MZ@ !L!This program cannot be run in DOS mode. $5儷f儷f儷f$f焷fb g焷fb gᄷfb g턷fb g脷fg焷fg愷f儶ff| g䄷f| g䄷f| g䄷fRich儷fPEd i" ,jT   ` `@ d` . , S Q @ P.text `.rdataĉ  @@.data` ^ @.pdata.` 0 @@.reloc, $ @BLI[UVWH`3Ha- I{MICII{HMMAMHHtHHHICIAH5)It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 9 $|$0HT$PHt$(LLD$ L$8 xpHH9܈tHH|LHLH ?HM H\$0L " HD$(H" HD$ H H$Hg8 HtH/u H#LH 9 3A#|3H$H`_^]HHH$H$H;t$H H9StE3L4 H8 t]HC0LH$ HLAыHuH HE HHtHL 7 H 3A7ʡH$Ht H)uAH$HH`_^]LI[UVWH`3H! I{MICII{HMMAMHHtHHHICIAH5} It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 6 $|$0HT$PHt$(LLD$ L$6 xpHH9܈tHH|LHL} H H H\$0L T HD$(HX HD$ H FH$H5 HtH/u HLH 3A4 3H$H`_^]HHH$H$HM H9StE3L H5 tHH)HH$Ht H)u)H$HH`_^]LI[UVWH`3H' I{MICII{HMMAMHHtHHHICIAH5} It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 4 $|$0HT$PHt$(LLD$ L$r4 xpHH9܈tHH|LHL| H H H\$0L D HD$(HH HD$ H 6 H$HtH/u HL ;4 3AH  3H$H`_^]HHH$H$AHHuL 3 3AH ƫ 詝HH$Ht H)uH$HH`_^]LI[UVWH`3H" I{MICII{HMMAMHHtHHHICIAH5f It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ x2 $|$0HT$PHt$(LLD$ L$b2 xpHH9܈tHH|LHLe H H H\$0L 4 HD$(H8 HD$ H & H$H1 HtH/u HLH 3A 3H$H`_^]HHH$H$H- H9StE3LM H1 tHHeHH$Ht H)u H$HH`_^]LI[UVWH`3H$ I{MICII{HMMAMHHtHHHICIAH5qIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ h0 $|$0HT$PHt$(LLD$ L$R0 xpHH9܈tHH|LHLH H H\$0L $ HD$(H( HD$ H H$H/ HtH/u H LH ќ 3A9ܙ3H$H`_^]HHH$H$H;M t$H4 H9StE3L Hs/ t]HC0LH HLAы HuH HE HHtHL . H  3AM*H$Ht H)u H$HH`_^]LI[UVWH`3HY! I{MICII{HMMAMHHtHHHICIAH5v It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ - $|$0HT$PHt$(LLD$ L$- xpHH9܈tHH|LHLVv H / H= H\$0L  HD$(H HD$ H H$HtH/u H L - 3AH l o3H$H`_^]HHH$H$AH HuL U- 3AH  HH$Ht H)u H$HH`_^]LI[UVWH`3H) I{MICII{HMMAMHHtHHHICIAH5r It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ + $|$0HT$PHt$(LLD$ L$+ xpHH9܈tHH|LHLVr H H- H\$0L  HD$(H HD$ H H$HG+ HtH/u H LH Y 3A \3H$H`_^]HHH$H$H H9StE3L H* tHH襥HH$Ht H)uyH$HH`_^]@USVWAWHl$HH6 H3HE'3H HEHk HEHp HEWH]MH]ILEM7IIH$IMt6Ht&HtHHBHHEHBHHEHHHEIAH5t2\$@JHt$8HEHL$0LEH|$(IE3HD$ ) "\$0LEHt$(HUHL$ LIv) H9]uH9HHEHH9\tHH|H|$0H _ HL$(L 3 HD$ LH HA H 8HHtTHtCHH|$0HH  L  HLHLMH  HL$(HD$ HBHHEHBHHEHHHEH9]uHTHHEH}H*HuH9Gt6H7H~HHEH/u HH}L$LuH H9VtE3L H( t/HH9WAL H' HHLHt H)uvHH|HGL  LV H HHHL$ H H H]H/u H#H=L' HLHt H)uHH|LH 3AV3>MLHIHHLHt H)uHH|L$HHM'H3(HĠA__^[]HHM~FH 8H LD$0L  HD$(Lq H HD$ H 3HHMt"IAHx~IH 7 Y& 3HHHHqH\$Ht$WH IHHMt2I2Hx~"HH 1  & 3H\$0Ht$@H _HHH!H+Hu HH\$0HHt$@H _H\$Ht$ WH`HH' 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=Y t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ $ $L$0HT$PH|$(LLD$ ILD$x$ xnHH|xtHH|LHLfX H H- H\$0L  HD$(H HD$ H HL$xHJ$ Ht H)u LH 3Ab3H\$pH$H`_HHHD$xHT$xHEdHL$xHHt H)uH$HH\$pH`_LI[UVWH`3Hi I{MICII{HMMAMHHtHHHICIAH5 l It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ # $|$0HT$PHt$(LLD$ L$" xpHH9܈tHH|LHLfk H ?HM H\$0L HD$(H HD$ H H$HtH/u H*L " 3AH Ԛ 3H$H`_^]HHH$H$AHHuL e" 3AH ~ )HH$Ht H)uH$HH`_^]H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=Dt4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHLH /H= H\$0L HD$(H HD$ H HL$xHZ Ht H)uLH ǂ 3Aur3H\$pH$H`_HHHD$xHT$xHHL$xHHt H)uH$HH\$pH`_H\$ UVWAVAWHl$HHq H3HE'HrH 3HEH]H HEH HEWH]MHLEMIHH@HHHt7Ht&HtHHG(HHEHG HHEHGHHEIFL t0\$@HELD$8E3HL$0LEHt$(I3HD$  "\$0HULD$(LHL$ LEI HHHHHH  Ht$0HL f H?L+ HHx HHLIH ^ HL$(H HD$ H LH= DHLHt H)uHH|LH 3Aw HG(HHEHG HHEHGHHEH9]uH HHEH9]uHVHHEH9]uHJ HHELMILEHUHLHt H)uHH|HM'H3H$HĠA_A^_^]LI[UVWH`3Hy I{MICII{HMMAMHHtHHHICIAH5It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ H $|$0HT$PHt$(LLD$ L$2 xtH}H9܈tHH|H$LHLH {H H\$0L  HD$(H HD$ H H$H HtH/u H_LH 3A踅3H$H`_^]HHH$HHLKL; ?t-H;t-H L MIH# H Z5H;uH Ha H HH+HHuHH- HtH+u HHtH.u HLH ˆ 3A݄(H+u H\H.u HMH=VHH$Ht H)u*H$HH`_^]@SUVWHH H3H$H 3HD$hH HD$pWH\$xMIHD$PMIIHIMt'HtHHBHHD$XHHHD$PIAH5t4\$@JHt$8HD$PHL$0LD$hH|$(IE3HD$ U $\$0LD$PHt$(HT$hHL$ LI? xmHH9\PtHH|LHL.H H( H|$0L  HD$(H HD$ H H= HLPHt H)uyHH|LH F{ 3Ayɂ3WHHHD$PHBHHD$XLD$XHHT$P\vHfHLPHt H)u HH|HH$H3~HĘ_^][H\$ UVWAVAWHl$HH H3HE'HrH7 3HEH]H HEH HEWH]MHLEMIHH@HHHt7Ht&HtHHG(HHEHG HHEHGHHEIFL!| t0\$@HELD$8E3HL$0LEHt$(I3HD$  "\$0HULD$(LHL$ LEI HHHHHH Ht$0HL H?Lk{ HH HHLIH HL$(H HD$ H H=E DHLHt H)uHH|LH G 3A JHG(HHEHG HHEHGHHEH9]uH HHEH9]uHHHEH9]uHHHELMILEHU?HLHt H)uGHH|HM'H3H$HĠA_A^_^]@SH`HH  3HD$PHL$xMHL$XMMIM"IMtHHHHD$xIBHt4L$@JHD$8ILL$0HD$xLD$(E3LD$PHD$  $L$0HT$PHD$(ILL$ MLD$x| HT$xIMHLD$0H IHn H?L C HHHDMHD$(H8 HL$ L<H LIH2 H )HL$xH Ht H)uLH j 3AQ}3H`[HHHT$xHuHvHHT$xH6HL$xHHt H)u=HH`[LI[UVWHH H3H$3H ICH ICWI[Hw ICMID$XI[M#MAMHHt8Ht'HtHHBHICHBHHD$`HHHD$XIAH5It1\$@HD$XHt$8HLD$0E3H|$(LD$pHD$ V !\$0HT$pHt$(LLD$ LD$XC HH9\Xt HH|rLH H> H|$0L * HD$(H. HD$ H Ht L HHHD$XHBHHD$`HBHHD$hHL$X[u Hu9HL$`?u jHuHL$h#uMNHtBHLXHt H)u HH|L  3A*H S V{3~;t;tNj-HHuL . 3A*H zHHLXHt H)uiHH|HH$H3H$HĠ_^]H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=C t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHL>C H H H\$0L d HD$(Hh HD$ H VHL$xH  Ht H)uLH  3A"y3H\$pH$H`_HHHD$xHT$xHUXHL$xHHt H)ulH$HH\$pH`_HHM~FH H LD$0L HD$(LA H HD$ H x3HHMt"IAHx~IH wA ) 3HHHH0LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5IV It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ H $|$0HT$PHt$(LLD$ L$2 xpHH9܈tHH|LHLU H H H\$0L  HD$(H HD$ H H$HtH/u HjL 3AH ̟ v3H$H`_^]HHH$H$AH HuL 3AH v ivHH$Ht H)uH$HH`_^]H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ 6 $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHL.H oH} H\$0L HD$(H HD$ H HL$xH Ht H)uYLH G 3At3H\$pH$H`_HHHD$xHT$xHU"HL$xHHt H)uH$HH\$pH`_HHM~FH H1 LD$0L  HD$(L!H HD$ H 3HHMt"IAHx~IH  3HHHHH\$UVWATAUAVAWHl$HH- H3HE3H HEH HEHG HEH\ HEH HEWH]WH]MILEMMMIIHy B4H0LALDIHB HHEHBHHEHBHHEHBHHEHHHEIAH5t2\$@HEHt$8HHL$0LEH|$(IE3HD$ G "\$0LEHt$(HUHL$ LI3 y B HH9\tHH|LH H" H|$0L  HD$(H HD$ H BHt LHHHEHBHHEHBHHEHBHHEHB HHEHuHBE3HMxLeH+E3HMwL}H LuHME3yFCH5  HLݿHt H)uHH|LH S D3q37H}Hw H9VtE3Lq H HgI9T$t!ALgI tH?I9Wt!ALDI tXHHYI9Ft$AL HIR t'HH9Wt>ALp H+ u$HHLݿHt H)uHH|=H|$(MMLt$ HIpHHLݿHt H)uwHH|HHMH3H$HA_A^A]A\_^]*A AA A@@LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5M It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLL H Hݢ H\$0L T HD$(HX HD$ H FH$HtH/u HL K 3A H 4 n3H$H`_^]HHH$H$AHYHuL  3A H ނ mHH$Ht H)u+H$HH`_^]LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH56 It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$r xpHH9܈tHH|LHL6 H H͠ H\$0L D HD$(HH HD$ H 6H$H HtH/u HLH A 3Ak3H$H`_^]HHH$H$H= H9StE3L]l H tHHcHH$Ht H)uH$HH`_^]@SUVWAVHH H3H$HrH] 3HD$hH\$xH HD$pWIHLD$PMIHH'HHHt(HtHHG HHD$XHGHHD$PHELae t2\$@HD$PLD$8E3HL$0LD$hHt$(H3HD$ 5 $\$0HT$hLD$(LHL$ LD$PH x}HHHHH  Ht$0HL H?Ld HH HHLIH HL$(H <HD$ H H=HLPHt H)uIHH|LH o 3AiwHG HHD$XHGHHD$PH9\$PuH4 HHD$PLD$XMuLILD$XHT$PI;HLPHt H)uHH|H$H3+HĐA^_^][@SH`HH 3HD$PHL$xMHL$XMMIM"IMtHHHHD$xIBHvt4L$@JHD$8ILL$0HD$xLD$(E3LD$PHD$  $L$0HT$PHD$(ILL$ MLD$x HT$xIMHLD$0H] IH H?L HHHDMHD$(H HL$ LH LIH H HL$xHMHt H)u LH } 3A eg3H`[HHHT$xHuHHHT$xHvHL$xHHt H)uHH`[H\$UVWAVAWHl$HHq H3HE'3H9 HEH HEH HEWH]MH]ILEMIIHZIMt6Ht&HtHHBHHEHBHHEHHHEIAH5t2\$@JHt$8HEHL$0LEH|$(IE3HD$  "\$0LEHt$(HUHL$ LI H}~H9\t HH|lLH H H|$0L HD$(H HD$ H NHt L'HHHEHBHHEHBHHEHMLuuVHtKH=HLHt H)uHH|LH _ 3Ad3H}H;=tKHH9Wt>AL\ H u$HHLHt H)u6HH|:LDIIZHHLHt H)uHH|HHM'H3rH$HĠA_A^_^]LI[UVWH`3Hy I{MICII{HMMAMHHtHHHICIAH5I@ It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 8 $|$0HT$PHt$(LLD$ L$" xpHH9܈tHH|LHL? H oH} H\$0L HD$(H HD$ H H$HHtH/u HSLH q 3AVb3H$H`_^]HHH$H$H H9StE3LIc HL tHHEJHH$Ht H)uH$HH`_^]H\$Ht$ WH`HHg 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=D+ t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ & $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHL* H _Hm H\$0L HD$(H HD$ H HL$xHHt H)uILH o 3A `3H\$pH$H`_HHHD$xHT$xHHL$xHHt H)uH$HH\$pH`_HHM~DH H! LD$0L HD$(L3H H HD$ 3HHMt"IAHxC~IH q 3HHú"HuL 3AH Oe _3HHLI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5; It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL; H Hݒ H\$0L T HD$(HX HD$ H FH$HHtH/u HLH !t 3A7 ^3H$H`_^]HHH$H$HM H9StE3L^ H tHHHH$Ht H)u)H$HH`_^]H\$UVWAVAWHl$HH H3HE'3H HEH HEH HEWH]MH]ILEMIIHZIMt6Ht&HtHHBHHEHBHHEHHHEIAH5)t2\$@JHt$8HEHL$0LEH|$(IE3HD$ 5 "\$0LEHt$(HUHL$ LI! H}~H9\t HH|lLH H H|$0L HD$(H HD$ H NHt L_HHHEHBHHEHBHHEHMLu@uVkHtKH=HLHt H)uHH|LH _ 3Aj[3H}H;=tKHH9Wt>AL̊ H u$HHLHt H)uHH|:LDIIJHHLHt H)ujHH|HHM'H3H$HĠA_A^_^]LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH56 It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL6 H H H\$0L d HD$(Hh HD$ H VH$HHtH/u HLH 3AY3H$H`_^]HHH$H$H] H9StE3LY H tHHE]HH$Ht H)u9H$HH`_^]@SH`HH0 3HD$PHL$xMHL$XMMIM"IMtHHHHD$xIBHt4L$@JHD$8ILL$0HD$xLD$(E3LD$PHD$  $L$0HT$PHD$(ILL$ MLD$x HT$xIMHLD$0H IH~ H?L S HHHDMHD$(HH HL$ LLH LIHB H 9HL$xHHt H)uLH 2x 3AwW3H`[HHHT$xHuHHHT$xHv*HL$xHHt H)uMHH`[HHM~FH H LD$0L } HD$(LI Hz HD$ H h3HHMt"IAHx~IH   3HHH3 HH) HHLI[UVWH`3Hi I{MICII{HMMAMHHtHHHICIAH5- It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ ( $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL, H _Hm H\$0L HD$(H HD$ H H$HHtH/u HCLH j 3Ad T3H$H`_^]HHH$H$Hݷ H9StE3LT H< tHHHH$Ht H)uH$HH`_^]HHM~FH XH LD$0L HD$(LH HD$ H 3HHMt"IAHx~IH Wy 3HHHH#LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5 It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL H H݆ H\$0L T HD$(HX HD$ H FH$HHtH/u HLH h 3Al R3H$H`_^]HHH$H$HM H9StE3LmR H tHHuHH$Ht H)u)H$HH`_^]H\$ UVWAVAWHl$HH H3HE'HrHg HE3H]H HEH HEH HEWWMHLEMMIHH[HHHtHHt7Ht&HtHHG0HHEHG(HHEHG HHEHGHHEIFL1K t0\$@HELD$8E3HL$0LEHt$(I3HD$  "\$0HULD$(LHL$ LEI HHHHHHH Ht$0HL H?LqJ HH HHLIH HL$(H HD$ H H=KHLHt H)uHH|LH p 3AUOHG0HHEHG(HHEHG HHEHGHHEH9]uH HHEH9]uHHHEH9]uH HHEHEHuH HHELMILEHUHD$ @HLHt H)u*HH|HM'H3裢H$HİA_A^_^]H\$Ht$ WH`3H H|$xMHD$PIH|$XMIIHHHtHHHHD$xIAH5w* t4|$@JHt$8HD$xHL$0LD$PH\$(IE3HD$ i $|$0LD$xHt$(HT$PHL$ LIS xmHH9|xtHH|LHL) H H H\$0L ( HD$(H, HD$ H H|$xHHtH/u HLH @S 3AL3H\$pH$H`_HHHD$xHL$xH' H9QtE3LM  tH6HH=,HL$xHt H)uH\$pHH$H`_@SH HAHHt(uHCH H9H0u HuOHH|$8cHK HtHC H)uH{HH@H/u HgH|$8H [H\$Ht$WH HIHIHHt Iօu#HK HtHHH\$0Ht$8H _H3H\$0Ht$8H _H(HHQ HA HHHtH*u H3H(H(AAtHHH(H\$0AHt$8H|$ 3HHtzH;q@H;bH;N u HDyH+H=Su:H/H+u HHHDHHu H=LH E 3A@JHH|$ HHt$8H\$0H(H(H\$Hl$Ht$ WH0HAH-3HHH;BtmHP`HtH9*t_Hv H;tSLXMt#MAHM~iIAH9t2HHI;|RHtDHH;tHuH;u.HH{dH; HH(u߼H HOH9Kt$HA`HtH9(t"u HǺHfHHT$ H E3IH|$ H\$(fH/Hu HlHuL 3A H E HHHH\$HHl$PHt$XH0_@SH HAHG LMtA H|$0HHu H=1HH HHu\H=HAHHu HLH N 3A HHHHHDHH|$0H [HH u H_HH|$0H [@USVWAUAVHl$HH$ H3HEHrH HE3H]HQ HEH HEH; HEH( HEWH WHEMHLEMEMI HH#HHH lpHHG@HHEHG8HHEHG0HHEHG(HHEHG HHEHGHHEIFLJA It-\$@HELD$8E3HT$0LEHt$(3HD$  \$0LLD$(LEHT$ HU M_HH ,pHHG@HHEHG8HHEHG0HHEHG(HHEHG HHEHGHHEH9]uH HHEH9]uHUHHEH9]uHQ HHEH9]uH5HHEH9]uH!HHEHUHuH HHUHEHMLuL$HLeL$L}H5@ E3HMIHUHUHuHH ) LmHE{H.Hu HHuA7H/u HeIE(MMlj\$ IILAHHu"AL fH n 3DH(uL$L$HHLݏHt H)uHH|H + Ht$0HL H?L> HH HHLIH  HL$(H XHD$ H H=HLݏHt H)ueHH|LH m 3ACHMH3ėHA^A]_^[]SmHm=m2m'mmm"nn nnmmmH\$Hl$Ht$ WH0HAH-3HHH;BtmL@`MtI9ht^H H;tRLXMt#MAHM~hIAH9t1HHI;|QHt@HH;tHuH;Pu.HHgH;LHH(uH0 HKH9Ot(HA`HtH9htauHHH5HHtRHHT$ H E3IHD$ H|$(H+Hu HH+u HHuL H =? 3AAHHH\$HHl$PHt$XH0_H\$Hl$Ht$ WH0HAH-3HHH;BtmHP`HtH9jt^H H;tRLXMt#MAHM~hIAH9t1HHI;|QHt@HH;tHuH;u.HH{iH;HH(uH HOH9Kt%HA`HtH9htu HfHfHHT$ H E3IH|$ H\$(H/Hu H HuL 3A+H > [@HHH\$HHl$PHt$XH0_H(HIjHuL >3AH : @3H(H(yHyHEyHHuL 3AH : ?3H(H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH= t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHL> H ߰Hr H\$0L d HD$(Hh HD$ H VHL$xH Ht H)uɱLH M 3Ak ">3H\$pH$H`_HHHD$xHT$xHHL$xHHt H)ulH$HH\$pH`_++H(HAH1 LMtA2HuL 3AH < Z=3H(@SH0H HT$(H/ E3HD$ IHD$(H HHt E3E33H H+u H|L H ; 3A<3H0[H(HAH LMtARHuL 3AH ; z<3H(LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5y It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ x $|$0HT$PHt$(LLD$ L$b xpHH9܈tHH|LHL H Ho H\$0L 4 HD$(H8 HD$ H &H$HtH/u HL +3AH \ :3H$H`_^]HHH$H$AHioHuL 3AH f\ :HH$Ht H)u H$HH`_^]۬H(HIHuL 3A H G= ":3H(H(yHHEHHuL 3A H 3= 93H(HA HHA H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH= t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHLN H Hl H\$0L t HD$(Hx HD$ H fHL$xHHt H)u٫LH N 3Ar 283H\$pH$H`_HHHD$xHT$xHHL$xHHt H)u|H$HH\$pH`_LI[UVWH`3H9 I{MICII{HMMAMHHtHHHICIAH5 It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL6 H Hk H\$0L HD$(H HD$ H H$HtH/u HL 3A H ` O63H$H`_^]HHH$H$AHHuL 53A H V` 5HH$Ht H)ukH$HH`_^]H\$WH0HAIcHDLAHH\$HH0_AHt$@HC3HHtzH;@H;H;=ק u HͨyH/H5u:H/H/u HHHDHHu1H5LH ; 3A4Ht$@HH\$HH0_Ht$@H\$HH0_HAH LMtA<HHtRHHT$ H E3IHD$ H\$(ȥH/Hu HΧH/u HHuL H D; 3A43HH\$HH0_HAH LMtAHHtVHHT$ H ~ E3IHD$ H\$(!H/Hu H'H/u HHrL 8H : 3Ad33ۋH\$HH0_HAHJ LMtAHHtVHHT$ H , E3IHD$ H\$(wH/Hu H}H/u HnHL H 9 3A23ۋH\$HH0_HAH LMtAAHHtVHHT$ H E3IHD$ H\$(ͣH/Hu HӥH/u HĥHL H m9 3A23ۋH\$HH0_HH\$HHH0_Zo~~UH\$Hl$Ht$ WH0HAH-3HHH;BtmHP`HtH9*t_HF H;tSLXMt#MAHM~iIAH9t2HHI;|RHtDHH;tHuH;Тu.HH+H;̢HH(uH HOH9Kt$HA`HtH9(tu HHfHHT$ H K E3IH|$ H\$(&H/Hu H,HuL 3AH 9 |0HHH\$HHl$PHt$XH0_LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5i It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ X $|$0HT$PHt$(LLD$ L$B xpHH9܈tHH|LHL H Hc H\$0L  HD$(H HD$ H H$HHtH/u HsLH y> 3As .3H$H`_^]HHH$H$H H9StE3Li/ Hl tHHHH$Ht H)uH$HH`_^]H\$Hl$Ht$ WH0HAH-3HHH;BtmHP`HtH9jt^H H;tRLXMt#MAHM~hIAH9t1HHI;|QHt@HH;tHuH;@u.HH H;<HH(uH0 HOH9Kt%HA`HtH9htQu HHfHHT$ H J E3IH|$ H\$(H/Hu HHuL '3AH 4 ,HHH\$HHl$PHt$XH0_H\$ UVWAVAWHl$HH! H3HE/HrH 3HEH]HN HEH3 HEWH]MHLEMI0HH=HHHt7Ht&HtHHG(HHEHG HHEHGHHEIFL& It-\$@HELD$8E3HT$0LEHt$(3HD$ g \$0LLD$(LEHT$ HUV HHHHHH 8 Ht$0HL  H?L% HH+ HHLIH  HL$(H eHD$ H HLHt H)uyHH|L 3A H A *LHG(HHEHG HHEHGHHEH9]uHU HHEH9]uHHHEH9]uHHHEHEHULEH5k E3HUHULE'IHuHH < L}HEH.Hu HHu"L 3A H A )MH/u H^EG0˸*AЍRD+A#ȍ IA AO8HLHt H)u HH|HM/H3}H$HĠA_A^_^]H\$Hl$Ht$ WH0HAH=3HHH;BtmL@`Mt I9t[H H;tOLXMt#MAHM~eIAH9t.HHI;|NHtHH;tHuH;@u.HH{H;<H!H(uH0 HKH9Nt+HA`Ht H9tNuHHHCHH5 HLMtAӛHHuApHHT$ H E3IH\$ Ht$(WH+Hu H]H+u HNHuAHH6Hu"AL TH / 3'HtHH/u HHH\$HHl$PHt$XH0_LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ X $|$0HT$PHt$(LLD$ L$B xpHH9܈tHH|LHLH HZ H\$0L  HD$(H HD$ H H$HHtH/u HsLH G 3A%3H$H`_^]HHH$H$H H9StE3L-& Hl tHH HH$Ht H)uH$HH`_^]H\$Ht$ WH HHI\HHu H5źkHCHHE LMtAHHtHHHHuSH5{H/u H<HtH+u H(LH * 3A$3H\$8Ht$HH _H/u HH+u HHH\$8Ht$HH _H\$Ht$ WH HHI\HHu H5ŹkHCHHE LMtAHHtHHHHuSH5{H/u H<HtH+u H(LH - 3A#3H\$8Ht$HH _H/u HH+u HHH\$8Ht$HH _H\$Ht$ WH`HHw 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=Tt4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ 6 $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHLH oH}V H\$0L HD$(H HD$ H HL$xHHt H)uYLH WL 3A!3H\$pH$H`_HHHD$xHT$xHeFHL$xHHt H)uH$HH\$pH`_H\$ UVWAVAWHl$HHy H3HE'HrH7 HE3H]Hޥ HEHc HEH HEH HEWH]WMHLEMMIHH,HHH lHHG8HHEHG0HHEHG(HHEHG HHEHGHHEIFL It-\$@HELD$8E3HT$0LEHt$(3HD$ ĵ \$0LLD$(LEHT$ HU aTHH kHHG8HHEHG0HHEHG(HHEHG HHEHGHHEH9]uHH HHEH9]uHHHEH9]uH HHEH9]uH| HHEH9]uHȇ HHELEHELMIHUHD$(LD$ LEsHLHt H)uzHH|H Ht$0HL H?La HH HHLIH HL$(H HD$ H H=;HLHt H)uHH|LH *. 3A EHM'H3TrH$HA_A^_^]Ðxsh]RG<H\$UVWHl$HHEv H3HE7H 3HEH¡ HEHo HEHT HE'WH]/WMIEMMTMAMAHHtGHt7Ht&HtHHHBHHEHBHHEHBHHEHHHEIAH5XIt/\$@HEHt$8HLD$0E3H|$(LEHD$ | \$0HUHt$(LLD$ LEk H9]uHV HHEH9]uHHHEHMHuH HHMHqfH9\tHH|ZH P H|$0HL$(L LqHHHHHHH|$0H KP Hʛ HLL HD$(ML H LMHL$ H H H HLHt H)uHH|L 3A H 2 R3 HBHHEHBHHEHBHHEHHHEH9]uH۪ HHEH9]uHHHEHMHuH HHMHEHULEH= E3HUHULE'IHM/HH ' H}HEH/Hu HHu"L 3A H 1 gH@HLHt H)uڍHH|HHM7H3RnH$Hİ_^]H\$WH0HHHL$ E3H  IHT$(HT$ OH+Hu HUHu(L 3AH z! 3H\$HH0_HH\$HH0_@SH`HH 3HD$PHL$xMHL$XMMIM"IMtHHHHD$xIBHt4L$@JHD$8ILL$0HD$xLD$(E3LD$PHD$  $L$0HT$PHD$(ILL$ MLD$x| HT$xIMHLD$0HL IHn H?L C HHHDMHD$(H8 HL$ L<H LIH2 H )HL$xHݭHt H)uLH :: 3A3H`[HHHT$xHuHvHHT$xHHL$xHHt H)u=HH`[{@SH HAHHt,u"HCH H9H0uH͊HH|$8HK03HtH{0H)uHK8HtH{8H)uHK@HtH{@H)uHKHHtH{HH)uiH(HhH|$8H [H\$Hl$Ht$ WH0HA3HH LMtA+HHuApHHT$ H E3IH\$ Hl$(H+Hu HH+u HHuAHHHu"AL H  3HuHH/u HUH\$HHHt$XHl$PH0_@USVWAUAVAWHl$HHn H3HELrH 3HEH]H/ HEH HEWH]MHLEMIHHbHIMt7Ht&HtHHF(HHEHF HHEHFHHEIGLp t0\$@HELD$8E3HL$0LELt$(I3HD$ F "\$0HULD$(MHL$ LEI2 H9]uH HHEH9]%H}IMHHHH Lt$0IL ӓ H?L HH HMLIH ˓ HL$(H HD$ H H=rfHLݿHt H)u*HH|LH G+ 3AA zHF(HHEHF HHEHFHH}HEH9]uH HH}HEH9]uHHHEH}HuH=HH}HEHUHE3L5x IHUHULuLmIH HE=I.Hu ICHuAB HH.u H!H;=*HuGIEIH LMtAHHu AE H/H/u H΅H趛u-Ht"AF L קH ) 3 A}0HtH.uHxHLݿHt H)uZHH|HMH3eHA_A^A]_^[]H\$Ht$WH HIHIHHt IօukHK Ht HօuYHK0Ht HօuGHK8Ht Hօu5HK@Ht Hօu#HKHHtHHH\$0Ht$8H _H3H\$0Ht$8H _@SH HHHI HC HqHHt H)uMHVHK0HC0HGHHt H)u#H,HK8HC8HHHt H)uHHK@HC@HHHt H)uσH؁HKHHCHHɁHHt H)u3H [HA0HHA0HA@HHA@HAHHHAHHA8HHA8H\$ UVWAVAWHl$HHh H3HE/HrH 3HEH]H> HEHÙ HEWH]MHLEMI ~HH@HHHt7Ht&HtHHG(HHEHG HHEHGHHEIFL t0\$@HELD$8E3HL$0LEHt$(I3HD$ W "\$0HULD$(LHL$ LEIC HHHHHH % Ht$0HL  H?L HH HHLIH HL$(H RHD$ H {H=DHLHt H)uZHH|LH '0 3A HG(HHEHG HHEHGHHEH9]uH: HHEH9]uHHHEH9]uH HHEHEHULEH5Hs E3HUHULE'IHuHH ! L}HEs~H.Hu HyHuAvH/u HXAw,I9_utH HUH|} E3H]IHEH ?HHt E3E33H& H/u HAL H . 3L  HLHt H)uHH|HM/H33`H$HA_A^_^]@SH HAHHt(uHCH H9H0u H-uYH~HKPHtHCPH)uHKXHtHCXH)u~H~HH [H [LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5YIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ X $|$0HT$PHt$(LLD$ L$B xpHH9܈tHH|LHLH |H> H\$0L  HD$(H HD$ H xH$HtH/u Hz}L 3AH H ! 3H$H`_^]HHH$H$AH9aHuL 3AH H v! y HH$Ht H)u|H$HH`_^]H\$Ht$WH HIHIHHt IօHK Ht Hօu}HK0Ht HօukHK8Ht HօuYHK@Ht HօuGHKHHt Hօu5HKPHt Hօu#HKXHtHHH\$0Ht$8H _H3H\$0Ht$8H _@SH HzHHI HC HyHHt H)u{HyHK0HC0HyHHt H)u{HyHK8HC8HyHHt H)uy{HyHK@HC@HsyHHt H)uO{HXyHKHHCHHIyHHt H)u%{H.yHKPHCPHyHHt H)uzHyHKXHCXHxHHt H)uz3H [HAPHHAPHAXHHAXLI[UVWH`3HY I{MICII{HMMAMHHtHHHICIAH5)It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLH OxH]: H\$0L ԅ HD$(H؅ HD$ H sH$HwHtH/u H3yLH i0 3A-3H$H`_^]HHH$H$Hh H9StE3L) H, tHH:HH$Ht H)uxH$HH`_^]LI[UVWH`3Hi I{MICII{HMMAMHHtHHHICIAH5 It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLfH ?vHM8 H\$0L ă HD$(Hȃ HD$ H qH$HtH/u H*wL 3AH ,& 3H$H`_^]HHH$H$AHicHuL e3AH % )HH$Ht H)uvH$HH`_^]kH(I(pHuL 3A H ( 3H(H(I,pHuL 3A H ( s3H(H(I0kpHuL o3A H  33H(+H\$WH0HHHL$ E3H q IHT$(HT$ OsH+Hu HUuHu(L 3AH : 3H\$HH0_HH\$HH0_H(I0oHuL 3A H 8 S3H(H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=dt4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ F $L$0HT$PH|$(LLD$ ILD$x0 xnHH|xtHH|LHLH rH4 H\$0L  HD$(H HD$ H mHL$xHHt H)uisLH  3A3H\$pH$H`_HHHD$xHT$xH%HL$xHHt H)u sH$HH\$pH`_H(I8kmHuL o3A H  33H(@SH`HH 3HD$PHL$xMHL$XMMIM"IMtHHHHD$xIBH{t4L$@JHD$8ILL$0HD$xLD$(E3LD$PHD$ 2 $L$0HT$PHD$(ILL$ MLD$x HT$xIMHLD$0H2 IH~ H?L } HHHDMHD$(H} HL$ LzH 5pLIH} H kHL$xH}Ht H)u] HD$ H ,KHL$xHrHt H)uPLH M3A\3H\$pH`_HHHD$xHyOHHL$xHjOHt H)uIPHH\$pH`_H\$ UVWAVAWHl$HH5 H3HE'HrH` HE3H]H.a HEHf HEHd HEH]f HEWH]WMHLEMMIJHH,HHH 'HHG8HHEHG0HHEHG(HHEHG HHEHGHHEIFL>It-\$@HELD$8E3HT$0LEHt$(3HD$ q \$0LLD$(LEHT$ HUq aTHH 'HHG8HHEHG0HHEHG(HHEHG HHEHGHHEH9]uHj HHEH9]uHTMHHEH9]uH`j HHEH9]uH\j HHEH9]uH^ HHELEHELMIHUHD$(LD$ LE裳HLHt H)uMHH|H Z Ht$0HL Y H?LHHY HHLIH Y HL$(H 8LHD$ H GH=oHLHt H)uEMHH|LH :3AFHM'H3-H$HA_A^_^]Ð_TI>3(# @SH HAHHt(SLuHCH H9H0u HmLuHL$xHeHt H)uCLH G3A 3H\$pH$H`_HHHD$xHT$xHUHL$xHHt H)u,CH$HH\$pH`_H\$Ht$ WH`HHO 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ d $L$0HT$PH|$(LLD$ ILD$xpd xnHH|xtHH|LHLH @H H\$0L DN HD$(HHN HD$ H 6<HL$xHcHt H)uALH 3Af3H\$pH$H`_HHHD$xHT$xH|HL$xHHt H)uLAH$HH\$pH`_LI[UVWH`3H V I{MICII{HMMAMHHtHHHICIAH5It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ b $|$0HT$PHt$(LLD$ L$b xpHH9܈tHH|LHLH >H H\$0L dL HD$(HhL HD$ H V:H$HtH/u H?L [b3ATH 3H$H`_^]HHH$H$AHIHuL b3ATH HH$Ht H)u;?H$HH`_^]ˀH(I@9HuL a3AH S3H(HHM~FH =H!K LD$0L K HD$(LY?H K HD$ H 83HHMt"IAHx~IH ?` 3HHHHXH(I08HuL `3AsH 03H(HT$WHPM~EH <HKJ LD$0L 7J 3HD$(LQH|$ H H*J $83HP_Mt#IAHx~IH _ 3HP_HI3H\$`Ht$xH|$hH8HHtCH;H9Cu}HH\$hH+u H3=HLB HL$hA hHHuvH5=_HL$hHt H)u<LH -3APHt$xHH\$`HP_H=HD$hHtH+H5^uH<HL$hH)u<Ht$xHH\$`HP_HA HH=A Ht$xHH\$`HP_LI[UVWH`3H N I{MICII{HMMAMHHtHHHICIAH5It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ ] $|$0HT$PHt$(LLD$ L$] xpHH9܈tHH|LHLFH 9H H\$0L G HD$(HG HD$ H v5H$H']HtH/u H:LH 3A<3H$H`_^]HHH$H$H}* H9StE3LH\ tHHuWHH$Ht H)uY:H$HH`_^]H\$ UVWAVAWHl$HH H3HE'HrHJ 3HEH]H>K HEHN HEWH]MHLEMI 5HH@HHHt7Ht&HtHHG(HHEHG HHEHGHHEIFLt0\$@HELD$8E3HL$0LEHt$(I3HD$ W[ "\$0HULD$(LHL$ LEIC[ HHHHHH %E Ht$0HL E H?L˿HHE HHLIH D HL$(H R7HD$ H 2H=ZDHLHt H)uZ8HH|LH 3AoHG(HHEHG HHEHGHHEH9]uH:T HHEH9]uH6HHEH9]uH5HHELMILEHUKHLHt H)u7HH|HM'H3 H$HĠA_A^_^]@SH HAHHt4@t 6uHCH H9H0u H7u)H|$8HH{H@H/u H7H|$8H [LI[UVWH`3HaC I{MICII{HMMAMHHtHHHICIAH5ylIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ hX $|$0HT$PHt$(LLD$ L$RX xpHH9܈tHH|LHLkH 4HH\$0L $B HD$(H(B HD$ H 0H$HWHtH/u H5LH 3Ax3H$H`_^]HHH$H$H%% H9StE3LH|W tHHueHH$Ht H)u4H$HH`_^]@SH HAHHt,s4u"HCH H9H0uH4Ht$8HH|$@J4HK3HtHsH)uo4H{H;=( Hc Q @ƅHt$8tH|$@HH QQ HQ H [H@HH/u H4H|$@H [H\$Ht$WH HIHIHHt Iօu#HKHtHHH\$0Ht$8H _H3H\$0Ht$8H _H(H1HQHAH1HHtH*u Ho33H(@SH HAHHt,2u"HCH H9H0uH 3Ht$8HH|$@2HK3HtHsH)u2HKHtHsH)u2H{H;=& Hc bP @ƅHt$8tH|$@HH P H6P H [H@HH/u Hu2H|$@H [HHM~DH 1H> LD$0L > HD$(Lh3H> H HD$ ,3HHMt"IAHxN~IH qh;T 3HHHB AHI8^y"L cT3AdH t'3HHtH8 HH8 HHH!8 HH8 HH@USVWAUAVAWHl$HHR H3HELrHA 3HEH]HB HEH F HEWH]MHLEMI_,HHbHIMt7Ht&HtHHF(HHEHF HHEHFHHEIGLt0\$@HELD$8E3HL$0LELt$(I3HD$ R "\$0HULD$(MHL$ LEIR H9]uHmL HHEH9]%H}IMHHHH B< Lt$0IL #< H?LHH5< HMLIH < HL$(H o.HD$ H  *H=QfHLݿHt H)uz/HH|LH /3AʻHF(HHEHF HHEHFHH}HEH9]uHVK HH}HEH9]uH.HHEH}HuH=,HH}HEHUHE3L5 IHUHULuLmIH 7= HE,I.Hu I.HuAHH.u Hq.H;=z,HuGIEIH: LMtAh.HHu AH/H/u H.HDu-1(Ht"AL 'PH 3YA}0HtH.uH-HLݿHt H)u-HH|HMH3#HA_A^A]_^[]@SUVWAVHH[ H3H$H: 3HD$hH: HD$pWH\$xMILD$PMIIHIMt'HtHHBHHD$XHHHD$PIAH-ict4\$@JHl$8HD$PHL$0LD$hH|$(IE3HD$ N $\$0LD$PHl$(HT$hHL$ LIN Ht$XHuH5l*HHt$XH(H9\PtHH|H|$0HHD$(L e8 HD$ LbHHHHH|$0HH I8 HLH.8 HHL$(L 8 HLJbHHD$ LMH n*H8 H &H=MHLPHt H)uy+HH|LH V3Aɷ3HBHHD$XHHHt$XHD$PHuH5:)HHt$XH|$PHV)H9Wt!AL#HRM t0H/)H;5(tGH9VtAALH"M u'HHLPHt H)u*HH|0LHI衩HHLPHt H)ux*HH|HH$H3 HĐA^_^][H\$Ht$WH HIHIHHt Iօu5HKHt Hօu#HKHtHHH\$0Ht$8H _H3H\$0Ht$8H _HHM~FH (H!6 LD$0L 6 HD$(LidH 6 HD$ H #3HHMt"IAHx~IH /dK 3HHHH鱆H\$UVWHH* H3H$H= 3HD$hHJ6 HD$pWH\$xMIHD$PMIIHIMt'HtHHBHHD$XHHHD$PIAH5ct4\$@JHt$8HD$PHL$0LD$hH|$(IE3HD$ J $\$0LD$PHt$(HT$hHL$ LI|J xsHfDH9\PtHH|LHLbH &H_4 H|$0L K4 HD$(HO4 HD$ H ="H=IfDHLPHt H)u'HH|LH 3AX 3NHHHD$PHBHHD$XLD$XHHT$P HHLPHt H)uD'HH|HH$H3H$HĐ_^]@SH HAHHt,&u"HCH H9H0uH&Ht$8HH|$@z&HK3HtHsH)u&HKHtHsH)u&HK HtHs H)um&H{H;=  Hc AD @ƅHt$8tH|$@HH C HD H [H@HH/u H &H|$@H [{H\$Ht$WH HIHIHHt IօuGHKHt Hօu5HKHt Hօu#HK HtHHH\$0Ht$8H _H3H\$0Ht$8H _@SH Hc#HHIHCHQ#HHt H)u-%H6#HKHCH'#HHt H)u%H #HK HC H"HHt H)u$3H [@SH HAHHt,c$u"HCH H9H0uH}$Ht$8HH|$@:$HK3HtHsH)u_$HKHtHsH)uF$HK HtHs H)u-$H{H;= Hc IB @ƅHt$8tH|$@HH A HB H [H@HH/u H#H|$@H [LI[UVWH`3H8 I{MICII{HMMAMHHtHHHICIAH59It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 8E $|$0HT$PHt$(LLD$ L$"E xpHH9܈tHH|LHLH o!H}H\$0L . HD$(H. HD$ H H$HtH/u HZ"L D3AH D诮3H$H`_^]HHH$H$AHY HuL D3AH YHH$Ht H)u!H$HH`_^]@UVWATAVAWHl$HH H3HELzWEMHLHHu HH1 H$3HEH]H2 HEMIHH!HIMt&HtHHF HHEHFHHEIFLt4D$@HELD$8LHL$0LEL|$(I3HD$ B LD$(LMLL|$ HUIB x}IMHHH , L|$0IL , H?LKHH, HMLIH ~, HL$(H HD$ H lH5%BDHLHt H)uHH|H/u HLH 3AHF HHEHFHHEH9]uH; HHELEMuLoILEHULI,HLHt H)u9HH|H/u H!H$HMH3HĘA_A^A\_^]@SH HAHHt,u"HCH H9H0uHHt$8HH|$@ZHK3HtHsH)uHKHtHsH)ufHK HtHs H)uMH{H;= Hc < @ƅHt$8tH|$@HH O< H< H [H@HH/u HH|$@H [LI[UVWH`3H* I{MICII{HMMAMHHtHHHICIAH5QZIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ X? $|$0HT$PHt$(LLD$ L$B? xpHH9܈tHH|LHLYH HH\$0L ) HD$(H) HD$ H H$H>HtH/u HsLH 3Ab ̨3H$H`_^]HHH$H$H H9StE3LiHl> tHHUHH$Ht H)uH$HH`_^]H\$UVWHH H3H$HH, 3HD$hHz* HD$pWH\$xMIHD$PMIIH}IMt'HtHHBHHD$XHHHD$PIAH5 Xt4\$@JHt$8HD$PHL$0LD$hH|$(IE3HD$ = $\$0LD$PHt$(HT$hHL$ LI< H}{fDH9\Pt HH|cLH \H& H|$0L & HD$(H& HD$ H vHt LLWHHHD$PHBHHD$XHT$XH;=Ht$P@H;)H; u H uPHtEH=<@HLPHt H)uHH|LH 3A3~HH9Vt>ALVH; u$HHLPHt H)ufHH|0DHHHHLPHt H)u4HH|HH$H3H$HĐ_^]LI[UVWH`3H% I{MICII{HMMAMHHtHHHICIAH5It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ x: $|$0HT$PHt$(LLD$ L$b: xpHH9܈tHH|LHLH HH\$0L 4$ HD$(H8$ HD$ H &H$H9HtH/u HLH A3A3H$H`_^]HHH$H$H- H9StE3LH9 tHHHH$Ht H)u H$HH`_^]H\$WH0HHHL$ E3H IHT$(HT$ H+Hu HHu(L 193A H 3H\$HH0_HH\$HH0_@SH HAHHt,u"HCH H9H0uH Ht$8HH|$@HK3HtHsH)uHKHtHsH)uHK HtHs H)uH{H;= Hc i4 @ƅHt$8tH|$@HH 4 H=4 H [H@HH/u H\H|$@H [+@SH HAHHt,u"HCH H9H0uHHt$8HH|$@HK3HtHsH)uH{H;= Hc 3 @ƅHt$8tH|$@HH a3 H3 H [H@HH/u HnH|$@H [@SH`HHp) 3HD$PHL$xMHL$XMMIM"IMtHHHHD$xIBHVt4L$@JHD$8ILL$0HD$xLD$(E3LD$PHD$ 5 $L$0HT$PHD$(ILL$ MLD$x5 HT$xIMHLD$0H=IH H?L  HHHDMHD$(H HL$ LH LIH H y HL$xH-5Ht H)uLH j3AE3H`[HHHT$xHuHHHT$xH&qHL$xHHt H)uHH`[@SH HAHHt,u"HCH H9H0uH-Ht$8HH|$@HK3HtHsH)uHKHtHsH)uHK HtHs H)uHK(HtHs(H)uH{H;= Hc 1 @ƅHt$8tH|$@HH 0 H0 H [H@HH/u HcH|$@H [H\$WH0HHHtRHHT$ H  E3IHD$ H|$(H+Hu HH+u HHu(L 3H 3A83H\$@H0_HH\$@H0_HHM~FH XH LD$0L  HD$(LH HD$ H  3HHMt"IAHx~IH y2 3HHHHHHM~FH Hq LD$0L ] HD$(L9NHZ HD$ H H 3HHMt"IAHx~IH M1 3HHHH顡H\$Ht$WH HIHIHHt IօuYHKHt HօuGHKHt Hօu5HK Ht Hօu#HK(HtHHH\$0Ht$8H _H3H\$0Ht$8H _LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5dIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ h0 $|$0HT$PHt$(LLD$ L$R0 xpHH9܈tHH|LHLcH HH\$0L $ HD$(H( HD$ H H$H/HtH/u H LH a3Aܙ3H$H`_^]HHH$H$H H9StE3L=H|/ tHHUHH$Ht H)u H$HH`_^]@SH HAHHt,s u"HCH H9H0uH Ht$8HH|$@J HK3HtHsH)uo HKHtHsH)uV HK HtHs H)u= H{H;= Hc + @ƅHt$8tH|$@HH _+ H+ H [H@HH/u H H|$@H [H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=Dvt4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ F- $L$0HT$PH|$(LLD$ ILD$x0- xnHH|xtHH|LHLuH  HH\$0L  HD$(H HD$ H HL$xH,Ht H)ui LH 3A–3H\$pH$H`_HHHD$xHT$xHHL$xHHt H)u H$HH\$pH`_@SH HAHHt, u"HCH H9H0uH Ht$8HH|$@Z HK3HtHsH)u H{H;=j Hc K) @ƅHt$8tH|$@HH ( H) H [H@HH/u H H|$@H [LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5qIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ * $|$0HT$PHt$(LLD$ L$r* xpHH9܈tHH|LHLpH HH\$0L D HD$(HH HD$ H 6H$H)HtH/u HLH 3A3H$H`_^]HHH$H$H= H9StE3LH) tHH5hHH$Ht H)uH$HH`_^]@SUVWHH H3H$H 3HD$hH] HD$pWH\$xMIHD$PMIIHIMt'HtHHBHHD$XHHHD$PIAH5Lt4\$@JHt$8HD$PHL$0LD$hH|$(IE3HD$ E( $\$0LD$PHt$(HT$hHL$ LI/( LD$XMuL" ILD$XH&H9\PtHH|H|$0HHD$(L  HD$ LbHHHHH|$0HGH  HLH HHL$(L  HLKHHD$ LMH H H H=A'HLPHt H)uHH|LH 3A J3hHBHHD$XHHLD$XHD$PMuL ILD$XHT$PH蹜HfDHLPHt H)uzHH|HH$H3HĘ_^][HuHHH%E@SH HAHHt,u"HCH H9H0uHHt$8HH|$@HK3HtHsH)uHKHtHsH)uHK HtHs H)uHK(HtHs(H)utHK0HtHs0H)u[H{H;=N Hc o# @ƅHt$8tH|$@HH # HC# H [H@HH/u HH|$@H [H\$Ht$WH HIHIHHt IօukHKHt HօuYHKHt HօuGHK Ht Hօu5HK(Ht Hօu#HK0HtHHH\$0Ht$8H _H3H\$0Ht$8H _H\$UVWHH H3H$H 3HD$hH HD$pWH\$xMIHD$PMIIH}IMt'HtHHBHHD$XHHHD$PIAH5HHt4\$@JHt$8HD$PHL$0LD$hH|$(IE3HD$ r# $\$0LD$PHt$(HT$hHL$ LI\# H}{fDH9\Pt HH|cLH HU H|$0L A HD$(HE HD$ H 3vHt LtGHHHD$PHBHHD$XHT$XH;Ht$P@H;H;w u HmuPxHtEH=t"@HLPHt H)u*HH|LH 3A!z3~H?H9Vt>ALH;" u$HHLPHt H)uHH|0DHHHHLPHt H)uHH|HH$H3H$HĐ_^]LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5TIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLVTH HH\$0L HD$(H HD$ H H$H7 HtH/u HLH y3AL3H$H`_^]HHH$H$H H9StE3LH tHHuHH$Ht H)uiH$HH`_^]H\$WH0HHHL$ E3H IHT$(HT$ H+Hu HHu(L 3A+H U3H\$HH0_HH\$HH0_H(H HuL ;3A0H 3H(LI[UVWH`3H9 I{MICII{HMMAMHHtHHHICIAH5RIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLvQH /H=H\$0L  HD$(H HD$ H H$HWHtH/u HLH A3Al3H$H`_^]HHH$H$H H9StE3L͇H  tHH_HH$Ht H)uH$HH`_^]HHM~DH (H LD$0L  HD$(LmC3H H HD$ 3HHMt"IAHxF~IH 5CK 3HHH- HuL {3AFH \?3HH+HHM~FH hH LD$0L  HD$(LBH HD$ H 3HHMt"IAHx~IH B 3HHHHH\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=Nt4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHL>NH HH\$0L d HD$(Hh HD$ H VHL$xH Ht H)uLH /3A&"3H\$pH$H`_HHHD$xHT$xHRHL$xHHt H)ulH$HH\$pH`_@USVWAVHHH( H3HE3H HuMHEIHuHMIIHHHtHHHHEIAL58Bt2t$@JLt$8HEHL$0LEH\$(IE3HD$  "t$0LELt$(HUHL$ LI xkHfH9ttHH|M Ht|LAH HH\$0L  HD$(H HD$ H qHuH&HtH.u HLH @3A ;3MHHHEH]H H9StE3LH H3HEH}H]ZLHu"L5HH/HH q HUH MIFIHHMH / HHtH/u HI.u IHu L52H;tBH H(u/L5H+u HMH 3A HHMHt H)uzHHMH3HĀA^_^[]LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5a?It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL>H H H\$0L HD$(HHD$ H vH$H'HtH/u HLH 3A:<3H$H`_^]HHH$H$HH9StAL/H tHHHH$Ht H)uVH$HH`_^]LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5a=It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL<H HH\$0L tHD$(HxHD$ H fH$HHtH/u HLH 3A ,}3H$H`_^]HHH$H$Hm H9StE3L}H tHHHH$Ht H)uIH$HH`_^]HHM~FH HLD$0L mHD$(L)AHjHD$ H X3HHMt"IAHx~IH @  3HHHHLI[UVWH`3Hi I{MICII{HMMAMHHtHHHICIAH59XIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ ( $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLWH _HmH\$0L HD$(HHD$ H H$HHtH/u HCLH 13Az3H$H`_^]HHH$H$H H9StE3L9{H< tHH_HH$Ht H)uH$HH`_^]LI[UVWH`3HY I{MICII{HMMAMHHtHHHICIAH5!HIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL~GH OH]H\$0L HD$(HHD$ H H$HwHtH/u H3LH ъ3A x3H$H`_^]HHH$H$H H9StE3L)yH, tHHHH$Ht H)uH$HH`_^]HHM~FH HHLD$0L HD$(L@HHD$ H 3HHMt"IAHx~IH @i 3HHHH1H(HT$@HD$@)|u3H(HL$@Ht H)uHHH(LI[UVWH`3Hy I{MICII{HMMAMHHtHHHICIAH5Y@It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 8 $|$0HT$PHt$(LLD$ L$" xpHH9܈tHH|LHL?H oH}H\$0L HD$(HHD$ H H$H HtH/u HSLH y3Au3H$H`_^]HHH$H$H H9StE3L vHL tHH5RHH$Ht H)uH$HH`_^]HHM~FH hHLD$0L HD$(L>HHD$ H 3HHMt"IAHx~IH = 3HHH HH HHLI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5IIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLHH HݧH\$0L THD$(HXHD$ H FH$HHtH/u HLH 3A s3H$H`_^]HHH$H$HM H9StE3LsH tHH5HH$Ht H)u)H$HH`_^]LI[UVWHH H3H$3H| ICH ICWI[H ICMIHD$XI[MIIH-IMt8Ht'HtHHBHICHBHHD$`HHHD$XIAH5A;t4\$@JHt$8HD$XHL$0LD$pH|$(IE3HD$ 3 $\$0LD$XHt$(HT$pHL$ LI xtHH9\XtHH|LHL:H fHH|$0L HD$(HHD$ H H=fDHLXHt H)uJHH|LH 3A:p3hHHHD$XHBHHD$`HBHHD$hLL$hHLD$`HT$X輙HfHLXHt H)uHH|HH$H3>H$HĠ_^]H\$Ht$ WH`3HH H\$xMHD$PIH\$XMIIHIMtHHHHD$xIAH5'9t4\$@JHt$8HD$xHL$0LD$PH|$(IE3HD$   $\$0LD$xHt$(HT$PHL$ LI xiHH9\xtHH|L Ht{L8H GHUH|$0L HD$(HHD$ H H\$xH=rHtH+u H.LH ,n3AnHHHD$xH HT$XH E3H\$PIHD$XH HHt E3E33H H+u HL H m3AnHL$xHt H)u|H\$p3H$H`_H\$Hl$WH0A|IA|HHلt3H HH EHH\$HHl$PH0_HQHHt$@HtLLPvHq@HtqH;-uHtHFHH)H HT$ E3Ht$ IHl$(yHtC|HHH3t E3HtC|Ht$@H\$HHl$PH0_H\$Ht$WH0A|3H|$@HA|Hلt!H HrH !HQHHtLL$@LAuHy@HtyH;5uHtHGHH)H HT$ E3H|$ IHt$(jHtC|H\$HHt$PH0_HT$@HsE3LD$@HsC|uHD$@H\$HHt$PH0_H|$@E3LNjHH\$HHt$PH0_x@SVWHH H3H$HT 3HD$hH HD$pWH\$xMID$PMMAMHHt'HtHHBHHD$XHHHD$PIAH5/NIt1\$@HD$PHt$8HLD$0E3H|$(LD$hHD$ I !\$0HT$hHt$(LLD$ LD$P6 +HH9\PtHH|H|$0HHD$(L HD$ LH tHH  HHt_HtMHH|$0HUH HLHHHL$(L HLMHHD$ LMHBHHD$XHHHD$PHT$XHt$PHH;ˋ@H; H; u HuIHt>HLPHt H)uHH|L =3AUH ~i3oLD$`D$`|$dH/HHu'L 3AUH 9hHfHLPHt H)u*HH|HH$H3螼HĐ_^[LI[WHP3HIC H1ICHICAICAIC HICICICu 3H\$`HP_LL$pHLD$xHT$@D$(H\$ H\$`HP_H\$Ht$WH HIHIHHt IօuJHKHt Hօu8HK8Ht Hօu&HK@Ht HօuHK Ht Hօu3H\$0Ht$8H _̀y|HuHHH(LAHYH rM@H  3H(@SH A|HHD$0A|tH CHH {3H [HQHHtLSLL$0o[HI@Ht;HAH;c u HHt C|H [HT$0HmHLD$0E3HnC|u HD$0H [LD$0AHH [@SH HQH{0t H{x|H:HQu7HHH|$8_oH{HH/u H3H|$8H [H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=.t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHL..H HݘH\$0L THD$(HXHD$ H FHL$xHHt H)uLH c3Ad3H\$pH$H`_HHHD$xHT$xH蕯HL$xHHt H)u\H$HH\$pH`_H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=,t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHLN,H HH\$0L tHD$(HxHD$ H fHL$xHHt H)uLH /3A2b3H\$pH$H`_HHHD$xHT$xHBHL$xHHt H)u|H$HH\$pH`_@SH0yxHHl$HHt$PH|$XLt$(L|$ 6HLp`HhhLxp3HF`HFhHFp9CxuHt8HT$@HD$@H%fu H_HL$@Ht H)uHN`H~hH^pLv`Lt$(HnhHl$HL~pL|$ Ht$PHt H)uHtH/u H~H|$XHtH+uHH0[H%_H0[HAPHHDQHH(LHt3HBt#HHIPIPPHt H)u3H(H HH H(LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5i)It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ H $|$0HT$PHt$(LLD$ L$2 xpHH9܈tHH|LHL(H HH\$0L HD$(HHD$ H H$HHtH/u HcLH qq3A ^3H$H`_^]HHH$H$H H9StE3L_H\ tHHHH$Ht H)uH$HH`_^]HAXHHDHH(LHt3HBt#HHIXIPXHt H)uh3H(H "HCH jH(H\$Ht$WH IHHMt2IrHx~"HH qK 3H\$0Ht$@H _HHH蓊H+Hu HH\$0HHt$@H _@WH HApHHt HH _HyhH\$8uHHHH\$8H _Ht$@HHt3H_h<E3LHH:H.Hu H0HuHt$@3ۋH\$8H _HptH+u HH_pH_pHHH\$8Ht$@H _H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=\*t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ V $L$0HT$PH|$(LLD$ ILD$x@ xnHH|xtHH|LHL)H HH\$0L HD$(HHD$ H HL$xHHt H)uyLH Z3AZ3H\$pH$H`_HHHD$xHT$xH襨HL$xHHt H)uH$HH\$pH`_H\$ UVWAVAWHl$HHѲ H3HE/HrHW HE3H]H HEH HEH HEH HEWH WHEMHLEMEMIHHHHH ]HHG@HHEHG8HHEHG0HHEHG(HHEHG HHEHGHHEIFLSIt-\$@HELD$8E3HT$0LEHt$(3HD$  \$0LLD$(LEHT$ HU *_HH ٤]HHG@HHEHG8HHEHG0HHEHG(HHEHG HHEHGHHEH9]uHF HHEH9]uHHHEH9]uH HHEH9]uH HHEH9]uH HHELMMuL ILMHEHMHULELuH5 HMHUHULEIHH LM'E3HuL}HE0H.Hu H6HuA/H/u HIu--Ht"AL #H }3UWA@HLݏHt H)uHH|H Ht$0HL H?LQHHHHLIH HL$(H (HD$ H H={HLݏHt H)u5HH|LH |3AVHM/H3蔪H$HHA_A^_^]ÐZZZZzZoZdZu[j[_[T[I[>[3[LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5)4It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ ( $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL3H _HmH\$0L HD$(HHD$ H H$HtH/u HJL 3AH qT3H$H`_^]HHH$H$AH HuL 3AH vqITHH$Ht H)uH$HH`_^]H\$Ht$ WH`HHo 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=Lt4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHLH OH]H\$0L HD$(HHD$ H HL$xHzHt H)u9LH 7^3A!R3H\$pH$H`_HHHD$xHT$xH襐HL$xHHt H)uH$HH\$pH`_LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH590It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 8 $|$0HT$PHt$(LLD$ L$" xpHH9܈tHH|LHL/H oH}H\$0L HD$(HHD$ H H$HtH/u HZL 3AH ,wP3H$H`_^]HHH$H$AHɤHuL 3AH vYPHH$Ht H)uH$HH`_^]H\$Ht$ WH`HHg 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=,%t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ & $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHL$H _HmH\$0L HD$(HHD$ H ּHL$xHHt H)uILH N3AN3H\$pH$H`_HHHD$xHT$xHHL$xHHt H)uH$HH\$pH`_H\$ UVWAVAWHl$HH H3HE'HrH' 3HEH]H HEH HEWH]MHLEMIHH@HHHt7Ht&HtHHG(HHEHG HHEHGHHEIFLHt0\$@HELD$8E3HL$0LEHt$(I3HD$  "\$0HULD$(LHL$ LEI HHHHHH Ht$0HL H?L[GHHHHLIH HL$(H HD$ H |H=5DHLHt H)uHH|LH i3A:LHG(HHEHG HHEHGHHEH9]uH HHEH9]uHHHEH9]uHzHHELMILEHURHLHt H)u7HH|HM'H3谟H$HĠA_A^_^]HHM~FH HQLD$0L =HD$(L H:HD$ H (3HHMt"IAHx~IH  3HHHHQLI[ VWAVH`3H8 I{MICII{LMMAMHHtHHHICIAH5'It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLe&H .H<~H\$0L HD$(HHD$ H H$HVHtH/u HLH PU3A.kI3H$H`A^_^HHH$H$H$H H9UtE3LIH IFIH LMtAHHt}H;~@H;oH;[ u HQyH+H5`u=H%2H+u HtOH8u+%Ht7H5!LH /T3A/JH(uHպHH=˺HʺHH=H$Ht H)uH$HH$H`A^_^LI[UVWH`3H) I{MICII{HMMAMHHtHHHICIAH5)It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLH H-{H\$0L HD$(HHD$ H H$HGHtH/u HLH Qm3A\F3H$H`_^]HHH$H$H H9StE3LFH tHH5HH$Ht H)uyH$HH`_^]LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH51It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLH HyH\$0L HD$(HHD$ H H$H7HtH/u HLH D3A>LD3H$H`_^]HHH$H$H H9StE3LDH tHH՞HH$Ht H)uiH$HH`_^]LI[UVWH`3H) I{MICII{HMMAMHHtHHHICIAH5!It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL&!H H wH\$0L HD$(HHD$ H vH$HtH/u HL {3AH $`?B3H$H`_^]HHH$H$AH虦HuL %3AH _AHH$Ht H)u[H$HH`_^]HHM~FH HLD$0L }HD$(L1HzHD$ H h3HHMt"IAHx~IH  3HHHHщLI[UVWH`3Hy I{MICII{HMMAMHHtHHHICIAH5IIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ 8 $|$0HT$PHt$(LLD$ L$" xpHH9܈tHH|LHLH oH}tH\$0L HD$(HHD$ H H$HHtH/u HSLH a@3AF?3H$H`_^]HHH$H$H H9StE3LI@HL tHHHH$Ht H)uɲH$HH`_^]H(u H03HE3H L8AHHuH(HtHA HiHHH(H(u H03H$E3HJ L8AHHt(H HA HHH HA(HH(H(H(HHuH(Hs HA(HH(@SUWHH~ H3HD$x3H H|$PMHD$`HH|$hMIIH"IMtHHHHD$PIAHt4|$@JHD$8E3HL$0HD$PLD$(ILD$`HD$  $|$0HT$`HD$(MHL$ LD$PI H\$PIMHLD$0HiqIHH?L HHHDMHD$(HHL$ LH LIHH H|$PHYHtH/u HLH Z3An<3HHH\$PHuHHH\$PH$W3HD$pD$`HHtEH HT$hHFLIHHH\$hWH.Hu HmHuL H Y3A;HHL$PH$Ht H)u*HHL$xH3誏HĐ_][H(HHuH(H HA(HH(H(HHuH(H HA(HH(H(WHHuH(H[ HA(HH(H('HHuH(H3 HA(HH(H(HHuH(H HA(HH(H(u H03HE3H L8AHHt|H٫HA HΫHH HA(HHA0HHHHA8HHHHA@HHHzHAHHoHHH(H(H('HHuH(H HA(HH(H(HHuH(H HA(HHAPHHHHAXHتHHH(H(u H03HE3H L8AHHt(HyHA HnHH\ HA(HH(H(H(HHuH(H3 HA(HH(H\$WH`3H HL$xMHD$PIHL$XMMAM HHtHHHHD$xIAH=t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$  $L$0HT$PH|$(LLD$ ILD$xx xpHfH|xtHH|LHLH ũHkH\$0L JHD$(HNHD$ H <HL$xHHt H)uLH 73Ax73H\$pH`_HHHD$xHL$xfHL$xHHt H)u]HH\$pH`_H(HHuH(H; HA(HH(H(WHHuH(H HA(HH(H('HHuH(H HA(HH(H(u H03HE3H L8AHHt(HyHA HnHH HA(HH(H(H(HHuH(H[ HA(HH(H(WHHuH(H3 HA(HH(H('HHuH(H HA(HH(H(HHuH(H HA(HH(H(u H03HdE3H L8AHHt(HIHA H>HH| HA(HH(H(H(HHuH(HS HA(HH(H H%bH(GHHuH(H HA(HH(LI[UVWH`3HI I{MICII{HMMAMHHtHHHICIAH5yIt4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xtH}H9܈tHH|H$LHLүH KHYgH\$0L вHD$(HԲHD$ H  H$HHtH/u H/LH ?3A23H$H`_^]HHH$HHLKL; t-H;t-H LR6MIHH *5H;uH pH16H HH+HHuHH-HtH+u HhHtH.u HTLH *>3A1(H+u H,H.u HH=&HH$Ht H)uH$HH`_^]H(WHHuH(H3 HA(HH(H('HHuH(H HA(HH(H(u H03HdE3H L8AHHt(HIHA H>HH HA(HH(H(H(HHuH(H{ HA(HH(H(WHHuH(HS HA(HH(H('HHuH(H+ HA(HH(H(HHuH(H HA(HH(H(u H03H4E3HZ L8AHHt(HHA HHH HA(HH(H(H(HHuH(Hs HA(HH(H(WHHuH(HK HA(HH(H(u H03HdE3H L8AHHt=HIHA H>HH HA(H)HA0HHHH(H(H(u H03HԟE3H L8AHHt(HHA HHH\ HA0HH(H(H(u H03HdE3H L8AHHt(HIHA H>HH HA0HH(H(H(u H03HE3H L8AHHt=HٞHA HΞHH HA(HHA8HHHH(H(H(gHHuH(HC HA(HH(E3I@MLIDHMLIDH%H(HHuH(H HA(HH(H(u H03HԝE3H L8AHHt(HHA HHH HA(HH(H(H(gHtH c HH(H(H(H(7HHtHH 8 HH(H =HHPH 2HH (HHXH H HHB(HH(H(H(HHuH(H HA(HH(H(HtH HH(H(H(H(wHtH HH(H(H(H03HLI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$ ȿ $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHLFH H ^H\$0L HD$(HHD$ H vH$H'HtH/u HLH G3A<)3H$H`_^]HHH$H$H} H9StE3L)Hܾ tHHHH$Ht H)uYH$HH`_^]H\$WH 3HH; ڏ ‹ z …tUH% _ HcHHKH)uW3HHCHHHH\$8H _H03HHHuH\$8H _H\$WH 3HH; B ‹ " …tSH͸  HcHHKH)uPWHHCHHH\$8H _H03HHHuH\$8H _H\$WH 3HH; ‹ ʸ …tYHu HcHHKH)uW3HHCHC lHSHH\$8H _H03HHHuH\$8H _H\$WH 3HH;  ‹ b …tYH G HcHHKH)uW3HHCHC HHH\$8H _H03HHHuH\$8H _H\$WH 3HH; Z ‹ …tYH ߷ HcHHKH)uPW3HHCHC  HHH\$8H _H03HHHuH\$8H _H\$WH 3HH; ‹ …tYH= w HcHHKH)uW3HHCHC \HCHH\$8H _H03HHHuH\$8H _@SVWHH} H3H$H 3HD$hH HD$pWH\$xMID$PMMAMHHt'HtHHBHHD$XHHHD$PIAH5It1\$@HD$PHt$8HLD$0E3H|$(LD$hHD$  !\$0HT$hHt$(LLD$ LD$Pv xmHH9\PtHH|LHL}H ƕH_H|$0L KHD$(HOHD$ H =HLPHt H)uHH|L ?3A:H /#3HHHD$PHBHHD$XHD$XH HHH;t_HXHt4L@HM~H@H9t:HHI;|/fffHH;tHuH;H=HE=HHu#L t3A<H .8"HDHLPHt H)uHH|HH$H3vHĐ_^[H\$WH 3HH; J ‹ j …tUH O HcHHKH)u0W3HHCHHהHH\$8H _H03HHHuH\$8H _H\$WH 3HH; ‹  …t[H HcHHKH)uWHHCC C0JH1HH\$8H _H03HHHuH\$8H _H\$WH 3HH; ‹ …tYHU HcHHKH)uW3HHCHC HHH\$8H _H03HHHuH\$8H _H\$WH 3HH; b ‹ B …tUH ' HcHHKH)u0W3HHCHHגHH\$8H _H03HHHuH\$8H _H\$WH 3HH; ʆ ‹ …taH ϲ HcHHKH)uW3HHCC C0HC@DH+HH\$8H _H03HHHuH\$8H _LI[UVWH`3H I{MICII{HMMAMHHtHHHICIAH5It4|$@H$Ht$8HLD$0E3H\$(LD$PHD$  $|$0HT$PHt$(LLD$ L$ xpHH9܈tHH|LHL&H ߏHQH\$0L dHD$(HhHD$ H VH$HHtH/u HÐLH QD3A3H$H`_^]HHH$H$H] H9StE3L}H tHH5HH$Ht H)u9H$HH`_^]@SVWHHt H3H$Ht 3HD$hHn HD$pWH\$xMID$PMIIHIMt'HtHHBHHD$XHHHD$PIAH5t4\$@JHt$8HD$PHL$0LD$hH|$(IE3HD$ i $\$0LD$PHt$(HT$hHL$ LIS xmHH9\PtHH|LHLrH H<H|$0L (HD$(H,HD$ H H=ӰHLPHt H)uHH|LH '3A>3HHHD$PHBHHD$XH] HL$X tH=6HE=4HHuL EH v'3A@qHHLPHt H)uHH|HH$H3\nHĐ_^[H\$Ht$ WH`HH 3HD$PHL$xMHL$XIMMAM HHtHHHHD$xIAH=4t4L$@HD$xH|$8HLD$0E3H\$(LD$PIHD$ 6 $L$0HT$PH|$(LLD$ ILD$x xnHH|xtHH|LHLH oH}MH\$0L HD$(HHD$ H HL$xHHt H)uYLH 3A3H\$pH$H`_HHHD$xHT$xH%HL$xHHt H)uH$HH\$pH`_@SH HAXHHu9HAHHHtKHCXHuH [HHHH [HHCXH [H(HHDHLAXHQXMtI(u IR3H(@SH HAHHHuHIH HCHHuH [HHCHH [@VH0HلHHDŽHtEHh HuHh Hu Ht-HH0^H;tH ,H5JH 3H0^H\$@HHl$HHH|$(Lt$ HHH3H/Hu HIHtbHHHtBH(JH[HHtULHJHH/Du HEyEH+u H3H|$(Hl$HH\$@Lt$ H0^H 7H t܃HIHԉHHt0LHIHH/Du HoEuH ՇH [vHkIHnHHt0LHDIHH/Du H EH oH .H!IH3HHt6H;φtLHHH*H/u Hy#H H HH(LHt3HBt#HHIHIPHHt H)u(3H(H HەH *H(H\$ UVATAUAWH$HHl H3HHr 33H]3HUE3E3E3Ht-H;u3H MHHH HH$L$H ir CH|v HHH QDHHH GHQv ÃHHHGL1v H r H+v mAHPLG%= teAH|L$@HT$8HD$0LD$(LlD$ EH33DHu H3H GHvu H3H GH_u HH 'u 2{HIH=p Du߀HHt2LL=b H3hHĢ L)3u HH95 uHHHp LIj H z E3hHs HuHHHp L1_ H B E3bhHk HuHH95r t'L H H o $yArHHuA}HEH:Hu#Lo HEH&yAEH s ^syA-H s vyAH s ~yAH[H HH H Ss eHHuAG~Hk@HHYH LH n yLHH: H H HH QHEHL HLHHHMHHUHE@HE3IHHHULH~HHHHu H6H}3HMHH}_qHMH3HEMqHMHLHE@80HEHMMkL)3u H݂H q yApH q yAXH q yA@H q yA(H f?HHHř H HEHHH H HUHH'HH HHHH4 HMHH* HH< HH HH HHH]ffHT$ LEHLHmu HMHEHHM3HEoH3HHEoHU@8pHXHEH HEHHMHMH8HEuL)7u H$H=p 3H < E3ɉ|$(E33HD$ = HHuAH LH o |yL)3u HHo E3H ' E3|$(3HD$ ۢ HHu]A0H LH o {y A L)3u HQHjo E3H E3|$(3HD$ l HHu]AHǖ LH %o ?{y AH( HI HUH  E3MHE|$ sjHHu]AXH= HH{jHH4H n LHzH 3Hˋ H  E3E3|$ 3iHHu]AH LH An [zy AHD 3H K%{H f E3E3Hi 3҉|$ iHHu]AkH LH m yy AEL)3u H~u]AH% HUH Z E3HEMHqm |$(HD$  HHu]A#H=݂ HHhHHH 'm LH;yL)6u H}L)3u H}H HUH ͏ E3HEMHl Dd$(HD$  HHu]A%9H= HH\hHHH l LHxL)6u HG}L)3u H9}H HhH 4 E3HhAH HpHߓ HxHl Dd$(HD$ ! HHu]A-vH 3HEH_ HEH HEHTHsgHHHTLH k wL)6u H\|HH|L)3u HE|H~ HUH [ E3HEMHBk Dd$(HD$ R HHu]A2H=5 HHfHHcH j LH wHL)6u H{L)3u H{H HUH ō E3HEMHj Dd$(HD$  HHu]A3 H= HH,fHHH Yj LHmvL)6u H{L)3u H {3H h*wL | HUH x MHe H HEHi Dt$(HD$  HHu]A[QH= HHteHHH i LHuL)6u H_zL)3u HQzH2 HUL { MH ͏ HEHJi Dt$(HD$ Z HHu]A_H= HHdHHSH h LHu8L)6u Hy3L)3u HyHo H  Lփ E3HD$03Hh HD$(H HD$ VHHH LH rh tL)3u H6y3tHHHC HtgHC HtOHۏ Ht7H+ HtHˏ HrtHӈ HZtH HBtHC H*tH HtHC HsHK HswH Hs_Hۇ HsGH Hs/H HsH HjsH HRsH H:sHS H"sH+ H sH LH Qf krL)3u HwHuIHrHHKH^yHH7H38LH!H݈ HLx IH|$0MHD$(H|$ }LHH;tLH7HqL)3u HgvHx Mω|$0LƉ|$(IH|$ {HHHbx LH He bqoL)3u H vM)7u IuE3M)uu IuE3L)6u HuL H5 H g qy]AqZLsH H g Ey]As.L H HHH~pLHL)6u H] H J Li E3HD$0HU HD$(Hx HD$ CHHYH;u LH aX ;L)3u H.fH\ H Li E3HD$0H%U HD$(Hx HD$ CHH׹Ht LH W }L)3u HeH`\ H L i E3HD$0HT HD$(Hw HD$ CHHUHmt LH sW 7L)3u H@eH[ H L h E3HD$0H7T HD$(H#w HD$ BHHҸH.x LH V 菮L)3u HdH[ H Lg E3HD$0HS HD$(Hv HD$ BHHIHx LH V +L)3u HRdH[ H Ll E3HD$0HIS HD$(H5v HD$ AHHǷHY LHHHtq H V 萭L)3u HcHKq H U HHkHseHHWL)3u HcH q LH U #yH=AQ#L)6u HOcHZ H qLk E3HD$0HFR HD$(H2u HD$ @HHH-v LH U 螬L)6u HbLaHl H T ny]AWLx Hu H T By]A+Ls Hr vHHuH=AHm]HHܵL)6u H+bHl LH BT H«L)3u HaHX H Lj E3HD$0HP HD$(Hs HD$ M?HHIHr LH S K+L)3u Ha\HHLlv HH"u \H-X H VLj E3HD$0HKP HD$(H7s HD$ >HHHHHHu H`Hgt LH S 航yH=A鈶L)6u H`HW H L_i E3HD$0HO HD$(Hr HD$ >HHHj LH R ƳL)6u H=`HVO HHH9 E u#L-E Mt IEI+H =k GH /k LpE HaE |LHIHIj H Q LH*H}8HU@HHE@LE3I轀M)7Hu I_E3M)uu Iz_E3Hu]AHi LH {Q L)6u H8_bZHH}L'k HHk OZ^Li HHr 0Z?HU H jLg E3HD$0HM HD$(Hp HD$ 9<LHHHHHu H^HKm MH P yH=A0M)uu IG^H8U H  Lf E3HD$0H>M HD$(H*p HD$ ;LHAHh LH P 薧#M)uu I]HT H  Ljf E3HD$0HL HD$(Ho HD$ ;LHHq LH O M)uu IW]L`\HAg H rO y]AMֳLdn Hm qLHuH=4ANӲIXHHM)uu I\Hng LH N E3lկL)6u H\Ly HXm H N <y]AO%La Hn H N y]APpVHHFHn LH VN ѥ(L)6u H \VHHHg LH N 莥ӮL)6u H[VHHLf HHeo VHR H  L` E3HD$0HJ HD$(Hzm HD$ 8LH7HHHHu H1[Hi MH PM ˤyH=@}A\߰M)uu IZHQ H  L!` E3HD$0HI HD$(Hl HD$ G8LHHd LH L EfM)uu I~ZHI E33HHH9 ? u"L=? MtII+H d AH |d L? H? 蹗LHuH=J|A_H0d H 1L <HHu A_锯E3HuHLH]PHUPIzL)3Lu HYM)7u IYE3Mu]A_EHc MH K 4UM)uu ImYH~P H  L^ E3HD$0HdH HD$(HPk HD$ 6LHHKc LH AK 輢˫M)uu IXTLHLm HHl  TyHO H " L] E3HD$0HG HD$(Hj HD$ 6LH.LIEIEHu I\XHe MH {J M)7u I0XHIG E3E3HHH9 = u"H= HtHH+H +c ?H c L= H= jHHfHGe H I HHGE3LeXLHE`HU`HxL)6Lu HW3L)3u HtWMu]Ai Hd MH I M)7u I5WL&t Hg H XI ˠy]A鴭L2e Hci H ,I 蟠y]A鈭XZQLHLHi LH H `.M)7u IVQLHHHe LH E  M)7u IS MLHH^ LH LE 蟜ˤM)7u IRL o Hc H $E oy]ArXLd He H D Cy]As,.LLH<Hd LH D M)7u I>R LLHH] LH vD ɣM)7u IQ%MLHLbg HH`^ MxLkZ IHye LYHH H  L&^ E3HD$03H@ HD$(Hc HD$ .HHLIIHu IHQH] LH W@ E3nLɢL)3u HQLQb Ha eHHH @ HHH9 6 u"L=6 MtII+H %d p8H d L6 H6 4LH0HOI9GuM97uIII I&NHHM)7u ITPHHhMLHԡL)3u H.PL)6u H PI?KHHM)7u IOHZ LH TB E3蔙bL)6u HOLNHY H !B dy]AMHF H D! LmW E3HD$0H> HD$(Ha HD$ ,HHˠHp] LH A L)6u H+OH\F H ! LW E3HD$0H"> HD$(Ha HD$ |,HHBH9c LH 7A z$L)6u HNIHHLZ HHa` IӟLZ HH2b IHE H V" LOV E3HD$0H[= HD$(HG` HD$ +LHiHHHHu HMHX MH U@ 蘗M)7u IMH< E33HHH9 3 u"H3 HtHH+H W I5H W L3 Hr3 HHHW H ? 螋LHE3HuhIHEpHUpHQnM)uLu IME3L)3u HMMu]A馣HW MH R? 蕖M)7u ILGLHޝLU HHl` GHC H ! LT E3HD$0H; HD$(H^ HD$ )HHiLIIHu I8LH^ LH > E3ϕ-L)3u H LH"; HHH9 1 u#L-1 Mt IEI+H W 3H V L1 H1 HLHuH=mAxH] H = ˉHHuH=mA7E3LexIHHIjlL)6Hu H9K3M)uu I(KE3Hu]A齡H[] LH i= 謔 L)3u HJFHHߛL=L HHW ELL HHd^ EHA H $ LR E3HD$0H9 HD$(Hy\ HD$ 'LHVHHHHu H0JHYT MH < ʓyH=?lA!ޟM)uu IIELHܚLU HHV  ELT IHs] DH@ H g$ LQ E3HD$0H8 HD$(H[ HD$ &HHHLIEIEHu I=IHX LH ; E3Ԓ L)3u HIHg@ H @$ LP E3HD$0H8 HD$(HZ HD$ _&HHH[ LH ; ]L)3u HHH? H $ LzP E3HD$0H7 HD$(HzZ HD$ %HHH\ LH : L)3u H HHFICHHHlJLHӘH3FHHHD ILO HHD$0MHY HD$(Ld$ NLHL;tLHHC_L)3u HnGBHH4L=R HH [ BH> H # LN E3HD$0H46 HD$(H Y HD$ $LHʗHHHHu HFIHHHM)4$u IFHEE3LH8U II9Gu LJ%BuCUL)3u HoFAHH*L>Q HH Z A H= H @# LM E3HD$0H55 HD$(H!X HD$ #LHHHHHu HEIGHHM)4$u IEHDE3LHZ II9Gu LJ&AvBKL)3u HpEHL 3D$0MωD$(MHHD$ JHH#HL LH O4 i@L)3u HEM)7u IEE3L)6u HDM)uu IDHF7 I?LHuH=fAE镚I#GHHb?LHPH3 HHH9 * u"H* HtHH+H K ,H K Ly* Hj* ՁHHH*C HLPI HHD$0MH.V HD$(L|$ GKLHI;tMHHc?M)uu ICHE; H ! LH E3HD$03H2 HD$(HU HD$ !LH)HBMIHW I9D$u LJ>G@M)uu I@CHY2 E3HHH9 [) u&H Z) HMHtHH/H JW *H H8I LH 1 E36L)6u Hp>H 6 H LA E3HD$0Hg- HD$(HSP HD$ HHSH~R LH 0 过5L)6u H=#9HHLR HHQ 9Hi5 H L[A E3HD$0H, HD$(HO HD$ LHHHHHO MH / yH=z_A.IwH4 H iL@ E3HD$0H., HD$(HO HD$ LHH G LH S/ 膆،IH+ E33HHH9 /# u"H.# HtHH+H F =$H F L# H" zHHdHF H . zLHEE3HIHHH<]3LbIJHE3?MHF MH ]. 萅I0 6LHL= HHH 6L< IHDO 6cH'3 H L? E3HD$0Hm* HD$(HYM HD$ HH LIIYHBE LH - E3谄ڊH06HHLF HHG 6LE HHnN 5wHY2 H BL;> E3HD$0H) HD$(HL HD$ LH,HHHH I MH , ݃yH=R\As IOLD HiL H z, 襃y]A 鎐LV HC H N, yy]A bHPK L tN LJ HJ HD$(HF HD$ NLHuH=[A UI4HHIHC LH + E3H`L!8H C H + 趂y]A 韏HU HH ( E3IHHY3HHu A PHf0 H L`< E3HD$0H' HD$(HJ HD$ Hl- HHHL LH * HmW3HHчLM HHK D3H/ H L; E3HD$0H& HD$(HI HD$ MLHgHHHHK MH * 9yH=YAM bIH ,qLF= HHD n,RH') H  L95 E3HD$0H HD$(H C HD$ wHHHHH HD LH 8# czHH HHH9 a u"L=` MtII+H : H : L7 H( mLHOH@D H " tnLH0E3LIHHIQ3HDI,IE3!E3H~HC LH D" oy~H*HH~L; HH\A *t~L; HH-C *U~Hh' H  L"3 E3HD$0HV HD$(HBA HD$ LH ~HHHBH#9 MH q! x}IH E33HHH9  u#L% Mt I$I+H 8 RH 8 L H{ lLHuH=PA oH8 H lHHu A E3HIHHI HD$ LH{LII$聸H; MH  E3uzIXB'LHzL8 HH= /'zL7 IH? 'dzH# H jL4 E3HD$0H HD$(H= HD$  LHzLII諷H5 MH  uyI腷H^ E3E3HHH9 - u"H4 HtHH+H P5 H B5 L  H hHHbyH5 H ] iHHCyE3LIH H HK3LHȶH3辶MxH4 MH  txI菶y%LHxL>6 HH6 f%xL4 IH= G%lxH(" H L3 E3HD$0H HD$(H; HD$ PHHxLII$Hj8 LH  E38swH踵L 9 L: H9 =HHwHl$LHwHpH3 MH  ryH=?KA I<H-! H L2 E3HD$0H HD$(H: HD$ MLHvH = LH 0 KrvI˴H H ]L>2 E3HD$0H HD$(Hn: HD$ LHsvH MI$HH5 H  qCvIHH5 H  5fLHvH)HHuI HN5 LH L E3dquH"HHuL3 HHQ4 "uLT2 HH"; "quH H L1 E3HD$0HK HD$(H79 HD$ LH&uHHH7H5 MH v pyH=IA7 |I!LHtL2 HHp8 !tL+5 IHA: !~tH H L.0 E3HD$0Hj HD$(HV8 HD$ HH(tLII$UH3 LH  E3osH,!HHsL1 HH7 !sL1 HHj9  sH H L?/ E3HD$0H HD$(H7 HD$ LHFsHHHH`/ MH  nsIYH2 E3HHH9 T u"H5S HtHH+H '/ H / L* H VbHHrH. H < bLHlrE3L(IH0H0HE3L跰I蟰HE3蔰M.rHl. MH  mrIeOLHqL|% HH0 <qL]% IH7 qH. H GL- E3HD$0H HD$(H5 HD$ &HH7qLII$路H- LH  E3mqH莯L' H05 H  ly]A yL? H/ H  ly]A yL% HP5 H y ly]A uyL- H/ H M `ly]A IyL' H4 H ) 4ly]A yL> H. H  ly]A xL$ H4 H  ky]A xL#- HT. H  ky]A xLW> HX. H  ky]A mxL3+ H4 H U Xky]A AxL. H- H ) ,ky]A xH  IZHHnH#LHnH3萰LHnH IL* IHD$0MH3 HD$(Ll$ 2(HHvnL;tLHHNVnHH H LI* E3HD$0AH HD$(H2 HD$ HHmH& LHHHHG1 PmH肬H) 3D$0LˉD$(MIHD$ ~%HHmH) LH ! ;mH+H3!IIL< H;, H l giy]A- PvL) H1 H @ ;iy]A. $vLB4 H+ H  iy]A/ uL 4 Lz0 H/ 3LHuH=OAA6 uI3LHrlI7H) MH  E3hIlIH7 H LY& E3HD$0H HD$(H0 HD$ LHkH2 LH * hkI蝪H H L& E3HD$0HT HD$(H@0 HD$ LHakH MIHH+ H  g2kIH\+ H  \LH kHLHjIH!+ MH G :gyH=?Ah wsI謩LHjL[) HH* xjL( IH0 dYjH H .L$ E3HD$0H HD$(H. HD$ mLHiLII$H+ MH e E3UfiIըLHiL( HHB. }iLe( IH0 ^iH H L# E3HD$0H< HD$(H(. HD$ LHiLII(H & MH  ehIH E3E3HHH9 Z u"HY HtHH+H % 8H % L0 H! XHH\hH% H  YHH=hE3L8IH@H@H7<3L]HEH3;MgH% MH dgI LHgL# HH' gL IHJ. fgH H L" E3HD$0Hs HD$(H_, HD$ HHgLII$^HG$ LH E3cfH5LV H+ H cy]AtpL 6 H;& H t _cy]AHpL6 H' H H 3cy]ApL H+ H  cy]A oLF$ H% H by]A!oLr H+ H by]AFoL.5 H_% H by]AGloL4 HC& H t Wby]AH@oL& H* H H +by]AIoLr# H$ H  ay]AJnL~4 H$ H ay]AhnL Hk* H ay]AinL% H$ H {ay]AjdnL3 H+$ H | Oay]A8nL3 H% H P #ay]A nL H) H $ `y]AmL+ Ho# H `y]AmL + L6( Hw' z+HHcHLHcHHZ! MH [`yH=8AlI͢H H L E3HD$0H HD$(Hp( HD$ LHcH* LH  _bI\H H .Lw E3HD$0H HD$(H' HD$ mLHbHr MI$HH=# H  Y_QbI١H# H k SLH*bHBHH bI螡H" LH - E3^aHu_HHaL$! HH! LaL HH( -aH H LH E3HD$0H HD$(H& HD$ 6LH4aHHHȠHQ# MH W "^yH=6A_jI蔠~LH`LC HH& k`L$ IH' L`H H 6LO E3HD$0H HD$(H% HD$ UHH6`LII$H LH u E3=]`H轟H HHH9 [u"H5ZHtHH+H  H  L1H"PHH_HB H  NQLHm_E3LHIHPHPH33HIHE33H-_H LH  J\_Hʞ HH^L HHO  ^L HH&  ^H H L E3HD$0H1 HD$(H$ HD$ HHO^HHHH LH  w[yH=3A&wgHLb H# H | ?[y]AU(hL- H H P [y]AVgL- H H $ Zy]AWgLn H# H  Zy]AXgL H3 H  Zy]AYxgL~ H" H  cZy]A~LgL, H H | 7Zy]A gL, H H P Zy]AfL H" H $ Yy]AfL& HW H  Yy]AfLJ, Hc H  Yy]ApfL., HG H  [Yy]ADfL H! H | /Yy]AfL H H P Yy]AeLr+ H H , Xy]AeLF+ H H  Xy]AeL HC! H  Xy]AheL# H H  SXy]A  ZLA HH"  ZH H sLT E3HD$0H8HD$(H$ HD$ HH9ZHHH$H LH 3|WZHHHYL HHi YL HH:! YH- H Lo E3HD$0HcHD$(HO HD$ HHYYHHHOH0 LH  VYH)HHHH9 u"L=MtII+H  eH  LH)JLHXH H JLHXE3LXIH`H`Id-3H芘IrIE3gE3HAXH< LH U#XH5HHWLL HH  WL- HHs WHn H L E3HD$0HHD$(H HD$ LH\WHHH舗Hq MH ?TyH=W-A aITH H FL E3HD$0H HD$(H HD$ eLHVH" LH cTVI  LHjVH LH &TLVI視L H H aSy]A0`Lc Ht H 5Sy]A1`L Hh H Sy]AU`L H H xSy]AVa`L H H LSy]Az5`L H H  Sy]A{ `L H H qRy]A_L; Hl H ERy]A_L% Hh H !Ry]A_L% H H pRy]AY_L  L H LHuH=*Ad^IHH,TI蘔H LH wE3QTHoH H L E3HD$0H&HD$(H HD$ HHSH= LH ~QSHH H PL) E3HD$0HHD$(H HD$ HHSHLHHH H PRH|H H ^iEHHRHLHRHAH MH PyH=)A\I LHQRL HHz 2RL IHK RHfH L E3HD$0HtHD$(H` HD$ HHQLII`HA LH ?E3OQH7H3HHH9 u#L%Mt I$I+H  pH  LH4CLHuH='A[H H CHHu A[E3HhIHpHpIZ&3H耑HhI`E3HPH5 LH 3NzPH.HHNPLE HH /PL& HHl PHH L E3HD$0HHD$(H HD$ LHOHHH聐Hj MH `MyH=P&AZIML. Hg H 0My]AoZL H H wMy]Ap`ZLHOL HHb NLe IH3 NH^H L E3HD$0H\HD$(HH HD$ HHhNLII$GH LH .E3L4NHL H8 H tLy]A]YHHML HH_ MLb HH0 MHcH L E3HD$0HYHD$(HE HD$ LHSMHHHEH MH 4KyH=$AWIW3IHE33HHLH LH ~ Lt$ R7LH [HLI13L蟍H臍M]LH MH uJ?LIXL Hr H KJy]AWL  L HZ ]LHuH="AVIHHKI֌H/ LH E3-JKH譌HvH L E3HD$0HdHD$(HP HD$ HH+KH{ LH YI KH<H H L7 E3HD$0HHD$(H HD$ MHHJH LH KIJHˋHHHH9 u"H5HtHH+H H LH<HHJHP H i\=LHIE3LxIHHH 3H,IHE3 3HIH LH XHIH؊HHgILHH] HILHH )IHaH L E3HD$0H?HD$(H+ HD$ HHHHHH+H LH "GyH=ASHHHtHL HHd UHLg HH5 6HHH yL E3HD$0H^HD$(HJ HD$ HHGHHHJH LH A3FGH"H H ĉL- E3HD$0HHD$(H HD$ 3HHPGH8LHHH H  F!GH蠈H H :HHFH HHFHeH LH \EyH=4AwQH1L HK H ,Ey]ApRH L z L H, HD$ *HHuH=AFQHHHFH裇H LH 3DEH{HlH LV E3HD$0H2HD$(H HD$ HHEHI LH /DuEH HHPEL HHw 1EL2 HHH EHH \L E3HD$0HqHD$(H] HD$ HHDHHH]H LH \CyH=,AOH)H*H L  E3HD$0HHD$(H HD$ :HH$DH?LHHH  H 'CCH觅H H 7HHCHHHCHlH LH k3BCHDLH^ H GBy]AOL  L HF I HHCHHHCHЄH) LH *ByH=A*NH蜄HH LE3HD$0HSHD$(H? HD$ HHoBHj LH XAQBH+HH%BL HH BLS HHi AHH L>E3HD$0HHD$(H~ HD$ HHAHHH~H' LH 3@_AHVHoH LE3HD$0H HD$(H HD$ gHHAHlLHHH8 H T@@HԂH H 4HH@H=HH@H虂H LH ?yH=hA KHeHH LE3HD$0HHD$(H HD$ vHH?H3 LH )t??HHH?L HHQ ?HH LE3HD$0HzHD$(Hf HD$ HH??HHHfH' LH u3> ?H>(HH>L HH >H>H _LhE3HD$0HHD$(H HD$ HH~>HHH谀Ha LH  >yH=Ai JH|LH H =y]AJH L L6 Hw HD$(H HD$ iHHuH=AIHHH=HH;LH 3:=s=HHHN=LiHH' /=L*HH r=HH <L5E3HD$0H!HD$(H  HD$ {HH<HHH H LH $g<yH=AgHH~HH[<LHHF <<LiHH <HH L4E3HD$0H@HD$(H, HD$ HH;HHH,~H LH C3;;H~HHHH9 u"L=MtII+H @H LH/LH;HH /LH;E3HIHHI?3He}IM}IE3B}E3H:HLH M::H}HHj:LHH}K:LHHN ,:H H rLE3HD$0HwHD$(Hc HD$ LH9HHHc|H4MH z9yH=2A EI/|HH LE3HD$0HHD$(H HD$ @LH>9H LH >9 9I{H H -LH8H'HH8I{H LH E388HZ{HH L E3HD$0HHD$(H HD$ kHHS8HPLH &i858HzH*H ,HH8HRLH7HzHMH 8yH=}AL1DIzzLH H 7y]ADH L  L4HuHD$0H HD$(H HD$ [LHuH=ACIHH7IyH-LH E3+76HyH H LE3HD$0HbHD$(HNHD$ HH6Hy LH 6p6H:yHH LE3HD$0HHD$(HHD$ KHH6H@LH I65HxHHHH9 u#L%Mt I$I+H H {LH)LHuH=YA!BHH K*HHuH=,AAE3LIHHI 3H xHwI3wE3H5H0LH 954HwHH4LhHH&4HH *LE3HD$0H?HD$(H+HD$ LHU4HHH+wHMH J4yH= A@IvLH3LHHd3LIH53H H ILE3HD$0H^HD$(HJHD$ HHW3LII$IvH*LH hE33#3H vHHHH9 u"H5HtHH+H \H LdHU 'HH2HH 'LH2E3LIHHH[ 3HuIiuHE3^u3HN2H4LH r202H-uHH1LHH1H}H LE3HD$0HHD$(HHD$ HH1HHHtHhLH 1yH=n A=HktUHH%1LHHB1LHH#0HH =LE3HD$0HHD$(HHD$ ,HH0HHHsHLH 31_0HsHH:0LEHHm0LHHN/HH oLE3HD$0HHD$(HHD$ WHH/HHHrHrLH C0yH=A4C<HrHNH pL0E3HD$0HlHD$(HXHD$ HH/HLH /.HDrHH f1$HH.HHH.H rHJLH (3a/.HqL ZLHHHD.HHH/.HqHLH .yH=hAp:HeqHHUH 3E3MHEDd$ HHu]Au;HJHHH-H/LH 5h.s-HpHpHH "HHuH=Aw9:LH oHnE3H<HD$0HcHD$(HOHD$ HH,HzLH -,H;p%HH,LHHi,LHHyJ,HH ]oLE3HD$0HHD$(HHD$ HH+HHHoHoLH 3,+HfoH?HHH9 u"L=MtII+H 7H )LHf LHL+HH 4 LH-+E3HIHHI3HnInIE3nE3H*HyLH +*Hrn\HH*L!HHIx*LHH*Y*HH nLUE3HD$0HHD$(HHD$ 3LH*HHHmHNMH +yH=AH7ImLHH *y]A7HL LKHHD$0H0HD$(H,HD$ rLHuH=A6IHH)IlHDLH E3B*(HlHH HH(HLH )(H}lH^HH E3IHH(3HNlHu A5HH uLE3HD$0HHD$(HHD$ H8HH'HLH 6)'HkHwH yL1E3HD$0HmHD$(HYHD$ ǼHHv'HLLH (X'HEkHHHH9 u#L%Mt I$I+H H LHDLHuH=A4HH HHuH=A34E3LIHHIc3HjHqjI3gjE3Hf&H<LH 'H&H5jHH#&LHH &LHHs%HH LhE3HD$0HHD$(HHD$ LH%HHHiHMH &yH=WA-3ITiLeHnH &y]A3L HH [~&y]Ag3HUHL LH%HD$@HHD$8HUHD$0HHD$(HHD$ LHuH=AL2IhHHi$IlhHLH E3%@$HChH$HH HLHE3H3HhHu A\1HJL LHHD$0HHD$(HHD$ HHHu A0HsLHu A0HpgHMH $yH=?A1I+LHH y]A{*LHwH Pjy]A~*L1HH #=y]A*L H]H y]Ai*LOHXH y]A<*L*H#H y]A*LHH oy]A)aHHu AH7HHH9 u"H5HtHH+H 蚺H yLHs^HHu AHH$LH$ $HH$HH$HH$HH$HH$HH$HCH$H,H$HH$HH$H_H$H8H$H1H$H"H$H H$HH$H L FHOH$HH$HH$HH$HHD$xHHD$pHHD$hHHD$`H#HD$XHHD$PHHD$HHHD$@H#HD$8HHD$0HcHD$(HwHD$ LHOH]III\3L|0HEHEIHMH EL=>\HH +LHLHHI\HEE3HEH$yHa\H*3H HE\HvLH .y A%H\HHHH9 }u"L=|MtII+H SH LSHD LHHILHI[HHPE3HPIHHIE3D3Hj[IR[E3HhHLH /IH[ HH$LHHLHHLHHLHHLHHzLHH[jLHH<KHuLH y Ay#HZ3nHHHHbHHJHKH2HHHcHHHnH[HVHcH>HLH H YLHEH ֻy]AI#HHH-LH HX"HHLwHHeweLHHfXFLaHH9'LHHLHHL HH2LHHsLHHLHHmmLHH`NLHHA/LHH"L3HHyLTHHL%HHkLHHDLHHuLHH6hVLHHI7LHH*LKHH L,HHL}HHLVHHLWHH}LHHFp^L!HHgQ?LHH82 LHHLHHLHHLHHLoHHLHH^xfHLH ?Yy AHBT,HHLHHWLHHLHHaHH ŕLE3HD$03HHD$(HyHD$ LHvHHI$HI$HfSH?MH 5OyH=4AI1SLH LHHn LIH LIHP HH tLE3HD$03H|HD$(HhHD$ ֣HHH LII$gRHLH 6E3M H=R'HH LHH LHH LHH\ HϿH LE3HD$03HHD$(HtHD$ LHI HHHtQHMH C]yH=BA! I?Q)LH LHH| LIH} HH LE3HD$03HHD$(HHD$ HHM LII$PH5LH cE3z HjPH{H LE3HD$03H$HD$(HHD$ ~HH HLHHHH  HOHH lLE3HD$03HHD$(HHD$  HH( HH詠H HCxL@ HHHH 6P H@O*HH LHH LhHHu L1HHٽV LHH@7 HӼH KLE3HD$03HlHD$(HXHD$ ƟLHH˷HI$HI$HENHvMH .yH=AINH9H bLLE3HD$03HʰHD$(HHD$ $LH;HYLH IMLHLPHHxLIHYLIH0:LIH1tLlIHULMIHcݻ6HH KLhE3HD$03HHD$(H{HD$ HHLII$zLHLH IE3`HPLHH LLE3HD$03H HD$(HHD$ dHHLHLH ׮-HKH"H #LLdE3HD$03HHD$(HHD$ HHH*LH hHrK-ǺHHLHHDLUHHۺ%L~HHiLWHH5JLHHHnȹ+L1HHw LHHLHH)kLHHLLHH-LHHqL߻HHURLȻHH.и3LHH/LHHLHHsLlHHڸTLݻHH5LHHlyLHH]ZL8HHָط;LHHL2HHLHHQ{LܺHHJ\LHH=LFHHLHHbLXHHλCLiHH$LrHHLHHѸLHHdLHHELHHԷ&LHHjLȸHHKLHHɵ,LHH` L۸HHL,HHzlLݸHHӶMLHH.LwHH=rLPHHSH LH Ѵ4HEH=AAB H=ABPH=vA*>AAdAUA:H=8A:A!AH=AAuAjA_ATAIA>H=ApAAH|H H=HD H=vAA H=YA!A H=<AH=*A H=A H=A Ak A-` AU A J A? A4 A) H=A[ A H=A H=xA Au Ap AK H=EAK A4 A) H=A) A H=A Ae H=A AH A= A2 A' AL A: H=A:C A  H=rA& A H=UA A A Ai Ac H=Ac H=AT A j A _ H=A h H=AV A0 A% H=A. A A A Aw AV H=ZAV A H==A A A A H= A Ao H=Ax H=Arf H=Ar H=AB H=A0 H=AG H=A H=oA H=]A H=KA/ H=9A H='A H=A H=A Ah A] H=Af A&@ H=AI A# H=Ai A AH=yAA H=gA/ AA H=?A  A H="A H=A H=A H=A H=Ah H=AH |H=A6 jA A H=A H=|Ar H=jAr 2H=XAl H=FAl Al Ad H=Ad A7 A xH=A H=A A IA >H=A A !H=A gH=A AH={A /H=iA 1H=WAZ H=EA H=3A H=!A H=A A tH=A }A WH=A A :A /Aw $Ab H=Ab KH=AX 9AM AA A As Ak H=<Ak A H=A H= AH=AH=AtH=AH=AyH=A>H=A,ADAAEH=nAEA>A:A4A.H=0A.A!AH=AAmH=AH=AdH=ARH=A@H=A.AAxH={Ax/H=iAuH=WAt H=EAPH=3AOH=!A+H=A*H=AH=AH=AH=A{H=AiH=AWAiH=Ai:H=tAiH=bAfH=PA_H=>A\H=,ARH=AQH=ANH=A*H=AH=A]H=A_H=A9AAAH={AXAQH=AH=tA9A#A AAAAuAjAx_H=Ax|AFBA>7H=A>TAAH=A,AAAH=ZAAH==AH=+AH=A\H=A2H=AH=AtqAUNAFAu>A_6A[.A3&A2A-A%A#AH=~HtH+u H:HtH.u H&MtImu IMtI/u IMtI,$u IHMHt H)uөHMHt H)u]kL)7u HAQHu HL)3uHA0D5H=AH=HHAH=~H=FtGH=\ttLH ALD9Hu$HHLHt H)u&~HH|:LD|$ EHIHfHLHt H)u}HH|HHMH3b^HİA_A^A]_^[]Hl$Ht$ WH0HA0IHHHtLLBHHt*H}t#MHl$ LHxHl$PHt$XH0_E3Hl$PHt$XH0_H$H\$H<u}LBHκ(xHHt:3H xHu.H+u H }H {H+LGPH ^w3:LLHHXH+HuH|HQLLXHHH\$HHl$PHt$XH0_H\$ UVWAVAWHl$HHaaH3HE'HrH3HEH]HHEHHEWH]MHLEMIpwHH@HHHt7Ht&HtHHG(HHEHG HHEHGHHEIFLt0\$@HELD$8E3HL$0LEHt$(I3HD$ "\$0HULD$(LHL$ LEIHHHHHH uHt$0HL VH?LHHhHHLIH NHL$(H yHD$ H rHHE7@)D`HHEH LcD;}-MMF9du J JHH)qґ;u0Dp@HIcHrHHtdHD5HcLI;~#HHHDAHHIAI;IHDdLWID$L3`E3HInHHt HD`('mHtH+u HpHtH/u HpL|$0Lt$8H|$@Hl$pHHA]A\^[H\$Hl$Ht$H|$ AVH Hj3HH~CLr@IHxHt HHpuHHpt;HHIH;|HHD*nHHH\$0Hl$8Ht$@H|$HH A^H nHH j3H\$WH0LQHHMA u3HH\$@H0_I=uE33HH\$@H0_I=uE3E33HH\$@H0_IuH^E3HH\$@H0_IuH{^HH\$@H0_IH\$@H0_$Hyu8y 3H\$@H0_HKHT$(3H|$(E3HD$ IH\$@H0_H\$ VH A|HA|Hلt.H mHH hHH\$HH ^H|$8Hy@HtQHHLt$@8HK@DHCHHtHC@H)u@nH/u H1nELt$@uH lH 'hAL3HDuUhC|HHH`HtSLBlHClMH }tyE3E33H|PH|$83H\$HH ^Åu"HkH9uC|H|$83H\$HH ^HH)uumHHH lH wgC|H|$8H\$HH ^@SWH8Hb3HHt$PHH\$XH9BuHT$X0HL$XH]xLt$0QLHufHt H=gHL$XGWHT$(E3IID$ 軍HD$XI.u IlHL$XHDLt$0Ht$PHt H)u\lÍCH8_[H\$WH 3HHAHHHI@HD$0HtHG@H)u lfHHT$09|LE3H\$0HH#HtH+u HkH\$8H _@VWAWH yxMHHu#HtH iH eH A__^H\$HHl$PLt$XxeHO Lw HHtHY(HtH[H:eHCHExLIFHLuxHHGINHHMx3IInLt$XHt:_eHHt,H@HHHtHhH)ujH+u HjHl$PH\$HI7xuHH A__^øH A__^H\$WH IHD$0LLD$0HHHI@IA҃uHD$0HH\$@H _HK@HCHHtHC@H)u0jHT$0E3LH]HL$0Ht H)ujH\$@H _H\$WH H3HIHtH{H)uiHK8HtH{8H)uiHK@H{HHtH{@H)uiHK HtH{ H)uyiHKhHtH{hH)u`iHKpHtH{pH)uGiHKPHtH{PH)u.iHKXHtH{XH)uiHK`HtH{`H)uhH\$83H _H\$H|$ UHl$HHcHHqDH%HUL'LxHEH"HEH&HEH!HEH$HEH$HEHp$HEH`'HEH*Eo EsyHMoH|$(HD$ pH]HCHHUwLLxHEwH+Eo EsHMoH|$(HD$ =pH]HkCH HUwLLxHEwH+Eo Es-HMoH|$(HD$ oHI]HCH HUwLLxHEwH+Eo Es>HMoH|$(HD$ oH\HBH HUwLLxHEwH+Eo EsHHMoH|$(HD$ >oH\HlBHxHUwLLxHEwH8)Eo Es^HMoH|$(HD$ nHb\HBH &HULLxHEHp"HEH$HEH8HEHX!HEHx,Eo EsHMoH|$(HD$ hnH[HAH%HULLxHEHHEH8)Eo@EsQ HMoH|$(HD$ nH[H6AH%HULLxHEHHEHh(Eo@Es HMoH|$(HD$ mH9[H@HHUL LxHEH'HEHEH,Eoa EsuHMoH|$(HD$ DmHZHr@H%HUL#LxHEHHEHHEHxHEH0HEHHEH #HEH HEH8'HEHx*Eo! EsHMoH|$(HD$ lH8ZH?H%HUwLLxHEwH+Eo! Es2HMoH|$(HD$ BlHYHp?H%HUL`$LxHEH0HEHHEHxHEH`'HEH"HEH,Eo Es\HMoH|$(HD$ kHgYH>H%HUL`LxHEH`HEHxHEH)Eoa EsHMoH|$(HD$ KkHYHy>H%HUwL"LxHEwH(,Eo! EsHMoH|$(HD$ jHXH$>H%HULLxHEH"HEH@)EoB EsHMoH|$(HD$ jH_XH=H%HULLxHEHHEHx(EoB EsHMoH|$(HD$ 6jHXHd=H%HUL$LxHEHHEHh,EoB EsHMoH|$(HD$ iHWH=H%HUL$LxHEHHEH+EoB EsHMoH|$(HD$ viHWWH<H%HULLxHEH"HEHHEH(Eob Es>HMoH|$(HD$ iHVH9<H%HULLxHEHHEHHEHHEH(Eo EsFHMoH|$(HD$ hHVH;Hh!HULH'LxHEH"HEH*EoA EsxHMoH|$(HD$ 5hH.VHc;H%HUL@%LxHEH%HEH@*EoB EsHMoH|$(HD$ gHUH;H%HULLxHEH%HEH*EoA EsHMoH|$(HD$ ugH~UH:H%HULLxHEH&HEHP+EoB EsHMoH|$(HD$ gH&UHC:H%HULLxHEH&HEH@+EoB EsHMoH|$(HD$ fHTH9H%HULLxHEH&HEH8+EoB EsHMoH|$(HD$ UfHvTH9H%HULLxHEH&HEHX+EoB Es HMoH|$(HD$ eHTH#9H%HULLxHEH&HEHH+EoB Es#HMoH|$(HD$ eHSH8H%HULLxHEH&HEH`+EoB Es9HMoH|$(HD$ 5eHnSHc8H%HUL $LHEH%HEHHEH0'HEHP,Eo EsHMoH|$(HD$ dHSH7H%HULH%LHEH#HEH,EoB EsHMoH|$(HD$ _dHRH7HXHULhLxHEH&HEH)EoB EsQHMoH|$(HD$ cHPRH-7H%HUL$LxHEH&HEHHEHEH+Eo EsXHMoH|$(HD$ cHQH6H%HUwL!LxHEwH)Eo! EsHMoH|$(HD$ ;cHQHi6H%HUwL`$LxHEwH0,Eo! EsHMoH|$(HD$ bHOQH6H%HUwLPLxHEwH+Eo! EsHMoH|$(HD$ bHQH5H%HULLxHEHHEH +EoB EsHMoH|$(HD$ 1bHPH_5H%HULLxHEH"HEH*EoB EsHMoH|$(HD$ aHRPH4H%HUL@%LxHEH%HEH8*EoB Es*HMoH|$(HD$ qaHOH4H%HULLxHEHHEH,EoB Es\HMoH|$(HD$ aHOH?4H%HULLxHEH"HEH*EoB Es_HMoH|$(HD$ `HJOH3H%HULLxHEHHEH+EoB EsfHMoH|$(HD$ Q`HNH3H%HUwL`LxHEwH(Eo! EsiHMoH|$(HD$ _HNH*3HhHULpLxHEH%HEH!HEH,Eoa EsxHMoH|$(HD$ _HBNH2H%HULLxHEH%HEH*EoA EsHMoH|$(HD$ 1_HMH_2H%HUL@%LxHEH%HEH*EoB EsHMoH|$(HD$ ^HMH1H%HULLxHEH"HEH"HEH&HEH*Eo EsHMoH|$(HD$ [^H$MH1H%HUL0#LxHEHH HEH8$HEH0&HEH8&HEH8HEHhHEHH"HEHH$HEH@ HEH HEH@'HEH+Eo EsHMoH|$(HD$ ]H^LH0H%HULLxHEHHEH$HEHHEHhHEHH HEH !HEHh%HEH(Eo Es!HMoH|$(HD$ \HKH0H%HULLxHEHHEH)EoB Es.HMoH|$(HD$ \HlKH/H%HUL $LHEH%HEHHEH0'HEHH,Eo EsHMoH|$(HD$ \HJHC/H%HULH%LHEH#HEHp(EoB EsHMoH|$(HD$ [HJH.HXHULxLxHEH`"HEH+EoB Es:HMoH|$(HD$ U[HNJH.HXHUL%LxHEH`"HEH+EoB Es>HMoH|$(HD$ ZHIH#.H%HUL0%LxHEH!HEH`'HEH+Eoc EsHMoH|$(HD$ ZHIH-H%HULpLxHEH'HEH HEHHEH )Eo EsHMoH|$(HD$ ZH%IHB-H%HUL`$LxHEHHEH"HEH+Eoa EsHMoH|$(HD$ YHHH,H%HUL@%LxHEH%HEH*EoB EsHMoH|$(HD$ IYHjHHw,H%HUL@%LxHEH%HEHh*EoB EsHMoH|$(HD$ XHHH,H%HUL"LxHEHHEHEH(HEHp"HEH,Eo EsHMoH|$(HD$ oXHGH+H%HULLxHEH"HEHh!HEH'HEH'HEH8HEH$HEH &HEH(Eo Es HMoH|$(HD$ WHGH*H%HULLxHEHHEHPHEH$HEHp$HEH,Eo Esk HMoH|$(HD$ LWHFHz*H%HULLxHEHHEH)EoB Ess HMoH|$(HD$ VH5FH*H%HUL@%LxHEH%HEH*EoB EsA HMoH|$(HD$ VHEH)H%HUL`$LxHEH"HEH0HEHHEHHEHEH ,Eo EsM HMoH|$(HD$ VH`EH5)H%HULLxHEH%HEHHEHHEHHEH'HEH*Eo EsX HMoH|$(HD$ {UHDH(H%HULLxHEHHEH@HEH%HEH+Eo Esb HMoH|$(HD$ UHnDH3(H%HUL!LxHEH!HEH)EoA Esw HMoH|$(HD$ THDH'H%HUL!LxHEH"HEHp%HEHHEHX HEHHEH(HEH HEH%HEH,Eo# Es HMoH|$(HD$ SHqCH&'H%HULp#LxHEH"HEH8,EoB Es HMoH|$(HD$ SHCH&H%HUL$LxHEHHEH)EoB Es HMoH|$(HD$ 8SHBHf&H%HUL$LxHEHHEH)EoB Es HMoH|$(HD$ RHiBH&H%HULLxHEH"HEH!HEHh!HEHHEHHEH#HEH%HEHh#HEHP$HEHHEHHEHHEHEH*Eo Es HMoH|$(HD$ QHAH)%H%HULLxHEHHEH(EoB EsZ HMoH|$(HD$ QHH"H%HULLxHEH"HEHHEH(Eob Esd HMoH|$(HD$ NH[>H!H%HULLxHEH"HEH(HEH !HEH)Eo Esl HMoH|$(HD$ NH=H:!H%HULLxHEHHEH$HEHh%HEH(Eo Esr HMoH|$(HD$ MH=H HXHUL!LxHEHh!HEH "HEH!HEH`,Eo Es HMoH|$(HD$ MH=HN H%HUL@%LxHEH%HEH+EoB EsH HMoH|$(HD$ LH<HHXHULhLxHEH&HEH8 HEH)Eob Esh HMoH|$(HD$ ULHV<HH%HULLxHEHHEH HEHp)Eob Es HMoH|$(HD$ KH;HH%HULLxHEH"HEH(!HEH#HEH !HEH+Eo Es HMoH|$(HD$ iKHz;HH%HULLxHEHHEH$HEHh%HEH(Eo Es HMoH|$(HD$ JH ;H!H%HUL@%LxHEH%HEH+EoB EsHMoH|$(HD$ JH:HHXHULhLxHEH&HEH8 HEH)Eob EsHMoH|$(HD$ (JHQ:HVH%HULLxHEHHEH HEH(Eob EsHMoH|$(HD$ IH9HH%HULLxHEH"HEH(!HEHHEH !HEH+Eo EsHMoH|$(HD$ HXHULhLxHEH&HEH'HEH)Eob EswHMoH|$(HD$ AH^2HH%HUL@%LxHEH%HEHH*EoB EsHMoH|$(HD$ EAH2HsH%HULLxHEH"HEHP!HEH'HEHP%HEH,Eo EsHMoH|$(HD$ @H1HHXHULhLxHEH&HEH'HEH'HEH)Eo EsHMoH|$(HD$ N@H1H|H%HUL@%LxHEH%HEHP*EoB EsHMoH|$(HD$ ?H0HH%HULLxHEH"HEHHEH HEH'HEHP%HEH,Eo Es HMoH|$(HD$ b?HC0HHXHULhLxHEH&HEH'HEH)Eob Es HMoH|$(HD$ >H/H%H%HUL@%LxHEH%HEH`*EoB EsTHMoH|$(HD$ >H/HH%HUwLLxHEwHH)Eo! EscHMoH|$(HD$ B>H;/HpH%HULLxHEHP#HEH!HEH'HEHp,Eo EsiHMoH|$(HD$ =H.HH%HULLxHEHHEH'HEHx)Eob EsHMoH|$(HD$ a=Hj.HH%HULLxHEH"HEH"HEHh!HEHx#HEHHEH"HEHh%HEH$HEH+Eo" EsHMoH|$(HD$ <H-HH%HULLxHEHHEHHEH&HEH'HEH@HEH0+Eo Es HMoH|$(HD$ (<HA-HVHXHUL(#LxHEHx'HEH%HEH'HEHp'HEH%HEH'HEHx+Eo Es:HMoH|$(HD$ ;H,HHXHULhLxHEH0HEH+EoAEsLHMoH|$(HD$ 1;HZ,H_H%HUL@%LxHEH%HEH(+EoB EsHMoH|$(HD$ :H,H H%HUwLx"LxHEwH+Eo! EsHMoH|$(HD$ |:H+H H%HUL$LxHEH"HEHP"HEH"HEH%HEH#HEHHEH@&HEH#HEH,Eo" EsHMoH|$(HD$ 9H+H H%HULLxHEH"HEHh!HEH#HEHP"HEH@&HEHp$HEH(HEH#HEH'HEH0*EoB EsHMoH|$(HD$ 9H`*HE H%HULLxHEHHEH$HEH(HEH*Eo EsHMoH|$(HD$ 8H)H H%HUL(LxHEHHEH"HEH"HEH#HEH'HEH,Eo Es)HMoH|$(HD$ 8Hn)HC H%HULLxHEHHEH"HEH#HEHHEH#HEHP)Eo Es4HMoH|$(HD$ 7H(H HXHULhLxHEH0HEHp+EoAEsKHMoH|$(HD$ )7H(HW H%HUL@%LxHEH%HEH *EoB EsHMoH|$(HD$ 6H:(H H%HULLxHEH"HEHHEHHEHh!HEH!HEH(*Eo EsHMoH|$(HD$ =6H'Hk H%HULLxHEHHEHHEHX)Eob EsHMoH|$(HD$ 5HS'H H%HUL@%LxHEH%HEH*EoB Es HMoH|$(HD$ r5H&HH%HULLxHEH"HEH$HEHHEH0"HEH8"HEHHEH$HEH &HEH)Eo" EsHMoH|$(HD$ 4HV&HH%HULLxHEHHEHHEH)Eob Es-HMoH|$(HD$ Z4H%HH%HUL0LxHEH(HEH HEH$HEH*Eo EsHMoH|$(HD$ 3H%HH%HUL LxHEH!HEH)EoA EsHMoH|$(HD$ 3H-%HH%HUL!LxHEH$HEH)EoA EsHMoH|$(HD$ $3H$HRH%HULLxHEH"HEHHEHxHEHh!HEH!HEH$HEH*Eo EsHMoH|$(HD$ 2HF$HHXHUL$LxHEH8HEHH!HEHX,Eob EsHMoH|$(HD$ "2H#HPH!HUL'LxHEHHEHHHEH!HEH(Eo EsHMoH|$(HD$ 1Hu#HHHULP'LxHEHHEHHEH(Eob Es!HMoH|$(HD$ A1H#HoH!HULLxHEH%HEH0 HEH"HEH(HEH,Eo Es:HMoH|$(HD$ 0H"HHXHUL&LxHEHHEH@,EoB EsUHMoH|$(HD$ `0HA"HHHUL`%LxHEH !HEH0HEH$HEH@HEHHEHHEH"HEH0!HEH@'HEHx$HEH HEH+Eo EsdHMoH|$(HD$ /H{!HH%HULX%LxHEH !HEH0HEH'HEH!HEHHEHHHEHHEHHEHHEH@'HEH,Eoc EsHMoH|$(HD$ .H HH"HUL$LxHEHh!HEHpHEH,Eoc Es*HMoH|$(HD$ d.H] HH"HUL$LxHEHh!HEH!HEH0HEH HEH(!HEHHEH+Eo EsBHMoH|$(HD$ -HHH#HUL#LHEH#HEH#HEH#HEH,Eo EsHMoH|$(HD$ W-H`HH#HUL#LHEH#HEH#HEH#HEH,Eo EsHMoH|$(HD$ ,HHtH/u HV$3H/u HC$L$I[I{(I]H\$Hl$Ht$WH0HAIHHDPHpAAAAtAtH "He3H 3MtIHHCHu HSLEL p3H A"H2HD$ MH 3MtIHu[HCHu3zLEL 3H !H2HD$ MH 3QMHHDMt7IIHt)LEL 2H !Hc2MH 73HHH\$@Hl$HHt$PH0_@SH HHH3IHCxH [H\$Hl$Ht$H|$ AVH0LIH Y?I"HHu 33Hx(LpHXHtHHppHD$`HtHHC HD$hH{@H{HHEHC`HkPH{XH{8HHD$pHtHHChH{xHHHHHANtdtXtJzt<t+H 3 H 1H H+u HT!H2H=H=?H=H=HH{0 HH\$@Hl$HHt$PH|$XH0A^@SH LYMHE3L#Ћ$I[<u5Is)H L 1MHE0H 3H [AEt&At3H [H HIMHH [HHIMHH [HH\$WH0LQHHY8L#M$E3Iz<u:Is.H L w0MH/H t3H\$@H0_AEtAt 3H\$@H0_H HIHIML\$ LHH\$@H0_@SH0MHL#LHIME3AHY$<u5Is)LL /H H.H 3H0[AMt0I{t)LL 1/H H.H z3H0[EtAu;H IIHMt2M@L .H HE.LT$ MH ,3H0[3HH0[H@SH0MHL#LHIME3AHY$<u5Is)LL .H H-H 3H0[AMt0I{t)LL 1.H H-H z3H0[EtAu@H HIIHIt2M@L -H H@-LT$ MH '3H0[HHH0[H@SH HHHHu H [H@HHHA HHH)uS3H [H\$WH LQ`HyhHYpHQ`LAhLIpMtI*u I HtH/u HHtH+u HH\$8H _H\$ UVWATAWH H.IIM3 HHtHI,$HLHuH\$hH A_A\_^]H )Lt$XLHHHLl$P&LHIHfHHDHLIItHHHtHtHHHHxH)uHtELIIWHHt]HH;t-H.u HMcD$HHHQy@Ht9(H(u3H{(HHMcD$HVQyH+u HS3I.Ll$Pu I=I/Lt$Xu I)HH\$hH A_A\_^]@SH A|HHD$0A|tH HL1H 3H [HLD$0E3HD$0C|H [H\$UVWH 3HHHp`HH(u'HHH'LL$XHLD$HHT$POVHL$PHt H)u)HL$XHt H)ut L*H*L*LEH HL&H HHu#HL$HHt:H)u4H\$@H _^]H%HT$HHH KHH H\$@H _^]H\$ WH HBIt,;HHuxHuHHHH\$HH _YHHl$0%H HHHH`H;t8Ht!LBAt\$e&uHl$03H\$HH _HM`3H}pHt$@HuhHE`HEhHEpHt H)uHtH.u HHt$@HtH/u HrHHHl$0H\$HH _H\$WH HHH a:HHu(NHuH H#LH wHH\$0H _H\$Hl$Ht$WH0HHEHAH;H;u@H¹H?EDtHHGHÃ|$`t H;GHDHhpHphHt?H}t8HHHt|LEHHAH+Hu H/HHH~EtFHyAHHt9HxHHHFHH H u3yHFHHeHùH?EDtHHOH˃|$`t.H;Or(HHHu3HHMHGHHH\$@Hl$HHt$PH0_@SH H)HHHuH [3H|$8H HHu""HuH H')H H+u HHH|$8H [H(HBu!H mH"H H(7HHuHH(H(ubH(H8D$`D$(H]HD$ r7H8@SUWH HAHHLMtAHHH \H HHHBHHt~H3HHt$H-HHtHHLt$PHLHtHHI.u IYH.Lt$Pu HEH/Ht$Hu H1HuH H%LH HH _][H\$Hl$Ht$ ATAVAWHPLIH(ILLH IH.HHHHHH΅uRHUH|$pH8IH[L$Ht(H\$0LHl$(HL|$  H|$pfHQHHtUI.u I"H.u H3[HIHL$H'LL|$ HL I.u IHtH.u HL\$PI[(Ik0Is8IA_A^A\H\$Hl$Ht$WHPHIIIHHHH|"H H%LLH  LH(L@ MtH$3HHHHEL;LLKH;s)H H%HD$(LLH|$ H D s$u7L;H H&HD$0LLD$(LH|$ H  1uRL;vMLD$0LH|$(LB%3Ht$ 3 y&H+u HP3H\$`Hl$hHt$pHP_HH\$Ht$WH H%HH 8Hx3HHu;" Hu0H HoLH K H=3R1xkH=~3Hu71xPHh"H H3HHu; Hu0H HLH  H=(30H=3Hu0H(H2Hu0 H&H2Huu0N H(H2Hu N0R jH hH2Hu *0p FH$DH}2Hu 0 "H& Ha2Hu-/ H1H/H\$0Ht$8H _HhHt$8HHHHGHH HH+H8H@#H@HH`Hh'HhH HHp HH HH'H3H\$0H _H(Lu HS HHu.FLY*HM% HxHL0*H<HWHLHSH6Hu?.H)LLH Hu .L HtfHHu-J YLL H#2HHu-%L HHHup-L HhH[Hu<-H H (LHHu -LHdHHu,+WL(HK H \(nHgHLg(H H A(CHDHL<(H H (H!HH HWHu(,QH'H2Hu + L z Lf H'QHHu + GH: 'HHu +U3H(+ z+(H-Ht+H(H\$Hl$ VWAUAVAW0H+LH#HL$`AH ! HHH !HHvHH HH^AJH ALHuH.]H OE3IHI.Lu I H.u H H+u H H/u H M3Dfl`IO I΋E3H$hHHrH$hH$hHaIp LHH;|\`IO I΋LIp HHH3|I/u IHDIp H0HH3|fo2Ht$8fo 2H$hfD$05<D$ I-f$lfo2L|$HHONDŽ$hHTHD$XH$Lt$ D$8L+L$HsIsHMsHcI8HHtlHHIH|3oI/uLIAH hLAH$H ;HtH+u HH/u H&(H)H (L$0I[0IkHIA_A^A]_^LH;}I;txHXHt/LR3M~!HJ@HI;tQI;tLHHI;|3HHI;t-HuHL;tHI;t HuL;t3øH;tMLXMt#MA3M~IIH9t-HHI;|3HH;tHu3H;ø@VH lHHH`HHHu H ^HN`3H\$8H^pH|$@H~hHFhHF`HFpHt H)uHtH/u HH|$@HtH+u HH\$83H ^H\$UVWATAUAVAWHHPH33H]PLLHuXH]HH9BH E3HHUE3HUI<LHH@H;et)H;dt I)I/Hu IE3kIE3E/HRL;H HcH IHE3IAIILHuH H IֹvHHH E3HH/Hu HEHaHIH+u H CLMHLEHUHTHEHHEH]H]PHHuHuXHGH;u_HMHH;OHAHEHHLHHAE3D$ LEXHUP H]PHuXH;u(HMHH;O}BHAHEHHGH HHOH>HHy+uFH/u H3'LAIHYHHq HH)uH]PHuXHI)t)H ~LLHmH  ALHIDH+u HsH.u HdEOoMxjH; ]uH HH THH H I}%IHL xLDH-oAH@ZH/u HH$HPA_A^A]A\_^]@UVAVH HLHHHHu H A^^]HHH\$@H|$HH~gH;HD$XHLD$PIOHT$XIHHOE3{t3HT$PHzu9E3LD$PHT$XHHuIHXH\$@H|$HH A^^]H LLL$PHH "øH A^^]HL$SWATAUAWHPH3HPHH$HtHHuLcHl$HHt$@Lt$8J LAHHCH$I;VHK H$H HHHH3HLHu"HuH hHH H+u HMH3MIHuqHMHHHHu3D3HaHHu"cHuH HhH ?H/u HIIDI;tHtpHHI;hH$H$AHIcH$H;$I3Lt$8Ht$@Hl$HHPA_A]A\_[L$HL$IcMMLH $M@MIH ILILHL;tuIXHt$L@3M~@HfH9tSHHI;|'IMtDHH;t,HuH;tL; u IJH%IH%IR(IJH%H\$ UVWATAUAVAWH0Hi3E3Hl$pLHHqHHt$xL>IG HIH H;uAE3LHt#LHH ZHHHH`H;t*HLBAt$- tbHM`3H}hHupHE`HEhHEpHt H)u~HtH/u HjHtH.u HVHt$xHHl$pMu1_HJHIH)2E3HD$ LLl$(HT$(I I.Hu IHHGHu?IHHE3M~"ffKTHHJIHM;|HSLLH}yH/u HNHIHt$xHL;Ht^HIH+Hu HHEH HdH H/u HHtH+u H3IEIH$H0A_A^A]A\_^]@SVAUAVAWHpH|H3HD$HL$E3MHAL|$(HT$0LD$8LL$@D9$t;H I*HHtHH H eGD9$HtHCD9Hl$hIH|$`Ld$XMfM~CI@IHxHt HH uHHtLHHII;|HLLD=ILd$XH|$`Hl$hHtH.u HaMu3oH HH aMHT$0IIIBH"MHT$0IH#HHtH.u HHHL$HH3lHpA_A^A]^[@SUVWATAVAWHPHH3HD$@L$MH$MH$HHt`H HHtAMHD$(ILt$0HT$0H\$8H[H/HuH)IHulFHHt^H'LHx8H MHx!HtHLHxHH+u H3HL$@H31HPA_A^A\_^][LD$HL$SUVWAUAVAWHHHH3MHD=LHL$Ht%IH+fDHHHHGHDHuH$MILHH$HtRHG3H4EHHwLHHZHL3HLI LIILˋ$DL$%H$DÉD$xH$Ll$pLl$hHD$`LT$XLT$PLd$HLT$@LT$8 Ht$0L$(AAAAl$ HMtI.u II/L$u IHHĐA_A^A]_^][H\$WH HHHuHuHHOHtClHHt"H HH iH/u HBHH\$0H _H H <HH\$0H _HH\$0H _@SH I)HuHt3H [HHH [HI`H;uHu3HBH\$Hl$Ht$H|$ AVH LrE3HMHrHH;IHM;|H=H3HH;HCS@CHByl@t`HXHt+L@3M HH9t2HHI;|3HHH;tHuH;LZ3MHBH;tHHI;|E3LRfI HA}n@tbH;tHXHt*L@3M~FH@H9vHHI;|'HfDHH;OHuH;AIIM;r3HH=u-HHI;l3H\$0Hl$8Ht$@H|$HH A^øH(H;u H(HA@HBDE}@tqHXHt0L@E3AM~NHH9t?HHI;|AH(@HH;tHuE3H;AAH(AAH(AH|$ E3HzEH\$0Ht$8HHZHH;IHL;|H5lMِHHBD9}f@tZH;tgHXHt&LPMM~=HH9tCIHM;|#HffHH;tHuH;tIHL;zAH|$ AHt$8H\$0H(H(H%H\$WH IHH;I;HA@tyHtH\$0H _HXHt1LA3M~xHH99tjHHI;|H\$0H _@HH;tCHu3H;=H\$0H _*uHHu 3H\$0H _øH\$0H _H\$UVWHH0LY`3HYhHLQpHL]0H] LU8HA`HAhHApMuOMtI*u IlH] HtH+u HTH]HHSH3H\$XH0_^]HHL;HuH"HHOHKH;u H[HH-t@H{| H[HHHHHM H)uHtILU8L]0 u6MtI*u IL]0I+IIt3LE8HU HM0HHHE HHH;tyuoHE0HO`HwhH_pHG`HE HGhHE8HGpHt H)uHtH.u HHtH+u HH\$XH0_^]HM8Ht H)uHM0H)uHE HXHHHM H)uH3H\$XH0_^]H(H]H9AuHQHtmHBHtPHHw;LA;IAIHH H(ËAIHH HH(H(H%AHy HH(3HH(H\$8=HHuH\$8HH(HH|$ VH+Hu HH\$8HH|$ H(f::v::::d:::H\$Ht$WH0HHHEt H;Lt:H+H9Ct-H<t2HHtmHH+u H3H\$HHt$PH0_HCH LHH HtLL$ HL XL+LFH#HH+u HH\$HHt$PH0_HL$HT$LD$LL$ H(ZLD$8LHt53H9T$0~,IIHM@HIAH HH;T$0|IH(H(HyuIH(H%wHt HHHHHH(HALI;uiLIMuHHIHIHHuAMOAH%Ht IB`LIQAHH MHIcHH%H;XufAnXAH%HBEHEHH(HAuPH\$8HHuH\$8H(HH|$ H+u HH\$8H|$ H(HQHt&HtHt H(H%,AHyH(3H(H(HAuTH\$8"HHuH\$8HH(HH|$ H+Hu HH\$8HH|$ H(HQHtmHtVHtPHHw;LRA?IAIHH HH(ËAIHH H(H(H%cAHy HH(3HH(Ð>>>>>>>>>H(LH;u H(HAH;7HAHHHHEu3H‹H(yEHyEAEAEt=3HuJA?E9AE9Q u-H(Hy3H(Hu A?E9At3ҋH(H;u"AfAnf.zuغH(AHH( H(LH;u3H(HAH;:HAHHHHEu3H‹H(yEHyEAEAEt@Hu3A?E9AʋE9Q tH(HyH(HuA?E9Au3ҋH(H;uAfAnf.zu3ҋH(AHH( LH;u HaHHAH;:uHAHHHHEuHtH)Hy HyAHxAt#Hu3A?E9AA9Q HuA?E9AuHHH;u)AfAnf.xrHHAH%@SLoIcL9YLQMuHH[IHIHHu9DAAMDOAA3ҋD+A3E#+[H%HtIC`L[IDIAIL MIIHH3HHL+IH3H?MH#H+[H%kHEHE9[HHBL}I;uHLJMuHHIHIHHuBMOBHcIcHH%IB`L@IH;IufAnYBH%HCEHEHHALI;uHLIMuHHIHIHHuAMOAHcIcHH%kIB`L@IH;ufAnYAH%bHEHEHLaL9QLIMuHHIHIHHu.AMOAA3A3#AH%Ht IB`L@IAIHH MHMcHI3HI3H?HH#IHH%xHEHEVHHALH H;uvMJMu AAH%IHIHHuAJMAOJA+H%HtHA`IL@IAJABHH MHIcH+H%H;(uABfAn\H%HEIHEgHHALI;uJLIIHIHHu(AfAnMOAfn^H%\IB`LIH;uAfAn^H%,HEHEHH\$WH HA3tHHH\$8H _H@`HHHHHH@H;L@t1H MLH u%HH\$8H _H EHH H+u H^HH\$8H _rHuH HH NHH\$8H _H\$Hl$Ht$WH HAIHHHHuSH t3>LHHH:Hu"HuH kHlH HH\$0Hl$8Ht$@H _H\$Ht$WH HAH@ Hpt3HYH t3H\$0Ht$8H _HHHHu"AHuH HH Ht$8HH\$0H _H\$Hl$H|$AVH HIIILLH#u=HLHHI-tZIC@tP3IHHu2LHcHItIC@t IIiICH;4u0tH@8MMtE3LIIA+HuHLILLIIH\$0Hl$8H|$@H A^HALMtIH%H(HALL;uAE3H(H%DHt$HMtAwHHHl$@@H HHHH`H;t*HLBAts|tgHM`3H\$8H]pH|$ H}hHEhHE`HEpHt H)uHtH/u HH|$ HtH+u HH\$8Hl$@HHt$HH(H\$VH@HHHILApHAhMtM@MtHH\$`H@^IH|$XHHxHHHuG.Ht@tA@t3I6IuIE3LLt$ HIHI HHH\$@Ht$HH|$PLt$XH0A_H\$Hl$Ht$ WH 3AHHH;HH9AH9FG uH0F uHLWL;VHGHNH;tHt HO DDF AAAD;0AH t@ADHHOHA t A@IDHHVHAu DAu DDA;u|It{EMuieLI;uGI;u;DHHHHu*HbH+u H1 ËH\$8Hl$@Ht$HH _HT$HL$SVWAUAVH`L$3MH\$8IMvLt$@K HGHHu3H`A^A]_^[L|$PLMtWIr0J HQHGHHH;wH;sLHH贿!H+J II+HHHIHuILHuHL|$P3H`A^A]_^[H$Ld$XN$I+H\$0H$LIfDLL$ HL$HT$0uH$HHD$ Ht%H$HA#IL>HD$ HH뢅H$uH 7HH H|$8H$MMH$HI/Lt$@u I$M~I H)uHI;|HvLd$XHL|$PH`A^A]_^[HHLL 3H HLDH H%Ht$WH I@ML HHI;LXMt-MB3M~L>L?Ht H)uHMHt H)uHM Ht H)uH\$hHt$pH|$xH@A_A^]H\$Ht$WH IHLAHHH j̽L ]MQLHHtHH\$0Ht$8H _EH 6HvHHu% HuH HmLH IHt$8HH\$0H _H\$Ht$WH HHHt6HH~H+Hu HHtHH\$8Ht$@H _LGHH xڼHHtHH\$8Ht$@H _aH RHHHu%<HuH HLH eHt$@HH\$8H _H\$Hl$ VWAVH)|$`HH3HD$XLJ<3H 3 #Ȁ Dͅt,fK3HÀ 3 #Ѐ DՅuLGI;s/@A3Ҁ 3 #Ѐ DՅt HII;r=HH+)t$pHHHf.zWf.33 H<_tH3HH;|H;uE3HT$ H(H(}3LHT$0HHHtLE3HT$ HL$0b(HJHHtLHHHHHuZIHtH(xu H((t$pHL$XH3蒟L$I[0Ik8(|$`IA^_^E3HT$ ǼH(CH9|$ tf.zu޸Ht(H\$Hl$Ht$H|$ 3IHDDDM~OFAeDA_ ȋAEDA. HA_IHЋA#DD L;|H\$E Hl$H|$ @2HEHt$HDE3A-AEAA+L AI+M@ L2HAjAjIHABA,AAB,NADA-u uTHABA,NEAB,FAD#HuEtnA-u HuPABA,IABEE,NAB,IA#ȨABAE,TABA,YD#ɨu EWÐj-jij@SH0HAHH;D)t$ uMHIHt&HAHtH׶CHy3fn((t$ H0[H%жH;1uCA uu 5bC @HtHT$@PLD$@HH9^7H;ݹu LAHQ H;uNLAMtHQ(H(f.5bXRHC3(t$ H0[(t$ H0[H%H\$H|$H|$(DLѻL;gAuC AuC JC 3A_3. 3_Lw#uIL;~uAIH\$H|$H\$3H|$H\$Ht$WE3ۋHAÃu%BEӃ-Aƒ+L M+K Fu!BAI˃-+H JWB-I+H JL+ɃHl$L҃@2L_ApApII uL:AӀa€AAL:5uLWAfafABLWLaAƒABLA AÃnNAA Å-uTHl$H\$Ht$ _#Hl$H\$Ht$ _ITEÃu|:nAL:A|:N0uf|WnBLWAf|WN|nBLA|NAAD AÃf@ŃF A#Iu?-uHl$H\$Ht$ _]Hl$H\$Ht$ _IAEÃuoL:AӀi€IAL: A#A|:nAA|:ND AD#AA|:iA|:I A#EA|:tAA|:TutLWAfifIBLW A#fB|WnAfB|WND AD#AfB|W ifB|W I A#EfB|W tAfB|W ThL iAƒIBL A#B|nAB|ND AD#AB|iB|I A#EB|tAB|TAD AD#ƒyYAA A7WHl$H\$Ht$ _Hl$H\$Ht$ _pnnmpH\$Hl$Ht$ WH0HIHHfuWHwHXH't:HDLLHD$ HHHuH(uɵH\$HHl$PHt$XH0_H\$UVWAVAWHPHH3HD$@AXHnHH=tHEL=3AAXxDDEHL$>DADAdtoAot6AxAHəDЃ+AHHcD:DyA™?DЃ?+AHHHB86<QAkdD+EAEHHDA CHB8 6DfAEHL+IAI@@ t H;~ HL-H;HOHu  H@l$ HDHL$@H3觔H$HPA_A^_^]H\$Hl$ VWATAVAWH`HӘH3HD$PEHAXH5EL\$JHEAx3HAXLLɋEEI ףp= ףLAdttAot8AxIIHHLȃH+IHHc 0A }IH?HLȃ?H+IHI HB6>IIIHHH?HkdD+AAHILʃ  HB 6fAM6HcLD$JLM+II IHA t H;~ ILA-H;HOHu A DDt$ I2HL$PH3L\$`I[@IkHIA_A^A\_^H(HAH Ht$~H HtHHt H@H(3H(H\$Ht$H|$ UATAUAVAWHH`H plHH`L5HHEH}I HHEL%HE3HEIHLmHEM~LLd$ LE8IHIu HHE8H3IHe3ILxWD8hLpIEL9/uH+u HH `pHHH5HXH HEHALmHEH}LL~R@ffMLd$ LE8IH艜u HHE8H 3IH襞3HLx藞D8hHpLEL9/uH+u H7H oҬHHH=HH HELmHuLLHfMLd$ LE8IHٛu HHE8H\3IH3HLxD8hHxLEL9.uH+u HH m"HHH=HH HELmHuLL[fMLd$ LE8IH)u HHE8H3IHE3HLx7D8hHxLEL9.uH+u H׮H xmrHHfH=HPH HELmHuLLfDMLd$ LE8IHyu HHE8H3IH蕜3HLx臜D8hHxLEL9.uH+u H'H mªHHH=HH HEHLmHELuHLfffLLd$ LE8IH蹙u IHE8Hx@3IIٛ3HLx˛D8hHxHEM9.uH+u Hk3H+u HXL\$`I[0Is@I{HIA_A^A]A\]H\$Hl$VWAVH@HH jHH L5jHI'HHHH|&H LiMHfH %HH H@(HtH;HLHHs1H [LiHT$(MH=HD$ H ˦8HvKHL$0L LiHD$(L3Lt$ 3}yH.u HHG0 Hw0H+u HH iHH HhHHHHH|'H qL hLhH<H PHH H@(HtH;HLHH sOHL$(L hH 1LnhHHD$ H H.u H*HG85 HFhHw8HAHHHH|'H L hLgH|H ;SHH H@(HtH;HLHHH sOHL$(L gH nLgHXHD$ H H H.u HgHG@rHgHw@H~HHHH|'H L _gL4gHH xSHH H@(HtH;HLHH0sOHL$(L gH LfHHD$ 0H #H.u HHGHHfHwHHHHHH|'H +L fLqfHH PHH H@(HtH;HLHHXsOHL$(L jfH L(fHռHD$ XH cH.u HHGPD$(L fAHl$ HeHwPHHGXHD$(LeAHl$ HeHHG`HD$(LeAHl$ HbeH讕HGhHID$(LeAHl$ H,eHxHGpHD$(LleAHl$ HdHBHGxHD$(LFeAHl$ HdH HHD$(LeAHl$ HdHӔHHkD$(LdAHl$ HNdH蚔HH2D$(LdAHl$ HdHaHHD$(LdAHl$ HcH(HHHudHЦHHHH|'H @L EdLcH H ʠSHH H@(HtH;HLHHsRHL$(L dH L:cHHD$ H uH.u HHLJHH+u HХH ckHHD$(LcA Hl$ HvcHHHD$(LccA(Hl$ H=cHŒHH]D$(LcA0Hl$ HcH茒HH$D$(LbA(Hl$ HbHSHHD$(LbAHl$ HbHHHH+u HH b&HHD$(LbA0Hl$ HibH蹑HHQH+u H*H kbŠHH$D$(LjbAXHl$ H8bHXHHH萍HaHH+u HH "bLHHD$(L!bAXHl$ HaHߐHHwHHH_H+u H8H aӟHH2D$(LaA(Hl$ HaHfHHH螌HHH+u HH aZHHD$(LaA8Hl$ H]aHHHH+u H^H WaHHt\D$(LZaAHl$ H(aH萏HHt,H̋HHtH+u H3HtH+u H١H\$`Hl$pH@A^_^H\$WH HH,6H E3 HHHQ5H uH H9u HHLH'H Pz 5H94H?HH4H H6LiHH/u HH4H HHHH uH@H9uHLHH =4HHgHH$HMGHH3H 4H8LHH/u HH3H HHHH uHkH9uHHtH@p3H \3LH.H 93H_HH3H LH9LHH/u H&H2H 1H:HHH uHH9uHLHH Ɖ2HِHHcHTHH HH/2H tHm9LԞHH/u HNH2H aHjHHH uHH9uHHH1HL1LHFH y1HҏHHdHMHH HH(1H mH8L͝H H/u HGH 1H ZHkHH H uHH9uHHH y0H E0L HH r0HˎHHeHFHH yHH!0H fH8LƜH(H/u H@H(/H SHlHH(H uHH9uHHH(r/H(>/L(HH ۛk/HčHHfH?HH rHH/H _H7LH0H/u H9H0.H LHmHH0H uHH9uHHH0k.H07.L0HH Ԛd.HHHgH8HH kHH.H XHq7LH8H/u H2H8-H EHnHH8H uHH9uHHH8d-H80-L8HH ͙]-HHHhH1HH dHH -H QH 7LH@H/u H+H@,H >HoHH@H uHH9uHHH@],H@)y,L@H۟H ƘV,H|HH$,H iH7LɘHHH/u HCHH+H FHHHHH uHH9uHLHHŸH  +HH/+HډHHHrHѺHiH˺HH-+H rHK9LҗHPH/u HLHP+H WHHHPH uHH9uHHHP~*HPJ*LPHH w*HHHH~H=ŹHƹHDHHQDHTHH)H AHJ9LHXH/u HHX)H vHwHHXH uHxH9uHHHXM})HXi)LXHH F)HHظHiHMH[H?HH(H ,He;LH`H/u HH`(H aHjHH`H uHcH9uHHH`8h(H`T(L`HFH w1(HWHH'H DH]<LHhH/u HHh'H )HHHhH uH{H9uHLhHݜH ~x'HɅHHH6HHH*'H o~H=LϓHpH/u HIHp'H THHHpH uHH9uHHHp{&HpG&LpHiH }t&H5HHHHH {HH#&H h}H1=LȒHxH/u HBHx%H HHHxH uHH9uHHHxt%Hx@%LxHH |ݑm%H.HHHHH tHH%H a|H<LHH/u H;H$H HHHH uHH9uHHHm$H9$LHsH {֐f$H'H HHHH mHH$H Z{H<LHH/u H4H#H HHHH uHH9uHHHf#H2#LH<H zϏ_#H H!HHHH fHH#H SzHL<LHH/u H-H"H HHHH uHH9uHHH_"H+{"LH-H yȎX"HH"HHrHbHH "H OyH(=LHH/u H)H!H 4HŀHHH uHH9uHHH[!H'w!LH9H xčT!H=H&HHHH [HH!H HxH<LHH/u H"H H HHHH uHH9uHHHT H p LHBH wM H6H'HHHH THHH AwH:<LHH/u HHH ~H~HHH uHxH9uHH HM}HiLH3H vFH/~H(HHHH MHHH :vH3<LHH/u HHH }H}HHH uHqH9uHH HFvHbLHH u?H(}H)HHHH FHHH 3uH;LHH/u H HH |H|HHH uHjH9uHH H?oH [LH H ~t8H{H*HHqHBHHH /tH<LHH/u H HH {H{HHH uHfH9uHHH;kHWLHюH zs4HE{H.HHHH ;HHH (sH!<LHH/u HHH zHzHHH uH_H9uHHH4dHPLHH sr-H>zH/HHHH 4HHH !rH;LHH/u HHH yHyHHH uHXH9uHHH-]HILHӈH lq&H7yH0HHHH -HHH qH3;LzHH/u HHH xHxHHH uHQH9uHHH&VHBLHH epH0xH1HHHH &HHH pH:LsHH/u HHH wHwHHH uHJH9uHHHOH;LHH ^oHivH2HH??H"HHH oH:LoHH/u HHH uHvHHH uHFH9uHHHKH7LHiH ZnHMvH6HHHH ~HHH nHQ:LhHH/u HHH uHuHHH uH?H9uHHHDH0LHZH Sm} HFuH7HHHH }HHH mH9LaHH/u HہHH tHtHHH uH8H9uHHH =Hـ)LHKH LlvH?tH8HHHH  |HHH kHC9LZHH/u HԀHH sHsHHH uH1H9uHHH6H"LHH EkoH8sH9H¡HHH !{HHH jH8LSHH/u HHH rHrHHH uH*H9uHHH/H~LHH >jhHIqH:HàHpH zHHH iHx9LOHH/u H~HH pHqHHH uH&H9uHHH+H}LHH :id~HUqH>HǟHHH &xHHH hH9LH~HH/u H}H|H pHpHHH uH~H9uHH H$H|LHH 3h]}HNpH?HȞHHH 'wHHH gHJ9LA}H H/u H|H uH oHoHH H uH}H9uHH!H H { L HsH ,gV|H7nH@HɝH=zH&HH vHHH fH:L/|H(H/u H{H(cH mHnHH(H uH|H9uHHH(۬ H(zL(H)H fD{HmH>HH <H$uHHH eH:L+{H0H/u HzH0_H mHmHH0H uH{H9uHHH0׫H0y L0H-H e@z HlHBHÛHwfH(tHH H dH:L'zH8H/u HyH8[ H lHlHH8H uHyH9uHHH8Ӫ H8x L8HH dLvHXH/u HuHXH H gHhHHXH uHuH9uHH,HXHXtLXHvzH _)uHbgHSHԖHȕ6HH+jH, -oHHOH _H}>LtH`H/u HntH`(H fHgHH`H uHtH9uHHH`蠥H`lsL`HxH ^ tHJfHSHH6nHHHH ^HV>LsHhH/u HgsHh!H eHfHHhH uHsH9uHHHh虤HherLhHwH ]sH3eH\HH?mHHAH ]H>LrHpH/u H`rHpH dHeHHpH uHrH9uHHHp蒣Hp^qLpHvH \qHLeHeHHHlHH:H \H>LqHxH/u HYqHxH dHdHHxH uHqH9uHHHx苢HxWpLxHuH [pHEdHnHHQkHH3H x[H=LpHH/u HRpH H cHcHHH uHpH9uHHH脡HPoLHtH Zo}H ZH7=E3pHHVH uH pH9uHH fZH_=E3oHHH uH oH9uHH ZH=E3~oHHH uH oH9uHH YH>E36oHH~H uH =oH9uHH YHG>E3nHH6H uH nH9uHH FYH>E3nHHH uH nH9uHH XH>E3^nHHH uH enH9uHH XH??E3nHH^H uH nH9uHH nXH?E3mHHH uH mH9uHH &XH?E3mHHH uH mH9uHH WHW@E3>mHHH uH EmH9uHH WH@E3lHHtBH uH mH9uH3H\$8H _HtH/u H8lH\$8H _H\$Ht$H|$ UATAUAVAWHl$HH %+hHHH5LH -YH HMH&YE3H $YHEHML}Lv%LmHL%LLd$ LIHW3IIY3HLpYD8hHpIHEHuH+u HAkH *gHHEH5qHXH HELmL}HLvLLd$ LIHV3IIY3HLpYD8hHpIHEHuH+u HjH D)>gHHL5ہH ,XHMH9XH *XHEHML}H WLm/HMI H WIHMH WHMH WHMIvH WHMH WHM'@fLLd$ LHHU3HIX3IHpXD8hLpIIEHuH+u HiH t(>fHHH=H LWH HMHEWLmH BWHEHML}LwZHLLd$ LIH9UxC3IIgW3HLpYWD8hHxIHEHuH+u Hh3H+u HhL$I[0Is@I{HIA_A^A]A\]@WH LIIIHt`H;PuZI H\$03Ht1~HahHtHHtH@H;ËH\$0H _HH;ËH\$0H _3H _H\$Hl$Ht$ WATAUAVAWH Hv3DDDHgLHtHuH egI;H{H egLHHOHzHHHtgHHI;HzH aeKgLHHOHlzHHHtKgLHI;tHKzH#H4zH\LHH zLH~x8HzHaDuHgAAE`HuH 0eHyLGH `MtI.u ISfHtHmu H>fMtI,$u I)fHtH.u HfMtI/u IfHl$`H\$PHt$hH A_A^A]A\_M;G_H8H#zH+HHu_H zHHyHLHtiHyLHHyH`DuHeHAeAEHyeHy-_HjHSeH\$WH HHdu7HHtAHHd؅y ^3HtH/u HdH\$0H _H\$Hl$HT$VWAUAVAWH0EMH3DaHH9$tH+u H dHHGHHLHuHHHHuIEp]u|H bH$HL +pLHtLDH ^JEHHt.H(u HcH YbHtAH ] \tqH/u HQcMtI.u I=cHtH.u H)c$tHtH+u H cH\$`Hl$pH0A_A^A]_^H/u HbHD$hL03IuH\$E3DZHEExIcHD;D~H\$E~-AA+yF IcHD;D}E~$EQE;|IcAIHD;DANɋH\$H\$AH(H5KLHѹLAHuL Ԅ3A H p3H(HUVWATAUH`3HpDHp Hp[H_H$HHxfDH9HtH;u HIHuLt$PL|$HHtH;tHHLwI[L HLLH H\$X]LHu7H _H {[][H ]LHHIu4Ht$~H1 H&XHtHHtH@3H;!HNHHtLpE3HHHNlHtXHHuH-zSL{HL;=WuHkLVHtHM;PHEH UH9HHNHHtH@H HLHt-~HH7WHH-HtH HtHI3H L;tH HH+u HVHHT$8HpgIH 7iME3HD$@H|$8THHtH/u HVHH-xH3L;=ULuHsLsHIH) u H^V3HHt$(HH|$0H?HT$(HAL+E3L IHwHHtH.u HVI.u IVHu jH+u HUHHdlHHuOHt -H+u HUHnHT$HHE3HfMH gHD$PH|$H_SHHtH/u H`UHuH-w3H;QT@3H;H_H MBtH-d3E3HHHF>Hu8;HuH w@HxMH ;HuH-cFH+u HAH/u HsAHFHHSLMtAvAHHu H6E3H aHHuH-KcH/u HAH+u H@HFHHESLMtA@HHu vHM6E3H`HHuH-bIH+u H@H/u Hv@HH;LHu[H-b3 H H+u H<@HtH/u H(@MI.I @HhOHT$8H TRHLHt$8E3HD$@Lt$H=H.Hu H?I.u I?Hu \H+u H?H=1HT$PE3H|$PLL|$XHt$`HH SJ=H/Hu HP?Hu$ H-oaLH D33H+u H?H!=HHL$hH3L\$pI[@IkHIA_A^A\_^H\$Hl$Ht$WAVAWHpHHEHAH HuuHHHtAH@H9u4Ht$~H1 HS>HtHHtH@3H;!HNHHtLpE3HHH{RHt4>HHuH5-`L{HL;===uHkL(=HZHMh6HEH H9HHNHHtH@H HHt-~HHd=HHHtH HtHI3H L;tHHH+u H$=HHT$0HMIH dOME3HD$8H|$0:H/Hu H<HH5^H3L;=<LuHsLsHIH) u H<3HHt$ HH|$(H?HT$ HAL+E3L Iz]HHtH.u HC<I.u I4<Hu H+u H<H3HRHHu6Ht H+u H;HnHT$@HE3HMMH NHD$HH|$@9H/Hu H;HuH5]r3H;:@3H;s:3H;o9 u H];uh5Ht  H+u H";nHT$PHE3HQMH cMHD$XH|$P8H/Hu H:HuH5]HPu4Ht H+u H:n(HT$`HE3HKQMH LHD$hH|$`Q8H/Hu HW:HuH5{\5H,Pu>W4Ht3H+H5J\u H:LH =D3k3H+u H9~,H7HL\$pI[ Ik(Is0IA_A^_H\$UVWATAUAVAWHl$HHH3HEE3HMLeHLeHEEpHAH HuPHH=/HtBH@H9u5Ht$~H1 H9HtHHtH@IH;HNHHtLpMHHH6MHt8HHuL5ZA i LoHL;-7uHwL7HUHN#1HFH H9HHuHFHHtH@IHH L;5HtHHH/u H8HHUHLE3H MJIHEH]5LHtH+u H7ML5YB _HIL;-6LuHwLwHIH)u Hq7IHHuHH]H?AL+E3L IHEH]XHHtH.u H&7I.Iu I7Hu A {H/u H6HGH &MLuHAH9 uH5 HtHH=H@H=GHLG*2HH%HHH } H5~ HtHB0H %HXHHu%0HuH 4HALH 0HuL5^XC HFHHFLMtA'6HLHuL5XC wH.u H5H%5IH9Gu LoLIEIH)u H5IHLmHLuH?HUHAL+E3L IVHMtImu IV5I/u IG5HuL5kWC MHOQE3E3HLDy C ~H/u H4E/LHuL5WC MILpI.Lmu I4HHUHAE3H FIHEH]g2LHtH+u Hh4MuUL5VD M Hp3I9Fu IMuI1LH`L5KVC MH '#L}LeHAH9uH=HtHH5E@H5EHLFI/HH"HHH H=HtHB-H "HUHHu%-HuH 2H>LH -HuL5}UE HGHHDLMtAF3HLHu,H/E L53ULmH2LmH/u H2H)2H9Fu#HFLvHEHIH)u H2IHuHUHHuHL}H?HAE3L+IL SHHtH.u HW2I.u IH2IHuL5iTE HPNE3E3HIDy E H/u H1E,HuL5 TE ILxI/HEu I1IEIMML; 0L;-/H R0LMIH=H +L5SL}F L}LmM Hj0I9Gu IIhI.HVL5HSE LuINPH)u0L}MnPIIMOL; 0t5L;=.t,H /LLMIH<H $+G INXH)u0M~XHH+HHu"L5RI LmL}H H?HUH BE3IHEH]Hu.HHtH+u H0H.u H 0HuL5-RI H/u H/HCHH6BLMtA/HHuL5QJ dH"%E3HwOHHu`J L5QH/Mu Hq/HtH.u H]/MtI/u II/L}MH D3衻\H/u H /H.u H/AHIHHuL5!QK H(u.L%,I$HMHt H)u.MtI/u I.IHMH3+H$HİA_A^A]A\_^]H\$UVWATAUAVAWHl$HHMH3HEE3HL}LL}EL}L}EzHAH HuZHH۶HtBH@H9öu5Ht$~J! I-HtHHtH@IH;IL$HHt L@LD$(L|$(HIHAHt-HHuH5OKLsHL;5,uHsL,HPJHN%HFH H9HID$HHtH@IIHƵzHµHD$(H;tHHH+u H,HH>Hg*H5NwHIL;5+Lu HsLcHI$H) u HZ,IHHuHH}H?HUHAL+E3L IFMLHtH.u H,I,$u I+L}Mu H+u H+IHHHUHL=E3H >LHEH})HHtH/u H+MHuH5MRH;r)H=H _bH<H(yH5PMHHUH<E3H U=LHEH}(HHtH/u H*MHuH5LH;(tHH\^u IL$0H)u}*I\$0HID$IH<LMtAp*HHuH5iLHHUHE3H >LHEHu'H.Hu H)H.Mu H)L}HuH5LHNy H+u H)HHUHs@HH ;LE3HEH}N'HD$ HHtH/u HJ)HuH5nKHHUHf7E3H |;LHEHuH}&HEHHtH/u H(L}HuH5 KL&HHH]OHHuH5JHHAH; 'H; ' Hv%LHH+u H[(IEIILLt$(AHEHHIͻALHtyIT$(Ht#Hl$(MIH+JHHH-HEH3HCLH;S"uH{L{HIH)+u H"3HD$(HT$0HD$8HHH|$0HLl$@H?AL+Ld$HL E3ICHHtH/u H|"I/u Im"E3Hu H+zHH"lHH3H; ^!H; V!HLHQH+u H!IFI3HHHnIνLHXIHtHHtH/u HH.u HHu H+u HHH(uIHT$0H/E3H /IHD$8Lt$0I.Hu IHuH5>5Ha2u>Ht3H+H5>u HDLH "D3蠨3H+u Hw@H#HH\$`Hl$hHt$pH@A_A^_H\$Hl$Ht$WAVAWH`HHEfHAH HuFHHӾHtAH@H9u4Ht$~H1 HcHtHHtH@3H;HNHHtLpE3HHH/HtDHHuH5==H L{HL;=MuHkL8H7HMxHEH H9HHFHHtH@HHͽhhL;5H½tHHH+u HcHHT$0H,/IH ,ME3HD$8H|$0H/Hu HHH5;<I H3L;=MLuHsLsHIH) u H3HHt$ HH|$(H?HT$ HAL+E3L I:HHtH.u HI.u IsHu H JH+u HUH}H5/u`Ht I H+u Hn0HT$@HE3H)MH [+HD$HH|$@H/Hu HHuH5:J HK/HHuHt J H+u HHnHT$PHE3H)MH *HD$XH|$PFH/Hu HLHuH5p:K 5HQ=u>LHt3K H+H5?:u HLH bD3`3H+u H~HHL\$`I[ Ik(Is0IA_A^_H\$Hl$Ht$WAVAWH`HHEfHAH HuFHHHtAH@H9u4Ht$~H1 H#HtHHtH@3H;HNHHtLpE3HHHK+HtHHuH58L{HL;= uHkLH3HM8HEH H9HHFHHtH@HH(dL;5HtHHH+u H#HHT$0H*IH c(ME3HD$8H|$0H/Hu HHH57H3L;= LuHsLsHIH) u H3HHt$ HH|$(H?HT$ HAL+E3L Iy6HHtH.u HBI.u I3Hu JH+u HH}H*u Ht H+u Hn0HT$@HE3HM%MH 'HD$HH|$@H/Hu HHuH56H +HHuHt H+u HNHnHT$PHE3Hx%MH &HD$XH|$PH/Hu H HuH5065H9u> Ht3H+H55u HLH D3 3H+u H~HHL\$`I[ Ik(Is0IA_A^_H\$Hl$Ht$WAVAWH`HHEfHAH HuFHH3HtAH@H9u4Ht$~H1 HHtHHtH@3H;HNHHtLpE3HHH 'HtHHuH54+L{HL;=uHkLHq/HM HEH H9HHFHHtH@HH _L;5H"tHHH+u HHHT$0H\"IH #$ME3HD$8H|$0H/Hu HHH53)H3L;=LuHsLsHIH) u HO3HHt$ HH|$(H?HT$ HAL+E3L I92HHtH.u HI.u IHu vH+u HHHU'HHu Ht 9H+u HHnHT$@HE3H!MH "HD$HH|$@PH/Hu HVHuH5z2 3H;G@3H;23H;. u Hu' Ht H+u HnHT$PHE3H&MH ""HD$XH|$P H/Hu HHuH51 5Hu%u> Ht3 H+H51u HXLH fD3贛3#H+u H1~(F,H0 HL\$`I[ Ik(Is0IA_A^_H\$Hl$Ht$WAVAWH`HHEfHAH HuFHHHtAH@H9u4Ht$~H1 HsHtHHtH@3H;HNHHtLpE3HHH"HtTHHuH5M0+L{HL;=] uHkLH H+HMHEH VH9HHFHHtH@HHx[L;5HtHHH+u Hs HHT$0HIH ME3HD$8H|$0% H/Hu H+ HH5K/)H3L;=] LuHsLsHIH) u H 3HHt$ HH|$(H?HT$ HAL+E3L I-HHtH.u H I.u I Hu vH+u He HH"HHunHt 9H+u H( HnHT$@HE3HRMH hHD$HH|$@ H/Hu H HuH5 .3H; @3H; 3H;  u H uHt H+u Hq nHT$PHE3HMH HD$XH|$P* H/Hu H0 HuH5T-5H!u>0Ht3H+H5#-u H LH .D3D3H+u H ~0HHL\$`I[ Ik(Is0IA_A^_H\$Hl$Ht$WAVAWHPHHE$HAH uLH舡HOHHtLpE3HHHfHt HHu YL{HL;=/ uHkL H&HMZHEH G^H9HHGHHtH@HHߞJWL;5ӞHtHHH+u HE HHT$0HvHH LE3HD$8Ht$0H.Hu HH ^H3L;=6LuH{LsHIH) u H3HH|$ HHt$(H?HT$ HAL+E3L I)HHtH/u HkI.u I\Hu$H+ H5w*H8H+u H$HHO@H)u H_@HT$@HE3HLH LHD$HHt$@H.Hu HHu 2HO8H)uAH_8HHٮHHu$ H5)LH CD33H(uaHjHH\$pHl$xH$HPA_A^_H\$Ht$UWATAVAWHl$HE3HمeHAH HuEHH=>HtBH@H9&u5Ht$~H HHtHHtH@IH;HKHHtLpMHHHuHt~HHu <LHL;=uHwLyH2#HNHFH 62H9HHCHHtH@IHH9SL;5-H.tH!HH/u HHCH;hHkK<;HH eHAL;=IHAuH_HwHHH)u H6ILH]ILeL+I?HUM HE3H(&LHtH+u HH.u HMtL;5tOHI8uHA0H;0}HHA0IH0}Hi0IH@(IH(H+0_MEx^J(@ILHI9 |$I+AIHHH)0IyIcHD(IH(H0I;^ILd$HHD$ IHHII,$u IYHtH.u HEHH$H3H$HĐA_A^A]A\_^]H\$UVWATAUAVAWHHH3H$3HLDEHAH Hu|HH́HtBH@H9u5Ht$~J1 ImHtHHtH@HH;'INHHtLxLHIH HtMHHuL5FLkHL;-VuHsLAHHNHFH H9HINHHtH@HH HHt-~IIxHHHtH HtHIHH L;tHyHfH+u H7HHT$8H DE3HD$8AH/l$(HD$ @HHL5HLL;-.LuLsL{IIH) u HHHLt$@HH|$HH?HT$@HAL+E3L IHMtI.u IbI/u ISHu H+u H5HqHHHHu HLHHu HH+u HHHT$PH_IH &ME3HD$XH|$PHHtH/u HHHuL5xH LHuHt (H+u HKM~HT$`HE3HuMH HD$hH|$`HHtH/u HHuL5(HDuHt H+u HE~HT$pHE3HdIH HD$xH|$pL$cHHtH/u HdHuL5IH9uUdHtJH+L5Wu HHtH.u HMH vD3d~Mu .H+u HA~0H-HEI,$u IHH$H3<H$HĐA_A^A]A\_^]H\$Hl$Ht$ WH HzHHv HZH23HHu3HH.H.Hu H4Hu LKL; Rt0H;!t'H L~MIH&H ]HM H)uH] Hv H_ H5QHHu3HHH.Hu HHWHHHu Hu{H+u H[HuHv H_(H5HHu3HH H.Hu HHH!u(HtH+ H57u?H4H+u HAuHH/$u$ H5LH D3{3 HHH\$0Hl$@Ht$HH _H\$Hl$Ht$ WH HzHHv HZH23HHu3HHH.Hu HHu LKL; "t0H;t'H L|MIHH -HM H)uH] Hv H_ H5!HHu3HHYH.Hu H_HWHHHu gHu{H+u H+HuHv H_(H5HHu3HHH.Hu HHHu(HtH+ H5u?H4H+u HAuHH!u$ H5LH D3y3 H_HH\$0Hl$@Ht$HH _H\$Ht$H|$ UATAUAVAWHl$HHH3HEH3HD$@DHEHD$`HEDDHD$x LHM~]L_  HMLD$0IHH)u LD$0W3AHIA@I@ KH\$0H-H03HHD$0HHH3L;=B3L;=.3L;=* u IЅyH=+L|$0LW3HEELHuL|$0 H= LH HUHMIFIHHMH `JI.Lu I`E3Mt5LHuH=n  LLxH.HH$IF HIyL|$0"H= LH HUHE3HuIHEH LHuL|$0#H= LE3E33I I.u ImL|$0E3H= #LW3LHuL|$0*H=` L.HIyL|$0*H=3 LHIyL|$0*H= LHC IHL0HD$8觲LHuL|$0-H= LI~LHuL|$0-H= LsI.u I^IE3s؅yH=v -LI/u I*W3HEEHHuL|$0.H= LH HUH.LHCIHHMH H+Lu HMuL|$0.H= L^HHuH= .M/H\$0LLxHOHHEHF ^HHuH=O 0L|$0MH]H;H|$Xu/H lLnHnH MH= 0 HHH9CH H}HLH]HUE3qLHH@H;t/H;t&I^I/Hu IL3ɉL$HHD$03ɉL$HIHD$hHD$0E3Lt$pHgH9EH HwH `H3H؉L$HHD$HHL$HHEHD$0LHD$hLHD$0HmH=0r LMHLEHT$XHEHHELuHLeHCH;dueHL$XH;KmHAHD$XHLHHAE3D$ LD$xHT$p|Lt$pLd$xt H;u.HL$XH;KHAHD$XHCH HH: HHHo )LAI LqILa I$H)uHIMHt H)u1E3LeHLt$pIHt H)uHD$8E3ALd$xIH  L$HLIHa L$HH+u HMtImu IHtH/u H3Ht$@L&HHuH=3L|$0^ HaHyH=m3 H\HyH=H3 H7HyH=#3 H*HyH=3 HHtyH=3 HHOyH=3g HCH*yH=3B HHyH=j3 HQHyH=E3HDHyH= 3HHyH=3HHqyH=3HHLyH=3dHxH'yH=3?HsHyH=g3HHyH=B3H|$h3HwHHuH=;L|$0HHyH=;HHdyH=;|HpH?yH=;WHkHyH=;2HHyH=Z; IHwH聦HHuH=2>L|$0HLHuH= >H.u HI3؅yH=>wI/u IIͅLHuH=AL|$0jHMH ;.HHuH=oA I/u I&HHuH=<AH|$`LH\$0HpHHHHHA 5H/yH=DL|$0HE3I9LHuH=EL|$0yH$E3At$ IWHHuH=xEI/u I/LPHHIH]HHuH=3FL|$0HHLHuH= FH.u HHMI3yH=FkI/u IIH謥LHuH=HGIKHHuH=|HI/u I3HK؅yH=NHH.u HE3ɅRHCHT$8H AHD$8HDL$(HD$ HHuH=IL|$0HHxHHuH=IlHHHL$`HHufH.u HWIHHuH=oKL|$06HaLHLHuH=?KH.u HHHuH= KH\$0LLxHHHHF Hu H]HUHH]E3LL}HH `LHtH+u HaMMuH=NL|$0IHlI9D$uI<$u I$IMILHHtI,$u IHCH;3u HHLMH H;u HAXH'H H;u HAXHHHHLH@H+u HH sILHH/u H_H 0HUL}E3LuLMH [I.Hu I)MHuH=JML|$0E3E33HH+u HH=ML|$0MxjH; uH HaH HH H I}%IHpL LDHAHH=0MtImu IEHMHt H)u0Ll$@I/u IHH.L|$0u HLl$@HD$`HuHD$`MtI.u IMtI,$u ILH `D3fH|$`E3IMtImu IHtH.u H{HtH/u HgH+u HXIHMH3ٹL$I[8Is@I{HIA_A^A]A\]L=1H=ELIHHHSAWHxHLH HHhIHpHx3L`E3Lp3H$HAH9L$uH5ؿHtHL5@L5IMFHHHHH H5HtHBzH kIHHu%UHuH HMH ~Ll$XHuH--nHFHHLMtALHu H.u HIHiuH-I.u Iz7IyH-HEHHLMtARLHuH-KH2I9FuIII.u IILhIHHuH-IGuBH;uII IKHuH-ILH+usPHHuH-HEHhILx L;=Du032HuH-NH+ILuHLHHxH9HtH;u HIHuHtH;tHHHwHL33E3HEHT$0H E3IHl$0Ld$8jHHtHmu HjHuH-HHT$@H E3IH\$@Ld$HH+Lu HH+u HMuH-+4IIHHI,$H-u IL$H)IHtFE3E33IRIExHH8Ht H)uwHH.HIExHH8Ht H)uAHtH.u H-MI.II,$u IILH)uHtH.u HHtH/u HMtI.u II3Ia-HHu@H-L$L$H YLD3_3M-HAHHuH-rH/u H)H3>yE3D%H)HHHuE3EH.u HH+ILuHHuH-L$HH|yH-HH$LyH-t(HLI|yH-aH @HAH9uH=HtHH@@H7HLCjHHHHH MH=NHtHBH HHHu%HuH -HLH HuH-HGHHVLMtAgHHuH-`wH/u HIqHHuE3H5LHLHuPH.H- u HMtI.u IH-H/H H.u HH/u H|L$QHHuH-ILpHEHh I,$u I1MtI.u ILt$PLl$XLd$`H|$hHt$pH$MtI/u IHHxA_[H(L38Q8Q AʄuA@!AH  A@" ȋMPH uL;tgIXHt/LHM~HHH9tBHHI;|H(IMtHH;tHuH; t H(IIHH|$ Ht H\$8HHt$@Hu H5HH;u HHWHGH;uHu HH7HH+H;uOWf.zAHHHuH/H5wuDH9H/u H1HIuQDHtFH+H5<u HLH R3AqZZHt$@H\$8H|$ H(H+u HHt$@H|$ H\$8H(ËH(H\$Ht$WH H~WAu5EEu&II9F GÅDH\$0Ht$8H _Ë؅ۍGDH\$0Ht$8H _E'3EEuI9F ؋DžtGH\$0Ht$8H _@SVWATAUAWHHȱH3H$E3T$(DHEEALl$ D8itHQ(HH HAHH;AH @HuHvDD$(H$L$:AHHuH-qW3HD$HD$8HHuH-=9HTHT$@HGLIHH ĻHt$@H.Lu HH/Iu HMu+H-MILH D3WIHHHu fI.u IPH;=Yt H Hu M H@8{tLc(L%I$HWH\$PD$XLHHu"H- Ll$ ML)H HT$PHLHFIHHL$XH nH+Hu HtH.u HeHuH- L$(LHl$ ILHuH-[ W3HD$xD$hLHuV H-"I.u IMtI/u IHtH.u HL|$ HHHT$pIGMIHH iLt$pNI.Hu IdI/u IUHuH-y L|$ HHLKHHu$ H-GH/tHfH/u HHHH;t+HHuH- 'HL;t$HIbuH- E3IHHuH- LMtI,$u IPMtI/u I<HtH/u H(IL$H$H$H3蕨HĘA_A]A\_^[LSATHH̬H3HD$xHE3LHHIkIsI{ MkEMsEM{HHu H; A@H(unQHWH\$HHD$P-HHu H <HT$HH0LHGIHHL$PH xHHtH)+u HH)/u HHu H LIHAH9?uH5>HtHL5@L5IMFHHHHH H5HtHBH qIHHu%[HuH HMH Hu *HFHHLMtALLHu DH).u HHII9GuIMwHII)/u IIHHT$`HD$pHHH|$`HLl$hH?AL+E3L InHHtH/u H7I.u I(H:H .HAH9ìuH=¬HtHH5.@H5%HLFXHHHHH {H=|HtHBԾH ųHHHu%HuH HLH ؾHu ~HGHH[LMtA\HLHuL=RH/u H HZH9FuLvL~IIH).u HIHLt$(HH\$0H?HT$(AHL+E3L IHMtI.u II/u I~IHu H+u H]HEHHWHLMtA]HHu IML=KH>HGHHLMtAHHu$H/L=HH/u HH^AHyOIML=H.u HqHtH/u H]MI.uzIEoH.u H4HEHT$8HE3H IHD$@H\$8HmHu HHu"L=MH GD30NHmHHuHLL$L$H$H$H$MtImu IhL$HtH+u HLIHL$xH3̡HĘA\[H\$Ht$H|$ UATAUAVAWHl$HHH3HE'LI3LHMH}DDH}ADϺHоHEHHxL)MtL;u HIHuMt#L;tIEIIEHEHغHE LH}H}H HAH9=uH<HtHH=@H=HLGHH@HHH HHtHB.H H_HHu% HuH uHVLH 2HuHM>HCHHLMtAHLHuHMH+u HbH3ۿH9FuL~LvIIH)>u H23HEHUHEHHAHEL+HL}HE3H?IL HLMtI/u I־E3I.u Iľ3HuHM<HFE3H?HLMtALHuHMHuHHFHHLMtApHHuHMHuIWEEHEHHuHuHIH?HUHGLIHHL}HG HH H]I/Lu IE3H+u H3H/u H3MuHuL5Ht H)uY3HMHMMtI,$u I:E3LeMtI/u IE3HtH+u H3H]HtH.u HHHuHHN`H;t-HHBt)2MH BD3ILMHLEHUy_H HHUHUE3H]IHEH hLHt#E3E33HOI/u I E3 HML5=LeH]HMHFxHL(Ht H)uHMHt H)uѻHMHt H)uLmHuMtI,$u IMtI/u IHtH+u HwMtImu IbMH @AD3GE3HtH.u H7IHM'H3踛L$I[8Is@I{HIA_A^A]A\]HEH@xHL(Ht H)uHMHt H)uӺHMHtH)zoHL;IXHt'L@HM~KHH9HHI;|0I@fffHH;HuH;Lt|H HUHE3H}IHEH 3HHuL54BE3E33H H+u HڹL5H߿IIHHtιHHuL5 HH;t5HCH;nu H9s@mH;{uKKWf.ztH+u H=IFIHLMt3A4AHOH_yL5" 0 HHuL5 HE3E3HTyL5 H+u Hu IIKH PHUHME3HuIHEH pHHuL5q E3E33HFH+u HL5@3ۿ L@VH0HHHIHPH;tEu HHH0^H H\$HHl$PH|$X3HAH9uHHtHH-@H-HLEHHHHH BHCHtHB{H lHHHu%VHuH µHLH Hl$PHHHOH9Cu"H{HHCHHHH)u̶3HH|$ HHt$(H?HT$ HAL+E3L HHHtH/u HH+u HpHtH\$HHH|$XH0^L H b;3ABH\$H3H|$XH0^H\$Ht$WH0HHHHA&yvtH\$@Ht$HH0_HAHy?tHcSE3 H\$@Ht$HH0_H%HAHyR!H=`LD$(DD$ 3H p:3H\$@Ht$HH0_ËSE3 tH\$@Ht$HH0_H%~pH\$@Ht$HH0_HAH H;uLXMt.MJE3AM~HIBH9tHHI;|AfDHH;tHuE3H; AAAAHAH H;uLXMt.MJE3AM~HIBH9tHHI;|AfDHH;tHuE3H; AAAALUAVHH̘H3H$H$3I[LMcMMkDDD$0D$(\$,Hl$8Hl$@Ht~PT$(~@D$,IAH3IH$H$L$sxStHfAIXx8tdH+AI=xtIHAI"؅y0H=;MI,$IòI,$u It|H yHT$`HUE3Hl$XIHD$`H HHuH=<aE3E33HlH+u H=H=f<0H%AVIN LAHD$PIv H A~LhHALE3H֋HD$ HLHuH=AH;įtHHcuAJIH\$8HHOLHuH=FsL;=xt7HǠIu$FI/H=sAI43L|$@LHD$XHl$HH9l$P;=fDI8HžH0H0H H;HLD$hT$,LH0AыL$(D$pE+D$0ŋ3#E~6u!uIHL$hP9D$tEuED)!uIHL$h#9D$ttEuAu"FHHDL$(*ED+DL$pEAAЍRD+D$hAA#+HHD$h*AЍRD+A#ȍIA DȉL$pIHL$hWL$,HT$hD$tH;LAHHu"FnH;H=4Lt$HM0IH0H1IG A9oIH@ILcQEuH(H0IH@(@88t"H(HP8| HB(HcB AuAHA0H;0}HHA0IH0zHi0IH@(IH(H+0\MEx[J(ILHI9 |$I+AIHHH)0IyIcHD(IH(H0IA;_ILt$HL;t$PH\$ HD$XHPLd$8MHII,$u IL$L$L$H$H$H$MtI.u IfHH$H3HA^]ûT3Z,,H H^gH ;SH=7HL$XLt$@H PgLd$8LD3N9M+@USWATAUAVAWH$H0HH3HE3HMDmHLmELl$0ALmpELl$XELmLmLl$pLmLmHLmLl$PLl$8Ll$HLl$xLmMt E9(~A@EH?H;uH8LQH$x)$ AxL;6uH8HL;uH@X!HL;uH@X HHH\$8Hu M6HHxH;HHC LC@tA"uAADDILMtAHD$8HuHL$0HL$0Lt$X(WHUE3IHEˬLHtHL$8H)uLl$8IGH;‰u IL|$8LH gH;u HAXI'H pH;u HAXIHzI0HD$8HEI/u IH|LD$8HIH6HHHLLIDIHD MD$H1LAHLHiI,$u IHL$8MH)urH CHUHD$HE3Ll$8IHEL}H `HL$HHHt H)u'Ll$HI/u IMHuHL$0HL$0Lt$XNE3E33HH/u H҉HL$0IHL$0Lt$XHL$0HL$0Lt$XH ^HH HL$0HL$0Lt$XH >HUhHE3Ll$8LLm`HEhH `HL$8LHt H)u'Ll$8MuHL$0HD$`HL$0HD$X[E3E33II/u I߈M뽻뻻MHL$0HD$`H}HL$0HD$XHL$0HL$0Lt$XHL$0HL$0Lt$XSI?HL$0H}HL$0LLt$XHL$0HD$`HL$0HD$XLuqHL$0HD$`HL$0HD$XLuOHL$0HD$`H}HL$0HD$X-HL$0HD$`H}HL$0HD$X HL$0HD$`L}HL$0HD$XHL$0HL$0Lt$XHL$0HL$0Lt$XHL$0Lt$PHL$0Lt$XHD$0MHD$0MxHD$0MHD$0f~H HRAH c5Hx0)HH/HHDHD$0HD$0MIM廧Lt$PH5ȨLL$HMtI)u IHL$xLl$HHt H)udIHL$xHMMtI/u IDMtI.u I0LmMMtI,$u IHL$8MHt H)uLl$8HtH/u HLHH} MHHO`tFLH ?D3LL$8HLEHUytHMȻH5LuHL$xHGxHU@HHHt H)uXHM8Ht H)uCHM0Ht H)u.Ld$xIL|$hLeILd$xI$H %tHAH9suL5sMtIH@HHLCOLHsHHH bsL5csMtIB~H sHLHu%~HuH HLH ~IMILHu H;AHHDnH]HH(u HH рH}LHu 7H+u H߃H0I9Fu"I~IIFLHHH)uIWH0L8@p~HEHHHH0HFHALL+IHHEH8HHF HHHL@H?L HD$HHtH/u HI/Iu IH.Mu HI.Lmu I͂HL$HMHH5|HL$HLLmLmLmHt H)uLl$HMtI.u IlHMHt H)uWMtI/u ICHtH/u H/ID$xH8L(Ht-H;=(tLILw(MtIH/u HIMMLMILEHUy,IL$`HMIL$hHMIL$pHMMl$`Ml$hMl$pHEHEHEHEHEHEHL$xH)u|ID$xHH8Ht H)u`MtI/u ILMtI.u I8LMILEHUcLuH} H)u Ll$HI,$u IHMHt H)uI,$Ll$Pu ÌHL$8MLl$xHt H)uLl$8HE HU@H@xHHHt H)uHM8Ht H)uqHM0Ht H)u\L|$hMWHrItyMIIHHEzHT$xH*u HHt$PMLl$xH.u HHM8MLl$PHt H)uHM@Ht H)uHM0Ht H)uHD$0IHD$05HD$8Hu _ HE3ADl$ HLHu 0 HL$8H)u2HSE3E3Ll$8I踖؅y  I,$u I~Ll$xH]MH͊H|y  t'HڃHq|y  HILl$8IGLMtA~LHu K HE3ADl$ IHD$HHu  I.u I~HD$8HUH >pE3HEIHD$HMHELl$PHL$8HLHt H)u}HL$HLl$8H)u}Ll$HHu I/u I}MLl$xLH\$hHL={L|$h~H lHAH9_juH^jHtHH5ʉ@H5HLFxHH:lHHH jHjHtHB(wH lHYHHu%wHuH o{HPLH ,wHHu LH{H9Cu#H{HHCHHHH*uu|IHEHUHEHHH}HAL+H?L E3H]HLHtH/u H#|H+Iu H|Hu MMLl$PLHt$hH]L;=yH jLl$HHAH9juHjHtHH=ʎ@H=HLGwHHjHHH _jH`jHtHBuH jHɝHHu%suHuH yHLH uH\$8Hu IHfzH9Cu+HCHD$HHSHHHL$8HT$8H)9uzIHD$HWHuLHu IHHH]HIFAL+MHHHL$8HH?L H1xHL$HLHt H)u@zLl$HI.u I,zHL$8MLl$PH)uzLl$8Mu II,$u IyLl$xsHwHE HHxfL1MtL;u HIHuMtL;tIIM~IsL MMMHHL$hcqH5HL$HHt H)uQyHL$8Ll$HHt H)u6yHxIHM Ll$8H[H] E3HE33[AHCxHL0Ht H)uxMtI/u IxMtI,$u IxH]D9mHCPL|$hH"ILl$8IGLMAHE H@xHL0Ht H)u?xMtI/u I+xMtI,$u IxLt$PLd$xL|$hMtI/u IwMtI.u IwIMI,$IwwLHuLd$xIFH;uuEILt$HI.u ItwHxHL$HAMLHujLd$x3H 7vH;u HAXI'H @vH;u HAXIHYfItHD$HHwLd$xHL$HH)uvH uHUHD$8E3Ll$HIHELuH ȗHL$8LHt H)uvLl$8I.u I{vMMu VE3E33IxI,$u IHv(H;wtuHAH !uH;u HAXH'H *uH;u HAXHHCeHrHH\$8HuLd$xLt$PL|$hH wHL$8A襠HD$HHtHL$8H)uuH ktHU(HD$HE3Ll$8ILm HE(H 舖HL$HLH)uTuLl$HMfE3E33IUI,$u I%uLt$PL|$hMH5<MtI.u ItHL$8Ht H)utHtH/u HtHL$HHt H)utMtI,$u ItLH .D3 L|$hMI($ H$xMtI/u I^tHMHt H)uItHL$0Ht H)u3tHMpHt H)utHL$XHt H)utHMHt H)usHMHt H)usHL$pHt H)usHMHt H)usHMHHt H)usHEHtH(u HsIHH3TH0A_A^A]A\_[]H\$Hl$ VATAUAVAWHH/XH3H$LaE33HT$@3HL$HE33E39Yxt3p3H$MuL%%Q HL$(mHD$(HHuL%3HL$(Q ID$Hu#H zqL'HH m HHH; qtkH; qtbHHD$0foLHH@HHD$8HHL$0HuRIEI;MH;Rqu I]HH3LHL$03HD$8I\HHdHHL$0IHH HK3H; pH; pHnHHH+u HqHFH3E3HE3HHLHALH5HHHjL)>u H&qH|$(3aHKH.HkHEtHHELs I#HHH[HCLpIMJH+u HpIL$ Il$ Ht H)upIL$3Mt$Ht H)upIL$ E3H~HALMtApHHcHjH6mLHGH+u H#pIL$ HHALMtA$pHHHjHlHHH+u HoIL$H~HALMtAoHHH#jHzlHHH+u HgoIL$H[HALMtAhoHHIHiHlLH&H+u H oH JoAH5oHL$XHD$hHL$xLt$PHl$`Ht$pL$AF @tAuA AEDËE @tu ADӋF @tu ADAG MW@tAuA AEDD ID HL$PE ȺLFLEMFMCHHI.u ImE3Hmu Hm3H.u Hm3I/u ImHOE3H9O ~HHGHHAHGHHhuH+HL$0HD$8!HTmHD$8 L)8u?mH lH~AH gH.u Hm3fuIu3E3nQ oQ E3e~H kH!~AH 2g5Hx0֜)fH=HjHHz3E33E3R L%HL$(H)udl3HL$(MtImu IHlHtH+u H4lHtHmu HlMtI.u I lHtH.u HkMtI/u IkHD$@Hx`t3 QMH ND3,H|$(HL$HAxHH$H$H3LL$I[@IkHIA_A^A]A\^eImuIXkH\$Hl$Ht$ WATAUAVAWHpHPH3HD$`HYE3HL$@AIxEHT$8EEtzt3HS@Hs0Hk8HT$0L{0MBHHHHHdH HiHHx L;ht-MtH :iHH dH- .HsHu/H iLHzH dH-S HFH;>iH;)iHHfHHuH-  H@HHT$0HH- $cH.u HiL=gIH\$@HCxIHL$`H3IL\$pI[8Ik@IsHIA_A^A]A\_HIL|$0IHNH;F}H; Xhu HFH<H|HHHu  rHOAH; hH; hHeLHu  3H/u HhIFIIL|$ HHD$(LHIHD$ T$(LHtmIT$(HHt3H(uXhH )gHyAH b ay  I.I hI.u IgMauHL$  GHOHtoHxݗ #LoIEHIELg I$H/u HgIHK(Lk(Ht H)uigHK MLc Ht H)uMgHCMLpMuQH eLHsH aHLHu xHGL`I$M_ \IHT$HHC(E3H tIHD$PHC HD$XLt$HdI.Hu IfHM H-HtH.u HufHtH/u HafMtImu ILfMtI,$u I7fMtI.u I#fHD$8L9x`3]KLH D3ikHD$0HC@Hs0Hk8H\$@HK HtL{ H)ueCxHDHT$HL$SUWAUH8Li33H9Yxt 3H8A]_][Ht$pLd$0Lt$(L|$ MuH5E33Y`LHu H5rIEHu#H cLHuH _>HHH; 6dt:H; %dt1HHaHH H@HHuH33HLMHu9HGH;wAH;cu I$MHIHHH HHHtqIMI]Ht H)uUdIM\HHtlINI9N ~HIFHHAIFHI)_u=H+RHdD^HHGbHH\qumHl$hH5I.u IcE3HtH/u HcHtH+u HcH}`t53HLH 3A]H/u HVcHL$`AxUL|$ ILt$(Ld$0Ht$pH8A]_][HT$VATAUH@HqE3LD9axt 3H@A]A\^H\$pHl$8H|$0Lt$(L|$ Mu H=H^Hu*H aL9H&sH ]H=΄HCH;atIH;at@HHs_HHu H=dH@HHuH=x9HIILsMHu8HCH;{SH;Fau IMHIHHHHHHN HF Ht H)uaHFHP HthH;_tFHN AwiH`HL%`H+HuaH 1`HH y[AH _L=HmH [!Y[HtbH_HHnuFH=?HtH+u H`HD$hL9``tF39FLH g3A-B&ZH+u H`H_HL%_IAExL|$ ILt$(H|$0Hl$8H\$pH@A]A\^@UVATAWH8Hq3LL9ixt 3H8A_A\^]H\$hH|$pLt$0Mu H5\Hl$xH^Hu*H ^LH|pH kZH5$VH>[HLH/[L;LL$ HLD$`HT$x[HD$`HHN HD$`HF Ht H)u_HFHHPHthH;]tFHN A0rHS^HH-I^H+H._H ]HsH 2YMH ]LHkH bY-H]HH-]H ]HOpH XHH5H+u H^HtH/u H^I9l$`t3CLH 3A>IAGxtLt$0HH|$pH\$hH8A_A\^]@UVATAWH8Hq3LL9ixt 3H8A_A\^]H\$hH|$pLt$0Mu H5,Hl$xH^Hu*H \L_HLnH ;XH5VHYHLHXL;LL$ HLD$`HT$xXHD$`HHN HD$`HF Ht H)uX]HFHHPHthH;Q[tFHN ArH#\HH-\H+H\H [HCH WMH y[LjH{iH 2W-H[HH-[H V[HnH VHH5~H+u H}\HtH/u Hi\I9l$`t3ALH 3AHIAGxDLt$0HH|$pH\$hH8A_A\^]H\$HT$UVWATAUAVAWH DIx3HqLDDEtxAt3}HV8H~(L~0HT$`Hn(M_IHvHHUH HYHHh_L;pYt-MtH ZHH bUH5k}^%H~Hu/H YLHkH zUH53}_HGH;ZH; ZHIWHHuH5|_H@HHT$`HH5|_DTH/u HsZH-|XHEIAExhHH\$pH A_A^A]A\_^]HLHl$`HHOH;G}H; QYu HGJJDHIHu _HN HF Ht H)uYHeAHN xsHFHXHu H NXLGHPfH T@HLHV HHBtHCLMtAYLHux^H5y{HtH/u H5YMtI,$u I YMtI.u I YHD$hH9h`3F>LH tD3RuH+uHXHVHL5VHD$`HF8H~(L~0IM HtIm H)uXAExI,HT$HL$USVWATAUAVAWHHhH\AH3E3LHUXE3LM`HP3HOE33H;tXHGHHeLMtA'XLHuL- zHzAIXHE`LHu$I.L-yvIWhI.u IW3L;-V@3L;-V3L;-U u ImWyL-yImu I6WE3LM`H @FHAH9=BuH5OHCH9GH3LkHKMbIHHu H$H_HALMtANLHu OIHxKLHu 1H/u H/NI/u I NE3GIHHHu H$H3_HALMtANHHu H^LHHy Hmu HMH$3H\LHALMtAMHHtLH;gKuH LHH ^G*HGHH tqKZGH56oMtImu ILHtH/u HLMtI/u ILMtI,$u ILHXHmMHL?H/u HLHKI9EuIuMuHII)Mu ITL3HHt$ HLd$(H?HT$ HAL+LL I>mHHtH.u HLI,$u IKH+u HKI.u IKHusHHnH|H zJHT$8HGE3Hl$0IHD$8H lHHt E3E33HmH+u H_KH5mLH D33H$H@A_A^A]A\_^]H\$UVWATAUAVAWHH/H3H$H3HHHL$@3E3E3E3HPHMH;+KH#ELLHu HK>EHHuH-l fHHGHHuH-l -H.u H9JHZLI3dEy iH/u HJHCHH9[LMtA JHHuH-l H[LIDy H/u HIHCHHXLMtAILHu !L;-kGuH HHH bC!]IEII tpGYCy!0Imu IHH/8MHKhLHu H-kI,$II,$u IHIH:HMAHKH!YHALMtAHHHu %sHGH;Fu5HHH/u H:HHMHXHALMtUAVH GH;u HAXH'H GH;u HAXHH-7HDHHu%GHHu &HGH;EHLH/u HGHCIHD$`HIHD$pHAH$Ht$hL|$xcHDXIOD LFHLAHL$`riHH%H-:iHH EH;u HAXH'H EH;u HAXHH6HCLH&H/H-huHFH.u HFI/u IwFH 8EHT$HLl$@E3H|$HIH lgH/Hu H:FHt E3E33HDhH+u HF$"HhH5H 5H|$ HAH91uH51HtHHW@HWHLC:AHH4HHH E1H5F1HtHB?H 4HgHHu%?HuH CHPLH ?HSHFHHOLMtADELLHuH-:gH.u HD3?HHuH- gHEH;CtXH;CtOHHALHuH-fvH@HHD$0Hu!H-fPHE33LHD$0IOHL$8HHL$PHHu:IGI;_xH;]CuHHT$8L4L4IMHILHHIHt HmuCHL$@IALHHNH9N ~HHFL4HAHFIH>u[I.HD$0HL$8HT$P3ItCHD$0HL$8HT$P=HHAHHPuyH-deHtH/u HCH.u H CMtImu IBMtI/u IBMI.IB<I/u IBHtH/u HBHAI9D$u$I|$Ml$HIEI) $u IfB3H|$ HH|$PHHt$XH?HT$PHAL+E3L IIcHHtH/u HBH.u HBImu IAHu$H-dLH D3>3HH$H3G"H$HĐA_A^A]A\_^]LUAWIkHHh&H3HE'HRE3I[AIsAMcLL}MkEHMHIMsEL}HALMtAAAH$HEHu NHRLIl'HHHu N\HUH*u H@IL$L}H}i;HHu P$H?H9CuL9{|HHH|U H=HEHu PH+u HO@H\E3HMAIXDy PHUH*u H@L}EtHTHH5 TH^@HU@HHK@HHHEL%:@MHHHtrAdA 3谋HEHu W"H@HMAwjHHu WHUH*u Hb?L}LI,$u IK?HGH;=uHHJH '>H;u HAXH'H 0>H;u HAXHHI.H;HHlHMHaRHALMtA>HEH9WHUE3IHE_LH HMH)u|>L}IFH;<u ILuKH S=H;u HAXI'H \=H;u HAXIHu-I;HEHI.u I>H>HLEHEHw>HELmH]HuLEHDID ID HND HKAIHMEHLHM_LHupYL%_HMHEHEHt H)uW=HtH+u HC=MtI.u I/=MH D3HMHt:,H+u H=HMH)u<L}HIMH)u<L$L$H$H$HtH.u H<H$MtImu I<L$MtI/u Ik<IHM'H3HĨA_]H\$Hl$Ht$ WATAUAVAWHH!H3H$E3HL$PHLd$@3Ld$8ELd$0Ld$(AEA7LHuH- ^]HTLI7y ]^H&JIe7y ]@HLIG7y ]"3Ll$@t6HuH-]^HEHHD$8HHCLMtAQ;LHuH-J]_EI8HHHu _Imu I:H5yH-\_HLHIHu H:IL9cIEHHt$0IHudIExHHHt H)u%1HtH/u H1HtH.u H0L$MH E3QIM`M}hMupIm`ImhImpHt H)u0MtI/u I0MtI.u I0H/HH-/#I/u Ii0I.u IZ0Hl$xIExHHHt H)u:0HtH/u H&0HtH.u H0MtI,$u I/HH(A_A^A]A\_^][HL$USATAUAVAWHHxE3LAL}@HEHEHEL})H -HEHPxHHtH;u HRHuHt$pH|$hHtH;tHHH{H)H IIIIEIHPCLMtAQ/HEIHMLHMHL57QALuPH-HMHHI`H;t)HHBt8:AHHHu-H-HHH/HU&H/u HA&H $HT$0HD$(E3Ht$0IH 2GH.Hu H&Ht E3E33H HH+u H%H-HH|$xLH D3&3HL$PH37L\$`I[ Ik(I^HATAVHHE3HXLHhHHpHxALhLH uL$L$HAH9*uH)HtHH5.@H5-HLF HHHHH HHtHB H HE3E3HM:؅y OH/u H?"tXHHT$PH l3E3LHt$PLd$XH.Hu H"Hu dH.Lu H!IEHT$`H 0E3ILl$`Lt$hImHu I!MHu HF؅y zH/u Hj!IEIHM}I{HHHIEIHn2LMtA?!H$HH?2LH3H$H)u IEIH10L$H$LMtA HHtHH;uH RHKH &HGHH tysH5{BMtI/u I2 H$Ht H)u HtH/u H H$HjH)`UH/u HH!I9Gu#IwIoHHEI/u IIH;HT$ HD$(HHHt$ HAL+H?L LH@HHtH.u HIH+Mu H7Hmu H'Hu HI4HHu1H/H5$Au HMtZI/uTIIH/u HILH)uL;5t5HIZRu"H5@LH D3IML|$pLl$xH$H$H$H$MtI.u I0IHĘA^A\HATAVHxHE3HXLHhAHpHxALhLH  LxLL$HAH9 uH HtHH5&@H5&HLF#HH HHH H HtHBH H?HHu%zHuH H(LH HHu 9HrH9Cu#H{HHCHHHH)uIHH|$ HLt$(H?AL+E3L HHD$ H=HHtH/u HH+u HHu 9aI/ILuqIEHT$0H 1+E3ILl$0Ht$8,ImHu I1Hu :H;=+AAAH;=H;= u H؅y :`H/u HIEIHM}HHHIEIH,LMtAHHH,LHHmu HFIEIH*IH$LMtA>HHtHH;uH HH &HGHH t! yoH5<;MtI/u IH$Ht H)uHtH/u HyHUHmJH\<H/u HHHII9GuIwMHIH)uIHE6HT$@HD$HHHHt$@HAL+H?L LI:HHtH.u HH+u HI/u IHu;vHIIHHu;H/H5;uTHfIH/u HUH+Lu HCL;5Lt5H ILu"<H5K;LH D3wIML|$PLl$XH|$`Ht$hHl$pH$MtI.u IIHxA^A\H\$Ht$ WH`HH3HD$XHHHUH=Lu CbHT$0H:HCHH$LMtAdHHLHL; et-H;,t$H L MIH1$H h HHL$0aiHHHu$H/DH59HH/u HHH9Ct-HtBHHHtWH+u HiHHL$XH3L\$`I[ Is(I_LKL)H H)MIH H+u HDH569LH ԣD3b3H\$UVAUAVAWH HA3HLH'DDLMtAH|$XHHu jH;͋@H;H;n u Hdy jH+u H5tINI9FuH$H;I^HH$H;I\HH$HH$HIHHHHHt H/uHAHH2xt"HAH2y u3H+u H9L:HIHHt=LHIHu*3ZHtOHIHH^u3H-'HtH.u H3MMI.u IE3HtH.u H{ILHuH-'nHL$IEHHIH;L$HLD$xH$]HD$xIHH|$xLHt H)uHH&HH3H;@H(u HfIHHHtuLIIubH+6Hm(Imu HXMI/I<H HH @3H-G&LMtI/u II,$u IHtH+u HMtI.u ILH ID3E3HtH.u HH\$pIH0A_A^A]A\_^]H\$UVWAVAWH E3HEAHHu HMLHHu HLHZy H+u HHEHH/LMtAHHu gHLHy H+u HLHH 'HH(u HgHHy HH HHu H@HHqLMtA"HHu"H+H-$u HHtz5H+u HHE3H!HHuH-#H.u=H2H.u H{H+u HlHL%H-#LH D3贍MtI.u I0H\$PIH A_A^_^]H\$WH0HA3H;9LHD$@uHAH H;u HAXI'H H;u HAXIHILLD$@MHHL$@Ap+HHHT$@H*u H`H 1HT$(HD$@E3HD$ IH\$(H H!H+Hu H3Ht E3E33H"H/u HLD$@H="MtI(u IHtH+u HLH 3AH\$P3H0_@WATH8H\$`E3Hl$hHHIHt$03Lt$(L|$ E3LHuH-!9uH?HE?HHu HHHu yHE HLHHE HGLw H_(LHz MHHuH-!nH3H;Lt&H#ȅyH- ;HtsSHHuH-  HHHHXHHuH- H.u HH/LuH H9E XH HAH9uHHtHH=@H=HLG<HHHHH OHPHtHBH HHHu%HuH HLH HuH- HHuH-t HEHHEHFHHHHF HHHHF(HHuH- LHXHp ILx(qH HAH9OuL5NMtIHB@H9HLCLHrHHH L5MtIB`H QHLHu%;HuH HLH dMuH-@HHu3>HEHHEHFHHHHF HH~(yHHu`I.H-u InHtH+u HZHtH.u HFLH DD3袇3Mt LpHHp I/u IL|$ Lt$(Ht$0Hl$hH\$`MtI,$u IHH8A\_HL$USVWATAUAVAWHl$HE3HALeH]ELeELeLeLeLeLeLHuH5 HMHHHuH5t I/u I+HHUH E3IH}H}LeH/Lu HMuH5 HNLeHHuH5e H0 LIyH5. H/u HxHFHH LMtA{HHuH5t Hs LIyH5L H/u HHFHHLMtAHHuH5{ HGH;tTH;tKHHEwLHuH5, H@HHuH5 HL3H]wH/u HIHuOHmIOH}wI9GuH;IGH<H;I|HHEwHHEwHIHHHEH}HHt H+uH]3HMgH\HMHXxlEHCHHMgtHALMtAHHtLHI5H5f3IH5Q9Ht-HeHHzuH5xI/u IH II}yH5^HIHI9D$ubLHuH5Iy؅yH5|I/u I3ukI$HUH`E3H vIHELeI,$Hu I3HuH5 H+u H3lLHuH5YHISyH5HI.yH5HI yH5n3L}LHuH5I3L;%H]wu/H qL{H{H RH5 dHI9D$H H]HtvE3LeoIHUo|LHuH5H] H@H;t'H;tIXI,$Hu!IEI]oII0HHuL]oHu,H5EIEoSI$HE׋EoH]H]H;I݅tqH%H9Et!H pH9H LMHLEHUwHEHHEHEHEHLuHFH;ucHMwH;NHAHEwHLHHAE3D$ LEHU螎LuHMHMH;u,HMwH;NBHAHEwHFH HHHHHq6,LAIpHAHEHLq IH)ugILmHt H+uOHM3HEIHEH]Ht H/u)HUE3ALuIIEH;'uM9uvzIEL0IH;uM9uv\MuI~HxpH@hHt)L9wt#3BHHLGHIA6HtH@Ht 3IL.3HHtHIAH+Lu HGM"HAIY؅I.u IE3Luu H]EoLH;IEHH]ILhHHX I.u IEoE3LuH.u HMtImu IxHMHt H)ucHEgIL}LxHI9GuI ILMuH5ZHHuH56H@HL8LHuH5 zIyH5HIHLHuH5#H/u HI/u IrIHHuH5I.u IAHH}L}LeLm?HEHEvtMxjH; uH HQuH HH H I}%IHL 4LDH+AHH5MtImu IHMIHt H)umI/u I^HtH/u HJHMHELmH}L}LeHEHt H)uMtI.u I LH _vD3ezHu3MtI,$u IMtI/u IHtH/u HMtImu IHtH.u HHtH+u HuHHĸA_A^A]A\_^[]H\$Hl$VWAVH0HMHHHHL$ H HHT$(E3IHT$ H.Hu HHu A~H/HHuHWHHuHtAkH~3L;5ϋ@L;5L;5 u IuHtAn~HHu'AL iH Zs3xHu#HN H)uHn H+u HH\$XHl$`H0A^_^@SVWAVHxHH3HD$`L5xHHL$@3HT$HHT$8LD$PIIH LL$XE3Lt$8hI.Hu InHl$pHuH- r2H+u HDLHuH-Z sHGHHLMtA#HHtGH\E3A t$ HgHHt#H+u HHIHHu"I.sH- u IHtWFI.u I{H.u HlH3RuU}HtJH-y sH+u H5HtH.u H!LH _D3}vH+u Ho83Hl$pHL$`H3pHxA^_^[LSATHHH3H$E3IkIsHI{AMsEHL$`H M{EHT$PLd$XHAH9 Ld$@Ld$HuH=HtHH.@H%HLCHHFHHH H=HtHB4H %He HHu%HuH {H\LH 8L$HuH- n HMXLHuH- n M0HD$HHHuH- n cHEHHLMtAcLHuH-\ n %HsAAH9Gu"HwHHGHHHL)9uIHD$PIHD$p3H$Ht$hLl$xH$L$LHuH- n HH HT$hHHIGAL+MHHHH$H?HL !HHtH.u H2Imu I"H+Mu HI.Ld$Hu II/Mu IH/Mu HHuH-n *H+E3A Hl$XHDd$ HHuH-o HD$PHL$`@I0+HHu o DHHpLHu o &H.u H/H/u H H 9IH\$@MIHAH9uH5HtHH-[@H-RHLEUHHHHH H5HtHBH HHHu%HuH HLH HHuH-p HL$`HHALMtAMLHu|p H-AH.u HHtH/u HMtImu IHL$HHt H)uMtI.u IMHH9Fu&H~HHFHHHHmusIHD$PH$H$HHH$HH$H?AL+L$L E3H7LHtH/u HI.u IH.u HMuH-p 7L;=t]HIwuJH-p I/u IHD$@H tHt$XLDHD$@3oH\$@HtHt$XMH.u HRL$L$L$H$H$H$HtH+u HIH$H3HA\[H\$Hl$ VWAVHPH3HE3HHHGLMtAL|$pHHuH-s H;tHH8u s bHDHt s AH+u H:HHT$@HE3H IHD$HH|$@H/Hu HHuH-u H;tH?Hu u HEHHLMtAHHuu }LNL; t2H;5t)H 0LamMIHH u >DE0HD$0ULHHD$ D$0D$4 D|$8%-LHu[t H+H--u HHtH.u HMtI.u ILH ؃D3&m3DH+u HH.uHI IHHIIIHu IqHL|$pL\$PI[0Ik8IA^_^H\$Hl$VWAVH 3HڋH^HuL5R 6H;!LHH;I; uHLЅyL5 HHI;u(H mHV}H L5 HHHuL5 HLHy MH+u H6HHHuL5N 5HHLHHHu6 H+L5u HMH ؀D3>kHu!H+u HHH.u HH\$@HHl$HH A^_^H\$ UWAWH0HAHHHLMtAE3Ht$XLt$`HHH;KAA@H;:AH;% u Hy$H-.` H+HsH+u HttBHHHtWH+u HHHL$XH3肻L\$`I[ Is(I_LKLiH H?MIH *H+u Hj H5LH E}D3f3H\$Hl$ WAVAWH`HVH3HD$PE3HH qEHAH9uHHtHH=@H=HLGHH&HHH HHtHBH HEHHu%HuH [H<LH H$HuH-4 HcU0AD$(E3HD$ uHHHu 4 H+u HAHELHHLMtAAHHuH-:5 \HGH;5u-HHH/u HHFH;ubHHH H;u HAXH'H H;u HAXHHHHHuH-5 H `H;u HAXH'H iH;u HAXHHH)HHtVHbHHD$@H\$8H|$HdHDdHOD LCHLAHL$8+HHuJ5 H-H+u HHtH/u HLH yD3dMu#0H+u HzH/u HkLI.u IYH$IHL$PH3ѷL\$`I[0Ik8IA_A^_@SUVWAVH`HH3HD$XIIL5HIHL$@HT$HE3LD$PHT$8IIH PLt$8I.Hu IHu H/u HH;t tHEHHLMtAKHu @]0E3H?HFHHu 3H;ϋ@H;H; u HxIH+u HujHAHHHu Hy!H+ H-HHyH+u H7tH HT$0HHE3H|$(IHD$0H !HHt E3E33HH+u H H-LH #vD3)aHtH.u HHL$XH3!H`A^_^][LUAVIkHHXH3HEH zE3I[AIsI{ HAH9McMkLM{EHT$8Lt$0Lt$@Lt$PLt$`uH=HtHH5@H5HLFgHHHHH BH=CHtHBH HHHu%HuH *H LH Hu B IHy B H/u H=Iz 4H5HEHHxH1HuHtH;u HIHuHt"H;tHHHFHEH:HE LuLuLuH IIYLHHu DcH HAH9uH=HtHH5@H5HLFHHuHHH ҾH=ӾHtHBcH THHHu%>HuH HLH gHu EI9]v IEL8I.3fHHtHIH.Lu HMu ESIHHD$(LHHu E.H/u HeI/Iu ISID$MHILMtARHHuHD$(HD$@HI9MILMHqH 3LSIEHHHD$ LHuM0HHLd$ L+fffJ!HHIHHuLd$(Mt=I9HHt,I/u IrE3HHDHLHHT$(HT$@HLl$0L%jHtH/u H&Lt$(IMtI/u I LuMHtH+u HHILmH]HIM`H;twHt HBt'0uRHmIM`HH;t?Ht HBtuHIHMH D3[LMILD$(HUA H|$(yL%QIHIH *Lt$XHAH9uHHtHL=@L=IMGOHHݽHHH JHKHtHBH IHHu%HuH HMH LHHLHu)L%kMLt$HLt$8Lt$()LL;="MLD-OLl$`IEH(u IHIHEHjHELmYMEHMЃI%DȺLHu)L%MLt$HLt$8Lt$(LImu IoHAH9Cu(HsHHCHt$XHHHM),$u7MWHuLuEHD$xLHH2HD$ HL$XHLD$ LLd$`MLt$HKLt$8MLt$(Ht(H)Ld$xLd$`MuLd$xLd$`Ld$ HtH+u HMtI/u IsHL$`HH)UHHUID$JAMM+HHHD$8HEHrID$ HIHL}H?L LHtH.u HI/u II,$u IH+u HML%KLt$(Lt$8Lt$HLIExHL0Ht2H;tHCHD$ HL{(MtIH+u HHILt$ MLL$(ILD$8HT$H6y)IM`HL$hIMhHL$pIMpHL$xMu`MuhMupHD$HHD$hHD$8HD$pHD$(HD$xH/u HIExHHHt H)uHL$ Ht H)uMtI/u ILL$xILD$pHT$h0LmH]L}IExHUHHHt H)uEHMHt H)u0HMHH)ujImu IH/u HHMHt H)uH/Mu HHMIHt H)uIHEHUH@xHHHt H)uHMHt H)uuHMHt H)u`H )LjHH PH+u H)H/u HHMIMHt H)uHMHt H)uHMLl$0Ld$@Ht$PHt*H)Ll$0Ld$@Ht$PuLl$0Ld$@Ht$PLH HAH9;uH:HtHH5@H5HLFHHvHHH HHtHBdH UHHHu%?HuH HLH hHu P>Ll$8MIHy PH+u HH ѶHAH9^uH]HtHH51@H5(HLFHHHHH HHtHBwH hHHHu%RHuH HLH {HtVH7IHH9Cu>HHt.H+u HH;=ItqHԸHtu^RL%HtH/u HMtI/u I|HtH+u HhMH D3RLHL$0L$L$L$H$8H$0H$ Ht H)u HL$@Ht H)uHD$PHtH(u HIHMH3[HA^]@UVAUHH`H3H|$XDHHu8Hu(HHu0HHHHE8HGLd$PDL|$@DLMtAyH$Lt$HHE(Hu  HRAHcHE0Hu HU(H*u HHU0H;΋Hu(H;H; u H؅y HU0H*u HHu0HGHHLMtAHE0HHu *HH9AuGHHM(HU0H*u H)HBHM(AHu0HE0Hu#FHE(HuHU(H*u HHU0HM8AHu(HE(Hu HU0H*u HHM8HE(Hu0HE8H)uwHu(HGHHLMtAvHE(Hu H\AHmHE0Hu HU(H*u HHM0Hu(؅y HU0H*u HHu0%HGHHLMtAHE0LHu bHIE3AHu0IΉt$ HE0HHu M)H@H9AuLHHM(HU0H*u H(Le(E3HBIE3Hu0Hu(My*HM0\HE(HuMIH I9D$u I$I IHE(Hu wHHM(AwHE0Hu NHU(H*u HaHU0HM8AHu(:HE(Hu HU0H*u H$HM8HE(Hu0HE8H)uHE3AHu(Ỉt$ HE(Hu HU(IPHE0Hu HU(H*u HL}0Hu(I.u IHu0H0E3A<t$ IIHE0HHu ,HCH9AuIHHM(HU0H*u H+Lm(E3HEIE3Hu0Hu(y'HM0bHE(HuHHI9Eu IEI I HE(Hu HHM(AHE0Hu XHU(H*u HkHU0HM8AHu(DHE(Hu HU0H*u H.HM8HE(Hu0HE8H)uHE3A<Hu(I͉t$ HE(Hu HU(IZHE0Hu HU(H*u HIHu(L}0H+uHu0HE3E3Iy HHI9GuII IHE0Hu HHHM0AHE(Hu HU0H*u HHU(HM8AHu0HE0Hu HU(H*u HHM8HE0Hu(HE8H)uHu0HGHHhLMtAHE0Hu @HAHHE(Hu HU0H*u H*HM(Hu0=؅y HU(H*u HHu(LHGHHLMtAHE(HHHH9Au HHM0HE0HtiHU(H*u HHHM0AHu(WHE(Ht3HU0H*u HKHU(HM8AHu0$HE0HuVH=OHU(HtH*u HHU0HtH*u HLH VD3KHHU8AHU(H*u H»HM8HE0Hu(HE8H)uHu0HE8HHU8HLt$HH|$XH$HtH*u HnMtI/u IZL|$@MtI,$u I@Ld$PMtImu I&HH`A]^]H\$UVWATAUAVAWH HHH E3L=E3H5L%HH3HHP(HEHGHWpHtHHw HW@HWHI$LgPHWXHW8L`IHtHH_hHWxHHHHH KEzH HH H/u H߹MH-LH TD3,F3MtI/u IMtImu IMtI.u I}H\$`HH A_A^A]A\_^]HHUH HHHHG0HELHHLMtA1HHu  HHKHPH;tEu3H+u HXH*E3H Hu H-LHEHLMtAHHu AIHHHu "H.u H'H?y dH+u HHEHHLMtAHHu HHHHu H+u HH ƷHHHu _H.u HdLMtAtHHu cHHHu tH+u HHHEHHu H.u HH HHHu H+u HL3IIMNL; ݴt2L;5t)H SLBMIHH UIHEHHLMtAdHHu  SHyHHu& H.H-9u HH%OH.u HH HH;tH;t H[ HزHHu$ H-H+HH+HyH\$UVWATAUAVAWHl$HH=H3HE3HT$0LHEHHD$P3HD$X3HEH̟E3HL$@E3IMH|$HHPLuH;CY5IHtH5 H ۣHAgH9țuL5ǛMtIHk@HbHLCLHHHH L5MtIByH jHLHu%THuH HLH }MMuH5. HFHHLMtAHHuH5 HI9Fu"I~IIFLHHI/u3HH}HH]H?HUHAEE3L+IL nLHtH/u H73H+u H&I.u IMuH5; %HT$0IHLHu  I/u IϲHNE3H\$@uLHuH5 HHUH ^E3IH]H}cH+Hu HiHu ]HFHHLMtA`LHu )WLuIL}EHEHHu I/H5%HHUHFLIHHH}HF HH *LeI/Hu IH/u HI,$u IwH.u HhHuH5 vHD$@`H9uHHtHH5T@H5KHLFHH$HHH 9H:HtHBH HCHHu%HuH YH:LH HHuH5 HޯH9Cu"H{HHCHHHH*u[3HHUHEHHH}HAL+H?L E3HAHHtH/u H H+u HHuH5 E3E33HH.u HůH5 HNbHHuH5 IEHUH RE3E3L}IH]LmHImHu IMHuH5q [HE3AH|$HHD|$ HuH59 #HHELu HtH5 I؃uHtH5 HF(DËHLHAыHtH5 HHuH5 tH E3AH\$PID|$ HHuH5O 9HH)LHu H/u HW3HEEHHuH5 HHUHCLIHH xLu^I.Lu ItE3H+u HbMuH5 pII`HHHu- I/H5UCIHI/u IHFHHH\$XLMtAHHuH5 HDy pH/u HEHFHHLMtAHHuH5 qHHaHH H5YH/u HMtI.u IMtI,$u IHMHt H)uܫHD$@H @GLd$XLLmDH}3HD$@HD$PHD$PHD$HHD$H 8Ht$H3HtK:H/u HH+LuHnLI$ILmHt$HH}H/u HFHtH.u H2MtImu IHL$PHt H)uMtI,$u IHD$@HtH(u H٪HHMH3ZH$PHA_A^A]A\_^]LIKAUAWHHE3HE3H II[EIsHI{AMcEISISMsEL$ICH+Hu HH$HuH-:l HCHHH$LMtAHHuH-m H;5çL Mu!H ZHH m LFM;tzIXHt#HPIH~9HL9tYHHH;|"IMtHI;t7HuL; 0t)H H(MIM@H wm H|Ht m fH.u HΨH$H;5Ϧt$H&HnuH-n u$L$H$HDŽ$HHE(LHALHuH-n )HEMH߹HLMtAMHHuH-Fo H$y o zH.u H IHHCHԴLMtAݧHHuH-p iH 5HT$8E3Lt$8IH\$@[I.Hu IaH+u HRHuH-vp H UIHAH9'uH=&HtHH-@H-HLE|HH HHH ߎH=HtHBH H)HHu%ӠHuH ?H LH HH$HHALMtAH$HHu p LHH9Gu%H_HHGHHHH)uIHH\$HHHl$PH?HT$HHAL+E3L HLHtH+u HHmu HH/u HIMtIHHHu~p MH.H-u HaMtI,$u ILHtH/u H8MtI.u I$H$H @LD3x1HtP?H.u HI,$u II.ILuФIMH$H/u HLt$hLd$pH|$xH$H$H$MtI/u IxIHĘA_A]H\$WH0HAHHLMtAYHt$HHHto3H;+@3H;3H;  u Hy H+u HѣtNHuHt6H5 u!HHHHt$HH\$PH0_HHT$ H @E3IH|$ HD$(7H/Hu H=HuH5a 6H{E3H_HHuA H+H5/u HLH >D3P/3Ht$HH\$PH0_H+u HHHt$HH\$PH0_LATAUHH{H3H$HISE3Is MsHIKE3H eIM{ELd$@ELd$8McLHtH.u HH$H$H$MuH-*H L|$@HAH9uH=HtHH@H{HLC.HHHHH H=HtHBH HHHu%HuH HҬLH HuH-b<HcV0AD$(E3HD$ HHHu H/u HߠH Hl$8HAH9uHߋHtHH=S@H=JHLGHHHHH HHtHBH HHHu%tHuH HLH HuH-Q+HcV4AD$(E3HD$ HHuH-H+u HʟIGLH;uIIHEH;ucHEHH H;u HAXI'H H;u HAXIHIUHHuH-~XH 5H;u HAXH'H >H;u HAXHHWHHHHFH;/uHLFH ֝H;u HAXH'H ߝH;u HAXHHHLHtpH؞IHD$`HD$pH|$XH\$hLt$x*HD|*HD q*IND LGHHKALHL$XHHuhH/H-Ou HHtH+u HMtI.u ILt$8H NL|$@LD3>*MtD3H/u HH+u HI.u ILLI/u IL$H$H$H$H$MtI.u IIL$MtImu I,IH$H3}HĨA]A\@UAVHxHH3HD$PHA3HDDH$HH|$pLL|$`DMtAҜH$HLd$hHuL%_HHT$(H mE3IHt$(LHl$0=H.Hu HCHuL%g`JHGLH;_uHHCH;Ou_HH H;u HAXH'H H;u HAXHHHHHuL%aH H;u HAXH'H H;u HAXHHHhHHtVHHHD$@H|$8H\$HZ'HDO'HKD LGHLAHL$8jHHuJH/aL%2u HHtH+u HMH QKD3?'Mt2!H/u HH+u HHI/u IL|$`Ld$hH|$pH$H$MtI.u IeHHL$PH3zHxA^]@SUVWATAUAVAWHHH3HD$pL=.E3L$MH$HLl$(E3IAHL$XH kHT$`HT$PLD$hIL|$PI/Hu IHu IoH.u HHwuHt J<Ỉs0Pu{Ht Ks4IMNL; stOL;5:tFH L%MIH?H vH5/LI.IHK8H)uҘLs8L9kunH HT$8HE3Ll$0IHD$8H 趹HHu OUE3E33HH+u HdO+IALs8H.Inxt5HAISyH5FQM AI.u IHC8HL$(H;AHDHHHD$(HHt{HL$(H)uH oHT$HLl$(E3Ll$@IH|$HH 莸H/Hu H\IHt E3E33HcH+u H4RH5XHL$(Ht H)uHtH/u HLH FD3Z#AHL$pH3cwHĈA_A^A]A\_^][@SUVAUAVAWHxH{H3HD$`HHHT$ L3HL$0H gE3HT$8IHT$0DD<HMtI/u I=H$Ld$pHuL%THL؃u*HtL%&AN~;ˋt;ˋtH ˄LHAH9uHHtHH5@H5HLFHHHHH =H>HtHBnH _H蟷HHu%IHuH HLH rHuL%&lHHt-IGIHLMtAߔLHuJH+L%϶u HHtH.u HMI.IHH9Cu$LcHHCHI$HH)u2HHD$ HT$@HD$HHHLd$@HHt$PH?AL+Lt$XL E3H LMtI,$u IԓH.u HœI.u IH+u HMuL%˵7L;=tIHdI7H.u H*H/u HH;$tBHH9Ct5HH[LHH+u HЈMLt$8I.u IL$H$H$H$H$MtI,$u I|L$MtImu I_IHL$pH3hHĨA_A]LKL̚H HMIH H+u HH-2Lt$8H f6LD3YM'LAVHHlH3H$E3IkHIsHM{3E3H;53H;53H;5 u HwH$H$yH-zHEHHLMtA=HHuH-6HKHHuH-H+u HˆH;=ԄHHDHH/u HHHHD$HHIHD$XH\$PLCHL$HIDȺHHu$H-H H+H+u H)H HT$@Lt$8E3H|$@IH H/Hu HHuH-E3E33HH+u HH-ߧiHFH;ʄuL9vvsHFHHH;uL9vvUH^H~HXpHHhHt%L9st3HHt`LCHHA:HtHAHt 3HH23HHu3HHH/Hu HHuH-HȃH9CuKHHH+u HHE3ADt$ HHHu,H-4HHHuH/u HUH nsLHAH9luHlHtHH=@H=HLGHH#sHHH xlHylHtHB~H sHBHHu%}HuH XH9LH ~HuH-ɥSLFI@pHLHMHxHAHHHHݦHHH+u H2H/u H#WD$`LD$p}HHuH-(HHT$hHGLIHHHL|$hHG HHt$pH/Hu HHuuH-LH IHjM@H |3H+H-u HPHtH/u H<LH 0D33MtI/u IL$H$H$H$MtI.u IށHH$H$H3SbHİA^@SUVWHxHfH3HD$`H=tIH$HHL$@E3HT$HHT$8HH LD$PIH|$8HD$X0H/Hu H6Hu H+u HH؃u+{Ht ^,x 3AdA 3ҋ"HHH HNzHHu$H/H5΢HH/u H{H LHT$0HD$(E3Ht$0IH lH.Hu H:Ht E3E33HDH+u HH59LH -D3e HL$`H3s`Hx_^][H\$ UVWATAUAVAWHl$H@HdH3HE0Lip3IE3HD$8IHD$@MHD$xHHD$HHD$pHQmHUH\$0HL;uHH6mH8MHAHUqL;IXHt"L@3M~@HH9tuHHI;|)IMtHH;tSHu3H;|uIHiHPL;t9I,u,HgINHH;t  tADžIE3Hu(H "}LH$H xHIMH}HH9AuHYHqHHL)9u1~E3IH]HH}H?HUALuM+JL E3HHHtH+u H}H.u H}Hu wIuHfINHH;~ Hu HM{3L);HD$(u H8{E3Hu I.IH|$0u{HGHHLMtA{HD$PHu HHHD$8HGLMtAzHD$`Hu N LuHIHD$@IFLMtAzHHu  Hs؅y E3H.u H1zHtcHHUH%xLH E3HEH}wH/Hu HyHu H/HH\$0uHyHIE3Hu(H KxLHMH t= HAIMAHxHH9AuHYHyHHH)uQy3HH]HLu H?AL+Hu(L E3HEHH:LHtL);u HyL)?u HxMu H h3MHAH90_uH/_HtHH5@H5HLF%tHHgHHH ^H^HtHBrH gHҚHHu%|rHuH vHɃLH rHHu HtwIH9Cu!H{HHCHHHL)9uw3HH}HLmH?AL+E3L HHEHLHtH/u HwH+u HwMu ?IIHL$0HHALMtAwLHuH=H HUE3L}ILuuI/Hu Iw3I.HD$(u IvE3I/u IvE3Hu AH\$xHIwHHu ^HÛy H.u HvtHLImu IjvLmIHTIIELMtAfvHHu HD؅y {H.u HvtcI$HUHD$PE3H IHELesI,$Hu IuHu cH/ILuuIEIHІILMtAuHHuH=IHr؅y H.u H3utaI$HUH `E3ILeLurI,$Hu ItE3Hu H/ILutH}MHHHGLMtAtHHuH=ÖIH螙؅y H.u H_t3H\$`uPHpE3E3Hڌy  HHW^ȃu 3ID$IHLMtAsHHuH=I:AHHsLHuiH.H=u HsHt$(MtI/u IjsHtH.u HVsMI.I:sH.u H&sI>؅yH=AII/u IrE3ID$IHވLMtArHHu h3H; pH)urI$tOHpHUH E3IHELePpI,$Hu IUrHu IH\$HHHUHE3H |IHEH]oH+Lu HqMu IGIHWLMtAqHHuH=I3I/u IqH `3H|$pHAH9XuL5XMtITH RzCH5IzHLFlLHj`HHH WL5WMtIXkHXLIMu HT$`HnHHuH=H5pI9Fu$I^IIFLHHH.up3HH\$`HH|$hH?HT$`HAL+E3L I蚑HHtH+u HcpE3H/u HQp3I.HD$(u I;pHu ImILupHL$P3H; nIHt$(Lt\ID$IHLMtAoHHuH=>3H; mH)uoHL$PI$HT$PHL$XE3H ILd$PRmI,$Hu IWoHu`H=vHD$0H L|$pLLt$HDLl$x3HD$0HD$@HD$@HD$8HD$8uHL$83H\$0Ht@2H/ILunI$IH\$0Lt$HL|$pLl$xHL$8H)unHL$@Ht H)unMtI,$u InMtImu ItnMtI.u I`nMtI/u ILnHtH+u H8nHHM0H3NH$H@A_A^A]A\_^]H\$UVWATAVHHRH3H$33E3HH9yH)ADLHALMtAmL$HHu HHT$(HxE3H QIHD$0H\$(7kH+Lu H=mH+u H.mMt3L;=0l3L;=$k3L;=l u Im؅y$I/ H5IlI/u IlApLMtAO`HH5G FM|$PL;=^u1H ^HIH ZH5E3EE NIE3AM9oMgI<$Md$HL$ HHHH|$ Ht H)u}_H\$`HUE3H]ILmHH t7]H+Hu H=_MHHHT$ AHe_LH(H/u H_L;5 ^AAAIL;5]L;5\ u I^؅I.u I^u)I;wI/u I^Ld$ MI|Ld$ HlIID$LMtA^LHu ID$IH7nLMtAH^HHu HIH|$(H\$PI/I]  HUH]H}[H+Lu H]MuH5 LLE3II]HHu I/u Ie]H}؅yH5 H/u H7]JID$IH(nLMtA1]HHuH5*E3EE gHL$HH ZLHuH5~ H/u H\H\$@IHYHHu I/u I\H+HH|$@uk\HFHHjLMtAn\HHuH5g~E3EE HFHHlLMtA'\HH5~ M|$PL;=Yu1H ZH!H UH5}E3EE &IIwH+MgE3M$ffHL$ I;wI<$HIHHH|$ Ht H)uD[H\$`HUE3H]ILmHH pXH+Hu H[MH#HT$ AH,[LHH/u HZL;5YAAAIL;5YL;5X u IZ؅I.u IwZu+HI/u I[ZLd$ E3EAALd$ HhIID$LMtAEZLHu HID$IHiLMtAZHH   MI/H5{u IYMYLHuH5{ HL$@HiHALMtAYHEHHtiHL$@HteHALMtAQYHD$xHHt5Hu LdMLZH WHhiH WS H5 {I.u IXHtH/u HXHMHt H)uXHL$xHt H)uXLd$ L|$(E3HD$@H H|$PLLt$XDHD$@3HD$hHD$hHD$pHD$pHL$pHt$hH\$@HH|$xHUH GE3IH}LmLuHuH]L} yI.Hu IWH.u HWH/u HWHuH5y 'H|$PLH\$@Lt$XHt$hHL$pH)uWHtH.u HkWMtI.u IWWHtH/u HCWMtI/u I/WMtI,$u IWHtH+u HWIHMH37H$hHA_A^A]A\_^]HSAVHhHHHE3HpHHx LxIHHMH ceHPHPmTH.Hu HsVE3H$HuH-x H;=[UAAA@H;=?UH;==T u H+Vy {H/u HUHNE3HMHxnH khHT$0Ht$0H\$8SH.Hu HUHuH-w $H;=SHjEHBuq H fHT$@Ht$@H\$H@SH.Hu HFUHuH-jw H;=9StHEH؈u }H+u HTHHT$PH bE3MHt$PHH|$XRH.Hu HTHuH-v 7H;=RtDHDHYu1 H/H-vu HzTLH D3 LHLL|$`H$H$H$HtH+u H(TIHhA^[H\$VWAVHPHHHHL$ H bIHT$(ME3HT$ QH/Hu HSHl$xHuH5u T3H;R@3H;R3H;Q u H}Sy H+u HNSHGE3HMHxoH EdHT$0H|$0Ht$8QH/Hu HSHuH5*u H;PtHBH蘆u jHH NeHT$@H|$@Ht$HPH/Hu HRHuH5t 7H;PtHTBH,u H+H5tu HMRLH #D33HHHl$xH$HPA^_^H\$Ht$H|$ UATAUAVAWH$HH6H3Hq3H5ELHT$pDHT$@H]DH]DH]H]H]H]H]H]H\$PH\$hH\$X~ZLqOqHMLD$HIHH)u TQLD$HW3AHI@IQHL$HPHD$HH03HHD$HHeH\L`HD$pI$HHHL mHaV7Hu 8HENF 8KLHu NKHD$xHuH5r NJLHuH5r NJHHuH5mr fNJLHuH5Jr CNJLHuH5'r F!N  F" YJHD$XHHuH5q HD$xHH ?E3IHHLLHLLHvpI,$HD$8u IAOHL$xH]H)u,OI.u IOH/Lu H OI/Hu INImLu INH.Lu HNHt$8H\$XHu ,HL$@Ht$@H)uNHD$HH@HHJIHD$pHu  HjAHHENLHu IjsD$xy ;I,$u I(NHE3IH c9\$xHUHuH]KH.Lu HMH\$XMu @HD$HIHHHIXyKD$xy I,$u IM|$xHHD$HHULHuE3H@HD$8HEHH 0\:KHL$8LHt H)u9MH\$XMu I=rD$xy I,$u IL9\$xHHD$HHULHuE3H@HD$8HEHH ]JHL$8LHt H)uLH\$XMu L;%JtHZ<I2u gH.Ld$@cHUHUHuH]#JH.Lu H)LH\$XMu HD$HIHHHIPID$xy I,$u IK|$x W3H8(FLHu  H gH0H_MIEIHH0H R;FH/LLu HQHMu  II)HHuH5Xj bI,$u IHH jHUXE3H\$XIH]PLH}XiH/Hu HGHu  1HidE3HL$pA<Hu\$ cLHu  H}FI9EuUI9]|EIEIImu IbGH dE3A<\$ HaLHu6 4I,\ IDHHuH5Bi 7IHLDLHu  MH/u HFImHu IFIL$H; ELH; EICHD$XHu  I,$u IqFLd$XIID$HLHtrIHD$8HHtWIHHt3H(u$FH DHfWAH w@ ? H|$8I,$u IELY?uHuH5g IL$Ht=~'H pDHVAH ? {Hxu gMl$IEtTHIEI|$ HI,$u I8EHYaE3HL$pLmLH}H]ELHu: tHLHu  ID$HxHHu Iiy3 HD$XI,$u IDtiHuHALHu  HMAHHu HD$XcH.HLeuMDHMH}H)u 9DLeHT`E3E3I\y  LHD$HHfVHHHALMtADHHu >HHUHNE3H XIHEHuAH.Hu HCH.u H|CHu Hhy E3RH/u HCCHHt$HHZHNHALMtA5CLHu $ lHNH0QHALMtABHD$XHHu % HD$HHMHHHALMtABLHu & WWB=LHu " KHRHIFMIHHEHHXIF HHFPLIF(HH)MHIF0HH \5L?I,$Hu IAH.u HAI/u IAI.u IAHu " H}W3HP@@<HHu ) HQHHHGLIHH 3LH>H/Hu H@Hu ) `HuLl$HHQIMHALMtA@HHu + HHU`Ld$@IH aOME3Hu`Lehe>H.Hu Hk@H.Lu HY@Hu + Hbey + E3, H/u H @HI}HUpE3H}pMLexHH R=HHtH/u H?Hu , : HHuIL<Hu -  HUIHHE<HHu . HH<LHu . E3] H/u HQ?L;5Z=HtrH/Iru_3ɻ. DD HUI3<LHu 0 r L;5 =t%H.Iru3ɻ0 DD I,$Lt$@u I>W3HhX9HHu 3 HNH`HFLIHHEH H.H`+<H.HLu H>>LMu 3 HMZAHL$pMLt$PT>LHu 5 k Icy35 DD I.u I=Ht$@nHYHT$`H -E3IHD$`HuMHt$pH\$X^LHAHI=LHI.u IJ=IbbI/u I)=L HD$HHT$xE3ILpIHpHD$@Ht$xHEHH tO:HHtH.u H<LHH JHE3LIHt:LMtI.u Iu<H/u Hf<MLt$@IIt9HHI/u I1<HL$hLH|$hHt H)u<HL$PE3HJ<HH1HaH/u H;Lt$PHt$@IH79HHH;9tH{+HSocHD$pHHH|$@H(uo;HWHH B+E3IHHZ\HImHD$PH|$hHt$PHH8H'ImHHD$Pu:HD$HHILxI7HHH KHE3LIH8HMtI/u I:H.Lu Hr:HtsH;=v8tH=*HntJHEHH|$@H(Ld$PIu-:j= E3> = xB E3B aH5\B E3A C; E3; ,H5[9 E39 H5[9 E3H5[3DD6 E36 A26 fDHqUM<$H &)HLd$hE3IHHt$pLH*ZHHTHL$PAH29LHH/u H8IH]I.u I8Ht$@EHD$HHE3HIHxHHH IK6LHtH/u HL8MHI_5HHI.u I8H|$hIMt I,$u8Lt$PAIH38HHkH\RH/u H7Ld$huoAII7HH=H\!H/u Hv7HSE3HME3OHt$@IH4HHH;25tH&HjImHHH|$@u6HSHH &E3IHHWHmI/IHD$PII4HI/IHD$Puy6HD$HIHL$@HLpIHpHt$XHp3LHW3Hp 1HELH H FRHxH(JMIGIHHxH %3I/Lu I5H]MII2HEHI,$u I5Imu I5HMHHE3H |FILH23LHtH.u H35HMLH)u 5MH BHE3LIL2HMtI.u I4I/u I4LHH;=2tH$H^hthHD$pHHL$@H|$@H(Ld$P)s4J I QI M =N M R (R H5GVS E3LLT I,$H5!VHD$xuI33HD$xLeMtHT$pHT$h)HmHu H+Hu_H-M IH <HT$xHl$xH$)HmHu H+HuH-M IrLH|$8HH(HHuH-xM IBHH$H AE3IH$L$(H+Hu H*H+u H*HuH- M IHFIH|$PHH=FH|$0HHMPL=FHL$HHL9a5^CHfHHHH|$XIHT$`HL$(HH/ILHt H(uA*IHL|$@Ht H.u%*IGH )HKFH;usIWHuHHHHHHuAOHAOO_$aHtHA`HILAIAOAGHH HHHU$'H;(uAGXZ$ HI&HH?I/u IY)IFLH7ILMtAY)HHIEIH_7LMtA()LHAHH*)HHH+u H(I.Iu I(H;='AAA@MH;='H;=& u H(!H/u Hb(HL$8HN8HALMtA[(HHIEIH8LMtA*(LHAHH,(HHH/u H'I.Iu I'H;&AAA@MH;&H;% u H'#H+u Hd'HELHMXH; Z%Ht$@HJHHH 4H$E3H$IL$H$$HmHu H&H/Mu H&IHtIHD$XHHL$0H\$0H(u& Ht$@H|$0HL$HHT$`Lt$8H;Q}|HL$( H 2%HH z  I MIH-RHIM MH)u%I/Ld$Hu I%Ht$PAHH&LHuH-G L;=$AAAL;=$L;=# u I%؅ MIIH-GI/u IU%HtH+u HA%HL$HHt H)u+%MtI.u I%HtH/u H%Lt$8H|$0LH D3UHt$P7I/u I$tH#HL%#H#HL%#($L$H$H$ MtI.u Is$L$HtH.u HW$H$HtH/u H;$HL$@H$Ht H)u$MtImu I$IH$H3HA]A\LAUAWHHH3H$H9ISI[E3IkE3Is HI{HMcLIKEH UFEMsL|$(M{ICDHHuH-EN CHHT$0H 6E3IH\$0L|$8!H+Hu H #H+u H"HuH-"EN HEPHD$HHEXHD$P3HD$XH|$(L|$@HHuH-DR H !HT$HH7LHCLHHL$XH UEG H+MHu HZ"HuH-~DR <H3誸HHu Q FH.u H"HHHu P H+u H!H 9"HHHu P H.u H!HELH4HLMtA!HHuH-CT vHCH;HHH+u HX!L;%aIHDHHH!H$Ht$xH$/HD$HKD LFHLAHL$x?CLHu}T H.H-Cu H HH H;u HAXH'H H;u HAXHHHxHH T 8H.u H[ H+u HL IHHuH-bBT H@LL0H HHuH-2BU H HLHu U H+u HIH;HHuH-AU I.u IH/MHH\$(u HyHHLKL; H;kt{H LKMIHp+H V H-[AH+u HMtI.u IHD$(H LHD$(D3ZHL$(HtLH)uL$H$H$H$H$MtI,$u IL$MtImu IuIH$H3HĸA_A]H\$Hl$Ht$ WAVAWH Z>HH=(H~TH>:>HHHKH)uW3HHCC C0HC@HH03HHHHHkHEHsHH =H-/L='L57+H5BHHHH_HG3HG|GxHG8HG@HGHHG HG(HG0MtILXMtILwPHtHEHo`HtHHHwhHGpH+u HH6HHL ?H 3A ,H+u H3H\$@Hl$HHt$XH A_A^_LATAUHHkH3H$I[E3HIsH*IMsEM{HHCELd$(LMtAOH$LH$HuH58>] MHCHH+LMtAHHuH5=] Hv8HT$XH E3HD$XIH7HD$`H7HD$hLd$PLt$pH|$xLt$hHt H)urH]IHL$@LHHHHL$HIHD$8HTH HUE3H]IHu HE(LHtH+u HE3H.u HHL$83H)uHt$8MHL$`I2HD$8HHI.u IH/HL$`H\$`u|H}HT$hLHL$HHt$8HHHWHE3HL$hAD|$ sLH,HT$pHaLHI/u IHL$@ILHI,$u IH HU0E3H}0IHu8E3L}@HD$8LHtH/u HH.u H}3I/u IlE3MtXIHLHtDI.u IAH+IL|$`u H*IULHHYH=54 5 H=3 H= 3 H=3HL$83 H}Ht0HHHuE32 3Ht$8eImu IhH1E3E3AQHEy37 Ht$8tpH HUH9E3L|$xLHEH *LHu38 Ht$8E3E33IImu IE38 H\$@HELLKHL; t)H hLMIHH > \HOPH)unHL$HHD$xLH_PLIHL; wH LMIH`H ? 33HL$8H=BMtI.u IMtImu IMtI/u IHtH.u HHL$8Ht H)uMtI,$u IHD$@H ғLd$HLLt$`DHD$@3HD$hHD$hHEHEHD$pHD$pƒHL$pHH|$hH\$@Ht>0HOXH)u%Lt$`MHL$pLoXH|$hD|$PHt$PH)uHML$L$Ht H)uMtI.u IL$HtH/u HH$HtH+u HH$MtI,$u IkH$HMpH3HĸA\]H\$Hl$ VH HAHHcHLMtA1H|$8HH3H;@3H;3H; u Hy$H+sH5HH+u Ht6H%uHtsguHeHH[mME3EU DE3D;F0t3D;H HEHHu"vH5*LH D3V3H|$8H\$@Hl$HH ^AWH@HAE3HLH\$`Ht$0AH|$(HL|$XLLt$ EMtAHl$8HHuH-:H;^AAA@H;JH;8 u H.y H+u HHGHHLMtAHHuH-HHHu !H+u HH;5HHDHH.u HkH HHHuH-|H#H+u H*'HHu H@LH0!3HuH-LHIHH?HD$XM9~H YIXHHuH-H +H"HHu"H-H+u HgHtG6H+u HQAHL$XH.HHu6H-ZH.u HLH aD3w~HL$X5H.u HHL$XH\$XH)uHD$XHHL$XLH|$(Ht$0Hl$8H\$`MtI.u IHL$XLt$ Ht H)uIH@A_H\$Hl$Ht$ WAVAWH0L3ދLIHHu A H HT$ E3Lt$ IL|$(HHHMHr HHh HHMHZ HAHO HHMHA HAH6 HHMH( HAIH LMtI.u IMu A" L;=~֋΋IL;=kL;=Y u IOЅy A$tBAF@LEL= HcxHIHI;saIHEH LHt$xH)t$`HuH5- 5H;͋@H;H; u Hy 5H+u HtCIuHt+H5 5uHpHHfHGHHLMtA\HHuH5U 7HHT$8H E3IHt$8Ld$@H.Hu HH.u HHuH5 7EH y 7H+u HtHHHHGHHLMtAzHHuH5s :HIULHu :HH+u H HHT$HH E3IL$H|$HLd$PH/Hu HHuH5<=IMHCH;H$t[H;tRHH|LHuH5?H@HH$Hu%H5t?HHH$LH5INHL$ HHL$(MIHu:IFI;vH;uHHT$ HHHH:HIHHILHt H/uL;=tHpIHqHCH mL H;uKHSHuHfHHHHHuCHOCHHk9HA`IHL@A&H;/uCY IH(HHHuHH+u HIHHI,$ILuH$AHHHH;|@H;mH;Y u HOxaH+u H*u%H$HL$ HT$(@z@.H HH-I.IAH+H5u?H4A&HtgHHHuK?H5MtI.u IsH$H L$LD3oMtG6rI.u I3H4HH-*H$L$I.u IHtH+u HMtI/u IMtImu IH(t$`Ht$xHĀA_A^A]A\_][@VATAVAWHXH}H3HD$@LE3H LHHALMtA{H$HH$H|$PHuH-_NI~InHHHFHHHu:HHH HHH+fH)HHIHHuHE3HHLHH.u HH/u HIFHXH;s I\H7HHHu3HI=H/Hu HCHuH-gNHH9CHHH+u H3HD$(HD$8L|$0HHumH.NH-u HHtH+u HMI/IHHHjH-NHkHT$0HCLIHH Ht$8I/Lu I.H.u HH+u HMI>uI7ISHHuI.NH- uNICI.u IHLIHHu8H-MHtH+u HLH AD3k3H+u HdHH|$PH$H$HL$@H3ϿHXA_A^A\^H\$Hl$VWAVH`HH3HD$PH3ۋI0HHu EHEHHLMtAHHu0WW3D$(HD$HL$8HHuPH.L5u HuHtH/u HaHH+HEHHT$0HCLIHHHt$0HC HHM8HH|$8HC(HHL$@H RH.Hu HH/u HH+u HHu$L5MH D3i3HHL$PH3 L\$`I[(Ik0IA^_^LUAWIhHH5H3HE0H_E3I[IsAI{HMcL%?MkLH )MsLL}L}HAH9L}L}L|$PL|$XL|$@Ld$8uHrHtHH=@H=HLG(HHHHH +H,HtHBH HHHu%HuH HLH )$PH)$@HuH5I H`H9Cu#HsHHCHHHH*uIHHuHLuH?HUHAL+E3L HHHtH.u HH+Mu HHuH5; HHUHlHH SLE3HEH}H/Hu H%H/u HHuH5: IEHHIH]LMtAHHuH5 HHUH E3LH]H}H+LHEu H3H+Ht$Hu HmHMuH5% E3LuHILHuH5b I@y  I.u I IEHUHEE3H IHELmImHHD$`u IHuH5n HMH; H]t!He@ uH5< H \HUE3HuIH]fLHuH5g H E3At$ IHHu  I.u IHuHt  H+u HHuH HD$hLHuH5b HLuD98IEIHLMtAHHuH5y HHUH E3IH}LuH/Hu HH/u HE3Ll$HHuH5 Hy H+u HHHuH5U HHHpILp HD$`HHC(\HD$HHHu \H+u H6H E3E3HH =H/u HH57E3HMHHuH5HL$`HD$PHAH;t[H;tRHD$xHD$HHHuH5[H@LLEMu-H5HIHT$xHHL$HMLmHT$x5= L|$PHt$8Lt$XL}MuuIWLuIE HD$@LH HHUIEHMML+HHHHLe H?L lLMtI.u I}I,$u Im3ImDu IXE3H+Ll$@u HAMkHMHHALMtA:HH%H@u2HHHuLHH.uLHt$PBLd$8HuH5yE3HMHHHHI$L` HLx(L($@($PL$`L$hH$xH$MtI,$u IHML$pHt H)uHtH+u HHMH$Ht H)uHMHt H)utHL$PHt H)u^HD$XHtH(u HEIHM0H3ƫHĈA_]LUVHHH3H$3I[I{HMcMkDMsLHL$`HIM{DHl$pH$H$Hl$xH$H$Hl$XHl$POHD$HHuH5D HH$H _E3IHD$0H$L$'H+Lu H-LMu  INH; 6H; .|IHHu ) I.u IHGHLHLHHAHD$XHHHALHHHt=H(u HcH 4HAH H5oyH5UH/u H H\$`H|$HIHHD$pHH$LHl$XHHL$LMHH5 L< H/u HH)uIH5INHt=~'H AHAH Hx_MfI$t-HI$Iv HM~(II.IHLHu 3IFHpHt$XHHu IFLxIMuH/LHD$0u HHCHHIGIHLMtALHu HlAI}LHu HlI.u II)؅yH5, HI/u ILt$0tIHAEȉl$ IHuH5 1IHD$0LH)uHE3Al$ IHuH5HHD$xHlyH5qH\$`<HCHHLMtA/LHuH5(zHILHuH5HHl$P`I/u IIH&LHu HI.u IH.Mu HpHE3HL$xAl$ RLHu Ht$0IHHHuH5PHI/u IH.HH|$0uHLH HAH9 udH=HtHH5H ܳHHH¾HH *H LH HKHLCHHtHHH H=HtHBbH SHHHu%=HuH HLH fH\$`HHuH5wH)AAH9Gu#LgHHGHI$HL)1uHWL$I$jHD$PLHuH5H H$HHI@ML+HHHH$H?HL MLMtI,$u IHL$PLH)uH/Hl$Pu HHMuH5bII׿HHuH5)I.u IH H$E3Hl$XIH$H$@HL$`HH)uDH/u H5Hu LCHH$IxpHWH9oMH Lt$0LI(HHILGHHAH+Hu HH!H HT$hE3Hl$`IHt$hH.HHu HwLHuH5HH$HkyH5pJL;-9t$HIuH5=HdE3Al$ HLHVH؃HI.H5Hl$PuIHl$PMtI,$u ILt$XMtI.u IfMtI/u IRHtH/u H>HL$PHH) I.u I IHtxILH)uLt$0L;-t!HIuH5HIEI[H tHM@H Lt$0H5H5Lt$0LH sD3KH$L$L$H$H$0MtI.u I$HL$pL$Ht H)uH$Ht H)uH$Ht H)uԾMtImu IHL$xL$Ht H)uH$Ht H)uHtH.u HtHH$H3H^]Hl$ VWAVH`H,H3HD$PH=3HDH ~HALMtA+H$HL$HuL=GHHT$(H E3IH|$(Ht$0H/Hu HH/u HHuL=GHCLH;~@HAdA 3ҋHHtNHHHD$@H\$8H|$H8IHWHL$8LCHƒLºDTHHH+IL=u HݼHtH/u HɼMH ?qD3%IMu~H H;u HAXH'H H;u HAXHHHeHHL=IH+u HDH/u H5HI.u I#L$HH$HL$PH3蓜H$H`A^_^H\$Hl$ VWAVHPH3HE3HHHGLMtAֻL|$pHHuH- /H;5tHتH8u HDHt H.u H:HHT$@HE3H IHD$HH|$@H/Hu HHuH- ~H;5tH?Hu HEHHLMtAHHu HjuHt H+u HOHEHHLMtARHHu |LKL; Pt2H;t)H ƸLEMIHH S =UHD$0LHD$ DD$0HD$4D|$8LHu[ H.H-u HHtH+u HuMtI.u IaLH _D3E3DH.u H:H+uH+I IHHIIIHu IHL|$pL\$PI[0Ik8IA^_^H\$Hl$VWAVH 3HDHHuH5j H;LLH;I; uH~LwЅyH5k t}HHI;u(H HUH HH5Ql _H_HHuH50l >HLI#l HGHHSLMtAԷHHuH5n H; H)u{tkHGHHLMtAzHHuH5so H LIfyo MH+u H IcHHuH5$p 5HLHHHu6p H+H5u HLH [D3CMu!H+u HHI.u I|H\$@HHl$HH A^_^HT$SUVATAUAVAWH@HAE3H~HEEAELMtA@H$HHuH-1 5H;5AAA@H;5H;5ڴ u Hеy H.u HH$tCHuHt+H- uHiHH_OЯHHuH-i mHEHHLMtA2LHu IHHHu H.u H˴I.u IHE3ADd$ H/HHuH- H+u HwHLMH;u HnHVHGH;FuL9gu HOH7H;H+H;?uOWf.zAHNHHuH-' +HȅyH- HMHHu HH$O'HHuH- HEHT$0H fE3IHl$0H|$8AHmHu HFHuH-j NAHHiLHur H.H-9u HMtI.u IHtH+u HֲMtI/u I²LH XD3?MuGUH+u HH.u HIMIHuIHLHu HbImu IRIH$H@A_A^A]A\^][LWAWHH H3H$E3I[IkHIsAMcEMkEMsHT$xHL$pL|$HL|$`L|$XL|$PL|$@DBAϸARD+A#AH HHuH- HEHHILMtALHu HE3AD|$ ILHu I.u I IH&LHu H/u HݰI,$u IͰH MLt$HLt$0MHAH9uH=HtHHv@HmHLCHHHHH H=HtHB|H mHHHu%WHuH îHLH HuH-4 ZHMHD$PHHu HEHHLMtAܯHD$@HHu iHL$pHٻHALMtALHu 0HAH9Gu#LgHHGHI$HL)1u1MHD$xWH$$L$H$H$۩HHuCH-HD$0MHL$@HD$HHH\$P L|$`L|$XHL$@H{HH$HFJALM+HH HL$HF HIHH$H?HL LMtI,$u I/H+Mu HHmL|$Pu HImL|$@u IH.Mu HH/Iu HϭMuH- HE3ALt$`ID|$ LHuH- HT$HIHHuH- >I.u IHH aHH\$XMHAH9uH5HtHH@H}HLCHHHHH SH5THtHBH H-HHu%צHuH CH$LH HHuH- HL$pHHALMtAxHHuH-q HH9Fu%LvHHFHIHH/u IHD$xH$H$HHL$HH$H?AL+H$L E3HHMtI.u IH+Mu HH.u HvIHuH- H;=fH)H H-]H/u HMtI.u I MtI,$u IHL$PHt H)uߪHL$@Ht H)uɪMtImu IHtH.u HH|$XH $PHt$`LLd$HD36Mt"Ht$`LLd$HHI,$u IVL$L$L$H$H$0HtH.u HH$HtH/u HIH$H3{HA__H\$VWATAVAWHPHH3HD$@E3LH ӘEAHAH9ruH5qHtHH=M@H=DHLGHHHHH *H5+HtHBsH dHHHu%NHuH HLH wH$HuL5# (IFIHLMtAHHtHHAHHHu)L5 H.u HHH.u HnH/u H_IFLHILMtA_HHuL5X ]HCH;Su.HHH+u HHEH;1ucHEHH ԦH;u HAXH'H ݦH;u HAXHHHHHuL5 H }H;u HAXH'H H;u HAXHHHFHHtVHHHD$0H|$(H\$883HD-3HKD LGHLAHL$(HHHuJL5 H/u HզHtH+u HMH KD33Mu#0H/u HH+u HLI/u IvH$IHL$@H3H$HPA_A^A\_^H\$Hl$Ht$ WAVAWH HH=Й~FHkHHHKH)uWHHCHH03HHHHHsHH H-L=gL5@H5QKHHH?H_HG3HG|GxHG8HG@HGHHG HG(HG0MtILXMtILwPHtHEHo`HtHHHwhHGpƤH+u HH6HHL H "*3A51H+u H3H\$@Hl$HHt$XH A_A^_H\$Hl$ VWAVHPH3HzE3HHHGLMtAvL|$pHHuH-j'/H;59tHxHu 'HD Ht 'H.u HڣHHT$@H3E3H aIHD$HH|$@H/Hu HHuH-)~H;5tHߒH'u )HEHH#LMtA\HHu +H u5Ht +H+u HHEHH)LMtAHHu,|LKL; t2H;t)H fL.MIHH ,=UHD$0LHD$ DD$0HD$4D|$8\LHu[(H.H-du H)HtH+u HMtI.u ILH gJD3].3DH.u HڡH+uHˡI IHHIIIHu IHL|$pL\$PI[0Ik8IA^_^H\$Hl$VWAVH 3HDHHuH5H;PLGLH;0I; uHLЅyH5*t}HGHI;u(H H>H H5_HHHuH5>HgLIÛHGHHLMtAtHHuH5mH; <H)utkHGHHLMtAHHuH5HLIyMH+u HIHHuH55HLH[HHu6H+H5u HXLH FD3+Mu!H+u H.HI.u IH\$@HHl$HH A^_^HT$SUVATAUAVAWH@HAE3HHEEAELMtAH$HHuH-5H;5AAA@H;5H;5z u Hpy H.u HAH$tCH]uJHt+H-FuH HHOpHHuH- mHEHHLMtAҝLHu IHHHu H.u HkI.u I\HE3ADd$ HϹHHuH-`H+u HH8LMH;u HHVHGH;uL9gu HH7HۛH+H;ߛuOWf.zAHHHuH-Ǿ+HȅyH-HMHHu HQH$OǖHHuH-`HEHT$0H E3IHl$0H|$8HmHu HHuH- NAHH LHurH.H-ٽu HMtI.u IHtH+u HvMtI/u IbLH XCD3'MuGUH+u H8H.u H)IMIHuIHLHu HImu IIH$H@A_A^A]A\^][LWAWHHH3H$E3I[IkHIsAMcEMkEMsHT$xHL$pL|$HL|$`L|$XL|$PL|$@DBAϸARD+A#ȍIA @HHuH-UHEHHLMtALHu H=E3AD|$ IWLHu I.u IIH–LHu H/u HyI,$u IiH MLt$HLt$0MHAH9_uH=^HtHH@H HLCHH*HHH H=HtHBH HIHHu%HuH _H@LH HuH-к ZHMDHD$PHHu !HEHH?LMtAxHD$@HHu !iHL$pHuHALMtA:LHu !0HQAH9Gu#LgHHGHI$HL)1u͗MHD$xWH$$L$H$H$wHHuCH-HD$0MHL$@HD$HHH\$P L|$`L|$XHL$@H{HH$HFJALM+HH wH(L$HF HIHH$H?HL LMtI,$u I˖H+Mu HHmL|$Pu HImL|$@u IH.Mu H}H/Iu HkMuH- HE3ALt$`ID|$ 3LHuH-T#HT$HI4HHuH--#>I.u IH HH\$XMHAH9uH5HtHH"@HHLCHHHHH ǁH5ȁHtHBH HɷHHu%sHuH ߓHLH HHuH-M$HL$pHOHALMtAHHuH- $H$H9Fu%LvHHFHIHH/uIHD$xH$H$HHL$HH$H?AL+H$L E3HjHMtI.u I3H+Mu H!H.u HIHuH-3$H;=HŃH$H-H/u HMtI.u IMtI,$u IHL$PHt H)u{HL$@Ht H)ueMtImu IPHtH.u H<H|$XH h;Ht$`LLd$HD3Mt"Ht$`LLd$HHI,$u IL$L$L$H$H$0HtH.u HH$HtH/u HIH$H3sHA__H\$VWATAVAWHPHHwH3HD$@E3LH cEAHAH9}uH5}HtHH=ݘ@H=ԘHLGHHHHH }H5}HtHBH H4HHu%ދHuH JH+LH H$HuL5(IFIHCLMtA|HHtHHѴHHHu)L5_H.u HHH.u HH/u HIFLHIILMtAHHuL5]HCH;u.HHH+u HHEH;ucHEHH dH;u HAXH'H mH;u HAXHHH-HHuL5VH H;u HAXH'H H;u HAXHH/H֌HHtVHHHD$0H|$(H\$8HDHKD LGHLAHL$(رHHuJL5H/u HeHtH+u HQMH 7D3Mu#0H/u H'H+u HLI/u IH$IHL$@H3~oH$HPA_A^A\_^H\$Hl$ VH HAHHHLMtAH|$8HH3H;@3H;3H;n u Hdy$H+H5nH/H+u Ht6H?u,HtKuHHHQE3Ƀt3;F0ȞHEʌHHu"H5֯LH 9D33H|$8H\$@Hl$HH ^H\$UVWATAUAVAWHl$HH=rH3HEE3DELuMLuLH*vRIO LALIw H vAHLh ALE3H֋HEHHuH=yH;5ЊtH'|Houy{HuMHHuHLAHHu,L 23A H {H=}pHVH;t>H{Hu$}H.H=N;H-HL;HuAI$AHIxStHAIx8tdHAIѷxtIHAI趷؅y1H=MI,$IWuAI,$u I?HHtyH HUHE3LuIHEH %HHuH=&E3E33HH+u H̊H=IcH]L;%MLHY=sH8]H0HHExL8I;H:uLELH0ADE*DEAHЍR+A#+и*UHcAHMЍRAD+A#ЍRA DЉUE3Hc:MHU;LHtMLALHu"ŃHHT=rL0AIH0L9HF D9vIH@ILcQEuH(H0IH@(D88t"H(HP8| HB(HcB AuAHA0H;0}HHA0IH0yLq0IH@(IH(H+0[MExZJ(ILHI9 |$M3AIHHH)0IyIcHD(IH(H0I;^IL;eH}II>HEMH=q@H8H0HHuL8I;8HrLEULH0Aы]DIHM~ 9ED{DM 9E~D{Au"H|HyDM︫*EEAAЍRAD+EAA#+AHHE縫*AЍRD+A#ȍIA DȉMIHMMHUEHqLALHu"HH=oL0AIH0L9HF D9vIH@ILcQEuH(H0IH@(D88t"H(HP8| HB(HcB AuAHA0H;0}HHA0IH0yLq0IH@(IH(H+0[MExZJ(IL H I9|$M3AIH HH)0IyIcHD(IH(H0I;^IL;mbHEH}HفHMLHH/u H8HtH.u H$IHMH3eH$HĐA_A^A]A\_^]ûHMH=eHEH ?HuLDHE3-H}HxdLSVHH}iH3H$IkHI{3McMk؋MsDM{DHL$0H|$@KE3CR ~LHu .IKC ~LHu Ks~HHu+I,$H=LLIH sHT$xE3H|$pILd$xH$L$蠤I,$Lu ImH+u H^Mu `IEHT$`H E3ILl$`MH|$hImHu I Hu HL$0LI(t}HD$0HHu HILHu)HL$0H=LH)H+u HHE3A|$ IHHu*I,$H=Ht$@aI@SI,$u I+HHGHHHH;tBHH9Ct5H HPHHH+u HŁHHmu HL$L$H$H$MtI/u I~L$MtI.u IbL$HtH.u HFHH$H3aH^[LKLH HMIH s{H+u HH=LH 60D3D 3H@UVAVAWHxHeH3HD$hE3HH;5HAAAH;5~EH;5~ u HtH$H|$py "HEHHLMtADHHu #HYHHuH-"#H/u HH;5}HHD=}HH.u HH}HHD$8HWHD$HH|$@ LGHL$8IDȺ¡HHuIH-#H2H/(HBHH. H&H/u HH }HT$0Lt$(E3Ht$0IH H.Hu H~Hu #E3E33HՠH+u H~#rH mHAH9huH=hHtHHM@HDHLCyHHmmHHH RhH=ShHtHB[xH LmH茠HHu%6xHuH |HLH _xHu $HHeHHu$H/$H-H}H/u H}W3HD$`D$PLdxHHtEH=HT$XHCLIHHL|$X{H+Hu H4}Hu'%H-SLH ,D3 MuLI/u I|H|$pIH$HL$hH3i]HxA_A^^]LSAWHHaH3HD$pHAE3LoIkIsHI{McEMkEMsLHT$0HL$HL|$@I;tZLXMt-IQAH~IAL9t9HHH;|A*HI;tHuL;zA@ANAAV0DF~ D;AtA D;At:vHHuH-ӝLNE3FV AϋIFrHH @8nAtAHDDD|$ H蘘HuH-\AH)+Lu H{HJE3AD|$ ItHHuH-HE3AD|$ INLHu IHwHHu pH)/u HzI).u IrzHE3AH\$@ID|$ HHuH-qVHO؅y (H).u Hzt H\$H[0HH~ FA;tAHDDD|$ HHuH-H)+Lu HyH֕E3AD|$ IHuH-HE3AHD$@ID|$ ؕHHuH-iNHG؅y  H).u H yۻuA^0H hMHAH9guH=gHtHH5B@H59HLFkLHu It7I.u IjHZAHjLHu H+u HjHmu HjI蚏؅yH5tI.u ITjLJHGHH3zHLMtAIjHHu HCH;Dhu>HLH+u HiO0AdA 3-HHu^H5H hH;u HAXH'H hH;u HAXHHXH~fLHu]H@jIHD$XH)jHD$hL|$`H\$p]HKDMGH-LAHL$XwLHuzH+H5?u HiHtHmu HhMtI.u IhMtI/u IhMImIhI/u IhH+u HhH XgHT$0Ht$(E3Ll$0IH |ImHu IIhHt E3E33HSH+u H$hH5HLH &D3tMtI,$u IgHL$xH3kHHĈA_A^A]A\_^][LATAUHHLH3H$HE3I[E3IkII{HHL$@HH _uEHT$(ISHT$@M{ELd$84eHHtH/u H5gH$L$Hu bHwHH\$8|؃u aHt 5MA~;AtA;AtH UMHAH9LuHLHtHH-z@H-zHLEaHH}UHHH KHKHtHBk`H \UH蜈HHu%F`HuH dHqLH o`Hu <Hc`HHu H&eH9Cu#LsHHCHIHH)ueIHD$(HT$`HD$hHHVzAHD$xL+HLt$`HHl$pH?E3L HvHMtI.u I?eHmu H/eH+Iu HeHu ZHHT$PH rE3IH|$PLHt$XbH/Hu HdHu H;5bLtHTHcHFHHpLMtAdLHHHaHHu$I. H5vI7dI.u I#dH zu=6^Ht2 H+H5)uJHcHtt HbAHy tHcE3 wH_AH̀y tE3ՋvTHy_AH蓀y tE3ՋvHHcE3vHLȉD$8NHHu \E3HH6TLHu ;Hmu HSI3xD$Hy I/u IS9t$Ht!L$8NLHu HHHH+u HeSHMi؃uxMHtH=tuE3H.u H(Sl$@HD$XLHMLHu33]MHHtKsMLHt;WL$3I޹H$$H$MLHu03H=tMtI.u IRHHiH$ID$MIHH}bL$ID$ HHf^H$ID$(HH eL$OI.Hu HQI/u IQE3Hmu HQ3Imu IQE3I,$u IQE3Hu H;5OHrAHJupH=sH.u HkQHtHmu HVQMtI/u IBQMtImu I-QMtvI,$uoIQdHuH OHT$`Ht$XE3H\$`IH rHHt E3E33HrH+u HPH=rLH D33H$H31H$HA_A^A]A\_^]H\$WH0HAH[HD$@LMtAcPHHH@H;dNHH\$@H+u HPHHQHL$@AzHHHL$@H)uOH NHT$(HD$@E3HD$ IH|$(H pH/Hu HOHt E3E33HqH+u HdOH=qHL$@Ht H)uGOLH }3AH\$P3H0_H NH;u HAXH'H NH;u HAXHH6>HKHD$@HH+H=piHN[LUHl$HH3H3HEHIsHI{3Mc3MkE3MsE3M{LHT$@E33HL$83HT$pHL$hHL$`Ht$xHL$PHUHL$0H9HH[HL[LD$XHXHHXHD$XH8INH$HPH;tENfI|pGHtH5o$ H <HA3H9"6uL5!6MtIH5UV@H5LVHLFHLHu<HHH 5L55MtIBcGH T<HoLHu%>GHuH KHXLH gGIMuH5o% HL$8Hr^HALMtALLHuH5n% HKI9Fu"I^IIFLHHH.ulL3HH]HL}H?HUHAL+E3L IYmLHtH+u H"LI/u ILI.u ILMuH5(n% HT$@IIHHuH5n3HL$0% I,$u IKH :E3H]HAH974uL=64MtIH=M@H=MHLGFLHz:HHH 3L=3MtIBhEH Y:HmLHu%CEHuH IHVLH lEIMuH5m& HL$8HIELHuH5l& HHUH u`E3IH]LezHH+Hu HJHu & HL$8H[HALMtArJLHu & HII9Gu%MgIIGLI$HH.u J3WLeLuEDHD$0HHu &Z Hg[HUHAHLLIH+HHZH}HA II?HL Lm^GHMtI,$u InII.u I_IH/u HPIImu I@IHL$0H)u/II/u I IH7 H5@k& H91uH1HtHH5K@H5 KHLFTDHH7HHH 1H1HtHBBH 7HkHHu%BHuH GHSLH BHHuH5j(UHGH9Cu"H{HHCHHHH)uH3HhEAHD$HL+HH|$@HE3H?HL HD$@HhHHtH/u HGH+u HGHuH5i(E3E33HiH.u HGH5i(yIH 6Lt$hHAH9/uH=/HtHHX@HwXHLCBHH86HHH M/H=N/HtHB&AH 6HWiHHu%AHuH mEHNRLH *AHuH5hHGHHRLMtAFHLHuH5h H/u HTFIHUH >RE3ILuHuDI.Hu IFHuH5=hHTEH9CuHsLkHIEH) u HE3HHuHH}H?HUHAL+E3L IfHHtH.u HEH/u H{EImu IkEHuH5g_H n4E3H\$`HAH9-uH=-HtHHfV@H]VHLC@HH4HHH C-H=D-HtHB ?H 3H=gHHu%>HuH SCH4PLH ?HuH5fHGHHlOLMtADHLHuH5f3HL$0H/u H3DHt$8HN>HHuH5Ef<HFHH5OLMtADLHuH5fHCH9Cu"LkLsIEIH+u HC3HL$`WHMLmH}E ^>LHu ~H-WHUID$HAML+IHHD$XHE H&NID$ HHHL}(H?L @HMtImu IBE3H/u HB3I/u IBI,$u IBI.u IBHuH5dHHUHq2E3H MIHEH\$pH]R@H+Hu HXBHuH5|dLL52HUH\$@E3IHt$xH]IHH WH}?H+Lu HAE3MuDH5d3HL$0MqI.HD$0^IA3HL$0IH (MHU0E3Lu0IHu8Le@e?I.Hu IkAI,$u I[AE3HuH5|cLHL$8HRH\$PHALMtA>ALHuH57c Ify tI.u I@HL$8HeRHALMtA@LHuH5b!IH=LH!I.H5bu I^@HtH/u HJ@MtImu I5@MtI/u I!@MtI,$u I @HL$0Ht H)u?LH D3R3H|$P,I.u I?H+IuH?HHHHL$XL$PL$XL$`L$hH$xHt H)uo?HL$hHt H)uY?HL$`Ht H)uC?HL$pHt H)u-?HL$xHt H)u?HtH/u H?HEH$pHtH(u H>HH$HMHH3\HĀ]@SUVATAUAWHXH#H3HD$@HAE3HHHOEELMtA>H$HLt$PHu .VH;\=AAA@H;H<H;6= u H,>y$H+.H-6` H=H+u H=ttH+u H83H\$@Hl$HHt$XH A_A^_H\$Hl$Ht$ WAVAWH rWHH=,H~LHWRWHHHKH)u|8W3HHCHC 88H8H03HHHHHkHEHsHH \XH--JL=DL5EH5-7HHHH_HG3HG|GxHG8HG@HGHHG HG(HG0MtILXMtILwPHtHEHo`HtHHHwhHGpE7H+u Hn7H6Hr5HL YH q3AHH+u H573H\$@Hl$HHt$XH A_A^_H\$Hl$Ht$ WAVAWH "UHH=*H~LHTUHHHKH)u6W3HHCHC x6H_6H03HHHHHkHEHsHH VH-mHL=BL5CH5, 6HHHH_HG3HG|GxHG8HG@HGHHG HG(HG0MtILXMtILwPHtHEHo`HtHHHwhHGp5H+u H5H6H3HL WH 3A-H+u Hu53H\$@Hl$HHt$XH A_A^_LATHH-H3H$E3IkI{LMkAMsAHT$hEIAEHBHL$XIM{LLd$@Ld$xL$Ld$8L$Ld$HMtA4H$0LH$HuH5V"L;=2tH#I8hu "IVD$`.Ht "I/u I94H R#IHAH9D"uL5C"MtIHOE@HFEHLCy/LH#HHH !L5!MtIB-H "H&VLHu%-HuH <2H?LH -MuH5U#MdIFIH=LMtAs3HHHuH5iU#MI.u I 3Hq2MH9CuHsH{HHH) u H2IHD$hH$H$HHH$HAL+H?L E3HSHD$PHHtH.u H2H/u H2HuH5T#HLWHt$XHHDHH\$@HFLMtAY2HD$XHuH5PT%LHtAHHD$xHFLMtA2HHuH5 T'LHCHH?H$LMtA1LHuH5S(LxH&E3IRQHHI/u IW1HME3A Dd$ H:MLHu(Ld$HrH/u H1HCHH>LMtA1HHt=HH&E3HPHHt#H/u H0HI-HHu1(I/MH5RLd$HI0Ld$H}I/u Ij0Hmu HZ0HN+HHu (HHb-HHuH5SR("H/u H 0Hmu H/HH\$8L UyH5R) H IHAH9uH=HtHHD@HDHLC+HHHHH H=HtHB)H |HQHHu%f)HuH -H:LH )HHuH5@Q*H\$PH$E3H$IHHB=H sEH$,H+Lu H.Ld$HMu *L$`)HD$HLHuH5P*H-H9Gu#HoHHGHHEHH)uE.IHD$8H$3H$H$L$(LHuCH51P*HtHmu H-MtI.u I-H/H^AH$IEHAML+HHHHL$H?L Y+HHtHmu Hi-I.u IZ-I/u IK-ImLd$Hu I6-H/u H'-Hu/H5KO*Lt$8H|$@LH D3h8HHHL$hH9H$HALMtA,LHuS+H5NH/u H,HL$HHt H)u,MfIm[Ih,MH BHT$hE3H\$hILl$p"*H+Hu H(,Imu I,HuH5HEHHEHFHCHHCHF HH~(!HHu`I.H-1Iu I&HtH+u H&HtH.u H&LH ,D33Mt LpHHp I/u Io&L|$ Lt$(Ht$0Hl$hH\$`MtI,$u IA&HH8A\_H\$ UVAVH0HAE3H2HALMtA &H|$`HHuH-H#HHT$ H {1E3IH\$ Lt$(#H+Hu H%H+u H%HuH-GHMH" HHuH-GH5LH."yfH+u H$%HEHHV6LMtA'%HHuH- G2H"6LH!y6H+H-Fu H$LH D3Hu$H+u H$HLH.u Hx$H|$`IH\$hH0A^^]H\$Hl$ VWATAVAWHH0 H3H$HHH5H!y IH5H!y gE3ɃuaH A"HT$0H"ILL$(HD$0H DHHt E3E33HEH+u H#HHT$8H5MH 5HD$@H\$86!HHtH+u H7#E3Hu H4LH y H/u H"H&"HH|4H9Cu)-HHu FH!HH2H9Cu,LHu .H"4LIfy  I.u IY"H/u HJ"HHT$HH2E3H 4MHD$PH\$H HHtH+u H"E3Hu |H}8HHuHt tH/u H!HuHT$XHE3H2MH 4HD$`H\$XxHHtH+u Hy!Hu HFu}Ht H/u H7!uLHXLHuH5ICH0,HT$xH \3E3IH$H\$xL$HHtH+u H E3I/u I Hu #LOL; H;=txH CL0MIH,H H/AH5zBu H? MtI.u I+ MI/I HM H)uHEHH} H,LMtAHHtKHHT$hH 5E3MHD$hH\$pH/Hu HH/u HHu$H5ALH D3Ϋ3H+u HKHTHH$H3L$I[@IkHIA_A^A\_^H\$UVWATAUAVAWHl$HHH3HEH3HD$0E3HD$@3H:E3HHMLL}HHAH:H4H\$(LMtALHuL|$(H5@L|$83L;5m3L;5aU3L;5J uI@ЉEyHD$(H5F@HD$8I.u IUH\$8IRLVH IH\$82IHHu.HtHD$8HuHD$(H5?HD$8 H);u HkHWHuEH6LHu  H =HUH3MIGMHHMH 2H.Lu H3I/u IE3MuH5 ?7 L;5t$H IxPuH5>8H.HMuHuH+HHFLMtALHuH5> I!HHuH5a>E33I.u IH9 LIH 2tHD$(HuH5>@ 3HEH;tqHFHH2LMtALHuH5= I@؅yH5=E33I.u IVIEWHLmEMHHuH5S= H "HUH1LHCIHHMH `.ImLu IE3H+u H3MuH5< L;5t$Hu IMNuH5< IMH)ufHFIH+HLMtAfLHuH5_< HNHHuH5<<E3HI#LHuH5<oI.u IH/u HIIHHHu  I/u IE3H;5tHY H1Mu " H+ILuQH]H*H~uH5b; %HKHHuH57;d H E3HAH9 uL%Mt I$H!AH!HLC<LHHHH L%MtI$BH H:LHu%HuH H#LH IMu HMH(HALMtA;HD$0HHu HMAI9D$u$Mt$IID$LIHL);uE3WLuEHD$@HHuMH59L|$(HD$8HL$0L}E3HD$8HL$0M1I.IXH(HUHCJALM+IHHD$0HEIHH?L LMtI.u IHL$0H)uH+HD$0u HI,$HD$@u IE3Mu fIHLHu HH/u HzI/u IkHILHuH58qI,$u I6E3L;=<tHIIu H.Mu HL|$8E3H2IE3I~.yH580IH E3HAH9uH=HtHHq@HhHLCHHHHH H=HtHBH pH7HHu%ZHuH H LH HHuH547aHKH9Gu"LgHHGHI$HH)u3WLeEHD$@LHu"H56E3HD$0HZFHI%HUIFHAML+HHHHL}H?L LMtI,$u I,E3I.u I3H/HD$@u HMuH5(6UIIHHuHD$0I/u IE3H;=t$HHaGu3HD$0KH.ILuzH3L|$(IL;tHMH)HALMtAcHHuH5\5H:8؅y3E3HD$0E3HD$@H/u HHt`L;t$HIFuH54E3II>5HuH54H.ILu~H 3HAH9uHHtHH=5@H=,HLG HHMHHH HHtHB; H ,Hl4HHu% HuH HcLH ? HHuH53HH9Cu$HsHHCHHHH)u3HHuHLmH?HUHAL+E3L Ho2HHtH.u H8E3H+u H&3HD$@HuH5C3pH;=~HHDg3HD$0E3HN HHuH52H HUE3LeIH]1H3H+HD$@u HpHuH52HIn LHu"H5j2H/u H+MtL;H/u HL;=HICutH52I/u IMtI,$u IHL$0Ht H)uHL$@Ht H)uLH D33IHL$8Ht H)uhHMHt H)uSMtImu I>HHMH3H$@HA_A^A]A\_^]H\$Ht$H|$ UATAUAVAWH$pHHH3HHAE3H2ELEALD$XELD$`ELD$hELEHLELELELELD$pLELD$@LHMMtAHEHHuH50Hq3Hu LHuH5]0LHFH>%I y H8I y H$I y HIs y HIU y HI7 y nH!I y PHIy 2HIy HCHHI#Lt$XLMtA LHuH5/LHI1؅y I.u I I: H4HHuH5.MHHU@HD$XE3H zMHEHH}@) H/Lu H/ H/u H 3MuH5B.D,I1؅y I.u I  3|LHuH5-LHHI]y HI?y vHrI!y XHtIy :HIy HIy Lt$`LHuH5-LH3H;5H]u(H 1 LbHcH H H9FH H]0HtfE3Ht$0IHT$0BHEHHtZH@H;k t&H;j tH/H/Hu!H 3H߉EJHH3H]ELHu-HE2HHHE0HuE3IL|$HL}MDH7ItuHH9E0t!H @H H LL$0HLE HUHE HHE HD$HHD$0HLl$0HCH;Nu_HMH;KHAHEHLHHAE3D$ LEHUjL}Lm) H;u,HMH;KHAHEHCH HHHHHuL|$H3HAHVHAHD$HHLi IEH)u0L|$HHUL}HHt H/uHL$pE3L|$HIL}Ll$pHt H.uL}E3HT$`IALm-ELIIEH+u H3MtI/u IrHL$pHt H)u\HuIH>HH\$hyH5e)L|$HLHIL8#HH^HuH5%)L|$HLH HLHEHHH9Fu LHuH5(L|$HLHIFH ~L "H;uPIVHuIImHHHHHuAFHAOFHHk>HA`IIL@A+H;;uAFY II/HHuL|$HI.u IHILHuH5'L|$HMH/u HHMH3yL|$HzI.u IfH~*yH5'3L|$HDǻfH VHAH9u"L5MtIaH LPH HLCuLHHHH L5MtIHiLH\$hMuH5&3L|$HDǻHHHuL|$HtHLI=$LLHuL|$HHI.u I4H/u H%HH3E3yH55&IL|$HDIHU HE3H GIHE(L} I/HHD$8Lu IHuH5%IL|$HL I/u ImL|$HHDHyH5x%IL|$HL\ IE3H IuXHpHU0HE8L}0I/HHD$8Lu IH_H5%IL|$HL HHUHEL}I/HHD$8Lu IHH5$IL|$HL 3H96H\$Hu#L%0MtI$bH  LQH HLCLH6HHH L%MtI$#HLH\$H3IMuH5$L|$HD HI9D$u)I\$IID$HLHHH)u3HAHEL+HH]HE3H?IL HEHj"HHtH/u H3E3I,$u I E3HuH5A#3Dǻ) HHUH E3H ` IHEH]H+Lu H3H+u HMuH5"LH ILl$8HMHI3LHuH5"E3HD$83D~ IHyHHtImu I1LeH|$hMLt$`L|$XHM' L|$HjL|$H^HxOH; uH H6H -H} H/H HAH L|$HH5!HUHtH*u H}HL$pLeIHt H)j X_ H}HHHGLMtARLHtFH:$؅y  I.u I3u,HH!uH5!3DLHH{&HuH5 3Dǻ HE3E3HEHL yH5 3Dǻ zH jHAH91uH=0HtHH@HHLCHHHHH H=HtHB H H; HHu%HuH QH2 LH HHuH5 MHH9Gu"LoHHGHIEHH)uN3WLmPHEXLHuLt$@ H5NI?H HUPID$HLML+HHHHLuXH?L HMtI)uu IE3I)4$u IE3H)7u H3HuH5 DH HH]HAH9uL%Mt I$H.AH%HLCLHNHHH KL%LMtI$B;H ,HlLHu%HuH HcLH ?IMuH5 LHLuH= IIFLMtALHtHHHD$HHHuL|$HImu IOINLHtHHaLHuL|$H H5HH9H.u HE3Imu IH?E3I9D$u&I|$IID$LHHH+u3HH}HLuH?AL+E3L IHEHHHtH/u Hj3I.u IYE3I,$u IFE3HuH5g HSHH9cuL5bMtIH@HHLCpLHHHH L5MtIBH HLHu%HuH 3HLH IMuH53ǻHGHH LMtAfHHuH5_KHMHILHuH58$IH"HD$HHHuH5LH/u H3Imu IHE3I9Fu"MfIIFLI$HH)u{3HLeHHuH?AL+E3L IHEHhHMtI,$u I0E3H.u HE3I.u I E3HuH5-HHuHHH\$8yH5HD$8uoHHUH E3H IHEH]pH+Hu HvHuH5HD$8H+HH*HyH5^HD$8HHE3H IuLH\HT$HHD$PH\$HH+Hu HE3Hu_HD$8H5H HUHEH]H+Hu HE3HuHD$8H5H+Hu_H|$hHHLL|$XLLeHMQHLHu JHT$XI;HD$@HH3H5$I.Au ILt$@IHMHD$8HEHEHD$hHD$hHD$`HD$`HD$XHMHMHD$XHEHMHMHEHMMtI/u IxHtH/u HdMtImu IOMtI,$u I:MtI.u I&LH D3肁HM3L|$XLt$`H|$hHt$8LeLmHt H)uMtI/u IMtI.u IHtH/u HHMHt H)uHtH.u HzHMHt H)ueMtI,$u IPMtImu I;HHH3L$I[8Is@I{HIA_A^A]A\]I.u IHCE3H;+H]ubHLH`HHEhH2HExH]pLCHMhIKDȺLHuwH53ǻH tH;u HAXH'H }H;u HAXHHH=HLHWH5_3ǻJH+u HH HT$xLl$pE3Ld$xIE3H I,$Lu IE3MuH53ǻE3E33II.u IH5E33@USVWATAUAVAWHl$HH@H3HEL-ZE3MHL$HHL$xE3HUEIEHT$pH ALEAILd$PLd$XLd$0Ld$8Ll$pImHu IMHuL%H/u HIrLHuL%LHHAH; H; IYHHu #I.u I8HFHMHLHHAHHtqHHHt9L)0uH H0AH AL%KyL%L)6HH.u HIuI L%SHHHt=~'H &HAH  HxD LhIEHIEI^ HI.u IH=HULt$HE3LmHLl$PIHMHOH HEH\$XH}LuH/Hu HHuDL%HLHu 8IFHXHHLH+u H/H=HUE3H}MLuHuHHPH QHEH/Hu HHuL% H+u HILd$` ILHD$ MuL%MIfffIHIL;LL$hILD$@HT$`HD$@IHHt$@Ht$0LHt H)uHIdHHHL$8HHD$8Ht H/uH=HUHD$HE3IH}HEHH LuH]H/Hu HMHtH+Ll$ H{3C7I/ISH HH WIܿ3DMHI.L%Iu IMtImu IHtH+u HHtH.u HLt$0MH D3(yHt$8AHL$PHt H)uHL$XHt H)uMtI.u ImHtH.u HYAHMH3HA_A^A]A\_^[]@SUHhHA3HH$HLt$XDLL|$PDMtAH$HL$Ll$`Hu HHT$ H dIMH\$ E3Hl$(|H+Hu HH+u HsHu HHT$8H 9E3MHD$8LHl$0Y HHu ^HLIy H/u H!HHu LHHVy nLHHy IL;=uH MHFsH DIGIH txH~LH  LHu$H/H5O WHIH/u HHFMHVHLMtAHHu HHT$@HE3H IHD$HH\$@wH+Hu H}H+u HnHu Hw؅yH/H5q u}H6rH/u H%IEILt&H MtA$HHuP$HMtAHHu*H5 LH D3uHMtHHI/u IL|$PLl$`L$H$H$MtI.u IYLt$XHtH+u H@HHh][@SHHH3HD$xHAHuLMtAH$HH$Hu HHT$(HE3H IHD$0H\$(H+Hu HH+u HHt3H;=3H;=v3H;=b u HX؅y$H/H5b MH#?H/u HWD$8D$HHHtnH HT$@H[LHGIHHHL$@H HG HHL$HH kH/Hu HHD$XD$hEHHtjH HT$`HLHGIHHgHL$`H #HG HHL$hH H/Hu HHu$H5LH D3;r3H H Hu HHH$H$HL$xH3#HĀ[H\$ VH0HAHHLMtAyHl$HHH|$PHuH-hHHT$ H?E3H MIHD$(H\$ H+Hu HH+u H3Ht3H;=@3H;=3H;= u Hy H/u HHFHHLMtA{HHuH-tHGHHLMtA=HHu*H/H--HHwH/HMtAHHuH-HHCHHLMtAHHu3H-H+u H]LH ˛D3o3)H+u H6HH H Hu HHH|$PHl$HH\$XH0^HHPUAWHH3HXE3HpDHxHL`HHHLH HPHPLhDH$H$H$tH/Hu HzLt$hHu 8HHT$8H E3LH$LH|$8H\$@H/Hu H$LHu HCHH4H$LMtA HHu HuHt H+u HH$OP~;֋tɋ;֋tHHu HGHHH$LMtABHHu HH,LHu NH+u HIIHHuH55I.u IHHT$HH E3IH|$HLH\$P`H/Hu HfLHu &HGLHHLMtATHHu H2DyhH+u HEHGHH~LMtAHHu HHLHu1H+H5u HMtZI.uTIrIH+u HaH.Mu HOL;=XtrHIu_H5WH$H ЗH$LH$DH$3H$[kH$H$Ht,IIH$H$H$H)uLt$hLd$xH$HtH/u HH$HtH+u HhH$MtImu IKLl$pMtI/u I2HHĘA_]H\$UVWATAUAVAWHpHH3HD$`L$MH$HAIM3IH xSt~HAI x8tcHAI xtHHAI ؅y/H5^MI/wIKi3I/u I5t]H HT$0Hl$(E3L|$0IH &HHt E3E33H H+u H_HHu aHT$8H)HE3A H1y cOLHu e{II{HHu eI.u I2H؃uEHtH5AeH/ HwHHu gHHLHuH5gWH/u HHIHHtHIHHu:gI.H5u IiHtH/u HUHoDI.u I;H/u H,H؃u0?Ht%H5;gHmHHmu HIuHMHL$8DË ؃uHHHHHqH9Ct-HtHHHHt]H+u HFHHL$`H3ƺH$HpA_A^A]A\_^]LKLH H}MIH hH+u HiH5 LH sD39f3H\$Hl$Ht$WAVAWH`3IAdr;ƋEAeV  ȸAQ DȅH rHHtkHiHH/Lu H6MtDH*6AeV HD$0H@D$(Q EID$ dr;lI.u IAwL5E3HT$PIHT$HLt$HIH I.Hu IHuA%H;-HtAHHHHu"A L H (3dHu!H(uFHHH+u H1L\$`HI[ Ik(Is0IA_A^_H\$Hl$Ht$ WAVAWH BHH=H~NH"HHHKH)uWHHCC C0vH]H03HHHHHkHEHsHH H-kL=L5H5.HHH{H_HG3HG|GxHG8HG@HGHHG HG(HG0MtILXMtILwPHtHEHo`HtHHHwhHGpH+u HH6HHL H g3A^bH+u Hs3H\$@Hl$HHt$XH A_A^_@SWH(KH=Hl$@Ht$PHLt$XL|$ E3~HHHHHKH)uW3HHCHHH03HHH&HHsHHKHAHALMtAHHu A_HHXHHu%H.A^H-H@H.u H,HMH9Gu6HHHH/u HLHHu:AacHHHHuH/A]H-uCH8HCHHHHCHHHOHEHw 2HAXHH-LH fE3`3MtI/u IUH+L|$ Lt$XHt$PHl$@u H2HH(_[H\$WH@HE3H;HA3H; 3H; A u HDHt$PEy TGHCH;uHAH H;u HAXH'H H;u HAXHHHeHHH HHHu$H+UH5iH*H+u HH HT$(HD$ E3H|$(IH H/Hu HHt E3E33HH+u HU-WHT$8E3IHD$0Hu"VH5LH CcD3^3Ht$PH\$`H@_H\$Hl$Ht$WAVAWH`3IAdr;ƋEAeV  ȸAQ DȅH HHtkHHH/Lu HMtDH.AeV HD$0HD$(Q EID$ dr;I.u ImAwL5E3HT$PIHT$HLt$HIH (I.Hu I HuA%H;-HtAHHHHu"A L ?H 83I]Hu!H(uHHH+u HL\$`HI[ Ik(Is0IA_A^_H\$Ht$WH HIxIHHu H=d@HHuH.H=uuDH9HGHH8HCHs Hu?H+H=:u HLH 3AdX\3H\$8Ht$@H _HXH HH HH H\$8Ht$@H _Hl$VWATAVAWHE3HHWEAEHHFLMtAH$HHu yPH_H;t^HGH;u AH9_7H;*uOWf.zt,A,AH4HD؅yy?H/u HtLHHw"HHu yHE3E3H؅y yH/u H\HFHHLMtAWHHu {/HE3AQDd$ HLHt^H/u HHFHHLMtAHHuH5{8HIHHu<{H/H5u HMI.IcwI.u IOH/u H@HE3ADd$ HLHHu | H/E3E3H؅y |H/u HE3Dd$ IυtqHAHHu }H ؾHT$8E3Ld$0IH|$8H/Hu HmH}lHA<HHu ~HHWE3E3H؅y ~>H/u Ht|HE3A<Dd$ IHHu H HT$HE3Ld$@IH|$HH/Hu HHH ýHT$XE3Ld$PIL|$XzHHVE33HHHuOHt *HHHu HE3A@BDd$ HHmHHu HE3E3HVy H/u HE3Dd$ H˅tqHYA@BHHu vH HT$hE3Ld$`IH|$h\H/Hu H*Hj)HAHHu HE3E3H~y$H/H5HH/u HtuHRE3ADd$ HHHu H ûHT$xE3Ld$pIH|$xjH/Hu H8Hu|>H H$E3L$IH$HHu<H5LH u_D3CUIMtI/u IHtHmu HH$HH$HĐA_A^A\_^H\$UVWAVAWH`HYH3HD$PHBHHE3LH;LXMt(MA3M~?IAH9mHHI;|$fHH;MHuH;;H HAH9luH=kHtHH@HHLC1HHHHH $H=%HtHBH HHHu%HuH HLH Hu dHGHHLMtA5HHHH/u HIOLHuH-dHH9CuLsHsIHH) u H3HHT$8HD$HHHLt$8HL|$@H?AL+E3L H|HMtI.u IEI/u I6H.u H'HHH2HHu$H/dH-*RHDH/u HHHL$PH3WH$H`A_A^_^]IOaHHHEHHLMtAHHtHHLHuIH/cH-|u HAHtH.u H-MI.u|IqH/u HH.u HH HT$0E3HD$(ILt$0I.Hu IHcH-LH ZD3P3@SUWATAVHPH]H3HD$HHE3H xLHAH9uHHtHH=u@H=lHLGHH-HHH ʮHˮHtHBH HLHHu%HuH bHCLH H$L$HHCHHLMtAHHHH+u HSHMLHuH.H=fHHyH9FuLvH~IHH)u H3HHT$0HD$@HHLt$0HL|$8H?AL+E3L HHMtI.u II/u IH/u HHu H=*HIHHu1H+H=u HKLH QX3AgN3H+u H!HL$H$HL$HH3葢HPA^A\_][H\$Hl$Ht$ WATAUAVAWH HBE3HLHLH LHPxHHtH;u HRHuHtH;tHHH{H»H IIIE33IHL%oH IM`HH;toHt HBt}uJIExHHHt H)uHtH/u HHBH.8H*E3E33IhHHL=IExHHHt H)u|HtH/u HhHH.HLI,$ILu4HtH/u H HtH+u H HtH.u HHEHHZLMtAHHuL%5AIHHHu1H+L%u HMH RD3KH+u HcLMtI.u ILH\$PIHl$`Ht$hH A_A^A]A\_H\$UVWATAUAVAWHHH3H$HHT$@HHHL$83E3AHNH;*HHNHH;t tAŅu\HHT$XE3H\$XIH|$`Ht$hHH BL)+Hu HIHZ HOHL$H߸HHu HH9LHu#L)/H5"HL)/u HнH 3IHAH9٥uH=إHtHH@HHLCHHHHH H=HtHBH {HHHu%eHuH ѻHLH Hu HGHHLMtAHLHuH5L)/u HHE3Eʼnt$ I7LHuH5H߻H9CuHsLsHIH) u H`3HHT$pH$HHHt$pHLl$xH?AL+E3L I;HHtH.u HImu II.u IHu H؅y$H/H5H~H/u HHL$8%HA3HHpHyHI9Gu1IHH9Gu~H_HwHHH/u H>3bILHuH5RE3HH/HMI.IHH\$HHL|$PH?HT$HHAL+E3L HHHtH+u HI/u I~H.u HoHu_6HA(3LAHuHT$@HLjHHu'H5VLH ,ND3F3HtHmu HMtI,$u IHH$H3cH$HĐA_A^A]A\_^]@VWHHLI3LīH\$hHl$pHLt$@LM;IXHt'HPH~GHL9HHH;|+IMtHI;HuL;,HEHHLMtA!HHu AHHT$ H E3IH\$ Lt$(H+Hu HH+u HHAIIHHtHHuApHHT$0H &E3IH\$0Hl$8H+Hu HH+u HHuAHHHuAL H GL3@DHLt$@Hl$pH\$hHtH/u HHHH_^H\$UVWATAUAVAWHl$HH]H3HELJ3HHT$HHy3E3HD$(E3E3LL;Y IXHt&L@3M~PHH95 HHI;|5IMt fffHH; HuH;ܴаHѴLHEHHxfDH9H}HtH;u HIHuHtH;tHHLIѰH3H}I$HUH E3IHuLeH](HMtI,$u I(HHH HHT$8HEE3IM`MuhMmpL@`L@hL@pL HL$(IAH9ŞuOH=ĞHtHHH ٤HHEHHHLEqHIHHD$@L@HH~HHH CH=DHtHFlHT$@H XHHu'EHuLD$@H HH lHL$(H HuHT$8 HTH/Eu H´LE3H}I@pIP`IHhHD$@HD$(I@`HMMphMhpHtH*u H~HMHt H)uiHL$@Ht H)uS3E3E3HD$(HELt$0Ll$@9E LH HD3@LuLMILD$0HT$@y$H& HULt$0HD$8HT$(HHMHH)uHL$@H)uHL$0H)uIFxHMHHHtH*u H{MtI/u IgHUHtH*u HOHHMH3ГH$@HA_A^A]A\_^]HƱHMHRLH GD3f?HMLL$@LD$0HULt$0yHHD$8IID$H;uI$AH H;u HAXI'H H;u HAXIHIcLMu Ll$HIEH;uIEAH 2H;u HAXI'H ;H;u HAXIHTILMu-H$HD$8Ll$0Ll$(LmޫHHIHEHaHEHHELeLm=ID=IMD MD$H-LAHMHHu|H5Ht$8HD$0HD$(HEGImH}HD$HuI&Ht$8Ht$HE3I,$u I HH/HI,$u IذImu IȰH iHUH}E3LmE3IH H/Hu HHt ME33HH+u HfHHD$8Ll$0Ll$(LmIHHFxIL L(Mt6L;%5tID$HD$HHMl$(MtIEI,$u IMLl$HLMHLD$(HT$0y)HN`3HL$0HNhHMHNpHMHF`HFhHFpHD$0HD$0HD$(HEHEHEI.u IHFxHL Ht H)ufHL$HHt H)uPMtImu I;LMHLEHT$0HEHD$(Ll$@HEHMH@xHHHtH*u HMtI/u IޮHU3E3HtH*u HLd$8HL$(Ht H)uHtH.u HHtH/u H~MtImu IiMtI/u IUMtI.u IAMH CD3:3IExHH8Ht H)u MtI/u IHH.HID$I;rHIL$I|$sLHuL%HCHHLMtALHuL%IIxLHuL%yImu I/E3I/u IHnE3HH9GuHwHHHH)u3HHt$HHLuH?AL+E3L HHD$HHHD$(HHtH.u H3I.u IE3H/u Hx3HL%H u3HAH9uHHtHL5@L5IMFHH+HHH HHtHBH IJHHu%HuH `HAMH LHuL% ID$IHLMtAHHuL% HL$HHHALMtAVLHuL%O YIH)LHuL%* 4H.u H3I/u IЪH!E3H9CuH{LsHIH)u H3HH}HLmH?AL+E3L IHEHHD$(HHtH/u HP3Imu I>E3I.u I,E3HL%I SH\$Hl$VWAUAVAWH@LJ3LݙE3LLM;IXHt&HP3H~FHL9fHHH;|+IMtHI;?HuL;|-HGHL;uHH5HHFHL;cIRHɓIMHH;t otŅ+HIMHH;@HyIMHPH;t tŅbH E3HAH9#uH="HtHH@HHLCHHvHHH ۑH=ܑHtHBdH UHHHu%?HuH HLH hHHIMHyHALMtAHHu %HFH;u6HLH).u HH IHHuZ%H bH;u HAXH'H kH;u HAXHHH+LHu%4I).u IHdH9Gu!LHHGHIHH)+u3HL|$ HHt$(H?HT$ AHL+E3L HHMtI/u IH.u HH/u H|Ht E3E33HH+u HWH-%IGIHLMtAIHHuH-B#YHIHHuH/#H-/H!H)/;H HAH9<uH;HtHH=@H=~HLGHHHHH HHtHBH ~HHHu%hHuH ԣHLH HHuH-B YHYH9Cu!HsHHCHHHH))uܤ3HHt$0HLl$8H?HT$0AHL+E3L HHHtH.u HH+u HH^IHHHH/ H-HIGIHLMtADHHuH-=WHIHHu[H/H-u HףHtH.u HãMtI.u ILH 8D3 03H/u HHH\$pH$H@A_A^A]_^H\$Hl$Ht$ WH0H3H `HAH9uHHtHH5@H5HLFHHHHH ]H^HtHBH H7HHu%HuH MH.LH  HHHߡH9Cu"H{HHCHHHH)u\3HH|$ HHl$(H?HT$ HAL+E3L HFHHtH/u HH+u HHtHL H @43AK.3H\$@Hl$PHt$XH0_H\$Hl$VWAVH@HIHHHHL$ H HHT$(E3IHT$ [H.Lu HaMu AH/HIu?HǷHHuPHt AH~3~9LHu AHN H)uLv H;-ϋH;-۞H;-ɟ u HЅyAbtH pHT$8HE3H|$0IHD$8H HHt E3E33HtH/u HEAL hH 23,HtH+u HH\$hHl$pH@A^_^@VAVHhHфH3HD$@LE3Hl$`AHL|$PH;-ȞLAAAH;-I; uHLH$H|$Xy yuIH5jH nHAH9uHHtHH=@H=HLGHH&HHH [H\HtHBH HEHHu%HuH [H<LH Hu |HHHHu$H-|H+HgH+u HSHW3HD$8D$(HHtEHHT$0HCLIIHHt$0כH+Hu HHu"}H- LH bKD38*LL|$PH|$XHl$`H$HtH.u HIHL$@H3~HhA^^@SVWATAUAVAWHHVH3H$H3HD$0E3HD$`3HAE3E3HT$@LHHHLMtA9H$ HHuH-*L"3H; @H)uԜHKHL$PuHHuH-޾ILHCHHLMtALHu IHHHu jH/u H:I/u I+HII<HHu H.H}HIMHPH;<IMHYHALMtAΛHHuH-ǽILHGH;u5HLH/u HeHKHHALMtUAVH 6H;u HAXH'H ?H;u HAXHHXHLHuHHuH-HGH; HLH/u HHIH$HH$L$L$&ID&IND MD$HLAH$HHueH-f.H H;u HAXH'H &H;u HAXHH?HLH#I,$u IșI.u IH zHT$XHt$PE3H|$XIH 论H/Hu H|Ht E3E33HH+u HWH-ILuHKHHuH-W LOIEHT$hH گE3IHl$0Ll$hHt$pЖImLu I՘MuH- HCHHL|$`LMtALHuH- HL$`AIHHuH- I/u I@HE3UD$Py DH/u H9t$P1HCHḪLMtA HHuH-IHT$`HLHu H.u HH3E3ɉt$ AI HHuH-I.u ITH 5H$E3Ht$xIH$LCH+Hu HHuH-5I(HI HHu<H/H-u HɖM%I/I H/u HImHHt$@u IHAHHHuH-Hj؅y &H.u H+3tOHVAEt$ HiHuH--#HmLHD$0uHەILW3H$$HHuH-ӷE3HHvH$HCLIHH KL$-H+Hu HCHuH-geHHDHHuiE3H-=H.u HMtI,$u IMtI.u IՔH|$@Lt$0LH YAD3'!3H.u HMtI.u IHL$`Ht H)uzHtH/u HfH$ HH$H3tHA_A^A]A\_^[@SWATAUAVHH yH3H$3H3HD$(HD$8E33HL$0HGE3LHHLMtAH$HH$L$Hu /3H; @H)uHkO*HHu W3AHD$xAD$h)LHuH-bHyHT$pIFMIHH H\$pΐL);HHD$@u HM)>u IҒHu TH ܁E3HH|$(HAH9xuHxHtHH=ѣ@H=ȣHLGHHHHH xHxHtHBwH hH訴HHu%RHuH HLH {Hu HCHHLMtAHHHuH-zL);u HID$IHLMtAHHu HƐIH9GuLwHwIHH)u HI3HLt$PHH\$XH?HT$PHAL+E3L H3LMtI.u IH+u HH.u HސMu `IGH;uM9ovyIGH0HH;ΏuM9ov[IwHHxpHHhHt(L9ot"3HHu3_HGHI:HtHAHt 3IH23ӊHHu3HI H+Hu HHu>I/Ld$@IH-$MLd$(uILd$(HkyI/u IH ~E3Ht$0HAH9vuHvHtHH=Р@H=ǠHLGHH~HHH uHuHtHBvH g~H觱HHu%QHuH HLH zHu HCHHuLMtAHLHuH-yH+u HHH9Gu!LLwIIH/u H3HL$HH$H?H$HH$AE3L+IL SHMtI/u II.u I Hu HH\$8I HHu lLd$8LHID$IHĚLMtA͍HHu $H;5tH|H;tHHtPH-H.u HFHtH+u H2MI.IH.u HI$HT$@HZE3H IHD$HLd$@I,$Hu IHu@H;LtH |HTtHG(DHHLHAHHu}H-HD$0H 9Ld$8LLt$(D3HD$0H|$03MtI.u I%HtH/u HMtI,$u IMtImu IL$HH$H$H$H3LlHİA^A]A\_[H\$VWAVH0HA3LHHLMtAHl$XHHto3H;c@3H;V3H;B u H8y WcH+u H tCI-uHt+H-WQuHىHHωpHGHHLMtAŊHHuH-Y3H; H)ultHqHHgIHT$ H E3ILt$ Ht$(I.Hu IHuH-8[vHGHHàLMtAHHtAHH HHuG[H+H-ګu HHtH.u HLH 6D33!H+u HdH.u HUHHl$XH\$`H0A^_^@WAUH8H3H\$XDHl$`Ld$0HHHAL%jHßLt$(LMtAHt$hHL|$ HuL=rMH; @H)uMH wHAH9ouH5oHtHH=@H=HLG҃HH`wHHH =oH5FoHtHBNH ?wHHHu%)HuH HvLH RHuL=sHEHHLMtAχHHtHH$HHu)H.sL=u HqHB.H.u HTH/u HEHCLH;wu/HH kHLHukL=CtMH H;u HAXH'H H;u HAXHHvHHHuL=tH+u HI,$u IHEHHLMtAHHuL=uCIHiHHuGL=juH/u H&HtH+u H3MH ^3D3lH/u HHL|$ Ld$0Ht$hHl$`H\$XMtI.u ILt$(MtImu IHH8A]_@SVWAVAWHHjjH3HD$hL5wILHL$PHT$XE3LD$`HT$HIIH “3Lt$HI.Hu IE3Hl$xHu H.u HHIO0H)uI_0H;HE3HHHu 3H;5@3H;53H;5 u Hy H.u HY$HAIO0HHxHFy 9H.u H|~HHu HCH ςH=H;uoHSHuHHHHHHuKHOK~bHtHA`HHLAJKCHH HHH~*H;muCX~ HHRHHtHHE3ADt$ H蝟LHt#H/u HIH HHu=H.H-u HǂMtI.u IHH.u HI.u IHo؃u|Ht H/u HTA_83Hl$xHL$hH3bHĀA_A^_^[IO0HAH;^u HI08HH;uHBX!HH;uHBX H,q~HHH c~HZ{HHu!H-ޣH/H}H/u HH [HT$@Lt$8E3Ht$@IH H.Hu HMHt E3E33HWH+u H(H-LLH J-D3x LUHHpHeH3HEH}I[IHEHN{Is HHEB MsHEHUب@tA"uAADDLBHMIHuL5>H;N~H|$hHEHHH zyHHuL5=HH+u HAHMHɪHHu H/u HHMH]H)uH nHAH9juHjHtHH= @H=HLGzHHunHHH jHjHtHBcyH TnH蔡HHu%>yHuH }HLH gyHu HH|y 3H+u H~BH mHAH9iuHiHtHH=@H=HLGyHHmHHH iHiHtHBqxH bmH袠HHu%LxHuH |HLH uxHu H'}HHH9Cu.zHHH+u H}HGH;{uHHJH |H;u HAXH'H |H;u HAXHHlH`zHHH/u HM}HyHHEH}HEH]; LCHMЃIDȺ^HHu&L5*H+u H|H5H+u H|AHMH诧HHu$L5۞H/H|H/u H|HMH]H)up|H A{HUHEE3HEIHEH `HHt E3E33HGH+u H|L5<H|$hMH 4D3cHMLt$`H$H$Ht H)u{3HMH3K\Hp]LUSWHl$HpH`H3HE@H3IsE3McAMk؋HEDHjDHT$@HUHL$pH jMsЉ|$(HD$ M{H|$`H|$hH|$PH|$XH|$HH|$xH}H}MLHu  HIeLHu ! HIH\$`L}IHu IzI.u IzHLLHD$@H@ uHHuH=HL$pI0tHD$HHHuH=HyAII9EuM}MmIIEL)1uzL3L}HEHutLHuH==HHUID$JAMM+IHIHH]H?L {wLMtI/u IyH.Lu HzyH+u HkyI,$u I[yImu IKyMu @ IFIH>Lt$hLMtA:yLHu  IFIH"LMtAyHHuH=zIFIHLMtAxHHuH=(H ]hHUE3H}ILeHuH]wI,$LHD$8u I?xH.Lu H-xH+H|$Hu HxH\$8HHu I.H\$hu IwHgH蟫u HD$@@8ptLp(L5uIL;5utHgI^u E3IHHHu I.u I`wH+LHt$hHt$0u HDwHD$pHHqHHu 'HDAHH\$PPwHHu HDyH=aH.u HvL|$@EE3IIvHHu H谛DyH=H.u HivEtJHAE|$ H訓Hu =H+LHD$Pu H"vHH;E3HOvHHu H DyH=`H.u HuEAIIuHHu H豚DyH=H.u HjuHEtGHAE|$ H膊Hu ;H+LHD$PuH uHLH\$`LHH\$HHAOAG xoLHuH=Ht$HvIIqLHuH=3I,$u ItHD$pH0oLHuH=HsHD$pH9Cu+H{LsH|$HIHH+u H>t3H\$p33LuHELmoLHuSH=;HEHL$PHD$`HD$0HD$hHD$HH\$XH\$xH]H]HD$HHL$PM: HxHUHL$pAIGL+MHHHLeH?HL HVqHMtI.u IgsImu IWsE3I,$u IDsI/u I5sH/u H&sHu HC3HH\$XHH|$HLMtA sLHu HCHHLMtArLHuH=ΔHCHH~LMtArLHuH=HD$@HlLHuH=hHD$@HlHD$xHuUHD$@HlHEHu6HT$@B!J  B" VlHEHHH=I.u IqMtI/u IqMtImu IzqHtH.u HfqHt$HHtH.u HMqMtI,$u I8qHL$xHt H)u"qHMHt H)u qHMH H)pHD$xHUHuE3HM8IH `HE(Hu0H}L}LeLmLu őI/Hu IpI,$u IpImu IspI.u IdpHL$xH)uSpH.u HDpHMH)u4pHu,H+H|$Xu HpH_HţuGH=%HD$XH %Ll$PLLd$hDHt$`3HD$X8H|$X3Ht&HHHt$`Ld$hLl$PH.u HoL$PL$XH$MtI,$u IioL$hMtImu ILoL$`HtH/u H0oHHM@H3OHp_[]@UVWATAUAVAWHHSH3H$HA3LHL$8HDHl$HLDHl$@DHl$PMtAnH$HHuL%SH;=m݋͋H;=}lH;=km u Han؅y }H/u H2ntCIVuChHt+L%?uHmHHlH{HT$XH yE3HD$XAH\l$(HD$ HHuL%ՏjHzHlXLHu HIH\$HIEHu I]mH/u HNmAL$AD$ gHHuL%XAL$gLHuL%3eAL$ugLHuL%@H \H$E3Hl$xIH$L$L$趍H.Hu HlI.u IulI/u IflLHuL%IELHAL$AD$ fLHWHL$8I0fHD$@H;HUkHD$8H9Cu"LsHsIHH+u HkHl$83Lt$`HD$pLl$hfHD$PLHHX{HT$`HL$8AID$L+MHHD$@HHD$pHHHH?L .iLMtI.u I?kImLu I,kHL$@LH)ukI,$Hl$@u IkH.Hl$Pu HjHMtAIHkHHH/L%u HjMtImu IjHtH.u HjMtI.u IqjMtI/u I]jHL$@Ht H)uGjHL$PHt H)u1jHD$HH MHD$HD3H\$HHu#0H/u HiI/u IiHH+u HiHH$H$H3LJHĠA_A^A]A\_^]@SUVWHhHNH3HD$XH5[IHHL$@HT$HE3LD$PHT$8HIH wHt$8-gH.Hu H3iHu x#H+u HiH~؃u(cHt z]0E3HH#iHHu |3H;5g3H;5f3H;5g u Hh؅x?H.u HhujHAHhHHtHw؅y$H.|H-qAH2h3H.u Hhu32HGH;HfuHAH fH;u HAXH'H fH;u HAXHHWHdHHH dH?aHHu$H/}H-HgH/u HlgH =fHT$0HD$(E3Ht$0IH ]H.Hu H+gHt E3E33H5H+u Hg}H-*LH 8D3VHL$XH3dGHh_^][LUSIH(HKH3HIsI{3McMkLHMLH UMsHT$pH}HAH9GRH|$@H|$xH|$PH|$hH}H}H|$8H}H}H}uHRHtHH=n@H=nHLGaHHUHHH QHQHtHB`H TH4HHu%_HuH JdH+qLH `3L$HHu HdH9Cu#HsHHCHHHH*uIeHHHuHLmH?HUHAL+E3L H5HHtH.u HdH+u HdHu HHUH vE3E3LuIH}bH/Hu HdH/u HdHu IL$H]-_HHu I$MH|$@Lt$`AMAE ^HD$XLHuH=WAL$0^HD$8LHuH=.hH%HU0H SE3IHE@Lu(Lm0Le8ImHLt$`u IcI,$Lt$Xu IcLt$8HuH=H qHUE3L}IH]M7aI/HHD$0u I8cH+Mu H&cHu =I$3Ht$xH\$8IHD$pH@ t]HD$XLHuH=.AL$0K]HD$`LHuH=߄H~HUPH sRE3IHE`H]HLmPLuX葃ImLH\$8u IYbI.H\$Xu IEbH\$`MuH=d H ;pHUE3LeIL}_I,$Lu IaI/u IaMu I$MLl$PH\$`HD$pH@ 0\HD$XLHuH=ă AL$0\HD$8LHuH= H}HUpH /QE3IHH]hLupLexJ3HI.Ht$`u IaI,$Ht$Xu I`Ht$8HuH=U H nHUE3L}IH]^I/Lu I`H+Lu H`Mu  L5^H\$0Ld$hI;t$HKPH#u { L5^^HD$p@8ptLp(IL;5E^tHPIu ` E3IHHHu ? I.u I_H+Ht$xu H_H5]L;t$HOIwu  H5]HD$pD8xtHp(HH;5]t$HpOH8uH= E3HIHHuH=u H.u H,_3H\$PImu I_L5]M;t$HNI躒u  L5\Ll$pA8utMu(IL;5\tHNI{u  E3II6HHu  I.u I}^I,$Ht$hu Ih^Lt$xALeII^HHu a HS؅yH=V H.u H ^tLH:zAED|$ HL{Hu  H/HHD$@H]HT$PAI]HHu  H诂؅yH=H.u Hi]8HyAH]HHu _ HQ؅yH=TH.u H ]E3II<]HHu  H؅yH=~(H.u H\t3HxAAD|$ HyH E3II\HHu  Htt5H.u HA\Lt$PE3IIu\HHuA Lt$PH.؅yH=1~WH.u H[t0HxAED|$ H'yHE3II[HHu H諀t2H.u Hx[HT$hE3I[HHu {HmyH=r}H.u H)[HAMAE ULH!HL$PI5[HHu Ht2H.u HZHT$hE3IZHHu H؅yH=|H.u HoZt0HvAED|$ HoHhaE3IItZHHu @H2t2H.u HYHT$PE3I6ZHHu H~؅yH={H.u HY}ID$IHpLMtAYHHu IFIHppLMtAqYLHuH=j{AIHfYLHu VH.u HXI.u IXI~؅yH= {HI/u IXjHt$xE3HIXLHu I}؅yH=z I/u IdXIHxULHu dHtHU H HE3IHE HE.yLHuH=/z nAII+XHHu I/u IWE3I.u IWH|؅yH=y H.u HWt0HsAED|$ HtH{tHgU8H UE3E33H FyBHI0THD$8LHuH=,ykI/u IVHuN0^QHHuH=x{HrHH FE3IHHDžLHwI,$Hu IcVH+u HTVHu kHHUH OdE3IH}HuH}TH.Hu HVHu HC3HlE3H]HLMtAUHD$8LHu HCHHeLMtAULHuH=w2HCHHaLMtAwUHD$XLHu H|$pOOHD$`HubOOHEHuHO|OHEHu.G!O  G" POHEHI.H=vu ITHtH.u HTMtI/u IxTHL$XHt H)ubTHL$`Ht H)uLTLd$8MtI,$u I2THMHt H)uTHMHt H)uTHMH(H)SHMHL}E3HIHt$`HH CLLLHLHtI,$Hu InSI.u I_SImu IOSH.u H@SI/u I1SHMH)u!SHMH)uSHu+H+H}u HRHBH裆u`H=uHEH Ht$xLLd$@DLm3HEHEHEHD$hHD$hHD$PHD$PH|$P3Mt+HHH|$PLmHt$xLd$@Imu IVRL$L$L$MtI,$u I)RL$HtH.u H RH$PHtH/u HQHL$hH$ Ht H)uQHMHt H)uQHEHtH(u HQHHH3$2H([]LSAWHH\6H3H$HzOE3IkHIsHI{3McE3MkE3Ms98uh@8ztHR(H*OH HAH3H;OH @Hu HPu)H WOE3E33H rH-r!KE3CHcU0 sD$0KC KHHuH-r$M0JLHtL$0JHHu $H '@H$E3L$IH$L$H$-qH.Hu HOI.u IOH/u HOHuH-r$HELHfHLMtAOHHuH-q%HHT$8H GfE3IH\$8Ld$@BMH+Hu HHOE3Hu %HHRLLHu %H.u H OH/u HNHkMIE3E33E3}fyH-q&tHH'^AHM8zyH-p*HjAI]3E3ɉl$ jLHuH-p+{HjE3Al$ IkHHu +#I.u INW3HD$xD$hLHHHuH-p/H3ZHT$pHFLIHH =H|$pKH.LHu HMHuH-o/HHJHHuH-o/vH/u HQMH;5ZKHtH=Hu /HeE3ɉ|$ iHuH-8o2#H?iAHL-MHHuH-o3Hqy3qH.u HLH <HT$PE3H|$HIL|$PmHHuH-n5HHsIHHu)5H.H-knu H0LM8$H.u HLH;=Jt$H;HuH- n5H#H?h3E3ɉl$ AI iHHuH-m8H ;HT$`E3Hl$XIHt$`lH.Hu HmKHuH-m8HHnHLHuH-om8NH/u H)KL;52IHt_H:I~uL8H-.mI.u IJHtH/u HJLH D373MtIImu IJL$L$H$H$H$MtI,$u InJL$MtI/u IRJHH$H3*HA_[H\$Hl$Ht$WATAUAVAWH@HIH7QHAIE3E33vy <tHZHL5Z:HTPAHuy >H YHL5YH6HH; Gu!H ?HH(H CCHSLHu CgH \8MHAH9F6uH=E6HtHH_@H_HLCDHH8HHH 5H=5HtHBBH 7H0kHHu%BHuH FGH'TLH CHu DHH lHHu$DH/H5jHRHxH/u H>HHeCHHu GGH^LHPCx2H\MH9CxH~^MH"CGdHGH;FuHAH FH;u HAXH'H FH;u HAXHH6HxDHHH }FH@HHu AH/u HCGH FHT$8Hl$0E3Ht$8IH 8hH.Hu HGHt E3E33HiH+u HFAH5iLH D313MtI.u IFMtI/u IFHtHmu HFH\$pHHl$xH$H@A_A^A]A\_H\$Ht$WH0HAHH{XHLMtAAFHHu H5:hE3HHeHHu H5hH/u HEH;CuH DHH ?H DH9KH;uH$H@HHH+u HoEH4LH=eHHH5zgHtH/u H6ELH 3AN3H\$HHt$PH0_E3HD$ IH\$(HT$(fHH^H+H5guHH/u HDHH\$HHt$PH0_@VWATAUAVAWHHw)H3H$HE3HA3LLHUHLMtAqDH$LH$Hu 3L;5.C3L;5"B3L;5C u ID؅y$I.H5fICI.u ICtE3H$HHLd$hHL|$pH?L HD$hHaHMtI,$u IN@H+u H?@Hu)H5cbI.u I@HH "NHT$8E3Ht$8IHl$@=H.Hu H?Hmu H?Hu AIH?HHuH5aH/u`H?UH/u Hq?HHHuVH]?KHHHu@HG?5?HHu'H5[aLH D33MtImu I?MtI/u I>H$HH$H$H3YHĘA_A^A]A\_^H\$Ht$H|$ UATAUAVAWHl$HHu#H3HEH -3HD$XHD$hDDHD$8DHD$@HT$PHALH9)u%H5)HtHHMHD$HHJHMHHD$HL@9HH-HHH T)H5U)HtHF8HT$HH ,4`HHu'7HuH J<H+ILD$HH 8HuL%_KIH3;D$`yL%_# H.u HK=D$`u I$IKH*HH; 5;u(H ;HmH ,7L%5_IZ8yL%_H5DHT$`H NE3HD$`AH+\$(HD$ ^HHuL%^PHCHU'LHuL%^% HLl$XIEHu IB<H.u H3<H L+E3HAH9'uL5'MtIH5R@H5RHLFs7LH+HHH N'L5O'MtIB5H *H ^LHu%5HuH 6:HGLH 5MuL%]9 IFIHRLMtAp;HD$8HHuL%d] I.u I;H(L9HI;u+H v9LkHH W5HֻR IELHu H5 H@H;8IMI.u I:H:IHEH;HEH;HELeL}vIDkIL$D MGHPLAHM\LHuhH H 9H;u HAXI'H 9H;u HAXIH3)I6LH0L%[ I/u I9H (E3E3HAH96%u%H=5%HtHHFHD$HHJHFHHD$HL@4HHt(HHH $H=$HtHFb3HT$HH N([HHu';3HuH 7HDLD$HH b3HHuL%[ H*8H9Gu#LgHHGHI$HH*u83HLd$xHH]H?HT$xHAL+E3L HYLMtI,$u IY8H/u HJ83MuL%lZ $H7HD$HH9Fu(LfLnLd$8IEI$H.u H73LHt$HHD$XHE3HELmLu2HHuL%YHjLHUHGHALL+IHHHL}H?L M5HMtImu I]7E3I.u IK7E3I/u I97E3H/u H'73I,$u I7H\$8HuL%4YH.u H6H$HH; 4u(H 5HH 0L%X |HT$P@HHuL%X YLHL; 4fH;4YH 05LaMIHBH 0L%vX IH *MHHuL%NX IH *%HD$8HuL%$X 0HD$HHHHuL%W HT$8LpI6E3HP HHL$8HHu5Ll$PI>MvIHHHHHH\$hHt H(u[5AHI3xau[H"HH;=3iH );HHoHH2YH/u H43t,IIHD$HH(u HL$84IEIH<HT$pH FE3HD$pAH#|$(HD$ VHHu H;HH<HD$0HHu HHL$XHHu/4H.u H 4H 9#33HAH9uL=MtIL5J@L5JIMF_/LH"HHH L=MtIB-H "I VLHu%-HuH "2H?MH -Mu IGIHILMtAc3LLHu I/u I3H; 1LILD=J0IH`3HEH4HEH3HELmL}ID־IMD MGHPLAHMTLHuL%TzI/u Iy2H !E3Ht$`HAH97u*L6LT$@MtIH?HD$PHOH?HHD$PL@-LHD$@H+!HHH LMtIP,HT$PH !HTHD$@LHu,+HuH Y0H:=LD$PH ,LT$@IMuL%ScH0I9Bu1IJIBHL$`HD$@HIHLH*u J1LT$@3HD$`HUHEHHHuHAL+H?L E3I-RHL$`LHt H)u0HL$@H)u03HL$@MuL%SH0I9D$u!It$Mt$HII)<$u I03HD$XHE3HEHuLmX+HD$@LHuwL%RHD$03HD$XHD$HH\$hHD$8HtH.u H(0MtImu I0MtI.u I/HT$8HkHDHUIBHAML+IHHHL}H?L -HHtH.u H/Imu I/I/u Iz/HL$@E3H)uf/3I.HL$@u IP/Hu H/u H2/HD$HHHH(u HL$8/H|$XH/u H/HtH+u H.HHMH3oL$I[0Is@I{HIA_A^A]A\]H /-L(HaH )  HT$8L%PH*u Hr.MtI/u I^.HtH/u HJ.HL$@Ht H)u4.HD$hH `H|$XMDHD$h3聺H\$h3HH\$Ht$H|$ UATAUAVAWHl$HHH3HE/E3E3E3HE-H r"载HHu #" HHH; +u!H 9,H³H '#H(؅y #}H.u H/-H H(+H9u(H +LyHH e'& HH !HHu &a H [HL*H 7LHuH=N&H.u H,IGH;*III/u Ic,H,HHEH~-HEHK-HEH}HuBHD7HOD LFH=LAHMRNLHulH=#N%cH *H;u HAXI'H *H;u HAXIHI(HH-H=M&H.u H+H P*HULeE3L}IH wLI/Hu IE+Hu $E3E33HEMH+u H+$HH HHu )AHH W؅y ) H.u H*~HH QĺHHu *)H>AHVy *toH:AHVy *tJH@AHcVy *dt%H|;AH>V؅y *=3H.u H)HH LHu +[H)IIM#HHu +I/u I)L9fv HFHH23 $LHu3IHB&I/Hu IH)HuH=lK+E3H.u H )HHUHE3H @6IHEH]&H+Hu H(H+u H(Hu +WHM؅y +H.u H(\H 3HAH9uL5MtIH;@Hw;HLC#LH`HHH ]L5^MtIBN"H ?HJLHu%)"HuH &Hv3LH R"IMu ,gH!'DI9Fu"IvIIFLHHH)u'E3WHuHEl"LHuH=I,H4HUID$JMI+IMHII?L H} %HHtH.u H'I,$u I 'I.u I&Hu ,H %HULmE3H}IH GH/Hu H&Hu ,=E3E33HHH+u H&,HHH; {$u!H *%HH r /!y /HHH; *$u!H $HH ! 0H?0HHu 0tAHHQ؅y$0H.H=GNH%@H.u H%VH L#HI;u(H #LHH 2HE0LHu 2H@MH;e#IH&HHEH&HEHd%HEL}H}IDHOD MGH'LAHM GLH43I/H=F5I$E3HtH.u Hw$MtI/u Ic$MtI.u IO$MI,$I2$H #H;u HAXI'H '#H;u HAXIH@I LH4sI/u I#H "HULeE3LuIH DI.Hu I#Ht E3E33HEH+u Hn#3H=ELH D3辯MtImu I9#3 H>!HHM/H3L$I[0Is@I{HIA_A^A]A\]@WAWHH:@E3H\$`HHl$hHt$xHLt$@E~HH=?@HHAD>D>E3AEEك|@AA3D s ADX>| HDҸ$;|3DHHHsHHuw33H H HT$ HD$ $<=*(A tb HD#HHD;u7HD$ ":u%H @HHHs HHAsJHD$ ":u?AAH%<H)HH# `H Y<v HH JAsHD$ Hs H5.H\$(3Hl$0Ht$8H_̸39$% % % % % % % % % % % % % % % ̰3ffff%@UH HM@H ]l@UH HM ZH ]@UH HH ]@UH0HHHL$(T$ L hLEpUhHM` H0]@UHH3Ɂ8] p V @ *  ̨ ~ d P * 4 > V  Χ $ p ؗ  4 T n ̘  . > P b t ֙  & 8 H ` p š ֚  " 8 N h v ʛ ܛ $ 6 H V d r Ĝ  & 4 @ R ^ p ҝ  4 H \ p О V $ 8 P j ҟ  8 V f z Ġ Ҡ   4 J ` r Ρ  : X t Ƣ ܢ ( @ N \ p ģ   , H ^ t Ԥ " 8 T h z ¥ ޥ   $ 6 F V f t Ȧ ڦ 8 > *  Ė n Z J &  ؕ ʕ z R f   ڔ ʔ z j Z F ,   Ppp Return boolean whether a timestamp occurs on the year start. Parameters ---------- ts : Timestamp The timestamp to check. See Also -------- is_year_end : Return boolean whether a timestamp occurs on the year end. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.Hour(5) >>> freq.is_year_start(ts) True is_year_start Return boolean whether a timestamp occurs on the year end. Parameters ---------- ts : Timestamp The timestamp to check. See Also -------- is_year_start : Return boolean whether a timestamp occurs on the year start. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.Hour(5) >>> freq.is_year_end(ts) False is_year_end Given a datetime (or Timestamp) `stamp`, an integer `months` and an option `day_opt`, return a new datetimelike that many months later, with day determined by `day_opt` using relativedelta semantics. Scalar analogue of shift_months. Parameters ---------- stamp : datetime or Timestamp months : int day_opt : None, 'start', 'end', 'business_start', 'business_end', or int None: returned datetimelike has the same day as the input, or the last day of the month if the new month is too short 'start': returned datetimelike has day=1 'end': returned datetimelike has day on the last day of the month 'business_start': returned datetimelike has day on the first business day of the month 'business_end': returned datetimelike has day on the last business day of the month int: returned datetimelike has day equal to day_opt Returns ------- shifted : datetime or Timestamp (same as input `stamp`) shift_month__reduce_cython__apply_wraps__setstate_cython__wrapper_from_name Possibly increment or decrement the number of periods to shift based on rollforward/rollbackward conventions. Parameters ---------- other : int, generally the day component of a datetime n : number of periods to increment, before adjusting for rolling compare : int, generally the day component of a datetime, in the same month as the datetime form which `other` was taken. Returns ------- n : int number of periods to increment roll_conventionget_str Possibly increment or decrement the number of periods to shift based on rollforward/rollbackward conventions. Parameters ---------- other : datetime or Timestamp n : number of periods to increment, before adjusting for rolling month : int reference month giving the first month of the year day_opt : {'start', 'end', 'business_start', 'business_end'} The convention to use in finding the day in a given month against which to compare for rollforward/rollbackward decisions. modby : int 3 for quarters, 12 for years Returns ------- n : int number of periods to increment See Also -------- get_day_of_month : Find the day in a month provided an offset. __reduce__roll_qtrday00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899000102030405060710111213141516172021222324252627303132333435363740414243444546475051525354555657606162636465666770717273747576770123456789abcdef0123456789ABCDEFnmonth__pyx_unpickle_BaseOffset Return boolean whether a timestamp intersects with this frequency. This method checks if a given datetime falls on a valid year boundary as defined by this offset. Parameters ---------- dt : datetime Timestamp to check intersections with frequency. Returns ------- bool True if the timestamp is on the offset, False otherwise. See Also -------- YearEnd.is_on_offset : Check if a timestamp is at the end of a year. YearBegin.is_on_offset : Check if a timestamp is at the start of a year. BYearEnd.is_on_offset : Check if a timestamp is at the end of a business year. BYearBegin.is_on_offset : Check if a timestamp is at the start of a business year. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.YearBegin() >>> freq.is_on_offset(ts) True >>> freq = pd.offsets.BYearBegin() >>> freq.is_on_offset(ts) False >>> ts = pd.Timestamp(2022, 1, 3) >>> freq.is_on_offset(ts) True __pyx_unpickle_RelativeDeltaOffset_next_higher_resolution_as_pd_timedelta__add____radd____sub____rsub____mul____rmul__ Return the count of the number of periods. This represents how many multiples of the offset frequency should be applied. For example, ``Hour(5)`` has ``n=5``. See Also -------- DateOffset.normalize : Return boolean whether the frequency can align with midnight. Examples -------- >>> pd.offsets.Hour(5).n 5 >>> pd.offsets.Day(3).n 3 normalize Return boolean whether the frequency can align with midnight. This is True for offsets that round the result of a DateOffset addition down to the previous midnight. See Also -------- tseries.offsets.DateOffset : The standard kind of date increment. Examples -------- >>> pd.offsets.Hour(5).normalize False >>> pd.offsets.Day(5).normalize False kwds Return a dict of extra parameters for the offset. These parameters exclude ``n`` and ``normalize``, which are common to all offsets. The returned dictionary can be passed to the offset constructor to recreate the offset with the same settings. See Also -------- tseries.offsets.DateOffset : The base class for all pandas date offsets. tseries.offsets.WeekOfMonth : Represents the week of the month. tseries.offsets.LastWeekOfMonth : Represents the last week of the month. Examples -------- >>> pd.DateOffset(5).kwds {} >>> pd.offsets.FY5253Quarter().kwds {'weekday': 0, 'startingMonth': 1, 'qtr_with_extra_week': 1, 'variation': 'nearest'} base Returns a copy of the calling offset object with n=1 and all other attributes equal. Return a string representing the base frequency. See Also -------- tseries.offsets.Week : Represents a weekly offset. DateOffset : Base class for all other offset classes. tseries.offsets.Day : Represents a single day offset. tseries.offsets.MonthEnd : Represents a monthly offset that snaps to the end of the month. Examples -------- >>> pd.offsets.Hour().name 'h' >>> pd.offsets.Hour(5).name 'h' _prefixrule_code Return a string representing the base frequency. See Also -------- tseries.offsets.Hour.rule_code : Returns a string representing the base frequency of 'h'. tseries.offsets.Day.rule_code : Returns a string representing the base frequency of 'D'. Examples -------- >>> pd.offsets.Hour().rule_code 'h' >>> pd.offsets.Week(5).rule_code 'W' Returns an integer of the total number of nanoseconds for fixed frequencies. Raises ------ ValueError If the frequency is non-fixed. See Also -------- tseries.offsets.Hour.nanos : Returns an integer of the total number of nanoseconds. tseries.offsets.Day.nanos : Returns an integer of the total number of nanoseconds. Examples -------- >>> pd.offsets.Week(n=1).nanos ValueError: Week: weekday=None is a non-fixed frequency _n_normalize_cache Base class for DateOffset methods that are not overridden by subclasses. Parameters ---------- n : int Number of multiples of the frequency. normalize : bool Whether the frequency can align with midnight. Examples -------- >>> pd.offsets.Hour(5).n 5 >>> pd.offsets.Hour(5).normalize False pandas._libs.tslibs.offsets.BaseOffsetpandas._libs.tslibs.offsets.SingleConstructorOffset Return boolean whether a timestamp intersects with this frequency. This method determines if a given timestamp falls on a business day (Monday through Friday). If ``normalize`` is True, it also checks that the time component is midnight. Parameters ---------- dt : datetime Timestamp to check intersection with frequency. Returns ------- bool True if the timestamp is on a business day, False otherwise. See Also -------- tseries.offsets.BusinessDay : Represents business day offset. tseries.offsets.CustomBusinessDay : Represents custom business day offset. Examples -------- >>> ts = pd.Timestamp(2022, 8, 5) >>> ts.day_name() 'Friday' >>> pd.offsets.BusinessDay().is_on_offset(ts) True >>> ts = pd.Timestamp(2022, 8, 6) >>> ts.day_name() 'Saturday' >>> pd.offsets.BusinessDay().is_on_offset(ts) False With ``normalize=True``, the timestamp must also be at midnight: >>> ts = pd.Timestamp(2022, 8, 5, 12, 0) >>> pd.offsets.BusinessDay(normalize=True).is_on_offset(ts) False >>> ts = pd.Timestamp(2022, 8, 5, 0, 0) >>> pd.offsets.BusinessDay(normalize=True).is_on_offset(ts) True Find the day in the same month as other that has the same weekday as self.weekday and is the self.week'th such day in the month. Parameters ---------- other : datetime Returns ------- day : int __truediv____rtruediv__ Returns an integer of the total number of nanoseconds. See Also -------- tseries.offsets.Hour.nanos : Returns an integer of the total number of nanoseconds. tseries.offsets.Day.nanos : Returns an integer of the total number of nanoseconds. Examples -------- >>> pd.offsets.Hour(5).nanos 18000000000000 Base class for fixed frequency offsets (Milli, Micro, Second, Minute, Hour). This class should not be instantiated directly. Use one of the specific Tick subclasses for a concrete offset. Attributes ---------- n : int, default 1 The number of units (hours, minutes, etc.) the offset represents. See Also -------- Hour : Offset ``n`` hours. Minute : Offset ``n`` minutes. Second : Offset ``n`` seconds. Milli : Offset ``n`` milliseconds. Micro : Offset ``n`` microseconds. Nano : Offset ``n`` nanoseconds. Examples -------- >>> from pandas.tseries.offsets import Hour, Minute >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Hour(1) Timestamp('2022-12-09 16:00:00') >>> ts + Minute(30) Timestamp('2022-12-09 15:30:00') pandas._libs.tslibs.offsets.Tick Offset ``n`` days. Attributes ---------- n : int, default 1 The number of days represented. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- You can use the parameter ``n`` to represent a shift of n days. >>> from pandas.tseries.offsets import Day >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Day() Timestamp('2022-12-10 15:00:00') >>> ts - Day(4) Timestamp('2022-12-05 15:00:00') >>> ts + Day(-4) Timestamp('2022-12-05 15:00:00') pandas._libs.tslibs.offsets.Day Offset ``n`` hours. Attributes ---------- n : int, default 1 The number of hours represented. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- You can use the parameter ``n`` to represent a shift of n hours. >>> from pandas.tseries.offsets import Hour >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Hour() Timestamp('2022-12-09 16:00:00') >>> ts - Hour(4) Timestamp('2022-12-09 11:00:00') >>> ts + Hour(-4) Timestamp('2022-12-09 11:00:00') pandas._libs.tslibs.offsets.Hour Offset ``n`` minutes. Attributes ---------- n : int, default 1 The number of minutes represented. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- You can use the parameter ``n`` to represent a shift of n minutes. >>> from pandas.tseries.offsets import Minute >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Minute(n=10) Timestamp('2022-12-09 15:10:00') >>> ts - Minute(n=10) Timestamp('2022-12-09 14:50:00') >>> ts + Minute(n=-10) Timestamp('2022-12-09 14:50:00') pandas._libs.tslibs.offsets.Minutenanos Offset ``n`` seconds. Attributes ---------- n : int, default 1 The number of seconds represented. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- You can use the parameter ``n`` to represent a shift of n seconds. >>> from pandas.tseries.offsets import Second >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Second(n=10) Timestamp('2022-12-09 15:00:10') >>> ts - Second(n=10) Timestamp('2022-12-09 14:59:50') >>> ts + Second(n=-10) Timestamp('2022-12-09 14:59:50') pandas._libs.tslibs.offsets.Second__new__ Offset ``n`` milliseconds. Attributes ---------- n : int, default 1 The number of milliseconds represented. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- You can use the parameter ``n`` to represent a shift of n milliseconds. >>> from pandas.tseries.offsets import Milli >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Milli(n=10) Timestamp('2022-12-09 15:00:00.010000') >>> ts - Milli(n=10) Timestamp('2022-12-09 14:59:59.990000') >>> ts + Milli(n=-10) Timestamp('2022-12-09 14:59:59.990000') pandas._libs.tslibs.offsets.Milli Offset ``n`` microseconds. Attributes ---------- n : int, default 1 The number of microseconds represented. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- You can use the parameter ``n`` to represent a shift of n microseconds. >>> from pandas.tseries.offsets import Micro >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Micro(n=1000) Timestamp('2022-12-09 15:00:00.001000') >>> ts - Micro(n=1000) Timestamp('2022-12-09 14:59:59.999000') >>> ts + Micro(n=-1000) Timestamp('2022-12-09 14:59:59.999000') pandas._libs.tslibs.offsets.Micro Offset ``n`` nanoseconds. Attributes ---------- n : int, default 1 The number of nanoseconds represented. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- You can use the parameter ``n`` to represent a shift of n nanoseconds. >>> from pandas.tseries.offsets import Nano >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts Timestamp('2022-12-09 15:00:00') >>> ts + Nano(n=1000) Timestamp('2022-12-09 15:00:00.000001') >>> ts - Nano(n=1000) Timestamp('2022-12-09 14:59:59.999999') >>> ts + Nano(n=-1000) Timestamp('2022-12-09 14:59:59.999999') pandas._libs.tslibs.offsets.Nano DateOffset subclass backed by a dateutil relativedelta object. pandas._libs.tslibs.offsets.RelativeDeltaOffset Alias for self._offset. holidays Return the holidays used for custom business day calculations. This property returns a tuple or list of holidays used when calculating business days for custom business day offsets. For non-custom business offsets (e.g., standard BusinessDay, BusinessHour), this will be None. Returns ------- tuple, list, or None Holidays used in business day calculations, or None if no custom holidays are specified. See Also -------- BusinessDay.holidays : Holidays for standard business day offset. BusinessHour.holidays : Holidays for standard business hour offset. CustomBusinessDay.holidays : Holidays for custom business day offset. CustomBusinessHour.holidays : Holidays for custom business hour offset. CustomBusinessMonthEnd.holidays : Holidays for custom business month end offset. CustomBusinessMonthBegin.holidays : Holidays for custom business month begin offset. CustomBusinessDay.weekmask : Weekmask for custom business day offset. CustomBusinessDay.calendar : Calendar for custom business day offset. Examples -------- For standard business offsets, holidays is None: >>> bd = pd.offsets.BusinessDay() >>> bd.holidays is None True >>> bh = pd.offsets.BusinessHour() >>> bh.holidays is None True For custom business day with explicit holidays: >>> holidays = [pd.Timestamp("2023-12-25"), pd.Timestamp("2024-01-01")] >>> cbd = pd.offsets.CustomBusinessDay(holidays=holidays) >>> cbd.holidays # doctest: +SKIP (Timestamp('2023-12-25 00:00:00'), Timestamp('2024-01-01 00:00:00')) For custom business hour with explicit holidays: >>> cbh = pd.offsets.CustomBusinessHour(holidays=holidays) >>> cbh.holidays # doctest: +SKIP (Timestamp('2023-12-25 00:00:00'), Timestamp('2024-01-01 00:00:00')) For custom business month end with explicit holidays: >>> cbme = pd.offsets.CustomBusinessMonthEnd(holidays=holidays) >>> cbme.holidays # doctest: +SKIP (Timestamp('2023-12-25 00:00:00'), Timestamp('2024-01-01 00:00:00')) For custom business month begin with explicit holidays: >>> cbmb = pd.offsets.CustomBusinessMonthBegin(holidays=holidays) >>> cbmb.holidays # doctest: +SKIP (Timestamp('2023-12-25 00:00:00'), Timestamp('2024-01-01 00:00:00')) For custom business offsets with a calendar: >>> from pandas.tseries.holiday import USFederalHolidayCalendar >>> cal = USFederalHolidayCalendar() >>> cbd_cal = pd.offsets.CustomBusinessDay(calendar=cal) >>> isinstance(cbd_cal.holidays, tuple) True >>> cbh_cal = pd.offsets.CustomBusinessHour(calendar=cal) >>> isinstance(cbh_cal.holidays, tuple) True calendar Return the calendar used for business day calculations. This property returns the numpy busdaycalendar object used for determining valid business days. For standard business day offsets (e.g., BusinessDay, BusinessHour), this returns None. For custom business day offsets, this returns the calendar that was either passed directly or constructed from weekmask and holidays. Returns ------- np.busdaycalendar or None The business day calendar used for calculations, or None if using default business day rules. See Also -------- BusinessDay.holidays : Holidays for standard business day offset. CustomBusinessDay.holidays : Holidays for custom business day offset. CustomBusinessDay.weekmask : Weekmask for custom business day offset. Examples -------- For standard business offsets, calendar is None: >>> bd = pd.offsets.BusinessDay() >>> bd.calendar is None True >>> bh = pd.offsets.BusinessHour() >>> bh.calendar is None True For custom business day with explicit holidays: >>> holidays = [pd.Timestamp("2023-12-25"), pd.Timestamp("2024-01-01")] >>> cbd = pd.offsets.CustomBusinessDay(holidays=holidays) >>> isinstance(cbd.calendar, np.busdaycalendar) True weekmask Return the weekmask used for custom business day calculations. This property returns the weekmask string that defines which days of the week are considered business days. For non-custom business offsets (e.g., standard BusinessDay, BusinessHour), this will be None. For custom business day offsets, this returns the weekmask that was specified or the default 'Mon Tue Wed Thu Fri'. Returns ------- str or None String representing valid business days (e.g., 'Mon Tue Wed Thu Fri'), or None if using default business day rules. See Also -------- BusinessDay.holidays : Holidays for standard business day offset. CustomBusinessDay.holidays : Holidays for custom business day offset. CustomBusinessDay.calendar : Calendar for custom business day offset. Examples -------- For standard business offsets, weekmask is None: >>> bd = pd.offsets.BusinessDay() >>> bd.weekmask is None True >>> bh = pd.offsets.BusinessHour() >>> bh.weekmask is None True For custom business day with default weekmask: >>> cbd = pd.offsets.CustomBusinessDay() >>> cbd.weekmask 'Mon Tue Wed Thu Fri' For custom business day with custom weekmask: >>> cbd = pd.offsets.CustomBusinessDay(weekmask="Mon Wed Fri") >>> cbd.weekmask 'Mon Wed Fri' _weekmask_holidays_calendar Mixin to business types to provide related functions. pandas._libs.tslibs.offsets.BusinessMixin DateOffset subclass representing possibly n business days. Parameters ---------- n : int, default 1 The number of days represented. normalize : bool, default False Normalize start/end dates to midnight. offset : timedelta, default timedelta(0) Time offset to apply. Examples -------- You can use the parameter ``n`` to represent a shift of n business days. >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts.strftime('%a %d %b %Y %H:%M') 'Fri 09 Dec 2022 15:00' >>> (ts + pd.offsets.BusinessDay(n=5)).strftime('%a %d %b %Y %H:%M') 'Fri 16 Dec 2022 15:00' Passing the parameter ``normalize`` equal to True, you shift the start of the next business day to midnight. >>> ts = pd.Timestamp(2022, 12, 9, 15) >>> ts + pd.offsets.BusinessDay(normalize=True) Timestamp('2022-12-12 00:00:00') pandas._libs.tslibs.offsets.BusinessDaystart Return the start time(s) of the business hour. This property returns a tuple of `datetime.time` objects representing the start times of business hours. See Also -------- BusinessHour.end : Return the end time(s) of the business hour. CustomBusinessHour.end : Return the end time(s) of the custom business hour. Examples -------- >>> pd.offsets.BusinessHour().start (datetime.time(9, 0),) end Return the end time(s) of the business hour. This property returns a tuple of `datetime.time` objects representing the end times of business hours. See Also -------- BusinessHour.start : Return the start time(s) of the business hour. CustomBusinessHour.start : Return the start time(s) of the custom business hour. Examples -------- >>> pd.offsets.BusinessHour().end (datetime.time(17, 0),) _start_end DateOffset subclass representing possibly n business hours. Parameters ---------- n : int, default 1 The number of hours represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. start : str, time, or list of str/time, default "09:00" Start time of your custom business hour in 24h format. end : str, time, or list of str/time, default: "17:00" End time of your custom business hour in 24h format. offset : timedelta, default timedelta(0) Time offset to apply. Examples -------- You can use the parameter ``n`` to represent a shift of n hours. >>> ts = pd.Timestamp(2022, 12, 9, 8) >>> ts + pd.offsets.BusinessHour(n=5) Timestamp('2022-12-09 14:00:00') You can also change the start and the end of business hours. >>> ts = pd.Timestamp(2022, 8, 5, 16) >>> ts + pd.offsets.BusinessHour(start="11:00") Timestamp('2022-08-08 11:00:00') >>> from datetime import time as dt_time >>> ts = pd.Timestamp(2022, 8, 5, 22) >>> ts + pd.offsets.BusinessHour(end=dt_time(19, 0)) Timestamp('2022-08-08 10:00:00') Passing the parameter ``normalize`` equal to True, you shift the start of the next business hour to midnight. >>> ts = pd.Timestamp(2022, 12, 9, 8) >>> ts + pd.offsets.BusinessHour(normalize=True) Timestamp('2022-12-09 00:00:00') You can divide your business day hours into several parts. >>> import datetime as dt >>> freq = pd.offsets.BusinessHour(start=["06:00", "10:00", "15:00"], ... end=["08:00", "12:00", "17:00"]) >>> pd.date_range(dt.datetime(2022, 12, 9), dt.datetime(2022, 12, 13), freq=freq) DatetimeIndex(['2022-12-09 06:00:00', '2022-12-09 07:00:00', '2022-12-09 10:00:00', '2022-12-09 11:00:00', '2022-12-09 15:00:00', '2022-12-09 16:00:00', '2022-12-12 06:00:00', '2022-12-12 07:00:00', '2022-12-12 10:00:00', '2022-12-12 11:00:00', '2022-12-12 15:00:00', '2022-12-12 16:00:00'], dtype='datetime64[ns]', freq='bh') pandas._libs.tslibs.offsets.BusinessHour Return a string representing the base frequency. See Also -------- tseries.offsets.Hour.rule_code : Returns a string representing the base frequency of 'h'. tseries.offsets.Day.rule_code : Returns a string representing the base frequency of 'D'. Examples -------- >>> pd.offsets.Week(5).rule_code 'W' >>> pd.offsets.WeekOfMonth(n=1, week=0, weekday=0).rule_code 'WOM-1MON' weekdayweek Mixin for methods common to WeekOfMonth and LastWeekOfMonth. pandas._libs.tslibs.offsets.WeekOfMonthMixin Return the month of the year on which this offset applies. Returns an integer representing the month (1-12) that this offset targets. For year-based offsets, this determines which month is used for calculations. See Also -------- tseries.offsets.YearEnd : Offset to end of year. tseries.offsets.YearBegin : Offset to start of year. tseries.offsets.BYearEnd : Offset to last business day of year. tseries.offsets.BYearBegin : Offset to first business day of year. Examples -------- >>> pd.offsets.BYearBegin().month 1 >>> pd.offsets.BYearBegin(month=6).month 6 Return a string representing the base frequency. See Also -------- tseries.offsets.Hour.rule_code : Returns a string representing the base frequency of 'h'. tseries.offsets.Day.rule_code : Returns a string representing the base frequency of 'D'. Examples -------- >>> pd.tseries.offsets.YearBegin(n=1, month=2).rule_code 'YS-FEB' >>> pd.tseries.offsets.YearEnd(n=1, month=6).rule_code 'YE-JUN' _month DateOffset that just needs a month. pandas._libs.tslibs.offsets.YearOffset DateOffset increments between the last business day of the year. Attributes ---------- n : int, default 1 The number of years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. month : int, default 12 A specific integer for the month of the year. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> from pandas.tseries.offsets import BYearEnd >>> ts = pd.Timestamp('2020-05-24 05:01:15') >>> ts - BYearEnd() Timestamp('2019-12-31 05:01:15') >>> ts + BYearEnd() Timestamp('2020-12-31 05:01:15') >>> ts + BYearEnd(3) Timestamp('2022-12-30 05:01:15') >>> ts + BYearEnd(-3) Timestamp('2017-12-29 05:01:15') >>> ts + BYearEnd(month=11) Timestamp('2020-11-30 05:01:15') pandas._libs.tslibs.offsets.BYearEnd DateOffset increments between the first business day of the year. Attributes ---------- n : int, default 1 The number of years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. month : int, default 1 A specific integer for the month of the year. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> from pandas.tseries.offsets import BYearBegin >>> ts = pd.Timestamp('2020-05-24 05:01:15') >>> ts + BYearBegin() Timestamp('2021-01-01 05:01:15') >>> ts - BYearBegin() Timestamp('2020-01-01 05:01:15') >>> ts + BYearBegin(-1) Timestamp('2020-01-01 05:01:15') >>> ts + BYearBegin(2) Timestamp('2022-01-03 05:01:15') >>> ts + BYearBegin(month=11) Timestamp('2020-11-02 05:01:15') pandas._libs.tslibs.offsets.BYearBegin_period_dtype_codepandas._libs.tslibs.offsets._YearEnd DateOffset increments between calendar year begin dates. YearBegin goes to the next date which is the start of the year. Attributes ---------- n : int, default 1 The number of years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. month : int, default 1 A specific integer for the month of the year. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 12, 1) >>> ts + pd.offsets.YearBegin() Timestamp('2023-01-01 00:00:00') >>> ts = pd.Timestamp(2023, 1, 1) >>> ts + pd.offsets.YearBegin() Timestamp('2024-01-01 00:00:00') >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.YearBegin(month=2) Timestamp('2022-02-01 00:00:00') If you want to get the start of the current year: >>> ts = pd.Timestamp(2023, 1, 1) >>> pd.offsets.YearBegin().rollback(ts) Timestamp('2023-01-01 00:00:00') pandas._libs.tslibs.offsets.YearBeginstartingMonth Return the month of the year from which quarters start. This value determines which month marks the beginning of a quarterly period. For example, with startingMonth=1, quarters start in January, April, July, and October. See Also -------- QuarterOffset.rule_code : Return the rule code for the quarter offset. HalfYearOffset.startingMonth : Similar property for half-year-based offsets. Examples -------- >>> pd.offsets.BQuarterBegin().startingMonth 3 >>> pd.offsets.QuarterEnd().startingMonth 3 >>> pd.offsets.QuarterBegin(startingMonth=1).startingMonth 1 Return a string representing the frequency with month suffix. This property generates a rule code string that combines the offset's prefix with the abbreviated month name of the starting month. Returns ------- str Rule code string with format 'PREFIX-MONTH', where PREFIX is the offset's frequency abbreviation and MONTH is the three-letter abbreviation of the starting month. See Also -------- BQuarterBegin.rule_code : Rule code for business quarter begin offset. BQuarterEnd.rule_code : Rule code for business quarter end offset. QuarterBegin.rule_code : Rule code for quarter begin offset. QuarterEnd.rule_code : Rule code for quarter end offset. FY5253Quarter.get_rule_code_suffix : Suffix component of rule code for FY5253Quarter. FY5253.get_rule_code_suffix : Suffix component of rule code for FY5253. Examples -------- Business quarter begin with different starting months: >>> bqb = pd.offsets.BQuarterBegin(startingMonth=1) >>> bqb.rule_code 'BQS-JAN' >>> bqb = pd.offsets.BQuarterBegin(startingMonth=2) >>> bqb.rule_code 'BQS-FEB' >>> bqb = pd.offsets.BQuarterBegin(startingMonth=3) >>> bqb.rule_code 'BQS-MAR' Business quarter end with different starting months: >>> bqe = pd.offsets.BQuarterEnd(startingMonth=1) >>> bqe.rule_code 'BQE-JAN' >>> bqe = pd.offsets.BQuarterEnd(startingMonth=12) >>> bqe.rule_code 'BQE-DEC' Quarter begin with different starting months: >>> qb = pd.offsets.QuarterBegin(startingMonth=1) >>> qb.rule_code 'QS-JAN' >>> qb = pd.offsets.QuarterBegin(startingMonth=3) >>> qb.rule_code 'QS-MAR' Quarter end with different starting months: >>> qe = pd.offsets.QuarterEnd(startingMonth=1) >>> qe.rule_code 'QE-JAN' >>> qe = pd.offsets.QuarterEnd(startingMonth=3) >>> qe.rule_code 'QE-MAR' _startingMonthpandas._libs.tslibs.offsets.QuarterOffset Find the day in the same month as other that has the same weekday as self.weekday and is the last such day in the month. Parameters ---------- other: datetime Returns ------- day: int DateOffset increments between the last business day of each Quarter. startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, ... startingMonth = 2 corresponds to dates like 2/28/2007, 5/31/2007, ... startingMonth = 3 corresponds to dates like 3/30/2007, 6/29/2007, ... Attributes ---------- n : int, default 1 The number of quarters represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 3 A specific integer for the month of the year from which we start quarters. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> from pandas.tseries.offsets import BQuarterEnd >>> ts = pd.Timestamp('2020-05-24 05:01:15') >>> ts + BQuarterEnd() Timestamp('2020-06-30 05:01:15') >>> ts + BQuarterEnd(2) Timestamp('2020-09-30 05:01:15') >>> ts + BQuarterEnd(1, startingMonth=2) Timestamp('2020-05-29 05:01:15') >>> ts + BQuarterEnd(startingMonth=2) Timestamp('2020-05-29 05:01:15') pandas._libs.tslibs.offsets.BQuarterEnd DateOffset increments between the first business day of each Quarter. startingMonth = 1 corresponds to dates like 1/01/2007, 4/01/2007, ... startingMonth = 2 corresponds to dates like 2/01/2007, 5/01/2007, ... startingMonth = 3 corresponds to dates like 3/01/2007, 6/01/2007, ... Attributes ---------- n : int, default 1 The number of quarters represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 3 A specific integer for the month of the year from which we start quarters. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> from pandas.tseries.offsets import BQuarterBegin >>> ts = pd.Timestamp('2020-05-24 05:01:15') >>> ts + BQuarterBegin() Timestamp('2020-06-01 05:01:15') >>> ts + BQuarterBegin(2) Timestamp('2020-09-01 05:01:15') >>> ts + BQuarterBegin(startingMonth=2) Timestamp('2020-08-03 05:01:15') >>> ts + BQuarterBegin(-1) Timestamp('2020-03-02 05:01:15') pandas._libs.tslibs.offsets.BQuarterBegin DateOffset increments between Quarter end dates. startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, ... startingMonth = 2 corresponds to dates like 2/28/2007, 5/31/2007, ... startingMonth = 3 corresponds to dates like 3/31/2007, 6/30/2007, ... Attributes ---------- n : int, default 1 The number of quarters represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 3 A specific integer for the month of the year from which we start quarters. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.QuarterEnd() Timestamp('2022-03-31 00:00:00') pandas._libs.tslibs.offsets.QuarterEnd DateOffset increments between Quarter start dates. startingMonth = 1 corresponds to dates like 1/01/2007, 4/01/2007, ... startingMonth = 2 corresponds to dates like 2/01/2007, 5/01/2007, ... startingMonth = 3 corresponds to dates like 3/01/2007, 6/01/2007, ... Attributes ---------- n : int, default 1 The number of quarters represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 3 A specific integer for the month of the year from which we start quarters. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.QuarterBegin() Timestamp('2022-03-01 00:00:00') pandas._libs.tslibs.offsets.QuarterBegin Return the month of the year from which half-years start. This value determines which month marks the beginning of a half-year period. For example, with startingMonth=1, half-years start in January and July. See Also -------- HalfYearOffset.rule_code : Return the rule code for the half-year offset. QuarterOffset.startingMonth : Similar property for quarter-based offsets. Examples -------- >>> pd.offsets.BHalfYearBegin().startingMonth 1 >>> pd.offsets.BHalfYearEnd().startingMonth 6 >>> pd.offsets.HalfYearBegin(startingMonth=3).startingMonth 3 Return a string representing the frequency with month suffix. This property generates a rule code string that combines the offset's prefix with the abbreviated month name of the starting month. See Also -------- FY5253Quarter.get_rule_code_suffix : Return the suffix component of the rule code for FY5253Quarter. FY5253.get_rule_code_suffix : Return the suffix component of the rule code for FY5253. Examples -------- >>> offset = pd.offsets.BHalfYearEnd(startingMonth=6) >>> offset.rule_code 'BHYE-JUN' pandas._libs.tslibs.offsets.HalfYearOffset DateOffset increments between the last business day of each half-year. startingMonth = 1 corresponds to dates like 1/31/2007, 7/31/2007, ... startingMonth = 2 corresponds to dates like 2/28/2007, 8/31/2007, ... startingMonth = 6 corresponds to dates like 6/30/2007, 12/31/2007, ... Attributes ---------- n : int, default 1 The number of half-years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 6 A specific integer for the month of the year from which we start half-years. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> from pandas.tseries.offsets import BHalfYearEnd >>> ts = pd.Timestamp('2020-05-24 05:01:15') >>> ts + BHalfYearEnd() Timestamp('2020-06-30 05:01:15') >>> ts + BHalfYearEnd(2) Timestamp('2020-12-31 05:01:15') >>> ts + BHalfYearEnd(1, startingMonth=2) Timestamp('2020-08-31 05:01:15') >>> ts + BHalfYearEnd(startingMonth=2) Timestamp('2020-08-31 05:01:15') pandas._libs.tslibs.offsets.BHalfYearEnd Return boolean whether a timestamp intersects with this frequency. This method checks if the given datetime falls on a quarter boundary as defined by the offset's ``startingMonth`` and day option. Parameters ---------- dt : datetime Timestamp to check intersections with frequency. Returns ------- bool True if the timestamp is on the offset, False otherwise. See Also -------- QuarterOffset : Parent class with quarterly offset logic. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.BQuarterBegin() >>> freq.is_on_offset(ts) False >>> ts = pd.Timestamp(2022, 3, 1) >>> freq.is_on_offset(ts) True DateOffset increments between the first business day of each half-year. startingMonth = 1 corresponds to dates like 1/01/2007, 7/01/2007, ... startingMonth = 2 corresponds to dates like 2/01/2007, 8/01/2007, ... startingMonth = 3 corresponds to dates like 3/01/2007, 9/01/2007, ... Attributes ---------- n : int, default 1 The number of half-years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 1 A specific integer for the month of the year from which we start half-years. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> from pandas.tseries.offsets import BHalfYearBegin >>> ts = pd.Timestamp('2020-05-24 05:01:15') >>> ts + BHalfYearBegin() Timestamp('2020-07-01 05:01:15') >>> ts + BHalfYearBegin(2) Timestamp('2021-01-01 05:01:15') >>> ts + BHalfYearBegin(startingMonth=2) Timestamp('2020-08-03 05:01:15') >>> ts + BHalfYearBegin(-1) Timestamp('2020-01-01 05:01:15') pandas._libs.tslibs.offsets.BHalfYearBegin DateOffset increments between half-year end dates. startingMonth = 1 corresponds to dates like 1/31/2007, 7/31/2007, ... startingMonth = 2 corresponds to dates like 2/28/2007, 8/31/2007, ... startingMonth = 6 corresponds to dates like 6/30/2007, 12/31/2007, ... Attributes ---------- n : int, default 1 The number of half-years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 6 A specific integer for the month of the year from which we start half-years. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.HalfYearEnd() Timestamp('2022-06-30 00:00:00') pandas._libs.tslibs.offsets.HalfYearEnd DateOffset increments between half-year start dates. startingMonth = 1 corresponds to dates like 1/01/2007, 7/01/2007, ... startingMonth = 2 corresponds to dates like 2/01/2007, 8/01/2007, ... startingMonth = 3 corresponds to dates like 3/01/2007, 9/01/2007, ... Attributes ---------- n : int, default 1 The number of half-years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. startingMonth : int, default 1 A specific integer for the month of the year from which we start half-years. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 2, 1) >>> ts + pd.offsets.HalfYearBegin() Timestamp('2022-07-01 00:00:00') pandas._libs.tslibs.offsets.HalfYearBeginpandas._libs.tslibs.offsets.MonthOffset DateOffset of one month end. MonthEnd goes to the next date which is an end of the month. Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 1, 30) >>> ts + pd.offsets.MonthEnd() Timestamp('2022-01-31 00:00:00') >>> ts = pd.Timestamp(2022, 1, 31) >>> ts + pd.offsets.MonthEnd() Timestamp('2022-02-28 00:00:00') If you want to get the end of the current month: >>> ts = pd.Timestamp(2022, 1, 31) >>> pd.offsets.MonthEnd().rollforward(ts) Timestamp('2022-01-31 00:00:00') pandas._libs.tslibs.offsets.MonthEnd DateOffset of one month at beginning. MonthBegin goes to the next date which is a start of the month. Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 11, 30) >>> ts + pd.offsets.MonthBegin() Timestamp('2022-12-01 00:00:00') >>> ts = pd.Timestamp(2022, 12, 1) >>> ts + pd.offsets.MonthBegin() Timestamp('2023-01-01 00:00:00') If you want to get the start of the current month: >>> ts = pd.Timestamp(2022, 12, 1) >>> pd.offsets.MonthBegin().rollback(ts) Timestamp('2022-12-01 00:00:00') pandas._libs.tslibs.offsets.MonthBegin DateOffset increments between the last business day of the month. BusinessMonthEnd goes to the next date which is the last business day of the month. Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 11, 29) >>> ts + pd.offsets.BMonthEnd() Timestamp('2022-11-30 00:00:00') >>> ts = pd.Timestamp(2022, 11, 30) >>> ts + pd.offsets.BMonthEnd() Timestamp('2022-12-30 00:00:00') If you want to get the end of the current business month: >>> ts = pd.Timestamp(2022, 11, 30) >>> pd.offsets.BMonthEnd().rollforward(ts) Timestamp('2022-11-30 00:00:00') pandas._libs.tslibs.offsets.BusinessMonthEnd DateOffset of one month at the first business day. BusinessMonthBegin goes to the next date which is the first business day of the month. Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 11, 30) >>> ts + pd.offsets.BMonthBegin() Timestamp('2022-12-01 00:00:00') >>> ts = pd.Timestamp(2022, 12, 1) >>> ts + pd.offsets.BMonthBegin() Timestamp('2023-01-02 00:00:00') If you want to get the start of the current business month: >>> ts = pd.Timestamp(2022, 12, 1) >>> pd.offsets.BMonthBegin().rollback(ts) Timestamp('2022-12-01 00:00:00') pandas._libs.tslibs.offsets.BusinessMonthBeginday_of_month Return the day of the month for the semi-monthly offset. This specifies the day of the month on which the offset falls, in addition to the start (1st) or end (last day) of the month. See Also -------- SemiMonthBegin : Offset at the start of the month and mid-month. SemiMonthEnd : Offset at mid-month and end of month. Examples -------- >>> pd.offsets.SemiMonthBegin().day_of_month 15 >>> pd.offsets.SemiMonthBegin(day_of_month=20).day_of_month 20 _day_of_monthpandas._libs.tslibs.offsets.SemiMonthOffset Two DateOffset's per month repeating on the last day of the month & day_of_month. This offset allows for flexibility in generating date ranges or adjusting dates to the end of a month or a specific day in the month, such as the 15th or the last day of the month. It is useful for financial or scheduling applications where events occur bi-monthly. Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. day_of_month : int, {1, 3,...,27}, default 15 A specific integer for the day of the month. See Also -------- tseries.offsets.SemiMonthBegin : Offset for semi-monthly frequencies, starting at the beginning of the month. tseries.offsets.MonthEnd : Offset to the last calendar day of the month. tseries.offsets.MonthBegin : Offset to the first calendar day of the month. Examples -------- >>> ts = pd.Timestamp(2022, 1, 14) >>> ts + pd.offsets.SemiMonthEnd() Timestamp('2022-01-15 00:00:00') >>> ts = pd.Timestamp(2022, 1, 15) >>> ts + pd.offsets.SemiMonthEnd() Timestamp('2022-01-31 00:00:00') >>> ts = pd.Timestamp(2022, 1, 31) >>> ts + pd.offsets.SemiMonthEnd() Timestamp('2022-02-15 00:00:00') If you want to get the result for the current month: >>> ts = pd.Timestamp(2022, 1, 15) >>> pd.offsets.SemiMonthEnd().rollforward(ts) Timestamp('2022-01-15 00:00:00') pandas._libs.tslibs.offsets.SemiMonthEnd Two DateOffset's per month repeating on the first day of the month & day_of_month. This offset moves dates to the first day of the month and an additional specified day (typically the 15th by default), useful in scenarios where bi-monthly processing occurs on set days. Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. day_of_month : int, {1, 3,...,27}, default 15 A specific integer for the day of the month. See Also -------- tseries.offsets.SemiMonthEnd : Two DateOffset's per month repeating on the last day of the month & day_of_month. tseries.offsets.MonthEnd : Offset to the last calendar day of the month. tseries.offsets.MonthBegin : Offset to the first calendar day of the month. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.SemiMonthBegin() Timestamp('2022-01-15 00:00:00') pandas._libs.tslibs.offsets.SemiMonthBegin Define default roll function to be called in apply method. cbday_roll Returns a tuple containing all of the attributes needed to evaluate equality between two DateOffset objects. _params Return the day of the week on which the offset is applied. This is the weekday on which the weekly offset is anchored. The value is an integer representing the day of the week, where Monday is 0 and Sunday is 6, or None if no specific weekday is set. See Also -------- Week : The weekly offset class. tseries.offsets.WeekOfMonth : Describes monthly dates like the Tuesday of the 2nd week of each month. Examples -------- >>> pd.offsets.Week(weekday=0).weekday 0 >>> pd.offsets.Week(weekday=6).weekday 6 >>> pd.offsets.Week().weekday is None True Return a string representing the base frequency. See Also -------- tseries.offsets.Hour.name : Returns a string representing the base frequency of 'h'. tseries.offsets.Day.name : Returns a string representing the base frequency of 'D'. Examples -------- >>> pd.offsets.Hour().rule_code 'h' >>> pd.offsets.Week(5).rule_code 'W' _weekday Weekly offset. Attributes ---------- n : int, default 1 The number of weeks represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. weekday : int or None, default None Always generate specific day of week. 0 for Monday and 6 for Sunday. See Also -------- pd.tseries.offsets.WeekOfMonth : Describes monthly dates like, the Tuesday of the 2nd week of each month. Examples -------- >>> date_object = pd.Timestamp("2023-01-13") >>> date_object Timestamp('2023-01-13 00:00:00') >>> date_plus_one_week = date_object + pd.tseries.offsets.Week(n=1) >>> date_plus_one_week Timestamp('2023-01-20 00:00:00') >>> date_next_monday = date_object + pd.tseries.offsets.Week(weekday=0) >>> date_next_monday Timestamp('2023-01-16 00:00:00') >>> date_next_sunday = date_object + pd.tseries.offsets.Week(weekday=6) >>> date_next_sunday Timestamp('2023-01-15 00:00:00') pandas._libs.tslibs.offsets.Week Describes monthly dates like "the Tuesday of the 2nd week of each month". This offset allows for generating or adjusting dates by specifying a particular week and weekday within a month. The week is zero-indexed, where 0 corresponds to the first week of the month, and weekday follows a Monday=0 convention. Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. week : int {0, 1, 2, 3, ...}, default 0 A specific integer for the week of the month. e.g. 0 is 1st week of month, 1 is the 2nd week, etc. weekday : int {0, 1, ..., 6}, default 0 A specific integer for the day of the week. - 0 is Monday - 1 is Tuesday - 2 is Wednesday - 3 is Thursday - 4 is Friday - 5 is Saturday - 6 is Sunday. See Also -------- offsets.Week : Describes weekly frequency adjustments. offsets.MonthEnd : Describes month-end frequency adjustments. date_range : Generates a range of dates based on a specific frequency. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.WeekOfMonth() Timestamp('2022-01-03 00:00:00') pandas._libs.tslibs.offsets.WeekOfMonth Describes monthly dates in last week of month. For example "the last Tuesday of each month". Attributes ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. weekday : int {0, 1, ..., 6}, default 0 A specific integer for the day of the week. - 0 is Monday - 1 is Tuesday - 2 is Wednesday - 3 is Thursday - 4 is Friday - 5 is Saturday - 6 is Sunday. See Also -------- tseries.offsets.WeekOfMonth : Date offset for a specific weekday in a month. tseries.offsets.MonthEnd : Date offset for the end of the month. tseries.offsets.BMonthEnd : Date offset for the last business day of the month. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.LastWeekOfMonth() Timestamp('2022-01-31 00:00:00') pandas._libs.tslibs.offsets.LastWeekOfMonth Return a MonthBegin or MonthEnd offset. This is used internally to compute the month-based component of the custom business month offset calculation. See Also -------- tseries.offsets.MonthBegin : Represents the start of the month. tseries.offsets.MonthEnd : Represents the end of the month. Examples -------- >>> pd.offsets.CustomBusinessMonthBegin().m_offset >>> pd.offsets.CustomBusinessMonthEnd().m_offset m_offset Return the weekday used by the fiscal year. This is the day of the week on which the fiscal year ends. The value is an integer from 0 (Monday) to 6 (Sunday). See Also -------- FY5253.startingMonth : Return the starting month of the fiscal year. FY5253.variation : Return the variation of the fiscal year. Examples -------- >>> offset = pd.offsets.FY5253(weekday=4, startingMonth=12, variation="nearest") >>> offset.weekday 4 variationpandas._libs.tslibs.offsets.FY5253Mixin Describes 52-53 week fiscal year. This is also known as a 4-4-5 calendar. It is used by companies that desire that their fiscal year always end on the same day of the week. It is a method of managing accounting periods. It is a common calendar structure for some industries, such as retail, manufacturing and parking industry. For more information see: https://en.wikipedia.org/wiki/4-4-5_calendar The year may either: - end on the last X day of the Y month. - end on the last X day closest to the last day of the Y month. X is a specific day of the week. Y is a certain month of the year Attributes ---------- n : int The number of fiscal years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. weekday : int {0, 1, ..., 6}, default 0 A specific integer for the day of the week. - 0 is Monday - 1 is Tuesday - 2 is Wednesday - 3 is Thursday - 4 is Friday - 5 is Saturday - 6 is Sunday. startingMonth : int {1, 2, ... 12}, default 1 The month in which the fiscal year ends. variation : str, default "nearest" Method of employing 4-4-5 calendar. There are two options: - "nearest" means year end is **weekday** closest to last day of month in year. - "last" means year end is final **weekday** of the final month in fiscal year. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- In the example below the default parameters give the next 52-53 week fiscal year. >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.FY5253() Timestamp('2022-01-31 00:00:00') By the parameter ``startingMonth`` we can specify the month in which fiscal years end. >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.FY5253(startingMonth=3) Timestamp('2022-03-28 00:00:00') 52-53 week fiscal year can be specified by ``weekday`` and ``variation`` parameters. >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.FY5253(weekday=5, startingMonth=12, variation="last") Timestamp('2022-12-31 00:00:00') pandas._libs.tslibs.offsets.FY5253qtr_with_extra_week Define default roll function to be called in apply method. DateOffset increments between business quarter dates for 52-53 week fiscal year. Also known as a 4-4-5 calendar. It is used by companies that desire that their fiscal year always end on the same day of the week. It is a method of managing accounting periods. It is a common calendar structure for some industries, such as retail, manufacturing and parking industry. For more information see: https://en.wikipedia.org/wiki/4-4-5_calendar The year may either: - end on the last X day of the Y month. - end on the last X day closest to the last day of the Y month. X is a specific day of the week. Y is a certain month of the year startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, ... startingMonth = 2 corresponds to dates like 2/28/2007, 5/31/2007, ... startingMonth = 3 corresponds to dates like 3/30/2007, 6/29/2007, ... Attributes ---------- n : int The number of business quarters represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. weekday : int {0, 1, ..., 6}, default 0 A specific integer for the day of the week. - 0 is Monday - 1 is Tuesday - 2 is Wednesday - 3 is Thursday - 4 is Friday - 5 is Saturday - 6 is Sunday. startingMonth : int {1, 2, ..., 12}, default 1 The month in which fiscal years end. qtr_with_extra_week : int {1, 2, 3, 4}, default 1 The quarter number that has the leap or 14 week when needed. variation : str, default "nearest" Method of employing 4-4-5 calendar. There are two options: - "nearest" means year end is **weekday** closest to last day of month in year. - "last" means year end is final **weekday** of the final month in fiscal year. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- In the example below the default parameters give the next business quarter for 52-53 week fiscal year. >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.FY5253Quarter() Timestamp('2022-01-31 00:00:00') By the parameter ``startingMonth`` we can specify the month in which fiscal years end. >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.FY5253Quarter(startingMonth=3) Timestamp('2022-03-28 00:00:00') Business quarters for 52-53 week fiscal year can be specified by ``weekday`` and ``variation`` parameters. >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.FY5253Quarter(weekday=5, startingMonth=12, variation="last") Timestamp('2022-04-02 00:00:00') month_rollpandas._libs.tslibs.offsets.FY5253Quartermethod DateOffset for the Easter holiday using logic defined in dateutil. Right now uses the revised method which is valid in years 1583-4099. Attributes ---------- n : int, default 1 The number of years represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. method : int, default 3 The method used to calculate the date of Easter. Valid options are: - 1 (EASTER_JULIAN): Original calculation in Julian calendar - 2 (EASTER_ORTHODOX): Original method, date converted to Gregorian calendar - 3 (EASTER_WESTERN): Revised method, in Gregorian calendar These constants are defined in the `dateutil.easter` module. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> ts + pd.offsets.Easter() Timestamp('2022-04-17 00:00:00') pandas._libs.tslibs.offsets.Easter DateOffset subclass representing possibly n custom business days. In CustomBusinessDay we can use custom weekmask, holidays, and calendar. Parameters ---------- n : int, default 1 The number of days represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. weekmask : str, Default 'Mon Tue Wed Thu Fri' Weekmask of valid business days, passed to ``numpy.busdaycalendar``. holidays : list List/array of dates to exclude from the set of valid business days, passed to ``numpy.busdaycalendar``. calendar : np.busdaycalendar Calendar to integrate. offset : timedelta, default timedelta(0) Time offset to apply. Examples -------- In the example below the default parameters give the next business day. >>> ts = pd.Timestamp(2022, 8, 5, 16) >>> ts + pd.offsets.CustomBusinessDay() Timestamp('2022-08-08 16:00:00') Business days can be specified by ``weekmask`` parameter. To convert the returned datetime object to its string representation the function strftime() is used in the next example. >>> import datetime as dt >>> freq = pd.offsets.CustomBusinessDay(weekmask="Mon Wed Fri") >>> pd.date_range(dt.datetime(2022, 12, 10), dt.datetime(2022, 12, 21), ... freq=freq).strftime('%a %d %b %Y %H:%M') Index(['Mon 12 Dec 2022 00:00', 'Wed 14 Dec 2022 00:00', 'Fri 16 Dec 2022 00:00', 'Mon 19 Dec 2022 00:00', 'Wed 21 Dec 2022 00:00'], dtype='object') Using NumPy business day calendar you can define custom holidays. >>> import datetime as dt >>> bdc = np.busdaycalendar(holidays=['2022-12-12', '2022-12-14']) >>> freq = pd.offsets.CustomBusinessDay(calendar=bdc) >>> pd.date_range(dt.datetime(2022, 12, 10), dt.datetime(2022, 12, 25), freq=freq) DatetimeIndex(['2022-12-13', '2022-12-15', '2022-12-16', '2022-12-19', '2022-12-20', '2022-12-21', '2022-12-22', '2022-12-23'], dtype='datetime64[ns]', freq='C') If you want to shift the result on n day you can use the parameter ``offset``. >>> pd.Timestamp(2022, 8, 5, 16) + pd.offsets.CustomBusinessDay(1) Timestamp('2022-08-08 16:00:00') >>> import datetime as dt >>> ts = pd.Timestamp(2022, 8, 5, 16) >>> ts + pd.offsets.CustomBusinessDay(1, offset=dt.timedelta(days=1)) Timestamp('2022-08-09 16:00:00') pandas._libs.tslibs.offsets.CustomBusinessDay Return a string representing the frequency. The frequency string is composed of a multiplier (if greater than 1) followed by the offset alias 'D' for days. See Also -------- tseries.offsets.Hour.freqstr : Return a string representing an offset frequency in hours. tseries.offsets.Minute.freqstr : Return a string representing an offset frequency in minutes. tseries.offsets.Second.freqstr : Return a string representing an offset frequency in seconds. Examples -------- >>> pd.Day(5).freqstr '5D' >>> pd.offsets.Day(1).freqstr 'D' DateOffset subclass representing possibly n custom business days. In CustomBusinessHour we can use custom weekmask, holidays, and calendar. Parameters ---------- n : int, default 1 The number of hours represented. normalize : bool, default False Normalize start/end dates to midnight before generating date range. weekmask : str, Default 'Mon Tue Wed Thu Fri' Weekmask of valid business days, passed to ``numpy.busdaycalendar``. holidays : list List/array of dates to exclude from the set of valid business days, passed to ``numpy.busdaycalendar``. calendar : np.busdaycalendar Calendar to integrate. start : str, time, or list of str/time, default "09:00" Start time of your custom business hour in 24h format. end : str, time, or list of str/time, default: "17:00" End time of your custom business hour in 24h format. offset : timedelta, default timedelta(0) Time offset to apply. Examples -------- In the example below the default parameters give the next business hour. >>> ts = pd.Timestamp(2022, 8, 5, 16) >>> ts + pd.offsets.CustomBusinessHour() Timestamp('2022-08-08 09:00:00') We can also change the start and the end of business hours. >>> ts = pd.Timestamp(2022, 8, 5, 16) >>> ts + pd.offsets.CustomBusinessHour(start="11:00") Timestamp('2022-08-08 11:00:00') >>> from datetime import time as dt_time >>> ts = pd.Timestamp(2022, 8, 5, 16) >>> ts + pd.offsets.CustomBusinessHour(end=dt_time(19, 0)) Timestamp('2022-08-05 17:00:00') >>> ts = pd.Timestamp(2022, 8, 5, 22) >>> ts + pd.offsets.CustomBusinessHour(end=dt_time(19, 0)) Timestamp('2022-08-08 10:00:00') You can divide your business day hours into several parts. >>> import datetime as dt >>> freq = pd.offsets.CustomBusinessHour(start=["06:00", "10:00", "15:00"], ... end=["08:00", "12:00", "17:00"]) >>> pd.date_range(dt.datetime(2022, 12, 9), dt.datetime(2022, 12, 13), freq=freq) DatetimeIndex(['2022-12-09 06:00:00', '2022-12-09 07:00:00', '2022-12-09 10:00:00', '2022-12-09 11:00:00', '2022-12-09 15:00:00', '2022-12-09 16:00:00', '2022-12-12 06:00:00', '2022-12-12 07:00:00', '2022-12-12 10:00:00', '2022-12-12 11:00:00', '2022-12-12 15:00:00', '2022-12-12 16:00:00'], dtype='datetime64[ns]', freq='cbh') Business days can be specified by ``weekmask`` parameter. To convert the returned datetime object to its string representation the function strftime() is used in the next example. >>> import datetime as dt >>> freq = pd.offsets.CustomBusinessHour(weekmask="Mon Wed Fri", ... start="10:00", end="13:00") >>> pd.date_range(dt.datetime(2022, 12, 10), dt.datetime(2022, 12, 18), ... freq=freq).strftime('%a %d %b %Y %H:%M') Index(['Mon 12 Dec 2022 10:00', 'Mon 12 Dec 2022 11:00', 'Mon 12 Dec 2022 12:00', 'Wed 14 Dec 2022 10:00', 'Wed 14 Dec 2022 11:00', 'Wed 14 Dec 2022 12:00', 'Fri 16 Dec 2022 10:00', 'Fri 16 Dec 2022 11:00', 'Fri 16 Dec 2022 12:00'], dtype='object') Using NumPy business day calendar you can define custom holidays. >>> import datetime as dt >>> bdc = np.busdaycalendar(holidays=['2022-12-12', '2022-12-14']) >>> freq = pd.offsets.CustomBusinessHour(calendar=bdc, start="10:00", end="13:00") >>> pd.date_range(dt.datetime(2022, 12, 10), dt.datetime(2022, 12, 18), freq=freq) DatetimeIndex(['2022-12-13 10:00:00', '2022-12-13 11:00:00', '2022-12-13 12:00:00', '2022-12-15 10:00:00', '2022-12-15 11:00:00', '2022-12-15 12:00:00', '2022-12-16 10:00:00', '2022-12-16 11:00:00', '2022-12-16 12:00:00'], dtype='datetime64[ns]', freq='cbh') pandas._libs.tslibs.offsets.CustomBusinessHourpandas._libs.tslibs.offsets._CustomBusinessMonth(J PJ J J J J K K 8K `K K K K pandas/_libs/tslibs/offsets.pyx../../../pip-build-env-x3i_henm/overlay/Lib/site-packages/numpy/__init__.cython-30.pxdcpython/datetime.pxdutil.pxdpandas/_libs/tslibs/offsets.pxdcpython/type.pxdpandas/_libs/tslibs/base.pxdpandas/_libs/tslibs/timestamps.pxdpandas/_libs/tslibs/conversion.pxdpandas/_libs/tslibs/dtypes.pxdpandas/_libs/tslibs/nattype.pxdtimedeltas.pxd DateOffset subclass representing custom business month(s). Increments between end of month dates. Parameters ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize end dates to midnight before generating date range. weekmask : str, Default 'Mon Tue Wed Thu Fri' Weekmask of valid business days, passed to ``numpy.busdaycalendar``. holidays : list List/array of dates to exclude from the set of valid business days, passed to ``numpy.busdaycalendar``. calendar : np.busdaycalendar Calendar to integrate. offset : timedelta, default timedelta(0) Time offset to apply. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- In the example below we use the default parameters. >>> ts = pd.Timestamp(2022, 8, 5) >>> ts + pd.offsets.CustomBusinessMonthEnd() Timestamp('2022-08-31 00:00:00') Custom business month end can be specified by ``weekmask`` parameter. To convert the returned datetime object to its string representation the function strftime() is used in the next example. >>> import datetime as dt >>> freq = pd.offsets.CustomBusinessMonthEnd(weekmask="Wed Thu") >>> pd.date_range(dt.datetime(2022, 7, 10), dt.datetime(2022, 12, 18), ... freq=freq).strftime('%a %d %b %Y %H:%M') Index(['Thu 28 Jul 2022 00:00', 'Wed 31 Aug 2022 00:00', 'Thu 29 Sep 2022 00:00', 'Thu 27 Oct 2022 00:00', 'Wed 30 Nov 2022 00:00'], dtype='object') Using NumPy business day calendar you can define custom holidays. >>> import datetime as dt >>> bdc = np.busdaycalendar(holidays=['2022-08-01', '2022-09-30', ... '2022-10-31', '2022-11-01']) >>> freq = pd.offsets.CustomBusinessMonthEnd(calendar=bdc) >>> pd.date_range(dt.datetime(2022, 7, 10), dt.datetime(2022, 11, 10), freq=freq) DatetimeIndex(['2022-07-29', '2022-08-31', '2022-09-29', '2022-10-28'], dtype='datetime64[ns]', freq='CBME') pandas._libs.tslibs.offsets.CustomBusinessMonthEnd DateOffset subclass representing custom business month(s). Increments between beginning of month dates. Parameters ---------- n : int, default 1 The number of months represented. normalize : bool, default False Normalize start dates to midnight before generating date range. weekmask : str, Default 'Mon Tue Wed Thu Fri' Weekmask of valid business days, passed to ``numpy.busdaycalendar``. holidays : list List/array of dates to exclude from the set of valid business days, passed to ``numpy.busdaycalendar``. calendar : np.busdaycalendar Calendar to integrate. offset : timedelta, default timedelta(0) Time offset to apply. See Also -------- :class:`~pandas.tseries.offsets.DateOffset` : Standard kind of date increment. Examples -------- In the example below we use the default parameters. >>> ts = pd.Timestamp(2022, 8, 5) >>> ts + pd.offsets.CustomBusinessMonthBegin() Timestamp('2022-09-01 00:00:00') Custom business month start can be specified by ``weekmask`` parameter. To convert the returned datetime object to its string representation the function strftime() is used in the next example. >>> import datetime as dt >>> freq = pd.offsets.CustomBusinessMonthBegin(weekmask="Wed Thu") >>> pd.date_range(dt.datetime(2022, 7, 10), dt.datetime(2022, 12, 18), ... freq=freq).strftime('%a %d %b %Y %H:%M') Index(['Wed 03 Aug 2022 00:00', 'Thu 01 Sep 2022 00:00', 'Wed 05 Oct 2022 00:00', 'Wed 02 Nov 2022 00:00', 'Thu 01 Dec 2022 00:00'], dtype='object') Using NumPy business day calendar you can define custom holidays. >>> import datetime as dt >>> bdc = np.busdaycalendar(holidays=['2022-08-01', '2022-09-30', ... '2022-10-31', '2022-11-01']) >>> freq = pd.offsets.CustomBusinessMonthBegin(calendar=bdc) >>> pd.date_range(dt.datetime(2022, 7, 10), dt.datetime(2022, 11, 10), freq=freq) DatetimeIndex(['2022-08-02', '2022-09-01', '2022-10-03', '2022-11-02'], dtype='datetime64[ns]', freq='CBMS') pandas._libs.tslibs.offsets.CustomBusinessMonthBegindelta_to_tickpandas._libs.tslibs.offsets.__pyx_defaultspandas._libs.tslibs.offsets.__pyx_scope_struct__apply_wraps_get_suffix_prefixraise_invalid_freq Return the suffix component of the rule code. The suffix combines the variation prefix, starting month abbreviation, and weekday abbreviation into a string format. Returns ------- str Suffix string in the format "{variation}-{month}-{weekday}". The variation is "N" for nearest or "L" for last. See Also -------- FY5253.rule_code : Return the complete rule code string. FY5253Quarter.rule_code : Return the complete rule code string for FY5253Quarter. Examples -------- >>> offset = pd.offsets.FY5253(weekday=4, startingMonth=12, variation="nearest") >>> offset.get_rule_code_suffix() 'N-DEC-FRI' >>> offset = pd.offsets.FY5253(weekday=0, startingMonth=1, variation="last") >>> offset.get_rule_code_suffix() 'L-JAN-MON' Return business hours in a day by seconds. pandas._libs.tslibs.offsets.__pyx_scope_struct_1_genexprget_rule_code_suffix_get_business_hours_by_secpandas._libs.tslibs.offsets.__pyx_scope_struct_2___pyx_f_6pandas_5_libs_6tslibs_7offsets__determine_offsetpandas._libs.tslibs.offsets.__pyx_scope_struct_3_genexpr Get the closing time of a business hour interval by its opening time. Parameters ---------- dt : datetime Opening time of a business hour interval. Returns ------- result : datetime Corresponding closing time. _get_closing_time_warn_about_deprecated_aliasespandas._libs.tslibs.offsets.__pyx_scope_struct_4_genexprnamepandas._libs.tslibs.offsets.__pyx_scope_struct_5_genexprpandas._libs.tslibs.offsets.__pyx_scope_struct_6___reduce__ Return a picklable state Used for moving to next business day. next_bdaypandas._libs.tslibs.offsets.__pyx_scope_struct_7_genexpr Reconstruct an instance from a pickled state pandas._libs.tslibs.offsets.__pyx_scope_struct_8_genexpr Return boolean whether a timestamp intersects with this frequency. This method checks if a given datetime falls on a valid half-year boundary as defined by this offset. Parameters ---------- dt : datetime Timestamp to check intersections with frequency. Returns ------- bool True if the timestamp is on the offset, False otherwise. See Also -------- HalfYearEnd.is_on_offset : Check if a timestamp is at the end of a half-year. HalfYearBegin.is_on_offset : Check if a timestamp is at the start of a half-year. BHalfYearEnd.is_on_offset : Check if a timestamp is at the end of a business half-year. BHalfYearBegin.is_on_offset : Check if a timestamp is at the start of a business half-year. Examples -------- >>> freq = pd.offsets.BHalfYearBegin() >>> ts = pd.Timestamp(2022, 1, 1) >>> freq.is_on_offset(ts) False >>> ts = pd.Timestamp(2022, 1, 3) >>> freq.is_on_offset(ts) True If self._n and sign have the same sign, return the earliest opening time later than or equal to current time. Otherwise the latest opening time earlier than or equal to current time. Opening time always locates on BusinessDay. However, closing time may not if business hour extends over midnight. Parameters ---------- other : datetime Current time. sign : int, default 1. Either 1 or -1. Going forward in time if it has the same sign as self._n. Going backward in time otherwise. Returns ------- result : datetime Next opening time. _next_opening_timepandas._libs.tslibs.offsets.__pyx_scope_struct_9__apply_validate_to_offset_aliaspandas._libs.tslibs.offsets.__pyx_scope_struct_10_genexpr Return a copy of the frequency. See Also -------- tseries.offsets.Week.copy : Return a copy of Week offset. tseries.offsets.DateOffset.copy : Return a copy of date offset. tseries.offsets.MonthEnd.copy : Return a copy of MonthEnd offset. tseries.offsets.YearBegin.copy : Return a copy of YearBegin offset. Examples -------- >>> freq = pd.DateOffset(1) >>> freq_copy = freq.copy() >>> freq is freq_copy False copy_repr_attrs If n is positive, return the latest opening time earlier than or equal to current time. Otherwise the earliest opening time later than or equal to current time. Parameters ---------- other : datetime Current time. Returns ------- result : datetime Previous opening time. Return DateOffset object associated with rule name. Examples -------- _get_offset('EOM') --> BMonthEnd(1) _prev_opening_time_get_offsetget_year_end Return boolean whether a timestamp intersects with this frequency. This method determines if a given timestamp aligns with the specific day of the month defined by this offset. For month-based offsets, it checks whether the timestamp's day matches the expected day according to the offset's configuration (e.g., start of month, end of month, or first/last business day). Parameters ---------- dt : datetime Timestamp to check intersection with frequency. Returns ------- bool True if the timestamp is on the offset, False otherwise. See Also -------- tseries.offsets.MonthBegin : DateOffset of one month at beginning. tseries.offsets.MonthEnd : DateOffset of one month end. tseries.offsets.BusinessMonthBegin : DateOffset of one month at the first business day. tseries.offsets.BusinessMonthEnd : DateOffset of one month at the last business day. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> pd.offsets.MonthBegin().is_on_offset(ts) True >>> ts = pd.Timestamp(2022, 1, 15) >>> pd.offsets.MonthBegin().is_on_offset(ts) False >>> ts = pd.Timestamp(2022, 1, 31) >>> pd.offsets.MonthEnd().is_on_offset(ts) True _pd_timedelta Roll provided date backward to next offset only if not on offset. Return a string representing the frequency. The string representation typically consists of the offset multiplier and a frequency alias (e.g., ``'D'`` for daily, ``'h'`` for hourly). See Also -------- tseries.offsets.BusinessDay.freqstr : Return a string representing an offset frequency in Business Days. tseries.offsets.BusinessHour.freqstr : Return a string representing an offset frequency in Business Hours. tseries.offsets.Week.freqstr : Return a string representing an offset frequency in Weeks. tseries.offsets.Hour.freqstr : Return a string representing an offset frequency in Hours. Examples -------- >>> pd.DateOffset(5).freqstr '<5 * DateOffsets>' >>> pd.offsets.BusinessHour(2).freqstr '2bh' >>> pd.offsets.Nano().freqstr 'ns' >>> pd.offsets.Nano(-3).freqstr '-3ns' freqstr_offset_str Roll provided date forward to next offset only if not on offset. _parse_suffix_applythrowoffset_apply_array Roll provided date backward to next offset only if not on offset. If the provided date is already on an offset, it is returned unchanged. Otherwise, the date is rolled backward to the previous offset boundary. Parameters ---------- dt : datetime or Timestamp Timestamp to rollback. Returns ------- Timestamp Rolled timestamp if not on offset, otherwise unchanged timestamp. See Also -------- rollforward : Roll provided date forward to next offset only if not on offset. is_on_offset : Return boolean whether a timestamp intersects with this frequency. Examples -------- >>> ts = pd.Timestamp("2025-01-15 09:00:00") >>> offset = pd.tseries.offsets.MonthEnd() Timestamp is not on the offset (not a month end), so it rolls backward: >>> offset.rollback(ts) Timestamp('2024-12-31 00:00:00') If the timestamp is already on the offset, it remains unchanged: >>> ts_on_offset = pd.Timestamp("2025-01-31") >>> offset.rollback(ts_on_offset) Timestamp('2025-01-31 00:00:00') rollbacksendsend(arg) -> send 'arg' into generator, return next yielded value or raise StopIteration.throw(typ[,val[,tb]]) -> raise exception in generator, return next yielded value or raise StopIteration.closeclose() -> raise GeneratorExit inside generator.__reduce_ex__gi_yieldfromobject being iterated by 'yield from', or Nonegi_codename of the generatorqualified name of the generatorgi_frameFrame of the generatorgi_running_cython_3_2_4.generator_cache, _n, _normalize Roll provided date forward to next offset only if not on offset. If the provided date is already on an offset, it is returned unchanged. Otherwise, the date is rolled forward to the next offset boundary. Parameters ---------- dt : datetime or Timestamp Timestamp to roll forward. Returns ------- Timestamp Rolled timestamp if not on offset, otherwise unchanged timestamp. See Also -------- rollback : Roll provided date backward to previous offset only if not on offset. is_on_offset : Return boolean whether a timestamp intersects with this frequency. Examples -------- >>> ts = pd.Timestamp("2025-01-15 09:00:00") >>> offset = pd.tseries.offsets.MonthEnd() Timestamp is not on the offset (not a month end), so it rolls forward: >>> offset.rollforward(ts) Timestamp('2025-01-31 00:00:00') If the timestamp is already on the offset, it remains unchanged: >>> ts_on_offset = pd.Timestamp("2025-01-31") >>> offset.rollforward(ts_on_offset) Timestamp('2025-01-31 00:00:00') rollforward_offset Roll `other` back to the most recent date that was on a fiscal year end. Return the date of that year-end, the number of full quarters elapsed between that year-end and other, and the remaining Timedelta since the most recent quarter-end. Parameters ---------- other : datetime or Timestamp Returns ------- tuple of prev_year_end : Timestamp giving most recent fiscal year end num_qtrs : int tdelta : Timedelta _rollback_to_year_get_offset_day Return boolean whether a timestamp intersects with this frequency. This method determines if a given timestamp aligns with the start of a custom business month, as defined by this offset. It accounts for custom rules, such as skipping weekends or other non-business days, and checks whether the provided datetime falls on a valid business day that marks the beginning of the custom business month. Parameters ---------- dt : datetime.datetime Timestamp to check intersections with frequency. See Also -------- tseries.offsets.CustomBusinessMonthBegin : Represents the start of a custom business month. tseries.offsets.CustomBusinessMonthEnd : Represents the end of a custom business month. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.Day(1) >>> freq.is_on_offset(ts) True >>> ts = pd.Timestamp(2022, 8, 6) >>> ts.day_name() 'Saturday' >>> freq = pd.offsets.BusinessDay(1) >>> freq.is_on_offset(ts) False is_on_offset Require that `n` be an integer. Parameters ---------- n : int Returns ------- nint : int Raises ------ TypeError if `int(n)` raises ValueError if n != int(n) _validate_n__module___cython_3_2_4._common_types_metatypeCythonUnboundCMethod__instancecheck____subclasscheck__ Reconstruct an instance from a pickled state __setstate__offsets Return DateOffset object from string or datetime.timedelta object. Parameters ---------- freq : str, datetime.timedelta, BaseOffset or None The frequency represented. is_period : bool, default False Convert string denoting period frequency to corresponding offsets frequency if is_period=True. Returns ------- BaseOffset subclass or None Raises ------ ValueError If freq is an invalid frequency See Also -------- BaseOffset : Standard kind of date increment used for a date range. Examples -------- >>> from pandas.tseries.frequencies import to_offset >>> to_offset("5min") <5 * Minutes> >>> to_offset("1D1h") <25 * Hours> >>> to_offset("2W") <2 * Weeks: weekday=6> >>> to_offset("2B") <2 * BusinessDays> >>> to_offset(pd.Timedelta(days=1)) >>> to_offset(pd.offsets.Hour()) Passing the parameter ``is_period`` equal to True, you can use a string denoting period frequency: >>> freq = to_offset(freq="ME", is_period=False) >>> freq.rule_code 'ME' >>> freq = to_offset(freq="M", is_period=True) >>> freq.rule_code 'ME' to_offset Return boolean whether a timestamp intersects with this frequency. This method determines if a given timestamp falls within business hours. Business hours are defined by the ``start`` and ``end`` parameters (default 09:00 to 17:00). The timestamp must also fall on a business day (Monday through Friday). If ``normalize`` is True, it also checks that the time component is midnight. Parameters ---------- dt : datetime Timestamp to check intersection with frequency. Returns ------- bool True if the timestamp is within business hours, False otherwise. See Also -------- tseries.offsets.BusinessHour : Represents business hour offset. tseries.offsets.BusinessDay.is_on_offset : Check if a timestamp is on a business day. Examples -------- >>> ts = pd.Timestamp(2022, 8, 5, 10) >>> ts.day_name() 'Friday' >>> pd.offsets.BusinessHour().is_on_offset(ts) True >>> ts = pd.Timestamp(2022, 8, 5, 20) >>> pd.offsets.BusinessHour().is_on_offset(ts) False >>> ts = pd.Timestamp(2022, 8, 6, 10) >>> ts.day_name() 'Saturday' >>> pd.offsets.BusinessHour().is_on_offset(ts) False __setattr__ Return a picklable state __getstate__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutine__dictoffset____vectorcalloffset____weaklistoffset__ Return boolean whether a timestamp occurs on the month start. This method determines if a given timestamp falls on the first day of a month, considering the frequency of the offset. Parameters ---------- ts : Timestamp The timestamp to check. See Also -------- is_month_end : Return boolean whether a timestamp occurs on the month end. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.Hour(5) >>> freq.is_month_start(ts) True is_month_start Slight speedups using calculated values. _is_on_offsetget_weeks Return boolean whether a timestamp occurs on the month end. Parameters ---------- ts : Timestamp The timestamp to check. See Also -------- is_month_start : Return boolean whether a timestamp occurs on the month start. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.Hour(5) >>> freq.is_month_end(ts) False is_month_end Additional __init__ for Custom subclasses. _init_custom Return boolean whether a timestamp occurs on the quarter start. Parameters ---------- ts : Timestamp The timestamp to check. See Also -------- is_quarter_end : Return boolean whether a timestamp occurs on the quarter end. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.Hour(5) >>> freq.is_quarter_start(ts) True year_has_extra_weekis_quarter_start Given an int64-based datetime index, shift all elements specified number of months using DateOffset semantics day_opt: {None, 'start', 'end', 'business_start', 'business_end'} * None: day of month * 'start' 1st day of month * 'end' last day of month shift_months Return boolean whether a timestamp occurs on the quarter end. Parameters ---------- ts : Timestamp The timestamp to check. See Also -------- is_quarter_start : Return boolean whether a timestamp occurs on the quarter start. Examples -------- >>> ts = pd.Timestamp(2022, 1, 1) >>> freq = pd.offsets.Hour(5) >>> freq.is_quarter_end(ts) False is_quarter_end_cython_3_2_4.cython_function_or_methodnumpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is not PyCapsule object_ARRAY_API is NULL pointermodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule was compiled against NumPy C-API version 0x%x (NumPy 1.20) but the running NumPy has C-API version 0x%x. Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem.FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimenumpy.PyArray_MultiIterNew2numpy.import_arraydatetime.datetime_CAPIpandas._pandas_datetime_CAPIpandas._libs.tslibs.offsets._is_normalizedpandas._libs.tslibs.offsets.apply_wrapspandas._libs.tslibs.offsets.apply_wraps.wrapperfuncpandas._libs.tslibs.offsets._wrap_timedelta_resultpandas._libs.tslibs.offsets._get_calendar.genexpr.0genexprpandas._libs.tslibs.offsets._get_calendarpandas._libs.tslibs.offsets._to_dt64Dpandas._libs.tslibs.offsets._validate_business_timepandas._libs.tslibs.offsets._determine_offset.genexpr'NoneType' object is not iterablekwds_use_timedeltakwds_use_relativedeltaitems'NoneType' object has no attribute '%.30s'pandas._libs.tslibs.offsets._determine_offset__init__pandas._libs.tslibs.offsets.BaseOffset.__init__pandas._libs.tslibs.offsets.BaseOffset.n.__get__pandas._libs.tslibs.offsets.BaseOffset.normalize.__get__pandas._libs.tslibs.offsets.BaseOffset.__eq__pandas._libs.tslibs.offsets.BaseOffset.__ne__pandas._libs.tslibs.offsets.BaseOffset.__hash__pandas._libs.tslibs.offsets.BaseOffset._paramspandas._libs.tslibs.offsets.BaseOffset.kwds.__get__argument after ** must be a mapping, not NoneTypepandas._libs.tslibs.offsets.BaseOffset.base.__get__pandas._libs.tslibs.offsets.BaseOffset.__add__pandas._libs.tslibs.offsets.BaseOffset.__radd__pandas._libs.tslibs.offsets.BaseOffset.__sub__pandas._libs.tslibs.offsets.BaseOffset.__rsub__pandas._libs.tslibs.offsets.BaseOffset.__mul__pandas._libs.tslibs.offsets.BaseOffset.__rmul__pandas._libs.tslibs.offsets.BaseOffset.__neg__pandas._libs.tslibs.offsets.BaseOffset.copypandas._libs.tslibs.offsets.BaseOffset.__repr__pandas._libs.tslibs.offsets.BaseOffset._repr_attrspandas._libs.tslibs.offsets.BaseOffset.name.__get__pandas._libs.tslibs.offsets.BaseOffset._prefix.__get__pandas._libs.tslibs.offsets.BaseOffset.rule_code.__get__pandas._libs.tslibs.offsets.BaseOffset.freqstrstrpandas._libs.tslibs.offsets.BaseOffset._applypandas._libs.tslibs.offsets.BaseOffset._apply_arraypandas._libs.tslibs.offsets.BaseOffset.rollbackpandas._libs.tslibs.offsets.BaseOffset.rollforwardpandas._libs.tslibs.offsets.BaseOffset._get_offset_dayotherpandas._libs.tslibs.offsets.BaseOffset.is_on_offsetdtpandas._libs.tslibs.offsets.BaseOffset._validate_npandas._libs.tslibs.offsets.BaseOffset.__setstate__dictpandas._libs.tslibs.offsets.BaseOffset.__getstate__pandas._libs.tslibs.offsets.BaseOffset.nanos.__get__pandas._libs.tslibs.offsets.BaseOffset.is_month_starttspandas._libs.tslibs.offsets.BaseOffset.is_month_endpandas._libs.tslibs.offsets.BaseOffset.is_quarter_startpandas._libs.tslibs.offsets.BaseOffset.is_quarter_endpandas._libs.tslibs.offsets.BaseOffset.is_year_startpandas._libs.tslibs.offsets.BaseOffset.is_year_endpandas._libs.tslibs.offsets.BaseOffset._n.__get__pandas._libs.tslibs.offsets.BaseOffset._normalize.__get__pandas._libs.tslibs.offsets.BaseOffset.__reduce_cython__pandas._libs.tslibs.offsets.BaseOffset.__setstate_cython__tuplecannot pass None into a C function argument that is declared 'not None'pandas._libs.tslibs.offsets.SingleConstructorOffset._from_namepandas._libs.tslibs.offsets.SingleConstructorOffset.__reduce__.genexprcan't send non-None value to a just-started generatorselfpandas._libs.tslibs.offsets.SingleConstructorOffset.__reduce__pandas._libs.tslibs.offsets.Tick.__init__pandas._libs.tslibs.offsets.Tick._next_higher_resolutionpandas._libs.tslibs.offsets.Tick._as_pd_timedeltapandas._libs.tslibs.offsets.Tick.nanos.__get__pandas._libs.tslibs.offsets.Tick.is_on_offsetpandas._libs.tslibs.offsets.Tick.__hash__pandas._libs.tslibs.offsets.Tick.__eq__pandas._libs.tslibs.offsets.Tick.__ne__pandas._libs.tslibs.offsets.Tick.__le__pandas._libs.tslibs.offsets.Tick.__lt__pandas._libs.tslibs.offsets.Tick.__ge__pandas._libs.tslibs.offsets.Tick.__gt__pandas._libs.tslibs.offsets.Tick.__mul__pandas._libs.tslibs.offsets.Tick.__rmul__pandas._libs.tslibs.offsets.Tick.__truediv__pandas._libs.tslibs.offsets.Tick.__rtruediv__pandas._libs.tslibs.offsets.Tick.__add__pandas._libs.tslibs.offsets.Tick.__radd__pandas._libs.tslibs.offsets.Tick._applypandas._libs.tslibs.offsets.Tick.__setstate__pandas._libs.tslibs.offsets.Day.__init__pandas._libs.tslibs.offsets.Day.is_on_offsetpandas._libs.tslibs.offsets.Day._applypandas._libs.tslibs.offsets.Day._apply_arraypandas._libs.tslibs.offsets.Day.freqstrpandas._libs.tslibs.offsets.Day.nanos.__get__pandas._libs.tslibs.offsets.delta_to_tickdeltapandas._libs.tslibs.offsets.RelativeDeltaOffset.__init__pandas._libs.tslibs.offsets.RelativeDeltaOffset.__getstate__pandas._libs.tslibs.offsets.RelativeDeltaOffset.__setstate__pandas._libs.tslibs.offsets.RelativeDeltaOffset._applypandas._libs.tslibs.offsets.RelativeDeltaOffset._pd_timedeltapandas._libs.tslibs.offsets.RelativeDeltaOffset._apply_arraypandas._libs.tslibs.offsets.RelativeDeltaOffset.is_on_offsetpandas._libs.tslibs.offsets.RelativeDeltaOffset.__reduce_cython__pandas._libs.tslibs.offsets.RelativeDeltaOffset.__setstate_cython__pandas._libs.tslibs.offsets.OffsetMeta.__instancecheck__pandas._libs.tslibs.offsets.OffsetMeta.__subclasscheck__pandas._libs.tslibs.offsets.DateOffset.__setattr__pandas._libs.tslibs.offsets.BusinessMixin.__init__pandas._libs.tslibs.offsets.BusinessMixin._init_custompandas._libs.tslibs.offsets.BusinessMixin._repr_attrspandas._libs.tslibs.offsets.BusinessMixin.__setstate__pandas._libs.tslibs.offsets.BusinessDay.__setstate__pandas._libs.tslibs.offsets.BusinessDay._offset_str.get_strpandas._libs.tslibs.offsets.BusinessDay._offset_strpandas._libs.tslibs.offsets.BusinessDay._applypandas._libs.tslibs.offsets.BusinessDay._shift_bdayspandas._libs.tslibs.offsets.BusinessDay._apply_arraypandas._libs.tslibs.offsets.BusinessDay.is_on_offsetpandas._libs.tslibs.offsets.BusinessHour.__init__pandas._libs.tslibs.offsets.BusinessHour.__setstate__pandas._libs.tslibs.offsets.BusinessHour._repr_attrs.genexprpandas._libs.tslibs.offsets.BusinessHour._repr_attrspandas._libs.tslibs.offsets.BusinessHour._get_business_hours_by_secpandas._libs.tslibs.offsets.BusinessHour._get_closing_time'NoneType' object is not subscriptablepandas._libs.tslibs.offsets.BusinessHour.next_bdaypandas._libs.tslibs.offsets.BusinessHour._next_opening_timehourminutepandas._libs.tslibs.offsets.BusinessHour._prev_opening_timepandas._libs.tslibs.offsets.BusinessHour.rollbackpandas._libs.tslibs.offsets.BusinessHour.rollforwardpandas._libs.tslibs.offsets.BusinessHour._applypandas._libs.tslibs.offsets.BusinessHour._apply.genexprpandas._libs.tslibs.offsets.BusinessHour.is_on_offsetpandas._libs.tslibs.offsets.BusinessHour._is_on_offsetpandas._libs.tslibs.offsets.WeekOfMonthMixin.__init__pandas._libs.tslibs.offsets.WeekOfMonthMixin._applypandas._libs.tslibs.offsets.WeekOfMonthMixin.is_on_offsetpandas._libs.tslibs.offsets.WeekOfMonthMixin.rule_code.__get__pandas._libs.tslibs.offsets.WeekOfMonthMixin.weekday.__get__pandas._libs.tslibs.offsets.WeekOfMonthMixin.week.__get__pandas._libs.tslibs.offsets.YearOffset.__init__pandas._libs.tslibs.offsets.YearOffset.__setstate__pandas._libs.tslibs.offsets.YearOffset.month.__get__pandas._libs.tslibs.offsets.YearOffset._from_namepandas._libs.tslibs.offsets.YearOffset.rule_code.__get__pandas._libs.tslibs.offsets.YearOffset.is_on_offsetpandas._libs.tslibs.offsets.YearOffset._get_offset_daypandas._libs.tslibs.offsets.YearOffset._applypandas._libs.tslibs.offsets.YearOffset._apply_arraypandas._libs.tslibs.offsets.YearOffset._month.__get__pandas._libs.tslibs.offsets._YearEnd.__init__pandas._libs.tslibs.offsets._YearEnd._period_dtype_code.__get__pandas._libs.tslibs.offsets.YearEnd.__new__pandas._libs.tslibs.offsets.QuarterOffset.__init__pandas._libs.tslibs.offsets.QuarterOffset.__setstate__pandas._libs.tslibs.offsets.QuarterOffset.startingMonth.__get__pandas._libs.tslibs.offsets.QuarterOffset._from_namepandas._libs.tslibs.offsets.QuarterOffset.rule_code.__get__pandas._libs.tslibs.offsets.QuarterOffset.is_on_offsetpandas._libs.tslibs.offsets.QuarterOffset._applypandas._libs.tslibs.offsets.QuarterOffset._apply_arraypandas._libs.tslibs.offsets.QuarterOffset._startingMonth.__get__pandas._libs.tslibs.offsets.QuarterEnd.__init__pandas._libs.tslibs.offsets.QuarterEnd._period_dtype_code.__get__pandas._libs.tslibs.offsets.HalfYearOffset.__init__pandas._libs.tslibs.offsets.HalfYearOffset.__setstate__pandas._libs.tslibs.offsets.HalfYearOffset.startingMonth.__get__pandas._libs.tslibs.offsets.HalfYearOffset._from_namepandas._libs.tslibs.offsets.HalfYearOffset.rule_code.__get__pandas._libs.tslibs.offsets.HalfYearOffset.is_on_offsetpandas._libs.tslibs.offsets.HalfYearOffset._applypandas._libs.tslibs.offsets.HalfYearOffset._apply_arraypandas._libs.tslibs.offsets.HalfYearOffset._startingMonth.__get__pandas._libs.tslibs.offsets.MonthOffset.is_on_offsetpandas._libs.tslibs.offsets.MonthOffset._applypandas._libs.tslibs.offsets.MonthOffset._apply_arraypandas._libs.tslibs.offsets.MonthOffset.__setstate__pandas._libs.tslibs.offsets.SemiMonthOffset.day_of_month.__get__pandas._libs.tslibs.offsets.SemiMonthOffset.__init__pandas._libs.tslibs.offsets.SemiMonthOffset.__setstate__pandas._libs.tslibs.offsets.SemiMonthOffset._from_namepandas._libs.tslibs.offsets.SemiMonthOffset.rule_code.__get__pandas._libs.tslibs.offsets.SemiMonthOffset._applypandas._libs.tslibs.offsets.SemiMonthOffset._apply_arraypandas._libs.tslibs.offsets.SemiMonthOffset._day_of_month.__get__pandas._libs.tslibs.offsets.SemiMonthEnd.is_on_offsetpandas._libs.tslibs.offsets.SemiMonthBegin.is_on_offsetpandas._libs.tslibs.offsets.Week.__init__pandas._libs.tslibs.offsets.Week.__setstate__pandas._libs.tslibs.offsets.Week._applypandas._libs.tslibs.offsets.Week._apply_arraypandas._libs.tslibs.offsets.Week._end_apply_indexpandas._libs.tslibs.offsets.Week.is_on_offsetpandas._libs.tslibs.offsets.Week.rule_code.__get__pandas._libs.tslibs.offsets.Week._from_namepandas._libs.tslibs.offsets.Week._period_dtype_code.__get__pandas._libs.tslibs.offsets.WeekOfMonth.__init__pandas._libs.tslibs.offsets.WeekOfMonth.__setstate__pandas._libs.tslibs.offsets.WeekOfMonth._get_offset_daypandas._libs.tslibs.offsets.WeekOfMonth._from_namepandas._libs.tslibs.offsets.LastWeekOfMonth.__init__pandas._libs.tslibs.offsets.LastWeekOfMonth.__setstate__pandas._libs.tslibs.offsets.LastWeekOfMonth._get_offset_daypandas._libs.tslibs.offsets.LastWeekOfMonth._from_namepandas._libs.tslibs.offsets.FY5253Mixin.weekday.__get__pandas._libs.tslibs.offsets.FY5253Mixin.__init__pandas._libs.tslibs.offsets.FY5253Mixin.__setstate__pandas._libs.tslibs.offsets.FY5253Mixin.rule_code.__get__pandas._libs.tslibs.offsets.FY5253Mixin._get_suffix_prefixpandas._libs.tslibs.offsets.FY5253Mixin.get_rule_code_suffixpandas._libs.tslibs.offsets.FY5253Mixin.startingMonth.__get__pandas._libs.tslibs.offsets.FY5253Mixin._weekday.__get__pandas._libs.tslibs.offsets.FY5253.is_on_offsetpandas._libs.tslibs.offsets.FY5253._applypandas._libs.tslibs.offsets.FY5253.get_year_endpandas._libs.tslibs.offsets.FY5253._parse_suffixpandas._libs.tslibs.offsets.FY5253._from_namepandas._libs.tslibs.offsets.FY5253Quarter.__init__pandas._libs.tslibs.offsets.FY5253Quarter.__setstate__pandas._libs.tslibs.offsets.FY5253Quarter._offsetpandas._libs.tslibs.offsets.FY5253Quarter._rollback_to_yearpandas._libs.tslibs.offsets.FY5253Quarter._applypandas._libs.tslibs.offsets.FY5253Quarter.get_weekspandas._libs.tslibs.offsets.FY5253Quarter.year_has_extra_weekpandas._libs.tslibs.offsets.FY5253Quarter.is_on_offsetpandas._libs.tslibs.offsets.FY5253Quarter.rule_code.__get__pandas._libs.tslibs.offsets.FY5253Quarter._from_namepandas._libs.tslibs.offsets.FY5253Quarter.qtr_with_extra_week.__get__pandas._libs.tslibs.offsets.Easter.__init__pandas._libs.tslibs.offsets.Easter.__setstate__pandas._libs.tslibs.offsets.Easter._applypandas._libs.tslibs.offsets.Easter.is_on_offsetpandas._libs.tslibs.offsets.Easter.method.__get__pandas._libs.tslibs.offsets.CustomBusinessDay._period_dtype_code.__get__pandas._libs.tslibs.offsets.CustomBusinessDay.__init__pandas._libs.tslibs.offsets.CustomBusinessDay.__setstate__pandas._libs.tslibs.offsets.CustomBusinessDay._applypandas._libs.tslibs.offsets.CustomBusinessDay.is_on_offsetpandas._libs.tslibs.offsets.CustomBusinessHour.__init__pandas._libs.tslibs.offsets._CustomBusinessMonth.__init__pandas._libs.tslibs.offsets._CustomBusinessMonth.cbday_rollpandas._libs.tslibs.offsets._CustomBusinessMonth.m_offsetpandas._libs.tslibs.offsets._CustomBusinessMonth.month_rollpandas._libs.tslibs.offsets._CustomBusinessMonth._applypandas._libs.tslibs.offsets.raise_invalid_freqfreqextra_messagepandas._libs.tslibs.offsets._warn_about_deprecated_aliasesgetvaluespandas._libs.tslibs.offsets._validate_to_offset_aliasaliaspandas._libs.tslibs.offsets._get_offsetpandas._libs.tslibs.offsets.to_offsetpandas._libs.tslibs.offsets._shift_dayinteger division or modulo by zeropandas._libs.tslibs.offsets.shift_quarterspandas._libs.tslibs.offsets.__defaults__pandas._libs.tslibs.offsets.shift_monthsdtindexday_optmonthspandas._libs.tslibs.offsets.shift_monthstamppandas._libs.tslibs.offsets.get_day_of_monthpandas._libs.tslibs.offsets.roll_conventionmodbypandas._libs.tslibs.offsets.roll_qtrdaypandas._libs.tslibs.offsets.__pyx_unpickle_BaseOffset__pyx_statepandas._libs.tslibs.offsets.__pyx_unpickle_BaseOffset__set_statepandas._libs.tslibs.offsets.__pyx_unpickle_RelativeDeltaOffsetpandas._libs.tslibs.offsets.__pyx_unpickle_RelativeDeltaOffset__set_statepandas._libs._cyutilitybuiltinstypenumpydtypeflatiterbroadcastndarraygenericnumberintegersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufuncdatetimedatetimetimedeltatzinfopandas._libs.tslibs.baseABCTimestamppandas._libs.tslibs.timestamps_Timestamppandas._libs.tslibs.conversion_TSObjectpandas._libs.tslibs.dtypesPeriodDtypeBasepandas._libs.tslibs.nattype_NaTpandas._libs.tslibs.timedeltas_Timedeltapandas._libs.tslibs.ccalendarpandas._libs.tslibs.timezonespandas._libs.tslibs.np_datetimeInterpreter change detected - this module can only be loaded into one interpreter per process.__loader__loader__file__origin__package__parent__path__submodule_search_locationsModule 'offsets' has already been imported. Re-initialisation is not supported.cython_runtime__builtins__pandas._libs.tslibs.offsets__orig_bases__init pandas._libs.tslibs.offsetsx}_ǶIp 8 @11C&yrKjc! u,YjZj%KZOȟ𝡪{wíONU  ero"^Wufvf<^W~+M.\j*Sq*MԋY,3ڜcjԬF-edj[뎛 CQ`NwԗH&wl=mm0{ol*$Cá;T.aN9OnfMdž'/F@x0{ǺʒwGyQ@nhnƍNt x2iG7U@/[5檊Ã5q|x`yڢag҉J cw'2֥Ɛ5ԫ7QsTpl) @ δPňbLވn 4 tT2A.S\u'*`0.Mˣz3=1fO:}I ^maґC"`I{mmPȧ>=Tyx)ݝ#fQވvK3PK  ̃ *y;9!s[…RfJ-zmp-P(e [LJ, գ:K_zQ:0JJE&*(!ڄGL蜛UПSeV57uxJ׉7e~k534FO*ȴ&I'@ >ds0h6a;8*Z& QؑLyVP[5aɒQZ]Eu8x>>;=a#Tj}}'M'`;W6/V+CzRAjBՙjUNJ gCv-L95OZ`nݕy[BP 13Jc]e@5jN +/_& ;iw|+Bhzr!$E_Ԟ4  ؆&66-m)cN]dx|&jcP r]1$$] Nx}dk9>XPIHOVGǣat?P8);C>q'oWeil? _K(%]@uy{xR_n0q9U&I#xѕ5,!TgGJN41 AJTKBkmd e*9NzeݑT,]]gk (oZp>m;ad-& lc3]'0^}yDy (84ˤgz;NQRQЀ@hAb4\Ke$%n'*9 6%ˤuQWcz} RQ 4Dm Y Z'󷶀=fɆM'ךۻh!NW6uԠy=()7Po˝%A&N{+Ĭu阨(Ä)zjȶ ΁qo[.*Nk;N jUoq;-H9#3˄GZ)՝>18Ok|2{2 OxUwO\W AUNp4Y{'Q vjߟJ'SFޖ*;DhyUYpr!;]G"i5 иh2I5W"_"CPቔU*zl?1-?B64NFT-[vT.d /nض햧ac>6˃= (ekϊpF-q4C*3uvvN^xBQ8k8/i zt&dIusuՠ/vY^>ٌՉx&|d(Ğ(4JznhnrQih*x#(@`N+,sU?T :bq?9@"@M  qKQSӱGN-֒sG֕92vF{JGW{O!='7:a,S( Es`E!ÂM ^pE &zFBTk KYETcR^ `9r%W{lkz4$Ԑ7aQelK^(2 KodOz=N}e9ht򵉱F=*<8M>dzsR ݫHR/~;Q=t'L&1U'CkjIt#W+xHևO &: +2yn4qz5 ?蔮%WeMh}rI›.np*{a4Ku>NyBDym pANWyb6eZƑD4l;{7Vh),[Իu/[4n̿'nwcLxU3w|CG3WMI0$WC1&>^"Ώ„R.O)0fsECLœkf_J^o~ #:}'D $39- heZm*ޱ+HAh?C+2 }N[+{| rV8]= zc#CQ)dvz0*jeҼ*bdS ȁibUHϿ/57TaWU= Vrh@h] `kvEKc5˔4z6y֎sof;y.F3i t<쨂z2h𘑮\Ma]#!֑؄,゘_hr]9x)߫d:~R>L&@<KLj|ߍtqz+3xلOǺ࿊dx^&Ǐ9Rݳ0 2 4ǖLɑ_P<`4^O'3kx(xD44w_YIJvk}@Rd *7Jsa[˽auC[*Oz-Q =Aѻ3ӱs_0N#)vl9SO9*(3̄ :I\|by9 ܧ*eZ-favTC0ࡦ$$/~?}J?9WWV"SO#oYHG۴9r Gvw%[iSZVNڜIiڎQAɶ]ϗu YQ<1=xb Y<$K$u YML|y$:W!U?"r45ÆǗNvH:Ts+ٟayϩA1@5%CS6ip#o.,;Ij>K0OK:mr*'/Te5U*:BWZ|E>E4`1Pj2-KREjaٗ|{t=6"T^ aY^XT2@3ϣb%vHѴvqr`)*ag +6#/aA.5#)mUNCNu,9ZS Xa /q kv_z>X7l$v o 'T_UZQuw:i{{jNVDnw$ҙ4E [2\ؕؗ#K ePrˌQ"~CK y@sـL,Սؿ|FU:9JSfHSӉbp)09ȯ6ؑڴיNubvfjGUj׵X2 z=^SW|ppD^ }J0$® QVG~e=u}è5v'@B@9۫Dێ!~A*ELwW~Kt_~ke3z\%jY+C 2pS˗u90ej!az+>+V G]PbXl]o~~9DBߙnn4а'Si3ޫ}o{Oy#}mޣ4]yϣTKOa;6}i@|'λ[Yrޱ TXQ߉"Sq%} QuwhꎢGS'MUq j!juyUh\}[[ʕw@ R5k;Dz*9zЄɷwv_HqOQgv᩠f+v4YOe/xwbpU@*YlKn! -Bz<mD]!ykz/vzOb9i=SQCb=ǹ{49^=3ũ2b#1q~¯a2X;;+ڡ_NBrqsaV;v o5:Ný~eiDjgѷAGAxv߃ǾW@ot 'x}ϝeu}"{մzIuUҰRyu.2һۨK=kV5.U%BOEnrPW\E rRZpg uAr*1<=۲|~[7SxςPyg:Cw3u.MXL"ѥ`e\מC n|:` \[ 8: U5v׻. 9u+ENlΊkIuUx]ة\Ǒu&:;(^D'{wkH]! R L艤0Q>߁nZx<>CQ?NtǾ#B NCj'e}Ěyǐ:7:;h.; wg?sx_ Ϋ_"z P[*D|oRzV(OzB7mJG̙Dt]OO^a+pui1jnJ/=DoAU*F2Oء#U.>x-]D2k L/C, u17,{11c׈C#.X neUyYN*7wcFQ`%p,~.Gwco;47xWtW C#CƆnr0b2: TIS=hob]J'i79גǹٖ*bA>|L`Ru6&2dTr2w0̜ 7b[`w6uӆjovm:I#=ObFݻWVjkK^1#nLIې4mvaTTIan[N2E̴0w}}v2m>Eo lF R"`q$X`MLXKs0T6[qlWUG2Ǔ[V?P6n(& D||04!텾x)Hg`Rn&zt{ Һ@.w) E5 Eؠ\a|̸R{*KU.QdE8 n΢>s#rym, oU[7S4FJ7 o):Gո-ZA3=#kc1[wg[!$VIbI!* bUr5؆h͂ȲB4eXRsgZ _aw8̓Zԙ g 9}risAj\)KTn"/0swʹb>|^0p[?A)8&(ˠw#MJoQSč 햖A[<)ojNiź0%^d }=Ws/2v AKt c֐4I>`#pv[CbXULR8èA 4𫭓6ASqt^,esGʻ@Ur;\T7lAt Q"^^)Qu=^Ğ<kOQ^mwOʮIg+ ʊKJj1K_ QLڗ>|n:"%}iaZp ,yZ餲kڈی{*k=#{8>6GUF`1pKUƻXt֭W[1YvVػBsE&Q*tAA2u ߺӠN`WaGA3[I@RGR˛ -pzfPr4LVŵF.bzG7[1ڊ*pLb6=>3 eyoZZB eY?@O2Ӣ%mǧB_7 K*yV/ u0/ a:$x<㮶 E&M(Ă}`}2wC㡐0JEJEiɯWT3PH@_6^}bjE؛1Oo+^!(Ӄo%eZ*muAJB[8x,*@ǵe%0zX! Ej+KT϶T>s'=ϔ&)M-400ݰ[tR3Y?[ZWN3ߘ 7.šHAǀܛ@&uobW[˪Ň$PGF{^bTދɧx]yWNy0;&]~nr/:\L/ui jJj <Tʺ')īkRqc *ꀋT?z]k9l:m% "683M[8+,l `hO&M8nFol~DE^k 'uȪ5x#\wc&h2…-v(F GF"{\(5#q ̀Bcgo/#}Ph\GS!)9e ]hvvriyv1|gA٦gd*zx _ [OEthVF¼O}ɳQ̻k uڗ>:ޗI 95v܋J7$ uiʊFjW+Hr"G$ ?Wwo Q+g`"3 O_@?LBxvq1<?pNq0=}x4^ƫ=_~L..-͡c]+sfbV?Hā!!j<f~ETc~peyz }w$xz_?cF<碱0W$xr젎FqΛfqeQ8gJLI9OdRIVF] #}*vL  *xȋ=)-gzS;bp*❃ KqcZ~ )J;9ѹK_@}g 84usm 0 Y[0WC>*sݫHV[0e FIW J< j=zbŒ#B2yGUSlR"º믠cЍ[t oXk:}hZa>䚯(zœQ=nю+iαrfGȤ,L\46iNz3`@@o1#픡[ۉ#;]K X]<%GjKC812: @|--'ᨎ /a ETlֳqmո0 ;N66j+j8Ф4q Lq.iF{f@?}!Ej vw($i'l0:֣;Kd*JCvp = "rF[H>I7*'sxA56Ǯk|"GN9H3ab(>B+ zc09c "~ :3l+fSb1?|$: o"fݼ4 7x&fzL`k @q im%+(w^8BLFWTI?sR+ŽITVjA;*M3Q-U{z%wWci41.F}V;mD!Wsg G"25W<-̇ uA(JM""S!ↅ?]mH 8 bq߉Hp̆  ?i(䡣Dra1gCO)ZV{JH"v.362T?|KPE%Ғ8'h)*OK%^~"H^Q“7D_=^#8L,@+PLu $]opvt)zDNGyQQzJ ogtI@$~ߋCsq3 Qz)$D028(w@aFA6{ }ư`[E!rgZvyభ8W} 7f:r#B~`lR2SAz>So5۱N }ۅPa򠩭_;!L5PPg#ԖʮASK1 u|cgCʍl z7?O.Evmwq#dqna歫ty}{9q.̯EH6>۟oklr9a܁4ڻ(Un=+tg=}yN{v dvw6ӹ9$"Kk4tPned7_*_ =%vd[aVs380PGmŇMVuh\{v6J({Җx9`D6t[n*{aG 40Q$< uMx:{!;) W)Ԟ]I7uƕ ) z0S݆VYbպK so`J +{{ہ_ ,cϑ[]c3h9 ,wuM"*]pvv(K~6/@?<&61H)8eFg~! gSHb4r%w /tpBNs8]^} @z觥EO% !0LaxVi#Vxi霝qF4]QСkms^0pˎKYyA/l(>_iL`D&yX}0 /f[,jeg,sݺ@]$}Ԭ$mWA'ȶk9yQ$M /s]`rkͥIm~3Q?`R_oo)nNh,wJ%ܧ&+ tifAնk9dRD[j iEoHb \%S헳żUn,N7/kW~ѼXHvi%9h<0 1& "Nzߊ y׊ XM(emhXo-PWwZڽdFz5+]/-[01?PNq#?jo& 2Oi h0o=hBc:Xx7|bWk7taSHMȀ `-/]XP*/k[8˗a> r7k>C‰^D'plt2$!i6y }˅/O۱;ޝJy̰yH{ 3V) /,9sMItڋ@U;{ 82迠gYl!9 7G< %HSd;㈕˹]}rNf`SWI6hT_ǂ 5FR/G]U}:~H]h,6 y?KHӓsA+A3w#\@|>twu |RQ/1E/Po,^]>pODd\B%`3О1# fa ͋*%Hd8h>h("![䏿!B6ۂn^9aԄr Cb{a!o*bPA3<5xoe[HC dA" hj!lA0A`7N=aR#6gj [H8rE2]~|6:=t5pm&*(*.c߁VmDZM*%%`mLj 8;%fbPN? *11 Yú.fҨCt\ 7eSzx ,}[9 h6_ 7Շ[ A|T5ПnV󏈹qBbEaq4l _.lE4ˮ^t=;$2ⴒ| -SvuE|& J;7WF1B7Oe @YІ1)9y~g'yTnp#4)/ASk؃Y9#~gAg)(3nZ_oKB3WphAHWs]+sp xoH)f`0A?ڤ4g;`r|s$,ŦzZ sZPRQ'Q9YwXzPR; 2? d$لjEo|pZY`g`[&wYҜ\lgB7ꞡ}6BDp#6dG* ȝF%qyډ݆jdg<#'' MVIVӎԕ2z+(d!-HZGGbcّ@( |7O[@s~V0\7h5^(&zZcyRP<.<+[Y!7 e͡L \ HfF +b@v`(6wP0 :hߣe~ |\O,7UOhO|@3 Hz9YJ>\Ф$zcZfMV.gI݊ F>EJ]&xZlf/D8);#)}Ǿp,xY:X^caЬdq&y=ܬ(J JZ4 v e,]_0OwP+>+"|2PB/39RFWGQp~,@wHl4N]ZIb*p2.IL*<FQx:܎=Z-=mJCѝO|:v8r)$H+*Ir,, -gOa}8`Yl/ɟ.vHcݤZLܓB^3`H`D[k;)˓=ډfe2|jmjkJ~ =DG֡46T #gaRqs끪C*c \ }_oc{{ @r=Zo]79}xP6ҁ&:mg}UkUYUE' H z#(%GG4Chp * ls?w%IddTGbkd< G1h^X.v`ͣGn(GuQDo|Pp pYQ&`Z.Vd6  lcDHAF:UodGXk@aVV dc޵o-51{wb7\~Bl!Cv4~j*9dQN\%P ez~ЈdbhijQ"r {I>. 2XkjE{= i! HMTL^v/Mv#XҴWD'Nqӟ4Vj~5n$`҃ƞ|:z@.<޻7\^X*/-@*e`i:Gj?>pq DOv32tvQAFspLs?cϔZKG X2*@(-RxfXMd H4- Y@5Wn0sR[ ] BQ䟳"J |HH-c8.~PuZ7 iZ+:jy% =:YCy ql1^eSvJeЖ~/a[6} mȠʃٿ"ȎoIFE Ec"ש`g|1sPhPM4Xܭ`n5 QV|E֦h7 ) ZgSn '0.mWA_Tt,+`,6NyXKlTx&*N CT:֮ uM9u*ACN=ǖz";+"H8hnvؼ]] KKLWzhao+ٺXIΙ[`hܢ_ mr]TN!"lz[T7 i j;&zpٕץȊnJ]CUF~"& Q[(<\gRs|I(`g7;d0QD&yPsnk9%edh.E>A~6)Fb7'jGkM"6m*Ո >iƧƺ6v0s ߕ @yl 9pyXfwO9/|\R+2M .ΔJv?o҉tGo]{ޔ)\z --.(O hbH V벆8s cFˍoy#Aaټ_2|6$:QBGdwYO9/+b9mˋh&r{rhN`IQoNZX3'19}W  a./)R!GHgO+N+"OP -=/>,6e/ uV;;AFW[d>(u7bH;ր*&*=c_ J_ QPk;B8})sqΓ -]2oR(k&JzcPvEQP-=>J?EBÚ ]7Ȱ'V4A<)j ^dZZ.vVP2>dN>-Ju2GMQ)5 !@A+cܷ1PپL<2ru&l6[!kCL]^d=Ȟ#(7ljB?7kiЀk>ǤRڠuVOlX؊q=]m\'3Q-O_}r?sname '%U' is not defined while calling a Python objectNULL result without error in PyObject_CallMissing type objectCannot convert %.200s to %.200sExpected %s, got %.200sat leastat mostexactlys%.200s() takes %.8s %zd positional argument%.1s (%zd given)free variable '%s' referenced before assignment in enclosing scopehasattr(): attribute name must be string_cython_3_2_4Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilingkeywords must be strings__name__ must be set to a string object__qualname__ must be set to a string object__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function calls__annotations__ must be set to a dict object%.200s() %s (%zd given)%.200s() %sBad call flags for CyFunctiontakes no argumentstakes exactly one argumenttakes no keyword argumentsunbound method %.200S() needs an argumentneeds an argumentlocal variable '%s' referenced before assignmentasync generator raised StopAsyncIterationasync generator raised StopIterationgenerator raised StopIterationneed more than %zd value%.1s to unpacktoo many values to unpack (expected %zd)dictionary changed size during iterationcannot import name %S%s() got multiple values for keyword argument '%U'functionstrings are too large to concatArgument '%.200s' has incorrect type (expected %.200s, got %.200s)Expected %.200s, got %.200sintcannot fit '%.200s' into an index-sized integer'%.200s' object is not subscriptable'%.200s' object is unsliceableUnable to initialize pickling for %.200sinvalid vtable found for imported typemultiple bases have vtable conflict: '%.200s' and '%.200s'%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd-%zd from PyObject__pyx_capi__%.200s does not export expected C %.8s %.200sC %.8s %.200s.%.200s has wrong signature (expected %.500s, got %.500s)variable__mro_entries__ must return a tuplemetaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its basespicklePickleErrorIncompatible checksums (0x%x vs (0x%x, 0x%x, 0x%x) = (%s))generator already executinggenerator ignored GeneratorExitcannot pickle '%.200s' objectdoes not matchcompile time Python version %d.%d of module '%.100s' %s runtime version %d.%dzlibdecompressFailed to import '%.20s.decompress' - cannot initialise module strings. String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'.__int__ returned non-int (type %.200s). The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__int__ returned non-int (type %.200s)an integer is required?@"$"%'"$""#'!'$$%&*** %5)-!)1,'$',04!$ " AL&+/'  {|=TjW5 702." #$(< E* _E2&% %" 8'" 5)#"       '        !        % ' !  ""                      "                               "                       xn[RuR o=3:-$=L>2\&D>?,& sH=:Kp"7-/,^L3%UJ*6HLsb3-6086U**0d%1qIw:P]63S* )O W xnU>@a?C jiG`8u"Y! 7: K3NEXG 0F 4Q@BeV ʚ;pL M @ P(`(S X(h(p(x(( i 0S ? S 4S ( o  9O ;{<,@ ,v@.text$mn@6.text$mn$00v.text$x P.idata$5P(8.00cfg(.CRT$XCA(.CRT$XCZ(.CRT$XIA(.CRT$XIZ(.CRT$XPA(.CRT$XPZ(.CRT$XTA(.CRT$XTZ(*.rdataS t.rdata$voltmdS 4.rdata$zzzdbg(V .rtc$IAA0V .rtc$IZZ8V .rtc$TAA@V .rtc$TZZHV 4.xdata `.edata@ P.idata$2 .idata$3 P.idata$4 .idata$6 ].data `E.bss` ..pdata  t20  4 2pB!4 ::`V !t4 ::`V ! ::`V 11d B!TJMJV !4MJJV !tJJV !JJV !MJJV !JMJV   4 2p td4 rPdT42pd42 ptT42d T42p2p!4W !4W !W d T 4 Rp4 2 p`P! " W ! " ? W !" ? W ! " W   4 Rp20R0 t d T 4R  4 2p`P  4 2p!ThX !ThX !dX !X !hX 2`!4 !`!X !t`!i!X !`!i!X ! !`!X  T4 Rp`b2pP0!d pXY ! dY !dY !pXY d T 4Rp!d4t55`V !55`V d T 2 p!  4`QQY !`QQY % T4 p `,P  t d 4Rd 4 R p0  4 r`!t KZKxZ !t KZKxZ 4 p`P,@ hxT4 p `,X  t4T d 4 p dh4 pP,h!@N8O [ !x@N8O [ hR0  !4 ]]h[ !  t dT ]]p[ !d]]p[ !d]]p[ !]]p[ !]]h[  d T 4 2p//t20Q QLdGT  p0dT 4 p 4R p`P t dT42 p`P0,@ `0,H! t T ,-\ !,-\ ! t T ,-\ Bd42 p  d 2p!4WX] !4WX] 4< <4,t%T ` 0!4 >4>`V !t4 >4>`V ! >4>`V !4==`V !==`V !t4==`V !t \1\PX !t \1\PX !  dt \1\PX !t d\1\PX ``dT 4 R p  4 2`!t T^ ! `^ ! `^ !t T^   4 p4 Rp`P d4 p P `,P!$ $ tT4^ !^ ! tT4^ * 4$ p`P,% 4 p`P, `,!]]h !tT4%_ !_ !_ * 4  p`P, dT4p% T4 p `,h% 4 p`P,) 4 p`P, dT4p dT 4 rp) 4 p`P, dT4p 4 ` [  p`P, f p0P,!h2dozr{(a !zr{(a !!!d4tWX`V !WX`V !td4WX`V R`!4 ooa !  t T ooa !t ooa !t 4 ooa !ooa  0!   t dTNN(b !NN(b  0,x!  tdT__lb !__lb !__lb 2 $t#$d"$4!$P,2 $t+$d*$4)$"P, T p`0, P,! wtod4ss@c !ss@c ! td4ss@c d 4R pd T42p* 43( p`P,0p!dT 4 c !c  d T 42pT 4 R p ` B p`P0  p`0P 4R p`P p ` 0 P 4rp`PP,!V Vt, d4)d !d)d !)d !)d 1 dT4p,g gt bd 0PT4 `,P!te !e ! td T4e !e   !+ +  t d T4p  f !p  f d4 p,XF Ft 4 2 `P  p`0Pwwd 4 pP,`4 2 p`P  4 Rpbp!% % d T 4 ((f !((f NNd 4 rpBp0! d T@QTQ0g !@QTQ0g T4 r p `d T 4Rpp`! T4 mmg !mmg * 4( p`P, T4r p `4 p`P,P d pP0,HP P4T p`' ! p`0P,==t 4 R `P+ T4 p `,8 't;'d:'49'2P, ",!d ~4&;tT!@ah !t@ah !@ah !@ah !% % d T 4 f !f r!> >T&t d4 22i !22i !22i   `P!g g b4@8 t aai ! aai ! aai !aai  4 2 p`P* 4*  p`P, !W WT( t d4|#}j !|#}j 44d 4 Rp"7P,p!46pj !t4j !1d5 23k !2d5k !d5k !d5j !d5pj  ,!? ?'td T4k !k !k  ,!\ \tQT#d4  k !  k ! tdT4  k  ,!BBh %td T4 `l !`l l l4 p`P,* 4-" p`P,  0!RRT tdl !l YYT 4 p`8 'tk'dj'4h'bP,r rt `P0, ,!//h ' td T4$ Gm !td Gm !td Gm !t Gm ! Gm  p`P0,X ,!u umd@t T4пDn !пDn !пDn <94db p P 0CC>9t4T/4r `8 83t.4 b`P p`P0,--t20  4 Rp4 p `P  4 p0 42 p ` P& 4 p`P,  p!  d4 p} !d4 p} $ p`P,!48} !8} 4 p`!Tij}  p`0, p`0,& 4! p`P, p`P0,, T4 `,!t0t~ !0t~ !t0t~ !4p`P,p`0P,x+ dT4p,`& 4 p`P,"4p`P,%  p`0P, pP0,x!duw !uw & 4 p`P,& 4! p`P,#4 p `P,d42 p& 4) p`P,# p`0P,!)@lnL !@lnL !,p`0P,@!))*+5P5 !P5 !)L !L %  p`0P,!p`0P,!0! !0! !0! * 4  p`P,& 4 p`P,!tggHX !ggHX !td4hi`V !hi`V !d@~~} !d@~~} !@~~} d 42 p!tpHX !pHX !t kHX ! kHX !  tdHX !tHX !HX !  td0sHX !t0sHX !0sHX !  tdHX !tHX !HX !  tdHX !tHX !HX !  tdHX !tHX !HX !  td0sHX !t0sHX !0sHX !  tdPHX !tPHX !PHX !  tdSHX !tSHX !SHX !  tdHX !tHX !HX !  tdHX !tHX !HX !  td`##HX !t`##HX !`##HX  T/4,& p `T4 r p `$ $t$d$4$P td4Pt4 P!tT 4a !tT 4a - 4 `P,!t !  p ` P 0!0G04 !0G04 77t 4 2` p ` 0! UU ! T UU ! UU 2 2-t(T #4 r`zz4 d T R p  2`P!  t 4%&& !t 4%&& !%&&  4 p`Ptd T4 dT4!t| !|   2p`!  T 4 л  ! ć ! ć !л  !t d T`?`PX !`?`PX   4 2pbp0!d `sH !sT !sT !`sH   p`P,`!4 aa ! aa !tM7NHX !M7NHX ! t d T 0RCRPX !t 0RCRPX !0RCRPX !4VWW !d4VWW !d4VWW t d427 v  v2P  4 Rp     )  *  4rp`a > > RP  brp`0  4 RP "gP4PdT4p   . offsets.cp311-win_amd64.pydPyInit_offsets !( v h .   p V @ *  ̨ ~ d P * 4 > V  Χ $ p ؗ  4 T n ̘  . > P b t ֙  & 8 H ` p š ֚  " 8 N h v ʛ ܛ $ 6 H V d r Ĝ  & 4 @ R ^ p ҝ  4 H \ p О V $ 8 P j ҟ  8 V f z Ġ Ҡ   4 J ` r Ρ  : X t Ƣ ܢ ( @ N \ p ģ   , H ^ t Ԥ " 8 T h z ¥ ޥ   $ 6 F V f t Ȧ ڦ 8 > *  Ė n Z J &  ؕ ʕ z R f   ڔ ʔ z j Z F ,  uPyObject_GenericGetDictwPyObject_GenericSetDicttPyObject_GenericGetAttrPyObject_SelfIterPyMem_MallocPyMem_ReallocPyMem_Free@PyType_FromModuleAndSpecLPyType_IsSubtypeMPyType_ModifiedPyObject_ReprPyObject_StrPyObject_RichComparePyObject_RichCompareBool{PyObject_GetAttrStringPyObject_SetAttrStringzPyObject_GetAttrPyObject_SetAttrPyObject_HasAttrPyObject_HashPyObject_IsTruegPyObject_ClearWeakRefs_Py_Dealloc_PyType_Lookup&_PyObject_GetDictPtr\PyObject_CallFinalizerFromDealloc"_PyObject_GenericGetAttrWithDictPyObject_Init_PyObject_GC_NewqPyObject_GC_TrackrPyObject_GC_UnTracknPyObject_GC_DeloPyObject_GC_IsFinalized'PyBytes_FromStringAndSizePyBytes_AsStringPyUnicode_FromStringAndSizePyUnicode_FromStringPyUnicode_ResizePyUnicode_FromFormatPyUnicode_InternInPlacePyUnicode_InternFromStringPyUnicode_FromOrdinalPyUnicode_DecodeUTF8{PyUnicode_AsUTF8AndSizePyUnicode_ConcatPyUnicode_SplitPyUnicode_JoinPyUnicode_New_PyUnicode_Ready_PyUnicode_FastCopyCharacters_PyUnicode_IsWhitespaceRPyCode_NewWithPosOnlyArgsQPyCode_NewEmptyPyInterpreterState_GetID PyThreadState_Get PyThreadState_GetFramePyGILState_EnsurePyGILState_ReleaseV_PyThreadState_UncheckedGetPyErr_SetNonePyErr_SetObjectPyErr_SetStringPyErr_OccurredPyErr_ClearPyErr_GivenExceptionMatchesPyErr_ExceptionMatchesPyErr_NormalizeExceptionFPyException_SetTracebackCPyException_GetTracebackDPyException_SetCausePyErr_NoMemoryPyErr_FormatPyErr_WriteUnraisableOPyOS_snprintfPyLong_FromLongPyLong_FromUnsignedLongPyLong_FromSsize_tPyLong_AsLongPyLong_AsSsize_tPyLong_AsDoublePyLong_FromLongLongPyLong_AsLongLong_PyLong_CopyRPyFloat_FromStringQPyFloat_FromDoublePyMemoryView_FromMemory:PyTuple_New8PyTuple_GetItem9PyTuple_GetSlice;PyTuple_PackPyList_NewPyList_AppendPyList_SetSlicePyList_SortPyList_AsTuplePyDict_NewPyDict_GetItemWithErrorPyDict_SetItemPyDict_DelItemPyDict_NextPyDict_SizePyDict_CopyPyDict_ContainsPyDict_UpdatePyDict_GetItemStringPyDict_SetItemString_PyDict_GetItem_KnownHashPyDict_SetDefault_PyDict_SetItem_KnownHash_PyDict_NewPresized_PyDict_PopPySet_NewjPyFrozenSet_NewPySet_AddPySet_Contains2PyCMethod_NewPyModule_NewObject PyModule_GetDictPyModule_GetNamePyModuleDef_InitHPyClassMethod_NewPyStaticMethod_NewPyMethod_New=PyCapsule_New:PyCapsule_GetPointer9PyCapsule_GetName<PyCapsule_IsValid;PyCapsule_Import2PyTraceBack_HerePySlice_NewPyDescr_NewClassMethodPyErr_WarnExPyErr_WarnFormatPyArg_UnpackTuplePyErr_PrintExPy_EnterRecursiveCall Py_LeaveRecursiveCallPyEval_SaveThreadPyEval_RestoreThreadPyImport_GetModuleDictPyImport_GetModulePyImport_AddModulePyImport_ImportModulePyImport_ImportModuleLevelObjectZPyObject_CallbPyObject_CallObject_PyObject_CallFunction_SizeT^PyObject_CallFunctionObjArgs`PyObject_CallMethodObjArgsPyObject_Size}PyObject_GetItemPyObject_SetItemlPyObject_Format~PyObject_GetIterPyIter_CheckPyIter_NextPyNumber_CheckPyNumber_Add8PyNumber_Subtract1PyNumber_MultiplyPyNumber_FloorDivide:PyNumber_TrueDivide6PyNumber_RemainderPyNumber_Divmod2PyNumber_NegativePyNumber_Absolute,PyNumber_Index.PyNumber_LongPyNumber_FloatPyNumber_InPlaceAdd)PyNumber_InPlaceSubtract$PyNumber_InPlaceMultiply!PyNumber_InPlaceFloorDivide*PyNumber_InPlaceTrueDivide'PyNumber_InPlaceRemainderPySequence_TuplePySequence_ListPySequence_ContainsPyObject_IsInstancePyObject_IsSubclassPyObject_VectorcallPyObject_VectorcallDictPyObject_VectorcallMethodPPyOS_string_to_doublehPyFrame_NewPPyType_Type PyBaseObject_Type _Py_NoneStruct _Py_NotImplementedStructPy_OptimizeFlagPyByteArray_TypeK_PyByteArray_empty_string*PyBytes_TypePyUnicode_Type _Py_ascii_whitespace PyExc_Exception,PyExc_StopAsyncIteration-PyExc_StopIterationPyExc_GeneratorExitPyExc_AssertionErrorPyExc_AttributeErrorPyExc_ImportErrorPyExc_ModuleNotFoundErrorPyExc_IndexErrorPyExc_KeyErrorPyExc_NameError#PyExc_OverflowError*PyExc_RuntimeError!PyExc_NotImplementedError0PyExc_SystemError4PyExc_TypeError5PyExc_UnboundLocalError<PyExc_ValueError?PyExc_ZeroDivisionError PyExc_DeprecationWarning+PyExc_RuntimeWarningPyLong_Type PyBool_Type_Py_FalseStruct_Py_TrueStructYPyFloat_TypePyRange_Type>PyTuple_TypePyList_TypePyDict_TypePySet_TypekPyFrozenSet_Type1PyCFunction_TypePyMethod_TypeBPyCapsule_TypePyMethodDescr_Type%Py_Versionpython311.dll@strchrAstrrchr;memcmp<memcpy>memset__C_specific_handler%__std_type_info_destroy_listVCRUNTIME140.dll6_initterm7_initterm_e?_seh_filter_dll_configure_narrow_argv3_initialize_narrow_environment4_initialize_onexit_table"_execute_onexit_table_cexitapi-ms-win-crt-runtime-l1-1-0.dll RtlCaptureContextRtlLookupFunctionEntryRtlVirtualUnwindUnhandledExceptionFilterSetUnhandledExceptionFilterAGetCurrentProcessTerminateProcessIsProcessorFeaturePresentQueryPerformanceCounterBGetCurrentProcessIdFGetCurrentThreadIdGetSystemTimeAsFileTimeBDisableThreadLibraryCallsInitializeSListHeadIsDebuggerPresentKERNEL32.dll*( p} ,*  00,x 0#x 0#}  $0(0,0/x &043`61} `9 } @;3=6?60@ 3x ;x pD} F0K7L O} Q pT7p<V `Y<S0p[p P]Ћ ]<_} p` e} `t0<H<H<@H<@H<H=@*Hp  -n p -} <0y  } >} D} pN W}  c Ћ 0n r  { x Й8  ؜ Ƞ p  P@ ` Pp  Э *(,*0#0,} Pz7s=>t>@@v@CPvCd `v`DpFvxF@wF`y`HJyJyJ@z4gB-i$pPr*;`8JG@h3hCh@` I0 <At(L(D 046?4gG@h3h@0 Atx wPL(D  Lx 0|Ћ Rp P]<_ e<H=HS`H SPH<H<H} x ``Ў0S4g0%;pk8TG@h3hC@~@ I <HAPu@X0Dp  } } } 6 `Џ0S4g8pXG@h3h@p I <At} АZ(D` 4g8[G@h3hAu]0D0 4g8]G@h3hAx``0D 4g8`G@h3hAxXc 0c0D0 4g8`cG@h3hAx f0D 4g8PfG@h3hA yi0DP 04g8@iG@h3hAPyl0D  pe x (f } 0(x `7} _ i0Pr04g80lG@h3h@p <Atl(D p @} ll lx0x8~@P~ 0@@ P04p8`G`3@0 Ip <AyPD  } @;} Q} `t L4p8ЄG`3@ APzPPD0 p  pb @a pd  @c e pe n  @k r @0p  9x  p?0} } S `p  ؠ xЬlp\Ьd48pG3@ IP <Az  `D }   xFPH P`4g8`G@h3h@ IP <Atx 0D 0K pT7Ћ ]} p`} Pz7xF4g8G@h3h@ I <1Az8D0 } 4g8G@h3hAP{8D 4g8РG@h3hAP}x8D x 4gG@h3h@ I <@A}0@Dp 4g8G@h3hA}8D0 0 } } @PxF4gG@h3h@ IP <`A}8D 4g8G@h3hAP~Ћ дp8D 4g8G@h3hA~(8D0 4g8`G@h3h@0 I <PA~@D 4g8G@h3hA~P8D 00 f } +} `.@PxF0 x `4gG@h3h@0 I <A8D 4g8G@h3hAx8D0  4g8G@h3hA8D 4g8G@h3hA8DP 4g8@G@h3hA08D  70s } <} PP4gG@h3h@p A0D 4g8G@h3hAX0D 4g8G@h3hA0D 4g8G@h3hA0D 4g8G@h3hAx0D 0u} @} pxF0@4gG@h3h@ I <eA@8D }   4g8@G@h3h@` AP8D  4g8G@h3h@P A8D  } 0}  $} `9 O0p[HxFpX 48p G03 @ I <A @D Ћ R0x 4g8 G@h3h@ <bA 8D Ћ д04g8 G@h3h@ <PA 8D h @ ^ 0Xb @^ p  H xF@X  @4@G@h3h@ I` <`A @DP }  }  s P5} A0PV} 4@8 G@h3h@ A @D  h  l } `( @H  p0#xFp 4@8p G@h3h@ I <YApH(   X( HD } F `Y( @4g8( G@h3h@ I@ <)Ax, 8D } А 4p8, G`3@@ I <@lAp6 PD } 6 48`9 G3@p <PA@} @PI `D  h @ H(   } @x `4pG`3@ <AI PD@ 4p8K G`3AЈpT PD 4p8T G`3AP] PDP ] 4 A0]  4G3AP] @@ ^ 0 ^ 40GPAXb @^ b  @ pb @a 4G30Ab (@ 4GA@c (@ pd  @c d   4GAd (@ x 40GAd (@P 004PG3A0e @  pe e pe 4GAe @@ } x (f 4GA`hf (@  f n  @k 4G3An @ Pn `%4`#G$A} 0(pn H@P } +p  -n p -} `.r @0p s @3pr  s P5x `7 70s  9x } <0y } < } > p?0} } A} D} pN} PP} S0PV W}  PG } K l <x  L6L @Ѓ  h `X 0@ @S`S P UU @ VP h L4MG L>&?M@p H0 I : P0RQ0Fx A } _x ] c x a h i  l Ћ 0n0Pr r x @p0u {  0Ip ȑ   @} @ P} ` px Й8    ` H Ȝ  `p } p ؜  ( 0 P0@ P0P Ь` p  ` ` p p Н  P P P PЈ   0 @@ 0X (6ЬȠ p  ؠ ( @ P@  `  H ` Pp     Э p @4НBУ2ЩG03@ H I  6@# M 2-+] fub} pz} } } } } *} 0! !("< (""P ""` "#P ##} #$ $%T| &(} ()T| ),( ,y/} /1d| 1w4( 4\60} `6V9 `9:;T| @;;} ;=} =?T| ?/@} 0@dDt pDxF} FH} HK| KL0} LO OQ} QST| SeT} pTzV} VUY `Yj[} p[L]0} P]]} ]_} _o`} p`zb} be egT| ggHX g.h .h4h́ @hhTW hh`V hi`V ii܁ ii iakW pk?l| @lnL noh op pErW PrsW st`V tQt`V `t:vT| `vv`V v7wPX @ww`V wy} yy`V y1z`V Pz*|T| 0|8~} @~~} ~J JZ Z,0 0W } 2W @P} W } Ў@ Џ@ АT| <~ H v} \0} pHX =P =Cd PSW `_d `TW HX P HX } TW ǬHX } } T`V ``V Ա`V v} `V T| Դ`V 0} `V D`V P5 5ջ ջȀ } D`V P`V | T`V `} } 0} } tP} L ؀ $`V @t`V } U$} `<~ QHX `/| 0TW } HX jT| } 4`V @HX `V } `V `V } zT| ZT| `h} `V ?} @t`V p} x} } :} @J} P( kHX kt } HX H Hg g Ă TW (`V 0sHX sԂ & 0} d B| PTW ?} @{~ HX J Ji( i( < !TW 0HX HX L d d x } 8} 8y} y} HX j  j        } ~ } &} 0sHX să ܃ 9܃ 9? PHX   ' '-, 0 0} SHX S< T 2T 28h @#d| `##HX #\$ \${$ {$$ $$ $U%TW `%+(~ 0(:*} @**} *+`V +-} --} -_.} `.:0T| @033~ @3M5} P5Z7} `77} 79} 9;} <<} <<`V <>} >l?} p?zA} AC D)FT| 0FCG@^ PGH`Z HK ~ K L^ LLTW LL`V MMHX M7NHX 7NbN bNhN pNJPT| PP*RT| 0RCRPX CRR RS( S7S< `SS`V SU} UPV`V PVV VWW WWL WyW` yWWx WYT| Y], ]_} _aT| ac} ceT| eh( hi} ij} jl} l*n} 0n:p} @pHr} Prr} rt} tBu`V Puu`V uu`V uw wZx Zxx xx`V xx`V xy`V yIy`V Pyyy`V yAz`V Pzyz`V zz`V zM{`V P{y{`V {A}$} P}y}`V }}`V }}`V }M~`V P~y~`V ~~`V ~~`V ~ `V }`V `V `V } ق`V  `V }`V `V ك`V  `V 9`V @`V ل`V  `V `V  `V }`V `V 9`V p`V  `V 3`V @`V Ɉ`V Ј`V #`V @J} PTV TV 4TV @TV TV DTV P  ~ TV VTV `TV TV \TV `j} pϙ ~ ЙT| HX E`V PHX a ʝ ʝ&̅ 0`V  ~ ~~$ ``V _$~ `j} pJT| PW OHX PW } ψHX ЈC`V PHX ؆ <~ }  } TV >\~ @J} P} ʝ} Н"TV 0LTW P} ʣ} } Щ Щ ǭ( Э2} @} ( P] h\ ] >4>`V 4>W>p] W>>] >,?] 0?+@`V 0@(A`V BBpZ `FpGTV pG H@W HHTW HIdW JMJV MJJV JJV JJV JJV JKV KK W KZKxZ ZKKZ KYLZ YLLZ L`MHV `M8N@W @N8O [ 8OO4[ OQQH[ `QQY QaRZ aRuRZ RSHZ SUxW UU U~V ~VW WW WX] XX ] XY4] YYW YA[p P[ \`V \1\PX 1\]\] ]\\] \\^ \^](^ ]]`V ]]h[ ]]p[ ]^[ ^%_[ %_>_[ >_t_[ t__[ __4x >DLx D]Hx `H*Jv 0J\J w \J`J w `JXK4w XK[Xw [[pw [[w [e\w p\\w \]hw ]h~hw ~hhw h9i x @ikhx kno n*qn 0qYuo `uuo ug}o g}}p }}(p }Go P8d o n o o ˔Tp ˔|p p o r { t ,t Tt ;lt ;gt g̦t Цªt Ъ q 4q \q Apq P~q ~q q q <q <q  q кɿp пDn GXn Gcn cn zn n ,n | f Hy \y y y y 8d v8d 68d @ah ah # i #q8i qLi f ?\i ?Zi `.h 0{h |g 5h 5Z;`h `;t;y t;(?y (?A? z A?Z? z `?B0z BDHz DD\z DDhz DH|z HIz I5Iz 5IOIz OIlIz pIM4| M|O$` O8Q8d @QTQ0g TQUS @`V   +  , T 4 T  TW  HX  d  l   x  `V +`V ,e`V h`V `V `V `V T@W T`V `V `V _HX ` HX EHX \ W  W $ PRЊ pv؊ v؉ ؉ ؉ \  PX`hp@ $ȩЩة P (@HТ  (@HpxȠؠ (@H`hСء08HPXpxȢ08PXpxУأ (@H`hȤ (@H`hxȥ (@HX`hȦ (8@H`hxȧا (8@HX`hxȨ08HX`pЩة (8HP`pxȪ(8HXhxȫث(08PXȬج0@HX`hȭ (@H`hȮ (8xȯد (8PhpxРؠ(hxȡء(8HXhxȢآ(8HXhxȣأ0HXhxȤФؤ(8PhpxХإ08PXȦئ(08pxȧا8@`h(8HXpЩة8HXhxЪت(08HPXhpxȫЫث(PXhxȬЬ(8HXhxЭPXhx(8HXhȯЯد 08PXР8HXhxء(8H`xȢ (xȣأ(8HXhxФؤPXhx(8HXpȦئ(8HXhx(8HXhxȨب(08PXhpxЩة (pxȪت(8HXhxȫث0HXhxȬج08Phpx(8PhȮ(8H`xȯ (8H`xȠ(0PXȡء 8@H`hȢآ0HPXȣأ (8@H`hxȤ (8HP`px(8HXhȦ(8HXhxȧا(8HXhxȨب@H`hxةXhxЪ08PXpxЫث(8H`xȬ (@H(8HXhxخ@Hȯد  8@H`h(8HXhȡء(@H`xȢآ (HXhxȣأ0HXhxȤФؤ 8HXhxХإ08HPhpxȦ(8Phpxا(08Xhxب 8@HX`hxة(8H`xȪت(08XhxȫЫث08PXhpxЬج(08PXpxЭح08PXhpxȮЮخ0PX (08@PXhxؠ(8HXhСء (@H`hТآ08PXhpxȣ (@H`hȤؤ8PXxȥإ (0HPXpxȦЦ 8@`hا(08PX`xȨШ Hp08HPXhpxȪ (8@H`hxȫث(8H`x