From 27494503aa58bdd3a5e6f14b75e2429458a97446 Mon Sep 17 00:00:00 2001 From: sarthakshukla19 Date: Sun, 22 Dec 2024 22:57:00 +0530 Subject: [PATCH 1/5] Add files via upload --- .../Assignment 2/ENB2012_data.xlsx | Bin 0 -> 76189 bytes .../Assignment 2/sarthakshukla_iitpatna.ipynb | 560 ++++++++++++++++++ 2 files changed, 560 insertions(+) create mode 100644 NON IITK/Assignments/Assignment 2/ENB2012_data.xlsx create mode 100644 NON IITK/Assignments/Assignment 2/sarthakshukla_iitpatna.ipynb diff --git a/NON IITK/Assignments/Assignment 2/ENB2012_data.xlsx b/NON IITK/Assignments/Assignment 2/ENB2012_data.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..96632aae115491022718a922f7c9580ed13c025c GIT binary patch literal 76189 zcmeFXbyS;Q*EWbt34s=Or~t(&6bTM3THK*Xa0@QMB}iMeXp2*dySo>6m*DR1I_d9u zX4W^)`_5Xk=Fe~5tdl!(pL3u4T>IL4U;89Va;Rv8NEk?1NJvO@NI7vgKLe4GkO(o5 zkO+_#kaZ>OY@JPQoek97?MkI0kvM+b`Ja|&0UcX z%^H71v-0y_@Hz8WOON1joQSf#fS&>gADd&8l=8-;xhXwlVms}U%o)}o+8-#eERy9r zX%9oOY&I*)`qdhT^*yd$imPZ8v};Ru0+qs~rZszQwvb=xLpX`}zxzhLsGyV$Dmyd0 z>2D8Gc`g#1b*Bgj?HqB+m4^Pj!kT(r*z)9G41)r$@t@W?NiAw*`U*A zj-M}ynRqpxXm{#5+fCB-s@cduk~E^01IW27Ml=Af;J5f?oP>_Cjb%HA+#d*tw$5KoeZv3>!Nn%jq_vX#vaOCZ+9U^QqO$9ooX(PWwQK3n}C<3^i+SE z*wmZCb;@2R{FRR`1}@0<>1)Jc!>OISVKK_~+Y_1c#%tGyhy|VmV_q(j<$Hh1OZ%$& zjPK>b<5Fn|GCe(^A}RgfJhDoiE}KxoIey}tJr8OeEA$vOH%f?<`S9`)ueR%KR!4xI6tuSr-CMmtqK zmQs;xC>kK);9KL{q2P4?A^YO>uWxVAgJ+L^{~j|edFwz8NuFRkPc$YY-*IuD!tE23 zuX%Sr>1UMvHX<&-zL1Aj0Twy*WZh72E9d2~VICP@qSa$ZGGv0!|7~}KmidRy>+W9q zuYYJuI@WoEdlL-HDLPE#INkF->^aI>=h=N1df_Fbv|3U_~S%TH+z7fnd=8%AGKkQH6F6LT}y^n#AUQ zEpU2Z_@CVGB*uVtC+#CGiD@>7!}0USV38G=uV2ghLJvNH`~bCwo!#&be-4FWb-fQD~?D8xqdDUu=Hh>anz2U$B+(_pPyE`ekY++ibQEC z&1ZTg^pB02B+H-9P|| z$at)tYsnk3IqO+Y_9^p1er+kv1f@DVrG@ANaVv2Ck4p^FgW?16V7BT zD$grg&AP}PzaZ$)*@o%?NA{?COFU8X{M7o_8Xo4+@Yx6W*4`skOC-KQ3DE0Xc4_si zuR$r_O0#dM+7)QEXz2Fsq>s=7E}oBB|EYeaTC4&n*C*#^AurG6AAOYTB|+HWzvi@( z1>w_pgu>LL_^UGiv68ceDa4fhpCjjAFW=Wzw4?Y)*z)RxO48HLn8B4?$|ZlM47<`Y zbB1--p^^GXfvce+k&NL2x5{2zT%2$M=LIh?S7}1_bHFvmP6!sE*!No^C|5E;T+K4JOU@YaU7h4xZD!jZD(NFzS?eeR&hrB{tqLd!(;*5~apRZPaBv zc257nLvw1;XYZZ9I^9>SfQz!vo$~BzOxk){QNjRY_wNj^gX^A?Jl8m83JA(*y%Xg% z!U>J*I~5PK+|MAD61_ZLS;_2xbsUXW;NkgtTt2VoBv(#@T9YLKQT5BBJzC9w<@}6t zh9C>f7g+@+_wW!{;8kQ}Qigc7C>}E5ak3D7;%@qOCXr9ust4W}0MAp7P1vGo+ zm3?+P!61A`el(O`CDE`D>j5NlsMdaFfP5|cCP+~kAJ^U4lK2&MfqNP8ioj=Q2`1ubF;7X1L%0O&-JMVJ=~AcngpR< z&PO|=O*9dQOCt4GDOnpV^M4$aK3}iyDL!4FqMqNyl;{gyH&U{PUK=z&TyN2cFk^~i z$iMM;>|8TQ6ZUyLj#+AUS3)r$fhq-FS$=q3uW&gEj1=WHCe?I&hi|SsipS}qv5aq# z5OtV4f~=ors1a=ad>UGVMi}{SSzt{dqOeIRjEHr`>wOsIGVxYn=f^zcVk>=goU3jJ zrJ>JZp|w`6W;8Z$NJff)!A~Z5G5?hx#fPX+7Cqyg;dVv2qv4Z{~#= zNfgm1ed+M$8%9g8x)!~O-OKxz#jl8djyzZybe|ZyEY=_1>ZKFG=1K zF0f|0<2vbousvRI{gU|`0MB&L`qRwpM)!epZZjXy+_?Z4JzB=39Co>4m8En``;28f z*81F%oYupPrII~EN#KI_*NFj3gqxbkAi)vPwQx=SLhc)z!_ zco4A zlgx{+fE=(n708Arc7&p#AKX!IhHFkR(4z!juxtCZEldC+=I@3xvmf+qZI>FYGU z^e#K3qhXM@L+jRohP^nhp9rThL!N(eBRf+n!ueA^Ua@JmhtMe|{TVOO)FIb10Tm1UE$8OU`dEi7$B5WV0YeeS@qv7-HK30b zpQ`O+y6XU&MYPo08cYq!hx_?IVnrC#zk%;XR6iau*z1*YPf#DPC}V`(l~$|t-kl|W|FGJ zY18y(>(au_j0r~8JjjMTap1A;%bSLLJ-c{wPdnx3LY$BaD{T#=igt|=>G4ORk9=zy z*3463U7;7B_>NZ#yEuOEe!%{GOZ$L%DZ=DsCZe#7TQ%&KUj6cVD*db2jHsGHX*lK> z`WO(H?obZn`N93xdalxCOrxJ?&*{+Fsku9>=#4;l%do|MBfrxue;qWnOM!KNW-emz z{d?#o^jrG~qd*U7_m3mpPCP{~drZnEWX*fy?BCe**M+Y+DpQ4GFr)6{Gqvk48UEWe zCIERS*M>MFju0HL{*}i5iVY_VQ&VTBe=FC2KKzr>{?V<0k!{})0_5Wr>Z1hIGiE9X zAfd|pvQ~Wy)#!E(1D+6dMfl)ZL225$v0*>F!IN|+m`7m-{LV5_j}o+QOkz=b>^aBU zB38z?J5PwsDi{SGXKPMGRZx)q+8w1ugi{uz{Q7~k!{^UzSp;@ol*FrRszK8YY7;sRBsQ*{d!&sT&s1oQfjDVyNc$hh#`BMaevI= z>zL^$e3@^nKYxeao_2eT(7&dldKG#nQ)URLa zgG11JvJ;yhIG~?e%s8`Wo*zi9<`ra6W}Qa53S>dQ{*ovH#vANhf61od)2tS3up=yJ zq*jX@X1eTR04tlzYtQ?Csqjhs*?wM+R`$xwk%4k^){|g}bu&kI6!D`KQ|4{CuX(!N*y8o| zeRvoTiEQz?aGkS3sF8<@yGRkQ>kD>+rU!$kn`@E7rRJOSn}-sS#;2RLk`lz%TYEV* zPnQ?IPj&{6Yimco59i~1dt1EaK?Wk;7neE1X})*kBnDo$k2%u@i@tMS_Xii6%0Bnk zckD+Z{ZCg{EnX)(HA@CdPaK#Jr)MM$2bb5Kh*S5s8a2l`OHXkSultj3yrmYOyOXwMBGZ{u~}8T`l=O9$!uSlE5|Xp6*Z1wjx`&y|b^hA9uQ!L>^nF z4Ys_0h~yvW!|4-UUe%A9&u-^D3D5-G=j`8;^e=WlUA}TpmU+56vh#sHoID_Axfc<6 zT)VmGFz~Tz@SJXMdAhEEZajIP^@qgo)!6yCKN%P_#i2c|b>OA>M*Gg%xn8-AFF3eO zyWXXV^bdXAyKC`|hTVv4ma*>e3{~Uav^0k=n1O7-IOSz=@}E>3&U`ALNNv}BTAH7W z{Kzv^ygF~J6M$T)3dD=F_}t!Gxa-1+kc%5$KCLvogD8w&Hj0d9UW@-6a=*EJ*t#*V<4xgQTXdb&M!VB_i4 zfp7Cd3JjWvYVNI>&s%((?oLBnFW5{Dwd#Fekb`waCXx|^0LXuXE>|&4P{zQ3+z|N~CWr4PUTVPd+qG?$|mdxbEZ!XOg>) zn=LT|pnYWh&}!eu-GeCeShC?<%~a(q!A!a{wZYPJSfXN64(X35Aqm82`Uv;@6`o<# zt=UKSp#SI!&F=I4=8rwgg+_m3wE825-1aP%hkUO>*(QOuN%)-lz&m}m#lw2*(*Y{e zQDrfi1&7)gt?I;bPocaGFO%;RD5Xr1X>9y~428>@h(U;P3TMJztwWYQ%G$u>;1gUV zWKQq))T>YE!^L4Od(r#dyB*=ZB}wnOgYrkc2`xAf>fz?C0nK7jy*D^+<|P@Up@>i+_R?ZSPxM)vHjySl^{zss^x z+B>`tso|?Sc96>v-Gszx;q?3(jWMj&R%w`j28M(gITcDvq}UoL{4JlPlTsEgIaS{fA79)ar~btvwj*CtE;$$z8>Fb9dm2`bG2 z^1Get4ZKmv_F~!6gUc75bH5uJNw~HvsX|~pnks!DgX;sEEJ_z~{=PuRSnLf(l0GJ& z&Y_o}oC|HXIRR^>QZ+7n>@a!-i1MtGKPSbrOp!Jj?kol>8yqnna#*BG&iuqD_0vAW z5fm#0uMlJIdKgM}X?Qi1&6a$1W821an0%EaK_0bHHa)M6y~X2#HdF&T|E>CM>2V6A zxsc=xVMvbw_$jC$dGz|{HGW)c-l7z>$a7I|l3TL7ggf2S*zQ}Utqa{%)+u`48Ugd3 zE(P&GpOSRNCF6yQ&jxy_MduS3g!7LoKSik44SO?qE{$0OUA;eGX5i^ccb{8~YIIpX zrGBd7BJme8w#X=W>6d8mu{I?$y0W8w8X5qRxcD$h;CT_aA62)J}cNKTUl03fEYoMW@Y&yQe?iQH13aOM@`lVplaXCIk!|E|H@!nPGoGHTA z`qSjErC#GCHA~Gq3+CGgOQ*R`YumYTl8P9vba^E}qk@L@jECeZm;BQdL(VMn ziLB}yeBQ-nc8!G1O`>0LrX*`R@mb#(z2(;*5YwvJVT!#d>S`Xh9H8(V^xs{akxMIs zj>`aPQ`eEsqfu4eRlB_vc_W*R8}pK^|0X>0CG+gLW6dJwQ zw|2d|P4|u5TkrvDVH^&=6^TH8fF_?-gt{5>ed@NkCI;-&k&wz#8xqU2-e8NXR*588 zh`E;h7@WLH7#f*@xNUWxCE#KTR7kUbbND!hsp$E6p_NY>N0pIQ| zCpXwTo|?3HP^PK2US)@TDFctWN#5xB?K1LhQW8W;sy^!`p*pjk*LTXTRcss?n22W| z8~6iMifhtVrE}F zZbt48Q6)yjfx$P`p7HFW*~DUNMUl-|&>E^!S8b9ej|d&na_5m~l9b-G#gkDM6524p zh~U||NSB)nH41uisE0{az>Ip{<++!l3_Z%`18rjINx~K_`M^2$K;rFuox3=;?-396 zsxX%&nf$t|=YGvJVF_m~>~7MhzvwT!F-JDu56z1%`Geh9mPmarYp+gy4xaZd z4Er17TB~pc=0DdGFU+Rib`s5Ib2@+v#;1NjCf>p=(rwyWXCzU<1*hpmN5=NQu54Dn z6hUTY4nIC_xk&)fm86ALvXo<>ipzSjmDiK>i*%=CieLCUWSn=X z6u4-GeHc6`#fr5@bp)ao$kzFqHtxdaaM#jP*pE~VGvqDNw@4?lZHti(Oll zl%GOW=FkrqOqADq#7BMOs>>6Lbwpin?#R2opKbNykA&i%1f>L$O?eYFm zO*>Itgv4TqOi3y0514oeL}_=Kc1C`yi8K;9^mNuuQ3A(xq4dJYl7!T|%EGSm0JAt0 zwXSBA-u_C%%g@r%X@A9o8F2gdiE*8(=i*K?>g~++Nnio4i3eGKO?&CZhr`)FVid0G z{o1L`v7TTjs93+e-qD0~wfw8FLWQ?-uh>j76?!CpMuoq7LxCGu*axHc`qCD}5=ehx zl<{cvTX0$y)91Yug8&M=iwJ`!LQz+xT$#Zz^HZzj&wy|Y6pamKOazn*XUO6)9u6*V zXC1k0B7i)N8h&r!**`@u%?PG;%jgcZ@^Vem8)lnwNwOm~O!4gUQ#W8Xv{!0fPWNjQLn;uqTFeI`NmwA;?4n%b z)3Aix%OYNHi+(*Mo79B>~b}Q$L&d+sV$fyvG<@6h5 z%t1UpX`fFmNd|MDBH7c%#MXhRWpBi?skc}YF5RmjONte2EhgAYr0v-Dm=&2O9}HkS z>rZEEcJDIT6fezu)86*Kq)s2FIoi9zPOQ64$6mdOyjsKXSV}&7v{-?~11Xj^ch<>Z z z!dfPv$BiD~O&m@edU3wB{p9FM@Ri$hTZ(LydEJ^-H;~s&5wyr+@<1b51rxIk2-*V1 zqb#cVu-jr93P|@zIMdnXFG^LWes6AQn7fSBxb7a@mYZ$hfuNtt4f{Q3ZKTR3Y3Cof zd#|g54A^%dAe~|UYRKpemj0Bm!+`b1p02i4eX{?yarSa6b1G^QY}&L08S=&~Erief zS>ENVItMgLip+ofiMV6LS{dgp812<5->;L(E{ogy7g&WP`TBZR!LCvrB3ed1)|JEZ+r!`e4eqwwO0}a(2w<#wIAdFbmQge(fxLnkRekDGAr!Ve__h>5DDz3U+EO`L zbX(svX74z)>DGaigaUkwZuW%7*+BAle_ov8>-8jA;okUEu;OY{O+{UWto*WZgKT53 zCj=LEL?yWR;GTdZbU}_c?jk+wjwChuzI14#=!IQ6AFnj{66Og4UlikiuFc;iVofM> zbSeZMb)I4geD^J*%4KGmuL6gBpQ5w)1lo0Z6Y5@(iX{$`Bp6d>`;A!SCaJ8nggsr6 z6@#}zL;+R8RYb%6^-d>%=$sQ5rayMpBJj5Nvq$zdk_S4j5S9S01 z8m71O+m6OiEizt;OB>UN+%1-^WF_(|vv1P2Fp5;Sg;d5Pf@le(Uxh9kekO8B;Nx7n z_Zo!dL;*ji`wTALP5-%8jqL=lRu~Ve%j1ddffcFEXu^HiAH3(fLiu+iZ8zT1NflQ_ zi#QhbK;l&>3HkXL9qsYg(@ECzf%UgupZn)H(CQ$be)AI>$kK;zG~vy!5`qYxIWAy` zEpF0kY=CIOzrzEo0x16u#c~|Maa5OjpfbXC9LMaDKTuC?W^C+BFe&16Tkj6|Oois2 zl!kJegsZ>B+QMEkX?ONxaerhN6H^|YPnt=TJ&(g>WSuVlH_9)9u26hizja>ivo#TI z=-VaX#E!I>9)hFFa1y6d`laB!sL+jS$q*Lyr(>M4oAMJ{8lI!LIN#>S7KtVw#W2tc zE}Xqlo$5XG%bP}dn%L$%om)@sM9{*R9%QNL98XnS?WB|P_c=TT7uPd- z1B!@2*Qs^u4&)RQWant~5jo;dRNRO=*7n<;NM@H(twPHB-4Q7c`Jocx9OsJ7x4-5@ z(h#bNX?dK(U9))4`b0T`IaeNtwQU1N=O{Heh4~AiqDm+PeT6OJWxOXKP38jUhgTi^ zgxWrA9upX`p9vpn9MhgoY*s?q=5-XoK&^g%ppPqC)CQp;DmSJB4makgl4JVnasU#I zf+JGf8_fJm%0dIY{R%<4kd;009G;qo49e~FEya;tcYGHQ>JO-cV%#H?A0&GHzrk=i zylR^QUTpk3>UjcXrQS((Q>Ts@@6^;W8`0eBpStRfA=}mo|K>VdF_Bp9<3}iKeEX3w zzs%o%)O_Mvg1$Ty^B{POfZYS^sl%vk{l!8mG@B z9PWjeKCMn6S}cc^{>i5sHTbqYsyDMa@-B5o(AZvuJzJ-#KPlr*O;6KFtEu0h^ck;s zPqn;tSdoH*akVmoP3EVWfPsGr$lSDULzNo*&olXRvlxyZZsYnUdo}0nJonP%v(>#} zWs_ea13bHdkXUTpC^EPOt&KYM#SZDG8F71Xft9)Lo(5Hh?Og||34AlZ^>XUK!;?!n zy1H_0jM=8J!Zn$uucZR&yRA?BMi$foOcSj|=;|(f`Bn*MWV?KxwJDC%b(1^0!CIn= zbds9qEcON-Wf5j_@;O3KzKC}G(8SPGbKWqNxqRG@$h zK=_f15YrwH31=gSJ^Vy6Wi=e*8wmhl$Bo~}6sh9~poh}cE~{6q9UO-hlP4e237hyA zJER56l`P&Yb)2q*2TF^q_jezO2{Zn0N)q< zp>UQ;wUTBy{Lxj~=Z#leamDyp?0BkB5A$%5rS5pve4AKXChR*VrkEYbZlE?YQ0PO> zt48Sg*pH5*Y(R6Dr*Zrob(`Ipx?hWEgv8H#GggLP!4c+O%mSj#Fwv? za9**^zcAV%anI)wZXyZcL~5(yr1vwh(&p0&1!PQ0K@(qzz7cJ7Enf}Y_?i10* z9Bl|GP?C>qmtzi{96gDc+G?;Hf3_AXp`!iVIN}U$(Z_4+cN&h-hmalyaZ(U|41#9- z&)4~LHRj@p99pH$8Ljw7;xVQxXdDF}mC1pJ(Ig zaD5=S#Mhfis;}JivaFwb?qMAt()+-Wi1Y+_W!SRt<7vS79$BNjQ0@?S^=)Hc1+rSH7JcF})nx}x{o0Dmp{S{`q>=E$) zt17_rc(+dh{x|j>%1>6hM;0C9W*^|eWWgFC$((b!1eMD47MY($B~ir?^&M53F^3oe ziK2X}gN#yjDRYWPmDlBv7$rl`0-7`zN1a=Tx8{=%WgoR;{;bL~OwgqoVPdY>f{r?` zZ_orkkQ`_0u*dTzMz2}Huk=|Se&t}a)yOdTCxmWqJB(^$zIrgU9Q7_ZL%(i2j|-w4 zX(N6nifL-M_On_4;|xNnPU6eYBn=t(oi>e=Sev}{J8ci)Z`|HsP;3Hy_fB#}xy#br zBjgUYQH`b+)(u|)0H2Xj629ZZGMSVT(p9(nmM5GB!Tc)(mmY@rmbQOpa#1f>RXPOI zO>vrs&0u5^{aH@`(kAvC2BX#Ro@h{~dKtVNFe6<5>JX3PT>rK(A_BTZrPT$=)+U7$ z!Oo+~iMu+whaFhMDh4&`Vo-q5gp(WW_Eo%l9t(pLsi$JE4~MgL zomJSWA>rOFv)LG)7uR<;<2ff4+fEcg;u`Urzg|Ua%4>@oMw}(tR|g=G?xNC1?c5?S zOEX+%e$AW;7f3r6D#0+gcXHzbX$#R7;u^jwNlK_;-n!b{sOn4AXSv}4aMprehyRC^ zjnHugyh-?orQqVuU%<3CJ+!_4DAMy+(J)~u z#}5a6oCG7y+0X|cg49iZ^D3>f{=I2%)99bN!B4RjKvm-*<*npQm{SCBh#$mcu8tY* zIoD;_Mb>UDRIr~sywNSA`GjW2bW9>cu*D;!JOt7R=a)+PS9iXx?c8K_DxM?K0X_-n zMq#;Ayhrh%E^CStREXWd7FA=}tHFKm!)D|sD-q>|`j?7GT2PGEc2%VKMAR6mL5g46 zFKC8vSr*WK>ZB!P@#;v63)5eocWEARw7jL7Q2wSPKeKv%do zn7nao>#o3UoEX4DV`zwtEHU_{H`5kxl;sV+f$Fbvx4VXRU6o(Nc2}y+w9=9jVm@!* zj$>z=Sl(8Ymal%5WZTm%CBljh(ziV@-gg&hiwq7}T30^nwg_0ly)A59=A9kJa?fh| zBx{Ck{-Iv9kuT&Hwj!f~V*a7K`8yhr@EEONc(%Y4OzNt2(#&AmZjCWriClxR)Z`faF4soYAwca^*C-c!TjlbO@1mUV;)$ji?9FuluMk|RkBC+?Mfv7jCUT`Xd1>-AEf##bNZ(( zdJ}mg-Scxp!|k@#5m?4AO?N1(pGEK@;MF;kz%625dJ){95TgTV0yKA5xu~yGmdZz~ zriVLo@gM;>?zP@uN4^iUKmYx4_EWCYduwGw!y9DOemv3_DczRu+@0P1EaGXtlq6ur z9h{aXhyV?aeoh!Agme@aF2BtQ*4f_37UqQTt(CXkj?TV#O1-?n}hX+EC-BZv#ZFmyM{@Q$GQ!RV1FxsjI{u{kDRj2K`h-3V?NGh(+MMeZAyItWpz zE`b~4;-=L~HG8i|FfQ*smRq9esa_`F$kpFKe{4oZdm1#9MxlR;4q}iM>8ft$LXY=Z zcVeSXz$5#tZ_nGi(TPiL;FOhim_Wj>jS=3fKm|`0Nr`4)^cMeAX9Y8=EoQlD7D%B@ zAdc%(9FdaH+ef*mpZhr0tJpW9Y>?-e;^xaQvI=~+nSXX18UnwelVgv)id`_u2`p^F z*D#m<0biEl-1|@)z)w!Pnaeeht~xN<#!(<#5A2b5YY;nsl?%aYx3(;xW<2;1r4X2rP>_I$`jW0bY9z(y?7NxhTq(W7KYYb>9C@~D9XzDwH%JA z{If&mL4jbd3G0=yM)kvu)F8{+ET>UH*E!!ld&=>B}vGC0PGDVM*=gO5JI>v^Tmz<9KP)~RG5mEAx=e}d8UZ0 zr3D<|*j>dRjz&-wn<<1XwK*}`Lo?Lvq=R1YNY342O{GWTXcZ*IdZC}HCG))UcV0&E zFsHvl^9V)?EF!IyuRwSo!81FXsHFq;<&=a^_qO@uL9g(FP z-4lY$qy68AcJsA}nAa>_)3Kmehl{OsLE}-s9G#oBl89i~&ATP#&HKQmplk8y78r^p zKuEIe+o<5U7O?)@&HfSlR05F&J=Y9{iA~%W6L9~B*Ek}0&iIvhM%sS-+{#|EG;QUE zG#t>F0pP?inmcYDH)X~3Pui9~8t>=M76j_j5?e)?@hxRiPS} zpIs@(q7~_d8yu%a{KCP$c-MSM&W9-e*L0Dw05|ovgjd z7or4pY1ouvC>yV40J#(^H^?}{cv@OM6SO6fl}XLQjRWVuuS5m+gzyarOipz2PY*VE z7BmbVUaeRDv=i89bFcYbV4qZ}5-tv8b4%kqy9gW0pa}R7BCzdeO=ujRLiLp;rC+^@nJ*FJ>}+*RdaD0{Voo zH`sA&J1c0d%g>t-Q#BLGcYh}bowZ5OzAXT_cOrx zE6zNIcX=?eyNi7cpHG5tu1Q;sVW=r<%y+$Hy~{O5w|v`?>uB_thtIX_A{q6!z_~hF zkqa_&|FE8dgdl+ws*O962EMfw8RFK~3MArG^il*eS!QAzqo&AiG08Y)%O@lvpN8Ar zE9Bi{S+=R6#3liIae-7a)hYsGbDi$M>)iucV&__J)L|4YC~<3h1wx{u$4N~Gc~O2{ zIWq|c6FZ-+CLXn#Kr(%HstPI~Z55>pHg|ezec}`+k3BA8Q%J}5XQcn;67O;F z4Fsb5eDtE6GDzyp#aI#VK3t@H(zb{(=xIOA6+eWT&w1|441p{K(7GKO3yjk@{3-;4Z^)f3l#}+2X#6oaHQ5J%^ zpXub(ydPOc^lcS|`TJu?fIj6}#7QXze9{MIXmJ0z(n)5P5iOV(3yC8%5B1Xs^^fl) zz6&>4o!=~Nbw4DwzPfM&)v`V$5rX(geK|ND4Gr(xlx_+HZ5HqcpHZzc`^Gi7$YtcP z7Y4QHG`ghmWY+B#<68Rr9?e_c7VK3GWb{7(^b%26@5QmxI<#OJ~K6!Pk8{ zrX?=!`#)LQby)THt{jTG)b=4Gze-(DbZv35ZS3u53|C6q+6`eD?T9gLbct>Hp$T2T z$~)q(3Or{$jFm$>gu^vSgtE0=^7gg0b~O%V#tybR0)fvcSP6M_uxz*qXXqpA`6LNu zNYnZ*S21@=O&33T+Pj2y#Anst3cb|0EDM*u&kg^v4at2*}nRH z^ezJkl%xWLfk;VRIMjBT@RImHRGbE1>nt(}xKsy*b4SH%p|YBb4%_4(^1MbLs`0E- zQ155uU%>-*(E!3kND*dLdt}19Zafw}O6~fegp+Nd^+<6x_;@3yKl(G?R?1@@XNe>Pu(ZCN^`e;TTA&8_NzK z`B4@7@FUn|JC?bwK)EFi%W;ruakBC)Q!;i+Q-r4Vep}ltET{q##~d%dPv3Ot&=Mrh zU2sL*LeTBFwURUNl;QaAK%*x93*4@x957x)kZhWnr#D@B;3hGD8Fx8|YMjNVn4{Jr5mqEBdjTuA3 z(os$xnww%TXY-3oHIXN)~KG zLm5$2`M;5Wf@636hNCb1HyI0J6N1++rO_qfv8aMUjCHCvt0B;!F8g(*1M};Q8j_R_ zkItNh*l(DadV9#M&P5?68LcZYQv3G+IRBrD{E+KspEvX`a-2`%i8F~yZsTf<6d=EU zwYp5{paOwFN)}2!9Y*_7j%6#-OXn}x>>h@Vli0BXsDy{T5o?7x%{6`wNMSMk}qi`lsgFrU~~Xe@g-6v6Gc zO6sEo{a{XOqFU9arfq(eT%hyJU}JI4Q`vK&Ak*#g&Q`|VLP86n z$o4Jk3z)@{Tg5b1MNx08KxB;8*Z5sJxE;m7ld$)HG^dz62RjJ#LW<(`&q92AwbXTisZY|YknN? z>-^GDF~dy%Rs{?U3RbjgGRXzXHEf$O_Be>6UsI)(F(hKhV5ytKdR+ggd8y3t`t|F81MdBp4jR zrHLF%olmvDT%;=GhhS4V%K$4!>~coMX;9OHPJ(;OecgFFpt1seR@AH3g9Y=}kHx;K zD~*$@AK4|8yMq?)o5K|eYlqbPg>K92z>oOI|F)bK-@h#9;yka6;e{Y2=A1tRp{ASj zVx~ac9gm>$JV?E01p~7impFogg_2i`)b>5V6ZD5`9^YV3cO&ACO*^ng2Xtir?Dws0 zhbod!L*8EHWRiz$^@I=~^kr*10WxtaR%z*nT=2{cUFsW@RRYsI&p1zGk!(5GYjM`a znT@1|=D64|JZeE7&WDP}HA?P%)^@@%C{5}jJUOC{@<&_2YdojJanua(V0G_(HqsEHt>U;jfux9jY`_xY>Tpm7B8xD>c!{xuZrT{!MOqYsqw?!ng zXcXNIpg?2iM(N}j7%ySD)-F@k&$}UQuW<6t9m2kBD1(HGNE6T(t?kk2!C>|fXgu1N z5*ejgPyRcK5-uHgDj8o!k=|R4hvpZ|kAjJ^=3<9q4^1Wa0_A^=c!F6u(n&KS?w=Wi z#M_aZW-N#tae`jktAEjO4Xjsh(r(<{V1ESo*WA2SdvH7vgzwj&P*PIz{k59?vLU#2 zl4Ezrhw<^6alu+p@vjU@Ks}C)DbNKSALr<+2Gt;cLz(WiDr#?Q^M?ifbvqz2#%J8j zW}oV7PWvy4+~~D^R8XHp*4D`}e>`6?Z`)T|NQ<`~cb;Z9Zu`8`X+L=@>mLCiXn+mv z#1@aBnBfXG3XWV9x#ZsPazr^X+R1yd%bV)Qu>0rJCg0KWI;YdV-(7)mtX^qKE7^&G zLRsDTU9>~E__oV|7IedHBdrN8qKY(aTdsF}KLu^BOB2GX$**@_=fL_-1xjwDCQgf# zTfpbRCGpKe19iN06TWkwKU(g!R!LG&Ci7^KLO1{xu$(cCpKg0OJAlzJo;pW zjJecLhq8H&Wg!rG*_CcWEw)ZA_f2?RVfM7+n>q5V|eKAxAm#8T|m$L9hvjOPp0 zxb7JvcJJMAu?&7qvCMqV(~C4m#9AD~6>TKB!GJ#4rhY`G8S?5G_VUT%{O|@tMl||D z0Poe==KP&+pLkM(IB{d$Q8g%vwJKWmA&SzaDA**IWXvR21RxjuOy|mBWLnkvfZLWd zzQJ~}UvJ7vx(ZIA{o5&x9bol)Tu|2~o401{UH|f75ZEm_ckJ3X}s_yByEzT%_ z`wzpnF-!%P}w}*yaH#kAPH*{4p?5aWOE+0f;M%frSsNna;iu zj^Gc9mUQA+#8I7>J!15-QaRWDlu3tA5Q;9@E`!Wi-L`&b`N7^G0a%a``_@Pj@_v0C zi@2jK$oK}#dZtGUIfFbYpHy}b{~%`N-F!g#{$j+eD9UfK0rKU{yvfu*c!8MG#y{9( zB|&!P84Nf0neGPoDcAyoVwKq@u4!)LI}wnvU59G1887L$$;D`)>rJ1|R_+ETI~W)E ze-^78YEw*jx(LBFg>Rr;uwS^*TvDnLQW2l!8tk&L`L=HkqbjZ*1JnGU@;2-}DU)?v zh#uuHvb`$k&MK3DwfpB}+n}t{$<S$eDo@Lf9*=f_c@6sC3h!@ zZ~EeVH@{bRaP`M&HB~#umQz~)=a(^Wrk-VDem)RRdz5dq@kxD%K)6prEx=}OJ_=Im zdiEtlE|o6*j%>@w{+p7$?OLs^qqbJL#<7nAb)vrG_a#1T^KWfVa(6jec&EHNC8l>= zQYoKSEGZ&A9~~rDopj)OMATp-`*b#FJEfiX^AQpj_k-n6$d1L!KhoP^aHOhD43?LT z`ckW{!B`Q2?a0(|ArR)ssQ#)XQ^l9&INH8+9;!_JtE-S8_ z)udAF9ViFdyIOv0%WpXI>=}`IcW`=!?0S4o5&+sJcL;MTL($;tT$!~~`Yt!f_TD^p zRJ#5(A}{%Kc$QJkUdLmv;3wj*o6Y((q#h0!d{VEc{cbqi6I^!7jUA+F@{a4miY3h` z<_US6z@En?iLayBLP*i8uo~9GQIrkgi>LS}OPYCpBC|Buy7*ZgL#PK^39o%h-LN5n zP)tT*1x&kH1;ReCK8pv1*u3MCV~Q!dQ(2mN>~Jk@Q*Xg;`CYU028Hp>8?=v^Jv4)BS4}QAI?b8pt|h0K zOwqoUJ+sahxb{JbTodAe=LXYUgPB{XV+lnL&N-QGF({0TCZr|)d4=~XFdb`pn|WvZ zL2;eXB=@O{08psebHOyP#Mj52U%AU)m(wSd@!g#2+FEZDv+XAUMm>YT287%Go0+>2 zlr8|qa@9c$Dh>S4NOSdTjeLh9pBUG^l5dj&y(buLE-^_;{*hqY^oGVJ+}lQ6PN*qP zNrr@Wo9W{huy^8{wM&SP?`j7IQu%Abt;?DQ-l_8cBiv=!zrww?O5cMkY}GU~s3f8L z*<}3O=#NEOD)+SGC&~ur1CNw1$Lx;_{9Lw_aY2_Mg4fQOTZCepiz<|4G@&gcUkoY_ z_P4U%Uj`s*e8FOC2Xh&io)~h`)qYsr`tT^J#HiVcJfg}->1xzwo-37`LDW-~W0Ns5 ztAfWO4y%A`|59*YhaJs_j@;H4Pih!dwrc3HxUHy7loHC z^EK2>c6&@1jY&QH4>_^g{zFbz{*n_@VM&GCT|2ww0n@FO? zsr1ya4=4@+k&^@D^QTlX1nQbFBVW0gMD(7$D3YT^)`|v;=3w+!I~H+|5F2gw*#QNO&u`bbg`X0ynJIV8FbUg>t<4#* z{EU-J0XsgYw84-U&JD48yP&ts&8Hh18VNxG2F*p4z=ovThP}lZR1(sTKRQ1<|V22$H<#)bEI|eDp{LB@Y_*# zA!i3v=sm4`Ygccz-WgScv{bUn`8|oTRZ3M-4@r&OW?e=02>7fE!y|>M_6pi>5x=UE ze6GuweM*q6@n4_)EV5E{-zSoIR`@8SGL>QddJBp)$Le-=9NBAHHA(g;^mYEI%gH~| z?c`!h*tN{(thmw|Z+!pyt%6o$A$n?UibLgi-?MRv<@T7OjmpVDQOwgUpJpbecRotd zQPNhDY}(EleSX&t)KF4^Dpo1Cx(4XUJofqu`ZNI3r0*Y7Nng;T-;cZO;e>=tllnJ91^JS zaIim1ngYjCSiv2)z1Nd}+>6xp5oElWYOl_Gj!d*lz=yu~2@P+0MGIE(o9GSoy>bp! zww@XEXj1UDN7viYk<*hg_}s+ltm7-gz;o&bMI0GhZ>Gwhch8wuv2#t4fe*yhK2|6+ z)zU-*H(areP!V-*J_OzdSFBcNEy5zvn>!h$?hmuQ|D2PEsBzKfUL6Pv4_3%PU{we_ z0*XSw)cE0I6^-mFqNwU^_{7j!qe+!+>&m{16`W?HpL1F2Duv!hub|b3hC;*fmxDYN z2$cODU{ch}H#k43XZTrLQ7>0^RR-0$!;<~3HT$$ZH-`QgSvFq$Z=0@CcKi{>>r?1+4INw_MHrz|~)$q4lmVKvHQ_PwX9JdEb z-aMtA?sq*MJRFh&gDA;BP-+kb3y5AHWVd1IB^N|#E@2AF9kr4$S>`GJDp=U{Xra%4 z(1;30!FQ*HPieSu265e46L_=)Z+ae_yK~e9IW%hLG$#@EV4JONWa#|^vvrsH33ygY zKroX}=Q-s8JI+10M>(_JF70MCSVk9*mu5pvj3O<%$rL=wlg3$SGZITJ{D8NUqrGxt zDUNW>IMtKYECZjlK}qA)+>}y<#uOU(hC>wEhCsY-+~tS}?&};y*8y)g9DEF8gr0F* zB(=Q$IsEPZOYx!UwY0g9w_QXda#njHSEaH7&);^TK*NGTa56BI37<4>NSkpXaMC+; z!EWDB=t|v$wQK04wU57%DXI3%eMa4DHMSmN2B$ki0m0|7QM9yP^ifNFyyg+lF63tb z8_1QV3qdotYG+Vd;JG}FwZ}@6yqMD?)U`iTi{QvQ=TSDSC9O&T#;{Pp8RikdEtdVg z#SGvU%aSJhgcp(}U{`pGJCu&ra;vZVEc15^pbKT^o2xMQudp(;^zkAiRKTv+D4%C^ zO|&{Av=QNRFEYAnB#*^R@B6&(7~fm*c-T?uw;j@9oE^CE(+Vw5-ig(IXy|C$=;yOM z-LhA4p6&fc2A2~(2co8zIjJr$%<$JK6Zwr%i?{wE5whuwY>&Q4# zrX~eV&i7N7RB2zG^nY=;e}!X@$z<}*$0J?17Xe=lY>P?c%m$gdM@7=OBwfbn%Cqg6 z+*i+(nZ>HB3s)mIQ{k=^>YbDQFLNIE|GN4mr*%?3*t4Kwk;WYlW<-#vNs>jmP$TnL z1}Dh8S-Q|`ZB%4pnn)=^*t=uS{(|MD_1%i>w|ZlA8S_SYu>^|l>9V&!|Jwxz4U<~Qh2t#B+ZP)L8|gbv*xTOQwnKjxQutZz0r zdS|$6n&D*m^b+UDc`UF!aZ+rggTJ@-odBsTvbRsP$UhIugwaX(eAjiCls2nS|1R?R z(f&@Oq1%3LLvCq7*|;PdW9KN+yjunAA+DBCdb_vHho$E=kfKV5Y9yrvue+A3XP3s) zjlU{Y4gDZ_vLsn3cDLo|NBjL&0$u?GCg32HU=%f;a*P*H+27lG$F7`LcxEAvQZv9D zPP3LFsI_a_U~f>9`fLI6Zod;l>NtdhkL7czC)Defq;_0@JW-E+6?DybDl7R>np5iC zyg+vZ=lc>0t3|^fg|1hoWBg9iqBOs}^cGI8CN0cRHfH|WnUZ6%>2ifbjLbEd5Gak{ z9-Kj1&>AS5@88YS4+c`Qiz#ILY$e(O?d<-TMKRN-)UIoeH%x5W~DDrPC-%Mar0vM9lPvl zB&JD$7>EbKNYe2_B}=#Rke+k(@5QGsRo`QZ`?L{#VKn~o#fJ-#czf`M5fi*UNTldU^MW;WPoe*C5*0lX3Kfc-+79Z&Gs`K{K$h*;{ zs@ykH3b=>6M~UX$WMFr3%G^?grq=~{@yurLMF$p6rycr?MVEays}ZFzz&+y!U{lp? z<&=WkL;qis)ITO>DFutIqaOE@t*@VacUrHDn0@HF-?M%1ZNY^eb#E{!0R$lflQKfo zSfEU0#fUah3P5W*hSrMjCEW}P_HRvYv8=4AI5#5~6tAlEIls&O6v6p5?aQXyGQ0^(3Jo%JkPV+GbkAEN)s}Zu=PtU=*R*Tq$k%@I zEYN1~;7lyBLRVAQCg*y@f1;5L?DaPq$-Mp(jfig3W5i=E5p{vx_&vv@+^B7%MMuUv zFP5H0{4fe_W%8quA(|^=8bWY51~BZ>8@%|JW^Wa12~$X9lI)k#NQ!%w23v6Nsw;;T zx-NhRzu0q&o3+0U7wt}mFEB|vb^%eD1m>QYapCQp;kUgc8)icba1mARXhlQpDIzl^ zsGaSwxT$PK)%6DZ``aVkGsNk?%=@ufp$YLGFWxZj-E%9i^Vi%l*>7S-(Du-+)%%lq z9j@p7EC80~scx{bMb4@LtF#Jn$AOaaAOA}uP`@uos0rU>|AX2HT49~&o5E*%!Y}H_ zL$2DrZT)uXU1W9h(_d-7&X&@C9quhX{WW+RkL|^XHwnj>qNY#2L@K@^$apK1QuHm z;}P}p0jbIt%3Jz69m>C#RG>6AbBg;ehH&+NoG-s;C8{PT$-TKcJ_KvdU5N9CZwy~_ zUUI?$3Kdw%1`V%PxHVa@C`47$Y`fx=Km(Wa<0zMJgv?{pE=L^j=?~Bfd$mcE z2Nh{@r;@VABlVILN7R>TrMO3QO9boWn#o4O5$i_Rt@! z9=~4{r)seMqRcdMazTclK}?$AsBF*Bc`@_AnwvRqD)HWk^Dz9C?$CXnonO8@cgVV9 zu$GJzk_=HUJjfX>j9y}Hr8W$mbTt457#nNk)+T-%ayr7u_136TYf`JESD-`o3Yn(w z{W>x>Ql}syYq_uu(ZZb=Ii=?#6!WEvM4Ok z4$+Z2^b9I=uDo?lqBS~0b>V}+a+=VVbB|Ge7nL6b#P}Dh(I8|lXmA3$<3c*Q?f@p~4ZVE2a0HJZk$`hkna2u__z71=WZ4-?UA zJ8GAA>LE@uVw(7Hfw~|Cph6V?*lg>@K9^&`FgX35!P_N%9J(FS!k61ZILY!a-PxD< zk{_hl;tnuelJKPTquhJTw$%BP($PdYs19WDp=8L)L$QkD2^HtzYW}gk_YaIWB`OhG z!N^q;?((TDE7e=)CR0_{mDvk!40ZPr0p13?U!zFKP>AZ*gS}OmMBKTtYAcqU zL05ULXRn?Ue_0zgS1h7ue&GYdUK#UkX&nOI2cY!v`=!DsYz^>k+Qh5pHQA=ERuJLTIq{TdUMN#zu0?ljdK zvwm2YC4kyEQ4>eVyl#WiBO%9A9ogplOfOq$83tS5FS?waxDWo=?5NiCO!uz3minmX z%v9%K{QjUmRVXLPFDY}M6%C4qi4XDu7$C6AQ20#>RBTjI^;VirAUz(&&n5QwFuuFN zLp8UhaLR062o)SMdU#c%kW{0Er{MFVZ1`zhatjZ3u#zbJc{d+{~<^Z8X>Yh5$@y$`!$ya|O04SwN}75gZ(*;^vb z2|D$dl_$6Ej{9L%O^0iBF6#AUt)6>zn5Dz^eov#x+lr6*IzHO7RJ<&t^k_<6BCxG_ zbBQ$T=u|x%jGt7@*p_pfo4HKbC)Ut5{t*7WY+m(TIVQyX{m@;3qem>W4%i~kbLvfF zH>?3@I^|k)VJZW&x7`YEhAwN>pR!nue!F%3m#4bG$)z2QokQNL-1ZNw<32z$YYsWX zp$gjrnpy2Y2MhpJSy~4D$hT55b$({cn)kS8w)gh~9F#Y<2a4{I#mDhV=wl-@0)1uF z6WVnZWt{LrWpmz(uCIyS6P+{LRc+dEj?Lrh$$3?U#yRCiq2c`W&S5r|=L~y1juL5OqH(bP#3x74b5myhHwG#+FV<8@@D*lYt@;+P z3E0<{MSe_wQy!@X**RpjF*m!IDV0!>P9IKOnYyz}o%G>m385(bRxM5JJJdkGM`xtS z@X!86GOH60ef`04BfG9<)D#&hkedK1!HfW;RdKtwb#M1H?uJqg4Fk}Rl6uqm*kqg^ z<}BPH@AH^Z7ceqeuc4t_bfiZ+XW)E)cfR;-t*(dVyoB=PPTg_$KKbBl%ssQ7@wf=( zb=){E-~LFjdU4_U-Cd$NBc_3uh|>eXGKhG9jlDI%Jh_a6h;6^+!G|MPbDS6U6Y4lEZdCQjUG3oy%*tz^}N933Eh} zu5lQsd;9qW@wDy%z#5sOC{*vrV-QN5<{*b1NUD8oS7?#}fUdmRd&M<@=nGJJyQa2X zH$|kEf1%TeuBITzFR60-ZKmQ{6*jC3965u+G^yhPUt$&5zFEj{gBkSUcKe4yecA8* zW4--23;SDMpNGxcaf#(@Gx9nNLR{v;~4??&yVdFnTM=K$f|ZPsV}1EUL*tK zNb;yefXqOL^Fm_Ne#7mt=2mWc750ZUB#+IfVA3=Lu{)EVmFpptiw*^c0=Ivcy+B8& zbCmzPr3?qkLtG0B6gw{a>)q#zN&QX;FIMM%7SA8QSF6ohiTKFD*tv%^e@_nfl2uDs zz1>TC;>Y^I;cAdJ)}(MZcr~6A>E-+uRr7Pg_c5bkB=qsa84bV1-8 z5L`up)P&fRqrlq$jm0O)_I5av#mCq`ZHCkaCNH$l4T`%r$oAV?g zwP$#VdZ(=%?Go9{X~|&#tdnC+y|9AJ`{x^iSEX;69USD`*FC8kxo~<>RU-!%EhD#r zUU3!d_2eKY{l_D+v~a-tWeQVm&N4uv6nnq8b-2?Q_V{-|9(=0$JeTq54adle{gNxz zB@)okKmND)eXViF)3!N)x;`c~&uM;giF}KanJV1YwHD;ybbTz7)A21cj)O1nZrA#Q zy;QFkmvt!^U(>5eaz(i)A}s>-kv;U^X^#B(QIw6)*eG^fx%vfR`%Jr~@ktNE4#`kO zF7?NjgN~uSy!BVpKam@K?;5AhdfBp0MmgMbN&Qp!wbumkXth_$39<&u!V(pqK@riW zPxJ9QTMN4#m*3jNQ|!mpqy+hy`e;mz)F}d}{E4H9$UQ+z!V7d$(A3C(ur-;>{8}rB zA+y>Yuh7-6+=Lz^4-!h$Cd3)nhs>xkZG;$%PrA?=J}<6f!zzdn1I;nuc3cv^vD0L% zp^uv6CKjC_g&wS?71E`aI64$_(n3*ZlxbF51a^t@vKvu#N8`*vr0pO8l%X_az53L4 z8+Ld<4l#*@CZ1fDM^BdLXB7Cp1r)(Da~iP}K}!iJT^8)b%7p-i{;PeI^=!8#{;P&Ki5C6p;g4c-Y^l}ZvX@BCRDxRJn~$YY|?V1?iMm(y#mhWQF;U;1%O$6hpK9u6uUq=UfueSC0L?O(M}M zFazYY7N#i?7bpr=zyD@Y{2>6>Kt|IVbWor3^!Y+pQs*43E?{4yF&?;F5NN>|3~QFN zw-uABP&vD*(@(~$Hb===)JY>66*=efOas$i0VB!IfqF8iW$Klh$=1rpnlUH9$C)Z} z#yd9s*j>Xcx495TCL1m|{0s=(42C=-fieXrjkka^_-GT5aV3{&#mFNn9#NEVX}ytr zzhmO$_4I`0{=5=Y@4kjO^#Acr)XiTb>oRnV$y&+(=0?_`tWf*tyvhyA;fQ zu5UhULa9vu%p*nfw?NI!v~AU;7)bu7-R$HJ3CjkV)_0hdRd9*;`a*fGBT*QLll{3MsulrQL=eAx-7!;|WGV(iC~# zd1IPy63LAk)mQv{Qh39z?r>4w!8q?jcqK`r{!Tiue7TjHbY5(=>BQ%8_#}ejQC~&! z&v0U|Y4Mb5Vgj$jZZiNxpr3JXmfC5UUgMc_;;aEd z=9X(!P_oeK@kgywbqi-8!?5EuGbT+;Y! z^9+d-4AZ(Cwsf6jdGMC=lX1SUax5vnRczV^x^uG1m={g#VC-KAZJ@vr;aK-%I)@+6 zaQsFPJ8?*Vlg*Lan2^3s{g?5SIJ=fh1PZ*p(PKwV|XQ^rpR!helG1^1eg>Mz?hHT%}yl`O6tD?!4J)Y>Vp^ z8#3xf-ceD^F>c;-FDX{JAKjF)=e62@ALZIrUDJU8qJK+? z{P&)ZS+Qm{%CW>S#hsVeF3MBEDqMH86C&C8)duJoqp~^G8|p49!+c;}P!o9LHe+Zi zZ`yQ6Pk;F{znq#D&Tp)DGFOMAzA+fd9cVGC#2(U<3SPN%JG1E)FAfhVUj`1M0Y-)4 zDXWwN$kq88pdMDaQoMu1SN0{|9kV!7iPLS&OT6U_jLJ7CVZt;baX1AGI0%?~D3ChF z;kFqeT3D`JDdgaRh|afexC`dH6QL%|_o`zM;8MsSq{e!+3NZVvvKVmIAC+~Cz-`9> zW_-D$ZY>mQ?kSIDuD1F)m#?4SxvJ3uwJ^T-nq*ir`>XX5XS{dj?VK9|W5Q7GGBdSk zEd5q63kB0w!x_Mm_^;Z?M1`(m_7ye`p~S=)+0)po&Ab$x7t@)nt)C@~s^jplK(NaJ za1975ERb?+4K&9GOCUPI#K=PzZ1Vke5?a(I(k}X<=rbt%C<5<x1^d~naG4z10o;+U}CoQh|DC5k>r`ETkJlCEj`jh(!Y8+ii8ObV4V&Qe(ZWlg9Y|e)KBW^l#5KbMm5Y@K6mt>x!}xbCZ_Xe zZ=LVab^f|wHQP{@O0LvcY1qG!Gnv!;H*yZjra!ps>Yrb`ee>7*3bEr;^z$abhN_afKFH*O^s!|Qg_g)kukA~V@y$LjaOT94~zpI6prkJ zG5)my_|^iY-@6E7(NS-J&NL5n!BYm;eBMl0x}9jjJ6_Dent{CZ%s;x9Qbb&tF@z%t zqfnJvgU8j}#6coJOP|;yo=iGKh$}RBKgTfnK@^A&zEKzI#LrVyI*5fjkyTDh&VCWs zWoeyKVl2Bpq5F?7pnzn2RlzDGBg|#8Kn#Q7#0NPIPd0XkP_GnEg676Ef__Mu3uX?$ z4?m{ku^4dr@95+X#KWpuaB~+(UlXzD(p%mp^$QQ`5sfD3teM@?j|W*f zXX?uqiL}OWNnS~0lnVwqgTpj|@`(0Jf#ezky6L#X za@%~iRENVzyt`xcROFQlh;%&}4|gM{C#`X&w43$)SrdJ@5Zw2GR#Jmffho8gMoFH! zO9d4(oA;_|f9z&3-1X4zUFDY(o)?kVx4Gzz3^y=;;-3VJCxhDZQvf1IqH>EqzlhOP z;p=J7anl=|;TN*{Y>%$n7PSXIm$Skr3CJ?fi2x8OIT%g`fznX)>eJgf?UIFMBlY|6 zMMoqp-0TD>&j@cwU;jg%_!ub_kp%IUx{tjpu2UWtUjjRqM2&@<{u%=F$`AQcz01)9 z;45+kFu@h&U`w~Q(Xa8dlC#k zhF{g7q!9JugQ$wqXGaZ_*l1=~Mho6JJT2!^NsfV7+BqnF+LU}$xS**sMXq3*c;O|C zZfnl7TTcv=XGDKM#;F(6o7;XBmCx&$Uft2kz#ex+`bDc)wTw|?*V=E}O` z?+l^IWf9I$(EEqizfPUzYWb8t1o--4=I9W_*v+i^Zinq?Y`1`() zC0v;Gk0C@_hqyPmo#c`62%-gpTq?D z!vk+e<kXPdo-zEP2d$;p1f_tcqa ztA7wl;(lU{GEp}iUq(asXz(a=>UUwo+KJu2;v=1bt9v~LuWWrm#`ZAPD5pDD3WS7)wLJsvF}` zOfPO1Cn@xQ2n@U|sr8(cM@=Zcz~aF-)_&$IlWU9u?~4nzOYZpc$%NxKx!^`z8)|=H z2n+{AGd3{EC+r*?ofHkY8P&OlGELps>ZpXJm~Vp_G)EpydvlOZD;etD))1%Qm1K@` z5kSruV)Tl0E4$dyNtOYy=y=i>iR>NzKNo0w*xx5sW~>gP)-PNM_21}C5^+=2597$k zGy$ETAt2s)be0^?5))itN&MYM&($NU3>GCyaJ7;Sj9o0gE2K8s;VE zx3iBybO?xsr^@MfgcJA(O?Efr3m_`q}D$`I~CYJ6Z51818fuox*^pet4(UT_Nuq*mmSp=83S)VWmVm zSqa0r^jd8#4QGVjn;$OYRB=s^bf5}*ap%>!c)eOaR~X|v5sm1gHr~66cN;h@1@wEf zDOhw4faN*}O!U|JbOQd&*3=~Cu2ZA>UPD0T?K zYBImM%mTn6v=1T#b)UTJ?rG*Uq^5PuX92bwqReu_709~(wUT8IA#Jy4t6?bZ1S!cF zvqYLMEr!VxvEa4wcFETyaVu3D}s5ed-J2> zx>rqvxV!RWHf){f6-2odpoTFFfduB%xEp|wqG@@FzcWxSW$bu5tn7e0(r7!9K%)v+itUmJ}$B)%e|qB^9@$&*KvCQVo`|+FV6~2#>bVdvtGHJSuosjY^?jz44$A1=RuE;&E|_) zJ48R?jh4pf8t0+FK1U#%Y3y_)nwQ@ez?K}WIi9k$vrb`t0l#{DW#n9}U&SG4TyUpN z(ZJ74)$x#?QIN+Ai)kbRH6s`t41tr~Aa#TUY%_iVHmVUYfX-qtw~Zm(LkjhX_b&nu z)l)*~wO0LrZRe5#;Rp>Qp^zkxLeuiwmXe3%AOIzm>O>&iPUAurl0IATQ8EPU%Ja~k ztfiCMSVyvEVj3lJI9CuDsHWS1+H?^J2of!<6p(Tvw#f$lL`UbM?XS6idSbXSb1@hI z?E@(cCC$?pHP>{cu#HJMD42a}G%AMljH{^$YSOf|eWq5z>@TTcG4tRX1CTIsP+_fu zh7ppfRnLms9S5Tx>NqeQNSXI2cIaia{tm@I&ICfyBz5c7Xwg^gt*q`B&KvXDX0;-= zPpzjYUa}F2z546C%Ru!H6)MNi6Q==Z{57-!P97N?<~bPt2}qyO^UDz(2NqAQE&4WJ z=yGQJZx>#Ba^2~UZFzWFG+q?1E_o@+MFnXQrjI-b`%d!~=;C?;UEG)KII$B@^yWS(h{4J1|^J{bB+ z`?wBBfdq05fXE}?GZ`mz((hUx*@-|3F$LN)wq(!sir77;wluZ@!knBHb@ky5yI6|< zrsfUGa6b-|0Set&nPJ*nW9|yku&-j_~q}Rz)8_2Twe^O7B(+oG_UA@-1)r-e}>fVCRR#KS5AoW z>`eaG&mQ?-+p9f5j;Q~2OM`the(Ces<{Sbo9A{^oiz4c~&}xu!$53ieGKqSPlBkOE z13&YL4SL?QsXs5c^oaV~#)}tz6(W#v?Nrx^r!T(nVg^h{v!j)+4EuEO3o+kx;3TJ% zWJ)010>g43(ep3Oo*+#48=EurA3aGX>gkr|M2|bxa^630u&*k#bJU@}uwSjOQjnPI zpc$$3V&FpK&bnwLQSKxu(Zq2L5 z({x-D>L#^aG)uS(M+tX2%P9o&fmwpg$4DQ8jHJ44l|eW>7z8E(4he#wOt_@#FqeuxHV|5Y)cgSn@@M)~ zro74N6^qYjZ@x`OJu}hFXoOlb`p|*<@?FTGjMNkqEI<*4MCM`!C$gSZhfjeb$9t3N+dTNrkFt~<|7Ha_SwlJAmDR>Jph3^pOy}CenW)Qj zT?Mxz^?WhAXVGQHwgF-JXz-{iaQaio0K8=OOLBuqWH-brN*4j0-DM^9R!dT6cPp4` zse>bBU4^y%*V8&Nm2aIP`aK=?i4m>jhCB2EZ=YO{~nAut;# zyc;-Q@G@!K50b%mDS^1iAWEJwN3J4g&U4u61MA?W=WKezv_MPsF91#~JnfmI&ESih zgqC=8A`I=Qn(`8>7mf~7RL>viqIm>P7&Dk2WF~~fa`a&ui*bQgU|2gO`uUA6$2S3e zj8s}!uNO(OebYk)XLJXVX<$H0c};@&!oK1fcl|a2vq01>!U2i$O|!6egA|8#*HiWV=Dogm(06lI&L( z$n@!{d66v9I13D{(Hv5jBu|IvK|5SN+=11QyMs4uI4Ph`_03<^@qhgjB|a|&v(T8)Ct}b9cbO@ zdT1$P*Vba0CZrc@H2$FmhcB}S;&cWH<0U`51bD?kGsX_`3;KVNxPGEkz9cYb!OIdJ ztP7HB0e!O2$J|2Gay=seJMrFw!}-Hp8OAbAAte%Mk`Fx z*_rMrJ>k|8vM{kaQkXK^*l%9VSlE*?=exXf1;a_sZyU)R(_2A{Rn(M@p=aj#?govp z5pcmbHFXtVj{62Gl@$Rh7Xj7@hQbUzt;d$hZ+pOxnT`C6e$4)hestz< z%sj9;M>VDJ72HxAu|HljqRS%(Rb2g|2G7fn(FRij%_juV^`(eH)ALV1In^T9kO1l) zu*Cy%uKK)`nr(L0aYi`NbR^iIR`H(3B#am)*`pNfVPhRtB*WaRXbl9h9!vF_|yfr9z)NJ?yI}w4V(>5{v>#$H8Idi!0&jJ;P z!i-OTAyId-r2p6KGhk*b5kP;{oxZC1yl*kLOwkdD8x_Crn0IzP|1!!VK@f(_Qbu08RM_G|-V-`Gu{iU2;|Q^RK|vM0@(Wq_ z@g+UtMlZTY=y%g87_q%Kg?Q6b?qQo6fy&ezxN8Jkp=LZDIA_TsdgAm_PH=DMs~B_B zd~7d;duS`KFsEhu-uDR7e^(n_g5pn_{}YF%f*kMeiQb)Uij zo9};~U*AOq{ZCF0dr4U(r0-1>@Jwvt;XP@+TqLBA&z(3E3-!~MHf3O;>zRXJKgasv z;l;A9i_S)!-Kzy-t3bzlgi7O+zbfOFsc|MYXjfAxV|V5v6`J!O^A7AYz
s`ni|zx0%2(dN2V6&nB@ zY@NXOQ&>OVb6RDeRD*J4_~9JGR|lHp)+2NcA-V`}X?PW79Jo__|04Crwj2Jy&0^Y@lPSV2$eR!SE z=LJ7gkm+opcab#i|fYRaj$PF9~thLOr zW)!}Uu?0wN%y#?MT>d+88@sekVsQeQpKt7rBK3TpmeI?T3(z_5-YNkkDzlV|QVpUC zK2l*IB@Ib*w265aka2iyww?ur(DYEW!zwyiU_em0Jhcok{8Y}zcrktYHuYJo`;J%hywxK^$H5~q@<2Z3Y z#E&u%tcAUhFnR%VaM5O(wS#`A*1Pi+OW3jSI>AwD`#tGgCw(B87w859T}pFm4E6%h zEvG$Vq#yt%PJ*?kKPwC$3SKP|?d22N*=@6t^)jxW?mMc24g2@D1lLW8kvwPm2e&E`>k4{mJN5g;z;$H=*t7gVDCdlADnX z)Wm5POp^#M&;q2;N_?fuqIZlFWt|y+fOM4>)Ft zdovLLCzD6H&>}4m7@+8`)TR;lZ3Z|Q(Yc10CzCX-d&;>fBti|ZoaN`YU}-gND(ay& zVpn+(VqfT<{^>UVzbU(m7M*08x4{#&PFzf6pWn9aqJ7`DhBU~J_kR6SGR#fb^{Wke z0o{^kF1yK;g2MGGBCf^?2NVZq%J%_s7XA9Y>kbaKatB@N7&PwfMO-5t`FcCr&-U9@ zme?sJ>i?f!?nB^&0t+yC4@f*u#&@75;|7!=2bk%F*OInh8T&2gMUdCced0{SZ|LbG z)v*C61=47!tCNlQ>B1t9{70WV#D$U}CUFI_t6kvCQ$HtL#!tYPpx2_U?)t7?XNtr% z^4y)A&#-Ns;YyPQ2b<2j@Xi;>^?dsTiTXt2kZD*Ye9+bvwDR64Tsi$objifX&ds}S z=&HsT#%hSGjQxou71R|3bq9g|yf7ZbW^GsAY7Amcd~2O;YZkd$7@IuUXzS|z*nee8 z_xgMx;yiivED_w1m3e=gU9dmY+`bqUSkM|x?-?Y_H3a?9xO{K+%8gf7*OilLrckSs zeFl}j@tQ3Yf!|_YEje3JYL23hYh!30GmIg-AMxs?Vkio@ zE<9S)qp1gdL!Smbqw`l(aPTJM35Q_zr&+=U>@de)Y?ZWB#;uQTlsS$iJ`RVAGEt9|c+IwLh$hBX1}L z+w^^uZ@hx;sPaq|*}G?yHcKu$U~2HqYdaUl8@&9o{dU1%YQ4m6htSnQy$H_uy`36;f$xxJJ#S>*n= zktJZ%>_iexcYUo@aWQLwCwGM0rcCZrP1zv*59CwLGVia$!J_8t=vm0z(Q+C&+#x6~ zu!za%YSX=G@^k0O9*IHb5~(IIpJAN)ucI!68)>q!Ca;Is~Lq1OY+1 zyKClmXE5;nyze*uxz<@O*J5U#XYM^`pS|}zGZUMu@5oeVP%HoEX}Uf}krm!V>eQlV z`PQFAGD_2aeljW7@7_k9$j1Nv-S{bO>a)47uOzcH$d@rmmodraF-fPd`s5o<8noiB zub5zu)|Qg+Z<)ryCHOZl?{-+X28BF&LAx~eTI|L_tJt-v9065+?>9N`SW~2Kg<{NO zNcp+mO39-nRdE0}>rn51j^k5u&&HAV!_*Hpjx7$j)RLB6Wg8Ie4G3hz8?pt#+em@w zaWEyhftw@|Jhl$o-cjY0%0@l0o5R2}qp;q*j6nCJCvRIN$vhFEEqA z7_09w5kJHF5O+YOsUxCQa)(KT#cfr+;2L49#G;koc5rbr)5ht)^2EapDQ-)uA_=l| z>q@!{5B8zGhO;W zaGnt|5>tn$a4^L$bof8?orkCK-_UH7W)=zRE zep$C*FFv|(iFgv;##mEtvc(#$_R--rZ0+MX2>o{Rx^Aru;{!S>tLC;@+JY}HgpE7G zHa{OogucniWA&D>_tyKNS~B$RUW9^=tyrgVXR`lw9~UmDXlU*;3cBsX(1UA&Bs$+? zgQo)$o;ea;Vc<`rtDL+t)cl67?`KUyhS4=?&~a(UeNU`Ua|mw;wq-m-Lb5lv$0%9W zqZ=47GqnH6>`+|wVes}^c;uJDY4_#uvoHZp2nc&lZvjq%k|wP2dk+B?QP2@{e)rW+ z;$$F=>*d*tI`#ac5Y1pe<&ta~R@OZ%Y+-B&h>O^G!s#$QHKrumK^s^GKYfyjTvEMH z%>otYn7;&Uh^+Nh%=?UBVj+cZ+voTPA9iwFZZo|NO0zD?uMnzry1uDa%fvKSa@y`; zSBPcus$*(mm-RuCc!A1}+sIVA#ELH8hfHi5gGn~(!AHybkU9fM{c-4nbfgLzEdwcW zuid|)sR$N7^F(+WlS=RgpFEvw>yz!o%hWJ?YVYF^pe86`YZ|}E2h#Tm(Fej^_q^r$ zIHR&NHf9e6zs7&Edw?v39|a^_YT3{hIy#y#LiX1ju5`f}kusf|U0sKnca*Fj(#U>& zMaO|OyHX%)f31*g8IKgibPFW$Loai*gK1!e<|OUyd?0%pTT#vDUWmJ;+Xz3b@*$r+Wo5E4Ct z*93=C4I9DIiRFh*wd0?cN>{`d!Oss}Qt7|w<=c~7oO^EF&4@ZMcqPH?IkD*L&+jK| z?zdfb_P>tdtBB#JfRPf0skE4)*kdAX>GJeSI&5=8Eedl@;~CM=)1=&|u=GoJR5XGj zr&oeFIMd{+SlL9HWC=+137C`!AkQg`vnl9BIp<=7C<5=QGF9JrI~J-sBD&EPdQGpZ zRk`t9zn{^ypm+)EmyyE8<-2kcmi<;Xr*;6QKwuLXvGZ2~KJc-vTszGsOx37GBJL3p zq&IUg!oLvoQFFtF{9?J1z0ku4JW}ja4VFR?0Y|K_4elwa#vUa%YkPAn`xHj$oxWOd zWn6Q%p*K*SJGmhU+O+Gas=~$$uPu zkBLj0FjM1j0}B|e2P9iYO+!X2-0eR~44aE}Zs}_2rz^Dzx_x3bKeS!PUz1q#>|=L4 z2ZiuKNzoC?B^NMcYSL4^DkGjMq`+z1rl`UB-ZiGT#&*tMqV^R1!#Q(h9)(Yqe8m)d z@G6QW`I)J_GFb<&vUY7$4IPI%r}(fYap2uJ)RGf-ePV7dOIi?5i<(&4yEnHS5zwQ} zPIB<+RpPAD3y+(+vXI+ajtY>R(L(6DF1wekM#@?=^%}VZob%yn=t~O%rfRN2ldd2= zPlI7;884V_rJUNKX@qZ&o}p?=$E-32sS*a{I5d2SOSizA#|$hWupXdn*?;`N#Z&a* zM~YelJN4D=wih1Jfx^afl~zN)JBMPV?4=d!!^Jp~+_!;yVZNMn}qg_gFsPq`~>7K}b-6xZ_4K-|*KDXKZU} z7S2z0E*BVn^q@1iv;LO%w1sziK(gy(fPoYV>%cf4{;NLP()tALnp~rFaUa`q3WCu} zBaA%d3)Po>igsU$MMTv^;}U;=>Ivni2&Wtqecfb9%YUz%&mj{7FCT*xLq%H9oz6bHOg7|^B2T8f#J@(#M z+cBAlpoG?XQKKzwN+-sni71vk#B?Pv${`RZ*mLR1+kt;I@^@OGmwBy*W$^Q>Lk zxytlf-CNRESQH@GY7huIU>Ye6He!XdhCY~im_r`tud5}Vv2Q%pGXJhFo%KwIp-^D~ z&LDl~eb^~T-6=>dI&Klo+Uwyn#cO~Jih>1Hoo>0H-hb7_;Ugbg>u2=`RKWxQiOuPmJ~mS*o-LFV9iama8%on%CZi=eWUkl7o!vhoZ?5${^Qv&R zE8?15r(Gz2np}?0|G7(L<@+h8VEL7ByromlEZ#p@AYU& z$(drwA+hAxZ^&V>%YX#1T_|JM3yYfE7o^EBmKFabh{03qHj zLT>>=f)Y8b@i_2(SyYY#K_6pNvT-a*rplJWO)dl~G*l~FUZZIZt$y_dpJ`T=FR=Ty z{^_e4wYY+m1SRh<$KwbBRW5UF4f)6TT@U_3U~yNzcF4TVw>wKSIDaji+D3S4V^e2i zilHSgVH}FL3?*HLlFdU&r{#R!8^Ria!Kf2%l_Rq>DwE(gW9F~ zOA;{J;@tauvHN`S`oc*wpk%2{-uYg}5Z`yG2>NL=J?Z7a z;7`{a@qMu`V$hATlfGhyn6OjK-pBL0eHU{)2cO>1>Uz1ZY4X_ffG?ruG~wx{jxQ9N z-un-~>q~IZFqntp7kweboHTiieT!&SBo@c&>C2aAcFB~m8nuW-D_Lbty@(G^%^7wj z=WWu4U1+Vh6y?|HUUsy=z`Kh9xr>2uAA|Jn6`y?FVdf+q?_Ec~nkm6+Vzv`fValf- zUX9Af3dFwVp?ja9wKC-6YB=T+t22SOF#*JwfHZ{wVnRS+$&J-03?((99I!v{5`<}; z*W_wF@hFM4-reO!oWOn)03X_tx`fw0?bl!eL=XWYyjw)x0syPbF~;L?0t;vzT{sD4 z9}D;BI<^Y9)tQ+XQI@y{n_aiCNp7actEeYt*_^|aogE4f6d?aP`zQ*d`n)j4TAv@0 z`_)?Age20=f%Gp(g`5c~fQ(!K8M7e1fVLh-7RV|R(k^wFhlWXm9%ZKz<&t^G!7MI+ zRyWSWOia9dOw!}Xxa#v>2_~V2v8M5a$WG&uuto{@qmgSQvFeL$exlEBv(IBgv9&Pp zjzjGgOpl8xDa(5|`)YtiRtkBfaIw0F<4k@?j?ETLVM(8pAU$h~DlcBB1qo>iEh#hY zslwpv93n=zAIXW%7+u&c1V78<5G^&)EZuN9FoxRIteo>(NDp;J@IdsUuyMf^y_+wq z0YHO5BQ>;wHq7~)feym`jPaVrV;iXpl^I!AE?i0@|J+S_@nH3EOK`s)lvG$SZP=q9 z8<#GM$q5n_;%8t$P+bM=t<;Ygvu_aaRH6X?se+mToe0m51w|%~o(c``r6fvj2Jhbz zfz(}q)PfL!)L%H?-RECPcaNWyj;R`S7ah9E=q<0k^Fv8S_rt$vGgv8S35qvOnn}y( zSj~svf1OHWfOWHJlfF_cWU8+MMaB;pcm4Pg0emYJwo{hk+2s0a!o}?cuBoKtBKPhT zd%44xzGppnhC;6rCp_*($3lExLi~;+4(L5%$Yn(LaiAXf+=ToGbl6%eY)p}$}3a9lPQyD+(IAZys*3VyDI*<-2O+Z|g;NB%Q z^3*w$DR{0(t6}i0rA=WXzpIRVq{AZZfs)sDl-%VG*Io^3(=ex+=+gYzt2}|BZT@(x zPqagy=A_QtMmP-E>uLVb6T&B0by1+D^Xkc^3;NzDxV_g#!`o2LQ!tzVi$#4T*@eS<424rpSOb{+zw1!z%lWlt4b^LP?F~Z`mEvF4jjU*?;G;2Pv zPMwN9^3P2QUFP>kdzb8p0kC5Q*>B^BA8uOp!)h6;J8}maqW@4)l92W@hy>O zhoUD>4dhcj!QM&9%h?hE#>aD9<7`~|Ww+CZ(d_^<0JSZ4xD)3c9mFK6@Xcb_uq5I7 zL!K4VAFNwa;vJJFdOV%pB8+z_#ijLouefWyY?>Y94(#R*2<*O=M3%*n(xlwH#_f4? z+JqXpw05y8U}BD*A@R8)3t!WFj-bP&;=yTX#!ip3VR-8E`|2-P{wAp(K0R38U7xtY zaRp9-RY9=az$cd^c-?5s!nR)W?7~B4PBD2B@SV_FL2fF~Z4$1!KZMkRg+oU;aeZ<_ zwWS^p&tQRwItjr5Yh<`$IIxc%wv668A4A4*XO9U^!zab=dgkVxZKlkI@`+f*qDre6 zu>vCv5{NyC_i?C`h!0Z{2HuUJK&^#DP}5o@BVMS7y?juUiyjUlL*8SC)x0D`;ZyZP z%Nj9`tO|j)%cN!|RM^@_{=A{3JP!!p+F5wrFtn6NHcGdwosJ7JsGNL4ba1%YTa7g# z*MP;N@IsWSm8N5yO>EF$c@k1L38_WLttmiLB$(n`eRkt{M9)5C5M(YVv1o60fcxxt zIzEe`u(T>y`xhqk-PbrH7KLj%N1c*C+?91t5L|FL}*G| z3DZ?VF&0@YOu5HI&gKniLpkL*j+tuJu8Ki#Pb*ho?oHs1PiMaCD)QJ~#01vI)eNNp z&1I4$F=txuAGDA$T8IfPM)T@}uAJHToU9uE^MaYU!q(Ikc%GN`mM>MGI7 z%eW{!eiV9{2xd>@4FWU^bt3U$O8mVB{I(`DAx@g^`-L4JaCAz}d(CN5Tazad#R@7k zSSm#L+ZgP2Glnk-#O@5d2qY~wc0zj9HKU$(VxeL%Ta zK=)(1i8SYHhIf2}>loNNB~Xm@U`$LU3=g1J8f**-XT7chIRaR%dA)YY>$|?f;>@k% zx34MbD%8zl^K*88eV}|@_FuG$NL{Ksl%RybdLtjUEYqI7pztFwG3~}T7eq%rE@Rrx zhjf{jO^L)zvBZ$$$R?(@wR$YKBTixI1QsVipT2-*EO^hwu3$K0^Gub|`dfaAL7vX5 zS9-DVrm-OC@Sc|m7-GTb$-NHqP+Fd`GkWGn>>d_MbDtBE#Mn6iJMa%#xvM zA^+(?#?GV)KI2UcY=c)&vWlyOESoo&STy{ciU#M?vG$ydFOa_tq9zkvd|DSB6|bbE zUZeYJ>W-s#Os-{HSurMdDJC8|uD?rd0RE`uUFdj(##_?{lPOKQ%NDub1<9D-9>A*y z46SM(et2zmjU_g~Pk;p9gyD3!%6MPa=@M8B3@_uel<_)5eA!&3X1Rj!MxVt(W#&z|g-I|6UahDsj z^mgOnu0?ys_yj(K*y6M1BiGI6t)KE;ENkN#?%6dGloUB70yo%6R|sa90o-8G4h+Nu zVtwr9Lv5Lxie0762OX7fl@-NF#~a-r-XwO-bkc$Fur<%(14+jI&LObaol z1q~b|FoorPx&8139Y%UfZd4{x&a86WNt(Vhf8nY9%jsrSVs$U!iMF#9>0W zZtOQGkp&%8#aKJ0VrOY>A2eU-vfLT~KkX~ia4@(g2fOjShm)P-pyE~DRD!L-eMnsb zq&9&GmI$d&INz;F6lkH$R4v|PQb2ph|HjSTqiXh?Dwtn3$`VZBrTN9GUZo~U ziwWJVEMb?Ij#XL=@)Hfc%{sq{4ah9sMISs73_M}Lmd-OJ#d+`EzZwv8^>z|Zjr3(< z?xq4N^$(-@k47zOdkrVA6-zlqM7*&=Ilo4s7}MA_I1fx=T0#Ozm%e?3A86?h22F*$ z9>R~ZV^MxH^220kSMCl*`SV9YQ=i^PCSz;_wx!uWD40Ct8kfDS{<8n15~$x#+ z*$wBQsu6!Gv#4xMzAW4M#;bTWWtgaH9y{K89vg2O8#0ZJF^^3;E$fs2Ea9N)utb$; zHwRa~!aswkbhoM1N}t`CW1F(RRZ)ObME-J|>K#3K+d+7z&{b6|JixRvFfg)@$(G;b z_cy5D^YbU>XJf5-zw1!iwaTqNVNivFo55B9H!`mgBFTNNr=Zw+6>Q9lbC3NBW7x^- z)wK(h;5|m1Ngb*mT(ZuJF3xDIv%-tOZ{WmnXs$FDiO;XMTwNF1Z&EY_gnH&fBO&Q9 zA=7cR2ceHGrlI2#nVy|j$D8~c+SYfnJu)7$SITDHXA{WmoHi%yVvom#8&oQ(i!Od+hDW?R|3EfkLJq-dB>+17giEXMqxj2&$7&B^ zf2{VVfNX;XhBVAf)%$<q21g5^r;Mgo|m^1tQS7g6jmsZcX33?r_rgR~4_85$rN$)Vqyld|Txol+>9WedSuz9bj?5 z3+Fdrz<&zw4I|^<_DrR=Q^_%uS8;v)Fag7ze=s9n46QnW@ISdH>*ojG@DX3n;U|rXAEK6`B+(;Y*W>S)L>@@ahJ568N7cm zKuj1QmJ$#(NkD~6nc@>^xQ$;+N0F=6|rnE1K*ql2GLmOnY6a zZd!u--4){N4)Jq^q^v=dwm|Fl^s$`2;`0@#C5g()T;3b|QY=ka8Ij9JSz*P_=YE~Qyf^J&cq z3d>rD73NV`)aGIpU7}NdmAvi@HxD8=UZ`aCGc;(->u$~<<2-E*Oq(+|S9iC|?R z*8weJ8_5~5zK5niSiIi^eHgyBE@#8sMCY?_dw1}vMhas$716H8F+<(1EX%W+ap|$Y z+o`e?ajGEga%DPfs5KFjDHaoQ9NC!kwhK^MVdw{!R!q7_P=1xtA+P)EkPT+|I6vQ& zPw*#`k&J0KD_O4{d`dja6nhqO9NA~V^KfK^#Yh?=!M4GSAl!kR*6 za=}kovC=Lo;cQdNyli!Sb7^77EFR(%a_v%N^*Li2FShg|7Aa z66tBS6!GtDQl{HqzVno+?d-=#fE3dj_NG)#Dr1rAV=;kH!h+15IV`W4x7QQnspu~Z zifL{2H)z29{G&Y~WVt6k&A&7!afhaG*eCm&H+G*l9*7=qSdVdo!SmHwO{|a21q1i} zNPwERQyfaTK-0I%vclcm4@k6oe36MB)ksP5^P*6`tMHMqAGF5jj<5I@J|nn0F`CLv zw9BS&PoQ=@2j|Ft^C|=EjI;- zt3F0)Ek$k28-iRS+vSjh=>sKTf7JT(lAFDbnOYC$wwD(kyE$??1bj9qcw{9U(}v2z zfa#}I1l%IX8v@{E;y=7&bML$k)#7-~3e}2Mvh0<50&EACATfT8@B>e;%X65?xea;*grk{%DrV)iz-(sKo|N8&V|Lo`MZE=n!8& z4XLAm)S}}SB>)ftrg%1tMlGoL;_DwblPH2MBs~}&eys3wc9niy`n|Q;ay2}})1do> z{i7ZypTvtyvlYN8bTS})6>~tErJ3uzl#S(a6Hwh8O1k%rE=MkIH!Zk?E{X}0Pf!^N zKRshJ!bUboy(|l6a6a@`j0bzk# zRE;Nx)osa!V9LS5H)qqXD3!m>TehejdAgk-nkmQu5#YeP#o;Z$LEy;7wj#f8epE$Q zJ5e)JcsWeZwe`cLw*|(f>UKwr1{I8H3V;-U_;mj4JzPNW)F?hfUjC-kv!6bek8UUy zeF0t%t>{@=)AhF-h6jOc!qMi$YC^%9!a4&~&t%*`pQq@DFqj?wyB+CDYB@T$5Js^74 z6|cUb-ep3Wxb`rKHsZhnL+eXL6XjII7MtleDob`&Ui4f6jg;3yNtIJf4oa#IWzvVT zs6&~Qo?v=Z$Iue5DK+sK&OagI=L+Y`qV9}+w&q+APv_cfNe3K7DTiN}%sJZ^Tp2j_$h`?#tgKU@F6hmEp_2!H31-LkBA` z*4nWfwaCRQzdZK{FjBfCynw?~_PPIg4-Y#(5DMR?+CvY^J}7CzLSGw_GLg`+dW-vz zm?#5p0H;xygVZQ-pwOb3uH4f6!`lSas(SL|wIJmgtuzf_(z`3}Rj%=z)q^VVRq~gT zoFvJE;<=!iM4Rj@F-j<@qLv^{2db0s6minh~xil-_A=QMBuWMwd8abyE= zuqx_()?~3h#(Y^F>%K*u7T?Zuw#MCPQOd0;l6FYwAr4QMJQ>HJ*QblLtqmt-O;l(l zUDj!2l%kb|ubzifYD2MKW!PoL_xSMiM?8<|s@#AmQeh_=%6`y~bK&lr$k=3O)>&Qt zz-|jN(pPqxEcNOze)@nPi`~_|)aG+&$JX8LtV*e)fY+h$-6>K^6N#)dL=$Y3gC@)B zkiS?fW$@)jVagA?fJ7bKd{Dk#GQ0-9H$_NPO)_cu)rG7xlH=f6>i_yIDxkx-n52lu zTw~>)5V>o%G_-MUuyQ8|QWjyKmiRH8sPg?ZrqSWzoKIIAhVu>%i_Z2NglKEidgpS9v;wLzE6Sf0{RLF z6x@R`rYdij3=?Yph)Cf2di1HYb6Q-LIXnxRk&Iz)X#CeHX1T7PTJ@*RJgAG-s{Pi5 zW8JW#I-1Y+dPsqrz$2*#CO$(+K=Ar44lurS!k8ZHg&eC}aS6r8N;k5UZ-`z>i+OE^ zk$vv{V_F8Sp(SD1pbfn6Js<1|wm}{!LR~^oP%N@fFbq6bU241|yl%l)&M*e7Djk4P z02*eJu8&W&b4aT3YdW|H=X1N>dCD577|Jii_TJGeW*oFyu7uQ8LF$jA@_aYtsnMvB zHa^430ehFZd`JZ=Nukc_r)D69}X&aYrRKq+v zQ0F+;Dv!pwz=rN*VlkxM-!R`yXl;Yv6Uhz`DLA^Xe%;;(%ta8Af|yqHu@&JuOilj+ ztaw0=tMla978a`V9kj%#-*S#hO+p;B#y<5-M zlHQ8w`tCpEhBX?#cguSwx!nqUDLj9o-Dr(ORsZ3GyL^b=Jm;|aj@e863O!U#98f$y zC@DMCTb@7w9J!Y^;iSe<1gbbBU4LuhdhuKOmr{O?G|HRNsctVE-cOorM#M;1VpV{F zsFPz0dm#r42*7YaE-+YMlBjHq;^gP+R3fQSdeLLR&N*Z_^=fH$QKKaoiXDTA7l8>o z2aN^u0w3;zX@~tS#ioGW3p}chyX?4a;pe2;4#;9CSMSjzStHh zniI`{mlvf4;>`&fwKzo=<5+A6hnYgKmhVkq zgo&>1+AhL`E(~@n`j^;!KZEH_hv|n7)<>%nEUL3kWqF*W9jC5%h?q6l&W5(FFT`o> zONGlY82d{lNmaBNt)!2Q^65I^@K_u@z_Gpe7!u`+hmPywc<^P>VahWh+l16}Z;)Fq zdL>*$@Pk#}bk<3Z(5zQg>_{oy&PckUaDY{%UvhA4Ou<(UqOC{pFUoq1imYUuV|s=Y zsM3&nCBQ-<3`futy7nVDio(^}v2*K^Tvf;;;d=vAVZz3({)b8fGxYdH^Msh``R8CG zGqOxe)vTB$V}fJ}d;3!j4$(IQv`@i2XsNJ9QoDpl`ZJ96j$$#Qsb02)t)xv=PRh7{ zDHm?UC2hxr97kUOv2)+}@XQoP6mi+EH`oLz>j4gS9TScULaiUcoMqBgxii{JTpBBB ziQwr6U5O-2u_Tb=$R?q;C4|aG%zH9K?pa{ukPKBGgt9f>c)9#C)XBAz{LWgB^6j)b zC4%j!tCxGfd4xtnd^sWB=t$uLClJ?R7u3Lskq>bf%i6j+(s%BIuqNx^gmnBz$HN`A zs~_53n@af_H;AzfFmT8WvrV|$F(7?D#Co(}giLz&3C)RtaaCxd`1mcR(j1R9zg;v= zePjRiCvJ}6F+7$F<;4)}QV1T1VhHRVP-_ngXGbs_wFpJeQY9^zO$OhT=T|AHVvH z5i%)&xi|caoLRnKA0W4LJnW*y1ivCkTmY!D^yJc-VrGTa6@%aOvB^5U_6C6mJ8ogyrD{!YwMHFt|i7o(S%(`MzV-Ap5FoO#p_h0lEo&~ z$7VVXV9S;|VWh_41s2elG%&L;OYdy_`1G2j#ug)JIK%JE(I^{9))*^V;*T*vKx8pE z#v)VLn3>{T2bvVG0ss$GXl^S$7f({O-LroF`no{Hhe;D7x)S=}!BDBA4Fm=X)zEqV?2+sfGnkSzu?~bsaoIC`Ao6;egzoHD2gY< zG!u!zF4W>8W9~|)F)j~NzR!9QJ>9T6e40ZP@ZX4wwV%7Lf<}2k?BjjD?@d)9J&OjQ zwT}I2t(fY^tu+g@R&Z^*n->P`E#L5CDc!w4o5bjcuh=^iPfnz5n=)ykBt?EZku^oU z74jfFbiNS-@fq09d!KLM9u;6oAl!)qB6`)Zg%c0wA8a;nSmLTBEj|kbIF$30d`Td$ zUEl=CzQC5gDDQ;1c27HDwlIb?EDDoIiP4a$JJigDmN^C?U!Rau9)WX|Me$maDK5org)M~}FlOwcC< zKYJWg60Er%PPHUykxkAEv*-1;=MB8Y>n*@bFkte0BW`2oTrpLnFfXZ*aHGGBV*U(* zY{c=pZ)3>0r)Tme*~q$0KOaJTgCKrEFu!LIzo)mnk=1h8jlyIfT;j5=FUdxh#`(To z$AAw?W}WFUQ+-=-X3$f9i0s?68s%R+8~n0}O9tk+mGbPWs>mmD`Vb3?yM4P;-}+|H zM#OmH_h>qFYMArJfPrx*-WcpJ&G(VbGOheG z1p6}t^4S~G2S5bO7KD_LrcIQHTYio6|rGTY@!!XS zBEZ7MHz~Ny?)Rq9u2+NjFjW@%k(yF!agLeWhGV+9X5!(q4-)SJioe*DL~@>c4?R2; ziyNPtvjOwX>6ZVRA^v-sA>a51wK*WI^wV~uw`-QT6jh>X9-M8LXf|N@p~xk#=&AtS ztX2Ohae&G}NgRWovMUm5;24Nf^sLU>*@zIz=dG~>uEeZv+v%nyVPNJ&dAMXHSe#7n z{Ua>=d`!_lc5olTVX6|eu|F61!Q5uP_3o8I(qg8suQGhG9)YUp%B#hdEOO+0X_{`H zOt%GdfvyTLPXT5OeS8l*wN#j%FjEqz&u(_3zvN}9q@$yYm1&$wiQuHh@*|>6TEi@9Ig_9!_^CaPc@)i zYtS~p*-fUukd~M+v0;*7d~+OQY0p`9+=J{_-_6vYZ*qsJLwv;`-XJbR{KUXn${EtG zvoMcAg$F4O#ilKcjW>cLPg#_hRn{6ADrE`8Hvo3bR`N1Ig>?G85x64NJq0|ybT(#v zs0S%(RD_eq5S|NGC$oWv%X;9m$sx3Vt1sV?Qlrwv+bdQ7CbG{hiR7D4PBp`tEYI`pc*~5B0T`pxNh&gmCz`6ux!x} zyB{H!Mqj1sYp9CUi*|8ks*83}z$@E_FpFA!@@cJwDhWe*Lbuk??OcbhKxU>gW>_pUgjS|jT?QQeCOb68 zEI9X(HfqU;^1xL_sK*p)e8JSWP+m)Ny;NNP=+V(sbDQO5z?G%`!Ih(MQ(Ny1xtdKY zj%z%#kxJ*`_a0L4wqr@>36af=@a}PDCmE8L*A%1C8nrkl6OM(qj6ph$;r$Uy01VqI zj?qiEJDxS)_eJyO&oRWKxw4g?7A%KeKVtdOtrS)>N0vDN24-a=B5m|GQWLFMaW$v9 za51f)$M|(ChL=%p|8N?-5oOBz{@tTp5xEwzgc!YDQS`S1_xNup`LxnAJr$}D2 zk))AVOX#+5CeM2`nIG_33GD13^Wd!=`IXH7`FYtp22GZKd< zieHz>PQ4^XAiCALgAwc3ooXH+)1A!*O7<` zMkK-xjyOUhhLDE=>U?pdoehU7Lg#MO>hcJTnHyqy12-KV>8ODeZPdFM0zlga- z*;(>rykVS|zgK5Q>lwS0K=tGk5_iLvddk~DHeT_;ohs{}kn6J7Rbla)RhUaKi^PAm z4!Ow+NINLNAeV7N{*UcVL&{5c*v7v~)o|xb8Yy8eNjc+q8{6T^)igS4JCHqJ9uCV)i+L4%-M|Vf&Wqj!SA}agI(D_s)|<)4H&Guk_T%nER*rbqhNkBJg40U<`dW z22m#zx2Ed#I7h`(Q3@)Jw9U_~!Nf$zeuRV70vM$gLmf|sB5Bgb6yx4jeYt?szwBd% zLpqGl1fm@u()ScNkeI38;(GZE0mGoiZw)qoe%ElToFhQ(JUNL-Y zlLbT8U|mjH_(o$9-`DadaAh!+%Xk}QwleWls1ODg+%sv2rYf3jO10G!l-VP2F=E4oNv>(oatncvnC*i7!&{oV8( z$=-+a{i@@qVw-P_Ah@YxLz$#VkK?=)>Xe1y`+n{2ctb$LHP2JdLh+}Is0JR=kOnmj zS#IT1fR9a;m&j6B?pPi{(WArQR#DT#1}1*G6#3s(FZfRgCB93T80C z+)p$&sZrj5y>?cNA=@?oy?b)=E=tx4jkEX>fi`N)F}G8)nEsw6j_pDig;bsskp#*~ z(s3ZCSsR~+Zz-_`n#Itmt;Y)3~OP&%1MCi3kC((A!mM__#7Lo3_ohA$S`{T0KR!feE2+!}`2#1lpHw&s&82=oh0Pj`=yxWi3@&y_G!nz`?B3J2j zFM;2Dv#904xBf=YI(anfLBCfcP5R2Jiq$U;<`*lF!hQCPijuKMD>38tVraivuiPHv zsG4+Gcz^VVrZUFnSq-(T)>ch4g<7wc3U1yx=@c7OwR}*$UxqW*T6(<76SI}rU;=4I!3 z@;S5R4IeOrN;k$u`ictz&Ua^TK)r5@URfHi@w{e{6^hT*8M?^xNvgrlwhjB8<70&; zOM-}JN7%0oCMAM&8AipV4b&l5s2s0&OBjVhvcYHTz|eIbIeO^21CMSy*u_0N#C5>7 zU7VSt*hW4$dNmwpi5U!W{WS(-1votssgVfKJuXl8zy}TD#01|_TZQz90#k8cJ)G$8 zA>XZ^L%!CRE<~EAFwVSv-lp;pF<2c059Sj9N*&jR&cc)FU#|fsiiyAo1d+IeRm0G} z#VJX;gr}n8T8aTJN@@vS4;iPR$8{ zk4{MnHg7eRWiDD+$0FC*nlG{~*x@GF?hBMo%%ZGs2xN~VkN~S971-ctmR_kQ7?(93 zxMZw3e2qJ{$W-qFu+0rG-hTD{wa3%2i|9RP(r*Hv6h0NcpdCF~K^aHY?RFuHvCanv z6VKaYs5{-9*0T5DV!2Tl%cl)&0!_GVaRU#e`P?}>{nN0o;aLksRGCC)ugWBAD(~cs(X}pF`O~8@9xH7mDZ`6FR!Uj zjXv%soR0qzBiLtFHFh*9mnPlxg<y*Kl2lalYNb`^t*tB8z!bIRRQ^H-@ELfX~n z4S%vf5(+PkS&+NhKpB#wD;V{PO3C~U)PV+E+Mg%Z2y>)Hx>BXU|7BCbow~!y7dalg z(%={2kW2V0jmX?q#Xv9ak!Fi;@pX3ROS$xGEOVU;o1Np65ksq%{|?&;Hcr3KVA%GuJN z^ivV%8#tq(3;kDY$QCGaW-?>8a%Q&Nijt5U3+dba8dc|7!$XWXw&qGx;WY=MM{Bhc zHv4cr=|{-iAZ(2(Q+})ivBG|zDtaaN!`-thxSv%N7#I8Nloz}hl|~7?at~&VRgm9v zyPmCh9hBL0x5a#J#+u?nR^s-#drvrgVpKvHuj59*2U-;oCQBhs>m*jl!k*EU*S32z z9sR8u=)X$G9@b4Vem(gBI~h@A+pBH&ky6VylJ|Mx0(*~J(XU1F8RqIi+$XIhz3n2f z1ka6t$5uaC(at<#+}@OKe}A;H2j8d}LAo|{Z{bFuUzmg)S(p#k?q^&8*VrPVTUZ%8 zjD~0IZJ+r2Hi;GLrL+$Mo+B8XFT#7f&+MmejgH*EkE;Ni)3N{PU2xh1;XUc zktFT+b?_nwKNAW(q+w7x_vo!M$Qnjb@Cp@E$vW9bb(24@0{+%8h~9F9Ng8+;9moo# zu%Z+4XBvT&)ZPIB7D+nyK-zj9$>=;&(~LEAcx`(B5O@1gVK#E#MFZJ{O7o%~p*Bl7VCq5m&Cfg8%z^i<4VkzxQi)rDrx8em5&(VPl8!#9KO<;>Wun zEu^S{jA#XSioWpx4J5zjQJ2$tS8*RQ==sq~k0mOd<6c*sT;G4UGAIB3_hopI?W#*B z7Jmtp8fxvgQOQedgXlj3D|d2XE07HpNYu)LZMuUz-W=&-_5KrU5BB6ANiuli?n1!tQo(MA1x&Ud$uVVIdg*A@)n{)R0 zAL;HKxV)dQ`Fe8;IsM>X4svR5$HjQ3tKDfH|2L*ycCBLk*IJsN+&|nTI)?9mR@>kq z{{d3(Zq__pXb;pVs_c-3^T?)bWI5QV_xtd-Z;|NSI*=~@vWJ8xRr?&H5vuU|rB7~> zCD^25^@9_Ic@XdpU6)4<^6(J((nDdzcR#TQtT2E>?E@4n3`$#X?pT)WA-SbfRyS=r zOc_U=a~#N&%Dp+M1*R}F^y@btLz{PC^G?i4H5CWOHN=l}GxdvQv!>G5Lcai4xIs`y2yc|<#)A#Gh3k!?pcwu%KuD(uL1@Jc_+LfI+mua+h_9}S<* zkBFK7PjxP2gV2(uUM*RM*df~uIQ~HK65}I8x%Zt!ub}B3j`ijWI5DV3v%#aS)BE4L zpc0;~9}zn(C3{9Y@VmKcc~d8@4^n>w4e}!Z zMvf%;zONf?^fh-uevyKIW)&L47f!syKcK1rK%sI~{{D$<`3uJ3Q}}Rrph_2j@_3}w z-On=|MKM0Vc4NyZSq6S~X1Txwzz(R7Vznd2ej>ZAn(Z!+|Du2Wcla4|gnS^f@|NTs zQrIZ56Z>~n{ndBr4n`+>r{PuLF-|AD)B@lnXec>q`1s#0?)iGp&=>i?^a z9x-ODGt9g&L>B%7(L3NFIYtYket+Qhe}U_JR^KI&%~%=>76zYlNmTz}dlYj2>{Ja3 z+b496`g%B!XVHb)H_E#?cX;rie0ptdDtT|-k-g<-!+>jVAx-;``W#3Jy`!3eFUb8P zmDQR>)Qel~SyYQ}`Tb73#QA-%!hAG3EHH|G1#7B_1eK}9q4jIoQ2_J50}xc|W~mkA zoa~@Sj9-t?eFQMPgHcqg20N$t|MJeM@0@_S-zD}1r`aQQj{{JYW*fVgNONSt!dN!q zzeIZYaP1?|`7};|>Okwlk?|h_p4Rg}$!hm+Jw{zBX6v9^h;#fG1m*vO?&mabwe{~- z2XGYtK%fnvcQOCuLyiD*L}7S7d_enWADR1{(0QUupP&Mh1)d%#{N7#x6#I7*1*z=v zGnK!s8!e#Pk=_yLd=sg!LiQtCrG;apwg6E=OPqgA;t*~JpkWZwd|P5jq%?|T-@Baj zvs0=WjFOzJdwqa>d-Ic9hmQK$8)IDXTs1UCpg7t|Hu7Jy2+NI~($E#~o9RY~327(p zx*Ft5_|iHY(Tv<1Megh&X=Zgxn$7W%3v*@PrY1Z~x8}DjT zlJ;4Ykd5#{Bize*YJ57GrS<5paHL;5;UC3&+%2p4yoM(pdMN*C{-9G<@uMK7iogD& z=UCVr;J>;5kyyonxAO5n5~8qs8#PIULU$4kSN?)Bhb!7$P}G(t5!Ppv|5)~9R;i?$ zbT$4hQgi2Pr0n{BY9bBfJKJpJgxm8xM9j=+MM&BKw$3_}PEuQyN z;b|V#Xm3gPw@P# zLM8ZXvGV00_uizkx&KlT=Anhp{Fna0lcMtk@T*-w$=_q)*mvkWytgJu-u8P_oc;~G z{AZf_-*DWQNGGI4^!$G^5WXNoaxS32#K_rB{ixM2spY2ykh5P9qP1nTShBpcX59zR zdpVCRGn@caFz00DMf4xkoz%kr9gE;cZP#ryMA_J2@haS>ivj6{1}sQ>nW{;!G5K_Kf6B$IFf4cE_fxO$BF z1La7PN6W~^08^y9k`9o@GDxJ0e!<&4qb)eYzyiSZFXX=sjenoUiTWD9subwP6CLS) zstZA9>^q^nl|A!LhE^dbra5XfXkv%lc_+CShLq-ViNlB;aE zg8RSef=Dedz8}pM5fhujkS;7WKC8P2yE+&sMOYiDI52l`^p3y2Q<~bo@U!?-xYJBB z;iXtan>`X<#~5OD@x6Y27qs2t*QOn7kt6Yed&m~)1vewV=LhxYJ_GIq97oPS`*!SA zpnw=9S(N}h-8qr>Xt4rpD&TMeD=MP{`H)Y0=RtyDvc_Lh?AR#1=hclM$tgE}`+yJV z&SPD5g4P_r77C`(tmfZeYJZ|@rwJ(fV%zop5g%k<7xd6YVpSS+{)3HV+-;%4WGr|3 zfuY(F-0cNp)B+65EdV1Ib#tIs9u-jQA#EGg3flgp)d_)*vJf9seMDJ^m8CL>*l)iq zF!ZBIasa3=fsVKDjwUtP`|$5Q4@}pA#yO$c06~Wjpc7nrTHr+X9$yBK9+XLpV%_M( zMgDg6jxT|RfM2{E^$2BmgFnV9dRKtM@YC#lFc*!CZ;S3G+MJpH zBPr1w5^YDLjm2YY(uA?5RPP@bIXE^C;eBKXL}Bug{$vQyo$$_sCm|<%Y!K(%_pWT8T+ze+nLfsA zaD+oH+Qr;**7Foc=6|@DjclDvj#~hJ;UC`>O*Fvj10?D{Mxy512gyo^*!~l_i{?J) zqPkUj*nf8WZA}t9_p-Qh+;1ZGcO4%a`qJ5}p2edRG5qxJPJ$L=y{_xNpFT}rWF*_tzSb(pSmVc98KG5u z!sZpBBkp{cf|n&c3%jltALp$=_Tskcf4~d`2g198WdM-XJ8@I@;_r(CK9Gif1;g`2TLmO(#EUOKbznw{QZr7%@6sTwQL*i zDoE|>@_?h5)Lx`d^;;&mQ0R!86W3+8Bz>FPMtItBW&7!Q`;&sy!8TrjyJh8%QDXy~ zo32^(dtTT0i=cG(5nP7LN(<1B+Jns9a3GJzYr8RGK$j?45$uz?HhKZC?-nl=v*>$Q zCXN8U1miq%Wh9U$fe#lJH+?H=EC|pOQL_5MP6kBZnNyD^NMj5Tu*`#mUcfSoBpOf) z1b!LyH-6|`o`iFk!}ED>Z>$L@X6&~&AEKJMm^ErD&tWR_P`}UoFDjIu-YlWkmgyaO zbIhCa<5H3_E@ZZrxb9m;sf(O>?g>G)4v)W_Ccu4Zb_7xe?<29;rL9!bS6)N`hF&Bu zzZNBNsbu<0w!5~Hw!tesXveH&dEL1H0cck}RDBL#aME(Dv>#w;WHxANUp1hZ3A}iJ zJl|)VM#{>*MfIx$X30Q7!}yB-7lizE{S=XGudUeMC(h}=sZ=_dwyP-QzhWaeXG`ZU z;$BCOEBV{BQ=9FcbPdd8^NDMpq4u8(=;51x<;v>c&J|Mrz+S>QfoA&L_Vnt|GHPxb zy~FfJl_`3WFm9T=_vz%4Hv6|vX--mw>L~d4gq;uX{B2;MVXkjAd{{dCKFke%Ig+wg z3kE&IQZRsdWv@?NUHJM~eKE5Bk^80ayAreuSC?A+o=gXh`1`|L7bP%irl}0W=^Nan zl7}9_8piP3$%+yNwA>@+)j&Gk_iD_msq|qt;$2>L&4}gk5PC$n=ZjK4H(`+(qGvjT zORhMVk6s+fVpG%(TF_Cg<@xjFHgw9fJtXrd+#}!=PB^?dWuu$gtqjRa)`BLV#`Agq>v(aw8e-F$288TOtd8ICqqTpm7OqPXZbQ?) zh|TjLxw;U4G)n=RMMk+J+b+EGQmetX;6FtQy-2Cigq1n%_p&TYJjl+~bG5vR*9dMF zkNAhGcy)L|Djf<1oLUh)m4oOQ1qWN^Wn7TO#qt|F_A8TA@7Q0_vU7ETtB2+}AMiJ7 z_|L`pu}vV(V$JuNXZme+{P`qRk#GvOgtq0$+MwIr^{A_DLdtXYU?i$BTV0HT2$Lj9 zUVu>$wF3hyl-UbVW}mOl?C&TPYGiDagO=3~j*tUitB^bz{rH#YRY?GO&=LcI8?kLh zG`M14T0N+tS5%JqH2CZ@5!*y8-IdcQv?!AoW#_8Fln?M5!5eI_FC8Cn2G?qtORZB1 zK}{g5ML4ZM8{fUFu*r^Y2L~v^Om8hK^Je$;Q#xWB-Wi@NK-K(`5k199n=896DU#Jf-=_ z5*g9@B9G~izG;h9eJ#}HNV=voO9*PT$FUrQ{>$!V%;iz+(3+hL=%8Z+fj0DTPh=n_(ry z1hQ%{G&AW2PV%C1e)d{EpZK;n=9`c}i;yS+`kN5}V;RH5PK`*&jtB@Sd!z|WUY!{v z<#Qxu50cQ2v!0c?&aUe6-OF{oP`L?+fM!D$nIyzQTtVy$7kPDYTy)>v32fG5(lOF! z3I{_ba`bYam{)rU$6orUMcc7mVZKc}7kGvcZ9qQk{YdsYUS+{PyaGF*;K{rJ`sb}Z zK?fzwyy{ac;2wvMa;?B1<`qDDf38K@NV@0uyE$lQU%g=-cI5#6Rjj@=HiZFGxNYl9 zqvw(^EKgvO`ib%MwHy5a+PXn{BNVNb0h8t4(z=?}0XsMVlJL>;>`bqCl|QhW zw?X!rGw9+y77J{n{IrCF>SA9pdxEGflIl_gy6dfi9mw6IpNFCh0=f)G3Y@LOJEzkP zJf8i@Sfu&o@S6}IUv4r|@Zbj&rzbBgTE<;IlxvwkT;h7z;l)HAqK`5I)b`3f$FF`H z)q*B3=6hMUKnM!tMLj7Z?r)Srpp%nCoeZ$wNGFM1Zlsg5KqqPQH`d9JQk)|mhshj# zRNIi7QaF8xMNv8UMkHM=3&ml9qsr91S189B49d@q%rMne{-zk$IBff4(p4ZT&OHB0 ziOeyn3j0Eu)gV)C&o`p%Y3a=F2L;f*egR<0izS{Xw?CDxX`2^VqXs}30Qei^qn(d9 zrmI?=x*u}C!p$R)6p1iyw0RBZmWiV5b{R)GhtO|?7?(%ff913)5kMx1L;>@Vz({ZM zi~qQ?C4ef(^bmay=(Pju1Uwl7DOum0LBz2;mp~kT@jZ_IED-OL*q|*F83tJ%*ubs~PvfJm zAbLYzjmrw{{{#O68oI-|5p@_RA&S1gW4I)aBKRX%DtcaR)GGO?ByShCmuL7gq( zQH8b+=(1+dIzEEST%;d51U8VHa1aF?Qph`9kU}ytuf*SyLduEq9Bi}Gg2IUcBt=K+ zasaPG)*7buem4LHLMevt?|>7oPjVxToqpY^LEk5FNqJO@=$ z3cgTuk~9QS$%J9Hc@km^!9-J(LHw~va zOrK5)X%+(;EJa_sOuL(2Z-c{LOl7VBwAjVSUc5?_=T5w<`@usl#>(&zTqk!{PvT@- zYe+}7`76{6PWGZ%_E-zsW2H+w+wUU7l9B^Iso&IQp+_U(_f*o;pd&st@YvIo&c7|% zyc;qV>hWg;?vHZc(+pN5-lZ8Vkd0&w7jRB#pS^TECTKtk)=zkR=?)b!%-dv@cww1R zOecOizG8X|msw_j@413Y5)4sc5kOyo^J@naPFSOA!iu^^4#jvFx9$9jlWX7|m-R0y00Um?kz`C_-p4n%D2j>m77R6R z;UsAqsTgB`J8sd!8P-)iatVBKu#aC*e>pB*r=tMLwJoG8*~u6l8UET?tKah!HnK;z zU*;6HFZ)Oha)Nu(_e{E(!mJ7(^3TcT@qplf2-(nA=Oj-~9*W@|O2r$agrt;^E~6&$ zT9kzOKodiELK82V{eqtW|CS+*jiFAu^vshawyBO(yd>hqp!gPQ(!jFTm}Gao5Ot6D z0Jmy=@5gYtJZb-OKqSnw05$iJJrgjPQwot3T$e&rjkUEfv8X*+a29mBnsjF zFa2)wCuwBizk_)T4lfazQm7NrjYhEUMX2e1@1ednNbmU1*jegjEnqEOL}05jD$4TbRgD``$oL~eCEX+jY{XP&CKr4|9BRBE zLRLE|0@*17&WYd#8~C9{%o5!ZPKY(Fj2Ztx0Bu9cGA$5bo85IHyKA~~=4z2&jaxY= zu_q~k&s#HjTW3a&^kg^%3#7LExIsc^iG>#BuKN98Q=!4q8`BBa?_d1uO*-g8#E+2> ziLD4LIC|3BHNB5#4;2rU1+6tIz%+y*SLgjwrc_ujH&9^Qzrj}2E5xh+jkqk1V9lUG z7Z*aVzr^PRSU`9k|M?=(06^CBNJJ`uF%etX9S1Mb#}E-S@yonrz~HDAnvzRPQLm(LiY%6pW!_?tZ1 zaiWXb1m{0#?Ek22`3qH~;DR+_ry~`c z{|Q(#=Gnk!T4&}lQRH;JLM`vC$JRuyFHEONA*)TIT5@?{`_9UtN4)g^ou?@F=%+`q z($N>QE_Jx1+d$Mq28+jON7e^5kxA}WAUq8DRz`ggR1q)`B=TfJhQN)*dx>NJ1p&Jo zZXx%CfP4)K1)N(E@n&e}Tv3;-uexN=R7YE=qdVom4K+xYECd;@*&zjvglC41$Rz{3 z9ui)~5gHh7a1e0;`GBN6QLcLx=RLlOEC*ueTD*I=mSts~E(L;U7Dl8iroH>V9Yb;5 zTc#4CAT%%;l&U+)d-s;_xRDA}|!-|68Gf`dBw^(8YzQXOMXkV((zHkKlY;5s+T#E;_Nr7_Tr4HTy8WL);!A>pCQe zeT~R@X(Szg2QA?i`h zW2O;YA3pMZPkWU9{8@~Dd}mV1WRLLt4;wjTEB;SVCjqQ?F!(-K0kav3qkUi6hfvDX zh2s)0G)ji(Vg!^h%)*Kfpp!5lPpu=9@fETejy}CJ9A=s2Q}9pa+}C)WKf>UL8J7hP zS_-8s$Pi-zpf<)LKl{-i$~0>mgPWk5`90FVNT5X4=A7Jgq=j|{gcA7jYrnxg&Y91qzuVAh|l>&G{A^1#?Zj(FB# zuCf~=>k%RdzqD&%KIlcQT=2vuF+opL6k|y74*5}{B_(Q@94~=8hf@4v^o**6E z!HTc)jQJW43@`u~gC9GG|P3NjF zqZspLaFlfA+)y(ng^-0v+F8E{!c&q*NYZ?6eTpFbHSv#(KL|^@ zmh()K>#Efup`KepnQf(W!@oyb-ZQ1z*gO}?EGhO5^H1oA+Be(0)&EXMo6TgDjhy$` ztoYn)#5Vn!$r_uY7ceuF!@MUxe?F9{^H2Y*y6;xAp_00C=jl1&QcsW9<>MVV$L1S6=+R)jWcSn>dT_ z42gy-YSW$Ihfd0VWN;LGM^Nm$uL{u?viO9CWn%h=}W_wr@X4cxd_Q zn*xp6)IGu(dh1`iAn`{dMcJLErZ$7DiE|g6a9wv{OvL8VS?bW?B#(#> z>pPY1Y%r*?ZIE>8!4K&2;bk`kWYo2yjBi`uBIFV8PM%GNFMm+o5~i(3C6*k0Wb4{4 z2ew<{=uI#A`+1sy8h<+X$EZ%1Vj!XE3P6##RcO)frf=-zmj@5^zz%M|gE4l# z*ohkFUlFzgh%#_Y={h}ns=9Zucuu*BeDn{Y(RqPI+eKlQtYQw>V#F6`w{-nxX9ZYO z*1MCouc%E8-e%^Tu*5?v?S(s1$kJ;s5(tj5wD#FEw}4epT{|~2rS%U%^BZ*kjHhh~ zqn|WY()z=rVceqG&u?9kpTcFBMiuu&9|3e>337MTYF8oJKY4?8M<1@1$P1eyHPTF@Tx9p6HPi+_L6aK*X05rOOT5||#~(r6njuqq2J@!S0=HEiol&qYa|dZ0SnPD5 zBVL0hwCN?htJTPd!DZJ<23g<$BF-i(V2uc}`3M7&a!LeyIS*xWz=|c$gbb*F1i;@{ z=_y>e<6ZG{pMdqKz^qTZ+uT-yd1ds8JOJjqe!!~1&RQPe84%EX(IxsMRDGj6I%@y} z6@4ZY(q4~cA|{++U;WVCYJ3X&>X)vu>!Z9hnIdqPCdQe1&_j5ciI?bTaTq@`3fPyq zMNtJ~uF7I395@CR5qq#5Ce8^PWTgb`exAVyN-PF&fgZq^16rN}8;py0{I7I>r}MAzycgcbQQ6C= zB%F~!Go#>rS^js#aqZriML`2$6!!oT&)|@0K^!E8D%<<-6aoG3;ra|K!<|N#pGH>= zcIoX+FwR2*rQaVp_I_=4Kyhl2>I6|D>)C!s!J9Q&>K>)5gSRbMSoB(DMLMu^^f%_~g~pr7>!?rwAQcp>gT7f@q0OJd6-6HbY=Vmj zt#~R>FA;}Bbxpclrr<6lR)!K+PP;O01l1&gDPkj-#{J)g>3nIakc(_a;ap8j{jKxI zS%1asWWA=MBETOOypvuWpIGr~x{p}{HFO5mbU3TzAFuhQ?(yd}I9xODP`<}dn_uya z8$PqJT!YE1qXQ~;CD|u3DF8OWN_La8>OI%ON{SIm zWjv*3tnydHc}fr-z3*v0{;<1qg2EuAsYCi!YS-DE8-a}$_RW{0D}|!PK6*X~Gk9zC z!1%z&mQ%uycMRW5xknWdtJ+)qgJb4Na>gbj9jaF)r^m#ML>;+LYK2f7nt0bl(PDpj zZd=4|oBeTPYN7|u6n|0viPzpOYyC1;CF5pTI;){j&Izj-HU!?nbj_Kbm)t>BO$&p) zvxmVL7G~<^WoJ#8V!ugCM&|+MlFT}fD=uvewYmM@Fj>Dd7_}efKYnKOu$5MlSsI1h zo0?TqE7WWB$3^tCZ_pS0-;HHE-yV{rj+eP6;jTfKJy-SdVApo4iQbk2ThoQEJ@Dgt z;f_CDldrNryvOgE+ki$?tmB})=tI-}xIh_!jAFsGIfvPC{rlGkDMy{rba{8fkrxLL z5Br9=gc6>r^ghh&ln!f8K*tC3gxq@n`9#C!k)Oi0aN6p-4V;JX^(aqxKD#1#=S;3A zn^pr)zhi{*FPpyiTVVQa?(gm!a=i^h-}8pO9#S$@$q|zG3_z*-Ofo<`SiGh)}kT(!Qp|=6QA? zlh?ym^8_{fhqvuD**}F6O?S6upgc{^wGUG$jLO`m5@h`8Ni|V1cvYFgP*YQ_Q$oLA z;%dV%et*h-#tw@??@F0b$^ti~Eh9K3RdbH$_j$*pa0mG#ZW=a4{j^g3nQ^433z>Vi zI!fSWTzTC2ql_(HoI8fRx+Ep@9u_?I|1^0#CotuS9slurqJyTl<-_UEDcw4FjQ;_g zJ26YF;oXh5@Hg?*{{rV8Q+bhRmb*<#CKUJ)*(zN0_XB*(Y(gw{e_FY+-h_zIQS1eKhs`J1^*We>;5m!&n$&Z#qR*!>=q_+lRsrDEL{l z6a!CJb<(~P5EBTfI(uVJAaje_k;ga9c2)g!*Jk%+{u6U;iq@Rpv+-8l*E>uCwFjd0 z_)wdUUU!_P zbXnSa9=T>o4Q76rYwP4X$y7Zd`{OLbBlaBasTmWx9!JHP8;$gaGODMalsF3_Dw_PG z?i=YKXN{SpLoalWPJh(7()2i!>5Lk@Hq~7CEseV&Vw+XV&#im(dpJ7A(}MQC{k&<< z@#mkljcwoW`rF`|L#E)({Q-Hq<^DF9zKi|mq@wqYG+N1>De)gSY2`bG4nGc%XFK>> zS9_xQGAm0~_eXsuW1%Z8B0Yz1)NXyS3sT`T(Sq0N&&fV) zrigxcjLqlPt2>wPUO16&NpVj{y#6UR^Hf?rH8mS^qeN2G1<$IsAA+n#Y|Oe-2C1LV z#PUCK-5bka*L<3qrC9CnyCRovUpA+tJYg^)9WDRyvzPQ{_X6p@ebV_(Qe}Eye;UwL zxr;X5xu)>-f$d3J>)XkO$24!%`~y8=l+st{VWxIek|LntV1fvT+TZ3<)YWHlA3cho z+s*grqz!1@q1yf+->`4Z+0?Pu?!T4e(s=XH&l|U!X3Wj@jG5Koa<6A8T?d=qPhJ9&Wk+K#U-Vdb1?L_)6NA zj(3qmmiMgGuhz?b)i%+bKz`lPVMps2`&8KLG2K{2F#}TBKvmnm{)09@Jz8M5Y2bN7 zxS?tbtAe_rovgpXd1L+$B9ASn)P`GjI)_9`^xgfqxnaWh^sng>K}$w@ZJYDMFMKGW z-92(k)u)hr?HGu+KDf#Pqoc5LwA6HQbaIujbab(X{1jg@H3jl64B8v~fBL`RYi+7; zB$>Xcm z_I0zx>t6-mPDXd~)s^ESI*4Ac!c(`9BLST6``#T5h;0A#xTvTi#5&n|xOc}Eapdrc zo!e`I_teT$S4vJ;Fx{CE6HyZz+>z>a<=&I5ADs#Mmu-TLEg1q-d1MAJr*Vh%24A;O zYGTsI!GtC2?v_zUoj*Pjb>Q-s`I^5=q_i#|A`c9@<;YsA?u9Flmp##H%(t(v_U8PA z!e+*Wruu!=y*;Q$sd-zqESQRChkmQ>=|~}GkHR}MSz$JLm|GsheA*^NC+)g8Tk7hC7S zyB|ls=_5-4a8@I)`-;8T3jnKgR4^DbDe}%bIsJd&E!SFnY>jQRB)ohmXrAdf?)a(0 z@91()o-n%9Xux-V=+12Xl@HgVbz}SU2a5bH8?-*0lKq2nntyntS;qNgnK}DEsW{*1 zQLpK;>VpqYi3}?k#>R{wcWvf4?`o~L{e_8XQpv6pS6+838c}WkrpVVb+l`3x?t7(7 z!>_P~O)4kyle#d23&TS?!RrhnA>$9P$c&3#2vTQ~hN|J}VQym;t z4ws)t;2ZWo&*|9WQTgw6y5N*=Q`rQ^Q*=~y86s)7Ud;@6qtPdlFph^QA*@O^C`7u|iIuD0Fk0jud|HkK#C zeY@?`O|B$1w0X4sHk09ro$eWQozq1Pmeiw$@gZ8qpHAm>IE_f^Wlk9yT`qGzYgrp} z&*@{4uGXJ#yWiS;c-TS)6iwnVhlT&isSu_N_`%bWI(68TzI? zRtsb1ePf#IeyGrEe*kDA+$kvcfOYEP>NWMo)a_sZcsN+su`TC!;mqimBTzX9H#1!? zCu>&|r~))qS2mD$T2gQv+^z<=ddrFiu7NJiT&(R}CB&gm@&{Wt&mk#6&voFo9V;I6 z17iWJXyUUTjxM$qj*hla-)pw>K`z4H3$zmj2EeqUomXIi4%#7YfqW2|E%Ku`L3bvc zzwWcp?FQr-rdQ}7?5M0sw9+suvUC&utySXk*i0}iUtu?1p za8h*-8))n~_{FiJK?zp!1_@0`tu?ImTk!;0UI@y\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
X1X2X3X4X5X6X7X8Y1Y2
00.98514.5294.0110.257.020.0015.5521.33
10.98514.5294.0110.257.030.0015.5521.33
20.98514.5294.0110.257.040.0015.5521.33
30.98514.5294.0110.257.050.0015.5521.33
40.90563.5318.5122.507.020.0020.8428.28
\n", + "" + ], + "text/plain": [ + " X1 X2 X3 X4 X5 X6 X7 X8 Y1 Y2\n", + "0 0.98 514.5 294.0 110.25 7.0 2 0.0 0 15.55 21.33\n", + "1 0.98 514.5 294.0 110.25 7.0 3 0.0 0 15.55 21.33\n", + "2 0.98 514.5 294.0 110.25 7.0 4 0.0 0 15.55 21.33\n", + "3 0.98 514.5 294.0 110.25 7.0 5 0.0 0 15.55 21.33\n", + "4 0.90 563.5 318.5 122.50 7.0 2 0.0 0 20.84 28.28" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#import excel file\n", + "file = pd.read_excel('ENB2012_data.xlsx')\n", + "file.head()" + ] + }, + { + "cell_type": "markdown", + "id": "9ac0071f-34cb-451b-896f-7ad6d332df16", + "metadata": {}, + "source": [ + "\n", + "(i) Perform data pre-processing steps on the dataset. Handle missing values (if any), explore the correlation between variables, and identify any potential outliers." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "bb73a821-ffc8-468d-bc27-fb00f969d6fe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "X1 0\n", + "X2 0\n", + "X3 0\n", + "X4 0\n", + "X5 0\n", + "X6 0\n", + "X7 0\n", + "X8 0\n", + "Y1 0\n", + "Y2 0\n", + "dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#handling missing values\n", + "file.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "id": "6ac11d82-8a8b-47e7-93d0-003cbcde644a", + "metadata": {}, + "source": [ + "no missing values" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "98907a76-5b5b-4e48-9787-7c882649bb40", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "corr_matrix = file.corr()\n", + "\n", + "# Plot the correlation matrix\n", + "plt.figure(figsize=(10, 8))\n", + "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)\n", + "plt.title('Correlation Matrix')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "631eaf93-6c66-4805-9506-4d0d1e84f4a4", + "metadata": {}, + "outputs": [], + "source": [ + "# X2 and X4 shows negative value for y1,so dropping\n", + "file = file.drop(['X2' , 'X4'] , axis = 1 )" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "50aa1ce4-1982-4236-a5d6-0143513e406c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Identify potential outliers \n", + "plt.figure(figsize=(10, 8))\n", + "sns.boxplot(data=file)\n", + "plt.title(\"Outliers Boxplot\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6ea460a4-7aaf-4cb5-bec5-6fed3e9535bd", + "metadata": {}, + "source": [ + "\n", + "ii) Split the dataset into an 80:20 ratio for training and testing using the sklearn library." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8bec6ace-ad7c-49dd-8fc2-16686100bd52", + "metadata": {}, + "outputs": [], + "source": [ + "# Define features (X) and target (y)\n", + "X = file.drop(columns=['Y1', 'Y2']) # Drop target variables to get only features\n", + "y = file[\"Y1\"]\n", + "\n", + "# Split the dataset into 80% training and 20% testing\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "# Standardizing the features\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)" + ] + }, + { + "cell_type": "markdown", + "id": "daa12ac7-ccce-4dc8-89ae-80dce28c8f5a", + "metadata": {}, + "source": [ + "\n", + "(iii) Train a multivariate linear regression model from scratch using numpy, pandas, and matplotlib. Additionally, train a linear regression model using the sklearn library on the training dataset. Also train ridge and lasso regression model using the sklearn library on the training dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "39c81630-8701-4862-825e-18a490d30429", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22.15503257 -1.39118171 1.59288178 9.65507366 -0.02454408 2.7149263\n", + " 0.33619866]\n" + ] + } + ], + "source": [ + "#manual linear regression using normal equation theta = (XTX)-1XTy\n", + "def linear_regression(X_train , y_train):\n", + " # Add intercept column to X_train\n", + " X_train_b = np.c_[np.ones(X_train.shape[0]), X_train]\n", + " # find coefficients \n", + " theta = np.linalg.inv(X_train_b.T.dot(X_train_b)).dot(X_train_b.T).dot(y_train)\n", + " return theta\n", + "\n", + "# Training the model \n", + "theta_manual = linear_regression(X_train_scaled, y_train)\n", + "print(theta_manual)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "3d094dbf-2cdc-4c1e-8964-cd66d2d7bd61", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.1550325732899\n", + "[-1.39118171 1.59288178 9.65507366 -0.02454408 2.7149263 0.33619866]\n" + ] + } + ], + "source": [ + "# Linear regression using sklearn\n", + "lr = LinearRegression()\n", + "lr.fit(X_train_scaled, y_train)\n", + "print(lr.intercept_)\n", + "print(lr.coef_)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "1b73a3c8-96a8-4d52-8fba-9fad2a8f4c6f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.1550325732899\n", + "[-0. 2.16130156 8.24667298 -0. 2.63576533 0.24724018]\n" + ] + } + ], + "source": [ + "# Lasso Regression using sklearn\n", + "lasso_reg = Lasso(alpha=0.1)\n", + "lasso_reg.fit(X_train_scaled, y_train)\n", + "print(lasso_reg.intercept_)\n", + "print(lasso_reg.coef_)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "d2c1355c-dd4d-4207-99e4-6964387a81ac", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.1550325732899\n", + "[-1.24477499 1.66281749 9.4992238 -0.02604625 2.71116121 0.33597745]\n" + ] + } + ], + "source": [ + "# Ridge Regression using sklearn\n", + "ridge_reg = Ridge(alpha=1.0)\n", + "ridge_reg.fit(X_train_scaled, y_train)\n", + "print(ridge_reg.intercept_)\n", + "print(ridge_reg.coef_)" + ] + }, + { + "cell_type": "markdown", + "id": "019e1ffc-d112-4ef4-a75f-d7d0f92b7946", + "metadata": {}, + "source": [ + "\n", + "(iv) Evaluate the performance for each model on the test dataset using following metrics: R2 score, Mean Squared Error (MSE) and Root Mean Squared Error(RMSE). Compare the performance of the manual model and the sklearn model and plot the predicted vs actual values for both models." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "804f6cb9-7dc4-4e9f-9a3f-1893f5504edf", + "metadata": {}, + "outputs": [], + "source": [ + "# Predictions for each model on the test set\n", + "y_p_manual = np.c_[np.ones(X_test_scaled.shape[0]), X_test_scaled].dot(theta_manual)\n", + "y_p_sklearn = lr.predict(X_test_scaled)\n", + "y_p_ridge = ridge_reg.predict(X_test_scaled)\n", + "y_p_lasso = lasso_reg.predict(X_test_scaled)\n", + "\n", + "# Calculate metrics\n", + "def calculate_metrics(y_true, y_predict):\n", + " r2 = r2_score(y_true, y_predict)\n", + " mse = mean_squared_error(y_true, y_predict)\n", + " rmse = np.sqrt(mse)\n", + " return r2, mse, rmse\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "b13224b1-86fd-4c68-ae19-95537b76c381", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Manual Linear Regression: R²=0.9086, MSE=9.5263, RMSE=3.0865 \n", + "Sklearn Linear Regression: R²=0.9086, MSE=9.5263, RMSE=3.0865\n", + "Ridge Regression: R²=0.9084, MSE=9.5517, RMSE=3.0906 \n", + "Lasso Regression: R²=0.9046, MSE=9.9392, RMSE=3.1526 \n" + ] + } + ], + "source": [ + "# Evaluate manual model (from scratch)\n", + "r2_manual, mse_manual, rmse_manual = calculate_metrics(y_test, y_p_manual)\n", + "# Evaluate sklearn models\n", + "r2_sklearn, mse_sklearn, rmse_sklearn = calculate_metrics(y_test, y_p_sklearn)\n", + "r2_ridge, mse_ridge, rmse_ridge = calculate_metrics(y_test, y_p_ridge)\n", + "r2_lasso, mse_lasso, rmse_lasso = calculate_metrics(y_test, y_p_lasso)\n", + "\n", + "# Print results\n", + "print(f\"Manual Linear Regression: R²={r2_manual:.4f}, MSE={mse_manual:.4f}, RMSE={rmse_manual:.4f} \")\n", + "print(f\"Sklearn Linear Regression: R²={r2_sklearn:.4f}, MSE={mse_sklearn:.4f}, RMSE={rmse_sklearn:.4f}\")\n", + "print(f\"Ridge Regression: R²={r2_ridge:.4f}, MSE={mse_ridge:.4f}, RMSE={rmse_ridge:.4f} \")\n", + "print(f\"Lasso Regression: R²={r2_lasso:.4f}, MSE={mse_lasso:.4f}, RMSE={rmse_lasso:.4f} \")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "523ae5bd-9115-44fb-9d2c-cbc5d828bc2d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot Predicted vs Actual for manual and sklearn models\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Plot for Manual Linear Regression\n", + "plt.subplot(1, 2, 1)\n", + "plt.scatter(y_test, y_p_manual, color='blue', label='Predicted')\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color='black', linestyle='--')\n", + "plt.xlabel(\"Actual Y1\")\n", + "plt.ylabel(\"Predicted Y2\")\n", + "plt.title(\"Manual Linear Regression: Predicted vs Actual\")\n", + "plt.legend()\n", + "\n", + "# Plot for Sklearn Linear Regression\n", + "plt.subplot(1, 2, 2)\n", + "plt.scatter(y_test, y_p_sklearn, color='blue', label='Predicted')\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color='black', linestyle='--')\n", + "plt.xlabel(\"Actual Y1\")\n", + "plt.ylabel(\"Predicted Y2\")\n", + "plt.title(\"Sklearn Linear Regression: Predicted vs Actual\")\n", + "plt.legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2cd6ec3c-f025-4cb0-81c3-d1104b00b185", + "metadata": {}, + "source": [ + "(v) Propose energy efficiency improvement suggestions based on the insights from the model results, focusing on building design elements that most significantly impact heating load." + ] + }, + { + "cell_type": "markdown", + "id": "849b83f8-3a0e-41e6-9ebe-005c425bf1a1", + "metadata": {}, + "source": [ + "Model Insights: Feature Importance\n", + "The coefficients from linear models highlight which features most influence heating load. Larger coefficients indicate greater impact on the target variable.\n", + "\n", + "Ridge and Lasso Regularization:\n", + "These models penalize large coefficients, helping to prevent overfitting. Features that retain significant coefficients after regularization are the most influential on heating load.\n", + "\n", + "Recommendations:\n", + "Glazing Area: Reducing glazing area can lower heat loss and reduce heating load.\n", + "Roof Area & Insulation: Proper insulation or reducing roof area can improve energy efficiency.\n", + "Orientation: Optimizing orientation to the sun can reduce heating needs while balancing cooling requirements." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 8d15f3566cfe4c009967741e44754cf02a22f66e Mon Sep 17 00:00:00 2001 From: sarthakshukla19 Date: Sun, 22 Dec 2024 22:58:47 +0530 Subject: [PATCH 2/5] Delete NON IITK/Assignments/Assignment 2/ENB2012_data.xlsx --- .../Assignments/Assignment 2/ENB2012_data.xlsx | Bin 76189 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 NON IITK/Assignments/Assignment 2/ENB2012_data.xlsx diff --git a/NON IITK/Assignments/Assignment 2/ENB2012_data.xlsx b/NON IITK/Assignments/Assignment 2/ENB2012_data.xlsx deleted file mode 100644 index 96632aae115491022718a922f7c9580ed13c025c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 76189 zcmeFXbyS;Q*EWbt34s=Or~t(&6bTM3THK*Xa0@QMB}iMeXp2*dySo>6m*DR1I_d9u zX4W^)`_5Xk=Fe~5tdl!(pL3u4T>IL4U;89Va;Rv8NEk?1NJvO@NI7vgKLe4GkO(o5 zkO+_#kaZ>OY@JPQoek97?MkI0kvM+b`Ja|&0UcX z%^H71v-0y_@Hz8WOON1joQSf#fS&>gADd&8l=8-;xhXwlVms}U%o)}o+8-#eERy9r zX%9oOY&I*)`qdhT^*yd$imPZ8v};Ru0+qs~rZszQwvb=xLpX`}zxzhLsGyV$Dmyd0 z>2D8Gc`g#1b*Bgj?HqB+m4^Pj!kT(r*z)9G41)r$@t@W?NiAw*`U*A zj-M}ynRqpxXm{#5+fCB-s@cduk~E^01IW27Ml=Af;J5f?oP>_Cjb%HA+#d*tw$5KoeZv3>!Nn%jq_vX#vaOCZ+9U^QqO$9ooX(PWwQK3n}C<3^i+SE z*wmZCb;@2R{FRR`1}@0<>1)Jc!>OISVKK_~+Y_1c#%tGyhy|VmV_q(j<$Hh1OZ%$& zjPK>b<5Fn|GCe(^A}RgfJhDoiE}KxoIey}tJr8OeEA$vOH%f?<`S9`)ueR%KR!4xI6tuSr-CMmtqK zmQs;xC>kK);9KL{q2P4?A^YO>uWxVAgJ+L^{~j|edFwz8NuFRkPc$YY-*IuD!tE23 zuX%Sr>1UMvHX<&-zL1Aj0Twy*WZh72E9d2~VICP@qSa$ZGGv0!|7~}KmidRy>+W9q zuYYJuI@WoEdlL-HDLPE#INkF->^aI>=h=N1df_Fbv|3U_~S%TH+z7fnd=8%AGKkQH6F6LT}y^n#AUQ zEpU2Z_@CVGB*uVtC+#CGiD@>7!}0USV38G=uV2ghLJvNH`~bCwo!#&be-4FWb-fQD~?D8xqdDUu=Hh>anz2U$B+(_pPyE`ekY++ibQEC z&1ZTg^pB02B+H-9P|| z$at)tYsnk3IqO+Y_9^p1er+kv1f@DVrG@ANaVv2Ck4p^FgW?16V7BT zD$grg&AP}PzaZ$)*@o%?NA{?COFU8X{M7o_8Xo4+@Yx6W*4`skOC-KQ3DE0Xc4_si zuR$r_O0#dM+7)QEXz2Fsq>s=7E}oBB|EYeaTC4&n*C*#^AurG6AAOYTB|+HWzvi@( z1>w_pgu>LL_^UGiv68ceDa4fhpCjjAFW=Wzw4?Y)*z)RxO48HLn8B4?$|ZlM47<`Y zbB1--p^^GXfvce+k&NL2x5{2zT%2$M=LIh?S7}1_bHFvmP6!sE*!No^C|5E;T+K4JOU@YaU7h4xZD!jZD(NFzS?eeR&hrB{tqLd!(;*5~apRZPaBv zc257nLvw1;XYZZ9I^9>SfQz!vo$~BzOxk){QNjRY_wNj^gX^A?Jl8m83JA(*y%Xg% z!U>J*I~5PK+|MAD61_ZLS;_2xbsUXW;NkgtTt2VoBv(#@T9YLKQT5BBJzC9w<@}6t zh9C>f7g+@+_wW!{;8kQ}Qigc7C>}E5ak3D7;%@qOCXr9ust4W}0MAp7P1vGo+ zm3?+P!61A`el(O`CDE`D>j5NlsMdaFfP5|cCP+~kAJ^U4lK2&MfqNP8ioj=Q2`1ubF;7X1L%0O&-JMVJ=~AcngpR< z&PO|=O*9dQOCt4GDOnpV^M4$aK3}iyDL!4FqMqNyl;{gyH&U{PUK=z&TyN2cFk^~i z$iMM;>|8TQ6ZUyLj#+AUS3)r$fhq-FS$=q3uW&gEj1=WHCe?I&hi|SsipS}qv5aq# z5OtV4f~=ors1a=ad>UGVMi}{SSzt{dqOeIRjEHr`>wOsIGVxYn=f^zcVk>=goU3jJ zrJ>JZp|w`6W;8Z$NJff)!A~Z5G5?hx#fPX+7Cqyg;dVv2qv4Z{~#= zNfgm1ed+M$8%9g8x)!~O-OKxz#jl8djyzZybe|ZyEY=_1>ZKFG=1K zF0f|0<2vbousvRI{gU|`0MB&L`qRwpM)!epZZjXy+_?Z4JzB=39Co>4m8En``;28f z*81F%oYupPrII~EN#KI_*NFj3gqxbkAi)vPwQx=SLhc)z!_ zco4A zlgx{+fE=(n708Arc7&p#AKX!IhHFkR(4z!juxtCZEldC+=I@3xvmf+qZI>FYGU z^e#K3qhXM@L+jRohP^nhp9rThL!N(eBRf+n!ueA^Ua@JmhtMe|{TVOO)FIb10Tm1UE$8OU`dEi7$B5WV0YeeS@qv7-HK30b zpQ`O+y6XU&MYPo08cYq!hx_?IVnrC#zk%;XR6iau*z1*YPf#DPC}V`(l~$|t-kl|W|FGJ zY18y(>(au_j0r~8JjjMTap1A;%bSLLJ-c{wPdnx3LY$BaD{T#=igt|=>G4ORk9=zy z*3463U7;7B_>NZ#yEuOEe!%{GOZ$L%DZ=DsCZe#7TQ%&KUj6cVD*db2jHsGHX*lK> z`WO(H?obZn`N93xdalxCOrxJ?&*{+Fsku9>=#4;l%do|MBfrxue;qWnOM!KNW-emz z{d?#o^jrG~qd*U7_m3mpPCP{~drZnEWX*fy?BCe**M+Y+DpQ4GFr)6{Gqvk48UEWe zCIERS*M>MFju0HL{*}i5iVY_VQ&VTBe=FC2KKzr>{?V<0k!{})0_5Wr>Z1hIGiE9X zAfd|pvQ~Wy)#!E(1D+6dMfl)ZL225$v0*>F!IN|+m`7m-{LV5_j}o+QOkz=b>^aBU zB38z?J5PwsDi{SGXKPMGRZx)q+8w1ugi{uz{Q7~k!{^UzSp;@ol*FrRszK8YY7;sRBsQ*{d!&sT&s1oQfjDVyNc$hh#`BMaevI= z>zL^$e3@^nKYxeao_2eT(7&dldKG#nQ)URLa zgG11JvJ;yhIG~?e%s8`Wo*zi9<`ra6W}Qa53S>dQ{*ovH#vANhf61od)2tS3up=yJ zq*jX@X1eTR04tlzYtQ?Csqjhs*?wM+R`$xwk%4k^){|g}bu&kI6!D`KQ|4{CuX(!N*y8o| zeRvoTiEQz?aGkS3sF8<@yGRkQ>kD>+rU!$kn`@E7rRJOSn}-sS#;2RLk`lz%TYEV* zPnQ?IPj&{6Yimco59i~1dt1EaK?Wk;7neE1X})*kBnDo$k2%u@i@tMS_Xii6%0Bnk zckD+Z{ZCg{EnX)(HA@CdPaK#Jr)MM$2bb5Kh*S5s8a2l`OHXkSultj3yrmYOyOXwMBGZ{u~}8T`l=O9$!uSlE5|Xp6*Z1wjx`&y|b^hA9uQ!L>^nF z4Ys_0h~yvW!|4-UUe%A9&u-^D3D5-G=j`8;^e=WlUA}TpmU+56vh#sHoID_Axfc<6 zT)VmGFz~Tz@SJXMdAhEEZajIP^@qgo)!6yCKN%P_#i2c|b>OA>M*Gg%xn8-AFF3eO zyWXXV^bdXAyKC`|hTVv4ma*>e3{~Uav^0k=n1O7-IOSz=@}E>3&U`ALNNv}BTAH7W z{Kzv^ygF~J6M$T)3dD=F_}t!Gxa-1+kc%5$KCLvogD8w&Hj0d9UW@-6a=*EJ*t#*V<4xgQTXdb&M!VB_i4 zfp7Cd3JjWvYVNI>&s%((?oLBnFW5{Dwd#Fekb`waCXx|^0LXuXE>|&4P{zQ3+z|N~CWr4PUTVPd+qG?$|mdxbEZ!XOg>) zn=LT|pnYWh&}!eu-GeCeShC?<%~a(q!A!a{wZYPJSfXN64(X35Aqm82`Uv;@6`o<# zt=UKSp#SI!&F=I4=8rwgg+_m3wE825-1aP%hkUO>*(QOuN%)-lz&m}m#lw2*(*Y{e zQDrfi1&7)gt?I;bPocaGFO%;RD5Xr1X>9y~428>@h(U;P3TMJztwWYQ%G$u>;1gUV zWKQq))T>YE!^L4Od(r#dyB*=ZB}wnOgYrkc2`xAf>fz?C0nK7jy*D^+<|P@Up@>i+_R?ZSPxM)vHjySl^{zss^x z+B>`tso|?Sc96>v-Gszx;q?3(jWMj&R%w`j28M(gITcDvq}UoL{4JlPlTsEgIaS{fA79)ar~btvwj*CtE;$$z8>Fb9dm2`bG2 z^1Get4ZKmv_F~!6gUc75bH5uJNw~HvsX|~pnks!DgX;sEEJ_z~{=PuRSnLf(l0GJ& z&Y_o}oC|HXIRR^>QZ+7n>@a!-i1MtGKPSbrOp!Jj?kol>8yqnna#*BG&iuqD_0vAW z5fm#0uMlJIdKgM}X?Qi1&6a$1W821an0%EaK_0bHHa)M6y~X2#HdF&T|E>CM>2V6A zxsc=xVMvbw_$jC$dGz|{HGW)c-l7z>$a7I|l3TL7ggf2S*zQ}Utqa{%)+u`48Ugd3 zE(P&GpOSRNCF6yQ&jxy_MduS3g!7LoKSik44SO?qE{$0OUA;eGX5i^ccb{8~YIIpX zrGBd7BJme8w#X=W>6d8mu{I?$y0W8w8X5qRxcD$h;CT_aA62)J}cNKTUl03fEYoMW@Y&yQe?iQH13aOM@`lVplaXCIk!|E|H@!nPGoGHTA z`qSjErC#GCHA~Gq3+CGgOQ*R`YumYTl8P9vba^E}qk@L@jECeZm;BQdL(VMn ziLB}yeBQ-nc8!G1O`>0LrX*`R@mb#(z2(;*5YwvJVT!#d>S`Xh9H8(V^xs{akxMIs zj>`aPQ`eEsqfu4eRlB_vc_W*R8}pK^|0X>0CG+gLW6dJwQ zw|2d|P4|u5TkrvDVH^&=6^TH8fF_?-gt{5>ed@NkCI;-&k&wz#8xqU2-e8NXR*588 zh`E;h7@WLH7#f*@xNUWxCE#KTR7kUbbND!hsp$E6p_NY>N0pIQ| zCpXwTo|?3HP^PK2US)@TDFctWN#5xB?K1LhQW8W;sy^!`p*pjk*LTXTRcss?n22W| z8~6iMifhtVrE}F zZbt48Q6)yjfx$P`p7HFW*~DUNMUl-|&>E^!S8b9ej|d&na_5m~l9b-G#gkDM6524p zh~U||NSB)nH41uisE0{az>Ip{<++!l3_Z%`18rjINx~K_`M^2$K;rFuox3=;?-396 zsxX%&nf$t|=YGvJVF_m~>~7MhzvwT!F-JDu56z1%`Geh9mPmarYp+gy4xaZd z4Er17TB~pc=0DdGFU+Rib`s5Ib2@+v#;1NjCf>p=(rwyWXCzU<1*hpmN5=NQu54Dn z6hUTY4nIC_xk&)fm86ALvXo<>ipzSjmDiK>i*%=CieLCUWSn=X z6u4-GeHc6`#fr5@bp)ao$kzFqHtxdaaM#jP*pE~VGvqDNw@4?lZHti(Oll zl%GOW=FkrqOqADq#7BMOs>>6Lbwpin?#R2opKbNykA&i%1f>L$O?eYFm zO*>Itgv4TqOi3y0514oeL}_=Kc1C`yi8K;9^mNuuQ3A(xq4dJYl7!T|%EGSm0JAt0 zwXSBA-u_C%%g@r%X@A9o8F2gdiE*8(=i*K?>g~++Nnio4i3eGKO?&CZhr`)FVid0G z{o1L`v7TTjs93+e-qD0~wfw8FLWQ?-uh>j76?!CpMuoq7LxCGu*axHc`qCD}5=ehx zl<{cvTX0$y)91Yug8&M=iwJ`!LQz+xT$#Zz^HZzj&wy|Y6pamKOazn*XUO6)9u6*V zXC1k0B7i)N8h&r!**`@u%?PG;%jgcZ@^Vem8)lnwNwOm~O!4gUQ#W8Xv{!0fPWNjQLn;uqTFeI`NmwA;?4n%b z)3Aix%OYNHi+(*Mo79B>~b}Q$L&d+sV$fyvG<@6h5 z%t1UpX`fFmNd|MDBH7c%#MXhRWpBi?skc}YF5RmjONte2EhgAYr0v-Dm=&2O9}HkS z>rZEEcJDIT6fezu)86*Kq)s2FIoi9zPOQ64$6mdOyjsKXSV}&7v{-?~11Xj^ch<>Z z z!dfPv$BiD~O&m@edU3wB{p9FM@Ri$hTZ(LydEJ^-H;~s&5wyr+@<1b51rxIk2-*V1 zqb#cVu-jr93P|@zIMdnXFG^LWes6AQn7fSBxb7a@mYZ$hfuNtt4f{Q3ZKTR3Y3Cof zd#|g54A^%dAe~|UYRKpemj0Bm!+`b1p02i4eX{?yarSa6b1G^QY}&L08S=&~Erief zS>ENVItMgLip+ofiMV6LS{dgp812<5->;L(E{ogy7g&WP`TBZR!LCvrB3ed1)|JEZ+r!`e4eqwwO0}a(2w<#wIAdFbmQge(fxLnkRekDGAr!Ve__h>5DDz3U+EO`L zbX(svX74z)>DGaigaUkwZuW%7*+BAle_ov8>-8jA;okUEu;OY{O+{UWto*WZgKT53 zCj=LEL?yWR;GTdZbU}_c?jk+wjwChuzI14#=!IQ6AFnj{66Og4UlikiuFc;iVofM> zbSeZMb)I4geD^J*%4KGmuL6gBpQ5w)1lo0Z6Y5@(iX{$`Bp6d>`;A!SCaJ8nggsr6 z6@#}zL;+R8RYb%6^-d>%=$sQ5rayMpBJj5Nvq$zdk_S4j5S9S01 z8m71O+m6OiEizt;OB>UN+%1-^WF_(|vv1P2Fp5;Sg;d5Pf@le(Uxh9kekO8B;Nx7n z_Zo!dL;*ji`wTALP5-%8jqL=lRu~Ve%j1ddffcFEXu^HiAH3(fLiu+iZ8zT1NflQ_ zi#QhbK;l&>3HkXL9qsYg(@ECzf%UgupZn)H(CQ$be)AI>$kK;zG~vy!5`qYxIWAy` zEpF0kY=CIOzrzEo0x16u#c~|Maa5OjpfbXC9LMaDKTuC?W^C+BFe&16Tkj6|Oois2 zl!kJegsZ>B+QMEkX?ONxaerhN6H^|YPnt=TJ&(g>WSuVlH_9)9u26hizja>ivo#TI z=-VaX#E!I>9)hFFa1y6d`laB!sL+jS$q*Lyr(>M4oAMJ{8lI!LIN#>S7KtVw#W2tc zE}Xqlo$5XG%bP}dn%L$%om)@sM9{*R9%QNL98XnS?WB|P_c=TT7uPd- z1B!@2*Qs^u4&)RQWant~5jo;dRNRO=*7n<;NM@H(twPHB-4Q7c`Jocx9OsJ7x4-5@ z(h#bNX?dK(U9))4`b0T`IaeNtwQU1N=O{Heh4~AiqDm+PeT6OJWxOXKP38jUhgTi^ zgxWrA9upX`p9vpn9MhgoY*s?q=5-XoK&^g%ppPqC)CQp;DmSJB4makgl4JVnasU#I zf+JGf8_fJm%0dIY{R%<4kd;009G;qo49e~FEya;tcYGHQ>JO-cV%#H?A0&GHzrk=i zylR^QUTpk3>UjcXrQS((Q>Ts@@6^;W8`0eBpStRfA=}mo|K>VdF_Bp9<3}iKeEX3w zzs%o%)O_Mvg1$Ty^B{POfZYS^sl%vk{l!8mG@B z9PWjeKCMn6S}cc^{>i5sHTbqYsyDMa@-B5o(AZvuJzJ-#KPlr*O;6KFtEu0h^ck;s zPqn;tSdoH*akVmoP3EVWfPsGr$lSDULzNo*&olXRvlxyZZsYnUdo}0nJonP%v(>#} zWs_ea13bHdkXUTpC^EPOt&KYM#SZDG8F71Xft9)Lo(5Hh?Og||34AlZ^>XUK!;?!n zy1H_0jM=8J!Zn$uucZR&yRA?BMi$foOcSj|=;|(f`Bn*MWV?KxwJDC%b(1^0!CIn= zbds9qEcON-Wf5j_@;O3KzKC}G(8SPGbKWqNxqRG@$h zK=_f15YrwH31=gSJ^Vy6Wi=e*8wmhl$Bo~}6sh9~poh}cE~{6q9UO-hlP4e237hyA zJER56l`P&Yb)2q*2TF^q_jezO2{Zn0N)q< zp>UQ;wUTBy{Lxj~=Z#leamDyp?0BkB5A$%5rS5pve4AKXChR*VrkEYbZlE?YQ0PO> zt48Sg*pH5*Y(R6Dr*Zrob(`Ipx?hWEgv8H#GggLP!4c+O%mSj#Fwv? za9**^zcAV%anI)wZXyZcL~5(yr1vwh(&p0&1!PQ0K@(qzz7cJ7Enf}Y_?i10* z9Bl|GP?C>qmtzi{96gDc+G?;Hf3_AXp`!iVIN}U$(Z_4+cN&h-hmalyaZ(U|41#9- z&)4~LHRj@p99pH$8Ljw7;xVQxXdDF}mC1pJ(Ig zaD5=S#Mhfis;}JivaFwb?qMAt()+-Wi1Y+_W!SRt<7vS79$BNjQ0@?S^=)Hc1+rSH7JcF})nx}x{o0Dmp{S{`q>=E$) zt17_rc(+dh{x|j>%1>6hM;0C9W*^|eWWgFC$((b!1eMD47MY($B~ir?^&M53F^3oe ziK2X}gN#yjDRYWPmDlBv7$rl`0-7`zN1a=Tx8{=%WgoR;{;bL~OwgqoVPdY>f{r?` zZ_orkkQ`_0u*dTzMz2}Huk=|Se&t}a)yOdTCxmWqJB(^$zIrgU9Q7_ZL%(i2j|-w4 zX(N6nifL-M_On_4;|xNnPU6eYBn=t(oi>e=Sev}{J8ci)Z`|HsP;3Hy_fB#}xy#br zBjgUYQH`b+)(u|)0H2Xj629ZZGMSVT(p9(nmM5GB!Tc)(mmY@rmbQOpa#1f>RXPOI zO>vrs&0u5^{aH@`(kAvC2BX#Ro@h{~dKtVNFe6<5>JX3PT>rK(A_BTZrPT$=)+U7$ z!Oo+~iMu+whaFhMDh4&`Vo-q5gp(WW_Eo%l9t(pLsi$JE4~MgL zomJSWA>rOFv)LG)7uR<;<2ff4+fEcg;u`Urzg|Ua%4>@oMw}(tR|g=G?xNC1?c5?S zOEX+%e$AW;7f3r6D#0+gcXHzbX$#R7;u^jwNlK_;-n!b{sOn4AXSv}4aMprehyRC^ zjnHugyh-?orQqVuU%<3CJ+!_4DAMy+(J)~u z#}5a6oCG7y+0X|cg49iZ^D3>f{=I2%)99bN!B4RjKvm-*<*npQm{SCBh#$mcu8tY* zIoD;_Mb>UDRIr~sywNSA`GjW2bW9>cu*D;!JOt7R=a)+PS9iXx?c8K_DxM?K0X_-n zMq#;Ayhrh%E^CStREXWd7FA=}tHFKm!)D|sD-q>|`j?7GT2PGEc2%VKMAR6mL5g46 zFKC8vSr*WK>ZB!P@#;v63)5eocWEARw7jL7Q2wSPKeKv%do zn7nao>#o3UoEX4DV`zwtEHU_{H`5kxl;sV+f$Fbvx4VXRU6o(Nc2}y+w9=9jVm@!* zj$>z=Sl(8Ymal%5WZTm%CBljh(ziV@-gg&hiwq7}T30^nwg_0ly)A59=A9kJa?fh| zBx{Ck{-Iv9kuT&Hwj!f~V*a7K`8yhr@EEONc(%Y4OzNt2(#&AmZjCWriClxR)Z`faF4soYAwca^*C-c!TjlbO@1mUV;)$ji?9FuluMk|RkBC+?Mfv7jCUT`Xd1>-AEf##bNZ(( zdJ}mg-Scxp!|k@#5m?4AO?N1(pGEK@;MF;kz%625dJ){95TgTV0yKA5xu~yGmdZz~ zriVLo@gM;>?zP@uN4^iUKmYx4_EWCYduwGw!y9DOemv3_DczRu+@0P1EaGXtlq6ur z9h{aXhyV?aeoh!Agme@aF2BtQ*4f_37UqQTt(CXkj?TV#O1-?n}hX+EC-BZv#ZFmyM{@Q$GQ!RV1FxsjI{u{kDRj2K`h-3V?NGh(+MMeZAyItWpz zE`b~4;-=L~HG8i|FfQ*smRq9esa_`F$kpFKe{4oZdm1#9MxlR;4q}iM>8ft$LXY=Z zcVeSXz$5#tZ_nGi(TPiL;FOhim_Wj>jS=3fKm|`0Nr`4)^cMeAX9Y8=EoQlD7D%B@ zAdc%(9FdaH+ef*mpZhr0tJpW9Y>?-e;^xaQvI=~+nSXX18UnwelVgv)id`_u2`p^F z*D#m<0biEl-1|@)z)w!Pnaeeht~xN<#!(<#5A2b5YY;nsl?%aYx3(;xW<2;1r4X2rP>_I$`jW0bY9z(y?7NxhTq(W7KYYb>9C@~D9XzDwH%JA z{If&mL4jbd3G0=yM)kvu)F8{+ET>UH*E!!ld&=>B}vGC0PGDVM*=gO5JI>v^Tmz<9KP)~RG5mEAx=e}d8UZ0 zr3D<|*j>dRjz&-wn<<1XwK*}`Lo?Lvq=R1YNY342O{GWTXcZ*IdZC}HCG))UcV0&E zFsHvl^9V)?EF!IyuRwSo!81FXsHFq;<&=a^_qO@uL9g(FP z-4lY$qy68AcJsA}nAa>_)3Kmehl{OsLE}-s9G#oBl89i~&ATP#&HKQmplk8y78r^p zKuEIe+o<5U7O?)@&HfSlR05F&J=Y9{iA~%W6L9~B*Ek}0&iIvhM%sS-+{#|EG;QUE zG#t>F0pP?inmcYDH)X~3Pui9~8t>=M76j_j5?e)?@hxRiPS} zpIs@(q7~_d8yu%a{KCP$c-MSM&W9-e*L0Dw05|ovgjd z7or4pY1ouvC>yV40J#(^H^?}{cv@OM6SO6fl}XLQjRWVuuS5m+gzyarOipz2PY*VE z7BmbVUaeRDv=i89bFcYbV4qZ}5-tv8b4%kqy9gW0pa}R7BCzdeO=ujRLiLp;rC+^@nJ*FJ>}+*RdaD0{Voo zH`sA&J1c0d%g>t-Q#BLGcYh}bowZ5OzAXT_cOrx zE6zNIcX=?eyNi7cpHG5tu1Q;sVW=r<%y+$Hy~{O5w|v`?>uB_thtIX_A{q6!z_~hF zkqa_&|FE8dgdl+ws*O962EMfw8RFK~3MArG^il*eS!QAzqo&AiG08Y)%O@lvpN8Ar zE9Bi{S+=R6#3liIae-7a)hYsGbDi$M>)iucV&__J)L|4YC~<3h1wx{u$4N~Gc~O2{ zIWq|c6FZ-+CLXn#Kr(%HstPI~Z55>pHg|ezec}`+k3BA8Q%J}5XQcn;67O;F z4Fsb5eDtE6GDzyp#aI#VK3t@H(zb{(=xIOA6+eWT&w1|441p{K(7GKO3yjk@{3-;4Z^)f3l#}+2X#6oaHQ5J%^ zpXub(ydPOc^lcS|`TJu?fIj6}#7QXze9{MIXmJ0z(n)5P5iOV(3yC8%5B1Xs^^fl) zz6&>4o!=~Nbw4DwzPfM&)v`V$5rX(geK|ND4Gr(xlx_+HZ5HqcpHZzc`^Gi7$YtcP z7Y4QHG`ghmWY+B#<68Rr9?e_c7VK3GWb{7(^b%26@5QmxI<#OJ~K6!Pk8{ zrX?=!`#)LQby)THt{jTG)b=4Gze-(DbZv35ZS3u53|C6q+6`eD?T9gLbct>Hp$T2T z$~)q(3Or{$jFm$>gu^vSgtE0=^7gg0b~O%V#tybR0)fvcSP6M_uxz*qXXqpA`6LNu zNYnZ*S21@=O&33T+Pj2y#Anst3cb|0EDM*u&kg^v4at2*}nRH z^ezJkl%xWLfk;VRIMjBT@RImHRGbE1>nt(}xKsy*b4SH%p|YBb4%_4(^1MbLs`0E- zQ155uU%>-*(E!3kND*dLdt}19Zafw}O6~fegp+Nd^+<6x_;@3yKl(G?R?1@@XNe>Pu(ZCN^`e;TTA&8_NzK z`B4@7@FUn|JC?bwK)EFi%W;ruakBC)Q!;i+Q-r4Vep}ltET{q##~d%dPv3Ot&=Mrh zU2sL*LeTBFwURUNl;QaAK%*x93*4@x957x)kZhWnr#D@B;3hGD8Fx8|YMjNVn4{Jr5mqEBdjTuA3 z(os$xnww%TXY-3oHIXN)~KG zLm5$2`M;5Wf@636hNCb1HyI0J6N1++rO_qfv8aMUjCHCvt0B;!F8g(*1M};Q8j_R_ zkItNh*l(DadV9#M&P5?68LcZYQv3G+IRBrD{E+KspEvX`a-2`%i8F~yZsTf<6d=EU zwYp5{paOwFN)}2!9Y*_7j%6#-OXn}x>>h@Vli0BXsDy{T5o?7x%{6`wNMSMk}qi`lsgFrU~~Xe@g-6v6Gc zO6sEo{a{XOqFU9arfq(eT%hyJU}JI4Q`vK&Ak*#g&Q`|VLP86n z$o4Jk3z)@{Tg5b1MNx08KxB;8*Z5sJxE;m7ld$)HG^dz62RjJ#LW<(`&q92AwbXTisZY|YknN? z>-^GDF~dy%Rs{?U3RbjgGRXzXHEf$O_Be>6UsI)(F(hKhV5ytKdR+ggd8y3t`t|F81MdBp4jR zrHLF%olmvDT%;=GhhS4V%K$4!>~coMX;9OHPJ(;OecgFFpt1seR@AH3g9Y=}kHx;K zD~*$@AK4|8yMq?)o5K|eYlqbPg>K92z>oOI|F)bK-@h#9;yka6;e{Y2=A1tRp{ASj zVx~ac9gm>$JV?E01p~7impFogg_2i`)b>5V6ZD5`9^YV3cO&ACO*^ng2Xtir?Dws0 zhbod!L*8EHWRiz$^@I=~^kr*10WxtaR%z*nT=2{cUFsW@RRYsI&p1zGk!(5GYjM`a znT@1|=D64|JZeE7&WDP}HA?P%)^@@%C{5}jJUOC{@<&_2YdojJanua(V0G_(HqsEHt>U;jfux9jY`_xY>Tpm7B8xD>c!{xuZrT{!MOqYsqw?!ng zXcXNIpg?2iM(N}j7%ySD)-F@k&$}UQuW<6t9m2kBD1(HGNE6T(t?kk2!C>|fXgu1N z5*ejgPyRcK5-uHgDj8o!k=|R4hvpZ|kAjJ^=3<9q4^1Wa0_A^=c!F6u(n&KS?w=Wi z#M_aZW-N#tae`jktAEjO4Xjsh(r(<{V1ESo*WA2SdvH7vgzwj&P*PIz{k59?vLU#2 zl4Ezrhw<^6alu+p@vjU@Ks}C)DbNKSALr<+2Gt;cLz(WiDr#?Q^M?ifbvqz2#%J8j zW}oV7PWvy4+~~D^R8XHp*4D`}e>`6?Z`)T|NQ<`~cb;Z9Zu`8`X+L=@>mLCiXn+mv z#1@aBnBfXG3XWV9x#ZsPazr^X+R1yd%bV)Qu>0rJCg0KWI;YdV-(7)mtX^qKE7^&G zLRsDTU9>~E__oV|7IedHBdrN8qKY(aTdsF}KLu^BOB2GX$**@_=fL_-1xjwDCQgf# zTfpbRCGpKe19iN06TWkwKU(g!R!LG&Ci7^KLO1{xu$(cCpKg0OJAlzJo;pW zjJecLhq8H&Wg!rG*_CcWEw)ZA_f2?RVfM7+n>q5V|eKAxAm#8T|m$L9hvjOPp0 zxb7JvcJJMAu?&7qvCMqV(~C4m#9AD~6>TKB!GJ#4rhY`G8S?5G_VUT%{O|@tMl||D z0Poe==KP&+pLkM(IB{d$Q8g%vwJKWmA&SzaDA**IWXvR21RxjuOy|mBWLnkvfZLWd zzQJ~}UvJ7vx(ZIA{o5&x9bol)Tu|2~o401{UH|f75ZEm_ckJ3X}s_yByEzT%_ z`wzpnF-!%P}w}*yaH#kAPH*{4p?5aWOE+0f;M%frSsNna;iu zj^Gc9mUQA+#8I7>J!15-QaRWDlu3tA5Q;9@E`!Wi-L`&b`N7^G0a%a``_@Pj@_v0C zi@2jK$oK}#dZtGUIfFbYpHy}b{~%`N-F!g#{$j+eD9UfK0rKU{yvfu*c!8MG#y{9( zB|&!P84Nf0neGPoDcAyoVwKq@u4!)LI}wnvU59G1887L$$;D`)>rJ1|R_+ETI~W)E ze-^78YEw*jx(LBFg>Rr;uwS^*TvDnLQW2l!8tk&L`L=HkqbjZ*1JnGU@;2-}DU)?v zh#uuHvb`$k&MK3DwfpB}+n}t{$<S$eDo@Lf9*=f_c@6sC3h!@ zZ~EeVH@{bRaP`M&HB~#umQz~)=a(^Wrk-VDem)RRdz5dq@kxD%K)6prEx=}OJ_=Im zdiEtlE|o6*j%>@w{+p7$?OLs^qqbJL#<7nAb)vrG_a#1T^KWfVa(6jec&EHNC8l>= zQYoKSEGZ&A9~~rDopj)OMATp-`*b#FJEfiX^AQpj_k-n6$d1L!KhoP^aHOhD43?LT z`ckW{!B`Q2?a0(|ArR)ssQ#)XQ^l9&INH8+9;!_JtE-S8_ z)udAF9ViFdyIOv0%WpXI>=}`IcW`=!?0S4o5&+sJcL;MTL($;tT$!~~`Yt!f_TD^p zRJ#5(A}{%Kc$QJkUdLmv;3wj*o6Y((q#h0!d{VEc{cbqi6I^!7jUA+F@{a4miY3h` z<_US6z@En?iLayBLP*i8uo~9GQIrkgi>LS}OPYCpBC|Buy7*ZgL#PK^39o%h-LN5n zP)tT*1x&kH1;ReCK8pv1*u3MCV~Q!dQ(2mN>~Jk@Q*Xg;`CYU028Hp>8?=v^Jv4)BS4}QAI?b8pt|h0K zOwqoUJ+sahxb{JbTodAe=LXYUgPB{XV+lnL&N-QGF({0TCZr|)d4=~XFdb`pn|WvZ zL2;eXB=@O{08psebHOyP#Mj52U%AU)m(wSd@!g#2+FEZDv+XAUMm>YT287%Go0+>2 zlr8|qa@9c$Dh>S4NOSdTjeLh9pBUG^l5dj&y(buLE-^_;{*hqY^oGVJ+}lQ6PN*qP zNrr@Wo9W{huy^8{wM&SP?`j7IQu%Abt;?DQ-l_8cBiv=!zrww?O5cMkY}GU~s3f8L z*<}3O=#NEOD)+SGC&~ur1CNw1$Lx;_{9Lw_aY2_Mg4fQOTZCepiz<|4G@&gcUkoY_ z_P4U%Uj`s*e8FOC2Xh&io)~h`)qYsr`tT^J#HiVcJfg}->1xzwo-37`LDW-~W0Ns5 ztAfWO4y%A`|59*YhaJs_j@;H4Pih!dwrc3HxUHy7loHC z^EK2>c6&@1jY&QH4>_^g{zFbz{*n_@VM&GCT|2ww0n@FO? zsr1ya4=4@+k&^@D^QTlX1nQbFBVW0gMD(7$D3YT^)`|v;=3w+!I~H+|5F2gw*#QNO&u`bbg`X0ynJIV8FbUg>t<4#* z{EU-J0XsgYw84-U&JD48yP&ts&8Hh18VNxG2F*p4z=ovThP}lZR1(sTKRQ1<|V22$H<#)bEI|eDp{LB@Y_*# zA!i3v=sm4`Ygccz-WgScv{bUn`8|oTRZ3M-4@r&OW?e=02>7fE!y|>M_6pi>5x=UE ze6GuweM*q6@n4_)EV5E{-zSoIR`@8SGL>QddJBp)$Le-=9NBAHHA(g;^mYEI%gH~| z?c`!h*tN{(thmw|Z+!pyt%6o$A$n?UibLgi-?MRv<@T7OjmpVDQOwgUpJpbecRotd zQPNhDY}(EleSX&t)KF4^Dpo1Cx(4XUJofqu`ZNI3r0*Y7Nng;T-;cZO;e>=tllnJ91^JS zaIim1ngYjCSiv2)z1Nd}+>6xp5oElWYOl_Gj!d*lz=yu~2@P+0MGIE(o9GSoy>bp! zww@XEXj1UDN7viYk<*hg_}s+ltm7-gz;o&bMI0GhZ>Gwhch8wuv2#t4fe*yhK2|6+ z)zU-*H(areP!V-*J_OzdSFBcNEy5zvn>!h$?hmuQ|D2PEsBzKfUL6Pv4_3%PU{we_ z0*XSw)cE0I6^-mFqNwU^_{7j!qe+!+>&m{16`W?HpL1F2Duv!hub|b3hC;*fmxDYN z2$cODU{ch}H#k43XZTrLQ7>0^RR-0$!;<~3HT$$ZH-`QgSvFq$Z=0@CcKi{>>r?1+4INw_MHrz|~)$q4lmVKvHQ_PwX9JdEb z-aMtA?sq*MJRFh&gDA;BP-+kb3y5AHWVd1IB^N|#E@2AF9kr4$S>`GJDp=U{Xra%4 z(1;30!FQ*HPieSu265e46L_=)Z+ae_yK~e9IW%hLG$#@EV4JONWa#|^vvrsH33ygY zKroX}=Q-s8JI+10M>(_JF70MCSVk9*mu5pvj3O<%$rL=wlg3$SGZITJ{D8NUqrGxt zDUNW>IMtKYECZjlK}qA)+>}y<#uOU(hC>wEhCsY-+~tS}?&};y*8y)g9DEF8gr0F* zB(=Q$IsEPZOYx!UwY0g9w_QXda#njHSEaH7&);^TK*NGTa56BI37<4>NSkpXaMC+; z!EWDB=t|v$wQK04wU57%DXI3%eMa4DHMSmN2B$ki0m0|7QM9yP^ifNFyyg+lF63tb z8_1QV3qdotYG+Vd;JG}FwZ}@6yqMD?)U`iTi{QvQ=TSDSC9O&T#;{Pp8RikdEtdVg z#SGvU%aSJhgcp(}U{`pGJCu&ra;vZVEc15^pbKT^o2xMQudp(;^zkAiRKTv+D4%C^ zO|&{Av=QNRFEYAnB#*^R@B6&(7~fm*c-T?uw;j@9oE^CE(+Vw5-ig(IXy|C$=;yOM z-LhA4p6&fc2A2~(2co8zIjJr$%<$JK6Zwr%i?{wE5whuwY>&Q4# zrX~eV&i7N7RB2zG^nY=;e}!X@$z<}*$0J?17Xe=lY>P?c%m$gdM@7=OBwfbn%Cqg6 z+*i+(nZ>HB3s)mIQ{k=^>YbDQFLNIE|GN4mr*%?3*t4Kwk;WYlW<-#vNs>jmP$TnL z1}Dh8S-Q|`ZB%4pnn)=^*t=uS{(|MD_1%i>w|ZlA8S_SYu>^|l>9V&!|Jwxz4U<~Qh2t#B+ZP)L8|gbv*xTOQwnKjxQutZz0r zdS|$6n&D*m^b+UDc`UF!aZ+rggTJ@-odBsTvbRsP$UhIugwaX(eAjiCls2nS|1R?R z(f&@Oq1%3LLvCq7*|;PdW9KN+yjunAA+DBCdb_vHho$E=kfKV5Y9yrvue+A3XP3s) zjlU{Y4gDZ_vLsn3cDLo|NBjL&0$u?GCg32HU=%f;a*P*H+27lG$F7`LcxEAvQZv9D zPP3LFsI_a_U~f>9`fLI6Zod;l>NtdhkL7czC)Defq;_0@JW-E+6?DybDl7R>np5iC zyg+vZ=lc>0t3|^fg|1hoWBg9iqBOs}^cGI8CN0cRHfH|WnUZ6%>2ifbjLbEd5Gak{ z9-Kj1&>AS5@88YS4+c`Qiz#ILY$e(O?d<-TMKRN-)UIoeH%x5W~DDrPC-%Mar0vM9lPvl zB&JD$7>EbKNYe2_B}=#Rke+k(@5QGsRo`QZ`?L{#VKn~o#fJ-#czf`M5fi*UNTldU^MW;WPoe*C5*0lX3Kfc-+79Z&Gs`K{K$h*;{ zs@ykH3b=>6M~UX$WMFr3%G^?grq=~{@yurLMF$p6rycr?MVEays}ZFzz&+y!U{lp? z<&=WkL;qis)ITO>DFutIqaOE@t*@VacUrHDn0@HF-?M%1ZNY^eb#E{!0R$lflQKfo zSfEU0#fUah3P5W*hSrMjCEW}P_HRvYv8=4AI5#5~6tAlEIls&O6v6p5?aQXyGQ0^(3Jo%JkPV+GbkAEN)s}Zu=PtU=*R*Tq$k%@I zEYN1~;7lyBLRVAQCg*y@f1;5L?DaPq$-Mp(jfig3W5i=E5p{vx_&vv@+^B7%MMuUv zFP5H0{4fe_W%8quA(|^=8bWY51~BZ>8@%|JW^Wa12~$X9lI)k#NQ!%w23v6Nsw;;T zx-NhRzu0q&o3+0U7wt}mFEB|vb^%eD1m>QYapCQp;kUgc8)icba1mARXhlQpDIzl^ zsGaSwxT$PK)%6DZ``aVkGsNk?%=@ufp$YLGFWxZj-E%9i^Vi%l*>7S-(Du-+)%%lq z9j@p7EC80~scx{bMb4@LtF#Jn$AOaaAOA}uP`@uos0rU>|AX2HT49~&o5E*%!Y}H_ zL$2DrZT)uXU1W9h(_d-7&X&@C9quhX{WW+RkL|^XHwnj>qNY#2L@K@^$apK1QuHm z;}P}p0jbIt%3Jz69m>C#RG>6AbBg;ehH&+NoG-s;C8{PT$-TKcJ_KvdU5N9CZwy~_ zUUI?$3Kdw%1`V%PxHVa@C`47$Y`fx=Km(Wa<0zMJgv?{pE=L^j=?~Bfd$mcE z2Nh{@r;@VABlVILN7R>TrMO3QO9boWn#o4O5$i_Rt@! z9=~4{r)seMqRcdMazTclK}?$AsBF*Bc`@_AnwvRqD)HWk^Dz9C?$CXnonO8@cgVV9 zu$GJzk_=HUJjfX>j9y}Hr8W$mbTt457#nNk)+T-%ayr7u_136TYf`JESD-`o3Yn(w z{W>x>Ql}syYq_uu(ZZb=Ii=?#6!WEvM4Ok z4$+Z2^b9I=uDo?lqBS~0b>V}+a+=VVbB|Ge7nL6b#P}Dh(I8|lXmA3$<3c*Q?f@p~4ZVE2a0HJZk$`hkna2u__z71=WZ4-?UA zJ8GAA>LE@uVw(7Hfw~|Cph6V?*lg>@K9^&`FgX35!P_N%9J(FS!k61ZILY!a-PxD< zk{_hl;tnuelJKPTquhJTw$%BP($PdYs19WDp=8L)L$QkD2^HtzYW}gk_YaIWB`OhG z!N^q;?((TDE7e=)CR0_{mDvk!40ZPr0p13?U!zFKP>AZ*gS}OmMBKTtYAcqU zL05ULXRn?Ue_0zgS1h7ue&GYdUK#UkX&nOI2cY!v`=!DsYz^>k+Qh5pHQA=ERuJLTIq{TdUMN#zu0?ljdK zvwm2YC4kyEQ4>eVyl#WiBO%9A9ogplOfOq$83tS5FS?waxDWo=?5NiCO!uz3minmX z%v9%K{QjUmRVXLPFDY}M6%C4qi4XDu7$C6AQ20#>RBTjI^;VirAUz(&&n5QwFuuFN zLp8UhaLR062o)SMdU#c%kW{0Er{MFVZ1`zhatjZ3u#zbJc{d+{~<^Z8X>Yh5$@y$`!$ya|O04SwN}75gZ(*;^vb z2|D$dl_$6Ej{9L%O^0iBF6#AUt)6>zn5Dz^eov#x+lr6*IzHO7RJ<&t^k_<6BCxG_ zbBQ$T=u|x%jGt7@*p_pfo4HKbC)Ut5{t*7WY+m(TIVQyX{m@;3qem>W4%i~kbLvfF zH>?3@I^|k)VJZW&x7`YEhAwN>pR!nue!F%3m#4bG$)z2QokQNL-1ZNw<32z$YYsWX zp$gjrnpy2Y2MhpJSy~4D$hT55b$({cn)kS8w)gh~9F#Y<2a4{I#mDhV=wl-@0)1uF z6WVnZWt{LrWpmz(uCIyS6P+{LRc+dEj?Lrh$$3?U#yRCiq2c`W&S5r|=L~y1juL5OqH(bP#3x74b5myhHwG#+FV<8@@D*lYt@;+P z3E0<{MSe_wQy!@X**RpjF*m!IDV0!>P9IKOnYyz}o%G>m385(bRxM5JJJdkGM`xtS z@X!86GOH60ef`04BfG9<)D#&hkedK1!HfW;RdKtwb#M1H?uJqg4Fk}Rl6uqm*kqg^ z<}BPH@AH^Z7ceqeuc4t_bfiZ+XW)E)cfR;-t*(dVyoB=PPTg_$KKbBl%ssQ7@wf=( zb=){E-~LFjdU4_U-Cd$NBc_3uh|>eXGKhG9jlDI%Jh_a6h;6^+!G|MPbDS6U6Y4lEZdCQjUG3oy%*tz^}N933Eh} zu5lQsd;9qW@wDy%z#5sOC{*vrV-QN5<{*b1NUD8oS7?#}fUdmRd&M<@=nGJJyQa2X zH$|kEf1%TeuBITzFR60-ZKmQ{6*jC3965u+G^yhPUt$&5zFEj{gBkSUcKe4yecA8* zW4--23;SDMpNGxcaf#(@Gx9nNLR{v;~4??&yVdFnTM=K$f|ZPsV}1EUL*tK zNb;yefXqOL^Fm_Ne#7mt=2mWc750ZUB#+IfVA3=Lu{)EVmFpptiw*^c0=Ivcy+B8& zbCmzPr3?qkLtG0B6gw{a>)q#zN&QX;FIMM%7SA8QSF6ohiTKFD*tv%^e@_nfl2uDs zz1>TC;>Y^I;cAdJ)}(MZcr~6A>E-+uRr7Pg_c5bkB=qsa84bV1-8 z5L`up)P&fRqrlq$jm0O)_I5av#mCq`ZHCkaCNH$l4T`%r$oAV?g zwP$#VdZ(=%?Go9{X~|&#tdnC+y|9AJ`{x^iSEX;69USD`*FC8kxo~<>RU-!%EhD#r zUU3!d_2eKY{l_D+v~a-tWeQVm&N4uv6nnq8b-2?Q_V{-|9(=0$JeTq54adle{gNxz zB@)okKmND)eXViF)3!N)x;`c~&uM;giF}KanJV1YwHD;ybbTz7)A21cj)O1nZrA#Q zy;QFkmvt!^U(>5eaz(i)A}s>-kv;U^X^#B(QIw6)*eG^fx%vfR`%Jr~@ktNE4#`kO zF7?NjgN~uSy!BVpKam@K?;5AhdfBp0MmgMbN&Qp!wbumkXth_$39<&u!V(pqK@riW zPxJ9QTMN4#m*3jNQ|!mpqy+hy`e;mz)F}d}{E4H9$UQ+z!V7d$(A3C(ur-;>{8}rB zA+y>Yuh7-6+=Lz^4-!h$Cd3)nhs>xkZG;$%PrA?=J}<6f!zzdn1I;nuc3cv^vD0L% zp^uv6CKjC_g&wS?71E`aI64$_(n3*ZlxbF51a^t@vKvu#N8`*vr0pO8l%X_az53L4 z8+Ld<4l#*@CZ1fDM^BdLXB7Cp1r)(Da~iP}K}!iJT^8)b%7p-i{;PeI^=!8#{;P&Ki5C6p;g4c-Y^l}ZvX@BCRDxRJn~$YY|?V1?iMm(y#mhWQF;U;1%O$6hpK9u6uUq=UfueSC0L?O(M}M zFazYY7N#i?7bpr=zyD@Y{2>6>Kt|IVbWor3^!Y+pQs*43E?{4yF&?;F5NN>|3~QFN zw-uABP&vD*(@(~$Hb===)JY>66*=efOas$i0VB!IfqF8iW$Klh$=1rpnlUH9$C)Z} z#yd9s*j>Xcx495TCL1m|{0s=(42C=-fieXrjkka^_-GT5aV3{&#mFNn9#NEVX}ytr zzhmO$_4I`0{=5=Y@4kjO^#Acr)XiTb>oRnV$y&+(=0?_`tWf*tyvhyA;fQ zu5UhULa9vu%p*nfw?NI!v~AU;7)bu7-R$HJ3CjkV)_0hdRd9*;`a*fGBT*QLll{3MsulrQL=eAx-7!;|WGV(iC~# zd1IPy63LAk)mQv{Qh39z?r>4w!8q?jcqK`r{!Tiue7TjHbY5(=>BQ%8_#}ejQC~&! z&v0U|Y4Mb5Vgj$jZZiNxpr3JXmfC5UUgMc_;;aEd z=9X(!P_oeK@kgywbqi-8!?5EuGbT+;Y! z^9+d-4AZ(Cwsf6jdGMC=lX1SUax5vnRczV^x^uG1m={g#VC-KAZJ@vr;aK-%I)@+6 zaQsFPJ8?*Vlg*Lan2^3s{g?5SIJ=fh1PZ*p(PKwV|XQ^rpR!helG1^1eg>Mz?hHT%}yl`O6tD?!4J)Y>Vp^ z8#3xf-ceD^F>c;-FDX{JAKjF)=e62@ALZIrUDJU8qJK+? z{P&)ZS+Qm{%CW>S#hsVeF3MBEDqMH86C&C8)duJoqp~^G8|p49!+c;}P!o9LHe+Zi zZ`yQ6Pk;F{znq#D&Tp)DGFOMAzA+fd9cVGC#2(U<3SPN%JG1E)FAfhVUj`1M0Y-)4 zDXWwN$kq88pdMDaQoMu1SN0{|9kV!7iPLS&OT6U_jLJ7CVZt;baX1AGI0%?~D3ChF z;kFqeT3D`JDdgaRh|afexC`dH6QL%|_o`zM;8MsSq{e!+3NZVvvKVmIAC+~Cz-`9> zW_-D$ZY>mQ?kSIDuD1F)m#?4SxvJ3uwJ^T-nq*ir`>XX5XS{dj?VK9|W5Q7GGBdSk zEd5q63kB0w!x_Mm_^;Z?M1`(m_7ye`p~S=)+0)po&Ab$x7t@)nt)C@~s^jplK(NaJ za1975ERb?+4K&9GOCUPI#K=PzZ1Vke5?a(I(k}X<=rbt%C<5<x1^d~naG4z10o;+U}CoQh|DC5k>r`ETkJlCEj`jh(!Y8+ii8ObV4V&Qe(ZWlg9Y|e)KBW^l#5KbMm5Y@K6mt>x!}xbCZ_Xe zZ=LVab^f|wHQP{@O0LvcY1qG!Gnv!;H*yZjra!ps>Yrb`ee>7*3bEr;^z$abhN_afKFH*O^s!|Qg_g)kukA~V@y$LjaOT94~zpI6prkJ zG5)my_|^iY-@6E7(NS-J&NL5n!BYm;eBMl0x}9jjJ6_Dent{CZ%s;x9Qbb&tF@z%t zqfnJvgU8j}#6coJOP|;yo=iGKh$}RBKgTfnK@^A&zEKzI#LrVyI*5fjkyTDh&VCWs zWoeyKVl2Bpq5F?7pnzn2RlzDGBg|#8Kn#Q7#0NPIPd0XkP_GnEg676Ef__Mu3uX?$ z4?m{ku^4dr@95+X#KWpuaB~+(UlXzD(p%mp^$QQ`5sfD3teM@?j|W*f zXX?uqiL}OWNnS~0lnVwqgTpj|@`(0Jf#ezky6L#X za@%~iRENVzyt`xcROFQlh;%&}4|gM{C#`X&w43$)SrdJ@5Zw2GR#Jmffho8gMoFH! zO9d4(oA;_|f9z&3-1X4zUFDY(o)?kVx4Gzz3^y=;;-3VJCxhDZQvf1IqH>EqzlhOP z;p=J7anl=|;TN*{Y>%$n7PSXIm$Skr3CJ?fi2x8OIT%g`fznX)>eJgf?UIFMBlY|6 zMMoqp-0TD>&j@cwU;jg%_!ub_kp%IUx{tjpu2UWtUjjRqM2&@<{u%=F$`AQcz01)9 z;45+kFu@h&U`w~Q(Xa8dlC#k zhF{g7q!9JugQ$wqXGaZ_*l1=~Mho6JJT2!^NsfV7+BqnF+LU}$xS**sMXq3*c;O|C zZfnl7TTcv=XGDKM#;F(6o7;XBmCx&$Uft2kz#ex+`bDc)wTw|?*V=E}O` z?+l^IWf9I$(EEqizfPUzYWb8t1o--4=I9W_*v+i^Zinq?Y`1`() zC0v;Gk0C@_hqyPmo#c`62%-gpTq?D z!vk+e<kXPdo-zEP2d$;p1f_tcqa ztA7wl;(lU{GEp}iUq(asXz(a=>UUwo+KJu2;v=1bt9v~LuWWrm#`ZAPD5pDD3WS7)wLJsvF}` zOfPO1Cn@xQ2n@U|sr8(cM@=Zcz~aF-)_&$IlWU9u?~4nzOYZpc$%NxKx!^`z8)|=H z2n+{AGd3{EC+r*?ofHkY8P&OlGELps>ZpXJm~Vp_G)EpydvlOZD;etD))1%Qm1K@` z5kSruV)Tl0E4$dyNtOYy=y=i>iR>NzKNo0w*xx5sW~>gP)-PNM_21}C5^+=2597$k zGy$ETAt2s)be0^?5))itN&MYM&($NU3>GCyaJ7;Sj9o0gE2K8s;VE zx3iBybO?xsr^@MfgcJA(O?Efr3m_`q}D$`I~CYJ6Z51818fuox*^pet4(UT_Nuq*mmSp=83S)VWmVm zSqa0r^jd8#4QGVjn;$OYRB=s^bf5}*ap%>!c)eOaR~X|v5sm1gHr~66cN;h@1@wEf zDOhw4faN*}O!U|JbOQd&*3=~Cu2ZA>UPD0T?K zYBImM%mTn6v=1T#b)UTJ?rG*Uq^5PuX92bwqReu_709~(wUT8IA#Jy4t6?bZ1S!cF zvqYLMEr!VxvEa4wcFETyaVu3D}s5ed-J2> zx>rqvxV!RWHf){f6-2odpoTFFfduB%xEp|wqG@@FzcWxSW$bu5tn7e0(r7!9K%)v+itUmJ}$B)%e|qB^9@$&*KvCQVo`|+FV6~2#>bVdvtGHJSuosjY^?jz44$A1=RuE;&E|_) zJ48R?jh4pf8t0+FK1U#%Y3y_)nwQ@ez?K}WIi9k$vrb`t0l#{DW#n9}U&SG4TyUpN z(ZJ74)$x#?QIN+Ai)kbRH6s`t41tr~Aa#TUY%_iVHmVUYfX-qtw~Zm(LkjhX_b&nu z)l)*~wO0LrZRe5#;Rp>Qp^zkxLeuiwmXe3%AOIzm>O>&iPUAurl0IATQ8EPU%Ja~k ztfiCMSVyvEVj3lJI9CuDsHWS1+H?^J2of!<6p(Tvw#f$lL`UbM?XS6idSbXSb1@hI z?E@(cCC$?pHP>{cu#HJMD42a}G%AMljH{^$YSOf|eWq5z>@TTcG4tRX1CTIsP+_fu zh7ppfRnLms9S5Tx>NqeQNSXI2cIaia{tm@I&ICfyBz5c7Xwg^gt*q`B&KvXDX0;-= zPpzjYUa}F2z546C%Ru!H6)MNi6Q==Z{57-!P97N?<~bPt2}qyO^UDz(2NqAQE&4WJ z=yGQJZx>#Ba^2~UZFzWFG+q?1E_o@+MFnXQrjI-b`%d!~=;C?;UEG)KII$B@^yWS(h{4J1|^J{bB+ z`?wBBfdq05fXE}?GZ`mz((hUx*@-|3F$LN)wq(!sir77;wluZ@!knBHb@ky5yI6|< zrsfUGa6b-|0Set&nPJ*nW9|yku&-j_~q}Rz)8_2Twe^O7B(+oG_UA@-1)r-e}>fVCRR#KS5AoW z>`eaG&mQ?-+p9f5j;Q~2OM`the(Ces<{Sbo9A{^oiz4c~&}xu!$53ieGKqSPlBkOE z13&YL4SL?QsXs5c^oaV~#)}tz6(W#v?Nrx^r!T(nVg^h{v!j)+4EuEO3o+kx;3TJ% zWJ)010>g43(ep3Oo*+#48=EurA3aGX>gkr|M2|bxa^630u&*k#bJU@}uwSjOQjnPI zpc$$3V&FpK&bnwLQSKxu(Zq2L5 z({x-D>L#^aG)uS(M+tX2%P9o&fmwpg$4DQ8jHJ44l|eW>7z8E(4he#wOt_@#FqeuxHV|5Y)cgSn@@M)~ zro74N6^qYjZ@x`OJu}hFXoOlb`p|*<@?FTGjMNkqEI<*4MCM`!C$gSZhfjeb$9t3N+dTNrkFt~<|7Ha_SwlJAmDR>Jph3^pOy}CenW)Qj zT?Mxz^?WhAXVGQHwgF-JXz-{iaQaio0K8=OOLBuqWH-brN*4j0-DM^9R!dT6cPp4` zse>bBU4^y%*V8&Nm2aIP`aK=?i4m>jhCB2EZ=YO{~nAut;# zyc;-Q@G@!K50b%mDS^1iAWEJwN3J4g&U4u61MA?W=WKezv_MPsF91#~JnfmI&ESih zgqC=8A`I=Qn(`8>7mf~7RL>viqIm>P7&Dk2WF~~fa`a&ui*bQgU|2gO`uUA6$2S3e zj8s}!uNO(OebYk)XLJXVX<$H0c};@&!oK1fcl|a2vq01>!U2i$O|!6egA|8#*HiWV=Dogm(06lI&L( z$n@!{d66v9I13D{(Hv5jBu|IvK|5SN+=11QyMs4uI4Ph`_03<^@qhgjB|a|&v(T8)Ct}b9cbO@ zdT1$P*Vba0CZrc@H2$FmhcB}S;&cWH<0U`51bD?kGsX_`3;KVNxPGEkz9cYb!OIdJ ztP7HB0e!O2$J|2Gay=seJMrFw!}-Hp8OAbAAte%Mk`Fx z*_rMrJ>k|8vM{kaQkXK^*l%9VSlE*?=exXf1;a_sZyU)R(_2A{Rn(M@p=aj#?govp z5pcmbHFXtVj{62Gl@$Rh7Xj7@hQbUzt;d$hZ+pOxnT`C6e$4)hestz< z%sj9;M>VDJ72HxAu|HljqRS%(Rb2g|2G7fn(FRij%_juV^`(eH)ALV1In^T9kO1l) zu*Cy%uKK)`nr(L0aYi`NbR^iIR`H(3B#am)*`pNfVPhRtB*WaRXbl9h9!vF_|yfr9z)NJ?yI}w4V(>5{v>#$H8Idi!0&jJ;P z!i-OTAyId-r2p6KGhk*b5kP;{oxZC1yl*kLOwkdD8x_Crn0IzP|1!!VK@f(_Qbu08RM_G|-V-`Gu{iU2;|Q^RK|vM0@(Wq_ z@g+UtMlZTY=y%g87_q%Kg?Q6b?qQo6fy&ezxN8Jkp=LZDIA_TsdgAm_PH=DMs~B_B zd~7d;duS`KFsEhu-uDR7e^(n_g5pn_{}YF%f*kMeiQb)Uij zo9};~U*AOq{ZCF0dr4U(r0-1>@Jwvt;XP@+TqLBA&z(3E3-!~MHf3O;>zRXJKgasv z;l;A9i_S)!-Kzy-t3bzlgi7O+zbfOFsc|MYXjfAxV|V5v6`J!O^A7AYz
s`ni|zx0%2(dN2V6&nB@ zY@NXOQ&>OVb6RDeRD*J4_~9JGR|lHp)+2NcA-V`}X?PW79Jo__|04Crwj2Jy&0^Y@lPSV2$eR!SE z=LJ7gkm+opcab#i|fYRaj$PF9~thLOr zW)!}Uu?0wN%y#?MT>d+88@sekVsQeQpKt7rBK3TpmeI?T3(z_5-YNkkDzlV|QVpUC zK2l*IB@Ib*w265aka2iyww?ur(DYEW!zwyiU_em0Jhcok{8Y}zcrktYHuYJo`;J%hywxK^$H5~q@<2Z3Y z#E&u%tcAUhFnR%VaM5O(wS#`A*1Pi+OW3jSI>AwD`#tGgCw(B87w859T}pFm4E6%h zEvG$Vq#yt%PJ*?kKPwC$3SKP|?d22N*=@6t^)jxW?mMc24g2@D1lLW8kvwPm2e&E`>k4{mJN5g;z;$H=*t7gVDCdlADnX z)Wm5POp^#M&;q2;N_?fuqIZlFWt|y+fOM4>)Ft zdovLLCzD6H&>}4m7@+8`)TR;lZ3Z|Q(Yc10CzCX-d&;>fBti|ZoaN`YU}-gND(ay& zVpn+(VqfT<{^>UVzbU(m7M*08x4{#&PFzf6pWn9aqJ7`DhBU~J_kR6SGR#fb^{Wke z0o{^kF1yK;g2MGGBCf^?2NVZq%J%_s7XA9Y>kbaKatB@N7&PwfMO-5t`FcCr&-U9@ zme?sJ>i?f!?nB^&0t+yC4@f*u#&@75;|7!=2bk%F*OInh8T&2gMUdCced0{SZ|LbG z)v*C61=47!tCNlQ>B1t9{70WV#D$U}CUFI_t6kvCQ$HtL#!tYPpx2_U?)t7?XNtr% z^4y)A&#-Ns;YyPQ2b<2j@Xi;>^?dsTiTXt2kZD*Ye9+bvwDR64Tsi$objifX&ds}S z=&HsT#%hSGjQxou71R|3bq9g|yf7ZbW^GsAY7Amcd~2O;YZkd$7@IuUXzS|z*nee8 z_xgMx;yiivED_w1m3e=gU9dmY+`bqUSkM|x?-?Y_H3a?9xO{K+%8gf7*OilLrckSs zeFl}j@tQ3Yf!|_YEje3JYL23hYh!30GmIg-AMxs?Vkio@ zE<9S)qp1gdL!Smbqw`l(aPTJM35Q_zr&+=U>@de)Y?ZWB#;uQTlsS$iJ`RVAGEt9|c+IwLh$hBX1}L z+w^^uZ@hx;sPaq|*}G?yHcKu$U~2HqYdaUl8@&9o{dU1%YQ4m6htSnQy$H_uy`36;f$xxJJ#S>*n= zktJZ%>_iexcYUo@aWQLwCwGM0rcCZrP1zv*59CwLGVia$!J_8t=vm0z(Q+C&+#x6~ zu!za%YSX=G@^k0O9*IHb5~(IIpJAN)ucI!68)>q!Ca;Is~Lq1OY+1 zyKClmXE5;nyze*uxz<@O*J5U#XYM^`pS|}zGZUMu@5oeVP%HoEX}Uf}krm!V>eQlV z`PQFAGD_2aeljW7@7_k9$j1Nv-S{bO>a)47uOzcH$d@rmmodraF-fPd`s5o<8noiB zub5zu)|Qg+Z<)ryCHOZl?{-+X28BF&LAx~eTI|L_tJt-v9065+?>9N`SW~2Kg<{NO zNcp+mO39-nRdE0}>rn51j^k5u&&HAV!_*Hpjx7$j)RLB6Wg8Ie4G3hz8?pt#+em@w zaWEyhftw@|Jhl$o-cjY0%0@l0o5R2}qp;q*j6nCJCvRIN$vhFEEqA z7_09w5kJHF5O+YOsUxCQa)(KT#cfr+;2L49#G;koc5rbr)5ht)^2EapDQ-)uA_=l| z>q@!{5B8zGhO;W zaGnt|5>tn$a4^L$bof8?orkCK-_UH7W)=zRE zep$C*FFv|(iFgv;##mEtvc(#$_R--rZ0+MX2>o{Rx^Aru;{!S>tLC;@+JY}HgpE7G zHa{OogucniWA&D>_tyKNS~B$RUW9^=tyrgVXR`lw9~UmDXlU*;3cBsX(1UA&Bs$+? zgQo)$o;ea;Vc<`rtDL+t)cl67?`KUyhS4=?&~a(UeNU`Ua|mw;wq-m-Lb5lv$0%9W zqZ=47GqnH6>`+|wVes}^c;uJDY4_#uvoHZp2nc&lZvjq%k|wP2dk+B?QP2@{e)rW+ z;$$F=>*d*tI`#ac5Y1pe<&ta~R@OZ%Y+-B&h>O^G!s#$QHKrumK^s^GKYfyjTvEMH z%>otYn7;&Uh^+Nh%=?UBVj+cZ+voTPA9iwFZZo|NO0zD?uMnzry1uDa%fvKSa@y`; zSBPcus$*(mm-RuCc!A1}+sIVA#ELH8hfHi5gGn~(!AHybkU9fM{c-4nbfgLzEdwcW zuid|)sR$N7^F(+WlS=RgpFEvw>yz!o%hWJ?YVYF^pe86`YZ|}E2h#Tm(Fej^_q^r$ zIHR&NHf9e6zs7&Edw?v39|a^_YT3{hIy#y#LiX1ju5`f}kusf|U0sKnca*Fj(#U>& zMaO|OyHX%)f31*g8IKgibPFW$Loai*gK1!e<|OUyd?0%pTT#vDUWmJ;+Xz3b@*$r+Wo5E4Ct z*93=C4I9DIiRFh*wd0?cN>{`d!Oss}Qt7|w<=c~7oO^EF&4@ZMcqPH?IkD*L&+jK| z?zdfb_P>tdtBB#JfRPf0skE4)*kdAX>GJeSI&5=8Eedl@;~CM=)1=&|u=GoJR5XGj zr&oeFIMd{+SlL9HWC=+137C`!AkQg`vnl9BIp<=7C<5=QGF9JrI~J-sBD&EPdQGpZ zRk`t9zn{^ypm+)EmyyE8<-2kcmi<;Xr*;6QKwuLXvGZ2~KJc-vTszGsOx37GBJL3p zq&IUg!oLvoQFFtF{9?J1z0ku4JW}ja4VFR?0Y|K_4elwa#vUa%YkPAn`xHj$oxWOd zWn6Q%p*K*SJGmhU+O+Gas=~$$uPu zkBLj0FjM1j0}B|e2P9iYO+!X2-0eR~44aE}Zs}_2rz^Dzx_x3bKeS!PUz1q#>|=L4 z2ZiuKNzoC?B^NMcYSL4^DkGjMq`+z1rl`UB-ZiGT#&*tMqV^R1!#Q(h9)(Yqe8m)d z@G6QW`I)J_GFb<&vUY7$4IPI%r}(fYap2uJ)RGf-ePV7dOIi?5i<(&4yEnHS5zwQ} zPIB<+RpPAD3y+(+vXI+ajtY>R(L(6DF1wekM#@?=^%}VZob%yn=t~O%rfRN2ldd2= zPlI7;884V_rJUNKX@qZ&o}p?=$E-32sS*a{I5d2SOSizA#|$hWupXdn*?;`N#Z&a* zM~YelJN4D=wih1Jfx^afl~zN)JBMPV?4=d!!^Jp~+_!;yVZNMn}qg_gFsPq`~>7K}b-6xZ_4K-|*KDXKZU} z7S2z0E*BVn^q@1iv;LO%w1sziK(gy(fPoYV>%cf4{;NLP()tALnp~rFaUa`q3WCu} zBaA%d3)Po>igsU$MMTv^;}U;=>Ivni2&Wtqecfb9%YUz%&mj{7FCT*xLq%H9oz6bHOg7|^B2T8f#J@(#M z+cBAlpoG?XQKKzwN+-sni71vk#B?Pv${`RZ*mLR1+kt;I@^@OGmwBy*W$^Q>Lk zxytlf-CNRESQH@GY7huIU>Ye6He!XdhCY~im_r`tud5}Vv2Q%pGXJhFo%KwIp-^D~ z&LDl~eb^~T-6=>dI&Klo+Uwyn#cO~Jih>1Hoo>0H-hb7_;Ugbg>u2=`RKWxQiOuPmJ~mS*o-LFV9iama8%on%CZi=eWUkl7o!vhoZ?5${^Qv&R zE8?15r(Gz2np}?0|G7(L<@+h8VEL7ByromlEZ#p@AYU& z$(drwA+hAxZ^&V>%YX#1T_|JM3yYfE7o^EBmKFabh{03qHj zLT>>=f)Y8b@i_2(SyYY#K_6pNvT-a*rplJWO)dl~G*l~FUZZIZt$y_dpJ`T=FR=Ty z{^_e4wYY+m1SRh<$KwbBRW5UF4f)6TT@U_3U~yNzcF4TVw>wKSIDaji+D3S4V^e2i zilHSgVH}FL3?*HLlFdU&r{#R!8^Ria!Kf2%l_Rq>DwE(gW9F~ zOA;{J;@tauvHN`S`oc*wpk%2{-uYg}5Z`yG2>NL=J?Z7a z;7`{a@qMu`V$hATlfGhyn6OjK-pBL0eHU{)2cO>1>Uz1ZY4X_ffG?ruG~wx{jxQ9N z-un-~>q~IZFqntp7kweboHTiieT!&SBo@c&>C2aAcFB~m8nuW-D_Lbty@(G^%^7wj z=WWu4U1+Vh6y?|HUUsy=z`Kh9xr>2uAA|Jn6`y?FVdf+q?_Ec~nkm6+Vzv`fValf- zUX9Af3dFwVp?ja9wKC-6YB=T+t22SOF#*JwfHZ{wVnRS+$&J-03?((99I!v{5`<}; z*W_wF@hFM4-reO!oWOn)03X_tx`fw0?bl!eL=XWYyjw)x0syPbF~;L?0t;vzT{sD4 z9}D;BI<^Y9)tQ+XQI@y{n_aiCNp7actEeYt*_^|aogE4f6d?aP`zQ*d`n)j4TAv@0 z`_)?Age20=f%Gp(g`5c~fQ(!K8M7e1fVLh-7RV|R(k^wFhlWXm9%ZKz<&t^G!7MI+ zRyWSWOia9dOw!}Xxa#v>2_~V2v8M5a$WG&uuto{@qmgSQvFeL$exlEBv(IBgv9&Pp zjzjGgOpl8xDa(5|`)YtiRtkBfaIw0F<4k@?j?ETLVM(8pAU$h~DlcBB1qo>iEh#hY zslwpv93n=zAIXW%7+u&c1V78<5G^&)EZuN9FoxRIteo>(NDp;J@IdsUuyMf^y_+wq z0YHO5BQ>;wHq7~)feym`jPaVrV;iXpl^I!AE?i0@|J+S_@nH3EOK`s)lvG$SZP=q9 z8<#GM$q5n_;%8t$P+bM=t<;Ygvu_aaRH6X?se+mToe0m51w|%~o(c``r6fvj2Jhbz zfz(}q)PfL!)L%H?-RECPcaNWyj;R`S7ah9E=q<0k^Fv8S_rt$vGgv8S35qvOnn}y( zSj~svf1OHWfOWHJlfF_cWU8+MMaB;pcm4Pg0emYJwo{hk+2s0a!o}?cuBoKtBKPhT zd%44xzGppnhC;6rCp_*($3lExLi~;+4(L5%$Yn(LaiAXf+=ToGbl6%eY)p}$}3a9lPQyD+(IAZys*3VyDI*<-2O+Z|g;NB%Q z^3*w$DR{0(t6}i0rA=WXzpIRVq{AZZfs)sDl-%VG*Io^3(=ex+=+gYzt2}|BZT@(x zPqagy=A_QtMmP-E>uLVb6T&B0by1+D^Xkc^3;NzDxV_g#!`o2LQ!tzVi$#4T*@eS<424rpSOb{+zw1!z%lWlt4b^LP?F~Z`mEvF4jjU*?;G;2Pv zPMwN9^3P2QUFP>kdzb8p0kC5Q*>B^BA8uOp!)h6;J8}maqW@4)l92W@hy>O zhoUD>4dhcj!QM&9%h?hE#>aD9<7`~|Ww+CZ(d_^<0JSZ4xD)3c9mFK6@Xcb_uq5I7 zL!K4VAFNwa;vJJFdOV%pB8+z_#ijLouefWyY?>Y94(#R*2<*O=M3%*n(xlwH#_f4? z+JqXpw05y8U}BD*A@R8)3t!WFj-bP&;=yTX#!ip3VR-8E`|2-P{wAp(K0R38U7xtY zaRp9-RY9=az$cd^c-?5s!nR)W?7~B4PBD2B@SV_FL2fF~Z4$1!KZMkRg+oU;aeZ<_ zwWS^p&tQRwItjr5Yh<`$IIxc%wv668A4A4*XO9U^!zab=dgkVxZKlkI@`+f*qDre6 zu>vCv5{NyC_i?C`h!0Z{2HuUJK&^#DP}5o@BVMS7y?juUiyjUlL*8SC)x0D`;ZyZP z%Nj9`tO|j)%cN!|RM^@_{=A{3JP!!p+F5wrFtn6NHcGdwosJ7JsGNL4ba1%YTa7g# z*MP;N@IsWSm8N5yO>EF$c@k1L38_WLttmiLB$(n`eRkt{M9)5C5M(YVv1o60fcxxt zIzEe`u(T>y`xhqk-PbrH7KLj%N1c*C+?91t5L|FL}*G| z3DZ?VF&0@YOu5HI&gKniLpkL*j+tuJu8Ki#Pb*ho?oHs1PiMaCD)QJ~#01vI)eNNp z&1I4$F=txuAGDA$T8IfPM)T@}uAJHToU9uE^MaYU!q(Ikc%GN`mM>MGI7 z%eW{!eiV9{2xd>@4FWU^bt3U$O8mVB{I(`DAx@g^`-L4JaCAz}d(CN5Tazad#R@7k zSSm#L+ZgP2Glnk-#O@5d2qY~wc0zj9HKU$(VxeL%Ta zK=)(1i8SYHhIf2}>loNNB~Xm@U`$LU3=g1J8f**-XT7chIRaR%dA)YY>$|?f;>@k% zx34MbD%8zl^K*88eV}|@_FuG$NL{Ksl%RybdLtjUEYqI7pztFwG3~}T7eq%rE@Rrx zhjf{jO^L)zvBZ$$$R?(@wR$YKBTixI1QsVipT2-*EO^hwu3$K0^Gub|`dfaAL7vX5 zS9-DVrm-OC@Sc|m7-GTb$-NHqP+Fd`GkWGn>>d_MbDtBE#Mn6iJMa%#xvM zA^+(?#?GV)KI2UcY=c)&vWlyOESoo&STy{ciU#M?vG$ydFOa_tq9zkvd|DSB6|bbE zUZeYJ>W-s#Os-{HSurMdDJC8|uD?rd0RE`uUFdj(##_?{lPOKQ%NDub1<9D-9>A*y z46SM(et2zmjU_g~Pk;p9gyD3!%6MPa=@M8B3@_uel<_)5eA!&3X1Rj!MxVt(W#&z|g-I|6UahDsj z^mgOnu0?ys_yj(K*y6M1BiGI6t)KE;ENkN#?%6dGloUB70yo%6R|sa90o-8G4h+Nu zVtwr9Lv5Lxie0762OX7fl@-NF#~a-r-XwO-bkc$Fur<%(14+jI&LObaol z1q~b|FoorPx&8139Y%UfZd4{x&a86WNt(Vhf8nY9%jsrSVs$U!iMF#9>0W zZtOQGkp&%8#aKJ0VrOY>A2eU-vfLT~KkX~ia4@(g2fOjShm)P-pyE~DRD!L-eMnsb zq&9&GmI$d&INz;F6lkH$R4v|PQb2ph|HjSTqiXh?Dwtn3$`VZBrTN9GUZo~U ziwWJVEMb?Ij#XL=@)Hfc%{sq{4ah9sMISs73_M}Lmd-OJ#d+`EzZwv8^>z|Zjr3(< z?xq4N^$(-@k47zOdkrVA6-zlqM7*&=Ilo4s7}MA_I1fx=T0#Ozm%e?3A86?h22F*$ z9>R~ZV^MxH^220kSMCl*`SV9YQ=i^PCSz;_wx!uWD40Ct8kfDS{<8n15~$x#+ z*$wBQsu6!Gv#4xMzAW4M#;bTWWtgaH9y{K89vg2O8#0ZJF^^3;E$fs2Ea9N)utb$; zHwRa~!aswkbhoM1N}t`CW1F(RRZ)ObME-J|>K#3K+d+7z&{b6|JixRvFfg)@$(G;b z_cy5D^YbU>XJf5-zw1!iwaTqNVNivFo55B9H!`mgBFTNNr=Zw+6>Q9lbC3NBW7x^- z)wK(h;5|m1Ngb*mT(ZuJF3xDIv%-tOZ{WmnXs$FDiO;XMTwNF1Z&EY_gnH&fBO&Q9 zA=7cR2ceHGrlI2#nVy|j$D8~c+SYfnJu)7$SITDHXA{WmoHi%yVvom#8&oQ(i!Od+hDW?R|3EfkLJq-dB>+17giEXMqxj2&$7&B^ zf2{VVfNX;XhBVAf)%$<q21g5^r;Mgo|m^1tQS7g6jmsZcX33?r_rgR~4_85$rN$)Vqyld|Txol+>9WedSuz9bj?5 z3+Fdrz<&zw4I|^<_DrR=Q^_%uS8;v)Fag7ze=s9n46QnW@ISdH>*ojG@DX3n;U|rXAEK6`B+(;Y*W>S)L>@@ahJ568N7cm zKuj1QmJ$#(NkD~6nc@>^xQ$;+N0F=6|rnE1K*ql2GLmOnY6a zZd!u--4){N4)Jq^q^v=dwm|Fl^s$`2;`0@#C5g()T;3b|QY=ka8Ij9JSz*P_=YE~Qyf^J&cq z3d>rD73NV`)aGIpU7}NdmAvi@HxD8=UZ`aCGc;(->u$~<<2-E*Oq(+|S9iC|?R z*8weJ8_5~5zK5niSiIi^eHgyBE@#8sMCY?_dw1}vMhas$716H8F+<(1EX%W+ap|$Y z+o`e?ajGEga%DPfs5KFjDHaoQ9NC!kwhK^MVdw{!R!q7_P=1xtA+P)EkPT+|I6vQ& zPw*#`k&J0KD_O4{d`dja6nhqO9NA~V^KfK^#Yh?=!M4GSAl!kR*6 za=}kovC=Lo;cQdNyli!Sb7^77EFR(%a_v%N^*Li2FShg|7Aa z66tBS6!GtDQl{HqzVno+?d-=#fE3dj_NG)#Dr1rAV=;kH!h+15IV`W4x7QQnspu~Z zifL{2H)z29{G&Y~WVt6k&A&7!afhaG*eCm&H+G*l9*7=qSdVdo!SmHwO{|a21q1i} zNPwERQyfaTK-0I%vclcm4@k6oe36MB)ksP5^P*6`tMHMqAGF5jj<5I@J|nn0F`CLv zw9BS&PoQ=@2j|Ft^C|=EjI;- zt3F0)Ek$k28-iRS+vSjh=>sKTf7JT(lAFDbnOYC$wwD(kyE$??1bj9qcw{9U(}v2z zfa#}I1l%IX8v@{E;y=7&bML$k)#7-~3e}2Mvh0<50&EACATfT8@B>e;%X65?xea;*grk{%DrV)iz-(sKo|N8&V|Lo`MZE=n!8& z4XLAm)S}}SB>)ftrg%1tMlGoL;_DwblPH2MBs~}&eys3wc9niy`n|Q;ay2}})1do> z{i7ZypTvtyvlYN8bTS})6>~tErJ3uzl#S(a6Hwh8O1k%rE=MkIH!Zk?E{X}0Pf!^N zKRshJ!bUboy(|l6a6a@`j0bzk# zRE;Nx)osa!V9LS5H)qqXD3!m>TehejdAgk-nkmQu5#YeP#o;Z$LEy;7wj#f8epE$Q zJ5e)JcsWeZwe`cLw*|(f>UKwr1{I8H3V;-U_;mj4JzPNW)F?hfUjC-kv!6bek8UUy zeF0t%t>{@=)AhF-h6jOc!qMi$YC^%9!a4&~&t%*`pQq@DFqj?wyB+CDYB@T$5Js^74 z6|cUb-ep3Wxb`rKHsZhnL+eXL6XjII7MtleDob`&Ui4f6jg;3yNtIJf4oa#IWzvVT zs6&~Qo?v=Z$Iue5DK+sK&OagI=L+Y`qV9}+w&q+APv_cfNe3K7DTiN}%sJZ^Tp2j_$h`?#tgKU@F6hmEp_2!H31-LkBA` z*4nWfwaCRQzdZK{FjBfCynw?~_PPIg4-Y#(5DMR?+CvY^J}7CzLSGw_GLg`+dW-vz zm?#5p0H;xygVZQ-pwOb3uH4f6!`lSas(SL|wIJmgtuzf_(z`3}Rj%=z)q^VVRq~gT zoFvJE;<=!iM4Rj@F-j<@qLv^{2db0s6minh~xil-_A=QMBuWMwd8abyE= zuqx_()?~3h#(Y^F>%K*u7T?Zuw#MCPQOd0;l6FYwAr4QMJQ>HJ*QblLtqmt-O;l(l zUDj!2l%kb|ubzifYD2MKW!PoL_xSMiM?8<|s@#AmQeh_=%6`y~bK&lr$k=3O)>&Qt zz-|jN(pPqxEcNOze)@nPi`~_|)aG+&$JX8LtV*e)fY+h$-6>K^6N#)dL=$Y3gC@)B zkiS?fW$@)jVagA?fJ7bKd{Dk#GQ0-9H$_NPO)_cu)rG7xlH=f6>i_yIDxkx-n52lu zTw~>)5V>o%G_-MUuyQ8|QWjyKmiRH8sPg?ZrqSWzoKIIAhVu>%i_Z2NglKEidgpS9v;wLzE6Sf0{RLF z6x@R`rYdij3=?Yph)Cf2di1HYb6Q-LIXnxRk&Iz)X#CeHX1T7PTJ@*RJgAG-s{Pi5 zW8JW#I-1Y+dPsqrz$2*#CO$(+K=Ar44lurS!k8ZHg&eC}aS6r8N;k5UZ-`z>i+OE^ zk$vv{V_F8Sp(SD1pbfn6Js<1|wm}{!LR~^oP%N@fFbq6bU241|yl%l)&M*e7Djk4P z02*eJu8&W&b4aT3YdW|H=X1N>dCD577|Jii_TJGeW*oFyu7uQ8LF$jA@_aYtsnMvB zHa^430ehFZd`JZ=Nukc_r)D69}X&aYrRKq+v zQ0F+;Dv!pwz=rN*VlkxM-!R`yXl;Yv6Uhz`DLA^Xe%;;(%ta8Af|yqHu@&JuOilj+ ztaw0=tMla978a`V9kj%#-*S#hO+p;B#y<5-M zlHQ8w`tCpEhBX?#cguSwx!nqUDLj9o-Dr(ORsZ3GyL^b=Jm;|aj@e863O!U#98f$y zC@DMCTb@7w9J!Y^;iSe<1gbbBU4LuhdhuKOmr{O?G|HRNsctVE-cOorM#M;1VpV{F zsFPz0dm#r42*7YaE-+YMlBjHq;^gP+R3fQSdeLLR&N*Z_^=fH$QKKaoiXDTA7l8>o z2aN^u0w3;zX@~tS#ioGW3p}chyX?4a;pe2;4#;9CSMSjzStHh zniI`{mlvf4;>`&fwKzo=<5+A6hnYgKmhVkq zgo&>1+AhL`E(~@n`j^;!KZEH_hv|n7)<>%nEUL3kWqF*W9jC5%h?q6l&W5(FFT`o> zONGlY82d{lNmaBNt)!2Q^65I^@K_u@z_Gpe7!u`+hmPywc<^P>VahWh+l16}Z;)Fq zdL>*$@Pk#}bk<3Z(5zQg>_{oy&PckUaDY{%UvhA4Ou<(UqOC{pFUoq1imYUuV|s=Y zsM3&nCBQ-<3`futy7nVDio(^}v2*K^Tvf;;;d=vAVZz3({)b8fGxYdH^Msh``R8CG zGqOxe)vTB$V}fJ}d;3!j4$(IQv`@i2XsNJ9QoDpl`ZJ96j$$#Qsb02)t)xv=PRh7{ zDHm?UC2hxr97kUOv2)+}@XQoP6mi+EH`oLz>j4gS9TScULaiUcoMqBgxii{JTpBBB ziQwr6U5O-2u_Tb=$R?q;C4|aG%zH9K?pa{ukPKBGgt9f>c)9#C)XBAz{LWgB^6j)b zC4%j!tCxGfd4xtnd^sWB=t$uLClJ?R7u3Lskq>bf%i6j+(s%BIuqNx^gmnBz$HN`A zs~_53n@af_H;AzfFmT8WvrV|$F(7?D#Co(}giLz&3C)RtaaCxd`1mcR(j1R9zg;v= zePjRiCvJ}6F+7$F<;4)}QV1T1VhHRVP-_ngXGbs_wFpJeQY9^zO$OhT=T|AHVvH z5i%)&xi|caoLRnKA0W4LJnW*y1ivCkTmY!D^yJc-VrGTa6@%aOvB^5U_6C6mJ8ogyrD{!YwMHFt|i7o(S%(`MzV-Ap5FoO#p_h0lEo&~ z$7VVXV9S;|VWh_41s2elG%&L;OYdy_`1G2j#ug)JIK%JE(I^{9))*^V;*T*vKx8pE z#v)VLn3>{T2bvVG0ss$GXl^S$7f({O-LroF`no{Hhe;D7x)S=}!BDBA4Fm=X)zEqV?2+sfGnkSzu?~bsaoIC`Ao6;egzoHD2gY< zG!u!zF4W>8W9~|)F)j~NzR!9QJ>9T6e40ZP@ZX4wwV%7Lf<}2k?BjjD?@d)9J&OjQ zwT}I2t(fY^tu+g@R&Z^*n->P`E#L5CDc!w4o5bjcuh=^iPfnz5n=)ykBt?EZku^oU z74jfFbiNS-@fq09d!KLM9u;6oAl!)qB6`)Zg%c0wA8a;nSmLTBEj|kbIF$30d`Td$ zUEl=CzQC5gDDQ;1c27HDwlIb?EDDoIiP4a$JJigDmN^C?U!Rau9)WX|Me$maDK5org)M~}FlOwcC< zKYJWg60Er%PPHUykxkAEv*-1;=MB8Y>n*@bFkte0BW`2oTrpLnFfXZ*aHGGBV*U(* zY{c=pZ)3>0r)Tme*~q$0KOaJTgCKrEFu!LIzo)mnk=1h8jlyIfT;j5=FUdxh#`(To z$AAw?W}WFUQ+-=-X3$f9i0s?68s%R+8~n0}O9tk+mGbPWs>mmD`Vb3?yM4P;-}+|H zM#OmH_h>qFYMArJfPrx*-WcpJ&G(VbGOheG z1p6}t^4S~G2S5bO7KD_LrcIQHTYio6|rGTY@!!XS zBEZ7MHz~Ny?)Rq9u2+NjFjW@%k(yF!agLeWhGV+9X5!(q4-)SJioe*DL~@>c4?R2; ziyNPtvjOwX>6ZVRA^v-sA>a51wK*WI^wV~uw`-QT6jh>X9-M8LXf|N@p~xk#=&AtS ztX2Ohae&G}NgRWovMUm5;24Nf^sLU>*@zIz=dG~>uEeZv+v%nyVPNJ&dAMXHSe#7n z{Ua>=d`!_lc5olTVX6|eu|F61!Q5uP_3o8I(qg8suQGhG9)YUp%B#hdEOO+0X_{`H zOt%GdfvyTLPXT5OeS8l*wN#j%FjEqz&u(_3zvN}9q@$yYm1&$wiQuHh@*|>6TEi@9Ig_9!_^CaPc@)i zYtS~p*-fUukd~M+v0;*7d~+OQY0p`9+=J{_-_6vYZ*qsJLwv;`-XJbR{KUXn${EtG zvoMcAg$F4O#ilKcjW>cLPg#_hRn{6ADrE`8Hvo3bR`N1Ig>?G85x64NJq0|ybT(#v zs0S%(RD_eq5S|NGC$oWv%X;9m$sx3Vt1sV?Qlrwv+bdQ7CbG{hiR7D4PBp`tEYI`pc*~5B0T`pxNh&gmCz`6ux!x} zyB{H!Mqj1sYp9CUi*|8ks*83}z$@E_FpFA!@@cJwDhWe*Lbuk??OcbhKxU>gW>_pUgjS|jT?QQeCOb68 zEI9X(HfqU;^1xL_sK*p)e8JSWP+m)Ny;NNP=+V(sbDQO5z?G%`!Ih(MQ(Ny1xtdKY zj%z%#kxJ*`_a0L4wqr@>36af=@a}PDCmE8L*A%1C8nrkl6OM(qj6ph$;r$Uy01VqI zj?qiEJDxS)_eJyO&oRWKxw4g?7A%KeKVtdOtrS)>N0vDN24-a=B5m|GQWLFMaW$v9 za51f)$M|(ChL=%p|8N?-5oOBz{@tTp5xEwzgc!YDQS`S1_xNup`LxnAJr$}D2 zk))AVOX#+5CeM2`nIG_33GD13^Wd!=`IXH7`FYtp22GZKd< zieHz>PQ4^XAiCALgAwc3ooXH+)1A!*O7<` zMkK-xjyOUhhLDE=>U?pdoehU7Lg#MO>hcJTnHyqy12-KV>8ODeZPdFM0zlga- z*;(>rykVS|zgK5Q>lwS0K=tGk5_iLvddk~DHeT_;ohs{}kn6J7Rbla)RhUaKi^PAm z4!Ow+NINLNAeV7N{*UcVL&{5c*v7v~)o|xb8Yy8eNjc+q8{6T^)igS4JCHqJ9uCV)i+L4%-M|Vf&Wqj!SA}agI(D_s)|<)4H&Guk_T%nER*rbqhNkBJg40U<`dW z22m#zx2Ed#I7h`(Q3@)Jw9U_~!Nf$zeuRV70vM$gLmf|sB5Bgb6yx4jeYt?szwBd% zLpqGl1fm@u()ScNkeI38;(GZE0mGoiZw)qoe%ElToFhQ(JUNL-Y zlLbT8U|mjH_(o$9-`DadaAh!+%Xk}QwleWls1ODg+%sv2rYf3jO10G!l-VP2F=E4oNv>(oatncvnC*i7!&{oV8( z$=-+a{i@@qVw-P_Ah@YxLz$#VkK?=)>Xe1y`+n{2ctb$LHP2JdLh+}Is0JR=kOnmj zS#IT1fR9a;m&j6B?pPi{(WArQR#DT#1}1*G6#3s(FZfRgCB93T80C z+)p$&sZrj5y>?cNA=@?oy?b)=E=tx4jkEX>fi`N)F}G8)nEsw6j_pDig;bsskp#*~ z(s3ZCSsR~+Zz-_`n#Itmt;Y)3~OP&%1MCi3kC((A!mM__#7Lo3_ohA$S`{T0KR!feE2+!}`2#1lpHw&s&82=oh0Pj`=yxWi3@&y_G!nz`?B3J2j zFM;2Dv#904xBf=YI(anfLBCfcP5R2Jiq$U;<`*lF!hQCPijuKMD>38tVraivuiPHv zsG4+Gcz^VVrZUFnSq-(T)>ch4g<7wc3U1yx=@c7OwR}*$UxqW*T6(<76SI}rU;=4I!3 z@;S5R4IeOrN;k$u`ictz&Ua^TK)r5@URfHi@w{e{6^hT*8M?^xNvgrlwhjB8<70&; zOM-}JN7%0oCMAM&8AipV4b&l5s2s0&OBjVhvcYHTz|eIbIeO^21CMSy*u_0N#C5>7 zU7VSt*hW4$dNmwpi5U!W{WS(-1votssgVfKJuXl8zy}TD#01|_TZQz90#k8cJ)G$8 zA>XZ^L%!CRE<~EAFwVSv-lp;pF<2c059Sj9N*&jR&cc)FU#|fsiiyAo1d+IeRm0G} z#VJX;gr}n8T8aTJN@@vS4;iPR$8{ zk4{MnHg7eRWiDD+$0FC*nlG{~*x@GF?hBMo%%ZGs2xN~VkN~S971-ctmR_kQ7?(93 zxMZw3e2qJ{$W-qFu+0rG-hTD{wa3%2i|9RP(r*Hv6h0NcpdCF~K^aHY?RFuHvCanv z6VKaYs5{-9*0T5DV!2Tl%cl)&0!_GVaRU#e`P?}>{nN0o;aLksRGCC)ugWBAD(~cs(X}pF`O~8@9xH7mDZ`6FR!Uj zjXv%soR0qzBiLtFHFh*9mnPlxg<y*Kl2lalYNb`^t*tB8z!bIRRQ^H-@ELfX~n z4S%vf5(+PkS&+NhKpB#wD;V{PO3C~U)PV+E+Mg%Z2y>)Hx>BXU|7BCbow~!y7dalg z(%={2kW2V0jmX?q#Xv9ak!Fi;@pX3ROS$xGEOVU;o1Np65ksq%{|?&;Hcr3KVA%GuJN z^ivV%8#tq(3;kDY$QCGaW-?>8a%Q&Nijt5U3+dba8dc|7!$XWXw&qGx;WY=MM{Bhc zHv4cr=|{-iAZ(2(Q+})ivBG|zDtaaN!`-thxSv%N7#I8Nloz}hl|~7?at~&VRgm9v zyPmCh9hBL0x5a#J#+u?nR^s-#drvrgVpKvHuj59*2U-;oCQBhs>m*jl!k*EU*S32z z9sR8u=)X$G9@b4Vem(gBI~h@A+pBH&ky6VylJ|Mx0(*~J(XU1F8RqIi+$XIhz3n2f z1ka6t$5uaC(at<#+}@OKe}A;H2j8d}LAo|{Z{bFuUzmg)S(p#k?q^&8*VrPVTUZ%8 zjD~0IZJ+r2Hi;GLrL+$Mo+B8XFT#7f&+MmejgH*EkE;Ni)3N{PU2xh1;XUc zktFT+b?_nwKNAW(q+w7x_vo!M$Qnjb@Cp@E$vW9bb(24@0{+%8h~9F9Ng8+;9moo# zu%Z+4XBvT&)ZPIB7D+nyK-zj9$>=;&(~LEAcx`(B5O@1gVK#E#MFZJ{O7o%~p*Bl7VCq5m&Cfg8%z^i<4VkzxQi)rDrx8em5&(VPl8!#9KO<;>Wun zEu^S{jA#XSioWpx4J5zjQJ2$tS8*RQ==sq~k0mOd<6c*sT;G4UGAIB3_hopI?W#*B z7Jmtp8fxvgQOQedgXlj3D|d2XE07HpNYu)LZMuUz-W=&-_5KrU5BB6ANiuli?n1!tQo(MA1x&Ud$uVVIdg*A@)n{)R0 zAL;HKxV)dQ`Fe8;IsM>X4svR5$HjQ3tKDfH|2L*ycCBLk*IJsN+&|nTI)?9mR@>kq z{{d3(Zq__pXb;pVs_c-3^T?)bWI5QV_xtd-Z;|NSI*=~@vWJ8xRr?&H5vuU|rB7~> zCD^25^@9_Ic@XdpU6)4<^6(J((nDdzcR#TQtT2E>?E@4n3`$#X?pT)WA-SbfRyS=r zOc_U=a~#N&%Dp+M1*R}F^y@btLz{PC^G?i4H5CWOHN=l}GxdvQv!>G5Lcai4xIs`y2yc|<#)A#Gh3k!?pcwu%KuD(uL1@Jc_+LfI+mua+h_9}S<* zkBFK7PjxP2gV2(uUM*RM*df~uIQ~HK65}I8x%Zt!ub}B3j`ijWI5DV3v%#aS)BE4L zpc0;~9}zn(C3{9Y@VmKcc~d8@4^n>w4e}!Z zMvf%;zONf?^fh-uevyKIW)&L47f!syKcK1rK%sI~{{D$<`3uJ3Q}}Rrph_2j@_3}w z-On=|MKM0Vc4NyZSq6S~X1Txwzz(R7Vznd2ej>ZAn(Z!+|Du2Wcla4|gnS^f@|NTs zQrIZ56Z>~n{ndBr4n`+>r{PuLF-|AD)B@lnXec>q`1s#0?)iGp&=>i?^a z9x-ODGt9g&L>B%7(L3NFIYtYket+Qhe}U_JR^KI&%~%=>76zYlNmTz}dlYj2>{Ja3 z+b496`g%B!XVHb)H_E#?cX;rie0ptdDtT|-k-g<-!+>jVAx-;``W#3Jy`!3eFUb8P zmDQR>)Qel~SyYQ}`Tb73#QA-%!hAG3EHH|G1#7B_1eK}9q4jIoQ2_J50}xc|W~mkA zoa~@Sj9-t?eFQMPgHcqg20N$t|MJeM@0@_S-zD}1r`aQQj{{JYW*fVgNONSt!dN!q zzeIZYaP1?|`7};|>Okwlk?|h_p4Rg}$!hm+Jw{zBX6v9^h;#fG1m*vO?&mabwe{~- z2XGYtK%fnvcQOCuLyiD*L}7S7d_enWADR1{(0QUupP&Mh1)d%#{N7#x6#I7*1*z=v zGnK!s8!e#Pk=_yLd=sg!LiQtCrG;apwg6E=OPqgA;t*~JpkWZwd|P5jq%?|T-@Baj zvs0=WjFOzJdwqa>d-Ic9hmQK$8)IDXTs1UCpg7t|Hu7Jy2+NI~($E#~o9RY~327(p zx*Ft5_|iHY(Tv<1Megh&X=Zgxn$7W%3v*@PrY1Z~x8}DjT zlJ;4Ykd5#{Bize*YJ57GrS<5paHL;5;UC3&+%2p4yoM(pdMN*C{-9G<@uMK7iogD& z=UCVr;J>;5kyyonxAO5n5~8qs8#PIULU$4kSN?)Bhb!7$P}G(t5!Ppv|5)~9R;i?$ zbT$4hQgi2Pr0n{BY9bBfJKJpJgxm8xM9j=+MM&BKw$3_}PEuQyN z;b|V#Xm3gPw@P# zLM8ZXvGV00_uizkx&KlT=Anhp{Fna0lcMtk@T*-w$=_q)*mvkWytgJu-u8P_oc;~G z{AZf_-*DWQNGGI4^!$G^5WXNoaxS32#K_rB{ixM2spY2ykh5P9qP1nTShBpcX59zR zdpVCRGn@caFz00DMf4xkoz%kr9gE;cZP#ryMA_J2@haS>ivj6{1}sQ>nW{;!G5K_Kf6B$IFf4cE_fxO$BF z1La7PN6W~^08^y9k`9o@GDxJ0e!<&4qb)eYzyiSZFXX=sjenoUiTWD9subwP6CLS) zstZA9>^q^nl|A!LhE^dbra5XfXkv%lc_+CShLq-ViNlB;aE zg8RSef=Dedz8}pM5fhujkS;7WKC8P2yE+&sMOYiDI52l`^p3y2Q<~bo@U!?-xYJBB z;iXtan>`X<#~5OD@x6Y27qs2t*QOn7kt6Yed&m~)1vewV=LhxYJ_GIq97oPS`*!SA zpnw=9S(N}h-8qr>Xt4rpD&TMeD=MP{`H)Y0=RtyDvc_Lh?AR#1=hclM$tgE}`+yJV z&SPD5g4P_r77C`(tmfZeYJZ|@rwJ(fV%zop5g%k<7xd6YVpSS+{)3HV+-;%4WGr|3 zfuY(F-0cNp)B+65EdV1Ib#tIs9u-jQA#EGg3flgp)d_)*vJf9seMDJ^m8CL>*l)iq zF!ZBIasa3=fsVKDjwUtP`|$5Q4@}pA#yO$c06~Wjpc7nrTHr+X9$yBK9+XLpV%_M( zMgDg6jxT|RfM2{E^$2BmgFnV9dRKtM@YC#lFc*!CZ;S3G+MJpH zBPr1w5^YDLjm2YY(uA?5RPP@bIXE^C;eBKXL}Bug{$vQyo$$_sCm|<%Y!K(%_pWT8T+ze+nLfsA zaD+oH+Qr;**7Foc=6|@DjclDvj#~hJ;UC`>O*Fvj10?D{Mxy512gyo^*!~l_i{?J) zqPkUj*nf8WZA}t9_p-Qh+;1ZGcO4%a`qJ5}p2edRG5qxJPJ$L=y{_xNpFT}rWF*_tzSb(pSmVc98KG5u z!sZpBBkp{cf|n&c3%jltALp$=_Tskcf4~d`2g198WdM-XJ8@I@;_r(CK9Gif1;g`2TLmO(#EUOKbznw{QZr7%@6sTwQL*i zDoE|>@_?h5)Lx`d^;;&mQ0R!86W3+8Bz>FPMtItBW&7!Q`;&sy!8TrjyJh8%QDXy~ zo32^(dtTT0i=cG(5nP7LN(<1B+Jns9a3GJzYr8RGK$j?45$uz?HhKZC?-nl=v*>$Q zCXN8U1miq%Wh9U$fe#lJH+?H=EC|pOQL_5MP6kBZnNyD^NMj5Tu*`#mUcfSoBpOf) z1b!LyH-6|`o`iFk!}ED>Z>$L@X6&~&AEKJMm^ErD&tWR_P`}UoFDjIu-YlWkmgyaO zbIhCa<5H3_E@ZZrxb9m;sf(O>?g>G)4v)W_Ccu4Zb_7xe?<29;rL9!bS6)N`hF&Bu zzZNBNsbu<0w!5~Hw!tesXveH&dEL1H0cck}RDBL#aME(Dv>#w;WHxANUp1hZ3A}iJ zJl|)VM#{>*MfIx$X30Q7!}yB-7lizE{S=XGudUeMC(h}=sZ=_dwyP-QzhWaeXG`ZU z;$BCOEBV{BQ=9FcbPdd8^NDMpq4u8(=;51x<;v>c&J|Mrz+S>QfoA&L_Vnt|GHPxb zy~FfJl_`3WFm9T=_vz%4Hv6|vX--mw>L~d4gq;uX{B2;MVXkjAd{{dCKFke%Ig+wg z3kE&IQZRsdWv@?NUHJM~eKE5Bk^80ayAreuSC?A+o=gXh`1`|L7bP%irl}0W=^Nan zl7}9_8piP3$%+yNwA>@+)j&Gk_iD_msq|qt;$2>L&4}gk5PC$n=ZjK4H(`+(qGvjT zORhMVk6s+fVpG%(TF_Cg<@xjFHgw9fJtXrd+#}!=PB^?dWuu$gtqjRa)`BLV#`Agq>v(aw8e-F$288TOtd8ICqqTpm7OqPXZbQ?) zh|TjLxw;U4G)n=RMMk+J+b+EGQmetX;6FtQy-2Cigq1n%_p&TYJjl+~bG5vR*9dMF zkNAhGcy)L|Djf<1oLUh)m4oOQ1qWN^Wn7TO#qt|F_A8TA@7Q0_vU7ETtB2+}AMiJ7 z_|L`pu}vV(V$JuNXZme+{P`qRk#GvOgtq0$+MwIr^{A_DLdtXYU?i$BTV0HT2$Lj9 zUVu>$wF3hyl-UbVW}mOl?C&TPYGiDagO=3~j*tUitB^bz{rH#YRY?GO&=LcI8?kLh zG`M14T0N+tS5%JqH2CZ@5!*y8-IdcQv?!AoW#_8Fln?M5!5eI_FC8Cn2G?qtORZB1 zK}{g5ML4ZM8{fUFu*r^Y2L~v^Om8hK^Je$;Q#xWB-Wi@NK-K(`5k199n=896DU#Jf-=_ z5*g9@B9G~izG;h9eJ#}HNV=voO9*PT$FUrQ{>$!V%;iz+(3+hL=%8Z+fj0DTPh=n_(ry z1hQ%{G&AW2PV%C1e)d{EpZK;n=9`c}i;yS+`kN5}V;RH5PK`*&jtB@Sd!z|WUY!{v z<#Qxu50cQ2v!0c?&aUe6-OF{oP`L?+fM!D$nIyzQTtVy$7kPDYTy)>v32fG5(lOF! z3I{_ba`bYam{)rU$6orUMcc7mVZKc}7kGvcZ9qQk{YdsYUS+{PyaGF*;K{rJ`sb}Z zK?fzwyy{ac;2wvMa;?B1<`qDDf38K@NV@0uyE$lQU%g=-cI5#6Rjj@=HiZFGxNYl9 zqvw(^EKgvO`ib%MwHy5a+PXn{BNVNb0h8t4(z=?}0XsMVlJL>;>`bqCl|QhW zw?X!rGw9+y77J{n{IrCF>SA9pdxEGflIl_gy6dfi9mw6IpNFCh0=f)G3Y@LOJEzkP zJf8i@Sfu&o@S6}IUv4r|@Zbj&rzbBgTE<;IlxvwkT;h7z;l)HAqK`5I)b`3f$FF`H z)q*B3=6hMUKnM!tMLj7Z?r)Srpp%nCoeZ$wNGFM1Zlsg5KqqPQH`d9JQk)|mhshj# zRNIi7QaF8xMNv8UMkHM=3&ml9qsr91S189B49d@q%rMne{-zk$IBff4(p4ZT&OHB0 ziOeyn3j0Eu)gV)C&o`p%Y3a=F2L;f*egR<0izS{Xw?CDxX`2^VqXs}30Qei^qn(d9 zrmI?=x*u}C!p$R)6p1iyw0RBZmWiV5b{R)GhtO|?7?(%ff913)5kMx1L;>@Vz({ZM zi~qQ?C4ef(^bmay=(Pju1Uwl7DOum0LBz2;mp~kT@jZ_IED-OL*q|*F83tJ%*ubs~PvfJm zAbLYzjmrw{{{#O68oI-|5p@_RA&S1gW4I)aBKRX%DtcaR)GGO?ByShCmuL7gq( zQH8b+=(1+dIzEEST%;d51U8VHa1aF?Qph`9kU}ytuf*SyLduEq9Bi}Gg2IUcBt=K+ zasaPG)*7buem4LHLMevt?|>7oPjVxToqpY^LEk5FNqJO@=$ z3cgTuk~9QS$%J9Hc@km^!9-J(LHw~va zOrK5)X%+(;EJa_sOuL(2Z-c{LOl7VBwAjVSUc5?_=T5w<`@usl#>(&zTqk!{PvT@- zYe+}7`76{6PWGZ%_E-zsW2H+w+wUU7l9B^Iso&IQp+_U(_f*o;pd&st@YvIo&c7|% zyc;qV>hWg;?vHZc(+pN5-lZ8Vkd0&w7jRB#pS^TECTKtk)=zkR=?)b!%-dv@cww1R zOecOizG8X|msw_j@413Y5)4sc5kOyo^J@naPFSOA!iu^^4#jvFx9$9jlWX7|m-R0y00Um?kz`C_-p4n%D2j>m77R6R z;UsAqsTgB`J8sd!8P-)iatVBKu#aC*e>pB*r=tMLwJoG8*~u6l8UET?tKah!HnK;z zU*;6HFZ)Oha)Nu(_e{E(!mJ7(^3TcT@qplf2-(nA=Oj-~9*W@|O2r$agrt;^E~6&$ zT9kzOKodiELK82V{eqtW|CS+*jiFAu^vshawyBO(yd>hqp!gPQ(!jFTm}Gao5Ot6D z0Jmy=@5gYtJZb-OKqSnw05$iJJrgjPQwot3T$e&rjkUEfv8X*+a29mBnsjF zFa2)wCuwBizk_)T4lfazQm7NrjYhEUMX2e1@1ednNbmU1*jegjEnqEOL}05jD$4TbRgD``$oL~eCEX+jY{XP&CKr4|9BRBE zLRLE|0@*17&WYd#8~C9{%o5!ZPKY(Fj2Ztx0Bu9cGA$5bo85IHyKA~~=4z2&jaxY= zu_q~k&s#HjTW3a&^kg^%3#7LExIsc^iG>#BuKN98Q=!4q8`BBa?_d1uO*-g8#E+2> ziLD4LIC|3BHNB5#4;2rU1+6tIz%+y*SLgjwrc_ujH&9^Qzrj}2E5xh+jkqk1V9lUG z7Z*aVzr^PRSU`9k|M?=(06^CBNJJ`uF%etX9S1Mb#}E-S@yonrz~HDAnvzRPQLm(LiY%6pW!_?tZ1 zaiWXb1m{0#?Ek22`3qH~;DR+_ry~`c z{|Q(#=Gnk!T4&}lQRH;JLM`vC$JRuyFHEONA*)TIT5@?{`_9UtN4)g^ou?@F=%+`q z($N>QE_Jx1+d$Mq28+jON7e^5kxA}WAUq8DRz`ggR1q)`B=TfJhQN)*dx>NJ1p&Jo zZXx%CfP4)K1)N(E@n&e}Tv3;-uexN=R7YE=qdVom4K+xYECd;@*&zjvglC41$Rz{3 z9ui)~5gHh7a1e0;`GBN6QLcLx=RLlOEC*ueTD*I=mSts~E(L;U7Dl8iroH>V9Yb;5 zTc#4CAT%%;l&U+)d-s;_xRDA}|!-|68Gf`dBw^(8YzQXOMXkV((zHkKlY;5s+T#E;_Nr7_Tr4HTy8WL);!A>pCQe zeT~R@X(Szg2QA?i`h zW2O;YA3pMZPkWU9{8@~Dd}mV1WRLLt4;wjTEB;SVCjqQ?F!(-K0kav3qkUi6hfvDX zh2s)0G)ji(Vg!^h%)*Kfpp!5lPpu=9@fETejy}CJ9A=s2Q}9pa+}C)WKf>UL8J7hP zS_-8s$Pi-zpf<)LKl{-i$~0>mgPWk5`90FVNT5X4=A7Jgq=j|{gcA7jYrnxg&Y91qzuVAh|l>&G{A^1#?Zj(FB# zuCf~=>k%RdzqD&%KIlcQT=2vuF+opL6k|y74*5}{B_(Q@94~=8hf@4v^o**6E z!HTc)jQJW43@`u~gC9GG|P3NjF zqZspLaFlfA+)y(ng^-0v+F8E{!c&q*NYZ?6eTpFbHSv#(KL|^@ zmh()K>#Efup`KepnQf(W!@oyb-ZQ1z*gO}?EGhO5^H1oA+Be(0)&EXMo6TgDjhy$` ztoYn)#5Vn!$r_uY7ceuF!@MUxe?F9{^H2Y*y6;xAp_00C=jl1&QcsW9<>MVV$L1S6=+R)jWcSn>dT_ z42gy-YSW$Ihfd0VWN;LGM^Nm$uL{u?viO9CWn%h=}W_wr@X4cxd_Q zn*xp6)IGu(dh1`iAn`{dMcJLErZ$7DiE|g6a9wv{OvL8VS?bW?B#(#> z>pPY1Y%r*?ZIE>8!4K&2;bk`kWYo2yjBi`uBIFV8PM%GNFMm+o5~i(3C6*k0Wb4{4 z2ew<{=uI#A`+1sy8h<+X$EZ%1Vj!XE3P6##RcO)frf=-zmj@5^zz%M|gE4l# z*ohkFUlFzgh%#_Y={h}ns=9Zucuu*BeDn{Y(RqPI+eKlQtYQw>V#F6`w{-nxX9ZYO z*1MCouc%E8-e%^Tu*5?v?S(s1$kJ;s5(tj5wD#FEw}4epT{|~2rS%U%^BZ*kjHhh~ zqn|WY()z=rVceqG&u?9kpTcFBMiuu&9|3e>337MTYF8oJKY4?8M<1@1$P1eyHPTF@Tx9p6HPi+_L6aK*X05rOOT5||#~(r6njuqq2J@!S0=HEiol&qYa|dZ0SnPD5 zBVL0hwCN?htJTPd!DZJ<23g<$BF-i(V2uc}`3M7&a!LeyIS*xWz=|c$gbb*F1i;@{ z=_y>e<6ZG{pMdqKz^qTZ+uT-yd1ds8JOJjqe!!~1&RQPe84%EX(IxsMRDGj6I%@y} z6@4ZY(q4~cA|{++U;WVCYJ3X&>X)vu>!Z9hnIdqPCdQe1&_j5ciI?bTaTq@`3fPyq zMNtJ~uF7I395@CR5qq#5Ce8^PWTgb`exAVyN-PF&fgZq^16rN}8;py0{I7I>r}MAzycgcbQQ6C= zB%F~!Go#>rS^js#aqZriML`2$6!!oT&)|@0K^!E8D%<<-6aoG3;ra|K!<|N#pGH>= zcIoX+FwR2*rQaVp_I_=4Kyhl2>I6|D>)C!s!J9Q&>K>)5gSRbMSoB(DMLMu^^f%_~g~pr7>!?rwAQcp>gT7f@q0OJd6-6HbY=Vmj zt#~R>FA;}Bbxpclrr<6lR)!K+PP;O01l1&gDPkj-#{J)g>3nIakc(_a;ap8j{jKxI zS%1asWWA=MBETOOypvuWpIGr~x{p}{HFO5mbU3TzAFuhQ?(yd}I9xODP`<}dn_uya z8$PqJT!YE1qXQ~;CD|u3DF8OWN_La8>OI%ON{SIm zWjv*3tnydHc}fr-z3*v0{;<1qg2EuAsYCi!YS-DE8-a}$_RW{0D}|!PK6*X~Gk9zC z!1%z&mQ%uycMRW5xknWdtJ+)qgJb4Na>gbj9jaF)r^m#ML>;+LYK2f7nt0bl(PDpj zZd=4|oBeTPYN7|u6n|0viPzpOYyC1;CF5pTI;){j&Izj-HU!?nbj_Kbm)t>BO$&p) zvxmVL7G~<^WoJ#8V!ugCM&|+MlFT}fD=uvewYmM@Fj>Dd7_}efKYnKOu$5MlSsI1h zo0?TqE7WWB$3^tCZ_pS0-;HHE-yV{rj+eP6;jTfKJy-SdVApo4iQbk2ThoQEJ@Dgt z;f_CDldrNryvOgE+ki$?tmB})=tI-}xIh_!jAFsGIfvPC{rlGkDMy{rba{8fkrxLL z5Br9=gc6>r^ghh&ln!f8K*tC3gxq@n`9#C!k)Oi0aN6p-4V;JX^(aqxKD#1#=S;3A zn^pr)zhi{*FPpyiTVVQa?(gm!a=i^h-}8pO9#S$@$q|zG3_z*-Ofo<`SiGh)}kT(!Qp|=6QA? zlh?ym^8_{fhqvuD**}F6O?S6upgc{^wGUG$jLO`m5@h`8Ni|V1cvYFgP*YQ_Q$oLA z;%dV%et*h-#tw@??@F0b$^ti~Eh9K3RdbH$_j$*pa0mG#ZW=a4{j^g3nQ^433z>Vi zI!fSWTzTC2ql_(HoI8fRx+Ep@9u_?I|1^0#CotuS9slurqJyTl<-_UEDcw4FjQ;_g zJ26YF;oXh5@Hg?*{{rV8Q+bhRmb*<#CKUJ)*(zN0_XB*(Y(gw{e_FY+-h_zIQS1eKhs`J1^*We>;5m!&n$&Z#qR*!>=q_+lRsrDEL{l z6a!CJb<(~P5EBTfI(uVJAaje_k;ga9c2)g!*Jk%+{u6U;iq@Rpv+-8l*E>uCwFjd0 z_)wdUUU!_P zbXnSa9=T>o4Q76rYwP4X$y7Zd`{OLbBlaBasTmWx9!JHP8;$gaGODMalsF3_Dw_PG z?i=YKXN{SpLoalWPJh(7()2i!>5Lk@Hq~7CEseV&Vw+XV&#im(dpJ7A(}MQC{k&<< z@#mkljcwoW`rF`|L#E)({Q-Hq<^DF9zKi|mq@wqYG+N1>De)gSY2`bG4nGc%XFK>> zS9_xQGAm0~_eXsuW1%Z8B0Yz1)NXyS3sT`T(Sq0N&&fV) zrigxcjLqlPt2>wPUO16&NpVj{y#6UR^Hf?rH8mS^qeN2G1<$IsAA+n#Y|Oe-2C1LV z#PUCK-5bka*L<3qrC9CnyCRovUpA+tJYg^)9WDRyvzPQ{_X6p@ebV_(Qe}Eye;UwL zxr;X5xu)>-f$d3J>)XkO$24!%`~y8=l+st{VWxIek|LntV1fvT+TZ3<)YWHlA3cho z+s*grqz!1@q1yf+->`4Z+0?Pu?!T4e(s=XH&l|U!X3Wj@jG5Koa<6A8T?d=qPhJ9&Wk+K#U-Vdb1?L_)6NA zj(3qmmiMgGuhz?b)i%+bKz`lPVMps2`&8KLG2K{2F#}TBKvmnm{)09@Jz8M5Y2bN7 zxS?tbtAe_rovgpXd1L+$B9ASn)P`GjI)_9`^xgfqxnaWh^sng>K}$w@ZJYDMFMKGW z-92(k)u)hr?HGu+KDf#Pqoc5LwA6HQbaIujbab(X{1jg@H3jl64B8v~fBL`RYi+7; zB$>Xcm z_I0zx>t6-mPDXd~)s^ESI*4Ac!c(`9BLST6``#T5h;0A#xTvTi#5&n|xOc}Eapdrc zo!e`I_teT$S4vJ;Fx{CE6HyZz+>z>a<=&I5ADs#Mmu-TLEg1q-d1MAJr*Vh%24A;O zYGTsI!GtC2?v_zUoj*Pjb>Q-s`I^5=q_i#|A`c9@<;YsA?u9Flmp##H%(t(v_U8PA z!e+*Wruu!=y*;Q$sd-zqESQRChkmQ>=|~}GkHR}MSz$JLm|GsheA*^NC+)g8Tk7hC7S zyB|ls=_5-4a8@I)`-;8T3jnKgR4^DbDe}%bIsJd&E!SFnY>jQRB)ohmXrAdf?)a(0 z@91()o-n%9Xux-V=+12Xl@HgVbz}SU2a5bH8?-*0lKq2nntyntS;qNgnK}DEsW{*1 zQLpK;>VpqYi3}?k#>R{wcWvf4?`o~L{e_8XQpv6pS6+838c}WkrpVVb+l`3x?t7(7 z!>_P~O)4kyle#d23&TS?!RrhnA>$9P$c&3#2vTQ~hN|J}VQym;t z4ws)t;2ZWo&*|9WQTgw6y5N*=Q`rQ^Q*=~y86s)7Ud;@6qtPdlFph^QA*@O^C`7u|iIuD0Fk0jud|HkK#C zeY@?`O|B$1w0X4sHk09ro$eWQozq1Pmeiw$@gZ8qpHAm>IE_f^Wlk9yT`qGzYgrp} z&*@{4uGXJ#yWiS;c-TS)6iwnVhlT&isSu_N_`%bWI(68TzI? zRtsb1ePf#IeyGrEe*kDA+$kvcfOYEP>NWMo)a_sZcsN+su`TC!;mqimBTzX9H#1!? zCu>&|r~))qS2mD$T2gQv+^z<=ddrFiu7NJiT&(R}CB&gm@&{Wt&mk#6&voFo9V;I6 z17iWJXyUUTjxM$qj*hla-)pw>K`z4H3$zmj2EeqUomXIi4%#7YfqW2|E%Ku`L3bvc zzwWcp?FQr-rdQ}7?5M0sw9+suvUC&utySXk*i0}iUtu?1p za8h*-8))n~_{FiJK?zp!1_@0`tu?ImTk!;0UI@y Date: Sun, 22 Dec 2024 22:59:01 +0530 Subject: [PATCH 3/5] Delete NON IITK/Assignments/Assignment 2/sarthakshukla_iitpatna.ipynb --- .../Assignment 2/sarthakshukla_iitpatna.ipynb | 560 ------------------ 1 file changed, 560 deletions(-) delete mode 100644 NON IITK/Assignments/Assignment 2/sarthakshukla_iitpatna.ipynb diff --git a/NON IITK/Assignments/Assignment 2/sarthakshukla_iitpatna.ipynb b/NON IITK/Assignments/Assignment 2/sarthakshukla_iitpatna.ipynb deleted file mode 100644 index ddc14ea7..00000000 --- a/NON IITK/Assignments/Assignment 2/sarthakshukla_iitpatna.ipynb +++ /dev/null @@ -1,560 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "b21b69b0-c8dd-4973-aec9-a8a9b947304a", - "metadata": {}, - "source": [ - "Q1.Dataset: Energy Efficiency Dataset (https://archive.ics.uci.edu/ml/datasets/Energy+efficiency)\n", - "The dataset contains 768 samples, each with attributes related to the design of buildings such as wall area, roof area, overall height, glazing area, and orientation. It includes two target variables: the heating load (energy required for heating) and the cooling load (energy required for cooling) of the building. The dataset is relevant for optimizing building energy efficiency and minimizing consumption.\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "0f358f93-2d85-4c38-92af-8319d8273b6b", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns \n", - "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LinearRegression, Ridge, Lasso\n", - "from sklearn.metrics import r2_score, mean_squared_error\n", - "from sklearn.preprocessing import StandardScaler" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "97c76358-c829-4bf5-9fed-a16d0a33f8b7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
X1X2X3X4X5X6X7X8Y1Y2
00.98514.5294.0110.257.020.0015.5521.33
10.98514.5294.0110.257.030.0015.5521.33
20.98514.5294.0110.257.040.0015.5521.33
30.98514.5294.0110.257.050.0015.5521.33
40.90563.5318.5122.507.020.0020.8428.28
\n", - "
" - ], - "text/plain": [ - " X1 X2 X3 X4 X5 X6 X7 X8 Y1 Y2\n", - "0 0.98 514.5 294.0 110.25 7.0 2 0.0 0 15.55 21.33\n", - "1 0.98 514.5 294.0 110.25 7.0 3 0.0 0 15.55 21.33\n", - "2 0.98 514.5 294.0 110.25 7.0 4 0.0 0 15.55 21.33\n", - "3 0.98 514.5 294.0 110.25 7.0 5 0.0 0 15.55 21.33\n", - "4 0.90 563.5 318.5 122.50 7.0 2 0.0 0 20.84 28.28" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#import excel file\n", - "file = pd.read_excel('ENB2012_data.xlsx')\n", - "file.head()" - ] - }, - { - "cell_type": "markdown", - "id": "9ac0071f-34cb-451b-896f-7ad6d332df16", - "metadata": {}, - "source": [ - "\n", - "(i) Perform data pre-processing steps on the dataset. Handle missing values (if any), explore the correlation between variables, and identify any potential outliers." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "bb73a821-ffc8-468d-bc27-fb00f969d6fe", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "X1 0\n", - "X2 0\n", - "X3 0\n", - "X4 0\n", - "X5 0\n", - "X6 0\n", - "X7 0\n", - "X8 0\n", - "Y1 0\n", - "Y2 0\n", - "dtype: int64" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#handling missing values\n", - "file.isnull().sum()" - ] - }, - { - "cell_type": "markdown", - "id": "6ac11d82-8a8b-47e7-93d0-003cbcde644a", - "metadata": {}, - "source": [ - "no missing values" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "98907a76-5b5b-4e48-9787-7c882649bb40", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "corr_matrix = file.corr()\n", - "\n", - "# Plot the correlation matrix\n", - "plt.figure(figsize=(10, 8))\n", - "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)\n", - "plt.title('Correlation Matrix')\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "631eaf93-6c66-4805-9506-4d0d1e84f4a4", - "metadata": {}, - "outputs": [], - "source": [ - "# X2 and X4 shows negative value for y1,so dropping\n", - "file = file.drop(['X2' , 'X4'] , axis = 1 )" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "50aa1ce4-1982-4236-a5d6-0143513e406c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Identify potential outliers \n", - "plt.figure(figsize=(10, 8))\n", - "sns.boxplot(data=file)\n", - "plt.title(\"Outliers Boxplot\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "6ea460a4-7aaf-4cb5-bec5-6fed3e9535bd", - "metadata": {}, - "source": [ - "\n", - "ii) Split the dataset into an 80:20 ratio for training and testing using the sklearn library." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "8bec6ace-ad7c-49dd-8fc2-16686100bd52", - "metadata": {}, - "outputs": [], - "source": [ - "# Define features (X) and target (y)\n", - "X = file.drop(columns=['Y1', 'Y2']) # Drop target variables to get only features\n", - "y = file[\"Y1\"]\n", - "\n", - "# Split the dataset into 80% training and 20% testing\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", - "\n", - "# Standardizing the features\n", - "scaler = StandardScaler()\n", - "X_train_scaled = scaler.fit_transform(X_train)\n", - "X_test_scaled = scaler.transform(X_test)" - ] - }, - { - "cell_type": "markdown", - "id": "daa12ac7-ccce-4dc8-89ae-80dce28c8f5a", - "metadata": {}, - "source": [ - "\n", - "(iii) Train a multivariate linear regression model from scratch using numpy, pandas, and matplotlib. Additionally, train a linear regression model using the sklearn library on the training dataset. Also train ridge and lasso regression model using the sklearn library on the training dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "39c81630-8701-4862-825e-18a490d30429", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[22.15503257 -1.39118171 1.59288178 9.65507366 -0.02454408 2.7149263\n", - " 0.33619866]\n" - ] - } - ], - "source": [ - "#manual linear regression using normal equation theta = (XTX)-1XTy\n", - "def linear_regression(X_train , y_train):\n", - " # Add intercept column to X_train\n", - " X_train_b = np.c_[np.ones(X_train.shape[0]), X_train]\n", - " # find coefficients \n", - " theta = np.linalg.inv(X_train_b.T.dot(X_train_b)).dot(X_train_b.T).dot(y_train)\n", - " return theta\n", - "\n", - "# Training the model \n", - "theta_manual = linear_regression(X_train_scaled, y_train)\n", - "print(theta_manual)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "3d094dbf-2cdc-4c1e-8964-cd66d2d7bd61", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "22.1550325732899\n", - "[-1.39118171 1.59288178 9.65507366 -0.02454408 2.7149263 0.33619866]\n" - ] - } - ], - "source": [ - "# Linear regression using sklearn\n", - "lr = LinearRegression()\n", - "lr.fit(X_train_scaled, y_train)\n", - "print(lr.intercept_)\n", - "print(lr.coef_)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "1b73a3c8-96a8-4d52-8fba-9fad2a8f4c6f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "22.1550325732899\n", - "[-0. 2.16130156 8.24667298 -0. 2.63576533 0.24724018]\n" - ] - } - ], - "source": [ - "# Lasso Regression using sklearn\n", - "lasso_reg = Lasso(alpha=0.1)\n", - "lasso_reg.fit(X_train_scaled, y_train)\n", - "print(lasso_reg.intercept_)\n", - "print(lasso_reg.coef_)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "d2c1355c-dd4d-4207-99e4-6964387a81ac", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "22.1550325732899\n", - "[-1.24477499 1.66281749 9.4992238 -0.02604625 2.71116121 0.33597745]\n" - ] - } - ], - "source": [ - "# Ridge Regression using sklearn\n", - "ridge_reg = Ridge(alpha=1.0)\n", - "ridge_reg.fit(X_train_scaled, y_train)\n", - "print(ridge_reg.intercept_)\n", - "print(ridge_reg.coef_)" - ] - }, - { - "cell_type": "markdown", - "id": "019e1ffc-d112-4ef4-a75f-d7d0f92b7946", - "metadata": {}, - "source": [ - "\n", - "(iv) Evaluate the performance for each model on the test dataset using following metrics: R2 score, Mean Squared Error (MSE) and Root Mean Squared Error(RMSE). Compare the performance of the manual model and the sklearn model and plot the predicted vs actual values for both models." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "804f6cb9-7dc4-4e9f-9a3f-1893f5504edf", - "metadata": {}, - "outputs": [], - "source": [ - "# Predictions for each model on the test set\n", - "y_p_manual = np.c_[np.ones(X_test_scaled.shape[0]), X_test_scaled].dot(theta_manual)\n", - "y_p_sklearn = lr.predict(X_test_scaled)\n", - "y_p_ridge = ridge_reg.predict(X_test_scaled)\n", - "y_p_lasso = lasso_reg.predict(X_test_scaled)\n", - "\n", - "# Calculate metrics\n", - "def calculate_metrics(y_true, y_predict):\n", - " r2 = r2_score(y_true, y_predict)\n", - " mse = mean_squared_error(y_true, y_predict)\n", - " rmse = np.sqrt(mse)\n", - " return r2, mse, rmse\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "b13224b1-86fd-4c68-ae19-95537b76c381", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Manual Linear Regression: R²=0.9086, MSE=9.5263, RMSE=3.0865 \n", - "Sklearn Linear Regression: R²=0.9086, MSE=9.5263, RMSE=3.0865\n", - "Ridge Regression: R²=0.9084, MSE=9.5517, RMSE=3.0906 \n", - "Lasso Regression: R²=0.9046, MSE=9.9392, RMSE=3.1526 \n" - ] - } - ], - "source": [ - "# Evaluate manual model (from scratch)\n", - "r2_manual, mse_manual, rmse_manual = calculate_metrics(y_test, y_p_manual)\n", - "# Evaluate sklearn models\n", - "r2_sklearn, mse_sklearn, rmse_sklearn = calculate_metrics(y_test, y_p_sklearn)\n", - "r2_ridge, mse_ridge, rmse_ridge = calculate_metrics(y_test, y_p_ridge)\n", - "r2_lasso, mse_lasso, rmse_lasso = calculate_metrics(y_test, y_p_lasso)\n", - "\n", - "# Print results\n", - "print(f\"Manual Linear Regression: R²={r2_manual:.4f}, MSE={mse_manual:.4f}, RMSE={rmse_manual:.4f} \")\n", - "print(f\"Sklearn Linear Regression: R²={r2_sklearn:.4f}, MSE={mse_sklearn:.4f}, RMSE={rmse_sklearn:.4f}\")\n", - "print(f\"Ridge Regression: R²={r2_ridge:.4f}, MSE={mse_ridge:.4f}, RMSE={rmse_ridge:.4f} \")\n", - "print(f\"Lasso Regression: R²={r2_lasso:.4f}, MSE={mse_lasso:.4f}, RMSE={rmse_lasso:.4f} \")" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "523ae5bd-9115-44fb-9d2c-cbc5d828bc2d", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot Predicted vs Actual for manual and sklearn models\n", - "plt.figure(figsize=(12, 6))\n", - "\n", - "# Plot for Manual Linear Regression\n", - "plt.subplot(1, 2, 1)\n", - "plt.scatter(y_test, y_p_manual, color='blue', label='Predicted')\n", - "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color='black', linestyle='--')\n", - "plt.xlabel(\"Actual Y1\")\n", - "plt.ylabel(\"Predicted Y2\")\n", - "plt.title(\"Manual Linear Regression: Predicted vs Actual\")\n", - "plt.legend()\n", - "\n", - "# Plot for Sklearn Linear Regression\n", - "plt.subplot(1, 2, 2)\n", - "plt.scatter(y_test, y_p_sklearn, color='blue', label='Predicted')\n", - "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color='black', linestyle='--')\n", - "plt.xlabel(\"Actual Y1\")\n", - "plt.ylabel(\"Predicted Y2\")\n", - "plt.title(\"Sklearn Linear Regression: Predicted vs Actual\")\n", - "plt.legend()\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "2cd6ec3c-f025-4cb0-81c3-d1104b00b185", - "metadata": {}, - "source": [ - "(v) Propose energy efficiency improvement suggestions based on the insights from the model results, focusing on building design elements that most significantly impact heating load." - ] - }, - { - "cell_type": "markdown", - "id": "849b83f8-3a0e-41e6-9ebe-005c425bf1a1", - "metadata": {}, - "source": [ - "Model Insights: Feature Importance\n", - "The coefficients from linear models highlight which features most influence heating load. Larger coefficients indicate greater impact on the target variable.\n", - "\n", - "Ridge and Lasso Regularization:\n", - "These models penalize large coefficients, helping to prevent overfitting. Features that retain significant coefficients after regularization are the most influential on heating load.\n", - "\n", - "Recommendations:\n", - "Glazing Area: Reducing glazing area can lower heat loss and reduce heating load.\n", - "Roof Area & Insulation: Proper insulation or reducing roof area can improve energy efficiency.\n", - "Orientation: Optimizing orientation to the sun can reduce heating needs while balancing cooling requirements." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.13.1" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From d9f2545add842be2f44cc4e1934bbe46e0aa974b Mon Sep 17 00:00:00 2001 From: sarthakshukla19 Date: Sun, 22 Dec 2024 23:06:06 +0530 Subject: [PATCH 4/5] Add files via upload --- .../Assignment 2/sarthakshukla_iitp.zip | Bin 0 -> 209253 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 NON IITK/Assignments/Assignment 2/sarthakshukla_iitp.zip diff --git a/NON IITK/Assignments/Assignment 2/sarthakshukla_iitp.zip b/NON IITK/Assignments/Assignment 2/sarthakshukla_iitp.zip new file mode 100644 index 0000000000000000000000000000000000000000..c7c2a430a3acf66b67a68ca5956c17001537f4f7 GIT binary patch literal 209253 zcmV(pK=8j%O9KQH000080El|FR$nruu*mNK0G%lT01*HH07XthGB7bRUu0o)VJ>)V zb9n6gWmFvhw(pJ7cq0wLgOlJ+aM$1-oZ#;6P9sUs;K2zF!QEYgySux)KAnHoK4-6W z_8s?*`|^yZM?n{)X8)?@cgkm05k(moSS%=bC`2eIC^D%0`1>D004OLdcqk}LsAYh* zsGY5|iLJAqiif?4lMbW1jWy}dc>r}L6g1TT`})7{HKg*}wv!pXMg2fftW~XBD7UBx zgUgw_R&orD`CNz|WAOq7>!meTQL%7Bl8w+)Dz3*a#f)mxMpKLc(L7bIhx8;2(R!!4 zVo;@dRM+$Nortnpai^wa4@fawVpjdP^)BGOt_=$|_jkW&j4DFu;EGHA`@zm&g%te;ZGKd&W3vrZST^6v#SkgY($rJEgF`LmS$GV^aZpX(e;*YTnxVf?i- zQo@)fJsnc7(o5{j8ShWW1{}%W>U6<@Qq5-HOE;55G+s;6#N@;+ztEkB7!KzZ80p=3J_>`Oft@a+xF1h?5m}?J0op#=fR8>wBfZq(lb9 z|F5qwP>TPSku|E!@2??yvXF#Bh8h9rIht5IF){x6PWp4;|INhzYhK|oqw-zMD7~kW z&7xb62ey)kS-DNJl1*eP#O>rKBsCG)RMvLP&yQ6~ID=cTN8D8wFg*{Ao_kgnk)~1F=o&6ysI0(Odj|7mpd#0Y1694^Pwn zhIurR@qzZgI7sEeQ6sNbO^voP-VWPlQ3+)l{dTw`#^~JN4#r67lC;SCep7z!CN1mQ z;tctns9#CYWh}$I$ZpWT=ReIGnk3Tr%W_6H&_fG5B$P447YQZeI_7yZ`G!yd$aG>v z)91Djn!0Rwj{HAG&;Vb!jRzzuq98>P4e}dE1pW8e30EGM?_|dE;XEfvZXMJx$P9|; zF8GdXgwpAxd8#2g%V^_p_U0u-a2@RD-?p{fkB%ufMC@s2H@eTAPoPj6{EkUKjg2SI zAYTT!H-%WJ&f=54tn*oUgKsvFE}JZm*WNiMH6wz~XjaB(1{PQyW^v-fjRc*zqi8?N zLSde2+>5hhWThTJ$6&wi2&Grx@6rU$TvMKe>FR$8?K1u$yWX3V0$nW_t)aM-?VUI{ zF>ahH1$PO4-#K^@fLq{IOs%wZuT94PCF!Pu9s6mnJmtdky()i1BMd&dL~K+7V*j1^ z{o4hrc^0M_vtQhr5-f>|4R(slF~=g721Q9X@Oa0i$08v*)8RPEcZ7u@zi?~3Zb{V} zqW1lR-A69BKOHmYjjOgLV5ct4Y<;ccpc{{ve_q@@d?9L!Lf0z;d4J0*uYLbDIPF_` z-aS#LJgEi=*^!;(DQw{Nn+dD#TBJ{<$|#k(_}ujPl?B}6FEYPzq5db8%9aH#5+H=B zL-2<(|53@=+{DJ@?{}6zN*!q`*b#ihYI}c9B<^KrMCFPv;ZihL0j##jo?|$0XeK_D zXKkuVeoJ+YT4OIFB7!xAjKK*iP@Izf9C!!6ABu=2{QUvjowcfIL=nT$8X4JqEd9P4SPh%Z|&uanCFpzZ7y?As;sGB$mqHqPXFrD!f5) z%$v3?ajd1(3zSx`!ivvM=kQn` z@J~lFYebut<2*rc9cnd^^Z<9#6u}Bg=%^mf7C7&Ti#;lE)_FfW12O|p=8C7#jdt`C_?Mux+@0VT8NQ1%HNEGqJ%h&@YEeYpqpurqp`TCt)ZJIMxPXn0dzC; z)k3V^%(~aXVnuyeD-njokWGkDFboD}@D<@IMUGh0VjPd_^3T?_m?*49IVI#t z<=CtJc3{r_PdWSmJxUWEa52%M^|A=V$UyZ9sTUPq1`eP8csW(CtcI1HMjYIc0 z__h#L4N7CXcTew1-($P;kcMZEL`!Pc?u0=3Aj`LX%hHW+^a+!Dhf9OC%#iJY>ZB`X zd$#QQB|8UYG220-yOqw3OpIk=rwFCBXBlPubPa)U)a8~zn$RudGotN8`x^^yKo-&8CoBs~$>V%oP(pRyR9i46x9rKs9$k$*|zDrIblWObs>GDY@`2nVT}2c z1!B2|Q{@HIOvkU?T>pqG^=Ly2xWILiSm>j@#)NS3ZuO65xZ>5vM^;+W_Zn};kwYKN z+j|WWz>h8kfdZnm>#m(Du+Pxy77Gie0}LY;6WC1UC?kVvWx8_MQy->4sL`3_B!!CTm8d4a#a4mcMf)ozQk8Mh zUkd{3KU5f^^%EQT=)fdiubgC|i!7_eR-@o8o!>dFPNLw$HvXpBN%EikkRS8yFHVF4NVq75b) zTa#hr<)y#&MQdOqR|G4OKjU@zcF$Kt0t=%BcIKtNdNBXK4p&lZX1!j7!8u*j@B3WDaqac@%X~uQ25a8Cf&*h1e<3wG3Ay?@$QR!K;emhNKK#R7iXGD3%;+u1FQQ3Ja_XA#xySG5!-!$uT&LSm z+02n+#%QX)u2h@gc7)Y=c-ZOgv{*iG|GMi=Lb=Ds`3Qvekx4uEK|QrwEcQbG8h;u` z5ykFp6zJmQp+rP;GU?y{j`vQbtDR6yInPxnUs)L7W6Jh1pQ~$b5bIr$t(K#jZsK-{ z^MHF2k=nT+aZZhegXnQb*6uv{Pu0{@1uzhpT*Uf=0OsqL#*k3B{=DSYXJ&WVHdB_o zxi`lW8->MLgt-?{uDrSKUw?|0fD-if@4n=baH-ewHQ8YmHxsKwjndxqQW+?j$!RVH ze5vwH{?U2W2wU;q)RBs9E07si35S!E?M+6z`%J^d4#NMRj%59R9r^!*Be~>~B;P@1 z$e;rF|4)wmCmZ9^lwvp4B6C+c4PQk+wv^FJOVdmncy(&Jno561!{n`M8l84+)ETcG zJS;j%U(su;hiwmoNtLO2H0aab^?xVmPb#d$+4fZT`mnvr>F4+SJQ*6*=6mhBU=5*> z=j+EPLGQb3CcTztz1RCY!IRb2`>XrsGQsB8`^~a4$gg(~^Xp!3uKix^^j+ zCJzsHIV*$p1bwb=@<%iL9w%}2ydPfjXZ2S67QCO1uho@&pY9%+P6Y>FZ*SYY&-d$A z^;Tb*5uPtDahr~B?s_2q^z@)scb32U8gJwMbl!)y+UEOs{@C_>@o;Fi+<#go*!D{Q z_`08u*5>2+c%3Ndjb1`Dma?kn_jGW~IhmoGw|swf6IRxiD){8*=lbiS#Va{lhMIzHm%=4E!4^Ytle6@p?OH{LIIi-U(z8LKTX zPgUOCC&wwbt9~zMx3hk@i|Tf-Pv@7rQEhBKdAFJ``+ci|FKx4WyFN*RMaQ~}l*umd z8^_J&_wrwPNdlkpkDhP`SNdLW-g~4**hc5s_@easLX9Qk_q*ya-h zz8Bo7VA$svsYShSYmHbo<*_zEuB?cclT~)O^sRoyv)%G-Ykeb_RA{1bd)3^)YjgXF zH$kw?_ujr`z=IW zuG;)s9xuY$WLUiIB0~@6vNv^H2*=KCT$Zvnn+~{sZdUNf@3|L6dO7o{_q`>;bzy5o zj%Ls*wd76@G|{5hldMgMtDz5$<93o;G01CKPMwq&5WBbKvBoHJQ(8@9Jt&Z$bghzE zU;QZh?yg|L*);eJ3kEZ`p-l4LLLY;vcKW$_df(P5(RIHlBpcs#(sY#$#eLxIpnI*~ z%fWH9S=`&v0`+vIT)u3wOO@gBD{!(xOFmvwG`}dsnljR(Xq{seW_SL@BltfKbKWuIdzCI}rf4fY<73%H!O#VrhYRlkezEJ5 zdZrTggU5Y=!&Pygh2zQ>ohep@Y4{d)cuM0@^rY^vuQNP#DUZ%-pQqPqyqM~YkTLg4 z9J!7776qd`#N*Gyc{bm=^s*lO$hQQq;KN{6njy+=^mK14J4@D)sk3v9HVyl>SD|um zEv&wH46zo4n@vHklr>#xluwo5YUY1AgYnwqpicUd#zR$fm)m7cG2;W8SbD^UmYvPb zn08|FtUzW_o!SIqd%Gk!APZj9)aKo33GKxSQoxUzZ!6lPDMn0kCMEEvC59U1PzSy2 zl{YIquU~I+xHzgnJ;!F%Gy*jXOXK(mL_xlW`%Bti&u~;Qc*ZVw@ z>eBRnB#$xm_TILG<0SPqMHD}JyJB`p6S&La0y|R2bCvVy+v>{9E%ecQ{$ulpB5T$AA@|hmrZedwat=Q?51bk!QcycgmqL;o*W5}WZsNY z&kuPrbFqamE9hG8DUD|WTaSW^^_S@!_mPi1gh6g8Hh6Yv9=*+~dYh=A0RqAx&b{Ee zqHIvvfj?&u&PpEs>1Lj;)bzMVD8b2n!j6eD!uqmlM*E{_=&Yv2{@FgCZ<0zKNZ}EM z%bd7f_yXbxa3PqnjJ6H)Hf?q+1_3o*jpg=7(}nY{<@w4ST8b0TvF=a@z868V$h(Bz z(yln%7aE-=63Xe8vs+*v@6>H*wZ!UAdHt@N$r%y`VPSH&yZNLwq}>7T2=jZ#!B z)E~|19-b|n7J95~7bbD5Vp%ig6j7Sx)r`)HqB_9x?SHm((5_N>iHn;m!Wvn%N<$(1 zOS2T5TaAM2$)suG&2bMQ_O&f@(8w#Jp2PgGOrgVMXn|7MKbu16rFjvyWn+`?hxqK? zvG9dyxNDZQRCOmVt9wHlZrveajkxa*SM)=7&Y0xntAbB^<3d>yFu}yAaE;%@8D0GI@9h&~e)phd z!8I1b`{*qUPIIheh3-ZnwnS+76->BL5{O3eKn}<9WK-N5SIjKtI(T4VGw?|u#w#6` zYN>Bj-p60fLZfSuGko)~26#wGv5}By%)L*n&2HrMn{jIwo&-_Dtn>Z=mh?BJ!2@t=~i72>Mnmfv?Iye0gFWlaUfUd$_iy4hK- zlh=`fIZ3GjWi@iHExZ$=>Q^!w>JZLM5ioBn0xd8F;p`P@J;pPBk9=z`%`u70)*eUIZ5fyYx302c-kJ${Ip>y-}p@ zOuSfXdiE{Ef_S|aNUu_@w|K+zgMq)kJ%T5g02PZ74{ynw)LxbN%3#UwSNNYA*It9l zyY#spXL&yTp$B_DkHx{DcycDmW{PIfJkz?PeNG(4p!gya`_#z(=dJa|mlB(~`I9I& zI)&TP+KNa|&iakx#r~=|2P?e8)6}7tmkFt3A|4SB5qFe^ zZZbBCeZwpnCq|0W@fJ=JiI#?8wtz?F4Q5H3NPZj7^+k#2Y6Ul*Q=!sT-0Y$D-eJsA zTJ4CNDz}w7syWYhkmU=SZMt+jtm{N0-pipQ)rr$z|r@#Wkzy6snc-n zg8+YH!-(e^Zu^7?t-h^<7708QwRSarEcr@tBc%PU zZ`Hj0Ei9al);;M^9%x>vw}|?$AJwC2=I+jeicyU{-wxJwmS2mV%y$bDxT+3nrnkm< z892EM56bDBPD$3vy$}B-Pb2f5(KuVaU;IaO#0Lrj)SzDjU`p>V9l`WLl-Gt?FNQgM zv(gB@>=IPG(2Kp;@Enl}+RBwmRQlPn?czTIBjBOcwv`Ydu3WwZh{Sq2xX{cyvRX%i zIGWY`DHij72;G=s&g`2typ@0J!&Pu1SMLfO13Hb-INPHi$wv#-yBSEl z_dFBZ8#7Ju_h~>m7-HSA!i+tJ+C&Bo;1b3$aUtqWOUP+Y1N0CXT6$D=Q~Z88q&58J zc{AhfnxZqxIOCFHho_(B)$6aSN2hPE*uIwO-ysZDEMU1(1cDMZ2Us6K-=UMxhu+U0 zXdV;Yx;jT#!;A-NpC-u13@u3X$(?_>MSplH~O87MR@dkO|zlkGkE2_gqcAd@)}KCx8f6clNj5f+vq0S*{Bt z-6{p7m>l_0m$LR(h&b2#QX&0CYMt$@);E7MR^26-zy*mDA90D=seW8(t%z%H*J2m5 z)hw2Qs}T3own?G~O?p>e^Nv;ICN!tFT$sJKwt;=ka`?Jmj#pZ)^$jpqI4kHr#l;?@QcE%%_jlQk4-9IzT+Tpakd@6<;P> z1btq~eo<#KyP_3|>h$leO-&0oQEGR6!+SFGO&m6G7c!&%Zy1`1@^Cx3haTCrwE!qb z4w!gzbYJzUoed;q6ZfeQDeTGW+f}CrADZWHcC%-qrwvS6R&7Rn5Xyfo&ULRHaMfI) zG>Z!^ef$AAW5~5qFPT%@s}izr;YqKF*as9_hNk%WdDVb#(;Xt)#y-~D;2YYzNaJ@# zeE3t`ZP^s-#}y%tvFvAwYY$$7R-XoO^1;^(s7izq*m9uT5(GmprJ!m`^mMyv4|6S_8!D;4Xx$=pgzJEU#Yg0&r?)d`RyT4pn-OqREJDR_hF>s)?F&V%Sg zuy{rG*`V|w^T%c_&}p$&elobBkRz@iT%t0kzUa&J?6c4t#(fZFyG=tTQCbxv=vdNk zlb}q9#mz?iMv$tSJxC}46vO}u2 z%|jCLeKDveknoQwqT?8{qpHL+ks;7=5}{x2ST((sx_KbcxP--Rt1s{~5v)f_2J}S= zs_rgB8&lb|-DT3s(bxe3f*c%|B&`rrA+yWa7Fj|L^iRy*Fmzl0El$nLO+ig}npJ`1 zu8i1z%+u-!T&Hr%)sVvIu<^9Edu^)b(K+{E|JmRm zL&6TI0=8}+W+@Nf)`Q9N+iHHUPD3rljMw7#qb-92$aLY8Qidb6&!|KV(R+Ydt6=5?C%W3BUBF0Pl9dIXWf zt}|O!U4S%WfO8Dom<*0A5gX);HU0OdQkf(^)j;LubVZ5SBq@hF$GZZ#jy9ceo5Iu) zEY9-T>Q07&Zh4WHy9xMaRsIwLmBmc}J)Y z3WTB?!e4r5M^$`eq3eet`5bl6S%iC;y9#3m9_TKf#9}bR!fa!NVxqqTzJZauyz5&6 zF}D9z^}ImR5+5Y`h|?#G_Ujtx3`w4JFI=@J0JaSRIjooK#-bYo+z_%xw;v1l&(7&q z@r`fiC*Oq=OH56&R0n$4&~ca6`ZP%&-Co>mICA%;R(H^Eb)VjE$7i|5>(UBDc%x;` zsuBp5${=RS`u4$uJak6?&Tfr*OrPU3vR7ux(`p$^$$C`LQFqd48PqFB;uPtxm9q*j zk#{hvRid)amYoY6`U{W+8GZW7b?BexiWcVK9X;J9b&U_}t~xoMB=P5Ke}`90f3+Fn zI0&+d18PUVT{I`PRwcgP$CI5Cu{S8TG}As*Bg(RU?1C{~+$n0mnK}0KVpWQ%t=^oV zv;I}(no2UzR^{%ur;9@&&C>LHuPrNC@n`6N_VpQHPxEU*bUW31@VjJzi)QG znn>z8%|mJJ^)gCWAnvfcRP}EYiWL3vWXj<368cy$dkv9Lk0X0%4?@)Sv}lbVtkcSa z*E-cy%d9jd{=|R>(@}iuc*xscwNOI4!FZb~;373Acp?%zhwI0fI{hl+!0(- zlxE{mHazBBOC<2qCRUnyQJeGkEzi8WU}?V%$Al-K%C<|0a9Sfzuo~2e_O0HfGntOc|k9H5F#d;Yqm#=aM1VGL3<6Upo z`voz<;?V;m!$g%e-xx(+E}9Q;+WKEazz;ysLoZ&!h8rHU75(#F z(Zc=BBXd`ANF---L+El=1RdaXxc1lP@I->lZ25iv!UxSSTf~G|d|cEX_UKo6Xj-gd zm^bJ;b19A0JKh$J3vWEF5<-7JQzb*aqP*8{TTXgiwo0TwhVs-|0Bk+jF!qNt;?aJN zMX-4rNT-c5Vl8*w*t!@eXlDXqI=ZCv{t;ol_zMGRk;%&}%^;yQm83O5ey-OZ;{Lx= z0h;HBBLahe`QB6M)l&P^ylc`_Y%%0*h+1eW%R&KWwGyRyw(Ph#j4))rBg!yh7KV7D zq=@J^t6WvWjNnC?ywWCCQQxbWB*Vo~>%oD>Z2Gz4qh@UPh8)!tS-K$t!n!TbY0up~ zET0(eS)LYC0%vl}rsd+TF8%Y*eE5z!DXM_Pu)RHpaZQBx&-xbQKE;=CcO6&p!GvQS zI7mVWCU%=YT6I6pK}dBPU2ZOAM9=@CWfIrQn8yF2GnBh|Z<|V?h3C6ZiYxSEuKFPs zTZr|i7-9kKh;ey&u`E#LJe|4k2VS zEN0O{zriLe>K31RCF;pfO+RKKzP|bYCUX=(Wky#9PD$ zUqx5q^mg@)IxvJ+4XZWE{A%zInBnI#S8f-Mg$Bi7O>Z;V*Ki(sE)P$oUkH<*jOJ-O zD>D(>MEJDL=fQhj-#y+>=AT#XIS~Yls3q+Dd>^AOrzxTzd6{Bg8wiDW07DtQ{{UE% zq`JxenmrT2n{mcp2Cw(z`&=Sk)*i|La!|&?g`|?~X`B6?vw#`T_6KYi-z&RJ{-L zv|%0y2!q;CwLRVW0Qv@Rp}I)n)(W|qf2?{v8q5v*m0a~?o;OVCB)|oi%(%74xnnq^ zS!)W>+?-t=#Ra)`ph)fYl&UM2#a)prS@IuP3nMs}Q_1h?Gcojbxr{; zu07%B*JjdqdLCA6ZJW`=#GE7cWx+CN>ho5*IOj5)HWS)Y8~mS74kvWR!?X`D2qtUg zjN%$2E$F7Q1C*k8vWZ>9`48e7i@G9-!Eap<%RZJ?eoD+`i}_ek+{25y6gf&2sHl#d zEr7?E&j2#dnfVW^mw&7jBy(p}T@U&$Qh2jUaq@j>1qsj(EDfd>!?7)&T?c2ghO`BK zhu}Bw?miZ~P2!-?lj!RM0iwfSerMaFjnh-0>wWrJ>Gs&vsjd7I$L{u1E2*UTl&~)i z%_K0-*y5q8ymI5KIOCyqIW}TUu&(W~(UAvlM^s4Q>Xy=FpLyUa>cg+*HO~1_M33AS zS!q+CnOLJxGgs&XcwI^v+Dxpk>@rbsmElm(d<*r7ys3V7Coq4|aIF4-zv!)!x7HjVBU(Y8*LXKYma6YVav+l|y8&u7Y8#&4W9- zZD5>laGNx(6fO4ckz>18jBOV^ADzB|Cd3!teuHJ8Psj(6y7R%!cft=82I{Z68QM?# z!#)-LQduPLc6)L4{Jw(ypK1{MWd!M*>o2Q*{!(Wi{w~u&)Wu8e)X*#w@=)XQf%&Ep z&2>Zdh8C?10eyHb#lTs-z}hV6mo~cYn+sME23PTZX`1yY?m3@A1H)M`M`Q4(pV_lN zY~fn)o5|i>>Fe)xw2y(aeyV%8Gx(c_tf0KVqUC*o9{%PDBwxxB z5#o<8$`b`adZ$083=>1UN`I}<YsnOTBNr& z^oELGrIk_jHA``h!TN(Kp$ORkYt%sIX^b&Fgp_-}Z6j)6`&kTBEI+`}@t00r*^2`| z(Wg~|=J@zom2&mpcVqB3Po8US(Ue5*5|L#Z@7CGHh-`x;*s#8o{RXiv=1%{c>(i!dLGLY!ExGEQ$%4^J72r zL}~HtjE`nea)S|)Tm-Jt_@*r*;X}9&P+0e{oSd15iqM*TP|T)L*0HMwh@9MO7E?kX z7ELQV%ItM-7*#HZ0S5W3s}p^6zU=NKqpRG_Db~oQ`apk%a&@*z4har)}C{g0cct4%>;jz7=aGxMVn*uzG1T zpLwR}@`P@fH-vS{YJH+v^<+E!RkFqzyXMM~q{NWp_qTqSDW0;D%t-i19v&`Bd&Q~o z4#i>t>ou0ttdKLUXY6}RltD%rxQ6x_&b zQqkG12RX7a4=9<%37c&$t9p(|&tv z#`2%yTP|N_T~AhIjIj3Y{&x0dL^NIY?E8G$Hax+CAXBu%fetss>2<41MSZ#q+lJrl zb~@>@y=<&~_ITPXe_A&$#0o{ysjMF&yxQxdp9?y#nNq!JWkAhc{k)j=%_r#AX1*_d zFAmJX5KMR#`O|1>LTO^3+=mx`&X8a)b2Xuh!~HZeqf?`Jc?UpVsmWBtH`)g_91L zLs9@}Xn=;84>r(8V<4dlqzz?EZ%vNzR1b4I@1o>8mGLm&RPGl&-Qba6xYkYAka|;{ zQ;>8@Q`|B8 z4(U?O9*MzbF#!}peOzsVW_7D~Wb|;g5yG3j?g=noPOnVcaRuS+mfTVbmwXo`+&2^8 z%;6QvKsKq;G|?gPZ3emv_eZBpGl|&dl&o_E#@6v)j130G$dLunoYAY%3^o0^*_6Dc zNjfU^NtoSZhd@)KupX#|Y=l*JKSaxGxrP=+c@bbGA0m z4tR8_aoLqKuUO(;yDcKOiCjC_mmZj{%J^a@{G2V}J<%OqaZx$_6{^=rv>^FW^YB+q zrxt2)4JytEK7A^?2A&l=N=oy9(F}UJJgPxSWmUq*1kYt2+ZyMk?2irkqA5S1Pa1y5 z;y79P;4eq>X_GK2#u7H)&Y=_#tltBWN6|Die5XjuqN-C`1)7Jha&CqA4*AjbFpbZ( ziY|_KIF{A)p5Jd(|FGlT?(nF~DYj3kRt{VMMV0}0l7Cx~*-ToKMZ<9IiC~$Np}iX? zZ4+78av^R_8H@dPHEu$)Tbup$r!n9r#zYtuCqpYTm6CRKeh1E>1-c-Y$pW)=T~gCL zTWvtZtCDpjFv2cbKN-&cjNU)k1b_mj_s=&KHn|sXH6c@qqZeWu?9^&D7T#_$(aF-? zT`8V2XtAU^#ky6NlrpbcAdwD4b)%DlLQsI#(7{bDNRe-|ev z6*#~T+-5?p@2MiSs=R7}EbXK<61ZjWO*?nAs~*z$VFW2JKuHf0^ zi?sY%8@hXzzQ8+wnp(zsyNqP3G82aYW$QEE^V{})#^Lr$QT(sOrUszs@!8Xi3B`*{ z?awIAUy+yKeJVq6JY4K!xqK4^3XD7I^utUTV!!L8>fCHnyA|1v-NnGgK7X!f63l9R z04+3-3SPf83kdHoP7LNvBieq%ZQ|Nom%?dpuY$r!hbxD8Cf8JWd)x%z7MqG}x^|8$ zC_CEeQ6=XQN54nxj$<5n7#~C=RjbT9vC!iIx;r?Q#&ND^gBgX^aK~xytb!mqT)f0= zus7k?^-JRr103hejpWmIW1DQ>{hHz`n~tjTW$Q;Bl>rfg^Ot@XVSIx_tqYs3z0Xkp z!$+_qqwDd;4EX9qJ7wWEnh7&N_QbB!WHrrW_4+$63Peu8W(z!*)|<1@m!Xn}00d26 zSkx{2aQKTucD5^{q}#ReTYo`gcSp^Y$+5t~%xlCuR*(e`tye>p*|X`nV+KcldMRup zss~oJyx*X1$f*|*8yB8AGxM0ferAWFaPg2Z(EN+(vJZo3Qgm5Ub z5cF~g8h{`=r=HQ_u&M&^j zMJ6ks=~r-@R}R2h?AO zv~U?{JdD7;-#1QE1D6JIGBmxjL3I6IvS{#1SMP$4YF0Q|ygR;u1)!4G8;f;EA-waP{Fjh|q<_x~Az5SB@dVNQy12}gB5)?aR$?G9^ zDvg2KCVegM2j8aTZW8PGeVVj$Qq}is+CL>z=vx5uPetAsJm>*nq~$T+l~ks0-FXR2%5$)sK(zzjrHvseg-#h z8iyzq_qliCZz5a8mb`3VXOvTh>u3%eUNe;mUpIDt6Ra7hQ+b+LGBZf484h*)c zm8%E#;@1kTQgzud&oo9TS@pU1dNRCh^r36yCpR_bRuR8ggnvpYp|&P!^t4hSc^8Zd zQk&D)FCP~|CZI>D#TSnta*OGJ$T>%gFxT?Y-Jm$P3xr&gH(>i-)!(NoF~b@Du%($2 zKu8bN*OwB4k^58mr4m|^6bf9j{AmypmPXda4rco&T3x= ziTv3qPH5fmnglI#Pn6&kMYOxlQ-uB9Zmy*|Vakksdqpg&O zxu^z&$c`);i|K?@+lAFOgkbJ1dEQc6-J$ntp>~ym&coTe)n{nEhPyCzLQ4{KFGGF% zzU$ZRf9tHR7}gskEAQyg2M2VB!vv$^z-yy+MS{*zZnT=QY6pmJrgn)SCLpi7s?^8v zJ8onH@}lx_Vg2lYc6oSs0tVRHx8lo$n?UPurg$4i|CVY?Bb&$(&%1#opOjV+gVm!Q zC;zSXChp$>sPPB-+>q%SfNu_J?{v%zQKA|R{eI$`LB$$wJ0W)?FVHia!w+mkSQ$X; zO4K`9l*D!{cfQd4a-A+;6bdAAmI76e+2xOmkicXHpNIUe^z-28a+l^Euq58F8ZKV4 zdMWk$wB9_u@sUYXsV{i>sWn0YtA0dvkpH2=&fowxc(~V;=H5;?+pn`goOYq zEOj^Mm2BSlM-D!vB_7q1b$En6RGdfxdO}VOJX>}YFP?7JC3L+*?d`}%M$Mo)EuK?* zq?`xau1`?DO@)Wm(6rr2O^lq?;R zZYxlxG0@uEAl~Ml?eggf1GL1odb{jT{yt3^hrgyDJ#3iP^rfI+AZ@}OqrEdGGsJ)? z)I9FnqT00;j`I}i^1 zXVmOg-`YDC`!5P?aP#qZ$k!7Os#Scf-xy`gU|Y|JTbf$|8Ac=A3SiuTXruo zby1?!W^ff!me4vf)WF#=<+t$pqs3u+jW_{eDu)K14Ks>4IDbOzhudNPKFWAFM|XY- zM^;JYllPQ)sM<;OwBfLX?>XL!vc%72csglqs#5lawYBPwPIIt<5CLC&?Lad}FoziH zg4MZ*_O^Uesj&%8K7&lc)rCU!qA|AlYICsQA$9FiXDkQ?1i{R5dVhmxxU(tx0=~x3 z(Y|qomj=Ua5W=4fqi@@~2F0d}ND8WlEqBQbqqVW}*L|lm&boC<>+u}k#3GI=kYP zqP|+LMfJ!UvtxHdMb!H_LqGSqP$$X^Qfra**EOMJh64w{JGznCrhtu0;M)1h(&#o- zRt(&7Am{Dn&eEgbfJjP{2u^duX)RAQLrnlbK)}Dur{`!wmy!_U0^AAX0znj+5G1Wz zhq2jD&c|%FcnM9mD}y>SmXZzVW0vQwzTX79*RhL!mg4{joZez@%AVWF}fWb=5UtBM!+-wZ^~^*^LC7pJg`a8y$X-TyIN|Vi(OS2Y} zfRJSzLhFDKy?`SeD)Nnu)RY+?B#7qwPKr^|Q1pv8&@hGoaQPtru13_1rFhGBqc0ux}QKk->8Is zu7u1bJM{N1xRKP#`#TV&7fdwT>r z7V7C+Sv?m`IBU*n&rX*qhHVVo(_)`8vj*Rb*RF|Fmc!x31Pe4J-#Xl9N)y2Mzf760 z$Q3?2lL8a2@cv2Jg+xJT(-E(4#e%FH3|D)L+Fx8pXSsjfKE03* zd%fX;0BxreG)_8Z`BZ8F-_aBLup{*O^_Jp1Z(Ay1Vao4_T&?EoK`*yZUyjr+y>V%7 zi%Io{AF^(RLnC<&ckWN!})QRjtx5fbRHUEXuf%`28cm&b-TE;TC_Z;qkOenVg-A- zp-RD8r@Po(T>rFS^Q`ucPXFQ#|NO7I{-S&^pmXf{0f76DpGWTr>wmROPNvf~M;KRk zPX3ah{a53zR{Yzzj}FmC{mXh}^wb+*(4ITBziItrk&#ZZX48+q87Ie&Mt(gwzGyc$k1A94$o?w zlPk5lY!M5`VZO~+7q+vM zG)USKzu4#2^vgTiAza%Dj|?seF^~y$|6AO6kILg3aci}Bj>aEcnsf-#A;eYmU&Ivw zkMz&H5^_xV4{urQ(z?xUap*7rZptI7_i5T&mq%Qdv=+E6{)?RO&HqJCbbrYSyR5R# zQPa|Le^U4CU@wjDi594R@5`1r()q!~mh*n(${-X}D=u0&##HP;SDls}e8$mLkY>cU z9&sLA_q%29a53C;|07AOrCj?WBF;D823KjTfQm0r2nZ1J`3t;|xh7o8Qy|WH_8L-= zPL=;4lk$3PFvyz==Xeq7W5A&?g|=lETZz3r1hLj3`a;kNpbmp@Q=JmUlKKn#POBLT zqSpI=t=~H|8mTg)+}s;&HfqF_Rs2Hp;l7{{XY`eDuLdzJ?6&#?`H6qv8vx)vG_*V{dH5Hk z1yZ!lw{P$=0CB2&}|QYJ|RMWPhCV*8IixwP8i5gNKbAcsLeK zzO;T8n$)E_2JeYCN(kC4?wUT*hVorp*^H3(MwZkLaKDRFd#3(X&{easz)gs?v`)GX zLIApPN&aKxPH;NgbNvCnS3R_No`})Tn*8f$*&<^HcgeAJ3H6M0_=c@(&V@rH2{;!n z>4GjL5u!+p4SP&y;g!BR&}!ssW3mSipI(0wf3wf=#&4E`MiY;y%$G9fFAeFK$2{HS zaQQ~6c?s~TAW1HwXl5STXsVQ}EK7m-N+MbPO(U|5j*okDt92lj?Uofl(H@D^08400 z5lSvMbLZrMKSKg_r|Gx^6|0Ro0JE*R{kF1f%QB^U0y-F2lw1vrmr;7@JE^8#b{TL2sng%Zank zey-Gh8`;!vBqCdZ2i$T<*4GJlwxGs9F1YTTP@L7S>khITT6fr#y9113KE24Uax4JljJjD|H+{5{V9Lktl`J+}`}EoIw&9cG zGj%D>>?`3?4StH7=>a?xKmr;g5|*40C`pUKUe`e+&Pv{Nj{Q*(A-YxjhLW6N8kt*0#7>qPA2!JF1{?p%^J0x(!oYl>NNCH!0^RDt{_{b{b z+R^@Zv!nIqgU^)upks#S726R}N$!uHcRS|j%o1RKZhYA3amy1CPk~?!>s{shO-pD3 zJ))AyrtDlag&6Ng6ygcJ*m*>X>7Se1mWD+DE4|CN$j;6S@4-3+&ggequF;1+bna#kN zJlexHgrVa@^USS~-4kmMjX1^-3WMbC)aRL1lkXhUYeyNI^{V!)k@<(CQHR{QLAa{+ zh|IuHC=7T2EOub>q6R4YZP2p&*KNxi4Mw`wC1Z!L%f=o)TDov@>n2!AY|Z8_?CMV! z(*dEliqRmD8+!EaIJJIc$lIc9NB}wD4HKen9$KnbmALM&DOxG=!h~%qgIoJTBqND) z-?&uI$nr{n1OJMl9|^g{>c5wm4Y|bX1Va6OYF}?cgMH8UI#S zqmT(5K6dvwHEE%w_HZ-T1G}z?N9o|=^?{4UV3qgzmqG2k zpzUWPWpD954)b=DaCk&oRCc!j!dHRp3WC?|KD&U=4{d~H zhXl_1_O1E4*$-sudvESABa|X5^xyj(l5cW4S;1hcj1fa}lpkMF#LhH}Jng8g_(#)R zWcH8KTkOIJ+@MXVo``F6``;+sHkVAm*NCQ?yks}0uT8=o%MguhqwU?mIgQ%GIzfV? zimt_FDFtdHEq8s>upF)M#Az$b3_7?ID3y(JAC`T>G$#&-ud#KO)#~q+FxFx0iA zZU@yV5P(GpBgq9HZI41)h&Qza?~XUjeAJ5!&n`pC4G#bHKr&IXzk7UHmshO3fR??b z1vUK0!lV^8tfT$Nkr{YpBLvuAjD|e|Gsi`%hs%!jJ~-pkI7^->2@`lvSvLtkaL|{b z-`g^OJ%Qg}Jj3v!<@Qq1o0?af8D7JD+<$scGK;GS2~U4+0=TI^p{*9cO~G`iHldSPHKkG?TYNqw=1SFXNeGJs2YzEm&-F7SW=Jb$l=wCNOLU1+z�SSs;%wQgfF@RD=wia#*Ak-YVC*A#R+gP zMk;~`h=^^2^6w(lEc4b#g*t^Zg94#|Fj;|&mAjt`NnJPFN;y{EH+{xV=s$^hJD*7P z&SE<%&J;`53Q!crT|B48`?7q;BpCMPcrc1|aiC6c zT@EJlM!m4iF1uPwXlTwCeLTOZ+XwS_nQ9_kU_neP9X;-+N4-NXnBbs@%I1~BI zJ$mSpxz$s5c>UhfYWXF|Z0h!f{YRaWjFMSCPvn1PBRs(EZ#Kfa{Z}>;j_5uRddad# z(O)KB+awo6pKI;dV5x=e`bA!8eeJ>aM&--Y7ZYm#;_r_M0KWej$T866E^f@J3muir zKTs8g_}NhX48y&V?ygSB9-`oY6$OW0UvUKMNEXI6Hm}VvBrB5v6ie&&)I;mE=I{B# z%|H+?LN1uEYma{-%t;IGBe<*RtUi!%_()W$Iy$`+I2}=Vx+85nNKNSwW zZa%>OA!b6*DB4k*54_vmap7|b#5I0Oq1p!dhwAve;+YrLNJ#(EpO=vQ&w}9Qh*Kia zUqdE^7OZNeTqp@WZCk>IrvtE2!I#p&VV zG_b2+JHZFzWagdSuB{@ZLj^Suz(zC)e_AftVMK23GC#0Q%7ip63{OwDVzK6z>?Vl@ z@#PYirIF>#wG()t6DK0R8#wPzTLZa=j!!K!3qv|o*K*CT%CKuUl83+R@-zOFhT%3=FI+ihKf#ZE>WREEbXw^;AD#Q#UjC& ztwn`T97!b)H=#%?5*D@kUr4jrwSRdwzrP`Cjs4ELH)#qXEzV&@5k0w&kj@BU=E-&D z!X|^jEt#+TmbI!(OzmxPRwS`=MTsQ+txq#iuB}l#5f8e^^%1AS?LKH2CtlI^tKggm z-C-Ml$l2dA3tzV+FW=T>2t0A|Kg_mqA>N}HPY2J9&M?cqb|4hM3(`G6Sq?BiQLT1<9c%=_wV4ZEG3TVo2G!j&JNXYFP% zVwI*%C@)?;Db?Ud;uHInUg;R03pWO(giI)R;O+6g#^Z$ zB~WBg#Ix#{zg(ALuYG>K*Vd9k%p`3gQ*4i68WIu^?Rs03;^Lixr0;oP3QqSOT=SUrd|JSk_e^0rW>LaHe7RJ0apX8t-xdMj#EY1;D6F{r_pA?GA$B^$#1311 zmXj`N^*R(gt~AZMhB#+e$K2R;kRHTbW|l)G;rpJ9rYJu)(~}1Xc_Z~&7?!hkyZlT) z=;p4~*4RmjNRqb0#MuX}AaLgzTxQqs=?!O3Ot!>!4gG!w6)PN}yaH4yGefc3Ar=aK_)gKufk($?_dcwYRGNU(BDb=(sI&d2Ka8)fd=6vUHy z>ZHFHv&FJkW)^IAZ4~Y8z(Ic}OUe9)!<%0_9HonU5q1BvO1w7c2Y#NZmF`?bo`5VG z$FTCkU2cVq8^EvJd*3H$JDRzMCDcjdAEX2&44Du)>buMxi8k{MFsIf^G2QJG7h%u8 zbkh`cgCBE!sxEH$28x13x}6{lm&~-x>s;`8-yEfAnKvd=09FBd$Aat2fdzYA#ge$) zOcU+Gb*ZWLDQ5$rY$)lW4n^%su93v2H_Pb~$6`b!AE!sgGaIXgoaQWWw_OKHR40CB=^C680b1BulHL>o4$9*LBHF8j+#DXX?krMK5lp`+V4WDJ_-5KJ!#>HdeuFn&65IumkIXw9uVeKPw9^R%cIlO z)#+f9jBA#ABU`$2^NX&+?V`z)3i4MHm{)Fnj{|8$iyx+i0hrK0Dp(A8MDqCP zg&_1mAT1fY*InXByNg6YciD>G79)A+m-)L7(q(Yc-IOK2claZo5>mP;6{lL?NGU#w z8w2j&F-RQ@$}yG?e=p*lC$x`d`%w5ZLe{c&n9Ppz&1`XZ;P+>(MAV(!c}w5%-xa(|CHl5?sAR09XLVh3$xfYA zCfx2F0exT<&8%0PiTcQ#{(w(e(5mKi*VsJh&{RO4y4<4d)D&)LeSS0Ap;KH}U!>q6 zw}DKJ2Zzp#M4bre?Bsm1 z{4;!F0yU?KVpMjJC!bVOpOOflZ6IUyru&XVYNq?r(E52}uN(&P=|j`+3B6}^d% zlXWuhn(H`e%CZ%W#&_80t=g)i>a%{%Gh2PO8g7kH|b&QM*J*u92?< zmq&bRL5=@KJ~`ns6vZ<0JkbGf^ys3ZGPS5>Iow6Q0uKkNO%N&(nuU;7o$6T6_2pB- zN6}_fOclFg?w>^~5Gb+-K4LY-3w!i0}`b2AP#1o$X9hS0S zMa{|mvBp!IV*NPVtDM~Jp<_|7&zYfVXPZa!GE*N*sGT~~Ul|IRo%s)rO9Lniu%-yl zz4xaqWOq@@eFlLC4(v?CQE*4Z>Qe6B9>J77*AQTh$`@g5v!PV~nz;r!`W6CoeZrl55TL8= zazAiL%JhU#d7q4&cU8y}k>Y$6p{&tpV{!iCPh<@G#ukbGX z(q9hc#^5{&M?XhlV$G(^a|ZBD4%%)1=)7rHUFhneKo=*nXom69Ujg!>PR3s>yEYtu zLE5n{xuaM8GxqXA1evGZGvp&Ccj1s#gbX|OH^(Em6>#2<;IPBZ=ZdX|QpuLwgUEVf ztf6aC{Za&g8^2`Iq3Rgiqc?ty^@m_NMV+$C(8EL$Qa8I|^5*9yPcJNuC|ECxbruW} z*vCeIPzSZYzY-K69|}WU7)~d1G+&sy9X38NnSX514n8r?%C8H$B`9UPZ)-A{BzRVY ztTRH*`0}`7qIc632F?oeJNYj;u^9WPE)qjxb%>vAn%kI!`AWZ?Fnr+sq<4FpZ=&?r zIQ#bLorHA0e+-|%0rP9ym76iW8eowK`(j&QF(33=P! z_iGA`#eR0_yr17nykw8(H zB{N802+-%B9N00Wv(P?{0wb@;oW#vM)dXTxLgBo>W4DzhN6D_1X)*{J=Ab6hLLQ0n z*N1}ZgMxrEEGqn%3X0{4WuP}PJ7-cSWdWYE@BY@hFwJT}IWQ-`LlH4}H;G&ckK*&s z@>LYA%a5|1ZO;z8Lhbm{FXp2J!H%a6za+mK~gJ%Iolcni;}r=dU{ z(fK#hUQw9f<~P$O=29DIhGUKPU;ymD-9E|J$W657h zk}UgKUlm>3TW~QkgV$p~l37i^^xrudg0*!X(BhLNSx9tQbpHUd@K!zGK)Z_^v&-tz zDevp=0vOgB(}0pl z6Dp}d>>FLZ3({2uX4wnSl-O{6(s|2OYM%fHSZ^U*XUX2;v){GJSO zgoDeb0jQo4Q4oj>3+sFEoLY2}i?2Nw!ZFi!!|LnFnM-kF!u-eWW?Lud@H{B}z(%+! z!eB8&dfs-d1dJS=Jr|!B91Eh$uIF)#M?%uX0H0A@m9ZCG>MRd@iXcQJq&KXW*v~X* zR3_NAWu|iDI@~|z>w=ah=_EfJYH!%sAjeXN^ROI$wMl5TGHA$#LXroNr$S3Y+PDgm z<%u#lL)_1635x+PO^|v^8+Da4r9--j&f6o6I{d>08Iqci-3>G~7hLq;Cmo731r0K2 zZUik^ncorulffeQ<8>*|5t(DU6)O@ylBlgOyC6UW^_=i?w+|INH4rC1!5Cu9j6@3Q zF-zNse3A+8WyhDTKUD30+1zgtC+CN4T6B(YC0OQfdn|as2=)=1_~0O(v!Jq>>Szj@ zP=SHlVu!+FhPFqK_fK9-)z9X96v93hP^>zJ*`NAk=etNVCxDmc*+?LFtF*~4CKT35 z1W^1dN;{%|CI%!`(X6jR{AsnIEjgekI?e7K7Z_C(+6ES<)EcC!0`j9 zS?PrRAy9CC!vF;Vkru>W_q9XZ&c5JhPnPK_x-wRdX!MmeM%Vc}JM*U*mqY41j7Xn^ zF(e1IH?RoQcp!9ULQ;J$p=j^(Ls#{GO2jZav+w{|PoQm8)6?ql{y}YgpI%22Arnq- zfhhYyhU;cuWU$9W&&cDQ?~8-fLS|+Om!gQaLuSy*iKtZY&%SX=R4!R06V3o3rK;06 z4FbWqRN3}U)Oi^MJI8e=d{SEO(a|_@j_#Y^5f3Sx<+-h>PP0XZ1TPAMw- zY!tAVQ#RQT^+~s&|O!)Z&H+=!K;qNj(Y|tXCBS>Q)9KS-bgWJ4?Hk6wKdlw301VA1SPHtig z43*-B^dE3Ce}v>^rcZaJ;NEC`ZoFQzSbS!<$i;WIcY?^kI)@9nq$mPf$w@S<=sXgs z_SSb|Ko8(BtPV!UIo8*7>WsC)(TUm+@BHR&l2v@QoWq&uRZJ~`TUjje_&ans2DjBRWnFH-)i?f&{D7r|! z5?iQ))ZbrN2oMZ~0WS<^li+`j1ud&cR=`a}ieUVI;VyzOd_aW6hdcf%TJe@=y&k;$7g z-X%$N&r!|)NWZ`YOHr*S8Ka1P7K(?6eb)X0VadQbInp1(!xcma1jLL#eysC9#ee9c zMkINcg>7sck~A;n9~cV-qzb^0h9(aWLRvV2+N1#{W!eJS5x#Dl75OM6bxST~yz?YS z&qnk{3{s2WMbG@Vo538S?e0j>lm(A8pNc`Kt(6=uiJ@4J`zdBreC*j+wEognW%6v7U>;88kOA__>Dc3 zD$yWvYSL3|a)|peL^@z~LfX&6J6!|IQhpfm(w9tx2g;a!)@o&z!xFbiy6H*}#EE5P zeuMPy)XB)(-1!GPsl7TVHK=nMUmka2qznM@)O=bJZFxM&icoObP|)H4xVS%M3fsAm zEJNH!Vjjzz^|$WWJ-Abu{85+rcTRb8`VZ=GN9N;T8(Ta3Xr4!4&vwr@*^hBFe=V(Je|Td4)(Nq}Zg>wsl7}Wwg_Y#`XUZ^lf(_3n*AJA2^a;cJm4)nB zDQkshJ{_Y3tTgeSM9CwkpoA|~zNF(otiLvp#SF+*#&&>s3R3N`>s^z>7->^S9zT~1 z9Uo;e2E#UiU68sI;uAB5#KIwl^@TWDNVqY*IncjZ-XA&=YPX*#(s$W9l0&%N{hJWB zH?(l3=_*Q@LgE%;gEjkCTlj`Gu8jc>CA^*$QLJj7C8d990SjpvbK;Q8Bh=^1g~FVQ z$TZDw_dU6sCXW?)4BlMK4!+{nXULhvxU0_!R1^Ya{mD*>pg>?_xBuo_xYSHV=BiKb zI&IrE-D@#YSvCa^90NVoxV2x`3CsC1bXyauzXTzP3(KesGK51T{?jsO_hO)l$svnD z`qWJh=^L75gU8nS)w5ZBigzCm+P_?Jd}|RiNWmQeRN_9Bv@N`a!>(pUk~TNPinGVi zDp<&ZxOXk<`EtjvQxB@hB$cMI?se$sah)_{yrG*h?nL4ExTQ|%j9*NIuAAsTR7@lp zanggPC;Lap9n$Y*_$CTT#xWWj5(}7+Zt*1u=Q}S(=Gx!mA=&yKl64Yucf;wBSs2L9 zM1D~f%K1qaeGpp}nnk)3c0gNvGrG}>N>blqR56RI%NYBvZ$ zdJ;i4dgRI~y>J?(?^EM0Dep(BFShbF7kH}r8&wL#S{x&T^G__X_E2!gDS;S{2axmhb(2L5kbcN@hMjtwV`fCipx8=DEs~WW2KJVv7EQ3j_ zU6%r&;1B>9@X)ZRh+`_~mbRDh;d!JgM!FH7L0%$C0Nn(qGw>tWbztf7(U)T z)sl&)#6cTcT8s9daygf6%P6cM2%G*EaXI1Ac?(wUXbk@g!s~cK$}AB2 zLBHp-{A%_M2RuxIr@N7>HaNx6vt{q&8O9HOyWtZDjxzq@)b99L2v5nt%n)pkPP+c5 zHv8v5%4;Iog$FtW3An~!Vw3qrC7T)^(legF4_28VnoA`LL26mRoEc&XiJATY$!|$x zXgG_+Kd#B( zP;i?7=w2Aua0tJkvDa}!i+>_+0=C-bPv!`Izl_!@*+NX|aDwGqlh-y>2}QH{suC5$ z06+?Xa3}x~4;ozs7NRUncpf5zLn(%uNhR@rPnM4Jli}9MypQVE$MX5wQ5zVYa(rfs zX#j=P3k4evF@r%@fw#2%1TjO=58Tq5hqt_$B7NpepJYLVnKie>iPQs zf0ML?aWjP8p368nlxq*FkmyNMXC5Tg!9@<-j3$p4#V`ih+A4!ncHzVu3|-(5?%9Vs zvYwpf%)`6PKQZ6RZZIG8RFk+Cu19;(B;mhXv(S)68UawQ6AE>5`DZ#RI>i!C2*+Hl zA*GOpQgDu5k(xO2gq)6Pct%H+rKEU=ewM-pHC<)GBs?o><&b~0`5ps%jT%U+Jhh@hpoWJal!y}K_f|;F5BloyIbz1-sjb=~D z2;HQJSarSCOdMoZn8?&WR=6q~8Eaq2AO|*eB$8u?sa7NlPt*hjQE|zBgQJvWOe`@l zUB#ckp<6z}qA#r|Ij>anq~VJQJSD@>B0G`%3qt@5NYjiDO7;kUgTb5}1Cg10=!jf5 z{p4)00hp$L4#1R|bzXBPhFcTWP*#=ZK&0lviMFRFUDps&t|(|2CSp!D3;@O?!iD`H z8uWSI28|Mx{%FWPoFYGdOZV01WGtD*Q9>o0xJanuZ$YO5#6ViI4Sc|O9IULORDp*n z`aJ2doNeC*41HR2DH;>Atqw6m-6(+dE_Q|*f!5M0j=Z2msnXwjIf?ull@)jHhWZ`` zEk>9H4$Vu?$#;=Baqv^?;Tw!)qKRJ?_a6id@ILOpcR2W|YMm3Mvg%D(ppU1I6as+5 zg49ZQYnw;0YyA*Ge{UV|%Xp8Iq9#o))z4t6I&=i{!ZL2BYj-#ODTr}m4rWcxAC zsSDsHBq|`7^`|^zJ2$+`5HD$z8(;Q;OlL?ynFgT0{g~0&?o9UA&s#IqB;pQ9T-M0p zVQR5&5|vwM9DrEASfpdhd#N==G}}oG=~c$^5b+dlA?~^j`r)I{{|NX^(AmlEq|hu; zDoro`{SFJ1MfwM`6Fm;bD^j8H_5YAwHkq(F4uyKXh_ijU# z5VVRhWyd~ftW-EjF61~x98v?w8aqgM3Yrj}(@Wykn6g>N5G51b#!FlV_7uQle)B0B zyI?^IyPBmC3kb}H0!jp6e1kAd@vl#W}9O!QpDVtwr? zK)?+1X&i%gv<*xB6$D3ZSq2gF6w?^64dwU8t0}bleA^HX0hvZJDEa;x8SNs`Kmpkl z;X%TUu-b6R0aA7UnsZ$_v=Gn0MZN-0jM8U>khxXkI55X3@eXWHLj zSWZl+KE|h`$|;!{e9%_i5++S$`J_0qt9EAtY44ux2&|ZpDt|d~%>w zdJK6S+zVM}C#+8A+4+lPC5{i5u)(_NDkh|0UVG%cT z4I;*0L!+!fM)kWwYmI*r(qkTXKXUNaz|YuV{4`97B+uu(jLnzFR?WONA|ob{HBgG{ zeYCwesX@33>23HPYOyyhxoZb({C6UMcHfvW)s=(lw)M0OV+pvPYHjiPB*f$Qi8DVg z4>;Oj&K<%z5HC7wX*9s`>MEQWn~5?#oj}Zb>BpMy!_?!PnNXD}!AhG~UaJ`VZS+)Si(%IpW%VR1 z%)5>SdQmRjVaYFSfLdr$cRnvhly1gjkd_fg-kJmfi3>Xk{0RWehmP6$uIEdrL)+1n zqvGtFlBujzl^?Tc(?Vi`t9~QFcyT`{wSCj1B3|;Nz*;6sG;H#1$Hg&g2lTgv9~3}I z&%U?)`3ckoLcjcNm60Ozgdi#1J>>hH0`=PjOFxH0ge_*nf{yRX+o~@rUmz5<;nerv z7)o-NDMe&h2b$%QFWA#37*hqFqm9+wi)UluH)pUFy$aExcIej*YI2eVghFSE$A71< zr95Ojx!Vrgz%o(%4;gyFyf7Aiio_Rk5iHTX6b`HuEO>B+hUKH^T1q1*!g&6H|G?89 z`ic)oUfhDprh!SyJb_{Na>OIbq=lK)5Q@VAE;B?MO@(~z5FjyU;kH|vspZ;@yX4@t z=?lb2&s#rb29XvJPFZ`AL44g6C8SRCw;SEGkY-f$4m(6ilvbpY5}BH*Ce(HoppbNC z=5GCcVgZ?34Df^$A#;lyGKVJ^Kv{q{bcDC|HrU8M!eGy1T5ix?)ONGFLf8+v-%zq=Bu%!As2%46!#|)Nl}x$cHZ>de5Fi#FSW= zxdv%Re*gpu(tdV0_}k6#6ChQOWQuQ6lxvQxzTL6w@L>&&Y)ML|Wf*nW|Ly%Y!HIHb zR$#S>Fu-FU3Jw+u2?>hT&7(u&mH^TRp_Z%(*4@+JtU}2KyZ{UH%K$V0ykPwWI4>wI z?h$h_DE~kJ6aWSa8XgK3+dsJ}+`ev{0E$@{PTv%U^f_xKM^NX9&fxdU&(*c)5FMH9 z4p?I>4>Z7dkv#$|778LF9%Kk3B`py8^JJqbVg+hm?#yKlHWA9P7{wZ?>9@1w_KfW} zr7a5h#VPyQBKth}N}7MiU>&Xge8pn3PtJ95Lq`_t(Nt)|C8|-%oja*GXn3k%poOZ+T|W%D$*nk0G3$lMzs&%Gw60wa(aT?x~ese0AuH z%IKigkH{VbjSF=8V&AvX(6a@IB!)Q@Tg`f+cmaW|&_FX-j1ffg`0vS!-q6`J?~^ij zFj*0@Hxa}I^eOLpJb;7L=p>y#vA03U{|3N6%AQ6yLD@73%dnL$LxdWZ$eo2hnzrxn z(j;(im6$2%AF;BrO>>gI#1oGTbyWBV83BNO&@taW4%_?;7{@}ERdfqW<{w|1Ezs@xE#&2egWZL7;C;a3U9hPyx~#Dk4XXut1hKSEPgoHl2mzkoN^#3q44G z;{Xmo15n>e3V zzT|w_HYvhN5$}NjF$2r{k19BSJ8EW7<=>7f*WB(t08LpyKSW5MkPw+rdK@K-gORcE zVrj@S&>gB_uG3%yKpKH2Plc1FMvi92p*44c`v=1$!#_Bc7YJ4}vwyEL(^8-oXHQbJ zw)%?8K*BI0Gf=wtFBXea{1=NM|HEP~+65j`xPyrvtqh-8Cwnf2Eeu&Kd%F!Y7?tC- z7HgXQ1FNkddAd#tq(-=V4^hQhCe9N2750B2aobXrU}aGLwwobFs1lSww=iAr+jK+( zMM&BD-=j$i<$po6E>~RLv)*S`(MhW%TLnUKz#Te537#9_Ul0<4Q1?F|^bG<+UAE9t zZ%jd;L6h%&6tl9R!BbXpP&TwI;SINlOz)5P{l5Q!-uD0qdNT_zqgm=+i272(fwO&uTfQ=tp7eQ(@GjYzNHJ?7FGh8{`$?IY4(y z4W58lrP!%<86L6R~NL$RH^oy34pWy};6 z?@v^(w_VbkfRpAqzwiP4v`NO}o2s4sk8$ps3DWmn>cn&Yr3H51Us@O&;2w=T=>_x=*CmdpE} zX1^h3=9~fOADqw|yKp@#DEP|np(w}`Z)^%*c#3|*nq(MPKZTRW;>1}KC^A!%>MIJh zXZZ&SD+#CQ>+=OeW9C$0QCp@1ceV?C(FE8N^tZGl*>4ya#FcB`=9&anj&f*)jm)B7 zW+7rJj>$7pXQh2s?CgL{ruvYpCL}16Nem1C(&Di`+I|;cxW1TU$LZXPA47Ed+C$Am zVwiQk7YX<8)5b6Zhi}(^<)JPE@vqOUnoFCF*qY7!T5TCHIi^$3x1VeGAoJ7!G)3H> zT>K}JD!)XXYW^udtZ7mG+e&)BJdD;qiOtu0Go@>UBe5Qb`4u8hr^FZe;L@tti!=YL zriXt=YGhP#&!l(#(Md`D*h5v$s1jJP^uqqtTaH&36Ax{46NBdsevQSu>fv{GT0OrRV<7|1np()4!`^_m~{0K4ktSWjw6-S1;jogkE3Fv|ApetLjN3PC8rd6eYRX^Och#FSK13{ z=azPt2yl`NmlA~HewN#CU*}qFy(!Vj3i=wED3%QzXR-fPNs66XlDLq>-`kK6z;5MT4n$V3N@V|7DH z8;<3TF`3Ur!pSA5lRbex=l93Uc~WH$ziMe~?)351;m==^pjf}?mp2<(rF7<(AI^>M(_wfTo|%7rPM5a+k2{V_CSSaff&j9L zZ9Kchhd#pn%WjlSR3y=toj+W6^GsZ2 zH~nH&=9Ja1O8f7WJq%(_)-61tj6TlX`9ZXGZaxeu9X}#fFG_Sz{mvEc$mB3*hERgG z>smmhvmz|a)0pYsY~&9a4qn7eAmq$Cw>PZj4?Iv~uCfVUba%@0w!X%2bEBgS(f{!HN>k zRv95KLeoYjU@$kw{ZA9=MB1#u^*1bQczdO50}T) z8$1(bx|f1h<6?L1jF4pJnIBr>P`xl0NJpG0DgD zmygOQ!~R6iXd57TjZR5%|K<0<`vXsBodUBEjp9G-O3=~ek4>r1{GZ5?JX7uV&{K#*Ed<0@_!gF&jgYl3yjrvDqbeD<**r|_BAB0v)WhH$U zh5&={T7qjb$~4l|*IgkD>b*a?_eG6o9L1eJ;vnwhDDZDF8R=YQGHi{&pbx=74Z%Q9 z!H^Dtp>3}H-46g9=xv*qb&S6ax=w^&T$QC2&)0^o%K3ot7Y5G3i5J3){b>lKNeEC$ z2(SeRLP-d43k!hrDH!Wa&+_#i(d4(?VAjd5N_v9}W}dDs13kv-_;APX0y;Ys|88Um zG3v5~i9zEz>Jiz=-KH#K)|pLP6#Uh zf7<)&u&UOtZ5Up3Nl6JvN`s^zB_JUpB@NODg3=)k3lIbWrIaoKK|(;fQv{@ylJ4&A z_09#TfbqNU`?;U@{p0)CL-umdIjVWqb$9MusXm4-%MgeFvkCi)&tC>#x;gxB(!{TwXU zea&8rB306;k7e1ItIQ&6dJYZb#YKG%P1DTaXWk|st}W9Q!fI{&$7X{(_+%-7hwB}XmRu%&%OOd9`VU^R(Te;_v!gm@dEb)Vdh{2 zJRR=Gf55|%wFVYzUGw}J?U%TY^+Q#wgi=$R25TgOTSjd~>mc}b5NO>Ev zC69Fk7KzDqmGp_W9jV4{VyZ3YlPJtYgtFI|eH=^tplW_l6+gMqEl>?VU3)jOPYS6H zT-P&n7SgqTM(;8`o1?~C+vJ>-jw^~;;%MRg3&x&X{<(4F>zB{r#Mu$TYlbCz3qa}S zZSSx>p($#^M}pWrbHUF$U}(_y6;w?LuaW3A4atD2Lk)O7r@w))IbGgTye-^|_6kLp zVdG)nWtd@)G&l6l*V&_YUrgG1hCMNS#Mf~>!?t0&Y(}{MbIfVnpauk>j~ze@f=PTy z_NYY=86;Ri)v(!%f1@*|=H8x`wIyP6TwYnU<{B)@9Mttt8><0X2W2)nlU!-j7(w(! zBf}sFkY}L5ap=&%4(svr^EG|P4Hs(W@xFcNTj>iCExQ;p*QrIYpv5%}1QV}xkZ0n88}_g&)PWE8NwtYc+P!?gxICzWbm`gv^o{-?+YMhA6A^6^Bks(8jlY z{=oO?AE?~;E!@;cjw8lNZ>u%40z!jL`i%Yz95V$YShN(6f?my)n z?Q4T}o0KJyxNPEffBk#nuG5?Z4IKMgvxR%xX_u!Ha-i{R3WkEB~$4;MbkmQ%+04SA|&VL4aA%yRp)v=GDQCJ+=b42$vXxe$YcBmYx(V z;w#hcn@cZ0vlI69;4O+K!lgcjgXe$;0d^A}nIlO^U4cB7sLxa=nS~^lQ!KW|y>cF( ze)KuNP(OC#+pvOUe++hs?_1Yc`m9=M`I_|PfYhvh+RmLOdIL2^kBpsRmF?=~s$SYdxP7F@r)FdInym<%h2xS~`7@#FYJn?-v~9zRJm} zt_A*HP9OpqABJFF;k}s`truGN0E24cm5?blHboc-cD!GHQrnBtThp?$0hsEj?@$jW zYuEh+V~P)+R*ijIEL`SU`1WpqTejz>t4Bv%ZpO7WM{NQh|K(`?ml#~{z7Ca-gdpZfIv z5X-#ZXXSNMoSVf`7VK7*Oae5MwMOhA-iK80G#^XJhabk(tGdxHxo5vozbu?}drWzz z_N$K~X1BmiX_Py;&Tcz%)z5E{EzLV^FI5vZc?TR(r}T8((^`u!pZKBrfB{eI<^vUtB&kL=$1hX{2WD$1tNg1jT{Je=5J1cb zSjQH~Am-h#r`u7nBEp-%E zJJXXNibSnli<(uTIdo!*^t=Pg7(S08pf1N~`$AD)6g$tG_-1@@_wnpfhSx%Z%~KZ{v~+9ov1}UJDfx)=0XlorEfHk!p^CULPwHfk$q;Mc3z- zsYnv9OA&rFWgN;2h^}*=0eQ@V+>R}Nu6;Cg!?lmsFB`fgdB-_Scxwt^QuU58qrB}RDy)fCt<2C);&nGG#zh@2(}wvV zbEAUKJ!dD1C*)0KC=$lt3l{_y++e&>u6K1tL@bZnnXOY`kTYSh0855(O9McrM=`(5 zQcf3@ifhE#J0&8r>sRXS^1R1bu1lbOg=?=`k|@u8;4#R<7~~1qV^I8)_R#_zRhu|; z)I1`S^|!ieb;G&UgdebTzREfEZE*EfC+TWa<$?VvgVr=@sL6{Eg#Zgj1f?O86x8D0 z#BLSYcvC^ugy<8{IN=Z3vS-1y@|lmMv?ULflpWL)ukWAP4Sw!o+D>EnNJO(|a$q8Z zR9}+-zQGz5nH6D$It|uXKPp|OVpjm?MnwyJe;K`N>7?Jhprh*KqkuPFA9G})N0M_` zOUfk?^KK0gf;lZhOMHLSSLxClgxNPb zo>G%g%>-ZfX{T1ldfT&sMNetcD^C$~6DXk4qB_plqqVW9YbE9m>`&OOxp+s+^FQ0k zDBo!dyZlf+4%77VbQiTA0P~Ps=%%`qkO6#&2`-e)QbF3U@se?HDzICKRdf)J%HiwPz*l?xjhzg zdji1te*ASxthO6M&RsgSZz*176IhEUdu<^!KiqiUSW{tQ#6f6~D05$k6%E9ShI}8* zjTH?wPYiA>0>LK>-=^2^b9j6jqG8@-(PFUf4Ihcx3K=7D!p6Xgx1A{DGxE$n?e8=$ z3oBJ2vEiZS<-?9ep!&%2F>Llf5A(e1--&AY=uTC?L6b*&shgf^@<8qi#!5!OPN;Lsbk*VS@K_b|!}Jbix0Kd@qSoypK?4Z%%lhhqOMU)d z#BESK;BUeZkJ4bhr2*;E;Lbcjc9nYsJC=?@qGf!y_<>&B=u7X;Km)?yBt4r~5_JX7 z2lBh3t(7$A5KwYD(O@TZpTXZpU*QZ#G=32kb!7)z3ht8%I#(H$sGcjv{-s&1wzv-) zL_s$iYmB&9)Y_M93}KKT!GIpYz&wG$dUV@8^T7Z`teV@7jc4T~n>dfzxImE1B`e`K znQ%Vv;?57AkT#YDd|nBLU8J%@b<;rw>7Zi8qk?o%ag7+^K5-ymY2)=;(AoRJntZ5p zFd4UvrK)kVzZb!}R|k*}QC@ZQJNIUBAy#w{D?0LhbT?Ljs|;YqA`pGDh-~cX(L|qd zbUd(WWOc08*VV?$bMV){YiJr*Pl8-hgF(453oAO)AMC@5(>-JR2Bw0J17@|$6WvL; z>OpiYR%>rkCqyEBTmWE327nn;K^}l?J+V{(RhU?9ibBpxy0z+ftx|Z41_ApsNGz%C zh*l}E$eFNMCzdSiULYmJuK=^EYtNyynPNbheq!3`jTKB+Sn1ddfyZ)gXTzInWRjE1n38g6LAV z|6N*6ZKTgQ=vTCF>|`5yW>|*`jMod+^7(`jIOrGCe-G#&NcQgyUEt8kx~(o9RRIt* zV8=|2P(l=BcTH36$mxpCs?sx4fg5GXskd)%C*pi-$GW+{a(&C}&LmB- zb!V4v2eKCX+n90ZN1@>$k0_AmiA4bY9s&Mvl-o`u1=j*j*Z3?VScmCVvGFR1FCFhX zKsXeM*UKiv_8Vdd$cqSsPAr@Np$}GXwVc2wK*XMOYI$6@)-UX}zI=U51cTWMu5Oaz z8oT4C2?M5(80{WrN&HE%cck4WLyH24jn~MFScFb2oCU$;FLYxav^smm4~aNbNx!YmEUEe~%C(R%4qk_b%UXrnx5jytD@&;+ zFNGgI&xj3NVsRzCd!OD1iyqm6z5$n>Yd{ItpGKaw;_fP-aa9Z=nqPmdAYT!PYEPL+U8n6jBpF}Bj=L%ZaAQo7k$@? zX&GyTYEyu>WkOe-snv~>>=7QXpvKqRPAXA#GkuIc?Tp?&?c%Z6sig6BGWDyBF49xF z1dzqmn{D3Xvm~T3FC{6N>k4T74q|irrVx_1JM6TA6J9=1d_{R)q?UfMT-sS1zejr; zj0snQx>U<77Rz>5d(_aZ=GN7DD++p^JD3stCMtf8vM)`eg`KQGReb=C4oi%Ips6w~z+dIuP*c+p_wMx-5G$!nObP7nIMUcuN`708^VR}v@beDgWT{@| zCCo)0J0iCcBG4!iNS6rop2((%5vzi@9Py<&plUUr4PZ#oh9*=K#sq4S$~KWbkRrMx zVlVN`Hjocp$O7HX0$L+Lis-xpcqqHIC{1x0ipx`OoYNb{Nd)?nb(@(^Iw{9$3GV4Ovv-qp;WaTNyI5kS=%)TrjYd*s2vOVKzc zCoc6sqIw3Ng}%MpQs%Dcg8A6H4oKfJyU2&q&aO~V#FsV@!og)qm~*Zvc&Du zB$24P7!2}o4A6ZrdHwG zU*V9a;6TUbHYeiUPYKhJaaYJ$YH8YB+t(ArDJYQe2|Xy5thE<`j-JYLm7o5~qLzF% z%jG_@*4Pqeoedax&9?~HCBkTw8~4a5l{}y3^vxx~?LO7Hf%DOi0Gn&!MRn+#NGU1B z$_H;JAKJKuWf(OT<-)=j!Xh8r-TZ`F(@i&{M+jpfN+0!VbtjdH`3y7Mvf^OBTY@Wk zwT!E*O5f>=Q-*tcvSOm>l3otJwPT^cK7gfR~ipLx0e>!Zh(CvjU65j00$&%?W_z0F$mu@UsdwNXmg|x z-1>B|W7wQLHjYBdv*25Q=&#s+iEdmmTypwEHD*KTJlONjw2n zM}w-O$%SG-HPLkK%IH3ZGUOG!9lBXW51-$Y-Z}h^ZOT5e`n^KN|A_zUhw434_c5s3kh`*a)|sC&J!g!g8@pm4bX6 zjCEP~ilxJuw!?;1U$rL0a|ND;guFL~p8RSD!c4(eB3kMRsj#!ga)18}-dEA+^P3EK z*N^hXoKoif(1>pTj@Uz(;+MAUlV1v6$HA=oG$mSCW=$M0jEV9oM)jQSL`ufowS#%w zcYv&M+$xpqdj?q-)2= z@G)c{uSf$b2)BO07lPCU)#eg5{2KKv;sQeUlKLbAZPC0z|4S0<$wn{{*fUHPBAuldjrGyZZWfm>B|m41l8ZK(|4f)&wkREKwEy^x7Y~dZ zV0&$fA$=uK)7a*BhF0GSg z`Dz@tp4Qk)m^m=*gBtQEt%F5N{w?|xvzXfm18DTvbQyro%%^S}8l-I9Eb@dgK?!V3 zR+hu`hjtQ8W0RFRGq26=X6DR_f2D7Epg?_A1V@Uce97#bgI(*=bhji%vGHza91wBniZ|~K0apajGkl8L~9PeJOf+eyD~++ zJfuMfkcSh<(*YE}3X<9cO1F!<(bR4CZlGJ@FDuKqes52JvJNi!^-|Zwet2NcYZvbX zlG(BxF&cXEB3z+xTo4g`Rnjx^kk=T6*HJ||=&`gzM7+(j3VC4Oaoy$TPBbQ9R+(kv z5H$(P{(x&(l>wK-O)T>^Zp{vC;D@6#Uq@GHY^m~qS|i@!{O*siI_nKtEaho>-mE&iP2c!7s;IHDrPi3=E12J3 zhTWl81;g~#G*6e6-Uy}Jd%w~F@ij41iaKKVJ+nuB!bALj8>~u;k&epc6}jB{7>v5amE9wQqzawnbo(E$nxFvIbhG0FSXS z-~Iyjns`l?C|yP+zW*iWDtY)-(21p81)f6`<>0|0^Ikew^t(!o!2?knTmglwGjUCC z#5()ivhDU35I?+66Qy>u!5IO59R_r4LYr@EO&i^err^fXF-c;n$7z-q+iK_6-*70i z>x=onpn^-hDTTO&Clb}@@b;#*U(i={c=au6iZYv8#oDm_6X0_T3G>%MBT@4mY6=om$P8D>KS)pX;-F zpLk*d-MqPEfAkH)t`*8<#`+#WL_0<1=&Iun<;A_s31k)q4+V`7>0CRR@gsPeZD)Kq zff0R&TH-Nl)mS>>p$!ZA!{V&>Wtr84*U=Mn9o~~a1{#O2*&oo&yGI=T9w<8&Uz1aD zlmIzsz!X;DR)xJs%|JI>3fQ08mvY-lt9pJNNB>>e7mO3YazJ)L(9Ri zruc@MJ0vh`^iU-HFAVE$mFq!sQKZBuZ+>A|y8X>V?5_M}*sJ~VX z> z$Jgd~am93q8oQ5RNfcBq2C6x>%T6X&Af{$dY!U09FHgBu!YRDsPbhfD|Kr{ zf)OSm9(86)w4mx^R<{vl(CD$HD%%u&V8m+45OM}|xt5APVrfswn146kt^$#!fnerV zzhPBb(Dn4~x)-?)LLM0#9w4<@YM6yZNzsOD#)ztBNjyjMuU0?7ekMQ@Fe$cla@o5p z=t%~-ROv!%EO)EcAFnU_{nfB0uaTeU+AtrMgjz$0`50Z)K5u0^W}5# z@VaD9r`t{>5g?EC);_Ll?fX!3gc@Kdu=^`>sP*Feia33v!|j5_YK8?h!@_pLk~e$6 zYDP4a25kuk!;GaPkZiG2;B>C>CmUPbY4Vi1zY=bA3#7mF=r1km*C z0!`1Fr0{!!9dhU)u7wbP6NXQgmI-&xcriYP;YQNEvb^o(R~@&3LVDd$N}ira3;|06 zfm{QDQW1e%$_v)HB8&)QRjQ6zYt9Rug&~+Zm7q1;chxQ{lGvf%h?pg{UBLRsi6VB| z$%*2l;}gYMRzFl?TRbb?H#Gcmqs`5}-JfQzhrDoUX@7L%$sK7_@*)(WA{5d0C_>>V z2z@0mtIhDARB(99I$t__YfEu+%p)=ted~GI!9>FXGzx>0&4C9+rBcd5f$y}i$T5kj z+<4tFb!Bjkj1fO^&|+!F^ky5@6Bip9lzxnsFR#IgTlJHfR!LMUn-F!9+$~#Wx~h&K z!Cb~thx_qUT{jfq;_CYj2U5ig6v!HSB& zh9iplAi|Z@xUY)BeGcnf8EwB$kQmv_bhXk+dqKdl?lni++Z}A$KG!cdi5hFq zwl!}8%ZO7iL*7Ul8+xcaKTW93^(+hGBP&1wC)qMRBQAFYnj%>m^!_x<9>g1u-oFly zv!j}Mz~a+xh>i8uT$!>)QHX`adt{-#;wyo{?D2`MljBv{LK{}s1CB?NSa`bpsaMd) zsqy-BmlQ$gR4bl8-zN^d(j7oV?Mqu0ujLJ_7Cd)m=Tf*8yY%)(>Xln#z*CABpTb9n zYFz=0QHO9bU@ql`+9vvSD#mCwyd3z;{38P~vV-Ea;bjYc&uzn%FHbl#P`__h7P4S* zJ26%k)I2XhXA=N;v$3bYI_Vlh;-_}=Gs$`~S!IALTSRXUx+&{55j`S)Ft;8oa!xlI z?8I9H_#%WItVg$DnqKv~WC86K6OiLNwXr12vgVd4HM9(dH~1!)^ovWvY0^5Ffa)?h z2~-z=AT>_Sn*XZ8Qox2oi=naKM4z2>lNJQ&vU}X0sg;?8ZuX=jS z-1p$PSM4#$9&H!OsV4kpp$=h{{>u8GCP`PDG|$_A?LIB_`6s@DPP$uOe#vK2_flo< zad9Vxz0-$DyH@awh*YJ2kwd7@6r5eaEaU~R`2k462WUV-QHpxOXu7P}SGt9`-UlyV zA@g35+F#~bAf&)-`|PEfj#+_H*}{M}m(iB*BC08?b!R^O>qGTivOeRbGEj9nsOH4V zfQViielyg>tX0-)VLzJ*Dxt#6Rv7TkSo!$higjJ&t(U;TQuD(CrjB(!?k01{=|hP2k6zY2KV!hffsmT4-luFQH)pHYMq9 z#>sGykkola2P%&%KHQ<6pD)j}R^cHiXldzsUxG`7ZXll@*OvzuGhO{uHw+2OMwdXe zVN(=-r-r#9sqv_7@Oi%@+;H&jeYfejW@9dQhnNt7>mzF&d-tQR!_DtWorNs4iFneX368I<3np|o zLc;is;7Zm(@Mm9J*bUg9KLQjEfCW+$ZvL`QZ|GT=Tct27rCxPt($M#7O}<^6Sx{>5 zM}QB5MGk=#x`q%AJ&Juqy)3@BDOu;ebAw6VW`_o;DfpTo^*)ZjEpG7D<>h&V&vcUX z3U{(1k`|hLxKe`Xa|L1q1KRfCKqc*HlpAZ5lpDp5MbmKS6QXVkvPK%9eo~?5T8N-D zMH?UwfLnSz4im(+vSYR&#D1f%UGjOJ`QQ~;H)2@NW23TN;ir_Jd0O;=9;@ZjZD&sX zTC%-9nn*qBVf>@ z$2YIb$Y#lX5q)H96K;DON(3RYxge~L_`kt*FtKUfy0qq*YD1OuR$L4Ah%*j?qTBx~2&6m@VZ{ zrs^9PjQnhKuuUyo+U!tQ$oy#?16~sb5nC%wm$4ZJ)a8z$PSnY++p&jcfI(ito2@JP z>?5qyERzX~c_?Ddr=GiBjyAzzOh)s?xghvL5Heu7AfbGqTeHlb8G`+!g2r_fKXzV! z!e9Chi)>ak6?!5bpdXy-V-U~1wqR!LA+}9qyDFb(%6(%Z1$iQ)3m~icW#RGwSC+@U zJ@BSji8P|I4g^T>Js@PjzJY|gpvSpxMqISFom&t|wo1quWk_a)d=L#6*8B!^0vynC zN1ttc?f+_l*pM2#9siW`3RS}sR^&j#D_G>HSahf+MT}^qgO32IgdkuNL7raCWSsT= z`uhLmUs8^YIXp2e+my1;?G``X=dWE%P_n%eT&aX#`+*d(O3s69k+=qM_RKGk`^#j-*Cy;7@^sik(b^8RMUSqy z3<9zjxm6Nh6dp?hp8Uj=JTVHN!X!i>`(zR7)>2SX2yU;Be0hgiX$IprknDNoaF`l1 zb(HG3#UDMkR8pI8NIW$Kd89*coun{8;64)dO}W=1F>|&$*68l8v6hrh=xP(^k@)uo z3LLHKudLY?9unI}{?kKb-s8MsW#1?b<9n^oW1gn>eNgXi-T z=E1u1fQ|)CptO$uD6O!HC#5wND6PQU=F&HMEsWl?z)3xNG80SYi6Z%RIuZw6)hvF( zP)YztE`}er2s6k->A zeE=Rxe}S{e`k|TijL5!0owRW0DeUTF)##b*Fsz8o(9QgOPxwS?(IJp_*}Kjwng(C9 z(}@BM=dF|qaZ|#P+hoH!K^`BbgRu%?CGWh49zY4h>^n?<2@*(uwg;eePd(W4(^rtNU_2VtxBsF8(Ku z>sZ#m;ab`rO)L~Klb-21-x@Q+q4UCE$o=F%*={B=NBB3 z07Jt^T|1NCyJoJ2gt?$}C|kEG8C(ym=fHY;Jq*6H9)(>frpg=eQr;w>v2c8{WK6if zj^Fj~#55dRm~(J3%PsaevL}_Epr-A6x)go>guNRBdcrP1VjhuW!W}(PC|CD_W0WeB zIho#g<7L_W0YP=SB=WH?R}k?IyByrcM$H)=K|PWG&7!m~Bo0PW zHWsZn<+V8*A4)+ukOXi@D7sm4G@kFX&A%#P93+S$d?vsXSeT_?G^L%YuN=4XE#=Sm z&h0eKdrg0>0O8y=F(zZGMH1egt@2SJhUph6LcfYz#+rz@T#6O47>< zlBg??8OU4q=fzepu!Td(gys4rk-Jb25~L75^<=b(>BFPLSr{W+XG>@_f!Nq611x?e zejx?1P-iu>1X|ieYoK>gZ{co{)>b(UAgJmjfcTil0bERKR^_@XW5y{P9YGYz%=Y+7 z%NR9!pXSny^KUgkPpyHnkx>0SL*Fg5^p8xAhhI#sBRoYrosjQK;fI6nmi;9-T znkvu+X2gFifvlcHO`(C{j0JsFgq}$YoB?u z%Yg?jiLA5iH4W8La&H97DxoQk(Zs<>D}9rxm#Zh$!c16Jh9*bNm=Yk-1vQhS%4=LlJ6w^Ism}IG_r63{ zVnFMO!`ALcex+h-qXvzjCm~{qB<1oRTJjL}PQH+L$GZ7j7{+jhXxW!}qyBfclq2m@L6x)E zDZLV3j6_3To2suT#28Z{DNnW`!J51b^K6$4F2dUydD?gHjo$TweA^vPv3q?1ybo_X z2Q$c<^oESvGZ@bya2RGxV!orsOvEXlxUJsv5(!jD+GUlI&!MvlVlU{r z#{(BSp=x$T-IiP~%)x}WKj0nlTLdEPWS9au&KV1J45pIuNaMKSM;@j_9HWG?3RLJ< z!}E32f*E+OxQtRG_1$ev2ebj!01P=`Clb1!%|AD2-J6p7dx8@ZmbT$FVlJeIUNL&r zL66_6D~?k1OtL)4ZnX|U5wbvYJN|AAq=?3Ag8$X|8a`7=A&_ZUO`iI-y1Hr>L$p+e z84OJ&{ViVouL%=JB_lqTciuqkS#sA$#2P>$2do(d)b#?RPz*NVd&E~}EkI!qpfvg$ zynJLg=8yLxY-`!@)&xm@g041|JWk2L{S8VOQOz|mL5_Q$a+te|y}&Yn%gE%QhppsH zC9-HfS&wyVL-BJanyx>|X0-VHb*vn?eWTV|o@|tcZ z3FPuJZ}k_q_$%wlhJ{r~StAvV0Dw&i&m~Q!7JQZ1rzs0L3Kaj^Ll7~>N6VOaSgJ3! zU*}-(OcloC__bWXsJ7Za%vh+fO|%jnls$12a?aPQwVG&C|3_<`cNmx@IS6OP~e31!66{?Kconi{4>E&hD>vDlowl!?Tr8I%woQw54J zx%gD_^Y0Rew;gE*lwISz1$0igY>{j%c(pgggnDp z;~B4Bk(JVMZp0wlS_tgX|0=diHmo2R6x;8;xkQJVM-$38{SN=F~ce?guJ?H5Z^=icbXIYeh)~8c?2~TLAUX3ZoBbo2ZGXI1fVZn zf516@>AD4(c+213DJ{UE*Q}YBf;QLmj(_M%FybPG-G$d+i~&uLj-|~B^gZ@3c87DT zBY4>I35)|exU{|o?kNVNpMS}B^YkTO6Yd+Y4dThBKfY{|wL0pn@B{lZvjUwuk}0vF z3;D%4;D9+w?NiZt`HgG)_Y5!HB94B+HKroz-5{k9y@2Mm704#?ZeB;8&Mls?gj_g| zL&&p&=mqk+-eIPe^u5guMi;p$gfU~sUW+90-F})Q!dzAU*wB1s`4-X`oqGZ0sHP;7 ztp1W)CNbBFktzo8&V6f+hWLpC4+{w1N&@9pI>n49|X&~G;@Saj|QN2eM zJux3txRM0-)f1Ioroa}FI_9&eqdXwa7@ni2exucGQtPJN+rf9vFM@8KO6@wx^und! zdDYN~61)ifcE=m3WYzA7u*h!C{q0ExL`GltZx(B}QGQv6M^y%k=GHQS>aSfh*SIXy z9h{1*w(=dVKGS2{&ba#EV0n2y3sPoruwUuYFEbAo=*}Q`l_Cp9`l?J&$ucl!m=Pgs4s9WyPr-opB1px zj#fhpx%E-&JA^+_tHaG|53=@w#x=kpoyI}IQ7PmBTUQdk6lW@ewe*ul#So^Qg|6{s zN7pooTWygUl>$!^AjSI$H1%-cCsupKW5AQ*z?1#zz2C}Kda>tze|*CrDK_qjd|NIs zxh&`C_oo@V3eROL`yu9)>H}Xa4%veX!{)_=Yw-foAF#c7i!WvH9>JOrc=kC{xHjxi zrC^zC*7K;ktcTSHWv|kmcLZ4|h9Qe6%by?_jgmgDj6?N?-y^Hd=?WP%DvdJivg_?4 zKXk@4VVybtFKl`n1CwZht3b=>xN?fm>rfvtrBZsB}*3*w+T=g@6%xS7gK)(C_`9onAL8VNZ;1`XABf47pP=xuO+oss_xard=VVmjGn~piLkoEbbtsbTF zYmLDH+O(Uqg$dxweXhgRs&Ugju)3fvB*PD0X;O~`Zl5Q+$Gx0H%IRR|>N3(dSqZX* zo@$wSS2C$#RM(9CX&qU}U`Ctovg>}4X?s)Hw|clq21prFmy_GL^%pX!Bb_y*5O8m! z`bs~57|60$0jE6{PO5QC^&g{>&*2nOk?O!s{7tAk4Wuqf*~8LDU~hbPE+IO@A|fU zg?lT13*xxdPeudI_;!Rze0WQF=}0eb-w=basRz2^ocRsjx0%Bu#*u=1A$d)gI8f(D^!N359;+>4v+8@0&o5c!wEIY8# z#?ARotKD0CN^Dv#%pG|VBi@x9{Rhwd-T&7i&GL(9oWBU% z0QLPA6ud;HM?Hst=gvB|1Ogb;vp|?0LQaAsn5)=x_Ld{v-$2s$=h*BB9zL}`YJ$53 zxwK%QBZ#!cn_c)U<`C0%OR)Fx;4<_hG=6<^;4X+P*dUa58&Wj^EdOMn)@jeaF65wOaGr0@Q|Mb`an$X-P zeF@}t=wEXCf3%1*36z}*sT_;}5NVPH(Pxp>KlQNEVNZSf9*gaR?S1=#xyo+oO~{nx z<8;X6?zX+oc3bn)Ih3EP;d3Y_yO>LJ6MF|6=zq($z5|whi29?{IWYS!fW(tk&q3ZKJ$h2%}*9%7$r+9@(&6x;3^`u^T-B>m+QlM$N`Eg!*lv zxu+CTl_mQ+l^C`UQZ#a8D(e;QX2qjj3hZ}XGoJGfH*V(D*TF3zvEpLJHN45>1@<@olqi@r+IbrTUqOqwRCj!1Yy_BU3&<>CvxeAA5J?Q3}m0NAj z{|EdTb_lWLT>gle58=>`X@&opRp;t1@&54m*C}v0aL?1TRcamx;4zgP)_(raRqP)$ zyZ3{qJ5zhkmC-}8|LF#gmU}1+F@4*E#&HPqIL~m-&gBHTC zepuPt3E4Z8U8!7v4sN__Si!sL`4f0Cb9=7YnaAOtC*$e{e5woqGE;?CW%mpu{(A%h zg>I@sR{GI7r*$75Qxu@^_K!<-IaEIU-;JE&_L)`wOtDVHdgp{)T0o-Io0>;K3?Nza zqiIL~WP0#Gl`T;Dl+KW9Z{z%-&VLuxPTxDU+hq0EfNH@@`wxNg|3dY9I%mB3C-0mP z(2po)p1tJ|Kr?hlnc!a4Qy9#Ci*Egk!p?GWhVu8;vfvrl0#LR;h4S|`?RhAg)DMBm zH=gh|U@xRmkRwcB6WHe;K^(wn4fHTag3Oyd5QrdDWIyJMJ>8*#<}l`2^k|eoGh$-% zz(yl&eUt&5p>X&oSNz+LM(f*!fysg~u;t^?y%&N9D>KTs*lS)deC&QkN)Wi)6Oh-$`PqZ$EhfVT{)DIV!Wht=fhF4QVV|O>*(bk_&}w8S#XJ&d(+_W3E!byz8_lQi9~0r9s9W zUw$|Wn;tF+NZf)(A?{bJb6)l6_Z=L5P}-j#i|Y{_T7J7{xWrrhvwwy5I{inldcw8q zc@Gt4ssYA4rnQE={rRGU0YMJsO-M<=_@`e?ng$_AKbq#AeM>N?-b;UOZK1P}M&~ zKx*e2Jxl;JAZ=exYxWs-{lOB+hkszT5Xd;gOTMG|rI%~8P7ahmB5=@C&v@E0g+dpN#zB*adT)J$;Zr6TiZZjGv8T z*MZ%@?kXEj)6by%iC+F*W&VT4je3UM?EnEFlk^) z3Q*b9UdUV8UNz|ge~6lc6lskEQZW5&=7sd^SO0fv(Q&xsjuody%HQz(U!~mtL!a<& zZm#1j9|Zo?$@BlK&DRKI9AFWL_(~RwUo5h)0M5>Z9G`JPKc1Xnq#r@5_ix1_9XrKZ z__V4PLojWZAkP3!5p0Xyhv-{=~EXVzJG%4jVk{dcM$M8%bPq`o9% ze1ikj2B*Mm{Ahni4F=i~R=t+&o!vjoXQ^owB(TW-#yc7ObUF@=JN&500s^ik3oyP} zppn^z&}_K&)9KKO4taYYLmC9<9ko4Q?$=!Vb{)#&hxEVJ@GFm?(3Jw>`tS_ye>n}B ze#tEmD`wSg%V@1QrE{&=38EgmwjW`p7wdeqWM28vS7lxtOY;YW{yf#*c-wXzP}_3N z)_R8AAzf_<2lo6cfOuNp$yn%99kpm%nDe_98+IG|P@W)Y}E z%swe(HT~M#nFb$vglJj*8G3kCRw!~5{{76%(5?p{^+kXoPDM@H9(b_BQg00i(D_V1 z1-Rf8YuCkTwtgLu9Rn9qeSV5#3OEaG87Ixna{)V*=g`jBayAqaSu5bW^x*6yKiKFe zpyu|@hVnE8erj`Yi!NDZq55x=?4Nd>UD!uQ*>Q&&69GWq32xnwTQE@Fw${mlb0Y5D zuX2R~y&^OXq6cj_jZJ`tQ`=f~_b(HAmP`ilEbP{oB#!6N{?rq{dFI6X5m_=E?&pIK z$Z|lVb8Q{hE=MSZcKx>XW1{|3=KsMnXHxAv%ug9wexts!*a&iQH&7BHJ6%P|`QGUa zOaG~L`jyp~Q3v@;v5;|h)1zxnySKN_di0=Yx{FL4d}N(*%t4!W>Mp#H%+i}_kj9C) zi1|F3GmAME8i4l!Ch9q1qI$XgIH{xXo!Ki7vpFJS5Hv!~?TNtANZQ7RD~ca(tJ zfR0k|R93(_k@aRl+sf$=dn{aC&};`}sdtPvq=$qgMe1*ugf5k~XPRvO)hnEz=UTr( z#sIQDgaPg9V^Ge6?zpk6?Cpj8ENp4{2mb@i5dTM1|EQZ!7ysazzc!Q?Kyp#soB>Bj zrEA3`6t;`QkOnQ+z?1VQ#4Q1!rDB9^Iy8Yl9%~9PSbg?r8LT}>urgkhGCppHD~Kso zoUyy`Fvbc-fm!FIFAHOJ=^tJt9oeqFfl9Uz_e@%lV5P|RVbkQAhU&JBqIO^-nRWEp z_-~6r&o3>t?ej_|E2nY;oRuza^IW0&Eir$1k=^tt%(@!ro2Fm^*^bZm;jA;eG_qA& z5d5UAtB+NC34|@~@oyZkd3wa#07yL!<>kLFBdW4;P!Fuhzl65)acR80aN=qfOB#48 z6X!g#r6BxP&et6eYkA9$yr4~_Ex2y87<%sbw;W4_kf}U20ZLk%6JIPiu>8`=H#=O} z+wOy2r`JpH!b+Q$U(kQaEn^sdD~Vja{H* z;lVX+>s|*y>)S-L2mK|Fpx}$q$iG+_jn8Ycxz73D=;@?nEu7MK)^6I?zahSPba8}Z zepv%+ytAy2+qUJ0kUJ6fwz-#MESTyn!|gxKUenf=+-3REN&vSs2(EX{N(G)DWe@xj za7ywK_*gD)K~DQ~wybmc_(Q|LHQUYNS#Um@g%fmDKKN7ROrCU%)7bVpXg}%uexuYM zoN1JP+E{{McZQphs? zzat}v4=N9zZr22Eih>PC;I(OXtUa=DoTEne;lYRQ)8t20)|bH}SH0?!Oj$Hy5cZ4+ zGg`f?;Ykpbc~OPLVP@z+Bna_|$oz3A;E~2J%3wZ`E$bip|Mg4krD0zt(d+nAk`GBW$52 zHuo|r=7a5o2BQM8ACvqT3f}D4TIKAgN(jV~^RAy+$niat7JkR}s%E?gzpipE7irJ2 z+hThaJ)jN8MpSjy2SkD$e+||~)a@1B$^i#5;4p8jBca2Tx}!?0;UmX^nU7*NF3(qv zu*7b^r$fd=c$+}3i0kR=abJ$9x746|=sMb~(n-tFdcbK{Ro6e4+??o?eg(_;=S4D= z5{MxdhveIx^Tx6N#h}J5KKjwbZ_IH>mB4eO?Dh;D`&!KTm@YUxtd6~je|7q0eG8d7 zu68tDI9&Pf?gc_=R!V6xgh$%6Bo=hr%oyvhetGyEzpe|DeP;bpAm3r9$L~wCKXQLA zxU%u|XdMZ=S5Y3xAL7T!5h9>N=8{oc`n$FRrc@I#SsMNQu~QK{z(RajVAtcsFe~{{yn6t#(radxs-7Iv+ygK=k5W9f-TIYwBTceoz4ZO z!>=PStc%<(x&4oTRssQaH~mLI$9u}@*t1RLe)svYS>uvc7SL62Gj^BR?Rm}b>HRG? zS2ONgVtWa$O`F#PuKz~!%jsAQsKR0&b(Vb*oK%>&mwfBRX!&2Vjj$CSSJ0t>QN8{<*x&HdL+PF*^3TnCIvh_L<%0i?E-eY9YYL?`kUN+(Ay* zTcG(n3IS*JeUSUf%qITOBdx8QhafDiodVz z_M#T9@z8#+{j1+Ma6X7GCTm}SvEKaKVSFTLL%*{+zz$H7a8|ZI=u6lc%V?-7Sp1#0 zf#~&TB1hZ(SK>412V@uie<1^Hm4AaB5WDwNJOQfi<7%r#mIi)fdl{;Bc^jGJzqw!Y z81nU+t3^qZP(P&?>kV#NeW{nzdH07v@}LH21JqV!o8#I|0Qc9r1-PI{fYBbtKk;87 z1nT6@Nu6{z{a2klnetzC@&Krlhz0+ylU|kE=8$dQtflwuJ-NxHdpy{};+}6_A-7}0 z@KOqi!_WA@ZlbH!8?EkRb~eqyY|8Q)PwrS#21Mx;_*8I?aJCH}QT`zZ00UsCS|Db5%REC;UnbEjvBAd9V`Nf5h$w>-|X!{L~cxp*lar z4Jb7>6RYmG?<7Bmd}O>j50Yd1RUsqCp%oGX>n|0OpON(Du*tDI1p$&m{*6C1kJsg( zVt>Ds0FWI|K7FkpT3+c;LH+|X+{c`WJDOuAbHP3FX?Ok9cx~rRPbZbXvfod?c@V?@ z2E*24lquTQX8ym)Y=FK3?pe(Ey_TG)u=?CFONCbax=pp}QgCeL;qP)25RpT8faV{w zEN+FWLltX;i^Qpn5v% zL{FRa|3O9mjOBm94gWQL$etbZ%Ii&nN#tmcHP0s{wh?XA=FKWiQBvUo4gPG6Z9qgg<5oqhscNIvFCcjPCZ$-yCDxK6W2)I-uDzfx$C|s zA1^qzP zod>nnZ#8Pl->gJ}L^99LcxFvZPIvxsk6*93An}=@>4bw+x9{i;62BNPUv<19 zE9dO`Y@vQTT4A(^?ka)Tc!Grn?km3yaOR>gHZ&?gXd*n;=Ly9y3jTI6olamF&vg&8lu|`w@!SH8Rj9f%?*j8r zs~pd7!incA<#i@bFF5g_wytR5dMmM^S{e7en~RRtj`Vi31Ru&xyt!6Kl;(|_Mbhcf2*v#)l?k2n)C(StJT?c0lSvr=wSvE1gbuyn zw7gTUIHWLbp8acn=o%M&KlS0g7|&FNSc+8-@AgzaUEjlYG37mV><={a#VULp=K;K? zuPh(ku|XCH|x6BMlJmIY!p;+Ux)>9D_FSV)d8(l z3PdP~ammU==Y-Vb>`^$BMK-j*dTTn-kmk|8B=xEG zw+f~SkKw8(csM-<_vakl^anC@(y-i>ZS$IYd^_VG6Ujrc?VI+q0Rh>G`h7LQ`f1Ut z6n%Ch+l)VI6E4L)4ey z@@h3@C=UU3@?ty{q1LKUt+wS4T$a1w@na9&JuY)AQTGr17TTs?9P|b(t5t$`kHnrF zqK;iGdPU6H+m&DU>N>MDD#MomEQNB`InKMpH&EDp2i-qE{Es|`hO+<~PE^4|Bvcab zbIEF7aod)En4Aw-<6B^jDTBp~f32YZ0aZKBDm$}+Ww)*BH1U!Dhp@)TH^ki^+CTCQ zxJcLMs%7NA2zf%MGy@^|!ZJ^);I8!pmY55;_1+t_y06|z2=GX9m0dwD@E>q35GTf zUzcSPJFmYgBq;l;U*x4<>i|*#NZR?6qG*u*O9uQ2qyM)g6p*ndAlr-F`M*&MX??Tm z+ep6zyl+dxT-~0BylR{t2~auG^#wTa z|7~PhP<*d+lciX;Vi`GzQq&iVUN{N*;RR5hhE{i?8~8HKooDv1XlK>$;&#-N1d~}d zgK&8<{#=GIiU4ZED04Mkn-oX*voHt+vYEmz;~R@0!=E`PH-k=Kh**37wqSiZ+i?qX zHs)iN=4Ip1KQ`vh<)r-zKur?1BQL$kgg<1=Npm(t{%7(C#jC4td*NIjcVvAS-GKGB zq0w$v6y;1_9y?)87Si9Q0wBpi`s2*e>M$5G9aniU8wc5&T!!o}n!6rMO^ZLO0Q!I- za-fGYhWU@AY>ssf?63Uv>etb8#&;3FTSh}^0svFq{}gHKP(^%TcGxuG%V+0x4cC$S zVy!&Y#F|0RJ|qhVrT!6aCpC(%;vdWpUB_?P@~fpYvju8c(*vD9C@_ElfHm9)T4PN> zW3Hno{Ie>UW1Zit2G{}oaPeYKSNC7&>8w?_g@e8=t(~p=J#FjkczjTjwp1yD;wjF~ zEAA+_JNX)J$)&T^^2qb!7&@8G4`_8C3n+?pzO%{X#_vFWYxHEEDLiu>= zcOMe5KO1m0Tphf;+0sX`x|#GME;uKT_3BG~9@^r;28)?~Ps+*m|<$t&;7b1KYm4eW;3h0OG$;>N719))LrDHYpuNF{a-=>~E zeKL%%P88HeoEex^Qbq{xQJjA|l(JVIewsd0`R~`Bux!XCi`yc!wP#)!xgW2(fYD=J z({dd5_`2fhlP5!nWlKZNLI5xN#k@?0rRtI_!P437c_twjKxg5WmJ85`(A)MG!25hp zHv{+AFSsyz#BRaZ3ZeJL)+77?N}^D;9Ko*k+CYwfINVV0RJdg{o*gD^lUNdDRX+?Cz$ zfQSDveIDuXvad?qZpF}~UC*XozpLxc$~Z=x$EX0qSlfioR#Bb(9P0^sV;4~q^Y9bb`48}heNE&s1M)$`gNr!I@G=CF(G$M zs3b-a*L87ue?ANC(qz5uNBAyx&qV-Ovbrx2E5q+4KCkWE@#UYfDv?gc^`=6#!%4&lQI3PG9jym{J%k)y9sa+MbF<{loRS<&a^F? zvoFY5+DxGWrdhpVpCNr7iQQYyj$v~lsbr04Q~}W`BTV!3Uoet@LH{1soa3-k^k|U_ zpPd=oge6eN$sK-Lp?Wu;87McQf68hZ1&t3CTy|}$8VdQ0{%>kj>3{t~WLCJOk$i<) zwtBZKd2B_~^35~TVn+X@_G@Qm(OB|zZ_;G5C}GUxu6*EITdKExNm?wkh#-sT{Av`S z7A=e5-B*G;KBVr9ZbkhMoNeiWdhsso2fAd7SfG5qn8ctG}F4g)X)WVAT6eityFc@~N}Te0j#Uue>2L0vjy_lt;6 z*?3a%l7>uO)vTh1_51u(?lR!6`@WX&OLp}CSjJ>#5&n6+NkVbb)%Y=G5?54 z1tT;l*H{9tnwTgDwd=u?L-0)Xei6M*c2>!vCf9KCo< z%e$Gs?)aZfA364DGr!pBj^M|CLo>6evASRY?~eRT&>1%}+W{WWyuv+*ck{$mADx~j zQ>qO3si2>CcPi9c0rg_4>1(;XSUK?Ce5R}4OpsXi_xN|?%mv`~%MNzF&yWs!wpa%W z{3}XQ{{_?ZL4Ahf*Z^&)dep^w^kYT;!TbN_>(jyeFXmAx6sbVMnyF|cwEj)7htZRSUR_u8tdayB_i1Fva^9Or!q4h3QdcC9M@-X6a#DP84}x2wKtC?E4chXu#Y#pBHZDqZ(_5sZF{?)Y`MU0dDyjl z-v*LZS}%*KT~WTbe8{qSQ-8==#e9Et6bJ0`XnVQ8rDw3RtM||__XEVJ^;?#}@UTl+ z7NnsyYWYdxVa|7xI9It!9P{nr?f&7)iavgU0r2-BQ!*~?p%~{uelxOV(t=GsXUGa5 z7suPk?3A=29~};!Zkv@u$d08b9O%9z96T-v5rho3f*W_wc;{q{E08rDmQE2SfRuZQy2EARG@z{d&ck~ZOM>Pk-szo;n3 z6Rjq#)V?g>!%SL%XE)P`&^&1pDFLJE)i=r+mNKrJ^TwlB&$Qnyu!%O1so6g1h3Y5u zBn__SK^giqqLt9(w{ZR;k~8I#SN78rGLh63;HoN=)|u29%}MUbdBN~(eeQ!9G<7>9 z@TW1n5w$MG$n~K7oA?w&o`%n$B=>G+=!=ZYYP2~L`ujL|5IwCw?({J$5nL-G2=v($ z1VTUEsf~k)!SNOsGzT-sxUed+I_-R{hSA$|7ry&u&t+oBzbi<~GkiCM$cn`&NXM3v z-PTS!qrPFqsO0kOo61~oHPt5`R`_V{U=~|hPn#?DKrCMLx*2$C2wH zT`>0-pEaCsL<6Y|+kQ?|yZY&c*jp!1&9bQ0-5gp0dv`%;=dIovv_qY+LDCglMivPe z!|txY!U?)T3krkNRYupiV*D$8+;kFu|y9+UmBbq|TMV#(WX>?VA+-p=x~rQ~HuqnYYTu>2h^j11L+P z>Z2YDVGKGD6D>Q8v$E#DD@p@*?A*!mNKQAQxbv2ANh?CY57kIC?4}4s5-v$>HdD{% zH=l58qd#H?Rw8bTO^YYfE0hbPb}U_@%g}9ND96Rft9L9Fa-GF`vp5%6l$@b=z(G{$ zkC^c7vR4y)Ana=+I|Wu@wiSXTERn0-=eZ38q#~L-D$ukxG&W0mLKIo~}<35!p zF`cbV)YqCEm*L6OZm-Rc-G|$(E-pl4?DGr>JOWXpbT($F;)dOSvdEHaMe78kHG=EZ zw8w1gWT&0}(72S_--0JY#JEX4>)GJ8d!@f{4TCui4ereZWJW3c*r4u=QxQ0~#^pm(ssd z=Ty5?zmV!fxx$R}RGxs~S)QwG+2*zHYcQ?YBTqifNj+8n5Ul`@MyQnhY`;FaNw*8@ zFmphiQ*xb+A$nX-xD!tkHma7v?-gIVo-#Jr5(fy++>b=E;VPPt{opQkMdPc9*@_jN?&`RSm5-GaLNOt1H11vX zTr}7W{jlyT%7OKlTof2E%J-yfx=m8J`{`Tmam2LVXs7iS;=bZskjcxJ9u+}w>-rLwz3%$J}ek~6& z-UYs0=kNTW_H89zIrGIzw%IBuf%}o%o$3S_;Wu|J(52vzv*oY9x6Wo?%KCCRJa+XS zX6qK;q%Qh<{2ck+eNE(PbK#&jy{Ky3l1k|nme=qa`oIB+>I!rR8kn5kPsY~vniYKd z(y}lgNa41p=+J*cuvNn&&>x(-bX{fo%IIe5Gqz7(k*?n<{3@?u+(`XgHP|fcTIdb; zd>a1es(bNu;rE1{-lQV3QYA+>Bgqw5c(0_n3*g+WQIy~6ce{+8J<+U!sX^;A$S}?O zru|Y9^>()~%jdXKT;~l5JnYCfdI7CB0|2H>uU%Hh!BX5+P5JsDgyOw5TL?vGzY;ulxzzJ`2FD0D z9avZi)h*6If#$CcoG7+Mobw!<1s3ep%3V{c$St;vy^+DUyONCWAsR#^sEOPUYYT@y zqMkh8X{RkE#0ulyb2EnFiqvx*cKFr@x$ocmBh!$-zh?-HZq{mglYGUcO*dt|#&%9T zDwV82tgx3*EA#MRdR@B>!Vf`%RPaL%hsnIeN@qV~z9%E$;%_Td^d6e-cMh?2eU7*} z(o9?7vaid3S7cg$)D(8l-u_$u`h48ZM+Mf9rMSI1urK{`4e(#cz6YtexN@NgPQf5z zhO{8r(h!CO$4M6m)=>@HS2#O?+v__Powtt?``a4_YvBYb6Iox?#<|0gxIV%cbTd5= z{A1xe$Tc}&1j_pjco2y8r0`h)wcWnE|;ZaG_C8uMj>$z4USz79gTWeR^hTx$iIX6=9_L#o4}Q$H-c8M-Z#xx zsW5_znFq&cw?e>UsZaWc?s}=wd2nm^q@s;}ezpAYt-kcjZvHNL&HGz)T|}cMh~^<5 z=pE9K*Bi>w>BLnf? zuU9Pd@y#ebTP{kodllCnVxYBM zQE@Z$)Od*QE=kJ0goT>n$+tZgnE=5Uk6J@=kH>QjAzqhP@vlS?vi&N~AKRsPu}~(ylae zKl_E@5Pe`_{cWq*SFeXQ++ZU_iA`7!H60>`2hDrlM`PcU&$&BoBT3-TJnl4~d^ERg zf{x-6c}N!Y)dv5Cq^%esHO|=0_~zB`Ds+{gKOt|z$CRlUfRzy(2!wSOdAb%B|9{~9 z`iTx{Gwx@_tzUk2gn4KCjtuW-W;mt}t8~;TR~}m%C=(WIYQe7H9mpZEz&6y>eG zg~yqtk{-U_E6U0sWFWT zoJd4&AJI>`tc8MuolZYbW16Aq6WcRvH$11!O&YQ{y<~l;D7aM7Ew}>llGEr=${)2@ zWmV4FRa1AXw$y#t9`x3txlB<`WaoafR{;3&s7bGIQ#V?`9M8lV=f!e18y* zH{sF}Cv2UvRN`G*A0p?g?eu2vYN9u74H)hR++kp^gMI-%<;`w{C$w_~`Z}E7!mKW0 z4pcQW8*N1g3j=FSXa-yyAYX~~+9vQx3gBwAa}NgtQ)*iom{_wgLw{d%(c7%%$XAKIh zg#y!Q5?|c@Bh=%EZHx>|4NiWu{b>L`Q+CN};FB=0f@|jnxQ_jEc55R80~_np4ITf5 z?XTM@x+i%Z2N_=e#0#TT zK)NKd2V9d{a3H- zT$&yT-uJIKsJ>_ws7!jNQ8y3~43a?~^yH{fpbdKO1^xF~aXyooRhgekEer;ljdS*n zpjqy9&$IZh#sB)h{rIOOYnu6={?m{D_y6|e$A1O?e>w6m%Q{wZQ2Hf9MLM~LXx8`^A%(rAgmZU6PZ{c>pT z*D1+`{b z@mhYAUDB+eq94l+DvhQOXz>YKC^B$4D5UA5^v8e5ei^wb8`p9IZO!}X zw=4enXAR$5lD=>L_?BO<_~&o$zIXiA!$1G{>#-|;j!Cvf-SYFUept%3{Mn`7Zus$Q z>3@;K&sMZ$_uG{~0Q1@oKfC-F5rI$N5C1p#^;2K|j!q_hn*FL?*^wpdw}gL5`n6lY zSq%AWO+|8?WO5e&6P7aMpNIr!{={NY{wD@U*_6R(Jf`A*tf~FF4D0gKI{xp!ue)VC z^waXA1N}I^;_rsP^yJrb1L!t51O5%^zd6}P%h2>oQ^tQD&hMw6*EP$(xp2;+xSzW3 z=^5zkU(V-K-~O2ECX1%-&n+04=3izYn&dkuKYqP=nSi4I3((}{U*@4Hmw#|K5Ip$% zFFy|f@jpTJFR7IptJ zk1Npo^k1@R>ZgBD!Z2mS)FLI{`1eq z{abPqqYl5ECsE?h z-468YnM|F~u3pUFS&8~SG)|N9sGJ(2yP6#hUl z{+E!#KNyGq#iZ~D4(ERfDG>jEA%#D1?Egzh;ScZqUq%Xl5I}!Q;g5%a!v9zbILiF- z1t^C7nf${#{(lu0Fyzn79~v6Q{2BWPI{Npd0FM3JpbZXw(c8a1_(j?O^y~Nk`?nLn zK=Pph^yqIe`On`z`pX~emp}L~=X~P(iv<6v?*|(EXMUatez`or{-$E&$B(bw{rK_I zx_({n@_&?z=Y2FSY!)@9%#w8}PsXN>sB05YZob*<`=>@t?lme*B+5hV;)9K%f8e z^OFDYe>}B2hM?HLd|UG8qnVHY7>VNp>|1R16yYqBxlpqL==6}M8B>odY zqVb;?mdgJ`M=6!!IF{xp_3I7)j(NJjH0(c=|NO(qro5lppHo6V0A2snU-9*M$%gqy z-~BRM_RE~npMQvey@N4m%U>?qqGrwJAOE4ue?;B+&;JpO+R*e<_UlB|^mEefJBblz z%bsQ3U#7o)nK3KVtXs?n&Rz_dCxeIX^R2RU@4C4ovhe9| z;77BZ;^}ZY|fWLQMOtt!Zf!>+CCz^JQg-D9=XZXHrfp6}yz#_5GlrJ%C zl1>|9jJTBQxhvIeehCGViuX$|nJxBsBoU4+6^ZIH|-?_|<7<9MW`pC-?@*2{7Dd;PfBwv8pReLHf)^ZkRx=qOy795wA*i6GWp9a$)&uF)aa z1hUDCK!~d|^xL?&;*;5?3a73;-2Um30$d%FbE#Kd>H`#q1x*-y~D;`eXNn_A zZmfL|)sG41I5bc4u_xl=V+OOA8+n>Sc1=npmG!VX(J*xO;9BHJIU8poI2C)B`w;s5 zO-!v`^`y|dkB{>x1FglPJ@fNTY;7hp#OG0m(7PCA;tj5a1zdZ(&!^&%*35f@jC!KW8 z%41ibEqkfBb|$nQZaBrp7lPCab;0;~o^0T`t=WLCg6fa9^4UCqW z6VchOxIfC*zzYQs{mbAF)qbydy5*p<@>RZe&9EIfPi8^nR1?Y=W`4eTh(cEcQ z;z!svW+X0M2`wPY(;74$6USOEc6E}^*4idi9wJRB@5$;Z@!CCeaRTFPt-jW|Bbh{@ zMTJ7z1(;TSD6bh@KC^eA0754vkDw@2p#{Swhi%Y4j$lTFq1dsQGZM(+LB1jB1cThmU568q2O0##n^4+_$|!F- zet!@^u}q48Cx%#>`GnI1P}V~SdPt}O_qfseHQ(8o6>*>gIuFC}oR3jEtQ{tD2Llv# zjEoMa@VlOO(xny$3t1XQrLl0$jB(!sUI)5(5c6B|lM8%az({}0+YJ=2aSiN18E88` z)Ksb$JDUwA=*v(9n88UT%k}L zwJ10)fHr?(@*E%V?jl=H7O!G|>0&{|7eVw3!>CUYG@hs*jXe}Mmrr~!z#AIOK%@)< zbmw~151tb^vwuE;=;NuAYAh;buaQg^f*w2x1QB>mZvo$U9}p^i+z>5HPa?5O7YJqb z)z1ZfxUNF!NCU^C4)rEbo*!Z$%qF_|`VK8H0fnFy!?2#LK|(;@d;Ec6dV`Tdu}&4! zhHwL4yc;*uz^oNq2^WC`6(&lKlkiu5z_}RQCDm7yer+Jr#Z*P#27Ms)yb)R69prm( zt^%X)py>Q@~y9eowb8cRVl%3(+Gu{&~n*$&cuGNS{5>=)Q$>qdp@x zntM0f{H-FPPfkd)>oPmnZ5Y+R8DA9S7#{h zT&YH?3w%2_0J%hOenBZRJ&$)TnC)irf6i7v+PsB$9QxMtdewvMDyP!CY=1%4Fo75#8Q zE7ie9wxU-GOf`pL`E)}`x#14@z*D(MuaWH&%nygj_z2+`qFWBcAAvVa>Bc~@=G8Yk%cYvmfJ|r?OS?FV7mPCOyZDW()yafcX+2f- z1HXxCrZZgO74{&I;AZwjGR8Ul*%|1j6dm1LKslLI@810!9T2eb;R>Kv^|~A`T_mgS zOVt+4Lp7fusGgY-hauat*_A|96g%sJhHf1S_r8@%`(jy5tATZ0^m3Bw>f!@k68Zxa z2X*;&F{@Hi6r6u;T}xLyq7q!_7M7$e2tE*mfo&I5xe`o+fUw=+UnA}q5U5O`mCrkq z`;hdO$}%!x(J&-1Mzw6!gS^kQTFD^F1x%(ld5yYO@80%6m3eK3;CK;iseatm&K^w= z;YbiW>m!BeM4ce-`IKM4h}H0r9)fD$_xH1h7Cz-0U}v=lLY2&BoyWo^k%`rZ)O``9 z8t~mGp?vhbG*2%85Y0C)R()j-kyjJ?wfc~DhANf>Iv&iR`6de=y^So2O#3Rbo%Tth z+-#8Mhz5(+!kNv79zOwfnkE*F1{WbVdZ36wwpuEI5#Y>lTr^^g-7XBn*r!>?*2q7r z@!QVz#e%RNaVg8P2X=)sQc7hg#4sg})H1a$VeHx#W7J(jHNCYxW5Fi(TgFLI5bR9N zN!qXcC$8C^RrM2`Jre+XcV<&c7DSDEfpyNKl6gM2tom#KtTGhF@O>N**-Ea51kJ4{ zs!7&9b2o7734GAAxB>X~nfX+V0#hW6@1&U3<_VZBl{Mk&-oqaMZ z$w2uAWn=>7I+4Zgup|m&RVawIVu!!P(}l8U*QvfmQbKK@`5c-WUl*Z9m2U z=dFp`TuQ&r(_m;kNb{gsDEzgrq9|h86fxWF^9G`M zmIMhmN^{Z&?&tZD^=986jkBE3>-7z-k=cd~dBFf3vCPV* z1)P1jb<+X39oJCvHqVF!ptoToEObp}4XEey0@hMw^}2Qy$+jgLFKeZne$yjVpw(xn z5q*;9Gso?e;pm(Sh|xmn0C9S%pb1xwup4e;N_|yC0;1x(pBjudyMoX)pp3v3pk(^> zSLw`H+t-H6TBE+4;rQ_(lhV?J%70ulr7I0a zHGH*xP8fH~f5;JoZ-$2HfiWT1Vq*OZ~wE(d9fzRnZ(!K=+iR9MI*>$E%yjK+ z^NT6n5^lTG&0+vYr#OQLar8))X#9Gyu|nQN{MtWhY$K>P#U8fA02>y548t4JC^Nw4 zD;mZAeV?^B!TEi=Xu$ad{OgyMTt(;;X$+gqDaa^#;WGPP1rUhM6wo=ArQI)Vpuc(y zLBZ#X#h3^LfDaaIR`wfbCy2RC{-1DobCPHl10YLp9}SuKkKTLyv~%MT0RDg@o|iN%j9a;<%lV7yup@?Iu`$HgU91yp9(7F!`m`$p0-jrIwH}=e)$lYryH%8#U=>`0fY=>=;$W(83*dx9BHRo&J zcjgvx?`Qi|V{7K!pG_4}BK#S3r{a*(r*!cf3RT4Mqd0uIGqS~T8#1Q@XS zk#K&NXTCgax0F{Xvn*t=S&+!jhd~zl+Tb7o_DTq-=1P~G?!7r|JEuy%4rS?p zd7eK;OOcA3U(n)}zNlfucx1|!0Kwc>BezrF+Y`ygC2DAk%_CY*Z8W(Ps~?jy)%JlO zJm3wo+54^A*)tvB=iPQ0qxaPuK6LE3edkpoebU6X7^7{+?)4RZ_R1sx7obvWbPh*= zw4ZJJZC=QIyunZpiLfIeY7n*buzT8BUX}{n>idg|HUJm){fimYB>u*Xgeu+ZH(7wO zYiIru#E)gW!X6Fa4Wq%>EiIi|6Cg%!;Axbv*EJmli7F(%vk)Gpw%ESS-)-P7)I%Fu zo>@zhVAc+2K1a%|Lq1vYK$Gu%hQ{gUqd4PX5PN*_H{1c8XFwz(k}r-Rwmi?F9Dp#` zKLWrpLj{EY#1;!uclo#TjW3clPv!pP&K7=k@1uLxzvwI_4*YJ&PA?X?8*p|8O4g6K0tmwMx?YO5XQ(y_Ba0Nk^XwU zg68p?QcM9yx!=$wK#$z<|?UjTq6`R^rIFJ{f zwMH_i3rMkz?;7oOJRqpf8S@Sb2r)G6G7#C-tV zjZ$neKH$Pj#Y2o7cA`rnJUQWPL5~W-Ms(sCsJ-ym9R#~`_?vSp*n0;(Rx&llBxhn4 zFo^;V?CsQKw1~#-W{fpt0NBIr?BesJzFn=xLtK(z@fvULj8riCaz@&Ak&;(oE zOur2I&_LYu$vR6v4=D#!rE&-ikWUwXRdM&cfKAl6QTTFqOeKsQhDY-BqbHx_Ju9Xm zhmg|fb_m&2&36k=jGG~^zQq@q_d0=CcZ{6RuQ zEM0f`dR{wK)9EFxv^$MKbFkT;@#Fr~MT9Mm(WF+T38+?XVV+4h z?OX&vY=w6On5s=+bf>obZpf@(F;sSC2~q-ugU)f`;2t&|GWyJu(n3hH)fBADuopZq z5F4hcI*BuzhXOwstN?-kMxOzQEfBtnA_6he&~fM4GEcy<5b=3r@3xa;fWt+h)Ejl} z!ael64(AKBWRKja8s1kf?RhZ6(R(b~7JZwFE=ec}rs(s>&cqH1&1hMXNar3X9`Ocr z%K%w@;8R=~k2vDYh%InMR@@}O@67tavKx_}5n2;G%cQnIt5UwV_Ux-j)YXu3@0jcZ zw=c6P>3U!848CnlbWnLrX#7?`h}M8=?2(DrnpfHLL4lwfg%UwmDju9;J3>d@j+_`T z*z7Y|ZuAT^PM5TkPn>}P98GmHc2MnY5e$?W$pSbbDFObJwnoQsmpP&RApx9vkV)_Q z$({qQvBwKS6+IK|adL(2y$KVq3z)0~Tvw~f_gx&LHMENb;^jZ8f^2 z{H~=M%3^?A&NY-yz(~?kn|1nlUNemjDwbM;_(-!O&vuBPd|bMdWk}>4Wl1JbD;prG z+!2|`T0P=ux3}X5B_AITvcR)9yQu!~fHH0#%K-2NMQPM0%DGW+qytOVv|A|WcpbcI z<_9gpcR1HD@Yg)c6nBc8Ee%O!qW9_rX5r`c6Z5~ zwUIocZcMU)9-P@Ds}6fBo^Q-}bZvTNn=~r~7QJUNjN43N?_1JJXXK492!3rw5=OKR z^*+&r+mX>3tjzJYz4^q4Z}glA)A>57LvHZ{6@t#$T(|=I6RbdiXVB*u&IgaZlRA+; zJmpNGY-e5mNHq<2Ms=Z0=eb18b5cEjji0S;u7~cQ3@uN%$ zZB1NV_1>5?Tn@Byj+)4`mR4}9u*t^QjFfbP;g{d}#qqRs6>|+?*@K%|BZam)c-@;= zBX0RR&{_}Ihra<9Hc-R%G%(RV-=rE)Q^OFCTGHL!Wy}%kTzJ<;w8c~#x$SU}YJ{ec zPxOKyY&6Cg->2IO$H-L^uST7g>qW3Dui^Zmj_F`Mn%t;wOODODDTF5}zT1UVPRvi{ z4^v*=+ors1DV;@C*f?t03?YGn#f55H*;T50gvJW`!s7GZU}t;CDr$?)lafOJ)S%ERhb5)>*^^hJ%_;~;;C)ZB^ zd^-r|lS@Hu02tXKz6rm$Og@peW%#3@_3t7$y92;-$a3Pir& zi0!MAr7a5;0BIUKM}%tjdHe){d}6lq__)%tX0G6_rnIve8B&1nnv1vj&nepho;)WZ zBNL&I-mUV?CzM_2d_Cf3_)cR!_8H*IcbnvMDzZbQ1hom__YoT2W`qy0zmndnw7q@@ zWAt!JnO@)Xky~F|>Jzg9e9UR3d2r+z&9?1A@6&j<=SLt21*+q8fd&e-U8TTlimep) ztnJGs>ro`bu4VE?g}$u~1Ld-)l6u;PH?4|z$VFNIR&L7bwai{>#N?KSJT&-r3Q`SBLI!ccZG7HFjefNaSupABHMI zS98)Q=|#RENM0ypVYZE*4bOS9XFV&2>X~o6slm%vm|)$hu-GG>*9m%3*(cUtXIMPh zh-8)BeKaO2Q2OplJWRVUQhI>W1TTA{LT491K0^0EWS+C|9a1aVf^wrXXjv8lL&gJ) zDV`Ra`?XZM9|9Y7#A(HXepMDOos5Sx_+goafZFGsoQIYB_^@?Xt<-~^;k3pjU{g9v zx~HU@k#BBvVz`)mSx)03bm)d&FX}#5(QvK1n0}QpkQBPHFd)VSR-DXdAXjg8@y8Mp zF5tjP+3rcdQ8BN6tW#odn)JTrkNXIUx$b-d1(OO+s$Mc zbRm(I3-*25OC*D4Bky5PEu4*E`Z+wzd6HtagJi?xXUy~z1=FTkAHpPnk^M43r?qUS z<7F&tA<(O`Qm;qxvQshk$w%}V2l)(Ua`-ZqspVcUndbrf=$(5J*R*v^e&TO};t!X6 z5YR2Mp>k2o=l6N_k}xpvg%s*5%3*Q?l{LL44fHY2v~Dk#VMo{@Xkh51T`r%HWVt+h z9q(Z1V8h6WOe(2n^^zg7>OdgZYQWOYrPP^JZ8>S%E>AccrL#vd)BLl)7OA5;#E2&G z?ZgGqh^^7muh^Q-kd$`l4bKbSDvfhY@ikI6qXmn2(#}Ftx+ug+sH|Rm^G~#dIUC)3jd&G?0>GuX9UAtI(rgE{k8&O$SwI+b78+Sa}0zM~;$iNRAI+FwTv*?6eoyanz6mblq zc*u8M`XN;FPV=sTXS!sdCv4;P;PnCZ)Z(D_Y9;QJB`j#jbsaTV+mzJakJpE)ans1B z-m&!^YHAnyP$qFIwM7^G`QsCN4S8(?Amcnq$-Q~%Seh15Y&$r`&%uBG{N6g!& za+2>@G7EGD;*C(~=rv)IhlLx`(aibwoV<_W>uS#Hp_tL5rJ*j*?Jj>u&%l!s%ZBwE z)iky@Vm-FgSNldK2!d4xmtN-4#I?z!D2}r@4h0}0it#Lqhzbo@YfGR|BCi3L0zt|4 z&T20KgOWz=LdpH?aSeaj%yO&ARn)5|Z#&QXIFD<}0JvOa8%}72EzXAIi`ZU>X~3*- zaUi6Qw(o|2F;qf_XDBNTGH1g_+SQBlpPr@%04@dXQrV3xx1TykA*sz}VkNh;v2TDg z9%d|D>U>FFJ*>$Uvx5yp*|+6pv*wB(CA3c~dAxnn+}3um><{I#%3>p|GK|Ak`K!JG zP6D|qk@|03L}*IzQa@!;=zb>n<1?LSLdqz#YSxq0j^+6rFE!N%Q7XbpS?3(KB@#=j zTP4NlZDC<)4=x2o*4*K!Pl)*tCSA|2)OeSsR(w9IdYt*q9!Y%BUk{mFZPPJ$7uGiT z*?%E*ku^hfn-$g1t&JH*dNtLzGf6JWr9QrL=HdgzX(TpQx7&&}6gAS%#J}%vxpDB$Ky@30+c34U;eq=0(SRNB<@eJX5aJfXyFjvN#FQRgLEZY#`l@TNM+N!5B3eQc&*K1n$=Mz5_ z+q~@wHnn_y9PvQvm*N*gYN)F$xq1Y32m`~p1)X%7t@tmA7){j9s%Hqb6nVpxX@ae{ z6Yr8C|1wNnp=@4fbB{K(GH>3G_YK<)2I;AE&#*9@o%`eCt#LS-+4>-!-a0C0*46jr zSmS;nn;t8ZhScOEhh^h&ETc-?d%fdGpZVlw_nmimSk0&ixEAGybJDZnS6d=sGyRk- z1l9+lZ8S%8X?A$OgZ=Q(DRkKJY_aQ{?f?XkYD7AWt0Ze!hsVp#-xJ&$W7CX=8#OhS z@1t3q5|P6@g996G5FBA5h;QSXBoV@Ejs+(6Nh*C2SK^Ezb#o|{HJ#XXJ)%ak%k`7j zXzT|k+JvttU!r71FN&Gw(c0ap@~Q1phc?r35nEzOsZh~Q`T$DOGw z>G8372Yd#}@PEtWy@7ZI5vfLSKJm~`d5e3cdy8CLGtev)?upU-~9{=t0m&V$vlm7 zLgD8ndnev);iY*j^~^E(j zjXfY#E3H2LW}U%R3POK;mJ5>!=Kx+cAW#{S07ob}M2$Cq1HRu~fcgXLey@?#$}#?M zq1erm^fl&pm)GD$)wkKS`evi|_1Q0?lGGP^aoyz8# z2TvD8^? zYLdmY0u7g9M=_UvAEEO=cGcnDQSm#M2*}Q}@t6+v3}biRx`;E(v<5wY8?!toU2P+d z?$E^)SE{IbE877nHLf=AV#JZe)x--5M0542gVoM4dbP+DRB4bJatZClOzX6^NsNY-w|p#@>-*CN$v+-^8+4o78;s zo(R-$jZwCRN2KB>8?c1x<-y`22*;6h2pwNuYUJkLYx2IO&<*zwD#$S+SCYq7Vo|U2 z>z-n-NFX*i5WeSl+DmQ*xRw?M{|zbUO7*#M0L+lQF}g1XotUwG*pB7FW_W_d>GWJi zG+zC95h@sBZrbV@f!XmaNMgrY5#J~|Ugd4x(|yev+} z_xW`7eU^wDpZ&&{K`RIBjNq#>Qpk9a32D@xG@fYZt3Xd?pH6iaF770AdFT*hbUI%- zOfvSc6K~%{G>z3e3_!aX$P; z=WfM{l40oWuJen9V4}ZPspyNZ>9(RZi%VOkyLmI~G$e;H)`s$#RA`izjH35ZiSO`r ztk2J_HVmI1_ox_oYW%ouW1mMxJ-0_ayQ`Dqx0cJ3^MTPWF;^9Y+z1a<{McX&itV@@a)<-vN z=FM8TZBrDBoXj*~S`#L*xMK^zOPfB%+K_YH%IgzDlPw5M}57^N!0!u}d$CU4Ti z8HBu^0kwQ>x_9vRz!Oh(BvzU57=h5G+HwJAtP%5JT@;-^BblWN4~L!AuIJ9yB@hqP zaY>o7OQ0_B_|O+QjT0e#03q`Y$X2-cH-po{9WaKq$K#u#bxRXx`eG zRdno{m|ePs>{GBjz!3XzhL$VsTB^w3rod0eXM}1mj8?e>NkyE8Cm*-2HCg@AXy!(s z&c*SXbDD&kdqZeMn1H)LHJabkNc||Gr@rA;@?qIl<~TvZc6>4EhhF7}RIUpCSp79u z!UGrIJRpc=MH{uUdH^d9^z>-B{i_$NUirp1++q zG~Ta!btlgI&9O=^w@FgXI|Aw>q1ZTdZh8J%Nv2ag7;O`+#@M02qhPYC`IqN)G>_bu zaqhR%sYbG=p&~?OtE&~U_OPAW`pZTPzDFA4WyGb{DL9NUZlGBsRqJnp5Ofx0hVNV^ zSqHF~%pp1KP%$gM$S%!l+F4xEi{Nb)LQH4s8!qK??r=sHpA$x!Q1HhPcdPApC)vVH z@;BUUFm<1a3?eDc(R#X{ajmzwLT|eQC+{$o?d$}zIa9v3#p}n%hmmE~jhrwyVaF8yOl~n2yx9qnRdJie6TJbvM?K(qe!vFO&}aJkC=6_6s%TWzZZIK0 zI&dOZ+YQy6eXU2EzX;;Iy>+eKPC~w)NNd8fvx+d2gvRr+e*Fw8qj3Y_@$yR!W-xnd zZoRc%a~$MX0YB>tL3Tb+J=Ddp_}<<3gzvTcSoY&9_~vEP0HBjFj^luzX>fkO|DLb# z95?QTzq$#SNc(vQYGB|50|LS(ou9sx0UV;G>evY^UXIsy{RS4ZxwIm`<|U@;%L8aYd&HpAp>v{)bt9jCHpQXGhI~~S&A`&;Lg`S^SrX0VW@YGd)F8hW%|ZGA~&UT zv<{=dW7YP~dv*(W2hBN3i`8)!nv+a5|BY1-n8Se)<*%Cv!PAbbtl^;cgAy!b7Px1H zr}nqLkiObr{q#-UckWTIM?+;2h_9e>HS;~ox>VemhayQ53SALj0?o{lm}9rC}8 z5g7Tblz%zzSo}~~zvxEw7u^sv!7yOzHBrpwHle2pomD(_ksF){qk&c*Z~3s%7;up^ zwM7$s)S=-@!2Ji2h7rTJr>U3o^gCv}G z$HwbXZ%PTuswI8$C*-@r3P*@)0JdK}iuZz6s582G-F$woiTsWO|Gc}I*>q)U06_R% zM-DJTSq_c?CyIeJ>7`}i$c;7I{M~;3 zdWk?KXRg#>F_zS0+9o)Jw>_1Ns8&vPKxFcL7dZuY5b0OQm)3)Th77I|DxX zGMlq_C!&d?O9_1FU@Osy2J`DdrP*e!B42Ge2K-yz7G|3D0{zVip3okFVfeJaYj|ed z=&nv4?#QS5O?S#yf`#)QAd6zLN^k^BJ5x=^iybph!+t#~Q5cB%*b1AD{EJK8;q0kJLSM;*B;=uJU z2=+l@4T3r^*4hQZkHeYV;o&z-I!!c=?S^U!$D%mR%jyOyD+cs+`>Q@Y9%`ujubP2! zL%MdRlgnNPVM=rc&mF>bi6SV^S3uqMBTzvQ?EI-1*J)&F=u!{W*rxsk21r*QK)3T? z>kt}nBy9MuobA53!eYV<4+;H?f1WI$3)^-9A9X@`xEaQ_s*q6-Z!lz-Vh%M%o$MDc zpj@W8A_Ie=|GDP&M1fu&b~m)4U;z^--wbH9gYp)$DF-0!1pCcVmY0+^oxka0WOO_6 zm7@X+WL<{beRudibw`Uh@ns6z?>elCmZ;GB%Nl7X62heKe2Mgud3w|MmY@ONOR!PqKtBEZxYxPGe#)47# zvz}xPCEji*9Q7xyJ8QN92NOnQjve(C&}=BgjUz*XNEvzdYQ}Exw7O1rb!G6~< zK90bjts^7Z6~V)&mnycOZE3E!`jp*BkJfi@h%9@n9(RmxPbBJG^TW#$d(2$o;ra8u z_&jS#rDd-8^PWJ@R~5P@HeJ_dO|w@mMI>Jht_KNuVuYDqD~yU|bL$2?ExmbuYdY6P z^>BCIiSK}=2Z3~`^ceJm<#@ch2&|Fwsk*2h2o*dA3>y4Ni^v?p-hQ9M^1FNc>++6UNK1r_FEykWHqq0GoKW^PsW4ll{!=qUkPK`X8)eUM@a?}y{`FmBkJYM+Jh)(i|*CELH? z)`<~Z(_GuyB2;i727ToH_9FdgBqv(bwSJ_u!7}5=rkjEHC?s36uCyKvCC@^dE1hh? zLPJ?rV=P#b8$+kILcoqPXSMPYf*_crbi)`WU~gmZKE^DA2y% z(QfPV0Az=NKSj3?&LjY~pK@zcr!qMHkfUd1vepN24c(RosG5kX>Nq01^_R5x+?BW% ze;Ex7O&_3UJf*^hs&i@2*!k7^0x1r`=v;a0X>EiU)S2r^-lmT>lb1Z&-jRkTbr)oz z04U0AtDKy#xY`nnw+?$?}eIaoWJuy;0mt z-%TX*a)U5GsmBPp*eH@>tM#ZFc#pMP4E#XNrk^)#AEmTX^R?4ZazuFT^0-QDehdlt z70(gFm@h>l@FzBp*3*S`3ET$ttP|iGIh3ed(6Dj^4xD7MmbYeJ$+5uR+dwCMpr%mc z`|G$F4yGN+N@&(J9o$7`8DVIvC-=HYwJ*lUvD8{nDlz;x3J(fE(K3Xg7fG#~lXrYW zoUS`GNDSpFLt$yFsPiX);0+M$ZU~PTeIDuqX5sXUNoRm^>w|{VxRMH@$Zu%rn;VHJ z9a>YAaAWWXO$1)(#1C&0@?ukfx5&vn)2z(yjEjI(gAC?C0=5<$x%z%>19IHXd6K{R zghzy~z!Bf31*1I$+QbgYa@P%KDk(t&MG^wBa2cbqU&Dn?R&%E^>2`GZ^>9(WtB2D$ zfCkkB_C|8d9WoNvyA4x#mW3>T(Q)%bei#^$k5C1%shzFwJ{XAlW-qSC7b`(xLaPOS zvc{MZWD!Je2%mMTJBX2*QL>F15!07Xm*$HczHhkUlQ7pPY&+x8-0E~rY}q#U`XlYC zpdN&Z2wX>Za99gBt{)ge2qS4lW7g|bH=pT3yxsE_U=d|0%rP*c zC|1azQ@at5yPCZF9Xz)Tr=SZJ28qV^OPvbFg=f*IR5E;9h%a8dBnIvd7J^>S#v-FV zU=n@XaLfZ?kXDRylHhwb;h!s0@`+aP;4b@9`#zv_xmIQDGi4k+qC1))l=orqgC%~P z)XUSbq?Y(O+U`%(@#0T9s~Q>7F~W{>^(2aM`K5Sk<(=kAZi! z6aSczPmp1lI{P%IlbT)cvtzQbnMLG@o+;eEx? z2mx5)B_@DJ5YXoOktkh>zd?|xRCG2uQf@d_DC2ScOhqK82uH1Bc9moQvHSHk;tN*O zDJ1F@r8g2nTik*?lqK3N&x@=f?K-h#5nK|1^F2~0jwV8>n4Cw#y=600HmvxC69Xq* zDw$QI;xRQ(b5Le^CID0d^i9KdQFbTOGE`K_mjM20k(3E4O0+T0Y__g5YTzPik{wJ6&o+0|yLdE>4Wpy3B^YCWTH1Sbt?%w1*E}h~ z+&apa3%$yBU3?#YX+*Avat~r6$scYr0S+{-B<|4*rbJIofR(a5S!;586x!m&LhiSl z4(QjOWN@)Z7^z1Z@|d2t6%+aJ(#Pn%KHl1fUD}cI-rL1tU4`vS6I-OjSe7XA)YzVAX&KvloCc5S~xS+crey<|~bEI%K$W9!S&l7)M z&Wwd8_l?8ZM`%cvTKiyfDp|Qw&MRb@z0iF^vz7oJ%%waUxh0gc=@ks~@3BEzJFclo zZGTyR$7H^d5&+w_-v$4Pz+|~5Z-BhbeoK0g*!HWmhp%Dv(GYuq2s-e37tT$ZwPE|1 zFO8Qg7iuse^LmX9Ug<4<;Up;|B4pXj)S(-JrA=k4b3ML=j{ zp%Gg^Z|wu|idV(1qQgGw3Y|;@dOLjgT1k6Vsl&w?YxJz6^B(%$NgXOU6A)FjlRFwI*%=ykMF zY6Pa{JOODH_V=iqOwwLK7v~JLnWcz4qke1xepd#-39kvYa&$Kc>%884iYAJGzck&i zSC39M9nHDITFJZ7#Em~CP_mNfZ9VsBJ@4-agb%Uvn79^`>iKqm%Riri4ZwI`drZ$* zIl*TLHN4v{7Otewle^z?5n*NP(--#P!7z3#@w=8Er8445ZB+~iV^CVA+`D*L0+l;s zQxA{#lSjCh-BWEZKW-Cxe)k%&Mqh56`MYdKcD9V}f>kEQnkGK{P`WO$_&b!ys|=VOQ>|kfG7ysZfATmB=t-xmLyP7@;N35;AfB__($X*g#N( zSGGnTb7v)1QeD2uG@J}YwhjuE;?I`ksY#Q3oH@fwob5FkTZZev3z9Rq!3r%KX zinAI^Y}yW6xgGp9h&`2E{%E?wD99DykPO7D?|S46n;h!9uKQ^khM}q~s3-@dL-k@NQQ8n@y)KB@h3Al$9yyte!tS?h6;mXAs>F#rE|5Hhb?F}FgB-96vhtw+%o3Djq6FkoK4|En(UXS zdr2Z0c1*SIh|l50wOsK7a~2t3v=yG7Y|Vtjv-^x#kiI|4MYGBfTu2nk2aXZ7_t8J&%>PEzA_~7x%4c@zV zJ;TY)EL?pEoUeRuVVgiTA6EtAk?=OOo~vkG`3A_rO}MjbX*QC8E*Kf%zR@JM<~W^_ z4e_kYVS7SPW}Mm>iFK3*cq@5SBfbL9=`CR`&4zRmkhtlLsk%N{htHD?7B6;3-eF)k zwljF;K7kT$I6?tOjmxksk(m#$*LSMSUjrQ)(Fe7uCZmniorDcTETj$9+m6!Jj1gu# zVgyjHSCYxuaxvY^PuGH}phRZWkYJxY3YJ^$u)va!y_XmB)NDb7YwPVihVJDY&&8WE zcgj~o&2sx0eP)XWMuoB;7=3daPj3h7Zd(~o^u2N1Xn4~pP-ACLdTA!;8~}K_#3+Vq z9wB5t51q5U+XqcaQpDZzRkyJ=j5R(Y5oQ|*@8>DOv{!r`j&6Ztcf-RZdU!xOpjDaZ zAC4Q-N6==r^X`Jg*0cP(HBe2qa|I0K^$4(voFKF_d&&dMezx@TR)u+gLe!VD6lNIn_O=J{~m;<;pS z=KyZ2UF2fgBQMS($MroTx(}TVq0NM6DjCtn_Cyh?c+0C~T4&y{CN~LqiA$T8K;`ia zpEKKgBG>vbT4{H`tw|#bkkBKaHczoasf!gF5uJ`kY|_3;`C-5`(IZD=hxJK@#CG^% zb$s|HCO$Ws!<<8_fzPo3X=bu?wde53TUN*8T?~kbnQS2$0*rwZ{xeebKya=8X9A)m zdwrYpr_#a#xenFUT(6MPNi!C3b>{AVJ&f5!AA=3RCID4-c4xcab0mrK-<2aN*EF^a zpP|W9wXaG2WH|SXDW@m;8S+({$X1NW)NbF)*`0Q(jFt)sANZiWRa`oif~uRrbKg6a z%P;C;_j7q!h#Nbv2VcU(Gu>xDgk`&~d*(s+ zgHuD^7W@*|4u8SFr6gd$T~uHUYNE_}ktwoo#>Uc97qGzR#3Ce9R}h zQ5+#cMtTIR-G-Z!DR2|5cw^dU;ytRs`xh=XP7icX^_i zJ=BOaHjT|*A9#a4;@cTOd?x`*1C)2PKjLwJ2Su%OAEIxPfu5@9=W%9B-N;M35ZLWw z{^m#9Q{@yApf%y)TZ$}M4c(>JFL{q9L0-#wPYnG#-(&f0UX|S^s+9v`t7OtEHuj+E zWnen~DQMwz@Oa3f@k&?=S(v#aHvl_Mv&#I}V-YQkFCO-DXt!DCt-%;h!cQK6rHv`XjoE9a>JVpbX#+nwQn^ zRg5h$Z_W|zTJ-8$gcbF%EF_;`_FSpyLO$H1Ya@Ts>K%&1-WK+ zy6$Q`Gl;yCZ&|!A2yr<#Ceu94u)MI09ai7uJ~w=g`#I+>a^%%b<2@gpY{4s5E20^n zFT7`o5>ucE?~JT*(IfR0z*5vpCz7k7NK0Wkyw37nRo?vFGgJM=a*=G5-Mii+dn#AgbTew(;Y=3YDeU^eRRsTsCIrW>4HLrBgu*DJm8mEq*WYw zbult7dBR=OjQSAxC%xHbqAnUpW!2Qjw^JB|ef4!Fj}Ybfx=JNIvIdy6 zrg_IBbbTeC14B8w9;`2U%+49U8uxS>z!_t+rOEe=P1nd7B{f0c!y=s=HAFd&`)46B zMsmJNYh|B405YYxrjYAm;ND~#+06E)fDr)Rl~zdtYD<({DATw2!Tt zigxLyYps$AA{Z%z$;4@?r0#eJkifpg3mI2QjzC~6BfAS%#C7MwQSS1AbCB4fVHc!E z;`7n<-9v010KwG@&YMH>l~|;_=l9lKr}Gvuc{dx%ab!7Hp?u_#0uj8`Ti&X0&x~(k z1#tw1BMWj@!@rYDiFw^X5SnnREW_Og14H@i9r?lGgP=la?Fwus>Fg1IBqB`mu7uH- zBvqpuiX{J-5MtHjVJZp8mogY-&Ko%e4^AS+jjB;**e9c~yFn}%vPoJ+bdlHOX-XJo zWfLA*riK7oSFVR@{nHza^@#M0w@yN-cj=hiC3E2w1p~+91AzBDaMox5gK;%?A^{+% zy_apCtJ*YDtEMc~9?U>Jvny}#1II6%Uhr@cY8#`&l}rIUgfC*>;V-T&m9# z+P#PGo_VR>S$C_Vb=yLv%iTU2W6bWmBM|!gv3a8-S9novfmu3Y8~gS`pw~RdH`3 zH|7(GQZ)c@eb3SewSn8oOk@J_01_L5)6wO!2UG)^b_^(&&nZPOM1leg!pF#)_HbQb z4X>()Rc2oYldh-|YLq41dId1^4y%2h;Sw$pg;RPo{1rv7`#omEZK8wEjrb)GGHBL0 z|GRmRFpGU|YDqrlt>A&Bz$y~t&l~~Z0_z%$I|i9ZBW9IanuqDfOg?2T$ruOsuGPF- zVpl*fXo)KXHmt3wIcHI?Hs3^ZkSv7i3WxAFbBA5dS!ElU%oRk}WLa|Zo;Yed2^T&! zoIaU#^4yG1dc#k0Ig`d_7}q$NPQ6AR;(Q1aFC3Y}9~rI6V&b``FoP#77JzfZKmo5L2unB!s)4bMA$& z5S}TXA|P5e^=AbLhDKKLW@iRoB`$pKsS$Eg=e=L7PJi~9Pnx)lddQm~J9@26N^^m? zZ|pkoaZ9W!4a41hskSir(~Li@P~VrwwZ4N^DNl9T;>y>oeXa}((WGGZ0j5kU1-iX? zwc|`FCY6PF@SO7~-JByyb?Zndu!Le$uvy@RD?)0Hn&|KP07oN^d({)VR2n9MmWlr% zN&ujDP)qw=U*ejZ8a__Iz3ngezApu&+*#$ZJKKWt#pFu69#QW#TTWJu_w}mBIabGQ z7$7)|guA(1SxkkJi9}u~CsXUAU3KbySwW1CkIBMo6x(BqY>M*k;m-A*aj8&j?Wz*g zg|Op^HftdJUFVHug|~#SdIPp}^lCqw4H)_gqsI%m4CX41G#d3PFaZl*`w;Z*MJ5di z6P?8gMbLj_qZ3J1sNrIBgc42h9Kl)mo6i}l?fWGbM0Tk56H$sIz-fxIQUFRu$fAKR zbs@RQBqhv7#(MlbKPuK9ZP*R*>moIXHTV!p(m;H^=tLoY)Y@>8Wmgu?b#ndgLHaWnxrZ zzjF_+8eji#zpU4<`(=g4@z=SDf7!a1JB&dmbKl zZVf{{+YG}ym|T{5Nw6VFM_n^?8hvwr-&hc1yz$%k+Bvb)VkRZ~3F|PsyF)t^GAu)a^Vr}68SrFduXOZ4J=8+K@+&bBO!ET9v zpqIED8bo|XuX$|H2ii;mwh?9%QB=*l(cq(J&gkYA&V$U~Y+qr>{2judUbn|XIM)fz z7wBlIkTE6MYo37SwggOVPPI^_->uhBipPeFx?-{R=LUF@8>W@w=XSZc{gS|Na7uj& z0UUFVe8$nC$I{Q)d8U)Hj|pXW*lEoePQwA(qf%Ezk$ygI zOv{RM&daeb`SB4cOxQ(tm@#QeI!D!_tlUVlh_#}3YBXLp+Pm`|Cvt)EH*AV069R$zYq3(CX2z7x|6&RZNq7; zd2gbu7QRDinMF?+biuQjVrs4VEF8zxOXp*D5S*rNHF>4fY;{O#D_q&;F*GD9zzgB~ zJ>Bq+{BbL1GdmN=iGlPhGiWqj0wk~XR6gg8KNBc&Lvnh{)M+~T>nOfyV_9oS-W4sc zcAg&R<3p&S*6jqo&>4H7>o*sEGOmh4CCk~ki^cLDk%4)>{h@2J>APCXAmQ)QShFKp z3N(mOP1W*u<1=)np69+sBEx zjht}^-YciV*Te$6Esu_-}C zo{uRgt>J(V3ZhsQNG+A|iMnatcxifK*VWeUGd51wC2~fj^iFy5O_<<#%@VCoqCQnU z{i`^eGyx#nMjJJQ0B8Y(=q={9dB}cC>B<`8MXC~+_r^aL%(Nc{fY}>L+Tk_y1Y*_` zzIZ;YdH~NR_)RR(kl7mXm%IqepOHd8&(8s`RTybK&S5@=-9^R_o;5wvI%lvaKV_DK zJ4eZ;8$svVdH~2!&vVDUt>|17v)jq`I?!zp&aAp!-mzIWNp~za+h<{J01xx#y0!IW zUoUZv)6#9jsz6DE7A6-}{NU&&gm$2=SCLSILjkVn)=G?LW^?a#pLEmm+nQN;6js*9 zra0RG&jC@?Y*3B9+`drNlWqF(>9=7ub+YRVM8ltM9pFX-3TIm_t+>-7mJ&+g|>1AlV%VKV6R#`t$4);(2T8bIGKE}68+*siAo<+Lh}XP}a-+qJOb&OJU? z9O%1Z%k+zJWwgZO0_RNP`g~J5XGK1VMLz;mn9vBgVr=t)yp8soQH8P%IiDe9Y$TI) z!5mrbunr|TW9dl=+#Sg11UOsso$))LXG;Wwy+2`-V0P1`A=OdcjO7Lcl*4Cb=)I>c zyxq8;d&9DFZMi3z)Q-QaksaY&|$-*GBi-BS@{gmTB;q(Oii)rofk&otgEAqI_Ck8=W-WI zLiOWQ8q{4RCCu7$TPv{YL*TTLT;y8y*MPrHcc;fI(zz?+x={7)WB6p*xevx@b1B=u zN9I}vIvr5}uhH^&R_4Yj3Jv|-ziz0{@ZHaz;#KZgxb}dM4VjEC>2|)l@Z;hEV>+@d z!=LY0fX9yN0iUG__TvR?D>4fl2xK|wj-g7()>0-Kye=A{cmB?eL97q1T>Yw7-cQoI zcPu~2p%3p+@5RYse8f9@XRwd6bvDkCd)-uno0a~RuRXuU@X1=YGuA68)RW0&rE-}5;yvLb z;xO}c+1#hjc@ipXxV0izAfx8TW?wtsHT>+AOtMw7!pQn3=4CmNbwl}GW9Q-VQaY4A z4M}nq*9%g-$z7ZYCDPl2*%azrrl>J{B3>bTK&kFKZm#GfDkoWS^5PJ*b|dL#Y>|HBPgZ=o#dpJs)g)b5ydTVE_4qScHtKOpF42$Nvs>jQ z9$nj7pTv8hr0Q%;As(pc^Lc4p7hpH-BpS!GqG`xlKfuuCtus1bvyv-%9a|;se}9iU zpE~|_k2-kxoN-#6PN7K3T~}EI`fgD$eqx6}2PBj_a7sVnmrH4HnS0=~ zX7e6j_Rgbpe6E3Mjd$Qutoh^pPAyEACZ9?3_4|$mE!vuk>6Fmu(i6>Vhrh>VrY1&d z^mjLHP@+0<2f&1AauTD+IW&0J?I#co?Y|7v-pZcct6L-;=}ZX?6>Xb#&)%6-yW=fEX2shC8?j< zu}pevV%6|wuQh*RuE~&9jJXmQz~Y4Dtd;w5OfyHany;UG+tYk?P({9d^Q$}igO0cb zv)@-Pp0ASF?D+e>tHlLc@qN$91;cs%bN$+9PmG{lCW}aP5jgS7!f->Kl2W{*Y35^e z_QDf3TYVpJgyqFv^QD@yYZ<8`8^ML3PwSRJ!Ju;`RZCIi$^h@)du=-b&g>u2%P;(q zB7jC-$*ovo*p1*1YJ}&B7^B(zOwn4oDxx41PvUnc$9_#X2j0@nEP4Q2PJ{49r3mqF z21;*oDtZWdq5d=K5|WzV<(rNBK=puB@ ztO`xP>=oBZ6*W;Dgi0qp&uPrYR^7|?mXOB&%|ApI$zF~3hL8$Hu2#1ylCJEmF>6I=ywVYbX z7A>elDN9*e=$Vm#(vaO1#aS4*fat4%Dk?K~p+=)aQrLm)?CCW0rHOGPic04!9ch_W z&Bv+q2EyEI-EMF7#eD#67i+!`J}X`+$m9dtmlRbmMN{yohnjnXd_q-)$j>?n{c5 z*U1_=dtv((-nf;{_6K{FOm=V^Ta&f!f}r0pRJt?lz#H4ZAThI2xPV6*>Mbh)AHx9< z?c-cHU`x(>s5S`g8V9b}gcUcg=tMRpmua^w`)O{5Hy{fNL3`qh)zW!v2tsrT(ZOs+ z{M(seK>I5CK5C9p(N%fFQ3i&w+35Bt3t{XIxn?frQ2t8qSA*(d5bp5wp|a^UzZW0M z6`ylW(3W(FnO}3a$_rAYdGEdJ%FB`ZK06G;a^A!XiXk*J)-B1!t-h-e79|wDTX%<;1j8Z9QV_d-L;%Y|m&4-tIvL7s6Kh?(^Ax5TO8aQ*XYHANMbIzXhdK zTF>tupcsIGBk_IJtk(f7(9tXebtwdAWGE@$y$Cn>I!_#h&F@aAFaSm<Z4 zkh6bZ*W*nLF^-puL|r~|F7)wTwA#0`JR^CCl9tGdWK)KF*7T?AqZ2L~3?9Z>$H+rZ zZ)Bn=hOW$B&U^@6X-r4D8)*|!e#<_ywm+*fOgdn%coAGfE@xJ1OOXi((9-%zW0{iA zt`dHwT1PYCy}YBr;8Xq`Rn&e1tdi5PRK#pJi=GJzd(1 zxbxWTyr_H7F=E7y5(i)=z0*@21Fv~T+tAL{-Eyo-pJNjXH2oN;CLh^Xd8*-gbq;Rg zaFfJVD6(TKY15G zS~z!JZUGtEVUI~s(K6ufyra#}C-}bKjact*!*UAEN}h19o0JadV9&otn(m@b8m-T~ z_P_l@%elcyJ%`)thOJok`_dG+6NsJN-GZReP3%y)lI=|`7>Js?L%r@*a?T* zezy!x5uCA;Nj)O$Dbl#_Tr$yyF~8D`d*KGa0?#+JH5U50ma@+(E(_)Rn_sJL5}~Ok zlkK1=M-wWw3y)8Kh3|$8As>)$767X{#GjW&N@%`769$JG{(+zH3`Z$Xb)&P{Z0u>n z+jjj2HIjPs*rL{>F21_At?Flr=EAt$FmKE0bW#r}-XQLz z50PI^ZJn_}_^8e9G>RA}2^Keekmu}wV&y_G8oqj@GB8INbZttF-S}dx?vLKm}I!5_elHAx4 z4`1=cJ5t=Pz?CInh$I#^$%b22)IW-MWtDR0LXvDAb$ER9()r0X45u}{84*6;L9DaO?1(Dys6cor$9d&=$M|DXV!v1B(MA$wx}T?1jIGEhCr1QD|<5I zqnkHCJ}s>63FK)(3d+K23}4>VXo9ls@AnU46s&R~ZHbPzSw2t4aD4N?HPLiDC{|lv zew{1)#TTp&Vioy#KUH90O^HT@=gN&+e%I+$(2k0A6lNzl#~38TFyJ1ke)z!NG@b@J zo~-`$eTNqkvlL?s9tb!im(u`4KjnhZy3WV^N`&=+=4)+XrflMI?1j*J^DYMen`&y< z#|Ljm#@3N6qWTicL-@fEi=M(8hf?<@_Lk9VK)?f#BRY0eY6@`3u&|6uDA`QePXuMJ zCP0?+NSV@S-$s5+=wm&UIkrf;#%!s)8h(P@s7?tLFhK~ZB{bC<`cYaLSA``80>xbI z_zK^i9I=kL3VUkxosZgS-2xtRFiq&xnqZ9O!vPLa_SZT%W@yq-!|e|xYuq!Ou^0DC zzL|r>5s9mlj_z?tC2!+(jEu}}?)1%be!(dvJ_Xyvl!i_y>E<}B&*zOBPblW2{I#fxqu-YYLox zPJFAh^lDUvKh3gd(6qQm^|?5DjwZeaVXs?ij@aOXYIi=Ev5!^fGmhvmE28%h3zdVt zb`iJ+T6vrbh_?of4t$s~H(Ec_)$G$V9~%d&!a0Jo%`#OYcCjmOX2KgEd3+88lxq{a zVKt?B2<`GnV4JfIZT%$MMg}7?-*0&)v_^7d3!!d!x0?!@bk7Z5r&u#RPpXDQ(XoC4 zT!U6UrRHU1xeOjlb#W>l9h2#*2S1baQ8Q?x)_0uOgPk_4n0MpH9ZX7I~;maHg zXQ1LU_H(nn%@xP%$(DW%k2-A+HO`@_=K?Mu+@AjRL{b*!gzuY0>+iE6S{u<4s`}^| zF$@S*Y^U|n$l#AGwo@PYdcBcFkHPb*4oruHZZ1CYu;*1gPV=O{On%q3@2J02toNH1 z4w*O`+s{#Q8_r@(bg9|IE{{)Jty-?(VG7mldcsd;F(x{|eC(z(__XUCMQ65$Y#KB; zV`5uyluM48zbA(`X{dsy^x(sH65}oIKO~RW1962av|#}S-Y6f!LTI_xtn;n3_hU7R zx7ZtmxSR9q<9TEgYWiBWHN3;H^5r@^Q<_k{LCqDaID>1P4V>ulvRFNDzt4jST`ZjJ zb)>Yu&-!B+NV+6uPq`^m_1#CGF>C~V%oizBJbzG)S|z1DFwm8A#g28s{1B_7M=Mk= z%tMU@W)9*Q=Lkj+Ab1<5`-jPVfp9g)65|auNhsP=m8j?G`{e|fE_r`*dCrCJi8`SDjNh=-t~X^zh^P8Z|GkC|y}e^9A|$S5?;TQ_&+oHg z>@vr9JJ1r&F<3oVk^RAPx!d7vELM+~80Ry}Iz5qYOVcHMf>DSyM1pTBRfy&u!O(rb zk0xMQ>=|oOx`9|$e_&K2$JX*rB8KcElR(ewIk=P3)!5$x;eG(BVF|1mblx1xg9AdI3 zZrLO<+w6A6qoJLi(OtSIU*BiONN~dem+4qM%W{3DJU?eT6ArfGysaUOBVaU8h%=(J z9QFMnC2k(D#)^{y0Kx7hwO6olx;WU|bPUU*a7=*eCOOzF>Mk%klx8SzRMBG@=z`S|0{>_rpKF=_tfCeOi29= zo8v3QUn`pdrEQr_rRi@np>AW7JE^#6NsoOg(cCKg74T||h16mC$9n}TnWSy^HxYfD z$3*6aR5P1#eHT-b8CvYb8DTKOL_d85g~u#zLDy_>AG#$_q4Mr~c8wBW{_<|w?>lFC zludme)x88OM$wz-dXUo-I#LO#)Uy;{c-Vx~byfnS<_#I~`^=g03_Ft=2P8S}gbdrZ zhMvNm_3u=~3TkMhCIz4giB38Qqg}Ahr>xgQ8NSJfDAQU-Q=Fn-#Nt434k4n---hzp zXyJ055vm_aC!F)BaGiy1#uzszEOxx12cF5d(EF=>hrX|B$HzfCg zNuB(i+$A+@aIOpYHGb2o?>n0S%Fs#(==zF;kF1;N`)5x=y|el~Z=J@GC)Avrm}W8B z9R=>*J_;fcRr`5p0-dxHV9lR8?^tEKH>js0FnnOp)9Dp2jSk76r|`RfpWf$hu08k6 z;Lg-w&@MNO8H)Fs%^F_hq4!b8C0T7V@DOS62#y3F0&%A#D(!Sa=VAD(tNEuW#<=|InE-0-aIt`F(xrv-YQz@BGsLPx zYVI$43})rXr>+$v-**Wo@P@@UP1BrF5|H}cv#LO-P+R-X{J#4iK{r)?I8EVvUs3(c zMFME|r5Al9&KR8<%MpaczC!ejd6Dr_aV{FZ>t9;){=?aAQ;2!%k=4Z^71@2(= z@4KWOmp2u@+&>0TCD_0)jJd*ObdnM4f6FO?cOL`*W=r$R`i>)Ok}w2ecy4UV0w;@2 z@o!ZWOY;%xntb@A#`MhoIKS`mRom+QQX@lT;O~CA(&ICf)M5>^RvsS$i8WM)^9`q` zmYIIbt6JULXvYcLCsXn~Kwla7AecnrGz;GR>-)}H>1UFnUYW(q<9j!nL>$oa-}1Cx zknxRO-~15=z({gDmnrYo6@r1X7~P9ngWvi_Y`jC(@e|HS4-Qy>HYRpt`rr2`oNqlc z=Oawab$UL$-}as&6!w~kQNuh{V{AHcUZEiA*d}kxXt9}qZ+qjp_DTU$^(HHC(f9|0e>FgaXu2tiH z?td8fxQYokGt|F(DB>M#=m<5@{?9!{7i{uyWnfzOrw_Sp7b|554btZ<2pA4u%x4zvtl|yJNWnKcrO3l+(3sJ(8SYi^`!n% z2KWA({V)mV_*c1v3H#SNXgz=1w-Lxsw{+A2O+@$K`}NfSl1s>k^S6&kGDrMx$L<3! z{9d2>`l!Pp{nB0uuxRBuvb<#fmS_CklT&-yzx7|P!jM?}e>JZ1CLB*&s`rm-i-(hb zJN)auZ*RfL?845vi8AsP@c@C%VS?=J0o@k`xUZXdCsNU+7nn$$HJ(fuE1EbuT@wTw zV9j%q#QA9vs4uS%R~g(MVcvIXPp^7WWlSNqDrGRf%HHS2u0&njJC50dG_=P6g~;?A4b*z6vuiJVNYi;?kz*AOv(MR9>a!vP(E zM!GKlvLI&rVVIM@!)*B zS(A7b@O6ZWC*JYCgMOXGH9&SCQFNTcWZ_lsHq(lcCZ6|mV$vf?hB+v*4ehr>Nc->V ztF7PU-ZUmDArCS>{y((+$JVRbwj~Tc5Cyy|f)Gx4;cIvg!ked0SnIfm|DMRmmYI7M z_Sa+(Ow&j2b2#}|LV$ZST7wK=e_VuiGE-#fqD24YEUh$t6`;yfFAkYUweXRV@=e>t z_f!cg{mc}S4HG=Qc$+6RGEL@hjYFeO`S!NOf)QzyhBWL+WV(s@dICuAif-IBI3)Dhdg?5b{wb_-XChQh2Yx)Z{h~8}5 zYRZwx`P8Ye$;hqlHxnV>wR-i+?~(z-o3`>MQrTwTY$hu%t3l}|zKLik@05kB+Uv=? z;^i!|Psmshnn?SwLcq@NY-wbT2EVBv8LNcHj}EwDnHKE?m(3)Vw+KOuXA1%d-gO7q>Wvn zgw>DNz(A-hcX7H6n=1sAzX5$z_U(S-Sm6zNOHPq1@#cDE`JaHkui48sk5iplhrEe2 zTV^+CX3!N5#jBx`JY@qyJ!((i80i3i)bHM13z>?yUOb-hfGf0h)es%DEre#K}nBE z?odSk+V_|rt+8*)`{YOJ=$vbm$Pbz}I{@jn&$jp#kjdZnxlqeu=i#jaItk>R4z>4h${TwE9T$++Kxuv zeK+fHIx@#TKI;Q)xR_DqdfN{Dm>((?_!W5CCHi!|d)%ggIn^T;<&f0hAD zR;6xWAE75Ctz3-A?dm-bo6V2P%@^C+o!~z;kAYj8t->w9auK~S>B%|It{av?2ZN){ zZ&2~32Y+hN!u~-C9A2@n(XA>tUW!{)g+6~9@mS!j;r)7-l4%O;rU0kRzk3^1)~FZ) z!u3CMPoBw0o|mCdMw!2dR1bRvwo2^cXTQd}QiqNg=?uV+@IY<1^ibrG^r`j8Y(aVf z7Ur@MYs`L*Ml_se#?U#}%cZGKt|J3bEsFc0s#GC0#FjrJec9cX)Iaze#r^VX?f!c5 z$AXS8_sEhP;x@we@5#x6;suIIM`p2Gl)8)YyLa#;eEWJ7O z%Vsbbj9|t1l4DYka70gq8~4LGS{rY9@VG2HEm~cb^E%xH&?IakJR!fDw1Kky1RbKq z5>`VJmMQ6NOMfhd*F3tcm6J8-QzNW_(m585A~o`!m$5T1r^Q;x-Fef3P? z^GE7U@J*JUF8Jw*sj1%CneMtU_PfY|=7mfge%2QP-544BUuhR)`y*EoU%#`$f7O0{ z8OLvd{F;-!Wt)M`+`!>fN!5r zPn>z%80-?9&(~?$?3GE8_QWI*I6!#)kI=1A{ZU~(&9OivGpb#&a6uqlV%gPL@9~VX z6fZKHmUVw21x7H1kpSD8hNb<5`fBUl_b)uXQ*A)Mc@~|XblOtYQ)?{00ul+^GX7+J zxCd?ySI&3a280XbMX=GJBH!24tKGWV1|!_#w5clxkKr46`lnERu-4`feEBjJdiwzH zH3ovt3y7WoApb`KZ$@yxn`?%F1E(Dqj5t9YhX$?&ZsM`2rr*~*e+`>ot_GPQ3jD02 zU{qh7>i(96R_1^rVzuy0F`j0}7u!fH$!jC^lE)yHq?jaxng{m^hJtM`70 z1@kf|;2x&XI>q*Per@+xBTVZd>lJg> zmdC#*vQ6Iu-$%F3gUz|0J5X^-^CRas(+x5-zPOJ}))TbU(GpE>7NK4Ef-*Yq!t(s} zRG;_)2T_gYfEp1M&U=G!=R`;n)|@vdyMUKvbd*l=u(`1Vg;@_azV}D4(%~F7OTr8+^>U8ftsMV`SUfro86Kt_t#2x%iFNxTg?7#uWjBrTT0SP^AB!x_~$K zwJF)Tp*lLBJf*%87Hd0>A=&FDrlWNRUT~6=2tvm@>7`u)JiVO|yEr<3!V_TWTjruB zYPLJsaI#NU{-66^Y9R7aO!qf>h4Px%9SSKX0>sJ|@vk%VV#ZL3tt+>l6EXZ6n54q< zeZD@z4=}7lM>F;&XRbwOyLD{m-etF#zA>gP&n%n31deW=x~lKXWsu>AE{VglkYx{- zVZB8hy7y7o|Gs|dj$qGFOZ2wScm!T#CQMJ&hrxwmhP=6tk+4O)W!*MwufcJY&sg_@Z)PF(bBKKEkQ*Q_$DvJxwJ+( zP|r}l=SS!{z5WHw&$126mydb1Dq9Qa0|e`^-&Ydb=`wUbRfK4Q)BJ$o0wt-6sXSW= z{=2n>3b@`LfE0>bcqIqn0L9MFys{67f)_QkhyC;}UNfEUf8)34X~vY=_D|8QKe1Kq z*@yp(ty=%r*ec)${fVvWQ~Fm{9L}T7H>pWTZPlmv&d@IjsKJXp52>_wx8y_Q>Wk7V zxqvh@&Zw-Ye|n$-ukBCmuhdKUYsF?=WAydjLzd}8QVC;z&=}+I$&4^C{po2+205avMoHa^K-#HW zX+O;b;}Qeb8BNz~Lh24r3|^&>TiNNjF|`o>RqR&-iyz3V;AyYY3!e*w?ZHz$33tTJ zC_=WaR=kBdazlJElM(g>J5$v8vp;?|vS0qpqi94g01ffcOe)4=I-E9;>3!V*ZyO)# zU7Cuo&9G$nOmd4bS;;IRzxU>fN_0n9jTVV;FPew8gdNO`5DwaSGb9;WHK+|~-*1g0 z%gsHrc?`E8Ut_OC<8{;5U=Drd_svGV*|h%uqAu0|e-Ui<;4*MHXm@lfsGX1t1+&q- z*;U*m71&BzZ#&oc`TOx>C)?&tuA(Ro@TGCxP9Y*|w>k#mX#o~6M|1C0^~p&4y;gys(-()^os*Mce~P1EdC2htoIxEb4QEXxyckNdl4d{I3+qcL$4O!exQ z=*H_ewqS3zq4JYIGujV8@Zh+3R+QhEfMp|B6pd5yf-|4>$o$f$y-(c1DWVLU8`1N# zUKK}5J%bamODx|NTLQL1fh%p#GtM`b3-ep%`%UCUbK>1K0xE$jAfDo8M%rOM}438dZe_7aUbAK&@M&)Q625t!I6B zvk{fLM`VvveGN_W{&iElWX@5*C|tRZh6Eh3HKf&mA-Ht=ZubggK1ZlYy#!j@K!cbu zevbLfOR^tyx3(d#Z39Ns2)LT3j7jTIM^#w=De#xb&AHR^&0pkB`h=5-Ah&${iOYt$ ziBRSZ>YQHR_ycvTHCdXJE7fhj;2GA(PgKMK*dOh_l?ZI}hBoeq5Tn=WjaivMsH4=y zf(g`5ZS%>32s1T?e$zo{Ur4{pwqhKB9F<-hu)W3HZ#}tA=2EEyUjsL+k-u}ef-F|V z>~a|6tf$O-+yMTTLBqlHJTqc>rHU~`PvsV0xci&6a<1dGb7N0io}AhEX`QAoj6eMB_JxrX4L*k%rKEd!!ljVM!Xm)!WR+OrhS^ z`t2Or07q17{$L2Of6M%VJ~4It@N6hM+1IpmiG>*r6s6z%`>9+nZ_EvS6H z+sJ!i_aFt`TI2e~i)u*cFuZ}oN9=BdNoUV)*I=~)&YgZvfXoSJq4Pg{3})YEE=V*$ z6{o($1kNk{B`1~+PE+YfkdaMk65q7x`$BF!iKrp|b_c;uq`01__C;zNhTe z#q#tFwwTj$rYj<0)!8{D({Hwt3na_&L^pbfaiGQs6UQjQ40;7pKW zuC}4HVs}Aw{X8nljn`Wy*B?u7uYoAj$5|8fYm&bpdw*eDe{W%$N(ySc-b?6KKqCKt z8!s~gW|>4WL;yqV@m)w|qDd@u*!Al8`9X$^qh3dX1?~y_02zlR%%p&-!Uo_skxpE} zdTQp6=4l-H)XKpqQa_UJytpcySws!&N^x*@v+c=&^8Ajb0lN!Z`N=Qn?DE&FxX|zH zaWnP?_4yi7Uc0I(Hq=&U`f7f+X2;mw+@Ic*ThgHgmZ)aLJJi-UXLgI;Lyd%aigzps zwKyl6_{@9d@MEVJ&Q@U&6ryIu`K_%umvVR9wkU1C7raed58@%yA9<2}R&)gjG6RiF z6Uo@&c88)~vMt1*FauAmyO8GPHm<${;49fv-^#Gai}{hx#sauZmg3HvjyIy-Aa`6u zXKVQMP4aKa$TIdDGU{VMaU#lc$`B7A&0NA(-n70r0=*Gy>|p3^Y>M3ggJW8Z7sWft1J@t5MKGswNpE-|LNyEKAL}%TbIhkL*!_n zfBGXRDE;Ij$(M9Ci%{RY+~bEZn!ZHK{?iAXjI90Hk$?4rbd9n1$7PC8oSe3exWNoR z^{M;Mno4>oSVE&!+zLmFKl(TM{8xRN3uTi-Q?2|5{HNde-+dHWf!1}y0F;TqR=2fW zt*hP6_i{+1?G4BfnS#paLjZsJm(VMi+q5^jUY~C@ zgvQHdR=^g_U+vj@M4WafH9>5D{o5C=%F4~Ek}J}ff-UyI6xm%BjqXxK;TWPk2MPQz z$~@mXez`Yx_rz%nlQ*fYVSvcn8nyDaZA;d_Z$>^C+zzJrdd>a~w%^x3>;1@1^oc0M zeV7&byICXQ!Fc8mJ^UwVm4k^^2^R#Ikk75RkSSa|ASNfzy~j>}TF@#Lwq@Y&eqQ*4 zC!O~yhQGZ@pImSbrC%q+{5yuEKAVrLcbHxeqmpW!{b>)aejji1a|8ZyTSy-Pz?E#C z!|^lpJJ1<<9?Sgxr#U8Z3k2zj_e5fx*5R9HS`RBgs%QN^ZI6xqs5qGGWS97tzaN+* zRY(k}`5G`iw$9kg`1A!pP*&O#&#nYW^{1s)YAiQjAQk`wh%{Ti6O7SJA-xc#y=004 z0OZ8sxAU)O89M30EM$6eZ#!$&;tpRsxeJ@{We!RLO5Zoj?SKIs7#XJn^z^CwlJ{8N zY~@}qs{m{pi2-qU%)SC+^8!V0PI%gX{*60$-2!?_wfOmlpT7X-Z!#JhD2mDul6dHotB zPGx--O-k~<{&hPG)@&3Q#SpLto*s2EV+;UCL@s>LcoWA}Ue`Dd^@#8hQ zUlsrhQag{M-)050^G&je(8g#fQqc#|w}37u5Uk}-Sdh@;Vi{HJ^iORwdEC({o;J;Q z;94M2;up>{Q=F;osZ(zN*%wc@?&Uj6(NhKimJ~H~)p73T2=RDwd>;1OW@mq^vGY(|ynL z{1WHzR-~aO#?KUc&f<*s|Aza2$|76QSX%BEx>vR9we%0E+GYB_r+4!?IU_+BDvUwjR(IxMn6{x?Go3(*18}M~%jM)3C|fdK#O& zzYXsO)t@&%C4y1b*n4VQ41Zpc7FGVR?DIju{H=lJhNtEu!rQjPzKU2exN==RggaIbCinC_ z3@AXQ!}sqqUTYhI(?amwtoy~siyJ=TIpbv+IT;)Ry7|u0Vf3wHkp5m0Jf*mgLIA73Qj4LPT03Zxu7Q53Rv-HCGlg}Ukg%|tuJ+-8oL9tk$ zV-7jG2a8(6#xmBrE^>fJ9BmFT<^6k0v)4B^l_pBdiQ+=K-xUDS2>-PCRoJ66kirp%DL*&fPMv3Y{R2o-zqbqZjhPSC-29~)*9*khkGG;@Vqx4$aXl(< zk}o3`kI%-3Q2Rhki1+4p!Q?%K)5W7uy;%qr$)dEC!#C<_0 zL0dpwa${~we`t*!_ma^M?|TlS5(I1L+LLp(Hosn*uLvapdy$y1?*#7G&jlXra>={6$ z6o)XS5Lkpcn5QW&*v+mop5l(YP0}>4sshI_>&-CtImvVE#1kN|9=AoFd_J()4~S;gJEemBCPj1MV;5-2KsN%@FH+w zGRrRG%aw49+)~fBn!v~*5AH6*l0YO~>$4i6^H_S8<`DQPnTlCE1dy87L8Rq0&K5ve(TNPzv2U6ygL(bt6^882Ehw%#1^D zSRZF8ZzB1zKKe@phd2wxTaJ%l$1cuHVf|MumikOc44OPE;SnQ}c{7 zR^*{tQ2|1-Zs9rR6x7$_Y2Xb!tJz9MN3qkzrwY)|9`Hl0YgPE^bb`CiX`YWPXW(-+ z?{VnzQ5xZo;I@(Uq7Wv`#r)G+o6`D5YzM1#ggH*~XBMZ8a_>27*!sN_>C#JOIn8>D z!)(j^hUfj6l*vvB&@8&jTAPKJ&$?=gg^*ftOt&<)K>LRrnZlodP?HJzyOsT9>{Py7 z?g%Fb4y@Zd?MmhdHZOQ$oNBe>-cLo~)S2VwDBwz0GO65K{{co^noAjWk?;xCegN!T zfho9%#13>>7a1ox0pprl9V`Wdd8kQ}do)esBJTaIr|(XIo!K>#X#_F>b?{$zB;U9x z(oSe$qABKik=NgPKKmRdv)gCcBp-{VQf?Jq}&HGNg&WUb@(YMA_ zB|o_qVD%7Sk}&{9y>D_5^+G#YvGtpst>lx*ms%xpHW&kH-AL&B+O^*Zd2jnQEnldD z$HfYIKULI^vMlXrAJH2&j{WL`V%smkeTBl;$F?ue%=Vj46yt>U5F+m-lHmC#`9^Wr zO5fkRQe0gi-Yb9Gs{w-C$R>RNdUX`?9p0#mudf#L*R7&RVBXcsXX%MrM+pUqK}RVg zn1-B1Q%pdsQwInw(O!e|3IT2Vbn0!yYk_zoinS{j2uu$)YeubIBkKN!9hB|^VY5G= zkH+kpT(aKJn{cHI-x+?YrFGmzvfC+Wl<}G^xj#|YU*Zy{JLL@-IRZ9!v%e;r^0icH6}-YKCzrv_J`aGJ|9`Q;Q-Atx|n=7)~n z)67Titnar0W|AQw$v4-;$N7d8FMhi$%D{jwu=UFjiA`4D1v8TBYgEKNYifObxkl(tB7M}k4 zHzl)~r_DZgfjG;zp=Xyg@iSKkokx>`;!*s?J?JG*-(zg$*y1S8kf~k;W|TOPi8YmJ zCVgW8R{Ip);w_rzRuVsTm6G|Gjkt2kC?oymy((B<69O{TlQn{+aVT?A5E;v~QFPl& zKk>XE(f4W`q}yIftiqB%5Bc&0!5Yn>hOh3YbL;t|3ft*e2cyt5>?4P~*U*#aMaDI_ zlIb(n<>$L?SVXOC38V1qCUkmlPZb%~?s=oxi`K9k9>A2D`=5hyKZwjf$N3#UBRm?I z43alAP(Y|X<2-h!QcKtS5#>D$D$C2x0pK6~QN~nEw zY;qU7dMR6~Jx^Odak#ON0!HxUZwNS|1@p~|Ie5y=vULBscxP=)J;woM3;fypyyYuN z2779L(AR596@c$lmpm7YoqS7W3OS2Erc7VH2z)Dnp?)){b#znub0~)eaTdsggJnUE z`T7!;%8Ma6a#+tBMocFf=>=NWRH~oSEEM`J&X@Pq>XuKWM*DeIJ1Z*U68MCzs}UTg z)qIUl;k*h{41qTSwBd^Z&pg9$kWE&*QUV0;D-xUWv-fz*^Q13zh!RRqOFjoL)7iE1 zQ~ciFb#C#<8DgQZ!;wD3xO*{`CGB)hnBYRjQ`Nzk%6*KU55pU|&2Lb1#r|fPQneAz znkx0;YIOfOXJuxY>BOoY6Vt10LqiUgD(j@Wzyz+6Qn|ZU+ zcNh-i3$2{>lG#MlKjI5oluUfiTQETWS&3~tXUF5Wo#8COzVAb`ymlOu_CNqdK)SzE zG{N8znP4Dg0%2FbAjRNs2UMFQ7#wy@IeXNEaZZ20>q`nd%>Yd3a`?+etnplCj||_} z+JWal|3c==&bHXd(QvD2>-)(DC~_sb@=E!+_K7hJE)&Ys)_6?gUY+{AVl!~*o})M1 zTLW53(4%$N?zFV~pOgys()yEG-_bRzp9?0A zS2=d1>5gnI0rF;xaIkNMJADA{oxB_yGM0R6#Clc(WR3y#2w90|7)dzPSV72{qpuhk zmKn7LlDyhR9-?BpB}ay-z^r^_Z3BrMF&Y5Tn&4iuI|bX#XZ73m%`ZM!%9|b*T5_pn z+g~LccU3NtZ-t!C#NG*UXA6f)q+80qHn#nhFpY$sve3;Aak0W2FJbKrIem>-V~iE> zlX2E*UvG74l5~m2){05Jjj%SF!dc$7r95A^@k!f&ln#wZRnMU9{u}5lD45mzZ5Bee zX_PCO2-SD_1zsA7fJ$lMH+0)nhuF=tF<>X&i~^8OUm^_?1W?0gNZAy=DEol`oT`O7 z+K&Z-=!k9)GK8J{TX1S_5MnYouqXBGUf6EBESE{Y&j3lk4D_b>cg*PJYzvLxcE;h^ zEVNLf=J3ziYm;n^jnVFMcvABtz60tcRg+!qS$rzaofLp5>$?fPK@xl4GrkmML|1C@ zezQX?UC`t%drUzQbCb@Isqq$3O08#1ak;gE+alU}#TNA$ov-S+pp-$AH{vo(;>D2w zo5kky&hwwF**_uwqANHySJvU{zud@;(#p71+qr=`U`ubudRwm|@2~b^Cj#i69vn7I zY74yly2}s&2%g};11A@s|ufX-m z0TpXR`CjQ$N~jUZIzRx9TG9>6ZbhJLlLL7(JoNBn-3EGA$dgK}(2dsjm0#=Q&ZcG^ z>7g5+#*o2g=p}MEE`kI=3>lqzWM94wktFnnoljQsf0k&&_aD!hascGpwMiH9vlp#P zbO>aW4CsROHNt7(j#Oscw@?5ZW5yLqbP2Od(DtLmo}$`e>1Kofc%MO50}_`FiHak^h3+Pza92O~99+tsm$6vvMrvi5O;Y&U?P) z50~9G16mgOEln!Mg`>gAfVYE`zSHj;4L{9d-4>gx1UfA+D`5ZvqZ1GO71fB+B!%(t z%0y%`PBV8U#s`{W=a9w5O%8XSB*bia1=o#$jjvyEV*K12XTKTp4#1c!>aYqaIwuB1 zb~zegTJ7gNEXi&i8o`mTJIIWWYH&%L;T+yOK(b%*8CoIW_&00qsJSQ2eD&D zfA>B1$yY)h@075AoyFjKRL$?J!A&`eIkY?YmlwY0Qu&_37=iR{y^$uey_)LeB{q@L zG3qyxB}rvkNb8(mUfTGRf7>9)sC1%%vL(rn-@p}QO5=9R)gbj=mQOqpW`GJ$uR;rv z?r%I}qjQVd>e}DO96qo1JHEqDB1-i_i^)->_usFZ2_oX@v5QLTdvU@FNRwLz2{$!S zD1%1xg=HA($%ip(?aJQ3XP;1a++RGie8}{8qd{H0!!Fq8>HAh*vqF2hY8hgh(O%Y^ zQP%dUoVHO5z-LUon)h!E_GJ=S(!l9V+LJPq$(vA9_UAJ~Qypua|Ka7Y>)J%P^kRMd z3N*%X;W$3BrM!@(4MT8UcDZqX9}7>mJyzry8r@=e&%*SbGzEV_AFGQ$^}t>FPLW>- z3%i$Tn%!9B>L@9PEAh}uD(!nYqoO+#Xgit-;MF-!Y^f0ZE|gZj$8j6i?BHwsb^td= zUfp6-T}6Tv1YG}B!!h-)me_Q>fq&{G+yv$&R@B%;N}JTZc6|L>K1lQny0<~Z8h6F$ zl5p~Ehyl9x8^OYCL0Z0o=y z-ljqkt9+U+*s);i%U*k&CgJcP12_#c#ekGaa;UV(vs;jq|YxZ~8 z_p;oaDyIn%iD8&AZx@fX#}Nz@qF8^_pkAbE8PTtIRB6f! zF3?xN!VReS`}`rr8)VsALTvU9f_Ps;g6)cePmvad?(;n&rf?aU*KRvS8Nkln>mzLp zJB>P5g=X1JSdh||DOnhxad&I_%Z)PJa1i6>KYI?+04R#XTPKq>(AzH_ zGM}IK$4|>h>{Dy2grlE(Zsm%`Q+Yo-u&2S|;jg5ZE|{Q``o!EX%E&C4jD0ZAzXYg3c&AmMDHQHiGLWg+dwL_)W>i5Hc zmz~OFUVa4~w#@wNxMd$-{&48AKY?!V zQS2pn6t0`HuAt!?jkYDorNi_+<(6JCP@4FyjfVUpV@vhe-?k^ZkL)i$AHW)kJ$pq* z&lfdU27QMk`gmf8T=(y#h@1XaSy~wi(Ryi*pZbf{L@go2uQahTza?_z!nyM@abXuT zh55WqnvNC-tO82~lw$!21qOhc7iw$d@3D>oy>~{rA(Be|Iy|#S8dFsgg;Ct4L2>U-t!T_L*ehMV5#!RwY^3?0zfv z=R7iwR;hlGP+*KLUS*=Wd!M(zwm$6=8@11G;gB0wm z^)D{Sfnz0EP_7~6T_SNT2B%Iq!eO`t1K12Oa>@CR>v^QdF+?MCh{85H- zI&(z9(d<7pv}V7yq|$Ww4_oe76d0W@P~DAOfpBYH#FRT&vmKa^Tb##pKD>^G;aCXa zm{0juwC)-#Rc)3-oDt$xXvvE!aEuIhTN=I-%$G9GEbcO3)!6xwm}VD60BdtpRaI%fH?A7sJOv z?Mvx%c~*g$3y|ej9pc&aRt;ne#W}o=<#|zD?v*))Uokze_lbx`u57xzP~IF;=^uDA zIHJI_79q8Y4H8}0(>@d)LSYsfm$-%jLhlPmb^-*y1cHLp#g82oku{-^m9P=<5bJRc z08B9IacZF|YU@J-Z;Or})Y7pEUe^fxD{H84)8lum63>z|PPoF&;QEUNj0sZ(io@2e zE=cv(Bfqtr3BI=pMMZ@2+Hq~JdRCxrUK z%s*ifPrO6mJ@H7Yf}Z`oI~)3hnt*?umbXs!_4mfJk{?j1 z!IDgR-wO{e&E-l^jiPB7CA9V?npq_fB!1ib^4mtlT4C|X9I!E{{ByPO z6WJtiHG64^wdJPo4@aR-MjxAcT!3v9^6Y|*pw3p zy09sq&|{n;(hQj>d`9B8#hA>W(@kqd+470ycaaD;KL*G1FvuKqud-`5mo4=sGf>WN=Tq%Gj3O_ z(BCory;Oy-E~a_$oGNmK$vnOK#c=Mtn_h9ub%Ef-#lQ*xfJtS#n2Wz3PE}86t%}5| z`CwYiHm4;qxa-}}IQzk-G-p;njc>ASZQ6-PNPf##G%=p`_>*D+?2}jSYMWIBe`aDt z0wmTzADK~@&bhCye4Aepcs%QqAn2#iQ;dF%aS#Ma=}daIE+MjCYH_Dj?%`NFUEN6O zPrrsptA}|3#{I&IWx3krB1|XQt(iI9W-hH@8EFn1iWA{My+{kaMW7`QqK`&5p|B$4kE- z|M{KuXnmQl^);+_{M6B(r_Z@^4gUF_=-kV%Ts$amH2RzC{ptWvzOc6DXt~b6YAke7 z{m0&NQ}JGHS{WdEJB(-*Xgu3_4g%VrK1C)|yqRK8*CV*(9e<-ZkZ;^g!z1V88U?YAquTdm z=BfYM`xcGk_<<%HdanTVI@nbCLM4-k(sc`kn_NP1zWS4q-+yGgv zQUI_YK;DzV)wfLsfXcUd61azCAd)eXj%79pN~*e*?UpTHF<6q}5-18~JED z8#Jedn+WsoK=Vci>0l7t`u+_p1f7li&1wkOAE?54F;9>70GuEq0j4UUoeUYkzldfz z68TTex$$k~_rJJ*dRDrZywqI ziP=l|d+pA66Xf^zU*G)~#y+uqN@>6U4|pH^9gnEK!KMEi?LSTPB7fTZzJIq&`eQ>M z-DYZr4FOP`&Nmc>!bNJ!-(R$i<2}B~u1_kfptIV%hpS>>m3wunuqYto)>x-;uOik^b?)wu=3jGF`I9D1(^Xe(?P!V5GV;qRL^ zN@9(LJ8l>*i0%AHSI8@lQD(rl{E+{;o7WwuXB%f=U0*zfU6k(R`p* z9H(HO8Z*oLedp5o_9|i~kuBZl9T5>PE~N5S*R&OwCV{0)_I@iw4#k0Ztp zYy6$geb@T_nt(I2YqD?(39-y?Smvo`iP85uzY*yRY4DENI*0))>`LTT$TO}?4)3)G3%jRw{;>{NGB3}iGO}eycR@!E#9QE zWS&1aF7r=5(XpoXufE^}KquWdEXkI>-y_+~oAa=r*yuj}xw>JZynU{0ZmbbsMf{VB zf^ZM{lu+%+?$HmJ;?@FoCwdd#?up1Sj8=z;C*B&M$DZ2ye`1A}5s9stNZ0Xws-^Ta z3<{Q8uUjwK;!2GAa1p>lWLmwN%-1P84ezDQ?WS^XqKumeY)Nl2%zikko_mx`H+w~` z`QF6hPH(XQyeYtRLyvEWTpxV}mWkik!8F`!-m|Cv^wpXxQ!)#k8~*hD1H?Mf6F1wW z8e8o)|GB{r7a%e#x9J`ykV)J#UQ6z$gQWS<@GBB1>ihn&sAS?d`hZos!k4N<5|!gtPAFZf;}} z7cA?`g8r1&Tk6&1^ZH(-zvyUGWlkYw6Y9PXEECr{CsEX)L7#v2UTX{6;?HiLZ;+Yl z-EL2xp$p9qV-endy2lTZ*aC_$?ZlJ)#pu01N-t`&5tn=tVQ}##i3pPNop}lo*5CMz z>3oITRpC4#3#%p>RbF8_XVEf?F=ivbT7$nKwllvkQ;L_Lv!>{62NeL^2&uwokgR)( zhyVIQJnz0@^Sfz`rxO6Va&tzc-u6zY7sY+G%>+Rj9>OK#n6t(Y&-3$JC3ez|-EhlD z_M3igzE*dPrarDZG-BWI!o_uj)TyzJ0*;{~7k9RE+kBM+@H6-N-uFIq_j>&J%dO9i zoRF_Kt9++-MCF}@X*&MSjq5nTx@jPA$8j3GW!?Dd453!V8^6#E_tf+NMRk@(i3 zgJ?tKwxRo}wc6u<%1r9H3%-6e`lKNcBA9mzhwCO2`D1t1zh72`YOMd5=oP)jKn=`J ztG}Fnio+%sa~+yts^#C1%Ww)jlwFemK#b$WMTl`;NDnT*Hu(wZY3Zga0{I@^)T)Ho zts=y4CMa;hytzh3()xRI>E=~BpVvGw=d&O`r2CW(_HK?mL;5dtK7;FgS~rxBkE{vM zhp|fnXA18Isreqyw#7%SCCH@{6WpY_n3L9Wn}IOBTJ8+D!HPszc1f|eR?!Sp0eiFz zS>n_gH%a}}W4!jKCi6~#h7B0?C1W&zHAY3W_770#d_$lpz&;VOOfSiQ$>>z;k6-RJ z;=mvW$~)4#trEk_%)n~3z5?5aMDoQ5qyHSpy9{#9I9Ud8i>}#4a~hGz5Yk%(R_)`T z_}sUn2XlQU9gDn4w7Fh??>(PO6WnO90vaN0Og(D7n~mt)k8ANp%ape({|ftr+K)sm z1ITx(5rw~zbqt>~T>6?WMR2B!yWly)u*O1M+HNrY5JLlSFU7I6oFTB&3PKSBc-0|7 z)x6R5;~h(!3X^-%YR?tcQ!`rN*n%-G3KY5iDiJ8AZ)^C+FYT1K@$3qS z|M>!X99Y@H9^k!isT(s7oh$CGwdC`gWr7O-@ff4rOFocJbm>FE`y8I`1=g*zp0Ox5Ro!*=nUpZPzGyR}k~*>n>r;Ju-J zy|e0IJH~aMiPCo#>6%T3VQG zgT_3nhNCIc!*$dLW~l1abf zZ*Bdt5-lpK)KXJ(wbzR;pPv46qrefX%fe>*lS zuX87*B!A!2?dhGb!EkktmwjUike5s7&98GC@^cPc)Nl**<*;&E5uXM&N&{7sKYg4; zv9K79`Qtz7wYR_9Dp=a`NaoDoL6|T8V6(UVAo%Kmm?jDkRvmdn`Q(RPqJA0f2iN+3$O# z-xLB;;MhfXBC+oA)Q}Iv1`DNU_qdhnCJ}};(4JVUPf52>uzCsTGr)qTk8g6VYwo1s zh8dxH^({auYW0;r^#E8ZVSk+2yB$rw-j%%1ffqh=8AXe7rNasD8Tmld}e2$-f)x)&s zZ1MU(oD-{p{f4zPL^BoXzwlx^u5JQJ=Pls{_y0H~mddxHc6DQ`zeauf4GSE9{@(bN z9n-)0Bm_$mWG4QYQX*$>>drFMGAzHmy$%ZcQ_AXWAM!ZF+0viWi~NP~}LT zeXwnhzXbz2uBF#WS%jOIm?!IiH=ojV-k$i5vAXZZTKC zMtq}V7>=OVj-zRC8u6PGs)DJI-l*&!-W)|U9FkN=!vay*@~I_kwfB@ZGG~I~(_?~# zXyY=jygOzj2Eis+0%WUq@X{(yMMw?BpPS!1(>= zJnm^}$?ibT)(_tb^jl-pB}P{hOwxobH)nw5`2@{7{f}S&!rdI$#W`d(g6|N?{Zw_@}V5 zF?s*g<>phfP#!-!M@6+axf}SSg1=|hUavH-1ba%hxX9mpKdDl;C%;#3sm@Wryk?XHox;^I^Tz|8LHRx8phAKA`_Rk9MTLKQg&b zp5XuGImh8`|Mi?B88XTfSlpBTaklY&t^deP0WsG z2K&jCesH~_utA@28Kuyh=WJelY%>8vHWiTfaOeLT|DSw|$e=0yo~cM43*`UnS-Jm@ z^B}2|KF6j1Yn}Zrv`QKLpL12ci)nhBf7XB#p~9EE#{YWee!5v20RK6s>jEh{Z0w|I`D}x+@sC_*TgNo z4~JHt9v=ZsP?^udsSj5@6lp>yDs6>+4w3-2dy_^-oMiw-w{qm|%MBUb3QiHUJT=Wh z_?8Oc`FCjw1H3vi_(h%j&ITwJ;H9-7i4p5%Nt1$Seh0lCVI2VWZLj`}YinX}M%t5` zQ$G>v5@(|PbJowj9rqrd>!0h|eY@Y$dZM+hws(r=`8RIT0ny6WQPR~9UHF(|VOI3Z zgnv=j#NzpQFvC@I~1bX^neT>~a68lH>Nh)LZK-FKr<6$0w z@U-7P)mnDoU*@%yMC#xgCP#nXKV;3GCc>ZAW}iCS!Hua&Yh#r0+H3adjU)Zs&oWl| zzw(sb@Qs-GO~ov5J+~bX0GZ?0>;S)3G+F}9{Jd?WuaP6t z-WBdgp)E!4lDWB)<*ywkqf=EB@pPoDfZ+`d}nD@}r zZH;;Stx)`<$$w!I)a5(BX-`cRIRDj|!|eC-eF6VFeE^D@hfAUT=$Xql+*HuYD7{qw zh1D2@zr*ex?l|K9frsNOKt%Prr!5m)7baOu6*wr?`U|8X21CbR%M7zfruus2+X3)p z;7G4xdY!ybV|v`ti%tKZa*fXwx|xo9O8|+lONwNFty*?LDOm-cRJT3vdH4rf>V@1p z3nCI-;^Bx+D#M1-sl!)+vv!Fe-(@wTF6iJelXAHNvHQ)zNz~x77+t*D6ECo4XQB6A zLbRqik6s5ap=gg0`3iB3Z*K2ye{C|C__wv3L4f(T(?ay`j3GA$r;p;~&$O|!m^;^6 zMp#rY6*%lZa2=%j(89M4Ep&>=-zMd9o9y4%ol(X?0YZH-&<@N2bp~MC*x(uZMlK@uhS|& zW6pFj(LW+ezx&(%+}hv>wi3$_C|{{su}!8C43{@msRuLfQsis3Q3& zee@n8?4>4u1pS@5+_*(Ry+FGzwcq2$mEe7UE-v5^j?Z5;8d6RKUA57WF0^%?<5&!5 zk4CJRO)CWdK+m5OpSXJ=5TZ1R=L6Z1^c@<$pp1bc1*hZ^3|#*R)2w%27?)aK`Na8G z%4H`5Y9(G~aQuQbVO^ISCgxlHg509e^YMEp;v`eJSU{A|-I}li=20dBLCPeC5Y>M`)1n8dCDB5xs+zuqfL2`2C3j=a!cauq17Y67} zhu9IUOdMvWJ7VC|YfBL!H4IcAGvQ{BUR`!@K?tsU5H|JEULPKR!(T5lHNt#7ErgLv z;*pkiP66mAyMlyCxA+MjFZL!7D3$kp4?J~wROw~5?9u2%b7Ulnl4H_34IRNzkeU7E(u`m}<_&`HZl za1iU23t=ghQSifCn|^<+ugq5ZU@u=Y-y&r%BnYxz8*?*94!igfbl_lcfl5m4CQ=7) zrn}~|!@+wlfA~xeDS9+7T&92OSD!hfOFE_ zI5d@Xe>~KVLmTlmH7}gNnkUzM5k^+BAwp6ti-D1Lh<&(($nwf5*djB(qeOrCVn7a1 zS|@k6xL$Ic_J#cN8lJv!Zx2E4NU`;*s|qC3!DWVoi`TMNgguJ%bCY|UJt9C{YrjB8 zjh)7u8>jqJSfdQNU+%x7A`w|^&y553r}ko>9&~SOzb#&4%ap<&rhnTbZ>sBXl)uoz zSs$5Id96Dq-*bP_zJR%i3NHE%6ZvP9StnJ+pmS}uzRgN_6`1bkP+|W+^ZMYJ@Ojt_ zb;LL^Kq+ud#2T@XpW0b2<%T$y+X8e?b7@lRUmTy1X|DrHkXz9n*Lg+3L00W@HyNe~ z8ab8+*wW+Dx_;@aaLyV(U$I}>F!Md3R(Z>WQ%r)$w--=4Qf-z!A#FY$4~XjAk7jyR zB-WwJr?!8sq3*VoveGs3X7gcy_l`FQlLsmVu_jqK&SJfB6q=YFY1iqx=3&~^R)Ogk z?Z!qAt#QA*Y#yV(+uq*{hp94BX!+aB-bQV7zi(JOBAKsH?&eMqoB^YE?-RCo#>Ynu0SMaUJ*j+WiX(8IbHZA7PuG5n;R8T=w^!~-dFp2d%$^y1 zRR>Ua8?UN$elF~W$dKnZhJ24~<7*sH=S{O_@Jo935R+N?8_^+CCfoInY)x`qtUKlx zf<`G-&Y{s7l=k_8qau^*e)9R)d&-6%2_O#`?47Ki<>V$4SS;Lh-nSb3iLL6@D6Q_t zc4tvI)(8i+n`0sgNIB{8^dZa?>a!E#P5q5hJYGfqI_=YZIX!aoYGMv(yr`Rm6Ja=C z)aZPw3^}jgEnxBFd3{Am4GX4s@c8;auVQex_BJoQT%@I*1L~xCJ&93PrTU6(R?g`8g<{5J~T)FOW?eY&l9SaV1l zU2*kZJt+MigL$I?z3RGOeYF5ty34P-$q{jD{wYC?g1C9ecAF!yz@VFS z!wBDmy#1r=n`ewH4S+!;e&?H%jQAQi;}^D^_7iH3cT-H0_gy$|u~jUYm=9`cHGHnS zB^6`79*3TIH8uFDZ{SfK4K!@T$yfK(|0J3)=B*UCf1UFujW@Qk>7Xhojm8&SM^;7- z%73#pcE}#Av?n%5H*WQ@2mF`uPG<7G8>E}aF8q{AG<&JLH*?Xbotc5yN8|}@e4=^; zF4qbP4^MKKKc1^zZ^Rl{)VNVQ)PE>aK;7@(_#`$(-zSK#ZAPHLM9U;wT{s;8?HkmL?+CJ=4uOEoBJS^j z&-p1ntspg-C_<0e@)}~0cZ4>n-0BJo^fve%w|JXBv_frFQ`}Z`UN;m7TIRNa=V{H! zw{mPZ{ZaB0pF`d2`A%e>Th$8)YfhJO-!I)uybtD{`<)y6zH_ZT3)@ z{)PYL0{3hoM*uF!_v3!UB$uE?`Zl3pc?w^#+2oAo(*%E>0pKmNOdz=1jfHKN!THlG zJZ8}ayJc;nv&^l_=|Fp*sk&=73!|AzV{Nf6VJ^7slr>Nx192BlGM%d0zHo8sKXDSF z>M!$);SY%wp8uFn&t~Ks2nY$&Egw*+oV`>?=J)je9WDX;cWu0L$V#}`zBxoz%n35Y z+|NyVOH9&VeF#sUMr0_LsM}O>bT|}?yRfMFzw$J)9CxE|`@zW`=Z(OM9XSxfCSUPv zV1Wpg9}4;gDr0c`+|s6toSc&Z6j!jpmd*RqUcAJc`T@S;fX;-PM5tYZ%417+!%=O@ zinq{)dR%O$=`iS<)EI^f5c+!)Jk-9>dOG`U@qmxglSy@|vsTAfI_rV~p{3~z@~Yse zQOX2G^|`~lOMS_!#Yn6RU}Rn5ut;f+xMkcJNSm5dVCP|_+WHM=-kLEeF9N?5fzHMO zAWSIuRGUUZ!Q;Dr;yQ&$6KY4f@EJPN?C03>j=i6_C98lU_Eimpdc-tFard+?+!T+K zfM%QfO8oc1S9DZLpBGbGGs1FqNS(|Wbw9NV;G22iHGFzYgT&fgD_7zXbT*e~LI^cM zZNC`^23z_iS+xiE)0ANWCui8GWqU)3vp znL}gXr9-EMvEX$=3qOG57iEk+xVk$oyMQ-aTv$qzy z;DLe$Dmg`xHPBNQ(GVdm5^-?jySG+TmN(h9 zg)tV6w}yW6nBsZC6X~NJ7!^r%fbjl{6rT|09-75}#`;A?w&`VU+M`$#_V zM=xJSv>*iS(<8_JeHZrk$UXmYZY~TJ*X3U$(W&_b{k>7w3IFL2aX*{P2XfES{B=10 z7xDDN<4#HcQ7`d-i_3Q_8RFpo*+20Od)ZNXPx^;1;7<&_#{OgMBFtz07FHZ5msgH@ zN&ah`W`?ys`hRnsOr|9CKkGccWb?xnZW;VNUz=c8r1R`z$=F3H(EA+&-0S_5146`u zq67Kg9FTq5wdxf6-U4Ws1~o`&2*v)@HP(UKZ!HrTZeC8MYy`K3Yn3DrYs;@R`{OH7 z$y9;r+>V%NXl`BnueenA(Betdt$+Ka(*N*vh${Z~b;XGkP#B-E)%Tw<7pz+#{q-e{ za#UOT^xu3PKi1L1Q~G;W+dwOfCJM(;)4$($|2bEKyBhCkf$M*c^W)$8r!NWi#@W(~ z|HX&)Ki{ht^{O7G67fI#)6O2!CoLM(ET3%PKk916|Kan3cb!%L`MZ>j+4mxn|24nC z*L(f>;Nz2UuUxSi%Ilr#oTpD>+*{2r@yvM-{977ZPq{e(gev)XC<=(y>%%S>Wt0V#b3F~_fR8jk={xb&!OWQ<2AV22`qi*6Rpgp) zFbUY&YQ(S0V9z$hbB^wI?=#Wfrs1U4+;OQ6Hlr3p7EG{}l`SYt(-B zNaO9>;U*=q_`FvD;Lm`Tp2fj<3KFT6osZph@-PqPyr zML4JoR|sm4Uc*H2hO+&ppr>&Lt9FFhey@NqA7|WIlyJFrenu5cK|(nJ#2=2`D8(FN zFo;A;IXS2gdY;qWdyy_O5jFT2avG>!ROT8jy`G8qI`VlJE&e3R;no$lH3-;vUjyb0 z*l~QqE9c`@v4~>9Iw`e!&cXEj83Kzcc7)zO{(KR9Ok_c;*CjV3Pq(2L7I;Dg`u#z|PA6deEdGQjIt)|w z+^C|$6XzdX4vQn$!xfFkw*K^=gea%-H=!mLBSsHMnY9RLksH4HLO0|R8x~7vk?bSo4xAs=g3(G6lw~gUr_f}Qo)xlYPq^oPhy3()64?xY=L=!!) zG`^bh0&HGhxwCswa8>8%I3%8a>urJpE?w&=0hhc95^LNxN=PAGb&gv1Ox}5^^M~9j ziT#0CP`-trfP|;3iWxF~c4QIl_INc5=npwSk|)obOSjW`{Kjdu+hN%r$p}!F<8_Zg zeB9QU4!jRZ(!xe55k?vz1#(xq$&5OXXn2FU1)@+b?ZmCpC{0IwO8-rTA>{U3;jmHp zQ-AG%=)6>vyd8P^Y3)O;K(|wQe9|h=NrWu>lo-!n9;3tL$cjfpc}h4KEv9pn;dm}p z6KS}#ap6f0azrU=oU4DmG7V}Z82DKBzv63OmfB&u=lfKAqf2g0EkyqD$p!aXd*b4s zgC@QH{>)p30p~?@=VX=UhmFGx#mH>)=lX`n*AoII7@#au_2-W(SRnq6`5`f{M&a|4+UC??``Q zA55M+skio_^b{wE6TUB575)vXl;Oiigx@-obwIm!G{?{$okw3ivoX+*gh2!h`ZfL< z=Hfs>uHBPwdpl1Z@8445po<^ZJCnEHWpen=2?5P~?t)QeM-pYbCCVU_D>_dgL z&eq?iyz!~UFJlJK_-P_3KJe zTiijL7)W5{#CSu;`5Sg}%{(C{Hw&95@oRBq6Fi*v$vM0~{DWv=aK6T$TJtc0r~8@Z z`4cyNsDW@SH8fiCdQ)k$_Yn81{X1^E{aMiTeU1yj?E))oHC(dN?bByy)e_k~5kIN( zDc|bz_W=H+n+$)8MR6T`npRRjt_dDd=w{``H=T3-p!|}EjDyjb@4J%J2^%j$SOss& zxTB8%a4+!=3bJJRd=DXSrO#fLZcY#GOLC+bs6+%_7#VFQ*G-l|Z(!`pt zp!-#Ws2OjBt$b{=L48LY5W}+-#kecD3A~obr6WNv6q8**wP78{)2m)CB&l+kYl@b&p#~yT3DxCHy((9f%k)N1!V|DNw zNB+mTxHTJ3$f`1Asr>{c`vH=MFL$Ine@Oo0th)A4Vq>UE-V^DK8ZO`Tb^^RB2TETm zd@m8lG?8-VgjRq%_3)nhOF(swq5rv(h3nj1pCd#&`|+4eQ7V?nbv-Yg zB5a#`X)+2c*1ArqR*BkEI)pg3H#t)9C*XCBwr09*jBLCaQ(A=BpFYREKf$xt_bBnXb>w$S z*Pcr3v5^_`<^dNA(*W>wy{X;hr$2?lcPGn%AjqjqV2JnbuANclg#(vAzbD4{J54u# zwfGrX6XSnBw_n6>`;7&CB73p(Rs2i!c<$;T$n3W2&&G8%)+_AlgJjXE6xgSBXVfHN zMTT6Pk>JeM2C>A_muKI`Q519)(_5EQ69}LszAsz+1|dL@2&E;6!pm7D>-I2;mJKCw z$#zhFaCA|U4f$_w@Sf_Wc@Ox35j}p}pNoC+)!Tqtl-DrMo!f@lWBb;m58;DY%-`=5 zbwdk)dCeSZ!uvN>ZQXo+^5XyC*iF9Sef+uO-x%xK!sv?9x!bPsN8vI<`8F#jz!n&= zf*Pc)p8LU{h1_5Wn2thYJh8w)Mt!vs{RBraRISZvAGi$_o-(UofH96n5W!3AoF$aE z-`95sz+~>*|E$|(>qyg{N%cY?8f>&T8iDmaRnnelxma1K#4qBkrwM9Ob?n?W@>05F zcw*i?D*0NCQoeD0m{H>jJh}!`i-rLRuNIHw0E7G{Pn}vm>JwysM}KRUjc#zOE=+H9 zzq>(Tww$hG4dv?$^@!Az7wq(}>jvJune+64OPMtRHE5&erz$!rEJ%;udj*=Rh{8sI z&e1)Yc%ixPNCU7HjLSQkKhn}A;Ln7F2PBQyh--(2!_@rv>g8#;+=?&Ttc z7u-$l1a*;eKwvE++TTQ)eNgz5M+N+miD15=(lrpmla0KmWe zGx^#JMZaeHx3D)&IW%u_K~WS@ka=R@Z(GB59AC556PH!~AR=aA&2q3S91Z#WS;6eB zB1&pAk?L3$YY0$1^(6q~{_o;1yg6>A>OZlqN~C3L@5Ev?j32YZ*J&QUyydk?q~@Xb zpE(R~c6KYZy57h6tE#<`8u?`wl>7$IfjU*2XLFkZTOWOLQ>vho%r{#|jKN(LrXRD- zSK`phU#Dlm;8ec@Fum{*y0zo2FWzHja?F$W-WuYQR~;ExMugp;SnYe?HnF>4MrReV zM7>CH#?#TNdnL@3w-2@NFX*}`AiFyo%;3D|%MW-gH#W0B2^F?v_!Q5LwD2dPLSZ)n6A~31^J6ag0_a+b zTwfodAqMhqy)z&S+2a*w=OVq9I`+Ow=U2nM&*}H5=wDe7q5T=70vrKdqz-p#b>)}W z`|RF;_%m~&KL>^deW{XNw?{9`yI&uNT&puMIaFNt`<=pd5Kou9<>jBNGq`aG2IW)om=f0+!Lq8gkNJqrYG-L7wrkU1YNd1 z(s(OX;t9+x^rvmp)0Yk2Q(xyA{I>lg{5Vm_4EjRxr&B9@fL>oXUS>1)P`(*rZN$C>(6p4e*+rG^_E~P zF2G8b+bdmky`r6*gdC8T+sF~*)M3ak50fAyFkg&<$8<6MDgiqP9Ceso|D`3#Q|Cph zqVWcN_L>{HwT(W1?alsvk;b`Q8O{c-bW+nj`Ji~Ew0@ZkgJ_#m1jYiL^SyxOo8^cK zP&%o^Y+E+5>w9>8Nq%=^B7fyTfOYqBz%qrY?)yM4dM))#+KMUwzunhG0M?|JeKqW{ z)T?#JZSl*G*sFno{#L^IiPhRQcz$OPJ6(T8wVjrApf+lx&a48G(~yrV9sd z;_u(Ou_X*E688Hw0r2-l%(%uNH*;n(ebwx;z5w5*mL5X)-;5sN+y3F~j-3G@*sYT# zXPrN79epRgR|bLU@e;l+AhO-4j9sQ8LJd|zRz!aYiH$gV60Z%XHjv%0AX|0xTdYbG zi!k*w&K{$|YsT&|D~ny+n4QZ=069R$zhfYd28n7Fj??osTV|z;H6TZHx?#Fz?faYI z4vgBhU!GG2=r!@J8!ll>P3T@%Fgs%F)z#S~gz8VEEZ2@-;W9#z>i}WgzV?X`EiqE~y&(Q$Dl142IxN+)$QvrM5 zB>u9d8J(c`$#2RKW!=G>{(?`P5U_fBXu<0!x_I_~@JSu!Cl#9C7>)i1DeQ1YPIc3c zc!G&jl&>K&rW5EcyeieIJqU#@-%Q1KoO{VnE~|5+`E60~ca`E}tlzc=Fiw>-?|m#- zl*3D={65p06bt;6wvB>_T$KFL`WN<&H>op2#Y0)J!g-?TC_7o!J3SC#Fj|XZ zr<9|dUlbQm%t3U$6QN2Z5-SY6PS>gNNKi#2dSSF?cDW(&AuKUjc81Gc(rs0p?vGE%LA z$-_SFhkm+n&PqnU12LTd4n(u5?)=5{nB~Sx>1GrhvH3A(y`@3e>MQMRkbddm{=-0= zZsR>>i@2B}3OvU9cR=n!Hg``@pKWp4D5liU0$2aAb`>u2B62^9XFT4DU+DYPo5*H_ zZAnGkxvk16^J#+b`4A1`t5O9bB@~SO*uT(teCr7it64T3*hX@49EseB4qq-^QTE=C zH<-f&mfnjTV^Xj;I4d4Bb}!qf_BH;eFx|5*gU8Pv7FhDV=|C$zh3SfWc0>$cwyouV z8Sf{n*k1+!=K}b@yJID47A+Q}~H zr<@F5^uB%5!*IGOb#pk8z|7KWFA=e)Ry9?BvVIWJITu-A^Cv3Ds7!P5$#dIZ{JPX# z?XGlt41{6ZL>An{D1M#utlXshe%VpQ+z@%5u5R0re^l+Jm@oV0&2<49{S|3H=VqAh z@pGgnZ(w?A`P4A^)Kd)-V@D7Gl)m>@BB30DN~;5}4*|b+|IvqQ9OmqG@KNGhQ2BX+ z-Hqq`t7>H3E>I8voCI$(PHMioc><2~+BX}}6PkRT*s2smeJvAQ9Ze{hLkZ0{Q!u5Q z%zH0p`c8v>tJ(bL17eAJb+U4N6(DNaQct5Axk;;kI5}j(-c^=K^(%Ngy1=Qz({pHl z^0R{UduziwUCI1Bo8uOSIB&ig=E=`s_t(=uQwZntX2JKpn%NT;`g-1jB04w7d*4~Z zwz(D%Mx=DUi#KcfC79>=L3s*~ip9?Gx6au^3CeU>9D%ugVx?&CPhyxO+|TSu6}EBI zO<&$t6IKBQf@RGgi5r35U!TjcrtFY%xzoabV&_@Ld=LCnO6h)PTZPTZ#Q z?)9E9sQgw&eA@CS$yxLX(Z!;SkSdvAwIxz_}8gX`iwzB}yr34h04 zFMm%h<-Y&b`j^@i+>2#$Bv-(=nf}e`KScjKbA;T`jiQ5F7v760`pfU1uonmJ^Zz-2 zZ2}TP|N9%Cx`U>|PBP{FGAo{F60i%`7$diBYmEDO{R!&YKOQPt|JX1dh47a$>nwe{ zTEu3&{hV)s4)Pz@Ba465t8w12-?KvcwSh(1Sn01%%;W3-R*OuRjsNNs)1BGU|5yKP z`fp#{_>Y=TyfsCUNsu#N4%vV4)iv1cPXC*~_TPCey{K0Io1gE0_B#$Y_eZ_|sH-D= z{?qsD1+}TW|B(Z>OFa7zccSx!kj(dFv?q~^5xOTP0BFB;S!=DGFU(UiOTUSNfrv9! z$g~C-JwFi0K4`G|2iu@4N2zlyU;`49D-}qQ12IfEgpNew!Pn~FOqK^lL_kOI*H&Y| zhZ})!3ThD7DR4*CN`7;z$Hz-ytR0L0OFo=<>!DGn@2{TX^m=^8a`YPT9;%yvJpThw zs58F*;a3j@MCZ!#UBh&3&5-VNoUqm3(jRdcZ(>l zZQ7v>mmtSacCVJ0e?{$ZR(T9mw19tq`TM1!TCiyY_Zvh_;$CRU?dS{h$^0fulqE6y z=Wu1Lcy*L0?WXs+4TvKzG=oKAE+zB_hTV^_&d!s3UCzPI@15E5qi{J{d#VSW^}TVl zA4Y@6NLn~scmlfoNYab@tNi9c#v-z-z9!cpt zKiMtKy7QaUMCKbHAJO3~Bth#g-`4FG$lv9sVL#_hE8rtTA^AX=7N zIwsI^;G&snH~Kn5H{rWw2F< z1f`X&SRA7#&IIn6Os(?m-k)+eelS6@Ac$fPUj~0_X5O|>D}HN?zy^wt?!=QZ1=e%( zE;=gr_dPet9WXZXLuUSc&&3f8t}c?ZaGOUV9QjhDWPy41}m zBmL>0cZeA|$UJJq-r-?SV{oJoP>%MuwojgzPAEpB5A{V+TjCX;tb1f)z#keJKJ_N5 zD)whR&<(^-Di2o`|J>F5o?>ZdV)&ja5Ll8BG%iIRtrnHCc)V1A)NT%zAn|8PdmOL| zARM$x!S|PWb1bj^-jw6H29w=-Y;8(WLZhXdwH_3>KojP-N@oP1Z2jwFZ?~y~a(5J^ zTer!4!2{9ziKp~K5MWxxk6l5cN-$$DvS#00LrN8eh;1%h4ZG4Gf3)B3L=Hw?=Gjo# zuZ6%k>a%xJ51MW=15->G48j(-+RmB9PyLEN6GyaZe#Gh3e1#T-do0uOBS#-He-N9A zTfUh}&?WCQoun(*f?a@}P(k4#98ajIFP2`D?W*50Y-8rxh%b)_ldxk(^SLK{n*xr&y9hYYS<+oGYt>P`epC3R`obAoY zN^#s_)qs7pfbr?M;`ICW#^U`}?Gz?{#gn|&zVUb)HsS%FA%I6LQO^eu0ZAzugWlrN zkS&OmeM5h1yn$vuz+WL6ne>D{blmJ;jBiM+vQx=Mzn;-cby3v_a{qpeSx=~mKDyYR zDVbXF!*P5j-1D;ti9#ZCv3ctJV2iEuMz4ABL4@{z9=C6HMu%u+%kj7aqDQ2s7p)$_ z%guxOOx~kaIC!XDU<|mCX89>}GOa-?;t(L1GZ$k$ExPiTGySZ6Cqj6*ZW+!Kap$*G zW%!y}ihSBwh%u!&W~Q(|afLtUep7W|u95j%0mrDWeM*UUC`}=g<#ua=CiKT*mi#r!a$Fmt7e~m2v6BoBcJhzx09dYr;K;Y_u&Nz1ED%3?rJZqv=JCL3?|!NDG{&s)5& zJLNt)n)04s@@U>)@sLL4cqzo5JihzRdVZhu$gm}-sz=HpD&@y{g!daf!uHrMwCFNe z@-}ea7=fGs^rX@SW2iehz?tf2Zzb3~ma1u5}%zyi5G8xf42Yc1BAQ zskRgQ4QD@N$vTJTdT=LdG~?kKlG5KG6Y-H)4IJ<8!SHS{77WB(dq7x)8NsxrHeUI${A8HcTj4&=P=Ak zerZD|OCS)+MDU7r**o~+8{NA0N~{sS9=G|} zL?Sy)PD)iaDeoT#BkxB)%z(+#xjj|=@S288$MN2^_b6oc)0B^P%%+s(li6%!j(3;@ zE~AIMd;B=S#Cho6tl|8L?cM{{RY3+6_?^85oaD)UtBJ}y@=6hB!9Uc@PTy&o6J>9# z4-fa=?mIEwZWMGVT0b4=rN3Y62a`UFrtdG{N6=gBaa$zq3tEznLpp4lsLJE6hD%$P zBotTgTW8;&R#y3nzPxza5}&Cf1;_(6W)+s9?kf=?$(em^+Q zB&Ae?s$$EM5;LHv^mKEijhD-GAN`mrMd$&MKD9YmY@!qHyn1Zzof8r8 zeqwK9DT^D43 z)$f(yp3g5r*LvRzX{RP{RzXtcK+V{QdD;l9cJb|_0s#MSVSUCF0V*%tMc_%b*H*bG zgznFe__@+!x>hiC1TufgSbbYIsyYv{_nSlg;4+mGIQ(MQ&6nP(9%2W*QpI<_%ePJC zZh(hg`4)s{Bg@dYdzse5kRPvk5jERXuYj%`|GXb=9H)n^7jG@xRr)q}8F7B3Vz{@> zPBn?^dcwX-fupg1+i=U0%eR3L>b7s$_gUJT46 zwI(tc&HT#!aYA^})QT?&VxDl1vU@Of=7K(N5BYgIbfbQgj(_VL|G{|U0YNqm{H;@f zr&z(~cMh;!M>*fyXQPc=59Ih`2f;p`<7aq2C~(w5&}gEfW7 zd{d*V2xmJ`hZndRkBb`XSo}x`f{(Fz8ETD@3mn%)!j6o|vPB3QZXCx9kCGIjSCOpT z+bcF|558E^Y|+j<2PD+&=ke**(1*&GS#!`1XjhsKs6T2a_7ilbR&_jj^b=UI7I~LB zu)K_^wt4))=AL8N`W(N*C%;S1p{K{>By$~MnCN0nAQgDE9EeP~MRdc&8}(&M+Uilx z^h?2^=C`c}@oF6QJ@nq#K6dmojiiOwj~Yi)%4!3>(ke2tSAwL()(~w<=htG#?SN62 z2M^e+I>~J-&!=&G12_3nDEShUM;Xf>O>^*V{rnU&)jl^w*aU$VwBlzRgRfzR*3F(_ zHf5fkrK2x-8XKMbqCsf^ND> zIZc5ERcr^Y{g!UuB2EJQW1y@>drgNyl6RBeB7xAtl~mIzV7NW%_FbAE?rrcJq*bNs zd`ig~*6?e7US|JA$t-{04{kker5Kg)_U`T{s&$q-SGN_j#res+ju>Tp)N^=zV$Vc_ zU6Xhtsv1SnXGzDM1;_1;A>}BekZQ?1=}BZ_EI@+?&84u{>Iw zfhPuCJ-fulPnSa?`>MvfN>eLVWU*6Y0;|{I#G9OyK)>f36W5k;A4G>mQP8fxzn)ec#ENpSU4gs zCOI;KJ?wGL+J(lm(8uBx(U~k@RelQ~7X;OyGNr%hw8YQYAP}I-g%D zObQs+7W(Z&Yj1|y{=^h_6q{|1+&Pf}{l4En-*SNO^Q#IbD23y9wudz!*Ds{+Q1gw7 zHo(OU&ppPF^ib|Qk1uYtTe5LUD7imAthG1^g=MIH*H@qW0&IQPyk=A;oQoUYA@BGw zkgq~t*;G92vR-;LMb4z`U~SIi_jF?lsyFA)F6f|R@hDGA?7aHBJ377gQ6ZN&yo?zW zk$9`(F^%>vR9{ApOq%4H$+sV7{AWYHhu z7j64VW(n=Ad{@2sz>P0?T1N)P2$D!X&Y={PGdL8*=I^7kzV?l2Ep`qiME^LjOkuOX zoAvWWni$PlNIa!Zu6+R)a7c2IvGw+#vAr$Fe8=>5ssR`jg3mPBAAxiXJ2-~Iys?RG z+!M(``YnD5y#knjtG7|ItAsw4CmJy4$eWmS8aN%xuxI5wm+uq);NNEfr{9;hN9((P zzwUQ7-IM)61bis@(gT^5LwOyx3`^F{%1{@o)z8Mr24w(d^qtnHz6!t|CrEW7l5TR3 z%)8JCeaGf5c)#SMw0q%Kz659x-1{zt?zg|^-OG7(<`+C~spE)-uv{eBw+AI}rQO=D z_Z254fuQvc40NLVvkM7mjzu{aqN0`+775d4u=K81Qk1wFbc`7rgQ2s(3HgvU!h1gA zMr@P9r7aSh$I#iugsIlnV;T8Xc-q?*OW}%@#Q^Fe7|k%c1kN&VZIhmBdgA#FjG@ko z|8_nGs*%v}9Gw2;babfotvB1jt5`eiP`J9p3x@CF+@{ZJ_W+->lc4U|i zZ*}k~*<_y@yaOI>d*3fF{C)<94S2`2Sfi@E#^HR(+f=3Z42bbPri7P&vjPbZ3i_*O zBg{PISFY}H;XR)R=~pw#=?0v>6d3qPhPOU`5ru(m=yv~7Y%Q76KH4Qf2r;kxna)}4cU@Vi!uXY^xW{pgSf9D%N81|t(Qj)6Wz)# zLG!MxP5Wwhd+{8u)~ts~t?V?`HqiL)S1s4^s^vP=aT??5VcG!(Y^{#I9WnfTUjpzfsy zOxdwYN%_)qs)U>2kcT$F)l^Uaf_xI%3;)}E5+Os>RxWe9`u2J6U>O^pg4Cw2+#3un zc}Q}H^Q32`b)<**&2JjBPwrTapKbP~xvBz_9_*5cO?}?JuQb{oR4uE`Z4K9ASf&`O zJfVM_D!`kCeMq>Wd4zErOu@bO{pq=oAG)XAiUXTl;nBQVS{&%x2-|teyk@%H$dRHI>!A|u>4J3GD!nzo^&zo`s;4uumZ@Q7q%i5v4YZqe)5NYw0`1=9q5trV|clEhLw)F~8 zihn%Ch3H24TUIb(aro`w%HGU}Is(^@&tRr?vI!06V@4}nJ>}bhG!K*< zqD>X0T=KQ*CYuNMZvA6{)Ehy1#H-0B{}ExidfTU)JEGsbi&C>H$WO#(uUyXIh|41d zdzVkd1IV!nO0uCXOu5m|Pa@5qtPN(Squ@y|9#G)KrW#0t$a*92V5+5yMflyRId(S4 z%9s$yM5k?p-p>)=WF@}_X_EW04_7FvY*tsmeTu&e6qTQHNlzzw_h{gusHxxA0KX0l zzG7N%fW>Ju(lk7C@u``SWvu5Egu+Vc`~7$WR(z}V@pYEbwg_Zb*Xr3|lsL`Yu$$}R zMJYdp4@HmM)9gmUVGCSAToI!N4}!{dNESpY7{JKVsK15GQ#b@fWx!-XNeOw|E~YeZ z9#sWKz}WOwYsVWsTBrcjY>Nu%m40>kv1H$SYG>|q*;K6*ietfV2TcMg#iK(zXR;%0 zulovI^}cGKMcP3KZlpE79?EOVsb@ z%BeC-a3+6wlGM+~A(WG=0Oo(~YfI1aF_Ou|-EUyTUsV@EtCm8~C`=$OrY#ib&g89T zhNmdi*1c>AubHX+3SP2)?@y zBCHIWJdh)K%f>mXv5kZ{ljhljSJDp+#AoUq!oKff&t@UV-I^?#Y=fd%$82G=Sdv($ z88bVu%u1G?J;kAB@CPJIR%Uewz%()ZSydWv!}qxKp;wVw1FIfAD9Za4f|0b`RlmJI z>Q6D=&znQP_)Di47hj#9--DIKSYvOiuWmV}!P4;(-lH> zpDzvQrGK3#?G&0&vVv_%+~qu?)8tQR0VpkGM>8PQnWBBvLhx<%(rjCnHCk^|Cm8t> zupD@t7|{Ss;cg6W~F*GgkU)`>26t=J$$U!gG|=(J-yYc#U*6_B3|U@agPSq@mDZC z$BM+VbO;mw8g+g#+q*0uBQB;qeiv_O*xVnqMF8GNSp5PcaKJ{H=LGLa$u+nnB z9Rbcy#%l$1iB_-r{B!8Ds2^#DLohw@fq-)Rd;~gS`$!xIb#cWxphSMZ@)=gZ$I1a> zTCP)g&S1K5AA)ag34>|VQ)^xI`ve>@SKAntqqZ9dtZ$TCRuu1jOsS?c9xm+d362Qu z$r2|n;0X_Bk80X*m@}nANef0T{Dw9B?lT@TM9@M9KwO62I8qOrIE&W*iMp!yf+Xi= zST$h&iB2hLiTJvTE#BVw!`CECp{m<=(?YD1UvATv4}7FvA9M&b39@Rk0l<58-+`3z zI~#ilmZ|o$o(#|ORjw4?(-G<>kd60NJU)W2datk5YF3Zv%HH!|5qin8pPIE3a~U3c zih*@4{vd3$$CU14v;dW7_br^}2jKJl)G_^DjJPQl>~*q&gw#8%?c*pJ!-pT0H$JRz zNHp=vpUf%==TzF{pu=^jdX@IsayS?l(zBk8gHkaGK}t?^Oo& zB2VOZYL$0GlV9K1hz2`f7NCYIX5@3$Wo4m%V!ieQ-2}|N?3<-;;OvHKg3gDb{)*rL zS8bw|SC%8+jMj@m%f2w0Nc()p2W#&{+d*Vf#Pt1SR~|8*Kya{TT*%>h4r12}j4@BV zdM&3*)5KLce3tr$QQOY?tVCnJ@s}Aek15Ql+uBdOy}jwr%x&M1ZB&Vc8Ai2?j1;%4 zHtF3ookncX0Qj1pdPG~U@{bR|cpXd{JIN;5hJGz~=AdDf*g3G^`AO`_Xwc2)106-E z&x~|W;D+sbcWr2dm1anI{^aUeaAGsr_Q5C!{yviXIkRGwEJMNS&__7|Qo13TsQp}9 zH%L~@J!3i5@Yojp9V5F*SxxQEsBbS*{*EUJ>VD$y9_jRg`z5bC0J7yQ)0|phy^J+X zvB!m)802Wi*y@V=7aprfY2l3R`d{K1(^2fvxAv32c<-33Vv{u8P;ab{TL1LeVnf0BeZbU$eKQ645iyOR;<2y<2gpZ$5IMfP)V&{{_LsjQ&?U#5YgnD{<`C9 zKKN#Lml&bH?^tg?oj%XM$6iv7{T&m-L6R!vTZM+^g zvPxjr&^bkh1^Sq|=p1fyVND_-}3sEMe7y4Uhmg590q#FkGy6RHhdW1?G zEnMBve#zib9G=3!b2v+j|23D76DHzYWXs2*Y%tA&t|YRL16(xm+|6IT?$ldruJCau zV;Qg}_mMpS{nPmgxW+S@8zjP8nvR?zaKq-Owp8|cy6#`{|C_eyyn0ct$@DWQ&V6Jp zCT9NIx##Kq$}j)8`^^oIa~>y4j44fkOMbG?BjS~J&@h~6phWABSV+^+Ft zC|YX~o3FlKig>{8(joErd+pz=hC>CX&#U0^A2n1<`(4hFWIez5z2)n(Z3kviN&;q& z<~rZ#Up2#m{0QRC!gex2X|uQYw<|8!e9=E=9cQBp{>VcvIIj5tRCLyiZ7~3~#SAXz zM5DTD!Txi3=Fz2E-UkfB1bv-zL|#{EtV}98SM=jhm98_y=Gbz7Q&-rNu)x)E;L8iy zWRiCOI)ZuU+UJ(Ru%Q}P8c2W}<*GPt-kp?PvGP?o$rb=?mNuG)SvE?*m2)Sb(4pi1 z+O}zT+grK~&+FWouQu-o7~|+CFM0iQL;|N-`t>@EWc4PGP6l*i2Q=J;P#VUVy>b+v z1qAaIM$b6C%i#J1FdoB1u1bL$a{`+f16=;R&IyawNt32NVN>yY{wT!>osd`@&0w$E zVL!EgG|>K*7B5iU zpb*d2fNvjo|NOO{^zZqtib3iJ&mB zb)7AV49ySs2-bejg*CPBw$rNpcGV48Oaz8>O?6-8Py99EX2v6JrNsNGh0J8>R2cv? z{KQ}5z~~6ULDbGqoHuS@_gK9{T?B6HsmU~u`QPT_(lTvrgvXWh%Hlb?{pVwgaeL6k z-;?lLAyHuec`mKL#>2y6+0p;CIBDB%Z+a2`ZH}(_Z(_VXj`;BlKlRp6y_c82iFFSC zT2JANEnj`1@9$9lm&AYz)Qnbt8{_>)JrwaXPUfrlujLH0LNR~ZiuW(cp+?F|Iys{^ zzj}ezFk0MMhT*Pa86^i91yQ@mr+k0bbsdKoL*ide$c}OAy+;*H*y9Gl*--dQs$bhx zo34oEPhBObh*${X9`~PICpsQZSTPK*NZ%YxHitqNoXYR4XyNl2gFC}q?7`c)N;_SJ zb_L4U-Uo-wh#6Rg|6*b4^=%g5aAGBTuP37TZ>;J#PVElBJUdFD?59Y7J{BEP#kRbG zdOs`9y9YO9+zwd&v=ST~Ez6Lz!g(F~9fZf7t$>w!e4pQHhXLnlj36xMoo{ zJp2M?`ZOiTP%)_@yZ%%D>dz9y*;oSmX~=J}-Yv{yT1q*jSCfT^2&_q&+Jsoh|}QO^EDGt*F+ z@hjJ;6@zrgmR8>_rb?${8$g}bPjpCmx`0$r4W+@n@W$Cw629V{BOQNOGx`AjuI`gC zLo9(@*SF`b3w+x(A~pTy`FVCQPdMI44Vq}?!RC1!#}^o#KP?l9nMGFRg!CtKp#l}P zp?;(%T(P4Sg9EOs1+HM%2>3&|lo>cf#>!$LBDdVJUX05wFG@rC^F7bs#f;c55>Cx5 z!{ilj(Z?zi36!;@tMr86?QG_`W?B1~Yz@!ETlB|$!eyLD$F)Roa_&fd>9sbBki_ug z;}L48^5MAq4PWhzSditligMTJJDJ_GQh}U&KJJfoJE+|tQhMy4w`8WZk`>7Xi@quL z9q*$*@yD`_lq1g}+H0k*BfGr^oj9^X%DB2{8@wEvFxA;Jnl?FIm z>GcgvK>)kmy9~9hcHbV+SyyVYXZhRdYvTl{+^%at)ECl0RTD&YwUwiXz=5 z$gLMHic^KLZy^(}1m?r!Yg(y%V{+%n-(O&5MKnk-8SbA;G#kWRjHe~;IYe&>9Pofq z)8EA1e7&XH#QS!Pcw?xd2{TJzCq{O+H~O*fE)rpz-Wg!-#?f@8k;M#JeYG+QTzz*S zZ!*RF_1GRJmYpNU`@=Uzn8?nFX77wAtIuU&12nD}%*;_bWT{FRW!WAK@5F1^aUk|R zsrVah2fRz&w7?T zvsXdBs|Gid$r6d`&Ep=oCWbR;ID1Uy#!H&NCBLc5JuZN^xnJuO`*jYSeD8bgd^BnE z3qjy-P}h{7j!1R?zOHDk6A?l^cvNN5D)-~joY&ju^DfQ|9Mpth8^u=?KcZI|M9-M|=*P42ulB-kAajw;^N9Y8id0mmg=< zNRL<^dk7KtL^?Bmn%wJ-ge&>_GLKIUqefHl9>crW2Ap=InlTzF=10YB<^N86bQ=r= zj6gD>Q5@bC(fstF*IYZtXN7b87Sb%=#{TUns5V`)`?q)ag$6|6@TAF&Qr6*15?8*N*Sf(z;W_#&*)(UeR}f28_9@y5877Mx zq33&1)ZWSiEH}t06CN0?e)^6cT4VuO=S2u4n6*ca<3mLdG7gAbx`%AMR5yecr^QA6 zJzcX_`F<)0I?FGKKqYMutf=qtop7g{1l%U7MiCoL*?tS%yRz1d-K_w}G5t0j5>a>e zZFbGt`nH_;Op?+LLZ=#EQ*yJ|$#j9QfBB1+G7}!I8t;jDqGEw z#gO7mZeh*FyLeoo|D?n1(U2+Mz-`~gaV3pzoObWeJNp^#+X|UorAA-X^;!ycUnD)7 z^?GZ|3ZgY>y5nO}S~#8uK^aMyOhfMA(Y4yvkbdIEDKU{{*uu#Me%dnM624~%`aT&V zWYguv*sZMI%tv4s>X*vNW~CS=?ED5!YQotk&ZV>3RSK%Ie9X)%Ln{a5%G;^#JKH>N z@K^)zcTRSHQ1*jUVjt+%X?pv3dgoh)y?e_w4UT_cqLQaF9Dt*ty?iLr%_fgfFF z?+_Nvi*)7wdsMH(ur}79LjP!k ze~0|iK6ZvJf;kgTlRgY@K_g&)E#9G)tL#2`LpqWh;)Q&5mEL}a+?80p0P~p0gT@Mhe z*pSr}9RQ137uBfJ2MhWo<<#5W1|n?Q@#L?Jq8JwwiFHCqVyRweV1Ky4jvZ5dTx?pk+c5f;AnB0dYS&}t!FF&-~KpM zf5C@>R70n1?bpqHxWPADESmnR~`Z-o4-{ zH`LlkuPKCH_;<~CAN%qhp#qnl_h|-*V0cbX_H_WM9|VqwsHGI}=OBMz(u1Y9wAWRY z@UMb-F-v7&#uMk3!EeIXEoKlhhm5b!J!lEj;_7}y`%go?XrW!n%o-yj{(&Jf*BMdb zo+v%mBL)3UJhaWdjW$}_Z}nn#rN-otl6zleV-H8p?JedO?7@L>%cJdlP``{`F*p6ab+dF>IqVbiUO8egH7^INEKtAu)$^F6+vg5r`38ugj` z_H{}kxzz^)ztU`bI!~V4bI-LN63~7W+wDQ*&`~%i2{%n0f!?)d9gn4cE$gf7rh;#l zCVOs{{5EKGkv2$99xjPV@W^Q)F{%baFz{g_JO9tsD&k*PaiAc_%rq-()4$#Gc&mDh zi}3m*D~Zh(_G_6L=N(#G`>5Vvj8=@c0TEKF7gPl^*6`j~qXe9Jo|aLCJ$!9@Xa|L6 zA5ZN`WVkDct$k%#x~~F{=BSu{xyia=DGKdXpvTHXD|m4VQ*(iXNYcJQHO3Jl__riD za)Mfdp16FfS8c8cPx0=2ND1}x5!?YLt(0W&kXaA70f@-$(TBo5y5wl8PS=DNnyQm$ zGKWn_cT5BdX{IAt7W3mE#54Xfy7SI8&AxBEQqvv{7sLlxS{1hZrM4pgr%6x!q6@6;;T-V0^^TcZRabrWs-ODIohG!tvMqR1zxk+A;H8l@9AyKnyMJ z%LqXXZi87f_ZIB0CUCZ_Z-}g)hR3}9ht=qntl z_7h9^3?t%po56-NgK}%^YL_Q=HZMx*eeo?HZyNZ;Gsmu+tz%ycDapskhCe! zIc-3qGixEuQ%I><*4fgBja_atHi@c!FV>ubbRO3>B?a1*42PN)^$2i}CVdf_K+$Iw$PPM!TY_2iS8oQ$(j|}uZD2>Sz z(anZ8z*SV2>RIW}+`D{*-PRK5Eue?%|x8hNACd=%WS%?CT+O2DoLvYDlwT%q7=+yv~dSB`N zq8klA7fe)7L$=(ONAEA5Kj1h{ z(Pw%k@rf&gKjW^&<}3EbI?3J`YGq*ElGYtr;js4RXtf@G3eN332A7wxNZ694p8cBI z(k5CQ&Ik7L)oxMyUTz&%y@L)i(AN?Qw|;pt4aeIgdGKw<MX)RyUsb(y}V zS_OS0*#~XIXur=lr$?Sa;Hl6!0b6xvJBS!y`laOWQ6wF7Ps?{xY-kTLB0ctmWE5K% zt*8b0vyxz@5YF#j%*bl<JQW)(&u`~}0%5lwFE<6O0c z=Z>~Fe2xjMF~ajqRDR?n92mTJnaSCt-7$7qorN8Cg!DSmsu2JVER)2RTT_s)gKV@h zRvg}JBTZ)Elzd15obmh2cm$DVQrjh`9(f&!HS%((OnkpX0MR*oSge9%)y=|GFFKYU zHW+yG`H4>RPAzjmV*)g)XS!`Vy4%jYE-4<6lypqOEonQJ%DY#rV$}zgk}qzE5dB8A zGsXwa86;s*gL%=+5`bf8$Y32`=$Qlt&@;n_No!;`;f2Hx8xhXYC_eSEMA|1o)idnQ z8(<^^k!v{%?ea-W4|Sm;+IZh9!|QN|s+_QY`=>WsA7Yml11dDA`y_b6gGM}aP))fD zv5HQ!@qm%2p&v(#&*Ik+qChbFwFfK=Vb92?0TC*-5!%o!v&F#9~;Tvc#aqu3$N2k?>UdtY-x7i7uoN z`4tV){C4Znq88So(wEY_mj(V%k1@!kxD=Bt`>E`O-)XHm?d*{0mL0>$2^Xayn+RKy zDz~Jff48{m@?Y)VjA`#ETqbk}HEKHWPd3Dy?<T5yZR38y8vD4n4E^;L6F!)9=hx^%u#j<1mcCnh=oLV+8Hspj z*dD`z3Mpfct$Xk+WcxK&s9oFDBHrF8Yyk>{in04;%{<0DHmCKl+cSl$tj0yWlq2<5 zweS0cJ_|jER-73zhO>HT-g7Ry(JIE_Tl^KFiGJ!tuMnw-Kxtu6$4;7e;A8;Rf{Mr3 zvilyqq7OdY^C3r?3V0n#|1J=`Ks}3f1G`$7#GBY_e_2A`Ai#Gw&(i-s_`Dxj3%|W> z@nH$uf#Lr22xX0(F>?)&B+nz7K#GB(3+T%5>z^z;j#nQZHltaLSH|8>9b^Amp`ceiKdI(gW4?jv+i6lDPUy}!lVMGWHTIz=#p z)cP`5SqPDh4^(}3+55yqBRMUK35XLE!JASc;RnOFigQF=Y37|7^m8I)LmuM_ehqY= z?p@n60UY-kJU)DB5P@I@vNHmjCqM#ucsn54*;hh^PrH>l<0U~_ZjRR*l6EHVA>{(2 zpe2ZVM`qL0exZn7i#fZ;K0l;CZJAu{sAxNn&-;7h0guJ#7o<~<+LhPNt6JujuPy;N zBTj9YN5Kw9hN8@VAnoi>v^4;*89kuPCwp-Bu9cmmIXhWGwiw{ZjMv>Q99njO%k;az z&Vq4F$dBGl*t-m7A(;P~D6$BE#j!n*@IlDLR_de3ZiB)&N1s#atDduq)h346z%*EQa@by87dm<>eb_!d*Mk3aW z1x0K>s7BU1R}vPv0b|Hyo}lr9`C-NSK7Jz&KxvPrIeKZTujS!5%V*Jo5t(`l2g7Dj zG`uK488BQM$dy^UD8dwroXdu-)Ut<+*2C%BPO?ls9FroQ(VA<07{)ss(@pBGHJLis zx{4e$e#6~48amGp!s;uO2WCKzE8DdMEpdR2?C|Z@0`qpG7@9R5M^|*lfVlkT&mJM8 z3pyEJYG2@_f+Gmth5^QX1M&)@)1G00h$ZlwQ-hO%>#3hUhLW9Z&&n;7HeR)zns-vX z4fJ_fm22q@!OSbWC=u)lL`}LP^(=5(M3d^%;1=g|s}TSg3utQ(^9cZ{9FiK(^j=xG zU#Q0vxp=^o8msq*aa6;X%U{Fr0`%ZzhHzUQ;vH{E{TUGQYfil!gW;>JJPeeXQsyPd zXXeS`8hkFLZ!Xa7F06|1lA5?}WeAQljQ?6P%mV>SU$1`k=;8pMs#L*{w)tmQeSNgHr*DDnU}n!+;Ms^8ARatC$F)M!yq$*i3N& zP~T?Er+ACGv*S1Jk?GE}(pm;bfC->+`VnmM?YMPpV!Ur}`nCyK(;4uDk%B2FtNm;Y zEy&*!e4nKAIo)cCD*)QZa7=1rL~-jcJ2l0MW_6TU1;eB~UlPk}i)MtvWzX~8xz2ZC z(q`Y~T4P0r@68?51}L+w*ID>)VooA2 z79p|Xskwy(e6(MYv-X_e?&ZDTSYqSG+&t@c>wMM;a_H?(ea1@VpdNxnQ{z5C?Rn2; zuYzN_?6{TOKWs-MWC(P)dwq^(6m|o{s)) zrBx;i?7KO2#1s1Q5Z*d7$!(!=CrTG2PTy&g)aFv>hi;NSx`G1$(C?3tc_|U*Mq`@g z7{lD6lGeW4hSTcFw|bqX`a6}OBGEoMFgGy{AFX(nP`Ch7K&-#eRrNi_ZG>ZBEQ!mm zMIMdr#=y8EjYaux^heGXFLuCr+?SH=&A>8WZS5U~{m`<`Gu3!8q#&(I=ENk^JC_S_ znukWl@uuy>GC>dw0cUZiiKgu;r$Lw8L`$Jv_fCn?(Omhf#+%LEK}l+GYr<~H8|PTS z@~F&Jvil%eQmU{0YHgx#5y6`!=X@BZLL~lHxu|Y#S%t$)jNleZt?&X1B^eQ9eBRb* zO^9Lz(}^DPcYM4?117@#Tz05C#D`VNYc?63{w$x?#^St; zEj2ea{3HVmm;^NaC}IdII^DYwKD6v+7#)z^2d4m7QBr8beIF#z$_9)d=8YHK!P zB~A9%6C#JlMm{iyd)%infOANFIEWFgH!913z;gpXL{(^5A{hSDw0%~q*g>VBTsOs& z(zXaz%as0R+1r(~g7D?ho#IF$`Z<;3?nxNkKfz(rG%}vBdB=%AVBb)1eLun~Vb~|`E=(^9U_d#=) zDuAGt1r!a{zZUwUw@ zV~}(HM{K0vG@|i)EFT(*`*g06FCgMyZX?)#ypM|b{u9VoQnN((qc=~V^p6~#)7BHe zV#b!yT%;FDM?(8Yyx^$5(qHj!%79pTyZsN|}H+8OtM_2 zHF%5M7%WOnp?{ZlnY9x@MYS)j4rN?tc`pw7GBN$MZoonzo+`l&ZpK>#1zOL&|0cic zvXyu4pLxF`(C2v{Si1z$|8fV^rJUPTw%?PcDK52)b?t7XiZSIgv&b@We)UWGB*x7A zWz5k=F#kIK|CRSki<-8{zc+1J4N>~>;cgUtkXgCXBIkOVrW?TlG!UrWmgsvBj%HYN zq3|*Rh*Z=sebv=vS&~+^$DLdFFZr-?LIRVG#G@$7?R2-+Zg`Z|^LyMp63XTq@Y?y~ zuJWJWo=v9?8(TBIlT}Xm33^;A1O(4KAndo0w?b7@^uTS?SMLscy7K(V+K=(pR)W{n!dqq%FWFR3$Z z5=2*;4%Ql93tbYf1ZenTfj(=;6?1+i4QsD>3 zw0!*c7%h4DM503$LM8gAe!jm8cqF?V zzt$|8c<(y38_D`rN#{og-jf1QK*!HF6K}52VWl8a*)VvH!4KpteaNU- z%SFr1hZ663s++w!#0n4}c$gj|r!7Fz8kt&ebcUuIo;M(QwSc!c?p=l3pFHSSRp$#T z$f?It!?GT$VHn3%U>W;>2R6WypdkV<+q8nmo}B7AQcXpgCV12 zi3;C)!YfXvh;2TS=Z@$67eN@<`Ous)KT~}2#64BM^$*7(?QYDk9%zWIrpFVYktKN~6DuDDVI(HiDUdrbdz&l`)&IpIj* zV48?kZKokzAqL0Wf@kG{b;Q8MD*issVv7IN^( znGjd*`ZCaEsT@U&cGj!zMh1)+7_aq%J-&)CjoaE-w<51j6ctshdeFbd3dl{%7yCQs zAA=}W*m|_syu9u=Sz!v_)IF>FYE^*6UmORfY=cV5`X(ff1G)T}^EXGT1Pw?wz$ViY ze%6&*`auF{cm~{j{-Q!J#*Xk&W*LG!ukC>>=^4zFyU&0JOp;WfQ1`_G>H9GpKt$RV zeAy{4!O4B;#;m~JGi$LCNzE+QQz&vDlb(c&uwN>J&?~Q)8|}pOMk)#&XA(SZdq2Uw zmibz@w!_uAzVnhYqpj@@nJA|wJYdVnBcGf;|pgN#To*s=v$YN8E#}SVeJHw zY!sO+hN zm~8JryMS5~_9HUc1jVL-9)|99-{WP!>aFZtCKD`QY-B+K+}H5IECF*m6d!ewH6q35 z>N=}&=LnrHT&q9O`jZgAPMzF^k0(jyZ{6mr@eAV|CF|R_;~$GhkBYp<-m@1PE4bn*K{uUnc3daH?0*`ZmegFdUg5-}9-Epz&t{+#-o^U*O02+bm+)mpaz<$FH@| zGiH?@`DSfZo$Sl2sq{ODS^b$ve1I4R5SE2rqu2Ca5Jyh0b7?|;YXoXh%B~kiC&H<_ zq|^nyGVAlWo{P#vqoJ2?N1xtUBjY+!P%t^R=U@p1`iMnhRUD5!Iek}1eO(4jN$*kp zs=F1yOJ2S{h6wCRU1HXCmg|@Rec>Z~OrMD9qnb$FX@Ogv+N*w@=1sBRPS%VM_i9xjqMO!0(}94!fF0O?zBWg|FzNkG z=yeX{zRZ0#aZi#zU{8VqfxY}b3&UeQVao0H?RD!3z@_B^JTh4ThqN+FlYTsI)#K3W z{gIpTQoSE`ty{eh{7AuHXR^}uT^R?$o`B-u_foGqf`!)u>R&ozksI-FhS@3n)hiDe zUWc&<6MJX}86)nB!WkjYfr5>LZ+%g%_CcSO7RbyDIREEq1#q?kvY*D8xcdzNbUGM4 z`A!=;J-muX^SSpHG@@pFoqJEjj+Gz$2{VZPq%V8qq8c8Hh2L@7 z3RK~qc(^Zot{0sOz`eOqUntV}_GsG*3|EGWY)8GGZzx}-aG^hIv_jOpdfBJv?_J92T>2H7fe~M+kjOlMv zd8WUi2!iYkg8a6XbMYJY8@H#^|Lae`U;FQW{ro?FZ}Cq}I)_O(hoHIt_?Hj6W$u^x zKg>s;g3teyloPn+@gIJ!`?=)*y#D?7KbQY$>XtE1|MED0io0?A4^23a<^J10{g#z= z`j6K~fA{bH-|g@H_|sqC{qMgSbvOSu7wK=;MQI(*W!L`p>+65Ltgq*P%znD~ci_j> z%YXVi6#4t#n1A;-txoOqk3|~JP1yh4-#o>^_e~7!KoxxvG`qy8|8qW*zk5b_^@?Fa7?BtcV#$cT{my{Z3lLVusm>6)Vd%AEc0zj+uKrsOw|`0cl= z1JiG9nuA`h>2GUTFX?YtH~w~@e?N7!|L*_zvxoipx4-}G z&mQsTe-D0!dpUs%(BJ;u|Ky;se>*575{77;690g*4E7HMhEx9#k_q(>2uk22il+oZ z#s8u~`RT=f{9X3{xa`-j;9gCbr*Plq*DXuurkfk`lJf4-Qte|Gf}MkRCj~DZsN6;pMHGZldHFnSfAjH;RB<=W5R9Vp*95Xbvb#Of@r7D zbH+U^t^ufo3>dF?j_1`w4Y@7XpB;XG3`dEl=iJt^U5Epq+5KZ2zGhQ4K}+_Z=t_FG zY7P46AA>AlI~5Gjl%&q`3Q}L|f|q+Cy+Ef`>du{qc)$kS?{hEFl2!438l4$Wq$Dby zZ92!yNw;xprZI_+`qv5S#=e0kf1jr9rB|OG{QSvvc6*lM|TtbE)ZgP&i{+Bxv^DaZ_`am57;st~~Ox}=h81>X^6*>q&tbL`EHhH@ep zhBku2^bP^~eJiiv((R$NPz=+Ooc&EzG}iXJ7rCXWGct@YD^@wkhp8 zAik%W^2KC8tX!i<273<}Du(ph$o2t{!+y++m({Yz5P5JVvCzXt2=Zxze#Gy2Tvq`2 z0sYRh&bqXb`6i zodMH(b&7ydSp>nwu=D`Hvn?2cQ?o-u@$GGUI}gLm3CmX?AVJuk*X5u;cfPfHkVw+6mHORWF|2(KW3*|O@5YO(7$C>6Lg)icNm5hn~ih~ZVXPk@$e z$8;_Ne?-~=<5vLmdG6IlFo65k`CeD)s{dR>3lmI<(Z zPfXJ^5wEIx1PqWj17C%j2^jQ=fF7kdudC%qKzb551C$O{4yMS-xH03HK~UN|M6EJ6 zLgl(wIlSZw58(x0uQ|BH#YD0dAJOWkV~J)MCl0}S43iKA!-k@CbP0GaNl`BWtIoA; zWxecQ?{C|}5agGS)UZsG(!1eaEDMBTkn!@?edBK%rB37P&<&a(AOkcHkY>As0YP^r z2J^_?i#G+j&4X^6lY2!(!h0RmqeHINa6}tV7zE95vT0s?BY}>6-|79lrhi{pm{Bvh z<)@3pFxK@Uli+Ir=JsVl>fRcKF3WA-wX&gK*(WAI_*2@WnX4M1Cj;5dWZxQzqkHmdSzIS_CPUdmyej z%@Um;%iXoplF6cz#KJpH67e379s!8CB>i&xeCq`5h<{j%(`_YlmNIZASyUW=*FvqKoB*Slu6QUzMI*606(| zi`I4R=O~*Pmc`!Y*FiDNb;-a7yePh?)o`5n*{Ey_!wU=t<2ujvj4`Sp2iWS36E-tU zURBq3Qw+Q)5*?8C~-Jnwv!u1cZ9r-jlmO9^xH(0o|uw zVWKyCcCFVzZR-Ug-JstU#^(q#0O9lYC1%-iLddrcE@EKN{2-vMK%-Ki8=Wdu?~We9{l2)KLJ%;Gfv!V{4Mv_J z*=btgsw@vfna1i`SH-B-<_Lo&uzlu4+JZ!AMTO|y(?0giz zEX0s2u~#WH+0r&fnPIF80!0I`y%ly9;M96ZV`U1RBYRH`KIgN@xeA2FaLi8<{)00d zQ8Wc0&b;3NT`GzRT3AMXC{r>o3*wNeR}1EIQ6wOINxHhE=R#NEREe*TKt5ZYg#*e! zuLZi9fj#N$)IgPPoN@ID2GDbZg)GZ}zXD@}!f~qW+RwZ(A12LoEF4Inw#b!vB+cM+ zmv|P+9&rX!F${ld;Og9qIQuhjP0oaHZ(aN~U$FbM@U8S(pigg1w}ul3xB^nIU~qHD zAobnG(~MmvdU!!Aj`2xlq7Ej$yEz87A3~gn#!;sL`mPB3Rh*S~iAZN(hk5}AON3yf zB;a)f^9Aggq{k^lkxUBw%vq#a<~d_9j%${sz?Q&SN*chepow=S$pOtZA3h1<$qin# z0X^5Zmo<%>NMJn4%xD#lAfssf)))3@F&u%Y&FBsHP#&}A;V9anS?E#_wN!(v05iBH z5>ulrw8YpXBnuX8x6iXBxMe65W&D0G`z(XeN->&YLl%xaBXco`6$6;1rL?k01_DY_ z*U-nMY0vX!`Hg6N1AP8V{H)~(R05ZHI&hs@+OV2kE4x1lCxdD5e8yF}3n+ulEvww_-8%AiM+fpsSdW8CDAuh%@ZI zU;@mh#+aV0@`V>&1+?j%YkHX$_!tI&RIWn*S_da}i|}9mxu%=Zbt}+667n^SO|56X zJ?v1IZ;katAl=BaSS2qx>QCVCo*J+uDzMAIsADxEL+lGkHn0n6Q!`AjXO#+`Yt{EF zS?!`rl7uNh_PD}nJM z>C6B!L7)Jye80e$l%-hWQH?Pd{)#go?@SEFb$j2gBrQ^iGeK))_Xv#XGV6Ni`ivd= zO$(qPU_@ruK@$w=cOH8KeDu6K_0#-rgs&YKXg&-zZyBkp`21PX4Dn{$)m!lskeLK) zYqmZIeOjTUX!{7qN0)6O@XG2Sbc4&q$SRhuR!6_)40cBs(e7{eV6G#jR*w-IiGaD7 zjcL(!{n#!{@$3EzXe7m>Wl59fO0t0I&rw()dN&;4&oG-ezsHmR!QRJJVV_Szn2w@o z0!mTfR~_wHnXZIwSZqDN=L2tn6n!pCaRA>%D|`h6OFAzZ2{I358zxCEZs6MH_h*ro z3~Crpd*C^i<#TN*qoD>!Xa2ehThqZJ%hfcGAy$P3o)k3@8t}yUwB^%!asU$cCkpHZ z05HHzM$a{a*T{9j7swUWMrY-;lIhBmUI<9L<#!Albi*imS;kQW2QXUpEc{Hzav*T>{wa34;X z-Ui3r-#0_x!N=eK>9vP{?Y1B9v@i({YgVnP9AI1Kh~foopa)8CN0h3)?n)Ytan=4N zlONj?kbtKRvW&gXAKr0o#$9V1p!MkC(VaRBz}=)jLCaF-~g4*)=Jk9^H< z;PcNz21Eb2E@OT!Bk~yZv%Evx-^vfTY`ZRNf9CA-Pzdh*&$OLPwgFftS*6vL;D253 zq5^#D=rreZ0Jhv50Iql{td2(-LI8#SbOSYy3|-U*8Htw;byrfs3Sj8R{TFY#uvo!UueLMgi^w|I4Cm7?JPOA_IUEL4_YH22{bN z<7MxVNIZ~P$>i@Bfu&V$Pk#Y_@MM5JlNpXKec=6kz+Nq$rRgWWHaXr`Y(v$9wyOqT zUsCZ%BegM&42nsd=mD?oTC+nkxw5iU5*P?_-^|5%FTOxLRAcX^buDrn_e|@D8&)(n z`LOuII}`9iG4N2%HACT%ypq`1!R>4%wxsKGElKha%h-BeM-Lr znfYpZ@i?J%g-Pn-_BTrec;M`=1ULbMA-UUH{nz2&h_SE$PmUOb(;LEZ^4pO8Aqy@l zU5B$n zitEp3PBrkjq7;0ti&OW(59VxkphLnoD<5J1R`^+nerw^Ri=V@3QxYz4G z^F4kd6q~Il;MSZGD)(u85p$Bv-+IQ+gH-Dsv2D-HuHY{naPLz$09PAcO<%^~{^wRc zI)bLh+*jSFU_AkB3Mqz}E|CAMttSH+;g7D>eF(TpeXWJx<|HfcH*`Kw$MH;0+~Z&e z-)T);+u|!hU6n5DdXhMdfVNEw=#XYy0e4TgAHv}^jrXmwg3k8fHALYDd(H7%1+;?! zLwC|4xy%4Ijp8NBA`AXukw!+f#4~~Z0^T*Z{v+^;`zCyk( z@&=56C*obK4f-;cq~4xf(bRKzuh3VGK0~{B-~jZl*LKD{a8;D@51zz^btItcI)54= z%aVvl#EKpIe(EZlMLwS3c^;oQ@Ri0>hLu~w-+{xz7q{H6VHoAxoB7xCqyOLZ(f>nj zTgc0JbG;;zUxr*1ig7rBZv~#6#511gdhG;oug~)&{Alr~m7&$BoaW?KC0wgC#3(+% z?VdXaN4Jze(7rn1Ckn6=&pqyf9(}q0d;41e51_O~F)t+tY%I^e4rZxVWn;poABbyj zWLlFeU2@asRN{^kcr8ej0OC^tN2OPn&pE9SnE%Nom{7Ya)mmk10_^V*Y7@0j=)n z&rw7pC>ZXr8^Y$<0|3z1{(=W{b^D&rG1D{PMnoEL$ab1M1wh2|;VSj!KM>%*u7Kis zqkeo@97+3pnh$V`T&3ULM}+~eSHu!~UG2My)>xS}V`sLkhM`NmSepEK`8?CEAD_$E zL`k@U76HMYJ@ab`M{kc9VSz_oJ)DkvfT1)bIpfw?s0rMz!&G4R?oSH7n=K~u#pIml ziFhkaqa$X#>ic&Olh^k;t16yzHTM8mV2N}^j?z^CaLi4IJs_I`k6-EVuE4Sq5NN!b zfA*~azS66Qs_SJ5IB*zBe6ji02A*KDnTJJex(-xx4GNegOT6~7v~i^{cmb#fJJnfg zt!@Cg)l29riI0AE*k!L535VJzd?mc4r$0A)06@-9 zG`nS^nj#L!O9c3=ccOri?l(tFy@IIB?(|6`?vxL%c@9a#Z-D7uT&1^`e$r--K+j5s zXP;JpPOb8_o-dzPmdOu*nVbA4F#gAw|LoOJiZXT`v}UUe0l?+Ov^~Lx>@v5KIR}QOA6HB9lFzBoklru6oggDHR0t=B!w@?@7FD+jS{F zHNdnc7$wZE15dmHDT!vzAhd_t-R3xzr!TBYPDe1YEuF&N@B^4oG)`C)ZP24##*X?~ zukT34z2sK{lswITd~L$n3EXcPb{mxj_Xn0Ml46cu-0OA%dqz2~QwPDvt<|?yZWH@S zlF!l$2G9ANuPqPx?49d{^Ck@EVFsgS2M8vrUVB>49Ll`jcF@>M`%Sw7oy{6t9Ln;A z)g0j8+mITDW{_dqg|6o;awKw=e82b-U!U6#9{B$mpZ0HU|BKt6?-c@wVoITah6Y23 zt>-l0D8{rNJBK6iefm`_g7n-7$ilaP%i^HQdGs-00||O$msoW*$s1!lg`-L0gUJ;s z9H2!m>+)>rPT)NU-|%Lvi!*=JL5trPz>_@p{Q3K}B-@cg4pdYO&g}<7{@c9%uhsT9 zDSPN=9pK@|v9RJ4>rXdsiv)m0Qb|}`MQYA#&pE`D0ev<5aZt3WK~R<&0K-7~wQj2| z)8x|r^s`QbgEk)DpEjOB5)0R%C6>aBi?=^+8YS|~&pOX3qSR~>)X=p41bh(y?{or4 z@>o^f(Dbh;(+e|6B{|D7FN?t|VUnV%81EqCwd$Xme#{sg%^3Bw|8n_N^-MU;JeSMWG{srD?JyMcfQ_hc*;wzl<%(y3 zblXO#>rmzuluH&llgT-NG2O}YC&SPqz%^?n00?dVJQQ^;YLt(LcSfh)DJt~#Yv2B9 z_pi?w5t#{42c?(Y&!NttT$P;(nHbF9omw6gvRPrmu*Ms?lI>?#umkicr8G@HkvrB% zDRbT6*J_P3ka6RzEzM{xoZ%zQ zE`DQa0F?sgpAuN2SMSk8uJ#|O7|B0tVUU5ZFw5fdIF4Bp2h*GOhUb^!bUc8A@hw@m@vzk_V1g5U72!PV76O3vk8!)9w zRfk>sMe_T-!F62%`&oW|IKma=a}|`i){g)HnakQ8oyBwA=$5~Ok5@A(z%)8W{^CZH z-K9D#9AH?S1pwe?(U)bRe&QF%7=Hu!GL#7fr~lg6$q^F#QhsaJiw}x;qUp?u(P$b= z_}3a;@UO+!!98{qGq z;3u~Cm{z5uUx!)-Mq8Zg#oM(CF)!P6ru7E%SFEXXyX}a5#cASpw63u7dO=2bWg)qC zZ1<3b;dJU=$D&NGA@3I!!IkkR*5OL*Tx^P19*--g<++nEYzPEN?&rLc!PTWm5Y4*r z0;htA;a>f$9q5KE2!~NdNW%Vf@dj+3EHaEgXBF^%*I~5bH4No=VTiCbV7yQDrmitX zC~xx4YMQZM>nHnWUO_<_&N8sBX4RRc>0Oohonm$Xny;exz*{&-!oLL_*mGy14PXxu z)j@j>KT_~3=qD?d*PhL``%Lt$YsYp}6YzM%y$%olJkNXb%qtT5Lo$z2k*eF*+G9X( z(>a6BAtSD-)h*=EGwJft67UljXN-cta~!Xx>jgM&8$8%Or%jGczZMLy=tK#8Ag_>`CFBL z-?NF(x$-3ihS(6Q`r+q9_YgJ!H;n|;wg8_c8+9GZihpoS0LBc%kQ8(Oi@hSFjDPJ5 zCO`2`xR$PK7KA^sU95D)a`;zl7qJ1}FDO5Ix9nWEEn5J9fLAXRCOUS}5+4%Led{)rcajIJYKJ@atWG!xNO zKi^LPpz3@8F|*g~(}YbwmRD?VnOz{KdKV{Q0{{)4(HhXtiZ@0JWHJF>9P##@q@&wk z*EvuW{BBYy59Vl7gBgJ`MtqFMPh7$M@q+m8kDBYp_;0rE|6kiq3zNFI-h;W96MpNj5ASGZ1nwZQ~ICu ze>`XYedm%^uhpnKu719ig+z)XX)?fPUwq<8jXHj>!$ABy8VJO!vnK!HwEsF|U)(5B zzA&ozd|&HmZ04bbNmd-~qO*%b36gxSgx8lnO_L@484rPUuWPS;=JFZ3_4j2=-|rbr zTgP&F^tylhG6Q-F#dEHL`v7|?%bu^VUy7-3nYS~5nIM3geIBp-G#-rh#T^#Fe4T;x zmts3?rd<10Qkh-+T9@%VmB=wtpPg+1GIO4Ta06DkeuNr>!7mqrvuEnmwhIGtaZDvb zSu5x?uu@llkmUTx27@uf+ehWhdv~xEggZepIDv$(jLf_TN7(g+)rCsxfMo{mtIgjX zbGxP52mM!&X)3wH0&gls40(iFj6Vjxz-5u(7 z&$~-jzK;Ty@cP5+107PbOz}^5HT1^U_vVtR_x%BA5P~KplX-f+cM|{8_vju&B$ct5 zN`SuJkoOg2>WCkEd7fD{bl3TjS2>Lg?Xy2J`NXD+HeCy=(PY9B!TboowVEa=e6%}Q;HaysC`)- z_|oUcZ5c;^x4ymdsWB}5EOy;n4I6CM{kt;PGsh?pWKXu>=MqQs!(m!nzx%(>{c>Zz z5LsR4hHPh!8akWDgmsNE0YCytu7Z)rykgAPyV~MJ^a%{X+_pH1;bTl+eOe`SWS2A0 zF-t8AaG74*hhZ77$VLqG-={TfSK`g=e%T-Uin$scUar0V-gSy`#SE!DMyR>*eBGC^ zBtYki{@Ulb_I09l=32J`;O~sXo=i@+X^1OJUo5VGyubS0LP(w(rFIgSey-*yR$FV3&_>ipRs~E zl-K=4MUfT!Dbdzs8Y6OjqG#<1Fphknj+i_W{?Oww(xqFsgvP+{U7(+!J?gT5ag&vt zX*z=Kx@U#4v}@X?P=f9T8^8j8`9|Xh;I!FI>72 zH&+72ne|jIb=(b7+IgPWvg@X$tgkIm=LZuzD9a}Pmgr~bD&qIUZNB=_OdrvIbVY=p zYqPK>dV{=i{Di=II3_acEvI#_r-jmF>2R1QPo5*Vt2YraeP{6&TQ!HAF-9>!aCoR3{7CrPi9(d@d(4*A27Eo6RtvTQ`k0AS}=vR~)1 zfQ%bW_3nQ}o}y^F8P2TL&iH)e8k9m20L#@2^ofqfdjNRU+U{2YViNZtx}jNjzu)8- z(zD(j%Nu@v>WqZGn!i72c&Bd+{1K+d$ilq3w(=$)scBNX-#MzA>FpDcEbsAiu0>&2 z72W0TE;B-IMBT^OY*Iqkh^EP4*stYWUWUS97 z0wdFrEX(r*@fz2AlG9W8i7zaS7W94ostjCQdts?J*Kl5c$mk2dtL{pOz>NOfo&v8^ z1Tcaw{&T*^wmmPf=yb)*7LI=Q?N{Gc93eZjG|Rf zqF8wa6;zQzLF3>rJeQlx@y0KQdZdmU(WDLMC>6eSt^<@Gu1pWEW z1923YhFAxNwTwP$8Ww^eNq+Io-Mp6TVL*InqH8XD-XE1u!uwQS`8IRlU-S~v=Z9o8 zKH$>-OYUE=_X_9GsXUbXqm+s%x}Vzeg$Ps9?k&7RuAxk+k&w;SBM16CBD%QzB`#VTfWo(fU6a?o>-kL$ zL^)5QGmIr?^n>3<)woX#^iqyx&7nhiEI;@ES!+-|u{oi!N2V0|d>5r7iZ=lqBY?lJ zJG0WH0)J&7iz|GeHsdcb~^DQ>2`R80X zl}KfLov%ic%6DJ)ejzgqE;jpG!;X~|Me9jXy%&zmv}YX8AMPBd_uCB#FL+XJ5AOC8 zKcFLQG-h_&B3lB{ag`COc(a{7?44ojkTlCoyodOnWFfsH*eg-%1)W+iOZ7O^WfL%Y zm}MSzv?SwWDo?Qj#@(M>6<>6iq9`!P)A+j1foYJUstlxlKbmZIOlqWxARurIcN*qH zcyK#2pmcg1tB|VzfA=m8ln>1vn(sB>udYqg7pUK32H0}22EapOkS2TzcT}L4Uk1&eEtaAngqu(ZY zJxMHF*0sM5GMy*ppg8Wh-4_g%l4AT7FFeC_n=$T7Ojh zB^b1UzmkmUXN@PLX(@&q7|(Af{J8cs8WP>MyaAmFBW!*^kTH5INows$uqpIITVdyQ{weAVR2g9= zUS;c(3^Wgr7yP*jr=RjYTHtG3O7++Jk{f!Q&XE2R@>7K*PlTVP1yh;b>#6B?$#a|8WCnO9Mg8G1q-`SXDXC*T*a3RY?TSYtTaAXAP}Lc2XI?AqmMwbCd`eTFGH8vXH4AlKP!|c(9q9_cLRMDE}`En4k z{_D(gdC5O++&^jjy@4qf<={%7*Wh^0?eN1Hz#PN^MGVO~1KT;unIPE7S43Hc0S;qa z^=Av=`E|DTD1rYu>w~;U@bl9HnMqxCl77~X!S_}isB)kias{XEfKc1w;oBUttdgzH zh*J)nlK9Fj5EP?pFo6Cim(1-}Cp2`AU@Tk#ah-OGU5L`T zqu02$md69eU?t8E`Z-CaMO&OfpES5UbVT*=6^=JY4&yz*p# zxv=O9YhLvy!Ej8AQV?GxV|M#O{tR$vFJM!o>EgQ(jIS9Dv&B5=o^i`{xH2o8uz&F9 zm7Cze)5}HzKVJ(@*Lq1ec3yUoGBP^RTnd6Y;<-y^1OX6cONpgZG#LKqsXUoZF)Kc z`4r`QRqQOQr|`8guH>87j(r~h$DBQ}wj{KM?c^WZ_dQaB2XIP%J$}v=UUq_{9zSQg z)lif6Y+cuR0k&z$av!J!-?r_%Tyd7TU~Bi`%|g)KG>?Vx_BRXtNN;1HLQmKl}a}z`XmlWKH7);YU%I zJ1^9?LtR;VN`-GkoFsL5~`l_=3WnZ~`;J;FWNMN+<|s(ZS7Z};j)fy|7INE7Buk&Ik7 za6zC(5qi5By~By#A<$Xac)EORtfgKT6lR1z$E}a*-G+PU$mSvu0b`4-01f>pWYR_2 zOij~taSEy9G8P2fJ?7=6$_m~L^t4p!l}fBEa&^6QSVMda#(-mjh*AJ$hanvGIsEzvh(9(w-ORJzVV$e4j*5S%v9Ne+N>i-NJk zq<{|pG=@9Kx4H&Fzm(`mIJY{Eo) zp4NdrO7o@&CI#lSL~j=n#~GD`YHRLow^OICwQ4+G5>~M{R{@8cR<>D3lInKC)DL@W z*u#fYUW4gKT*o2#&;fj->H?n1U>5+cd}8TXRz@9lK$VdM_{{g+<20H^%aqpqs?tA* ziELTJ9nr5DF3eL}TIRne0%WP6&w4;(*vLgGK6>~HU;%=`1V!9_;p)ZowG-c6bJ-P~}l z8f^`KcW!z~jc2M1N2pAJS5>RP=o(wlOr0%omTAzY$kME4e4GXD?Ht|uW!ul#IB@J! zazfNBHWSSD5+74NOd$TC2rNQ*0Q1y%fC_ET_Evcky~KpX3K?CJ_I8TqFt=oEGY?_pdq43kDZZ_ktZR z1&6!R4ADGXlXE;&EPZpHB1K>(`vr0Mb(%FyaK&crj?G`*fyyY?t@?O|yq4K=6}>X{ahm zsXAYPaAg)4Ll+8ysG0?VFm#g=bircPpE1lQ8=0np#)7Gsn>vY|Yfxh52|U#Zi_8^F zVVoxt1v_#uEAm|!9hj@WK3k=ix&bU(faWxQ$u+`N6Xc!1MvGY4Fl=OVs^g%=Jq!DY z|A&SSs+<>JHSesGAi#^)m6O|!s%Z%V&U z^LpcRF<U%Z9}-N3w{sK0)O|GsC& z7g-RO)xi8re0hGkP=9&k0Wu*p7$C~DEL*n$RNNy8^zSlK;0=RPomJ8HvZt%?qEa*f zLR{~kpC9jw%BkQo=11m{3EuKNo9_TeK)AoVSmk0G$WBh?bgRzWy`Gou)5nv3c9GX` za1UQ1nDD22M!%TjmSP^P&mcs`(5wQb8xY)e68xvgF$LY=ID;~H&EUxYkoDaeA596O zcyC6Zf8H9gpEg0P`+@PDz2bF({p+SynF?24fT$ir@>PXfg#3{0S}asz9ngkuLk+;z}rn;dw?Bkt^Xi z3OorTB3A-M6h(vg$Xy9XFdW66TnPz^MUf|0!ivzC{V|Oh<(TaI8k1wUv&Q6Y&Kg4& ziRX8yen?|(t-hf#H=@6(G4En^f)q{CvOqUTk}5E!#S~PYwF(Ar5SB=3yvT4L>&CaR zdiIRfQ3iPg&rt{t%m{5QR8K$Uls8p?+tr!DHp_mg)ho<@kGh*f;e-rM z-OG2pcNqLu8eEPr2ta_XCmaGS_M(1Er94EZGl}ert$Y;!H4D`p9Th9h`+UJuwu8hKfDGvX!RF-dE0otL7BIT zFFEjgfL4#(FDn7aEh?Vp{*m{a2B)3YC+uc4f2Y-HSM~|JIp^=Sx(A?D)zMQ2ssCAb zZ>zC@+b9Ih%(Mc5``XuHp&W|WG1nM={|98kAsofZj*aZ`KjZY@Jy@t`L zC9GK-M#&T0y$`-4>IDgT$s0UU{GyUS{LH11G(|BQSr9l2!k5ko1=S?Qg2=KoukoBt z3;!u3+&gLc8Ghb^26(Ce`ELLZA|Y_#r^fY9Vvz-i`+_0&^NB7(IeXiV0H^U;qkoRo zJ*T$;?2Z9*Wx$gBje$sT4}EzHnryCS;p2F6M|5I)zKpKd z-)EVVJu=LF)QREwGP+)WpJ7h+fgh6*+yI-8QzyBbof8VN{``&+e7!E-A4SIcuao|K zy{+82G}olB(VKGY@qxib;&+VY>uurQ%6u%o6MA3qzR>sW>g#1K-%7eKypwY){$OnH z8{gN<3cnR|Uw9|xR*b~_qBnl{Rgk4<)nqlJ0GoWaz%Z6p5MhH+&^4Vk1WM3!>Kjj8 z{-tN{RHO;qb_S=jcPcI)4bcO^|Jd0(e1*K6y%W=OV=Qq zQ)v}S%ywCcR5>NJkVG#ASZ)-B66{{OQAqp!HLbRN3CuN`E)#W6F2ZTDUk#<|TDExR zI35k#Wo2AntwbE>(#{y2{OYxrT}|YVo;jLUtL6In%xH9IbEmp&w&JpXD>}&g-J~5} z@9na0RJhsgUfK-xX;r$lSV^s+>D=yZpJ+9P_8rganrH=!JF)%B{_n^*wpGj9mxPjh zB=qozm#nO|7mQX{&~1jXyEfCW`g&FE&(hv}5p__Gt=ecPRZOT#6it-9Y_!G+a$<9X zd3Rf_K;44T2eWQG@i)EAR$A}SA?CDf?Dsp|Y@7vM)O&X&~3>$^v*h4OrE8k9P-WHdY`ov%4F?#{`*r6rU=8}61HPuRge z83z-AaD|qV(Q86l4<*aWf*|unblPc0=@49Ff?IMjwHA}nL`7%3>_mb${ApvH%+?Z> zboFrFWyD!D4c3eAUx<>; zrrnTZQi`SpHJqyHaJy`*dAUQN1N;;qA&6458}^6j8|O02XF1Kkqs2FLYtL+_Jx>Xz zodeaC%B(a|(7`X-B568Gl9DJnTqByM^rG3{ESPbq^s)o1CwtuLI1APowI%dUTbC2f zbgv}@m&?$a``Fwp;&BfYc+j6u!*$rO_ic0*b5iw`y|{6>?i%IE-Jx>``37E^2QZvg zD{aYM&6jE`zCmzPX+ySTU|81&tx7p4#oNxo*ig|ZSZ?aRv$PjBO7jw#8FW5`F7tvp+%0>nVW}jSYv>*7S~>1k5Bo*jt1Z~2 zyB#lkZhJg&_Qu+2)Hm)CPlE}k+wF0^g3b=wp>)^`Y0Sa~49KgX9ABU>%?kLWZfPzr zt?u?PS<8xGu7(SFhnuF=`Ss2yu|km9)P0H5kVp6F(r%PgEJncHknBnzi zts*P}XXtX?l)^&X;t@J zsiMyt3}qeo%6dmuH=`9T2)&++55g$oM=p*IW|hWHF!Hwea>JGOZjaZ&|L|*)+b;&K zBiGyYQ1YBn-3Jx5;zerj{N<7eMt$%RVm#iA7;%RVPZu>6ozYZZFJ|j0Si>w8j!S{j zGdW9Bx^mQ+f#Hn^lpYvq+fI|yz_dL9efuARsn^_ntjRT1<-|3tk=V>K$B-#9Su^#J zG_#Q(&$?zU;D%eUu55zx_l(&^e9-kHENx_|fJ|_!=Pr7dRoacFYA{(XsD900QHp2* zPt%Mt*%D{89b-VN4V6oys7faKRMU8>;VB8NrpF^LH#U}h-0!(HN+YSaM)aB=9D0dM zYfN@zg?+?_D$}R=j#E7>`>wB`R7Ev9VN84Bb_N^D17{ZQ4BBXcqnaD?!V5yxwjCu1 zDXoEl$8U^jZ<2c5OZtf?{rwO?gZcO1hY~B-@gP9(smegdSOVt$&o2JExm-<{S%6*=d9Yx8pcb&!_Xe;2ldS2%+ig+j<4cm7LCguz@)5u5PB_|GbB=> z_&MpcBJg$p%hz{oyNWGaeh>}3YvMtG1PCOc2f_)D5ccb9E$z&E-y2nR+~QsYyz++yjshpR4q(Yy zN8Y$d%lc{uYqv<2#ZrP{5rwn%jj{pz4R#GT`50CSe|pTCKg`z>4#r0`~0+-LOSjC4K(FnND zKF5+M>cT?vTz*rf0Zd~-A?xtI)ngK|;M>}w7VtzI{jfzM?2{<0m3@zkN&qt5r|$__aK5dN{RqgiK4Z zaU6$6=t*(F?{J1Bm)niWZk>cU6;+3ruT+-}+8H87t!LJ!1oNw3H15rK*YOn(zYF!c zU*W7F97>2ySH6FJ=~U3=5B|n6_PfRKo^g(k?N+r@z}7^V%%Vhd*tNMuwj$vso~kVH zZeZ;>MM|$7xe)|{PWjimHy;Tc(GMOsB}aY*@`TfTqvzN&PMkhw!Z!w0_;AoK3%5Jp zlIHo!uNrRBnTE0mT9$@nm%GOk;A|}58sp$1SuMmsB{n_G1=ff1%Cj93sMS#d2(pxl zfI1|PCrF&kG2(wnXI|N~Sy#3}eJ4|Rues_J;=IdO?r1;%|F_NpGKdy1L;^&soC8b> zk+Uads1h%Y!BK$qz|!Q|j)VnlE<553l>(~>j7_l;+B)YBNxk5pVoj#G+vRxmjtu7? z))&cDt_1rkFH72SEN->kA({aDRRh3~lcK!AIllrM?UhI&mtbv;4QdFW7G@x+2M4f2 zTw=qyFC~Dtn_Luy0erP4bMOo>wcQpdiL3O0C6V=$tb=vMVC!UojlTqy0t`FXz%IN( za0dkU@Ar^f*Y~{ieV*Cx{PDoG?qH7(UgGlb`danUqhHelBkTDC;EDtVO4pjAD8%c= zY2vmctPEFi^!^al=k!q3_26p5HKEIp!F^F|-5&yYk++IRQR9a z-${k)Cj)MlUR_aqx8Qw`14sA8-Oppd&&x&!BzeIofEQ1Z<~k2!c`AebWnRB?juZ3Y#J|;}pMfv+_*!*2x-M04oXht*F6e>0i3KZx8TnQE=1! zsf0Qj2<$5%RDiRc2>gSC{jy6+X;9BCxh{ltAK@&99~K3`Q-yjy-o@_xP=>QY<{`NN z1IP>y6F}IRNUHSOp9Da7Rk-nvudu+w;l=vHK%E?awaKgp)OpwrY&6NKytsDXo=YL# z*x>;DQv?J?hEwqbJbOI&e*M7SBF-sDj~tn$pHQ7dIVFsVtnZ%#?oL>u%Hj^Lzfkh| z>IDzbL>bQc*ErQ(%NmJbqbV&t8etLt^gPvM0jT6ws81!{lUH-ajayNUuc@ z;Ygq8`DiQVDpeeye_IM{1Pk#u3pIMcDb>YAw_2%=S8~|lnGwkh%Sy*Bdh@ItIS0=_ zeEe~vN&x)wS++L>2sn+fU(MlG@F(fJs7gdB<<|`rZZ8x4?eRPeaR{@cTY4LX|t|tO24J8a+Ix zFQ>%8UdtFoiy$m?oTu`0t_5(`X4yQ-kJY{jxu>}T z+J*N3FedSt0qzORi#t8s(I1;#gfrft7Dr7hwMSSVd?KeJ1!sq%L}81;1^7I)(l(a0 z?t79ilV>;DArwv*!PQ&{`F_>w;m$7S7dZaCS=kJ*PRpIUheZOvCotg8u>>4mumLO1 z=)k@|ftxS4=(<7OGF~EpJG1qAiJ!*uLkb2skIN9D zovGk#5N0L8T6Z$+u@y0-aOTh*f~yB-xRT&JY6JjiL3IP?^^9k1gG{CX_nSv+;0kze z!lSRC%BUIV3&75odh@*kPuB2_32znH$4B_HSKHiQ?svDpY;#rJ>gOk3Hy(Y3ZdrNr z^P*xY&F2)!PHXJngRiBK;e?9{Z~?wc2(<82zv-K=qo?yEIPjR#Cca_3h3QBhSpy%& zV@@@#p+2Q|O~^D$b+s`K$p3=0J>m%e!Uh|aBho8}Rz!-t*`jUR^oamQvPzpQoiF_A z=q&fNaDJz#Oc-Qk||ga9~jip=rf?>aQ#`ASnjoD|%@ zko`OmG;9GYH2^yk-&f?|v!!(fMMhE7vR!v5Ax|{~&6){INx)A7{K*Ll@L4|as{xAH zP_KDP)iqR)*KFM}RR)gaDo5!2DhjH+UxI1)0^EoooKy-Wlz-ci7kCZ~d=9X)oZl}4 zI>jGAjGrI!3*$b@1)SK$g7cE5GzV|FzW|g^-YF00YRt-;p~%;WjmKaPsXXn*k9z$+ zd9V!k+c&9#k6L+Ojm@63ukX}K0aLQ0>rO-MdU;a?IA7^LT^Hz?xLg(ma5fGSpa|f? zAEn@~=y|-!PYQi`1x&(w6UtAEpr0?3^BH=b+UG|UgdO&Jr_Q5~HPt(%bg^L{FTdvw#4b zkL0(PemNAlP_LEH1w#^Q7Xe81s{O75sbWm#%n0#eLwlPL@EFtrW8hP9&|p&u63(sq z3PO47!97wn65K`=xxraW{$c^=cMVan=&AsHf}i3}(3X5O3Ctm=tFtlRwZsa_M&Cz^;F{Z%bm&Uo~M}tStODPy8ov(L* z`z2$yA9_T5Clg$~F3HdEOYjAFtZFDie$qczxA|S;{Pqm*Z*bj`&#Aq79;L_hYU(^d z;`E58IGZtm)oC)xesPLlwm4hRyw7iKz6n_T=D55t6v=HaoD<@E2B0$Qe6?M02U!8u z5SY1MB(gaI>vZ@Zd^o`iNp5N6PJbA%^^T%}514!MaYeZt#;s5P);K+bKpXdI_+s6n zYU2uTEdX590k^Zc!YN&O=aAh5{&N>1&3FUTgT8ryXaoU9r@wf(4DPW!{UhQ`~j zU+mWSebA+Le$&%S_+(p_KUl!0799mgIia`g^T=1d1?OaV!U>`s;_X}!k~^G-RtIxG zf`cgmTg0mET?9`8mQ@!|0EZlzVHmEy%I>eP8jCAl461%?@8RKU%$foK@Fk#ePN*0s z$yP5&2%=b=jP88R!o1n%vbduUGL2PopQ`%ZyYSf_#w8 zLKA7V8^BBeMAieED!A5T!ZWFK-P?7_3-Is?l`UH&melJl02%{6D&$dXcoqma1qU6> zT)w)-1FX9D0$eK%k@GFQ(I)`G)#KLJ$HfOPO~E)CT6Z16xe!kS%Vi}jhCSW42sJf+ z`taF%1Jo-=A2+-82&{Oe?Uh+C?IY7v#V8?X)%`C~iK1j29Kf*A+qkPD>Tkf%k`J5Z z0AIE?7%v^oyr;k!A-@*$?0i17af_bO&(epV2x{Pa0I>-Ypq+8b`%E<9Mo9}Hoa!#Hv#*6+!Ol2@%7?_XSLB?@tz2CD|Dx-Je z0MCdu7EjwOi%qQEhX>dB9L}2O3-|?82ly7L;N=6p3L$0htf5GlEjkWLD0PLg)CBfp z9tl~;JM)2~1#KZORWiShwSmuu@-sx5P0HIS4fFCa>jytQa}vPQ<*L62jJP{lJC zI4xmLqAN4i{xJG!3nq*?STxePx^SK-S_79L=z(MW;*8-s*hb!hpCwgSewd$Lg*rlq zqFfpz|2VAh(23C*_rQNBCycp3uKF;)PuT}ly9bmLe(ClCr}ka)Vf&a`?=s?(Tn?9C zt^x9Rk0(>ZZ|G;@h(B#iR1ZUvZzmRJABN;xz&3AWn=RRR49?^NiuZBge7@lUFmnKL zH-R`j)N5kqe1b89eE@t1>b1;rMtXpNMQZfb-rnA=2b|wG1f74WV8To^+XIploQZ(X zO4H^Rn2i(|0DYxa_L#m;%LfJ+xM$}d;GV?j z_vZ3N=+h~QLrsGL+O=}!VC zx(Yq0#;&2Z%x@0+o4ffJh2D_D8~h8#DsUbsW<5SQaR5jG9+Aq__a6W9xD3oD(5!xK zVj^&!^pR}kGa!~#zPt+^7{Hq5-!L{M>uGYTB`k>OX0nC21K?7enRTeMx}+WZ=pw5_eLu$4dkZb*BlGYx9va5hGghz!ooIz{JWC9AD6 z?pg%!RzhCMO!3^Hg7asQBB_rOaVi#=_lBk?;K+=9b^_xHP$}TJC$P95ipy_QhHyE= z3ZIn1!gu&#n8L~t0QgW|#gp+dZv?o{_+K0l?GMa0XT_D1uhz&gw*vgz2#9O;hPn|7 zILDhnv&<75D3Vbj)@#C(o-zE@-hq4liw#rYvrOdE_m_9{luG*kEsCCTQC4bI@LZ2+ z&ox=>B;ZSz;R)z)JEXaA5qxE{Z+$pb8n9%Y4rizia6Splwa)qnPr5VtN_~osy~A{F zXTOQI|K5g-kF<`@moRW3|NC*`6C50sXLIr+5#KolYdY`n{)1(1c>Vc0t7LPlxaZS~Y;4GHMSa^_dqG7S3>vDrR ziJfD!m$Nk8^Oll80LUu(!i~=6`Th{Jd+n) zJo00Pz7NhncC`9+qh2}iAs#TC6LotFLB*4=%DCWO$l}Zu>TgA>R(rsWz5*52fjHp@ zGabLE0>3-HpG4~r6!ifUg%ro+bKSKySrLcCthJ9(c7FURNvl1Po2Ki$1pL~IL&@t@ z-;VOb@t5$`UjrDMBAJ`b?SbQNWO{uI5UUNO)1PY%wOL9gZ!S=S3Tlp+_K z&7A`bH9$V7R2!Ae;3Nv`bLObSmURH_mo!?{F6ebk*<+!eaTJ}Td z==EBUBMoqm*Ika-?jt^#pFZFZvOM7o=Tw0y&X%zC@`y_xaD#$N0}!_+SBC*ThCF4r zKC_HicvNrkY^j^*4&v6*EZ$niBOWN?D*GdNsS{qmn#(N}AW{@yTLgI)b}zR+%!`rD zOiM0y^`7Ho!r6)Sm*aVyB%W-s=x~-bk&a{0H{)%72A`0mk;d7NV5oMS$qW_d95$FI zJ3Z}4ZByP59r|R5jUlcacm{#GE``h!;8wSs1C9uBrZdBIFkfg*_ipU0{v5F+#+TzW z?QgU7{VpNqk7IG0uvrpyL)Vjsvy8{NAOUhL;&V-h4b}^s;!4)L-PP^|<}S*>tlUd5 zJwh2l^$r8q^}vyChjAlMi8XPeiPHxZ3hoz|UtAKm?DRK;E z*bTt~`x=@AanRXPdhov2mi3z3gIzxnz|YLbnY5&1)3$#k4^u79<2V3!D=saZQbeO( zZYEpu$Y_>5FWS9|cq{sq2_P}h_~ZU6&!#DT0let81iFcTm50__QLXK=yvwauH! z^l!#xaN-?)Z}8iz|6Cthew|SY!L8(o)GE?ooe%T!SXh^0>UefEo))uHFy7b<;iuH( zlka^(kUUBer>6%fD+hoabCDUl6TiOPu&Nxv6f<@6TXA~$X8y*e2LtC7l}4Q*JMm^x zY$#whu7-3dS! zqH8jNJ4CZ^_P6Cy*=@K3-b|$cm*ZpjjeGo>10OhFJNESk_nYZzo@c?H`Iq0mVN865 zl>j1rWPNeVhE4vW3~%4D)#5)3y*Max)t+2o@CSXXhqnZAFR&YCo1n+7kGgi0qK7p2 zdZLT3aAcLEV;FG#Itk|ELaW-`l>7qj$PyOK=WMErweL(Y03dpUYagy7V?31?eMN-e zvqRQ%DF>em%05C@Y+g4%1c%|Q80xkB{0>|9>_Oy8) zKFrGx!!BF(_wIdI+In)?GZnX&2FRMPz`2)mjjx95=1w>$t~y>XC&q`lLqLuOK(gf4 z#1{o$vGd*SgOBZn$wwMK;~bldjMc?-)u+Rd)BG0);*tX$UxpMIXknOf` zqAxbQzU+iU>saAT<=y&|`M$#MEhddq+M3G-ZoZ8Ea>&hsk@yS0eYr8h1<`xfar^nE zcWl4GVI@kU4FkA?;~-0?ncw;GmlQl~n8T38au*<8oJoR*=i+TJw;edj43R4;QUL%R zD~P4wO#Nz(cl(1nkMPkJFXGk50PHTz4bDnUo~MI!+!b>uHbQi%3deLC3FB)lxB43~ zGv++rxSZ0yg)`q!{^bDSoD$|*?-XqS{Cwexch`%U*)h-d5?my(t-u$vxWlw@xP1kV zEWQ?ta^-0E{yxoX!=b2m2P=->X(n9&+LFPYeoqX79G`g2d+=|4h8%SC4U&r@-S>EI zyjmxS;_EjTSvZuLwNF4uUsD=5?QOzgP3HMY-XRUHdM-D#=_9PZ!k8(+<7$3;eePHV zh!$IDkRvMa4D&Q_+BBbDCrpAir+pO8gjj#)dBl!f3VozM$nFzDyf?jY<@gcvIWceZ)4Vg0(O2fNBa*3_HCNjQRktIS0TQ9<}`}Cz>Ui6UNC& zeI{fTV|hADC@QfvL5R9*&AsMzlNVr{~A)rYiz# zCsU^z{<*_1GXR`pTItJM%CvZ3vx5cLxszd@nS!--_!~<^Z33=lvXgi7-YI}oW#2z} zwFUm6ZpWyj*cz}ZKYst2TSAc^Yj){eE(`v?#*DTZ~7&{I!Ej` z7q0jK80Dac05zx$e_)<{0!Z(1M|cLDD@DR5zNpXmOLVf`$?EpfWuZP%aNtzNcKBfI?9H_;5&sqWe>-H;rg849ElLe@!`A>e{Jjwx^Izk1XjO`qWtp1BX$9vv#SPE`iS4#1e=WR?T(Ta%}`5jaU#x4#_r z2f)S1Os>!QZQa2U! zh0buehd%*E?1{1pXr%ajKD(0X5dqHSU%r0&jb8+JZ8*-DfM>xzy_h>+@Y$ zN|s4T5q@7QNo9BXwRkz1d`h&hMJ8cjIT%hdyC={PxkZ| zTZVDljr*8V3($4*7!s*`TIySXwr2or535SBF$aPm6r0^Xf%F95W9u}BglvG*SWYqfL_J=0nc)i$N3YYcUkSp@4ym?e52^NVz?#C&blv;0s6(0iXNO z-k#9TBuizmM#!VM+;K%?O~EtajBT|9GbjLl^fkCc059X*EhdUSRM5L0bBOM~9KG@V zvBCDjskTYP$P zCns>OXkaQ`1GpDjft<+(Kkvg}zaam58DKm)0LRkG4nE)WYDg5SST_ph#@>FB=fVw& z<3>(66G~;=e>HA9;On#O0}%4NC*lt76Eu*PH{tH52d}Hg0H1!ptuw9`iyd2>su*ha zm*CE@-M833P^;f7R)Y1P#OHC)L3{r^8ZsiTZ=ZkLWCt!^L zgv|0!pk(P2pDqBDk8k*1&jF!dNOlVnK6jq#Cplov#Q9g#^je=_x3J>LIx;0cKNzr~ zWmC;>be-BEd0dzKbd?VI)&YKffM4#p9$JGc0k)aK=Ha-7z@CV)eo%FTLk^KH63LLX53-!tvcWnJ$v919Om zXzLlaCco}jl3f+IF(ss@fjx!5zx1|m_;~mwa~nSJ4*m-1q)mP^41zuuq(`b=+qn$t zDQ}z(tb*41R4$hWK)AZ%U%NU~-=b3QH*hwoz;)LX`~@7PEr~+|zJ0cyc$-kmXD|zr zM-`}`?z7qu+;mSB-3B1O&v^Xuo-p2~oH)x@UifKukEI>|HPPTVv^Tt~8(0dzF4-Hk z09?A5@BOtV%i&|>)kVG4L@n9}E+oW0Uny}AvVA-j_6#c8BFIXV-`fya13=L9-!lak z&I76j-k$)jd3+w|7i%s@ZoyfiZu{fT(eu$=VD0uB*wKX;W+5csyU=@sqR0S{eEXa% zN{jxSHVKw)R)w41(2@t1*TB-zIm3CFtUG>Ptd5o*d_m${@dc#jK3#xS`AjU-KgUoH z)*1xqrMdr|FTi`s>KC)uwF1^5-bZ&0ar&1gb?gGxCGE*o0F=sl8{_fn6`y3kqzY>a z<`1#>G{q?}jwH$pyRZ_Lsh%iA+Phgo3veGa`7r%m@13Ak@(f@@nu~6_R89c8j{r<( zq7U9KdBZ$M^t}&3Zowvm1g4tNE3rq^YX}lk$!`eHQ{H`gojb>XEoyEkxO%|nUFGjW zCiYkouy*AN@rWcaKo|n8<#4bHK0gD)282xYr2# z3Ub8nM{0rVYS~j@{!AmEmsk6_^gC~y~kr} zT@MbYQdyMe$Jup+tyb_gu6(CKSjt=!>J z8N{`Q@KtnyQT1FMyQ)tvg1%{n^=c~MRP}7-WXl3mzgSQ|Ke@s4?zsHgHAG!})-C&X zbp{wI&9Z60@!b3sxi6h=O|@HqqQ7S*%ZG-&k>4r>M_~s(bU33G+{N!Yo$D7-8l8PY zJ?2kR0ZNnn?xJ2%`2fpN7t8JdjV|us{J-xIb96A?DhkrI*c|3lE2Ow_xheqPFe&bp zKy%!xu4n(fbiaCGfD`YZW*Ly8r_qgfTyXCY7+Ayrr#OHqLL)FN>UJVl(fJZSEX z%72*X1?%cLaQ)%|pN?3$|1~w5)d;ANBFH+hR=eiesn)BaKJGrOR|XuBV+E22BqNxD zUyURyuH;Dpto{i`HA{^<_>|ftetmAR&f{4F-;BL<58qLz+S4n;X$hWwu>_oB!VW#k zYhL=s)z}*w7T_cKH|$AU09-Xj$cZSh-c#uVR0QX*S-A8T?Hql>o=b2i_+^iOeR6qm z>w_!!-k@djkXC~$sKIR+TJyZm}W8^b7{fRRk>J9m= zRK@=+ji>s+ez)sy^4)c#Wi4m?gMQq_-+kXaPU_z0;iABG{8KF%cw5QF>TjRqQP0` z^D_)d=E6H3R-W|YDXy}vu)Vrx?efnym`@dfpJ%`EZY`#KeZL>BvH^1bS^_JYsoQL+ zcKW{j@etTi1$zX{HC##9%b=tZ%#_XvhLyP8pZ4dzEhyc>j?ig&*!^Bgi+Ihg8B|*5IujOI$ad^Uc zx&yGIuLSsP!Ih}Iu)C!%)*99ybJhd*9-R1^Qa!8l%!;!Kv+G4av?E<$Smci%oteR)>k%z*!>Y;nt5=`Fm4 zrB2ke!tW&DGfvl04EGY2zc4smVs?+=-aPG z`Ng5=wgb1GLp-b%F}kkne1kY*gY$IAUk?WdYr7yfJJDc=^^$LxCH=(%P@N=Ew0=S^ z20q5qbMi|WGC;?IdLV_^k}S`vWf@q4AVKIO!8q@%`(v=4IF57Cm7rc^59#>E=haoQe)tdQ@F0;v(T0Fp3aM zgz5PLVW~oJk*kqWEF+W$Oi~rV27kREZv%Eo-DCkz=BKIU*@v#SErzYLCFD%Z^gv++ zM;(K+f>=g#zYc)8sVN91JqzUV^tMW3FV?lDLu=^XrW(%SZjPd@R z2iPVD!)6=op+8lC=j-6}_=dxVN(gX6iU(_EUj2o_YZwL+zA%q|mE6)=$PZyb&OCM8 zCrAv1>_4B+bN4Ydg#AW3%&%TGG!OOk3JKU

N&_;>`|57_JWWbB)8 z8w9U`*6Nwgz8!G8?J2Q7Ql=O*y$=3(^*I9Jo+?5iT|XF;j7Uh(ALc<-5K6 zC-iYm-j{>wBJG{{kSKY8qb&*#C=>9+S^B%KLkHv762{y9FV?cYMp%7U>zYT|(9&NSsk%tQ>vRDt;o(*&%s4Ax!a59)Pybep=v zaE5e_7<)|*H*M(rCD>$QoqXe+8Zzexj3L7eNhvjbZuODvTcfN)_6~EkB0&p~y z09?rbdI0|NX>tkU#oP5)OLe)>XbJ5YVR@qhbLdZJXsI9KD!WS=)dj*eNb|W@or%Cv z;>J{u7*bGhei#=m!Y1frVO_DxqS8|fQd2bn^W=~yUSDq}TvLpPvB9bw9spH=JN^Ex z^`K}ncZ2bVXS`AXKb94btR4WYERTWbkIs_5B`R1OhSvMy(!9fg_<*xmazzb$LI_|p zB-OY#gCtx4U)@=MY)JXn|MCScgK(PTq6nplfX|-%3x;YRz&F7Gcv`UMZ;M%gPes_P z3v39CTnM>dQpNfiFYJjR%QsqjcZ7MDAT)o^QKvqK-fw)Ln*M+bU#vwrRFVy^T5w|U?+IXB0EZ)+w z#liIl{8WcEKSb_Q+aZ_DszmiVx== znnF0!Y=7NUiM;|A4QELW!F%LlzgF1@ZPpYRum}qfKG9T^}L8&Q`8k4+96&J_X@Dj@8>RW z@M12k-^{e9T1J+HeP^&U$?A_7S48p8U}^Ce)>t#Z*=;oSXaC~)4R(S5wT@Yu)y(pr zmP~ELQUD|8fadt%dl4PlQAo#|r7+{4{q?(aLG#ruFVai1)B`P91aV*;?gsnlv#O0> zSJ4bg-khodTo3nc)|3*MWy0qRVezPg0Bh*LJQh;HdW-$dSm^Bh2ip#d0n5KM*b@!w zY&|%<%M%i&97T=)4>VPZ8;&v4{t_8WVk-qa>Lbk&H+DS!M-Am zog3qA-4*H~m8n|qh)I$pEkiup)$uo3j=N;<&h7$F2etuDfd9$;02@v6xiH)uc-!vKjT661xDNG;ip_h_iGS~led~v5k)pGOpvKhX! z{rApyN!g4owo!nG?v4%obO`IPGVoISo3_-CU9^JP9NTUFn7f@fLkck>?u+&HxQ~jnU4UE{mU&B>Ppf-rwRTRlhsz zP3m-v-K+n-FeJ*pKmuAyXnz5PF1-U=K*g}nwwj<85jgeVUmmG$X>Zjp?(aPY91y$T zi_74Q*?XD|80_2EEO_q0-y`g{c~~EH!leqpxc7cI$^D=vA^7p~WCFexeV=|&h=LTD zZD2ypf-m5yzu&JfUs&JnYOq%9;8y@&ptQ!HWuEy-|j?AH4GUcYQavscfykU-Xk{xBD;NqqphzIXz$xN8|v+2=3Hgu)@6)?4Pfx3?E@%O9a8(r=p;A4#1G+ z%aS(=&lDKDiSZ1 zptyKGq9{N9-bFbQMYt5j+O)7nRosLhzl5>Q6uD1QmG!^4)I$?dSd+d%eF-VMk(s-M zmsXcYOp+SmN#L38v{IBna4MfrojK>CJveDXaH0<3;ZpXbgU@Qy#7{H(a?>r@8wl>DQ zG_2U2-tY@Q0=)5$odos_K`Y#B{oE;a9qPtll zxS)9}!diM*6j-acHu$=3Y1-|iI~Xu>`TV%UXEQ8)M-BVyq5Bo*Xl-=Ht=bYCQF!QfBJ&e{aTzrGJ3!Vj3|Vz1d@Gpn%!$wi)+}!c|5_>|(SG-UtxkG_ zafsXXApsj5tMrrIDZBUpin9P`4!jNZN|$|;ezD3}8y6BqofRD9LbogyEor;+ksGX; z-m|7@c4U$RSl5E3Uot)5ULEkx-U0nE?lwFh^A7yT>+k*oplHjm@#3dn2Wy0np?p9- z+QrDaqEupF2^`vH!^U(NgMqO|qx;1b-x!(Jdr4Br`uXMge!3S1l{?XpT%SX<9ETqP zE;D&b?M=YYq0z6IlF-@i6g#eP+IvK<*RFneLtv=Aywmm!XibuIMh!4|ezV|#;hL9G z!Wh!N0Y6MB0=R!yp+9L3(W@x*49br&BG>+c%+~z_XDu?95n~c6UxUePllcun;1%lk z0W2FguK^IxFA-YmxbgX(fEOD--|q?wwsfe7*GhXFbXOK?1if;AQN6)b zK)1gMWHEXM*pDuQ2Dla}UW0mFt|6Qk@b5d=6j?kTu0J>!1cKoH0#E0C;WjH zI|`fObl4lSS_BU;{qycyN%CT#j@A3Tlsf_VpF!;3w0IDt@rwmjMxgUq;dFkAWgP{B zyPIJY5M$YZ3xkJ9O$FHFZmWd&{fqTiMuA`M!76h|c>C3|!k8QtiGek2M1Xw2!(J)w zCWvGY+-(sMmLLYUHvZQ7wSVP*wHb7C#G%1`2I49|_c;~z_y%lV z^XPsxm@xkK6DqL0nSl2q6H)o1{S#xXv5^2|Wq6zK#sd5QJkQ70`9YGJ+4G2l^%r}( z>BZ7JpU)>Pau@Q1?16q+^VlX;u6UnZ!V?^SSX-il(>$jWu|ZAEx8*mq7CQaeJT$M2 zgw6h#@A7)T3{eby_u=@ki20|F)S(|1_C3A=(G(}=+Ufv~&7UW2uj1yaupeh)Bbdv# zU^Pm`EQ1Mq%wfN|1Z@8mOTa}Y?7%mmz294az)OM3Zj1ca_ma;~dSRx8bQ0!qTH zyQdIC{)4nXE`Ob{Bp<{HSV+Y6U~JEG?y@R7f%y+-wI3=V>%gW9z04#1<5xp&`^rB3 z%4=CNI4044I)}3|k)4^y&o$cN1?mUbI_y!G1z197hbxgvW$>=gb>EK1zZ$LQ<&J;- zuscV>!f_te!DrirymPUNuXGtv*W|l8IhzG*(*EVlC?@O93q9Zo6{*smmH-nVjU1Gs zFUrZ&xz{h|ch6DY@-bX{SE4K4`eLc!Ih@{Ti#SVIbk6u%{+`#2CdbDz=%)klj4<83 zGvH2paLA1wMNUe}~en7}!@1^}H%r zm(s~lERlkGDC>Z#@+HXr-K))l9pzA0DhIv<){%|)26eOuKl7PJsjE%AcE}TLU4Wdv zmTR*a%`p%D9sIuP{a0frl!EZOg@yw26~CCmF+Qfz@6pt6FPMl_?X+zGo~gn=I=i11 z(2=BqVdbBQmhr14qd6jup7`45DFX1GtOJWjisT1xRugxIh6by z&#MF$X9BmD2T%i*PmXh7Ukb1@letkZXTZU^>-*ed3r@VHzejd;K(-YUxK#?JdgvlSOpaMzAyWg?ulP6_&vZp9~Q13 z27&d>4lZ@R*Z_Mn1Sw164{+|m(iDQ!%GRTMqu$%m>2Fvp<}V)`_}ZfxO$ll>39j(# zU4t?GjWgaX#UsF1M)nrD#`^tE9bWG&le|ClyDHK;xh}tbKd$!-_Q$~Z{ZBg>@8Jb3+nn#%kE2h;3f2hvbR6Z23_*%#;M@iM_gU_}`S~QH4sbOi;PjUC+YviV zx)&nSr)p0lNOxHKkDHFS{-kUN;JZu%ymE$m3QfpmWiby$_@Mzx^#WOP+siK|OaZVZ zl(3JJy6IJu^YytvHZV$`mWjB|e}1 zbH9$uVQT>{`bPianCesCxk3e=*ieg=rDNKipPupS zABH^v5(y}yCX|-24IxgS3!R5w83V74vVZ)pgVE-2z+oM01>Onl$_MkbYB0f_OofW@ zfe$1BzrcJi`Z$0xDv18322-g7_m7|KFpgvLdBJkGpN=a2T6*^a>vC?oTnbm3qBeqe zhWKtKB==hL1-}*oeir>qCJd`CL8slGwq5i-cqF=W+G7l->M4MGCCGn#KYAkLa&G9> zIM}j{5Z41!OG6D(jm?%$$C>XF-bo1n3!HbTs2$UzJ*;Q^;C|ON+8RSLz&7vMPaO5b zqKGz3GtLVS#ku*#<)1w?+zY^l6!*MQOWMQ>?Y$4cxGT9q;sa79#L;U)nwaH7mU(lR z4D!xO{qIhD>Os$2oZZ-$2E|%kL8t;t6ySLVuq~7TXY9{ybD@8&+!Q9V!ArJ6Uk>8m zI|0Y&|7uG+X!}VD&<7+&_T!I3?>P)?<}2`1Ft5AlP*P8adHh<%?(xgae|%DT2(jii zu=BJW?|~|ND_QNpEC6EPw2Jo^yKXNo>@x^u*f$+%kG3jc=ff3XTT8Qs`JjSr{QKHh zt`E#j_vfFc9-B@0#?m~3$gsa-o`12O%Emv}{`~1}tuO|r!?-13wdVx`Y;@Q&wF|}H z-3B!K3;6f5|7n7+AxkSz=VJ~@Hv9hZP)qumYM(FaJ=$DFyvZ;`zrA{>|L!)hmMB7w z<1Wm9^(=8W!1zbuSeFY|8;32GZUnevW_SO@pXVRJA02|CIFy1hdKgo|u2?3+a5HfY z0lXglY=r}yJHr?H1Z6x_>;^w1h}8{hI<1a#yCJndZb)#4H9UusK`jSpyhH#tM&=4G zH~q^?HRH|y^(O5Ld--RbGt_GCMNK1j1%X+6*sKA2_u;u>BIz$qp`-*g2i8v;8Bml| zkuJ*nxj|h}sN=g`tG~k)cNna@hicXjs1qP{$yMv5pKm7oO9Nv#q%ZXC?Co5D z9q6jq?(XojT*z6Y{Xg+B69@d=Jm!xhLv630UJQ7CVt+FiZsnJ(GNxY?|!}6mnDnf0`vx{>;fe)0I&hvI7Kf-GUPg1tcSOSqR~Jo zC4xl*rpgG>imdTMxZ1)gC<19w*X)K(WI+G6wF9)u{z^D=md&N16igfip%lC6W=bUv z_tMqI)|GUUr8G+Hgc~JI!cxkcC`ejY%+Fhk{%BNXG-J|v7LT}_Fe4gjshju`WKmW< zfJ+SoLTCZ%CTb$ZF@jubkw^+RK+4Ps3EjG+8)Eb+v*<~6y2}350c7uUK>fg$*?%!J zz-TYYv-&20aAn8q{caHd{t+DCC(N9Rk4la`+&^03)&BUUS${@fIY{w!O~oj8VHQ|dQ-qIfaRm+Q;E;Vbp2}Uv zb6mX6kIdsE#gKTL7sUSE{ce!^BFgxpizHeB5Xp18wwKH}WwR*WVy3>C&%r$&S+MQy z(J6;I-niKOAF)DTAfU0n1upPGdkavdV+r0SQq;}dRlrsr_&QJO)rhBM4c~mx#@NtO zw_C0G#(8k)d7a&zBh1_LWxN0@1rPN^dgtmJgW$p*E?9biiFZfuIbIHkIWyV>%6{LLU4jc+OI}18-xN&aCM$<{8pdiJL(PF8Lo}KjkOMK z*f5)6PSS_i3njiO?K880x4YZNes`n?yB4<9IQvcQRLSP9C0} z@MxLml`dky(F1U#wA&q~fsBXqqJ>6oL|(A$lTCCZ1B8D}tM>o;j<-B+_$(lzFI)r} z6`XPeSo9ud*Fsm!2kB6^Wxb2G?d~vMIyn-rtp_FBLb%C+aBKp1^2Ppc7R_$`r=11% z9>AQM`4-+|b}JolEad|I6zzf{2u|aZw64({JW%a3tsnlL0`w(&vZe|vaAs?C(zOOT z%fKlBR3NWX4(bem4$B4Wu#;Q%VXNlTPl@k-klRjqu1W z_h(CiJ!ORIB6Z|#z5DWwjF<_*(P#8SAx>qsa(Ss=7W#`Lh5>FkM&L&Df?{FWde)fd4!3rU!mJOk#kizT4uD6W zw$e2`?3upr&`+6Q4WR!C02HZ&w-5-va8(4y@d(s3b8r{D{xk}lcK^dqxuu8wSrp*J z2jm8d$RPTYUYx>X(3=&gNWVu2nR4HiHGC*^HOs?v6a9E;9N?5`3i5W<3ql#@VjHkJ zzufxMdM(PBJgt7vK|}d~0O6m@2{csv)Iq)=&5L&dH9Cj%@FLgih9y;pJHOZS?m%IIdPJ&P+`f z;8qNascXTAt}97AF{nSMT(vV+GTp^s4*+hxc9(bnwAo)K`PR1YJuds7eh{2z1Ac-Y zNUPjo?tEm~3Gt=|(!HkELG|>M#RR_iU#(oE@PkmlERepN1)_!+Ov9n`L=PBZbb4;fJEu72WTJ z2ZeN&EU%XBvKd~NEQVw@m*|@o+%!0aN#8GDq$p740%t8ykRCDB^W#nLVY;|OV5)Eq zN7!Eljtoee&tACaRA8-U7JHVt^H5Cbw0*$qt2wYokArP*zuX>p03_dJ0oG1&*S7D8 zK5O^ZY)*ju80XgBKGA%4pl+28`*#LNKSscQ0J?^K1&}lIK1=XxGz3gyBf~1bjdDn_ zslA$yn4t0~`2yRQU69uL{_mO{Tw22#U?1BX^jMI5{T7GM+kg0XIPR>oyB+<0fvbG2 zs;}w58f#e`u)B5-hWtodd^>B0tocW=(JglqI`pZxQ!21ftJ^5;Hai_RqfN}l0I%uJSJq{T| z5+*|W2dc^LRXl&SwCK~+umJ@>p4DeO;80_Bhq1g9Y9$LC%h~q$YG2&wcp6QjFc*+q z56XW0X58o=mi>A}p+c$?;e=SOe%0Jxj!07FYLQ<{=tT3=)?q_Kd?g)hy*vzzxr@RJAYyga%z6FQ zp*SB^HXnt7<+t6SvfC-5Xuo4jc2W72hz9>2yCiia4L1r3z~D5`s?PkeeZax;#<6J+iEY{u92vG@&HjtL6yp8T zw}udD__u~N*~|s7pd`9J=V#cXe0Ja6&_81Dbpt!88s;Ilu#Up}U`d@%7I5iQa6a`` zT)MA`zuob71uGcuVOFFxch`h9LdUPZ-@40SdC;)N7*R{E9bv-Wu8GZd*Z4HHGnEfD zf_E>8k>R+J#i9#Rnd)l9(~@yl_#@%oafeuUUDXO$8&WDz%1cMl75}yL01j0(14+N5 z%E-9gMS8tID-28c$o}{?&fh@N90tmxm&pjRqF6>SS+hYSp^H zsa@$n5HL<2X5_|ucU6G(GrA<&M{I8|!1uAj(>GqF>$f_9a_3N1OpmZt7FOydcwp{`ek?X4;_c)LD#4=@bawozjx@FytAqG*_7uu%)@zj}bne?xtv6fH3E z;zno>PkDNWlRS;LQj+V35n8$ka@AhGW8&?0s79~lX+4BN{T-q}|10>~3>)_m*vG7t zztjTMU)cCt<;hLutyPPU73>{)zQ+4=iwq5WHG8fK!&vCxL@M3GY@b_(@cB;@od>JJ z@x+1~BOfnRj=#(yWe|YPOh~9hz!m8Xg=zbW$~6&cd%-$cFSiN$UEIZIX8r9U2gIJ$FU060j~=PlIZN9&(z*e)cU5H?=^;Ij_yU=GDz-P`ZJ!(L=aj9p|#P6Y|{ zZKx_)B$Ox#x=U$5&A*G}Hro|;me#EzDi5t;GJN&R&At8h9DrPaXu%QttHt9uj$(-d zxV9-c^Sb#e36ZS8b}g&NaDA|#^M7-W!J_sHlR(YGH>^2V6!UkFp5W-hzCr8;h?n+7 zf-j+eNN2zJnKhfQ-@3%l=7Km)ylfx;165=bh|{JuoL%o$z)zk8@Z1 zU#{|9$QPmzY`GwJj=0uwwCdH~m)Cn~o!n@Q)$5I(2I>gET#@Dm)6}QSogjluIAb`4 z@2AU$Zrt*)T4{XTzcCMvzo6Hoxh848CV|^s@;Tu97`xmIILC9So+)m`0T_Jz@S>th=;(PMs#u&xJ&?aCl|0zN}6d?=W^T6EdkD-sM zhtse0D(AK9KBzBPQIuI07fJT+gR}Skq!9M<{ms4Os`3C-w!bh};At2DMeqmYFoqP6 z&K9UgirV$wn*}gMu$DpsXToH?!C-QchB|V*M!yKC3)uKjcgM!6Z2H`Uux0PhSN*ER zxv!GwqVTob{OT+}THrJzoV5sZO;3wQoXC{QNe<@6je%dP9M1Knnc6UKf85##7rrAi zmUd|1+=$0BhMImC82bmVf!9-<;e*TOd`9+YF`Awgd5V;w(eq*Hu@v%*Ui>oBTfKhx zLciCY78&KE`0af~iZ9%8oz&q0CefJ-^b9`@4H#gW0j7Ml^^~i`%X+Wt^D!JQt#mxB zVVo|o#`kT~$npT|IZVtSU5BrNh+k`~T6Bcbc{U=%Km94nvP zcM1{B$4$VdfR1AZ)-!CX?4q&HY7>Xz#RdRC_+dO(Ztbu=d<%TOAOjq9E&HmOoQfUr zhF~riHUFz8P#*7(i$&LR%bz*_6&wD!e(tM-u7a8JJesdBU@NXLZ=%^tF40Ga1Dnya zz%F31J0?%86tC`+d?oV7UzPw1dJ>a_@J^N8_aIi&DKtmBi_MH61>FKVo(e_)}%3l^krgmXD{f-+(b;=1$k5QzAYx~2zW%8H`1lBXe*9p1Dp0sKbXUKIt{;YCG@1)=4^L$8C>HFQ~m;2Q`;nl_4bfhXR z-mX_iqk>>OAc)q^0Z$1o|JW;(DBYovOY()C?T}56HUD*^I zR{+~egjw=Lw$7ilU|fJ-Yi{+%(IOEdK`;H|KQ^SEWnO&W>IL9Tgj$8mR?5MKZ$HtoXLnjLMAXn_4{ z!>4#Y2dgEY15p5MAq9dpNQ6-N{pI_fs@81LO}XpA9KMh5Jm%?Em+|v)kI2vB!7!?v zwtXpYT&ZwK^J4Gu<2m6v4y@JNneYrP)7xoMqI_trAT^Sxk-@XoK1n_!IW{6wbMXst zl9>irl-+_2#S8vPq<(6P^xWKGwG|8=@7LjyE(_ZmQYWcjWMseH{qd$|2?_4+r+}6M zA+Yi@A9uZ`&ceE$f!%rtSJ@?5q?gOt6c0u%i+Qw-$VYBHAe*zVc(6E55-P*hZ|BTv z){q;AxeaY3IX=Q(%@YGeoo5r|8)D4O(J$&U;Us&RVmpbzvNOmV&Ti1;VliZv|0+yg zv){4Vp+Gnkex2n&$GCpropXE%lNPaIiY%+kv_bo!V@{DMN3S3J!mr6gh=Dh}s@JM+ zdr7}=C#?Ty;#;*^2QaAh$kP4U&|L9yK3J-s0Gz&{EQ)|dZvd2Xj-Kw(tEVKX&Sceh zQ6UfqQx>^Ji$7AH^sHXfIyjzMu;=G}7Nc8xPXf{WhN#tkjS$YlOd}mQOfUGTr3bZA z7ybE}rc=M>j}NauzJfZsdGTx%$s*Oloh>-O%S9<_SS3B!Y8d;AN#no`L;akLWh1X% zkSqSV4CyuOkJzbMAG| zuL8nc z>g(KZ-qkzDcjYTQSIFm2TNBn4{Q6l#0F~z_%d(VJI_-r7q@8QBrR_w=yaO15ju9~e zlfnZextB*QltOfUZ_xwlJ}R@N(pTymhR6HWQ0}mK$~}O5d7Lshe1?Lv!eP(D>n00A zdhUC*PB1XQ8!LUJ!VeS2gI!=|3Rzd^QjzV#c`3fi^4&Jf?SY;21NO8UwZVbC^X>lR z3OIMc`Q<&P#?hl}Z>2{LN@MA6;k8n}e&~)}%e~f5byX z-RB%3SLMi#F3GCt5}36LfU@|T!3p(?L_z#%alsh)cufo*=SO{uFrG=}c~NjIfKWp_Ypu_&-C((L8 z6+~0Sf9jwX8O~7u%~9am>EoMS5U$0`mJx79rBW5OxXl3#x=tAB6c^ImPNTUb=_~zj zo`!mzQ+WT?TS8%oKb=|NroZnac2_Re?|^%$^0OP5D>D^;je*^*!ipR@1(bR4Q2$*L zwwnjL1K=#9=%?G)-)yzGOyCj$SBxj$w zaI|XV3aGYK902$68swp`;)5lAN#CA&_-XNh{Ot61#egpm_UQB-X6cXRBkd;aVR$OQ zc0CuE^Ne1SAiMyVP$W1naf@EI25Ycl{_8xc)Eu%$aGiH27Dfv3D6a!7N*k$<3ga3@ zP4x!iA)bLQuYEVy1yA^5qiG(68h|RChr-djYmOfrIsNk%61QBQ>|dTf)q&%nDp3YD z>gB-sfwl(jzXt53-0Q-<{c882Ho(?!j#w6N%m4MOf-Redw0E7j9E%Cb2%g?)gJu1$ z$4n_XTKZM;VVbhY^>>yFxf;kCLE&(MfO*`Pe(uM!RW$_QS$USd+8#w4?%i0iOcQD$9R2I0N_*i>ZSa9f3PXxI zv3jj|!rl-p~M5`9lsixstr;&O~@nb!<#2B{d6x%b*E8FrsZLxXjuk!0PC6UR6tD^ zh4V!X?6K{e)yE1L!Sri?IE@d;$iooWRGsL7d}~6ToMDgY!^B>(ey(g1z2a6HoQR)(z=r&#us$<$~eAy6Wx%t~`cc zy`osa8-Q~+1*WP<+LfyG2a%1^6bKj()LWyjqGd@C!=7C@ zUGI3#)51`n;ZmF2{07hom*7x~9~Oae><$j+$G4X*xka8HXpt3Ha3>-TO9m~pipvAW z>y_#y1u#CLRn27Ho8P>M4Qg!v&2n}z=(Db+*8ys>polEu7ep#M?~5W_{*s0u-YPFi z^k46)W0u`y;7k%I!?1DWRR)|RfcfbmWUeiFD2!aF zE^?_2?F0F_nwXMbW#Q*J`2oX;5pxXOdeSc*&RljRWBt-{8&U%6k~a=}na-1rO2l)< zwr*=#r!nBmnz?BCC60#J^p!I}>g9<3xm1b=3_AKc!8%IJxP;j+&Q07hQ<0`7zO)TW-` zRPe0==R1LeqMQJ5wgWYHf*Wro1v<&VxA`rw!}i;R0qCDky2}-vhrFR?xcW-5tT+y* zp{e5yz&${Prwa3Vf(z$y75eRlpv^OymouOrMsTJlfg;7#0X`}0`TYgC(MrL(`gybY zEGr6t8eoY;j=mOW1?(F+R$nHH|6p0w2#rn#gN=u zd#F=davxBOMXpLxh8jtND_H8mD#t~svt-OvCfUq^BJz|#$A(g;_UVW0ZFCy+9vd{c z2?sQXw282^K z*1lmJ2#^dxGJZAKapriyzB>=h093FV4TNJ=4p?kCC%+fOi^J)59|9y?ZUDC=z3w9U0lS?QtcfgPOBV!=+pQy?ESH^G<(2GXs0YTh zc;}5TzJy!0%z2H^z*>SkjL9%xz#};8as-W_Xb6g?F~#5BUKAsZ1de!rY+w5M8q%U0 zfjzCp2J<6uWMe>Ij5@P4{oy7{aqFKJoZIw<`$oa}8i;kCCl@~2_({#M-`0~PM;FDN zGr+xGUwQ2sg$}X91@=t7!=fl2dA}3V0OcA0oj$~Jc@GqxB`dBrewR#o7TtaOueQemixg3hwPP*Ch zudfS7S7T^I0Lv|y7n(z&x9w~D>%uheOu-!_Bsg%IdK&Vz+|w@peQfVz(EVoPzad-& z-)!E8yH-uWTtPXyEf8LX)!egQkC^gpS4euDdv>@k*pa;->Ua<{=I7+6MTOg|&u(lq z2ezQ-07i5cI5>n>v_qEy9)TLq=_9ERb~rw(U>s`9yc_8m^;9{m+%`H}=dIg@r}4OG z!8AUM0nQ{az`Fo8AH8pWM+X-sHDilK=i%cb%@NU9eAK>idPX;+Qyxsc0&7K@U%ff7 z&4}~s<3$Rig+1xGvj!iv@m28J8~Bq8g-52R#nb1~^665T?tFt1fRtPcoI(43 zL8~2OY2dzIl;ix()&y(A6>tQd2m39B@8i`<-D5MN>+%Ih^tOGF{Ej0H+98_-weVhj z6d(HvjJNP;{k6GZGA?_8D+EkxfMuIpI1lGHLl%o1lH$G{TF6jyn>Ozy)RT8KO_Mh#pzBxqy;`-OG$_qT!By>2Cf5 z`UJ7|)>h97jjq@?b&wU6D}a)gcrtp3bRZIRDbHFou6Q>cQuyQ|yq}iBL-heg2e5^=WR6_Sz-)?hC%3d(L1_ zijYU0Ud_lSa9_2sV_EV{Vz92Qql0D1vCURQZl#YJjb_&fH&+8^2AqnQ_DNp@<_AU` zhcv5Skh69}-qA)xgY`WZJ_=dW@zG01W3^zP3T10+1U3HM}5M$B8@6X~;KS7jxw@;bcxm5f%sIXwGz z@1A$^keWaMHhvuY7Ju}k1*isQb58XrVC~na0HQ;G((LthgjwtbixCvTLQ(P7^XFuN z_h~2RY(~m}L)h|RSjEq^nxiTbtZ+Kp%PeU3CJ zZl$Ta7Psh$J&%w1P#x%9; zwAYE6@0SGN4GY+m$q@UKrYnenZo1V-P>bf*PY3J9;tB;A1!`SY>Fu<^+iF9o)!tG= zinG6u6oQX^_3mBXK+Fb2=iEGwM7Pik*( z;$waC-M((j72w32T{iQg67!8?h7;>#l}3@nES z!Nf{AC~+YaqEg8FTeo-w6I=nN5U}ZSf2q$)4Jc$yzZUsbkGbP?LVURH=T{K*Ha~BP zzQ5X1V_b3aOyOD@kyHx6+jahvikb212>O>LBMMJxx}zua?cX)!TXxnSWKfg(A7U&E zQ(h?#Y0GYR1E*iRm02zpT+K5^()N|`^3omab&$V-RKBQN(E3@?clYr7HSulHZh9s} z8*}7S(ogiar(OWX3wNbnYUYt}QHjckeeB0x)iV;m?ZdLxe&n9llGolN&byy*lPS3o zhSFfU^Ac4Fm6+h&^BhA-z)im|B2;^-*pC->|I=6cyjx`)+xX43fIk)Yw_dq=wsc`m zos;ltg&`G$fTfbInnVT-Z;3ZiU-kCDd**l#9NE9h(f(_A7WIxe3!-WE6MJ=<%ZG#0)-G?&{2m$m&3(c3YbK1wO2(Fc|4 zNjI3F-8m+~fRSKhJ493%o^z%)A!&xcl_J#6tbv~mR@Mr@*}MX`iQ<7NC(6cEjv%W+ zpjn}J^HeYVc$wLSOF&BadWZAR_@g_|nS9amNQHd_r;e`E? z%ASxFgMWo8*8c9u@awN@pgP4oAq$m1+XB#|7p?mVZ=M%cq-P`%TH~eLdcN@La4~$b zJt~jmvqvZxu#7mZz8RpjAD6R;roSS4LpDfQ+J0LbopBcn+vh)RJE_NkIWV3l!yaJ{ z&g0~)l-L(o15Q5^{GLc}?QD?gK#^z&z#+m0*nekEQCo%IVpfsYS&~M2W2PaTzF*?J zY^YOFmQ$_uI?d12*@$OeXh~&q%=P1M1I=?S7vj_{($B7wLYwme&T{{r>54hmzL>*x z?K(AQ^ELXyf$f#~hMN3iV5>(J&;Gv}l?1FC8QvFbiv3%x_3W&wUtskK027Y}+yEwW zOmasDJXjfw%XFe;1G-2OT5%0mC|hKG6(5mtpC4~f+`QqHGwcC|B7;IbBfNq&I<$60 zus4fp`4|?C=h-}*4U^#vAFFWIt;qP;p~|%Ml$;M^YOwz;)~y3WD>rkanL+ViEuV@$ z$`;0dM(c4`#zb}jr(yPN*;5(do-iXC#Vqbh6*RmlTbAVknj`YzgOHQ!O-70+g1tZY z8f`BNy0_EiB`j~d23&T+pOXRWs0SUO&N3O!&pFyBPv^>8{(N;0Tec~l-tY1xTJS3k z*b2%vxwG6Rm6w!FoX^7yKy#ZfN6q~1Aj;Ks|z%O6*DwU@Lq zZ_*BwyS8KheePDDHTHHx4VUjgrum^0;}7;IvSt4lmYCD<^SJGtL8t>sMTWfOoYc;Q#ovd4#7rislWO0Xya zEibM-3;SIw*wVz)HN5z;pG2 zXo#!Ok4;T}1^gmlPd>QAdY)?!@86dweY>MGmSx`WcG57KdD(*es?KOk>hGq(o)S~K z$Y!U{0(&njZCpMr31=;00aHp_prUHd9uv{vgv_{NOuM$PvDJ{#=6aa{dG0g z$AJGN9jz-t>k{3HZKI$Wa^0vyNgGuBo~!Mz_H>7Jk6ry-*iHo`INu}k5pzwtyzA@9 z`?mIZ_Ae2USKkU*BMpR!*)5l-e9V&mzRqfZ17~C^PO32TDSZ~JyLB|etXy*exBlln zV%Y39gd3QbIDgW92yVkwIxsgshc)yFW$jKHjyeIde;9T_`>VlPJ zC0=O&nC=4pdVj1O=E>xG=cL*LyvU{z-sZjd@t1U-U7YS7_;%nnkzRRie)f`kJdeuMF}MMKm#)#QDKfvX*_*v%SA$HO(Y(W61a68YrBd5?u12bD z!`A3vFXh%&O9!#wvZmdc0b}hgi6WRk-D{{93&2ZJ)PrXe(Oj9|&-p=+M=<01c|<(l zu>{!`g8MER**!1*<)M`M=D?UoHMdGv8ba(6lFc1QrZm^9ed;dq2i?8Z=Vg5Rzj7cKNf1zPN%WoE{ z0>BFtSHCNJG=~Fbs?v|k1u)zB(<5~G_~L0%c@s-R8clGdc=mxzB6a(wh=E}oF}|jU zXkcstXx{F3xH(q02P%>=)O6daBlAA-1W3jhgeuXtPn|=}ds0`2$K&PGZuqOCmt}f# z;G6*aHk9`9@DGI$6D=8`#s$T)crMOg_qF;<7`n+;+3_3MMbi~2E;rSE&5NRl;``_h zWd`SXI}dQr87n%B^8&5}ut~Mjh5HyXpE{s#P?-I$4gixr;Ji} z8k-QaX8h}ce0(gL`k^}n+(e$;{odSHTd`rCMeO#JR9}|rcQ^m$R2+77X^+trBdY{_ zn!4@4hlY=<+ZeP{&fwirn)_f(cB`wMYVHK<@hB=Qoj)E1tlefl!DhTKwVk>5gKRH= zT_{jTdDa1CX^z|xTM{J~0lm6)eD=Lw6T+$wAC>hkW~J=zu6c+rJ}cn+HHSk%8>Zl@U2(LxTL(Ix>iQg~E6MV-3dKLUYgQDT zo{=7=%hmqVVur?pK)o|XkQcKxS22nlz|4@s3a{jYJP~@gyDjBdlBZcL1Lz{a?z^wb zcF1{(PY0P`kHHrK6jqh?xMZ*IT`+{orQ-64jg}eddza6r zzJy}4+rBnDlI4ka*M%H+c6}^Fd_nWRoxiV-F5VuxXb0eK`TfPG()-ot_yVO~44-_3 zP2`aL8UFgC*$^=Hr)Ja_etx5czyRp~zUp-Y3kjcFzCNa0Z)q(xh&7k7*I`VO`M7_N z=MxxGs7HJ{9ov~1Znf`Sgu3Z4|1+{#&GZJE=H6>)s>WLH-UVR1pJ3-?O4$1$)A!;7 zXKDzv<~1JJM&*4&&a13=okL2y=Z?9YE$dSbX{4yiJu3YPp9st8Nd}P9%NhK1;K^bS zd?jwmFwUa3&K?L}D0`d8J7vY`gHG#_wd&beK)Qe z!T{bWTw(YtTCF{co_6(N=z_H${8d2<{LD~3>TaTP6ivwd)}@B)aQP;FDkg7zZ}kd ze?Q<{LH|^-L~&kgI0L}Cg!^xnw+54wl1_sFQ$Vc0b)V|(u(A7G=I#4EY2Yo75zYdg z^$_2SU(Wo20~`NLHNf@U|L{J|WhzmK07kXpz=AUQ1&=4qLam9lhXE(f-AcGW%C;cPN3 z{a2^#O3-%c{py`xP@Fn{m~FVxaaL#_I8$I~<}zuac1Y|YZonRwL)_ZS@v3if8Np#$ zvy~7#45gh-=>>rBf@jPDE65HWpk!-*}YyOxy!6cxx_He4d|=3-Q8X4SrXa zfTQvXfhY6lOJE}B++=`<$aP}SM*uZ$zfjx<*drUxPM~rJB{2mD-wU2s*sosm0(Uy_ z)Gkp@9L^Z!f3q-}5iBFrOeVnp)1YRv`$ZzjnCuQbL-Wu*W<~Yt6;>RFAlu0!Xr{w_ z51@{{PqPZtJGG&{w0#Zk;BOyx-(JdnGx3yoq9<1xPfL)b61}3R0rs4^09+kWFC?=6 z`qGLu{G2TNS!w40TLYk400;ky4dXJv$-5&sZ@cI$pX>4tqrU>I1M0nN%XcX`-sv)#=3~rtaTI{kHee6MXl3UtEIV=*l$=iTk1x zoW1W|Iv6*H;_-06v)}+U&!I&b)kb`4KKK3J{&0fk=kkT9^qS`065vB`0bm*x&XiN3 zhJTcF&h*HXShkwD>@txFXEw)os1f%tzfb?^uy7_GXGdvz2=vWwQPrCbcYk{M!U4;4*na>HpA92O=c^St0&*hzJR>jFX>cn~` zS*`%E)oDp0ws+;Bhvr!s&qYL2*h+uUujNc12=I3RAEY?$c$?P*Iygh66>Q=L`6tWqDKmMQc-fY)#Ey)smudi_220A0bh~zvaIvb!UkrGLf6lbxj5a1|M zoM(}R`uE;j?l*=Us;jFX`k@_}aou%vIPAe}E!$?xIOHA8!MNWzQ##g@b+hOsPZuf< zQJB}Wz3%6W9cVT2?QwDfhP&!8sD-Txm0qa;ACwQUE`>8Z)26cZ(ZT$ghDFO#eLu0F zX*_Kv*Z}ry_rAGpfas&21(+6I2KyyVVE!i5Z~^8{w=NGx#b+Nyr`#l|1YKDqGvC`S zfc5$b2XGCSbFNi+by)!0-&N;a&PJ$j(2?;(dIK2BC*Z)+P9@?M{QyHVMf%||OIThdareJJ}g{u96dF_h~^IW+gQLC`p{&MalIt(i| z-#ls-yxJ3mIfmcfk-&Odl_v;FXWp>-4a~$UHj9f^ES?VbhC{0QMd1*{{y*L;Pxt zG>+aftqog(G*m{ABo#RTiE^exT1%j}fktz_f6rmv2h8bzN1SP{g@CiFvJ0DZ+H}CJ zVII5LJ}#n=O3&?9X~+D+VtqKlT8^8I&1ZNnG|A@m4Eqv&mNEc#k6vx>+hX(ne!v_p z)=BYUjXB-`>z@6_1uQI;wxrd>pI9NBeUb=(<&$1_=IqW!>u@)n^?aEKE! zN^h4CpkX|#pB7-iV5L|$@;u;T1&reB0qX=TWA(>Sc5BuCkTl>NfCsQOiQ@+Vi>f{n zVCnUvI;{#b5^Q!FYYczUzE*A%l*0y2ycD4J&c=_Czw*+hmqJYX)nA|jWFc+ndHqxo zF=?=nY|#dWTEW62-r1_PND1uev$_I%3bqBy++i+8n63-8s3Pnc2j>LpokZl0h7%TL z*PfwZt-@z8pD?Cz03N**ky^->Ghs~e5L~eVkVzCeTNw~?l-?G-ahaun1z9zkc66EsPA@A2k1W9BKR-Bfa^qRmGkY%28B@`xUT>kmOCSQW?&wp3VD`3uO!r~?|_lm zU(a3vHbxM%l3AL5`j0e$PC=L4dW}&&7%enM)?O#Hk2C{dn~m!=u_`{IsP7!&_(Z(o z*EJ*NnP*G5ex#8WE?N;HX=qo_6i!Hg{EU~i$wQ#j3F%K%teq@5KJ6k-*-Q>>K_AUs;Z1 zao)QLd5*Geba_zRbG`>LfSivKikb1st^U1-gZRo1m!R{0vmQ3g=ZhBPma+LtpwrZ~ zx6}QtJ6l(91xw=P6ZV$-O!3eDL*KrWZhHNYoB6(BiDBKKT@#@039Rqyy@PbzUVRP5 z8!%F^GErf>pQf3ZSg?I&_DMj^=7n}v+a#NH(lO%yHYbCg)p2k&u zJJa*=kbx^zv=F=-3(rnlIeH1-wtSl?Oz#>aS>tc=eS|$-FymCYAZD`t5dl>6Aza3U!WdwKr_^ z_P7nVRE>{Lcc5aB1!L@SFa!TN0+zP47%R!|Q+YaDuv*S&oZz%4lL~tUetTx~xx5DP zB9AP~h)r&^7YS;D5$wDx-#nSR0qe8~Mw(fA%Luj94afDgW%)Wz0OGpVBRSt}NdS9M z;J`o&l#txS>j!5pU@LeFOFh6EjQC$Yip7q%MQdXena??{H}y@t2$xc7J?x=3X!cGS zo+Huve3C^-3>>n8&>P_Bnxi)7wvN_iMl^mH0Rd2M5R$x&qL@ zTCit7toOO?-5{=Jdtj;U7AnAbP$W(jzxy(OP~f%hK5iPTQSRsK3GDT4(!7Ps&@5=q z=R&9=6D^*3u8Yq*;83=KVr>Ln%1bR6D%|^Hcd^g?6n$cSL&&%%F90%(uqS4i9X6!M z)r>p)qyaC`C-}?q)RXDC2;3 z1gr(*W9cVV;Khx~bbBu{g? z3hXk);b0EPOuS*gqx=nX#}h!;!CC-Z>me!R{21EyfWZx5#@BDGe%&O%A4;wn)h6_V z`eS!xdq?}{6lnYHbrVkCp3pG&1=G?sphztORP+qsLpc;3W_#zx)sai3yZT!&O zCJ0b#>;wBbP@hDyE}nFBr19oC>m_ zWVkbl0cPe1#{y!@K{DEN2e@R?K`cLb-)2t!nG`lW^0d!^@oH~2h0U|!I;N#1^yP5 zD_g%N_2##Lf4K^P+_z3%EV&4iwQNHa_V#%!WV(L!=-?q#UGmx6130*^VK1>kc>_Lm z9$>Gt0Vc7G@eK9$KCtgGYT451;frTzX1@I13wS(A4fcb1%EAkBdo22dcVG#v zsAX>_$Wg;aRn_ukRjPe~67Hw%u7wNv=tgy)Co=9lh?8_O3@zz#XJGP8*7oHC%yHwy zIdEB7PG8?#dGV!A6hGk&7=&n;b^!g7R}e=5#P@SU#?Ki+a_=Jn&T}t{MjhnhRlHO% zNR4QsEG4jDHN(96Eo0IJA7Fn-@ZMnj#R1|?`HVBVs=hl$a@7I+e+%flEZ=44E(3at z-7kRmD3-Y;lHi|;$2uNOT5@X?%pbOsU-$M}TJrIngbRx1w(}`8*}B*O$bn}uUK_uC zys_TsZ*MpuF|L<0tjpE|U|J;quHLf8B8$8N@iy2A{N>a|WpS(fd%(il!0#I0Kj~69 zK0ZHX)v?jP(_+0dkDF%H-lZG&bmvvnQ#jL|$tEY^_!O{*9PF*0UZ1^nvhI<%YLe`J zF&cfnv}etQwi0Tq_^|~W{QUf$Es!?y;sA$)J!QT2%%fK**)`#`s>18CV zyLQ~0x2wUvwuUzl@vY_o4?6ABs1l-Uxt83rJ79a?Uc!czqO}y<&0`{M5 zsgQBLI#Cb+M$N1{V!oNqAN^r+rxIxa|N79a%aUl4?|gXZ=jJX`XZv0iyv8TPBeJHj z4zBFEx=ce?&f*(5H-%0eHN@2ZF)JSaxZk=5{d^9#JJM3 zvy2FqH4iHOO7Zkvo>873@-;ybBqrI>K$*OdF0I+EGYoJcD;NrfguN9z_-{I)_|6T2 z_M|-@=hp~;^HsngWdht_7!;$SX_|GKv-H+fN)_&aOv#p%+@y$TppnjSsN1AI?X^IIj@+!M}Q1si4vSY}FZaGzy~&ruw->#V0Z z%d)s%Z>~^H-+KkH|MHN(sq6%JdG!f`!1v6R#9ZEo{n&=-C0qaxS=G#4{nPy<$_Frj zhDo;X_c?9nbR=P1Yam$!#clT_p3kR7^hM6W&YSOC-vz<&b3dk;b`evYq9~G~72WhS zoJphay9n(avu_?V0so%FbGbdEKAsuM*S!An*g66DB?ZQUFb44Cp)&xc?%)}nu090+ z9`yv8*q4uynvG-wVi}fTO@*IQu7YgbaW4oW55Q*Jlkm^>N<2?+PemxcgtdH-56Zt3 z^4lM!dN)p+DsIcMl$-EK_P+68J+wrd$hDx{-f-p^_>J|ru4vN`2yCD{mB5|7KQ6%Z z3I^k-u-SxF10LW8+1=`G;ktS9V-QCAg-3ME@Cz|Q_-K2;PZnNh3-Z=V_oL6^dlQ-@ zk0n{=T0F8kR>UB@GOnpseV;8d+D8{{)QdX561N)E8X!;0^_07FwF8`Ieff-{E1{Ou z>cAM34sbLq;-DyGaPKle4^Lq`DU~Wb#(QtASW@`)YHoGk)AC-_UndRA8Vdx1B{hOhRvIrrV-yf z9Nz=qE#fw*&C$$J<_+V>Oy0IFo<@G(0Vm!K_KQPN?Tm0w9$hpXy!ULouRbT8C4aha zmhap5voUzDjvv|5)HQ8qEqEz_c~&T}Q24NiM2*{z(?e+<-Ra!zwShj@mSACRM^B57 zi$>CPKSjn>d_jBgP^2WT2C2AN9Xw~2-!n0uZ^wQ2mHF{}xF*Z6n@zr5s28`cORyQA0P12>&s=iB?SUmsN@aTd4uTI>OgsMMkF_b_(g^~qVddwb?${qAkfGa(`! zu34M~xUPcd<`1uqe4m=m<4N%7l>Q_-3H2VlWlPV#R6g65Wg@s=g_{WW>*+0g>JcE2 zHV-J{PTyV?lh$p^k#Sf!TXy=0JG# zLliLlv)CQr<(>v?b(W$lu*0~&1m||m?nq{ae$pC;PrZbZFvzB!JR4AN4?$OVu#X4x zsGyF{etKb15B-tsHQ}s+#dCrp^|w?8Hioh5KB|F3kD-=|a}^k1$2l}^Jw-4CtfpsM zwW~f`53r})NbbiqGfep%dr<3>lpf(zbtKCNgB{Jn3q`M8Wa`v&xZ&x;9k%0)K@ClY zyIimIqk_GZY?zAVDK}ebm%H#3TFjOoZ{hVI+W?MN{|;xOc|+W#mfdJ0YXE!-f#Z0e zN`RgpnJ*o!z9);d8A6vj7_Ns27M#FNv#zE_^$$0}uEro1$MUWNo?{ z9%uE!g1S3+vWNHGQ}lk;eXkDTbyrxPm1zV(+#`|Ulb?Nh*lY-cJ%V;WBpCnDoI!Y8 zeE9AKcy}M#aU8~9KNylruh}1+NAvbZTs^<|^8?bbh5W2Xi=v!`1Hbch0bsH0*6G2R z0(?-f*=*`9Kx_Wxa79rTNU|;8YHfEN%q^h_SpqcB>YgGcQm{+iquN6~g*}dm6+E>2 zUH4izTSf0*;K?)`>L9j#9fNEiaMb^G^i`Z8vuO}qupN`NCt?d*aTH^*{QS9(0=b1>c5)%Uyj)U=3`SuB59YL`H%jkO2CCHUK^#fs1TTFE5dLCkxAx zB+sX*>Qt-``(37HTi47Crg@~V6|dT@5+@Hqd=UKr3`Y#HWpQSw#-cIY5gTJ?NBYXh8_1MR}P0MrYx555~n zdy=mJZyw;CrPBxo&mvKl&>4XDUgCPg?x#cv3;8;hrJZ9C586FE+gaM4rkS#C8$kf* zIEZs@PbOTbp95xG&o!8Zj)3Pzjqa~LbH8aCYcq;)+HB|4l>Ui3C}BnN<2Ya*%dRWU z`$JC!&GVA1soPD!k1|%mJwxcmsTjB~a9`(ftYUzlYrC&KKvvTLEXa{5Fc&14u>tT$i@+iu(`_w9&Z}Eb8+{?lRcEeIGENm7% z1AK84%fZcnDwUwm3ACkr8+UE-;t^hQ-=|aS@0p{<# z$pi4KGk|qb57QHnC)5L*9jMoq24Ih(hu$9FzGSHhIll*cIp#r8e31RIZ9*w*Qg?m# zOjZLf!tnUO=OcRF5)~|NxBJ?>ubtLYH@QZyr}Y9xynMhGzFY^Z&cT2I-nBB|{-Hu@ zV%6_4<_YVGhUd#TS6Vk<&r|TF8K+s+2|_lAv;mAEi2q02k=7`X44w* z=0gyey6#26>2b>Fz;dGHEWDn+K?cBN_|$yrPU!vdIYUk5`9uSEDJdB2L5})>Pwv1) z--P5u?Z8fp`~tQBTT%wpQ+HR`r!8QBS4cB}*S@~+M761|4^Dm1ZMmOcCq#t@ee?}5 z3*~}lGk}LT;OzyeQZIs}*l8PKj)E~AjF;LKaBDrl-O;v)4`HIf^MdJ9r@5X0NeDyU zhdCJ1C-FkKK7`vTU(9z|(g1g;`>hlJ&(Y5U)82&btQZ>kFd#SLmrv+~)ow*#s3E2w zLco14V4GVL%(d`gXqn7?7XwrzEJ06%j-56Mdqz?v3+ z`au275Y`JYNcn`y1?eMH8;Kej3hh_efL=uH~Ru;BhMqS*&Xv`ArV7Sui@|R z2lEm6L^z+Z(k@-dk18n!gq+;>-gx>k&=#(R_Y*EWplJ0K` zi^3;+oM2APM6$?+k)$f*`C5GQPbLD)VQ96GN-8Glbkf$uQ}c4xlbd{GLjn!8^q~=*$J%K$Vif8;*>jvQ!U-fyHD0AgkDIPAfDwkXa&gN+_)H)lJ)&dOX!S1;X)9^m|s1+n8S zv#9|VIflVrAI%WN3juqj53m<9w%AY?Vgwj$aUZcxu6xX%E;3<19bqn5fA*eZ2?e6&hI z%dr>j-rLdkv-W%O?!hX3z+8YA?AyOL49QT_x;7_A7EY&wuO`a7lRA-B;ia^rIhs_r zWuU)KVT=?8BQjr)Qn@T_hT|^EOlsw4zZ!|z;!y*f9}-Z4L*A&~%<~kyxu;ldv^OT~ zW2+t%64c;%=o;r?i#6it!9iGQPH_F11a*)A#1v za}y!j=cLN5jb#rTYpi#%^|^P<#1i|Tk?ppPLp`X!0GO#U1h8&rtS}C7Q-AOP#um5J z10XU7mAu~mAjwEbXOjCoWUC69d8em?1^ZM_llw&ilQT6inEN|UB=_bgu7$Wb)M1kh zjR)kq19pMh?{96-!A2sMs1`fc*Ao5$|{lWInRmW>RfbE_Z$cxn7g^H2|1=W&zh}w%+>Q%tzrCe85cy1OO z?4jf+z^wI6*)itvp0m-z`1a@z3!Z6n9fqbx`GEV!Fb7~Z{s{e# zVRKI~#jJkL)?oFP)*E9w(SSK6;w-^?I~&YpP(-L$S_2#`y^99$lzX+@!Q7p= z!W4za=bkG0&It4;O?FTIOydbqUG)rc#n?2uKF%fQcc`FK*iHBQ%;Zu;!(M{{l<`Gsgc zk5tRZO!HbxIBxd`wgg%oknD`t6W?&b1`9jue22DRvsF7ZDlRjC0p{^y9*{hqC%s+} zl%383uZ>&a= zuD(>~rjFTz?Ypk_r5l1qp-6t1hBFHc=BYEtr4TH=IiF9+<_f}n(9xSEa0!pvy=)yF zLf$JKEIOPlyGC)nPtwBHX->XM;9Z1h5NjJ<4$+>WTt}2dcRB1nPwE+{FC_`tRKu7k zbh$olg1p;bYRReq2e&V-Ppsxx+i-WvlmL+c7!t z6X5u&yae$y+;;u^T}KdOXBzyy*UM}#k0ldUY`)iE?h~1mJ?Wz5=PscaLg0`n%#SW% zhjxYeI$vx9?%yy8teNl7^`PZN)qK8!p|e-j7hU{{-@~VdCl(&m!|D!LfAnxJj0trK z0I&!&(@w5}F1o_J)pze2O;{RDOk5StJnKVUJWzvJ(R;0g6}z+6sPH(^pmhu8%YJN# zr{SM({4e6O#UBAD0`6fL9<@zJokMd-=uDv?h(beF<%9S8Cqsu`$TqkE_z~~V{*irc zbL-3`4)cyauqpSIxB#pp4wwEEmlkO=c)X)})3|a^X=7>Rh}n7r`f{0y*6sw#+b(LD zD2kH_v9n;ZVsUPZL@f@QV;M-Z1_nGAF@AfEV}q}i2&W3dS(x}e?VePoTd6hTz?hv^ zLh}$L&~RXIBfuwfcfgZX^P1f{rAczTjtY3T`c^iQA)J;tKXku*pd`R@*NVI6*W~_8 z&+@z3dDHLq@#al4zTn9D^!m7=9JOHVZ9Gm_AF-3OAe^Wso(}Ii0OngO6`)P=K=_(B z514v7HE+O$D&Vhhj1?YdL3QGDle#-<6|p?&>bcA42lk1Yu|*#4=T6zg9cL&!#BTJ) zH*+N{2;2Ap8cDF_o{Iz+yo~lKH|uS1;W`DW907#S=Ld%P!4)@jdAX=!23E;Sr1rU* zp1=xcnE0Cbr6%;!{;=i#;tty1FG0#P00z?1lY8EAq;*(q7;adjz6Yj=QgaV*43LZS z=4GtmszKdTu69mw97pa}?%4Ap8`+vzX6)xf?Ep1=_*t0CwLS0E|;h$nzw1-eEP8t z+c0=WmJ&61f8i?Hd_8i8! z>E6v7y&f=6g$qdKrpN72?I_}x?fx(Np>gw{%lr6ff+5L)OXV-eOeKl-&l+{cXZ<254h$HY+@M!BXoo+v*RCgf7d*MjVR)x zVD7C;0mdt3fIZDir6D-N(}F?1RE~14VRP8w%03ym)?YTYb1kQe&&HaiwTS_*bKX43 zXM-5wa`=6w69qXvN?iqtzYAx6??#65(RZ~wyjsLZOCsKsfX5O~v<~nG@6I!8dCo+g zY#Xb4_cc7@^(}Oak7-=_*dzf-Wmjkq$f8=^2WC+tKc8Y!#YbyRvb3u2p0PCQ12}V6 zF@zyJPQuM>IS#<;vBp?52Y#I$mt|Qoyk1A?M9$`hc5MlfE$z zO?q2|*Mvh4lbOD8-|Yr#Y&G|Dt7@7_tlKuEb5&Hp;dBPTL<0GFex99&$EV_f0~`v^ zN?l+x0iE$o$GE>H-xl?&G*cnnxj}zRvU`zNn%wJ!zR&MQFHJK+zI#@z2DR#f;3}So zF`U8f)g)vP#hrP0=i(d$VTk2*&(x3p=E{-&obG^WWZ~JkcPpcutsSr|$YF{H0BQ0z zndi}_u8C9wR81quQnkQIhtq6-psyJ#DQeo*)5=&rOT1!dPvh=sh^u(45}Z%M_{2^f zAYiiLi}#p(-^Js}B?iRLmMRyW?HlS&p*De{404- zcr;r#c-EAx^C)SqFFk-kkZZtEfvp&>0JqQg1N?c5R?i!6E1Gv|O6R=T!1`6#6B|r7 zd8|jF-}1h+4lWsi+as@IuAR>Z*C}QAt($OB!0+>brfGDfx@iRq;{|cpiWWmLjWBEi zWv36h{`NJr`b*=4SG`7vi||st&Mq&Var${?Uax^^I^j^CTZ3R(hA9_-UuM79xE!xx zUPk~hd@>sEF+wO8E=!kEr%-)QtWVwLb9x&`b}Ji>Xdv!&9`OA8L;`9l)TdcjAGQP@ zL-f$x2tRLoZOO)vQP`{y#eqF=J}@U{pM5s>LmE)XH{jrHNs8b`FIl6aE{g8HA(Jgh z20wFQNU~iRXc1Ovf_W=*bmDI{7o83&q7-W zh@YWqd}f#?IU*nUocHnM0Zt2Z7h#>9zrmcQkL*6?1b{s5Qepi`u&)n%V7`eUe5aF$Fz%_?R}T}Up>K30_cpI zDgu_K^I=yB@`SM)t$dN|GXFRwq>W=UMmcs?2JsPie2q)-_duHe*h*DTxCRj&a|q=3z$H#$KTr|GYlm&UD+!>^xq^aWB*on;jqQzu5=I8jfAlH_Gcd^A8D*htozZfA2>2-2?{R z+Zqde&+DnngPpXe{cE$~8HQ@|3ey*FR^Uj#e4oOhDp$6)>LzRa1)DVPA{8 z>2w{14lviE-<`g+vkbdU>pGN=i^(1*K@{zWKZ@Hqp`X*buWZ7Z;$B3<{VnXjd>56v z-Q;Vr#qfSFEyPl&5Y`F&Zm18_EMahQiCS>|B?H%|AH9oeh}p#VM!N+9uy;PbtB=d+ zW;-%ib#_P;N-svd@*v~iy4&#fD9@?qsiwA&Qw##rx zA9yRni27kZya4tw^3HjdsV2b7hPldjNyb$GpfZFT3v?wbPEA_ef5CNr=ndNT0Q)*+ zhnP4G=C=oyOf6;U1R(HD)ec9vZ%9{~Vs+ecD5-ZW!u3eUvvuMfb1$M(_zb|-LekWQ5Cge^`ysid=d2CRYY8X&d8 z+b(W;eTBtw+U!;k47h#;PGH8j4I`y<16Y_VY|l342|;nd&SL`c>G3P@ksWe4d+@Z% z=q}5mQW24IsTo?4uKKmzL%mXiisg2Gz};~sj-HIex0!PYn}!i*0{cmC;j4bF7arMk zbaxROYTj#8AbtGSY~KV-PW6BCs}GoF?OHJx;id^xvjc28UB{%zKAQQ~cZ57@GaK6T z0!R)_{#=%?qv^r>Hw_rmZ26dSJtp|0zH>0@bcR|n?(r*6g=LKv?!Pm@jMsZ)kkO=# zEcG04SazzzBca6EVCsY@60^G534Jx5-a2TawJ;wyGF9^vq=5~)3VF?84LrJzWA8*& zZ+^!6@fx*+o1vm}e%K_iro8r1z`*J~iJwRU^ka?=W3Vy;cgq04e<>`ZQVt23^Q_83Fub zVE%zWeyAj7ucr-*6lH}W|29E#11}!hOrD5~JGURU{pKtWA;o7*5A(Gcm}|I`d-l0F z2UC+XQTnF1Ri7EJknHWCTu!on@^A!6fc^Uby9mHoRinqyF4VZH6+qb`Y@u`7ywi<( zY1QL?pc&B($fFX_8&QK{cNC26_HtSA+ZNubF2&gT2pPZbvw%O837+bE8@PKnZ|u=y z`~A3k*AKG7GewDQj&_*E2NMLr+YGX@XoA40>668iQr1$hyO0a_P#xb?(n6d7`SysS z3ySgvz@bcEex4(s8tlusH{n@wlWiAJ;VGbM&ZAkFp7ZO@QH%MuKbs>Jaf6Lkj%d+S zz8Yk0-25pyQYQ;!nImu^-Ejf?^w?}VFl}c9W*e=?g32VQLlHh3rQBOGBY|Bx1-S~i zqISmC*5SPN;&Q@fwm0{Fl|0mN6ph63dW!CieFLsz$JNxlvaoJoQqK=;=E+6_cPnm* zm*e+Yf-yFfkb0NvLKxroLI5*8`)$3*G?}J3TQx<2F>SA%5I8SL7T^0%m`D`(iO-gD zu#!zA7;pYbdz1omhN8K{@=feLcV=iS=<#|^bB;Xbqg-4hPgwdELayTAI+tJ4?|CNF zHu>5_64>!H^AQL0Yvt7`ww(;f^>NFZqM$$M+ItQM>^wRx-udDoT!Z^GlXa?Edn(f6 zIOC-YcLcK2yV(k`{9(ajE(M^);(FR(?Vb@qC! zvSB+(`$>VlyS}MRCX+?GK2a(mVNQe-ZWNX*-c|$v_B$NivR#mMqunVcx^CI<}4DsLS{p!SU%Bm^k}t#(ue- z!Se;fr%}Pwvbk8HfCqG#r`NI^T^UurUgvMGlC@!0l6W`8cmm%A`t~QBUe_1?+xh84Kbt9|PRpF!T-$Xd2_GUX;8_yN5#?&K!C#%uN>3@X#Il zxuga&lsm)Nnm6F71{NonCF|}>L%eb3i8IlYzIYjetO@Y=`_|=_poFdSap(BWwZ&aU zx7uR5N9pMGY6ISiAiKC|&m~$!M7pQ_#MCaZRAPx@@0*JxHHut9q#CSIF^LMekZ5G} z)=YtAn&^7awR>}s5aD$~DKFKB)Nwu4Z~J{wk@$6rlFFvJXKDn>;zaMVS8Z3)1;QTt zz-_2~*v0-`D~^32tAW^yxL-VyF4Z^018=)!fL(GWx*G21dd)wW*M#8RRPKoeb)vjS zudUB<_Z*l+%eD;(VzA$Zn}BNo$c4UFN6F%A=>QDMR7J3t*!S-%!Op}us@r7d$F`y4 zzV8Sga$Kg^FwN{zJghX&HGu82z6#TJ6K?4_TR5KPvS4nDntO7sjdZUlj4BD=kda-h z@wHmr<%&?WY+;kF(3P6O+#=!b77y&Yhb_e@S?xD@)jvGNU#pa40~IM&O+7q83bDf* z8#3#bw@TC%;A3;R%x4Bg@7q&g!oZ%yS4} zTxqsZz`Ish(&>BdZo;6Wx8E_mse|k_BdctN4?rB~8)FyazyX{!WTJ7O*=Q*$filsX ztB713@`i16Mf4=9yV7dc+R=4J>0Klp6CwHHxO2~kjQ(-*EBl_aauVjUoAHu;e zL4&f18mE6p=7AH09rP)-aJ!73 z2-~b3KnSerJtQzk5%^ZG<#@fY;|utL=7kC4s^fu^+1vWg-8Z)0AzRv}o;>=s$Og*S95qG|RTnuo_oX!bvX% zk^~XEL@z2jUMJx`p0T%Izoeb^kdWc+o(^t_G4=oowM*&6`69F=MLj~C$<>OPBYe*; z)QryeSUu=%+rF`bm1VfFG#AX+slMDk z;jMV*)4|8nmLSJ*U5o|zq}1fC#|^BJ@(E?+;;K;S$w$qWP>%|+c@x-q zU?5Zmb#D~Mbujnkg$bN^!TL-%uvtmugCFWsvn4A@)1L;9c|K179mlfk*+Rkk2Fz!6 zC@>PIoW2aQ+LyUvG{?a|M}3TVs5Lhr%&vY~+)Z2~#C(P^HlZz97IXoCrdR@+i-8~ue;1z5!%#j!7nRM(uG_Oh= zIL?90c;BOXeW|S&%7#y)r2cp ztDKErY1Pqe)HJ!&Dbm9`S#GLLL||g5sgpK0Soj6C4f;0NrSg6Ef_b{8NcDSsL|%K= zkDC(kPby1uKs0;6b?q-Vv_g(o-4a(?Y+w{H@T9(S_(0(TAJE>XQhdl4rNpagL?sGG zt{;atsdD(jqxIZ-m96zL)+{#nO5U(+c00|0pULm5z#d}HwR$UuM(r|*tt430E7oq~ z>NT9&gQW$0{^q~RwP}NA7Fblm@==TXWLjk4@5;#WtLBj2WeVO&;L0bMPw&#JdDFJq zd|rbw2Hqzf_tyuDKc#~CLw}20&wQ!Rg^on~C`GVv@*CE2wW&8%H|Nx3Sr%EF)B7lUVy4d@ z&o&tE!>EMycnX4cvi;m};MtqyhAPD+EUvAjK#uF`=HBE3hV0OM^V%fA6ckdUuJ1!# zx3OKejnhUP-Ec37an;i#!mC1~j3R)PdjP#dEsI^QVEH3F*Y@g=S2M7|zOH=bz2nao zp6@I)VD(rd-T8;E(}!1y@>##;OQ6@24iBE(9=JN$h7L(ER;#`#SK4DFf<^Ns7M+DU z(Xo6Wmg5AY)VyJTKY)s8_niYjZ+vxMVXdv5MbYUs`I640eG}^RCq^`*A42IGYpl^J z8?fy{7;v=irne`+2ZM{O@jOs4uKM!S+Iax<#rG`DBgm8g@K{)`+Xbw6&#`N&7N?^L z)b@=e%cj)hR}UBFBY*R`4dd#}17M%hvWTLH-gy1ETBN2?sCcfDOYupfAn?u8-#^bO z3_|J_)RDYTqvm#4V*bQ2+vEsSpw-}=YfLlKG?kwtcM^n7q~{`&mHf;j7Qm)Ge0SKQ zN7N=oBN(6F1BqW)@CU7vr$W!o7^}~wZ4;kq5E`# zN`Xv@3&6iwE|O;{j*&!0pS~uZo`NfGV)C3W&toMlu>V31fMN{Ac+pJSkc5aHmVH z3~A&uh>37g^w)9HPKZLCx4flo=XQ7!u)BzreCyR7qDnQpFPc*6xMF|4n-2=Cv2lJs z{S$`f^==c-ZE%>A>L?Dup08(2-)Xu>*z}WS)<{=nV74m95y$u3g4q%T!0=$~`+R)8 zHgtdYZfjz#5!ywYe6FMdZAio;to6rXe9@+%j^w+TyU4xcirtI))h_s8K_hy$U_e`(=B9O&HdsihMp09~ zj^n!&VX;}#&u1Ip=kua8I7^-1 z1wmRWnA??kye-mu)knO~XJlH3e$W@iykMqQ@A$V5--@>ZHC@*$m@iSp0K|}j;^gS2 z3I*k&)XbR?_5|j+`{l~a^1I;k5n0>-aH3kdmc$vJ&)ihNm;~;=-kht0WPjJqCbb^qkIt8f!bOtD2Au@)`-pevW1jh18#tO^)ix=OH~Y-4=<>=lox zekWsc(DRf3o~5`!tLzn@heYLm^GaBTR_-Q;5Dd+c5wxE#Q+e?RP8Eq>1j}WV)v_vg zd#*=IO^^_)?q;EqK^=Ypgf4s0-VHzH$?{5of7okUIrdR~kg0ioJ!*eqOyXy3+z<>H z_k%4MX^f-I{nWETV+Q55R~9l3DdrdlwsgY%nWNuaBEi|0#QlV-v62A^Fnm$I@Hx_; z-TmhLEJ6w{3A3DhI_IZZbwgXi>RdVj^l{VP?4nH!pi}f*!O*ZEzK5XQK1#I%bUa(8 zyD~kUvWCMjoB~r=B*DgeTl~PY%5`0BUNNghsgB-eY)L&o8iQXSWiv78mFhQ`KM@~` z+dg>hT=gu<(9-DTA~O{(UBCeQRk()Lc%pu--4)PXU}(=wtte`Ei|EfBENo0l0OXd= zB_LTREL%1S`+KA}*2e+sf|BqiZ3PPM&y>axMhdSwUEsN=-rx)NURPFsrYY{Q3@aTJx%DPig9UaHh~Uaz z=R>7JA>yaF46^iCXDpz1QO$ z0RJPrx+}ci)~Ig7Fbv(+VM{X-f0fFPG3u++_n79m2h3rh8sdDvOjoKMNDNtKRu4YZ ziSSxMdZ&g*HbVVnLzWG_m~2C8B>Im6bI#TT0!ir8PR;GNtV>XUVLX~ z;9HVAt7#}wo<7LEVyyt{0Nt%#stO#-e&Ha$xv;_1fxEWJVQrL9rV;kyRiswzIO6yR zFTWji<={En{fx138tcAtdEWsg*SRXUnZB`YtAja3PZ@x~t~QQ2&QX+oDj3DZx2j>R zKzWk7&ONvOO0tLCws3ALh33=VSQdtv&xY~n#i{PyVrXRUE)=%J}AC#k5k70aJW`ugL8Sq^03xXup?NH!rTB(sI6hB@aBee zsPiV*{Ujaf9NenB8#B7SIlzSF9N_uwS%G;r>3y2#{YB_?9M21WFmYv?qNvNZnP$xj zb1kdWaKM}_0me-(^81^k@vS`t=(4ucG+&s<%~RK4tzx&==#1er8epB5iInQYZ(&YN zKzz^nVUfcKd&R)I#cro~^T5*#U^c4Y$n!ON!d#D6mP-sWdrW+ZC)tJSmKNVb6E3o=ruPtQibm`1-lw-3Sc%nW-Y zGq9%nTO5s7Grf+o_KFQCDkq#!s1@|-HgM_6QL54gwq(tTRjtJa>gM=0jV44`f-!Oh z?vh}=CzhkPkOQpgdG{N2JHa!N9`-KReKzq0<|+rY(bCVxQBDIMXn904sQm%YcoWcU z5l<)75yhRqRYRyZOnkkPd;)7DVN7RYB0AD4miye{UcZrf`slv-6b00U8DOm%fV#<$ zyl=axkU3N5`hhE}_yF=e`0E0spW5@=v-n>06<#8OW`ZDFk(F4vE&GUVw*)&+` zag<)oQ2r)nmXD$e!5%cvY{pzQ9%FQ&@FF_#v#%bKdT(=uLu@i!BoV+~ zSujiEdEe|UFEcZfgMg$hC~>3Q+qazbP4#(Bx6Az`T=(;YHzI+ik6l%y5_JIAL~GPz z$han?g37gTjb_{IH{U;|$32I+{3e%~S00`=6D`RhG2c627btSkYcOF!KrtQsR>L6( z!!B#!`)B|R1K-8Zi+9I$o2xjI-<jN`g*4*-7&r23NtSLUnZBUXf{9s6D`4AdE=1A$6)K=Aga0mRH8=goV6 zNEpQGu0^Y+pN-2T@iWC&h8dRC)AYu1iSSHf59@b=fx@^8;9XLCE?$JA+_2}}Ro2y% zWmfR~!*rUlEpVoNuQS-=+&QgO9ob;s>Q8MeFch^9`enyjU zoH5xj%_wZ!ww9~aUUL-J;MuWuwI%0J$WJtf?$I;276g+%hvc^|BPkzvyV5j|dSEJA z6IL?k^4pq6c%~IW>K;n(h))T&-|(m^Q1p6TQam|4gN#`Db{9-xHOHmF4R`_-Y}Dl{ zfk~~e&*fH1VDAhBmSm>X_hF<3r2lLqaAgHbYvu6nwrD}C6Wd9Z@Wuu-VLu7h0dH8CyxRUO8^- zOXgj{*t=7|fM0A?{qSSw8&~;UU@K`|=XtmFH2?Z6m3yvR_H#*fV(UK1(~nDFmr^B7 z0k`Fa7Hx_b;7sS7)0@z3Ts)pP3dTBUlbi@PH<@1H4p?VS1{`9_97*#GQ#Jr|tG4|7 zG)H+bQwlb&XSC9bcFSjLcdlt8=A{l$`5=dvZ;CzVcp3m=Cez!!(3oW+4oR< z?=I5#T1|ZQJtL&Gd*4MYj);mUFIjz*z#K$fvZFhbcYP7l;se-zawpUj>g<^C5YmMC zT3M3p_rt_-FU^Ml?71TJ=@9|8Z)so$ya;OUqyv}5I)a+gwdN4379E_eNh}WD2HB5* z4`o=QUg&p@b66_Z#c=~JM z&s?Y}iA_vupgKabI6JdYg&^koaJxuoHll2eu%t2;TW@}zu%WPEUSsbOy^U?yhXG?G z*F9bI_T7;Z>Twsg6W{^{66*fq!`fc6Xyop3IiH%h(VnZt3{ma`xB_Q?X1gJ?RcdEq z3^ar!!FrJG{sz8_3{XqmhT1{DbPvIJU`)E~&v<0%aKMwrQ@?f2Lt~>e?4kBE2Z`ku z;#+I~EoqJb{hy$egk9CzN9c*4wWt)KyzK+Y$&7_<&V=g3h5LI3c<&;i**!;Tp&|nm zMZYzrq4=nG7JHum`rLpve5S5rN7XtMT!(p7Fb`j8o6j(vcZNYwwWJnjoWb;jSgJWb zjLE`t&Kjwc$ZwbHBY}0V^4ai0n6C``&u7kLzYC1@CMd1_nUsw5-PZxRkno8OOnn5V zL0-!O>IgCs%q1NRrw*b1SF*J9dCF)tyGeL8&0cM}0DHjv((U$0jH`00*!spn+faXc z8{$?$`JCN-6oP=I>90U0Si=mms;As>fNfYFv50u4!3NJGIt5brz6S*HV4sk?-}wpP zt?wBvpB>NAn-8E96dsi2DW!}dSd zGsGUc@vY^6H4n^kgcE(M79P*~4$$5QJS)zvTIeLMwI0^48>W!b~-FGaVWRyWlchh01KVAYn-pAPy~n}8vxHjzWP{(_NHJC zMS9=cD8mB(R^7>xM^wd~cQ(E}AfDuL)GR(<%?04ZN6&zw?ij-mWW7|}cU+~<)!lpG z2uXtYbX=yLpb7bYhk-Q?wcbT?86Hb8u_cc)*vKPv-YYPUDSk-aD6CJCUnAaVoUcyD z@QvT=4H?x&o&4nR};xD9xOgm|;- zxvPAQ1A8C#w#L;@IB}!*)gsZvs7H0jsTc$1OF<1jz49c>Z_}j>>Zp31gqyf`c3VG^ zVBRzZP=+?SCh`FDmA<+OG)+;jhKIEiuqql%QB`a(_PfD4>0?#o95w>s_0MrIwN!pW z)plzO=92FuZg2&7UzL6HZ_HHv>MBk5ZQg`T2e{k5o_MwG4X2~3J1$B^7Y;B-eW=f; zJm($Q?EdF{gu_&tToEhSZ*0ADUmG*x1HSC|*`Nm{&)ciEgC&1CiBC0ii#{WTXYs2R zMgr!WNJprhFTcH^zU}CxpI8|Od&>{cq3rY&MI}l0)%6l?M%JUErN~FRc=xYPBM zNno6jr*}L~V1Fc=WzsenG5`|1&b?nzsQE=gJ+U;=xJ^mN7295`@wPC!f@fa0)5Ycb zH+jW0@&#_^$``JY^;Ml@^M=wD#GYA-7Zol>c z>T-FZJ9z0QNQCRUE-U9tX`8`$y%k`YHaF6y^@fO%)fcyY#Q`gJYze8j+$=ZP->TnW z-;vL$07P7`LH<)~L@J(* zw2nvSZOthkj(S;!+L~kmtmg~Xzp?(SGfH|@y$yQ{$+%2ZDOsBnzc=`RHj0op`fo=iC${vpV2i#QRXWe%5e9a zX6AIXq$U7sw)HM(oQ*3@I(l-pfc?6n%^PpZ)jU3?waA_KtuuofrdiIAJ8-g>liYru z74M$l`8O#LHhE^-4h`39bA0PCpvD-W3F*CjkF?8@&bAz*CrDPUd^MTPmr-y=u^&l*XMJg)8(sii-XVFwwl3fwp^s&4i2`1PU0CogvaD-`WZ!2Fjc7yIeIilzz*W* zGCdl4A<`MH%=u9ZdeVppRr|)kdYndX}GfCqDk~BmfxC4 z%SzK;l+H!-UP!IVVysZY`E+=}z{u85JAI@9=V?-D<-ttgnN@|?uPz3I%5p8)1hi?u zM|@+)szB?i1AKnI@09K=Xuj$c=1Kzz%x%-YKR>k}eO6+a;`DTGn0K`SM~yiCT@)^u zH<6r{M{8Rhz=GDdhBye;c@C-7Z35Hz+(HrfDQXtoq&IA7MDO4FQpHZ=thB5TYr(U| zHcu(AVen9#wXLk)3l8o(k=(LRtIuRch;;DXPJ7yN^!0Qz$ar$0#?t$?-&dH~NT}(&0Uy5uw-3+UO8}e6-ET4JdnRxd)}~e#cO5WRGi-JSHksubm}d+7Sb9J6 zB?Gmbv*(~g~DL@pBo=wO9PGU^Vo z!d$t*FtY?OT;4CByJ~H9fa5dBNyb~xDNZVd~ux9q>USdzP#H3 zgP9%X}as~Q&dV+rZm4(gqNaq81ewxtb4ed!k1cJ6kre$Df-?+@0h?qkgw zS`F4!#KL&%$&vw1(90U-xHqmuyXE1}hoaK<1G|&#Ck#X)a4jFwDM6$FZ=jjjt}dZw z43a;#^#J^`?j?Dc88-h(*Vx&WYlCdyL2iLnU)6V4Wauj8-q4W_eTVtUG-oigs^Zth zO9oq)kDKRw>-`Wb%i6o{k29vEOLshAY-`ZO?XIri`>`^ChX#AfHc_-+Lui);QlIW! zRG8VO$YB#TU>uA3XCU`TR0g4Ao;$%9xgIzeU^9{xHjogkmFU)XjI#|1`^7Jo%)*+V z)Amj1V%$B=UQtyX2TLyjjRnuKeAf1(Q{Ae$E#y+I-VS{4?TkYGQ_Q`az^}kmCaoG_ ztU-gtS8<>O2R#20lt=2=6^VT7Lw!0Sk`$Oz7xqS2Jm9kif=RPE3c^@pug_ke<3RffF)2t|1pajzEv+6gt`=%}toz{FI{x{5e)et?t?1{)o z?{0kdR{D&w^Z9VA3$Gt-3q1eZyx=2 z_o8FHaeN6)+Z;;28)AQBh8Sn)d;~7Bxjn%BB{7+NqlPs~(Yg|He;am0dJZegXT&)9 z>NLXh8*&QogL8WtcnGzG6B4DC=xJ2aG%7<_komoHBceP1)agm~S|V+NR*7|M$UfH>u!(nB(j)KbLae008e^AJ&Xy~`35Gt) zZ|h?;@OO_YgXi1A$@916bwX=x_PEEi(i$3tY!*Mi;w|v(uzNoMo`0G82f-;Y_w}1C z#3Q0J8lA3>&O1`@zAx+waNN4)_YbUjJPSY1%|q9C+Oj?9vhP8=D+>88!Q4inbo^TQ z_2((bU%dAHV+u@5(CW7jgA>JC%9~K5cocuG)1HL>-4MnB5_dP8cY(}Vr;(J=?!Yrmr&cCVN^|o@>v;CQY5T^?^u2#tdM zfAl=kIvGnhVUtn=)MDGjjB1AK_q=rzx?gK;-tbX+e|WodZG(q+8~SKlk--1%&kpj( z&y#6;+3IqDqb^7QH6euR(}csbyp?+JCC*f5W)S7 z>=SQ#1T0(d4+nTn5kXN&1^>>7<^2u#gr@Qb`T$t=Q`5yd9{;}`!Q-h9H*vmWlK&+-*ZkJp# z2go0)!IsY!u*(9}o;#tpuTMUa1^_;bcq?yR&y!$D<72!79!nbzJgXH4FPb1O^3!93 zb-=*gg2!%27RK)5MwakJIqv3#Zp>HWTsK2`Q&+RolP#xc`V!R~z|Of;mDR})+TBLZ zA2om26mt3)`HO1JEpghX0j?ng2TcgiqN8$?VF7UfhEH{o#*b*#fFro>m~>z=HC|D6ksoK^3I7PQjXhF5mM{nz-Os4JB4|Me%6 z$cH`zaNPj5@S%RzpAc%F|NXVf1UVhM5VV_Ve9-LY-zo4?9QZK-eteuiMhL&$1)Q*? zzt8PvCKuM-{&GM6mNnAv|Il`$|B5ugKO(0sW#q!1;L2GKr3oDu zbK^r(tM+&VoM84~UlBa29Sh2d>!NXW*8T0&IMc)Rv^4v@xOovCc`=k5SBnRgOvC&- zTC+-?js6x%EN4d)&AVyfyH601xaR@)TqN3g`?%S4fU%4D%jdEuciqVJq^|fO-s1I9 zT}{(8?yx75)nQQ`09UF}rV5Cpb)`y^mUG2a9Drk;GXJ>xS#={yT~ymsVD5+~^^rfb zCd7fTAIG)L%a2f}S>}6CPA=*--_-_a5FQo^zvu+l)& zG`GLmx@ejx)qxQ}L|p4z>h2;sB5^-^9584e1Zm=W9`azX<&mF0wvI}VCz4eOSL+*k znw9*mS}k@|J*VAV*?XOo_Cs+1b>TGKr(W$}27B@Wg&L1MA(j0N{Zi4IW}YUnhwq1? zLKqkPz}|!V-eKoS&0mcCv|a%9Q5fvGs;TW&?Gp2PJS!Q-(w+N#LyvrI0O6g&>y;#2 z9f{hOq;}<0#X7-YL$#YK`l97qSj;jR3g8`B+=f=RoiuBnBFc@kGH)FN} zuAdpgsgJVO#|hhl^#cEn&N2}kc>yqkzr00p=fIrvz*%wyj;`y<@ZbhxKTXquvBif1 zxQ)J4A2xez0axj*tEf#XlV0R6wq2VelfOuT~}MQEEd+4yyZTEUIg zqPMrX1?@^-D+N`Yu{nQv|1fNWFA>7bLfqX0gyj3pJ6*@o#`Fu37}Di)cdh`(5HakZ z5w;#(zYB^}g=&DJTWe$B3?AzU@_FhqC3@td?R5baPvim#ZGVIUkKytt1?lT^!2_)~V+_ngD`Sz$6IV1z7T( zJ4Nx~hg}g0seZ}qvj$;)JuNMA;q)>Q%H4?E> zBg=jqpGSHPadMS_H+%O7-R-pGIrM_irtD7(DyB0bZqRfqg6? zhH6(|1{iH*8D^L{e!E{g{#Q-$mb(BfZ|9#q4uKIQZI}ZZ9A1x=PEPS)UVsVw_MJqR z4X$T4C0LyikuwA4tqQ=xfT6Fz<(W$dd%D5A`BXn~5;Zu;QMrmGq9Oub3Ez{gro zvJ4GK+4${g^6k}R{0%;~7^qI~jk^K+DlcE%62}|y*_I@n0VGzJnWSo4+=i{`UD(_F z+h+sUz=Z-2*84EjNW7FAQqaH_5M%kdwO~Ci-`*WP4wh-tPJ||ZwbmduQMP4F2Og}a zuxIC;_D7{Equv|nki3%m#kxI!?O?wB2hSGp_o{w<<1p9H^`M^2>BDob3N{`8)OG&z zO7dWF`LUh8dM95EZ?H2g3!a_k>$^A|B!*q|0b@eFvvKg64V7ef7wS`pJHokln0p7C z<{NM`N8k7vc0Gdd1gOa_(((L&b|IG+(UxFtg9~+{!t?;Z?ZtI(^Hbg4NC?&*u*)|G zajViq-10&D&K$022D{0&gg&UR?shydTz)^g+tr#0K7S%PFmO>o2l7`p{T8*4gM<5? zJm0khN9PPho4_5t74Wc0yYs*t5GWYW>zNpCJOC0Vl{rd<#jqdc_iRgs{bk;dNca1S zgpe$W0cOl*ZC>WG9nq@W=md$YcitYyf#{uUT;UlgeioL+5X27li>SiL?|a+|W+4hu zV5V{Q?Et%0yZ}FXVlW@*4fUbsf>(9hk1@rDsib5$0dO+7c1DS z?Dmb(!OAXG$jqRpW|sn#N2DMJMo-@sp-7lREHZA}Bg69*XRc1MfrsAh#y<$hY7gMV z_|yxaHV2Lx2Fo+NPXK~Bdz!`)6~wBBwHe>sR~y_`IwgU!OVZ;mye_A6{?c9}QK+z4 z4D9uWEaLf$I)Drz9n1&FmSvu|LHFYx8zR_e3hd+BQeevgcS17Lh6hvf2U!S`M4iWD zLt%d<@c%m4^Z;O}BCv1WKpxG{9Lf%hX_Q0&7S6wYu?A=tzHtY4ZtytI*LlX+fP^}) z81Nkx{?+|~EqX(%l#ACEb{*_5I~WGSJQN9@J^SCDw6N#b6+Re;;OFfL4`rS(UjyxS zz~jW6%jD~o>0!RYK#n^dk0@Xn-=2^ASu|J90HA!1Ja6lo7=h_)An+^!2sRCpFkX-QbpU*w zFTS}cS-#dajP+=!7CG-7UL(TSFJ1`dzXW^+J%;(8~ zvCt1dzknsKZP*VT=Tu3=fk$qLfPwqxDgfHj2qs~C$8(a+>lyYOy0kokW&xOs&b>&m z_p-<8&B1YicEySWZ9|IA_p#3kN*%f+in_Nk@4SMqmHMOK~p0vF) zba4Zl;votjz%60UMObwwP5=OrDS_#rJ(Ur%c36U!7qU*wxjY z<Q_`i0tJThE*QuUgNxk!N^jfr0O-7iPA53XMr3@_JO!53m9sB>A@8z7i#EsxRE6MbJ`bgXL3`?cO=k4|{zy0w){rLX*ZO%S3+SgIp z{`Sv5{`0R-fBg1;Nabr8vmaA=WIu2M!#)g#{n*O6_(A*-KH2nt{`Tv;|Mlm8|NE~i z{?=r3lmZS8F8AO5@?p2k{WAY~-un!E{##m3;FkNJzu)_Q<-f!K{jcAz|2B2Ym}Gx> zoZtSpA7+3zSF<_0Vn?WgZamQ{Ogzg`nO*@{Z7RCev( zUwc~O9{k21@IU?lSH=JFU;Q+R<~bYxu>X0^rumOQ_CNQ3{`t^<{E>8ZH~z~%#PyQ> z!ykXtQJmHP@(+J`(|`C^SNh)MKmWYWKQ(3hhkt}u`}wcv^M`-@uYdgUKmO@oZWkpL zydQY2Y2NGXU;g1wfBM%q`+T3~5C7%2Ut|5m|I2Ux>MQ&2U-|3YJc)nvt+|}*41DQ7 z8q0tF_onvWT&2!lS)2ah|8BzUUrXTs(ToxQ6EpT}ZT z`cG66V}IiCg#1&A;}{iVSd4S@uV47L=IYxDoig1dkB4bNzjUD4Bm0Sv136 ztGg)ur~kEq<0wAn$ejBV8DZI6+oM%sETg#2{^{RazgC&P zvai?CqG{^j-dJkz3r7U!|DXTv&8F=4SLm}gs-aJ<;Vu5|q5cS-yYAt0&)tuH%vQLf zz{(o)a)z(-Prr}fuZ1vz2`JmYT?&8yj!_O@Z2Y^&`VoQQ|GE7BI%0DPOa=Ja-woTp z`^s6;HDD>G-)l{O^Nw;I9q?BLFr5Dkh9X@O_|Mm`kHKA|AK(eWr8n?Q@J8UT)ASv_ z5q>-SkM3@DUH-l7kN+L6B=9ctFZ0v&aNhp%(T{HYc`1025&qU+?)qzs{@cy_H}^3{ zIBLHxZuE26l;211{`xtb7dUp)(ta=duO7V3vUGwgv(CWgufg($pC(;bf1fBDmU8^L zk^g3M{--bK`Mb>oKK`xB#uhA>K1+Um@>k5%M$LEsn)_UUXCi<6q3rjc-~Y#7TNB*- zwM4J)*ZS|*e*NJ0-~IU^`P=X2;V-}OXRsu?zuYnbYqlu?=O6zJm+$YN|MfcM-(LO4 zZ(yxL-vE9>!Vi8~g&YjXp8?9u+Fw8X?VtMncOz1QH~(djzDV@*r~knN|Ndc|bS=2o z{Abv?egv!h-+ZOtU*D1bbDe#D{l|TXj z*G>Zf8~^|S000000RSKX008&z0047ga&%~6YjbFIYiwa(X=!wDVRUX`E@^OiZembN X1qJ{B000620sx5s0071?0{{R3;Q)CH diff --git a/NON IITK/Assignments/Assignment 2/sarthakshukla_iitp/ENB2012_data.xlsx b/NON IITK/Assignments/Assignment 2/sarthakshukla_iitp/ENB2012_data.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..96632aae115491022718a922f7c9580ed13c025c GIT binary patch literal 76189 zcmeFXbyS;Q*EWbt34s=Or~t(&6bTM3THK*Xa0@QMB}iMeXp2*dySo>6m*DR1I_d9u zX4W^)`_5Xk=Fe~5tdl!(pL3u4T>IL4U;89Va;Rv8NEk?1NJvO@NI7vgKLe4GkO(o5 zkO+_#kaZ>OY@JPQoek97?MkI0kvM+b`Ja|&0UcX z%^H71v-0y_@Hz8WOON1joQSf#fS&>gADd&8l=8-;xhXwlVms}U%o)}o+8-#eERy9r zX%9oOY&I*)`qdhT^*yd$imPZ8v};Ru0+qs~rZszQwvb=xLpX`}zxzhLsGyV$Dmyd0 z>2D8Gc`g#1b*Bgj?HqB+m4^Pj!kT(r*z)9G41)r$@t@W?NiAw*`U*A zj-M}ynRqpxXm{#5+fCB-s@cduk~E^01IW27Ml=Af;J5f?oP>_Cjb%HA+#d*tw$5KoeZv3>!Nn%jq_vX#vaOCZ+9U^QqO$9ooX(PWwQK3n}C<3^i+SE z*wmZCb;@2R{FRR`1}@0<>1)Jc!>OISVKK_~+Y_1c#%tGyhy|VmV_q(j<$Hh1OZ%$& zjPK>b<5Fn|GCe(^A}RgfJhDoiE}KxoIey}tJr8OeEA$vOH%f?<`S9`)ueR%KR!4xI6tuSr-CMmtqK zmQs;xC>kK);9KL{q2P4?A^YO>uWxVAgJ+L^{~j|edFwz8NuFRkPc$YY-*IuD!tE23 zuX%Sr>1UMvHX<&-zL1Aj0Twy*WZh72E9d2~VICP@qSa$ZGGv0!|7~}KmidRy>+W9q zuYYJuI@WoEdlL-HDLPE#INkF->^aI>=h=N1df_Fbv|3U_~S%TH+z7fnd=8%AGKkQH6F6LT}y^n#AUQ zEpU2Z_@CVGB*uVtC+#CGiD@>7!}0USV38G=uV2ghLJvNH`~bCwo!#&be-4FWb-fQD~?D8xqdDUu=Hh>anz2U$B+(_pPyE`ekY++ibQEC z&1ZTg^pB02B+H-9P|| z$at)tYsnk3IqO+Y_9^p1er+kv1f@DVrG@ANaVv2Ck4p^FgW?16V7BT zD$grg&AP}PzaZ$)*@o%?NA{?COFU8X{M7o_8Xo4+@Yx6W*4`skOC-KQ3DE0Xc4_si zuR$r_O0#dM+7)QEXz2Fsq>s=7E}oBB|EYeaTC4&n*C*#^AurG6AAOYTB|+HWzvi@( z1>w_pgu>LL_^UGiv68ceDa4fhpCjjAFW=Wzw4?Y)*z)RxO48HLn8B4?$|ZlM47<`Y zbB1--p^^GXfvce+k&NL2x5{2zT%2$M=LIh?S7}1_bHFvmP6!sE*!No^C|5E;T+K4JOU@YaU7h4xZD!jZD(NFzS?eeR&hrB{tqLd!(;*5~apRZPaBv zc257nLvw1;XYZZ9I^9>SfQz!vo$~BzOxk){QNjRY_wNj^gX^A?Jl8m83JA(*y%Xg% z!U>J*I~5PK+|MAD61_ZLS;_2xbsUXW;NkgtTt2VoBv(#@T9YLKQT5BBJzC9w<@}6t zh9C>f7g+@+_wW!{;8kQ}Qigc7C>}E5ak3D7;%@qOCXr9ust4W}0MAp7P1vGo+ zm3?+P!61A`el(O`CDE`D>j5NlsMdaFfP5|cCP+~kAJ^U4lK2&MfqNP8ioj=Q2`1ubF;7X1L%0O&-JMVJ=~AcngpR< z&PO|=O*9dQOCt4GDOnpV^M4$aK3}iyDL!4FqMqNyl;{gyH&U{PUK=z&TyN2cFk^~i z$iMM;>|8TQ6ZUyLj#+AUS3)r$fhq-FS$=q3uW&gEj1=WHCe?I&hi|SsipS}qv5aq# z5OtV4f~=ors1a=ad>UGVMi}{SSzt{dqOeIRjEHr`>wOsIGVxYn=f^zcVk>=goU3jJ zrJ>JZp|w`6W;8Z$NJff)!A~Z5G5?hx#fPX+7Cqyg;dVv2qv4Z{~#= zNfgm1ed+M$8%9g8x)!~O-OKxz#jl8djyzZybe|ZyEY=_1>ZKFG=1K zF0f|0<2vbousvRI{gU|`0MB&L`qRwpM)!epZZjXy+_?Z4JzB=39Co>4m8En``;28f z*81F%oYupPrII~EN#KI_*NFj3gqxbkAi)vPwQx=SLhc)z!_ zco4A zlgx{+fE=(n708Arc7&p#AKX!IhHFkR(4z!juxtCZEldC+=I@3xvmf+qZI>FYGU z^e#K3qhXM@L+jRohP^nhp9rThL!N(eBRf+n!ueA^Ua@JmhtMe|{TVOO)FIb10Tm1UE$8OU`dEi7$B5WV0YeeS@qv7-HK30b zpQ`O+y6XU&MYPo08cYq!hx_?IVnrC#zk%;XR6iau*z1*YPf#DPC}V`(l~$|t-kl|W|FGJ zY18y(>(au_j0r~8JjjMTap1A;%bSLLJ-c{wPdnx3LY$BaD{T#=igt|=>G4ORk9=zy z*3463U7;7B_>NZ#yEuOEe!%{GOZ$L%DZ=DsCZe#7TQ%&KUj6cVD*db2jHsGHX*lK> z`WO(H?obZn`N93xdalxCOrxJ?&*{+Fsku9>=#4;l%do|MBfrxue;qWnOM!KNW-emz z{d?#o^jrG~qd*U7_m3mpPCP{~drZnEWX*fy?BCe**M+Y+DpQ4GFr)6{Gqvk48UEWe zCIERS*M>MFju0HL{*}i5iVY_VQ&VTBe=FC2KKzr>{?V<0k!{})0_5Wr>Z1hIGiE9X zAfd|pvQ~Wy)#!E(1D+6dMfl)ZL225$v0*>F!IN|+m`7m-{LV5_j}o+QOkz=b>^aBU zB38z?J5PwsDi{SGXKPMGRZx)q+8w1ugi{uz{Q7~k!{^UzSp;@ol*FrRszK8YY7;sRBsQ*{d!&sT&s1oQfjDVyNc$hh#`BMaevI= z>zL^$e3@^nKYxeao_2eT(7&dldKG#nQ)URLa zgG11JvJ;yhIG~?e%s8`Wo*zi9<`ra6W}Qa53S>dQ{*ovH#vANhf61od)2tS3up=yJ zq*jX@X1eTR04tlzYtQ?Csqjhs*?wM+R`$xwk%4k^){|g}bu&kI6!D`KQ|4{CuX(!N*y8o| zeRvoTiEQz?aGkS3sF8<@yGRkQ>kD>+rU!$kn`@E7rRJOSn}-sS#;2RLk`lz%TYEV* zPnQ?IPj&{6Yimco59i~1dt1EaK?Wk;7neE1X})*kBnDo$k2%u@i@tMS_Xii6%0Bnk zckD+Z{ZCg{EnX)(HA@CdPaK#Jr)MM$2bb5Kh*S5s8a2l`OHXkSultj3yrmYOyOXwMBGZ{u~}8T`l=O9$!uSlE5|Xp6*Z1wjx`&y|b^hA9uQ!L>^nF z4Ys_0h~yvW!|4-UUe%A9&u-^D3D5-G=j`8;^e=WlUA}TpmU+56vh#sHoID_Axfc<6 zT)VmGFz~Tz@SJXMdAhEEZajIP^@qgo)!6yCKN%P_#i2c|b>OA>M*Gg%xn8-AFF3eO zyWXXV^bdXAyKC`|hTVv4ma*>e3{~Uav^0k=n1O7-IOSz=@}E>3&U`ALNNv}BTAH7W z{Kzv^ygF~J6M$T)3dD=F_}t!Gxa-1+kc%5$KCLvogD8w&Hj0d9UW@-6a=*EJ*t#*V<4xgQTXdb&M!VB_i4 zfp7Cd3JjWvYVNI>&s%((?oLBnFW5{Dwd#Fekb`waCXx|^0LXuXE>|&4P{zQ3+z|N~CWr4PUTVPd+qG?$|mdxbEZ!XOg>) zn=LT|pnYWh&}!eu-GeCeShC?<%~a(q!A!a{wZYPJSfXN64(X35Aqm82`Uv;@6`o<# zt=UKSp#SI!&F=I4=8rwgg+_m3wE825-1aP%hkUO>*(QOuN%)-lz&m}m#lw2*(*Y{e zQDrfi1&7)gt?I;bPocaGFO%;RD5Xr1X>9y~428>@h(U;P3TMJztwWYQ%G$u>;1gUV zWKQq))T>YE!^L4Od(r#dyB*=ZB}wnOgYrkc2`xAf>fz?C0nK7jy*D^+<|P@Up@>i+_R?ZSPxM)vHjySl^{zss^x z+B>`tso|?Sc96>v-Gszx;q?3(jWMj&R%w`j28M(gITcDvq}UoL{4JlPlTsEgIaS{fA79)ar~btvwj*CtE;$$z8>Fb9dm2`bG2 z^1Get4ZKmv_F~!6gUc75bH5uJNw~HvsX|~pnks!DgX;sEEJ_z~{=PuRSnLf(l0GJ& z&Y_o}oC|HXIRR^>QZ+7n>@a!-i1MtGKPSbrOp!Jj?kol>8yqnna#*BG&iuqD_0vAW z5fm#0uMlJIdKgM}X?Qi1&6a$1W821an0%EaK_0bHHa)M6y~X2#HdF&T|E>CM>2V6A zxsc=xVMvbw_$jC$dGz|{HGW)c-l7z>$a7I|l3TL7ggf2S*zQ}Utqa{%)+u`48Ugd3 zE(P&GpOSRNCF6yQ&jxy_MduS3g!7LoKSik44SO?qE{$0OUA;eGX5i^ccb{8~YIIpX zrGBd7BJme8w#X=W>6d8mu{I?$y0W8w8X5qRxcD$h;CT_aA62)J}cNKTUl03fEYoMW@Y&yQe?iQH13aOM@`lVplaXCIk!|E|H@!nPGoGHTA z`qSjErC#GCHA~Gq3+CGgOQ*R`YumYTl8P9vba^E}qk@L@jECeZm;BQdL(VMn ziLB}yeBQ-nc8!G1O`>0LrX*`R@mb#(z2(;*5YwvJVT!#d>S`Xh9H8(V^xs{akxMIs zj>`aPQ`eEsqfu4eRlB_vc_W*R8}pK^|0X>0CG+gLW6dJwQ zw|2d|P4|u5TkrvDVH^&=6^TH8fF_?-gt{5>ed@NkCI;-&k&wz#8xqU2-e8NXR*588 zh`E;h7@WLH7#f*@xNUWxCE#KTR7kUbbND!hsp$E6p_NY>N0pIQ| zCpXwTo|?3HP^PK2US)@TDFctWN#5xB?K1LhQW8W;sy^!`p*pjk*LTXTRcss?n22W| z8~6iMifhtVrE}F zZbt48Q6)yjfx$P`p7HFW*~DUNMUl-|&>E^!S8b9ej|d&na_5m~l9b-G#gkDM6524p zh~U||NSB)nH41uisE0{az>Ip{<++!l3_Z%`18rjINx~K_`M^2$K;rFuox3=;?-396 zsxX%&nf$t|=YGvJVF_m~>~7MhzvwT!F-JDu56z1%`Geh9mPmarYp+gy4xaZd z4Er17TB~pc=0DdGFU+Rib`s5Ib2@+v#;1NjCf>p=(rwyWXCzU<1*hpmN5=NQu54Dn z6hUTY4nIC_xk&)fm86ALvXo<>ipzSjmDiK>i*%=CieLCUWSn=X z6u4-GeHc6`#fr5@bp)ao$kzFqHtxdaaM#jP*pE~VGvqDNw@4?lZHti(Oll zl%GOW=FkrqOqADq#7BMOs>>6Lbwpin?#R2opKbNykA&i%1f>L$O?eYFm zO*>Itgv4TqOi3y0514oeL}_=Kc1C`yi8K;9^mNuuQ3A(xq4dJYl7!T|%EGSm0JAt0 zwXSBA-u_C%%g@r%X@A9o8F2gdiE*8(=i*K?>g~++Nnio4i3eGKO?&CZhr`)FVid0G z{o1L`v7TTjs93+e-qD0~wfw8FLWQ?-uh>j76?!CpMuoq7LxCGu*axHc`qCD}5=ehx zl<{cvTX0$y)91Yug8&M=iwJ`!LQz+xT$#Zz^HZzj&wy|Y6pamKOazn*XUO6)9u6*V zXC1k0B7i)N8h&r!**`@u%?PG;%jgcZ@^Vem8)lnwNwOm~O!4gUQ#W8Xv{!0fPWNjQLn;uqTFeI`NmwA;?4n%b z)3Aix%OYNHi+(*Mo79B>~b}Q$L&d+sV$fyvG<@6h5 z%t1UpX`fFmNd|MDBH7c%#MXhRWpBi?skc}YF5RmjONte2EhgAYr0v-Dm=&2O9}HkS z>rZEEcJDIT6fezu)86*Kq)s2FIoi9zPOQ64$6mdOyjsKXSV}&7v{-?~11Xj^ch<>Z z z!dfPv$BiD~O&m@edU3wB{p9FM@Ri$hTZ(LydEJ^-H;~s&5wyr+@<1b51rxIk2-*V1 zqb#cVu-jr93P|@zIMdnXFG^LWes6AQn7fSBxb7a@mYZ$hfuNtt4f{Q3ZKTR3Y3Cof zd#|g54A^%dAe~|UYRKpemj0Bm!+`b1p02i4eX{?yarSa6b1G^QY}&L08S=&~Erief zS>ENVItMgLip+ofiMV6LS{dgp812<5->;L(E{ogy7g&WP`TBZR!LCvrB3ed1)|JEZ+r!`e4eqwwO0}a(2w<#wIAdFbmQge(fxLnkRekDGAr!Ve__h>5DDz3U+EO`L zbX(svX74z)>DGaigaUkwZuW%7*+BAle_ov8>-8jA;okUEu;OY{O+{UWto*WZgKT53 zCj=LEL?yWR;GTdZbU}_c?jk+wjwChuzI14#=!IQ6AFnj{66Og4UlikiuFc;iVofM> zbSeZMb)I4geD^J*%4KGmuL6gBpQ5w)1lo0Z6Y5@(iX{$`Bp6d>`;A!SCaJ8nggsr6 z6@#}zL;+R8RYb%6^-d>%=$sQ5rayMpBJj5Nvq$zdk_S4j5S9S01 z8m71O+m6OiEizt;OB>UN+%1-^WF_(|vv1P2Fp5;Sg;d5Pf@le(Uxh9kekO8B;Nx7n z_Zo!dL;*ji`wTALP5-%8jqL=lRu~Ve%j1ddffcFEXu^HiAH3(fLiu+iZ8zT1NflQ_ zi#QhbK;l&>3HkXL9qsYg(@ECzf%UgupZn)H(CQ$be)AI>$kK;zG~vy!5`qYxIWAy` zEpF0kY=CIOzrzEo0x16u#c~|Maa5OjpfbXC9LMaDKTuC?W^C+BFe&16Tkj6|Oois2 zl!kJegsZ>B+QMEkX?ONxaerhN6H^|YPnt=TJ&(g>WSuVlH_9)9u26hizja>ivo#TI z=-VaX#E!I>9)hFFa1y6d`laB!sL+jS$q*Lyr(>M4oAMJ{8lI!LIN#>S7KtVw#W2tc zE}Xqlo$5XG%bP}dn%L$%om)@sM9{*R9%QNL98XnS?WB|P_c=TT7uPd- z1B!@2*Qs^u4&)RQWant~5jo;dRNRO=*7n<;NM@H(twPHB-4Q7c`Jocx9OsJ7x4-5@ z(h#bNX?dK(U9))4`b0T`IaeNtwQU1N=O{Heh4~AiqDm+PeT6OJWxOXKP38jUhgTi^ zgxWrA9upX`p9vpn9MhgoY*s?q=5-XoK&^g%ppPqC)CQp;DmSJB4makgl4JVnasU#I zf+JGf8_fJm%0dIY{R%<4kd;009G;qo49e~FEya;tcYGHQ>JO-cV%#H?A0&GHzrk=i zylR^QUTpk3>UjcXrQS((Q>Ts@@6^;W8`0eBpStRfA=}mo|K>VdF_Bp9<3}iKeEX3w zzs%o%)O_Mvg1$Ty^B{POfZYS^sl%vk{l!8mG@B z9PWjeKCMn6S}cc^{>i5sHTbqYsyDMa@-B5o(AZvuJzJ-#KPlr*O;6KFtEu0h^ck;s zPqn;tSdoH*akVmoP3EVWfPsGr$lSDULzNo*&olXRvlxyZZsYnUdo}0nJonP%v(>#} zWs_ea13bHdkXUTpC^EPOt&KYM#SZDG8F71Xft9)Lo(5Hh?Og||34AlZ^>XUK!;?!n zy1H_0jM=8J!Zn$uucZR&yRA?BMi$foOcSj|=;|(f`Bn*MWV?KxwJDC%b(1^0!CIn= zbds9qEcON-Wf5j_@;O3KzKC}G(8SPGbKWqNxqRG@$h zK=_f15YrwH31=gSJ^Vy6Wi=e*8wmhl$Bo~}6sh9~poh}cE~{6q9UO-hlP4e237hyA zJER56l`P&Yb)2q*2TF^q_jezO2{Zn0N)q< zp>UQ;wUTBy{Lxj~=Z#leamDyp?0BkB5A$%5rS5pve4AKXChR*VrkEYbZlE?YQ0PO> zt48Sg*pH5*Y(R6Dr*Zrob(`Ipx?hWEgv8H#GggLP!4c+O%mSj#Fwv? za9**^zcAV%anI)wZXyZcL~5(yr1vwh(&p0&1!PQ0K@(qzz7cJ7Enf}Y_?i10* z9Bl|GP?C>qmtzi{96gDc+G?;Hf3_AXp`!iVIN}U$(Z_4+cN&h-hmalyaZ(U|41#9- z&)4~LHRj@p99pH$8Ljw7;xVQxXdDF}mC1pJ(Ig zaD5=S#Mhfis;}JivaFwb?qMAt()+-Wi1Y+_W!SRt<7vS79$BNjQ0@?S^=)Hc1+rSH7JcF})nx}x{o0Dmp{S{`q>=E$) zt17_rc(+dh{x|j>%1>6hM;0C9W*^|eWWgFC$((b!1eMD47MY($B~ir?^&M53F^3oe ziK2X}gN#yjDRYWPmDlBv7$rl`0-7`zN1a=Tx8{=%WgoR;{;bL~OwgqoVPdY>f{r?` zZ_orkkQ`_0u*dTzMz2}Huk=|Se&t}a)yOdTCxmWqJB(^$zIrgU9Q7_ZL%(i2j|-w4 zX(N6nifL-M_On_4;|xNnPU6eYBn=t(oi>e=Sev}{J8ci)Z`|HsP;3Hy_fB#}xy#br zBjgUYQH`b+)(u|)0H2Xj629ZZGMSVT(p9(nmM5GB!Tc)(mmY@rmbQOpa#1f>RXPOI zO>vrs&0u5^{aH@`(kAvC2BX#Ro@h{~dKtVNFe6<5>JX3PT>rK(A_BTZrPT$=)+U7$ z!Oo+~iMu+whaFhMDh4&`Vo-q5gp(WW_Eo%l9t(pLsi$JE4~MgL zomJSWA>rOFv)LG)7uR<;<2ff4+fEcg;u`Urzg|Ua%4>@oMw}(tR|g=G?xNC1?c5?S zOEX+%e$AW;7f3r6D#0+gcXHzbX$#R7;u^jwNlK_;-n!b{sOn4AXSv}4aMprehyRC^ zjnHugyh-?orQqVuU%<3CJ+!_4DAMy+(J)~u z#}5a6oCG7y+0X|cg49iZ^D3>f{=I2%)99bN!B4RjKvm-*<*npQm{SCBh#$mcu8tY* zIoD;_Mb>UDRIr~sywNSA`GjW2bW9>cu*D;!JOt7R=a)+PS9iXx?c8K_DxM?K0X_-n zMq#;Ayhrh%E^CStREXWd7FA=}tHFKm!)D|sD-q>|`j?7GT2PGEc2%VKMAR6mL5g46 zFKC8vSr*WK>ZB!P@#;v63)5eocWEARw7jL7Q2wSPKeKv%do zn7nao>#o3UoEX4DV`zwtEHU_{H`5kxl;sV+f$Fbvx4VXRU6o(Nc2}y+w9=9jVm@!* zj$>z=Sl(8Ymal%5WZTm%CBljh(ziV@-gg&hiwq7}T30^nwg_0ly)A59=A9kJa?fh| zBx{Ck{-Iv9kuT&Hwj!f~V*a7K`8yhr@EEONc(%Y4OzNt2(#&AmZjCWriClxR)Z`faF4soYAwca^*C-c!TjlbO@1mUV;)$ji?9FuluMk|RkBC+?Mfv7jCUT`Xd1>-AEf##bNZ(( zdJ}mg-Scxp!|k@#5m?4AO?N1(pGEK@;MF;kz%625dJ){95TgTV0yKA5xu~yGmdZz~ zriVLo@gM;>?zP@uN4^iUKmYx4_EWCYduwGw!y9DOemv3_DczRu+@0P1EaGXtlq6ur z9h{aXhyV?aeoh!Agme@aF2BtQ*4f_37UqQTt(CXkj?TV#O1-?n}hX+EC-BZv#ZFmyM{@Q$GQ!RV1FxsjI{u{kDRj2K`h-3V?NGh(+MMeZAyItWpz zE`b~4;-=L~HG8i|FfQ*smRq9esa_`F$kpFKe{4oZdm1#9MxlR;4q}iM>8ft$LXY=Z zcVeSXz$5#tZ_nGi(TPiL;FOhim_Wj>jS=3fKm|`0Nr`4)^cMeAX9Y8=EoQlD7D%B@ zAdc%(9FdaH+ef*mpZhr0tJpW9Y>?-e;^xaQvI=~+nSXX18UnwelVgv)id`_u2`p^F z*D#m<0biEl-1|@)z)w!Pnaeeht~xN<#!(<#5A2b5YY;nsl?%aYx3(;xW<2;1r4X2rP>_I$`jW0bY9z(y?7NxhTq(W7KYYb>9C@~D9XzDwH%JA z{If&mL4jbd3G0=yM)kvu)F8{+ET>UH*E!!ld&=>B}vGC0PGDVM*=gO5JI>v^Tmz<9KP)~RG5mEAx=e}d8UZ0 zr3D<|*j>dRjz&-wn<<1XwK*}`Lo?Lvq=R1YNY342O{GWTXcZ*IdZC}HCG))UcV0&E zFsHvl^9V)?EF!IyuRwSo!81FXsHFq;<&=a^_qO@uL9g(FP z-4lY$qy68AcJsA}nAa>_)3Kmehl{OsLE}-s9G#oBl89i~&ATP#&HKQmplk8y78r^p zKuEIe+o<5U7O?)@&HfSlR05F&J=Y9{iA~%W6L9~B*Ek}0&iIvhM%sS-+{#|EG;QUE zG#t>F0pP?inmcYDH)X~3Pui9~8t>=M76j_j5?e)?@hxRiPS} zpIs@(q7~_d8yu%a{KCP$c-MSM&W9-e*L0Dw05|ovgjd z7or4pY1ouvC>yV40J#(^H^?}{cv@OM6SO6fl}XLQjRWVuuS5m+gzyarOipz2PY*VE z7BmbVUaeRDv=i89bFcYbV4qZ}5-tv8b4%kqy9gW0pa}R7BCzdeO=ujRLiLp;rC+^@nJ*FJ>}+*RdaD0{Voo zH`sA&J1c0d%g>t-Q#BLGcYh}bowZ5OzAXT_cOrx zE6zNIcX=?eyNi7cpHG5tu1Q;sVW=r<%y+$Hy~{O5w|v`?>uB_thtIX_A{q6!z_~hF zkqa_&|FE8dgdl+ws*O962EMfw8RFK~3MArG^il*eS!QAzqo&AiG08Y)%O@lvpN8Ar zE9Bi{S+=R6#3liIae-7a)hYsGbDi$M>)iucV&__J)L|4YC~<3h1wx{u$4N~Gc~O2{ zIWq|c6FZ-+CLXn#Kr(%HstPI~Z55>pHg|ezec}`+k3BA8Q%J}5XQcn;67O;F z4Fsb5eDtE6GDzyp#aI#VK3t@H(zb{(=xIOA6+eWT&w1|441p{K(7GKO3yjk@{3-;4Z^)f3l#}+2X#6oaHQ5J%^ zpXub(ydPOc^lcS|`TJu?fIj6}#7QXze9{MIXmJ0z(n)5P5iOV(3yC8%5B1Xs^^fl) zz6&>4o!=~Nbw4DwzPfM&)v`V$5rX(geK|ND4Gr(xlx_+HZ5HqcpHZzc`^Gi7$YtcP z7Y4QHG`ghmWY+B#<68Rr9?e_c7VK3GWb{7(^b%26@5QmxI<#OJ~K6!Pk8{ zrX?=!`#)LQby)THt{jTG)b=4Gze-(DbZv35ZS3u53|C6q+6`eD?T9gLbct>Hp$T2T z$~)q(3Or{$jFm$>gu^vSgtE0=^7gg0b~O%V#tybR0)fvcSP6M_uxz*qXXqpA`6LNu zNYnZ*S21@=O&33T+Pj2y#Anst3cb|0EDM*u&kg^v4at2*}nRH z^ezJkl%xWLfk;VRIMjBT@RImHRGbE1>nt(}xKsy*b4SH%p|YBb4%_4(^1MbLs`0E- zQ155uU%>-*(E!3kND*dLdt}19Zafw}O6~fegp+Nd^+<6x_;@3yKl(G?R?1@@XNe>Pu(ZCN^`e;TTA&8_NzK z`B4@7@FUn|JC?bwK)EFi%W;ruakBC)Q!;i+Q-r4Vep}ltET{q##~d%dPv3Ot&=Mrh zU2sL*LeTBFwURUNl;QaAK%*x93*4@x957x)kZhWnr#D@B;3hGD8Fx8|YMjNVn4{Jr5mqEBdjTuA3 z(os$xnww%TXY-3oHIXN)~KG zLm5$2`M;5Wf@636hNCb1HyI0J6N1++rO_qfv8aMUjCHCvt0B;!F8g(*1M};Q8j_R_ zkItNh*l(DadV9#M&P5?68LcZYQv3G+IRBrD{E+KspEvX`a-2`%i8F~yZsTf<6d=EU zwYp5{paOwFN)}2!9Y*_7j%6#-OXn}x>>h@Vli0BXsDy{T5o?7x%{6`wNMSMk}qi`lsgFrU~~Xe@g-6v6Gc zO6sEo{a{XOqFU9arfq(eT%hyJU}JI4Q`vK&Ak*#g&Q`|VLP86n z$o4Jk3z)@{Tg5b1MNx08KxB;8*Z5sJxE;m7ld$)HG^dz62RjJ#LW<(`&q92AwbXTisZY|YknN? z>-^GDF~dy%Rs{?U3RbjgGRXzXHEf$O_Be>6UsI)(F(hKhV5ytKdR+ggd8y3t`t|F81MdBp4jR zrHLF%olmvDT%;=GhhS4V%K$4!>~coMX;9OHPJ(;OecgFFpt1seR@AH3g9Y=}kHx;K zD~*$@AK4|8yMq?)o5K|eYlqbPg>K92z>oOI|F)bK-@h#9;yka6;e{Y2=A1tRp{ASj zVx~ac9gm>$JV?E01p~7impFogg_2i`)b>5V6ZD5`9^YV3cO&ACO*^ng2Xtir?Dws0 zhbod!L*8EHWRiz$^@I=~^kr*10WxtaR%z*nT=2{cUFsW@RRYsI&p1zGk!(5GYjM`a znT@1|=D64|JZeE7&WDP}HA?P%)^@@%C{5}jJUOC{@<&_2YdojJanua(V0G_(HqsEHt>U;jfux9jY`_xY>Tpm7B8xD>c!{xuZrT{!MOqYsqw?!ng zXcXNIpg?2iM(N}j7%ySD)-F@k&$}UQuW<6t9m2kBD1(HGNE6T(t?kk2!C>|fXgu1N z5*ejgPyRcK5-uHgDj8o!k=|R4hvpZ|kAjJ^=3<9q4^1Wa0_A^=c!F6u(n&KS?w=Wi z#M_aZW-N#tae`jktAEjO4Xjsh(r(<{V1ESo*WA2SdvH7vgzwj&P*PIz{k59?vLU#2 zl4Ezrhw<^6alu+p@vjU@Ks}C)DbNKSALr<+2Gt;cLz(WiDr#?Q^M?ifbvqz2#%J8j zW}oV7PWvy4+~~D^R8XHp*4D`}e>`6?Z`)T|NQ<`~cb;Z9Zu`8`X+L=@>mLCiXn+mv z#1@aBnBfXG3XWV9x#ZsPazr^X+R1yd%bV)Qu>0rJCg0KWI;YdV-(7)mtX^qKE7^&G zLRsDTU9>~E__oV|7IedHBdrN8qKY(aTdsF}KLu^BOB2GX$**@_=fL_-1xjwDCQgf# zTfpbRCGpKe19iN06TWkwKU(g!R!LG&Ci7^KLO1{xu$(cCpKg0OJAlzJo;pW zjJecLhq8H&Wg!rG*_CcWEw)ZA_f2?RVfM7+n>q5V|eKAxAm#8T|m$L9hvjOPp0 zxb7JvcJJMAu?&7qvCMqV(~C4m#9AD~6>TKB!GJ#4rhY`G8S?5G_VUT%{O|@tMl||D z0Poe==KP&+pLkM(IB{d$Q8g%vwJKWmA&SzaDA**IWXvR21RxjuOy|mBWLnkvfZLWd zzQJ~}UvJ7vx(ZIA{o5&x9bol)Tu|2~o401{UH|f75ZEm_ckJ3X}s_yByEzT%_ z`wzpnF-!%P}w}*yaH#kAPH*{4p?5aWOE+0f;M%frSsNna;iu zj^Gc9mUQA+#8I7>J!15-QaRWDlu3tA5Q;9@E`!Wi-L`&b`N7^G0a%a``_@Pj@_v0C zi@2jK$oK}#dZtGUIfFbYpHy}b{~%`N-F!g#{$j+eD9UfK0rKU{yvfu*c!8MG#y{9( zB|&!P84Nf0neGPoDcAyoVwKq@u4!)LI}wnvU59G1887L$$;D`)>rJ1|R_+ETI~W)E ze-^78YEw*jx(LBFg>Rr;uwS^*TvDnLQW2l!8tk&L`L=HkqbjZ*1JnGU@;2-}DU)?v zh#uuHvb`$k&MK3DwfpB}+n}t{$<S$eDo@Lf9*=f_c@6sC3h!@ zZ~EeVH@{bRaP`M&HB~#umQz~)=a(^Wrk-VDem)RRdz5dq@kxD%K)6prEx=}OJ_=Im zdiEtlE|o6*j%>@w{+p7$?OLs^qqbJL#<7nAb)vrG_a#1T^KWfVa(6jec&EHNC8l>= zQYoKSEGZ&A9~~rDopj)OMATp-`*b#FJEfiX^AQpj_k-n6$d1L!KhoP^aHOhD43?LT z`ckW{!B`Q2?a0(|ArR)ssQ#)XQ^l9&INH8+9;!_JtE-S8_ z)udAF9ViFdyIOv0%WpXI>=}`IcW`=!?0S4o5&+sJcL;MTL($;tT$!~~`Yt!f_TD^p zRJ#5(A}{%Kc$QJkUdLmv;3wj*o6Y((q#h0!d{VEc{cbqi6I^!7jUA+F@{a4miY3h` z<_US6z@En?iLayBLP*i8uo~9GQIrkgi>LS}OPYCpBC|Buy7*ZgL#PK^39o%h-LN5n zP)tT*1x&kH1;ReCK8pv1*u3MCV~Q!dQ(2mN>~Jk@Q*Xg;`CYU028Hp>8?=v^Jv4)BS4}QAI?b8pt|h0K zOwqoUJ+sahxb{JbTodAe=LXYUgPB{XV+lnL&N-QGF({0TCZr|)d4=~XFdb`pn|WvZ zL2;eXB=@O{08psebHOyP#Mj52U%AU)m(wSd@!g#2+FEZDv+XAUMm>YT287%Go0+>2 zlr8|qa@9c$Dh>S4NOSdTjeLh9pBUG^l5dj&y(buLE-^_;{*hqY^oGVJ+}lQ6PN*qP zNrr@Wo9W{huy^8{wM&SP?`j7IQu%Abt;?DQ-l_8cBiv=!zrww?O5cMkY}GU~s3f8L z*<}3O=#NEOD)+SGC&~ur1CNw1$Lx;_{9Lw_aY2_Mg4fQOTZCepiz<|4G@&gcUkoY_ z_P4U%Uj`s*e8FOC2Xh&io)~h`)qYsr`tT^J#HiVcJfg}->1xzwo-37`LDW-~W0Ns5 ztAfWO4y%A`|59*YhaJs_j@;H4Pih!dwrc3HxUHy7loHC z^EK2>c6&@1jY&QH4>_^g{zFbz{*n_@VM&GCT|2ww0n@FO? zsr1ya4=4@+k&^@D^QTlX1nQbFBVW0gMD(7$D3YT^)`|v;=3w+!I~H+|5F2gw*#QNO&u`bbg`X0ynJIV8FbUg>t<4#* z{EU-J0XsgYw84-U&JD48yP&ts&8Hh18VNxG2F*p4z=ovThP}lZR1(sTKRQ1<|V22$H<#)bEI|eDp{LB@Y_*# zA!i3v=sm4`Ygccz-WgScv{bUn`8|oTRZ3M-4@r&OW?e=02>7fE!y|>M_6pi>5x=UE ze6GuweM*q6@n4_)EV5E{-zSoIR`@8SGL>QddJBp)$Le-=9NBAHHA(g;^mYEI%gH~| z?c`!h*tN{(thmw|Z+!pyt%6o$A$n?UibLgi-?MRv<@T7OjmpVDQOwgUpJpbecRotd zQPNhDY}(EleSX&t)KF4^Dpo1Cx(4XUJofqu`ZNI3r0*Y7Nng;T-;cZO;e>=tllnJ91^JS zaIim1ngYjCSiv2)z1Nd}+>6xp5oElWYOl_Gj!d*lz=yu~2@P+0MGIE(o9GSoy>bp! zww@XEXj1UDN7viYk<*hg_}s+ltm7-gz;o&bMI0GhZ>Gwhch8wuv2#t4fe*yhK2|6+ z)zU-*H(areP!V-*J_OzdSFBcNEy5zvn>!h$?hmuQ|D2PEsBzKfUL6Pv4_3%PU{we_ z0*XSw)cE0I6^-mFqNwU^_{7j!qe+!+>&m{16`W?HpL1F2Duv!hub|b3hC;*fmxDYN z2$cODU{ch}H#k43XZTrLQ7>0^RR-0$!;<~3HT$$ZH-`QgSvFq$Z=0@CcKi{>>r?1+4INw_MHrz|~)$q4lmVKvHQ_PwX9JdEb z-aMtA?sq*MJRFh&gDA;BP-+kb3y5AHWVd1IB^N|#E@2AF9kr4$S>`GJDp=U{Xra%4 z(1;30!FQ*HPieSu265e46L_=)Z+ae_yK~e9IW%hLG$#@EV4JONWa#|^vvrsH33ygY zKroX}=Q-s8JI+10M>(_JF70MCSVk9*mu5pvj3O<%$rL=wlg3$SGZITJ{D8NUqrGxt zDUNW>IMtKYECZjlK}qA)+>}y<#uOU(hC>wEhCsY-+~tS}?&};y*8y)g9DEF8gr0F* zB(=Q$IsEPZOYx!UwY0g9w_QXda#njHSEaH7&);^TK*NGTa56BI37<4>NSkpXaMC+; z!EWDB=t|v$wQK04wU57%DXI3%eMa4DHMSmN2B$ki0m0|7QM9yP^ifNFyyg+lF63tb z8_1QV3qdotYG+Vd;JG}FwZ}@6yqMD?)U`iTi{QvQ=TSDSC9O&T#;{Pp8RikdEtdVg z#SGvU%aSJhgcp(}U{`pGJCu&ra;vZVEc15^pbKT^o2xMQudp(;^zkAiRKTv+D4%C^ zO|&{Av=QNRFEYAnB#*^R@B6&(7~fm*c-T?uw;j@9oE^CE(+Vw5-ig(IXy|C$=;yOM z-LhA4p6&fc2A2~(2co8zIjJr$%<$JK6Zwr%i?{wE5whuwY>&Q4# zrX~eV&i7N7RB2zG^nY=;e}!X@$z<}*$0J?17Xe=lY>P?c%m$gdM@7=OBwfbn%Cqg6 z+*i+(nZ>HB3s)mIQ{k=^>YbDQFLNIE|GN4mr*%?3*t4Kwk;WYlW<-#vNs>jmP$TnL z1}Dh8S-Q|`ZB%4pnn)=^*t=uS{(|MD_1%i>w|ZlA8S_SYu>^|l>9V&!|Jwxz4U<~Qh2t#B+ZP)L8|gbv*xTOQwnKjxQutZz0r zdS|$6n&D*m^b+UDc`UF!aZ+rggTJ@-odBsTvbRsP$UhIugwaX(eAjiCls2nS|1R?R z(f&@Oq1%3LLvCq7*|;PdW9KN+yjunAA+DBCdb_vHho$E=kfKV5Y9yrvue+A3XP3s) zjlU{Y4gDZ_vLsn3cDLo|NBjL&0$u?GCg32HU=%f;a*P*H+27lG$F7`LcxEAvQZv9D zPP3LFsI_a_U~f>9`fLI6Zod;l>NtdhkL7czC)Defq;_0@JW-E+6?DybDl7R>np5iC zyg+vZ=lc>0t3|^fg|1hoWBg9iqBOs}^cGI8CN0cRHfH|WnUZ6%>2ifbjLbEd5Gak{ z9-Kj1&>AS5@88YS4+c`Qiz#ILY$e(O?d<-TMKRN-)UIoeH%x5W~DDrPC-%Mar0vM9lPvl zB&JD$7>EbKNYe2_B}=#Rke+k(@5QGsRo`QZ`?L{#VKn~o#fJ-#czf`M5fi*UNTldU^MW;WPoe*C5*0lX3Kfc-+79Z&Gs`K{K$h*;{ zs@ykH3b=>6M~UX$WMFr3%G^?grq=~{@yurLMF$p6rycr?MVEays}ZFzz&+y!U{lp? z<&=WkL;qis)ITO>DFutIqaOE@t*@VacUrHDn0@HF-?M%1ZNY^eb#E{!0R$lflQKfo zSfEU0#fUah3P5W*hSrMjCEW}P_HRvYv8=4AI5#5~6tAlEIls&O6v6p5?aQXyGQ0^(3Jo%JkPV+GbkAEN)s}Zu=PtU=*R*Tq$k%@I zEYN1~;7lyBLRVAQCg*y@f1;5L?DaPq$-Mp(jfig3W5i=E5p{vx_&vv@+^B7%MMuUv zFP5H0{4fe_W%8quA(|^=8bWY51~BZ>8@%|JW^Wa12~$X9lI)k#NQ!%w23v6Nsw;;T zx-NhRzu0q&o3+0U7wt}mFEB|vb^%eD1m>QYapCQp;kUgc8)icba1mARXhlQpDIzl^ zsGaSwxT$PK)%6DZ``aVkGsNk?%=@ufp$YLGFWxZj-E%9i^Vi%l*>7S-(Du-+)%%lq z9j@p7EC80~scx{bMb4@LtF#Jn$AOaaAOA}uP`@uos0rU>|AX2HT49~&o5E*%!Y}H_ zL$2DrZT)uXU1W9h(_d-7&X&@C9quhX{WW+RkL|^XHwnj>qNY#2L@K@^$apK1QuHm z;}P}p0jbIt%3Jz69m>C#RG>6AbBg;ehH&+NoG-s;C8{PT$-TKcJ_KvdU5N9CZwy~_ zUUI?$3Kdw%1`V%PxHVa@C`47$Y`fx=Km(Wa<0zMJgv?{pE=L^j=?~Bfd$mcE z2Nh{@r;@VABlVILN7R>TrMO3QO9boWn#o4O5$i_Rt@! z9=~4{r)seMqRcdMazTclK}?$AsBF*Bc`@_AnwvRqD)HWk^Dz9C?$CXnonO8@cgVV9 zu$GJzk_=HUJjfX>j9y}Hr8W$mbTt457#nNk)+T-%ayr7u_136TYf`JESD-`o3Yn(w z{W>x>Ql}syYq_uu(ZZb=Ii=?#6!WEvM4Ok z4$+Z2^b9I=uDo?lqBS~0b>V}+a+=VVbB|Ge7nL6b#P}Dh(I8|lXmA3$<3c*Q?f@p~4ZVE2a0HJZk$`hkna2u__z71=WZ4-?UA zJ8GAA>LE@uVw(7Hfw~|Cph6V?*lg>@K9^&`FgX35!P_N%9J(FS!k61ZILY!a-PxD< zk{_hl;tnuelJKPTquhJTw$%BP($PdYs19WDp=8L)L$QkD2^HtzYW}gk_YaIWB`OhG z!N^q;?((TDE7e=)CR0_{mDvk!40ZPr0p13?U!zFKP>AZ*gS}OmMBKTtYAcqU zL05ULXRn?Ue_0zgS1h7ue&GYdUK#UkX&nOI2cY!v`=!DsYz^>k+Qh5pHQA=ERuJLTIq{TdUMN#zu0?ljdK zvwm2YC4kyEQ4>eVyl#WiBO%9A9ogplOfOq$83tS5FS?waxDWo=?5NiCO!uz3minmX z%v9%K{QjUmRVXLPFDY}M6%C4qi4XDu7$C6AQ20#>RBTjI^;VirAUz(&&n5QwFuuFN zLp8UhaLR062o)SMdU#c%kW{0Er{MFVZ1`zhatjZ3u#zbJc{d+{~<^Z8X>Yh5$@y$`!$ya|O04SwN}75gZ(*;^vb z2|D$dl_$6Ej{9L%O^0iBF6#AUt)6>zn5Dz^eov#x+lr6*IzHO7RJ<&t^k_<6BCxG_ zbBQ$T=u|x%jGt7@*p_pfo4HKbC)Ut5{t*7WY+m(TIVQyX{m@;3qem>W4%i~kbLvfF zH>?3@I^|k)VJZW&x7`YEhAwN>pR!nue!F%3m#4bG$)z2QokQNL-1ZNw<32z$YYsWX zp$gjrnpy2Y2MhpJSy~4D$hT55b$({cn)kS8w)gh~9F#Y<2a4{I#mDhV=wl-@0)1uF z6WVnZWt{LrWpmz(uCIyS6P+{LRc+dEj?Lrh$$3?U#yRCiq2c`W&S5r|=L~y1juL5OqH(bP#3x74b5myhHwG#+FV<8@@D*lYt@;+P z3E0<{MSe_wQy!@X**RpjF*m!IDV0!>P9IKOnYyz}o%G>m385(bRxM5JJJdkGM`xtS z@X!86GOH60ef`04BfG9<)D#&hkedK1!HfW;RdKtwb#M1H?uJqg4Fk}Rl6uqm*kqg^ z<}BPH@AH^Z7ceqeuc4t_bfiZ+XW)E)cfR;-t*(dVyoB=PPTg_$KKbBl%ssQ7@wf=( zb=){E-~LFjdU4_U-Cd$NBc_3uh|>eXGKhG9jlDI%Jh_a6h;6^+!G|MPbDS6U6Y4lEZdCQjUG3oy%*tz^}N933Eh} zu5lQsd;9qW@wDy%z#5sOC{*vrV-QN5<{*b1NUD8oS7?#}fUdmRd&M<@=nGJJyQa2X zH$|kEf1%TeuBITzFR60-ZKmQ{6*jC3965u+G^yhPUt$&5zFEj{gBkSUcKe4yecA8* zW4--23;SDMpNGxcaf#(@Gx9nNLR{v;~4??&yVdFnTM=K$f|ZPsV}1EUL*tK zNb;yefXqOL^Fm_Ne#7mt=2mWc750ZUB#+IfVA3=Lu{)EVmFpptiw*^c0=Ivcy+B8& zbCmzPr3?qkLtG0B6gw{a>)q#zN&QX;FIMM%7SA8QSF6ohiTKFD*tv%^e@_nfl2uDs zz1>TC;>Y^I;cAdJ)}(MZcr~6A>E-+uRr7Pg_c5bkB=qsa84bV1-8 z5L`up)P&fRqrlq$jm0O)_I5av#mCq`ZHCkaCNH$l4T`%r$oAV?g zwP$#VdZ(=%?Go9{X~|&#tdnC+y|9AJ`{x^iSEX;69USD`*FC8kxo~<>RU-!%EhD#r zUU3!d_2eKY{l_D+v~a-tWeQVm&N4uv6nnq8b-2?Q_V{-|9(=0$JeTq54adle{gNxz zB@)okKmND)eXViF)3!N)x;`c~&uM;giF}KanJV1YwHD;ybbTz7)A21cj)O1nZrA#Q zy;QFkmvt!^U(>5eaz(i)A}s>-kv;U^X^#B(QIw6)*eG^fx%vfR`%Jr~@ktNE4#`kO zF7?NjgN~uSy!BVpKam@K?;5AhdfBp0MmgMbN&Qp!wbumkXth_$39<&u!V(pqK@riW zPxJ9QTMN4#m*3jNQ|!mpqy+hy`e;mz)F}d}{E4H9$UQ+z!V7d$(A3C(ur-;>{8}rB zA+y>Yuh7-6+=Lz^4-!h$Cd3)nhs>xkZG;$%PrA?=J}<6f!zzdn1I;nuc3cv^vD0L% zp^uv6CKjC_g&wS?71E`aI64$_(n3*ZlxbF51a^t@vKvu#N8`*vr0pO8l%X_az53L4 z8+Ld<4l#*@CZ1fDM^BdLXB7Cp1r)(Da~iP}K}!iJT^8)b%7p-i{;PeI^=!8#{;P&Ki5C6p;g4c-Y^l}ZvX@BCRDxRJn~$YY|?V1?iMm(y#mhWQF;U;1%O$6hpK9u6uUq=UfueSC0L?O(M}M zFazYY7N#i?7bpr=zyD@Y{2>6>Kt|IVbWor3^!Y+pQs*43E?{4yF&?;F5NN>|3~QFN zw-uABP&vD*(@(~$Hb===)JY>66*=efOas$i0VB!IfqF8iW$Klh$=1rpnlUH9$C)Z} z#yd9s*j>Xcx495TCL1m|{0s=(42C=-fieXrjkka^_-GT5aV3{&#mFNn9#NEVX}ytr zzhmO$_4I`0{=5=Y@4kjO^#Acr)XiTb>oRnV$y&+(=0?_`tWf*tyvhyA;fQ zu5UhULa9vu%p*nfw?NI!v~AU;7)bu7-R$HJ3CjkV)_0hdRd9*;`a*fGBT*QLll{3MsulrQL=eAx-7!;|WGV(iC~# zd1IPy63LAk)mQv{Qh39z?r>4w!8q?jcqK`r{!Tiue7TjHbY5(=>BQ%8_#}ejQC~&! z&v0U|Y4Mb5Vgj$jZZiNxpr3JXmfC5UUgMc_;;aEd z=9X(!P_oeK@kgywbqi-8!?5EuGbT+;Y! z^9+d-4AZ(Cwsf6jdGMC=lX1SUax5vnRczV^x^uG1m={g#VC-KAZJ@vr;aK-%I)@+6 zaQsFPJ8?*Vlg*Lan2^3s{g?5SIJ=fh1PZ*p(PKwV|XQ^rpR!helG1^1eg>Mz?hHT%}yl`O6tD?!4J)Y>Vp^ z8#3xf-ceD^F>c;-FDX{JAKjF)=e62@ALZIrUDJU8qJK+? z{P&)ZS+Qm{%CW>S#hsVeF3MBEDqMH86C&C8)duJoqp~^G8|p49!+c;}P!o9LHe+Zi zZ`yQ6Pk;F{znq#D&Tp)DGFOMAzA+fd9cVGC#2(U<3SPN%JG1E)FAfhVUj`1M0Y-)4 zDXWwN$kq88pdMDaQoMu1SN0{|9kV!7iPLS&OT6U_jLJ7CVZt;baX1AGI0%?~D3ChF z;kFqeT3D`JDdgaRh|afexC`dH6QL%|_o`zM;8MsSq{e!+3NZVvvKVmIAC+~Cz-`9> zW_-D$ZY>mQ?kSIDuD1F)m#?4SxvJ3uwJ^T-nq*ir`>XX5XS{dj?VK9|W5Q7GGBdSk zEd5q63kB0w!x_Mm_^;Z?M1`(m_7ye`p~S=)+0)po&Ab$x7t@)nt)C@~s^jplK(NaJ za1975ERb?+4K&9GOCUPI#K=PzZ1Vke5?a(I(k}X<=rbt%C<5<x1^d~naG4z10o;+U}CoQh|DC5k>r`ETkJlCEj`jh(!Y8+ii8ObV4V&Qe(ZWlg9Y|e)KBW^l#5KbMm5Y@K6mt>x!}xbCZ_Xe zZ=LVab^f|wHQP{@O0LvcY1qG!Gnv!;H*yZjra!ps>Yrb`ee>7*3bEr;^z$abhN_afKFH*O^s!|Qg_g)kukA~V@y$LjaOT94~zpI6prkJ zG5)my_|^iY-@6E7(NS-J&NL5n!BYm;eBMl0x}9jjJ6_Dent{CZ%s;x9Qbb&tF@z%t zqfnJvgU8j}#6coJOP|;yo=iGKh$}RBKgTfnK@^A&zEKzI#LrVyI*5fjkyTDh&VCWs zWoeyKVl2Bpq5F?7pnzn2RlzDGBg|#8Kn#Q7#0NPIPd0XkP_GnEg676Ef__Mu3uX?$ z4?m{ku^4dr@95+X#KWpuaB~+(UlXzD(p%mp^$QQ`5sfD3teM@?j|W*f zXX?uqiL}OWNnS~0lnVwqgTpj|@`(0Jf#ezky6L#X za@%~iRENVzyt`xcROFQlh;%&}4|gM{C#`X&w43$)SrdJ@5Zw2GR#Jmffho8gMoFH! zO9d4(oA;_|f9z&3-1X4zUFDY(o)?kVx4Gzz3^y=;;-3VJCxhDZQvf1IqH>EqzlhOP z;p=J7anl=|;TN*{Y>%$n7PSXIm$Skr3CJ?fi2x8OIT%g`fznX)>eJgf?UIFMBlY|6 zMMoqp-0TD>&j@cwU;jg%_!ub_kp%IUx{tjpu2UWtUjjRqM2&@<{u%=F$`AQcz01)9 z;45+kFu@h&U`w~Q(Xa8dlC#k zhF{g7q!9JugQ$wqXGaZ_*l1=~Mho6JJT2!^NsfV7+BqnF+LU}$xS**sMXq3*c;O|C zZfnl7TTcv=XGDKM#;F(6o7;XBmCx&$Uft2kz#ex+`bDc)wTw|?*V=E}O` z?+l^IWf9I$(EEqizfPUzYWb8t1o--4=I9W_*v+i^Zinq?Y`1`() zC0v;Gk0C@_hqyPmo#c`62%-gpTq?D z!vk+e<kXPdo-zEP2d$;p1f_tcqa ztA7wl;(lU{GEp}iUq(asXz(a=>UUwo+KJu2;v=1bt9v~LuWWrm#`ZAPD5pDD3WS7)wLJsvF}` zOfPO1Cn@xQ2n@U|sr8(cM@=Zcz~aF-)_&$IlWU9u?~4nzOYZpc$%NxKx!^`z8)|=H z2n+{AGd3{EC+r*?ofHkY8P&OlGELps>ZpXJm~Vp_G)EpydvlOZD;etD))1%Qm1K@` z5kSruV)Tl0E4$dyNtOYy=y=i>iR>NzKNo0w*xx5sW~>gP)-PNM_21}C5^+=2597$k zGy$ETAt2s)be0^?5))itN&MYM&($NU3>GCyaJ7;Sj9o0gE2K8s;VE zx3iBybO?xsr^@MfgcJA(O?Efr3m_`q}D$`I~CYJ6Z51818fuox*^pet4(UT_Nuq*mmSp=83S)VWmVm zSqa0r^jd8#4QGVjn;$OYRB=s^bf5}*ap%>!c)eOaR~X|v5sm1gHr~66cN;h@1@wEf zDOhw4faN*}O!U|JbOQd&*3=~Cu2ZA>UPD0T?K zYBImM%mTn6v=1T#b)UTJ?rG*Uq^5PuX92bwqReu_709~(wUT8IA#Jy4t6?bZ1S!cF zvqYLMEr!VxvEa4wcFETyaVu3D}s5ed-J2> zx>rqvxV!RWHf){f6-2odpoTFFfduB%xEp|wqG@@FzcWxSW$bu5tn7e0(r7!9K%)v+itUmJ}$B)%e|qB^9@$&*KvCQVo`|+FV6~2#>bVdvtGHJSuosjY^?jz44$A1=RuE;&E|_) zJ48R?jh4pf8t0+FK1U#%Y3y_)nwQ@ez?K}WIi9k$vrb`t0l#{DW#n9}U&SG4TyUpN z(ZJ74)$x#?QIN+Ai)kbRH6s`t41tr~Aa#TUY%_iVHmVUYfX-qtw~Zm(LkjhX_b&nu z)l)*~wO0LrZRe5#;Rp>Qp^zkxLeuiwmXe3%AOIzm>O>&iPUAurl0IATQ8EPU%Ja~k ztfiCMSVyvEVj3lJI9CuDsHWS1+H?^J2of!<6p(Tvw#f$lL`UbM?XS6idSbXSb1@hI z?E@(cCC$?pHP>{cu#HJMD42a}G%AMljH{^$YSOf|eWq5z>@TTcG4tRX1CTIsP+_fu zh7ppfRnLms9S5Tx>NqeQNSXI2cIaia{tm@I&ICfyBz5c7Xwg^gt*q`B&KvXDX0;-= zPpzjYUa}F2z546C%Ru!H6)MNi6Q==Z{57-!P97N?<~bPt2}qyO^UDz(2NqAQE&4WJ z=yGQJZx>#Ba^2~UZFzWFG+q?1E_o@+MFnXQrjI-b`%d!~=;C?;UEG)KII$B@^yWS(h{4J1|^J{bB+ z`?wBBfdq05fXE}?GZ`mz((hUx*@-|3F$LN)wq(!sir77;wluZ@!knBHb@ky5yI6|< zrsfUGa6b-|0Set&nPJ*nW9|yku&-j_~q}Rz)8_2Twe^O7B(+oG_UA@-1)r-e}>fVCRR#KS5AoW z>`eaG&mQ?-+p9f5j;Q~2OM`the(Ces<{Sbo9A{^oiz4c~&}xu!$53ieGKqSPlBkOE z13&YL4SL?QsXs5c^oaV~#)}tz6(W#v?Nrx^r!T(nVg^h{v!j)+4EuEO3o+kx;3TJ% zWJ)010>g43(ep3Oo*+#48=EurA3aGX>gkr|M2|bxa^630u&*k#bJU@}uwSjOQjnPI zpc$$3V&FpK&bnwLQSKxu(Zq2L5 z({x-D>L#^aG)uS(M+tX2%P9o&fmwpg$4DQ8jHJ44l|eW>7z8E(4he#wOt_@#FqeuxHV|5Y)cgSn@@M)~ zro74N6^qYjZ@x`OJu}hFXoOlb`p|*<@?FTGjMNkqEI<*4MCM`!C$gSZhfjeb$9t3N+dTNrkFt~<|7Ha_SwlJAmDR>Jph3^pOy}CenW)Qj zT?Mxz^?WhAXVGQHwgF-JXz-{iaQaio0K8=OOLBuqWH-brN*4j0-DM^9R!dT6cPp4` zse>bBU4^y%*V8&Nm2aIP`aK=?i4m>jhCB2EZ=YO{~nAut;# zyc;-Q@G@!K50b%mDS^1iAWEJwN3J4g&U4u61MA?W=WKezv_MPsF91#~JnfmI&ESih zgqC=8A`I=Qn(`8>7mf~7RL>viqIm>P7&Dk2WF~~fa`a&ui*bQgU|2gO`uUA6$2S3e zj8s}!uNO(OebYk)XLJXVX<$H0c};@&!oK1fcl|a2vq01>!U2i$O|!6egA|8#*HiWV=Dogm(06lI&L( z$n@!{d66v9I13D{(Hv5jBu|IvK|5SN+=11QyMs4uI4Ph`_03<^@qhgjB|a|&v(T8)Ct}b9cbO@ zdT1$P*Vba0CZrc@H2$FmhcB}S;&cWH<0U`51bD?kGsX_`3;KVNxPGEkz9cYb!OIdJ ztP7HB0e!O2$J|2Gay=seJMrFw!}-Hp8OAbAAte%Mk`Fx z*_rMrJ>k|8vM{kaQkXK^*l%9VSlE*?=exXf1;a_sZyU)R(_2A{Rn(M@p=aj#?govp z5pcmbHFXtVj{62Gl@$Rh7Xj7@hQbUzt;d$hZ+pOxnT`C6e$4)hestz< z%sj9;M>VDJ72HxAu|HljqRS%(Rb2g|2G7fn(FRij%_juV^`(eH)ALV1In^T9kO1l) zu*Cy%uKK)`nr(L0aYi`NbR^iIR`H(3B#am)*`pNfVPhRtB*WaRXbl9h9!vF_|yfr9z)NJ?yI}w4V(>5{v>#$H8Idi!0&jJ;P z!i-OTAyId-r2p6KGhk*b5kP;{oxZC1yl*kLOwkdD8x_Crn0IzP|1!!VK@f(_Qbu08RM_G|-V-`Gu{iU2;|Q^RK|vM0@(Wq_ z@g+UtMlZTY=y%g87_q%Kg?Q6b?qQo6fy&ezxN8Jkp=LZDIA_TsdgAm_PH=DMs~B_B zd~7d;duS`KFsEhu-uDR7e^(n_g5pn_{}YF%f*kMeiQb)Uij zo9};~U*AOq{ZCF0dr4U(r0-1>@Jwvt;XP@+TqLBA&z(3E3-!~MHf3O;>zRXJKgasv z;l;A9i_S)!-Kzy-t3bzlgi7O+zbfOFsc|MYXjfAxV|V5v6`J!O^A7AYz

s`ni|zx0%2(dN2V6&nB@ zY@NXOQ&>OVb6RDeRD*J4_~9JGR|lHp)+2NcA-V`}X?PW79Jo__|04Crwj2Jy&0^Y@lPSV2$eR!SE z=LJ7gkm+opcab#i|fYRaj$PF9~thLOr zW)!}Uu?0wN%y#?MT>d+88@sekVsQeQpKt7rBK3TpmeI?T3(z_5-YNkkDzlV|QVpUC zK2l*IB@Ib*w265aka2iyww?ur(DYEW!zwyiU_em0Jhcok{8Y}zcrktYHuYJo`;J%hywxK^$H5~q@<2Z3Y z#E&u%tcAUhFnR%VaM5O(wS#`A*1Pi+OW3jSI>AwD`#tGgCw(B87w859T}pFm4E6%h zEvG$Vq#yt%PJ*?kKPwC$3SKP|?d22N*=@6t^)jxW?mMc24g2@D1lLW8kvwPm2e&E`>k4{mJN5g;z;$H=*t7gVDCdlADnX z)Wm5POp^#M&;q2;N_?fuqIZlFWt|y+fOM4>)Ft zdovLLCzD6H&>}4m7@+8`)TR;lZ3Z|Q(Yc10CzCX-d&;>fBti|ZoaN`YU}-gND(ay& zVpn+(VqfT<{^>UVzbU(m7M*08x4{#&PFzf6pWn9aqJ7`DhBU~J_kR6SGR#fb^{Wke z0o{^kF1yK;g2MGGBCf^?2NVZq%J%_s7XA9Y>kbaKatB@N7&PwfMO-5t`FcCr&-U9@ zme?sJ>i?f!?nB^&0t+yC4@f*u#&@75;|7!=2bk%F*OInh8T&2gMUdCced0{SZ|LbG z)v*C61=47!tCNlQ>B1t9{70WV#D$U}CUFI_t6kvCQ$HtL#!tYPpx2_U?)t7?XNtr% z^4y)A&#-Ns;YyPQ2b<2j@Xi;>^?dsTiTXt2kZD*Ye9+bvwDR64Tsi$objifX&ds}S z=&HsT#%hSGjQxou71R|3bq9g|yf7ZbW^GsAY7Amcd~2O;YZkd$7@IuUXzS|z*nee8 z_xgMx;yiivED_w1m3e=gU9dmY+`bqUSkM|x?-?Y_H3a?9xO{K+%8gf7*OilLrckSs zeFl}j@tQ3Yf!|_YEje3JYL23hYh!30GmIg-AMxs?Vkio@ zE<9S)qp1gdL!Smbqw`l(aPTJM35Q_zr&+=U>@de)Y?ZWB#;uQTlsS$iJ`RVAGEt9|c+IwLh$hBX1}L z+w^^uZ@hx;sPaq|*}G?yHcKu$U~2HqYdaUl8@&9o{dU1%YQ4m6htSnQy$H_uy`36;f$xxJJ#S>*n= zktJZ%>_iexcYUo@aWQLwCwGM0rcCZrP1zv*59CwLGVia$!J_8t=vm0z(Q+C&+#x6~ zu!za%YSX=G@^k0O9*IHb5~(IIpJAN)ucI!68)>q!Ca;Is~Lq1OY+1 zyKClmXE5;nyze*uxz<@O*J5U#XYM^`pS|}zGZUMu@5oeVP%HoEX}Uf}krm!V>eQlV z`PQFAGD_2aeljW7@7_k9$j1Nv-S{bO>a)47uOzcH$d@rmmodraF-fPd`s5o<8noiB zub5zu)|Qg+Z<)ryCHOZl?{-+X28BF&LAx~eTI|L_tJt-v9065+?>9N`SW~2Kg<{NO zNcp+mO39-nRdE0}>rn51j^k5u&&HAV!_*Hpjx7$j)RLB6Wg8Ie4G3hz8?pt#+em@w zaWEyhftw@|Jhl$o-cjY0%0@l0o5R2}qp;q*j6nCJCvRIN$vhFEEqA z7_09w5kJHF5O+YOsUxCQa)(KT#cfr+;2L49#G;koc5rbr)5ht)^2EapDQ-)uA_=l| z>q@!{5B8zGhO;W zaGnt|5>tn$a4^L$bof8?orkCK-_UH7W)=zRE zep$C*FFv|(iFgv;##mEtvc(#$_R--rZ0+MX2>o{Rx^Aru;{!S>tLC;@+JY}HgpE7G zHa{OogucniWA&D>_tyKNS~B$RUW9^=tyrgVXR`lw9~UmDXlU*;3cBsX(1UA&Bs$+? zgQo)$o;ea;Vc<`rtDL+t)cl67?`KUyhS4=?&~a(UeNU`Ua|mw;wq-m-Lb5lv$0%9W zqZ=47GqnH6>`+|wVes}^c;uJDY4_#uvoHZp2nc&lZvjq%k|wP2dk+B?QP2@{e)rW+ z;$$F=>*d*tI`#ac5Y1pe<&ta~R@OZ%Y+-B&h>O^G!s#$QHKrumK^s^GKYfyjTvEMH z%>otYn7;&Uh^+Nh%=?UBVj+cZ+voTPA9iwFZZo|NO0zD?uMnzry1uDa%fvKSa@y`; zSBPcus$*(mm-RuCc!A1}+sIVA#ELH8hfHi5gGn~(!AHybkU9fM{c-4nbfgLzEdwcW zuid|)sR$N7^F(+WlS=RgpFEvw>yz!o%hWJ?YVYF^pe86`YZ|}E2h#Tm(Fej^_q^r$ zIHR&NHf9e6zs7&Edw?v39|a^_YT3{hIy#y#LiX1ju5`f}kusf|U0sKnca*Fj(#U>& zMaO|OyHX%)f31*g8IKgibPFW$Loai*gK1!e<|OUyd?0%pTT#vDUWmJ;+Xz3b@*$r+Wo5E4Ct z*93=C4I9DIiRFh*wd0?cN>{`d!Oss}Qt7|w<=c~7oO^EF&4@ZMcqPH?IkD*L&+jK| z?zdfb_P>tdtBB#JfRPf0skE4)*kdAX>GJeSI&5=8Eedl@;~CM=)1=&|u=GoJR5XGj zr&oeFIMd{+SlL9HWC=+137C`!AkQg`vnl9BIp<=7C<5=QGF9JrI~J-sBD&EPdQGpZ zRk`t9zn{^ypm+)EmyyE8<-2kcmi<;Xr*;6QKwuLXvGZ2~KJc-vTszGsOx37GBJL3p zq&IUg!oLvoQFFtF{9?J1z0ku4JW}ja4VFR?0Y|K_4elwa#vUa%YkPAn`xHj$oxWOd zWn6Q%p*K*SJGmhU+O+Gas=~$$uPu zkBLj0FjM1j0}B|e2P9iYO+!X2-0eR~44aE}Zs}_2rz^Dzx_x3bKeS!PUz1q#>|=L4 z2ZiuKNzoC?B^NMcYSL4^DkGjMq`+z1rl`UB-ZiGT#&*tMqV^R1!#Q(h9)(Yqe8m)d z@G6QW`I)J_GFb<&vUY7$4IPI%r}(fYap2uJ)RGf-ePV7dOIi?5i<(&4yEnHS5zwQ} zPIB<+RpPAD3y+(+vXI+ajtY>R(L(6DF1wekM#@?=^%}VZob%yn=t~O%rfRN2ldd2= zPlI7;884V_rJUNKX@qZ&o}p?=$E-32sS*a{I5d2SOSizA#|$hWupXdn*?;`N#Z&a* zM~YelJN4D=wih1Jfx^afl~zN)JBMPV?4=d!!^Jp~+_!;yVZNMn}qg_gFsPq`~>7K}b-6xZ_4K-|*KDXKZU} z7S2z0E*BVn^q@1iv;LO%w1sziK(gy(fPoYV>%cf4{;NLP()tALnp~rFaUa`q3WCu} zBaA%d3)Po>igsU$MMTv^;}U;=>Ivni2&Wtqecfb9%YUz%&mj{7FCT*xLq%H9oz6bHOg7|^B2T8f#J@(#M z+cBAlpoG?XQKKzwN+-sni71vk#B?Pv${`RZ*mLR1+kt;I@^@OGmwBy*W$^Q>Lk zxytlf-CNRESQH@GY7huIU>Ye6He!XdhCY~im_r`tud5}Vv2Q%pGXJhFo%KwIp-^D~ z&LDl~eb^~T-6=>dI&Klo+Uwyn#cO~Jih>1Hoo>0H-hb7_;Ugbg>u2=`RKWxQiOuPmJ~mS*o-LFV9iama8%on%CZi=eWUkl7o!vhoZ?5${^Qv&R zE8?15r(Gz2np}?0|G7(L<@+h8VEL7ByromlEZ#p@AYU& z$(drwA+hAxZ^&V>%YX#1T_|JM3yYfE7o^EBmKFabh{03qHj zLT>>=f)Y8b@i_2(SyYY#K_6pNvT-a*rplJWO)dl~G*l~FUZZIZt$y_dpJ`T=FR=Ty z{^_e4wYY+m1SRh<$KwbBRW5UF4f)6TT@U_3U~yNzcF4TVw>wKSIDaji+D3S4V^e2i zilHSgVH}FL3?*HLlFdU&r{#R!8^Ria!Kf2%l_Rq>DwE(gW9F~ zOA;{J;@tauvHN`S`oc*wpk%2{-uYg}5Z`yG2>NL=J?Z7a z;7`{a@qMu`V$hATlfGhyn6OjK-pBL0eHU{)2cO>1>Uz1ZY4X_ffG?ruG~wx{jxQ9N z-un-~>q~IZFqntp7kweboHTiieT!&SBo@c&>C2aAcFB~m8nuW-D_Lbty@(G^%^7wj z=WWu4U1+Vh6y?|HUUsy=z`Kh9xr>2uAA|Jn6`y?FVdf+q?_Ec~nkm6+Vzv`fValf- zUX9Af3dFwVp?ja9wKC-6YB=T+t22SOF#*JwfHZ{wVnRS+$&J-03?((99I!v{5`<}; z*W_wF@hFM4-reO!oWOn)03X_tx`fw0?bl!eL=XWYyjw)x0syPbF~;L?0t;vzT{sD4 z9}D;BI<^Y9)tQ+XQI@y{n_aiCNp7actEeYt*_^|aogE4f6d?aP`zQ*d`n)j4TAv@0 z`_)?Age20=f%Gp(g`5c~fQ(!K8M7e1fVLh-7RV|R(k^wFhlWXm9%ZKz<&t^G!7MI+ zRyWSWOia9dOw!}Xxa#v>2_~V2v8M5a$WG&uuto{@qmgSQvFeL$exlEBv(IBgv9&Pp zjzjGgOpl8xDa(5|`)YtiRtkBfaIw0F<4k@?j?ETLVM(8pAU$h~DlcBB1qo>iEh#hY zslwpv93n=zAIXW%7+u&c1V78<5G^&)EZuN9FoxRIteo>(NDp;J@IdsUuyMf^y_+wq z0YHO5BQ>;wHq7~)feym`jPaVrV;iXpl^I!AE?i0@|J+S_@nH3EOK`s)lvG$SZP=q9 z8<#GM$q5n_;%8t$P+bM=t<;Ygvu_aaRH6X?se+mToe0m51w|%~o(c``r6fvj2Jhbz zfz(}q)PfL!)L%H?-RECPcaNWyj;R`S7ah9E=q<0k^Fv8S_rt$vGgv8S35qvOnn}y( zSj~svf1OHWfOWHJlfF_cWU8+MMaB;pcm4Pg0emYJwo{hk+2s0a!o}?cuBoKtBKPhT zd%44xzGppnhC;6rCp_*($3lExLi~;+4(L5%$Yn(LaiAXf+=ToGbl6%eY)p}$}3a9lPQyD+(IAZys*3VyDI*<-2O+Z|g;NB%Q z^3*w$DR{0(t6}i0rA=WXzpIRVq{AZZfs)sDl-%VG*Io^3(=ex+=+gYzt2}|BZT@(x zPqagy=A_QtMmP-E>uLVb6T&B0by1+D^Xkc^3;NzDxV_g#!`o2LQ!tzVi$#4T*@eS<424rpSOb{+zw1!z%lWlt4b^LP?F~Z`mEvF4jjU*?;G;2Pv zPMwN9^3P2QUFP>kdzb8p0kC5Q*>B^BA8uOp!)h6;J8}maqW@4)l92W@hy>O zhoUD>4dhcj!QM&9%h?hE#>aD9<7`~|Ww+CZ(d_^<0JSZ4xD)3c9mFK6@Xcb_uq5I7 zL!K4VAFNwa;vJJFdOV%pB8+z_#ijLouefWyY?>Y94(#R*2<*O=M3%*n(xlwH#_f4? z+JqXpw05y8U}BD*A@R8)3t!WFj-bP&;=yTX#!ip3VR-8E`|2-P{wAp(K0R38U7xtY zaRp9-RY9=az$cd^c-?5s!nR)W?7~B4PBD2B@SV_FL2fF~Z4$1!KZMkRg+oU;aeZ<_ zwWS^p&tQRwItjr5Yh<`$IIxc%wv668A4A4*XO9U^!zab=dgkVxZKlkI@`+f*qDre6 zu>vCv5{NyC_i?C`h!0Z{2HuUJK&^#DP}5o@BVMS7y?juUiyjUlL*8SC)x0D`;ZyZP z%Nj9`tO|j)%cN!|RM^@_{=A{3JP!!p+F5wrFtn6NHcGdwosJ7JsGNL4ba1%YTa7g# z*MP;N@IsWSm8N5yO>EF$c@k1L38_WLttmiLB$(n`eRkt{M9)5C5M(YVv1o60fcxxt zIzEe`u(T>y`xhqk-PbrH7KLj%N1c*C+?91t5L|FL}*G| z3DZ?VF&0@YOu5HI&gKniLpkL*j+tuJu8Ki#Pb*ho?oHs1PiMaCD)QJ~#01vI)eNNp z&1I4$F=txuAGDA$T8IfPM)T@}uAJHToU9uE^MaYU!q(Ikc%GN`mM>MGI7 z%eW{!eiV9{2xd>@4FWU^bt3U$O8mVB{I(`DAx@g^`-L4JaCAz}d(CN5Tazad#R@7k zSSm#L+ZgP2Glnk-#O@5d2qY~wc0zj9HKU$(VxeL%Ta zK=)(1i8SYHhIf2}>loNNB~Xm@U`$LU3=g1J8f**-XT7chIRaR%dA)YY>$|?f;>@k% zx34MbD%8zl^K*88eV}|@_FuG$NL{Ksl%RybdLtjUEYqI7pztFwG3~}T7eq%rE@Rrx zhjf{jO^L)zvBZ$$$R?(@wR$YKBTixI1QsVipT2-*EO^hwu3$K0^Gub|`dfaAL7vX5 zS9-DVrm-OC@Sc|m7-GTb$-NHqP+Fd`GkWGn>>d_MbDtBE#Mn6iJMa%#xvM zA^+(?#?GV)KI2UcY=c)&vWlyOESoo&STy{ciU#M?vG$ydFOa_tq9zkvd|DSB6|bbE zUZeYJ>W-s#Os-{HSurMdDJC8|uD?rd0RE`uUFdj(##_?{lPOKQ%NDub1<9D-9>A*y z46SM(et2zmjU_g~Pk;p9gyD3!%6MPa=@M8B3@_uel<_)5eA!&3X1Rj!MxVt(W#&z|g-I|6UahDsj z^mgOnu0?ys_yj(K*y6M1BiGI6t)KE;ENkN#?%6dGloUB70yo%6R|sa90o-8G4h+Nu zVtwr9Lv5Lxie0762OX7fl@-NF#~a-r-XwO-bkc$Fur<%(14+jI&LObaol z1q~b|FoorPx&8139Y%UfZd4{x&a86WNt(Vhf8nY9%jsrSVs$U!iMF#9>0W zZtOQGkp&%8#aKJ0VrOY>A2eU-vfLT~KkX~ia4@(g2fOjShm)P-pyE~DRD!L-eMnsb zq&9&GmI$d&INz;F6lkH$R4v|PQb2ph|HjSTqiXh?Dwtn3$`VZBrTN9GUZo~U ziwWJVEMb?Ij#XL=@)Hfc%{sq{4ah9sMISs73_M}Lmd-OJ#d+`EzZwv8^>z|Zjr3(< z?xq4N^$(-@k47zOdkrVA6-zlqM7*&=Ilo4s7}MA_I1fx=T0#Ozm%e?3A86?h22F*$ z9>R~ZV^MxH^220kSMCl*`SV9YQ=i^PCSz;_wx!uWD40Ct8kfDS{<8n15~$x#+ z*$wBQsu6!Gv#4xMzAW4M#;bTWWtgaH9y{K89vg2O8#0ZJF^^3;E$fs2Ea9N)utb$; zHwRa~!aswkbhoM1N}t`CW1F(RRZ)ObME-J|>K#3K+d+7z&{b6|JixRvFfg)@$(G;b z_cy5D^YbU>XJf5-zw1!iwaTqNVNivFo55B9H!`mgBFTNNr=Zw+6>Q9lbC3NBW7x^- z)wK(h;5|m1Ngb*mT(ZuJF3xDIv%-tOZ{WmnXs$FDiO;XMTwNF1Z&EY_gnH&fBO&Q9 zA=7cR2ceHGrlI2#nVy|j$D8~c+SYfnJu)7$SITDHXA{WmoHi%yVvom#8&oQ(i!Od+hDW?R|3EfkLJq-dB>+17giEXMqxj2&$7&B^ zf2{VVfNX;XhBVAf)%$<q21g5^r;Mgo|m^1tQS7g6jmsZcX33?r_rgR~4_85$rN$)Vqyld|Txol+>9WedSuz9bj?5 z3+Fdrz<&zw4I|^<_DrR=Q^_%uS8;v)Fag7ze=s9n46QnW@ISdH>*ojG@DX3n;U|rXAEK6`B+(;Y*W>S)L>@@ahJ568N7cm zKuj1QmJ$#(NkD~6nc@>^xQ$;+N0F=6|rnE1K*ql2GLmOnY6a zZd!u--4){N4)Jq^q^v=dwm|Fl^s$`2;`0@#C5g()T;3b|QY=ka8Ij9JSz*P_=YE~Qyf^J&cq z3d>rD73NV`)aGIpU7}NdmAvi@HxD8=UZ`aCGc;(->u$~<<2-E*Oq(+|S9iC|?R z*8weJ8_5~5zK5niSiIi^eHgyBE@#8sMCY?_dw1}vMhas$716H8F+<(1EX%W+ap|$Y z+o`e?ajGEga%DPfs5KFjDHaoQ9NC!kwhK^MVdw{!R!q7_P=1xtA+P)EkPT+|I6vQ& zPw*#`k&J0KD_O4{d`dja6nhqO9NA~V^KfK^#Yh?=!M4GSAl!kR*6 za=}kovC=Lo;cQdNyli!Sb7^77EFR(%a_v%N^*Li2FShg|7Aa z66tBS6!GtDQl{HqzVno+?d-=#fE3dj_NG)#Dr1rAV=;kH!h+15IV`W4x7QQnspu~Z zifL{2H)z29{G&Y~WVt6k&A&7!afhaG*eCm&H+G*l9*7=qSdVdo!SmHwO{|a21q1i} zNPwERQyfaTK-0I%vclcm4@k6oe36MB)ksP5^P*6`tMHMqAGF5jj<5I@J|nn0F`CLv zw9BS&PoQ=@2j|Ft^C|=EjI;- zt3F0)Ek$k28-iRS+vSjh=>sKTf7JT(lAFDbnOYC$wwD(kyE$??1bj9qcw{9U(}v2z zfa#}I1l%IX8v@{E;y=7&bML$k)#7-~3e}2Mvh0<50&EACATfT8@B>e;%X65?xea;*grk{%DrV)iz-(sKo|N8&V|Lo`MZE=n!8& z4XLAm)S}}SB>)ftrg%1tMlGoL;_DwblPH2MBs~}&eys3wc9niy`n|Q;ay2}})1do> z{i7ZypTvtyvlYN8bTS})6>~tErJ3uzl#S(a6Hwh8O1k%rE=MkIH!Zk?E{X}0Pf!^N zKRshJ!bUboy(|l6a6a@`j0bzk# zRE;Nx)osa!V9LS5H)qqXD3!m>TehejdAgk-nkmQu5#YeP#o;Z$LEy;7wj#f8epE$Q zJ5e)JcsWeZwe`cLw*|(f>UKwr1{I8H3V;-U_;mj4JzPNW)F?hfUjC-kv!6bek8UUy zeF0t%t>{@=)AhF-h6jOc!qMi$YC^%9!a4&~&t%*`pQq@DFqj?wyB+CDYB@T$5Js^74 z6|cUb-ep3Wxb`rKHsZhnL+eXL6XjII7MtleDob`&Ui4f6jg;3yNtIJf4oa#IWzvVT zs6&~Qo?v=Z$Iue5DK+sK&OagI=L+Y`qV9}+w&q+APv_cfNe3K7DTiN}%sJZ^Tp2j_$h`?#tgKU@F6hmEp_2!H31-LkBA` z*4nWfwaCRQzdZK{FjBfCynw?~_PPIg4-Y#(5DMR?+CvY^J}7CzLSGw_GLg`+dW-vz zm?#5p0H;xygVZQ-pwOb3uH4f6!`lSas(SL|wIJmgtuzf_(z`3}Rj%=z)q^VVRq~gT zoFvJE;<=!iM4Rj@F-j<@qLv^{2db0s6minh~xil-_A=QMBuWMwd8abyE= zuqx_()?~3h#(Y^F>%K*u7T?Zuw#MCPQOd0;l6FYwAr4QMJQ>HJ*QblLtqmt-O;l(l zUDj!2l%kb|ubzifYD2MKW!PoL_xSMiM?8<|s@#AmQeh_=%6`y~bK&lr$k=3O)>&Qt zz-|jN(pPqxEcNOze)@nPi`~_|)aG+&$JX8LtV*e)fY+h$-6>K^6N#)dL=$Y3gC@)B zkiS?fW$@)jVagA?fJ7bKd{Dk#GQ0-9H$_NPO)_cu)rG7xlH=f6>i_yIDxkx-n52lu zTw~>)5V>o%G_-MUuyQ8|QWjyKmiRH8sPg?ZrqSWzoKIIAhVu>%i_Z2NglKEidgpS9v;wLzE6Sf0{RLF z6x@R`rYdij3=?Yph)Cf2di1HYb6Q-LIXnxRk&Iz)X#CeHX1T7PTJ@*RJgAG-s{Pi5 zW8JW#I-1Y+dPsqrz$2*#CO$(+K=Ar44lurS!k8ZHg&eC}aS6r8N;k5UZ-`z>i+OE^ zk$vv{V_F8Sp(SD1pbfn6Js<1|wm}{!LR~^oP%N@fFbq6bU241|yl%l)&M*e7Djk4P z02*eJu8&W&b4aT3YdW|H=X1N>dCD577|Jii_TJGeW*oFyu7uQ8LF$jA@_aYtsnMvB zHa^430ehFZd`JZ=Nukc_r)D69}X&aYrRKq+v zQ0F+;Dv!pwz=rN*VlkxM-!R`yXl;Yv6Uhz`DLA^Xe%;;(%ta8Af|yqHu@&JuOilj+ ztaw0=tMla978a`V9kj%#-*S#hO+p;B#y<5-M zlHQ8w`tCpEhBX?#cguSwx!nqUDLj9o-Dr(ORsZ3GyL^b=Jm;|aj@e863O!U#98f$y zC@DMCTb@7w9J!Y^;iSe<1gbbBU4LuhdhuKOmr{O?G|HRNsctVE-cOorM#M;1VpV{F zsFPz0dm#r42*7YaE-+YMlBjHq;^gP+R3fQSdeLLR&N*Z_^=fH$QKKaoiXDTA7l8>o z2aN^u0w3;zX@~tS#ioGW3p}chyX?4a;pe2;4#;9CSMSjzStHh zniI`{mlvf4;>`&fwKzo=<5+A6hnYgKmhVkq zgo&>1+AhL`E(~@n`j^;!KZEH_hv|n7)<>%nEUL3kWqF*W9jC5%h?q6l&W5(FFT`o> zONGlY82d{lNmaBNt)!2Q^65I^@K_u@z_Gpe7!u`+hmPywc<^P>VahWh+l16}Z;)Fq zdL>*$@Pk#}bk<3Z(5zQg>_{oy&PckUaDY{%UvhA4Ou<(UqOC{pFUoq1imYUuV|s=Y zsM3&nCBQ-<3`futy7nVDio(^}v2*K^Tvf;;;d=vAVZz3({)b8fGxYdH^Msh``R8CG zGqOxe)vTB$V}fJ}d;3!j4$(IQv`@i2XsNJ9QoDpl`ZJ96j$$#Qsb02)t)xv=PRh7{ zDHm?UC2hxr97kUOv2)+}@XQoP6mi+EH`oLz>j4gS9TScULaiUcoMqBgxii{JTpBBB ziQwr6U5O-2u_Tb=$R?q;C4|aG%zH9K?pa{ukPKBGgt9f>c)9#C)XBAz{LWgB^6j)b zC4%j!tCxGfd4xtnd^sWB=t$uLClJ?R7u3Lskq>bf%i6j+(s%BIuqNx^gmnBz$HN`A zs~_53n@af_H;AzfFmT8WvrV|$F(7?D#Co(}giLz&3C)RtaaCxd`1mcR(j1R9zg;v= zePjRiCvJ}6F+7$F<;4)}QV1T1VhHRVP-_ngXGbs_wFpJeQY9^zO$OhT=T|AHVvH z5i%)&xi|caoLRnKA0W4LJnW*y1ivCkTmY!D^yJc-VrGTa6@%aOvB^5U_6C6mJ8ogyrD{!YwMHFt|i7o(S%(`MzV-Ap5FoO#p_h0lEo&~ z$7VVXV9S;|VWh_41s2elG%&L;OYdy_`1G2j#ug)JIK%JE(I^{9))*^V;*T*vKx8pE z#v)VLn3>{T2bvVG0ss$GXl^S$7f({O-LroF`no{Hhe;D7x)S=}!BDBA4Fm=X)zEqV?2+sfGnkSzu?~bsaoIC`Ao6;egzoHD2gY< zG!u!zF4W>8W9~|)F)j~NzR!9QJ>9T6e40ZP@ZX4wwV%7Lf<}2k?BjjD?@d)9J&OjQ zwT}I2t(fY^tu+g@R&Z^*n->P`E#L5CDc!w4o5bjcuh=^iPfnz5n=)ykBt?EZku^oU z74jfFbiNS-@fq09d!KLM9u;6oAl!)qB6`)Zg%c0wA8a;nSmLTBEj|kbIF$30d`Td$ zUEl=CzQC5gDDQ;1c27HDwlIb?EDDoIiP4a$JJigDmN^C?U!Rau9)WX|Me$maDK5org)M~}FlOwcC< zKYJWg60Er%PPHUykxkAEv*-1;=MB8Y>n*@bFkte0BW`2oTrpLnFfXZ*aHGGBV*U(* zY{c=pZ)3>0r)Tme*~q$0KOaJTgCKrEFu!LIzo)mnk=1h8jlyIfT;j5=FUdxh#`(To z$AAw?W}WFUQ+-=-X3$f9i0s?68s%R+8~n0}O9tk+mGbPWs>mmD`Vb3?yM4P;-}+|H zM#OmH_h>qFYMArJfPrx*-WcpJ&G(VbGOheG z1p6}t^4S~G2S5bO7KD_LrcIQHTYio6|rGTY@!!XS zBEZ7MHz~Ny?)Rq9u2+NjFjW@%k(yF!agLeWhGV+9X5!(q4-)SJioe*DL~@>c4?R2; ziyNPtvjOwX>6ZVRA^v-sA>a51wK*WI^wV~uw`-QT6jh>X9-M8LXf|N@p~xk#=&AtS ztX2Ohae&G}NgRWovMUm5;24Nf^sLU>*@zIz=dG~>uEeZv+v%nyVPNJ&dAMXHSe#7n z{Ua>=d`!_lc5olTVX6|eu|F61!Q5uP_3o8I(qg8suQGhG9)YUp%B#hdEOO+0X_{`H zOt%GdfvyTLPXT5OeS8l*wN#j%FjEqz&u(_3zvN}9q@$yYm1&$wiQuHh@*|>6TEi@9Ig_9!_^CaPc@)i zYtS~p*-fUukd~M+v0;*7d~+OQY0p`9+=J{_-_6vYZ*qsJLwv;`-XJbR{KUXn${EtG zvoMcAg$F4O#ilKcjW>cLPg#_hRn{6ADrE`8Hvo3bR`N1Ig>?G85x64NJq0|ybT(#v zs0S%(RD_eq5S|NGC$oWv%X;9m$sx3Vt1sV?Qlrwv+bdQ7CbG{hiR7D4PBp`tEYI`pc*~5B0T`pxNh&gmCz`6ux!x} zyB{H!Mqj1sYp9CUi*|8ks*83}z$@E_FpFA!@@cJwDhWe*Lbuk??OcbhKxU>gW>_pUgjS|jT?QQeCOb68 zEI9X(HfqU;^1xL_sK*p)e8JSWP+m)Ny;NNP=+V(sbDQO5z?G%`!Ih(MQ(Ny1xtdKY zj%z%#kxJ*`_a0L4wqr@>36af=@a}PDCmE8L*A%1C8nrkl6OM(qj6ph$;r$Uy01VqI zj?qiEJDxS)_eJyO&oRWKxw4g?7A%KeKVtdOtrS)>N0vDN24-a=B5m|GQWLFMaW$v9 za51f)$M|(ChL=%p|8N?-5oOBz{@tTp5xEwzgc!YDQS`S1_xNup`LxnAJr$}D2 zk))AVOX#+5CeM2`nIG_33GD13^Wd!=`IXH7`FYtp22GZKd< zieHz>PQ4^XAiCALgAwc3ooXH+)1A!*O7<` zMkK-xjyOUhhLDE=>U?pdoehU7Lg#MO>hcJTnHyqy12-KV>8ODeZPdFM0zlga- z*;(>rykVS|zgK5Q>lwS0K=tGk5_iLvddk~DHeT_;ohs{}kn6J7Rbla)RhUaKi^PAm z4!Ow+NINLNAeV7N{*UcVL&{5c*v7v~)o|xb8Yy8eNjc+q8{6T^)igS4JCHqJ9uCV)i+L4%-M|Vf&Wqj!SA}agI(D_s)|<)4H&Guk_T%nER*rbqhNkBJg40U<`dW z22m#zx2Ed#I7h`(Q3@)Jw9U_~!Nf$zeuRV70vM$gLmf|sB5Bgb6yx4jeYt?szwBd% zLpqGl1fm@u()ScNkeI38;(GZE0mGoiZw)qoe%ElToFhQ(JUNL-Y zlLbT8U|mjH_(o$9-`DadaAh!+%Xk}QwleWls1ODg+%sv2rYf3jO10G!l-VP2F=E4oNv>(oatncvnC*i7!&{oV8( z$=-+a{i@@qVw-P_Ah@YxLz$#VkK?=)>Xe1y`+n{2ctb$LHP2JdLh+}Is0JR=kOnmj zS#IT1fR9a;m&j6B?pPi{(WArQR#DT#1}1*G6#3s(FZfRgCB93T80C z+)p$&sZrj5y>?cNA=@?oy?b)=E=tx4jkEX>fi`N)F}G8)nEsw6j_pDig;bsskp#*~ z(s3ZCSsR~+Zz-_`n#Itmt;Y)3~OP&%1MCi3kC((A!mM__#7Lo3_ohA$S`{T0KR!feE2+!}`2#1lpHw&s&82=oh0Pj`=yxWi3@&y_G!nz`?B3J2j zFM;2Dv#904xBf=YI(anfLBCfcP5R2Jiq$U;<`*lF!hQCPijuKMD>38tVraivuiPHv zsG4+Gcz^VVrZUFnSq-(T)>ch4g<7wc3U1yx=@c7OwR}*$UxqW*T6(<76SI}rU;=4I!3 z@;S5R4IeOrN;k$u`ictz&Ua^TK)r5@URfHi@w{e{6^hT*8M?^xNvgrlwhjB8<70&; zOM-}JN7%0oCMAM&8AipV4b&l5s2s0&OBjVhvcYHTz|eIbIeO^21CMSy*u_0N#C5>7 zU7VSt*hW4$dNmwpi5U!W{WS(-1votssgVfKJuXl8zy}TD#01|_TZQz90#k8cJ)G$8 zA>XZ^L%!CRE<~EAFwVSv-lp;pF<2c059Sj9N*&jR&cc)FU#|fsiiyAo1d+IeRm0G} z#VJX;gr}n8T8aTJN@@vS4;iPR$8{ zk4{MnHg7eRWiDD+$0FC*nlG{~*x@GF?hBMo%%ZGs2xN~VkN~S971-ctmR_kQ7?(93 zxMZw3e2qJ{$W-qFu+0rG-hTD{wa3%2i|9RP(r*Hv6h0NcpdCF~K^aHY?RFuHvCanv z6VKaYs5{-9*0T5DV!2Tl%cl)&0!_GVaRU#e`P?}>{nN0o;aLksRGCC)ugWBAD(~cs(X}pF`O~8@9xH7mDZ`6FR!Uj zjXv%soR0qzBiLtFHFh*9mnPlxg<y*Kl2lalYNb`^t*tB8z!bIRRQ^H-@ELfX~n z4S%vf5(+PkS&+NhKpB#wD;V{PO3C~U)PV+E+Mg%Z2y>)Hx>BXU|7BCbow~!y7dalg z(%={2kW2V0jmX?q#Xv9ak!Fi;@pX3ROS$xGEOVU;o1Np65ksq%{|?&;Hcr3KVA%GuJN z^ivV%8#tq(3;kDY$QCGaW-?>8a%Q&Nijt5U3+dba8dc|7!$XWXw&qGx;WY=MM{Bhc zHv4cr=|{-iAZ(2(Q+})ivBG|zDtaaN!`-thxSv%N7#I8Nloz}hl|~7?at~&VRgm9v zyPmCh9hBL0x5a#J#+u?nR^s-#drvrgVpKvHuj59*2U-;oCQBhs>m*jl!k*EU*S32z z9sR8u=)X$G9@b4Vem(gBI~h@A+pBH&ky6VylJ|Mx0(*~J(XU1F8RqIi+$XIhz3n2f z1ka6t$5uaC(at<#+}@OKe}A;H2j8d}LAo|{Z{bFuUzmg)S(p#k?q^&8*VrPVTUZ%8 zjD~0IZJ+r2Hi;GLrL+$Mo+B8XFT#7f&+MmejgH*EkE;Ni)3N{PU2xh1;XUc zktFT+b?_nwKNAW(q+w7x_vo!M$Qnjb@Cp@E$vW9bb(24@0{+%8h~9F9Ng8+;9moo# zu%Z+4XBvT&)ZPIB7D+nyK-zj9$>=;&(~LEAcx`(B5O@1gVK#E#MFZJ{O7o%~p*Bl7VCq5m&Cfg8%z^i<4VkzxQi)rDrx8em5&(VPl8!#9KO<;>Wun zEu^S{jA#XSioWpx4J5zjQJ2$tS8*RQ==sq~k0mOd<6c*sT;G4UGAIB3_hopI?W#*B z7Jmtp8fxvgQOQedgXlj3D|d2XE07HpNYu)LZMuUz-W=&-_5KrU5BB6ANiuli?n1!tQo(MA1x&Ud$uVVIdg*A@)n{)R0 zAL;HKxV)dQ`Fe8;IsM>X4svR5$HjQ3tKDfH|2L*ycCBLk*IJsN+&|nTI)?9mR@>kq z{{d3(Zq__pXb;pVs_c-3^T?)bWI5QV_xtd-Z;|NSI*=~@vWJ8xRr?&H5vuU|rB7~> zCD^25^@9_Ic@XdpU6)4<^6(J((nDdzcR#TQtT2E>?E@4n3`$#X?pT)WA-SbfRyS=r zOc_U=a~#N&%Dp+M1*R}F^y@btLz{PC^G?i4H5CWOHN=l}GxdvQv!>G5Lcai4xIs`y2yc|<#)A#Gh3k!?pcwu%KuD(uL1@Jc_+LfI+mua+h_9}S<* zkBFK7PjxP2gV2(uUM*RM*df~uIQ~HK65}I8x%Zt!ub}B3j`ijWI5DV3v%#aS)BE4L zpc0;~9}zn(C3{9Y@VmKcc~d8@4^n>w4e}!Z zMvf%;zONf?^fh-uevyKIW)&L47f!syKcK1rK%sI~{{D$<`3uJ3Q}}Rrph_2j@_3}w z-On=|MKM0Vc4NyZSq6S~X1Txwzz(R7Vznd2ej>ZAn(Z!+|Du2Wcla4|gnS^f@|NTs zQrIZ56Z>~n{ndBr4n`+>r{PuLF-|AD)B@lnXec>q`1s#0?)iGp&=>i?^a z9x-ODGt9g&L>B%7(L3NFIYtYket+Qhe}U_JR^KI&%~%=>76zYlNmTz}dlYj2>{Ja3 z+b496`g%B!XVHb)H_E#?cX;rie0ptdDtT|-k-g<-!+>jVAx-;``W#3Jy`!3eFUb8P zmDQR>)Qel~SyYQ}`Tb73#QA-%!hAG3EHH|G1#7B_1eK}9q4jIoQ2_J50}xc|W~mkA zoa~@Sj9-t?eFQMPgHcqg20N$t|MJeM@0@_S-zD}1r`aQQj{{JYW*fVgNONSt!dN!q zzeIZYaP1?|`7};|>Okwlk?|h_p4Rg}$!hm+Jw{zBX6v9^h;#fG1m*vO?&mabwe{~- z2XGYtK%fnvcQOCuLyiD*L}7S7d_enWADR1{(0QUupP&Mh1)d%#{N7#x6#I7*1*z=v zGnK!s8!e#Pk=_yLd=sg!LiQtCrG;apwg6E=OPqgA;t*~JpkWZwd|P5jq%?|T-@Baj zvs0=WjFOzJdwqa>d-Ic9hmQK$8)IDXTs1UCpg7t|Hu7Jy2+NI~($E#~o9RY~327(p zx*Ft5_|iHY(Tv<1Megh&X=Zgxn$7W%3v*@PrY1Z~x8}DjT zlJ;4Ykd5#{Bize*YJ57GrS<5paHL;5;UC3&+%2p4yoM(pdMN*C{-9G<@uMK7iogD& z=UCVr;J>;5kyyonxAO5n5~8qs8#PIULU$4kSN?)Bhb!7$P}G(t5!Ppv|5)~9R;i?$ zbT$4hQgi2Pr0n{BY9bBfJKJpJgxm8xM9j=+MM&BKw$3_}PEuQyN z;b|V#Xm3gPw@P# zLM8ZXvGV00_uizkx&KlT=Anhp{Fna0lcMtk@T*-w$=_q)*mvkWytgJu-u8P_oc;~G z{AZf_-*DWQNGGI4^!$G^5WXNoaxS32#K_rB{ixM2spY2ykh5P9qP1nTShBpcX59zR zdpVCRGn@caFz00DMf4xkoz%kr9gE;cZP#ryMA_J2@haS>ivj6{1}sQ>nW{;!G5K_Kf6B$IFf4cE_fxO$BF z1La7PN6W~^08^y9k`9o@GDxJ0e!<&4qb)eYzyiSZFXX=sjenoUiTWD9subwP6CLS) zstZA9>^q^nl|A!LhE^dbra5XfXkv%lc_+CShLq-ViNlB;aE zg8RSef=Dedz8}pM5fhujkS;7WKC8P2yE+&sMOYiDI52l`^p3y2Q<~bo@U!?-xYJBB z;iXtan>`X<#~5OD@x6Y27qs2t*QOn7kt6Yed&m~)1vewV=LhxYJ_GIq97oPS`*!SA zpnw=9S(N}h-8qr>Xt4rpD&TMeD=MP{`H)Y0=RtyDvc_Lh?AR#1=hclM$tgE}`+yJV z&SPD5g4P_r77C`(tmfZeYJZ|@rwJ(fV%zop5g%k<7xd6YVpSS+{)3HV+-;%4WGr|3 zfuY(F-0cNp)B+65EdV1Ib#tIs9u-jQA#EGg3flgp)d_)*vJf9seMDJ^m8CL>*l)iq zF!ZBIasa3=fsVKDjwUtP`|$5Q4@}pA#yO$c06~Wjpc7nrTHr+X9$yBK9+XLpV%_M( zMgDg6jxT|RfM2{E^$2BmgFnV9dRKtM@YC#lFc*!CZ;S3G+MJpH zBPr1w5^YDLjm2YY(uA?5RPP@bIXE^C;eBKXL}Bug{$vQyo$$_sCm|<%Y!K(%_pWT8T+ze+nLfsA zaD+oH+Qr;**7Foc=6|@DjclDvj#~hJ;UC`>O*Fvj10?D{Mxy512gyo^*!~l_i{?J) zqPkUj*nf8WZA}t9_p-Qh+;1ZGcO4%a`qJ5}p2edRG5qxJPJ$L=y{_xNpFT}rWF*_tzSb(pSmVc98KG5u z!sZpBBkp{cf|n&c3%jltALp$=_Tskcf4~d`2g198WdM-XJ8@I@;_r(CK9Gif1;g`2TLmO(#EUOKbznw{QZr7%@6sTwQL*i zDoE|>@_?h5)Lx`d^;;&mQ0R!86W3+8Bz>FPMtItBW&7!Q`;&sy!8TrjyJh8%QDXy~ zo32^(dtTT0i=cG(5nP7LN(<1B+Jns9a3GJzYr8RGK$j?45$uz?HhKZC?-nl=v*>$Q zCXN8U1miq%Wh9U$fe#lJH+?H=EC|pOQL_5MP6kBZnNyD^NMj5Tu*`#mUcfSoBpOf) z1b!LyH-6|`o`iFk!}ED>Z>$L@X6&~&AEKJMm^ErD&tWR_P`}UoFDjIu-YlWkmgyaO zbIhCa<5H3_E@ZZrxb9m;sf(O>?g>G)4v)W_Ccu4Zb_7xe?<29;rL9!bS6)N`hF&Bu zzZNBNsbu<0w!5~Hw!tesXveH&dEL1H0cck}RDBL#aME(Dv>#w;WHxANUp1hZ3A}iJ zJl|)VM#{>*MfIx$X30Q7!}yB-7lizE{S=XGudUeMC(h}=sZ=_dwyP-QzhWaeXG`ZU z;$BCOEBV{BQ=9FcbPdd8^NDMpq4u8(=;51x<;v>c&J|Mrz+S>QfoA&L_Vnt|GHPxb zy~FfJl_`3WFm9T=_vz%4Hv6|vX--mw>L~d4gq;uX{B2;MVXkjAd{{dCKFke%Ig+wg z3kE&IQZRsdWv@?NUHJM~eKE5Bk^80ayAreuSC?A+o=gXh`1`|L7bP%irl}0W=^Nan zl7}9_8piP3$%+yNwA>@+)j&Gk_iD_msq|qt;$2>L&4}gk5PC$n=ZjK4H(`+(qGvjT zORhMVk6s+fVpG%(TF_Cg<@xjFHgw9fJtXrd+#}!=PB^?dWuu$gtqjRa)`BLV#`Agq>v(aw8e-F$288TOtd8ICqqTpm7OqPXZbQ?) zh|TjLxw;U4G)n=RMMk+J+b+EGQmetX;6FtQy-2Cigq1n%_p&TYJjl+~bG5vR*9dMF zkNAhGcy)L|Djf<1oLUh)m4oOQ1qWN^Wn7TO#qt|F_A8TA@7Q0_vU7ETtB2+}AMiJ7 z_|L`pu}vV(V$JuNXZme+{P`qRk#GvOgtq0$+MwIr^{A_DLdtXYU?i$BTV0HT2$Lj9 zUVu>$wF3hyl-UbVW}mOl?C&TPYGiDagO=3~j*tUitB^bz{rH#YRY?GO&=LcI8?kLh zG`M14T0N+tS5%JqH2CZ@5!*y8-IdcQv?!AoW#_8Fln?M5!5eI_FC8Cn2G?qtORZB1 zK}{g5ML4ZM8{fUFu*r^Y2L~v^Om8hK^Je$;Q#xWB-Wi@NK-K(`5k199n=896DU#Jf-=_ z5*g9@B9G~izG;h9eJ#}HNV=voO9*PT$FUrQ{>$!V%;iz+(3+hL=%8Z+fj0DTPh=n_(ry z1hQ%{G&AW2PV%C1e)d{EpZK;n=9`c}i;yS+`kN5}V;RH5PK`*&jtB@Sd!z|WUY!{v z<#Qxu50cQ2v!0c?&aUe6-OF{oP`L?+fM!D$nIyzQTtVy$7kPDYTy)>v32fG5(lOF! z3I{_ba`bYam{)rU$6orUMcc7mVZKc}7kGvcZ9qQk{YdsYUS+{PyaGF*;K{rJ`sb}Z zK?fzwyy{ac;2wvMa;?B1<`qDDf38K@NV@0uyE$lQU%g=-cI5#6Rjj@=HiZFGxNYl9 zqvw(^EKgvO`ib%MwHy5a+PXn{BNVNb0h8t4(z=?}0XsMVlJL>;>`bqCl|QhW zw?X!rGw9+y77J{n{IrCF>SA9pdxEGflIl_gy6dfi9mw6IpNFCh0=f)G3Y@LOJEzkP zJf8i@Sfu&o@S6}IUv4r|@Zbj&rzbBgTE<;IlxvwkT;h7z;l)HAqK`5I)b`3f$FF`H z)q*B3=6hMUKnM!tMLj7Z?r)Srpp%nCoeZ$wNGFM1Zlsg5KqqPQH`d9JQk)|mhshj# zRNIi7QaF8xMNv8UMkHM=3&ml9qsr91S189B49d@q%rMne{-zk$IBff4(p4ZT&OHB0 ziOeyn3j0Eu)gV)C&o`p%Y3a=F2L;f*egR<0izS{Xw?CDxX`2^VqXs}30Qei^qn(d9 zrmI?=x*u}C!p$R)6p1iyw0RBZmWiV5b{R)GhtO|?7?(%ff913)5kMx1L;>@Vz({ZM zi~qQ?C4ef(^bmay=(Pju1Uwl7DOum0LBz2;mp~kT@jZ_IED-OL*q|*F83tJ%*ubs~PvfJm zAbLYzjmrw{{{#O68oI-|5p@_RA&S1gW4I)aBKRX%DtcaR)GGO?ByShCmuL7gq( zQH8b+=(1+dIzEEST%;d51U8VHa1aF?Qph`9kU}ytuf*SyLduEq9Bi}Gg2IUcBt=K+ zasaPG)*7buem4LHLMevt?|>7oPjVxToqpY^LEk5FNqJO@=$ z3cgTuk~9QS$%J9Hc@km^!9-J(LHw~va zOrK5)X%+(;EJa_sOuL(2Z-c{LOl7VBwAjVSUc5?_=T5w<`@usl#>(&zTqk!{PvT@- zYe+}7`76{6PWGZ%_E-zsW2H+w+wUU7l9B^Iso&IQp+_U(_f*o;pd&st@YvIo&c7|% zyc;qV>hWg;?vHZc(+pN5-lZ8Vkd0&w7jRB#pS^TECTKtk)=zkR=?)b!%-dv@cww1R zOecOizG8X|msw_j@413Y5)4sc5kOyo^J@naPFSOA!iu^^4#jvFx9$9jlWX7|m-R0y00Um?kz`C_-p4n%D2j>m77R6R z;UsAqsTgB`J8sd!8P-)iatVBKu#aC*e>pB*r=tMLwJoG8*~u6l8UET?tKah!HnK;z zU*;6HFZ)Oha)Nu(_e{E(!mJ7(^3TcT@qplf2-(nA=Oj-~9*W@|O2r$agrt;^E~6&$ zT9kzOKodiELK82V{eqtW|CS+*jiFAu^vshawyBO(yd>hqp!gPQ(!jFTm}Gao5Ot6D z0Jmy=@5gYtJZb-OKqSnw05$iJJrgjPQwot3T$e&rjkUEfv8X*+a29mBnsjF zFa2)wCuwBizk_)T4lfazQm7NrjYhEUMX2e1@1ednNbmU1*jegjEnqEOL}05jD$4TbRgD``$oL~eCEX+jY{XP&CKr4|9BRBE zLRLE|0@*17&WYd#8~C9{%o5!ZPKY(Fj2Ztx0Bu9cGA$5bo85IHyKA~~=4z2&jaxY= zu_q~k&s#HjTW3a&^kg^%3#7LExIsc^iG>#BuKN98Q=!4q8`BBa?_d1uO*-g8#E+2> ziLD4LIC|3BHNB5#4;2rU1+6tIz%+y*SLgjwrc_ujH&9^Qzrj}2E5xh+jkqk1V9lUG z7Z*aVzr^PRSU`9k|M?=(06^CBNJJ`uF%etX9S1Mb#}E-S@yonrz~HDAnvzRPQLm(LiY%6pW!_?tZ1 zaiWXb1m{0#?Ek22`3qH~;DR+_ry~`c z{|Q(#=Gnk!T4&}lQRH;JLM`vC$JRuyFHEONA*)TIT5@?{`_9UtN4)g^ou?@F=%+`q z($N>QE_Jx1+d$Mq28+jON7e^5kxA}WAUq8DRz`ggR1q)`B=TfJhQN)*dx>NJ1p&Jo zZXx%CfP4)K1)N(E@n&e}Tv3;-uexN=R7YE=qdVom4K+xYECd;@*&zjvglC41$Rz{3 z9ui)~5gHh7a1e0;`GBN6QLcLx=RLlOEC*ueTD*I=mSts~E(L;U7Dl8iroH>V9Yb;5 zTc#4CAT%%;l&U+)d-s;_xRDA}|!-|68Gf`dBw^(8YzQXOMXkV((zHkKlY;5s+T#E;_Nr7_Tr4HTy8WL);!A>pCQe zeT~R@X(Szg2QA?i`h zW2O;YA3pMZPkWU9{8@~Dd}mV1WRLLt4;wjTEB;SVCjqQ?F!(-K0kav3qkUi6hfvDX zh2s)0G)ji(Vg!^h%)*Kfpp!5lPpu=9@fETejy}CJ9A=s2Q}9pa+}C)WKf>UL8J7hP zS_-8s$Pi-zpf<)LKl{-i$~0>mgPWk5`90FVNT5X4=A7Jgq=j|{gcA7jYrnxg&Y91qzuVAh|l>&G{A^1#?Zj(FB# zuCf~=>k%RdzqD&%KIlcQT=2vuF+opL6k|y74*5}{B_(Q@94~=8hf@4v^o**6E z!HTc)jQJW43@`u~gC9GG|P3NjF zqZspLaFlfA+)y(ng^-0v+F8E{!c&q*NYZ?6eTpFbHSv#(KL|^@ zmh()K>#Efup`KepnQf(W!@oyb-ZQ1z*gO}?EGhO5^H1oA+Be(0)&EXMo6TgDjhy$` ztoYn)#5Vn!$r_uY7ceuF!@MUxe?F9{^H2Y*y6;xAp_00C=jl1&QcsW9<>MVV$L1S6=+R)jWcSn>dT_ z42gy-YSW$Ihfd0VWN;LGM^Nm$uL{u?viO9CWn%h=}W_wr@X4cxd_Q zn*xp6)IGu(dh1`iAn`{dMcJLErZ$7DiE|g6a9wv{OvL8VS?bW?B#(#> z>pPY1Y%r*?ZIE>8!4K&2;bk`kWYo2yjBi`uBIFV8PM%GNFMm+o5~i(3C6*k0Wb4{4 z2ew<{=uI#A`+1sy8h<+X$EZ%1Vj!XE3P6##RcO)frf=-zmj@5^zz%M|gE4l# z*ohkFUlFzgh%#_Y={h}ns=9Zucuu*BeDn{Y(RqPI+eKlQtYQw>V#F6`w{-nxX9ZYO z*1MCouc%E8-e%^Tu*5?v?S(s1$kJ;s5(tj5wD#FEw}4epT{|~2rS%U%^BZ*kjHhh~ zqn|WY()z=rVceqG&u?9kpTcFBMiuu&9|3e>337MTYF8oJKY4?8M<1@1$P1eyHPTF@Tx9p6HPi+_L6aK*X05rOOT5||#~(r6njuqq2J@!S0=HEiol&qYa|dZ0SnPD5 zBVL0hwCN?htJTPd!DZJ<23g<$BF-i(V2uc}`3M7&a!LeyIS*xWz=|c$gbb*F1i;@{ z=_y>e<6ZG{pMdqKz^qTZ+uT-yd1ds8JOJjqe!!~1&RQPe84%EX(IxsMRDGj6I%@y} z6@4ZY(q4~cA|{++U;WVCYJ3X&>X)vu>!Z9hnIdqPCdQe1&_j5ciI?bTaTq@`3fPyq zMNtJ~uF7I395@CR5qq#5Ce8^PWTgb`exAVyN-PF&fgZq^16rN}8;py0{I7I>r}MAzycgcbQQ6C= zB%F~!Go#>rS^js#aqZriML`2$6!!oT&)|@0K^!E8D%<<-6aoG3;ra|K!<|N#pGH>= zcIoX+FwR2*rQaVp_I_=4Kyhl2>I6|D>)C!s!J9Q&>K>)5gSRbMSoB(DMLMu^^f%_~g~pr7>!?rwAQcp>gT7f@q0OJd6-6HbY=Vmj zt#~R>FA;}Bbxpclrr<6lR)!K+PP;O01l1&gDPkj-#{J)g>3nIakc(_a;ap8j{jKxI zS%1asWWA=MBETOOypvuWpIGr~x{p}{HFO5mbU3TzAFuhQ?(yd}I9xODP`<}dn_uya z8$PqJT!YE1qXQ~;CD|u3DF8OWN_La8>OI%ON{SIm zWjv*3tnydHc}fr-z3*v0{;<1qg2EuAsYCi!YS-DE8-a}$_RW{0D}|!PK6*X~Gk9zC z!1%z&mQ%uycMRW5xknWdtJ+)qgJb4Na>gbj9jaF)r^m#ML>;+LYK2f7nt0bl(PDpj zZd=4|oBeTPYN7|u6n|0viPzpOYyC1;CF5pTI;){j&Izj-HU!?nbj_Kbm)t>BO$&p) zvxmVL7G~<^WoJ#8V!ugCM&|+MlFT}fD=uvewYmM@Fj>Dd7_}efKYnKOu$5MlSsI1h zo0?TqE7WWB$3^tCZ_pS0-;HHE-yV{rj+eP6;jTfKJy-SdVApo4iQbk2ThoQEJ@Dgt z;f_CDldrNryvOgE+ki$?tmB})=tI-}xIh_!jAFsGIfvPC{rlGkDMy{rba{8fkrxLL z5Br9=gc6>r^ghh&ln!f8K*tC3gxq@n`9#C!k)Oi0aN6p-4V;JX^(aqxKD#1#=S;3A zn^pr)zhi{*FPpyiTVVQa?(gm!a=i^h-}8pO9#S$@$q|zG3_z*-Ofo<`SiGh)}kT(!Qp|=6QA? zlh?ym^8_{fhqvuD**}F6O?S6upgc{^wGUG$jLO`m5@h`8Ni|V1cvYFgP*YQ_Q$oLA z;%dV%et*h-#tw@??@F0b$^ti~Eh9K3RdbH$_j$*pa0mG#ZW=a4{j^g3nQ^433z>Vi zI!fSWTzTC2ql_(HoI8fRx+Ep@9u_?I|1^0#CotuS9slurqJyTl<-_UEDcw4FjQ;_g zJ26YF;oXh5@Hg?*{{rV8Q+bhRmb*<#CKUJ)*(zN0_XB*(Y(gw{e_FY+-h_zIQS1eKhs`J1^*We>;5m!&n$&Z#qR*!>=q_+lRsrDEL{l z6a!CJb<(~P5EBTfI(uVJAaje_k;ga9c2)g!*Jk%+{u6U;iq@Rpv+-8l*E>uCwFjd0 z_)wdUUU!_P zbXnSa9=T>o4Q76rYwP4X$y7Zd`{OLbBlaBasTmWx9!JHP8;$gaGODMalsF3_Dw_PG z?i=YKXN{SpLoalWPJh(7()2i!>5Lk@Hq~7CEseV&Vw+XV&#im(dpJ7A(}MQC{k&<< z@#mkljcwoW`rF`|L#E)({Q-Hq<^DF9zKi|mq@wqYG+N1>De)gSY2`bG4nGc%XFK>> zS9_xQGAm0~_eXsuW1%Z8B0Yz1)NXyS3sT`T(Sq0N&&fV) zrigxcjLqlPt2>wPUO16&NpVj{y#6UR^Hf?rH8mS^qeN2G1<$IsAA+n#Y|Oe-2C1LV z#PUCK-5bka*L<3qrC9CnyCRovUpA+tJYg^)9WDRyvzPQ{_X6p@ebV_(Qe}Eye;UwL zxr;X5xu)>-f$d3J>)XkO$24!%`~y8=l+st{VWxIek|LntV1fvT+TZ3<)YWHlA3cho z+s*grqz!1@q1yf+->`4Z+0?Pu?!T4e(s=XH&l|U!X3Wj@jG5Koa<6A8T?d=qPhJ9&Wk+K#U-Vdb1?L_)6NA zj(3qmmiMgGuhz?b)i%+bKz`lPVMps2`&8KLG2K{2F#}TBKvmnm{)09@Jz8M5Y2bN7 zxS?tbtAe_rovgpXd1L+$B9ASn)P`GjI)_9`^xgfqxnaWh^sng>K}$w@ZJYDMFMKGW z-92(k)u)hr?HGu+KDf#Pqoc5LwA6HQbaIujbab(X{1jg@H3jl64B8v~fBL`RYi+7; zB$>Xcm z_I0zx>t6-mPDXd~)s^ESI*4Ac!c(`9BLST6``#T5h;0A#xTvTi#5&n|xOc}Eapdrc zo!e`I_teT$S4vJ;Fx{CE6HyZz+>z>a<=&I5ADs#Mmu-TLEg1q-d1MAJr*Vh%24A;O zYGTsI!GtC2?v_zUoj*Pjb>Q-s`I^5=q_i#|A`c9@<;YsA?u9Flmp##H%(t(v_U8PA z!e+*Wruu!=y*;Q$sd-zqESQRChkmQ>=|~}GkHR}MSz$JLm|GsheA*^NC+)g8Tk7hC7S zyB|ls=_5-4a8@I)`-;8T3jnKgR4^DbDe}%bIsJd&E!SFnY>jQRB)ohmXrAdf?)a(0 z@91()o-n%9Xux-V=+12Xl@HgVbz}SU2a5bH8?-*0lKq2nntyntS;qNgnK}DEsW{*1 zQLpK;>VpqYi3}?k#>R{wcWvf4?`o~L{e_8XQpv6pS6+838c}WkrpVVb+l`3x?t7(7 z!>_P~O)4kyle#d23&TS?!RrhnA>$9P$c&3#2vTQ~hN|J}VQym;t z4ws)t;2ZWo&*|9WQTgw6y5N*=Q`rQ^Q*=~y86s)7Ud;@6qtPdlFph^QA*@O^C`7u|iIuD0Fk0jud|HkK#C zeY@?`O|B$1w0X4sHk09ro$eWQozq1Pmeiw$@gZ8qpHAm>IE_f^Wlk9yT`qGzYgrp} z&*@{4uGXJ#yWiS;c-TS)6iwnVhlT&isSu_N_`%bWI(68TzI? zRtsb1ePf#IeyGrEe*kDA+$kvcfOYEP>NWMo)a_sZcsN+su`TC!;mqimBTzX9H#1!? zCu>&|r~))qS2mD$T2gQv+^z<=ddrFiu7NJiT&(R}CB&gm@&{Wt&mk#6&voFo9V;I6 z17iWJXyUUTjxM$qj*hla-)pw>K`z4H3$zmj2EeqUomXIi4%#7YfqW2|E%Ku`L3bvc zzwWcp?FQr-rdQ}7?5M0sw9+suvUC&utySXk*i0}iUtu?1p za8h*-8))n~_{FiJK?zp!1_@0`tu?ImTk!;0UI@y\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
X1X2X3X4X5X6X7X8Y1Y2
00.98514.5294.0110.257.020.0015.5521.33
10.98514.5294.0110.257.030.0015.5521.33
20.98514.5294.0110.257.040.0015.5521.33
30.98514.5294.0110.257.050.0015.5521.33
40.90563.5318.5122.507.020.0020.8428.28
\n", + "" + ], + "text/plain": [ + " X1 X2 X3 X4 X5 X6 X7 X8 Y1 Y2\n", + "0 0.98 514.5 294.0 110.25 7.0 2 0.0 0 15.55 21.33\n", + "1 0.98 514.5 294.0 110.25 7.0 3 0.0 0 15.55 21.33\n", + "2 0.98 514.5 294.0 110.25 7.0 4 0.0 0 15.55 21.33\n", + "3 0.98 514.5 294.0 110.25 7.0 5 0.0 0 15.55 21.33\n", + "4 0.90 563.5 318.5 122.50 7.0 2 0.0 0 20.84 28.28" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#import excel file\n", + "file = pd.read_excel('ENB2012_data.xlsx')\n", + "file.head()" + ] + }, + { + "cell_type": "markdown", + "id": "9ac0071f-34cb-451b-896f-7ad6d332df16", + "metadata": {}, + "source": [ + "\n", + "(i) Perform data pre-processing steps on the dataset. Handle missing values (if any), explore the correlation between variables, and identify any potential outliers." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "bb73a821-ffc8-468d-bc27-fb00f969d6fe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "X1 0\n", + "X2 0\n", + "X3 0\n", + "X4 0\n", + "X5 0\n", + "X6 0\n", + "X7 0\n", + "X8 0\n", + "Y1 0\n", + "Y2 0\n", + "dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#handling missing values\n", + "file.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "id": "6ac11d82-8a8b-47e7-93d0-003cbcde644a", + "metadata": {}, + "source": [ + "no missing values" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "98907a76-5b5b-4e48-9787-7c882649bb40", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "corr_matrix = file.corr()\n", + "\n", + "# Plot the correlation matrix\n", + "plt.figure(figsize=(10, 8))\n", + "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=0.5)\n", + "plt.title('Correlation Matrix')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "631eaf93-6c66-4805-9506-4d0d1e84f4a4", + "metadata": {}, + "outputs": [], + "source": [ + "# X2 and X4 shows negative value for y1,so dropping\n", + "file = file.drop(['X2' , 'X4'] , axis = 1 )" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "50aa1ce4-1982-4236-a5d6-0143513e406c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Identify potential outliers \n", + "plt.figure(figsize=(10, 8))\n", + "sns.boxplot(data=file)\n", + "plt.title(\"Outliers Boxplot\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6ea460a4-7aaf-4cb5-bec5-6fed3e9535bd", + "metadata": {}, + "source": [ + "\n", + "ii) Split the dataset into an 80:20 ratio for training and testing using the sklearn library." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8bec6ace-ad7c-49dd-8fc2-16686100bd52", + "metadata": {}, + "outputs": [], + "source": [ + "# Define features (X) and target (y)\n", + "X = file.drop(columns=['Y1', 'Y2']) # Drop target variables to get only features\n", + "y = file[\"Y1\"]\n", + "\n", + "# Split the dataset into 80% training and 20% testing\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", + "\n", + "# Standardizing the features\n", + "scaler = StandardScaler()\n", + "X_train_scaled = scaler.fit_transform(X_train)\n", + "X_test_scaled = scaler.transform(X_test)" + ] + }, + { + "cell_type": "markdown", + "id": "daa12ac7-ccce-4dc8-89ae-80dce28c8f5a", + "metadata": {}, + "source": [ + "\n", + "(iii) Train a multivariate linear regression model from scratch using numpy, pandas, and matplotlib. Additionally, train a linear regression model using the sklearn library on the training dataset. Also train ridge and lasso regression model using the sklearn library on the training dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "39c81630-8701-4862-825e-18a490d30429", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[22.15503257 -1.39118171 1.59288178 9.65507366 -0.02454408 2.7149263\n", + " 0.33619866]\n" + ] + } + ], + "source": [ + "#manual linear regression using normal equation theta = (XTX)-1XTy\n", + "def linear_regression(X_train , y_train):\n", + " # Add intercept column to X_train\n", + " X_train_b = np.c_[np.ones(X_train.shape[0]), X_train]\n", + " # find coefficients \n", + " theta = np.linalg.inv(X_train_b.T.dot(X_train_b)).dot(X_train_b.T).dot(y_train)\n", + " return theta\n", + "\n", + "# Training the model \n", + "theta_manual = linear_regression(X_train_scaled, y_train)\n", + "print(theta_manual)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "3d094dbf-2cdc-4c1e-8964-cd66d2d7bd61", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.1550325732899\n", + "[-1.39118171 1.59288178 9.65507366 -0.02454408 2.7149263 0.33619866]\n" + ] + } + ], + "source": [ + "# Linear regression using sklearn\n", + "lr = LinearRegression()\n", + "lr.fit(X_train_scaled, y_train)\n", + "print(lr.intercept_)\n", + "print(lr.coef_)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "1b73a3c8-96a8-4d52-8fba-9fad2a8f4c6f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.1550325732899\n", + "[-0. 2.16130156 8.24667298 -0. 2.63576533 0.24724018]\n" + ] + } + ], + "source": [ + "# Lasso Regression using sklearn\n", + "lasso_reg = Lasso(alpha=0.1)\n", + "lasso_reg.fit(X_train_scaled, y_train)\n", + "print(lasso_reg.intercept_)\n", + "print(lasso_reg.coef_)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "d2c1355c-dd4d-4207-99e4-6964387a81ac", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22.1550325732899\n", + "[-1.24477499 1.66281749 9.4992238 -0.02604625 2.71116121 0.33597745]\n" + ] + } + ], + "source": [ + "# Ridge Regression using sklearn\n", + "ridge_reg = Ridge(alpha=1.0)\n", + "ridge_reg.fit(X_train_scaled, y_train)\n", + "print(ridge_reg.intercept_)\n", + "print(ridge_reg.coef_)" + ] + }, + { + "cell_type": "markdown", + "id": "019e1ffc-d112-4ef4-a75f-d7d0f92b7946", + "metadata": {}, + "source": [ + "\n", + "(iv) Evaluate the performance for each model on the test dataset using following metrics: R2 score, Mean Squared Error (MSE) and Root Mean Squared Error(RMSE). Compare the performance of the manual model and the sklearn model and plot the predicted vs actual values for both models." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "804f6cb9-7dc4-4e9f-9a3f-1893f5504edf", + "metadata": {}, + "outputs": [], + "source": [ + "# Predictions for each model on the test set\n", + "y_p_manual = np.c_[np.ones(X_test_scaled.shape[0]), X_test_scaled].dot(theta_manual)\n", + "y_p_sklearn = lr.predict(X_test_scaled)\n", + "y_p_ridge = ridge_reg.predict(X_test_scaled)\n", + "y_p_lasso = lasso_reg.predict(X_test_scaled)\n", + "\n", + "# Calculate metrics\n", + "def calculate_metrics(y_true, y_predict):\n", + " r2 = r2_score(y_true, y_predict)\n", + " mse = mean_squared_error(y_true, y_predict)\n", + " rmse = np.sqrt(mse)\n", + " return r2, mse, rmse\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "b13224b1-86fd-4c68-ae19-95537b76c381", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Manual Linear Regression: R²=0.9086, MSE=9.5263, RMSE=3.0865 \n", + "Sklearn Linear Regression: R²=0.9086, MSE=9.5263, RMSE=3.0865\n", + "Ridge Regression: R²=0.9084, MSE=9.5517, RMSE=3.0906 \n", + "Lasso Regression: R²=0.9046, MSE=9.9392, RMSE=3.1526 \n" + ] + } + ], + "source": [ + "# Evaluate manual model (from scratch)\n", + "r2_manual, mse_manual, rmse_manual = calculate_metrics(y_test, y_p_manual)\n", + "# Evaluate sklearn models\n", + "r2_sklearn, mse_sklearn, rmse_sklearn = calculate_metrics(y_test, y_p_sklearn)\n", + "r2_ridge, mse_ridge, rmse_ridge = calculate_metrics(y_test, y_p_ridge)\n", + "r2_lasso, mse_lasso, rmse_lasso = calculate_metrics(y_test, y_p_lasso)\n", + "\n", + "# Print results\n", + "print(f\"Manual Linear Regression: R²={r2_manual:.4f}, MSE={mse_manual:.4f}, RMSE={rmse_manual:.4f} \")\n", + "print(f\"Sklearn Linear Regression: R²={r2_sklearn:.4f}, MSE={mse_sklearn:.4f}, RMSE={rmse_sklearn:.4f}\")\n", + "print(f\"Ridge Regression: R²={r2_ridge:.4f}, MSE={mse_ridge:.4f}, RMSE={rmse_ridge:.4f} \")\n", + "print(f\"Lasso Regression: R²={r2_lasso:.4f}, MSE={mse_lasso:.4f}, RMSE={rmse_lasso:.4f} \")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "523ae5bd-9115-44fb-9d2c-cbc5d828bc2d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot Predicted vs Actual for manual and sklearn models\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Plot for Manual Linear Regression\n", + "plt.subplot(1, 2, 1)\n", + "plt.scatter(y_test, y_p_manual, color='blue', label='Predicted')\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color='black', linestyle='--')\n", + "plt.xlabel(\"Actual Y1\")\n", + "plt.ylabel(\"Predicted Y2\")\n", + "plt.title(\"Manual Linear Regression: Predicted vs Actual\")\n", + "plt.legend()\n", + "\n", + "# Plot for Sklearn Linear Regression\n", + "plt.subplot(1, 2, 2)\n", + "plt.scatter(y_test, y_p_sklearn, color='blue', label='Predicted')\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color='black', linestyle='--')\n", + "plt.xlabel(\"Actual Y1\")\n", + "plt.ylabel(\"Predicted Y2\")\n", + "plt.title(\"Sklearn Linear Regression: Predicted vs Actual\")\n", + "plt.legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2cd6ec3c-f025-4cb0-81c3-d1104b00b185", + "metadata": {}, + "source": [ + "(v) Propose energy efficiency improvement suggestions based on the insights from the model results, focusing on building design elements that most significantly impact heating load." + ] + }, + { + "cell_type": "markdown", + "id": "849b83f8-3a0e-41e6-9ebe-005c425bf1a1", + "metadata": {}, + "source": [ + "Model Insights: Feature Importance\n", + "The coefficients from linear models highlight which features most influence heating load. Larger coefficients indicate greater impact on the target variable.\n", + "\n", + "Ridge and Lasso Regularization:\n", + "These models penalize large coefficients, helping to prevent overfitting. Features that retain significant coefficients after regularization are the most influential on heating load.\n", + "\n", + "Recommendations:\n", + "Glazing Area: Reducing glazing area can lower heat loss and reduce heating load.\n", + "Roof Area & Insulation: Proper insulation or reducing roof area can improve energy efficiency.\n", + "Orientation: Optimizing orientation to the sun can reduce heating needs while balancing cooling requirements." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}

N&_;>`|57_JWWbB)8 z8w9U`*6Nwgz8!G8?J2Q7Ql=O*y$=3(^*I9Jo+?5iT|XF;j7Uh(ALc<-5K6 zC-iYm-j{>wBJG{{kSKY8qb&*#C=>9+S^B%KLkHv762{y9FV?cYMp%7U>zYT|(9&NSsk%tQ>vRDt;o(*&%s4Ax!a59)Pybep=v zaE5e_7<)|*H*M(rCD>$QoqXe+8Zzexj3L7eNhvjbZuODvTcfN)_6~EkB0&p~y z09?rbdI0|NX>tkU#oP5)OLe)>XbJ5YVR@qhbLdZJXsI9KD!WS=)dj*eNb|W@or%Cv z;>J{u7*bGhei#=m!Y1frVO_DxqS8|fQd2bn^W=~yUSDq}TvLpPvB9bw9spH=JN^Ex z^`K}ncZ2bVXS`AXKb94btR4WYERTWbkIs_5B`R1OhSvMy(!9fg_<*xmazzb$LI_|p zB-OY#gCtx4U)@=MY)JXn|MCScgK(PTq6nplfX|-%3x;YRz&F7Gcv`UMZ;M%gPes_P z3v39CTnM>dQpNfiFYJjR%QsqjcZ7MDAT)o^QKvqK-fw)Ln*M+bU#vwrRFVy^T5w|U?+IXB0EZ)+w z#liIl{8WcEKSb_Q+aZ_DszmiVx== znnF0!Y=7NUiM;|A4QELW!F%LlzgF1@ZPpYRum}qfKG9T^}L8&Q`8k4+96&J_X@Dj@8>RW z@M12k-^{e9T1J+HeP^&U$?A_7S48p8U}^Ce)>t#Z*=;oSXaC~)4R(S5wT@Yu)y(pr zmP~ELQUD|8fadt%dl4PlQAo#|r7+{4{q?(aLG#ruFVai1)B`P91aV*;?gsnlv#O0> zSJ4bg-khodTo3nc)|3*MWy0qRVezPg0Bh*LJQh;HdW-$dSm^Bh2ip#d0n5KM*b@!w zY&|%<%M%i&97T=)4>VPZ8;&v4{t_8WVk-qa>Lbk&H+DS!M-Am zog3qA-4*H~m8n|qh)I$pEkiup)$uo3j=N;<&h7$F2etuDfd9$;02@v6xiH)uc-!vKjT661xDNG;ip_h_iGS~led~v5k)pGOpvKhX! z{rApyN!g4owo!nG?v4%obO`IPGVoISo3_-CU9^JP9NTUFn7f@fLkck>?u+&HxQ~jnU4UE{mU&B>Ppf-rwRTRlhsz zP3m-v-K+n-FeJ*pKmuAyXnz5PF1-U=K*g}nwwj<85jgeVUmmG$X>Zjp?(aPY91y$T zi_74Q*?XD|80_2EEO_q0-y`g{c~~EH!leqpxc7cI$^D=vA^7p~WCFexeV=|&h=LTD zZD2ypf-m5yzu&JfUs&JnYOq%9;8y@&ptQ!HWuEy-|j?AH4GUcYQavscfykU-Xk{xBD;NqqphzIXz$xN8|v+2=3Hgu)@6)?4Pfx3?E@%O9a8(r=p;A4#1G+ z%aS(=&lDKDiSZ1 zptyKGq9{N9-bFbQMYt5j+O)7nRosLhzl5>Q6uD1QmG!^4)I$?dSd+d%eF-VMk(s-M zmsXcYOp+SmN#L38v{IBna4MfrojK>CJveDXaH0<3;ZpXbgU@Qy#7{H(a?>r@8wl>DQ zG_2U2-tY@Q0=)5$odos_K`Y#B{oE;a9qPtll zxS)9}!diM*6j-acHu$=3Y1-|iI~Xu>`TV%UXEQ8)M-BVyq5Bo*Xl-=Ht=bYCQF!QfBJ&e{aTzrGJ3!Vj3|Vz1d@Gpn%!$wi)+}!c|5_>|(SG-UtxkG_ zafsXXApsj5tMrrIDZBUpin9P`4!jNZN|$|;ezD3}8y6BqofRD9LbogyEor;+ksGX; z-m|7@c4U$RSl5E3Uot)5ULEkx-U0nE?lwFh^A7yT>+k*oplHjm@#3dn2Wy0np?p9- z+QrDaqEupF2^`vH!^U(NgMqO|qx;1b-x!(Jdr4Br`uXMge!3S1l{?XpT%SX<9ETqP zE;D&b?M=YYq0z6IlF-@i6g#eP+IvK<*RFneLtv=Aywmm!XibuIMh!4|ezV|#;hL9G z!Wh!N0Y6MB0=R!yp+9L3(W@x*49br&BG>+c%+~z_XDu?95n~c6UxUePllcun;1%lk z0W2FguK^IxFA-YmxbgX(fEOD--|q?wwsfe7*GhXFbXOK?1if;AQN6)b zK)1gMWHEXM*pDuQ2Dla}UW0mFt|6Qk@b5d=6j?kTu0J>!1cKoH0#E0C;WjH zI|`fObl4lSS_BU;{qycyN%CT#j@A3Tlsf_VpF!;3w0IDt@rwmjMxgUq;dFkAWgP{B zyPIJY5M$YZ3xkJ9O$FHFZmWd&{fqTiMuA`M!76h|c>C3|!k8QtiGek2M1Xw2!(J)w zCWvGY+-(sMmLLYUHvZQ7wSVP*wHb7C#G%1`2I49|_c;~z_y%lV z^XPsxm@xkK6DqL0nSl2q6H)o1{S#xXv5^2|Wq6zK#sd5QJkQ70`9YGJ+4G2l^%r}( z>BZ7JpU)>Pau@Q1?16q+^VlX;u6UnZ!V?^SSX-il(>$jWu|ZAEx8*mq7CQaeJT$M2 zgw6h#@A7)T3{eby_u=@ki20|F)S(|1_C3A=(G(}=+Ufv~&7UW2uj1yaupeh)Bbdv# zU^Pm`EQ1Mq%wfN|1Z@8mOTa}Y?7%mmz294az)OM3Zj1ca_ma;~dSRx8bQ0!qTH zyQdIC{)4nXE`Ob{Bp<{HSV+Y6U~JEG?y@R7f%y+-wI3=V>%gW9z04#1<5xp&`^rB3 z%4=CNI4044I)}3|k)4^y&o$cN1?mUbI_y!G1z197hbxgvW$>=gb>EK1zZ$LQ<&J;- zuscV>!f_te!DrirymPUNuXGtv*W|l8IhzG*(*EVlC?@O93q9Zo6{*smmH-nVjU1Gs zFUrZ&xz{h|ch6DY@-bX{SE4K4`eLc!Ih@{Ti#SVIbk6u%{+`#2CdbDz=%)klj4<83 zGvH2paLA1wMNUe}~en7}!@1^}H%r zm(s~lERlkGDC>Z#@+HXr-K))l9pzA0DhIv<){%|)26eOuKl7PJsjE%AcE}TLU4Wdv zmTR*a%`p%D9sIuP{a0frl!EZOg@yw26~CCmF+Qfz@6pt6FPMl_?X+zGo~gn=I=i11 z(2=BqVdbBQmhr14qd6jup7`45DFX1GtOJWjisT1xRugxIh6by z&#MF$X9BmD2T%i*PmXh7Ukb1@letkZXTZU^>-*ed3r@VHzejd;K(-YUxK#?JdgvlSOpaMzAyWg?ulP6_&vZp9~Q13 z27&d>4lZ@R*Z_Mn1Sw164{+|m(iDQ!%GRTMqu$%m>2Fvp<}V)`_}ZfxO$ll>39j(# zU4t?GjWgaX#UsF1M)nrD#`^tE9bWG&le|ClyDHK;xh}tbKd$!-_Q$~Z{ZBg>@8Jb3+nn#%kE2h;3f2hvbR6Z23_*%#;M@iM_gU_}`S~QH4sbOi;PjUC+YviV zx)&nSr)p0lNOxHKkDHFS{-kUN;JZu%ymE$m3QfpmWiby$_@Mzx^#WOP+siK|OaZVZ zl(3JJy6IJu^YytvHZV$`mWjB|e}1 zbH9$uVQT>{`bPianCesCxk3e=*ieg=rDNKipPupS zABH^v5(y}yCX|-24IxgS3!R5w83V74vVZ)pgVE-2z+oM01>Onl$_MkbYB0f_OofW@ zfe$1BzrcJi`Z$0xDv18322-g7_m7|KFpgvLdBJkGpN=a2T6*^a>vC?oTnbm3qBeqe zhWKtKB==hL1-}*oeir>qCJd`CL8slGwq5i-cqF=W+G7l->M4MGCCGn#KYAkLa&G9> zIM}j{5Z41!OG6D(jm?%$$C>XF-bo1n3!HbTs2$UzJ*;Q^;C|ON+8RSLz&7vMPaO5b zqKGz3GtLVS#ku*#<)1w?+zY^l6!*MQOWMQ>?Y$4cxGT9q;sa79#L;U)nwaH7mU(lR z4D!xO{qIhD>Os$2oZZ-$2E|%kL8t;t6ySLVuq~7TXY9{ybD@8&+!Q9V!ArJ6Uk>8m zI|0Y&|7uG+X!}VD&<7+&_T!I3?>P)?<}2`1Ft5AlP*P8adHh<%?(xgae|%DT2(jii zu=BJW?|~|ND_QNpEC6EPw2Jo^yKXNo>@x^u*f$+%kG3jc=ff3XTT8Qs`JjSr{QKHh zt`E#j_vfFc9-B@0#?m~3$gsa-o`12O%Emv}{`~1}tuO|r!?-13wdVx`Y;@Q&wF|}H z-3B!K3;6f5|7n7+AxkSz=VJ~@Hv9hZP)qumYM(FaJ=$DFyvZ;`zrA{>|L!)hmMB7w z<1Wm9^(=8W!1zbuSeFY|8;32GZUnevW_SO@pXVRJA02|CIFy1hdKgo|u2?3+a5HfY z0lXglY=r}yJHr?H1Z6x_>;^w1h}8{hI<1a#yCJndZb)#4H9UusK`jSpyhH#tM&=4G zH~q^?HRH|y^(O5Ld--RbGt_GCMNK1j1%X+6*sKA2_u;u>BIz$qp`-*g2i8v;8Bml| zkuJ*nxj|h}sN=g`tG~k)cNna@hicXjs1qP{$yMv5pKm7oO9Nv#q%ZXC?Co5D z9q6jq?(XojT*z6Y{Xg+B69@d=Jm!xhLv630UJQ7CVt+FiZsnJ(GNxY?|!}6mnDnf0`vx{>;fe)0I&hvI7Kf-GUPg1tcSOSqR~Jo zC4xl*rpgG>imdTMxZ1)gC<19w*X)K(WI+G6wF9)u{z^D=md&N16igfip%lC6W=bUv z_tMqI)|GUUr8G+Hgc~JI!cxkcC`ejY%+Fhk{%BNXG-J|v7LT}_Fe4gjshju`WKmW< zfJ+SoLTCZ%CTb$ZF@jubkw^+RK+4Ps3EjG+8)Eb+v*<~6y2}350c7uUK>fg$*?%!J zz-TYYv-&20aAn8q{caHd{t+DCC(N9Rk4la`+&^03)&BUUS${@fIY{w!O~oj8VHQ|dQ-qIfaRm+Q;E;Vbp2}Uv zb6mX6kIdsE#gKTL7sUSE{ce!^BFgxpizHeB5Xp18wwKH}WwR*WVy3>C&%r$&S+MQy z(J6;I-niKOAF)DTAfU0n1upPGdkavdV+r0SQq;}dRlrsr_&QJO)rhBM4c~mx#@NtO zw_C0G#(8k)d7a&zBh1_LWxN0@1rPN^dgtmJgW$p*E?9biiFZfuIbIHkIWyV>%6{LLU4jc+OI}18-xN&aCM$<{8pdiJL(PF8Lo}KjkOMK z*f5)6PSS_i3njiO?K880x4YZNes`n?yB4<9IQvcQRLSP9C0} z@MxLml`dky(F1U#wA&q~fsBXqqJ>6oL|(A$lTCCZ1B8D}tM>o;j<-B+_$(lzFI)r} z6`XPeSo9ud*Fsm!2kB6^Wxb2G?d~vMIyn-rtp_FBLb%C+aBKp1^2Ppc7R_$`r=11% z9>AQM`4-+|b}JolEad|I6zzf{2u|aZw64({JW%a3tsnlL0`w(&vZe|vaAs?C(zOOT z%fKlBR3NWX4(bem4$B4Wu#;Q%VXNlTPl@k-klRjqu1W z_h(CiJ!ORIB6Z|#z5DWwjF<_*(P#8SAx>qsa(Ss=7W#`Lh5>FkM&L&Df?{FWde)fd4!3rU!mJOk#kizT4uD6W zw$e2`?3upr&`+6Q4WR!C02HZ&w-5-va8(4y@d(s3b8r{D{xk}lcK^dqxuu8wSrp*J z2jm8d$RPTYUYx>X(3=&gNWVu2nR4HiHGC*^HOs?v6a9E;9N?5`3i5W<3ql#@VjHkJ zzufxMdM(PBJgt7vK|}d~0O6m@2{csv)Iq)=&5L&dH9Cj%@FLgih9y;pJHOZS?m%IIdPJ&P+`f z;8qNascXTAt}97AF{nSMT(vV+GTp^s4*+hxc9(bnwAo)K`PR1YJuds7eh{2z1Ac-Y zNUPjo?tEm~3Gt=|(!HkELG|>M#RR_iU#(oE@PkmlERepN1)_!+Ov9n`L=PBZbb4;fJEu72WTJ z2ZeN&EU%XBvKd~NEQVw@m*|@o+%!0aN#8GDq$p740%t8ykRCDB^W#nLVY;|OV5)Eq zN7!Eljtoee&tACaRA8-U7JHVt^H5Cbw0*$qt2wYokArP*zuX>p03_dJ0oG1&*S7D8 zK5O^ZY)*ju80XgBKGA%4pl+28`*#LNKSscQ0J?^K1&}lIK1=XxGz3gyBf~1bjdDn_ zslA$yn4t0~`2yRQU69uL{_mO{Tw22#U?1BX^jMI5{T7GM+kg0XIPR>oyB+<0fvbG2 zs;}w58f#e`u)B5-hWtodd^>B0tocW=(JglqI`pZxQ!21ftJ^5;Hai_RqfN}l0I%uJSJq{T| z5+*|W2dc^LRXl&SwCK~+umJ@>p4DeO;80_Bhq1g9Y9$LC%h~q$YG2&wcp6QjFc*+q z56XW0X58o=mi>A}p+c$?;e=SOe%0Jxj!07FYLQ<{=tT3=)?q_Kd?g)hy*vzzxr@RJAYyga%z6FQ zp*SB^HXnt7<+t6SvfC-5Xuo4jc2W72hz9>2yCiia4L1r3z~D5`s?PkeeZax;#<6J+iEY{u92vG@&HjtL6yp8T zw}udD__u~N*~|s7pd`9J=V#cXe0Ja6&_81Dbpt!88s;Ilu#Up}U`d@%7I5iQa6a`` zT)MA`zuob71uGcuVOFFxch`h9LdUPZ-@40SdC;)N7*R{E9bv-Wu8GZd*Z4HHGnEfD zf_E>8k>R+J#i9#Rnd)l9(~@yl_#@%oafeuUUDXO$8&WDz%1cMl75}yL01j0(14+N5 z%E-9gMS8tID-28c$o}{?&fh@N90tmxm&pjRqF6>SS+hYSp^H zsa@$n5HL<2X5_|ucU6G(GrA<&M{I8|!1uAj(>GqF>$f_9a_3N1OpmZt7FOydcwp{`ek?X4;_c)LD#4=@bawozjx@FytAqG*_7uu%)@zj}bne?xtv6fH3E z;zno>PkDNWlRS;LQj+V35n8$ka@AhGW8&?0s79~lX+4BN{T-q}|10>~3>)_m*vG7t zztjTMU)cCt<;hLutyPPU73>{)zQ+4=iwq5WHG8fK!&vCxL@M3GY@b_(@cB;@od>JJ z@x+1~BOfnRj=#(yWe|YPOh~9hz!m8Xg=zbW$~6&cd%-$cFSiN$UEIZIX8r9U2gIJ$FU060j~=PlIZN9&(z*e)cU5H?=^;Ij_yU=GDz-P`ZJ!(L=aj9p|#P6Y|{ zZKx_)B$Ox#x=U$5&A*G}Hro|;me#EzDi5t;GJN&R&At8h9DrPaXu%QttHt9uj$(-d zxV9-c^Sb#e36ZS8b}g&NaDA|#^M7-W!J_sHlR(YGH>^2V6!UkFp5W-hzCr8;h?n+7 zf-j+eNN2zJnKhfQ-@3%l=7Km)ylfx;165=bh|{JuoL%o$z)zk8@Z1 zU#{|9$QPmzY`GwJj=0uwwCdH~m)Cn~o!n@Q)$5I(2I>gET#@Dm)6}QSogjluIAb`4 z@2AU$Zrt*)T4{XTzcCMvzo6Hoxh848CV|^s@;Tu97`xmIILC9So+)m`0T_Jz@S>th=;(PMs#u&xJ&?aCl|0zN}6d?=W^T6EdkD-sM zhtse0D(AK9KBzBPQIuI07fJT+gR}Skq!9M<{ms4Os`3C-w!bh};At2DMeqmYFoqP6 z&K9UgirV$wn*}gMu$DpsXToH?!C-QchB|V*M!yKC3)uKjcgM!6Z2H`Uux0PhSN*ER zxv!GwqVTob{OT+}THrJzoV5sZO;3wQoXC{QNe<@6je%dP9M1Knnc6UKf85##7rrAi zmUd|1+=$0BhMImC82bmVf!9-<;e*TOd`9+YF`Awgd5V;w(eq*Hu@v%*Ui>oBTfKhx zLciCY78&KE`0af~iZ9%8oz&q0CefJ-^b9`@4H#gW0j7Ml^^~i`%X+Wt^D!JQt#mxB zVVo|o#`kT~$npT|IZVtSU5BrNh+k`~T6Bcbc{U=%Km94nvP zcM1{B$4$VdfR1AZ)-!CX?4q&HY7>Xz#RdRC_+dO(Ztbu=d<%TOAOjq9E&HmOoQfUr zhF~riHUFz8P#*7(i$&LR%bz*_6&wD!e(tM-u7a8JJesdBU@NXLZ=%^tF40Ga1Dnya zz%F31J0?%86tC`+d?oV7UzPw1dJ>a_@J^N8_aIi&DKtmBi_MH61>FKVo(e_)}%3l^krgmXD{f-+(b;=1$k5QzAYx~2zW%8H`1lBXe*9p1Dp0sKbXUKIt{;YCG@1)=4^L$8C>HFQ~m;2Q`;nl_4bfhXR z-mX_iqk>>OAc)q^0Z$1o|JW;(DBYovOY()C?T}56HUD*^I zR{+~egjw=Lw$7ilU|fJ-Yi{+%(IOEdK`;H|KQ^SEWnO&W>IL9Tgj$8mR?5MKZ$HtoXLnjLMAXn_4{ z!>4#Y2dgEY15p5MAq9dpNQ6-N{pI_fs@81LO}XpA9KMh5Jm%?Em+|v)kI2vB!7!?v zwtXpYT&ZwK^J4Gu<2m6v4y@JNneYrP)7xoMqI_trAT^Sxk-@XoK1n_!IW{6wbMXst zl9>irl-+_2#S8vPq<(6P^xWKGwG|8=@7LjyE(_ZmQYWcjWMseH{qd$|2?_4+r+}6M zA+Yi@A9uZ`&ceE$f!%rtSJ@?5q?gOt6c0u%i+Qw-$VYBHAe*zVc(6E55-P*hZ|BTv z){q;AxeaY3IX=Q(%@YGeoo5r|8)D4O(J$&U;Us&RVmpbzvNOmV&Ti1;VliZv|0+yg zv){4Vp+Gnkex2n&$GCpropXE%lNPaIiY%+kv_bo!V@{DMN3S3J!mr6gh=Dh}s@JM+ zdr7}=C#?Ty;#;*^2QaAh$kP4U&|L9yK3J-s0Gz&{EQ)|dZvd2Xj-Kw(tEVKX&Sceh zQ6UfqQx>^Ji$7AH^sHXfIyjzMu;=G}7Nc8xPXf{WhN#tkjS$YlOd}mQOfUGTr3bZA z7ybE}rc=M>j}NauzJfZsdGTx%$s*Oloh>-O%S9<_SS3B!Y8d;AN#no`L;akLWh1X% zkSqSV4CyuOkJzbMAG| zuL8nc z>g(KZ-qkzDcjYTQSIFm2TNBn4{Q6l#0F~z_%d(VJI_-r7q@8QBrR_w=yaO15ju9~e zlfnZextB*QltOfUZ_xwlJ}R@N(pTymhR6HWQ0}mK$~}O5d7Lshe1?Lv!eP(D>n00A zdhUC*PB1XQ8!LUJ!VeS2gI!=|3Rzd^QjzV#c`3fi^4&Jf?SY;21NO8UwZVbC^X>lR z3OIMc`Q<&P#?hl}Z>2{LN@MA6;k8n}e&~)}%e~f5byX z-RB%3SLMi#F3GCt5}36LfU@|T!3p(?L_z#%alsh)cufo*=SO{uFrG=}c~NjIfKWp_Ypu_&-C((L8 z6+~0Sf9jwX8O~7u%~9am>EoMS5U$0`mJx79rBW5OxXl3#x=tAB6c^ImPNTUb=_~zj zo`!mzQ+WT?TS8%oKb=|NroZnac2_Re?|^%$^0OP5D>D^;je*^*!ipR@1(bR4Q2$*L zwwnjL1K=#9=%?G)-)yzGOyCj$SBxj$w zaI|XV3aGYK902$68swp`;)5lAN#CA&_-XNh{Ot61#egpm_UQB-X6cXRBkd;aVR$OQ zc0CuE^Ne1SAiMyVP$W1naf@EI25Ycl{_8xc)Eu%$aGiH27Dfv3D6a!7N*k$<3ga3@ zP4x!iA)bLQuYEVy1yA^5qiG(68h|RChr-djYmOfrIsNk%61QBQ>|dTf)q&%nDp3YD z>gB-sfwl(jzXt53-0Q-<{c882Ho(?!j#w6N%m4MOf-Redw0E7j9E%Cb2%g?)gJu1$ z$4n_XTKZM;VVbhY^>>yFxf;kCLE&(MfO*`Pe(uM!RW$_QS$USd+8#w4?%i0iOcQD$9R2I0N_*i>ZSa9f3PXxI zv3jj|!rl-p~M5`9lsixstr;&O~@nb!<#2B{d6x%b*E8FrsZLxXjuk!0PC6UR6tD^ zh4V!X?6K{e)yE1L!Sri?IE@d;$iooWRGsL7d}~6ToMDgY!^B>(ey(g1z2a6HoQR)(z=r&#us$<$~eAy6Wx%t~`cc zy`osa8-Q~+1*WP<+LfyG2a%1^6bKj()LWyjqGd@C!=7C@ zUGI3#)51`n;ZmF2{07hom*7x~9~Oae><$j+$G4X*xka8HXpt3Ha3>-TO9m~pipvAW z>y_#y1u#CLRn27Ho8P>M4Qg!v&2n}z=(Db+*8ys>polEu7ep#M?~5W_{*s0u-YPFi z^k46)W0u`y;7k%I!?1DWRR)|RfcfbmWUeiFD2!aF zE^?_2?F0F_nwXMbW#Q*J`2oX;5pxXOdeSc*&RljRWBt-{8&U%6k~a=}na-1rO2l)< zwr*=#r!nBmnz?BCC60#J^p!I}>g9<3xm1b=3_AKc!8%IJxP;j+&Q07hQ<0`7zO)TW-` zRPe0==R1LeqMQJ5wgWYHf*Wro1v<&VxA`rw!}i;R0qCDky2}-vhrFR?xcW-5tT+y* zp{e5yz&${Prwa3Vf(z$y75eRlpv^OymouOrMsTJlfg;7#0X`}0`TYgC(MrL(`gybY zEGr6t8eoY;j=mOW1?(F+R$nHH|6p0w2#rn#gN=u zd#F=davxBOMXpLxh8jtND_H8mD#t~svt-OvCfUq^BJz|#$A(g;_UVW0ZFCy+9vd{c z2?sQXw282^K z*1lmJ2#^dxGJZAKapriyzB>=h093FV4TNJ=4p?kCC%+fOi^J)59|9y?ZUDC=z3w9U0lS?QtcfgPOBV!=+pQy?ESH^G<(2GXs0YTh zc;}5TzJy!0%z2H^z*>SkjL9%xz#};8as-W_Xb6g?F~#5BUKAsZ1de!rY+w5M8q%U0 zfjzCp2J<6uWMe>Ij5@P4{oy7{aqFKJoZIw<`$oa}8i;kCCl@~2_({#M-`0~PM;FDN zGr+xGUwQ2sg$}X91@=t7!=fl2dA}3V0OcA0oj$~Jc@GqxB`dBrewR#o7TtaOueQemixg3hwPP*Ch zudfS7S7T^I0Lv|y7n(z&x9w~D>%uheOu-!_Bsg%IdK&Vz+|w@peQfVz(EVoPzad-& z-)!E8yH-uWTtPXyEf8LX)!egQkC^gpS4euDdv>@k*pa;->Ua<{=I7+6MTOg|&u(lq z2ezQ-07i5cI5>n>v_qEy9)TLq=_9ERb~rw(U>s`9yc_8m^;9{m+%`H}=dIg@r}4OG z!8AUM0nQ{az`Fo8AH8pWM+X-sHDilK=i%cb%@NU9eAK>idPX;+Qyxsc0&7K@U%ff7 z&4}~s<3$Rig+1xGvj!iv@m28J8~Bq8g-52R#nb1~^665T?tFt1fRtPcoI(43 zL8~2OY2dzIl;ix()&y(A6>tQd2m39B@8i`<-D5MN>+%Ih^tOGF{Ej0H+98_-weVhj z6d(HvjJNP;{k6GZGA?_8D+EkxfMuIpI1lGHLl%o1lH$G{TF6jyn>Ozy)RT8KO_Mh#pzBxqy;`-OG$_qT!By>2Cf5 z`UJ7|)>h97jjq@?b&wU6D}a)gcrtp3bRZIRDbHFou6Q>cQuyQ|yq}iBL-heg2e5^=WR6_Sz-)?hC%3d(L1_ zijYU0Ud_lSa9_2sV_EV{Vz92Qql0D1vCURQZl#YJjb_&fH&+8^2AqnQ_DNp@<_AU` zhcv5Skh69}-qA)xgY`WZJ_=dW@zG01W3^zP3T10+1U3HM}5M$B8@6X~;KS7jxw@;bcxm5f%sIXwGz z@1A$^keWaMHhvuY7Ju}k1*isQb58XrVC~na0HQ;G((LthgjwtbixCvTLQ(P7^XFuN z_h~2RY(~m}L)h|RSjEq^nxiTbtZ+Kp%PeU3CJ zZl$Ta7Psh$J&%w1P#x%9; zwAYE6@0SGN4GY+m$q@UKrYnenZo1V-P>bf*PY3J9;tB;A1!`SY>Fu<^+iF9o)!tG= zinG6u6oQX^_3mBXK+Fb2=iEGwM7Pik*( z;$waC-M((j72w32T{iQg67!8?h7;>#l}3@nES z!Nf{AC~+YaqEg8FTeo-w6I=nN5U}ZSf2q$)4Jc$yzZUsbkGbP?LVURH=T{K*Ha~BP zzQ5X1V_b3aOyOD@kyHx6+jahvikb212>O>LBMMJxx}zua?cX)!TXxnSWKfg(A7U&E zQ(h?#Y0GYR1E*iRm02zpT+K5^()N|`^3omab&$V-RKBQN(E3@?clYr7HSulHZh9s} z8*}7S(ogiar(OWX3wNbnYUYt}QHjckeeB0x)iV;m?ZdLxe&n9llGolN&byy*lPS3o zhSFfU^Ac4Fm6+h&^BhA-z)im|B2;^-*pC->|I=6cyjx`)+xX43fIk)Yw_dq=wsc`m zos;ltg&`G$fTfbInnVT-Z;3ZiU-kCDd**l#9NE9h(f(_A7WIxe3!-WE6MJ=<%ZG#0)-G?&{2m$m&3(c3YbK1wO2(Fc|4 zNjI3F-8m+~fRSKhJ493%o^z%)A!&xcl_J#6tbv~mR@Mr@*}MX`iQ<7NC(6cEjv%W+ zpjn}J^HeYVc$wLSOF&BadWZAR_@g_|nS9amNQHd_r;e`E? z%ASxFgMWo8*8c9u@awN@pgP4oAq$m1+XB#|7p?mVZ=M%cq-P`%TH~eLdcN@La4~$b zJt~jmvqvZxu#7mZz8RpjAD6R;roSS4LpDfQ+J0LbopBcn+vh)RJE_NkIWV3l!yaJ{ z&g0~)l-L(o15Q5^{GLc}?QD?gK#^z&z#+m0*nekEQCo%IVpfsYS&~M2W2PaTzF*?J zY^YOFmQ$_uI?d12*@$OeXh~&q%=P1M1I=?S7vj_{($B7wLYwme&T{{r>54hmzL>*x z?K(AQ^ELXyf$f#~hMN3iV5>(J&;Gv}l?1FC8QvFbiv3%x_3W&wUtskK027Y}+yEwW zOmasDJXjfw%XFe;1G-2OT5%0mC|hKG6(5mtpC4~f+`QqHGwcC|B7;IbBfNq&I<$60 zus4fp`4|?C=h-}*4U^#vAFFWIt;qP;p~|%Ml$;M^YOwz;)~y3WD>rkanL+ViEuV@$ z$`;0dM(c4`#zb}jr(yPN*;5(do-iXC#Vqbh6*RmlTbAVknj`YzgOHQ!O-70+g1tZY z8f`BNy0_EiB`j~d23&T+pOXRWs0SUO&N3O!&pFyBPv^>8{(N;0Tec~l-tY1xTJS3k z*b2%vxwG6Rm6w!FoX^7yKy#ZfN6q~1Aj;Ks|z%O6*DwU@Lq zZ_*BwyS8KheePDDHTHHx4VUjgrum^0;}7;IvSt4lmYCD<^SJGtL8t>sMTWfOoYc;Q#ovd4#7rislWO0Xya zEibM-3;SIw*wVz)HN5z;pG2 zXo#!Ok4;T}1^gmlPd>QAdY)?!@86dweY>MGmSx`WcG57KdD(*es?KOk>hGq(o)S~K z$Y!U{0(&njZCpMr31=;00aHp_prUHd9uv{vgv_{NOuM$PvDJ{#=6aa{dG0g z$AJGN9jz-t>k{3HZKI$Wa^0vyNgGuBo~!Mz_H>7Jk6ry-*iHo`INu}k5pzwtyzA@9 z`?mIZ_Ae2USKkU*BMpR!*)5l-e9V&mzRqfZ17~C^PO32TDSZ~JyLB|etXy*exBlln zV%Y39gd3QbIDgW92yVkwIxsgshc)yFW$jKHjyeIde;9T_`>VlPJ zC0=O&nC=4pdVj1O=E>xG=cL*LyvU{z-sZjd@t1U-U7YS7_;%nnkzRRie)f`kJdeuMF}MMKm#)#QDKfvX*_*v%SA$HO(Y(W61a68YrBd5?u12bD z!`A3vFXh%&O9!#wvZmdc0b}hgi6WRk-D{{93&2ZJ)PrXe(Oj9|&-p=+M=<01c|<(l zu>{!`g8MER**!1*<)M`M=D?UoHMdGv8ba(6lFc1QrZm^9ed;dq2i?8Z=Vg5Rzj7cKNf1zPN%WoE{ z0>BFtSHCNJG=~Fbs?v|k1u)zB(<5~G_~L0%c@s-R8clGdc=mxzB6a(wh=E}oF}|jU zXkcstXx{F3xH(q02P%>=)O6daBlAA-1W3jhgeuXtPn|=}ds0`2$K&PGZuqOCmt}f# z;G6*aHk9`9@DGI$6D=8`#s$T)crMOg_qF;<7`n+;+3_3MMbi~2E;rSE&5NRl;``_h zWd`SXI}dQr87n%B^8&5}ut~Mjh5HyXpE{s#P?-I$4gixr;Ji} z8k-QaX8h}ce0(gL`k^}n+(e$;{odSHTd`rCMeO#JR9}|rcQ^m$R2+77X^+trBdY{_ zn!4@4hlY=<+ZeP{&fwirn)_f(cB`wMYVHK<@hB=Qoj)E1tlefl!DhTKwVk>5gKRH= zT_{jTdDa1CX^z|xTM{J~0lm6)eD=Lw6T+$wAC>hkW~J=zu6c+rJ}cn+HHSk%8>Zl@U2(LxTL(Ix>iQg~E6MV-3dKLUYgQDT zo{=7=%hmqVVur?pK)o|XkQcKxS22nlz|4@s3a{jYJP~@gyDjBdlBZcL1Lz{a?z^wb zcF1{(PY0P`kHHrK6jqh?xMZ*IT`+{orQ-64jg}eddza6r zzJy}4+rBnDlI4ka*M%H+c6}^Fd_nWRoxiV-F5VuxXb0eK`TfPG()-ot_yVO~44-_3 zP2`aL8UFgC*$^=Hr)Ja_etx5czyRp~zUp-Y3kjcFzCNa0Z)q(xh&7k7*I`VO`M7_N z=MxxGs7HJ{9ov~1Znf`Sgu3Z4|1+{#&GZJE=H6>)s>WLH-UVR1pJ3-?O4$1$)A!;7 zXKDzv<~1JJM&*4&&a13=okL2y=Z?9YE$dSbX{4yiJu3YPp9st8Nd}P9%NhK1;K^bS zd?jwmFwUa3&K?L}D0`d8J7vY`gHG#_wd&beK)Qe z!T{bWTw(YtTCF{co_6(N=z_H${8d2<{LD~3>TaTP6ivwd)}@B)aQP;FDkg7zZ}kd ze?Q<{LH|^-L~&kgI0L}Cg!^xnw+54wl1_sFQ$Vc0b)V|(u(A7G=I#4EY2Yo75zYdg z^$_2SU(Wo20~`NLHNf@U|L{J|WhzmK07kXpz=AUQ1&=4qLam9lhXE(f-AcGW%C;cPN3 z{a2^#O3-%c{py`xP@Fn{m~FVxaaL#_I8$I~<}zuac1Y|YZonRwL)_ZS@v3if8Np#$ zvy~7#45gh-=>>rBf@jPDE65HWpk!-*}YyOxy!6cxx_He4d|=3-Q8X4SrXa zfTQvXfhY6lOJE}B++=`<$aP}SM*uZ$zfjx<*drUxPM~rJB{2mD-wU2s*sosm0(Uy_ z)Gkp@9L^Z!f3q-}5iBFrOeVnp)1YRv`$ZzjnCuQbL-Wu*W<~Yt6;>RFAlu0!Xr{w_ z51@{{PqPZtJGG&{w0#Zk;BOyx-(JdnGx3yoq9<1xPfL)b61}3R0rs4^09+kWFC?=6 z`qGLu{G2TNS!w40TLYk400;ky4dXJv$-5&sZ@cI$pX>4tqrU>I1M0nN%XcX`-sv)#=3~rtaTI{kHee6MXl3UtEIV=*l$=iTk1x zoW1W|Iv6*H;_-06v)}+U&!I&b)kb`4KKK3J{&0fk=kkT9^qS`065vB`0bm*x&XiN3 zhJTcF&h*HXShkwD>@txFXEw)os1f%tzfb?^uy7_GXGdvz2=vWwQPrCbcYk{M!U4;4*na>HpA92O=c^St0&*hzJR>jFX>cn~` zS*`%E)oDp0ws+;Bhvr!s&qYL2*h+uUujNc12=I3RAEY?$c$?P*Iygh66>Q=L`6tWqDKmMQc-fY)#Ey)smudi_220A0bh~zvaIvb!UkrGLf6lbxj5a1|M zoM(}R`uE;j?l*=Us;jFX`k@_}aou%vIPAe}E!$?xIOHA8!MNWzQ##g@b+hOsPZuf< zQJB}Wz3%6W9cVT2?QwDfhP&!8sD-Txm0qa;ACwQUE`>8Z)26cZ(ZT$ghDFO#eLu0F zX*_Kv*Z}ry_rAGpfas&21(+6I2KyyVVE!i5Z~^8{w=NGx#b+Nyr`#l|1YKDqGvC`S zfc5$b2XGCSbFNi+by)!0-&N;a&PJ$j(2?;(dIK2BC*Z)+P9@?M{QyHVMf%||OIThdareJJ}g{u96dF_h~^IW+gQLC`p{&MalIt(i| z-#ls-yxJ3mIfmcfk-&Odl_v;FXWp>-4a~$UHj9f^ES?VbhC{0QMd1*{{y*L;Pxt zG>+aftqog(G*m{ABo#RTiE^exT1%j}fktz_f6rmv2h8bzN1SP{g@CiFvJ0DZ+H}CJ zVII5LJ}#n=O3&?9X~+D+VtqKlT8^8I&1ZNnG|A@m4Eqv&mNEc#k6vx>+hX(ne!v_p z)=BYUjXB-`>z@6_1uQI;wxrd>pI9NBeUb=(<&$1_=IqW!>u@)n^?aEKE! zN^h4CpkX|#pB7-iV5L|$@;u;T1&reB0qX=TWA(>Sc5BuCkTl>NfCsQOiQ@+Vi>f{n zVCnUvI;{#b5^Q!FYYczUzE*A%l*0y2ycD4J&c=_Czw*+hmqJYX)nA|jWFc+ndHqxo zF=?=nY|#dWTEW62-r1_PND1uev$_I%3bqBy++i+8n63-8s3Pnc2j>LpokZl0h7%TL z*PfwZt-@z8pD?Cz03N**ky^->Ghs~e5L~eVkVzCeTNw~?l-?G-ahaun1z9zkc66EsPA@A2k1W9BKR-Bfa^qRmGkY%28B@`xUT>kmOCSQW?&wp3VD`3uO!r~?|_lm zU(a3vHbxM%l3AL5`j0e$PC=L4dW}&&7%enM)?O#Hk2C{dn~m!=u_`{IsP7!&_(Z(o z*EJ*NnP*G5ex#8WE?N;HX=qo_6i!Hg{EU~i$wQ#j3F%K%teq@5KJ6k-*-Q>>K_AUs;Z1 zao)QLd5*Geba_zRbG`>LfSivKikb1st^U1-gZRo1m!R{0vmQ3g=ZhBPma+LtpwrZ~ zx6}QtJ6l(91xw=P6ZV$-O!3eDL*KrWZhHNYoB6(BiDBKKT@#@039Rqyy@PbzUVRP5 z8!%F^GErf>pQf3ZSg?I&_DMj^=7n}v+a#NH(lO%yHYbCg)p2k&u zJJa*=kbx^zv=F=-3(rnlIeH1-wtSl?Oz#>aS>tc=eS|$-FymCYAZD`t5dl>6Aza3U!WdwKr_^ z_P7nVRE>{Lcc5aB1!L@SFa!TN0+zP47%R!|Q+YaDuv*S&oZz%4lL~tUetTx~xx5DP zB9AP~h)r&^7YS;D5$wDx-#nSR0qe8~Mw(fA%Luj94afDgW%)Wz0OGpVBRSt}NdS9M z;J`o&l#txS>j!5pU@LeFOFh6EjQC$Yip7q%MQdXena??{H}y@t2$xc7J?x=3X!cGS zo+Huve3C^-3>>n8&>P_Bnxi)7wvN_iMl^mH0Rd2M5R$x&qL@ zTCit7toOO?-5{=Jdtj;U7AnAbP$W(jzxy(OP~f%hK5iPTQSRsK3GDT4(!7Ps&@5=q z=R&9=6D^*3u8Yq*;83=KVr>Ln%1bR6D%|^Hcd^g?6n$cSL&&%%F90%(uqS4i9X6!M z)r>p)qyaC`C-}?q)RXDC2;3 z1gr(*W9cVV;Khx~bbBu{g? z3hXk);b0EPOuS*gqx=nX#}h!;!CC-Z>me!R{21EyfWZx5#@BDGe%&O%A4;wn)h6_V z`eS!xdq?}{6lnYHbrVkCp3pG&1=G?sphztORP+qsLpc;3W_#zx)sai3yZT!&O zCJ0b#>;wBbP@hDyE}nFBr19oC>m_ zWVkbl0cPe1#{y!@K{DEN2e@R?K`cLb-)2t!nG`lW^0d!^@oH~2h0U|!I;N#1^yP5 zD_g%N_2##Lf4K^P+_z3%EV&4iwQNHa_V#%!WV(L!=-?q#UGmx6130*^VK1>kc>_Lm z9$>Gt0Vc7G@eK9$KCtgGYT451;frTzX1@I13wS(A4fcb1%EAkBdo22dcVG#v zsAX>_$Wg;aRn_ukRjPe~67Hw%u7wNv=tgy)Co=9lh?8_O3@zz#XJGP8*7oHC%yHwy zIdEB7PG8?#dGV!A6hGk&7=&n;b^!g7R}e=5#P@SU#?Ki+a_=Jn&T}t{MjhnhRlHO% zNR4QsEG4jDHN(96Eo0IJA7Fn-@ZMnj#R1|?`HVBVs=hl$a@7I+e+%flEZ=44E(3at z-7kRmD3-Y;lHi|;$2uNOT5@X?%pbOsU-$M}TJrIngbRx1w(}`8*}B*O$bn}uUK_uC zys_TsZ*MpuF|L<0tjpE|U|J;quHLf8B8$8N@iy2A{N>a|WpS(fd%(il!0#I0Kj~69 zK0ZHX)v?jP(_+0dkDF%H-lZG&bmvvnQ#jL|$tEY^_!O{*9PF*0UZ1^nvhI<%YLe`J zF&cfnv}etQwi0Tq_^|~W{QUf$Es!?y;sA$)J!QT2%%fK**)`#`s>18CV zyLQ~0x2wUvwuUzl@vY_o4?6ABs1l-Uxt83rJ79a?Uc!czqO}y<&0`{M5 zsgQBLI#Cb+M$N1{V!oNqAN^r+rxIxa|N79a%aUl4?|gXZ=jJX`XZv0iyv8TPBeJHj z4zBFEx=ce?&f*(5H-%0eHN@2ZF)JSaxZk=5{d^9#JJM3 zvy2FqH4iHOO7Zkvo>873@-;ybBqrI>K$*OdF0I+EGYoJcD;NrfguN9z_-{I)_|6T2 z_M|-@=hp~;^HsngWdht_7!;$SX_|GKv-H+fN)_&aOv#p%+@y$TppnjSsN1AI?X^IIj@+!M}Q1si4vSY}FZaGzy~&ruw->#V0Z z%d)s%Z>~^H-+KkH|MHN(sq6%JdG!f`!1v6R#9ZEo{n&=-C0qaxS=G#4{nPy<$_Frj zhDo;X_c?9nbR=P1Yam$!#clT_p3kR7^hM6W&YSOC-vz<&b3dk;b`evYq9~G~72WhS zoJphay9n(avu_?V0so%FbGbdEKAsuM*S!An*g66DB?ZQUFb44Cp)&xc?%)}nu090+ z9`yv8*q4uynvG-wVi}fTO@*IQu7YgbaW4oW55Q*Jlkm^>N<2?+PemxcgtdH-56Zt3 z^4lM!dN)p+DsIcMl$-EK_P+68J+wrd$hDx{-f-p^_>J|ru4vN`2yCD{mB5|7KQ6%Z z3I^k-u-SxF10LW8+1=`G;ktS9V-QCAg-3ME@Cz|Q_-K2;PZnNh3-Z=V_oL6^dlQ-@ zk0n{=T0F8kR>UB@GOnpseV;8d+D8{{)QdX561N)E8X!;0^_07FwF8`Ieff-{E1{Ou z>cAM34sbLq;-DyGaPKle4^Lq`DU~Wb#(QtASW@`)YHoGk)AC-_UndRA8Vdx1B{hOhRvIrrV-yf z9Nz=qE#fw*&C$$J<_+V>Oy0IFo<@G(0Vm!K_KQPN?Tm0w9$hpXy!ULouRbT8C4aha zmhap5voUzDjvv|5)HQ8qEqEz_c~&T}Q24NiM2*{z(?e+<-Ra!zwShj@mSACRM^B57 zi$>CPKSjn>d_jBgP^2WT2C2AN9Xw~2-!n0uZ^wQ2mHF{}xF*Z6n@zr5s28`cORyQA0P12>&s=iB?SUmsN@aTd4uTI>OgsMMkF_b_(g^~qVddwb?${qAkfGa(`! zu34M~xUPcd<`1uqe4m=m<4N%7l>Q_-3H2VlWlPV#R6g65Wg@s=g_{WW>*+0g>JcE2 zHV-J{PTyV?lh$p^k#Sf!TXy=0JG# zLliLlv)CQr<(>v?b(W$lu*0~&1m||m?nq{ae$pC;PrZbZFvzB!JR4AN4?$OVu#X4x zsGyF{etKb15B-tsHQ}s+#dCrp^|w?8Hioh5KB|F3kD-=|a}^k1$2l}^Jw-4CtfpsM zwW~f`53r})NbbiqGfep%dr<3>lpf(zbtKCNgB{Jn3q`M8Wa`v&xZ&x;9k%0)K@ClY zyIimIqk_GZY?zAVDK}ebm%H#3TFjOoZ{hVI+W?MN{|;xOc|+W#mfdJ0YXE!-f#Z0e zN`RgpnJ*o!z9);d8A6vj7_Ns27M#FNv#zE_^$$0}uEro1$MUWNo?{ z9%uE!g1S3+vWNHGQ}lk;eXkDTbyrxPm1zV(+#`|Ulb?Nh*lY-cJ%V;WBpCnDoI!Y8 zeE9AKcy}M#aU8~9KNylruh}1+NAvbZTs^<|^8?bbh5W2Xi=v!`1Hbch0bsH0*6G2R z0(?-f*=*`9Kx_Wxa79rTNU|;8YHfEN%q^h_SpqcB>YgGcQm{+iquN6~g*}dm6+E>2 zUH4izTSf0*;K?)`>L9j#9fNEiaMb^G^i`Z8vuO}qupN`NCt?d*aTH^*{QS9(0=b1>c5)%Uyj)U=3`SuB59YL`H%jkO2CCHUK^#fs1TTFE5dLCkxAx zB+sX*>Qt-``(37HTi47Crg@~V6|dT@5+@Hqd=UKr3`Y#HWpQSw#-cIY5gTJ?NBYXh8_1MR}P0MrYx555~n zdy=mJZyw;CrPBxo&mvKl&>4XDUgCPg?x#cv3;8;hrJZ9C586FE+gaM4rkS#C8$kf* zIEZs@PbOTbp95xG&o!8Zj)3Pzjqa~LbH8aCYcq;)+HB|4l>Ui3C}BnN<2Ya*%dRWU z`$JC!&GVA1soPD!k1|%mJwxcmsTjB~a9`(ftYUzlYrC&KKvvTLEXa{5Fc&14u>tT$i@+iu(`_w9&Z}Eb8+{?lRcEeIGENm7% z1AK84%fZcnDwUwm3ACkr8+UE-;t^hQ-=|aS@0p{<# z$pi4KGk|qb57QHnC)5L*9jMoq24Ih(hu$9FzGSHhIll*cIp#r8e31RIZ9*w*Qg?m# zOjZLf!tnUO=OcRF5)~|NxBJ?>ubtLYH@QZyr}Y9xynMhGzFY^Z&cT2I-nBB|{-Hu@ zV%6_4<_YVGhUd#TS6Vk<&r|TF8K+s+2|_lAv;mAEi2q02k=7`X44w* z=0gyey6#26>2b>Fz;dGHEWDn+K?cBN_|$yrPU!vdIYUk5`9uSEDJdB2L5})>Pwv1) z--P5u?Z8fp`~tQBTT%wpQ+HR`r!8QBS4cB}*S@~+M761|4^Dm1ZMmOcCq#t@ee?}5 z3*~}lGk}LT;OzyeQZIs}*l8PKj)E~AjF;LKaBDrl-O;v)4`HIf^MdJ9r@5X0NeDyU zhdCJ1C-FkKK7`vTU(9z|(g1g;`>hlJ&(Y5U)82&btQZ>kFd#SLmrv+~)ow*#s3E2w zLco14V4GVL%(d`gXqn7?7XwrzEJ06%j-56Mdqz?v3+ z`au275Y`JYNcn`y1?eMH8;Kej3hh_efL=uH~Ru;BhMqS*&Xv`ArV7Sui@|R z2lEm6L^z+Z(k@-dk18n!gq+;>-gx>k&=#(R_Y*EWplJ0K` zi^3;+oM2APM6$?+k)$f*`C5GQPbLD)VQ96GN-8Glbkf$uQ}c4xlbd{GLjn!8^q~=*$J%K$Vif8;*>jvQ!U-fyHD0AgkDIPAfDwkXa&gN+_)H)lJ)&dOX!S1;X)9^m|s1+n8S zv#9|VIflVrAI%WN3juqj53m<9w%AY?Vgwj$aUZcxu6xX%E;3<19bqn5fA*eZ2?e6&hI z%dr>j-rLdkv-W%O?!hX3z+8YA?AyOL49QT_x;7_A7EY&wuO`a7lRA-B;ia^rIhs_r zWuU)KVT=?8BQjr)Qn@T_hT|^EOlsw4zZ!|z;!y*f9}-Z4L*A&~%<~kyxu;ldv^OT~ zW2+t%64c;%=o;r?i#6it!9iGQPH_F11a*)A#1v za}y!j=cLN5jb#rTYpi#%^|^P<#1i|Tk?ppPLp`X!0GO#U1h8&rtS}C7Q-AOP#um5J z10XU7mAu~mAjwEbXOjCoWUC69d8em?1^ZM_llw&ilQT6inEN|UB=_bgu7$Wb)M1kh zjR)kq19pMh?{96-!A2sMs1`fc*Ao5$|{lWInRmW>RfbE_Z$cxn7g^H2|1=W&zh}w%+>Q%tzrCe85cy1OO z?4jf+z^wI6*)itvp0m-z`1a@z3!Z6n9fqbx`GEV!Fb7~Z{s{e# zVRKI~#jJkL)?oFP)*E9w(SSK6;w-^?I~&YpP(-L$S_2#`y^99$lzX+@!Q7p= z!W4za=bkG0&It4;O?FTIOydbqUG)rc#n?2uKF%fQcc`FK*iHBQ%;Zu;!(M{{l<`Gsgc zk5tRZO!HbxIBxd`wgg%oknD`t6W?&b1`9jue22DRvsF7ZDlRjC0p{^y9*{hqC%s+} zl%383uZ>&a= zuD(>~rjFTz?Ypk_r5l1qp-6t1hBFHc=BYEtr4TH=IiF9+<_f}n(9xSEa0!pvy=)yF zLf$JKEIOPlyGC)nPtwBHX->XM;9Z1h5NjJ<4$+>WTt}2dcRB1nPwE+{FC_`tRKu7k zbh$olg1p;bYRReq2e&V-Ppsxx+i-WvlmL+c7!t z6X5u&yae$y+;;u^T}KdOXBzyy*UM}#k0ldUY`)iE?h~1mJ?Wz5=PscaLg0`n%#SW% zhjxYeI$vx9?%yy8teNl7^`PZN)qK8!p|e-j7hU{{-@~VdCl(&m!|D!LfAnxJj0trK z0I&!&(@w5}F1o_J)pze2O;{RDOk5StJnKVUJWzvJ(R;0g6}z+6sPH(^pmhu8%YJN# zr{SM({4e6O#UBAD0`6fL9<@zJokMd-=uDv?h(beF<%9S8Cqsu`$TqkE_z~~V{*irc zbL-3`4)cyauqpSIxB#pp4wwEEmlkO=c)X)})3|a^X=7>Rh}n7r`f{0y*6sw#+b(LD zD2kH_v9n;ZVsUPZL@f@QV;M-Z1_nGAF@AfEV}q}i2&W3dS(x}e?VePoTd6hTz?hv^ zLh}$L&~RXIBfuwfcfgZX^P1f{rAczTjtY3T`c^iQA)J;tKXku*pd`R@*NVI6*W~_8 z&+@z3dDHLq@#al4zTn9D^!m7=9JOHVZ9Gm_AF-3OAe^Wso(}Ii0OngO6`)P=K=_(B z514v7HE+O$D&Vhhj1?YdL3QGDle#-<6|p?&>bcA42lk1Yu|*#4=T6zg9cL&!#BTJ) zH*+N{2;2Ap8cDF_o{Iz+yo~lKH|uS1;W`DW907#S=Ld%P!4)@jdAX=!23E;Sr1rU* zp1=xcnE0Cbr6%;!{;=i#;tty1FG0#P00z?1lY8EAq;*(q7;adjz6Yj=QgaV*43LZS z=4GtmszKdTu69mw97pa}?%4Ap8`+vzX6)xf?Ep1=_*t0CwLS0E|;h$nzw1-eEP8t z+c0=WmJ&61f8i?Hd_8i8! z>E6v7y&f=6g$qdKrpN72?I_}x?fx(Np>gw{%lr6ff+5L)OXV-eOeKl-&l+{cXZ<254h$HY+@M!BXoo+v*RCgf7d*MjVR)x zVD7C;0mdt3fIZDir6D-N(}F?1RE~14VRP8w%03ym)?YTYb1kQe&&HaiwTS_*bKX43 zXM-5wa`=6w69qXvN?iqtzYAx6??#65(RZ~wyjsLZOCsKsfX5O~v<~nG@6I!8dCo+g zY#Xb4_cc7@^(}Oak7-=_*dzf-Wmjkq$f8=^2WC+tKc8Y!#YbyRvb3u2p0PCQ12}V6 zF@zyJPQuM>IS#<;vBp?52Y#I$mt|Qoyk1A?M9$`hc5MlfE$z zO?q2|*Mvh4lbOD8-|Yr#Y&G|Dt7@7_tlKuEb5&Hp;dBPTL<0GFex99&$EV_f0~`v^ zN?l+x0iE$o$GE>H-xl?&G*cnnxj}zRvU`zNn%wJ!zR&MQFHJK+zI#@z2DR#f;3}So zF`U8f)g)vP#hrP0=i(d$VTk2*&(x3p=E{-&obG^WWZ~JkcPpcutsSr|$YF{H0BQ0z zndi}_u8C9wR81quQnkQIhtq6-psyJ#DQeo*)5=&rOT1!dPvh=sh^u(45}Z%M_{2^f zAYiiLi}#p(-^Js}B?iRLmMRyW?HlS&p*De{404- zcr;r#c-EAx^C)SqFFk-kkZZtEfvp&>0JqQg1N?c5R?i!6E1Gv|O6R=T!1`6#6B|r7 zd8|jF-}1h+4lWsi+as@IuAR>Z*C}QAt($OB!0+>brfGDfx@iRq;{|cpiWWmLjWBEi zWv36h{`NJr`b*=4SG`7vi||st&Mq&Var${?Uax^^I^j^CTZ3R(hA9_-UuM79xE!xx zUPk~hd@>sEF+wO8E=!kEr%-)QtWVwLb9x&`b}Ji>Xdv!&9`OA8L;`9l)TdcjAGQP@ zL-f$x2tRLoZOO)vQP`{y#eqF=J}@U{pM5s>LmE)XH{jrHNs8b`FIl6aE{g8HA(Jgh z20wFQNU~iRXc1Ovf_W=*bmDI{7o83&q7-W zh@YWqd}f#?IU*nUocHnM0Zt2Z7h#>9zrmcQkL*6?1b{s5Qepi`u&)n%V7`eUe5aF$Fz%_?R}T}Up>K30_cpI zDgu_K^I=yB@`SM)t$dN|GXFRwq>W=UMmcs?2JsPie2q)-_duHe*h*DTxCRj&a|q=3z$H#$KTr|GYlm&UD+!>^xq^aWB*on;jqQzu5=I8jfAlH_Gcd^A8D*htozZfA2>2-2?{R z+Zqde&+DnngPpXe{cE$~8HQ@|3ey*FR^Uj#e4oOhDp$6)>LzRa1)DVPA{8 z>2w{14lviE-<`g+vkbdU>pGN=i^(1*K@{zWKZ@Hqp`X*buWZ7Z;$B3<{VnXjd>56v z-Q;Vr#qfSFEyPl&5Y`F&Zm18_EMahQiCS>|B?H%|AH9oeh}p#VM!N+9uy;PbtB=d+ zW;-%ib#_P;N-svd@*v~iy4&#fD9@?qsiwA&Qw##rx zA9yRni27kZya4tw^3HjdsV2b7hPldjNyb$GpfZFT3v?wbPEA_ef5CNr=ndNT0Q)*+ zhnP4G=C=oyOf6;U1R(HD)ec9vZ%9{~Vs+ecD5-ZW!u3eUvvuMfb1$M(_zb|-LekWQ5Cge^`ysid=d2CRYY8X&d8 z+b(W;eTBtw+U!;k47h#;PGH8j4I`y<16Y_VY|l342|;nd&SL`c>G3P@ksWe4d+@Z% z=q}5mQW24IsTo?4uKKmzL%mXiisg2Gz};~sj-HIex0!PYn}!i*0{cmC;j4bF7arMk zbaxROYTj#8AbtGSY~KV-PW6BCs}GoF?OHJx;id^xvjc28UB{%zKAQQ~cZ57@GaK6T z0!R)_{#=%?qv^r>Hw_rmZ26dSJtp|0zH>0@bcR|n?(r*6g=LKv?!Pm@jMsZ)kkO=# zEcG04SazzzBca6EVCsY@60^G534Jx5-a2TawJ;wyGF9^vq=5~)3VF?84LrJzWA8*& zZ+^!6@fx*+o1vm}e%K_iro8r1z`*J~iJwRU^ka?=W3Vy;cgq04e<>`ZQVt23^Q_83Fub zVE%zWeyAj7ucr-*6lH}W|29E#11}!hOrD5~JGURU{pKtWA;o7*5A(Gcm}|I`d-l0F z2UC+XQTnF1Ri7EJknHWCTu!on@^A!6fc^Uby9mHoRinqyF4VZH6+qb`Y@u`7ywi<( zY1QL?pc&B($fFX_8&QK{cNC26_HtSA+ZNubF2&gT2pPZbvw%O837+bE8@PKnZ|u=y z`~A3k*AKG7GewDQj&_*E2NMLr+YGX@XoA40>668iQr1$hyO0a_P#xb?(n6d7`SysS z3ySgvz@bcEex4(s8tlusH{n@wlWiAJ;VGbM&ZAkFp7ZO@QH%MuKbs>Jaf6Lkj%d+S zz8Yk0-25pyQYQ;!nImu^-Ejf?^w?}VFl}c9W*e=?g32VQLlHh3rQBOGBY|Bx1-S~i zqISmC*5SPN;&Q@fwm0{Fl|0mN6ph63dW!CieFLsz$JNxlvaoJoQqK=;=E+6_cPnm* zm*e+Yf-yFfkb0NvLKxroLI5*8`)$3*G?}J3TQx<2F>SA%5I8SL7T^0%m`D`(iO-gD zu#!zA7;pYbdz1omhN8K{@=feLcV=iS=<#|^bB;Xbqg-4hPgwdELayTAI+tJ4?|CNF zHu>5_64>!H^AQL0Yvt7`ww(;f^>NFZqM$$M+ItQM>^wRx-udDoT!Z^GlXa?Edn(f6 zIOC-YcLcK2yV(k`{9(ajE(M^);(FR(?Vb@qC! zvSB+(`$>VlyS}MRCX+?GK2a(mVNQe-ZWNX*-c|$v_B$NivR#mMqunVcx^CI<}4DsLS{p!SU%Bm^k}t#(ue- z!Se;fr%}Pwvbk8HfCqG#r`NI^T^UurUgvMGlC@!0l6W`8cmm%A`t~QBUe_1?+xh84Kbt9|PRpF!T-$Xd2_GUX;8_yN5#?&K!C#%uN>3@X#Il zxuga&lsm)Nnm6F71{NonCF|}>L%eb3i8IlYzIYjetO@Y=`_|=_poFdSap(BWwZ&aU zx7uR5N9pMGY6ISiAiKC|&m~$!M7pQ_#MCaZRAPx@@0*JxHHut9q#CSIF^LMekZ5G} z)=YtAn&^7awR>}s5aD$~DKFKB)Nwu4Z~J{wk@$6rlFFvJXKDn>;zaMVS8Z3)1;QTt zz-_2~*v0-`D~^32tAW^yxL-VyF4Z^018=)!fL(GWx*G21dd)wW*M#8RRPKoeb)vjS zudUB<_Z*l+%eD;(VzA$Zn}BNo$c4UFN6F%A=>QDMR7J3t*!S-%!Op}us@r7d$F`y4 zzV8Sga$Kg^FwN{zJghX&HGu82z6#TJ6K?4_TR5KPvS4nDntO7sjdZUlj4BD=kda-h z@wHmr<%&?WY+;kF(3P6O+#=!b77y&Yhb_e@S?xD@)jvGNU#pa40~IM&O+7q83bDf* z8#3#bw@TC%;A3;R%x4Bg@7q&g!oZ%yS4} zTxqsZz`Ish(&>BdZo;6Wx8E_mse|k_BdctN4?rB~8)FyazyX{!WTJ7O*=Q*$filsX ztB713@`i16Mf4=9yV7dc+R=4J>0Klp6CwHHxO2~kjQ(-*EBl_aauVjUoAHu;e zL4&f18mE6p=7AH09rP)-aJ!73 z2-~b3KnSerJtQzk5%^ZG<#@fY;|utL=7kC4s^fu^+1vWg-8Z)0AzRv}o;>=s$Og*S95qG|RTnuo_oX!bvX% zk^~XEL@z2jUMJx`p0T%Izoeb^kdWc+o(^t_G4=oowM*&6`69F=MLj~C$<>OPBYe*; z)QryeSUu=%+rF`bm1VfFG#AX+slMDk z;jMV*)4|8nmLSJ*U5o|zq}1fC#|^BJ@(E?+;;K;S$w$qWP>%|+c@x-q zU?5Zmb#D~Mbujnkg$bN^!TL-%uvtmugCFWsvn4A@)1L;9c|K179mlfk*+Rkk2Fz!6 zC@>PIoW2aQ+LyUvG{?a|M}3TVs5Lhr%&vY~+)Z2~#C(P^HlZz97IXoCrdR@+i-8~ue;1z5!%#j!7nRM(uG_Oh= zIL?90c;BOXeW|S&%7#y)r2cp ztDKErY1Pqe)HJ!&Dbm9`S#GLLL||g5sgpK0Soj6C4f;0NrSg6Ef_b{8NcDSsL|%K= zkDC(kPby1uKs0;6b?q-Vv_g(o-4a(?Y+w{H@T9(S_(0(TAJE>XQhdl4rNpagL?sGG zt{;atsdD(jqxIZ-m96zL)+{#nO5U(+c00|0pULm5z#d}HwR$UuM(r|*tt430E7oq~ z>NT9&gQW$0{^q~RwP}NA7Fblm@==TXWLjk4@5;#WtLBj2WeVO&;L0bMPw&#JdDFJq zd|rbw2Hqzf_tyuDKc#~CLw}20&wQ!Rg^on~C`GVv@*CE2wW&8%H|Nx3Sr%EF)B7lUVy4d@ z&o&tE!>EMycnX4cvi;m};MtqyhAPD+EUvAjK#uF`=HBE3hV0OM^V%fA6ckdUuJ1!# zx3OKejnhUP-Ec37an;i#!mC1~j3R)PdjP#dEsI^QVEH3F*Y@g=S2M7|zOH=bz2nao zp6@I)VD(rd-T8;E(}!1y@>##;OQ6@24iBE(9=JN$h7L(ER;#`#SK4DFf<^Ns7M+DU z(Xo6Wmg5AY)VyJTKY)s8_niYjZ+vxMVXdv5MbYUs`I640eG}^RCq^`*A42IGYpl^J z8?fy{7;v=irne`+2ZM{O@jOs4uKM!S+Iax<#rG`DBgm8g@K{)`+Xbw6&#`N&7N?^L z)b@=e%cj)hR}UBFBY*R`4dd#}17M%hvWTLH-gy1ETBN2?sCcfDOYupfAn?u8-#^bO z3_|J_)RDYTqvm#4V*bQ2+vEsSpw-}=YfLlKG?kwtcM^n7q~{`&mHf;j7Qm)Ge0SKQ zN7N=oBN(6F1BqW)@CU7vr$W!o7^}~wZ4;kq5E`# zN`Xv@3&6iwE|O;{j*&!0pS~uZo`NfGV)C3W&toMlu>V31fMN{Ac+pJSkc5aHmVH z3~A&uh>37g^w)9HPKZLCx4flo=XQ7!u)BzreCyR7qDnQpFPc*6xMF|4n-2=Cv2lJs z{S$`f^==c-ZE%>A>L?Dup08(2-)Xu>*z}WS)<{=nV74m95y$u3g4q%T!0=$~`+R)8 zHgtdYZfjz#5!ywYe6FMdZAio;to6rXe9@+%j^w+TyU4xcirtI))h_s8K_hy$U_e`(=B9O&HdsihMp09~ zj^n!&VX;}#&u1Ip=kua8I7^-1 z1wmRWnA??kye-mu)knO~XJlH3e$W@iykMqQ@A$V5--@>ZHC@*$m@iSp0K|}j;^gS2 z3I*k&)XbR?_5|j+`{l~a^1I;k5n0>-aH3kdmc$vJ&)ihNm;~;=-kht0WPjJqCbb^qkIt8f!bOtD2Au@)`-pevW1jh18#tO^)ix=OH~Y-4=<>=lox zekWsc(DRf3o~5`!tLzn@heYLm^GaBTR_-Q;5Dd+c5wxE#Q+e?RP8Eq>1j}WV)v_vg zd#*=IO^^_)?q;EqK^=Ypgf4s0-VHzH$?{5of7okUIrdR~kg0ioJ!*eqOyXy3+z<>H z_k%4MX^f-I{nWETV+Q55R~9l3DdrdlwsgY%nWNuaBEi|0#QlV-v62A^Fnm$I@Hx_; z-TmhLEJ6w{3A3DhI_IZZbwgXi>RdVj^l{VP?4nH!pi}f*!O*ZEzK5XQK1#I%bUa(8 zyD~kUvWCMjoB~r=B*DgeTl~PY%5`0BUNNghsgB-eY)L&o8iQXSWiv78mFhQ`KM@~` z+dg>hT=gu<(9-DTA~O{(UBCeQRk()Lc%pu--4)PXU}(=wtte`Ei|EfBENo0l0OXd= zB_LTREL%1S`+KA}*2e+sf|BqiZ3PPM&y>axMhdSwUEsN=-rx)NURPFsrYY{Q3@aTJx%DPig9UaHh~Uaz z=R>7JA>yaF46^iCXDpz1QO$ z0RJPrx+}ci)~Ig7Fbv(+VM{X-f0fFPG3u++_n79m2h3rh8sdDvOjoKMNDNtKRu4YZ ziSSxMdZ&g*HbVVnLzWG_m~2C8B>Im6bI#TT0!ir8PR;GNtV>XUVLX~ z;9HVAt7#}wo<7LEVyyt{0Nt%#stO#-e&Ha$xv;_1fxEWJVQrL9rV;kyRiswzIO6yR zFTWji<={En{fx138tcAtdEWsg*SRXUnZB`YtAja3PZ@x~t~QQ2&QX+oDj3DZx2j>R zKzWk7&ONvOO0tLCws3ALh33=VSQdtv&xY~n#i{PyVrXRUE)=%J}AC#k5k70aJW`ugL8Sq^03xXup?NH!rTB(sI6hB@aBee zsPiV*{Ujaf9NenB8#B7SIlzSF9N_uwS%G;r>3y2#{YB_?9M21WFmYv?qNvNZnP$xj zb1kdWaKM}_0me-(^81^k@vS`t=(4ucG+&s<%~RK4tzx&==#1er8epB5iInQYZ(&YN zKzz^nVUfcKd&R)I#cro~^T5*#U^c4Y$n!ON!d#D6mP-sWdrW+ZC)tJSmKNVb6E3o=ruPtQibm`1-lw-3Sc%nW-Y zGq9%nTO5s7Grf+o_KFQCDkq#!s1@|-HgM_6QL54gwq(tTRjtJa>gM=0jV44`f-!Oh z?vh}=CzhkPkOQpgdG{N2JHa!N9`-KReKzq0<|+rY(bCVxQBDIMXn904sQm%YcoWcU z5l<)75yhRqRYRyZOnkkPd;)7DVN7RYB0AD4miye{UcZrf`slv-6b00U8DOm%fV#<$ zyl=axkU3N5`hhE}_yF=e`0E0spW5@=v-n>06<#8OW`ZDFk(F4vE&GUVw*)&+` zag<)oQ2r)nmXD$e!5%cvY{pzQ9%FQ&@FF_#v#%bKdT(=uLu@i!BoV+~ zSujiEdEe|UFEcZfgMg$hC~>3Q+qazbP4#(Bx6Az`T=(;YHzI+ik6l%y5_JIAL~GPz z$han?g37gTjb_{IH{U;|$32I+{3e%~S00`=6D`RhG2c627btSkYcOF!KrtQsR>L6( z!!B#!`)B|R1K-8Zi+9I$o2xjI-<jN`g*4*-7&r23NtSLUnZBUXf{9s6D`4AdE=1A$6)K=Aga0mRH8=goV6 zNEpQGu0^Y+pN-2T@iWC&h8dRC)AYu1iSSHf59@b=fx@^8;9XLCE?$JA+_2}}Ro2y% zWmfR~!*rUlEpVoNuQS-=+&QgO9ob;s>Q8MeFch^9`enyjU zoH5xj%_wZ!ww9~aUUL-J;MuWuwI%0J$WJtf?$I;276g+%hvc^|BPkzvyV5j|dSEJA z6IL?k^4pq6c%~IW>K;n(h))T&-|(m^Q1p6TQam|4gN#`Db{9-xHOHmF4R`_-Y}Dl{ zfk~~e&*fH1VDAhBmSm>X_hF<3r2lLqaAgHbYvu6nwrD}C6Wd9Z@Wuu-VLu7h0dH8CyxRUO8^- zOXgj{*t=7|fM0A?{qSSw8&~;UU@K`|=XtmFH2?Z6m3yvR_H#*fV(UK1(~nDFmr^B7 z0k`Fa7Hx_b;7sS7)0@z3Ts)pP3dTBUlbi@PH<@1H4p?VS1{`9_97*#GQ#Jr|tG4|7 zG)H+bQwlb&XSC9bcFSjLcdlt8=A{l$`5=dvZ;CzVcp3m=Cez!!(3oW+4oR< z?=I5#T1|ZQJtL&Gd*4MYj);mUFIjz*z#K$fvZFhbcYP7l;se-zawpUj>g<^C5YmMC zT3M3p_rt_-FU^Ml?71TJ=@9|8Z)so$ya;OUqyv}5I)a+gwdN4379E_eNh}WD2HB5* z4`o=QUg&p@b66_Z#c=~JM z&s?Y}iA_vupgKabI6JdYg&^koaJxuoHll2eu%t2;TW@}zu%WPEUSsbOy^U?yhXG?G z*F9bI_T7;Z>Twsg6W{^{66*fq!`fc6Xyop3IiH%h(VnZt3{ma`xB_Q?X1gJ?RcdEq z3^ar!!FrJG{sz8_3{XqmhT1{DbPvIJU`)E~&v<0%aKMwrQ@?f2Lt~>e?4kBE2Z`ku z;#+I~EoqJb{hy$egk9CzN9c*4wWt)KyzK+Y$&7_<&V=g3h5LI3c<&;i**!;Tp&|nm zMZYzrq4=nG7JHum`rLpve5S5rN7XtMT!(p7Fb`j8o6j(vcZNYwwWJnjoWb;jSgJWb zjLE`t&Kjwc$ZwbHBY}0V^4ai0n6C``&u7kLzYC1@CMd1_nUsw5-PZxRkno8OOnn5V zL0-!O>IgCs%q1NRrw*b1SF*J9dCF)tyGeL8&0cM}0DHjv((U$0jH`00*!spn+faXc z8{$?$`JCN-6oP=I>90U0Si=mms;As>fNfYFv50u4!3NJGIt5brz6S*HV4sk?-}wpP zt?wBvpB>NAn-8E96dsi2DW!}dSd zGsGUc@vY^6H4n^kgcE(M79P*~4$$5QJS)zvTIeLMwI0^48>W!b~-FGaVWRyWlchh01KVAYn-pAPy~n}8vxHjzWP{(_NHJC zMS9=cD8mB(R^7>xM^wd~cQ(E}AfDuL)GR(<%?04ZN6&zw?ij-mWW7|}cU+~<)!lpG z2uXtYbX=yLpb7bYhk-Q?wcbT?86Hb8u_cc)*vKPv-YYPUDSk-aD6CJCUnAaVoUcyD z@QvT=4H?x&o&4nR};xD9xOgm|;- zxvPAQ1A8C#w#L;@IB}!*)gsZvs7H0jsTc$1OF<1jz49c>Z_}j>>Zp31gqyf`c3VG^ zVBRzZP=+?SCh`FDmA<+OG)+;jhKIEiuqql%QB`a(_PfD4>0?#o95w>s_0MrIwN!pW z)plzO=92FuZg2&7UzL6HZ_HHv>MBk5ZQg`T2e{k5o_MwG4X2~3J1$B^7Y;B-eW=f; zJm($Q?EdF{gu_&tToEhSZ*0ADUmG*x1HSC|*`Nm{&)ciEgC&1CiBC0ii#{WTXYs2R zMgr!WNJprhFTcH^zU}CxpI8|Od&>{cq3rY&MI}l0)%6l?M%JUErN~FRc=xYPBM zNno6jr*}L~V1Fc=WzsenG5`|1&b?nzsQE=gJ+U;=xJ^mN7295`@wPC!f@fa0)5Ycb zH+jW0@&#_^$``JY^;Ml@^M=wD#GYA-7Zol>c z>T-FZJ9z0QNQCRUE-U9tX`8`$y%k`YHaF6y^@fO%)fcyY#Q`gJYze8j+$=ZP->TnW z-;vL$07P7`LH<)~L@J(* zw2nvSZOthkj(S;!+L~kmtmg~Xzp?(SGfH|@y$yQ{$+%2ZDOsBnzc=`RHj0op`fo=iC${vpV2i#QRXWe%5e9a zX6AIXq$U7sw)HM(oQ*3@I(l-pfc?6n%^PpZ)jU3?waA_KtuuofrdiIAJ8-g>liYru z74M$l`8O#LHhE^-4h`39bA0PCpvD-W3F*CjkF?8@&bAz*CrDPUd^MTPmr-y=u^&l*XMJg)8(sii-XVFwwl3fwp^s&4i2`1PU0CogvaD-`WZ!2Fjc7yIeIilzz*W* zGCdl4A<`MH%=u9ZdeVppRr|)kdYndX}GfCqDk~BmfxC4 z%SzK;l+H!-UP!IVVysZY`E+=}z{u85JAI@9=V?-D<-ttgnN@|?uPz3I%5p8)1hi?u zM|@+)szB?i1AKnI@09K=Xuj$c=1Kzz%x%-YKR>k}eO6+a;`DTGn0K`SM~yiCT@)^u zH<6r{M{8Rhz=GDdhBye;c@C-7Z35Hz+(HrfDQXtoq&IA7MDO4FQpHZ=thB5TYr(U| zHcu(AVen9#wXLk)3l8o(k=(LRtIuRch;;DXPJ7yN^!0Qz$ar$0#?t$?-&dH~NT}(&0Uy5uw-3+UO8}e6-ET4JdnRxd)}~e#cO5WRGi-JSHksubm}d+7Sb9J6 zB?Gmbv*(~g~DL@pBo=wO9PGU^Vo z!d$t*FtY?OT;4CByJ~H9fa5dBNyb~xDNZVd~ux9q>USdzP#H3 zgP9%X}as~Q&dV+rZm4(gqNaq81ewxtb4ed!k1cJ6kre$Df-?+@0h?qkgw zS`F4!#KL&%$&vw1(90U-xHqmuyXE1}hoaK<1G|&#Ck#X)a4jFwDM6$FZ=jjjt}dZw z43a;#^#J^`?j?Dc88-h(*Vx&WYlCdyL2iLnU)6V4Wauj8-q4W_eTVtUG-oigs^Zth zO9oq)kDKRw>-`Wb%i6o{k29vEOLshAY-`ZO?XIri`>`^ChX#AfHc_-+Lui);QlIW! zRG8VO$YB#TU>uA3XCU`TR0g4Ao;$%9xgIzeU^9{xHjogkmFU)XjI#|1`^7Jo%)*+V z)Amj1V%$B=UQtyX2TLyjjRnuKeAf1(Q{Ae$E#y+I-VS{4?TkYGQ_Q`az^}kmCaoG_ ztU-gtS8<>O2R#20lt=2=6^VT7Lw!0Sk`$Oz7xqS2Jm9kif=RPE3c^@pug_ke<3RffF)2t|1pajzEv+6gt`=%}toz{FI{x{5e)et?t?1{)o z?{0kdR{D&w^Z9VA3$Gt-3q1eZyx=2 z_o8FHaeN6)+Z;;28)AQBh8Sn)d;~7Bxjn%BB{7+NqlPs~(Yg|He;am0dJZegXT&)9 z>NLXh8*&QogL8WtcnGzG6B4DC=xJ2aG%7<_komoHBceP1)agm~S|V+NR*7|M$UfH>u!(nB(j)KbLae008e^AJ&Xy~`35Gt) zZ|h?;@OO_YgXi1A$@916bwX=x_PEEi(i$3tY!*Mi;w|v(uzNoMo`0G82f-;Y_w}1C z#3Q0J8lA3>&O1`@zAx+waNN4)_YbUjJPSY1%|q9C+Oj?9vhP8=D+>88!Q4inbo^TQ z_2((bU%dAHV+u@5(CW7jgA>JC%9~K5cocuG)1HL>-4MnB5_dP8cY(}Vr;(J=?!Yrmr&cCVN^|o@>v;CQY5T^?^u2#tdM zfAl=kIvGnhVUtn=)MDGjjB1AK_q=rzx?gK;-tbX+e|WodZG(q+8~SKlk--1%&kpj( z&y#6;+3IqDqb^7QH6euR(}csbyp?+JCC*f5W)S7 z>=SQ#1T0(d4+nTn5kXN&1^>>7<^2u#gr@Qb`T$t=Q`5yd9{;}`!Q-h9H*vmWlK&+-*ZkJp# z2go0)!IsY!u*(9}o;#tpuTMUa1^_;bcq?yR&y!$D<72!79!nbzJgXH4FPb1O^3!93 zb-=*gg2!%27RK)5MwakJIqv3#Zp>HWTsK2`Q&+RolP#xc`V!R~z|Of;mDR})+TBLZ zA2om26mt3)`HO1JEpghX0j?ng2TcgiqN8$?VF7UfhEH{o#*b*#fFro>m~>z=HC|D6ksoK^3I7PQjXhF5mM{nz-Os4JB4|Me%6 z$cH`zaNPj5@S%RzpAc%F|NXVf1UVhM5VV_Ve9-LY-zo4?9QZK-eteuiMhL&$1)Q*? zzt8PvCKuM-{&GM6mNnAv|Il`$|B5ugKO(0sW#q!1;L2GKr3oDu zbK^r(tM+&VoM84~UlBa29Sh2d>!NXW*8T0&IMc)Rv^4v@xOovCc`=k5SBnRgOvC&- zTC+-?js6x%EN4d)&AVyfyH601xaR@)TqN3g`?%S4fU%4D%jdEuciqVJq^|fO-s1I9 zT}{(8?yx75)nQQ`09UF}rV5Cpb)`y^mUG2a9Drk;GXJ>xS#={yT~ymsVD5+~^^rfb zCd7fTAIG)L%a2f}S>}6CPA=*--_-_a5FQo^zvu+l)& zG`GLmx@ejx)qxQ}L|p4z>h2;sB5^-^9584e1Zm=W9`azX<&mF0wvI}VCz4eOSL+*k znw9*mS}k@|J*VAV*?XOo_Cs+1b>TGKr(W$}27B@Wg&L1MA(j0N{Zi4IW}YUnhwq1? zLKqkPz}|!V-eKoS&0mcCv|a%9Q5fvGs;TW&?Gp2PJS!Q-(w+N#LyvrI0O6g&>y;#2 z9f{hOq;}<0#X7-YL$#YK`l97qSj;jR3g8`B+=f=RoiuBnBFc@kGH)FN} zuAdpgsgJVO#|hhl^#cEn&N2}kc>yqkzr00p=fIrvz*%wyj;`y<@ZbhxKTXquvBif1 zxQ)J4A2xez0axj*tEf#XlV0R6wq2VelfOuT~}MQEEd+4yyZTEUIg zqPMrX1?@^-D+N`Yu{nQv|1fNWFA>7bLfqX0gyj3pJ6*@o#`Fu37}Di)cdh`(5HakZ z5w;#(zYB^}g=&DJTWe$B3?AzU@_FhqC3@td?R5baPvim#ZGVIUkKytt1?lT^!2_)~V+_ngD`Sz$6IV1z7T( zJ4Nx~hg}g0seZ}qvj$;)JuNMA;q)>Q%H4?E> zBg=jqpGSHPadMS_H+%O7-R-pGIrM_irtD7(DyB0bZqRfqg6? zhH6(|1{iH*8D^L{e!E{g{#Q-$mb(BfZ|9#q4uKIQZI}ZZ9A1x=PEPS)UVsVw_MJqR z4X$T4C0LyikuwA4tqQ=xfT6Fz<(W$dd%D5A`BXn~5;Zu;QMrmGq9Oub3Ez{gro zvJ4GK+4${g^6k}R{0%;~7^qI~jk^K+DlcE%62}|y*_I@n0VGzJnWSo4+=i{`UD(_F z+h+sUz=Z-2*84EjNW7FAQqaH_5M%kdwO~Ci-`*WP4wh-tPJ||ZwbmduQMP4F2Og}a zuxIC;_D7{Equv|nki3%m#kxI!?O?wB2hSGp_o{w<<1p9H^`M^2>BDob3N{`8)OG&z zO7dWF`LUh8dM95EZ?H2g3!a_k>$^A|B!*q|0b@eFvvKg64V7ef7wS`pJHokln0p7C z<{NM`N8k7vc0Gdd1gOa_(((L&b|IG+(UxFtg9~+{!t?;Z?ZtI(^Hbg4NC?&*u*)|G zajViq-10&D&K$022D{0&gg&UR?shydTz)^g+tr#0K7S%PFmO>o2l7`p{T8*4gM<5? zJm0khN9PPho4_5t74Wc0yYs*t5GWYW>zNpCJOC0Vl{rd<#jqdc_iRgs{bk;dNca1S zgpe$W0cOl*ZC>WG9nq@W=md$YcitYyf#{uUT;UlgeioL+5X27li>SiL?|a+|W+4hu zV5V{Q?Et%0yZ}FXVlW@*4fUbsf>(9hk1@rDsib5$0dO+7c1DS z?Dmb(!OAXG$jqRpW|sn#N2DMJMo-@sp-7lREHZA}Bg69*XRc1MfrsAh#y<$hY7gMV z_|yxaHV2Lx2Fo+NPXK~Bdz!`)6~wBBwHe>sR~y_`IwgU!OVZ;mye_A6{?c9}QK+z4 z4D9uWEaLf$I)Drz9n1&FmSvu|LHFYx8zR_e3hd+BQeevgcS17Lh6hvf2U!S`M4iWD zLt%d<@c%m4^Z;O}BCv1WKpxG{9Lf%hX_Q0&7S6wYu?A=tzHtY4ZtytI*LlX+fP^}) z81Nkx{?+|~EqX(%l#ACEb{*_5I~WGSJQN9@J^SCDw6N#b6+Re;;OFfL4`rS(UjyxS zz~jW6%jD~o>0!RYK#n^dk0@Xn-=2^ASu|J90HA!1Ja6lo7=h_)An+^!2sRCpFkX-QbpU*w zFTS}cS-#dajP+=!7CG-7UL(TSFJ1`dzXW^+J%;(8~ zvCt1dzknsKZP*VT=Tu3=fk$qLfPwqxDgfHj2qs~C$8(a+>lyYOy0kokW&xOs&b>&m z_p-<8&B1YicEySWZ9|IA_p#3kN*%f+in_Nk@4SMqmHMOK~p0vF) zba4Zl;votjz%60UMObwwP5=OrDS_#rJ(Ur%c36U!7qU*wxjY z<Q_`i0tJThE*QuUgNxk!N^jfr0O-7iPA53XMr3@_JO!53m9sB>A@8z7i#EsxRE6MbJ`bgXL3`?cO=k4|{zy0w){rLX*ZO%S3+SgIp z{`Sv5{`0R-fBg1;Nabr8vmaA=WIu2M!#)g#{n*O6_(A*-KH2nt{`Tv;|Mlm8|NE~i z{?=r3lmZS8F8AO5@?p2k{WAY~-un!E{##m3;FkNJzu)_Q<-f!K{jcAz|2B2Ym}Gx> zoZtSpA7+3zSF<_0Vn?WgZamQ{Ogzg`nO*@{Z7RCev( zUwc~O9{k21@IU?lSH=JFU;Q+R<~bYxu>X0^rumOQ_CNQ3{`t^<{E>8ZH~z~%#PyQ> z!ykXtQJmHP@(+J`(|`C^SNh)MKmWYWKQ(3hhkt}u`}wcv^M`-@uYdgUKmO@oZWkpL zydQY2Y2NGXU;g1wfBM%q`+T3~5C7%2Ut|5m|I2Ux>MQ&2U-|3YJc)nvt+|}*41DQ7 z8q0tF_onvWT&2!lS)2ah|8BzUUrXTs(ToxQ6EpT}ZT z`cG66V}IiCg#1&A;}{iVSd4S@uV47L=IYxDoig1dkB4bNzjUD4Bm0Sv136 ztGg)ur~kEq<0wAn$ejBV8DZI6+oM%sETg#2{^{RazgC&P zvai?CqG{^j-dJkz3r7U!|DXTv&8F=4SLm}gs-aJ<;Vu5|q5cS-yYAt0&)tuH%vQLf zz{(o)a)z(-Prr}fuZ1vz2`JmYT?&8yj!_O@Z2Y^&`VoQQ|GE7BI%0DPOa=Ja-woTp z`^s6;HDD>G-)l{O^Nw;I9q?BLFr5Dkh9X@O_|Mm`kHKA|AK(eWr8n?Q@J8UT)ASv_ z5q>-SkM3@DUH-l7kN+L6B=9ctFZ0v&aNhp%(T{HYc`1025&qU+?)qzs{@cy_H}^3{ zIBLHxZuE26l;211{`xtb7dUp)(ta=duO7V3vUGwgv(CWgufg($pC(;bf1fBDmU8^L zk^g3M{--bK`Mb>oKK`xB#uhA>K1+Um@>k5%M$LEsn)_UUXCi<6q3rjc-~Y#7TNB*- zwM4J)*ZS|*e*NJ0-~IU^`P=X2;V-}OXRsu?zuYnbYqlu?=O6zJm+$YN|MfcM-(LO4 zZ(yxL-vE9>!Vi8~g&YjXp8?9u+Fw8X?VtMncOz1QH~(djzDV@*r~knN|Ndc|bS=2o z{Abv?egv!h-+ZOtU*D1bbDe#D{l|TXj z*G>Zf8~^|S000000RSKX008&z0047ga&%~6YjbFIYiwa(X=!wDVRUX`E@^OiZembN X1qJ{B000620sx5s0071?0{{R3;Q)CH literal 0 HcmV?d00001 From cff996d3f627f6e3365ceef80048e08ccc9cb668 Mon Sep 17 00:00:00 2001 From: sarthakshukla19 Date: Sun, 22 Dec 2024 23:33:39 +0530 Subject: [PATCH 5/5] added assign 2 --- .../Assignment 2/sarthakshukla_iitp.zip | Bin 209253 -> 0 bytes .../sarthakshukla_iitp/ENB2012_data.xlsx | Bin 0 -> 76189 bytes .../sarthakshukla_iitpatna.ipynb | 560 ++++++++++++++++++ 3 files changed, 560 insertions(+) delete mode 100644 NON IITK/Assignments/Assignment 2/sarthakshukla_iitp.zip create mode 100644 NON IITK/Assignments/Assignment 2/sarthakshukla_iitp/ENB2012_data.xlsx create mode 100644 NON IITK/Assignments/Assignment 2/sarthakshukla_iitp/sarthakshukla_iitpatna.ipynb diff --git a/NON IITK/Assignments/Assignment 2/sarthakshukla_iitp.zip b/NON IITK/Assignments/Assignment 2/sarthakshukla_iitp.zip deleted file mode 100644 index c7c2a430a3acf66b67a68ca5956c17001537f4f7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 209253 zcmV(pK=8j%O9KQH000080El|FR$nruu*mNK0G%lT01*HH07XthGB7bRUu0o)VJ>)V zb9n6gWmFvhw(pJ7cq0wLgOlJ+aM$1-oZ#;6P9sUs;K2zF!QEYgySux)KAnHoK4-6W z_8s?*`|^yZM?n{)X8)?@cgkm05k(moSS%=bC`2eIC^D%0`1>D004OLdcqk}LsAYh* zsGY5|iLJAqiif?4lMbW1jWy}dc>r}L6g1TT`})7{HKg*}wv!pXMg2fftW~XBD7UBx zgUgw_R&orD`CNz|WAOq7>!meTQL%7Bl8w+)Dz3*a#f)mxMpKLc(L7bIhx8;2(R!!4 zVo;@dRM+$Nortnpai^wa4@fawVpjdP^)BGOt_=$|_jkW&j4DFu;EGHA`@zm&g%te;ZGKd&W3vrZST^6v#SkgY($rJEgF`LmS$GV^aZpX(e;*YTnxVf?i- zQo@)fJsnc7(o5{j8ShWW1{}%W>U6<@Qq5-HOE;55G+s;6#N@;+ztEkB7!KzZ80p=3J_>`Oft@a+xF1h?5m}?J0op#=fR8>wBfZq(lb9 z|F5qwP>TPSku|E!@2??yvXF#Bh8h9rIht5IF){x6PWp4;|INhzYhK|oqw-zMD7~kW z&7xb62ey)kS-DNJl1*eP#O>rKBsCG)RMvLP&yQ6~ID=cTN8D8wFg*{Ao_kgnk)~1F=o&6ysI0(Odj|7mpd#0Y1694^Pwn zhIurR@qzZgI7sEeQ6sNbO^voP-VWPlQ3+)l{dTw`#^~JN4#r67lC;SCep7z!CN1mQ z;tctns9#CYWh}$I$ZpWT=ReIGnk3Tr%W_6H&_fG5B$P447YQZeI_7yZ`G!yd$aG>v z)91Djn!0Rwj{HAG&;Vb!jRzzuq98>P4e}dE1pW8e30EGM?_|dE;XEfvZXMJx$P9|; zF8GdXgwpAxd8#2g%V^_p_U0u-a2@RD-?p{fkB%ufMC@s2H@eTAPoPj6{EkUKjg2SI zAYTT!H-%WJ&f=54tn*oUgKsvFE}JZm*WNiMH6wz~XjaB(1{PQyW^v-fjRc*zqi8?N zLSde2+>5hhWThTJ$6&wi2&Grx@6rU$TvMKe>FR$8?K1u$yWX3V0$nW_t)aM-?VUI{ zF>ahH1$PO4-#K^@fLq{IOs%wZuT94PCF!Pu9s6mnJmtdky()i1BMd&dL~K+7V*j1^ z{o4hrc^0M_vtQhr5-f>|4R(slF~=g721Q9X@Oa0i$08v*)8RPEcZ7u@zi?~3Zb{V} zqW1lR-A69BKOHmYjjOgLV5ct4Y<;ccpc{{ve_q@@d?9L!Lf0z;d4J0*uYLbDIPF_` z-aS#LJgEi=*^!;(DQw{Nn+dD#TBJ{<$|#k(_}ujPl?B}6FEYPzq5db8%9aH#5+H=B zL-2<(|53@=+{DJ@?{}6zN*!q`*b#ihYI}c9B<^KrMCFPv;ZihL0j##jo?|$0XeK_D zXKkuVeoJ+YT4OIFB7!xAjKK*iP@Izf9C!!6ABu=2{QUvjowcfIL=nT$8X4JqEd9P4SPh%Z|&uanCFpzZ7y?As;sGB$mqHqPXFrD!f5) z%$v3?ajd1(3zSx`!ivvM=kQn` z@J~lFYebut<2*rc9cnd^^Z<9#6u}Bg=%^mf7C7&Ti#;lE)_FfW12O|p=8C7#jdt`C_?Mux+@0VT8NQ1%HNEGqJ%h&@YEeYpqpurqp`TCt)ZJIMxPXn0dzC; z)k3V^%(~aXVnuyeD-njokWGkDFboD}@D<@IMUGh0VjPd_^3T?_m?*49IVI#t z<=CtJc3{r_PdWSmJxUWEa52%M^|A=V$UyZ9sTUPq1`eP8csW(CtcI1HMjYIc0 z__h#L4N7CXcTew1-($P;kcMZEL`!Pc?u0=3Aj`LX%hHW+^a+!Dhf9OC%#iJY>ZB`X zd$#QQB|8UYG220-yOqw3OpIk=rwFCBXBlPubPa)U)a8~zn$RudGotN8`x^^yKo-&8CoBs~$>V%oP(pRyR9i46x9rKs9$k$*|zDrIblWObs>GDY@`2nVT}2c z1!B2|Q{@HIOvkU?T>pqG^=Ly2xWILiSm>j@#)NS3ZuO65xZ>5vM^;+W_Zn};kwYKN z+j|WWz>h8kfdZnm>#m(Du+Pxy77Gie0}LY;6WC1UC?kVvWx8_MQy->4sL`3_B!!CTm8d4a#a4mcMf)ozQk8Mh zUkd{3KU5f^^%EQT=)fdiubgC|i!7_eR-@o8o!>dFPNLw$HvXpBN%EikkRS8yFHVF4NVq75b) zTa#hr<)y#&MQdOqR|G4OKjU@zcF$Kt0t=%BcIKtNdNBXK4p&lZX1!j7!8u*j@B3WDaqac@%X~uQ25a8Cf&*h1e<3wG3Ay?@$QR!K;emhNKK#R7iXGD3%;+u1FQQ3Ja_XA#xySG5!-!$uT&LSm z+02n+#%QX)u2h@gc7)Y=c-ZOgv{*iG|GMi=Lb=Ds`3Qvekx4uEK|QrwEcQbG8h;u` z5ykFp6zJmQp+rP;GU?y{j`vQbtDR6yInPxnUs)L7W6Jh1pQ~$b5bIr$t(K#jZsK-{ z^MHF2k=nT+aZZhegXnQb*6uv{Pu0{@1uzhpT*Uf=0OsqL#*k3B{=DSYXJ&WVHdB_o zxi`lW8->MLgt-?{uDrSKUw?|0fD-if@4n=baH-ewHQ8YmHxsKwjndxqQW+?j$!RVH ze5vwH{?U2W2wU;q)RBs9E07si35S!E?M+6z`%J^d4#NMRj%59R9r^!*Be~>~B;P@1 z$e;rF|4)wmCmZ9^lwvp4B6C+c4PQk+wv^FJOVdmncy(&Jno561!{n`M8l84+)ETcG zJS;j%U(su;hiwmoNtLO2H0aab^?xVmPb#d$+4fZT`mnvr>F4+SJQ*6*=6mhBU=5*> z=j+EPLGQb3CcTztz1RCY!IRb2`>XrsGQsB8`^~a4$gg(~^Xp!3uKix^^j+ zCJzsHIV*$p1bwb=@<%iL9w%}2ydPfjXZ2S67QCO1uho@&pY9%+P6Y>FZ*SYY&-d$A z^;Tb*5uPtDahr~B?s_2q^z@)scb32U8gJwMbl!)y+UEOs{@C_>@o;Fi+<#go*!D{Q z_`08u*5>2+c%3Ndjb1`Dma?kn_jGW~IhmoGw|swf6IRxiD){8*=lbiS#Va{lhMIzHm%=4E!4^Ytle6@p?OH{LIIi-U(z8LKTX zPgUOCC&wwbt9~zMx3hk@i|Tf-Pv@7rQEhBKdAFJ``+ci|FKx4WyFN*RMaQ~}l*umd z8^_J&_wrwPNdlkpkDhP`SNdLW-g~4**hc5s_@easLX9Qk_q*ya-h zz8Bo7VA$svsYShSYmHbo<*_zEuB?cclT~)O^sRoyv)%G-Ykeb_RA{1bd)3^)YjgXF zH$kw?_ujr`z=IW zuG;)s9xuY$WLUiIB0~@6vNv^H2*=KCT$Zvnn+~{sZdUNf@3|L6dO7o{_q`>;bzy5o zj%Ls*wd76@G|{5hldMgMtDz5$<93o;G01CKPMwq&5WBbKvBoHJQ(8@9Jt&Z$bghzE zU;QZh?yg|L*);eJ3kEZ`p-l4LLLY;vcKW$_df(P5(RIHlBpcs#(sY#$#eLxIpnI*~ z%fWH9S=`&v0`+vIT)u3wOO@gBD{!(xOFmvwG`}dsnljR(Xq{seW_SL@BltfKbKWuIdzCI}rf4fY<73%H!O#VrhYRlkezEJ5 zdZrTggU5Y=!&Pygh2zQ>ohep@Y4{d)cuM0@^rY^vuQNP#DUZ%-pQqPqyqM~YkTLg4 z9J!7776qd`#N*Gyc{bm=^s*lO$hQQq;KN{6njy+=^mK14J4@D)sk3v9HVyl>SD|um zEv&wH46zo4n@vHklr>#xluwo5YUY1AgYnwqpicUd#zR$fm)m7cG2;W8SbD^UmYvPb zn08|FtUzW_o!SIqd%Gk!APZj9)aKo33GKxSQoxUzZ!6lPDMn0kCMEEvC59U1PzSy2 zl{YIquU~I+xHzgnJ;!F%Gy*jXOXK(mL_xlW`%Bti&u~;Qc*ZVw@ z>eBRnB#$xm_TILG<0SPqMHD}JyJB`p6S&La0y|R2bCvVy+v>{9E%ecQ{$ulpB5T$AA@|hmrZedwat=Q?51bk!QcycgmqL;o*W5}WZsNY z&kuPrbFqamE9hG8DUD|WTaSW^^_S@!_mPi1gh6g8Hh6Yv9=*+~dYh=A0RqAx&b{Ee zqHIvvfj?&u&PpEs>1Lj;)bzMVD8b2n!j6eD!uqmlM*E{_=&Yv2{@FgCZ<0zKNZ}EM z%bd7f_yXbxa3PqnjJ6H)Hf?q+1_3o*jpg=7(}nY{<@w4ST8b0TvF=a@z868V$h(Bz z(yln%7aE-=63Xe8vs+*v@6>H*wZ!UAdHt@N$r%y`VPSH&yZNLwq}>7T2=jZ#!B z)E~|19-b|n7J95~7bbD5Vp%ig6j7Sx)r`)HqB_9x?SHm((5_N>iHn;m!Wvn%N<$(1 zOS2T5TaAM2$)suG&2bMQ_O&f@(8w#Jp2PgGOrgVMXn|7MKbu16rFjvyWn+`?hxqK? zvG9dyxNDZQRCOmVt9wHlZrveajkxa*SM)=7&Y0xntAbB^<3d>yFu}yAaE;%@8D0GI@9h&~e)phd z!8I1b`{*qUPIIheh3-ZnwnS+76->BL5{O3eKn}<9WK-N5SIjKtI(T4VGw?|u#w#6` zYN>Bj-p60fLZfSuGko)~26#wGv5}By%)L*n&2HrMn{jIwo&-_Dtn>Z=mh?BJ!2@t=~i72>Mnmfv?Iye0gFWlaUfUd$_iy4hK- zlh=`fIZ3GjWi@iHExZ$=>Q^!w>JZLM5ioBn0xd8F;p`P@J;pPBk9=z`%`u70)*eUIZ5fyYx302c-kJ${Ip>y-}p@ zOuSfXdiE{Ef_S|aNUu_@w|K+zgMq)kJ%T5g02PZ74{ynw)LxbN%3#UwSNNYA*It9l zyY#spXL&yTp$B_DkHx{DcycDmW{PIfJkz?PeNG(4p!gya`_#z(=dJa|mlB(~`I9I& zI)&TP+KNa|&iakx#r~=|2P?e8)6}7tmkFt3A|4SB5qFe^ zZZbBCeZwpnCq|0W@fJ=JiI#?8wtz?F4Q5H3NPZj7^+k#2Y6Ul*Q=!sT-0Y$D-eJsA zTJ4CNDz}w7syWYhkmU=SZMt+jtm{N0-pipQ)rr$z|r@#Wkzy6snc-n zg8+YH!-(e^Zu^7?t-h^<7708QwRSarEcr@tBc%PU zZ`Hj0Ei9al);;M^9%x>vw}|?$AJwC2=I+jeicyU{-wxJwmS2mV%y$bDxT+3nrnkm< z892EM56bDBPD$3vy$}B-Pb2f5(KuVaU;IaO#0Lrj)SzDjU`p>V9l`WLl-Gt?FNQgM zv(gB@>=IPG(2Kp;@Enl}+RBwmRQlPn?czTIBjBOcwv`Ydu3WwZh{Sq2xX{cyvRX%i zIGWY`DHij72;G=s&g`2typ@0J!&Pu1SMLfO13Hb-INPHi$wv#-yBSEl z_dFBZ8#7Ju_h~>m7-HSA!i+tJ+C&Bo;1b3$aUtqWOUP+Y1N0CXT6$D=Q~Z88q&58J zc{AhfnxZqxIOCFHho_(B)$6aSN2hPE*uIwO-ysZDEMU1(1cDMZ2Us6K-=UMxhu+U0 zXdV;Yx;jT#!;A-NpC-u13@u3X$(?_>MSplH~O87MR@dkO|zlkGkE2_gqcAd@)}KCx8f6clNj5f+vq0S*{Bt z-6{p7m>l_0m$LR(h&b2#QX&0CYMt$@);E7MR^26-zy*mDA90D=seW8(t%z%H*J2m5 z)hw2Qs}T3own?G~O?p>e^Nv;ICN!tFT$sJKwt;=ka`?Jmj#pZ)^$jpqI4kHr#l;?@QcE%%_jlQk4-9IzT+Tpakd@6<;P> z1btq~eo<#KyP_3|>h$leO-&0oQEGR6!+SFGO&m6G7c!&%Zy1`1@^Cx3haTCrwE!qb z4w!gzbYJzUoed;q6ZfeQDeTGW+f}CrADZWHcC%-qrwvS6R&7Rn5Xyfo&ULRHaMfI) zG>Z!^ef$AAW5~5qFPT%@s}izr;YqKF*as9_hNk%WdDVb#(;Xt)#y-~D;2YYzNaJ@# zeE3t`ZP^s-#}y%tvFvAwYY$$7R-XoO^1;^(s7izq*m9uT5(GmprJ!m`^mMyv4|6S_8!D;4Xx$=pgzJEU#Yg0&r?)d`RyT4pn-OqREJDR_hF>s)?F&V%Sg zuy{rG*`V|w^T%c_&}p$&elobBkRz@iT%t0kzUa&J?6c4t#(fZFyG=tTQCbxv=vdNk zlb}q9#mz?iMv$tSJxC}46vO}u2 z%|jCLeKDveknoQwqT?8{qpHL+ks;7=5}{x2ST((sx_KbcxP--Rt1s{~5v)f_2J}S= zs_rgB8&lb|-DT3s(bxe3f*c%|B&`rrA+yWa7Fj|L^iRy*Fmzl0El$nLO+ig}npJ`1 zu8i1z%+u-!T&Hr%)sVvIu<^9Edu^)b(K+{E|JmRm zL&6TI0=8}+W+@Nf)`Q9N+iHHUPD3rljMw7#qb-92$aLY8Qidb6&!|KV(R+Ydt6=5?C%W3BUBF0Pl9dIXWf zt}|O!U4S%WfO8Dom<*0A5gX);HU0OdQkf(^)j;LubVZ5SBq@hF$GZZ#jy9ceo5Iu) zEY9-T>Q07&Zh4WHy9xMaRsIwLmBmc}J)Y z3WTB?!e4r5M^$`eq3eet`5bl6S%iC;y9#3m9_TKf#9}bR!fa!NVxqqTzJZauyz5&6 zF}D9z^}ImR5+5Y`h|?#G_Ujtx3`w4JFI=@J0JaSRIjooK#-bYo+z_%xw;v1l&(7&q z@r`fiC*Oq=OH56&R0n$4&~ca6`ZP%&-Co>mICA%;R(H^Eb)VjE$7i|5>(UBDc%x;` zsuBp5${=RS`u4$uJak6?&Tfr*OrPU3vR7ux(`p$^$$C`LQFqd48PqFB;uPtxm9q*j zk#{hvRid)amYoY6`U{W+8GZW7b?BexiWcVK9X;J9b&U_}t~xoMB=P5Ke}`90f3+Fn zI0&+d18PUVT{I`PRwcgP$CI5Cu{S8TG}As*Bg(RU?1C{~+$n0mnK}0KVpWQ%t=^oV zv;I}(no2UzR^{%ur;9@&&C>LHuPrNC@n`6N_VpQHPxEU*bUW31@VjJzi)QG znn>z8%|mJJ^)gCWAnvfcRP}EYiWL3vWXj<368cy$dkv9Lk0X0%4?@)Sv}lbVtkcSa z*E-cy%d9jd{=|R>(@}iuc*xscwNOI4!FZb~;373Acp?%zhwI0fI{hl+!0(- zlxE{mHazBBOC<2qCRUnyQJeGkEzi8WU}?V%$Al-K%C<|0a9Sfzuo~2e_O0HfGntOc|k9H5F#d;Yqm#=aM1VGL3<6Upo z`voz<;?V;m!$g%e-xx(+E}9Q;+WKEazz;ysLoZ&!h8rHU75(#F z(Zc=BBXd`ANF---L+El=1RdaXxc1lP@I->lZ25iv!UxSSTf~G|d|cEX_UKo6Xj-gd zm^bJ;b19A0JKh$J3vWEF5<-7JQzb*aqP*8{TTXgiwo0TwhVs-|0Bk+jF!qNt;?aJN zMX-4rNT-c5Vl8*w*t!@eXlDXqI=ZCv{t;ol_zMGRk;%&}%^;yQm83O5ey-OZ;{Lx= z0h;HBBLahe`QB6M)l&P^ylc`_Y%%0*h+1eW%R&KWwGyRyw(Ph#j4))rBg!yh7KV7D zq=@J^t6WvWjNnC?ywWCCQQxbWB*Vo~>%oD>Z2Gz4qh@UPh8)!tS-K$t!n!TbY0up~ zET0(eS)LYC0%vl}rsd+TF8%Y*eE5z!DXM_Pu)RHpaZQBx&-xbQKE;=CcO6&p!GvQS zI7mVWCU%=YT6I6pK}dBPU2ZOAM9=@CWfIrQn8yF2GnBh|Z<|V?h3C6ZiYxSEuKFPs zTZr|i7-9kKh;ey&u`E#LJe|4k2VS zEN0O{zriLe>K31RCF;pfO+RKKzP|bYCUX=(Wky#9PD$ zUqx5q^mg@)IxvJ+4XZWE{A%zInBnI#S8f-Mg$Bi7O>Z;V*Ki(sE)P$oUkH<*jOJ-O zD>D(>MEJDL=fQhj-#y+>=AT#XIS~Yls3q+Dd>^AOrzxTzd6{Bg8wiDW07DtQ{{UE% zq`JxenmrT2n{mcp2Cw(z`&=Sk)*i|La!|&?g`|?~X`B6?vw#`T_6KYi-z&RJ{-L zv|%0y2!q;CwLRVW0Qv@Rp}I)n)(W|qf2?{v8q5v*m0a~?o;OVCB)|oi%(%74xnnq^ zS!)W>+?-t=#Ra)`ph)fYl&UM2#a)prS@IuP3nMs}Q_1h?Gcojbxr{; zu07%B*JjdqdLCA6ZJW`=#GE7cWx+CN>ho5*IOj5)HWS)Y8~mS74kvWR!?X`D2qtUg zjN%$2E$F7Q1C*k8vWZ>9`48e7i@G9-!Eap<%RZJ?eoD+`i}_ek+{25y6gf&2sHl#d zEr7?E&j2#dnfVW^mw&7jBy(p}T@U&$Qh2jUaq@j>1qsj(EDfd>!?7)&T?c2ghO`BK zhu}Bw?miZ~P2!-?lj!RM0iwfSerMaFjnh-0>wWrJ>Gs&vsjd7I$L{u1E2*UTl&~)i z%_K0-*y5q8ymI5KIOCyqIW}TUu&(W~(UAvlM^s4Q>Xy=FpLyUa>cg+*HO~1_M33AS zS!q+CnOLJxGgs&XcwI^v+Dxpk>@rbsmElm(d<*r7ys3V7Coq4|aIF4-zv!)!x7HjVBU(Y8*LXKYma6YVav+l|y8&u7Y8#&4W9- zZD5>laGNx(6fO4ckz>18jBOV^ADzB|Cd3!teuHJ8Psj(6y7R%!cft=82I{Z68QM?# z!#)-LQduPLc6)L4{Jw(ypK1{MWd!M*>o2Q*{!(Wi{w~u&)Wu8e)X*#w@=)XQf%&Ep z&2>Zdh8C?10eyHb#lTs-z}hV6mo~cYn+sME23PTZX`1yY?m3@A1H)M`M`Q4(pV_lN zY~fn)o5|i>>Fe)xw2y(aeyV%8Gx(c_tf0KVqUC*o9{%PDBwxxB z5#o<8$`b`adZ$083=>1UN`I}<YsnOTBNr& z^oELGrIk_jHA``h!TN(Kp$ORkYt%sIX^b&Fgp_-}Z6j)6`&kTBEI+`}@t00r*^2`| z(Wg~|=J@zom2&mpcVqB3Po8US(Ue5*5|L#Z@7CGHh-`x;*s#8o{RXiv=1%{c>(i!dLGLY!ExGEQ$%4^J72r zL}~HtjE`nea)S|)Tm-Jt_@*r*;X}9&P+0e{oSd15iqM*TP|T)L*0HMwh@9MO7E?kX z7ELQV%ItM-7*#HZ0S5W3s}p^6zU=NKqpRG_Db~oQ`apk%a&@*z4har)}C{g0cct4%>;jz7=aGxMVn*uzG1T zpLwR}@`P@fH-vS{YJH+v^<+E!RkFqzyXMM~q{NWp_qTqSDW0;D%t-i19v&`Bd&Q~o z4#i>t>ou0ttdKLUXY6}RltD%rxQ6x_&b zQqkG12RX7a4=9<%37c&$t9p(|&tv z#`2%yTP|N_T~AhIjIj3Y{&x0dL^NIY?E8G$Hax+CAXBu%fetss>2<41MSZ#q+lJrl zb~@>@y=<&~_ITPXe_A&$#0o{ysjMF&yxQxdp9?y#nNq!JWkAhc{k)j=%_r#AX1*_d zFAmJX5KMR#`O|1>LTO^3+=mx`&X8a)b2Xuh!~HZeqf?`Jc?UpVsmWBtH`)g_91L zLs9@}Xn=;84>r(8V<4dlqzz?EZ%vNzR1b4I@1o>8mGLm&RPGl&-Qba6xYkYAka|;{ zQ;>8@Q`|B8 z4(U?O9*MzbF#!}peOzsVW_7D~Wb|;g5yG3j?g=noPOnVcaRuS+mfTVbmwXo`+&2^8 z%;6QvKsKq;G|?gPZ3emv_eZBpGl|&dl&o_E#@6v)j130G$dLunoYAY%3^o0^*_6Dc zNjfU^NtoSZhd@)KupX#|Y=l*JKSaxGxrP=+c@bbGA0m z4tR8_aoLqKuUO(;yDcKOiCjC_mmZj{%J^a@{G2V}J<%OqaZx$_6{^=rv>^FW^YB+q zrxt2)4JytEK7A^?2A&l=N=oy9(F}UJJgPxSWmUq*1kYt2+ZyMk?2irkqA5S1Pa1y5 z;y79P;4eq>X_GK2#u7H)&Y=_#tltBWN6|Die5XjuqN-C`1)7Jha&CqA4*AjbFpbZ( ziY|_KIF{A)p5Jd(|FGlT?(nF~DYj3kRt{VMMV0}0l7Cx~*-ToKMZ<9IiC~$Np}iX? zZ4+78av^R_8H@dPHEu$)Tbup$r!n9r#zYtuCqpYTm6CRKeh1E>1-c-Y$pW)=T~gCL zTWvtZtCDpjFv2cbKN-&cjNU)k1b_mj_s=&KHn|sXH6c@qqZeWu?9^&D7T#_$(aF-? zT`8V2XtAU^#ky6NlrpbcAdwD4b)%DlLQsI#(7{bDNRe-|ev z6*#~T+-5?p@2MiSs=R7}EbXK<61ZjWO*?nAs~*z$VFW2JKuHf0^ zi?sY%8@hXzzQ8+wnp(zsyNqP3G82aYW$QEE^V{})#^Lr$QT(sOrUszs@!8Xi3B`*{ z?awIAUy+yKeJVq6JY4K!xqK4^3XD7I^utUTV!!L8>fCHnyA|1v-NnGgK7X!f63l9R z04+3-3SPf83kdHoP7LNvBieq%ZQ|Nom%?dpuY$r!hbxD8Cf8JWd)x%z7MqG}x^|8$ zC_CEeQ6=XQN54nxj$<5n7#~C=RjbT9vC!iIx;r?Q#&ND^gBgX^aK~xytb!mqT)f0= zus7k?^-JRr103hejpWmIW1DQ>{hHz`n~tjTW$Q;Bl>rfg^Ot@XVSIx_tqYs3z0Xkp z!$+_qqwDd;4EX9qJ7wWEnh7&N_QbB!WHrrW_4+$63Peu8W(z!*)|<1@m!Xn}00d26 zSkx{2aQKTucD5^{q}#ReTYo`gcSp^Y$+5t~%xlCuR*(e`tye>p*|X`nV+KcldMRup zss~oJyx*X1$f*|*8yB8AGxM0ferAWFaPg2Z(EN+(vJZo3Qgm5Ub z5cF~g8h{`=r=HQ_u&M&^j zMJ6ks=~r-@R}R2h?AO zv~U?{JdD7;-#1QE1D6JIGBmxjL3I6IvS{#1SMP$4YF0Q|ygR;u1)!4G8;f;EA-waP{Fjh|q<_x~Az5SB@dVNQy12}gB5)?aR$?G9^ zDvg2KCVegM2j8aTZW8PGeVVj$Qq}is+CL>z=vx5uPetAsJm>*nq~$T+l~ks0-FXR2%5$)sK(zzjrHvseg-#h z8iyzq_qliCZz5a8mb`3VXOvTh>u3%eUNe;mUpIDt6Ra7hQ+b+LGBZf484h*)c zm8%E#;@1kTQgzud&oo9TS@pU1dNRCh^r36yCpR_bRuR8ggnvpYp|&P!^t4hSc^8Zd zQk&D)FCP~|CZI>D#TSnta*OGJ$T>%gFxT?Y-Jm$P3xr&gH(>i-)!(NoF~b@Du%($2 zKu8bN*OwB4k^58mr4m|^6bf9j{AmypmPXda4rco&T3x= ziTv3qPH5fmnglI#Pn6&kMYOxlQ-uB9Zmy*|Vakksdqpg&O zxu^z&$c`);i|K?@+lAFOgkbJ1dEQc6-J$ntp>~ym&coTe)n{nEhPyCzLQ4{KFGGF% zzU$ZRf9tHR7}gskEAQyg2M2VB!vv$^z-yy+MS{*zZnT=QY6pmJrgn)SCLpi7s?^8v zJ8onH@}lx_Vg2lYc6oSs0tVRHx8lo$n?UPurg$4i|CVY?Bb&$(&%1#opOjV+gVm!Q zC;zSXChp$>sPPB-+>q%SfNu_J?{v%zQKA|R{eI$`LB$$wJ0W)?FVHia!w+mkSQ$X; zO4K`9l*D!{cfQd4a-A+;6bdAAmI76e+2xOmkicXHpNIUe^z-28a+l^Euq58F8ZKV4 zdMWk$wB9_u@sUYXsV{i>sWn0YtA0dvkpH2=&fowxc(~V;=H5;?+pn`goOYq zEOj^Mm2BSlM-D!vB_7q1b$En6RGdfxdO}VOJX>}YFP?7JC3L+*?d`}%M$Mo)EuK?* zq?`xau1`?DO@)Wm(6rr2O^lq?;R zZYxlxG0@uEAl~Ml?eggf1GL1odb{jT{yt3^hrgyDJ#3iP^rfI+AZ@}OqrEdGGsJ)? z)I9FnqT00;j`I}i^1 zXVmOg-`YDC`!5P?aP#qZ$k!7Os#Scf-xy`gU|Y|JTbf$|8Ac=A3SiuTXruo zby1?!W^ff!me4vf)WF#=<+t$pqs3u+jW_{eDu)K14Ks>4IDbOzhudNPKFWAFM|XY- zM^;JYllPQ)sM<;OwBfLX?>XL!vc%72csglqs#5lawYBPwPIIt<5CLC&?Lad}FoziH zg4MZ*_O^Uesj&%8K7&lc)rCU!qA|AlYICsQA$9FiXDkQ?1i{R5dVhmxxU(tx0=~x3 z(Y|qomj=Ua5W=4fqi@@~2F0d}ND8WlEqBQbqqVW}*L|lm&boC<>+u}k#3GI=kYP zqP|+LMfJ!UvtxHdMb!H_LqGSqP$$X^Qfra**EOMJh64w{JGznCrhtu0;M)1h(&#o- zRt(&7Am{Dn&eEgbfJjP{2u^duX)RAQLrnlbK)}Dur{`!wmy!_U0^AAX0znj+5G1Wz zhq2jD&c|%FcnM9mD}y>SmXZzVW0vQwzTX79*RhL!mg4{joZez@%AVWF}fWb=5UtBM!+-wZ^~^*^LC7pJg`a8y$X-TyIN|Vi(OS2Y} zfRJSzLhFDKy?`SeD)Nnu)RY+?B#7qwPKr^|Q1pv8&@hGoaQPtru13_1rFhGBqc0ux}QKk->8Is zu7u1bJM{N1xRKP#`#TV&7fdwT>r z7V7C+Sv?m`IBU*n&rX*qhHVVo(_)`8vj*Rb*RF|Fmc!x31Pe4J-#Xl9N)y2Mzf760 z$Q3?2lL8a2@cv2Jg+xJT(-E(4#e%FH3|D)L+Fx8pXSsjfKE03* zd%fX;0BxreG)_8Z`BZ8F-_aBLup{*O^_Jp1Z(Ay1Vao4_T&?EoK`*yZUyjr+y>V%7 zi%Io{AF^(RLnC<&ckWN!})QRjtx5fbRHUEXuf%`28cm&b-TE;TC_Z;qkOenVg-A- zp-RD8r@Po(T>rFS^Q`ucPXFQ#|NO7I{-S&^pmXf{0f76DpGWTr>wmROPNvf~M;KRk zPX3ah{a53zR{Yzzj}FmC{mXh}^wb+*(4ITBziItrk&#ZZX48+q87Ie&Mt(gwzGyc$k1A94$o?w zlPk5lY!M5`VZO~+7q+vM zG)USKzu4#2^vgTiAza%Dj|?seF^~y$|6AO6kILg3aci}Bj>aEcnsf-#A;eYmU&Ivw zkMz&H5^_xV4{urQ(z?xUap*7rZptI7_i5T&mq%Qdv=+E6{)?RO&HqJCbbrYSyR5R# zQPa|Le^U4CU@wjDi594R@5`1r()q!~mh*n(${-X}D=u0&##HP;SDls}e8$mLkY>cU z9&sLA_q%29a53C;|07AOrCj?WBF;D823KjTfQm0r2nZ1J`3t;|xh7o8Qy|WH_8L-= zPL=;4lk$3PFvyz==Xeq7W5A&?g|=lETZz3r1hLj3`a;kNpbmp@Q=JmUlKKn#POBLT zqSpI=t=~H|8mTg)+}s;&HfqF_Rs2Hp;l7{{XY`eDuLdzJ?6&#?`H6qv8vx)vG_*V{dH5Hk z1yZ!lw{P$=0CB2&}|QYJ|RMWPhCV*8IixwP8i5gNKbAcsLeK zzO;T8n$)E_2JeYCN(kC4?wUT*hVorp*^H3(MwZkLaKDRFd#3(X&{easz)gs?v`)GX zLIApPN&aKxPH;NgbNvCnS3R_No`})Tn*8f$*&<^HcgeAJ3H6M0_=c@(&V@rH2{;!n z>4GjL5u!+p4SP&y;g!BR&}!ssW3mSipI(0wf3wf=#&4E`MiY;y%$G9fFAeFK$2{HS zaQQ~6c?s~TAW1HwXl5STXsVQ}EK7m-N+MbPO(U|5j*okDt92lj?Uofl(H@D^08400 z5lSvMbLZrMKSKg_r|Gx^6|0Ro0JE*R{kF1f%QB^U0y-F2lw1vrmr;7@JE^8#b{TL2sng%Zank zey-Gh8`;!vBqCdZ2i$T<*4GJlwxGs9F1YTTP@L7S>khITT6fr#y9113KE24Uax4JljJjD|H+{5{V9Lktl`J+}`}EoIw&9cG zGj%D>>?`3?4StH7=>a?xKmr;g5|*40C`pUKUe`e+&Pv{Nj{Q*(A-YxjhLW6N8kt*0#7>qPA2!JF1{?p%^J0x(!oYl>NNCH!0^RDt{_{b{b z+R^@Zv!nIqgU^)upks#S726R}N$!uHcRS|j%o1RKZhYA3amy1CPk~?!>s{shO-pD3 zJ))AyrtDlag&6Ng6ygcJ*m*>X>7Se1mWD+DE4|CN$j;6S@4-3+&ggequF;1+bna#kN zJlexHgrVa@^USS~-4kmMjX1^-3WMbC)aRL1lkXhUYeyNI^{V!)k@<(CQHR{QLAa{+ zh|IuHC=7T2EOub>q6R4YZP2p&*KNxi4Mw`wC1Z!L%f=o)TDov@>n2!AY|Z8_?CMV! z(*dEliqRmD8+!EaIJJIc$lIc9NB}wD4HKen9$KnbmALM&DOxG=!h~%qgIoJTBqND) z-?&uI$nr{n1OJMl9|^g{>c5wm4Y|bX1Va6OYF}?cgMH8UI#S zqmT(5K6dvwHEE%w_HZ-T1G}z?N9o|=^?{4UV3qgzmqG2k zpzUWPWpD954)b=DaCk&oRCc!j!dHRp3WC?|KD&U=4{d~H zhXl_1_O1E4*$-sudvESABa|X5^xyj(l5cW4S;1hcj1fa}lpkMF#LhH}Jng8g_(#)R zWcH8KTkOIJ+@MXVo``F6``;+sHkVAm*NCQ?yks}0uT8=o%MguhqwU?mIgQ%GIzfV? zimt_FDFtdHEq8s>upF)M#Az$b3_7?ID3y(JAC`T>G$#&-ud#KO)#~q+FxFx0iA zZU@yV5P(GpBgq9HZI41)h&Qza?~XUjeAJ5!&n`pC4G#bHKr&IXzk7UHmshO3fR??b z1vUK0!lV^8tfT$Nkr{YpBLvuAjD|e|Gsi`%hs%!jJ~-pkI7^->2@`lvSvLtkaL|{b z-`g^OJ%Qg}Jj3v!<@Qq1o0?af8D7JD+<$scGK;GS2~U4+0=TI^p{*9cO~G`iHldSPHKkG?TYNqw=1SFXNeGJs2YzEm&-F7SW=Jb$l=wCNOLU1+z�SSs;%wQgfF@RD=wia#*Ak-YVC*A#R+gP zMk;~`h=^^2^6w(lEc4b#g*t^Zg94#|Fj;|&mAjt`NnJPFN;y{EH+{xV=s$^hJD*7P z&SE<%&J;`53Q!crT|B48`?7q;BpCMPcrc1|aiC6c zT@EJlM!m4iF1uPwXlTwCeLTOZ+XwS_nQ9_kU_neP9X;-+N4-NXnBbs@%I1~BI zJ$mSpxz$s5c>UhfYWXF|Z0h!f{YRaWjFMSCPvn1PBRs(EZ#Kfa{Z}>;j_5uRddad# z(O)KB+awo6pKI;dV5x=e`bA!8eeJ>aM&--Y7ZYm#;_r_M0KWej$T866E^f@J3muir zKTs8g_}NhX48y&V?ygSB9-`oY6$OW0UvUKMNEXI6Hm}VvBrB5v6ie&&)I;mE=I{B# z%|H+?LN1uEYma{-%t;IGBe<*RtUi!%_()W$Iy$`+I2}=Vx+85nNKNSwW zZa%>OA!b6*DB4k*54_vmap7|b#5I0Oq1p!dhwAve;+YrLNJ#(EpO=vQ&w}9Qh*Kia zUqdE^7OZNeTqp@WZCk>IrvtE2!I#p&VV zG_b2+JHZFzWagdSuB{@ZLj^Suz(zC)e_AftVMK23GC#0Q%7ip63{OwDVzK6z>?Vl@ z@#PYirIF>#wG()t6DK0R8#wPzTLZa=j!!K!3qv|o*K*CT%CKuUl83+R@-zOFhT%3=FI+ihKf#ZE>WREEbXw^;AD#Q#UjC& ztwn`T97!b)H=#%?5*D@kUr4jrwSRdwzrP`Cjs4ELH)#qXEzV&@5k0w&kj@BU=E-&D z!X|^jEt#+TmbI!(OzmxPRwS`=MTsQ+txq#iuB}l#5f8e^^%1AS?LKH2CtlI^tKggm z-C-Ml$l2dA3tzV+FW=T>2t0A|Kg_mqA>N}HPY2J9&M?cqb|4hM3(`G6Sq?BiQLT1<9c%=_wV4ZEG3TVo2G!j&JNXYFP% zVwI*%C@)?;Db?Ud;uHInUg;R03pWO(giI)R;O+6g#^Z$ zB~WBg#Ix#{zg(ALuYG>K*Vd9k%p`3gQ*4i68WIu^?Rs03;^Lixr0;oP3QqSOT=SUrd|JSk_e^0rW>LaHe7RJ0apX8t-xdMj#EY1;D6F{r_pA?GA$B^$#1311 zmXj`N^*R(gt~AZMhB#+e$K2R;kRHTbW|l)G;rpJ9rYJu)(~}1Xc_Z~&7?!hkyZlT) z=;p4~*4RmjNRqb0#MuX}AaLgzTxQqs=?!O3Ot!>!4gG!w6)PN}yaH4yGefc3Ar=aK_)gKufk($?_dcwYRGNU(BDb=(sI&d2Ka8)fd=6vUHy z>ZHFHv&FJkW)^IAZ4~Y8z(Ic}OUe9)!<%0_9HonU5q1BvO1w7c2Y#NZmF`?bo`5VG z$FTCkU2cVq8^EvJd*3H$JDRzMCDcjdAEX2&44Du)>buMxi8k{MFsIf^G2QJG7h%u8 zbkh`cgCBE!sxEH$28x13x}6{lm&~-x>s;`8-yEfAnKvd=09FBd$Aat2fdzYA#ge$) zOcU+Gb*ZWLDQ5$rY$)lW4n^%su93v2H_Pb~$6`b!AE!sgGaIXgoaQWWw_OKHR40CB=^C680b1BulHL>o4$9*LBHF8j+#DXX?krMK5lp`+V4WDJ_-5KJ!#>HdeuFn&65IumkIXw9uVeKPw9^R%cIlO z)#+f9jBA#ABU`$2^NX&+?V`z)3i4MHm{)Fnj{|8$iyx+i0hrK0Dp(A8MDqCP zg&_1mAT1fY*InXByNg6YciD>G79)A+m-)L7(q(Yc-IOK2claZo5>mP;6{lL?NGU#w z8w2j&F-RQ@$}yG?e=p*lC$x`d`%w5ZLe{c&n9Ppz&1`XZ;P+>(MAV(!c}w5%-xa(|CHl5?sAR09XLVh3$xfYA zCfx2F0exT<&8%0PiTcQ#{(w(e(5mKi*VsJh&{RO4y4<4d)D&)LeSS0Ap;KH}U!>q6 zw}DKJ2Zzp#M4bre?Bsm1 z{4;!F0yU?KVpMjJC!bVOpOOflZ6IUyru&XVYNq?r(E52}uN(&P=|j`+3B6}^d% zlXWuhn(H`e%CZ%W#&_80t=g)i>a%{%Gh2PO8g7kH|b&QM*J*u92?< zmq&bRL5=@KJ~`ns6vZ<0JkbGf^ys3ZGPS5>Iow6Q0uKkNO%N&(nuU;7o$6T6_2pB- zN6}_fOclFg?w>^~5Gb+-K4LY-3w!i0}`b2AP#1o$X9hS0S zMa{|mvBp!IV*NPVtDM~Jp<_|7&zYfVXPZa!GE*N*sGT~~Ul|IRo%s)rO9Lniu%-yl zz4xaqWOq@@eFlLC4(v?CQE*4Z>Qe6B9>J77*AQTh$`@g5v!PV~nz;r!`W6CoeZrl55TL8= zazAiL%JhU#d7q4&cU8y}k>Y$6p{&tpV{!iCPh<@G#ukbGX z(q9hc#^5{&M?XhlV$G(^a|ZBD4%%)1=)7rHUFhneKo=*nXom69Ujg!>PR3s>yEYtu zLE5n{xuaM8GxqXA1evGZGvp&Ccj1s#gbX|OH^(Em6>#2<;IPBZ=ZdX|QpuLwgUEVf ztf6aC{Za&g8^2`Iq3Rgiqc?ty^@m_NMV+$C(8EL$Qa8I|^5*9yPcJNuC|ECxbruW} z*vCeIPzSZYzY-K69|}WU7)~d1G+&sy9X38NnSX514n8r?%C8H$B`9UPZ)-A{BzRVY ztTRH*`0}`7qIc632F?oeJNYj;u^9WPE)qjxb%>vAn%kI!`AWZ?Fnr+sq<4FpZ=&?r zIQ#bLorHA0e+-|%0rP9ym76iW8eowK`(j&QF(33=P! z_iGA`#eR0_yr17nykw8(H zB{N802+-%B9N00Wv(P?{0wb@;oW#vM)dXTxLgBo>W4DzhN6D_1X)*{J=Ab6hLLQ0n z*N1}ZgMxrEEGqn%3X0{4WuP}PJ7-cSWdWYE@BY@hFwJT}IWQ-`LlH4}H;G&ckK*&s z@>LYA%a5|1ZO;z8Lhbm{FXp2J!H%a6za+mK~gJ%Iolcni;}r=dU{ z(fK#hUQw9f<~P$O=29DIhGUKPU;ymD-9E|J$W657h zk}UgKUlm>3TW~QkgV$p~l37i^^xrudg0*!X(BhLNSx9tQbpHUd@K!zGK)Z_^v&-tz zDevp=0vOgB(}0pl z6Dp}d>>FLZ3({2uX4wnSl-O{6(s|2OYM%fHSZ^U*XUX2;v){GJSO zgoDeb0jQo4Q4oj>3+sFEoLY2}i?2Nw!ZFi!!|LnFnM-kF!u-eWW?Lud@H{B}z(%+! z!eB8&dfs-d1dJS=Jr|!B91Eh$uIF)#M?%uX0H0A@m9ZCG>MRd@iXcQJq&KXW*v~X* zR3_NAWu|iDI@~|z>w=ah=_EfJYH!%sAjeXN^ROI$wMl5TGHA$#LXroNr$S3Y+PDgm z<%u#lL)_1635x+PO^|v^8+Da4r9--j&f6o6I{d>08Iqci-3>G~7hLq;Cmo731r0K2 zZUik^ncorulffeQ<8>*|5t(DU6)O@ylBlgOyC6UW^_=i?w+|INH4rC1!5Cu9j6@3Q zF-zNse3A+8WyhDTKUD30+1zgtC+CN4T6B(YC0OQfdn|as2=)=1_~0O(v!Jq>>Szj@ zP=SHlVu!+FhPFqK_fK9-)z9X96v93hP^>zJ*`NAk=etNVCxDmc*+?LFtF*~4CKT35 z1W^1dN;{%|CI%!`(X6jR{AsnIEjgekI?e7K7Z_C(+6ES<)EcC!0`j9 zS?PrRAy9CC!vF;Vkru>W_q9XZ&c5JhPnPK_x-wRdX!MmeM%Vc}JM*U*mqY41j7Xn^ zF(e1IH?RoQcp!9ULQ;J$p=j^(Ls#{GO2jZav+w{|PoQm8)6?ql{y}YgpI%22Arnq- zfhhYyhU;cuWU$9W&&cDQ?~8-fLS|+Om!gQaLuSy*iKtZY&%SX=R4!R06V3o3rK;06 z4FbWqRN3}U)Oi^MJI8e=d{SEO(a|_@j_#Y^5f3Sx<+-h>PP0XZ1TPAMw- zY!tAVQ#RQT^+~s&|O!)Z&H+=!K;qNj(Y|tXCBS>Q)9KS-bgWJ4?Hk6wKdlw301VA1SPHtig z43*-B^dE3Ce}v>^rcZaJ;NEC`ZoFQzSbS!<$i;WIcY?^kI)@9nq$mPf$w@S<=sXgs z_SSb|Ko8(BtPV!UIo8*7>WsC)(TUm+@BHR&l2v@QoWq&uRZJ~`TUjje_&ans2DjBRWnFH-)i?f&{D7r|! z5?iQ))ZbrN2oMZ~0WS<^li+`j1ud&cR=`a}ieUVI;VyzOd_aW6hdcf%TJe@=y&k;$7g z-X%$N&r!|)NWZ`YOHr*S8Ka1P7K(?6eb)X0VadQbInp1(!xcma1jLL#eysC9#ee9c zMkINcg>7sck~A;n9~cV-qzb^0h9(aWLRvV2+N1#{W!eJS5x#Dl75OM6bxST~yz?YS z&qnk{3{s2WMbG@Vo538S?e0j>lm(A8pNc`Kt(6=uiJ@4J`zdBreC*j+wEognW%6v7U>;88kOA__>Dc3 zD$yWvYSL3|a)|peL^@z~LfX&6J6!|IQhpfm(w9tx2g;a!)@o&z!xFbiy6H*}#EE5P zeuMPy)XB)(-1!GPsl7TVHK=nMUmka2qznM@)O=bJZFxM&icoObP|)H4xVS%M3fsAm zEJNH!Vjjzz^|$WWJ-Abu{85+rcTRb8`VZ=GN9N;T8(Ta3Xr4!4&vwr@*^hBFe=V(Je|Td4)(Nq}Zg>wsl7}Wwg_Y#`XUZ^lf(_3n*AJA2^a;cJm4)nB zDQkshJ{_Y3tTgeSM9CwkpoA|~zNF(otiLvp#SF+*#&&>s3R3N`>s^z>7->^S9zT~1 z9Uo;e2E#UiU68sI;uAB5#KIwl^@TWDNVqY*IncjZ-XA&=YPX*#(s$W9l0&%N{hJWB zH?(l3=_*Q@LgE%;gEjkCTlj`Gu8jc>CA^*$QLJj7C8d990SjpvbK;Q8Bh=^1g~FVQ z$TZDw_dU6sCXW?)4BlMK4!+{nXULhvxU0_!R1^Ya{mD*>pg>?_xBuo_xYSHV=BiKb zI&IrE-D@#YSvCa^90NVoxV2x`3CsC1bXyauzXTzP3(KesGK51T{?jsO_hO)l$svnD z`qWJh=^L75gU8nS)w5ZBigzCm+P_?Jd}|RiNWmQeRN_9Bv@N`a!>(pUk~TNPinGVi zDp<&ZxOXk<`EtjvQxB@hB$cMI?se$sah)_{yrG*h?nL4ExTQ|%j9*NIuAAsTR7@lp zanggPC;Lap9n$Y*_$CTT#xWWj5(}7+Zt*1u=Q}S(=Gx!mA=&yKl64Yucf;wBSs2L9 zM1D~f%K1qaeGpp}nnk)3c0gNvGrG}>N>blqR56RI%NYBvZ$ zdJ;i4dgRI~y>J?(?^EM0Dep(BFShbF7kH}r8&wL#S{x&T^G__X_E2!gDS;S{2axmhb(2L5kbcN@hMjtwV`fCipx8=DEs~WW2KJVv7EQ3j_ zU6%r&;1B>9@X)ZRh+`_~mbRDh;d!JgM!FH7L0%$C0Nn(qGw>tWbztf7(U)T z)sl&)#6cTcT8s9daygf6%P6cM2%G*EaXI1Ac?(wUXbk@g!s~cK$}AB2 zLBHp-{A%_M2RuxIr@N7>HaNx6vt{q&8O9HOyWtZDjxzq@)b99L2v5nt%n)pkPP+c5 zHv8v5%4;Iog$FtW3An~!Vw3qrC7T)^(legF4_28VnoA`LL26mRoEc&XiJATY$!|$x zXgG_+Kd#B( zP;i?7=w2Aua0tJkvDa}!i+>_+0=C-bPv!`Izl_!@*+NX|aDwGqlh-y>2}QH{suC5$ z06+?Xa3}x~4;ozs7NRUncpf5zLn(%uNhR@rPnM4Jli}9MypQVE$MX5wQ5zVYa(rfs zX#j=P3k4evF@r%@fw#2%1TjO=58Tq5hqt_$B7NpepJYLVnKie>iPQs zf0ML?aWjP8p368nlxq*FkmyNMXC5Tg!9@<-j3$p4#V`ih+A4!ncHzVu3|-(5?%9Vs zvYwpf%)`6PKQZ6RZZIG8RFk+Cu19;(B;mhXv(S)68UawQ6AE>5`DZ#RI>i!C2*+Hl zA*GOpQgDu5k(xO2gq)6Pct%H+rKEU=ewM-pHC<)GBs?o><&b~0`5ps%jT%U+Jhh@hpoWJal!y}K_f|;F5BloyIbz1-sjb=~D z2;HQJSarSCOdMoZn8?&WR=6q~8Eaq2AO|*eB$8u?sa7NlPt*hjQE|zBgQJvWOe`@l zUB#ckp<6z}qA#r|Ij>anq~VJQJSD@>B0G`%3qt@5NYjiDO7;kUgTb5}1Cg10=!jf5 z{p4)00hp$L4#1R|bzXBPhFcTWP*#=ZK&0lviMFRFUDps&t|(|2CSp!D3;@O?!iD`H z8uWSI28|Mx{%FWPoFYGdOZV01WGtD*Q9>o0xJanuZ$YO5#6ViI4Sc|O9IULORDp*n z`aJ2doNeC*41HR2DH;>Atqw6m-6(+dE_Q|*f!5M0j=Z2msnXwjIf?ull@)jHhWZ`` zEk>9H4$Vu?$#;=Baqv^?;Tw!)qKRJ?_a6id@ILOpcR2W|YMm3Mvg%D(ppU1I6as+5 zg49ZQYnw;0YyA*Ge{UV|%Xp8Iq9#o))z4t6I&=i{!ZL2BYj-#ODTr}m4rWcxAC zsSDsHBq|`7^`|^zJ2$+`5HD$z8(;Q;OlL?ynFgT0{g~0&?o9UA&s#IqB;pQ9T-M0p zVQR5&5|vwM9DrEASfpdhd#N==G}}oG=~c$^5b+dlA?~^j`r)I{{|NX^(AmlEq|hu; zDoro`{SFJ1MfwM`6Fm;bD^j8H_5YAwHkq(F4uyKXh_ijU# z5VVRhWyd~ftW-EjF61~x98v?w8aqgM3Yrj}(@Wykn6g>N5G51b#!FlV_7uQle)B0B zyI?^IyPBmC3kb}H0!jp6e1kAd@vl#W}9O!QpDVtwr? zK)?+1X&i%gv<*xB6$D3ZSq2gF6w?^64dwU8t0}bleA^HX0hvZJDEa;x8SNs`Kmpkl z;X%TUu-b6R0aA7UnsZ$_v=Gn0MZN-0jM8U>khxXkI55X3@eXWHLj zSWZl+KE|h`$|;!{e9%_i5++S$`J_0qt9EAtY44ux2&|ZpDt|d~%>w zdJK6S+zVM}C#+8A+4+lPC5{i5u)(_NDkh|0UVG%cT z4I;*0L!+!fM)kWwYmI*r(qkTXKXUNaz|YuV{4`97B+uu(jLnzFR?WONA|ob{HBgG{ zeYCwesX@33>23HPYOyyhxoZb({C6UMcHfvW)s=(lw)M0OV+pvPYHjiPB*f$Qi8DVg z4>;Oj&K<%z5HC7wX*9s`>MEQWn~5?#oj}Zb>BpMy!_?!PnNXD}!AhG~UaJ`VZS+)Si(%IpW%VR1 z%)5>SdQmRjVaYFSfLdr$cRnvhly1gjkd_fg-kJmfi3>Xk{0RWehmP6$uIEdrL)+1n zqvGtFlBujzl^?Tc(?Vi`t9~QFcyT`{wSCj1B3|;Nz*;6sG;H#1$Hg&g2lTgv9~3}I z&%U?)`3ckoLcjcNm60Ozgdi#1J>>hH0`=PjOFxH0ge_*nf{yRX+o~@rUmz5<;nerv z7)o-NDMe&h2b$%QFWA#37*hqFqm9+wi)UluH)pUFy$aExcIej*YI2eVghFSE$A71< zr95Ojx!Vrgz%o(%4;gyFyf7Aiio_Rk5iHTX6b`HuEO>B+hUKH^T1q1*!g&6H|G?89 z`ic)oUfhDprh!SyJb_{Na>OIbq=lK)5Q@VAE;B?MO@(~z5FjyU;kH|vspZ;@yX4@t z=?lb2&s#rb29XvJPFZ`AL44g6C8SRCw;SEGkY-f$4m(6ilvbpY5}BH*Ce(HoppbNC z=5GCcVgZ?34Df^$A#;lyGKVJ^Kv{q{bcDC|HrU8M!eGy1T5ix?)ONGFLf8+v-%zq=Bu%!As2%46!#|)Nl}x$cHZ>de5Fi#FSW= zxdv%Re*gpu(tdV0_}k6#6ChQOWQuQ6lxvQxzTL6w@L>&&Y)ML|Wf*nW|Ly%Y!HIHb zR$#S>Fu-FU3Jw+u2?>hT&7(u&mH^TRp_Z%(*4@+JtU}2KyZ{UH%K$V0ykPwWI4>wI z?h$h_DE~kJ6aWSa8XgK3+dsJ}+`ev{0E$@{PTv%U^f_xKM^NX9&fxdU&(*c)5FMH9 z4p?I>4>Z7dkv#$|778LF9%Kk3B`py8^JJqbVg+hm?#yKlHWA9P7{wZ?>9@1w_KfW} zr7a5h#VPyQBKth}N}7MiU>&Xge8pn3PtJ95Lq`_t(Nt)|C8|-%oja*GXn3k%poOZ+T|W%D$*nk0G3$lMzs&%Gw60wa(aT?x~ese0AuH z%IKigkH{VbjSF=8V&AvX(6a@IB!)Q@Tg`f+cmaW|&_FX-j1ffg`0vS!-q6`J?~^ij zFj*0@Hxa}I^eOLpJb;7L=p>y#vA03U{|3N6%AQ6yLD@73%dnL$LxdWZ$eo2hnzrxn z(j;(im6$2%AF;BrO>>gI#1oGTbyWBV83BNO&@taW4%_?;7{@}ERdfqW<{w|1Ezs@xE#&2egWZL7;C;a3U9hPyx~#Dk4XXut1hKSEPgoHl2mzkoN^#3q44G z;{Xmo15n>e3V zzT|w_HYvhN5$}NjF$2r{k19BSJ8EW7<=>7f*WB(t08LpyKSW5MkPw+rdK@K-gORcE zVrj@S&>gB_uG3%yKpKH2Plc1FMvi92p*44c`v=1$!#_Bc7YJ4}vwyEL(^8-oXHQbJ zw)%?8K*BI0Gf=wtFBXea{1=NM|HEP~+65j`xPyrvtqh-8Cwnf2Eeu&Kd%F!Y7?tC- z7HgXQ1FNkddAd#tq(-=V4^hQhCe9N2750B2aobXrU}aGLwwobFs1lSww=iAr+jK+( zMM&BD-=j$i<$po6E>~RLv)*S`(MhW%TLnUKz#Te537#9_Ul0<4Q1?F|^bG<+UAE9t zZ%jd;L6h%&6tl9R!BbXpP&TwI;SINlOz)5P{l5Q!-uD0qdNT_zqgm=+i272(fwO&uTfQ=tp7eQ(@GjYzNHJ?7FGh8{`$?IY4(y z4W58lrP!%<86L6R~NL$RH^oy34pWy};6 z?@v^(w_VbkfRpAqzwiP4v`NO}o2s4sk8$ps3DWmn>cn&Yr3H51Us@O&;2w=T=>_x=*CmdpE} zX1^h3=9~fOADqw|yKp@#DEP|np(w}`Z)^%*c#3|*nq(MPKZTRW;>1}KC^A!%>MIJh zXZZ&SD+#CQ>+=OeW9C$0QCp@1ceV?C(FE8N^tZGl*>4ya#FcB`=9&anj&f*)jm)B7 zW+7rJj>$7pXQh2s?CgL{ruvYpCL}16Nem1C(&Di`+I|;cxW1TU$LZXPA47Ed+C$Am zVwiQk7YX<8)5b6Zhi}(^<)JPE@vqOUnoFCF*qY7!T5TCHIi^$3x1VeGAoJ7!G)3H> zT>K}JD!)XXYW^udtZ7mG+e&)BJdD;qiOtu0Go@>UBe5Qb`4u8hr^FZe;L@tti!=YL zriXt=YGhP#&!l(#(Md`D*h5v$s1jJP^uqqtTaH&36Ax{46NBdsevQSu>fv{GT0OrRV<7|1np()4!`^_m~{0K4ktSWjw6-S1;jogkE3Fv|ApetLjN3PC8rd6eYRX^Och#FSK13{ z=azPt2yl`NmlA~HewN#CU*}qFy(!Vj3i=wED3%QzXR-fPNs66XlDLq>-`kK6z;5MT4n$V3N@V|7DH z8;<3TF`3Ur!pSA5lRbex=l93Uc~WH$ziMe~?)351;m==^pjf}?mp2<(rF7<(AI^>M(_wfTo|%7rPM5a+k2{V_CSSaff&j9L zZ9Kchhd#pn%WjlSR3y=toj+W6^GsZ2 zH~nH&=9Ja1O8f7WJq%(_)-61tj6TlX`9ZXGZaxeu9X}#fFG_Sz{mvEc$mB3*hERgG z>smmhvmz|a)0pYsY~&9a4qn7eAmq$Cw>PZj4?Iv~uCfVUba%@0w!X%2bEBgS(f{!HN>k zRv95KLeoYjU@$kw{ZA9=MB1#u^*1bQczdO50}T) z8$1(bx|f1h<6?L1jF4pJnIBr>P`xl0NJpG0DgD zmygOQ!~R6iXd57TjZR5%|K<0<`vXsBodUBEjp9G-O3=~ek4>r1{GZ5?JX7uV&{K#*Ed<0@_!gF&jgYl3yjrvDqbeD<**r|_BAB0v)WhH$U zh5&={T7qjb$~4l|*IgkD>b*a?_eG6o9L1eJ;vnwhDDZDF8R=YQGHi{&pbx=74Z%Q9 z!H^Dtp>3}H-46g9=xv*qb&S6ax=w^&T$QC2&)0^o%K3ot7Y5G3i5J3){b>lKNeEC$ z2(SeRLP-d43k!hrDH!Wa&+_#i(d4(?VAjd5N_v9}W}dDs13kv-_;APX0y;Ys|88Um zG3v5~i9zEz>Jiz=-KH#K)|pLP6#Uh zf7<)&u&UOtZ5Up3Nl6JvN`s^zB_JUpB@NODg3=)k3lIbWrIaoKK|(;fQv{@ylJ4&A z_09#TfbqNU`?;U@{p0)CL-umdIjVWqb$9MusXm4-%MgeFvkCi)&tC>#x;gxB(!{TwXU zea&8rB306;k7e1ItIQ&6dJYZb#YKG%P1DTaXWk|st}W9Q!fI{&$7X{(_+%-7hwB}XmRu%&%OOd9`VU^R(Te;_v!gm@dEb)Vdh{2 zJRR=Gf55|%wFVYzUGw}J?U%TY^+Q#wgi=$R25TgOTSjd~>mc}b5NO>Ev zC69Fk7KzDqmGp_W9jV4{VyZ3YlPJtYgtFI|eH=^tplW_l6+gMqEl>?VU3)jOPYS6H zT-P&n7SgqTM(;8`o1?~C+vJ>-jw^~;;%MRg3&x&X{<(4F>zB{r#Mu$TYlbCz3qa}S zZSSx>p($#^M}pWrbHUF$U}(_y6;w?LuaW3A4atD2Lk)O7r@w))IbGgTye-^|_6kLp zVdG)nWtd@)G&l6l*V&_YUrgG1hCMNS#Mf~>!?t0&Y(}{MbIfVnpauk>j~ze@f=PTy z_NYY=86;Ri)v(!%f1@*|=H8x`wIyP6TwYnU<{B)@9Mttt8><0X2W2)nlU!-j7(w(! zBf}sFkY}L5ap=&%4(svr^EG|P4Hs(W@xFcNTj>iCExQ;p*QrIYpv5%}1QV}xkZ0n88}_g&)PWE8NwtYc+P!?gxICzWbm`gv^o{-?+YMhA6A^6^Bks(8jlY z{=oO?AE?~;E!@;cjw8lNZ>u%40z!jL`i%Yz95V$YShN(6f?my)n z?Q4T}o0KJyxNPEffBk#nuG5?Z4IKMgvxR%xX_u!Ha-i{R3WkEB~$4;MbkmQ%+04SA|&VL4aA%yRp)v=GDQCJ+=b42$vXxe$YcBmYx(V z;w#hcn@cZ0vlI69;4O+K!lgcjgXe$;0d^A}nIlO^U4cB7sLxa=nS~^lQ!KW|y>cF( ze)KuNP(OC#+pvOUe++hs?_1Yc`m9=M`I_|PfYhvh+RmLOdIL2^kBpsRmF?=~s$SYdxP7F@r)FdInym<%h2xS~`7@#FYJn?-v~9zRJm} zt_A*HP9OpqABJFF;k}s`truGN0E24cm5?blHboc-cD!GHQrnBtThp?$0hsEj?@$jW zYuEh+V~P)+R*ijIEL`SU`1WpqTejz>t4Bv%ZpO7WM{NQh|K(`?ml#~{z7Ca-gdpZfIv z5X-#ZXXSNMoSVf`7VK7*Oae5MwMOhA-iK80G#^XJhabk(tGdxHxo5vozbu?}drWzz z_N$K~X1BmiX_Py;&Tcz%)z5E{EzLV^FI5vZc?TR(r}T8((^`u!pZKBrfB{eI<^vUtB&kL=$1hX{2WD$1tNg1jT{Je=5J1cb zSjQH~Am-h#r`u7nBEp-%E zJJXXNibSnli<(uTIdo!*^t=Pg7(S08pf1N~`$AD)6g$tG_-1@@_wnpfhSx%Z%~KZ{v~+9ov1}UJDfx)=0XlorEfHk!p^CULPwHfk$q;Mc3z- zsYnv9OA&rFWgN;2h^}*=0eQ@V+>R}Nu6;Cg!?lmsFB`fgdB-_Scxwt^QuU58qrB}RDy)fCt<2C);&nGG#zh@2(}wvV zbEAUKJ!dD1C*)0KC=$lt3l{_y++e&>u6K1tL@bZnnXOY`kTYSh0855(O9McrM=`(5 zQcf3@ifhE#J0&8r>sRXS^1R1bu1lbOg=?=`k|@u8;4#R<7~~1qV^I8)_R#_zRhu|; z)I1`S^|!ieb;G&UgdebTzREfEZE*EfC+TWa<$?VvgVr=@sL6{Eg#Zgj1f?O86x8D0 z#BLSYcvC^ugy<8{IN=Z3vS-1y@|lmMv?ULflpWL)ukWAP4Sw!o+D>EnNJO(|a$q8Z zR9}+-zQGz5nH6D$It|uXKPp|OVpjm?MnwyJe;K`N>7?Jhprh*KqkuPFA9G})N0M_` zOUfk?^KK0gf;lZhOMHLSSLxClgxNPb zo>G%g%>-ZfX{T1ldfT&sMNetcD^C$~6DXk4qB_plqqVW9YbE9m>`&OOxp+s+^FQ0k zDBo!dyZlf+4%77VbQiTA0P~Ps=%%`qkO6#&2`-e)QbF3U@se?HDzICKRdf)J%HiwPz*l?xjhzg zdji1te*ASxthO6M&RsgSZz*176IhEUdu<^!KiqiUSW{tQ#6f6~D05$k6%E9ShI}8* zjTH?wPYiA>0>LK>-=^2^b9j6jqG8@-(PFUf4Ihcx3K=7D!p6Xgx1A{DGxE$n?e8=$ z3oBJ2vEiZS<-?9ep!&%2F>Llf5A(e1--&AY=uTC?L6b*&shgf^@<8qi#!5!OPN;Lsbk*VS@K_b|!}Jbix0Kd@qSoypK?4Z%%lhhqOMU)d z#BESK;BUeZkJ4bhr2*;E;Lbcjc9nYsJC=?@qGf!y_<>&B=u7X;Km)?yBt4r~5_JX7 z2lBh3t(7$A5KwYD(O@TZpTXZpU*QZ#G=32kb!7)z3ht8%I#(H$sGcjv{-s&1wzv-) zL_s$iYmB&9)Y_M93}KKT!GIpYz&wG$dUV@8^T7Z`teV@7jc4T~n>dfzxImE1B`e`K znQ%Vv;?57AkT#YDd|nBLU8J%@b<;rw>7Zi8qk?o%ag7+^K5-ymY2)=;(AoRJntZ5p zFd4UvrK)kVzZb!}R|k*}QC@ZQJNIUBAy#w{D?0LhbT?Ljs|;YqA`pGDh-~cX(L|qd zbUd(WWOc08*VV?$bMV){YiJr*Pl8-hgF(453oAO)AMC@5(>-JR2Bw0J17@|$6WvL; z>OpiYR%>rkCqyEBTmWE327nn;K^}l?J+V{(RhU?9ibBpxy0z+ftx|Z41_ApsNGz%C zh*l}E$eFNMCzdSiULYmJuK=^EYtNyynPNbheq!3`jTKB+Sn1ddfyZ)gXTzInWRjE1n38g6LAV z|6N*6ZKTgQ=vTCF>|`5yW>|*`jMod+^7(`jIOrGCe-G#&NcQgyUEt8kx~(o9RRIt* zV8=|2P(l=BcTH36$mxpCs?sx4fg5GXskd)%C*pi-$GW+{a(&C}&LmB- zb!V4v2eKCX+n90ZN1@>$k0_AmiA4bY9s&Mvl-o`u1=j*j*Z3?VScmCVvGFR1FCFhX zKsXeM*UKiv_8Vdd$cqSsPAr@Np$}GXwVc2wK*XMOYI$6@)-UX}zI=U51cTWMu5Oaz z8oT4C2?M5(80{WrN&HE%cck4WLyH24jn~MFScFb2oCU$;FLYxav^smm4~aNbNx!YmEUEe~%C(R%4qk_b%UXrnx5jytD@&;+ zFNGgI&xj3NVsRzCd!OD1iyqm6z5$n>Yd{ItpGKaw;_fP-aa9Z=nqPmdAYT!PYEPL+U8n6jBpF}Bj=L%ZaAQo7k$@? zX&GyTYEyu>WkOe-snv~>>=7QXpvKqRPAXA#GkuIc?Tp?&?c%Z6sig6BGWDyBF49xF z1dzqmn{D3Xvm~T3FC{6N>k4T74q|irrVx_1JM6TA6J9=1d_{R)q?UfMT-sS1zejr; zj0snQx>U<77Rz>5d(_aZ=GN7DD++p^JD3stCMtf8vM)`eg`KQGReb=C4oi%Ips6w~z+dIuP*c+p_wMx-5G$!nObP7nIMUcuN`708^VR}v@beDgWT{@| zCCo)0J0iCcBG4!iNS6rop2((%5vzi@9Py<&plUUr4PZ#oh9*=K#sq4S$~KWbkRrMx zVlVN`Hjocp$O7HX0$L+Lis-xpcqqHIC{1x0ipx`OoYNb{Nd)?nb(@(^Iw{9$3GV4Ovv-qp;WaTNyI5kS=%)TrjYd*s2vOVKzc zCoc6sqIw3Ng}%MpQs%Dcg8A6H4oKfJyU2&q&aO~V#FsV@!og)qm~*Zvc&Du zB$24P7!2}o4A6ZrdHwG zU*V9a;6TUbHYeiUPYKhJaaYJ$YH8YB+t(ArDJYQe2|Xy5thE<`j-JYLm7o5~qLzF% z%jG_@*4Pqeoedax&9?~HCBkTw8~4a5l{}y3^vxx~?LO7Hf%DOi0Gn&!MRn+#NGU1B z$_H;JAKJKuWf(OT<-)=j!Xh8r-TZ`F(@i&{M+jpfN+0!VbtjdH`3y7Mvf^OBTY@Wk zwT!E*O5f>=Q-*tcvSOm>l3otJwPT^cK7gfR~ipLx0e>!Zh(CvjU65j00$&%?W_z0F$mu@UsdwNXmg|x z-1>B|W7wQLHjYBdv*25Q=&#s+iEdmmTypwEHD*KTJlONjw2n zM}w-O$%SG-HPLkK%IH3ZGUOG!9lBXW51-$Y-Z}h^ZOT5e`n^KN|A_zUhw434_c5s3kh`*a)|sC&J!g!g8@pm4bX6 zjCEP~ilxJuw!?;1U$rL0a|ND;guFL~p8RSD!c4(eB3kMRsj#!ga)18}-dEA+^P3EK z*N^hXoKoif(1>pTj@Uz(;+MAUlV1v6$HA=oG$mSCW=$M0jEV9oM)jQSL`ufowS#%w zcYv&M+$xpqdj?q-)2= z@G)c{uSf$b2)BO07lPCU)#eg5{2KKv;sQeUlKLbAZPC0z|4S0<$wn{{*fUHPBAuldjrGyZZWfm>B|m41l8ZK(|4f)&wkREKwEy^x7Y~dZ zV0&$fA$=uK)7a*BhF0GSg z`Dz@tp4Qk)m^m=*gBtQEt%F5N{w?|xvzXfm18DTvbQyro%%^S}8l-I9Eb@dgK?!V3 zR+hu`hjtQ8W0RFRGq26=X6DR_f2D7Epg?_A1V@Uce97#bgI(*=bhji%vGHza91wBniZ|~K0apajGkl8L~9PeJOf+eyD~++ zJfuMfkcSh<(*YE}3X<9cO1F!<(bR4CZlGJ@FDuKqes52JvJNi!^-|Zwet2NcYZvbX zlG(BxF&cXEB3z+xTo4g`Rnjx^kk=T6*HJ||=&`gzM7+(j3VC4Oaoy$TPBbQ9R+(kv z5H$(P{(x&(l>wK-O)T>^Zp{vC;D@6#Uq@GHY^m~qS|i@!{O*siI_nKtEaho>-mE&iP2c!7s;IHDrPi3=E12J3 zhTWl81;g~#G*6e6-Uy}Jd%w~F@ij41iaKKVJ+nuB!bALj8>~u;k&epc6}jB{7>v5amE9wQqzawnbo(E$nxFvIbhG0FSXS z-~Iyjns`l?C|yP+zW*iWDtY)-(21p81)f6`<>0|0^Ikew^t(!o!2?knTmglwGjUCC z#5()ivhDU35I?+66Qy>u!5IO59R_r4LYr@EO&i^err^fXF-c;n$7z-q+iK_6-*70i z>x=onpn^-hDTTO&Clb}@@b;#*U(i={c=au6iZYv8#oDm_6X0_T3G>%MBT@4mY6=om$P8D>KS)pX;-F zpLk*d-MqPEfAkH)t`*8<#`+#WL_0<1=&Iun<;A_s31k)q4+V`7>0CRR@gsPeZD)Kq zff0R&TH-Nl)mS>>p$!ZA!{V&>Wtr84*U=Mn9o~~a1{#O2*&oo&yGI=T9w<8&Uz1aD zlmIzsz!X;DR)xJs%|JI>3fQ08mvY-lt9pJNNB>>e7mO3YazJ)L(9Ri zruc@MJ0vh`^iU-HFAVE$mFq!sQKZBuZ+>A|y8X>V?5_M}*sJ~VX z> z$Jgd~am93q8oQ5RNfcBq2C6x>%T6X&Af{$dY!U09FHgBu!YRDsPbhfD|Kr{ zf)OSm9(86)w4mx^R<{vl(CD$HD%%u&V8m+45OM}|xt5APVrfswn146kt^$#!fnerV zzhPBb(Dn4~x)-?)LLM0#9w4<@YM6yZNzsOD#)ztBNjyjMuU0?7ekMQ@Fe$cla@o5p z=t%~-ROv!%EO)EcAFnU_{nfB0uaTeU+AtrMgjz$0`50Z)K5u0^W}5# z@VaD9r`t{>5g?EC);_Ll?fX!3gc@Kdu=^`>sP*Feia33v!|j5_YK8?h!@_pLk~e$6 zYDP4a25kuk!;GaPkZiG2;B>C>CmUPbY4Vi1zY=bA3#7mF=r1km*C z0!`1Fr0{!!9dhU)u7wbP6NXQgmI-&xcriYP;YQNEvb^o(R~@&3LVDd$N}ira3;|06 zfm{QDQW1e%$_v)HB8&)QRjQ6zYt9Rug&~+Zm7q1;chxQ{lGvf%h?pg{UBLRsi6VB| z$%*2l;}gYMRzFl?TRbb?H#Gcmqs`5}-JfQzhrDoUX@7L%$sK7_@*)(WA{5d0C_>>V z2z@0mtIhDARB(99I$t__YfEu+%p)=ted~GI!9>FXGzx>0&4C9+rBcd5f$y}i$T5kj z+<4tFb!Bjkj1fO^&|+!F^ky5@6Bip9lzxnsFR#IgTlJHfR!LMUn-F!9+$~#Wx~h&K z!Cb~thx_qUT{jfq;_CYj2U5ig6v!HSB& zh9iplAi|Z@xUY)BeGcnf8EwB$kQmv_bhXk+dqKdl?lni++Z}A$KG!cdi5hFq zwl!}8%ZO7iL*7Ul8+xcaKTW93^(+hGBP&1wC)qMRBQAFYnj%>m^!_x<9>g1u-oFly zv!j}Mz~a+xh>i8uT$!>)QHX`adt{-#;wyo{?D2`MljBv{LK{}s1CB?NSa`bpsaMd) zsqy-BmlQ$gR4bl8-zN^d(j7oV?Mqu0ujLJ_7Cd)m=Tf*8yY%)(>Xln#z*CABpTb9n zYFz=0QHO9bU@ql`+9vvSD#mCwyd3z;{38P~vV-Ea;bjYc&uzn%FHbl#P`__h7P4S* zJ26%k)I2XhXA=N;v$3bYI_Vlh;-_}=Gs$`~S!IALTSRXUx+&{55j`S)Ft;8oa!xlI z?8I9H_#%WItVg$DnqKv~WC86K6OiLNwXr12vgVd4HM9(dH~1!)^ovWvY0^5Ffa)?h z2~-z=AT>_Sn*XZ8Qox2oi=naKM4z2>lNJQ&vU}X0sg;?8ZuX=jS z-1p$PSM4#$9&H!OsV4kpp$=h{{>u8GCP`PDG|$_A?LIB_`6s@DPP$uOe#vK2_flo< zad9Vxz0-$DyH@awh*YJ2kwd7@6r5eaEaU~R`2k462WUV-QHpxOXu7P}SGt9`-UlyV zA@g35+F#~bAf&)-`|PEfj#+_H*}{M}m(iB*BC08?b!R^O>qGTivOeRbGEj9nsOH4V zfQViielyg>tX0-)VLzJ*Dxt#6Rv7TkSo!$higjJ&t(U;TQuD(CrjB(!?k01{=|hP2k6zY2KV!hffsmT4-luFQH)pHYMq9 z#>sGykkola2P%&%KHQ<6pD)j}R^cHiXldzsUxG`7ZXll@*OvzuGhO{uHw+2OMwdXe zVN(=-r-r#9sqv_7@Oi%@+;H&jeYfejW@9dQhnNt7>mzF&d-tQR!_DtWorNs4iFneX368I<3np|o zLc;is;7Zm(@Mm9J*bUg9KLQjEfCW+$ZvL`QZ|GT=Tct27rCxPt($M#7O}<^6Sx{>5 zM}QB5MGk=#x`q%AJ&Juqy)3@BDOu;ebAw6VW`_o;DfpTo^*)ZjEpG7D<>h&V&vcUX z3U{(1k`|hLxKe`Xa|L1q1KRfCKqc*HlpAZ5lpDp5MbmKS6QXVkvPK%9eo~?5T8N-D zMH?UwfLnSz4im(+vSYR&#D1f%UGjOJ`QQ~;H)2@NW23TN;ir_Jd0O;=9;@ZjZD&sX zTC%-9nn*qBVf>@ z$2YIb$Y#lX5q)H96K;DON(3RYxge~L_`kt*FtKUfy0qq*YD1OuR$L4Ah%*j?qTBx~2&6m@VZ{ zrs^9PjQnhKuuUyo+U!tQ$oy#?16~sb5nC%wm$4ZJ)a8z$PSnY++p&jcfI(ito2@JP z>?5qyERzX~c_?Ddr=GiBjyAzzOh)s?xghvL5Heu7AfbGqTeHlb8G`+!g2r_fKXzV! z!e9Chi)>ak6?!5bpdXy-V-U~1wqR!LA+}9qyDFb(%6(%Z1$iQ)3m~icW#RGwSC+@U zJ@BSji8P|I4g^T>Js@PjzJY|gpvSpxMqISFom&t|wo1quWk_a)d=L#6*8B!^0vynC zN1ttc?f+_l*pM2#9siW`3RS}sR^&j#D_G>HSahf+MT}^qgO32IgdkuNL7raCWSsT= z`uhLmUs8^YIXp2e+my1;?G``X=dWE%P_n%eT&aX#`+*d(O3s69k+=qM_RKGk`^#j-*Cy;7@^sik(b^8RMUSqy z3<9zjxm6Nh6dp?hp8Uj=JTVHN!X!i>`(zR7)>2SX2yU;Be0hgiX$IprknDNoaF`l1 zb(HG3#UDMkR8pI8NIW$Kd89*coun{8;64)dO}W=1F>|&$*68l8v6hrh=xP(^k@)uo z3LLHKudLY?9unI}{?kKb-s8MsW#1?b<9n^oW1gn>eNgXi-T z=E1u1fQ|)CptO$uD6O!HC#5wND6PQU=F&HMEsWl?z)3xNG80SYi6Z%RIuZw6)hvF( zP)YztE`}er2s6k->A zeE=Rxe}S{e`k|TijL5!0owRW0DeUTF)##b*Fsz8o(9QgOPxwS?(IJp_*}Kjwng(C9 z(}@BM=dF|qaZ|#P+hoH!K^`BbgRu%?CGWh49zY4h>^n?<2@*(uwg;eePd(W4(^rtNU_2VtxBsF8(Ku z>sZ#m;ab`rO)L~Klb-21-x@Q+q4UCE$o=F%*={B=NBB3 z07Jt^T|1NCyJoJ2gt?$}C|kEG8C(ym=fHY;Jq*6H9)(>frpg=eQr;w>v2c8{WK6if zj^Fj~#55dRm~(J3%PsaevL}_Epr-A6x)go>guNRBdcrP1VjhuW!W}(PC|CD_W0WeB zIho#g<7L_W0YP=SB=WH?R}k?IyByrcM$H)=K|PWG&7!m~Bo0PW zHWsZn<+V8*A4)+ukOXi@D7sm4G@kFX&A%#P93+S$d?vsXSeT_?G^L%YuN=4XE#=Sm z&h0eKdrg0>0O8y=F(zZGMH1egt@2SJhUph6LcfYz#+rz@T#6O47>< zlBg??8OU4q=fzepu!Td(gys4rk-Jb25~L75^<=b(>BFPLSr{W+XG>@_f!Nq611x?e zejx?1P-iu>1X|ieYoK>gZ{co{)>b(UAgJmjfcTil0bERKR^_@XW5y{P9YGYz%=Y+7 z%NR9!pXSny^KUgkPpyHnkx>0SL*Fg5^p8xAhhI#sBRoYrosjQK;fI6nmi;9-T znkvu+X2gFifvlcHO`(C{j0JsFgq}$YoB?u z%Yg?jiLA5iH4W8La&H97DxoQk(Zs<>D}9rxm#Zh$!c16Jh9*bNm=Yk-1vQhS%4=LlJ6w^Ism}IG_r63{ zVnFMO!`ALcex+h-qXvzjCm~{qB<1oRTJjL}PQH+L$GZ7j7{+jhXxW!}qyBfclq2m@L6x)E zDZLV3j6_3To2suT#28Z{DNnW`!J51b^K6$4F2dUydD?gHjo$TweA^vPv3q?1ybo_X z2Q$c<^oESvGZ@bya2RGxV!orsOvEXlxUJsv5(!jD+GUlI&!MvlVlU{r z#{(BSp=x$T-IiP~%)x}WKj0nlTLdEPWS9au&KV1J45pIuNaMKSM;@j_9HWG?3RLJ< z!}E32f*E+OxQtRG_1$ev2ebj!01P=`Clb1!%|AD2-J6p7dx8@ZmbT$FVlJeIUNL&r zL66_6D~?k1OtL)4ZnX|U5wbvYJN|AAq=?3Ag8$X|8a`7=A&_ZUO`iI-y1Hr>L$p+e z84OJ&{ViVouL%=JB_lqTciuqkS#sA$#2P>$2do(d)b#?RPz*NVd&E~}EkI!qpfvg$ zynJLg=8yLxY-`!@)&xm@g041|JWk2L{S8VOQOz|mL5_Q$a+te|y}&Yn%gE%QhppsH zC9-HfS&wyVL-BJanyx>|X0-VHb*vn?eWTV|o@|tcZ z3FPuJZ}k_q_$%wlhJ{r~StAvV0Dw&i&m~Q!7JQZ1rzs0L3Kaj^Ll7~>N6VOaSgJ3! zU*}-(OcloC__bWXsJ7Za%vh+fO|%jnls$12a?aPQwVG&C|3_<`cNmx@IS6OP~e31!66{?Kconi{4>E&hD>vDlowl!?Tr8I%woQw54J zx%gD_^Y0Rew;gE*lwISz1$0igY>{j%c(pgggnDp z;~B4Bk(JVMZp0wlS_tgX|0=diHmo2R6x;8;xkQJVM-$38{SN=F~ce?guJ?H5Z^=icbXIYeh)~8c?2~TLAUX3ZoBbo2ZGXI1fVZn zf516@>AD4(c+213DJ{UE*Q}YBf;QLmj(_M%FybPG-G$d+i~&uLj-|~B^gZ@3c87DT zBY4>I35)|exU{|o?kNVNpMS}B^YkTO6Yd+Y4dThBKfY{|wL0pn@B{lZvjUwuk}0vF z3;D%4;D9+w?NiZt`HgG)_Y5!HB94B+HKroz-5{k9y@2Mm704#?ZeB;8&Mls?gj_g| zL&&p&=mqk+-eIPe^u5guMi;p$gfU~sUW+90-F})Q!dzAU*wB1s`4-X`oqGZ0sHP;7 ztp1W)CNbBFktzo8&V6f+hWLpC4+{w1N&@9pI>n49|X&~G;@Saj|QN2eM zJux3txRM0-)f1Ioroa}FI_9&eqdXwa7@ni2exucGQtPJN+rf9vFM@8KO6@wx^und! zdDYN~61)ifcE=m3WYzA7u*h!C{q0ExL`GltZx(B}QGQv6M^y%k=GHQS>aSfh*SIXy z9h{1*w(=dVKGS2{&ba#EV0n2y3sPoruwUuYFEbAo=*}Q`l_Cp9`l?J&$ucl!m=Pgs4s9WyPr-opB1px zj#fhpx%E-&JA^+_tHaG|53=@w#x=kpoyI}IQ7PmBTUQdk6lW@ewe*ul#So^Qg|6{s zN7pooTWygUl>$!^AjSI$H1%-cCsupKW5AQ*z?1#zz2C}Kda>tze|*CrDK_qjd|NIs zxh&`C_oo@V3eROL`yu9)>H}Xa4%veX!{)_=Yw-foAF#c7i!WvH9>JOrc=kC{xHjxi zrC^zC*7K;ktcTSHWv|kmcLZ4|h9Qe6%by?_jgmgDj6?N?-y^Hd=?WP%DvdJivg_?4 zKXk@4VVybtFKl`n1CwZht3b=>xN?fm>rfvtrBZsB}*3*w+T=g@6%xS7gK)(C_`9onAL8VNZ;1`XABf47pP=xuO+oss_xard=VVmjGn~piLkoEbbtsbTF zYmLDH+O(Uqg$dxweXhgRs&Ugju)3fvB*PD0X;O~`Zl5Q+$Gx0H%IRR|>N3(dSqZX* zo@$wSS2C$#RM(9CX&qU}U`Ctovg>}4X?s)Hw|clq21prFmy_GL^%pX!Bb_y*5O8m! z`bs~57|60$0jE6{PO5QC^&g{>&*2nOk?O!s{7tAk4Wuqf*~8LDU~hbPE+IO@A|fU zg?lT13*xxdPeudI_;!Rze0WQF=}0eb-w=basRz2^ocRsjx0%Bu#*u=1A$d)gI8f(D^!N359;+>4v+8@0&o5c!wEIY8# z#?ARotKD0CN^Dv#%pG|VBi@x9{Rhwd-T&7i&GL(9oWBU% z0QLPA6ud;HM?Hst=gvB|1Ogb;vp|?0LQaAsn5)=x_Ld{v-$2s$=h*BB9zL}`YJ$53 zxwK%QBZ#!cn_c)U<`C0%OR)Fx;4<_hG=6<^;4X+P*dUa58&Wj^EdOMn)@jeaF65wOaGr0@Q|Mb`an$X-P zeF@}t=wEXCf3%1*36z}*sT_;}5NVPH(Pxp>KlQNEVNZSf9*gaR?S1=#xyo+oO~{nx z<8;X6?zX+oc3bn)Ih3EP;d3Y_yO>LJ6MF|6=zq($z5|whi29?{IWYS!fW(tk&q3ZKJ$h2%}*9%7$r+9@(&6x;3^`u^T-B>m+QlM$N`Eg!*lv zxu+CTl_mQ+l^C`UQZ#a8D(e;QX2qjj3hZ}XGoJGfH*V(D*TF3zvEpLJHN45>1@<@olqi@r+IbrTUqOqwRCj!1Yy_BU3&<>CvxeAA5J?Q3}m0NAj z{|EdTb_lWLT>gle58=>`X@&opRp;t1@&54m*C}v0aL?1TRcamx;4zgP)_(raRqP)$ zyZ3{qJ5zhkmC-}8|LF#gmU}1+F@4*E#&HPqIL~m-&gBHTC zepuPt3E4Z8U8!7v4sN__Si!sL`4f0Cb9=7YnaAOtC*$e{e5woqGE;?CW%mpu{(A%h zg>I@sR{GI7r*$75Qxu@^_K!<-IaEIU-;JE&_L)`wOtDVHdgp{)T0o-Io0>;K3?Nza zqiIL~WP0#Gl`T;Dl+KW9Z{z%-&VLuxPTxDU+hq0EfNH@@`wxNg|3dY9I%mB3C-0mP z(2po)p1tJ|Kr?hlnc!a4Qy9#Ci*Egk!p?GWhVu8;vfvrl0#LR;h4S|`?RhAg)DMBm zH=gh|U@xRmkRwcB6WHe;K^(wn4fHTag3Oyd5QrdDWIyJMJ>8*#<}l`2^k|eoGh$-% zz(yl&eUt&5p>X&oSNz+LM(f*!fysg~u;t^?y%&N9D>KTs*lS)deC&QkN)Wi)6Oh-$`PqZ$EhfVT{)DIV!Wht=fhF4QVV|O>*(bk_&}w8S#XJ&d(+_W3E!byz8_lQi9~0r9s9W zUw$|Wn;tF+NZf)(A?{bJb6)l6_Z=L5P}-j#i|Y{_T7J7{xWrrhvwwy5I{inldcw8q zc@Gt4ssYA4rnQE={rRGU0YMJsO-M<=_@`e?ng$_AKbq#AeM>N?-b;UOZK1P}M&~ zKx*e2Jxl;JAZ=exYxWs-{lOB+hkszT5Xd;gOTMG|rI%~8P7ahmB5=@C&v@E0g+dpN#zB*adT)J$;Zr6TiZZjGv8T z*MZ%@?kXEj)6by%iC+F*W&VT4je3UM?EnEFlk^) z3Q*b9UdUV8UNz|ge~6lc6lskEQZW5&=7sd^SO0fv(Q&xsjuody%HQz(U!~mtL!a<& zZm#1j9|Zo?$@BlK&DRKI9AFWL_(~RwUo5h)0M5>Z9G`JPKc1Xnq#r@5_ix1_9XrKZ z__V4PLojWZAkP3!5p0Xyhv-{=~EXVzJG%4jVk{dcM$M8%bPq`o9% ze1ikj2B*Mm{Ahni4F=i~R=t+&o!vjoXQ^owB(TW-#yc7ObUF@=JN&500s^ik3oyP} zppn^z&}_K&)9KKO4taYYLmC9<9ko4Q?$=!Vb{)#&hxEVJ@GFm?(3Jw>`tS_ye>n}B ze#tEmD`wSg%V@1QrE{&=38EgmwjW`p7wdeqWM28vS7lxtOY;YW{yf#*c-wXzP}_3N z)_R8AAzf_<2lo6cfOuNp$yn%99kpm%nDe_98+IG|P@W)Y}E z%swe(HT~M#nFb$vglJj*8G3kCRw!~5{{76%(5?p{^+kXoPDM@H9(b_BQg00i(D_V1 z1-Rf8YuCkTwtgLu9Rn9qeSV5#3OEaG87Ixna{)V*=g`jBayAqaSu5bW^x*6yKiKFe zpyu|@hVnE8erj`Yi!NDZq55x=?4Nd>UD!uQ*>Q&&69GWq32xnwTQE@Fw${mlb0Y5D zuX2R~y&^OXq6cj_jZJ`tQ`=f~_b(HAmP`ilEbP{oB#!6N{?rq{dFI6X5m_=E?&pIK z$Z|lVb8Q{hE=MSZcKx>XW1{|3=KsMnXHxAv%ug9wexts!*a&iQH&7BHJ6%P|`QGUa zOaG~L`jyp~Q3v@;v5;|h)1zxnySKN_di0=Yx{FL4d}N(*%t4!W>Mp#H%+i}_kj9C) zi1|F3GmAME8i4l!Ch9q1qI$XgIH{xXo!Ki7vpFJS5Hv!~?TNtANZQ7RD~ca(tJ zfR0k|R93(_k@aRl+sf$=dn{aC&};`}sdtPvq=$qgMe1*ugf5k~XPRvO)hnEz=UTr( z#sIQDgaPg9V^Ge6?zpk6?Cpj8ENp4{2mb@i5dTM1|EQZ!7ysazzc!Q?Kyp#soB>Bj zrEA3`6t;`QkOnQ+z?1VQ#4Q1!rDB9^Iy8Yl9%~9PSbg?r8LT}>urgkhGCppHD~Kso zoUyy`Fvbc-fm!FIFAHOJ=^tJt9oeqFfl9Uz_e@%lV5P|RVbkQAhU&JBqIO^-nRWEp z_-~6r&o3>t?ej_|E2nY;oRuza^IW0&Eir$1k=^tt%(@!ro2Fm^*^bZm;jA;eG_qA& z5d5UAtB+NC34|@~@oyZkd3wa#07yL!<>kLFBdW4;P!Fuhzl65)acR80aN=qfOB#48 z6X!g#r6BxP&et6eYkA9$yr4~_Ex2y87<%sbw;W4_kf}U20ZLk%6JIPiu>8`=H#=O} z+wOy2r`JpH!b+Q$U(kQaEn^sdD~Vja{H* z;lVX+>s|*y>)S-L2mK|Fpx}$q$iG+_jn8Ycxz73D=;@?nEu7MK)^6I?zahSPba8}Z zepv%+ytAy2+qUJ0kUJ6fwz-#MESTyn!|gxKUenf=+-3REN&vSs2(EX{N(G)DWe@xj za7ywK_*gD)K~DQ~wybmc_(Q|LHQUYNS#Um@g%fmDKKN7ROrCU%)7bVpXg}%uexuYM zoN1JP+E{{McZQphs? zzat}v4=N9zZr22Eih>PC;I(OXtUa=DoTEne;lYRQ)8t20)|bH}SH0?!Oj$Hy5cZ4+ zGg`f?;Ykpbc~OPLVP@z+Bna_|$oz3A;E~2J%3wZ`E$bip|Mg4krD0zt(d+nAk`GBW$52 zHuo|r=7a5o2BQM8ACvqT3f}D4TIKAgN(jV~^RAy+$niat7JkR}s%E?gzpipE7irJ2 z+hThaJ)jN8MpSjy2SkD$e+||~)a@1B$^i#5;4p8jBca2Tx}!?0;UmX^nU7*NF3(qv zu*7b^r$fd=c$+}3i0kR=abJ$9x746|=sMb~(n-tFdcbK{Ro6e4+??o?eg(_;=S4D= z5{MxdhveIx^Tx6N#h}J5KKjwbZ_IH>mB4eO?Dh;D`&!KTm@YUxtd6~je|7q0eG8d7 zu68tDI9&Pf?gc_=R!V6xgh$%6Bo=hr%oyvhetGyEzpe|DeP;bpAm3r9$L~wCKXQLA zxU%u|XdMZ=S5Y3xAL7T!5h9>N=8{oc`n$FRrc@I#SsMNQu~QK{z(RajVAtcsFe~{{yn6t#(radxs-7Iv+ygK=k5W9f-TIYwBTceoz4ZO z!>=PStc%<(x&4oTRssQaH~mLI$9u}@*t1RLe)svYS>uvc7SL62Gj^BR?Rm}b>HRG? zS2ONgVtWa$O`F#PuKz~!%jsAQsKR0&b(Vb*oK%>&mwfBRX!&2Vjj$CSSJ0t>QN8{<*x&HdL+PF*^3TnCIvh_L<%0i?E-eY9YYL?`kUN+(Ay* zTcG(n3IS*JeUSUf%qITOBdx8QhafDiodVz z_M#T9@z8#+{j1+Ma6X7GCTm}SvEKaKVSFTLL%*{+zz$H7a8|ZI=u6lc%V?-7Sp1#0 zf#~&TB1hZ(SK>412V@uie<1^Hm4AaB5WDwNJOQfi<7%r#mIi)fdl{;Bc^jGJzqw!Y z81nU+t3^qZP(P&?>kV#NeW{nzdH07v@}LH21JqV!o8#I|0Qc9r1-PI{fYBbtKk;87 z1nT6@Nu6{z{a2klnetzC@&Krlhz0+ylU|kE=8$dQtflwuJ-NxHdpy{};+}6_A-7}0 z@KOqi!_WA@ZlbH!8?EkRb~eqyY|8Q)PwrS#21Mx;_*8I?aJCH}QT`zZ00UsCS|Db5%REC;UnbEjvBAd9V`Nf5h$w>-|X!{L~cxp*lar z4Jb7>6RYmG?<7Bmd}O>j50Yd1RUsqCp%oGX>n|0OpON(Du*tDI1p$&m{*6C1kJsg( zVt>Ds0FWI|K7FkpT3+c;LH+|X+{c`WJDOuAbHP3FX?Ok9cx~rRPbZbXvfod?c@V?@ z2E*24lquTQX8ym)Y=FK3?pe(Ey_TG)u=?CFONCbax=pp}QgCeL;qP)25RpT8faV{w zEN+FWLltX;i^Qpn5v% zL{FRa|3O9mjOBm94gWQL$etbZ%Ii&nN#tmcHP0s{wh?XA=FKWiQBvUo4gPG6Z9qgg<5oqhscNIvFCcjPCZ$-yCDxK6W2)I-uDzfx$C|s zA1^qzP zod>nnZ#8Pl->gJ}L^99LcxFvZPIvxsk6*93An}=@>4bw+x9{i;62BNPUv<19 zE9dO`Y@vQTT4A(^?ka)Tc!Grn?km3yaOR>gHZ&?gXd*n;=Ly9y3jTI6olamF&vg&8lu|`w@!SH8Rj9f%?*j8r zs~pd7!incA<#i@bFF5g_wytR5dMmM^S{e7en~RRtj`Vi31Ru&xyt!6Kl;(|_Mbhcf2*v#)l?k2n)C(StJT?c0lSvr=wSvE1gbuyn zw7gTUIHWLbp8acn=o%M&KlS0g7|&FNSc+8-@AgzaUEjlYG37mV><={a#VULp=K;K? zuPh(ku|XCH|x6BMlJmIY!p;+Ux)>9D_FSV)d8(l z3PdP~ammU==Y-Vb>`^$BMK-j*dTTn-kmk|8B=xEG zw+f~SkKw8(csM-<_vakl^anC@(y-i>ZS$IYd^_VG6Ujrc?VI+q0Rh>G`h7LQ`f1Ut z6n%Ch+l)VI6E4L)4ey z@@h3@C=UU3@?ty{q1LKUt+wS4T$a1w@na9&JuY)AQTGr17TTs?9P|b(t5t$`kHnrF zqK;iGdPU6H+m&DU>N>MDD#MomEQNB`InKMpH&EDp2i-qE{Es|`hO+<~PE^4|Bvcab zbIEF7aod)En4Aw-<6B^jDTBp~f32YZ0aZKBDm$}+Ww)*BH1U!Dhp@)TH^ki^+CTCQ zxJcLMs%7NA2zf%MGy@^|!ZJ^);I8!pmY55;_1+t_y06|z2=GX9m0dwD@E>q35GTf zUzcSPJFmYgBq;l;U*x4<>i|*#NZR?6qG*u*O9uQ2qyM)g6p*ndAlr-F`M*&MX??Tm z+ep6zyl+dxT-~0BylR{t2~auG^#wTa z|7~PhP<*d+lciX;Vi`GzQq&iVUN{N*;RR5hhE{i?8~8HKooDv1XlK>$;&#-N1d~}d zgK&8<{#=GIiU4ZED04Mkn-oX*voHt+vYEmz;~R@0!=E`PH-k=Kh**37wqSiZ+i?qX zHs)iN=4Ip1KQ`vh<)r-zKur?1BQL$kgg<1=Npm(t{%7(C#jC4td*NIjcVvAS-GKGB zq0w$v6y;1_9y?)87Si9Q0wBpi`s2*e>M$5G9aniU8wc5&T!!o}n!6rMO^ZLO0Q!I- za-fGYhWU@AY>ssf?63Uv>etb8#&;3FTSh}^0svFq{}gHKP(^%TcGxuG%V+0x4cC$S zVy!&Y#F|0RJ|qhVrT!6aCpC(%;vdWpUB_?P@~fpYvju8c(*vD9C@_ElfHm9)T4PN> zW3Hno{Ie>UW1Zit2G{}oaPeYKSNC7&>8w?_g@e8=t(~p=J#FjkczjTjwp1yD;wjF~ zEAA+_JNX)J$)&T^^2qb!7&@8G4`_8C3n+?pzO%{X#_vFWYxHEEDLiu>= zcOMe5KO1m0Tphf;+0sX`x|#GME;uKT_3BG~9@^r;28)?~Ps+*m|<$t&;7b1KYm4eW;3h0OG$;>N719))LrDHYpuNF{a-=>~E zeKL%%P88HeoEex^Qbq{xQJjA|l(JVIewsd0`R~`Bux!XCi`yc!wP#)!xgW2(fYD=J z({dd5_`2fhlP5!nWlKZNLI5xN#k@?0rRtI_!P437c_twjKxg5WmJ85`(A)MG!25hp zHv{+AFSsyz#BRaZ3ZeJL)+77?N}^D;9Ko*k+CYwfINVV0RJdg{o*gD^lUNdDRX+?Cz$ zfQSDveIDuXvad?qZpF}~UC*XozpLxc$~Z=x$EX0qSlfioR#Bb(9P0^sV;4~q^Y9bb`48}heNE&s1M)$`gNr!I@G=CF(G$M zs3b-a*L87ue?ANC(qz5uNBAyx&qV-Ovbrx2E5q+4KCkWE@#UYfDv?gc^`=6#!%4&lQI3PG9jym{J%k)y9sa+MbF<{loRS<&a^F? zvoFY5+DxGWrdhpVpCNr7iQQYyj$v~lsbr04Q~}W`BTV!3Uoet@LH{1soa3-k^k|U_ zpPd=oge6eN$sK-Lp?Wu;87McQf68hZ1&t3CTy|}$8VdQ0{%>kj>3{t~WLCJOk$i<) zwtBZKd2B_~^35~TVn+X@_G@Qm(OB|zZ_;G5C}GUxu6*EITdKExNm?wkh#-sT{Av`S z7A=e5-B*G;KBVr9ZbkhMoNeiWdhsso2fAd7SfG5qn8ctG}F4g)X)WVAT6eityFc@~N}Te0j#Uue>2L0vjy_lt;6 z*?3a%l7>uO)vTh1_51u(?lR!6`@WX&OLp}CSjJ>#5&n6+NkVbb)%Y=G5?54 z1tT;l*H{9tnwTgDwd=u?L-0)Xei6M*c2>!vCf9KCo< z%e$Gs?)aZfA364DGr!pBj^M|CLo>6evASRY?~eRT&>1%}+W{WWyuv+*ck{$mADx~j zQ>qO3si2>CcPi9c0rg_4>1(;XSUK?Ce5R}4OpsXi_xN|?%mv`~%MNzF&yWs!wpa%W z{3}XQ{{_?ZL4Ahf*Z^&)dep^w^kYT;!TbN_>(jyeFXmAx6sbVMnyF|cwEj)7htZRSUR_u8tdayB_i1Fva^9Or!q4h3QdcC9M@-X6a#DP84}x2wKtC?E4chXu#Y#pBHZDqZ(_5sZF{?)Y`MU0dDyjl z-v*LZS}%*KT~WTbe8{qSQ-8==#e9Et6bJ0`XnVQ8rDw3RtM||__XEVJ^;?#}@UTl+ z7NnsyYWYdxVa|7xI9It!9P{nr?f&7)iavgU0r2-BQ!*~?p%~{uelxOV(t=GsXUGa5 z7suPk?3A=29~};!Zkv@u$d08b9O%9z96T-v5rho3f*W_wc;{q{E08rDmQE2SfRuZQy2EARG@z{d&ck~ZOM>Pk-szo;n3 z6Rjq#)V?g>!%SL%XE)P`&^&1pDFLJE)i=r+mNKrJ^TwlB&$Qnyu!%O1so6g1h3Y5u zBn__SK^giqqLt9(w{ZR;k~8I#SN78rGLh63;HoN=)|u29%}MUbdBN~(eeQ!9G<7>9 z@TW1n5w$MG$n~K7oA?w&o`%n$B=>G+=!=ZYYP2~L`ujL|5IwCw?({J$5nL-G2=v($ z1VTUEsf~k)!SNOsGzT-sxUed+I_-R{hSA$|7ry&u&t+oBzbi<~GkiCM$cn`&NXM3v z-PTS!qrPFqsO0kOo61~oHPt5`R`_V{U=~|hPn#?DKrCMLx*2$C2wH zT`>0-pEaCsL<6Y|+kQ?|yZY&c*jp!1&9bQ0-5gp0dv`%;=dIovv_qY+LDCglMivPe z!|txY!U?)T3krkNRYupiV*D$8+;kFu|y9+UmBbq|TMV#(WX>?VA+-p=x~rQ~HuqnYYTu>2h^j11L+P z>Z2YDVGKGD6D>Q8v$E#DD@p@*?A*!mNKQAQxbv2ANh?CY57kIC?4}4s5-v$>HdD{% zH=l58qd#H?Rw8bTO^YYfE0hbPb}U_@%g}9ND96Rft9L9Fa-GF`vp5%6l$@b=z(G{$ zkC^c7vR4y)Ana=+I|Wu@wiSXTERn0-=eZ38q#~L-D$ukxG&W0mLKIo~}<35!p zF`cbV)YqCEm*L6OZm-Rc-G|$(E-pl4?DGr>JOWXpbT($F;)dOSvdEHaMe78kHG=EZ zw8w1gWT&0}(72S_--0JY#JEX4>)GJ8d!@f{4TCui4ereZWJW3c*r4u=QxQ0~#^pm(ssd z=Ty5?zmV!fxx$R}RGxs~S)QwG+2*zHYcQ?YBTqifNj+8n5Ul`@MyQnhY`;FaNw*8@ zFmphiQ*xb+A$nX-xD!tkHma7v?-gIVo-#Jr5(fy++>b=E;VPPt{opQkMdPc9*@_jN?&`RSm5-GaLNOt1H11vX zTr}7W{jlyT%7OKlTof2E%J-yfx=m8J`{`Tmam2LVXs7iS;=bZskjcxJ9u+}w>-rLwz3%$J}ek~6& z-UYs0=kNTW_H89zIrGIzw%IBuf%}o%o$3S_;Wu|J(52vzv*oY9x6Wo?%KCCRJa+XS zX6qK;q%Qh<{2ck+eNE(PbK#&jy{Ky3l1k|nme=qa`oIB+>I!rR8kn5kPsY~vniYKd z(y}lgNa41p=+J*cuvNn&&>x(-bX{fo%IIe5Gqz7(k*?n<{3@?u+(`XgHP|fcTIdb; zd>a1es(bNu;rE1{-lQV3QYA+>Bgqw5c(0_n3*g+WQIy~6ce{+8J<+U!sX^;A$S}?O zru|Y9^>()~%jdXKT;~l5JnYCfdI7CB0|2H>uU%Hh!BX5+P5JsDgyOw5TL?vGzY;ulxzzJ`2FD0D z9avZi)h*6If#$CcoG7+Mobw!<1s3ep%3V{c$St;vy^+DUyONCWAsR#^sEOPUYYT@y zqMkh8X{RkE#0ulyb2EnFiqvx*cKFr@x$ocmBh!$-zh?-HZq{mglYGUcO*dt|#&%9T zDwV82tgx3*EA#MRdR@B>!Vf`%RPaL%hsnIeN@qV~z9%E$;%_Td^d6e-cMh?2eU7*} z(o9?7vaid3S7cg$)D(8l-u_$u`h48ZM+Mf9rMSI1urK{`4e(#cz6YtexN@NgPQf5z zhO{8r(h!CO$4M6m)=>@HS2#O?+v__Powtt?``a4_YvBYb6Iox?#<|0gxIV%cbTd5= z{A1xe$Tc}&1j_pjco2y8r0`h)wcWnE|;ZaG_C8uMj>$z4USz79gTWeR^hTx$iIX6=9_L#o4}Q$H-c8M-Z#xx zsW5_znFq&cw?e>UsZaWc?s}=wd2nm^q@s;}ezpAYt-kcjZvHNL&HGz)T|}cMh~^<5 z=pE9K*Bi>w>BLnf? zuU9Pd@y#ebTP{kodllCnVxYBM zQE@Z$)Od*QE=kJ0goT>n$+tZgnE=5Uk6J@=kH>QjAzqhP@vlS?vi&N~AKRsPu}~(ylae zKl_E@5Pe`_{cWq*SFeXQ++ZU_iA`7!H60>`2hDrlM`PcU&$&BoBT3-TJnl4~d^ERg zf{x-6c}N!Y)dv5Cq^%esHO|=0_~zB`Ds+{gKOt|z$CRlUfRzy(2!wSOdAb%B|9{~9 z`iTx{Gwx@_tzUk2gn4KCjtuW-W;mt}t8~;TR~}m%C=(WIYQe7H9mpZEz&6y>eG zg~yqtk{-U_E6U0sWFWT zoJd4&AJI>`tc8MuolZYbW16Aq6WcRvH$11!O&YQ{y<~l;D7aM7Ew}>llGEr=${)2@ zWmV4FRa1AXw$y#t9`x3txlB<`WaoafR{;3&s7bGIQ#V?`9M8lV=f!e18y* zH{sF}Cv2UvRN`G*A0p?g?eu2vYN9u74H)hR++kp^gMI-%<;`w{C$w_~`Z}E7!mKW0 z4pcQW8*N1g3j=FSXa-yyAYX~~+9vQx3gBwAa}NgtQ)*iom{_wgLw{d%(c7%%$XAKIh zg#y!Q5?|c@Bh=%EZHx>|4NiWu{b>L`Q+CN};FB=0f@|jnxQ_jEc55R80~_np4ITf5 z?XTM@x+i%Z2N_=e#0#TT zK)NKd2V9d{a3H- zT$&yT-uJIKsJ>_ws7!jNQ8y3~43a?~^yH{fpbdKO1^xF~aXyooRhgekEer;ljdS*n zpjqy9&$IZh#sB)h{rIOOYnu6={?m{D_y6|e$A1O?e>w6m%Q{wZQ2Hf9MLM~LXx8`^A%(rAgmZU6PZ{c>pT z*D1+`{b z@mhYAUDB+eq94l+DvhQOXz>YKC^B$4D5UA5^v8e5ei^wb8`p9IZO!}X zw=4enXAR$5lD=>L_?BO<_~&o$zIXiA!$1G{>#-|;j!Cvf-SYFUept%3{Mn`7Zus$Q z>3@;K&sMZ$_uG{~0Q1@oKfC-F5rI$N5C1p#^;2K|j!q_hn*FL?*^wpdw}gL5`n6lY zSq%AWO+|8?WO5e&6P7aMpNIr!{={NY{wD@U*_6R(Jf`A*tf~FF4D0gKI{xp!ue)VC z^waXA1N}I^;_rsP^yJrb1L!t51O5%^zd6}P%h2>oQ^tQD&hMw6*EP$(xp2;+xSzW3 z=^5zkU(V-K-~O2ECX1%-&n+04=3izYn&dkuKYqP=nSi4I3((}{U*@4Hmw#|K5Ip$% zFFy|f@jpTJFR7IptJ zk1Npo^k1@R>ZgBD!Z2mS)FLI{`1eq z{abPqqYl5ECsE?h z-468YnM|F~u3pUFS&8~SG)|N9sGJ(2yP6#hUl z{+E!#KNyGq#iZ~D4(ERfDG>jEA%#D1?Egzh;ScZqUq%Xl5I}!Q;g5%a!v9zbILiF- z1t^C7nf${#{(lu0Fyzn79~v6Q{2BWPI{Npd0FM3JpbZXw(c8a1_(j?O^y~Nk`?nLn zK=Pph^yqIe`On`z`pX~emp}L~=X~P(iv<6v?*|(EXMUatez`or{-$E&$B(bw{rK_I zx_({n@_&?z=Y2FSY!)@9%#w8}PsXN>sB05YZob*<`=>@t?lme*B+5hV;)9K%f8e z^OFDYe>}B2hM?HLd|UG8qnVHY7>VNp>|1R16yYqBxlpqL==6}M8B>odY zqVb;?mdgJ`M=6!!IF{xp_3I7)j(NJjH0(c=|NO(qro5lppHo6V0A2snU-9*M$%gqy z-~BRM_RE~npMQvey@N4m%U>?qqGrwJAOE4ue?;B+&;JpO+R*e<_UlB|^mEefJBblz z%bsQ3U#7o)nK3KVtXs?n&Rz_dCxeIX^R2RU@4C4ovhe9| z;77BZ;^}ZY|fWLQMOtt!Zf!>+CCz^JQg-D9=XZXHrfp6}yz#_5GlrJ%C zl1>|9jJTBQxhvIeehCGViuX$|nJxBsBoU4+6^ZIH|-?_|<7<9MW`pC-?@*2{7Dd;PfBwv8pReLHf)^ZkRx=qOy795wA*i6GWp9a$)&uF)aa z1hUDCK!~d|^xL?&;*;5?3a73;-2Um30$d%FbE#Kd>H`#q1x*-y~D;`eXNn_A zZmfL|)sG41I5bc4u_xl=V+OOA8+n>Sc1=npmG!VX(J*xO;9BHJIU8poI2C)B`w;s5 zO-!v`^`y|dkB{>x1FglPJ@fNTY;7hp#OG0m(7PCA;tj5a1zdZ(&!^&%*35f@jC!KW8 z%41ibEqkfBb|$nQZaBrp7lPCab;0;~o^0T`t=WLCg6fa9^4UCqW z6VchOxIfC*zzYQs{mbAF)qbydy5*p<@>RZe&9EIfPi8^nR1?Y=W`4eTh(cEcQ z;z!svW+X0M2`wPY(;74$6USOEc6E}^*4idi9wJRB@5$;Z@!CCeaRTFPt-jW|Bbh{@ zMTJ7z1(;TSD6bh@KC^eA0754vkDw@2p#{Swhi%Y4j$lTFq1dsQGZM(+LB1jB1cThmU568q2O0##n^4+_$|!F- zet!@^u}q48Cx%#>`GnI1P}V~SdPt}O_qfseHQ(8o6>*>gIuFC}oR3jEtQ{tD2Llv# zjEoMa@VlOO(xny$3t1XQrLl0$jB(!sUI)5(5c6B|lM8%az({}0+YJ=2aSiN18E88` z)Ksb$JDUwA=*v(9n88UT%k}L zwJ10)fHr?(@*E%V?jl=H7O!G|>0&{|7eVw3!>CUYG@hs*jXe}Mmrr~!z#AIOK%@)< zbmw~151tb^vwuE;=;NuAYAh;buaQg^f*w2x1QB>mZvo$U9}p^i+z>5HPa?5O7YJqb z)z1ZfxUNF!NCU^C4)rEbo*!Z$%qF_|`VK8H0fnFy!?2#LK|(;@d;Ec6dV`Tdu}&4! zhHwL4yc;*uz^oNq2^WC`6(&lKlkiu5z_}RQCDm7yer+Jr#Z*P#27Ms)yb)R69prm( zt^%X)py>Q@~y9eowb8cRVl%3(+Gu{&~n*$&cuGNS{5>=)Q$>qdp@x zntM0f{H-FPPfkd)>oPmnZ5Y+R8DA9S7#{h zT&YH?3w%2_0J%hOenBZRJ&$)TnC)irf6i7v+PsB$9QxMtdewvMDyP!CY=1%4Fo75#8Q zE7ie9wxU-GOf`pL`E)}`x#14@z*D(MuaWH&%nygj_z2+`qFWBcAAvVa>Bc~@=G8Yk%cYvmfJ|r?OS?FV7mPCOyZDW()yafcX+2f- z1HXxCrZZgO74{&I;AZwjGR8Ul*%|1j6dm1LKslLI@810!9T2eb;R>Kv^|~A`T_mgS zOVt+4Lp7fusGgY-hauat*_A|96g%sJhHf1S_r8@%`(jy5tATZ0^m3Bw>f!@k68Zxa z2X*;&F{@Hi6r6u;T}xLyq7q!_7M7$e2tE*mfo&I5xe`o+fUw=+UnA}q5U5O`mCrkq z`;hdO$}%!x(J&-1Mzw6!gS^kQTFD^F1x%(ld5yYO@80%6m3eK3;CK;iseatm&K^w= z;YbiW>m!BeM4ce-`IKM4h}H0r9)fD$_xH1h7Cz-0U}v=lLY2&BoyWo^k%`rZ)O``9 z8t~mGp?vhbG*2%85Y0C)R()j-kyjJ?wfc~DhANf>Iv&iR`6de=y^So2O#3Rbo%Tth z+-#8Mhz5(+!kNv79zOwfnkE*F1{WbVdZ36wwpuEI5#Y>lTr^^g-7XBn*r!>?*2q7r z@!QVz#e%RNaVg8P2X=)sQc7hg#4sg})H1a$VeHx#W7J(jHNCYxW5Fi(TgFLI5bR9N zN!qXcC$8C^RrM2`Jre+XcV<&c7DSDEfpyNKl6gM2tom#KtTGhF@O>N**-Ea51kJ4{ zs!7&9b2o7734GAAxB>X~nfX+V0#hW6@1&U3<_VZBl{Mk&-oqaMZ z$w2uAWn=>7I+4Zgup|m&RVawIVu!!P(}l8U*QvfmQbKK@`5c-WUl*Z9m2U z=dFp`TuQ&r(_m;kNb{gsDEzgrq9|h86fxWF^9G`M zmIMhmN^{Z&?&tZD^=986jkBE3>-7z-k=cd~dBFf3vCPV* z1)P1jb<+X39oJCvHqVF!ptoToEObp}4XEey0@hMw^}2Qy$+jgLFKeZne$yjVpw(xn z5q*;9Gso?e;pm(Sh|xmn0C9S%pb1xwup4e;N_|yC0;1x(pBjudyMoX)pp3v3pk(^> zSLw`H+t-H6TBE+4;rQ_(lhV?J%70ulr7I0a zHGH*xP8fH~f5;JoZ-$2HfiWT1Vq*OZ~wE(d9fzRnZ(!K=+iR9MI*>$E%yjK+ z^NT6n5^lTG&0+vYr#OQLar8))X#9Gyu|nQN{MtWhY$K>P#U8fA02>y548t4JC^Nw4 zD;mZAeV?^B!TEi=Xu$ad{OgyMTt(;;X$+gqDaa^#;WGPP1rUhM6wo=ArQI)Vpuc(y zLBZ#X#h3^LfDaaIR`wfbCy2RC{-1DobCPHl10YLp9}SuKkKTLyv~%MT0RDg@o|iN%j9a;<%lV7yup@?Iu`$HgU91yp9(7F!`m`$p0-jrIwH}=e)$lYryH%8#U=>`0fY=>=;$W(83*dx9BHRo&J zcjgvx?`Qi|V{7K!pG_4}BK#S3r{a*(r*!cf3RT4Mqd0uIGqS~T8#1Q@XS zk#K&NXTCgax0F{Xvn*t=S&+!jhd~zl+Tb7o_DTq-=1P~G?!7r|JEuy%4rS?p zd7eK;OOcA3U(n)}zNlfucx1|!0Kwc>BezrF+Y`ygC2DAk%_CY*Z8W(Ps~?jy)%JlO zJm3wo+54^A*)tvB=iPQ0qxaPuK6LE3edkpoebU6X7^7{+?)4RZ_R1sx7obvWbPh*= zw4ZJJZC=QIyunZpiLfIeY7n*buzT8BUX}{n>idg|HUJm){fimYB>u*Xgeu+ZH(7wO zYiIru#E)gW!X6Fa4Wq%>EiIi|6Cg%!;Axbv*EJmli7F(%vk)Gpw%ESS-)-P7)I%Fu zo>@zhVAc+2K1a%|Lq1vYK$Gu%hQ{gUqd4PX5PN*_H{1c8XFwz(k}r-Rwmi?F9Dp#` zKLWrpLj{EY#1;!uclo#TjW3clPv!pP&K7=k@1uLxzvwI_4*YJ&PA?X?8*p|8O4g6K0tmwMx?YO5XQ(y_Ba0Nk^XwU zg68p?QcM9yx!=$wK#$z<|?UjTq6`R^rIFJ{f zwMH_i3rMkz?;7oOJRqpf8S@Sb2r)G6G7#C-tV zjZ$neKH$Pj#Y2o7cA`rnJUQWPL5~W-Ms(sCsJ-ym9R#~`_?vSp*n0;(Rx&llBxhn4 zFo^;V?CsQKw1~#-W{fpt0NBIr?BesJzFn=xLtK(z@fvULj8riCaz@&Ak&;(oE zOur2I&_LYu$vR6v4=D#!rE&-ikWUwXRdM&cfKAl6QTTFqOeKsQhDY-BqbHx_Ju9Xm zhmg|fb_m&2&36k=jGG~^zQq@q_d0=CcZ{6RuQ zEM0f`dR{wK)9EFxv^$MKbFkT;@#Fr~MT9Mm(WF+T38+?XVV+4h z?OX&vY=w6On5s=+bf>obZpf@(F;sSC2~q-ugU)f`;2t&|GWyJu(n3hH)fBADuopZq z5F4hcI*BuzhXOwstN?-kMxOzQEfBtnA_6he&~fM4GEcy<5b=3r@3xa;fWt+h)Ejl} z!ael64(AKBWRKja8s1kf?RhZ6(R(b~7JZwFE=ec}rs(s>&cqH1&1hMXNar3X9`Ocr z%K%w@;8R=~k2vDYh%InMR@@}O@67tavKx_}5n2;G%cQnIt5UwV_Ux-j)YXu3@0jcZ zw=c6P>3U!848CnlbWnLrX#7?`h}M8=?2(DrnpfHLL4lwfg%UwmDju9;J3>d@j+_`T z*z7Y|ZuAT^PM5TkPn>}P98GmHc2MnY5e$?W$pSbbDFObJwnoQsmpP&RApx9vkV)_Q z$({qQvBwKS6+IK|adL(2y$KVq3z)0~Tvw~f_gx&LHMENb;^jZ8f^2 z{H~=M%3^?A&NY-yz(~?kn|1nlUNemjDwbM;_(-!O&vuBPd|bMdWk}>4Wl1JbD;prG z+!2|`T0P=ux3}X5B_AITvcR)9yQu!~fHH0#%K-2NMQPM0%DGW+qytOVv|A|WcpbcI z<_9gpcR1HD@Yg)c6nBc8Ee%O!qW9_rX5r`c6Z5~ zwUIocZcMU)9-P@Ds}6fBo^Q-}bZvTNn=~r~7QJUNjN43N?_1JJXXK492!3rw5=OKR z^*+&r+mX>3tjzJYz4^q4Z}glA)A>57LvHZ{6@t#$T(|=I6RbdiXVB*u&IgaZlRA+; zJmpNGY-e5mNHq<2Ms=Z0=eb18b5cEjji0S;u7~cQ3@uN%$ zZB1NV_1>5?Tn@Byj+)4`mR4}9u*t^QjFfbP;g{d}#qqRs6>|+?*@K%|BZam)c-@;= zBX0RR&{_}Ihra<9Hc-R%G%(RV-=rE)Q^OFCTGHL!Wy}%kTzJ<;w8c~#x$SU}YJ{ec zPxOKyY&6Cg->2IO$H-L^uST7g>qW3Dui^Zmj_F`Mn%t;wOODODDTF5}zT1UVPRvi{ z4^v*=+ors1DV;@C*f?t03?YGn#f55H*;T50gvJW`!s7GZU}t;CDr$?)lafOJ)S%ERhb5)>*^^hJ%_;~;;C)ZB^ zd^-r|lS@Hu02tXKz6rm$Og@peW%#3@_3t7$y92;-$a3Pir& zi0!MAr7a5;0BIUKM}%tjdHe){d}6lq__)%tX0G6_rnIve8B&1nnv1vj&nepho;)WZ zBNL&I-mUV?CzM_2d_Cf3_)cR!_8H*IcbnvMDzZbQ1hom__YoT2W`qy0zmndnw7q@@ zWAt!JnO@)Xky~F|>Jzg9e9UR3d2r+z&9?1A@6&j<=SLt21*+q8fd&e-U8TTlimep) ztnJGs>ro`bu4VE?g}$u~1Ld-)l6u;PH?4|z$VFNIR&L7bwai{>#N?KSJT&-r3Q`SBLI!ccZG7HFjefNaSupABHMI zS98)Q=|#RENM0ypVYZE*4bOS9XFV&2>X~o6slm%vm|)$hu-GG>*9m%3*(cUtXIMPh zh-8)BeKaO2Q2OplJWRVUQhI>W1TTA{LT491K0^0EWS+C|9a1aVf^wrXXjv8lL&gJ) zDV`Ra`?XZM9|9Y7#A(HXepMDOos5Sx_+goafZFGsoQIYB_^@?Xt<-~^;k3pjU{g9v zx~HU@k#BBvVz`)mSx)03bm)d&FX}#5(QvK1n0}QpkQBPHFd)VSR-DXdAXjg8@y8Mp zF5tjP+3rcdQ8BN6tW#odn)JTrkNXIUx$b-d1(OO+s$Mc zbRm(I3-*25OC*D4Bky5PEu4*E`Z+wzd6HtagJi?xXUy~z1=FTkAHpPnk^M43r?qUS z<7F&tA<(O`Qm;qxvQshk$w%}V2l)(Ua`-ZqspVcUndbrf=$(5J*R*v^e&TO};t!X6 z5YR2Mp>k2o=l6N_k}xpvg%s*5%3*Q?l{LL44fHY2v~Dk#VMo{@Xkh51T`r%HWVt+h z9q(Z1V8h6WOe(2n^^zg7>OdgZYQWOYrPP^JZ8>S%E>AccrL#vd)BLl)7OA5;#E2&G z?ZgGqh^^7muh^Q-kd$`l4bKbSDvfhY@ikI6qXmn2(#}Ftx+ug+sH|Rm^G~#dIUC)3jd&G?0>GuX9UAtI(rgE{k8&O$SwI+b78+Sa}0zM~;$iNRAI+FwTv*?6eoyanz6mblq zc*u8M`XN;FPV=sTXS!sdCv4;P;PnCZ)Z(D_Y9;QJB`j#jbsaTV+mzJakJpE)ans1B z-m&!^YHAnyP$qFIwM7^G`QsCN4S8(?Amcnq$-Q~%Seh15Y&$r`&%uBG{N6g!& za+2>@G7EGD;*C(~=rv)IhlLx`(aibwoV<_W>uS#Hp_tL5rJ*j*?Jj>u&%l!s%ZBwE z)iky@Vm-FgSNldK2!d4xmtN-4#I?z!D2}r@4h0}0it#Lqhzbo@YfGR|BCi3L0zt|4 z&T20KgOWz=LdpH?aSeaj%yO&ARn)5|Z#&QXIFD<}0JvOa8%}72EzXAIi`ZU>X~3*- zaUi6Qw(o|2F;qf_XDBNTGH1g_+SQBlpPr@%04@dXQrV3xx1TykA*sz}VkNh;v2TDg z9%d|D>U>FFJ*>$Uvx5yp*|+6pv*wB(CA3c~dAxnn+}3um><{I#%3>p|GK|Ak`K!JG zP6D|qk@|03L}*IzQa@!;=zb>n<1?LSLdqz#YSxq0j^+6rFE!N%Q7XbpS?3(KB@#=j zTP4NlZDC<)4=x2o*4*K!Pl)*tCSA|2)OeSsR(w9IdYt*q9!Y%BUk{mFZPPJ$7uGiT z*?%E*ku^hfn-$g1t&JH*dNtLzGf6JWr9QrL=HdgzX(TpQx7&&}6gAS%#J}%vxpDB$Ky@30+c34U;eq=0(SRNB<@eJX5aJfXyFjvN#FQRgLEZY#`l@TNM+N!5B3eQc&*K1n$=Mz5_ z+q~@wHnn_y9PvQvm*N*gYN)F$xq1Y32m`~p1)X%7t@tmA7){j9s%Hqb6nVpxX@ae{ z6Yr8C|1wNnp=@4fbB{K(GH>3G_YK<)2I;AE&#*9@o%`eCt#LS-+4>-!-a0C0*46jr zSmS;nn;t8ZhScOEhh^h&ETc-?d%fdGpZVlw_nmimSk0&ixEAGybJDZnS6d=sGyRk- z1l9+lZ8S%8X?A$OgZ=Q(DRkKJY_aQ{?f?XkYD7AWt0Ze!hsVp#-xJ&$W7CX=8#OhS z@1t3q5|P6@g996G5FBA5h;QSXBoV@Ejs+(6Nh*C2SK^Ezb#o|{HJ#XXJ)%ak%k`7j zXzT|k+JvttU!r71FN&Gw(c0ap@~Q1phc?r35nEzOsZh~Q`T$DOGw z>G8372Yd#}@PEtWy@7ZI5vfLSKJm~`d5e3cdy8CLGtev)?upU-~9{=t0m&V$vlm7 zLgD8ndnev);iY*j^~^E(j zjXfY#E3H2LW}U%R3POK;mJ5>!=Kx+cAW#{S07ob}M2$Cq1HRu~fcgXLey@?#$}#?M zq1erm^fl&pm)GD$)wkKS`evi|_1Q0?lGGP^aoyz8# z2TvD8^? zYLdmY0u7g9M=_UvAEEO=cGcnDQSm#M2*}Q}@t6+v3}biRx`;E(v<5wY8?!toU2P+d z?$E^)SE{IbE877nHLf=AV#JZe)x--5M0542gVoM4dbP+DRB4bJatZClOzX6^NsNY-w|p#@>-*CN$v+-^8+4o78;s zo(R-$jZwCRN2KB>8?c1x<-y`22*;6h2pwNuYUJkLYx2IO&<*zwD#$S+SCYq7Vo|U2 z>z-n-NFX*i5WeSl+DmQ*xRw?M{|zbUO7*#M0L+lQF}g1XotUwG*pB7FW_W_d>GWJi zG+zC95h@sBZrbV@f!XmaNMgrY5#J~|Ugd4x(|yev+} z_xW`7eU^wDpZ&&{K`RIBjNq#>Qpk9a32D@xG@fYZt3Xd?pH6iaF770AdFT*hbUI%- zOfvSc6K~%{G>z3e3_!aX$P; z=WfM{l40oWuJen9V4}ZPspyNZ>9(RZi%VOkyLmI~G$e;H)`s$#RA`izjH35ZiSO`r ztk2J_HVmI1_ox_oYW%ouW1mMxJ-0_ayQ`Dqx0cJ3^MTPWF;^9Y+z1a<{McX&itV@@a)<-vN z=FM8TZBrDBoXj*~S`#L*xMK^zOPfB%+K_YH%IgzDlPw5M}57^N!0!u}d$CU4Ti z8HBu^0kwQ>x_9vRz!Oh(BvzU57=h5G+HwJAtP%5JT@;-^BblWN4~L!AuIJ9yB@hqP zaY>o7OQ0_B_|O+QjT0e#03q`Y$X2-cH-po{9WaKq$K#u#bxRXx`eG zRdno{m|ePs>{GBjz!3XzhL$VsTB^w3rod0eXM}1mj8?e>NkyE8Cm*-2HCg@AXy!(s z&c*SXbDD&kdqZeMn1H)LHJabkNc||Gr@rA;@?qIl<~TvZc6>4EhhF7}RIUpCSp79u z!UGrIJRpc=MH{uUdH^d9^z>-B{i_$NUirp1++q zG~Ta!btlgI&9O=^w@FgXI|Aw>q1ZTdZh8J%Nv2ag7;O`+#@M02qhPYC`IqN)G>_bu zaqhR%sYbG=p&~?OtE&~U_OPAW`pZTPzDFA4WyGb{DL9NUZlGBsRqJnp5Ofx0hVNV^ zSqHF~%pp1KP%$gM$S%!l+F4xEi{Nb)LQH4s8!qK??r=sHpA$x!Q1HhPcdPApC)vVH z@;BUUFm<1a3?eDc(R#X{ajmzwLT|eQC+{$o?d$}zIa9v3#p}n%hmmE~jhrwyVaF8yOl~n2yx9qnRdJie6TJbvM?K(qe!vFO&}aJkC=6_6s%TWzZZIK0 zI&dOZ+YQy6eXU2EzX;;Iy>+eKPC~w)NNd8fvx+d2gvRr+e*Fw8qj3Y_@$yR!W-xnd zZoRc%a~$MX0YB>tL3Tb+J=Ddp_}<<3gzvTcSoY&9_~vEP0HBjFj^luzX>fkO|DLb# z95?QTzq$#SNc(vQYGB|50|LS(ou9sx0UV;G>evY^UXIsy{RS4ZxwIm`<|U@;%L8aYd&HpAp>v{)bt9jCHpQXGhI~~S&A`&;Lg`S^SrX0VW@YGd)F8hW%|ZGA~&UT zv<{=dW7YP~dv*(W2hBN3i`8)!nv+a5|BY1-n8Se)<*%Cv!PAbbtl^;cgAy!b7Px1H zr}nqLkiObr{q#-UckWTIM?+;2h_9e>HS;~ox>VemhayQ53SALj0?o{lm}9rC}8 z5g7Tblz%zzSo}~~zvxEw7u^sv!7yOzHBrpwHle2pomD(_ksF){qk&c*Z~3s%7;up^ zwM7$s)S=-@!2Ji2h7rTJr>U3o^gCv}G z$HwbXZ%PTuswI8$C*-@r3P*@)0JdK}iuZz6s582G-F$woiTsWO|Gc}I*>q)U06_R% zM-DJTSq_c?CyIeJ>7`}i$c;7I{M~;3 zdWk?KXRg#>F_zS0+9o)Jw>_1Ns8&vPKxFcL7dZuY5b0OQm)3)Th77I|DxX zGMlq_C!&d?O9_1FU@Osy2J`DdrP*e!B42Ge2K-yz7G|3D0{zVip3okFVfeJaYj|ed z=&nv4?#QS5O?S#yf`#)QAd6zLN^k^BJ5x=^iybph!+t#~Q5cB%*b1AD{EJK8;q0kJLSM;*B;=uJU z2=+l@4T3r^*4hQZkHeYV;o&z-I!!c=?S^U!$D%mR%jyOyD+cs+`>Q@Y9%`ujubP2! zL%MdRlgnNPVM=rc&mF>bi6SV^S3uqMBTzvQ?EI-1*J)&F=u!{W*rxsk21r*QK)3T? z>kt}nBy9MuobA53!eYV<4+;H?f1WI$3)^-9A9X@`xEaQ_s*q6-Z!lz-Vh%M%o$MDc zpj@W8A_Ie=|GDP&M1fu&b~m)4U;z^--wbH9gYp)$DF-0!1pCcVmY0+^oxka0WOO_6 zm7@X+WL<{beRudibw`Uh@ns6z?>elCmZ;GB%Nl7X62heKe2Mgud3w|MmY@ONOR!PqKtBEZxYxPGe#)47# zvz}xPCEji*9Q7xyJ8QN92NOnQjve(C&}=BgjUz*XNEvzdYQ}Exw7O1rb!G6~< zK90bjts^7Z6~V)&mnycOZE3E!`jp*BkJfi@h%9@n9(RmxPbBJG^TW#$d(2$o;ra8u z_&jS#rDd-8^PWJ@R~5P@HeJ_dO|w@mMI>Jht_KNuVuYDqD~yU|bL$2?ExmbuYdY6P z^>BCIiSK}=2Z3~`^ceJm<#@ch2&|Fwsk*2h2o*dA3>y4Ni^v?p-hQ9M^1FNc>++6UNK1r_FEykWHqq0GoKW^PsW4ll{!=qUkPK`X8)eUM@a?}y{`FmBkJYM+Jh)(i|*CELH? z)`<~Z(_GuyB2;i727ToH_9FdgBqv(bwSJ_u!7}5=rkjEHC?s36uCyKvCC@^dE1hh? zLPJ?rV=P#b8$+kILcoqPXSMPYf*_crbi)`WU~gmZKE^DA2y% z(QfPV0Az=NKSj3?&LjY~pK@zcr!qMHkfUd1vepN24c(RosG5kX>Nq01^_R5x+?BW% ze;Ex7O&_3UJf*^hs&i@2*!k7^0x1r`=v;a0X>EiU)S2r^-lmT>lb1Z&-jRkTbr)oz z04U0AtDKy#xY`nnw+?$?}eIaoWJuy;0mt z-%TX*a)U5GsmBPp*eH@>tM#ZFc#pMP4E#XNrk^)#AEmTX^R?4ZazuFT^0-QDehdlt z70(gFm@h>l@FzBp*3*S`3ET$ttP|iGIh3ed(6Dj^4xD7MmbYeJ$+5uR+dwCMpr%mc z`|G$F4yGN+N@&(J9o$7`8DVIvC-=HYwJ*lUvD8{nDlz;x3J(fE(K3Xg7fG#~lXrYW zoUS`GNDSpFLt$yFsPiX);0+M$ZU~PTeIDuqX5sXUNoRm^>w|{VxRMH@$Zu%rn;VHJ z9a>YAaAWWXO$1)(#1C&0@?ukfx5&vn)2z(yjEjI(gAC?C0=5<$x%z%>19IHXd6K{R zghzy~z!Bf31*1I$+QbgYa@P%KDk(t&MG^wBa2cbqU&Dn?R&%E^>2`GZ^>9(WtB2D$ zfCkkB_C|8d9WoNvyA4x#mW3>T(Q)%bei#^$k5C1%shzFwJ{XAlW-qSC7b`(xLaPOS zvc{MZWD!Je2%mMTJBX2*QL>F15!07Xm*$HczHhkUlQ7pPY&+x8-0E~rY}q#U`XlYC zpdN&Z2wX>Za99gBt{)ge2qS4lW7g|bH=pT3yxsE_U=d|0%rP*c zC|1azQ@at5yPCZF9Xz)Tr=SZJ28qV^OPvbFg=f*IR5E;9h%a8dBnIvd7J^>S#v-FV zU=n@XaLfZ?kXDRylHhwb;h!s0@`+aP;4b@9`#zv_xmIQDGi4k+qC1))l=orqgC%~P z)XUSbq?Y(O+U`%(@#0T9s~Q>7F~W{>^(2aM`K5Sk<(=kAZi! z6aSczPmp1lI{P%IlbT)cvtzQbnMLG@o+;eEx? z2mx5)B_@DJ5YXoOktkh>zd?|xRCG2uQf@d_DC2ScOhqK82uH1Bc9moQvHSHk;tN*O zDJ1F@r8g2nTik*?lqK3N&x@=f?K-h#5nK|1^F2~0jwV8>n4Cw#y=600HmvxC69Xq* zDw$QI;xRQ(b5Le^CID0d^i9KdQFbTOGE`K_mjM20k(3E4O0+T0Y__g5YTzPik{wJ6&o+0|yLdE>4Wpy3B^YCWTH1Sbt?%w1*E}h~ z+&apa3%$yBU3?#YX+*Avat~r6$scYr0S+{-B<|4*rbJIofR(a5S!;586x!m&LhiSl z4(QjOWN@)Z7^z1Z@|d2t6%+aJ(#Pn%KHl1fUD}cI-rL1tU4`vS6I-OjSe7XA)YzVAX&KvloCc5S~xS+crey<|~bEI%K$W9!S&l7)M z&Wwd8_l?8ZM`%cvTKiyfDp|Qw&MRb@z0iF^vz7oJ%%waUxh0gc=@ks~@3BEzJFclo zZGTyR$7H^d5&+w_-v$4Pz+|~5Z-BhbeoK0g*!HWmhp%Dv(GYuq2s-e37tT$ZwPE|1 zFO8Qg7iuse^LmX9Ug<4<;Up;|B4pXj)S(-JrA=k4b3ML=j{ zp%Gg^Z|wu|idV(1qQgGw3Y|;@dOLjgT1k6Vsl&w?YxJz6^B(%$NgXOU6A)FjlRFwI*%=ykMF zY6Pa{JOODH_V=iqOwwLK7v~JLnWcz4qke1xepd#-39kvYa&$Kc>%884iYAJGzck&i zSC39M9nHDITFJZ7#Em~CP_mNfZ9VsBJ@4-agb%Uvn79^`>iKqm%Riri4ZwI`drZ$* zIl*TLHN4v{7Otewle^z?5n*NP(--#P!7z3#@w=8Er8445ZB+~iV^CVA+`D*L0+l;s zQxA{#lSjCh-BWEZKW-Cxe)k%&Mqh56`MYdKcD9V}f>kEQnkGK{P`WO$_&b!ys|=VOQ>|kfG7ysZfATmB=t-xmLyP7@;N35;AfB__($X*g#N( zSGGnTb7v)1QeD2uG@J}YwhjuE;?I`ksY#Q3oH@fwob5FkTZZev3z9Rq!3r%KX zinAI^Y}yW6xgGp9h&`2E{%E?wD99DykPO7D?|S46n;h!9uKQ^khM}q~s3-@dL-k@NQQ8n@y)KB@h3Al$9yyte!tS?h6;mXAs>F#rE|5Hhb?F}FgB-96vhtw+%o3Djq6FkoK4|En(UXS zdr2Z0c1*SIh|l50wOsK7a~2t3v=yG7Y|Vtjv-^x#kiI|4MYGBfTu2nk2aXZ7_t8J&%>PEzA_~7x%4c@zV zJ;TY)EL?pEoUeRuVVgiTA6EtAk?=OOo~vkG`3A_rO}MjbX*QC8E*Kf%zR@JM<~W^_ z4e_kYVS7SPW}Mm>iFK3*cq@5SBfbL9=`CR`&4zRmkhtlLsk%N{htHD?7B6;3-eF)k zwljF;K7kT$I6?tOjmxksk(m#$*LSMSUjrQ)(Fe7uCZmniorDcTETj$9+m6!Jj1gu# zVgyjHSCYxuaxvY^PuGH}phRZWkYJxY3YJ^$u)va!y_XmB)NDb7YwPVihVJDY&&8WE zcgj~o&2sx0eP)XWMuoB;7=3daPj3h7Zd(~o^u2N1Xn4~pP-ACLdTA!;8~}K_#3+Vq z9wB5t51q5U+XqcaQpDZzRkyJ=j5R(Y5oQ|*@8>DOv{!r`j&6Ztcf-RZdU!xOpjDaZ zAC4Q-N6==r^X`Jg*0cP(HBe2qa|I0K^$4(voFKF_d&&dMezx@TR)u+gLe!VD6lNIn_O=J{~m;<;pS z=KyZ2UF2fgBQMS($MroTx(}TVq0NM6DjCtn_Cyh?c+0C~T4&y{CN~LqiA$T8K;`ia zpEKKgBG>vbT4{H`tw|#bkkBKaHczoasf!gF5uJ`kY|_3;`C-5`(IZD=hxJK@#CG^% zb$s|HCO$Ws!<<8_fzPo3X=bu?wde53TUN*8T?~kbnQS2$0*rwZ{xeebKya=8X9A)m zdwrYpr_#a#xenFUT(6MPNi!C3b>{AVJ&f5!AA=3RCID4-c4xcab0mrK-<2aN*EF^a zpP|W9wXaG2WH|SXDW@m;8S+({$X1NW)NbF)*`0Q(jFt)sANZiWRa`oif~uRrbKg6a z%P;C;_j7q!h#Nbv2VcU(Gu>xDgk`&~d*(s+ zgHuD^7W@*|4u8SFr6gd$T~uHUYNE_}ktwoo#>Uc97qGzR#3Ce9R}h zQ5+#cMtTIR-G-Z!DR2|5cw^dU;ytRs`xh=XP7icX^_i zJ=BOaHjT|*A9#a4;@cTOd?x`*1C)2PKjLwJ2Su%OAEIxPfu5@9=W%9B-N;M35ZLWw z{^m#9Q{@yApf%y)TZ$}M4c(>JFL{q9L0-#wPYnG#-(&f0UX|S^s+9v`t7OtEHuj+E zWnen~DQMwz@Oa3f@k&?=S(v#aHvl_Mv&#I}V-YQkFCO-DXt!DCt-%;h!cQK6rHv`XjoE9a>JVpbX#+nwQn^ zRg5h$Z_W|zTJ-8$gcbF%EF_;`_FSpyLO$H1Ya@Ts>K%&1-WK+ zy6$Q`Gl;yCZ&|!A2yr<#Ceu94u)MI09ai7uJ~w=g`#I+>a^%%b<2@gpY{4s5E20^n zFT7`o5>ucE?~JT*(IfR0z*5vpCz7k7NK0Wkyw37nRo?vFGgJM=a*=G5-Mii+dn#AgbTew(;Y=3YDeU^eRRsTsCIrW>4HLrBgu*DJm8mEq*WYw zbult7dBR=OjQSAxC%xHbqAnUpW!2Qjw^JB|ef4!Fj}Ybfx=JNIvIdy6 zrg_IBbbTeC14B8w9;`2U%+49U8uxS>z!_t+rOEe=P1nd7B{f0c!y=s=HAFd&`)46B zMsmJNYh|B405YYxrjYAm;ND~#+06E)fDr)Rl~zdtYD<({DATw2!Tt zigxLyYps$AA{Z%z$;4@?r0#eJkifpg3mI2QjzC~6BfAS%#C7MwQSS1AbCB4fVHc!E z;`7n<-9v010KwG@&YMH>l~|;_=l9lKr}Gvuc{dx%ab!7Hp?u_#0uj8`Ti&X0&x~(k z1#tw1BMWj@!@rYDiFw^X5SnnREW_Og14H@i9r?lGgP=la?Fwus>Fg1IBqB`mu7uH- zBvqpuiX{J-5MtHjVJZp8mogY-&Ko%e4^AS+jjB;**e9c~yFn}%vPoJ+bdlHOX-XJo zWfLA*riK7oSFVR@{nHza^@#M0w@yN-cj=hiC3E2w1p~+91AzBDaMox5gK;%?A^{+% zy_apCtJ*YDtEMc~9?U>Jvny}#1II6%Uhr@cY8#`&l}rIUgfC*>;V-T&m9# z+P#PGo_VR>S$C_Vb=yLv%iTU2W6bWmBM|!gv3a8-S9novfmu3Y8~gS`pw~RdH`3 zH|7(GQZ)c@eb3SewSn8oOk@J_01_L5)6wO!2UG)^b_^(&&nZPOM1leg!pF#)_HbQb z4X>()Rc2oYldh-|YLq41dId1^4y%2h;Sw$pg;RPo{1rv7`#omEZK8wEjrb)GGHBL0 z|GRmRFpGU|YDqrlt>A&Bz$y~t&l~~Z0_z%$I|i9ZBW9IanuqDfOg?2T$ruOsuGPF- zVpl*fXo)KXHmt3wIcHI?Hs3^ZkSv7i3WxAFbBA5dS!ElU%oRk}WLa|Zo;Yed2^T&! zoIaU#^4yG1dc#k0Ig`d_7}q$NPQ6AR;(Q1aFC3Y}9~rI6V&b``FoP#77JzfZKmo5L2unB!s)4bMA$& z5S}TXA|P5e^=AbLhDKKLW@iRoB`$pKsS$Eg=e=L7PJi~9Pnx)lddQm~J9@26N^^m? zZ|pkoaZ9W!4a41hskSir(~Li@P~VrwwZ4N^DNl9T;>y>oeXa}((WGGZ0j5kU1-iX? zwc|`FCY6PF@SO7~-JByyb?Zndu!Le$uvy@RD?)0Hn&|KP07oN^d({)VR2n9MmWlr% zN&ujDP)qw=U*ejZ8a__Iz3ngezApu&+*#$ZJKKWt#pFu69#QW#TTWJu_w}mBIabGQ z7$7)|guA(1SxkkJi9}u~CsXUAU3KbySwW1CkIBMo6x(BqY>M*k;m-A*aj8&j?Wz*g zg|Op^HftdJUFVHug|~#SdIPp}^lCqw4H)_gqsI%m4CX41G#d3PFaZl*`w;Z*MJ5di z6P?8gMbLj_qZ3J1sNrIBgc42h9Kl)mo6i}l?fWGbM0Tk56H$sIz-fxIQUFRu$fAKR zbs@RQBqhv7#(MlbKPuK9ZP*R*>moIXHTV!p(m;H^=tLoY)Y@>8Wmgu?b#ndgLHaWnxrZ zzjF_+8eji#zpU4<`(=g4@z=SDf7!a1JB&dmbKl zZVf{{+YG}ym|T{5Nw6VFM_n^?8hvwr-&hc1yz$%k+Bvb)VkRZ~3F|PsyF)t^GAu)a^Vr}68SrFduXOZ4J=8+K@+&bBO!ET9v zpqIED8bo|XuX$|H2ii;mwh?9%QB=*l(cq(J&gkYA&V$U~Y+qr>{2judUbn|XIM)fz z7wBlIkTE6MYo37SwggOVPPI^_->uhBipPeFx?-{R=LUF@8>W@w=XSZc{gS|Na7uj& z0UUFVe8$nC$I{Q)d8U)Hj|pXW*lEoePQwA(qf%Ezk$ygI zOv{RM&daeb`SB4cOxQ(tm@#QeI!D!_tlUVlh_#}3YBXLp+Pm`|Cvt)EH*AV069R$zYq3(CX2z7x|6&RZNq7; zd2gbu7QRDinMF?+biuQjVrs4VEF8zxOXp*D5S*rNHF>4fY;{O#D_q&;F*GD9zzgB~ zJ>Bq+{BbL1GdmN=iGlPhGiWqj0wk~XR6gg8KNBc&Lvnh{)M+~T>nOfyV_9oS-W4sc zcAg&R<3p&S*6jqo&>4H7>o*sEGOmh4CCk~ki^cLDk%4)>{h@2J>APCXAmQ)QShFKp z3N(mOP1W*u<1=)np69+sBEx zjht}^-YciV*Te$6Esu_-}C zo{uRgt>J(V3ZhsQNG+A|iMnatcxifK*VWeUGd51wC2~fj^iFy5O_<<#%@VCoqCQnU z{i`^eGyx#nMjJJQ0B8Y(=q={9dB}cC>B<`8MXC~+_r^aL%(Nc{fY}>L+Tk_y1Y*_` zzIZ;YdH~NR_)RR(kl7mXm%IqepOHd8&(8s`RTybK&S5@=-9^R_o;5wvI%lvaKV_DK zJ4eZ;8$svVdH~2!&vVDUt>|17v)jq`I?!zp&aAp!-mzIWNp~za+h<{J01xx#y0!IW zUoUZv)6#9jsz6DE7A6-}{NU&&gm$2=SCLSILjkVn)=G?LW^?a#pLEmm+nQN;6js*9 zra0RG&jC@?Y*3B9+`drNlWqF(>9=7ub+YRVM8ltM9pFX-3TIm_t+>-7mJ&+g|>1AlV%VKV6R#`t$4);(2T8bIGKE}68+*siAo<+Lh}XP}a-+qJOb&OJU? z9O%1Z%k+zJWwgZO0_RNP`g~J5XGK1VMLz;mn9vBgVr=t)yp8soQH8P%IiDe9Y$TI) z!5mrbunr|TW9dl=+#Sg11UOsso$))LXG;Wwy+2`-V0P1`A=OdcjO7Lcl*4Cb=)I>c zyxq8;d&9DFZMi3z)Q-QaksaY&|$-*GBi-BS@{gmTB;q(Oii)rofk&otgEAqI_Ck8=W-WI zLiOWQ8q{4RCCu7$TPv{YL*TTLT;y8y*MPrHcc;fI(zz?+x={7)WB6p*xevx@b1B=u zN9I}vIvr5}uhH^&R_4Yj3Jv|-ziz0{@ZHaz;#KZgxb}dM4VjEC>2|)l@Z;hEV>+@d z!=LY0fX9yN0iUG__TvR?D>4fl2xK|wj-g7()>0-Kye=A{cmB?eL97q1T>Yw7-cQoI zcPu~2p%3p+@5RYse8f9@XRwd6bvDkCd)-uno0a~RuRXuU@X1=YGuA68)RW0&rE-}5;yvLb z;xO}c+1#hjc@ipXxV0izAfx8TW?wtsHT>+AOtMw7!pQn3=4CmNbwl}GW9Q-VQaY4A z4M}nq*9%g-$z7ZYCDPl2*%azrrl>J{B3>bTK&kFKZm#GfDkoWS^5PJ*b|dL#Y>|HBPgZ=o#dpJs)g)b5ydTVE_4qScHtKOpF42$Nvs>jQ z9$nj7pTv8hr0Q%;As(pc^Lc4p7hpH-BpS!GqG`xlKfuuCtus1bvyv-%9a|;se}9iU zpE~|_k2-kxoN-#6PN7K3T~}EI`fgD$eqx6}2PBj_a7sVnmrH4HnS0=~ zX7e6j_Rgbpe6E3Mjd$Qutoh^pPAyEACZ9?3_4|$mE!vuk>6Fmu(i6>Vhrh>VrY1&d z^mjLHP@+0<2f&1AauTD+IW&0J?I#co?Y|7v-pZcct6L-;=}ZX?6>Xb#&)%6-yW=fEX2shC8?j< zu}pevV%6|wuQh*RuE~&9jJXmQz~Y4Dtd;w5OfyHany;UG+tYk?P({9d^Q$}igO0cb zv)@-Pp0ASF?D+e>tHlLc@qN$91;cs%bN$+9PmG{lCW}aP5jgS7!f->Kl2W{*Y35^e z_QDf3TYVpJgyqFv^QD@yYZ<8`8^ML3PwSRJ!Ju;`RZCIi$^h@)du=-b&g>u2%P;(q zB7jC-$*ovo*p1*1YJ}&B7^B(zOwn4oDxx41PvUnc$9_#X2j0@nEP4Q2PJ{49r3mqF z21;*oDtZWdq5d=K5|WzV<(rNBK=puB@ ztO`xP>=oBZ6*W;Dgi0qp&uPrYR^7|?mXOB&%|ApI$zF~3hL8$Hu2#1ylCJEmF>6I=ywVYbX z7A>elDN9*e=$Vm#(vaO1#aS4*fat4%Dk?K~p+=)aQrLm)?CCW0rHOGPic04!9ch_W z&Bv+q2EyEI-EMF7#eD#67i+!`J}X`+$m9dtmlRbmMN{yohnjnXd_q-)$j>?n{c5 z*U1_=dtv((-nf;{_6K{FOm=V^Ta&f!f}r0pRJt?lz#H4ZAThI2xPV6*>Mbh)AHx9< z?c-cHU`x(>s5S`g8V9b}gcUcg=tMRpmua^w`)O{5Hy{fNL3`qh)zW!v2tsrT(ZOs+ z{M(seK>I5CK5C9p(N%fFQ3i&w+35Bt3t{XIxn?frQ2t8qSA*(d5bp5wp|a^UzZW0M z6`ylW(3W(FnO}3a$_rAYdGEdJ%FB`ZK06G;a^A!XiXk*J)-B1!t-h-e79|wDTX%<;1j8Z9QV_d-L;%Y|m&4-tIvL7s6Kh?(^Ax5TO8aQ*XYHANMbIzXhdK zTF>tupcsIGBk_IJtk(f7(9tXebtwdAWGE@$y$Cn>I!_#h&F@aAFaSm<Z4 zkh6bZ*W*nLF^-puL|r~|F7)wTwA#0`JR^CCl9tGdWK)KF*7T?AqZ2L~3?9Z>$H+rZ zZ)Bn=hOW$B&U^@6X-r4D8)*|!e#<_ywm+*fOgdn%coAGfE@xJ1OOXi((9-%zW0{iA zt`dHwT1PYCy}YBr;8Xq`Rn&e1tdi5PRK#pJi=GJzd(1 zxbxWTyr_H7F=E7y5(i)=z0*@21Fv~T+tAL{-Eyo-pJNjXH2oN;CLh^Xd8*-gbq;Rg zaFfJVD6(TKY15G zS~z!JZUGtEVUI~s(K6ufyra#}C-}bKjact*!*UAEN}h19o0JadV9&otn(m@b8m-T~ z_P_l@%elcyJ%`)thOJok`_dG+6NsJN-GZReP3%y)lI=|`7>Js?L%r@*a?T* zezy!x5uCA;Nj)O$Dbl#_Tr$yyF~8D`d*KGa0?#+JH5U50ma@+(E(_)Rn_sJL5}~Ok zlkK1=M-wWw3y)8Kh3|$8As>)$767X{#GjW&N@%`769$JG{(+zH3`Z$Xb)&P{Z0u>n z+jjj2HIjPs*rL{>F21_At?Flr=EAt$FmKE0bW#r}-XQLz z50PI^ZJn_}_^8e9G>RA}2^Keekmu}wV&y_G8oqj@GB8INbZttF-S}dx?vLKm}I!5_elHAx4 z4`1=cJ5t=Pz?CInh$I#^$%b22)IW-MWtDR0LXvDAb$ER9()r0X45u}{84*6;L9DaO?1(Dys6cor$9d&=$M|DXV!v1B(MA$wx}T?1jIGEhCr1QD|<5I zqnkHCJ}s>63FK)(3d+K23}4>VXo9ls@AnU46s&R~ZHbPzSw2t4aD4N?HPLiDC{|lv zew{1)#TTp&Vioy#KUH90O^HT@=gN&+e%I+$(2k0A6lNzl#~38TFyJ1ke)z!NG@b@J zo~-`$eTNqkvlL?s9tb!im(u`4KjnhZy3WV^N`&=+=4)+XrflMI?1j*J^DYMen`&y< z#|Ljm#@3N6qWTicL-@fEi=M(8hf?<@_Lk9VK)?f#BRY0eY6@`3u&|6uDA`QePXuMJ zCP0?+NSV@S-$s5+=wm&UIkrf;#%!s)8h(P@s7?tLFhK~ZB{bC<`cYaLSA``80>xbI z_zK^i9I=kL3VUkxosZgS-2xtRFiq&xnqZ9O!vPLa_SZT%W@yq-!|e|xYuq!Ou^0DC zzL|r>5s9mlj_z?tC2!+(jEu}}?)1%be!(dvJ_Xyvl!i_y>E<}B&*zOBPblW2{I#fxqu-YYLox zPJFAh^lDUvKh3gd(6qQm^|?5DjwZeaVXs?ij@aOXYIi=Ev5!^fGmhvmE28%h3zdVt zb`iJ+T6vrbh_?of4t$s~H(Ec_)$G$V9~%d&!a0Jo%`#OYcCjmOX2KgEd3+88lxq{a zVKt?B2<`GnV4JfIZT%$MMg}7?-*0&)v_^7d3!!d!x0?!@bk7Z5r&u#RPpXDQ(XoC4 zT!U6UrRHU1xeOjlb#W>l9h2#*2S1baQ8Q?x)_0uOgPk_4n0MpH9ZX7I~;maHg zXQ1LU_H(nn%@xP%$(DW%k2-A+HO`@_=K?Mu+@AjRL{b*!gzuY0>+iE6S{u<4s`}^| zF$@S*Y^U|n$l#AGwo@PYdcBcFkHPb*4oruHZZ1CYu;*1gPV=O{On%q3@2J02toNH1 z4w*O`+s{#Q8_r@(bg9|IE{{)Jty-?(VG7mldcsd;F(x{|eC(z(__XUCMQ65$Y#KB; zV`5uyluM48zbA(`X{dsy^x(sH65}oIKO~RW1962av|#}S-Y6f!LTI_xtn;n3_hU7R zx7ZtmxSR9q<9TEgYWiBWHN3;H^5r@^Q<_k{LCqDaID>1P4V>ulvRFNDzt4jST`ZjJ zb)>Yu&-!B+NV+6uPq`^m_1#CGF>C~V%oizBJbzG)S|z1DFwm8A#g28s{1B_7M=Mk= z%tMU@W)9*Q=Lkj+Ab1<5`-jPVfp9g)65|auNhsP=m8j?G`{e|fE_r`*dCrCJi8`SDjNh=-t~X^zh^P8Z|GkC|y}e^9A|$S5?;TQ_&+oHg z>@vr9JJ1r&F<3oVk^RAPx!d7vELM+~80Ry}Iz5qYOVcHMf>DSyM1pTBRfy&u!O(rb zk0xMQ>=|oOx`9|$e_&K2$JX*rB8KcElR(ewIk=P3)!5$x;eG(BVF|1mblx1xg9AdI3 zZrLO<+w6A6qoJLi(OtSIU*BiONN~dem+4qM%W{3DJU?eT6ArfGysaUOBVaU8h%=(J z9QFMnC2k(D#)^{y0Kx7hwO6olx;WU|bPUU*a7=*eCOOzF>Mk%klx8SzRMBG@=z`S|0{>_rpKF=_tfCeOi29= zo8v3QUn`pdrEQr_rRi@np>AW7JE^#6NsoOg(cCKg74T||h16mC$9n}TnWSy^HxYfD z$3*6aR5P1#eHT-b8CvYb8DTKOL_d85g~u#zLDy_>AG#$_q4Mr~c8wBW{_<|w?>lFC zludme)x88OM$wz-dXUo-I#LO#)Uy;{c-Vx~byfnS<_#I~`^=g03_Ft=2P8S}gbdrZ zhMvNm_3u=~3TkMhCIz4giB38Qqg}Ahr>xgQ8NSJfDAQU-Q=Fn-#Nt434k4n---hzp zXyJ055vm_aC!F)BaGiy1#uzszEOxx12cF5d(EF=>hrX|B$HzfCg zNuB(i+$A+@aIOpYHGb2o?>n0S%Fs#(==zF;kF1;N`)5x=y|el~Z=J@GC)Avrm}W8B z9R=>*J_;fcRr`5p0-dxHV9lR8?^tEKH>js0FnnOp)9Dp2jSk76r|`RfpWf$hu08k6 z;Lg-w&@MNO8H)Fs%^F_hq4!b8C0T7V@DOS62#y3F0&%A#D(!Sa=VAD(tNEuW#<=|InE-0-aIt`F(xrv-YQz@BGsLPx zYVI$43})rXr>+$v-**Wo@P@@UP1BrF5|H}cv#LO-P+R-X{J#4iK{r)?I8EVvUs3(c zMFME|r5Al9&KR8<%MpaczC!ejd6Dr_aV{FZ>t9;){=?aAQ;2!%k=4Z^71@2(= z@4KWOmp2u@+&>0TCD_0)jJd*ObdnM4f6FO?cOL`*W=r$R`i>)Ok}w2ecy4UV0w;@2 z@o!ZWOY;%xntb@A#`MhoIKS`mRom+QQX@lT;O~CA(&ICf)M5>^RvsS$i8WM)^9`q` zmYIIbt6JULXvYcLCsXn~Kwla7AecnrGz;GR>-)}H>1UFnUYW(q<9j!nL>$oa-}1Cx zknxRO-~15=z({gDmnrYo6@r1X7~P9ngWvi_Y`jC(@e|HS4-Qy>HYRpt`rr2`oNqlc z=Oawab$UL$-}as&6!w~kQNuh{V{AHcUZEiA*d}kxXt9}qZ+qjp_DTU$^(HHC(f9|0e>FgaXu2tiH z?td8fxQYokGt|F(DB>M#=m<5@{?9!{7i{uyWnfzOrw_Sp7b|554btZ<2pA4u%x4zvtl|yJNWnKcrO3l+(3sJ(8SYi^`!n% z2KWA({V)mV_*c1v3H#SNXgz=1w-Lxsw{+A2O+@$K`}NfSl1s>k^S6&kGDrMx$L<3! z{9d2>`l!Pp{nB0uuxRBuvb<#fmS_CklT&-yzx7|P!jM?}e>JZ1CLB*&s`rm-i-(hb zJN)auZ*RfL?845vi8AsP@c@C%VS?=J0o@k`xUZXdCsNU+7nn$$HJ(fuE1EbuT@wTw zV9j%q#QA9vs4uS%R~g(MVcvIXPp^7WWlSNqDrGRf%HHS2u0&njJC50dG_=P6g~;?A4b*z6vuiJVNYi;?kz*AOv(MR9>a!vP(E zM!GKlvLI&rVVIM@!)*B zS(A7b@O6ZWC*JYCgMOXGH9&SCQFNTcWZ_lsHq(lcCZ6|mV$vf?hB+v*4ehr>Nc->V ztF7PU-ZUmDArCS>{y((+$JVRbwj~Tc5Cyy|f)Gx4;cIvg!ked0SnIfm|DMRmmYI7M z_Sa+(Ow&j2b2#}|LV$ZST7wK=e_VuiGE-#fqD24YEUh$t6`;yfFAkYUweXRV@=e>t z_f!cg{mc}S4HG=Qc$+6RGEL@hjYFeO`S!NOf)QzyhBWL+WV(s@dICuAif-IBI3)Dhdg?5b{wb_-XChQh2Yx)Z{h~8}5 zYRZwx`P8Ye$;hqlHxnV>wR-i+?~(z-o3`>MQrTwTY$hu%t3l}|zKLik@05kB+Uv=? z;^i!|Psmshnn?SwLcq@NY-wbT2EVBv8LNcHj}EwDnHKE?m(3)Vw+KOuXA1%d-gO7q>Wvn zgw>DNz(A-hcX7H6n=1sAzX5$z_U(S-Sm6zNOHPq1@#cDE`JaHkui48sk5iplhrEe2 zTV^+CX3!N5#jBx`JY@qyJ!((i80i3i)bHM13z>?yUOb-hfGf0h)es%DEre#K}nBE z?odSk+V_|rt+8*)`{YOJ=$vbm$Pbz}I{@jn&$jp#kjdZnxlqeu=i#jaItk>R4z>4h${TwE9T$++Kxuv zeK+fHIx@#TKI;Q)xR_DqdfN{Dm>((?_!W5CCHi!|d)%ggIn^T;<&f0hAD zR;6xWAE75Ctz3-A?dm-bo6V2P%@^C+o!~z;kAYj8t->w9auK~S>B%|It{av?2ZN){ zZ&2~32Y+hN!u~-C9A2@n(XA>tUW!{)g+6~9@mS!j;r)7-l4%O;rU0kRzk3^1)~FZ) z!u3CMPoBw0o|mCdMw!2dR1bRvwo2^cXTQd}QiqNg=?uV+@IY<1^ibrG^r`j8Y(aVf z7Ur@MYs`L*Ml_se#?U#}%cZGKt|J3bEsFc0s#GC0#FjrJec9cX)Iaze#r^VX?f!c5 z$AXS8_sEhP;x@we@5#x6;suIIM`p2Gl)8)YyLa#;eEWJ7O z%Vsbbj9|t1l4DYka70gq8~4LGS{rY9@VG2HEm~cb^E%xH&?IakJR!fDw1Kky1RbKq z5>`VJmMQ6NOMfhd*F3tcm6J8-QzNW_(m585A~o`!m$5T1r^Q;x-Fef3P? z^GE7U@J*JUF8Jw*sj1%CneMtU_PfY|=7mfge%2QP-544BUuhR)`y*EoU%#`$f7O0{ z8OLvd{F;-!Wt)M`+`!>fN!5r zPn>z%80-?9&(~?$?3GE8_QWI*I6!#)kI=1A{ZU~(&9OivGpb#&a6uqlV%gPL@9~VX z6fZKHmUVw21x7H1kpSD8hNb<5`fBUl_b)uXQ*A)Mc@~|XblOtYQ)?{00ul+^GX7+J zxCd?ySI&3a280XbMX=GJBH!24tKGWV1|!_#w5clxkKr46`lnERu-4`feEBjJdiwzH zH3ovt3y7WoApb`KZ$@yxn`?%F1E(Dqj5t9YhX$?&ZsM`2rr*~*e+`>ot_GPQ3jD02 zU{qh7>i(96R_1^rVzuy0F`j0}7u!fH$!jC^lE)yHq?jaxng{m^hJtM`70 z1@kf|;2x&XI>q*Per@+xBTVZd>lJg> zmdC#*vQ6Iu-$%F3gUz|0J5X^-^CRas(+x5-zPOJ}))TbU(GpE>7NK4Ef-*Yq!t(s} zRG;_)2T_gYfEp1M&U=G!=R`;n)|@vdyMUKvbd*l=u(`1Vg;@_azV}D4(%~F7OTr8+^>U8ftsMV`SUfro86Kt_t#2x%iFNxTg?7#uWjBrTT0SP^AB!x_~$K zwJF)Tp*lLBJf*%87Hd0>A=&FDrlWNRUT~6=2tvm@>7`u)JiVO|yEr<3!V_TWTjruB zYPLJsaI#NU{-66^Y9R7aO!qf>h4Px%9SSKX0>sJ|@vk%VV#ZL3tt+>l6EXZ6n54q< zeZD@z4=}7lM>F;&XRbwOyLD{m-etF#zA>gP&n%n31deW=x~lKXWsu>AE{VglkYx{- zVZB8hy7y7o|Gs|dj$qGFOZ2wScm!T#CQMJ&hrxwmhP=6tk+4O)W!*MwufcJY&sg_@Z)PF(bBKKEkQ*Q_$DvJxwJ+( zP|r}l=SS!{z5WHw&$126mydb1Dq9Qa0|e`^-&Ydb=`wUbRfK4Q)BJ$o0wt-6sXSW= z{=2n>3b@`LfE0>bcqIqn0L9MFys{67f)_QkhyC;}UNfEUf8)34X~vY=_D|8QKe1Kq z*@yp(ty=%r*ec)${fVvWQ~Fm{9L}T7H>pWTZPlmv&d@IjsKJXp52>_wx8y_Q>Wk7V zxqvh@&Zw-Ye|n$-ukBCmuhdKUYsF?=WAydjLzd}8QVC;z&=}+I$&4^C{po2+205avMoHa^K-#HW zX+O;b;}Qeb8BNz~Lh24r3|^&>TiNNjF|`o>RqR&-iyz3V;AyYY3!e*w?ZHz$33tTJ zC_=WaR=kBdazlJElM(g>J5$v8vp;?|vS0qpqi94g01ffcOe)4=I-E9;>3!V*ZyO)# zU7Cuo&9G$nOmd4bS;;IRzxU>fN_0n9jTVV;FPew8gdNO`5DwaSGb9;WHK+|~-*1g0 z%gsHrc?`E8Ut_OC<8{;5U=Drd_svGV*|h%uqAu0|e-Ui<;4*MHXm@lfsGX1t1+&q- z*;U*m71&BzZ#&oc`TOx>C)?&tuA(Ro@TGCxP9Y*|w>k#mX#o~6M|1C0^~p&4y;gys(-()^os*Mce~P1EdC2htoIxEb4QEXxyckNdl4d{I3+qcL$4O!exQ z=*H_ewqS3zq4JYIGujV8@Zh+3R+QhEfMp|B6pd5yf-|4>$o$f$y-(c1DWVLU8`1N# zUKK}5J%bamODx|NTLQL1fh%p#GtM`b3-ep%`%UCUbK>1K0xE$jAfDo8M%rOM}438dZe_7aUbAK&@M&)Q625t!I6B zvk{fLM`VvveGN_W{&iElWX@5*C|tRZh6Eh3HKf&mA-Ht=ZubggK1ZlYy#!j@K!cbu zevbLfOR^tyx3(d#Z39Ns2)LT3j7jTIM^#w=De#xb&AHR^&0pkB`h=5-Ah&${iOYt$ ziBRSZ>YQHR_ycvTHCdXJE7fhj;2GA(PgKMK*dOh_l?ZI}hBoeq5Tn=WjaivMsH4=y zf(g`5ZS%>32s1T?e$zo{Ur4{pwqhKB9F<-hu)W3HZ#}tA=2EEyUjsL+k-u}ef-F|V z>~a|6tf$O-+yMTTLBqlHJTqc>rHU~`PvsV0xci&6a<1dGb7N0io}AhEX`QAoj6eMB_JxrX4L*k%rKEd!!ljVM!Xm)!WR+OrhS^ z`t2Or07q17{$L2Of6M%VJ~4It@N6hM+1IpmiG>*r6s6z%`>9+nZ_EvS6H z+sJ!i_aFt`TI2e~i)u*cFuZ}oN9=BdNoUV)*I=~)&YgZvfXoSJq4Pg{3})YEE=V*$ z6{o($1kNk{B`1~+PE+YfkdaMk65q7x`$BF!iKrp|b_c;uq`01__C;zNhTe z#q#tFwwTj$rYj<0)!8{D({Hwt3na_&L^pbfaiGQs6UQjQ40;7pKW zuC}4HVs}Aw{X8nljn`Wy*B?u7uYoAj$5|8fYm&bpdw*eDe{W%$N(ySc-b?6KKqCKt z8!s~gW|>4WL;yqV@m)w|qDd@u*!Al8`9X$^qh3dX1?~y_02zlR%%p&-!Uo_skxpE} zdTQp6=4l-H)XKpqQa_UJytpcySws!&N^x*@v+c=&^8Ajb0lN!Z`N=Qn?DE&FxX|zH zaWnP?_4yi7Uc0I(Hq=&U`f7f+X2;mw+@Ic*ThgHgmZ)aLJJi-UXLgI;Lyd%aigzps zwKyl6_{@9d@MEVJ&Q@U&6ryIu`K_%umvVR9wkU1C7raed58@%yA9<2}R&)gjG6RiF z6Uo@&c88)~vMt1*FauAmyO8GPHm<${;49fv-^#Gai}{hx#sauZmg3HvjyIy-Aa`6u zXKVQMP4aKa$TIdDGU{VMaU#lc$`B7A&0NA(-n70r0=*Gy>|p3^Y>M3ggJW8Z7sWft1J@t5MKGswNpE-|LNyEKAL}%TbIhkL*!_n zfBGXRDE;Ij$(M9Ci%{RY+~bEZn!ZHK{?iAXjI90Hk$?4rbd9n1$7PC8oSe3exWNoR z^{M;Mno4>oSVE&!+zLmFKl(TM{8xRN3uTi-Q?2|5{HNde-+dHWf!1}y0F;TqR=2fW zt*hP6_i{+1?G4BfnS#paLjZsJm(VMi+q5^jUY~C@ zgvQHdR=^g_U+vj@M4WafH9>5D{o5C=%F4~Ek}J}ff-UyI6xm%BjqXxK;TWPk2MPQz z$~@mXez`Yx_rz%nlQ*fYVSvcn8nyDaZA;d_Z$>^C+zzJrdd>a~w%^x3>;1@1^oc0M zeV7&byICXQ!Fc8mJ^UwVm4k^^2^R#Ikk75RkSSa|ASNfzy~j>}TF@#Lwq@Y&eqQ*4 zC!O~yhQGZ@pImSbrC%q+{5yuEKAVrLcbHxeqmpW!{b>)aejji1a|8ZyTSy-Pz?E#C z!|^lpJJ1<<9?Sgxr#U8Z3k2zj_e5fx*5R9HS`RBgs%QN^ZI6xqs5qGGWS97tzaN+* zRY(k}`5G`iw$9kg`1A!pP*&O#&#nYW^{1s)YAiQjAQk`wh%{Ti6O7SJA-xc#y=004 z0OZ8sxAU)O89M30EM$6eZ#!$&;tpRsxeJ@{We!RLO5Zoj?SKIs7#XJn^z^CwlJ{8N zY~@}qs{m{pi2-qU%)SC+^8!V0PI%gX{*60$-2!?_wfOmlpT7X-Z!#JhD2mDul6dHotB zPGx--O-k~<{&hPG)@&3Q#SpLto*s2EV+;UCL@s>LcoWA}Ue`Dd^@#8hQ zUlsrhQag{M-)050^G&je(8g#fQqc#|w}37u5Uk}-Sdh@;Vi{HJ^iORwdEC({o;J;Q z;94M2;up>{Q=F;osZ(zN*%wc@?&Uj6(NhKimJ~H~)p73T2=RDwd>;1OW@mq^vGY(|ynL z{1WHzR-~aO#?KUc&f<*s|Aza2$|76QSX%BEx>vR9we%0E+GYB_r+4!?IU_+BDvUwjR(IxMn6{x?Go3(*18}M~%jM)3C|fdK#O& zzYXsO)t@&%C4y1b*n4VQ41Zpc7FGVR?DIju{H=lJhNtEu!rQjPzKU2exN==RggaIbCinC_ z3@AXQ!}sqqUTYhI(?amwtoy~siyJ=TIpbv+IT;)Ry7|u0Vf3wHkp5m0Jf*mgLIA73Qj4LPT03Zxu7Q53Rv-HCGlg}Ukg%|tuJ+-8oL9tk$ zV-7jG2a8(6#xmBrE^>fJ9BmFT<^6k0v)4B^l_pBdiQ+=K-xUDS2>-PCRoJ66kirp%DL*&fPMv3Y{R2o-zqbqZjhPSC-29~)*9*khkGG;@Vqx4$aXl(< zk}o3`kI%-3Q2Rhki1+4p!Q?%K)5W7uy;%qr$)dEC!#C<_0 zL0dpwa${~we`t*!_ma^M?|TlS5(I1L+LLp(Hosn*uLvapdy$y1?*#7G&jlXra>={6$ z6o)XS5Lkpcn5QW&*v+mop5l(YP0}>4sshI_>&-CtImvVE#1kN|9=AoFd_J()4~S;gJEemBCPj1MV;5-2KsN%@FH+w zGRrRG%aw49+)~fBn!v~*5AH6*l0YO~>$4i6^H_S8<`DQPnTlCE1dy87L8Rq0&K5ve(TNPzv2U6ygL(bt6^882Ehw%#1^D zSRZF8ZzB1zKKe@phd2wxTaJ%l$1cuHVf|MumikOc44OPE;SnQ}c{7 zR^*{tQ2|1-Zs9rR6x7$_Y2Xb!tJz9MN3qkzrwY)|9`Hl0YgPE^bb`CiX`YWPXW(-+ z?{VnzQ5xZo;I@(Uq7Wv`#r)G+o6`D5YzM1#ggH*~XBMZ8a_>27*!sN_>C#JOIn8>D z!)(j^hUfj6l*vvB&@8&jTAPKJ&$?=gg^*ftOt&<)K>LRrnZlodP?HJzyOsT9>{Py7 z?g%Fb4y@Zd?MmhdHZOQ$oNBe>-cLo~)S2VwDBwz0GO65K{{co^noAjWk?;xCegN!T zfho9%#13>>7a1ox0pprl9V`Wdd8kQ}do)esBJTaIr|(XIo!K>#X#_F>b?{$zB;U9x z(oSe$qABKik=NgPKKmRdv)gCcBp-{VQf?Jq}&HGNg&WUb@(YMA_ zB|o_qVD%7Sk}&{9y>D_5^+G#YvGtpst>lx*ms%xpHW&kH-AL&B+O^*Zd2jnQEnldD z$HfYIKULI^vMlXrAJH2&j{WL`V%smkeTBl;$F?ue%=Vj46yt>U5F+m-lHmC#`9^Wr zO5fkRQe0gi-Yb9Gs{w-C$R>RNdUX`?9p0#mudf#L*R7&RVBXcsXX%MrM+pUqK}RVg zn1-B1Q%pdsQwInw(O!e|3IT2Vbn0!yYk_zoinS{j2uu$)YeubIBkKN!9hB|^VY5G= zkH+kpT(aKJn{cHI-x+?YrFGmzvfC+Wl<}G^xj#|YU*Zy{JLL@-IRZ9!v%e;r^0icH6}-YKCzrv_J`aGJ|9`Q;Q-Atx|n=7)~n z)67Titnar0W|AQw$v4-;$N7d8FMhi$%D{jwu=UFjiA`4D1v8TBYgEKNYifObxkl(tB7M}k4 zHzl)~r_DZgfjG;zp=Xyg@iSKkokx>`;!*s?J?JG*-(zg$*y1S8kf~k;W|TOPi8YmJ zCVgW8R{Ip);w_rzRuVsTm6G|Gjkt2kC?oymy((B<69O{TlQn{+aVT?A5E;v~QFPl& zKk>XE(f4W`q}yIftiqB%5Bc&0!5Yn>hOh3YbL;t|3ft*e2cyt5>?4P~*U*#aMaDI_ zlIb(n<>$L?SVXOC38V1qCUkmlPZb%~?s=oxi`K9k9>A2D`=5hyKZwjf$N3#UBRm?I z43alAP(Y|X<2-h!QcKtS5#>D$D$C2x0pK6~QN~nEw zY;qU7dMR6~Jx^Odak#ON0!HxUZwNS|1@p~|Ie5y=vULBscxP=)J;woM3;fypyyYuN z2779L(AR596@c$lmpm7YoqS7W3OS2Erc7VH2z)Dnp?)){b#znub0~)eaTdsggJnUE z`T7!;%8Ma6a#+tBMocFf=>=NWRH~oSEEM`J&X@Pq>XuKWM*DeIJ1Z*U68MCzs}UTg z)qIUl;k*h{41qTSwBd^Z&pg9$kWE&*QUV0;D-xUWv-fz*^Q13zh!RRqOFjoL)7iE1 zQ~ciFb#C#<8DgQZ!;wD3xO*{`CGB)hnBYRjQ`Nzk%6*KU55pU|&2Lb1#r|fPQneAz znkx0;YIOfOXJuxY>BOoY6Vt10LqiUgD(j@Wzyz+6Qn|ZU+ zcNh-i3$2{>lG#MlKjI5oluUfiTQETWS&3~tXUF5Wo#8COzVAb`ymlOu_CNqdK)SzE zG{N8znP4Dg0%2FbAjRNs2UMFQ7#wy@IeXNEaZZ20>q`nd%>Yd3a`?+etnplCj||_} z+JWal|3c==&bHXd(QvD2>-)(DC~_sb@=E!+_K7hJE)&Ys)_6?gUY+{AVl!~*o})M1 zTLW53(4%$N?zFV~pOgys()yEG-_bRzp9?0A zS2=d1>5gnI0rF;xaIkNMJADA{oxB_yGM0R6#Clc(WR3y#2w90|7)dzPSV72{qpuhk zmKn7LlDyhR9-?BpB}ay-z^r^_Z3BrMF&Y5Tn&4iuI|bX#XZ73m%`ZM!%9|b*T5_pn z+g~LccU3NtZ-t!C#NG*UXA6f)q+80qHn#nhFpY$sve3;Aak0W2FJbKrIem>-V~iE> zlX2E*UvG74l5~m2){05Jjj%SF!dc$7r95A^@k!f&ln#wZRnMU9{u}5lD45mzZ5Bee zX_PCO2-SD_1zsA7fJ$lMH+0)nhuF=tF<>X&i~^8OUm^_?1W?0gNZAy=DEol`oT`O7 z+K&Z-=!k9)GK8J{TX1S_5MnYouqXBGUf6EBESE{Y&j3lk4D_b>cg*PJYzvLxcE;h^ zEVNLf=J3ziYm;n^jnVFMcvABtz60tcRg+!qS$rzaofLp5>$?fPK@xl4GrkmML|1C@ zezQX?UC`t%drUzQbCb@Isqq$3O08#1ak;gE+alU}#TNA$ov-S+pp-$AH{vo(;>D2w zo5kky&hwwF**_uwqANHySJvU{zud@;(#p71+qr=`U`ubudRwm|@2~b^Cj#i69vn7I zY74yly2}s&2%g};11A@s|ufX-m z0TpXR`CjQ$N~jUZIzRx9TG9>6ZbhJLlLL7(JoNBn-3EGA$dgK}(2dsjm0#=Q&ZcG^ z>7g5+#*o2g=p}MEE`kI=3>lqzWM94wktFnnoljQsf0k&&_aD!hascGpwMiH9vlp#P zbO>aW4CsROHNt7(j#Oscw@?5ZW5yLqbP2Od(DtLmo}$`e>1Kofc%MO50}_`FiHak^h3+Pza92O~99+tsm$6vvMrvi5O;Y&U?P) z50~9G16mgOEln!Mg`>gAfVYE`zSHj;4L{9d-4>gx1UfA+D`5ZvqZ1GO71fB+B!%(t z%0y%`PBV8U#s`{W=a9w5O%8XSB*bia1=o#$jjvyEV*K12XTKTp4#1c!>aYqaIwuB1 zb~zegTJ7gNEXi&i8o`mTJIIWWYH&%L;T+yOK(b%*8CoIW_&00qsJSQ2eD&D zfA>B1$yY)h@075AoyFjKRL$?J!A&`eIkY?YmlwY0Qu&_37=iR{y^$uey_)LeB{q@L zG3qyxB}rvkNb8(mUfTGRf7>9)sC1%%vL(rn-@p}QO5=9R)gbj=mQOqpW`GJ$uR;rv z?r%I}qjQVd>e}DO96qo1JHEqDB1-i_i^)->_usFZ2_oX@v5QLTdvU@FNRwLz2{$!S zD1%1xg=HA($%ip(?aJQ3XP;1a++RGie8}{8qd{H0!!Fq8>HAh*vqF2hY8hgh(O%Y^ zQP%dUoVHO5z-LUon)h!E_GJ=S(!l9V+LJPq$(vA9_UAJ~Qypua|Ka7Y>)J%P^kRMd z3N*%X;W$3BrM!@(4MT8UcDZqX9}7>mJyzry8r@=e&%*SbGzEV_AFGQ$^}t>FPLW>- z3%i$Tn%!9B>L@9PEAh}uD(!nYqoO+#Xgit-;MF-!Y^f0ZE|gZj$8j6i?BHwsb^td= zUfp6-T}6Tv1YG}B!!h-)me_Q>fq&{G+yv$&R@B%;N}JTZc6|L>K1lQny0<~Z8h6F$ zl5p~Ehyl9x8^OYCL0Z0o=y z-ljqkt9+U+*s);i%U*k&CgJcP12_#c#ekGaa;UV(vs;jq|YxZ~8 z_p;oaDyIn%iD8&AZx@fX#}Nz@qF8^_pkAbE8PTtIRB6f! zF3?xN!VReS`}`rr8)VsALTvU9f_Ps;g6)cePmvad?(;n&rf?aU*KRvS8Nkln>mzLp zJB>P5g=X1JSdh||DOnhxad&I_%Z)PJa1i6>KYI?+04R#XTPKq>(AzH_ zGM}IK$4|>h>{Dy2grlE(Zsm%`Q+Yo-u&2S|;jg5ZE|{Q``o!EX%E&C4jD0ZAzXYg3c&AmMDHQHiGLWg+dwL_)W>i5Hc zmz~OFUVa4~w#@wNxMd$-{&48AKY?!V zQS2pn6t0`HuAt!?jkYDorNi_+<(6JCP@4FyjfVUpV@vhe-?k^ZkL)i$AHW)kJ$pq* z&lfdU27QMk`gmf8T=(y#h@1XaSy~wi(Ryi*pZbf{L@go2uQahTza?_z!nyM@abXuT zh55WqnvNC-tO82~lw$!21qOhc7iw$d@3D>oy>~{rA(Be|Iy|#S8dFsgg;Ct4L2>U-t!T_L*ehMV5#!RwY^3?0zfv z=R7iwR;hlGP+*KLUS*=Wd!M(zwm$6=8@11G;gB0wm z^)D{Sfnz0EP_7~6T_SNT2B%Iq!eO`t1K12Oa>@CR>v^QdF+?MCh{85H- zI&(z9(d<7pv}V7yq|$Ww4_oe76d0W@P~DAOfpBYH#FRT&vmKa^Tb##pKD>^G;aCXa zm{0juwC)-#Rc)3-oDt$xXvvE!aEuIhTN=I-%$G9GEbcO3)!6xwm}VD60BdtpRaI%fH?A7sJOv z?Mvx%c~*g$3y|ej9pc&aRt;ne#W}o=<#|zD?v*))Uokze_lbx`u57xzP~IF;=^uDA zIHJI_79q8Y4H8}0(>@d)LSYsfm$-%jLhlPmb^-*y1cHLp#g82oku{-^m9P=<5bJRc z08B9IacZF|YU@J-Z;Or})Y7pEUe^fxD{H84)8lum63>z|PPoF&;QEUNj0sZ(io@2e zE=cv(Bfqtr3BI=pMMZ@2+Hq~JdRCxrUK z%s*ifPrO6mJ@H7Yf}Z`oI~)3hnt*?umbXs!_4mfJk{?j1 z!IDgR-wO{e&E-l^jiPB7CA9V?npq_fB!1ib^4mtlT4C|X9I!E{{ByPO z6WJtiHG64^wdJPo4@aR-MjxAcT!3v9^6Y|*pw3p zy09sq&|{n;(hQj>d`9B8#hA>W(@kqd+470ycaaD;KL*G1FvuKqud-`5mo4=sGf>WN=Tq%Gj3O_ z(BCory;Oy-E~a_$oGNmK$vnOK#c=Mtn_h9ub%Ef-#lQ*xfJtS#n2Wz3PE}86t%}5| z`CwYiHm4;qxa-}}IQzk-G-p;njc>ASZQ6-PNPf##G%=p`_>*D+?2}jSYMWIBe`aDt z0wmTzADK~@&bhCye4Aepcs%QqAn2#iQ;dF%aS#Ma=}daIE+MjCYH_Dj?%`NFUEN6O zPrrsptA}|3#{I&IWx3krB1|XQt(iI9W-hH@8EFn1iWA{My+{kaMW7`QqK`&5p|B$4kE- z|M{KuXnmQl^);+_{M6B(r_Z@^4gUF_=-kV%Ts$amH2RzC{ptWvzOc6DXt~b6YAke7 z{m0&NQ}JGHS{WdEJB(-*Xgu3_4g%VrK1C)|yqRK8*CV*(9e<-ZkZ;^g!z1V88U?YAquTdm z=BfYM`xcGk_<<%HdanTVI@nbCLM4-k(sc`kn_NP1zWS4q-+yGgv zQUI_YK;DzV)wfLsfXcUd61azCAd)eXj%79pN~*e*?UpTHF<6q}5-18~JED z8#Jedn+WsoK=Vci>0l7t`u+_p1f7li&1wkOAE?54F;9>70GuEq0j4UUoeUYkzldfz z68TTex$$k~_rJJ*dRDrZywqI ziP=l|d+pA66Xf^zU*G)~#y+uqN@>6U4|pH^9gnEK!KMEi?LSTPB7fTZzJIq&`eQ>M z-DYZr4FOP`&Nmc>!bNJ!-(R$i<2}B~u1_kfptIV%hpS>>m3wunuqYto)>x-;uOik^b?)wu=3jGF`I9D1(^Xe(?P!V5GV;qRL^ zN@9(LJ8l>*i0%AHSI8@lQD(rl{E+{;o7WwuXB%f=U0*zfU6k(R`p* z9H(HO8Z*oLedp5o_9|i~kuBZl9T5>PE~N5S*R&OwCV{0)_I@iw4#k0Ztp zYy6$geb@T_nt(I2YqD?(39-y?Smvo`iP85uzY*yRY4DENI*0))>`LTT$TO}?4)3)G3%jRw{;>{NGB3}iGO}eycR@!E#9QE zWS&1aF7r=5(XpoXufE^}KquWdEXkI>-y_+~oAa=r*yuj}xw>JZynU{0ZmbbsMf{VB zf^ZM{lu+%+?$HmJ;?@FoCwdd#?up1Sj8=z;C*B&M$DZ2ye`1A}5s9stNZ0Xws-^Ta z3<{Q8uUjwK;!2GAa1p>lWLmwN%-1P84ezDQ?WS^XqKumeY)Nl2%zikko_mx`H+w~` z`QF6hPH(XQyeYtRLyvEWTpxV}mWkik!8F`!-m|Cv^wpXxQ!)#k8~*hD1H?Mf6F1wW z8e8o)|GB{r7a%e#x9J`ykV)J#UQ6z$gQWS<@GBB1>ihn&sAS?d`hZos!k4N<5|!gtPAFZf;}} z7cA?`g8r1&Tk6&1^ZH(-zvyUGWlkYw6Y9PXEECr{CsEX)L7#v2UTX{6;?HiLZ;+Yl z-EL2xp$p9qV-endy2lTZ*aC_$?ZlJ)#pu01N-t`&5tn=tVQ}##i3pPNop}lo*5CMz z>3oITRpC4#3#%p>RbF8_XVEf?F=ivbT7$nKwllvkQ;L_Lv!>{62NeL^2&uwokgR)( zhyVIQJnz0@^Sfz`rxO6Va&tzc-u6zY7sY+G%>+Rj9>OK#n6t(Y&-3$JC3ez|-EhlD z_M3igzE*dPrarDZG-BWI!o_uj)TyzJ0*;{~7k9RE+kBM+@H6-N-uFIq_j>&J%dO9i zoRF_Kt9++-MCF}@X*&MSjq5nTx@jPA$8j3GW!?Dd453!V8^6#E_tf+NMRk@(i3 zgJ?tKwxRo}wc6u<%1r9H3%-6e`lKNcBA9mzhwCO2`D1t1zh72`YOMd5=oP)jKn=`J ztG}Fnio+%sa~+yts^#C1%Ww)jlwFemK#b$WMTl`;NDnT*Hu(wZY3Zga0{I@^)T)Ho zts=y4CMa;hytzh3()xRI>E=~BpVvGw=d&O`r2CW(_HK?mL;5dtK7;FgS~rxBkE{vM zhp|fnXA18Isreqyw#7%SCCH@{6WpY_n3L9Wn}IOBTJ8+D!HPszc1f|eR?!Sp0eiFz zS>n_gH%a}}W4!jKCi6~#h7B0?C1W&zHAY3W_770#d_$lpz&;VOOfSiQ$>>z;k6-RJ z;=mvW$~)4#trEk_%)n~3z5?5aMDoQ5qyHSpy9{#9I9Ud8i>}#4a~hGz5Yk%(R_)`T z_}sUn2XlQU9gDn4w7Fh??>(PO6WnO90vaN0Og(D7n~mt)k8ANp%ape({|ftr+K)sm z1ITx(5rw~zbqt>~T>6?WMR2B!yWly)u*O1M+HNrY5JLlSFU7I6oFTB&3PKSBc-0|7 z)x6R5;~h(!3X^-%YR?tcQ!`rN*n%-G3KY5iDiJ8AZ)^C+FYT1K@$3qS z|M>!X99Y@H9^k!isT(s7oh$CGwdC`gWr7O-@ff4rOFocJbm>FE`y8I`1=g*zp0Ox5Ro!*=nUpZPzGyR}k~*>n>r;Ju-J zy|e0IJH~aMiPCo#>6%T3VQG zgT_3nhNCIc!*$dLW~l1abf zZ*Bdt5-lpK)KXJ(wbzR;pPv46qrefX%fe>*lS zuX87*B!A!2?dhGb!EkktmwjUike5s7&98GC@^cPc)Nl**<*;&E5uXM&N&{7sKYg4; zv9K79`Qtz7wYR_9Dp=a`NaoDoL6|T8V6(UVAo%Kmm?jDkRvmdn`Q(RPqJA0f2iN+3$O# z-xLB;;MhfXBC+oA)Q}Iv1`DNU_qdhnCJ}};(4JVUPf52>uzCsTGr)qTk8g6VYwo1s zh8dxH^({auYW0;r^#E8ZVSk+2yB$rw-j%%1ffqh=8AXe7rNasD8Tmld}e2$-f)x)&s zZ1MU(oD-{p{f4zPL^BoXzwlx^u5JQJ=Pls{_y0H~mddxHc6DQ`zeauf4GSE9{@(bN z9n-)0Bm_$mWG4QYQX*$>>drFMGAzHmy$%ZcQ_AXWAM!ZF+0viWi~NP~}LT zeXwnhzXbz2uBF#WS%jOIm?!IiH=ojV-k$i5vAXZZTKC zMtq}V7>=OVj-zRC8u6PGs)DJI-l*&!-W)|U9FkN=!vay*@~I_kwfB@ZGG~I~(_?~# zXyY=jygOzj2Eis+0%WUq@X{(yMMw?BpPS!1(>= zJnm^}$?ibT)(_tb^jl-pB}P{hOwxobH)nw5`2@{7{f}S&!rdI$#W`d(g6|N?{Zw_@}V5 zF?s*g<>phfP#!-!M@6+axf}SSg1=|hUavH-1ba%hxX9mpKdDl;C%;#3sm@Wryk?XHox;^I^Tz|8LHRx8phAKA`_Rk9MTLKQg&b zp5XuGImh8`|Mi?B88XTfSlpBTaklY&t^deP0WsG z2K&jCesH~_utA@28Kuyh=WJelY%>8vHWiTfaOeLT|DSw|$e=0yo~cM43*`UnS-Jm@ z^B}2|KF6j1Yn}Zrv`QKLpL12ci)nhBf7XB#p~9EE#{YWee!5v20RK6s>jEh{Z0w|I`D}x+@sC_*TgNo z4~JHt9v=ZsP?^udsSj5@6lp>yDs6>+4w3-2dy_^-oMiw-w{qm|%MBUb3QiHUJT=Wh z_?8Oc`FCjw1H3vi_(h%j&ITwJ;H9-7i4p5%Nt1$Seh0lCVI2VWZLj`}YinX}M%t5` zQ$G>v5@(|PbJowj9rqrd>!0h|eY@Y$dZM+hws(r=`8RIT0ny6WQPR~9UHF(|VOI3Z zgnv=j#NzpQFvC@I~1bX^neT>~a68lH>Nh)LZK-FKr<6$0w z@U-7P)mnDoU*@%yMC#xgCP#nXKV;3GCc>ZAW}iCS!Hua&Yh#r0+H3adjU)Zs&oWl| zzw(sb@Qs-GO~ov5J+~bX0GZ?0>;S)3G+F}9{Jd?WuaP6t z-WBdgp)E!4lDWB)<*ywkqf=EB@pPoDfZ+`d}nD@}r zZH;;Stx)`<$$w!I)a5(BX-`cRIRDj|!|eC-eF6VFeE^D@hfAUT=$Xql+*HuYD7{qw zh1D2@zr*ex?l|K9frsNOKt%Prr!5m)7baOu6*wr?`U|8X21CbR%M7zfruus2+X3)p z;7G4xdY!ybV|v`ti%tKZa*fXwx|xo9O8|+lONwNFty*?LDOm-cRJT3vdH4rf>V@1p z3nCI-;^Bx+D#M1-sl!)+vv!Fe-(@wTF6iJelXAHNvHQ)zNz~x77+t*D6ECo4XQB6A zLbRqik6s5ap=gg0`3iB3Z*K2ye{C|C__wv3L4f(T(?ay`j3GA$r;p;~&$O|!m^;^6 zMp#rY6*%lZa2=%j(89M4Ep&>=-zMd9o9y4%ol(X?0YZH-&<@N2bp~MC*x(uZMlK@uhS|& zW6pFj(LW+ezx&(%+}hv>wi3$_C|{{su}!8C43{@msRuLfQsis3Q3& zee@n8?4>4u1pS@5+_*(Ry+FGzwcq2$mEe7UE-v5^j?Z5;8d6RKUA57WF0^%?<5&!5 zk4CJRO)CWdK+m5OpSXJ=5TZ1R=L6Z1^c@<$pp1bc1*hZ^3|#*R)2w%27?)aK`Na8G z%4H`5Y9(G~aQuQbVO^ISCgxlHg509e^YMEp;v`eJSU{A|-I}li=20dBLCPeC5Y>M`)1n8dCDB5xs+zuqfL2`2C3j=a!cauq17Y67} zhu9IUOdMvWJ7VC|YfBL!H4IcAGvQ{BUR`!@K?tsU5H|JEULPKR!(T5lHNt#7ErgLv z;*pkiP66mAyMlyCxA+MjFZL!7D3$kp4?J~wROw~5?9u2%b7Ulnl4H_34IRNzkeU7E(u`m}<_&`HZl za1iU23t=ghQSifCn|^<+ugq5ZU@u=Y-y&r%BnYxz8*?*94!igfbl_lcfl5m4CQ=7) zrn}~|!@+wlfA~xeDS9+7T&92OSD!hfOFE_ zI5d@Xe>~KVLmTlmH7}gNnkUzM5k^+BAwp6ti-D1Lh<&(($nwf5*djB(qeOrCVn7a1 zS|@k6xL$Ic_J#cN8lJv!Zx2E4NU`;*s|qC3!DWVoi`TMNgguJ%bCY|UJt9C{YrjB8 zjh)7u8>jqJSfdQNU+%x7A`w|^&y553r}ko>9&~SOzb#&4%ap<&rhnTbZ>sBXl)uoz zSs$5Id96Dq-*bP_zJR%i3NHE%6ZvP9StnJ+pmS}uzRgN_6`1bkP+|W+^ZMYJ@Ojt_ zb;LL^Kq+ud#2T@XpW0b2<%T$y+X8e?b7@lRUmTy1X|DrHkXz9n*Lg+3L00W@HyNe~ z8ab8+*wW+Dx_;@aaLyV(U$I}>F!Md3R(Z>WQ%r)$w--=4Qf-z!A#FY$4~XjAk7jyR zB-WwJr?!8sq3*VoveGs3X7gcy_l`FQlLsmVu_jqK&SJfB6q=YFY1iqx=3&~^R)Ogk z?Z!qAt#QA*Y#yV(+uq*{hp94BX!+aB-bQV7zi(JOBAKsH?&eMqoB^YE?-RCo#>Ynu0SMaUJ*j+WiX(8IbHZA7PuG5n;R8T=w^!~-dFp2d%$^y1 zRR>Ua8?UN$elF~W$dKnZhJ24~<7*sH=S{O_@Jo935R+N?8_^+CCfoInY)x`qtUKlx zf<`G-&Y{s7l=k_8qau^*e)9R)d&-6%2_O#`?47Ki<>V$4SS;Lh-nSb3iLL6@D6Q_t zc4tvI)(8i+n`0sgNIB{8^dZa?>a!E#P5q5hJYGfqI_=YZIX!aoYGMv(yr`Rm6Ja=C z)aZPw3^}jgEnxBFd3{Am4GX4s@c8;auVQex_BJoQT%@I*1L~xCJ&93PrTU6(R?g`8g<{5J~T)FOW?eY&l9SaV1l zU2*kZJt+MigL$I?z3RGOeYF5ty34P-$q{jD{wYC?g1C9ecAF!yz@VFS z!wBDmy#1r=n`ewH4S+!;e&?H%jQAQi;}^D^_7iH3cT-H0_gy$|u~jUYm=9`cHGHnS zB^6`79*3TIH8uFDZ{SfK4K!@T$yfK(|0J3)=B*UCf1UFujW@Qk>7Xhojm8&SM^;7- z%73#pcE}#Av?n%5H*WQ@2mF`uPG<7G8>E}aF8q{AG<&JLH*?Xbotc5yN8|}@e4=^; zF4qbP4^MKKKc1^zZ^Rl{)VNVQ)PE>aK;7@(_#`$(-zSK#ZAPHLM9U;wT{s;8?HkmL?+CJ=4uOEoBJS^j z&-p1ntspg-C_<0e@)}~0cZ4>n-0BJo^fve%w|JXBv_frFQ`}Z`UN;m7TIRNa=V{H! zw{mPZ{ZaB0pF`d2`A%e>Th$8)YfhJO-!I)uybtD{`<)y6zH_ZT3)@ z{)PYL0{3hoM*uF!_v3!UB$uE?`Zl3pc?w^#+2oAo(*%E>0pKmNOdz=1jfHKN!THlG zJZ8}ayJc;nv&^l_=|Fp*sk&=73!|AzV{Nf6VJ^7slr>Nx192BlGM%d0zHo8sKXDSF z>M!$);SY%wp8uFn&t~Ks2nY$&Egw*+oV`>?=J)je9WDX;cWu0L$V#}`zBxoz%n35Y z+|NyVOH9&VeF#sUMr0_LsM}O>bT|}?yRfMFzw$J)9CxE|`@zW`=Z(OM9XSxfCSUPv zV1Wpg9}4;gDr0c`+|s6toSc&Z6j!jpmd*RqUcAJc`T@S;fX;-PM5tYZ%417+!%=O@ zinq{)dR%O$=`iS<)EI^f5c+!)Jk-9>dOG`U@qmxglSy@|vsTAfI_rV~p{3~z@~Yse zQOX2G^|`~lOMS_!#Yn6RU}Rn5ut;f+xMkcJNSm5dVCP|_+WHM=-kLEeF9N?5fzHMO zAWSIuRGUUZ!Q;Dr;yQ&$6KY4f@EJPN?C03>j=i6_C98lU_Eimpdc-tFard+?+!T+K zfM%QfO8oc1S9DZLpBGbGGs1FqNS(|Wbw9NV;G22iHGFzYgT&fgD_7zXbT*e~LI^cM zZNC`^23z_iS+xiE)0ANWCui8GWqU)3vp znL}gXr9-EMvEX$=3qOG57iEk+xVk$oyMQ-aTv$qzy z;DLe$Dmg`xHPBNQ(GVdm5^-?jySG+TmN(h9 zg)tV6w}yW6nBsZC6X~NJ7!^r%fbjl{6rT|09-75}#`;A?w&`VU+M`$#_V zM=xJSv>*iS(<8_JeHZrk$UXmYZY~TJ*X3U$(W&_b{k>7w3IFL2aX*{P2XfES{B=10 z7xDDN<4#HcQ7`d-i_3Q_8RFpo*+20Od)ZNXPx^;1;7<&_#{OgMBFtz07FHZ5msgH@ zN&ah`W`?ys`hRnsOr|9CKkGccWb?xnZW;VNUz=c8r1R`z$=F3H(EA+&-0S_5146`u zq67Kg9FTq5wdxf6-U4Ws1~o`&2*v)@HP(UKZ!HrTZeC8MYy`K3Yn3DrYs;@R`{OH7 z$y9;r+>V%NXl`BnueenA(Betdt$+Ka(*N*vh${Z~b;XGkP#B-E)%Tw<7pz+#{q-e{ za#UOT^xu3PKi1L1Q~G;W+dwOfCJM(;)4$($|2bEKyBhCkf$M*c^W)$8r!NWi#@W(~ z|HX&)Ki{ht^{O7G67fI#)6O2!CoLM(ET3%PKk916|Kan3cb!%L`MZ>j+4mxn|24nC z*L(f>;Nz2UuUxSi%Ilr#oTpD>+*{2r@yvM-{977ZPq{e(gev)XC<=(y>%%S>Wt0V#b3F~_fR8jk={xb&!OWQ<2AV22`qi*6Rpgp) zFbUY&YQ(S0V9z$hbB^wI?=#Wfrs1U4+;OQ6Hlr3p7EG{}l`SYt(-B zNaO9>;U*=q_`FvD;Lm`Tp2fj<3KFT6osZph@-PqPyr zML4JoR|sm4Uc*H2hO+&ppr>&Lt9FFhey@NqA7|WIlyJFrenu5cK|(nJ#2=2`D8(FN zFo;A;IXS2gdY;qWdyy_O5jFT2avG>!ROT8jy`G8qI`VlJE&e3R;no$lH3-;vUjyb0 z*l~QqE9c`@v4~>9Iw`e!&cXEj83Kzcc7)zO{(KR9Ok_c;*CjV3Pq(2L7I;Dg`u#z|PA6deEdGQjIt)|w z+^C|$6XzdX4vQn$!xfFkw*K^=gea%-H=!mLBSsHMnY9RLksH4HLO0|R8x~7vk?bSo4xAs=g3(G6lw~gUr_f}Qo)xlYPq^oPhy3()64?xY=L=!!) zG`^bh0&HGhxwCswa8>8%I3%8a>urJpE?w&=0hhc95^LNxN=PAGb&gv1Ox}5^^M~9j ziT#0CP`-trfP|;3iWxF~c4QIl_INc5=npwSk|)obOSjW`{Kjdu+hN%r$p}!F<8_Zg zeB9QU4!jRZ(!xe55k?vz1#(xq$&5OXXn2FU1)@+b?ZmCpC{0IwO8-rTA>{U3;jmHp zQ-AG%=)6>vyd8P^Y3)O;K(|wQe9|h=NrWu>lo-!n9;3tL$cjfpc}h4KEv9pn;dm}p z6KS}#ap6f0azrU=oU4DmG7V}Z82DKBzv63OmfB&u=lfKAqf2g0EkyqD$p!aXd*b4s zgC@QH{>)p30p~?@=VX=UhmFGx#mH>)=lX`n*AoII7@#au_2-W(SRnq6`5`f{M&a|4+UC??``Q zA55M+skio_^b{wE6TUB575)vXl;Oiigx@-obwIm!G{?{$okw3ivoX+*gh2!h`ZfL< z=Hfs>uHBPwdpl1Z@8445po<^ZJCnEHWpen=2?5P~?t)QeM-pYbCCVU_D>_dgL z&eq?iyz!~UFJlJK_-P_3KJe zTiijL7)W5{#CSu;`5Sg}%{(C{Hw&95@oRBq6Fi*v$vM0~{DWv=aK6T$TJtc0r~8@Z z`4cyNsDW@SH8fiCdQ)k$_Yn81{X1^E{aMiTeU1yj?E))oHC(dN?bByy)e_k~5kIN( zDc|bz_W=H+n+$)8MR6T`npRRjt_dDd=w{``H=T3-p!|}EjDyjb@4J%J2^%j$SOss& zxTB8%a4+!=3bJJRd=DXSrO#fLZcY#GOLC+bs6+%_7#VFQ*G-l|Z(!`pt zp!-#Ws2OjBt$b{=L48LY5W}+-#kecD3A~obr6WNv6q8**wP78{)2m)CB&l+kYl@b&p#~yT3DxCHy((9f%k)N1!V|DNw zNB+mTxHTJ3$f`1Asr>{c`vH=MFL$Ine@Oo0th)A4Vq>UE-V^DK8ZO`Tb^^RB2TETm zd@m8lG?8-VgjRq%_3)nhOF(swq5rv(h3nj1pCd#&`|+4eQ7V?nbv-Yg zB5a#`X)+2c*1ArqR*BkEI)pg3H#t)9C*XCBwr09*jBLCaQ(A=BpFYREKf$xt_bBnXb>w$S z*Pcr3v5^_`<^dNA(*W>wy{X;hr$2?lcPGn%AjqjqV2JnbuANclg#(vAzbD4{J54u# zwfGrX6XSnBw_n6>`;7&CB73p(Rs2i!c<$;T$n3W2&&G8%)+_AlgJjXE6xgSBXVfHN zMTT6Pk>JeM2C>A_muKI`Q519)(_5EQ69}LszAsz+1|dL@2&E;6!pm7D>-I2;mJKCw z$#zhFaCA|U4f$_w@Sf_Wc@Ox35j}p}pNoC+)!Tqtl-DrMo!f@lWBb;m58;DY%-`=5 zbwdk)dCeSZ!uvN>ZQXo+^5XyC*iF9Sef+uO-x%xK!sv?9x!bPsN8vI<`8F#jz!n&= zf*Pc)p8LU{h1_5Wn2thYJh8w)Mt!vs{RBraRISZvAGi$_o-(UofH96n5W!3AoF$aE z-`95sz+~>*|E$|(>qyg{N%cY?8f>&T8iDmaRnnelxma1K#4qBkrwM9Ob?n?W@>05F zcw*i?D*0NCQoeD0m{H>jJh}!`i-rLRuNIHw0E7G{Pn}vm>JwysM}KRUjc#zOE=+H9 zzq>(Tww$hG4dv?$^@!Az7wq(}>jvJune+64OPMtRHE5&erz$!rEJ%;udj*=Rh{8sI z&e1)Yc%ixPNCU7HjLSQkKhn}A;Ln7F2PBQyh--(2!_@rv>g8#;+=?&Ttc z7u-$l1a*;eKwvE++TTQ)eNgz5M+N+miD15=(lrpmla0KmWe zGx^#JMZaeHx3D)&IW%u_K~WS@ka=R@Z(GB59AC556PH!~AR=aA&2q3S91Z#WS;6eB zB1&pAk?L3$YY0$1^(6q~{_o;1yg6>A>OZlqN~C3L@5Ev?j32YZ*J&QUyydk?q~@Xb zpE(R~c6KYZy57h6tE#<`8u?`wl>7$IfjU*2XLFkZTOWOLQ>vho%r{#|jKN(LrXRD- zSK`phU#Dlm;8ec@Fum{*y0zo2FWzHja?F$W-WuYQR~;ExMugp;SnYe?HnF>4MrReV zM7>CH#?#TNdnL@3w-2@NFX*}`AiFyo%;3D|%MW-gH#W0B2^F?v_!Q5LwD2dPLSZ)n6A~31^J6ag0_a+b zTwfodAqMhqy)z&S+2a*w=OVq9I`+Ow=U2nM&*}H5=wDe7q5T=70vrKdqz-p#b>)}W z`|RF;_%m~&KL>^deW{XNw?{9`yI&uNT&puMIaFNt`<=pd5Kou9<>jBNGq`aG2IW)om=f0+!Lq8gkNJqrYG-L7wrkU1YNd1 z(s(OX;t9+x^rvmp)0Yk2Q(xyA{I>lg{5Vm_4EjRxr&B9@fL>oXUS>1)P`(*rZN$C>(6p4e*+rG^_E~P zF2G8b+bdmky`r6*gdC8T+sF~*)M3ak50fAyFkg&<$8<6MDgiqP9Ceso|D`3#Q|Cph zqVWcN_L>{HwT(W1?alsvk;b`Q8O{c-bW+nj`Ji~Ew0@ZkgJ_#m1jYiL^SyxOo8^cK zP&%o^Y+E+5>w9>8Nq%=^B7fyTfOYqBz%qrY?)yM4dM))#+KMUwzunhG0M?|JeKqW{ z)T?#JZSl*G*sFno{#L^IiPhRQcz$OPJ6(T8wVjrApf+lx&a48G(~yrV9sd z;_u(Ou_X*E688Hw0r2-l%(%uNH*;n(ebwx;z5w5*mL5X)-;5sN+y3F~j-3G@*sYT# zXPrN79epRgR|bLU@e;l+AhO-4j9sQ8LJd|zRz!aYiH$gV60Z%XHjv%0AX|0xTdYbG zi!k*w&K{$|YsT&|D~ny+n4QZ=069R$zhfYd28n7Fj??osTV|z;H6TZHx?#Fz?faYI z4vgBhU!GG2=r!@J8!ll>P3T@%Fgs%F)z#S~gz8VEEZ2@-;W9#z>i}WgzV?X`EiqE~y&(Q$Dl142IxN+)$QvrM5 zB>u9d8J(c`$#2RKW!=G>{(?`P5U_fBXu<0!x_I_~@JSu!Cl#9C7>)i1DeQ1YPIc3c zc!G&jl&>K&rW5EcyeieIJqU#@-%Q1KoO{VnE~|5+`E60~ca`E}tlzc=Fiw>-?|m#- zl*3D={65p06bt;6wvB>_T$KFL`WN<&H>op2#Y0)J!g-?TC_7o!J3SC#Fj|XZ zr<9|dUlbQm%t3U$6QN2Z5-SY6PS>gNNKi#2dSSF?cDW(&AuKUjc81Gc(rs0p?vGE%LA z$-_SFhkm+n&PqnU12LTd4n(u5?)=5{nB~Sx>1GrhvH3A(y`@3e>MQMRkbddm{=-0= zZsR>>i@2B}3OvU9cR=n!Hg``@pKWp4D5liU0$2aAb`>u2B62^9XFT4DU+DYPo5*H_ zZAnGkxvk16^J#+b`4A1`t5O9bB@~SO*uT(teCr7it64T3*hX@49EseB4qq-^QTE=C zH<-f&mfnjTV^Xj;I4d4Bb}!qf_BH;eFx|5*gU8Pv7FhDV=|C$zh3SfWc0>$cwyouV z8Sf{n*k1+!=K}b@yJID47A+Q}~H zr<@F5^uB%5!*IGOb#pk8z|7KWFA=e)Ry9?BvVIWJITu-A^Cv3Ds7!P5$#dIZ{JPX# z?XGlt41{6ZL>An{D1M#utlXshe%VpQ+z@%5u5R0re^l+Jm@oV0&2<49{S|3H=VqAh z@pGgnZ(w?A`P4A^)Kd)-V@D7Gl)m>@BB30DN~;5}4*|b+|IvqQ9OmqG@KNGhQ2BX+ z-Hqq`t7>H3E>I8voCI$(PHMioc><2~+BX}}6PkRT*s2smeJvAQ9Ze{hLkZ0{Q!u5Q z%zH0p`c8v>tJ(bL17eAJb+U4N6(DNaQct5Axk;;kI5}j(-c^=K^(%Ngy1=Qz({pHl z^0R{UduziwUCI1Bo8uOSIB&ig=E=`s_t(=uQwZntX2JKpn%NT;`g-1jB04w7d*4~Z zwz(D%Mx=DUi#KcfC79>=L3s*~ip9?Gx6au^3CeU>9D%ugVx?&CPhyxO+|TSu6}EBI zO<&$t6IKBQf@RGgi5r35U!TjcrtFY%xzoabV&_@Ld=LCnO6h)PTZPTZ#Q z?)9E9sQgw&eA@CS$yxLX(Z!;SkSdvAwIxz_}8gX`iwzB}yr34h04 zFMm%h<-Y&b`j^@i+>2#$Bv-(=nf}e`KScjKbA;T`jiQ5F7v760`pfU1uonmJ^Zz-2 zZ2}TP|N9%Cx`U>|PBP{FGAo{F60i%`7$diBYmEDO{R!&YKOQPt|JX1dh47a$>nwe{ zTEu3&{hV)s4)Pz@Ba465t8w12-?KvcwSh(1Sn01%%;W3-R*OuRjsNNs)1BGU|5yKP z`fp#{_>Y=TyfsCUNsu#N4%vV4)iv1cPXC*~_TPCey{K0Io1gE0_B#$Y_eZ_|sH-D= z{?qsD1+}TW|B(Z>OFa7zccSx!kj(dFv?q~^5xOTP0BFB;S!=DGFU(UiOTUSNfrv9! z$g~C-JwFi0K4`G|2iu@4N2zlyU;`49D-}qQ12IfEgpNew!Pn~FOqK^lL_kOI*H&Y| zhZ})!3ThD7DR4*CN`7;z$Hz-ytR0L0OFo=<>!DGn@2{TX^m=^8a`YPT9;%yvJpThw zs58F*;a3j@MCZ!#UBh&3&5-VNoUqm3(jRdcZ(>l zZQ7v>mmtSacCVJ0e?{$ZR(T9mw19tq`TM1!TCiyY_Zvh_;$CRU?dS{h$^0fulqE6y z=Wu1Lcy*L0?WXs+4TvKzG=oKAE+zB_hTV^_&d!s3UCzPI@15E5qi{J{d#VSW^}TVl zA4Y@6NLn~scmlfoNYab@tNi9c#v-z-z9!cpt zKiMtKy7QaUMCKbHAJO3~Bth#g-`4FG$lv9sVL#_hE8rtTA^AX=7N zIwsI^;G&snH~Kn5H{rWw2F< z1f`X&SRA7#&IIn6Os(?m-k)+eelS6@Ac$fPUj~0_X5O|>D}HN?zy^wt?!=QZ1=e%( zE;=gr_dPet9WXZXLuUSc&&3f8t}c?ZaGOUV9QjhDWPy41}m zBmL>0cZeA|$UJJq-r-?SV{oJoP>%MuwojgzPAEpB5A{V+TjCX;tb1f)z#keJKJ_N5 zD)whR&<(^-Di2o`|J>F5o?>ZdV)&ja5Ll8BG%iIRtrnHCc)V1A)NT%zAn|8PdmOL| zARM$x!S|PWb1bj^-jw6H29w=-Y;8(WLZhXdwH_3>KojP-N@oP1Z2jwFZ?~y~a(5J^ zTer!4!2{9ziKp~K5MWxxk6l5cN-$$DvS#00LrN8eh;1%h4ZG4Gf3)B3L=Hw?=Gjo# zuZ6%k>a%xJ51MW=15->G48j(-+RmB9PyLEN6GyaZe#Gh3e1#T-do0uOBS#-He-N9A zTfUh}&?WCQoun(*f?a@}P(k4#98ajIFP2`D?W*50Y-8rxh%b)_ldxk(^SLK{n*xr&y9hYYS<+oGYt>P`epC3R`obAoY zN^#s_)qs7pfbr?M;`ICW#^U`}?Gz?{#gn|&zVUb)HsS%FA%I6LQO^eu0ZAzugWlrN zkS&OmeM5h1yn$vuz+WL6ne>D{blmJ;jBiM+vQx=Mzn;-cby3v_a{qpeSx=~mKDyYR zDVbXF!*P5j-1D;ti9#ZCv3ctJV2iEuMz4ABL4@{z9=C6HMu%u+%kj7aqDQ2s7p)$_ z%guxOOx~kaIC!XDU<|mCX89>}GOa-?;t(L1GZ$k$ExPiTGySZ6Cqj6*ZW+!Kap$*G zW%!y}ihSBwh%u!&W~Q(|afLtUep7W|u95j%0mrDWeM*UUC`}=g<#ua=CiKT*mi#r!a$Fmt7e~m2v6BoBcJhzx09dYr;K;Y_u&Nz1ED%3?rJZqv=JCL3?|!NDG{&s)5& zJLNt)n)04s@@U>)@sLL4cqzo5JihzRdVZhu$gm}-sz=HpD&@y{g!daf!uHrMwCFNe z@-}ea7=fGs^rX@SW2iehz?tf2Zzb3~ma1u5}%zyi5G8xf42Yc1BAQ zskRgQ4QD@N$vTJTdT=LdG~?kKlG5KG6Y-H)4IJ<8!SHS{77WB(dq7x)8NsxrHeUI${A8HcTj4&=P=Ak zerZD|OCS)+MDU7r**o~+8{NA0N~{sS9=G|} zL?Sy)PD)iaDeoT#BkxB)%z(+#xjj|=@S288$MN2^_b6oc)0B^P%%+s(li6%!j(3;@ zE~AIMd;B=S#Cho6tl|8L?cM{{RY3+6_?^85oaD)UtBJ}y@=6hB!9Uc@PTy&o6J>9# z4-fa=?mIEwZWMGVT0b4=rN3Y62a`UFrtdG{N6=gBaa$zq3tEznLpp4lsLJE6hD%$P zBotTgTW8;&R#y3nzPxza5}&Cf1;_(6W)+s9?kf=?$(em^+Q zB&Ae?s$$EM5;LHv^mKEijhD-GAN`mrMd$&MKD9YmY@!qHyn1Zzof8r8 zeqwK9DT^D43 z)$f(yp3g5r*LvRzX{RP{RzXtcK+V{QdD;l9cJb|_0s#MSVSUCF0V*%tMc_%b*H*bG zgznFe__@+!x>hiC1TufgSbbYIsyYv{_nSlg;4+mGIQ(MQ&6nP(9%2W*QpI<_%ePJC zZh(hg`4)s{Bg@dYdzse5kRPvk5jERXuYj%`|GXb=9H)n^7jG@xRr)q}8F7B3Vz{@> zPBn?^dcwX-fupg1+i=U0%eR3L>b7s$_gUJT46 zwI(tc&HT#!aYA^})QT?&VxDl1vU@Of=7K(N5BYgIbfbQgj(_VL|G{|U0YNqm{H;@f zr&z(~cMh;!M>*fyXQPc=59Ih`2f;p`<7aq2C~(w5&}gEfW7 zd{d*V2xmJ`hZndRkBb`XSo}x`f{(Fz8ETD@3mn%)!j6o|vPB3QZXCx9kCGIjSCOpT z+bcF|558E^Y|+j<2PD+&=ke**(1*&GS#!`1XjhsKs6T2a_7ilbR&_jj^b=UI7I~LB zu)K_^wt4))=AL8N`W(N*C%;S1p{K{>By$~MnCN0nAQgDE9EeP~MRdc&8}(&M+Uilx z^h?2^=C`c}@oF6QJ@nq#K6dmojiiOwj~Yi)%4!3>(ke2tSAwL()(~w<=htG#?SN62 z2M^e+I>~J-&!=&G12_3nDEShUM;Xf>O>^*V{rnU&)jl^w*aU$VwBlzRgRfzR*3F(_ zHf5fkrK2x-8XKMbqCsf^ND> zIZc5ERcr^Y{g!UuB2EJQW1y@>drgNyl6RBeB7xAtl~mIzV7NW%_FbAE?rrcJq*bNs zd`ig~*6?e7US|JA$t-{04{kker5Kg)_U`T{s&$q-SGN_j#res+ju>Tp)N^=zV$Vc_ zU6Xhtsv1SnXGzDM1;_1;A>}BekZQ?1=}BZ_EI@+?&84u{>Iw zfhPuCJ-fulPnSa?`>MvfN>eLVWU*6Y0;|{I#G9OyK)>f36W5k;A4G>mQP8fxzn)ec#ENpSU4gs zCOI;KJ?wGL+J(lm(8uBx(U~k@RelQ~7X;OyGNr%hw8YQYAP}I-g%D zObQs+7W(Z&Yj1|y{=^h_6q{|1+&Pf}{l4En-*SNO^Q#IbD23y9wudz!*Ds{+Q1gw7 zHo(OU&ppPF^ib|Qk1uYtTe5LUD7imAthG1^g=MIH*H@qW0&IQPyk=A;oQoUYA@BGw zkgq~t*;G92vR-;LMb4z`U~SIi_jF?lsyFA)F6f|R@hDGA?7aHBJ377gQ6ZN&yo?zW zk$9`(F^%>vR9{ApOq%4H$+sV7{AWYHhu z7j64VW(n=Ad{@2sz>P0?T1N)P2$D!X&Y={PGdL8*=I^7kzV?l2Ep`qiME^LjOkuOX zoAvWWni$PlNIa!Zu6+R)a7c2IvGw+#vAr$Fe8=>5ssR`jg3mPBAAxiXJ2-~Iys?RG z+!M(``YnD5y#knjtG7|ItAsw4CmJy4$eWmS8aN%xuxI5wm+uq);NNEfr{9;hN9((P zzwUQ7-IM)61bis@(gT^5LwOyx3`^F{%1{@o)z8Mr24w(d^qtnHz6!t|CrEW7l5TR3 z%)8JCeaGf5c)#SMw0q%Kz659x-1{zt?zg|^-OG7(<`+C~spE)-uv{eBw+AI}rQO=D z_Z254fuQvc40NLVvkM7mjzu{aqN0`+775d4u=K81Qk1wFbc`7rgQ2s(3HgvU!h1gA zMr@P9r7aSh$I#iugsIlnV;T8Xc-q?*OW}%@#Q^Fe7|k%c1kN&VZIhmBdgA#FjG@ko z|8_nGs*%v}9Gw2;babfotvB1jt5`eiP`J9p3x@CF+@{ZJ_W+->lc4U|i zZ*}k~*<_y@yaOI>d*3fF{C)<94S2`2Sfi@E#^HR(+f=3Z42bbPri7P&vjPbZ3i_*O zBg{PISFY}H;XR)R=~pw#=?0v>6d3qPhPOU`5ru(m=yv~7Y%Q76KH4Qf2r;kxna)}4cU@Vi!uXY^xW{pgSf9D%N81|t(Qj)6Wz)# zLG!MxP5Wwhd+{8u)~ts~t?V?`HqiL)S1s4^s^vP=aT??5VcG!(Y^{#I9WnfTUjpzfsy zOxdwYN%_)qs)U>2kcT$F)l^Uaf_xI%3;)}E5+Os>RxWe9`u2J6U>O^pg4Cw2+#3un zc}Q}H^Q32`b)<**&2JjBPwrTapKbP~xvBz_9_*5cO?}?JuQb{oR4uE`Z4K9ASf&`O zJfVM_D!`kCeMq>Wd4zErOu@bO{pq=oAG)XAiUXTl;nBQVS{&%x2-|teyk@%H$dRHI>!A|u>4J3GD!nzo^&zo`s;4uumZ@Q7q%i5v4YZqe)5NYw0`1=9q5trV|clEhLw)F~8 zihn%Ch3H24TUIb(aro`w%HGU}Is(^@&tRr?vI!06V@4}nJ>}bhG!K*< zqD>X0T=KQ*CYuNMZvA6{)Ehy1#H-0B{}ExidfTU)JEGsbi&C>H$WO#(uUyXIh|41d zdzVkd1IV!nO0uCXOu5m|Pa@5qtPN(Squ@y|9#G)KrW#0t$a*92V5+5yMflyRId(S4 z%9s$yM5k?p-p>)=WF@}_X_EW04_7FvY*tsmeTu&e6qTQHNlzzw_h{gusHxxA0KX0l zzG7N%fW>Ju(lk7C@u``SWvu5Egu+Vc`~7$WR(z}V@pYEbwg_Zb*Xr3|lsL`Yu$$}R zMJYdp4@HmM)9gmUVGCSAToI!N4}!{dNESpY7{JKVsK15GQ#b@fWx!-XNeOw|E~YeZ z9#sWKz}WOwYsVWsTBrcjY>Nu%m40>kv1H$SYG>|q*;K6*ietfV2TcMg#iK(zXR;%0 zulovI^}cGKMcP3KZlpE79?EOVsb@ z%BeC-a3+6wlGM+~A(WG=0Oo(~YfI1aF_Ou|-EUyTUsV@EtCm8~C`=$OrY#ib&g89T zhNmdi*1c>AubHX+3SP2)?@y zBCHIWJdh)K%f>mXv5kZ{ljhljSJDp+#AoUq!oKff&t@UV-I^?#Y=fd%$82G=Sdv($ z88bVu%u1G?J;kAB@CPJIR%Uewz%()ZSydWv!}qxKp;wVw1FIfAD9Za4f|0b`RlmJI z>Q6D=&znQP_)Di47hj#9--DIKSYvOiuWmV}!P4;(-lH> zpDzvQrGK3#?G&0&vVv_%+~qu?)8tQR0VpkGM>8PQnWBBvLhx<%(rjCnHCk^|Cm8t> zupD@t7|{Ss;cg6W~F*GgkU)`>26t=J$$U!gG|=(J-yYc#U*6_B3|U@agPSq@mDZC z$BM+VbO;mw8g+g#+q*0uBQB;qeiv_O*xVnqMF8GNSp5PcaKJ{H=LGLa$u+nnB z9Rbcy#%l$1iB_-r{B!8Ds2^#DLohw@fq-)Rd;~gS`$!xIb#cWxphSMZ@)=gZ$I1a> zTCP)g&S1K5AA)ag34>|VQ)^xI`ve>@SKAntqqZ9dtZ$TCRuu1jOsS?c9xm+d362Qu z$r2|n;0X_Bk80X*m@}nANef0T{Dw9B?lT@TM9@M9KwO62I8qOrIE&W*iMp!yf+Xi= zST$h&iB2hLiTJvTE#BVw!`CECp{m<=(?YD1UvATv4}7FvA9M&b39@Rk0l<58-+`3z zI~#ilmZ|o$o(#|ORjw4?(-G<>kd60NJU)W2datk5YF3Zv%HH!|5qin8pPIE3a~U3c zih*@4{vd3$$CU14v;dW7_br^}2jKJl)G_^DjJPQl>~*q&gw#8%?c*pJ!-pT0H$JRz zNHp=vpUf%==TzF{pu=^jdX@IsayS?l(zBk8gHkaGK}t?^Oo& zB2VOZYL$0GlV9K1hz2`f7NCYIX5@3$Wo4m%V!ieQ-2}|N?3<-;;OvHKg3gDb{)*rL zS8bw|SC%8+jMj@m%f2w0Nc()p2W#&{+d*Vf#Pt1SR~|8*Kya{TT*%>h4r12}j4@BV zdM&3*)5KLce3tr$QQOY?tVCnJ@s}Aek15Ql+uBdOy}jwr%x&M1ZB&Vc8Ai2?j1;%4 zHtF3ookncX0Qj1pdPG~U@{bR|cpXd{JIN;5hJGz~=AdDf*g3G^`AO`_Xwc2)106-E z&x~|W;D+sbcWr2dm1anI{^aUeaAGsr_Q5C!{yviXIkRGwEJMNS&__7|Qo13TsQp}9 zH%L~@J!3i5@Yojp9V5F*SxxQEsBbS*{*EUJ>VD$y9_jRg`z5bC0J7yQ)0|phy^J+X zvB!m)802Wi*y@V=7aprfY2l3R`d{K1(^2fvxAv32c<-33Vv{u8P;ab{TL1LeVnf0BeZbU$eKQ645iyOR;<2y<2gpZ$5IMfP)V&{{_LsjQ&?U#5YgnD{<`C9 zKKN#Lml&bH?^tg?oj%XM$6iv7{T&m-L6R!vTZM+^g zvPxjr&^bkh1^Sq|=p1fyVND_-}3sEMe7y4Uhmg590q#FkGy6RHhdW1?G zEnMBve#zib9G=3!b2v+j|23D76DHzYWXs2*Y%tA&t|YRL16(xm+|6IT?$ldruJCau zV;Qg}_mMpS{nPmgxW+S@8zjP8nvR?zaKq-Owp8|cy6#`{|C_eyyn0ct$@DWQ&V6Jp zCT9NIx##Kq$}j)8`^^oIa~>y4j44fkOMbG?BjS~J&@h~6phWABSV+^+Ft zC|YX~o3FlKig>{8(joErd+pz=hC>CX&#U0^A2n1<`(4hFWIez5z2)n(Z3kviN&;q& z<~rZ#Up2#m{0QRC!gex2X|uQYw<|8!e9=E=9cQBp{>VcvIIj5tRCLyiZ7~3~#SAXz zM5DTD!Txi3=Fz2E-UkfB1bv-zL|#{EtV}98SM=jhm98_y=Gbz7Q&-rNu)x)E;L8iy zWRiCOI)ZuU+UJ(Ru%Q}P8c2W}<*GPt-kp?PvGP?o$rb=?mNuG)SvE?*m2)Sb(4pi1 z+O}zT+grK~&+FWouQu-o7~|+CFM0iQL;|N-`t>@EWc4PGP6l*i2Q=J;P#VUVy>b+v z1qAaIM$b6C%i#J1FdoB1u1bL$a{`+f16=;R&IyawNt32NVN>yY{wT!>osd`@&0w$E zVL!EgG|>K*7B5iU zpb*d2fNvjo|NOO{^zZqtib3iJ&mB zb)7AV49ySs2-bejg*CPBw$rNpcGV48Oaz8>O?6-8Py99EX2v6JrNsNGh0J8>R2cv? z{KQ}5z~~6ULDbGqoHuS@_gK9{T?B6HsmU~u`QPT_(lTvrgvXWh%Hlb?{pVwgaeL6k z-;?lLAyHuec`mKL#>2y6+0p;CIBDB%Z+a2`ZH}(_Z(_VXj`;BlKlRp6y_c82iFFSC zT2JANEnj`1@9$9lm&AYz)Qnbt8{_>)JrwaXPUfrlujLH0LNR~ZiuW(cp+?F|Iys{^ zzj}ezFk0MMhT*Pa86^i91yQ@mr+k0bbsdKoL*ide$c}OAy+;*H*y9Gl*--dQs$bhx zo34oEPhBObh*${X9`~PICpsQZSTPK*NZ%YxHitqNoXYR4XyNl2gFC}q?7`c)N;_SJ zb_L4U-Uo-wh#6Rg|6*b4^=%g5aAGBTuP37TZ>;J#PVElBJUdFD?59Y7J{BEP#kRbG zdOs`9y9YO9+zwd&v=ST~Ez6Lz!g(F~9fZf7t$>w!e4pQHhXLnlj36xMoo{ zJp2M?`ZOiTP%)_@yZ%%D>dz9y*;oSmX~=J}-Yv{yT1q*jSCfT^2&_q&+Jsoh|}QO^EDGt*F+ z@hjJ;6@zrgmR8>_rb?${8$g}bPjpCmx`0$r4W+@n@W$Cw629V{BOQNOGx`AjuI`gC zLo9(@*SF`b3w+x(A~pTy`FVCQPdMI44Vq}?!RC1!#}^o#KP?l9nMGFRg!CtKp#l}P zp?;(%T(P4Sg9EOs1+HM%2>3&|lo>cf#>!$LBDdVJUX05wFG@rC^F7bs#f;c55>Cx5 z!{ilj(Z?zi36!;@tMr86?QG_`W?B1~Yz@!ETlB|$!eyLD$F)Roa_&fd>9sbBki_ug z;}L48^5MAq4PWhzSditligMTJJDJ_GQh}U&KJJfoJE+|tQhMy4w`8WZk`>7Xi@quL z9q*$*@yD`_lq1g}+H0k*BfGr^oj9^X%DB2{8@wEvFxA;Jnl?FIm z>GcgvK>)kmy9~9hcHbV+SyyVYXZhRdYvTl{+^%at)ECl0RTD&YwUwiXz=5 z$gLMHic^KLZy^(}1m?r!Yg(y%V{+%n-(O&5MKnk-8SbA;G#kWRjHe~;IYe&>9Pofq z)8EA1e7&XH#QS!Pcw?xd2{TJzCq{O+H~O*fE)rpz-Wg!-#?f@8k;M#JeYG+QTzz*S zZ!*RF_1GRJmYpNU`@=Uzn8?nFX77wAtIuU&12nD}%*;_bWT{FRW!WAK@5F1^aUk|R zsrVah2fRz&w7?T zvsXdBs|Gid$r6d`&Ep=oCWbR;ID1Uy#!H&NCBLc5JuZN^xnJuO`*jYSeD8bgd^BnE z3qjy-P}h{7j!1R?zOHDk6A?l^cvNN5D)-~joY&ju^DfQ|9Mpth8^u=?KcZI|M9-M|=*P42ulB-kAajw;^N9Y8id0mmg=< zNRL<^dk7KtL^?Bmn%wJ-ge&>_GLKIUqefHl9>crW2Ap=InlTzF=10YB<^N86bQ=r= zj6gD>Q5@bC(fstF*IYZtXN7b87Sb%=#{TUns5V`)`?q)ag$6|6@TAF&Qr6*15?8*N*Sf(z;W_#&*)(UeR}f28_9@y5877Mx zq33&1)ZWSiEH}t06CN0?e)^6cT4VuO=S2u4n6*ca<3mLdG7gAbx`%AMR5yecr^QA6 zJzcX_`F<)0I?FGKKqYMutf=qtop7g{1l%U7MiCoL*?tS%yRz1d-K_w}G5t0j5>a>e zZFbGt`nH_;Op?+LLZ=#EQ*yJ|$#j9QfBB1+G7}!I8t;jDqGEw z#gO7mZeh*FyLeoo|D?n1(U2+Mz-`~gaV3pzoObWeJNp^#+X|UorAA-X^;!ycUnD)7 z^?GZ|3ZgY>y5nO}S~#8uK^aMyOhfMA(Y4yvkbdIEDKU{{*uu#Me%dnM624~%`aT&V zWYguv*sZMI%tv4s>X*vNW~CS=?ED5!YQotk&ZV>3RSK%Ie9X)%Ln{a5%G;^#JKH>N z@K^)zcTRSHQ1*jUVjt+%X?pv3dgoh)y?e_w4UT_cqLQaF9Dt*ty?iLr%_fgfFF z?+_Nvi*)7wdsMH(ur}79LjP!k ze~0|iK6ZvJf;kgTlRgY@K_g&)E#9G)tL#2`LpqWh;)Q&5mEL}a+?80p0P~p0gT@Mhe z*pSr}9RQ137uBfJ2MhWo<<#5W1|n?Q@#L?Jq8JwwiFHCqVyRweV1Ky4jvZ5dTx?pk+c5f;AnB0dYS&}t!FF&-~KpM zf5C@>R70n1?bpqHxWPADESmnR~`Z-o4-{ zH`LlkuPKCH_;<~CAN%qhp#qnl_h|-*V0cbX_H_WM9|VqwsHGI}=OBMz(u1Y9wAWRY z@UMb-F-v7&#uMk3!EeIXEoKlhhm5b!J!lEj;_7}y`%go?XrW!n%o-yj{(&Jf*BMdb zo+v%mBL)3UJhaWdjW$}_Z}nn#rN-otl6zleV-H8p?JedO?7@L>%cJdlP``{`F*p6ab+dF>IqVbiUO8egH7^INEKtAu)$^F6+vg5r`38ugj` z_H{}kxzz^)ztU`bI!~V4bI-LN63~7W+wDQ*&`~%i2{%n0f!?)d9gn4cE$gf7rh;#l zCVOs{{5EKGkv2$99xjPV@W^Q)F{%baFz{g_JO9tsD&k*PaiAc_%rq-()4$#Gc&mDh zi}3m*D~Zh(_G_6L=N(#G`>5Vvj8=@c0TEKF7gPl^*6`j~qXe9Jo|aLCJ$!9@Xa|L6 zA5ZN`WVkDct$k%#x~~F{=BSu{xyia=DGKdXpvTHXD|m4VQ*(iXNYcJQHO3Jl__riD za)Mfdp16FfS8c8cPx0=2ND1}x5!?YLt(0W&kXaA70f@-$(TBo5y5wl8PS=DNnyQm$ zGKWn_cT5BdX{IAt7W3mE#54Xfy7SI8&AxBEQqvv{7sLlxS{1hZrM4pgr%6x!q6@6;;T-V0^^TcZRabrWs-ODIohG!tvMqR1zxk+A;H8l@9AyKnyMJ z%LqXXZi87f_ZIB0CUCZ_Z-}g)hR3}9ht=qntl z_7h9^3?t%po56-NgK}%^YL_Q=HZMx*eeo?HZyNZ;Gsmu+tz%ycDapskhCe! zIc-3qGixEuQ%I><*4fgBja_atHi@c!FV>ubbRO3>B?a1*42PN)^$2i}CVdf_K+$Iw$PPM!TY_2iS8oQ$(j|}uZD2>Sz z(anZ8z*SV2>RIW}+`D{*-PRK5Eue?%|x8hNACd=%WS%?CT+O2DoLvYDlwT%q7=+yv~dSB`N zq8klA7fe)7L$=(ONAEA5Kj1h{ z(Pw%k@rf&gKjW^&<}3EbI?3J`YGq*ElGYtr;js4RXtf@G3eN332A7wxNZ694p8cBI z(k5CQ&Ik7L)oxMyUTz&%y@L)i(AN?Qw|;pt4aeIgdGKw<MX)RyUsb(y}V zS_OS0*#~XIXur=lr$?Sa;Hl6!0b6xvJBS!y`laOWQ6wF7Ps?{xY-kTLB0ctmWE5K% zt*8b0vyxz@5YF#j%*bl<JQW)(&u`~}0%5lwFE<6O0c z=Z>~Fe2xjMF~ajqRDR?n92mTJnaSCt-7$7qorN8Cg!DSmsu2JVER)2RTT_s)gKV@h zRvg}JBTZ)Elzd15obmh2cm$DVQrjh`9(f&!HS%((OnkpX0MR*oSge9%)y=|GFFKYU zHW+yG`H4>RPAzjmV*)g)XS!`Vy4%jYE-4<6lypqOEonQJ%DY#rV$}zgk}qzE5dB8A zGsXwa86;s*gL%=+5`bf8$Y32`=$Qlt&@;n_No!;`;f2Hx8xhXYC_eSEMA|1o)idnQ z8(<^^k!v{%?ea-W4|Sm;+IZh9!|QN|s+_QY`=>WsA7Yml11dDA`y_b6gGM}aP))fD zv5HQ!@qm%2p&v(#&*Ik+qChbFwFfK=Vb92?0TC*-5!%o!v&F#9~;Tvc#aqu3$N2k?>UdtY-x7i7uoN z`4tV){C4Znq88So(wEY_mj(V%k1@!kxD=Bt`>E`O-)XHm?d*{0mL0>$2^Xayn+RKy zDz~Jff48{m@?Y)VjA`#ETqbk}HEKHWPd3Dy?<T5yZR38y8vD4n4E^;L6F!)9=hx^%u#j<1mcCnh=oLV+8Hspj z*dD`z3Mpfct$Xk+WcxK&s9oFDBHrF8Yyk>{in04;%{<0DHmCKl+cSl$tj0yWlq2<5 zweS0cJ_|jER-73zhO>HT-g7Ry(JIE_Tl^KFiGJ!tuMnw-Kxtu6$4;7e;A8;Rf{Mr3 zvilyqq7OdY^C3r?3V0n#|1J=`Ks}3f1G`$7#GBY_e_2A`Ai#Gw&(i-s_`Dxj3%|W> z@nH$uf#Lr22xX0(F>?)&B+nz7K#GB(3+T%5>z^z;j#nQZHltaLSH|8>9b^Amp`ceiKdI(gW4?jv+i6lDPUy}!lVMGWHTIz=#p z)cP`5SqPDh4^(}3+55yqBRMUK35XLE!JASc;RnOFigQF=Y37|7^m8I)LmuM_ehqY= z?p@n60UY-kJU)DB5P@I@vNHmjCqM#ucsn54*;hh^PrH>l<0U~_ZjRR*l6EHVA>{(2 zpe2ZVM`qL0exZn7i#fZ;K0l;CZJAu{sAxNn&-;7h0guJ#7o<~<+LhPNt6JujuPy;N zBTj9YN5Kw9hN8@VAnoi>v^4;*89kuPCwp-Bu9cmmIXhWGwiw{ZjMv>Q99njO%k;az z&Vq4F$dBGl*t-m7A(;P~D6$BE#j!n*@IlDLR_de3ZiB)&N1s#atDduq)h346z%*EQa@by87dm<>eb_!d*Mk3aW z1x0K>s7BU1R}vPv0b|Hyo}lr9`C-NSK7Jz&KxvPrIeKZTujS!5%V*Jo5t(`l2g7Dj zG`uK488BQM$dy^UD8dwroXdu-)Ut<+*2C%BPO?ls9FroQ(VA<07{)ss(@pBGHJLis zx{4e$e#6~48amGp!s;uO2WCKzE8DdMEpdR2?C|Z@0`qpG7@9R5M^|*lfVlkT&mJM8 z3pyEJYG2@_f+Gmth5^QX1M&)@)1G00h$ZlwQ-hO%>#3hUhLW9Z&&n;7HeR)zns-vX z4fJ_fm22q@!OSbWC=u)lL`}LP^(=5(M3d^%;1=g|s}TSg3utQ(^9cZ{9FiK(^j=xG zU#Q0vxp=^o8msq*aa6;X%U{Fr0`%ZzhHzUQ;vH{E{TUGQYfil!gW;>JJPeeXQsyPd zXXeS`8hkFLZ!Xa7F06|1lA5?}WeAQljQ?6P%mV>SU$1`k=;8pMs#L*{w)tmQeSNgHr*DDnU}n!+;Ms^8ARatC$F)M!yq$*i3N& zP~T?Er+ACGv*S1Jk?GE}(pm;bfC->+`VnmM?YMPpV!Ur}`nCyK(;4uDk%B2FtNm;Y zEy&*!e4nKAIo)cCD*)QZa7=1rL~-jcJ2l0MW_6TU1;eB~UlPk}i)MtvWzX~8xz2ZC z(q`Y~T4P0r@68?51}L+w*ID>)VooA2 z79p|Xskwy(e6(MYv-X_e?&ZDTSYqSG+&t@c>wMM;a_H?(ea1@VpdNxnQ{z5C?Rn2; zuYzN_?6{TOKWs-MWC(P)dwq^(6m|o{s)) zrBx;i?7KO2#1s1Q5Z*d7$!(!=CrTG2PTy&g)aFv>hi;NSx`G1$(C?3tc_|U*Mq`@g z7{lD6lGeW4hSTcFw|bqX`a6}OBGEoMFgGy{AFX(nP`Ch7K&-#eRrNi_ZG>ZBEQ!mm zMIMdr#=y8EjYaux^heGXFLuCr+?SH=&A>8WZS5U~{m`<`Gu3!8q#&(I=ENk^JC_S_ znukWl@uuy>GC>dw0cUZiiKgu;r$Lw8L`$Jv_fCn?(Omhf#+%LEK}l+GYr<~H8|PTS z@~F&Jvil%eQmU{0YHgx#5y6`!=X@BZLL~lHxu|Y#S%t$)jNleZt?&X1B^eQ9eBRb* zO^9Lz(}^DPcYM4?117@#Tz05C#D`VNYc?63{w$x?#^St; zEj2ea{3HVmm;^NaC}IdII^DYwKD6v+7#)z^2d4m7QBr8beIF#z$_9)d=8YHK!P zB~A9%6C#JlMm{iyd)%infOANFIEWFgH!913z;gpXL{(^5A{hSDw0%~q*g>VBTsOs& z(zXaz%as0R+1r(~g7D?ho#IF$`Z<;3?nxNkKfz(rG%}vBdB=%AVBb)1eLun~Vb~|`E=(^9U_d#=) zDuAGt1r!a{zZUwUw@ zV~}(HM{K0vG@|i)EFT(*`*g06FCgMyZX?)#ypM|b{u9VoQnN((qc=~V^p6~#)7BHe zV#b!yT%;FDM?(8Yyx^$5(qHj!%79pTyZsN|}H+8OtM_2 zHF%5M7%WOnp?{ZlnY9x@MYS)j4rN?tc`pw7GBN$MZoonzo+`l&ZpK>#1zOL&|0cic zvXyu4pLxF`(C2v{Si1z$|8fV^rJUPTw%?PcDK52)b?t7XiZSIgv&b@We)UWGB*x7A zWz5k=F#kIK|CRSki<-8{zc+1J4N>~>;cgUtkXgCXBIkOVrW?TlG!UrWmgsvBj%HYN zq3|*Rh*Z=sebv=vS&~+^$DLdFFZr-?LIRVG#G@$7?R2-+Zg`Z|^LyMp63XTq@Y?y~ zuJWJWo=v9?8(TBIlT}Xm33^;A1O(4KAndo0w?b7@^uTS?SMLscy7K(V+K=(pR)W{n!dqq%FWFR3$Z z5=2*;4%Ql93tbYf1ZenTfj(=;6?1+i4QsD>3 zw0!*c7%h4DM503$LM8gAe!jm8cqF?V zzt$|8c<(y38_D`rN#{og-jf1QK*!HF6K}52VWl8a*)VvH!4KpteaNU- z%SFr1hZ663s++w!#0n4}c$gj|r!7Fz8kt&ebcUuIo;M(QwSc!c?p=l3pFHSSRp$#T z$f?It!?GT$VHn3%U>W;>2R6WypdkV<+q8nmo}B7AQcXpgCV12 zi3;C)!YfXvh;2TS=Z@$67eN@<`Ous)KT~}2#64BM^$*7(?QYDk9%zWIrpFVYktKN~6DuDDVI(HiDUdrbdz&l`)&IpIj* zV48?kZKokzAqL0Wf@kG{b;Q8MD*issVv7IN^( znGjd*`ZCaEsT@U&cGj!zMh1)+7_aq%J-&)CjoaE-w<51j6ctshdeFbd3dl{%7yCQs zAA=}W*m|_syu9u=Sz!v_)IF>FYE^*6UmORfY=cV5`X(ff1G)T}^EXGT1Pw?wz$ViY ze%6&*`auF{cm~{j{-Q!J#*Xk&W*LG!ukC>>=^4zFyU&0JOp;WfQ1`_G>H9GpKt$RV zeAy{4!O4B;#;m~JGi$LCNzE+QQz&vDlb(c&uwN>J&?~Q)8|}pOMk)#&XA(SZdq2Uw zmibz@w!_uAzVnhYqpj@@nJA|wJYdVnBcGf;|pgN#To*s=v$YN8E#}SVeJHw zY!sO+hN zm~8JryMS5~_9HUc1jVL-9)|99-{WP!>aFZtCKD`QY-B+K+}H5IECF*m6d!ewH6q35 z>N=}&=LnrHT&q9O`jZgAPMzF^k0(jyZ{6mr@eAV|CF|R_;~$GhkBYp<-m@1PE4bn*K{uUnc3daH?0*`ZmegFdUg5-}9-Epz&t{+#-o^U*O02+bm+)mpaz<$FH@| zGiH?@`DSfZo$Sl2sq{ODS^b$ve1I4R5SE2rqu2Ca5Jyh0b7?|;YXoXh%B~kiC&H<_ zq|^nyGVAlWo{P#vqoJ2?N1xtUBjY+!P%t^R=U@p1`iMnhRUD5!Iek}1eO(4jN$*kp zs=F1yOJ2S{h6wCRU1HXCmg|@Rec>Z~OrMD9qnb$FX@Ogv+N*w@=1sBRPS%VM_i9xjqMO!0(}94!fF0O?zBWg|FzNkG z=yeX{zRZ0#aZi#zU{8VqfxY}b3&UeQVao0H?RD!3z@_B^JTh4ThqN+FlYTsI)#K3W z{gIpTQoSE`ty{eh{7AuHXR^}uT^R?$o`B-u_foGqf`!)u>R&ozksI-FhS@3n)hiDe zUWc&<6MJX}86)nB!WkjYfr5>LZ+%g%_CcSO7RbyDIREEq1#q?kvY*D8xcdzNbUGM4 z`A!=;J-muX^SSpHG@@pFoqJEjj+Gz$2{VZPq%V8qq8c8Hh2L@7 z3RK~qc(^Zot{0sOz`eOqUntV}_GsG*3|EGWY)8GGZzx}-aG^hIv_jOpdfBJv?_J92T>2H7fe~M+kjOlMv zd8WUi2!iYkg8a6XbMYJY8@H#^|Lae`U;FQW{ro?FZ}Cq}I)_O(hoHIt_?Hj6W$u^x zKg>s;g3teyloPn+@gIJ!`?=)*y#D?7KbQY$>XtE1|MED0io0?A4^23a<^J10{g#z= z`j6K~fA{bH-|g@H_|sqC{qMgSbvOSu7wK=;MQI(*W!L`p>+65Ltgq*P%znD~ci_j> z%YXVi6#4t#n1A;-txoOqk3|~JP1yh4-#o>^_e~7!KoxxvG`qy8|8qW*zk5b_^@?Fa7?BtcV#$cT{my{Z3lLVusm>6)Vd%AEc0zj+uKrsOw|`0cl= z1JiG9nuA`h>2GUTFX?YtH~w~@e?N7!|L*_zvxoipx4-}G z&mQsTe-D0!dpUs%(BJ;u|Ky;se>*575{77;690g*4E7HMhEx9#k_q(>2uk22il+oZ z#s8u~`RT=f{9X3{xa`-j;9gCbr*Plq*DXuurkfk`lJf4-Qte|Gf}MkRCj~DZsN6;pMHGZldHFnSfAjH;RB<=W5R9Vp*95Xbvb#Of@r7D zbH+U^t^ufo3>dF?j_1`w4Y@7XpB;XG3`dEl=iJt^U5Epq+5KZ2zGhQ4K}+_Z=t_FG zY7P46AA>AlI~5Gjl%&q`3Q}L|f|q+Cy+Ef`>du{qc)$kS?{hEFl2!438l4$Wq$Dby zZ92!yNw;xprZI_+`qv5S#=e0kf1jr9rB|OG{QSvvc6*lM|TtbE)ZgP&i{+Bxv^DaZ_`am57;st~~Ox}=h81>X^6*>q&tbL`EHhH@ep zhBku2^bP^~eJiiv((R$NPz=+Ooc&EzG}iXJ7rCXWGct@YD^@wkhp8 zAik%W^2KC8tX!i<273<}Du(ph$o2t{!+y++m({Yz5P5JVvCzXt2=Zxze#Gy2Tvq`2 z0sYRh&bqXb`6i zodMH(b&7ydSp>nwu=D`Hvn?2cQ?o-u@$GGUI}gLm3CmX?AVJuk*X5u;cfPfHkVw+6mHORWF|2(KW3*|O@5YO(7$C>6Lg)icNm5hn~ih~ZVXPk@$e z$8;_Ne?-~=<5vLmdG6IlFo65k`CeD)s{dR>3lmI<(Z zPfXJ^5wEIx1PqWj17C%j2^jQ=fF7kdudC%qKzb551C$O{4yMS-xH03HK~UN|M6EJ6 zLgl(wIlSZw58(x0uQ|BH#YD0dAJOWkV~J)MCl0}S43iKA!-k@CbP0GaNl`BWtIoA; zWxecQ?{C|}5agGS)UZsG(!1eaEDMBTkn!@?edBK%rB37P&<&a(AOkcHkY>As0YP^r z2J^_?i#G+j&4X^6lY2!(!h0RmqeHINa6}tV7zE95vT0s?BY}>6-|79lrhi{pm{Bvh z<)@3pFxK@Uli+Ir=JsVl>fRcKF3WA-wX&gK*(WAI_*2@WnX4M1Cj;5dWZxQzqkHmdSzIS_CPUdmyej z%@Um;%iXoplF6cz#KJpH67e379s!8CB>i&xeCq`5h<{j%(`_YlmNIZASyUW=*FvqKoB*Slu6QUzMI*606(| zi`I4R=O~*Pmc`!Y*FiDNb;-a7yePh?)o`5n*{Ey_!wU=t<2ujvj4`Sp2iWS36E-tU zURBq3Qw+Q)5*?8C~-Jnwv!u1cZ9r-jlmO9^xH(0o|uw zVWKyCcCFVzZR-Ug-JstU#^(q#0O9lYC1%-iLddrcE@EKN{2-vMK%-Ki8=Wdu?~We9{l2)KLJ%;Gfv!V{4Mv_J z*=btgsw@vfna1i`SH-B-<_Lo&uzlu4+JZ!AMTO|y(?0giz zEX0s2u~#WH+0r&fnPIF80!0I`y%ly9;M96ZV`U1RBYRH`KIgN@xeA2FaLi8<{)00d zQ8Wc0&b;3NT`GzRT3AMXC{r>o3*wNeR}1EIQ6wOINxHhE=R#NEREe*TKt5ZYg#*e! zuLZi9fj#N$)IgPPoN@ID2GDbZg)GZ}zXD@}!f~qW+RwZ(A12LoEF4Inw#b!vB+cM+ zmv|P+9&rX!F${ld;Og9qIQuhjP0oaHZ(aN~U$FbM@U8S(pigg1w}ul3xB^nIU~qHD zAobnG(~MmvdU!!Aj`2xlq7Ej$yEz87A3~gn#!;sL`mPB3Rh*S~iAZN(hk5}AON3yf zB;a)f^9Aggq{k^lkxUBw%vq#a<~d_9j%${sz?Q&SN*chepow=S$pOtZA3h1<$qin# z0X^5Zmo<%>NMJn4%xD#lAfssf)))3@F&u%Y&FBsHP#&}A;V9anS?E#_wN!(v05iBH z5>ulrw8YpXBnuX8x6iXBxMe65W&D0G`z(XeN->&YLl%xaBXco`6$6;1rL?k01_DY_ z*U-nMY0vX!`Hg6N1AP8V{H)~(R05ZHI&hs@+OV2kE4x1lCxdD5e8yF}3n+ulEvww_-8%AiM+fpsSdW8CDAuh%@ZI zU;@mh#+aV0@`V>&1+?j%YkHX$_!tI&RIWn*S_da}i|}9mxu%=Zbt}+667n^SO|56X zJ?v1IZ;katAl=BaSS2qx>QCVCo*J+uDzMAIsADxEL+lGkHn0n6Q!`AjXO#+`Yt{EF zS?!`rl7uNh_PD}nJM z>C6B!L7)Jye80e$l%-hWQH?Pd{)#go?@SEFb$j2gBrQ^iGeK))_Xv#XGV6Ni`ivd= zO$(qPU_@ruK@$w=cOH8KeDu6K_0#-rgs&YKXg&-zZyBkp`21PX4Dn{$)m!lskeLK) zYqmZIeOjTUX!{7qN0)6O@XG2Sbc4&q$SRhuR!6_)40cBs(e7{eV6G#jR*w-IiGaD7 zjcL(!{n#!{@$3EzXe7m>Wl59fO0t0I&rw()dN&;4&oG-ezsHmR!QRJJVV_Szn2w@o z0!mTfR~_wHnXZIwSZqDN=L2tn6n!pCaRA>%D|`h6OFAzZ2{I358zxCEZs6MH_h*ro z3~Crpd*C^i<#TN*qoD>!Xa2ehThqZJ%hfcGAy$P3o)k3@8t}yUwB^%!asU$cCkpHZ z05HHzM$a{a*T{9j7swUWMrY-;lIhBmUI<9L<#!Albi*imS;kQW2QXUpEc{Hzav*T>{wa34;X z-Ui3r-#0_x!N=eK>9vP{?Y1B9v@i({YgVnP9AI1Kh~foopa)8CN0h3)?n)Ytan=4N zlONj?kbtKRvW&gXAKr0o#$9V1p!MkC(VaRBz}=)jLCaF-~g4*)=Jk9^H< z;PcNz21Eb2E@OT!Bk~yZv%Evx-^vfTY`ZRNf9CA-Pzdh*&$OLPwgFftS*6vL;D253 zq5^#D=rreZ0Jhv50Iql{td2(-LI8#SbOSYy3|-U*8Htw;byrfs3Sj8R{TFY#uvo!UueLMgi^w|I4Cm7?JPOA_IUEL4_YH22{bN z<7MxVNIZ~P$>i@Bfu&V$Pk#Y_@MM5JlNpXKec=6kz+Nq$rRgWWHaXr`Y(v$9wyOqT zUsCZ%BegM&42nsd=mD?oTC+nkxw5iU5*P?_-^|5%FTOxLRAcX^buDrn_e|@D8&)(n z`LOuII}`9iG4N2%HACT%ypq`1!R>4%wxsKGElKha%h-BeM-Lr znfYpZ@i?J%g-Pn-_BTrec;M`=1ULbMA-UUH{nz2&h_SE$PmUOb(;LEZ^4pO8Aqy@l zU5B$n zitEp3PBrkjq7;0ti&OW(59VxkphLnoD<5J1R`^+nerw^Ri=V@3QxYz4G z^F4kd6q~Il;MSZGD)(u85p$Bv-+IQ+gH-Dsv2D-HuHY{naPLz$09PAcO<%^~{^wRc zI)bLh+*jSFU_AkB3Mqz}E|CAMttSH+;g7D>eF(TpeXWJx<|HfcH*`Kw$MH;0+~Z&e z-)T);+u|!hU6n5DdXhMdfVNEw=#XYy0e4TgAHv}^jrXmwg3k8fHALYDd(H7%1+;?! zLwC|4xy%4Ijp8NBA`AXukw!+f#4~~Z0^T*Z{v+^;`zCyk( z@&=56C*obK4f-;cq~4xf(bRKzuh3VGK0~{B-~jZl*LKD{a8;D@51zz^btItcI)54= z%aVvl#EKpIe(EZlMLwS3c^;oQ@Ri0>hLu~w-+{xz7q{H6VHoAxoB7xCqyOLZ(f>nj zTgc0JbG;;zUxr*1ig7rBZv~#6#511gdhG;oug~)&{Alr~m7&$BoaW?KC0wgC#3(+% z?VdXaN4Jze(7rn1Ckn6=&pqyf9(}q0d;41e51_O~F)t+tY%I^e4rZxVWn;poABbyj zWLlFeU2@asRN{^kcr8ej0OC^tN2OPn&pE9SnE%Nom{7Ya)mmk10_^V*Y7@0j=)n z&rw7pC>ZXr8^Y$<0|3z1{(=W{b^D&rG1D{PMnoEL$ab1M1wh2|;VSj!KM>%*u7Kis zqkeo@97+3pnh$V`T&3ULM}+~eSHu!~UG2My)>xS}V`sLkhM`NmSepEK`8?CEAD_$E zL`k@U76HMYJ@ab`M{kc9VSz_oJ)DkvfT1)bIpfw?s0rMz!&G4R?oSH7n=K~u#pIml ziFhkaqa$X#>ic&Olh^k;t16yzHTM8mV2N}^j?z^CaLi4IJs_I`k6-EVuE4Sq5NN!b zfA*~azS66Qs_SJ5IB*zBe6ji02A*KDnTJJex(-xx4GNegOT6~7v~i^{cmb#fJJnfg zt!@Cg)l29riI0AE*k!L535VJzd?mc4r$0A)06@-9 zG`nS^nj#L!O9c3=ccOri?l(tFy@IIB?(|6`?vxL%c@9a#Z-D7uT&1^`e$r--K+j5s zXP;JpPOb8_o-dzPmdOu*nVbA4F#gAw|LoOJiZXT`v}UUe0l?+Ov^~Lx>@v5KIR}QOA6HB9lFzBoklru6oggDHR0t=B!w@?@7FD+jS{F zHNdnc7$wZE15dmHDT!vzAhd_t-R3xzr!TBYPDe1YEuF&N@B^4oG)`C)ZP24##*X?~ zukT34z2sK{lswITd~L$n3EXcPb{mxj_Xn0Ml46cu-0OA%dqz2~QwPDvt<|?yZWH@S zlF!l$2G9ANuPqPx?49d{^Ck@EVFsgS2M8vrUVB>49Ll`jcF@>M`%Sw7oy{6t9Ln;A z)g0j8+mITDW{_dqg|6o;awKw=e82b-U!U6#9{B$mpZ0HU|BKt6?-c@wVoITah6Y23 zt>-l0D8{rNJBK6iefm`_g7n-7$ilaP%i^HQdGs-00||O$msoW*$s1!lg`-L0gUJ;s z9H2!m>+)>rPT)NU-|%Lvi!*=JL5trPz>_@p{Q3K}B-@cg4pdYO&g}<7{@c9%uhsT9 zDSPN=9pK@|v9RJ4>rXdsiv)m0Qb|}`MQYA#&pE`D0ev<5aZt3WK~R<&0K-7~wQj2| z)8x|r^s`QbgEk)DpEjOB5)0R%C6>aBi?=^+8YS|~&pOX3qSR~>)X=p41bh(y?{or4 z@>o^f(Dbh;(+e|6B{|D7FN?t|VUnV%81EqCwd$Xme#{sg%^3Bw|8n_N^-MU;JeSMWG{srD?JyMcfQ_hc*;wzl<%(y3 zblXO#>rmzuluH&llgT-NG2O}YC&SPqz%^?n00?dVJQQ^;YLt(LcSfh)DJt~#Yv2B9 z_pi?w5t#{42c?(Y&!NttT$P;(nHbF9omw6gvRPrmu*Ms?lI>?#umkicr8G@HkvrB% zDRbT6*J_P3ka6RzEzM{xoZ%zQ zE`DQa0F?sgpAuN2SMSk8uJ#|O7|B0tVUU5ZFw5fdIF4Bp2h*GOhUb^!bUc8A@hw@m@vzk_V1g5U72!PV76O3vk8!)9w zRfk>sMe_T-!F62%`&oW|IKma=a}|`i){g)HnakQ8oyBwA=$5~Ok5@A(z%)8W{^CZH z-K9D#9AH?S1pwe?(U)bRe&QF%7=Hu!GL#7fr~lg6$q^F#QhsaJiw}x;qUp?u(P$b= z_}3a;@UO+!!98{qGq z;3u~Cm{z5uUx!)-Mq8Zg#oM(CF)!P6ru7E%SFEXXyX}a5#cASpw63u7dO=2bWg)qC zZ1<3b;dJU=$D&NGA@3I!!IkkR*5OL*Tx^P19*--g<++nEYzPEN?&rLc!PTWm5Y4*r z0;htA;a>f$9q5KE2!~NdNW%Vf@dj+3EHaEgXBF^%*I~5bH4No=VTiCbV7yQDrmitX zC~xx4YMQZM>nHnWUO_<_&N8sBX4RRc>0Oohonm$Xny;exz*{&-!oLL_*mGy14PXxu z)j@j>KT_~3=qD?d*PhL``%Lt$YsYp}6YzM%y$%olJkNXb%qtT5Lo$z2k*eF*+G9X( z(>a6BAtSD-)h*=EGwJft67UljXN-cta~!Xx>jgM&8$8%Or%jGczZMLy=tK#8Ag_>`CFBL z-?NF(x$-3ihS(6Q`r+q9_YgJ!H;n|;wg8_c8+9GZihpoS0LBc%kQ8(Oi@hSFjDPJ5 zCO`2`xR$PK7KA^sU95D)a`;zl7qJ1}FDO5Ix9nWEEn5J9fLAXRCOUS}5+4%Led{)rcajIJYKJ@atWG!xNO zKi^LPpz3@8F|*g~(}YbwmRD?VnOz{KdKV{Q0{{)4(HhXtiZ@0JWHJF>9P##@q@&wk z*EvuW{BBYy59Vl7gBgJ`MtqFMPh7$M@q+m8kDBYp_;0rE|6kiq3zNFI-h;W96MpNj5ASGZ1nwZQ~ICu ze>`XYedm%^uhpnKu719ig+z)XX)?fPUwq<8jXHj>!$ABy8VJO!vnK!HwEsF|U)(5B zzA&ozd|&HmZ04bbNmd-~qO*%b36gxSgx8lnO_L@484rPUuWPS;=JFZ3_4j2=-|rbr zTgP&F^tylhG6Q-F#dEHL`v7|?%bu^VUy7-3nYS~5nIM3geIBp-G#-rh#T^#Fe4T;x zmts3?rd<10Qkh-+T9@%VmB=wtpPg+1GIO4Ta06DkeuNr>!7mqrvuEnmwhIGtaZDvb zSu5x?uu@llkmUTx27@uf+ehWhdv~xEggZepIDv$(jLf_TN7(g+)rCsxfMo{mtIgjX zbGxP52mM!&X)3wH0&gls40(iFj6Vjxz-5u(7 z&$~-jzK;Ty@cP5+107PbOz}^5HT1^U_vVtR_x%BA5P~KplX-f+cM|{8_vju&B$ct5 zN`SuJkoOg2>WCkEd7fD{bl3TjS2>Lg?Xy2J`NXD+HeCy=(PY9B!TboowVEa=e6%}Q;HaysC`)- z_|oUcZ5c;^x4ymdsWB}5EOy;n4I6CM{kt;PGsh?pWKXu>=MqQs!(m!nzx%(>{c>Zz z5LsR4hHPh!8akWDgmsNE0YCytu7Z)rykgAPyV~MJ^a%{X+_pH1;bTl+eOe`SWS2A0 zF-t8AaG74*hhZ77$VLqG-={TfSK`g=e%T-Uin$scUar0V-gSy`#SE!DMyR>*eBGC^ zBtYki{@Ulb_I09l=32J`;O~sXo=i@+X^1OJUo5VGyubS0LP(w(rFIgSey-*yR$FV3&_>ipRs~E zl-K=4MUfT!Dbdzs8Y6OjqG#<1Fphknj+i_W{?Oww(xqFsgvP+{U7(+!J?gT5ag&vt zX*z=Kx@U#4v}@X?P=f9T8^8j8`9|Xh;I!FI>72 zH&+72ne|jIb=(b7+IgPWvg@X$tgkIm=LZuzD9a}Pmgr~bD&qIUZNB=_OdrvIbVY=p zYqPK>dV{=i{Di=II3_acEvI#_r-jmF>2R1QPo5*Vt2YraeP{6&TQ!HAF-9>!aCoR3{7CrPi9(d@d(4*A27Eo6RtvTQ`k0AS}=vR~)1 zfQ%bW_3nQ}o}y^F8P2TL&iH)e8k9m20L#@2^ofqfdjNRU+U{2YViNZtx}jNjzu)8- z(zD(j%Nu@v>WqZGn!i72c&Bd+{1K+d$ilq3w(=$)scBNX-#MzA>FpDcEbsAiu0>&2 z72W0TE;B-IMBT^OY*Iqkh^EP4*stYWUWUS97 z0wdFrEX(r*@fz2AlG9W8i7zaS7W94ostjCQdts?J*Kl5c$mk2dtL{pOz>NOfo&v8^ z1Tcaw{&T*^wmmPf=yb)*7LI=Q?N{Gc93eZjG|Rf zqF8wa6;zQzLF3>rJeQlx@y0KQdZdmU(WDLMC>6eSt^<@Gu1pWEW z1923YhFAxNwTwP$8Ww^eNq+Io-Mp6TVL*InqH8XD-XE1u!uwQS`8IRlU-S~v=Z9o8 zKH$>-OYUE=_X_9GsXUbXqm+s%x}Vzeg$Ps9?k&7RuAxk+k&w;SBM16CBD%QzB`#VTfWo(fU6a?o>-kL$ zL^)5QGmIr?^n>3<)woX#^iqyx&7nhiEI;@ES!+-|u{oi!N2V0|d>5r7iZ=lqBY?lJ zJG0WH0)J&7iz|GeHsdcb~^DQ>2`R80X zl}KfLov%ic%6DJ)ejzgqE;jpG!;X~|Me9jXy%&zmv}YX8AMPBd_uCB#FL+XJ5AOC8 zKcFLQG-h_&B3lB{ag`COc(a{7?44ojkTlCoyodOnWFfsH*eg-%1)W+iOZ7O^WfL%Y zm}MSzv?SwWDo?Qj#@(M>6<>6iq9`!P)A+j1foYJUstlxlKbmZIOlqWxARurIcN*qH zcyK#2pmcg1tB|VzfA=m8ln>1vn(sB>udYqg7pUK32H0}22EapOkS2TzcT}L4Uk1&eEtaAngqu(ZY zJxMHF*0sM5GMy*ppg8Wh-4_g%l4AT7FFeC_n=$T7Ojh zB^b1UzmkmUXN@PLX(@&q7|(Af{J8cs8WP>MyaAmFBW!*^kTH5INows$uqpIITVdyQ{weAVR2g9= zUS;c(3^Wgr7yP*jr=RjYTHtG3O7++Jk{f!Q&XE2R@>7K*PlTVP1yh;b>#6B?$#a|8WCnO9Mg8G1q-`SXDXC*T*a3RY?TSYtTaAXAP}Lc2XI?AqmMwbCd`eTFGH8vXH4AlKP!|c(9q9_cLRMDE}`En4k z{_D(gdC5O++&^jjy@4qf<={%7*Wh^0?eN1Hz#PN^MGVO~1KT;unIPE7S43Hc0S;qa z^=Av=`E|DTD1rYu>w~;U@bl9HnMqxCl77~X!S_}isB)kias{XEfKc1w;oBUttdgzH zh*J)nlK9Fj5EP?pFo6Cim(1-}Cp2`AU@Tk#ah-OGU5L`T zqu02$md69eU?t8E`Z-CaMO&OfpES5UbVT*=6^=JY4&yz*p# zxv=O9YhLvy!Ej8AQV?GxV|M#O{tR$vFJM!o>EgQ(jIS9Dv&B5=o^i`{xH2o8uz&F9 zm7Cze)5}HzKVJ(@*Lq1ec3yUoGBP^RTnd6Y;<-y^1OX6cONpgZG#LKqsXUoZF)Kc z`4r`QRqQOQr|`8guH>87j(r~h$DBQ}wj{KM?c^WZ_dQaB2XIP%J$}v=UUq_{9zSQg z)lif6Y+cuR0k&z$av!J!-?r_%Tyd7TU~Bi`%|g)KG>?Vx_BRXtNN;1HLQmKl}a}z`XmlWKH7);YU%I zJ1^9?LtR;VN`-GkoFsL5~`l_=3WnZ~`;J;FWNMN+<|s(ZS7Z};j)fy|7INE7Buk&Ik7 za6zC(5qi5By~By#A<$Xac)EORtfgKT6lR1z$E}a*-G+PU$mSvu0b`4-01f>pWYR_2 zOij~taSEy9G8P2fJ?7=6$_m~L^t4p!l}fBEa&^6QSVMda#(-mjh*AJ$hanvGIsEzvh(9(w-ORJzVV$e4j*5S%v9Ne+N>i-NJk zq<{|pG=@9Kx4H&Fzm(`mIJY{Eo) zp4NdrO7o@&CI#lSL~j=n#~GD`YHRLow^OICwQ4+G5>~M{R{@8cR<>D3lInKC)DL@W z*u#fYUW4gKT*o2#&;fj->H?n1U>5+cd}8TXRz@9lK$VdM_{{g+<20H^%aqpqs?tA* ziELTJ9nr5DF3eL}TIRne0%WP6&w4;(*vLgGK6>~HU;%=`1V!9_;p)ZowG-c6bJ-P~}l z8f^`KcW!z~jc2M1N2pAJS5>RP=o(wlOr0%omTAzY$kME4e4GXD?Ht|uW!ul#IB@J! zazfNBHWSSD5+74NOd$TC2rNQ*0Q1y%fC_ET_Evcky~KpX3K?CJ_I8TqFt=oEGY?_pdq43kDZZ_ktZR z1&6!R4ADGXlXE;&EPZpHB1K>(`vr0Mb(%FyaK&crj?G`*fyyY?t@?O|yq4K=6}>X{ahm zsXAYPaAg)4Ll+8ysG0?VFm#g=bircPpE1lQ8=0np#)7Gsn>vY|Yfxh52|U#Zi_8^F zVVoxt1v_#uEAm|!9hj@WK3k=ix&bU(faWxQ$u+`N6Xc!1MvGY4Fl=OVs^g%=Jq!DY z|A&SSs+<>JHSesGAi#^)m6O|!s%Z%V&U z^LpcRF<U%Z9}-N3w{sK0)O|GsC& z7g-RO)xi8re0hGkP=9&k0Wu*p7$C~DEL*n$RNNy8^zSlK;0=RPomJ8HvZt%?qEa*f zLR{~kpC9jw%BkQo=11m{3EuKNo9_TeK)AoVSmk0G$WBh?bgRzWy`Gou)5nv3c9GX` za1UQ1nDD22M!%TjmSP^P&mcs`(5wQb8xY)e68xvgF$LY=ID;~H&EUxYkoDaeA596O zcyC6Zf8H9gpEg0P`+@PDz2bF({p+SynF?24fT$ir@>PXfg#3{0S}asz9ngkuLk+;z}rn;dw?Bkt^Xi z3OorTB3A-M6h(vg$Xy9XFdW66TnPz^MUf|0!ivzC{V|Oh<(TaI8k1wUv&Q6Y&Kg4& ziRX8yen?|(t-hf#H=@6(G4En^f)q{CvOqUTk}5E!#S~PYwF(Ar5SB=3yvT4L>&CaR zdiIRfQ3iPg&rt{t%m{5QR8K$Uls8p?+tr!DHp_mg)ho<@kGh*f;e-rM z-OG2pcNqLu8eEPr2ta_XCmaGS_M(1Er94EZGl}ert$Y;!H4D`p9Th9h`+UJuwu8hKfDGvX!RF-dE0otL7BIT zFFEjgfL4#(FDn7aEh?Vp{*m{a2B)3YC+uc4f2Y-HSM~|JIp^=Sx(A?D)zMQ2ssCAb zZ>zC@+b9Ih%(Mc5``XuHp&W|WG1nM={|98kAsofZj*aZ`KjZY@Jy@t`L zC9GK-M#&T0y$`-4>IDgT$s0UU{GyUS{LH11G(|BQSr9l2!k5ko1=S?Qg2=KoukoBt z3;!u3+&gLc8Ghb^26(Ce`ELLZA|Y_#r^fY9Vvz-i`+_0&^NB7(IeXiV0H^U;qkoRo zJ*T$;?2Z9*Wx$gBje$sT4}EzHnryCS;p2F6M|5I)zKpKd z-)EVVJu=LF)QREwGP+)WpJ7h+fgh6*+yI-8QzyBbof8VN{``&+e7!E-A4SIcuao|K zy{+82G}olB(VKGY@qxib;&+VY>uurQ%6u%o6MA3qzR>sW>g#1K-%7eKypwY){$OnH z8{gN<3cnR|Uw9|xR*b~_qBnl{Rgk4<)nqlJ0GoWaz%Z6p5MhH+&^4Vk1WM3!>Kjj8 z{-tN{RHO;qb_S=jcPcI)4bcO^|Jd0(e1*K6y%W=OV=Qq zQ)v}S%ywCcR5>NJkVG#ASZ)-B66{{OQAqp!HLbRN3CuN`E)#W6F2ZTDUk#<|TDExR zI35k#Wo2AntwbE>(#{y2{OYxrT}|YVo;jLUtL6In%xH9IbEmp&w&JpXD>}&g-J~5} z@9na0RJhsgUfK-xX;r$lSV^s+>D=yZpJ+9P_8rganrH=!JF)%B{_n^*wpGj9mxPjh zB=qozm#nO|7mQX{&~1jXyEfCW`g&FE&(hv}5p__Gt=ecPRZOT#6it-9Y_!G+a$<9X zd3Rf_K;44T2eWQG@i)EAR$A}SA?CDf?Dsp|Y@7vM)O&X&~3>$^v*h4OrE8k9P-WHdY`ov%4F?#{`*r6rU=8}61HPuRge z83z-AaD|qV(Q86l4<*aWf*|unblPc0=@49Ff?IMjwHA}nL`7%3>_mb${ApvH%+?Z> zboFrFWyD!D4c3eAUx<>; zrrnTZQi`SpHJqyHaJy`*dAUQN1N;;qA&6458}^6j8|O02XF1Kkqs2FLYtL+_Jx>Xz zodeaC%B(a|(7`X-B568Gl9DJnTqByM^rG3{ESPbq^s)o1CwtuLI1APowI%dUTbC2f zbgv}@m&?$a``Fwp;&BfYc+j6u!*$rO_ic0*b5iw`y|{6>?i%IE-Jx>``37E^2QZvg zD{aYM&6jE`zCmzPX+ySTU|81&tx7p4#oNxo*ig|ZSZ?aRv$PjBO7jw#8FW5`F7tvp+%0>nVW}jSYv>*7S~>1k5Bo*jt1Z~2 zyB#lkZhJg&_Qu+2)Hm)CPlE}k+wF0^g3b=wp>)^`Y0Sa~49KgX9ABU>%?kLWZfPzr zt?u?PS<8xGu7(SFhnuF=`Ss2yu|km9)P0H5kVp6F(r%PgEJncHknBnzi zts*P}XXtX?l)^&X;t@J zsiMyt3}qeo%6dmuH=`9T2)&++55g$oM=p*IW|hWHF!Hwea>JGOZjaZ&|L|*)+b;&K zBiGyYQ1YBn-3Jx5;zerj{N<7eMt$%RVm#iA7;%RVPZu>6ozYZZFJ|j0Si>w8j!S{j zGdW9Bx^mQ+f#Hn^lpYvq+fI|yz_dL9efuARsn^_ntjRT1<-|3tk=V>K$B-#9Su^#J zG_#Q(&$?zU;D%eUu55zx_l(&^e9-kHENx_|fJ|_!=Pr7dRoacFYA{(XsD900QHp2* zPt%Mt*%D{89b-VN4V6oys7faKRMU8>;VB8NrpF^LH#U}h-0!(HN+YSaM)aB=9D0dM zYfN@zg?+?_D$}R=j#E7>`>wB`R7Ev9VN84Bb_N^D17{ZQ4BBXcqnaD?!V5yxwjCu1 zDXoEl$8U^jZ<2c5OZtf?{rwO?gZcO1hY~B-@gP9(smegdSOVt$&o2JExm-<{S%6*=d9Yx8pcb&!_Xe;2ldS2%+ig+j<4cm7LCguz@)5u5PB_|GbB=> z_&MpcBJg$p%hz{oyNWGaeh>}3YvMtG1PCOc2f_)D5ccb9E$z&E-y2nR+~QsYyz++yjshpR4q(Yy zN8Y$d%lc{uYqv<2#ZrP{5rwn%jj{pz4R#GT`50CSe|pTCKg`z>4#r0`~0+-LOSjC4K(FnND zKF5+M>cT?vTz*rf0Zd~-A?xtI)ngK|;M>}w7VtzI{jfzM?2{<0m3@zkN&qt5r|$__aK5dN{RqgiK4Z zaU6$6=t*(F?{J1Bm)niWZk>cU6;+3ruT+-}+8H87t!LJ!1oNw3H15rK*YOn(zYF!c zU*W7F97>2ySH6FJ=~U3=5B|n6_PfRKo^g(k?N+r@z}7^V%%Vhd*tNMuwj$vso~kVH zZeZ;>MM|$7xe)|{PWjimHy;Tc(GMOsB}aY*@`TfTqvzN&PMkhw!Z!w0_;AoK3%5Jp zlIHo!uNrRBnTE0mT9$@nm%GOk;A|}58sp$1SuMmsB{n_G1=ff1%Cj93sMS#d2(pxl zfI1|PCrF&kG2(wnXI|N~Sy#3}eJ4|Rues_J;=IdO?r1;%|F_NpGKdy1L;^&soC8b> zk+Uads1h%Y!BK$qz|!Q|j)VnlE<553l>(~>j7_l;+B)YBNxk5pVoj#G+vRxmjtu7? z))&cDt_1rkFH72SEN->kA({aDRRh3~lcK!AIllrM?UhI&mtbv;4QdFW7G@x+2M4f2 zTw=qyFC~Dtn_Luy0erP4bMOo>wcQpdiL3O0C6V=$tb=vMVC!UojlTqy0t`FXz%IN( za0dkU@Ar^f*Y~{ieV*Cx{PDoG?qH7(UgGlb`danUqhHelBkTDC;EDtVO4pjAD8%c= zY2vmctPEFi^!^al=k!q3_26p5HKEIp!F^F|-5&yYk++IRQR9a z-${k)Cj)MlUR_aqx8Qw`14sA8-Oppd&&x&!BzeIofEQ1Z<~k2!c`AebWnRB?juZ3Y#J|;}pMfv+_*!*2x-M04oXht*F6e>0i3KZx8TnQE=1! zsf0Qj2<$5%RDiRc2>gSC{jy6+X;9BCxh{ltAK@&99~K3`Q-yjy-o@_xP=>QY<{`NN z1IP>y6F}IRNUHSOp9Da7Rk-nvudu+w;l=vHK%E?awaKgp)OpwrY&6NKytsDXo=YL# z*x>;DQv?J?hEwqbJbOI&e*M7SBF-sDj~tn$pHQ7dIVFsVtnZ%#?oL>u%Hj^Lzfkh| z>IDzbL>bQc*ErQ(%NmJbqbV&t8etLt^gPvM0jT6ws81!{lUH-ajayNUuc@ z;Ygq8`DiQVDpeeye_IM{1Pk#u3pIMcDb>YAw_2%=S8~|lnGwkh%Sy*Bdh@ItIS0=_ zeEe~vN&x)wS++L>2sn+fU(MlG@F(fJs7gdB<<|`rZZ8x4?eRPeaR{@cTY4LX|t|tO24J8a+Ix zFQ>%8UdtFoiy$m?oTu`0t_5(`X4yQ-kJY{jxu>}T z+J*N3FedSt0qzORi#t8s(I1;#gfrft7Dr7hwMSSVd?KeJ1!sq%L}81;1^7I)(l(a0 z?t79ilV>;DArwv*!PQ&{`F_>w;m$7S7dZaCS=kJ*PRpIUheZOvCotg8u>>4mumLO1 z=)k@|ftxS4=(<7OGF~EpJG1qAiJ!*uLkb2skIN9D zovGk#5N0L8T6Z$+u@y0-aOTh*f~yB-xRT&JY6JjiL3IP?^^9k1gG{CX_nSv+;0kze z!lSRC%BUIV3&75odh@*kPuB2_32znH$4B_HSKHiQ?svDpY;#rJ>gOk3Hy(Y3ZdrNr z^P*xY&F2)!PHXJngRiBK;e?9{Z~?wc2(<82zv-K=qo?yEIPjR#Cca_3h3QBhSpy%& zV@@@#p+2Q|O~^D$b+s`K$p3=0J>m%e!Uh|aBho8}Rz!-t*`jUR^oamQvPzpQoiF_A z=q&fNaDJz#Oc-Qk||ga9~jip=rf?>aQ#`ASnjoD|%@ zko`OmG;9GYH2^yk-&f?|v!!(fMMhE7vR!v5Ax|{~&6){INx)A7{K*Ll@L4|as{xAH zP_KDP)iqR)*KFM}RR)gaDo5!2DhjH+UxI1)0^EoooKy-Wlz-ci7kCZ~d=9X)oZl}4 zI>jGAjGrI!3*$b@1)SK$g7cE5GzV|FzW|g^-YF00YRt-;p~%;WjmKaPsXXn*k9z$+ zd9V!k+c&9#k6L+Ojm@63ukX}K0aLQ0>rO-MdU;a?IA7^LT^Hz?xLg(ma5fGSpa|f? zAEn@~=y|-!PYQi`1x&(w6UtAEpr0?3^BH=b+UG|UgdO&Jr_Q5~HPt(%bg^L{FTdvw#4b zkL0(PemNAlP_LEH1w#^Q7Xe81s{O75sbWm#%n0#eLwlPL@EFtrW8hP9&|p&u63(sq z3PO47!97wn65K`=xxraW{$c^=cMVan=&AsHf}i3}(3X5O3Ctm=tFtlRwZsa_M&Cz^;F{Z%bm&Uo~M}tStODPy8ov(L* z`z2$yA9_T5Clg$~F3HdEOYjAFtZFDie$qczxA|S;{Pqm*Z*bj`&#Aq79;L_hYU(^d z;`E58IGZtm)oC)xesPLlwm4hRyw7iKz6n_T=D55t6v=HaoD<@E2B0$Qe6?M02U!8u z5SY1MB(gaI>vZ@Zd^o`iNp5N6PJbA%^^T%}514!MaYeZt#;s5P);K+bKpXdI_+s6n zYU2uTEdX590k^Zc!YN&O=aAh5{&N>1&3FUTgT8ryXaoU9r@wf(4DPW!{UhQ`~j zU+mWSebA+Le$&%S_+(p_KUl!0799mgIia`g^T=1d1?OaV!U>`s;_X}!k~^G-RtIxG zf`cgmTg0mET?9`8mQ@!|0EZlzVHmEy%I>eP8jCAl461%?@8RKU%$foK@Fk#ePN*0s z$yP5&2%=b=jP88R!o1n%vbduUGL2PopQ`%ZyYSf_#w8 zLKA7V8^BBeMAieED!A5T!ZWFK-P?7_3-Is?l`UH&melJl02%{6D&$dXcoqma1qU6> zT)w)-1FX9D0$eK%k@GFQ(I)`G)#KLJ$HfOPO~E)CT6Z16xe!kS%Vi}jhCSW42sJf+ z`taF%1Jo-=A2+-82&{Oe?Uh+C?IY7v#V8?X)%`C~iK1j29Kf*A+qkPD>Tkf%k`J5Z z0AIE?7%v^oyr;k!A-@*$?0i17af_bO&(epV2x{Pa0I>-Ypq+8b`%E<9Mo9}Hoa!#Hv#*6+!Ol2@%7?_XSLB?@tz2CD|Dx-Je z0MCdu7EjwOi%qQEhX>dB9L}2O3-|?82ly7L;N=6p3L$0htf5GlEjkWLD0PLg)CBfp z9tl~;JM)2~1#KZORWiShwSmuu@-sx5P0HIS4fFCa>jytQa}vPQ<*L62jJP{lJC zI4xmLqAN4i{xJG!3nq*?STxePx^SK-S_79L=z(MW;*8-s*hb!hpCwgSewd$Lg*rlq zqFfpz|2VAh(23C*_rQNBCycp3uKF;)PuT}ly9bmLe(ClCr}ka)Vf&a`?=s?(Tn?9C zt^x9Rk0(>ZZ|G;@h(B#iR1ZUvZzmRJABN;xz&3AWn=RRR49?^NiuZBge7@lUFmnKL zH-R`j)N5kqe1b89eE@t1>b1;rMtXpNMQZfb-rnA=2b|wG1f74WV8To^+XIploQZ(X zO4H^Rn2i(|0DYxa_L#m;%LfJ+xM$}d;GV?j z_vZ3N=+h~QLrsGL+O=}!VC zx(Yq0#;&2Z%x@0+o4ffJh2D_D8~h8#DsUbsW<5SQaR5jG9+Aq__a6W9xD3oD(5!xK zVj^&!^pR}kGa!~#zPt+^7{Hq5-!L{M>uGYTB`k>OX0nC21K?7enRTeMx}+WZ=pw5_eLu$4dkZb*BlGYx9va5hGghz!ooIz{JWC9AD6 z?pg%!RzhCMO!3^Hg7asQBB_rOaVi#=_lBk?;K+=9b^_xHP$}TJC$P95ipy_QhHyE= z3ZIn1!gu&#n8L~t0QgW|#gp+dZv?o{_+K0l?GMa0XT_D1uhz&gw*vgz2#9O;hPn|7 zILDhnv&<75D3Vbj)@#C(o-zE@-hq4liw#rYvrOdE_m_9{luG*kEsCCTQC4bI@LZ2+ z&ox=>B;ZSz;R)z)JEXaA5qxE{Z+$pb8n9%Y4rizia6Splwa)qnPr5VtN_~osy~A{F zXTOQI|K5g-kF<`@moRW3|NC*`6C50sXLIr+5#KolYdY`n{)1(1c>Vc0t7LPlxaZS~Y;4GHMSa^_dqG7S3>vDrR ziJfD!m$Nk8^Oll80LUu(!i~=6`Th{Jd+n) zJo00Pz7NhncC`9+qh2}iAs#TC6LotFLB*4=%DCWO$l}Zu>TgA>R(rsWz5*52fjHp@ zGabLE0>3-HpG4~r6!ifUg%ro+bKSKySrLcCthJ9(c7FURNvl1Po2Ki$1pL~IL&@t@ z-;VOb@t5$`UjrDMBAJ`b?SbQNWO{uI5UUNO)1PY%wOL9gZ!S=S3Tlp+_K z&7A`bH9$V7R2!Ae;3Nv`bLObSmURH_mo!?{F6ebk*<+!eaTJ}Td z==EBUBMoqm*Ika-?jt^#pFZFZvOM7o=Tw0y&X%zC@`y_xaD#$N0}!_+SBC*ThCF4r zKC_HicvNrkY^j^*4&v6*EZ$niBOWN?D*GdNsS{qmn#(N}AW{@yTLgI)b}zR+%!`rD zOiM0y^`7Ho!r6)Sm*aVyB%W-s=x~-bk&a{0H{)%72A`0mk;d7NV5oMS$qW_d95$FI zJ3Z}4ZByP59r|R5jUlcacm{#GE``h!;8wSs1C9uBrZdBIFkfg*_ipU0{v5F+#+TzW z?QgU7{VpNqk7IG0uvrpyL)Vjsvy8{NAOUhL;&V-h4b}^s;!4)L-PP^|<}S*>tlUd5 zJwh2l^$r8q^}vyChjAlMi8XPeiPHxZ3hoz|UtAKm?DRK;E z*bTt~`x=@AanRXPdhov2mi3z3gIzxnz|YLbnY5&1)3$#k4^u79<2V3!D=saZQbeO( zZYEpu$Y_>5FWS9|cq{sq2_P}h_~ZU6&!#DT0let81iFcTm50__QLXK=yvwauH! z^l!#xaN-?)Z}8iz|6Cthew|SY!L8(o)GE?ooe%T!SXh^0>UefEo))uHFy7b<;iuH( zlka^(kUUBer>6%fD+hoabCDUl6TiOPu&Nxv6f<@6TXA~$X8y*e2LtC7l}4Q*JMm^x zY$#whu7-3dS! zqH8jNJ4CZ^_P6Cy*=@K3-b|$cm*ZpjjeGo>10OhFJNESk_nYZzo@c?H`Iq0mVN865 zl>j1rWPNeVhE4vW3~%4D)#5)3y*Max)t+2o@CSXXhqnZAFR&YCo1n+7kGgi0qK7p2 zdZLT3aAcLEV;FG#Itk|ELaW-`l>7qj$PyOK=WMErweL(Y03dpUYagy7V?31?eMN-e zvqRQ%DF>em%05C@Y+g4%1c%|Q80xkB{0>|9>_Oy8) zKFrGx!!BF(_wIdI+In)?GZnX&2FRMPz`2)mjjx95=1w>$t~y>XC&q`lLqLuOK(gf4 z#1{o$vGd*SgOBZn$wwMK;~bldjMc?-)u+Rd)BG0);*tX$UxpMIXknOf` zqAxbQzU+iU>saAT<=y&|`M$#MEhddq+M3G-ZoZ8Ea>&hsk@yS0eYr8h1<`xfar^nE zcWl4GVI@kU4FkA?;~-0?ncw;GmlQl~n8T38au*<8oJoR*=i+TJw;edj43R4;QUL%R zD~P4wO#Nz(cl(1nkMPkJFXGk50PHTz4bDnUo~MI!+!b>uHbQi%3deLC3FB)lxB43~ zGv++rxSZ0yg)`q!{^bDSoD$|*?-XqS{Cwexch`%U*)h-d5?my(t-u$vxWlw@xP1kV zEWQ?ta^-0E{yxoX!=b2m2P=->X(n9&+LFPYeoqX79G`g2d+=|4h8%SC4U&r@-S>EI zyjmxS;_EjTSvZuLwNF4uUsD=5?QOzgP3HMY-XRUHdM-D#=_9PZ!k8(+<7$3;eePHV zh!$IDkRvMa4D&Q_+BBbDCrpAir+pO8gjj#)dBl!f3VozM$nFzDyf?jY<@gcvIWceZ)4Vg0(O2fNBa*3_HCNjQRktIS0TQ9<}`}Cz>Ui6UNC& zeI{fTV|hADC@QfvL5R9*&AsMzlNVr{~A)rYiz# zCsU^z{<*_1GXR`pTItJM%CvZ3vx5cLxszd@nS!--_!~<^Z33=lvXgi7-YI}oW#2z} zwFUm6ZpWyj*cz}ZKYst2TSAc^Yj){eE(`v?#*DTZ~7&{I!Ej` z7q0jK80Dac05zx$e_)<{0!Z(1M|cLDD@DR5zNpXmOLVf`$?EpfWuZP%aNtzNcKBfI?9H_;5&sqWe>-H;rg849ElLe@!`A>e{Jjwx^Izk1XjO`qWtp1BX$9vv#SPE`iS4#1e=WR?T(Ta%}`5jaU#x4#_r z2f)S1Os>!QZQa2U! zh0buehd%*E?1{1pXr%ajKD(0X5dqHSU%r0&jb8+JZ8*-DfM>xzy_h>+@Y$ zN|s4T5q@7QNo9BXwRkz1d`h&hMJ8cjIT%hdyC={PxkZ| zTZVDljr*8V3($4*7!s*`TIySXwr2or535SBF$aPm6r0^Xf%F95W9u}BglvG*SWYqfL_J=0nc)i$N3YYcUkSp@4ym?e52^NVz?#C&blv;0s6(0iXNO z-k#9TBuizmM#!VM+;K%?O~EtajBT|9GbjLl^fkCc059X*EhdUSRM5L0bBOM~9KG@V zvBCDjskTYP$P zCns>OXkaQ`1GpDjft<+(Kkvg}zaam58DKm)0LRkG4nE)WYDg5SST_ph#@>FB=fVw& z<3>(66G~;=e>HA9;On#O0}%4NC*lt76Eu*PH{tH52d}Hg0H1!ptuw9`iyd2>su*ha zm*CE@-M833P^;f7R)Y1P#OHC)L3{r^8ZsiTZ=ZkLWCt!^L zgv|0!pk(P2pDqBDk8k*1&jF!dNOlVnK6jq#Cplov#Q9g#^je=_x3J>LIx;0cKNzr~ zWmC;>be-BEd0dzKbd?VI)&YKffM4#p9$JGc0k)aK=Ha-7z@CV)eo%FTLk^KH63LLX53-!tvcWnJ$v919Om zXzLlaCco}jl3f+IF(ss@fjx!5zx1|m_;~mwa~nSJ4*m-1q)mP^41zuuq(`b=+qn$t zDQ}z(tb*41R4$hWK)AZ%U%NU~-=b3QH*hwoz;)LX`~@7PEr~+|zJ0cyc$-kmXD|zr zM-`}`?z7qu+;mSB-3B1O&v^Xuo-p2~oH)x@UifKukEI>|HPPTVv^Tt~8(0dzF4-Hk z09?A5@BOtV%i&|>)kVG4L@n9}E+oW0Uny}AvVA-j_6#c8BFIXV-`fya13=L9-!lak z&I76j-k$)jd3+w|7i%s@ZoyfiZu{fT(eu$=VD0uB*wKX;W+5csyU=@sqR0S{eEXa% zN{jxSHVKw)R)w41(2@t1*TB-zIm3CFtUG>Ptd5o*d_m${@dc#jK3#xS`AjU-KgUoH z)*1xqrMdr|FTi`s>KC)uwF1^5-bZ&0ar&1gb?gGxCGE*o0F=sl8{_fn6`y3kqzY>a z<`1#>G{q?}jwH$pyRZ_Lsh%iA+Phgo3veGa`7r%m@13Ak@(f@@nu~6_R89c8j{r<( zq7U9KdBZ$M^t}&3Zowvm1g4tNE3rq^YX}lk$!`eHQ{H`gojb>XEoyEkxO%|nUFGjW zCiYkouy*AN@rWcaKo|n8<#4bHK0gD)282xYr2# z3Ub8nM{0rVYS~j@{!AmEmsk6_^gC~y~kr} zT@MbYQdyMe$Jup+tyb_gu6(CKSjt=!>J z8N{`Q@KtnyQT1FMyQ)tvg1%{n^=c~MRP}7-WXl3mzgSQ|Ke@s4?zsHgHAG!})-C&X zbp{wI&9Z60@!b3sxi6h=O|@HqqQ7S*%ZG-&k>4r>M_~s(bU33G+{N!Yo$D7-8l8PY zJ?2kR0ZNnn?xJ2%`2fpN7t8JdjV|us{J-xIb96A?DhkrI*c|3lE2Ow_xheqPFe&bp zKy%!xu4n(fbiaCGfD`YZW*Ly8r_qgfTyXCY7+Ayrr#OHqLL)FN>UJVl(fJZSEX z%72*X1?%cLaQ)%|pN?3$|1~w5)d;ANBFH+hR=eiesn)BaKJGrOR|XuBV+E22BqNxD zUyURyuH;Dpto{i`HA{^<_>|ftetmAR&f{4F-;BL<58qLz+S4n;X$hWwu>_oB!VW#k zYhL=s)z}*w7T_cKH|$AU09-Xj$cZSh-c#uVR0QX*S-A8T?Hql>o=b2i_+^iOeR6qm z>w_!!-k@djkXC~$sKIR+TJyZm}W8^b7{fRRk>J9m= zRK@=+ji>s+ez)sy^4)c#Wi4m?gMQq_-+kXaPU_z0;iABG{8KF%cw5QF>TjRqQP0` z^D_)d=E6H3R-W|YDXy}vu)Vrx?efnym`@dfpJ%`EZY`#KeZL>BvH^1bS^_JYsoQL+ zcKW{j@etTi1$zX{HC##9%b=tZ%#_XvhLyP8pZ4dzEhyc>j?ig&*!^Bgi+Ihg8B|*5IujOI$ad^Uc zx&yGIuLSsP!Ih}Iu)C!%)*99ybJhd*9-R1^Qa!8l%!;!Kv+G4av?E<$Smci%oteR)>k%z*!>Y;nt5=`Fm4 zrB2ke!tW&DGfvl04EGY2zc4smVs?+=-aPG z`Ng5=wgb1GLp-b%F}kkne1kY*gY$IAUk?WdYr7yfJJDc=^^$LxCH=(%P@N=Ew0=S^ z20q5qbMi|WGC;?IdLV_^k}S`vWf@q4AVKIO!8q@%`(v=4IF57Cm7rc^59#>E=haoQe)tdQ@F0;v(T0Fp3aM zgz5PLVW~oJk*kqWEF+W$Oi~rV27kREZv%Eo-DCkz=BKIU*@v#SErzYLCFD%Z^gv++ zM;(K+f>=g#zYc)8sVN91JqzUV^tMW3FV?lDLu=^XrW(%SZjPd@R z2iPVD!)6=op+8lC=j-6}_=dxVN(gX6iU(_EUj2o_YZwL+zA%q|mE6)=$PZyb&OCM8 zCrAv1>_4B+bN4Ydg#AW3%&%TGG!OOk3JKU