From 8e9dad4c69e552ffd69be57aa32c0b535e831525 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Mon, 24 May 2021 15:11:30 -0400 Subject: [PATCH] confusion matrix --- Regression/4-Logistic/README.md | 30 +- .../4-Logistic/images/confusion-matrix.png | Bin 4965 -> 261117 bytes Regression/4-Logistic/solution/notebook.ipynb | 284 ++++-------------- 3 files changed, 75 insertions(+), 239 deletions(-) diff --git a/Regression/4-Logistic/README.md b/Regression/4-Logistic/README.md index 15c07a0f9..8a0c3bda1 100644 --- a/Regression/4-Logistic/README.md +++ b/Regression/4-Logistic/README.md @@ -169,33 +169,46 @@ Predicted labels: [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0] ``` -Let's unpack some of those [terms](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html?highlight=classification_report#sklearn.metrics.classification_report) with a confusion matrix to help us measure the performance of our mdoel: +## Better comprehension via a confusion matrix + +While you can get a scoreboard report [terms](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html?highlight=classification_report#sklearn.metrics.classification_report) by printing out the items above, you might be able to understand your model more easily by using a [confusion matrix]() to help us understand how the model is performing. + +> 🎓 A '[confusion matrix](https://en.wikipedia.org/wiki/Confusion_matrix)' (or 'error matrix') is a table that expresses your model's true vs. false positives and negatives, thus gauging the accuracy of predictions. ```python from sklearn.metrics import confusion_matrix confusion_matrix(y_test, predictions) ``` -Take a look at our confusion matrix: +Take a look at your model's confusion matrix: ``` array([[162, 4], [ 33, 0]]) ``` -Let's understand what these numbers mean with an example. Let's say out model can classify between two categories, category 0 and category 1. If your model predicts something as category 0 and it belongs to category 0 in reality we call it a true positive, shown by the top left number. If your model predicts something as category 1 and it belongs to category 0 in reality we call it a false positive, shown by the top right number. If your model predicts something as category 0 and it belongs to category 1 in reality we call it a false negative, shown by the bottom left number. If your model predicts something as category 0 and it belongs to category 0 in reality we call it a true negative, shown by the top left number. +What's going on here? Let's say our model is asked to classify items between two binary categories, category 'pumpkin' and category 'not-a-pumpkin'. + +- If your model predicts something as a pumpkin and it belongs to category 'pumpkin' in reality we call it a true positive, shown by the top left number. +- If your model predicts something as not a pumpkin and it belongs to category 'pumpkin' in reality we call it a false positive, shown by the top right number. +- If your model predicts something as a pumpkin and it belongs to category 'not-a-pumpkin' in reality we call it a false negative, shown by the bottom left number. +- If your model predicts something as not a pumpkin and it belongs to category 'not-a-pumpkin' in reality we call it a true negative, shown by the bottom right number. -![COnfusion Matrix](images/confusion-matrix.png) +![Confusion Matrix](images/confusion-matrix.png) -As you might have guessed we like to have a larger number of true positives and true negatives and a lower number of false negatives and false positives, which implies that the model performs better. +> Infographic by [Jen Looper](https://twitter.com/jenlooper) -Let's now understand more about the terms we saw earlier with the help of confusion matrix: +As you might have guessed it's preferable to have a larger number of true positives and true negatives and a lower number of false positives and false negatives, which implies that the model performs better. + +✅ Q: According to the confusion matrix, how did the model do? A: Not too bad; there are a good number of true positives but also several false negatives. + +Let's revisit the terms we saw earlier with the help of the confusion matrix's mapping of TP/TN and FP/FN: 🎓 Precision: TP/(TP + FN) The fraction of relevant instances among the retrieved instances (e.g. which labels were well-labeled) 🎓 Recall: TP/(TP + FP) The fraction of relevant instances that were retrieved, whether well-labeled or not -🎓 f1-score: (2 * precison * recall)/(precision + recall) A weighted average of the precision and recall, with best being 1 and worst being 0 +🎓 f1-score: (2 * precision * recall)/(precision + recall) A weighted average of the precision and recall, with best being 1 and worst being 0 🎓 Support: The number of occurrences of each label retrieved @@ -205,8 +218,7 @@ Let's now understand more about the terms we saw earlier with the help of confus 🎓 Weighted Avg: The calculation of the mean metrics for each label, taking label imbalance into account by weighting them by their support (the number of true instances for each label). -> Can you think which metric you should use if you want your model to reduce the number of false negatives? - +✅ Can you think which metric you should watch if you want your model to reduce the number of false negatives? ## Visualize the ROC Curve of this Model This is not a bad model; its accuracy is in the 80% range so ideally you could use it to predict the color of a pumpkin given a set of variables. diff --git a/Regression/4-Logistic/images/confusion-matrix.png b/Regression/4-Logistic/images/confusion-matrix.png index e19b0331ef90435b62f242561af84e08b3095886..240256bc7366a1b329623c6a70a6b5f16ca4574b 100644 GIT binary patch literal 261117 zcmeFZWmFx@wg!p@OK^90clY4#?gR+#uEE`110=Ww_uvvVNN@ry+$98m%|1!adH3ym z_Rsg{GS*-f-Bn#(v*xU6-y}jwLGl$mE<6|**ehu%aTPGI7ZPA#(BiN!fGeTaAFP2d zC<_sJ5iqdYID~s+Xy9*RQz;dBFfcDlFtC7NFtA(TQot@4m@6|F*uD`M7;icl7?wkJ zt1>@uBi>v~`i;Ci7%k9-1$zPh0t^ypfrCK+zfga*!GSg|*z=Qt7MKP&-k-JsIQ75# zhgpF^{p#}u_!!TqtwJczPOwV_iSQwd^{%)AL zht>Zw?D@{WhW)j!e@(~#{4ib>b7y-S*XOrVx3h8)Waa;Bj{kZ2-!J*EQHoAh=D;$a zhY7O$8uFjl{%3zBOM4f4faFeArqXsU=1vYy0QvtK{d>ayy~lq%>v(1`HrnD= zw&r%u&-1e~vvcz^{q3#)IaJKv#@_1MDe zRg?|{5)$M@rISQ+zDRSvSTsJj4Q_>d_l;(X#!cF#MB6JwQDPDjVHfceg4l88YNc2= z$(ydO6wK7Nm5l40oQ0f~8-d$wH}~zFCLaqAi)~+>N;;WfQ3!J3fB1kC$D;(WIEDXX zM{;CR;eJ>qC{$wb|N05+M$R`OXa1N8N%7x1f}`e}1kZ!P#sBw@uo0{h3u?ORSYYCR z?+6B`#L{CO044R`Kg7&XCD?FZO1Fij|9i&(px<|nf1)2bGB$)-G}N}5bN)Y)P%Zit z_aCSSjtct{oK^zDxr|5YzmoZxwzLu+ul|90U~o{OU>Ib9JhS-J|3qn^U;B%Hpk4qJ zgjhgiLU;CC#N>aXbU-AE0pvdtC6Gk8U&=^<14iZ_IF%e=zv_QtDdPWQzyFnt|HpoR zLz@3%zyD3*|L^qsn*;9uztc}C3-;eTMXV01*Xg58%cL<3eWj^=wP!KgFPo@bo@!=R z(xro=BI`TxWhlO4(UqKvPS$DPETpk`1bad8Z#9ZNpf@)d4CfSnONWuv`ZP$^si<8J zF_|!FV|vr6W-A?EZ7nXBI;~6=>y`Cgy+@-;?9AwR!kZXe*^2?_Y0(D`do|*tEY7r^ z_JP>_Es?)H_DiMn=P)Qr7hHd2{w6JP4(uV1m(-g|U6MSTCG>N6>6vf&>&mE5c$N^N$`EBvW!ddr!YqEB&TYpX9YDTr07|*t;tS@VttvxF?=(qhuiZ6mdH;CvY3q&osL=9_5%rhUyu0Df zgui>6U9@}?@jMLKKlV+2 z{=3ytMfPtx2SAa+9t!!X<>uXq^kF{vhiHykBUp@{2&R)_G3lTChb@TxEpx~M#*Nm- zcZEMUx!~FxwoFBOuGEq#bh(Dg5iE*L<`*pf-2ab8AS^Igyn9{q&$ScSY;IK&Yxk4O zsz9h2e&;b(?M_o!2pto&zoDftgaJy)k$Qhc+J7tpj((+6n$fTYzh(I9q=Ai%qTG$3 zv`~FT~(98Zm+lQ^`uSmceYQ!HL&Stxh%SWY%(P% z#FUigfr1bf8JD-KIy&1}Qc?Gm({+w$#U(>XG_OrKR6J{C7^$I$TSgF^nk&=*0ZC!F zyB@mjXp2VYIGrmADBiH&l!b5pXuEVIqA!N>1Vyt0m7{Q1Ft zQRDJ;%F^+fI1TE8WqFY3O%qIR@|&1*GOoei-w##2-WLvLqf`q;Hb_nm-SDcdE6cVzptVnG2H76~WUP zn`n1E05}YW-H*LRJ0I>(Y%XH6TO15Dj+bf4yf0lRQISXj`%t-+oYXi=e0T>HbK);j zQVN(I$Xc%xJkV1k2*7onle)Dz{2$ClMx74LJY(LLVwVO6<86?4-%u$8@c)szZZtpw zJc3eE{)n;~)nuXk-F{ZRpXnKALQvoFySB@C5Fh6fXB0mfI_fE3peELr#A{84(y6gh z+UoJ96F;@qCOb`2BCaB?K%wz$Ty>ftWy5wKnhuzWDT-vUoxI?UH>Q7x@B#{3W)uuF z>d%DSRFj=GEnB?dx@)Xm5f>5!gglR-Bs!9*xv@e8?HXdhZaN~Dw7RhDPg#uTC0Pji zNHPw5Bf28Clkl12DV=Q-<};sGc@ou=jU^fK8?>{_V4oGO%4r$@)iq>Aw0Y)fnl$DFLOn5%;r{p-@b zWPX%Nbj6yk*-Y&hortE*p{gVb*H6w+jz24lDmK2F^=p_n$3fjI7^l4>qJ2YF{){t62jnFDAY*BrAneA4Lghbk{}vVD zZa_h!o+1SFQvHjk1I1A-b<=qx6J&86e;i?AqYbCpCIqNLTsb-A5bA6;?+E3RsACoG zu-_P6sd(ChHgE?W#5Q2@8JTKr4{azg$Qt9dx;dVwsdA0P_@jcLg22SApf}i^R{}D`Af^a12?qq!koxqxFkrrZ# zHdA}o!!SS2R7V^-`;c?7yoQOyx`Suw5xB)Ji^*s>^fKA{-2J9OoE92f5n&c^3wlKKF%CFE^uO1b>|ic=t;?Su*M*$VR3_Ps)&XiBaf!NW zawFqnXW2fT<3+0Q`|Z4Li0y7jMWgZC6jt*+A0EdK8@!kZoYhG%YJNYs(}I_gFU4*arNxP=+d#2%N7mT1@aB zX}3Smx+PmPmK=DPs+VU9=@UCtor})&f7(}1%jMPfMe|PzFolT7^v8FPhe-r>Q21xX z&Kvo-1@GYC6@zx6ZNKAxsYGOBY6b)7Kf(@25f6VBt9i8ep}!~w9zlWxybEn;EVdF` zWDO}5Kj{bK77os0@yBjR^R+XwRH%2`(wyt6Xn{*~r!cycyeFJeszZWSh11kRog5KRi|b%3h#Z z(IERSke}ZxJNkf6>g{aZh?46SvmZ%d^RpCliE8`_C>e?7*A#SNkP%gBf8fYQ9Mh5V zdkEDr*A9nDlqTk)8?3t#GaqEQ&N}YvI%Da$4SSS}Gxt1!of-c!Q+B_#z(zv1b<5MD z0|EwAz><4C*6t%*CkXSRH0O(2Eeu!n_Kzf81Z|mVd&e%$_CAm!GX;*OF^%5KTbu9K zL93wlvR!=%xj5HMVY9gTF?J4ubC;zR#|ckEh*J~<7x+}Lb)6*e$1svYgSc`&kf~BM zoK&D4{XwzBX_-JcS(~N7gGm}_hBnl2hRvg=xbiRDJ$C5&t@UT?DpVN80|4F5y zJ(h-io#UDJDZkwQ;r+MBr{(iQhpu#>jbd4jTRhv|ZUw-^-0ZP^Bs2OL&hPYIt;R!C z+8&}ootsTxL`no6u304DA`TB-8wPHMJiie8vvTWqW9!Cl26AK~aDLf)kMpSWPwocF z1?q7)>Tb8o+BXTjKfVn+6>e&!L&*VKW+D>}`ZNCqrP6LMKbgmAZtXr=Wo^S3d(@G% zeD(AYDdJ(M{WrQ{(?P5?Tj*$ZR5$FNtL+hkLk3>a9)5yB(}14N&$fzXn}Vu4(Aq&l zxVD&2*f`bnOB5D`RWqnaOxqbtKIy!dTxhm$+T_sze67itaMXX-aGSiA zUl4sbrCCmokPtuwOT0&0(Ku07lv=wb)iT01T_9VrvYh(@YMmu9BY`AM4ML6YvnbSK z<~Bzo-N*yEku#rll;h zOn=9w^N@$iHP@&FP(<#Rno_@fJ)X#clnj@a!aa)Aj)&qWk2mZpC^p$*MkhJ*yAp$}+}$>9Z9JVG>%E7c zqHe8LC+l~@z1hZhoJ^SPWC1&od0ls{Dl!C|e3SVu6P*11FPgPx0s#Gs(`};s$6a!V z-I~1$Gl61K>bf(EtjnL1Z8i|1(j0Iqn9PX^Xdq7(4m@|ML#36d*e#mq9Kbc6?J3m% zVwXY-OgeQbZF zK+S|2c?V@=^n<8cV5d~2NW@OR#d#9;nr{MES{R^Na2oh;))Vf5`$>|Fi3-`%x@WY< za&)%Fb}2DDCFfSEPlJ#s3;_%1{ZBR_ktnkKR-aU<*2Fw&4t}5y0~)tS=tdeM7ND17 zbS$8DWlGjgPz*q2@Tp>{KdEfttck&fvgs9e znSL&`bhjc@Jl>#;jABl5S=1Z?g2te;;ag;3DKh;)s+GtbU6-g&_;7vC_B$mmp!^1* zaIrn2@u{b{Ae@#9$O$}vU`RPA<+ZN)LhKlDMi1q7x5t!&EKb^Khm1EGK%24>AyY@QuY*Ru zn>-ow#qC+>ENi18^F=g3+7p$X`%S`8wUWK_lu?MdPn%Su>ObE{D*4grL5|^J4F$xm z_+)*2RgfB+$6tWzt{L3J_!<6D4+L#B&8(QoMH>&;PO}!BGo?py=JkLtccqtE(DT`# zv4fr&F*x~cV(5e{U}xG45;2}mFC&>-rsb-XYgC?o2=@Ch>T5og>iQg}$gSz^s>btP zC2m5(XJoj@@|b=>M-eCm@t8hE=G}Ml$DpuMB-ZTsLLqiq_c$20ngR;NG;O*hAlKJv zl$JWkET`DdR-=3=^mvr-|hJ(#Nv>Rn${wd zBHU*7yM=Gvrch$fwrC^aGM#`k={ZNt~B_;{IcCxenbc*gZI!SUgRtk_kKC`1I1Hj{cU z^@-rOSO=Cv8I?kVVClc1Qhc1qQO_k!GVfj0myqZDQb`pTO=#ir65#-?xg?oLEB>d) z1MNb^hBzMzefRoFL&zsks^7b<@5)WEmFUAQ?+0g@`Kk3D3j%K5ToViG+U!j&m`8)ifq_ezMr(S;c`LgvjSc9HpZ%b*DX3 z>e2X0GWp;HZLL!k)%%wDfsT&IRkwP2|XAsMb?$?auFJ(4mB_dTjav6qmm-xA0xTw~BHMGwP3 zFZ?QpvFC=W)*|sj(ZrML69>U2n${81Vx0lyrJ~I$=hjqaVY|vlnvl>c*3YpNxrT2l zZpkmhkmcjzaF_t+Nm&u{3?qW zoJ|7b%r#0aRq&{Q6=NAxD@LJ*x?k1GX6B33=BAV(g_ z)DsUPY*c1T^Q42quA@lP9&uG43yAr<+GYY*xry6j*;xSBp?l0V9!W19&eAo-033<6{_F8@apqkA^?Jq-O!viV$+n z_RnS$DmqRpMYr&us1?(B*WZjvqtw@4>!F|qYSMks>U55(P`)`h#^Kcg`~yl7PkOnY zc2XNH{vc*6|8yR8O#2mwhD=g(kKi@MxGp-Yn-choFXvy5ln90FWRZ{QCj8jtk#WD2 zb~A707I2O168b`4L&3xS3;`TPKOVG0m|uDdDq2`Sjwmu={SmQ6t_V{N(w=+sPoL?o{VPr53pbV|E(Ts#BZU%*bgg&)PiFMA)ZDNqUjk1Q$$d zaY4OLYJz$lauoBfACf~-&X)4NsOCzSZ|%XkkG^`F>!8bdyo4d6b?DYnf`p)}04441 ze|CIuo^zKgWfg}rE~GHt$u|h)`{*co2J&PBL2_8U(kOWI_;5VbRX_50clC6z4l`HC(aMuAZQ)*Ts?#;*VSn^8q zvaWK8!&0!W#oIbL%jSg}R*1Jgn`mO*eJ6;tAi<7mCJ||_wpnb_4e40fhs7Fyg-*(K zjT4XRoL(q$o}c`zLuK*=-Ex10F;vn5H0MOakN8ykWBn}lAO;IsGs~D^4ci_bgSGC8 zk8#)!ctl^e7h!tF>j@-4#F1>_iL55%BlIi)?i3~(BtIFlw}5WHj{+A@)yB}%n*lQ# zUZ2U70+HHhBRe4iGIV&yu63-TWuub9Sv|Z3y6ST3NG2X~w~1{v)n3l)+gVTMlJ9h7 z+(jHC&B+L~CqS_VQBOhALo_JQX27v3;CDSBr&6al#NIlnQR$R)BS&e00#5pJr&0N{ z8Ch~CxrDXvuLGHN*V+$ILRwBsB@U!d1Mmtg&S^dL`mVTBy-AQTI-Ag&E zckoMrb;2WP4j*V0Zj7D5{;0EI$^a!DyHOd8>z_+Z_XY;~%%im`MY(mvcXKOoAI#G6 zn><_9iIUZYGVYyvQb@l)_B!`PO~QS@RRw*@7s<8NG?vb=tMeJeyqQmX+RaoUPn-y| zP94tMX{XYx(u-I=+`aRr!@AR;K_x`Sw9HeTn@_9ezTk(OPa1lbz9NFQ%KUMm+6b+a zg(CC>Ess|S$>cS1fOjn5rq$+cu!E6a(a!1ja~nZgIWm}pcx?n}&BtK<^I@@z?W{)I ztr(&x2}#84V2m6UNgjMC-|O87d5OC+A3qRd zMW+Rcx4}M~m0z#UG@7_g=e6Kzgqh6q@o@UQ#2h!!<>tHpI-hsJRhe)?`x;HuuZ1Fg z@ETvBNHn=J*}_6T2{5{KhRAlBMn)~ZZ@b1~tn3o)5H*df_+0%oe~hq4kKk*y(->nG zf<-DjNJwbTHL$jtP)6$y=lU$0U;hxLvZ|oXYk0%lS6$P|$!oFZR_=Kuw02*vrlGIu z#8Xc5Ls?%3JNT97X9XRho3!gVNOOyE-4$Vfc94hP69&{@5RJO6> z&RWkK)wJRw|H6(7nfkS#;1Ne)za8mT2ZpSf(V(4)NekWr(?=df(gUe2ck;7`v#qou z!@Kc!)K0Vv$8^bQm=-OKO-0^*T>}q69jTXBx#C0vQ0G>qn}X%`4}}2nlwc zr9_@5a*MvR23%V^@z_ExEdPr0H!CQHAVLD$4Hgx}kY*QM<}hL&?(LUCaHwNsCqtX2 z1K!h>obs7(=eBUG&;O`^Dw8c6kY_`<#`_J@JSBf~Cp}-g#V*~` z_j{?`V|RwfzF*GXf6#q6Z6&0~6cYif#`Q5-*76ZiS^gofi_OHlc!ibAU(J+hs`Z+cbH7@dI#_Y9G^wCQs+Gz5`-|tyB^nGOf(@x#4)>0vLUO2M%a4eIV|OCC zRE&MEaP;6EOU-ZmPDylYwc(IV3F0)bC#|$7O+}8e4DVYD@9`M$xDrBJu0&b(^aJDb zW#Q154lD;NOrOSYpeLfA&rvsU6H8$My-STjN#%#IPF$`#c`JjA%a>+oH7I7)DQ zoRUb14;s$&M`h(k!nGPcXw zpTCBbb1OH(UZJa)S>jMY@lo+D!S;+Px#e|=`4X4)nRr2%#Hw6zI41+I0Ya57ZE`u72EHOk?m~{d+lF!lR zHk3cUVm*Tu{EGK!8<8(u$gUsJ*wByV$n|rNn=6gx@ahUCIo#`@Q;s(GX8i_R-=T>* z1%{DVyE9{rHdhczDvz5*VOx^+T_wH(n$=_(U9}F49UlI>6Xky0<>H#$PrHdSdM##O zgd*^A?igNQV2jWx_4HV8EnV|(`xQFQz`nkYV8dACXvT4an*i%lzVK_8L7}gRI}s8e zxZG#bvW%nTx*|kgyq{VGo%iTH1kb?k-F%GuFdUcbp~K3?TBv^Hf!AIePoy}g)fb^W zRXqBGr#K%ujw_?Z6fBPbwm7NE1d2ygjsl?f=6(iF!MaP4Vw-}~b^H|XYwb`dA4vdl zwU&eG_B&Y;Bm%?{>GmLBvwk}%In|~#hLz*<)$UNzD8phVu-5+CS~)^yAY@`w4P?j4 zzRmh#sU>P^ecL>V>381hG&W6E-(N4klkYP64Cb0CLuY>Tb2j37F_axrQ7dkzv_EPM zhuSE$1Q}06J$j3pB0r}&!*pwF0sdw$IV}al@e4A9=W+u zAxFTvs3iU4xjnaXbbg$`Qhl2J>Q#*nzxRB~X@J7O(T=Gc<|X&j&l5RHug5bY@K1!F ziSv~_r3r;x-wy;fSCf$&r={AyJ(Qh$f!0rPt0hF$DjA*h*ac+Rk1TR5udXdu6zuSr zmyGQZ z+knQDS9r9DcydyLPDU41buIVmr2H`>!>TG9e$m%_0a3s{VKEZ4Cf}}jx-3o-s0KjN zq-b+Feq{WzpQZx>Vy{ZldixM&gvw8~WA-^ti!xZvUp@5`spVodRE-w z=h&RjPxDw(ftpromZ1QRFejz+s{F26u9@ls$gJYln4{}zeO0T?)UL~P9oExwW=sMO zPx8kuUR|P(LG4_^5zO@-y6h+`!0Gv4gb!_V>fGW57aD0ks6Y*-wp3tebo$h8eme(r z?68(O+;Y2PAiI4s5&TkUny*KGa>=Bvq+&8%b(%mBdHpGWB*nosdjDc^1A$B%IKdM| zva@NJ&d)v~eij*y-glN9iDe-(q(!j~k5dK7KUsO5BeO0PHzarcqF^0yJW>^Z?dM79l1r(!>nYs!v$G^*(*krg*X3LfJ6_T~wo0 zlMvv@1*$+7yjVdG{yGitgZ%P@oRib8M|3^skn_fNGueSCx1@fl?QR2F-(92~b|s0v zSD8D_9ll%ZPAEu98XJ7i*QOXPB)^jr$t91T@%Ii^j zRcgh$r9+0AU=)II04D4DB*DOzuX)}GpCe-nON1@vV9-7pqWH}D(<_$7io z3`H23SD1B7?|g6#6z(9*L{Lw0fWzI#P4wIEmFji3FXZ zegtpVj3!5UYVjEcUl{c@jB9&xwWkPp-C#v7XqJ@kF=yr=p7&(3jdtkxrlg9iE?K6< zQq4KaBhKPn3!Ip#@&@_6wneue6{zu|rx^OBish*r9w-L&MBtfdwmz|_qc3xqsZnc} zShZgR(Hexu+-56LDe0gZ&Mu74tz%C%1DV0en0@`zCvwM6{H7jfJ{ zD`SI#?KZ=%YmK4uiHemM=M76I?lE{h8J{o67ugIe{KnSm=Y0FaMIe5dQjO)JG10uk z;3;zP5%cAuhJi|9tm=Nxb9>eTCgI~KyDW`Z7?)lRB?5B;d4UPhYvc-=vn(+&NC z3e7S!Jg22c>oJx1=Xfe`5&?O1vS&+&yphpm z${Axdt~E$WhtkBtC0?0MOb3gdqjWl{ZYV3Lv%9xf0hv}+GRVsiNZ*RWC=N;W$%?U6 zD%2pu^+^+Vwkc=FTsZs=G6k-qN)-W7^-9>;WNN0AO)6_j*;jd1^vh4`pp&21VV%gU z=<`&GmX9Wj2e~w_dve~*!-_I#Y1dROx2S864H9}cSDjKNtDi9{gdGHNI0<3wOHs{n zi9$gs*I*ZtonkwRm6cUskXf2m!^6$C*-8$M*?!X{cb=ocZT%*Yg1Q&E3@QawSbU z0f|FVtA;O3@w^R5UG?F2Mi1F~l{>~O?(zAnnj`AD;sg=bYjp~E^kNVOXi|@dpetDI zf9I!|;LPT$Ha)xI#c!gTmJ6I9U4FDz4!wwPUzFh_i@0cvVQu#&DmQ7oGopA5%TSG} z1liKXs(`hit?J#^`s{R4y+3?#`Fc*EYjPab2>HEbSx#7IvPQZ7&0CvtZX*1CSae5g zwW@T$0URFiZL_WkZ~V;AA0B&+xG_BlWcfI(NKfay4hPOC!-{OQwak%}Zjw)7T1uQc zi4W)bMz`_8+Abg<&}X&OJ_ivBBFtEPm53?UHt6iWU0~0k+aY2CoI+Phz@e$$dE~)0 zKzt4tERbyBekR&(G>fqEOStDgkLn&ho%l3%9x41evfXKD&81^zGQ9iY_$%p)T(VQJ z0Uv7<7l8OLG%?6{MxttR&(paJqsO@N@O`=v-9#rW%xRO6yb6QtjlHP4_Z=v2S=~BJc zKq)y%PeYD{PyMPC-_CpuDJ$zj<-mNsJzI&T@^-5fAEH1gC7e(OaZCT^^5W}5D-V^+ z?dKcGFcp&#z{!^WV%cF|9CsdEuM(XPqbitjl8IH8gpxrku@1edhRl1mrQN|SWC>Y- z*yVan#*x?110O#Wi(Z{Tmx7^EF5;XZVf%W2#%C^qp70S-5qc{}r#u?j1^Q-Pp+w0D zFt;WJ`Wo?*zwkz)Z1o0VNy)!fzN9q5Hl;X%Ps%eSUlv-4_ieDI9`51LyL)-=Tih zls3rPi<}`u4AMdNys#uU(m0XjZH~7h7zMUKh?$g^5aRph@(>+r72Q3KyfNA;)(za~ zr3+ei762CmXwP05a01))>n!;oJcOdAoE}JldN;)a=!b< zx%(ADs}FCc#ak-y>>bx*8Acp|<5C_rn_zu>s3#^oa-TC0xvdmM-Yq z7aGp@tCSZS7n=7oyhL>Xj zyht&f?QGD4`?0Uy8e2ov{`{Adh?kFe30|}op&v}39s)(bsR5xFY}R-d0Y(i^es4l* z9!%@&*`uG=I`5r)NU}>~we-EYJM{}x$Zy15UKz4-I7LIy<2;o3 z|6rNSP#nIRLdm4+-o8rYgNZ>G(qh`9mgpuRBr^3zQc8{Xk|yrmfoE!9`jS)7V=`z! z4VUJ6cTpmPjVmwL^U6rM$Uls6sw~1957XXN{Q7=(CgqUTJC;zTc8;rL(k3e!ZA#~g z;CsChI9}W?wM3+PkAs$ZW~kabNx7--?-p0yO}{iSOSXnGlJF=Tj>VsdmWk!*P^2>az`K!}1x zeN%${*3TFl0?E_{$?K+`Iw2q`-6W5tVLE#-;6`t^Z`UO0jD=w!91NwpmYpAn=D;BU_IT| zYB%rrveYc`BMtwmh{qkBZ07TOV#d^}GcP@EDCrL0eVyM8iu61gaRuTKF`oVoXz-`<=|NPtW} zfK8s6&Z5xK%;e&{#$IUmj{^XG=#{M{OPvlEM?Z|qjN}Sl%2&zsrtX(}aXOy*1l<#U zFmYFqKVW0Io%A&jCEC}*K3VsiR)lM&D=(|B`Ft=X6Xa)TRe`f{G!&si7riVAK_k-b z#VHj*Qj_#2WLqi&mP<$(nE)dZ{VF7PMB_&Kly$p*qZN;SiTZ$Ng*^R)wmN}@_CBp@ zeh8<5`f*@`XJ92bY#{itw@6(CEoFKT-(Y#C`e=g~Ivp0+~5wOBI?vGsM# z2nl;|EIPXj;hNq@Kc*4kz#35Zs#3*G3ay$({l)s5Hah@AcC?9^!u?I0C5YK&De@ZU zmAg$IxCH2(3O4*(kEI1#2@`GoJ23Peq7y|?S|ER?Dy@g`kb)Afu-nZw`|0yFk%n1$Oo`*;UNk3P<_)y00JFhsibg}&)_*~*vL<;?NY3I$L}K;f6! zw8hdd;vqXgz3XofU6M z?GZAV;Hq`d_Jyf^n(>O)EH@O>reUswyJef*^0DPAa}D-vip~h`*K+RNwpr45u|4FINNNSSGs_DcF3a}no0qw4v17Av!1J>ZLFkn0A2P)R#6bSv{@}*wtyG zwpYTIWVzIedN$_HZP*TjQ$=!J{(h#J&o$D34lPWSTo3M?J_G)x43I5@8eq2zPZ$h` zFD|CjkO{tcA;Hpm#KYjOOc629GX2@vk|0Y-N2IHoUFAu^70Od9{-UNFeoPt&7Et74 zh4ZLO4*Dhi2L1oc43LI!3m(}A0F>2(XbUa5l}nP3_4k6d{U()4=om62=V!O-sjjb& zzm)45`rY?wzNdZN1L_$`!1G=KjMNJ>ra{;}WqmmV;(`)K6K(B|vHdQTgGZxM-)Uuf z#{Os?gN|wPN5SHrZ23pCT%U)9rz9W_u2`Z1)hj_=>G2wxd)nlte@rgd70k1ANH*fA(?%a-{`zd<`y=~8Fs04!DWlfO`UMyJ`7K>XP)RI z4j&xAUL(Bv)%QXZxpr1s#)Fx6(!>kT?)(oNqr2ZMW&}a0@lId25mQK)K~pFO*0+ET z2wV*Fn!B1)IVY=Z1#Kf(zL5y^F`X9E8QyhGCez}7ScO!S8NH|EXl;4=nSi@wVr!{1 z{}{qPSF5pvWn*B`aJS#7EO4j)a6HIVJQ8`qbCq~=J@Lqj&I_7pVUynbkYiq_@X^Jv z3`GHH1ciV{(^G`=WUXBF@@B0uu7-d-JYw%trUfWFeC}rKtvBBgGqa(Y!9WwltLRUVVoFeab zv^XGfUB7`YsE5MVAMV%YcBA?pl(n9m!^%j#2WYf#=x1 zhvjo|3C?tJ*v^wdE%Mt$Dn#}rE?YY&*B`AZPOl$6k^zN0(=^-CIOY8K8m}@v?6hXz z`SOf>(&6gLu~XojvEDJ)egBg8v?ASxN6p~)M=Ln) zygMfXHG+%H@`(}6=e5OKz=j&{FzUgE$i9Q|UOBW8VF%YI%XTmX@Jh2lrd=fm*8h*t zl1B$b3`&*X&y1olD}|h907yWFT#p-WJq=QZ_a0{XK|oo|2oML>as7;IC;C*NV@`%3 z!gD^mbesYNo+vUfhdIgOc)Z^0Ek%L8Zn{9yzivdm<1 zC`-(c!C|%SCkY_=!$-JH8hlQ%!akyXQ?+&>1_XD`Q)XU!a8+P|QLvu9zDm zFqkdq-h`l0U_bdN@K;*#sXLAE(j2t*DGi?KywOQ5sn-|jFv^Xd>#$X~TC;RK8K z`}(d@3KYWdlaV6n*A>ZlPH-pGeZ9@a{lDbqM9s0v_S2E=(D+?Y@OBO zraf~s#knfz&}?fmY&jUxv`70|$>91myIzy@#?Mn0jl7d;9a3GS;|5wM*EP#L&nWtp zMr8wSX4w(Fm&J~*HH-tA-El)9SgD*;J4Ym_ZF;q#KU6Gf)0;3B~uPlq1R>9fp&Lnu+@eu_JpZm zlv_aa8B48+~;l@q=ciNa5J!o*WHi{TMd&sd{)zuKJJ zKx&*P!mVBz%R}$dEXTx!+g?x^e4V1W*X?nXTTlqPdhJ}{@OlMC(eB=pK`E6udFeby zSJdCK+9K;m*&3G&(U_8v!F9sbT^^7vdlZs9{9PAS#1Kdif~cf}-Zy8Og^C(+)A*KP zs#9ZC$d3n_`QY0Z9hSNdk366jYecgbbZ_d%8^rpQo^3FbBtbGYje+2z201=;n8c`B%0fz0CkT);#C!{Stsn zg!b=MJFc&mZ%;Gm6%;b`+a&~mCfo>zkiQd+$pKY^u$Wp$^mF&&$Y(z#-A>4eDzwXH zJ1*2y>MTdSaQu7Y4@M?5;nDQ>zE+vO>W@6GRT#+#^%q@*Czt?h>-4GdDsAWY|Da!6 zes_Y;uCl-5mGtxBEg7!isngA1+=o#5W%fu(hM-CC9G&_^zau_bAq?K4q`J!{6;VB< zd5j)BIc3Z~N+)gwYazaqxP4y{z`*Vgw|c)A+A>$$SAI=0)RoZHEmJe;aMz8Z@fx)g zz*pd$_l*nXZHN4HdAuS24*Z=lLleWC0eH^QyDK0Bb?!>=Tz)iSq<2-HCDN;;u^EDg z^*-q;val9BAu9@)_B=G*wpZL9h|8T=x!I#d+p;GcG$}8Fta(=Hk@FpgJJ=ah7ke>DY57iHEtR(Dc9# z__q*!@|hJ;ze{U?q6&r7+(Fol!CQvC>SJNatHW}j(DC}rFROGzBmJ7LiA{3x>rPzDbI=j+04|Ul5*)@38!kOa>WnCsZT)NB3!#(woCyo zOnac+{>mElHB6$aAhSsY@p6CJd)vja!2_0{z8%V-cuV*4npYYsc0lB%04dp6WAp5* zU>kIUEiKYZ%)E+ZhX_KX9U_5^;S7H@YJmo=OntnI33<3Y|I48w1Dd``N$#?Dv}Y|j zMkIF~7*QY+P{e*CJ_8d1g$QS9lfE(A(FW|-5M&+zRdH&Duq{CqWWk?JMNPPjjCS%i z3F>eN4MmnENDp~XA(e_F46ohPwZl!Pe+Y!NJ#i_?b zt!w@0y!D*^Da+CQwyp3`Uj;6`qmsO#+~!YN8u1D&;CJr7B@er#%R;2(f0Y=7nYO@W zV)PR5oDms_8|Z8ZaZ%C1DD56jNu`RiI~+bYwX$=o2qFK;xeN;6-%+aLs-31_ia?Qpi%agUTdQsEvNI14d*b!WU^;Xl)TR1H~ z+6?VD1t*W2lD;Y5k}u*OZshmx(augdrY_9?UDi8XokngnrFHR|4Nc+1nU6b}2l zj{kjM8Yly4O*vPu);VF8pY=v}o8}$c7Je<;qm-ZG!aK8P2)Xvw0^=|Fj}O?I8=iY_ z)S^_TF6M;r*?McNpUB!BqTrLDkef*fKfjaErFa^MmE|!TfISgQ&)2I@=MHK_=7qozf#{b?_(> z_sBg_^L>Yo-Ymve_B2Xx(&anu;Z2NVE_8G)4>vJfIwWg-7Uk$~Gy*?p3kh>9cvm_z zQr}qw#O{)3?Ks=IBq~w+-sKL8=1zP~q0-4P9&g%h@an?I6=$2_>)RPv-S#!LA)x?_ ztHi{QF*%gKD%&oJ^AA`Ot;|JoA*kcgF9DPo0~S76Sgm--xYzxFu2?P#B^=U`fgahC z!vWv<`*e6wh5Or%CNqr#HS>zPEP1qSX1V zCx{`DKG5|+@k6^Aei}}cq+)c7JThy){P35dmm%vAhWaAh3?Cy=R`5j=d_|fm>H1+s zO;fUYQ9Q#z*P*T}aEc}iQkjRr5V#}i)V(HfPQ;(jrUR`gMoQ4B2tVzVLEgIS$y(4%dj7@!NEJ1hS5io0lDNUl1s7Dld<%$X~xq4h% zGAxReJ6?Q$YbzwH{*y+(R<^ryv?oivDaK=jM7%uq8;C`WpuM_}5^fW2i>I~tgjl=G z$wT;i0CS~ZT22_!&yJ`=L)2$-ivP6vU0olfkZ;!roSc|0s@n0JCQ2WV7vWS<20h1) zbDT;pn;Tt)ezGfya>MC^fM7(EIz!Or1f8eXy?zig-f%oY{~gFe)er-1wD-9ncnWV2 zt|G8wWHX?jCMjgNkZQE3O~r^O0Uw6s6o79f@xAC*IJK>-2^D0!X_PvZbUQ zVFdm~#?ySx#HX0&NqlFg{Dz7&TZ42bZx@Ip9N0pJ4ND%Rj#6OwDM>!pO}0kPwpAkvw|G8CbB&2#I5<9@Y-puE#ABZEio$(vD=#w zRK1*VIyD+`by$l#>`FTE_z*~{CFzoD;bB-y6=D5yqU$oY=*zidzR^73Reo!k4D_Ozu!*LW zI?It!M{Zp}7*<4rRx!tHXuKB&B$;HG2%wV}$F8mBl{?+;9!5+IgACs1J-l(Rnk3C@7dTDS zBDQU(Rms60?3&%~lFQF~t5JEb5wdP&*j1_aEur^}Q6pBY; zIay+#N7RDk8~IsV&fpMGqh|JyONui$CMaH(W%^nlDC(UnL!E#GQ1-P9qj!-E?+@VX zhwMpz;?3JTSn{EpodOYqbMRaxf2HJgZx6g}M30g=<&hNLj0TE}Pm1@UJ?y3jr?bFvBcDHp~|58y1p#jin1bngDT_v1li2BrCIfH zUU(%4XI<0zvz@(er_pHCbOVt@|E^scns!@J1MRv1*RyU+#s%n#ck&UZdx2h&YtXq} zd_||3Y^%MbmeZzhOl#xHTwP7S5&We&OG#2Fo>#c?u_Z2~H zeolW1QJ09*c?(LpZ4@H*KY(Q}v0t5X0b!f);zn)Hg~22SG!1gLCS38GCuSJ(A)02-36_+2d5}8#g5=ManGw+!V|0{ z@OEmd3Y_%0doODz{KDtevI5rx;FNrp2I(z_0DPOjOOndOz1PObzGXUrJ)P)_Z2i1R)=Gv^U26&8MtH!<+d&WG3Mlbdnw#|b_OgU3tgu-+O#EL0FqM4m7N zw5$%BDdhcFV9M-amsEjkY!$uSr`0x;AgC`~f@x!l**;y2v;3t!roYOrAX0@F%l>-8 zrPJh5?pr{Zy!GIO!myidO&4(a(lqt;x^GE(6t{I)y6S$r#^*D2<`oug_%z`EGd-Oa zL>V4eu*mV@tVn+jDJJf~w)Z~jRJ>)fUQK5>5AclRw0`-XjKw+UQFZx!@4QF2CHk}@ zPh{|;nP`6U_J`(3!j#MR8R$w1&RY0*M3{OKMx!o3g%)2g6lyAax9Vdc z15xdEpANc4>WBNJn#KUG0kKfewpX3i$ET93u&qPxNzGt4=>{TR(9WaR#=+~8TDz4} z*{1JgLnkwn+Dy>!rQr>IechLaOA*en($6R53;XY|Ry689-Q~qr+$;if9^MlMuHD%$ zsEb_>qso6~x6xpofsh&jgw%s3-@rtdLXN>_$9Obp8OqD(6daaB>sYdJXS5A&1k8IUh(b^;F(uYhk z^T4zalEQxo)FmCn9upwR@Qe4sqUe0|Qma5$fr)<^#{*mwQ9Loc>}FWzgWX;YGdi)T zZaZbtD`lj-F^&l``j=z`3_t?a_LBSlWsm#B z8%@)gy_Lm;6S5u?Sf;UrD~x#+t=y-}!Ai->2G5GiEJ2MVd7Wy>ShrvD2c|R0eqL)* zFOUyCrP-Sv;ag#~f*+nSTq7(2ht*liuw1~nIs?~oF3k?P>=BN;q8OdrTU z-o*D{X1Zf-wYGw8sYbrB$YPuG8E|JDZAj;aud^{*jZ6L@%vKo+eKAE#R+~HKBs`G( zBqVLpIQS+7&jk29hXsXLUG9Yc^yDQAD6Q*fq3eMJoO{U<)jQ6iZH=8`IDHR-h<2q( zOiRxL=o$W~oTSo4UUbBNtHtsA@F{2Bf$F-}xGDHrE?uUzduKiSfz1Csup(YK8UNn) zVz07@fbmnzkizuo8_}5fDvPN}Q2W{r*G$yep?W%s)8QcC4j#TCy!Dox*ivtoKcMDw zQ8us8s&LuM3>24q69`+Uo%Hz~cO`aL4z2@@JfHY@*2NcXh_S1iV4>YYa<&>ysqsug z5dr+w*;3j5`PJ@|Le~AV!qx}ByL#T|Gf3Fym7>fL8ZN8k-x-n8fLr_s2@dGz+Wi)V zGW;SLp58HfHx98Wj}w6`-$^9KU(bR&=~I&4e6RRUBOY6stJdK%d2(PoJ33a;L45#r zN*YUiRHAjNI-7>8#s7e>YG1KLG%ImsQu;h|_0Z!$kz1$O5gKyya>$Fh!NzRyNaH-H zp2jwmB0s7#pBzDlwgr(Udn4eN-ELQ)+u}Xg5CK^2ZFNH60_1?x7sG77=znH4;^m1X zwvnqaIZPNA>yy4cYT|><6M8451msK5a0X-b(+1ye9)H00c@f0U7a4t2PE=>AeI@fb ztsfDKCr_mXHL2-z$wh!Udm9@p{CSWGDj<X3t1(^t%YNymY#V9sWjfKU39 zxb3y;f!(yTHuEu@OkH&ZcyKmVsCVJ zoA|=I6t=w{V@xz*iYhtzZuYkXoK0)R-E3UWN!JSiw__TONN<&f>f)c!`Yu#+3LN~Aw?QP!AYNt& z_?5j_(!;s^@QLzbp{UYeSArj|eqVM8&u6(btA??)C}HjYUmMbgBnGKmZ@|b~e~Y z*U`lNoJ0bn+dg%G2<2_y!PUNJWYgV)YWv%2Uy*rK#x8eW>L1g373btlkrW-Azy-cra>vGL3NJV#A5d3KFq@My2!{0XvlQcZ${# zV2T)SNS9~7sO`c?QH&Uh2QZY(p>O#9U5g3`TT|6<3tWD^@qk_m`HD09Mq-7o^ZRv+ zwHoEH2`r4@98{+12<{Ci>!DRq*E$HB+ihKVU;+P5>3z`>G5tAGzSs}w!4i{fuitE6 zP-z$H{2FKC!Vm}1=JDtZ*B68XmfhhH8G9YZMg~|b5Q)7rh8i|}n6O9(f}tYhgZ!&8 zwr+4|?W@$#HLlh4+Nk_e0hM;HO}&(#PWw(xR@ll28A+A1+>}Oq{LPp^4w_y7@3San z{ECha4r|il8`KnlO2kCCr;bHNooR{x8)Uy}=7;eDA?^KQ zPW$&Dp9y{nG#FLAyI?Lrrr0s_;id!SU`da=G$2|b+84!dV82Yd)F2Gd!UG;3nb7wwaH zZB@JG?ucLQS(oDa_tA_cSZz!X_|Ew-0x8Lt>k;KgUrmD?hL_x26tSa#uvO~7L7pwN zSVl!sqttSX8P{_!1=iLbC4184%0(=5%Uo5Zq%0O*j-%)@hwtsog=0cXp#Z;mfGGcu zVyhJd6-4a39@vM6 z0Tlq%(gh*Qk0Ko1-M^~`Hj6?%z?=1gy&|sK=d~sl%fd~#w7Y%Ycc4VZ0L;`AgOXp2 z++RIcdNxcm-QpEzy=@=Z{=P{cX!{M;sC+#Akq7u~4>!3>Gk`duDkIX7; z{pgen1)CONiyNy*f%#lM&nEjdZ3-=V6RW@5vDc=3zMNehFfi|=v`!3YR^|&O=8X^I z9A%38A?#64LpAkTngf)gZpMU2ph&FHS;%XZ44%XPA^MQMe2r_h!fDW|^3y{+M-;CN z*~=NWnWzhdqE%;>Iig!D+e(AG#>un?&w;R$$WoUx*OwDaqUR!$?gxELYE6_0S%ug}wR{sl*iGCM;Gs~%d1+}~_I+yy_-0aY9>QnwYk4(Ia} zFN{#O-)9VjF>EUAEPO8=T^Rmyy1HE(P4Z{RiS>CS=s`6Zyp*T+@jQrFAy8$1DKBXz z_hkeeakN-%PKbDk=Y_`t4SvT62g2k|K5g-_wCh?q;QvtCe)bsJyWp~XEsceE1N7-w zH*)}ihZZ#I32tdQ_FWQqplBs&fCM@lR0qf9L%U-?025`VyX%1se1c6YFW&sAKi|X+ zb?}h>4?^*6!dLk+A39-*VN4SADZ_1Uy}2g^=tmsEAu921RlvK08rPiFhje-3=q z2*c3{nw3fIjtE~f{XJX{Wuu&3l;iFK9`m(3^b zOtr=Y;#m0~#{iZ<0+DSqAihXB;!{OamO2kYRz| zLuCJTFlr^56ZbohBE)NcJ4IiBxEK1X4%2rx%ioFD#t&6fEnWkb6V*BO0hoMeS_YaXss&UCxx^I}C`V(drWbp` zf$ZVviOpj4U2G%ep_R!2v4ou&*CB1KHo0rTIvP1>9%jEJ&Z9aXw0Fu3im@#(K|WXP zCrax(RpT3O`;*|Hs^?X&Mq<$8MO2^fMy+{@UU^m-m*ZF~e|2W!8m|Q8} zrXhZ_X90NrSwm%_ev`6Kfy!yGYMe+KdY{5$t>jIeLB7fwwJ1|D`TNiLxFGc#rP5vg zrBaJ>9rTu6c{TBmKLhd?+ZS9v@zI&zdz(5PDod(d?u zGa9>VfkwxYv7-?48;70)J|RwYBkl*;BeL|82m<(8M@ZNDx?D8>MB_9K0s}TOMmxOE zQBW;DDJ~T@b=SBQXS^|B>MHt(JXSSi$#Na8RpSIQ1Y z#R3UmYDqrRPAV22VEJJ}7l@B4572^jPCl?xm~!TL@g{z99}~lH zA(N2!n7+LoIyM}KY38Wd&ABNNdQYPHt zvZx1qzT(64pnin+A*AD~NbWD^i#;`t&aZ{{g0)^en6=Vx_aq)>T|QMCaDWOPY45Rn z7lb!~b@>b+RJH1@)4j{?Rb1~APjV}gd0b8+H^smJIvJK2H5PwG)fsao`j|!Wg$@ch z>8CzJ@A`S2J&kA2Kry_#PuDp?rmt#JOxjhuR1Zg2@lRsMUeCa{UPxB+0Cwm;tOu|| zNx$pdQ;9v#CgSwiTgXC3 z>6jV6+kCT>{?nV;fWeZ=V2v07CcyGHuKe!_v4l(&z%ph9c#DV?q^a0sVQ*ZQA+1vF zZYYG?z|iu%9e~M*+mxHRVH>*LeF3<71bU0VEombOY;8)Aq1M_oZyh8DCKny=YF+-d z@8Ef%+Fo_TEesi>`pqSHk8T>|7f`149WE){zGpYdPEu22 zf| ziV#_MIYv$)fdrlApK=z)3i7__;h}^v|4_*=z68JOw$h>&Ph&-n_F|4E)z+$|2w2|C-h>f&149`W_&e~fX zaaUg9rp3~R*5s$|4m3dQh)dZf-RxNp{%Q>s&dg&~Cj67vWtiangPH9frPXSkhveN> zA^-kmfqm=PZ=nD1yAyjUJ~4$d{XWOTpI~d=Zt7o*)xcGVd?oII4{RgiCiq(Lg!y@$ z&xSSENj7gNQY9Dt<3|>Kw2%qu9J(|>{Yowz1AG_^G~$j9vOkNFMC+7Aig*3rR6jj+k4@Cp7* zB*-vjwCMUnWb-9f24hsgf_=?t`jn>+-z0Kig;tG{V$R5vshRcr?4H+63=pXShNmw9 z_aZRQW>#REstH%sG(B(Ro>WW2&{ok!;;GrV($dGrIIB#Z+2Qq^Adc{v51eQYV*>eZ zuu36y%+|WzgbRoo&O&K^Wm2&A;6PG)^_Aj;$ZqZhrS5LlZa7c$>vuP$Pc*A32C(`h z&*1gWH~`*kRr*dSJI=&Lao0|JSpvhuJ*I{D^mDL9NoEF@AO8t^XMS7e`eP=Yhx-~P#3m4jK)N5 zQpiIIR%$Kvv_9;nI4GAZIs~QEu=9mmc^)W{6;Di!|BMqhQ@V=_waS0Y^HaA*f(ozG zX%%xQa6S5vj<&U-s*#Q@><<6<{zKt;KWCg%NEXe2Jtl2gSi*HC;U7_Q=tlqm9qD<@ zSQ5G0L;BAScs4T;~1TiWStx@l(6TgwcP@vih84PJB4b+u+tQM zgtiZF+~n;Dp?K4m`Aq8`099SuEs0}T^hCLTUvh9ip<<^)n3JBzUxE%o8`sYrOfzb6{X_FEUWOlz)=0wvxrT0>#x=P49SCV(F5Tc$Nn5`iVJl-d^-PY;Js+ z{7FN1^1K&TxOsg5n8y_emG!Cg5uXVBE-FIJ;-xDxk^Luk`xU&k2=VyjY3od`_(?`I zE7=K3?4$1&S@RXAr1=-;Dt#zRmo;ws5-eUE@G`_xsw8l^i&^+QOmT7{3(~U?X%a#G zHfJS$RgdTw%!0o}Ls;a=yh2vX^al`Yf^U_L=ZjgUeT-5<wbUyQY-0p$T=Wpi zZ_IVp3Legv<|-DTB;h%?WK zB9&?QJv1{S(OIhKp>Ys4TROksLmhMo4;##sqc36*=-r0z&7K_GRQFXrByOA@1YtE` z0+x_Ozl=*o;cmE%)iV>06&i!iP5;=NxP+%PLX{leXZ}j;m1jtGVS!$Tkq~&AHDB|m zV~P=ji%1An56PBEEha#M5wTObQ_awq`FVU}y{gqwavr|cA{ml@=+h^YOgWa3{Oo=V zVs<)q+%#V+zXCYuQsEl$4i+AQ(&z&Z{_%+iOgu7w4X>`S(OFcOO{x-@boqrn&?a@& z`!a*Z_k%0;`n!(mEmxFTY)PO!} z6@M{G?BJOqCzHu6E1vap!v_U7K9bEOW7vq`eUeO7yYGEE?3TM-&9+^Ni+(JF#yxkG z4qK0$&t!I&#nZ~iBeHmN#py$A(_+^IJS5wn&y*zq+Qk-Fbq)kYaCL66H&v|iGwS?x z#<<_NcROtHfZitphzxseVYf zhU~i9{e2#n__PJ>kF-vWAw{a?rCT@4DNdv}0f05upK}zS>|g$_+w?A}?PWB2=U2wB zP5cG+CN=2Wa8mG7fQb}ss?Sp8<4ElWI2Lg^PF2d>$cHmBhJ5N}@kJ1+D%>+MtWI1) zhEvBX%(m|_%0pR!IegsWml*l@94yBp#6RNzFO*QhC-D$+{;H^*~ARQWKd zyRiQKY|U|c{r%ZMkwbhgw(KKKhF=>Wi*J@+8-d5ctp0e8(OzmPpxHXU^azh@j*+5k z!9#zxvcVp*c9P1<&OtRn5|obVYaLUPqbezhDZwiCTJ9<&b-36DajHI(u}T4O_H~;- z*Y1pe?bIi$Tz&Mv5bD66p zefx9JJ6b^bi#~k^+F=$SIRRv!GJ~Zj(WWoJNy{Eb6~R$hb+`F~(8TiRb;?JHzi%U1 zgZB5nVvdH*k$mN`e{N=$IV&Dpgu%G`4x#l56)pag%oske?k?d~AS$F;<_?Pl zc|IG*5#BW$nuN>spvb!K?ibz%%st;CPbNUs8x*=Js{(IaP6)M&ygZ&{hbsaQ%0MbY zoX<^e$;wtw4)#;~I+)n?XQ8KIK`xvKrhW6fczp|DH7!o3rX zC222)za7JTZsss^tsS&IadhikcgiNKt*vcc#dmAYOx+!9>v1xLMH74l_448G4%_kI z+Z+k8Y~dvDo|z`O(R1)I{6d}OtCCwD!gD`{98Je&Fg#O%t|yf^l2;3H`6SrMsv2Uz z;e6F*;oB<6uYF&?3EAp***BEss}27lRG;RrNWqQC$S3xOqR^X3W5>5~;Jva;!l7qW z+{rfY4&Adl#aQY-Zk|+UN@yC`tQ~JdV*-omPsfukzh3neK1T=c3Ad9b=IKFKbj3!A zO7-Vxq{Ez2apyJgtN^>tDh3MQABM4@TS^EG`51CUxd9;d4NUx0-z*X^$G*pS{%ktx%7VVexm}F zVt(KQ#LbIQX+jkG^l53=yY`L3)({Q?t}B!(9GJSqq}H}FfQ=W)|~M!R%G<(B;7UA^HiI@c1O*D^S*RH_@CKbo(yN#Jz@Yrgs! zL-Ucw>>-*_due#z)9#`t#K7!#qrq$Q+t*HYd-XG{vp*5+|D^xv-50%t?D1S=?a>rm z`Pm>KcUv7bcL%q`)2nyj6>gd}dZNVS!N>~O>1MlHr6KKn z#_XoYGVUnMR1HwLy~9LJ(erx>G9a%+8{mY>&)m&QJA zy1Bto>QAyi-hG3u?~IlFuNYY>^2c^af0iD_>QF_Mq7JuEK@h?p^`WhpV)YhXLo6E- zuHO&57M=G)sGS-QHRDqHP9uo7E;<~K_S@=VT|pJ<6yA<;4{#6M$d5#8QeXYi6=Ye3 z|9g!?!78g5wn}XjmrAfA6sLIO7JFcwWhRYX&Zf_Kq2i+vc#jLAjp{knrCKH5G;Kn| zka);-JC`dIIQ9mGEt-t!Xe1u3*uVC?oLI`4oqaDX|Hjd|io%cZ!bNwbZdbdI#Na4=8c6Ff2jL9>5tia7O|nLsqenOLt7|ECo#cmjHl;ZWmq`KR#<8o zzC}y){+@Z7ztt>AO8v1t9-SQ@#@`g_)2DbFqkD;ezVAP~`(=w0i3)0b@oxB>I_RK0 zfGqEP?xSWtkPEHAX1db`P9C^1um8ED%T+C0An427iP0`W7&8m3XTg$}YaW2nc0>QQ zzW-~H|F4e@1pI9s1?Qmuk6(e$Z+ZnoO8xZO!SjFp=l}W7wQS&*p0p-0|9da}&maA> zzy5Qf|JN@y7i_o+9}O=j))tVGnGdm$*&8}0#_6dtF7fH`b4qIaMAc&8~YfCscLFIE&5c2nU3++5H;(WK@FMC6g;Qh;RBZsc?e9f<-JH5odhwazu=?;$A76&0^qsw2~fG5h)|3n&TcPT+yn( za7_maB*`V%<~q^T;+=cT;!@W3Az_>3=oczznUMY$-?gR4+eCOAriHR*Da zqBqX``I!%bYI+DYP=qx03#-|2yGEanR=kW()x7G}VKOsrMi24d=Xpz6<=R7WcQ+fA zXN31OS1t4O0LghU>tGGDJoynFZxX|&9gfXFMjnBMI-*IZRrW3MlR+?IP^kPFIC2l+ zDw;s!j#QjORLw2yt882(hWpHTP==h2MR^erV7-CZCV{E_hceb0Ap5%eIY*(aF(FV3# zqOTVx*WYE~pYxUC&ErwJ*`(WEkzo>JOruMuE<=S{tR;0U+#IDky>fY3{CUohJ z90|)-1Ku30FCA8r*p4TactU9%X!BqeNK{|6bNd#eFm*n28}hp*bjKjE;CfN-#8%Z(H9211dmuHX!3AuRGulu z&PT#)?$$O<3v=<%KDp2on6)a_@oWLsyp8jj!Z?& zVmbd3idzfgedsQAT&wI1Wb_z;f<}(q`pS_iBl=Htt7+-#e14*>6?mkvN~!J%lAB1a zd-L=_Yt^4)@^U}@r`{E*GVo@^gjkH&nH^qdDsd4sfEO~C84?bq6p4yqNI!JH*$OBu zT9>2d63J0+o>anV0b)u~OJtem{bO2DkL_x+M8~bGhbkY|yaw>7jvyN7s4`BAEuCbq9Nr+o*W zXD?YE)ZbtvXpT6N)j0lV{bT#ZZ^7XbSn2n3`A+TMwS$k zKoB!la^$D__P>hfnT=y^nx*yh7E^-TwY1r6(KKc$RZDR-yxv=Ugc7zg%f5-H{hN7f zGQUy?^4@}oXAdX+W1(gZ7G zi(G@-O`?r_wW9AR)`XqPx=Pp%Yo_ZzIyu`NUeP_TTUhfYaVg}ep5=AuUkadRufD{E zU66H07FuROV%JGK1cN)v{|i?_J0 zH4nFKo=id?ZihV&*=d}Tzpk#=WqG-jU{yJ_&dl7Ks*R;~N)q}$sd?;dyT!Y}-^&Ra zZtmDR9ADl1@-yxIKD&MIAJcTAQQv)5u{i%tun1^(bKmp+TlSUY^8Zk=x8^P%jJTD; zW8XCC(3*nsp7}7SWI|>Scqbaz%x%Hc#D6*YleK5F#|2?ZRAris$SeONsxJXync%vT z^NvFOk?52Wwmxdbo1hYh6C?W$t3y{Sr>j?Z0%qo_fo=T+w7|t9N)*(^E`~ja%X_lp zW>+AZzh$!+t`_tu!M?XzHK-Du4)Al1AkO28yXW_A2h^3akK@H*_-;o`HQqC#R|(5QjDo)2G%{_lh)ony4D9lfj45+q>s@v|!RN0&$eIo!&2$Xn5Al{hEZ=rP;3 zddKGhD68q67RiMO(cUr-(VAVl7^=Q#S%l$LUm#_#_L+lFZu(QYmH?Em-GzU_!qy~<+G~8!2{9a>bEN= z3n5YPbFlEy)+)KEe{(O987vLHfi&XQFf9c2A+^rQF}$?hY*C*2yTGP7JH;{dJ}0q1 zh8U90jZBh%T=}A#bR*BlxT{WkgpA!I1)L$4o2!I23RnU-|1y%C+F>vum$>WkJf$^< z4Ks}QbNCodrQVO4L~1SFw6y&8V;xGr*HvTeV<&;k1tX>bwmarb)+L-3Uyh6qc|h7rGLdq^s*2 z5^DOt_kglU&aqbEV4_ww*|F*6?~L*-PFU>=r0Fx%q=IMB+4ML>(_hL@ea%Ez+vaD+&T#X)-% zYep)Aam-Rzf&a--X-@y5Lz~2cjf=dDfwr?qr?#X_yM4?P;cavlncGdvPz!yb+QH|5 zYKo)DEj*|4l#VZhLq+$*K9xzRJ6VUbE0shsqx$O-^Gg!sUecf_HN%}%ULJhO`K0MmAL^E z+I;jZmrU33Zv}DbAk=WvEe9@aXkWxK{l*C=H<7Fi%X93J_$MGMtIK_GUjfPV3~m3w zysprGv~GBhORZe=l{9!Iwqq}Y1%{Rw|HJlI6i_ESee4I)m1z+XiFT?Vay4gfUSGyi zP|l9UE6dZ;8S6!cI2`e9AlP&7c*N8%%J#gzdo^i4_opI|q`p)mem8U#yPgpXzLyk;3B1~MV*eB>Xanz{GSQPq zYMyRJm6i`t@-N5KBM%b8ZHTKDN6ZU|zJ3*e7O1@8|CA>&HSX{jB0!(r!7rVm?n3Tp zo-~vcyxC;xU zj*}nS0m0HPPEjk7+D}G;AnEiqc=NDdUfPNya;f$t{>m0UZ15f`;4V9U7U|( zaS9J5F`#>XFWP-Ce0Wsx_~T$%ol}g>wWw(+$mhL)+0UMt3?06`uruc4AB>YIpR5)n z@(e7pv<(Oe=48&Bw>Yh5swynwFUQpy73AGjDEOGDj(MHoq&N~ReIR3eRxWW0?`L_0 zehYY8nAS5^x|of~fZG_$)7cW8(m1XQ6u6~qfsR%g^0J_` zMLA|`5gMnAu9e3(lRl%KwO7YC0!eTb>g}jDmdvZKDW?jYybV>y-#JksPk{1U(k13dp{h9TcXlUmqSLG-F{(c0am^mhv9~* zKhyb(X@^v$D3N~oL1vmP6nqY**`rQ{ zZh_v6u5U@|qcoVsn+Y71l|yO9&}O}>^UbvB7O}*z1bRAm9LuF*3q!^A`P@e7 zB*cENRi?axG0QAAdn3)`NUjSXJlqNY$T$T`cB6j$w28 zPj|Q{2_O9cn?n+<(c;*$f3{ln7>lD<&1)Nyn9csf?2#M|AcLclr8iu;O(`|!Pw%5_ z4WZh~Hf3u!Q22v!^gP~cIjegQ)7qo!&8JMuWJ9td4>4G^ZdgR_2c^urR%PxW;6SBO z`3k*d75AS-1ej&xP`^I99M7x|;huqdc`Zf^hf`sieP$O@Trp=2kCMS;`z za*TcGaA~z!sL}iBd)aKsY~Gl6M_h3rAlu=6!PRJ9v51(OgdVruUw=qiy5ac<5(qW@ zO?hFqp;HS}O5b+ky`1?LuDdUhMt`bhcuVPK5bA=(EI3u~abppjo@8N-Z?CD%lcVgp z!ZJC1v>kUNS*Dm}3*wezHEONM&wZdgJ=hG)w*g-MoU4BCL06+%smfnNQ(Vc|VWp@Y z@2a<*N8D9olFEFDIXmoWDEQU^391l0J>ZbAU4O$bZ#k`vB9nza3RSy|+}nZ@zGoN} zav-CQK=5wD#D{d&)(1X6~%E5F+T|$?7yj!F;l*lgGS$FcF0CB-(GrSY-RW1q*eIGSpFSRV+`vyj zi5KQc1r_={1UvJ#HmhLHdbZzTYdH&w+s_eX^0;mN{9buOaI3<7-KN9JDA~3>8>O=a zGy?-c60fBPjm64Zt$CkS4zqD@CzIZ{U~G%AysDjgu>12!JqGRf@j-&MFkEF~wWs>E zSO6r;-m!#pw0qU`^-a8o2!}gr@p%!97@!jFc`Vv}n>{6tROhAOu6j?`!YwSaSfGqs z*Ev#xqUZ3l^gC;>CQt1-iC;(CFO}^cSDUYn? z_&^@5{b#juTrC23TQ36_#p>Cd{_^8`=1PRY>kO&7tT?md5IH;#&gi5tpqn)%;SUx6 zch1N6ua%wDU;OCg$*xgnpSeznh4)ifqN|mWLnHjGVKH_ zztj2IJYvJPWFA67dT_eWq>l3!5zKP0X6#WPrE+5~yqQj~DI*s}tNo$r^XoU+_boL- zPA|3jNDvb(R#R@tdT2m1be=p(FwG@oxBCOQI%~qGQI`@Y)9a^8x{6sPLni(kapy1A zGeHuWuA}T%;3y9&G+*jCq{*PgxPr&|QIgX5Ywe3d(d60D@NfJY2Jf^o*DGDRR0Kps zu}AxI#hhH*9+#>HMjbl!EqxnW$mL^>PA^}(n64cD$k$&yB;kOIuYTKlbzkIJK9Ir@ zQ~&ga<@<(ehbITOYNm=#=YiYt{H}&Z#pB+qV+|P%xb7ybPcVA@DGUr|GD)#%YBWtJ z{o>ECxVUGa_^f}YzM8LHubo7CtrYWvv~tny&ks%Y&q0SAukD=4FK{o98FCO(Bd{3u zZuvGl8o#4))S94%FD*hoHy;HgSGO4RKyyh8+QT1=`sz&Jzaj;9NQLk{Dy!C98bZ*` zUF$2_A__T|r)KfS^?`c>m-7)&LU+q+=iAB5-!4;LHlxz)Ys?~n;@CCbp0)*S@BMI+ zIqMG2cdzbN9$qT?qZWDZrEI^D#Gu3)8$o=@skMD4^1~o0kfJxWyqAZ{_>iDQ#a|}6zZMgY`5{2+e9Bq3M?>8y9igIdU0RxWDB*7O?SI&6J|b- zIn&hOFgby4-d>O~W;5}Mhbu|{fNH=9;Xk5!PeM6!GxUeCo!(^iJ9>k`7E*h0SB_*p zVkJ6S0>r3uuPa{#A&9#~P0h~hl&gBV*L!>Ut?B9$40ArXp5kFdNq#wKdJ%Zt42+!P zNr9}pQ!+2tnH;0sp9M?Jw9i<>ug4q!MW)YHP=_(`z8x z{}Foi_Cfa#8Xw&GZqg)0XV{-L)x6!|Y<-H}K8rSSm?d z@zVhT@?74L;GgU#$c|GrDjl&K|G{~Wkgb&7*)P-IJ1Y$HMBUj??D_lrLqF>Nbit2| ziKY&n3upUu)+>?b{StY{kqK{`w|!HlzYQ3kImyu21LdyQ@thI@Q4`@O(KT3GO=`I{8Y=n8KwV(XXJNF*Pl^ zC8q^`c^HbOCjp&5P{2x>``xP%g({dK9|WoyTz(dey0ap4P_Raz6mtc&9%I zGHJRp8{Wmfe+F5t8iCr#0Lc*N|KaMb(lEzN?IE4g&1fON+KOV=|aEo=1g&-;?Sd5vp5!}z(@R;T}7+YwH8K*wimEGBxziGD`N~qD-GNftgbPzgH3%0KQ z?r+PRdc&)qa=FrGs!4#XxUf}8Xtm?6o5yT~tK%*ARN=ddA%cI#MrkH$oKiEC7(M2r z(pW+H&ZEThkSfHp4Fhtq-xKXqFZ&L4>)b&f_3l3P`+=^@7tRq9mu-Usj)^`}@9(eg zh+}UkWy^u+>`bE&C((4Zhn7=LQ!$JOP-f zF-r|y>?DD``70LH0QOsQL|c)}zv|hVCsHjyOjev=JNo-V1yd8nul(1Om#bW3AlZgc z8XZ%gqR_Z{S5PPDG5O4Mt@|@(gg3qmjAEahUkLKcsoF&qSY3ib`qs?{n{XpTR42ZD zW_X2RrxSH*-=EYml3n(!T&ak&zL0#Jg-GvYK@3>Qx9Rs^nq@s*~K*{1hkw`PqJ#&|?r?Z*L_$TpfcF;|^_^vFYlwi(BPF2}^C|S&XQl5Qw^}j&QB7osZ!gwcso<9!X4(@&$KoeEEn@<^nic5t+39r8Xt>p$7?T@d zRGF{&H7n@$i-;$yt3RCwT*TY*7=6uVU7fZ!Cp?><9Ifp~g1vGBy8(_WD}b~9WQX(t z_5iu-KPU&R1I+sEkXPA&s3WMRh@${#ZFiv^aE0pB=*-YSMQevQMTcp1=q9y?Tl#K2 zD-jt!<$aFdS~tda7>}}MjGe+(2e!o(!CH+SJ)BEpeubW}S9-prw>Om~tKW3q`4U*1 zUs|aeG~_&=;vb`iN;48`l%6dyH&8>aC5Ri)(qEz&lZ6J6(z?2^yXxuC!{WmY&)0I? zyrZ1J1m}rA#rTI1mBmv|epa6{!>>7<%8Ct+h~=d!`aCXJ;xk-Pnm%3GaFFoB)l<#) zp6W4Zsy(_oUdnZ=>>aA6&i&_D`%e$=%X`DT#Di6*5-087rxV#&$4f|@skqe8y3QmG z_CHSogAJ{Hbuy$40xJ{}*abSJ$OQxgOhpFY0jfhx>P-orIK^3%2P4fRKJ%^T;O{O~y zr-g&Yh3wy|Gtj#m_ch41LepYf2&ymk-CfHSjAqvt96jS2LLe3%`~3%ug}7P?-yPo- zok5Isy04+-c|6~PweXt657H~JaYrUoq}J^!U0Eg%EMG94%?G*?2SG4GRGmJ_ z&;d(^6G;QN$98N)D?$YdHcCGlk7K^Lj!It1fYNQ7cP`TJFxDJ8T~^Oszn!~U5YQ2J z{#038Og3?2rYrhm>o0o=FFz)^A5E^eNxd%GvgKuurj#F+gQhiIOd*dtEXzjTL8oh6 z-8||w4=$}o^^y8MNL;6@WYrv1%&!fGS1uCKy}wS@yg7V|o1T)D@s&;GkE2a`tLQDq zLC^9Ex_B)-Jaxf)-8h(XRInE#QPUSsE_<10$2*=z(@pTCr*+IPC+E8O*N!$0&Jex* zsQQP5#C8hDo#<=4v=ENF|EXqx033vOfa+a#7Y0$NBvzpB=+U?AfgU?`pP7puQ`aqK z$cD%mewTo2=GjbR4#o4pZK8!A6Q3bAM1fZ%oG4NRvrx;oId~9}PVc^Q>;_4oxnRItISH--E zIN}|1RTgI`q{G8vxE0Zr6`*(`DJfY7+J-Il z1BR?qb0zhE0nlGKO7|Yy>OeCclOU|mvm+%`2cp;eTx1+`vHo#u{9{$u`0rpL7 z+N0k}x2q3QB+vt&z6+~R{b}6l(jzvVT>yWEUsW$^~&0c=ol~c;m$S z13f<&nc+9?bKk8FBqEkEzH)Dv*5CK5h7}^(ng^uLChi2|$`In)TNTvs{Y@S#l^xN6 zQj^i!dLl>5E+39d`i7|8Qq%_>=l05y7H7AFXsA6+&s?w(2o4~jT=*>qhxyWK; zF}i^ezxcCe8XdvIVXcQ0OrMZaA{35kJra%eJ=W?Z3Gg|ehwqCECLgI_dM~=ZCT9e` zL*voG96SIH`^l5MbD=e78;G;BWZC-e^+5FuqYm^~SBg_Ufz^!c(Og!+fs3iENp~W` zgIvP`*~@D|c|NjVOTt1d^ssB}rPQtnUq+>%{Wss8?$5wxu&YCw{qV9_NXk#9_fQnW z%HOw{47I-xi=PLb@}1>9{2-tQGX6AU^mA^i2O1@AU+|sh`Hhoia`LUOvwvnovOPVf z=49Jl#bGJAb3;E5eXylCrYj5kw#ePv1R?_$nsYf)UNv3atbBbDGB7fx6NWPI($h^P zHKefwFJ(+H(TaQ6PIne-Wj?&Mvk8f}@V%iojF;z$TfRF4TPcw}(8Fd!CSXMLvSt>| zl)VXM5XLUAgTvlk?P`3^U9=l`A^81X<$TlyH{rYLlm-x>BCnrhu9M!F2SjTgbL+{t4W)>{p-PhYqf7-~Vrltwy)pyE;_v#E zYg&dRl|6kW)$xEaF6bS?`BXI9qb(&V2b1}m5y|8oO-G3Y;KXEBGdvgq^EB)mgkDNu z_lV%i+!!&?DQ3H02QzX`=#wR~5PqNMfo}Y<{-CJf7kvj=i_ft4;Jw!bR)VNE7H5#< zwV_153~TLSe3h;4UvNwf4(G7AHOO58m^qW}f39xcE_F5g@H)$Rjp|pr27}q|!!id$+am6^=@V*kjS2~2rYfo9w>srC*)QwlUVFWn7{Xgjc_CTB zCDQF~%vyWLHX~;6h!kZgVt2Q(xI9&;;uj_gB1y9=DX9O>ON=P*COv37VJWOvIiZxESoEy_1@ohb4u5FK5}rVp^wBD+2lHmk|j?h zKnFz858AN>oa@tjZy>X|XQJ$(sgWPBT$p9;q7>n1Erw=9;IHB5>H20>hmKBfi?d($ zdB-gG4Wa>^oa)r)b>WNWgjj51y0I9mf@I}f=*EU{v5!c|3iId6?6~3AX5>M|pWZTK z4Z2cM+VfvNKsCy$71@vmrpb?EyF|J4ZJPc4K2-J?%|hR1J280=$1q<9j}HpqGUM8B zk!x08h8X@dATUgu&k9{Pj~vR%7#8$v&%P_lEcg}mkszIq6PbSNPM4aX$e69X6zUlz zJ=v{deTWr>4qRlL*?GDMNjBfo)m0kDTuD{tg7#U9N{CF6T}uVK8Z-Vgnp71$3dk} zO_rW*4K_K=tU+Wm0Zk?~&lsnGc;4!r6b1YKm%aS3)Q3m=G;%67!Ie1iZ|k({4ohK-CdRJ$nlEsvpsa^mAnv}*H- zRHYx|l*}XxdRj} z=@7HrQEg6;5|u&Tl)_RGg$f}hXpBCb+-Nh|&8v z9({MZ<-*pWNy2NbF0(l!D?2f{n&Y=)-feh-Yu?{LU$wsDs8_}5?8EVd5*-;BCOA0tnQb37Q z21Y-eaIt*5X15htKOzS_Da-(E(kQPLFX3pP(W2TacX2*?=kjLn_afvc^=yX5wc@a8 zz8o3nZP_Cm0jAWBBr&0d zM@g9bJgSIHsAk&cCYhe4r6ljPvWX;_9&JA=77^&<`~>vCnA7Xzngeu7uA@xJ`>6E5 zVSNx+_0WzpT(uapf|=aB3F~O=3=hcTx1996}zI@*}E`s)wscC9XoOeoC=1ANe78U2>R9~CM^Km zUP9`w*N8?nTJ$vPucs>L%v;SF#!r;%?}qtJ|5`;`1v}qw+L7#E@|df^A>z#qCoXmF=BRK3Xd;A zhZmEs%o<{wV{3P;yC??<&J5dSLw#7E0ALY=V!vZ2NS!eQg+=@-9d%fNFbL-?6y%@KHE7yO9a4 zffohfXG^6h`h({9b-q~`U4(@#SX$b+gA=4q*Q`y?3Pb(jX2j^5A~5u@@Z-!($xALh zdh+u7SM&Wx%l)?lW$?4?E7aYc&H6^&w;QASw`!3ledtkD{Y!cO2KwEUS1N<5DNh>v z8S4^{smYU8;YPRERIyLZ{4$9TNfjdeX4W>ZGRKPtg{bQisgnQ`74>)&TjPn?7oD-^ zbWhUEycL8Iubx7zG$RVtrmcBJY|}`ZmSBcBwd89)mF;;-+KnV7kS5a~GlHj%X9Gs^ z>gy!Uw$o3D#g3yBz;-dLoLV7vOQJZIIM8W9buWf9lPcK1}I@sn!}Sembhh^ z<;6}78E5J#z|szwz-RodtKI7=s_2cDPSm~8&9AsJiPP*_f~rDKJQ{V!vs{OtXSA9v zq%EmRx82%ga&YCSdM8H>v5hIfbBXq82^eH^aVPGeruKa+R=3|1>F;2&?|Qxyl7a6! z{4}$Q+!_)RJQ)sa-{hUtqKf;5)Li2=cvzqbFSm^)(oJWeR73app7hRPhXa_;#jbZ^ zj8`^+$7c#&Ce%7TLVh=*l7U^*G@@sfK6U+l%Qs12-m^4b#fYRQ7=S^bs))+xQs}B( zM=hql0u4P_iMHByz>(XGgXx~-WH!l8U@`xl*~#sZs!U#ENkmC$jOlWMEqTfyi<20< z5y*Hi&4wlXnF*60lUa9kX#|}21XLe=RT;2fywJI+WqUg3_#&k0`Cqf%HZMNxE3Ybt zZ0*mFc5p)5SS^SeOUbAi#q#5#Z>y4R3XAdNST1a=Yr(oh44;JzhS@NBV*v_J?z$wr z8ZeB$A%{MHuv_{F=|$}00Bd9HiNT&7ooD!wbk4>P_#$Xaw2o=bH1A4q;xf`xl#|jA z)m^S-MvCaofQF)9NbLBI6%itxN?HiV)3g>mz?4*^83SeM2ZuxMu7oW0uEry;9ce%F1w9vCRhg#2TZ|zHOb^rk+^;_juAsU)JLJ0a|o<~;O|G{r@Ff!z$@(6LW5Jb$8+PvUEOvA z5AcGIA?tfs$3o>so$SZn?>3FlYM9Qzmju&<<6Ri_h)ti zqke#TQPi}dXYZc5p=%#)u2J13j~XuXIp+PqrMxdAkKS>$%Xo?n1iW8tvxiwaI)NDi zuE~qtlqajRQnG2|D<)`;LS&5&gXh&dv@kqAhVw((@u=LI@4aeq<_JL9hJ2=EvzI3* zFI$S83s@Zsw~OW|myD4ONn1#RK5c9=j&ox={_@RI{dE+P0<|i&nHII}J zML2G^DGP8lD(Rgjv`I2v#gj~1%++;e?NYH~0a_$yKAPcw_C)D#KYCSR2_*YjSP(b3 zh+H)M)iTw^JC~bCL~oYyS2W{rN)DekD1BD^RB+2Nt+v~iGi60zmZ@FO#r1s~i3Cn& z)y%Pv#UV>)a+xQ^>v<~T8w>Zc7SN{iDu9v1Ra~yKJXPK{ywd5hRmkVt5kj_{2Iu2w z4$XGSRKZE}V*N*{T%m6Rka7Dz7X58jgAiK*nlv}Nx?3j(*KEad&P*FSxcy6mpN+nv z0(hzPn%NmE$UCWFGWL6TGWdco-ysuVL7KS|h?Vy4Cq=2kU!x3sxyTF(<{^o4L5YM6 zh+g9UUBo4gP5Myw8s%_CXcd23JK$1%Yh%4zS^OG|V(A0W^nkSp$9!>MZ{fL|x`C_( z)YlO%=cYb|8P$sn=Qf$?KarqJObjMft+=z{1^vxx4bOs4>esR``qgL!dJA{o z(~n8p4T7hK=-dyzF|dpD`JYWr3Ird0buUt_?Vk1%m+e7OtMQ#X`%W}~rLHisXe+b} ze1H1;n_7Ohh6w>nBj%Mk_km$~$mq|->RmYCyu^rZ;wN)36 zY3Cd7&n}xSI-=D2^P*&1t_VSqBo=>WjgQg_w`yibiT6Q+xDs6Xx~vr zF*);5#ruuPaVonNfO$!~zv)BkMpSks+D~2U%@JSRw#WovkizZ|c=(*BE#%2ds4)o1 zrPIu4dAi#1@=AIp0_Iot{0L3&3n+%sHDWU;#B=D_KvUR4OmFzc51kCI3ftRvmb69W z-cCf8TCMcTbFR!-+sA3ad{}%*(&f_>CRJe6(dP`g)jy^rm^;JtK1{Hgt!>n2Gu{fU zTld4R^4V{GNw#6^QrWF7^P9NuaDJBXT5EiJgsAW3N{GC@L6zl1*9u`ixpv1$p%J~u z<(#Au>~*0-YYF1~k;L`9kp7Sln+{wf4@k6(es>v1@4iD;TEO-L-@ZgBnY0Y31t`*!FZci;Xl&pnUa*EjZ@-ekH?hAF@&hiESiFd5tzi{{j#c4bF` z4aMy>`JPcNcB{QS4tX+YyxeP?$bJe>~FT`;d%TN@o`J)e_u*CU1T zU)U%r9I!e|+!;=^*30U`l#=W^e&oFA1Z;OR#SEpj4 zzh3f6sqI&2sNF`dK}jWvyrAh+8NQW3U3bW5N{S#l8G_3?$8gB?V3Uqn5keWJlX?#$H>)~RZB zS&Wv#5OkN2o1nni&5e*B7mcQ&C_uE$t4rc+P6^(4#$8Q)s7KMJZpZ+Ep#2}Z% zCfSTwQpt0_FVOhIJlOa3N zU1a7d3)37r`E22CJ$cJ6berYPEx8H1-F-EiH)eSgJ9jp?;S!?S34ITEvqOkK(>$}C z2YCu114Yccf94KzUVi|~HdZ0JRRb8S=N3l1l~W!|CU*$`MK7K{XEH#Niw;8R@-Ank z?m+0%NM|>O7Tfr@mwA8Z0G)cV+4=~DHktwYbTd} zzcp89-4n1~lVSZaqaE>eP8^K^onxYKxDKe&lA&gpp?vY0W*x=AE8k{QH~WD1EmOvw z9j~Iq;-Ax#z8M6x01I=lF#1Cgyg{u#{M2~Aa)tg83x$Py+L|lr{N!4`XlA)2IHEWLZ#F^@Py_p_=74qnH51 zHp4YOlSl+>guW!Jn<^~+osw1Sr$?LnoyT7S8sEe=RT7zG=>Y+rTcIB3)s!#D+Bu#2 zvJSgA>;xxN7x3E;d+*jHUf0h9(Ty1$B9}4W49QT0M(KGwg8NOp-~mvJva!gun{h?a z%`M+!%h7^qnwlJH-42~<={slS!l}tKB6Al>#$MR#qrGjBnz{26B_>9XRRk-IX4umV>@Pm3W%fl@2t|7t0iu|E+*>h9D73g47us_o1>>Db(P;La zU}xUaZa^VweK^rPBB_Ko0c$>arS0w&Zr0hrjEwV~gK6gv?93CM<`!R)DxZAK)9Ywh z)pjOiTX#xU(K1yNCi3!eOfB+#uV+Z8fTwsh*2N1DFgn-?X1TggMQ4A;BILF5e9`U>j{?kLxx=H54S~&La6QFFq>l_>Um|Q>;P?}T zvLbrc{{^8_+06r7LrT}r5L%H?HnNlKbuLA{JaA)K(X?*$XrEa)@QRpMx>Z?z?;#-6 zmmjJrr0tpvzKi1}$ti04_4eDY$#03fL&>KSHJ(u*^MeHtbl&<*d@Cnf+F1aDOdxu$rA6%Nt=}gw-nvF) z-++KbyDUV2`}(UC_%4*~14h+~w5tgZG#cX;|RgbP>)cPUg0pFND< z)}1y#w)QP-l2uH8Y8KUlBhV_{JeMS@HPE;w>~S3LR`gJ*Qm=85-kzt9yyJFATFk|0 z4`mtw74wPBZkg5MjDYdHe$|fb|@jk=q;Bnx6Vu97KGoT7+B1%o9%hoa6mazNifvoDJf7d}9FJL;wf$wfR zSKg~;x!ZiagjtPD*OJ@LF1M;DahKM-s?Zb+oTQ-mE>}4m#=|Fr_pD>vpkj%AxV^0^ z>mj$YV#99T`J?o#hlPM*eZ7A=wE`=;Z-+G;=O}%3E7M1fU-SiNo?np6N=0^K{iPN% zEMmwfEuD%(zr`}n;tn>7yS(Y>`VCBYIKVjb;fSFA7Y)F1?`--i!#YhEHjZ|*5fQ)7 zrNc3b>QlGwq`)hS{Ydhwd9THGLL(ip$NOI+U^k-r7=>fn98N8GJV2c=DB9;CD+;=4GX>_LVa57% z0K%``i44i@oMkpy$mZ<=;xb^Z&lZM2O5%QhUhX_;>)>N}iatR{crc1}w2INM_66V- z&r{c^S~m~qGZ4zUZnjyB|6~C;)C}yN78D(#{ml(SsZ;iIW84VbBGCI=X2cSe_P|^L zbDe(C_A`N(q6tT|rX1lP_Woia`xx;vHdVg*`ZV162W$TgSf(6QxpsurWD`S*CvzKA zxu0#I^?LHa?`85)=$43wAb-9-5R^v9)&@C^Hs4KeK%Ak%UAIi%g`x?yg*UB)mCu2d zuav>)#r$7v+2q?t4V>K>Gkm$SUOq)dxN>s+Q)6=^ukwFg0OcD(RpLedM{k70v{pby8q;srD^dS9|24UNT>$E&jh=v&|0)vy|F%65O?S8!}ax81)K$ zY~r+Mj;SRIo0X2i6Gcih$j$Wk*B(HN@S)YxdlblW@$ly28Rir6aDSYgptcx?1d!iR zMX3s;G8==~c*&x|BPZV~CA!RuZRD=xi%~#D$pI+Z%=$nHUc>Kllh#rOmzcqaQgz+K zKEQsHJ@3oI@UMTQOBV+i6V*!H;(Q<=TB+>ttGm{{_*o*0Y=cS58!kOxAFoXozrXU1 zL<+i0CTt&16$93VA;;#0U~e8mF{=7IUjz#^I49*79Iuw*59(_@7z@@fMo~@d^v<#R z7KH5g3)E)~%EPdv^CQ2;E!Qd&eJdl1(>6Q?yQD41;7UTqMM=6_01YB2c68I(8_H4K z9SjW{U^&tqaJ@y4!x{bfR^aVt#GoCa{WXo!6@kptOD=el9GWJKBfIyEZNEgLG|1A$ zDwT4RSCrTFmNYLSGwz0gmsN@J06uu%_@ZyA0yNUgCy=iyZj=)XQKNBP&qR8DFYxk- zn$aZe*lchK%^ImMxG<+xeQ!`^5u*(bvV{WLgpESP&LJ=*u{-;&<_(5NNfCZxt~_Prj=iIgXc! z6my?+i1xors=TB6;DO_b5$B(0RTz1#X0@U410-I$*Mn8(4_1pAY-=s>r`sfRU zP*;vNu8AWX_>W}us+ID*)|z~s6qe67HuWg72O*!?eSpwg+xdh}pw z+$@yxw#;d-|L{tS(V~md2R;W(n2vfJdGqDvY~nQXoA;+5=R2~!8w=}-$qKC&$OcTk z(h2=((Ly9-=x|N?axFU8l?@eYD`bx>S96}_rKT0C&@#ybNSLntoF-q#c5o!NljgxNy-;HM z=z9%M=P#2tqpm>iL;K!S3#v?4*Nt=Mxs?B1vA=Mdi0(O@;)-a2?36p4V{^H11vYeq zoLUN7+{af^N+_$Pl%XG#tfhDxCGz_lLV>!qHsIr+Lh7)x-aT#)x>(VbfITYVqh^=IBiX~8PUH9@)( zT1p^8u#mRtQ)h3jT(B(BPWb^0(h3uQ#5B$sAIAVi<`PG)4?e2a$IX*=1-w)IJDFk> zAWCSwME9MrF_8e~Wbon5BHNORSN>ykUzOpBYeJ`c9Wne3es0!Hx$m!kyWHr>Jp7h! zQC|$v`_p!}+Lkhe-*+9DC$paKn_-|)R>7Db)*r{d6r+a*T?3xciE$A%_FP<1J5FQh zv2*_Kp+d;~OBJss3uJD&>m4)5!7WuOg`ptLGI^4G7w@xn=Uy4unKMW&>shTUBu}Td zArb6jolQ6?mO5@w^*gd(wfO@C&UIPK+eqcQH=dVQQZyF9zLj63z9|=Z^TxmX7EqB; z_-Nr?)rviZ!V~764OkjWind6_m*mUzfo*Q7|tN_qne5y1tH`*8qCEpen}4M+xdXt;aeGsc7I^tfFvO}yuN);Wq*HrNRlDNtCxeuO zsL3bXTL%=CS^z7_Ydu+)4&`pv$OmgP3uwDzO{uzQ*>tKCbvgheOgu&}jqP{ef+>%@ z{dokx$TxV?c58|ANb>qrC6J8O2Bpn%?FrTF3YB^7`o`&5TEBm6?Z%2?sDdDVfI%&& z(bdxt2&v-vCN!B}84S%hdJ>!KIsJIHz55ovg!Ku_nvMC zhCc+vts26m4{^u<{L$R|lYcFV#hwkjk zYuPMvJoK-qrc=$E;_Gy5EJXp=62m$w5$GxMVyq zjmt(;FxTow;~`Kvd_;CeEyF&{(Nv>MLP+)N|Ag64y<)Ft% zV-JGs+>QD2W;ZaO5Q40^A|%|Vn%VG;Q*Vbqzq?(Y*XC96zPo4PAw8pzem@YH>Vd^6 zc6Zg=@e`^w1}zOuVL}sFNeCw)f2nEhyK@7c-4_C!WHf7AvPR;CyHci6?hL>1A9L=tRU^dJ*5GWpP8~Daifm+(UlIZ zICsKKN>8}vMor(d81PO14^&P0sBtR{Y^I>4K#8&Wgd+zeB3FX9U{3zHbonI7n zdHKkLU(iIRFiQpF<#~&AxKtIR4VJe>uxtaqsL1@Ncf-g)gi?;ho0Sl|T@L8WE?y}W zXv#bJw$JhjfQ=?b#B3m`|5PT$jR@-HNtH8?R6rHyWUn?Aqvmbc#`05EU>B`L(a zUth%T*bubh=jMFmhW|R{5YRZ#7v;dayaz~(>Z<2|go_vX(iSp9L%3M%iBu+U+_}E_ zW6-Mh(4KN>*qV;JMTJCQ!VcP0UUBaM7*s_ld35-LlfvaVHF1e`alh7_#WlOWxI2p6 zemEy?Rds92JuKMLbN!fhI-pwUrP+-ee2)2;)T9TVs7PasvU))aB)2SmEvqW!d; zGeVkl?)`{`d#T{Ip?6PEwk1!7DWyDbj6Y#(T4H7Ui})YXpXuQZJ(4^9Vr51cM#7^` zwOb~X0I68kBi7;Zr{d}v+w+K*3Q0Ek1KYZKq?w}Z-v^WJXTQf^(}C{2__CvQ`t7(V zRS9r~&_z+zW-14j#k`Az3#DoDQGojLEV|%q>>2A7Qyx;hr;$PNfs-bz*n;3v!^4+U*iB9g7ZpObJ@U3uHzH>zLPhFS-T!t4`(WN4>~(V zN+{9ZlR$Lj?>%RO%0e5KV39O9lvOJfEQN8hpd7s0<@!5R_y1|KaY}D#KCllqsL=ax z=*2+GnbKb769w>kC9g-kx+q4z$(~4q0r`S%P{Y}?kLLRGvMcf?_}$)`z)9-qQLRmC z_NK0gE!jKNTSu3jnS*JHfHdJ=X1BQo(G@Kdb|B~fsO-u1k(<<2?6LTPQZt$-qOh!K z!avaiE@gV~ajewtq+o>O=5=OU2o@BG^5tp%mixOoq7n=Ae4%R^6;a2L$WOEbVgjX< zGOgHfN>>I8qN>Ha|2%K`HKp4cB1%?TlAGOwDz=JCuPjdkUO)MO;V>sPV(BU)?MjCo(Q%#^(lBiVOfRp?(p%T9>E()UXZ{7ks2NN06!SjSQ+INpJ}rrqRr1LRi^ ztva2%{e_77_Z~2D^ammw=9`pb#ReRU%P2k%`E+_u>z@}PJE!X{w7JrfsOS&5VU&cn z3 z&58IA7(v-$hXGP&*nK_j6qc&>+GuUj6PM35~jQ4>sko@2U-C zQ9ZVHQdz2H9|tax;NIP5=!74qFwJV}rs>XWLNyT$uV*Vznd)hpv4K@e6BrG({D=Lt zL4Ksqf|yh$MDZ>pW?2^-63L7~+9*K_O7WXf|A3WfEZ(%BJxfRU{W623wU1s`m6j8> zZy!a!!*{}3D{D%44AB0EcbQOxeU~QwbRci-+iQdDMQZlZZ~kfw5x@JQYRB~rVAqH# z;1$-BRf;QPD?% zLN*-u{#!t)%?no#_F9rZ*WoLfcC}G?gCy4YY@r-(+IdYLiV``K=t-u0#QwJEaT|e) z`nku>te>=j*RHY08T2IAJNb>1d`Nk&M(Uc9l$`?o!Yrv&+(Y%?Ya`z?{G#8_R)NiX zZ?2x{RquWUM%)Cj*D?M8WCbkJEo$D*=(^Jt!|c@Fmn#Nx+xgmTrbhP9nI7TY8(LRd zE8n8CR?KMLueisf-BK5!j8~Qdv_0u;(=U7f=}Rj6(vsna<^HEM&m`G-;5K{R=$&Vk zTTbD0q6gRE^W*N*M5Nz2Lwz)Bj@<_x0q@6~p_O!ww@>{V>PP-1VVu5w^mVm$hWMf5 z=OM<4ErGOXg(r8rKH!uh^2|$#mR!n1J}S5)EB)Y?4IbIvjptrEb*_~*vyB>`FB2r@ z42yC8K6d}KN6{jKj(5UX7W*ggw%z82SPRX;d85`t%SMm}G7haeynsjE%>S(BkLLa( ztYIn9l^#Xg86K}D8v$wmladr6CY$ECpF25!OLQFB@ zhnEGf>3)0VQbM?zbt06XGZhe#DRUMy2TZM83c2prM8SH0zZs!SGDvl>zff1~Q7uori%Of$*<{r(#zD7RxCCj~<5sukt4Alze6M#>#U;s{IBClql>Qtu;VqlV z3L*c-N&J8Rg*4M+2k*S4gVV;w0AAcEk4UkJzzr^H%}ye`vi#q-$Pu(x0VQ!%FlaIt z)ciwHlXIB8*Q@u59Z=QCL&*X~CPvfBxl^#=@3a#LD*qkPdJ0 zXv9fZ+F5uZ^2Z-@JirU_YP|U9yj(}>b3H#tR6Ap;bF3DY^Efo;am;4pt143! zo;Nm%q0ncmzs^=9QEZVJ@a@G+`&x}JrXO&a~Mc-CP|Z^#_%5=o%H%O?Ppys3rJCc2Lp-!+*DXR zN!OG9hnz=6yV#d?UY@cHsDID%-{;gM{V#gvWVeC1@4q@XmqaRCFBFgUvK3R1x^dsH z?&1CShg#_U370u#*j#o#WM8gp@dk?z{P(lp{SIB?H$V#fyJ_sI5qcmon?%#qnV^G7 z+mmi8gpWRhu5$qwln?2uZ`gt{vnqm19n}a{mXW~*1I_=vUQA#-JKaiglXp#+c6%9y z<^SJNO53fyOQvBDmsYH9%qyypU5Q*RzzOq-OS7waJlJ?0X){^PxuCsX4KV}9!LOGT z58^{4Ip3{j?sDCM;wb*#{pg_Bvb_J9Jtc=uVW6j{EIG9;(Dplx>Qg99d3L#8k8&7G z34{M`c6Ufk9`{~IhNtx0beTXU=ktv}J2P-Q^Wf;LDS8}W&m&aEyIF>D{4gsgD;Bd; zeBqAEOREP#UXuJ~NdQvqb~E%*pwZ=tpdPq>uiEkKtfws_o^Un(s@~)Okc9NB8`!!P zGu(zY>u=`p$aJb)F8mWs!cu$t7fWkIuW!u%fw-uHZ3DoQn1E-n|6X~VQJOuY+6Gq z))Uhg{P($S(Z-n$&FoLdU7PZ}lVm>MRz0{_{ykAwHP4uk^-9}Zt6G$Ov000yDd#KG z1daeqEq4BF2>QG{ufU#s*k41K@jTIfS88{@e0LW#l@W5q?R>hc`EvQ}O11LLCX8p1 zacwJEI`80?=WrRtf42&g8IH@B_AkP<6q2rsXaMXY+!wG)knDYVX=@{FgPT@TS;i{}Ih738(73nR$G$K&!3f z8(5oiGik{`LZr0k?UG+FJkt?;)|I=5gl7}*jIYIW3_z1_y145F_6_tSNA7LRK_?fC zVQYJri1rtiGz|Z=eHv++mCT0rf=i;25^K)JXj9{Tjk90O85Clx)B=1Ye~+3u@gJ)> zSe_F|W$7G<&L*UK%=6@{J$9V2+wcn8tQS$&gwvlQ zJaxie!}xRQG=6-J7$q ziFn{R#J9wG$*lsv3(h&(KjJ-gjX3lEzMtiNvO3?DQRL;`=Ro)Op4UZp1N$5%rFax# z`N%g+_w3@DArjZ8?&`B@h-a=@w*D#6q+{bxcG1H`r_O0g{@S(PgN^1>Jr1tN(JA@L zwO5<0vYj6Of8T>2DQ;XxeRKD&e$glLiv3Y$8|ccL6#BJZkW+wIzU@NQ%j!LHtL6jrpJO5(%hT-C&R0@pU?6!-soTi}@OK=A^>SXx?)D8qL)L1CgU9)SJSrh_y1tZA+o6F+ZKN>1^qbUX)kE+%UH!a)w_ zxR-@ea2#~;nf#%><9nF~MvjHO@+a|PFa=HTQ}7!DEs~3bEvy9SrAyM|Vz|tBZaoa~ zk|K>&R8%x}dxTV0;w1AR+&VXoO8}%0yA{};{|vtCX~^J*#kaoE{oZ5iDYGI;x&$kc z6^uZPF3!hQ;mfmRWzLf5lcE}fx(mH9(L%TaR8|)}9Tp^K)${@Ncj{ zTNa&RMV7fgvCI1-RS}Lm4@ygaeWpIT+kd>UnVJKu)=Hl$duYRt#l;?A5$W-8-%CEv z*KJmJ|8IFm{$(h<{rK+RV2nuvZ)D$@kACxBz9Ua9T;+PLahNrtMvYBJRg``JZ9#bq zbn<>DI&~{|zv*&M$?V!ovGYaBwY&wa#m(TVvdAb&FLEm}I6;N~p&C&slA15eI!LbG zXDJw&+gPvSGWN1YRk6RJ)I4>j%0|BC8{MC-)&GMDOsn`Kr4&r#=$usqNy=w2cXHQv zR(YLskMcE6O*#j@X5V6Zs@rm2-?Jsf15!{hyl+{F+EBGu0y}3Hfi^-$d&Pu%vqff2 zIlU|V!}?{C7OSrOW6+s_M2wrK=Jt(>1Hu!%R|4!Z_|((aXjS`OZk1wT%$X_aHUKCA z0NI4z z9lB|c=1Xc+b2P!4AEP~nuM4j&pHY~#%*fe5xjEAr_^*kBE9Wd7Fa{#v><`Z*=C4{^ zj*=)5cw?vMbDryZjjyLJdd*uJs(Sd`^+$zxRoyAf_H^dGPP`0HdzMxGp3SzD={df9 zG;svmAWi6e5+b@jTz7uJzq+4b|5Ub`skzhn7#)x%YRn~q}SV=o*=-~g6_0@4vHs9NdpoB=MbjcDT-AF6l0!nv^ba$*s zNp~)tN_VaxNOyO4cgK6f;`4l;-}{drgx!1YnK^ULb*^*G%sNV-VTLv#gY#qas0~($ z$E$Qa`SDRh6{uS!{k;rOt5YA0wUc=D7I6uQEmv)xiy6Ib&0uG94O+Bm+wh2}7iYzt zr-q!u{im3tR-cnf?QJ=KX#2!keOUn4S#|XPB>dw~W?}j6G$<6>;Qo|UjE_Ou(bDho zj}IS}=G7Qlo^)FM!u5{kR8?#chC8~(ZSco^ldP%bs`7fYvKabaDp&mA8-q& zNO0kG+!b}12ASS=Bq!kx>lQjdPXtiKt7pF9eko-%&lAR=PJGKUTB%)T9`l&eb-3%x zA`XUdI41l7RloqOCVl66@r_nRkV#gEXxN66a73}7wBi8=Y_WYj4CDtT&w;fmg zky01!PVMJB>phl$$e)hG-mK;X##uxRJ7w?M`U^FjJDAk$W-hepy9UMkzOP6$ zMpy7&01Cx;eief&!4tHsg1VNHTKxg5RcM1nT=}Pwlq;u6PL3A_*_#vrW_YTNt8a^@ zRUMyhqe+T1#xGp2$P5gymCbFmrnBS7P&3rdG#xEz_xD}J741xZo<3JOSqtycIJsEo zd7;qwbnC>s?6(mVdNpk9+HwbZLN?)if|8=@e1bZXZl)WVs>ZpT$Ob6clXc0)3dUcz zSM)TO$~J_}*u2&t1kGjj@4H$)Rp=Hy?#hj&ad$ZJS(@m%vFcnE+2{^*Oz^x*5Mp2T z4h&GM^YF;2DUkr~Tp^>T>w@$kk=7DUDq1CdA_2d=3DE)n=@a}BNeu6u_lFMn=6MFf zQ|8-rrFb*7fu9wq6OeW$3|U7}*|1asJ;uciiJ%KATvPhjGfw4rNKZ63p7AWsSY$8Z zJmr}bU6rcGpJ9QjgtBPx3*^!hZgh)m(EXb8R{2@fEACK85EnG&a&!#LxQ1Kcx45!` zl)iXxb~mlDJnlN7k#W>W^@CkEY&OEuVK?(LSN)3id*`L(RSWHfJ# z>!R(t)PD+P(BLzVYdCfc-{&%L<6w1zygN+(NwlT2#;JW(m}S z35zsH1>*<%4aONu*JH0f!yUJQkQ`K7yipT@#-yXlOd~>k=@#rBY>gz=A48QKF-eg= zej7Z?T`kx$KK2*;2ZSRoKK;ET0;u0TjZXXVzBC;MX5yMj4xYyOo)|g&8si#t_@Tec zcI>pFkIFi-EF74H6mx^hI(WWMz|E$1-N1C_g*vp$RopjTz&O}0ej{^0DA}WzKX)~N z*KW;FJ7n<#1K5VxbFF>Zk$+LQ7H^a1QtKECQAiZfK8jJ8G{O7B$$mcmYj0Tmi%nwz zyDPQO&rJnV3fh@6ql^@>cyWZNDZ_jp*JG%a!@%6lfASnccx06QjJ!H|x4n7urCmQ} z1Mxhav*DZbuMx2;l2fZVVnDX(-p&$hNaWK4vHK`t8qmkero#hKuyi}EF+CD-r78Cr znSAr4J2Ar3P{vCVTKCgGC^UqV;5NkeYx3j!m(4l#r05oFZ)~R^->fgO`)C}%D5v{; zL5DsWM4ERKTjhR8fd%PT$g1dSZ)e-FseXH)p=r!O9pK$hWl_@QOq;}BdlKmg(LLV4 zFHxS$bHGy=C=Dyp*oZeVhZ}a@C_9=?H{BnI1|1w_WUV<6$N8`)p2WNaE?ie|eAFJL zKh)7Qe-d06oo{Ou|*=F5RZ?XPayMe|^jCC@u(%5G=&jMQ?dfK1c)$YAb zf`$7-hN#iZHf}&V?($js+>L>7=3tgLJmC{%9iwRDVoWJ3t!CozL2@2Dp}E8JCS*gY zpC$x#D}U(Gq?A0LMh$J~ZWRmbf1auvAapWk=;%7?7ENAL8OizNF4d!Ix6w>)Zu8UR zdMD3ClK;k4#q8$9Q`RSu_wb23?F1i(9*@mR^v&r2?i5w(W1E2N_ju+25C+{GZuSt4 zSRACF=}a@q>FEYyRA6bM!S}jbTrW-sx8I!a{gS9rRwTEeX7KMB2}(k*j6bYcmcUpjQqI%+Yv>Xqwv^YTnBX!eV z$UD?K9~`XJ@Nur%Gv;cK_A_&e>TKEOI$xPL7E}}sU=MGwDN$$=xh?fQEp;1D=GaVM zLtWXTPKr#TM>TI?A*bF+*@b$m=yFf)a(zzOR>^88Evte;88sq36NBw z$c_4RvcVQnu$;A%XLWXL%x_-jGV<-^bi1=2&QyVR?m1f2JCyXXY=2&7F5<(nnwd?e zqh4J+XNzAuj@fRW+IbvqM-`ZdfA+i?W%Hy4@PBG6KJr3&?!diUr)s2xKy=B+sjqw0J1ElW1N_z{ z8Ygyha^SZQGIxIZW3|7@dMVxLgiq-j2sP;Go$8J&H#<+K+EDMUM$KB9+Cg2ZYg9(j ziWJj5)riNg?!lHh*?70Xr->t_)cCnE>*dJhFK_08yvJG)v=1j}tN~vv%yD)~ploQ= zxYV+59X8WVCa=K>1?HHL<%Kx%gQfC~f+B9#EsVXxx@$v19BzYYG<9r)UwB66)n~ug zs`?nFy*16D*Gs*NEQwe%suc~TM+7Q?!%*&8N3;=l4q|G}E(gKJ3hxu|y{li#8#5d) zPc<45CRY53H!BBrL({d{g9eJ>QHV`6S&jWAz6UvdndLGAVo~#yp&+AQ0o2lC*&*%q}Hxvts(7 zAJS+qa?Z=gy7_@XN^@cDz}M&H(6}M%;nU@m6jtbUQbA~EZOJhzYj12}HHDY0OJS(V zXhRe67o3C4CF&91W>A-2VS>t&9Y$0>oR&8&7C7b>JB*rRrB4ldX5ZqNBn%X)bE3fQ2!E#GGa)SNM4oxXI!L_US;uRY^k5&x$X7(|uIt=40fV=a*S} zc=pAar?DBQcMhqIl%do+Lld0qjC(n4I4=P(lC!xprFvDhgTu&9!khlffy?q53Z#+x8GU2|YA^;MWLk!aTmt8h;}t8%pYe(Jf4ck4^FMEOUm zkxdG7ARoKba|Pbt@5LwK1cONiDAAs-MyQ$G^%{``o%$gmZqk~ni8q{H^%u-x_oZ4P zCLlDokY5~SR_ND1kGJJ@I(KS}GE_6#$RnH~*k9Pzfy*g}+OsePj8}HE*&@J>7E%UIzRX6GgkLX!{KdOHV68T6LjbP&lGT3$49;Oe40~mCg zj{k(wJ?!w8SS*^@wpW7?*Ip+iRP=?;k;T%_Q;FwUN&%&eoCgqO-()L6A`!29oOV8ym^v2CR z5gi*4Yk>7x6!&3fzj&e4%&Q0?1wXpy0A~V!IQG|m{O3}+%3V7jwrekD@`9a{pe9)7$ zFvwD_`R1sX^}ZtC8QPfbrD#(bm&I~=ZLzEM=qXB8cgSQyLgC!~JM(wKD_yV}l#&J9 zF@F57!CGme@4fW@0siQI9wiEUqE;l*{m3-&Z$*e|u6SFPjJGx!2EJSgUT*|qFa6G- z5ZT*^!(ZZ}=b z*y_}IQ@<)1IvIl;?$D0{a6Vpxtn6(Esx!7~!_oF8Sgt^ILe)&QTrNL`S3(@c|7+&J z)C35qE97&R=z9X?l_#jrE3N&+qW`U|+;LVUt_WXkzxFDHLs#PC?s()TO^=?T*=3sm zc>A{Ox}@s8XH^bWV&w$W#IkiK3EULty;36xxS9%dpY&g*4%o6*l(i#-+gTg`%#$UB z!U2~i2pJ4Z9@j118SVpcI>xMoet!ZoGVB7e$8Zh80qO6`vhSxy41~T}5;ap6fFl-% z!V-$m$M=m7x{?N@#PVa#?Gp_cMvk}qU~Md&1aY6qhC+TI1*avOk7S~aY-f1bAFlsIk^D%CchfOD!d;xd+gl+>m~CS_PtVm--DRf zgL~S7p5IQa>>7UAR!97D>$TsBUC+?ZTdy$>p*@2U`{?gI=>1=5jsBHy-1il@-f!|7 z`XyP>sgp%?z)X!nACvLk!HvtppX?FBBLAvFJ8y2Q0f?RFbJ!(8;24x$1g7OCJ=jvL z2kh9sJP5hzuhzg<&7-RH8wMy;lh=s2r2K~p^s?7*(SL*YcBUEgcKUIx7kh|LD;M=z z+#|##sfFk7UWAGk;Ize)c#-d9F2GAQ@EUt=Nq~QR5WJ5o!X9oI7{IJ|F2z-T)d22t zq)B20h}7D58skv0YA0tkYDsCkau=5^Q>&ZrtOk9=nbel3QQz(svl_;1N!v?d%zsr% zcdkg3^x-g0iY}QSUCSb!_&W_Kw+SZ$Z|%A8nB!$(t-V&kCWoCU5HLV*D)Tk1jyBKs z>wnvNn+t+ z+Cj11kM-|*AS&`O*w7~Lb1tswZz9<6kiJB`u3>9^Vv&xU{+XLoSnjZiT%ZW0>oul& zx;imb>ZX^@zBK+>7?#n_dNHTK8*%aU+HAq%u2SXu;F%ugA#z$ABfjEa3@gbMQi|26iM&ui1vBgXMd_UU5%gqwo}YS3gwZeuXcO1~eZDzGf~s)>Uv7$8rl3^a}PB zm`na|{0I~Ah)4gLgu*HOwWjcI+J&y=g^_>Xjt(ul$mshSj9x_M|zz#?)`zdN0pL5TjBkQvVb=z?O>?$kto0S2mFW+WqhwSYHy9g>DzF7}S@**Lh6jcU>D4F{{$;Sqee{z6 zq93Mqlc6%e&PWs%lwG|4-%ge~kA5oDmfe zApqpQ|2tDI4Iy#*aCjAB5IpU7czTWv@JZFlEn|MSjx1yjE*CL=4*S8-UCqF^>;Z9E z5f+6jY=neS3Y!rLL1_iZ$LWxIWoD-IsytS`y7Ti3Aa?PY+J=35+H^ll|4i)&LJV7n ztsEvyP@whg*1t(+2(`5O`hR0zqe}MA^O=wy(hQ;XIq^Yhw*2o@fN_vl33D6pEOcVX z#bA948NTyuhsDjJ7TCv`q5RJFS$X4^1_u-6zcK#W;(hBtN*L@QOfLAS`!%K=Y~p5r zJYatX0GuI|?@eLyBJ{*9w>0&D^g{;bTQ1o9)TYR07%~+ z&ReXbM7)e1&2QR%E@J9KPICK2{&SQ<5|i^J-7j}ql@KLxec!9GF&25UAGYK^f(W0-`M@(w#w1S?7cq75+k{Yf)2Pp?QULP0j^Wg zbE^YADCLV4bu&5wegCKA+}3N~(7H@rJuNK~b*gOa+n4Z=2iLFhBs5cU-}i+B3z0x* zp5q}YYydp!LjV^rq;=s-XzkuRVkOqe#7x%+E!|PWi8U0$g zrmp)1b`2=M3xY6fCquBli_C*6SojG^0V>{ltA4@yWi`&uI?QAmp`g zw^M@qSB!kuzTm46R;y|8%wyl*VcGYCs-;RYVkZhmI!oC*FkvjLkPs#RIOd%>)*w5=-AN)s8V{uTVz7?nU_U1%r5C`s=~9{|8#V@u_9jW z|0Z{yd!JR0acfFo8;oR23Uy#>+<(0ckbo$WT+$-bS8}dve&<_f=*Mm{ohCcz1-$x=`4J@_Tb@PBo{pizHe;R8*j^1 zc`fOdpR5+?-`D>BmsTIsVVmcnuH7C7dey{qHDx0N9;V z*hF66fFFXj@h1;|DaU?9Leu@%PejhEVftxTfy9~fL>Hh)xWqQ_E)4QAUf6zK5^pAGd%Y{HNaW7Z0xXEQRb z;pV^Aow9u0Be^_gCJIyy3`*bwxnDKeFZr=+ zh5`zPkpo*Mh=R3h{Ki>0Y!$8}G1Q5yLzrRl4G@sHTxVXtO@Dl6ZEXOi^!C)c2+L~P zqe3DC?O94!saTM73OrVR_lsy`uBbB zeiBA;&|3__!22SMU-aZ|bikhhRA_+?a43%HI%+_;-pl<{*@=I=6(RNHq?seSD4cIV z$vkuT9GqbO1&1ryGfi4Jz{bX&OEfn5?(Np7Ln5J{(hOh=gAB~C)%esnfUH3*1rhcu z0G|b%$uAnZ#x8= zhJy;eQ6u)#50wdQ*!aXR}!6+I)c&6_bCk=WL%F{>yQ-gej$#Nhu`c09Ak}HJbu1!7@($^L*pCWA*RRxKN zy-RUfn(Ju?0K4}*r>o_kL*@OGr0cJpkdGU$*8zE42Q?QP*Y^eD%F&3aZY+n9FbKyt z7(C^B7~IPo=4Kd)ch@Phng<7olozshFB$f5q<+#jx-|&aNsusZ@Ay^b1&YYw71bjg%#y+$FkT&avy&3!LWo6^iYsb`z zoK| zhLq`a*B3vmUHIG`Q30vc9>lXd*pVL3Ka2Y0Tp7QTernw$i`OP#RJPrN0YG!*Uvm7T zqrH?qPbt8?gIm*C2WqJzUkQ-vHuPK}o7`?3HXi6AfCG6?fLm3Q`Yk9ll(hD568Rrb z`vCkATZ@N&2NysDLj`)#?KAq;-*fi#_34fcY$P5$;C~<{`0nEp2NSNk_2TwV#o$TY z<*5=?wr@y`=N2LrT|qz^70|4U_MfFbTg*Q@E2-`ekpHr(oT(r99iHF+wh^bIcKd~4)?StAcs!0zUv$kt#^ zg+avwAH9~sCLjRH#$?rVT5P3yWM*a_I7VQ@DKtXckze%bnP##fK@gr%c~O)&kk3WL zt<{af+-b75w=rz40j2}qZMa|QxvII`9r|qL24biJM4Z|}b2-Nsm}5Uf9#Ke3HfrQRMB->Yca^0`k(W)pu_vl+3BS0UXfZKSso6;%JF3_W+dL6%3 zi|8R$*geaDc!~mlk&9a1!zWEqo2g6oyt_D%b9rfboQS+=Wswn|N*GJ;y<-Lt!4_Zd zX9^IHBAeTf=K*xKX@&^N?F@nsv1dDU{(*h}_yD~y{;0xc-$Zi&WUc)`lONg3IL;h! zvfepnpc1loSPQ5M!W^}|EX>>W=}9Vjx&1@=z|;!{C;ok7{!%y)zG2KXNJVD;9^88n z0&#xxwZ3SK; zrw3wY+a;wd{MKf>boKY%T=|k@+RGr{1>n*A!axURn&M=SvWj6XHK}-b$10(O^WK{| z0uJr`QL?VyqAegJ|MK&P{<|%kiO0bO?(YEM>ew@Lb}g}Yp;O5Mb98EWHM)y`w(xy^ z2OZ7-7|W$+ib89-om$D~vnaa%q?I9`A6{(&hgkL*f-hkRS=pl~cDh8OMU+!>31e_; zIAdfqC}YFPWh;kRtgd4t(B|lPl+Kf0%TT6bXDNF{{s>zSz!_=BPqt%N^2L{>^HC?e zobQb2Db_4N>hhj_gn4c{IB*(snf$k&nabX9q}vYhdm~#s`g+ndz!;X|{vhRt>(=ET zxd=`4_1)|%P8~rmk@Yxy5kh~PmZjrz(X^oNS(@4I&^h2ld(SNghpxOZ$e$!Z2K?h& z-yQpgzfm$X(Q*BbHA1Jqg{s3}1Eaam?j}p`2LLjrnPsRgGOrQ7W!nQ3O0Ie-O;g`& z4ZbRUhvwBHpWfAWUc)1fN$1k-+(sPC{h-v93Me&K5b?A4>0H0?TaN0tH|Wlc`3;bE zy%go?c4<$Im@; z5w>Fhu#;WopIPxip#jyaTc64^brM{*gKUrCo_rg(-jBIl3jPIhzv#FLgBYYY*Vps& z`xebWE4O&YoYzN3!CwjT^0NuXCnf-qCG_Zr%fYXtkcTp-m)J7#R2>H0gx`BmV6D0U zaO#xI0ahC!VS^)@%O4tT4SNH##Rh~J+=h)X`~;u6SUQWT-x-;n^Ob-?PgU^6cvVX9 z{MYx&EVkYNPb-os74tfhJVQ=ajnuKK>NfSM_HdREso7*o;{sI4{B*)aAs5Y_&P%6W z2gO^f4}rpu*3Zdvw1zCR+5rV67!Uz;@0vKwI|=f-ceZtk9H8OC13e4JhrLZKMg5N2 z4sMn%*+9O_lcTFn+LP84>#QZo1)(QJ!jHFBx0wiEKFMoo1#Lqwf}`D^%YId90X!b) zy9C+Y0}rvanneG9kC$G;uO;GJC6hpo(1~RDCeH@Co|dZ$;JeGQY9BH_cKY^+Fy?be zhhm$$qI!ISSK7zBg)8=|o_j^i5)a5|Zta``DP}mX{&9lj4_;fC$<&*I>+!D-?agL+ zD-I;R4gqzBS4l)YlXTvX&|faQvQ$(w;#yRbJ?G*jnZ7|-_loL&5QJzl|E!uy=4+N= zvR#*u`}7)@6rd)(6IMU}$ng(%Uyx4<7mHj-6QeMi2c8;rV|gPG2I*Q#Vxjc_ywp@tB^Q(Y!#E;o6HObRU7{7W6#Jl7h}wc$z|yh}$&#^Ar^ zO}#YHERN(FUTO=peVm@80ax|5>Q=>1YK%=Eo&>%6kx;1=efW}w?sWwHJTMS<{XJK!Ju*pAa}?n!?>_M{3HlxVpsfJVAf;~4Vx6+YT_i{>j7k+do&M}>>B-P2Ew|#yQ9bl3{`_$ z%xYwKIcz6w!dyshGuN??stB3#25wt6%G|b@YQH|`3^M2|WUAW@-XdDx9DXfbDM@C~ zJpsn_p&kTs7Ct1jFE*I<;*Y$WXB`Uk)2epEyy&=~&=_^AScrwRT@X-I8ga@NjK}4% zN`*>G$Nd?XQR6nJ9e2ymdH0z6QBX2a@Bzqe6=iPIOd2N0s}f2nj4uEGTj}9}hZ`Xj z3s#Z6_htaCaa#3*kQ{u0DPP>QEZ!ojbHz+?(w{n?(nkgr-ypt?Xr;Ec;x&#ANj2$d zH4@1C`{|{HO5(^UUDlzFY{6gO_sLTIE#dyfL`J0O4BX7S`NJ$ZL1sw1n`~J&7@RKm#v9mk_lWs}4BV1+oo0Y(b@HiR- z5AkGSHsJf-qedyM9(3=5+2C;?YeK2IP0fGaqyKkSfd^Y?YLRHYp*^uC5xW1|E;djc zEO<-^x>iKE6+-;e`rS{!s{*MPgA>!e!%u@>#c9hPkkY^ZWWC=5fdI&73@q5!R^XoE zSegkxy??f^hDT87DyrCDR=xkDRy}h_CTp4s%rB7n@XtDFOh$wdta!=Y#pLvY2T5hq z*75Pste7~VH@#y6w185x9gw60%H?94ljAs%;Go{sRz1cJ7nF6Nzs+$)4-TTAWG0BWjm%M5)v4KV_A)0*i}o_!y9+vBRp)vNJzo;7@#=OLRSoO>AS!J3>FSK5S!=$ zW+sg;uyY*9)W~H3FI8LQtg1$xFCWfQQKk}nl_}rs9{)k%m49Yegpm9ZqX0$V&waj5 zW7zP{QvmR0GP~{nu)!qHfDr8v3iy=9KT)~LCU0vs-Ab<=0Y)n7qtM`54cq2~K2NC@ zK$b<8EVqpdbx8WOJXh>@uklw7E7V-BJ`olp6&w+}TK*3ky+G92GVYRFoC+!XA;WRs!vY~gy27Pil z`8d&GM=8DcapmuV10lq;TctnQxnB{&T8D$mM7VYIaRhSAbcCQB$LZ8JwgMgG0E$5W zgx7|CW+Gq5eYEYg!3YQ}lyx)5Rd{ZYsp#p%yys;f-;OSr1wC1t0#%yy)7^>?{Q?wG z!_N;t+_96u9}$n0@l7=GJ`Tyg1WG+kkwoAgmfakbO9o z%*;!wbU>-zJ2e0jp-(9L!dGHY9Pt8>cf$_}1Iavkat6oC?ywI11SYqyk^oX+4#Z9q zuLA0GKq``vn=J}B=8W_YNhlekF1tr)PkrsAZBCBFRSkVgSJTqefg<7}pbXe>_!v78 zkgM-taPWA{ZqdVKF7b)}aT67rF6KQW8w$|<41Y_Y_6Ud1tZ$^ub(RiBG{21?lKtWr z=+GatoiDsCdg7_7=E7|pE-Q8?P%HK*lMF4bxqF)JCy|TCw84Sd306OPqiEFO0&Y}V4mFOS|V)|a$t22&6*&r?mVe2SKnOUqkI%>j?^NnN@u0jq3WY`6_ zyV41_ZirvkQ%&NcXx@{(Yqr^I`w6+H{nxK zD3B#nNzo0#8Us-4(@Cnc8qKSw#m&%%!AAN_Xj9VcY9UjUL9H^=F3Qlo))oEr(=P`5 zg?gua@bmPu7c~U!W0PJCUuJq6IvwA&h%P5=V6fKNUF)0?ZxDq=mzzc`V0Zh+@cA+^ z1E4fpNxTa&1SKNT6+}5+ojf75dbE z=`*guN10+G0F9Ih2Lsy)f3LUp);wMBeEpogTo=2$?dEz6ZK;6x{3&s}nMc@T0HuX= z!<|b6{f+KAlnf5`XBLm!_AYEHxoh7)0BgbV7_1)xwKjlB%|@lH{ML?=*u&G=$@sbi>QMHP*_f2{&=mgMF!T&Qsq zs%dfq(pW#O7j=_}2&ynYSqa{SL{a&N-q=}dei^WkCPrJoVlJ0NgzV!%Zjrm4z-?-< z)cY*VLiK9Nz_FoIDYYbQ6}9LVFYq%V>QM^3di@B_4xU0GsA5?7Y^3L=>NbVAP2jou z-h20X&Hg$bT(ByJ(&^zmyNi$i{?jB)Vo@&|#kwcGxew9@BD)B`;XU<7cRU8pf zG=E#T#~r_sdf#G71I!1R0?@!`jarvB*;l}FO0TUPlqG-zdGMRSpC%kt15c0N@c+2* zI>eY$kVwha)8*)Sa9d@6v9FcePCbz$KtK7;VbIJS`(_N_NTr03|)OvI*8s06Y$pP6N zg-qb<1L8b)Spf2jyoeV4Uylg{q;7;tq=qV7MsyqocMeY4NNJSmu_;<$cS-7oLqI|d z9h)>zt%iV!a(3V=_{UjD_QAk>v)4)`JT!O<0GCbKq;BiR@$h zZloL%^ylEqTJEzX;_GymGrt`%U=v0f_w;C;6mRvpL0iX?Od|#X_&=x-K&No{#>GvS zEiZ^ML@~*q!*fcuw0KDXm$MdJs;F>r<;s$(?3f&|%WDts#AxuyMs>%4s8?vizE0N0 zT+$w)9(DlgXhO^AmyxXzd(Q>AL;(hsWDo9Kxr5^U2EF1t6=Xn$aZQkuf3_8gk3}ydf&J#+(}r%r0a@7t`yz^?wG<0r!`ibZMSHVQ>~bjOk%69Q;g+0p zJV5A$qh8pxElPc|n)*s!Y_}K5G!`&uVZ5=m6He=M+-96fBVGO}GtEG5$)SxM!U`iSlw;f%Woo=LvH6SPWJW3pV?3f^oXnK|~2|6&KPUaxubejL|nDUCIsvDH?H$vWl zn8O!Zdq;qTXRuuz>>bt7KRLXfo%fzg9#FEG3x}#%)P8Wv?oX;!qHLi{K(Xamyf%7H z5qBgMQ%XUG{si5(h+m5<%Ps;2Gzi~cu5y6>G<*5_yHz#fx>&a)_%=!aQQ(?o zEk(&ihPcaj03BWveE5ok0>C!TZfzH%ss#=~7_Q|5_i2(06a?MNo50_YW18h}XlL_o zUTJ_rEa5n-1-O_Vcb4E!c)Ql*24PVeZ2=0qK8cG3-5me7w!GW1wWU@sl(W)4-bxsVW2q`RovKA5I=bUU z%&R5xA?{v_@qb3f06$T68yphRu5HEhH^Tax_-Abvgj#Z>b1itUq8225|KZD8;yC&Z5FRnNKEiU~vwiiFib9fusmHMtc;n{i{$6)>+NDiG=YYo@JsW~lF z%;XBuYpbuRXz-Y0mxmRUe>ocqLYN%iRuz9_{?a)ep>#o@WRiAB|p5vOrj+O z`SCr8AZdo%A)elO{p5;KEk<+p^|SwRnsO4!KPyDKS=1uj9j~#M%_gM*`q$xm$ojsx z@&_&fGYzXqngmWz*&AUa3{h6F2kzHOf7T&slBK{hj|unZkWBeSHS4rawhi}1y(dYc z!XiIvj~bpi+TU#Z{$S59l?3E+N{u9>JfyE?q5QMIK-Gzgv%DwPQr9omaKx^y1(DLw zM*+#;CZ}bSEHX1?F+&W90f+|o=`j^WuW@E4r-Hpg;@E!BZC+|!aWRvkF=Him*f%{z zWlb?8PBh?=K8l-J2^2?3K~%2iuU)<%t{y7gEI@dUbU zr7Yr|G!LjlrTya1wA9bRgTp0d0I+o6lM`{^+!HT7cB0FA6`Lq`G^RzklsG?Z1|HC5 z9r-oOhp&qmzCt3}BKFane6H^S>1N*d^%=DaBN0c-3FrO&W2xJE9|pgfbda*Dp7#qz z9^g6+!S^HzaGbVLH(37eikAa2kt4u4B5w@8Ta9D&o-y4dWhLG2+Zzj7Kyd(4JxlvA zG|zueYe7Xg?_^PNI*=@wi6hnhRFab?gx6WBQnv6@2;b#4>^8$qHsR@Ng~^bEH*-y> z-uQOmWvg~Nb>FsZTa$qXPGw^G8!2XfBQ!^nRcCCuBL66nR)UzCHtc^F;8Q76o zTH~F8>sQV>`{E@*Q#RjP0~Kkag$4`+XSl_kt+mcv-lQrCfUZ!q>oO70C=-9gYs5&%dZ#Tv-}JlE#6-M!+|NU%cog_Tq7M4U!-_)$O;0 zyLY3;V7q~}>FFUV%Fb#+pv)P1ef^M%6~x#aD;+rg1Bofksd%U=pO8SBZOfwaOE;XO z?Z|~};4)%VmR+gKNu=RdLaW*x2{c~Pk}sJt2qQ-FmH{I0@R+aodwesbTSQ6ec=v6j zl6xe(ldQm6LjH8NO((!ng8K-X?-O&{w^QvfXnKORzy{&1c*HRY%N z8e3q0136bb)suuu3@orHLTR42EGTpxgI*S{$7Gr$9?g}6^D6bG_1V?pYdV@R)hIR7 zJVQ?XOZc4EbVcf&CI?Ss4d#2Y6BnIYe7D|zL*gj1s{O>vDfFA)5(f;Ayj#P@!Al5g zP#=w7gyX5JD|YK)bKJhNztv3s=%0p~cug7*-4mn%SjmQZrAW@`qUvBeW~o++0gENQ zc;*}ho9V+z0yoaLmO%XPLu3%A#^af9mQU`G>~d($H9udT-U1Lpbx`C@<_y^cC)Z-e z7QX&M15dHTxa8UBQH8jWnBU^cH)8b^$hR}cvs=4(}k`l8tsf`bxeZtGW}&Nr?F` zrYQtOdm|fl@x!H9MxMda)M4@Q)J4~hnS6-OP8W;2RRhP!oH*iKLN?VyO3^*CDTo35 zcqj}iWPvhfai6w;b9)^3^Awk^Ko{g{hKY7DETw8ufLutQ$A)D-HHUeLp7#)`t%o&< zQI|z-IkxcUGJRB1Y)&J6Sp|9Ee9OqRK_0c7k?^P6xwQi7`0Ny;(8YYOi;OhgCRcem z8|CEuD%o;kEw|~h1cvouncpp6 z_O1y94MD<%nTLGMIJbnAwTmR&f_Xdv;L}gn& zuQ+PPOmLW#=qi33i{^OcsG_r6nxMhccljCedY}t!WX-@$0)j8UV`bqy;5CSr$YW~z z&4kaX_tL}EhSeXCG@cDy5QR}2cG__ zh0uraUdSORCX@ym#b;XsLBXjgqde#E)%cpu$AS`BNx8o=yIGeu_Q4GFeoiOI0s0`DtX79q(k7OC+F% zE5x!#dr3!hVSAqITu{|5`9y)!Aa+3(Yag(*c({l5mwRtFY^_g5yt}O56)s}+5*N7N z96n#}_6Zk2*fQHF!@`(wyxi@D0-COzyf`h|Vpf2Sb07}y^l_T|5Mx1a!`nTu{A9oF zob!O82fL>u$J;-Zkhy3SINp;oiB;ZkZC>ktiWNmKd%60myT&c}uD2xQW~`|64Dh70 z#HO@`5q}k@2@lgjjcL951u2)2O$v5mxnF-%)cp~_% z@otq~&Obs^mG_8@i#Ie<3Z!E91EI@<84Y&)ji7B&mCnCd!tx9vD0RU0Cp)-(RG4pG z5sszUU#;mjLe&Kt0Ic3dGa$=U*BtN$m;D{Eg;{7N3@C6dm$Myw4i&a;nO94*}24uYZ zbH?To2xSAFsYW7#Ik9g0-hVn4m$u>wf<2zbWp_b@&VU;<;^-iZK3>D7aTrg*dYCvk ztUBM~-3~8-s)MAWQCNh2d@S@$oD??6K+AIDMXFeHWaWZ*$D;1Y6e&A>op^D{X_`Gk zq~Jff5I)>^n`Li6KZl(Cu<&Z=yTiu`ga(0CoYv2~7Wb-~MHcx~OUK0Vr40k5MYld9vXNGUkP5R0FaVJmw!lu>70{9_L7?Mbt^Hjcz2BQg}eAO0APIyhi7o zrfQ-6Q!%jlnfVBOv5_1Q`}WDdbU}Jamg;dLC&gB#JZZlvptTsDDp~qNjv-^1F=HB> zz_;K~{T$M4e3pC0sDjKZhcORRu*$ofEnCS&n4PGp7R(Z|w~hz2C}s?hSN58922W-V2sr9I317Z!hKmG=*|&EPbi9-~>Of zW8>Da6e2)%grjwKA)1+RVrKT!A{)XATdC z)?($;&&5bc{F0pW#Hy!QxrmRA2D4#`ny#=n4Fe(P7)?N|o}usjEw7kETaO3IalL-+ zs)GP1hg3H@g;c)}piUocF2@R!X4(HtH2xC8&Nr$pm9dmgK#qWL8)x%#&F9H9f0KH6 za9ne>JOw+Tte!MZU-LR%9<8Kr%Y|=@?QpqH;vwy?O4*C$t;Hagtr?~Ut;c*G7s^j8 z;lDnuxj}#Px%aBNwI)+GCYq9y$=X|)+HUGQD^r8b@r%VJrVHT@tahX!L~u6#4m}`{ zaQ}jnT^Uw&{h}uCY4&B3=C$HSdE!cy?1rW{ojyn0))mQiU)A*8a)XY@UtyhvQ`{Bx zGm&;983(#Kj%;OStwiF7EMAy?2Vh+BR4(|WHPBvM+YP$4__!0edvbG(j&fteq-75w zfz|SRXLjO?y+d`V4NUPO$_L(_)_7}ioW6?splH;l9iNc4>ZTJ()s)E9Ks_JOJrTSV z;u74hGALVn(N-ax^)WJ10#IK?#K^wp#Pb3O>wXCmt$IZES5Ff)0HN*%r+pq9a~A~e zW(81YxVz3NT6Ic#qVGuY`5w`E#eEl#WrC_4K6|%?o|A)vy^|V3eA^qC-UuEpy6bCU zbxbb4D!|IsI%`#^{j$i(^U|#8swN%JJ_JA$hW^dy)=7uMfM^rICG27MK2~)td=-)l zcOH9qo_`|5MW$0$7Mnv-5gQK&Y@8(BoDm3K%kJ}_T5Gl z1{N-ZsT2?4wBdk*@yZTgM=6!xT5ISg_W?se$zhq%d?}IV4#Wc;3(Nu}j5YJek9Lp% zIZ+q=<>#MS_82a|X_hn4rhrT>qu`hOsrGgVj+42@2AURXn*Eb6D?YX(;G+cHsi~|1 zo0su#<54;-r2ef0f)8Kz=HyOJO2<+a*%5HPDA!G&aiLWI<@|G#$8pf|xO#STeyt>< zzO&}G;D>~nTt@M3SI<}kAPZCh2vz=^Wu0L>#IYe)o5}Qj;OdHeVcv9v{y+*ELBU!X z0KD2dx}+qtMBNM4;2DFb=|Y=9q|q||gIgGDY#WouC!$fdx^neXTj0o^Hf)*1wLz+Q zvM|jzavvz!VPW6-kTqAjE>Xhrzm#P+SO#2fP!9Nt3 za7N@>6#e2q&p*T-V)n-K+XjX@n8tUmM(kybhzVJ)W%p2Qaf~@FdJM91X+Cg+#{S^W zH{~L-F8L&4q&z)3+h%g-k5_70B(1%FIYDy)c@fh(-ZDnz-37RY`c zzZsC#;gk|@c1|iQN$-^m&4Ikmlozr(GEl$H^FxG)Qc*E5Fcgwbqn1 z3pB`SFp2rk@czGE2*5sexcE^JP_BD@(>&(uByt+TQ^HD*@duNa)k|@>@#1G4`XX_0 zv|$?Ze~ub&gkxHSY=3%#HPC2sA|Jc;KB(`&uRAQ~a%y&Mjv`(H?IK%H6TsHxt#Xc| zy%bN@Wgc01m}vfWJbnJYTGv$M$)q=y`o#*OZ(;T(y^;EO0|25iRK*Ha;z1u&u95!oM*>>5=o82tJ z@E?HKm3Aftf)fpW13C{TLn_WgWS#$4k)nuy=` zvQdvC$Bh$fZ(J%F?CHoNC!xU2f~X{5EAnhYM`wu_h{Gk~P$HFjLd$1W+~9lhfgRhe zm^@MGw`=8qIy0PzqFXdMJGhZ5K&kCwkCk4x8coh>bHO&DQJ$qdY9$${ASfFFMB~Rn zFrJkVI@+|oI%V^~beAb}fX%>h#IGK~)QFRXsOey}fVe^P(gI zrhJkh2DEZ&A@Pq}9t6;7KZ6%Ryad90$bP^=pK3u z8;yZ8rAvgwNJNw`m}EVyDQmX?c{Vv;pPvwpZJDj2&Ui3bRP7N>`-sM#okFmdCEaAs zm*mVRzTQiT1gVG4BG1XO*lH@xR);a|9?bmpckLg%hw&7on;>mSfyFiEEx&$z)~D6# zhbjWRtizHVuLc^>_3SpRaCWssJY(&cl)#v-tmFu~OxZWo<{PA9llTy~VJbom!l3N5og zO>E2&m-xgRKY=Qu#nKd&%>#25HVsw3?p(0ld$lKWC#m+WoX^bY7AJ+23^b07;xBsT zV?=b=SG|Qy)MZ@OpPZ;PfX%Ni+$KI198Jwyf}MYcTOOKLxF4SrcrQPKzbJ?!WJ~}W zXo4>-{uvDixx+mZ>NvR@6u_Ed;sYmT-xIkFxhTX>#Y*sz*6(JQW?G&fK?0eshl9=D zl!bkpWM{$WQPAy|c|;63tvl{E?X&tcKuGiW>4(@&*VIbw#&J1mm5ga;kh2yx8rx{~ zc82;~+5i9=J)1#Gz!;@3?5hmG8mrn`AHb6?30H^!MIp5R^-y;0{&|SB7)}JK_9Z17 zU9O1&R8=-_!VV=$zaW2QxCKi|H=U5OMm05%#f^i53EHMN&-&EkvL=k<*hMDEOL`xN zxx5{KxPn<*;?%00>xz;4d|LZnOUx;Ll;dbQ}=Pw2eYs5hGw} z_MhApZu$Jd(>5(8T!_ckl*{2fbmjIY(J4Cd)Ux3tO(^?T2-3R$DoUeKk!_kx^Kcgb zB#Z>w0nlCcdbx?8I&JyAg%+NQrK4NUU^sp z89oWUj>1`fGX1p9Nx3GarOH@|wo)Qe4apHID;6R$_r*&osyq;tT&&_m_rH4@x223e z(lMGrv;oE>JN{#oE(qKUf6ZFIQez& zL>{OVb3?RVx0vyXe_0FoTz{nLR3%z(e#m+jCpE_!&;73PMblrUzPK8du1b1wSEU*e z8y1(vauFJ<6I&Jo!TkWxRmpH{uADG44 zvuj+~H2fMGefd^Ja5$Lpxiyro>Lz7(PtNK`<2j9r|J}=Jq5eoDn84Hx6HDGP99Y3#}iy7`C{+L?OTyL{6`T8&l8H3rQmj@Uoh-`&;?=scDb4#v`=k) zIIK&9M5z-QHu5dcyUh=U6LP<>rsQvP*xNKT(g&SnvQe#B7Ps?RAGUrmCLX?9aShkI9LXK5v&};63f}c_=u*6k`UfNY15rUHt#+kK zU0qOT=6g`Gm0Dpjm8!VmS~3shMu>x60co!LVC+3l8Q*0O7zAIs8wYkeO1UbJX^r$v z^_Q^dwue$lEkgBSDRVwOXwhu(=80XxVjkd(WJ#-xJHr=k_OGf3xqL+dRC5V<89xv(3)?gtIRs(kf1>mut>wF;9{_xkSp zxJqykv!Oc?e&F2_#hUb^<+@D6zQg%@n`*O^v&%Rp(SMj+O0C@G=*?+udjH4g+r@FB zI{Ha{&6*T(RST*4oF~4Yy8~;xE009+Df>EVUrV!3e*aE$Q>u6WLg%~<6`vta-trdX zNzKGXL{(g1GUS%v<{w)&)swDFdFT`FJ~?2*ULa}uwj{3MXJ8t6k~>59a~V}CH;~4t zF{v3aiwrtYz?r2z8mhUoNv=RF>k+^1e<1TK>c05X1rN__xu?Nfd4*ZDq=^QFqhz9oP6f#( zg^Ci>k8<7ww}-8W&m7!N$2z2-j^Qln{I$#z*u|(lF+5nH8rs(ArC^6W6ZVV$Y_12J zF4I!SxFBnByr@1N5uCnPJ`gl+K4|#!uK}1j?I~j=6zXOi<;L1&X?NdAeR0wrXQ70A+=BA3JX@!TfJ9o6eG`gcUC#GwbD-gEhF6}B*Hbkl2rzJgV%=i|hr;csJ6uz6=OS!-lJ z{%pln7Lj13dz7T_j#i2%XqtljJC&yT*T(VeYvZ)B4&lf1#`gZAvz=Q{H1Sxm5o+lt zYn+B$kh`Ee>sfAe1Dc;a!efB(ph+Q6xY2Aru{%Q^g5@d7X=DOAyP<0tr$r-^E!WI= zwzev(LHPvAo0B=Q)mwevzc@ii4cs?HY*2E4AALG>$Y5@|?r9pvnG3`!zqwCwHB62` zrkfD&bVr?x0ME~vKp9!%PZvgWo*C{yuj6?=c5CXfT`TsFfct6)xk&o6A21N(aV`qz z$)qw$L14m4eOdZ0lNIOf9hax=)tAp5#hj9u4K~;i!c=hJ2`-bo$SmV==?^)&6PAjK zVdbZn=|9qadTP=y%O4E7_|(-}cL=kV+XdXjW|dNe(K*G1(3BuC!Nf_E(c*lxADSgsa0TsD1tzfNC+()2QcDx zc@3<5LqG!HCm#gqbjk-2C9|_-2}w3ZCga_0ho$?YKRWumq~B)uq2`IvCJN0=@5W?J z8vN(Wro&neS+mV7)FBW6-e6EnW}X*t`OJK0xw?Gkyg%!;ME;`ZB*p5SIaj(gu3Txy zt7x{3UaahGZ)kUw^lrORP!IoI5)~Q_TcNql_V*FczQbB7h+GSXw!_q+#eE9EQ>Atn zMPYP5+#e7;{6XZpjRGN7P(Zl`RIkM_4AP#Wj|V97x@t;&YqHV)DqEQ9;wn7OI|VIv zv@!{QpwT&WL|mB-U-^z_xf;AyHo7cjG6nD~DSeYg1J97XBs@QMU?@8FrJd}cUqCCf zO`c;X?aRzauHXwW>*g%~&Hu6Z71mi!(gQV+@Fh3K+wF9JgV8nC-|vgr;k2u8$ee1{6a}5;^&UHj=MIqO z2Gvp>DxCrc#DtD*owaAuVKdvD;S{X4;10&rA8<&~hTjt6d*@rEXqp(%RAnw$wTQlH zvPxZ#oe2#`8JBaJ1QxOdW8L8rw9DEwBoyMON)L_%)d2L*(CY==&jV;j{W0V+--U|W z;qX*plp#&XP`$I`A>BBOX6ez6giO z<3UN=AJe6BKT{Y*%)d)u(0X+D3?Ww#de zIVD%MeTv=V)PUZeKM>?6A`{X(u2~$g#V;3yxNG3P4=_e!Ay4Y|Bf0i?seuczq=Hrcwjw91eTX^>Y>N&%WY?(;x29p z7sAjE@TE0hiOYHB-1lG%8zQA6SP;hg?>bNuA{EB-EvseVgAq3xW4aQC6)cSqy*(0l zA!NOCHtX-PCoIM=XKPaEq`sFD5~FR8JT#kxu9rZm-<1ealkPG0s0v$YgXZ!5G}LBL zE3d|0E0V2TP0p@L0L?Rzo^8#r6eeAQQK83Ys{{Rw3Z26^u<)~$K-RcAwEX;k7NZO% zcpJK@VlAUV4>rPLwdui#)1~BQ1EUg}vP#I}#+6rhiu;3k8tccfH88V`f0oNJHU-<6 z1UvrTx-#VA1@%1o;S(Hr1hzEc;j~MP4|?(0pI+q>7U3WOE~hxDHf%`e(x{a_9R;#L zzUf3m+%VEdvC2r|^u%Cn@1TJ9H%$dD>d#piOGYX(3$5-%H2pQ4CnzD{dCFCM@1rbx z84>Op|JycypPCdU_zQAvdtRLF!C_2VgEbx>hn=#}%ieaLs8*L7hKB9xwinlMi)HZL z4I(yXs5CSq1o4O-m~93^hp$|qja~|jcBPV((wwiM=nK?GGh$ZmmtdM?={n^$;>z%W zW?qP96{0kmCJ4ggT_I)r8{f3k*aU#k4CGf?X!mxUK^QQ&$nZstd`6!w;^<7lIW%Jr zP5obyl6ess&(v}KpQP!yJ8Ut>tD9;CE<>z*sIMA?`{3KI5)8(&zQ8tnt8O11?MaMP zri-m>N2t^Y#3@rK3FAMM@&%GBp#tJsVfXx?IV;$;OOi67C1gh6NSVVukXvB|R^5A( ziV(690bMZn{2Uqy>NG3f2Tz)oRrDIAy^7HEB_+2GeDp+54CLvIr<|WVQzy`ax-LWi z-F!m7#D%iisUDV7h6E}Sge`o?R$HGMrVHH#=F1aOVxO(20Dh0(7sw45gQq&ObsOcs zQq*_y%7~8u7kb;R3YR<)mNW5kCvNzxdM;4d5Ryq46v`(MvXswXnei~oAl6Rc)1ZgJ z7cwF1wQoz?UhQRH=)mbh15NA7>Ay3#^MvA(T`L` zfz5P=4@+^IP5Lo8Zkdn+w4Wi)4K&Ik+>8e?PBQ$p+S3fqAck5&Br=s!%%I zs_?2*qsdKm1ZtE(G<+@8dUMpu$@q+Hx7}>UQu70G?S>-_!vPAvc2$xG%43zDoC z)v`NY?HlE%FldRJZ0x}g$)glIGLrvQOi&#o0hlTg4hS+338VcE>y5Bmgjym0BJ@5U!-@_ls8)u_juQFxQd zfWhCWd589PP!xv%X-jQI?H(qr)1jwWgH0Zq4SzR~|Z zC*w#V2k@8{5~CKWX;{cFr<&H9bFBwyGxSud$on4fu7;X4sSEhNk9mDqt!D3OrBTy> z+rjjjIzV%cBU+{^b*>YRgbMhgN?bNo4mC#Pqa_~Ut)NI7p~l}qW*jsG#=qF-^gwY) z1`Ve~%5Mfxd79X81mit~FjUoTlLhtY@)FAiglu#{9nO*g24Je-kwT?^zX7G1o*(Ff{+qc2t5~rH04E=WQGPJ@VB}my8;DiNt7xcSk6CHd4wm zM;MLX9%^;?rAEnscmz&O3+P8kZBc;{7~!E+(xV2b)xjWQcBXA4%#Pm%%t>8Hx6965 zn=DgN0AdQ8W4W(QF^0A7DL5q+kd$o7E~Qv@p9Pp8Z&JUVc5!_whL+gnD{E}{Zvp&o z9sGh?n)L(lm8iq$7I=|X7sP?~-RK3Gm~`R{9PxZMSnsrLxsd{6<)zcYRfAR&8OdgG zQu0@F+Q}TNC=I-ZVrcdY9Gy5kOzOb+TZ{5%A_XAod1PI!y7cwTgK+L8tJ*>#afEr+ zJ9Lu&Km7(N6zcMn&)&NFSe-dT6IFs~ria;XZ(s1It2Zb)ba07U_#kimI2kCCL$%0t zmaNH_45$jsY*IJ~Dl6mWi*LI2?L16dTyN6f+X$##sLnkCOn*W^C@yZjAK1;w><;)K zMsr+%%|+d5%PWlQVm&ed5UhjK#x@J6S7eMv&uS5RCbow5nEB6{S+H!th?qVp;ENIB z1uCmT?uwCe&`Cp3fC+K3pdUpPZTz<=f{EwuljovD|9fCzY_ttEoo=HX=>r^!6?z|` z8tTXr?=YmB%?Or^=O*Rkbh}}<n=V?Ii4Z{S;0A9H3?+Kgihzp@feHr_hCTT5um`s=nXrU6k|xkq7Q+^@fM+Dd z{e+P$NkN5dR>k#uc8>gk^L=Iq_^SqbV8+iOhe;zZ=k?S+@By!ER*Eh$GMSpD_s$3R zu$aX7SrA;cMgW0Udjl=DDjWReX`;8i4B1Z;kT*LE;IlKfe+N5$O9ij!Vv4iIVpyQR z%0d`_oA+>wUAnM-L5~dVUJ4bc#m9w1h+ ze#Np~P0@zcW!%VQNeWd1y;yQ^70%gm;cx36?^vbUZPv3MGm1)L)NU>xE>6~Adt`vD zR(Z=}_bRBN_b|fkVB-g~K>^b`{6Gal{%fdZ59W}!Lj$eZaACHv1x$dNXs=R=wk((G zMd`6GdU$VhrT(&qQ2;o|Rit+Ot@7ATNp4+g!IV5&WKRQfIKafwl&*rZzVyT?4lF^f z!IfIG)&!Df^H9xofK#B)5y|bBzyDX~!7{btaF#c^2e1imFt49?PPWUDrJa=ABXyt( z!ztcN0iO4uu1b9ezT?!3KC1^oLA5V*YX6_sKgk!8*lXv)(8GCOQPuI92*vn5|DcCy zj`<&8;3+J`HdwA+8I9nR6|C<1e5Vjj5(ZgxQOSyKPCottXXJn5m~9allp| z{4=hMz|DXP{c0CKQJu?+j>EF1BHX%e^Jhe!->L`iYrnoN9K9x|S4*4DS z<(M9?8^EOgzjY1Bmo(}>v`cF-HS3NrH9Oh{lx&W)$OZiKV78&a;DD|UbHv$d$d|4IRuL;^Ba?I;LDTytvpbhxA&qSDaeo_9|+dyBHOJc$-w>^pEB4GNh8ri zE>o4qO3^v&9fD((e*muvBmjS*JS6)Uub+3Qel-F{aG?1jCA1_FRTEli(vO{KYq+LG zVe|M1-f~pym9)T$dpdyzHdIW zzJ+~UX69$SA5f#33a~WZB7KW}GFafzOXOr=Gb-ORE^VEJh3F-m?`d)*Dr6+6VC{;( zi8yhdQ7l7kVIs?k{Au*VI}e8mT&*(Fxr63209Pv=ctN;21MO#VtHNfsizx)PnAaQn zTD!8ImGdbRs#DZlcnFfJsW=49N2d^-iWO;4ErduYB+K}God((N?-kRRtsB^Wv5P1D zl0ptCl5-_HQ!Tl%z_Z1X53FLq0wjqE)w5GG{s@bRIy6~Gk)I^YT&xajc)Hmru!AW~ zX57tmmB}woRDr|<4WO2aZF+$M z82#L@f?`-qGVs%0I+5RQbJC(hlV^S~D5O3l!Q0Z!#crp0L62Nge@wRy1VZ~BL|VG| z1DjNhpU~pnRlCuzvgL^`kW{a5Hy=DdFr4o4S@LF090wY|5}|HX9ejJ8Fgenp#$AWd zHpS5L)4fHe8q zfF0Ep9*}^K8$lvUL^g=VGcZ2vw$>t2PeesZ9w2Hr(LCYl^@#K6JFB%m`|+jGX7)>C z#QQ%8Hg^Qg^Qf!`>xqzD-sr9n&vUm4rOsH^lx)jM)%DgfWi|<|Nyz{1eW|%^i%dqAt}n;KqJ#b5S3BH-^-8^L{+vwy)9byj zs28Yy`P^zX=yXA5{ya)!(GkLZqkVkk%Mk1j*@E!SBwvUQ<#xhi?E-DP)syH}P}vXT zpb<@RvA`pg#a;gvLSVu6>aS%#rT6F^cq2;4E1tcQ`TK1iOqB@CZL#nfZT9I&T&P^U z`O>7f8})Oxa6FsOlV10BMLwwESdsJzR8PnkU^`a?$b_YoK%qm7va$-%OGp01trU*s z_o^{F*uR2Uk_Jbh^o@7L47j-QzZ9`_%w{`3E*J}*t-c4;W1v4$`G5lMiLf@HM@rp32W}d z4lqL`rDUU3ksAJaxwEcKXTmiJi2o#YYk+B2RB&(%#!~g%%XOl#>3+F3w4(5vW@io^ zZH0scx_xsS(xTCuatHP-kQG(QLLM>D)vZo^dpoaRtJPgSZ@i~|LlplP8Vma-Q__Xk zD(sbu#=zK;{C70(Unzcp&qOE77UJg0TG`ErK$h0ta-|N_!XCWZAPDtSi0qoYVpzI{ zd_20Q@fnEhQ@IzA?yWOqK%-uV*c@&SZ%vHV(bcR32_((MrvM}6V9EcWQo#qKS+1iQ zhVwjMO`Pa?4l}o(0g2Q4wcoCvtndRlp``K#HYSS!K6Z_ENctfy=WE#M*6+=1o5*V{BYK{_K(; z4$Xee*g{ju&k@c0bBpk)ZDfMgH5XQpzez57+MdV{n|J2d*87|)3%>>%0nb?8vCRBH zl~Qo@2eaHF-*%y}T#2mW{4^i%A9PiO4iGJr(W^H`3Y|zxx_hgUxv0HEVFvIDUC{UF zCekC%bjcL6K046!z>kDs>LORESIlYGdHU`^ONUI#g0n;9P;OB%C}>7gH5~{m`q+zW zn$3; zS2aO0LBh|vY1<=wBWei9O3FG5b{4}XVp}aTZXAxh|URmr5ET*|3({Z|VSM z`mXW|ZOpnUWE$BwW$TIrHCPt20V#p)IvrV zFHjVM;zo8<{E&3_!ALjijxP?;BZr4_^U{1%Cai1b+ zB>|Kex%SgE2vp{&H&Dnmj}1CXf(n)1?~9$dHQ+ZfN-;l=_rhA(6g?ZCp&N||Ek~bz zs*ud`$voD_N`aQ{SLo%P`dLYc!hgpUfa`z9Z{o@9_?bcA+Xg$8r%Dr=BhlbIRh#jy z?0```C?6mmg%7LY@GcBo<^w7_1JQBUFMx5;ud#1PwU z3!+8a4G}w(uSuBf70PY!#I27yYBd8m^8aDc0O7E>Lcyyp?sI+MkYX_g^LaxV0b zQjL3zN{r<3C3t1<3G)u`jVwR0+7<`ugCUUPqB*QC8q1iWgrXD!0H}P+1l5Ig{ogvi0Wr5NlaXo)Qoz9GN@a6{#DXZ{=B-EanXKzEB**qx zR+p@%ZOQH-omalOs_D{%jfuYkWi@k*NaCYh9@#HN{7GsII%H- z)c2!TW@&&|R0E3f+VRiXh~65U?%vB(x_%c0Bz)YN#9kb5S?y}ssF`S7w-bEL z!`yiOJz=<5CV(#LkL)G=zz*;1d+)R%Dkqg!KvXhy>Z zu-L9wV&XRlB5&)z#Bw_lGxOtvPu!IPff)DWw^sCA2&Yk@lGw7Q1d#<=9wBrw{ zUghEiiayj6kH5kU2e^V6Y>obINY2oa6C8Yl$iU^p$t%i_oM=WYu)^rkxj9GQuulIB z{E1I_w3TbfrFvmqyDsFH0<|P{7=MVD4m-Bl^+wzul`m?!L5d;ZK*KA~CQ+ zi;TxmWJMAV8#DKLwAJjVe}Sna-$*(Rvdxg?8?)0(40*$-0u7w>-+T-CQU2!jh4|0y z6qSQQ#4E!?bK=J*LKo!U?^NB59p^8pKV7@9kH>R?(}wM=eIL7ImHrt-)3UnU3-UF- zc48F+uXjm_lmL1+1iG{&2l!_SC^RWE-r)R@v3^}iWd+riYiG~A{}e>dRwO1Ubv`~iWcYqd|CQkD zV%d-7j5Z9C0B$}qpPViW=IXb(Z*X`F>!e}GBttY?F>o!T3-#~^V>|O0z^G;S<5=Gv z^}lUtlDJT54SF_igXf#hXRQu&6@lGVF(cnTC8OCf*LerWjjBRUOqg&i#KQdkUz#s!OUji!3yW!_nYKO>$xVu zixETLP8GDCI?Rksg2-na&BP-&ni1W3ASeXCV3sNvQ-94@aup{~Smf0_d^BOG;{pKP zDd=|sJ^bRUm-?G|gI(3hux`|G154*pT)!EEqur3Gm*$8~<=-w8I%1BNQeKf(1ZTOB zxtPg)MxPZ*K%xZ#y%B*=tYyEmZs}M)Dgy6g)>y?Cj*ZwnD&{j|yNAo$U;?6l z;A{bSqf+)#wGnoSm~1~<1PPGgxKUydplk*I%IQ%t^4bhSa0oy}52SOJ zb=2^Uzlv1=$w?T1;4l>9qaU{8`b}RZ<8M5sHd|n>qVa$ZCGCjOGM@s0(ERs;pV~V8 zbnzizL<&^a1?mvdS5TNeAZ=LRHeS=KL_o0%$S#X}EZni7yjM_{_F0n*PWb-*?B{2G zpZHLmmUZ3hul96A|F;u=%PLgM<(K)&N3; zxhHzuQ$4D&tlrnkSR;Sqz>p)Uyfn4R+TH$e;uw;>+sN!|CNU4lgz25d{gpz0$+YJ} zk6V|i6q(YMk8es2*=vl}9q2$I`;kAxOJ3^WtSak~;ve78%#(+KXa)n7kIv93k4{TNjEq4`wQ0pluZpX0RnQ@hHfzlokIzUc%oyC17 zy(Coo)K1xP;a88e^q;4(*nGW=mbJGH6v3nL+y}un-Q}1m9Vr?u$O=tegYtFl!Dv^t zDm^&u6<#R5&$?a2B>ry{)op<*HsV%J&&W~Er|ov)qJD<-kSFgA5 zj~4$sIFKiXs>AQhWZ40xZ{JqlbFewbN}8pgiOh^bkUTnuX(`^|j!gf{?76*qgfmg~mU6N$aL zX3?+GFyPt_o|_WIP@x3Xy3Z&SMR38~00IR6Xu-=_ z^N)mFA;n0~4RgAK<@r6oF%(ndNoMOd_XRQu%v4L?nzZBa*@5Z?tsLZK*E{+b{t&Y% zGWREekAVjV!I)Lfitm+9AGh7Z215@R#i18URWh&0MSjBVBo&KxB1^aSedkw?LKi>3 z5^+JtcH?@M;c=T`o8J*egB+$D$gDGB5vEP$9Rb2gtkk|Y`4p}1=W$c;h)?qbAN{lH zXTOhg2@on78lmdg4&d#`+sVX9IZ;P8TX6bI6!QaZ5osb~Peub;KpL!&=Q2Y{Ljpxs zgiC0CzWcf=n8Bl?o!)2m4F`nqa0CHZ2xtjfF`nl5Q5dv8$#QBdDgAa+Tf3I%H7TEE z1GQIDAhFV7Y)57;)p|zUF^t@&kkeWwgX~s@%g~)5U2cc4CS9Ex?_OveM@ft|6ocLl zHy`h9PGaZ1o*esg9xVa`XkcD3c{?wpAazrh_SPphY>DhQx1N48L?GS3%vv+*O zBI&EtD=F!QYp|Cg6`F1Dku|pC6_UK9kmk`4$#IL+--!{4YF8`1NbfZ7kg`trBrVnK z)x80W^f;0h(*a(oG!VMN!Z5_r%E9IsFtNl6B+0L%8r}ofh^6GGWsZPC|3ZF%`wA&x z%I!79-5`jpqy+z#rdHX`D!m)`!W%5_evV=9z3(8}F0Vv_n5=z`?wxhhGH*yl2ypzB zL*<*QfAOOQQ$6l~M9*Hk@W8^qJHRoj_vuaXX9Wqe zxMQ5~Gclhl?#GKe=4Jb#NQ>x!4Y%E8ez$uH#>g?BZKh3S+9F>DB>R(=5~?!S=)i8P>0M&cw!Ip(SF&gPv? zWH(SY*T`?%CIdDcKix=~t1~ELWPw(5QphRXb&okyl@{OtoVM91O*GaLHqlJ{DMy%i zja%VayUn0d&(gr9R>=LssmY;CRLIu@pO8*GOrKu--VChZ14*>KvXx;a0f`7=EoIXG z+&Af&K(Zf=2}gjYEli9xZ&qf}Yh%%Vux=j5$!;N&g)C4QtxY3r*5W%+$Ojz}0#0>; zo7Y(^N8-nTioR-0^8Id{g;{Z)Mi_?JRvo=kx>sS@mSD>K4=r}QWwx!nEPBVBTYkqv z|9oz8xKD-i=yuG4=0)Ugn>Z{NlSu2CMD$a~M=>r2yjax`p9BGDr*~TLZJF35H&3B2 zxf<4Juy0!xPW8QIsCxlMWdepWZ@@8x6IDaM@Z?N^bv;$sCi^O2pKQxJn&yvH!(ehc zS3OtyNFgWTT=S;#R@ZGSSv6Yfhf() z67L~>BsiaO6l+k$CeYUbTMs0^iE-mo2Lj%%i{s+`U$m1}7%3GW?Z}_yLA*#Us|!K> z!|cfqv8cxYgDeYPU882^+b*|6Wuik*=RD2wL_ykJA2AZ519>$mKV__V73NEPt7VPWeUpbQfg0a~Bw?lM= z4Nr6*rl$%1>L}0DUiP?I&x7w#2}#`pZdxVi>~JlRaRjs)5vS<@!{a&rIuPFm`ZoFN zHM8_Ab%DTVOR#t;A965HX;@1S;^_}%Eoj-B83Bn?9Gj=ey57bX1egFgIl=%cLq%G8^`fX;$&K<-gJTT+J%OFQ6?A{?L)$n2Dd01xcRlwSIk0)G$LwSJvX=yF)5(0f zR)KK3kRQxAAja|(`{7S#YW1Fzig+CJRe))GC%Z|2RU0YO0w7f4~{R= zX4*z~R(eqbxH{%yKpd6lc!+xY^?1A*3;#%^2 zg~;TP<=EKX&o5x;pFui$Cu!~^KC>m(T(bxP&ok>X3KbfiM6)mJviM9?ea*wpyB=6& zh7v71wtoDXb4fn-z2_`;olObqO8}Pk_b3RUWl)^Xm}>{vVaf~(PAB?Omx61@`A>(y z2xh)#4ynT~{c?e`Ml+E<4566AYa*Mnv|V0`BjiPSBujvln=K_qcA`N~7+MT^?4f0+ z+~ZZeHA!rClUIaTucB=OC3qenKEYFMZ@J_gWZ3-`lCa~e(`+RWs$krfoAD17{T0n~ zd$K~AJv!}i0PmK?7{5&V%kokG@OQh7YIXKTyBUsiK0yTW&jRR-sg}VZr^S#CqJ(I% z8^e{mEYyuU+#4T|l)V^Cp6JCKyWXB0rJ8_$KLe8pJWRVRzM%*8 zoh0-&UfH9c2~Sv30W%DMV>uMxEW^R$&T5(MjD<8lLiHz{%no|s$?3dE$eWYdN3)hO zTg?5ZOYhL|7b=Dz3rS7vK$Tet86Tip8AWWLG9Z8gfyf z_Dz}G!=SoNw#TA2b7}hxjeaHa4463iOTm+?)-WFj>rVRHC))UV&V>sD4p-@%WE6$A zSa>9@a>zolqmW;p?ja-lqV@!l8ydcXi|zYuUGhjctt6}I6!Ry-m2|~@ zK$r7TTH;9__}Pb=kyky=F@$M7 z+TwK-2FR^SETn+`1LKjyrs5?PV~=6BAec;|w-1F%typ0#g+ znGIO?B_-f1zsM&qmC^=TbKOBU1i)@=AY{8m0AcQ`?9e8xI)-?CUt~uuiNU~#IQ!Rc=jl>sF0RZ2{qN;OLQL?-t;fMA&T^sdaD&$e4#2v_c$g=UR< znOYnl{g7j|hM~ud_M`8BqVd|-hkFZ47d4Em`KE8ne+2kEdUMa12j?8TOArzGbBDjj z5QI!&CvHm_XU=+Ia_zQvsfi1@iX#)>e8?S|^^B&#c`NgeN9)3ck3S8Jp>D1+ks#To zf$6pojawn&tJz?}3Kfnb6gbvvmg1vITVO?4dJdS0NKytf|nzQXnEH=Q^3e7i{2`#k~|7IHiBhM`OWE zCkQ24IHO6-u1JZJX?0m3$2Ovh8_x>ME=NMR5 z*LCg2#))k;c4OPNjmEa^q_G;?wr$&K?4&W?)BE|pzvt&(d#^L+9M>3=(aV3t=~KNI zh~s5f`&;_uIPudn7OEuYd?M|>^?1QCj<L@u7( zjC3U78<-H~G~IHoM@D9v>VkT{JDsO4G5@V!V$1Q-YFnzA&S1?~39s)xF%gDNmaHi` z--u|ZBiJ0~jG&xKKR5$KCO$Kgy9fDxnAi?@8H?`&MKkc2O8x(oHv2dMjxD&;E^D`o z)P%|l-ZXZ%y0;keQqu;p1eVmpyc32m4+wt0SI5CBU9Y+HZZOgfw~N48qaousPmnzEglWlV|umk=e{ z9F`+U_cH}SMzoN)RGHHhY1eTJ)2JO$q4ZTDf41u&0ohXbEQWn#o!1~`>_BI}fiSpl z5v|n+h3!~sRCZ|~`0}oG=*I^-T*9aEtRIAV2h3fg#7i*$XaQnUqDCcc43LJe)OZA3 zm`!$`SZ6UejngjebJ6s8X?V zKSUD9`*`OSf7WF0I{ck7SUaoMwB+yZfFt-ub_1px|2rPGF^PGk%;!5g-a@@*Fo1-? z_q<^*LA_n)zUTNeV55cy2{YG&`UoC(-&@buBz|IhT?Sa6qQvxm3PaU7P7I46X&ZD> zV`B$U>pKL8-+y(%85|=O$#>hAt7b(Ta$R0jlz=iY-ajL7A*FSlLN~)^=?pgQl^}P}lf-^b1zBGa=0-5G zo~UvtX&~TCqV-f#y})k}$H$Fq0fWgJ%cd9n7X_JC?^>Tz>OhGC5j6{F86j3S?{p(9&@7a^=!e$ZR|o+Qif`=9kq0 zsT17L@hJ4-=*>wZl2nei_PE2)MG#}Xbldr7rH3$b3oTXsKajZ>2{f77Y&Svh2gV7t z(UG6mSq$jJJ%&u$Fzp6(3N7Hib8736J4Ii-4#?B&B_lm6q4kN_9Txc^!r~%F&JJnv zL}`&l)B=x_5b5KyT?D?!_}@2!2QBeUHFzbpGVY@iYs4(8dZ|oYT}|q(p{2fmS9w)J zXz$i`RMd}#=NTpIWsk7;#}g=OZi&HVvwx6KeRR~gNVsmJxLh$91pzAJyS^S$IG8wY z*e`scst{Cc2|&W8yUkkMWVsJpX94AQU6WsgfWS8AlA$sQqUo&MO*`M~PH+D8J4D(a zuEk2s$;*QPZi;@LPmsUD>r6ySq)aN3a{j^Sl!aKVU^#`=3s}3LdL<|(WbZ;+fuQH6 znr@DPx+YiG{PB&VZ+34@+LAAGEN0w;~@jA@h^Tm+L>YjS6; zBbpJw#fVGCu+sB}f<}I1g;SO=cpo#6Ok~a@)&Rcfi zuv|tNs-0YGs&vWp&@_@C`*ap2Ja<5%G%QjJoCz8ZZpbrXPaQ;(ZLPt?)FuKOFoTvE%H#7O_WSkVd#y0SOj{3q$^ zA0$#&1A;cCRVM9;Vzo2+_>uf!^fUoWco6pH2Ge zKZ8=dKBy0zo6hZXvgP}BpJ}kFR1hV8w?ii(=Nl1C`@xLEnf^j*5K7{FJMd45j{EFx zFJuZ|IY7h$n9BQ)b*)1eVTt~6coz5sXkMCFHIMd8PSsQ*ghWMTa$05lSo+%E2_a2>N%Nh$ik{Cg6!G0j8RFM7G`o52rvuX9zg!PJxu z>_C3egEP<55alx7By15rTw@ZiL>wk3iV(xS;rPF}!0al$12+eA=FcL5ry&0~hCuXsiI<3glPK6CZ z9LZH>sU^u2?zVC@M1`m^VPeA@NFHJu7?1QjRC_@d=C%73y31g8dcY+RO^&tk9>Yw` ze_To?yh3?H7~jRT-QfDGP$GtTcB8)v1Fvf-JkWfG#D<|A+w5U~iDPSt^d)AdC1P7M z;&r8bUJ_4C7)BV2#$Hz?{UJ=~D@*mg_e~EAldT>nkz78fQFVC|-G%o>gxE!Eq=j?f zrsMOI4iwAFWzk-~eRR5K!m^s3KSEO!4@n4I0Ad9zLGZ@IbyTJLjVw;8U(+^O|M@APb)>_-~pzY%Ojhpc{Sx)bK2>8lY$37?XBJp zZb$Cv#oJh)((!`)o*|(|ldArQVCjR~7CefU+N@_p?C{_5JQ6-%zSg@D>VuMMTwjfd zY9u`mS$dEpDTey)p7tp=JQwzhS~M|Jw@yeA@Gt4B8T|TwM*VN}P6EDcvk~|=-5XoJ zUbVPcCrY>BprRj{X{*0JyRsEysNn;u6pdx?equ+iWr*6vNLvIdHFk-$o?Gt*yuT)QZWJtua5#vX=~cN?FoR3 zA{yLjOLvX*=yBlr!JVk0k&lToB_^K{a4_8sn4{*!qpoAn7dAbs8mzBM=e~W&Bpk6S zKL3Xc3;~eC`fE>5B=iMt`zM0K`(eNkE3vA;PLb1)DFZFBZ`ixYRjHfeF4U<-~evkbn}}(fmq8Cy5&&^?17f_rSqT$!6V& zSe*+@2H8~b+0V&?03ts_HTBjtVos=e>~QmMy*Hl+OVKKWw1nEvPuP;nrSsp8T4^+F z*6>3Y)g3e+F;+Fb<;G#9ex}$o9^Q+GQ0IiEjI0055tph0%Xzgt*pCvhwf#H~Q?aV3 zE0q>h0Ix6WO6X$X3W@yvD;=M=A&)8nZ7X3y?(EzXc1P|F+q&7-bxRNTKPMh?q(FgZ z)9tSA<1DTU@nB`eF^ti`{Fgs zev*MOi2;?(N}rOnnL>0I3M9}A&#cHu)Pfh7HGP1k+<{>X?k+ehvux!39#}&E)HX!w z|Dq4c5cBa-s*DG4UbF&q*f48JxWIu8JtkQLHT~RLIu%n03BnGv8GM3BKSF{~Z4D5| zSY7{}KhwQ%VLgM&VLg4hP9ynnE+U?5svJx7;!bMeD!qBnK$GxQUo&~_wO+541lP_V z57OjlXT_smZ~piC!6(!1OdSkxuJ0_HHAtP#(lQ(MfAF-}fhBJ*opI^H-^iNX>6)Yj zq62le&qsKwK8$(GjH{N9^}!{~JdlrDfI)V5O^Y;P$3hOS_( z&5E4*Wn}pr=a#48=Q=vj3+yrZeN_50UU6rSFm(sHp^E)~fe0v|VDjeyJ$x^o0ZT|9 zPqM6~%29zAG_aL4!Ql`&ipfGB=}ygzq;o{}AXuX#U+u0B@a zG}>H^gVp?Jqy9A+0??p|yfm>ST>h8KLz6svE=H7J`pk?*My3{0q^g0WSbr@REyZ*=fq+gM;_QB7xa?gOqiKNIA|7BQ z4m?<7bS17T^Gd-goqh$<{o^A#&j)Dh9uLtILOeFKVwUV(GDgp~^x>+>twg4Zv;s(S zA=8CH2z&VH4RFN{W^5u**BOZf;y2kKBCglRQhAXpnI|WBd24xa-*V1`0`wHR0y#Om9+6;hX2&dhjyt>}L1g2+tR$7(P&0qdtjV>V}zkNm5N7 zxmO_JjND~pK2W)27A{0#5kyO%UW(12m78C@8Dtx2ru>QJ7i4j~O&$&+M2$uwVB`S> zY0oVs`|hs4?l_~sCSxu~*J6ajkcg{(TII0c<-W!?&=2Zwdq8wNnv84~iJq$)pANfN zZ2fkaY+nCgxPk<9=il5nhl7tvWDN6T0Jr@O@;|=DgCFkw(pRSgbRx0q_s=!v=Z7J2 z`-^W}lSUdX_jW_^lvm=%k2WODXo^pHHN2sD{Bpew!hA(H-f98OwvDo|&Qj7W=u7`U z3!o072Y(4IGfl4KnTSZUWZwj^9wh5D*1#9A)-V9pmk{4&@70ZNk(z?2T*TM5Y6lDL zqh>9_^<9aY?6=4#<1xdG-&pg8B<}p=l>ld4=c(NCNkj{%I1==%L_Fm9gBSRtG<`uj z&{bFQqsTZc)=RHsD(A9xBUMp82n{9d4|eOf47r}xuY^kNyybG~$cpL}2j9alxpt?B zD|QDmf+y~@zbpo+zJ4ZzTh}pL(*j%OKL$2AKufnLvuz_d%(Su*S@V>SqO>KV*oHnJ z@3mlKmJihf*pfi@5{@~m)I0%vFtf@@5=-{EMNOK9TQlT=&1`hN= zwb^Q;AylYV%1Bl5RsZ1qiDL))KNV{*Kwu@-#$kZmdDNpeW2wT^B73!%tzzgXH<@TA z2+i2d_&D1arQ7GgA^1vJYpve>X4-laKFg5hhne!*nNYa?>@PIw0u6!%|Ci6S}@tF7_ z$e1Cd?E*h-!#B`!krNp$;z>`j17T8A-d_871k;3KDbXMx0V!1WNP>uUJ9M9SdeI7I zA>+R1?Vcct(E2Vckkh*~j|M6#5C~&yW4$c5Sfe;$b5COF=Gbv?vsPF)x~a?P z#px{6L#w-MQL+q4>Hg6}lB}TwLL*7wF$_!C;faC@-+WBx@OPy;8$o)7%mU{b=9p_Mx8@2>%BDCPcMtPL$oaED@f#sCCXu?WNqR-%0V0bGG4r z=(@6t^ztMoOG^(3yXi-X>$y`ZC3#OYJRQzpqzZ@~O>d=1%O+NBxEVRc&HG;^(EiFhjaO14!ZE3zjwHP@s&j$% zjS?geuq~@&Ml$<|&?B$pZBDVX5y6>)eWsyr!3Q;n9DdZ0oZx|(;~RR7N~z@t_<2e+ zjmkp2b(E;Tf0unkXf~6~pA{*QxOV`$qjoFOKlrWO9w4WEDPC9!4$FSQ#h^Na#IplpqAOUEy-+owYitq?q?7XPN)y?)7#iuT)6!V14`Gm*{E;-hBK4(R^Ol z!_M#tJ?ghZf$;pLQ{_$?KVi@%&PCaFylUpGg;@*<4#wd+q;W>p^{v5L){!w)APzjU z2!~?v(6=FT44!j4Ywaa8;Sh=f0w^FrB$7x}Sd^*;UbQe&3CXfhSU$6t?Pflc{CwIl zv}*osi;?|OX22F3m>|$QnA$ld)>vD}HCN!@(Gt^YXLCj%{L_vUojfiXipBe=vC^Ko zZ=K|Coavvr+W>O`24gycVJWTc4)R)zEQ@_Zc$^~203Fv^ii~R;qGoOQcIdC4FV7hT0+@nrr1DtRn33l3E5P)rkSvH)evUif;ft}%t=QOznvd&~xuTgdqf9|~fp&Ps@S|NJ% zvGWOH_F}Ok=+}{^iZLO^bTjpP$%CO#%pS-C-RLkWZ$DtXV^-BM6)u?!S>~xzgm8EB zFvvu0^QdKmMzHOz2WuYjleL_Qls)v*9*Pd98X*(>#B#dT3pFD zVP`vV6mb8w0^`I)`@1C{R|M~W$5wQK*pHhLTm=wG;~~IzCdFBdIVy#V_B^>U?7Sa> zj()dP zZT|h`YY28|nO<%5LtrFM0r)Vb5LBXp3r~n1G)q>|OJi0eXg!Vt!Rci>8YEv7!lKE5 zOR>n9QHJmk1AenJ6J$G{I6&FI4uFIy2eL@nToEfZ@jyvmCI~T=RRcx92Co)A8p#JEOl66zw!xHR~k6X$|vYgIUoJp)UEkuVqnbF0u(Pu7%QzV|4R=L zAo|wc=zL6sS}8Vt2+@G0QF7$1U~dS8gx|k@sjbtvNb!&L*+gzVtPZok@INPRR8sl? zVi@N?~?vEpbmRh5 z_^$%eC^RgNG?U}Rn~;@jXq{K~hGfZu{Q=s)jv`Kj-NG_QzQge6$l@}EOrmcgzsw)! z-AJ3lJ9R$&Bq7vdRZz((88JN$+KWp8jC-GU7=H_$-?ovFUyG;iyZ#!YXWOj4v|IqA zQ@ff{ymEDn$xbqxwzYQ{t7J7HmxU+8CEOQKCCy#91=dS$hR-v>12nUb*Mixl9~uv} za4Rz60xy&_cU1tM+p~7~l`5dJz9BO_(n_SYL@)^A*%zPbM0Vqc0v?whaIvLHhmidI z9?5D$DL+YiPr`{pXEdFSpGOd@x-&ig_H|Q9%OeW36y;8*LN#=g6rS10XIML_9pM~; z{cRv!`Z!x$APh#BOPkNgUW0?H6~~Uwv}Pvog6Rc-KVE$^^ErV*T*z-Jh>Ledh`N}n zP0|a&e*?eX%jBJ^6F2}OJUaK}_9G_1+#QftUU;XoTmyPfu*YSGUeQW1z=)5=nTVdS zZ_W0fiaK+aT)Z*jpi;+*hDSBLpH{urFj2VCugy!Ip z%0Od}|C6Cjy*x$pcEjVeX9n(+#lANQsCicM5` z-mE45R%=w0W5d@K*_n;5?Ucs4;VBn6s{(js+8V8*B~u1aL|b(k`1OI*V)OWa`Dt_)8uPU3!kt~w+3m$b3uC$ zH*k6a<|Wzh)RWrgy;6U}aSi`CZ_6`a?<;hHBmFshi~9mslV98or>T{aBb~CM`y82% z>{eYCljk#w2q5G*ntj}lrlcaU3x4|5>gqy7(`b25aSZJs5L>to8)&5mf$3>8f zZlRbzPEgj)tIta^{SHk~i z$p_@`0mjBzG#n0!z-|XR}!Hby` zaF4qNRjfrKD>wY95qt~k60IvY3CSc#b_yUw!7(MP<9ln=E0mBpj&x$L7qTgFbT4PZ z%C-m3Q|_Bu-rNZ>&x$@AeI5auV?VU;_(f8MuWVefe%~3y@{PQvmn9vNz`&zhbE&2f zxCZq#q33T~f-qEo(Mgn7|RiA^i! zH3RK`&L*p8 zAVS6X9mjTr5Aj0l+Efiy;^>Da8F30)mbLQa9q3pgTztg*NxUXn^i+8 z4Y>g+=++7%gqmz{`XfapIJ9>f{>!(?z#9JrLPQ0Z7cA0G`c8A^RpVDa@V6suU@VNI z-1{BQ>4v-h9hQni7k~kQd{(s^cJ{?8ax>0tM>$724jT)49Ad$~i6y_SpHLI1t))U;NzkxfBJg zglW%x9ojzozAu7SLbP@x1jGDksRVx^bHOTFlkcgVmUNY;+)1G?M9MKlE|n^5g);VA{~4ju1X?O2 zY*v%3pM5g$C2c`7QVW}W z8g2mr9Fl6VKp;b~^gk>@R%-q}^dB*B9#pLV(G9~3RKon(RyI4=cTTV#2 zBnn$rJQG}k-j{SY3t*FCP~bGAVj9}SQJoUAhm$j78`HkEPv8!J2LA!1pBX+ zt{70YuP^*trx%2zWJnBhY@&%6Qd9ze#OB%lMF%~#qFC~63ac>r+>d9Nnxo^FZz>pP zj+jH%^L}G2dGnQ-3fCTff-Uwr-1b-3nLYkms4h3U*)aDagU4dSbXcZkyA>&-_uOK< zmq;b-@NbYJt3lfguq4<3Kziz=etCRnnu5OMd^njEIF#7<6)WP$)hK%C|<%IR63ttj`3# zDS0Ec-L+nSN<(^g?0DEXXSby~TMGII2{n;Fao&h5&-HF^I3|BWIoh`1F^XheI#ys} zL@ZHUlat}K0obx^#`Y7e=hFuc>b@nxD<1Ql2RGYZQ}vJS_?Ggv-d+y^uwC01C2j$H zDNfBw9;^pJ0_0My{@G+oFtXuErn&~O+tGl`FxDet3r(xD{YyY7=V_A{TIKAbZdwymOzLI0JMRZG7*#!QGxbB z7dBWOZrXaEJ{si8;zgy?q`03by31CmIb$Aj+Mg)w$x5{p0(*H$K>>?W40?Th*NYu} zH$@G)gxZ)O41y&x@8RiY89VHQd?@A{RxaLwRZLR9{*wrn{>nMgf2IIt=%1S4lV-@u zc=xv%CT6gv^QT|no?Bp)+6_`4-yjl9U?Y`DHpQ1=5E5@v;krN??z4NP_|48+IKjj? zMo@n$E!AzQ2vz5v#X>tt9#}Lb9MCZC!%I^C3dReAzQ1otvr8fQT)*K+JEDYQ=KDYZ z@32?}9EXNQ!t!sBq_zR1>em@&;0mX6YTxpAB&di*F{f0P&bGK{p*p&n`-)XdH z_kaF9U4&;r)&12EedG5_%Ry8Cv?Ebwckbs$Y$q*QA20b5SY2)_q0eJExEaamU9 zr>zseKnFY4QTRo*hx`)u??Zn3du_;~{+g2kkh^ip4QsQ(o7_^?B)?;w-2>&~pqizQ zHG=VUXM)L+@E2v~74`r7jv0_CetRt~aPB)fdfW2%z*S(x(Q#ATM-M-{I99NSHW`sz33L z>fKI|&rhw#`?4!1a|K1-*n|8E&1vF!X*YO2h|Q>;5U-BTIpSn1mq7pnv)_N!#o>!viBtj`Ni*ha_*kCS^QwOUnC*wy1GO$4jNgl=Qy!iVc<{ z+1_!?DN?^@j|Be=zH9Plnxs9B#?wbKOAj|#k-eW4&cuKMhvi|z)KI{CB)N53?3LJO zqI)DQPL>_e1!EB6{B*GnOE3F)Z^<>sYon9k6BM@qB&tFt|g#VtEC>+bY`0|ollRl@?T02Q2=zfGC7>tj+~z{ta-bF z@`J}WizUilTsl=km>S(w%pGSeGpUT&R5IF3l|am70N?HfdVGB)8t1ZYZ&}+!mn+?> z@0oUQu}5VkmC$%>U;`{|LiDy)m4SRKxl&Zx#8mrtG(CJw`;(!c+5V71BNPv$C7Z`< z9w;{FYSiLnzo|f5`qb)Ne=Cu@r$=3z(K!IFoc?ug5{lsNGiaCa4zXTLFu&M&mZg!@ zZ7y?cdJj_#DS58TeFDTP2hm<>vnCIVL?A_*X@iv^)D40XFtH+wa6M9PG!OtDgN)V^ zx8L)xj`sT)o3uhLk&OXhBtm^A;=D@EOFsEM^QVs2GlICs_4DLRGu%uHkzE<8l43dd zU08pwFB*Rg9MHpXTuwhRXDlpFzUh3Yu1o`QV$ozPbe*}i{-+a(^Hx`Cp0&OOdcre+aB=O$h^T1r7bY^EnidCRVw9PAgsdSju zhH&{bP0jtJ+M4vS^GTm!e^;>RF$y}q8ko$43z7$(H!T)`36pwn&oTD)&L(h4#85o; z8wMsPio=$Q$m)A(1~h8KLxwBT_-o}AbdIok2jcPCi^aEj;vq}ddr+7E(4ru)27da@4`YFmMN7Da%i(Xj(NC6`Cx&XDXvl>~=!Pj5s&PCw z)4Q6upm>iE&4qBl*jOzlC7C!XO{@!$`E48RBO53jrimVzK3E&OpkPbcKFf~7x4^zN zMpOKLW<(@bRtjs!{JiCf2bJ{ex}Pa;_QfXS$r;6>6W;2{1OuNg zBQ?TGdj&eUd&WYC>{~XZm`<)xQO#cZNN#xSRHr#CJoaCFz84QxM9ffoljwnZo0V8B zI?#$Hqd|0;bqRokCHQy>UC_kLRpu-w0hc$&PjvAp3Ird!pg6By$p^J($a zd)wiG83dRHHB58}&^)AgQ6{J@GXOCW-tL;V!3gi359ksO6!?<7QHmu#*J#LHIin0! zTPeTM^oN~LGetlG&T169YemiN_#Wfg#uk5fA#P9SO%4PZD5|2!|hj z`LAav*$ZeCyoAb)hTJ12%R`T!G}uG>I|CQzcr!jeZpdLuGu-LKA9OMs4g1AE0gBok zyVkqB^TQEAvMfHb z@VegwL3!$+AsjqXDZ*$H4r`sA7BugtLq;&NKd?1k7#Rr;t6F|4H-ieswWHvejhvKWEmNAGZWW0c(+@P_~?KnO&anr1@46Tg87UF(*!iYkHt(9yg`B8{%MX10C3YH~H| zo*vhR0;SNAi>O3BYe0lxK0c4L<7?Nl*RmVZx6-G!?|I_4xLdkexSfuFJ@pbTcVa3& zH5{Cqq4Ec@SMTbO-trFY!H{i{*bXn7y{VI=G;&O9b7)vufmt5s>-W_3L#B z&2h|x*n1lll_cCn`9Fd5{=uvus)Fxv*^J9WONCAp9$-9A7I=gD^Zvl_2ax-_TqvhB zXq9m)7BUAG*X3{H49A^KWu^9ngcH2+FFI>XI~$Rfqgq60K=AER&TD8c@yq=|w&45a z4ZLvUOn`ditHNjmTQh>8Rt4Uzf`D<_Cp#Tsm*MJL_l-6lmHqmD$FlV?ST~043ZGcFr~&pfIQ+*(!*a}^qo#}**ZBP=GiRe=FCp)dtyEN< zn#4U1y%R_PI09@l#Krs5KHZ&Jn-1T696Uj#^rRBfJFqWD3-0U|Yf#?0dpJ+aWATTF z=`YP(!sF|f%h!a*1-L5q?aHZQOm@A~xKNEb(iDn#{6J&!bjS~E5^>r+c=oR9h&bDy zi%BAx8mE@gq#bp%etyyQ6rwYy^sZDIEom`;KsUclyUKTb0_u}z&fn@Yd)gwF?H}2+9wvjj0fU)Kb>oNQysw?e_AKE&6Zxh$rkB(-u7z*GKsb+s(w`=aq6pn)qOuN zgNB{sB@51MxJ4B9-b74eFekmpK$$m`F-8<`CYG&oGxNthC4(AY(C<6{6-LSr)hR^# z2CWS)3D!z8pAmw=&YZ3MRZ`6+PMMrVETDYHj)5+}{>}!C1)c@?b~(NNGCgt`t6~!3 z2QeM@r|5=f(YxDDDuk3zHOv^*Jb1M>>lYefB?zpIg6S(ULPuh3kdid1kp1h55otW7 zbg;6}9}YbI`(wZ@Cv5QU4-o2QytgNj5l&m94@_JtQt$+YwN3S@VnA3vhJ8*>FIiC> zm!i`w0_ff~gdV3t8#ec-3-Fvq%_#+(tW_!yx19GiRXCHXt{p}%{z#t`uY5_%``+?R z>0yK=3UW}~WqR`*nX6X`6f6O^dZ@d|k_Y(<5JtAT@sUVJPNW zJt@uc^K4n&-6KVC@fkC{_)wWWmTU!kWa-zr3)%XcNgKewOMMAmjULDbeO6NKAN=Sr1wb_vJt2kb!&wIBD#vLEOX(K)v&ENRGtgt!VF9U3L9u}Qk{ z$>!t+b}Wx>7|xZGuZ=<5-XvEz($k~^1Zwn!SdTa-Hz62dssle15T?~v+H-&YPT%=e zTt#aeb52=-!_B3mptFBgBZfAWu~vPSAypP8@U8kmz&|CN+m{H#jAD-$)CPyOxC06y zB1#Re!4MrR=F5$1>-K8G`5J2Aq{ahJFa28p`a{v4K5{gZZJ}_|k!^W8*MFBKGSy~% zvM(-wI(^4IO#9_+>S=^JKeD2f&+UAW^FT-ti5a)=oih%{VR87K1w&4jF>BQo?;rQ~#}8QKnDb$I*I$q!v#xC!^9Dsbcy{x`Hx@Mvv7 zVS*DFK@beeAuNcG8vQX!nN|zA>EEs#=VY!zxRqoZ5e2^{uHX}Y>4PhAOj^?ZSABee z#ti*K!S5JohQ4;|PdakL)2s?YbtrX6J)~`IVnW9j9y@AHohfuyRZ03WG@jt0V!Wp| z#eY_9>_u`C+VLgu9sEu#>iAg@VnRWXzoLIhgGXapN9L#<{-yf#>Cg!*Uy3Xs=24L* zwlck9Fd8VcolU;C#2Zv}%%Y?P1WF7ivmEl0!u;s``1mC?i8udx^Gsr?_C7VUe>s-R z%ZNH}X_$y}OqITvEH|ow<|I?1TG6D8@aA|Z)t56HtG3A8JQ^*k_SxJ7cQL|T^gT?V zl{i>7TnsA!J}6L7AW-1G9pU6_x-*{O<3cy1CsCj8;MZx?G3qDVABh+}d@kh`3>%(^ zbq&?pSiP@P>kL-6l=E~KtL1qYUFA98J1Id6>c;az?Q=iDvEJqW_R zRjbGP8|l7k7`XopOQ7M1KA*uCN4NaQD9q%ni2Cxg-mJ=pWQWUx?V>!jtx|33%=xoS ze6E79-u%Xv^I&!0q}2CTITh{6_!9>l9uyS3SF+oQrbihz`Anh_f#AkuVmam~njzBG zErS!^FNB=9YMdvc^6grco($d(I<3;!k$X4}nmjQ+#WQyueJfVdGgo#mcXkS1Lyfs8 zA07NUK7Z8sa+sQ0;{DE6G*Smd+zxD%WA?LYJA-%iavmL)m3I0vA-M|&6iu)PvR&Sp zN#ddHUZVphUv=#t4u|kG-Ujx9wgH_OSx6;;wENI=I^j5m#z}TLixGos4>rgWqTm7! zVc@g$qNNgEqHQ5a3>8Frv z$Fu__+k&6$n##;&9_?SEIoaCrt^Fhh z;esdA&1@mYqN%63g-e1HG9%*p|;uB+a}G^az(^n>~4rsltKS@A2@AU4w&Xh}GvH5__>y@K{8D)G{|KMB<#6g>tq5x584O}LhzhMzSbV0x&%|F|CVVDqI@?(tkV zFZ>-W&I$?-5JYybHB)C`W({x@Bg#N$gN>MQYCtJyMV$=cXb(GcA(|M#*)CIB2h2K} z+%`0(anV%(m$zFB`U2aaoS_xyTw{e*?C<8#H(gT_XT(I&c#ES9pyhlu;E>QfsD`zv zKzmgsqg=Qm_qU#3CMeJD>sKQ)Hmg6l-z3JP(= z+#}m!IQHDR>rXJZX3{FDB4}MfB_6#8jz=MxhGxX(wvboW6D39H-o$XkX8Dil=NQv| zYR1`Bi;(_6d`+eZbX)2u`y~V3pRE~fSP1Q7j3s%bsu4RZRGnZQ#~aiA?1SdR^N1-V z7gsO!84CL9F;2M5{}8fC=&@9;D9b*$SgAFYe^dS|K~THJu7qx*MX~QlR!!&$C|5;A z6X)IYcQaNvhAmw#>-w&%z#URn5_nt{PYalOLOz>39r3i;5Zzqhl_QxTGRYa^AO7sj#67J#6>vLS&b2rgc`oI*FvW5h{3;(3(@Y99 zM~qYss9(||z7vp0k`@nwbgGSRnxkIB3%bn%-3db>mk5n{M<>}kCMIDIGI|an1z+&| zKJAf5+4aYlypnQWMz)+Q*GLqn9av0GP14Te?UiCgyAl%j4V)!^#h0t`BZmU^*(5|6 zGW)%9h2G4(3FwTYc3aBXs|~2-KW#kHj2CEFSgw%JvVmSh6c@LF8W`JB&&5GxKx0a8@lu$LEKfEAq2g*O2pp-kl3gUAm+YA`<_CKm%#(1^qkJq-$~ zYyCp%zmirL|38}E!9A|_{T^-DIGNbC?KGN9*w{{k#*G`>cA7Nm#I|kQw(W-f&HMSD z^9Rf|bL~BQ-wXG8R^_jmDW}PV^n$VXH_bW%l{KmZE@L)joP6ryl;t4&rEvAzBTQjs zNvVKuC@t{8U<)UgqeW#rc0(-mCt#SSc9cTgLAEH zF|OeQ%$b&^`KSgXge0+tFO=FPAjsHpzES$APHVOO-@;Td@aj)(de_$LInf^}nj9`p z##vdImt=1~vRSwQ>aP9*1@Pz~kCnk9!|@{D|YuUKk!YKFK88H>CAFwf6&gd7PBY~Y?)I-PTba(g$Nm~kFXQ(RB zP4_6hXynaiu7FI1Tm_40vP^1A5Daon2=xXJ_(KPvU+r+B7po6XjzxE_m>47|)RX%q z)`HfDQ2dX2)-q@Rf@yscxs^0FzQ9(eQ)*0}#DmcxHj!a?q8Gr|TJqkOJEx9)Rl)tJ z6@GuCcb!?WqR)*y!GHE9Fll$)h7}&DLX7~T?8*G9;RV}E1&X9g0%7Y3n{${<*KPj~vcn}IGBQ0?va zt-sW#%pl)uW}Zs2lJ&KJ{qn_k-FL;WHF(;7UbjziUGD>pRa&I&5%J_3;s1R;7U0jf zXLOaos?DfpM)xR#qU6MI)?;8dZgY+tY*t7a`{Vbf#$0x$!kr7#td#f+)Q5xnR()eCuQ~~k(C5e9t_|{nQQUuROc^*QKgcc*z~euCYaPy6AF(O_CCdCI8w5U zbR7n|GtgDb_TSknRtai5F+6VXe1J2_Vqns*2V&&$f}L&w{!AE2#x%85K5>1pICOYy zBRu=cL#`az@|o_s%;&JVSh8Ahd%~h^51}}Gqk;7G=K4#2f%fPXzAKZm=L?=((ovxMYF51Za%;pWQ6uoq@{-w3nmmjBoluE%dh`%GiKW})iri*~j!phc?H6HYB_i8O$LSxo6EbzDIB zg-YbitB}hh4Z(ZG7g-wb#NzWv714EQA3Nr=+u2m)a*#IP*?=6bN&XP6=IS|8#H~La zXEbvK8lb8Ve4xv(xIW2^zzSW`FM*+tog~Z!1jx0I3Mc^%Ml{W zWxbL-Wj9UtSj5e8G{tAQ(&|(?TWfL^@-(|P=iaZ*tH?k3@|Eh_GHJ!yT#9s-!f@QT z{{M(EJhb8rrD(@Hwa?RwDWod?{rG~;zKCH9C65Z-?GWhmIH6Q>B%3D4TBZ@mGwM3$D6(19|MgvCb6l*t5% zjHpxGW|9tYDK8KK9@=7#*Q=t0znEBV_cxWU=>T7iY^BWU%jq(nm%#RFa)EJpOs+yEu>Q3(9Wo&a0P}cw{06%NWKp5fo0+j9i_l zXe{_s1`QUbp$;S&C-w2@xyjqY&b20voEG{?d!g`sZB6rm<9I=08RVa&I4P;9dsV)r z)~q2T$xXZ4>C0O8agLxwg7E+s=`us`(@_;4THI{(OerZYzflLpu@x06F=i+?p2`in zmt@1mg>`I#fP7A;v%4f>Ri&4!0d#WVgzm?0B2jCNm>6OO4X z5<{D?HPYs20p>wMna%R77haXaMA3b1_qpF$+e0e_U$9rpOt7}tM@GwmX(;^Jl|uFy z8i!N=;kbZpDrGu0r#`o|uapndDYmTZ5=6XGM|@unl?kSpUqsLTe*EeCKP2e^{KSTw zixltP&WVPU9iE7Qz~DxlC7$WBCa2G6M`ZXTfR`28r_!FLCZ%=zi( z!mcqm)F6+@fOs_(TWiPT$`$smr-_9j@(hM)nmGf7e*PUBI9)HIdRY;DjDUaBEBwz} zPi|n;7Jntj4~3H^+XDR#VbWt#3rsX>C3#=SW6Qkz5uJ<-3sE%(6sepDgNX!9nR_B< zi^siu*s^nE-X;Zv>!%&Xc#eJsYA45XECTM>MY(XYe?!kG*bvANR_yYyTeM1%sirJ9 z(_nO*v-zPc=gy7Vk^f>4&A>>vlA?S$7E=-4LrTvt6sM}QfDvJ;vSDKhGoU1cl$Lefghaw5RHu%UNp zE>%UmUZOW@YK04-=RaYcY8lmd|3%UAiQZBQ)mI;71g*O+w9L2I$%o}7476xCAHycO zh+yKYL7>GCgzi0_?EUp^Uqv(O(~On;p)R23!Z;^I<>^mGIeUW;fsL`%M}V4UqNEEF zbJ=*b%|Akr60d|Ay4>0LH*|Kp<(HIg&b26{XgLKX@`IYlcG-amVlRq&FQrQcsmy-aY%PzQ6=B`BiOIu+1Aj+78V2Q%(6bvAX3Y_Q zCE&?evNs6Vti{5wzkbCE*A)=K*G4$BEd^0x;Ij9AFmr~b4wH^aM?fY>+}$tEGBLD7 z`8eSK!_GI+`y8yPTFl&~VoINzh>rDB0gdD4ch9*wJpHeH*$%V|C5BvXRBCi4fjl2+3kVS=P&0wzeVA}`)ACiB2G!4yuelMA}5+^3wDu}61H z6A(!1#rF6eHYhsb9@s6%|0`QwsY~O>7La>GKr4ZTe1Rwlmo~fcVyH15r$f20{iomz zHD|_Ao9jKUdKTz|IFq!+*QPH45T3DIRJJz(}%l?0K$RkgF(PO=yaSA6z z4w)jcI666NUSdfX(`fz`=rn2Z4)-K!iTT_-EbX=xSfd6JuZ_rf03vnSRaguc8MfGK ztEtX1ZrK+cLlVH4^YziNXW*w4`QfqD!3_%)(@ z1djuS^W^c`u$;?W`8H9!i(PjD=pzsp$Lg_mfZOlD>7ywbx57|X(c|;Eg=U=`kF`!0 zMbGtYsjunjay^{6dby?6LNWm?5JBOff7=8x12KRQ&d6RN6{d>X4j^?;c#x@jIJeq+r`xj(Z5&72JoO*U5CNfJSjH ze`~)-o!30Y=XjEWG@m%g?}Yq43}F9$>7ECA-jIQ5iZdo6#IBMNph9rLT$#lf>(PjU zX!~eTA+YT)V~n|sn5u!=l8ZZ*(0__7#!D!5?1L(SUw`!?y5Kniku2Q>sM3AX#CI*j ze%(3iL2+|>T;}1+x5CjNVy^Ta?>CWuLsF;7WX9i|sf1HerjaYcpdn9Akx>vmFa-zF zRJP?w?L|C_Ox;#K1ZNMu4;K~=A>gxV#zB2G`+5BlHtX^j2Ug)eqEYRo=X!;>JM5NK z;E+_OCkSP&V59qT-cPtf0bcqFR+xb9!6uD&&|=rF$xjE>N}RLB*+G_&`acd_cDr4F z^=l;HMk~kF1ydg1$}}nj7s^N3h9HB9l=AxdI^q5yyypJZ42`HE;m_4a+~d`3HY>3U z$^}cVdF@H*xKwy_^GCpu{LAys1YNP=#Xh6lA)BG1Xxw`c60d#Xe;|+n=2dke^E^>N zz=wX>^2&9+QbVnXR@1}60)An*LhcMHQ$!NEsk@J^b=~Pi$K~JM4*|{7)y{@J4(D#j zeW#a3@K3Zng9kUIEs0965(_z$VL#sz9By@W;G5cwoLq68g+H&{Ifw({ed;O^73{c5(kh@!BWHty?{ zBIQm088qe6$5b)D{r_hHjBp&;bA%==JERlBLn&eSKZ#1)(ic7@tp{kN2)+rKPd(Hk zZHe})CwXrz#5|c2ro#%SNi6j}xfl$Cs3N)(#0gi(Pqyk>ZN~>cKI02AY+npYP}h!t@LPXBRcsko z6{F|CCtr5GeWX29ITa{)?lz8<{ETDWS-^bp8HrqQ+4tZBMLYf#SkjqcuKIFMcDh*e zwcn8qY4deg`o(u2Hsk(@dF?XW`=T%LHjT77!PD(R`BvnqCO`$gtJ-KE{xKe~@PF@%tm&LBnYG+5e%b5v|G)_dIOMZ_S)+F^%^t)Yje! z4bO$CBFDrB-KRo>Z`hJb=TfWQ%XcTox3GcT!07yG**eUeDS+DRiS48RQ!jf!@bt9> zME`6-6_nTQ*TN%xR6Uh-zxBFZkNq(U)?~Lmn8%b#wB8R|=~l!YmQPWDD&)~~z;rGY zOThG^Sn{4LhH?%6`>*-*sU~9;g=%X^xpU7D4J@ zssUUPJfYzFpZsnJyG&kk_`w`W=s%-xu5t8TT_#_@~3;sI{8z=*|C9!n{rB+R{Ei76E zrD?2WnZO#Np>MjYlzi#yGCtQ1EY2xJ)rqjAn(BOJ2w)tS$)GgW&zs%tKeG!_=;6|< z*Br}hfxgrrHKNWOlAI#6uVRknkQ`upFI`(9E^ri98iNT@yK%q9))x+_pJvkPqpByB zM)5SyWyp@(FnaWz7hz+GOso+iEl}7q_v={(>(i*5(%dWW`SgKl^`qeh6T2OJ@2+ww znMQ)a*KKRHthG4xV#nyhkI(^poE0Wlu2lbt;!YUGec{|Uf*QLr@@$s%4p*Q{ra#B6 z7tfo!mj;r{t|h0s8D^O=QloV;Q>tpR>uH|R1=HOHOXDd7(d`)`kCY9%QC@Y#-?zzk z^McjLQ>+->JCU9$HOnK1);2gRdbl59q0UsV^NZ#$`|&}luW#uqM3Ad40jpVVD4+E? z`}=!aJQV@;Y`SyA{(|w9@#mJu&ZA?B*nF8(v2@YIll)BVmtRBv&OfMu^}%B=s6-Vl zn@{V%cfyFf{GR9VnQr@PB%)ztoHqYup0S*_5%UBaz8>4?cBG~V^6oCO2NvdTv>qfL z-!nXYc@3SQFNo^&JfQGAi&ztgQ#rw-+5UMh)ujC4`RKrz=!@|8j6BuX{k8sE!!23i zOdn<_g$nDHXSnX|HsccdzhA4kXwM3R$kpLNP4>?0Z>09(I^%D*eD4tA#e$j^! zO|sGwf6**T-=2*~E<6MfrDDCe@trgA` z->r|}i}5BI&eU2T!>=U@^q%{gGKV7d$?2m#+dwWCr%lzsIzuk3|DMYjz~9HEt&{vQ zdprt<36CNSC)en=Z5_|o5uxL>pE-q7p_@m`L$5~fz_}x42jR;HsQu37n_ltQjmm9= zn5V9{lKGpOq(Yr}lPjm}c=Rp;6Pk23jh-E3`ucU52F4YRvYkI~^VM-DZCitDiyPGu zEpu>AFEwHR*=WwTHzPm0X2)B~y(1_LRvW-YSM8&Xi#ki2(!)}w)Dsx&uLJk|J8y~h zGy%BfnhSPAqsZt@vksqO2l}I{;OdqQaO$ZiJaK8bzWPf@v87YT;?@YuuuN&8Q)zvp z2xRM$s0~dk}#`WAXZTffcnde{LwBwSD4^)WD6eQ-2&^U9 zZ*H_i>0Qrv*U0FmZE?m};yQst2HrL|T0>m~IC-L+ksL(tGkz@IgMN>cs9$anhCaX~ z+U=Pl&cV0C6PcD9J(eLc`wUv^Qgw$ckt;S+_9Q3&DuqPBq=&)!+|8*U&p#ohrfS9* z>9LHC!V_i(&wp*yQ5ul+!*2w{(ST-P z3{OP2aHXTPBbvq25^V!&k>#p|%i^Y(<4^YQ2Ne`9*g*?mlM}m7gd;2;<%--BjIa39fo<-&x<$;gS z=4Ra%<}?J`!~M0ijpzKb1`?0!kNW|6^jg(7Xsw5-FD9QF zEN98Vm#G!KUmbwxw}C@HI)nqE8SB%sgz}i)4q0?@bvGWJ!+0m`#9h20WRK`r|BWbw~nWNpB_m>^R9>Bj@1v~b={)TZ?cBGMd9r!S=Qy%f4U5$C8 z^Fr^u4jE4^j}m!`Gg=m6*J6tdnA?9WTF6x`hK<~* zHJ=crH8%8MU?bHE;FhYL_jkqe*7v^OQ9{i1x}QZ>uA$Up=c zUq%*ipBGhGP1e$Qm&LVTm}`|Pv_Qx&WKZDWwu?}sOr^ql;n|3Fp;Y&tFHTfzazCsE z5G3Z0(Hwf`+kA6brNNa(`Y}ZVPXBIUHvJzEg9usRVgpLXJ~8K4oS>7&A*03%(ukec zr^B!0@^zpG%br9Wz{BQ?H-DCo_rLJl-9Xk0Jv=|`cc1OhsD6AL+i=nqEIa6+*h}dv zzlS=zlt>P+p#)LZfVS}Mtk-`o7=YmZuxM*;%9M77uS!H!)&9$WNQNQ&6E>4->@8zM z)G=$j{w1fTeNd@5JyOJ?^NI}BgRcwZrX%VAatrE#-Jc^ri_#SFmc-Ju<{z*B3QyQJ%#;1S(yPIA9Q)I- zaAgd4jZlg`q1R5&YM|A-Y%;&4?)ZqoZ(2Ifukg>7kK&Wx8@vJExsKpd`s>N;pSal$ zvUU*LziT)j9!KtXj_-vy0kx(@H_LLXh&(VU|4qw695=cqGop0o<2!e;VJ{ugT~1CVrWcc>OzRvrQTn9R>M+398I5 zVA5QBoGJ7$6@33CX%{EO1Pe;)@{M^RnHJG)P#qdgEIL>mn=HIC@{2y1dZZ6W6LBCT ze7*5IDV9W|=TR(Y`}O1)_T*F!@5!QUL*n}3M|}1R=D!Ki4fr(0L${e4Zaw(~M=kRp zXY7vuD$Jx33^H*SuD#7+^x{vO=INoYjqjj_18-lf`mh5ib>6TQtK}xpBjak#Kj=GY zx8X=mn3Jbz#3RtJ^XRMT|WZP*H`9FV~4>1 zxJMn+INcyA&vIp(8h~H*E@z4MQU$u)lCLnYxiMtJpHLCwonjbi9aCPKV(Oc!8T*uO zMHuRDaWttc+pzZac)jDz7KO?XoDTNsxLbRwm+vhjG0!^VwaY(=!qW~-`sque80YiB zYA^*#y36j!vG?(!?+|`NelfX)9qX>O`>e(VApz7F0c?J|6Y?l6L3zxW6v(OU4I$`> zNdws#Xt%u5!D6NRW^*{-b1e0240=GVhySu0L_&KdJ>8szaW6jga+5XRfGsuTNc1`* zJHkiFQBN1apMSJ3pPF1XvYd>pRaGytTwvaH9-ZEmw{y*`vg$S_LRh)vYU9TG5_rcf zmH-wy!av?#x<*1;tE4Y7OW`WDFBub;Cb52~m1OxYB}E|u<9b+JrQ`ai%2fsqbt}hF zuzyk4R-iz=VDJTs1P%VnSS4Kk!<0RFp1*8b(=@b5^Q!lDn6C;7;!BNhhV z*?7Mog7#vKi?db*Wg>&f2gE zs-e5f6SYKV;{|q=6~ao`Fn$R_!VmV0>N3$j_@My${dWwYl()z?+x}_M=nR=Lts}Mf zRgYkq^dEjC(pZJ#;l+HWm%ZV&yMaEB_VOCFb(UC1_6bPQygbfjGpo>t@39nPnj`H^ z7p-RvSDW{HdP>S0y5|Gx@I5?EQ#_K#exe}0deqmydV~;#djrCm=Q}m(IHN5y{@d)6 zl@dFyDQ4odgT-DVWpLv^6Jm0B&SuoutrZ7e@Q4u`Y!m9yyEOiwY&d62Xf+T&fz3!Z zW5@=xARy7k8cr))$Y9+EDzzI9?W=Lr3{{uT#nvbD`3Xo5_r~w>xnf^k;k1X@G#pYt zPQFHj&o!E1s*H8o9`9LBISi2d+VK3A=8n+(B$-DgqE#Pys7;Q+KAItx8M>UbJTQg$ z=XQ(pFznx;X`Gp!q}~3yK9~+$DUF2a?}%}~JghNB)r|Tgm1R@>ci5#kb~#nvcu6~c z#r=8AgW{RxG8SU#()XH#DTXkUcILwk@Q=WniK{`rzam8ZZ@yMwuBhCv(V*$NISWBK zZs=zsBuk;Ymluj~Rh@cInwYomoE^_&KV8t(98f(Tp;{jsz8|MoeF3u##(~r2aWnR> zd^0nhI4#Qimsc{0g;i=>rn}hJJ_~Tdv?%qO({;6HdJY(9av1U(`3$FjAl@rO+TSVL zktGaMoRtJQ!NhQDKl?k=-d;YqT#izL?AF3?S@m?>`Vd~2%2e{*71?9`HP14!bPx%o zEZDRqiVQsX-i1?fgh8X9p=n<|pZVhy%Z!njCIo1JsvUrmcHC6Fw&E-`^L9(NjBS_s z8huxR7^`~9tA|+B{LkBP!ckPHS`*0)!rPpM3;xm$iNa2%6KF03((7!6&(m08I!G8} zmN+&jY;kpgGBA?#wy@x($s>IMBAtFwVkFyO~^jBRQacdt7rxi9>{Im@=IZLzZCbpPU2fp=9~p@ufk1XL!K}^1n%-7 z(hik;2PViNQ8K+1H*S68t)C*+=&mN;O|Yw|E2&Htm+-900ZVd8pDMmWML`_`}_mTT@nfv)4hx)@Fw91RxTTe=w6@p z!Jy`8!pfufm#hIJ5>c9{c-1SS6OK)bmoojURD)990!{$@8wVb&)0>e{FE0?&4+u5IxM;`1*E_}wXqn(9eSeCsOl(> zDIp<(0vcUA%Tp2#o*k$~QCiTTc9f1y;VisnfZyl?zdV%cNWqhc6HS$RR$tuPvKHng z13yKJgD3$I6<0=Kwv?JLtZxB^RZjqKB>CBSS^1Xge|zOUcjz-zIUSNzg&*QXNFlOv zFrAuQB0nI}8ylk^Lif#0V^^MuozLdPSw0&++}4yoP(+g3Pg~}@wBmk=Y`Q(K%s0}g zWiKO;W_JC1Q0h%bI&_gwQoIkN#hC9y2!+etL705nZ%wEcoOD{=Cxx* zVd2ez5XOL93jg923F;MG1W5lHKkn#iEfTg+=3fKkJ9p)aMW8}cvhr$v1yQ(WTUS+@ zSi*?9sUdxboFMbw=jLoGSrN-2*l!)etb|I0{M34!wK9An%HF;_#j?Tk4v0Fsj+}<# zM;U&|gdU(w6qR1H38VyV)x09(&O+-z06PU0BK&gRrNF6baunj!#5l1p$US#Q$`@^wdH%^Z%SAP!-81C+!@`WsdAFFH%X4TCsm0cw6Lgi#qMlxxVjv{i~Xv_ zuCdpBC25JiMG^?F+x>RfB6!%jo9{3s zCarM`qHD38#jBcrsuBf}=<+!edmLoAx@iwEJK=A)or2)=@GL()TUJq8nTD}1-MGag6!E{S=BYg z^r~Z*#%AdaWI7XGcxkVR!=wrkISBZh&Z0AT(Gy*45iyeH4y;J)cQgY01fCHZS*W{s*3d?k@eT4+Lu0?r zZUvHRNZI4a=i(6QZN0-#k zg?-kDl+eB`^4W-2%d5PpnCdLDTU#+5FfB2nW3!I)`zIv2`}ddZ9OWpc3j0f32>?8f*+z8=*(! zdAN*LXQwb&60BL{JR1aUQEloELY{fojF;16UEO86K8|sOqn`S7BiOv|48TnU9Nvt( z9?Mv2j%EsA-fk@lZ}14Q)fT1A1>yzYME;I43LnW1Qm>g zbF$xGOj~ac=uYmo{J7Nh7`(r9WC&WuK@=Xa>CdvI%A!5C&KS4L=&OO}I4dr@SNqv+ z9RmNFbIcUcm)qAypOk`Xjk)3Bl$)d?t_zL*_935JXjjX*b+={`Ava9STB=&}3Bk`l z6z!j{qpnsPe=?4j>W|1-e>wPVg8gz;SvKixjalpjTsPkAYJaM~XtzGptYhH|DGB!f z%yv~$zwVO3gjrRGsVR?@vt&65Lj3Wl;Q2uxtNpAODoDv0|7#67POm88kAp7z;7PHM z0HwBI&fpOA%Wo*djw&o^4h+l+S{J{?=}} z#m*CVOHp*IO#yt6Lh;8TV!4M=f)7tBq46>7HgPeFWY@X8k|YG!+zOmdNe@@+3dfDO zie++e>Gn!`0s=YZ>pF=5o=0~J@J3|X^AI)wbH*d%QTi`ISxCgiLh3{2Q4H#?FXU9e zu-YC2**vZ#7MYhixY%H~$>5Q|$+8@~+C!Vc8fo%%tGOwgQQy#yWWv61(dN(A^SUhy zC%aHXGfZ0R3UOIpa0YJs5iY=|?D<9&wbINUHVOuM8$SD7bkI96t?Qm&&Hg=3vl8z% ztY|x9A~_4-f4jj7@NkS87}J`$RyhX{hIxysZdQI9Kyn%62$PCVB^%hrP+2kW>3RLx zPyqqBOvt^|bV5;v%};{Xi^Yb^2_i-b$Orjjm&Z7kJpuozT_H{9@2W1R zEOAV3DW653Lg3SPc0ySytN7&3jJvzMaR-m-fYK%LOl;ylYvoGW6hHGUwn`3ahSX8W zX|H_G#g<4}Rm!rVh1NkyPwYhN4l%N@9-w&X;r|@RczoD=*7I=8rsx+#{AmHU8P+E+ zZd5rbrmhIQsULU_-zpsNF~Z?-DCe{V4|Or`Q{GB5$J;fTW~vDlKeNL>(|X4`7;qm` zW(0s-s3^S>=^03_?l2+YP%!xV;Ptk#mu({(NW z8OF-}H=gR`Qv7JnMr%VZF564Mz_TCG1=#dn^0kjvogpNe<{DD!?uxl_{o0F}Z(#j*O;3vtc7XFsd7?zPxt|qaia75Dfl(KD6h2FG&eE0y!3rlwI(c{16Xu zfT0Zj1hgS3zwX0o*4ki31j6tLviWKWJ4f{EOJod{I0hJ|IFkrG+>_XUQ1iu_ z^YPg2Ud4@(qelrm}mwt|dxCmE6r+Vy#d2$d=0~O|w)%YO3+p)xhhY zGc04J15}49vpBRfH90z7)m@g$#dPS)(rDQamBs`34p}8 z2ZpWPTq~2;JRG6aC`|Gp2C{w!TeW`ht;4Dz-0n@a&4HLr$05}OV+2|%`|}UXHNFHx z9(i~HrVNcVHFLZCh8u8P{xzmJ=SHJ6=T{A409vBss4m{Ux=3g>o*1%(HM|qHC*cNBs9o)cdTTyw`Ve~=-)Q5+X;gZ@~)gEVh@!~0vo5RtX@~}L9>tZLtWQM#H(A7 zNULD88lT|RbRHy~*F4RcD(o^@;G*(x@A#Tkq!_a0k~|`d8AL08tEGduxok^nbnxC%_o4)=hx z5vQy^VF6t6=+*2!4aZ(-*IcA;vjD_setPmPz=if?)LbooQ7EBFI8aMp4W80kMlQ&Y zYCe@PnL8)1!34AjLIW6};;c;i!z01ub8oM6s&JaMQ#$%|tK6Ij`IOLa#7Q7rO^YGu zDoT(l6zBRsL1Ma`lfape{l>(pdY35uSj_UZN*A5zAB=vnT~kcHlh(4y$cuFzs3$SR zS?T5BKz!rBO@%@6qRfNO++k|SPmV>s^CWI<*ZrOS@ z9(BwU%j|J|E`QwH7gx|HcqPwr##8?g|75DNrAR0Zi5^1{ShI*uKm8o<$&B8RHGJ;& zS-$n#`dBX^5(H0u#12WIXO5{b?{GdUU0D@BIkksO(g(g#yQ#3KWc-qZ4{!<- zcYpGyo;Js6-?v|*zLetIRQiBsBY}%#wTg{ghnIpUVmnsJ zzr$JhKE?0O#1%`aGogr_NzHo_3dqj49>*qYzNCgWM@11(iAG7h993N!^D5p&Ak;{Y zNy3z+iZeuHF02&K9Y^pVl_N|~?MZlb4=u!EQ@-2GuN5z$i6Mtow8oQexfpwzkB9GG&6ZZc_cNZ6EuabHSuKrC!6LI^Gjkt@=3 zg#sBs?Av*OkJsv?@q9mn%bXMOGyOreZ zuA_{2Oz_f|m(W2ETVhAK?k}!`>#C+}KI!)dO!qH&O&G;p)SPyj=bbd~>8%j4)?d8a z8P+0h8+Nb!95>wFEtmf&$nHr9N#LecSUSa8G#;l9v9Ro0P>kVA+C_a9k_MJ;$cz#V-o8N^;XA(N=bdV%mICG_LZJ(FiQ@^&9}iDMpa65 zP6%)HwjW5&$jx767}wZ)Sg&ZeyR4F(&eEA78i|w%uItO#KqCxnut9Iwe6!(8+(ppF zzTQbqz&1+Kn!~%S?jT&ePpU*PV;_(}jwKdIrjo&s4Gd3Q66g`4RKTzb495aytHUmc zWA3+!`W5NO(xdV$*YW_v49M+6&(+pY7 zyBJ~&PXbhnC*ECu&db!&wSN~zcjc7Is+~(oB@B1yJieq7vCwE;9Rw{I)Ja(9a*S< z9dK{d_-Cbbp7-<>1M@tvi|a8)5>NuLrskD`sT>~>l$SiHY4Jj&#a@;tQY+T@W1H(E z#xj?{Sc$|Jb#ZiCC?wvn#?0c1nESNiv6%aeP^frLY2;zDMw8~V$<7(%0B=gzdR@>g za)2&R*<4DHQmw&#r9noh<9uimIr@kV*@~L|!%7u$!;gjWl9IDq0pzsVFrzpJ1JTXM zkT(Yxrf~a}A~n6Hg_GY#ennYAIyaX81sm8AU;$7LJXNMrO+bFfpZbP5Zl?aBQ0=SG zHSYf6l8M{Ei0fc=i3~Ql5T%gqgH-2WJnvlzm?Xo#gm_h&+&x&>&;Cs9F(HV16>kE+ z!9t!0762`cD?7~d873bxhbvg(CBm;%L1L?vpF%q3wQW5PiwM3ohb>u-KHczwL(UfJ zmIH!vgj8EOXXr__EMS5rOD0CfLlP=-ukSwsc6=SZ4XlA&h`=CdW*zmIGKtw8xBzbJb4)as=t~t>UJqTdtz5?%g-{ z*V|*vgq2=OUH+37eDNufRCC>c+OCUnola^v3=Xw>!hpFrf#glEQ^hrV(T~^; zX1o1po67>{AKvj#VvlWsN0+Q$qs-?*>=F#P2PGx9YAVjYQydCFDAN6XmexQf=%W>y z@G0%-S@j#5Eh9dxFsOU#i90UsTPw1Zu~64^r2)P!=3Sk=+b8Mh`f!~ojgU7FphPQU z>7?ve07s&+$~ja?!N^h>-|jjI`)Yo;8GBZ0@~YVYcVTTjL7lKTOz5Y>BCU>Kujq#; zSxDbsk#X1e8#8+j!5-d@bD;8B&%XY3BN&{C4pboH|E^Z&e>>UN9 z(2&*g|3EclQFi6WMrRCexxS*aCUe2o$4As*mAao{_MKArcPo5G0UwL`n{=l=81}9C4W!L`aJt0d; zdNq2lkHrpeIO*&FZtp7|`K{rA0H}|?|H-Ow-awO~hDYyD4#i@hv%oKX_rAps5 z_YJD5s}N=b;^u4ag~VT-yzTygb?rpp4%~Th#+pCQGwDT*EgfEgL(>hTT+FcK@M{7} z2G?fXiB*nNELlN6C-c?BIlkf`X`#Zx>{g}Jf%W{5iZS{d#e^o{jSDm4)9)$>;8w*8 z7)?*HtO9*K8NL)@D01>fpIy%s8NHg9>Kzw0gq?I9Ms&Il;Zxg5t|5T$WapjYP@VWZj$K=Dh=bf zphlM8(^k?C&Nv#F^*rg%|5?^nfu9V`!~@6ylUKR%?j(qV9q|Qzqx3S@vzzT&s?q33 z@SlM5GW}p_S(+-YY@0n&PGJ)TJzkx_$e*r`A52G>99kVRxwfmV0l$CYnE>nyYp?#3 zx3-kT&k?tE7z<`4sKprxW=!+8YvDzmcOz1vDh|Befbuxzw393-H^c|@0E1xxZn2_+ zv}zhnMCWzd0r#l8*p4uEU7%iz;i_QXh&GdnAzsQzYa=!P5x>$Z@eOowq` zY^IY{kZAdQo^#u;hi@AAPN!m?9~ZNv6nAONMM9*0A*5Xwx7rgvLWY@D=C83N$>}D- zvfe@fi|t@?SXNX0AKpY^5TR=Ao5akc9jOe1LU3+o1Is?+23$8 z%F>$pEgIuPl`OAS!1h0_3JGfZMkeOifmLQmn2P^1&a$y`11UgMS|8c#ac(z4Dgm)1 zkSO_xeIFT!Q~9+*pE0l@rG)X3=xn7&oW7J$dTU=Qf-?j#>Xd=uf`X*_tuHMh8ASdK z{onweB_x4E%MB?737NF2xhPwJ+ek~eX3ES>a%lmD~VvzRXODP^8rH9d>J z8!rn5N+fdGc@9QDv8HjFL+pg|D@L1}IPr2Ynr`TnZL|u@OSPiPv46E~X{LNT${fm% z(+8oZ5fMPF!}A;IpLT|vF@+0_fLLi`?MB?+Sw|&HEyupbB5Qx24@*ik9gxJi7Va=r za~CkfrJkGZf^tKqG{glmmh^ceT#*lEq-z1HRlJ#&yj2wMXH>NJsfc)t!r>M z{HH+6z_u@*O2rz>CB}TB!%Mpb+e}MrhfGJwKoyeCJl{!`X~sP5q^+9~fbhvmOn@@t z6uRDEMy)cXR=^%3hDPjM_T-Lhz5%xuY)ZR*@d|zxN0Xl#ukF z`ClG{6PVnh?7TAlk*z@D^v{$&q*M@l%E(br&6C}<&|$ra-Ws^N;+8E0mR1$V*!V@0 zH%rN1mXBnxeCZtTu*Y)Mr~W~#ny7Cn%%_osia&g_o9s?>t@XY~6}!)oF3#vX9#`#Iq14pc+oQkAPUV8g#63;;{ zml0d5-Tk3y%&F9ZzWcz!y)#Nr#?C1TqBL&Trs6;}lqH5Z+7lg|`FrWaU!RH4@Qao3LS&f-t=kAOtt^Um1V{|p^v(wQ^mX};C^f64M~YANj*y+Q{4F}AxMO5ENSJu$`~LyJd?M)asLBGvO3hyFIQ90$<#J`r@X$o4 zQFy9Nif$yH2{}ebY>Xr0n~6RAL1K4eWMCaYnQedgl;i^+WTw?>Y*J|50_xW1V{q_f zp@Z4+8BksHyk|E54#nclTKcu@U86flvCQ!Ei zkXuz_)(`rWcHOnmJCjIeuZbKm9S7oSlzHKFg$eeTe%kv~L7)Bq znEJ-x%ED&riS0~m+qP}nwl%S>iEZ0XCN?LwZTma(-uu>ft9G5=r}loH?$xVTuPz^D z3Al|mSi=BC4(@|50rlAJoUu5E_Z5s0ZlG2z`OpiqsqrDzd?;C&gdTrO<=G+CEmHC zKSZGYywZijw8C46#CTTNg8Gfu&E{4l-fFO15~#6E3XAk@DeN%RRjH){ zmACGz`DffV5Vz#GW#t0kn*&wcJ%mS;E3}aU9NGCx3OMZwaX)IJVb6wpjB6{l1U#v z{c#x{XngIYYgI3hDjJAot02uw=9IE}MM#o4oiwHN$+7xW(#T+0|zzWE|P`r6i$Dex`f|0^U^yYrd^G%vi(E_wwhamq$qFs!Pmr^i2^kAQa z!hnmG?{4OsU-yKbEgD_JVr%wL<>Fzz!B=aV%a1geU3zr@WZyPgSCm{u=B>Q?ljQ&E zV}f`wND2>fXc1E{k>a7P94(8a{HimYJ@pBZXvpc*$_fdySoF^>w3>=km9;jV=}P_i zl^_HK?>=W`B5ig6_~j2px}T@zR0MDg1R;n9h2ds1&JkraCGp5&o*Ym1n33EZcrCnj zq2*0#Qw_XHO+su~Wz(hOp+SZwa~^J0@t3+LK^`jDa*q=K+qtHW!yS)1K0qhte2GejaWU=JIS zjL+$Nv=PmfiZD5^C{Kg5Qjv58Cu$K$6qQpu2N&G_MaerVpt_mdIkvVVMo$*5sM5Z` zrcGvrQRrK0ilcx_H(e2D8>LMjG%e-@8=xXRu%=?@B{A78SzsdE8M_mEqUXh3-bXQOe{}Q?ml!<_18Am0>+ zV!d2J`FULofn$E-n~0L$3gBpbzg^1qy`fv}3gdd;lRNNy_+0TkavrY}Qnv~NW2U8g zy_)Y&7SO+D>gE44@dhc_XYnZ1M?sE{)J*u`RE*<5{p&_4JoUTz-c(@8X8O7ir=CcK zWfXi>SzCCOL{%q%h~}psbvh0wEP`|d4UV$N5Sc2Z)Nr_3Dkan30Ck5uJ;Lnc0!LAt z$GNws7Yw?HL5et@oU&6o2gtN@GKbPZU!nQ;o{{VA3M<`rPtGJOvuuUT;IS&)x5&=4 z+rah7GQFMqm1 zV{DKEP$I@As0C^2TnB2`p&gK!guua^k&0k}v0>O3f^xe=du4(~w7r!QlA)LJ*~6`l zm%?j77N}?uE#}$+_PNX_btUr3rCK&T4-MFkpxD#le|J4h?w2W*00uDN_tT7m1Uv-< z-lp~Oma_1yZ;pJah9i@iIvlFY(gCB4T9QnW21d}R7)r#51r7!{lB_^As#Z~E)$CO} zMa43&yXFNe8MNUQizrjte_$5FKreRbcMBvl|4mm5-?|v@N7Qnz z54#d@Tg*;OScQA>p&E20VM2Q-9GB=K9)Pi9Gu~FLG8Q(#dg^o`mG8HHn-$pR)3h{; zZT@TrF8Ex?XIy?a7QkPERUZyG0TPz$Xm(VHPO!h?9RH>EvR(u&2jCL)c3!!B5+iO; zyTCx3!IFmp@j$7JUs5kfkc|kqjZPjdnuG;?yEI7D3B?*3!)xLBQmg8c__`l)+epLUiB>T0&N%c_@*{)ccYVgvp#DhttBqGHCz zQO>E-{$Pr6{9R5GOjyFE7q}Uv)f>)Y!KW1b-Sv0ez{G!7nh58SSXzhbbVF2Eq{AOr zMgl}^9f>k|GHPr{tG@#Dmz&{lR(+Ik|8`_#NW0h53>3M_w_j09h3vJ2xS(q#Xg+D+ zH1aI&kJk=pfsDH;2CR{YReJz_AFs|pVa%jj)qEJVOc{{r7sgZ^LH$Q4fCn@Q|G@j!US*aiTFuIwoRTgrn#o%Nqm^6_C|I?O4OH9@MLuj~ zx2}NlXcQDAM4WOV8;8)UNTl4;nlv&M?S>~6wc{&`nb0g(V>2ga-%sNL4`?9TDW9*e z`ptN0iv$^rg&lf%Cc{pdR4^)=tF91o&vsB3piQ6_+kje_g-k>5Q`uk~k@K4E@mT@Q z&Ev*3xA}!SN3_n4LW@C-4e=^k!Jg90*c=okkY-vG$QZ40JRYLS*mnGPvg(7d&TawR z%X!e9WeFq*lI^cBJZ~iY`F!CAkf~Y{3+SEIfzlV(kqg{!_Z0>Jmmc}^vzh+bM74xD zmN#1NIE$hYohBb315jMdvZ>Ia{Jqv}WtCVJmd$>@_;2*o9aIA;uxPbE9ErMsKvxeB zF(0_NQ(-5h5>3{?)Q8+qI=6D5lC>3R4q%~5Ucgpu6no{GQ&-uJ$5K^rbRR517GZ^; zH&2!BLi(Y-pv@jUwE;N2|6V#CVfl0jH~Bo5(eD#2duC!+{4zB@k% zMvI`fW+T{4c8rji5;hRW8AEgC*ArPRnqgsxN~}kGII)-xRDmcNJTb3%aOK%h^533G zCBhgvT05IBaQJ|mvPT!s<_K4!kHwRrjBL&vHpq*W_TN1j3>h^(kC^h&MCq8AE}Qj1 z(TXItHF<-y4~fjN&6nP%lm#cm4t=O50*3A#-$7W2U`PNiHLx++z>s{21AiR zH6euHl5i9_XTrDK!(U7_M&1K+vs72(`k^&Qi|5yxGAtHp-oFx6$E8?xV~BMD@>lxZ z4GPn3>rO0W7r2F9lC_2{)yF+4s#e2W@q6|dBnB0&Km4yuk5++8AOjLSQracLsMjD} zdcZ_{R&40M_N^&et3lUHIYBJ2@93lTMxu&K=3*)N+7SQLyYZbu)ebN7wK^t%L}{A` z9x7Mg76nmWFwcibsX@y@FKs9LZ+k)aBQlyAV?_85qLRP_fKjI|5a;&DBHZ_yS}%Jr z*^rVyzyH?@V5XaEegL2q=*D8ZE#hB@5c~lNd(w#SYOy(q77cJym}%KS{ipQ)hdO>B z?Vtk>ArVWRvF3(uO-P(b&X*xMXb2ky^_G+5MF@a~S{sHSchP^M=F}#NMPE>u+~Xw~ zN+Ny?t9{VogsWN#5hpwRQ06s7l$dwTVDdF}&Y?&N!omD$@{JHq}eblbeqN_i3Jd%|~|4(f}5hPrEM*7-&M~i^~g> zp-#VLJ(Z^?)B3FSSgp9_D~kOUS}3Zc^ao(>_;qMFFVsP&TCJxjQmwro@Apc$`LP7^KrSBTL8zIYe3D2UTUr^%2{5EF{WVv73MlRZ ze{?O?a9$@RUgzTv%je*|Edqw70qP8FV6$G0p6RmUw(W5!idE$qa>;aQXy`L7+XD(h zAnucKB?%VfodzdaBCG^NU#~5}2$F2(B%-l##{Omh>0J7Nq~(F}sjd{owK_v(D;MUs zM+y({XT%XlFn1?2Gc@1;PVt}264Iwl9P+5PI#=K6B2Cf*cKx0=J`P(F^Oa_i>!Lnp zyX42oDB&xwpqz~j!RL~@XACMb?@5qzrAp=fW3!#Gd%-8b;s$aZu^SdjbFOPJ*Vg<1X)CDBIan>KmfG&l$v0}I6Rf;70(H>Tq0=fb&@50x)VDu z8{(XM6fQ`B6OgmX6^fqh{cZbkkT`P`1Sm`udJrME1yX7ki+8Q^>dfgCyNd-{JRAZ_ zGaa_z7LU1}EPg6sf8HTdXQ?&J5x5qJsZ^`oxduu}SA5*wVO2m5K$7F3g&SefPC?C~ z&|!c;=T;e-5!0 zAV?wV@+~dX8}OpW77ZRoqZA9I%&Y)l0C57u8RpoWh0C}U&lY2PhF72OLhM((ng%OG z)oSXFln3}&@6U7I0@tX5+I$Vnt0hIC#}KiY@QCY!_QRP7ideP0N>&8$WRkFteM$M3u-+`kMb=IYPkd{ivQHxj)#n}GpG%E3S6HB~n;>-@sFh7AF|=O)62n2r zGMgLZt#_dtQHkFHQ7T<;OJ(?h;PfDvko^#?lXD4US;IzIO~!4W!@vaS!%! zWAWvyfn}Eh1u`WIPKeDB#0mbLBJ+2x)Ibzzu9v7Bf3hs!rlFx(dtktXRBTIplEiRq zH1J?S_>yMlhz<(~d5%+w%n?So7<5Tjy_=1(srSvfr$?{+lP8F9%bL=LRp|i?$&yrq1d!L^q&Uox6Y=pjI25nC>`HE2Y|$_Z*p|D z^nGiON*U*3YW|Nd2tXh~fW8#_qXZJk3!bV6Q78w@_Y21`p-R?_#4=SE;ZVh5A;Fg{ z(^D2igohD{aHNng3YsUzoESfwixW}-qyD5M@c^iyiGH7Ug#YBX+7w!K-KwJ|_pBBR zww@MzKzpi7#wxsdXH5)*ESl710;_*C8xP2z?{`X*l2*0uV@W^Xq>nv~hJ3D+$-V#G z-?#Y$Sy23&gD93*iJb@1!0b7w)Ks2zul{0e#i}V%9IXA`=Jg3X8kXh^oe3?DWq)cE`47 zq^JQ7L2gV>AyB&U;@Q{(;o<@%&g_-YOLLX{zM|^Acc?z>mN>TCgwicP;X1KYE9O^y zAZGtrsQGZanukpVzqgBK#&Vh=)**7dzkIbwYM8ARL4iwqC^F5T%X3r2)2nRL{g;D!Ka*Q2^p&BphITE&L3M=Zcz)v z1DFCIrI-els#K~2ixO4lea?X{2<}i7Ia!ahHv8Tfl&;#G!yaEp*^iX?dod<8N9}v| zS;(CXxYn_V+I@jqhOaSzjP_%t*k|IQ~F5}o6FrYLiTl>d(3KU^k{)Q25V%(2r;H{>*S zGtLOI@S%6?Er$C1kqC;11#Nj_zicB4UBTp1KN-WtLQGqR) zzjG_`u|DrC7GA3kW=hsJS@=1PVGVX|9zifaM&V8p4$x!;{1y2DKD#FK-I&^apRrKz z0LpeylYRW%82Jni?ODUcL@kIjtn+!yU9`nlPLc0@>kRb^w}Zlw7>qQr;F%1D${rTk~InBtOQpVhv%jn-8Aat_hdFm!nt*?WT33aOij zsl`ZE6wGpP%F#i;v&S~!o{!bZ?2)qrlEe!hLz{FQC$lgXK(VDvh!ar!T6wzQ*gKzw zsl2*(qF0Z&6}S1!)y`TKd;R@Dd zGGt{n@83=HALG}5Soa38uLmqbkkm+2s!frm?Iel!)&-vW2WY{KkgcbK(ahl-59oej z#gOgPtI)&vX^pnkuqGisC@j?+>Q>D!83R#@nO#+C*)44&ll$W?2_(rj^Bwr<-WIzA z7p<(99!zSV6=~Lt8+-MCeHZ{`Pn=D%nb`p)LU8gN4NAwW+5ul`a_he3jc|nXv%(Q! zUYXB{|EC+zY!q4ixb@F>yn~+Q7ps1b{!pZD?+gx4PVm2(tC)r#6GdzIx~QBWBcRJ- zXip@^6!OhE*V_!!gOpxlxgrin@sL@fi0PR|z`SXd?kaR1`2!XUOw%zxBRG=|{Pt<4xbU%xFwZ1gH_cP`{ zO*f0z8!BMI3T_6=f6#Ic&o>oU(|yk{1#&Qo-4Wu?fVbv*i-WKkQ4B$V^%`DtHm3!k zg zui*oip}4Ew#L8!AGb4bk1P5}51dWt}QJyw9^a`53BGcD_nJMKYJ{T*HTL1N#iegg< zFQZEtqeqi7@-`&WWj>o{8)zIzV5RJeIr!qbZ*CZ~w`JmowAgB~aaE=xs7#^0o zVIAW1N6DA1M>e<@Sg|c96Hnnmem1s_{?(o1^usezZK+YI`9!wD%vqCLnY$QqXH$!^ zT;Wf$XRS)+-OG?jbka!U*=+_Js$EH(*tZP7{AZAx*UMe1ZaLHA)ojR{`(_;0;$A8d zzzz*nI8VupY}0!T)8$oHK6$dsr_zixcM9Ua#VZ!@#eRo!3XClC&yc%u2H-e_5;$l- z#)!!I7Fin%&7qG|nJ6S-cbw+j2Atse0yAc%N$%==4@c^}#j-`Qo#wL^+7}6{UEe~0@~a2!BGc?%U!DTlw|uVe{DdYwP~h^HsY+MwWc}^E&&@78b1J_ij_GC z_))*3!dgnpaZGe3Q$!9uqmQA4k{<MAHg+c>#3~k9Os=QUyKBF@wMNV@1r34 zzkD>gB_mQbu{Su452i$!1;CdR@`hZ5`*U9IK zJHv;Oo&_k1cyxd91GFZ?J-!T__yp%7c=hr~s&l04P4FEFs?R;b~L|U8b98hsO~M zQ%FPxESz!f>O-NTED~Y>BCwl&w39{={}{fZ(1~$7{d{g}M@fjunQUAbZ>DlCvZ{{w zj7(=r>v22Ul9gj~I`&vx#?P=P=$jXdxz%BGPu;`EWW)Zt3%nN~?NJ(5G|EwMDY;7$YOVOQrQf{)t&Bp)~(y&$(c*3MbC`F zp}SqDjSPOnHY?6Qk;=$`zrRA_jMoMoIV@@1_shclApwsH1JIWR!lN&%uw;2KQlg{T z1H-=TIHGcn7)h(Cqm4j|gM79k7O$?u(mMwE`|Sg<$0MG>FzapH<&%>{kv(f>M$0rW z#yL+>8UZ3zQ%F;8SVvZG?{n=AMr_HW+~8B_^^qg{1?BR*aw)FhIBa>oq{%OYU~E^b zU&6ERKcxtmk!ppGGbapJS(z28+{2zseoe8=1Q{*_h9H>-ej|CAKjA0356 zJV9?7vFxm|)+M&6oab@$>tW-?RFT=4>xY4L5v)OLZE)xbiXbroQ z{LbC|%=9M?3lI__5Kk8bWhOEk&?gX| z8M3dwT*PZ%IPT7_=5+Hx$5xwJ^MNH26$|R?Dy@g5EBIx!X5}6ZnOaP&H6hW2vd0K? z1=M`OlJ0&6tu420aMXA9P`0W5+jN$5j$0ZFdGl$LfUxS$Uge}8`W}VsSGux3k*uSysY3G9BePW?B z^d>oxfmNg*OBS|WEYpJezB0B=e4}A7m9IkKB8ooQhWNc~XErDAQ3^ZneaI_CpB2I3 zQ-)&b93l?zGI?X-y>oq>kq64h$<@IzpnqznNto}_u-`E|eQ!f-M-_UrnSb-~KMPBD zK$W$PomV-bQ0(^9Iw5oyeM(|bQci!cn;DHRU$@m$C=NP>W^oxJo8_{AHImB=TX=>Z ze1qg;{yV(_)hKnd(p0J7 zGMdnqh!^g(Z0aJ6evmu{0Rax_iiaw*8wRD?(aOGsb>8j@34#4&H`9apMVYc5`%>jr zsvPcaJQIw7C}uur)$q@}YR@RcC!xk{Xce2c+}T z9@}b-4cejr3klU|*$tl#Yu+#O>)Agxj^Q^NGCNj$kl#b4!+8#6#f-)NbX#NkxvAdD zD})=+$H&{0^uV;S?aZ(GOt*HC1Oum6oW4;xJ`+m0kbcnKtdu18yW@ru1 z^`yPuEPbK0GHjyJ?`x@Jp!GfZO9ADKv@lQkQy}ke?jm%W(j(lT!MgzCprga*xu|$N z7&``b2out12A14hZ>YMx00|XYZUJ$^A!f^FY!*fjJ-_T!w zb6oj;QSvkbR&GC^1o(D)724PGoy_zeff*Ur%VF^)j(DZknX{4t6A}D-eo6@N4gYMT z7($@@d!g$sZ<{?vz~~bO_UZiy8-z3@U|+fF)MXCXYhgwbshQKjZ_XV&g|U>rMMpVO zVFd)5rakBwM%6-#z(HAaMpIvRsUWLNgN^`K?t8t&(j2$wI8ef*gW&x7FNT{4_kH;& z`omHk>D~;s?n1~1G7os5g%I{^{FQD`H{ksc)|cE2+BCntqg7ntdyc(U4<`rdZJzbG z+;T>_`S=Ec>76mzdRLw)HxPxM_C4kb)q5k_5cQKn$oVsLja477cz~w0QFTr|z)bG4 zQ+=Mv(BuR55%et-a5A=Z4c_gx?3cQoOrex^l2)>E^&Ql?bNwY059v{LI`N(Itwwj= z#^F{a$Xjj#Om@@^uUwwnejDjpc@VO&!WGsR{{?dM3tbP1m&+XVO!Z&3|CjKC1nN6` zsEi-5M2C>m9O&v!j_U9msPRFM{3@JdSXnq;Z((l@xMh{mdQ-;)a=-94T=i>Tvh&}b zbDR{X5S#X0Uygl~?t=Fhahxw+*nOesY$0>t===C(jTJ3ovyqthdB8_Hml|=9I1Jg{ zVu$s(g^TC5?xI(S2dU#jbu^4_#?bF``q&yM*h+pMp)WS9e;{|`KMiu?Q4M7VWKue; zaqng6iiRVO5uE7OrR3mY>w}W%j#BCVu55Pw+doy~i?g-FQl!yvEzve@@hLp4WU^_T z-*hszpZkU12G}KHqV1-I>g3XQ@=y?-?Q$T{<$I)xqmkv)GNQH8rWasd;iU()V&3xj ztg~sozj)9K{(r9MzvSWzjQcvLrNreEHlP_E?T-uvo6~8_-Rw}i8m=5DzSGhrG~m{u zQ2i$+^(Ocu!$Jx&zq{mw(ukA)=8k^7GX2B%n(%=OONv@Sig?2cO97-?)PS&Kl40#N z;64%aqzqC81}L<;fAD_5%(!zyfA?_!Spb=FFl;CsOd5R;3P4vXsLdQ zXyJZ|sJIZle}VtMj|z1_B%?R8jVP)#7ibeE%~@P<2h4umR_MZH@cOfGfiOsi z<@QVmJr6$odj?3xK6GXY6bbpyY>qggombyaXISmWUPp}4K4<1?JHlEiO_?GlN8``? zz8HM}-q(S?>|Bti<=ckLy$)&ldUPfx3>b+!t?R( zBht_vN6j$rXDbSqj~afp%jgXB?TO{WXL+k$EfYAbRmcHXe`~sn%vO@+A&XU5va+K8 z|9FiU5D2RDF-h-XC%JvH8fPd%2W>qc9754ZiJPrv|m1Bs7A>#;Ob&Z`aLx$ku9O#IikB zY9ozXF0Q+p2LkNoF|Fr&LGH+N_6=GCXQ8=YDBqc|Y<}=_&I#YRHTS)V!NC1Z?G^}4 z&rc44Air+U$s4UK6`RX62c9O6P(>HCGlt_K{1u?@et9l77?fM{URtzkrA_qJ?8CJ3 zUopF#J?anU3);S^e^9vC+_JN|f!#JOXoFo&6OZ0Cu1c_Y3=|>7N>KhMwEXXH9tdd1 zgFm*)V4M=Okc*oHRg}07vOD{l-G={O>h^M)aLo!0v%>dWb%EqYj4$W={=F@yqA&ZQiW=4rw6j#kQ zLz|5OtmZ>?K$)N~B^lg*IMu!QbNSxRSPeD|11GLf%VO*VejUu^sR`(A##HFYVFl z{D@orm^^#E;P-;O{K?#RaFM+X`M_nuv^!#TgwKw@S7Cn!l|i+njc)SIewRe!42Z5N z5seiqjri{c{C5)t#6Z&si3?LeGEIT49`G?ekSnhb;nxeg>H0gRc?N_~=d1_8LLVGz z`GI>M7jJGT$^22Np7hFtp|FB5z? z+I!30BZ?t0gJ3X`r)n@4joNHud?NW&SfkIT%VwV73vT5OjpE5T#6mVY6p?K>(Uf*QZp{!DWfg9yERg%aTeCd7ee>sW zOQ=Vhx}J1Y%1uW*&Wq*oNB9mx=Mlz9$Y=vzMT&CDmp*XuXT*)&`>u=`wYeJ=9I zE&^5vRcfF>`NOnQw5V;9aGzUmCWNp>f%6e&1P>Gl*r}VC^WM7duYNdw%#%NeDWa&o zx1xG+z8G|8=yU27$~Jfp{*GuVbvhxh1~%0nx_(d_&#kDDDM06F{nt9UY=MmCBDu*f zyQl*h)1tP%eokbOS>KYrcvAxv*)cz3_E7OYxg4(b2k3hWg%@1Nvms>sjNd=q%FwfE zfM1Cbk3e#JUo8j!2Q&TeFCtPM5AsiC8ldt^99XCr)BF$%7CNe&UzFt2_3w_ypsgqF z_Q8!so67XkNRiZsTIv4teGDjO1}9nvIkn*Tp)0T>xOJ4jVvgo{(0$=KE-$mJ z-Ezb%M+&^M#Ragx5?9e*&k5TZaew|7$o~(Vmk`YRrO$ES1xcCW;CyRKXl|msyq6Wn z%gp8g`m~e!9l8ZUkNTCbAN?E_LdHz2Sbs>si#iEuSfDJy2%>3FlN^5}t=n3LKS;LW zSX$9Y(nv^z2XQTy1O3cK7M|_n<0Xu-yuJMiHf-ld>iu@lr}a>Cb2IHCmI6vec43(E zyQ-u`SDgc<*c2~>aHxi|miI4XTyN4Rrx*1L^NFQl=&R9qKYpLRS9_O`$i3rQ_gt5? z1NkcDeY*|L|8m#!P|9DhK=v(_uF6h`?6 z>pbNDuuFhI!WAJfdvz;^RoEdb-xqDW!L5Z^4AUDLw}WsP-|wI}ZRG7vVxuDAXS>)O zk2vs3+#9}^`_1?}+)jpXA)0?EDfVNH*;vE?_Lbt+whXB*%`^EX>n3=q3m9)pn((~6 zz$oLL^Ev>ZDP)VNdtqj8^v@oTvJHgYwIHg&!#x}C1$52oD)%@whU^gh)Eye?Z*J@N z@w?!1BMN@^@#dS-u40Pd9BdQ=!sZiQjVGt@<=qa|2ckBpuK;?+){%Y1ml2u~#k*^% zr`Hp+Obn?lCoWjog78mM3x^YeF=- z$F1JLUl-Ol3F-<;hkeEyUAx1%D8C{PEQrN-XjFMg145-@z8vAE!PX6Hi&5hW~*rjxW;NcbH5%vBR z>c`_4c01>_mp50yEgW1#t4LA(BeZ(mH0xm&KxstVa8A%0;SmdxQ8ME#cEk7jiCY_8 z_O{F%4}!^fPbz3x#%z#9rW>fqOa};}Sh&D!RBwIJs0f3K5YPfK_vsDuK=zu^QIcKC z>B3){U6n)lkD-U?J}bM=Y9#2IZK3ZNB824%zQwu8sQKOxuiD?N^ja zOm3)aeB<;X8YmJyjJDx(o$Q^t@5E+o5vSo=i@fyO#Wrexg;Ezn~ zh6rh-sbSA11#TzJqh)Q^<$}}s-^xdXz#2H&RAR=f#j5uLv_uCM)JxZ6_$3rGk;-s+ zx!gVi*6`29B;@TKy+3*H)Ml$T2RasHRa&26JB5%45;KmiCJr|Ho?8Ex^>9Q8J3};@ z`$1?@1iC{Oj&(B{im2Kg_i2lK$jodP`}8M;PH#dJNHJ{Yynvw1yLBILF2WVPREICA zXbYggd(J}{m(M#eTfLLdNBf1t85Q_#xy#(Tp{#keV$Vl(Z;&Yr^4aG&6<6Zd<7|6i z>u}MN{5AQ&>dE_njSdty@4OT6E$-M+Ls8rPfSXcUGBw8k$=lXRk+WDG-A%#-Z}@Yn zO7dZ)msbwY9*^hdkK8-d+K19FBV{WDP`%d)bX zXv^7|zkh?{nCXI&odQt)BF$E_-Z~S+C5X^)QT%W5{V$Oy*n(yNTdGc82jWG$@_Dft zOVPs#cZYSJ{bICHs2>{!2u5@=^BF(d8Y#_Yxd~VlTbiv1o8MqTN_y)V2`NI5Msmr^ zMeu8g;HbVZu{6nY^u22kuqe7h<{>GMXqk^>a*z)EkmiNST!Vxxaf@Eea(I8SfyE6u zMH!qO4x;ph^(W~&@@IJxgrGuO=J>P|q6kkbZ9%0dV?`YIXU5NyRr^G;0yN;T00-|Bd_@lm#_9^#bXES{5E`42e48LC$mehl~RH8TR zC;XtKhy;Xmq62KUV%A2LW`L(bgaCE_gC-0DXauk<({MSKC~{p60H*GTY#}AiX0CpP zVXB>)dQESrHa_r#IS#G)R9tJb^aej^P* z)@X9_>EmSOnr~qp4{a~PYe_Vj?_Pc2bo=*s$)G}I2(OJR(}if?q;q(ytvRdIl0mMx z_bv4X2KJz?u5Xg8{Kf~H%rqn;OVUfYvZh1l0t<|3!=OIcK}o7~-;54EgJvb6_8Cs`<%SB>ib0z^qrtJ4w7`H#v=4HFw?^*jHF_L2{DpyQ%isal9o;QltxKBZ7K3C#lC z6l(muRw(yFH#cNAZ0B#qKFr<`28oFscY6uWD78hrZ+R~)9R!|dVU2k^>xJiwktQS- znkH46BGvj`b_@So>l};9N0e=5<28>Oby5d@M;BW>$)8Mr_CEMO`EODv*y}{bPQ+(N zEpktrhN6ui-2U7;qugE3XSk=>_`F2#iPSgkD|b&5_DL5?$w95K{z9(ZJxVa-tQQ*p z{1&(d@{-oM^K2smjf$@+=qQvA`}O{ue!fe#lV4lJpS@g7@v)qDt(5gG^md=I+~gp4 zMA&Ld`9X_sNOW~$ZFheZn4|qd-x)@FU>ezf8SHfh=9;6BPB{2+{|)iHH-n+(Ou=A8 z=5U+K9twMSJT`1aSkU3H0c9*_ar;6DbN@Qp%j%0Je9bhHDS1DsNtdu{5Ahb`|9yHb z7O|M%xKd-$J^l7$gVH`0rRy0h&8)0Kxe(M!!WmA>5QO)b&Dd+^$xSBU9&;%qfvuiH-VR-B-@t!dWbau@0Zw z9UG`u%Qr3v7>~&Y z@moyoZ%bonesOyd|0Zr4dD))C?#;UKgtU_)S0Mn}{6+1cC=@zq9hf_Ydtsdu3Fhzb zOuYY+$h|xLje5O2si`u$gF9=MscO3r~F@XDJyh|qOZ>KN9|1AjTxB+=8S}fh4G|J_!XN&WB)vNz|USN1ore4QS8S8 z(94vf>|C&SoHPof91I4>k)Dx9TxfG_iZ(`&Zg546ItYGx+3heJ>kmb*sGH87RQrPVr0l+Q>$e6Hz#y7aaV$pvi zy?`s?>~zMN#)xqv14#I1UQ2dpi!rk-pu}V`S<&aFk22CDZh7BylK@9$#^HeRoD1Uy zquv#-A4=iBHkP4#YnJ#6nI^ScG29&xNYdvhswfcuL*z>eAYQMc4|k>jOW!3365lW5w>GZkoiy1xHr4P!E;ev za;T#GA(P?+OzKR(D8GZw`?(JvG5I~wd4`bKPy0RCy*;Q;XX<_}Cx1h_KObYlI~l*- zU#yuLv*veIUqiU%GG4aX(brLYVW`eKX%CB*7w?KQGp7_N}aK zB;hhg4GIRL+3&c)*^v|mpX9&L>#i`j!cO4~ohgkuTQmc=6L`8cGo)bZ2aYVTWly@# zE<5!On*YF|9f7$d8BQ?KnIeh2Yz}0<{?bA3{J!msul^kg8H{Lg8%K69cveGgSk$qs z-iY$w68Pi?5UKy=k1i>ma89}# z4-YjBA(Mw{n{!f78hB0%pny4b~Ut7j+R%5ra_rC`;r~s?M6;HlZBet& zrb?4N1A(DCH1ID-SP3BAFhX38Ddr|Cf8&++I%@g*b+hEnv0{mB0B-oF2qSg4)BSl# zbs}O9qWs5PEOwsOA1E6kL&2@twE;ugZOJ%cvsSl3E5Q-fwf+1;io`56zRq@Lb@f@) zgzb7X50gE#(Zs#&p3+ z#c({Rgg$SF^9iH0m#6lpBO)pkyes8{uDfk?;i7-hJA9){(?_Oh*yrHFQlFrEqoq06 z(I|*>vPW)k#Iv}=^qNX`L&zCO)J*tKe6ih4LYgN3ZHjG{?bCc|bC$o!28bPrwsDtltx0s3+)5V%A|uZ z%FN6(gB;Qy*>2b^H{&H{I=3~U8T9XYT8ETipV5ORb5rdZx9K&zuZ3+e@fldZV6hh^ zRG6@OAJQ0;jb^I|vGyF%pUi4t!-=iFINdP?B(+Z3~bjP+3mbNXvaTJ`eru< zVfJ3G2=g~+Ft6_3V_|fFK0CKqrXTT>&s`zY?55O`Z%d?7wqVa-_&~B;@Nl}Z3%ii= zmG_&Wzu(1ns-A&Lzu><=nJ-MjcnOig4fn2sU;CP+UB#ayb2~w|8x^fRYdhORAukwAvn}j(b&}T7!VoA037305Sec$+!bUPG6E#C6FLHl@sB8b2V^Ulg ziw3I-0G*Rj{8!|EseJ)ZDOrKxbS0F_i>H@?Eo8NvPoN{VHqK82i*WZi-=B5(A1QgP zQAUP6G7<(WF{1{!^CKDL{`y}?H+opkG~Ys`sO$As_0zTxl_7trh)m`q7V@G-6F_ck z{vTOa8C6xcwIu|ObVzrjbV!FZlF~?nlyr9->F#bsLRz}JLAtxUk&bUGzTWrVZw$sB z`^RDLz1Euf%xA7Oq&e_L8t%nHpxGiSC8h6XB{rAuwL*=jXC zrG6Ue`to91>O9p*1on5=SU=Xsg7EeceX8-5ZZ*}k*AK-ud~07duqr1$dxfykS*_pt zF3izhUz#9*#jUdwR_QRXY&AIQ!!@pQF`%5%S;*Wa;G2o2E6v9DiFG@UW)O^YK?jSb zBt(wI!Dw-=7B2#{;_X7r2845FEcLGhU;K36zEAQMk1-tR>LZM12s?!OaY%VV!$$M7hF5<(+bxpg4wnuOP_J0#1BFGBP%65c}?Mv`&>; z`pn0D3t68*cCp%eYb&V!qS~Tm z?wvR~Z|lTsln0gtTGeXI#YZixDboj*NKl{z2isEfr?CnTWljt+2XpT=eqk?WBR~$QOfoPP2`pP3~SRXa$?==7g$OP ze+7sd5#peb2C+NH)Rz#(V|Syq{dDM_@s@l`%4)ax#?vZJjHLAHt79iglvY!s5oQ?~ ze`&Mgg!xpS?>(bzs{BiIfq@>&F6u7FOG!^e&(|VR{w5lwAJ6Nt`#SU*s$~L9yRH!# zo|W7&n~|R@2AuZWty!$%V>LUFSS>BVY)qN(YC6tnvwXz6P90<GVy=X4rc=3Yc>@vYr4~_TyMrmO9GmM_@kjur^tip2bI>QP! zQehQ*V@lVMcXg@Nlt*YDOQI+T0c|ga8xC3G*goXp7K7q7Z>EF{w)0a{Ks0w|~tke~%^hAU*uNhC( z!!q}j9u~IS{@ixa-#FUWo$9+ZnaSao4eXSgJP_n&;0#xPKm*I#*LX&G^han`iGM2Q zU_H1V{cP+{oSgn3^`&liRNB>~4$b@9U75lI=_FU( z5Day8_Vu(FLl};zm3P@7*%YZfqIN^d|HM8+9J z&My!Zc)#O0)_$N@#$X~_fj&ImuvqF5HzHMV?QF0Gs))2ru>(Z8lxRH-`R<2{4y@VN znF?d)vvzS0KwhW#3gV1VCyl{#SAAuBVH^42;7VMD*|B%CGa%##{DV*Z5p3twz8=Dm z=62?!5p}}`{Ep8mObAJGbxUaaTum*BuaOp2NV$;aY@Jow1*aAI4}+`=iQ_60-Ld`# zUM!qXWkOJW#~*=3z2iKNrWf3Ieiu#-pZo!otjwHJl~l|FdBI!w)3I!_zhWPn^pqSa*kXY(~Iaf@k38(S^J{7;UX^Q&%iOvXWM9tR|= z1y9JwGrv`rnrmci5ATzPL2<=CM&-_sE`(=W?g*tmwX89>{!Q{yuXVQ)9DCBFt&z~U zqjgK?Gpvunf(jM3Q&GDPZ-kP)4|J+fba`*43%+Aa#qwi$UK%}H%jlLkoZFu4s|jO~u>eJbQuDDUA~+*T~;&32gTC z?!_1;BbHJTA!O&_`+P#kUY1D4r~whNzvU+&aQT)fP)&Gj$brKV)-|s(He@#>>f}Pe z(eJ1O6H^%E`y)dvSfAOU+0@;N0h4r~QP_KohmxvV4nNhzxWbK?d#a_#)sItv5HU?s zLMD$Ng*Hg|K1t>MS0ARbnwt`Se9w!TFSWD=JdS5b$&*#odV8k2b= zTpwtgnm`e}w+c*Nk4UgoBx9uIL_-AXhKG6I?x zxkn~L+ZwnVs1{Llhs+PQ-Sx~{I$m-cO3s4OaAJ!h#n&_P^n1q+9*hNNGe8JC4oq$( zZ_D8H^gJpuv%FIsbQ-vnpg*8T_=}s8p6nrb4pKPg{ZIO`18wXUfR-X#3(Y5tU8Z>w z$I!Z(IA)b>l4<0%MgQ({y*lUx`|71-xS#@u@2iT(%Y~Brh~D|yrG)c^Vk0^q)bjK(hA>`2=hrcNd>h!O{bOWEMxGf= zjtW$Zrt&s}4Ii?#BD_Is(o1D7XAiJJDv0_x4#B1~a>(8OAi^JlmNV`>!YF4L3lAUc zO3p6`hioX562wLyxSEKFUK=7Ub{Qn=N+GQHy*%ICgobzJ(lPtO4(E&JQI&NBU&N=~ zd7f)4OpFeB5iYm^4KN{O1hSz1S`6TZ?QI5CbYa@rZA*-ftxHLu(xGP=~ziTQShl3piM=U{t=mdzpeWXiMqG z`qrTlR>6(KUlbEpd0Tg!liS$@<lD6Ejr1D&POUtH~N-s>9oS9Sff z7r@6t+c@GXdnRuTUcozC{;=rH4;okUm@k|U?_?qL6U8|tOA6(~)XZb!1mfZ+M#B_~ z>|?yl00Lj&K#Ozcx4W#2`IUrQn-sB=iV&4oiY) zk}^0qInHH_?}-TpS~o;5q?#pTOk~vT$H?RCzUs*Lct@Kam_dP^EfVBLE8@C+(1U0Q zR2TK*$3Jp3jZBX0<-$AMUW!_Vm`_t zmv%GgP!81r7|A@g?z_*Dv&8(v7QW)juhd zWh^*+n>Dhyn7caqoF%?jO7DLmtUGdiL)L=66eN^TF{ZIS7nW`x!s%Ua$#T*2f*@fx zKGaLlBo@)$!0uyP%g(^tPS4AS4eeo9Z_c3oB$YNa3g>F!qxwk$+XX3>$;jN6K{xcH zPI&CBVDOUx?5|9paa=Sbs-JEcD7x0?kR2M@R zp=xboGg+8lr@Ukk@R(_Afx0t0To|Vg>L8#5$$ZsW>G}adf5YPUI?>L}&`|251wo+) z{=-NKguerkXGzQu^@3ONh@<2O!iXyGM>cf8K0Jd=^w37a7W=9c%P4R1I_u;wEfTniiT4Ub zlKOt&SomUZDk_-;8EOEJY_Dx0!ecWT?2Z8c{n&4LF-!O>g5^t`w0Afctx-wL71(Ky zObr`aWm7m<=+Bbgsd=s^KC^q|hh!;vZfG@CLIE>0T4S&xpjAiHH-hF5W0GWlx)fDf zI&4mMmH0+!`le(nMf>LYU4bJL?W|1@={a_97URdn@=^!%O@ooT*#R5~7}SB80Jixk zl+t;@d(meK3>$10pEhAL6D+SuY&7PFX^tr`X7#7f&5m$5H?uPVZ1SV5Kr&JkjwH6k zX4ZdM?n=Ro$8CHGSZsbGHJjn#rLe?7#)`?QGvXGNww{Ri@EN4A+@u)@ZR|_YR$rDU-b< ze}H>+^PYrvYCE&nHEruYS1&l!xka^x1`Fzp50@$?o?5=F|0_69fDW~EsiNqTVaL(p z4iv#CFZqbZs`Aey0GI<98j`i`Ck{S^2pwf>t>-Cs3q`uW@4z$1AVV!PmB+**n6#Ut zQq79ny#&^WlWFc8RoxCAP!(-xqq0Ns54Uf0T#PIE_RLnwr397_JrKC3d+Lfqch8@r z$qJ>`hqv_vBo46KK4;t*RkhpgOIM5Y&W3m77t8F2L}+{yK1CRE=JJsbM;EzKAm!$P^BpqZy)0knV0XZJ~jX4 zunKn7$=ezz`(v^4M&+-GNqdvtD-KI5LP7Th5ly$_g|dEtQSm=o9{_=IQ5Z^;0Yy1s8j=(Y#@mSMZV;08H%&K z?F%ufDwzI>*Ofw;a@2dyy2Bfj&iTS-PGxlZ@|niMp4pe3fh@7{hd>M=Hymix?mLQy zn7via2}~sV*0bFE)^DOkDB`!4P0CKjY0}V6+HByIMI4KBoDuWM5_Q!#@25mjHM3| z0jFk7mcO*^`~W*s*~M8v2p#x9I1Oq55fw)=EArJRH6NFk#rrxRs;rcwS_?09CI7MGD6!=88nVpCI zQ<3|{y(mJ}p{Dh`IfAT$uMAive54%8GS=mmC`T%2<-uHR^E}9jeVxWp{YP(L; zV(8M)aKYG8D~GzPdiIrPZn7oB5Ze(+I$DU8SE6rnQzj7M4hIa zV%43_NIQjHbGeA`FTNW!@k8FFM&lSq)v1sgT4C1uQ1vBVD6NFqnO-gDo6+Qt8{REv z{Ce2m?!U&P(n=g8KM<4(|7`S+5r8w{0~-!WJ28>PInx}k7&g!#MOUrAS)Qn0#V35j z9V8I8w^nZ#-kuvf{W@nR;L~b;ATSb>lz_BM3(}H|q=Z^ZwRb@3`TkuJ+pzNb+qOO4 z#xa0WPsYSEJ72o5<)`v-G5_W~lZnh4D3o)+N3vb)i`!Xmh8nx){br$ufnq3xO_8p} zv3pmtOnUyxz5(g*%EF!jZf+e79R&QN?c^<(7Y}07h5Fn6;xpR1KrPhf_7pOVXJ%U_ zn4LCCR=I`M^B5+4?5U~z25h1+pRtsLI$V6_6y`c4 zh;nEP{ply0E8ZqtJ3zLk)$}|~w;-!yTY>&7?BIL9@3YSy*QOg?Y%;}MU?a{mS#Wl6ubup6{qs=+h zGK2WXx1!)`D>dobqB`3#0hPJo2)VMKfi85v@MTVt;a8pFGNP&Xj1(ashg5n0F8q3o zR|pHB`SJ*^ry>X^tWcP^{S0+wd6@TP+Rte#Cb!2D&OUo4qGzwK__&;hI&LvMA|mqF zkAm!H#KzOT1QnlX- zz0L8cK$XapnUW=EQV>J|EVSBlP^lBbw_ogOlrGQL7|{ zdgyhgQF>A(<8Uu?vob`GbTS%kg&v*=nmC@-dE77YRb+zrAKsKeH{7?px$ zIqiWSs1T=Y>CJO~J;Tq0^*dsN3#;XB@b!A9PRm5sDEw}Nz(%lIO7DpNz8{EB7xl{L zWY#>$u+`IQnf+1`=FeL>5|2R9g^f@@POA`bhq8C$pV{(5tESG^y@jn4=bzkl^kuv6gLX~atwsf@F2L4!UCBU%#a0!Ptez= zI4_S$N`}V&{ZQ5inhbwF81i8w#^^k4*lszchy2Gwjwqmmk0rmJ#rv$L+}O(~Ej))~ zyR+hl1~N8tSptisgUq@FdV0h1@>lsuI%mQ1k>K2@daqg+bS!OXohzT zQL5rpEUL)ZgZu;RtNmAr1nyk(CYHIVsf(X#O4q&i2KSNHZUX`xoG>?ilUCq^6FEBcb!sIsJG{+vPy9~VQvRu7e$Ae_DNheQcK zA@QsYQvEuM@5AR-S$mjN`7|IyXj}}**O5g&|HI@p+={gqP4`xYh6(ZI-n&0G35&=`s&zPq6ycqLbM{9(uYs5{{@dIuD*R>yqhn4z+FE}vmF(8!4YaM4x)gF z;phj0WU)u*(wKsQpqcnl%ebv8U{QGolHm}o?!{V>6Ct3gMd8Q_1`mY%l_esSTO)Kim02c;aS_b^pM(lIPwwHuV({n`-I ze*kB|*Jmm$iw%Ye)h2dFxo>jKn_8$SLSg-_pMt-UXJ}XU_P^34PYnJSkqZ#SmO$tM z6pKY1qb5968}7Rwl~j{7r{e1eZyC_$e>&q%Q?;jd`0S1qXOz`3m`@;Vj2Eh&T2`CV z-RUnq+f^Q|v5;7yN%*LtarE|h4LCZpi4fbvW`8EiI{oF68@cLSY2P*& zT(LbrVVuNpZdNZN;72%aLfAUs1^4Kd=UB1Y=ae#;DF;th-M_ zfUtWbJM~MG*=6H~rqfc%@+3d}{7s#MW zq$%k$atBmfc#wZvS7ISZnU#6w?1G#>#w+p}RMq5a#awE+Pox8C{^x&Le=j(4)MXDh z7ulNNN63Un&}O76gy-0im~KSWr>)I|jiiKIlA7ox6snYJVE2MwN-IYR**!`Vo6m1g z_QzmP$OsUU^}a6D`QEEx2LJ{Cpj@;szf%VY+(OgxdppaAB!E(G-|I}XQf~a%dLUyr z<^gu;SpIPh^~0M}m^`SW`QaOobNy~e|8tGthP=M(jN=}_E&bOA3rwJwl27F}LSeJv zIUV{RzdjrqimCtUv&Vu_vny#8r>OZ^++$LP?7!NJz;EE3D2Al6$#lt4gOUC{rvU<} z&^HLWd|_u`(An}E9^~eIt(sWmmLpXqVSSu*K@!+|(U!)O{+8kV_o|F`23c0WJ4>k1 z!S=~A1B2Q4WCov0ES`q^DZq=Agq*I*CzAXXmvSsL5&>t3J1nx^QYI9K)fFQWK9>)a z*wylqxBtPlE&>rF9J~x?<<34+KpflHw%{dn%ywnCU&;=t<;2G)?qa zxizwPHLXRs)XjB^L}-j5gtThhKH`u&S!Ak`!fZk6ha?v@;-LE^8RO3&YVoI9NR2o} z(8XMk^^A+utl~W&JWdYINu7~AJT>DQG0oQR}xfWI%$p9nDX(#D4>029(3gc%-^tERG2Gm-R0n8r@if2w|o6 zjWPK4vD2rB%(d644PQ(iE)4PeI%?Y)Fy-#y|3_1eMZD_E>wZESYCy5Cead)1DLs9w zb7I~SwDjx_DaOEh;N@!KS%-AmDQ;Ucvl34i5b6f$iAE(G~jm#JY^%!K2s)(;WQT}>RA-Zor z?IDmkNcr-IL%)UQ5^Uk&9cb6zD^8uRbA=_UFLfWH-#4ao+t*bs;EDBnfogo(A*KIU zsNslpB!&iU*G8Lz1WgmS0<=B&8zqonSfey1-lLqj`$L@ZzdiA-6#{6J{(VvY;>?Wy z-ERkeMH#V97iCu%go=@piPi!_9)g zzlyC02R?LPl~Wl2LH5JioHODRF}7xdv&5sS>nRkD7O{%C8)fS*o(-T=l9G75iN$H0)#6)OxlA-{q?CHHX~m%`casC!kGnJC}cZt9yXUejWU)5X6Y zN(gq;cA{{xJJRaMW_A2WRKY(;b;>+6RWgho$H^ifnAlz^VF1t=2*OaiuUDK+>d)`; z+#s#PBI7QVosGKoD0Q<>`I`xFR~-E6KGZrxDW9Aq-G3$iZptsjnukxuXfurBc06io zb(5Xn9kvtr$1Dm%S5%4;LH~Im^=k;Kq3Z9a%0^FibV8b#CS82AY&R!@hZ{uJt6}46 zH+Pt-+Tfsc?qqPVHvsXSrP{XFX1USzyrXtZw$nE^1-zqACGgH9u41CU*{4iJl{4LbG4Sde>}Zrs*=l}W~EKfp17%MUV=PRxu@Q)*cJ zuci{>wm4M@bea=AZsxu_B-evf0q`Ro0)Yh1goF9(Z7cz(#( zJ|o`#db``!32$6@azb#uwa(FgHP!rH#tP^QB954@TX1G*9f~W-FQhYtIM@{LIeegQa?8n2Uqpx9+zmBSd5{NL@W|y{{eN{E+c|T6uC9 z#wdJ>bADO-3{lYjbff={c4c{vXuS5=)5lXoL3DC3Kz;lLAO3QcW6*kdCjCp5-;=wD zKp-;C$6Tfw?Z=d%XE9v(H$M*vKm<^?=U=v4#nM%;0<_K&0*NX85VjYvH0$ho?^D?R zjHr)_SYLXhBvSOLX-v)?`eR{!6Wc_{liT46_qs3McvQ!@pA5AY$2K`B>sf+73(H#{ zEm5&daAL_`^4cy5b+q#2+gc(C^^}H=oPOV1kXQD1e*Prj0?u%ZyxD)#3;_^G98SWI z28jD4EyB{+?72LS1sw5<`Q2@A7TG`oup01geYfHeUT>7UyOr=%-jPCDSe#sUKT#xD)&iF*` zlc}vl3wVQH5tRK^8t&wiBzAt5?0pK&m@e{PL-iylzpp)H5F1)UYu`);o(2^w)$%2l zS-#hsZfzQaEI*`lBK9AR29ikQ?oS?*@BTYh`Xh8GKwVtWIKTMsuLn^gT&)LbD=DAy zbh)?C6-=3*F@=Pl6t9ODoPGOgv}|6sA^;?gO#_+q-vRc&zVT1g4Sq)%0od0aRf-{! zf-)d23@V)c>)?8LA>4Hb?$JK|i3y#_mSYUaEhTeK{up@yLJ;+}3!#d%{*&qf5A8|u znh$0XD@6LE7s)M=_br*cbYdfo$iwBH{rU!O6l&T3nu2jgz<#kcTqV{09i=YhDJIQ; z=+To-tS1Pxzt?$m(CL1qGbY(mWpI4E_l(dn>@CGjI5ed;bVxEDJh^7wrqg%azmEVS zYIGo#_#f8H(StkoCe5QZ0sbDI?A+MHKM(%qyD5%FJ0K4?>{s3j~h^Y4k7y({>2|m7rdf<$630I zsx!1XuE1gqUBZjNeu$rOxjep=pY@-ATL%N-7f)eSmns_MoWoHEdP!4AcYKqNlKLAF za~bS6XqH@CZYk{Un059_`}0v=%4Gkeo~e=cX3<&Amb#H*XF43r`Tw+6FLT+WEL{Aa=*iyJW%mam^3p^0 zM~IebBt^l_iK^noAwh@bIAEpne?CB**aTg0wCn>k5KUmJ@WR@Lb%fpDlD6tkJpcs( zv2#Zvhc}*sT&_s_3^O4X?l+OtM?HnnF|OGkA{yvqvD>?<_0A>2!O}u$?<#-p4-CC~4oR1#_&r>npzN2yQ z5u9(L>O>A07FE*z?Xrm-p(}zZ9VK%hfI2&%oQ&}SU#M5-P(|jwm;iAHH0LH9(&GLj zgaaDQ3$GE~Ke{1KsY612IR%ld4FTlt&E^y>q435WqpC}-iP(CVt1Dx`u7eOlxzBiS zK3kGk=YL5=0aO<>Icsq)?(U8;`e`HQr|J+sP&q?E=Y6FXi$7e?Ad}8oS%oE6{sfT( zz$u>Izmp{Yv;0&j9Hr5s3GvI9=KL!~`mip@kX`BUDGxFLE?b6bIH51Fu-E;q!f6yF zifb-qTn6d#6e&bdLH_jjDw14DzlS)U6?)#tt`41#&xn~|!!%!5El-^YVR!HroNb4P zeqLX73@hFyuKUJ?iUQ*7RJG#Mb7hO!mTs=XnL6KE-tUsb@iwZh6EK&1;S3E2_t@jr zp2xLZZ=d37E)eS_P-w>aU2g&eMoDOS*g|J5>+_hk5Dxv-z~wWAl4m!e0YZ)mM!nx% zU$`XHw4yUFG$xUMjv2;OjPPCj$L2(#>uAx-GN4{=tAGIlvqWuu6xTu{;h}GO#}@6C zzJ*Q#yxmc>VtJmvM6*fsVY3KZ+F3Mt$hsQ@x9OFC7=9N^fBf=FC&TK-L`mzJr!&1R zWqJs*mII<6;xf{!e_R`fDDl!|wf@*JKq3L;3%pBJ>ImQ9?1}Lz{vNU2eju~#E4!%` z)vI>=+k+Aa(==*37{*<@45Q|@BgbQc1HA)cfmHh6Ya>SjeN}JGEo8`h!=|%P{!An) z0&M|#$7FT??u`GrRD)L<*@93KwJN(wJNU4fi5^7uod1mrSzya4qN(*`meI-hcNMFM zRq@6C0I>JTgXCfWrvmnv?7sraCv))%?A1xh-)Dudc@^DwbZkd9TlON1kT@`kZ|>w? zw2f^E?BYZ;|Gj?Mu~5crNo~4Ff_2~=KjNzCKd=NV8ix(a!`I}s6jE?j50hU=(^@qx z1keIp(@F&)w7sMDnG`jfQ5Zz#JF}f?2z@~~9Ztk=$3W<^acwAec5A1T-c)mu0&mrc zvy~xMJxX1A{WUZ4No_F5BPtqmbPO8*!CDB21(1>O^<=sX9NUZT=t^x7-Qo|e)`lQ9 z-7&UVvJXm?UEi>zlg)`!7pu#*5K3;h6=9)$iE&w?#| z)vw&0f=J(6YXYs(UIn?;4z7x@GnS6qxfc^>#xF|BTP5LWdUg}Ejp ztR~x`A}13z{q>E86jnDy@_>PKCV0(yyTNNSR<|diwn2@s&e6!82>)f+#+e~-b&-gk zndR<`Jqoq=-K;T64RDmAJN=w$Q9H6!$KIJ8AX|5WA1SBqn0z=u7-Wj<)j?+VnQVM- z5&2oZFK^~tF;OKd^;?nO=%J+fJ7cWKS5LuAOp;eVEGDGsoQ+pn^0NErRHH*7R=1nF z$Nr2J7UN@gfCA3$_pjz71bWo{`gkZ|sSf*rMSQ;%zvfLr$W#Dx?(WmSMkP zn^ll+xN-Yi-8X2WFUs?09Fg$(d_0>r#A;uP-2B`P4K^AKJoQ(#vH!I+OsXvGS*JyHH)%2Y zU|yC&DlovxBzd-3OrzsXp#Je)J)B^eAkqQkRqZBU5=u`(b2;j5X=k6s)B++Xha&Fx z*gJhz_XwV9;scD4F z>+bk!sG1k5sM`|OEjE+AJjmwK5;mZ4_~Tdj4v|ZsW5Tk1?Txd@2x0i=|t#TWA zG38!N^_>%#OZ8xs;68avV^RUjcl#gUd2YS8Jwh7QlNM>Nrg+3ikq0K({G@`;zzN1t zinKn;OS;`ly3_RCb!lm@)Z*nqv})nyEVH>WK!*|&7{-J1u`88b|72FFR^+tp+s1Si z_igYy3kZ|t{~sxiC_umVfZ};b57Cv84HN7Xj#RUJ{>!#4*2@)LISqlW;uss1=Fjx0 z09v}UNZLp0Ged6W@W$TIVt0QiBTp3U-szoUgZ*>E31&~A24dT>`;@A+oCY#}#7w)w zEIpS2x=cuo7n~Sm>WGl_R10mLOX%$$@q31W0(c8;?af8(G5n+dVoLW}0;_h+=gZU0 zSb09#+5KEsa|GEo@jm4Dbc*$!BjrwpolzRH6Fgc??o)Ke#>+^w|47&$rwg!Ws38%C zTjlW6(nt+MPPnHq@Kei&)mWDBsWgvRSdm8Fm%dplUB}m#@vny7lkgQKw$v4f3i3To zaNwM;cx`;V6RSuTtyNgN_G|an z+ZZ~-KIjE=jkfbM0z(f}O-5VlJ@ox`Kbp#}UoJ#n;$ z@KSE+*XjX#;TWTEO6jgv!YVigA^4_yu+29hvz&JYoL}?R;7x>bQz76xHq}M{fcoKv zJlubpK&~p+_CZRMdx!6J895u@FOUtGE;tIEG}5_*{ks)UfAw1g^eiIU>Cb!Z4Vvw_ z-Jiv))5@rAX0Wg=qLN?AP&YWrb6DSRyC*7QfA2r~m{4R7KXchU>U{>fYQK&C)RtJi z9V6-WaNsj6#dF)?jfi;nkQpToaCOki#ur=F)7;=(kuj%v$06`9zE(Mgr)|#^aqs4b z5%SqU`|nJ&<{c0iSKcdlo^*I~=#Ta$u-e$&#wr2(K>ZdZG`Nngq*EM!G`|d?C-I#S zY++8HWCxtu>6wzRk*H7r_u2x`BljMINjB1}RGD?sNixMk;^W}em{!@xGE6Sh2dZbm z;ab!PDy|1H$L=693ZMMnAe8`g7<#E(6oT&a%?oC58`0NGQSd5EsDJud({%J`1GmYN zowsv3>-%g;2-~^^A!ouWI{r*0^tbb`n?ugr5*Zb!$?8Ci3iMEB?Seh`k3NLqMB=kP zR(A`t9?Citrg-m)1|Nna+ntU#wt|x`@>+$M^!K4tcnl!{xC|qZ*qz$v{IJ&_M7rQg zUS*nDoa7T#*XSx&?Z{qrG~)~4?Z2|32H+Ii-SDJjHR}!PxyK>xr4Ub-AtFqCA#1ul z+CP@?ulU1}2)yqQR4sDBei(VA#+K#zRJH`iaW>C!kScHlUJ*rQnGfMZTx@ew-9N7i z>f|!orgK~|s)cvJ)la8-bTBOdHB$WvQEG{Y$?C2ub0izg-6==Y`kL8jlx;z)Il|6Mod1Nx6~~N5@uf# zynR^{^k%;SN4$q9&IMsIrBi9S0+&0UBsBY?*F;2sd|j(&xA znf6X2zjwK8^;scPPpNnue#=wt1|n3yLDNz@|Ap}>q*LUESQImcK6&j4f7!vl;?STq?f8&DeR{Df97!3&x?5vy#8hUgtJ^W6 z&=JlVn$@$l%_K+`b|81)6SYo2sy!&93TIFAYgUvby)IXTT)nV7ksjy6moF^*!cX1F zrKW8H813TJkGor@IUCrSN4VJW$uUj!AFJ}{ro2}JeY5tt5iAC9jyFS17HNtk)w2S8 zE7xmPkEyJCiqV{dJA{S-s)FRmIk3|NdLZsY@}zo4Q^mugugY@Y*jAR9;{(}H>G{qK zJk}r=i%SA~uPk8`ayXqD#{AlSFeY>MBx?$9tVHlXKpAm_m%|h^q=NmE{aAxGvz=;P zI0lUT<+$VWo)-UuR)JCR5aZPhhA^$0vSklA5gz@`Xo|M(MtI zhs{txsR40!wfU&=b|PDkZ-wT_nzEZhiAIep5{C*>`90M1hB#G>MH>A zhessxb7uo3olmTD5JKt)Rg6HiY6e($fHZo&yMCX^*+|Ni5qA#(=FXUuBVD z--VXSgIvu+L-5H+!6I5k^!AF1R!cw4)`zOzJhJ~bYT#W`oqCDt5@;Zl5K_BG@L+E@ zuTY^KfL)7OTc)>~`rukQ*0^Lu&A8I=+5Uc)3i~ldzo;cD#xWbxKcD0Y!&l@2!z^lR zd)6GhXHLmZK1<_RQkI8%?cyc6NEvM5<9XbFOj$8bwQj;EWxYPk$I-8#msvAQW6@%~ zywC5Ie5u>Q!$Y^@DoSA@)NokIWCkL`aR*}k{UGUsyquJtn#^{l4B4fiq*0OFw7?;) zOM1JbxQDir##@W-l^e2`Y{-bBPw>JhD5gh1X=iNw>dCor$z(hbm##cNq`dcR0S*{I z-j`a+0RcQBE#|Ve5N?EAUypY5?&X1CgSB9{60{@RSdJXw5UxLUj$Y^s3-A{#v1DJ) zCdMGbI7;IR`uBX1gI4p~UcQf#$ir+!rud%HmdM@s+V9aW-md8}46hv#x*C4=!DEH+ zc%XuS&osG~c(+04QWzg68+8HjZz<@8zJ;owiGI>gh5uoruZhQWfjflDZ71A%#(fsb zsgSeAuz0gLo<^4JIJpu>MYuaaQegQcM88P$N%(Yee!l_mR0-l2Wv%3U{YT!O%aX?c z*h(4YgW+~*b7KSQ0kES`L=wpL!bZh2w~=uZ(aiI z!Hw~*xXE0NHcXD3Mq-Bz4&ciBCTBSYS10VeR0fIwZJ5ICzbU;9XdHbh+M7S$=OtW? zq^6O=u9EL|e`D$}SSL6g_iSgVCD5_?DcGszQ5rcwV>6V+HY;TN$fxw}xySF%dfDr$^1obG`6n62s2> zmQ9su8Bm*q8sr7&Y;~9rM0PgdyZVM6a+VpFA|?JO2@Fne9em{zsv!pt?SlLcDRRQ? zFf!h#JcWcZ4#;F4JF0Oo&!)^>m6`A2h=y+Wzj{6oNpo*tfRB$|_tm?f^$UXHP6{VJ z+iJpCqG2X7*s=r4jy+wVZzYxW53KqM_n^{AlD*bxB|3!Vp)er*0F=jqS+zrb|%)l7ysz z#CM$ngNkGWnSq3y9L41so*BX+;@o$${y2&PN#&yg`Xc37EkmP+t@(*}_2rj87I&)e z!uZ!xYd7X?n~aoMT+K*Dt-`kz#%L$sp^7DZ@x#A z)ah77JoF!YN%0B0deH8B=M525vRd{}Mgol5%Wr$;+G{ftma}|uP^bdWAb{8YxhR06 z=al5u19s>enKE*JB-w=aglfmPtW(^N8A&z2heR(akr-V@ z_|DIA7=b=yrUy7fHPq)BBpk7qz$xUXcM@b)Ob(ezoyik%yDdQvI~7SvavwWA zB?O9a45gw?T>NHL*(BD#F$8I3ad9h3D}v+m8iK!x1WmM)ig1s?UH% zL!|FfG!{yFyC|pN+L7SBa5qq4{uRq~*0>iNn6l$|fiT>%{G2j`hND|FwPTY0Ixz)^owJMW~oDg<^Jq#8niHc{>yGd%?W=pDRX?GOkfZLb5ext8vx6Uyt>S>N!+VloNhV zHxQ-uy3nHvy7)e-XT3m7i)TSqV}X`z0_$zKeD6AI+?%8Or1;4>bx?>?y}SM-z1Y2c zJl0IIjOk7n+vrxQ$o0T0$9rF_f=bc-2@?V^DvMwhiP!JNJ&XI(haM0H%KGh zAT4>%?xOGSeeb>h_*sEHd!Bh_zVn^$%ySm^YqN_HFK_9oC+|oN17MB zp8Q?bJO^^a*G);PPf&ssKHsiZs#t$gdRph%Y|pGbt4BSrXmw@SJ1AAsrD)Sv6TIGz z+&4HMtqr75TsdEy$g^JyRvorl_ZaAnG}Nzj%#^XWupe1Vi<^o2AhTje81MM?E-Y}N zuR+$H`PyI}Fz&&6R&a%^lo3-ve$$B9*-+k-Cy#U?uT76)ZsLVoO}Xu2*;qmhG_WFs3BhnH;zI6F>${5Jl3*hVzoA26c+jkn&Nl|2Llr3+9kV;-f5+B18JMn`1VW;!n4 z5*gW~^&?uvI>|#Y0kgDXI?uWs1^@vHQH^~GMlxno&RKQbH4&j0@gpm`u!svo*%BZNR=heF7Q1TD3~T>|d){^eZjgznA8f>%s=i{fdIaS7ghh|b%L z&x`@*t{)o5RCV%}>EIA2P27_-Zdtm!Sf$9B`ga7}iGSZ=(P%jAv;N~bFMlhWc4VlHkcct}tYrV?PINI-6U44* zNp9+?_3lRWwde6mJhwffmHh=gy`%MY&1>QagoQY92aE`lE_5u_%y{9*Sgi_S52nnG zw=i^SfNbW9teoRb=xU7msdsGXi}VIII!cJclQuL6^fvE_cv7opx8N(z1HuSv9xO#p zj+)8M)>%yldX)mvmuQ&~B^3!Yg^xD3Z54Ni17GjXWmTF$u)wDET z)D`L7+lgh=YP35)RiM(=GUMjN>(YP2JA7OJ9^8H&$Wp;{_A=OT{{o|YEMuJ#4ho)%KUK4dP zh)kO8kJ56FSlX#(M(9z;v8p{Z1QE@qi`v*kHN4tB=mk(%bYc-LkC29jS}jK^WV&RH z#bb}B;zx4t;o9eJGc}*rY>8>_Vg=Yf5lvz3AHE@exbQVAogd-b_=F zVetU)eTWB#HOB9b0(g&e`ff)AiP^E8Qt~?w#EG(|Riawd>(LbtNZno+dV}qMS&1Sw zbVBKD(6?K&rZyOqzbocAqBU`JNIU1dFuwm=Z#SmfA_w&Yc{HZe_FWItkN44dNF^Wt z!@;20AY>8S_ZweGF;4E{2PWD@M=RNB<^a9*3oDGJ+&;7RsvMhl^gyBq4bRbY9WOi^ zS6;ncM#gP1HKcQUUkY}my$DFMu4#=)qWN2}^|M2NN**V-==aM3Zf-g2)gT^q$u6>y zj(+vDY-{YbRe|^h3j50BzzJR<&Hc%T@wOPn>mCK7HP$lYtM)!k-oIn7!3{pgQfh~} z9D~=t4(&6~vnXpU`o!A<%X3{-wldta?v+JRwZqNrF7N-Web!pp`ZW+h{F>BhtHK=W zeDW?~Lpk>c8lI{Ph*c-kW_TBL@c7XWIcbB=nw3I`JD18SZ)rZNduUo|JMZpG3s0co z<&a>j0?;;NRG+W*?OL$7q@%Tvz@56lquWQ!%B48QA-Gt?O?H$|)j3WK3OzAfBMyni zsf4eqFP>fI@%PE?eklZY0!v}%f1H6joGZY8MnpyGp--tKx%fZ60f$6Mf-!<#GVzD!c#We;6cEOZCEdSV_0N?VK>GV^AXN0xy zuq-wuLV8x4#fPD}X|ac8y;(Wgs`3*WSn9&{R8Z&7ruI}C@1NWEwaQToLTZbr z^xD+?J^4f|rY)*{QJA~py}ghNRO{WcBzfdZ-G4vamz-=O)E!7r)YovjIs)` z&w1&Zq^9W(0_R2^YKtzn((fz+0 zVx#nQ(~{K`8xB$q4M-dN3`1-KXR>q5|^MkaMFWYMJR#{`r#W6d5wj9aGP7Rseo)(@eFMic5vsG2gp zJv&<(FK(hUx;_e9HdeQg4tw#VP98g@v`Twu%Mssn;k|8EKq1$A4+YVxXNc7 z1p*vbVoZc-!GAr7JN>&R0*_^0L%u>E4a=-rMa;Sl``FFMyuY;>1LicbZKkB>tjtns zbQzbwxc-bP$x$4Z1S z#-CaXC6Wj|M{?knz~jx}kvYML%0)bZM$L@vxFg4{KY(C^Eb>V!w^c)}A!&n~w~V5` z5Gx@;1VyTV0wY*^>g#F&^zfbIJ`_zXexO`eFevcMezdP}fAqaC-SysHzuDz%l2yrQ z)0)^tb5z>vhi*fti;NQj!KUyfdb2@eWvKW>HKl=F;bK?OXIJB9Kh|ufiBPE$v^e$t zS)y#lapS$jAkT7{UJZ;T>=Y%|a3i(|@8Uw~9(`S{-3$GEiWkzxU!fUiw|}?ayN>YQ zEO~D>=g9L$=v(>Gyy##UhIK}pCQ(lmYE*W%*+|=mnBn~cAYdxI+0ztqBgyi9;ta6 z$gsQwWd_xPzsI5CQ{Qa4cx^tX*7j4BbI=Vzm%A*z$LIFG=%?EsJE3ab20Yd)#PYhkGUQNA^5nXMnd|qRoippIp4NJLWn`w$Xb)Vf40l$)qIuoz zF-8AW?%Au&tUG=0SN|O%awvz1s};i%MHkMl=__b>&%Nbo4cISrh@wdzM*z=OPa}M# z9~apjfq`(5MuHC37-;#XB!dC-kf%flv1&ksoPEfBlIMCA`$(PQ0BoY(`CN$V1QOVv z?JkOWt8UTZCwAgBm@cLkuPZnuDRxXDmeBR0e>qb+sNU=6f^)IQD+CMsgfvG}Xolcq z;e-LkjU8(Oc<%jTWa`$aeUFZfvNDurzQzyC1@Vl5wyl`&$0IVxyehH?X_s1{g8WpQWjyK*G@k+tfqA@z4M6WZ%n+81A7zoImkPp$Cpe61iykkR-DgRg6%;i zsNx9>A|ccvAkRFd$XuiVTy;X;Hdapa5#ryI4Jpx0^#`IP>IP)H>m&kK3%T6O>EpA} z5jKvv@az2jC*TwX^u715&-O&phMo=?8`J*>Bb*C2`sC(cO7b)ZAt3f5Lfgo|WA{HtX!aXLYW z^`mS7X{sc><)I@6%BYF|ZbFkxQPUo+PK9&6aMLmSgyZQ}T7ctn^u@Qg9>1NgkE%L& zoQW7xNCf^#jPO?(3eXoKxMjA?b<`vXabTVsS@2wkj~~8qbU<>Vi|tRe5k4jtV&f<< z$OX~sW#m^eb|y-T8r=If27cPca>wBGy} z$_GM`@*WqUno{F^m&ISXWcK(Xk!Ir&uS<7NRgd`D zLKws3jmU#QnxCROqX$hT&nf-;9?M4uM zoscfnwveKzIlt=^y0j~BJQfb|!Uyl^jlw37W^1qx1 zsF=M_uqj1ofC1*0$^m66Ly2tqQSyiw1&B!~kufQIJ0C8p1pFF*|M`mZT-Ztfv~CO} zZOZ^pyEopw*8qW@fRO%edh}{}YCw*$P)=g%$uOU>Q^+(267`>WFph&pN*=to9VYAX zT4+h`=OMuQ8E-UR9=OVjoy^d)^ZRwbK&)z{@|K}cXLpOMC)bgSiO)iw_w9RQyFL}u z(>0Iw>Tnut_kagA%Jq}ETsou5?#a4nHTxbMy(>ezOD?n(hfCm%i-WN~d`Akt9k+ui4k+No+QXn*{Oxu;*Ks#jh)akgjhdWFGe_wbBs z*SD12`|9Fb3WdcrgS35+Z=rK(S#RINRe7F6ox_^J;=(S@N3jRRY5n8HuBDa4r?(wM z!&*}AUJ^PsvgOuGEo63Y#a|Mx-aRX}8>93L8$EV58hJs~czrGn@%hG`FuO#hve=ON zk!W)+;R<-fF6FIji;aHq^a25fZ2^aY38#0Xn_oWDwh8unp5)Y$#&fzwZ%x14+ZwzG zB&6oVWB+dR$DR<3JKk2IZKt!h{3shfjNc@VaDV^g>x(gEpY`eZnwpyZkfzh}VEY`g zsu0FMe^Cu7fGRB1crGer4ed(_sbSq*QKrOyr=dBv<9>Q1#lM{g(uVRbl&SNFxq%~% zRB&}#{E$&cU$WhV&tdqM@H7*nUcbys`(n>S;;;ut_0l4*1Oy_pJ@=MSN1IPcqF>c} zGi%%vu{W^eWcpp>vEiCr(f|?Rc)%8!7s-{&!XCB1VA6?!6D03vGfc;S;I=W-6%bEnJMoeus z%)D){`#&xWJsOKH__w}}lK8-wOR{b_NZ~gEgB;2s{N!#fze{!aLEwpz{-Fw?+PbB0 z<5$%3d_|qlF}_E9eNUBF?ux*_t>xd2(jyfZ zXM3Psk&BJ^6$$>l^Jqc>tZHFADVVI$^gZ4mcB*aYRXrLWe%a7y{`%Jd>hQ3AZ;G%% zQG$pvssaNSYHYf0(05pbUEy#xLbz!1#YjKv!b8?f5>mWMkknHtN!9$;9w3E)4$rmB4a?{hZEZw}tJd~b3k*pR5&rxIYty;yasfwN2!7jyQA2%m-lj`l-P9j%>`XH-Uwf`b+?(e#r<;1Ot9W8 zC2`KEucj;V=Dz{gf87(zANET9I}1J;7TM{$f;sVsV!iH({&4x;@V1KScW84+8da0- z@vCXhYrGoMLCv)68Cpd83dcllXp`X=_TD+rSW=|C2?9=ih|giZi z5Ou`mz7o#w>e_rJ-!$0z6$vqr%#6)5)r|#2-DGv-NRErsxn;g?BfQH5L?_{I5}U_H z7SWCR^F!wQ#?U}|2Cx*HRego2f@@)Les1h*#rCK?Z4cEC!G*a|rD?Rx>})ZS;+JJA zAF(hqImmfm;m&+9wA$PXC%jyH9;*&~wZzsTv#FmNQI$t2cA#(xz?jQyK6~%1)R}eV zJml?P;zZc^9VX|Ndk$LhjXD0J|K2Nr`f!w|^$Je=w7TxkWK*hgcTZpui~%9Aq;<_bc%G5zyZIQP9TwgfqVl)Sq>pUhgOq)1G=7d@2?_ z1=k!5(L0TskIUF`#-$~8-u~k!h>DC_CtwYi*0Wybu+psf+l>rxssr8eF%~1mCH|$F zZzQ+~`u%}2Jb~otd@=*OjGcCDDdt~(UTqTMB2W`&WWJ+Sv_Vvrz6McHnnfa+n;4Ns@-gs zqKN8^I`|K6L=tg+KAC=@xBrwD4Pm(p=2W|eNH!GoU~Qw!7ekZUA2_UGH757cxk(;{I98-BOoDQY$-q z#XLoq@K*HD>C2Kb@YBey(5U|`k3~ws_Q-CS{F3Xucm(G+!b)T&=Cr8c`tG)=&9!>*QSa1 zu)TK>I`U&F$srXi5ZDSr-#vnb;{2-ZzVSWpJ@x(Am$QsV1ezE|82~$KJXmTTnix)U zpiB&eMZ>%gvR#jRQ%EiiY~c_$)U@oAf#UQk^Qt%c6gM`iX8{z5eD=+so(5dDG2Z9+ zDY54<(@Y-US}a}@_e#59ya5@43bPDEl zj?lnb%Jc7_2#W0(7dw>&(vm#WIbW4+r1|G@2A2nna4b1};y)iKHW`lqVSY*fjzD$Y zS59yerO!2V~#4Gc5YgumaWfa9AV|Ka~GN&=BI=$ABqNIL)v^TmGu!0 zMxl7dJ{;0KXm8uEhtyF);B`m(@jF;ctIM564JV?x57@)byMT-qF{{F~ zbHI-%+oxa`+dj^8gI}xuC* zC&b(Cij4+Swa@{(#P?ke_Km=^%HNgkWgyuEYxA-O;L4M_RjV2UO0mAsNm_N#)xx_` z$CPFa#E1Olkh%Ei17I50xFrM#`r`%WT+6Hg)j^NJj}4Q6DIx>rU)bMfUv34iF{{h` z=gslBfme0x)Ei=H;P`K=Eb!kp;>^2cyK>{hN`WwW)D70WrTuv4MHU}>Bbh#z^1t`* zuIEq2J!@xV{T}8b;XcS^eO4AzrABIUu+_ot&k$yp3c^g$cThmeT8!bJa1z{czA<4P zsBK|$wvdtsQ8q#yL3aop^`le}8elBez)xr`GF&QZZv`C@j5@|%nRUlk_y0uszfv5+ z8K56PY~;o>EbzKw(Ii0ilP2&U1!=wMRR<8_hW@M`@)3oYE0R{G6d_in8u{ab$97TR zDvM(YME3Es>C9r-#*-_-uf10U?1_7oZ7#e#@aINJ6SL9ro*~&5XNCuhFdcMbGbZH5 ziwXI?H_WD6imqAH#!vn$dVHX!OPBb8D#&H&6pz2evJ7 zRy>-6CZH{A(J_TDkM?T4YM~LG@$YscmJo-@85P5fMTU5zj5f7`rI@@B2psch%b^T9 zB~;a>d9j~{$K1maxJix;SJwZDn15dVjUCFz#(>~f`fRQUH4`w%A6K}s ze7GRMwsOnp7!i9|j>K)H({vBW15;ny%|QkYBKyTn*PqC(>^|l%-PPnNb?6GN?)z!{ z|JiXQLBwPin|NdvxslB_d2`24O@Ux>LFuVIrF+tr*peX)$Z%Y^+$kwjc&hzUo= zbk+>s!S(kSL#4ecs0`5sygi_WrjPK4*H+*~`*2vt;BfZBgXcigQ{U&?tLpwmgxC3@ zb8h{h+E!q{*|D3b<-mN?447c@6EyJCohb^A0ivBKu>w8%dkt4Ea&IBd4*Y(KVwTY8!Uy0AHBD`VU;`A!6z0R8B# z*~E(LeoNl6Q|YqH_solyyH#C1CHQ!vDfsYvsb>dtJo_q+8x`gcoYX&nWZ&8(L{y>g zF%A!pyShJ*b*S5O#I971Wyrl;te0Q9eMF65eSde0|B3%#Lf>;VIpC4bKyINx7QE1@ zqK9i4{1U0@b@GOjUv-lW4zd#0pDWjD#P%k#QZ-%0WE{{SNbxR~#G5OgS$lJ9L~^l*!D5h6u!DSVi)i!OapijF+!-QbcIPwC;sawb9x4pBb!p;r@UKb=RqVfnIi1 z@;2OcW{FbA^G>GXND<Lw)w+{cty+p^3AqED{v{ZyTo*OHL3D4QPkP89jk z+wzRBG7KXjk-sX^&BSdRJVkZeG{)rs7Ue|I5Po+2Bt(kZYabq)H#9nQA89K&q*x$@=#9Z$Jg+c}3A{YinI{NN8m(0uE7R zT+%*Z<}vj;Tl};*$`l)>e?S?}XSGq|w2u&00^CuEdGNvr+y4q5h-l`Qr6yOp7SU!L zQ z0R?}EC#tr$NJHZiqIZo1S_Q_6607!(%90-`ntqZU5x{5Yu3O=VkH0H^xKklAOt=6tp;3P#4+7u!-XoP!Ygci@0^ewd#6T15=Qo$VJjiDh zVL4tD4lp8fY=HpsTsG!Uf&`}n->@(FPwMOC^18YtsGi(p2n-O4Wa0p3G#vB(xo>LK zfIv>=%um2T6)OpqegECt%dh3_9#JNI0f^g|#>RuNy@6Fh_q4EetoI>MDLc;9t^U;e z%S3_6S^3qe5X}93p8~m2IP^_3qlwogn2S5mpcNm+!xOV~(*cNw9HK|~3o?0rp73~qpgO=!MG_dZ6q=#>IQVK8QaGh8 zmjf&}0w}^v2M_D@X9Y!{d*;D_^HkTLroGY5mj%wk!;z88`gO}}NtiHW5%CX=0(lqd z^0B_GDzx=(%2sACz3MjS=#VGV%6~h0-siEF+Tq2~pu3~*{RyZeRx1x~l+wSx6z~Rh z zE%5vpe8g4zFy4S8oclevH2k3*D)$VN2nN6sT6TVnS?%fejkI4H55Te}ls!s_zt(4h zzLX*2C6)XyM=?eLObbT(?Rqk}qCPY`Lr`{RYmijB+3_u|{VP6#nN(pOa$L#nl2%nx zEh7Rg1p-H(Up;U=%Pz~L&!YA-7%8N2|xpXRT&7Gw!i zdcC}5@L@e9mAr~V5!Z}ztV#DwasTrQ)5X=4@Aygcc82WK*M ztB}AJgw>1ii2=6l%99Gc*#vp&RH@)_1j<9GT|pNHHnsqR0ODOP^-G?G#QWiGg-jk= zJT$n~s@43-9{oQIo{B;oVs*(&4Hx<8IVYuzGcwC=u_An1m>K9&EAz5`f+L|r4$`o; zVEHqq8)bs>K0txKNhz9t+6pGN0%+7SJ%Vr`Axon>IJe>ULTGMo?~nEH?xRb8$4Fkk z97YcYO8uz3FNL^Z6sbtA6*KrJT4Hh%<#SKHRfDrR_ovjrvf$C3oNoeOdR5$g*fV|r5OsC2m7X! z!$aRl!4Cs|eE7%p{`JaCW&TI!${oXApIBPXg+|_P_YXl>Sf++$9Mg;xGX@XCp8bc| zAc0CywC7l3u+I@|4pdI%yB`^N7WQXq;x$UGr|0bkE;6yXMdC*4IRB!O}Nn;(Q@ z225+1iBrxJtf@W56>2b_;WUvLPd8BfJvuweEcqK17&l|PGkUz^6`SxM(u^?Syd|>G z32=l50G(oX`?A^dP^t=7GkMFp!bL7e6=nP4Enz2>O3G=*DeUdotT93`@lY0s_Vx8c zATdRCTl7T;5gO0~N<5e9qarx_{s(T2X>h*&=(D(4tBiv2Uc*3()838_id6knC39{( z_Jbd?g-H}{*z!{k+xs7N?-!Dp!|J-#wP%A^-@~Fk#T)h~g*MHHuV(g(sV)}kcuwrjTQMZ}iCod6|B(N)ISaevUzt7kq2pk<^ zGbTiTI2E&E5-xIspQkDShTS8ZvHPT4RYj_667`~$V_u>6j(2X}`^SYpqV#x{B-qLiE_dAMq;nV&-cL=>34k(auIr_=XuWqX zkkKkPW+sMBH>)M?O*&Q&5|iwY9rvb5f6Ne6%p*(MVC#fW4*rR~{|Uv8kN%WzW#8Yj z@kAtuG9&idtBn=c%Dc6m>S88K&z+-6>;jWnK~RmMTW|Jz{TO zQ5a55AV>j^Fmu8T|0ZA=|Mf4XPw~-lJm}!{1a_Kn0Wp#fv)HR*OZ&I0ZaDNWP3p7-wgX=q?)?iFH zO_{etzACD)6NBIU^zh&e{ha64mue#Jdq?!M=~`$eV_UNix<@<0@1DEK8u9>59LtBZBBu59-_gvPl3?p7ny-bL^e< z@-H@beVNgeD1#iMe;2uDlM19|bxyiDG`+Bz&VEHZmBIZas7gBaN{#33*pGzTwch&w z@PUr6{yWuwE4~r*HPtv5{;!pEuuPLLB7{v5e(iny5>^|FAC0LS7f#kl%3%d%rd3N| z9vo!Kvv(8`$=Ppjg}WVYB~QVOH)3gfQTQW$#Y(L6_S*OSEcop=00k!qhJV3 zn3Y|Q=!~*Aa><;oS~BP{`Yh{G1gkHq6(A=?Kd*wjNkb4rVmBTO{3;PYkTYsbAZU#d zMJi3wd*5@n1iZhMKw$mlK#{~?7(7)!YQDVxE#EGjo`|i(O|@DSo(7vy*9;c-Zl}4! z@4AR6(D1nkWB8L*p7AOc0ysx>h=fQ425VQK!FcvPJFyWLajhM9Y1AjY-H(r^m90FR z`D=bJbesP=oWSeBILqA_A^5Ymi1%keTo_S&4j4Q?gRzvp{6W|wAX)3ry;&hx!#e2% z7#cv#9#4217way07bjZVJQVwpuE#hU79+5j-C=GWaAd{8DUK)zsC|(chCj{)b0aP# zqu{SR(=yEuueFhoxdX0R$9s>zDgvE)$My46pcnwq8|e8dCQRvO<{kzAIyjBD5O7$C zBNucP7x(dbP-x)YI@Vm6FW;S!RWIH)9vWGLpVa|Oi^=M!I(m~hK0=_wYm~Dl39c=7 z91LXyhm*;N9FFK(H4w*x{rxRbJjH3&*LEWBdcDj$f5r%m97)SzVwvkJHuNO%Yku6{ zr{{>(OHHZEVS&Q$MME^dN#6G=KmmnLQZiXVWq#Y z(@~D(H?A85Q)4?PDJdpqowppuic&sc5iJwRNIHH1+P8A%j=8_o#m1*txK z54cq6{+m3)C4muWGu#w;@H|&Qql31mr`K{k59?Cq-TaZj2)p%dth>2yulO>nQ&rlu z#=B;o>N67M4T9-VE*PNX=ws|k0QfW5cu74SHQS!dZFGQuhExo|0L_f(Ji5DK`C6fX ztnl3Tme8DmPP7Yj>6b$Pbz>;Vo?I$@|*|Nki`Y z)xyVPHe5i-&fJlHP#8}zRnH7P94MLk1eJM_Qm{3;X)0W@aa5o$q)C({YEiE*>RhDH zYZ|JNdn9(FYgeoKC+FL};OT;QzUOt3wTxcc4y!t#a4~;9U!(D`+tw>BbZjzLF>~-Z zByA81dn9M`6gW(vac8#G8AX^K`bf9rb1dTHlK89=^no@>!E6OP>$vht+OFYO?Hz5G zPbD~>T)z=$3$)g8=7TcubpyEIp?oR{>F0;QcCY~DkhDH~YH}%H?qWncYJ7vgY}-?# zbDy0|Vyarck|DEFe!%%yqEP$!2hq%B9WWZyPNCVA;+jGC^$GAyvclKN|YGi9iY8wGI|7CyV z0HkowcBVyOtnNpYVgMio{EiK~Dp9Z@j_o!1QF}~W5je^xc9o4H`NHboBfkJSB1D%i z#DeOt)pGz!gBVD^b4IqeO=OT4JBVZD6JBxlpPx}oLiZWUPNPoZ7Q?g&P3ht@u=v$*aX3>DO zu!$GldhqMEl*_<7jg5>wZQq#&jGVg##@F0>dGof`=wE))zL$wu`4Co+UZ!)_3tPWh5~fIajCa zW!2Rkt@dx^f(Q_X_anhl%KJCcz9lBgyZfvFJ#amUgy~_=ktxuD2EN>_MFp>gvaGc` zhxd=7Hrw~?gTHiMU(iA4%Et6PZS8H~bNnoJrbDl74n!tOO=vOxpe8QWVswZ`(Gu7Tot(LQ4HxA0#eV2tIq5% zrA!{+@Kx++_)R)CHuC3)I4&dZ&tt<9y|DHR8`LdD3N@L=Jjgl=8#`+ zQ0x)Ds2#RLD;;0S%&d0@hSH zwNn;uV)C@bZD{+ac?K|-}s9J5KPTQpc(l*21fI?lW-PuO7dQRhlQUcuysr&-T9!}G9}>?uZ9g{&0=z3 zs`?}aBCKvz(inI>ONBUr2TN#sbr7R!w zmhKO_`k_}WTZNecl;*%t%wYj)!7k5qAUpc0BE+v~V=!*pIv)= zskHA9?|-Ev_`)Ttdn3GWfy;z0srEs)P%`>Lk7EJHLg`9oHQd;am~k_S7@Rapi66;B z{a>O0>;ag2r;2$=dXfi`4lDfVdhF6&`Q&_5z{~9C5((RxwS36UVM3PFU3u5Mh&Ui) zWEI4E0VC9yAD8w>w#NAgj$+o7(8Cjnj9WT9u;#>q7&*TO;?6Z0Ai-izn8Wz6NYw}o zn}C7vU|9;@?QO-ES{5H z8uWs^nR1cd(=0gsmxfhi4+ov_iDfnVUawAEN;3C!$9`~47h!^Y`k(5A_`$$18JCpr zkIP13el(xHh!uwQQh_eBy&7R@=q6}z*lTSt!2-WW9(^WQ&qxYDTN|>u?UK5-j>CtG^o;N05_V^)HU7>S?R|mRSiaXa^QjPSI171W zQ=E;8@%9YfklM?GxO`P@3Y}dUtySkh!69b(>elb(VRLRVsQwg~AEM>~T?RZB2Wuq& zDwmme^~?^@fDW)#%`ee3VZ$G5e!dRWMQ;r82J^ zP$3R{>@ko)gP=jG{KKtK!UZ1CEYX@~Ksdf-!ZIU=NKy8(JzF%XHl@AHd!OKi#$K%dOuwXGu8JPY1(*{D{de)IFNfvi6kbtvVX6xGy*&I1vHpau`&J@083H40q)pxx61AyvRNg06$y2>qr)5?dE&PV=~V=plF&+E zEMZDxR&1b8L-#RI)|3w})`va5`;UO=%|0;V*_P8}=pqsyO?Ibit&4O_QRa4pGyG44 znFn&EOp7Ke6b=0>eI_@?XJ?q7Rm9a%@`!Ko*!Gxh83(K#)syRw1QUfoW!gHEyuPi? z3R=)730nsPvkURtCS?D^8Io}Z_>^a7YkG5nl6E^vSPWG4SpY4g1p65ks1eA+4R@>9 zeaMrSe3=OOM3ZZrg!!lc*XnYUJgE%?`QD9F>cp za9SA-v-Fr6vJ%p=HYM_3#Mn2fh7~kuMC&}#AqxPPyB_3vHpSW|qWx)OjEki6NIhiS zz&&D36=0VL&&654`}WQ|a4)0z>d)6!jDzZ?$yWBU;R#Bt%GGxh+#DXvGa-v)+8oZ6 zhq4&QU^O?P>)0VN8q5N=<<>E3kyVt^fnR8d2@3jZ)k1HBLe7>-WHs6#f7EZLuKM^( z4>7ms#0vl&`!OZv3VxQ2mnkZ?;&7rIMr(!DmyEa8mWRip_3QMyDn?T_w9ldP z{Sy%^By~(g02OJ+;-q@B_?gKWHTX)6)MvS5)KyJagS;XB&$KE`5poxwZ;2n?kBUu> z8MUVQVHRchbm=nI2y8A%-)YhM8{J(C`hsgU;_AT>+iij;&_z(MZQ=gp$`LR#WGl?2 zW8h;u^DE$uKNae!eubT@6g*k<%cxuRlD41GHhQV6JOj1{x(aG;l*pT10`_UI2paSH ze8hV-ggMt((c>-9YBKhTh<+aV!4fr1^eGAZ!bD7#i74T~T(+Lz)H3V6D;cGHT=0a< zwslejaM;UiW36POT6kQ7+6Hvy42+)f+L${oyd` zPW40ME{O@#V+TH9EJprGjWlL3rwQHNH8Z$oIj@cEStwX(#Y7BZCR$TFNVK-#2=U;(LIsLTx`8iQy`Iv*nDfY#y;;TNnJ>{|W7#B%zVK(z z9g>m}Motsi#U=`(;1s%wgHaX(1|H-udQ##u4E+xRuYjpnxyS7 zH27(XnimRjL;3#mOBKs{ba;~6d>(qn6G&Lg#g2Md2Qbh-q9OXkZ+zHMWFMFtb4K>P z>@hgh${H%I{56vdoW=d!B|=3-h%~7F+~?P^m(S|sw+M&{B%FVzSdLzd>(B(X(HrX) z6FX}vwYpA@)_Uj1q1Gj9K}j%w(vp5xz5)?~4gpADDg6PNc(#R{E^CkZM&(Xezb0E( z&kQ&;3_HI{7}8?~c3}To&;<3yR>-bac$e;~eJNIDR_zaqF zi!Z#_xlts&&nQzT`)~&+aMH31U6j^Kjqrf!Wcyoxhmx>?bM>_EkIY<+1(*SBYT+0F zbX_27>F#m(3D`ERDi&I1@Qv7@NLP=N`H?xk^Fv*Wo1d%9UYW%K=6W(7l9tK#io=Wc zL^hz$(^>dr;wJk-RYB7QjvCG?#3*=p1IYb_?~l8=0cSeiDSEU2)p_U_ckj^XRKDl> zTl%=>p-{ITe&GAN0bO<@zI-iuzUc&+=lGrf)r{@-mdd8vrMTeG>FK$<{%?GT2ZX|ZyNR&R55rnxE=u-2zYA0#8oD-lZlhiz{YW{J;_O`L#YkwdVRoz17b zQm5Pp%uzt^J~uxn8aVPK_e3+~iJa`io5ccII*|ou$mU~tMaQldTh#VOn_{hcS%SD( z|6ns$qg(WnBR9j$^wO?cz}g_qG}O`RiQ0=fti$8CODe+{9^T9Oq2=f+D498_&<hF_ zMt9exKC_=B&vF+TpGA@CQ{8Ln1er^=#I*q-gv#3Dl%qh0mrTD+wP=;q-8 zuw>{BPF>X$&3r{${6ZJZVXx0VW1SbKkO_<>ODfMu0(kEn(D7C83-TE8!)y~)Es?}D zB!D~0N<7v8h2DR@xf9J-2^**!qbI*VNFZ;iBC%?uqsG$uR`QG)0~t`Zfn%m@UGyFjG4uKLK(Qk#Xn%o+`qhHv zH8X4^=9l{)j-cSr5p2N%6f+{A+L!tOnG~)%X17umD~k~SDQdOZ)mKrbYE<+AQV(i* zyg;z%j*>_-kT3OwH!oi3YI9;vR(<^;e98w*9d?_gBXY2_DqC|w?KGL0#JDbDJ8tRG>9e2%yXcTKb9SaZ#1J7p>ttgTKdOIaq zGKY7cGHNwY^C?R`)sna4Tx(fSWk4BvfOF~9CB5z81Ol(JyRR4{Q}ouac5N;`_(CbN z-(cyRy%KFmc2e^{b8_=a0hjGz9Z~r)-Gjr5I|WFYQqXqLq1ln+qPpu-beEhywAx#F zhI(}I(XpT7&BNqJ6DnK@G=Vmt6`s-71`(@Ig`DjKpz%z{9IkX6k zP9&PuF#0h8z;8T1v|moT<%L&dy0@iEC0MMG!D?y5ln$tf_0&}m?w`FpiHxbcLD)(G zNQ-p0g~N%%=d%}4UHZRx71z@Ibh`3hFDuP-H2S{ke51p_s8kv1*+>Fq_SBSFneH9l zvv>Jr@=EJCd)bh~UFKo0(*qw!;S5b`_P|h3!7jfybuMVr`w*;d)fR^lnet_jIX(}6 z{4ul$DV@_)9``}WcJpi*$UtPK)UF>JcBD+HqN2l<$dC?@D?6+EUv&-8Y&c(KpQ$bctGi%@GHg7^Wc2ByXlMy80Nx1sZg#= zj4`U;ulGLA5?U0E#s43;W*r!v0#Dte2q)qzaI&Le28LOKnIOAkxF7hD0;*9aM-!-p zu=%>W$)0v=@dUL&*@srg8tI+elw&qm4CsJ~>|A5nQ0>dB3Sf{~o@_Q|MjE@#b^9Bd zr65yUv4Nrf_xrl9$pV10xSSF|+~Hsw-a%iZL{)BV(D$t}iMNtyGGy2PRG1<5qtU&+ zVIOMmYoc2j(N*!{Kv(CHZH)dS*A<^1IIH0F2GP^o5_0iq;963D=o2%Cramrfu8x?2k`z+8@ou1iu7Pyx?AUH z*VA9^vtcKQzUQ5I(8{9e<6X{BqL0xzH72jq&)nJseRmH4nv{3O5Yp?1ynncfm`#OKohz2D`TJTSNrxd^LeV1Cmm z!PWe}X%=Z@i~w|YQr?h1T>WgZJT${+Y1D#58TSkCab!r)h_fVXe%;yi5!wIMqx;^OnGcst`on*bMS2 z<()tFNAH6YG}8xaqKc^WiQ#r}FF!mq_`a#f+hRa2A{l2G?Yz^%?3mJxm@~h^nO_Np z4e!?)L6pB#C@Ov#{gQ?0Xkzm1DPtw3xzk6;;a%kwk(YAaD%e$6YhFSedAY?(`9~64 z3?ieW>iKhzu>E{CrE1Pz{pNBUdA`23p~S*ua&nd{tW?Ze=YEC?R5sD@QOj`*3BSJD zB9PSsPT=IztvdGeYmc8F;vVA~q;y;Mx++wNdMw()I@tm)8xqszo_5=qAh2V;BW$#L zo(d)vW*6q>3ZWj}O*FMs>a?HJwhktAG-1aac~uGY&Xm|l&BdX(AQy2532qhidzj?v z=@P)XZM>7iMW3Hnt%FAiMaqS~%@sB-!NrAqW6Fam%|P$t0gkGAAGVVBaq@VFz;(2x zFOhbMZB)UJMgfK=MG2oB2g@fOhIKB%j+OjA5E3=Mvm1O;yLr47ZJMpz>O~4<6BzY^ z{bQyBDSrP_S8@ASS5^gZK=-(1m0j6c8 zFjw}Zc9fL1Q^7A&h&s{Q)^WxsYTdN0o2ubl2^b4x6cCs`KKwS7#1cx4)4+v;Zn?E2Nh@e)~u=4NIUX%TUy#xp45av^PaW;KOp4mRkYid1l-y)`WLd0)O*&*EuI z`vj%|9zHND^WMz-8aPVb1v~@7(MYeD`=$#9yB~)zNLT{jr49kk;IKDc0&wacBaG|A zY63kf>Y-K$TCgd+zEPu9QP=uHNO5A6>Ufo5#bx>3jJd-UvoN|oqNC*qBqdGld9G6l zhRs-BZw)xhh*ljJ;<6SH71uuR3dRlV9z#CS_wbpH6$SX4DbYr79oIiO*j*ox;ndVU zA9Wk@*n4s@$LC5e)Y#d2WG`oz z%k4#VI>4C;iI@JskfA>@ML^mjE%J4%0{a~1h5R$w#S{tvf;m@0$aC9>l#}8IbSc5h zpYtw>loDA01tpkONF-?t&~+XE4^wX$6bILI?FNFoLvUtrcXtm2ch>}WcPBUu65Jhv zySqaO?(XhxXL3L9S9ShV1I6s#-F@}ywKMyA{&#Txot{)&bMWx`V4;J;;N>nh0sjmH z&i%q6=N08$**NkiSVYEhjqz=}RrCkU11TT<>KcwZ;mKT&I^8DFx z*>U&#H`2hDroB9360nT)ZxHT0hN@Pac)XfJU1hrHxU~c?;?)W+?s?f}bV@{0D8JsqA-$x#x)+cO;JS){*9*Xn=@H}hug_jKddALb(G@$j9)H0(bEG+~ zwK<|%EIQ@?!D?`%ach9Ds=L+Yq^}ipdALT%RfDDgV%+Wl;K+M^CyAlNy4x;2L{@eUp1Ab(Uzd)8Q_aWHbz^jBpX@+LOTLTcgZX7+j zeT#qR10VO%#ZG}QSc@d+M|FD_GM5M`<|p!7T0X<#7Yy#VVzqov#Qp@{*0yLG>_wf0EU*4D52cJ`V+s58KC`pcJ%r-F{mTVxc4aU-ZS*Pw#>^1W{)kE?Z56Z5)i%spX^Sz( zLD+H+$nBzemGkQCd2IAu?@gY(o+XS@v-~r%e?O0Y;-?EOxf&-Exviu6?E&Uo(XTn# z-JOM%tDfMyIQY(mPLppMrlXr56?#4Rz^C$iQV;}?w4a4OvTY-QFLlxoNZypIb_8E~ zFSE=H*3?>6rmXknUw4D~jlX*jub#H7)@>4n{YYl=8Jwq2BD`P1!PYld`GY6!AH`mM zcd@S#597NrOiCRZ7dqFK=u&;;ZrFb$y9pqtM9|7fOSvp%8PM!wghlkTblKc;`5P=- zoXbI(w$jfpJ-XOv;E2H}DsvVKQj#2k6Zf0vEiy!*h6_N4WfyIXR5Z}qEA5sBIPshi zM}s{o-{g0n!ETCDn|DoI!>Gib%A7VNf(!3EOpIWr20OLSvYJr?KVSqW4i6>?|F+kW zBgBbl!RzzG=__2NPd#H%dN-5`8j*dRcr(@wt}esix+!0w=1rTaJ}a8N(>8G&pO1wg zc|Q%V*}%}eSp8w)CqC(>VL&=lr!K=EeOlCxXV{~|BUkIMh&MOUwLUvy*`U@4naSUv zZB2WGeHw_mE{o5W^_-;!{@rjFP+!!P7{FIJo{}-xKnh5_6a2Z=YvA6%JgVF@2OC335_W3Qwkig)US87!R z_RqyxlqQC>v~4P#yb?a(_3rEN6T76e+Q%YS7nvuT|5S_qeo(ins-Bi(p~u?)Tm($$ z-q&TTI7f?cV@ND)SclXD1IgkjAa?AQ>0NL}m6LW_=>tH`&Fvo5#4N^C9ZrT-EDH7S zL6ak;Yynv)V9PD}N{sJdij<8=uQv1jZL^2UbcOhY^j_#=&dl_*L_1ryu=BaEQ;e0& z>KHUKr2^?$5axu+8*+i3 zjez*kp;M>CS@}Pes6Q@LsLwnr?~QI92AJ<`ZBQkg5Lj!xgShm6{oC3++o^LfY!5&e zQ1}j3?r=toa{Np5vH@>DV@BQl-b>nV2l2;DZe!x}M76HkE{6C+GrY!DMWc54> zGt7Ae@&brC@<_n8C&X8a)!Hq%%4f@dymnSi zW7O}X57&ga@1O3SGy$@utS|ih>a59m?$pC^GHKx<7RPA)M;C|C-9P!IE?r!{VBPH- zcv)u6;Z97WOZG=pCTU^Fz-pC)@{S^o23U_ihNB_sNyA8@Fs< z@y_Rfm+#(Z)H*|E&p8}zjRP(tPnIABaR2lun^Tdm5|eHHD@aN~x(44tNll4Xg(_-- zx0fONHD0L*grKaV##qJwxCTNo@k4+DDD}{IE);x9qUUFbOHQW?@$di-Z0%%ySHrwY zDzn|fYy2zT_2t0-S#GGj{ok`}>M?dDvB1wL5}yK0p>Ew)wtGdf7poEzIC;k?ohmdB za7r#vNILf^Q@I?{`HKARQ)!)i>=dd#w{}Y|F|vA#MX$v8JM*JVikylXqC>d- z9VMp;gl3;2JS$a!+QzKK1-?kY`zU8E=e?1;;9V4Sz8S@TJ*kl3wG%esQ!qjd_lazI zR)XhQ7Lh~48pX_y0T+H)u*!=M8ik0Drm9kx302@Jo{-zyT9bk?Q%I+>#W_H?oOp-z z753?m5A0t0$4y*C&M?D*KIO-Q6A7`pFXz7^Odf3*aes6+)SQTr6!MU7+Ez z2{s$>_pRux5|1I_)a*OR+eL zYPBk^b6~oiqrq7LLLu5}O1(`qRFRCX@nHW6jt~Oq+rzk*k7onZq4mL(0fQE!^1~r6 zzelU5p{~coRgWDtmRNS#dhaquZThI4K18=IU$zrd1at@1?6bMJUa7BhkvrC4e2RZ(vlJn9bw^ zW`?UiPc9Bbli+fElQ^IwT59*tq%Th{q~G0!FW~vA1$Bca`@P#HJ~{b0R<njlZ`sc^3hT~E%50Gf^9ShOkiE<#v^nf5h`7YCb1p1~>=Wfv3qHksT$4y(|ihpHR zouaM!%+&Fb6j&$~2mXF1q=YJ!5>p7x$Tsx@QZ3KWGH(;llfPwBwDcHS(&Y!?d&*2U zs>5@gC!PCw2|v5qBn>OwH67O);|R-$hT`1TKT-d@j4zxCNY7>Gvqk8~)#F?gJL zk(<2(;N`Q|x-!v=-cVkJO#aQZd3b_lU@lesip@yPd|TynTI+QMZ_fGl_!QnLD{D`P z1Ip)GiFvslpMJM!rAiw9vrfEF5Xh6{TmFb^^Iac^!9T;m%DWN%#Zbq9B5M#%fz?zs!u#fv;PM;=66!Y3wSkWwlHsybU;9Dg6U*C7~Jc$ou4ZP~2 zfjr>dt5wR&9v{k_`I$L-$?KC@()U(kNFQd-Y&aRi&o#a*|EF@F?^c0 zK3pM+CIi0^sJTmP@a0Xq$r+H7rlA8XWvePcey8n9H9Lz9Hf>DgYO?#~;!p{DP|&LI zML^QF;}IdXxaj>a(B$7)GKS!-DZ)!UMH`OtfB$A(QpRyUR`2S9lo}!9NA>r_o*{)_ zZ(kve5qYjbGWS}UM_F7Uxv)s>!fTJ`$m1FPNM*(&RDm!-m@w09hH`F=W~+jr;6^r^ zlTqn5`r@m7Pa%e402xp?z7a8j1xyslg$+%~$w$z8X}E}S~+Y>j*|LC1r( zf@bME(*LY%h|&K|nJV+9;S$+Z=bAa0^KgTFHVQSyz}=%P===yg1qdjB&f~2?X-Q3U z-Z%9Zri8wgHgR#%FBaBx35@V{IwA68vAxsE^AtSN$dd6S-_z63rK=l^()di~7&^WW z%9o5kzJM$xHu?e|LY@{_pCO^xE2In#Zjf5-B!UKoQ$uVeDT{ag{F65I=+dGyFFewmX(n9**rS% zR1MSD)q}OYCqBvUV|i|^(O=L|9nlc9@0w-7b*87hC)<<>aBUcFC8l9jP7`p+dp(lc zpt|`Xr}oi!J5o2MKFmbyB@)9`8uDmdP|@} z`Or@d@!!hq1HvHzpyxH`n++b7n}I_nxH0fh-e6;+$@Oa0=XNMd^{>m%8@zFv$j%;EzKH0~{@oVg0KY>!mf8l2yD z3}oKl{3t~@S~+ugW8=`Ie+u84+3;3w&GXNER3+(r_trnZvaBE4=={k4&wxOiyN-$i z-*ZduP1=-Ph8BTY5_#dZ%}X%r8bnu0P2d48JFg)PKF%jiKXTvoxz$^+cMnFyKHeM1 zW>k(0`@w|+(`TUzdnbw?bOXPfPsiwdK@8GCauk)4<(}O>RdI60L z_**gS8V4jQty4uFz$!TdA8$00;h=5ylrK2ijy88-8Nr4n%*nmTH=Mr%9=lO7#nIQBw` zXKdCOZ{{u3-D6X*hzMZX)sZ_6YHPdQD47(pR(+-A4XaPP^#7#23DFe#*Y2c#PqMJV!+-*)0SaUA7P(4YU|J?#O?0LOEYz-POA~mHT`t zUgc|z1X3o+oOFhbL1sT;mN{7N1r;fx60Q8P}>gMmQ( zZs`z1uf%4TCEZU(3S!mgb%C6(0mjXh6VZ1m+4SAs^rT9u!;EkEg#G68BF)z^+4W^r zt(1Z&`wsAPCY}>HDveQ*skR3wiLZ6Ke0D7Lm7aI0*o$SBmMB;159y%(Yx`u2S8IEQ zbP~L=m1B-U^E2aqSh&9*&RjzHH5!*(-)hag+NeJo+U`jthYWj^&~?(pT+S#HB%I7; z5gvQt0|}sF|94!)nIL;#MDS?5r*tM)V-dd3cxT>wu9_-0vY!juL*-LW+>ZvKN}@t$ z$kTaNQcRM!qlLw?<$lk6-lD+zs?zd}=hk`#J*aiVe|oo+M(|tIC-7%7L$btt>Tr@) zB^Z01DIR`0Z1_uCI>A#N^@`tO$1ew>_1Z(N&6HTbYo+B>PRp8rt9Iw%DLC0qkZ;f; zPs?^06k=8}ay%Kf%Wxk`G3u@{<8u^phu>#f5A~T~ZTS_gzmWdK3<>Y_)+x&76CRSBh)hM!{sI2#%!Li_iio(K$K87F zP?Fi_*eC8Q(hMi|GY9U81T8Vn&)mdn&YDGTNxM-&Q%(#XloXNvBj%#WwET3PXDD9b z2nnJC_7VcEwi7Fx5k(boXt)~I&jT3PDX?Zxd2kR4uu%GD`G?z*W2)jcb`hJyZ;u>{ zznI7`-spXhK3QJonq$8daSZ!>K(}akZ-_V&VFXFzR*IET5J=?hLZxKMyfVOI&5%B; zXtSb|ZE3b4?JI2fJ8xy+Cpz2Etr)#(dcI~%%b~FNoe1Uc&RSk^t;h7kX2HY{8}*fp zgA}+#Qk43En@>$&A~x&_{0Bop(k;qHfMR#Wj;(2VNBzU9;^-kzU2(5y?J{=x=Kfe~ zp2`kRz2qeT9S1ig#1JYl%74IeV8_n;+$oWus-^d!Wm`T9?;b<{(VqJUqxN2tMa)tl zG~L2Z+1T>4%@9>SEQA8I{Ox#@Sub2LF$5^DOt*BJJHeOiHs~Na1&<^aLa!=G#jH>X zU%iHeHeOu&bNU=lhN3h)L)7o^E2aPu{*!4bKz_UkRu~ue!`s7lU6impp!>wqT_5*X zgzZq?=7WWd75kl?rtcff^oR*7Jw>TvJwpo37-=VR;x+&KG6A|mXnnQ09!2v<&3vEJCs;DX9=!y}-pa%63R9%`I zIJ==x5L}l(1x4p&*~{g*RE_(JHO;zr}LCtN=!JB_QiXQG7b z$*LXrLh5v`v1Eu7FeO)qVAqcwRM*af+-_;+nE~9s%&!W%^Q}Db2^e$8-4#G6h>i_g zfax+lB@hh~>RZ9zszmk1esG4Jexxk}P8Tjw)Qa>|BO&zwwjAgk`x2B4Mk(z~Y7}I+ zjuKU-_7|JRQpHw5#i>^mKbt8A2Kt0St1$5!nhh|Dtw`AB6jfVTypjit3A4EF-u(3F zm%2Z+v@m}q)9eS2P6UWcbTZ`o1%E%4<}vQSDb}7&k;c+8`f~T#nhuw2uUsg=lEa)K zr?r}vNTQ;ilSsgg7cAa+U@Am6z}TY0ln~!lY^CS>P61-fpc0c{u`=vd=KZouzmFj%UxN(1C`g{gqOZGy^TCUh7_O#qfO( zadBThDSD9++MPR`W=yn{nuxE7G&u?pT=t--l)Ey=VV2|9D$fowverV$$f#Jr7k>g5 zeb@H$G$uv{{K*+G^gUXUH>RGCD2$ufXwJv2Ds@a2m*{z6Gej^`~jBcs#5EQm&WIkqw59dq4t zgZjc>yf6NyJy&y4J(Ip*(1pHJTxZlzB8=`SU%H?ZEFU}Y1IidBfLw-6x!6%nS0Oa0 zY>!sB;Cec#zmBPJFrJzseCN_PMaT=&l{SkuGsh)Z*$66~aCePfP_vB?g>|ssz(pXc zg0FkFB-P0rv*WqOg=;Z6;Hg}^`zBh+j3`gWqS@mcQ24<V1B*C|L(kFuJMUki2&|wk@YpnJj?0AamDd>}ok97qYkZB5| z#m~eo6QdkB-7uG|aP-SS|K@CL^7+!%sm(5YE}V93QpoMSTCZ~1Jq1a5&iS*o@VQ&o z=A&-?u*+|SHQ*%VC=Zc)P4m1(x!DAPY* zLf0C0eHzow@2%Ww;o_nGX>6+PWzToza%5Ok_}+VFYM4Z;&dlOVz_4%*7Is#JdL@9~ zG;Vl!f^j#+B+nTDpQv3X*CA=H*95Z0LYGN*7m@+Y)#1?8h%2o=vF-BT0*Jzb9H$9H z4dJe6=%Q`XZ-kzJ%XlR?**VQIdZ629vjTpazV$*@z$?jriQX2fAS%+4JSeOi4gbs= zx~c8!qFwkhUWu67cTwJA^_S(c+>#V#^W z>a;w$n{^+TeAOLR_?fMu;fH7_JSvtWRQngYC51tsFN@6EgMm%X;=%1ZTI#6*AG;qH$Pv?x)1;=R1pNd-_iLW-kS!l`JLVYt*h@) zgFY{u`14yYdNuwM(m}7dW!@exz6m1-V+2wDl2F0ZWK4nb)MC>4Dv2OwxUk;sZPTM0S!@;b4_ zy3z&h6-)CT(#|sIkO$tGf4y-$U5AN$L?VF^lcB+*;qbVA*fFFx2s2W9^}QvPGAh?b|h;mWP+M<`DoA?`ZBENqPz zz7;vCVg`i=AxVmlUZU4gTRGEuT{|BZ8>@oF0pL&C_&7%eS7z~*tjuixwIv8-!gkZs zPi(3~+n)**9#f}P2on`#v2qb*w6?y&C?&E{V8cX=b8y;1m`w08gK$f8E#>fJ5+11M z924?kBidWM91$jca$nJ4;vSnxJD0-}wGzw5c=zlUsjquGJs1j{%z81={FLFLH^CKb zdm{zXoRw0|I#nF^C3>-&MXr96;JB@Q4ROWrO^`-b6&4lp+<&pH~?Y8>7A61NeJYnz#qS z9NYyAkN(+8)JCY@rUd_J4g`efQ4%$7^V3W02%;0OILJng-HTNMPI2mr^}A7lr)|-X zWYVkmV*g_fhzMe4#fX`(JjM0{(6n^HM6KP@r<>v`K4d^G4qaXxE#SBKsPGN09Z-HZ zrlL z$J%71a2ILU8#-KRpplQXnOYkV#gj+i$kFQi?rJ6Mo&_4hcwK&alvSnIi>okFS;S`#s*u!c9mn{#yJ?(vIP=)CLIdF7 z@<%VBlR#ae9x$6<>xjGU^g>ZNW8}~{SdmmSIR3$qL$0uCn*wDx$>4TMD3veq2NG5~O^}?lm5fMAj;b+~ zfBWh&3pa*+tl%(UkV8wYQ1NJpzF-2;WT5yvGzE|;auY*_BFLbqTc;iNvBtZ6>7+QI z8WaCkY3>dJrmYwA&*f2|835bT_VuZ~i%e1(>wgtusFOk#9t|LkwEX%k`?L8ei>IcC zC6%~v@jcAPa(J4sU6__6Z+EKa?C8hh1aA?!N3q?z$bqq-tdZ$;&-f@H->{=`q3lIk z1!v8f&V0}79-k?p2X4`QW&_KXzEZ%auCC{
;W9X|~3U+C2{i0>ie-!jHV{ezT= zQ~^xG*NHfR;s3w_gaBHJW@i*Fr=NUUkdCMGo;I*dac2;G6gM#;&?(|m15SrvyF0zf zO26JRTrw1I1MDPTrahSb9$5<)%K{$hyZ~3J3z-&;2w0YPH2I;J0Ug(Eu(NtJfa}^~ z1Mxp9ZX-d98jOypI3YUVkOPU4D84@>X1@oNdRWB}hxeY0tNg=f{7~YS;>w~c)Es%z zcUX`3qJ$YAkfF`h0TNYe(`}jrR;xCf?JU4D(47-4S8TGlm2xXG4o_yV>ZpA+-p3 z2PUeYkrt~V2a`QSYeEI*lkmMfb$VOlT}2~j!>d49*KeK+c@Vysli_Z>C=m65*oqOc zSFrLHs14u+R$Rp=If?q5Dd};*v9p;LAojP-i;DlHn+WM^3c!AI*g-8mTpQ>E+ZFn; z>W-{W%&(|sU_1U_@)Cg}2PtoDL$|n>`V5Hj7FH=0Y-(ONN)x!a3(@cRCPxFV7S$)kz+fuXQ8Mvfcq_~EF? z0Y?$#dui;BmJQM~f)YrZ^d-XGb)@uOjn@}|ML12|3CZ)7$zBKhsvr5%oyLN85D1T) zH1n)Ry1B7gR@x4loZJprvS|%PH6i$V1aChte>>b`eXB1zk*mysSGeMTxFgoE^S#%; zi+j36tX{ZIXpK_VTBh;jdfSTyffJ96-z9$(jwg(BK#mBtgW4I^nPqOG1AtX^Htloq z_^iL_uG>|6mA!M(OIq!Jm?(q>k`rNKRTlA{)AQ?w>*FWa@NIKIeKj7hj0dCCpY%`@ zRlFO08RVXRxL_b;!U1E?krOVn>v30el^;_gotT7uYA;Fv+X0hhyv2B;hc(_*Frgdx zJVAVc*xHhaAQ)>lFiK^n%}F+y3rlk{{PM(cI<^mdN=(*=dnzx4$9awkDvAI%K`{$cD8Qp@Kv7lSzc48L(wF_)78nIv2Wj~hD4 z2e;%e>LKeMJIo*3sV{bjKzJ=IT*x7XEEk)ycR`1J!ZLOGs#X#=I8-S9%=*Oy4*p8n zSy{5g+go~5Ak%op0SPq^w17nUB3FgTk4ah6VPtGtvZIbI)!{l|ltrR3Gt1YTLbNQa zrG5i%NHV)42&^kiztu!m*#c^|k89}D$o+2l$t=929W;V?cYOiLN=L|!|aJs}7b zLyl-z*$fTXP4aHJJ$;suOTV7LOVMr!$z|7b%FGX~|2o`}2M?jIk$+?vdZkN^KP`{) zEAV$YjU4FUbC%?k%hb%l+N}%tVL@VxC9M*vRPM%w--vag^{J3j0?~llN2uTcdih?g zO_|I>M{T1y-8}XrPF6?h(!#{Cq`0u#;tk=^#cWWuFLYEYE;Z9H*PR6C<7QojA!!gD z<#aU505N3VuCT~C`KaIaooczk8spQ?UOlOp?0^KbNnAlqL-2AI zjjr@V=I6$PwaKm8`H9QB^hr`0mRwYXvFa747WomKM{!dM(v$REa4gaxj}avdT>3VPQZr}q2~Vypv}VC7Dk@nJ5EO)sIsWHK-OsJJt1gr0*1c8&iT-*SuyKI9D?cGnksp%pfrxhc@NndlQw8o8UMg%%_OvbG zn$u-TWrBXQV~~NbpRXWRL%GJ)%8$LlGxy^Prnknegn#|=4xHkZGM_}tK2i(p7Y!~c zMjCr@qgi|4*8=vpH$GG3W*8pSb(sc*A~AqijP_{JLHCo+eCgSKM@L{XpOJk$^+cJ? zmF{l)E44&V{jbP!osm!2((kqxkUX)xMDa&*_1$A7*3D~orsgrwO@QnrxknX@VXcp#@} zH|4*XuNAeZOLUG2<_xYOi&HgmaA0;j3i$o7FJxsAyY7>&v0$TCGa7S6#uBC*SzZEqasPApK)g-%1FV{|T1 z0O`gIN)>3B=bfK*duNAvxrG?(P8^f^cEyHcc)eP<*zALKQh@*9M=s$MF;9Fx-3Y)*%nA4Fr8P(EF(9XtJJEriC0r zmP#9gGK9O10^(I}-u863Nws|Tr!jKnQxyjns6!Uru&yei+(WV^jinp4_SjZ>{LW=7 z0eSE5^Bx!Nf36O(Q>v$&qqB{j~LL$P;5NT-7x@`JPigmmUM=_yi_FYpDC2cVau6Z_Le(RbZl zEj*E%czMDQkJ(seMTUsxbFOabQWB)^rIqm{AuV->&k`B(51B=ZG*IxnUsI)z+P(K= zeg(VjUWZgiJrg%l+)#&Tz(vV30;Sj8a%Z(Aw_f!`Q(+9f402MNN%r!ehn!rL(o-}VlrMZ?zBZ8D`gZnbQmhR0*&ycVxT+b z=@at5iFf%^qfWkB9N0nibNuEdpwZ^YI&RR?cF9?`4qrCKgkD;4>j{aKB=tCDk}hZk zh9Z^muGnioEAM%{)XX`P0x6}1^ zm+ycG3b}7;uC34UuFXI7|6&Fo0Kh3b6t3Q89nOj$2`Ku_i2Tv(*;{T3!-!ih8^EC1 zLc9_CPSSWLxY;mKT*ZGrLk-})JzV`$ZX}+O{(N!mj||L0aOhc(C>{BV=Y23ysrRJA zuZz_3;mTfWK)~d4E0*h2nW-o~(lWSx(T#rjKmeD)2L`YiaErg*BUc}?er6I%2Mdy7 zxImhUCg$sj_eYYNe^>|>8}6i6@#mx8AeZ(Kv-`Pv5P0mMBVD7)a3=1K z08ya7IlqDV8)?3k3Hhok>h^^vRFSsJ*R2FBW~(3nhJXK}MY5I*(D1t5Tc(=1BNCLrFs~R#&?##6cWSVta&IdFRx^d94v5 zPcU5Fv4`dv7GAj`?`VBe7zN*LIOv*s7}HONvMQR`B~0iM(>( zT%^6r$M`4MEtKCMU#)~XgQT_X;x47rzEGoYlmyc(S0#P_aCr+uh|oJ*yWJC*7Anr-vv4myCr3v9P>Wj)X}H)c?>zR3y86AO+ghreBl=QFH1|5#zp!@NrPz2qh^iy~*Wrx1KZ zLgF~-jf*dffo+QM0N0dg?KJkr#N;r-0+98GT0=4ZPw5Y2dfdgGLU+SljNm7yv~=`} zA)j%)k0j4p&C0j-TD!)Ss64FVq>HKXEai$cL#MM5F*fXCp5R?+@okHd2z!~0^Galm z_?2X@@o7G!1Q7plXr`25GpC$=W%^a^!7$n`ho!7m5xB?S&8!d<;)b|dC(KX_gD%`AYtbc>fYbzCLFNiyGUS7 zJUk`yrPpV0nKq-`K??z8ip!Pmm>tt`xaB*GB>rL*|IZ5mJuKPhr2a}3%U3%~UG}Gl zcQu*}TQXn_xs-_e+H9|{zssrmFdyBWU~%cbm*n99N}ww-8o#LzL7ChB6tM* zTe+Y)6CX<4!D8%jV~aFD>_9+~h6Ly`ZlKV>s>GY3{O$ocGRA%9;F9n#ptO;@z--eha#M+gXDvrS!?PO5Xm2{Eb7I4FN&1CSU3qdnyb z1zt}y6i;F{^|I~L6VDu_iEutlN8PJTQ>+ZanO=gTn{&x$={zHg7;d9c-bOx_!-&Q`OIJ)<6$O~)$V^kZ?| z?E4zmhKH|-@O{5afh7xXm0j@>O&2|<1LdFutD-cTwFrW&$)7xslD-yjH*{EEw!aRc z^u3-eR7Vlf&|Q3em&K>TWuD zyut&-VXCQ{+QgL8_H)yA*8TnX;!@9x4NFXYoU5xDGx zqk$|K#vRm_(vOg-FhO(@4p=Ex=RAI%!Us-mZ?n~?X9;i1{@%D|wArna+Scs+8<=bk zwA{z$uaqZmsL(Un6S8XF9Z!~J7&0P$Dy6MG$48=}`9kyY zDmjmn&YR_&OGu#6w|J**CbZp$#Rq2|O&uv2yvU3Zt-&Gfgds7TY`Z~EARcT~P(aN? zhOWVG1Kv_(ln5$&ri+rb)aSRg2H1a{ff1y#ZPc7{yRPE z8OwKbx3^1;ykA7O-|P6tI-0aOv(_yu`?YJi;7vM~?l8i2!HzsIf(rHH<>|WR zF+T44hVATNCt0Z3Prt^V(`dlkBklW#7gz1e8Xc~xQ~4E{4Z@`#saa}^xw(d{VN|^mF4Ia2?)r+Ptz?DJ-3K*0m#6R%}pW&C~IdGy(T+c z99ykeA-F2L4pF z*;uYiSLhr5Em3Z2GRgMvLh%@`eONE#F7^Y#@lP`pQB2>H$b z6VL|}ZtR&r9r(UmlS3e(YtCKc7`VSWPXb)ynU3vK@2VN+YfLn$fD0C}32gTrEL00+@prS*}C@}gdr znG>-4(s5E$mFw57ca4L)fDc@#!1#9LzuzEO<@Y|F#U-?a26&wAY(GnLd(Rmd9~@%~ zV_P1ev192ld3Gk0U`u)iPjlld8D1*$Bd0BCzWGsR@*tlG z`3?6C82CkIoU5KKt_r@QZ@SEVa2WT6`FR`P|E3P3IS!>?tND^w;`tRsU9uE?%@lDM zhmTF0l!(XA2t-qbA|`N;H0TS%d)z85@K&bfjHuaGnIVtsuj2^NbDc&!g<4h)i z3Ah#wR}zoG^4QMuj{=D5V`8t}NdX7thWb8Q;Ay^wOQeBu_ThFrhR4s2M>y<94(zQS zSTIQOM^_B~G&fs4o`rNnRrMJHUn2Nilv>VoApA8O0N>6T?=gapjw_b@qu=VrA63S5 zSbDJq+T2S^xScmnd8<}WC$2V~CTBmm!=<6ax~)1?JQv3Y+hCCfjQcvkZwr0doAp$ClUq5fP{ z!Eou2kp%K^f71*z`6XQi|C0Z@^oJjY%(YP6$b{70L1ek#+*_V7IMKz4=MR#~?G$uH zszo0dpt)%2m(meDl@u1YNRua&yiT0L;+Re)#7l#!SC>(>A}^l&MBDF+{?&=9FAgL> z&qyIZfnja+Yb0<)Y5aSOe$@-D#N@9B7tRkRAy3LO2TCwzh0|qs<&)C)mTk1@7iA42 z+?QYFQ&vEe##I(+ zc77HsZ=*wPSyeFgXtyz#IoXbkC^7F2v^(l+Z@6)#4?*btxP8AdS8NMyn(?L|MZb(f zgD-a5qy8y)Tx6!#1i60^+9Pr#4St2sWybl)D&tQ^zXTm{p?W)0`Z6chYQ}{&Wn*qK zn+#RWjM$}Or#>Ih+F{1IW(5_L1L{X1sF`F|Z?MYAd#z4z}B3oRu5Yk_}+ET;cOPOwtu?WTT?n-c|dbBY+}{d`r^oULuE&LHKJiuqAaH+WQ#ooXO9*Ba$PgH z6fN=1HXL?pLiLl={&Uh|wH;RnR&vH%HRRfGRi5bawhBvy^*4RgEay|e-&zNsFwwOg zGx|%!-kyA_J7=?$cb1=HrMtVy4aK@`o|6DsbVs zqizj+Yt{n&u~z4;x=C*wJYo?PR3*ei5fN!r7`=J$X;cY0jouLO*q9VO8P4$1yF5td zTU0>&x0orsdZp4xwpdra$q~Y#akGeJ||fy%}H8 znRkEmiBC$D=643|MU-!qAr`4QqSIJ*wxVwPz9~D%FtGe`SyxQ~&(*I4Y-f4dA0kPi z+|OJL=sBaBYr;w^tP$2QL1cAYzkA_pm6NejqbTd`7O~cJ^l7ES@sQtDwi6S<&#D2@ z5TLR;n+$3~(aC;NvkU$h<$t{&p`%XPrZ3S}?35_yoPKK2Z2hI2ge3-l<>2nEXs}vd zo6~HVo&^da8GKa$DHUk%A>es0Fo>{3G#4#CwAyNdDRR-cQ|RZm7})E#2^}#~fM<#^ zCWNnH)Wk{U!SBLITtkA7^l{eB?M+dqs^Z>I_m)7gi&HsN7db1QOa8%MmG7fFc!iG2 zVv-oz;t~A`#f6OG&8@8AJaA!(Cb?sT?aZK((8vyDwc7gaFM**$H)+0jlK+iuj@Hg?j+wr#tyZ8Wyc#zte?jcxbcz5mbq{rYqrGi%M9^E+o{ z@HkOPkO)B`G*05l5sA;9fd%~o$}o2AuToN@Om6K+G)6!C{PRnb62wkBU3RGl^fn?3 z_>u##M$hyA_^X9l^@N}j3Pn+1NtU9_o!wW|hAEn+9~adZmP$NJJ8r~PPiT?T`~CbO zH9ED&0_YVI!XUBRs3hgE-BO}^-GGhRj`)bhT$@x2bhIeCJ_~HwJFsehvfO=q($b3_ z2uhE9Yo<}+!3?zRL_$UeW-X0+P4NfKnK9}QhS>Zt`FgPrJ0%#kxgizak1+>yFMf>c z9dTQUwJ>+Tkwzhb?sDlxP#=0PFLbH18IY4(mbfD`z=-#q^kh+?&J4RN{f0_RSSC9{ zksJ@zN1_-y8$Y-P$r-h86i4O8)=4gn5niBDx0`!-ceX|x)G478LG%nKp^&EYHM~18 zxFJr=V+yekIP@rA1(L84oND5rRKgWMUqIX#p!*vY@I1%KzJ%pqIvG~1LgKu93wj~Z zuhlGDT!IB>h(@Lq@xeU9?Eu4^6_lZ5H zVQ}6qX+HkDsqrIAHyq{Fk25-XM@j0@w2&_u>pUoDKd=6g(Hv zXSxe-cNk8z>tpEa4HP3oOf9{Rmk9Y>MS(#3fk6J(=L+fWa$&=&*Qv^g_WY4v+@s^= zST3#2Jb9Mk`8=ris29R#nK~gBX!lRyF@-u3pJ%zj=ejv*woq*W_6JW&pnAwM_-k)v zP?dKTlrknr&-_k}H!v1YOyQC|R;G6t)BPrWXgoSYc_K-_F4_$HXJR8+w$eTlxJ4d? z=wFCeaB6Td3#n*HQ`q@e52v1WgH*yYk5o>bR~(qm;~e4--^a=feyM%iT*mk4in|6F z*SjuF(^z5DT+f`wbcPlysU-?8|sCaazk#m#Fof&^-|p@GTw zmS=pW70-;7Ati0UiB@$8F;$lVUmOgEe*2C@l!h7x1tnG$6>QYihxjNM8&yfLA;zFr z%$D6%BWQa(qmn9KD|0KMez&ybz8gJNXK^T?F{ws`4~(CrCG9fq{I*NOzbwg!m?F3p zoe|`~da!r)>|CQ>tY~nbtpi32BFzaY{~H)M3;T6kP_TrBv5EXzCcKFv|23lO7j8Bn z=C4G$LYI>s^W*oSk??QVWz~vmzT*AEFCE&ZFg)k$5yg^7P!u^{n;tzUj`09AsmDne z77|>B%+FCZrMx0jSBt9WDBUiELQkIyQn1kCm8AM0n=}!nXL@ULHJPFo1+wAs1zY^g zgZ&OMKLHXZ;4PLomdh9tupGBOHncRK?1?3WIH8VkXPtL}WBeYl<7(Q0nIDfLVt%Dx ztlB3>yw6mUK5k@irm|GmH{M21?X9r4p;-&+lgNqelSUOlgs%D|DlvMN~y zXIiBd{)e}vr(86{U&y~LS&>3pcGK@4Y6l(*X}O;FPZ^aQTVgQdMyK7}hEivh*QA=R zG%7xsEPun{{_#sYw7}@pbWo0IfF4|(ejYe{3~#8ld4yOl4XX_9OR7*S3&R3S$i^Tl z95`aIRRkY!Cbfr%DNqar5l*03>GV;uEINfPr(whB%)aV8)3rP{{Kxwwpsu1PWNWdP zcO^4F9iLDz3QqY+Yr0wU-o8s2j{tgeSxhIM%d@!C@i!0m7zMXq2DTvrcHvB>gwQ@_ zEN>&SDeD5P6haSkxMh+tq9?(qk*{#RJfEq&uq&c56=a&vf+0@zIi#qj1|mW0w>z>P z_~WC_X3{iVTQ5_2uPK{SvC{Q$pWJ~emXARsXLBHeSL7QXk+BkV}L$9;zmEp^<# z*FX}hsKr^iqRg|tSz^MVVATMQ7J)pDpqBm>yEvFN-u|$kfIT1Y{^~S$rsT^TB^pII zxEZI=7oAv?Aa(mXg2ECRQFh7wgJQn_m9WM%cuMq&Od z2QMU0Q{%$nuHEk@f9kXwy!vo1@PLJ*c`_2OI!`_+i3TzidV%##SipW~#_cY7?ZnTM z0{@Wy-f4U^xj?1}D53ftiI1sKvA4Dn0+m|Kdx-(F?SOO^bW~=?E@cbaFI> zT+J~)USRR}2(iajPApD8=MTDnM8-9^vpx=fjIf$KGy+1H*@Obn8T2ve?UOih{quqH z6Uwj~sg-lbx+N*pWMC{fXm(k*1@)})AT5SaWW6ivrbQS>5+po608GLGBx$a>UlX9E zOpy2M@YTZzz?6OGR@vnmOA0L#RimiXDKF0n^K6bG41ekh&%nn;e%bvRBs2QAR|K`BZ?^T|bkePM`-W3_+h|a@Sz#2P zgmxqeo)z6#`U?Xz5^_}hq?_*#?DfI@*B^z6LxD8t6g;VU`BTeO2->$3?k5VHup?gM z=DVi#N$opzM-`|7XLXv@-rt_LUr<8gUWGWvLGTbm1SdIA;d zPCa2Xi>MfaLOkSxIFRn`(5)GK_8%Jwl1AV(Yg{~mXoBfG(fW<$xsQXG*h>Q z^nU76U%rg7(N0HBV)#1j(t{O2`Ev}7BiOuPHu!xRw%3P$1&sZYA~F4SGiXK`8aXBp$@5NUi)HQj{cnB& zo+4XAQQXYBoh<`kI|nQmy79}5x(tNBq8Fj7j0wt-Tz}Cm)ZW+Plh@wL);`ye{lIoa} zqc|Z=HW;(F3yo7&Tk-wPv>H$Jq6av@2PmY&k_9%eB<|!oM@7)cF~(!e z3vn)Qmth4wMld_$J@)|%Lc=!XKnO6EGChcv9}#fEx>(gicM~%L$JFiUpoHDFV3kx8 z#zIphPfLSaHadFqxG4Hs_c$=K`|J0i_>RlJ8_AwLE;~KCyLhrcC-Gq0+cV@<%uh>V zw($N}d1B^bL^K&h!05(*Avzr(g!P9zha2u7R_`|_L8$@x-BSQ)3*C{Cfw>q(vzf3J zD!vFco&*Crp`_!Xksf2-0(+f-3mMtf!w7?b$&RE-Z$P?m7nS9}VS;sbe_~k4ylPL( zTo965DcR?pS;O-)W}BSv?Wv#XZmBY6dTh6}izJcg^RS&0ma|G?Y|ans1Gj9^-QUDx zjyM$+jMVtkP_3+Bc2P_KkR6ef0Q-SE2&N%B7)IjV}Jm`-SlO zhYl0rvdq0?=>rg*T;32k?S#Z{7GW*}TjZnk&9r>a6byn&RQ%#GaCIDNmc@&H^2!OS zb5v>ScYI|M7Wy&ym^66XyK(D{aNb}*A;REFi7B5c2L1WaS{*U677f;)b|z3nl=f&o z*AnqrsYaTeBEry^h|Taqc`zhC15CgP#kv`x`hx|{-_T=JQyL<{-86bOC`Vq3EY6l| zWWY=?hKaHU#85aHYE58o_C@?KyX0~}XbvwR$>Kil&dX`2Zj}3x0re;8)Qlb<%Y690 zJvG*fW>S_g%jfnE%z=C^d2;NdpYe;aGRR@nBhtg=G*nZ3g8q|#G%_D2%q|>;#!)5F zcjIedu?2l~6IEjhqNyTqv~5L{Vjb!gQ=rMcW0f9lwnW_>nfZo-FOigw)p;IK{AB+g zEP0vfVG02rbeLD^Mr5WE`#Yc28cM`SgM)D@(b0=$FjfYT(-YAg4p7Ja;Fuf)jsQ(igg^pfADJM}T8Y5u)) zfL*j%BLYl1qx`Zf4*J^*6fRJn<8_stLB$pY38d6RRxHWk5Cn+u9WvoS*7blc!}_>{j2g_ zZgIYl*UC*TyA|ZzaUzp^76qk5E(K~>$>DeOqSyv@y8>AR7ISqTU7C{K@5`-9~AI)15a zq`}U@2RAqYBN|05!tY9R;=+qFiYk^2tS0=45M`MK)?co|D4ilrzWtGg{hwE+0l4gD z8*DQ};5Q3JOIhBV=Hw&DMLjF?dBu`5_Xb{S?9xsXW=9~(4*(T)I7Q-cOt5^)9x^*Z zg{>tSJjSHw0x2F_oo}y$9NAbAA8RL7c(vLN37)h%RiP5&1m7AYr}Ac&pkb_le-MT` zq|qxmW+^ffp<}vLYF2kt;QO)y z#8J}P?7x^!OH$uM7g10d3aT=h2>RgveN|iGF&@ zZ#l};X64!X;IiiMBJJX6CtO1E#46~%e z^|TW;)L{}>2 zQtTA?-34;}T#VOIR+^$@8YFPVpfD^TK-9)>D?C=C*PHZ1x58%&ZYa5!6#2?g}W{7<&x#DP17XJiIicdL8-=--HchC@pF6} z3k@>_J>J4#u2$wyT*RN>7+<{|70Cp=?j87E8H##HjKZjVp5D!)Ue4I3`a7n;7e5}# zHmn3r%Xckag>U^G)z*y9=JYsCX1Ci-2g# zGH^8+k4dmy<=zc&&{C(=#)oenL0pqr5@SmRe;U~%cpdvog?m^ZxwnuC4rWgTQOoPL zpMioHqR!Xoc4&pHDNgzAz&$A<~sZg`{AanWjc>>^Z1@thf8ztc#3f*2}J`=dvG zpSXj#88RW~=bv-&NMjr^!`QfJ$r6}8_q&h`v?b||^4o>&hb-?oHK6dANI&h+6)K>PFBRL3o*Y zVlxSQJ>GvJD)4!6e&O5oSm|Zm;lPaF5QAj4j+@JAxE;|CEXZHF_;&#(s*J~89Ws98 z5*>Mc!|-JCW!@U=bC)3jq5C!pf=0{8MiB&ukin==m!goi9gHz9-kh<2_Itn5^ z75sQU*xxXV^U1%bISznB&QfI>^~KZ{5s>Gnk8&>FMNdYc*rISJodaDc?v*fblW z+F8}97CQRH0PrZ<@64YElg9U*0$;kZo)fIrCX6+z$AGQJg!h5Pjn0~X_J8bzf2wKN z@z9ahq@_u;^sG|Pl}5;WYSNZPeb8k0OFEp0`x!W}@J+u^69i`JxkyQP*}U&lwC%*I zw3|aF;+Xg8%d-l)eg*Uzgg&R%=xa4WF*Q^R(?5Kf*<7QK11pos|8==>)>(xeX=E;o z5m{Pnv1+MUPiA&_esUK+fDJ932rhV3#4jf4k!q@uJX9)TlfvL(C+Apg}s0zrE1^2_wQ|Tirb%-8{{a#ZqqTd%TKMX?7{=-ygv?JKt@5)lMY# z77c>@`U^(FIH6^6!hh!{p#WeUL2;8=D(t@syuWY(92PNVoI@Xbo%J~p&IoJZy=(~p zP)C~;IKD$uaT{fO&{^^4Mx4Q=QuF59# zaZlwYh^LT+v-n%BrgDQ35LaxI_zB3vW+@Sa{N+|@QW1q&vC12|T)a<^aj9v~?l15k z30Q+DX7Dgru@D;SX;OUK8@=|py(UOGMpMy+!;NHAJU-_E_2=w6<(97%e)D-RdCiaf zOx%|LKy*LUt4Kew2&3Dnoc^~xvma}i+)`8G;6pRc%f&A9-HLQFN+YbH;9zHbS)A*2 z&01ZnDKx3@9J*;l-P;d!I^vUf!{_k3Pr+{T z=T(P=;KvYlYnPU!_ucF^TFzOAiPiOWtdaehvVmREb8cU|7%>9z7hkm+Z3tFh#42XP zj~u;iFlsANoO);U)AgeNT&}~Pc*~c_WKMdN<;M44v4sGEEU8MHG65bh#0{7F9I7sx z$`t1VHOg~q)yn)ce}0JGV^;?&^Hj;}!HP#2^F8w<FE}OtJiln#6rPaBGGQ4dn;?mr9W~7WdtYE`gQv zWw3*#gAL)3pXKDEwgFgt_8U}=sG(1*@$yM?3(uelJJkOt*-&+}oGW9Md zxd4s?FiupsZw&gAxJuarL6pl@9d4Y%lC~Wb@xs=h0>k!(vtOL-&@?)|AF=e}fGKrf%WD z6&H1spAvU}bw#j3_zb@R2DcM@8*wMh@5_G7Zf|M0aHhmOQSTrHv1+PaD$MduPa9)_ z8!{GRPokLmGh?)Z?q;S8jz5egrSU;3k!%a^Am3|pu)FEY9w?xkdqs_2Vo}t`K&z16 z?pJwlt3x>XHZJ|eA(qB&ef=kJ68y*c3KfFGauWU-5ie>ep2M!_rrtn|MiFnVYP|{b zRgOq)U5nZPMsEvyNpF>AUwk1MNQ1yH9mPk$oDU^qyB980mSlX_-u3g)z@z)0lcr*e z(w!f>GVmBzqqT6!=Lt+@>CbJ$Ih>q9-+5V6AJo_vufnHfGIZrHj)0K^*K^PJO}8f; z&yBw#paP8!_&!)%f1ps$Gs-9f2daHp03(^l&dPE6q(m^KaJGlE6s;0b$|V0jGG?gK zyo|JT$n#A_8IzaB0y`cCVox*<1UoQJK_0`EUA{3%vtF$%WSxP38>B!C@r95d>h}?G zlXyibX3|!Qq_A(IcQtIn5+gb=dk8|rD8d%x4!6l>BD{kD1kICeUe${>YwEOd4CGkcsPL&Rtpl6ly~=tKDG!i0N3E|&wEHhiw2rg6nGwlHL|6K?udN9p!a zj7^|>G|r4;Rliq8Mv+l}nCVfH3!l`^p{3ND`7qnR_p{klHk*LVp^wOp z1JPL5Xrz{F%)aF2Jyj%S0>(--lbDGOz`M`Z>-6%5BJ%XKkN#aYvp_O#v%VhdYeY$z|l-FW{9*Cxcd6aLhN^m4XvJ1uN zl5vgpFbEo}WLyN8v@=dr3xi7E@?q*);-H$mTYXSasZUmiXVPt3pKX3ei_14F(hvry z{z}UVR@kSx-4iHhU<3g()AE>!Mf?kR&ka{KAEXJvl$HrqE1AFq$O$Eigd==gYa) zlIU(Js?4&a2$h_iDxzQ_D2?(rjv*9ES@)=T`H&I+RI;U=NnR5;9Tw61f%MM};8RNJ5^&p`-VcTmVEQ&g%>|J59Z}(Ca-HtZBHXV_>SChzjPMB zmsr0;Jrv3Kq&IfBGALzt6-6yIe<mij1;c0Q;m@TsjnyzI

0 zAqH>V3#VKwc!*H~Xhx;ne@k|vG8e?}nH_O3U*j{z&?YlR9uhNj{RrJ=Jxa+I zSRv$bWidx(%nsaKdxV)1)qPAJ-?EYv82LB762c%SQ3$GbJ}5lF{lC_K;T_&Ju5sUk zVZ^Tm7orn2*Q}_}Ly06`az3FzL_Cf06o$q>qP_e}d5gIg)90A?c9IXu^#2`tk)LoS z_IHne;6HQIRJ!#2ot(2gEcu*c2-OD-5jask8ZMl_d-`D6)MtW67a9X}pF?+AmFDdE zujfgsQcRNGnS0IdAM2{hA0HGFVzaM_hHP35}?@xK_)vq;#odg7|CfTV4!N`a{H@1bz`G&3V zM>`Ol`6Ap~G~}j?8dZMZwq>$AN{D|o+7*S(fDJYnO?whiLX{*v*=%)=MLttXV`F|k zQrD-Vq)5ioBgZcIg&1RUM4!SlkorV(!cl=#P-0o}vs)dIke$AzqzX<{;0kl3v-*iG zXY)x~5}E9A1Dhm^QuK?sBeOUvfN0E2*Q?-YHDz9TKP+DCyx=$LV;@((oh#rR;2|w`5`;d`**J2bgBO(hMWB07Q%PNeD6w zf5b1me(q!>x0oCKDeZ1FyI8{TVd{;=DW_uny$}A{)kZHh`n5V--|+kbc+i`J%A)%I zcL*wEM0VzT)|*y@v77W|%^{SD?c)AAK!#kc?5*U1`YS(FhoA@`C>}wzT z87ealiT>@AdSxxKV5RMl^Ol=(SzfgqSQ&0-l{c;hX&6u67;42~+pz+8$n}}#>=GmL zhA-DEGa5=e6TKD?k|QWg*;zo%7#dQXfBgbwZXPNdr#*Zeo7tLrbOpR(DDh(dh~a8Xe2GjSJpMMSdb(&2!~@aF*W%KNUO(# zNKgIOB}-aGAwySoR#7otnj1Qp`47sUSphMFlUG@S!Q;En z5%HZI&)2Wkn{88vY3VE60#n!jdKs`87!g9!wfF^(9D}BkJvzldqLWggJU>aWJCym> zu(EgJHW~#=OiXDvKYhgePJE%;g{BF^(UveQDcpCYfnEL=PmyshTQ9iP>z_Yh8F;*? zX~b{&$GEDCk$i%#q3)UtUNX9tL>G6$LIvpNL*<)?@L^&C-Ct>H8*=c4{u4NlRh?L* zy`3M8o=h&3>99$6NGT2CG&*d^v5X3;$r}vB)VR_$AfUk4Jo9;~f#X<(Ams#u{ZQM= zVQ;GaUz^UWai11U?!(KTft8N}@u(yt*V)I*Ji}*}kL4%6rA{TSj`w>zfvM0Nv0z6N z$&xpk-U3ug?u^$qNN4)}j7S-DX4Yg9hI-~Msp)7zy6U`{_<_V(L}53 z({<+y#G7gje7n7kwwOWx61z5|%Kpd~Ma>l2Dh=JaJfBSIZ>*l{@&Du-LlD*D<;Uv*zoA0(xLpl?_ISXgX=ADp0&8i`9 z_zVCb@uI0R_*J?3_~jSQ$8}2BsB5~#wU@F-g~=jGBhtn1Ors3f)LYsgHb)7Klc4C+ z(sM@_oiquWPX7s)008=WDto1<(29px$|ZYPO^Q5`W;Oz?qJnzwZB!c=Hb15UpDyX$ z@>Rvp;g^}x;LB6!yF!GyMn+l07ywe?aQh@jIy)4$Pc_~*1-qkJ{CeIQ39m03xoJ5q zArgYf6o-toa>P5)Zn?wKCB?Z8otihH(PaMlqwhx0{_^v{NK879>|j);Y(dB{!9yZbG#1Y8Jn&ac$+hQwBiYU=&o3=~2Z~`4( zOhnyzjI^mVYJIcj_+4a}dSG-UAi8H=P(YLg7t}FR)_~3QV+deZ5P@W;E{J%*|qvAkk1fX$5@GEvtQmhULJP0C^hmS5s&<4#%4#baNC zApr?ANQ#;o3;8&u%|uFI-Ro-Cc~BO3aXS9b;Av22!iFPFT8@D4>=2?o*_c$T*ffM zf1K{_mFh-*=&}_KNOzA!{HA_h@tE=<`jWV3kpu+5NZ*@v2q~oDf!6?>({)UiHL~Rn z>-51ulqb?!fH=zrXGpCN#sk1D5xDbc{kNo$tg>0G>u7OMyi+kHME5 zMuV<27A$1%TL^*7D_F`J?I;~(&cUHUQJ>zyVMrnUE1j07v#f9NIGlnv@B;51l~WuV zE8OZ$4((I7y8}wfQxx*6&4+$+SYH(M21=N`1Hif6LAL#@JB}Q$Yp@&003~)3kfd16 zud=162w%9bJodLY_ORS80AFz!^as*Qp?EE{Yj z=AMN(Y=vRK5?@d(T!7T)evrgkWfCNlK4=03PewARz*ao=q6ed?CSxXxW!%4}5a4(C zTA7v-?_}{uPY3aW``O2X9155=a$5^FUf&#&6sf0m{=iJJ-h%puQv$}8HEZKV)CMKx z$u^Sk<2ltEG+kygPs-RTRUsWT`T9ltIFV5`fNbSj=GZCe8Tog`QyW8VwJ>UP(;Xthk=GQi)AD32HhGIb+;8~799`DLH4V`MR1B`m7QZHFH5ez)JzlbF65--yVg}TO{4=l~MJ$ymV(gJZC3=M zmvp%q0wg%s_CRMDabG=2xo6~>YLzM$%ULRU%@!B6T)I|4@@-6riiMD}+f-6^Ze0F$ z*Q?bKWEOBY5C%3?G}5Zgv6cE`bl!ZXsnP+@bSOymN5+J1=DW9Z-ICW&X;xK(vGf1Y zixXhS{sUrpF`dcuRwO4jNJYEVL7imVfsosfg05P6|FiIMV`H2!btwOj#Q)&mTrpG< zGn2SmKRg!o38n;Aj(<7303n=sPxn%b$_lo5ax(V-=D3WspaTq<*?bOM=_92Aks@FkbR;zjXli_@F3}7H+e}1J zgm0`cS>$*=Db9bcP3LRW-v^uZhXMS3_9LBm=RuoTgMSxph9rM1E#~jn7ASM? zuEcJgMvC-H{yQMg8v1TGWM5E|(`gaXmAgTAMuz`Fu#S?7ArsCil_*X+Re>#Wz(Xls zXmY7MJll6Aw+gQ*&h@I8rl0~#5x38Si6biLc7aBM1J%UA;(h3bYS?h-WMl0Qn-&>Q ze`-Q2PRbWYo=8XB>dgkx4Xq$m$A*8Yu2@aD_>V^Y~fHCWQ1BJq|gf`8VW2S_=Mj2#4vUEe--;|JGl zdH5f5R>Isw(4?y@wtpOMM3GtR_s}3mx!8WFH5URcit`6wc&6X@F?eiM_Hw}v3EZ{n+IuLAy>UD9nAmUe&oFg<0gfGQM2 zffAO6`y$pS_=P0QFgM6BHy~d>P-hvWLGp!+v?z#VW5aED@ZxXhN>*p*M*2$D%Ep>! zH*){v+sk8CTlm&%=i|vzCA_J&4E_<5r;wX?FR-b}v9rV@M1YWfMz>V+1D4JueeX$C1%im{ZC}HT>k$ZLP0B5u)d2mvuv5>* zl(|Lt!-q(}@fK)Ckr8sdC)}})UmlENQ1As}PY)pz1Lp(J4Yj6ATeYa{EJ(RV1E9}r zG);$3s1C2L=kU}?X$TY~7Rp5-M>!Om*5Qq$;>x~KI4rIwblorC5A82fBL^m$$XHD7 z?*apNhCG*E>FH<`*kmwzN@WaxG`VxHZ?r`>d=`f<0>DW!=t{6#rOQ`_+0mA;h!2)} z4e@_2tRlm<)K(+9Xe;Q{MjK{^$N|pR(EN4OLi>wFMyh^Y^g8G!5bC1k3b4r6X%BI= zzdk?P*Zy5Od#y?Q?0bTt-49(4c5`bA_mutqLnaP}6Q@y{U)ayQ5m-d1; zsdE%(3p7VllAi;GgFI&zEO6U^j9hNqgLF6!{;1LIMY9niQwJ?!YtLU(4Q{(OYCZni zKD}-Wv`TzMC#Tc?-VONru|i>M%BH5!E@EP?SVajhT^%|v=7Q)4#J3!2f9)RD3qmw! z`KrFNpYFtDxcgg(vMSrd9B7#|@6UCol+U?7+vs1qkgxoa#fT-;;>s!Pt)0yjJ?=yQ zVpFAv+P(WoC{V2a(bdlLzjzJ)1oxmVs%Z)DY_UcVa({k;N9g+6{zx2R=c@_#ZRriV zWJ>4iXsi7eE5ZTnx2tu(h}^F6n=OEd(FgQW`1SFlMN9`pWb1Es!HHF&@&~sepaUTR z6wBo82N{rZrREY?3()SkR?0b>0R)+GWw$>D9t#8bWY$&V;NrTo_POVJH7hChQ|P{0 za^g>B0mvDII5K&&YFu<2EzlaTe0Yh6Yk8+hui)F6q3T5GaNx+mZ$a|Vb3?B#T2a{U zm-f?Ho-{?FHzs%)MLHq z7Rl#Dl=VOp6k+mB1lBqg68$PwsDNi7&-*w*zDZHzXsL=Yt#7^SG#e-t0P$yI z6%P^-@`jxiH2I55V7|qNh5hqr_+ztqfQcY^o%@2=ahigOUl0kP%WAfXzRPaRoaQt`kaK5O z6)P&}J{T-aeakXAJoPB~zE!EG>#-Rr57<8h55wm;N^PjPJRjJs`LBr2L<~l&3qrT+ zvlnzpjfH)W){rl;TaZ)f{Wbr5?Ui9a&F7G!cipVM?T9NYnfmdhVrFqZXik@+e!>n`g1jr2HfYGjs;5yhq&MjJl6L=-`=8Dl68=5Bs59S^w8NC* zF^*bTejY>tACr7jOwp6SlZNxuGq$n7oYv2lOMe9= z(>~0*_JS|QdG|dr-@yiOG<(kL-dn5sG%iJ0h}&jF{iAjK%HT+ITAwNp{4l*{6sWt6F@HEQM2Ojw zB-9YD;gWB(0qAGf)*s8GOyAwsa~cdeU9vBk2=nze412@$p7KlVSMmq_n`NUjAZ1<% z#4T>B$zc^L_H&=SF2;(&aOqacl7lEN>2;z6q{@5gUGVx4lPj)+8bcb~l?r}A)8fRR zuC{@Z+eBVt*TZPJu27h!a*+Za_FTzfRiWa*bv4^W7$BVB{`Wi3z3Z%?bp%DfMU5Qu)@JlT<<+Nfrn}V3e0@vuR$Km(!(h161>S zJGQQ`CjmviD=sW0N;cHh=YC`-fQTxkWtMuslll5r%I(h(7)YykY0V~7!(G$St9%{X zB$jeEBe14?4j5`9IndM8IHT1Ha(CcECCuKDVt;QNiOD~JL`dydb(>>i9m%g@8z%o; zRQ+Di^t6QSAlr&|wK<%FmD-l=%^_RHDj6x9O?xb1z~13x{uAk&9-3oSTmGJhqd-oG zYqu77ec|~Ddx+r?NkkxzKNy|ulZig*$>{!2m@sDoUhR)~<=NbZ)F0S7I#t#BO#N7P z+6Kne8hq4LI0#ohSRGnQ6fa|+OjX8qshlTj8uBcP7Vm?sBKigtAh%aI1ybm5=BrxSnJR2DbT}I0gO}cXjv6{NF!GqAMcE8r_6vw-@mc~dcqK8+D&MW zugTSNFbh~*%+kPIdC`#`DGcwSBlxF|C_lBYI-+|bb;4ll8H(rkQ8>@PriPGKd@@HGzL54ZOq%)d;!htI!%2V($iO zqt(>tn@Z90sgy|f4a<)LpRn?{X zdY|3vZPtbz#CZY*)~Z7#aRKAqQCwmYhZH`5d3KNArG$v9s%~Zozpys@B}3SpJcOAE zAdk`yDbmJa^?d-s;+sR50pR)4%leTogfaLNa#nW5L1%l9{Q>w&s5){wZyqonDO1HC z|NDX16M&l2<}d{OvhDeKk(LnLgmcVeEojn-NQv9FXxz%&uh;2|VIot}qJo5m^Y@1X zIcT&e#z&~=R(wy~)p=Z~ERKoWKd@R3*iVGEey)X!5L*zu{gljQ=MnY2&YHR<(|#DC z0<9zrDhHD>tYozt!<0B|oDNnQol;(%UgGae$Q|;|eKtI7Y5JKNfXZUS?rP77^LTbz zFVoFyM|#HVjX=4+MI3=WT4UjSGw$(ZaD1s7OqOM90n_LJjsr3Mmv%j&mTED<BQ}Ghk$qnEj#1-*)oD@y(D}0jB8c3a8piwVJ*5L^2!p;9AiS4l3i*vvR99YLw)I z6X;M31~01DC>*FpS<+#%p(i9OH_kbRhp{plc!6)S4LZkt~a zjv{ZahzGL0&C*Wa;dLC`i-&Ks99k8(gKYxPJ(wMayxbhd^r>c}m$;ccA}JG?I;%L|!j5761* z{;Zky)+1!r)Y5DY^|d<8abF%zeMtY&42NA0S8*qCl^OgQ@*u&RQmnrwTKFa)8nf z#V2$2i$O0&hk@_r6H3n@448L$n21}r!;--~NMW$+&Y3B!851FvNp>`)LcP`BX|jM%n>4LjQn1O(6iw3vsSz`#lEEoCGB{QqiESL8~8yJj9nESE3&STZfrW%pBB_k#U1fYP3wA95Ah9c0Z;ItkeO zaO1o?PT&kDj=G2=G3{^8x_W1<$onx-&QvNX36hb5mr#OMq_Qw63x2&gDNI3_uq{Pw zDpw66{7ds0MC^5Klg4{q2Vg2o{#(TSH~xf)i+K?kwo2q4eAEV7es-?Zp;zG6y`Ej- z@lVS_%-3h44Zq3-*D*kD|8)YU?cMKHq%C3=wfTCAkQoTrjhjo297E6PLO{6vwv6d( zz_%{1TUy`_b*lwCz%c-|>8&nhC?H;)ch7)jGrug@uQ_B%Won6hmVy)_oPs*dWL)zYc8yGk z5!F-}9tC6fW04ou#&BU78TLpj@EHS6tW>?Zkjp}=ULB~~2y6I>SrfLCjqmEtYI4R* z`*%Q#px!5b-bNVK3?Q7u6O_;T_{$Z3No+LYnrm#*ZM`uR}`>xIpKy-Ym!+apDChITHjW z%4aBws$6fQbV#Sb&>d0|0z-Ew(g+AhOPA!(DXBElNH@|A(p@6m-5?Fm z;r{-g-y2@Re3)}xXYaMwT6=G5KlJ27nnR#dp3Nb{r`jGVf7}R1c{NF`XVjD%^gtv* zjf!T*Ld1#2H>e@Ocu)ZD6HjPgu#A=n@mm-FoE<;3)qKCfGI5oonyfXCuU zd~GWjquPsSYpBb5f7z==$ZZwxg7l8p3rO8JYY!rQ!?j>RJi`W`2w9B{JKC6!CpnXF z2pYaD7Q9Kg4$X9$(j~SHr5mqo+Wf5p1l}hVC7icFt_qs#GuW zopJ0OH|!7MRRgJLIj$#5SM_?qcQdKwpSl61YGfPwZX!w8M@a4F!T{L%4%xY!%wo#c zF@%(MkyyVDRbU(EXSzZ{2HQf|<=>n8^JAYs|BemD89U_Ph`OzE-wv5IMnKE5IFoZ-VR}Clj7OAmAj2%47*+wq(Da z>?dA&RMKRUaEZ&;gaQ|XY3O!`ybVIT&1pcCo;R4B6Mx&}^7A&=zTa3nw?y;J#39~R03k2=Oa)InKSJZ zN}y0ehx7^FjuyY(z!#`DPk%fj=CYenKN=SoVaQURC#vCtka#8j(Zv1>7jeFzBT!Hd zmZ)FTFJC{fTS`L5H~fK-`fHx?TMJgMwl4Lx{VgP+*%Og)Yqw0I*2wJ=C_b3^#r@l0 zK^dB5PMR*e;XYz2PFw7Of(2RPWLohuFPvv~TdSRpsjmvWdOd~)MfhB~l#(88TRrq& z%-G(dq~yqGb4iFB;CJkZ&FZv6N*c0rw1!Kwf0vZ!hw#o0BPGGa@!ETs6U4N#V>t0S zqLUBo4Gzxw!*uBrhOMc6Vi%=~Kzyw(NYzM?DfDfe8;Jf4PguaJMoFx%N|zPH-EUXd z8NP+^S-$W zqOj74{>f;UvAn(Xp|?S1d!CW8|1SDv$iSvV@vx*n&R%(&AFs09nD{DN%DY>qb5{r9 za8cEFad@l2f2ZMRF<;8MA!%c4IE0Y=NK(k)xP!nAk;4mhbMH_x@qmRK7Yg62bCw>* ztA%kQ{X@8Tl5tDwnazFMJlQN_FG24(+|f!qhfX2#?L4^U1sb!eRYri!+I@| z47+)?j+PEbH-yF?P8I!DJ>r)Ulin+u;QsUrIykbt2(1ZkFcR%6kF_s=LYvVnFq4%Z^o!704tx-dPC4udZpQ`&fBnVqtOcGnQM3mD6Z|M{xps zFK29(w!j1ih#KW#b*IAohh9l;0pD7lhl&|ERvH0`8vG~{^F(oa-1&jYzx;b6+n3Dt zAjxky_LEg6P1|oB4Z18yB+P_RiASxE-nt$J$9#=%~G-75O%r5_geu zp42!;%G6E5PlhGoFoiu@Z%C-9a141pu{O|UtjXaA-LEhO{Td!ORDnyj*&cqfR+1H$ z;Q#A!MbzgO(!*A6bUPf)YVY9rIDHs2-WIJZ;C!E}TQyt5DDzKt6(faT4b_jxtbVpv zmkxbJP$(MV@dIg@LBH@n2hN|m>`e{SROe3o3^?o%-jUwWE}}kOVibmUh;cA{M_umc zloISKZr2S@iq0HfJha$Hy-AQg{j;_0H;iZ20Diuat@PKab>Zg>7FLRXOj6(DsaG~3 zaK_5qJOu2VUtC>X?>8+^mYR0f29No zWjBh<{nq#XdDidGlL#R=MM2GUMQD2YEtkoO6VQ|vvfva(g^xp1I`)La0rGxc#|1$F zviJCrG0_?FIVep0l?N{#wq+~dsThIDP{#(`2XDWVDg3E6bKXUq>D*~Tp=brz^h$|# zWu5lAkBr#}qCd3k?~qyVof<|5PfeAtGpb`QaB90DUsH@ntXW^940-nf%aR0^WYUxwl9b)Ij$ACXwDp`@-@Z!iCa@XI3EY$4%v zx=en>8k^bNS?=k0#Xe5Vx%8T@k#C?&;N*s@ zX30DoaVc||M*OWBlk`&9o#bc>NUU79yihc6sDvV0DtNsGm&;Dq`ZdJ{dyZmbtvhoc z`-dOHmJM91i#v>&=D5FNVi5f09~+1sy0h&9k5ZEV%{A_jGe-BRf=x$Qu!vt+U}5jd zEfi&l_YL8^X4lxzEJB{OwL;-Pv+f3HHbl^UD$XW#qb9@3Z8`&c#}rxHl|?K#Bot~C z&y$xY%S42mGrc5F6lr1pn;r-WFz}LQP)3_GDZ{W=hR!R$Q2H3Qb!~kzVA8Y?V)ATN zu4IN!|89fsj*lK|t!djtW6kF>?H@{>B9WaCyVcr$6M`Vz_pZ;C_Rl-YAalbf?b@Ql zod~(%v?QyKiQTdxmrjBMZHiHUL>P3>%ujcja9pmZaLmJn!2i(>G7ol3-edgt?L&o{ z^GAV;BC*lQuo~RVeg(@(pH)Tr-h5{@jlM7#dFsTMMdvN!h9c!v*hcln!0 z@Gs`+NVH$r+@CWu7UTz&*!yW*VU5eX-=Dec#<{U-9W@zn3?Lq^--tES1iZ0DZywE+ z(;tq0YJ}h5tKsken^7j1d{D06#&%)Hc0@i_9+T`G+r^hDdR)v9@&vW&R_WI^O^uYb zplF<5$NjmSAsPceWb_4jheZ2{F^uZ(=YA2MUAc`tBpba`YX1(m-+j|vsk{t^FVMiu;Ghk%n!GoGm&qRZpD*3TPZt078 zha4rwk_lJ|hUf>-qaDFF#}cJQgc^z>Pg_4l1>H4E1A*`timF7)L$amf`Tp1C9F;H1 zmFRt%O^WBn)}iOhgIz+stZ=ls*d>&%(4s(qXK$fUx00>-s?($>FV&d}``EWdn@_bG zxz=cq=83OE^!iqI+SNuxS&HTI*oNL74!LT&2fY3Md8gPIxyGS!V&ra!Te_Fc0p zPTlg?r?O-UVjxCgf5sJmPd+~5hFGTkX*G-AY&Bi@=_0Kuldk!0q=l6U47LhS{_8xo z@KOgOd;V*T10kNzwbDY3W}JE@iz%N)el5wiIe1kX{)odR;B$aN_V}8=ffO%)6v^aL z*Ftr$AdAi%ix1SY{buTcqu`$o*E_Y`1_}n8Ajl8{zLKYD{cLQk4mq|G^c@h2}ZU4{jfbeqj+&Jj_Y%4B&0;i!({k|ipvj7505gy`l)JR%T27+6=&aV zw(>${_@o{NSPe=M-txerJrK}vF26-ENmNeiq|WnFlpB9dcPh8c-O=iU`_$JUZ!O@c-T<; z*acS1KQ9#m*W&-(2o%48&6Z-`wySC5KQ-QUQGXjy@ljuZO;9f19rUSC4M~)$;YQZj z>QX5o)$Ex8P#}Cg6XId%anMtzajv$8$y=yVjowPKk7+()IHfaDodnXF!EfsDDfi|9blO51i+EKz3DDHI1m@3IKDqsD6d($N#!LJpGW%!5qm=@}I7c=5I>wct z&1l^@FJeA=Hx0N}T_LJ=C?0!pq{_r*j65OrZ3n$e60m~5dk1W2Zms+=D^#9q-k$W+ zP~F>4K`AtZ(_9Qmtogio_7JS93<=ima;P8_ho_R^lQgCgqXC;by`U zwbAo7$kwrV&19;=f*iQ=kP8JVi%5&v1+^j@x~~a$MX~Tq&n*=b$utq5Z++eT%psF+ zjE{Z<=FFGX_0-n5yr!M&+`V zSxteOgja`9d9g-moUvgZWWxT-ozpSHiJVE~{g>`{Mz!nOLi4x1EZXCyA(UTZ1L+*j zdSrZL1i1W|7+|bgJ=4Wxy-b;E-P%91e!oi-NkjWna`SWFy^0}iR5SE0n86EEqkMK6 z&7tSb%~R(vpsJS%Rq56sSsUYxGVNve21!W6c(a1O?zhyDk@KM_)-Bz#qE5Frd|(7M z9BUZ_u5=@^k@TB%cmmAKwRom&RL1rn|rFdU?UetK@Vn7at6Kgf3WM zoY8b|j6@vzE7#N@mbjJ}`Gpb;7}Av$Mp4VP zJt%FzmFC*CZ{^}hhR-AiR*3rZv`~czAhg2#vIVu`l>B?Yf&2FMAEFw3u6s5BQ*n_} z=ajmY@{n7i+cs_8k~IQV8Tr$e`=K%0oMkjm;P^Kxh#)c((N#ozib#Cb; z<~e_idPAd!sLChsM;OfU7l&o!&Td@8ER3t-SXgAIvnaB6o9&;o3fh&`+`_LnY@z?GnMkbB&4 z5`}Nbk`3Vq*ROl2tI+Dj%xOJ&{fLr$-T3#*@=Hf#2AoQWW0iQlqrB7A=R!+YG1`L_4IW_* z9C3)n<*$1G`72R!h3_5mDGKnBQZLSK!LA?h;o$-@)s?^pW(-S|plb-%;sW-N$ZgJ? z{AZsdI%PiUeKI<>8|1jHkug!C<|k9YUO<%PU$2guiWBliEIE))*= z@ny%?z} z*xPom!`v_=a>!bAlM&^3nlZC$ZO&XhyyG`Ru=Dx0zc>x-g`VZ)TwvuFYhJBc zzhTY24dNd?&du&Y+c5tLR-#A<606n#B&ofWovgzUV+;0>qCxmEGUbi>tFQP#n#Or9 zw0VnY+fufUeXlysYEubA#tW5sdTRU?NT$wRuiby+i}J~Cb)@_w0r}egE87%*3~v2m z!eXO$=9jIB#g`J7Tc)$6-it1PKQGE@w31~TH8pgJD)W*mFTbS;_FqvXNsUjD?W9$0 zr~5&7Z>w1eN&xB0MS0Nqqajms)edLX!lHKw;!jPQ#OCZ&IC0|dRMBQ?jKI@GL|0tT z_(Bnhm1=$DSMyG{PcCG`%@DFWfi&!*-{MAR`l~ITn9G8p7s+1+{-c`r>FW#q#a8Jt zH`O;BM?BxkhyEsu3%{iBi{dQ9{-g2m=oC zbKx;myerUPOT?VJXql@o^7xytKm*Ie*<#a)FW%tG=yvnB)26x~L8p>;?x=Ej_-h{< z2Oh-LY15L?AYt&BG)%x}Q#;Gyla$R@LZJtJ?6vDwwx*x8Jw%`Bl&&FK2cpm$G=WEk zi==#>nUWW$`1WUb563&qR6k(#T6iEgd@44Q*uIl;77(usGXXnx{=W~P3k$6^kuZkn zVc#dD{1#!2)HubORS0lQ!WAY~f&wpz@xXCh-NDE;JF&%#NxC(a)@H$f7OH==I+1q=XI z?CN!4b$yJ6{%Db9eV!sgP*@I%1&d@d2C>47zKo)u6ESDUfQ#M=pe%&8S$*nVbW7BA zY^?$IQf>?XbA^E?K#Ridor0Y0p+0V~2PcIXMxNeH&YBEc9gntJw4SxOfsNp zc~eDn$uFN-M)5X0>du#(YW_SI_o zC~ek@VUc z-Jp7j>ie_iT`hW#9F=8HujZFlmm%Z^QpspRn7=v*ncU{+Bz?0~dyJC?tkS6(udGgh zk&%hDKH=pODx5NDGSQO)EC@=Q-NIHZ1M&FBF?RxICB%q1w!{*W*Y5&U@p}}|1vEI%(#(WLm=rr&baMBVNBs8H!NfYs)?o z&vFJF=k%~nT!PSUPD6<1l&JhM>#?v}p)q+Y?Z#9A#@2_{7BSZ8u2ZFUL-5+U#&PwG z5kab|$1w`dKxO9WvJ-C9W~t^|=Y%%v`wEw{6Vdtgp@IJicn^@^t9|6U+D6=PV&;;; zgP6yJ22(ct3f@?90}h`)W_Bv`)jnvqj0&lTxirc-RlWT=6ds{spmv}(TPl1QN&6ir97^L<2YzS;FEFKxYFN-St_#HGA7v@8EY%NIa7X%#D^c~plE zs`_C2o1ImiKHfaebagHvo}B@mRLjpM&Kj-3LS-;`WH~5;jbyy@>v`}CP|Eo)W48;X z8Ppw{MYZN!em~=D%yiG}c)0WNlulYi4;knp$cRZD8{$m#S-9D7a)&xW8 zRsRzRC+05y`;jlwnAe}z9ilRwj|2`V$^RJ&VHkeG!6KmY=Bw|^61cPcoF5wYJPPXV zc*$0RWNQmoSv83Q1Ifq68|%25?OxmIr0vqd*8tKc9pQ%b)i;(L-z26I>3KJ!dV3X5 zih{~Gb)@vRb9B+egL)|ow3RnlXi|M10YCc5V4rcF%rATiGjRSo*zb!ou84l@D%K8& zdUHz#i`UI(c)easgu^&guku;*7Coi@JXSv~7GQr9r+OoZkB^EBYINQG zQTQ-WclCS18eZ_7`SuiD2Bl%70=n{;Mkp-(S`3>8L=<@v1V|CjU+}Fs6h+HZ+4l-V zAbeyh0C(%D>hDi0MIyy>W)S1;7;OzbTUrPh?=Xc*i!uo^H*JkL$GzPSp$SG9nHZD$`ol9{ zt%Q!Q`3%(k)kEJ92^TR;7{D2@Ow^=#H^eNtw;!g%&I7Iu?*}s4@2?D(_S-+*0)PN& zONcIWax>xw$QuYLHa#e%V(0VuTb~i+)B|g!C7jSP3N!>eLOWn~mM=r$|2W@l0rk!Q z4534)&+^$zA=im*gFFVt&PxpziC#_RXCY5Yb_-){yBA1{s|tLgMtuLM}ys{xz z=YK~4*wfyAI+`;Y^I&j}%p;lSn3o9{?M_yV^j(Uny?EEr>fLX`Eo77=D+>k(iZyeN zzU@)Q>;^N$XcV#iiK3i(9|AKhjylFZA7MADcSI|(?BSgj->NCA-9!DoE(;T&df8E) zkL_Ug>@Q5TUQRqH`!e+52uxe{NEG)@Kj({>0-C$hpA&uMZ$EZdum|1M$qDjR;6uCd z2;7t2wnLYWJd}S?3OV1PC-$oN*<9!u)1N1nk);aOj{&+{h0P)YbGgc?PE+^xh`kI$ zW*Gco&!r{UntU)?heI2 zBa1mdnb38o2JTWd>wdeekvzG%nJ;R@cHID$yN+Y>y4^C`2@DUV8L3-%{Zk_v35zC3 zy?Q3*;js7b9!{I&f%Oe0W3)dm600r}Eqtq{%3hjEFu1nDNQ&Hdgn|t0-apBrnLKKr zacgqKhl3duQDKLhVIl3qP`oJD>I7|O>HzG4yg1P6#NYX)Fs9(vhNzcgY7?>34qY_r zy7E-R!6m`$(4R6Cee4Eg-rlR>9+>%(PkxqHVn#RnFNnegDo#~HQLihn;T|?68dORY zP1S02Qa{TxQ>7Paq8Tp9jm`^L)@Y~9U1@yW-yi_FAGm3uuHea~+o^pVd5w!BmCr_} zo}3aWQ+N)<;c|qz`E(uD@x5{(lx^mthG56OBSj{yA^{}|w+v35hY=Ggapk-!*Fzk~ z%*VMQ`ITrjslBlSW|P%Z+$$I`)rH{uah==tubZeFIGPkIh?<^ojnW+tb9Q$6l~l^- zj?rk0ZR(q^+wFlVw7QbEg^u<9m&_lwnrnXb+$6(o!E`uTogP6n{vb9)8Gl^m-dI@7 zf4vd^Sz&-6jo0cs|#MV5Vv#ZqshIU^i9bq%aSO0N162oPIc-&3#%$lgW$BH~2ica~z;Zz)L& zQ%?fiQ85Xq@-i1z5y0*%MD^LF5@x(kCz9~|yekUx`E2LmFWtgQ?XSTWX9H@5EZxzm zVA2;a{*^|0ay0%s5jA_`ii&3+(BrJ0BhXv^fV4>2`^4jigOjPK*8GwpG4}_D_E=!T zryWTnn6JT0;{f>G72DSo@5qgG&;Qu~|KD|hf;WyO`!~MxMw(NRffxTS(ox*rd;ZTG z4|qb>oJ77k+(LK@FWU*ApYiix`Rz66cHj2U&EDLwWqk#RD?#uzAxmcIX+8CN`>$ie zz8mjkGss#m8#>>buO6mWNF<70+#+wtC?VVP;H+#MPU>1!`580QN_K zQPYHI)2w`PT0dTBJ|FdueM8jT`@igfE47lEp;`3rUr(=0LB6MA^ZBpTmQSaGEr5gd z<9X*5!TI*aMkhsAhMLlL;1~|{obrf4^qQWVcbmpWSGo;lV_{mYHvf@hQ!TUYD@JxB_N#)PfrvX9GTmp3a7Y&W}j8IR* zbHHD)&|6&V3!o;2$a9|O5+n(xjU(W*S7I!NH^wOo_@f9Xz2%wI!5Wc>Bo-1a3PIdO zd>jCB<4eZ}unp=f(9~4sch}Q+Gq~ES&~SQetN5DcBSfC64O>E{F<;0=z%OmdoM}T} zOHy5MWC-Ff4lgtRdl1iii%EmFgAYATw^Ji87O<8;TBmbJSAx!<#>~i7&wTL_=ZzFQ z_Q}t}0Zhx{G*A_@b!q06PQ<@gvaFM8S=>n|kziWO2z%g)1I7kacy2$X6PGFSkUuUd z)61U!9n7jKluuB;GJf%IEd<|(R2LAae47 zWtR8j6l+H6C0H=E>vqPTjkEZ5NAXxg{Y2qrm1Da>-CJNH_-TUPZ5 z_$Sc_B6@jb-R5jdgr~EljCnV=5yz!rR2<0X>=X$0epn%YXrZhmZQ7Z zO@ROGIiL11#^99OkZW-5__#Rx_mA{D9HBV=v<%Qa*{Ns^*NAhvij6mC$#;_Iz>VQc z?J*ogaszkP(%%aa;>EX5<>!=9h9|}hqXR<|p|*#1fA?`PVJWl#zuSj)eO}NLMh2av ztXo;eO}#|DDa8DQ@_xw6Q(1XkvNaHWmNn&$d}m)XZ{R^?4P9 z>ta3uF=tN0;O=8l7Fp>_B8g$-HmVyy+F*g67V9faSG!qT9fxZrB()7t1V3(wbLm!zDy zY~9l&q>|wUjk1Q-@|>$M{h#j*I0z{mzq_MOdHJAFC72qa}^^)wj7Wz_7vt%0Y{C zu|>$T$IXavHwEZPT6ea%SUjL<4iW?ZKoIgYnV0BxvujIzG`>x3xx~#?YgOKa%|Su| z+4xaim4KUVQlBE*;g37q2i(a25_TY>Un5_c`UP!V&|gZ{na`)isemu-s<^qX6WCID zGQ(5vFH6t%3O5zUh`W+vvLI=k zs3!)5eXEZ5Dhh)OCnApuVaQ=`egOiVE(oUESqA~v||Q3R79UM=ov z{j9f_L+kT4*zt|W*j4kN5WtY}_y5lN|K22j=*by=PNq%2ah38zt3#?yGiU5BY4XY7 zF}Z2=zk@MdegnIWJx;@rx(sg;z`@ePazrT-q-@1JfoAJ}A7N@gzwwtg1g=)Vl{CMA z4WyN}$p%5ArAj0qilYW&m>-JD?sUfgN_)wh;ex%U`GC3Q%Ma3?YyRQ$N1q!CvEP!J z-N3pfdgZo{DB(}#%LyVy(83#mIDgPveFHtx>qCt}%j$kX>{sZ5(sm0qh>yCXJdB{+ zkrPq^9#3WnLd(`$!CpQ(^yT}Oo7JX*o1>1Hi$kkW-whqtUuE0PQr4u&){1RQb{FEt z9dZ}x>Xf+8R~2f8I#$$4NukReX^8*XWZX8qbu>*DRZCXY|G*^Lvryd{WsZ$wlo z56ZkljCNDLhVQ05=Qaye)C2)8{?AAfm3X&8E7xk&{{!>gs>}Y@n-Lw&pD2=C?TG8H z2_vN0V{@a;ZfqPC4bAHb@J}S#N9AEArME_Ve<<=;xD9sf7KK|r(mfjz;_%j1S*(itf`WF`S|y7a9OYjE5Cv9%nwf#iJ^8UQ zi`kS)Ftd<&!ZiHimCZ9ojiN#(w~Ern$n(R}npNkb6a#mDkGQ^M`#v^>X>JAvQA0m? zPh1w&zRPlFuE2bWgq%{b+78i2b=Li+>v7L{4zS5G`Yq_QHb3^eom?v(w_mum!EbhmH%?B~Q>>JgRUq7j^u#{P z*RN|@w#6Ihrt5Fo$`X{RCYmtbv*{`Dv*W~Cw|QguJlZ2qN%o!{J(m_oZ@q?|p9k7l z;%EIgNw&KM4UD|LG$UDZJR|QB(ZvE;6WiS{ph=JO)V6E{XS(=jKpx6|Fs0rl8ri|_L_3RV>B`G#2#^n3Mysvp#JBi92zpX9HUMS ziH}b6Qmo1ENM%9h2IkE#gpH}G&KwddsG&c&dxIqJeBQh}G?6I9!M|-#ythEpMqYS< zJQZb}CHE)osA4a4;V(--$1y8c$?qLibM0?CFGM&7{|9dx(PFp)@8SB5aYt`a&_GM> zx8guybRriYVX<8G3KM7#TDmdzlRZm5ub;-22}5vfrBEl8n|X-*y+#QrY@3u4)Kx4SS_oly z(x*?t(zx+&>m$fTDKV$5z?ld@)u~1U^NAH;!Z+#&p{Aa-bKMUYOp&+Z$XoRRhXz0i3=B?$;hc zPfXm3Sc>ybX;^eJcK=9?69Zjv{i#}45`vFpyad7UmK?rNqeldp#+LA{f6TY+VgcfC zA222N3T%i(MvR{_OB3wQ$(=o?h~B^afIYk9f##_BfNswY8zehvbZK$!x%(+W)#LTf zY?t`F@gSUjFks=7s|7Y9>-Y^0Lzg?%TLUiecrsqDy@hMG@Exs$d=yj=! zacahU0iYY?&Belg%=h%ex4-#}&x(%`YZ-|fiv_+U4vsniAJB~r>M%v_a^Z8v(spbu zEaoCM27vm?En4Z_`kWC&eVxdtwVJBj3~S;`_-`v0L%VU*fL;OuaIjS^)Ry5|wYFG`H02|n%v1LL~sgw`9sq)oqa-B$7Y$L~t!^pPE{KiAL~3iKaHEUdgTYBd+Y zkiG}?e@cd90Q_Tp`^ty^#Yt2SzX#c0~nIWUtq#TV4)Z2^Izq35$jeQL^y;K2<_MLk-)B zX|Ylc^|i+8Elfg8uATWuM6PQU24sBT^5vI8xpulrLgZpnMI{*sqgNu`NsT!Qqp-jrK$~%Vdan z$MjA>NHpc!@7~i^{1{O-Z_W-ulOQ;VQAbL6lnjMU#mI>CCtS+p%g6`>EP-Hd+a1Q& zyOFevFPO_dal?W04x{>)985*+LURqEm`CS!L}owoRb4|ew_VT9C}OVrRgJ8c*-ILU zLq`N`x4%@MMG<2+&dxLLotA&4qvxQ0id6(3d(guU&iI?`I9N>04{PhKkR>nw#&Dg} zhLQ`Q2d>eN_cy-f6Jz8CX@MPmXOWYGa?3s$TV{Aic2CT0RRV5-c8G)$l(Cm1^5iGE zYU>-6he1-nL*Xjiq2QwIVFbOeaQ-TL2CQ%Sc%fb{5i7wQgF}TPJH8!OHx@r^@kO$G zR|&d>M)K}mhqIz=-(q-*`JB#Q_c1!@%t%#h>trV$(47*t%C@${Z7{>o4&vYCu$Su9 znnp~1th(bvFQ1**Nw9i6E&^t3i2!oyvMDE{#XC;z7e`2a!)UWd$XSL_O)VGrp(rpM z57K`cG_SYUz`j(OwgG%I)|d&g(GmH~bN!9vF9FyIg0_>r0(nLReac+w7eMG^vTr&X#FxcFs#yNh|H66`OBpVNRnj+`7sarwy)C=x!%*{l)s zsVFGAvTr1~?G`0tyaEw|-P6MoQ`T>D(jG^40m_`3uGvpFY3Cs6f3r;%fGgW?RH8<@ z_Hzg_S(@I}(jc55E_>m~jaY|eL}dg{Y-(nt zVF%}Fjp_?_cJG2e3qyK4Mc;sL$O-8SBu{>qB~P(ScJWS%FZuo;N%t2bbzY2>C?L7x zfkto0wh3~+1^Fh!PS7%4QwujsV}O~UF*QaM-CvVYgB3K!35;x#*{a&MCnllCVMenS zmpI?+Wgt)YfhHJHC_mkM2f7Gje#DUuY|#6PccvY8OqK8Dx8boPhK~lm}xZXDdYa#LQ8# z)aIPrO7e1GbGpi2mjFM8p&-XS^i2&6pG&XZ*~ydZTPX=V<&-kiaQ>o08Gy_<_F(sq zbDMULo-R=F&`nfMl9C;|J3;Q~lZ=dFI$d?c2bXU?_0Z0A@c1J_IeR)S}+njSL^-#QL9Jx7}Y#pWy_2I@_*_Uu9VR}N6j27zHMtIWsRk4 zfb2lQl?EaP$Oq$3;>zJq@5Jh83 z(=wt_*m<$&Z6A@=`Fgn%cV{_S0~dY;e#};urB6uNt2RlAxE+hd310}146Z*=XyFJ$ zIP_cbgabBXWw1e0l+>W|%C}B(?p|cwsy;}O?0=8B10-?d;QK2Yn05ZwIDeRVR4GD*$OCmnva zTlb|)NOW^u=|4cr2)ZBRS{^4>8n$zg*QIjM^iF0EHm1 ziGU;jmD?Ut|M?TbVCFdV8yiJ(d;RQ3dD!jU(6Zn*Qo5KBadKubyjcd|{h zm~Z)du3J|0rB@~leh|mld@qU`6v4DHM#=6IJh>4dfU(Lny3G4m{I@Y$qe}O%Lx(^a z^{k@&i-c?Wa@d)jFm!cpwnHrsx!iUd@zw9aJ`wdVxYm(|1RsUGIxHZ%!*;t)RCLX^ zuaaz!(IhJ4u9dc!`A)yBA_hIW_Ix#XpL>OW|J}9gVrsx`aMMA)DYt>V#1r3=u_udp zp#D_-@Ua2YOSwOTAPS2P)Ua&_-H*;~H2$MzOqb4Z#0ng~2b#@ND@s(l5aOu=5m%~` z8e1vORFS5birevwcxMh%+CzZcVCp&3}Q*zy{9}}F*p)I#wmedTky;6W1 zl9*g{qZt3Weyb=-Y_Udn*Q9#DXE1otWadDlcQ4`gUfOVv7evi){Xs+vrxcPlD+||b z$kq(4RFRyD+(X=e64`eGkabmDLKpUn3>^z7i zAur&Ue?Imto(TUL`9UQ7vB??ayGwdF!+7e$2Ec-@{=`7FW;)cM2^iD6mzX^Y2=#a0 z+L452CK;i3=Yla!CK%dR#}36@m@gu-%_1&+ z@KB|5`dsdX8k2^;c1d_5Q!l{)tE0Xm$MqJ191cVYY_O4p)vN!e0NBoUaz9QYj(|;H z+h7qC?5?@<#5Yy(suAS-A6@`b2n3jE<&hi0Z9F5p+zHG!5NxV&d>~2^w! zT$E1XiQS%8yla1>AcP}{$A3e{ace2*F|p%UVSP+}eZ2B^n&D}o`2$}%Ucc1rIAB0( z%Frs@68W z>Dd1#LeV6_wrbhll2ifXBD8CLiudH?JpF#viQa({e9q8w>4JJU+*E9BMYBSAL(daA zy0$SAB!E7++yd}jOQe6yC+kP>S|hgi7rBm5d}G6y(Ok+ulcuQG@u* z41633E+~WvCwQi`K4ifBWD1R?->0SucpyCY+dRS!U*?@`Cr~^$TIHEWnLn3%?({|_ ziwMeA-q5Y;PoKm`1~Nd7PR$9E-#R{Z`VEYSwCH`){$P;it$HuU`EDrZI)hhlB~JYQ zcjsBF=IXm|ZW!SRKVDn$~h`i{$(fsGjA3HNM$~YAxupGi|q=Vc)sG3DSQ*vswhne^lM!fYCh;uku?*3 zIV4{}A+mEI>wd)4QW%(77j;GMwy9UXEn}y3s+)x)wkq8OWv^93pd9fK?%D*xDiq8{ zvbz6F?uXK!JkBbr8J)1E2`Ls0{FRj1;;Y}~Xc`Rze1GlmBZ?X=ymmZ8PMs|6c?>&W z`eri6c7UdBjZcF-oD zeN+yP1V_?vt5`5gA}f}!&mGa!KCgBei}}K5M9N@u%3G?1@v=Og5%1o>q7yr@JFc3x zD{6r+|C&9k+}}Jba;^a5-{O_m`$%Y3M5zz1hKw;Q*R%ej2{6R0%c$aL1#Fev60YdV zsO^MOopBqUk1%aV{oYy}6l7TF(WOHR%Td_gkRTcMw0QaXy{X#|qFJZS-o8HM#=I+U zqXM;L@38BR*oXlf`=+)EQbkf3K+D;Ai04&8pKn7%sxd~*8}u{n8vPdD#PfC zy4=Sm=2k-NOKiuSq`J;;ay$RP?Pa3<*WZ{3(_HH{8K9EwEUg4vs$3Pn%kfcxjhWdi z&wLzBPu}^edqqsMaTGYZ_4KEDHo5z{r^|IT82Eh&(D+m`&N;X| zP4)!ToF0!9DQ@((XrF5g_#2R9tu7F<0rBIEl!kfcRe;gcNEKBKOe$?M^Xa8{jb&u- z^Hcs7;ESlx9#qSFO!sg*8KqXl){RApxaDb|S7lOLEOzOj!vMvFQio2bJpIPGKvO7m z0OXi)DY)&w+z&KX2?QVz;A$ES6irwcZ@q#J7OBXY#xa199+ z_~Y&83$S?GT5J9O+1iQ#_V4JNMI%M&NWOi^dr4KvPJB*3koUmYZ$C5wI?&9}`=7)9 zxGth;&;FbwT!EnCJG-`H-0PjD4DeEQbSsuux~`DUx)87OD!t8e^|B)NLq8qFePwrc zOy@!8!}pl{{{5Y)=E0a==>JF7S4UOVZEwTjpn#MhDV@?Sh{T~gq`Rd%q#GqArCUn6 zyGuYiq(d5{q~j3Z27K@Dz4!AE2ZJ%#d#yF+eC9J_&HXYpv+;?5zKCE-w=+Mbf+rhQ zSU}api*5O{bBrqiSK~9W3bT?Zpd~s`bwn7)tf}{7o(>cSm}dp#L2=-~E@`h~RE*CH%~%@lQ1W~q1m+qYuv^4Yj$F{iH@ zZ97c4_UY6|8JuuW!y7xmWM5#4wMbC-=d)X1ZBNOUkO7%kgg+PTWocYb>hCQ5<~jOF zEZXDY_j|Rq^p+vg&><1b3H7OXxI_IwI|ZKDs3*eEMNr(ZBD$SYQBG6s)xtQYEsJz# zu3kNqkGb}M_A1D3xT8lpBLkt%!dRiP35GeM2#N@`ht0Ki9tdY02P z2#uZ;0)3peheyhF(P^+~ym^DWDkK49`wK&YgHidF`~lif)OzaRp6r=S&MHf-VT*SR z8j#Mb6{$kO>BA)fwQ}o9L0YjM3|~Djp>B*GHR8fdal6qbk(Hfvp%pQyHpe+amQP)W z@f0@#!I(rR>2>54wxZp*cFmSBdV13FR&SpTOnr#i#c&X;WeaDA^<^3!FI-0)jXPd; zw1h%DQ@8%J8{$0OE*Qm=UA4NPUBC2 z%PP|1GO__U#4llmMxW%T7^Tlru_+&Tl*0hCEOvL1E>G`UZ-MM%G@Gmh?(#r}U0@Xz zca1gDApXRsXIlqGJ44NX`mS|BX zzI>IElrr_LV{yyfz3u&riO63Pj9~)FO@ta80w@XYFH#5kV}Ua2J;0K|I%b=jPfI(R zrrP}mukFu=penLqRf<{od6EU>(i8X^zx^Yha@Tg(hp-NJ*(j24x8GXg8J z`C6c1 z8*tp_Cy@qB8~WlQ8})9h*;hbEvr(lDaD~FsLqJ4hG+Wu9@lMfds5+vxcma&|Rj-RT zGQVKhSk@0HW7ku=61cO;tk0%dEO+-$b!4k9!Wk4$zxugjp{>h!i<0KPirKvjQ1P}9 zCS#i1M(PnR{14qf6=*Zn{WX|f2S|V(wK_>g*$_vNm|U8#?ACZM$3%$=9-p^Ug~f{l zHrPAFwGGIAi8qPKwqUOgGg?vL8C-xKM#r5mxa`T5aC_G)p^#?*06aewWsO+ z)@TsIh(8q@oTd7d?dW%oUY!#xqtYw*qPsotoZY3(7Wyf><6v|p^ebhXhlNSd%VP?N zJuPrgdgL@v(-_1GHZ4C4T>2V0PT6#^g~?W`B)m@B8vT~5~H1ox$!Za4o_$fgcMN~4Q9!wmW7lFzxP7H(aQqLCvdJvW%k zs|T?h5n9K`UPc&^+HVcgGd~Z&+Ld<3!z5KQPg?sB|HLFU8+{_K-hzo?>;?XwJQrw_ z?!Um+qfpbt|0Yl#JV!YLb0cQ<)dv!m(QAr|8X<;C63|n=bDklAj&ZlruQOVvC4I z6h`*FNuL`A&!50E>vB4T{)$9f7^KQ z+}*Z-tyrO6f%(!`V90PP)n81mV<+8X6Q8p2u2 zFYSK*2HRo?wn-qo(ncNFYk+{v<&vx|X-XhUOt|Fv6o|G_Pk`8pCytZKBN`er#sL;dcw4F`rNC1u??BgMm^8zFk zte{ud!bp*kW=#9^H+YKD3mgTnIoQMD7F1Do zeo;Sipdnuiv5pCX4(*H3*xUw&r((h%+?NU@fPpe_#k*)KB>I9}0ncyteXckPe|-2j z;A3^|9?!NnG^ZiBew35iQ}Xt}s~p`6Y8YejrN^s~>Xdh-N;uNz_lFY!j1b7Gm)ovh zL~iSStP%g}_wxfO;mj{a-!xcS)A8%=@e-$gB~I~wiZL1Lr*t5=&zC{iV13hUE)E%# z>QGnG-4!P&SSBrs>eEaaNWA(bh#kM4_<*0*`P(_-Zu^WxxE5>b{p9pZuL?gRAYRpwF%RySZ3)Nq}_<%>NpV{PW`} z`rU})*A4wD~mB7{tl@0!C2D!z&MwH`sAqH|oed)B0@svGV=kxlUZ-rJ9 zc;C~%p!rhJ$VYpz_$)%;^vA`@j?k9fUCe#^kVkKyI$0u2A)(mOOlVU}j87Mk>*~6( zp{MX{#8)*Y`jkEFcm#Y zVm@e;De;+a5bYeEQwCLF9FjA4bWs@e>`l?^t&I4wZVEc}@ZVuml+J&qn&Sh*s=|gA z`tHdb-#t=>Hn0aZ1cbq!FJg>0xNz{iS_0YBIAoFYD;aJW$roC>@cuDxT-=gE)D=+N zH(UZVG8IIy7}^_FvlYUy$9e(}f(P`NHl3UG{eWKj(PebL?CFoP>)}Bn^}8#RS~0C} zWai4n;I%t{cFg%sV2aZ6$69{4v5ZXH41Cjg$kB??T5 zv#9#ovwDDXcgE*G| z_08&dB$3M%hl|q~9K??d^+j|q?LLKUGAKzfMkc{B(*&(Yd;01X z&t=1v1}}Cy5$)_S{Hea1u?iuvOPLMAXIjEDf1N>?`&b!yvwCh&aQaK9SG^X)GXC9# z*X36wG9GVjBD=3>7zA;+>lnmG;fCqiHp<-9RZPdGsHU6@{=_g+wR|MmU%y+Hy?kam zTwh^I0o*eT{r(CE=db?3|n)_jDn+j zqR_Dduk&>aS`I#-ZmtK}%u(!Fpx%Me%K0`d;n}!|1WZ8z_b%7ElgOY?*-DMS^f~e_ zw@tLDa_|NU)|s~E_I&ywUrgKkDw33GJC^SDW4@-eYE+pvEY5i4uH zhJDt$z_rtV-lp74s3jczhMF>36i*FB!Mr~jIRBN?b8wy%&-M_0IzG2W5Ep(q6^;aA z-IR-2H^mkr8OJ>|wSUGTxkB{K%mz07GkZJf+Qu)NIBkeM16&bsx2VyHd>Zv2a30RR z?TT2|D_a*n1LY%qCMpP#gn}!Y!jGG>`(uWGGW zL<+4EIvB9l-75(loTAnM7{}N`z#X(XgH9NI1zn_CGxe;OQ0%>QkrLUc0tXv?dm!{5 z_GVm8$PFwV-s1jH24nmI2I)r0LS&gSwhfVt?$mej#FMme0H@;h9Cxy|P;T8@qkbsQ zqs55Z`!IxQ#^~4*DD8inGGnIKKE}B|f<7^wJoZv+b;`5U@h0zkenHK|pRYEUX-IvX zBU9JPPoKiZpqsMO4&*9BJe@zsoEcB>9d=Qtu#73QP z&!3N>K`~E^lKO)*=;9im3e0a&lN?^wk}l71lIX8E2Dz`{0e7xJ(zT9VeNj~-Cy5%} zt}2^Kg;hdh7)Y0!MtgPwH%p5d6CU!(UzJO_>J9fpV-)J}-gO44Hb05wQY`_l3` zkl6d%mpJbQjn0pE`hnAn)EKhF>o$?j&ZxJ$iUp^IaP zJy6@fZ@nAY&;5QGZJzOlAqUbC1$;O{QSvN^S|$=0=ikwubqUW|f+v^4x9Nua97^28 z4ol>A=EUV0zI#a*2+R|urM8!x#&()J%&gNTE^2?{RM9=yG+*(RB;tjKN=_0KR zu0oXwe$Ms!HARf(YYTa(c!Y;T;auCqx-~OLz4}Qj_QaF=qq|yXY8ZQ^_n@BEBzLNF z&!~V%h#*M-q>j{w0My{;7y6Vg&<`gqw4`CBJgu;#PG^_w*-Ci@kqb-+**AjrNLx$< zX9Psjr}Z&?9E#B9-z5e61**IY;|px#KksH!rGL7Y>imTM)N`6rJ>UgjNwl4%)}+h6 zhY-aPk;5HT*eU>@@Mt@s!F0F0Rvd1naAxwV>ap*B;qqp={q%x`{Mmj>ZJ`u4e+|8g z@iJWZpuqFF^4UOiS@1`SruHhGpp4yW447Tn1<$Mbx{4ck z4JdR3B_$F@-~L3pX&7MfCvA@Yp-QrV_f}xG<&TvaACzH?*@@q($gFH>1&P3i7X4d> z&)rg>E~QQR6~?tFNe;-3-~I_o-*p%+1BwIc`Npwn^R;fyYQf9w)txEH9qQJCm^5P2 zp#V=>{*>6ELSw#kc4F^>MY>kHL6equ_>MXprDBv0!PzGf;l?8HbyJ_nPH+(!)P!Js zVM+e%++9V_=N+>(owF@{*|)ws6u$0SyqhU(BK^GbCRQTR{nv>f)#-Jvk2mnAv5%eSr+eXOl2ObMNaU$O zx7i2y%w|c>U)Vj)O~y_y{Ks;5#XsEb1B{K#x&Mydy&Ud%v@?SIf>=m;X8zQGDS03B ziJ+qwcJZ|Rw1LG=y%v1;p8rcS&HYkpzZEXKNt`KiBB5@i&+38b$DRFjOwaI zcy)Rp=;?;Q`yG+1o1Z51_vhB70-fpTSuEfLWq*Ho$ZONTTD~EGO!aMi~&o$DgZkV5vgFCbOJDw61YUok870p|X`%~iMvRn#1 zb?&WuM{YD&_|hS?XL9Lg`!2Fn%PybiaNtNy$GSs%Rx|HQoA`dq(!~U{X>cgDF}t~# zgR{_h%4B=Qkn?uaWSyAtCP3JoB-Ldt6aPh~gYlq_mMj4*n3gF+$R?4KZBXub+hj*G z^Nz8?A`i9PDb%^B`Pm(<`|VMnbXj%;mGwD@%uC9lm1d&^dO5SSA!R%^_hDvQa?MrB z_Xn9%d{sW$hZH-^oXa(~F6jzuss=32mvQjE8qb4x%le>b6)GC-u4F!tZupa9KTfSY zJTJPphz%BQUx$*&D@-ET4`wN?r*!PtUtvI(qUK``{h5l37nyZ*(5X1noxs1}Wk?cB zSwuy*i8JVM4B`25qt~qsn)Eqw$M?ory~WUk2AAH{dYrBv$POIPbPkk8Ri!v@NJyyb zxQV$Z&pV#ttPO z9q)ByQQ;8ZEY`b3tU*iNdeb?oZ8$e|yTpKB#|_*GkQCJLBlAiI{;kyzdvz|YIfuYU z69wef^|7P){zgm)#F`E5;>kAUW^>Rra~o9W&i+1^y%QYxzVwNB1Cd6yP1tV_%A01R zR*0JbTIsp?5vL?uxf_}Y?HIl)90|jwF8yF$D#PcijNVaF39`|I5Q0ES^lt@_HU6Al zV`Vg%b-*OZK{G!2hHiozC!bF4&O7e3$%~iSpKmF`YW^zw;h6xf@?0khn^Nn?GV%ta ze@kjJ;j?|$-eA*c5mltsT%(sLnCKlgP#mRMQ=PL}%g|#{8a>6x#p+zkr_R}o9vw#+ z!5jO9(pV?V=5}X2_|k~P=iXRGm_SsJF_u@yY#v|O2l-Vr7LR1NFV5t0_H=-8Y)Pg}>9U%Qp>Zq3s; zGq}~^xNjWTFV~x_QJ=I=+8v|G^8APvTgB|y#OCvA`M_%|00RpKo|1u-5agfOyAehZgNL6z_B4wRd?oJFHw8sV>U>!AL=NPHZ->;y=4ygctY{Q0YCu784=NZJ zEBvie*RC{{o2Q{mcgiIV`x2Au84kV_ty1Q~R)39w|4@-?q zEUM9~jV(xf9!oC&26hKC`G>Nc%%cn@Dt(giesM(j5RsEU^^F?w;{c=MW`OdDy@lJ^ zpqItoGzr9m*L^nDQ}t3cVln=Em=Tgh1+=feRI(cW&Q2*F`0a_tMMk)-t?}nPGVfUMP5u+j=wdN31^G1}u zJbHyrT3rG}PScpd{?xY$DWPvDCT@?LUWKMV!pl>$eZ_>Ht3c0-{n*bzHiD{8*D0Z7 z!M%V}eHV88ESRuzA|RsW_*%gk@yC+ul7B^QA>Fhwye~VF8ozLEd1e)&uf_{z*k}Qv zE--4-a*dZ~X_fAcL#fzDHb)nRnpa#V<7~N?DYa5PPMrO}l5r$<*3-X;qFi%*{w#o} zf-W8kb3R+8B{A!Jzhq`~c*}EjZo)v-kT!ACc6<;5vYxNI_bu-mJq>%N;JcfJ^iXc7 z2pT`BX00<-+)YoVY}^!qyP81@!>UZFHVJX-Zn3L+a;gBP_reIRwr#lcX?p$GCBkXfF~|)QrGdrJn=b`7Mfyi()ubV zr2{?Xq8U7H!P(XeUbE(vrR?o3crxw)+-IOuinh)qw}#m&touLD_zkkYMmQNlmO%&$ zz%C;7X@kKwwX}?sYuelkHgV~csqIT^cE>!H`Htq1{ouhZRaaP&^2;j+KMZ0|pQ8J#(%oKrfHYS5+u z;!mC)_q|>$gw16O!d0C%EHGSoSZ2sha^z~pv#ex>n|JPta#ltXX$*U;M|IWoslI8< zqucD|qk~8PrSnn;9z>oAZvmWr8~ny_A`PGmV{UPUQ!TW-GA_3t4{pRKUu?CP|LU!; zIN)0?K0W_3Jv(N}VBep5u0Gx`L(g8NX7f7@V2}fe^|}&``y-?S1Cbi^2oteBvUY92 zlHt@Kfzzx)X4N`p!>n64-m&fH%_MtEb+SoA+{4Lro)Gw#Rh;7eBJuA0Lbo;2PZlmr z%v_<3-C!4C>J$?Jl08t(GOuM!SMGxE8R-KY$}_<3c*Y)7!E&b8!6B&t$BzweISW3g zO52ECx+bnST!x#xt}ksAzIB> zlf zNa@UG94&hR`T+yFp<=e42oN-HvG1B?zTpJMYrK7M9HX=;JnNqHS%dZ zU#jYojdiPLcp9hX5cl?0(}{0`-AR-Gnw1Tgve$=WLihz~&0$`l9)6R*uuk%9D^kfA z6~p90+-yW*AbHrUu*z$Nj;zs%t2gy+4s;!Br9_iln=UP$xAt0aN;TASkzzmGD%L_- zv64&3v98E}Lt-wzg=whw-AaP1{1%?V8$!vG>)-CUcuslVFddovF2)nb+az{5^46_DP9P z*Ncg-njD>+H}{|)59WWND08@WOyBQJf7b4HN0;2j>(0dJJndqh!B7k(zSR4uxyg)K zo{41h<2_15(q|mwb6M?i3pCy$+vV7GiAV9eXCDTwW^b>tiA@2prIPKP- zqec~Lb}js*sjx7yZ>~vsvRBP&S%(w$0Qm&Ak?djV6Q#|{mU$BRAULtMBlDfMH*bc( zkC>2zQHGM!ErqZQ#H$z@WuIU`9Avgb+tj^(^!?ZU)9-3d!+>47&Q!f`^jL1>3`%s* z&RYkRhC)@xOJA-#m&?(i(FJ>gOW^ISrWP4bYXmN+o^HoRWXwki& zq%pbTojNFA2Ka|8JdR!OC>Bba=t~gec#gBhH$T`pn@46B(&34@`?2q`DdXqvF`yUhB>0#|L0(3==guCl0n#D!uy)*$M@&iqtqZ9>W@tE!@iRfj2D8VubfdRb% zQ4?}7nb3Kk9u42*Sx#3`^0Vk$Tqi^wjY{3Jkk&f)F${8Red0SQb5g&a<=~I;c0HeS zQ?(n?iQu`^8d6y*3MbB5O|K-87X$I6~|yAlw4n*I77kzv91V9Vj0ssl&a;47W=>Yl5X+bSa8By5*KmO%C4*6EC(nM*m& z>pl5bs9=}W%^6av3d2vNiaLRwNiDEdsO z`8524gkizaU@~n{7qu9$2=^n~%6T?@^@*Jw9rutDG3){eMqzxDFfT?#Hn&r9n(v5D zgpBu9t6w`;RsS&IceFFOxjRcGrrJ3DQhqV|{^(kY>0Bwy10a?mK6_d3l~ILr{?dn3 zm}ZWh{pfMPNC0QUhqHC#P{qgpla@HLO+3~&p9mIQK+SA*1a{3D;v7qUKhV2u|1*|& zYp_J*z~Lmba=nR7wkqym|HFEN?!5Wn4$a}GWb2)Lgv);zB48KDrm*hl0XXPSPDEDM z9uCl4vh6jJ-_5P2;$Xpa9|mqdE+rPJ55yb6$Owc>R;-SUk&jH#lfSI!G}K@9y;ba_u@404P}U zULK!zzCPmvl+ zy9EQj_53oTcch&#Sh@LBC_SEkp_z+iX?VKAD$rvsbm@?@xOH=IaVbfb421B7QO~_G z_e5hF?mxoQ>O%|rQ${5b;`pdCk~n3ac}}~< z67TlE1&a%NTp{2Xgr)<*WsVQTe872eU!US0aX4*JKRT(1C?7vyxc|5Jz7D$XU!@7& z7U*FTd0$=nU3x}c&ccfUq$9QQ0}kN}mRPT?ug4)J$$tNO{7IhAp1zEC8d{I&0}zl{ zfktuArJGtDY znGJPnLWZZ($@9tDGf!c`7+@C*4%kmdj|W9dfsPVxdr*u{|MO8lB1s^DQRtukvb>49 zwwXL4ru!HjL(^_Jx@Rr!Ee_SjxrnHPVvNUSNdMaClCExfC&z2{URD0v{g9txB7h%w z9>iC~lFw7NT>7XHzCRF!H@(;SG~Z~N3qI_nE%t(deBPq7_1RyR6AAJi4^P%D!}7kE z`wE;-qU$LRA8nQxG95Hh)$3PB#ZCt3U$VVY@OjGS34CSbLDIk9`RG?7={iyAGVKa6 zf)FMWd@lW*ws!H3{$LJk3}5eeM`(;g$q(x~H+xh0Z{n`chR=Jwb?&6pTkRYq@(#xf zOTN5eJEt=vMk0ReT&_0)z$|g08mP;}u7-POk2?wKctnVgs?> z&|b>1(Z#s&kv42x{a3~4|3op_^1mu-uZ0W>7dGJ6jXJf%YSUiCpGUtWUw8)}MYwux+}(sTx**3?)YEHYYf2mfm`e<2rG*hB^7 z1Rgw&Eh>Oe`s)Aw_E-1^nh6V|%O9!=)8{$Lx>s!sTzCZ7?z zz86ijAppn{Dy~P7p$E9iFI`ct9nvi%=@f%iJSVd}kp!&c02 zz4JA2oj3g!&4TE^j%9=s#8b5W(j@#La*`(oEg*A9eH7Jo%^!^An~m?5=cK7^DaswyKPyN@ppfah&2z_|3WgaJhVeB3 zTN0C5nRQQy;62(KdKn^@Yw*0uG1v58hDQ%O=NbDBT~OgK7y|j@bdLl0$+(t3W9F{< z>*oJ+e)8(RTW~KI4T_7HsvkoybSztnyPN=1FJ3E5-2A*k8DMj5m~=s*(A53Tk3DCezb{QfLx^*Pj8s(u z4chL)lRTtDH5_Dwcm`miGp^I|nzON!Y0@GF4a=*D?5u zPz_+2{1_!0+&kSA2z|7Ztp#}?coG31*}5NpK{+2=tXd4CfN zO7a;_L0mB#l&Tj$4BcXihmt|c1+VKFIO2r#vcEIp<^jO)UqXc_!*g?nG;UMcIa>|# zhj9{JDcI?HzUFU^*Icl6W;!?Ge6)3Q@wSsX0=}Pa9s8ef3eGxwPv7$!>!Ovw`94y^ z|51B%u^u5C%W|QFG;;2NxZP>JVd{rG7O<5g_>?Dh--ia|j%x?dV=dxBw&ry_%cuP) zJ?-XwU64WKaEAr9vVRvjasZmN?rG8Bc$GSLcZqif8{m#-A&32$O$u#ge(J!@n3E>A(`nUDo2!E2Ts$KiJ=@|6m z^o&QLkP4!gZC<7HFDrR81uLYwuMy9BW|>HKE}V*UeaWvGCYW<|aernuA$&Aum_n*z8pRaWD`VrugnV}?CI znc_;YH-YH=VfQz5ZK1_CJHw-oftpH&XWfm9@rn~$ib`VW9%TS)p^@{W8a>JNSyXIx z6^$OU-ismAc8{@lkKO-p3}1sz;2R~#z4qt?d>}VSTyeQ`WAxqPk2ISE1!UdRyJqZY zEjdIEfbPSlRzT!=)M$$JcCItW&fRF@lBBR8@{f*x>EFXX9ydb-pY$}iDni`)a^I@Y zRb+$t%r#2>#e?G$4}=)TaAmP`8EDpQGixO4RIQ)z4IUW~cdC6#`CAQne3CDu?R8V& zy2E?$mZm>Z1(zIGLTmz+!R_7 zCENZlO%6&-%}3{II9067L{!BE{)(f)XPjhc3r;vibSIHJw?`ZvXTR_x3*!Gg5-sXq zkCe~o3EG_}h}&7mKcCgIBoJO2zbc+=KU3LTw3ho1?jRv- ztzMK@#vBjwkk3s~ZpOz5nMCpMg2-J7EdP(+{{6{^I>RtiN=iYmOB&U}6{{M|y{N$e z8~XJ@X4~i^h|{TdeVAp97HK1M7Ov;2#I$bdR;DB`e$6E;nXdgqSOKA4fa1`yM$zKD z-u*p*NEO(;oQ1`zg}1b4zrK6HC_FkP@jM?3Dm@!wYpayXWpzTy!u}*xbAw%I;rd(a ze5c%e9^WW-ZJF7}3_T1;8B6a~alw(on+Gv-z<=0IA(@*D`ohW?w9PU$ZO&iFyZ%(v z0L^k&jO-D3eU%Wo2KQFNQjBfJYpTgg`3#5YSU6@60uCxKePk|^E&rO{Uz5Jqp4Mjx zZ+Je~Jd?|E`WD0|PGe@*SRGEd!gq%gwRw`~ki|tvE|S|SYSbFzm_VPZ)tr};)2Y$1 zJ)5;XD#keZwJ#XeKb3kl(*ORE@|YmN)9xoDnwOqCciIm+bz7NZ_DtCLQN=_|Wb&}fk7YzW zu@pd(alqWbwL3RoaCern5qen@$W~Kj8Z-UZ-poN8EoS?T0Hd%}r`$g~bxR+Ao9ddc zckv>Mbd~K~+5x07seKcK(`DO?gT@}jvdtWI_;km!q4*C?4GNA)2k8pmHJim7=hLi} z1cz4+!Dj0;hADI!%0Rg z*A-_nrg?__4P_074V^W3Wa)?~8K#i8cNlh5L>lw&IE&HG(++|xCm=zsTbjlD_`E~K z#F%&-+9@}(7>N#Pe18%N_;wHbla@A6)aJelJl`Hm*J0eympSp3acqoNu6!_G7*O}K z1XoV!2sDRbEw6~6OV@R~()gVGu13sSl>T|92+!8u-Wyh@Qa8xjfvUw!4{I}9HBK(u zwry0_QjF_i#t2>lQHJ4($Ww<14k1O+cqchm-*{8|{JC7SODP*&lipHF22Fr-+Ebc6 zy;s?PY1tm4}mSvueII_I5%N8Q)9bx+P5i0cG|-9Oaj#s{lc z_2f002XjTtzcSb_^#5+;mdO6v#LXmWsXlc3qrv{B@pREvg=cDA(tZMow7Sjax_25g zlg7wfwl3L=08H%rbmTvZ`}d~;l98NFqb<$+{jU~|TSeW8%WpAISK-Az*bMSmZqEZV zVuYz}oH$FRzcEm&6Q9-Le_=uMPr>B-+Uc`3S8}UGb!Cvh$}ZZ${sxNO+s6=FC5skC zfj9O5AO*A;ObB(x(Z?nS=&sjPc9Xm`C7jMGNADK2-Owh9;)iNfn}{NYHsU)nf?AUk zr}|H>+4&o|jJFuZ`yErZ-+hu{0XSlx7iMVAR;V&Z?ry5|zrzPjSt zEX~4#z28hq^f&5%WPBv(zu*iZ?MM$elmjm<_l)iJ<&k^0x<@hBY$dtND*Lk928vv* zz|w1uK3cA3wPKNO+DuiWlgtPmXYd7@X6AcU{ATFkBrgfjkWF2~PL zsZ|Tz$Rc@oaw+)ayWz&ZTBCHzQ*VF+H!t##Ma{iiPLhe}>!9@08mCiCYhXBLGbrFv z3?C)w3+67rBISMuEt4+mN(p>#r^48mQb<`koxQ&wt)XIBolhgCN5K&v{pqhNLf*q$ z5<6R&#q!cV2BO(oZO=lsTvp_61X7@-SW~QyDoSn7a1#*6PBTNK6AC*W!oso3ZIWFf zA=)QR1fKG1i#IZM1M{TgPG6n12U1J%Ba|(fNT$b{Vtx@nD#8ye+eYCJmIKJa)oX5c zQ~ZhwpTmbp$+C=%sPs5tBNTA<61S5U6Q#V#OP+|Pqy8VWxhJp0E*^T68h zl`4}(+zQV3cu{_JaQRZT)vQKEOljZMC_E5~)FAAS+C90M6uhY0psRHg6?msgaNOZf z$-H7djJ9~R-3fT;$;CJxc;4%C-bVz zfW|Kp**ST;ysf$Hr>P7>-?kH3z7Nh7c$U?@j1QeZ_p|}cn)4}c?+NAbk^Dk`c%IpF z=4O&==b*-|R;R5Z=!s5Iv#6WKKv}G@!AX7(;2-h7{GpOekKL}%hr0QjRhyP&&vy?z zJsa4YCC`3G_j4F=RD@d3nImZRgq7J~BYs#LsO7O4P~qzzf)T?01pW)N9?%QI0WU3Y zG>3mMIFh!gP@oGC-$X6RpNdB zo91X#Vg38#^}WJm=1gQvmFpVFtlq*0v=rNUs-^?g4ebLJG3kEMRH*bD*73JSy#dpF zvO@lKoq0h;UKDXtgCHX{B79T4o? zQ_;l|M3+Z)^h%|TXLq_qWv!h!nEu9UdHL;Z;Lcn=H%lR2fniZg;_S4>?z^J(c>^6J zj^kKMU7IEEajBIpq1fJMc{(!#&+@tn+B7)+Cc%{C03%5tEsP6tA68x|auw7982{MV zbjo(B>z`y{0;%%KVH;D8UB-0EPw8j6!&L z+1?c~e2c1umK1YG?Q#*$O1W35VIS8NSlPYQ>@uTev&D3c`T2oh>=Be-Nwf{bSLZ1j zT`sIFI#&lFhPvoxR=@22ebnbgQ&L)zf zL|x3yZg(ey(vK@=#vLCN50Y}OqWx;}aik*BVcp)DBz+)dj?OKV(EK0#fAY!4HK^P{ z$~byT>`pFlY)pq7G4vdJYZ)ilAp>>c-Oz}7{b};yk5IgrdFg%bJB+BOUa$7!e%5om z(6QM^r(t7OxPbYa^^pJSvz@9Bx;0)zB}7$V=h8O@OK1=r8~7~3rOw=ujOnb5#QOJG zkgV%PZQdD|>Kv5rkJkn}{4f#TXx2`_@*e)8eOy=9=sbO1p3U7@Yk?U(r#JI4n+zTZ zClEzg{+|CgCSTK9!||&$9fATTQjLe?LF6kvKeCsn`U8sIFI?BY`w2W}G5kV&Lll*0 z5|j|EmHMg6Ty+$TPP^Jfl-G&P{GS^HnNMPY|?Y0l#hp+G3@C z>QiTt{=(!+f-KAFwoJWrTyOArg~vIsjw<7;kjhzAozB9d;{h+$=XGc2&2*e4ljC53 zRl1iwX3qihbpbVf=_Cd{_?AA<)t`>Nd5WR2rLDOFZwz&4fVgk1VCuVZk?^~+aKaWy zHputW^d;(&D)EWwa8!VVw*Qf_{gf+rK)ma#s;$=Q&E9?il@-akvaTWnR?FiLGh-q7 zp{x(6U#CVDjwe_+0Zn?MVzji{e?c{BOj#?4cgKo-JhPBl{!IrK-F#jkVdnQPTpdhd{NJ#ze6$o zi!OPoMK?jA*5_J6NmA&z630Jt{w9|H!?irA%S-~fuH?UK9|;kPS}3-!a$jY1^6q!8 zxClHajQeqhpXXYZC1hus+cL;4*u!f>qh>;{cn*xCf=fOf{$6o}Ax+XHE$N=o(l^^I zmLf70q^Y;XR9X7gB_+-Nz`b_b&3Ja~Xej2d?H+-v4wi`kDgN|dnLpRI)Adrzwvf{a z_ItUp4nJPmg{-PU$ov4b2@nq<2JutfxseaFUBRej7|3N({waes3U5$6`B9{pn*|n3u4%beIIfs);%g}ZhGzy4PpG^Mv0TErZYvnqSAUjJlUg& zbJ}bYMTt!+f#-jy%0KU0d{<6)OyH{;<<#j{+agtXLezMli9Mw+Q*{q+s!}src4loR zt32Xf26&mwYXPnK4V2Q5lj^@pB^BrMkq zNTH5${uzjj-JxH+jjQGP4=fxN;C2lixTu8Ju+-+`EP6c1LVkNEu^H z7gDEFbFa*04`WPU|bCBymzf$#P%({yO#1@CqvAu88%)L zYkivRuZ}crri;3qRho$?xx3;xH^n;yEc?jMeg^AMyEx5NG_zx}k7n`-ufAS1_|CzJ z79D<*F~!!Ued+VWf}PoL<4q!$Tob3EQ+Sj;_MGQroXQZ(^h3UhBo$=b;i!JDw4Bk3 zM=^%X@4EX``1{ZpbWifRlwMaO4pXa?(O8r8@Mnd-fg6u`0dAfRi!RSUJ&8C(U!4-- zN#d5WgbY)uSt}rV6b-tGa|=;K^s}uw1Nh_Bjb5|*kKx<>=>{QD@Fj#`8@+raHCVPM z)dPYy`VGcvVV>dWJp-%y*lbEaL!iQO*Yd;@JehNG%e+l~%lsv>$eJh28n@OPd#Y^p zg+s~;wln3V{Br|_tkRo;qeQer6RRCOd&Mg<2rqL_%m>v(4yr$1yE&nMcrY;W9G|S1 zoJQ@&=());(xJ61;c$<5R2tWyCv=W=lH=othsj0II=X$F&7i&JXJHBWr!G1+BkRV! zMJB~Pk*D~*u6CJR(YxS#E5TJU@t|nElhl0=Ob!`1$>di?SwNOl55_4u?mr42%Vj27Z}V z%u*+w3`>tuO?D#BuMOSiHTX1n%P;#L4Ko(O1Ch~J6+TX*?&XG`hPV$6 zb(q9#{2bUkV$WP02Ld)~-rtOKXRnhd!h|ri=CO}k80|{)?!V;N7`0^BYbMcu$vCdj zz#0rRlkC++jh>|d7cmNhxg<0$=oyZzwiHbU+eGsUH70nB7e8T)62eM z2d!M-Tui=Vg$5utifMX zxV$fjCRaVbZaesb{JNr^IpD{ZOv!2m01b`H^dWW9 z_Yb)N`$~0Kz$R6bx$IF}w3SW9oT#rF%P$@=D%4;BrS?)josDC?lx4O`r+N1MET6@w zH>-@HAE#~1NZ?*z{TIoWMytu3tIMJ)eC}JkCL$LGnqXuAH|2w`IB#v{9UG`oMHHnvqItdoF`z_xY?)P!cQny*Y#B1Rc}o>RCbe@!Nhbzg87JyUb+K zqJD4Y8}hWTh-&jhrasYZM`H~?ulH$makB19iUV4+PR8u>Y%_IOa;QbgBD)J*8J9Zo z1>I(TMGdsn7)rrusE^UJka*zZSSz;XM-|W1a#gx^y{(7w;;>oCo66lhpOWdPfoQJ^ zNN!!mNaRHFRqxj^Il;+APj*%vSC0xpfOk98azi#RBT`~xKcw)}b+9o4xuBPy^p_~L zFqb3I-Z?xIJ@&PN|>j!Z`^a ztosM>SS7Vea9&Zm3a|uX?ni|VFM6Y76=B_e>*+$c^x1*(-F5AfS6XxyGsqtSJP)6{ zcGrK5yIi3TNsL?dPHe61&?Du-vHb@^+Tle4iu;~-tB*h_w=HR(*H)o0h0c9bNX$Tz z%icPxm-U5F?b_NqEX$Q(W@2T>BQ~ZZvj;F>Ku&{Or44=HOOb&CuWHnX>)$=}4APKM zd;rRdv>oiuaQ3tFXESq|@rtYEa=iw_yx_J4s|Z0m zj8?}p;Y!u^kNS7!g3i>z+`_y`-8~7>MnP1dI!2)9yB|7zcuipEm=JkVW#I)Fmf?|N zUW?Cf^?U|vk=~}v^t$H#SW0H;@q0E*EzK+$64n4oE4DwV@DLk4;VVF?EU$bQ=b(E4 zVumvKrb##kQooJ%xP@k#rIh0>AkK0wNKZxF`ds&j?N#FoaMShJ8Z~y2VQV~7T>Sym zjIDBeLE`})7S6Y}HX|j^mZqA4Q#LSv2(MRVTw{JXRb=@j(FTO`lye?KtTxHZ86GLg zGX-jjFsgyydClu5g-lIo#cS@(fW`m;)^y*p%8k@%=B+vcaP03$&zHqLdDRalV1DWzOf|1$cB^8 zgX$mN|IXhZ+Z5`EY%*@`xc`%;rvQQ`{7F&zir4X5YajV_|A2~B5?atVU^a9j6m*}@ zgFOYJzvCXDRXzIMALDSaUsnMWQZg8{*%E&h=hMEf4&Dyp45vB&U88jL)7HeFAeTn8 z&&KEw1H?(M_^~f7XxPGxQ(g}|R-FS3r2#*hDtmmDN6tZ)Qp#58D{EG5NbA+d3ofUE zF5vt>D}Q?uTDRVVZ6UwFmG&lX`Aq1ur$7K3VYYsd}TB(&Hy0+DjIb$rLX$V{N=he7)=~wf@T;KjQ&E`GrhnnDx?ih7TzQB~$`;lp+eyriDMx(tSh~aCv=lpn~oS>g1+i13eD1CnTsp{&uqGaNzeA)O96}EurrF<)Q5V0tTiV{Rcfeo zCW52Qzjv&(j8L~Mc=$y8NV3nTN&Hanp+PS;Pbk)PLcfDslaU{2`KQYy=jrmR$fB%n zl#}v~jLbfPek7t#ztuH(zjI`O$5CX?FzNC8V6JN8559$V$i~f$0NlpAuw9c(7@6e( zE~j8j86E0fN5uuxGERhE4`Hlo7e}d8OZ-;4_>z)VI_jM87d*IS#tQyfPO4g4C67=e z*Fyqb7J@&9A45=j3>~>HiwW_4eo~s!Q>K}byGyynU{&qjVY*8|YgSqG%~7*W!RPdV z+_lwLnm!M_4E9-ix;JW=^K%=MIyW=>AXk!o$CZ08ldw||8TzWr6^Q#-GnKd?J(QorwS-o{5f7@AYP>1KDUE!U4l z-<=|vMi`{I-+6zc!m$7mxCkHt1R*-6rk^Hxf?XDeYPJFt44n zKjECAKF}+(YX98Svy0E9cmwdVL;%jq!BE&S?r!;{N79EYFnm?af~(c+Py!kx{p%N* z5e`m5<_WYQTA3qXe|kMg0k7t$qRD7w(QiyLq<7qj6g0|P5zgI zea2_v6`oex7epp_Zo`e1TM5UQg8{7Z(@b7o|$KT4ri}={aT%{B4=yZpCVNhXv*W z{@{GaG8I*KOIrWShXi_Gfiq~Sn=A`rlfo5xahg|^FRs(#8p=3TQBb}KHK_daUEiWi z?EMryfGyTZ`Q7SR@y94THcFRT!TTz7XN`2mwuiR+n&|4CO8!{bg~76$+z;WK+cdN4 z6TX_|IegjsrN$GLB(u;)G^hdTo!Yp#aFMAqS;Su}3)#K25U}baVJr-}oVV+i{}+bz zo~Of>c{C+3r_l^q0NOuK6sa^-3dl*`tGfaK$73^H%S9Vh<6-VGL4XEOUGNPKbp(a;m{>ocl-xO_C^pz)DlJ_S5^|$P;D2vosFe58#{cb2QoB_cmH!5lbLk_`91= zf8K!yAt93Pn_T4N2sn!W)%!L*c~Ox4;w7vXdhDR-ryxSc65r7anN|<$B*zZLAaf_$ zmialqBb4JP{5L;*bNN+w`}AySa1rT&IjfMZ{^Y*y)YU7~nl`7W*?O!m0M}q(hADa8 zaRCNx+o$be^?hHNQ$J(jblMA1mJnwAu2C*`;}0&|`UNGMjrk@ghojx8`JE8qxKRD( zH%^zUKu4%giew3{7{*Uqv5+nzp!2fa9P}B(;k$PrzStIc zuHCTU{D#Hqi~L?0OX^GE-RTW6Y8vY|QFuPv+%*Zx35kV zoUAMWyONt}vVv#f9`a4OVpl1;)sUB8db1?5;gebnde}8pA+{3Z=DlBHO-QK!GfkKIYPmCbG=lI-3 zUeS83yYfxd0y+kjJ9wtq^x>{8N<+&P8SlK+ltzZ1x*+ix&YE^FO=ExtWeaD{t=#+B zKfMs1Jtks3M77m^jYI0?FZJl9CDy&okO*5(_g_hL&ZEfHhY+|G(LP1yljxOL2OFZh zIk|CNZfpA*B34|{2bgtm5a*S#r)U=mx0!3oZV~yFZU&c$w4O5l{EN-AG0%=@Q}0YU z*P8HnxkcVX=p0LTZr4`Ro*QYP6Imsp@XBh@yT=t6_YVVDeiW@}gJ&JXgCWdx5>?D3$2507MfYdxQw`EQ7bfv#CJam|RD}RR&Up0m# zeAvL_qdC)*7mMwpiD#o~xHPWeYUN_svn&F)hxY8_uLyq19eTRiG9yLya>wx_Fa#14 zd(kWxPF#t~$q_D_ZhN`<5mDU(&72<#h7By|Cg<>5%I+ru`{~)aGtuPOvqC;9aA*8T zf#cd;q_|_;R(D6}*hJqKZ^c%E`!u5COjiMW)h^UzFAB*qCi4|6LIy=FjP2QlbkIttP{GTxt)qK`{%~F)FZaT^vKXKGHT2ZZ z#>?w3T$Mv6mRJ_gvvElZIm<5PdD4(Pj~Ztm6IsHjb`wyPC~8HVO>L5QFZySZ-4!f&oPE#8vIHA zedSCvLOjrZ!hY=t@B%zWlDDs_T~+n2y7rwvAS&7pv{nb*i~XDqHlBgeZwx9KzD&vP z{y_Ta!n>De@D&g^?5Ao%SVj(>|? z3YB4y>ljO~T{*0ej?yCFBcEQ^e8ixtIX6<1>42YBEqzmTz*GUgC?G8AIpttwZyf`jI3t+opX&PGorF1juX5Q zUG}UJ)Pq^ z20P2T+iBou=PaY@X@1BL{P@uO7|5?)9GFvbc8kqVz-hVfHP%DYx6?kS{dA zMv@jY>_aW$c=Mr$#m?>Z(5)774|oNEw9M7>EJK|%!KY9;Y{!}ASMS3%4q1O}H7o&a zj1t$8NI#S7z35i_;0}~QbhwS>Y6%UhZdZJ!abglPy}$^*o2IcTP1Y~u>{JUMq(?#E z<;IBZq=q;P^Od!_H8fa6D53=FmTr=m6xkt!Zs|+R7PglP9`-B}>hwVi&kPgX-1RJ< zk0ofp)97@*B|iR^I@L#?Wf6i|=&uK3*t$FYb!zkLh^c;S%kx_Zua_H%ShuubjT~c? zF>i?`{3{$eOkCVutrdG75$D`<4V6(g4Vo__QseR45ic+{&7S?ThB^-L!H7!F!U}Rc znc0Vp9SgJI^K4fI&Di#)BgI~dmnGlymPbSli!;~fW$)o)#F41!{$GX zAHy?Epf+vm%&nIv*AXV7kTyz1!iDCU%Ufc-c-L4Wa_zRtnkHBtB&(HHG?u0Td6^rp zuUTwszO?%@`az-TP>j)*cBK*$A)YhCf<`#+m2J-=jl?k#gFJ#0(`Lk#ka_(}@0$~1 z`Db!t3etl1#{5ya#vIN?8ee(a+qaA=%e`fDVIy1vP4Bl1;xafe#>8##E!apJ46)MQ zIwpZivFcnHF4*(5Z&^1-C2ZzTt9E}Fg3IiVL8kH3HmDT5N=d6+XA#z|2xbVsCREOv zUGFxWT7<3cEKeEw+Sjd9)w%nqq`$iS&m8>MrRi$&C{Lmh9`9Q8r3n~|<0EIyOH9<= zLLt4Y7Kvmh{x&*`vc^S8gWyw>MgihqE40OdKRfY{JuR^xws9B^6u^hrbwbrHeVzgk|$)!LEg z0$%!-0%J_26#W0~`$xw@wE=E0e^uVKf07FSUWJ5g61e&A; zuj@K2(vOn8e~9Vz|7BMkqVKvWZx{aOX8yV$4q>1zVt3aOoU*Y^S z%pKmce}(hk<#M3j{|e_{;r!)k4$-gum;d^le;x8M%KUfWW&aghMf+bOEJ^6s0Nxf>aZVNbkLOP-%jIK<}qGX*(y03b3U zd?0dSg2!;e`Un7Md7sHiYkK@#Ppfe%Q>JSj?egXlUOQ>-K4LhW}e}# zigXAZPt0EjH532V;4uO1y$YT`cj1_a?JcVX$_>;%{24e#YB>IEH=Lj!3GJ?<}Bvi#u?|c z^;rq%4XFjw1c!GYiaL@9^FIU^oaC=>?)bH+o$~H~jscbbI5$(7??(FFn%mpZC}lzg zqzq6_u_IeK3=8BBI(H2Z)4XVmx$Dz?2mWgFrgFs6Juho8KgcBp2G|DlxZ&ecE09`O_b)Ht;NVxl1;(x zTU|dybMOR7UPs?<_>w%lPh74;=M%7SnDo@#geGFvEbDNiI&FYZqU0?e7jGrqDeb%S z1&ijc$`&ZRzV-=!$Zc^WOd>rd`}ZUFw8ZPK>y3>5WYeA|Xkih+TuvmwsP5ZF&cep> z%(lM`M&9>hKZCQ-X@HjD37f&dJR>7hh<0SQ=i+Uw2h*|3Q05%mTwxygp^VJ+`;0#S9I< zqQw8h%ZG;J6oRWGw55>ewIbg)F|;BgJTW{X6&xu)1rtuTPHar=-S^O9!+N1D`ei3! zSERpis5a!SmIdeRg-a>#{zePqMXHf{N-VV=NlynHVw==@!O~ve@3-ou&kp8j8JxK2 ziZWWCEmQdGINb+x@IK(L)ZZJSo-tN}yZjuTs!AN|NZ&~6toj<9n%;1+NM5(TfrtH0 z17z;>_6{*_^(wvefRPEA>E8NhW~KnIvwgOtM`zgMA$K$XN-`#V8X~AK$#~O#IjO=y z;+F|!kNhx&xtPPQRq=MENW2(kY4e1#E4O#v!Wjy2ZyGt@*q@(#iM;0NKC|jRpFXm| zoDv%wRd>#?EUq}dxu&s(Smv#y81J&gG#bKA(xiuB7H%ev z_@w=uU-}NENMJt8NE4XN_pC`Z$DJOFJ=` zdC-`fO$fgffx1@Z1jD2-ogXa`Wjul*ya*E{cZ`3_%Ke$0#RYy=zchy;@IBULu8hLF zHfbQlYO3El)%K_X>&JVqve_OknV9T^-%TlsZiq9tnjFmO4uVZS@N5-l`Wi;Y6gegFGh&t;yQuThYtAKO1M4c@l4kDu~XTK-&{pPvXq1zyq}WH01iM-g?1+9IxHk<+t&gNEf44*&Dj`O}(dPI#ZEB2N-F-2Ne$Xq`E_t&X^ z9DQNQklRDkydk;{NPwtF!9Zw>-+C?W^XVoUe-bL9Ro?C^k4jfaylKE9-VJ8bYlq|Z zQ1GRT#f52uVGH(bl?-I;Xs{wtfH~1#5{#mkn9-0>l>?PcHSAMhW6ObUqi6AGIrl*G zc(b}rGGfb@W@&mVik}VbPq^l`^GD$w@k3LH%#y4v94>wlk;whEJFRS>iIgRWJ=D5> z{-K-Cp#*!vXn$XgMlNTtwn7%C5`}>y*MtLV+#KL0f){X*{+KwDZu=Q7Nc&yPQ-RF=EOi4267F zTY`7T+bQvBYa{PVzb_pBLGOi5w}Sbtomh30?vb5Lyy^Xzls&eE>^KcQlaTrxTk-;` zb>u~By7Q}o*PrWX6N%92gu@mdlz!4IqKJ4XrPa`?@%jnp!~u`@?qawU-41d4?B@%)IwuQdqhaJMYg*BJ**HtD&yL@I( z8of12^9qEFGIhT>?aaS3T($`g-`qBIe_9x1*HEa9T+uL4z0DcyZ*F?8*)Tr3ME)?$ zUdf7aH50*-{B<#AGEXv$F}2$L55Bf0a(%p3>Vby);6VTNT5p#V_-A<<9Y(*Pb^5)+ zJw@mEiBBW?bhY_;q4u3w$v#R2A;m6TIfB|&9$W#+r-{YMo%W0jOUV_H=wru|WAYY- z;ag{Wg1&){+{5|Kw1F*9_ob2`nZ>8F_kXNLAQ+RTyir^W_ubkm6bp?R4xglBt(N1= zG`OF*$}t)%V4`)hIBu07UW@X6vEcF{sY*|6Aszd{_(LEl<cZ5hGbd=c}^=9iC{Y%Yc$g&3g;H$YSL>=Qj`>qx#eBje+I^HbcWy7)r(yXT; zaDtiEL)aF&k*xG)@!`yKi6tw_1mi0b1|$jP>V>{y7I$8?R9~5JituHa+4p(v|GmU5 z&)XxT>?&-{g~zY~1T~#qv5nFhI=S8rpjOLan#zb4J-84FatO{NTuvuds4k>qK?HOU zwDJ7P@QW$GN8?$PWU(?#4XnP0DO8j;-f(^H2q(583V_8KN?u*$xD)15sN$6*jlc}YADsDjJo^9 z*+z|U0Yme3?Cva)LyM}qTin1mOBm>X>ZfW%L`FTjopLs+Kp!(48 zRrf(>P{ZZ)&7EX1DR;|k^<1O=8Hb^i1NYKxQ0t^j$A>TKJla+d8W?cMDk$L25`2Te zY2Xy~F1(L?=k{!suS(sBp^`hBH+v=5((ps^9TXlM?(y7&#Joa=3)teF&8{JO65x!I zrN&zyv|$D4nxG4;3Dpf!H=If$^RxP+P0S=GT+f@6diH(lodAG&Ig6pt0q5}pDdcEK zz{>tsdMlznwPbSHMpXk3>Dr?XFQ4~VUUEgk+(LAk1g3e4I=x^?N@r9;mom{pvA24P zDWj#-wAm`7B_3;AwJ3JKgN_`fWb+cP+05Q%MGwddrHrB?H)lDpDzs6PT@s=~lo_5{ z+0*DTAynoa+j!U$(N9eXhK|&A>Kllo{gq=$`?QkVPLL}krwa&*y`SHLKK;HZOXC|t zhh4%Thm_xF)VL(W**;Z~0_3vGB;Gr5r6b71-9J_ZQ3E(HNKuA@2fwG;ld1~J1gZnGaKM*cyAcfl zqD8PzrZ2I_nJ=%F7F^(7QAWZ1AFtHNR_&r?Zax)?L}W%H2pn9h$WXyG{T4}S4AEpY z3>Kw&>L-&+04eCZ8+;;+T2Xf}4L7%Z5*nxjeh(#W9(UF^bqq!#WvVQ z8N^6$Ub*+>RAswZW8`AYb?su4r^Wtflc}uJh^d2z=&z8_q=5Ox(xKT7E|_7iU$&V$ zV#ymX$E`ImqK87aw2d+&vc8$+2Ggcu1@tN%WtA61X1)*MB$}WjyM>!ImSADf#NKp> zzj=?as(vyvbmk5tm-H6@gbj9uF@5lqF`K8)7Cr>^Ak-QQXc=e=%=kDikQL zdz9^BwBTT(+H9l6sfbE9NK;X9S@(Da&;CQqnvjqjj}`y*Rh5>0Cn@StEh8%ILCQnh zpA(G!8Cf^9tb$lrVpN`d`<~;%QI0~k=G&=+PoJMIPgOfRYG_-@@DdvC#Fa|tp^-{>ybkcZEaxb#`Hq~R9_jcSy3dq^rOm_HqccSF66 z&kk{RB;4SfS1fBXWr7auYPHxqnQg=S62k25tImp&*iy$UzG&j{E8Uzg62#;D-t9%t zhYDg}w7I38D51Q!++m)RU0-p08iL^XxQbJiCpX1(ddxmJ^4Ya2Qh`kodY(=4@Q&Gs zp4ySMHs4R^9h>xU%xDRwMPWUeTd=#b3h6QNA;@_$-0!8xNKyx^F96L zDBb&2`MT&U^fBfVw33UX_s8-fRyJ%}O&tr#zh!cFqr=p`ve6$`HdP17A`}b z_#-JAG27e_-Q8t;5-M;iyo5O7qiLLwfFF`;AMWxM?TBX5{w zwJh#t}iR8D3nff_>&Vr zM&v!L-N1W z`ricp9}50&A^(qnKUIAy;#{DCst>y_K&&mp`}&%)4%NH=qYC~O`t`!w{)88^^Yc$v WWt=lV$9fYC;F-LNT#3x\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", - " \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", - "
City NameTypePackageVarietySub VarietyGradeDateLow PriceHigh PriceMostly Low...Unit of SaleQualityConditionAppearanceStorageCropRepackTrans ModeUnnamed: 24Unnamed: 25
0BALTIMORENaN24 inch binsNaNNaNNaN4/29/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
1BALTIMORENaN24 inch binsNaNNaNNaN5/6/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
2BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
3BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
4BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN11/5/1690.0100.090.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
\n", - "

5 rows × 26 columns

\n", - "" - ], "text/plain": [ " City Name Type Package Variety Sub Variety Grade Date \\\n", "0 BALTIMORE NaN 24 inch bins NaN NaN NaN 4/29/17 \n", @@ -207,11 +40,11 @@ "4 NaN NaN NaN N NaN NaN NaN \n", "\n", "[5 rows x 26 columns]" - ] + ], + "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 \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
City NameTypePackageVarietySub VarietyGradeDateLow PriceHigh PriceMostly Low...Unit of SaleQualityConditionAppearanceStorageCropRepackTrans ModeUnnamed: 24Unnamed: 25
0BALTIMORENaN24 inch binsNaNNaNNaN4/29/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
1BALTIMORENaN24 inch binsNaNNaNNaN5/6/17270.0280.0270.0...NaNNaNNaNNaNNaNNaNENaNNaNNaN
2BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
3BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN9/24/16160.0160.0160.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
4BALTIMORENaN24 inch binsHOWDEN TYPENaNNaN11/5/1690.0100.090.0...NaNNaNNaNNaNNaNNaNNNaNNaNNaN
\n

5 rows × 26 columns

\n
" }, - "execution_count": 1, "metadata": {}, - "output_type": "execute_result" + "execution_count": 1 } ], "source": [ @@ -254,6 +87,7 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { "text/plain": [ "" ] }, - "execution_count": 3, "metadata": {}, - "output_type": "execute_result" + "execution_count": 3 } ], "source": [ @@ -294,26 +127,25 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 4, "metadata": {}, - "output_type": "execute_result" + "execution_count": 4 }, { + "output_type": "display_data", "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] + "text/plain": "
", + "image/svg+xml": "\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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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", + "image/png": "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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -329,36 +161,32 @@ "metadata": {}, "outputs": [ { - "name": "stderr", "output_type": "stream", + "name": "stderr", "text": [ - "/opt/conda/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 80.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", - " warnings.warn(msg, UserWarning)\n", - "/opt/conda/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 37.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n", - " warnings.warn(msg, UserWarning)\n" + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 80.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/categorical.py:1296: UserWarning: 37.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n" ] }, { + "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 5, "metadata": {}, - "output_type": "execute_result" + "execution_count": 5 }, { + "output_type": "display_data", "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAEGCAYAAABvtY4XAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAAh9ElEQVR4nO3deXxV9ZnH8c+TBRJ2gbApkCAqIghIRJDFrXZUqtXaqti6lUI3HZ2+Oh3ambZOp9PaZabLFFtxq1utSzcrVNG6gSySyBLKDgkSCBAIhOzbfeaPG7InBJJLck++79crL+597jnP+eVy8s25v3tyrrk7IiISPDEdPQAREYkMBbyISEAp4EVEAkoBLyISUAp4EZGAiuvoAdQ1cOBAT05O7uhhiIhEjfT09EPuntTUY50q4JOTk0lLS+voYYiIRA0z293cY5qiEREJKAW8iEhAKeBFRAJKAS8iElAKeBGRgIpowJtZPzN72cy2mNlmM5sWqW0lL1hM8oLFXP3jxQDk5JeQvjuPiqpQzTKFZZV8kJlHfklFTa0q5Hz40RGyjxTX67d1fwGb9h2rV1PP6Ot5fL/4+gvLCIziPNi9AsqLamuV5fDRKijYX3/Zfesgd1v9Wl4mZKdDqPZ5V8829OzELJJXkzSzp4Bl7v6YmXUDerj70eaWT01N9VM5TTJ5weJGtRiDkMOZ/RL53bxL2JNXwpeeTaewrJLE+Fh+OWcS487sw+2PribzUBFm8JXLz+ZfPnYuX3o2nTc3HwRgxuiBPH53Ko8ty+R/lm5VzyjqufdoSaP9Iuuh2Se9f3UqGS/DX74KlaWQ0A9ufyH87zM3QkEOxMTBx/8bJn0Onr0Z9qwKr3fBp+Dmx+H1b8Lq34Rrg8bCna9A5rvqeao9Yzp+EsTM0t09tanHInYevJn1AWYBdwO4ezlQ3t7baSrcIRzuAHuPlvDLv+8gY+9RCssqASipqOLBV/7BVecPIvNQ+Le2Ozz8zk4G906oCQ6A5TsO8dyq3fzsjW1dsuezUdwzcEJV8Ld/C4cRQOlRWPpt6DUoHEYAoUp487tQUVIbRgD/+CMkz6gNOICDm2DlQlj7TMf1rGxtz1/B2mc7V89Jn4PRV9GZRfIPnUYBucCTZjYBSAfud/eiuguZ2XxgPsCIESMiMpCc/BJyjpbWqx04VsreI/VDwB125BY2Wn9nbhGVofqvdKK9576jreuZGcU9A6eiBIoP16/lZ0Ooon6tshTydjZeP3dr49rR3R3b83Arex7phD3zsxvXOplIvr6IAy4Cfu3uk4AiYEHDhdx9kbununtqUlKTf23bota85L5+wjA+MWFYvdrsC4dyw8T6tbPOSOTuacl0j6t9WuJjjTunjmT0oF6B6nn9hMY977q0cc87pkVvz8Dp3gvOvaZ+bfzNMO7T9WvDJkHqPWCxtbVuvWHqV6DnoPrLXnhrdPSccFvn69lw3U4oYnPwZjYEWOXuydX3ZwIL3L3ZRG6vOfhV37yKhW/vYM+RYq4bP5RbUodTVlnFond38UFWHpOG9+PLl48msVssf1m3lz+v3cuQvgl85fLRDO/fg7UfHeHx5ZmE3LlrWjKXjBrA/vxS9Yyynt94eUO9/SLq598BSo/B8v+FnPWQchlMuxdiYiHtCdi6BAaMhplfh15JsPNtWPMYxCfCpffB0AlwaAe8/zMoOgQTPwtjb1DPtvTsBFqag4/0m6zLgC+4+1YzexDo6e7/2tzypxrwIiJdVYe8yVrtPuC56jNodgH3RHh7IiJSLaIB7+7rgCZ/s4iISGR1/EmcIiISEQp4EZGAUsCLiASUAl5EJKAU8CIiAaWAFxEJKAW8iEhAKeBFRAJKAS8iElAKeBGRgFLAi4gElAJeRCSgFPAiIgGlgBcRCSgFvIhIQCngRUQCSgEvIhJQCngRkYBSwIuIBJQCXkQkoBTwIiIBpYAXEQkoBbyISEAp4EVEAiqiAW9mWWaWYWbrzCwtkttKXrC45gtgZ24h72w9SEl5Vc0yhwvLeGvLAQ4eK62plVZU8d62XLYdKKipuTvpu/P4IDOPUMhr6uoZfT0b7hcd4refggf7hr8Aygpg+xtweGftMqEqyFwG2en1192fATvfhsry2lr+Xtj2OhTn1dbUM/p6/mxS/f0iAszdT7zUqTY3ywJS3f1Qa5ZPTU31tLST/z3Q0g/vwF7d+P38qWQdKuYrv/uQ8soQ8bHG/9wykYln9ePWRSvJyQ+Hyd2XJvOt687nzidWs2pX+D9m4vB+PD9vKv/31nYefmenekZRz0OFdX7gqmU9NLt1O1V7aeqHN/EMKDkCGFz5HzBlHjw5Gw5khB8/5+Mw5/fwyn2w7rlw7YxkuOdvsONN+OsD4FUQ3wPmPB/u9/Qn1TOaetJE7j6Y3/K+1AwzS3f31KYeizuljp3IiY7MDhWW86u3drBhbz7llSEAKqqcHyzezJXnD6oJDoDfrsjirP6JNcEBsG7PUZ5emcVv3t0Z+J7DA9az0yo5Un3D4d0fgXttcABsXwofLKoNDoAjWbByYbjm1a94KorhzQeh15Au0PNXsO53wenZlEevg3lLmn7sFEU64B1YamYOPOLuixouYGbzgfkAI0aMiMggDhWWc6igrF4tr6ic3DrTAMdl55U0qu09WkKowf9JtPdsWAtiz6hQVQ7H9jauH/2oca1gP5Q2OMorzAWL7QI9DwSrZ1Ny0k+8zEmK9Jus0939IuBa4KtmNqvhAu6+yN1T3T01KSnppDfQmpfcN08+k5snn1WvdtOkM/l06vB6tVEDezJ3Rgo9u9X+Z3SPi+HuS5MZO7RPoHo2rI0a2JPPB6xnVBgxDS6eCzHxtbWEfjDtXuhT93s3mPQ5OP+G+utPnAMTbgtYz/uC37Mp3zlw4mVOUkTn4OttyOxBoNDdf9rcMu01B5/+Hx/jseWZ7MkrZvb4oVw7fiiVVSGeWbWbNVl5TBzej7svTaFbXAx/33yAP6/bx5A+3Zk3cxSD+iSwZf8xnlqRRVXIuWNqMuPP6svhwjL1jLKeX37uw3r7xWmffz+u7jx89zNg9k9g62IYMDockIn9YM8HkPYkxCfAJV+GpHPh6B5Y9TAU5cLE2+HsK6GiJFzLWQ8pl8HkeyAmBja8pJ7R1vNHI2v3i4EXwr3LTmn3amkOPmIBb2Y9gRh3L6i+/QbwPXd/rbl1TjXgRUS6qo56k3Uw8CczO76d37UU7iIi0r4iFvDuvguYEKn+IiLSMv0lq4hIQCngRUQCSgEvIhJQCngRkYBSwIuIBJQCXkQkoBTwIiIBpYAXEQkoBbyISEAp4EVEAkoBLyISUAp4EZGAUsCLiASUAl5EJKAU8CIiAaWAFxEJKAW8iEhAKeBFRAJKAS8iElAKeBGRgFLAi4gElAJeRCSgFPAiIgGlgBcRCaiIB7yZxZrZWjN7NZLbSV6wmOQFixn3ncUArN9zlFc37CO/uKJmmewjxfxl3V52Hy6qqRWUVrAkI4f03UdqapVVId7ZepC3thygoipUU1fP6Ot5fL+Y8YOlSLXdK2DTK1Be+xyTuw0yXoZj+2prRYdh4x8gZ0NtrbIMtiyBnW9DKBR9PbuYuNOwjfuBzUCfSG0gecHimtuF5fXv906I44X509iZW8gDL6yjKuSYwY9uvpCLRpzBLY+sJK+oHIBPTz6L7984jlsfWcn67HwAxgzpzctfvpSfvLaFp1buVs8o6llQWlmzH2QfqyB5wWKyHpp9intZQLxwB2x+JXy71xCYuxS2vQZ/+0a4FhMPtz4LPQbAMzdCeWG4PuNrcOl98PjVcHhHuDZyOtz5Crx8T3T0jD0dcde5RPQ7NrOzgNnAfwNfi8Q2zvvW4hYfLyit5OF3dpCxN5+qkAPgDj9+bStXjRlUExwAL6dnM3pQz5rgANiyv4Dfrsji6VW7g98zqYme72dGbU9pIDu9NjQBCvfDqoWw7ve1tVAFvP39cKgeD02AFb+EmLja0ATY/T6seriNPeOb6Lmwcc+VC2F9G3pufx3GdL1f7pGeovk58A2g2ddIZjbfzNLMLC03N/ekN1DWildf+SUV5JdU1KsVlFZwtLi80bK5x8oa1Q4VlOEerJ75JU30LGxcO1RYHrU9pYHSo41rJUfrByRAaX74q65QJRTnNV6/8GDbepYcbrx+URM5UNrGng2X6yIiFvBm9gngoLunt7Scuy9y91R3T01KSjrp7bTmJfecKSOYM2VEvdptFw/ntktGYFZbGzOkN/NmjaJvYnxNrWe3WObOSGHSiH6B6nnrlCZ6zkgJVE9pIGUW9B9Ve99iYfLdcOEt9Ze76C6YfFf92qgrYMo8iEuorfUcBNPvb1vPi5voeek/t3/P866lKzKP0GGPmf0QuAOoBBIIz8H/0d0/19w6qampnpaWdtLbuuanb7HlUEnN/Q0PfpxnVu4m+0gx144byqxzk3B3Xk7PZk1WHhOHn8GtFw8nNsZYufMwr6zfx5A+Cdx16Uj69ehG1qEinlu9m6oQ3H7JcEYP6s2x0gr1jLKe9z+/hiMltft3l59/ByjMhTWPho+SJ8yB4VOgqgLSfws56yDlcrjwM+Flt74GWxfDgNFw8RegW0/YvxE+fBriE8K1fiOip2dAmVm6u6c2+VikAr7BAC4Hvu7un2hpuVMNeBGRrqqlgNd58CIiAXVazhty93eAd07HtkREJExH8CIiAaWAFxEJKAW8iEhAKeBFRAJKAS8iElAKeBGRgGpVwJvZDDO7p/p2kpmlRHZYIiLSVicMeDP7LvBvwDerS/HAs5EclIiItF1rjuBvAm4AigDcfR/QO5KDEhGRtmtNwJd7+II1DmBmPSM7JBERaQ+tCfgXzewRoJ+ZzQPeBB6L7LBERKStTngtGnf/qZldDRwDzgO+4+5vRHxkIiLSJicMeDP7NvDbuqFuZvPdfVFERyYiIm3Smima+4DXzeyKOrUvRWg8IiLSTloT8HuBa4CHzOxfq2vWwvIiItIJtOoPndz9I+AyYKyZvQQkRnRUIiLSZq0J+DQAdy9193sIf3BHt0gOSkRE2u6EAe/u8xrcX+juo5pbXkREOodmz6Ixsxfd/RYzy6D6j5zqcvcLIzoyERFpk5ZOk7y/+t9PnI6BiIhI+2p2isbdc6r/3e3uu4FC4CJgYPV9ERHpxJoNeDN71czGVd8eCmwEPg88Y2YPnJ7hiYjIqWrpTdYUd99Yffse4A13vx64hHDQi4hIJ9ZSwFfUuX0VsATA3QuAUCQHJSIibdfSm6x7zOw+IJvw3PtrAGaWSPhDP1pkZgnAe0D36u287O7fbfOIm5G8YHHN7cwfXseKnYfZk1fMFWMGMbhPAgDbDhSwJiuPicP7ccGwvgDkFpTx9paDDO6bwMzRA4mJMUorqnhz8wGqQs7VYwfTo1sc7q6eUdbzD+vW8uMleTX7RdZDs9t7t+t6ygpgyxKIT4Rzr4G4bhCqgh1vQtEhOO9a6NE/vOzedMhZD8mzYODocO3oHtj5dxgwGpJntE9PaZaFL/XexANmg4DvAUOBhe6+tLp+BTDZ3X/aYmMzA3q6e6GZxQPLgfvdfVVz66SmpnpaWtpJfxN1w72hxPhYnp8/le0HCvjGHzZw/Nv9zxsuYEpKf275zUoKyioBuG78EH76mQnctHAFWw8UhHsP6MFf7p3Bf726iZfTs9UzinqWVFQ12h8U8m1QeBAevRLy94TvD5sEn18Kz98WDm2AxP7whTdh01/g7/8ZrlkMfPoJ6DEQnr0ZqsrC9SlfhFlfb1vPC246Pd97J2Zm6e6e2tRjzR7Bu/tBmriomLu/Dbx9oo1Wf0hIYfXd+Oqvpn+btEFL4Q5QUlHFI+/uZEN2PnV/l/38zW1cOWZwTXAALMnYz/lD+tQEB0DW4WKefD+zJji6XM/l0dtT2tmHT9cGMcC+tbDil7VBDFCSBysXwoYXamsegnd/DL0G14Y7wJrHoFvPtvVUwLeoVdeiOVVmFmtm64CDhN+kXd3EMvPNLM3M0nJzcyMyjpKKKkob/MCXVoQoKa9stGxhWUXjWmnj5aK+Z0XjZesGae12orentLPK0sa1soLGtYpiqCxrotZgfa+CiqJW9ixquqe0KKIB7+5V7j4ROAuYcvy0ywbLLHL3VHdPTUpKOultnOgltxncMXUkd05Lrle/c9pIPjdtJLExtRfGnDC8H/NmjmJgr+41tb6J8cydmcK0UQOC1XNq457zZ6YEpqdEwIQ50K3OxzH3OQum3w+DxtbWYrvBxV+Ai+6ov+6U+eF6XeddF56maVXPeU33lBY1Owff7hsy+y5Q1NLc/anOwU/93mL21/llvvl71/BS+h725BVzzbihTB55BgCvbczhg8wjTBzRj+svHIqZsSH7KK9uyGFwnwRuvXg4vbrHsT+/lBfW7KHKnc9MPovh/XtQUl6lnlHW87Zfr6h3Kpjm39vB4Z2w7ncQnwAX3QW9BkHJUVj7DBTlwvhbYMi48JukGS+F3xBNuQzOuya8ftZy2Po3GHA2TPwsxHVve88urqU5+BMGvJmlEP7Qj2TqzNm7+w0nWC8JqHD3o9Vn3iwFfuTurza3zqkGvIhIV3VKb7LW8WfgceCvnNz570OBp8wslvBU0IsthbuIiLSv1gR8qbv/8mQbu/sGYNLJD0lERNpDawL+F9Xz50uBmrex3f3DiI1KRETarDUBPx64A7iS2ikar74vIiKdVGsC/iZglLuXR3owIiLSflpzHvx6oF+ExyEiIu2sNUfwg4EtZraG+nPwLZ4mKSIiHas1AR+xK0CKiEjknDDg3f1dMxsJnOPub5pZDyA28kMTEZG2OOEcvJnNA14GHqkunUn4j59ERKQTa82brF8FpgPHANx9OzAokoMSEZG2a03Al9U9RdLM4ojAdd1FRKR9tSbg3zWzbwGJZnY18BLh69KIiEgn1pqAXwDkAhnAF4El7v7vER2ViIi0WWtOk7zP3X8BPHq8YGb3V9dERKSTas0R/F1N1O5u53GIiEg7a/YI3szmALcDKWb2Sp2HegOHIz0wERFpm5amaFYAOcBA4H/q1AuADZEclIiItF2zAe/uu4HdwLTTNxwREWkvLU3RFND0+e4GuLv3idioRESkzVo6gu99OgciIiLtqzVn0YiISBRSwIuIBJQCXkQkoBTwIiIBpYAXEQmo1lyL5pSY2XDgaWAIEAIWRer6Nd95cTFPf1h7f+cPruONTQfIPlLMx84fTPLAngCs/egIH2TmMWnEGUxJ6Q/Anrxilm46wJA+CXz8gsHEx8ZQUFrB4g05hBxmjx9K3x7xVIVcPaOs571PvMPGvNr9Iuuh2e274wXJrnchZz2kzIJhE8O13G2w/XUYcA6c83GIiYGiw7DpTxCXCBfcCN16QmUZbP4rFB2CsTdAn2Gds2cXZO6RubS7mQ0Fhrr7h2bWG0gHbnT3Tc2tk5qa6mlpaSe9reQFi5t9rFtcDM/OvYSt+4/x7b/8o6a+4NoxXHr2AG59ZBUlFVUAXH5eEv83ZxLX/99ysg4XAzCsbwKv/vNMvv3njSzOyFHPKOpZXhlqtD8o5Jvw1vfhvZ9U3zG48dfQMwmevxVCleHypM/BFf8Oj1wGRQfDtaTzYd5b8OzN8NGKcK17H5i7FDb+oXP1nP82xCdG4MnreGaW7u6pTT0WsSN4d88hfKkD3L3AzDYT/ri/ZgP+VLQU7gDllSEeXbaLjOz8evWH397BlpxjNcEB8M7WXB59b1dNcADsyy/l8eW7aoKj6/XMjNqe0gqVZbDiV3UKDsv/F3oNrg1NgLXPQUL/2tAEyN0M7/+8NogByo7Bql/Dhhdb1zPxNPXcugTG3dyqpyRITsscvJklA5OA1U08Nt/M0swsLTc3NyLbD4WcqgavVEIOlaHGr15aW4v2nlWtXL+qqnFQRktPaQV38AbPXagqXG+0bFXjWqiZWmt7Nrd+u/fsmvtHxAPezHoBfwAecPdjDR9390XunuruqUlJSSfd/0QvueNijHumpzBvZkq9+twZKdwzPZlusbVPwdRR/fnirLMZ1jehpjawV3e+MGMUV44ZFKied7ey59yZ0dtTWiE+AabMq1+79F6Y9hWwOvEw7lMw9UuQeEZtrf8omP4ADLuothaXCJd8sW09Z0Sg55jrWnoWAitic/AAZhYPvAq87u7/e6LlT3UOfuZ3FrOnvPb+tu9fy1/X72PPkWL+6YIhnD80fNmc5dsP8UHmYSaO6MeVYwYDsONgAUsy9jOkTwI3TBxGQnwseUXl/PHDbELu3DjpTAb1TqC8MqSeUdbzul8sq3cxJc2/N8MdtiyG/Rsg5TJInh6u71sLW1+DgefA2BshNg7y90LGS+H57AtvCQdpeVF4+qT4EFzwKRhwdufsGVAtzcFH8k1WA54C8tz9gdasc6oBLyLSVbUU8JGcopkO3AFcaWbrqr+65uskEZEOEMmzaJYTvrSwiIh0AP0lq4hIQCngRUQCSgEvIhJQCngRkYBSwIuIBJQCXkQkoBTwIiIBpYAXEQkoBbyISEAp4EVEAkoBLyISUAp4EZGAUsCLiASUAl5EJKAU8CIiAaWAFxEJKAW8iEhAKeBFRAJKAS8iElAKeBGRgFLAi4gElAJeRCSgFPAiIgGlgBcRCai4SDU2syeATwAH3X1cpLYD8MzyHXz71a0197d9/1peWb+P7CPFfHzsEMYO6wPAsu25fJCZx6QR/bhyzGAAth8oYEnGfob07c4nJ55JQnwshwvL+NPavYTcuXHSmQzqnUB5ZUg9o6znC6t38dTqvTX7RdZDs9t71zs1ez+Eba/BgHPggpsgNg7y90LGixCXCBNuhcQzoLwINrwARYdh3KdgwNngDlsWQ856GHUZJM9Qz2jp2QHM3SPT2GwWUAg83dqAT01N9bS0tJPeVvKCxc0+FhdjPHnPxWzOOcYPlmypqf/zVecw65yB3P7oasqrQgBcktKfRXekcs0v3iMnvxSAgb26s+T+GSz4QwZvbTmonlHUszLUeN/u8JDf/Cq8eAd4+Pth3M1w1XfhkVlQejRcOyMFvrgMnr4e9q0N1+ISYe7rsP4FWLWwtt8nfgY9BwWr55eWwVMB65n6eSLFzNLdPbWpxyJ2BO/u75lZcqT6Hzfm35sPd4DKkPPk+1lk7M2vV39ieSa7cgtrggNgdWYev3lvZ01wABwqLOPxZZk1wRGUnplN9HykyZ67orZnp7Tq4drgANj4R+g1uDY4AI5kwvs/qw0OgMoSWL0IMl6q32/Fr6D3kGD1XP7z4PWMYMC3pMPn4M1svpmlmVlabm7uSa8f04rvIDbGiDWrv56Fj/Iaim+iFhfbuBbtPWObWr/JnrFR27NTimkwTjOIiW+8XGy3JmpxYA12+Ji44PVsshblPTtIhwe8uy9y91R3T01KSjrp9Tf9V8svubvFxTBv5ii+esXZ9epfuWI0n5+RQmJ87X/mFeclMW/WKJIH9KipndkvkbkzRjH7wqFdtGdK1PbslKbfX/8HfuJnYeqXwkeIxw0aG15u5PTaWvc+cMmX4dJ76zQzmPm1rtFzapT37CARm4MHqJ6ieTXSc/Dr9uznxoXp4W0CO35wHW9uPsCevGKuHjuYkQN6ArD2oyOsycpj4vAzmJLSH4DsI8Us/ccBhvRN4Oqxg4mPjaGgtIIlGTlUhWD2+KH07RFPVcjVM8p6fph1mH95KQOAeIPtP+wkb7LmboPtS2HgOTD66vDL0KLDsOnPEJ8IYz8J3XpCZTlsfgWKD8P510OfYeH1d70L+zdAyiwYOkE9o6VnhLQ0Bx+IgBcR6apaCviIvY41s+eBlcB5ZpZtZnMjtS0REWkskmfRzIlUbxERObFO+k6UiIi0lQJeRCSgFPAiIgGlgBcRCSgFvIhIQCngRUQCSgEvIhJQCngRkYBSwIuIBJQCXkQkoBTwIiIBpYAXEQkoBbyISEAp4EVEAkoBLyISUAp4EZGAUsCLiASUAl5EJKAU8CIiAaWAFxEJKAW8iEhAKeBFRAJKAS8iElAKeBGRgIqLZHMzuwb4BRALPObuD0Vye53F+j1HeXXDPgb3SeC2KSPo1T2OnPwSfv/BHtydz6QOZ3j/HpSUV/HCmo/IPlLCteOHMHlkfwD+lpHD6sw8Jo3oxw0ThmFmUdNTRDoPc/fINDaLBbYBVwPZwBpgjrtvam6d1NRUT0tLi8h4TpcVOw5xxxMfUBUKP68Thvfj8Tsnc80vlnGosByAvonxvPbATL72wnpW7joMgBk8ekcqG/fl8/M3t9f0mz9rFJefmxQVPb913fnt/4SKSIvMLN3dU5t6LJJH8FOAHe6+q3oQvwc+CTQb8EHw3OqPakITwkfzi97bVROaAPklFTy2LLMmNAHc4ZlVu9m4N79ev2dW7iY7r7j9ex5poueytvX85rVjdBQv0olEcg7+TGBPnfvZ1bV6zGy+maWZWVpubm4Eh3N6JMTHNqr1Tohvotb4d2uPbrGN1k+IjyGxW+Nl29wzvome3Zvo2b31PRXuIp1LJAO+qZ/2RvNB7r7I3VPdPTUpKSmCwzk95s1KqRe0s8cPZe7MFM4b3LumljKwJ/dMT+Ezk8+qqfXoFssXLzubBz52DnVz8l+uPrdje85ofU8R6VwiOQc/DXjQ3f+p+v43Adz9h82tE4Q5eIBDhWW8teUgQ/okMGP0QGJijNKKKv6++SBV7lx9/mASu8Xi7qzceZg9R4q54rxBDOqTAMD2AwWsyTrCxOH9GDusT1T1FJHTq6U5+EgGfBzhN1mvAvYSfpP1dnf/R3PrBCXgRUROlw55k9XdK83sXuB1wqdJPtFSuIuISPuK6Hnw7r4EWBLJbYiISNP0l6wiIgGlgBcRCSgFvIhIQCngRUQCKmKnSZ4KM8sFdnf0OAJiIHCoowch0gztn+1npLs3+VeinSrgpf2YWVpz58aKdDTtn6eHpmhERAJKAS8iElAK+OBa1NEDEGmB9s/TQHPwIiIBpSN4EZGAUsCLiASUAj6AzOwaM9tqZjvMbEFHj0fkODN7wswOmtnGjh5LV6CAD5jqDztfCFwLjAXmmNnYjh2VSI3fAtd09CC6CgV88NR82Lm7lwPHP+xcpMO5+3tAXkePo6tQwAdPqz7sXESCTwEfPK36sHMRCT4FfPBkA8Pr3D8L2NdBYxGRDqSAD541wDlmlmJm3YDbgFc6eEwi0gEU8AHj7pXA8Q873wy8qA87l87CzJ4HVgLnmVm2mc3t6DEFmS5VICISUDqCFxEJKAW8iEhAKeBFRAJKAS8iElAKeBGRgFLAS5dlZkPM7PdmttPMNpnZEjM7t5llk3UFRIk2CnjpkszMgD8B77j72e4+FvgWMLid+se1Rx+RtlDAS1d1BVDh7r85XnD3dcByM/uJmW00swwzu7XhimaWYGZPVj++1syuqK7fbWYvmdlfgaWn6xsRaY6OMqSrGgekN1H/FDARmAAMBNaY2XsNlvkqgLuPN7MxwNI6UzvTgAvdXZfElQ6nI3iR+mYAz7t7lbsfAN4FLm5imWcA3H0LsBs4HvBvKNyls1DAS1f1D2ByE/WmLrd8MssUndpwRNqfAl66qreA7mY273jBzC4GjgC3mlmsmSUBs4APGqz7HvDZ6nXOBUYAW0/LqEVOgubgpUtydzezm4CfV38weSmQBTwA9ALWE/6glG+4+34zS66z+sPAb8wsA6gE7nb3svCJOSKdh64mKSISUJqiEREJKAW8iEhAKeBFRAJKAS8iElAKeBGRgFLAi4gElAJeRCSg/h/XgBQzCE5N3AAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] + "text/plain": "
", + "image/svg+xml": "\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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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 \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", + "image/png": "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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -371,26 +199,25 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 6, "metadata": {}, - "output_type": "execute_result" + "execution_count": 6 }, { + "output_type": "display_data", "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] + "text/plain": "
", + "image/svg+xml": "\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 \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 \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 \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", + "image/png": "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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -421,8 +248,8 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ " precision recall f1-score support\n", "\n", @@ -439,7 +266,9 @@ " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0\n", " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", " 0 0 0 0 0 1 0 0 0 0 0 0 0 0]\n", - "Accuracy: 0.8140703517587939\n" + "Accuracy: 0.8140703517587939\n", + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n", + " FutureWarning)\n" ] } ], @@ -462,15 +291,15 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { "text/plain": [ "array([[162, 4],\n", " [ 33, 0]])" ] }, - "execution_count": 9, "metadata": {}, - "output_type": "execute_result" + "execution_count": 9 } ], "source": [ @@ -484,36 +313,32 @@ "metadata": {}, "outputs": [ { - "name": "stderr", "output_type": "stream", + "name": "stderr", "text": [ - "/opt/conda/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " FutureWarning\n", - "/opt/conda/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", - " FutureWarning\n" + "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n FutureWarning\n/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n FutureWarning\n" ] }, { + "output_type": "execute_result", "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "execution_count": 10 }, { + "output_type": "display_data", "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAAsTAAALEwEAmpwYAAAtJUlEQVR4nO3dd3xW5d3H8c+VkE0SCCFAEkJYYYYZluJAQQEVRLB1D2qRtvbp08cKuOqs4uhwU7RYrba2kgjIVARRGYKoZEEgBEhCIJvscY/r+ePEGjGQO3An5x6/9+vFK/fJObnzOwS+HM65rt+ltNYIIYRwfz5mFyCEEMI5JNCFEMJDSKALIYSHkEAXQggPIYEuhBAeopNZ3zgyMlLHx8eb9e2FEMIt7d27t0Rr3b2lfaYFenx8PF999ZVZ314IIdySUurYmfbJLRchhPAQEuhCCOEhJNCFEMJDSKALIYSHkEAXQggP0WqgK6VWKKWKlFLpZ9ivlFIvKqWylVKpSqkxzi9TCCFEaxy5Qv87MP0s+2cAA5t+LQBeO/+yhBBCtFWr49C11p8ppeLPcshs4G1t9OHdpZTqopTqpbU+4awihRDCpWV8AIWZrR5m05qvc8uJGHwJ/SfNcnoZzphYFAPkNdvOb/rcjwJdKbUA4yqeuLg4J3xrIYQwWc6n8P4dTRvqjIfppr1jNXzZ2Oiygd7SGbS4aobWejmwHCApKUlW1hBCuDdrA6y7F7r2hV/uAr/AHx1Sb7Hx0pZDLNuWQ9dgf56YPYwZib3apRxnBHo+0LvZdixQ4IT3FUII17b9RSjNhluSWwzzr46WsSg5lZziGq4fG8tDVw0lPNiv3cpxRqCvAe5RSr0HTAAq5P65EMLjlR2Bz5+HodfCgKk/2FXdYOW5jQd4e9cxosODeHv+eC5OaLGfllO1GuhKqX8BlwKRSql84BHAD0BrvQxYD8wEsoFa4M72KlYIIVyC1rBhEfh0gulP/2DXtoPFPJCSRkFFHbdPiue+KwcREtAxfRAdGeVyYyv7NfArp1UkhBCu7sBaOPQRXPkUhEUDcKq2kSfW7if563z6dw/h/bsnkRQf0aFlmdY+Vwgh3FLlCdj1GnQbAOPvBmBD2gkeXp1BeW0j90wZwD2XDSDQz7fDS5NAF0KItijJgtydcNG9FNVY+f3qfWzMOMnwmDDemj+OYdHhppUmgS6EEG2Ruwu0nY/tY7n3T9uot9pZPH0wP7+oL518zW2PJYEuhBBtUJv9BfW+3Viw2cq4+EiWzk2kX/fOZpcFSKALIYRDbHbNu19kMS9vNx9xMY/PTuTmCX3w8Tnz7NCOJoEuhBCtyC6qYnFyGhF5H3ObfwNTZ99B5Oh4s8v6EQl0IYQ4A4vNzl+3HebFT7KZ4f81zwctQwd2J3L41Na/2AQS6EII0YK0/AoWJaey/0QFL8Zs4ZrSFaiokTDlgRan+bsCCXQhhGim3mLjL5sP8frnOUQHa3YOfJdeeesh8XqY9RIUHzC7xDOSQBdCiCZf5pSyJCWNIyU13D3Cn0UVj+Gblw5TH4MLfwPKdR6AtkQCXQjh9arqLTy7MYt/7DpG74gg1szyZcQXC8HWCDf9BxKuMLtEh0igCyG8R+p/oPCHyyMfK6vl84PFxDTYeLdPOONjA/Db/DZ07QM3/Au6J5hUbNtJoAshvEPqfyDl5+DrD8oHDVhtdnrYNdcrhV+AwqdUQSkw8Aq49lUI6vLj9+ncs4MLd5wEuhDC81nqYPMj0G0geuEXrNtfxiOrM6hosPDLKQP41ZT++HRysJlWWPusNuQMEuhCCM9WXwGbH4PKAsrnvc+if6XzcWYhI2LDeeeuCQzpFWZ2hU4jgS6E8EwF38BXKyBtJVhqOdxjOteu1DRai3lg5mDmX2h+My1nk0AXQniOxlpITzaCvOBr8AumeuC1PF18Ae8ei2BC3zCemTuC+MgQsyttFxLoQriLgm8h7X2zq3BdDZWQudq4xdJ9MPbpz/Bu3SSe2nICXx/FH6aEcOO0iS7VTMvZJNCFcGWVJ4yHcPUV8M+fQG0p+AaYXZVr8ukEA6dB0nwOBiayKDmNb/PyuWxwFH+YM5xe6hR4cJiDBLoQrq36pBHoW56E6iJYsBWiR5tdlctqtNp57dPDvLz1C0ID/XjhhlHMGhmNUgoIMru8dieBLoSrK/gG9rwB4+6SMD+LfXmnWJycyoGTVcwaGc0j1wylW2fv+t+MBLoQrsxug/X3QXAkXPaQ2dW4pLpGG3/efJA3Ps8hKjSQN25LYurQHmaXZQoJdCFc2YG1xmiN695oedail9t5uJT7U1I5WlrLjePjuH/mYMIC/cwuyzQS6EK4quoi2L0c+l4MifPMrsalVNZbWLrhAP/8Mpc+3YL5588ncEH/SLPLMp0EuhCu6qOHwdoAM//o8m1bO9In+wt58IN0iqrqWXBxP347NYEgfwen7Xs4CXQhXNGRzyH1PRh1i1t1+2tPpdUNPPZhJmv2FTCoRyjLbh3LqN5dzC7LpUigC+FqrI2w7l7oEgdjbjG7GtNprVmzr4DHPsykqt7Cb6cm8ItL++PfybOm7TuDBLoQrmbnS1CSZSys0Mk1167sKCcq6njog3Q+OVDEyN5deHbuCAb1DDW7LJclgS6EKyk/Ctueg8FXQ8KVxhh0L2S3a97bk8fT6/djsdt56Koh3HlhX3w9fKbn+ZJAF96jtgx2vgKN1WZXcmZ5X4LygRnPmF2JaY6W1LAkJZVdOWVc0L8bT1+XSJ9untlMy9kk0IXn+64fyoZFRivVQBfuf618YcZSCI81tl14dRxns9rsrNh+hD9+dBB/Xx+WXpfIT8f1bpq2LxzhUKArpaYDLwC+wBta66Wn7Q8H3gHimt7zea31m06uVYhzU33SuCed9j5cshimPGB2RY5z4dVxnOnAyUoWr0xlX34FU4f04Mlrh9Mz3LufH5yLVgNdKeULvAJMA/KBPUqpNVrrzGaH/QrI1Fpfo5TqDmQppd7VWje2S9VCtIWtEdb9DrrGw+Tfml2NaKbBauOVrYd5dWs24UF+vHTjaK4e0Uuuys+RI1fo44FsrXUOgFLqPWA20DzQNRCqjJ9CZ6AMsDq5ViHOzb5/Q+khuDkZ/Dy/4567+Ca3nMXJqRwsrGbO6BgevnooESH+Zpfl1hwJ9Bggr9l2PjDhtGNeBtYABUAo8FOttf30N1JKLQAWAMTFxZ1LvUK0TdkR+OYfMHQ2DJxqdjUCqG208sePDrJi+xF6hgWy4o4kLhvsnc20nM2RQG/p/z76tO0rgW+By4D+wMdKqc+11pU/+CKtlwPLAZKSkk5/DyGcS2vjQaiPL1z5tNnVCGBHdglLUtLILavllolxLJ4+mFAvbqblbI4Eej7Qu9l2LMaVeHN3Aku11hrIVkodAQYDu51SpRDn4sBaOPQRTPwFhMeYXY1Xq6iz8PT6/by3J4++kSH8e8FEJvTrZnZZHseRQN8DDFRK9QWOAzcAN512TC5wOfC5UqoHMAjIcWahQrRJQzVsWAxRw2D4XLOr8WofZZzkoVXplFQ3cPclRjOtQD9pptUeWg10rbVVKXUPsAlj2OIKrXWGUmph0/5lwBPA35VSaRi3aBZrrUvasW4hzm7bM1B5HOatMNaaFB2upLqBR9dksDb1BIN7hvLG7UmMiO1idlkezaE/6Vrr9cD60z63rNnrAuAK55YmxDkqzIRdr8LoWyFuotdOnzeL1ppV3x7nsQ8zqW2wce+0BBZe2h8/X2mm1d7k0kV4Frsd1v0fBITBtMfNrsbrFJyq48EP0tiaVczoOKOZ1sAe0kyro0igi/ZjqQdff/A5w5WZzQp734Si/c77nrUlkLsTZr0MwRHOe19xVna75t3duSxdvx+7hkeuGcptk+KlmVYHk0AX7cNuh8IMY3GGgBau0AozYPWvjNshQRFGQypnGT4PRt38/bYX9UMxQ05xNUuS09h9tIzJAyJ5+rpEekcEm12WV5JAF+2jrgxqin682o61Eb74E3z2PASGGw8th13XvkuseUk/lI5mtdl544sj/PnjgwR08uHZeSO4fmysTNs3kQS6cD6tofQw2G0//Pzxr2H1PVCUAYnXw/RnIETGIrujzIJKFiXvI/14JVcO68ETs4cTFSbNtMwmgS6cr74CGiq/X23HUgefPg07XoLOPeDG92DQDHNrFOekwWrj5S3ZvPbpYboE+/HqzWOYMbynXJW7CAl04XzlR6FTgHF7JW+3Mf2+NBvG3AbTnoCgLmZXKM7B3mNlLE5OI7uomrljYnnoqiF0lWZaLkUCXThXQ7Vx7zyoG+x+HfZ/CF16w62roP8Us6sT56Cmwcpzm7J4a+dRosODeGv+eC5J6G52WaIFEujCuU7lgY8fHNkG+9fAyBth5vMQ0NnsysQ5+PxQMfenpJFfXsftk/pw3/TBdA6Q2HBV8pMRzmOph8p843bLzpeha1+Y/rSEuRuqqLXw5LpM3t+bT7/uIby/cBLj4mVcv6uTQBfOU3ncGE++9y1jQeaLfid9VNzQxvSTPLw6nbKaRn55aX/+5/KB0kzLTcjfNuEcNovxMLSmCDJSYMjVEJnQ6pcJ11FUVc+jazJYn3aSob3CePOOcQyPCTe7LNEGEujCOaoKwW6F7S8afVTGLzBGuQiXp7Um+evjPLE2kzqLjfuuHMSCi/tJMy03JIEuzp/dBmWH4dhOKMqES+83pvtbS82uTLQiv7yWBz5I57ODxST16crSuSMYECXPPNyVBLo4f5Y6qCmBr96AXiNh4BXQWGM05vINMLs60QK7XfOPXcd4ZuMBAB6bNYxbJ/bBR5ppuTUJdOEc37wDjbVw4f+Ctd64px47DjrJxBNXc7i4msUrU/nqWDkXJ3TnqTnDie0qzbQ8gQS6OHdaQ3EWZK6CnC3GmPOwaGNyUe9xMlzRxVhsdpZ/lsMLnxwiyM+X568fydwxMTJt34NIoIu2qSmBnE/h8FY4vAWqmtYLj0wwAr2+EmKTjE6KwmWkH69g0cpUMk9UMjOxJ4/OGkZUqDTT8jQS6OLsrA2Qu8sI75ytcGKf8fnALtDvEuh/GcROgFO5xrG9RsrCEi6k3mLjhU8OsfyzHCJC/Fl2yximD5d2wp5KAt1baQ173oCCb898TPVJOLodrHXGBKHY8TDlISPEo0eBT9Nkk4ZqY4Zo9yEQ2qMjqhcO2HO0jMUrU8kpqeH6sbE8dNVQwoP9zC5LtCMJdG9TeQICw2DVLyBztbGaz5lmcwaEwphbjQCPn9zyykNgtMntNRI6R7Vf3cJh1Q1Wnt14gLd3HiO2axD/+Nl4LhoozbS8gQS6tznxDWz5gzFe/IonYdI9579akG8nCXMXse1gMQ+kpFFQUccdF8Rz35WDCJFmWl5DftLe5GQ6fLAQNHDz+zBgqtkVCSc5VdvI42szSfn6OP27h7By4STG9pFnGd5GAt2bfP228eBy4XaIHGB2NcIJtNZsSD/J71enc6rWwj1TBnDPZQOkmZaXkkD3JkWZENFXwtxDFFXW8/DqdDZlFDI8Joy35o9nWLQMF/VmEujeQmsozIA+k8yuRJwnrTXv783nybWZNFjtLJkxmLsm96WTNNPyehLo3qK6EOrKoOdIsysR5yGvrJb7U9L4IruE8fERLJ2bSL/uMiNXGCTQvUVRpvFRrtDdks2ueXvnUZ7dmIWPgieuHc7N4+OkmZb4AQl0b1HYFOhRQ82tQ7TZocIqFien8nXuKS4d1J0/zEkkpkuQ2WUJFySB7i2KMiEkCkIiza5EOMhis7Ps08O8tCWbkABf/vzTkVw7SpppiTNzKNCVUtOBFwBf4A2t9dIWjrkU+AvgB5RorS9xWpXi/BVmQA+5OncXafkV3LdyHwdOVnH1iF48OmsYkZ2lt7w4u1YDXSnlC7wCTAPygT1KqTVa68xmx3QBXgWma61zlVIybdCV2G1Gm9uk+WZXIlpRb7Hx580Hef2zHCI7B7D81rFcMayn2WUJN+HIFfp4IFtrnQOglHoPmA1kNjvmJiBFa50LoLUucnah4jyUHzUabEUNMbsScRZf5pSyJCWNIyU13DCuN/fPHEJ4kDTTEo5zJNBjgLxm2/nAhNOOSQD8lFKfAqHAC1rrt09/I6XUAmABQFxc3LnUK85FYYbxUW65uKSqegvPbDzAO7ty6R0RxLt3TeDCAfKsQ7SdI4He0hMY3cL7jAUuB4KAnUqpXVrrgz/4Iq2XA8sBkpKSTn8P0V6KMgFltLcVLmXrgSIe+CCNk5X1/GxyX+69IoFgfxmrIM6NI39y8oHezbZjgYIWjinRWtcANUqpz4CRwEGE+b6b8u8v60a6irKaRh7/MINV3xYwMKozyb+4gDFxXc0uS7g5RwJ9DzBQKdUXOA7cgHHPvLnVwMtKqU6AP8YtmT87s1BxHgozZfy5i9Baszb1BI+uyaCizsJvLh/IL6f0J6CTNNMS56/VQNdaW5VS9wCbMIYtrtBaZyilFjbtX6a13q+U2gikAnaMoY3p7Vm4cJClDsoOw7A5Zlfi9Qor63nwg3Q27y9kRGw47/58AoN7hpldlvAgDt2s01qvB9af9rllp20/BzznvNKEUxRngbbLA1ETaa359548/rB+P41WOw/OHMKdF8ZLMy3hdPL0xdMV7Tc+Rg0ztw4vday0hvtT0thxuJQJfSN4Zu4I4iNDzC5LeCgJdE9XlAG+ARDRz+xKvIrNrnlz+xGe/yiLTj4+PDUnkRvG9ZZmWqJdSaB7usJM6J5grPspOkTWySoWJaeyL+8Ulw+O4sk5w+kVLs20RPuTv+WerigT+kpbnY7QaLXz6qfZvLI1m9BAP164YRSzRkZLMy3RYSTQPVltGVSdkAeiHWBf3ikWrUwlq7CK2aOi+f3VQ+kmzbREB5NA92RfNE0FkCv0dlPXaONPH2fxty+OEBUayBu3JTF1aA+zyxJeSgLdUxVmwq5XYfStED3K7Go80o7DJdyfksax0lpumhDHkhmDCQuUZlrCPBLonkhrWHcvBITC1MfMrsbjVNZbeHr9Af61O5c+3YL5588ncEF/aaYlzCeB7om+/Sfk7oBZL0FIN7Or8SibMwt5cFUaxVUNLLi4H7+dmkCQv0zbF65BAt3T1JbBxw9D7wkw6hazq/EYpdUNPPZhJmv2FTC4ZyjLb01iZO8uZpclxA9IoHuaTx6DulNw1Z/AR6aWny+tNWv2FfDomgyqG6z8dmoCv7i0P/6d5PdWuB4JdE+Stwf2/h0m3QM9h5tdjds7UVHHQx+k88mBIkb17sKz80aQ0CPU7LKEOCMJdE9hs8La30JoNFy6xOxq3JrdrvnXnlyeXn8Aq93OQ1cN4c4L++Ir0/aFi5NA9xR7XofCNPjJ28boFnFOjpTUsCQ5lS+PlHFB/24svW4Ecd1kYRDhHiTQPUHlCdjyBxgwFYbMMrsat2S12Vmx/Qh//Ogg/p18eGZuIj9J6i3T9oVbkUD3BJvuB7sFZj4HEkBttv9EJYuTU0nNr2Da0B48ee1weoQFml2WEG0mgd7RrI2gbeDXrPtewbfw5V+hsart72ezwMGNMOVBaZHbRg1WG69sPcyrW7MJD/Lj5ZtGc1ViL7kqF25LAr2jFR+AgDCIiIfyo7DlSUh7HwLDISzm3N5z6Gy48DfOrNLjfZ1bzuKVqRwqqmbO6Bh+f/VQuob4m12WEOdFAr0j1ZZB2RHoEgcblxsPMpUvXHSvEciB4WZX6PFqG608v+kgb+44Qs+wQN68YxxTBkeZXZYQTiGB3lFsVqNh1vGvYPUvwVILo26GKQ9AWLTZ1XmF7dklLElJJa+sjlsn9mHR9EGESjMt4UEk0DvKqTyozIfdy6HbAJj7BkQNMbsqr1BRZ+Gpdfv591d59I0M4d8LJjKhn/S4EZ5HAr0jNNZAaTZ8+y5oO0xfKmHeQT7KOMlDq9IprWlk4SX9+d+pAwn0k2ZawjNJoHeE4oPGpJ8jnxm3WcJjza7I4xVXNfDohxmsSz3BkF5h/O32cSTGyjMK4dkk0NubzQqVx2H36xDeGwZdJTM525HWmg++Oc7jazOpbbDxuysSuPuS/vj5SjMt4fkk0DtCxgdQVQDTnoDwGAiW+7ft4fipOh78II1Ps4oZE2c00xoQJf94Cu8hgd7eSrMhcxX0v8y4bx6ZILM5ncxu17z75TGWbjiAXcMj1wzltknx0kxLeB0J9PakNWxYBL7+MPJGI8z9pdGTM+UUV7MkOY3dR8u4aGAkT81JpHeE/B4L7ySB3p7Sk+HINhg735gFKg9DncZqs/P650f48+aDBHby4bl5I5g3Nlam7QuvJoHeXhprYNOD0GskDJ1l3G7xkeFyzpBRUMHi5FTSj1dy5bAePDF7OFHSTEsICfR2c3ATVJ+E6/4KPYZDcITZFbm9eouNl7YcYtm2HLoG+/PazWOYkdjL7LKEcBkS6O0lawMERUD8RXJl7gR7j5WxaGUqh4trmDsmloevHkKXYGmmJURzDg3OVUpNV0plKaWylVJnXN9MKTVOKWVTSs1zXoluyGaBQ5sgYbqE+XmqabDy6JoM5i3bSb3Fzlvzx/PHn4yUMBeiBa1eoSulfIFXgGlAPrBHKbVGa53ZwnHPAJvao1C3krsT6itg8EyzK3Frnx0s5v6UNAoq6rhtYh/umz6YzgHyn0ohzsSRvx3jgWytdQ6AUuo9YDaQedpxvwaSgXFOrdAdZW0A3wDoN8XsStxSRa2FJ9ZlsnJvPv26h/CfuycxLl6eQQjRGkcCPQbIa7adD0xofoBSKgaYA1zGWQJdKbUAWAAQFxfX1lrdg9ZwYB30uwQCOptdjdvZmH6Ch1dnUFbTyC8v7c//XC7NtIRwlCOB3tLAXn3a9l+AxVpr29nGAWutlwPLAZKSkk5/D89QtB9OHYPJvzW7ErdSVFXPI6sz2JB+kqG9wnjzjnEMj5FmWkK0hSOBng/0brYdCxScdkwS8F5TmEcCM5VSVq31KmcU6Vay1hsfE6abW4eb0Fqzcm8+T67bT53FxqLpg/j5Rf2kmZYQ58CRQN8DDFRK9QWOAzcANzU/QGvd97vXSqm/A2u9MszBuH8ePQbCZHx0a/LKannggzQ+P1TCuPiuLJ07gv7d5TaVEOeq1UDXWluVUvdgjF7xBVZorTOUUgub9i9r5xrdR9VJY4m5yx4yuxKXZrdr3t55lGc3ZaGAx2cP45YJffCRZlpCnBeHxoBprdcD60/7XItBrrW+4/zLclMHNxofB8lwxTPJLqpmSXIqXx0r5+KE7jw1ZzixXaWZlhDOIIN626q+AhqqYMNisNb/cF/RfugSB1FDzanNhVlsdpZ/lsMLmw8R5O/LH68fyXVjYqSZlhBOJIHeFnY7lByCwnQ4sBZ6jgDfZqvGh/aEMbdLv/PTpB+vYNHKVDJPVDIzsSePzRpO99AAs8sSwuNIoLeFtc74VXXS2L5rM3SSYDqTeouNFz45xPLPcogI8WfZLWOZPryn2WUJ4bEk0NuisRYs9UagB0VImJ/FnqNlLF6ZSk5JDT9JiuXBmUMJD/Zr/QuFEOdMAr0t6ivAbjMCPVSGJbakusHKsxsP8PbOY8R2DeKdn01g8sBIs8sSwitIoLdFbanxsfqkcb9c/MDWrCIeTEnjRGU9d14Yz++uGESINNMSosPI3zZH2W3QWAXK17hCjxpmdkUuo7ymkSfWZpLyzXEGRHVm5cILGNunq9llCeF1JNAdZak1OthoG1QXyRU6xrT99WkneWRNOqdqLfz6sgHcc9kAAjpJMy0hzCCB7ihLHaChodIIdS+f2l9UWc9Dq9L5KLOQxJhw3p4/gaHRYWaXJYRXk0B3VN0pY8x5bZmx7aUPRbXWvP9VPk+sy6TRauf+GYP52eS+dJJmWkKYTgLdUbWl0CkQ6sqNbS+85ZJXVsv9KWl8kV3C+L4RLL0ukX7STEsIlyGB7gi7DRqrIbgb1HnfFbrNrnlrx1Ge25SFr4/iyWuHc9P4OGmmJYSLkUB3RGMNoIwp/XXlxuuQKLOr6hCHCqtYlJzKN7mnuHRQd56ak0h0lyCzyxJCtEAC3RGWuu9f15ZB5+7g69m/dY1WO8u2HeblLdmEBPjyl5+OYvaoaGmmJYQL8+xUcpa68u+bcNWVQWfPvn+emn+KRStTOXCyimtGRvPINUOJ7CxtDoRwdRLojqgrA7/AptflEJlgbj3tpN5i488fH+T1z3PoHhrA67clMW1oD7PLEkI4SAK9NTarcQ89pKkfSW2ZR45w2ZVTypLkVI6W1nLj+N4smTGE8CBppiWEO5FAb42l5vvXNosxsciDbrlU1VtYuuEA736ZS1xEMP+8awIXDJBmWkK4Iwn01jTWfr9gxXfNuTzkCn3LgUIe/CCdwsp67prcl/+7IoFgf/kjIYS7kr+9rak/Bb7+xuvCdOOjmy8xV1bTyOMfZrDq2wISenTm1ZsvYHScNNMSwt1JoLempmmGKMDR7RAYDjFjzK3pHGmt+TD1BI+uyaCq3sJvLh/Ir6YMwL+TTNsXwhNIoJ+NzWIsORcQYrzO+xLiJoFyvwA8WWE009q8v5CRseE8M28Cg3tKMy0hPIkE+tk0NnsgemKf0UI3dpx59ZwDrTXv7cnjqXX7sdjtPDhzCPMn98VXpu0L4XEk0M/GUgs0Bd/RL8A3AHommlpSWxwrrWFJcho7c0qZ2C+CpdeNID4yxOyyhBDtRAL9bGrLoZM/aA3HdkBsklssDG2za97cfoTnP8rCz8eHp+YkcsO43tJMSwgPJ4F+NnVl4BcEpdlQUwRj7zC7olZlnTSaae3LO8Xlg6N4cs5weoVLMy0hvIEE+plYG8FaDwGd4dh2QEHcRNB2sytrUaPVzqufZvPK1mxCA/148cbRXDOilzTTEsKLSKCfSfMZosd2QI9hEBwBNSXm1XQG3+adYvHKVLIKq5g9KppHrhlGRIi/2WUJITqYBPqZNNQYwxOri6DkIIxfYHZFP1LXaOOPH2WxYvsRokID+dvtSVw+RJppCeGtJNDPpK7MeCB66DNju8+F5tZzmh2HS1iSnEZuWS03TYhjyYzBhAVKMy0hvJlDM2SUUtOVUllKqWyl1JIW9t+slEpt+rVDKTXS+aV2sLpyY4bose0QHgtd4syuCIDKegv3p6Ry0+tfohT86+cTeWpOooS5EKL1K3SllC/wCjANyAf2KKXWaK0zmx12BLhEa12ulJoBLAcmtEfBHcLaALZGsPpCwTcw/LrvG3SZaHNmIQ+uSqO4qoG7L+7H/05NIMjf1+yyhBAuwpFbLuOBbK11DoBS6j1gNvDfQNda72h2/C4g1plFdrjvZojm7wG71fTbLaXVDTz6YSYf7itgcM9QXr8tiRGxXUytSQjhehwJ9Bggr9l2Pme/+v4ZsKGlHUqpBcACgLg417iF0aLGGuOK/Oh2CAgzRriYQGvN6m8LeOzDDKobrPzftAQWXtJfmmkJIVrkSKC3dK9Bt3igUlMwAn1yS/u11ssxbseQlJTU4nu4hNpS8OkEebsg7gLjdQcrOFXHQ6vS2XKgiFG9u/DsvBEk9Ajt8DqEEO7DkaTKB3o3244FCk4/SCk1AngDmKG1LnVOeSbQ2uiBXpINDVXQ54IO/fZ2u+afu3NZuuEANrvm4auHcscF8dJMSwjRKkcCfQ8wUCnVFzgO3ADc1PwApVQckALcqrU+6PQqO5K1oalV7i7w8YPeHddd8UhJDUuSU/nySBkXDujG03NGENctuMO+vxDCvbUa6Fprq1LqHmAT4Aus0FpnKKUWNu1fBvwe6Aa82jTV3Kq1Tmq/sttRQxXYtXH/PGYM+AX/cF9gF6ffgrHa7PztiyP86eOD+Hfy4dm5I7g+KVam7Qsh2sShZNJarwfWn/a5Zc1e3wXc5dzSTFJ1AmoKoaoARv70+89ru3H1Hj3aqUMYMwsqWZycStrxCqYN7cGT1w6nR1ig095fCOE9ZKZoc3Yb1BTDiW+N7eb3z2vLIaIfBDjnwWSD1cbLW7J57dPDdAn245WbxjAzsadclQshzpkEenP1FcaV+LHt0H0QhHQ3Pm9tMBaK7tLHKd9m77FyFienkl1UzXWjY3j46qF0lWZaQojzJIHeXE0xNFZB0X5Imv/95+srjVstvuf321XbaOW5TVn8fcdReoUF8uad45gyKOo8ixZCCIME+ne0hqqTcCLN2P5udmj9KegcBSGR5/X2XxwqYUlKKvnlddw6sQ+Lpg8iVPqvCCGcSAL9Ow1VRv+W3J3QuYdxv9xuBZsVIhPO+UFoRZ2FP6zL5D9f5dM3MoT/3D2J8X0jnFy8EEJIoH+vrtwI9ON7YfDVRoDXnjLC3P/cxoJvyjjJw6vSKa1p5BeX9uc3lw8k0E+aaQkh2ocE+ncqj0NxlhHq8ReCpdYYgx7e9j5jxVUNPLomg3VpJxjSK4y/3T6OxNjwdihaCCG+J4EO0FhrNOTK2w3+IdBzBNSdgtgk8HH8ilprTcrXx3l8bSZ1jTbuu3IQCy7uh5+vNNMSQrQ/CXQwhiva7cb9894ToaEawmKMNUQddPxUHQ+kpLHtYDFj4oxmWgOipJmWEKLjSKADVBZARa4xoiVuotFfslt/h77Ubte88+UxntlwAA08es1Qbp0kzbSEEB1PAt3aaKwfmv8VKF+IGmJMIPJrffr94eJqliSnsudoORcNjOSpOYn0jpBmWkIIc0igN1QCCnJ3QPQoYx3R4G5n/RKLzc7rn+fwl82HCOzkw3PzRjBvrDTTEkKYSwK96qQxQ/RULgy5xuikGBB2xsPTj1ewODmVjIJKpg/ryePXDiMqVJppCSHM592BbrdBdZGxEDRAr9EQ2hN8fjwqpd5i46Uth1i2LYeuwf68dvMYZiT26uCChRDizLw70BsqQduM0S3d+kNQFwj5cW+Vr46WsSg5lZziGuaOieXhq4fQJViaaQkhXIt3B3p1iTEGvTAdRt0MKAj8/nZLTYPRTOutnUeJDg/irfnjuSShu3n1CiHEWXhvoGsN1SehMM1omRszFkK6ga/RMGvbwWIeSEmjoKKO2yfFc9+VgwgJ8N7fLiGE6/PehGqsBms95H4JwZHGRKLQXpyqbeSJtftJ/jqfft1DeP/uSSTFSzMtIYTr895Arys3uinm74aBV4BSbDjcyMNrP6O8tpFfTenPry+TZlpCCPfhvYFeWQAlh8Baz6nuSSzZChtz0hgWHcZb88cxLFqaaQkh3It3BrqlDhqq0Hm7sfoGcfmnfaiyWVg8fTB3XdRXmmkJIdySdwZ6fQV5lTZCDm5npyWRfhH+LP1JEv1jZDk4IYT78rpAt9k1/9h1nPXbDvKfTmWED7yQf0/ujE+0DEcUQrg3rwr07KIqFiensfdYOS90/Rpd78PkpNEQHnPOS8wJIYSr8IpAt9js/HXbYV78JJvgAF/+dFUMs/Z+g+qSaKxK1Ia+50II4ao8PtDTj1dw38pU9p+o5KrEXjw6axjdS/bAJ0dh0MJWm3EJIYS78NhAr7fY+MvmQ7z+eQ4RIf4su2Us04f3NHbu2WZ8jB5t9G5pwzJzQgjhqjwy0HcfKWNJcio5JTX8NKk3D8wcQniwMaUfrSF7M4T3Nvqeh/Ywt1ghhHASjwr0qnoLz27M4h+7jhHbNYh3fjaByQMjf3jQgXVQ8DUkzTe2A2UCkRDCM3hMoG/NKuLBlDROVNYz/8K+/O7KBIL9Tzu9hmrYsBgiE6DfFAiK+G8zLiGEcHduH+jlNY08sTaTlG+OMyCqMysXXsDYPl1bPnjbM1CZD/P+DrZGCIvu0FqFEKI9OTTHXSk1XSmVpZTKVkotaWG/Ukq92LQ/VSk1xvml/pDWmrWpBUz90zbW7Cvgfy4bwLr/mXzmMC/MhF2vwuhbjYehfkHGghZCCOEhWr1CV0r5Aq8A04B8YI9Sao3WOrPZYTOAgU2/JgCvNX1sF4WV9Ty8Kp2PMgtJjAnnnbsmMKTXWYYeag3r7jWGJ057HOorIairEepCCOEhHLnlMh7I1lrnACil3gNmA80DfTbwttZaA7uUUl2UUr201iecXfC+rcmEbPs992lYGuFPV+WPSmnli2yNUJYDs14yJhE1VBn9z4UQwoM4EugxQF6z7Xx+fPXd0jExwA8CXSm1AFgAEBcX19ZaAYiKjCQvqC/DosMJCWjD+PHh82DULcbrzj1k7LkQwuM4EugtNTnR53AMWuvlwHKApKSkH+13RK/ES+iVeMm5fOn3/ALP7+uFEMIFOfJQNB/o3Ww7Fig4h2OEEEK0I0cCfQ8wUCnVVynlD9wArDntmDXAbU2jXSYCFe1x/1wIIcSZtXrLRWttVUrdA2wCfIEVWusMpdTCpv3LgPXATCAbqAXubL+ShRBCtMShiUVa6/UYod38c8uavdbAr5xbmhBCiLaQxTOFEMJDSKALIYSHkEAXQggPIYEuhBAeQhnPM034xkoVA8fO8csjgRInluMO5Jy9g5yzdzifc+6jte7e0g7TAv18KKW+0lonmV1HR5Jz9g5yzt6hvc5ZbrkIIYSHkEAXQggP4a6BvtzsAkwg5+wd5Jy9Q7ucs1veQxdCCPFj7nqFLoQQ4jQS6EII4SFcOtBdcXHq9ubAOd/cdK6pSqkdSqmRZtTpTK2dc7PjximlbEqpeR1ZX3tw5JyVUpcqpb5VSmUopbZ1dI3O5sCf7XCl1IdKqX1N5+zWXVuVUiuUUkVKqfQz7Hd+fmmtXfIXRqvew0A/wB/YBww97ZiZwAaMFZMmAl+aXXcHnPMFQNem1zO84ZybHbcFo+vnPLPr7oCfcxeMdXvjmrajzK67A875AeCZptfdgTLA3+zaz+OcLwbGAOln2O/0/HLlK/T/Lk6ttW4Evlucurn/Lk6ttd4FdFFK9eroQp2o1XPWWu/QWpc3be7CWB3KnTnycwb4NZAMFHVkce3EkXO+CUjRWucCaK3d/bwdOWcNhCqlFNAZI9CtHVum82itP8M4hzNxen65cqCfaeHpth7jTtp6Pj/D+BfenbV6zkqpGGAOsAzP4MjPOQHoqpT6VCm1Vyl1W4dV1z4cOeeXgSEYy1emAb/RWts7pjxTOD2/HFrgwiROW5zajTh8PkqpKRiBPrldK2p/jpzzX4DFWmubcfHm9hw5507AWOByIAjYqZTapbU+2N7FtRNHzvlK4FvgMqA/8LFS6nOtdWU712YWp+eXKwe6Ny5O7dD5KKVGAG8AM7TWpR1UW3tx5JyTgPeawjwSmKmUsmqtV3VIhc7n6J/tEq11DVCjlPoMGAm4a6A7cs53Aku1cYM5Wyl1BBgM7O6YEjuc0/PLlW+5eOPi1K2es1IqDkgBbnXjq7XmWj1nrXVfrXW81joeWAn80o3DHBz7s70auEgp1UkpFQxMAPZ3cJ3O5Mg552L8jwSlVA9gEJDToVV2LKfnl8teoWsvXJzawXP+PdANeLXpitWq3bhTnYPn7FEcOWet9X6l1EYgFbADb2itWxz+5g4c/Dk/AfxdKZWGcTtisdbabdvqKqX+BVwKRCql8oFHAD9ov/ySqf9CCOEhXPmWixBCiDaQQBdCCA8hgS6EEB5CAl0IITyEBLoQQngICXQhhPAQEuhCCOEh/h80+t5cwF+uvAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] + "text/plain": "
", + "image/svg+xml": "\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 \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 \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 \n \n \n \n \n\n", + "image/png": "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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -532,10 +357,10 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "0.6976998904709748\n" + "0.6997079225994889\n" ] } ], @@ -552,9 +377,8 @@ "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-4:m65" }, "kernelspec": { - "display_name": "Python [conda env:root] *", - "language": "python", - "name": "conda-root-py" + "name": "python37364bit8d3b438fb5fc4430a93ac2cb74d693a7", + "display_name": "Python 3.7.0 64-bit ('3.7')" }, "language_info": { "codemirror_mode": { @@ -566,7 +390,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.10" + "version": "3.7.0" }, "metadata": { "interpreter": { @@ -576,4 +400,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file