From 930ffb34fa39c5bb6bae5283f1c3dc4f2ebf4e6c Mon Sep 17 00:00:00 2001 From: mhjensen Date: Mon, 27 Aug 2018 17:23:51 +0200 Subject: [PATCH] set up of homework projects --- doc/Projects/2018/hw1/html/hw1-bs.html | 287 +++++++++++++++++ doc/Projects/2018/hw1/html/hw1.html | 235 ++++++++++++++ .../2018/hw1/ipynb/ipynb-hw1-src.tar.gz | Bin 0 -> 206 bytes doc/Projects/2018/hw1/pdf/hw1.p.tex | 302 ++++++++++++++++++ doc/Projects/2018/hw1/pdf/hw1.pdf | Bin 0 -> 195801 bytes doc/Projects/2018/hw1/pdf/hw1.tex | 270 ++++++++++++++++ doc/src/Projects/2018/Exercises/hw1.do.txt | 113 ++++++- doc/src/Projects/2018/Exercises/hw2.do.txt | 100 +----- doc/web/course.do.txt | 12 +- doc/web/course.html | 72 +++-- 10 files changed, 1268 insertions(+), 123 deletions(-) create mode 100644 doc/Projects/2018/hw1/html/hw1-bs.html create mode 100644 doc/Projects/2018/hw1/html/hw1.html create mode 100644 doc/Projects/2018/hw1/ipynb/ipynb-hw1-src.tar.gz create mode 100644 doc/Projects/2018/hw1/pdf/hw1.p.tex create mode 100644 doc/Projects/2018/hw1/pdf/hw1.pdf create mode 100644 doc/Projects/2018/hw1/pdf/hw1.tex diff --git a/doc/Projects/2018/hw1/html/hw1-bs.html b/doc/Projects/2018/hw1/html/hw1-bs.html new file mode 100644 index 000000000..0041f1940 --- /dev/null +++ b/doc/Projects/2018/hw1/html/hw1-bs.html @@ -0,0 +1,287 @@ + + + + + + + +Homework 1 + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +

 

 

 

+ + + + + + +
+

Homework 1

+ +

+ + +

+Data Analysis and Machine Learning FYS-STK3155/FYS4155 +
+ +

+ + +

Department of Physics, University of Oslo, Norway
+
+

+

Aug 27, 2018

+
+

+

+ +

Exercise 1

+ +

+The first exercise here is of a mere technical art. We want you have installed + +

+ +We will make extensive use of Python as programming language and its +myriad of available libraries. You will find +IPython/Jupyter notebooks invaluable in your work. You can run R +codes in the Jupyter/IPython notebooks, with the immediate benefit of +visualizing your data. You can also use compiled languages like C++, +Rust, Fortran etc if you prefer. The focus in these lectures will be +on Python, but we will provide many code examples for those of you who +prefer R or compiled languages. You can integrate C++ codes and R in for example +a Jupyter notebook. + +

+If you have Python installed (we recommend Python3) and you feel +pretty familiar with installing different packages, we recommend that +you install the following Python packages via pip as + +

    +
  1. pip install numpy scipy matplotlib ipython scikit-learn sympy pandas pillow
  2. +
+ +For Tensorflow, we recommend following the instructions in the text of +Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly + +

+We will come back to tensorflow later. + +

+For Python3, replace pip with pip3. + +

+For OSX users we recommend, after having installed Xcode, to +install brew. Brew allows for a seamless installation of additional +software via for example + +

    +
  1. brew install python3
  2. +
+ +For Linux users, with its variety of distributions like for example the widely popular Ubuntu distribution, +you can use pip as well and simply install Python as + +
    +
  1. sudo apt-get install python3 (or python for pyhton2.7)
  2. +
+ +If you don't want to perform these operations separately and venture +into the hassle of exploring how to set up dependencies and paths, we +recommend two widely used distrubutions which set up all relevant +dependencies for Python, namely + + + +which is an open source +distribution of the Python and R programming languages for large-scale +data processing, predictive analytics, and scientific computing, that +aims to simplify package management and deployment. Package versions +are managed by the package management system conda. + + + +is a Python +distribution for scientific and analytic computing distribution and +analysis environment, available for free and under a commercial +license. + +

+We recommend using Anaconda. + +

Exercise 2

+ +

+We will generate our own dataset for function \( y(x) \) where \( x \in [0,2] \) and defined by random numbers computed with the uniform distribution. The function \( y \) is a quadratic polynomial in \( x \) with added stochastic noise according to the normal distribution \( \cal {N}(0,1) \). +The following simple Python instructions define our \( x \) and \( y \) values (with 100 data points). +

+ + +

x = np.random.rand(100,1)
+y = 5*x*x+0.1*np.random.randn(100,1)
+
+
    +
  1. Write your own code (following the examples under the regression slides for computing the parametrization of the data set fitting a second-order polynomial.
  2. +
  3. Use thereafter scikit-learn (see again the examples in the regression slides) and compare with your own code.
  4. +
  5. Using scikit-learn, compute also the mean square error, a risk metric corresponding to the expected value of the squared (quadratic) error or loss defined as
  6. +
+ +$$ MSE(\hat{y},\hat{\tilde{y}}) = \frac{1}{n} +\sum_{i=0}^{n-1}(y_i-\tilde{y}_i)^2, +$$ + +and the \( R^2 \) score function. +If \( \tilde{\hat{y}}_i \) is the predicted value of the \( i-th \) sample and \( y_i \) is the corresponding true value, then the score \( R^2 \) is defined as +$$ +R^2(\hat{y}, \tilde{\hat{y}}) = 1 - \frac{\sum_{i=0}^{n - 1} (y_i - \tilde{y}_i)^2}{\sum_{i=0}^{n - 1} (y_i - \bar{y})^2}, +$$ + +where we have defined the mean value of \( \hat{y} \) as +$$ +\bar{y} = \frac{1}{n} \sum_{i=0}^{n - 1} y_i. +$$ + +

+Discuss the meaning of these results. Try also to vary the coefficient in front of the added stochastic noise term and discuss the quality of the fits. + +

Exercise 3, variance of the parameters \( \beta \) in linear regression

+ +

+Show that the variance of the parameters \( \beta \) in the linear regression method (chapter 3, equation (3.8) of Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer) is given as + +$$ +mathrm{Var}(\hat{\beta}) = \left(\hat{X}^T\hat{X}\right)^{-1}\sigma^2, +$$ + +with +$$ +\sigma^2 = \frac{1}{N-p-1}\sum_{i=1}{N} (y_i-\tilde{y}_i)^2, +$$ + +where we have assumed that we fit a function of degree \( p-1 \) (for example a polynomial in \( x \)). + +

+ +

+ + +
+ + + + + + + +
+ © 1999-2018, "Data Analysis and Machine Learning FYS-STK3155/FYS4155":"http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html". Released under CC Attribution-NonCommercial 4.0 license +
+ + + + + + diff --git a/doc/Projects/2018/hw1/html/hw1.html b/doc/Projects/2018/hw1/html/hw1.html new file mode 100644 index 000000000..4111259da --- /dev/null +++ b/doc/Projects/2018/hw1/html/hw1.html @@ -0,0 +1,235 @@ + + + + + + + +Homework 1 + + + + + + + + + + + + + + + + + + + + + + + +

Homework 1

+ +

+ + +

+Data Analysis and Machine Learning FYS-STK3155/FYS4155 +
+ +

+ + +

Department of Physics, University of Oslo, Norway
+
+

+

Aug 27, 2018

+
+ +

Exercise 1

+ +

+The first exercise here is of a mere technical art. We want you have installed + +

+ +We will make extensive use of Python as programming language and its +myriad of available libraries. You will find +IPython/Jupyter notebooks invaluable in your work. You can run R +codes in the Jupyter/IPython notebooks, with the immediate benefit of +visualizing your data. You can also use compiled languages like C++, +Rust, Fortran etc if you prefer. The focus in these lectures will be +on Python, but we will provide many code examples for those of you who +prefer R or compiled languages. You can integrate C++ codes and R in for example +a Jupyter notebook. + +

+If you have Python installed (we recommend Python3) and you feel +pretty familiar with installing different packages, we recommend that +you install the following Python packages via pip as + +

    +
  1. pip install numpy scipy matplotlib ipython scikit-learn sympy pandas pillow
  2. +
+ +For Tensorflow, we recommend following the instructions in the text of +Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly + +

+We will come back to tensorflow later. + +

+For Python3, replace pip with pip3. + +

+For OSX users we recommend, after having installed Xcode, to +install brew. Brew allows for a seamless installation of additional +software via for example + +

    +
  1. brew install python3
  2. +
+ +For Linux users, with its variety of distributions like for example the widely popular Ubuntu distribution, +you can use pip as well and simply install Python as + +
    +
  1. sudo apt-get install python3 (or python for pyhton2.7)
  2. +
+ +If you don't want to perform these operations separately and venture +into the hassle of exploring how to set up dependencies and paths, we +recommend two widely used distrubutions which set up all relevant +dependencies for Python, namely + + + +which is an open source +distribution of the Python and R programming languages for large-scale +data processing, predictive analytics, and scientific computing, that +aims to simplify package management and deployment. Package versions +are managed by the package management system conda. + + + +is a Python +distribution for scientific and analytic computing distribution and +analysis environment, available for free and under a commercial +license. + +

+We recommend using Anaconda. + +

Exercise 2

+ +

+We will generate our own dataset for function \( y(x) \) where \( x \in [0,2] \) and defined by random numbers computed with the uniform distribution. The function \( y \) is a quadratic polynomial in \( x \) with added stochastic noise according to the normal distribution \( \cal {N}(0,1) \). +The following simple Python instructions define our \( x \) and \( y \) values (with 100 data points). +

+ + +

x = np.random.rand(100,1)
+y = 5*x*x+0.1*np.random.randn(100,1)
+
+
    +
  1. Write your own code (following the examples under the regression slides for computing the parametrization of the data set fitting a second-order polynomial.
  2. +
  3. Use thereafter scikit-learn (see again the examples in the regression slides) and compare with your own code.
  4. +
  5. Using scikit-learn, compute also the mean square error, a risk metric corresponding to the expected value of the squared (quadratic) error or loss defined as
  6. +
+ +$$ MSE(\hat{y},\hat{\tilde{y}}) = \frac{1}{n} +\sum_{i=0}^{n-1}(y_i-\tilde{y}_i)^2, +$$ + +and the \( R^2 \) score function. +If \( \tilde{\hat{y}}_i \) is the predicted value of the \( i-th \) sample and \( y_i \) is the corresponding true value, then the score \( R^2 \) is defined as +$$ +R^2(\hat{y}, \tilde{\hat{y}}) = 1 - \frac{\sum_{i=0}^{n - 1} (y_i - \tilde{y}_i)^2}{\sum_{i=0}^{n - 1} (y_i - \bar{y})^2}, +$$ + +where we have defined the mean value of \( \hat{y} \) as +$$ +\bar{y} = \frac{1}{n} \sum_{i=0}^{n - 1} y_i. +$$ + +

+Discuss the meaning of these results. Try also to vary the coefficient in front of the added stochastic noise term and discuss the quality of the fits. + +

Exercise 3, variance of the parameters \( \beta \) in linear regression

+ +

+Show that the variance of the parameters \( \beta \) in the linear regression method (chapter 3, equation (3.8) of Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer) is given as + +$$ +mathrm{Var}(\hat{\beta}) = \left(\hat{X}^T\hat{X}\right)^{-1}\sigma^2, +$$ + +with +$$ +\sigma^2 = \frac{1}{N-p-1}\sum_{i=1}{N} (y_i-\tilde{y}_i)^2, +$$ + +where we have assumed that we fit a function of degree \( p-1 \) (for example a polynomial in \( x \)). + + + + +

+ © 1999-2018, "Data Analysis and Machine Learning FYS-STK3155/FYS4155":"http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html". Released under CC Attribution-NonCommercial 4.0 license +
+ + + + + + diff --git a/doc/Projects/2018/hw1/ipynb/ipynb-hw1-src.tar.gz b/doc/Projects/2018/hw1/ipynb/ipynb-hw1-src.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..a0d469c37377e1ddc39724a0496b8ef4e2121774 GIT binary patch literal 206 zcmb2|=3qE0))LLY{Pz6$EG9#N-V*OFzESp`3@4m!5 z1S?8q!u8Hs#8Inv7AeyjWB!l(!&R#9!I;YOK|<%-zeLb@DK#@9 zVK_*6QfgC7(khcAYoiC}6RP#jgok)pRebNQBZ(2!CZfl_>JynL4`XcM5cjf6tSz3! z^Vgv-leGKypF{on^1LApL2g835JW}5AQL@R+RX7M3dEdL9*fVW4b|MOEHkpn^?_BX z(VMKzJ$4C@g|r`7#b1kS=0%w`?K6Hk_3anetMaJ#wpQ+G5kz&Co6eWAo9{Gp;;xg) z=uC-;D4nEs{=+nHmOzz;@x=6$1_{qVoO2sN?pjbyJ;}018mY#Z2d0YeDf1;-TYE8Z z?*UH9%;o+}bQv_#S}hwG#;+8qm6tfM({A(_wlZdtEPh!`7+_n`%gLBNkL7=VYx+?3YP7z^Fr6g-I zWk4w)Ne~4;DNnx!Gb4;y15l#ep~oQ8j<}S?n*9YM=qY?alt>}o&v~V%7$^d>%`gb* zbASm~TiK9aUG5SDlX)RO&QBmWo#@)A1)qXVVcV~nh~TI5Q8(Ra>--z2w-iydwbu!1!Q!>mo(=wfMN^$IcRS&xN00C^Z@o?AmR12i z`Z>psuFJqyCOb)ye=X(TE#X7lNT>^7)!0K4_le6z(?p@YGEDvg!w6*k{Q&4fDm!f; z$-J9(0lNTZPUl7r=Y!nOkZqIPE&#(V66n6qO%piHPP(+Vwz;f7AQA)wUuam#Nf$z( zEM|W&vFpkA1M+^-8RUd{=32pmwq5Xk?_UeHn+8d`CqK89UL=@;nMmC{7-$9nT~k8! zDxgzA^i)o@G<+I|i6dK=7spOmK!MD%_H%j}fMmkqF`2O;UKs_JFry{q{SSUxZiyHcTTi{Cep!1sprYL2a|vI_H^urChj zfW_(IH3XHY2MITB)@rRzdFE(Kt!0cJHgOhs;PZT2ct9~f_y@2M;xY>Z?V8;|gTvUZ zB14x3>oyEFY#}J;xk6BWc5U3zlwL1Z z-soX%dU><1C_9q~JcY(<%W+7?kc!(ivf-T;kRRC0Agg4S-F7{mX(+g1#80EQ!7weF zoxbLSAp=)a1NAHx*@8WfO5B76t4SrexgBeS@%XQCT;Tc=p?>T9<e&1fJbuGTB*RU2x*FYl>sZcpoE*P!!duX=4>*otr|9b=|zt zip!9LVGw{GO$g#7Ds94&p(6R>&XdLLhT($5=kctMfi+N9vtq%4yrnma^+)MU=0TNA z@Jwy4H@?RRNT(cK)s}AMM*V7QNP!`r>Q99}>l-^Q`}$0T@}y#}ii`a(K*v(y*s5|( z@6EFvYSvJxLM_NrvIf_|wEbJ?Z5A*%-pY4vUHd;0m+5Ipba2oRuy*Qga7Z5OgeJx@ zF1@>@r1Gnzth>0tpuKo)XTAh-K*op!O3B*hE4 z53+`4AhiBq1orHIRw}T;p)vE|xSFb~OFPJral}654}-BzJ*NCS5L19W%fzrJsJR6} zCQ>lS8jwYL>v=fL6it-jpG0SNzW6JF-{Ab8LT(K!s+KW-_J67W#D%UTgc)@v_qq8G zRu4Y0_ji=tG~g*JDlTMOLO(0>yR%hh;Wmz+{hG8iOW@#HpY;@DcBviM%&W?_+>FdUs;+@opTn4f-frcU}0!_}M(M?)Ns;gaC z=n)fOK>2(O>*3SwWs%9Tou2EG)$bc=kbQiGB`i?;VE$#zI=IZOwR`45|$&05Fo(2%ZKwdOTKLA?xg+Q}og3f8cm5 zy*5y$b|(KnBKZz$BBRneYg@SH?6{dpdmG)Qe_q% zl{d~yfZSSlQEefG^^AIcBy?1D5gz1r{~kW&V1ZqZ+^YidEmb)7WjF^B8v#AqM6(Gs z>jcM>QXk&*kq57x3vl7Q0YpoAbjV`!W}x%tcp^kK&+c%;k=XpnxDd%q79$S_3xI*w z27A+&Uo$We+$6IFkv1SGw^$!i9V)VUER&f-@`()uEr0YfYjdy2MdXileg&8g6>h}O z-25C30J!ejKfdq}$Hv}rJ#2-D0F}(!o62Ai2+$lNgXpS%zj~;CO#RHB@D36LaafS1 z2Zeen<3AYSLh-#zh*#QK`sd5DVyn*T{mIkp@dWG(0@T9{^LZ8NCw(c)wYAi2 z&J`^`;vnGv8pYIb*45PY>LJ1z>@h@k-U!PiQyg)aD95^#$sXgrR4e2BoR=gvdoZhh z7G4=H+%lvM|162LPnbdg{LJk!AYyI}Js>J?6UnaSS(3nj>iR_iVDlTya5Sp7|gcjAEe>2sB*h#lj&5`{~9pE6Lxy*mh=TZt02zXo-3dMoqULrRd9Y z;Sik6zxY;Z{if^4!=-ZQqs#K;+|c%eC8lsdHJ6c?q(P2sISwG&*0$xR&M`kEq6q^U z8xX>L4@Y|LT@d0ROStXQTH_}C!rHG!To?Vx6u@Uty(gv+9_clExOX~OAXMYp{I1Tg)b;^N48e2Jlq zCYrFrAp27+wV2J6dtM{xIMaV+I2kKw+2U(}r?s8CvM zu=y@HBr(1Rf#8jH7%9{a8DW)RN%VCF%rc^0?sa|`&s4~BTl5@#wdQ6r+IDF?FW8tw zDnyK_`k$X0os@N)Ym2nY>(*YDn*~tzZRMWfi~ujrB_Fxt2h&jzFjlr8H?Oeea}DZ- zH^G-f_4rgs2GJMS1#i7V1RLFLCvvy0R%+d!FlrB=^77ot#<4V^1`-!4SdGb0r|YgV z%=1e8SSM%;$(O@C|GEHQDIBPPk3j2hO>!b-^P7!KR`d`zWzaLfE+;~li@^}sZ&o^1 zg{fs^xsOg&^0Sz)tX$z5>7xd?%O3lyti}L)AlTF#KTjGKoh`{bnzNk}PuSj{8f$03 zX>S?BT~EADoguZ{+4ycCU6~?<^69yEq!Ui2FlNK&?{Vw8Z1Na#Xv=fOD!yXp0yY+2 zx%c;C(dp!nGT|deuI9Ua?`9&65OSfh_~tk5&Gj4%Q2w{zw?W&s?aUq9_K+LvkqnuD zJ%z$6_IP`|KNw{D({#2c?R@{?iB){ZcIv#~8yFI4*ur6k#1dmlqQg2TRdAQ+U(V8E zdM`_hb7S!vjSF`oW4w$Fh-seTCla2+7ZzT%5XtMjpc-@MTAO&jcHi6`_tv}0icsp$ zPAc0!6`m#(dRa}6w<0J>nNHqM5<0_xe_Z0w16TZ^^!cIw%{jM^>i~j3+|pRZ;;?Jb z(4QByYT4QlHLcm$ybR!uLdRaOa+pkGgD%?j^eJrGa2DvjcxchQOXxuYf>ac65&d&L zSFgI>Ya54t^*hl2GKEOy@1izf=ehkW!)$G%>pVX+krhpq__$*+E^5yT*U?p(8-sxv z0U_n+(@MhuUZ0<(0F^_6uDB1Bya+Q6z0|fP%zqld;ab9>LSGnY4_`s4mt`1eyh zR?bC|YD3nif)^_+hW4|p(Dl}4H^>#e6y0iLai;F?TRixV;f8UQI5*7`x$16pVB?@T zc2s}TA3*GTzmdFquQJ%g&BZGq1q}KE*i>)@1m)>*rI-VQzb^38-&T|bS0Y&bz@3RK z5fA^{iy6nbqQGZ(&`KG~*LNp?W5C|Sx@vv9xoYt#t!vVkq)SkC$`tBmp#f***z%1J zSWDvDOx%o-e`vOp1 z>-eifSSO=lMTU~UTa}?;G)yZ_l#vkFFVGUB1mMV5VP(I&we#!3%q|vTnoX5{=9wwl zc{m*^C!sP##3yM8^l;FQPb540SDbJ6EBa@fRZYBI0>UhXB#JNM0%UWHiE>sq!(@PV zPhr^jLC3gJ+JCUD+Dww-vS9)b;+IG(#m2h=kCAN(_T@=cJkey4{D&;gET!-y?829QlP+Zv%Q@%H&@)NpG~LIU(HILM6x)`i66#dg^iJ%anKtF13RU>DRhi+R+2{49 z*gf-J^|7WnjFj*7M&oD5Ae)Dbz{4ygnFd)f825q@;)UF{O;Q!@s5rK*x2iH+9eRyE znl)6n!DgZ=ZGNvsx7Wz5PqdK46z9fiTn2Ue-vfK-IuymgnEm9g+XzOsB7yV_+a@Tu zG;>SVsA>*GxG2i|8hLL^c-WPFRd@Bw9SEJO+qTr8cTtTVPRU$!>*$ZQZAFKNNN}WU zQ2O+b;Rp1o_D#U2EQZK+H}*{1xf;bMX#KkXVD&z3gkdU zti+=4m|(F$gA8(U^M4V$JV0K9fPSG~DurOV0eNr%#N&hKeKPhR!2{)aQ`}$wp?ly{ ztnpW%l_HkTtB%S})n~hafJF^>;f3arZi)?rk}h{Bd}_L!&s13%?{#Jhu0>B9sUFUx zA57$)GBKpcs6E1T*t;fxpJFO94@ z;e}64!x&{A0aO#@m)pFI;kj%7n~3AgW};sNsW?AdkYXrjoQGgmvk zvGq``>#|MR3nM2i{d^n3imo-U$Vl{31O^Pv)=j9)CU9D?J2Hk}2j;8IAV_Mek2g4` zD4jY%^6(sY$#l1XVgE1!^H(!%t3Eg(>b7omMZX%VvtmzlXKN6nd4t2U{PWSRyTaXc z!`|K2#D|9UqCl~T5_E@Rh!F&&!HjUM(WCEGyBW;xubl;Ta*7I-aK6{lWs80XOW$Xk zRej&DvYCoI-_c(m(Ku>gk&BQ}6B*qDQnz;Ou-7{|v zkP@!V^E>TfXf<#M&ukys3pT9=I5G7IxWRQe1u$0^6`(6j!S|A+9JIj!H?#-jBa$;g z1+Y0w@8@2I;ALU>iD0W)sYpc1Y)RMj|F~VzeBGTAP=jJvZR@jD`NK-wllQ%A%@+b| z?YcM6^S@Mcg|5UW-Br19LsmXwh3up6+1xx^EwjnnmXwVNL}8#7H=q4Vd>rZA9A>#2 zE$$nibFbH|w^6Jc3f}AA(g-NRJyWOM4u~Ht8*-dy_$(0N=ha))XBhf&WaH#zf|4j4 zCuU7-c(a|{nH=KX`-bGlQKlDlE4YhTz(DoDaUuvW&bzIYPC^o>9Hnba-z;`+j3AR~ zT6Rg#SeMCI2QaWwn6zyC(}rTku8%Vo7g^8$HYs0E^n<`8ZqBbNuJbe!w0PR5TyMVo zS|V1@p(+-_wM!=T0IWyYo2yidKLtY`B7i_3yHDR*vLH;#A`mh*FKNFyj}XKoZbM=y zasckH)xdGIyZnu~1Q;3LOCXadaVwYMafJv9*Y zkPPW07*Whxzha8AK!n`i8cqS$KzJqu_Z4o{BW>=l>yV>J1ebbe#Dc8Fkv|4d`YCuH zk|2>zmT1R!9&eMZuH>#!-ea_{3ZKrteD1cC!*dz8Z#>TnhIUIltlFg++Y%TvL2NCrjNsUGhsR*(h08VH-;oF z039)+Bok6#`2&q>U^)NaD$e%5Gb2UhAD1okAyeBh>~p#1bkjgB?puNsQg263`Y~7~29EnG~QlH!y)QEHE;KHWt z*aXG^Kn3>&bjJo0*A@m2eK8=ISiu1)^>#sQtaol?XJ>K#Mh?hGe~~ZZ+Y539lmsT0 z#zqI1a`pq5z$BC;7XpuOws&LC0HUxF1Q5d8&d1?Y?9$0+^)kjr|>alK(oU zBPyaPtR|ovmi#e;0}%IPTHG1@lHdGU5PPeGy=!lFRY&&3zUV^&pqRzQwd!A7=<4X4 z%jDwVT-aR8Uf9(BE|%Mv-2yl?G_-+q_iX{!2Kb|nLYjQ*$%!-X_W^xtA_X*eAR-(C zd>@fmJ^d5BdQZhb;SU@={zHNQf#BTO`kNqpx+DDhEBR=15zKzewAA+Wz-<4%i^2@Z z!P)*(%>K)3O@tjE*dACo&_@geKz63y$A5wIU!BHzPL~xEP!m!Sk<3*4?0FDqW@5Wr z0bJnhC*hU}csFp*z{&AqW$9WZ^96M!`MH|EPe@Mp^m$_0c0AixbUzcL>4D__;e zbrPTX5dYBwqKDVY)(U_OObuR;-T`_41G_sk@L%KN(CiN6<@xQr--pOU%-z4fJ^s)$ zvBwVet-nAjK*k0z>z}!o`t5!GmzIC{Pgd%qS2)&IK+O)oxB!x;rzZBun_1!euW9U; zJiQ`0HMJ&?HQ}%i`m>J)*xH%8?eFvlUKI9SoNDARyy-uo@1UO7*xgMf$6xA001wc6=a0w*6rlfP_cE9IiCqVH zUi2q+1L&FdM*v3-(0i~ShAB}0#BKmMPyG|i0q~0bBba@o0P`<)rw#k>DqHYJARg*s zIr0|}1K_>qPk7-ij_i2a0~0%S?~Gj83vmx5W0QORgSfvn`hzWiO_y7J%p7keve|)oig|`ULZcQk@}o~VQI zy{k>)*M#yJU9NMaQ zn*9|mBr0;-DAYGM*e=sVh%h z>}%Z^MOl8I;=kmG7HMsD=R#d5bIfdp>)Lr8bVUa)2Xu1oeq4WkqhS%OXDAxQne#JH z<5;P|^;efd3nlV1%BvOiS$wP^5w(~711)OB00dQ?pQ>AiC3He+5(tgnjW=k&5@I(T zi0os0b0{jwbiabd2Cd2|_NOq!tXXB(M;Zp+%n|tW@W^@PAzkID*ZTs3Grog!7Lw;b z7lz6ra7t~y(GI8R`>b4hecWUifPDBA(elC0#Hf1nOm2Ub;3>L!)XxwNsLpVNbtrKP3GF&x|Kos>Lk8baLp=7uVoi)V#>_n6Jd(Br9GGH3Yb>wy468 z?M7esqFI?wRf_AiEC@R=^vAV3iyJ7S^C(cWT~wffWB6OH?IWqWJy_PI!wV|*^u@(aH*e-ZRYSC zC~65UhnETI$)NxSyxUuxM83^3b@6X~1VwqPB7@rPMpgOp&en7kI2eR270YI zf)h3k{&fH)U{}ZAP_Ct&Wse>d9HBSTkF(aGbwC&?Zsoqnx&8~StiJS_m$#ifknZkZ z28AlEmC6Z-nYP~r-VP(oO?>*gkxvCT2tgHPi!U!Z_?uU1TGD_vXht>(tw5G+u#Emk zly!8#MeyPT)3@-6A?rI`iK}3v%3`8E#I!Inan<(BASL2Ug>CxDL;E32JB+kpc07cU zs#{9QI>~SAW<5``d0Uo;1=%6*ABMUx(Oapie1ggdr~h!4xV*OWknAW0u?`CkGicJ& zHt8AR4Wie zVuY)bFO)d~<)9F7eT36%3vDLNdx2pi1i?lX6eV4dFH_R{kxq~7d!QyvA})!I1qrN6 zG?UWytCNTV*|@6k-AC?2kt?iW3`x_&u7hN3W`3_KV}ov-7<;ik#s@-6l0H0=#C?$! zbQ+mDO6rud9wzHGHl}ugYDbndk9ksh`6M5KKeBob+wP+$OsBdHR=0D3a^dX4V8spD zGUm1^LMpCOJjAO~L{c2UxgA*c?9TG&a*anrBnvBfdlMv%%93kMt5`R0WHE1eOpg?l zz)E<_DpWlWUy@4PP1Qwkpib>Ng4)^pxr8H8@!zNTEa02oUZl9w$qamIvXZ zhwo0awvg@lnQnSrQ9V}Xz~{`4BYj-_~nrXRf zXDZI{IZKcZYcMoYvYpK`sdK#X32EM)o>7s3nw9gYNjPGr zbbK%YAk8zcL~L7IMgvI*x~q-J>+_O(gt~C&3xsmW;{gQivjZ(6->^DmXicti*a(pr zf3DW%zWA4Yn$Y+EOg8&%xAxTVt8`io3(I&JRC!`p=iR$;ZU~3cGxPQ@%M@5h`M^FX zj|~C+mk9oZ-Uh<=y$}zXy_Nq@afP=OHY%OSJIlrOLAC7gG&<DVV_U6)GyYQTj`hzOKGoE#Wih0XDb5i;Y|J&+`$0_PnvLd!wyw~p_!q^> zL(S79@6vtJY0r8~&P~VUzx%_5x3YYR1~JYiEcd-Ix(tIg6Zz2yiZSqUD$X z(ac`^>yrx}N+baoN>ik%UNBMEJcPoH1(Wq!fn$(?z~TX5e$eniUsfGbu$6Yq#Llr* z8Nb=&#qD1=F0Q+p(@#~vjr2pd7z?Q8JU+OgN0zd2!w6sV80e0@*@t@UyXoZIjSj0c zsU8QAqX7I*9eZ)3HQF#XHoGwnedTRl z;Q=A)?1lOM+Tbd(EcJbC>cEmIJ74J*;$9Nx%(OR7-Q7fIKMn+fH1a?2W#>2)Gk7MP(4$6Sb!`wMMdNG{=UU*o>T zaqIahDC`ufUtIWdSg8SX2A2PAvRb^%Ck2Xd(do&2ruEIdCR3e2?^-F?FGpAV7i8IM zqhIEvJeV=+jscCLXQ*8BsDZorMg0Lz&^=Ifq9-UrSy^#lPt0x+=G{EHGCIyq_D{%xEZYfv$zqg8Jyy=2*O|_9H78B7}srp|w zT!A>a-u_4_IxJRR99jTFv$I_8t3nJy@*DhkNKw<89x?87bDg_^b2ajFi0LsUj2 z_DQ!M7MIk}RCQ}ouD!=FOcDCJr~xT>Vy5WWl(7rJZqE|sFDJ8~yH7~%k-DrSU^fdM zRNKz+*&nHDfLumIV)wu~q~3?an^tsgyNP8Z5& zP32$%&}L|uYw;s=2VOLmao%l08RsG&KC06+!%apQ8hAm^%CWag`D}jOSdij|{nQwG z2;1J#`#yyfo&d}^ZBw5;nl~&_J*tceEFc@Us-uLwg0Yqdm~4%$I>MV9Ow5>M;UvjS zcOS|eAnKtY?9@ox5J+{CA37Yj*y{c{mnWTff~voY$0I~KM`{`6mhSQ1G*2aYJLbVF zsXr2vXQMeGs(15eGR=Kd+O+Y{jazD(q;*eDkt+w&T{mEQ11oxaL&H`L-)hn zJO3`Jn3f->P|vHgumas4EEt0Cy+ZM0j>p&IuLo7C(fl!XTL=%GWPd-;Q`pitNlk;; zd0^MZJ)T4qpNf^Q`!&ZI;1#q`WSx6qIWeTM*u1}hM+F4%;V!ID|7{`$(zmJ2h8%bz30WL|)`ewzqEen*&m_ zYUGvJFQnA+ow?$Vc8|!s(bFwN_4;rm3V!AT1NMy3RSn7*-^&azII9gXFdUc*=?wY? z@*MDWIenJ}HI?r6OS4wge~&49aem_?ck+`q?4^`9Me#EAsi*-pM&;W+u87hW%7xU# zdq4d2V;PZlIKCKjYEAu|VJDaos%zwWK!dcal{yzb&laI|CoxPE8XH;{h#oX?Tf!MF zVsK<*npGua*Ci=4VCA8m-s_^ndR++pZzmL`h`BbglVMR>EtBHFiRp#l z6eX{C@#yeG{or8upes(dmS&DalVR+)EAu<$`=636YiSpsK9D`lz<6>G&4%?)Ppm(& zAN%n3pOaY|u?#SLD;oa!H|)dg%JU`#+o7xmXd}3#7){yziji$mHXR zt4IeEue1u*<=#j4Ry0cq1W{CmR&Au`@#uzYgj1M4Y0#+d@%g)lgU2O){5S^z4%&y2 zjCDIi3q=3HPQi^}q&A{Ezu|RoJX$%eqO1E1Fp!qhto38g>k?GtsXgj2sNQ<|1F+}| z$2aA;6z=IF-Ej0xR_Kz0J!MJazcHso?OEUG&F0(Wm*oPzyh)~>@Z?sVy) z&uetGAGb#6ZB1}_<%v$b zhBfE}}-IxfmkR&WTO43tN1SY%K>NZW-*G_+_$ zu0~2Tk^=%ssELW~UK4zH6#f|lz5^EX$rmunxso+R<&;XiZsjYN{%ic=IZ0m}cbl{C zpaGScvKe#U?qqM;8xG+Iwd0P+Y!VU=1Hc)PF&Pk#*7h;LXT0#*Qm`&oA_R|n=s@L0 z$Pz_A6@xs!B~)lZ>)dbr&gFlAa0W>m3Scxn_vS#nB0f%movU^|LBfdoAQjNlQStlH*7uK?6l8PoR^pR1+m`E$v=6OHoMLcF}~lKKB9Sm7*Ld^x1n0#62xy;Ch7xekqtEeBC?yD zwLW98&RcS%*l=vtG&%n%h~Uc)63Wr`1%eY|C(>rql0fRO2J)8C}Sa1F!GjnLzW9NH2&^qbDpLZdOD z&gm5M)4Iac7U4$BUsg_rLqMw+~M+J@ za5rne_UudJfXH+ zEY?`Lvt?R;Gdgaba@XB2q%-@}W(_fuVusQNwJr2w#wt2Y?`XM|oVWy)`-rq85R~4y z-6m+I>N?_bl>YBiPcdQ+1$G3r(lQcll&Mxv zy5O6&#YAy86$@t@)Dp&fzsw`l&7k;U z5(TV;`*|J8z%8gp4OIM^8vUn>NSiLPY)WKjjqL~2aj=ul66#h-be8tDs3gYr)bc4g zn{tS}kgKJSn9J3oWH597Y*IAn$(U$3{;J-*BbA@9^|C8anzdfieH-~~ zr<;55-IJe&Tl!**;R8v8NuK z(n-hR-s8A1%}cFUZ)k+53r>d1DS%B%(5UD!vV=C%SsfN9-$Ev%`D*3-FkITimLkE% zos%Ml7t+%bBzsy_k!C+m@huVZq@{g+9;le%yC!i)q|>sz8V7SJ9X8Ad_RE}vl)Yxi z{W{l+^$45ixifZyYc2!SGgS!A*x4c|c}O?kua<%II$9(CfwCy(n|bz+=o^5&MjMaz zdXD~}R|4w$KWy2~40Lw5SW@*lqQ;FE*y3{M_xmgT2+)x?pxvZqKSPKZTs_Ojn^miEg7IXW&xGO2CSH%g_eW>y(&viHQ-0Vj``RU~Ab+D?`y&M8|6% zIb6=%bCHx(I^iFQapN7xu^ef9`jgubiv(-+dOU8~w!t?}pAO#~J>NZV#KZH)=X3ke zb5mL^&|=XnjOg(XBuio854Lsc#w&OlS|Af>2#p&RXv$_~$numQPRVj7?@z{u#E(Et z@-TkVZxh{2X~@OmGYG0P)+b^VUp%zAN_O{HTD$r9{)j5irWJ6`-FXt3&)5oH?Gom@ z305QdS2O~$=JQdJuwcBeIpnR(uyEHdI(RSt(ZUi&OW$nTj5A!ZG0hL4$_VS-AQn2) z^OVmI3;d%4SfNGbBNl5Vt3_IYQ|L7);WTaZF#=S4v9X&vQYEAOwBAi))s7gzQjV<6 z9{Z|WAz*TYQ)37xv0Y3~7-22bxkSe5@sw<>oqg$7ISNc=aaZ4(k$)MxhsK|t+{u+J z;gbv(4!P|~t&J`E8DK-Erl`9)Y$3%vSrMziL32{gA89#t3Td&9)ixjZwfRf-1>9Fd zsgdFWLQWDWXY-PT_E7<1ruZp6x7Re09t)c@o?T>r)|Fq(rW3S|irjmuhwtS4n+C~6 zS;S(A`e+QYA1Z{cvMs3=#NYg-={s4XA$vxV_WqlfXjH^u^As1%{|Tu)_|)OVRg^)$ zZdF^4K#+fZ8}}R5Q=#5vN#QG{adgKdJ<)^)ATTz48mYjj2zN)gEIbS{FE8G@Ltju* zY!h^ydPvKY&j(!^7k$51Xyp_!`oGa14>n3IZZ3%o&1C~^`k>ooCm*+%C`<^UDAU1} zA34G}z3j%YyBjY#O2wJ!xq8$gk(snZ*&pZf(cp=^EZ24hhWfN(B|$0M=N#h#2qvM$ z?ivcsBHB_jF>9S!FRmk5-OePb2?G6f7^gp(8+Wei=X1xxhQV@;5P3@cbYqoQ;CW5i zUN{+@%4vh}3W=*!gw&eeUmW&A7S7DfV1`Q~nw>z}D|nOeD7ar&Uga(U{u*60y8+$( zU>PI@kf!H%BHnOOfew!=`rn4$TonJpIA3$2E-f{NHLXQL-?l*iiStfAca0DxL@x`g zzwg6LvoP)&0^X8xwSEXP%U=h=b(53TU}qb(b>k*?Ki%T8AqH)l)a41uZEh}-Yik>o zzvIVv@@S^;1&jza$$D6BtV(ECVdX-b7?DUKU|PayVXW2Xt76R|qMxc(2VHxNCi?^s z76?{SUWaDe5+f`l;Q8H)cAGBeSL~L2gM@# z7lkD1uMLe#&|}0|JS0IHuQ1+}{4}liRX#8}kXLIVgO5MRl7;-NS2Eg-!3v8|)93k_ zm`1SMTiGL^3G7n_p=OSJR`x=b)vCy0)80W3R!H~qe+BvIH>;71@g38H5>3p%mNw@4 z`-eR<`c9!?G^I(lC!!A@P0E-je1uE2sl#?1d}eGq`GT{Xg`-z~k1AX|s}92xjyC6| zoTb--u!y`fBl?dhE}!HpQIU8-Y4fHCK!N<<=K}2@l&n)w;8>;kkCX++Ewd3pm_CW@ z9-9nl5Jh9#w#)q}{|I5U!iUV(D@#jU#o;u}i;D7u*tb_%cSBS1?Wr$PsmY3iwxm+Q zXVjs(>%b3^cbS}-jpBX4GR;9mf(a5~2(0TuGZ+Kt&qI0+tPCq^o~XQxVy<;!Ga0dV zgLL;VXhSOlOj;yN(#b5E<#&}ZV&VRUc!KC>LFPfz86)iI^92mj{@zed4bg^%6UGyF z1XC034r^^WJj$~s49wV;{#AFg@|gon7M&o&8RINyGF$M~YO#n&2i&PnTNh_1Y8@OK zWzuK#aCw~d+FY-i2*!F}FaE;^tB>GeIseBTOVlYiGmH=N_NuQ|?T-WKjQmei`hN_< ziwL)GJ7C4{;kdf2Hs+SqzJ1BQXh)h6=#tkGEepV2!brr2yej-8xnf4fGYbuWyCq%R z(3>;l?<7yTA9-YjTRVtsBaONR@3p1TRo6f`yuH8Z8|B0FlKD4;_Es@FId`Qx>>3xTnGIq`Gf~Ln4ekA;`n$0_8N%cbc02P8kL6?I@Mg(r4M!%aPQR7`iH##OEw&b?5l?C zbv%ljjUiJirr&5O3*B5zS#n-gBbiy~smwJv9SvYX?)ltHKl?j;-P63e1HSs#oe~%2 z%?|S&+Qf^VD9i=_9{@c-!oLvOVC<=0BN6J>YanqaM+%kM1xKO0T-+d+^%;W{vNLFE z`ytx}{iPVsCPGGr>H5AKB0-OmBJcCEhsg_0^;j4+Px4ql=7FJ)I=zW6w#iY?nC`2B zXtFlw+s6p&2$d|84R&}4tT%W~QpXvrNbjoaiC>Wh-JTQR7uk>*KVQi za>2gCCRfjfDaLRQK9A~42Jv}e@uc7{k-1QHeIClL&>Djd~6Z=dQA`& zIDqT~#ez*Rfn_E+kmMmSwJawJ9yVgUOdH;(GX)sB)A`BJXHu>v+@eQT+Qqpmve{wm!v9nl8h zGF92FESutubeaRH+>yk`4JU3lBEucIHMMSdr?&DLk+^4>=MR@_5PxI@khP|Nw?bGi zI*Ds+z8IM)T4bdfyrNhaZ74V|!j>p;a7icVZ&HI5ZfXtsP{Zy*p*~fTHjN`w!RA3U z+k}Jr{RfsG8@s_GtCa+ta)>JQbv(Qs$) zqBl5RPVVTRb?21JuA;cj4QG1ZRvw7TaNA=Q#c^yg!rwmpsO!l%hBeNw5XFAZEdr(&CNE`BaBTu2_5g& z^E~0)8r+j@?q*=PsqiyAINP_}QcfCsL41}q9cHdi7roHgNarCEqBq&Pcah1IT4~R8 zwx*i*E1)(m5wN%+R4_>#qu0rKW0_CrgQi=QtYvJDwriPr3x$d*Q>0jf5s#x-zWv#q zl0c;fjAQtT7+Fhp)$uj zQRX;&tZ$wnU7SDyuYv}IITrVq$tp*zi{^UbEIlr3?mvXp5#-~4{a(fUyecns|BSBE zUl_W<$F(IwPx5hN}x5dW4wxq_%d)hhi?nC8J9*8P?vyNYhYLjM^ zg?#w@q&?WOuAqrL8c9Qp#|yMkso@-->mTw^x9zGN#jxNJ!8IoZ;X=X0tBnyY3MGfV zD!#OJmKzx}%qAV!*RUL!mUud?RZmzGd4F~7xr87P9dQY=fX)?OLm2ezD(9an&GXyc z5e7`X_9K}_^wZY`C_7!I5Q{Id7xk`rk^olO0|}ge*_t1HiY&W%LVo@dlECv?|07uX z>cviR3=j;fvhrIwyrB%kz?KGU#WH)as2#4ziTt-)@olAM9)F^E-;+6tf?2Y_1g|9c z8L^jB1plG;bAk`(27k<8e4{Uo+|J(#M+m=6-2A&gB?IIT*8n>vIyss1UT8`rOLCuo z&2z`%>JQJWk#>^9nfg5?S45WT4Ym@0Ef<^83oQCP*&5H(YZ>kg08*lqq;-*j_gB>g zx*MkF1VaA97`F=Rmq>$*!#9F+uIz09&yPVZB4Zv=K#E$#xV-#{*!NpT-sNR+k#Q^U zSs(Ar=3wfN5^xl>62~v!owuiTdPyaF^5N31j_ZKLDf@SaZm#{Y;p`-^c#lc9rS*ck znV#H!@nAA{)!V|rFCe?>EHrlId#5k3>n=le+PV4nQ_kx*$@T4tK88g~;L#~LT=r%P z4hfar-on774`VrBxoRzI{81WopD?>Jp-PfdD7`|FA zM06Gsyz-r9=i{H>G4)48dxj#ezN;W-=2|70G3tIZ>=7z)pS`)vi;VotyfF{`r8t60 zYGI&5kfeCa>itq3Gb@Vi5>&VH(z$`@fXvBh!GL*$G~M#e6|lW8H}YY?e8j>mQ83Mw zyvi>YQBI?Yim{3xt3n&?8T5?l7)VLuTq2$??Qw#=;Qf$o=!N270=I9B}Amag*r&8@OhxKGEK;Kbj*TF|1dc(7k(@; zwrMK(Z0VC$U8^kv9}O6&lvy(t1QW?uI}km&y@`|y)amTF1JxUny43oXCv@?9^=WYR zcVE5LT!GS|>r#-6w^$1Y#z`Hv1G$HRmU3sE-eV*E0{;=5k|32sD%L!fuC z8BVh*vWukC6@Y273HbQ>vcQ*`Ot6C$xIpxQ>BF=kD?^%J>oYRaAPM_Ws#(oW&9n== z^5Am%AW~8t9`|nloy?8f-BDvFLR;fO%92Pi)yHgoMh;&#>foroU#bmFCr+zlha_)z zO^IMB`Bk&l!~y|Ci6ecxxb66>D?QaP6MH#KE!qXh*l$SZWi!8Y41{lY!q<>iNns41 zRe068MH5Cp{*WrvX=eypM2e2E*I={GLL z$dA9nLYe=xl{EZ?3Y=@YqgJwjOoClY0>3-P5_022!GnIVM`aXg7@W^LKW^w7-E`=( z?Bo!ZiE}S$l~fGMz(+3aL8II_`T|s~EnAgEVxtihLFAM;@*Jsk@CAHsrr@}w;va@+ zxR^q8m>4F4{H>m@#MZLWV_KLeC^T_##J=Em^^O9WaWWh0Pi$uo8gi-i$Hfl_8@HO; z8BE=+^^r$+2`)o;&e}%q)|d`f%o$qGLRDgFj!M51DvcAs^s?RBaVj7_lvn?RVl)Y2 zkW>Dq$&VWkw!3(W-rXR$BA<#^Yc0HyljxZ-gopo_J2Kr4@}q#6K@caps*FpDcu6S5 zpRh!d8KvFs=z>b@Kw4NsD&B(Y@cMzv?JLLv~ZZlcqzhDQ*`HkwL$i97*8 zW4Z8C9oukto$ZiHE(PtLN2SXzr`Qs7yvm$(vOH zVr%H^W~gLc5n(GT6oYSD*tSBTHN(Tt$dE2T+fz0*eXGbpN$`fgSeB?j5TM0KCE9tzgh+CP)O-q-hI6Gx={l zz^DMX^2lZxh%UZkVXMD?3E&wNrx>H4vC@KcmKUv*9*g_7@2grxG&&hhU3!v9?Twxx zWVdo_jSK_L^EgF)GZ3_~Z<%k(Gs{v<5C(2>zMBw=5DmV5HgCJQC3z+XQ+M?&S!3v{ zk1zD$nRzQbV(<4jDqi8s*lH31V>m`J;ET`OU0P?b)%FR`Vj$Tw@o`AQO(be6%kQ!e z^Fka9da~fFUcc%-$&Qb4m1qXJF=53^6em4*HYOaR_c`&mt_4i-vKWD173DDhVn6{Rms5Ek)`zl>|>O0G?fJRR|bztB6{h~>lYFnGbFo1^Mk=%e+nukLQ= zQL-apKh)F}5ryP{ITu`N8v6S-;xH9y+S59a?J;fyt*Teo1vf%;EJu(<58t?XEO;P- zMd3`euFW-tXGu<@Y-$1dNaHNtpFWl9NLO=__2&zLb)5{_O&8R(BeM1TMGe5Me3zuAmG`*4p;EW@va+yr=K314k!9RcrI;?7IiPD5ZE@ zV!2!8Q9dp65;wfCaILhT=vq*A$(_mRZC_%i5LUN_|TX^(5_Ng zdJ8fCb3{^qmqK@O4iMSa;jAddA2_$N6)#Gm7#4Dtw(+s6eq@EGMSFWtraIf|^JGAN zSeHUI*U|7^y$D=zY;@m&c`$CBfO7Sg)~W|}vS<+rcR_px&CUFJ$#${t^^zIHnzvM^ zuR-{Jvvmqu)9Res^EZKXiy;ec9wb>_%)JTvOQH#jTMZ+IFuwNX)L3$ZdljDxTbv>f z!1rqGLH*jck|qW)1!fXfvGaAT<8lQ;j=c{2H7Ln-= zl(5lT3EN|*NnBILe*AtBYQO(E`2lTyhMhh=$7J}rI=Z6z(Vj{NdbSrQ>TNXc-lC1; z#L+HyFYwedMKcpZWGP`t`Au=eF;a7wrXU;#o$opnI3)U(_?7{|I#nD6+%`#V7v`0~w3_~|)m-{V|4cJ%QR`|J*gA=jN zMy~5T!|!QWLRd9WF4(H5k7u_n7+Ezv4ekzmuwsn7Ib$}=+&w^~&fv zL^@DMs;Y1|0NqYDm5XVnTTr!)6`@gt z9K+RYBKC_1EoY(uvUN^Z=@j(fJP-^oJo$&q(EArq@W+hN|J^o-%V%yR(5keUxD>UPZt z|9Y_)n-E;HrB24vS~W;eNHJQ_QZLcZvW&C^^B2zr6%LOsVe>+fHAfD~Wwnc}9yG}7 z{$dxQRK$}IoBe9?3X)lALXSn@!|>O5R%Gh0Fu%z@r?ujN9Xoz6WNxQ$oQX7i<%gB6 zz)6zSTlj&6;79BfiC2Us`y3l^^XrQV55$-H7Zf&Us=Cw`3!n=iOW#;&%|g5VRhpT@ zb@~y4-vFMRRKnKDhx^M!-=Wg>TlxBLJ`{zTMVp`>k?e_`Y*lRaJ}HVWsF(;%u+0VR zpRp*+@OeHUV$8a;v7@=&?B}ofu|O7JT?<_`cq&qgoD`>*ayfYtlq;^wz??8HzK~)K z4mKkQI^m94;`m{8O;?PjeR7x091zGJBIlNbklSYeMpSakfbKSzcV{hg*2(Y^_Zooj zOC##R@Dd(R?AQS?y~9jp_lY*3rofbyrz$=d-Z+3LBxQI+Wl1HN=ES;uro{_0x&nL9 zGrx1tRf-m5ae6>2=&>+MpVZC-{u=fui8n~-Y((e3;0vGGYCBEdQT_I-8@<(|E0ziy z4UooWUPplG>{wrgviMVXxlc`(c0hmP!haL7H8!wZ)7%@qRjH7y{62kw-_4nU*sNYe zSa5iV_scab0a_cCFLPzequ$=@qTie;gH||d6;uMB0P?WRikxVny^)y{jlmI#UgzDk zHhDBjyn5$<-M)gRt<#d$+7+_Hv=a z=J~1@^fm4(zJc}i$1e2pAGSLMP7e121n-x>Q*o+_;TcSchXY%_XG+9Xs!aGR2~AS^ zb928toO6>R(U2YJd5*B7YU`7?fn*g6_wP-Yl{$&W`~l6u;5KE2E;dqT@)g?)GWtUmCYtM5}q%nAVZ;GO}aff^3I2qXezL2-TdvBvhZ)r5vsEt!Ew+ zpJ2(DWc+Iu+=&ECyLHbuNEPg&0&ICEpNH!K#b{uH6%9Nmx{s!Q{==7B&HUPjG;DHu z&iaAQrTGzio61B_dhJ3q#l>H!`3$xn4zo-z6py3!3ag{|RyQnQn(86HTaPW`ee@Q` zWuHg=E}e95)14SNK*8Js19RE+%b#-mhhG?6{xzSK5(RqLA;|%edxB(h$&fFvL?bMk zq359K)c*6wqBE&^bvn38aRrA~Wa4`|UBtAG=7H^Ny_k?j#&_^&`8lkZew(heRAv%+@H&M+A`P zXPbWJP6Uy!Op}C{(Sb_v0&W%x4fIbo1O)t#_k-QSBm#6IBbXkWZGPP5HD` zI%`)c-&cDvwx3m5r!vDR_l=rKWKvi`FZ(KaEqdCM>6ro4o$ z(MWfxzt6RNT5cp6Ic#9(E!z1Trho;cXCYpW<6j{9 zTlysMUKb8fgOD@z=uua%uiN%&Ri+AAzfW{TXz;K|iVAt>d#k-xbs2&NW$2V8MY^AUg?KGgigDZrtASV9NEPfnoT}urQb(I1m@eroMgov)Vr`WDh zfOZG7!oTgt8$V97KGcl@^t_>|tMf>6c>BtyDnLoSV~ zlx7(W8*2FEnp25fg;GypC;Z!<2WJ0$5t%xz^Jdwq3f`t|f{=0cnE?$RCmsDLTuzAU zerP!yqaJ??X=SUvlbtP|OX3H8pnPSQ`IG+L5nuUiDCxIYL!6k(l!m5?g)v>WOWO7G znG*>J*Gmt5DxZT463P)m;6cQBZO8V@ry{gndFBjc6E#^#irz!xb-$&lL!7W#Xa7;c z!6j&t--HIm&GBz4DOEzs1}J&uE%5-Jt}rg`VcY>o zl7PX%%I-PzM!Ket(xN*AXA8rS&GNq#+8z6%2@#Df3nth*6sn*X?Uuf?NuW+MVV)!$ zlM7<6{X~>%%WhA1YmqB4W?6@%Qz9I)3KjM8=Rdmxn9M&++oGk6WiPu?JZ9vwHm1O7 z6zWu&l+h=I9($k**SZsj*xLd0yDsw)UZCM~kf}B`9_HkgLD4cCV zczKbSq0!pt2}QX(h0yC68+hE$A+9o3RpxN(^*9?CRpbdA`V{)1?|QBoE0QM$n#=R{ zKRStd)(WB%^N5Cyi^N>8o3(Il5?v73q^~lMzro|50RwoF!#-62O?SJH0(8-isY7{Ps=IW6A8nb39 zcnr<>5KO##>^Q(OVGhKpctQd0ggc)S7Kgu6h!OO1$U^vWN|qqw18|IBzV@-iZOs zRG}`QPgTIF`B>O7u}%vDz@{9@=UD%Z7124T10P3n0gOGOVe#K^v3I(mj~R9Icg^ND zZcVl9h2?__HdVT_QV2=OZe4@k}ry;~#Lu3SS)`+U5lLaXHAo<;PZx&sw zZHl_ZNgRn37LE=oV@Ax)f|ZLxJ)5p=T$(o@i1t(Q6YCzC*1Of$agpCtUNxU7GTW&) zt=GOfNMvjX4OjXp<1AZ3r)4wi`Gn>+N9WjzgXyj={3AEVgB17zzi4lM7yD?8_Cc&w zF=y~i{7Z=5%5ASbj+P1Z>K+Dx9|m+@-D8y_n|vI_Ql{)GigxIF(nGT@GrFpb)spCMVm{E!Ui)#54rm*OzqQQH9&5Dw_t**$%nxejN z7YHT2W))@q^-P2-S)StnNAq`gGYCWtVMQ>R1ZzfNV0Z7uUDTPSWsaIBN@))fmQWca zjv5e5+?hmg&P7QqVBk#Hgb(AE`Sc-Mdwgk`1NlDj3dBzftHuv<&Mdc-)!1$t1R2>^ znTrG2!Hs2QqMI1PYEK=N6OgTHQsL;9&^LfpfthE=&Zfb8x>})b2l3)>17wJ%LMfa< zNu{n%Ppq8>0%sfN+59V7iYJA(+rm&3s+iNzR|7Qo{YJ2Ze3_mqQYBbeFwEWM)rH_> zyp@Wt#&pRTOe(_(%?6|ca`(L-iMVPj|V$-q6M$Qg?c9?|5E9MA&9b8^KDpCg1x3v1ne-xd37ojC`}o5eCJ_=ivUe%4+(<| zQ<>N5mZ4Bu0=D#B?XX|>yxl}&Tmd{XQ>z8sl=`2Ow*7AF_(k!=E}pE8UQv{n5bbh& zU4DNwnAk0cIpu9mI$fI;j3}&I#u$$anPv>+QG3}1aV4V&^TD3hCX}sA6YH5W;UxcN zUW<7L+uE7(D9&N;_~rph%jF(X(672zKXXP)Vw^lLgaW6L4~VhnQ*K&xPBeWu0h7WJ zc}e4^Kc$+#icQ^>x}nyV=#m`?)%Hpu_hOoJQXUjiHCjR%V#!8(mZS9v4Kv2s9R2{{ z?A%BXRrOgt6eOa1^ix7?j@$MXcHzpd&(#ccEwS2Hg_6GCS!r!3<64?a$@wFzBtfql zIPh8TtK#>Wr6=*38IqfIju1-c+c$|N{buwOCaFt*y!2QVH zxZagOSjA#HKk zvJ3EOFw>n%uJ`vSfsmW_T(Fe7X!Pn43a~p2iE9PY;BPe&$7HsK{0NQ11FoBTUq#j) z0?@01ufBObaEiLMdtR)d(v4~lBzy<_P>q909NdhGa98ex_d=idFsiB)-w=7cBU2U<)qx z`PIPnpjANowp2}e87hC@DCcnyZHlMgto!|<8W#_!T)vv2Qpstp-3x}+4*lwi;@UIk znQ-$^l^JcaiyBiH=xEdLyO7n6@6ms>7HzfZ;U*7enb}3A5vS@jjkCyWL4 z!xFsV%X}*UtB12W&4;j`7`t+jI28f9G}~dLCB6zb&gRS=OpiN_FfkxZ_9xx0{dtIz z=!RauQg+pqNMv+ppJ_{9fKeJJ)@QDRN|usVm;h!0fG<~~!b`*toF)oW+tWino1`@k zX}|M@@6l~XMGSCrX)|=k!lf!D(FW{l9$9HP01@f zmnw(kmBC4YBTG6d*yx<3A!*;ZYG#wnEVlibU6rx^(mItzV0X}u*S3RF%FLqIT}Wg` z=Qf?>hZkD!J0b*|Wg_by8ng5`%2%S)m$eHgE%1vAW{lBe5#O1U(ydRGYs$KRC3iM9 z#l7CJKzVX(q(92ONi`cvU+sod6B?H9M&X`BYm6{;6k8tBsA8`U4ZtU01&x;8aE!wmB-hC#_1c}-eIn+ZM&b}w*@;; zV0N)YRyw)Z!MS0FTtj!Tww=M8A#f!=Pw99e_`41dV&9Q_4Sm(vmD0qjZIcd zhnQ?I1gzY%tFRg@Qh#UL8tV(%tW6PU++1ecEE?P>rE`%=#Ud5$YT42p+ncQnIb;eQc?oOqBOM38lm*)e;*i6Xc_dQqm!z{7H36580lylE{7$di~eyJAaH zrK*PR2joZC{@B0UCjfZ{V_yL0D=K92`H802t$c@F4h{tx%inxOy>IP;sPC9>Pb7KK zs5tTSbqk7G7*mKH?%KYqR=i1F-wPE;RCA|mC2G9GQi##a_4EqB%}qWxJk%HBARGqK+}Laa!U1rl1hUSesT zt`GXvxr9Xm>!wG*V!%uh$*U)$0_PQ)$>o0uqB~X=CZ#ti7R`0JU_9Aa=5zl+trp`; z8lT4rP*k!w6gbz7Mb=9bN$;L7-mvsFSi?o(>p@Q@z)8$Pp$FTKQrtD(v<5h1Nm@B1 zc%v>6&dTcheN15|#G-DjNBcra7FGqWHv_})mY_jY_@_8UaJZnPVTFR5b$vx+->Ch< zrfx;aY>)rEF^aqWS)v755<4%Z(gjEyUesf^$ZcqwaEqa6mf+Y>2+c#&%s|3aJL zWURt<8<b$z0<>0 z=RP?9NbvkVbyxFPAFH3c;!yRbN&oa+qR7XN<5#%nD?>r)=5g5CQx1}acaGn8wgC29 zpH|PDKK2EPg9*pO(hd9l5Z_;;4?v!yZYg?(Z+(*9&Xn`&Dc}7<-i|fD&7bh!uB^$T zNooRK`8$aQ2}-*fd>44mD7+EInutbM<6?0(IT^7)&272vbE)8{6L$D(&E7-O?h5jB zubJO$^J6B3xj(JTV^C;;Y*rF-1)c<1b$7q_^q;Lw5KM;^9_*a3Yd3N6uo(w8bi+Mb z-BNv|B%X-2dKm*aiI%EDu5(LUApzung(Dd8iY5pCTu#9>u55essr;f3xmVN=i4Vu) zUWbkfbgVtH`bEw=%Pyhnf8)GnckvservECL&yk{E@Gdfo&cS5e4kv0py^u~4l_VG{ zcR`Ky<3k?$?W%K&S=LIM#DuRtK!ePlWb_J94+L5#&HC@AZ7LBZq6N$qP&>mO_F!L6 z%gLJ6fLL;jmSfq@vXwc#ryII{d8nZkAigU{`du}aj_#!N8FrLa0rM-fgGE$l(ieAn z8~)Z1`MgxTqks>CsvA@PP`_DEXPrRMLoMlA@M)e>R_;^>S2#79D(iI1{3wVd9*1pj zqA_Fp;FhOdAk2WZlbQ) z87P!)IU87`>T^`^}Y-6Akb9?bA>5+2p&c1>6#Yf|ynSTFqz_1II8g+1^LEH8M&fMa6Qh`al{eFH5Bga`M zwEF4hhxV6HWvajjXU-eJpE(`~<#n>|c;HN5>))tusJ*Li+*=(VHnk^f-0C^15suoI zhs62QEWaVirHD3#3@NxU)uZIin()nhm!7wU3bXjNy#RAt}6lmil{J4`?WWvh2Gdg!k}a?hAtGgX&JB7k@<~)%TgHGP+AcovcQ~D4uKxt z*xF73OO5LsC$~5=|7>^8m-!%>YocX(H|tK|n=O47Rkl2qJI(U`#rjq7sl-0XKkbz@ zY5aH4CjANTx;TP>T4#$L;OxW4o7m>`jgLz0$!9!>03xTro?v<(OPEP_Q%w#=Zy&Yq zXO5EczRoy~gl5@sFfMwB1E&QS$^Im!lM2HWhYG~rPQ7V#zI80Noi`RNqub2l;oCO@33tId(|>|PnY=C5 zanSH)8?i|2s)`uVIi`m&KI4kt%97+%7=G-K?+`-Tcx+-c`$}csp&@w6 z20_7^w)=i28@5&*C*<9;l4wKTb#a zYhk(%i0PF?;R%t7u)WHbrSoG^LaHjh7=G_!p$7tO&y-*+Y-7!Gs-zqF?%`7@GqwJE zHb%2#IJr#%^=C_qK#ZN`Pv*NGQp)}^+cO2cRa(m!@Mfs#Hf{^=xpk5Gx?O`?cVbH= z4|(Ylc*&`&e{?UgHPN%A=ZYHZkEnb$1} z1mg-(m_yG31_mI5>c}4^n%jdP55Hb52yZbJv4zX_^J2k9qSPHIsQP9@{MYqfa+HlN z#ajGO7W*ttMuknD>p(R6IVVjn$z-!HKjzGRSNb-@Vm`KhL*;|ffW^P=-TsPxFDv^E zK;@y62jGpb$=K7v!o$cu90t9Mb^)9`+WSAgJ<{n+%2 zhPVh0@l-QWu!;$AO+(s1RaWbwP2s+jyC?V-OicH>A@hjHThIaSCCiK4{G0(u`~lt( z!15nv`YkJ@`H+MH-ubG|d)I3{N+eD?$3X9*SCO27YFy4`dM4?os>|w8O9BOKU2zj{ zOwg_4`Bd&vUM|@)1lR!xrP!0XufsI$0}tZRV)&;&=H5bFFJgW0{9|SM`{#iP%ClO+ za|(7Gs_mAq+TCX}uN4PG+mURi<5N6y`V?D(CF~vK!D@Nnc^w^VtP1N2BGxch^G(Q+ z-jdW%O{NkK>nWTkVVO_|(z12?>FJax(>(Ws;PtFgHpxXn$CTn&BDW-9406{&vul0( z!WujLP9p>Lq3+-$2A`W_!WjZi3b462DE`BAZ%L<4eqId%dq((dJGTP%X@}L|1Q&kp zVrv3i&cJki_b z58M3H)^R}bYBQRjJ-Vw|*S1R34i1Zw(bssiAjXdCPDXwTG`TCXI%2e2K`Gr98msK> zBJorDol3{2Qs1{eI~@deSDsd)>0_z{%bs*d29Hrn?|C242BLdy{0m&NqyJ zSCykP!qb^tY+7Vq^fpP1{65tcZ4%x|q&R_SF3j3WqR)bxw@e_zo)vXxQ;ARa|M6kn z><}O!Kq*v?%LDSgNAgHR3=02r$C%LX)gTe){(VxGJ&di>a?~p$%%t?WaHW*?dI`if z5v-o-=}#<}GlC>hdb}A?vi1J7Pg%fK#nuRaALB*lzlWKvPr$xIfJxn0ag&n3m6OWO zdr^q#I;u|+#zN5bx#>cp*!J^SrR|Mgt%ydbD)}Eol0PN7#&K1VbzV`RyO_8-A)LQh#Ira+`t092Te&nR2i80}?q8^wtqq9k?)+Gxsco}Hx zh!L7MT}h52#(Mf8^nw$%G%ijClV`;db2dwF6|An^zP+Zn?=p_3<>vNS*o{^6vaCcM zad-vyPfQfskeIFLvT7_n!$jRRte2vMoD(hL{h29cgA0C#j_&<{!xZ6CMj+tLeA}q@ z_aCs-Me<*R&cRQ&qLn}~;Q|YdIcZ%9XeHTxKG^+Op29r3E=vz;FGcJ%qX8f{wP<5T1@!U21e1Cdc?p4U$pT%KEycF-?tk9YKykB72a}%@xj3f^cEkFn9MLI`(NLX5s;LdOKLKg z%CHI6XE?mJ8w2Lv5@Q#v*(BAbAHx=5;IQfBM+$KGNf>j!Lt~uVFY~e7T|$p*8zKs( zNcG_4F?;VN*LO;dao%j{D8UjMRFgMLGgt2(h)tT{${^K}aR3_AlZB;!lY^=wR~N5@ zufJV@jWPjgwJVrS{5$LlS5l?i_db0qbs~;%7jKP@roMOwBiyy}RD3#nlmfg5%U)F* z6suVGic91)2*<+q)J9t|z3cy_oq+BT3cElWV6mcopuN6YzSK%@3z7fAu+qzap(pg4 z(zUG5e%K7}Pw8*!M7GZRE6nA)%CmD5X2V1ksVxP`Pc-AJ#=fR|*7QATTwTJESEwI6 zFCa8z2Ff(sN(GCU$vt_3u|(ydysAi~asV4ah1DiH!lZO$ESVH33I{hj&TpR6O!fU7 zfhjG1%q=Gn&x{w!42K%4Jn_WIy&U{2)3x^ZMg^Qhg=*jQN+5Ufl`WcO-kaR(Ppejy zQ6cZu(`D7nv;S`y|H}4aaGAi3-kEQmJBltRxGj6X7~$JdffubH02G6jMX?8uIM*$` z4wI+vl$7BIBU(lI>h(_V3usyzGin*;CO1m)vb+(Bq1DS^WmU0P6Xq6a8eR8$DMVmD zN522iVp+0Q%^C>yEXH7UST~EIO{!W)MO6=rG=S?Ypn{Ek&f=p|n{!Yx?F&EkJ?E(U zMeNv|#QXXX0tC_$w&$o!$CrREE->S{*j_$Twzv<4dsI8dOXDBNJzmhHhGaxg8%!nY z^PAj2v(6}~zxNJ>`{(D+wdZC)uKbFVJK($!1wH=HXeJ%R0Ev5jA!|5Wx$EDN1&(^K zS&L57Yk`i7{HjP^oB!EwVpL%$;67+$mpOH=gji;nJdLQk3Wd18a+^zZXGq=8+DBb9 z-^k##$?D$?gl#f*8m8+U{{6O2Lbp1bi**pGt&F6JEf6{%ipYXzp|)TFkm=EQvCvK^ zF{{v7KF*jtwdr=-+bt8P_VA!7upv@b&+=a)=TkW`i1)XfNx=Ak8Ku4ZAEG7B-awjz z=;0|LU^VfH$CvN*7H6R!eAUm7&{O7eBeqR+3wv2UyNK2jcKJsJvX_=MiB`p4D*v7x z&~4M)D>#kX_HWef=McEy91#7*QLMk|)2g7`zfMc}r>+)v?zFo-DZ(Tk8exh4$vsnW zuwU-~gfyfD!J_9S46QHzh7j-l%EEPSmBF5*rcFd!?8iDlvwf+iLtKSwj5NG!9s3Da zLaR=vg*nv5Gx-{z{9p8Ita;$$izZ`RwW3{ zdEZIq;XE_vSZi-OsNje*Ozxmn2-r!!K=|r=p&4T1%XCa4R#Yw036){=3@4sT6(~XR zs;jP>@wXlL`+iAs??iX*uqY-E`ltLe>0K{iWD`+ri!O8FzjH8vp^454Y0Ro^yxD# z9u4ehJ5^K-;knF<`R((a&KO7UBe`RF_PPPuPit0b#SVjtd0D$Qp$k#zZSZ8hkv&XP z4YTS7@0N@kG13B0qx&84b3s9wWwzEBO3=2y!XVZ7LR&-|)Y)KYbInXKO2gfwyqpL$ zZzLS~jH%irm^kAKW9anSDn$xi^?bO1x0h$D6$bLay>y`ZlqXku&|z%}-J&7L9QMDq z+Lgz5`G>hNymFKlmuvQ-v=g* zUPD?cFMnYApOT0BQ%K4A3ox{nEUOEP94C10ReWz(dC0gf)h7!tA@lIm>$07rLH+wG zSxel%oDkAQDy;T9{P7MYfH1$gMsb`yt{yGP)~-k=XWZ!algLyl89Tctd~h#5wl>IA z))}#dP-&Aj`FVN7A8BbzwBu5-t^5?r^z>&(sfJ@z^?<#f0n#9kY;*yPuT}F-)B23{ z&$`X4CYK}NMy9>oY>mJ)c1oXC5DWB<%+VwwHU>G@#4)4{=Y>;|K(gT?#)fKmHciY6 zDCb4@RY+CT20RYkM8;7kT@i{tDNd?ch^@SNCRVuNoTHALNrdOk??=bD-eLB3xIr&P zQPquk|8o2elJqKv#Xcaq2gs9AM5qz7UnwGlR#drK>*zsCO^>*T5uD28^=8Wt1T~vz z$8_Z+NfJi}reOz8K_%_ihIWs817QC^0wAN~DcS7evbh!9rPT_@H{0N_rO%&@b4*e$ zcR?vkbwFR>tf0hb+h~}|XBm&>{6G!9|_k|B|YGE=W~uJCT*TEX8(ihOKZRhALl3WP^ci4uw#y(pCB zmx9*DPK6laU|S#vB6QSIw`kH%zDMXjQ*BHJgQ#q6GVftyYPjmp6~sF;h|_UjLkc}* zu_<)NLZ4R$B*IMYpBU4wPV;f4|FjmAYTv`*fLuz;xDmx}ctB{QwE|A_MF_x2dJI-U zxe%&F&8Y0+Z{?4Qp7cIyV<0N%TPWeIUYkkmm4|R@Qx$4h=p8CS6t*ReHCalKr;wSY z8$NGG^z7s29%!0kUR3U4^$uvu9nIsUke7zREj&^y%;ELqmS7TrC$FaTpZ*+ z9xx^VNOo!?-De7H0@w`&^&zO*2c&?l5kr1b@)6h!C^Mt;&FARn*5aqDsgDF@tz6Za zZ}IU_r2xX}#g0)yTpQMDPauwsL_j9hLMUqPI$?-Dp3rSX5Pxbh-CcK0*|zs~ayb~# z&Au5zjm}hFc4&cZ(m0`LZ8hyvA#I|ymHgvfYv>BYKh){RT7pkfr35!?-PRfA?$`#q zdGgi0YQ)zRX44-_Pb0C6pMuLC_X43xgDWi_OP8N(OlZ3i^C)xJLqE~DDn-eb zh9e8y!|nX`7SiJoXDe#e?h0~ICA9sv;xNeD(XD^2e~xfc%hBSz-~xF^L9p;+*PI&( zk=`3c3@mh28Zyt0)=#|-RzUBFR(Z7{#}sutQIuDK{Rafzz{LKfsyYNoY(f|#G{Z07 zs9X|uno?MXM^Os!l#36d>wU&&-{p;vaDA*CxkK$seR^-T+`+$aO~pqnSH@MSa@nY8 zCUVzXf@NbIK&2JOvq4ioR19sab6De9opE@t^4B{VZ5)D|0xnWkuTyu-`{Nhhyi#)+ zrwZ$#?-rmZ-5O6bG-4ZJtkthBd}z7g95&dza(8NQ>-8`4)3XmO=ur?R_--~GszKp2 z%(rt2VqK$z2Xj7gOn_`72Ff71t^!UBtdOfkdF7Pd;{Wc6K1h3STKt9ta-oF~lY0oj zBUXrRnKaO0)KaREdWr_ri=V&ClkGqC;Mebf}|O{Y*zGo&r&oyFtJd8 zbdowN6JPKujU|B`X_!3dx1O7K{>c!2z7apZ_pbjD zG*TnGb>67qHlLZPQD4@vD6Z^XPKu1R5{dNqGD9u9J`pbcn~R0;ot6!&P%eHLMMmVtR$!*N zKOW}D$WA>|#Pdv?o(91IxvR%IDO)Rw9Pl#trez?k&cZJn4(c9wwNV%ofPCH`>7&;P zID^>LeY5Lp<%yQ9Wei8|1Do$Ju^j!x!6m7CJ$gjiGk!*Bj;Qa_BGgUe$Qd&8NpI`s zhX`jfjSR#yAYO#_hEb{X1&~N$zH&7`YSK)yloCjt6i3yfk)ZfF<}SSX5CGK}tQRir zu1fh19zkP|%a)hWZ{i7;Q3Xl1TOFVeUU_+3Pz^%l(kRq6V?nUh{_Yq$zToPffXbms*}Iq%Kmv7HM*EwJj-YkS^xYFW_`7Dr?1Jw4#i zEI8$FOWc~{lp1iF0^bo!3aEswoym`wA@u3D zPQdIt?9|mt1OBgb#LnJ0D=jhinV*l^!|8b6(IT>00zs`}XiL&-Z z11*TF>&4#nwXB_M>PWu5>kGoxwoU-JD=bKA9$-M{Ch^CX;|rhJREcyrN4}lpv z7_!lcE9>0OzyzMe!!;3@!>v<8L!Hwba$vOoKe;0Qoq{L;Od}=ixX#9C)V{SH7=l5H zSqOQ6_Fm{}fF%M?KghX-wG|uyCh#)AW`OewB&rGkN>ov2QWdO`m%fS`I5>jRpMOLp z6(w|{@CfJ%@`(TdtfzpA=M|Q|e9L~%H=nepfKZk<@BHpNus>~+Qf1*~7Sxh;3}5Zw z0MLD~r-y%^$gh0u3%$(1UNe7sk;1ODS}8a9uJoS65dtXf-o*vA9Ig!oVxN z&n24bEWm35a_qj3Wk_@A&q{`xXVaS_r+ScY>b~3*fWsN}yk z*WXn6hX?{BteuPVYn<@MHhJ-<@*jr~F3*4zRnmyhBcc1!{>qfNi z&;?*)DhmJ&&+Yf-EkSxYJtW}ba#NN4?%3c*j(}XQPLBdYS~|MduL)Em4f!0zvYJLwbukq03CoC;1mMDBTbX(OY&*8=o7K=6R|h7Z*>#! z5P*Tb#To2fGaY!B{&r_(#74j`GLd?2^&>apN92}98-STwDfNZWm!IO+S2VSS9URc@ zo7Bhb-gfz?Dfhir_|Jon(6qpFOAY{Y9w$#C(AbeTM%m9#R{hTe>6xWfrT$;=qVL&& z@7Cn{?Bwbb-;J--aI#x?mGhs$^$CrI31IUQ<0C`Mx7vztDY`4ePrgT@XS9~SmzYmd z#UIC*zq{bi-e>Ax>ly%HXml|@3*EB?<zIAxZ>dnPx`99YAHN*YUqETahK&L& zD5oD*I$uo5wakF2s!LjcDx53;BXV*hIk)2%O#P!h0Jp}j*apnGgIYpB2F8s*?HwHe zxEi`10LM7w&s;Hwdw?{O@33zn?J9s0xt~b4HUR07U$IDP@kjLX^5)cg>1U;pp%Ea> z?-w7cpZWn@2arblef<8#h;RVNDt-H2rr3V`wgAXBe~BV87hhpCQ-H)T{ylEkxm})J zYr*HAyy1J<$$$8_*`bTSpW#n@1!MsdCx3)uUdHHBWczvx?Yl}{?7_bV|7DkN^6z=N zyz~-YbheM`-ST7q-ggXsIs2vmTz~#lefQQ?L?VxYm06fPe>c9sBfA@+lT*X%9KS4% z-qZQ|etl$q`;z3ndfI;uYAK@}{+sTb8HUu?KRO1iv$M1BW;Q*z|AN|GzZtcUA7^jW~?_Rky1IU1nxDf<=s&N0Yo|c zWmz}n;W?Q$lK}}^UxA%8#%gd_%9gn7keb?K(fQ`UVp zJpk+O!@%Q9+MCz6CBO;I4Yow4_?{K|yOtKIbEACc+t9f41A~~0`|*dNoG{<|YaDIz z*+7>|XS}OvB-07u#_dFj9elbB5ctlGf%okpT06{WD!g998DNye-mr=Lh~vbK{o}pt z11EapMk3HL%4GFsiC34yugZuTw6 zPu)XM6UsgNbT+}f_LLi+O>Yz%d~R|9G2baQrS77b5RO*ZheFDJN(o?YwDl=KDKjbw zoU3)y zgOn21KWZ1@Iiux%rSizU@Jc>p%B>imJ8-ADlUPj#Y9+dY>Jx9U#e~}lS=UG9FvLDKl2tX zHywG0>a6O04)pa^YoKvN&o%Kj`JD#?D$GgoH|2fxb-V zBxL+Qs0z|8LX5@T3;%H~o=ZKo4lqkpuR?6kNh==f$x?;ofi;KAd1xsob>6TF25AKH zcH+C6r^mqzIuu4oV-dU2x+%$&x6Y_RodS()x35sPJ^$`6)eXD!k@$XS51UFPad&#W zY`_T#3f0MfQiKyp;|4A+nrr7l$@)W@56LdIG?V3_^!8|jx&I|l8Nn-IAj;&r{x)3 zgyjv9a>|~dGO?UJR-Qg|MbTAW<&P}tw#k@vJ)Tl`c4 z64~=9BzU0(S~?7wJ98KXR6JZy3p+Nr^Md6pUn=wj)m8@Q5OUU?J>--2WU(D%DD#Wi zKmCV?m6H+!J!Ft-pZJ4uk={$y%vF*A2lI}%!YWpv9e@^r2Uzhi$OH1l=<1K446|a9 z2Buqk;>KdPCekK27@rj2OczCbV4x>t^i&KgwA6&{o6cJ1_Al0+CI}sLo_-l=UG?{N zQC74@3s;m;I@WyTx7TA}-k$5Cqh)hZ5we%y^hV|3#`czPcVgFu7-vm{NOB$@&hem- zV&P&s@$pB)ikIQq(dH2OjEys=Lp1GVS1Zf_PjE}t9f5+nuHWT1JYRq-b+O_%jj|-3 zAX}7ae0@BI9<)&}`u+8VKthBePk{y*0V?eB8#m-+2;7WOR>voAxWOswvHtP;>w!k` z7i~JPTEA8;)1=@1-MmoQLC<69kz#s|WPBqs*n7Vaj4#XuZ>!D(038tox3-;ul`d)9 z#~=3VPmoMTTm0V+uAmOn7t65FRG^h}_I@b6MR2-jlk4s#_Li2^UttEzWg0gs()9kq zmm&{7THqoci7TAH%gIi8Co_GidgM<$Pt*zbl~ln=%$$dww|tA{$HGy}gz;r+c}j|* z4IOg)Kx? z6)l;ykPUrvn;0TN?SYNbrS#PxjtgN-YU7-Q;A4HSRnSk@7JC%~>gZ`}G`l<-NUuZX zfvc%&Ot^KJ!whpTh}i)Kq@O%os}5{uT@{_5o(c0*7+kj+@r`lHDu>I;*-0mB%47NT0O8dq8=T|7SIR3=J4BN zr~BKJg(3=_I5R2xO1ad6Lt_U*sQbeNn`stWoA3^Q_4nKN%%(1|6F|YH9O>ax4 zm=`C|{rV zsp)j&B0;UVcjm?VJ~vIA2darz5u$ag4PLd@Uuc}f)!NC#M@OUBgnr_A_DT(2fQp}< zMBDrE1}|-{Miio#JCOS{t3?GVw(=~o8bp=qq@ca$Y)E#RWbALN>X4u9M5IKk*R(eeh|vC+r8f~T&5>ZpvQA7t~HoWjL*$~w5O zE>*Z0dEau-Z1^y7cCQR9r_0ini2QUz=$)y{o>iT?$6`*Y) zNn>IAOpnDzqM9Tvh$#+QvL=#PNeji}AdA0}N$Ci5`u09xp7#^ugZ${#EHW-8tgmLD zAHOu1cf$OFu}nK&R>HjCN&mgcuV{>mPoAoR%|4dTB+0uCsIWM_;M1$F?0`QFQdDAU zcQhC!q%~s0YQdBqHU}c?iSrfi;qgw8klLy((OrEGKT;kZqM1+kZV*wftV1@BaDl4> z4|p)?f={gI`iaFVSd385Xl6et7geU`@LZ@$95pXAM3{++{+Bj z7X1N;?(XcflGf267>T<$GQg*pbya4jvTu(g>2kCC1t2$b(?{rXv!WlNq8g@!`cq~; z-X+{58WP$u3F6Ksw@0foIkk|(#xqn~DmC+&=90wXpEfi}E$n657%ly42WI4_}A zN6uyb)T7`>*zXVZ?>vdtp@D6Gv4E_>c~L|x%E0?Va?vFL9^r7i}Z>H`kv+2h|`YDsDo^^X2{I z&!cyMM)q!HZgFpB!7Bp<*J%}-KRu+s>lS;rP*<6@xZn;~)YQ5;HlSX@{?P-rf@i#9RzunMfocb6Q?9e9{wNRZ5;RIIh(3)=Ejd0S0g3~1l^ zfk!{uKAgL}u!Fh#ZZCOW@iQiM0GEH`-%YXgIMP3ozdS;CjFk`^ogBs~n9}G(c>kJx zaHx!#AWNDNUMHCcpduT=F}#tmg;TYq?XJ9VI~_WL5Km_xD=4nAa5Bo37e@A)S-2ci z>qZ2*xSe#&yR4I;!#b!G8~iX4IpUQ(J}$2(Jc=JQG-ne?s%$V$NuwCFdEH>A3Vf10 zGg|#|ZCRx4M)jshTZWG;K?B02A<|WdT?)(JqOH;>Sf3#{!=YI_y(Gs~VNCy{MP2)b z;9Z?-JcEb?7lyt)ekEDk^HMDVp<>)bJlkCIdW?{A%@9KpXD$dc0z9(m64h_2xg>7h zp@%2AsT$?}imegcBIc12&U5yb zrQEQ-FA;2!EQhD(eoqkYXY(x|1w$6u<5O>Ha;!j zuPiG6T#c{hf4X-(X?>*({y5rj?j4P6JCE(3vxmWxHQ_w1M)b@mZTdhP7IX<;z`-|c z6ne*OjqDO*8%5qGX8|=ELf*E=-@-;5e|IIm^|yQw%oa#M+F+imDYtk$uDo#7l;uIwZ`j+k{+V5D@*&Mx&L{Tfr5hY7z)&){nieXiXpdse$H zx)*eycI+B;X25!Vm72(erHuNeo&Tk{-e8+tyx^&XT|5RF3XJgHRg17%px<>c2Ksmw zTHL5SMlJh_FU~guSl?z2&?Y2WtuJREE?}nMU=&zZRcP|~?8}0nzuaf>oWnZO62I+= zw;q%)yEp@84x$4kzdojAgxoW1Y!odHWyPzSR{e$J9{;kv<5cRh4Yms{Dn4TOo}@D1 za2ll=4>S)_pWd%`U?}HK z1)x!Q-Cs$|iv5{wjrCmd8qyTyJN7nK-kb2Tf{92yocVSp0i+o=is~is+b!f-z#$5| z0*v;PM>v_rzNAkFNB!uY93(F!wMy+-duH{CxDJo1)Y^kMP+Rrir}F1Jw+war$oX%{ zwSW*5FWwJ7DdX3opyPPhlr|+nx&^yRpT^a+RR9(v&`Mul+Q3}$+whT zdr#Lg<+y1)hFZNr45xL6L&7EJ{I0t%T`1XdA-nKT$1Nq}6u=fnEfNBrjjS0weETap z7pun~oJ>_+%hRX7VitT;nh3)CPaAv$gFf1*sHNqq+C=&Nj}F2iW)r!>?9c(1+iTL+ z6dxnC|DW3DKTwf^2kvNep8_6$Wn1WF!&!-3ai$S3Iklz(e@{;93H~uc(@zl8E+8CV2rKyF@yZ>wE zTY4P)JN^4Ba}w5ww#Ffw>Gosux*U6`MM6#nEi1*7G!FVn;jPP#k8G6OkcCwI+H z3?{?d=@5_=$GmSN4m%}-zr8XGFb8!mbMKjyfa++H%*eannrZ84S##ipz*|piSMb7}Yiti?PNt-NX|X-MG$#IkQf zmX!xm3{ekJO9aPQ80~lGn5TghDN=KgScm=zYnP&Xh!iVHWRG4f+J9}B1+GpMl+v`o zqRfq83^}r0#sZdM+(NyGYXFP;-8 zYYg>Ov`;}JTSX{C+hn?k6%ID%=f5nz%)K~AFb8NxUnCIVkCFeRcZE~9yTo5XW5QKvB; zJ`KSka`fft!GG{J!j<(7KNC^h0~io3IRBSn+FXKJIKAfRddd>vb4SkcjcCd{=!{h%kpj)Sm> z9ucPw3l>$HUQBjjm(^9~#V0RAh4o_cG9L^Wnl@Q`IS~`TUC#t8_Tv!dqs_=qg`mLO?vo(dKoZcAExq9kSKMxm)jo zB%<2g&6AU{fMzdYu3?4S8?-gSz*GTCyJ83$~U(7Hr`;aWd*&5G+8Ld0&s10r6=p$#Nc6_rcbTcuJ)eoAw~@W;@B z)dEeE90qgt6B3%6>kEtlQhv<8)KrHIhl8oR!hrl{D;$KbkhcR~i-O zGBZUJpuTgw;pq#pylk{N#`N?yuVMqj%y3b~ERfp4C86?~Q2~OR>f4)UsbI)k@UR+h zE?0}7+nDOFYE)W>Fq7Dhp)kW0YfUiGW{cNzlNH`UxdBj(Jp~0Gz849sC=u=Ffw3Qb zo*6UUEjOyD&dgdpc#K^F5Ia;8qD3Z3`IoHfQ2v#eWbRNIf5)DqB+XpogR?{Z`@6a; zg~1t-QiEtU@0MLxLTxGC98n7E8CW=l2R}Fi|Fw2rkji^5pVJfQC{s{Vq0ag(Fx?Nno`e|*>Bn&7d^X;6#>=+UVdU55$%2dXj%{kBPQrw0ln9v8K*XM>D)Rp zI@-(4dAz5Mth%p3cE+#@C z-~~`s5kC%Iu45x_Wl#OB;c!J8|dg7WLbn0|BwlA8UPULBm6|4TfZ~flT@roi8;|6YT##R{exhISW zPj_pg)qLwQ)K#)G?4lcMzhuLK>O|Zo8O93rOLD4eni}AGozE#LcqcWNm;_K|YeH79 zbuK2b#4q7r$QhLkeUxaw8|QWmZQX&$^>(&R;FUcfBhFVfs$watx9Qf08Ns+t$V}_v zM^Lln4Tae)j1483%_>eK3u03Ejent(6UkY=xo8a=)sGY+wj$lDeze-tHTt?aJK%FV zjqx+xSrB^~fv2Y1sqeKUevzyNNaCq4|Y*6yuLvybY& z4Dm^eEbc_9%au9bASSO2&Af0pAk=78IF9RrNUKjklw{>PdOrbEH4c?JA=TQGLZgMv z<2o%U&=$D0HY{YTFLDSAG<#BcKP&*o#$<$YH@UMOSJVo-Jg;0`IRn?4Ih%c?=DDx^ zL|rWcyl@~fe)_HIm-Sn(u=bRu7jt&Yf{qZWwzb>iVm8*CG#EC`6Y4LoXH23)_TlO_@K#8g4!E4=@a+@_Mt#t~~MEL<&$%j3T>hVUBXtcylPB1)it zl4_q6-47O-z9=QhK=+YRFPe^f{IkPXHw9nL#N)_J>o<{(;6BeqNNqGcimN+8)Y_S; zmutfPyhnJWGjX6?>M80w_PCasWRGyAlD4Acxa%4)TbA5{y8(?;;9B$?We_ck9J(t?eF!?dq;eLt4<=v;%mc zAL{ldyu}3TP-3##G9Z_bYmyZ<$SE4_%KoF>{QT_2*;W=)Hq-{i2tbb9gmX;n%oVkI z3ku_el$K;Yow@>Q2mz=r8_`;yM{j+GP+zUcTTI$c5A+*ka|{u5+RbM@P@Ze<`ju|e zVO;>8gZg%HNlBe-jYLvz3BP_d7$5c-p7lBHFJqC)_E>ne29`~6k*oT(1^H-nYZje3 z!ww&hS=iy29?&v@6(h$vRW~=<5Qh%bzT3qqpBSW~M#Xw=;DpewA!(p&N`PPAU{@>D z;(dKBIm8eEY_^3T1QbBlu>2>`EaY&)JMBwLI)uLdpUDPdez-6qL<63#?-$vK;Y7b6 zJ;UpY?I9Fu2Xt-y*;Fdx_{=0X^Oe&rh@y7OI!Q)M{Yllk^YS{0y3sXpMB7EoVyY)p zZC{NOS+)oJ&OMtn(*R23V2BC{(7Zb_;ARLeC^o-4Nv!)m6@KOXs;JqyQ#%KqDtSZv z?mo=A_}I8Rn?0qG7$dtjvh!K>sgK#1#K^i~G#hbZ)JG+%%MmU8Wsd8I;=yTQi+^cN z;*a6tg_F{X+hQ}2PU67E^#Ghakf?1=ha(QM##oBpI;<(SX~CH!M#-d<1dT+<4K3Gd zhTrGp(50USsHwp|E!#QJjOqjhC@ssfBX_?7bu;L{vK*~+NO6M$?GUN3T^+Y^>=4$f zf0*==OA>LSK8=WOpZyc9t;>k1Z5{Y7RJt~O%WpS}JmFgh4CD*}+;k}JUyRn8yHFcG zK9Se%gIi@H49#`s>M3z_!a2)(Ei~G#rOLsb?BQKCdN(VCfp2Y*g+X|K;POu-yIH*l;xguP)KQNEz)xy0d4 z2W`mAYU*h&W`A?NvZ{0MX&@`T4LaU2;*}iOxWSl8w68@X!N~a7RfwM$2i0EOX_l1Z z?_!m!alBqKNN+ngprrmZs<-)rs$z{IBge`!ZZD@ykQQ6b!6^B+g>l=u8%z4Nxos$+ z6y8hwi4#pNcV3y&?k2U$>G>%4yc1IR#<^vSe#E>9M|fLXNj>GhMO7hTdL$MLmR5UX&aZ9R40h5Mz0lLJ+G(P%i~{d zNROqj*eGaR#?d9~1+T$$P*o!xQQ^>xk6PwzonCm zVk5*r9t*Xs8v+FfA0~Skwao+y6enC`e8Vg)-#X`O)EiNp1m`X=gC7Y%)czEKqMTSJ zsj}eBN8Ci@@hx11;kAs+`1A{ma+@XeMJB_)+6|NGL&7LQ3*x=3CVxEqkCJJN=0&EN zZId@tlFsYD=pWj@f=Pomz}G>xJh_&5zRwQpxO;oO^UKeo*0`{1a$@Ng)&7>G#~Ty` zscWiFRB`Z*_L7aKidP4f9fd$QYn`}dq^Dl3EiHN8inflnP^I{jqQ}w9VDvVV`DMm+ z!p{N>jBtRrc#k!uMU?s<923OV^`Nd$1*9?HD!FQ&d|-mrc>eXui~)XmLLlYa_}f!+ z58EMJ!9;HavbnT=Pkd~f__w0RV#I-`Zu5)l>>aQM9O71(S~&kL8!tS=De6PT*pG3n z>23tacFJ(u3jAMd`2m&<9OP3ft2XM_5UVM7i}Ju2xK{P}hHL>-g{MJ80G5m|d3bZ= zxn@vjc>B>GQok?C)yc)M`tHO2lj@Xw2>Y!bUfC(c-w{9pHV$fT(Pd8(3>Cb=(F9K7 zo%?IeSSG5%Y3Ef({v$RFK)Sh%htB|*QqtZQ#;3Lo40sI@i^2(G0ku(D9BE8$fk~&) zywwoJ16hGYCIs~5@@)G2C7P7((y2X}Mytgk7kU|8x3;20LpTE ziLT;N3qS3ngjB(tr$d*%$N=PwVt&P{n6V7Gco zbY@#GtuB;uXMIZrcis#sqi;%p!W$K$++I#R9|-P!emLBw-2`*c3YhEhxRtUOH*k_A-#v_NbZv-Zh%VK? zO`b)K;tSgRPdaNnK@T0;F(Xmi81u)PC(2I82;A~5(MPK-8RKwW=f(^ebg)^V4^r|L zhe!?k2ox+mb^UUe0v`FCUFt)9;cVou=18wEXV;4AzlMxpJyGsInNys`7{m{8w6u`f zSSSr~IrtKC9G>$Vxs1E*`pYgS?U3J2yI9L5i`jXPN-pHWkV;Gj##6L)_u7VfQ;z+$ zrR#N#sqt_X?8FNohU~N-n^4GOJl3UCqp2RpMlIs0`;4KJUa(q2vw<10&7H37Ma`l;7xijtHzuImV3ZCpMM;yhzGmJPx4BMs3Jt348urzB!z3qoS-MO@ zvFdy&NeNC27D4PJNdzPbwBU?<#^rDKQWBbMToens2*(5H%+cQg*y3dH+

}-sT{o z3LLf{6l+~ekwlY{;NEk${G-MT&UO~7>gIa;Ay)OfL^kn;6ojbD*=*O_nfy;fbVN!P|ApQ2l5iMWb+Ym@Zf3r`4IoL$H9o{ zHmFIj;6{Seo#l+!&45ShSvcS4U>4NazlFrVBBFhYF$!fyiuvnQCFwq z^}U~H(D;{}h(#2Wi2H|vkP>X!ACXOr5!m!Wekv-75>cwmK7dtVD%4ODZMIu4efTz6A-;Fj;u`f=9YST|_q)A(1b;Dk2M<8}vO?22-$bDC$!QurR-CW+OErH+h~q}~4X#1D zehll{R7fjq;8(Bde?b4cT_SxC+FJ@IExKVMNmM!v9p@g13K{gt^ z+HK=!oI&j8TNX_7Yr}Q|Q2!Q1JQ%$st(B5HI8Lvg`J6HOL8v&+@B=hJY=ec6Bu>+g zPGj*-6h_kb)-V%FtXEEn@i&>dfox@C`Jqy-<_Nu6Z=OQFFVU=ruvrho$IMYk=(Uo6;*VabNrirxHT5&HNeu3E;HFwVA@#Wbv{(;kxwzrB;z7|*gnyfGzKeF*CWf{P<<*%f92+8XJi*6iAT(K4ghf_~Imrw%@{ONe$rn@7Qjw*z|HHmbjWhlVlKz2pW;=G@u((YN2K)N5py2j^ zNhdsf^!lEed=FD7kwL zWOn3>9rdB`i2pcf0fn2_w)iBa3N2tPLz;~*U^2yS1(Z*FsW9V6r3iP1jufMQ*C^WE zU6r67v#vIV#(i2kD?n}s2?3>t=!3_dhPHD zVG^gRA<5U(VO5#Y^`W@i4TN>4%`64Kz9Yy%6SOPQ`*Vu)#qH;xJLR7%>s!XJ;f`I| zDYE;|s}U=i9km3vE-=oox!Us&nnciop{R`;N1-42dAowH_U_o!$?~+*&32usI7r1& z$V4z4$#s4vhoLHg03#lUC8B@ZH9c)O3GcMT2pV|N-(?MIvk;>BnSVlD8<+SWG7vVb z<}x2p=b~nOa-1SkUp(kFvVuFdXj{bKUJti^e@D_zS=i9Y0D+Nc1C_QK01^Lkog}r& zr01Fswk!q1TQb0DjXM}tY&I1Rh|YxhV2k!ylow}GcpOl+Sf;C-N?Y(8mgsS7-gO;Y zxgHQ;CPb{3U_I3S+scGoH-&V=qBva*Hzo1J8Y{I!F$P+&B_CWWvkrS?F9pwv8LQA9~r^oC;$Z8RefZD#99`8)k!K#T-gL^)E>^ zeSAmokzyST)26vdS05G4(irZ<9BZ)@{vzH_1jN~Q8TCb1a?92d{ZmYCY|xi|Gn}}* zOYoMTmoqqaY&5*kTMtb4gxp-a+ans{F{h>_wHgB6J$BQ%DmN!P{`Wa9&Ohh-gL3?{ z(NE$$6qK8f_^{1ho%3!!pPyeq1^{^YwxNF&ed*4zD}O@XT?eH4D1RE)TddO+IPCg* zjwtdzIuGufB(6#zBoKF(37!J_{S&eYz#!M1Zzk>Y;Ld6tF9fkl>#3%8UD9bN&Dm4L z7+36Z{^FD>yKr*Krvq1nHnv)c;^$rAeRLaV_o}yQ03EKQcMXb$4ymCin6prFj%Do(lvF((PVn;py zt+oZLD%`$~JkQ0j)$GgZW_vUE7?7Jd%kVP1GPbJATgb!Ad>ap4&+2QZdjh@)7}(qv zi%^)cb3m#d_d#p)(6*qK_x_2>Z{3Z6&W1~i-OPfccT&7V%O`V`U zUh@yya6#H$28f+U7Ji;-o?8F;-E>YG6ghYejf5qO(FxEHNSzeCfN#LK+HRYLQQCEO zU8?+@{X(nQh!Wnr;r)$r4)(oZZOMMK>s@Qu9Mg_u19(mkP2-@EE`j!7&0{P=ABj_4 zCZSYJe6c;LTk!G*`=c4#G0(Fa&bQoi@1dS@sk1s}b0x&g(LXB4y5DWs8=(rjwYtmy zd)Hj9@6{Rr;pupSiW}BhQS$9V%p1tHZZn8`viG!hIBZTO5+r1bpIRXgoXIEN^Cl$&*`+p zsy(w%@3z8MiX?A-bBp&Hb8c~Bq(Bfjy2x37i|yJkITvqgQwyly7kZjXbtRMGYJ~eu znK^8qp?-SdS?Xud$^0_GmJ4G%PVBN1 zl;v0+RTEsEx)cp^&|)kkvs20Fe~uP5433`IzURIq6z$UlC6j)kp^c)OLK^@E!lUM{6p`x@cW~=xxy-!rbl0xe1Hd zNV`b&>bJ`~f$)`v5ffBLoN6zW4a^yys}V~>BbD*jr^jtjqllxq%SddY!1aYpbffny z^?)VCs(9Gp4jP3kG(InBQi9}tU>NZXR%GBmaCMd#5{x0z^=pJFFvh?MKGoehjj<~X z4u~%d7^>KqPA7f@w+k8R5Yc$w9p=S|L?-!*e*=Dq%-5+)qfs3YEsWBFe5VSODNNs^ zjWkVy<@4O}jk{U?)SRi*b%ZE=szw4MGnf59yJ{rzIzL0}PN%eF>VT8-vVc}3n^yf{ z5iLtrg?hg`JKGN3iYj`<*i;<~%RWSD1%4nhNrNa3U#OVE!ZC$}$);DqIjB(B6xPZ%CvN~-f{i^r&mziv z3I3p2z}(dsR~{{k02Z-c?6Rs#oy0sC-U@#ps+!=}C)Ac(qLGG+)I~T6%?iw~bK1!s zgWC@mg?yI;2_e%D6Qq}kpuQ0eb0CynZdHYRm(FvFBaTah7bmsT5( zu1#r|9Tu?Y3RV?$qZ>?=59!$62_#=V`iIE47f`udQG#_~+trqFej-ceknsbjx1X~S z*XcBaDq=ELPhlTsbBjy)7xS8!*V$2+?=?VLxQk7&Y~jJGf8;-mokNfyOrWIOwr$(C zZQHi(Y1_7K+qP|M+U_^85ifQR|6z}HtV>l!WagIvtX=$Fhg;I90~B%QzdO0Zh??=Z zo^VIh2YUwhXcDo`q~V&=(P9LTCVl+wq0~?)z9Q=Z&W9nNIn`(|S)Bkq$@QAWP&|MwxSMW$QrUib z5~Pmjsg$OV{&e4%J=3u{efw`3&{4I2T&*hWo1mk!P4aEOY8^R$4`k?Qe`6NFDr{LC zK$B;-WnJsuUvT)haUBLGpx@X1Z0FvC<4J18I-#F}b89}8QCElE4$NEkcWxPUTCQt4 zSiqh2PUfQO>|6>gca>k16)-KrzgHv(wEhA`#toVlnwv&&Tj<5B@GZcJ1nxLY(hK`; z3()HWk!f7zx034=+P^-tqeALP9`Dhm>Jd2`bAw`m{0pB(s1s%Iv+2fM7)cJXKQuI5SM-txpp)Wd@?9wla1u`#) zyZfGqr)6V?=b>*SyID^xN`eo#HoRREL#d!wZ0#6ON~^pSDbyhQ>o|y^0S-xYNg&+H zg@0_~fXG!whfQFF7aedHbD(x%vI@&YjTNVP^cP!nP+3ypz-Dox(de?R%>amewCX*Q z3d@F>B5n+?->P@g+qq82E|7*MYoTQ>20%~8l_gSVtl5%Mt;=0J|6_dmEZ5mYj*QIo z&y1p@*9RqTDQ&f!)5|soI+2qNgvDI&G?TkNwBB#CAgBlQ~VGb?n zK;6LxeJH245l0-xU$5Yv&DKMakfGl3k1OsSF6BCYcdq=bXbkmrhH)}|B(b{14cchB zS4aq0SXW{E25p+HF2Tar9`d9m5C@nn{8%^AJ}>@4L*Tp~fs_gNR(NI2K3VQFJc+x3 z$5bjVp6DGjDZ_~R*4^*ez5065d@r1UHNO>hT^wigy-VD6>zI|>7LfUU0|t)j&{M*? z1n=sVIO4+KhPei_17o;YkyG$G6pzRzT>J;aHW2VU?G_PI3VEM2vK9M*Ns|M=j%rlL zJcZ97FHbJ{bJflVPpu(RagcHe60v-(T8LD@YRw@DJRz2eUL0q^jGV-kWMupev0DGW zBwm~^W3R$D9yMZwF_f$0(!C|f61e>JCTVD}LtK8ijH93O2t67@=1QDk-pqGcWR-;o zRKY69m*itI{=nhx3u$rTfz>{e*H})g0@=4yc2;gB*94nkxV91HyZw_|HKh~UTD->t z*~0MJ3or-xN~1}35GLA^N$2UERcK9)c!SIGlLQ7gNM?G`LI^%8VT=5q(8$42xgA`f z@3V)0at;uWQvM*%n%6#(OTr6%#;BapA{}2kFzmsLUSo zM*+G4P^J1?Ll(VKG04P@Mvl7*l9M( z(ZU1F=C)jx!Q!mP#joBde~A4iC-1O15-^e)R`4B!H|EST=Ve#wq}C3gGH4O+w0aL< zwYlTc68w){qjxtIKEgxYjw{@G~aJqHsiJBee5Zq;5TF3C$48PV6_p#?G0JHL2PIjY*eJ^k zpWOu=3le_6S_HBItNkkej_v!kIqbT%_Rvw!2o>VwL2}mRdLtOuKet?YnDO~r$b(1B zLd#G;jdB=P1IT(9I(gx!x3=gHS~yX@#qLpcMskFm>#uJ~UdRG3WIKJR*ejfp=>EQ0OkmdlZs zzx3~{LK5!@PF=v~nD78^<0ud-`pdy{aIrx9ep|sqgac5ma`X=?MCZXby#6THz4NM| zDb4`-Y7_U$j~jrV@!Y>nK(VnswpFt~p?=fHma%*!Cq`_J`M`hBbrv)5$V(>9YZ1Os zw8djk?gU@-t9E>Ss*WgpbDQVCGvU*(nbs|OnkMX0&$wztKyv;y_B-O%V|7h3_N{+Y zu9F8EkzW z=7e96BS+PrEN8Q=4+DfGO<5K|?2<|L94`oLdXih~0f*n?JgryK*t~6%$vQi&7>AEK znc+nu@oDv`SxeM2Nf^;tNkWIc+H!shth23Av&a-6h0MqtwUpE9t!UNEmFRQPF0i!P znp>6o=2|D(51epO)tXrlQS+Hi$0mjrf_2R#dP`l)OLHcD27(M@#iy7ywzw_-6&I?$ zk)j+U^=an+mxc?Luem~eF$fXk=(tuwxr&nKj)!5v5Yg$`$8RqKu>7$hWJvH56ZLF(kkcw? zlL(;__4OrPA*o{8C;x3@$ul^LW%%m!9_fKs;N|Kymi@b9B4=<2{6m*Ka~|}<3l-TA z99pl(l<4OH+nZBu0bqq)YHx+}L*zUiB1x*E{&J?}FT{*q!> z!uhr|&s50r7?;-Sgf~Wrk0xa%)jT%(<5vh)RyE9P%9Zb#p0-WIp^Jldg}m@OLNcBe zb89?+t>S>pPttZ}4J8xaBdGrh5B(fUtf@m*cMDw!FK@2|6;LzeP2AkZ8rQ{m$z^w@nU0stvqqR08}pbln;C5P+YQu=(;K6a{R~~`oit^m z_<}y*ESv&wxf$Uv#8CObEx1*M=@lfDeWDTBR^{9uYxy2sm*rzJiRAV{w0Zy2_^Be!aq0=VeMg2P#MyqmIMZkgve1 zz6e>u#2pO^L&b5MPxO>ny}mk1DtWuldD-9Ii~MsN8MJJ z*qVY`IoNHOuDnM=wBhQrF7GTg7IA~QM1FTqVu+a^a?eQ%;oiUA#8igp?q7@vNt=X5 zgl|IM@Z2#3Em7Ai;`5EOXT-!Oj6%OALOV)LP%>SuimERj_MaW;E$Hedr;+bJ^k3D| zp4a7!N*?vi3&=&gxdYrHc~fgEa!&?NV}COpQ!Wyl`jvUW3vv2|PRUm0ySxtdvR%v_ z(XYfnuzpF8@6BMXCn}wegc*RTk7avm-pQ4@LEtQ-z2U1wxO(#9GU?}13x7oFZOlf> z(#zXT?d!MJG(yW_xbWbMb+uo0q`b0SRtpKKZb6C^9HV@wX#QFDY22SXpDqP~14L=? zJ_+}UjgYmh6F9}0=bk%PmMIs2tTl**b>Bx5D!=^ilQ@m*BPBS3SlnxtWUir_l;mAP zIVmi_No0a%;yujAo9#R-)oG(Pgio^)NFVS3K1e|@yW9c8fT<89fA-F!A$7$Dl}V{y z1N7i6!?BiLR&Y%jBT$zoy3!bil{4cwPh0?j&e4F$U`2rvZHjDPf2x7h7H=+Df!VtW zjC12;+@X2SBl?XTofcr%KufUBm_k+aoE!GKamiXl^q<+Kzhm70R!vYP4n5He0#=6u zNrd!cjLq*E*#%#YlHb&{;7#bh?JGZQwW|#Gu@!fNVM|FiPK%>o&OCB0;NPXxbe((C zH4?cp@ht0A8?O=2(HGH``&zHx@Q(-XiLs^9$oD#0EExR7YFCQc_HOg@0~Zs1YO`wV z6P&3poNJtWE!rm{wcPF-XALV-Dya~o7e z(KX*Qj!}ZDPdh@ z{`V1GjqDJN(t93`mV1_Y%jG%vSivD>(k<`7@(VAit+1^rl@9VDdvaj4-kCyjtSxLn z1>JtUj#Y84xa#g)VGqyCHNfno#>xOZuS<32(Y z?}8G=4hYmWV*ng17Un^r2LGYTpFAFU1lF>;6;9@6aJfB<{tyS19me8F1nz5E1?@iXwp>lf1y7%MOzX&yl= zy_4aOtSyYbS?%#dAoN~N2ak$bDpn&>xe{y>pLi7}Ed@fOCD_GjH&KovK9d|%ilNgk z(~EafZ+x~0@DG!QC;Z>0U-PF4Z8bgU4dxP=rraxIC->MnZ5tSRKzYH{=yUpgu~F1U z#&2zRMnE`-64+&{xFhu}&2&n3t9J7zZhB*aCdSfB!WL{mG&0@tW+06d6U#2cyXeT2 zW_|4>_!s_)^XAdc(jZOO%cqog`cWiM)6AZK!K)Qf6a#AdCYVft%_%OdQt7Nm=lFN4 zk1A00+oU)Dv64+)qeipQ5SAB2(D*Vw{4GUX=^{t6vW}-W-q1X?8Dlqll(Iux5N3c5 zqkmNpgu_lb4Ot|#1Up0$YRA_+HuDc#xc71&zbPzLcEaXE1k zhDOk$FbIWMHp3Lllx`sSe(3smWf{cwBC4jt{l5X!Nv8xcrmBMWj-(9W?SrMx zoV3q&m^yI$)JVlIgC&MoI;=1AJfLO-gABg( z{sL}lx6GJ{rMP0t-q~KB2@9R&rRXNrdi~AYwBSjrf`12;A83$=xDg6|y-u&-yKEy1 z2delH`KKpS!pAdpxoXpVWx-`L}eB*hf-j)P=z+xU3N=$V2U50<*Sz$}j?a zLlos-bRc^ho$dbsk*A*0H?xLD#e)6Td<9iiHv^I9qKeu$O{~lp%ae+aGj;N2U?~re z$VC7L%;wkc&qM}oQWw#@wtI2DzcV3Uzb+JKoz>V{SI*k-rJG1!hk=6{+63)I%&h{J z#c0e?e-1aScqX-2bBjI9Vc*;hng~SO#^%VDP-)$u{N+-#|7jpBN}={~8jrdlrZFJy zk%ru**Jp62WOY~w##e8a+ZnjS(6^1S3b&m-ZB>_=EUPzZP1P6rnz?AS1o)UaNqFP5 zP%oRxU|qQUmPjtGadV4h%~qc?JLuC3{As7NH?#<0Qqp z*lN((&E=6?-wn>cU={7*F?%gjs`MTK79)BS*1XoP?zof`hTqNY*`9NDVu-0@p}a`_ zp7SSz{&KA~Ir1a65AmhWvz=4$0iB@PA5QuHqDROPLNn@19Sr!}k)3VJri zOeH^LX?vt;xH99MIsmq~a~FnPc25r~27egC+EQ2Uz_`4+9ik>XeKjR_p2cn(GWF zUQPB$Qvy!!)0PEuCKF6>njr1&GtU;~E1fT6(LaH0%YN=Jz1+xa__5t5U7yFV2%BuJ zv11Vz-+vB?c+60|N8u-IN&XGI$17%CQ1E0DtI2F^s~{BM<&z0+`6IBK>Ik^(_QIGt z3#4N_q34klB!(9e7a&h5lo4y%B zAb*mLNKJ&7qTtWmR;k}cl(_NJYA{LNmm!(8GadlZ6B#mjaJqcwssViK;2ktFrY+?= z+p?A(3v?v0GiUHL-DtpYmevOsUKT7=FMDR|R&Le~I@^Z83^rjKti#4CMVk`wf?7)J z4cOTyv%EZ&_LU5LLcAQsbS-@Iy)cSQMrMVgzGXG+A3;W%6+w>s`Hdt5>7nqC#p%mk zd47agRkXsS3}++62|kHQ@q4+awb|098z#d!H>HJyNu!->s!_!P>P`Vii=MHQ9H}{c zS~5SG4)L&b7<~9`71=Rbw+GmVJ?B6B`wK&7e&HOxE(S((W7F5LeT$c83Zm?l`llL1 zhIZft+xl<)j^*=z{>q+mBygh6w$jXKMSh!o0Kv5e&~iV3Y()g2zAVh{)NQ3_S>}4o zs8O6NPC2WHJH~^V-RFNp;i(C5>yay6xTrHa61gt*wNN8IX&zZoUxOutJ zK|T^gkPrp!Qn8=2&ETQG3!`uY{G=Q{J$!41bI;RvHVdmUNKMu3keVYT+B5;I--@s0 z5==?uJL22m2ERfz5CUEH;|j#50hZ$RbJppWL@TGByM?S*A=si?Iy8_ADi9A2J;R zxZ7h??yFPp;Bl`j<)b6B24L-Fy|?skU9sUm=U{(JKKbp5Lc~GpSDqx1IGmxhMpV!L zXwjR7Vf!axtoFRkE`wG}JW|i&12@4o>LW+WR{6-4M#o4MeAcmXM-Z-c>{`=4!iHId zou31Y!^xDDn>ZQK(Bn6}hnAeu8p)yrXVQ1&T+aYDRH<(sf|`;6m7#+5+&au-n9u)P z7XxdjeJkg!U%MjxNa*9$;fY591M$_5{d(hv`HBv7ln#3jL8&S6W?@|WB&O}>SwYY0 z)@!Os|^rvjj%eho!f#KO4&!z)E`ja-M=Q>4wVH!7&E1Jc-?}IMC7n4H3Z-*9BY3 zb(uI%Khxl!#7^pHyOj$qd+cFWqry1PR%$q~@t-TD0ID z$jo{v_-y6nLc5|ZVgNqO`c=+1Z67%L4)+qzWj zJD|ss*f^;mf$(A=yyna9H}@-0 ze{cpW&Dsz={yWG5yH{$e7xm;{%)}p~Q`$jd?lj|SxiKja4)lc8*{+QAMU)?Acnir2 zvh;#`Gsyh!YY58>(0|IqIRp1i*JxnGB&Fcn5p>PxLlXy2F$804byHN1Ko z_Vj5)Bw_lbFAGP;=E={mh6Jb}TWG5wK8oi3Jxg%a8nupq7-}2dV)BQ;47W&DnRBlr zhZ;>+X#@A;2wP%mABfCEaJPqn^wR-wWIH}Js7=5G%+>E?IzIz|Ul1UfhLb(g_dSh6 z59`1}@CYjFkp+SM(y_90vJ(aGd-baG)WtN`l_UI)>9S$rV!{3*@|G1lBM6oJQDC5K zwRzduS`{c-<&@rx;E>ssOI*Z_eyy1ii@C1+Xt|U<87>=%^wt^hw)skZqi;i4J_KC~ zMsG&Aa}RgSwj-#E{SU%B(|-}(**RGM7wOJKz{tV$-+*^cM%MqscPD_N7qhf+F?AxK z7qc;RF%>a2wl^__;^Tw*haxgHw1x86Y*F>pL0&_vrI0#;7qJS2N~Xqukw6+mY9((Z zjweVYP!fflFbOmvo0cI6A3#Mx9R4Gk&}gBnp|fxZ1f@}80Bu(upix3m7$jO?Ai76l zp}TwadH4O0C3E{e%lX=M=5rRxL!B)Aj6}c~&kuB@0yZ-XTfc6DNB5$9h!8D_kZvdr z8!Q4v2@eXB*^`4CA@d?gh$kn|%Y)+t3`0f-h9eOx+=u}I8WKev0Ru#UAq1%dV3Y`e zJ?Obj!Z{3pl52(-X~4l68ivRK5=FvbA{+8X@IazMgmiR?1E*5SmBh7~1s3G-#X*7? zl>~rC10cx41{*>U5uyl00Rdw~z$i}z5{}?dKuVB(ggy!gXb3$d%=yo)WE3Y%BR=P* zktvQq!H^SHK$N9hxj%{|#gGu0=Md;t zlz_5?DhdD<;dEqV$rack=uf**@HfFpMl2x-g5dsPXDmc$=PGmA#x+2AnqV`+ zD~&My6WSOMO&%Db_h`U(5dP=@3RcL_;hExtNbb!oe2JPaT{Q11(6|KyhfQ{V?TJ@1jIVJm@cm_q#QXmU-HR+)dMG*WN_kl zNRT2BRLGSc1d5XvCv})QUtrJOFeKt>fGo(t06gCVfb!j_Gc!Pp--=n-mJF&$DwWuY z;8>DTf)r6`I4U{%FA_mO5tKyA7vud!`%Yqbe#b8jc}ySvv^WTo2FP_zdO%oV zH%TIH0iriKdHgg1m;eAJD-nV( zHC!x_qe6&?z!$&Iv5*Q-3Psu`qLT@N+u`Gn`Z76oJipAM_`>dPI8%nz9Ypy{txTar ztXypW#)jUrB!&N1?V=3OLe8u8vnU{e1ms^y_f3S}&(QU5Wy>(7ub0+T%OqV(d1@Hm zR1n)N7jyS3PGsY~LvXbDFJJ4bH582-VGZc*LM5lw!OygKb{|^bC08$V(<$izqB%P~ zDDDxFxw)zi3r1QWUBJ(m%tkHft1&^*k_2#^I@Ih9w^MC|-R-j@uiGz+((gL^GWb(1 z8fxw(&BC0wA=uG4W`&Btht{8ItfZ|PR^|sWy%5@OP?CwW_0A)K_+{)}hp;)@py$ z={STr-3qUUK?XOQpVC1Uv$w1|`6yNOBwH&s7;J)vYdC*?3z!ccys z-SW1%NcOfb#bp#!2JOA)KjL+_b2Y7I*S4l!2^|F97Qt{^AA(PZQav4~=vU*FXUK7f z8Q<_PiC)_uW^uYM*sX}U7nzqRj314bFq_Pm2nNn9J4T6`$+y;Z7IB}04UwuBHyK}L zr8V$)9&g{v9L|h=XG(A>PCPBeg!7!tR+AHtZFZjSKdEPjj6|qpd0NSRZvO^Nem71^ zk<)mM@^aXJ&(wCV)|lvvXRZ6(4{2UqOU)l{1WvK(bK%tMpdoTI)_{L7K-4m_t~h5O54I3eY18vN7IC5)UZI)po9?~ zmS$E)LqVA*Iz3Gms91DII~5z7Zzl?(g-6w?_dZfyS4XxT4Z2&HnJ;DL+Oj)ICp66C zzNlE5t>~5a-fmuM*A|j^&7`XRR1#5W|Gsj6_|I^d^%%L0Pg>Vy{3ITQ3J!R;`r6(A0h}fI)mIGUgLdUei-y2++q}#O_<6Efs=&kmY6 z4r6DldAZlM!W-XTR|iq8Xt$W?P(6N{K_oM?(1p#`X4v6%Txau0G+byRsllJG=>o?} z1$ul|lmuRgXo6dmt=+)mi{D{z=&vUt6;GL_q(6PwjC0O!pRK1(M8Om|5yLG|w(>!zjgwZ^uYPe8qm3Q-5VSC?P z;M=`?;EYt~`V_{G2R`FD+)VjO)%{G;mJyP5dwg6O;$7eHFMMlO9^5faZjWSDK60VAmrBxG^!wAU?*44CC2yhqL_z6yKP-S(MF_28 zV%plKiLQ0GVc|IZoj%K67S}k9l`+z=APU{=*6fn?(kflXAhMIqMO~D=SXCL*r-QSM zH-dE8$mCy_&2X1(v9-3bzQi&xGw*qDs0+#%Da@v+uH)kj)yHp+y*xGFbMAwLl#dOs=$?Uh4uqtiGRFpO>Hd&%=sz1rLUOuno4e6EJ?6~2$o+@cPvVapzCv)ffn z{qqvx+OJYNCG{dVw0v&{=g|ls10*ZJiV>bQas_ z-Tw+t644)%%*s)Uy2BQ?!76U>a&UUMQf6v4*_R%Et&S3J5vo!YtwBG>VNAO3>S1fA zwL0SW`s!?A#iuDy8ChM$&R*L?*y^^0S5trAt|1n$!@HfB@%TE(Br8GhZ;5r17O-eg zf!7kmql}pbWixEj76rv%Cb6h7{V%L^>)!K!D0`OwQudr2Z2wo;v$3!;{_pAkoo-@h z<6!*%R`%|$8cDF9t;xj!Aw-_i?ASXyI|a)Iz+yJ_uoozRkO>M>0$N&vN<#6;iF75x z3NT6n``917adVG2eXnzO>kToFlaIYt;5h8CvLMO%65#1vNP&m|&_Tt3y1cv)qoUBj zj$zzEfWI8+oEAi&~8Dufv6EC6U@?Eqv9@-WjwfT2M3WJ)AB z0bnqI!iLWZ{R8mx!G;8-ez^<`{jl$#FbNjX0l*+JszV5~4j|FsSA{`OPr?H^x(w)y zA|N1iM7kc-&_J6A;_Suno3L;K2nqt)3i1f^;vWWo90IT-0B{WG5ZuWDE7v1XLyWRA2)#9)YpU$V$=kN*O>>`gFg&#OXr<*rCIW zDr-rMkBy1XZ(zqDiWFvp^6vQmWp)iL0>meogzfh$GPteR|MOQ&py6b=z26VK{TwbI z+C7ADz8;#~_1L}yyfs;ayc*{bozaHy-%WS?vw$ryuJJ8(2+s9;J3~V|1HeII`}+|P zLWoxpfCoH^06+DauCc*RK4cNV$~}q{&^e!es)W8%PWzTq64uF^+~6UC-oCnw5klBE zf9+e|&y2Z=5G^>cf`4!k!8itX4AHL_(0PN2{U)B0pIVkzWMn{H8k)io=7o)_f)R$_ zjQlk9hn1C9Qox2wL;x9Hd>PBEAj+W@hk&QBWStcGR5@DZFi0ll&;4QAv4JjvA>Q=0 z$T@&6T^2yg+sfiGfo@M=mz2Ka;MGJP#7|*{00;n1LHm7hbwlWselxS78Q+AWX(bf` z$QO|vg4&A=1s%vSUZO|?PAOWD6=8c?thKyjW16t^7asybQ2Yum2_*F4Pbg_9F#ZOQ1Q;UoL*OVd{slkyq51Qt zxSo;FpV08y27=RI?o}U2QBhzVvCGJx!~j9<_<@}Q3}WCHtO1edM}PqWLFfzC$kOWv zGM4ldQg|R?zE9JjsOSgb-(Wn;_WRxYfCl|EK1KA*{wF&GSjd;(fPd@E{bA*|mePD4 z-_P0h?;sfl$|9^8V3?8r^^aN54K38IH+IMl1A|(u@AoTxmOshhyZ#?5(vq#fZ*@F%a^aa{|%el_D>XjEFM7c`yh^_8QH%$F=B0nYXa$j)%%?k zBu6m_f0}+$+p^qn-h{{6v_RR1O9pDG0>Uan=7eUz@=9_mq#sHsMdNXJzAJy0y-Wqh zZZH;Qtw7Lo5a#$w@`v*@=*%GVbE&Yjwx%ari}OQuq^LM^7E)F^VABsRYQ<@5k;g&7 zV-N^J0zrNXUB?^5y;EzHuLmIK3?I18j>JX{IpF5_qSxb^pD8t>Lt zxw_*a6sq5-Q=M55-{EM726?voc;cg~C#1=_4~eM6%MH4PF9ODLB56Ty$Yab!$G%gQ z;kMl;dLc_0b^%%gRh)dkUl)gat)7wbVX???d74GbpW@l&^MzUk7UPeM;<+H1 zyv~tpCuoN;e`mJwME5}83fpbe#1Sm&x%FqhcbA_){H3U8Oo!!WZFu!ABSqIwz^>%vD>wVg5U*GGm#XRmng#QWjzXWe z&8+vvs<&{ihN2-scUCOgUy< zEr2zv9Rfvp8NU$kDWIl5(V6_Xma}~&B>EhtRozNgCW#RR6-2uUrjYh-kG%-Wglr!Np05cXBp+nZ^a&rd`3y zB=;<}xD2sUkk1t8hScc7F{x{l@Ph}h(R}CzIQ(cLk)LdeIaTz_bcONwWMj4fV+S_r z2P(|N1%Ov)*>rn`9&+ojcj%*+T+rtDb;>BMaXPDvR}7wsA)}{gI=8*%k^d2nY;?Iv z`>oM4Ww2#mH*#g|SpPf^gzMO6EcFN>vXz)^GXZFMU6^d#Bu6Qu>E~o#6{`?*+KCLM zxy9Z3ouBbGHb9x>{_%nJ(A0nMkx_-=Ofz#Zd<)T4FrGdfFkl!x<|$d!s|$RlYeX>* zx>hy2%$gRRNBwRPzjiM=wT`96o7yD@UuHtSsR-R|wM2xLBU5Ky#^B&AS4)Q8A@I?A zxVBn2HzCOiH4`=JTi|rD6j9II8m;|B{ZUakBi;(PhQ!>_4#Mft<%`nRPIZT@RahP! zF0BONll%>kZkFt3RK{~T(c4r3&~s{Xsddnb33V?B%2yV5{Qgws&55Qlh8)DR{Tj%$ zKC`YhlZKZ#GSw>`rS(hmfAEdm-`t|GQ*og-qLF_{VD(V6LsL#C#1Q{ciX3wR^52{P zhn^mP^%(hO%W@%LJ^05Y+UN4#p$jWj*YFd0ArB+0VVJ*N$jyV_0bfOWW^8 zQMh)kiKfS`lKiD~u3IwmPisq8W)6CTHex&VOXQ59mgW-tHacC4Be;)meAhe%oEB<4 z<<^xnHXUTYshuA}+k4d3W```S>L^AIquPU}^O6+F+h^K`%BUyi9>08pywrsQPCf-= zQ%4S$4gnsaN5}rXZ%3teS^ZG-%E#QnWYcs0w(iI+Tql;}?w(@)X3G9{1IfF|-E){a zh;XJk`*M;%n>H`0U)++}cGP`vqE8E(nzrsviU2iFD=T+Qa4eBdoPhe9>isYm&gLRR z!F^H%YMlE=lM~+?PBKfX91{Gvp|0h{yNW+e(S!fl>+WXhQz%Zx+3d-V-M8|5Stf-go_p@^Ua7rLdvc>>$#(zrYMhv2daj^%dJ4j#6m6MTpqFdsPU;$@g# zbwIk=ni|sIPofytHip!D`@dt-6&sk&7hh;a&=dUkoxEwPy}ZA}7FZ=eTy(?v+1ppK zx7)#Y3Rr`dF$8yb&QPUC*bU5cH+SJ~3tg7p%+9V`S)Pp+RgL}>b>7;K6SI5qiiB+$ zpK_8|yTV4;+H%5Vh5ergNi8F!rI$^DkVbrE7e1Gn;owuA zb$F?SvF;_KJ$)zO~bWj`n}9;^rOQnfVH zy$CgO2huS5WK>$t@NIT5PhoMY-D`o(0PRqFIyWZgF;uLuUGn7E`c_FIWo9~_9%Wmy z;<-Wcwg(kvN0)S>^?rcfYi@882K z?9rRzp6UZDrE5YjXCL^^{Jko(zmLK6?fN0ViC^^^b4JbY;JFEMnFlbJ&wv;B#oVXL z)P~c#)irJ@XxaQ<>PF}eiYk66lsfYM8f5UvE^#1po()^;N74tQB%e6WQTCpmx^k5* zp1Oi!?UcOH<>zbU6z3Xq55U#I$gc7eYuY=dvv-pPh<|Su1Gv%as!L4CAh{ z7#8E4X_rZQg`hWW>?*f)5QlDCg}gZ$Nfo(^HOOkR6YeD0*D<~5?b;dcz-_LPrzh;I z9_14rnxBV~=j5Hoh`0~NCgLZ^|0czj*~Cg<5N8a~CgVrQ$@Cd>+Fb9j!RuDL7-+Tq z0?l_--tOf0A>V%H}5)b#l2B&!pB&@Y@i6?8i%h3*?ekq&Wh;CD6oZ2*pf z#GXK*3S>nC{~?^P=hL4mwoD+L*9Tz@6OdgKnm%H49dIKy%iyP12QmmPTzKvMJ#~C) zPrj2`ITz~;)vwILF-5Sj>qugl-IO@sJSp+nnh_mg)X?u(P}a+eg|@Kqdu`4}qF=SkrIB?vw@;X;8ide>S&-&dEM46m znLS}A_j?x1FH;rns+yiNmPagozZDFejGs2F%_16{e@F10alA9GGr$XwNa5xJ=|28g zlNrj0CSEY+(xs$j@3b6t%z5)rp?O2@NjA~vg{{w7(19jjrGPP+O6*j;hD`OSj;VLk zmS&kzH$ql2YcIL6wiQtI+>(>|AxL2N+=L2lZ9O<2-%R3DrS2{GE&UyD4l*LhT8-Zp zWj&fWk0v0~4G8jz;R@7jkSG5wt%RnMA!?hC2*#K7p?FFv(j2VG@uS)l<`milJ_`sT zMX*287GitPvZ}kPqYSCayZOV~)h%|zx(AXVebY9jC*M3vqub{gH(ScnFiawe;meX5 zLS0;2v%!-rlA3wRVYI9HMTz7yl{Rs2%a7kfRyScX*PLDP^qRk@A%0YSre`(lxQXZi z`~z_iPO`9ERPa=5=Be!)r_{wOF$KID;3318^r=}vTU;BkPFBcHKCE+Ju^Wz=7;!Qb zLd;bR&?v7i`ar91>eC{hP-5tYjSEwWZeDAUUSBfjjcpu{<70s7yjG<4b9sItab$9uu|~mv{3~#vScN^%|BP0 z`Bcg4Vzx5hZ0W)4*TT+ZwT6r}5S7WZ?R3E;(nP^XWj-^HtG3l^R7s$Oozbr14{o0; zik{ZmcIJ^-H~g9~Wf+*+()Nnjcj2D*1~}=RhmsmpWxcHg5qwU;Nty=z%3V83>w$W- z6DM5Wi`v*aZjEGWS!(lqAa7Ag^;q=u;gGXd@Z4`@YT&n%W5it3$Zp_y@l9^avB#{1N7nPfW@Rs5*y85jXw;Dq^gA`r&mn=N7Rbc zC+Y*q0>n&#&a2J8*qW!}9xGb_N+qF!yeaQ73;0eY!cr5Q;usvtdPO|ht-0k&(gPA3 zR`$|%Kozoe?fw;;$p&6S)5VpYxijoC4JhWikLHXA4Ktt>GDy2Ai~_;Wg&*&Zyyybj zV$AN9bK<7kpE9jn=h1Ip_NNx4;dp)4wsBFn)4Lc3T#ee`ybyl!CF6O6I)%~6U8*m9 zQ+kSS@RTH28H&jfkfJ{HGIjZ$?XBZ4dFKwb8MQnP|0gub3RG?ShF#G;%;|CK;3J-G zIfms>iJ$c-O zyy^Q+r6W{=1JE!bjsL)M(btlVt{o#)FmL*3^o(K0|1frrF}g(mmTud&jnlSu+O}=m zwr%^gZQI?aZQC~9Ig`n~xyk&KnQv9u^{JAoti9K>)(>^;f=_3v-I7rq2XEbap$Jt# zd6{N@hwUVPFtr8z?7ofnL~oB$qTv&dK@KZ4W21v@^_3qF57iUWE@cT@@-b4;X(db~ zl)+5U^;K87OJ3EiRFbao>VEtvCCa;nvoMRY6QKm<_tSmn+!miFH(3-v7cUCueBsG6 zV}^S3+$zb{`{=3h;w7CH=57LCsx%1fwT8RY%}KaIA5L6O(2&BoL9|tn(iSf^K9#_y>7 zscx_5D}LKnX|NxfP~58*YtCh4RnH-8Um7}BeRbXqb`Q@I1~U*gd(_1Kjx+$-<&JWZ z8pII!c}zS;@E&;BIa_|9V%XzUHecZm*h*n1nDfZ}x?8s210*L3R|zC}9@7JROs1=I zm`F0o^n@EVPbkwHdCz1`W1Y@5CkS$0l8@uD7>6_S)l+2nF|@G@!&sk9Qq3!A@0YBI z#QIkw-iRD{@US&#Wj0~&c=ba{pRClFJsPiv4>v3KyN5n)#)E70%D{E8tZ+Bwk*6A> zuDjW~{f;|e+>`RtQv|N+No3D0s?^bkdO09kVejdnEp>xIdl{CXPF|`NlHV*iYUdJ~ z&X<;=S!08r&XR|vi|x&o0cV@ecWB;Yd`lDZr$Z(wyn&YBK+0qwn93ijbVoxdGylQ1 ztWD;yZ%4vOIXP)W|5`=w9m}OHR-f zuEvoo|3*2Y>uin<_yPm*K!&`vS@>eR+OvS6>V+tsAX6KO=hbbxlB*V-KZ25ZXeYnQ z#a)PtJ?eNzA!CQV??AKAyn}=8yGOi@(b*odoVCg`h94pwQORL_Y-KUMwH*!6k3A3x_gUCeTMzOkK6A4AAD;>nyR#UR37~ z)J$Bz?Xbp$^da}NkXsGe8{iU$*HSA zeC)QNHyX(Vu@WGK-XJ;1TxQwqKIRWw>+i8Yx2B~4QgLumw=G1`>UKyYhYNbH^uRL~ zC4cx(=`b>BmoAeJUPNk4&9I@5%b|4VbCS--jn{Iivkf=0HqnvsxLDuDmEp^L9Q4*m zlQ^n-s@q2XOxieKX<7{HBj9Cq-DN^py6HtXBfS*pLd2+#Zpl7eJaP0IF(v@`SsREh z1>Jt>OWDVPbn@bo9(f&ZEsMW(;0D3ISP=cOV? zoz!i3N9e=z`du{#sD&<@C|GvGY(e&^Ph3GLcRD4y=Q_gs2NqH3Au+LtMLlQuI)W4I zp?AFp3-y$?hQv$~-M-ymJcudJA)@IBB8paRTUDQvnI_of2|Tm@HZPOWRS_k0A&vOX z`e`k3$)V#sK5>1P0=I29Z+@_Fhf2|h*n@2-_`CZ}pGu0FYN9f%73^vqOiuU-I#V|c zY2~NjR!_4^_ee*nQ(Q_!p&arKNkQ+J5`Y?dY%8jlhP^c5n_E|lAyhZ2-FI&@kFHq<~1twFMKp3t||qef9ArrMEuD!IctfT5iii!ncH-kLU`>mrC`uoizWJ_?~_$dqxay?9Des4Ql@=BkdXc|5QWwy?8WElsYliu z%<06D=xNzWrStEq3OfM3@idkQK`xk=0^Kz(H|94nUo}@mgmc`F0FvQ>OAuu z_okM+nT3irk--AdUvwzaBolODOq9|x(NjfVx#;q}IZj>oQbcf1$(Cl?szmR*S-YuE zn12WDVyCG$aam3-qm^ao_Zv?+y&8Fk1_?~gNte|+|UM#n}{-RHP&gL z$8Opc#s~ytH@MJ}c-Ct{(mLf3Syn|$apGx-s0xQ2UqPZC;(3bHT1>Fjz8aa(XnU~g z^k7Rlr{zu&49=JFvOdt+ti}A|XPf-K+_Ko+Yg0S}=@DiaS7j)gs@M(#X0K&`uKa-B zKwp{~+Q;webK@+^y&<%F{611J=i+^ntTrWFoDcqy@NkGl$+}dNy+rG?&8R_=d~+ES zY(7@AVQ+x#D;)jkmOxVNG-IxcH1>hgR8npT8H(?G#>m&Z`>gd!XLW%sPg#*7s{1*( z=nXcrdm`E*FwBpRYSZ>e4TFcJ`)x@*aXh_=*?zU%i#Ht4K~t$f?V_1>6>LL5_9Z?t zR~csjiXVHsRn1kYcH2~0Y;3y79n0~-tw)UeA%K=UW)n*>kp`v_Bc_#ocR0J7&c@#* zkbmc_S1>R4=-0(Zo4t4vPp-n!ShEp*H9iqiJ=LovAAgYRb-{ud+U20`O`7PSBNWI* zn#d>RJD8ys7OFSDqbWNf6T-HSZOl}<-M(cy?Vxe&UWh{7X_qt&fZRR@Bl{1&Gy8w? zo!L2A{>y3pN0hR$v;NoJ|MZ=i*%|-;eP-J~Ys+k_=+`4?o$j|^*6whJ>D+biD6R{3XkO;G=ggK}9AWABn z5)gN)P_d$o4G0=z2q_j0)IKBZ-)%?gy#XgYxtMVD0LJ^0H6ZqwK^S2Mko$@N*h3@% zRfNSrz7nnwW2r4J0wokHtW+YZE5UX!g9jCGlEecOxUwb|?8v8=au5VEnf|0yXs7@M z2O7cuyE=W>)V@>D0C8&7zoi0j0S`? zOtG-oKbn-97dhYx0ZJ@{u`)!m+`vXSQz9kFf#m2-pg%%*&qQWDgiB%YPTaC2LFo_| zhkyVEg&1ta5KTBVgcxC;hCE_%JOUD9T^1-rC_t)^$k}1H0u4~&3As&3YKK88Jr|Hf z=?*8XI@ye9^?2VBid89^((Xh;0yi81M=?)3kw^UJ_vkY$EHuKweXa=fP2sFg%pU}) z5oL#1HtabD#uRW2=F9*gUNZS$1x28=42c3YrGM>9B%-+vGKm)t&_R?18q8Tg)HPT_ zVn&UyB&l0s0VI+%oMd-3h{Q$R>5>L`e}Qtq_RtEKLS5|L((dYh+7_7*_&}_$BG0$sDvI z4xvRR*d!q+LXc9|Q{fGSE<}>Zk5dZ27ouRp<(${5;4J1c6(T1rQjl86R#SxN*oEv2 z*(SvqR5JpHrb_KyR4NXLno<-}ZU`Ac{u1gQ9~bOBq#Q3{LJ$tkfD$4P*grua3I&lW z{R_Lz;u941Z~H z8`!h0pT&ZxZUF6oMncm13P}N`0iM*D^jjfJZai|gt8OhGWv$!%6LRP0M?Cj&h>vi@Pvd+-(HX^x9*qGaqXbl)7qS!509=C z@xA)wxyQ;6o!d5@VoLR*`K5Wv&m-5esY{#M2Uh!L+OJQ2`h@m9jq3r*$7d5$2<=tg zPu_%=#c>yEX11kx3=?IIz)8#RXjn&7r zrbL4)w^!lu*~?OTa^RV<_ArKYDfTFv}l#4%|XjQV~<=9wemcdHo}^>PG&s zVwwGf-A4Ajy+vks?NH|?(T=v#Qq@AIbGyLaIDa4 zw61+8;`_ZpG&va`5ND>OB;XpLSA1~xv*@ZYfj(jHnDY_ zWer@vT!?J`<3Hl(biGJL(D>R9W)xdpZ}q;T$6nqpvX9`OGwrq(%&JZ~(zA{=eB8g* zuR4lnKy7=w$<`j2>1o}?QP1y^pnJZkW{4 zEEZ;Jz8%q9C(}$tHp=KJSaVJr4tF|-;Gq@y=`)3$1aW}nJ<8bdSHyUuF)uF^YkeQS z#a+X!j}Oy(5gm@|3pv2=+qn2h(5$P`Yc)px6 z$SWPTNl3En&d(STI;5-PguNH;zhoX0rQIbW1y?Sj4&Z zUqx3ncfPLJoHL=|QsPJAMyFM8-=yi5@vHfqOV8d3LQ}RVg)?Ma7$1&!I&%Oj2FyHT zLVc$~(<1O)5o1ggJF{JGMqE^>$g?rT>%lg{pJ`;WWO-NUcT@G=_h3u3h~BLiqY8uk zYWlO4t$%BI{n_T;ObF+2VaCe4EX>qGS)NaNRy+OO9=nM#zFuBlk-h;)+|<-&$n|n) zsq)&mNIz|tKZ`DB6-GSyw7L8~>9lN2Uf<_eJ3lyu)azSwqICEp#b~^Aa8u<UiaE$*SYfftg{-r(-AIhq=)rMXY!+o*_|~b*|gS}SzdMQ)!6KO z3+*owY}31XxH(f{=Fbswsat6c^S($-w&@*%`dv!H@q}4SUVKgJ_MU&q986d2gwW#a zJz!mJ4B&D+tTb&^`;AEDizk^>D6`L5w_)AX>Tv8~XlGn^J3+hrim#OKf{+!<+f%H- zk&A|hemlVm5&w*GAPxAenL|4~A?v!~Ao`gY6f9uy_vFqAO!#Rj^$-*yD zgvcav%Fq;*lu{%usz?jO!jW5SIs09Ls0551|^-kV$3%U_OeY-CNy6h{I5 z8N`tWCh!(=a&UA8_@jG{niyff68stC13^#**2X3D)K?Kgv9K@$so~%nA;_HRfZBz9 z;9!h|srp5#k6Z&u!9=Lynt)m0IEAo==wlEQ1Ne<69e#sl5GND&8$!LD4*qrG9YNR+ zFVq15$>A?L>A_P5)kQ!6F%h&d1$5=bFPZTq$S){}$T9uFIDYA}hAGJJp^P}qG< z4^A=q(E}8~;KAM)VD1Yl2Ec}Fd~!5^Sak(`xB^B^h3bJ& zD7lCh4UqVyc%fg70mNa5AgHTHvf-e>VBdc!0*EsvOSyO!1(AYbjgh7UG(Ct$`-8yy z?I*(lLRY4XV8jNPF+~Ria=S!N0=B)1`oVjYkNctGjKcoCOc4JD+`q)He|gwofWWqc z$S~?6gW&x_L}|i|xQ&68f6p0zaz%KlwF_g_@vbjK4U&hXFc7w((b9>RDbxg2mUb3o zW`Z=z-59drA)|sar%%9)j~^U44I#F`y5D`qhaxR>c=HG5(#e=X-Ua5#kar31&<-wi zP3cp1NdI!r7YG3+1+oQCNI(}vwV|C{<*7gU| zhOGUQ;^>Tg2bKUAa^|bK-~i%@6ay0@JKos#XpY!$X&nEw_JeTvu~@%Rhn7YVLkS`v ziZW%Skhx>Zhd0xR3Q&^u#bmQKzmYy#OPUn|Gh&-xSBNn))4-r&*oF_k+j;+83vxoQ z^5UY%okJo)GY0Kb2N1@H0U-oUM&GV2pdoD!*HTBDm_S5q-BL_IA?;H?iU-XeZ0DjB z&%2NM3s@<)(uR=)CQzow3Y-I=2IK>sLU(?*CrPvu0(?I09}(eQ`WOZT8ds}@LiWSR z3@mKI2op_&KrqaHBMXoKO}Mv`(q(UJBj`u)(>Ko9&E{8F zi+N}kbb6t(X;waJJetb7N}VX%j=wC$^%cck<_cR_*KkB5+ynr&O1ixHZ!Zs{D?(+5 zu44P1nMLJDWXZjqM8Y5kd`}(AiJR`p&lO zoL{aESM3)Sfs?B*4*z2D9%}HnKle@9dEz1+J%R%gt@xRx1W~uAPEMA1N4|2M$%U@n zU@>^=5Ip=}6mj*#`FLHy81ko{P!VE zxL#DO|L~9o@!@E2yyfNe!UjRhA5JNmZcbBYqifgLGPB@e7h0)p4@|b)f;OVtW!p&% zHL{}x|3xdcrG}9UT`@Otn=JZp`P8^|FD6IL`uc_%IeN`U2s9hmJYRFQye^rH z>%sC|l!>{WI@jG&EwEobYgxrsN}lFVjE|A!UJvJkw z?6OZw(woYJ0PZRL3l8cA`jW*iJRZcYy{zZuT?Px@lAcoIMc+U@F(mqZ2-Rmrt6jkh zAF<=MUnap5x=O^W$8PaFS$H`BY1FEJL9S`r>0yn`G-p_wcRXvdYxsi%F2;W zR_CLP93RC7+k%s_dDBbgo@&i|gc{!xNV~L8xY^Hn<3vROVuI%}l+pXRHFC;CJ z@K5~>9IIruM$*-?4>hmxW}yOjTcuQ+PA9H(j`l?oyGcquM&5}j;YQ87)&kKgu8Fp7 zJ)UM)4i*Aa1vfXa2?9*sHfKG;GQjGs?>MG|p!BbQ{(9CkU6NJEu$iXL!G|jkZ%-F$ zze2W#UMW5+cfNW$A*!UK)>j`mg1oAhu3T#|u1rG_i4vfxhe**)cs=&nnyx-)!)7#u3O-l;iH7J=5wT z@{D`lNOsrWiRJAgx+2ia8?99Ge5r5b1kW^uPG5zc!w{fXm{ncemiX6HQ_3O^@X1#C z*wCoLObpj=*DwB4+I^KXpXw~E=Dm9U{+e*Zu?lk|g{OuHhrLigZKecES!V?`XhDkX zFiU0TDH?TO_ z5?`*^RxuZUZC+waaH5jav1I$aAV}e;LQX4TcV|=^ty1s`Jr%nN-wj~p8CJ=7wjTSr z!l>M;sGcnTwT&~y@9S|Y{Y4&}kAl;6V?;;ePA8|xZC75)SnVc#IT+?Qq|1d`Y@BVH zF_^Xog}+}Jmh|8Q z^?gF(jaKt{%k%tQ{Dt#k^lWjK+vohna+f11RbZ+!ZLQC>^){#Sl^K2=1@oTkXlw4qo$9cD+>^sk$p=`_`47Z{(kJI67J?6hIV4^3N}Lx1dd?w?B1o z&({&_=FhXY-3R}In4U0!itB5xmLu!T#HmG--TFmd()@E>P;ahLLzoYP#tZ+Nhmg5< z#&C^Z3CT)*BUY=GBC02!7{ey$G-?(Xj2DxeedP})K)Fwx%1`^~h;MH48nj0SZeM^( zE=8ib4xVGU54Fs@_M=LA{sB5}0z(U|99u`el^H5>gtr?z7bWmC=eGeH!}yKE3sq`| zB&p2Wd9xci?J<~rrk)Ia68tr%O!9B8WV0*T77uhbhsd|j{xkQgkv|8=mrE=IZ_yps zVISyJ*>{PR^}MAVER4qTZ4G`O-}K992_JvRo`-O+H|A`lrUIH3?q#;OJ>zs=50BHj zwV0A*@0mQqGu;5c9uf|x*hJUQW5lfR{OxwuhQf4CI$zeRUi13Myy`ecyPuUF9?G{q z`F=*0Frm-T8Dv#wYR~p^OIOg={^+M9tYT{Eak6LZNVfEkg7_V0-$c4|YUNwdAgAm( zGYJ<`M?7klzEX5-WZUpmUQd!3+tr+=gJ;1G!5uwl)u*a2a!Hs|%^$7N zl@4N=UYy*}#*-uJzdU%g3sLt1yw-k@<_11eliTF)ekttC5?EVPcx08NM6#!`cCY?T zi}6^Ipq26=G%8)`xtIbOON85D$Mx$)+5$QIo<~F@L@$UK&6E{t6eF1vQH5%W5cEYhKg=Iz0(nn*- zSA2))?P?V}k(^pw@n{osbn;+lNp>@bxO+OX5(Du4m1~YVG?PZ2KR%IY{9{(;ZumXm z1`?sfC(x$T`J?mPA)lX`9rls;?x8g1{!loa!Xj0)GTP=V8)zDcZxyLKE6&hz1ei5x zLAWV?on9p<)7yNlb!`0dEHCH9!OtD&$@H$Fm`F+yqSC3(@@lk|^n8&S3%CE3Az6y1 zD^nf|AhgODC;Gp)c$|#?VT;Gi&hg(h7R*E}%uKBR(Su-NVQ2e4CdB`{)uOr6R0VIk zkqwS`KsP9P;9v4>n|uH}XW$=ReIrLC=m3wjwGAp1+{FX-YX6YqE$=kz4e*N&y}GE} zSnjF<$4Dumxriw;d!Z1d_D0G`OpOdhEGYP6W^WE>WNN4as@1-R!vnmQp`pQvL`^-C z8!&1>>zxq7gf$Mi2cZp;B0G?v5djGc%RoXdhyw+}Ed((GL_q)~Mzp3eGz2^jQ^52C z`DcwM7+W?bmv~4pAru`-0u~y%&Hc`yv9TTuFgq|i{>HO-Yr#Yjkke2R+mqcCi{6iA z0+C>>WCB99-X#>H2882{)DLE1X=9C0&jD!x{+G(%_(PNm{F4F!&F0?N_8AT&XbcU(bH~Ke)zQJE+0Gf9d6i3- zfoB7#kRMu@#NIQzH31FqaR=D|0U(cpn?NL@+CYD)2klmYDAY592jv9z1(#d_*eoCu zQBc4df&sc%qEL6YIjsOENKVi|fRM4})t7vAP*fC1|LhtJ7(`HvP#KbVJ=59Te1LGF@X6*jMHL(_^Mq;BOOEB-N;tbb%8ClQ0U(^pCV$0%i)_9sqa%W+`b3 z`yuxX_d)6(oPaclWNDz8QQO*@f>o|#-n99lX(QweyeSb+0BsGnf-nCHTmZ)XTQDYO zKmULQOh_}?gw$eK1+@eJEnNO( zkh8J2c|m+C7t#a#{M7myIusC32as>~55b#!$oM2YV-qvDh!%dME)rnk7c6rdT64(FL5V6jbFY!gzX=n9C+3@PH1Iq0S3;^1;zuwfC`7a)kP6s0BSM&>BvcI zsLG@PfYuoSza%1MZx-4F@POE4Sc9u0ldHgSkaKW$Ik^B#+LDHufExfSY(OTo31V0X z5S~syKajIG)$|200+MU6aW4N2nUe z>|7uMzMt+9vH>*16hMRk)U-tiW~lxaOmr3Hj}#*Rz8e8KSpEPhgthcT1Qq=8Z}IQH z#ir%2U?R8;e?*IMR>uv<*f#sL|Fz`N0SPrh7+AO=j4$(e^Kawa2Dy4)p=s>HW z^Bp12XWuno0}ntDaF_XG7@%Sc!=?7~?{gI_vw6V`K>`B66HCv*eZ~9e^o`-`#@GU2 z0#j^%ARC3SW@>&)3;^)Df&T9zbQu0Z60&LjG$B-$=lcfGVBg2U4VvHJ#6|00;KU%` zy6_=8H;5*oGPiXq)d>&RfCM3*Ya##CQJBoAp?pJ$>R_g$lQ+Z)E)BrgN4~Jg3rQ2G z$@vu^VgfkxPcZ$F+($B@k>eMr{}^ZI8bI&9Pr0E{n9T75R`>)!34Ll0=JG8~gb+bA z+d4X%<{v7^43Hd$rpC582m7)%BvuCPS_hy5P3%8lhD2O^V1_^)zpSE&6m0{75}pYB zg(4#I{G)BQ2qb~&FNm6%L?*(4rrt+K4{dcGV2CntVJ@5*flW-5eKc~dzu@;VQ zZZ(P0!DxpO-rsifp8&xD4|Cry>dhG$JzbcjkUX#fiLsbYC60n+2$~*t`G5$v@73h} zd{`K#h#!U@UwzO3LH7dcgD-h+H}bUxwlnh%sBsi-&;YbHww z6RO$w)Yjzrn<>-N3k*jYGuAPVWFS^?gkeu@o|~feQ9VY#(ga^BTfL8m(HeuS7U0bZ zj749B+=5sKyKZ=#FQ;&PT+=OjZg~#V6x;_lQG}JkDo|@!?n=QorX(}k;9Csoq?1`k zQz2)<8{c+kToh!qdvTZ|C0I)!*8|AmHoJT;G{V~AcmT&q`I z&;8V2@~eMwFrT=*lu`dgf~88BQ&dFFUh5|0r+lMii0i;a-h$5sO^wNbyBAxGL)4Ul z-8y&rt>Z34u|$2Uxk-PFByey-e0XT!emPk>I$K4%fX4hf7@Nln#?2qpF`B(-M{}qK zmwXpLj2XmkXIp`2i$D4O?4sb@3>7AMF!{V~p&ni7??V`6S91N~CKy?!QeLlxU%^Ir z&zb7bLG+oE`<@YUJmX1tMTdd;D1r<_2xVO+6MA1{qL?Zecq!4+QpU5XOOhqRdHSFu zgi1mp(p{u__V%|}YOleUCWchhl#`N#-hOACxjLNaeP7ztn{5P^r=CR6&=DWGjV4S! zE6flQ7ka?wgVErKFUAOv)N9KVLG?|q^laJ?eY7%HL8_mI(6X5=U%1z{icJsk?r=dx z135>HzmnUx74_Jxd*9yruiq2n*KIoKph`^sXp6GL4B|YbBx<>=@9Td!Hjnm#cz+(#VJ?iY zP2-nxTaafkU3f-?3qjg%G@;k`?NVAz-TL_N=SX$DUA*LQjXFPT%bK@Hjuz(r02z^{ zVSS}`bD9DFDtgHzUV_2ok!&9tvLh3jxXkd5oIltAr zC3enb#?+XM^l6o(iPVyRERF!GRhBew76|6CJ6IQRebD*w0v-ouRutOVN7Vb&*@L~9 z57M!?m2Syi`etr@;z!qW=mSNq=Fe_~D+2dmBahczv7FMIK+qka(C=5J*8T<)SZasS z^p{N;SXOoobcO&YEH`mt^HtM&X1p+>{JpGTfW{*kG(sk@s=|T6NbMn#Mhs_l#KbczuRxf z5?L*{_Hz7uYw2Pu+)(n4MOzOi))K7v)OW(BN7Fk|Gz9)??0ZGY zFN$sX^e>JuZk<=P@tL96o^07`nmo9686lB>n!|P3lecWw0GmK!lDO??LsPw0U_nZs zc!z9lhL=qKdgks{9kdMGW{gVf&Lom$!59r=5n%JweBZdtnjwo}su^`$j}o?P?f7(w zpCAZB>UTQ-`aY`e;)*)mfeMF$OrSk-&R)vp?G6~CPX@6jSrz?pl7_VfUSV`RL3a_Tlpp~hiOTGSeW!G5Phg1_|di}@(aH+sSgaeM$gH7Y%ir9j;x zqEACkwzUy;_!D=IakZA?8RT*MO=FFspK882-A>I07+v*qSQt{-5$jn{eE0y+8X5eHl%0VDYXdBx9kzO{A}!c1I{B!ssQW$QPZy zvKxNQd_^uXMSXVh*X|C}0;kr=Lb_Qf?(LrG_tSCH>~V^QOh1Md4i~H0@u*+57!AMj zbjJ{^Ol?%5Sj9qWBja}4ZGMN>F-M%?nj2+j%Y0WDkm(8%_@wzBpv>Hfm{X^Ek7NZ4 zr0Dc1Re71+#pXun7W5^LN97*1>79v%Z3t>%d*sOUDSCZ9hsd34KAL7uZuDznY$Azw zzAlO~KH7O7kFjMHOu=u?|C)4_xt&3XspIy^EuzZM-(7}MwOyig~hD?nB zufDBR;T0w=JFIYKP17|Y@t0e_ubj9t#+=-kZHs2`=qI(eG)ExbQk^LD8HVSjdNe+E z(*t-RUD>#CtD^_g$|diHBzeeJg6PB!-YN+=T#Ji#7`YXa8kmYgGh-jT#~d6nuYciL zx`ge(MYkF!Sv(`xCV<#ywk-Nrl3bUR!|N?LzRzN|MYQX}XvHNfGCeLY2AkziqV|a) z1ktHEv1Yak-AQNvJ|M2b&GoGVU_bym>Ja2;;F}od6dyi-2awm;S3wdB^sro{>N-*X z7_w5|H5GKX3(KpsW1-G^N!jjJP8;L zkGmWmv@eeI3!|ZIJ5p%F%x$+&5L9NOWsN#Tri!i zE~}Xa2z0&G$-@lj$2k!pH}0-BjclOGkl{$3hMct_Kzg?uA(V3v)zc%r`p5`240(AL zf8h3dC?mF891fp>FnqG1mMQ!Ov;jyZo_Bb@aF~i(>*Y`58ERZW;sqg#X1JKTG+apR z=tG;;!`jl<9Xn&pR0#GX?Z-a4Wk5Wdit%_&h5L+pYx+C_q9xy0AjdYkswni!txfr= zu~av|<)#FckgJ-xS%-mR=os&;1m%cA9ia2of5oD0nLoD3JV`j1BkDT2h#^{_WNR+%To1$1HR4QlT2vIe#Y;#w#G+t@61^@#~MX)bYtR z+el9WMzuN^y2!*InNviy%^V3<(c|5@-zO<~jh!YmBV;^o-|TPJ5|}DfyD|`7d$xSV z1yy1;6uccev4?^~WAQ!+9=Rbx zHO7v+NE*9$Pbq%M3>$Xu*-tMruZ>?%xFT6&2)5!>#+E7A%J_en4mYHptv3amywkx& zTJV0)UwkctbV5&**!-9%`e#?jpho;CM`Q+x*VCD?<0NAP($6e)1d@9qJJX5W4fhQ= zPL6rrJsE!=;1%_@;G;sLuW?t5ABu($DfMMZB#a~h(KdsqKW_WNjxJ|>A6vU9e1nKdF2QediWOP8mwX2~}rvVg*|Wv4v$69Tyj{>3{JO zes;m(bx4YB2Ozh7=g7`geT(icx0oo!nGyx~6*UMCc4T8EDXKB$;W$~&doV) zOImi=*fEe@J$7qs=l^}V82ZiZS)njnj9HoWEShx1nz*IuET2KrzmTEMapcvQ$7f$v z=<%^{oo-(Eg^aUTm`k8U&^wT`EH+MWI&S$q*5&xpD#e}DRFM^2Ezko5o>88YdN}D; zrstp95K@M;-K^?`^(N(+nctITcB<}`iPT#}2Z}Q6orr2`r4<~iX`pd1#?Ms9w#=WL zK`~GE!S4E8XzXw_cBN~|*W(laj-K&jU1Ts`QD(Zg79b@sdq4iF8W%8JUkqN?mg)BFdtf-+=_<=>zo)#zAD3$-$`*0fE_fsDVHY$`qWM${fB==_Cf zziayiC|Z{OO;&w$7I=ly^Fbvz}; z5wYFg9ZoW`^!XrsXtV4Vz;?gfcN8%m^6d}Eh$Vq6N*7D?A< z9h^@$CcRU!wRuFVU4m!$2(*wVDa^^;QZWS1-PCgvs_@$#yUhR;?~z2asPQ+6%lYCC*!SCA zaA6fWzTiPQNVGm$ObM|KfzYt3@m=S|e%5sySIQOrMRr{(V-yW4;kiY_g=g;HU-YcX zx)-~^%QdvS;~e`EjRbiyei0tK=rL}UGz3^^ZQ*ZgLF5bK{Po1LGvA#Hd+h2Q-;|xX zmhjgru&W`zr_e{oxaiFP&O3+?)yqq#5u@u8JntdceRiy#PQhOBZo)chEn;WaNvuZk z+N0avCiXZ8`=OJ=BGe%Tcc72eEgelZI195o)^=kTQKOh$(y`7h@2Z9c?he8fkz9;T zRtr{HKS#TZ>2Z0p&a(`p0tomQ|46{OhwDCLz> zO0FE#kkf51L}TsvECl7TeW} z0IP4SRwq_5%3w-VeZtIeo6>_)z-%gOlRSy^korV=D^Z%rvrj*<0Ckc+2NhIyG!9v6 zOj#3=yP*>kxw_}2cJ)!+G5kf#Ppu+aNAq66A-ims&abG0{{TdrVP3pd*H`CTEX0McWLzxg~0F&8fG=1R^T36J0y8~C3 zSz5Tj=uNB{+y%aW#SE;Gs=`6i684+csDfYpPMI~5uZo)OtpsK+zd%kFG3IC$g&Js_ zn`#Xi@w>x3 zX#_u#O<{EyFWgFVFg-C|(~C@;C#GX~QD?wruCAZPJUTRhEfW326-@DO6+M{i4^OX= zm=b-0VpMkOL^zagAieUk zBB+c+)wiVbDojOnGDtH)@r0l!dT&Ru`CYt3F`5lsQn3634)WE#@6lmUtw)AWUD}2j z$7Ep$gUVW0hdG?>9V2fSFMExBh0{NOlKGqzmm`>u;@iC5lH3g0k=(yg?(Ut5b!iS4 z9T##Z9b=N>Z^n5BEg`)ixUO68P=fCYjo22@BxX#r{+<(Y8o$S(_zZpRJ@gf~Sol6i zFvn;}u1d_8i`?Pl=g~nxzBz48FCX%9m^tz=%~p>_&fY5j3hI$GG}hpQLEFBzX@etJ z(cG{20!5SEK&<+|RbQu5WRVtaT+Sl`P=e3!$qdAVQFQb0zBC;|#$9-)yM#TIBpyKk z^x~M-v)*>L4K*F`Uv0B^Genn1EEuh$q8%&qXG0iweL!Hl8X=Pa%S zse80 zt>#G47#~Bd>?E4e_uox=J}s?cB>btL52EK{r4`C)k6Mq4e{2c09%zg*!W25LYLOr*34MBS_pGrrD+M=UDs=kzBQAWWXCrR_W3)5fV@gIR|lFcxpIu`7#HqS|iP({7=r=hV- z9n7hGUMrm5cTVYd{inXkuZ4bn6QkXp736oifpJlr1Gr;DunQ*Mz=-Tbo1UHuLKw^0@R?Gu}!2<+hfe*vNk7FO*C<1b== zzAEIxuxuvnWt;+)L2e(*g-Du!S}2$_2zC1l$vY1(hmr0$kP}5Zxa1hHJpS?$cFMc( zZVt`R=wIJENFLrKwjhP(UUi&R-8qZQTdiqnDk9#t1wRSnyH%>^#+1H0$SwJOQDT$L zt)rFBjf$M>>JC?6C>70*&EH(FX)@7i46USQosFe)Dnr`f$fr>88K6t2>h_ni>h+k= z+$241x0<973d&XyV69$t;;8@rIyct_2uZreB^QnM(z@}iW76fe%1$VQDqlsOyL$l> z#xDG&xbhYUl5v!$E!aW}+jK`9wb=Es+f@H?8R6hBbV}}ZE&>Z4S z;(4(Yo#u0YTrvpYsP3Q$cv2bpGFjl6xhDdpug zQ|+b-qL*3+@pmNup0IRDUxfak=n;fiH%p-3h_M$ISFoPAfb4;c8A>Ksh-};)krP`Z_m-gl;y|D*ad@TET=<8B-T1; z+u+xePF-=(qGz9zyilyoJTdd;=Nnt_K{T&%yKnjMxc@B!hBL&S8JfgwVB(XLmV;n_ z_5I8ePv{h*Mb*J9JO?Yu0x0m_omal#jwzurgF&y0)x0Q1Z@kqEgC|i;w-vMiiouJ4H-~rm&NFmgJd} zM#P17yfpyh+-vHr-CpGvEd3!VXX`;0khn<8jq&2~p|Gux-e|R9iVH*=r-}OgMGD(K zML_+Mw1{W5PA7k}*TNyXKI^N@(;mxI!eF1o+O4j-x}WQ@Q$Op+R7Ovk$f6<3GbG~1 zNssf@Df{Z`2mRP?(J~5feuUI3g_sm)WCcfyt9h$Je`6<=U3DS--x0YjQjg!r+Lw^HGF^uJ#E-c1 z0|m5il95TNfoSc

caSe%tPyl$wyr+~Ick=iDkr{-T2PXTzPCULe@G(yB6Hkuc9x z~MJ2pioinnm2_fYF8F8cPFKqAWys(Zc%cRm1262}TFe;<=%4(pR(q zCCu4Z4mvwiN7|b&+vVZlP`KACxY``AM^>v>K(PyI$HU-$CapCQfGlf0E*Rrf#qa9% z9ESLN&hZF>?MvUB_sF9{Sfqd(4C@;H=x8W->-7wbvVavgktRrL$(zx>##Cs>uH9!G zR${l54t!j>a8yT(5mgT*2EU3O4idp7wP4k4Y^B`J=+>l55tV6Ta$+%}47bq6pUM7D2qO`(zyHeD!tY3i(}th28#OKBybefR^1ls zEh9$iy|gUdHfEZWy}y6bZU;$EsKN&R^;_md3V>MQ+0YoU2Unaxib zPCBoDmt`Yt8K3Tc&4;a??to2pLl~$pY+s<%GizmbZ9Gl>DTMpmli~-~-Rat8lig}< zrw)Ax3t?xy& zFG;;b7c~6Urbb`(8kwKJHiK6Bp64)Jo6}axz6z^~vXi$4sKgNi`5dNQ9WA0_bximF zuRnp#3Xz1huSRNAPP@jA&C_`k+HAmW^{yc(HJsw9mVJuxHg7iAwLZzt7duheA`= z70jE_*R6`_WgT(s6U7ke`z>L7>*&yEAp7&#?LK{&eXT=6y)F={)Zrq13C*eN3WcnC z*p;l-P%oZ$H(1N9ruCHRJIad>KC5I9b+6-rr({gM3ED_iK_~)c&AA zbH%*iPMTwUGxdM~LJHJe)iNC|%)SBH3t7@Ts}7!j-FF9R3I}uU~TUwJ#PaQ*7x;_l1_L(lpFA2*qL~#q;PwRu~3k90pqw%Uz z?cVqwlpcyYZxG>X)H9@0t5C+3%W}Rl!8x*ce{q5R6XRF8nT$4@DikV>yW;d_)b9RP zm5BF26h&FQcFUIqOWP}^H0A~Gtj8s*KyT|&SFU&Ws2!tY@D;1rsjMzW5-pn>!s}=6 zz7JgSrkYH&rYj}Y<7N=JPrP~u8_+QMe!Ov!=z&*t?cQymTZ{*1B5=j>(!AbXb$QAt zwmX!(^Oiut~{B*w#25q9!p{e3d` z3qmGs;W_h^`7kI6VYVL@M-ivg+gxq3ru|6;UYL~vCz7cdIcxs@Q+AZ)BFM+h+yx&l z+mPH;FpP{^f;?6^SX?fYO}lkU(MZJhd;8iK(|>4>EIuFmC>K2x2)?P_fXT_lbW=Uj z{ut;Lh_~WRCg31Xt=n2l4KSR&9H8U+H6FZ)a=5MsSDz!5WJmb5GwkGn0@Lv0bdn?C zB4&3}V}f8+0xzmu4(MmohQWn`w9;qWfx(Ac8{XKX+P6QsY^jIYCiWA$ImR_HPba-` z`==xtbY9p|6admIRfxD$Zf;_@WgW*og4ZYnbhzoV6_SI>wvq|QyYGC(#dtPGFj9Fk zd@n}3l2%gPs`Rq9_paAQ{i3Vjc&{&V_4Vz!U>y4qPtTr~Pw9mR-$$*hvvM`6qw-MpPA|58r%&Lsd8p;BW--r+J!X!m2R z&z-=E0{uLaGf}T(!k|81_e*=Evk3(za^Dsk8RT~!|H?+btl%*L)fT*7hj@ka88S>E z6CWr9XE(|i|L+ETv)TE*+qt;|F0CriTMPc+kCW!#hs`)(VK^qS%tgCOIX<|GO~i9* z9$+ox(1&m4CuZW%jRo#wj(AS`ou#KXBetUUBeWyYU?{yu%%`uqh$T}E@Dw)7Wi?8(asCmTR(&X>1)lyp7W>lXt!$ z9&gUgWCh`)&OHaPm6mv@8x0Do``Gu8hv&c(SW3VL%o$g#dule=!NfkAO^=pL4lrJg zv?SmbD1W@y->q8a%D6V*C~oSZiB8_1^2j7C1BFoS?q6JYmnX@4Ir5t>!uB|I-=JYF z7h;!VGIH|O2!_ixc@dlm6xq_hgZ==9>MK{+@3#szhQD3U#PfI}m4u`IiE~`FXCpQ1 zyo#@@t0&TmQZYocpc=rgp zP_ruQ2n~6V@0W-pC-m#nk=)yO*oXxS<(Q^=6LJ#eaDn*Xp~dvraF%{svSwMs6nJ2+ zMqJu80y?@Y-pQm5A6nc+T}h-->W$}NU~U4q7(-N#6ggT6VL=CZ5FaA}-wY|SzGCn7 zF_T#>cd(BAwBM?&I&xrfCzcqo|S~5 zXELcbx80a~9=~iQCpv|W$w#t&k86!zV6&bzC3&2C`~C6Lcx%GqyI<>+Ki^eh40e3- zxLidGoM9X4i^`%<(GhCS0|l5P6}6KwAF1|5quL+KkLC=hY{Lqrpm9%DJ+sPLyme$s zW%;E%6-jd4%JDT}pG2?&-`=ZyhN*X=Y@Kaw;_iGa2kV0ww!TE?d|ML z)yZvxEjG>Vc+yatd`8;Zc@5fulmXA6=^PFRhpT`fkvxf|QynR_<1_jb7a2>^WTXg?>*==Q z69zTa=gxTr|9Z!JuH{6Ng59PPJe@WA+N?Hdl%US6gm0+pIsjy4_N8X%+Z>HV-lrEs zoE=m&e{EgH8T$%%n(Ymk3z~{#y;}A(FS68xetHsbvz@5%tEly#mEarOG1-cY1IGoR zAw4bFlm=ZWQXNjpbpiB>$>8&)H)4Qk0B93 zju!L_Yid6{Vf6)tg}}yBp4GWTAcfT!I<2uZDgb+h$LLd2b#X1r7p>^PYGTq$<*+C1C8IftCNxa3`AnIF9=)PU z!6-EMGB+chiV#y3YeV)6OBR*#kt8rE#-BLE7N>1os8NR*A`@py;FU|px2xpi-uYCl zE@kVu4O_KNTJ|jw3n8C1XezZSZ9FO&i#%}P7E^<3bX%lmYtkxK6NpFe4UbEqPQ^xV z9~**9+-R57>7#R9!C52Oe!U!hn$Bt}&c|(Yw_@t~K856gFZxHWhHus@ibw9+Z+PD1 zkqvKt)jVZ~1r~B1ZhpPIRh{Xj88FfP1ZA^JWJanp+!`U{~0 zOQ05i6=K%?U_cb*z_KV~qbM@8>by_-t(4DlMSab?MeOt_d~awfQzb?*@Ep&~S?BJF z+L2xaVp9Pa=F@wmECBFPvBb^>WFTKipZJY1Jx%==9X64?39bxbcsp>#3%Pb-^y|Cc z+l1V+guJcya5NW2A^2y7R!ij(udP0Kr!$2EI`%BivtHkyn5%n)i+a4L;KHS7GA zN#6S4fm9o})}oM*t=*8}oYA|#pTxinr7!8Lxe?EIqWjkUU?CP{CtS(fo`sB%n8+Uy7(3i6UkQT zjZMrC-M^TsQl8ozZfNImTBEF0(@(t47RMamNGDZBrC!R>@lV>XM9dIZof*+M$-X`o z)rOB99BJjf4-Lid!jdO0tX2qt7GcWi?PC~`LiORkytuFbc-7xQ4y{HR(=|24PGC3` zg^0sgmhDdgB`gYhW(*-xLUheaz7sa5UD!myJ|D?Ce`AzZK=b66O3$YA_Ab4QD>2e0 z>~>CJ_i*9*o4>G-Kg%Ys@w0BAA?XrkGihkh<2zP4s+dnKhoUzFjxIsyyA!y{7WIz1 zd@E{;Lc2Rv%h)K78;6WJa~q|R{2BjP|LcVKRv0-upJ{sI&HH8 z<1u}ytDNXk!#FhQP{{E`qrMT%kH&@`csHIwkI-JLG>`E>0<+55p}AW1ILkA{ zmy>K(7UKSb^x+5H)R`hL!0fBz3USp~=Cpxz87g-bF-&3Ypw}(fLPkIM&Yg%|%-3rC z_|XOf8c|4yM94-nzCM@;=bihMct}cVY?gVx%A-`-)Y_(6y|!=ce*8cF6JQl1IDmT- zrO`ODO5Ro5zvv*xPenKxJ)rhc9mOpz7{`CypYFw8A>uh(>{7PNu1MNgg1Ev-e{t24 zqALIFXR@;PiTRCsrz;1six)!P=8=`g5oe|3gsE+4Eeu|h`JsC}ZR&8CqN9u}c{23u zZ6+K87i(G#p3$5A8He338;4qKmHgM%7dK_o^X6j874`N~R`~Q=EGtYV2j!AU;kISY zxxdPf)ha*3S|qhsqBh+0f|ParSbptdzOyz)F+&^J#>|bp?xIageW@ObXZ0w}x<5aU z%x!C{K^k#e+LdB&6+};!UW+Gk*Bz_Yc70#TrjS9tbjW43m#9embjgucV6gf&2VwI- zBU<_c0w?96Htk%c%6qE2ta7Jfr+%ldYWHf=si@s7zFFE$D4H#{lpKu+cP#f2!xm#w zKaK&?t5XNXvTLaLUiJ$IlijuFSJWvx%(a{$kuk6@6^{YMByi?%(w+GMZO!rzv^v4wxuAeFs4=;UwCj=4hj}F1vDGnc5=Id`M0hVm13Fj|9)BbKPO?Y1 zALZ7DLU$!JFhPCl!tUZb7DyC{KK*l7q-2dP4g5>2y>3P4kIuE}unWrBuSZl(Pd}ak zpTqUhbmzBy2Cu`WKhy93NJ8i9v11}p@8S+V=NRp7u)FL(DY*JYM+uAYq*t{<9tlM# z@?O>sVIl6b=By(=X0%2~ZcR8UaT^VEL^Bxb(u<@PIl^3dC-QkQZC#1Qx$GkAj6Y<| z7}fZPp?4&XR6~Kos}U{M@&k6B4{`&%bra)k^zi-Y4k5TVTwH=UIg1siBHvk^-qv5U zRs;+ufAr0-gd>EhEWt*!4YUcxB+Gk9AZ^GT66))Hf}4CS+zv+if!Se%AbjIOln_|Y z_`S0nn5kR^75P&-U#57B_NX!pC+?nQIXwrrcdOnBsH1AUEY+AJu`KaE2rF4xV_(lk zEK^7!(L9H3bb%QOM&y#d+z}CZh0(gM%E7GDdrVZC)-fnZHCJ+Ziz-_~BL}y?tlvO> zfc=c~DJQBcsAdM{l{>qP6nN;EX-g5kbIgY6prnn&ufoTZy4I{?VL_!n$#iP>c9tIt z-iw;O_{`ebc+J${CT2s8h>lh?)NE_5gBO0o@Ml-&;A`A91CA#5g@L7PAL@JZSvxwT z+pua?WpDH77-z>i0OTDjHg6{KO4e#^kiNWPm`E7WVnsjiwbOnXlX^6)d);|yT$ zEIZnw;xQk!6wIPwU%olJ-L4Hi9$1ul1qHDGK>V^Bn_b)R3Dy$Dzh6P?EN-hm+ z_{VeTDWSLs$0m90B9b&1)y!62NzEsj1TJ0)xEAwzgd6=REU@0^WS;GCC#}=OZ39;P zqx}0_W*7CYf)1y}VBkkNPMv8Ty@~jkkcIL_;0G8qCw&IY28VhnYw$|EU!G-h543wMWDO(FC!V5MCKe-wiK#7XUdKqjKdO_2!K|P&Ao7yH&R^ z7BVLjg-2Zj%g!Ws#XWxdcGep<*UXga@aMr11W_7E$grM4pR`oSx3ZG<4_b+!z1fm{ zjxLlwcpf+D%Noza782Ppn~T)ixf}ax{LrYxy354d>({%4nN+%UK6ZyNZ}m_>qGnwy>(B9I0_U?vnL|lbE)x z(kHEsUsJodtGSxa8fX*gc>Zk8)J@1U>LRIRI_Wb~E@em=kFxl`WQ5Wz*JiSe`O^^? zqEHD);<-lBDbCP-ykfAK9n--#8Cv1mW1!<^bf)RTrk07-Y5istm-KqJ{=Te*f+qi= zcs0(6w(I+~za$#cC9Y`S3R6tP=3R7=N2~JN9LrCS(m%;v34~VG2l#1i)L~l2o7OoS zAE8WVUVS~kzEIz(XeX)S>}7!ULKrwzuBqmFw!_1P+8<$@keK%Y-3u!T3TIqC(oJaNqSsW5(T|2 z#F;BK%`rqQ6Uh*Tbh}n`=IPKup=yU0H>hRGoL@hS6!(I-^A3&tbUl2X`w_D9yK(gwG$-HPLIybnRIazS#rA1IN7ijLnOwS5)z zMyQ0&m$*Bmn}>I6kv})(mQ->R{Jsx-SwRpf9p#&dd}pY0X^i*_{XslJufwkZsc}X( zM&LzUTe<4-%jB!QyU9#FE^kVxN7I*4mu;9B@Uj{i+m(i?+fYe6D&d4TYG)WS<0*V$ zb?`6nNuBm8mO`%bgiW6bo3zh6-XdY|Q8N*_Zq+>o`{;_~hWw*&?WysW@$;Wz(lQZNMIfFiv{t z;5dopn^_Y(t_(t}ou);hRL--@v}mPmcg|)JxP)0h={*(S+n-VCsSWSWX$Vm)rl&@^ zKX@1k-Gks+i0S*lZ_2B8&(cFhuBoe1eznF|UIF(%PEFz-i+ho;uzcb|yGAai3s7y> za#O!*U!JG6G`%$Om@|;u==d3Wi{Xzz#VW~q*Pcjh`bbpG`8kbNJF zeqSX?27KHnXaMt~S4P;FUVX345tL`hv+Ub_ zG8mCA0_TWJ@aqucz+UU4MRyNBGSDm{0xM?o8%O0$i|tm7BF!pg4qjm}kx($>RZQ6M zw_&Epfe_^3VDW&`4`0wJ-pNVX@p3KR{9Nl4AGM2*in3rsqDkSrqGqi%WDYi$+8?pf z_hvm&P<&06No_(PsY2WKFwgJI!0`$6X_8=WMMP9rN&+pL_Sw-?-(l5?}6Ha1SP9ybo2^`%6FDCZVIO2$Bx{V*OK;39n^1*#=My3VZ?ieZdA-Z^~AjhDE{fBn8}N}5@`Z8_j8 zRab${WfXb)JiHlM-N&2t(bM3p?L}YFX)3*X`sw7-Y3j_A z|5iSJq?k)cBGU2h;ZSYcQ(f~EJBYP_)W?lhfBV3dIVg;Xf%3<%3q8H7&yDEpmzQ6^ zbfn+HA-K+J1TQHNEiY7x3QjHIhL$DB8PS|$`xGcP*p+-2GThT3vDg^Zr)??;eau`2!0nNDH;;4$J0ionpWGlKYZuS?-am+iA8C6ET4`!l z4(M*hm(*Et|A;IKBG8$=XjAOEaIP7qC$#KzjqzNhEwi;A771mgm5?thvO)e6@3e--|inkha0+VXgD@DxK`D;t(RI z+34gORGGymF>IQZqh_#b;FkXbeq*Rt%Qd!Fnmj%~N0kO$-YCbBJ>}u?)-EpNtt<6Ni9R%J?QP7Q?DIel zPzulSnodje!&jRrMNh4=N|W``oyGvaNgdQS9Qtqt#KXA!~j9-i7W_-x#r zXh|LBt0|#pu8dO2;?of{An?Okv7pxw!Ss&zn3w+d6P`oqRJ(1gu1W9y{4YB`T5Zi$ zt!cN{;jy7k8|N-1`+HQN@bu@-R+}Er>WfzOi2(sHIfQKxiSlTdeg4kM!B>F(h2qo6!xh*?=@cGGPn+KV) z*ITWVR)%iNw{1>9`kWQKPDKj#3iv20*kOgpOCf^!A808*5(d}yS$14$0y=r);EEbq zogL7iC^8VQclQUdi4i{-Y;z`s$+galcoo*DoZ994>E=lB<6aoTXK0D1b!~uPtlRl)sU{xh zjWmV^hYJzk>4>`fepb|IR88LY_st>P;TKOi?9RI1nGc~Nk5B|i!pwH(_!+AuAwfsi zDHW~z`WWZX8KuE|^=G`>mSwVvVb@eJo&fd^qqSmyU#S*@d?Y-CG0bhgD%0tB1e}I# ze^M6^Z+a3i6-j2}g$m~>7U$O?-t!A2+`qod?&SbjHF2A2Sn((sz}xa$mdkWP!)R{% z-o!C2*?;<+b?sEZHiQH2aY*7Uq%7FmQ%hYeF;Xxt`!t2F(sdKePM%asT(V_N^kOc$ z{IS|_xkiL)eNE?EFw8IIktd(fBCZD_^R`0`jg5n|D48YDzC_=Nt3*NVVJZm~*DHU7 zFa5$g$?k!5v+^%uhfreKo2ewziA#!f4Wx;>=EMugXpcco{{5Y#A7%ymIs)n{wWYtlGVz8j{nTdO@8ph% zd#e0Hs9vrmR?T`SW%nRlz;~UcEGceZ+D!gC+~>G#T%q(z^v7rAZ}+ zNon^7SoGw6c`~(EaM~!U{BLf{cBW^P}`Kjjv*4Sfe(C zYPnUo0WkWK@kPxMJh(qTMF9T18oL%}N745o8)HL$_>s})%A|LPxFLC9+^mc5vtD^P zhUQ#1(vy9}Zq=EXqV*oFtwz}$=LK@SF8z@Stn`zmdK4-$uCsz?Z2{_dIC8*&$(okeO&R?qtq;8U zvub5$BCC>IeICrK_LG}2USb_0YpPery@)xRnLPNnW3NNG8}qHr$v-thG%N^7oCr^@Z{Cd1XB{s{NxM7BDs0VK*nZK&@T!lG|lcnaInAE?@udmQ{Y0S&5( z4M;q>a6ZQ31q!%a?PIZ@g>j)9{qOU>h^!@ID0L^W6l~Iu0T3kEwr$(CZQHhO+qP|6uWj45ZR|vB%%1ii>X3QK>R1YlvyPdj*F9e; z-oaGJek#yxO%E=FNPB%CNpB0b!WX-#t{477F{DiIE9Pc*J4Oz&v{zfk5rrUXIP=^n(CibN z0hSH5&nSV(YYa9qt3G@3tsA&?h@Z_EG%PeYZ4&!VH|0t`fxIC#R_39XbV zEvm#>Oe!qNJp}SDDSGnc{1I?zGe8{3If$Vh9!v5f;|c0c;MFb5e`5bFK<)rK*$L;J zXGo$+Z#(PgRR_9`dzFq&^pq#Si`&GoEI+5o(Fxq?PCQKsN~W@Q1N4(w01#3qFjACQ zptp}b#hO?$)-}W??60%_*)#&372Tzs3kwv9&{? z6>FF_sK03mSCv3rvIyFaz&kT5Xuq^ahb%c~x}?(_n>$icT1@B_L5JWdmK?B#-JbTU zp){zx%Rf4V^=g-iLrVNgw4*H>*3cuu!ItGf+xfOIaP;UC5nC--F^V!_=sf6_ZA4ta zbM|tUxT7V7ZE<&LOBmySlp*fJryxp^slNpWzIsXosNC-kTd1+`k#SzisZD(v{^qj}!-8VE zC03T3Y$VMI*IT!ii~`_u_z{XY+b>nV!9jCNR9y_|-jAd~HOar<(m{bMwgK;|oUKQ7 z)n-7*#6!F)afO)@sZACb--}0`3_NWrH-_rkc|Ea<@LBY?`%u|5(45qSI{<#$tHDL~ z^KsXV|B}`n33qH}bONnu594!=g+fc0%X(whho>!n=tv`cWCUd$v5a)p2s%?Nhk~n# zFVY&$(Qgh;<63H6(rFq+7UKx#POPL*v2>vF4uDWwan$Gk2V{SDfssw}(#y%|~;I z_r?a{9x9~rj6YLCZ$P^b3ygrxDp#fiyia zGEnwI4*?rebgnIAe2;)ZJyTwYo5X$qx~*|uwsMfQrg(UShRCEbxNf-j+{271I9!G4 zkuQrYcQkgYk-Tn?c&@4VO*2wAqtNbl1wP5C4(uwTM+gL0IanEf1hH5j0XPa zl+&jB{dDjaFt*>jP#1qoQ2rt0(!0^iLt}SH&x~H?B$Wq$43!V-3eEsbd4XX4im_a=KS4{qCw|-!uCDw+JQxjpQ@%hm(7> zrQmswZ*csZD8&lD22QT5N)hFRFxvbU$E=H=zjhfhk==-u;P@yw9sdgQFYm*nTDzYK>wmuk@ck7lemB(9R}<)a7jPTk?VSjJrX@Zo z!(I^Ytz#34GpE*)emPX1(6*T|+>BZ=e;Kx}_Zop^fl;0XP0YL_lTqWG7@#OI0r&r& zn3rMk=rP@jbC~`53%DvEUeP?AVvGWQ6$lq3d&Jd@9*4{MqHZjkdMqtnIhh!alI*%^ z!gt*-Nj0cqIU4Qun|KkNvcH`ARO8n&N>>!^#rUSQd?C{~+Ho1rsZEgM1_Of^oxZ)H zWFCugV-mX=sJrc1ud=|Tnf*2kAab>$x|NUw5Me8`zczExi{NdC`gf|vkucS`Yagde z;kqsHkIIZ$-u3I7EEK(lI*-Jo3Q;7Fc+CNjo?b2hO;T^c*NCxyfexq^zP$>OZ=Pu8O*W7q7)|FY`Q2^**#FMZ z;T|K|Wut<2gX{jt6x)nf(n$A37?y z&gJ8#uN7!t^jk!nD5}6mznGVDw=M7%iT#-yl$^f~e#F6(9&sGHNs|)(4z+p#k8(Yh zT?hypxtSWiARz_(4ps;nMl|AxRUw!HeW)^4zQej0xr2>qF$=Hx=Pb&gZ-AW#t+1)A zv^GkM8dru#i@Gl12+(aLS1@UOi5XV)kzh7nD=)!|dNqS-@=N+utg(CDOA*-l7(Cnm zMqsY#-c7aX%X23{xQ5iAJNciLxwZ=VwdA};qIVr|U}8*YR#sE%EAzscIDE=F&#?T^ z!BQNOFo-E=dssc#n>N|4C=My}00RY}MDBZzy;_oyP=GL5lf31I7r3w`qu2iE7o-R_ z(rQFa$qtpp9Al#{z0LCG>aJ-rf|GTd0Y{%!$Y7Rs#6qHwsJ0^r?*e#_)k zVSkg3zS@t`ZL5)gnt~Fg-K_O%k6j~(%O#Ggg+%_+8Y{w-1XY>!_;^4Y>%!r8>y++6 zvSX*1R6!*m*fV2E?%N5k5C8S)ab*CJXn~XX2R*#IwOGPMRZHcAkd@hRp-#s%OH2)4 zSB`1zhq5>lkMpAMfKHE(!8knrGgD3*dymU@0Z4b>qQ{N)&w-uRzBmDSX;bB@>_%1P zEz8bq8;<5~A)>C{lsLKJqAuaC1e4VqaI6dOCOUSJT5~D~be@0fUG}G3-1IdD+@u^Y z;8_yq`uBYog68?3UAd2#14(!MW(}jOv9cwFgQ3_{$%wp+GR&6medR)h?Qfo}=HNOL zuDvCRJ}#nR0$xOzHrH2Ah6DPcmZ@Q@r6#+{dmzKEjf&&fz@tKs{tEzRNEjiT#EM5m z=OK%uk0uwp2C5248rytBKK$UUgI7L4XtSNsO)x*6M-dL+qVmM;Z6H4J@j`S{GN6Cz za!zy%DPV_%8T964)L4s#+D_HAwbRN${}ez!4;o2|@7A;KtIH9bPIU$6X!txuj(h$o=r4 zN@^DIu$!2qOjz4xDoIzx?=dqFUIVPgH&Y#YTp^pCi*|sy=oeISRFs-4%%#qyqeSSI zO6oHYF8`IhK#WOw%i5xV(-{h2!pDKvf8*wtV^+m@kO~-HhguW^t$pe^W?kwhPnr@b zf+meybxf(g*rN5tA}V}+=cw349%4@bG5S!t?B1qp{JH{e;Z9j2hC>m~O=r~jGus#> z!MUq$fhAA2j$)Pwv|qYx+Tganq7U0tR=f8tuFJmmvs+4)^o-cPvf#YAgdD!Tw$Kjk zuxj-eWzyvKdreis3uX3F<=MKe8_P}h4)$$|HkjRB%guHz({!+JLu3u2-YgToV#LpJ zTy7t_{qUnG$4r>m*f9H01XaJR1jl-JF=2kCmQ!cItmKNu8UBbXg{Djv>>J+2V@lsk zo+`WD8R+XtWgGDIcT#z0_Q%#hN`f1N3Pe!4jg(a46F#qS%H>1SJ_|Q`$}w(?$~bD+!5oITmsy=zdXjWf>k9k=e%~6z z79MbE_2eia=~A1+)XU991s?vZ@5+$d=}#HA6;I-H8QdYu{SQzL!{1`&|s zBmSII)yVE70DAU7e)2q$$?4KQ57KficD?Q}Wa=oz+84AJB_%D}O-H`Yp)cHOm6C4h zNc6-=RyoE)LK4~#P+sH3A7%G?NpV^Tog;I+GqnM%Uu2}&^9P)6+gOh0F6tRmeI4;j z_U7I~- zcPJEl_j){v)Jtl6CrL0MmzW3xg?xTg8?*NP@4mVv;(xO+*DM_VdeXxMA|Ll8I}RZp z^daQV>6@q8`8PARboKCb>5+L@a1QoTft@yOvwWIY)?ajy4Xl~`BTqedluKrbRhFFV zrH>M5R^i~S+Zaf@2=nd$R-ZG$1whT(L4e|ATZhQeE~~ac)7Aj}|HKKTFae5dD$Ns* z@^Nl9&cX<*cV1EQriS#KAW^dENp230dIQ_|A>T0l?%3e~L;;=KRZQVROVM+*byKPE zkt>@+oFtc5H@TR&*UsM=Bfcg=(7dr@8c+x&BKFixyf2trod7@l4 zNjYtLP(rrU)W8!_a`sUU=bRJjuk8Kvj3LW$f(jyMXdj^5N;+U=7e78&{5bE~_nY6< zjS3>rjfje;rjjmbDKJYAfmmWb|=v`AZMV{dp(wg)%#vql4c{J5sqqGaIv=C1#V9yQpIBx zk%GeXiuR3KDXM264}s_iuo$#eu*8m0`BTe(kHZVvw{h66;^OB}O(kIZdkq_@Ewkt+ z6ZV>SoMF=z0JgQUyAfHvjtj8@P0S`FzdND`&m-LvE$_joSD(!kOf>PVge{rOBl;O7 zwGXb$9i67G%x}NJfh$(CbD-rS-s&k;aIIfPTt-Mp)SjHHRffuO_KKz`s;&rW4bi2d z&K$0qOvT-Y*E&5A24we*1z|ciQhzqS=&euqkvfGgWNrr~Ux z&7-uf#mpz59TmYw(T3fo<*ozM42WhIjC+?sKlqx@Ws3G#VzukR_RGA6i1(}Co zM)8pywtvfn7_e~$AsO^07q>?+H>w(I*~m86%ieW97(CZoXy*$Yz|VYRk65 zncSpP*C*%F8`kX~dpNT%E9_sFWakKb8u##8G93BB-iwEsY-GYNr&~ZvqSQ^ze)(Ti zxrIGhN9*cX&P-`32J_-aXAH$G4r?H`!&~=C_5lun2}W&J z_YC08dphjF=@B9mN;5BEyP)Tf6a7LTrlBsFtNNGGIkx~=z86d>qVJjB-ByA%Zt<|8 zi?Z$-mr$Hy#&G?3_5hQuOcCH)y|EIC(sBnrL8?cvox>4w5JPL#BnIdubSs02gzyV5 zQY=pX2?g$Qo~Mr^RC>n6WD?Z9cpf2A|7z=lVzrvq{I!NjM*9JF&BhPNEaAaW>332b z{pO@OEkhWw#NXZdF-mve#}mIlepNL5cJycWL>SN0`E(C`G*-hRX|PYy<8y}+oczgL zA~~~?(_uVmwW)Gm*EyBB4`99VdqX$-BU?{tBk%O|j2WKiSJAMu7%oiRxQ8RuX5e21S z=BkB%$q>7?!AteZg}&G+-l9m1rQXG6iB*le>xX+>x%+9pS!dGsTK7>xCm=SY__1 zxT!n!eFrrXnxXf;_dHhhy2Q`Hm?MQB!PI_O?};>Kr;9Bz*>=(KbSRvjcuMjjFcKHf zX?Jgqz8x^VxsNKW%8nN3dtiLd$Mba}3g7m?mwwX|7YYD4Rz)u+lj}GFqq9R;QBWmf zj)|{12L6_3z#Iv1OhO25r6HJe65A@~ShTz;Sw;8SoE&-3sRA(FKuFM*b@m zn%iBy9@Z5EKs=i(Ozn>yQdUO%wQb>bnTQDikod4(uBWRiYw=Mvvez+*SPr31DB`Nte?K{C5D5Y^oQ;K02is>d6ND!R-z1a$o}FUAWy zYDj{k6Un{rh&4?FwYoCSIM2xO+RpG#&7N3%V+&@DlCO4$6lenVFo^5&5I_7ZbVPW;xrwHTZiwbP4vIP@TM&>^ zi$Tie)O=vjqs@JnFNh9kyLZ<^Kf%Ya4U=I=|x9pK)*$c6lQq|+eID}J1^6PJWWcuq6D#c!VSN+DuAW%uM ztlEtHO@m4DMM$Rk1D!D@r9Oh(r{e(CXiy|KB4?a82Tu1spF1IVLHXl2nq=LEktN@D zj+T5$IbK0XRI*8ziP%b?NK{P1e=pIbLQk3p z1~v)Xl0yg4XBGeSDS)I%$wMBPoYZnB;jlAB&Jw(w9m`swg3~D;rx~vc-9dBhWkBQk z4+ChMd%4tb91D`>_YPicGKIi*v6Jg}anHcavn8zo)~;?aGT(ja{O?x|Y*Zr4+znGa zC+U(CW*Vg(OV>%0_!`$;hGJ~zl@iZSv-stiAs!Di{Q}(E;t(&#ep0GwR14+p3u}Sz zsp&5#2cNil76^X&ruKeV^Yvr_WJuCfN9N9ROb+(Jb)v%%nsZ+A?X|w8S6u`{VbsBh zsme_jNzH}dc5x33O`b^3_FL_&OXazjp!nxO<&C%MHDCN$X#_%)TcQ^w7ts21;RB6n z+0!0VH43zqcHm2#%gfrwou;0V`gDDYLGSKr<54{}3AfjRr*W-Fxo|(5$eYoAyGI@) zWONf|ubMC2JM%F*E-h`(qb4>Ca>bNEQe&gMb6BU33Gy9^AXqN@gwloQd7nz+vq?F^8(D9i|R( zj_Q|B!vjW!&AW$%DQVc4FsR16@1T+t6p(Lu6lAY|H|;OYvSGBv{&r0553X@G@l$>O zdg;!XMA7M>qqB231H}BWQ;H^f+s?EVx9VP8oScE zDjh4{=-pnZUVEyONeQ8b<#3?uNjxw_Z4i5ZhG!mOGdt1^u?s{eJ4RMKl59isDFux? zmqpUJ>sKfb#9CvrI-riU7sP`c&;|utcn4KgoUdI}{&guLS-kh_bQmFR`xh7Zr5kf9 zjxx*+D{WKXQS+v_^NPd97p5!1Pq1r@*+BzrR9G7$Rlcp1sgm^~Ma+m>Z<_W&doaW3 zGPhHZF5#HqU}1ig1Ba#7HVtiVC^!pLM&54WRsGI1d?p|8+x4r%O8IP60{37P5XdQD ziQp)lP;n$UH>njZ0Ed9<{W_?TqtO?+kJnXCn-G?xLGx~0^>P^Ij0pff)o+_}3M7H1 za>5=Hi|of0POdz?lWBn>d|Z+gK*$AmS+1!*2O+_Kd~uRzpi=7^<>P&l!(HV_1*NuO zY;6?Chthg_^s5*Szl%e%BYLhfYEq}n3!gUmPR@mvK1!&v--$=~FZ@zq^yh4uWJ&Q} zc*`1}oazX1XPM142a@@;hi}PrC=oRXnxPicV1dA>~ z>K|nD>1Q)+;b@k4gsLE{jp6lp;lc^w9HmqFQ!sp)Wn`NaQGcs$y`q*#(zk=kpzh1y z8&35@ANAEIevP>c?YBfIZmETBn#13c6v{@Oz<}xrPx-X{Dg(4MT-QXh`}4c(r4U$~ zf=RNJ0pDJVz&r7A+rb-Ud``?5_hH=&}jA9o66yoGnRU;(-d%-*9`qFt9uuTItvPaX8W=YgN_G93z~YoS$S}qAO7JciyPOZJ~FDpISUBLAw*|?Lm|d9 zjN6SQJLyRI0=g-XcBVDS2x1i_$yN14&`U&tAu5+KE)qAex69ibqAh|ZJ&CQqQn8Rc zwr6Uklk)gG(Et+2k$?gD$GHG5uPZ_s@Blu-7&f$uw+|clQfZ!*4lo(zxH`!+w)0Un z37%Z)_&OW)-?`8s(WC@CJ`qF~2Y6Z%BPk{)iK{>#;`Pg#($-?Xs;r16W|HKQmZ${` zx;)?7$BPbOfjpM&J6e1Zg>8&qHwSM3bazT9wt%URkm6yW%X0;$=GZIe)*(E36_E~QQ)}ZHb0}Gj8^jt{6Rh!C&(>fy?p`Rc0T9KtpQIwtBha! zzj$CY71+WQ;pUv3G)%UYS}j|B8~foGxW;dIF`~r1B2U4nFt^uCX?~wRTy_eVO@#*5EOxQ56^I^90&IWRH=+VTpT?aqGHQUr+o zaqk6D^8fPq+n&5};;35tPfjNSFV)S~S9Y7+(UtJ};EPHl*tMsWUAJ?Zfd^u5c48iR zx1nQ&^Pb0-LjQ3TLXN}QOzdplfchO;>+t#1t=ojQ9wdy6Q_4v`cjh^_UP9@dod&g4 zXs#RV4|mITIqO6smLaVcH}KtaHYh|e#2y^vi^2;=R3U3wj0 zoO|LB6$a5+*mK`RNd+%?8W4lpH8P55p&!RB9;>Kuo_$k zI6NcigFV3=-iJ0=|8nh<7O2p}`deT>l-MK;UFvR*V>xmqUJEe4$Mu!H441HxNnN+) z%s?Pw=obKJB-idZ-m}L}B1|M8LDrdDn$L}Kg@>z+dWqGcoT8uic+eZKr;w)mpvxAq zGe#ooLG|^1Ev@jJvj$Rn+JAGDPp|geVh*>1{7nKD@({bPd2Zsvo_<3nLLoPC7_8}> zY*0rKhI|f~gDOtx!CF%DWbev{l29UySxn3T@_tmo+=+i&;MfMp>s(;?g!U`wx?^sJ z@KUd=%y1FRZ>YZJuXCEB+JX)EPa{|=`G*C_7P+pEzK33tYxcKqwj(bV>~Ya3jCr}H z^vv0lC)XikGqVeel6pV0CW`Z`jq9|5x08M24*ht}A2BYmj{L*y8kxDaAh-Q{7F1Rc z@eoerV5^i`&&N^pCZ#O9Ly$KVs==r!CG+J58CbT1kimK0_Io$$`$zlRETRhng_mh0 z`cLsnB6XQHrY(2IBfzuSRbwa*`Cp3;q8AU}%npmgaH*Rfn0FHhGq9=o0iMd;Z+*N#`gu=D!CA8kUbKT>lw%#-s*UBreM-!2)Lg&Oc~ol5 zKRRBo#lf05e;$uTo5%<1<3@HXD_A?f;wmQTK#{c{}wQus8kD8c^?&ws0@?UaX3zE4>A>&3Ir&)dK2u{lBx7e z4v*1C+hju;^L=Q2Q1~d^QPiKlnogH>!|OfAR33?!JXM0;?({!pdF3R;LMAw+D;fEZ zu0yeNA+&tYb2ifSD@hKw{(uJYd8Xj@wnAQrCnC^Y`q7acm3P-_1U7F&KGIXkeX@tw z$~jMvYIf40k`y~{ZO<%K;rh)O6BE}PkFmKAdm(VXvM(6l4~oh_ke~Omc}0Le+?VncqbD zrs4=u**PhW;PeYHByv_>ge^+pFt_CZ3;1@?dO}gnd?e?{vR$tf@=d)1@%!E)?bwe7 zR3?R=iPMk{yjGBGp3FaAa(URcrLgT%6e8ESE?dMiC15BUP8iZgA&)hHI*A;0h}FC->T<>Dop2L%My4n{6>O(y_SB?M^~ zyq^A}Iy0?bu!6#lTtZ3kq2tQcmGi#4*3Ojn9mst+iJA=gb-yQlM;^}u>VuGg?*SQ& z-wq@CzS$yvB&b8v>LsSP{xoCglZzw36@M5OKhaM{x$!RF$M zebcas*KS2h{A_hhHf1(kTcOh}O6_ZN*R>9hcunGCV8Yr4<)lX6e?+MEpSL;sU4$P( z{=tUy+wx-d6Bmli$Ua;23E_+|ULH5kkT_3xF5n=xj|6?loS~Ako&~nT%0aEMySZ%5 z~&3ed_htNA?*@5{5hR%|R=DGZP;!JDJt!c2%;v~omZeKR*+B<1AX2F*^(x04xL zu5($TMYA*jnW-V2nD7#wjPbC*ts z#a((=d_vDx5=@~=(X zrOeve{y&*Xyaw&o`N{YC!|w#}gtu2v2#huImM=zC8-oN&e!GsE;m}TLt(KQ)6+`8W zLd6xgxYDe1)w82*903j2Feas|$?f)J>iC-%J@+u+x6p4e4Lp+hwm~8zu7_lGGMq(>JVt9Uf zO$shx-PJ#s{~)2Vk>8ARizIls6gGwRuKCma68AP4cf0+0dZr+j2UReMf>=7^DXR8a z9_Hz<5MF1t3=I5Xp6w#%;v>r%ZuK&cM3Ofdb>0Jb`Lhcj``_EP^zlE%_CI6HxX_+# zTB<(xa57m3e$h2>5}4S@XxoegtC@s&tYFn%0dlU+uy;5E!Xx}Cb$~W=MvMnqH`5W? zFX}l2t_kHFQdpci{pKHt4gI`^_sHKW!KWr`N0D`DOi$ud4duN=>(5_i!MT#HDV%k` z-%lA#RRC9x(2%?>o6b!kWl!cpMpSsuvvdis5@8aHxlH+_sTCCA8xy3Ybm0aCFo zg1B#_4S=yLpZi{Qe zkCg}UE;vsMp1Ckjw;HyUcy9>Abbh(-M!+A0IrnH4bOKmHd&tHW_vLpOW?MwJ+M!0f zy&~%E676O7?=G_#43%>ukiEuWJW=@Ss13H(Y}$(%YFWtH2qko z4-{IU>w-+Us76gffRcWLzU-`ki}<||gB;L&=r z*0O5%ZBlRv1*L*(j&#B0n$flZ)w&#oit|RrhCA)hW>k25Zle{3-BX_*ca=W+73d=# z1c?!kw70D%F+zt7AT>?rLyJ<2S{-tZ{CX(4FKxTJ#;-ePdw=KCtpF`QdFD#`Ydsw1 z!Rx3pwvw2Dki01WzS&!-pZpCDMLV35if}aBz9C#pUiVVcxW|_7&civv1NOOjKnLTw zMqWWhO5m+!T_$GIg)Z-H5D@tQ{P)V90G?do`@B1vE^}|nXB;x4bb_JwWo^%E825Dk zvf+ux)R()x750UK5X_VOhRv1xr@e^8&yx6qXpw@a#IypE+G+@cQCJ(j`Yl16LS4eH z$aUUnA;U6xkR+w(gN8bhAoU;WKQVsun38^-wO zD^ne7fe#*ai>;;*bx$S!kX`+J=&JxdNjs!|=Y+PaM`HtR*^H^Snl4Z^djjcWx~+u+ z;{KSU*pq>mAHMVC9YRpFn2nmuZNUuJ}dQNq5aS>LZxx49bR198PPQt$C;Vs2F zlaa=$3CCSvk5O*hw2F8%R;9rZor+qptj!tBynQyBafJqgaqif*>N)7+Skm= zK$u?i`Wl*pnqx%OxeV0|U-}~{Hm=);j>fS2-_DX!f52ey>KHJ&UU5CE<7Ya0?mB-S zB)L?1v+tX|@DsQR+>yB_F;Iz>>Ybg%=sJ5KW#F!Lak3~TI8JaICet03caecwIU}q) zD|NEym+{7a!lE6xjmZW)yO*t6CTSSYi=4P0YPfovB zoGbV(Mq3Wf*4&l;eGih;e~cxzTaPUcY>!dK!#|4^z8CGx=a*zN?VTIXtvtfPJ_wir ztKUU53my6ybY+@|_lN$i9_b#e(tb&nT!V>plJRiW0~uPA{Ny=D`B>WavG8AeOt{^U zPxxS#6$`{@jz>XOjl#Ev1^lGS(p1VOaO&%MloIxNegRQW1-&0@?5;ZVfU|6XD!rYh zn3{lgd+W7R=?6BKDG%;jB7(!%orNWAl;Y-gR7y!wMlSRJN!uj^7U1qi2S;U4F}8ao z4!4sB#&9_yvE!%CW^)?x7%t2n)LUr*cn4oP0I6xwb_V8mDM+lv9$vkQFfi~? z67e?8q64F?S$8$xywJi-*tMlaVwCjDl&LOQoAvl|5#QTJ@f?=7JqYEzQOW?rwRJU!=RZ#&FC9l3D18ae(#c!AGQg0loX2udCdL=x-C7ay>>SL=Rdjo*U4oi!5d%A%4^wJzgL*qnOA9RWw|9vSL0Nvuszh zffI8r6|gz_Sho?zz#wkg#7Gl#vR8NTwZ(eEUjpT1 zn!%Oa9DHrcn$UnRP)qy*RcwH!I>rOT;)BG>{R2}206BNEWM#dWA-Gbzj(J-e?OLn} zH}1G1DoT2WkShmm9clSRTNQ%BhFpu9Z5FR7D(inU{w5A(gm5I%yr|Us&YSjqa5#u~ z*CDf2pK`o4>PIc&GJIlcyYU|Dr_JxMSSVYD@)WBQg; z^17nq9ckF$*ON z^#{`@lVN>D^WeF zHJ!&BU&C!m-_{Huj&`i5Z7?u{3^U`1B(_JemJMR?rM}R=NpZJz#X?1g^1AC4dy(^< z>TkZ%mnI0llys_mcjg+yM``3&nuwJaChOjH$CXcrl5JaSHO8~v_`rz%Ql~P#_s$5K z&GjyTd3Ds`d^Y4H{sR5sQRxSLt}F3V<2YYEn~zO%vyXm$K#5$pvQ$btZ!5fV=VJea zMMKmdJgh}!LHiJxpzOUn>HV(}AUyA=wMZb)W{aE6Nk>V|tSf#M7fpXFJpsmx41hVq z|5@!+8P6~v*qCMM&O8R1!|eUO`NY;{f)vI`AsB^FpAG#82PPMUusYVIc8qEE3n zWo=O}i%)^x5Q_N8yRS^Og3lF@$d%(BX}1L@4@l$}($w*Oxx^pjFstDhp6D4lR-v0B zs#Ay5^U$x31Xjeh*`_MEWtR%mK22E!S2uHNA_UskFV2Z177XMKMty1kqn~~*)~{}r z*t~Lq{AF9*C774*K0YaB%`@T#tccvj4oZDd!|~`Zx|r1N+7s*1c%_!b^{xi$JXxg6 z)szBv1!zH&LfaLnk3?DeduEPQ=pXDgt4X=Stu> zW3bkNFg}Z?TMbXdohNM4x$hbc@gSkS+} zy=ml{7ph^_I?&-4%C<<|p3%@tVR_>S ziqz*Y-gq4!HwXj--K@7|c_iAj)>0lh35%3GJi6|jt5HiPT~bv};1rV!R-BbOAb_$& zDmiA&7v3upQVmXzIh;iILgG>WY(!-1CfOkLG+rx<c-t3V>-`k)XO1+$>5X|4iw!acU!#zYmi|rxSH}+6q;Lv{r5(z& zhnVV>2`!2;PE`@w4>`E^?XI0W&X2yS@1b9(;H6NigB-_f{ekKysI?7@G6d-Q%a{OvScc)V_=rW#W3oPar;Zz5rEp^k_^?AifU z)^~NVS|e&}Is`=;$w~#KJumE>E-j8W6uZ!j-=ifweYTykd$`$qbJ0&{k=_+-P;IPs4 zQt2D=zt=}hE58KIKu8DBnqP$&C`2mN_z!JO$Mhj&5;Y&^TvfOsRJ-~0)Jp(_(c#KA z{XaEjPvWhm%&c^q>24xILDt^w)Hh8l(c)d8d!NHZifibMb|nGiikjEAMx+LD@oa#; z2MxN^nPS^vLgqoI z`|RXVmmh_Px_#)Mfcxn)uLgk4CbHy3J=dUK_gmB)bDcl>ZI=ETZ6!kluL%lH^N!fj zbEA176*&bFmby$-lvZ(Q>JQC^fdjwh+#+bfJ&t7Ej)++w5Z1Ogp9o{&+I?DXc9u+9 zgF^3(!q{BDD%$nn7BWs>vj|Q&)LVoWQaKQAt~?@P7z^hgRf_nq1o88U#~?H}JSHl8 z`{J$eBVe|AKc!_@BvfMoJVPTCRtgt4B`lQbvWMabw4V0FFvDpcQU~h*cDP@5vReGw~Cf zW;(GG2x@Mx4{}kXBOemFM|n(E;~s!( zKR0c=js?TBt}TYg$ju^&GXD_yAPdQB9-iohN|)$cQ0q_(e4Y|cyhB%Pi@+x`f%L-P z0X+5v?)aXiA!`oU?vX1>ky%O1QrxL~6yP{RuNIiooVX_QIr5tyvHK=YN#|g&B;B<~ zcZQD}5x+Ddnyvnp6;=HUPP?)P9~&2v*0$M$3nbPZA)G3oU5HWa&9vdZD#40&nI+*0 zrDi!_m71sWi24R9nhW`)98jC>-hH4qmRWw?FEA4m#%0rqU=xC8=`FRs|FWEhOy<8u z7Wy||RmZ`(Wakto=c`wzIgcena^C>;_P zP}X~?aHJlc*=9ADRGFO#*Qq6UnY@HLNG?y_ATj#=exP6y9-fVF<}3RV z2^g0!+Y?W!%-=dU?S;D)kE_++TV{1`+t0IX2=h(9&kbdRMX2T1R8`xj`)$lI^%oJT;eQ&duK8)1li{AX4@ z@O47aDHI*xYhOf-Vd4r#1|%%+C{e?A11prQE{b_q%tehllav@jq=T&o zg1v|s<_Kn@<3$|RV7Gnk778c44N%0$4kGyngjuq*qRz59{@xDv5%@UWU4cn;M`5d? zNR`aVj<<`bHv9S524&RWG0Z9wh-BmT>4KZDF1-N-*T;iy)R zLCP=;_coh>ealHIu!3L;CpfS(Q{|=4zfZkr1-GgKapP~ty^pA*Qm4VK(j>;59LouG zYfwGIxlB9{jaO*O`ZgE$?n~JKwZBCRguN`=NWA;F$dS=7+PwIXy-YKW4OYnWzL!sF zuIFD~^4;8+8Y@(D!GQs2i&F17%#aGPQXs;meJtplrCoPa7{>5u)?T(so%7M#oa8P1 z(O{ASp3+LiM$JLx+kNVi4(nS}C{CODp8!+=tNu7ULQPL-xcCcBDmm73ux<`Ow2H)Y z!2sc+4WDS#F$$EMj#699H2et#&XseO-bc4>3ebom6biSh-CIHEkG~H)_z?UV&LhRW zyX=Y3`e*B(y(5{7)TXYV?r98K$J7Li@Au~vx3;C$sqfytV`MPYmgjP@G<+yulf8WK z!PW{?#ZiQ}mrHv>T9A2LMb0{w4;@>q`ssBo z0w$;)M8lozd62+t_*|`!XVy!ZU8)NZJClnHp{jg`RIl~JOfM#x`TgDR#B8 zxQZa*kfT45`i}}_Ze(+Ga%Ev{3T19&Z(?c+I5HqGAa7!73OqatFHB`_XLM*WATc&L zI0`RJWo~D5Xfhx%H#9aj3NK7$ZfA68GaxVuFHB`_XLM*FF*r3gG9VxzARr1aMrmwx zWpW@dMr>hpWkh9TZ)9Z(K0XR_baG{3Z3=kWw7O+f9NoG#in}`mY24l2HMqMs?ldj| zf&~Hu5AH6(-6gndaCdj-l6N27=lgp{kFM%9ADi{8xz?x})s&>lYK)@hj;251Jo*0$^ieVc|faq!f1nnt-ew9VARZKt2FB$O@oj2Kos7 z@L*x#MW6&o108@aA4YS4sTV*22r^OkassjfXiWYYC_B1>7)?!FKg>V}OKS%p?MH~X zqm!45wWSs4Zw_`w#=n{VMvE~49GXNw+71bpHKurdK zw1%4c-=jLv;e)>=13*#z!~VCe1B4?lG)Ygd4Wql+!zpd;1U8t_XkICt>~3Cy=9y7xVwowXK7rhl9`m#VxEI%q{+Q-rUWJS;N8F*$pTw z@gLqF5W;_BmOv1I1pssg06opDnE#ghM=gJ0*1zya8~l8n9Gw6bCU&ksKWhu%#|gp5 z)x;eL0J*pU{e1qX;eU@1Sh)e_)@Gm&p?@qEgnzQjI#@UYc>e`|F!@i@e@KAlpM^^M zu}aMy9qhaS=0FPsW<^KPhahPF|5<1MR!hpw&Q8(99!T@=E&X>t6MJhrum9!wZys8} zzg%e)9bN2A?EcMW?J8yM2{c!>2ANs?tFiyWWkDt%+81@Ov;%%j%0H0C-{oZYq1%tW z$NKNq1z==lVf#1Rha}Bx9e}Q`0CtXlOu&ye{2Sqq-v6ZwV3t)|3Nr-0nCmL!2cR^vH+Mt9*+NQ=K(N#16}?F{BO$2f0yh(YGnEE zYxs}7?4Pk3$i>kXsAX;bv5)@`7X=fLi?yd7%ZHR$Kk$#wfBrJ~Uj-=tdlmeTXfZKI zPaj4O9(DjD8!sDxm6Pk^z{9gwoUvM{6C>cijHJyGHC>*DJ%w*c978?%4Oy16md+awZyg%12jgC z#Ch8~AEVgD-_fs<$n;BFR&t;{3T9awv0UshJQvXj+CME$wu6J-AF*P-oAikOp_?(z z4aFIegK_Ha#N5klIS|@%^dDC~Y~siuaF@6`6n->S!C^7ri)cJQY#2NFa`~&A7AsiN zxx05x4THikkr2dKvOY%y6=>nRanV_EfV7*aEIC}?$m-{M^aR@GJ?RtR&4tf~+HH5^ zvIVn=opm7g4cmJlsh4A4mH4G6_&~re01?cX4mO4|*MHz6oZ4kpzW|TB@drYrOycWs zB_zmEx0Ijx62j>~|HMeoj!56EMDVQO6#gVd#Y+Ay2QUDI-SI6Nd_FOeT?H=<&d5D8 zsbU71T5W%i?sq#om5fO@t=_O z83SRehyKD)NH9pM! z5eR=4Nbl8#NJDrsrMS~lK3L1O;;&6g|!>I`{({AZR0WOrNA#{k*Fwj+w7vc4<&_V z<^x#x>@^P622)@W@My(E$8@~41ooJepZpCK$jdn473~nKs;)#D1bFr?|G>L!`0KyO zwotH<1mtsEBhc;-zhh@mkX~g9z@K^V!qh$FwjS>MJg2nqS*G_Y9P*iU5z|%cz+RwP zSmdnWAr9ugZcr|Ip^#7KSND8wA&vEVoM?jtrSHbavVT_r_<)~s)e94oWJ6w%ysBVH z{N9nV##F(SYbx2~4f=#_WyMk0((JHtL7VISYtemk?ihWo7V$oBl%$8)neKG9MCPFz zW%;ZkCiWO}ztw1&A?`+kbYKf{f1@a-g_^rXld+Q{t0s{pR4S+Pr2_O z$jQ>TW8}qJnEj%(XD&co)@%5s?x#xk-)Apg-7MmY#ukt<-ng?|ooQijr_yo2O#c=s zYx4n2xw%ORC&^#&oDmZS8@^!!Lkg!VZ?mJ*)3PTwHT0yx3^Ae0jL@uvIKH=?nMW`p2c5B0GI)AmHG8ZFG(MfRjpPDy@H8)Vf;*$RhbynIVNhXs){Ks@V>LCZ?d{3{Joa^s@Y50^m)z&9&GG@~ z4f@H$7zB@3Pq)cF%ImSpA(LP`shvG&=R>-_@74z+%kiv+$XOAqaSk~ND$`)+vno_U zm~Rg|Y)AEvFLc(q-Pbaq%{cLy*9!3fLF zy@<=((Svcw+=u=hm`s>nXtY-1-}wSwSG67ZRFwVI8+qzz3K79u*l8IA3qQdIZk{O< z0oJcBmgVw*@BV=1*wy1ci0=f;&W^=)`W<&fq3%mwsnfbfbNxo3KiuykV@uzs%h@2H zU8DY$_*oq(T@ffHUklMD?+7)`^GnBaSz=7faRq< zTpozbSsOU5$R~%(1<7bkJHHqT1jEnJAJNmc6Tlrd8zm{-u`2p~1s4{Bf)vSo3cRa7 z0LS7nuvOg}quIy(oW146Nanv9RJMv4L4#3l$Y9JO;+aIW2P`|y_aT*c{go0_Cw<}k zUOe3MN^8yf{59Q|$eSxj#B< z*Z3j2>5|1z_fS1#DgyX=75sA)>;3#~*`(CV)NW{yVndc#-DI)$LtdkqJIVr1t_0ZE zuz(3&ebKPe!2Xu-xO3)`2XC8X5hJKou0(_wK_+pCANlaoO>)TQBj1E4TPA;7uL0hJ z_|SHa<0+TmU?*$C8J>3rIjgkh68Q^cyFiQL#N@(zZ*5`MROl2d z+P((oju)|~$tCs$j6VZl4(Fslc{9N(0MqrLP4eWJaiGWc)pZ=dT0?vvNxV>J11N2X zO0{BwHBxOIA;gB7f^USyU9gjrMVd0PU@yf#hM=V4>VKVZYX32nwc|IU80zK@S3%@% zgcCEJ6B0B7_)MXtUB2PKNIxqOh3GFHs z7e;1Ip+gu>bZ49$U2H!MF4Vbqo`wvrlIX%W$T~>NSOdl5!=~jYOSTs!-uI_%>0bx+ zaN?oCO8FO6?1Xdv0`y{6^(Bta&7a}yJf%et4u-vol6&*7yi4K~EO1^zk%sd`XrIK^ zH|1-8{7(JFIhckfcx&NsScyvccC+gfv|+Sr)EB9hcM(8i@eq6_U?%g9D%v@7=$Op? zE)Z@AC&0squ`jUW);BVEg5ds=OdJPNSuUG!t2We~6Np-LMi{I0w295C)f}Zt9HDPx z;;w#jTt=q&A`;%3<_s%&1Z^2el+Ds{+lRK2GezQo(#B+to|KO&&zpo(Rg|OtN6WwA z^f?RL3w;mqg|ikX(sx8HX9j>~aq|`hA>!;&HV=o<6b-m14Am9z`J|nWsFyv6&WoDS zq{1C{tXq5g<-H2>t{vof^iFpnYyJP&X{pHFX=&_b=2bJXD~5zj@z`I4en=%9)a5*v z{@G#^Dn)b^IwSOU09w0>5A!;W2cOs`us?=a@|?j2>t1 zQ=igaxkcylEBiX@NvsVm*-Lm@Eb~A*>Rq88VtI6Vp0J>P3x)6nYM|=)QY|O)f|g<0 zurd|bE>`8S@8nB8BzOw?RlN`_Bb(f+yNpVBSm5iS57ko&*2;XihT>Dy7v?Tke?=QR zNyb%m^{HR9d+H>z0+70CV|j`js207fvg2*Gj=Sc*uU+yW?uv_ zbqt^OJGY+q)&da04Fi@L(oY>7d|#WT5@!uUf+{(5Uz5Wn`k)HB2!(&uvn;3D@Gb*) ztycLWR-xgM=@u+Rvo^nT`%6SGR|RoWwOiDoLgQa3Ze80pOQt)D*4CZrnQ4*W?ZbY- z|6$s1o%#c%g!lWq&((-cGZAjT7hg=~dYHMV?RVSx(p5=4Eg5KoJ}!&*!s&ZH7)>%8 zODQIP<4h!2SY}}%$HDSB3S2gwSTodgIb)FW0j1On1oym9@)k0O&S!zGJpWc0Cn(TO z{-aQclZVa`)1_z^o}T?^DeIo!Yp+m}+vuX#)JqJyN6neRFA;Y13*O(PF$y$6Pl*y= zLOe;=zN#7zYNm<%#J_1Qq$i4r?_@GjyQ-sPtR@P+f)5`Tm|W19;Hp2$wv>+?6F%vu zP(VAfpR763a_MSGf-^*q8b!({@NYPnyVyYV50QwDeR5?%V1iVtG6IJ9caQ95LHYA) zvSbdI#^Y)HXbdovcUx!{a}-TwZO;@sL%OM_k;BnbWdIte);{Sr_{@J#rUtWeU$MO3 z`f(Lmj0zKRoKV!fD==+ot?VQR#oP#pS z_iYX}=68o}6-pYwmLMFJ&Tzc5kMFNlxS;fXx9;2NTwK{b9KuUtrWM|Ig*M19YbW>< zjXiMKDkhCmzRx_8pXhZ7QAi_h%b;Yw~DU0Upe>t&JgKe6F0eY za%?=1m2vTKNFRAg`1U?`@Pf(D_y+@f-%!T^Zc1V@=u%02f(SRY%fL{1TB1#wbLdpq zEl0aI<*3^}P;mX7v+NHOX2pY1Q3Ktp2sQ4IS8>gd!M#eciKgM*G!X|D(E>}KXQ|K}bh7_Uu)I(HCHVlz9p+#lsYJ>Tc z*P4SMZUT2P-{kWywZECXs7~b4yglrU#l&PX+Lc0YvE;niLH5<)HAqOy=+P@S(k|ij$4pG$5Kn2k-5Bd;ZU3yDRl&})UyhlFkFr%dA%zR<=un8`;i8XFj?HaAkK48TSF%Sj`o*!=Nmb?l-8-SIO`$ZKG$&f zJ1F;v$Tfs*@4f2w@89++_#c|Q@+rq>lvw_-{aRrfpqj_{LjGURm)?6Rle=&R`F8AA z_TrFKD2e6I#=>a4dKxjr>C8dg)M888X`|H+Fk2&aXqF|DUMI~l1zrNZscXBJix-cFQ|vC$n+BA z^B&;V9jHnm=`Z)x1?v|l6OI?8E|6uMP9^#%)ala+DHwTGUH?RRgQ+Dh1`*TQ zA^;WL!PP|eXe0T(Sq{ErINU@$Z=#&05nSa92Zb#)$S4<(&G5s=rGwRdXSg{*Ld83D zBsyRaa*k%#e6D^Wq8F?EiMnegVcEohA9^UmE<}W=x7OprGM!|sUiPU!uWzp-iTfpT z=1{>@tK*Z;GnOY*0hDao#1Gsl!qg&@>)&^2lS!w*$fGEkXt&ne)-6FvYd+n!_SALVC*Kc+MC3M{)aymY7a#mhgDr=v2`JwDN@wuYIJ-3kz;- zn_E0hjRovDYUDmso)zSQ-C&e6%LzjfMqexaIJmVLN$zpRBt@Lh{oOz4_yq7d$1VE6 z{MW33En>?ELFU`38A|6&-$6#-gM)R%W?{Vo9f}AIp~o}tlUg4kz6pHg%|OcX-GaeW z{f!%2mam_8w3($IMESk>vDL$dZI$pA=%2JAjzt0imPLrqx_0K>&_ONiGEqZ*>DnGT zC^j{8idF?PBpcf%je-F6N%`Q%Iv1kcl>vzajJVM#|0V#L>XJQM;ic9#Mb zx~Z)Mq5W)SNUMnu-?bW{kwVCEpc0~dP4afBQ0B!CHvW<$-gQXfm=fd`K~@Yi7KEx` z1&S3B_ok}YFm-2e=^XwNo+p_0w?Jk@pTt&h!j|QZezbB^R#N5hbjT7jCpn(UxZx~4 z|6rmvUAJ))Njs#xfD84$Q@THJ9<84*&A25MJp@M&f$wYZBISjz;93rP55TDBHq|EB zplFCzCOi65`}XjKczO74N=&yhE#f~EqJdVk_XVL?mEk<+?F9?x3@~W%BWy@-X@(Mq;{$=1zUfEOSNSca@FKcn zqp|-A%u%s`ZHmhlZrG*pP!LbSbw7z-0V@_YaB5dKTQQ%kUs9upPmEVT@Dtz(`}rCc z)m+B5;M@`e-5Vz#&t_EP+;T%sSu~8NYcj*<&w{gRW_mTTLKSDwrde;gj9$W*ILY2n zs?Z!+o_=*WxyU|^10((xIaOmpSFh{Tq1r-urv!I(!HnD0^gFzFw4MHUu7i&7tdn~= zJRObhqn3hM>=1u4jGaT1E=;&(%eHOXwr%^AZQHhO+pf24+dgHTva9Yl>5d-ULH~e^ z$cW5%2AONGZJtc*mCMdp{STW51TquOUe!{$`4iE>3ZG93=rYm{$#^=%%--7Q{3n!} zaIGuV0gHqpqm9DO{BZu3 zRo5${s0m$kLfh@|j@o#k`dxzM>C=1XMV)Db@fV{ZswF+UfL-hq_)F-c& z1$ub;hbtYDN1ecAu2K2gg_ac8c8m@$YgXBPUuKzSuCh!#RFK1iE*kp$sFIAAR_m|L zikPu?c+7i8o8zirqFNG;%PZxq_ z{t;~(f+117(m%6txSQv=6yHDFLo5Y{aX&}TG{z{Pb-SQbXM7`{t_!{(DUGC;uYoG~ zXQr%aTmN>xps~%DomR{GJLE`k9EE_*f5$NkyH&TY-cQ!MIPhtyZcqTkaju~t{pT@0E-L?X_&Gtm>~M(_60L8$ZS1gXJ2$`A2=e&T1x#+Y~~ZE}@s0K}B0K zV$}XFac9A~RkkQ?W-qdt#_j7nhL!lYfZ3+-LmRAUtZO9sl`H)?Ci+!AE^j=c_ci3l8do>eaPY()XQMA-{ReMa(SgLd=_&ssJU)lexk^88i21p7f7 zb8LAv5 zu!Jy>ugzD=70vNcDvJ_o0Q?Sp5Z;@s(AtINM_oxgIi_D*TKeifvHr|b@rG~JHi4(S2`>L@w&nHBL%M_{LkuB6~OgQq;S09Gh`k$32EP*#zQ#ZLs>&TU#PI4({crJk4eRfD2rjYL+U39jN zbla!Abwx+~VG1{U9OeuPDkua_@O4-C(KZr^MkONHp5h~V1P5+usxgYU)I z+=`g>X^xbrM^D{T%nd1BE?3127UUco*TE4C?mas|w1^$)N`B=EDdp)5_QX$`;wF{Y z%X*L@g*0eDY>MP_nfn-m>piH|yf!c`-#R{bn=|Xir0v>lob)ihQocn^Z0Z$-xmpG% zb5*24C7FbWw8Xkzyb0WD6` zL^|O@Z*Ru8|31Sv7l>Re=@n)}#w;k2F&)We1bZujso+jpktM z@cujG&ECssQ<#%(5Gc}f!%kJR=9{4Yl7s<;nsgjK`-K0{D9)o?N3qpY0y-m)b2%Gi4BDd4Fw2bjj==9PKRx}yz}7BTH;&kXOeSE)9kv{0iI&jj zT%#9PyY%rT7}ENvKlk#bS;>v9R;EVZGQ3u0Fy`{-kHLI@?m2@kJL}ab)u8-PW(FZDfyE*ycV|a~*eJVb`RL7Dbb-ciqh?`k zrp|Rj<o&*2Fw6?^Z%9zcv*i8;rl>rH6wznT_&4=MP z>MuMz*!|U7NF%yvvBCt-e=WOm??n5PbhoE4s7|cyqM!2l_WmaApXMrAdX8zX*9RT; zfv0aa!+! z`$pF9vua{OT)q8w)oIE&(ZyxQW;~*NgP;$%71-#4z;NYigK!RgHe%t|4&Y#vUV90_ z8k>q^&+t+2^Z=BCy~1-I;fvX;45Ydi&6I~=dVVH8BP+h=HW=tgqNtSVEfXZ~;^>boR8i7QhZ+LLegWgFYbAn` z+nm8k8#T&PU~abWjetT)Y7|{bP;6n_b|F9EjW=i%2f+r0R>(zMF2bpDj4Vs#0Z%R` zI7(%{?*Acwa#|FVRqkio6~?;R1@QdYkW9v9I<@pxG!zKlBPrxC`e;O2S`+WuG$eqe zaMm^O#E^f#P?#hx1V}T3=lqZ_WPEXoBhJCvxwMNE#S1mkOPBEY#O<8ya)qa8RTFjy zDO0+$TB-?@W+^a|)q`$jS~qGc!cWefek4bL84x}oE5->w0jMj4u#Fan4q-Q)^vmi3 zO48emk!_^HZ~uZYt=^=rA+aVXc|tI#QT<%qKDT$2*R&|HJh%QS9Fh6hDaPIh;cF+n zNpt4a!3*n|yF`8Lkw8-R$B)wh$8nzN6UN*ubP!UvR?sGLM>Q+7f>8OGY*TqZu*0GR zrpaM5ja~`#;{7j+f~SYh^2=WV$7cnS^h5$i&$PbfZFm=qhs&Nj2p;uOQ>w~&B)a2= z0}Cl54%M-{O|F}>%sIL`uf-?foe*Afz#psGuFOKNk;=o%&vaPOnlOWWG&=Ek^KStG z54{T&FR9U%HTCq0T5a>7UtHyLn)Y9Jq*V;uAVD3pG8is$&l4pB_|d^lnX zGnqRmqlOrKho)|^tfK`twE}KoYU&YJK1>2AF4qf!B60`@Elcuf7&ktlC~?SVS4YVh zXJRQc-4S&i1yKPsj}>RA;U!IkS0&D~7U6`(nb_g}ExlMd`m%z(PNJk!4US1lG zg%+7hV7kg2c)i5_x6`cwX@=Qe!>87eMi9vqr}kh>h&+f9{-?Sa|FH@47cHPcp*V;a z6Qa0$POPt0%k_x{2DzOjIJNWIrKR}AZ0_h*4fG(>_f&91uDtd{6HTcBICe0+4+{k> zLe2fL_|BV*8LV1~3tdFcudB6eduNt8cP)iJ5Z(T zao_ko<7~B36rg@`QRXcK&KT;_kI=k(1nEP`XFYW{gWd@AZ*fM#J6Zmiciv&ZbtauF zS!FPx`$YJ;l)Y<={u3pr4Va!`~VDOE;qjbW^Wa5q_av zIk)my`tW6VdoVe{jT9fI*7`-snD`^9Bn5;_%ze#ml`|neBLy4_`ygU4J)N8fi8*n3 zIxf1wyL`?Df_M4d^e|w-Qz{RcHMH@wQBGxo20ky#a*K0wIIJ-t z&ELY0*{~zOhM$(!sBs)Q<829vJ8rUo{F&U8N82xRPvQC3eU0JzLNrgfCW^_J@no-| ztVsJLqe5v%z$K4xvQbDq+O3RHf3Ll&;{?3WpPoM+nXP_hSZMUnPYs6pztJuO9t$fH zgsBedP$g)EtM}>*?t@SvLQ<>a4^jr*rNwmr@G^{7)@e=zfz+ht^5NWQ1*r5mMen0f zTO~+7{xed&BV?{)m_7Ho!l-*`$wSYA8@B^{L+O3?kL_Gvcb_+h($)FokO99Ten;@i zGY>b2^$P`^4)@PzQ(CmE?`B4ja^#*WxSuKb=sFTK+#hm9=*2+Jj3T(=;6{wV(ZXCh zDGb(luam_?PFvpfUr^FFBs<^cI75QKdCb1+I(RF;#D&yD?-Mru(rdxjkD1Zc!n~Y-zKZ0Jvhxk-briIqFt1li% zQz?1^C1nwr6(7h-2n7k^1GItsrruj0=hsxfu9}OJznY9ap;D?xFHM*rj>f3V5&rf& z>;TjmPLwqqvgaxu&AY%++RmZ)cjNKF9Vt)zHJ9z=;T>&*+b}*Z?O!4k{^1;AEV^2> z{Dx;+U;%>6S9U_b$nyYI*tC6Sv)d6EI3hk|Dw&UmrPCFw`T1%2BjGdZ zk#?8WH6;JR@wL^77jpLQQPa?+OUS7G$CM*&bnTtKwKez5gvhBvuwO?PkXb0sX4aYd z`;E0`F;{lLFv4XgcZmbF>rRu(Bw*0eQN!a#sRk+SyZvwzfz7yQ$M9hZqA_{) zEvF;BqdlTSqj$iXs;Y()?qhZH*BroUxh|fV z?nsIZ?qWbtHALy%H7rizsHqLj!etjOdmI&X!BO3hQ#P1{_ro)w*P+q)7P z(dGD{*Edyy;WWp7MBTdJ4yPr<8kXN)mwflLm6`h<@HQ0>1-JKDc+k?IrgsqM#*2P> zw5_euPkPi4{kV11zK~0TM2o^D+15Bg*)DSM+pDwd_CE}>I8UeT5AO8=a8jHx4azCz z!C)>1jy!L%qj}J>A^qy-9!h1Q-;unoC4B$ezRN-5^^d?j|!4S3A(>V0=K<+c`k|gW3;91l8KJmB!4+ptv+n0n`a?^C>wI=kC0& z(m*n&N-FOW$S&-2N%tRbs;HyHEujziMXxerjL6eghir)Qu@LI@Q<}NXwd)6tL#t+$ z#yf{P=va{FHluU@^ePs##8C_0Sx!zKn}=4-&k=GA`z#PHRB)-OX|=|B8veq$qn}Wd z5;y^qNuQ~->yoN#NC;bw>%uH*GnEvOf1st}Qn%cIwR+tA_OWBB4%y?eog>Xe`?ggn zV)}tj;9Vi1`s$3ci){_~a(Gu#R@Ytqu{;d%m0D5uI z633vyFHOlpDfwewlewCL#&aEEagga~;7x6z7crS695m+ngitiEW=>A3*N30aMICOV zwC2vpk29K9Nf{45Ln%zCltF`4Aq%|GdV_uOcF7F5S+4f#;APp=C)NQwwtGWTA zZgaasKKYK_T>L*fGd%-};4pR@MV@&|efE-H`_J~lHAdTGS+Tn|DLEe0f|3R(%%p<; zs`y)|tV%RbV?Mq^BTSK@PkAgb*ok{mC^u)a=c>SdvUT*@rC94Cp~Pg?>}oQx$)>4L z2-=;h(cG{@SdWFSgp(*lL?W1$56$&Q5)uXo(Vw0I{mHOLGU0P%OZZT);!q>=j)uqXrEu-D2%F9-bC%G zo5LIO#NK=f$FWo5%ix>#6-lq(2-OyzKvA&wWwhfHc`IhA!{=Y5tvee&P#`Rt?VWoggT z^##ZF+>DUh8fsEs5xxB|)}C)gKQaa}bA7u6&Bko^yXq#nPY6lvhFsvHr@WBtH+V$PC~Qk4#Cy1AgCND}jO`3rjy@vy~( zto@k?+%;~7?(ve3)z{I=N?*Cc{R4Q#)+Mn%7A?jg?i}z92y*iRqi9khSdayxY+|X| z{32^2VV)+13a4~c?*lxmux%Q>gTr{(rTJ5Rucnzl5S%~4(v0S!{K z`5)UH>c&+itPF5-gM4`nC_y!P& zs=8bvneTDNO|CN}3-dIdY7E)38CyCEgsyAbRrc)v^z#5mtgXQ0nh{e-FHpUjFTCkp zB_)@Z&Pg?|!@*=0uk%J%#x%I0yfbmS5mv@F=LcVM6E^(tl-&IR^G^gYw<)sQ^it3~ zX;|)J@hbC#7|@RqIql)Yrl-bYV_&syIIN1)xVy@U+uCu)P@DXtQeqYe(flQoSh!y! zqFx1RDhSkSYQmB=y0o$f=1{pGSwl|v@;e_PArKGw&YMp=9a4cm#-g9_i(Q#l%~p11 zhA@GPHwqrgmH4j>SjmfT+1@r?&(f&gs;@X-+{iiUb?|$OA-@5e_a~|tyf2YR#Wb7_ z|85s#gblCHP`KX5D@G56Mc%nSub0Jx?$^_q?MDZ9q9_GRq zkuXAM7!gq&cK{s=}1x09vG3gQ1?h!JZ}I)W@c{ zJ&(+ax~#Ob0D0%KFW9oZ>QWJ0H^WFP?Q{vXglUleoQ$UjbHpDq)_L`hWrS2(X}%|a z$H<8{a6l9qvglo_nBT>Z?|8Umb6w>h}6eyspqxG zdS!b(XG8F1n=(HKA&z%i*i?i6*+Y74d4yLT77g{u;?kcOZyD9?HaM+hYDwh@*L|fH zHb3MOQ>3oER}YAl1cLIFyQnNGozS0*AeGT$RRw<0o>%OAk6Z}lQ1$Z*&*SXYqxxB` z*ia55N*N**phn9L2Bsq?{RkQ+Ml~O@{?)I@368h(-mQjF@0`;A8^A8*@9u1AhH88X@WFKt z)uafi0he%+H$J38x;jC75d0{qH6Nh`a2H?m9>r=`nqoF7d}W&bA1;tHV)!;EM>UL87@07kFSOh!o@ zRYVtOCXeD1@O()BWkzSmkGXao%E!n!y~0!K|2Qmn zQ@@cv?rC-QKXAw4mkWwo1i|DH;CNKA2j9B1;4z_)N-3f|Q*Tzsgs8t8aov82Xlva_ zaf|Its1mS7Dy#_m=b3Rk4s#}Y+WdJ#u^tO?vApa>~ZCQKF$x~J*=J*8JHv&}A_#zyS^FU~6}EQKiPmz7=>)cSXp)1ajd zEDYx(Q}7}EdgEg}!;bl0`J52bD|2gq=+3awjP6d_F?Jq4$Z4IO+sj%gYCsvEJ$`t1FZ(kWHnk~97c-m!?M$gt|0 zGtF#&s8MtpZx(*X^YmggYJl`eS_uWya)XZX1>s<@;OQ3&? zk2N%!-?~sL-!X&|a=Md!(NLU~`DKpO{?&aM^sPfv>=Ykchz*91iWRTI1^6kcd6{iT zF(k1MnteSN8!tTW5d`%{sg-;kYQCotA2!cIE`7&A?bw5xt+)WP0~kay9CRNoQF2ut;y;GU8E#43>)U=& z>8VMMqYgNKPWbS)@8x*0!2>(Jk5bEGMf=I1h}jx2E4gsA?(OoYcf{r+BFv&_k^@Z+^A}1Ou9eJTC8c~&wOgWLLdVi&$@3Z6Wprj zn~3~PFvdZY<2Wd$<^a=knRgD9;QZI$drglaY=ypIHS@%1nOHb#;1&2dFMGA#CMwdV zOU0v~-P{F5-f7!!onY;ATVM9^kjt0RNmFt3*H%sl3uX~&>Gn+*vpz%w+l%!8%L)k$ z9Qqop*@o^8ub1oGUVniT9r_1ZW{7kICgSJg6wBIL4VHdmQg{QaMYF8_WGyD` zHBIu0JEG>-psIOE@wfL|K8W#wA1D(nxx21E^=|u?7ST*+(+W1Yhi=#XX1VX|T^7<% zX%PwnLN?@y5*oybR4J&HO=3c)p-5{f$xY>H=5$3`GsISc-fcqR&%>&*&l9(ox=H}H z;Fj#wb$}KJ&1?Zz9=`+ZWZqETSR3xUd|#F@Mg}wB>CiHTjA-^Jl5}%|wt?gI6rs27 zGdkL)@CdxL_6a=-=!}!xu=q&$&uhws7o@E#Bat`kg1roMl}=B@C08b)cW3nXs<0U% z4!UqQ;Y|`ghUrWB84$?)qqYA9-UTPzsGTR%9j$_m6$4w&OX|0YI>F#CdDjzld3Kl) zIZJuYZ672Wt7%Nll%#tqndyHSXHw-H`s-yn?HWmwK=$K*kK>OBWjiqRa#lO;(6hFw z_SpYlL>nigUbMHW5{iGF7j_8~LD+R8$R2Zmg8|z_+26`6)cN;19A3jy{}g{TXaC%w z;(C`_E|(6iicIUiY@=+evNd-3Je_ikvL+eXf~b1ag{#bI=Fxi=e*d)Xp6N=2bWATQ zo~Rn|fG?~&>5ew&LC7c4D2q)BIH0Dh%JpH)J@F zqLQx?9Yl<~-e_m>K5d;}v}I|fdxzru?`IH0ufC4VbYlbYWsFb^3E-afi(hS&+`4uL z^pk?G$U>S$-xq`fE$%ZXjR&uUSCiRvqPMZ(2evT>PHO&XDxqZv)2bL!=wUkA0qh<3 zRL|x)7Nh77F*)+Q3cWd;`51GqhRxVHYMVtcVw5 zK??=b^MZqUlYn=XOpvRksFcED=Z3yQ&5q{3=eI!?=pq%wk!|V#9iPj_HF7J)KP2W= z0?+K@L`j^NU$R=Kv%qb+E=BVF%@G~I0oDiik#X0}m&j*-I4S|hcMc*M3b3EIhz7bn z{U!NweUb9gsTJ3$kk3?zCsuGH9@ZdP8(@5j?2XLDQt>{hV8&B}V>k+U!Xv5UY1j9@ z)#(|@6UH%?(BpY}@Iz>vCbWxYeo56)37fr zh0Nm=2M@V)A{k`?6Z14eXul45SN*5&L0S|rcc*B)&2)G*DRnzs3R1x4L}12y&Lwn< zi+1UqL1k1p-ev_@%#n_pMEhcQguBa#9m6sZ=@nltGvdtw=uXL=DCMa-QjJm;>l#~XjpvM@nE|VR0CqRYgo;?5t+u_RLxUHF;<^jU+b2iZ8kI&Y1*jFF#U-MOeoeF#$i#P{|4KAHRl4PWLyZcN3tqj2dPAVKu<>#*2u`P{NTxr=}ihSN=kXLAq*vy`@@T)z< zx_ZD9z_ev%dMY3$)fZm<;@R8SX7ej*I8gJ<%yS!rz7E!Qx2qAei9)DCnSK06gR;(# zhjuxV)_?;6cno5S)34~c{f~*qe2q=?MC$UM4x|{4R~nT>V_iPNKBhYoGG&o{$oEnu z`U>v3EasH32lOhT4Dc@ons-=Ea4A(t_OW!Cq@G?r0y8o%ITG+cs6F6)kgc0~feR`O zP~oo>rO`$s$Ruo>gQcNW_wBU`!PWsMZ>c2{V8UY!!P9chqy6@K}sz3`_JY0#qbzN9hRPEd+u@vK~ zpE>lSjd84cM`-p*ah?NNI;+4xdM>+sQnv5!vT51uvUV}r#M;tiHfBPX7CvRA|Gw@| zUnVI{qUEA)`D-3mEkG6KUUV6q#;Xygr)D4tyXzV2?ztBv%w9yM)FS%aY+~e1etq)p zu{=&7xvZMNJ8K4{Vn`KTwvwnO-ZO3RPAsy`DjH62A!N@sId`}AqLCM97DrI@c~Ff# z6J%{UA)0U;5QPsVAdi4U>GxE#Po@XSoFW;|_Z(k9UwTqYnlT)LlQX%&{?cjI<_|5| zTwmcFuV!Vv`aU1VS-G#Ul3UV7&yAEB;y}?atGnB7W&N2dbIa+p8O6V&b`?n%&P!S+ z5>qYVV$|crpz(<&nj7i%=pS;1A};UJCg|{{a)6%u+_nQ1hkR+S=RVRkHa6)3JZF&3Cp74!lKn;l1o$I=veZup2h5!vIZeO@u z>B-p7rmbS&ijE?aWwy#+hGLbU&c(8TkRRxi?`fcCWmn0C&n+6$OF`4l(`_XaTb&S! zzKAk%&9IYFp3&`3V+!jqWa8gvtC(3zz5m60#P+|Kk62jQ|F7SOg@}cVm4)U1=#Kth z^AQU-Co}v1xB1A$HGg}HA8$MEeWcxP+a8y%$&O9KgiXSPy?uEj&Te~-arZNK*>CRi z`!g=~?_@96y573ZYaX+RLT#xGqphtCRBB_JQ?Z4)(Gl>(WX*;S?uO%H4Ul|Z9ULAI z9h{t;t>fRn#Rx*6lrFls%%GG+h=I$KaD|qCpYlHl21iEVB@q(Awt(>W^2UHfJp%a_ zCWU5q5hmaYS>9l&HhFj!adEf+JwY7hryN3;uV~7;ydID)s;m|J>{=HW0h%9q^g}?2 z%uLO#Zf>n?kXRd7pr%-Vv4LRP>+d97fYR#V2aqhyjm$tA*?}v8+kh^sk7%laq|wFQ z$knaGUx%va+}+y|eve41tIHXrA(2oulu#jo*w2BIFRQKl1FC`T_TF=rfYDa=zWYCW zA%7GyFf~y%mNif;%>S#u17aNjKR>Yi>ACrJEb+8}coV(hUmY1-`)GgwqG6?^YxgwTalh2X8}f2+#M;sw#O!>0qjD?kvUJun>N+Q#aizA%OO>KV9`2cF2n z1-8Qr>Q5oF{dL#rmwnHFviJBvZ1Nz^^(C;(xyM6MnfaABE!T1xv!cVK{0J{FW z%M6NZA(;?h`M5vL(cI?5=Hcr6)kA`0WNZ)qHM@8JnxD1(WtM`ek(iF8sa}%dL&%5g z?X~UUW{Z`(llv3>qpzqX7Y{iwIs$BTY7WZOhgj7a*Hl^8_RMP|*}4A^mDPXs*YxUO z?k(VSYiVq4b?otXOMb>KR^Ff1;o5e*(%!`W4lWhrQ}d|@`Zi$}?HtSq1n34>h?A6c zZ2#sbJAL2$bpO-?yO;mQ_6CRoLL*+t!3Fi;6Ee4=BnTGi;O_z4)5}-IaX&I1E9Jn( z&cub^!agGGj^S#Vot!Q3PC(9n*4OrP19IWVRiR3Mfr^PPF0Dr(^8#4B^5EKqA5rDc zFSo_-vh2|2l+54&j?{C1@{dDqP+M2pXMp&RVkpHwPE8tcT}T_yn&0~@UYX1u;JCDz zyx5r^j2DNV)|A1|YuN2f9pHV=6ULN}yJOR5fsQ+mg!j7|SfTkZ-L>C`zJ$`GGWdl> zG^&d`sppwk=(8f@zo8PRg{-F`OSlhT+J2_ywYdj!ONJvl*uJTu5 zqdyjqo-FSxGa&BU+pojTf2NT(K1EKL9sZJ_cqqA@5_^|$a2ki^X| z(SHyr#D6Q~hXv31m(B$vzjrN6ZJz5t`{`|M`{~!#0v@um_ApJp5GUY_z<#R!0kZqe z4+(+qTIGMhdY3tvJ>Dh996IV+h6PdfMCE>g_o*|#iJutqvwHHd7fuP0?>HU<242;* zzCi(uiyw%l{uRHJ8Q=Q2Ij=<@5x;)??EzbTl-oZUpLzAWgs-2@H-QMJ?Ezqa{3>kj zY(M>JaehL;9($e%WljApuHP!Ac%da}K_y!Pz|@M;qcD**Do>EUr_3&n>6buw>E(P&+kyR0z!Mb zki5(BYe!5#=mahocV^E8OP`_R%-zdtL%?tOuOa-z@6PP+1O{@G+heJPPXW0%hCK!l z>-HyDKkWSNw_%q=fZ+8{x88n3V8HRdA`TGJIRsm~!NMPMdH=nJ(!9_QAqrZ}oZg zDaG5y0tOK6?l1sCG!1z;GDxCAEXY-cwu?dM#j%z(x=?_RwRHD#BsUtfz5sZ^j*2h@ z(y8M+uoE4#_q4z>AM)iW)1Fu`FY?kSgyoyIfXA~5UE0G<%~>}mDOM`~{K?XwF-76# zMw%7T6;nFnOVZ71h0?0e_9plk(P0}{J@{HZ>d~u6X%>mp2vjMa3e6<^$pfHb!Nm7=gWB~wt-yZNFQMgr3e z2bFsxUmNY1G%0upoVcA#(zkDOZ z*i}=Gm1MvzFE%>h_^kg*ubn!wBx-((7TL}e=2%D)tc4-G&FMFN?%rhewP{m1Ce%-^ zTdBRAn>DB1U{sHi_=?taLJoHw;V@e-`c6T-dbA=5zP(HL!5oz!Bzo^{Vo1tLbntoE z@T&_o>3eZde8H!w?qXijTX~)8Fm?u7s=IxZ-39SMvCF3i%JV-BVSTh#?YAdXh!i;X zUUQR^BZElb5LUvDt6b`}Vg~$qw$dcD7WTk6&uCm-<2OUAK1 z8A?yMxK+IQlO*5Ds&fj=WUTENQqaW?fLR0gqTxVbe5VFem(} z`HA4GO1Olj;!HGPw3hiH_z9xebHhf!nE6S@IwUHHRVWv+~7XSRDl=DN4@DxJB6{(ssGkd{h zAmB};wcav-l?&oV@i(8LNx4f##aR-3+g!Dw ziApq^IQEix4Mbl)|D`9H;7xLiSqj>&B8WIzeb9oD)wba zTptF^Y_Sw+BIC>w|NTeVc42Fp+LIRZjA%}Ww2`m?MYIcDL~OroAS?<$5Yy^t3_ghG z_caK0T=1{&=*MM1G|6?_SHS3~La0O4PJkx~@cq$4)FH`Jj!Uiyg?){5>H~hNC>`N$=bG)F=`x!G#yH_#3u8h(O^o6E35AsFzd3>g15Mjq??!PJd+6g8WPs zj> zr^;13cuz<_695sRDuxV&v@vg0Z_HE&zt3;gQ{V?uR)coRh;JUXDJRbLQ;)qZ*oSbz zm7XYne~cVH@ly5TEMP`7QilT#5x-)GSc@M*K~TCWh2ZctH2_E6 zN`FB0!<=1`n#6@hpyr!t^0m7sW1`}=P##7S(*ad=lL@oP%}{Ntl8=7m#qbw^P$E^bH_5&>BMT5EI_Ymw$O2SPhK;?M{_=>5p|DeAk#Va zFPtSF-x6Jr3dbzx?K@B*E1!C}CFad~+M;qk&dUa1sotRVnFc~PpdA>bMrqQ8kR2Zu zktAEz+a&K+A1B>Fi&+M8t6HbbY;X18*n|pr2zls*PtN@_&b{0=$l$FFg|~`T3h1Tn z6u`b^Qx3EB^A$kZ1btUu^flTSMqUQ?20Q9VjEO%d9u5ZZ-rMnWj6i6$j7LkO#Duzb zNMlL@@Q@8Rl76I5^~Pe+ukq4=j0f3F6P%%f?hrjHAX~#urv;pO*f}R~wfT0C#+_}w z!WO%WHO`2pSPc1L^Ib>dozB4(-@Ktzrjd{`HJAE){*r-8`lLdKN^4J|iq zoLVvwJ!XkTb=$M0Ge^Bjo7CrfXexn@M(;y%OF7>OI(Wi-^Ii;O96SgU(XlL5dVA>|o->5!q&gu~F}i#)|f#>)NceJPmlXr9<=%AAIBM7)KUB8oe<{j|1H5k+fNSivHH{w^XSO}ItNiz5I&LU zku0a)qC@I*5>Bn7m@uD|Hh(fHbivW0v$qz4Q-qWMP3-YSlS;|gj{sseT_A>P#)TRoK&vs>lt3 z<0=x+rq(0D*sGtFyupP)&Z*^ycXpzYQ6v7Q<&NAWT+4ol)xI?0&Og7FyQ>1il}TfD zmXh(-i;0nc|DPHcFAI`=xfyVV30F$mlYv$!%Cg%zMsJ|-7{JTL5)Ior_Y>ri8nsKK ztbNoLcG^xNJ)bs+GwkMFW6IFVq0r*)pW}91A(B{Jo`+)9&4*W+nmAORex^$iY$RCS zKAR@fN;dJ-E+IE#)n*jY0(^(^u6mZMA8b=zJpwck`XDZ7mZs(D6X$tm2J6K8Bpm(~GsFGn9<_oo1|1|6p znUc@aoaW_uhp+ode!iv89`Ij^ouSs|=o!YAGbK!JrG+f&G{3USbn=36n16-s;kje% zAD)W(y%%{)=|;hpC4z$YXkJ`N!zQJaDrivLMOOw8s6ky}cl?lTcn0YDOG4M0 zUqLv}%|W{Axisl4LAleW0377{SP1cM5Yn7}h92s{SPGh!pLfFBBpKnyqCl zJbHEr`#sn}tQpC8#H3R)+oqn>&y8y*rt}VdtfZQ?v)+_cMvO2IsU;$oTdj@wUd#=~ zP0RXp`ikU%Hx{g_%Owpd+`F&2F8{R z04naEb2px@iAX|(AsmKdLSDlxQrbU=qn??SNYg#6FduRH>>h9u+4+Yq-wv_B%P*%E zW?5HOpG@HRBR0gk=O}QaXtWs1Ff?a1XmHHy3xqxu10Vh!6*vXWA0ph`!$+F}RYu&3 zJVlQC&xu0_^`VV8yw_&p-k)-2t^?=z))QxO@``!#LfG|gV|Y;!_34kdKQ8P{;8FwH zvGU)CCC`~x*F6w6;`3N9T<3nR`_Q&N^Hz*w9q-0V9MBY5*D2DI>5l3sOUz=l*tD;q9elCW}}OLzWg?w z=@?VW-$_U&;{S-f*DI=Mg2q*zRm#<+fG@B+Uc89!f^^~j4**F(w!cT(DK3wPVwrzHe{-KoNn)5#gB|QudgRR##4pFC4S4k z#}oa@s24iKB60~ESSwqFlB)enCG_hnNW@O>of@Gg;Y^(^f&qoAS6Ccuit`cO&UgW_ zAVJSw;0_Olm$FTy0ejmqg3xT~9Vb^W0s;1t@L@1kk~^I&!Q(DyO=0MfI`<&x4<0N* zU*m545Yx3%9}QRGPwH_g7>(3N2*=%n zETF;8_CK7h@9i(R!ywCh_5p3?8>s=iyjX3!m3F{Aozo98S#k)Ywvh-_#u|U4+;iP} zN%s5B@XLbrz}FgAB=gxlV@Wlg0|(rJ17}30%FesGH$~1`v6dN@<#a-tbt;N$h@bJy1N+HZmtmxR$VAZ9i3ePu=e{G^MF_*qqJ_?@q0cGZ0odp4z5EQ=<5X!0 zQoSr9!Xy-q5c}XYi%ki^u9XNKa|ly`iW;D2=J!OAfIXBYem>2};L(<4INF`tNuL#_ zrOP9E^{!?5kclPe4Ap1y+A>TKy?#;I+DtL?54|je0C+4%mTURW%bXQEb9>3437`ts zXX%;LEozyM{nN;*Wh_eqoSAHKRgpz z%)748$rVbJ>UlIrQ8r5!9v6@SJqrjwZa%0TqHa}wqV1HB30BFnRp2omG08t_UE_Y_5;+3hvf{6Nb@T*%<&Yoj8O;D6o843oG9BnS1ur<^Yk`fC%(XLRh@k4`A!Pa-> zEnkaBQ`>#rU9~oZ&t90%I!_XM7tZa01q-5AqxOkUNM$g&Hn-B$iE$4&F=dE4rLJ|X=o zOXBy%sA1Zojhx8{A#0YewZy+H-&;5b>PH<005d09n!~^kvUV#>eH=mJ|H>(k>H4X`2bhJ8C-dv2XE{uD}+|H#^q2_NA;?iPg^? z<0}o>Zov!qS-G!@fo&mAH8J(7hUK)R+Yip3pLH+Pg;pq|&K13K>5Gja%ryj1AFiA; zVVHwa?eHk?NUz*1z?*|G7%9bf)B^#rLZCs;453S|khV|jlcK6Tmryt9lUECL^c_8!xZRO;H+PGx5?9T)?vl{DGtn6_X0C=jIu~H$i8E z%rZP44^bDC;S&o*3kVNVM6oeLluhT}lK%H+>?K;cS`bLvTQ}k(*mAb7X59s*Vkt>p z`gc3yf@_&Z`?SP?ZmaZM%L2RUQ+7-?{*-L}-iFS)***)V^FVa(k3~zNn;PYuEv0xA z#xr}pCOcFkl^lLtwo%I;5pHqzB!tR$rUjT2lDf3CNBg_m+jnR?=B68iN`3Vwuj!c5 z5V>xvc?Z;Naz1IBJ3!5i4aP19D~zwtCT1w3A68{hxt$5GEn&6#k=#?>8|fq(SgS!ag>`6#D@_n^eQO`B|aXCOVcner%6=k5>V z!&2a(Dm5Vm+nbWK5e9oa8%Fy=i|AN7#d?ovd|9!mRWW{I79Q1EEvyNXshOO{rRgsR zK`ug!o_mU4W)3TF=6kkUB;(;*X*-q2;^spy58fl9wbJ{`4~71UO5OwA-#gnF(YxMn zFDr)nEz8{mycL!q#>Rfj(EV_CXL2QW zW&On*b;?HHp5zCs&rd&BJOb$0dPtkXb!)94Sp3^BkefjGbT;Qs`xVLIB}$$=zi-GQ zOe-sJN31i#bUGM#MP?tr!}$m!3tYi8x>LGrmwWsQS~&ZG2d3x}p&MGv!}Y*Ry)b|y z8Rj8i7?lg(>(J5eH@4i0=b7s~7+|8V`O*WhqT`ElVF#Jrs6ny^fh2jjc1JL(Y#TG5XSB zw02riPQ5doK6Q*-(ie)emf>s#vZ{GrS0D$2Ym=P!t|~*=_vk(;%+8PEkbbC0c_I_J z3=p&+YBVh)vf)PrFm)$qNO1ej^~f4-CZlMaRRCywK>-e4o31i4n({4z+(=uijj!gZ?{~dHsE5B*{l?P z@jDBe9~KbKxW@uF`~7zpy4$(E$_d4K-}V)n1`|HO#pWjv-Q*yZgn!x`RowklpVQl0 z`YE^Zq+##sd$PPUY4YyW@pC}_PaBDd!-I4K_7)n%)^x(BmgFXyujaM7B~lhaOWoJ% zCM4FG*%4A4aMVe6%6G9<@&OlXiJD1m81rmD*$rK^J!T;>Hp#?AI;H|Mq`gY00E_`q zHgSI6!&`29{Sh^22TFUuFjIx(wsQGm!4Z9MyD+4`KWk$*6$Y`UJXJ_mi{RED`+e>m z#%B54dVv3o_2#Y>j@TY-{@sOR7wy=@TL!EYuPg>u4Stkg)HENhAC{|5*9XvjuR&0n{i{abzG1O?%@HO zGpivO{!15*nQif7s%t^2*u>oe@*8t8R*}dnWm3hXc9OcR6?Mb1YZdIHpH@MyxSs6y zN_WqWXbc>Ne>^FDAU9d09dwdWvSCRFObFgzkHpvHLG0Ox z3A!LEjm2)?fXDHjuz1O8VKatWb30HxI&Z3cbLJn#ka4mL8vVeGymDxQNRsZaVb`t% z4VAty9d1zJdIpQ23vGkkyqiM*C-{a`db814#2q6n+4hf`8l6Ri6ttY;Kx zzja>Q%JGXIe~Ye@>hilsZO)#}BoihS@3*;LKY|Nco|#a{We~t(V&)B5W4q*q6)e!> zQPhqQtdSX3c2l3pu^<8N_y_Kc3a@dw(YnId=5DL4*QnKKE2dly+WrH%8h#IIIK{~- zn*-31zBaaep%M6iFC8>a7TAVFW7%v!CBLo|c2U7WR_#Q?v_b~gHlc!4r%f?ZOkz59 z`SX#=+WHG|`4Y%cqt(2+^I7&He7Pz-TG03+go=2yS`oDDVai*jg~es5I&D9m=}Y>Y zyss=Uvj1`N`t1|L4g1R&>isGQzC^xm#pbUz4#G_)FtOYqv&j{WQPQ3Uwgy2En?3Cm z!UVoK@-tjyq_bq|K+5dG{Pdv?m@4#2XO1)8c-hU){1DR%^K^YmuSXpBZ!JAkFFiDT zF&PZK!qFmX^f`2 zcT&z-6<rycj5~-PTKQi?;GEC5P`J9gEzaKW|bhR zQry8FyQj7TM=|&bd&L5|&#vpm^|E-~ci-@AhbY2`V31ex8o#Nv9#(iC6kI;>d*#4} zuN2tuc}qVetdtzhug(p)N)QbV__Xy2Q}b!c(ObTdd~?N&j{GEZN0m zsvHr%*5kZ`ljrfKODR2wZ@NKMaKqw-U90O1;u1=+dKk z7AI>8{casLvw_{nLk%Kd^?}pUzKl|l$)R4k@7pX*3e&OB39b&AZvhoyxgTXjr+NT@53#DnZp+v}rMzZ(3HW@yKNX8@$R;<9XTt<3m>iyFJk<3g#PC2 zZ;_~ix0~X%6k^(I*vE}on4&a2(voVj;_iYnhIP)-1(!n4uR}3Zr%xo>bTeS&Ot+DjdWtRS&N0o+eEJwUzUCh3gK^*&SI1_$6Df`( zO{4Xqv_~qB$Zrxan7c;v5IJslaBrts+=`4mXKg=LbGT=?FC_Gpeon60_uF_kTi%lg z-Y$M4Ep@`7xdtcs&N(il_(`NiQ2nRBTayqf>WD#F44Ld40@_HcI?v-TKftf z&q|=^3`*phxIvz*u0xjN4f!S+t!)N0$%YT;`S^P`HzT=SnX4Vdkpx4zr%}#}I@^aA zGw(cps26JtG}f=oQmBf6YR>ZY0txf~D){A57*cHV#Qlv`c%jP!!-DMyO5+Jk~<;6+> zt(`}`KvNfgBbJBw+!mrGSA#DaXR>c&!wGgqQOqx>C2LsnS9m%$sywyIgiatf{N$8? zx1{JsIew3y_~(M83J3;_Iw6P4l|JdO=66u>5#VP~QCQnY80jO#`EKs>8zmmP$}_C) z*d~L9R1=X$S||BZNM!}E+x-%Rk`s5z%G?p?1uEzdZsy&OXAiZ{4vBYV)62mP0?mxk zYNJ2FUroywg)-`3C~-OE-lkRkeI5-sGL+0{;_$LR8d~XbH_>62OrX1=cTf&IS`WcD zBR{GkFll|w1b>`e0A0?lZywY*ikuob-;(f>5kP@8t!ee;$5BFo>{`5!$k=6)c0V8! zt5BQid!tgECsdOMz`;pTIJPs=2T_1_dL5LQ6JJm{WKTvtP}E}5b)n&^#dFHCYMv2> z%BQXm0cPTyg@?$0$sbAdmLn2(^c3fyL;eWiS4f!OS%j+~N6mI5l6yK7$D5ACm`rHM z&#j-;zkfm8}#jrTj3p+EVPD#jnC}M4Q!Yi z?)dz~Am|gbD`Ayfy%}NTtN{}yyz$s2rdznzE|)Vyt@L=S*uHYR1d;CdixjqDSJ}&8 zt=2`-D2U=Av64JM<}*c7iD=CUm1>G&gY3}nSxaAi7$pc-XV5Q2km@@%j1N>UGu53M zspUFt=j&pLyU%86ZoY;NRSz*lNM5Z8ER#k_cz2ZMzzki36NX(pZ0SC)d(GAah(mM_ z<@CGi^N!&uh3{Y-I0|$dl@z1HSp`^zppoP~#Su584+{M3eF1^xDt`W6XZbV9GUl()-ICKaB`>0_o{Jw0J-NE z4<Eu4VzVe%x+&T{j+&&PAU_LCLB-zi>VssLD&5pxoQzl77D)pMegj7~Thf#}WH zr7TI+WFiaAWMI%%-Rxohg42+=-7X}eV3xDSu4auRU53P+Jr^3K!SeE?e5#%?=c7M^ zD=!qatug=~SfBWH&u^Wdcl+@=fL5EXH3hbBd;#tWZ3#-4sA;Fk;gp$^Fw@@b?1Usd zE_bLKY0~qSw`hf?9;oVjR5sJ<k@i~ITart_f2fv=VG9Q=J)a%@$ zN;>vRe6_-UWR>dhk9k*Ne5^yB@(r5u&&v3^Mj9N%qt*&Z3)PP>J%9);?w`h;Oa za4VmQa&0d&w+ozN&OLHYGV>zHEuF&vv6gy8pCHyZlBtqXIg1$s0hD6f`>o#1m|%H) z6sFseG$jS1w~;&*QCvjb=jX>M?Eu0an+_f4_JP}#Pc~+vNpj-#-T`>X5K=IZ8$OUv zoOwaBq5|5aFoBf9`R7KIs(R7@uWGuvU-nZNHgXV%zAu5J^lAhgSfc45=5>0*`;+G? z0^_$(ZUPWGgkLL?JWaXWJ)ZA;^ki7#MoYf2B*To{I)Uj$p&@S_*S3~;Ri>Z8ZsGP> z$CS8vqyl*qo%`4%(Mc$3%fZm2;(%~eCRDF>>rUv`sGV^aEA_V%0Wb-JslRq>N)e8c ztV9y;-$K?s%fOR1hojA`aBy03B*2>0oZfuC9Q+(J<&RuBsaHTs%1VV6z3_Uzg^tfY z-npZy8`QO(ko+vbM9)ucdw3%+?oq2`oOMg}z!&_Ob^*)3Awq+DhYZI43w-VcS>WvZ z4SzeUM!RT`MCX&!2k>opR)sRs0?`r!@1B~d2#(~jk?`*qPB%Yn_w4ipK}Xk4QoJIH z8tBc2ETxgYA-dlwA{)B8wz!sz3lMgDjqONUn$>bNNz{t=uZ9tjbP_f}PYMefd&j7| z+){fHHD`d5env%>ONt>hlJ>t-TwfcW_Vi10W#=T?$-R*vW7hUx%G4(2!C-(Ov6iMj z^~&fID0*;%HrfxX60B}NtAjg+ZD^QHE*N3g-OR9@v9r#CvxL1d91TUt^b-(@0d8n5 zN^2l?#C(>q``)e1w-q7@cB(w7i|&Zvx#KPjLP3P~5G#>goxQ0!Hpt49BmHwhlLqiZ zZIFi}4d=-&7fyy@U`xOO98@#$F~-9vko1+5GCF16-m!Q$m{is#!a_JlL+%8O)KNjl z*R06`H4v5nji!Z=D?Vvhdjx&st2(bp@>BGg=y8_zWxP5xsmwr(L3o<3N#S0lF*`MU zHK^O7A_zYVT@vb;oFMTBR}?@B)LhS=W7hd+%a>-{hUfgPrtCh!^5#cmPHqSH%L2Bk zl&)X3O7q6`HBw3hOpd)YU8l9DQ<3^3XkIRFUv}KHt;2a(*tGm2%Hc#ImgH9i)C!(K zZX5Yo7mHyyJ@S3OvtE6LpF2ou9;wm@9_@x|KE2%)MI?T3V%3W56YVDd(07})%Eq@P zfCb7gML_nUREqjcYnJ}DcT_`besxD{#s)3ofqe6b;#7E1s!Q*H@Yc9z0ZPPk)I-x! zKhS{((ehi$7uWZzG4KTmQYAl$SZnm*(0M0+7(AvqDCIH|FWt6Nt^TahItjXj@B-IF6f#IF$Tj5 z$N)36uu|+p=4&_JVW0oP1X2MbS~VAlI+;+!+?IEe$w(`do4g<;qaC+Z;8jha71Kwz z2pzT!qr&?6BtSLA+$X*@DO}KP;IrZn9=NN7jZ`G1<*gqF%$(BO9Lhj!HJT>cPNU(3 z_MZrlxuEDIQk0fHieY5V2muB!RgWxRkL9*bN;PTyt-!`8K>+$b1fuOHQ zbbeGBn`qjQGn&7lcv4_%x0`OY&o%yhQZY^*Pvh4+TwVkk3{}WcmJ7k%cWGG-66+ zGJ)LRdme|tA*&t1OCvxnNjR+{S#=|t;o-L6+zpryZQqW+-I}`ba>vN@=48WzF0Hdv z`b9CVN6Osxs#@b`EuDJeF&_W85*jEZ{9HTM#3e9M#7*Gu`M?B*!K`!p@}cGVl1t=! zMitBGt}USX7)o2dw;ZI_ibE`VbBTReoYMMYTR3 z(#zeo@-4FT=g`WZl^)c+TR>JFnC%D2B)Zb4%y0ZdI-wv^or6@$K z=~VeUA!e_;H7H|^=90>Rr|ZXq$IAv!&@n!1Ke#t5r3xag9h|5D9r~2N)9LCLemTw2TN*zbK(!$Db55nPJTZCD+DyY(RPi-xx zmZ~#M%{Qb@osQ?*GX(A~08-QDc-v0$a+gq4&YNt=_7!LV3yKneu@(Jhq$8-=PqjY} zhG^eq$EQ{7STeM%l1j@Ns8{}TvJ;6s&L@cYr->zR)&?9B#|BOG}}nS#^JY{p^$y$Vx`6Po-X;sA+ePuR?QKqH1Hk&{*tMjLRuh$FEMs2i7sE3WF1U;vKb6AGtU(IILdc zYa2L0mj&uDbyzq5MAy<_w`l}kt@*-R{j~3yV3OUA5P1_=r#_mp!Q?JChti*vH)@JL z#~eZrf5^_i#-X0m=Owhq-zq8%6kqm4`7S1yqLm=s_v6j6z=6q=odF$$p`e7o*STfSBxp%!v+NVtO}Q)kb~$d(yoD$7^pDSQAo9Q z$y^I_Pz^ECi~GD%onsxf%zQgX)f=P|o?u9aJcWMflAF219w7#)dud&lNoOy5NA?mmN=&<-9~ zuVz-0DyJm%aYrDa1jC!$d^|SZ6uqEg$J`n8X`C?hBe#%`{eBVQa&C_HYML6X{expU~Qg{nzrAtoG#wY6^7 zXo9a;ucA^Wd@i*+_(gBp<@UUNi>6pq<`3KKY0j5kU>dvOwKE9;u@M+v-|f?A#r*2_ zh0M2F+FjM=u=HhO&clalj3<_Zi=rJMs!IfXi3o;9Z8nyeWkvlg~MU=0r?tr zuT@GrK7P%J9A`XDMqB($3#K=R<6C{QNdnfG?2Rc!Y2oD)e#b6PU(GhJ-SCEI`R!8i8`Uu{}!w#@7>=?C7*El$OZ@S5!8%U@a ziK-rg^LOccJbnh2IAKv?+Q@!oW45=DgyB0Y!L6;ZX+)i;3v`pr&TS@0Mp$GQ|xQTxG{=0msX*~8rUWGHL1p93YhnvPY_k0KO#V-VPI1QPg(9pJ&#qQ8W>Oa0I&GI4i^E3+dV8G|g7)J#@s zy&3oc0ir!xiHbc2F~t=?up`0D70&gH=bsb5q^~^=OZR2HuB;K?wRv~KvZ@sBFs$B8 z;K@<+P<@nnB`?SaN?%>C8tXpDcYTS-HevAwMd1opt;$|hHHsQ1OEHsuzt$Z3+`vV< z1fD`HRsn|BJM81S9; zZu3_o%};zuY&xEh`(U?Bs%XQRq3FR=qoiSUh6AcT_nO3HY0yr0TL1zQKY!By>~-!F zh3;reh?Gu@ovps4b0C%%4To*YTBO1qH{44pH!kS*t#sUc z0+S*RVW@rR9+v!Jg;2wnN|lKI1)iq}5bmJSdeZQ)(t4X6 znN91-GEURo5;;0r>-D0ec*J5B^F`=PTYIJ9ITFWD*Gk>BawsR+3g-yPudjM7rOI5h z+ohG0O`B9-zQnt<54sol;K3W>&uh~18QNJDA#t#{(%u7!#_su+;vNX?$2#J&OybKb z8n1bCv39oxE)rdDw?XcAs~NL3F@=j2^f(E9-{)`_6AKsj7lM0&vGN*aSj!8Qph;L$I43Hv2tipI`) zpOvoOeWn*Q+x3J>HTn(WPEx?WzJR!OVWb;+Q2`o)WLd2FF3i+!%47~3juqOAEV2gY zG_5?3Lq`nlP%j~XlgungeL+!6n@b%>|%;v}Z=i%^u|4Cn{b=4aW+Xj_l2Ud^8 zIliNlYt|41NYb8x!mCRCbunl7*N#{11uN;ZvotlhZ}l+yHM2+<6JaPr;ma3LsSKY7 z2DucjPa)^R5UvHif0YJ791c3JA8r^Nhj7oUx3@=_6`JptknD3XNrq6!{J@S|>10uKo300}hi1SLe*y(V+I=p0~x@RrpjAaH5km%5@YC{H%e{XN6XaX!)i2XS-$u@ZzK9RNJQ8R|1X_ywXP~~>)=nI zdTltu@i=@xR^dVc7f_Dhuw!A)L8uY+f85o&;LL{zzB)j}PxM8~E`0Mqlx7I{tSU-U zJJF1a>5+E~BEV6a=Af(;J}cWuadHfL^O zJYwWAWg8^C+X>hUSeq4qFNXqFFmu>zjPFUnBoKR*Xvq}K535)v0bT=^ZALIc6O%H^ z>w+|m;zM$=I`pU-^Yd60xFpOuA$%rA;P$WSB?$p^&PHb$9jAu@O0Q3He0O!BU7D@6 z+ADYzn<$Q~D7Bg1R7c+mqCq}LTCn5_qER6#UcyHAGZsd$Xs95z**E9U1nP_@%fwxUBoN*wkb1 z%JT=0cB)*4OcfC7K}j{eVB0Dp~&93>3U>P znW$Qs{I}$TL$(R9#)@eTsMDCxa~uK8c|vhe>evQKBkB)jz4;Tb2?GT;l6E^g9=&EN zyr!R6-CE$08ygxky95C}r6wmSsf9QAhaGsLkxrRYH4(BJ*}CKMuN7uNxV~jW#I?f- zCzuo;PRtDBgiN}p)_wH)ZlTQIX=iIC?iFtrLsF{an}6~tYf+9ag#a6K z(ntnD{kQS(O7~Vu5)OA7)63IMxJ*jn+0|3>)jDx@BT8rb(=R*-13b1yN~97}vsL(q14>YWnjDIO!z*F4(@Hsc^x(p>2=#p5p)5FH)! zS+QgFU^nH_*N~KiKGlyMnsCJ=+3sB(5gV~HQSkSwND($X=-SA+LY}3B5p_nzfB#QC z4)TZkDUb>lJH4m79EM(us~0@$@!g!&0^kIgiNoCzi+?68$le3o0S{vMM|y@Ua~hOV zxpK-`R|`n(46rtXCOo#DH2Y40kkVmk%?11Pu2s2QP{RXl#8DK;OCUsV%BHJjC!Ps7 ze`@3BUhv>s_shp|lWEd3VAkA&jC99zMsMFwjhw1M#7-mKB~VTJGrY*+%B> z-cx=MS>r~S5)r|52qTB+C1Vvmi+0{BaLA6VHknp5sgV;39qu8Dd-4x~1x>7V zySqDnC+hh}hdE>9ulTTW7BM_)Y&_CJ5O|Hsxo-VosR6`qfJW48Q~ zC;1o&4)Ug>@_%*BIYUBLY7e34OAe+Z4Rw%F(|qkT0!m43tJ>>_p=}1KCg3o zcTZ8KoS(!pc?t?N8CEI;2XSUoASap$2&^vbmuc|?MD)m(*mUxLYkoB~C5}ftb$dTk zoND?N-moAL<-nox@VmGQE6gy^RV8a6WK@?WOcKA^XUqAX-uF{etzz-F0tri^SGR=P z3WJM0Wv9o+Je^B3emI-uB^bc2t8?28%&~ayFLh{PHdU=DNs4GNVC&L3i#lPU9GhUD zZwJ$OotRS(kI@x7^F^_=jt&Ev6eRrGj88~9-9_#!1V3*mYQ*WHJrtYY`0v*g%_Q3K zIDD8}3}8MG6oHAO7hRcqT}j8riv8IVfgsG0<(X~bcjggdKxf%Cy8vDTWWWlH$ndb; zrG^(^8q`{#{Fm3davqMUV1(81-PpD;B(MoQg;S;>PYz9JunVwQq^cUs^J1gzI&XJL zDtOsO5ug$$24Q#ja(lZn+bFq){%S!=Stj_0ZT6`bqfdsLQmuU;(yvqrD(I~r_QOW? zyGapBfvv6`ywDll>>n*%;2|6-==w=anE`#%m7F@dp&*yCM}U-DIZR6tP{y;UEN*xG z_z=8*p8>H6? za)734=D!k@xn#RfCV3+`zn(xqgcDq6VS>8!`i?z>onmViEtlVlT*G)zpK4+Cya(D# zi@QVieFTM%y;YX9@R`}Xq;5;n+Db&2;RfBq(JueMo`8z~)6WbG0rQ~C4m(Ow!1j2E~tzr;&` z&UsNLQ!P{sipxnvy_ofq{>C~__dS*K%?d4vAk<)@pz?qP?IbDvvQEGol8atvc@&^;67W+?mR#xkmOI;3?1vp+%tl}c11s)R8miCd5lsXt^dmA(cOH~N?G9d zWSAqZ>aFi%C!DsK&-kt&4v<)DNjT?4x&*-m4&QiBnl&Gr%3N3U=SEyB*0kw;gpa?2 z*v1i-FRpAL6)Lvh+jIK8x=yu49#xCyToC@SOcPX@sibx*r8Ux&h2L$m^@W}K2>ZD! zHwH%N@YAwPq%ygEzAO&L%JR`f++tqMj!Trz-gw<$NoVon)<)`ab}j&8@dNeO@Hm?C}Plao9JJ~v0wx6X*=__ky~fB*tC$NUC6JM;r4wLn!pG@37Xh{<_>`e9|1 zEX>eGPeX+=J+7vy4CV!*)K9Kz!vw;`_IJ@eg1*1WtFQd*rN=&gLdmz|3(?ckrXS7r z{<8H0QEu#CHljwG$Wp?;$5U?z_RBfd-SMgk`AY{rX?^r&F9RFe$IZMuyVcAq^n*~b z7hi8n4XIvLvE-QvUR`E|~sG_2oNE*S}r1Jui~vevp-q zUVO$@g57v8TTJI)kI|6N0uj8uu}}UuR;UI~YVGLRk`Oq3y~Oj@lz>n~l=mykK9|tta)PLxjLxoNq5XUxls%O+AfZ{V95@8k7Bk1V`Cx6Jz+;wY|t8DRs9_?=Br$K%&I^+i_?22tZT0-EEcar8Q>|f zI|i?SR$NWoFqo?DVD3QCp+TA-yS)2E|9U##3Pp;P+ET8JgQN?1SwxKqOZN{13TH;r zCywTZh_lRaMA_@I6Jh#xDWJUi^R{V z8F+loPhKx#>nGoc+vv7XnFubP5UcC<6x(IlOj$cC9E7nj?gaAHhX{FM-wOmMYcmzr z{~Y&S+XgZ{zL;{$$76nrq9mD5Vu){b`?b?k7lCbY|eNjKS%p0 z-*>vck$Pe+AEE>XFTqaT-!e%3RC}^Fg44d2utfFH>n`em89XAb% zZyvOvB-kbMMWL&Gu@FAOkCg_^W`B?y`I;XVO8-^Yo~30wHZkBWlRK0vU1@!*B35KT zLAFw`cTal9?a7I9M$i+D=;7;ftdbE^M`l z!)pGXoybx)S*9mzSs@f7Qob?+=K^--s^z})p%%JPonk5q-5NUqB{bwPFrA*XD2bv# z=Wd4U_`?b>zeAz8JSmWkEvfC1%Iii74q=a>AgA0v3doM2|=kF;R>XcIH0~#7f^ zC0k?YrZZ(TQ^08d*grjBclSSxQ0xlIBO*g_a;TD-CQu0kS{8bfuWD9emRFRO9Xs6+ z8L>GfD!=U$61nD%j3U{IQv%RpnfIPmfAED-X+-`%JNGL-1^$UF_FR%WF{6&X<;wRk zQ8rIKjNQU00X=i0{V=aWVbEt{Eycc{Lu_cHI=M1)dp)cbs$9-&mVkgwdutzYa{FhN z@G?S*p!?uc5Vi6j6g!tu9{7mNm-P3E$EA4=sY-Fzvk|l9Nk=Adivy^Dk(M#==04BT zQ!#hD-Z-~Aa9@45#g9(N;iE0Q`h#00fXKq9iF20d96Xc+1rO!lCw6;aji(15z?b}1 z$K4uYcvBghAQ4$EkP9s7&a(+RMo3ymMKs6EL$U)xL~v)^2Q%x!Q9F*^|xrWE9h-Pgz7!Y?TPs1A#5t@LWm`ZFHMCHPnRFV1=g^oR4#OFSI}AH}|s3D)v2+E7-don?6qhpZDnWCL@&o%zWhKEvo{c91j#* z_9;3A%%wK(pY@rikfOU2A3_wf8V~G1gv5P%Cv)h+?-BBfJni^AH7rXZ0_|>-%p?x5 z9L5G4jJThn>A}b_0NWZ~0C2nq{?^GvvaxlkJvp6Q9$+l=@2=mzj}R6I%{rRA($>zE zF5vv-{pkAf6ol3-T`hVy3LxKRX42wJw-eX_?{k~cJgG}9uT;wcT)<8R_ff^1W%mx{ zy00%hk9sRb7nsTu$zC?mc>M7^nl#Du@S>APzI}lZTx?gcskMySiL}tY7rkQ(-zWSb zwEVQksGMUcrTk6c4}=H%ZDaN~fo%=>p%VNvlj!}Smp1a*=5sQu zvj0haYvpZx1NRX75(N)d)CdYjE^x#Qr%YN+zqkdwbN&N{uCJy;HUxWhD$72T(6-2~ zL!K;x1!nLDnHdr5dcK%VL?-A}Fo=%JWPD(v3-Q}oTHnlvWKpXX083%GqlwL%kT~*v z<*cI(Ou4vw$x|2}aEp+$lN(HR0E%oVVT2ZkCk{JT;XvAuYAn6R__<+%XPYmrrgL(9 zBIr+HRmD2j-*rrkT}tWLWSxuibPv=qmA5JpR;4;t+n^$& zcJg!IG6QA`RMj@9kLpLz@3ptmW}&`mKv&WzzLmpJ3|#@}byS zN=MG5CZR{bX*^^Bo66~`t(5jCXb8Qs5tEi`cyyytJ0gM39D!+Yc}a}CH+7T zk{=%9eC@HNYC}0e{-;L2ggeZIT|{RT+`(sKRY7#HHYiD=u|sZ1WVTNV2iOTNn{H=T z>E!4~ji{1xAug-rDG5ZEsOF@oy^>Y|U~KdH5tXPB{kbCb4_O=|T{HCc-?E&r9DxvA z@ccRVz#xaHI*o6h8&(N?(dS z!qM3*cv^b<0iYT~I{?J2;@xYV$-H+1I*@jY<1bpoddu*I0EGIHZ&6k;CBO~G?EARU zrBB%L0-imu4{U;ksb3IhAR}uir0)8X7%2^H(AYqDES)iCm(R!m*?%!>K&5}61+jn1 zBaoNi!lO|I(&a=&1;r1%LUpBFIO|8iD`WIp({dPj&}`=BtJK{m*A%9D?Vdl5d|YSI zRkAaqt$=Yp`yNIe;mVqfy)(ElO4n?=Y}>YN+qP{R@3L*%wr$(CZR_kWxzQio4l3%r zpPn_VhF8kL-o>`ZQcE}S17=S!pWQ?BM166_hVhi$gZ(PeYCz_2)JiA6M)ZaIADG!2 zjNFzfln9j|eoeDnFbbRfBtMZFdoN?E-EBhfWXgy-^J)YmIkW==vk>rx97F7f7qzxU zmw@S>t|(hGW8sq;Dx--%a@Gw#Rcx^0KM|9xAE8G*0B1p4Z4jZ^Wz_2~sVWDde~KtQ z4-m?aM7H&jDnF*i5LSv7;*S+H=s-HdbV@~PxwK8rU$dvGVu~VkkHFL|l5!p0+X%zc z!78R1#%9!gy;`?7_fa9H9?JLripLzv@mW=`)>X8q$)XDroKRUP<{~g1O;@ZuOSaa6 zVzYOgYtYO3#Y1M>)rR0XR?mCQL>d8A(nNh$Je~Vj2tNf&SxKTHzi!^t{GJ5J0~q|5 zopaa(3#ibDE1~~TUrF%83iMarD2&KcpAFPbW#x}X3rk`!5GhyzKJ~2vS>K#m1x;;y zFRj28XzKuUHRSSHnR7PIm3&n^C_;CdOJpG`wr zyK%}3c6Ry8dmD|r2nf-}#k7PmgNr)^)W4Y`cb0={$yu#M6Lk%VYL5Y6Z$UAu^d50k zGgKPYj9lqZF=)Z6WE;BSVfd~#97HZWOC*tpZo=|Dy5K=DhBoJS_KnH&uF>hg!fQ>wE_x9KgAL^eDa$mfq@M|WE= zT+Vh1+6EA;Lh(H3TDyzIQZvqQp~fKpV<5t&%w?>#>pJ(cGvAI@SLtq1`A#=KFtH!a z>P+~M=VF6$70>4?P|8Sn@{M%Un`UFK&!jIzWGtiG$_W}Xr*;UGs6m$TY{3#^zaxj*65a0aJmMGVv zshx!RHgk|BuPCC#-1N;GUU6ijJ?`3kJSb76>@ml#Z8EVCAUYSSi|Y+Xt)-psk|U~@)|1eSQ&$V_Au*RBNpcQPXu_0Y!+`$4cYee9dZ z&dDFi*I5YHEmG%we%}GWqq&en84#fw1#~Ui*3q0($fK}xz?FZ+ieL?V|BJ9F75&wb!Ox9r|o*B z`jog+J|1b$7+XV7;T#P_f^Zog9pM28uTgC?%_WH->RK*gq@-hI^(Cvb?Q2eHk3{O; zapvr`*?8I-=wqEk?Ja=hd?y29(^t7~jYdMmd46O(|6Wb)GU&lZ9RbOv`)BdR&&D3~ z@`XpGtF|~0!*A)3qlMR>ML4I3{E#4me)8I1U&-^Y{D$`1<-{tqbj0nz+huI$edfyN zPxo20qYwdPq!qE*`KE(w+1p{DBoh-#V`!BXKXSujgR`*{MtpAv4FXjH@W;DJGHlSu zIXwK}+-1WF-E{^U@19{XNgFjz7Nj_M(Q7j)04V|*ZElbVM2yEftXsG_VcLn!J#?TR)7xyIuLj6^$=ir9(DHiAU#Dm1J>rf?7f z_B%d`$?)DS_Iib5F-?yE-SO#d3-W&7s@!RG-na@G@Qh~s_Bg#ES z+f@jrDN18DjOa`cD>dgPuSK)RtrvLjChsZQDpo{;-SftnunxdqnYt?gnKrHKw@AGgb4C;z^87k*36^v?li zG@z!cDX`sL*GUw)^JIVzgn_Ez?%Vv#YJ3(zVljQ7q82RATR6#xGQjoM6N#kZqqXgN z|BPUM4l}DrgT>g9vgXf z`T)|CclxB>;9riU(b>~Uv{C7^$#a$DnHS%kfVXBp|FG`3($Tw*KdXO z6o@yNes=ue>`{7VEnh1_QcBxi?Vuf1e1Xc>AfLvNq=;% zoj|y3siaSXuirwh!>Z^Oxti-eF#g+?Q7``0)D{Tzuq?ENufb>djg3Cxc;rV^}&^SSz9szbS#?J*XV?Bi~vD0yZPyF9G|qSHv27ZcJbn1F_r&MF$JtFEjYp+O~UoTfiF-p;)&$ef#(i}rHt**Rq9$dc<67_7C*9G0YqLu)%Z82M- z-D3=}=m$!=)MBI2IQCA>ALJQIT{c$=t8yd~5nT_s(bzsfHsSa;0VEg}mp^8og5r(= z24IxrXF_q4Y|I z?`oeS;0a8o6_Mx!QfxiWRpfJ8rU@P4t8xs++Y@|I-)@ZMCv}%=CR_i zX0ppkc)pRZF3VD{E>e(K;%YYpORrJxJ6tw`n_S((&n&3bd@TSgjR;}esf^9*>03@&U9GpLdNy?>au-C6) zw(e8YW@2pFtIV3U?%Zb6C1;0G%#>!71N6{KZ#TzM9Y z)AevonPXJ5{1joj)vvy-`lBFIfy`8ec}uxvu7(O^veLviwns7t_5NY{@&%FG?EcQGTwni#RCVHj zK1QLlsuWJkhaXnydBDzd_t$t&C>d~#HZsQ4Iuk@ALg6O{`=fGqtLNYel(>r|33x0( zoh-T+gc*{vP(XM=n@^5*|w^I*A>^0L!zaG0}z?42l6JmdA?M(F!tTZkMe0Y&5L!?5J?#OeElllIb zf>dHOB7lxTeWPT??9$T*7Wj z3?6o5@SaG&|2}xrhGgpQcRY)N7Ej{IQD@8KCSX?qtl4Wt*bdwD*Jd(5YHXEp>0vBb z1R=}$);j&{F^$c%;yc;YnC8mc@rcBwhlB7H5ECoMyP%LBQ{A-z9hFqfBD`2qbyYxDPGG5v<6ptJaz&HX=Le~qul5HA+|B6Fw1Hzr)XhUe}^)3m4+agm+ zbc2S_4U8MQ1U-+ZD+R$^ui8t^kEj$DVr+pr$kkh++eD+^_*gwByc}fpoHva^mYBH- zxXF$EZ?Ur=xBP0o`VUr^ zC4U|NP|gUPJ<_6?{J>bqO)SS#a>IiJ6ZXHxtTg}gCUgoy2N}b_7Xo9oSe9P|F)$Up zd0K)(kW_h1K@Tm&D6q#JtAp`;DV8`ip8+qlH0uD8dvc}DDr!hA_D7-XH=`wq`1b>w zUY>2yFt))$yu-Hsj%-6hpanj+7_G>o+gmV*bMajiSiH$kespv7ny|zOY@=R_@T0MN# zoRS)!7gRd{7V~vRRZ&>tyvBm5jwc5(G^HzMyaiV3{b5tpo;fio>nW?qrWU-KfzIQM z|N09Wm*j4dp*Ojw8jo!8TN*6g&sVg|?%}G|lArSW>XuIA@m}KJTaW`le<6$u1^=sM zbAjj1ZeL?QOa-IyVRgPe@2s7Ii@g_L$FB2r5e+HgAql0uLN(jL#` z1m$cqMeVX&gcNB{&sV%5b3{sX;GgA*qiey>n;Bxoffviq%7$jScGGW}wEd6}%--wS zv5y?tg_Y`fI&M8H*}hVIvQ=$hwxZFcucdZKwS}0Mpt>g36L{s{UcFL)^4-)E9iX&| z+a}-(kS&&8pLZ~Yl*mPkSV-Q2RJIXSj=FX9Pnx-ymau)KPXed=ecU5)hB6jl_BRp1 zSs_v|!M_&i(5i9rLFt< z!T-Karr6Xt0r;TEgSS|s!!E7anPH^W?gSPd1Wy3HD5|^-NSS8Y7un{4B{l49@TM*5 zi^>YZUQ6?vEQvqU7art3`Sd>&zgaFoiA_rNYUyPj@@frJZ~R;fVrw=ESB82`)0P5` zA0GqfNu$JXM~H+J>3-B{WMIL*dh-r3`fmg^?TM7o82B}mQQGx23v&VY_h5*n%O@*z zFM{IAbsT|Ku|zz2`f3k^EIdw;9YVW3^mK*8+5)E|lZ0&JR2gRzd|OPxR~30y*$Uj? zXlOP3QV|ATA=fp)xTE2W>jL%l8PV=*f39Aw@+OvLz^V3z9A6fAC>&wM&M@7Ogi0OT zn2lKK$4X^ARbx0Tl9&N^&p{VGpVr$1;ScAh+S?9v|6zW@b~dXG))QD?M!I28&s+U* zJ6!&R)*KL9`O?(LG^?n?IKh?)tnfj8me`JSQwd91H$mHci#(d4I&Xw_OU{)^h{>6- zqNP(rfTJ;?sug9Z+-H0}oe&l}`PtprBZ+emyPJZgtULDA%Kr3kqIj|pdM+f=6&cdg zIZ-G4GFse6z4Bfnr@zS?!6X6hB|lJW0qcPe`YLSXi4ma6b-+SZt}vm3E$Y^Yai$<63>}z65Ewbl|avE5uW~OZJQ~( z@dsM~6r9cHek%UQ8z<7BtpY837OS_9LKD(D;8ug^<`X2JUjr1-I)$i{M*VAw8Xank`7l z^aahm0G3slC~uFZ{*=bXlcanaY2@FaV1BLq4v^r0PJn38nD`%z+tqhZnm=pA{RY`t z+}YY+ZjC8Pej5K35p~uwJ%c!Tu2P{7=-$*=Tw)H^oU!2htU(mJ?rKZAJULv{WhsO) zQW+g#A4*h5yw9kHFg~`soQU-9D0n$AHOgN1m%rR`EbY7?QL+3TLCbMFQZwvwq!3hJ zr&M}(>=@xB>VasJ+3+McSmupcU5Yi%^5{UW!!%GK$UVU-vwo|#DIe37FQbNQj|j{6 zHEK;_AtF>ov+;^L_m!sELoh{hUC4t611#@4heuTo$sGd$ z0zo=}LG>*i$-Z~IOh)QeoO0=;p=$~Ac@Avj6WX_Aj+?6igX}UAl}_C~^UGUgOHRYE zop_xy&u#R$8D= zb*e%R=_R?vIPuE+o6JGWS5y$x^WYthFV$(yz#XroK1F7?qK|~aD!GCHjXlt+&gVF( z6mj$F(+pc#wcMcfrlz1mOB}`^QikY;b_tG*C(EMF@c}@5d706(p@KVHZoUY!NA-Kj zGJfOMaPbEiIg&ldBQZZa(YA-tk+E*NH_>DL**)(S>o%S9uRK=(?CPC*~+)x&`?Piuu^@=7C4F2`GmCS?m99< z7&!b)j|a#c(qZ|-3F2mY#UESm(er-#Y>K>X8+}#smIEP)&tgC-G=L4A`})Dya}WmU z5~G=4u-jdsZ*er|l7q8yCI%i0l1IFoqRw0TUahQx?HX;MD^-nqY z+2k2n^qyWnfwQ2&>8eRn(PNFfxS@#}$vxw2nbUKDLT`s-CMI%8r`Rl4f+<1+5@i8F zPRXwOxzP;Zt(U;$3!3>RL#~d*tI@Ys*<_jOM2&bG$X8Ldt5R!yqahr6B=EE;*9Dq= zSeJsdY*?$57}-O#W+_Z^yw-J!#8qD6L+mg4-_BeOD2tnHn`M7UZe~luYE{;lQLL5V zd&dNHue41Pj>skcm^HB_k7|_|z+S)HBMq$T7@%|fGJ9l$?F$;;Fw^%0WIfKI+)r|?y@Z5n)ZH&JbuL)tVl*EaZd5uqhUVzlE1*f%gB$d}f8HDcVt$gAoBM}pHdr4zB zqQ2jEd{LnVjbZjrjJWHVGra9H;N?``jFu&S{iP$9%GT4-@Qdo7Bz~E-<{Lf%l#q6^ zb7CDL?G%%xQdld>g;Pa7UZ#KuYBPhflA(bmifr$vj6b4t~+Ok|%(GTJgv zDDBOnpTfUTCLe4z+_MDCq>#iov(hca=hC(w^qy-&iU(w!(CW1a3p!}G@Z*{B9ec9g zl##0wtc4P+)gi?qMrZa)0|XM~Y37w#wn!yENi+;Yl8BQ{`7B7Oz-W~rD~PaeFCahu zMYJSk^__>M%sqbGuwN9`;%qkl5pb@+q0V()gzs4q;kpB_A`L{G&}t>?DhDR1ZF}xD>`yRLfU*he?Ld>GjcDVdZrOkk`0cfX=P|Dy>%g+LZ zoZ$*kWbot+&F??M{PE9r(fLnENW&?~YTTx4 z1sgccigs0!B0(i4kNj(yo-Ak2#pdZpRm)m?3@dsCbt+HdQu9VrW^*rwlOUK#I}uAg zE(%sl9g9DP(lFvZm3<){@M{jL6kOes&gJiZ$es1Mff*T&hSz!#tepFPAhE2x?AJ5YoHq_f7o2{REKL za+y77x-}O3PXJlB^N2;A*{vg9r>NgWplXv_gPa`PANP?(T;v1E-spI7OfXl};n*8j zOi1iz6wG<_sbAjPIQOB}0Zwf4$$X?S)3Y(m9+X}s@?0coSd)Tc!g@as4}4hljQA8H ztq|qRx^1;eAml|fX|0aV74@4PDpZi)Qgv3Hc(8g*4)s%D11?-u9+1;sWFw*h zyOF})QR0Iqg=yj95`%dy6ik>8Jf5+MFn|$+O-}QZTmC4GQdr1*_Bf~4yw;bu@r3Xy zol|k(XmOs|bzf{v4mW)Ex|rP?K(VUm7pqf-!}1o4h{twn76|73;`5dDt=UG}y}|32 zpNt>xRHJ0Z7OC&efy;9wv$C~(_+RpVqv6yX1op_;io23pxd;wi7EERd?J$-!pvlx< zL8R&SpuveIBwN;K6VHVPCy_4*E|oqGqx(Gs=uPTe*!gQRP+NJsl}L8pHc7{1_Qc9~ z0A=_6L93(k7qrs7TxYJ=cW||NZ`HDi>bbj1>^s*F?DscfWRm#pMm{j%+1+ij;+kiQ)e*iqykYLr1%n7Q~$#gm!!9zmqfgpAd3@xVyvOg23M1B5eclICXx# zUi7}*eO*>%+B5nSpeqOH-TaR&cN2l0=ks~pyq=KsA{T6ViMGn z)K%uoNWL}HH%9gJqHaC4l0SFl0Ufaxx z%HN%yikY7t9?O`YS%{h2|D^GuIzyBDXXO;3?jK!3G=u%BVxVg$#W`_h0sl4h=l#bb z)xZF@&GGk39KQZNX#Su$5nl}3`S1(&K^gp*%Uu0~0OtS<_!Bg?JAYQMjSdWi=^vdR zT*b7owy^$2JhwT&{*O!fKK1$lk{SOeOn^XeeR%#JCj6>TH}+TXk>*0!7012Q@cPK; z@^y#H-0bT3_^oaG`_vk9W0OOZot^XB@E?rS$`JOuX!l|+S9AT>Gzm312?beItsv#Y zf=63Rvn%d$eUY<^`w#WUoL3MLlMVnJ7~4M~3AF!yp}4S>Y|xF34ZkwS;4fKz_^?QB z)-4wA`LC+3#^z?*rsub9XL)dS_*wo$R_FRc)s_}V$3KziFZ!2Z;CIUm%ms`Az#k4E zzpH`s2fwqg^CT|gA?~9HhEMO+?G->-*qS^)E`;*_2bv zI2=O*gWIpgbDUwokF~3$wlX)s8UHlC)bGisIkdtzYk4xhvXzm!^$j2cVCLZB)CQ*? z3&_adf9NlII!1JBYffQof)T&8=e{EtTbgR#U*g9;qU8X;W~K2B&P@!hzqGkQ$>~8{ zi$a3~8=K#_!QUae3!C?aufSHb)&4lykE!BM^XzK=&)1{thIeNdKnu(a%)hC(g~U;{ zRsnKy0Om1$x_xoXU+H`Co4;|;`6)_h>In;lzq;HHYMJHL_1WRURha(aNiYT%7nWy# z({~FHGBq`S^doWkEP$QAOB4X!oSK{`aj5>?kqvMIt22l%bM_4mfM+5<89%~Tc#=2! zVaWWnKm6eVfPD3Lb|cXFs$cj+6YzQLUu>Ua%s+S|!w&)cr3ZU{Vqju_ym$6-kbL$Z z>~9H%KkRRV#&_)Rc#9wQ_W{!<`|)?e#aH|Lpz+)P$?yN<;eT>r9}g>V_x<0ctIz+* ztNr-1;PC_c_nfTCyL0#tYaYzs?uuXTt)HQ(xi~jG=4w|MOXKip;?*jLfd zZ^&P^69BvPJ>h#(3o&YWVAGVFA+?j!vj zQ6W$2~dVB8qIN2$%`2@-L(DXVwja}p75*`g&{umClz*R@JFsYyjYAesSxcu}x zxe6A7yWQdjb$G9|>qUf(6Czb1Bs(5;83j99L_0oPw?IN$@ffu%o^e_ZublEgu^H_b zt(wI{PN#MaI2EMgL_b?ZVHz`A)jWYOM~UX?r(aZ*C%9WumCAO@N+BHeIf$f!j&qS0 z+bL3C+F?eKd^p>@(_$$E*TTSb9MV%)22JkHy}w9R#7Ra?=ZJ*cP#;6JoN-rTEJgbz zu+X3Wt*mFb(Z_NqaZ1)(sUYCBo_%r?GG&-gX2b7(KG;HM)W!Q$9f*L3zbq;I)-ihy@?B9{ppuEqxFkp8;r! zwIO+U%+n^WFxZqGuP_h-&`*C8-j3-B%hexa#Mw!BaNuGOz_VoW=U1trIP59j6A`3P z^}NC7L>wZ~{IqcWsWIzQ9oXb;M&~(Jom94uO5Ar2Juvi>__GwI+aU1EK6Y-_5=+tB zV8nKjp%E)O$yj6WUO_6g)(=msPw{n2Ke?F>AbgG25Dp-2SsnkFN^Tj+Yj|Jk(5Ic5 zB?auq+FcJx_d-cS4A{D}n0&R{Bktdx-s-SBz(0{v=$tOMY|Lk={e2{bI@&!8Uy4`T zsu2gTrRZ5otJhCW{6WSI)%fmidsn~5h=hGM2~QrofY^Tq?CNb2jfk^YuV<0XWJayX zlXt|{>>nO+;(s~DsWu@S{+=#U3nKT9aPq6Nq+^Yf*ehtA(m37GMnF63#`=aU_h=K2 zZ$RVY_Ku=KKZ~x%v;$war)k$5Z95e&D5doS!FMmULXS(F&fT-ZvOo{m5s5*lAJN?_ zfMow`D&u=Y6Kp`!8sb?)KC_>#zmZl2E>1z+Aa zp&g-lle73PjivBqh`)gbRsVE_G6%-tJ6VjdACW0b;5<|Nf+Cz=^;Zt1P@T~ ztBd%Naads0NO|Itt--Xus5@c{6-FLB$j`}Xi&Yr}(F4k7ggd%_Kd%?N=1ADy^b5C; zsxcb0PkUd5gjQSOv2a#11UvHm{`bx1ezY!`zavc!J3zq}T3&$>^CxiIhg@t8{o-*} zn!E4DhBIpIFuMux8Uz-$k1PitgsELsM}+b#gyl3vNK){gb&*b`;~=>?dp@Zrc0BtM zBOWHNt0rUcO2Fh9b5n?esGl(p`kI{E)zoGcJiM~FKBX|(QADh&L>aQ*!i*l)*>_4< z8GCO}DCligDXz-FZ0|dfYBhn9w5{?OOXz6A)GX&6p>K@Tz4N?mKCU9V*OE3C<&1O& zA3P?ZxiB<-Uf0|1h(6O33%ao2ngApPuvYsg$8mW|TjnJw<@&JYwF_83uWoGd6TBe| zyN6>Ees!%Q^s?MPjxrR;jxT*45fAPof!qT4RoY*KZ5HJWo}vCd$5-kT%1RhS@NH~=Duk{~%oOAYuvQ~@mO z5(@!HLm`!JNl_{aWW2;d7=+S}fIba{9oC~o0w7yvZs4X3tfj3NHiwD_TqVVA!g>H& zsvYr2I>;i?uPe$bfo+@A0|=^|Igm_8iABOn2)FPw0J>Jxsn`d3;0lCY+ylXEXbqZ( zIa}ridG}R%ztp7JHJw@nD*}|~LtL)RW&UUDk8G-R>P%<}wgd{}nRd+7X$6R``A^Rv z?s=ph`v&8&%L{_uK~+cYl;x)Q8{#5Z^@shWLXfj!>(bpdNn@6S7Q$(y(5uk_&{9M9 zfo~*!e1JDz&Y&aVJRdZ)F{GZ1e1m#;+dz;%u8%J{=;iubz?;`1`rS3(p_dk0(-$5Bx)7Z4+twiaHK1d8Ru|@we69dD+<{#x#o~qcP(h;AdcdXWG@wM z`aWOgoyDOLb?E#Sk8aNB`D_Db4jR1^4S#-uNCYI`DxBc~8v^+d6!Uc)?vv(mekMW; z_>aaR_Vx>BNf+txJRe;={@PeINLg{|t<#fV&{Ge-Y>8?L9hp02!f0cQS(mIWy#ZPKL^hs$r8K7~%??i2CPpf?uJ2|S(O((12fy&#`3o}YLN{S8=+n_v6M z_W^;VxuUePh96*(eVOHUFN0}i1DZoZ6MEG#6xr7++;Go~tXfAEJf93tj_5;`Ym9Wbyp2gH z^TUlE`cUT}-3?_0!@Nf(2yq;Yv6behC}^m0CWM~J=tnrkMvfXf zN?eLklNo$(1kKO z@Z5Qv^mP9BI>W!f_7wr~lz;VYF<(@D?w5x9ghdxiOskYkz}bOk=;Dac@5+l+YV@+q z=W588ow2O1@&XOOru^(xy{pmwKxrkoDR(6nyqOOVK#n=Bm%DW2<1%(s zu_g$s$WyDP-l8DNticBDL-zMN#njw`6mm3f#=X1yCe+MmQk-PG4&TgP647bs1&r_5e%O>4eA#KU? zcxFuPu}0m|E>74!aApZoX((n3=Nn&E$CpSC6D}=1y#6c6bkJ0YUEflO<%u{Epfucq z4EFov%jnNnuOiWO@e#S;`N4%zIyHS(a-9|MNiUP*eznz2QY@{IRF$yX3IbOG{`Coj)aIJR{f zena?%`xmvH*vBE#eSY`Vt$j?hTXdt0Gr)^f+m3rXekOrgq0j0&_vG~*>FbsyriA>j zJ9!QC&4bS2IvGw<4i%1I-rC|s#hVZq`+9y7^%HSTc@ndMaa`x|IPrtT_%guLR7)dd zzglq$bfeEh*-j#?S?^!$Mht8eM`|C3xx9KeEHm64?@>~7F`1IP;}8bwvI?nwA5Z^p z4q(W9EdOIJN;ng#-}b$9aK3i5EE_f3B6@aZzu{E<-amDpy`0%NoM&y|8XJFj?Cbu8 zHx)K?sE)b71-?^9YU}6veEFUKECKauVZ18;o6ECVp~h$_xa9#iwA#4jS$hbIU)R1T zDU@g^^`u_Se+LC?|0M)Hgnl#^&5pU4>LSQ$|E_Vw2{L0h=!OVy#eU~E{p}#IOh$`B1N3WB6kp7!MpecT47$29XE0h)`6uA!B{DqQJxnZ_Y&Oln*fY#q=WUwRX#w1XQ7`F~G*@HjF$5&!E=~wC&HmhvJRo+Lg<}h&~ z9JxuijRA*4xYRG4)stg*?s%4a4{9j3FA+qK60}sBN#&2GcX^tAm?2Vjds;f(y$>Av zY3=OGgVK`Gf1n@kUS{_G7IMpV34cN+;WuC`!mYNs)+XjOX(hVIBWG1NVR0@_Fg;s- z20)uNRvWZwyQ1;;mcg;wJJ+$x_Oi7ckYNt%g~nhVuQN`59o$OHSk}4jr<(9xd>qrB z)^`s38u*CWM+M=k^Db0Q?%Whps%xYEk>90tr!mF3*FlYULJdkmOf#b+Ts9Rh@`Mcz z((@Y_3r^#vFsjw!i52dFmjrEXOOb0;tW}jMBSrfC{rk+dWZa}hO7r*^8At(2W#@{3 z{cPJgy#g{?`O^byB$UqZ@>aZfmVg<1LhFvZ77f+yf4q38K?qFKyjuh(;TU(&?rxG# z=IcT#RdJ2YAI-?V2vy8bP>NUBpn8qL_LGaoO-NUadOYDTwTFqD=B^1edNtq)B#y{V z)48M9MaCtxvTYHG@JssoR_|@J2B&_2NDH;%{K{#B?jo+K9E-K=eA$Sy+Gz@3kx+paiO+mD)Xq(B?x8QFM&Uye#_k8FggWo&7(WrpB~R>{P8_Jk znzDH&$GS&hO82|3fH#-{)d)a{R;e_RzK$1QU9E82=xiQVesEZP{kJt7#~55fC2NR= zLV4|gye7<=h|=xe7vnMbGOp-D*lAz6uKUrJa~upVYt@EAV{{%7GPwG-s)7#p+QJU= zsxjIZ;qPLZQvlhkx-G5K%u0V_N(F_STZ;TT4Sxo>F9s|?I3e-GepY z@_HSJ z=T}Z~{K2cw&2!C1t;F;$4JZ+5!g>+}C)-~6|2~5VAKIvNM27gV<9CO8?{74u&{Wlr z3-783*nWj76s!aL!))XCIf;G-CMUT1I|<0)O;1<+r@F_j47KgIDmb>^aFOMRK;25= z=BQUlD^@Hu`L!&&ZwzF&Zha%O>*fgN5H2l$l^x7Qa$A)jw7MCg z3Fd0)uQaR2hyXWJD%UdvxGn2S-@yIsAeW4zb%x=O@z54TM~O28<5tzpI>$nq@W#eW z%i}GHXlGDo6=ge5KH6yIQ*zT{#t5H$U6bebC}tkgX^he$Wj+Z_2!*6ULKP>^qhy+B zAUhS18(o7|b`PK1Zu3HDtfI7CO2;mvnFtjkgA^BFH(Mdr6*wChH$Ug!2LF{fiL_av zs_hdg=(yA(ZPe$;LZmeS*OsR9z=Z-^WQivmm6#*b`h7W6lnCI zR|sY%k2ur(OVVI*yipU_-BY9?Q9&n@!asSIcR-L=OyVkF7fRFzBq*5~( z#Q6aA3pVeCV*Jisf&1%4{CwI76hQv@Q79aL1tu^*zO0;!VS(s8lhOB}Z6I{c_idz| zmv^M@=GLaZhU>EY!NNHUv!K*k79P0YAK(~9u5jw{fAUUvgSS6i)$r~h@jip+?giQsN3zy1p3=^i+gau=8t zG@coZ{yPu@HB~uobrZq&CgG3=ekMEC(brmHMle&yzztF9P@m(=-8^%f3~Fs@74@14 zZyQ^hx+Ld6cM{UK$Duxb&rp-wCrQIvtBLB&;@BU+!#3;-20Pw`@>34h>wX2cJXTD_ zCvnT7Ks z>eXcffxPJHhc6!@7f)d_L|lLb%~Z*d%0Dmx$$$EnSa7|fMN`oTajC6-Hg`S`*gt`P z8Nd#US}bRb=245!nliIxcjvFIEzF&2u@&k66@W<#5OQE}ALDhdzaWE1#J807W37|K zjlny$dA^Ls-WTRe=Iq>~X|y~9csV9nhWL&ZQ-)AIt(=79$@%ofZ|nWM$`qnRuaeM} zJ-{WWgSLYFG%K3Cs?^I6qD3?cd-2|IFWb8BWrA{oeLF_M{*#1sH_&{n)ZeJVY+GKW zsk=}uiP;^3XOO&y#NHpA0E@a~Ln2Gja;r;u4?2-kbGY_GQ`1F;-UmS3OFk8E>^ZW* zdU+SCjjO**Y2LhSmQrd2(c|qdo0!e_>NYN)#1ETbdC@?D)es9i^FDh0%J%XynsHeB ziE6XwKDz+P%Mmo4R#H}wut0<6JA6UE@VjEK$B*Y_Uaip`hrw5bW7VObP5=OEUZ37N2(CPO})~Glxw8?ZB zCB8_XMype@YFCnzpHydw!7>2X2dukW7BcPaycol$7(@qI2y zwa_uQQ6D~>pRuZQj1|b3iz%E>UKjSdl4`(n5aVV@xd&dB9LDO_Vpd6^Or$O?7dr@0 zdDo9IrI-~z;3U;lHTe_8f?7Gw5RS;5J?5@%pqC-V)$PZlw0P5A+)79qaejL8|FLxs z!J;iuqD7Bw+qP}nwr$(SJ+^Jzwr$(C>ir*4z3S!eXCou_T4PT6+VzygqNgUV_sE{@ zEbo1Dbp{(BeAyxg&kJ~6Nh1nwOGaJ;eW08e0y2<4S}tJuNuVjxU-~X}Uy^PgEa153 z^-56H6+~~Z>5o#)#W4*uBuYp5N07lC7R2^YFf~0WB>NH$L6hh~?EklH3OaUg;!FaB zZVF3X0x(R*?!yYvB5Pju@@oRGJ zD_pD+2rvj!9EyXg##KOAt3kwl(hKzvlHd&yneIajWq>U{U*-toctIk;*% z4S%(a+vSRR?B)LLsK(yp4M8#6?T}Sf+3?0gri7LES$5B%_)+UMH>u_My2Bsclh-Ys zQ5!4BvS{A9$UkbGcBBDjPy0X<=|P%Fv9c|!U*3Dc*wK*ov2uZ@oN`T9-29<2X7F`7 zzAPUG9_Fu|-^rzLV5^lW$EAz%6-r>}Psb!sNN3h(Tc?{GsfQ3qk=Ly>iM^Zg5g#g2ryazB_UnN|IRjh(j5SV-b4?M&`pVjUDp=-<$A6O8 zPEZU6`oo-O7zjA*1~lU8x%I-w$!#ACLjS!Xb**Z*PjM%NZxZ0=zGJCdudVq_AwMRC zS@u|0cuDA^Zi4d2vz5QLp%lZJO?)wD9AtNoHWlqlRQeSJ(S(?F`%~Sd`yd+(2t6j& zRsQj$`gQ=aCtJ1wxz*(G%_vFCDkuWBpvB8UpT>>}ULMnFSPfKN>$XyqsO~RFRrAod z=XXI?Q9d%qWUR(&2vN6lXd^-Gx(wBzEw}1Dmbf7jpZVSS1j)Kwd8~8Y$)?-ieRrWg zul&urdz4Zb!ROsddqFS~p_4@-KBj%0)4@X{mf_1)QzC{F?I^q~JC0+69tY_LhX?m% zdl1s2V>46F6}3Z0fotK~7G~ls-y;`VvYg@9Lj}yxg9?5_ZZAZL0HeCc94&U@8#Jo$ zXbSABoc+Wsp=1+;Qdj+-o09tDDWx9G@h+OLI4e;0aWgOqUs)F$s4Bl>dLxjFv^`C# z1+gbe$5%kFot9^bQ}wTD>K?s+1iBZbd*teY`5eVmQ)`ujHO$XHq-BR&A)09OoA>>> zk8fR)*6`EI?!`$HInf1D&Rank$|lSVdYAPrMe`u=UIS&fbucmo9kbn$woX6kO%c;k z=AOMf|FizbjQpnqU=wNCK)&W4Yd7o~B?{dSybKCvHcQhDm6Tl?LE>1qg6Lt**Yivr zPF58Dj0Cou1t;mV|Hh}06KrsbX__7@qdTN~2nprL50aXLBe2e}0=+DGK#i@YF>PsR z?asjF^89GeA_KEh4;Qpf_*4-p0h;X7vPIATD5JAU8&$#eTL!s0OtA8z$Yv&m-xT^F zj6DyREn+2kuKRiQ716=4K}}|&ME(&0yS|z7*S!lCXyqINw*d2MmiKf~@hhe3X zL$jlaMvYzRJz~bfJp82Tb_e@y6;XsPuJwn)0co3_Wo;ci;!Uz9#1zs(!<*hoYJVgqkND8lsTixXJhwFL zl>FP|wkX5)Lf`tMta-Z9g{dQ8q)x;rIlaVV2d~Ao+;^`5C~*q4)fjTGiZI+3k9XME@VmHk()53;P)r2 zHlS$mPoN*lY6u=&j4aC#86;FGJB~Q)!s;gz5zJz|({j`j9#pGG0nJ3QNIyuT6b$5=AY*`J1XSy2vC@+jFnPgRYD=@d79#P4O=HYJdH|&3xMu4{k3&1s+PO zrExcWiJ0Dh!V;Oy&r2^()xE!Jd8ZI@>#rM^B8DK6(wIHwjEX%#zFulDri!09cgsW) zq}8ingR+|?yQ-aPJMKBwFSS+nfA66iXJR)XDCtB7$SEXGlLP2pMj=BzYH1fdzB&y# zDd40P?(w~vgcav!WIztyEn|5pLSvB%>bR4{m1smzIzi62+3Fm}^b?+BD2!KT&;}i4 zJ8^sxrdE9YXRU)QW(DDBcH@AT4t#J9X&Cd;*Vc&cn*xHW3nD)Z-4&D;@^30NAoGav zbb8R%7tpW!zB8|fcrgu+rfWEk_|mrv{68v$&H|Cy!p$H7GlpRbE}aBxSh^oAfIK0b*#Ag_|{LBC|97}%a_LlDJrH&9Puso*OXYRM^pNE7DBA$7KfF8gad@LbwK zD^4Q`W2WK_&F|EQrbs!Z1XIGMElOaIbf|IEfu5knb|+DGf9xTxbKwn3AC*a@42X^D z83-q6bvwbOB$S6QY17C!M#De$)-A4@xA7;&G+FJ?qq?j>@oEonfnc@lmZf+BD-6NG ztX`dzR~&@@`B*tfP}9?ht0H}P-*|y-@?7qib?52a^w{ZKi}?bC8#sYDzxM6YthSk6 z4WAz`v2YeM4q8?tM9#-l&s+?@(_BZ&=$H0WGw)N&bz0u2d4L(9`EO?gpSB@cBNbiFl>4qJ zjx*4i-$*EJrPnQe3SZOmTI95R1O3Ffj?zl#BY@J-HaJ{=(hY}*N9qOIV))u&f-5T;?0Ykpjp~oyyN|3 zFZ1NS(&rgwc3-BVEdmbg0*2Up5%+j^4|Z=qWp!*G@X~Qc(fsskZTV5t2H9~rhTsQp zwmr~qTjWrl+P6DJJ~$Kxk4fI}FqtTsz5B+c_{qaPclPXPMesXbqpuwth^5%@tM-U_ zl%p^HJ}EcG=;3*6%l~rPdtN?xjjyCb7zn~WKN*%q{Oz zbK>GVmm#+uFTpDChs!PrlC1bxddsNG!?V;ZJ<_mHe0o}!At7kfJ`vEC&CtvfZF|QE zf`Cpc56SbDjLe4BadgvB(c& z5?r)I6<1CW+w*nf1=L?2;davG8&xM<@~f0wm~bMYw(xxju#HJx~MV=BR)J5<&8SpW5%U0RP0#u|;FmbQprwvh1` z@eLDOZs~qiz$CpDN``e~>vA9y)22!N=xH&^+j(}kVL4wOHPcx&o$SBf*DPh<5cpGF zYkrD*;5i$YJrp6B2Y&>F+v%22dJ;zj%-sFH-ig|x0eTr2`yv?oR5MivL z$d++FfOZN+C1CTIy4Ohpu%I-f+2?Mfbf9T{uJ>ObGeok=iahZUec$vrF8^d3+&CyaI#i7#F zS2$*}1I`v2vHZ?Mv_Yrq~#8S zn*x6=Rp7g4ZGH-L8=mx&kuk2b2J1O482>!N+t=!tW@oz+_G)^pg>tArZI!}YYvl90 z=y?j0LXQ~MEDHbVVJg@L`eE&<*UaNf)k^-ks!gEx@^Q79U&%>+T4@^|8`NM}3rcqX zRNp)ysUl*kla4g|_dveaV4Dfh#ohYWWUfZsRNGND%8NE0y)LFtsJhWHB9!qY#C;$@ z)V8+9U8$_Qwg49{Ap(l#t8Uqf9=t0rmUN<@l}}8#h!ZlM6XRDk)nZcUEcr%h6^Z)o zhsOBe;=wqm_vxl#SBglO#W$Z~+qE_h245lJpY8xvO|}}NvYp}K5HHJBYj?QtrkKy| z=qzjuOzUM|*Kmb)C^76ZA8u|Wpa7shl5rwHUhnz~7``g93<-ri_k$QnYHs0l0DiL|eJgLX?=XRCXZ9gs zX$JD4hT-Fg&@9IOPw(aBm&F>RezZcxgig7ZbART0zW!$8GZi^16fl?=f4@;)#+oWo z9&E<%mcPO#!#kjQciqp9jj`i__J%^7l`-#ENTpyt5Go8G@zBSjN-(*~)qhoOjU?MN^sleFM4lh1&|G z&_R?llOa}jo4DdrUZna&1`lO$#3`VdN3=ggf9Y(`ZL(vQ+p>H|0}dj6(k`W~GO=+f z$lPOCPIk%wzaBNlOksta|HV$I4h&yDgGkPaNR`(BZf<*oT3c{)Ak%e30Ed;COnb@7 z-}l4jt`T;=Jb})~jD`t04 zQ>hly8O)dTX%w2z7D!Z~&>m{Hu;Q{7f3&30D;ZuqrTTAvfdJExwuiNkBVx`0Yl`!g zO+N`ui9iSmbWxJ|Sx)j^J1knKO$BMRpQgv){jf0G1$3q6muIhC;AZI8QZ+#%eL}c} zdY|s8Xq?i{1gMty+{x-{6;MBsiJt?gDG<268A13wh<%mHhlSR?`RLB(&TROW%tS;1 zbzT(*Pd*scf>fPiv=!P7oJ_p@fd+wPC*d z-z3Kp$r5+$vv!1)nAqu3x5JVX^I^d(#xJqKp56MlE174f9Kg6~n25?xBbt&D0bGBuAW#m>5SLrWJi3Va_Fy?Y%M+#1niTy zZ8C;E^L?eB%Z;-qOK($EP1i{cd(q#;ZpP%-l!Rg?|K}5`%{D@K%Pkyog%4$?1EVgO zBKA;dKC|UXU@0AA=+y116m_-E(aPGDW`-SOX8Z+IHdgJ;8!An3Gaes>ML9AFNJ@uo zR4KG{J^3QCsZwP+iWlRCsRCrBR%aG_U2O{f<_(pCNS`3ffv#7)o+!`)AUD=$ey-{0 zH>619cWq))jR@v*sNNnN_8wblJjlb|i1yv;JDgY&V|Ec8i^dUpp~W=s@?>OF#$PK3 zYx$%iXbWE9`8Vn&9O(Le`0Tla5R#mH(VUV$3(QW&{=iwq(|4Or4p8gyh==epntg9- zO&sEmxyNDydnK1XNdQk64j5a73WW0?-*P;rD(5`QSc05G(>xTw#g! zdWv+Az)>71o4qOSpMhp6EaH8x7(zuDGslrYOJxvO}{f|N?;(AKfjOvC~3!>Zc%)afe#td zTluJ&iA~qpYYO_>p@ne!^r6gdMpaKQrP)%0A&DS7ISAc5`iNrT=+l!o!xsuH{0Pv+ z(uqY0%L%U!BR>xiXB%5MHn`}<-{HzI1QfXPR)S~82t!uHWI0odEx|{=JaM`T)*qt$ zDAVfbkQ;;wPCY_9%>*7Hi)!M9a%F9E*f61pMMR0^*aP;6bmbQ)mHKbV zsJ$-Pg6Y~ zEkV-#&BV9~DDeszR}cG)bT{Q=bKo#RF3xr|S0k>waN${2r%rzwEpwGoeU}nOyt4vu z%vpb9ndgk-ZcL-_G^)y(j%L55St_hix1`XYGIBgMM0ib2czl}hXEE^cORw=ww0_^c zXr-Q<>@E<=zm*bbMnUf^p1V`4PdrF@Eg^NdlV^iXAKwZ3L-MZ- zlFnA7r>pg^Z68P-Rg_!lcJitBx0%A5%Z6$0s6BykRHczl+QW=aEuD0*?wl?jNU-5P zRc@;#pPri8{`+!CahAMt>`N=9LT%In%u3HUu`g{p-wFqHcx+#@shN#Mb(g!}JO{Zd z5o0@eY1zL-1o+C-=5X4uQ0L*|#1>Jay+`sqx|2EzX$5f@UO-)2zv*us`deAs82b^H_M$o zuj4%Oi`SN+N`Ek~W;tU(ZZWOwmo8tOm4NE$n@d#R1-o*pQ=n}>32ub&MBSR(Ii6f* zzPxK~slW}g8I2cA7_zj5vt|d8`@{LtqS4|#yiTm|vc_B2D8*PpdV^GTfH3`0Kc2}HrnWC@pYLa}f z%b6+7otE_-(ns(Z&A_JYzoaO?*Y()1sTD7>^B6c2ova3WQFoAeiMjzbT;@Nt>Yj+@ zu017WJkh`UIgnagJ*vKnOA=lx?}_Mu@E~ZXtY;!#I>?Z8C>~#P5xR<5*aXOdthLQQ zX%=TxE#*;@f|+8BUy*iSr*DlV#!whDyZ0%*q#PEO$nWCM3zb8~LMkS&8cVd4+j#ng zm9mcw``J^zQylw#y*_`_i?Irrjvy;ma+|-+oV$if0aC^+hLn8{Hel z7}*kp_bFtj3OanuPy2?tbgQ|hz`UM+q@Bq`fzT*Wk1`l$7-aBVt2D=!!kj-G&dAqT z&dF$;;INE74E#KH2CB1jgC~~2**~;I%S)gciK3j8iZZqJX_}g}bwj)2idh zp|Pg+uce3Wi(=UZq+lIZbMQDnZ5MX4f0WteSd1Kl2#krPC?`!H%Iknj$=Lq|{}db9 z;SEcDsgb?1($#ZqgZ5-_nIiOTt>ZwwRDD#u2-;JwwVdmH&233HJwoITQfnz?va&|p z_||Wb?-LifBMt@`&&c=>uRCYe8`Lqfe3B~6*Q741ySH|{W{&22S& z!v02>nvpBEiK_2lPqIg!w%#1c3t>9q0$PTt*zd03cfx@yu4$M_5uMaJo9=0tYS`Jd11{6FXrV5PH>2qys%EETDc0%mlVpo!W`ba zt3@GzXsOd4r!d5or;M;NF1Z+7c)(EGc~mDhD7 z0>A8XP{|M1 z#w`EjYAJv}!xikHd{$9$*-1jC=c{ z4u4>B!-Kv)a(71-C`LBD=&-cFFIGBeHxbgj06w_dJgk*F;`Y9)qHr}IGVv!QG_cm7CA zXsVf-Zy@A*;JYgj-hq?w+dHtkj_C{*q&%X>q*1)d*XU*4k@?>vk%okYNd?K*5mH@N zmntzw=xUuJ3olY=PF_GR3A7iY?#txKi*T4uKKiC`ef^du0+a&zVh8 ztI`3cYozclVbkt;9^(9pvS!I(?Sx+kQOg>cgf6?+dA(r4pbAzv)`ETSS>VR|k2j0* z=$mm}3odhfUlWIVr7_?hs+Pxk&MFB(T7dVvIf+b{VkrA)$>l<@|)=v`1bbMQmc6hX0R?c^YD;1*qAX5H74jM;S zM>*vDu*Yff@j$%t12}`^!Sv!zhyyBPak`&Spjm$g4zAQf@ro? zqb+*|H+Is0JyG5bJ9F#GiBV4Wy`4X}D+%?Q^1Xl zq&WVG)mfpV^tUyNy6>}V1?Ir~PHelwTq9*cpLFkFCp$iv`@h3tb+Lk$&Nr_+ZW_^B?!C*dKSE2 z-Es5_aD9NK7eG}HxC7h(m2MMdVpn>$(?s8#p=|AJ4ple-r}+BkP3&r~Ml+>Vl1CDb z+gM;#sXx5c@FEy-M)>cB?>Qy)`Bb^EzzWvc-o3ott#v#$W@ELc{c82uAkBl?G|1$1 zGYhdJh|#~TkkjkxgEG>7c+MEy`n$GyQHOUl$`k1>9ni*{WuYSo!8Y-5&|q>pr0GI- znGEj9j46iCVQ0vJlCoje_MqB+v3?LHAlLgkVXm&Rnrzj^RHW}@$Xy(1XfUhN^*^86 zpXI3v#n>nPD1N@mnu_qaLX~Pu;j+;bf^ipa$hWk^%E@H7`4w{bW-3>U9J0EmP2_*n z0yYKS*QYJ4jM1^?_ zu*e&fwHrce^N*Kbuw_aYUkJ~ioSi3uq`qy01i)jSn@rqE$vT}iv2zVWz~N&@i|zFCohD#T|&bR!mUn?SEvwDDMUS%d1aD>twQG0^^-yr#4knDl|TC=?G zh7u?5Wn1UK8$vsS1*E#lM8QG>8d7W_~Qr8XKT=T~R++leAW zUNX3+bvaEmA98oXSWKpqnSd}Ky~FbELYIl{w8F7}2SDoO@YoI>hbRHM8JY3g4)6Hi zAaEs2IG!{89JJFXE`u9I8`i1TbeCO0mf-`Sr9v6HFU9|q%v62Wj6gpdUL`}AhUuXE zuwB5daVz(oh`*GqFu@O)F0>$=S9!v}g(>#LKi(?lE^n}Br5^dch&Qlf>S{gS(n4wz z-jGZ3iQiz|hOn!b&E4^cdaEVm{C-0{(|#4l87o{)=R0I4fdBI(hZ=cR!2!+SxllA> zp=WKNeJyDv6%|{{Y(pn=sMIAaXMYTVy(w+wcgl%VC9xxqTi~f5I854pX^Z~Yy7FQ7c!BED{vL0epkLMQW2{ z)2M-?sGSNj3mbXxbK{Ulik2ao6#MBtx`OgQOhBy$Y7n# z5ChYnFiG-4bOOGB5~Vh0bx#P6=DC&#)J4{WW~BXInCB2VmpA{EJ<_QDD;zoKVsG}| z%OK_BDW`2`jyO+LnckfSG_vEF%v8?yNU8kCilPj^*q8BGIa*h;?1{UP9>xy4bY1=v zRhSVe%TMKNlPHN00g!7$e6|#md!tx>Be}J;&=_(PE(Gmh;IWExTvQZkaH;+TI2j)F z88^OOTiTR7$uM2Z{XA-!5S>DPe1p~64=AvuN3DV)8>T0>*Q4#6e_jlTzh;GuTrTj4r#hlX4Wx%G+ zhey~v+xImw)7InPm5n_N%|d0{ zAy!vG=6JI&K+}Bc!~~GqI~C+XJq?{Q>tq+rUyfTOp3@4VCZ`ktgRb}W$6rooljbbJ zn(h&Nuug#7{1VDSTvO?S?z0EOr0a3V$%2*5!nbi~QUy1=>6t|lyT?+!eKM*wIQnWz1tvfakjVTXy z0v_frsTNo_yz^0~!sUm(dDDe2DJ%SY7nl*x&27 zV!*dcGV?cbA2nKV%R3`Ei=$F-7BppZF^gZ@YdlT>Jk&xO$gH7IPd{PT>!;veiR0rw zY#n0DTSI)#Oqb0o;Kep{3b|vyjVYi)?)0nspG5%U7NKO<`X6aeXIsU8gtk0*gCAt> zUwQb;EBiv@kU%t~a;|YJ-U@mS;%|hPV@#ict5MJFJC;VoTAZ1?kjV=hpsp{2zO@Dd z3taye)s+wu=m`DirE5C_QuOKRSWj%>eZ`LL^$;^nNvR}1YPfZluu$eax!|ZhR435YY*JZ=934GsxhVs-ve&e(Gs7eF z_-MdeZsGqzDKXAu#EIUgQY+}|_iS_>XT`5_DPiVK&+C_im1E?$S4Yt=-|i_NH0P&8 zEFKHHo;0)nG5!UhZ1ff|V{-Fd0TNhPAFyGNL0l;Kg@jml@}Sw3{*9rn|G~_VC*AXS zJ&%&HsL*0!T7DPj!TYU)KS40s-o3>1NX}f}io=^}IUC2jFJ!$d-#C`^vb1NEv}l+X zW!P*hCRg7E+~p!mgUE$A#4zt@oo!NQ-JNCaYw`LslQe~GG`>oFm{jD1CXed^toW$I z-lDK=73}i8;tq6NelT5{VP~?}wG@cg zG9Nt|11L4?FPHIPuV+2C+<)UG)9`VfwM#J%Witht4cJA8<)snpk zzk^>DwuH1)z(ab4XfH*I*PK|=Ue1WMh#LM?LR2i5yGoo_NU-qVm`VTTqzN4QtsbbU zM*U=*$N4FAqJFCmd%aB3Pi5?nzw)Qh@9(b1eGQ6hV_L8gYK@WG?B%P2KcmKDo&z23#*b zsF8KB9d_Cy>_ElOzer;GC}gK$hMrZ1>85*oe(o0xCvz1Oa9`%0a~zo-LWxUK;{wiS zvmUwOZ8H*;r`CNE8CZAC8Cv?!(~oA`ac3!OHgA+StkNJVp+{OWE(1TqHpOZ|6C!@Jrr4{jQ zs-`|Yx3T$?@(e3)=womESDtv%9yNFQsYg;(ozB^VyRC+GcI&S<;`y=A_w7Cn-Kdk_ zbgG_8asa`ihomL3#rk@NF+ktlEe`{e*)PK4xd zRSVxR++UHxrlendtnzdQeca@Wx8-AR+I8Hq@>W$flU>_;k{O@lmY1z~CYilha=|o}*KUla5wdPvnGD3YfQA`l;mb>q6S%3oezy;`E-jZgz zbF97&SSFg4>3^{%Wzx^1r0*ufL#VlNAzaq##*(ctEEhT*DwN+Q{9 zh@E#~3T$$_EBt37_$$_XH?=|3EjX(*Wy(DMgRVY=m3er?6yTl(cn&5pQFHVz??qX`yJv-XAK0!Dqvjy9l4}s6$0RKnZl1tT7rGX z!Ui4txg{7@q6S!Vl5oC21BPv{r;V@q7bo(b_#-z=L7W+>bN$au~GW55_|8&L*@atQ5 zy|3Cg1Vy)yV(MAcsGX}eI$WFonjCcqF36EqCS+`hFiWgY&E=p7Ybt1QCtuw(Hnl+y zsOr9cbR0FMq;=b0-YZ5**nOa$G*3z0wi_0$HwU=FsWP&?5c1QJuVNGt=rClCyT;j8!t4WpWMajL$}NI9SD<=GNJ^+ww5&U_(C`o^0+karO0BQ#jQ&OV)QqHiazdj&L6G*IMh87GC|izzjlkmr7e%4 zEzIayixu<_B*UU){^n}?`@t&5;O~tqF_X(&<%exbBnk~-@V9dX}@}~cb78h=gj*hJyN_i z!KrT~;z@FN$#=eN@Z$Xs_~QJA!E$l2^(D+*zBC^(kk|W}8L2=_z@u8CmX9`jYVt2cN6q2&Q45 zro8oIszdR20)@Zm!w4c}Wqn8+3drMNxyTJ^YQe6ov~jy&*mx@bHtNnSnwTm@V&}fB zGoS$9$b&dEb?%(WL)N#yVV*tIMfc}2KhVEoiIk>sHO;K+v&^LzWUqc?FfRnWxEM)q zb88u6aQCjT7e7=woK%uFSEQNc0wyBhmb(8A-d0^P2KbD8tQ=2o7b%EURHeIbK0WF- zIyufCH$bdrHk*>FFJIHU0fiIAwz+)q5Sr~4nuB{osN0(L->JMk4JHqT+QYxwNC0gp zOpe&h=>}yok9uQ7jZ+$W-e6ooqOeV)22+oO>SBZfW?SluW!x&@`eJ2dhr#0BV0xnM z;m-qb=e6ptNi1Tv%8*s#$qNDwA4txV))NxOxu!Nexz?YWe=1=^XIsL&|rEK}wK^DgK41k1Fdu;dBQ zUZbWp;PiQoRV=Pwxu8xe3Z*}5{Rk!&o<%T&;O!A{3duuvJH`b`*A*tsSkRPQNQY)C zXh@M7uF=a6Lo|oy_&cIw&Bhc7H8PP?)MZ$DwfH*BkL|+#HplhET9vP1U))jPLpXJS zm=~GK45Q0M1fuN6O`P`NZ^4+?al66KF=rB*B*%o||5!9e8OrTBOVvx4nAd5ZRO5lK zOoz(%;}S~TOx7hRH9s~1Wmo^GlG(Qvm~i)x2!gmOHHeQ_^YR*YfTm(MS#_ZH`Z1m` z1V57fTej)HVT9oM(d%j;GU>UkARt@fAbYTqS(pTOlH@gKviq``pVQ;um3;gQ5A}gAu{sfHE$E3k(ecPxP6t?U>Fg?-@ zB54~6?nqoyO?%-<8*_rZ1>QYOyHV*6fwGe2g|VGmgvIadcdpQ!Fi}HfsT22sP5$_< z2Yz6`+4Ol<-_t$fEcuVyD5TsK$PuD+E{^mNqE1i^<9k~05XJWZO`(wj91AdKNe|WZ z^CpLfsv;fjZP#p?WBjykGn;Vkb zk(3kyM?*-b^#>dTXmI06XHn#Q{Bjnm(qSco3mdv_ZfI>OSM<~Yp0~0JtyP<)HqCO- z?;6dEhZhBfEH-P{`x%$KwkB7QQ+p|%$O5F}VJ2o91RCk2j0t}=Rm z&YXqA_;=c0S4?BjwqI3JCUg3@m%y+9&dqc5s2U;iun6l8waNUi?cwgK07i}bpc?Yf zcnk1R06?pJsWEVW>t8#iX3l2SdYnf7jO-+IPl+B)E0d?BgY`Y>I^FG}LPYTengsjK zs`&GnA?m7%b)vW6VoKm!|Jgwaui3><6W8Lv1A|$K$L<>Rv1234ey+v@Z#mrgb#q}c zW5irKtAEAG8~9|`gA`L5_VZf=dA9+XbRM>xD0Q9)R8MtioCwjk#%zyJRuOU8IETj7 z4<)mvC!N8#!<7TG(!bS_)Xyxa5-YVwn(kj50DS;SB4Ks%8$GXD42_R9d|+Nye9?Oe z4y{lAWN|IEG#^OGue8*Mc7z#>N}Bc+Zzk0ZKb&%35xF)099{9GSc)+hoxR^WNVr(6 z70DY17Tgum>F@{2!_5+){ZX1`nR((x&xpmZ>gxlsmh{c6hk_KFSKN?Eza2z+az{eX zL#^mEKL{-yDsaKi;=rcts?cukvX&2$`*}!+8=pRe#v$})gpuD-ttiKs<~}jyGiLju zW*O{h_msmW`X>C6={iq+cF2mQ0Me1xfOakn_+`yi*4Mi!mHf~bLJr!|I&jU1b}&Wy z-)CoS{Q&VZBsRpuZq!1b3rE67bj0wqJMfQ_IaDc~uZ($yHtkZ=%2)4BzikeIdReA* z<=itN1+tfc$GhC)3)mgY9wrZRd%8FTMlo0_1ETk4ZuX*A9c|GB-;K&vij9YJZ|&&* zdp#&W+PmKLK&xpDikZknHYYxd@VUF1r$VtsyGVn;;bDwQ9;Xe|nV7xsDim#ky9&DV=^KK%o~9vnJv*~wt@AM}h6*%gbIDxf0Ia#|6P)n7$W ze-!Pvu!BC!a33VkHOC%03{43W)w3>!#TbP4XFg>sl8O}p*23Ngqln;!2|b*sg6MQF2&+(wR#{_Wi(@Wv|A4!SSHc7w@{G-m^cdz-@i z)APv5g}DAFl%JzfC{tk2r+glhrIId_=ff6v|2ownFRB}Yg}1ENg_Mw&X#k?j9)G8* zG}1TeRCWBrPHV|na8;J8-z(>WhCuEI{4ddHqX78(>Q0}?z$tmSayEL*`>Z8 zIr{is+#AepqmnUYCH%LMb7Q%g6TPT}W)mn~(Vm@QLVfRIDY+ zBHF`N{}guY;P`Erj8sqk)v&Uv$t@7a@)+=T_j;G-A8UTtYAEwFchyZ^9G1nT=u#pD zWvW-BO^!Cm!GP=KKEK@F_8#2cu%nmUjY5XLXV2$iR9!vNV$7KQyh@TfY6x-T-ah4yLk`zZ6Me!9=U_ z{Soe=L>Y1BMf;e45LDTtT-w^PeOR&HDGGCw%91)pl=aJ?L9Oy>c`P8N=VoPa)mUa% zsaN)EKA_bL#-x^qH4SP_Hiz)-AQzHmEC;7}wV|Fa)YU$4JkBjjY&n@&k1TG2z^lsE zj@b%JV%k+84Z4{B{Btnp$f{8mQ78&OINRrPLh_$^FYV90k7qxSAb%2eVH!?x?%#J- z3qQ~RXO=-k_Jf=Rz!?g^uj*&Zz_pwWhb5@enf`=0tcl!-;W8oYsnHHYvOJo97BK#G z_Y((LAt*{?(2>mr&iV<5zRMq5|B`y-3pZ>e9&3ol5B!}0!d9Df10a$j%+y*pw#M1! z?%>idEi=EWrCHDJ`97hd3K+q*Zk(jlH=rCx$ z%GSKYr?-zd6~(h`Nus^KV3F z6-}2kIS7f{a?fW>_sge&0%Zh&jVJk4V8Ft=^s+oJsPEMkE4tL+@*UnaYQ`y`l;2U< zscA^yAdT8N3(MQtLZw+ZKLQb(M*3luCV<4^{*rO&MWvDcx*b4G0Prg~Fo-*(bcn#; z)}$s0n)Gy4jsN~0zB;W5Fd$eU$OQ^0bi#V&9T+*DJx;5OB=JcT#Kl}ma7Sn70A0|G>|7GH{ zbFlp{g8%R$<%|{b`N3$`*Gn`8^n9Up_kxV5? zBC$ykUAqvKHl&jOoA9PIp|wq{YHaqIbNFiQ_IsP#v(_`8<++=C_2ZlSdWxw`q{cKC z6t~Ey1uEh|%C!LD;NnzVFmU3?3aj@ZA)19XdDK*)6Bx8cj$Ev)RMUx%5`wUi6%`~7 zD2@XIHi-`ovcVb$Wk46UR5iec2-caF1GhK`K#owNJiz&HBu&{Iy%qv~WTBjA8fH)i z0*tjDfjR_vHZ*;poFW_!j(n0Ns&yFnbva)_q#rsIfJz4Z`a#a49~04l0HmClK>#?o zf(9&r0RZY8v^~jod%T~G9o=2M5e!dS=G2)3;tiip%_QoJjkbStFvAEq08gu*&7Dc~ zSr*VRhF=-lq13=l5qDY<<<>;FA^+N?<$oG`3)o1aAW76Tw#UrO%*@Qp%-m+CHZwCb zv&T60n3dt!gx=W>sjEt8-j4b92A|-@1dMI4f(Brrs z!VKQ6Iv|3r7s9U#qJ$`+9ETi8gamyfCxAFasz;GGkaZ~eGt46ZWH$`#Z#Ha0@9OZ4 zG0(CB8&-}i5f4ExG7Ok80ToPx_)&~)b*dIpSn(HW7&{pHq1jX$I3LnSr5sZ#C+_*l z*%@?wB~nZf6FNdao-)n&F=${T)>D9M6L%1i(a^E8ID1ZaX6qO2eQY~<(B))0I<`3a zhnI<3#!U1}A*Y}NFLa9HC_M9(z(iYXqR|>&Zc;O5U?~ee9`_Nl+zVc>`TE&Ubb5`2Dh5gdas?)2ti&X&=A*$&l0g>qyG%^n8401c zpuxikZ4l&lx+_^c4kQ>=I--R5Kg${7tc*@B%mj+xzcWf~4l45s8CU|dNIc@@QV{1#4_@_4Yx z9Pa$WMX(BHD_=ull^j%Pke+-(>0CBozqdX_2zil^Jp*>+w@!_X3tt_)vL2fQgOPY3 zSV8UheFMf1RR&5UGo=1JJ_Jail=<;c<)|YI^$tKsg@WJ-;QU}hs{M0P0^bY*VS&un zL2`-%27$9|Cuh0MWLE?#)N7AENAv-51`Yu|j0Ru0yFCE!3Ic}PANB|($sf?WEArP} zY<7m%4P76yah$?$`%SRr;36x=IZP1olWM zUQG;RTr;;@kC@65($`zgg$Cn0TV(CU`x1=vG9_e+aAVNlUl}>_KO%~A6Ad2{wOVIo z+3nfSWv>ro1h3_1ffN2_1PQoJu}Vb>1r&3>+Pfqf?h*AFoeXGF3u! z`j5U5=S91{pKT)=-x9|Ih&Kjhgo(>CxN`V@$btO)nY!QAb(+7O#=neSoLrj2%dWjH z%OW=)3t5!I_W)ye-UA))+_>%&tCuBvcY9@N2;)8QGdjvS&6kt-CL;$28PlSDUAdi1 z0ORX>vu@|?v(79ir(w=@wl?!h*0$rrM{ph(A1;x4gPmgC4RjR#T^a=AM{# zlgbeDD{39-rX-Vx&BPOmr>mr4bs!&LF&j^TI->y{s-X*`-N01fBcZ{hYaDh0aw)GX zc*;hE;626Woys3Qivp?6R=ycc+q$az^QSsN9E`)SsQpHh1hHq8Svp%;JS zUD2YkJ6{bgCT2@7S-@;reM@K}omUrF+UwwXT3y!*9;@~8X&1Y87`~A5x z#}0a@S~1XOtCQf`>Q9788NcMudiX6_@z<;w$aHej$!|DAQ4UKAJ{SAkf9=ni)LVn z;CP3dD&;-EFjCMN3e9?%_HJDVL2de@X$!gUtvmC#Nx8~aY=XoBzUi3A{?tH{dT96~ zBv=DqY}@`ADAwPz6e$$Q+!x$skuO%f>qCb`?(rvc6rIonQSuDXsFNCf%surM)K68VN2}8 zgKaK>{@J(pf4LxTV>csuK^ht45iD2eGprmWpfr7CoI~;M*NRIl93c zPbg4tW7s^ z&PF_n>Y3O4+}iP~Xwt0$nv)Q5tC-LSD{1sE`!mfEyr}cqC+S30DiA~Y2DxGl3TZE0 z3fw;%c|3o&slN-Cj?vP?W_!w_nYo$-7Zdy+L$X`l?^?%?GXf~795SG#c@)`o;D$6G zyxSKVLY#h0Ug|sA<(dzN=jI9;iFMm?Zt0SVPg==znbGJD0fOZV>4OLpw&;JoHJ0Er zIBbldy2>$osV~D7}Cs0q#r7FaU3Zzcs1XP zj{fVT)^>(6^ia5MeAdot5x_r`;KfR{KhSgJdjn}%tE|>B{FuSCvF01Mi!2Qdx+jHN zdP8D%LVN_ek&bM;=HF0zJ+IdbinX2Hv*g@PHw-pEQ++N>MP7_sH5z2S$KE#A+TiYJ zI!>c{MeUJbuGXiIz*rDaz;%iT6UN$B>KyQ!CH}K)Aj|jrV{ix4fy_Q-Tid~{_O|7m zJQt%bHd6#7RK9(NlFRC(O_Lzg=3|onuFte$np)4iSE!lH3KXJmR{d3Rv!Gi={(X3ws-6Z>HNS}h zsM}4VO)>~z&ujvUzXSzR9P9f_p*D}{sift)7s4%(j3_GMu%`Yh2kP70&NNLd04i|( zr;)43>9!0RcWo)<)_6q^j2keQ(c&1?H6wfKJa^1qgI_32Nt?QV6_XE&H3hhX_XQ%q ze(w4QWX89m-fIz=qm zRk)>PD0{71t5l_e9A^8EJuB9F|)J$w|OB8 zJ16u1I4@MQ(n4LqVbH^Xhp`3~7eiRA&l1x5p=(7XB#a`8kp`<4W(H=Ol$jt0E!+1) zT)aM@!VMfVB#3HBCmNa|pjo5}O%DkfEW&w?VWqu*-q|8Z&k)e$OLaJ7JwQSM8@?a zNg9L#6pRZJ`n8Ww0Q#^7$@z8KwTQ{EM#*SgQ!D5N%=pBl*Tfm34LHeZu=pLHtsH5*!LNDr9 zPewN;5;kLsG!UPL6L#a^NJhm#nZ%qWfxawcEE_!klxK86djUJ8r! zT?s#2ctq~^;zt&&Su6urpdw+sbbP`F2R5kocr1QcFJSeWRak>>6Hf-_wE`YOKLQdzRx+&qCMsQd&dZG3k<^6(C(gCzE0&Z$jC zax5;!QYZll#hHObk&`AKnY?*~uy+p8qMujr#Dq@YP|dyA_-1I`0#B!X^dhBqEyd*Y zwjDx|EK{Yta(D}|A&n^o>b}T37XscSt{ebRkS3?vY+;-Qub!+R0|V>eFATS%ew3yRKSdZEoPG^!h#4$CaIDIXj~G>|ttxZv#3L0Os8x$QE}Xo6d~s zCE=fNaGK@iy48K9KyjbF{DekddL3+0eFtLiRbczW$@Zy?_4%;;@FN+m#iSy%u!HWwEed>~S8ZmtJPZr)9XWkG$wLsOZ$LO^m}- zY6JJ_X5$g3HW0{mx{Eq9CCC_%mD!@#j)Hik-5icf&5)Cg{%q2BmxVw7o(~krUFjV1 zu78u-T!LM&fbdZt+;5r|TyB!MNtUP!c{4*_G2?PlU9IKzT0{3n*|%6LPkn?5iw;-X z-o1SvmJd9hVT3U!^f`N;1OQWPI%7vlN2+FIEi5n(weOCP%^wh`Y&B=z$uNpi>-_C` z*uGX`7?0F2!~I^1-yeVf-u^hmyia=8Xyfp#qk3K+v1@(RzlSoYx~gSkRG4BZKBMRF zt-~|)mx5b;Tny{rQIC_fALIN-w|5>t?YI4;J$5t2YG=CgOEphVK-Rb1g=~lW>#AxX>`=eYVUz z(@ypIpU=KGIfiUhH}ttq_tVR~fWQCl5QNwz`u*{()$e(gZ0~(+-!61e=^xS*m!X_9 zkJq-(V$MKe+Uk}nm8h$!#3y$H)J0f)2HU?$k~SChaThG1?%%u)O}Wba82{T{k1>9G^CJhXchl`Hc4SsDU>=9)X>?cCzv#j0%|^P@GyBv-1fYEME@K;G z?M~VSKz9L-k-qEW??_2i0(1HJTaqG1RhM|FVHvbazh^ofpeeV!h2SS!6gH&^Si@cB=1|K)00Td6{_=)&##<`_6 zhBKKAY>WNsc!sNT8wk>k!;CLssMWm`&=>699(Q#(K{;5+2XA7C1m-o9bK4!3WFKbw zhhNjP-$iUYmzcXOf^8=$-Ol<=4P-2CdkTK=bQl?@sRIMfT$;TJsBgetPq;yA zy-^MB=^P#9C>M99#!Nf{J)&qN&n^>`t?u>^;is#!A+NLwbA;zMtL{NiAC9N{&fB(=uuR?F)t>6vw z&bh=uu;+GR+v0K?c-*n}!?gK-7BmvnpJ0HQ_n9({-!p@>JRT zwywMeuhD)YAR5F;Gq{&Yz_29i+ukSsQ(j~C(l@&x)c7|yX>QRMT{bP4=|4Kqw!ri7 z8pq#pm9~X5d;O?q=FNFm&SCf35^ue_Z+>_k8f=yAkS2E!Rt?8xXIO~2)6(W3CKo@IWv-`LLA0f^=;Uxkt_ESX2-sUeiJ}ng*{8p$Cn`@w1FVSd1^8xb5dR0_9=_C5hhAp)J}A zGqGtBpw&t(uLvNCPAhh+kxC^nh$f2K3vv^7@&*QJ?EdlZPG-$)>v`sE#J6J=F}YP(cFf!;{7-lVAz%uM z42~RHt+er9oa8pWW|VCFe(<>r71^>m9Xz8D7_oaYJ|x*PVp4<+DKN4DG`Vuf5}Z+E zKBdvYMgWn?6J4m<(X?nNKq5G>WXt$x>KHn*0g)UUEhaeD@edL-mTyPbaESi8Td?2G z2Nv%ILLB-eY0(ERr6$Dro8U-6YEpAt>&=85njvsL0bwdjXqB9tAokR7rqBoX3-j|H zIHXfIQZfUqCzCG+)LiiMQZlf!*+D#(6vI*#NV#$_7xcY(2oZg$2?fO2XbMj}j}bB{ zAs3T|y-3J#x~eO<2$s7jaKIn16qpivp~+#)n1-c-$r|DLmDnpWi69Ck zqD;J{wmK?$);hxpM2d3B&sZAj|NNs2LzeKGliYaNY)&Gx%rQUNibASz!Z({+xX9cM zS*1W8k_e3kINQU`6MRo00zYV^g!Ra>Igg5t;v34mff9RZa~bU1SR{WrUOD zVwO5{V>02#)yt|ux;QC4CSHXi6!5yCv9hJ0Y1 zWS>Gd!WfReJePMHvEYO&A)!jOimXr;Wb)@ELqx`DH~~IXH2#ga%VFYA=DaT=3YYo} zr6ii1SrCU3t(YPvRLKCey~}f0mJq2Inhg6iq@8={Bw^}aBeRBptP-vZX4p?3P{T-7 z8GN;dE}mYf{cXGmk|m5{KBdq+G70Zn*H_kd zdEf-pl79+5ib$D-BPA>dC&;BZRn8vl$0vBhn;DHaBU+;+a{Tqm1sgc@LSfRv18pUo zPP5U(9Qx4e-Zf)7ocqt6&G$J!FQ11uVfl52d@Npyiw+G+E>obrr$XYnJqrbkqu*1R zo{3`TM8jM=XOE`shW}~g*~AV9oo*8UvIHGZ3u#=rmI_&0o~rZw*r&onoW6_yO`D2Z zTlbwy0T+;yZAa`entcm%d+lG_D)sM@2G8T2KmLa31i0d-7xQ)Tj@3BcpUz7lN0-sc zHuv>B%E^+V^R?(t$3@{-)>V>|=h&Q$W{pozYqT@Ni#1Pn^jp9il}pNHR+*KlJm0lj zAnO@M;Q6&o8Sk9}1a&wUuh#!*8RuUZk1eGto=>`cnkxNT;qeY1xC`o^ z<5rG+yyvZ-HI0Atn+|M_^z$cU|3Gu_uXw1p43S)Ex6#z)s%)+`!2B3Z9kAoU+v|45 z=bx9!PD!_$SvCK4r`FPZwP{cT#A@ZUe(3Jt&!^K{=O{HY?=Mb|?@dF8lA+gA^u0`l zzjFh#lm0eiE{)%8bhxMrL1pb|8(4@|l*4P4@tw0j8kVvin{)WXE@{tHw2fBe$?|cO zUQ@aP*~5eNQvC1WwoW!w)wDO{aG%z7C|9{VQx!jcs(uS#)5Xq5xhuEQRFZ`aJL9#v z&kdO-8E32Ib|>H5v|hESDX0a{LyY}tC%M`lH8}6Uz#EnGRL!Mjpxi_JJXsmY*e%#T z#?4r9q4#%p|B@pQDuv=Q@fP>+#mV$DPJDPH$25~%lY!md*){H14iz!ColRVz##nhZ ztq&cPo7r8n%Il)|zJ{*+l(} z#pTxIUM_~HWbW0f&ax*>Uqk&MKZ9jK>e7CPyhBITM6eG_G5s$@%nb$>er!)0qlf%AlY&_2A#&X=o+B}-^d}Dyi7w1TTgr;$!?o3=nt(Bo-PX5;r-wdDPou|C=0{<5mbi+p}Lotm>qP#oc-$p9kgt_&_qVw12VYi*UfO;Bg;EaibYNQP%ZZ z8CDC-A42yvU(X)4a6Alhs#{wza_Q8xtHlvDSr4b+^Q0Q3$x`X}b#(9vq2O$#NAOp+Rz*6- zB=o<$vWGSOu7?;$cMU+S^G9V(Sadinn@bBHE-;n4t|V0TO;(+yLX8cnIFH+`H3%K+ zc^(;^Vn@&a3^k3%A6qm0TBYv`rk~qX?9!o=p)+-edto^AEU{Uji63fG@98H^dv!v& z`Wd~_lLzodIUMl_$7ocomyFO^?zv9Tb?gN?Yj-@R!{zp(7C`tBpty4G}OCzgRh zpV2!ncAII4p?LMoaN+zPln6qx#{Z4In3?`7{U_|^YU$uiMa`&Y>pNV(zmqdo185Netz0dMEIl0o&dvaHB1dCW8)FLqHKUTVgPEHtz?sU?%=|ly zo|%D-iGi7eno$KFu#I+bC+-z-4jP32eRVq|!mR2rA->?6i z4;_&Pz}e;d)I_Wd%xui;+$QTfH9H# z|92b*0}BH)^?wLn0QP1MCe|?j6}qZ@{~tt*iYC^ou68ht3PfBi{~?!gc5x-*;P^lM zDG?hR3&;PIG@a7bby??X@O!S?F?Ci5CA#XZtgLa);Tn@;P<5hM84o5|;NWbiNIW6i zGVC$rB#KO;*X>@+s~IGMX2abie1nup5?4PFndnEG59`NR%j!p8eiI4nx6vFVkg&{2IELk3eN{Fl<8`n$+3v!OA;fpVxwu;@e5vO2nl zb#PTIFHZb8%pI2=d|t6lh$9YN4FlW>d>$*PswLbBI0kb8>@=o?@y`hBLbb!CIQ3Q$ zgp-n*#Zb3a2}2>&OB!7v)62dY3A#XWef13JZiQVKl5k15MHfginQN|ShAC4jF?}Ox z2O8~GtrrmfJ{l=i&=wM`>SH@(J&?F=XkXnjSxuH!0!~t)f~jRo^XLN%o511F}oH)9qgF)Hq8EsD*A*XG-b1r z#ka&HE_B*KjIAF4#dqZBJIjR*gQUVtB#5uC-S(p$6eiAVx?U6EqwcoEI$syL;M`o< zBmC-pi1PpnRKngK@3d|qdtbIzjcis!i?xt$EjK>d@>E+eDH3?76LJKPT-NQ$sw2h0 z;1+dX?c7r5ky>Ti0{QIw4q<(QmK!&C?8zG$y05C~W)LqTMlK)f^H{FWsyrABBKS8z za_hby9JJj+a}E7ltumz`yL5T6hsX zTipdcP?Y+duY$yW|30+y*zLIOhpKsbZOv+jGwx& zql?W$-U%OFpJv?o-s9-=nu`;;?AwzY9e`>>8NXa_oYYU}2P}-^OKR#8oW*pMX#7vB7gPP!8$ zxtm87^n25*7eipKZ2%lb-L6_bxS^Js%LwVpc)VkjQ1lxYTw#=qCn28NNg>yc%hZmw zBQDTT?OmuErEo8nAZ5Md(WvJ47i7kh8nkVcn`s^j^jFIG)Q7ydtRWy;+YCyRWj8BH^Vk0Ng%X(t#i9Pp}B0s8=aX5 z;MQ+<18Qy%5RyV!DH;x`P+-=rZ0UkoTcQRn1x_{e%($>xlJ9v(Wqzv`Q7CVv z52Y99RBmD^X1q z_jE<*n_UyG;gNKw>-|Y%znp{npfbw_UcG=*vgkRL$FpBLd^_pUESNQ3Vq6nR?JajYNgxaYJn zyXJzPa`1&X3QNkqZlUjD#Slxy(ZYO;u6midOVN0l{V}hmIn{Oz(>L3<=jHOxq=sfd zQ?Hm&Jy9n|S~gQRIsxU#Znm_$Y#Ankn}L9rNvcQ|l%z z>vcglVHm-5@^e1TfUZgyGF6p{L=1)TtC^pb zs8^$OpkIZ~8bpuW#7X1&jp=-F?(T~j5p-A1-9g}-a(2!jO4c&3NiGRSF39PldYQx< zkwWV@OKcztlmQj8-5Pj05KICNfH zx3p8E!Vrqxt00|&lu=&ch*@0G<{KfcXMUz8Sv5Fa&fEmN9-PAQK<-~riRR#NWYk@k zvhNkDIib>&JXof1c>joO)R7UNsAZ4o|ArU)4*fIEAys{1o$=1>RMcrk8CwqS3XdIw z8CQ+rn52M^HI6To{Va(19h7K<97fiZS;kqlN~Iz=wN)zbqmr$0+R{v-rLrwKVP0r? zo=b@n2Yz7nH>bkotua&O-d)>tj12Ac1aC@02%S~_XcEs^P|7RHXrk)Ctu0kOg%&){ zt_D%!s+?+=jaG?yKPSW6x5gvhn+^Md?TY3PcF7+%xrK5?Hpp%fTrAA>zxnbor2;KX z(EhQUZ(EZ~c7oNLJHP2OoLyc|e7c%m{wOThB{Gn!3;2)zu4E~`@dVod zNEoUFW)A%`go%pgeKRyrqC+1=Ts!M&D+pk&5F%EKu>` zn@~_Eylu?4g~gN2B_Wn9d%f{t42cy$bmPf(Ayv}NLElJSec#md$`8kEk`asLZFXOG z3mX)EpUcj>sgkW^@GOp7J% zN*6(;xdyJ_;Gke(9j$S+oMf~OF9BV8x9Ki4LRHXQ$s?$D*S#sO_YX$RA`!(8oY@|22j!Hcf6l00+iN{dbX^~uEbPFdKF(bOEpAI{D; zURHg7eB{dZvXsawe_9tEnWP%rL(%Y$=H@D=BcCVl4>?A87%*5ErNxz;jphm#EJ=!+`7Q7 zu_@-GCJ4@SeI2<$waGzS zwv5~e1y{<2b_~Ix*MX81KX7fmHwc@<+;j8RywBUy+xHdN)X zrQJ!~`fx5>0amli&S`3olirobNH-xTm)}&ZT&P|TN#0eq9zBHY2Zf!s$mqR&x3&RG)^n)XFOp7-7jZHY$e;U^p<#j}Qbr1@4ZoHd{^ZPfs zyBv}&MLiegXyT@NhwJ0lSptg-TE0G3t48v@xc6kHVroa*##+ezPwmOCYRV$(^|M<0 zdw@fxzr*Ej(c1Q~{TZHkEn+zLW^&m7p%5A!rtm^O4CR_X;Y%N^yE1(k0MW3HeB)rz zgtAX>E*>n^zQzTFPs3I)9=9#POYoe;zHs}#62llu^1tt{MGL+Ate?dLObMRe8;yoA8`bJB(YMUQf3(uU7`9 z%@mevdZ8s@?a; z9GxpwZU%MgyaVnKvO1hY#d@InRQ@W>gq$FD#@=I-f4jdIP%~6UCW!;Qb;4gI0{=bs zZLOyh9y5*D7;(7R6tRFXh4T*Jah7*c2Bh`(8``+dkAXG0D-(WdF`^E{-t`>^D_#SE zE&^O!f}hKA<}1r$zdZ)Yk>l{FBE2xeKO8$!j5vaCb$obnW331ODEq=ld_!yY{W4z6 z@+qucOBOqYb94~<6qY9gpN+42$X++>IT8Q2{`!U}1e52&ucO(1ou|iWPMEBY{4M^k z4`=lr8xxq)At^)uv_J!+0{IT4Pn9nQvu-%YFVDR5h&*l%BN1JoDoINv()DWboA(cC|2Vcl8o>q=Jh-d@h*r(9MlJbb&8GNOOk<8#I5m zqr1=RJKYHd8SvZmwlU;LH0wz^9qJg>wJI>$W)x3E6uY7*8rwk(fk8sB-sUZTj8e^3 zlG+eTyTA;Zh*-EVmp&5~6?49oe7du!kF~*6YE~nWi^g$>{-o}v3s#5|x$(aB>QGM^ z7sn{tD20@&da$#xVpe`S?;$yBLUB|E5phVjuC2oaAJ~Ic|AE;5PJn36?yqmPubZ0c zA<{Fp<4}9axu7jst4jq@ogVB%itgcOiO`XZ{h1RieQY$VNXG!LsVUubdN}k;&7f9R zoDs)MMP0V?gI~&R=)1sJ?vE*L1*u`t}t6suAUa>VQ{ZO+!&~%w52w(gT|6*}n9lDZp(K8_-s(!-TPwQ9{4u-HK4byK z_GqevpxogVGrIcKp%6Z8^1tJ~nEy-B@jsaxEfs({45PHY8Nh=`mx+j(iA5iVQPs)| z@E@BnjG9Ec%tWk2%-kf8w)%8e-cLjgXLHFbJ8r} zMo3}1|NKm$g^>pFn4_tWh|Nu)8IUoR6m}r&`{3~ca#KrbU`45MVP$bUyFAZo&VF5q zXJ>vwHX6a?Qx`*k$`qje0$|)*ajW&xRQK{66ri{hfdQ0$*wjNoDS{=U1t@# zSEH%1d(~$nv3t8|qp|xsX@h{U3k~B4N9p+M=JxIDDxdNlJXeO)_W!=jF0RJTt{&eU UB@8q7w}_D$hMZhnQ3B?F0kiubcK`qY literal 0 HcmV?d00001 diff --git a/doc/Projects/2018/hw1/pdf/hw1.tex b/doc/Projects/2018/hw1/pdf/hw1.tex new file mode 100644 index 000000000..4e6872d7d --- /dev/null +++ b/doc/Projects/2018/hw1/pdf/hw1.tex @@ -0,0 +1,270 @@ +%% +%% Automatically generated file from DocOnce source +%% (https://github.com/hplgit/doconce/) +%% +%% + + +%-------------------- begin preamble ---------------------- + +\documentclass[% +oneside, % oneside: electronic viewing, twoside: printing +final, % draft: marks overfull hboxes, figures with paths +10pt]{article} + +\listfiles % print all files needed to compile this document + +\usepackage{relsize,makeidx,color,setspace,amsmath,amsfonts,amssymb} +\usepackage[table]{xcolor} +\usepackage{bm,ltablex,microtype} + +\usepackage[pdftex]{graphicx} + +\usepackage{fancyvrb} % packages needed for verbatim environments + +\usepackage[T1]{fontenc} +%\usepackage[latin1]{inputenc} +\usepackage{ucs} +\usepackage[utf8x]{inputenc} + +\usepackage{lmodern} % Latin Modern fonts derived from Computer Modern + +% Hyperlinks in PDF: +\definecolor{linkcolor}{rgb}{0,0,0.4} +\usepackage{hyperref} +\hypersetup{ + breaklinks=true, + colorlinks=true, + linkcolor=linkcolor, + urlcolor=linkcolor, + citecolor=black, + filecolor=black, + %filecolor=blue, + pdfmenubar=true, + pdftoolbar=true, + bookmarksdepth=3 % Uncomment (and tweak) for PDF bookmarks with more levels than the TOC + } +%\hyperbaseurl{} % hyperlinks are relative to this root + +\setcounter{tocdepth}{2} % levels in table of contents + +% --- fancyhdr package for fancy headers --- +\usepackage{fancyhdr} +\fancyhf{} % sets both header and footer to nothing +\renewcommand{\headrulewidth}{0pt} +\fancyfoot[LE,RO]{\thepage} +% Ensure copyright on titlepage (article style) and chapter pages (book style) +\fancypagestyle{plain}{ + \fancyhf{} + \fancyfoot[C]{{\footnotesize \copyright\ 1999-2018, "Data Analysis and Machine Learning FYS-STK3155/FYS4155":"http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html". Released under CC Attribution-NonCommercial 4.0 license}} +% \renewcommand{\footrulewidth}{0mm} + \renewcommand{\headrulewidth}{0mm} +} +% Ensure copyright on titlepages with \thispagestyle{empty} +\fancypagestyle{empty}{ + \fancyhf{} + \fancyfoot[C]{{\footnotesize \copyright\ 1999-2018, "Data Analysis and Machine Learning FYS-STK3155/FYS4155":"http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html". Released under CC Attribution-NonCommercial 4.0 license}} + \renewcommand{\footrulewidth}{0mm} + \renewcommand{\headrulewidth}{0mm} +} + +\pagestyle{fancy} + + +% prevent orhpans and widows +\clubpenalty = 10000 +\widowpenalty = 10000 + +% --- end of standard preamble for documents --- + + +% insert custom LaTeX commands... + +\raggedbottom +\makeindex +\usepackage[totoc]{idxlayout} % for index in the toc +\usepackage[nottoc]{tocbibind} % for references/bibliography in the toc + +%-------------------- end preamble ---------------------- + +\begin{document} + +% matching end for #ifdef PREAMBLE + +\newcommand{\exercisesection}[1]{\subsection*{#1}} + + +% ------------------- main content ---------------------- + + + +% ----------------- title ------------------------- + +\thispagestyle{empty} + +\begin{center} +{\LARGE\bf +\begin{spacing}{1.25} +Homework 1 +\end{spacing} +} +\end{center} + +% ----------------- author(s) ------------------------- + +\begin{center} +{\bf \href{{http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html}}{Data Analysis and Machine Learning FYS-STK3155/FYS4155}} +\end{center} + + \begin{center} +% List of all institutions: +\centerline{{\small Department of Physics, University of Oslo, Norway}} +\end{center} + +% ----------------- end author(s) ------------------------- + +% --- begin date --- +\begin{center} +Aug 27, 2018 +\end{center} +% --- end date --- + +\vspace{1cm} + + +\subsection*{Exercise 1} + +The first exercise here is of a mere technical art. We want you have installed +\begin{itemize} +\item git as a version control software and to establish a user account on a provider like GitHub. Other providers like GitLab etc are equally fine. You can also use the University of Oslo \href{{https://www.uio.no/tjenester/it/maskin/filer/versjonskontroll/github.html}}{GitHub facilities}. + +\item Install various Python packages +\end{itemize} + +\noindent +We will make extensive use of Python as programming language and its +myriad of available libraries. You will find +IPython/Jupyter notebooks invaluable in your work. You can run \textbf{R} +codes in the Jupyter/IPython notebooks, with the immediate benefit of +visualizing your data. You can also use compiled languages like C++, +Rust, Fortran etc if you prefer. The focus in these lectures will be +on Python, but we will provide many code examples for those of you who +prefer R or compiled languages. You can integrate C++ codes and R in for example +a Jupyter notebook. + + +If you have Python installed (we recommend Python3) and you feel +pretty familiar with installing different packages, we recommend that +you install the following Python packages via \textbf{pip} as + +\begin{enumerate} +\item pip install numpy scipy matplotlib ipython scikit-learn sympy pandas pillow +\end{enumerate} + +\noindent +For \textbf{Tensorflow}, we recommend following the instructions in the text of +\href{{http://shop.oreilly.com/product/0636920052289.do}}{Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly} + +We will come back to \textbf{tensorflow} later. + +For Python3, replace \textbf{pip} with \textbf{pip3}. + +For OSX users we recommend, after having installed Xcode, to +install \textbf{brew}. Brew allows for a seamless installation of additional +software via for example + +\begin{enumerate} +\item brew install python3 +\end{enumerate} + +\noindent +For Linux users, with its variety of distributions like for example the widely popular Ubuntu distribution, +you can use \textbf{pip} as well and simply install Python as + +\begin{enumerate} +\item sudo apt-get install python3 (or python for pyhton2.7) +\end{enumerate} + +\noindent +If you don't want to perform these operations separately and venture +into the hassle of exploring how to set up dependencies and paths, we +recommend two widely used distrubutions which set up all relevant +dependencies for Python, namely + +\begin{itemize} +\item \href{{https://docs.anaconda.com/}}{Anaconda}, +\end{itemize} + +\noindent +which is an open source +distribution of the Python and R programming languages for large-scale +data processing, predictive analytics, and scientific computing, that +aims to simplify package management and deployment. Package versions +are managed by the package management system \textbf{conda}. + +\begin{itemize} +\item \href{{https://www.enthought.com/product/canopy/}}{Enthought canopy} +\end{itemize} + +\noindent +is a Python +distribution for scientific and analytic computing distribution and +analysis environment, available for free and under a commercial +license. + +We recommend using \textbf{Anaconda}. + +\subsection*{Exercise 2} + +We will generate our own dataset for function $y(x)$ where $x \in [0,2]$ and defined by random numbers computed with the uniform distribution. The function $y$ is a quadratic polynomial in $x$ with added stochastic noise according to the normal distribution $\cal {N}(0,1)$. +The following simple Python instructions define our $x$ and $y$ values (with 100 data points). +\begin{print} +x = np.random.rand(100,1) +y = 5*x*x+0.1*np.random.randn(100,1) +\end{print} + +\begin{enumerate} +\item Write your own code (following the examples under the \href{{https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html}}{regression slides} for computing the parametrization of the data set fitting a second-order polynomial. + +\item Use thereafter \textbf{scikit-learn} (see again the examples in the regression slides) and compare with your own code. + +\item Using scikit-learn, compute also the mean square error, a risk metric corresponding to the expected value of the squared (quadratic) error or loss defined as +\end{enumerate} + +\noindent +\[ MSE(\hat{y},\hat{\tilde{y}}) = \frac{1}{n} +\sum_{i=0}^{n-1}(y_i-\tilde{y}_i)^2, +\] +and the $R^2$ score function. +If $\tilde{\hat{y}}_i$ is the predicted value of the $i-th$ sample and $y_i$ is the corresponding true value, then the score $R^2$ is defined as +\[ +R^2(\hat{y}, \tilde{\hat{y}}) = 1 - \frac{\sum_{i=0}^{n - 1} (y_i - \tilde{y}_i)^2}{\sum_{i=0}^{n - 1} (y_i - \bar{y})^2}, +\] +where we have defined the mean value of $\hat{y}$ as +\[ +\bar{y} = \frac{1}{n} \sum_{i=0}^{n - 1} y_i. +\] + +Discuss the meaning of these results. Try also to vary the coefficient in front of the added stochastic noise term and discuss the quality of the fits. + + + + +\subsection*{Exercise 3, variance of the parameters $\beta$ in linear regression} + +Show that the variance of the parameters $\beta$ in the linear regression method (chapter 3, equation (3.8) of \href{{https://www.springer.com/gp/book/9780387848570}}{Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer}) is given as + +\[ +mathrm{Var}(\hat{\beta}) = \left(\hat{X}^T\hat{X}\right)^{-1}\sigma^2, +\] +with +\[ +\sigma^2 = \frac{1}{N-p-1}\sum_{i=1}{N} (y_i-\tilde{y}_i)^2, +\] +where we have assumed that we fit a function of degree $p-1$ (for example a polynomial in $x$). + + +% ------------------- end of main content --------------- + +\end{document} + diff --git a/doc/src/Projects/2018/Exercises/hw1.do.txt b/doc/src/Projects/2018/Exercises/hw1.do.txt index bd2355fab..c19d24d2e 100644 --- a/doc/src/Projects/2018/Exercises/hw1.do.txt +++ b/doc/src/Projects/2018/Exercises/hw1.do.txt @@ -5,8 +5,117 @@ DATE:Today ===== Exercise 1 ===== -Make sure you have installed all necessary t +The first exercise here is of a mere technical art. We want you have installed +* git as a version control software and to establish a user account on a provider like GitHub. Other providers like GitLab etc are equally fine. You can also use the University of Oslo "GitHub facilities":"https://www.uio.no/tjenester/it/maskin/filer/versjonskontroll/github.html". +* Install various Python packages + +We will make extensive use of Python as programming language and its +myriad of available libraries. You will find +IPython/Jupyter notebooks invaluable in your work. You can run _R_ +codes in the Jupyter/IPython notebooks, with the immediate benefit of +visualizing your data. You can also use compiled languages like C++, +Rust, Fortran etc if you prefer. The focus in these lectures will be +on Python, but we will provide many code examples for those of you who +prefer R or compiled languages. You can integrate C++ codes and R in for example +a Jupyter notebook. + + +If you have Python installed (we recommend Python3) and you feel +pretty familiar with installing different packages, we recommend that +you install the following Python packages via _pip_ as + +o pip install numpy scipy matplotlib ipython scikit-learn sympy pandas pillow + +For _Tensorflow_, we recommend following the instructions in the text of +"Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow, O'Reilly":"http://shop.oreilly.com/product/0636920052289.do" + +We will come back to _tensorflow_ later. + +For Python3, replace _pip_ with _pip3_. + +For OSX users we recommend, after having installed Xcode, to +install _brew_. Brew allows for a seamless installation of additional +software via for example + +o brew install python3 + +For Linux users, with its variety of distributions like for example the widely popular Ubuntu distribution, +you can use _pip_ as well and simply install Python as + +o sudo apt-get install python3 (or python for pyhton2.7) + +If you don't want to perform these operations separately and venture +into the hassle of exploring how to set up dependencies and paths, we +recommend two widely used distrubutions which set up all relevant +dependencies for Python, namely + +* "Anaconda":"https://docs.anaconda.com/", + +which is an open source +distribution of the Python and R programming languages for large-scale +data processing, predictive analytics, and scientific computing, that +aims to simplify package management and deployment. Package versions +are managed by the package management system _conda_. + +* "Enthought canopy":"https://www.enthought.com/product/canopy/" + +is a Python +distribution for scientific and analytic computing distribution and +analysis environment, available for free and under a commercial +license. + +We recommend using _Anaconda_. ===== Exercise 2 ===== -===== Exercise 3 ===== +We will generate our own dataset for function $y(x)$ where $x \in [0,2]$ and defined by random numbers computed with the uniform distribution. The function $y$ is a quadratic polynomial in $x$ with added stochastic noise according to the normal distribution $\cal {N}(0,1)$. +The following simple Python instructions define our $x$ and $y$ values (with 100 data points). +!bc pycod +x = np.random.rand(100,1) +y = 5*x*x+0.1*np.random.randn(100,1) +!ec + +o Write your own code (following the examples under the "regression slides":"https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" for computing the parametrization of the data set fitting a second-order polynomial. +o Use thereafter _scikit-learn_ (see again the examples in the regression slides) and compare with your own code. +o Using scikit-learn, compute also the mean square error, a risk metric corresponding to the expected value of the squared (quadratic) error or loss defined as +!bt +\[ MSE(\hat{y},\hat{\tilde{y}}) = \frac{1}{n} +\sum_{i=0}^{n-1}(y_i-\tilde{y}_i)^2, +\] +!et +and the $R^2$ score function. +If $\tilde{\hat{y}}_i$ is the predicted value of the $i-th$ sample and $y_i$ is the corresponding true value, then the score $R^2$ is defined as +!bt +\[ +R^2(\hat{y}, \tilde{\hat{y}}) = 1 - \frac{\sum_{i=0}^{n - 1} (y_i - \tilde{y}_i)^2}{\sum_{i=0}^{n - 1} (y_i - \bar{y})^2}, +\] +!et +where we have defined the mean value of $\hat{y}$ as +!bt +\[ +\bar{y} = \frac{1}{n} \sum_{i=0}^{n - 1} y_i. +\] +!et + +Discuss the meaning of these results. Try also to vary the coefficient in front of the added stochastic noise term and discuss the quality of the fits. + + + + +===== Exercise 3, variance of the parameters $\beta$ in linear regression ===== + +Show that the variance of the parameters $\beta$ in the linear regression method (chapter 3, equation (3.8) of "Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer":"https://www.springer.com/gp/book/9780387848570") is given as + +!bt +\[ +mathrm{Var}(\hat{\beta}) = \left(\hat{X}^T\hat{X}\right)^{-1}\sigma^2, +\] +!et +with +!bt +\[ +\sigma^2 = \frac{1}{N-p-1}\sum_{i=1}{N} (y_i-\tilde{y}_i)^2, +\] +!et +where we have assumed that we fit a function of degree $p-1$ (for example a polynomial in $x$). + diff --git a/doc/src/Projects/2018/Exercises/hw2.do.txt b/doc/src/Projects/2018/Exercises/hw2.do.txt index ac2a84a73..bd2355fab 100644 --- a/doc/src/Projects/2018/Exercises/hw2.do.txt +++ b/doc/src/Projects/2018/Exercises/hw2.do.txt @@ -1,100 +1,12 @@ -TITLE: Project 1 on Machine Learning, deadline October 1 +TITLE: Homework 1 AUTHOR: "Data Analysis and Machine Learning FYS-STK3155/FYS4155":"http://www.uio.no/studier/emner/matnat/fys/FYS3155/index-eng.html" {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo, Norway -DATE: May 2018 +DATE:Today -===== Regression analysis and classification ===== +===== Exercise 1 ===== -=== Introduction === +Make sure you have installed all necessary t +===== Exercise 2 ===== - -=== Part a): The data === - - -===== Background literature ===== - - - - -===== Introduction to numerical projects ===== - -Here follows a brief recipe and recommendation on how to write a report for each -project. - - * Give a short description of the nature of the problem and the eventual numerical methods you have used. - - * Describe the algorithm you have used and/or developed. Here you may find it convenient to use pseudocoding. In many cases you can describe the algorithm in the program itself. - - * Include the source code of your program. Comment your program properly. - - * If possible, try to find analytic solutions, or known limits in order to test your program when developing the code. - - * Include your results either in figure form or in a table. Remember to label your results. All tables and figures should have relevant captions and labels on the axes. - - * Try to evaluate the reliabilty and numerical stability/precision of your results. If possible, include a qualitative and/or quantitative discussion of the numerical stability, eventual loss of precision etc. - - * Try to give an interpretation of you results in your answers to the problems. - - * Critique: if possible include your comments and reflections about the exercise, whether you felt you learnt something, ideas for improvements and other thoughts you've made when solving the exercise. We wish to keep this course at the interactive level and your comments can help us improve it. - - * Try to establish a practice where you log your work at the computerlab. You may find such a logbook very handy at later stages in your work, especially when you don't properly remember what a previous test version of your program did. Here you could also record the time spent on solving the exercise, various algorithms you may have tested or other topics which you feel worthy of mentioning. - - - - - -===== Format for electronic delivery of report and programs ===== - -The preferred format for the report is a PDF file. You can also use DOC or postscript formats or as an ipython notebook file. As programming language we prefer that you choose between C/C++, Fortran2008 or Python. The following prescription should be followed when preparing the report: - - * Use Devilry to hand in your projects, log in at URL:"http://devilry.ifi.uio.no" with your normal UiO username and password and choose either 'fysstk3155' or 'fysstk4155'. There you can load up the files within the deadline. - - * Upload _only_ the report file! For the source code file(s) you have developed please provide us with your link to your github domain. The report file should include all of your discussions and a list of the codes you have developed. Do not include library files which are available at the course homepage, unless you have made specific changes to them. - - * In your git repository, please include a folder which contains selected results. These can be in the form of output from your code for a selected set of runs and input parameters. - - * In this and all later projects, you should include tests (for example unit tests) of your code(s). - - * Comments from us on your projects, approval or not, corrections to be made etc can be found under your Devilry domain and are only visible to you and the teachers of the course. - - - -Finally, -we encourage you to work two and two together. Optimal working groups consist of -2-3 students. You can then hand in a common report. - - - -===== Software and needed installations ===== - -If you have Python installed (we recommend Python3) and you feel pretty familiar with installing different packages, -we recommend that you install the following Python packages via _pip_ as -o pip install numpy scipy matplotlib ipython scikit-learn tensorflow sympy pandas pillow -For Python3, replace _pip_ with _pip3_. - -See below for a discussion of _tensorflow_ and _scikit-learn_. - -For OSX users we recommend also, after having installed Xcode, to install _brew_. Brew allows -for a seamless installation of additional software via for example -o brew install python3 - -For Linux users, with its variety of distributions like for example the widely popular Ubuntu distribution -you can use _pip_ as well and simply install Python as -o sudo apt-get install python3 (or python for python2.7) -etc etc. - -If you don't want to install various Python packages with their dependencies separately, we recommend two widely used distrubutions which set up all relevant dependencies for Python, namely -o "Anaconda":"https://docs.anaconda.com/" Anaconda is an open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system _conda_ -o "Enthought canopy":"https://www.enthought.com/product/canopy/" is a Python distribution for scientific and analytic computing distribution and analysis environment, available for free and under a commercial license. - -Popular software packages written in Python for ML are - -* "Scikit-learn":"http://scikit-learn.org/stable/", -* "Tensorflow":"https://www.tensorflow.org/", -* "PyTorch":"http://pytorch.org/" and -* "Keras":"https://keras.io/". -These are all freely available at their respective GitHub sites. They -encompass communities of developers in the thousands or more. And the number -of code developers and contributors keeps increasing. - +===== Exercise 3 ===== diff --git a/doc/web/course.do.txt b/doc/web/course.do.txt index 0fa52779d..d98c3a3ac 100644 --- a/doc/web/course.do.txt +++ b/doc/web/course.do.txt @@ -86,7 +86,17 @@ ${text_types(ch)} !split -===== Projects Fall 2018 ===== +===== Projects and Exercises Fall 2018 ===== + +=== First homework set, week 35 === + * LaTeX and PDF: + * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/pdf/hw1.tex" + * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/pdf/hw1.pdf" + * HTML: + * "Plain html":"http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/html/hw1.html" + * "Bootstrap slide style, easy for reading on mobile devices": "http://compphysics.github.io/MachineLearning/doc/Projects/2018/hw1/html/hw1-bs.html" + + === Project 1, Deadline October 1 === * LaTeX and PDF: diff --git a/doc/web/course.html b/doc/web/course.html index 8b8e93559..f17cafa09 100644 --- a/doc/web/course.html +++ b/doc/web/course.html @@ -97,26 +97,27 @@ div { text-align: justify; text-justify: inter-word; } '___sec11'), ('Python and Scikit Learn, a short guide', 2, None, '___sec12'), ('Teach yourself C++', 2, None, '___sec13'), - ('Projects Fall 2018', 2, None, '___sec14'), - ('Project 1, Deadline October 1', 3, None, '___sec15'), - ('Project 2, Deadline November 5', 3, None, '___sec16'), - ('Project 3, Deadline November 30', 3, None, '___sec17'), - ('Course content', 3, None, '___sec18'), - ('Learning outcomes', 2, None, '___sec19'), - ('Prerequisites', 2, None, '___sec20'), - ('The course has two central parts', 2, None, '___sec21'), + ('Projects and Exercises Fall 2018', 2, None, '___sec14'), + ('First homework set, week 35', 3, None, '___sec15'), + ('Project 1, Deadline October 1', 3, None, '___sec16'), + ('Project 2, Deadline November 5', 3, None, '___sec17'), + ('Project 3, Deadline November 30', 3, None, '___sec18'), + ('Course content', 3, None, '___sec19'), + ('Learning outcomes', 2, None, '___sec20'), + ('Prerequisites', 2, None, '___sec21'), + ('The course has two central parts', 2, None, '___sec22'), ('Statistical analysis and optimization of data', 3, None, - '___sec22'), - ('Machine learning', 3, None, '___sec23'), - ('Recommended textbooks', 2, None, '___sec24'), + '___sec23'), + ('Machine learning', 3, None, '___sec24'), + ('Recommended textbooks', 2, None, '___sec25'), ('"Other ' 'textbooks":"https://github.com/CompPhysics/MachineLearning/tree/master/doc/Textbooks"', 2, None, - '___sec25'), - ('Teaching schedule Fall 2018', 2, None, '___sec26')]} + '___sec26'), + ('Teaching schedule Fall 2018', 2, None, '___sec27')]} end of tocinfo --> @@ -555,9 +556,28 @@ formulas in HTML or ipython notebook files. -

Projects Fall 2018

+

Projects and Exercises Fall 2018

-

Project 1, Deadline October 1

+

First homework set, week 35

+ +
+ +

Project 1, Deadline October 1

  • LaTeX and PDF:
  • @@ -576,7 +596,7 @@ formulas in HTML or ipython notebook files.
-

Project 2, Deadline November 5

+

Project 2, Deadline November 5

  • LaTeX and PDF:
  • @@ -595,7 +615,7 @@ formulas in HTML or ipython notebook files.
-

Project 3, Deadline November 30

+

Project 3, Deadline November 30

  • LaTeX and PDF:
  • @@ -614,7 +634,7 @@ formulas in HTML or ipython notebook files.
-

Course content

+

Course content

Probability theory and statistical methods play a central role in science. Nowadays we are @@ -633,7 +653,7 @@ tools of probability theory, the aim of this course is to expose you to central This course covers thus topics like Monte Carlo methods and Markov chains, Bayesian statistics, error estimates, various linear methods, optimization of data and error analysis and central algorithms in machine learning. The course has several numerical projects and numerical exercises that are meant to illustrate the theory. -

Learning outcomes

+

Learning outcomes

The course introduces a variety of central algorithms and methods @@ -650,19 +670,19 @@ essential for studies of data analysis and machine learning. The course is proje

  • Work on numerical projects to illustrate the theory. The projects play a central role and students are expected to know modern programming languages like Python or C++.
  • -

    Prerequisites

    +

    Prerequisites

    Basic knowledge in programming and numerics. Required courses are the equivalents to the University of Oslo mathematics courses MAT1100, MAT1110, MAT1120 and at least one of the corresponding computing and programming courses INF1000/INF1110 or MAT-INF1100/MAT-INF1100L/BIOS1100/KJM-INF1xxx. -

    The course has two central parts

    +

    The course has two central parts

    1. Statistical analysis and optimization of data
    2. Machine learning
    -

    Statistical analysis and optimization of data

    +

    Statistical analysis and optimization of data

    The following topics will be covered @@ -679,7 +699,7 @@ The following topics will be covered

  • Practical optimization using Singular-value decomposition and least squares for parameterizing data.
  • -

    Machine learning

    +

    Machine learning

    The following topics will be covered @@ -695,14 +715,14 @@ The following topics will be covered All the above topics will be supported by examples, hands-on exercises and project work. -

    Recommended textbooks

    +

    Recommended textbooks

    -

    Other textbooks

    +

    Other textbooks

    General learning book on statistical analysis: @@ -724,7 +744,7 @@ All the above topics will be supported by examples, hands-on exercises and proje -

    Teaching schedule Fall 2018

    +

    Teaching schedule Fall 2018

    Acronyms for textbooks and references to chapter