From b7a0ddbc94ba4c4faa967bb47cc568f4359eb798 Mon Sep 17 00:00:00 2001 From: Michael Beck Date: Wed, 17 Dec 2025 18:41:28 +0100 Subject: [PATCH] finalizes manuscript for preprint --- Supplements.qmd | 59 ++++++-- _quarto.yml | 2 - custom-reference-doc.docx | Bin 8916 -> 21824 bytes img/2025-08-04-174744_hyprshot.png | Bin 0 -> 203547 bytes index.qmd | 216 ++++++++++++++++------------- 5 files changed, 168 insertions(+), 109 deletions(-) create mode 100644 img/2025-08-04-174744_hyprshot.png diff --git a/Supplements.qmd b/Supplements.qmd index 76dcc6c..2e4daad 100644 --- a/Supplements.qmd +++ b/Supplements.qmd @@ -4,6 +4,11 @@ top-level-division: section prefer-html: true execute: freeze: auto +format: + pdf: + toc: true + lot: true + lof: true --- ```{r} @@ -12,6 +17,8 @@ execute: source("deps.R") ``` +\newpage + # Introduction This document serves as a supplement to the main article, providing additional details on the sampling approach, sample size determination, model training procedures, and evaluation metrics used in the study of Open Science Practices (OSP) adoption in scientific publications. The full methodological report, containing all code necessary for full replication can be accessed in the OSF repository. @@ -26,9 +33,7 @@ The process involved in the following steps: 4. Due to good performance, ChatGPT was used to classify the rest of Sample A, and the combined manual/LLM labels formed the training and test data for subsequent ML models. 5. ML Classifiers were trained on the produced classified subsample. -Classification of the training Sample B followed the same approach. For classification document feature matrices were generated using term frequencies of keywords. These keywords were both adopted from @scogginsMeasuringTransparencySocial2024 as well as self created, and extended using ChatGPT. Keywords were context specific according to the classified variable. All classification tasks were binary classifications. After assembling the keywords, the SI classifier was fine-tuned. Using this classifier, the analytical sample was categorized. SI documents were then classified for applying OSPs. - -The approach might seem overly complicated but was intitially designed to be used on a much larger corpus of publications. As time progressed during the project multiple reasons recommend a simpler approach that will be discussed later. +Classification of the training Sample B followed a similar approach. For classification document feature matrices were generated using term frequencies of keywords. These keywords were both adopted from @scogginsMeasuringTransparencySocial2024 as well as self created, and extended using ChatGPT. Keywords were context specific according to the classified variable. All classification tasks were binary classifications. After assembling the keywords, the SI classifier was fine-tuned. Using this classifier, the analytical sample was categorized. SI documents were then classified for applying OSPs. # Sample Size @@ -118,7 +123,7 @@ if (isTRUE(debug_mode)) { } ``` -The minimum calculated total sample size equals 4265 (rounded) publications to achieve a 95% confidence interval with a half-width of $\pm$ 1.5 pp using the @agrestiApproximateBetterExact1998 method. When applying the assumed prevalence values for each OSP, the required sample sizes to achieve a 95% confidence interval with a half-width of $\pm$ 1.5 pp vary substantially. As shown in @tbl-cap-estimated-sample-sizes-osp, approximately 3,200 publications are needed to estimate OA at 25%, about 2,180 publications for OD at 15%, and only about 840 publications for OM or Preregistration at 5%. +The minimum calculated total sample size equals 4265 publications to achieve a 95% confidence interval with a half-width of $\pm$ 1.5 pp using the @agrestiApproximateBetterExact1998 method. When applying the assumed prevalence values for each OSP, the required sample sizes to achieve a 95% confidence interval with a half-width of $\pm$ 1.5 pp vary substantially. As shown in @tbl-cap-estimated-sample-sizes-osp, approximately 3,200 publications are needed to estimate OA at 25%, about 2,180 publications for OD at 15%, and only about 840 publications for OM or Preregistration at 5%. These values are all below the worst-case requirement of 4,264, reflecting the lower variance at prevalences farther from 50%. At the assumed prevalences, 2,182 SI papers would be required to estimate OD at 15% with +- 1.5 percentage-points precision. This equals the OD requirement but is below the OA requirement, which on the other hand can be measured for the whole population, not just SI publications. Thus, while the sample is sufficiently large for OD, OM, and Preregistration, it falls slightly short of the target precision for OA, which could be measured on a larger scale. @@ -169,11 +174,49 @@ An overestimation the prevalence of each OSP in the population can lead to poten # Full Text Retrieval -As mentioned in the manuscript, full texts were retreived using a self developed web application that used both web scraping and publisher API's. Legal aspects were carefully considered throughout the development. Within the EU, scraping is legal for scientific purposes [@urhg-60d-tdm], but institutional contracts can override this. Scraping was therefore limited to the university network and only to publishers that permit it while other publishers were scraped outside of the network. Technical details are available in the documents provided while the scraper might be made publicly available in the future. +Legal aspects were carefully considered throughout the development. Within the EU, scraping is legal for scientific purposes [@urhg-60d-tdm], but institutional contracts can override this. Scraping was therefore limited to the university network and only to publishers that permit it while other publishers were scraped outside of the network. The scraper might be made publicly available in the future. + +The fulltexts were downloaded using **SciPaperLoader** a self-developed Flask-based web application designed for automated scientific paper processing and metadata extraction, built by the author. The app that lets the user import scientific paper metadata (CSV or manual), then schedules and runs automated fetching/parsing jobs to extract content/metadata and track each paper's processing status with logs and a dashboard. It supports many academic publishers via mostly YAML-configured parsers (plus optional custom Python parsers) that leverage Beautiful Soup, with a streamlined focus on paywall detection and transparent pattern-matching output. + +![Fulltext Downloader Screenshot: Control Panel](img/2025-08-04-174744_hyprshot.png) + +The scraper produced .txt files using the following standardized format while also downloading the full HTML and PDF files, if available. This enabled later re-extraction if necessary. + +``` +DOI: 10.14763/2017.1.454 +DOI URL: https://doi.org/10.14763/2017.1.454 +Extracted URL: https://policyreview.info/articles/analysis/passage-australias-data-retention-regime-national-security-human-rights-and-media +Extracted: 2025-08-05T16:57:14.685108 +Parser: policyreview +Publisher: policyreview +Extraction Method: HTML +Paywall Status: open_access +================================================================================ + +TITLE: The passage of Australia’s data retention regime: national security, human rights, and media scrutiny + +AUTHORS: Nicolas P. Suzor, Kylie Pappalardo, Natalie McIntosh + +ABSTRACT: +Abstract + In 2015, the Australian government passed the Telecommunications (Interception and Access) Amendment (Data Retention) Act, which requires ISPs to collect metadata about their users and store this metadata for two years. From its conception, Australia’s data retention scheme has been controversial. In this article we examine how public interest concerns were addressed in Australian news media during the Act’s passage. The Act was ultimately passed with bipartisan support, despite serious deficiencies. We show how the Act’s complexity seemed to limit engaged critique in the mainstream media and how fears over terrorist attacks were exploited to secure the Act’s passage through parliament. + +FULL TEXT: +Title: The passage of Australia’s data retention regime: national security, human rights, and media scrutiny + +Abstract: Abstract + In 2015, the Australian government passed the Telecommunications (Interception and Access) Amendment (Data Retention) Act, which requires ISPs to collect metadata about their users and store this metadata for two years. From its conception, Australia’s data retention scheme has been controversial. In this article we examine how public interest concerns were addressed in Australian news media during the Act’s passage. The Act was ultimately passed with bipartisan support, despite serious deficiencies. We show how the Act’s complexity seemed to limit engaged critique in the mainstream media and how fears over terrorist attacks were exploited to secure the Act’s passage through parliament. + +This paper is part of Australian internet policy, a special issue of Internet Policy Review guest-edited by Angela Daly and Julian Thomas. + +[FULLTEXT REDACTED IN THIS DOCUMENT] +``` + +During the preprocessing steps, parts above the "FULL TEXT:" heading were dismissed. # Model Training -Overall agreement after resolving initial disagreements was good, as shown in @fig-cfm-osp. Nevertheless, some categories exhibited extreme class imbalance, especially preregistration, which later proved problematic in subsequent stages of the process. Given the small number of positive cases, the ChatGPT-based classification was used to extend the training sample further. A full classification of the analytical sample using an LLM was considered desirable, but was not financially feasible within the project. +Overall agreement between manual and ChatGPT-based coding after resolving initial disagreements was good, as shown in @fig-cfm-osp. Nevertheless, some categories exhibited extreme class imbalance, especially preregistration, which later proved problematic in subsequent stages of the process. Given the small number of positive cases, the ChatGPT-based classification was used to extend the training sample further. A full classification of the analytical sample using an LLM was considered desirable, but was not financially feasible within the project. ```{r} #| fig-cap: Confusion Matrices - Manual vs ChatGPT Labels for Open Science Practices and Statistical Inference (design-weighted) @@ -253,7 +296,7 @@ if (isTRUE(debug_mode)) { ## Model Evaluation -The two top-left graphs in @fig-evaluation-stat, @fig-evaluation-od, @fig-evaluation-om and @fig-evaluation-pre show the performance of different feature set and model combinations measured by ROC-AUC [@fawcettIntroductionROCAnalysis2006]. In @fig-evaluation-stat, the top graph identifies the XGBoost classifier combined with a simple term frequencies dataset as the top-performing model. The top-right graph shows the most important terms for the XGBoost classifier, which are primarily statistical. The confusion matrix shows that the model is quite precise, with a 91.7% accuracy and a Cohen's Kappa of 0.832. This performance is good compared to hand-coded cases. Model calibration was not highly successful as the model's probabilities were already well-calibrated, mostly at the extremes of 0 and 1. A probability threshold of 0.25 was chosen based on three different metrics. This threshold is used for the final classification, where any case with a predicted probability greater than 0.25 is classified as 1. It's also important to note that the OSP classifiers performed much worse, as seen below. +The two top-left graphs in @fig-evaluation-stat, @fig-evaluation-od, @fig-evaluation-om and @fig-evaluation-pr show the performance of different feature set and model combinations measured by ROC-AUC [@fawcettIntroductionROCAnalysis2006]. In @fig-evaluation-stat, the top graph identifies the XGBoost classifier combined with a simple term frequencies dataset as the top-performing model. The top-right graph shows the most important terms for the XGBoost classifier, which are primarily statistical. The confusion matrix shows that the model is quite precise, with a 91.7% accuracy and a Cohen's Kappa of 0.832. This performance is good compared to hand-coded cases. Model calibration was not highly successful as the model's probabilities were already well-calibrated, mostly at the extremes of 0 and 1. A probability threshold of 0.25 was chosen based on three different metrics. This threshold is used for the final classification, where any case with a predicted probability greater than 0.25 is classified as 1. It's also important to note that the OSP classifiers performed much worse, as seen below. ![Evaluation Metrics: Statistical Inference Classification](figures/combined_plot_is_statistical.pdf){#fig-evaluation-stat} @@ -280,7 +323,7 @@ Category-specific results highlight class-imbalance constraints. Preregistration [^1]: The accuracy-no-information-rate p-value tests the null hypothesis that the accuracy is equal to the no-information rate or the accuracy when always predicting the most frequent class [@kuhnBuildingPredictiveModels2008]. -The ML classifiers trained on GPT labels inherit GPT's strengths and the data's sparsity.For the relatively small 20% validation set coded by GPT, the open-science practice classifiers are less precise and less reliable than the Statistical-Inference classifier. Preregistration (@fig-fig-evaluation-pr) appears strongest (balanced accuracy $= 99.2\%$, $F_1 = 88.9\%$, $\kappa = 88.1\%$), but the counts are sparse (four true positives, one false negative, no false positives), and the p-value versus the no-information rate ($p = 0.0853$) is not conventionally significant-an expected consequence of the very low base rate rather than a systematic error. +The ML classifiers trained on GPT labels inherit GPT's strengths and the data's sparsity.For the relatively small 20% validation set coded by GPT, the open-science practice classifiers are less precise and less reliable than the Statistical-Inference classifier. Preregistration (@fig-evaluation-pr) appears strongest (balanced accuracy $= 99.2\%$, $F_1 = 88.9\%$, $\kappa = 88.1\%$), but the counts are sparse (four true positives, one false negative, no false positives), and the p-value versus the no-information rate ($p = 0.0853$) is not conventionally significant-an expected consequence of the very low base rate rather than a systematic error. # Tables: OSP Adoption Over Time Among Statistical Inference Papers diff --git a/_quarto.yml b/_quarto.yml index 7c9c0bb..7cb51d5 100644 --- a/_quarto.yml +++ b/_quarto.yml @@ -8,8 +8,6 @@ profile: group: - [default, anon] -abstract: | - This pilot study addresses the current lack of systematic, large-scale evidence on Open Science Practices (OSPs) adoption in criminology and legal psychology. A scalable, machine-learning-based text classification pipeline is introduced to map the prevalence of Open Access (OA), Open Data (OD), Open Materials (OM), and Preregistration (PR). The analysis is based on publication metadata and a year-stratified sample of full texts from the top 100 journals in Criminology & Penology, Law, and Psychology (2013-2023). After identifying articles containing statistical inference (SI) via a high-performing classifier, the author utilized GPT-assisted coding and supervised learning to train specific classifiers for OD, OM, and PR. OA was classified using publicly available metadata. Among 1,763 SI articles with usable full text, design-based estimates reveal a significant disparity in OSP adoption. OA is relatively common (40.9%, 95% CI: 38.8-43.1) and has steadily increased from approximately 20% in 2013 to 50% in 2023. By sharp contrast, trends for OD, OM, and PR cannot be reliably quantified. Extreme class imbalance and the minimal number of positive cases indicate a very low underlying true prevalence for these practices in the assessed field. Methodologically, the study confirms that GPT-assisted coding supports accurate SI detection, but robust prevalence estimation for extremely low-frequency OSPs remains challenging for downstream classifiers. Overall, this project establishes a transparent and reproducible pipeline and provides critical baseline estimates for future, larger-scale assessments of research transparency in crime-related fields. keywords: - Open Science Practices - Open Access diff --git a/custom-reference-doc.docx b/custom-reference-doc.docx index e0d0f77c7dc439aad6e4e598950d81665dfecdda..631d9114dbc8b31a5aa1af894b0194cba40d1c70 100644 GIT binary patch literal 21824 zcmeFZb8w_x`z@SIY}>Z&iEZ0XI-J$epTP!=X6zf z-PK#w-Pc-sU29)=D@cQYq5^>fK>`5*5dnot`LGlK0|8Y-0Rf=^L4MH|wgWhu0-W_# z-0e-Bbm`q}Z3qiMzfk4@efjMF{~rGre*^s~8&-i|5rZ#bydhTB3Nninq{2r;ed*V} z&Ot1n#VA&^ja}?rp7RWfNJ$p3#;-%RI!!*Ap{DP+>F)I)XH7-LXbPOv0X48v&)uYX z%Wn0Gqr0JMg|AzLt$_35!~*O>=Ayv};1ofwoUgJPq=WGTWOg1@$Ya{>gv zqC0H|>RtLv7b3BSXn54lT!A6i4Kumv&h19@3tnhm>7b=(GNCLUq@zk4dX+EaCfTPV z#ye{7&W%6wP#e4&2)R4*8kD}|&9uk}G9tlmi3+NEnP&YO9TpWFJ!+T$mP;f}57N?a z)ift{lV@SLF5{;XDS3Dm=ejLO^C#Kg7qmJRgN)6@ecgwm-a2smN-Br}#B(SXgf`C4 zQ}}4Q37LQyxN3l5SJ(sy0;=XVTIS&(E+Ry2dH?LcoAMM`xu42VnfOlgd5w3w#oUEG z_m+IPCFpbdq@0tsKMmG1*^2bV63_3%<2|*dkqb>S8O6M+^se`<@civvp+eYdIiTV>e%Z#;e>Xa$!E9t?y`RHn! z{6+WJP<(85E^*q!DNF3zc9QNDc8V%oLCTa&UVwliQ;GFWAh3d$YGu z5=pAjz(`HBh$(FF_{XrciEfmAYLWZ>QW#5Os;PNn(jSF64ysEJX+A7@=}ZfYRubBt z5EXo)ogsLwlUP2`W&(AoEOc?Py_@yA{VFGkEzHqYRCl!4HjE5pS@A|y(AZb)GbbK} zU8Muz!L(5MP~i+OUS>MTTJMJu2Ur5^mqeNk`a5nNFKFs+Kw+PDLlFA&6qs9-`F zCQQfrc2VpUeyc;a*J6Mc+N3yar{I#U0kG3LsHqI6m9i}H5VXL{LLuzl+8%Uv^5*Ea z#Het>IrJ)XJ2k7cax4k>>Qo2DC1%a2aQR7?)=mzOM<(r@$_oIc+3cdMf zM9Wc}Akh)x$A;o=u5t1Y_?^B-`h(N77>joyYX9&PBVVfHxW3miF52xEGIOzogxgD_s$K7K4~`*W>_wI&LEMJj9TAtu za~C&Ro~Y4T_^yqZR&t1QH{N)>J{O+X5W3rz!QcLrQ zox9Alaan}w<(JkPuLFk4EJGDFSD66Kh2KX6d2XTkg7Fevcn1HPI7YG!@0%?AYQFjr z)md888k6O!p-S%RZ-hTv-@1mOT_!K$J5AW-DYT?CHeIq_Lao|rQCao95BoL{^zyJn z#8wOf%6IaN#j`UoJqiJ)`*Y%6Wc4 z7|$}SOLZiljk?x!SNkc+Q4V>kI?>J>kiZQiWQkIdPq?Lev{JP9!zM~#OM>GTx)c!Z zGk56-K66E@IbJwHE3Fptl^{?e(Jr8H<>!vE_Q9Yl^;`Un-3-n zBHOZZLVU;Caj}{prggsk>*cZ_(oPDdu6}YwXug%Fb{%N=a^T{_bU7brQp-jVqIYX- z_Y7fo#=Z18{llfqr-@N%74rssRC=nM1mm= z&Ai(ZJI8;>n}WA1Xdf0g(3h4W^$qbF-W`iGh9hI^Y=Z&-;_JbIut)T>Z|A2Tke@bZ zLlHDxl6lgqymXz9{Dvj?_fv@X+Nt<;nh=&2R^V!fehlUlc=;)z&O=cjy`Cx`f90_K z)BKLM>62JR-PJlF1(xYt>pi%-pVQv}sG#Ha$5*^0Rt6^6t^0`#njm{a&2FFDZ{GuC;xu|1jq>cV170`3Z#deZ$i zfCN`*@DUG)gh@;)TX`?T$++s}2~f=mIS#z;Ieo#CR@BJ?`M3EEx?L_k(&-pWQU;M( zd9f?vT}5i?H7^-eH1LVILAz;0^2{$NJ|8H5r*XZJ#)h3fcXyM|Y!(*?68Nt@{2xO1 zKX>wfiC*B(JodBq|J{!UwJ|_1BVxPyiGWBahg@DU0#ZvuGUx5=ECS>21ESY3o4MXC zS1{-_p=$hb2a4-)3o~0&UR~*UFaNq~HL#JnDAGKs32jx3J*Rh%o3F^HX}@GFz`$1g z$mT}w79R0Ho!o}mZOu_k6q^X6oi1DGw*^ivBW&z$U=PVEUGS~Tvd%FgYHjCOoL-W1V)X|Z^t?D98w`8dFTlc46-U% zo_m3`xnnXTs%`~1X;kxZ9>vE6zm(w-CL&d9d9a;X7*3c_5YjcCb#++A)H7JaO4fDp zVC(ou2H=SB7 zck9}`=@Xsh8$c`Sa`M7JK&&}Hgyc?~U8{n^tq;zBgbWOgj2-(Ek;JC@W(M%2i^~?w zj!vuyxzW^xdSKihZ5dpH{9Vu%XQxGAeYSwY0RbWZOL&^u**OF3oK2nnD9@^tHOEXw z#E?s#Iah-gSCd*}9+@*4-7~ohZpmk$2*eO5?kG~PqdC`s5!MzgnbBZGp_k*O?=Cy< zJHyQ8^2u^w`mLK2%iky|h^3wY$L}61G3eh5;SP`{K})3{L>gaepP%>N5&MNO>0uY( z8C&4t6KFU3F|i1XB!#dRIcUkGERZsBh%u2JvXCR-g+zx5Ja-Eyk_lC;HLiFLJgYXK z#be$q;(H+&o4Topq0~a~r(iFwhUr>`Bk6|;fCBKI^)T3eVzUXWsY0;gfqqfNn>}Zo z4W5_?iGQWH+q{MvKs4CIGaby>29XDAI(uXF z$!^;$FDj{dQf9BU#0=~!Ws98BiV6gK5;#L5cKydNuxHA`4gBnBy444@tszzjOKt2c zwF@mxvaihTAYXwcQnV-mly8kDjiG(O6byo+?ATAesb9(I0(TalK)1+UaW0_ES9GuiCwoJ|V$xOMPIOl<3VpcZ9klloiC ziORy~(Cc^&(g|hxe#m%a&jE0@!yAn#U2~=938eO}WuyhfJ$X~l0^dAa160Yp+8~do z!rkR+gQO-Uu3C15c9vjK1)sU&{N<2<*Lnq;nhT_32U_?9R4FEHC`R$LkvCLN8K${F z4@mvX%KM>l@^vulpIEOW!jWl9{k4y*3Lm2Z@OPLeSt(qU| zcNnU-o8ieGBQrPWUajzb{4shjEWR&q3G>&~#{w{Q*DG1fZ5Q~$WXlI?V9n0WDmt<> znH9bxdmOSmv^S#_8Jc#d;e!+Jm4nMRkPZEyzsS)RRL;xW9Ge;`^uG2*H!=~peZR|7 z_x*&)e>)t0?AY%kpY8@S?0;l%rT~+FgjKpaDN2hQ#U=O?Au?&G&))C))2lna8%_Q9^PpUMaM)zaV32!t!OsP}9 zt;_eETzY8+{07oIV6M@#VAXrw>+M=0C`nugvjXp{Jsx^O)gKrU{{X zCq{MaRKG7m4zhxK;WPB3Jhtj!HIQUwB@)NtFh(K(8eTrhMqyJx5Z5-ffRjEh|}0TmIotp|3VSF4ho5h z=^qr?&Z_jg84y{7{a`Wr*3B%q>S30C%U-(C+>OE$nZNE!uh>NsKNgeX6LUYCeAdgK z129;C^3@BvJxp?!{R>5p^@l<`&9JNix8DdsvYEf!!$7RCo2KHAIe7Y<$Yrg_CGj+o zwq{-+9iirPNdj3>*Y%1~VuaXm%f32hgZ5}z9O@ZN=Q60Z9VcF<6xt79^R$-vs-fZ+ z%}h1I_&l<20dm*!>7pHS(to5UybG_0Ny~IAX+#k8~?$uZ}Q=6f*5OA%H z<1|7~+#>0&w<%IXV0%lShB@xiw%~N7FVkLjhUV1Px%v9H&V~Lw#diE>+|NJ*0U`ct z1F8 z46SoCL0jP08gmMKaB+CK`l7G%DA}fsH~YBZJ>pM<%V_v4KMVNs>e+ftX=G8Pjb#De zVA$T@E_OrPl(WcIK~C5EDMXum%&H@hm`Mx2WLo!xrHGZ>XGr*)WH1ZONS=U-3SuU) z6qDr-cB|z&`1B9fIPCGpq*!=;F^13~PB64R{%IVPNW^i3ZX1$k0S>vz2pw8BU@{NQ zr3y0bhz_X&C&6(e@!|G!fmex@wE8d}U3k_E-!e|lC~aG51{YAG1Y@&P!%ygcXPy5Y zsH)bKA&SKl*sRuyF>Sww1=U|w8Zpv@*)TdthEkstP89Gabm(B~yRgc0>|m;oPz|=f z+Z22bK;qK|*cew1J$`52l2(GuSevz$P=@zO`Zx6UP*2m4Y=4g%22hsX>U?i|EvKMzO)R?7 zk-l}ce^;)pjY3;|gt9Wft9@$l(%^gCr}pBm*4AAT(1_lNO844&7Oag~jD0a}Ybd3n zZ#mzfI^J^T;$4G*aQ}@Yyy=}x{U(Z4%D=ji|4hV@qRtt2;q$lp$3lj9s{J#3X<+^< ze3}0dzS4GCjEH`h$p7fG@G8eLdo)X3_d1~mBK?}3+CRH|ZEOChpGo6!5jpjXbgKuKx8Hpe zOj5@CelFh&3rT4>*u=yjEfbVt?%1ZnkhMq;G9Y6_5=?>$3Kf{3dADfHl%RwfLkchK z|8Tbb-h3=NjTfjX3@nml9rLZT;bS0?a)U@DJtZb^00ZnRy%jSioA6=<~w>l`1bW2xUN#kMl=lb;u+Eff|nH8=s`M)%dCht7ibFmSffmnn*-)XG|3ycUI z%K>8}9x195RE0)dD+6^tQ}~aoY3PKT2tuHVtMEJ;cj(eXakmxUYpTK6-Xnc%e*0d^cj zZ~Vsi%Cz~3PRJXVj`>$8Adz`qcx7Kp!~DF3h}ZJdW|fJWpOj^h%_x3v*3r%A_Pxmm z5Jr)zJ>pwYXgsdjKiTf0D?NV0rpc!3I6oUR`Z5c7k@kBk`PBW!pmQTA+Cmtm-MmBx z>ax8p;XN;6XC@0P4FivHZv%lSQGnHWUi1`a-i8|A>@7LL{1ByR{q~10>p;pP_^XOl z2l`4iLWETE{y}g7U%p$fs_PrZ-wBjRGO*;R&q$y8Pon;#^#4uNV}PtrhxsA-89vP0 z$l!vKMbkNnx~;;Jpqt68*2s8_-RXGlAoWAg z|8gd4IB37L*En*pVoZ4S3efNi@Z4dsiw99|9G?D+E zcK*d5mah3^X%Mqoz$Z)F{eLVS_)nI;_yb6R#k-UrFieS7TK#e}v}3r- zy=s7DNDj8q%2Ba#xN#^ipUTKS3T&O0=?0^lcdXr=|u5wZnY$p7&z4 z3a+Zaw_t(-t?($?XPp($1F%J--b$WY7P;p(q>G&tqg+z7jF3> z9&QtUk1UC5wRi}s5I@t<+2L$``7}`eJ1fkxQNoJ*dv(n6U+TE489afU%1X&Ll3Ud? zef1oqWe`;5e^AHFw#?~viuUIuvHL26nm)?~xdQm#*@szD_Lz2<&9$8k!8b1XeOh=# zEvxuyCuNT_w#2B$01MPmBK|-7RZNv2$glWl$Ro5!B0nwTJe_il% zW{JIxP1T+t2^OC9z_(=jL%!h0q#;oBXk$BO#EpdL?y9i>Nq$GOTYh99V_PFlr?o(ooC;c)z^eB2K;td>vd^P%lKMfL@71x`A9V~5L^CS(4|Qy?`l*ghNX9C5R1_Vus+?>X z>mlChN+7}_CBy7zj_dP?x3y_m(zvs}O-nn%I&Qi~3bI6Len_Nqae3$mGY#4C&M8&_jKgd?>VT^GK zySav*hOTSq?R@<|L~m3)%;^7tc>fu_E1%ZjC-MGe4a)cbax*kKB*u4jT(Zo7PzYko zkO+$pO8sQsW$jg11ARhGd;Yg9I6i(|P**t>OY$Gpr(2%ig;|J=Q}CKE)~5P4R=+j$ zXh!`UKU(ZiI_E#{^l|4E4_AcOFz4nzG&wC9+(Qz|C{i)-X24Wb8tY$2p^B417Ng{r zMl0;T>2OS;kt|!RU0|7%(`aLh(HWdE3Z62s@rMyns)FrshV^CM1Gb&^fP^;t3|Lv7co-n0@cQO@Radab_GsTx$hI97TbmCNZ3L%?O}$JVmFDw0db<+?0x? ze(|uNqa5W-iPrYo73B)%#YG(`~tT&C1m-~-d z|Ckw{mLS!l?Tkvli3y2CSR{U(6eGRl+7xY~oYSf>OnZbL?9Hxi@U!d)@ukHX`>OO( z{nY)xV)uBhzrBPrRE}Qa)^WV3_wrBdax3`DVF7yvi!=#y6{k9G9Q=vh?EYY5?Si(z z8+~|~NXjATuCM1+IUJ#~m=_z4X#CkFI@P|l*gaS*?{(k!?9i&J1F{=<3EX= zDpz|34TSp)l<+2Agnp94Nx=q51woy$d+_ej1;^joaY^M$A@krsKtqH;KxqH6C7dlx zZA}^edi~3rIMdXQ#Nj~oVYn3tb9d!sxqn3dMc2tL>yj9^QFN2O19_4Zl@^4$;wC^x~^#emi6|ZLAaODu& z7pZW2TJIYZe~<-K#!wlCO0hAMvbr=~&12~QCNkUxO~@fROrMz}an|Sb`%1s}b;{u` zS9z;VX$ulbkw`ls^QcRQ9wUv;i*BfQH#(2!o=4WMP#+|0c_5nS!SIs&VMN{Y}=$R641z#troNS^&m;7vA3-{WetD->WeCas5*IWScOL9 z4&Nv_a$YtJn4F(Ru?2i7@{&B*zCnEA4vsxIa4lA>NhceLb>LNYKL%PhuF~2Ax<-`>^Di`|cY#goBMWk{A0`KgX69@?`|Q{TtLA6`Oe(e>mwL!)BLIhR-l*Z*ETpe zShFQ9hDACM-jCEo&Im$!>D$D(K2T~b7!O)v5N~5JsD^Fu;f7sZ^0{ER$M@?T!AC|T zX@9!zQ$-sf1WGcH(JJfK?+4V{hUr1~BP;b$ZE!o`wii1osY7EbgM3ZpxMIV3?vWCy zeTZZdKx|?dkedDcz00+yz&XsL$2xwojF?|-*hY}}*$c`MTO*8*QGA^ zqLk~_z_9(p&BHxjddL}Yfmq6T6B#1g!*0YlQ9ae=k7bEE?~v*lCXEm=i%SxbZK^CH z&v8WUSajE%jMwd_QvA!!y4?%i~m`g|Gchl<8K)Z+vh z=txjrVAc*Gk&Oe04PpqvUz(h0L}4E=h^=@m>xxwY0KjT5++B46#o&k&b>7GK>-f8Y zIXisq+C$~@W&axGLzUu$^OF+jX5Behs?43{t|F`+Q%9H)<^C@nWft_*86V!F%8j`U zCuxz~2L&;8k?sE6C6v0iVAIbT;@06bmtF^Hal&=P7P+Sdp<^8anZt4$(?XdvC9Dat zPtM@Z)RM0-C^;sTQ#H93y~l>oM{DZhcU_c`1udS{z6lz<`% zw&2*`>LpM#?J9M3`~mZ)YGpN=OQ1<-V{w$SW(gJ=5)Dh)Q$+ddF7&jm=;(OGoe9D3 zqaDNu6hI5XZqwtKBld|ze9AtfdrO;quJY6=m%KHQhMaAGg0R>*}f2_Q<%M~uK)Mbrgr%~&h(3-K()Qfwx;fz2OI=MZVg0VG3$fH# z>*I9!v|x7uoRZ?c9otc|^$^;)Gi<$(@m{8S+JN)6I&ByI+9@McE%}iTBFDOn6D5`? zxxJ(%9B$qEmbXa28q%m{&U;0%*}~;W#wj22aB~~KW@J0v@%N`vhUPJW*PuW^{_y{C zD&=JA>}&}z|Lb(ONL|tC7dxWQrOXG&?x7>5v5ipdIxeFAtfXUlTmy@DqOCt$9ce77 zaEsiBr+R(xd5})uhIHKh+M7$G)+IH80N-4D^MDZYq}k+E;OQ-+w42nj*#R%V$Xoba zB6J<>t_f|K^T9Ku3h38Njp_GnKB&=lZuL=q617Vb4^lgN#)Sutt-+ga@{~{Wg)T zQD{#r*c`FMSR!S6e6;X~#SMC@jA}-2D_}eO@Nj`e77r~lh6{D1y>1^oVsT@V>GAoEM)QO;Uhc~ZaN`J z0u61qN8~o=_tR&18-<*jh8)oNO^RZbEEkdKpzd@uxW-|HF`E0b8|x(IC};T#%zETr zWQJm?(tHxh@b2)6f_c0bnl^@&wQW3P3lfF+j%r71zOM4$d4-&~+(QzqWpGItg<~W` ztH_di_`t{O%o0iQo5Wf~2lz_uVy54_ccCfI!GiSQ%wLH6##x`c41+Y+9|jwLe&vDO zi6lHG!`Q=FXBbrnllp3rEbf1|K=~0KOg!SM5>D&bV8@vneGVqG{+6%8{hV^|+mHwg zpz<%8zrffQx>~m?eod(agVh9P$*b3J`i`moD0hT6Kgk!;L!ZRfLph>mAE|5m^_%NC zLTrRAV_@ofT5%0KgIlYT^c+)F4&;QDDj$dQM&I33)+EZWkW!5$Nvh!&oCGR%@7sKJ zin}tB$DpT+`tpLQ6JVte)xjam6uBny}nk9*aW^eBbhhNY9p0 z;p(4G3|9rBXysx!{d_P}1+AEEVVA*U11n4>?U21A15Bi85M%p_q_?lZo~!}WFongw zu$+@g4zDh>&_LqfYzgmf zF!wKLgj7iipi36OiR@OLk7Rn8-+Ti5OLnT+`W2~I+XditJQNIni(b{2P2)9Oc-D_3 ztss?rhiV+Hk5X5Q?LoB_B$Ms}1dqrhB3jHUsA-t*VYBhU|9Ic6px@G|az5U{Q9)G& z8_L`nANdAqmO`~$e09Q+>9)I&X3kjCI}T3vOq-|6fSqn`O4kve9F3iBXS#62HddD$ zjiYH`>W@|JnfAbCD1XJYQk+ur^Zm-fV`aNWL>1X21iHOy5D^u%2J}uRq2nA?pwIYA zsYs82GMFS)Kh!aFId?1e+^A@(puqW=`8pH3=o>LQA3n+#u$I-imUM(J zRsTZ~p;Ib@BuaYP`?j8tch>!pWFPLQJCSH1-_9&~YBw*xA+*;iUR=>m4z5#QJ-LET zf|#K|`2``M!US^VzS|Ema1eQbxOnly95t^CRv1 zw7Y*?^zrYYX`?`ee3rmS-J7;LI#rK>5+xr58Gf6HP=O|6f96Jm4WB5HfLet~&;Lw! zpDUAy$)tb}(Qok70FlxNyB6vFp7!kBki}dn8Mra9A2!3VbTb7A(Byt!4YwZ@cUHqsJSzM!EvL$H5TE3gZNeUU_gQ>eKx|D)sN(J_;3%LlR)EdvPo=f|h zl)s%?v{|R@K;kC)w7EpFrz46tuWujCK$(ESE8Va_4Ll z8-6s3cB*PEunfzLhwvv8qv$saRE&2yOgBupA-7!w&RrhCPFZV4JK>F`%4)T5zusPI)AcfY^Hmx9tu1d=E9rzm30o(TLsCx-H*iTr9I0~<_( z!oFg-toFX%)&X2>N(I?k`9W!JO~X=6iRWM@}-S{gh*TLHJPuq8nMK+v;e0{4ch8jbB*zzmGnj8j_mUdWy2=H&Tfl%DNW2ca> zZW7{%;wa9n174bVk@R&-&OwH}f`(NaL|+af*qeP4RPQqLE}}4Icq7a0o!&uZ&`+$Z7W>~8aqTD3jhm6$b7bZ-KKcfl)9 zrTq@-qZ2W@-=s%HJagY=KyJvToi*|3@aY=&w6W7-j|p%936zROZl>JjCdh3q@j55Ei3a`3TFot@><^R7IuGzxE8t7Z<0CEa zl1D)>#R52^GPe)I{em{*P4p}1mQJKyIbd)wc8jJ&Whcm;wNump88-w%fil?17snjL z8sh9pA(q?jvqwjh+lJxnqb31*1cNkUraKkn5Buqt{PeRcuqPQe8&R9X)fLcWO$-pm z{3Y|%YSWnx&kfn27#pFGkIk}K@YL0Q%Oz3c?L~spHGX=Cug348kEK|sP-x- z&kxXh`e8?F?m~kmXR#ievOdg3A#%cl_PhaOEvJ4ss*%$i8wqa`fE(FuN!l*QN5v0>rVCjE$EU#t+T zwOJfXIkAxOWL#|92Bh+wW=l7%dfdeSF5o~(Z)Z*4BoUx2sFx5||Eabp>8r-Sl)lf> zy=%?-!>hziS+*00<8A)%fSUQJw0hJEdPP`In0~VOFkj>HQj6o@XL%y5V{m_Vd;Uu>ugq9KIJ zfQy1kG-Tnr$yAIMuq2EYOx3~{{yid-%B1f85S^xQtQwi7yM%bPyM#(j8AJj~wl3py zjk10#)`3iu{}`dQiOGaw?F*=5Ze6GTYYjM?3?nu+zoco@%5vbAAgL;D5Xq|6aq2qk z6+alJ1@TgiL&E=gjS7~y{)(|G$p3$qfS4F^DLfkVM4BIhG&?j4 zaSG)uu;nWq!hNpBSg=)s62!oQhLmOt0Q{sUjKW*2Z0TD@&pLt<#(;M4!ZEZAAq2g* z4Pp_-UVtRzPiC|?T2L?uSy1RJD_QG>P^2UITAqTGr!oc^Se9ZCqD&_YSE3byEylLd zC=h0a1uWGV1yrmhhAGkr%93S;WyQF_JkMCMUk>}v20tb5?Vze4EV)KlwzSW7%!OO{ z55dpr6e>(XDHoV~2`k9bc2vd`0?SkKLlkAF^l?T0F{Pgp9SLlKR=~f8N_82=6lQ=g z5Qcy`EfdQy2FVTw5ZTzH!$OEi2i$dANPfk{q#Mym&gv^5i)UpEpz^c=RsOFJ6(TCF ztAcP@X7#yvt%al{8?Dx?5?o|TgUaVHw$Hc9Bds(V=0)$WdNiXM!#=Nzim}n@EXzL! zT2&a%C}I3ZAAgj3WHZh`^GJWrqon*fPixs@CO03i9x^K&(Dog@?Ff+qaU7HH4$oNX|Kli=H^yR+?^(zenZp<5H);&rOMRA z6QuDc&FJ5;tl%`rDxF0g2k_sI6U^}M1_~?fwbUPNcxxp0yYHD=5ZJqZO!IEbA?x2* zlXm=$^6abk8O+w{tjKYA7&cJy^m`>*u{7hJ)`@al_mWe46M2o|knW7?-1hZ{^j}MD4p0Ma@18;Uago zqfRC%ZAYTCDRFw1C>@dH-bXTUQ_H06)r6x0Xz8$~l9jgM8)<@X>{OtOn`61)mnpW^ z4Db2YnT=|evD?;70PjztBQ%F2vQCniuWufcp-M{dmYosf%vZ-m%DPWkXCGG7lT8=X z)op@Algr<2cSSv^d$4Hew}PS^U-xZgKp(pGpNFVV1zKUDOZ9i3+g&v;Oll^v3+Rq{ zIlp;HZHdlFZIQa?h*-TOZMGnWDZSZ3Qp; zy-nY|P^+-k%n#ho)tcHzc9ZgKL|DvyBd2lvwMLVVU2H?7Q+t-}OTShe`7aM!VdP8H-IRJVhN}j(Lgu%lP7q#$q zGHEH^GU&ueH{B~(OsbWz`@D%=Laew3UFtJ?e#|%;&s~V)JuI!Ty#Q1_P>;qyKo|GN z9s1Jy8~LOf_UlIlFYU#p9JZt{6`!%d+^8X$M>N%Y$YGJKUQMf=6mc3vf>TWyNlTc}KQ=}a4N$bqX4j+zu&vv4)?_8ci zq|;X(^ZHFffB#fpU;ip}D6lOv@tmHaX%@i{mxG`@#2W@|9+aIt&CJ|94jHQz!bF_Y z@rdnxh>2S(45I~)p2D?_k2~1IM7+!3!452k#KWIgY+;#B>;wDjN#XWP!jR*-u_#NE zJa{T)OQehI8cv5KVj0ebPV_K^>KD9E$=iW6UU>`g#~Pu3GKpD2K_{H0&yd{lP7Vq3 z$y$0e9mI8Hc;@Cdd2{K=4|7(Sj-_!QCIYzD!zSuqLA;}L`^B~id!!5b<+?Fe09sh5 z!JRe<8a??@YO={^F)sI6RZW-O1gNDqJ9Bq2#Hte-4WE|?}7%$en;MBK2uB@uai6)Y_JY%eJaUR-jO-A4}4kFqNq0Kw` zlp8JXh`PJ4N^fH#p(XcFEdYZ@FW)>vWU zl@&{N0E?woIbiiBB#)TG$T^m0D=Ma2=VNPHc#qXn+jgfuUKGIG;!F!K!JEfu`V`?iFCNhTOlmAX|=@bP(X|9@8prL=9t8GKgNqklT|sQ=1lT}_RY z|HGiqniI6^B}4_4QW%##-3aD&}=%Zr(L-RLDZu|a)aBh`0!Dvto&`{N)_95 zIR=7Xc_&!82T_%1;mC|tN($VkDDh)r^eLz2n&&%*7A|MvT_)~X(yJ$Kvt zagI!oiGGfkBKhH)SotoR#lfIPAQXXgL&g(hqjp95#`!6dxGoC=hmxdk(HyI8Tuj{q zrAA6ZAIo(I`0kpQl^_^WbfwApq?S|cVjfzfDEwsboyE6n*2IHe88eQ!l=XtX+1Ng# z)(9=?BKcYN*%O2`1dtMr?tnhSw7N4`Z0463)V{2Nf%t;M*P72Vh5Nv;t|KgfBz!P#kE%KpDml8 zzt_L*K(o)kAyP3kvN8Q*2d*dU+O7Vnd7(HL5cz4h8x;G6T7`yg7U074O`w|-zV0M; zcnIldOx^=I8n6-Mw3Jn`95t%40!>ZEEUDX^NO=+35!&aRPRRRO%+Ilbb1 z=Vc|2nTlxkGBnjX)d*zzAl=}m5R)horZ1CCO^ZvuK%EZpj0L4An7NiWOf@@uO_d=o zkhxm@4i&X?sN|43Az2!m0kmsuUjq*`rH#B~SyDR?c^}XUn!)I!1E%pJGxFJ)lL&tl z%Q+|UrNcXbh3{)8LC~<+q4#5?-DMr2t2-C0>m=pxj`^7cp{IC_VZ(lh*kxQs%Vp2p zkzZ!Maz&*6I5+sV>b zxqU^O_Jy8vm=NiyTd==qfrX7?q0m3ysS}oO=Gw}TA*S^(qVgL56|Vi8(>RatiGSOm zdRjtW!)en^=Q|oJ)!Wan2;JnTxYp>`iVX)ix4*2ptR?PuBmGiOsp-Ah0Wyo^_w?0C zxt2<7S#*oRf4Ae`${CXcXHGDzGhTD-tc1B`5_5Tn^7?xduKUhdQkc?v>Tu4dnx`lJ zobNN4b6b|P(OsWO%hUgV{)g-uX$jBSi)-ipFjlkUKiO~iJ}2POsV8^p#3~j0Z2sHi z8@+x0w)O0;U_G}b{||I*Yq*+^brkDZk^cT{V7}i9Olg9^ox;HF!2w121;zTw`9m(GdmvNgzIQ?gRFl%84X zb{YQ;-*-b-CVJ^kMaz9bej!(GOx-*#%>T=vm~JOWjv$(;za#Fe(CF|LqK^)EXL+5Uw%Joh=JqDutpD?TnH4*vE#IE0I=)%> z@UI&$o-o%2Tw8PLq=mPz$tAHYO9q}HD$b}{7_8f7;|O!$A#$^U@uU!L{RwX;k`#qOv7GrPqQ zzdQV-dUv7Qeanscec#^A=l&0DCPAufMkZZgg9-b&fslwnkXTL;4Dd!Z0QGb-gjNQI z+rX(oq_fJ`*u%li?!FDs$A9K2i_-EQ>d)d<}aRZ;B5 zsvCWUD?+!A22?ltdRKG@psx->7!j-wH3E695QcWNxpRc}5)-I)l$msN{pgc<2>r?y zFzew{d+3_c`%VbWAKjpu(RxzoCZM ij#|YcYwz|&(hjX~1H4&*B?_pUD8ldsSPq&6fOr7SF8eM3 literal 8916 zcmaKR1yoyW(={H7Tan^k+}+*XU4y&3Yk=bJ?(P)#Vx>^rp_Bpzid%sn?knx>|Gjsz za@NU8_DP=EPxj22ttbNtg#iW&3k%i~9HRsFTfje`8#n=NoEhj}j@2`L(gT7hFq_`F z#_8UTmNX;@MOai96ljEoOW9;mOW8oTiqoS|m69<74Svu#L*HP|IT z+?`Hv*+P55_Vhi#Y`*+m4Gez=V%ZhT)>DV8Ak$RDrxfgkNGjr}5rhi1)xyu4qx>wz zKJpkU*g^&X+b5)gnsdzD(Hscz_OJa?jNC5cWQj8g7Va|fe8Bu4LX#2-0MV{L$ z=R)6`-e)mns1=*%F8P2f$^c+@ovuXppVvPP0S2b{KQn~-{0UQg6GbO`2WJKodnX{h zhpmmTvR*7YF^2E8hO9@fQJzkv>6p0Q^#?gwyuwq&tz(Q`8o}0CfBU?nHtRPAu-91w z?bl!fM>cZjP)wF5EfFq!R=rZSO_?p<4m~!yh2+Nisf;><>9~c3TYt_GK_>F|?|p+D ztRiM>WTR)oX|YIkHpHfEhon*7gKS&MkRYrcEkAec7aH9#hLF8~WNV2FMbp|eUJM&T z&8AD%r5)hUu*xHYfyC66Pji8Knlp=F*W*)6Hu*RRr>$P+Bw*bD5cZM)tB^ntdg*`wriB6J=(~bc)@u-{f21;p0fa z6PE#kf;Zvqd*Ah2O;&hS3uq~E{D!M{8fVaXWGwx1-b~;c)9b!f3DDHYR-$9b`uh@y z2M_VcH*jw0<2m(DFolO`(N*FNMi+GN+dVPA8!Pfic+BhqoRl-^f$7{w{*Msp3h^nz zQYo(Ny(10k$Eq5^sRoHpfARK62?g>52Lt>1kG!G$&YO{g!wYTM%H#3_j3}Mwuj7Z3 zIUS|m#94<3W}&E(@Y>DIud|AuinIuAohX%A3?#2iO?{t`e*e>oRpcs?*ved^XaYVV zKUv=Ly-xhz)o~TEmaO4xgsE+ij}e*1c1UgTId;NuT8vqpqu5>2Px4}=D+{8pQ-%1G z)9r>tL#v_qu6m{9>)f|S(-dQ%f)Y-OCb+qD0qlgXon7<0+HxnSWrpr10|HXiPO%+; zm5)cm588>S<=mgb!2VfnJJKW7vjxLqPSKv$1RC@>GiT-bY^SG z`sckR+4|GIu0q+SvQ{~*MsYotikiIDey(8hhUyAz`uFc#=ai*OIJ3>=`WWsDBO1n{ z3f}rb_3(9v;fpIdbuipi!c&8+`u4lGIryOBUWs5-QE_E&;apd!Jbe)|#)#S_oQvMF zhOL9&y#HVg;uVyS^(X57ixCV14}R5WMr8ky5%k{~F>!TvvA6w;l&N~8AVw6h>9tx5 zyYPZwrjUN)Ed1#%Dgdjcw_GjCjkk%c%QZk>f7W(A@-?~+9Naq~G(>QIUzk*1Vb5zU zlq^^5rosR?H`8y+BF+jJOu#5w_7e!2H0O8CNj7E|88RSj_7ibweRFy$xrE_QZ#omS zc*AHF)Lc`{wq&~_43PNsyT1B=2%PX9`RErrI?aBTYHRQ!5L@$L0V&Tv`tFBdoxY`2kTwa#;FHKDpk{M(~2|c-|5k6)=s)&-D?JBDSFev*A%9h$L zlA$LkE&DUHslBhmMCO~q^*GsKQaJ{gF98Nkr)Bg_xy(1&*oWN{dgc{0+ zR2GY^_;&^ZeX5_k}|wS+ymz=BV8S6LP=WIHW|4pRTa&+%pL_4HNpmqR_!k zg2!Zzk@sQ9tq1==2nhN%mm9EP4bc+uCI0K{2T2*awJP|na&>#muPBL4P>$~pioxPf z*M6!~0ACrkQb1g8n&JDzP}ZkmvlnxE4;-Msq;&pCcw@c*eo?oqzP)?z5L$JK*(6`^@ju6H)$p|}MxLq3>bPa)Gg$Yr@=#U{>bzkV| zst!u)W0p|mj>=L*t(&IfLWG)7L>d%(M{FKMeg@INYbX^&T)|*x+b6=2*Z_O?uv|6* zCyK=-h5a!QgKv1Yo2k9p_wu37aCI*NEE4B64t`F#Qwg>aK#hNf5Ct}B)W zwXgpsVvFP?vtm_#u|U{WU}Hm_#jVikZh$~aXhIhlnnapm`{(=`NzVa7lV)HuA;5UeZNWu3>%t$0b!mVdv@8CX`cgA}^w7`*IGR!qk8zAc%m^n$ssX!|PgdF3^ z1g&;gY*uvlbj%-lR@T5>up*0s6Tz(okp|wNJJsUPiDrc1%dy4Ed5alw+-l)`K;N=2 zcR}1LNy6EoL%%4$TF(Hesl%8TUlCnbEdmYogiEGuxKGd_okup#@h<7wV5d_47g5BfF^W zJ8kGj%JvzyvhHze{|VVpT_Z-SEmhb^oN=20Xk1=7np=j+Muv$y45RQt8G%QN>6mt? zjBe-#TRHk#hUtK8NX?vT*p{m19r4hdAJuSnQJPE2b_Lzg7i?wOD;dW*DG*0?aavQc zhcg1z`u9|0r!)-rH27OEPD!q}4d|RSR>JZFWeb-RH#tM&T-sUv^%_c!7^yk4KV3?2 zHu*+8aa!PR#0C9H2*4wqftuI*1jF;f_jllrQ!KoVz(CHvi%(l#X{Yy#?(TpepEB@< zyDirbZila}w;hhL6O*Kx*b3a3S}6<^gE$Km1>kB{$yerd!druf4}Fo8S)oIvPqX{e z$PxJGgIjhcGAqd@_eBf#Ij4Vk5@X}U-zkfT72zjDiiv;8R4ETRuwb12nChhUHvH<< zJ%dFxtn>jhPP}&)iN+;Md3_{SUilMLN>!4aS`gM-JL=MixR1SxCPU+#V}<3HFp1^| zq!i@i1}%G>lWt%aI;JFNk@XU#aA?iC{zhXCa}B8HkR$bX=}veGI7|d#JC$CutJFDF zLYgv`c?UINtV`br?d$H^J~q||LuJ@|U)#ovvphg-un>^avk%VFs|6(y0ZF?TMh3mU zS;EAj4vVyws5)y(cy|zU7Gq8tavU94UT$M#R#esEJG_3U#RgP$5_bvQ&X)(Mq2z}+ zVsxZt5K5A5-+dhlv`X#a5ieGxfH21E;0QGp7Bb~ft=b?Z`V!M?SPcuBW;2Y9-~hKm zOj2*@t<7Z_x-MU&Clzd507mHhWZQOFfk^OnrlEftyES%`2(^(rA9B@=VZ&BI-$#hQmLZdi`Xmu0W$!TzYy-MoS)?lEYw)O4e!&w z>*KhMLqFjS%v+r}&fwAh>fYY8!z7Nf7m(&*k?t>4@R&MEYX@e=VtU5N9smgGRT&=Vf62VGPB9c00)fLYv8qZ~h^o9By_eeCA41lD54`tl;XZ zq`zoAPSKLjn7PX>NB)n(JG*$=0G(fo<&mzfb0H_%qhC+Z_I>mQ{tDZK`gRqKO7i$b42yRzbW;pF zkz+!{&I6r}tAN?lV)9^AUjSm7Bie>~g_&$+sLlg#Q<3_PLQkhh%@snli8Mmjb$z9^ zAgz^21N#MGY!ouO-VOvRZhKNdzJ1_fkI&;s>11?NHN39(scyeHu84cc5A$rKR=gi5 zPm;bw3_0%$CPae#i)_}G6wU6VwR^cJtUn%IykB!15lQ=YYU?$y8pCVDG`278(^R&Q zU-`O4aIIqYpWeV^znf*6msVTfC5ueK=WYu{Z=8nf$fk-5a;gxDnzP43*y;Ebv@ z!c0WyN89+7k_3HaaT@i$t}_LnCtiX3KIiPZ_A?fs`(wcQq2ToU>Ju=j?HZ z6T8GH0nt%VDD?>G?deN(9i{W=i!y;w*j^fMtOpK8Qtc5`!iL-^b%MfA>TDsU_E7;V zKkNac$VgZ6kF}vBDr9vQf+6|WwZk0^RJI{+@_rWCni(Gk=if)pzqG3#+MCJWF4t3(})S?mJ2v^#}r8BW4B=B)b(T&6$P@IL| zG``eF?$qMXIfXeg3G=D`5_>ThLv}9_^M;jnceYNCA8`Xcm%@@8QD&c&lQP@k<|M0C zxCY&lg}QjMOm8`wK8}6h8Y5JmY^*Km?T%X{v!8+}PD!NlSmLJ@I0guP96hjxK9+fB0f}yp&sS)!X1v!?=C`CxoyE1~*#ss6Ob&(M?VqVu?*oh1X(4>Abb~<1E2%f;Vh{6nNvOL4uXqS%&m_sOc=8c<93u476wNlZ}(#bxGn z8C#)0q!~$I7f5{MV3*yzQ_;qnAB(9pL?)@Q1LhM%Ts~zJnW{`QRlJGqP zaM&pDP9~aSZ{EnLP8lt(%>yWqh0i|mS(bmD9GxZ|KVh6~O1rSLQ((H+FeY@P41qJh zGBZ`DQo3Hr2r2bSOk4g8S)(tT4apb|5wFac-vG#*=f22g*P5b~%ssCKy{$n1>+ z@ym$LGy_Yfr1W=*Ex7x=C(a91`bAL5T(Py~Lq+P?*xcXwNM&aYsgnsnzEL9p`1GUr zLzW05_H|l7CpO{ZT75DsNG<&W?%MV?4mb6jq^&pl1T*xtI#b1fou_VKDx0y9jKU|~ zZd{8)fUwt zPe@KR&k0N>eTj7UE1QCCPxdsfJ0q*l*^o|F&jIN-zZad$;7oGSTbio7Y@$ z-=XyZRbvnw`}tyeAlVIEO~jn$p|{2ZGA?DgxDY8Z+84`m`49J$2-W;E27ACTKEG^h zcff?SUw_F}g2l8$1C1PJOo`XNrQ|I#p)3O(hbe^&)0eXwtwp+Hl^L^UpWssqrfSV` zO4A=3G?k;1jS#GU;vdz&3kqFb*on`3^K^9-d;JKd8@UyOz- zFD@U-!!65ELtT#DS2nBNB64e)^p6ipzCP=widHR6o~ZLL#oc8t#(p;r^3vo;TI&7$ zF_AnhRH81eN~CnGR`QU~{GHW+exyFs$y5^S@+sxxt^Z38q>%ECas(C(%wF-IdLXp_ z^gw3z_AYkzF8^wSiW5INtq`FMpZLOsy{G$-=)(P`P?vfCV!nJ9(Cb0Y0-XYG`kmhw zp!Jl+U7e^a7__$0x&d(*Ua0;BY)XbT8go1gjS<3qhBf-p$4}cQe-L2jrkf8guCTc; za%qV_{)Pz~Ve^9$&5n#|lWWO^F>=OzXi9(n2sbU%0otK9+&9W)b58MV;zj21yCQOJ zMu}=GmkdCU=z{59k_1LI40?lFj{g+iTLQ8-J*o4^O#?j_$l8dGr*#2ny38h}HI*jH5O}H^wt@(~4yI1b^19U#j>BQX`uGa_gf50_$P4 z7JZSWByFo=VQ@EYC(wY2>1IdSN73L*`;DpX?StnpUx4!Y!snTw59#$ame{|!~DM| zOuuauI~P?WW1GKb&|L|AcKwV9VJF_8x7YFgMj0s3aw0r(cre~zD!Nuw^_8537e|!Z zaTLRWauGVFJWuBL*QPDV>)#ovU+uYZj#dfLn~HQ!9_<|*oi4qR>&5-ipSFTIH&ue1 zXr>EC$#%b~H6mwMnRHO^tgVVI2v8rkRbB!64!!H(8+qV5-mjqOx2dn2B z8?-hpqAl-j$1nirx+Fp6BSV`9SvAj^xR>CtKusKhAS$#BP58;c+@Zywl};5KA#+z~ z8*Af>JUF3Ucy%r<7M-pon>vUBb z-e9J4dXD9s0U@Kup_$eSZ)9@PM{}xl{P?63mHXCtH%xNY1q>L=IY!BuwYt`tw81@* z;-}Pmy76-Pt;~z1s5U8jpf=WI;2_&i2uYYcM6$DgG&%dpXN37 zt;mKmH*<_DI-M^GZ9lqvsrhIGMvu&QQR6%lM~#it6q!ujenp*w1>7TOS}zKWAiZd{ z7pyBYp|eeelDEQYUAN(G*6y-R>gLcDFCa^_gonX1NQ{wp)Iin&tLiF8D+1c@3s=Fb z*thOdV1%EF#U#-mLrCbKiu-Q!AsL=1l;;M2&_96e%$sg|D$Mb+dG*&CoYWAxpenIg zbBsYw4^!Yx6=q|nYgCMP6QSNq9>Zbx{9bMNChV(T>&Np*1Z+UC5YM%Z)#|UzxO`o1 zjqtkh4CLIEd*3ibn!My3pK!tjUU(T~5GK%i=0*P>r^v7Wqna)jKwBWgUq_~w`^TYF zTl-8#l#z`S6-~b$V@Y8m>g*ENPx>|)O>Tsn5CD%$$bS75pZixL5Kzl%Rvm#!iz6SO z-k%S|>-u>l1+ALcwyD3mWWXjbQ_gl&BfHo;y7Co`tj}Xc(KZskw)hra>7H6wPcBUs ztNgYxFeGJO9rq)PWhB}}XpJJDbo`-q5F1tpeP>k|pazbrGoXGtvG?`S@B#x)?Ri$I zNA>ImTC%N}6^3EEddZjMe9^$c5I=XKc3X%djc`Q)c$?w$;W*G;iDO71>buF~pI^s6 z4;?3#ec+1-VRlzKIhf&r=$CI_)x%!^U(#co8z9oYli&lu^6WBN9T(<663Hn|-dt%A zM+LpZ7qoR2=h459ViK4(kiFb-z@nAt3|{`~lwm?(((>jM$ttt*6*BGOP!#G(UJH)= z4S7Fz@AIj$gDXezfGb8QzOSegUH8PcBX)!9{1)FXqMJOA{!-~xe278Ex)pG3J7^cQ z=o`valr|lkJQt?xtnzA6MLBQ=27L@-!#tW!%b_zhNp-bk7n2O@K7?6%2F)s%J>L${ z2V<1CnxX7$d?pW(p!-1H;s08VFoGjXk)z9LaZ7l0v8%Us7}~aJb14OWiyMiD-ayR{ zjm;G_LTPKySyq;BpDEwMSTs}e;Tw+LV#LN-=2S=G7GVXX4Xs8?bJ$_GX>{=0iRn*c zh<@!XEg6n2`kfQ$Q5SRTBu`xS>xS&m8c-P=AFP(VC@7!fn8B*O7R#UF+Nj$Fy1{MSg{dRaufG zm^`f;P)wGrmZDe)CoPCUonLO-SZ!re+m~c(cC6bPFJ)Ix5i}mczE6OTS>e6|u)b3G zIrv@f{8Zi?^&C&-KBV}>kFDi(y04etVrG<$hRsL)8G`~w?&I*YD>r*kVB^qgel&9U zS^3$;oir;faRy=_A8J3&26c%$7C+7XJn);#3R`mdQ}&kJBP|}ShW~R30l@OFezSml zp03j%{*$`BcriL6_I57MPKAN0rvuPg@8v(#mCR(n^6XVy|AY&)CjNA+h!OY&!IGzi zV71+FG;t!SlXSGP^5=a}f+19(F^@x5DCEidJ;4dgynC1X5P@++NQ|aByb_odGv<5o zpX)#0_JH2c$#r?c#evp&WMdYY!*!?<*Ml_53&0k=7nCnRDq{7CLi;@xkhh-oHzaJt zkWL?#M5+$#rz^5|w!J?FkhWgSV_cgUh_eZYZdR$=yaLvYY3V_wzJtBC&@ZAXHC2P+ zxG1Vd+@C!R30Q*v-4Z?ml;0xT@Dq>n| z!zDe_ZPaPuWcm+(jLD{@V4;&W2^&vAfpGncgYTFmmXaTg_w-!LJb?NXlz!MBRdpbt2yn*1}xHU46_xtXe zHM7=T_ue1#YyOp--e=dYI#thpYVQtHQjkRYi1!f&1_nu5N=yX?29_HJ2JQ#^+n1L7 zcMf_mFeEV2V!~=3=|^DKZ|@3Y`@;8 zfAt?OPA%ypx48e+sjc=gaI=|M7yV!T_9})#3s(639qhkqxRP1l5MRv}=n9ec{l6B! z-|d?c6O44fX#Q1C^9r`32+}k>)_$v?8vkp`UOzwC?sr_7$KPU;Fx{Un&}(&>nx3W; zqy5(nM+?I6Vt^ z57aV`M~IZ z6`20F!v7gGyMo|h@xQho1Ls#)l^sO9DI_#d;& z2W9`KfCu;AQjh~*7XS>51pzG9zrrLpJl(%Swj-+Azrxqe@7ly?--)+uz*QhCw;#4wr!WT(&$1;f5{< z1sIyre#~^dTas`4LHyW{A6qPf z(I>F`7IAmuoMt<`9;GdMC1YBHdn5itJU8Y%yjM6(w0lnh!K%ChnJ#YT?(}1F{}#t- z+Fd1TwnwA4v(K}9L|ai2W*`Zy#5EEhR~@kHy@<)0+xNEc+;n1!1{>Ybr@EX+=v7-s z!kVhcKNH^`YpXTiHjAm6U({>-)~$AAj;=IlyJ?M%C&y&v=~638;lpWQp}c^oQ|W4S&WdFpc_`~SGsT8WDi=JX z(=L>fHk7lvPT};n(3@eFj+FIrce%s7Ja~XKcs5+L!Hk?j`83M~4zPyLX*8tM=J)w*?|@%O9waFp&*oiDw{kw5zI zG{vZe`Vqh9YH>)xv_40Fo|bJCC!Zjh8|VnY^)_ExWi-cJ@kvV%nDp+|SnKmBbUxJc z2lfi-r-$s>HWS9rEkpFGZNTWG2B$%FO<8q{@A=(^BlRvZLJ~|x4Pus8b}BUNRV*&O z@m2*v6vEZ9Mb;~!3Qg^`6{`0W$;pysMbZqCw!FJWVi>R((1*3N-Y1+pV9R1dg9_L0 zj>Q%Ku{vaHWPNAOd;}3RKWAm38``autBRSMKN9*GT=Gip*Js`dS8TO`3{@L7e|HDm zb*Mjg?Oz^*x0VKQ)-Ycy;)2;6Kq;PAF4G^!F&5b~t8EobF#_m7Vyl_+&O;llO^Iz` zs>BK&&CR>F(E^-AdKxo9NqGBi!1PA8SQ0BUUBUgle&5|eq&w(V?Z;9V@(Uq0)2~^S z^gv))oSTZ6(VsIO#7i9}zODs@vLBlNK4d@DXkwwK39T-f1UmILw@&v94wB;EW?)SQ zUx9M_Hc7ouq$5yaBEW4f(*%JlX~GNS2~1Ir!X2louWV3%<31s7(6xR%ZP8L1rHC4| zkYkxPHc0b$KpvuD?XW1jTB5#GiG{+yaScw}j7>y^U#ebOcXj4ZdvtZ$Gjw;3{Vp2K z$gAv`GWd1(a>C5#f~pRi)2{vYm;b1;sj6(nEkr0|(;cdzfQWV{+j%o@)b&irJ=5WH z&ykOm0r$``U38ZVKG}V$SKX$c9x5=c8>2pz!;jiG2X7zH2kS5j3Rh=cGx2D;?gP*` zTxS$VvJbL@kL^LNBUds|lmYYI9?1&M^nGp8M|hEC1=&J9s|R3nt?a|g@I(9|_ZS`tt?QT!(%v#tn;m2hVHjQEt$b2Cm081QFinNwe zy@ki6Kz>Nd#;X39xWNs)9e06OA}NbVQmX>7VrM*>scId9%jdlxt0zcVy%A`B4-vHH|_5u&pNK9OGUY%9*lWm}dHJlZw&$BU901&#hj& zSOYjc=I8X@Y^kPQ<2=4NbJHx$VA(<`KtSc+7QYn=+?pRN!=@o7IBh*7P3|!6_M{XceSY5Bv(9ludXt*XR0RfcUjD+BfY3v5@}Spk$#B$j2mt|+wmQ8>)PwY@tGrvbsG|8FuuLx_F5sec zz0Re3&ee<+7fzFgv04j1VC^`6O_ujuwlSr;VqjDU52-ZWUQXRSZst@dnDcx{LZ@~x zW%bLGWBjOW@j9`$8K4r?P#T_ar*6p{&#M!*YtC}^`tc+3ag-ab?azrLyzKla^_#^% zQ)V#C2SYOO=be#e{Qu4ZE^J&?o0R!ew_Am6G1N_lqc*t%)zmL|LMY237rd=J6pjgS zKk93!=VsG{%Ykn+;nW2R?}hiVe$P8@Mu4AekmF=IOiY!I7Os8Up|Ys>@CE4SoJf4Un-9j--7FkhpbUw_^mBH zr&j87^)U(*6hARDab~J7Q!sF|FN+Q6=4SclCIHaHQR^EjO#gTryjOOqx3Rr@@^f6= zjG2Bmu2x^1F8zBS-Bq$o_%`-j|8yQdxGU-+$1*&s-4A3Ey*F?gxP_!Q#wrmn051%&vGe1CD6W-phch4 z$EvMfnL=&x4dRL@_EXK?Mp0xg>iJ$%Qzop5^)wB)A^6OBgbA3BANDnP3gvaM>o`PtJu++Qx?MIqgBI_{H%kU| z;KwpjZx)?eb+8`mV=#Q6q|m5uHs4q($EUdi2S>KzJM{(^(+ZQzutjOPr;8uM2@Rch z-EHD2rm;_92h_b4v;;3e3kX)r@YeELe?9yhyEOa|!c8n|t9367+itGQlT%Flm@uMG zn)K?7Od{@7WQK}pWh^!(O(rp$+EK>)v$FQ?DGu={eTp1In{FC%ZskcaawRCJJAyj*J*blVAZA_U|z9{+Y!Z zdINcW((1auK9+sJ%$K4-hlkxK2eLU3;C%ip6^|JSOyx8#2H*^6{wY0r{lzK%+0|7; zT^;>UqEm~{O0y#aRL|F$CVZ*dP_)~eW}?C)Q(xawXtq?V&Sii4AWp5|ks)a`!fEb5 zxP4OYZNT@ljecci<+VBtRn?i;`l$bc&4Qb1Vh91CxBo!**UblXM!NdPKKi7HHq_S_ z!zh_d=KddH?g#W4jDL9Nq0-0KH_QO-KS2Gfw5hqdC@-Qdxr?GdWB=*{am4uaC(&5Uew_V1 z{4|}U3Z=yY{msM*Fdgp3yH~Hji*D9=onH50xi0Pb9=dM(44X)9XJUJ*iE5xPuF;u8Vl8JP=!7a(R8=4RJ=>RM$3os^hh>*0Un8% zSemepNDr5L8y9>;P%efBOLmKsKoJA>X_k-x!}rb3uDm;`1DV z2w6w}W*(it&ISiTn&1vQ+cKns0$u9>(2fawsY4u?^YAXtHj3-hRdR`~kGANIHdX`H_B>jb5)N)%sBX z(Tlwrd%IqA2OOe6*tGDl-O%zg@nGJ&1eigzxbs`iC+66%hf zduKU>`ME0)@VFj7UAPCt#9}Js+iMKunB}=WJ3~}v2rynu3-eVFRqd-f@uS1TpPynQ zW`DB4ww-k>;%H9JkM&x7#3A%Fdh~Eb+VbO9w{j|%yC_w5C*D4He-cLob}Lgr!wTu6 zGc6v{{Ib=t)H+m(_fUn;rbe0tPLGMM{bDk@d!b3pOb}nE{mD$T8O{n^C2>AB!rvmj ztO{2Z83)pt8T^+d(}j1$$8;ZO-DFbc*+(=Y6cyw)e&shosQ}-+uGq*qtCUKtI!b-S zbuE6>+u(xBTgVr0R>DgVQ96GadVVl1RjW8O$rYtX&kbDlG+6R{emEI#c=~oepKq4f zf3CHG5QHgBlVYRS6`N&CC}24Q{sS9@nHKNtQVMPlh~YF~x_ekXoa)brW+LES*{#aB z(2gIu>o+Svr)qa4;)`Dqz z-oe?AV-ysjUk%m*Rz^4-{D>ozl+?j`$vh@gzF@byYxz3^Jy}O40NJp;8!~b8MnGTl z^*RSzXj7R{{&kG9n4r)jFn1fSDf)o0_TW!y)SOVqAOQ{z#;8M3K#t$s2BN$efqKiX z+RX`Js#=|r5Es?;;_AL}l7SGnsZ4O4_kF@d$ptkIa~KkDNAX%DwMIu0G4WzeYKb;f za%8vdc_ORjX=fE7FEW~d=r~z)={tEP(DnJ^SC?=G>ETYKjgIv5sIW=5d*ejv6EJ4@ zU3~85XqtI@;HxnWx<6x)EJy(diE)>vE2eH3!^r&WTp!wHb3Ooe2zZ0_ zO2D&VNsUHEEO+<2KL1SW-DVU8G&kSH%MP2Yx zxH?dyc~o!ipB~VThgX5Cw6tKEsKvstLYsR?yO+aobt99OO85aDUh60Awk2?4tl(gOgjR(We_wT}pP|Oc4>%7fAEY z-pT$kNHv^JSc{9G&2@e&wP!ufSyMO3=h5cHFh5-2>Arp;UiCGR3iuiKc*9;@LrSe- zccH*yE#z-11YPlRJG0?s)SvE^xw8WxUYd2nhE8rvN$^3^qGK33*Tn$UU+ z?abp#j+urgL1gO$`lRhD4g58=2YmZ;uQ_>8#L(37*uB5Lr`zbMoas*fheDlRV4tqY zHw%8*ly5qIie1b*o5Md*Fgz9BJ=s{MYx)zZRCO!els@E3N&@{xY7*tFT9EcsX`^fA z;!Qj5w`n*}!O$RkW~RX~J-8ju&w;-^2?g&pa<(~rJZz8K8}r7Nksx-m1G++9Jm?)O)i;Jf$@Xe=}v1+$yc)SOT)%IuCo*+s+GVn`J3|&CmecbJYKeN3pLH zC*<7d>6DG>@%kA$H?o;}M%e07DL0y_*NGdF|BAp{zAC+8lIEyRpPYJR?t$r3m&~ZyoLcRCh2$dsXFnJ!(%Z%0iW#p4;@aM{hQkIg`7R&k zJ58Dy6*J5tso#ZL=MKJHgY9YaL5UgznD~UaaoZg0x%T>JGHA0F;4yw+74}l0ge#)V z+0LD{r(wh^Mb(A)sSqwOS1my%@i8-PnYPNH)7&EB0K|9!?5uYMm6}~fxHGQ}hgDGx z7evy>b4_>?=O;E|i=%(MbN{50Ge)XwnX! zMx9{Kt}ga#ueZ;65LIM#(kRHVv?N=G3i)>1Hw--wjml({9g&hq^yOj-qWv_@Y zJ23lg{x?~UbzWMQyJaXN%inHNr>I6+WA)!@(0FxR`f%?|W5xt__7UraU#XA-Q*pes zEwGJfHEA~~18p^vt@3YGbnTZ5mzwTw(poa8lH>3b3iGY`gG4MlTFA* z^#!NAo(xud6;YX#j9mP1!l%)aN__mZWXTb7%ig1zUs$I!F;4+u45WU39^1A2-lJ$@ zBT&@Db#ztyix)j%oPNA0+L+S9)GrYlvdwamC%06Z)4siW0tc-Mp_LvrB><^$QwG<3vW= zU8_GUuvnzxgFMu&kzQ{^%s_`?z2H46)A{){Zs@y+r$41hY715!^M%(2f-l*5MONg}zmlASG&+$!S}rS>0H?m?SC#@OROr;v#WLf5 z7R1P)bH^&!($SgO^ntWG28mEGHBTB$o|-F}7UzVem#Owd=dR?#ecPcbYp!@ zE{~_fcMD+!X>5Ye11g1_iCUU13?IVW=f{O`zw&+p`+ZlgB6!)Q>F5$hh$pW_({yxB zrKz|{J`1$IjBefA(m@=}kH`^Rd2CB_H~Q0?Kd#djC3i%f{ye$b94K-QndpZV^d=fU zrQ_w<;*}D4_nS&Rz1(uAcLrzrq3m+R9oQa+5c5+t*#3xD)5Ihbr&6qX2@rx@mMOW3 zjDv=KM$TIjMwotNL3P6x3`T=UarUHDLP)*gfD+M#Fl=|+#(yPxAERr;Fs zbEM7A(C;8C>aOep5g1G@4Fsz!kv(keE0J$z&b30rmN1uJ<+lDs+B!bi*Wf&Jj6#^(l=Hem=;ut8BZNv{k% zCogNO)XDCJp4U|+nN)k7?QR`^FFwAP+h`ccM7?^}996&I7f~8?Wr`RQ`Jqj5DIcfx zg*M2yAS#r4(VJ%wCcObfYZom_;`Kt}mgq%|CYPVvbSMa}NB`&Bo>e5t%+cBBG{_g5@%F?*Wli%dyy~N)wB~X}(~Z?k9l`AR$kCWW#@!0s z6Qv(1^&bJ61+MfublZOu6L5rZq$2{{GNccwKvT&4oP~qcNb`b}CgVcqzluW5uN)2T zXcilx=i36d;od&sAN5Mwyafa%{2}orp{sr7jLd1L`%6OP-tx`6+}@zQgF6O~yYW6I z~oWLW3Je9lKkZE-yqDgl-_yiS8GtJC6Nm+Sils;o}zpmf}sVrd0pgnyD!D zGIzb!(;Liae+$Mq*6mTPv_0#HyL?tkVRQ^M^v}0ER4==}W0~tuZ*|qIop8;$FBks* z9ScwhZSD0cqZ(hWa~2uwh&WEqpkGY3xWGh+5r!DFUjmdT3pqkDOOT@MK)d)x>rxpVQ~CAE}b2q7Q1m7jSw<2N~V=( zaNRD1tmIq|`>Cy3b^i~^Cb7nM;k(sm0v0Vc*OL>(vJkz6?zqN2m# zpDv$7tHp#*<=WUMe_OxqNvZHJ`~b!hJ8nnL)Sv8UJKa{d<-=`n;^!MhU-VcLhGCq2 zyw7RcYA$6uE!yK=m3FR#4P9Q1e+swDd#}8}{C<~5SE0FyVnmVCIEh;hJP(74BIh_8=?wZSWJ)01#fiR6rbTJZ2E1-#n>%?) z`t$AiPJvanHd+$}&QRKN+f|=#$LJkNcj6WgNXl+M4%b%D*TKHra?xJW zpI%od>qZ0A@Dr1Ldy<8)0rC<1aQK&<{@3|~fKcFCXZr=6pq9d$Ic%>Jj3?pVfUUhufIds4+lZ&Y#i~9(|Z*(VKC=5(I_`B6KFW`#D zRiA^{D#Us8cl_6geAz+5y7gNnBf*>(+8a?sDL};NZB!JoW9j8yi_Q-B=lo88O!T!P z6p;pT$`*;tbFah6;moVTv89Im^h~-)2ih1&dwaf-;nJqu=`ndzIvzGz@lZRE0FfU2 z5`(i&?IZFAW?l0okR&+I$JM2(esI9@c+^B=@$TNub!h>OQfs95aqv?JF|@8kS)!ao zyb!t4mX+%_++FAwh2RBpj00i@3@lIKH-55re*Z&MuQX-Y05X*)Cqs2?)2_RnkQb0E zhCJTsJuv?)nL{-dFYf$s2HNGeHhnq1#37j(LQO@bLE!DBXZ}v){Ql^~7pML0MgnY6 z{BZwu#(*Nk08G*#(Q|7@*j#bcn6gteZ+qr}Q>HYc@=bJ?$v+CB3f>!qr}sRq$T)oN z*v}G~N{?kP0h#wCUt`s)xc})VAQs@U9B>LP^S9-OQt{FXYq_ts1Ow_;L)9sy5L8vc z1o%P=r}+4Zkgg|+Z|7!zBtcaCgKw>!R820BBdb;0Jamu3Vor!dGE(&Qu9Qv4h)(pIE|!YK0+ohL7!<2qjs@eW>ghb# zkpEQCRw-Ig-R(l*8jo9U$wZ`CYcWNZJLdztRtWcWJKro6KSw=y@7-Sj!x*}0RpReK zUW%D3AYs0%&m%?jaC%m?w(!ml#}oKZD#2vp5{acV-YdyW$X3DY8|~5dD=z1r?2@XV z$m?JDij6`_hWaTAh?x#wf*^AK;fQU_={sz^jH=znb+`% zBS?j>h^^baP`+K)^S}VkI`veIWxqcv45Nr;dCt92DuPw_;R1kY!25EE*0V^n%iE;^ zO4ZPr0Ed^(_iUBjQPNx#ZqB#z%2`3P4>R8*-HJW+?`WQM*ce{{I+FG)z#t%D9 z_r@M3mbt#1%LQ~B9#V?JfpOt*RZV+n6E$ASsNk)j(svA?kEM^&ZL4ZW7DpYS0TRwo zMdZC zsPif+!~{KkqPxiy>MS2jjEG4;aNj=$c=wYhA}PqzmJ;sqp=5$c57v6CQZ5Oa{Wc z*fVx1(qK543=8Ll;TJVX%hHzOBZMRtT2_?u_`myoua4JJSbzz76M2AqV0X3`70vo+ z$n-Sf+nsGmsG=HvfDMqYFqC~-CtmQQCiTq*h%`l z1viMt!gZ}A1@V}=J|gEO(J{{YVinh6;B!u^iHKrAfHY+LJ=7ZpM(9JQa89*FokW~F zvG&x|!p*7NP31}49MQ!m>0ysAcf)s3w+?T0)U9iiq8-5ah4(yyynL{Vw9`OUzFmh| zLj#D5!Y`zy57$!H+=V`Z{eMY{4T5ECfy}{qdDL2SzSFlrmtMc9G+|@TA;eM6Z_n@@M zov087xdG3P9!Pyu9w z%`VORa~*?hfyR=vaO`55>cX!wXGt4%x2*f!X@oi65)P#88LSNVQrp~8sK0muoLT~6 zB4tGzgTR+LmgpJ+O!eYIQI*kBjhhnCApwD)2e`tEK6QVqTK-MA9tlC2n^V4Ug53FmV(wi|TR&W;Cp z=lC;Ay6Ve8qkkhpx0~yss05?a4Nof#oq9wO&A&Z;u>uFyw}uDvJOtQOK6cY8bVYe( zTi1^$6sIDJliX)j7^#0ZvV|jbZopv|B)e{(%#PO95lo{1uD=V3X^B4R$njf2a4es7dDih zLfpxwv7?4%s>VPd)ZSvPdcLm#uIUEwY(A0m)rA*k2#O)2vyl7&3Ww7^lYhSdWXqC~ z1U%YG&s2dAluhg_Ly=VSg_uB(YS035yb`fXq24b6OrF2(VOlMp-je0TnNaa!feN+u z_AGddBIye9(e^C3{!$9b-An&e-$LK_Y|+Say7#rcf+li&{vHwkwu__vF$aFgR|qyu ztK?qVV%}0^yMKRl@%hhgR0JULbCOKj6r0|Lf0F>lEd3`(6njB=6@PSm$KxJv94>Qp z)t?$*Dp0$kCoGPqYo_ewBdV>LY3emD+9^UxB%@eOut+Drc*m+JZZe)Y9IWZ3q-;Oz zTFYkIlqv<^Qn^A$En4^cu0)tFj0Qy-z0R1lhiP2M+h|nPfj%jD##wXJO(V#PS7jz& z@*ln?A(J}?R=*@B$vMk!EF8u0_A9^JoX)$59U@@;m^evdXsXH%9+E=hMw#GbUQQ8E zr)SB>R+FzrQMOPXSs5wbdub<{ueHyrM^8#E2ev&U$i7mMazY^+M`gu``}UeAdS8!h z?~-=uw#pl^A%`I@QOYZbk;})_JnPJhIO*uJsNvs+bB4B@{T#i8`ZFSoc_jS6%qQQ! zKA=4}S7f2j7_k@0@#3YQAJuJTcWwPPSaIvhkMtN1mXLP$k0n6(eRM~0rGS6hPs@BK z`-~X9c0p^`WT1jN=o=Njwn@!%#JmWh=84%(g?XTWr&FTQeSn6dtV#H!97o81JX_&% zjxm4yo1unr7As*pfTUuF-*r&xKX6RVNz2d8Dto0%s8{3G0Njo4{GERs6XQXw@0eJg z$@#_tPoENQcy-%csIcfq{3JB3@c8!?K8Vb<9?^2a>%rkE6Cnb4*JrM9fdzrwtrZ2L zSexgyLp<*Xd{Sh8h26Aun2y{7^+GrmtrvIIi*2@jH-&ekmVF}RlbmRXoo@=ema>SC z?`^I4*BbZz#O_ho>I@L>V!R@s8a&u`5=IZ;O@`suYPXq`Tha{yJT$Ij<3Byy|xFpgJf4bKK^+&N{evS&b)*?q%%+H^&dnN9&7cGimlvu;g<>WKo!6 z6%kc1VTEMfg&74C%GDr6X*dcoKKzl^-!!`1aeZ%`J}?&N8&5GvA`p0<-;}I9$*IVs zV>7cdHLL<@SLtuBtuWTCaep=BZa^rjwIGHy(T^DD@|SRl>J9amb=bIt*IzHA%*qm2 z_6#Pnf4&i)4jgFw;5)K+Rm-tgLEnX*mRW9O6uSwyyk9uDVX~eCig_}LRg%EBu>WRj;ujNO<)j!Qp}s+#Fa@BUM(&6$2=MbPD~_4vGa(3S*(nDvMzp!o?# zzBplq7(%)$XE#pI-zdlPEQzE~<>^~o^*hV-C_C!yy)yN(u5`xTZPO1sNi)}LoZc7c z6mH)Zkju~Po{fjh+Os&jZXI-eaFxXlzhhsU%-JkX*<1ytlr!rw zyJfT++c0(tM=V-XT5Ck_)dtQ^qo2CUv|VL=(Q0?^8^4q#^>y{w6uJ<>kdA5mz4L;X z9{moB+P3S42>;lVtSQozyaWu)#~PR!QJ<2c%U5~1QDLL{z4<~(TjC^7$pivt_}sYKNI>0{K;17bhjgQ|tjF@rrpNjhl9 z-_ljO-xoga2%rH)kwBx@=wA>Ele5g%r1Q0&UJ)C*A4UiCV_gpAot2ld;Gz%4*G|eH zCy1l*tETX4Q+!cf<`~Ags@?2}lHtc2J`WDOH#4Fq>K=~GQr7-CL%s6U)1zckp)oyX zsJx`juhQcXL>E9So{P6}2`9#Dw0s(m8pRAyS<*Qu1XGc}?-{XqkklySEy0Ud?ftST zC!L8!+Cj{0Q7&m*Oo54`LV=C|8))+mjwdQkrl4QrWis14I*yNz5#$GM?Oe0u85f1> z3GlFC!c(H7qhIKXs^(d^eqYRj0y3?i7@f!oS`>O{;}qc6<-?(5XoP|+9S=vF?4U)f!DqepVTXjYi? zE&1cNI+C_&KBkt+MkPt3v}KHNfP1kmNv=^`?~F4O4iV)h?nhNVttn*fqn{1~Jzqgz zM6407&@uEK0zZ1X;(Qm9YEdDJMGreNk zPfYsUyk;nt;ut^!fe&6H8S$|Qdrw86^9xttO*p*vYsSv{jp_Gtp~#5kGtPmUcm-qf z0LOy`uV9fg1CO4BZ#@m^0cFLgzA)06&E6$_&VJ~i-)M=HeM@?P8RO^_B0@~rM(MQQ z0b80mSmwcAOIle(Sd3S{zfhEDhlUy>_=I}<7|Myll$Fz1sMNPZ6dz6h&5$>Can!}tz77ar8>CoK~GohOzV zyMYtOM29U>H9s9iAqF-72bER`8-0QGy?heRy7%|U5&H@X7i>5f`LpGhZF-RbDZORvkSBj6s|7}2a z03bU6=`5oA8$Hd`f0|)n*pdI)3&u~FLeaX~))D9JI^REf&qPJSBZJ3rQ$9%7M!7D| z`|zV>#Ks$#KfusRgBO98&B@lzA?4ScmCKE)WxS0N=aRDbkpf$TnC>+%AykSM%5PwP zpo?JNZ(ZhKXcDy}$Qtql>k3;Xm42(!$})UBOvW0vh&PB*C|twu2@9oYUTohJSJninv^)^aRo)yd5oi zudUxW5v33u-%LAxu&EMMp`c>7;P9#@}Bt4AvuRYA?n)FhCd1aO{k@*wF|P}K-e-N z4`l5YS|!dKs=bQb)+xhwm-~_-&X2{S+i8c2@EK0+g*H|P8WjKr=U7zvrN)Ekx?&EO+b}J@kc|sv0hMbVR;=7XIW#j z6T}q1%>JlD&i=U4PeX0u@WyvnEARPRSpKglu8w0NDKU6sH_7LRq(<#6bCLK#KSYltS zR;#_V(X#@=23a1Yn%Dh4;Qml3G0fulzO?S?wk{-BgwMj!K5m+shdN0T!BZLCbilf= zUA~a8eoEx+Z^Bl;m+xMJ{JjyQc&?f-YKs{b)87m8xzgUs<5OnG%n)}`!rggy4jQ) zs)imcg+)OT-N9m%x^cB{V}H}~kYj)wKd{TcI$w?jU#W$$N6|tgyec}65`2jnJPY#H zKwq!s-rQcj?u0+gFya}_&xQx1Eme7%)V{vt{>JiXf@pZ_5*4N|xioia4l}KvjfwyV zJ`;_(2;*mwrS+Lzl^ypBcU6w14B4G1blzMasMc?9S*XY16w{hVhIP~LiysE+IW-a0 z^0OS~luRsabNrI|L)Oz!kJ?~Ix`TkxvR;hTcnH75!XoEpa8Si$+AnRwExv0BTfvFW zU8p|T#t5s%9As<}jz`sVRZIJ-V@+AMnLLVaW`$pQkrw=^`p*`GZ#zGfkmh&>`ZY4q zqsuu}+qjd367S$DSF5&|{QY@Sh0{PH*B{4pGDGL#uQ&1yL!9U+vUChVnk|AiClxOz zMEQE82-?)|vRc!ry3hP`JC5?~{H@!_J+3*Dc<>hAWEcc%i7NkyoN`Ygre4t1pof#4 zQm_x>y3`%!Mljs5`jyeF-Zv6C{-w@YqofXE_#{4ORYfE1l!JEW?!nsu=n_-;VSo}i z0yzPdX}(+(!O-Bs23A2C9|`ye1x1fml5A~jj3b>V=n2p1nk+t_-SlTyKFX9eI8q1* z_ye2IBxcA;hH2M4bU7{Bgo@%tP~!tilrPgra1EbLrwyoXCkPEpLHswk7~~ukcDWjY zOxF_?yOGVB_f;aK2AQ$ec6SIbLkVT5k|Y9{TTeSFXlhEK=12V?{vB%~*Jb$LRt?0$ z6hL|f(w7cbjFDmDIE>ZizcRy6!Ao1uG3hVFEOk7!?&W)M*UXauY%slriT|{^y4vq* zF;e~*Na^RVfcs^}_u+Tc)zLI|AvL_IPqkuxb8H3+Wx1e>Pm1A;Mlv(;T5hD3AHBqe zugl-?8`~X4wJx+rLMcMMfai$$*g}rk!&uzD|cE_Gfhe2Q5)F^h1RB z?(-XVbMur`UJGGLvL|)^gzN&-Y_Ig$f|hSPqx_QPfutU#CxHe{qm+pK>)kQ*R05SQP-zTuv7Fe2k#4 zci46FGIQlbQ>O1r3MkhP71$S`v9Wo$=Nv;qFK)#abU zsJVNiR0?h?O2MPYt1fd0tG{(?Tg(Z-~7L7vijP!>zLB` zt8~k}`|48B3~S)cn-lAz)c(_c%yhQ&ZE|>UVwCwiC}ksCQ1~@3i-$csaPzz{@G7UTSTm z#n(G&oLXcHHt-{6WJ1EeOM`)Q=Ug*GUNQ~7YR8+x#jJiV*3acnWi^I7RYrPXv{s?g zdYFD>K=2C?^vtUm)oSlLI3pFdt%kvXc-!_~b6xSx0lf)c(t~`+>tEAuwg8Rz^@dY9 zI&j*qI@ntdwK6DGN8ToJy^Y@Nd>d5SwD6tRrzqW z;T&+RSqm(w!>n6Z>37hbkiA^1lc2(fx4|o=qpD@2z9=@_#wZSsi6-&{X#UMr09deq ztANVUv=a{x*9k7JPWHf6YO^^h?_Mf!Cdf)+q&%Wb=P)jq_YKS>42RV$%|DSZt5I6eU|yGX{R~oBx2j@Gg#lPtTG{0UcY$Hq%8n7I-3G0Fy)Mjs=#=B}oVIu0ewp&I zcXFw=<^nKD!8_G;K~qwW;<3r=bar=K^Q7z0O4_Hh!EUUNls3eCcXsN2LiSY;7@_yt zYU{hkz5K|!81?&8N=Z!fCEg$uNfaSj`(r83W_KX;U{m8^aduTsac#EI>gxQ1=M@AU zbgR4&_p9+r@J@P&cV|~m^^l7r-vZ; zeY7hWNdSfL#t?p~U02KT&qWf;LEa%kAc=JN`oipqoav-uLd8`{cvRID?S@ zIp^$*owe7RYtFfy|EyidohIc)LK;44bdt=~8zV2>N+Mu_*(Y-L=THQ(Hb`mkZWKucyWtV&cd7S-v+cJ(!ZnP}hz}f}fYUU*RF=atp$ZFgU zHiH9nUf4oln|imuaYo$`_kjpH7+;XzSojS(mE!?U7Y8PD%oX~_7!AmT?uM*BKkka0 zKjzzcqgzq%`!9Pj(Ux%eZEgD9aBrU5sx9V!>1G3wNmRf5<3h&SufKJ-e50yT@$uD8G!4O<~hcZqu<86#PK_y>f0 zuAW44&>v|XwU(!1RfUJ{_sYS+ftI$=!E@E8;vC4N3(h$=4y8;-2I20QJ=qwYj z;k#chwbqg^=;^z;xlMM{6+Y=e*^zJ8B;B@^|EOG@hLM$ zMdxedszPWUiMh+;BKg#(oDi@GRuCTIno3?RM532VZ(hGfZ+5b@h8LoRuwupjat;!i zLq<}HFv1o8$ej z>a6r&i<97vnRKl2nFZf`2bSI>F58JLr;t(5VL?w4dqu;!W!v5EHL_rfbtut5Gc&HR zFjtLcxC90<*OB!|X?H9!@OJaMs~rtryxYJ~s3^#y_05El<#)B(DXTd=P=k@&uqjb*T$5(QKcp?k=eToIW-|{lFDGx> zmY|^+J96tN2x(>&1fKULbYNpdN2R#1af3b#fLmo1K+(dhxMRX|r0({+w^u-61_E-3*05 z!ozhthOn`u`AfCAf5$RDzTv1Z)>jtN2pTI{v!_KkV`!>f&w)p*DQN_;39*0`K;Cwzy@sxA)eCL)H+PWIjx>fY89!XBFP2yQsoxQyGi?-Naqt z0Mq9*jOH42x-WUS>(`E=LG@qbOTi>>@@Ugz6=&5CVc z*t>2j14X}V>0LQ)8k_lK&f^Y%dNnYlC0JZ^EB<#+(_~MS9vdxz8Su| zHyuB!YS6LO=NHWzq~^7dY=-w5c2ZGOu?4Od09^OyUo!g&vLG7TN`JO8Ik5MId)$*b zff-7ksG8mNi`!;!iM+tWbOG0%H{)okX+l>ecLnXIPPMLeE(g@6l~mlCMl~v`xHT`N zo+qNGk@CB41tTX~<6t*{6>EMkY{Y*Vw>NmSLzFoQJHScYEi*$n3V6m-w^_d(>gsu`BGLcAeYfHja}C7H32VMYq^?)fsG@ zn)njL)$2NYXUWkE9_!m-x#$9^Gi5V1@Gs-SHdZkaBa0zFOq*8vW8aTsz<1SRxYvGu z95#HDWVHd$IT)?$T-A1Ipbc$SV2f)Q{p7%MS0h;eCwZw(=pgeIk`mbm1YVrv^l;gB zB1`jEOo{BF0ZRS%@87_9)vBs0Gtzd4pslmEDtm16D_0J#F(o!r3Rns?h8Cr!ak0a9dMk(R)R~&@%m&8NbbG6M(I*Y zg1><^>N@Xc?SmwK`g!hg5JNJbmnZMCO13n^d(iPHWE784uy`DL=e_JTQ z)L&3om}K?!h$ApC@TXV~tX_OWQ$`I_gNZh@FBN-(Uzr}p%wTvEdc5|AK4HSc`F>-Q z9}8=k)Zvj4_n|ich1H6K#%5}kkmY(!8>tUM{uuhqY%@4Bb2X?iB&49gd<9h!r-J&u zG_dIAX+`niWxXg9D4+J$BsHZ+I)Z$DGBn7VU}urr;oOo*^t-R>_txn8D5sv*AyO&^q^w#h=r~`*!X;B-=^Emf-!icf zf2O0Qxm^TnD*y48tlj6iyx}h>?Lb@(fky}Ie4*zdo>!aXN~+?d2$XfQhhjtx{bYqW zHZJgKx-oQ1aS#G|eAHuoK5%?Zl53B3mROV+@%}Iz$m(zYM>D%RpmR^7|9w9n?N^Qr z5?x-0PL?(vH+h->GikN$aULgM(aBi%tjx#p=38WJZ){8>)7VnEdXbvZI267;Rbg&> z#64bR{3`nG(Ur~fVt)=Q6Mh~EP5Kz;GsMC|y0OX(+D+W352`so{_0B0oVXkooNu_~ytlXON})9`<;>vg%s=~t z7|-(Umz?LYlsB4Ri%M(|2iWl3>#X(GNpWW3EEi|ejp;&wx1vX7J-VAPmFA=XSLA0@ z*yeQ5@gzT@gy)GYU*@vlS_88zM9SHM8!tn zrUiZAuQRGn!7Moj=e`16I?^h$nfN5Z3o>#Q)eP547S-WQt`U3&jcOItL42PZ(Qt=d z!Is6FSwBKSejDGyM$^$4WtFuKQVpGWK;C zHU>VpM+~jC!13{XZ7-3szu>Z9>!q3EZQ_axHAXxn8lqG4>&xvqaZ4qUO7XWMS94*3?H*~Sot=s~P zT(V29YEC)9>4HXn}IE8`lEO0tkl##W+8pTp+v~o!XeIk!g-*VhN z)3h>7>d(xvW~3o}SdFA52v)*P1)o_Du1Np%2}v4*gYz7mL7)8>+M0^+2-OGww zv6nhCx2=gP8}T8~5^Rb1_Vb_ZhvkSo@LZe4khbAYrxu=wP*z;M=ekzf+<@EKcV@Du zmBYtGoOevE>?GpTQ^9dpK3JUxfsUxu!{&5r(y8hJlUSh6&{~+y((%g4to?o zqP@-BE#>l#HQnN}(kfkzcx{xNHOR|Hss5*BpW}LXjFb5F<5?^-Q5-gF+@sZ;gx#H( z`!0z#9;2e|F2)9VTAUy&H}5+&Y&lTjdts$Jkqf}PApKUe(Upom@;bDQRsQCA0Uj^L z8eRTKMO-Ss6S_KU4!f|oH=R?x{D7{CMIHH!+jRk*afj8YUH(^UIS%Do84KRi=7lX& zM5*SDft6O%n?t}EpV_HmFA|YtkF9RZR9&m#=N0y|JXxbS$*2WzeCsX zN)UTBDWe05k83{cMP`OdM5hj>s+EGN>8i*W%$79$4GTI6z#D@0npR0p<-ZkC$FHzW9(#}a=bxP0 z!iM0LMdunEk)I>Y7T!ZavQABLR6Xotr_S9A*VsHK!HE8@3V&2N?Xb!^t^G`6^muNK zN4}v47ZTD2w){A^!>h#>La}k=*4IdWuWO5bV`a?n1d9CVu`Zq_+BwTJbU*294E>;+^z-m7}9ZdNINv@n6IFzl7>9WYg=MWtB9OoTKMF{p%jjGiUhsK&m6h;JDwWJEf; zgU2qZ{H6iQoAj23;>_qOVMcivZO(Eg!nG_|n`s5|0O0jJD0(C<+MdcW=`N^?*eH%T zJMI`+=Ee@mWaMd~`VP44gMUG&s=_X|_NMPmOg7+;##N19UU*=lkjEV5A`&$6pGGO( z$BIJ!H>@I3t`c|0_)rA#ip0yksfR%@+x=9gypYnNK$;yVy^jQ=>;&`di~P0s)z_&C zk*jlnPL!$reN4tJp?qT`V7?L0@Oj~~Fn&MHeh*Jg+?eaTiR2>n5WL%mgt#v1TK}p1 zKfp3hGlfJsL+#j3gt=5`(AjUWG1t|VO;MJ9XpRieF>4n-kXQKr@D6gY7#VgwCwnSL zthH!UqO()uXSSF!Z=uW1%KBPILidmE4cVR~t!_E^eJ1rdj$vluStBi-RJlAwh@tXJo+fyhNP&7U($pB?6=2{a>Jv= zjY-3gsxW&@LBExR$1Mx`H?!3w;vngF8qK(et=>6^rSx15*Y4z$&||qxHzgnOIz5KL z8E5=ijd6RCQczAoZAm{rc58R_&ciCCW9<33x(#<$@@u~F)QZdd44h9^w&qoK1n8ic z3t%KM6DU^h>Un3s$PUV&n7I=Z+AyqrMN7lTP=fv;i$RT1K%79mGfZr&p2!#ZTtXDm zU6JO*evx|@Dc>yQukiUkCVf!oI6Hq+z&&Sns5k`H=b{;9G-&N`D9Ci31aC@J-*p33 zdbu3t)#(P9wO9iJu@1X%lFn6dbbqCMKgn7S<;YGSuPOf2l7qTR=e3xIXvwA{2}??R$>N9FG$2Yt2H}e zKjYg6J&G`P@K*R+47^XBtg9*6S)M%}miGwb5`7-8`tWeM1dViYtgNr8sYVe9+!7QT&qSE%;u*cZ4i$O4khvHdn)3o* z>0hPBXN_=t0@x&IbXCuv^rFtJQ}wkhpRfMRi@qnADHH^UMV@%$;nMe2G?yHAIB~z{vo(* zR(rNd{~R5Ix56OrgSs-it#hMcW7t;FB&~zsYfQd2XvM*#wCH0~<~$M&hT&y*QSRM= z4eP5{23qs7=j+MBQ$brxt~A!e$=RSd5EJi?|JH7lGOmLnVatdxM?=fs8r4_KUdF;3 zzX!93Q3@u3Rj$huHKF8-7X$O*ujEfSh@oq{q>pj3I(ZJnH(N{7QtHbdpT}L{bME!^ zz(vCSeQO@RIhlM**I;sF{kCO@N!wWx9!SkqV+%Zn-tj(>aw0cRs#DJ(@RyClL0$Q3 z3NyB_Oc=U?=Tb|xu6O?{UiQ$47=2&g;mO*+U*>~6BBbu;W}Sr-YgstV^UeEdB6vb7 zt*Rx_oH>cM%7679JTRZ@73wnwC9nlXy@lygfD<6Wnv!*+bV9Tt38s}|QoZ&TOPH~S z1>A9CS8)@%B!ziarFShZrhoj+#J46N+DQ5((%x6_o+Eo(LP{bIhVrYmLjynIP)Jt? z#8JI#!b%VDkS3N_0mb$dAWKh?<&0Nsl&Yu_Hir$HR&qvDDvxc*njxz;BEw@+qSZiD zrl^@J2_xRLVTQhpwS;BYOqZO-R8&hd%lD@H-sUWH+3hLI3au7vOlz;%b7$1-UHrZ_xTBT4 zSg0ZKG5-lh4tbld5m)#MK-_%4YMFGQ!&c~FIJ#fut+!?^AmU0KnX-7OQ%Kqk<2+=A zRezqV6YQ?htwWjyv^WhJ4B{t?24{7pV^mE4o=cab`x1HCJo7;hPw8 z-%|1GwpfkUK_5-eN|_kK5Z0Cx&6b(#ZPy)sKZ;c7yg=)fdhyupy$V_bB5UaNraCvCqog|a3Y|46ii2;Y;L=j z4lU$qqD*fvB4b-$qsGleIVug_f=ss8^{k+e0Ui-OFVk@lkTmU60Um!fhb!(TySIe$ zp__(`bkaWC-(12vDp7PRl$e%#G-)^^DJ@yd6~h&c9YtpPb95X*X3wYgzor_~StA3^ z&-Hx=YiC~4gA(GYrmDt#VJsp$gxh1$*s+8;7edHJvF}x0dU@?4BRig!5LV-&wUr)b!U_D>$d zvm8b~SNv?5Sgd?d&ndSw;2VrcvdHeMrL93{S1UqzN8=4$s#?>bS=lDuRqYKu^e2m# zmzOhNmuDgo6n()!&9-y@7HB2o9GnP6nA~!FdRst~-$HKONkg6I=z3l!bXBmvOS~%` z8;3^Y{Xx!I<^Aa7w0Obujm%8L<+bi%G*%!&ben1Tbyoc42FViuPDe|SYVKS(zn09$ zw=22i`ztk5!BptASB^Pj$v{4*Sd{u2nLtnaZykmAcxS(=+$&e#LFJiau2xztu2bIJ z?=Ic1?_zS1E3E!5Gnh9Zz{5!s-UEOs?t3oyw_X3vyF@tas7jXg~V#VDPsqMfbTup&5;ETczm|Mf3U3&x`-!0;nGrc;RHD z>)utk4IRufmP_QB7D!x|r8mLLBrDt#8UsgIFC(qz-9`sp6W_WGFX`6}vluwuIEhGj z4YWR*mjk~p*3<}=SRWBPIu)Clo8KK7UFAv+i-?e+poD-@2qBGhn~g889*%kuNKhM1 zxzf$uQ5y3&xDZs14*!`kf2;)I!i)iX-7wV-BvrbMW@I%272YNN@wfWsX_+B5H zr6d!qTI{TZh&pBWlKg~{-owU zYKfC0q8=f5cfAdk?0%|o$FR42zbnG}H#~t&SGTZSx~OnjW)^&3mt~ZH&WnVU8Q#6- zd)FV0B>ep3E23cj4}Bp-EAtMzI@VJm@>!}>OrkGnW@hFIY(o+n?2)P{75xSyMWjB@ zc>cob=6D`RIrhS>@y)^%0Fsh~2cdvKZLnSITrDphd#zBG4weyZ{n?48&1_TY35X?3lOgBj5 zs)xPhV!r#En4Xl8CxytA1-#Ms^<*<|JA;sZUxqyO@Z!n3a~21hNSTBz^r%73mw#in z-G?aePfjo-eZMekUEKA3-@`54)zF|1DB%EI-|Yv>`!R5B@(J6$WFjSR^oIYLP6WvD z?i?nCbzD~Pb-1TrRDdb4UEBtL_(y|=j*Ht9S_P`i{fz@c`&${05CBekn{`F+-2l;~BS^&qUk1|Dx@Lu3EKgNv>6A}bznAP>Dpp6CO(ctOD zvMsNo6IH3R1`U|gm3{7B&ikH>H9Vb&Ma^j&&Fgx(^N!r)sS9Q(oLBs(Y29C}}%)%cJst4e-tphkl=!1I?!{w2aL-(xzG-;~Fx zT(NUu>N(%;QLVTWY0{lC{P9+3;_7@q&}XOW%yg}~Qw=d0u3Yt8=?Xu)(z&_`4pWWk4^4})5B;}uj;Nqbh|fUc0E=t^fIH{s{`FGZbl)rH z1AWnx)vmJ8?KTM4(_Ai@%ojW6z+EKuu@Tnpj2;G94i-8W$;)_{&suJ zH?6~Z2}8A?s@edfXYn@wbUpE@{Tx|-JB_Ue6+GvAxIyIW8TEz}i*=e6N!j517h4zg zvHl%ZPWaR1tv0+~7d=GQysXiz2Gz6O5DSz?XqHI@53)D zH3c`edRmP$bA@lX0bl!t@c}oA+Pg&^e+_OdmUhPrIOf&Y%|qbYessAV>(pctRJ>ou z_tjD4w=T)x-} zS(VCEx4SDC`Z6^Rjp$G(G68*-Gdrx9X;@FW@OxJ8r-oZU)Z7+{F@u}y15N!M)m33# z>&d(X8)iNNE@*LTZQD%s#&WJdssgN*jQg^F@OD4S|4 zPGF@EbYk!3EJ3724~B?F&6tS+c_y!CR{JmHt+m;Od=mXa^NfO%RQBnS(NRiXE(HzO zw#MJYtYtd&<=G1FWa?BzhuPm$`RKB?R9Sv)u?;oIACWq_Dy! z-VDJ9Jia8$tG4aSt$fLNOLTXJ0>z31)q9Mryl>||E^)vmcNLDJh?RssJRf$qmkOP4^7G+P{Vrken)}ePC zytBsNE5Fh!zbomXGM-JsJ;|Sbh9rdc#6eufC(RYH+O^(bU3F~2>1P+eFo}&*{hJLb zjN~u6(oJOMjM;qKP8(?QHI3i6nT}@TI3W)IM-ICdB5ro(#l9lf5CN(S>{_v$pzYb) z-EVIS%14K)dj|eQbPO}0$5-ir9r@eqnkuJbjO9$aUYqfzR^q7FBhk=e4dexTDg4@oQFf`$HHvp{- z1t>9|AyPodBB+7Si^b%ybLdnV z@W!9xQc%AwQF>pMOdVEr7_UW%yItg{ruH(HMEVaY_SR3}bKHj{+#i3=kc40U!zoe6 zwL`ytEr~EP?r0kS@g=Hh9Dw`l5{E$rtoaqYqSVkSe|0+)+pZQEh&g{TeGuKpd3wa2 z;{q|Gd zzyv4X;ccq4y!48-b%~0YtnPf)pPxaCCBDhFz9YzCDmA$3bHqe<-+=0^2X6rs>hsnh z*!}J9JKX(SOBEb&Zn5#A&xK*eF1g<8(E5T(6>#XdE|G7gR!p3aYEW7zUz4+bV}Bsq zBe-OUBKDhl2P^)Yi#0faQ*B&z%rb|7r^D3T6i;3(TyiHBgzC@|YLe!ns(S+m5y+q7 zS;zk#X#a2^k1o1yClx3k;U^2?**=bBmaF#79iL5Y>Ilno$i+qS>nte~BT%)CaeNQLk}PK}1ggf;W0pGX;J(54_mM?9QeoiII|LE-~csnq_O5zR?Fu>>I8O^6xSV zf;1~)NL|%{T!Z`?cOK_6Y`Y1dNRs*X_K~4P@8usr@WPG@JwO>Q1LE%DB(|jVmy_OU z#vqETvw*Eu&Hu&8Rzu&P!z5iU?ozHf6s#Zrz6gF4`rvT6vZrRn_f?HU{sis`NOh~5 zt+ea1B_&nI)!)-8$NQddUtv6NX9|MPZ#@EkF{*Jp+m7aGXbo(UN`IXMs?C$?Zbr`0 z7pTdR@JH^d=|A|bXjlSDE&4Wb{YiU`uf4biCC^>rqr;Ue7A?f~6XD|$r3p?G%nJ|P zrND!pD^|vrNPb8%bU1Hbo;X<}{C%`L_s-5luwxOFHXkfRN%2%gP&qEpvJb$j$bA_`F3$YpP!;IU)25K z@Ha?Vw*T=>L<(Q%YicZ1~QWNCsp;e z2mYV5rQ2U3T>*~&sWiWhnO?Jy)C;*y)Q3M#j+k;7X9QCdTPll5E2Y+1J1LNOeX^{M z``{46dA7_}9O?FuiTF+>{IiutU&LS-5Tra<mN{mmOyKu-tL-BRIaVT;@ zUr%oVbXRqVE6*PNIQn&NhZu~)<@BC6k}q94xv@VSrQTucFQh6d#3NH&bCm!{xxzoY z7d=>*gke422!(((L#p`63pN10rU*JAL@_)VK_|4Fb31vE)IKqD?HQZ$tzY0{Z_0%P zh|a68kaK3d)vz9G37GAC;g@nPTWwF?Xgbw3U-T9GW)Xg#%MU1qWkD@+qjIN~BKjG> zoSdAcEiI8{M5fm52%aOv3QgLy!F*@4w=Arbe9pPir;UuUl+#r36@P39m(5I(QNU*F zR)!z7;b1{J`QE|9mbRId-E*WX^QWZzbBeN827KWomz;siv6W0V)%U17hqI!%xej-I zjMuLl-7WoW(8>jX(gHQM_~ZVCu#PN$of7OQgUHQ~Q>1OK$0v2UCa#JDunVO`h|5qN z=@t_WX`}1?R2^KO13~O{70s|PUDDw+H8bvx+(HoX&kPNFZ~uiHaUqk?8&a+Z@q_npGPWIm ztncv-8;$0U%y_rkyq|WMaN3>79odLOcfY{cPLr0x=hNUgQ!cAno?$q>I(a9|Eu4*- zuQLc1MPZc%@>h%&eu4?;q;h170DN6;B+I+$5`>0$$#3Zj`_(OBtT9dFxPc!5X2dlrM#>-pX_ zpG|hh$~erVx8(|D-$jYV$c6AE#$%FLTh6y((*^;Qfi~NtV7o|4LZ#4|b#RC;<0a9i zRS&gTzD&rFTP}+MP#PO*2032iSCdTQK%(RRN331k@B%&s*XScnaAhJi6waLMiK}Gth z5nkRrC-(!)cm?Fs9}{aP@u?ui8X!lMzz*OC32)kxS5@2_U`j)jyjN1Govqd{!J`QI z^SGS%mKq<~)TbwSg#Dtv$9$1i#0+=eFn+%V3l*I{x2+d_7t0i0fshR*AtbTaKc27+ zzjralTVhcb{MdZDxl)Z##H&lLPYPC%l~wc7%1+}7l%QLs?G4Hr+9{Jdz7>iJKX!rcu=>E4eq9omNRJ{thpQ7 zQD?KGL1@te%1?A-GAVsP3hewv)6v#;T zN3M_!Ysg)lS$_0Vh#=dvAk@an37ORn*++s;84!&THE2+@0EjSQO8h~e|kOEKtqRtsvh7diktws9W^cgis>nnDVj{I2(!RQ*wGGq1qunEn2N19?E_C`%*T9Sv;i~HM{@-i{{sX4^WF(L^L21|>?}pH3 zEvi+0V%~eZob>%42$0m83u)s;2LEsTe_4h8zoY#BkF4Ya*1e-LHso1|>I`K?e;U*7 zSt%Jtx>$WqvmlpXep^{(ZEgUZh`ELJV;e(0M1D5v&u?kY$&R=NGQRquWMm>)ZzEzkvWz>mmR&$-yxLbiq=s=i%8 zC=_3|l4`kD?uxMQUcojZm4lBv4&OXcMelNWB!+~1o10VocEJ(yO>XxYSF|LE>mci+ z$vvvsAd!+^tEjYQBsG0oEwL$af+C0^=lx4Gn{Hw_Ri~vEJ-Jt@MD64rKMW5cEo^9IOm&THJX)xqBG9kdMX8Wb zQ?+C2YQoLAWUq!#@8NT@bTh;Rku159iea)0-VE`b(Z$^lym%Lj?c{6^+dLN(OcMt% zfz`npgVpBP;*uq4JvFi+^<|p6R3-Xt+9jfXhGZX<<>ZP6-&*> zYE=_oBkEwGGODL*sMw%i`PPs@B!_49r%8<$w_9C9RoUWii-n=(AJ$ByYY_Jc#TT^R z%FLHsqKRqV#YL$y74oj|7W(yvp(^;ozV#H58{e9Zy>=5se)Sd<>`LZM$8~!`g+)ty z>9ke-+K8haYxrQgeNdUIWW4AWHhTRy>_E39KBnEF`uvoRS~nOz;er}=np+f6 zxrhznbjF+gx!c1!divuot9BWy4Z$e1Jmuq>BI7{o)Ka;_A$9@oWN94K+1iop))7{9 z39}upj=d|~#5}grsfY@YQY(}m)~2PTre4fyAvGx7`#Ntdo=rUlF+4p$x=L1}o9N5e z{uvzn3bBjYQ7bYEivJGFJ7ou1Ez!2QiQf9P;Mdwqd#O2mq%@?ck;Ac@RDlOK9g78P z!T3#kO9$Kb(|(IC*L!+nw8W4JJHfSqQ%=H&?b=oBH?Uiy8J-b5}_Sh`>eGL||tnx*M4$GTaJZv9jz1@9&G>AebS5y+s zRHMqA)$geuazHF4O)y4-q>iqNn@KEOcv!$Q`=G#sfnQ2AnidLaY9-m$vw{}DxF09=rYmq75;-x^YQA49*(%yGUAQSIKtY>AlU}9 zX+w)KSM!MtAe@9~_+mId^Kuf^ZI{!2%6|JsHd~pkDl{eRt55)wt2W2H{e14ui5DpE zfnzUJA{~3Hl`$6!!`w6^?{YUvXOT4uPaHx0Awz0ymsJZDj1-OEXVo+CJ9*sm0 za&Y%JFsWy#co8Pq9!nL$c|D3~VcYWC^(=xXmhBc>blpfA#xIZeW@gsYutb@N+SYep z(%LBB`+@HbEc&+h8=z?O;d^TBwl^wRmYL3z&i(aAzTK_d&W>rx z(3*{Q{Wc7$v!;cm#=@=GE<3l_#C*fnB9Xf#$V|+);Jn0) zY29&>ksCf=uCvgw%oAK$tXWT%#V=2^q5dVZL%GJ1)A^hCUGLhLFv%mik^#5XYKllZ zX1R#-3A&TIzH_@A@=Ra~I$qe&a1eKUBCF5wl7QXBo9mEV zwaH1k(8lBuAxU}^2KJr|zlU{Xgq^59TY^Ru)GXUG(Aqj)jnV}5lzm_Nrhl(>Z+}Sm zOK_soZebW|3_fM8N13|gcQhl_s3=Rmy#gOhdYRUZ6YweV8^8Ja`0Mpi@Br~R@kFZn z+pq{#Hr@nkJaH9B#Fk>N8;Ol3gSqv~a^R>eRh*1=JFB2)E?@a%Tb53Dg-+}8OnhqU zuUHwXrmfWT)rCZi+X?}n^e!b5E)F5Yj@qiZNA&kJ=|oJ)erKCvmtEHM(^2{xfQP%! zNHW1s$w42Q(4z}xLwyq$5$<3IMILc&6S}uO@5H!$#_L(o&)sWL;5mmtqM0Fp2 z9F>6(DSkkb7W<<14#zumW-Ng9AtN#H{n2$N2}qugqj-9K+AfiWf15~r6rxmQF2qmij;PSBS5^{Bd2sPJp7NN13T zcYTG{OC9$j;gA35yd0k2xbR}#;Wo_)f{{!^L1UnEhruAC)u3vl-xjBtp~nO4&hZUl z#eA2=^Hi5+rL9?lQqXek4ZSlu5!ICnrR(8%h51!URrs)wR}yuvbhNkgT2IO^720^O zX!)jUGY^ehTolZGSey6#{xdT3u@QVN)rEc@PR*q%260O(-61T^NcQC~%5n#cl zMCh04098wgwA^jrX>kqx#?wfPC(0EA&RWN}$k0ON`(^y`oi5!yRf<7eAg{p9Pw7{e~~+@9P!QfLCASg0<38jwqMcLw~>AT*F?U zML0hbR5_iTge$I&*Nm-Zym~3bdcO~4zhVu`G|?DMYkA|J_UC=Oc`FapN6}K6yXZBv z$mI5o$Hky9iS2lC`bMG2^DFd!K9m-0FHF!JyEjOY^tL&DI=JsO%&TXU)Wj~cjBpul zYH>K{+|vhk$nU)Tb4@VZC=)cZD4Oay0p2<|ST!{)>`eAmbY5RPYu$ny%x1V)t4Lyb zL*~vQ3QPDmJM=z4%=?0~F&@D0MQGw>%Y5eKg>v8bu=p-E`v%i)^rQyeU@i|QSNjE< z%_Umw4H za5(72=M7}oeAzU4Q@+SoV%;%cj2`{S>Cw@}h*u2>4Z9WKBC z)!8oEjD~NzNbsJ>G=35HD4VKRjr=t~oW@tjE_wbQiuG^MWHqET7LVje<)ldqSPY0i`rFTb6JT|TJ<`kellPE} zGkcZ-TSI~5KSP^~6ind`Q6+=IEA@%Jw3naNoh;BGU0FS8vygmfqLk}OO6FO}yk~O! znSF&~@&zszc^y0=PAyqG4v*3@4%v4iV0nk{wj2(+m;T-RWFR|dfKjx>NQbJ2^ms>} z5(z*WNMVVi)(x2xNcV1m=9}~Lr_BAg#o9J6mR7aHXYG(@`5ku8>F|$i|B;RTmzB-Q z83YJ6h5mn6nIZXcA*gGJlB+~3IT2BEAt}B3PinWPd5U=am&q^x1m@^{P(KP&V{G3; zo(YDYk6`*ep?3mDb=G8nMS3Xf2Ia`RTiS@(V=akza?m?J*W;_0kKGX|zGu|(exiu< z-Kv9I=#F`q)bGR?z{^h`ic7!==GuCWG#7o)@E;dw8k6G>gdrBHjt+Mue5K&zE)uvf<{hUWxUT=mW zuVd>E^~F90SiY8w>V(nHlzNuxcoiks>Fx+yLsZ(w0R281Wh3m>xHB+3^@RVqUM- zYTp0s9;B{L%}WuI1asA4gFIFZbKt6D18gPFTC9erk@-Q!Z>j_-p{hT?FUPePI-Tx zY8Q+UNQo~|b(%vPTP!ZGN5oJ?i#6ThBlF#}QU=pmabzU3&C{0&TH^W@B_ZkYnVQx; zo1?d9v_m^zDcbgJ3l3wIAIia9-l%9WY3W+nQaUa9UstH7F8`?+&K?SR|Lau`>^VBe*9g0k3%YoFCWy|N16fR1KBA>^-O; zb{a6=jF_Uab<)i6^SB&|`uKfxmQ!-ETKN#lY-5Ro(?#n{ zubc1N(mTDUNKm7bIu$VROL)#wmj;7nP=)JkVCNQA?7;}`kKgoC8Qiro)4L{*mDO$z zxFcQ?pE$CsQT7V!q?`_wx7N!;No6XoI1clad0uh*FegTT;Wlv4&+WX;j#f05M}*k~ zg&R9><0#;DkVu(cYLKO+WhEkRz;qoQkCG1BTOd%|^=;~qLou_SH_VZ(pZsUeUMR8? zB=&|0@VU&i_a71@4xZ>v`9Eyn6y#wf4}|D;Md*16vB#Nf^YJr_4pgUbCtesjQYX+m z&jg~mpj0%b^j4RiT`z^k6)F(b0Ob0rZ7pGTNn7mf0s+uzff=~%@*FMKj_7aC~)d`jhA^=)p-#NmA4r;zYR ztFGKy@D{#a8qULN{(HGf8Xrd&v-kJ3kt^?6+4$WtDo<9&>=*IakkRo$A@_N2e z&CBcCx8Qxw^z3um^ogH*x0@9hh@S2Vk!gW>*`2|7w(A^ydc)8C}L(GL{Ty{&i$|Qi-0hPiOKulqo52o%DwdnKt`_>6jiw zX{F)2BL$}t`>8|)LQPvYdzmTQrNo4NS*!Tu+)Ny2M-x-3=}Ic+mFfwlC1z%JxA9&e z|N43rYgK2%>VyI<7aJB<3KE6%nH3GAWmHA;338|qr~Sf;$P+ZvVMAk;QE1OE!`NGM zve{Qp&(}Y9>d)sp01-bi1bO{nK8(?ksgD*O}mMTyjSO5ml--4gVvlUHgwj?L-$WYm| zKk&$m&3<{n+5XT##jo14#f?-~)6mBGT;IIdZESakcjBKF}TI7j2i=G)?o*I?|ExD z?nbp-ds*MW5F00DQGHfg=D`y0Z3FZsjCo_kx2HgZ%H{U{r^VJnSBbO@?LV3_*k0$z znraC*0YnpF1VI@;C(YNW+o26Es-7SDVNz#o$^2X$GV-i_b zOwN!7=DBn8YNqS9_tnD*J2KS~%ZInQ+4SMXALyI91rJxky-(Y9>jB^vUH4^gxn*zE zV!)?_b}7;C)b2Mx)>rWG5;imskA5H_-;d2pk0+whH{PfBhRF65ag+dniG>t!=`E5LIZbxpXist*5ub0pS7AReg&8Oocczv7peRS6EN*IQp(z zK03oO8EBlZA}Lvz)s55dB{4peCzjT<813U;*_z33%k!ks)&+^>iROF_-jV6^ia6( z&H)yCd$Wtr<8$e39J>6(1bd#YI_y&wj)6Q(r%1A$a|q6tSJ0CF5@waJ6QVLvhK3Te z2Lq3zAWMXcLwN0rp?Te0bWC#Mwh^~|&tV|l75RwoAhx9&zvJJ ze%mYY(!*G+I?1Ih7~40z*_TLfgW}e9`%W_CGQyNWuDDS1oxH4UY2TP~#Kibye5Yb^ zb&&N4Z#v8H&|y+G{ec)$Mxt!E8{JPnL}Qh1?#Z3I^yIeVfKdX%u*tYMoj;=OJsDF8 zwr?ynq|}7MrK)fDe-6jW;@YA}`4xBg`qX$0#$$q z(5FNg)yU7`xLD3JG+4a=<*o#cTX@Os!dp3OlQ zFmJz9XT^%>6X4h3yRl+?T?}2tHj4%|1jzxHTyX=wvKOQx@FTqHAatFE-5FXF4oV{l z>OsrO%)%k$b}#-veI2<%qosaggKP10hWRDE)22mT1;uRoySd>;U-mXM^qjZ*t}H8W zz9$wHnAHS*QDT;lj2yYOoD@KswJyON6`(krs`&Cg0bs|&xHpyARm$bE7@Q@hh$D{D-%au}~e! zexnv!TLL@0NKt6U+ek-S<-s2l?l$Uz8%yhSVb0Us+g468OFvtHVN+$x#hOdqc}l95 ztgpn4`2FIqE=zjo&uD@;2S?@K5amom8BeFMBT#+ zBU$8Y|E~6w$trglcHYXWOvLW;dU&GPlcS<(@pM_~i24vccDFuEDW*g1$VOaO7HO;Y5 z66CVpGt+BP0oWFbi|S~VnEq0TN^Wa<77)BaF{mcPCdVyWP^f|3XFszW-OJ?*ckCwX z{Vl2F6FSP`U%=ObFTk_EDP7HupA3sB=k~RKLzu~92X?Fa`uiZW!B12P-k2P!tDE`$>dI9n4qAM4(##_~C_&@}u*Yxn-fwH|G0y2LG<;lG zVDMDhpLWJK(iO6^v2IWuY*>eU^V44qirpPMtLeOc=Cks~kol=w$hCk;eslpoy_Y|j zCFV4&aUW&Fc4tIURnM_Mm02!x!X{)+Lqt=UZ!o+2T%f#IrD~GZGt)T5_VMO$lGnBu z?BYQ93XV>J;&4ZN3&~Qe-<=362nCI)oaBlW~{D_W;& zX3ze9dN<5z?!T3j>FQi>%5SM((u9QqX{9q| z(L*C0O!NklNX-ssr!6-95iZyW58qyr2ndvg?2RaM_4qT(-)} zN;89Q%pir&jgD?9&pj$+P3$P!??wood+nFnN}hiAF6uGk;gggXKfzKLO!oeRwdfuS zOsNm;lt^m?H5Qb^(lnurdoS)_un`5ze*fpi|2QfW!XQ5sT<{kuMh8e&zXjHQ#;PG^ zLcBb{uA=!ti_HBr^x)Tir?^5ci*37bd}V?ZrHw_<`)(DN$=B0(`ZD&-{S`5%^UM?e zIk1|M&viAwqy3KMb2`K>8uu3_%v%sP3!z{Qb92*OQ<>VmQ5FUu@E&^BI-X@v3I8^g zQw_v2tnRZY`LtVVO!>y0%<~-st`5IOLseth2YM?JZmz9A)tyH9RDp0lf2N?1h@iN;yA1mN#oHFg@pF)xI;rvmk{u6 zo6X`!;bSkWOYQXLcn!3QVCJ0v$#cZd?c4LC7g-iEOq<0xX`&5NX|<*smAs8DoQ@gljDaR+KNUFOshuvnN1VbM>dHj;7X00V;rR$~#Xk$u~}v zaao`x-@SucOB9BNlKG>ej$>;A)k}O0jjGq4d#Tg>rxrEv#C2vKr^j4~6{+L$Y}=a( z^pvj~Z9n7YYjfS3Kl?D8p`d`9H|J6w5!nN>5mV2xEkEI z0jo)?CGR|j0-U(E$dd8hIp?4psD&iTt{@(9pR-XDOd2w^q#JO^4j~*;7L0B&W@-DU zIct`h=X|)$`OGX%zS8V)*~GE2#oQ+Vga70G_a>#kdyhz`J$sF*t;H_ETcJ{J`h(cG=^h?sU(|oBNGRe-2MJ>agB8!^BdVWmOu|7Wj zEy!IvrkW|(eDpJ=53HU8@%S;UeE0fq6(rXCp9PXWGbn zPkLLF#U69W#zTt-drs#JMW+vBM$B43)a=1i+wbFcad)zs&nHI*wM^VFNM4$+-hqhK zSf`5!UIt>Eb|x3^F66kI5Q8W$A?MS*d39wT+$Dn@?Y_Hfr8vKHd7tnKz@>fZUzns# zlurh%)HJPVdrkS=7<%N)JZ zd-d@7C9wC)GMxX`raQmhF-;!{Y^rz8()ug-OHKg zU*$?W9~9@e{Jv6*$NY}{@&mSZ&uy?QZbm+BFs6Eav8&R zq2dB8IhwNC8$=f)(C#{ZGHCCzm=cn;R&TGR9?}w{BFCYy`H-ai$SZ3Iy_bJ9tI1Tp^BLU$v<@XlLdIy2 z`R<&*ZsapWARflo%--X(tO954a${^}f3p}4Vc67qxEfT-{4!U!8vEhkaGA!*04^N&~mRU>Nu%;s-y4Q(gP&_Z;+kl-u~>Zd=MqjnD>zgB4!_T8@%MfTM*T znF#&rQS&8tD5o8}-~Lw~(zw{&kD{ui>c|5ny#a(Q!!BeFX-(%X)B*ya5;JHOG;h6( z(IA$x_UJPp2?*eLf0~Zr^M-!(pC@B8Habd|_t52-r&?}tCy{OmP0`M--yp1ziRX0R zuIzwYC1j<8o&1&KL?5%p z@=T9Kj7$W=Ow3j3wYL=yb+eOaiP|_tT5-7q?|vVs}epSJY;|?}L<+jnERPF83 zPhT|8nJ9j{QUTKiP6Xjv&$4&EOaE2lH6F{LSzq=;Cg1~l*=GV0U;MxCO3lKJ%?Pmy z{A<_oR~ABWykB?Tvct@u}}3sw_5yuVqOd( zZE?5#O2vLj^hwX>cIkF{((Pc%cBbBj2|w>oK`dg(?FE=2+*mv5Lp|dhk(4knY2(o3 zPfuu@eB(u_vM3fsJpdprcJCMph4Yw_q-OLO54D9-p`tAXoLbYcZJV&V zsbJ+Tix|n411Y=A2lsby&i^FV^uV+-G|bhevKlohl- z%>4^SzacBB0QV{>D4K;mNb)goV6(C+Uv3xybm#uwB2llvGxDO1>inPAawE^ z97qgR@H^h@!cS{$I5=G>wb+;pw3)S^hK2KvTR5C{x$k}K@?H-|Z~>=;!<*Yvg>Y#m z8j`5sCd-Ctopc<2)oSijaAF9jY^HTNdH)lpg0jS`74MJI^?mb3ZFOAE`!kNUZf&Z5 zMOUNRQi}(U#JfmQR;_wA4?J$o*X%+p!Sy8?iy7X32~w%$=qX{gPBgZX9?~9#2I>88 zhzTNw8MP0}Ffgt3f9r<69hQgXy;RtNiOQ0w`l*H6qO!mTF2z_pzm-cxbV_kca)VP- zQ;a89;5+-ucMIj%Q_p0AO35qd_+aUB2e3_C_e;SA_8fM$d#xAjDvfyAdi9n3LhdyW zjFQfkc86PCDa$!I$KEB@I&YjcpD-d3#y^;=BX>Vu=q|giB$cY1MYYry5$~Ivz(qu~ zk18b>^o7dQg8)N8@Jvb(qwjQ6-m2!t*R!wyJQ6B3Xl$xQKA! zYXduQ(6!r3-bbCpAo-A!zM*e|a+rCDe#3Xn2o>K5pU^X!WIS7AbCbfK?V42|5@UnV z!MQWdRDsc{=)lO_-I6ktzs1aVa4lHnY?#($UKrXyMZ31bf_AcAXWtP%Sa; zn|8PRrfv#)f1^8`(Bi5IyQOni(EdYf%kYMSgMyF zOPofHo0q+4rOr%Hj&Cf#$^K00Z#It9n>8eub3ZJ{D0-@Fo3*3PXJKZ_wjjyw@A}_| za2xCMPjBDcLA61uf{Jek+?%p0>!?#kefAhA~6m{c_d z4D#i6h_*4Fn6j>9L)4wpQ@=)0&GVPe3U9pO*005b*t#v=Gd^+ZrFq@%djj8nRky<$ zL-C67@J6TAv7a1bbzJBhW7f~WX}I~VMgd+3kd{sSp8VV{iLR_h?| zZN>Pa9~flq=Uel~(vp^zn-lp1MI0LAr9!QCA~NY?PN!3YOgn3VdsWH{)h$2X@wujd z&RBLiA1Ui=T&Hv?>S3i7psdfIPIBdh%NEaSJyPQDW~;S;Nt-P0l?h$=B`8Y|bK+Pg3W&7HITr{~bD(EPFx6$?>&9u>Bve zNRfDVm1M=xrAMi7tF4=?Y*I&wOe_OELh2vK&j?GsV`;)B0lW@bcI}Sk5vRFfSLJ9G?=}eO`4>l=qctHlk#f zu3_5m$F^K~$NVsjUTN|3u;6AIhc?gRZIddEO7Uz|$kmAqWn%z(im@|Jp_ErzZdqvgg_323uf?rt6QFFfuM|aAE|& z=m@a!KNo!RpPZW!6h`oPrjsUHl@DdhPYlx;AZaKsgH>CBNG~;n0bW(**3#uJ-J~Zx zUDqUmc(#wb3;~oIjY3|Hbefg)hX=4pAHH0?FT6dITsm_-1^B6TC*Q`Pj#lh>UdnQf zskOt!_C+3s$rBsM;+5RtQn%zcOub}A; zaPxY9^z>1%;FmTVAKk^DNiBRMaiqFZKn}wEmXD9?dhFMH&@h9MSCfypq|dJN^>?G+q08|z09H?T%JK89gZ_jXu}$c;P)-~w$6@pcCG-U z?H%4Awz^x%Ro{oHW8FLVV^^${(-WH(huMhQ=ik3ye}CpchE*h$6;T#=DrY_(>1-nH z$8CVjwDGK1vZH45qRQ$i@W+1`0A1Z1A79Qd({No~3LjQeD` z0s~?auK6_QM@?Bx!>IZ)i`nl|2{f`>U%&XBMW8X31BTOlST|%1Whsy;>Eu99(>EyD z9(W50U+8Pbu@7S5MPgr{N0i;o-j7hr;_^PMH_WF1C{IMJLp-jNJwgTko_h z>+`{_gnen#EHok_N^*NXAA&bt8D86Ui(|-H zU!?SkI3$Y~&wL?daVTuPAYZ8>GBydHnAwn74UGY&BvHP*DY2RVqq?XvXkG`HDG61< zv@1KA@LfEy;uiavNXj(oiet_ojmm)y#O`j^D$z1*TTZcT0HXsR&WfRJQQ?_3Cp(=- zIIxOu9&W{DOvhG?BkrNf*5TSutDHJ9t7}1B2MMW7gI=*L=kD|HD z9VdI-tZE#fhm1a~{Oc+_3_MIRJ_#mm);a<blx0mCq>Pxvj=DYQn;VA;)>;51f z?ZbNS3paC;M$L)`F)Q1~5niS>S4*6ms%$Yio-ClDL*zG<-*l^RREIK2Y@r!w!&#*2 zrM_$*OniMX&s*30|@lx8E1AWlwIEx-l^vOy^%mkxkzdsKQfNj?V%7n~xefo=JXgHCS^v zC$#9cu{{Jz5q;VRwrLjN1bj$H)gw2%<2^)eBKSJZLg!q>ZXZctnq+Q_6w5tWoZXL^4 z;D{}ppMFxv(RXP${)mFmEstiY3Y9Z@lVEQ2ptdsUX z>f4+OxcNvw-GM(>-kJV;dvUxp;ZHlY5Tz^s=mDMY)#p#Lc(^XoiK^C9Jcb|%*%{7nu~MM zR|(Ng(IsK9i}A2X8!u|;1rHwcd7q@1e1RSWud+199UI0PPoM`$G7H~|q<AQW5b(j-Z5#Zs3kzXQL>0?rgoODo`egr#AZo%hB z#}Iq`_|T$ZH1pHr>T>`4*ZI&L!IDEW8DYPq#aD51{aX-^1$Y(cbyosjx9N6$bVS{e zOt`vIUlD!4NP66P4$<^8g84O)uLsj>Bd{vE=w>>9Mya9xF-|{iccdWsMSn;eC3Py# zT!vH-{sqfN+cPT4xg|xiBxtTf^f&h0H)QI(3l*A<^4xNaSppu-RC!Pk$t#Vu;*Yk! zD-zsRQBNht1Ldo3QT8_j(O}-(t}v0?7tgMc_OO^T<4H-u1({3@3`C{Q+w#fjt*zIC z`}1>`6q}gTc-B`n&igL@9p16L1h1V)L7dcV8$Tjlk5TLLBnrJ2tZJA8`ea6D*e4hu zsuN4fz0y}=Tu75mYmm-qH8W&UIp!Mb2&)8+)CnGA-3`4ZL1iH4@ipBdB) zHl;;+Rc>m&hn!YJS`EjyWEcU0MS;EgzFgO`d)Lr5Vh1$aq?DnA5?j^WpbXB>DrfW@5=>1)0J__CCGeshkEVv z=#ld0diyv^H+jVLOxUZV@>S5+yP6t5Wt&*eWSNB_XCSh zak}<*m&Ef@DE>(T=243~W+*xSW=6!NK^+Q&ZGWK37j3hSk@j)kI?9XP$=cCqLwx03C zK~XgjXpO)xqD1^sUYj4`GIVrt;Z+gh)P5S z=E-bi-dF1(N=yaQ;ibn;U#E=OqjeKHjgf9ZI(!i8)ANt1gPExkbM3jb zn;KJ^L9B$1jweVVMgVaPP?1qMlbEpoD1gk&0N%2T@XbI3F^@wj5OQ{n7tw9%ujf|` zOd8yN>DzsGj?|ED0JXdKEI4~8EGhu>GhAhEJ5#b<$FD0Qbp1rWhl%c4wRJ|EMf}HEYgm(z4UJHiu*xQh= z$VrrY79wmsI4w>e;l2?5Q}>_`SA6Sm%X4P(mFn+b#E@hFY^fvv{cqNP|J#5B5*!2D z>7D%xF~C7r{=pG>)u>(x0F)O>_y0Kv@lUVuzl=rJlL0WG1u;QEL18$=f=!j=ANtK{ z@APzixf~3Moxc);Da&Ew|2;T+!2q!Fzl`$ybnxNK7^tc9Urr46gBDv>W}}k~XND-U zEwu}a1f8LI`7_Su)#0p}!RrK?7tH!H{x4(DU+z+&_9yc$HUtJUfS2Q0vcAl8JNo?h zD2vo{g$V_1Gq9R-n5Sf+%HUZf(}wWkhcgTR!QDy)5J4zxz;rLemS(kBmF09s5XrUN z>I;_q<C8eUM*!wRhGdyPVi7_e-5LiYun+i&H@;of6ZxR6JM<9S)*E zQT$8mok!$qZDpW8W68TZ>WvwrPQ}CL(W7OTHuUM3M6t`(z|BzdT4FBuNfHaO>0QxS zvOB0-d8Kr{Ttb-CXskJ|0#^=Z+$rbRixCmG1MR*6V=^+mddFY!-!lgnb*)8Vp`kFk z@#_UHh{IXeb=2!51(){fD_3T*1g!xJBzKt>mdqJ$o&rawpGGXAaldplJ)`#GXho#kAb@ zrX6ch)-aHjQ7Z^~DG*FHge&fQ7u97Pex}RxNfv9`dk3HX^sp7ZY(d^JsEk$4E>(Fv z_3h!(4=|N!0J}1;^cd|@t(<(W3OU%+a0fDMdx|xS#y7pEKRr3l2PC!&wptw&mxoURW1v#G;38yN=og*A6L-4!zsc7hKq^X!**+g3QtALa*4@NCodB(l7vK}7MD z-H*Ry$-#u}0`0RKb{tHHaqzL&0Kc;)6&v%@3~jy8uajVAkaOuk+!auRN7*haw!0&I zdL!w+OHBe&Htpi;du?l4X5Ub7r~FaoW`@OUZO&nQL}zJ=MDl#JV;`IL0{C1Dq#?ui zwr3%2R}iq6%pwa}a&uWB%_4K01B}dwEY*sygE09Hy6VF4OO*`Hv<%dQL_Y3|EYd1w zNIK|Dj+agef@GWH=q6OP6yFBZR<`4#gTGZuV8O?~Z!;T8$YQ~GSYUM5C(FF^xY$68 z@RM_IA%Y+WD0=&SeVSVD7d|D}EzHyX^5nJK#5vQv`ov`dfI)!Zj(tYz!hoaK)nigP@LSrX~^xohT$2+>xPzo zekCYzuhV{E|KUqmrg!A&Pv56g_tJN{K0Z6)cHrLt*oT)j8ZUNqFu0!-Rgr^bobCRy z9)lk#erKYOH)v%M%%1qAD}!ZVfAgp}n$6@O-0I6x}R{ z@mvn*%FzC|90WsN=*t}CD=tq^Sqtt=IdzR*>I_}q%7aLWW!T{c9nH~u<xjv34Fu=RQXAOo4-vl=tZ zT%Kib!0=9XmVE3GeXolZKS}Z%x3N<;qnxxlb%5m7BrMDLOk>Q3MnoC+u&IaSaZ}gz zS_=HorAEG<$^&XMS*^LI&AGR@-e0nqC>6srmh~enQCkIr40C1|)$0`Hq&219hf~gp zehV$IQk5!7xpy`bY$7;XDuwv3&o|E|2zw{#hcgHdT)JaoJPTOcd1awI!Q4`DC)qhB zGIrE=&rw>0%1qqBYoc-(MXJGq> zj)0Bz1wR9~bD6lUor%R6%ejMH1D3Lb-NtwZY_<45QRaNy>?;E+4SP86R7Yn*fZTk6 zH1a9#->R=yFuE16zO95xwfV9a%m)9#+|9S~q;F2#;{mmYEmixOpRU$t5ZBvIHkdtz zdmSJ@g%yQM94vSOhjb-pdjn5IxOpW6f{bNIW6+qwAMI@Aq zdcG-J6#TcL$Rxw``0?A2g~CHe<<%sgt`Fu;yxHMyVMZek$&OvCxW_^7$P3TmRKrEolf3=dSQNjb zJU^?62I4H4e|j^9%-Z9)U5zHkccpi4L4K%&(2{!!QyjznY7EJKy^5fblWVq=E*(-u zKlNZn6RYAHTqmcz-S^hJ&px6sUkHM1D}c@hibAtIuVrBUPhHw&NX0rfCm* z^);!Nshs2AW+|_21#J~{Ou0lH0*Rik-X473A={n%n^e3jbv4g&+o3!o33?P8A0Rbs zwh1&tD*mSdoaa{N-Zz(mRyk6sbEpHbo2B9_HJ8ok(GT(fV z>$4}HBB;L3*o1wa&8w8)e2hnB2e)HK4`=?8nC{OKe=Cr$pqSBmZ5Pk^Nd8Iu3K*uK zpvY4_)NWU+yOU>wnUCO>BGc-!U0uEwkrLE7+EIF}77;<4klL7ab)1(Rk$!^-n;GQs zL-DU05gpf*IbQ4TNCOdugLIv09ThE2MgFe>&iO@N;`p6+-}|rZhe6f5R_r_%L3#2K z;R+Tg0jCoVr8k?NY7NT~gXxXG&FO?X@0tB=Rt8sAS|7Pto(nb0nIDEghlqxNs6Hh@ z4TAKugON-imeA61L~OUfoS@728}N4w+>Q-3(YM_#aln9F7opC4m9n!}0h!o%Szej3 z?&)lNR2#qZs*EWYch5>^Tq0mn0D6OVI#;j0Co{T!J`99A#oOtONp}{(TW+2<)83VZ z&vtr>tFgn=RFm|Jm1=yw6=_v>=iWMo+A8_&&5xXKSLtBr18((wh~MuUO4ozNYn}_1 z!``bOaTgvzabsmO##@DFpxeKt(r-=)floe`n}x9k##;ia3`N1T^>-tBW8>eYh`baZ zUFKua(|Z603B$7+YVb5Qj#dlq>VhYLfw{6y2krMsr8w3$sPrM6j#eBF8lwYkNK{@+1^lCPG;m|M z10}D{p?h*Px7W*B4qU4p>$^|sYT7wJrQ%+{fl0GNnp=RwZs=*F`k*GC?q94rx(lyC zzxtXV`%*Uzhg0>w68bOx&{6ca>ACdED(FkvK|c1mD>qy`5lb4cd|&0+ew-9F=~X_I zAM{$ue2VnnxBz4_Zxu+|{fIQ4Z7^UwJ-A=96cUuN%6(DLuc$*+W;&Xbu|C_3IS;h7zHK1 zfND6n?ssp4|3Pr@iR78Bt==$@2OG+fKY#wLVSP1#_5aPp|Cig9W8$fFua^)>Wz7a# zFyOv}DKRtFRvu%d3%6+Yer{Lz;IC-;jh4b1S@`g{P|=#%UOY70?d_AD1Kq_kjZ*{* z6QQ$Y0vOoOl*G|0YUbCt(sLCqTFbNDh|Q@dDRWyPkxVwQf<+pB_y>uilGgcMjymw! z3AWcad}5G8Mh~0hl3GCc{+vGfBU{oSLJr9x5W-q9B!# zG6^=gFdt5ba-L&CA4Q0Gk|M&ER?0R9nDCP>t<@K&-G7rJh|uSPLZV|8DpMoHT8*BV>47DlxbaUO75X(@+z6>E<~ z2*!Ke@z~4^&Gt6_4QgjIZ6>z6xrkj>16uFzZthPTuTA_aUV4x3I2{Aqqtd15kZ%6P(JzwrqIrbll+LWMkg5~0lVw7L(5z^Vy0 zYm45K90dm^LNH!|!REr0OT{u!3GJ`>(jq4;iWGLHw_f*vEMIof95S)#!qJ8J^d49H zlf^2LzuZ*ZONs-J#f-U6J0tJ?6nxU%h#HSoWQwu_q#t|imdVIkQc`#>)o(W-PAvw+ zQhcYcxCJdoBgt5ZdF+oi7wzX9@TsPE`2(U`U$V-wLOO;Yz2z5fDW!^|8N-Qd+xTof zG8YN|7LpR`+d$rH&>)z$3wBf)*$4{@ui^<03qUa4XDA&PUctQ!6Tf5Jczt^wKZd7Gb)vRhYqLD zPTKd3o7DS#-!&J2guQxw-=$vaU8GN^`^fav46Lo{er~;4d|(bV*O3^yE%77!8$h0ic%R3rWv!G)XDMbNhgHXJvwKS47{hGr`u?E zYL%2|l(j$a_sC?nGD1$K?lQKn9>UaWwux|q!#pVKFl;m7aa4W7%Ut$@pTECxKG$1^ zS&<*kXj<9ddGjuc_~2PPX?k*!DMfs0UYr^$M+%_>*=o*oJO@3q57niG(~7uiYitrH z?Zey@lT_v64dK2?4;6BSY-Y=}H@OFI04=g=V@-NQ$#-HC%jI8xSsA!Rd~stnG>-(D zmF(15;;3cJApL6l6+MU^DG-zZ99YV2F{{{l1|OQOHOtl?R~jRS))dGMc@zenLi+W- zx=uPZvdVU)*dhdsi0CvcDU(-PPm1mVFJj5>IrB+AQclz8XZ}*lCD>w!3K^vGnB!~n zba4{}AL8eJ0(H6Z|GR`vA20>DEs3ApMCEazJ0or+;hh-NO{bKJ%Vy*x=5J3g2$n&-etR7m3eBEpVRBh; zY$qgQgiTk+nnhD$Wwobdf@RBA;{19PA`q4|_Zv0+w?2hkRxr;L7xgu{Gx?I+LkpzKw~HP=HGZPTBekpEjY}m@fu#v3XvbztaA6j`4fetpoQ4eVlxzCj>y%db z;Bk+bFGShnGg4sj9&xC62r511w_<-7$htq0V*<0$6wog4Kh=Ir5|AlC36S-va=18= zV^h<4mDPtVXWp_CUA;z_O0e_PO?NdsEV0jE#hm^=IR)UYQ?yeytwhfbVC0Ie4*Kzd z{xEz-A_B(lIO2>;V6Lm-X7sv>w6NC_VR|+?FFxdNJnAH5qzM+_-q(oE3BB7?2v>*< z_5^>d{a64lk|v=2#7c2Ha>?D;96H~Hk^T`Se`L2*i=cgE+V;Zg7Zf`vU zd92x%Zlwm_>cT%d+x4!O+$!N|N3(OzD1|G0MZOoU&Q3wil=#FT!+<7IY$(~=O}(E^ zaFLSoCO(wh)$n;2LrG02r->gt&*m91*&kMdmSde+RZ?B8gUA&rt@_p6c+U7?pC$^m zk)et3lj(29S8JVuQLa4P39B(mCMcB`x!+%ti{DMpsKnbhKDlfPXuTne^|g=OHEJHM zB9xKgZ3d3-K~p?B!m3kp<%i_$S}J+@>&(Gv^F2mNN?qx*xp#okt(iKS(OC zYwZ3ws$33jZYEydR?!N+8D03_=0d_iu3YFT>e{UJqVD0*-SO{zeYGzj ztgKRcJ1!aj)))!L#f0|x##`p;rOu@9iPS|9QtQ^VbCdv?cJ~vvr$}wl+e^p@k`*V9 z?^Dldt5MVKeVSUEYz6CjJN=PIKl=Wn z`XY?q;Q5YB$Ysm&Xj6<}V@02PSb<=xGG0aNOiQcj`TKTOgHqff-uxV+BFXjE8KY=5 zN2jgh9CW%lZc@RZ{1W$CqTfI};K1@!V4~2XH}u;HVT^@|1L^&x6{Qw@I-&FBWkl{@ zZ3%R~2ADme5Lv`h;00hP@D5e1S)crr}?p-co<%aLTt?ysJ~Mo(bvv-MP|w@aMw0#PFqFhqPL+ z@k?$X^`H*OY7oI2-z%|{$S+D0U^sfZz)UF^Q3oMwwRiR<4Je=R6)ox?1Rh)`2m2?f z3~SmQ3Jw~iabDV4w*h}VM~au|x9S$HCS9o;w3kmg9Lsjc;R^cZ)uM#6Rn9q23|J-c zN$^NWtqKDur;NX3EqLvjzk)g_QW+#wj6%(OaZ6`;%tkm(}Rke-y2UjZ00# zSvmo@Zc#B`C@78Nw4Io~NnR{jUYN(}$d*cjvfT;#?z26nu_R#USBgdKr_;`C&RESJ z&eD9UExNz&tM4|iG~jm!2$WO~H}oET`h9@};QeNwPg4c4pZ;^?6l)hoJiNeeza4k> zG&pG)j+HvIcXQF=Cy568d4=Rr{R1G;kIm*Wwd}N$5~ZolbP4|P_J`>q#hde+glf+Q z-nK?ZIx`Q8W6?T$k79@fo>tn&@q2Zv9`Z@=wuj0$Av}`^SD?% z-~J0QnmkPl4{kgEL$^GyTq}TuLPLf9v;Wn|B0?hFhLPxq9-UiNN|Fn0k;v%TnMvTD zgdzHLS)IBsxb9bD=!?t{HpV{xJHC1;GJf$ewT0m*%9%2!42zmx0J z=#{;oDs&jqVE^0+mtR=;bbsyT2{R46QyME-?|n#{Ns@%29{IRE_s|1})c0eKI% zCM+@-2P<64cp&06xZ$<5)v&^z{OpVuo)@%1yI;7Mr+mqEBXweEM0O}&LP}0vpd}`i zZ>lk%s@w)9L8a$;Ic5ii+15VcD;rf^d3_f*H7+WEu&m-kyjptFJ3? z#e0kOYxLU$DcgtC+c!I)Xp@1Kci;b*Drv^(4o0rjoB15JC5XNYN|HFPyl{J5+1Xy| zzh9Z8X-`UQ`&?uC=Z8w3R16WX&s;Xe=8S&Cvl6g-8=n?)1^0f_FMKcCY*_zIw46{Q zN&1t=;a&r%-g?UMBJ=jf0-sH>r}`UL8nbWiLn+@YI6v(@6@Q1|=+B%cBh~b2AEe_p zPypyGM;V9r?p9ihZ3&%bwhP<1HU;hGjg6Yy7Tm`@2Rc#;k}RjYf2dOSuu*Ra`fO9tYR zE_!HN`D*vupXCF@^q=FKkzD&4J~2`I@+d+68*^{n*H+hc3)4acij?B+?q0kUcZZ@W z?(PI>ON$dEcyM=$7l-2R1PJc#ZaKNG`+lBp@SgYVzxZV@_FkJc$=Y+wF~^u@cIZ^Q zPA=+VQ59AZT3#qgUO`izd5(B(O!RwA|G`4}GTg^uI99K{^`O}{C?xy-WgImdoxx+S zkzyPmWnYkgCrQ>$AD@s`_6>Zt1bWe_+i=6l7O~8DKQr1`+STf1D89xXXA!#|*xJ@W z0%YY`YRPXt3#=BX?idiIxD?@@BC~pf#0Yn$4{{3AEgy55f!?nQQ^{!+nL@{BDi@!8z9ihrq~VTR|C_;)E_JQh@ts-=%H*YJFx{_L18 zc0Y6&(pso$?^yaQxA`;Ou>R0HSn5;w<3+x=P<(89{^7$+@G z>zDLv3SaZaoB>@Qh_m9ALykuS)0#79@&@|aCH0~!6#WVtcM1@78kFGPAMjd3MzVYV zFL~dAW&+6M(xD#kr+rh$MeqDWsYh9Jtjgu2-OI;H9W10%qbKX6gVpw49Os`4_uH5l zLJegq-LeeaN{fhSEFgXRzx#+^X%=dM64s=zj!^y?VUFGV2L&0yBC%Zo& zK9(fnzGG%T+kDU*2obd0?f4!fs|@#m&N%Bio*`PRgIU|jFCOOxi(eq$M=zbFJrleN zvi!RIOB$x_#_ID|q}U+8WUYDpc754CyDFA;-N>`5GIzttK3UB2@D_EW4+TXDcFn2$ zWYFCWSovtRaGAnWpq#-;{dHmVYw^9yRx5!1@osl8HSEQU7m}~pTH`xKS)*H8Ocwgr z%z8m&!pvXiCfhZqhnSb&RHXA+oNvnG^rF8@c00|F9JepqoNt@=*PpG_UYgHOObUem zvZ9&E{C;@qHWbp}^rdg6PGy6AgWoWk<(QI%8aa?;d!=J$zNb~bQt-`6|GP`Si7Kc7 z=w$!Ec&e^mxB1)3sO%=9GVANVmBoJXk_U_#ZM}LtvAzRTKs5HYe$29q2==gRY?^hL z1$GWNSJZ$haiN94=@dWtCoIt6rZY6Bt93IPdUe=%9(y>Nv+c38M1sCRGV&PR+Wf7A z`e6e}>>}=12Za_F8&6*S@Dn<&*%3anK^4wKU5_KwL))H9?eMRo`tRSL_JZGVSZ)Vy zzfdSS1V9-A#I45k{CM1UM$>(GZUh9#)loF>cdI#6Y*sm0^H$xf4)Vx}bSgWi6?0m2 z`v@={cZ|nIXJ?n|w6Wm+9JCZ5m3{8#)4n;;AR{uebc5H1R!+Z^JU6qyeRm+4u4(YH zU3S|C0d4LY8gC4m1y03X-TLw>q7Gp5GfoR;y`4J)u@9Elwrke9HT7$zZCYO|~zarE=3MYQV?Sd;*aoA%1s3nD6)_4{M5vaLWvdFXR1v(^`f~ zoju8jMGcK_lUHw+3fm&t!5q}%inQhMv*B}CoN?;?;CZ ziSgo_=Zx9Xd_|*&rV5AG!@`6Kn$CBK(X$SU-9hO%tt8VGdz|#V&04`PR+EAos!oH( zb8d7iW$grSYSvw+mq?%@eyoq$N&9?Tx}*q4<0CCdz2oc5mlhQ^5P6>dSKx}-6oE>F zr>XiEvvobM48hn`F#&|q%mBjWJNYLy@I(7tyZeS>-x`k&>;PLH3#-hyK`W>2ccy~` zMY+@83A^bw_5Qyk4I40D$osP!$5yD#98|q|F2Y5lT*VG6NKnA3&$G<(TKTCpxjVw{ zS%lJ#$Fu;zMn=D9GY5d+mnXhfaY)!OsGA(>Yh zhK;r9m;)1T#GFHt(j65;c|TRsT6V510gBfOIm={=_uiwKB)#~&B#MME>q}iaH3-r!iz$k5lSv6{c%j1B* z1|Fxc%~y0oHFZC1{1y6DQTNH|pqH*lT*$ko?1>`!O~#UO(}Av@Y@y|1UHa^53{Myt zu>XWa>HH2yfKODQk^Y2;b3>*zN_JLYoS|kNAm-gw`M1)v=8%&EYEe8;@5Y1H6fi-7 zrAk^Y;qkZ+Hn5+m$v{!1SQC~YtS&EPYGxI+pFpegi2%LQ$p^fCz{;38iK`nr^#K+@ zbyS<{{cekj?F`vb{tz^S!@H8AVHu+LC+|A>OV;DPR4MXxElA$)B|n+nvk&az{x)%> z(Uh>Xcdu{5lsCuudAL_lHFWUIWp<-P!p6rYCgJSCCi4vP+JV`uh*Dj#-4l7 zu1wvmc}b9&sjU(%9WA%LA9ki3u`VBzw!sE5B=vomOW4X>xI}B4GxuQ8)7KNBU}llF z5*N`-Dl(;vOd$%R+i*V3RbF#BmIvGW1^p7d<4sN4t}Mzw_z zU?L9nbYE@r)pTCs5!}vrG7|Hk$z3L0OqepOSDj$Y|5|guytJu~21!+qC}56N#cNXj zmCZ=h_1;e`X_eU~W!CQ4w%3Yfqpv=loA4trEBE`i%@Tt;3K;Bqt7^Px-Rt`z$pdDu z0HNp(mav1EZjlwdul5DztNcE5!@0K1eQpP(jS^;3P`J&-M9>mWG)1d{4ve)}yTM|} zw;=UpoEHDZxhriBpj%D+bQk5S*`2$Uz?HlG=$DF!*E;BXQUmx~0b{D=pO@qV*w)E& zd^Xm(`n_ZczV%KA4#4(#BRiW5xr}=MN_DaO2FX!8{>`_Da4kIu!M)Y+7DvY*J7Qw_Mzo zMHJOrmBx396_6V$dcCEbrsG2Bi#$+%{`T`t6?LzE&{Kouh(101ndJ*2^a$mSERT+$ z$71BrORV~9o$yP&(_^SIeG_v6vUkEGTKMl*oViuJk?HSQsj3$S7QVvw|cmmmF1RuEJ+44 zW&1mdF}RGVwDYFHjMc?I)@Ck@c7+{eG7DtM7Cep?mI@Qn*`q0ol2kKy#6Y`hfy!&X zwUKHK3Wcca7X&|5A_Ks>LIQPGEL zRKAy*FoE$OHJ>ulgXsm8R7}|`BMw8z$r@y=C}8EX(e1|qli`uV{*M85*Hec+hALx% znmGk`b=G<{9!V8TP4ynU%%#|ZJ3iCRX{9v~p<$NCpK&fF`4*f~c-N1*#g00E@O0(% ziV%t}D~pQn^VFonV&v)QmVYwxkvH^P4YrIb2Q3ME9xaSCht<(1QC0(5Z?m*30}wI^ zq{s{c2h?7I^c#DzBL`x|-g({d7LqK2F2*nIYMgO$>> z6wno;Pq(k4v`|L}ZirpNrwp>tS%eot6=o7Hh9%-mO3}qdK zrcREcaNb;(?KK1_!+HW=)y`U4%M|zI92_k8XWJ9i4=THc`%{4%JRo+WAY>{lvY8R=G@G=e@U|&3R#XNx0NP$ zN*oY0X=|@>$^+lSie?twO%#C%Nt^>-)Hjulfi5x1lYguN-x>voKu{xxQVXrCa z;o~hI^nqXc%))10DGq=I#fuF0;gVtB|t^jyyH16J5a0dc_1-`pYY=H=>5ns!} zZ!+~1Yy-%Emdv# zz0THIn&f0#pU`dY*b+r=?{g9~F9IU05ZDzM0$BO0es0dx?5e`?r56JwQVn!AoTKc^ zW|mjlF0gq*kRF5IBe*|O+|?qDi)quzvJ7w`;{4-7O9-4k+HB#s%Zx4*%Lt_AX{VKY z*)5k>Qjx)Vw%0W$5}YU(E`It^|Gp`0E;K}5BREbjf{kV-eSsh9R}1W#K#-+rx#d;P zArAy6HR3y;$Ik?Ajy|4KmX{H~kW}27A65c|HTjroep>B}Z+d#eKLk&C4U#{2k$y$t zp#SG=GpIp6g<9QHL8-g(C}MVb`tW1_Q0=rqtE*=>pTlyS%Km^u2nF5dV9{cCXv`6V z*n&5I>9bRloj+4owE)9&TGj5H-Tu44uE1ZpP;cMU3Kx8JNJyQ#r^7-?ehAp^LH^AY zgaZqM93d6$V|BIK$>Nk$fvs3w-JL0J?n>=-qU`LXo~~%idtk)jHxG#Yh0}}uQ;Ig{ zt%foHp`ls-HI8Wj60>nLRNn7m=eZZtXlCIZ{#WiNkrIy9c5`Tw&1ZjPWz4?XsquRA{wN7%a$u~)MBH?Lj5O?+^R5%Cc*$1{tCb~!zM`EpJ&|ER8GgF? z*yhHe80hwqex~I833X=G1SUCBy4ZX@4y$hSCG9Hd z-Mly*sxl28d?1Cs-y$c2h>y@48OV>G7zWuat&2yS%?p;%4vR>s_QJomvaURx;d+ZgEthdk$-FZo~dj^)5uVAsiOm389g zUaMz6S($XTS8^O5UPR58EMKq`I@-+aYU@BGd-E+MIR*k#G?e@1hG(nbhGVZSGl99N zB|ue-B46&!%eE~lR3e|BYLY99h`!yHG4b0kQjNmY9>h^;GURhOq^mbv5o$cOp2z%G z(FMWq5{%6VB7CbnS~`pE0pMoRjlg3_d#W7(aYkN_JOTeQ{$|M*~LPw8<1+jI<- z-Lbv#>NL|fM3w3<_FT}fUznoE0XT&}9t7=-w!Dd$46-)1Jxc1CX z(%_t5b-*#w^_*otCAe@zZ=~jw_ExMP*wR0w>5#GVxR>jw(S84Tt48*4qx3fp_^iBn zlyv3`wv`<9)dK5W7p&S<@hdzlnU_m7S7GEe+4dW(8)j?in3ne6uGfzQXM(k#M#g(v zVS|lib9#dA25fU=wKhH5He!n6=5oK9@ULK?j1wbj2fPL*0|K_p_JW3oc>C|_MwPKV zeRLSjiS0@=9_OPYzAR9V!`3~clAo1&b)MjCx8}q_@&@0`Z%kvBkxolWdWzb0wl%RA zeST@gx-o7i^AUhy{pH*}eLe?mZJe7I&#lJg92;*v7F15#xh-4_LIjzw7*OD%YGSG+ zXZg9{oz_x(@0G;d;v{F$}~TiODL@pLnB2<1nQH>0~a*qn1u z9QtEcSMztuO3md9bcQ6gX7&&BE_$`$-xCxG;IH#qNcP*Qe0|)X7xkRtF66Rl&y>!HM#1+6Hheq2W32$Ue*g4B>3VCx)HWn-%bl6r=Dm}>CF7L7iZ6c zKWJwv$}}(atL%~7`=WzJG>i9F`MeI|@y|iselQaQ`0STD%cWHvoH%Jx4{++SzomB$ z7tyNMCuSxlRFoed(j|$42L_pw)sdO2LPOsIfe%gqxUy2(ui~@z6$&yp@7c09j)9{G zrwO3dl~-5p4}YS%e{TiZzGEH$eUiw_&$qF&gEu>*L^ewVg;WH_dip3X zLd>V3tIHuY&IWf1lloBsI9-YDS!^P6TKeU>mSv8`VRF#c- z$8)!d4IJG2&CUkXN%piq702`WCi#&XXbC(r*hpyOylmhB#&Bk_D=CX$#04q7&Jm|D z3b{k|Vqu}d@RdWul}Nk&ny)7L3)otSM11JaDr6(TlYbTZNgbEz?tT47#>JcyswCIK z`q$qEK_-M%Us!R`F3!(UUcL}^SZjDT{>y>>9qrLuYq)CO4dnMeb^3(2z{}{7ngFRo z;6r-)F4uAGaDO&z9Zx!>2C3sD*d+Pz(B8trB0R^{%`G7zAu#02tA8%AXq!&(ICE#U z^Ac$_DR-U7{e(#U?hL}-20XE{dig1v3!NsRS~CjhqT_-Ar3|%88Kcu z5s?<7W>564&FyWS`!nXZ|IrQ!AX;lzF8lEb(bw1m9$r%tb61a{G< zS6`Be;fJh99hDgWo?&l^>;2!G$m>=bJ4_c%6b5SGCL|>l=H+#7xrPBKUjAE7`v#D& zu^b@`Zgk(9jH6Q=9v)^l{6qQv?X6!M;;5^u`$YNazg0STvE@iA;=z|&fekJjy$mX8 zU+QeNyMi%Zy?hbfw{dZ2YimoYLYKl`8b|t1`xert{GGKmm)p~|2m+4T67AA}r+f4+ z)-S(5DJv^0Dh_pYeA3lzn7n-W{GS_~4t)%GynTAO`Sp3N+3Tc086xw(yTYg$F%>0x zns?X?$tfu|Ha3VTh?V>I29E+oeFl$~!G2lrQvVS#a@{I_^~xLN zj6VnYhap=flW{$OB@w&DUWX0s@4OrPV_$G2%bv z->`%euMrsZOOM+vHREQAt~0j;PykJ?*POfqNJoGF)@*zo*qSl zk%gtSsEG2P)wqT3PRA=P>0g!F{l=oqt}ib4eBOynTvB^{&H6aHBwN$iF`i6aNl7cyn$0?9FB2@QGoR zzdu@hLK8^7C%|wreIZ<=n{K>z&VwO_s&^J*oWX!3#jAQ z70a3UxeObgo8lXrTa%M#2nFB5NX7|xg|*vUn$)oQ!LelbZrCQ|Rwtbv%T*gkI&-Dw z;S!9Cs$7!V>~Rd6na`R-?Qd@Td*ZsZrDiDx^?z7Q$0W-@T>kTuj%;Oi$lMZD@r<)3@844y}=kKCFvZoKxX zj}s044s7-BlOv19MIYEji;cExYSCHEfQ6d-X9=^VWXXWWV=!4}ko_iUN*YUzZ{IH>8!fR1~pwONR z>gW5l{R*-|<85r8uqxE~pK3L}Z{T|AY=dGn$ZT(a3-VTJf*3O0+pJL@S{1Jq&Twd&EGOKF$$7*oui(g}?;^_v`e(Pek$eQOU)+pYM@ zHg}>1lG&f-;x^B`iCv{E^7HcI1Ap#I7Zn$CosxJz-kyz(zC?O-+%0>6^hKl1xv>c; z>u*k7l9b9mI0eSgn-R({&gbV^2DgB@A`d6FV|hT`8e0{V{&j&1q2IdHi8O+bvraRv7)(LJ;K-WFOAnH_o zI3U%}r>9@Ovl8u`^I%SvAIk>%S=mQ(n$X9005`AqA`^ck&^6>Ty4-FM}FWrKfD8_ z)$I*F*xLl;WGaeKxgU@7d7+KINcUy4zKm}t|Go1Qzg4`(?{af#EQ0I}80c`9^=oGm z?L+oDXpFr6xh+0ha}))H-jqlsF6LtUIrYyXSljgEd?e+^Bw^j{v@o_oS#dNxh2M5B z-<-d7(&D^Wi^73?)@iyV;v7u(>>bd!vde}gZDIep=hrJx8gSJIzlT%ndWh!YX`3{V z!|Z|r|D)f+$_;qFs&BGP$#cabG5c`udSVKzB{u07t1uN)gr$^#?%nHPx8evd9}S8{wT7>uvXfl+wsP(XOSdEGeV(@>!yh*%yyQ5sKk#n zs0=&T6d&Ej!04XH6GN+el1WAbdF{sahr!6NN6`ZY9px;<=0%shjIGoBbn%*U2H^^r zH)ME!E)aX2&U)NEm702ScZFeVDx9K=6R}rI)5Jc`Ny*Ejjzl0@jR4d$q_4-wV99@4 z{jY!8uy_Ij669-6z!b(l=5tM&M%P9HD@86~;xI1?T3jNi@hDpL?g6yM$WLh69A+i= zy{So~(a9^p;fT#NQ)-J-X|lCBAEBt#g1m%Y1{aL-uEc=%@*xvWZoUs&seG85CTV z&AUIi)ptf6tToFwzKJa*IBz+fF6>b|g@=nCvPJww9}y=qHnU|GaS3rc$vI)b()*^v z#6kQFV-Fs3kWB`q9RZ%w!g>F( ztG!+JbTk5}5*fic!n4lyDS_1}y-~2{Gx8;%a>Bw-P%|F6*}=@ROqAq%QteVtvVD3$ z+jXL;c%T!k3KGPgd1RDRP@(j}B8jTl%s%Gq)X-ZiE_tnlc(*tf1u!NjymmcrFtMlc zqtGO4XuJ7iw*Szh;*VS#z=}d*hw+EYz8jY&e*PxIYvHdJX33}Y*LLDQomGz8+KNF- zpXOVPF=p~^aqnS+iM6(eHbaj6>XkEX+E-pT6op)PEjewqG#UQQ$0{;|iwd&?Z*j4k z5PdWqfswf;GkH6I=$G6~9VwQZL{2wuJH)j#c=DV;ukS;)pni;8sv{pO<@_@TSb@KW zBkdh7OhwBFC2i+sid|0!B3g)1Z@3Se=b?(6qV60D<{7uVUG+hDNtBG9dEXOdO!P_F zlfLfe@O`4^5e=#=HE`X1S6q;PXM^-EM3I|U+rBFCAv9&5K;_pfo3^4VFK_j1367Bxgs!{#JU8!aM8OB2dCjI63@pd6nt5<1C!{viWJxiPl= z8@}RO*|0|^4Q17KcjYD&dSRM~!rXG5KjgBqvIdW0n#1o~IHUyb;F=XvfybdNg(?oI zjS;mr>r>^qLB@g%r6MUQg8JK;!Co<+9mw*BFO|YM8MWzq6ci;dGy@t_7l?C`=I>qs z+;N0hL=}~FA2cmOO3Mpl6JiF&<04u4L`4H8x|o{L1!WxQRi=c2=l$z3TA~bz9DS-5! z*SJ$RXKiJY%frjvg-!<4B?If?cMhV+^xl3Y$pii+=iq&d3Q8QiBJ;dFo}cOy<%1Ol zU|-Mc)SV2G7C2Qar~wbqRn&&?%fX`N#wlB}!<{8;zYR~;no&yfpKUPWQFMB6kl)}69v{bQyE2*1L{_Lws4pF6J~_&E8U0wRV=05E zX!Pm5pRAo`#gp{Vpwl%PC|io3H-2rAw4xhByr8dTuD~zZ|0e6byRB_%Tw>yHYg1Cp z5Oc9tj_#h8Dkh>yh1$73W5grPh2p|(0VDd$mx9WJVvwzgSshhX6_dAJk6k#0`P()N z)qMUoXWUGnQ6)HUIahjOT182528AR3($C!d(v&NDX@xIaP_LreO(hHmwzw``-GRGg zdNvI#YHi*jR>>b~73o=!cqjU4EC350U%>LY#JPrH2(=}JQk5e7FmQ_h9hW<21 zx4M;^TZ87(#%)QAD=)y1TPnThg7i`wTSv6H*M|(02M@D7qk? z!%Y8O>C_`Pk(VkU%Iby^BpP^#-#5`y?LPIcZ+yP%QEwOFS8M-9QvGsZ1FMdt3F0c) zJ9;dG-3O8>sM%s3k{^1{gZSnJlM_IgD$`j=zG%(loOjpKZb`O;K85Dm+MDFCkKhDq zwx)+S`e-ly4eU&tuPKb)J2o_}2>oD{C$i;-t#G_QlRq_9ZBze|29)VUP3Bx9w-(YE%dEl3u}Uhz7Zj(4@0~vNG``Vs~#{&u+k^$dUxKC zjSaV1ZWo8B1kU}=M5v(d7oRN4`p)?uT=wTVnypj`HV45;8$^?+e_0;&s$M_t%P4J6 zb=iG3-gHhtF|5#us(4D>2cxJ9!905eaApt2k4EcfYBH_um{6|{goF-SSq;0(w@mN9 z9z}{WHGas*c7t;rjm$~ldEBcURtMfJ6hF)dW40wqA9R{66b0^m)gpy8wAb6LB@YpM zih*Ul|DY2m)d8V@Q3HqGY7~cSo`fyg;h&^*mml-}o=-Ho*h!n!*g}gWC7Je#84k#} z5wf3IezW&et$(9PuaeO z0FvCkt)$eS7}InuX4VA#km!*d%qDZcb+o|aWk@d_!;Ft`lCiTI%y=%z$PH0^o)@)J zD*3rqwBVU3(iA44XHgXA>ILns;qno&ppwnf_3A((z|)&P8xj7CWAT|ztk`^=-#d#e z>3twuv;9zHM!^1c3bM+nH!0{-SDsF3nQn~?n#XZif}xFVjZaZ(_=N0 z!Q{F5=c(W>e@Io76k^W}t@gUa=tDhyicwHdc=_EAUufGcYnW3>M`zXx(HT_mA4D)S z9ijbstAj`cBbzjwdZxEmZu+bO_@+15%&reqv39k#2=<8nnlCSNatx1qxyzC`hz+O- zauw=~25wec`yQN#Hgi0HuXzB#@*B5p?O+x(yaa_qTW{}Y3i2r8;?h!rBaLKugB10h zbld7b$W1#l{l!Lzh%ybbvX}v!8r8;Ep*{{|+*q!J)baTrQ*oqk6ycir7I4qN6TOdj zgwbOrjH#7QFk3_M5GN9{SEsPg(8?8JeJw;1|H&jfMDi?#TI&MR>XKNV_;?>{DYep0URWaa9RC<&>ml@jF?}ViCp|tR<5W=7*!1ne?EEd#3eHQsBEos_lW`U>SY@RP$r6XXa z`qtJW4{=ii6T)>FL(9tF{oeHDW=sFW1&B?ilv@Y1)@Q%nmIQgv1kL%6fv>%1ZNHXD ztY2Y$GnLGGiPvRrvAMgj?_X7-VkMP6S8oyM?T#tgPpgq(JT<}c2swz0yU=_PJwiw& zZVuu-95ZZgZcY>8e3+Jx==b)u?-OS@X&Z{ij#Oe*uRkLfr~~-3-68)BU*`Q<)3d!7 zOeH}gnVBzdu`Z(D?6{-8;X4BzaGH-<(i?w1S$LTBwu?jQq&+6V?f?*4yO}Hn$AscC z(G4V&EO-*~*?cPvFv;jS8FMhMIWZ1N8CcgeJheLCGi4*zaW>dg8}`63&2+z&zwyK0 zAAlvy*+qnnfutoSu+9ym@Mp~-{m@DEqx*Yo8|i7+Mbg zK&&6L(2+a5zJGef9IQLl^V~B4=E_)78fx=SjvxBoHl!&$tWSPu&uCtHH}4|Pee~nr z`#Qqt0-$}RM<_D3>t+F<9IrbO4fJ+Erjmc}zP&M$`$Rx^Y_P7U7FIZU?1VPVd)Tn+ z1XO01P}@_z8A%rrvFHR1mU4eoWD3RP#W|FK}!`T2IjwyD=_x#nM;m zly|k$bbsLcTwLV}Tw%_<5BK-2FKK+>)o;8~(r7+@ohck=0l;ds*$|!mCP|AI(A{vL z$4y2rEpFbC4e2`Iz4yDEhUCgl!G?>Y8DAkWXR@Nsu&`>7=WG3G*5$*<$5Xa*uj22A z?_?*1ZLo_)j|}3dOCe%ARBSY%5sMIYGE3hl`UA57dO=7y)z!jCn$FWt zz)CTRs>m&4jw1V5W4-TL4gXLgdVghIjZw{XWYi|t3lb^XWd+Z4v1*f8#$S|gEe>Qx zj<(d%fbzD}d$7{$pdqaMUlA5JqgLKyyG+p}>m9;QEb)|N z%{5M4#RPQS9N&DsoZW>pT@-a*v(Ewd`pd9OogxA}6OouPzoTj4LbC?)$T}m0_hnAf zm-`CGx)a_U`wg=gCIcV3`GztAzq}iS&9zx*c2ydAeD?P@(UEan6PLew&1NVjVDdZD zn$O;Nr>9&t)6>8{JKTy-H&0=nae661 zHmxzn9@J(*~JA*h`-tvpgi2>7U+JBkrbW<9S(;_h&N+&^&pS1Hty ztj%zwaA_x)1o7p)xf-$ggB*ZYo1I^t_}hG=Ju#-COZI_&<9Re0gq+EXXh1iZ<$2Ep=j()Yf<)*DF^&Puzmo3>+=&-Z5$?&qU+4gG2~b z;pvFn<{VkAInjYBTZ-xR*;zDDpehj>hJ7(IvS@xe<#q?#=}ggoQS>L;K7N6 zNZ$b1!ZO^c5qvb{B7dl;$`c**j^djqPm8yiz@a zH3sPpSvvTR30^l*PG`qCIiyT?m1-a8u!#Vb7TsxLsgp0w0*-^O=?7s{=Fv&O85^OU z)D{LLaDclx@=DME-Swy!`5xfG_3QW*cYuBA@MUE=dCjKZV}f+x?d>Dijk^$Dpzq$T z!%hBW$nPz;=eA57FN=d}3zE^+q#la&MYlUPpAcK2tR$Ps^!xRq zRi-B)A0MAO$B8D`W~(|i_00qTXFIs1wLRbyL8c=PR<~N?+CgtwTinW=ri{v*Y9`7Z zx_+SRL;SPYk%55Cr000t1;y68?ukC+H@?7nn<<3|m$s>5O zvP0Np{S5g88So~>KWg#IY#)Nk1ijZ=dqcB-NeIXRBvnV~me++;T0or&ddpAG@TF}9 zF6v>vm%g6J(YqTve8Ob{Pumjoc>$&D{BY8?3{9xWrIgNr;5FU}5K*e$!v5G`S7&d$ zI#}|ItPh=KaSgGkt~63HZeLraCR4f2&3dNM`N?NIr5+JLB4RU0SD4TlLB<<)DQkde z-Rgs#k9|rC=8te(9yp#*k;L~oE^%dRg%FU-6E~r`o)`t1&N%yq1v|?yYdZ0n-Cv2n z)HQ|)7phOl;%Zyo2a$kM5en@${Sps}wO?!G`nD@aiq{2wQuHl{Jn%1OG5L2sxF3$F z?j5FlTr-dAXjc*7!dF1}OYIx}SS1v`PTkOkX@DUlb&efbGld3~CnBe+D?m1oz*1Fl zsR&pQt33|KuD);~C=j#J$p|>Ek}luKS-8{U;duOxc#2^5iD>D(BWzjQ`zI|Mf5KS( z4U!*EZBd68Wmo`_omx+*7~@hqZ`o#A#2@9vDtvWuw(2!rFW-m>&v}M5Ug{X+X44dfV$8zUSRM6}LBrDH)e2tNcD)4&yot4Q30m))16iIF}Zl&izPcw0IF#=+1r@x%{t z3{VQfKg}db`z9Tnq(_#TR!xigzt<5O0+0Z~Jp#);NY!48GZA-F7#D2hOIC4yujTjY z>S8;l%nF(Lh4KtbS3iZj=u?husexQ84q*>WM2iave*iVMZ|2GIGcj<4b-e{``{SXpk1J|P%7ELy?-D4nsqO;7Sz9lefU$)#{4j*E4 zn<)Pi*^ttRLZjMfXqYY}h7)w1DfU=M;L%YTIF9U7$)=H&`%tX@ZD>n_x2MfjQDusE z93D?N)*&ar$MkDGmCsqTJ#fQkx#lA2m$H5npHrE~)8DDZB!OeJ#l@i%oXqLVWX`Fl z!lwFVtWtIb~DacXtJDu@e(EVZJo>g zs02*qPURdO+2Th&ZRlO=*9|y7G|l_#SbY%Dr`{@p)R8wh{|xB7?4pZFEid3u)UWsZ znq-*GojC-pKlabY zZ5k|<_CE~jZZip_)_O#`?Xh0i3)jjW`F5CG{5ThmPEe6uRtDKE|24Y%-}&A@ zKUTkJMOeHi=BNT*u1PW`AKD2Nd_u!VD=sgM#ZG5r*LcX?z*HggD6$+cV5?{n`Rog9 zgT_5-56Ndgro|iaqIAxb&2&1sgsknUKkP)3*Y)0ZD4p=&(k=RF~i`DUv#h7y~eA?VSSL5FC5!_8gzw zNnrp=SayMISuOky97i>&q0i(c`%OE%qM#ZzM)g)d6?}he?7Uj5R|1^9!`<`isTAHj zopr^EwG*^I`CduJ(aB}aZK4Q9l@?=47j?YK2A*KCJ?jnRGNywbzpgtj#??VqOAH;^ zUm!7mPZ`~Q$YAJ+$iqv&I|%q}xs)z2%Ud}=q0!!rCH4WuCXYIK&))btQEB!-*69|X zuf!TnP-{D4qwnO*UZ2DztlGf(ZG}xKs9qSp;0yJL2jiy@o!ul3$sF<5v^(_Fxp^sl zf#2X&%V*Igt?D?fcc!;JY3V=30uGy%N}40nr>bw_F}RECw~{6qW@_t-yf{`A4Zipf zZFU((Bs!EHE!6KNb`k1|X0Xz51yzC*;(AMsp(;szp0#am_m}8J-b*}0q8mV?Wxrct1)4%moeyX#cD*g})rk@k zD0O8*I8chgnUmMSB7)BGXU4|wR!oqJ7N=h=ie}U;Ao6KbAfa|y#)BBonDC|vnLi&H zU4U)IrHe-WqnXAp#pAOw?c=dYp2i6V{BjYT^yEIgxA7RZd{;)|6~#iG@i;~ANvFgU zS@GEPXKR$1rDKTegiy*z4J8A-bShSgMw`dIp0@P|7~a?0OsZA;s2&A?0KlHS^^dNO z4+qH4rfq3$mQ$U`s!9~o`=J%3E4{C-+I2_`OP^Wb!v?iwRtUqM;L<&A&kc=}irm)1 z*H=e%W1lpOw43XarZn$TU+##}*xsrlG+=6UGPmrS{jTJO_JVumj42?3aO+4VJ>?GV zDr+20Se>c(&dYXT4S9Ka%C8%~1#*Q_!6wz!ZMUA-&wb=wA9AJhaVFGp$Idu zIxch<8ul99FL{p)`&(uQ@ScdfALWEJcx&Wi`WTUXgJg1c!LGu3vc(o-n{l)D-hKSF3O$}m- z2s4E5pH2}!isQUYSV_;#-S~&2gTS?ksHv#~Jn>hp{)31k2LAsB1fK?YzFyTu)I_iU znewaJy1GD5e8e0BC{dWzxQa;pg}Xggu-RKaI3rvYKIMm0{G;yu|257Y@(=Ku@cPR4 zVwFt?0=H+sjRj)2qAmT|x->wIR-KfJ%D4z=EWtHkZ?5|~H!=$8n_d499_3rt^srA1 z)M>ze&LSHx#`>Y_AaunIDP%RLRk#ka1UXq6R%>;S@n7${);-i2iPrUhxQozVwhNgO zkAOUmPu-Dm+Pslb+F{jS$=}5GW0?GjkkUs1MCZPG$xelTW_y{&TVhlEgY}m$G4E{* zEOFlPks^)-ffTPGy~I;vbT>SWQzL*=C0gj9(2dor>M`tzJ8hwmNk>aQlU#<7xk(a_ zp4G4$k-9&&0+mAUgb{Qv4xi-u&0NgHGA4S}ytVOB5=hI_uodJXBEr z;Adigp3lv89Sf<%=W#>8DvQmsKvsSX&Mv&Sh@yND0&8c)WxigLZTdg#eRWin-}kN` z3q?W&0ZFAB=>`Gml9n9lZWv++1p#R(hwhM;8akxAySuw#V7SL`{CC$~zrXHUcdh#$ zjuY>@&)(1T?ERjzccQV=?2^1v;Rc4IXtc7_Im($)?VLPJI{&TbF_6=5qOEFR5%|T~ zY$+O_Bb)D6(uWhTTxP^Oc~OmaT##iNGcQe?k`6b#k5zr)dxCNv_E4$Z2&1n{nSH*Ot^`(bZNA-kB$aY1Upy ztbbGvP8Ly#H-TsoIjv&0QDnY+{ikr7*R50|<^cbALvV_u>dJ&#WN`J#n8#f%1XX6KE%-IBrQ6uPc5keW z)-HY-oF35_R}oT1amiiJS+n~bWXrscqxJp8X@pwElej{Q$M>|lIu8sH5(^;ds zn%QoqMMp@I`X^ha!bw*!a`eWgl9F$!yS*aqfDVhItEcy6)m7iNhGeLbVPr6s!h+e! zj3u|fkgKzcL=9wPi=Y^}>XaReXo^ zcn{a!klijKWE`Fz@AAwu&wSBOO-aaSu@BE;;ZTdhRL8rbp ziC``IHZo27b`zUH)!Q2x0&yiB=E_R%6w@K42Y46^89Q*wZ90{nmD{c}G@I5nR@@A$ zDUeC>MA@9B5FHN*y)x&EKJxXZs$c4UZB7n4H2G@ z1yNO}kE9X2F=BJL|5-AT@8g}a+>P0%o3Ea4*ERS){*##$Cv>D!R-tXGYD_`4RqLA} zIWRt3|10+z?kmN&v>DG{Her3i{&T@46Lh}FJe#W+Q=;=`6(3qC%MHoc;Q0JAAm~dU zPSi_2`{U$^1W%^wDO2@mKF`GdDE|hx7t=<6Mu&A9gA9%hSc)NJBR0#wl;Idr4(fhE9JjiTEAR<{rYUwVRD&$Qhn_cg>{s>F&Ue>%l6tSp@5(7kS4!w2&%3$mCC2J2?y@f}r%WAs z1(CI@l61Q+{<7c894Y-|rLi{nv6u1kyy%(rF}V|>H^^wAEFbisSZ950Y8WIg9EYx< z_VvB19Zg1h+BJNZi@k_zNIy@MM#Wxg_VM5P`j~q%R#&)Q*W{=ul+rnFN{=+_cTz^L zM>fKSLL(4Uth>N@)u^(6Lc$A%BiDb4x$>>%}NsI{$( zc~S_6@o?-P-D%88YHQ(|dhy)m92^Cb-d&FDH~}!$QnYP9oJ+mB7w(WgeTa=j3)o-n z5;lqKC+@MDn~FrX6oZ+mUm$2&AObQ*C=?$D%!a{_U5O*Z8dLOVeBVfkrO*lG`$~i= zRaov$HON1Bc2+#9{5mMoju?ilc-L3_3_TA)GO}*g_DycDiPKBLDc&b6UhQmIgT`jfo8 zF)_8qPfcWk6>q`1`LyG!;q^iBcxqv|q9t0(fxstfmhjPOGcW*WHEUkUitpp+)t8y4t)b{m|mY%qFS4Hv5r{}hbqPO0>)&&W-0)EuxLG_E&Jz&1u(?}DU##5HE zntmzc(t$hrh&L01hN~~J>2Jp>ep8%y7+Qp35UiihWw-ZLbGZzfWW@F0^KO+u6uQ>B z>JK{cpX9s5R^L{h$PDPFtv3Q`&p73jRx!d&A)M=ptp0O7* zex~c|O;7P${&Ml%_|7x4!}-zL@ooy4RAj35p42dk^fM!#<47s)#Wls6&|+82gXBTH ztb^Ih^WB(v$2;4$O_Q&^5K%aoxY8X*cTjhzuEAJOR1yR!2GZ{#2^}*ACmqw8*L0N>M zCr{Ty&<25Z($dmdW{TN&0%e8_an1&iKMDI{Yh9;p$GJ5uOJyw}ze69Uz4-$Ta(UUJ z&kM0(u-p+bCNb%sw;Nx3KtBlUTE|6%BH8Go#tf(l}s_M~b47I~%J1*)LfiZIYMdj<)#O3sLsxf>>DJG82yznAfmq z^X>g3lwM{4esRHS_vxc-X2U%cTSVbF>*IQq7Fus+o}tdHE5fZK`RB3$bk^&cYSSpP zjYwEly)>USuY3$ymxF1Eypm(G6U|lx$Jf{F&tgz!EmsRDIQ+2b-b~VCz3_RX?yr#y zb4HF`VTB!p)7uE5vujITy?ia>=o(!MDWUBD?giNL<-51G*T+KFP*WRCC%jJ=@w-;m zWo}>jrHzA-$VWZB^olRl=iV@i z^^gkPiw*ydDqhs zA*{iXTz-$t02=43$Rtg!kcRAd9^v=C#7!)4n=ke4M`^ z#?o&i1j(SNWpEy=n`-1N?0MR7kTgNl=jpt7Om)Y%yF|VCu~Z0~$+PPChjqT6Wy&3G z^;a5P*>BNPOj(OU zP^dE5OwyOkT_r#2 zE4qxD2U+fY=@(&udL@wEeKH8hzy%Ok`_JDg3^yYM8O63hATCb7i-ZW6QO`_Cq^|MQzJ|442U z#K??IX@04FK~D+_By*3yqC0)jVLtfx=By^&|IR)9KY!8x=-2-5yr~kD0VaRmd_(V(%O9CpC4#;`7aLyD1ujwsznbnBY_K2m7J^a8TaOxnC~OyuV&1oeuFj5l6nJi~0)@^o5Bp^}%iOGlk`ZQC~9p3f8~%SS_#&d0eC6Ocx}`HmNy;Y561C_~@d z1g?GJ*cu#fD_+eJ^~-N=0$~P)QgfvnA=%EAEe@zA{}yqH^9Ra!&IeKKE307(2bgZ& zMY4^-_hX1utuAF_#*bjhPTAy6qzZ$Byow=Dmu9_qZF8_V7;u|NupL!XA26DZgfS#s z^fH=G)R)GZ{<1uO)%}Utl$a%HI;$sCG2KY)X#Ng7Jy9yOO%=SBOW`*CEj+;`eb?Lo z@t)I8MZD7~u6pfAMz}d5!I?F1aBUEE5X4Q5e61p+mrTYfmRQeSsa(h@3zJXecai)4 zy)JN+;I{37<-|U(rj{-BBas!nMvkoDJzeATnmgojv}g|Zv9DxrvTz|hgmSYxn#_CB zt)~4$g4~S_#fAWHR=_u-JZK}*{I)eWJE@VlMv6+vUO29N%_%0!q0Kxkbs(cyaB`>S zwn>!?c_b|Drp8CnQF#~AL8fq6Ccjm!PaT@owc|CHtULccO0=;mFnm_H>e<2aG+c;N zsKG&j1?!JlSb@%Q(mv`AdBI~F`8yGUJcj>tBkK*SivM2C=++lL<7gpQ9<$^&cQRRu zmj1zd-`l5%zkX%HIp7&5UcAFovg@V->3ZEWNeyOx!rO(ljJ43M##42N0em4Z@*u@` z(-dTaDR>tP8_g$PmL*T^Pm&`mu3NKH5Ju6j3!*8VS_^n_nzOP`h!(C_k0&SKSVxpk zTjDrvy$X|2*D4QmFdxk{YNqHY+g8MzxuwJ@_DdhGO)}Hs?cP}5eiiWhn%%m@o}40L zbLH-$^m=1OW8{&|Q$+#cYNFZ<`3)B@)LaC5)@G8%`SFdUFw*Jfs*gcsS;$NOSGoH| zZNA0JfKf6*rv?ebNbxy-m-NF;TYd-nvB%9UOC^5T9W^TFWio8>H^N?@TuvkVMYU&Ng+O>O6aO9@&lc8Y-yvHP4EFjvG@zhT;Vd$vEr>PE#JW7+Kr_v z>~{BZ&8ED$121KMqbk<3#n*mX9j@m|Lbm-szGOc&m6N|7faqwHP)u7;Lq}}YU+s=c zuukQ@Rxsi!{=@>~D6yLJKXrfy7S{{TH5x5!r(EcMOemzzr!-i;am%Phx1yNU)9p!k zsaAvRY~!m}d&y-mzA{3t+XW4BE3CkBM`cV|A)3um&r5_ zKSOxUD;ceSo>sTUr!>?Q4MPhXVpPy``xlNzYFfnk7~W#Ycq|@md9LD$ygM^>K^>|L zYm#W}67r;`d=o>&Gn?g@*V+@Ji3qyTTIq+^kyRRvJr=$}$z})?;WleURU8G#cl2PY z$FJ9%#Z|jPn{ta$E}pf9d2HNwrJT2={oQtg?%{5$5kqM&OIiDFQQ?>PHxWwdTeIBy3kDJ3%;~}c_#*559qM}A3+RWSfCrkxLS0nr&rd#IiPF{P@ z!u4PmX#u3kWo%=E4!Vxx8j2026{GG>=nY5FX47EpH z-H-_iBH)b_cJ$6Im}I!=A-6LiVeh$_~q3 z3^5|+gPQ>r7TY>A8}=x~aJ|KhVL9_g?Z!`!pE~B{uM{FsW5aEbq`~3!x`PxqbFm2P zi`;OJ^3xcN6xhW8VZ44p){Hvi^?GK>l>dlu++BZiUOREzSP-G$+&Rj$;1z6M^Rm6Y zOpBrA)6TQXhTGGf85Zr$`1*t1J05XU*`=FlxSnQ-N7uy_;vr^-u=jRf5_(dSJcl9O zbluI?1@sm7JB-3U0Gz?bDUCYA&0;;<3xlr(KPB+8O&7Bk9}}CZRuFxPi=^NsN-Bp;{N#|UU6tpmGYF09lRkV6M(_0~rs>(BWkHD!(U0tYP=8ZJvQzOJ5aHu-Vo_60M=p@j))Om`>vDC7&4x*|2zprD#YC0o|Kt*yQ)t7@jq-H zhV;j2uhsRPc$6JiD%EPK_j4%>S>q%292;&Q43(bgGK|V6>Dycix|%wxE8{(vW{GJA}J0U2mzDoTh;b<}A;=TIXs3>wr;`O`oHmmx$nH|;1!>9E+ zJP$>Jd<@Ac$6_itG6daLqX%NmJ+1JsT^q#wB~*<~7Dm6}(SIJiL+2wRayyQPPRaq}F zxF$C^h)WEYJaabj*;(GxuN@g}N6~Bs8Fo<#(#WC1l^=>oi_$3Ut2pwky<`dxId1p? zF(WU4vn!%s4@gCCkO{?4;O@M0)k7oWnQJ<;7F9c5*xLi{U)@% zyQ^%8BzkogvaKGkk!l#bjT0CD3)TVUPl=m&|B2zae=tHxm*@cJNrpuDmdOmk*2`BT zbIQ4cY}TZ~?Ma6D*wKX#=aA>osv3GO7o+p@YJxtb2 z6QuPw6%~01ZS@2yYc+E|FPXGguO(T;VC(@!GPtw15 z`-G5{Z5ldqTJvg;dym1TrCJH+;9!GcS*KEPcy2)3(*fcjQW3EvRVP?n%Rb)e@Rn0; z!Ml5t8PNE;cdt8M?;|`C6RjI6sFU#D0Dak`;cj(@4%vm!~#&*#TSdoxQ&evA?-jYTe zpZ!!KLp34T%X`C5a2HLTLSuWvj$H|RYkS>+lQk&a%>S)TB4I|Z%87tLQSID9Y;14e zI0$O6Gu=P?sn5_WlDQK8+q$52yC;Sf&4iwuRLMCPV}|Ve&gv>yj%rB^Qt&xBYkf6&esP&KD55CgsBl|zU^Mq$&qi8GM{y=K zFu&^UMd7FT^Nk|Nf{y7EnMC)ya@c)8>s@c3@p1Dk(&KEL2a@|+>1t*K^i?jlLlJcb zQL^e>EG9~-#FFRw>*7&w4luYalF8cE5c40(1eJ4?%}>-D69=e!VlijmWdy!;rR*^6 zY!&jZ^QK%pa$C~iQ~$ZG;=RxFLwml-PD)wZAo}#pQ*F1bo72zLznUf91PF58tjhdpK2bCQ*DgECuh}{37qRK}e2EGpfX%VSp==poqKa zn}0keNE5&X9gxb^HYAIk;|ee`vz+N@MmXwdO$3~~kTWVJ%4dstw2GyytWR;K&O5nUOB{whBqH%^p>bFH}x)b_+ zNz9&*L+1-)v!c{nncS$2n`0t-qZhI7a6>YX`Q6b~!du?8}nq%~Z zld|I`)W!YCx8e@G5H;rM#* zAF3VuN*bOWL`0pg?d79f+!upoO~T&F-HYDuhBaOv#S%;)+c4yujEHt z8^;`waN0mes{-;AZ7xqo#?mh!1mia<$f<^!J|YcliHz~VZ+kv8BC%>Rg_DvdE*UMw zXCqProwO64ZZu`x+vz#}$2uN{w}`~f{xRC-m*kfk`Pgn{kBpqS%N(^zHOjfdouky% z)?O5I#p{>djFDb$uRPGjYdlqE(O}l^yVKu_&kjGe*c*!%VX%xQ#@Bu~4Q1V%2q!A1 zmi+_zDOW?gkF!qhf1}KpzDU7Wm|>AUv9R43`C+2nSfPTxw!BThC%jVc#yW9k8mdfJ zS@JTF2w4zPq$gQ5r!!(wX?nLAmHx#`W&JF{idON?c&$4{SJ;C-%v*PU)j?BNo=NQT zw>Vo~G-i?D)Mf1W=on-Vb0jaGFEGEC>utM@HBH;&xZgXiaJ_`ZIRWRI57gsy9O^!1 zIYgmO7M>H1Erl5R%2X=2(LdKy~ z3f}q?=TXP4-`;?o*`n$0zt~(%qDpS>)A}4A5Q!yCC##dZu->^SZ+vPaC3>I5*-|;8 z$Uf)OnHu`c2|j@*>e@EUIf?TErFjxCR&cxj`IY?O8DSw0tw1MNYlm`z+l|i3Cyef5 zZy(!zvc{C6vRlic+)>1@PxLqpvfWx5*vYEx#mscI#~#aJB`IpzdP-Uou7b%2FJ{M* z3_0STijqeS2Mu?(hyA#Um~ot#)cc z#UHcUoyocIYSE`VrDxbL!_{Z{46fT zA#2=oyoPm~qO)6^g}i%r9J5Ma!`@J_V)v7{?XP$un!d5dWLaxQLFYEo2VonEwGM6j z-MSkErxxGrcj{}^zVffXqTPWQ!Nk`WTx)4Zs;Wv zmkNA>jG^84@v!@|h1*2{1w(9#GZJE|Xqe>`t0Mer7IoN`Ku- zsk<)IvZeIA7QXJyEJElS3r9_;<46eAouZtDy>FVSDMXIyV2V0?IgpiD^zM8YO4FA4 zFM+#ab*)Mzx{bHl2D>;76S`kM_pV7cUa?kplRrO}O1l$uyn8jJu<`Bmb@kzvKg1hm z7}zfJW7#H9kui>7)b;(|KrO<36vIbsheJI(i{4 zPj+=0%x2|v;iqivt41ia9p{Z%K3BTy$~t2$?-Sd_9`1dyW$EU?oz|4EsN+4*Or!>@ zO;PS+*kf3+-HT>BkIP}S-C23};29YdzpC}lQfbVku@12+nJk6pIuIMN z#LvV%Qw|y1|M`lHK$2+_131GXMo$<}gruP|E7Dkf}1TaxIxxw+}-^D-k(!bLV1UuHHmZQ81!l0?mjNo zn2#Sn{jfLl8*#Tb?acq`JZ$Gzll79B0~^xdFja&tuHcGC;$KhZx=8p!R^~6#Ce*Qd zq{03ckkZ59Kp4-Mhl4=_}flv^VjT}SmWX7-}V*Y-~Y1*a{t3eWQ$xas(W6JDEtnl zq$IEv0JQ7i2S<9a^#AiH$KTxcb&Fp)&f2MPEZA#$?_L#Xy6_e2t+CRD5HGue0-{V# zY(8aY_{G2amNr3}ZW$O_bbq~dIq8nB3WpHT7tY`A(^QE06RBV)EB$f~FORv)ZGs|=*^p{%%+sZp zph!MIg04MDanQk}S)rSwu)fUI&snjHGikF8T|7OxK2c4Ih{Wv=pi!xMkhB)^M3 zFqX%AezVBO#ElhBReWU+QwR-2un82yNVU)3M_1K9`Bw`M8zQjXa9pzoi&BjRwzOBx zoQayPsT9_Mla@Kzje0tEB4vL?RhU3 zvFoOdfbMuM+s^45Su*8NjTzZ5u8ZcDcP?=M($5Jc`Vj z!=e39@OOK-~>gOVyX?>aK@^9rYDXb}Ao6I;X3kWtCNL#g?z~mHR_5Dn`z-Hy^EQU3%LSyG?I-3Qe)@eM%U;`7^4VwSvuEDugLd z|36|R#*#<`%0~g2Gr)AT*36nmypma-=!2Npyo>y{bkhLgA}wyF==f_s8^dDKszp7wIX=fXM{cCm-Qyors`e$3 zS1^HKka9>-M{%aSXlme!ldIar`1{}Y6#m=ZhKJ-o&7BvW{@dPW4wjDyQu3xzrF?5gg)?uUE9Kf9$Ea676TKLgxy5$(swoKv9VQ-8wxHi7eg76m3rJXG#j(kjzdF3OG`^6 z-3ZaN$qGvicXvLK=fqf&%%D$tZVEiJ92q-2j#-E?@B;aQ*p z)iS!FAcc0FIR~MNipoTxw&e4N(vb!wJd~71pv~-Dt;-$KvGsYpPV;Li*h}2vE277~ zOM8_IMTLddsC8d#Ap$Zo7F@jvyC*)K{r&yj09&oKWMse=V$ks0(cZp#i3{`Ekon2Vid%ZVqYio--${g64d-j)T z8jtJYXDKPEJJcN|#BI|X%Ss)Uo0&<;%X<|rjEd!R zw$S!0jiOQ1t8=wq?Ti33lewz{mzS4kXJ-#3!n&c=3P;lY*wx*RA83|-sM>~qcg_$p zzkMODG*{ycTaPm}i&xK81r5scHHwqDZRdqwyGJR+C$LG=8w{Jna z!&~^khGR9f;j#w0M{j+~ZESaYeWtIk9}yA3J(WsMLD6SYCUzVZ5s{{zpOKLA$ZKLXXw`j)Xqg#lG(E&;QuF-~_k549ukaXdVp9Xk;PM zDjYZCV8d{X>Oo#z@mh>XWGEF+XcwxVL%zO$6CLFRJUqEC~;Bm=vXf z_D6o&pkwpVoAYP)Zae|}&Vq>q1}(m$qpE(QLyg{dO-)VR-Q8jVSk4FYx^JGx_N{}_ z$f)xf+sD3X-ghW5e+=`Q(Y%SBO525gtXn>peH~@xVQ`c#OL^;XsRa#-xbyJ?;Ca9| zM$I_Dk`S>PdJpktZU13-rfN5rmDmwNbIM zvI+?$_pH(527&8N0_La1#UkXO<>BE0v+z#0M(|nmI0!?5-vE4|qobpgZU?YI!l%j% zpBNj<%FfQt%(SbXW!9~k{k;H%y?F8v;EnL@X;hoR+b7GrQ=rI)f~l#+G&bI~2I5dq zP&o6=b&z=zlaV#rE(rPlc}_^kXF1NOp`pQ5CoM0ZWzNUP=iVOj8p=|+FdibY0$TSg zB=V$<9@HK*fVi%!tHYsD;2>*nc_-)Yew`*3FlylpoG?c&Zh2)z?D+>7nQrhR z;Ms)+&lnlw;MRd;!GwqieGbClpr8;5Ll2Le?=L9M4;COFKmJHbfj}StRJ_l3r$FqE zkB&O+O*;d0gR+nl^Vq%58JTk&5CoV9%yD_N0{(dO<~?~tYexs#!-v4o!~(7#(>`7z zkszd*DJe6ns(2_U#4?7W;c!ci_{qsh;Iitfs+2S|8eA4TqW4 zgoxK6Ga+H7!4nCFNGPTVSyyOLkdp%l3nLY@;2@mBYb|oUKHVxWF9)xE|Nb5Lfy>@> zOqK7a!twOPd z=;UvGQc_aFP-;QJ+s+6IO6kXFXbWz8PZm?a-nm5uL#_lOLc%9LAL(Owd3kZgfk4?h zbFX~{sdF9b=rA2G(8R>V1o0#|?NTUVi?_$Vh#C{ojT0@$qSH7KOe+t@Xgc zTBW!y2ZBom7e11s*wNZb%NVP&*S4`U>)GVl>qC+ugN2% z81aBtsi~cjF`lwqG3- z6a?HIkVkB6Yd zyEy@{o~4{SW!2x=`3YeaH)Vx7>L3GGC7|E@jY2Za$kdcYt6b{MbE~P+wVV{Mcy3!# zdw%U|2jh{QWI*_puelh{72L> z*`2Ah1*q=eaJ=}(x22^8a5$K4$qwdYK#xqtETAY?Fj)eu)<6UzRL~J(P zkKc850!&Oy00-Z`O=}AR1kTTo1V(jS?|l*Y0T^)xVV%J1XaYz|LZbZvw!j;B4_F|b zj~^GCM4axqU;{1f5U^x9aKX*<;?_*#TCAK)-8%`6A}#xuR)iB^YzR($c=_ z$BKkXMfMI1T%4Q$963HZ0;U1WxBD#$tia~x=9e$`eBOW=6aWjso@29kEG#TAFa*K> zK1H7(vb^sdn8`6{#^HH=`V<|V{7E_j!NtN-41(CaD<}v(NrBsH@*N8cOSMjsD*Zr; zFblk=LTm5KKM(HTzb_yt=;`56pl&(BQ?k8n0mugErNz%PO{c))0S2k$D1ex0Yikpi zn5NF|=;*Ml&|1c7-dFV3XT<9P5##IQ1E6tgMiY$0?&jLt6)#~gevCy-ix(U!ks(K&UsQzP zCkKYl2T=vcK{?l{`P)-6uS2QH?d4`P*xDa1&PUo-gOa&k00J>!k_RQF)6RG(WmjjX6tq=I zMC2;~>ten7*}1s@Od{yka27BeKyPL^5tw>HKp+)qBq8D7Wn^HR%Q@i@hAyt;A#^t& zeCOos910ff@bG(hI16w{1_n#Q^IYXzdIknDQBfdwq$3mAjDx_Y?u0(_h+i-Ye|>;v zy`eS>@3Y#7UopdFl}1N%Ri>onWwIhWR!Z={XaS4_Q31$v*W-6pRn=cO0Pg@-0rWG- z>K=+vQd0vexmhv3UxfoUbXSeY#jzQKDK^&5o?1U-vgBpEjo549(tq69>SK}l@-F9dZ# zzG@!8I8r{R@1fU|C1K9a&H$x$IV>ZjD5JWx6#FhtPjQ3WcC~gVd)8Bcd;xQEvL#PS z@bAYV$#1Q~{r!FA+;Z~~`4p}R_b?ex zPtU(IZ`9RCjzN-PY2otN_iH+B;D=_fZarUGCZ<=xZC2$iTz6RVZ)=&>e{pbd;Nszt z0-`UT2yQbV4e$6_|EO$AM_nDd+#2`*4eR%TD-6cX!4WG*U9HpKK=J&E&7Qs8y)S?< zZT={z>%&Ophon3`>;Hffz9k1C0y$GyDz5f*;W|K`yVAe<4?d@$K#k++Rt3f_g54*7GPDn`59>Fnj6VQ{B>#ee1 z0Zu~TKV-%MGKQL(8sKsb^XHQ)P@6A*KAX8C7{fcBVPTO9x^o~m_3QOOOcYP-jD=1b z%TeRhUX!$#ajdVeLqRMJZ1fnF0$yJKM{Xo4RhtYK0BHcJ`*%;BiYY5*VA$3Ui92~N z>*>{{r4pwtWqf=%pw?HoxRbha^f6ek*)nYx8t#8>vZw$Sc6WDA=5v-QR8QzLN&9HV zmEg>$yQ7V_r|RtUhVo_CYF89s2bKsa09-%;1_#T6z7^Wfv>EZvO{k?K&(6+vccCSp z1Z-xj0EtUdM`;$0$Hx-}eo)rcokL~MkmI6*Fy{if7bqRaXIolYf+B!Q9O3SAM>s z;dHiskx5ycVD0_)l1pf0|LmiC2sHw7&CJX!DguW;qvT04fT956L8rmv3WN~QL2Pj$ zNvyLv0NeVL`2R8p1Tuj2z;b6hx3N)Jeq>i53gqJjy0zzkm!a@-t-{B?B8BQ38yhrK zRN$@vgMlR>4R_g{ECI#`2`va_Ryw-CJq%4oyr{0#y*>FzBaqkt&e7AG2NR_f6M2@_ z)~N7;!^wp8l$0V;QoIirMW8`tV8~&d98hu0%*;TL1IW+H$^tBhTnQImb*RqCF$KIG z$8HMJkT5dgdH1Fn>wvi|_xgr{0;_}h`l+cYpdr?eTtT~H@Y#+qlKkRgVdw2p@DVNH zfiG=q4gk0-t!J`7(niayfldCPvVhRuLGqRP`#;7C5K~fBQ+tKn)T=$K2EY$;m5qTE zAU0;I9XG(JEme9o@FQRp)-!Z;Rr;|MZ`4%UWRnrw5C_SN7ZC{wFd$2T_j)4Ft*6U# z0aX^Nfs1Zz^accNZ-3C<09JuX5g@*Id7@Wa52yZ7pV2DP0o?*bXon>TL&t)-^EPy1+OWTXm! zK;rE^8<-2K`tiL<^H%y83viE?6GfQMo>^X#eA%C?1#DHQS0A6fbtzGpqA&u)4WMOk zlR!pkP)AWwQ~y=CAY{+f1q1{hW0QISA5|2(`j-9+D6CS)w_1$jgM)V9#Uy^0Qi=$G z=8rK6TT$O-K(e>g5+ID+Wj}wa+Y*4iadHKQkAc9^26~gjd>G{8k&%%o<733ii^DJ#8dhpaB6?XmocL|(`5{QW?RRoct}W+Q(7{0Fc}G$5SB z*=soKOB@^~JfK#!qh*XgejEho4U#$laZY@?AR`8zWME+6jKo`de)yWi%S2G1y^!$|m{fWsC%PD0^ucx`R14)caXHQ;8v;587B z30&64=jWu{Haei_FydK;2M|FaiLU}A0WT;dCUsK*)=Fr^dLO{9?AlC};a{4cjUtDaB&RCw3@_u7BU!{@T`3oXV3 z>sSd|=+L$G^-`7FR52|0M1h?TnTJQI=>%S*9JY7;H>)HG!*kFf~>2gfg@nm`idsArYH5h*(fO6m2rwUU8L6M}3IhHu~g85^r8J9%{P z5c^-1=EY2qpF1u#eNFMY4(wTL@94PL99pr7CA)vGsrd?PQT?H8+fBY==N_)ZpCqpC zHN=~xKv>ljwU-l~;-45vdVYK*(>qFDw+=6O*V^&x(C;&36D{)3$K(0}c3?Sz%~*?J zU~Z=iC&ukVQ2EaB3+vVul6(|S^RID$_x^XM;#_tgeyAeJRi)2W?Ot<82vW9_FfL8(b3ffa(cW_8=w=YX9031#lve~b0}2b0ZXT%4Eo{{uo`^u@Tda? zySn@TIx5BlW(xKLfxZmD6%^F;Knd{VeHH>SJ~IOYwKPBqw?|gzZNOch_0%HBgi~)6i@!%Q`O$*O?;k5`C~OUb2Zo3*XxQY zhGV0nu7FTsFc>FDl`?2$a#iv0@WP0BhZh#SfpApLJq27u9Yx2^{@3<^?Y2N>tD`du zTc8Jx*N~7Suw~3zmHD~{lpnM6c2B8uy??OPyECavf)9m2j=L)U6 zqkkI};>S-v*mdfD3qC^XzWEkxo4$sEiZD=!HtvETyuyX9r3%$SwBz}%+-jKYVB&kI*V)N~YML%zg3jkGd;Xz=*ovftdyPT+bRGB`2bb=N)GN4Ujz~6+6UU zFYR2*oLwy*itt#MIbTYD$u>vB8!y@Trz80xD(oSN7wO^Ine%50yAIGl{eLm{=J8mz zd)K&Il1h>gk|YTUi6Sx-g%Coe>j ze)hBXe(q;K@B9AV&(9zCV7RXHI?v(ao=O`k&$0%~6Q+S|GMNPeq$~P}h zq}Z_Y=W8Lsn4!Kt^Mf1x{r!OmUg-ER`0(>*eLMnpv(Lu(*f<4KSHM}(*QS6})uYJG z5SX0WWWyQ|QEL{)pQV|0prG-LSlAlE#AQT5jm|Lo`lT$%v=AMLxD~dM5uE5M_ zs3-$JGN)+rF|JeKia4r?gE4zA6^9*KOApzkm13mhN4_WJ<()PKsBgu&#mdgu0|B!S zuDHi0M-S-fQ2aZMfj{v0bTYR&F_b!>DmuN8@byc z_pAbWD8|^+b+o-0Ju0I@-vCkmqEAoPDmmXG$Pqr!*H?f72T>e1BVCJ)f#DK>cTfol zGG1pgn}AvaL`CLCZww$3a4`TNbhl^}4oplpySs;+GPL-2(R}e)!|@6AKcJO?@89R1uiEJ1;&PK)0#$Lm+RRjo z@qXIHW9uwJRcq1tW)zba%DX)YPo3cs;c+E= z&0rIawed*jORhRkx^7ZnccY;TW?fcmR?glinv5{i^9fpb%A23G$8B9-_?yI~dn$j( zUIjCazowx0^YQE2pWX6EH(LCCmx{TS4tOmi_@eYXmDz;w3(S%^q?$_3s^Ie@gF^IR zCB?<63DSqr#n<%#Q$*1K{G6U@A0FYaUoH`fA6-`yyt}u-HA((%0e*gd#O*Tl3;Srv z3yUZWQAiTh(ZrYP7(pXtH8ndcD^8lTNUjz}K(n zj(KmtdGX=}VA{F)d7|^-zkN^g$~!X=AhdMs;*W7{huwZ&4+)XBj9|us4wMpkhFeLQn;}-kLX<7;1%qEDCv%9Ap&@TD zEU zkm?r$lP6A`I4mVqWSEUdV`LPsmWHZjr&1n(5wGPXh9G$Y5eWti<0GrCqr($Z*IK)m zN)8AG*p3;FkXBm|uuV1vbbJxYDfn&l>!TYI4esk?qJf@#VCUtplbOP+EWnHqAFp}^`7Pj3x$hiN{)>(e{5=6 zOGSA+o=TK$LrmQTHqH5#rk0lcEw|YtIj=H2%*jEn01jm)f*K-{`@E`?t&U`Hs&(kG zQ)kYo(O+w{`ZzQdc4*_BdJ7b852GmL=$S)Ova_)sCAj5QFoM0fjJ!0Q?CjyOEt0W) z*PmwsZv^-4UJLv9`QNm(%peV8M=~E+w|1=r5&`HQY?_=Vo2nNtez|)Be*&`9l5NBq zAmQ{~iyWT)>HDF-BwYPRI)X8UV$)ekE>ic9Vzpv?Ica=kpASrKW75a+qzmkQD2Ur` z&T@<=N+RPia+&RcQe@PO@Uy}!Xo8Pw?q>@{XNP1k>V;KXg4t?)cOKSACSCN$hOwju?Ow%iLJU*kW&0E;oK|w)^XhwMeUtuZn}t(MJ-QSrVU2z zV%mG@Daqfq(lGnL`WBE8moIC@ermO~3CrOi|J0*5j=DUVDL1}{I-kmS-PfDD6WlK? z3?R0H(P?J;NP4B>mdiPF^EAFWJ}@Za=LAnD+~Ov`m34bG&lp6l2qe4|%{G zW9q~%A6^NWv^yR?rv(r63zP6OuXl!{r(!?k_^o*0UR&{A z-=3>d$9PuK&W~4Z+_G0+)V}kXEazjJrVM}~$|)*jcCSj%51`S6S!i$Ix-D6F7=mbN zX|wbTGLnio?q4@ zXxScU>#vVH%+au3=oxWSkkRD1dK?ecOrj2nG?(BAk4qiARGjtm#iTp`?GH{K0d6bZ zc5GFO@y*T3Cr%g`7=RmwT!>fc!^;yD2khE^#gDmLqOkUny$`Gv-KL|XR?AdS&I8^z z!nBv)zVugI(Jdb2yQ|^D$`hPe)k9BZ+L)*S^#3Hxh=BF=Hzat~OLnjFp{UCXlJ^~O zRnT~KPDv#8tE;q-5C&@XqE*Ss)`wzM*7=&`w`R3G%wP*Wmcwc!s=7X~Dv_6AP(zf> zsn{?|(4_9ww{N^P7dJO>njd9U2rzZIw_8&+lDkS+UW2O|5n%92Gj7!fQP6;jB9x&o;g z{1LtZrq`kNW7pG`2f zmC~lID(bL1zftnGvQnhH4ZFJb?QTw!)l6Z%>(;MVTFnIZu97popEW=(neHtI4Zm;| zv!J01p!YWWiZbN;w6xW@4%5j-8|e_lkDTr82HGHiQ5tmbsM^_;-etML0 zt1Uj|nb&Eie}o$3MUR7$QthkItw7RwgFz2vJbJW&+7B3{*F^Oeu=q*5Z+us;Z_YM4 zf7m>wtjq)2G|4NYKi$ekFl$qhkUH4kZ=n?FJo4F`WO3p|-80w8EY{~lBMXVSr z-xtLU@QF}E&{lmKnGUQ`ar626%%yTUibzT(ZawVmUmrqK0EtfTgCE38{C%M0-{sPxpX)6;p(=y`hb^QUp%g(%c zZ+^d2Y>{nAT;t6hsASp^|5PT!J55~XM+(WJi@QURQWi$9R9yWU0U3xgR46~&FE@;Q z%B>o44zK7YpOhK-{$0P&&ImjSYK=~p-ca+pXo+~pD*wmnPSW9KvE@D2SHiTxiAZp) ztPiX|_fEXd%NlZn)C~E2*m*ud;73p3c0v6oR-MmW(SI~$Xv-`Po%gxOj1L?K_+5E6GTPW_g%`-7&g8nnr90Z0 zI*pOv9`ubH^zrVk377f#{wPOyV5)UkFZR?tBzr?8 zo;$~wsC))yWfpoi%FH!}JCAiPq6pC~ynh3Y9qjCb1@RAITD@om4WM(qu7Hzk^Vq{{ zRLPFThB|INuF|)aJ52Ty@5Gsgii{O`eqjLa;C^YRUP0gR6cP|oQ9?i#nH*GD?mlsV z<=orkzUD}!^%0uHU)gD5HPZa5t5~RmBB$$0mq%fTvjHz7Y9Mt)^m>cZh?(HTZw_#h z(0yWs>bPU`NvVrHFZ^dG2g1Al5TZFE68nTfQ6x6mTA!XOyaqwTML>xsN~*!2C9XEl zmc*k}{~l)e=4$>cAD2OUe2YPigP-0VV7 z^;x<=zmJ??ne?K!$()KWljkxGZIWN7?}s*=Q*&>uN=62M9b)Sag?!Q>?Eur4y%Wff zrx;Usg9Yl)R;ZFu2Z+(AGu~E9JC}PWBSU^2TL9jSJSdvp4%_8wo~^5U^mTrNG>RaieJ|~>8wopEl1U&e0BZ*wNxemYL1q^{ zqs>D?LhugUN(cp_svGI(4v2}Z_3fUVg+d6FEIVCIclZ5B=XL= zOBc4OnpK@EY;(Q0yWj*wXH`Aj;$d1(9EuGO#D#to^yfv@sDFCV+_+v@nw08Vc1Cla zx7O^#z~rX%R9$m6&3`>E2nTPaf#7A%usfqf9$)i<|6RsWZ!jF!j&dBwI;LH zx=>&WW*xmO+41t_$(Zt=yY!;{D!Xq5j3MfAfK$Wv5)u>~9URnPOi4`iHE%61mkzHv zrLX__)2AXR3~{%Bbs+}tH7t5Bk^0}KVX>w6Oy^Hrj<*p0KhMHgCw;L9kIRcQWoO2~ zQJ!%dOtJTzjPtBmKK5z?Q5S>?x(ffQ9+0o0TMsfbGO9BI3DHK4OiMlRHg*z%XGjWz z6N^AhBM+YsevIA#s6AA; z*4EmK?I%5dL~UREb{v>Lblp)}4`LO*E_y@XPLS^?38A(I2pGjI zLOc2V&hR0EWTMzlJJ9Xz4IaR0s97&O%2IE-a?SRIZ%N_VlkexYUIYsc5=d$V@HKIM zafXu~RW`TMk6HKToIC-8)0XDvs)L!hNh^)O!Ch2LocD{1XCYCtv$k#&ygEcZ|N+T-S=R#hyb$}>Ism6F9 zSR#_6MZE_rW>pWx-y3u$e(!nxI=R&}MGieLS}K;D0!*cse)VDlBSB#&T1Xt;N4(`* z3nHds$tUs>baheDr@l)75yN^dN;HU{J8V9RIDp4KZNEHiUy@B^2FR96okvJAUec*6 zETs319S1l@7yn=$$E>Z!e?$fQ7bb(bC z`Sp$=#Cvq}1l*^jT3DK?Sf0x9TI}7v{Hy7-F~pC_iM+sd-Nq}|T-01?_eK0lX}rBb z{o8kxXwzQD4PTue=OSS+r<%{OqhG%mxrHQ9#6BBG)nKYw-unhdE(wm~7? z44FvMvacMDt){^zTAIde)1sl4)=#13A42;(xQI_wRE#^qdOVy1Ds3;c9AHd6vA}ZN z`}R1OdZcb$`7j6f7|yMxVwZL=DlNTQPZG<>0M9%%GqW8+#CWv^N5Zd_qT9lMKfkQ( z$&(FujWhcCZr#uSkfT3f`)NF9c`j$;;h*m}lrLhmMBM$?IFuId(p@C6^C$>-q`h}B z1WC<)je>%uIR`xwL=qEjW&dtV0h{hh5;RofJil?V^l`zT+6B83uYLF)GIi2lT+5t%6 zly*U3;g#CRT@WXt_YMsWg*rP=;H2dW2xX$*t+=0l{Iu89X?(=Ro{e5sEU&JVPsRh# zg-m||7jO@Zk%EH1(?FRuDNg_&5IvwVeULnMpz~;ZEVQ7||9t-JTWP|}h~NPQUGUMq zzP?5)t>`{0QB=P++Nk!1Mn;-MFB~eRBW^Mo%?_~z5zdz8S}LSPM7}tePEJnl<_R4F zD8#xCuVO0+JsUrQn*_$4A?O-;kbQX%#F^23E>gIty1u** z>l-H1wQRoBt_0E|J=9!(q*_BY&IMgYYHC09D79uk>Wr6u+~WAf5_(MX&>=zN@@LQ! z<+Mod8-SAI;=%x`vV_H9ORS=j?6_2kTwha`{yRbcQIQ>AP2)0{5_86VLSc{5*S@}O z;6MDgoGF?Z48jxkTDeBJpl>B-)YYF~G=!v#ySC)5t%Jkk^mHY9s)PpU7a?TocMyl--$S~~MO9ln zsqvdwL#`ExnJ!R4gL@);VzzY$gt!jkb_;WbLtB5Bd?|LV^a>HCEcXV2wD6k3w7@Bx zbfWtl5A9WAi11C{S8EojD5kBwOG!CJGx<=awZ0U`X~sTk%X>xAMlArXQmy4PVpCby z`8yiz)~pwil0uQ9v`v!6|44A+O%hp%o$f^BOTZ{L&En4|rD`t9H%IFV;5rpIP)@kq zHP?%&Q?OB0<7Q}f5C5MRe7cjZFVF7N)(&D6rQOL+mqxbMtPhdrg78gVxl#a-8P&Iv zQRmVculQe+2|xSe?4!YE$Hauo@F~z!1y(h7b&XB90Q~B(o7t1|3;;Kv5)f%17rhzMl@Z&~9+}k``PWmE?t@0W_XWgUh zzBJtFup4l__fc@Qf(A<4UUAJvj61d39suf+2#c!02^U2tok(s~GLO+xOzu~fga#l^ zgoriq{(Wx~^^1q%(c){V=jvS2l=Dw~n3%}rD_1RAZz8P7|M0!&$jm%YkhuE(DYv!M zOxUm+%;lSzhtyZ6TcQ8bi{2$hqg#tsNAsu^SHyd#!vNc~hBX+g4<#$?X4(;%`0%|} zh%jxhbLpeQ!=Rv*7=Tb|Yy0|nGiiy3?GX?F_RkWqmfA0wbfq_3km511%Yeamf;c?7 z@i4kD#?WJ4lW|=Fx{tf5YYH%p=81%srWVg;`~%g8=WLzv=$`=^s~`MBwKTuzNlJwv zc9+uUg7Y!fBuM@z`|I;9DDt0*wpdf|4|p9=!>^FRHsSj+Gd5M?>LE$h1c7v`i2No2 zv-SO#3iOJ2$fEIaNpD`hvp99xedn)Yim10KX4@5PV28KKV$#^xcKovC* zyXPa@Vo4 z8Rjip0;_s3oV6>ec7Cj4`>9nc>DYp}?1NqImvJkwY@6%-@z3Qc<7KBVj~OIme92k} zFH+LqRN+D9_?07_Aaq+<)lE@~_|fxFq9nioj~4q0L*C76xR{{O@n!CH}T3h$zOo<~wJ~#aZ{& zT-^VWedXJOJ08mFFeB*_;!xR$oT_tBYn`3^!RT95;y(}4)2K992SedZ#U4c6}241isS2Bp7QyS=l9p&zv?G_XAF zXyk<%PL_Tz@)+`)L&fhap`MSpS&Sk!=wM2gVezG7aVvmHAsvAsK__fkvLgF(I1dCR zb_Vr5s;gfZOaj!4tAS`HDx3A{K>U?69#c&i%ma9dkfeJun(@z=7=zvJ|A1Jvt8Cmq zjF-hsD~3}iHhPZxG40X8e9_pO+j{~`Z~PUYDp_8dhsc?LAP#oA?7Xe4ck*JRlLt5= zGy^9An{hMjQ_Y7&6TCLm`CY$W9R$wiwzM$oc<6A_BJtV0RX9QV4E@(t4@7b(_fW*5 z{(^K9im^d0e(WbyTRM;QwKX;KF7+uFwt0-UOK5BV4SCX7(Yb!=>JqB^@pq)jH7H|1 z*Y=+DybGaBFw>r_^ePqdEpsqQ1`QUu0GEK%=x_1U{tLEr6xJpK;F_Ab&;4_a6LKtx zl&WfAywbCjbaS8|!WSV;T^zlF;l46VJgSnxow(qMe71cmGuufbktPx#tH`qc49P4{ z`MwCnB16GFCHO~`u$dmS!o>x>sOC$0(Y+Hz)+E49%0f~NX`1OlyH~KpZVMudEue-f z?+ud#yl_6J?CHhcW9X4QXZtW&+NG$TE1%SeIV2z==pmYhrqra8epE;8e|1Nx?$NF& zX0DYD*q%&;6DUA#?>WsMEP^jYE>f!3RHm`&vmHy2+s$D+M^Xr^u{)3?sr$;;gnZDU7<9X5Jfx4mwqvpxm z8~z*q#(6=-X&R-an9gQCs|}Q3r4$RyM4(g`s1sEUWUROOuEiR#DZEC=7+yNJ5_$6k zqS)4ms%}<@_{eE;*j<7-Bt1hp`MxPjj|0H1D4R3f419uuJeun)))M_QzH)L-MkYfo z|9NB@x*V$y9y~4kAa{qDzTkXIr|Up`OZxyXA78QCl+B^|e(_OkI^=ruR^TDJ0z68Z zDD+jyetv#PP`;dy^8tm0`Y*6*pSbw9$=O%u^8`R{X17vnFrv;2Eu5Vjc9v|IOm^nu z4ZbAK&R!D{%#2lJkst9ng9a&V3z)?$aC(}+aqj(6S*0Je0?cV zRSY`LEqZFoRqNNHrU*{NU<3^{6Is*`49oo^ zX=qtxD6j-vEbVCKaOS@q$sP1j{C)<1rQGv%{OmPM%*;TpXsf9F|`P@Cbk^dA&37&CZE#NvnKVYpGteRz2xi#>ufTu z1#QHJaP43%u`jEGPVZN}JniUAlGf8~r?xGecz{= zuzEsF;$Q_ERmEB16DwsB^WM3^lU^BEtEZsaU+h}rSGm=F3m^0MMZytH7Exi zfCRL#?xVfOkU^`VbHUl_b(b~}ppPpgxW3WqILwQJ2 zQX*`=_M|6jb&NS;vEn=A!JjIHD*%+84h@h6W8*GNkO0V>qWFaw(($Bl>AZWk8;DPF z^AD`A=N9>(H$5MK&1l}wO2l#s5x=XrJjnMj##@q-qCkG)q zf`UpX=gbHct=nY~lrS~k0wapgpMx#Mi26tN)#E*DsoslrNI|C6lenV2e9eKoaX;g` zJ<71cPPY@0+-N&Ke*6h7!laZ8dE|H9#Pk~wbVXLJn2oC_9(me!<4-j2m-$i4eh5rm)f?PxYC1r@FCBAsoflH?s~80+#vA@ zInUwFJTIH+1iReei4_@|p1OJh=~oc#TptBU+7i1PF%x01|k?a5a$ zU`M=MmSzX|g7q;k1>(jxjy$sLIf|O)>Wl3_ z)X(R)veT{6{9Wo$NJhv$$FM5KhGqfrlXwUqzfLxXkjT3_(5BTf}Kb05<&8JMnAL6J*_PjFZ2PIw>u2=#b5#K9GC!I_8{~J;7fv za|88IR6;^mbFjFhDXi1yu@?aba6vV4(fN z2(V@^&~Iq+QPY(FG6pBM0u|kdXvUajrC7qn=xAzc>gY^k6r0d=4o&?{!SZ6z@c=s6 znVHi-4f^^veMhDJeEE=NO!?5rNvj`PT`qyb%dBa_heIigQi#A-UteGGt6FHOXZzBF z>})%@F$mN#Gck4iTD2X47t)b?c&O*gfzY9(!f?v|SQVYqrwa=TR{K>F=QGVpafCa~ zrC^?$E%Z$ud+0F~cO%Y{3K|IJFc=`EMvUTUISL9DNi1FhWk!Ve<;*fD9ED~NixpAl z>4z7gcO1*$nSm?|T1}9d3se6BHd1bJO7tLh zh_}odRM&3^X%_%?qZW)hWF_Zf2tUv3EJo3KWpLR5h-83~G&y;E$T}NfdgmOEp!{#i zs1n+a{xe>SQ$)uiBa>iyC+3V>IwUf{1_?JK34M5*XvAb zECI8CR=qGK79Gu;=k-FgKJA{H4Hj$jSEC3;`Iaf<>oC|;{P*Nj!jBW$O;)0A^_K-m zss2@_8jL|tz>t<03Ix?R)U=rms(lhv#H2H6HHR-96zf2S*@Qi0KV^kPW&(IpYAEESAPly#RAC%I@C0o0Zl0 zAF4AFJ&N$dJE^R+)Tq@+sf(U6>G#k6@5nP7l@zWg^YV)}as9p2#w>Kz>Yv&HJ+?RY zHTm8>I=;r&w*ycAUlnWnZ}2S}R0;%Q_3l@VGS@qAAhNWI?{Df&4Co4#|M~(Q1EYf8 zW0Ok2I*(j~+uGV@px=apRZdG=XXoh5yfq2J&S-9HXl_%jpFVl=7AWw-y``b>{I@Jz zMvs*vGLAjtoPc8M-Mx2ea8th?&F`W))Y9G15XH2gRBl+SmJsV$%wdW2C)bCy?jg)&kW zABI-TeZqiZvOjH=l(5BI+e)e>)5xvP`%$%h>HQ&DC~OYJF9Ciy==tn>!t!iFesS0r z%;JF-syW(6>|=}FPVcGzE316^{wY6S}V|ra5=>Z*a!({uxL0$SwYDFy!t|EE)C-5m}C#Mdt)t*?OR33-S&D2{Ery_%zq~LV7GU~1ParrE zG>KQ)zf^fHHgxVFuIe@OyN9ybXlXt${G~NsZ@^ZBZq^ z=y}W=EYF5~ZX_5})l<~JHj(y5SlA`@gA=rx2jn#%A{lVyYT{NBp@nc$Gagc%c(oIe z^2sJPHwr$R8H1-#iquSJOn+xXVh*oiQkeasa)tH1Q%6a2gd#NCfMc?URBZfbrDmQO-L;)TLLADan^tm5b>(|fYEYu04gF(_ zRH#%kG8p)*SdNLa6KRgLB}hIvBqZpTFQM$aWCS%Ix;!XOYA%A|{V~6Y`e@6RnzQ?q zA~8m7P2yl@x3#fhpsF001ZoE;SAspPvQiGzP5Jh!75<<<0S)`WWO0WbSDQj<$Gb_X zbfa~_iTFe{7n2kHL4UQ{qR*Gt5LG4jPTc&S#jW&bT9E;_0dJ zK^n^RRm{x~)`6-Rbj%Ytfe#(I5&GPK_wrm1hTP7a;Yk0K^k4V&wQOtFJ)}|fik8cS z$`XbK_#GeB}NjMyUsa{%e z)nFv%QNzyL+71s6LgfW@D(qN#HyY)FA(*|4Y|*BW$(U~Qay>(i1*v~{a9Gp>N^OOA zI{7#E-l=P{=po^u+lBFOmW)%apJ+OFw(>@%UT7?LzGjQ9cWoCwD< zsQ4Kb3Z6U>0OQ$rsorrVW0|}GchCYgj)`#5g|-6#v@~vY*cE!BRZQl!0rU(_BC-y6 zoQ+hJcm)gwp(PfkJqH^Hh}WTEG|#<9beQdCkb{0L0SJnLHxpqN7W9Y>!YbShtSl_L z1vc8)!a%!01|rsKX+vjglxL;{T@K2cbLY-^c~uD1?eAD=Rqu$fTL%~-0{oX8d7!B@ zPIdZEEO}uYUoaereiP-XSBVEsaVlUx|IMMl3HU2!%EmAW*w`4s((8B#1IlMGKWnBJ zR@0kmjq-g@*|=1Ka*Cr-!XPolN%8zv&y96oOCV7STW)V|p3YBL1kS3};zSnRUH~tECsagYxi$YOPvi>fyp8;~n~*Q!VTxks*}Glu^@?+yKY>%z#o3doeO#p8 z_1XNF~Rq`JRmm{YZojn0sw)y=ZF^9UrObW4Z|KPL6Qna`)IoUIh&^ zy{E5y9Ju!liY{%?)Skkcp$ljhRYiXD1Cj+u<4;lI*Vdw{r5&TE&$w3G6|SN5Av_5& zH0RsxT$=gchdfwx^tg8NSO3l!#+&|cW{f{o7lNY&N^Fr2aUxJ-yTbLpvfsV^ogVuB zy}a-oA=~6(SZmY*@vmYvhk{1dQGG|vOr@M9s)X$d+dfyRrD#TS>-Eb1!SrCT zLB#5Ihn)~V|E13?|9U#?o+*p`_vgdlL5l7EMPJcjcThnCdli64SMlYvmZ1yw_A~Q~ z7~(v5@I>SjOo5X{4fORf9b;KfVF93b^7Ng3@=rr__%xfYZ{a?J72Zm2wVuOH54rou zVuyinOlJKHvDnnXc6MzZ=L2!1-prbpzO1M7+4ir!&CHi8l<#}1UZHPs^@N7`p>nIg zUfa9h&BP^0nJ#=5wcb%Byz$2D{sZ*D-p(HjX7h*(E*I-Nm^Z66+e`ky?Hvn&7_rN$ zsGEK^l4rR zHr2S)ydmix?q)dGk$*cD=AwyWg3sq^T==i7THTzEzU^kgzKf?IEPH-i-e8VU+V zPcOErhlQOTdYIl*p1CWW)$FmjdLA0zsvgcr?Zn21h`ZXMi4PkaH4qIi6<=q(QPT@G zG|?_()r|l`Nq_eyFUwjVl_w!YI+GKlC3kV6uz{h5Q zL6Q35w!lfx2`Lg3QM$TT`K{Nrw!%#d0&20eE)4p?Sjy>B*mXtj7pSiqMWBE7ei0GcbK8$5 zZ@^@Z?E%cuUf5F0{3LXTZoR0gZ#<0J0!-;`IjV${GoYlOjuKNP^DCO=tCF8I=|K-< zA{L^J;o01!LB-Wfc}+ab+<8xLZlk&$u7TT^YVB)mF!WxNF3d%T0av1Xb;PW~it0Gi zmwL>@@~tMOTH7^A|ERUu$s|K8*zSh4#C5L#A%9Wu>Q$~4Cw}zjQ>c~oKPeJqEUtgN zl@4Fo4m;l_-e9gNN6Pi-1G&0))dpT#R$DamIMCnaitZKnJ!P6Fum=r?O|w8ERFzs{ z0j6+sRn*4#0>tZC7EIhlqY-YO-Z|1zzN~>blqS2DD&hXwi^YaiHGc$F$vtMPxo9S% zSK6WGz;2=!jp4A+RaEOgh^jiXziw#Qt-HZu6%~_r!_3pQI!N?XnR;74-+gqQ_>re1sPG*+lB_@XUD}j&V2PGX^EET~C%rFz6cZP{ZN>8b`tPIb@c+Y{CQRIt zbT=0hH*MGMjt)Fgv2s8Dd|wnOW(V_j;EW*xZPfx7 zE%8x#^`fEVz~%IP{`?uwCT5uS5=B(^jdjn(h^b{fgFS+Rm{x8*DMyB<)7RG!o%>ea z=cLhl$8wJ46(okl$kp89k}T&<7sKXAv|n@F$m%!Hr9` zE{Ehir+hA>rWYcEcb-eJ_+;e^Kk6d6p`5K5akeZD(q`;KyBN4}JNyEtXWjMG^leD} z@87?Nn0ZfNl?I~SB70Jvz%rpA!RYmc3wtBdeT0lkenMAz`_?T842Ea&os1xh^SY;& zwuhhpx{AIVj4_v&#+C*7_%IJW;3{2r3wn_}h+6_o7d$IkhU!JAzm;@0HeLjfZX&FU zWxXh+1xWSqrLQy!8t9l>!}&qaOJ)zgSA}#)|hl4?h!bkdA`OqYt|TF z9Vvi}8AjU300MC_Dm+)++<*(hmkx&U)065DUjg`of(P?I;Wben$`a1Qy7u-t+I#DE zzy%r}KA(iG;Dx&raX77VrBBKHPhojcb9L04uVOQ48`*V zysUqZaYVHq=mm;!rTt+F!|HFtgY6O}5 zoDp337D2;L?d^ACVs;0A3EI5-!=NL)RN+#3-xbdyx5Li3%*{zb!9Ud+T|8ug*n`9f zoJDB|5dg6%F;~b%b3~k7`r?;s)+A_fW8;kpJ#Nd8QMtP-{!*Y0B6ujXuv@Rf50ZM5 zqIMJZiH^25JR3h-`Dw(tN*Me#Tu>3?ffww5NIkwA3P?jgQD7ZvsgIjFs%@<+Ti>M_W=Vw-P)_5O0>2KV5D3RP=7oa>5n20Yfo-a{j9c+eRwovwQoITW%;Mow8I-;Q?HG*4bBfM4ZaYR$IYC3<&th-8Eu=x z>m6w`(q8hGax{6HyIA>4mjY)d-#mVqH1MNyzWwsO%kO5A)6!}tMtrtIJq(l+ihma= zj%Ty5T7B7*D!<*Yss}(WMEQV?YkE;E;>n#jc{03-jYXdRrCnj+)2B8C`s@6^IEZ6J z7Vu!N_%o{WKzx%LVT=F-7eV0GEv()YarRLw(RBx*p_vL1Du>Mx6(w=931*=nmZCfV zSPHl*&KX!<^1z5=ek&DaWg+CRx=A5r1(*dYJF^T*JhJvHMl~^4ecISV3`?(kH)~*( zYgs4ZJL2IHU)P7(&AU>rKOl>{XmCPNQ5SovPsj_0V_>))kd|E zdF^I?>BXO9yj%hN&FGd{IL;|DU=}2%rWZ}=<>Gc&ZpYX3R?j6?#``BGA-He!48Ve?O0pEKDO{X$!C0P@%)C>*9W!#B$O@5`c~a#(X$& zC0HzuF-YD7)-weU9?0di^g0wF?ji_olXe#`hvj1!?h8g9WH~XVct@ol*wz zIy#_LCRB|um&K?m`+2{sJ(r3P7Iz4s;WYfqoe()#C@*|rO){7EDsmX@z8&}ij&_UspE=#YK(^7FH?usrXbIPyTax#|)kv7}^O zj|1{7%AFi&Yk!TKVq&3X$p46GRzWx8I`gwjnUBa5%%3>lS=uW;~a#cyV zK1KmVLC3#M@}8xC`Md>Zh?8>p+Mr=QAm1vMS7>~VmG0aIUnm*4;lF~BGm3Z;*U zogG}EVXAc}3&sv``iNJ9x*I1oU^5_2Mn^^ARUwVY$ID-`yeNLRrWc2sz)8sVz;UjK zF|Xx$poXwoNNRlD_e0l%kxCA}OFEf2kA*EXwY+=@)e;VGAdJ~FGZC`)=~eYO^f(Zn z2b}b8-@RMs{{q6?Bsl1^g-W~qBt{2#wy$pg(%PyA$LN`P%yoPHOxmt}`ZTNu0lM?w zeuFm=b^%t35*((rUlGw@sqT)#4DuOxVj(rKC-s@`f@dLi9kgYhC?djZN})nkP+0AM zBuMOu_p4O}`X1oC5SwN(Cyxb)MI#ccqMRbqJb6xvqpPzMruRs1Fh|Bfj{BFFYb&~B zL_{!O$uM;OL{cNX$CS7u&*WSw?Erg{k&_csYX;bLq2}fH3n&hXizVQygyE8ih(Bgt zoXyR8^avwR)pOkFKjBV&^XB8+Tp!NYn2LsD7#x?`MPZYx`)CA8Haj~=?BLAkf8-+2 zBSZ)A<>lp&nx9n-Jo2SwXo^&CQP{Q!vy%Y;(4uS?EGz<)Q(nz6`FUGjxDYDOwO2?8 zN2yFB)WR9~;>AYW12t}3-c>zlbbtJ~#7U3f1E0Z1g`K`Cr*XSr@|?AX8Hyb%QJ8e) zwhoVuj&6r(3r6QuPn;lIi6ZPZ?`1sO3waq1MnDq)RiF_D6`wrO%4s>NriLx~%4~x) zD^A|v2;a?4heJj%K3D@r04WMbE8qyA`QhnVW#Qv}-s2dwl_?&m@(Qdn6;PLWZ!)$V zWovJbS!}L|>zp(Rgb9zI?~l88+2_td5Z7TBqnu*(fl@u~T1_v8O=LOm;4~o;2@}t_ zos>S_NOQc5FgIshr!hJVaw9?!=j?2zp%RIeg6%v!o6wy^M;}YkEH)g4B$1a9=3`dt zjIwkx;Smy{D9$dpZ{J1Sa(DN;l_q8u7U4Ttz zw?;9A1qy|5j{^#hs-D+x-W=)m_-uP1ubV3UI{D2finbI?-n2s?7> z(l!Xs2s4lS>b&rw?z@B$Em*gJN`mzy${9}jES)`cfl;+)ydLsVwJ#xHCOq8kA;@xY zq&8Zqe>;M#!uD|0}GsXv4X{eCkMfUGE?Rd!`)MV3fSoQUD+}}8RB|p- zotQs|krn7s=MgrH&-FMU#lbQfj-bZ|ZE|vQPVq8AG*nRr^@E$#J!Jh{-5Z?OwfOy& zPuwamt?GH)Hu8S;j@!!EK;RUQKA;!Rljp)IoGPlSeP6%cUt0_r*sE960vkC#cXpof zt8~Erf*0SXw8J^!1y@7F#oh^sP-H`y{g3Dw7+{xKDYN2Du%E=)d7^4*sS)*XW*2Tas`=No<1Wu` z-)55Hz=;Glvvlzln;x&7 ztAqv=@pBW^jtIpb2bT*M9zA|cUtfLX`s*HtaTh7S$~y@OV`F0*1FO)zUdv$!ufYLW zjj&8?G!*#i0%^drA1F0Zutn7L;y-HNy*oyKt=3FmfH|g)$(UhD$WMZQjg)#NX>gzL zQXqDE!t%lZEdH?Q1elFWo$LE9sh&KEDWZp)u|_c6(3d`qI6g*%?Z#qvA6W2|5kG2`1^;Pc8Uboz zAZB%aNIdKPU%*8bIa`sNGQpHePMvwC4Sq0a&M?e@Gg06viAo;69KrI$fgdnI=)Qcd z%JkM^J+dp#mLX=XuUx@APP8I7*fyNAg;UgUtH-zCEq}FJMO)_TVrp>)-4Qks@C2Y5 zC|w5!t-nqCD83q-Ns`)$`;Ts(m|jAXjl6jixSNn+kt{dE2I^IY(jVW+-SvLe4Y4aR z0)A3vQIv(&SKuUi4xEhk;sxb`|MPR|&XrJ061Ni4JS1K!${qXnPhvtQDk=*3-68k= zqVJDe2iZb#$iec@G#N~r`$zpCDy~{Hl1eJhiYZfL;fV^8Zo7<bD(hQW4mk-6`9%7|v@iIbuXlDnd<&h86XAExDAsx+E3wh#rD@^g?^T2mTilgD< zN5)TBTitPqDj(3dmruTv4CgoupAA?mgZsvcax3$+KMmD9{nCS6i(Fl4v><3XbaPsE zb8`c0z)3T_^fUrOLh$tdM3vac8>@1R)fe|~2_xqiScKIhI~{TQ5I#1Fv13UW?N7ti zTsAhj1FG`HJMr<`D1Fr7jjyAF#;v@pY-GZP^95$yd878@q2sJ1;-O-~d-Eryyl9BGz4Cb|vTtbia;<-W$gTQ3Q*kn z(b3NK_G^rCxGgwCQF(i{m8hVAfXc~}FxUVl1HZdVv#60?zJyEV@Yoni6%3m4wjC@x zlcScl>cS};LDD;cyccpjfkVXB3IG6=vzSM99R>B|JOLU^oX=F!q&| z)oTpOX=^{22;W47(^#;WvA;0Phri_GQ%cu5#2yAUIwS_TXuKmv?oi$RT&<5WZ^SS| z!PC=N*XfN`h!zJ99u#BS5LJu%Na1oWx}JeaNSnSnmY4|BELI{4U@{9_8SFqUERJP1 z-IH=Q^=l= zbi!}kuo7j1p1q?3ragcxg8R>IqIy6c#4=H5!nQoh%>XFpMb9|AZAP5u0VV*oaGw2P zeyf(3<~&Z3f=`e(KT}K{fm?=DDAjj`#C<|i1?k8%6 zxccS~AE5ppfYokkDQ+~{Int21Fbi9#1=ipB^C!}^5Q30O#5vz;-iwlpXEVn4f%9nbE4UV2=X{N{jkBMs&$420-9a3QR4~TU((-77EIu?S zBDcd_IW6l;?mD=2T^?d%Iy^l}}CYMjR@quI~LqD^8KSWIGBh_(I&zSR+TTI4>Um4mS}NR7v)S zQ4f1oY|nTFpd(q6k45R^$%C;f-SPKn6Q8fel_532)OW)M6tTZnqlI^s;z%RwX=?g< zQmy+Kj?9iBp3dUSHA7P{l}4S9z9d?O$KKu^rsoi$uU&*Wej_|);kOBE!;>m1P+bm9 z&A}84DY>J=D5g%^*f>0oeKjWo?3Z#MKKzFH3DaC%;E7hEnETwv5X2Jt3MWm$_T)i> zs0hmq;Qvs$0s_Z3A2!*5Hue{nm3^tD>1M%D67{#tqqiDz3xSex?QbO*T_F2=aY6H6ky{ zo$9kA!@~l5_pYV#l_gwf;H}qgcZHXc0MhpERT!*`ROEJv(-qM1@{$QX<`>+GrHxRW z-}-?}4riC}m9C{<=Z_O`Ra6WO49J6yXa5&<@BNSU-@lJbvJ#SzR92FgvS)TkvR9I< ztfFX1S=q@-G9oJ>AtX_DLUyvL?2wi0{XI^v>w3Sxx6fbj`S{_wUDqX?=kt7w`~5hM z`*Gwl#jK)bZLk*duT0O#INi4c0D(dhZSiZAQ}7^D<3ewbDJfgws|CF{wJ`%4{8y=R zXchyI*`0W+VxppcmFDp65PXI?*t((FAZ3ow8gCNjx)JP}vOdh39-=;@sY#<(gH{oq zg({*rlm(9+BTEqx--`{4=YphH603E5tiZ}2*IJgC@G%5to0gS&=uc#m+|r|VPW+qp zjoSHrV&N`WdOeP=Uhc)&UfnaZCZ;CLyg|5MG3Ef5ex&kzi7o?wKo`I%liM~sd&9fp zacnI7=n-gy$OB~aq1ks0Z$q9F?tW|QRH!MgUw0B`!RZMmM$Y5O20iMX%ejU;5x-%S z07aMaNo0d0qkEjaGzkN&^>u96JK`)TKb?xC#l#9={8YN*;q`)pZD#neV3E|>(LqmH z1p)A&yD{4WC|bh2+qZATar^m7=5<^-=+R6nCnxEovxkk%HOu4TBES@>z-#mH>PBH{s zU+@{w9B7C4CQu$Iwj~TV5zIVbRJA!9>H&*pD$*ge@sBiz#M#&e;IGfe%ZvXPIV0}; zOfX&qG@h!)73dIB2Yv;0IWBh?FAfgAs2Td;JZpjf`F)7jeXX|-wGfH?W0bLNL$f*E zlla&YCs&sR0om#Ch)76$z^n)$6ecRnF=TRkd+Y|Wlm_l<6AP56W&7^_!uzd<1kWd{a-DBFta*3Um&pPi-vMYUH)#Zd2G!PDrW=~V$h$1 zNq!EV8`B;t6P<)p-zUwQw!(vqct_@$T|0+7{u;#fiBhp-9kb-}P32cOoDFa#cD zqC(q(WUZBrO(c30$RmM+iuA|zy9nMxFcExuNr=}Dyaz9Yt~pL4`}J!J!DlAfa8al# zkrMx%*KLo!6gVT`Bw5CDX{|8b1@cjAiAz|Ky=CO))M(%r%+aW&BHFXL8QLRaeGBfR zp$_*@OJRa6q7I16hab}$#z+gr0ze*!ax$hN0Tf;2johFj;iM&}^i@cMMEo@lN=##n zeGYDBe)_VxxmoC01AwGc)czdwlvAT6c#kPMS(%wQhmW8@wzJzE@?uCd8VBgqCgA`z zncFbbP1i$fLGFc5fgB&jjfX{_lNc%k;Y9ks8 zQyq}5=KkH9ml!O#Lptq(kKQ16QX#0rN^^MoOO&XycT~Q5^PIB!g{5rN6suT><`9=O*{T|SwS&! z>J*+J>fbM4$ir)c90Z}>D=^AJx$G%t=H&D~HPsqh@ZLQFq#W{?2<^R8JoXBLwE%ms zue&k?;;q32Zm@`v)q;VF6iMo|ByfyZxpfN|P!ONePIpJ>LDjerVch{v85(Vtj_MoJ z)YKQyZfR?`fMbl^iU!>y3js)Jx0hB;A?n!xMWme(ysjDNqXuK+h`oN`yOh4fis9z` z8ZeY|6@vC!(hyQ-peMLf@%|8)#Z6z$D2*X)%oi@)CnF_=sfU|PUso6600JEnc>)x1 zE&%gF#cDw~n5n6#5F7baU0hQ>NeexJqxg56QH|Cxb}=?F@r!x4{1%@fLfg9S->DO1dbMR1r)4zIUi_LcTt{Bd((lgsO3JgU*WJE-EsqU z>x_s!)UogbHsqZi8$;rQET~QV9i+DVD&+d@z%xW$1SFQ59*zo5(9-JZvB-+_N$Okpm{;~;g9R+o(0+;m+PHDpeLw*oT3Z&V`E})C?g-0 zrZF{_`VN48pddi)vDSbz11h$$A$uf^@3QOztvTP+Y}iB2~C^_b|D91)|udM0Btqi zGj3*(Lx7&5U(f@PMAZNp8#1yHYXOuK9>^G{-A&?!Di4QOYsSFR8t(8EgA8;>=p0?p z8x<8bKbOFiK1HjB#U5Mvq@?0v;}o5W$X#Ma>|vO@mfIq|Z-;f7m8E_%3bZ`A?YSw_9RI02D8 zj$~DUG(x$C>z{V>fqcLMNoZya7x_v)yW$FWX`8%mL_%E6M{V%(^=r!2vlfq-l0pz@ zu!NZ@jQoMv0#hi=JcSD6g$@qx^xWzMlk6qT5#i(D_ZpAFtTw{yCbG-k7-Zm(kv~Me zb10iKQd{CH%dq#O5_4+SqwxI(${Jpaat;+6in2uAvuUlD7ZT8-MXUf1ly7XQuR(^TeGy=vat?_T@`X@D|p203{&bMaz&_6r_;!`8NqX_;J&Apx~8b zMN~5g0c2=_Bw>E_AoUnP##v{6d8Kqcuk4+t&sp4LkQd$;T7yJaQg7TJhP)l959Bu( zN*+xdPP~ZD1KEH{`_8k6m6P133!t}~y$hH3q8~V}OM& zKL{>0JFoAEZ46nk;0PlRnnXs{ZArJgcMFP(S*#5n*sx^C7cze3)=X;!yp21K?K;|~ zAdwPUD$+*lTfl(;M$I|{MgT7NIQ2mdP2*n-P6Iy2HK3e~mxZw>7f?D#sK0XMczCUk z--6-Y{b)sXpCCXcLbYnZ5nGP-AGD3ap>RW=nVh5|^#;PnpTG0vyF_OSI;$Lt&jMHX zU3~>_VS{{50_cG&UBjkjv}Nm0e86OqtGIPK165- zE|sm$gOt9=en*xp&SEgDGNZKKvSPBbnyj?wwaij~x>J!J*=L&DeclK?7|;XvvNF6U zPzj}xRz&X}fGa#iO~!d|@q-li6bLNyyl$=WcSr1y9fR7g^-DOyRiFlMZfg3wvW|vf zX6qL-m0x`PVews|m!GcbqFw;;883BDhdoRx+^-+-46aE?S8$R|_w{eHo(b(&Pe5`7 zdVQg7>-f66$LZ6R{rzSr+Z8w0On>6??VUpH2$Ev$O1f9{tt(e*0kQdh0@SkHQ?rCV z3?a!*P7LyoAzU!LW#=(gs6Y!fJ<6-bd5VZGN`{$A&0xFat|l@>uN9OduQ$ z`*0w(!t;(EHFJY(t6Hd)9LueV%)VOZRk+?4P6ZGMxa9O{Z`Bl7f8&(* zlp~^aAS&pE>@Qeme-1oDhpP90C*-8V`45XsJ)R$Ht;p)g&-ay4LKTMl{ioZ~CH63J zX=z}U$kluj9&RqcPyBuS_KR#GbOnft1#{z{KCHQMg_G`rp<(~5^O##H0jEa-D4YcF z)<7%6G(*z_5+7#3=Fid}lx_9)ZALbaA_xyc2`H&#?_J@)ME`d`P#C=ax_;|a^UdF?kpla`z<7O5gNAeTC^)58Ciw$ zmeNou1G#VO(q_hhKe!Oo9mw-Oabl|Wh>y$O);E9E#G^y%b_`#$5237%l6Ww)1qKVM z$n)DGx3fuFDA}RCz`3KNLsz&LRU|kL)w5^ipD|r9F%e~=0<8cG>;9V`B;&4Qt4P8X z5%>0bW31Q(-bgKO#UTZ3K@5dI$b6)chS#Q$|!~1&}I1#2uJsCmpAL{FCs7d)hmJ`)Z82ZHB@&9sk-^$xgtC8 zjh{t#9c*lliHPhEE&z~?LIF3FsoR47tM^BknPcMOfK4O)hB^4t(i4TGM9qI-X#v7) zbJHDXYj|z^_XTvT=#5dpqaOVl?RCHr5II(dE>8sHWzeK%=k7Ot2T_Ib$*APPBg@&@TN$fdRBzkk0uc19M9 z4ow@N8RL_89SpB>(yc)Cc|G3|P%})@bIj zvz*@muf1Z`N^dJ++*9pMFbeiH;u6k%RBO2kN1MF2Z_%5;Q0nt%MI;_BF2al)Inyn+ z^Z&-O3O=Js@lR{9{bDKj#kW!t@E8s+dbbn2yx&XRVj-%jvJmDof_)E?@=#SPDOEKz zP~ju|>kDcOr7B(>$R^w3DJ|}{mKOQs7D8>BkWdC31B_yL?dGtilu3|5hTEV19f-0% zzDqzt;!3U|#B`{a!o$LH^Yh`62VQ^VrbL5lG0c_FbQl>i#}o%+0{!`O1m$LzEE+*m zXngX>p+j-cpCh$CARs^{A-k-sEID~+N%RgX=R-_P(ed#NK(sVGY-wP?Fv$b{ z83#L!$MVjG2Bkcyhsux)gGxs5E9jWo+KQoBR(*iam>w0uNCR4pKV@Hb+}5M!a=7gI zpN)rW6Z$P^B>+A{uHDte#4-dv0^0&uNp$?;$i5C)|89E%z4dz(8XtraVcDVhto(fP znHnTXJKfhi33?qoWN_#FcDSpUgR9XFmq_j*kw>l{T*>MP)kKy76jg0kMZ`OB@MBBk zTwqN=LJsOhPCAOZx?ptTML(eR!BmB(9JuZ41uo$HhGxq@H~_vk%2Ix&4O&w&jykjk z2-J|HI3BJ}IyMk4UqIsFwQ8!Wh<*sY!s=IHW@uspu>npx7{1i%6yWtdfByXGQ~IZ5 zB`}?~vI5Qpro&tLH;R1}eB!joW@{d0q^C~|nuUmCeO)R-wXv=ag(xa_v_UvzL7G7Y zz!k2Y-UdIF`J2iBiR|rpB_uAehvBjaQ+XN}M@W(?EHpGURACQ8kM=e%uVtypuW}$a zS0KCd9D5l02)3A>HT;$fdU_<6hrZ^#efy$w0=HpU4J25I>MjXWB=;JYCUr}l1(}7e z@$t77TVdQhcm+7nQPES80@Z=BywrjAe$GL+4h&i~RJK=L$zWvYE3)Og_|)pzRT+0iD&A5?~>? zumHH1Kl9S!ZfIcqy<< z%}YzOadd=U^k=DC5%LG*Scl=#Z(}o)M=M}JotS)+|K7pfdim@*A)$Sx zI=l=3x3svQ9`ikOHdOwD6kWi(k`ieF0drwyAU1%VAs>XX#P5asj0_B5rqpzmO--lg zR!|CH6beU%eZ4n#35f%r zcYeJHFbC_9uWbD$Vr8&eAmIc@{!^aUi&a2G^l|MlE-M`BUtW}F>Wnd8&`kGyb?qh>UdX+SO?1<5B| zD=0;flA@E&?SWofJxN%@6uDKao7)N@XMh(H~*-5R4@|l{GWL!>J zMQgnoKX7L}A8525j#tf_IG33CSB5=#a`W%-S@y85o}S;c&JYer+2>>=n!;w!5GK4m zJ#|e@)V>Pf)$mazCK6p0QRmu+;is~Uen)YXr0wmPz#(l62ChT6wa`mlzKnM^JnNhr zd8I;EQb1tGw}&_i!1n|FN9zI4>(H7lzB9+kTD2vji-ULZFq!@`E8T)*6jLq*1)x(a zla3eOMm73aFQArrxfDP8_~`j`J&>Z!qu?f>_Jbnk=T4$4sU@Lss}@AP@9kMR@VPTF zlvM?%42#Zn2M1s=^!xXtR>Uc9k)KN~_Mj&Kr6C6W&`aNzJg2G(wH#J#=L9rRXD$;M zS7shIHcwoURHRu3D1sBCgKI5u;7&~uO!xo3-f-XQ=s-W3(gH(kl>Ksk5XGWT$64cH zbz{Xe#A*J%beskYJ!jth}!em*ud(jg|!VlO`Kgg?ctGWDTo7H zODj<)9iA+KRd0>5D$M@WPDf?$VkRmyo(9CUyezJFRlb!tSot6e3yGD`d`I~%Pb!E( zzBDye56vPtitTy*3$a}t<+2O`iv70i&q2wTf-qbptn3d@E2fL7bDim*s*OE8Py zzC|nFQdVZhFCfrjLGZ3cGl4k=(8Vm&&}_14b)Qp9$|Y^?`gs!G%xG#^sQtCLgY?rG zNc({(t2hJ2#Ak{wEV}u0S}Q*D%gmcQ8F8iK{Iau~Xlr|_oD60dS}^GEQ4ds@@pshF zcr^eVLNEvVwSe6Kb%K>KTRq?zRLg2V^qAG_x!U>jQ59x#39)WZO5EeI32uZU$4wqEMZcMCJHuYw@Q&$hWiJ1=CM<}Nf{);$hoyC=*1a2 z5cDA@ho6=lV;r{mMvpTo{42kj1pG1t?}IJ}Nkj~R34diF<#za9C?F<=-P&>_4{)<$ zvUY^35>(fgH@h!i-_~`ak)Za6xa*I^nakJK1R#3hWq`aMp(?%#J0vdwVngum%u>zM za0IPD4uN4;P>2we0hF=5etmN|ToV@Im!J!%9I&W!8CzJzMr>+mK(+$Z$k4(3*$J{) zU7f(KVXkZ$k}3#+cQr-}rL}hBUcy;!z60%6( z&pjA%-o*0}{d_aU@IEAtTprtx*{Uv+IB8Eg@%!`K3C$iD6Fk9CkJ-Sl0J6N%SwC3u zM%#mVo(DD!5L>#+pl=gq?gQk@XyPoNqLXwZAM;zV{o4J|6R}`X&z?~@jQzC3_yw4X zI!oUl*UP|`3=hKs6V1(zSqOB65G~Ko?>IZCly9^FBpX@@E$;bzF)?!a1Ox?L`4egKLEg;(kU(SO{Pv!CI(G zpH)ujvLhs8>FEG+BI`#ELv{xYii6`ay2p1UU{6|X6%)KsctN#PVU~j<`duEP1Ar?K zB3!UQ85tQ-;4ZggOA5Avdjb%sxj`PL0!+q<(DvP6#_B?xZXY=u#*t zWW`L8BgXJ33pET>?QY#dfm`8!VKo|HG;V(MjX=nmZa+wEgtFPMo*d1E{O|ESlBYx5E7l1cNZXshnzD34!LlI^}5%^fAjci-)M~s1M?bNe`vO}a88%PnL_;L7Ol?0&Yf)ho5 zoh`iv@c65sJ1m3nU2x5ac8qTP6%<6}ysMwQ3?UF2X|fl%<{7C_^g&M#ud>a{*4Dq4 zmzN=-kSC)Ft-=0)x_b-WtlWHjvNr}vVvd1WT0y(fx6*VMViQDxfj`2CI@_g=A3v^v zk7KBZQw;SHnIN6pYp`yEt`rlgs!;frmzN{94EED>0jSN8c>zsCYU?jBow$FnUmW!TP?-y+ zE3%J6MTgz^^XGL8B^a;>=Zm2wGssxL;4gM2s(dV69PiDexb03x0Zzv47aJY@@NLa~ zJar3;7dbh9@Teb)qwK)ZY~l|UYesudXD8XMD`ksHm}8Tp`x1uzlE2K4kNY^i|)+6b$lX_ z)TX3h@hs^5q>!gQ85N7+jFFpItaZ}&Fd+jGKPa18&i8#YAY}QOgR!~r!U^$BUw!UD zsd2raulU|R(eRQpyYK4(GsmzF)_v=^l*gu2%*d{7K{KQzOk*USfbak!VL}TQ@5-2L z=oTEAxkTLF4dntV}gOt(!CNuNFYo@xZ+){_jP_Ro$VRnXk*Vvy~l>Ru9zOL$ED9+OP z&nVPuK={eMSY%w8;Ly}d3M!489_PG-gao-41}#5*Qn1~%(vuIs4ZjqinB0eu&I#Dn z;~!|oo8!|!srQS&9kq00V;BZEtajYniD8M6n|MLOk(gBj<@tiQ8T>RjRP?3r!b?0( zR_02s2LTpfFeUaD!dd#O0?J3c6uJPwA3pUXgjHymiAH2#b{TsOdVxaYH;`>Y7%05Y zsDBY_5Ci7{8fj@MDfq|l^Yc**lv4=19>cX4!@a8zKLph_9wmlEu}-0=Li!tuRuxXH zL(F@o8)cQcZ%Eb^TR~M8+xP~MrlWYG7bwq5fWHhf1@hDZqg1m?c6f zjbVX^2(+ETVq%d0f`bHau<=Dn1OFge5@ac%y8^^*8}etsQ9fM{HoZ6|@ntLA^W(>!HHzn* zz!T<0pne5E0eA`(Sy&h*A+WM=XrgWOuf$LgaY`X{Il`nBrRXa~$@Mls|AmPN4Gll81E`Vo!%VWV*a|SSVdYdmGz)1S zPFI{~bt8ZI$j%8f@7bu`>&5C+RD#e`ulO#Ua!D?<8-c%;*6{A4A|oMS zUF1B%s)b66`M?2O8~2gttL5GVQUPdXLqh{x(NoD5(ViUCYFPR-2p)%(cpy``Z+eSajw z$A=`jMO;FHB0?0GAU=_g+5?((z*)-nKog$OB!A1%5=z`2p(}LJsc{S(EeU$-L~j_WKvN`XVZl0|#SM-^4f0LkrT9UVNJxLW-)xxCj&LgHE_C}S znZbS6S`wcOxo?E@a7F*{@g0s&{z$KL&Vw+Zqu$dtel>z)Eq#rZhP zzz%>jly#8uzDqNj%}0|yMh>m@pFs#@pkfjd0xb$PDmEE>>stEgA%?+#>Ch}h=UAh6 zBoA@Rd*AR?2#bjD)u}sRBCKMLgQfOrzCt+ZD)(SLXh#5u`9_xzRMOo|p;HgO7bj)1 zELEf8mByJR+_{)jDO)QlyJ%=QhUm<6Jrw$(HBd<)8%W;#@aj$DjP_NiEeWlqrQixK zAFMytcYt!g$~t)HQ->tqEZ+vUa97aGdaH2O0Vq>;93u;Mcz`ikc5-7Bx!_iiO3M?$ z1CiCiX0;R@JTv49T3d5%%XM-Lc{L5LRjC3f;XDAWDM%T{ce2mafOpR}zD#Syau~-C zi-<(XvCc0pBIM*)jo=G1|4KG;07Ph!fR|R7b^Z7eQ9mMe*umZXuwO`x@b7p9DBeQ= zLpd5kme@N*aI09`fQ$%d`B=Mq644;-d!~0 zNJIzPrXbDftAL*C8X)kdrV#xy*vkYc5_~zfNik8N0^2eiIA@fmO$LGH7v|?r?3@5c z(%*=R9I8|ZU$so>b?GUSeqps7rK5P|a@uF-H_X3gog*W7bJaVJjmT1%Ad zkSKD6qnry44TTIxd{A?F3e(0oDbb*#8a~0o-+7cUDgVJZJ~kF=js28WP|LjGXc)j`w$nn>WUkB)Z*KGguMF} zCLaoK@Ml@T=OH=S8>#c+&&9vrWxB8@ttYXg@7p&zDpDnOZP)2jP&HUVN%2fgR9yU3 z>$rvF-}S$L`(?4}K)3^e-@85GV1YXux!9YH!L%cM& z$A;G6bjSVz34-~MmKH!#xD+gm*nn8jJgBn3^T7nL)Zqkz@UjKdAOb54H|%ao*v%Ov+bp~e6ES1_;&(>eg!(Ko{OLNQ^32%WYb51J3**v7BX zfi***yC4j}N1EAuc>N7HPiS%FW_GK}0Fv^qkZbjsqi5Z_=r6nOsgP7|E@3N)o*X)? zs^3d;TAhG4-@YX_YRBE#0WgBGgunAJrq`K+VLgD)lRHO|7N?c{wQIN+KN}4aFTFs= ziuj5Yo#h*(-k`Uh0h-NtM<1jTgQGeo#_PtLKf*v5@Uw6cpAd!m1b7DIOReLevS>TE zCpCzVcMxXNIX&h0mzeN`R>%1xeC1d_vo##0B}Xzi5-LAS&?-YI0ADP^fVSwu%fHU3 zzqel*YHT$wp$;aRuJA>_Pw*m!Tof8ZEvM6NBh)mx0gX>pSfS73f+EO&a26=?0tl$44>y6EPdBX(L0N=aH!lW03BZCOFhqQ(V+ zA3z_d*^t00SyI(@Ac{eO@S}hhMPB09sP3ny`dY zf~ab2JjB9+gUV;|1a~TK*5K^hhwmpNQW$w!yLUwb;zrlQlWdWXyA;9)U@ct7jzN8l z2`uQ!LdjlkS>%&yjKXpTmpM26;M@u{C^*+qb96l2MKpI2Y&=R#T$5}MDg7(2=1Yc* zVC|zfZ5;=)hAG0(n%=H1qTsjUGVG}Sxx&$(Abmc$g?!Kxd;)ClgoJJ-T;#?S2u}ni zaMD`AzRld4CZlis>s;*XyG!NPR1GsPA13o>mhAF-@D!HcuDZy*hBX0@x|gY`)i-R) zc=u!G0B`}Z^gKl$5p`~i%_KY?sf`nTUkOusi zS6Ru|%ZaD&ZxQg!z8Q?)t*O15-b+QA+`?^ZHrZzcVwuz%)9E~d@m0S!hXaAszM6L7 zA{E$-EN6+>NzCxd%yn1STIj4tVCMt^z!ID1)TmZnOChYV%l?zVK}!x=c*AmMJdV<3 zR~Zud_=p+8MCGg)&97H1f8<6EwjB5M^t{1;@7KvwBLdBJ%x!Mc|JY$dZ)=Y>)Akpc zzm0(-W=;R+Yc{i-ct3(&{__>&z+#x_^*`VBoDJRye(`_5N^h8XQsQFx&sVh=HLq3$ zP?!IFEmwPjjQQWMKJgs6UC<)`=WFO78Q$anez^|)pMTtEYhu^-_g(i<_$ojkQ|Pg^ zsk?=vJe6Y>#i+O~k zA|!s0V^EuxoMaQikd5E%8Q3!i-`8G$-`p_ga@5<- z=K&qV+mX3Vf2)h}Hg}zVtu*MSW@O~#Xr<^t{sd;?hOj!~65No2hSPiR-n~NB4e-YJ zm>A%JI0f*aejkRPpN(yNkEmdDP^jr4kVJ63lAY>q5F&GKo7^*%_|0ug`)97RrRM8m2OptbQLgo>mJ_NW*x~~^1BmrGS zcBv8~4KSPyY+K>xYS%j7DmRqfSyr;6T(jZF+k|;7BzzGdlhDI%=}+3)+tE)*!|IRJJ1Hl}5xEcOsPHlo5aA&w zCx?7xjWj!`;SG6DZz%2{>USY{&hp05J1U3w1mVi zh=fp0-tBV}Yo3cr82k&PK76d?Hz3R|fk1&?2|6%a;TVd2TqKLgK$CDQ) z09*L^bJEiMNAHE#az?1aOGlM_ZylU63?pGH>hn0`NG&N*{}924xBvC>%8EAqQMF#$ zkAly2#c_e5`9g1bYBZd0ESnX&hgvHmXt=KZ8#D^oyh%3f`SW5pC*pI3(ODXt)Dcb# zLieK@+(}X}*S_h4uJ$^TxAChQRCesxfd-7F=F)F&uHx+D!fm4#*SI9+J6I(Jr?h*5bgD?ySsM&mW-!4Q;H5SCyaXV zwZGj0uZW4$nZhCJ6rB$M_#gs$^a5BQ{tDOwj8$S>3=Xj{*YnqcrANOS7jV&ZJ<1Qh zwCvxzdwVBbz4Cm(Y;q_EIgcgzle3XgvvBk9Q100i91;S;`j@x{PlSne9g^eL6}!TT ziOTbz0Ehy63SU{#Sjg_;JvLWBoa~O@cj(ZMmX-l3QiwnWiE3^z1S;9C0-kYSbV_A(cO^3V{35OE4A2lIS@&Os}tGCF*vYqpU~y%AShJa*QN^aI?x+0 z!~X$)3mc4J$E1@EZ9&1c-bD<5NMW}aWi6fwL`bPYreUu8#_CjW!R`!q)PflN#j?Z- zFI(ui$Q6EEOsw;2zR90Y@W+L~0td}UAYYuEmhcWtN=l+v5)l(4}cNNCWOTvl z)USvfZ>+xpS`+-&egT+hQ<{wue9VbD$^6{6-}nFR58!-Y4nttvk!c;mtA21Ev6&f) z^F<~r6Jo(CIC${(6fDk{9w@i!j-|;u(ba3YPg|;9!chBjTW{p3@5dX4za~1@H;?#@ z@O_WqDS6u&_mA`R&e_vtmuN+uM>75UmS=`m_@wxiZz?&|8(dp1+oK;+dfWEO8(VG8 z;Q6$*CQ%Y~L-&iHf6AIp^O;;2?<_4mG2OXj{qUjt=sCXp6PvAXNm}&F{=o|=kHCvd zVvAh$J`PX#ZUG9V;uSQ zdY$}VRZ*gP7wvZ{yY4N@b?TMfTs?b%@4)0y*M)%h+O0y(Y4nd?C{hO3WqH5NviGQY zm2l#VMJUUWV%5H(-ixP5Wqb{mC+MRB4qF6kxXHZ9FSxV$C3cHbc9GG4`HfCi8Jz?U zHX=Xoi(>Q@>fQg8-XAra+*xKC_U6TLn}1>rLX74!B0|cFR}zLi?we))exaOa)R_O? zP$jdEwegBw<)+sivKYhMXp1T1hV=-sW3hKjORF7B)VfzM-wz2-J>lZ4@ihPD#ChL4 zqA`PqB2DN-mYS-PMTC_;-Ywlw|N3e8wF9+iuXEG&0dKC8mqc%TUTHB3={RlbQBoGX zuO+iFsnO_W?>k!w_1rX>`x#t!Us(0Nkvv%A*StRRHgmV6*TeB;wp+il*o?--XV=c$ zuhyJ6V%_e4?bLhsYv#fFyh-9k9G1WT+HZvHscE`hP}Z9HQi;RnO|;0{yEU&v^+Tnf z6wgE~Ef>W{C*3NYpFhKQ_`uSH)o@-}l&1S{>pLrccP`dvba|BN9#7G)O`o5B^e%1Y z?AGmA$bDQ$cK6Gb zTN6K}BLypG`WIWJc}H`ipLKosC(<&Wue<+EUGZtLG z-m1F{9$6jHHShb85ft}va>s{vTPcxmX|{3))V^H{aHCm_@5vEaZz?iSUKE+_4smlR zTX;78?3At*y+D-f<^}bRlF*cSk@A3nuA*#rhSm8?>4J|2FP8n#a_jWgJbBb7`EFLh zs6Te`u(rm!mFeC$RObt>xvUQ@Z3!wUXouXgGhMIQEw4LMcGv3NJ3h;69wQrv#+&CO zzG#;$_EiboeN%k)*zdLCe`ME2%V?zk21+#^{TboVSMbKUyM#vS#pPAyO?~&(Z^!)i zd4y%WghlnjomBE+?e3wWw!RI`$mbDlMkZHEmhZefxfb6i z^MsFQgf&)U37mBQjNuJo7tWrd@S`Yf-!8+?(2+x^*cnuLV|iq_`aP z*>UspZPzlH%R2K%{dEMA!vB8R+_>~<^ppO~$-rnq>pur%qm*7P&xWt*AQ$1u!v^hd zUjiLCpH_k^_XyV`B6#pIHo-8ZaA*r7GGjkUKx~NWG--lT%;?A;;h;4Aggqt zhabkfA~j9#U;EBypg|$f)?r8Iz&t#EY9HO+Rc~eKjO?BwJCA%%x`nt_2WgulF7A(l zxTOSL<$hUzV&6D*(S>~fS3OujD%Ec~nI9>X zRr_pmt7qEpnV6D5$CDSUFT2lW+h5}MRN3b!<33-Krt+f2w$$Tb?!#ZJHz_*}T;7xp zwr*wI?(h|x{TtweO11{b>-a0o?stl z*IzzaC5@RyX0I!KZLJhL1|u3y@lC&uU%qw7Bf#m@2@6tcS|Jvbjp~+{r_O)hpEbGr z=;F@ovTth}$+FHz2Ug}v=sxqgwRn4HzNy!tZ!~@@8+NKFTVf*Dl+Q8sNa;#!r<0!K zpe_a5d8aC-8|yE9yyDU(DUw~N4}}GJjGal1{i2&zb$#vqw_K^gF_X$JEA7)0e_vi% z72J{z9jywub;Q|hQfckMIsL~UK9f1s{^uQ-jWHS@ztIrg)={$7Lwc?GNz=|ggJZ$! zs}zTJSmYahdh62>Lf+chwlSu{Rx^G&Ykc>y-N$`jEH^Du+fWonR(F(|c+GX)%8z3k z*c7hvIiqs5`FHkh{Sz0vOBa2fd!FYs|8$e?)MAv;@w3k27ti0FEf$7U z-F(Ap{zMbyochUtmaAtk_O8g*jt2&+y2QEdc$ZvkJ9AgNszuLG>zVLTB?ax<{XWln zO18Rxe7hU=+5PkNye*aRnCOtHnX`=)o91bXDowVPp8L4CtW`_zwK5*{+x=59W5nnp zSwf$@zuK3#M|$-1_6rE8ySF6kWL1CvCdoSAQn7N+a?Pcx=j>&VRq{Nx#E8q*Tu3y$hu+X>f9}xEor%>f zlaU^5N@G;qBS`+R>#As3N$I1AFE8l=9uA5tO}-;@P@j&aVS99G{>!Ie)AhdkgPb~k zw5lw!qn;}ijHRB=ZNY)(HaC9B(%3$=FnW3RSuVHDnfjF)#aW?axv_ojKhy+@e<*xP zle&G*VoPneQMk*@>B;j6WyOzlYL$H0-|>$471>l9TNfSsafZ6P=KF}T_Og_uqjBm& zC5Q9}U7O9p#X||%?)Rb;c?K!?9zDM~s{ZWvtMoj}nX<(mwk$!Xp1&UgWL?umZCJJ@ zSEFs*WxgcrKiU}ob|%@Q_*ZrdXX6LAtM4AZ*!ZS9e9$O0b^Yba>UsIF`@O2YJuu`P z(fV?fUY)!4%Z0lQn$xCo{i;+0|2{YEcLYuTnvtSqIT5|W!xr21+4J81|G*(mQ}f7R z;Gt_Z1(`pzoHLtL&T$u=-uq1A-cR-2H_sT)?6#f1q%eGXrLKm{WOH!#u=o75$K18b z6PlFug!^LoO~%z%4@L={lT90C0Wz62?tjuct5E&@Pk;2m)i3S_T z6QfCum^i7*rb{$kA?USPxxrMNHfZ03%8wt17c}K?WW>6~Hxo|hp&vJ+^6cynJNUQK7 zIT>zww5c$uh?JkfJjQM+Dp-6!RuLX@Y zW!k8`?2buEt(SZ5G{_JU6^$HSAy|l+7u-qbhBelZx4f^_g_u;g*Bze>7pv`nry#CYN_YSDyi10jWnugkVX^_PMjvw(vTwUiq$6wP!kD^9y?M zr@^s7dU8xH+A*c*M7rMnbPcAnvUO1pt1L`2@*NCd@(3|#9kl#(@uSEynt5k$7&#)| zl=fPUe6M>`sqRQ=#XJ?q`U|(Lj>=0Uf2_%Q`iX&oM$}sJ*25MJ24;ZV1TI%onU9K$ zHT}5vYA*d!nU<+(#@li-yQ$dT_nPfJWT+{l`B;6Hd(s&Sn+UHEy2&(y4BvzFN&wrS zn+8ezVYo5iskLIz%;XZ5gA_4xroEDdj87B(Ad<#!hV%@IH(3h8T?k3y-;PRu$_fc# zk}=}_^d28!Fb)U_afhTF21Aoi4o5`BzmKXn7$5FA zCN%x*kVLH*4FZVyi=7pWcn|R<7?(_aKO9d>!NEKt`!{#Kh|9-XTgH!8r~A^}w}88W zz2`=KHJ{N=-%21d7BkG)VJxAkXBgR%Z#O#UBkugZwrw$LP>i}D%8`Vzn2hMbL{@#r zMrioVlzo@Y&?NOwbL*^;OE#NM>v6h2Y>t~Ma9db3mdUP%CQlu8YHHf+UU-h=C)KgE zid{fx;!c;5v%wOXV7$`)#Fy)*nzj#zaa#VGto}qbNvg_$-y=_!GBbn!ngCtH$a>q` zP=gG8_ORu)J9?8&rx4ka&z|R)L}7aIxQb!CAx8XUyobagOo^&L-kcWpnlbeGp%>)h zJtjJBx4$$P#nE)%J5!Q-Lw%v+X{P_e`}p&k?nsNG-$Pk>)yh#{^@#fg53~H+Cn?&n(v$d@AE0=Gxtnc zMn1&+^lQCjQ|#P%V(-}*4UVZ7QPWVaFWqkh-AN`XJTR^hWbZ6ushVa zZnd-3X)MHf?7x0+vc!kh&)P74>it4u4T`rn$Mf4X>r^B@Exk<*JTgMzaC^Q_Q)WB;q+!1)yNxUsd%l`nJb z1vq|D$R4+UK2+pxlWi%?3|{Ll%P$X%XLF8^X4NbQ;#l!B#}wj>-i7EOMe?xvky2ed zgzUb}g!4)qPaZF97%mm%)H!NDT(j=^qWDeklEq`G#LAvK70Dmio^5D84%)4HPCIBG zCzzKJ&7-6P3bRy=YE(xGGR6}lCSs4j-e2@FrGjkDX=oAgIQg&DFEWZK>D zI91-iae3N;ArOg+b{Muuhm+aN)KoikZCX}-sUtyZbt;11I_?Z2S9IONes;9VwgnnI zv`YWzbI`(Oo+j{#Mj#V>|927-7Z=9r9iKi`#V>ZXu6p%FcwAazri9*M;qSi04#*-r zZ-rPRdL?8Sxqy0DD&P5}!pyOK_AD=*FVD`M`#+NDL|T!)$?KPA&Y8p{1`LpkIg0S}S({%I4AVQVEpuuysi1E2 zR&k#3(ZwG9rt(9qxEsH_E&cdp>oQO#)$D5IB)7o5bVc7P>2fWbPvSKL1?Pq*~u-u;0F zJQ{7)rBAm^7phYkbk}gz79a4UEF@&kmTseVL@`u+ELF+;QNP)}ME-!{?15?ii^Z!SO&A^Lvp!zYdNd*!X79t(U|;$7 zv*RAZEpOlR?zpI^L6R1x^);UfS^>I;O5qLj%Y$rt-scz`%snL@c}z+NSA($!Z}VbT zkcAPa6{m&rFe~+L^J|&jTBUc)*nPyw?IuHQER0yVSKN2;6GhGSte7}T|LfZnd_)!z zJGk6nQv-UxPG6dbIu@>xag>Y9p46VkVGA1 z_(Ojq=cj8r5tGxH_6|lB6%}q?UdSsk4uAnMNyOJ^ULqnP)H%iojWjkR455^i!20gk zu{2m(WoGi8I@P;7vUxkjc)+XmXFo9*au_whF-Sos*C-3b3&fQsgj%aS-!GNZcz<{; z_AV%i^!BS$8_!eQ(NS-m2Wj=5 zyDfx&QSOa^cYWA@!MS8a{0#<2`(Hlw-OXq*wq21@VHp@lAWaMrxH{h_CdtCVmk?QnLKU9c*)8OYIGY6Fc$^$kNND~8-V`BrSL4?1uZxaXQ zkMX*{9+J3;dE#3b5fN6$N35Ez2c0b}`P8EMVSmN)FORVOJKyBzi=g(87B)rJc1#Qp zF1bgP6ci{C|D`7QEy;QKZ}Va)SSvh)lTUWGriu#fG|mnXb^oco{iy2qRepu0Jr0>o z&CS`VseV@7FuGE}3Xy_=0dLK_n7g6*R+MB5Hi!` zwmFXnY>2Z=I*2R=?CQH9Q^EUS6~v@s0tD(5#uG+Q;YhKadrEW~XU=J;pkZ6d&cRV- zk;@+}bMoZ%sz>{w<>jqT-L9`s`*&bboRuB*NYS}sX4an*N#Gxdigy@nY?BWEe~#sJ zS-FT|=hb!eCU`vXGO&!t^NB_z6=n;i=4 zxBpT+C4PPv+$##MBeSdLJ`CJ25ekAF{)h@+9HX{-6{-D%GX#|)CS*L2TO&xdkAXoH zL^_DOKT@*aN48&-rf(wgNu)(_82`~;o{1K?Y;^HrOY-)&2ygmiV*6Fhc|5OunVZ|v z*LURnf0v%+eMe77{5?>)L3{&?ZY)7ClF|I;#Q*y#6v{!+)jS8m5(qT>Cko$2gb)1B zVO(*iu%CnQOQ;UqNA+Yc3VWfuSVRzSVq3uI0>L>4NClV(|HO|RM@c`N zQ8LrhaW*kyz7K&}ICT)%S-8!BRd2Y79S46uD(;eNBSy?nNp-rdE??s9irx%W#pz0Sb7_-(;=Pv7C>J8Rc8 zb)m-&9n8h?4%fS64DF6&zNPt8K-Ec4Sd?7qF}IPL0!IR!^akr&moEK4*PlB_*tUdY zZ3iRN;-XAc*m95)4HbeC#^JD{(I-auGzwYptRLv4KbQ4zhjXFh>=|E$mhay)4c5L| zULgE~|Bt!1jLK>a*G5??f^>_dA|)-IA|N7-gfxfF%y` z<34+jZ;bPeJ z|E`!PBEcvc_=zh(>Fg{7UMS4HA+7?U4FDGKo~+9J-=Bg-b1U>R1>jIdFk~z$I&iyQ zaT696{uJB#AJOjie{IGG~E2JyL!?1CZ7^P&^v}saPdjX=2%W`O!DnU=xQ+S?lOZh)L8zt0EU<#R^YY)hC&rX568mQ3GxD(ac-VSIULkKaD z4Qy|}aM-65eG3~k6qrGNegj4&%Ed*sil|B;uP|(sWK@R|$Rj8y2%dg?Nc_oEplj%o z(cysw#f@=b#mtOW;)+Z5bI`&CcN)mo6EH-c1i|g_Oo#@}-7Ga+VJYfCi>N!dc_vzd z3PaFpRBY_T&=6Re@>FPm^3D{9Z@qnM34X9u*-t2Nd|@>%EPh4B>6=Y<_JX<)$(T_w zQio7+yy`*3QI_c>(gy12ZO;0y6gBa9?_bqMa1DbU49zb2c1hhPI{(sxt;Ue+3l3Af z+kd)E!}1=Ks0mDo-u@>7=Cb&Jk}H099; zwLu(TTJom^{w`bl78D`BNAvErummX5r8%QX57ydVy(9n0s$l?4kZqupIp>j>gs4u4uJ|2a7SUQw(E|8#K!>Z4(-f7S*d{Zht<)F7kf?E}ZiW2&Q71 z=2zF(3n#bOrJ*WPM+RL;Ht-FeRv-K{@A35pjKAwVbxsUOfB-XY{^I^gdt zOmW2%1-5vNmO01>h(Q(wnoxhOnIzH%jMFoDNic+ctg1l!9Fky=jK%^LPtZSjL%F`T z_QV4eeLB>!gu$~4*k{vbAd3ST6fj%##$jdY%!)cZ112jF&n&n>zV??0y!xQh%D@n? z|GM#EE;!aPt8stcN8Rqb^~~0$2_^d$>+CfObH!1l#}}&;Na&+F$N+aSST?-c8ux zObHpdj}Ni|>oef%iHl>W(?R)g>yZl%KVbUtgP;7#B0!4Zz#vHVsS!*^9^&IeI^h2* z1^RBco&(mE0PuoF8WbzHAhSepxq#N@Jw(K_iwgxjFd?YZY4QTI(`r{JpX&D}l0JH* z`u1%B;07}i9sTxSle8uL2k;U0a}Zg8lpn-ui&Yo^I}Xt};koYpr2_7tNx&n5w6lV& z02L+f{K_SOp?<2B7~S6UMq(LxcROem1Edxm4bAzFFO6BnQY1uqFak|nNsy(brB$hO zt+61QF@{1h3my)bSYiqserx&gjE)W-OQQ&g(Lw`Rcouuf2F_JvAPah4uu`r;V)|WN zx9y~9S$C4)4eUy=Lo;;B&w%q*b$NMtRh9Z_e)~rtrd5HBklXZ5dYlf9tRjqnMD5ak&)L9so=f`wBmA*U81FZQ=S3l+3#5ZdfC$4%z~z% zp}}t<7539>`L%>NE3m}}Y261qJwtoBe4SL)t6s~8xU6@rv%9{@ZJQ> z#ub7V0KW$4Mh|0B-l$R_^z7~J!E(Jg-g+1x{1Y~OIyxhB^WdPML>{Yj?;vYTOiXe? z*J=>X4{{<{rURbw21rtO>$4ETo8<9C2W+7L>B$jUiotaF)k-g3G zZk-&Uhi8MaaPaXXfFagQ7^w#&eQ+Q&D;fs{pSFNU3%*Zhn?G2BODQNV)Srn0F%Z(> z9X~;+ydEQnzYvc?mirFnj?lb$AB$vH}$~ zHHf@83}wE(ds5TL@(W5hYg^lO>&j;e>CJ6zpwb0oc<3A82+x2bIj}+0%_=-oG9e1` zL6X48XsTj-m+S!)jhgrF-3tH;>!(6M6GPV7+S2ksIvx%eK*Gbyz+f_0umuS|NTong zk0-h{T{Vj9{Q$fd0Y(Z+_v{~Fl|O>V9@hRt-Voe;939VF2D5-;`Z|z^1K^s#V*^r% zE0s1seKPnfu9Wv9Cl$AmcDrl zSaD#oi`;n+tbL%6_VMw7JQYM%FiA0~w^lYO@!+`tDE<{-Wc^>q^H{wm+@uL>hxs6I zkf7}ZIBHWCLR!pMgTFEZi4B#eEAQOG5)}V?heSa~&GnPnsZi2PIX|;hFC$ z_D1>Z4fHcR+sM#RhtO-qAvXPy*AoxmTY*p&NH%iDf$9krBFV#KY&aC zJQ0b}yujI}Ll@TW(&8e-GtgR9D);_dvJMZId~6Q|)f5;yz!QMg12+QhLSkYflnZc2 zfUI1jH4C6``K;G7pVDadBU;7x8@s-4=9YIA@JW;qz1ULrZO15VG zxx#ra6lWWRv7mtr+z-g?;Z8uEDU_to8Uqt2z?&0#wRd%a`3*iDA-s?b|9}AjgjIp< zp|9;9vq7iG$SAaP2@VcrBP>Z6CIFRg))i_apz5@LY-nhJ{;LNT#0yBhWY1iY(ndGH zgK67>yI9RsP7bSy1(btmXh4Avw&D*r*H_S>5xxm!X;p%o9U&pRiC_m7si0y6Y*_GO zf)hc8y5a!*UHz_Tc!ZEbLL(O1)Sx~BxgN-EK{|-4*t~)uE<$1lf=nn# ze*ifT%vl|Nb;#%-JA{(E+!82u(~voU^|x3c5u|)BF2Hm%*3gKjNmRIN_wV;RO%N$W z%H!QF(mY`&45N_^BH}Q*Jlz9Piu5%&BE(Awlq5heh2mD_DXpNO_Uc>gM&FEAcwdH% z@GB8N#V$MC`aaGze1*Le@Z&Ig7395WbWp|D;b&iZV4t`H>Ne))@VFa^v>y&`9HBLN zczdHtSHfb1#;$)0MZ7t5H6wj@+BmmV5l|z1(ua3 zW5d^V`mTM@S7;NN{Qpe};Qa&{_w2VjpZ#{x*a&KoW@09B>hkFYA5~ z1d`0=K6jA6j}K6W9xhKntc2ZJ2aj(l=EDWLMv5{e4ip89k01YwMWKP-HyCX6P>wDF znokv%R#1WV^+0TIM8GLf+2luY{4<&`w!mIng>2%Vs|*xM_+s<`(G z$R*Iyt-Az~en*)EUbuY#Y=A)*chJG=wZ|8bcXSn;uY-mSbT@!Q55X9|4*qBkf&8*l ziOf{MLx3E-(e!Hr78X|D@UR{$Y$T8<O4uMGw=fwgeFvY3u)DWEnWO#(m!lyl&Q z31a^%1dfA=@jB4kZ3TwMOBL)d>1&W{LV^cUnjp{(L{uQ0ff7M%I&jB9jtZ;_Q&Un@ zB4KSC$jbJni28d~-Ji>XS+XW5`T_$Nz74$Hc``7w2Fhq?D8;26M2MMAS1K-+9BINFaVOZO^uC}=Wp?rz+Smud8ZaHISo1$3>uR|W@V_l`nTfB z+KP%pSqd4j(O+F&f|?y*Ng$-vFl3^^e&(UngF(g*@~%Tr#cFFaGwl6w0dp@{FQ5uX znq0^A;ss2sAUFpTab$zfC@@-p56CXv*3#l~xz`5XHJ{9Gr(0$w2xWe&KZTFeqf!SeVqD%!+q#kqhi%yoV`Zc>oTI}R;I<)hL z7JxpWS|c?J}y_|)09KhS&Xx?q@3?0Jte74 z62lCv`i|m(rISPLfn4;^!w5&%gAP>|E05uo19dV=kAE6+-N+YjVlN#~?%1v2OIldd zF0NNqO%7^|vTvyMU*I;tJGtY5l`Q|zWPqgY0iV?hf^zTl4`yn`z6x~cGx&2ktKMUbA z9T}6V7&D)yFe|7sPyS$@Gs(iNwtCNzU)a5#$aGD{JhKUjaIO6f+wMlyQ16*LetW*& zKMfZSi_Eu^MVMI;{}1N=>{&cS@KS|YfyKkW?ZP=>WV#oO;0s#r|M$nUAfx?12X6l{ zQ~Do)-~0O`|KHK9nwvBc2xVYP0PGli?O#a=fKP5y)c+Ea+p|f9QfHgu_GoA+g@vEt z>YJd%`+M~N&jhbqmL5XAXY52JZP`O?oR<#R!KYpG>ki|#sH1qdYoh+~>(`zNWWXt+XmsV8DSv+*ST=LBnKK*DiPJ%< zBC~aROmd=-C|=3M|6He){8%+_ajRlNlP{a(?v5qNd1tS_VA<^TQ|8P0!PCeqJ{h8^ z1>9TmfQ4AJ6sE}Ic85Qy$`1_<=iQF;6!>Nw%$AyR&1>CeGv{Yg%Dqy0Q3f-ld~vSE z*v`_?Hy8!u`f5vmIW_X%9N3&a|FO}xLLA}1hD+5`^=i+G+`)tLTBXJ9lwDoC;UQ!H zARD{j-p=h@<&@|UM)hI$e{?ympKz(8)IPfr7kD%pex+eLC`*T^Tw$BD-rBaEG+g0o zOnjp-JJT;WY2Pr(_GO%lk?i52u3#EDf1q)m>94DyI)Jnx%=vp=TyohzpysFeaZ({oAsyG0p?myixY1DWP5F9I zcx`uxb(HhjIk7hR4kd-x!biA(v*BrnCyiBw-Zzfs{nce=Y|gtKNV6kx+}_DgOwPE>V>60PY0k2%xtvTwM4K?w5ja2k^0sV-n9x{__U!0< zg6gF0>KCfl2KRBx9So6c>?8+$xiNHO_-evqI^=7~QX{u|n-R(fAegn`rlF>3`IsUSN z57mY=L>kOpOY{!&m9GpmzD1{;CgSc~t}EBg&$uq7?_OgdsxOHJzbJUV-7i>saPdld zR&w(^olJEWeL(%PgIRlB^?Jq5l{h2iS;xq)v)-iQDj)p}kdo71N?~H5pd0 zdW4BzXMbIL9X?PNV#v00u|v!^b5Z=WPP%v4?CYyt2WRqa+or2u`q(1W`k0^Y_W1U0pBH%2 z)tB+qUYTA?=O@k6`U#%Q^cE$K`Jvyh_y3N6Ph^gJzZYN9Y};zEy8VnRA5@Z?CvU1< z!hhZfb><9Iiu6y^z) zM5haMY~`7VP5)1j7&IgLAa9`)~NsE5{k zY?Vz|#GIS&QrfuQpKCNcbAb6sQt9q?or&3XJ6l^GpIB$D-HlU=yP*QLOf<{Yi1y9J z;u#gD_-F$cnHCG^GjX}~2)Ip-^IuvWGyVBAcGi(v))mk4!a!p?9I-R$YTrcrNkyvw zv44WWSEerlRi+AOCp6Yx4`$ELYGPC|AEI%S-$R%|6RCTTOu0aIv3r@Vy_|Yebty_m z*K<>)FEFd6K3Z_HW5?{YfW)jLP05{Ze$B0|JWay4cKNt~{LhB5Q7?&;{#hjXjOj+m zk~5grsXfHA7pm5OMUlAhK=i8lbZdNqn=LgFfH;a5D+#6Vp|lH@V|^>M7=q-=oWwUdt(v)e!{VIZP4#$)};M z48WS3jk;?|%FkGV&MF>c{XI!3gy{gow$aqa5wN5&V6`@|rP%h6zRNz%*cwtaq`RUu3pj}=j# zI*qFi_s-&8!;n=v%&=AgZ6#*=l{jrm3|jIvt((KJ4I?ub7Ohv%p-Ak;#x(bf)VH1KUtIG+(qUg;;ibt`ZPbdB*H&g7 z2Wg|ZrnqD6LzR)IUbb!Sb}xDKr)}M8)y8|;rd1P!HTtD)Gl@+3U z^~{g&V9DI=Ku0zAbWgqPxBK$VTK9!mQO1k2tAnHn>oHa0obK8aSvM5|^`jX!Hx>2C zlxnATw~tTFFD_8eJWrT-3jRz+>7TfL+w_ehxQaYCZWxS7$rCXbEHlz{2>xntasR6J zw63f*rc|J6mwB;nq?UUn+sS8(=7qN8^zJ%ty7tv^=b#3A1 znj|K75Uw!TS9(HAnvRCXKm`?93z>!z)CjKG$g3pJ`)9clwHK7}_$jK3DqF3yR{R@N z-HDBe?-S!aK?z0?uq)k;4T_qZEd6QNo8%_6@Z~s(m*(SW>_9C&59|C>cVgppZxs~k z&)1D}nj5mbvCika<5;?8b!NW8{d$@=Rs>z!SDU@e zZVD57O%Lw>urq(#)}8NM;krsPOFRd!HiUyT#G>Uf_)8we4Sauud&(eM5SB1AzvkV zl~1GT*1Kms+lpUr@zG!DVB`}mn6*;BiJ0gi<>ijM@koqzH+JfcyLYBOgo!pMwq2*5 zWpLEk`|DFb1wDNZG%RlAa4624Z9&ljTFM~K4}%z^{uI$V-axtG$8ulX0`-OrrM$y! za?B(74K;@wy0_2zf6L+ruo$Qpf5uJ_xYps%IPu!VjdCTQkp3OZ_T`}1-Be-(P585mz;*KYYQoeVTY|xy6zmJWN13qE*>{2`7b*7QrL-(YY?Ug5lZQhbx0%3VI zqDD@hXzwOo=x?`|Iiy9P)9ox=c^6O>JjifO>RaZ@ke)fBEIOoSYCj8SNa*az8Z~x5 zNR3(GnwEa%LPGIW%FSV=C0H;dL?NTL|3I>guKbIy770)1$#Ew2O0}}huIcHb&tXp+ zD>}*Owut>|rFwf>*7to}Ts;mNTSnu9=uTz%oAf%*A(QcjCP)>non3I%j@ua$Gvbb! z;2bZvYt5TB*~jAiY^L=nj?L#;G6PSf2Y$a&Q5<>Ofb8c%qBLAbUaMN9-wn4I-eM4C z0!JceXa^G!5y7DKMmn5A#AxV+ zDBZ3fsuB!wI$+kPsiAR;RFGc=n>i4c1zkF&w`UoMO#jefenGj!GddRW9({pZD^}`( zmZ9Ib?=yd&YvpLWucuA{U=Qz4z6~pfQ6}XO|42VrWIRx7HYFtJOV*{iv31>Y7t61s zH!gZwq9!#~*vDvkvHG$OgA|&~cihi=`FH7V+Hf0LF`|bQs*?@8>%Y(Cg$21z=PTH6 z%qg*HE1#tn*h@RBHI$DemMPDHJSX+KY%u`QJ!Ho9$B0yEycG~vpsJ^ z4E!gXy7Zl9Qo+}RBC~1nZ3PX7;@*$i6h0KJb~zhB zPkXmr5-z1yB41;(*RgdW+8zHfIPA*7PZu+g^p}?5(6Z;2l*Ee|QzO-!$JFW89CU9t zt7KaV@TJn2Gv4K@!D9u{@haOb03rtX_+%>O5bP!CW(`}D@(;+a&E(n@x^H#5tuBg$ zy(U?{$B3A~mHMAp0G~0O0?UPof;3ZV?He=`0)L$!lF`5AcvKzIL>YU>vQ~y{+9!^`@AifDCeHYOB6pkfv3~pERD0ob1vFHl$BwC2T~h-RMHN$S z(+2k+V^R-_=vl@}3tU`T^T>}Hv^yjfMs-lD;_>#*z#&n7)9*7ib^+Kd1lOa zbDBJE1MZ%R+a=jHQJxo-zo)gkZMMZn{RUoH#7XfMR2**X=1v5v_nXDXvqzuzOs%P3 zlXmJ{*tygMhEAWd1=mS0kH!_CsRagp;y9j^&6t^X{y3)Ni=UoRpXAXV>~b!Y^-lAt zv>rjk$?;;lH%VuymkEXP^|A?W@bL&=shQ(@!IUh5m=kBGW+jnX2x$xT>wKKznpIas z<3@Qr@YKwf8WRhbq-+;-(DfoR8x5S4HTyT7Pc@xtYwC#Rmj;tLwK|TJKF3&!R9&gE z{;XMTa)ln8#Z>98%*UmfJ72co9eGK=rmR|Ny#_Oyo2FVkL;It(ar%OSh^!!#I3~Y3 z=R?OlQFAtehJn73H-Wy--gj|`ySMjtEf1NgX!9ER_f)uT%iMoTzf-QJ){!*Rf{aY6 zAdiFQ30J$+AGqkh_>P|fe@}2>0|X%|BCIS<^IgJ)Iw=SdlCfM8{wdi zqBrkNI<=F_j$!vP-w(mh5AeNTnhUMgdfzo*KY!+MH==Rg0)Sb$0J_6!28rvX5*ma{ z5@baLy!&BpRy%qN_0lRfxYrB;kCzq43NxeGpTu=4J{bcGxpY)y%SrIu>d^cq` zmF3skZ9cu`mg|AMj_)%?H`Y2|$Rw@p5Yp)wtDN_!Oq4Cg6bgQa z-HTq?Rh9Xwj^fN(uci8Ff4e7TRL)P`dA#xuiFJn#@<(6q^LaCTS}AD!(GQF= zrFgMjMf9QV;)LgJgjnduH*bFD%OEPcP=Y1*+AsP#9Ev8Ev$F_7v%7U!;7hKqrgpuq z`0@eoL96?doRaGao@%lYs{5zIp#z0RF^V*JW8NN%ME7}L;isHBVBB0Bfa-V|sOR43 z`MrDs+vmQf6_p!|P!2N@E{&vm($1Pj1(~pNIM&MEKTi3JN`=<39Kw&ti=pZ5I^MsO z3=~A&`M-VUm-CPRBHj@YJiosDk8UR(#+|>PL6GByr+@qBfBn#sFMMzD^xL<~oUq+C zp~Sl{9sYi*R;h*T{965G;@x_#zq(%Vz5o75|IO*${;e^b=fWW5@X$ zh;_VF2y#?%&-om=%4{B4(FNvpnbE@Jz|{a*an9hog88OO(TZ8?3f(=%u69Pe#YMcg zUHLMP6gB^Nph|k5m6<5kX*Ch#@}XZFk2W!^owY9V^ZwF5h>#r;bp3btsGY-DrtW41 zecmawO=mk2CacQ?1U5fSNGEI`s5~`Mfb#iHp?Z&8WwM=>^;zm$@_?L`JPVB@V4>qF%S)OU|Y(a3QLxI(jGh zqit-A7YhmSjheZMwo1AljeecIn{YjM%!i$|Qnx>_bf8SmUupAUg=6FX`=yi^tP!80_WqRIqRvS}Mo#eFJVmBF&7?MC2%x)aB zam?lUyuUeIrCf^fsUG*0c|yUq@0(+C@%`b5CO+=T;hfpuX$zSpTnc)7->2d~eooqs znVIZt7@6p3ohe%RW6XngWUWIix$)v+W_FgPYqU1`Ce|(`1GR>T!)(gN>W=j9YvZ*F zmi5i*JSNVOQYOu7-h{_bd{UHe*I72+JvzB(QavE`(`H_KSULu`5A|q@(l0+TN;cC% z+&xXH&UEE_Pi?8AHkT%WpeB#S@50{(h>j!Z0hx9yqd}`|Cyp~K$1>+v%ikU#g%vYM z4B*_iillu$?Ozdv@n zATn`ROno6BEyrqiXteU_+reqyW(Yl*PxK`Twz8<&Ag3i7G75@`s^kRmQ}QqyBbiUl z5!?~2TN72oD;d>NPfuxi>RPjwS$Uh4qkjBhdR3ExoN_we@kK;AQTDmXbcuhQ(4X-% z5iwK$IyPO)RIx!`|58Jf0DCU?^Ub@d{C;LuoJ|@FJk;C zp;%xzZ6vjSm4GX3=N#_yS&rZz1jT3Z+6f4!xh$$HC-E}L5pgmvigVngF%&c?73GyI ziIyzSrw*#uO<(sC>$OC3#PSB-kR^k0$LN31<3|JtGL?7O88?(be>q{zy$j>H8pOvg)`NJBu4L zj(j~!=%cbMI$(VY-Hui0dAZe235js0?)9DxDf%0=$5=VP9;lw6CL~dsvFXhQ zJmwR@r}}eNhD52PVL+-msKs~DY!Pg^l9*WgZOEYhWjIhQlpahVCbMRqMh8=PX?C`c zzam-)?Z~FPu|Rp7wWE9RDN-nGnLy%R!+`lnH2{T!94___nh_$+a4#w~+~rtv^cty= zLsrStJMK8QmTZz*I=2{AcI$>gN0PU5{en}X zB(X2;qHhbcgu7;4Uh(|hZ1|8BzvK9+a7Y>b5~n*}4h)S+cmGkY_+020_rP_;hh&ov z>!T{e3>!uTnTJSrv%YEctODgXUnnBF8M`~y{VC}XEAOf2%SXy_yf>>s^drcVpLS97mMwS!9uj)JlvrDNPnN zMJEUgqs*M&WLj8$Z(#aUw4+^I96gMPL3n?Cf^qz=e6+jAX&1SA_P>5khumMOqq~q! zW)$vCjt%()79t~jH)KK2ofKewe1GcWCeHx8zSOm^?zE7|7V26eUAHR{q0Uyc9gLr zQuSxkdgcJ9&-s}PiA^G7vnxNc(`=mLe0FIbW)z=Ht4s21nFyT&Yb8%A&8koo2qF3yERbPWqnURNx(N%TH~B)oOci(ljC1EZ@oV_bHihb(&78_ zA_QfnlKE%qEB1zA_mYQ9>cijj-L*a6$RPI{KJ7TV=pkAE&|J-1sk2kG-ZU!ni7A1b zxg~GXv=IU6sa8)_hWWm|Gg-UwbH{#UJFDSC@0GmfxMOYZ6xDVqqsVlPyp$(DIP+999OuPH`j}$EU)DNY zxP}d1ZxsLm@^R&_6(=*!Dcy_IA-r|Zj#z`$;(GZ0=<$;m!+w4FI^H(Nh* zx%xQ&06|eTGxPEZDDSJ9U7EJff{BG5KS(ME?Z)FG{7Z-Nj|<|F{z029U$zAxQRbPc;|(@2!R~{Q3X+)EW%^}X6-Q4+ zX)z2#D@B{>Fu7A z7n%chwVM|43vtCK*2_(qWv@-u2~$+>xRR}Joo_b{zD`J-&pgZtlP`IIo42V^cd!}u z~HL7_o*Ss5`b{NB2QBDJk`rhcym!+ianh}x$&iMeQGm0Z3| zlkNoK>p{GQC3Z(*I<-wf%a#%n1d*z}KGRL>1$EA$t6QZ{Tt*LQlC5pwrOhQvtq*c?444J+6C|yUh!LfuN6LH&o^}5iy?EF) z>B=YGEDyB8vEt`591%-y1`buI3;COVV^+s+o&V{^>Y!%2q7F1RZ+MDKx4rB4mG16w z(s6%8T2hCjv&B|x>Iu%hd+mmtwkOtHX(*q6BHb(%pvPfMJ0~$>6&%J{qr~*(S8TFH zZz9F5Fz}vIigfiC?xV&$uTFas_t;~Frc%0Am^NY&r%ivT_DC~OE}$vtKJ+%pu91@O zR=wWncjMqvy73kXS=_;IWrPJJYte{MP?Hz zRn*-^Id#lVVY+FMKD_10APeWhVu5)B^hu4>3S;$eME zg@{wsgX+Z-on1g_sJwiXRM~ua>OQjW!M)cQ+HR~%JP}h^*m<1xVmpC%N8Eq+O49Vy zeboh5q}7yjilDkz+MjEFCSOxMI0SXJi&>1b!JT~0g*;&mTYZ}XB8lrwfw#$}~plccfe-V>L8`}V8gqaL@+dr2`! zURfFwu53)ozd0>QS@q(Rc!J*-ZkucUx*Xczf6l05ICdN(DEOT-4vR*6viRe4R>qoe zY})W==Vmk-!vihIEWQQ{NOdz~8M3c)xV(;X98jkUyZLbQhYE>I--j?SWaGPGs(^I) zy#_o{a@FGZ8(Zv=v87q5QF|*+I0?lDFL#T!A2z93r7=_WMk4k+)+Z;@Rj(zG(VLmA z{nWA-Re>Yi-Dog0)DU#vBxUt*tS49?V=W0~^6GJ$&Pa@B;_Ot$+7PNFP4%{mnHhav zvG2})>n^&%?6Lyd=r4!e=z@mQSSk)C)`R2h5M1WAWn|>L-Y*oW@2j<&$6hia@mu>; zKSYXToOa_9eG^7xBY-4L_{Xd{0z-|MovA&;#cZ+Pz;~R&)cebzQ+A?C>6NYUyC*v9 z0x{tqmyuz)VYX%)q133vgjwOp6`akDsg@+Kohv5 zsLaD-)W3+1`NDUhNF40ch+rF?dtW@B8KPP z1BPQd&E>TiR0jC%OwN^hjVWx*Y$%4gUI`)@ho;$@*PlZYF59=R4uZ(+!{eFdvlax5 zCf<}0k*r-TSUH|B&(xl-N=EMZ>4wF!;cJBMGqF2}N?4jK7XHfR3iDuZp(S<*(&ila z;#}gUbNZz%hT?T&=Eyd`t|58c4$&07#1o-DLuKXeaSM*xHxxL9UDd5UWWxjhQZX9b z+2M88mg%VCSNf57INL+Zx z)poBkeaF%6si9*|3CWD$z|HTp!&0I9OA`0?Hm>*t%Vm(+-oNdC$V^Z!i^39h{7%to zYt+&yDeR<`x7>BRn$}x!ICEB4)$O8LbaX~}SAm9P(s44~;0+_Ekb&MuV`9SJxuPuN z$`6^Hw|I)0Qop>VniZLS&b@jd$aB9tRuvgDZMolr*FQC7()x755}hni(6N?baL`OM z$aF|IFp%2+@z76qv9lyXt4;A6@$P6bK8k@!W=uOS#w2O$^%B$_;u979oCXTyt#p?v zRadlfA|Jwcj$H-@Rr)b`u)OVfHpbti|lnWPi!8&{>9#JaOfU2I<3xPLE7dAGB} zYuZ$SKOBBjo1lEi`axrCUb^-g=vy5=6C>p^;WKNczqU4N zt+(uy#*nr-z4l_JL0Ua5vJ%EzlTmkT9RFAI@OmyhBz1IklSsFX3VFS$Anc6z-F8wA zlXGcd@Aqrmi7t&YU3qld*0VJMf*or+4AWOQ9*b+W3qc#B3QRqZxE-_t?@Br! z)shshZts69;rYr%w#V@yEg@;x{EtzQ%R*c+so;zAndU!hPOV&_T3d%1F8iz**>r|<=v%zCyYfR(EE7*PolMiQkAH(uD}CP$v&YTtV z(!)fHVkukReVA#DuT#*NZpt>~ka!dFC;BvJ=hQ60n#U7Q2t|wBKlmY*8zJ3x{i5M0 z5%a|JUYW4pE~R=JtM)w;j4lj6R@56k<2r~($V=r72J*ep6Zz{}uSKJ0EgIcjx9ERSw(R0vky9jd}47}B(tSj|2bC#;+-Vlke?`mH?h*})V z(~ZS{6xTN9;&LtCtL;#w;9+KX&Dvrpi)qT8zsNNxGcHF(sln4`;L@$9ei2>Z+gPNY zVysSJLOgqOoWU=VX1no^?m3^hw`qHK!Tu|A@;Z65In!q9Oxfpq>m`*DuXm>=Yyxn! zT*I+iK_j#v9E-K z^QLp5N%M2bS;nzmsaOU*-TZA+o>9p8*xIyZFj&S%WvB9n_5KYjMhsOfK_*-j5hHU_ zVZBHi{^erfQp?^jf?*rWE0gds_g@pu3xY@<-)Bk6$a1Ba$nZ8`-)rkDk!@Q)VHRZ2 zrXrXTe3UkjmlTDqJn>;|q+iteXx~_ziZz2SHDzIjSpC9|lXEyPvr9MTl*l)@hP&Wu zIBVKB%cIgoefz4LnZmBxFQ9{9LovTsn!D(tyMokQotIThecpF z+8^f4V8@VmQWhnFXv1#^W``8lhS!>uXO`c*NvsX|GWCy?TbM9a>N%&^K!OU0Vhs1l zgw&`C@tko*(I_!AP9mu9GzOocsG3i1h9PIZIr5(013jMrXe%&^M%a6=4a$hC&cCc4*BM+KuImHtEvxNQxSavkW_^vO7Z}?Z=1FCSQ-yq@1I)B? z@0KF;5M)JFDY5!Q5k)()s|$&}Ls5bmv3@@~c;;p|ZaZ|bCE`3;S-MY#asQL~e_{bD zgG~hUa<DiQLD<{g55hc}SGpy|h;zS3F zi=&$Df*2_3a`WgDZ6d#m&*~g=L=6KXWl>SE3Me|+t6#Mfot^?)h!y&Z!>80tb z(THk-hgq>DI4t*MC&EANE2%4su5NbmYZ_k-6o(q!_c9uP6vM9b_zI^|Pghxm*HO(u zw&u8J!$^F;MvySPj;%c_j z({lBWV0dqh>%;eqitL3SxmLkDGXgo2A0l&azK6J|Ni-qzET;F#VL9on1chOS`HhoA zQZlNU^eAe`$m44!-V-t!$-I`uUHGxkiXn?CAg?>n@#QEj89Qr($3~}hfTQVaRLJ@; z@dcOh&lv5RiKy-HDf-EvLf%~4NEeoNg{2T-A#9OwJXWa!xgS5(bySYIeC>;kWj}AM zCF%+KhsLIFj#4QFXm}l(S~^b$Vm2}OadlM;S#+qinO9*U3%A&uTaK;;(9$fQr`O%b z{J&^>%iu_wU`bHYh?z&sjH3~aSQ;_2G-4VtGcz+YV~d%YnVFfH8MeRg?c3Y4dwX|w zU{*h>y3DFF(>lu{JUrYdG@A;W0^h+>4R~~CQW_+U?>UL&7i(q!2}w}0(c$32N-C}&ky)A{KK_~`>Ru zl)W4nLq3xNDUK33bnR3o~KIW)PfuBZsEQQs88*#iIVSX zVxEE<8LB0PM-;^3vJ~;^=0czNfvD2&+fe-(vrqGS;=a&s{P2y@*AC(6EQa0*f_Ar7JX;Z>dNrvum-u zc=a|ThfyGRuRAa-Z2Gatn60J}STOg9baH=eJu2Sl7P~%n7mPEUnzzIy2+*wLGn}Y4 znr$eTu+u7&k6uZ48~()P(O6V2Gp(w{p?lbwehhBx7)%xcZCA%!;Ols!BK|u=mWg>M zp#S>tTtFxQ$lAmy+%jx)_>tPK6h;*^rijV6?##m3>Jl<^8CL)eH^APm6^*n~(>Zjs z6|!%p*8Fh0cIEvd?!*`#R-{Xn?i!`G!y)oGf;}WkSbtYBMZ7Fhv~b5h?ghlNxUcLfDaA5hwRi}eq z+iZ`Kg#lb$uK{6gD#hz8zA&LdoY_1B$IO^v6|e`@DNy-=g52kdh$UDe$6yMtIg26| zQO2v$a|pk0(dy8Gf}NN`dJ$`&%t);X2k?hV?-xQlcfyqDxmPM>2U2+LoE?n^7;MSj zY^CdcWrJ$`Us4n-JrNH(UO}7FHcol@wkh&a5!3=rUI*fm{iMm+pG+#APv?mi@6d^M zH~pFI)~&ZIMg*NjO>EX)an8r zhX+w>2r;z$?90SZE#4XnBOkIrORCP9dG|%IX-H8 zFJ}wGIBFv-(22vb+bqLk!+uKWRx00_`uXQ}6vY_D@+#FuN09+orE`hZs4iXbKmlpFe$8T4SjuJHL!cB%nKDG97FBo2Pd25-;@_{TXV%zTEtYdmQ;xEmQq)*ARhLQ4Wmh;XRdm2Nm{)LpxZY z0%Eh3mK<@bvqPV6p^n~F&jVRnOu&aE3ad+5-ERzq2F`LD2861rTDvO^4Q&J*ao_D` zuCepB{TNf8FkMZhMcHWB%N9*ur-J^SadSMK+C+hX>(Nl{=aE+rrD1GE4Nb6JDUN!+ z+WASLx@7H{CMgNGUH4XLqotl&r?#-}QJ#Iic|#XXQJfLH_Sjx~XH_C1VdGO1F{m5KAgLfo})To}%q!DT17o)i1Re&b)N2xz2kQx)-~Npec# zTd`+p6hA8}#n{Ip4&!6>oENdXE_F4O4@+k@!BCrPjheIWu+gW<}#u3M|gZ!DJL!(pAcy)Y7%^7ysR5Gu0!cMHDdHSo>u< zx2M@y3LBii<|1YydNTXwB$ynj(`2GDJxPbsw`j@3p&#Z6ku84eKJiDP+G7Cv3qlxt zM1i&birqMkP-npFK93g;6W**TsG>;kd_BKz?BmzUBX@95JpLE#*_wu=Xk>*7pwPK5 z#hN$Pa?x;y`(}3G<0CE{Ca%J2)vdoh#w@Xw-oE^mF|*Znr+mBP1%70v0S-ESO`bC+ zjYJIpikD%^_$f?mk}=Qm;w?DZjOHocb?e9{U1qIB@-B%UdsZ(uglNI6C0dQG9VVK{ ztGJaUU1;Y}u33*C@Wc_A5Ttbkp~&6YIuU;wl}j5`sm;k@qs$;3H`@BpDx)(m9Im@? zjXk|{`%ciwb+0*OnL00Fb*S{vmaTx#ENjdfqz{d#@qGS44kM_|XtKUF_)C&*B$s{Tf9sfb6Nqw_t7QVHL5M67`3a!fm1CO_M?e=RGqW6~!Np6V<8E@>VR| zALzn1$IeVrg7!KZ*?PLIfGs3-+ zazutkL*?iG)u?!$-`HKY+|?t)`aM6A4!Yqo>FGG*kNo)+dhIy1cJ)}VX; zDeq*V9!#Q*!&>C(#uE$G5@avi6^FOQ;CamjDJ)i{z}zJqpjqiwPhM*9g&yDnii@`} zR!G11_)0yO&rEG-NbXpN=?fHI7^gWeLLt}EXfoRkcL%3gIKDch&%IqwCBpwT*)A=>(-4e57!gkK$9ArK6i;;taqP^DbG8HRyw*PTRB3hH) zHdm2E5UBH(4iybeY^!^P`nzNDt5p!TO~namh3Ev36BVedC3 zS0K@I&#n*xr_aMw6{z3B_thq_E_cA~{kc9kcsSJ5bWwBBzY4NJqh3~s=8SYK-^yK+ zm#bX?n?{u4X7SsAg~4Ny$qe=8jcb)H;+bB4#=I?PKOie(_I-={I#ywE7y z#&zDCcVYFhL&%VLGL5DT*t@$2?^jn@akq8Y)KM}agwAb~7}@Vas82CJ4O$UP4^1n6 zoV96p4;!<_(pL4t^z!0m|G7h9iey~N%6XgZFeVv00>I-{g0&RLvocj^01?E@(q+-& zeOWU^M=3g7eDKE<;ujySIL&*l;t|AHW`UyPwCNG1)XH1sIyzO9aI&jn`wu~UetBX! zU%t4oy<_MhM#cf>pS-jk;P(NU0V016@g`}6-b6%{?{dGWk)gG7If2l8es zo*VJ$tp4^u_G3I72=bb#An7m?5`LW=+0nWzo6npe19F3zu}|)_U;n8G-*?H70ZZku zWk3VgZtI9i53Gm9VoSKb(uHe^W|SJb)`3%lz6w`(0T0(!U`?H{zzpLYSob#8`&nhN z;zF8QxvmYXa|5W0kE6PKJ#611t^oo0LIDzbLHG|sL9Ec}o%{X}VgMtxb zpLV-z3*WAapiLF>E01zu1lJ>*XXVBH2gzURry{vu>6kPME`Hd!$u6LcHEzia(~wDZ z3{An=RtzQ~-k5n88;M;&Y21ex!1nyi}0 z=8qQ($Fp-klSN%U@<$&1a=JS{EFXVc`(E+u^QY?XVzuXpG|uH2A8BN%%RT(N@0Z>g zfc~WhlZ&ECAsX*H&oBeho7z2%AvzB@hsP-fwNb&x}SvSnvJK^9kRmc8XY^^3p=0`7XL*RDKICl zsywUfb2k_)tSIq5BPdArk%h{w<$qtn5vWTJPrC5R)Ir`Pb;+0hYS=68;*R3N*ZE#d zIe|oDrLo0(1(lJ$rjS%wB?jD%1nC@y$8^RRCz6~G)79H>6;D+cng|ndK*GZBe;5#n zym(xx zU3v$fEvLQ4v~TdIe7O_jj$9NAy2csVn+7*B&PUTCv+nXYkv!kE7OlCo<5k~puJ;A@ zlG6#YE{m0%#3-1}td0dLPH>~SPQ-T+qX=1CMK3PCtws?NdRpt>-1F=iW(#<)vOAt) zqziL>U%m;PNe_xnQ?`6N1?hVahoiug!|6J3&=8E;{XMsDeAubEbdPc> z=^++c302c{j2o`n9-A{YHV!^lLR7OIZ!3aTj-lVSEpG0Jr^qT{rrj+F&#k3m7acc7 z6LwAxE}y_|zX_>Ap}lx7_d-)mzreMAvpDPJS{y?xuiZsa($>expURt)saPgCue}OL zMhr(OqCB`^g|{&JB9}RTDY{}%VCz83kzDil8_jux-*+Bd41I1Niq#hs8n#>)sxBn7(N-mJ-#vtLlp6iX= zTdDLt_B_1M`6)FxRnN`ap3WCRCKD~UKGM_Kqbl;sf>Jta`oEh2d4Agq=hJQUM}r4P zyNtnq?JBdIO>ySC0twQI5++t(*gqX!)Zf|Bc1r^8VyiA%pK9h}2+ICDuzU1l0EuyP z=HY5?RSsvY_>TjuMegeb`z}s8cE8Rt;R8uU%C;FUcBwM=X4puJ?XAj$Rerl!X$*Le z{L-O)aWfoXll6jqeL!wizHeb(!2qTAjWSZbbVSRn63)Bji?BnlZD9-eBb8YFwuvNNZbS?9>BQyT#jenz)+>X=GZVH$JuvZQza zzjePn5FVx&|IlIfOlKb@SJ&6GO5#raaf4ianX(%lAa+mzk{lP3d@~=D&S_DoOw(XG z#lOdAr4hHcwYPn>#x3oVDA%cgwf^7|wUFzeYmwl5-CEe-cnB7v<7;w0+V!FhKYhN( zWtyIQU+d8W?;9=(pI%8-TQ^&17-hX@Qaj;D3#z3mJg@M(kLZ1F%LO%-Y|IZB2q=ru zOLx?&>3sdvLg^zpT(G%d@-P9srj%0PtsjNB?M z@l2ae3=TKTbcD%d)0^=uXtP1XgKRqo{6p@i2`wxcn356)z|7VD2`n_oq4bK0>qCaD zCGwdRlU7|?QX~!q^CKD|G?@p~)zzB%#dwk=re&1m=4&ya>iD^16f9y6UT{0N$Yo$Kjp5mBxI=~|QR=w32C zFI-|X9OqMT{2NG4_rF~mG@*0dV}dUp{g=tEv%drqGLuLtShe0Wb{~Z`B{9&zNke!r zQAX+?EHy*Te#X1HewDc7vQ&p~v_EiP8FQV|sazD}KisZ^pYKA){1Ldc5GOPgA!r8L+#qB7<(!IyWX~NY57|8QP z&OadrO}H_;!^*Q`xDmv~I4Y1Vz8Fth)O=E(*~((Q5=V@W83wITk@S{g*q43{y&L=; z@$gTR)w7qt72-|H@7ZoWo9E&p8t@y#B-oNGRs->#TMW|o@8~FGz!FvGR)(pUhZ90J zC_cl~)lQq>l;e7mcttB+2BmguYnP54lR)i)v_^EwcLix-z{UOxjD7O`ed?6*65G=; zs&11O=178GKcVbIn)hjZ0ASFtZ2mrlsW26_#|evj<)*5-v!lUbe%Z`X-HkmW)^hx( z#h0qfXPlw`$KiK*vZ>moIM$AGH@Y-Z&GzzSRduGmMH5bs2R}rS|0?4O%y#4Oc>P=^ zAy+0ySM4*MEm*`6n#|&wTrC?qqDpVP zcWO_%cjg#jdw8hov?XTt>S^lW00HU3h#T6oZJDKD40=&u_z54Mtuy0BDd+e<;^`qZ zP>?T#n~D{nx?R;4M>Sh3$R`h{p7GZwV;jEu_RYgD4iMq)qr0!RFxdB^XAiFzrrv)$ zrdS$*v7r*NlEnO~r|^Y)mYg|>=u$dFX-Gf+}X%$A&GzFt#AkU+Y){$V*@ zk5O|>hS(-> zAEe2D!rM>i|CFlwe@w~zFUXy;MNmFl3h8})p<7#lKCJ&i)`W%qU+_V_!71#$w}Skm z557(vs90_qsG~q}^-I2%CLMYg876)+hJAh?D&-8*zQj6Nn_XF0u-=r;eV2xfMzUHq z)`1j6p1&K=uB^Kf|6B?Me-{2{Jp6_;H|by%r>wP2O-vVD_I@ro@HPWZC zH#tAzc7AF<9(@GV01h7?9qb&O>@I%TU0lGg`1X%9HOgGAO-`&77S_dUY&Tm*+mGP~ zxiz$FtwBWh2Y~6>$wWF}+x&l>Q@k{%~6G@6~$9Z4Ghyiz27xNM#K;;T2= zS?x@ZdMlYypw6c&do3;^SV%0lN_A=5CWWFg&|%MR7K)QkD207wuibN5zmb+|u$ zW)?s2Bt!*C@uu7sCVk=N&RNl2%o*6$h6cK|pb6fZd5XEzP7O)|ZE%+P{+O-}2eQL; zZAOoHw!4}nmqg#69w)cO&%(G<$apWC?5uD-S!Jde*%_TjD9$?B%*-v2_MvsCWOupl zt;U)*R0RZ`hvh^2p&!&)1X=v@{CI7^O>Tt1u*9po^-?2md)~=aEPn(=NDTR6jVnJ! z%~hPj^O_}_R_xj}40XpATIE89&GF-&vFugm%8!yZ zPXx9b^BL+JarFlvs}V2bBcYV)pRuGO7$WsTk0=A!d6us&J+{iHX}_d>m`rLFPum)o4+%17Wx zd!3VzC=$E#k_!FCTJ$QV(yYcsR~rRUu|w}cEYNAQ;xltK7G;OBA}HmCtMlnTNvpXaXwDd$ky21 zFA9@cUY+nhIk1OoZLs*e_qt>mXf_q_g`}cY$4PA+WeIfuS{sXxP4)X~W__0JJJfh~ zuv2-vX7H^Pq86COb|(GJ)y4&so8@Z6Zk1KH{!%Rr*#4+l>1f{oYM!q_%C3B=J6)g! z92@LsWD!g65!Y1VP?ZQ z-P(@NK3qKRe8}A~oy)Z<)ukwPIPV%=yFMdX)W9`{ylkw`G(;JUe$KarCx@-xpJ|FF zk}Y#i1V!FFJ6!j>hi#|0J|fmu5yNFBO5>%cACeWKCnq(rBWf2fj%@h>gVx=^z>oK} z7iSZ5ovGg5T7kL7JF777=4Vv$44t3NnHsc9N%X)utl#`;%&bSZWVN_EIq2hhbE$W* zxyPwLbuu~$6fn}%;m*;*RW%k}>V|RG_BxTu+RWJoA znQkV37!Jo*usxy$JXe8Bx4PwKk`C5mx0wowET{>!q&CBt!tJ7OW*^ z^UXKq8MQPQ)0b<+N_xEW3;Yg>?ASw`_$P;>eqC91XLi-9EPK+uzeDezbcVoL;SrLp zl^2%Dc16kta5ODNrMi;wzC43}If24iV|cGF7S0^o7m6owBi>y@-=R2!{wEi}oz6NX zdH+S9@km@%LROs9(E6&V zuRVVIZdQgqbP0FDWT!X5e5YQDvVJ<@Hg4K9{5ziBrJ+_Mx)9Jo0_Ip)_?nL&tYNj~ zRmqzz!^_^_KJ1V`-0=B|>RMt}CV=d)zIi)cz|H$2qWSC^J1PoKz1H!lQ+1~P2JkzNQws6bDzWW&(e_|Ve`lpK@M?dt7& z$I%mv6Q#^Vsv`4SbucPEqTRLPe)aUSn0eN$Q-vYFyA*c*A zO%~o1?cA)bP3$*3Fm%iU&5D?_rIIFIKLh>!;PHgu1{}c%x_KLhsB30>E6;=)+)|;k z9?)J_X9mjPZ=VJ>PMddVP*w4sDh`9Inv!DM*-_(Jj+<1s#|T`~wghDvl;JmXjb9%0 z^7h^v3G@fd(V9220^tmS2-yuKeJ|vm{j*P#+Mk2OkGFcvrg{4+&&AXpAGs5~(PHU{ zjrohG}0HkbIc!bmM*F?3M zoV3Q?g;;!+<{G7pn`P2-s_hRe&U(o;=-M96p4$<~q48}W zEG3m2k>5tXArZ>3#cX?XaP(Qf@TN=VZUjbd?^Aw?qEMF{kUz98lRC6^8PH|nG8vOj#C2D2@>Z>TIjIVxsMPAeYTPWGj~{) z#rad@d*WhKYO|?>tQNJLE8n{DPFXuz3;Mu%zc4~^ez@x&e z6UN;pkLSb>`=vn;A{v^qU+jIEma2=p4y=m7H}=NOj&b0{88_Rxn>4GD=^XV|K&^cN zb5#d5ynWN$nNuC9?|+}yXCe`Ilp?D*cbVsP|l z7p7#*mrIlu`Pp5;kz2k`6>3CiQ1y6oqUg-4j8dFX6!kL_NBKM_$@ArSAX&J~@{{2c1 z51wPtraz)JOPTJ{3XnH%7e|{wHeN||~ zj)=qH>YAFaY*E|XjZNx7slvwzuBuCdyw4rjU(o|5Yv$0QK&B5c3TC{OBy9+@#FMVG z4l4zre2Uomx1zjx4kAIm96rpvzF_voi`~E#PxwajD;Xc2YzscsHvInCJnDP6Ok<|I>D>rCRI74;eI6L zl^QH~%~3kIJKZW|Rci|^;0-=w$!$O|S#ojZ=bdM?uHY$6=+!$zo!Z-KJ>4+WoT7M5ArKC zVV=ZES-~BKOkL5vN}dFZpnw1>@tAc+X9b_xD+mTW$PMDAm#3YALfuVLA$sD>9H2`) ztSd>IfuBstalUx^i%x3E-sQ=dGCmv{E=C(R8((hWw% z6kAKVBG(d3P8mVj$&DJ9k=AgQl_k9%IyA0V|Iq)((wn0>nV2?f2UIYe5_et{ZT}Df zteqP1lDE=zMom&FOWlfX8zWwr7BhEgQTR~3t3c(vJ`4(ItZJO~uWzM!MSmXh@Ss5G zUF|%cV$V(v3a}8AjF^CumF~DC`2}KCTX>4{ii6h4$|!k)aCaNT; z3h)eVm6*9U%bK>OU8F0F4ny+@X8?CA%0eaS4g7M)*@A_D(16mn!Gc#XKaF=b*Ev5u zW;KA*i&>o7(d7OrBNmaMrSFNu$uNh@lcjX_B`QYrWrrdYep#3wn~IK*nrUEds99fE zNPTONgPJ%s=sYMthH}@Wye?K4vXJMIfP713o6tu^L7v=8J3JJB`RQZH*{Yx{mRyfW z0YY1`@p_l)@l}Pd@s@WliyeFUlznSnoW;jxNJ4GxuW&UPuz~fp;K%;0iE@!+EVb88 zl}=|*)KJdvd87lyhV~`)uzW`~9L)hjeUU!8n_7H^%8gr(CQCsu;8GIWGS9)y>e<~y zOV8V9RS@4Qg!zj7hH+XZH;*~%4(BF3X%7+I+h~~VVt%CJnhx{I7bd9nDqIw8Hg`$> z2$wY5I)}I6R{H)MR6|NT8$oD&tiVDgBZSj&n?Gd7fD!pC!Vd8gn|SnqPU=N|#p z*lvUs0TzqE6ec;uP9h;O2?YciDfs(g@+b|pzR+jriy~S?(*QxeLJ{a^-+@0V4jUz{ zq@?*79Jh9Yj*y~4f`A4LhCB?R**hsrilJ;&-RO|R3Eg9-d@xv#2{b=4I`LV$DF_jj zUyP0hEl7^gPRBT|HEzXMXHpUwv7w3a{st-Kje_lIr@~1Tj!OLeZB&PB*)yTYNmB(m zvXH!5`A-W-LZ7MfNfG2#OANgr2yF3}E)8csU zB4nxDgjU|QK@q=o&fu2pkS=8A16;PToiA~NUwHZGIMqVK!a#A7r|MTC)W?}$Vu$my zKsW~i{afoYvywE=5XTT=*PY0AS)3DR&7x(#uofJ){No=Sw-xWaCI89M-C7EPwWB}N zpvd(VufLV&F(mKcU~(weBgz@*id8N(zMj2l(FTP$7MhB`+Ui57%L;rzYwu4>M2mPO zSx%h_Q>AtGSS`Y`pJ4D!gBH6H%sopwQ5-|BM^h8Ya*F&w)RZ;H6VGU5+qZC8t~%|{ zqYjGfu(q|+OdZeNkA5q2IVSviV}f!PSM47}b~seudH$-iFl{LJWXUf2Exl z`_zu3%F(QN~qjcbtUW z@;~ujA&KZr6egi;vkDI^kWGyDWqJ`G4&x@-ID%-u9N5DU#*|MHh6f1xz#|wKIN~Jt zQJTa3tfei9{Nd`U_^n0Vi57`BzK~jU(n#?t!`Pd1p4v2 zLS>!Bhsa;nG8N&Mv%VG=Owqhx&AJ=4IK{gi1rcArJR3(6`OMU0x9=urJ)8~F4dC7I zcpZAmzHWzD zjP4F}Ocjy#+9|PZ!LtpXH-sx7&|wPBnN;;p^-179!yT=z4?EvUwv?p=Sn;@lzIoMO z!VsX>w?poT9hV1IThAD3WN(sYO2;sPC-HRHKDwRWvGUqq#}1a86VGE16de(!8KMA& z5jR&{_WG#McXI&qIa?-|^63(_^HUi9g(D-^+jW}aq`pvNyMYyaXOxN>FWlEWymDPp`$o#vb!$T3R4o(+e z?&H{)v6>X(14_@Q$H#pIY+vOo6+i2JL+Ms~v3qY9+u38{z!lJ2G%S4n|1B>K^?T`TZ?Wk|QS`$W>nw^#xs8t>09^i$vSg#DB zFbaQpLsC2TsNv${3T6`Ar?hvgBCjvA5H!5lM2U!{hsY2zNP8=Urncr~Q^R z^Ybr$$i`saQa~jN`m}F95=FS;Dea2OD8Yh1?czIwU&v?^9Hz zkv|39&<*ssoqGQsehw#?CxpOUS8it zF@&^V`_K^@^TJ@{>B{JyeQ}VrkkDsb;H1jIFX@`#uUA&VK)3{OZ%c#}=gI^!dDnbm zG-pfOLIRAT6>RY`KjU^<(t#5yl9IJ0=eI+Ui&9$oCeG)K(sZ!gm|Yz8=T#UU*-$+! z3I>4XC0e6XWrg}$DI>5*$E7k55Zp>wNrIAQSG6-E|EW#|Qt{;howv_4@OYq~ec`HX z@q5LMQ@L%I@G+a7puJgVBmNUzQ(ogvE1=_s69)k;Ug^Ywi-X&v00pEz3k|FQQN~71 zPDP7$bA{P%0~#NF4vTBbtjBI^$E0U|N+h|jYpWOs#^Ju#8Y1op7eDzkDv z*)OTEUiG@NP(vlK<05EtOQrZo!W?vv9Lak z7RtC>mL4)rK|iH@WcWI!Qi<3k<1ylsS#_08lWAO5KrM}8VPLZFea~64q%%2tvC+nE zB#DAK6!{)X01F;6QwD)9ZtIYzq^qoSJNoJKMZ3$((##Cji*G)hmE9Dd7k~a4gS#SM zTb4V#j>gc`dYSpl9-bE;+{=5(qw(vMi2nlbZHMLxT7PFU22?!`D^%5+7vtxO@RFrJPN-J;o9|3q`Gs$c#Y`%lB`L;F9u7|%lU!c2ppD3i-k!|$@Eibio zd_&f2a=u;>5fM^*1I3QscP`w^R{pCT+j>9wB36a>8K1sJ{8KHq6x9U(N0c3CiZ?@+wXlOs8e~(rC zWqIHKI3+6H@WsdYzkTCV&SenMx~zKbT?apk5A5w?C$*C8!_snNaeeP|98~Nu^kxH) zVIJM($&aqB!K^Rmo$l+TxZ8=mJp~=NePYHngiwX^q4^X1!wVPy1BdhKO+MUgcSHY{ zO&DD6>bRqB^k(9`)6&GqP5cf9bO?=GM%meuq|&&%n<0+Pc`I-*^TZkIt+rIWXlth*+=&@j8R z5wvX+x_EOwIU!PU{Q`1zb@>-O9M8L77!t_)S~#T4R(3o2@RVVQw2nDogb68yteY;WjhN(U$EE@MPVWW`tjkM{yt-uCQjs(aQgXt$1NOJr0_wezMJJCp`( znLs|N!tLoRe*?C0a^$Ve(_{6OAy7yE`&_5jT1mB+e=_$n>zeU3|C;Z&^We!<+bU=% zpT8U0oc+A_ZrB*Gajx|Jo2Co?>u+3#bbRrOG0oj$8^#-+yddY%N4-OwYpd|}*vH&P z2dPgMdO7B(fE9)g7h{d>ZSA5CBdu~!pJY$lg=69msAaC!Xl*-UfZua7;FtUlc z1Ef1oP0l^>e#Ere)&l%18V-DN;ikOITDIlpZNXEaM4t#dpZsmiwO<*$(_x1AI;?TX zH2=yh7<$g-#FYcwja}jE34Se)7`u(n(J(D5`g*y;Lkg;h6`=qvIZ(f$wHI){v6DDUnbi5k(tju!4v+tG-2!7-GmhlE^I2E8Xm2SpBNlS zR`8A^3q9&bJk#6ZzMH;7WdMF(#Bc4iJBN?tbTD*M40%j0?0Lme6PuEjAJaXKEdzbX zAXp6#@XV$>y$*X+&Cj9)6Ess+rfgRx^g+e#>UO~@I+_4*VsRffg<4zP`GhNE;){nF znG03+Rnr>ng91ZvX#VAp6I{t^f-z)WacVu3Bdf`{8|6cUVr50VG_7@m8=OCgktoGC zD*`(rUm*sJ6@vE;$fO$aP+yXLUf)zqbgC{0A+{tDxG5L6n$uPHzZLnAg@yslwI(RD z^-w2BXT_v<(d%Z0!p;;WVj9+l^fw>WQ5k>X>0%@(g(=P$eLq02J&T*s-)vBiLvLT* z)&)9;FP%wbkU@}B=YD%*Xzrm97kK3T+T4rs%$3o0a=iq3s!)1mAsOcUH9Km32kd?c z9m}@H)jMc=<7p6oh;OL;W~@VpimsJndDL*iNON1Tec%?{)7zeFcl3zLwYF`aU81?S zuL+IK@?#$-acSX*!kM`#9nX_7I#SV<)}?78Kl!UMSs7d$Hq4sA{#c*;#lkRNPOfCW zA^oW}ScwK^l%U*^nXr*h5=%iI!r$3kkMQmjw5-yr6cZVoSZr! zITXcw_4Dt?SW(O8n=eA*7qqGA$skW`YbT68pr1^wNQL6sZp zf6|RHQh;ppO0?5m@KNTJ(LsVxln`yb=R()M51y>O<`*H!^?)E>ZC@-=Qj)Xces6C{ zllTSk>Kq3GGVQnyhBsex$hFDsKBTJ|(&kGB1|lsYp9J|op|!jU7wn$Dn~W(L7bf6y z%@7Sd;EVf0P1jbiF$|C98(CS4G1L$HDAZ~6L5ONMpwvdaUX-rU$_C`Hc|2d!3!cqS z4#0$dD~m?LN~58&<%>AS3xIYfK*67myxq2BfVddBC8<|wL#6T~dIp@S-o43U8H>>C_A0$b-yTPVM(84C*LW5y z^`g^JMzXm(Umz+&3Sq*-ZgARMB70K93m_}C_-kM6%>gbwN=f9XrST0{pK9~fdd%^y zIBDj`#Ii&zA3KKiwYb5`69UPry9z5^2nlscw~1?cpd3VRI}=z(&QzlPO_8)Pirgt! ze*HTCeMC;Xv5>|-u0BxYb)4z}0_m|%Z0z&-?(`UKfbDDNVV_bi|!$Mc%;4*fy!BeJd!dPLb z-g|G8haf6QZEHaS!05v=KZ#fuGkLyq1$*12xN?A6H+->LgQ-lsEJ*LKLnr?Zn(l?z!v;||FAb%S=pN5F?! ztxsglw~$sGfBK(CZA1>FhbX_&dJe?Q5Qaf?`nM;Oux*&o3?tJWYA%M zZZwvrjt8vD77};JDLb9id>kSouSLLlGc{zq_m43#TEGrHP2GXgiB79CTkbNG>I~ z(N9VZCLW}<7m`@5r_^MTmHzz1_w!sIaiWYzWn8q{7 zGSy_6%q65W$nNE=cQq);C#Tq_q@Ys5Qn20EBSLZO$tN*DbwMNPC`zFk3v7kBvf5v2LiBB=#g7HKk8AoIuidbesKF zYN9+ikvnE+O3EV#?uP&50zgJ+@ak%sTuw+c8wZJJZe7i}IlcGy9c)FOZ%K{UKm78G z=tDU|ABu#4G2hL6f;eVxEAEU}lx~VoNG?oF{9(&KAqeK9nxG20Kp4dY-az|r&VYRH zZ(>Anc@M`Vx>u^YfRzvKV`F_?^mjTbA5 zn!r@1)T-u?v#7V=)oMpyaVcO1BkBBhi#7vbE{X zQdU1tI&108z9(uSUvUKjrKyOGJ@H7I&%fz`Kv@A^SH{};i=~ijj(heKRDRW=0$lEO zTHdZ%+<$^x^=7Cb?e{&C->TePI83~bAVWu~hcP|Ji%GiTaVpGEV+W5p-ORGJ+ff;4 zNye_SWnM_QdDTA1Nu%jC;R`KH@@RYXn*MlFz<%!Rww%Vkp~~V#^VK?5`dihNphzvv zl%36awh<)nDbao^pI73Z5>$#{5rxI8(!Gs&O^kBTs;+UXx1Oq--fcqUS2Z!e-9PqQ z&|J8-s5at{)!}kht2qa82Kr`Zj&6|N5EeTt?iof$kuMrsGy8SP;Jf`MC(w2?K8md; zU}!8gp@qoDj(d19h_z`9$knqbm)Wy>-j6mK+A=Z!>;3v`ot;Y%Nn#=d9w9PCWUWqj zs_n34%}j=sa>hMGdGq9(vt)6I{ZHA1MyM>+Y$VS+6RDG7yTgcNKvU$;$Vur0!rDTcoGQ-{L@O&}xIH@dOPi z?i&D7N1NOJn8y)=8pcw?U3B7TekkNU=b$b1Y*C7^y#@@*!Lh42{*L|tQaUT4UiZFR zQ9`Be(fZmcdRe=}>Z6}{%v=mTezrQRRj;9`yx_sFB3`8&%d!bOK54E2pKtbZ2T&v+ z%IdjjSr!q3XV6v-DM}Ur=8Ok@zUsIdrOdRGdl_6N7ErWq?&6Tpg$c`FW{o`98VOws zqkh0*lVAC?YG6;NUL+DD5iZJwLo`8h>&S{~gww45XL%K5OR%(7fA{tAlC8wGmz<{x zY4T6DIy_ln{|~kJ*d1amrkJ-TS0OQTGYrPN(?-#VpjoW2SC#zaiq!SDHGLu_=l!CI z^Mx~yiQLuc64OuqTbItNN0bef_C^XH6x}s>{~2d2ri`Wr#T*9w#b(O zIIMO+lr-CPwlB#Ag(`mL{TD!(C&~%2HJ2C@@3f(wIIC>$uzO!C%KTMO2m{u{-mnKU zv-^-DCIz{8KJ`;pN52j(ME7}c?cP;AYb~E6p4^Aaou8sQF^pit5A^5CGF(va{En9}~JtoIMvfP5c~GCm%GL++_XZhOiW z4Pqs(7g!KP@nG}=`2XC3)O>~b7nHy%SM09sz8;>DY3uK2`t8G9PcM3*$tm`#8Vu)0 zbS&CksPkoNBZBb{Zjs{z_dj3_;3e?z!UZBL|Go}fK(6iEzxnt-F9&bn`hR)DJC)!S zG`kc19SA`EJ00A!ocxVwFF#eY_0*(*3 zjB!s3Kd#@n&X8Y#Bl~9^F3>an&vBg`!a*6tOZE$v_;>c`k+vF}?PgL}aFeB9CpU2K znVFhe!NNTIVVeQN;kedlNu%FDWW#TOWCN+`pgmM!_IwJrUmQR+9LoA9mgi^#N~r%v z**nKq+H_rm=}yP$bZlE4+qSKaZ95&?wvCQ$+s=t?8*}=;-{+fmelzo-{<=<8or{HC zwbowy5rJdqMHPnkTj;m!e=h8e&U<-qQKF5Ob*Ov;Dc&ICHAJn;J`eJ`kZZ1c_4Z03 ztc~L_O0jaley%uLdeDP%K%3$gsf`K-aUXCyR zceBik2SGBatDmtJ=rJUe8ySF>*S(1)w*^lHsh*tZ+Y~b-h*QRsN2k`G_;$tB_NRvf zlG**Vx|m}a4(^*`6EFU8%$G71+73tjJP3&=KTTia*e73hCLW2XHnY^~*hmeoIs-5U z;gZG9i^H*0FQwl5Nij53c2Q~W7?T7*wv2V7Lf0K=!r}UnTRoYS9)IK0s?t;#Z%W_I(E zU2;5BoCOzw$2{n=gzl^hu;*8u%(ESKVQT1jTc=iq{^|Ls8!AklVs|@#xj$vC%HHH0 zYNhlZd~$j`4Sr{*Ym`m3t5|iO*&b`U+-P&MbBP%lnutHhdW&ez^ zV}-{$w38Z^x4-+4EM1x!YDTt!Tl{;t-q1Nlf7#6&3v?`Pj8Mdk?E!2CK; zBhTQP!gx>Rxuq&wU%$#z0lS0O+B`U#td}*zU2zm?9@@|&O1pD>Q_OETJe{k$yRZDl zviH`HGAkhWwt|H5oT=0=m@yk$126NbQ2?ZXqh(x!Yd`}9^lY!in+`j=b&?c48wP(T#v8~FdY!FI7s%5ht4hBaVIvNb#1I3oxKE~Fg2N(r% zjPI$G-I%F+qP5*i(Q>qjsXhTeMK;rYM9mQo!mo2$f(41s2e2}WbaNZSrYmuXU2Me>A-8SJ*h4MjSDDE99 z_4oy~Oo;+5dFhg1^GaBG_4sIF=)zF>3Q=SzR-SVxj&n^;UJfQe#1au}la-40*h;*C zZ*tsaV<$98LTNWD+sDCWuc};~nT^uo1gqB85rI9ROie(|fNT*rjN=v6DUt_mQS{7W zOGwMq^>|lMo<6jC^yypKGQeT5{n|^J{-l5?-z?w5h(yaUeGqOc1G1s2G*slt+-8L&CHj^_UDYq@cZ$@8a_bU$0Zl^LxYg;YYAxB&AE^tWD z5`VU({~UK6-0&?;{cW-YkE){Sx)?ZIvTTx(=Mo=8=6I)zx1F!Pp^?N)BO^knc~lbM zE}KoF*&U%LFWMn9`BMb?hf6;Z5kl1!J#rRq{Cq7oQq5iXW?YAhR$9dCF5W|AW`=p) z>G0m5s0guAl^I((sBA!u2|jT6|bX=aB1AemHGsrsevs<`^_$^2Jt- z`zFXv_f>J^WUSr0dxKYstSA(SZ`%2{OTpbq-Yj5H$wjNibAjrpd9g6R=l)}7K~@rz zXKDI*3?_kMZ&^E{~ly zp>ALO8nt;0HzK*QoOM6s0^=R;dHN2tkWJ{*)n> zd4s*V1UHpV={VcR=28dY`zo>GH7>KS^P%n*U8b?Qy)N`dD7yrKJlKEgB6R5wEDc|156|SLajgEhP6e2bmzN)AC+N14)nwOh-HybJ zz#w2@Lo-==i|+Aq{<+A#J_tZ30`I1}4HHjXJR~1EdBrlZqQGbcine0 zx+4Ykl0$+lyoM;55fjwueWm^a!ek`sv-eW-LrbB@JfN`_gzOuNY}8?**)d!5@E7B=4@!9PpRxpJfq8S%6SW0AlvPn$?<((KEKpg zMMcftvI=8PA~>FxPMV5o8<|P;s;BwYcIdo4%S=Om(>%V=qOqXrr2D;L+rwbr?_LtSx4Vu!LIqpnfgMd8 z!f2a|a$lv+RSc%WucsTtr7NtOI>(hVvmqr4t~M?WCAg`oLi08nG%`Y{*&$K;@X@mN z3PR%6;@*X@f>DU*h=UKB5!E62lyZc;b(O**dC}1@KjNMoC7L>6%_Rt)6$;P&KH&VR zQhu-P+>3?Ik-Was5n;q@ZmDAqRtt>P@NFP5Uyt)&99Zi%ncD#j*JA0;7QD1ciQcc5<(hCe}mLbLGtZ`WPhg( z_sg#Pa2`nP8N+<#?${~9N%0X1I2gD_8Kay$(pX7c7W}2U{*M3D!Z)C2Z=nz<-xbTV z!oU{A?gWb2JSLvo^GhPPbTmAeM6Nk(Hc|nu1TYC?^|yoqVyP3*l~T{!1dD zB{MX>f>Zp_@tsUV9)NGh?Lv3Ej@9I#QT3f~;jSUYMOMc%ZHj}=PEtByT~ zVUpg_CGTwLvcGlysjI@(E-HsUy_tDbjV|7F9WP2H$6wmi4)yWbfAT3v7KlBfci4=o z8J#lt%I#HD9qFSWR4GiL?lQHxgvUN6p4|#=HVe&Ak5@wO+gv#HlgJDiB(3$F%_fqJ zHOtNypN74q*SbAB_Zvt_M$6RqK#wKetCC9b-%+npK8z&SMIF;BwDsdU27~u8`8;uq zSd6(o{IdghtuPv+t3zYHzk#TLtgeBQ%O71l5?B!W`_80R61Tw3Qj*Th8;^z+)jT4B zBwjHuqdne@xH5cs^*KEqKsxKC_nrird|^llu4d_`Miyk^%mRv}B#+lEsHE>trFx}w z8KQUmwAdzKL|+G&axrtt9RXanB+{)el%H3>#p~~Ha-qc+azeeeiAzsa1{iGXuXPUx-yw2(ju46eX=KF+a%m4cB zdtk*SB%`>y#>S)b@;3h)sfnjn3=_Ppc1&#Qf@BMC~2gbEmcNa9a7vzquI+-jI6Un0_C zvOK7;GG?saxssRyVak$60g+i&UutJSpCgL#(HT#oZ(t)Mu zGD!&wd)$e~7Of_N$x5(BErt0|siF&j{r*#I36$na5G|6ilsz&nx~~u+yUngnr>er) zv7xz6me;kt@-5u=Q24viVk5Xhfq(hh+rq+XqF|tc;zF?njqyJUkd$r08!|+v=WGtV z$-iH1CLneWHeTLl^ZZh7+6RdEKnfMr?anht#jj*v;_9@yzO@Yusov3BqtI0t z1FE2O$F`Y=kcxQevpYsw2vvu0g=V#akW#cz>hOzne<*QfAAE&OM7SnB12pq(8ka)` z9JAjIx6?wVX-Z?c>{5Q{lH@rKuU0d`X>GnmIZe!^v3mT@-TU+(iIlG`);Exp`S`Ns z7bxL@o zJZ7-fu#wn@Dl%IBjrI656Htzof3uSRII1m5o}Uw$jPMu7Vfbjp2Z>csPNt+Y`oV_+ zqQt*%Q4H577l3~viB(o|=d>;=1!N@WWe9`#CTK}|t^h2qT~yHcrV)UU#Sz4Jkor}B zeCR3aRENf~pmWX_@)?lN5sj%xINfcdLh7%On()Nse?o{XsH5@qN5kwN=47cam+l(J zQF*eT0byCWM$8Q3=7zQ(fO7&E6|q5^+nD%dJq1SMR%yYdBewS98O9|v+2sbKmfzn5 zkh4=b?w*%?lNraLlF>p@o-BhFHkizDIU~U@X@)Tc62zp;KQ4$O(86{mKX@!JJNKt<(^W>llqrfPUPPsfANpCqGO6no-?69~)-?W2HRS zjg*#@Sa^n&C`>0U7@XdxhfoSP6i;Pj@i0nc<7r`IimZ9r`tiqe3#qzP@+F*kRk+|v zJd?ja{H}Wa^1e8<-j!}-MLOJ>kWsW`^BWU7=AxtRfCTV?ZMuB4;Fyuzg!|?8dwzB$ ztGtmv{EtIM2fJ69dH(COacnp4j;=N{Io2BZOeT9?V;J8*R3gYG-an2W6o)_vjrKZh zi<@k*xDKZSnzQE8+r<%#N*tXq*q@F9Ak4nXI`!l`uqJRnKu^JaCpiS`SsI)`e{PPC zYmS&HD9Ook1o>vw<|${y3}(!a_{A|GJ(hVOkXfSR6z|jK9GYM>mHI0=^y5}?(jUWy zJ$c_l9gfeI&4e#jV&5Rmv6c@5z4;VSnM(Ov^>CH9)u-x``jgjVJT;@gPSN413mnLV*SSN~Y znHt}+HeDQ!H#x5uZBbZx?5z#5_oFDy=UzN0{FXv?uzB~ugOJ&?ar+a)kOGw@8Hukf zqI`Kb9IJ77x`j|=zpi>u#Sy3iJs7AnEY(b$nPmi}HaEl%uYY$$2ZrL8P#fEeU2j{lGmSr36OWBc^;Nysu_Tjm;^uiyPBJbYW#% zG-*1#jHJ_RO~Wc^baX7i&{!E}j?Yo(I|NloJ4J&usH_KL6Y$}8a%PE3o&w(Jug@|DUim9b}> zj*zDU^EHRs+}I0U4wY|n)I=6zyc%GN8 zNkPRYvZ?c3$1s}1wZRaJLp+9!`$krGxYmN^@$dzEw;)>wT5PURu+A)nS?l6}8iEhy z@ZL`v_aK?cFjj=@$vvQZNhgj+(eU6v?F<*j$VeMb-CKm`mKqE={wPo9sQyB+r&SMt zaS0~U!!b9uLNhcPmKz&WCqW8%LuwTByWQDU=eq}MaI<`PhX$1s&2%dV=UCANZu2Bvf=jyjBJR)DT{oJQ~=?_1nN`PZlc8!5jWjanBdEBM9QD z+jW&tPIjHz4^%pr97JdsKjqXIFxR+3Ck9l9?6LMw}#)~H(i^`61 z=U9S)am0E*#W14#6ToTK+lFh8t$(}^$+mTx_mqg1jmG`Zc!z+WeJbCkN*macaY2RK z)RLP(nX7@(WR+oSFWRZMG`LSX!qBl;0pTZEpdqW!*b$*|xACKHt=wO|W;U*(TM;k^?Wu%gdD}Q^nj5rDu^O`>XY-46YN~)X4%<*Cj z=`%LFw9moDN;f%0M=mlXoDrEr11?hIn4gAN{!y(Z*L?SY!Wz*MTh9@<&d!5RlM34R zWcj{w1&58vU)g``;Yzd36mmhiAYEz$xzS~=EH*gh>o>&s%OiH5KH`(@FqM$@>H7CY zAzKzpj9rx=P@%zPC-wQ}NhXlhJN;D^i%^?LXDLUkAdFX;+N`FYA*1xh*Bh@nkFc-yPOUU0LQwTfyQ(;pZ-{=-WK@(k+b60a{d%y{Mhx zE(@rW9LZMt`Zl5Akpp?k#-VR*_M{cvu|TX16m|pTeVMla`&R8Dt>GCf9#^7e(l(P$ zgj0HWXD6d_^AbpaH!9wW9wuh~_z)3xHTP8*D%58DUDfj)fEHI(^xFm+Glo1!k6c@& zylp6BpZ{HX&G~scg49~0-2@P(H}n?{p6?^GZ)gI40qhOly$?FJxBlu6ilc-tv*P5n z&p@nvIBpr!pVXAv>VSMfBlrjL1V#|&L>(OPA;6@c9*QWt)W-9i2lXFiVEfr^w1?waV-vl4coPAv%JlXxAKu; zCO6;HO{)^VE(#2c)WK8O(~pB|*Yk@c5dKZu3(=`n#jYZLNJST&cH`yh=Vyz&r_oj6 zAzl{u#@~x(Piew3(pjs4z@dp5m)8G7Y#k_TO-u#53F@Q2yD6-4=t-G~kyB0055Pg} zHbF@yGRL%XbHe!6;P97yZt!EV?oq?v`Kz*%R{PYoYA{eP?Z`zbzSaEhWzBNHo00G> zjjqY>gFtA2#8qZBh~2vw5gZQkTS;xHWIw}WlFfjB&L+Ip%YF6(uNn}${gnNOU7oXv z2!uWxypGY%tbt_tf1ud;3m|9f^S<&A-{AyB;|71CLEP5+~$ z0na^rn5%#TF0IQjq^^s-RiS$5e97rVm!HumsO%00r}Hy6`Uf<~hu!0_?|U}A)DyI~ z(4^JwGcYES6&noMuE1RpXsJzjnQKTyQS5tyG7R=S(1#soq`lV4Bvo}iFm|=R@!{da z>D%qf0)hs-$|n=aN9FDt);IN~>e~vONMdh!p{u4fP}HSy&W4=F&$1a3S1-r833$EY z2X#pppK@G3Z`FS>?RO8%Ps61t>q$3kB>RMnme06+(pWF!nfgEPFQP?QFgLu&W|1Kh zN96-sXd7yrB$geMD`KMT0l$)zQl?~AkE>qzzeG^loxO+tRQ#n*-V?>FYHU^(p_9L}#c=aaTJwk8>oV@UmugvH0)c&kWQoZ%Xy zIWpjQUQB~J83Zs8T-$6C2uo`FrP{{aDc?EN2e+mbV>9S@EuKy)I=(CFwh=z(k->VP+;ZQ;r$q7HS}@); z!hf5`u1lIQntZq2ByTARSOEm+4KhA}OHIIXwK@M8Ut%KA3<^_mq;P!WuMF|;;U)&j zaxs?KVxNoLb{D5|=AGC-jPRr!_>Kzu^awBec_t9L6!;=NMX?r3~ zAuC4}bI$Jk%;005Y01UX**glSkt0~XN+k=wiH+zZP^$5p+TM9wWereiFK+@6un z8eqHiV8ZfS>|`Y(lXY!E?(3JofNOMR(a3s~&s9spKztK=o8z%9(%Jp?p9S%3m_kxG zUjC)W&F|a!6H~3|9UtA9TC@~J`s^IkhNfsxzQqF(5k=8WlkABZDsn237;F>jh?d1F zo=)$*Kz@5lInhltSlBpzMTOaoJK==44 z<#y;u2`4oV>IL~DGlH8N>x1R8*Rvps%gcN(Y9CK>O44g(jBGxXHjl{^*3N25(g^#x@pFau z$CWSqpPK*GgYn-ad&{I-szi4^ndKMnNr)a!tRpiGLuz=xe9R>{cH!8;EDW&W?HtG; z0IKm=0VzRZ#~RU5=+;FvP-VE4SRJO9pl!-5uw`z^NjK{rk3B-%B32iHM)3z$Gwcn` zvIE6a*d5*)_q$U}pn`zfaP>q(gaI2b#EoDyvmHQ2sa42mnfWBZsk17UE2BzZAMZQU z%192Jh38R+7Wh&{=z1Bq%Uw>@=v`Oj%^{LrZZfRu88oG^WyM6)0JejkVbf6&o z?l*-JYhdqP_X;2*?UaN{K{DZ}T-a^q<@dR6Cupjdhmk8Ro#i~0l438r)2oF;0`3au zpj>cQn>ZUqJRU0}!a=p@ejo|}&t?5XTTu0g^iGSNy>nFvoBIU17HnKkAuhI;jJnQm zI@*(Z8+CmoRA!0_W2#c=u(e7HGsFf&HYMC39>TcDJP7 z1fFTaQU5PE5TXpv5_&_O+iJ-S%?h0LQlkHEtD$yC1wH}Pmt30XfzbZ&x7&&SdW1he z(o*&X9_OIt_(|v#4&CY*fJaHqZ#kOf+vP9m6^B7(7#bOMdIHCE9nay<8kfy$r4ApE z?revPfd;xISh&IxF-(|3s>4nY5R%Gbj!@%Sq^d3Ofn%M*po{q4b`aE}$) z>ZI69q7Cd)`8sBB1#{_wq%G&8w>rwPhstAG8nN|bURt~59ujBWd}LzR76bFEa_{u0 zic5T9+e_<=pI$r`Q{XNQEE_OG8;`o!X6=2+s~vmIqx~Ttl}cAF<@8m%>gn3K?|bw@ z#KIFUQDqi#P*)bBC!BiG^15t@$Z`!qmH44+OKnPMBdY36ow6ob-z4vzi#Z1pE?af*} z!ejmMwF@FpkMfzzl!5(~SvE>9bPxGKuXR3cb#MV#@kXxj(H6TG70GJ(BF96eyu|Xh znPRG?cqpw#BgvX4#u?SkJxKbb+8}6{?F^DM2WoAH%(9s?0{3I@bpHOod~m6x9fc@b-- z5Yims)NpO|I+Ut1>%&OO>{WoJA%#fXyI&18KNrMgUz~B=M*O>`BwM2#=f8`Fl!2u_O8^S4K$?ltjU8_@6UQIO}I4Y za(ShWVm(EjB|3Ak{C+C3$CASVd2{@k2b5pViAAqmYnp7gV_m7%#xg#5hZwQqXsSk! z>qcRRPUI$`7ba<0w`{Ew_3XrH;Cz`37LbB1ehMwT5kZOlR@E(E;%N~VKI;*l)Sp=CoAupuAzjh2g_HxjBt;PS0wm|rHyfkcP)Gv75 z!hU0(N4`In4PEQ{)yQCh5=Ss@Y9DHcNaQh^QnvDsnpCGUy?}yo9bs}NhwZPK80O~R z9^C=ksF)Hmk}fsTmz-=?-4g7Imo>ZKE~-^NP@uvK9frQS$7d^cpQV!OEbun^Rm1my z*_xBS4xj^Yz=-1`PR+X|!f0&@_4p)(qI_|mHX^<7KBXXJqS@g-<*C<- z&>cSvS0~@f-k3X~mbh@>MwpO9o`u-;7#=!o*bC`w4s^46;K*Zk3Q3;% z;2wKeB2wGWjNkEw`8?NUd47L1%o|^V8c5=D*Q+WW?=pkg7Z1+jmL9X?S`C=WlgLsh z#&(Y=R6n5ORpjF*CwF4SKt-EtBXu`%c-m5SqwZepS(U|AomHYT!e*1BlYdc`QyTm1 zATm=WoAWt=T+Q+Sm6!)M7n+X4Cv6<=)k6g;cDq7rM!(>O%A<{#m3HhO6k#8#NdptH zbH8@`*Fs7iF4qDpGgsuJeoN4f|KU_|!)FNo+@FgO*CExFiJj<9tX~uRc)vi>n~UOs zy}s6FXj7(QZ=Dh<(1n6ujk~O~PNeF%D?}}b!5<(|)8$l4X`d^*mAO9@>Fn4g{?s&S zTK^O}GGNOeU6!`9wl;GkQ~6Dl{uo77aX?StLFRE2hxF}n@t$KN)y6^tJEwc&YNEsuj6eZQ$ zb7Kz)N1(UyZtti3ihrWD#qsVK#UHR}1_z1)Ezu!VMJ0uVCJYzXT(<@ds-$ECW0Pwr zAp~&(p}l?NoU}}Lw?=BZOv${YMD^Z+#6-2!Y(_C+%q4z96%kT@19e=|g%5dnWuM>? zTjWBH6q`u&B6*rWgqZLA->ZS~xH(@TdK9v;2;amG zZ7nyq03`A6-`E>Ew$>MNCiUKxCx1}9x@Sa;iPCx&6-Op|bJTr)t*vGJF1Qm!>s(k& zB-}+O9<}0ydT%#tLdb7F{ua7cL!UcVE=)mkiMR0@qbcHoKGuvt)To=};yC~MA<0&@ z)i;NhZ7+GOdLi_&w!Azfl?iVSt5sR(uJ=}FDE~u}cd(y_LY6weAu@mQeHiDl?nqsr zw_Qqye&FQ7G}eLZ?asqp15-UNHC2@2!TCJ(kIz`cR306Fu0(Cz+zo{gN>QgQRnZjj zpjmnG2qguoTnoh|gD~BVdf7Q=34^3$z(R5Pwk3^pY17n>FcF^6OW~Z$7#Zt=@MuAo zw#;~%e>CTVL&^2Ck{WQr61tfoNw4cbmBr$9ktk0I)Wk(maQrotGy#-LEnn>UMwy-6 zXK64Unl&kOz}4y+O~%1foNUn4@4ubQn>=eqGrEVWun^s6YIL}M^H8OYAY2$cyc4k( zp$}aXQQ=XP$z!WpFFz8jIAr6)XcE1$G9$Co8wE;tdt~)(C6(Q%0+-fVxY#92yvTv* z$>7_4m9o|7PXN zs=S+v?B+R8Wvx>ik&|@_&rr_br~k^#i1@`#Rmr#3D9DX>?N{9s&b4V2?Hlu@UQmTE z;eLLo5&9Q8e_oljp_J*FtTLUl&mvtD1o4Fqy4LaR1P4ZR4%fcagDd@QTMo<65kNDTPYX@?$( zuGmqD*&m|-8f-^e6>M-tN6d}a=O3FmX3xUJL#|50{TFu(t}07*Jw&QBSOC_7Zw6-f zxOMK9Xi!S_-nX@NmjU{WubCCgSgQA{_WEf$8*}eehZ9n0A$9#E3$WU#Hs~|QZIZi) zd0`vba4U}2+Q#&P0s;!^OZM|cP^b)$f)7Z=+&UZ<%hJNasPTZp={kDrlDf*tNfo5(aE5m=6*q zPddcXdb-)J4xXxuDM&;Rlylln_QRupK0T;&X74c+5T{B-&FIc?X>8>+z3Bdt8XRZQ z#OCUat|Xs`0fv}7QTRM@uaUW+jVSQ~sHpoezC$Qhktjc8KT?Mfzc<2Jkp&Trnbldp z(CEy0U49Km^?CL#3M(N@fP?nnVdI*o!HuSwz zeNUD*wO}2dvz2`|kEI;=#pVoD!YM~{JKu#N2On~Nh+E7Hbh$&c4<}tCBgDLl z{ebg|jRi~bMi~`vv;xeErh}CStv-V-y_qt1TMbMRyNV}EmMP9`iIYQ9wZ9#P2ax?Cctw!oe2 zBk@bLL%8T!4P>so@Y-)OiTfSwKL`NCeg;i7@x=u@cjU`l68c!;QZ?eI@e&JFA zb|NO|kHnL;Bd##@)C^1VqVGA8v>fj zL0K_@dWPP{Dyd;F$qlz4Z!N!0&_FQR}lC+<^A z`2+?{M~Bn+;vSp#{DcB(QB?pw;a4EMwN6HbhHxP(7NQsMJ$|Vs3yDh!ixLSW<>g+~ zzf>1^dmvA#z_UN0{xg~U{mq2+U!w0IAZgf;f1luQl7|1Qa{o8^l0tk%`S*}79`rZ# zzlS*^zyHR};JX#t=UGQx-kh0Paodaf_LUiI04mtnm7Se~)1$gY^M(i_=V@pt6=DGO z?NuBU#Mc<2^9m98zdGP@%!Z5d*yl+~R|d)LSmb(##b&<^F9aiR|7^SiK1)2B{T;qcejhfYwYA9WzOqbJJPwn zHq<}xi#EBIhwl7fcpoj=vQm8#A1@W0EN7=)KDshIyTk61FZ5W~(}wqx=l>ar&)Wa`q-yZh|HF z`H>*s*nODWe!LfgZ?N6AEKLx*6dxugRhAgIIWJDj5rd~2%1I-SW{6xI5)b9ObLSK(t1w5sTZ2p8Y5|z&;n6UC$#|cSZ~`ocG1+owwRJKmrxh)NqFLkWG?V)!VCt9J}ww077SLRqtz>1Z0Sq71&Dn-PXt3ut)Vu_D}U_^VdXTg@-#w1 z#n})~8*gpkz!zJdy-!xA0`^1#X_J0zVCP`;qtI|`sW;YxtkGzDUSYJ+anlj`O#8d2 z9^!+nS-n3a%uej7M#snJaED-TN;c6)4;pKGT^NXwAR%;WVA~(KB0) zyjEzj-x1Myo<#xE^zkuZMvc-#k99n^Zyk}#mYGEtfF(hqD{j0p1P8jl|I^j4Ky4fS zJdL6;RTboieUb$615CJiP~DzZ*RaDz_@42e6Ep|%?4>#bTcwP02#i>$>{m)bAyDDe z{jr)Mq|mK%2M=$)T_fhdiYD3+QKQD&C{w@0<`#&HqHK~a3Mdvb2ph7{Mduf5J?lzo z2upKthKmv=-XtVvgY}`qYN^OH?)boh%fv2_>d3FCv)fZj=qG-f{MW(_l0HTVf-YO; z^?>WB!#H!Y={O(S&GUC{s6ry40>N{;)(?uAU49Mo2)g2}!PQ^7@V+n8Z5}1A@HXz*2t`=@VE>>GBIpZj>-XLIg*n4SWSE}=8&%v$ z4>m0i>UZZvO5!T^tDkdvCeDubac%8Xl({hiAzOgWhR?#zI_YPDH<4eas~o31D_GYd zxHN>fx);&SxjTl{eSE}^Z=?HDGzU`{tR`72`TOP7H|C^C3w;AsM|YEqd4xYaJL}&~ zHEdLGF}Gp8!WL0cC0r1M$!2#&g&z9yO>|fzs{?>fqYE$ccRqXrDax`+?oaf#9%&&- z2^&d?2?dZKE-o5mjJ-`GdW$CR6EA1Juwf1?HBu=*-E7rIF4e^pB%lkbxNK#F;-I4+ zH2<>d35whWsG<_UCMz)Fwm4>mpGA|&y3Dt>tf|u6M2!~zBpsS&bWIKBh>|1n2hnoa zx-qR zD~h3bZ$c*066ou9>2o{{qcCAs;IKEEZrzUuJQ7g2-CJ+q!b?1Qv#kL~bIu+$>ZE2i z?zW`7&QAC|^1qf-GAZmE>_3*%lFie@U&Bdg)EbQ8Smr-m06M#k3fxYcdgpxw7~sV4 zU0r?Uvnu~<8U^s6EZ%<12Nm+$&wF6e-!#3)_jmi^Z!)$26$vyQdel`kTwd{{L;pcrtRE22}hfb`A)WL2YdXY{l7tVfbT=p_g@3)e_`_cpWniNv!psxaY3f3??d5*q}PO}{``CG91MTN|88NK z!iOAMV82$lQolJ-eCN?JKL36b@#I7S0^%t;GuDBWLF2Bj-a_4_tnf-2SUl*6;Y}V+ zX`@_`wEh`bIocH_w!Wjsaq7NOEi+{Ed$a|OV>Z{t1}J!?M;E$T!4ZHbGk#*TFg81D z?QRKwU#JXt8GcNkaiB83Z_(x>etN*lNPfa@;?uYdbA5(zOm)jChwcy}Wp zx!#^W0gc<0(Q0$Qm-|Hq{!)po4F}`BVsSfQu|!+pY;4fQ!4Bey@QpGDk>$K|is%#| zaJ4txdW1I6wXcb3I+IRcRQtMP?d9c|>B-p&c64tFT7LT>+dtHyXrg7qy}O)AHkGx( z+h&y%Z5OT!$R(PK=dI&BZu<4n+tzTjm=(i#8LDfa@ku__A3V2d^ZYsYRqqH^t=_Yw zXR57pcs`*X706}1+PwPBf5YoVxQbP8!VDn(DhK!Xjs;&R3g}uE4>*W2Dr`O;Rd|`C6T4M60{!79&@VVcfO%`z+``0TLI%mBow;7 zu*SI5GqEx-GSi#0*~v|-)(=Pe)S(}3X$q~Wv9o#HTFd)_2|MQXhuPLQzC*fN$GNiy zZBFPl1|wPJwT<(xrmo@0=&}F-_S|T;e6xUi3RhIXOTr^vFgidwMhb5@Tgm}fj+M!;}}m=)~*2F zL3m=*iBNCS2LQl2#0vD($;p*KQk=vSV{2pmn6Dz9%@s6R(ap>`h#ZxgNMNjGkw+1Q zOqQFzSZruO_Ht=gJ2h;0(%Emb>Df2q2Dki_^R6}qtkGNLM5fl%)Tn3I1jj)Jj4IIC zKswejFw?WJIAnMwi4q9ya|2lC)_PV4S4ZuZYnO@TPvz5G?Pui3uq-U7V5ou#2v~2( zDL+>_k9G1Us4HHg)<0y$Co^f{(QsvDIGOtZ3l0nCv#prfHjvrXc4y3|=KDW?rsD1| z0WN>JH+Z|*?TnCg$}BD}syu8sz;{vRX$GI(o?9C0?99Qz479NU2JMbB6HZSDtJt!g zol=9t!-v}IR)i$>zCSvt?x?`m9F^HLJjtkAO%#Cm0vb%; z!?~j)oCg@TRFz7wUjmH9P_u@nhPv9a$JF|30IfU2`<<&~vU2ojU5veJ{ebTuG(5Tr z%&wQOm**RH)>TBk*+?OyUadY4_z;qkV;d?}UkDBrg$iZ86ibhOSd%`L2~jLghfe|c9N5z@Rm+MS!K zYFc1XX-124;)Pa~*vzTq?yYQKFgkaQ=Ueo9U8Gv}+_R%1MR6^2j=D;5tfX#i)YBl$;T88ey;oQK;SfAN&V8GE8+wb#x_&^*|Y^8vRNYGawUz4dU zW^)gu$3IQIVc8>oK>sIuFl6CGlFM7hoArmR56O*C5dZDqTCo{YA&G*f?S6+s6psXM zot5IL(IKORpWgoA6YZyNcPc{s<_t|0C*s5H7Pl4SpbzciC<+OGVzRZRfs4Iz{dV`kx9Gh;UXgio1Jly8+J-a-_WS2;i6(x^! zO>S?Y%I=Oe&~|&$FH92Uk=4f!(c+LtB2#}|{Mj-uipi7Mz`J6-g_QiR07k#t_IxIe zh*O`C{KlS5Jp1sH0-iNVcm$qLPQ>0J=6F+FelAQS#T|(NU_*ZrwiA~x-}%+@q?3BJ zD?_*2-F4jPYYpe@evj?a`o@a_ZB0{Oli^C(l8`q#J0;a{Qg??7*hA)0JGNw}U=d6~ zWE@%b0`NLwhU{g6M*2;vW+aJ4U9p^9FzHPhSVM`&8RATk#(Gmu&pV%txC9alC+=U{ zkC|f^Kj`O%UC=hNTyK6R@z|N&goYlRw@tK*;I&D3d1{^+Zrr;qs_>J=A8{d*4M{aM zWO&C;+GtM{ZLN-%(fFJf^0Uski}a1An-VZ*6Y_jB)+ zjUm(svA~m>KG>Ne@H0f_U>MZ8_DM0nDoT(k(zc8*11@ew4(`?rA7@#Tx$TlZSbl{4 zKrn9p<-0p{uxH_UmRapo!YCI`WVqif94FMJao%gjO~Kywg?T-Uct~&LK5{%Iss)Y1 ziUe^Sm76d zzqBQ>iyC&0`E(8I-UK@XQ+4NAt6d&9MCL>i(0ods(UYh138jTD6N`HoA9cQ4t%=%<`Oiv9u`t%-?9ksD4>Eq6DNWv#{(t51A zeJ2>z;==jN?LB#bnAmnoeE_Kk(cnA(o<*ml9xIrWlv zefB)nMbUTmJaNcK?}N5~NY!4EE$K8-Y=q=LR!gSX8%(v_P^h9wI|Ea5=F=X4X0~08 ztt=;%oSwyouhy8fqcAYqh463gy&^>LsnJ!{PN>oyE;|kyTFWOF>#Z(I%z3y-RhIKf zmjtzMI+Mx0NhBGUJb7AIOuKsm9cjVDPh9g&0f^pLmAEE$Yt@s!JA4WxlYZS|uZ)3o zQif`mak~eQz=#9L@CT{v@V<`p0eog(Dyo`=LLY&8;mgkwKx~aEm4r^ac@U%*oGRqR zMy?YiUHqv?<`KYaSmQ)IwKXxpajs)Uae6XY1bSgrqOi=;=y@NO+o!3)WbdC??4mzo zn!wzGNkO&j4J-bd0aARO+{Eo@XJ?S0J^2Ae=OTlej#zz?ymyLo@?{+hLbx*LO_3f-t^2|&VAs|K; zEAHvixyc2CQXHN9d$A$@=;HPMkkM`^)2e-GWICr_5B>Irgo}^UxfOjdtN5b((D3na z1_`I2h*8&ImbIkkC`OqWe@Ds^&0T1wR`7Q2DKCuCw^YeouDd9z& zFi8v!H|J9cGj9y`++9|iR4p`Vl5SRAd7T)~qhAA_86kAvTjG(3CA)SC6t>`^$KJaD z%+X`E!t(XnhQQT)$O;8M&sm1itakEOLrw1_adgVDEF_0>)hfqw8>@)C`kegtdb4J& zPSvVH3EWlL&pxpx7QOaCkGos%iRhp6W%oBSa#NPUo@gfLSI(BMOmt}HQbrA=xJ10v zqgu86G;Shn9LFNhr`|DwU6@=n9hSvbhb`Fx6Mp}K7G;9udygX)f8^>NJR_rVY+gI# zWKmeWT?Bgp4D-F;M`bDz^tektXdpa=U|qEuT}1nX|1M`1bwuH?lg;UoI++XcU_CQK ztc9_v7#^&8NKMDfeJaRN&0v1*eG0xR$)DY;v9EH**i3B zR*!knL;pj-CPHS%B8@jXVSvfIa=On@(VZ79v}X9+^L+LE|j>d^^tq7+*TDI-LZrOlkh z+!F-LVlm;#7;5%KUiD`7;&Cjt!35|el+vh%?0lqC*tV-OS1=`7p%tHwN$2SzJnE?X zQr$cS`Z)J)lc_1w>m^3)&ufXLr-hyLmqXC+Bu>-U+%@kUtFG7Si(zpEJ?c~HA=p)e z=0oa`B_y>#x&hSGL0S}=g6yurtsNz))?;L?P!M>=hi&27dbOld*yt>1gfQ8Kl2#GM z9krfs4m%!pXp=`yc%}U9xqbI~v@H|__%0*+IvB|WFGfi%w_D&=5=m4Jq+ho#{62y* zz>rcahhP#PvH{>z zQr@)Zb=OL_xldD*O_#qG)b|7if>^cW;m!{aJ23~(O#_H(Tkx@$&`!b8kFzV*42#l+ zCO>_^fp-^H@)(11;H7TIkU(=!F6pAW7u;h9l!4^ma)u2Tk$X#PO06K`A#)CLLJ5-Z zJPeS@DR}q+MfacFzvc(bYa_`@)3T{u(07Vyu#n&Lu}eMS(oWj8Hp8&Vx}Cf77UvL= zF7Ehuw=KKs_#-$9S*WFOw>D$rU5#+#HXT;Y;z91)zpTU?OKaq?YabnQHc(~Y6=x`O zx&_;u;^-^*8|AeRxP@qiEJne`GbI@ri{V8J-s7dme)$dns|F1IT2a2NLm!x-dUICKwU~dKUYq*;GpkKw z^Ht(kvcOssO`>>m24uC9+>Jqt5Uq?!X*D4l8Qk0gT)L#7Y%cbr^N^tRXE_(l$hNMF z!flS>ilN=S#e=4q#~=!hNp@4U*gV!)a8CSYyAEmgw{`n!X(}1gxU_f>z3G~sI(0AkA1 z7k1ZgQ(-&OJs*MHyi`+wE}~E90OFg{(}}8c8%hUj*rbg$QVzR`bKdUFzBjR#kbsP| z21ShxX&f)Lz7{mjJ{Mi;y*}~sp^o$9xQ$==wlSd`_~uyqcv1b_EOg@M0OaBVqH}C7 z?inM#2bc_{qnhs?<>can(P-3ooG({)&x-RFfK^r&>NxMs@SOBg7*KdsEpeU-!`#4( z`3$NnA5{t4-I3KX~OYl(kL*tBw5>saG~l8 z+|VT>gKi&t24L=VL0Q%((EZE03jXY7xx|zo>OH&b>s0n;j+@oGx9^_&NVpLGth{6m zkDRmHi`kV`D#SkSn-V~c%cu4k&fzht&^fRiO2EU7c?k?I63+&5$nd3U%i!Tpr@E_X zY^Wl$d9x@cp^>LBGcYAJ$^je;K_l$%6oams2vD2@FmO34M1ym4wi|>e6u+|;+UD>DNRSHN>;L7+-YK( zQy7a4r42!u#nSH7&QQzp=790RfvU<*bMRutoroFh+yJ@SV_P63kg^MF`bV7IGfoy)gA+Q)cefHO=qT%P&D7C-3Ml` zbJa7MQ7mGzJWq5pJigraG9oAvd8c&at~8m)dGC;$)~u`@{8-7L&fZaXS#e$AdS>cj zL#ZC?#(9Xdb-1$e4}L=adaP0q!{HSlE>GQYD9@o~-Z!4#A0-@C+qWiP21{Ey+mur= zGGeo%-!_Ky`5$|J1YnUS`w2ByJ6bRQbe(LfinB!4$%}uN z3S1mC+;2*d)M>VH_g%zHJqrq3Uv zz9M|LfuhO`(eYw@bbLlb-l;ORcSKq@sER8o)#-k_gzQM`uCKl>#f}?Rs=Lq|TxY%; zhW;9;g(r}y;epZ{#gkrT+5N@li5Ub+;X%wP~lZcQ49knmOpczgV09Wo}F3~mOg+cwzY?r5jTw*>4IkGL~@^M>HzU?=95 zJ;h7;wifrHoEGM33T);Mn^_UHewtuCxIiboi3d@B*Ia#2;?SwZX^x*CwpN{CBtEFf zB3Q#t-hN!%o}cC^kDG9}%M>>dAM&+xxYCyC*2pSLW4qZWykQ^j9KQl@3R>okeG#O0 zFv5md>oPGHgqYn_$y-{XHyDT}Cv8_)Gj<_qHvPOC zomA#|1`I2jvL64*rBBrGOZ_^`4(hwwe`)l-Dy{kVe#iV!cqF9aM^W+%h1EPAM?VcX zMnmx-(Mjh{YfaTdCfoMy^q2iifGwylB=G)jbQ|v#m9wA-=yiU1{dd9s!Wy)p{1Z!2d#?Gzoi4c)hAOe_F@`)rdeV`NFO{hz;nw zymY90ib5xkn1szcceGd7OnhhyMsE#*;ZPPh;UyNRKr1hiR%$j6+o9qNHMw6Myp=SHJ5$T)YYGT9`-x}UW8se z5DrnG=KFjV{vJEBnTLTt;^O#@s)to1sM7f;!HQu1jgTGQ7vaR;D;8sfw2dmuKmEhF zzVIxMU{xG^6hVa%1ayHz9AsGd*8)oFL@;JWLpf;c|liI&XYD$CYnH zJEmCvI6MB(8qbV#;LW1^gnOwGzN`}erN#an`F|xw?gLR3!}r+lmGA=kW2J0!GS8k* zg+&2>_<6`RPnAN^KfuvWu&&TtT|z+KMdAzKW+chSYrCXc(SDBgRYl@It{K$lxWE1S zOYhitgm~Jzl|8)6)SoJ@eIfN9y_(3*Sew@uWd`6fj}!kcF=&5AxMq|?eX&y6+^cSM z+GbCW{8m~lX@72dZf>r@{EE!%(vP-0(p%^H1q$-71gyuml`x~l0P}LaX6)mfml$O5 zOMLxo4DGjZVQJ`E)~wGvC9D%ZqiL_Jx-efLDcqNk;@ndD(Ma4qi|qc~#cXir*kt3W6sHnaRY z_~A}-QB$iKskA*^c_%3Nw{*{@DO(Yuh}vUy>tu_ro}exx`eOa$1lJ+19cz-9+RCIi zM=NQmbt!}-kSSCid!&`VS*Xupsf>g8Ir3#~H7lDV`m5IN9L&?p-{%8A#@=3rJHi{R zJQ63Rec-mPJ zR~bc2uSmq%>PVw?*@ z;5U)K_^&d6t%8&EFrfvujH=S0zP<^S_m0)jmQB)BEyEme|qv7n;vIaB<0)6^_?HYymkoH^N(;^wXdZ0G)x zJ1!$d5eon>t8IA*7!Q{(NLikKVkw#0jbRxYqxsC{q-m}N=XhpA-U? z?OY;1dgGS&3i@N9BZO0Xx!j(3^;HUaz!@1i+%tPheqlZj?l`fata;zP()d1eq?aQh zpM`BJODskT{ENGQgOKaBoxAgfI!$KE%s3jD?sytR7Rq}Pka4H zXHTDOzo%~z!>y@|4_yq#-k8Tycl-Vjn6W|5h;3ZY3=aFsP;5s}>%&U$ULsm8ZHSkf zFG%AN?8Z_yQ!}7G^x+wgY^Fs%C`UFx+AempEj{L=SIR$!kbH$quYxlI%yF0ni+-C< zMzqe^UD%c_8nkIHv5#=DBg zAe@!?VX30QUj&=A0ErW6U~Eu*KUc-Q&w$-xpWVv_FSy3ezho}*xPIQdWNuTFfls^q z>-wzggoQ;v=uiarudG$5zQVswg3GO&{|6U<1CaMMGbjh#WQ%k z9{jYiIdgkE!*tbUJscOd@)WS_u%uexlwl<%#yhqS<+C=1xw0m_C_PgipJM5 zKaM8@2smzsR1P0;)U_A$idT2yLrgIEC#QD%Q?fz%*MBVbgSIg^+H@ZQCr*TsW}S$6 zGC!3B=0OhDWdp*v+fruceYE-K23s`BSGdzBv-QUx5^k|Vl9}`&6%&)w2Xh0N&C_2# zBX5La=C3zVSXCHY(ed9(fo#4m9{W~P<-bbiGE~)Rq;28M*(T1jBk)m@Sk#WdtzA|Wn zRGd=GZHW9}hCjEI$iUjvbc_2$YYaE#h0_6=^WXXN+-awPE1Kh(e(T*eW0*UJtlEbS zHvWj^s;OU{avHJ>3@INE8p?=g-9G

wLK2i1;iAhJyV%$B8POLSR{h#DM9BYhsTH zqd(@~oxP|4Q|ayd+tM}OH~UDA@SEmW&|H#wA;0Ys$fz6JLjE?xU9@?gI{W%ZDUg4Jv=|7Wb z|BJtqXt+-Z>?h}Wm##KFV-VU#_>3|X%7OZxXn%V42d84Y{S5qD@Fy7&ffRB((tnxs z`UIlEct(l-e6U0Dg=+ibC)VsgWb+pqG(LLYSMdA&&mlOr#QlE-jQ)-8`R|CuT;&0$a$KS>G&tL8ztDhYHe|F*DfUI9B zd(RL?qWf;N3UBxg0r&st6sPjv2*p2b|EuL>;bQ-U^V^HSVTyH)0z?FaM{3N%FT%K3 zfc?Fe{T~(2blO(;jO%w@2yc%ZQ9r~$b!}U#7G)0u58c3uEgw!JBRMcan69rzrKtcJ zheDqgn&dl6B6Njo-9+a6j2f=sy&!{gHo-YnV{!+?Zj9ljmVVGh*|fl8sq4HG%%bds zoid+KZRKnMCoH|xI8Xa(U(E6tFZQTiSeX+7+TaoFAl!CkM1?#&U$vbz=Pk1Wa=Zd${*bqHi_Gb75- zwInFQQhZL)%NsfcKPVAX+>9^1tZyn^X&w{{&`OTErzg~SVkvuEDC@793bi!1bzkkR zpiW;tT#Rpm&sw@Lvc+BW=3ny(Do4e3#b{&+`QB5N=aa9_bSbN*2P>tq5y06t4ET6U z5bSQ#V8)|vHQh4l{>qDK8?sgF8h=|ty0tfo7)Q)g@}!?e>iMvU)B3)}?C6K2)^i!% zZhC_iDrBb9g$RlNi5~Y$FJU!#>ltzuI6mHh5z_5K`r8{IL_I@qR?Sa*3OLlQ+*6?k zZnpZ4;RX#9&yNW<^lWcE^6J#qosdm5oe#%;y^`-6)E9Q51u{r>93S)eK4!v+-E0^@ zf_Vk!j$4tAkv!J(C3Di=luGGJs){&DpGJ9DOH8mVLk*|n)IBr~DF42NYI82Mw0vtk z>wGj`%aX->Q$?2_rk!0eBof7EpX6pEMob##CgYxEQ>QvfhD* z`^7eBE1nFfw!Ge5XZpjlx2ET4X<#hNug6IdqbKp#jX=gB3E1xL{vo~BTaLQg!9R+S zpXcXaIF9k#Z`y0OeNgH9yxxK`!&JPwVVY5HgZ4)FsV%Bw>l|4wLvUDW{bogLNP#v_ zHj>Oqv!zy}A60Rr>Z+1hLvrO>O(YmdjFH0C>WeHr)v`vay_efA-6m$-^(P5=Hve>OU za;+|chFt+}L{M(xUwn&{qj;LG6Oa1eseJIaR}?pLze8FvpfW*FmH6W?^P!S11AJ`0 z$6v1_;Q3< zd{mHTy5job;(QkJTNZ%&DjG+X9YD;!sJ}lbFs8nFp2Kk1mJWaQ`Cz?L`#^cf=OYuL z9E~YN|L)K$L%wXZjPK6497eJf%PMwS-YYcj^4cQ&Y?LL%C05Y)4(Ld22%Xq_R()l0 zayomn4SDz9D0|Z7B%gna7GN#C_U1=Jb?>fIJ6(nAow&Szh$zHWW z7iLYN^lCRx9h>_QlL`4jTSE;4lwGD&KExk6FrfGcMNUYvi-<-tD}Ug{;C|q;POrL* z$bz(`S1}sS#^Roq83yv~No@*g@_Wo!jC2oKc_oB<9Aa8lQkJ$;EVBWd@Ud&C&4({H zMv2_E1H>uKZET!BdDPoZuBIB)6t{Oc2kyR#Xz^hY3o6?D6`;r0Po0Y+hiplYf})am z_l`cUJj--dgA6x@PVlJfM%Vq!MNr!qQ8dis?6_-L#hHKkxL6G3Yh0^r+a+kGNjOkT z>Rsve^uXq(u+baR>Ks46;Tq>ozRCNv=HkjW92=&qh4r7DIHt}k9$>=|y*mO*H8qU| zqSZR3`|1)rVfLjq^O^{;iJYh`v|!%Ad}n-y<_BYISqKl>soB_YT)9XTF-}Cacf%jA#Mo0j(SVL z!<0eNecKvj$2QYfHh<;m@?QLk+shM7ED);etYQ1`LrD*h0;a+NG$o;2NNjG1T4+D{ zO^=Yt`;`l>xo_?wQ~oPU0k%f1>k&4oXt;sk4%#uI|9a?O85CsTwxV`p6R~%b zgW%1g^okg?H_>(3E0B1Q1JkJgpMm~$M%?cwCiwdsTLr4MccOpMv@uNW<+I2KqCwEl z34+UoeK{(h%^n{Z7fJNJE9J(^C)$%P%9gkL&kPbPJO^FZL$lI4U<~V~Zt}7<)^Y8; zD%mfU&geBI3ElN~JiAU#C@n`q>=pINh~9Yab)4{!#civ$qr$JGyYR#VKOei#A9>xg zj8FwvMh8leCDn>)mTRfPZW|{Dx=mgW^BI3Gn%^QeM0!ASRm}{IU0xn*o;)aVZBU2O zh6y{;%zE^EAeHvFbEj0~570?Se`S$dve~)1L#-#tXAwl%qgHvjtLJhwShC$lkRT-` zGd1N1D4bWxD&xkOb(o>!zga&|zfOEnL@4!hPXE5M48PKI!+6X*0a)yct;p;7%Xw*K zcJD~14m;tfFxAoK>EKKmMdKKsjUQ-`px;aCL5hD7CnhKO|Aj(p&G1w@JP>2Bo|{-_@chr%8&(v=4Zr7{cYo6ZuoFc5pm+12oc4JYO+Oc(~_K_!>#Tv&EeHCZb7DyqCRk3r)D3L&_O z7<$_y8Fma%U%|k{3mvF0&O4JZHQ(wlqVp!4`Dbu{FyGrmFEr;QTm2oj*u~noh_*A< zzJ*jh*zKdLitBLwq==n3b?+c}9UVzL_!j%ySbdI*=Z4)3EG}OBq^ga7nr+f|mhdxB;@O0E1g0sA2J>JJeW`4UaI;%^@;j$`h)#gqX^Ag76o~7Im`Lx zXNyx{y4uy*FpwY5_Y%NLyYW)Q7E|eWq==(clx@#v2+2N~D#r1M2wU+s^FIxxdzmb$U{byV-JO#Rz2_=Jy<=@| z3@jxrChY{i+A7+8+OyrPH&gS&L;Tey3&klBAbG)SJ|X-EWxFB}-s48<=xEbf{4O>4 zu6Om|IonPeIIqq^7iK8&H6!V6G3za4lwR#j zu`?7&kik6#kG{^%4nECgudZ3_cO!ocxI3MamBV-#b9^qlWPe~KAYML*4H5i}IC`30 zX+;)S@3lv0cRg7~9%Rl$3o%L#f?$Yw@@7fh{DMdfe2Mf|lFm^Hp^5rH+AXd$j+OSj z63F$=k!VLyJv4-q{#^h9^#{$U0MnC|ZDy^5=R?m!8Ezl$8$FMY=bNw68+TGy zPg1jAc*5v)8m{K!ldFnHjmYT&dE2VKMP7M>$1wf#PY1txn;*3Z^5s|U8sOeY!T_E- z9gkt&o~p)vHPYKZ4Tvocn9_7f8ow}IgmZu&=8nqH&vVVqSqt8zm;UO?Ua;|cnBS8* znxkLT)KC=WGmU<9f5!xYBv!4%>e9VPxytD+%uMj*lXfmw@53%#Z`{z@?%&;Mlp%g(4aeQ$ z(mlGKnaK`WS2+@vc$EQ5QT6g3 z!%W_Gn6YTtTotiW^)7)-ZI9yqjHPGF*WNSbsvKNw&!8)-BFrYun&pgB+f1h=gAg#*EGs_m08HZgXkg5@Ja9Z=qqn|sr<>@MQ zo_y(7cEO1oZ%9!i$RV_ZllRkRkG<&hhz!>v$bpl3E7a&AQ3(OT@xw0u`G?>8cERHw zP~Gyr@)h^s_#5}r=d0%3RkSr=xm<|G(q%p=KiE@$MJ}r4V|PKIjnAy&(i-sV4kl*1 zcv6jVBbZb)Y8|D`eo^G-q{jrFN1&8s&{*HFy9cHG>9t>=d}2KfGxXqxjitOI{N*rd z5BsI0vuBWX6jLpbrr_!t)O%hVOzz-5cfUMk5Zpa%`pjlkZ&m`~rhOm3`C#jpXq{^s zvdTIcwwJ&$?rJKzB4nkuv%frtB!Sw-WSkmJ>N>d9} zs;o@a;hhgisS3#IPSHlue^_;=Rj+!7%pY&~O8ZO_IdYihXg$i=rtV<0daqY7-^`V9=BjS6$p z!mK3s$`1!F;%Vd2gA+&qr}sWaQE?A%zdoizZ5sy{JiZ5{Dr#5X$EMYeI~*>#+r+Eu z+FNvGtC!hQx9-O5v-*nOLKTM25kJq*do#h^Eh<(npE-P^g0RCAv2eL0MQU_Mh3&s3 zk?iv*d>KbYVC7Mv!bU+{>Yx}};W~sU(G6=bG)SVNp{1pzg|n>A&5_qUr5lDoMQ6Zh zG7*() zuEDbPmMd~vcVVqBd)e!U9F0V)Q&l)-`;oSPN+DeFR%$N!V$idGkfw4qB66bWRHL7M z;-IIJ-oH>skP}t)R%sJD!$>Pd@X%Gd_h7N652#ebr8fPhY#jL6v0qwcQd4izj7OfQ zqR2H7Dthu0Py!{i+G;LcAY|*#wO<%S<6o6x7)L?N`tI4+gIvcVfQqo)!yWgaMd?CJ zSv$_nET-dq!Q_zG>QZTgfWT_rCX9||_` z_lj1I0V#|@6g6kAB)u)Hz6el$*#+a3Sx)NR-S8u1YDnp1IAdwVP&|JVLy@dh;;v$z z!DN5dyiy7G>B{YjnD(Gf_3JFc#z^y~O| z9y9yUoFo-1T}zyi3w7oFSElzPnz(w|BCnOA4ghj>dR&r z>}HF>O#$ex;uW@nfA=TK6g;3Ud{7=v{k!?$iH-H8(WeLTe{Bo1EiGq;3lLQQam>Rd zMpp@i!14Tt_kXv(v~|xk|6Q|NT{BZtqmOGWf!p!$<-`3B;EaDCQPUCgugWMbt{_$> IV({&M0e3h~@Bjb+ literal 0 HcmV?d00001 diff --git a/index.qmd b/index.qmd index b70f904..b19ba6b 100644 --- a/index.qmd +++ b/index.qmd @@ -4,6 +4,9 @@ top-level-division: section prefer-html: true execute: freeze: auto + +abstract: | + This pilot study addresses the current lack of systematic, large-scale evidence on Open Science Practices (OSPs) adoption in criminology and legal psychology. A scalable, machine-learning-based text classification pipeline is introduced to map the prevalence of Open Access (OA), Open Data (OD), Open Materials (OM), and Preregistration (PR). The analysis is based on publication metadata and a year-stratified sample of full texts from the top 100 journals in Criminology & Penology, Law, and Psychology (2013-2023). After identifying articles containing statistical inference (SI) via a high-performing classifier, the author utilized GPT-assisted coding and supervised learning to train specific classifiers for OD, OM, and PR. OA was classified using publicly available metadata. Among 1,763 SI articles with usable full text, design-based estimates reveal a significant disparity in OSP adoption. OA is relatively common (40.9%, 95% CI: 38.8-43.1) and has steadily increased from approximately 20% in 2013 to 50% in 2023. By sharp contrast, trends for OD, OM, and PR cannot be reliably quantified. Extreme class imbalance and the minimal number of positive cases indicate a very low underlying true prevalence for these practices in the assessed field. Methodologically, the study confirms that GPT-assisted coding supports accurate SI detection, but robust prevalence estimation for extremely low-frequency OSPs remains challenging for downstream classifiers. Overall, this project establishes a transparent and reproducible pipeline and provides critical baseline estimates for future, larger-scale assessments of research transparency in crime-related fields. --- ```{=latex} @@ -218,7 +221,7 @@ if(output_format == "pdf/tex") { } else if(output_format == "docx") { tbl_cases %>% flextable() %>% - set_table_properties(width = 1, layout = "autofit") %>% + set_table_properties(width = 1) %>% theme_booktabs(bold_header = TRUE) %>% align(align = "center", part = "all") %>% fontsize(size = 11, part = "header") %>% @@ -229,7 +232,10 @@ if(output_format == "pdf/tex") { n_before = "Before", n_after = "After", n_dropped = "Dropped" - ) + ) %>% + width(2, 8.5, unit = "cm") %>% + width(5, 2.34, unit = "cm") %>% + autofit() } else { } @@ -242,14 +248,71 @@ if (isTRUE(debug_mode)) { The data obtained necessitated multiple transformations. All transformations are reported in the respective section in the methodological report. Publications were filtered by the resulting date variable to limit the population to the defined time interval. To reduce SI coding efforts, simple keyword-lists were used to reduce the number of publications by matching titles. Missing values were assessed, checks were processed for language, @tbl-cases shows that from an initial number of 95042 publications, all steps resulted in a final publication count of 40,860. It is important to note here that several improvements were implemented here but not processed. More details can be found in the provided materials. +```{r} +#| label: tbl-cases2 +#| tbl-cap: Cases Dropped from Analytical Sample +tbl2 <- read_csv("data/tbl-sample-case-drops-stattraining-final.csv") +tbl_cases2 <- tbl2 %>% + rename( + step_id = `...1`, + step_code = step, + n_before = before, + n_after = after, + n_dropped = dropped, + filter_logic = logic + ) %>% + mutate( + step_label = case_when( + step_code == "status == \"Done\"" ~ "Only Successfully Downloaded", + step_code == "nchar(fulltext) > 1000" ~ "Filter out texts < 1000 Words", + step_code == "is_statistical == \"Yes\"" ~ "Drop non-statistical papers" + ), + step_id = as.integer(step_id) + ) %>% + arrange(step_id) %>% + select(step_id, step_label, n_before, n_after, n_dropped) + +if(output_format == "pdf/tex") { + tbl_cases2 %>% + kable( + format = "latex", # force LaTeX output (not markdown) + booktabs = TRUE, + longtable = FALSE, # avoid longtable entirely + col.names = c("Step #", "Step", "Before", "After", "Dropped") + ) +} else if(output_format == "docx") { + tbl_cases2 %>% + flextable() %>% + set_table_properties(width = 1) %>% + theme_booktabs(bold_header = TRUE) %>% + align(align = "center", part = "all") %>% + fontsize(size = 11, part = "header") %>% + fontsize(size = 10, part = "body") %>% + set_header_labels( + step_id = "Step #", + step_label = "Step", + n_before = "Before", + n_after = "After", + n_dropped = "Dropped" + ) %>% + width(2, 8.5, unit = "cm") %>% + width(5, 2.34, unit = "cm") %>% + autofit() +} else { + +} + +if (isTRUE(debug_mode)) { + debug_info[[knitr::opts_current$get("label")]] <- + if (knitr::is_html_output()) "HTML" else "LaTeX" +} +``` + + [^7]: [https://jcr.clarivate.com/jcr/browse-journals](https://jcr.clarivate.com/jcr/browse-journals), JCR Year set to 2023. ### Sample -Using the obtained crossref metadata, the analytical sample was drawn stratified by year according to the calculation in @sec-sampling. The resulting analytical sample contains roughly 10% of the population data. As seen in @fig-freq-pubs-comp, Sample A, that is the training and validation sample for the SI classifier, is intended as the proportion of SI papers are expected to not vary and therefore not stratified by year. Stratification by journal was rejected due to the resulting sample sizes of 100 journals would have required much more cases. - -The final analytical sample is made up of 4265 publications. The OS prevalence classification sample consists of 352 publications stratified by year whereas the unstratified sample A for the training of the SI classifiers consists of 408 publications. The next step involved downloading full-text HTML or PDF versions, only using legal and ethical sources. - ```{r} #| fig-cap: "Frequencies: Publications by Year in Population and Sample" #| label: fig-freq-pubs-comp @@ -369,74 +432,23 @@ if (isTRUE(debug_mode)) { } ``` +Using the obtained crossref metadata, the analytical sample was drawn stratified by year according to the calculation in @sec-sampling. The resulting analytical sample contains roughly 10% of the population data. As seen in @fig-freq-pubs-comp, Sample A, that is the training and validation sample for the SI classifier, is intended as the proportion of SI papers are expected to not vary and therefore not stratified by year. Stratification by journal was rejected due to the resulting sample sizes of 100 journals would have required much more cases. + +The final analytical sample is made up of 4265 publications. The OS prevalence classification sample consists of 352 publications stratified by year whereas the unstratified sample A for the training of the SI classifiers consists of 408 publications. The next step involved downloading full-text HTML or PDF versions, only using legal and ethical sources. + ### Full Text Retrieval The initial approach to gathering full texts, which used Zotero to translate DOIs as per Scoggins and Robertson, was unreliable across multiple attempts and software versions. Due to the unsuitability of existing software tools, be it for technical or legal reasons, a custom web application was developed. Downloading the analytical sample was mostly successful, though some publisher protections caused dropouts. Due to time constraints, additional more optimized runs were not feasible. Documents under 1,000 words were considered non-full-text papers. However, shorter HTML texts were retained for potential keyword matching. Text quality assessment (Flesch-Index) and word count identified missing full texts [@benoitQuantedaPackageQuantitative2018]. Full texts were downloaded for Independent Sample A and the Analytical Sample from which Sample B was drawn. The resulting dropouts were expected to have been implicitly handled by post-stratification, but publisher-level weighting was planned and considered but infeasible due to sparse cells that would have produced unstable weights. Post-stratification was conducted by year only, which does not correct publisher- or journal-specific dropouts. Future, non-piloting iterations should add publisher-level adjustment. -```{r} -#| label: tbl-cases2 -#| tbl-cap: Cases Dropped from Analytical Sample -tbl2 <- read_csv("data/tbl-sample-case-drops-stattraining-final.csv") -tbl_cases2 <- tbl2 %>% - rename( - step_id = `...1`, - step_code = step, - n_before = before, - n_after = after, - n_dropped = dropped, - filter_logic = logic - ) %>% - mutate( - step_label = case_when( - step_code == "status == \"Done\"" ~ "Only Successfully Downloaded", - step_code == "nchar(fulltext) > 1000" ~ "Filter out texts < 1000 Words", - step_code == "is_statistical == \"Yes\"" ~ "Drop non-statistical papers" - ), - step_id = as.integer(step_id) - ) %>% - arrange(step_id) %>% - select(step_id, step_label, n_before, n_after, n_dropped) - -if(output_format == "pdf/tex") { - tbl_cases2 %>% - kable( - format = "latex", # force LaTeX output (not markdown) - booktabs = TRUE, - longtable = FALSE, # avoid longtable entirely - col.names = c("Step #", "Step", "Before", "After", "Dropped") - ) -} else if(output_format == "docx") { - tbl_cases2 %>% - flextable() %>% - set_table_properties(width = 1, layout = "autofit") %>% - theme_booktabs(bold_header = TRUE) %>% - align(align = "center", part = "all") %>% - fontsize(size = 11, part = "header") %>% - fontsize(size = 10, part = "body") %>% - set_header_labels( - step_id = "Step #", - step_label = "Step", - n_before = "Before", - n_after = "After", - n_dropped = "Dropped" - ) -} else { - -} - -if (isTRUE(debug_mode)) { - debug_info[[knitr::opts_current$get("label")]] <- - if (knitr::is_html_output()) "HTML" else "LaTeX" -} -``` - ## Classification Tasks and Methods This section will present a brief summary of all methods used to classify the variables of interest. A thorough discussion of the decisions taken, the full descriptions and specifications of the models used as well as the preprocessing steps can be found in the supplied materials. -Since most existing classification approaches considered were deemed unsuitable for this scope (e.g., @kimResearchPaperClassification2019; @sanguansatFeatureMatricizationDocument2012; @jandotInteractiveSemanticFeaturing2016), this work instead relies on Random-Forest and XGBoost-models trained on a manually and LLM coded subset of publications as LLMs have shown good performance on similar classification tasks [@buntValidatingUseLarge2025; @zhaoAdvancingSingleMultitask2024]. For each task, OSP-specific document-feature-matrices using term frequencies or TF-IDF of keyword sets, partly adapted from @scogginsMeasuringTransparencySocial2024, were constructed. +Since most existing classification approaches considered were deemed unsuitable for this scope (e.g., @kimResearchPaperClassification2019; @sanguansatFeatureMatricizationDocument2012; @jandotInteractiveSemanticFeaturing2016), this work instead relies on Random-Forest and XGBoost-models trained on a manually and LLM coded subset of publications as LLMs have shown good performance on similar classification tasks [@buntValidatingUseLarge2025; @zhaoAdvancingSingleMultitask2024]. + +For each task, OSP-specific document-feature-matrices using term frequencies or TF-IDF of keyword sets, partly adapted from @scogginsMeasuringTransparencySocial2024, were constructed. First, a strict dichotomous operationalization of "SI" or not SI, as well as of the OSPs was synthesized and documented in a short coding manual. A subset of Sample A was coded by hand, followed by a ChatGPT-based labelling of the fulltext. On a random subsample, agreement after reconciliation was high ($\kappa$ $\approx$ .83), so combined manual/LLM labels served as training and test data for the ML classifiers. A similar approach was used for Sample B. Each OSP classifier was tuned on all possible combinations of different feature sets and model. @@ -446,7 +458,9 @@ Given time constraints and the pilot nature of the study, preprocessing and eval The research was deliberately designed to study open-science practices via supervised classifiers rather than relying exclusively on metadata. This choice prioritized scalability and the potential to capture practice signals that metadata may miss, at the cost of managing model error and class imbalance. Given the exploratory character of the work, the analyses were not pre-defined, only data collection, sampling, and the model-training strategy were specified in advance. Concerns about classifier interpretability informed the evaluation strategy [@gilpinExplainingExplanationsOverview2018]. -Estimates for OSPs are domain-estimates among SI papers (see @tbl-cases2) drawn from a year-stratified random sample, beta-method CIs are based on design-based variance. Design-weights were applied post-stratified to frame-by-year totals with finite-population corrections. All OSP estimates are domain estimates for SI papers using design-based inference. Design corrected 95% confidence intervals are computed with the beta method (Clopper-Pearson) transformation which provides better coverage for low-prevalences than Wald intervals [@agrestiIntroductionCategoricalData2007]. Results generalize to the keyword-filtered data. With $n=1,763$ SI papers, SI-domain CIs are wider than the planned $\pm$ 1.5 pp. Because some SI papers may have been excluded by the screening, OSP levels for all SI papers in the full corpus of 90k publications may differ. An audit of excluded records could quantify the coverage and enable adjustment but was not conducted here. +Estimates for OSPs are domain-estimates among SI papers (see @tbl-cases2) drawn from a year-stratified random sample, beta-method CIs are based on design-based variance. Design-weights were applied post-stratified to frame-by-year totals with finite-population corrections. All OSP estimates are domain estimates for SI papers using design-based inference. Design corrected 95% confidence intervals are computed with the beta method (Clopper-Pearson) transformation which provides better coverage for low-prevalences than Wald intervals [@agrestiIntroductionCategoricalData2007]. + +Results generalize to the keyword-filtered data. With $n=1,763$ SI papers, SI-domain CIs are wider than the planned $\pm$ 1.5 pp. Because some SI papers may have been excluded by the screening, OSP levels for all SI papers in the full corpus of 90k publications may differ. An audit of excluded records could quantify the coverage and enable adjustment but was not conducted here. OSP labels were assigned by classifiers whose sensitivity and specificity are imperfect, with potential misclassifications affecting the reported prevalence rates. To assess robustness, a simple sensitivity analysis using the Rogan-Gladen correction for misclassification of a binary outcome was conducted [@liuQuantitativeBiasAnalysis2023; @vallecamposSerosurveySerologicalSurvey2020]. @@ -456,10 +470,6 @@ Data is reported per year. As per year data given the very low prevalences is ex Two research questions were formulated: $RQ_1$ on the prevalence of OD and OM among statistical-inference (SI) publications, and $RQ_2$ on the prevalence of preregistration. After extensive model development, validation, calibration, thresholding, and misclassification adjustment, prevalences for OD, OM, and Preregistration were too low for the ML classifiers to yield interpretable, adjusted estimates. -The ML classifiers trained on GPT labels inherit GPT's strengths and the data's sparsity. For the relatively small 20% validation set coded by GPT, the open-science practice classifiers are less precise and less reliable than the Statistical-Inference classifier. In contrast, a question that was not originally foregrounded proved answerable: the prevalence and trajectory of OA among SI publications, measured from metadata with high reliability, show clear increases over time. - -Before misclassification adjustment, design-based prevalences were estimated among SI papers with 95% CIs. For outcomes identified by the ML classifiers (OD, OM, Preregistration), these reflect survey-design uncertainty only. @fig-osp-adoption shows a steady rise in OA from \~20% in 2013 to \~50% in 2023, while the other practices suffer from extremely low counts; for some years (e.g., 2013 OD; 2016 Preregistration) estimates were not possible. @tbl-osp-prev-overall confirms low prevalences across the full period: OA $40.9\%$ (38.8-43.1), OM $4.3\%$ (3.4-5.3), Preregistration $3.6\%$ (2.8-4.5), and OD $2.2\%$ (1.6-2.9). - ```{r} #| tbl-cap: Sample Characteristics by Statistical Inference Status #| label: tbl-sample-char @@ -527,12 +537,14 @@ if(output_format == "pdf/tex") { } else if(output_format == "docx") { tbl_sample_desc %>% as_flex_table() %>% - set_table_properties(width = 1, layout = "autofit") %>% + set_table_properties(width = 1) %>% theme_booktabs(bold_header = TRUE) %>% align(align = "center", part = "all") %>% fontsize(size = 11, part = "header") %>% - fontsize(size = 10, part = "body") %>% - width(5, 1) %>% + fontsize(size = 8, part = "body") %>% + width(5, 2.34, unit = "cm") %>% + width(2:4, 3.5, unit = "cm") %>% + autofit() %>% height_all(height = .2) } else { } @@ -543,7 +555,13 @@ if (isTRUE(debug_mode)) { } ``` -In parallel, @tbl-sample-char suggests systematic differences between SI and non-SI papers: distributions of text sources differ (likely reflecting publisher effects or text-quality variation), abstracts-only are more common among non-SI items, word counts are higher for SI papers, journal impact is higher, and OA appears more common. Several contrasts are statistically significant (many $p < .001$), but these should be treated as descriptive given unmodeled multilevel variance and field composition. +The ML classifiers trained on GPT labels inherit GPT's strengths and the data's sparsity. For the relatively small 20% validation set coded by GPT, the open-science practice classifiers are less precise and less reliable than the Statistical-Inference classifier. In contrast, a question that was not originally foregrounded proved answerable: the prevalence and trajectory of OA among SI publications, measured from metadata with high reliability, show clear increases over time. + +Before misclassification adjustment, design-based prevalences were estimated among SI papers with 95% CIs. For outcomes identified by the ML classifiers (OD, OM, Preregistration), these reflect survey-design uncertainty only. + +@fig-osp-adoption shows a steady rise in OA from \~20% in 2013 to \~50% in 2023, while the other practices suffer from extremely low counts; for some years (e.g., 2013 OD; 2016 Preregistration) estimates were not possible. + +@tbl-osp-prev-overall confirms low prevalences across the full period: OA $40.9\%$ (38.8-43.1), OM $4.3\%$ (3.4-5.3), Preregistration $3.6\%$ (2.8-4.5), and OD $2.2\%$ (1.6-2.9). ```{r} #| fig-cap: OSP Adoption Over Time, among statistical inference papers (design-weighted) @@ -700,6 +718,7 @@ if (isTRUE(debug_mode)) { } ``` +In parallel, @tbl-sample-char suggests systematic differences between SI and non-SI papers: distributions of text sources differ (likely reflecting publisher effects or text-quality variation), abstracts-only are more common among non-SI items, word counts are higher for SI papers, journal impact is higher, and OA appears more common. Several contrasts are statistically significant (many $p < .001$), but these should be treated as descriptive given unmodeled multilevel variance and field composition. ```{r} #| tbl-cap: Overall Prevalence of Open Science Practices among Statistical Inference Papers (Design-Weighted to Frame-by-Year Totals) @@ -784,8 +803,6 @@ if (isTRUE(debug_mode)) { In @tbl-osp-prev, adjustments were applied using sensitivity and specificity from the ML-validation analysis in [@liuQuantitativeBiasAnalysis2023]. Under extreme rarity, adjustments become unstable: intervals widen dramatically (approaching $[0,1]$) or yield boundary/negative estimates when specificity is insufficient relative to prevalence. For OD, the false-positive rate ($1-\text{Sp} \approx 12.7\%$) exceeds the observed prevalence ($2.2\%$), pushing adjusted points below zero. For OM, low sensitivity ($\text{Se} = 0.20$) and tiny validation counts produce near-uninformative intervals. Given these constraints, the adjusted values can be interpreted as sensitivity ranges rather than confirmatory estimates. Any substantive claims should thereby rather be based on design-based estimates and on OA (measured from metadata). -Earlier differences in text sources suggest heterogeneity by journal, thereby implicating also publisher variance [@scogginsMeasuringTransparencySocial2024]. @fig-osp-time-by-publisher visualizes OA shares over time for the 12 most prolific publishers in the sample (listed in the caption). Leveraging larger $n$, the author fit simple OLS trends to annual OA proportions. The four most prolific publishers show clear increases. Four publishers do not: Oxford University Press, Emerald, ASCE, and MDPI. MDPI remains at 100% OA, Emerald at 0% in this sample; ASCE shows an apparent decline consistent with limited observations; Oxford University Press is relatively stable. All observed increases are highly statistically significant. Future work should use models designed for proportions (e.g., binomial GLMs) and, ideally, hierarchical pooling across publishers and years. - ```{r} #| tbl-cap: Observed and Adjusted Prevalence of Open Science Practices among Statistical Inference Papers #| label: tbl-osp-prev @@ -915,11 +932,11 @@ if(output_format == "pdf/tex") { ~ stringr::str_replace_all(.x, "\\\\([%&_{}#])", "\\1")) ) %>% flextable() %>% - set_table_properties(width = 1, layout = "autofit") %>% + set_table_properties(width = 1) %>% theme_booktabs(bold_header = TRUE) %>% align(align = "center", part = "all") %>% fontsize(size = 11, part = "header") %>% - fontsize(size = 10, part = "body") %>% + fontsize(size = 9, part = "body") %>% footnote( i = 1, j = 4:7, @@ -935,7 +952,10 @@ if(output_format == "pdf/tex") { ref_symbols = c("a", "b", "c", "d") ) %>% fontsize(size = 9, part = "footer") %>% - width(j = 1:3, 1.85) %>% + width(1, 3.13, unit = "cm") %>% + width(2:3, 3.62, unit = "cm") %>% + width(4:7, 1.5, unit = "cm") %>% + autofit() %>% colformat_double( big.mark = ",", digits = 2, na_str = "N/A" ) @@ -949,15 +969,7 @@ if (isTRUE(debug_mode)) { } ``` -This study was deliberately scoped as a pilot, which constrained coverage, precision, and tooling. The population assessed was limited to SI papers from the top 100 JCR journals in criminology and legal psychology and to Crossref metadata, so venue and index biases remain. The 2013-2023 window omits the most recent changes. Keyword screening did not fully exclude non-target items, and a Quarto "freeze" configuration led to using print over online dates in some cases. Full-text retrieval was partial and legally bounded to TDM-permitted publishers; short documents (<1,000 words) were treated as missing full text, risking misclassification. - -Measurement and modeling challenges were substantial. SI/OSP labels were trained on a small, single-coder hand set plus GPT assistance. Severe class imbalance for OSPs, few validation positives, and upsampling inflated nominal accuracy while depressing stability. Misclassification adjustments (Rogan-Gladen) became unstable at very low prevalences, and some OA trend analyses used simple OLS rather than binomial/GLM approaches. - -In the methodological report, comparing basic text characteristics between OSP-labeled papers and non-OSP papers revealed non-independence (e.g., differences in word count, Flesch score, and text source), despite the assumption that such features should not vary with true OSP status. This pattern indicates likely misclassification and/or model leakage, with classifiers picking up irrelevant proxies (publisher templates, document length) rather than OSP content. - -I therefore propose a series of recommendations for future iterations, that should expand bibliographic metadata sources (Crossref + Scopus and Web of Science) and further audit screened-out records to assess selection, operationalizations with sharper rules more close to the constructs defined by e.g. OSF, employ multi-coder assessment, and quantify inter-rater-reliability on a larger training data base OR classify leveraging ChatGPT as implied by the very accurate precisions evident here and replace OLS with binomial GLMs or hierarchical models for proportions. On the technicals side, a more stringent Quarto setup should be used, with simplified modular code based on a refined version of the codebase used here. The downloader should be improved in terms of a more homogeneous extraction logic by including the HTML and PDF full-text extraction in the pre-processing pipeline, making the whole process more transparent, reproducible and less error-prone. Finally, the sample size should be increased substantially, ideally to the full population of SI papers in the frame, to improve precision and enable analysis on journal level. - -Despite of all the limitations, there are main substantive implications: OSP prevalence signals in SI papers-especially preregistration and OM-are rare enough that model-based estimation is fragile at this scale, whereas OA, measured from metadata, shows a clear upward trend approaching roughly half of SI outputs by 2023. Methodologically, GPT proves to be a promising primary coder for a scaled follow-up, and the pipeline developed here provides a reproducible, yet improvable foundation for a larger, better-powered study. +Earlier differences in text sources suggest heterogeneity by journal, thereby implicating also publisher variance [@scogginsMeasuringTransparencySocial2024]. @fig-osp-time-by-publisher visualizes OA shares over time for the 12 most prolific publishers in the sample (listed in the caption). Leveraging larger $n$, the author fit simple OLS trends to annual OA proportions. The four most prolific publishers show clear increases. Four publishers do not: Oxford University Press, Emerald, ASCE, and MDPI. MDPI remains at 100% OA, Emerald at 0% in this sample; ASCE shows an apparent decline consistent with limited observations; Oxford University Press is relatively stable. All observed increases are highly statistically significant. Future work should use models designed for proportions (e.g., binomial GLMs) and, ideally, hierarchical pooling across publishers and years. ```{=latex} \footnotesize @@ -1110,6 +1122,16 @@ if (isTRUE(debug_mode)) { \normalsize ``` +This study was deliberately scoped as a pilot, which constrained coverage, precision, and tooling. The population assessed was limited to SI papers from the top 100 JCR journals in criminology and legal psychology and to Crossref metadata, so venue and index biases remain. The 2013-2023 window omits the most recent changes. Keyword screening did not fully exclude non-target items, and a Quarto "freeze" configuration led to using print over online dates in some cases. Full-text retrieval was partial and legally bounded to TDM-permitted publishers; short documents (<1,000 words) were treated as missing full text, risking misclassification. + +Measurement and modeling challenges were substantial. SI/OSP labels were trained on a small, single-coder hand set plus GPT assistance. Severe class imbalance for OSPs, few validation positives, and upsampling inflated nominal accuracy while depressing stability. Misclassification adjustments (Rogan-Gladen) became unstable at very low prevalences, and some OA trend analyses used simple OLS rather than binomial/GLM approaches. + +In the methodological report, comparing basic text characteristics between OSP-labeled papers and non-OSP papers revealed non-independence (e.g., differences in word count, Flesch score, and text source), despite the assumption that such features should not vary with true OSP status. This pattern indicates likely misclassification and/or model leakage, with classifiers picking up irrelevant proxies (publisher templates, document length) rather than OSP content. + +I therefore propose a series of recommendations for future iterations, that should expand bibliographic metadata sources (Crossref + Scopus and Web of Science) and further audit screened-out records to assess selection, operationalizations with sharper rules more close to the constructs defined by e.g. OSF, employ multi-coder assessment, and quantify inter-rater-reliability on a larger training data base OR classify leveraging ChatGPT as implied by the very accurate precisions evident here and replace OLS with binomial GLMs or hierarchical models for proportions. On the technicals side, a more stringent Quarto setup should be used, with simplified modular code based on a refined version of the codebase used here. The downloader should be improved in terms of a more homogeneous extraction logic by including the HTML and PDF full-text extraction in the pre-processing pipeline, making the whole process more transparent, reproducible and less error-prone. Finally, the sample size should be increased substantially, ideally to the full population of SI papers in the frame, to improve precision and enable analysis on journal level. + +Despite of all the limitations, there are main substantive implications: OSP prevalence signals in SI papers-especially preregistration and OM-are rare enough that model-based estimation is fragile at this scale, whereas OA, measured from metadata, shows a clear upward trend approaching roughly half of SI outputs by 2023. Methodologically, GPT proves to be a promising primary coder for a scaled follow-up, and the pipeline developed here provides a reproducible, yet improvable foundation for a larger, better-powered study. + # Conclusion The replication crisis has intensified the examination of research practices and accelerated the push for transparency and openness. This study contributes by mapping the adoption of open-science practices (OSP) within criminology and legal psychology, establishing a baseline for future efforts. The evidence indicates meaningful progress in availability-most clearly in OA-yet massive, persistent gaps in reproducibility, particularly for OD, OM, and preregistration. @@ -1128,11 +1150,11 @@ To make sure, that our results are robust, reliable and credible, this work shal \renewcommand\thesection{} ``` -# Acknowlegments +# Acknowlegments {.unnumbered} -I would like to thank my advisor, [Advisor Name], for their guidance, constructive feedback, and steady support throughout this project. Their expertise and encouragement were invaluable in shaping both the research and this publication. +I would like to thank my advisor, [Advisor Name], for his guidance, constructive feedback, and steady support throughout this project. His expertise and encouragement were invaluable in shaping both the research and this publication. -# Data availability +# Data availability {.unnumbered} Materials, Data and Code are made available at a public OSF-repository that can be accessed here: @@ -1140,19 +1162,15 @@ Materials, Data and Code are made available at a public OSF-repository that can Further instructions can be found in the README files. Full-text data and the downloader can't be made available to the public due to copyright concerns. -# Funding +# Funding {.unnumbered} This research received no external funding. -# Conflicts of Interest +# Conflict of interest {.unnumbered} -The author declares no conflicts of interest. +One of the editors of this special issue participated as an academic advisor. -# Conflict of interest - -One of the editors of this issue participated as an academic advisor. - -# Author Biography +# Author Biography {.unnumbered} Michael Beck is finishing his MSc in Sociology and Social Research at the University of Cologne, Germany. He is interested in computational social science and supports research as a student assistant at the German Institute for Adult Education (Bonn), focusing on evaluating generative AI for education and educational research. @@ -1160,7 +1178,7 @@ Michael Beck is finishing his MSc in Sociology and Social Research at the Univer \newpage ``` -# Bibliography +# Bibliography {.unnumbered} ::: {#refs} :::