From c5e7b234b48e843964ef2797d2c62682da8908c9 Mon Sep 17 00:00:00 2001 From: root Date: Fri, 6 Feb 2026 12:20:16 +0100 Subject: [PATCH] first commit --- Dockerfile | 33 + app/DejaVuSans-Bold.ttf | Bin 0 -> 672300 bytes app/__pycache__/__init__.cpython-310.pyc | Bin 0 -> 139 bytes app/__pycache__/api_client.cpython-310.pyc | Bin 0 -> 578 bytes app/__pycache__/auth.cpython-310.pyc | Bin 0 -> 1408 bytes app/__pycache__/beacons.cpython-310.pyc | Bin 0 -> 1300 bytes app/__pycache__/fingerprint.cpython-310.pyc | Bin 0 -> 2774 bytes app/__pycache__/gateways.cpython-310.pyc | Bin 0 -> 893 bytes app/__pycache__/main.cpython-310.pyc | Bin 0 -> 17492 bytes app/__pycache__/normalize.cpython-310.pyc | Bin 0 -> 951 bytes app/__pycache__/settings.cpython-310.pyc | Bin 0 -> 1222 bytes app/__pycache__/tls.cpython-310.pyc | Bin 0 -> 377 bytes app/api_client.py | 13 + app/auth.py | 49 + app/beacons.py | 51 + app/csv_config.py | 66 + app/debug_dump.py | 10 + app/fingerprint.py | 127 + app/gateways.py | 30 + app/infer_mode.py | 202 + app/leaflet_bridge.js | 58 + app/logger_utils.py | 36 + app/main.py | 817 ++ app/map_manager.py | 49 + app/map_manager.py_v1 | 145 + app/map_manager.py_v2 | 49 + app/mqtt_client.py | 50 + app/mqtt_parser.py | 69 + app/normalize.py | 46 + app/online_monitor.py | 82 + app/settings.py | 32 + app/tls.py | 5 + app/train_collect.py | 349 + app/train_mode.py | 419 + app/web_beacon.py | 88 + app/web_gateway.py | 48 + app/web_inference.py | 100 + app/web_status.py | 128 + app/web_suite.py | 181 + app/web_training_data.py | 72 + config/config.yaml | 113 + config/secrets.yaml | 4 + data/.web_state | 1 + data/config/beacons.csv | 6 + data/config/gateway.csv | 17 + data/infer/infer.csv | 13 + data/maps/floor_0.png | Bin 0 -> 541161 bytes data/maps/floor_1.png | Bin 0 -> 569811 bytes data/maps/meta_0.json | 1 + data/maps/meta_1.json | 1 + data/model/model.joblib | Bin 0 -> 3087 bytes data/model/model_1770027181.joblib | Bin 0 -> 2231 bytes data/model/model_1770027851.joblib | Bin 0 -> 2316 bytes data/model/model_1770047673.joblib | Bin 0 -> 2316 bytes data/model/model_1770051207.joblib | Bin 0 -> 2316 bytes data/model/model_1770167688.joblib | Bin 0 -> 2316 bytes data/model/model_1770167694.joblib | Bin 0 -> 2316 bytes data/model/model_1770196914.joblib | Bin 0 -> 2316 bytes data/model/model_1770196917.joblib | Bin 0 -> 2316 bytes data/model/model_1770207345.joblib | Bin 0 -> 2316 bytes data/model/model_1770207346.joblib | Bin 0 -> 2316 bytes data/model/model_1770207359.joblib | Bin 0 -> 2316 bytes data/model/model_1770207362.joblib | Bin 0 -> 2316 bytes data/model/model_1770224119.joblib | Bin 0 -> 2316 bytes data/model/model_1770302194.joblib | Bin 0 -> 3087 bytes data/model/model_1770302198.joblib | Bin 0 -> 3231 bytes data/model/model_1770302200.joblib | Bin 0 -> 3231 bytes data/model/model_1770302354.joblib | Bin 0 -> 3231 bytes data/model/model_1770302511.joblib | Bin 0 -> 3231 bytes data/train/jobs/done/0_1450_500.csv | 2 + data/train/jobs/done/0_1550_850.csv | 2 + data/train/jobs/done/1_1050_1450.csv | 2 + data/train/jobs/done/1_1250_600.csv | 2 + data/train/jobs/pending/1_1600_450.csv | 2 + data/train/samples/0_1250_600.csv | 2 + data/train/samples/0_1350_700.csv | 2 + data/train/samples/0_1450_500.csv | 2 + data/train/samples/0_1550_850.csv | 2 + data/train/samples/1_1050_1450.csv | 2 + data/train/samples/1_1195_1315.csv | 2 + data/train/samples/1_1400_1530.csv | 2 + data/train/samples/1_1425_1050.csv | 2 + data/train/samples/1_800_1050.csv | 2 + data/train/samples/1_850_1545.csv | 2 + docker-compose.yml | 20 + entrypoint.sh | 12 + note.txt | 466 + requirements.txt | 14 + tmp/main_process.log | 8687 +++++++++++++++++++ 89 files changed, 12789 insertions(+) create mode 100644 Dockerfile create mode 100644 app/DejaVuSans-Bold.ttf create mode 100644 app/__pycache__/__init__.cpython-310.pyc create mode 100644 app/__pycache__/api_client.cpython-310.pyc create mode 100644 app/__pycache__/auth.cpython-310.pyc create mode 100644 app/__pycache__/beacons.cpython-310.pyc create mode 100644 app/__pycache__/fingerprint.cpython-310.pyc create mode 100644 app/__pycache__/gateways.cpython-310.pyc create mode 100644 app/__pycache__/main.cpython-310.pyc create mode 100644 app/__pycache__/normalize.cpython-310.pyc create mode 100644 app/__pycache__/settings.cpython-310.pyc create mode 100644 app/__pycache__/tls.cpython-310.pyc create mode 100644 app/api_client.py create mode 100644 app/auth.py create mode 100644 app/beacons.py create mode 100644 app/csv_config.py create mode 100644 app/debug_dump.py create mode 100644 app/fingerprint.py create mode 100644 app/gateways.py create mode 100644 app/infer_mode.py create mode 100644 app/leaflet_bridge.js create mode 100644 app/logger_utils.py create mode 100644 app/main.py create mode 100644 app/map_manager.py create mode 100644 app/map_manager.py_v1 create mode 100644 app/map_manager.py_v2 create mode 100644 app/mqtt_client.py create mode 100644 app/mqtt_parser.py create mode 100644 app/normalize.py create mode 100644 app/online_monitor.py create mode 100644 app/settings.py create mode 100644 app/tls.py create mode 100644 app/train_collect.py create mode 100644 app/train_mode.py create mode 100644 app/web_beacon.py create mode 100644 app/web_gateway.py create mode 100644 app/web_inference.py create mode 100644 app/web_status.py create mode 100644 app/web_suite.py create mode 100644 app/web_training_data.py create mode 100644 config/config.yaml create mode 100644 config/secrets.yaml create mode 100644 data/.web_state create mode 100755 data/config/beacons.csv create mode 100755 data/config/gateway.csv create mode 100644 data/infer/infer.csv create mode 100644 data/maps/floor_0.png create mode 100644 data/maps/floor_1.png create mode 100644 data/maps/meta_0.json create mode 100644 data/maps/meta_1.json create mode 100644 data/model/model.joblib create mode 100644 data/model/model_1770027181.joblib create mode 100644 data/model/model_1770027851.joblib create mode 100644 data/model/model_1770047673.joblib create mode 100644 data/model/model_1770051207.joblib create mode 100644 data/model/model_1770167688.joblib create mode 100644 data/model/model_1770167694.joblib create mode 100644 data/model/model_1770196914.joblib create mode 100644 data/model/model_1770196917.joblib create mode 100644 data/model/model_1770207345.joblib create mode 100644 data/model/model_1770207346.joblib create mode 100644 data/model/model_1770207359.joblib create mode 100644 data/model/model_1770207362.joblib create mode 100644 data/model/model_1770224119.joblib create mode 100644 data/model/model_1770302194.joblib create mode 100644 data/model/model_1770302198.joblib create mode 100644 data/model/model_1770302200.joblib create mode 100644 data/model/model_1770302354.joblib create mode 100644 data/model/model_1770302511.joblib create mode 100755 data/train/jobs/done/0_1450_500.csv create mode 100755 data/train/jobs/done/0_1550_850.csv create mode 100755 data/train/jobs/done/1_1050_1450.csv create mode 100755 data/train/jobs/done/1_1250_600.csv create mode 100755 data/train/jobs/pending/1_1600_450.csv create mode 100755 data/train/samples/0_1250_600.csv create mode 100755 data/train/samples/0_1350_700.csv create mode 100755 data/train/samples/0_1450_500.csv create mode 100755 data/train/samples/0_1550_850.csv create mode 100755 data/train/samples/1_1050_1450.csv create mode 100755 data/train/samples/1_1195_1315.csv create mode 100755 data/train/samples/1_1400_1530.csv create mode 100755 data/train/samples/1_1425_1050.csv create mode 100755 data/train/samples/1_800_1050.csv create mode 100755 data/train/samples/1_850_1545.csv create mode 100644 docker-compose.yml create mode 100755 entrypoint.sh create mode 100644 note.txt create mode 100644 requirements.txt create mode 100644 tmp/main_process.log diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..7952b04 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,33 @@ +FROM python:3.10-slim +ENV PYTHONUNBUFFERED=1 + +# dipendenze native utili a numpy/scikit (safe choice) +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential gcc g++ \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +COPY requirements.txt /app/requirements.txt +RUN pip install --no-cache-dir -r /app/requirements.txt + +# Correzione nome pacchetto e upgrade pip +RUN pip install --no-cache-dir --upgrade pip +RUN pip install streamlit==1.29.0 streamlit-drawable-canvas==0.9.3 PyYAML Pillow pandas +RUN pip install --no-cache-dir folium streamlit-folium +RUN pip install --no-cache-dir psutil + +COPY app/ /app/app/ +COPY entrypoint.sh /app/entrypoint.sh +RUN chmod +x /app/entrypoint.sh + +# utente non-root +RUN useradd -m appuser +USER appuser + +# cartelle dati/modelli (volumi) +RUN mkdir -p /home/appuser/data /home/appuser/models +ENV DATA_DIR=/home/appuser/data +ENV MODELS_DIR=/home/appuser/models + +ENTRYPOINT ["/app/entrypoint.sh"] diff --git a/app/DejaVuSans-Bold.ttf b/app/DejaVuSans-Bold.ttf new file mode 100644 index 0000000000000000000000000000000000000000..0f4d5e9d484c3b42f473956a1d5726c96357fc9a GIT binary patch literal 672300 zcmeFa4V+HZ7C*lCd3#>Y^Ln0n4tbkl#th>nNs=o`lDs!0Nz8bEoiro~*OeqmlH^Kq zrI`|vBuSDam86nzM~)Vrx;hfZ&dZBUUh zbuwe)x8Kz1*5;cAUAu&_iP?-reH}VoUjJC@na?ox_aV5xOYfmM!)gqlHyyt>;Cx~4 zkt0%?zHx<{v6q)YUgv(p`VYNB8GMwnP!7<1uZ%WOXA(J&607l^DDjo296Mm-+7&>B9)s(h?5^P>^yD4;n5XMm#=d@NSYF>@V{#UJ$GnXvGUh74H9~uAkg7vTrft(4+W zoC%RUc@-W;3pp z(<(AmtEBrF*ZsPmDSAK;f)44IF;%aiR{&j6uME11UIlcro(wugPXk?DuMRq0Zwc*wO=ODop!Fc= zN!BE$S`S64GagBgq%$>=5y=2uBT@r&%}6b#L~2KBgHtDRHRwi>#h{l&R)Bsjx|;Fm zo6!wSjlLH}eMJkSg`f}F$iH2|uF6!qntea$G4>eHW9_eCKN?wwv?MRzp|oa6En2qi z%tq(r<@92ca`J}evKM;glbF=b?j#4rbj6_aQt8 za=Gvv(6OIF9lAD9CO7lYIUk+#GLu4SIYoA)AooF*!fLR3tPyL*TC*(HjrC%KSRNbA zCa@W74rFm06B6Mzgpi@kO@v!0RMhT952TBjW&q_x=o=%$lzoz4b)Wp5x|H<58!0lp zrXhuT;~m!-*G+0xzQaM31St$?D8sQMA*~)u2X4&ZlTfYzOF|A<4E_jso51IG;k>Hf zqmR;9+$LW97r^8=Vv@6+_?J9P%odVzSd*TZ1WC74?vmSsx z0AW|d03!io022U{0n-380doNJ0r`N%faQQyfVBWBjV5|8_U|!2_3z_ciX0h-Rf5;y zEDiN3Y@DCVJof@9jvj+E#b|EaKvv~NE<-pw1YrWB#+xEeS6pe3g;hYiNN4cf=WcSr zcFrZc<^ZR=mIK#uJxmz3AkQ)bJycWUI-{9!z0m?`$exK&>!^TKQUK|I+JO3iMz}Il zL*D|7ngw1BTt^#2^f4L*R^1zvz$rJ;3pWL;Qyw9f%7myJLR9nU7Qsc5CM**vz8 zEn>^qO16frXPej-whgwummOe-*)evC#kj`3Jj88YiSZaax2FWh(3;N01&*=pH$S>`B#1kju=b%>B{nSWhJ^YnXar# zS5{-GsLM-h6O4U`xLX0+0lNYF00#j_0LKBRVT=gijo>~37N9(!3Lp)T38)8X2*8M& zHwUx=vHNv;mvs~-kx{n-FPdAycz?F@VS`L5A7soz^2c`@EhlGHVcjmEv@(} zc`bYqI1&@bCA?6~fCQxVIMLK*#5gy`gy)xMi!o{oG%(ImOLj$yXxw8A5(ZR)5wmP= zB}e8580pFs&%@4ZWt?*{{j^B^_hO?w+Lwhpne`Z?98r#dKB^pL5#?v)XO^V=g1eL` z?oUoKTREegW94vvqOc08hP#wXbWc*5?nbK6_&$Y3?dcddzsc%E--^D)>PFwj82WM= zJzqs*WifK_pO@axNKd3xj#4U5DP2Y>Ric!n^kkA=okr!gNn%5ics2a>f1|xJo{c8a z4}hMC=K)3m#sMY*rU0e`W&!2`764uVECs9ptOl$DYy@ludaJM1xxtO4f@d=_O-r=An#~JgtX?ZO$QYn_{Ocyl9 z4Kb#p2Sw_|@r!d(oI@F>IJd>p5YtH)=cg#XknE(L@r%I@1^0DFt$W5?8BJV zLjT&~- z6=`~=UQchRH_@Bxt@QSoi|D3j>;3d0dLHf~#_1FFDVU9zrO(wD=r8C?^%eSReVx8h z->iS8@6h+?`}IQosD45}Ybb`>2pCC51tY~sH)79gQwVccYgvz{oX5 z7^98x#w25^F~gW`%rh1mi;QK)N@I<&-q>VpF}4}IjJ?JIFS7TQ*S4&r0SC*@*tB0$PYmjT0You$8Yl3UCYnp4OYmRHaE8n%)wcNGJ zwbr%4^`UF4YrAW=YoF_&>xk>P>$ID>4Y$v2xy!q&xYOL3?t1Qq?k4W$?pE&h?#}LR z?re8I_YilUdz5>ed!l=ad%Am;d#-zd`vvz>_X_uF_d54R_h$EJ?j7zu?)~mU_fhu= z_gRnPaeD%uBu@oTiYMJu+f(1u$kWu*!qeK*(bL7#-P6l6z?174;Ti22@0sM8>Y3r0 z?V0CU=vm}h=2_`k<5}<7p9>#>^bH+<%xMUuh$#$+TKduYTg>&y50uf z#@=S$mfp7BEN@qD4{smuAn!2mNbeZ$1n*?;H1ACB9PfN@zIU;Axp$R!t#^a>L+@7a zcJFTQKJP*A5$|#DX_J|T=`$^}yjjIeGc(P4W<#@y+1zYpwl_PQ-OOyWpE<R@zHPo;zP-K!zQev_zEi%KU-NtYA;0af(BCc_4n}i z@elG3^N;k8@lWti_D}QA^w06n_viZ;`6p@_V4o_^dIpb_n!{1 zfD!NotU&odl|Wh`Gf*$kFwi8>JkTo8KF~SPEs!1P7Z?)A3ycbk3rq}52}}>n3d{{G z2)qzj8dwon9atCG7}y;6EU+W6C$K+I7&sa@5jY!Eg6?1-m=vrKObMn3YX|EG8wHyN zTLfDNI|jQ1y9av(2LyA2BZ8xYtvxD=33xkV-%YrL|Yl7>8n}S<{+k(4- zdxHmphl9t0r-HGN7V?HdAv;tlR4r5^R5#Qh)Hu{E)H2jIloje4>JjP_8Wb898W|cB znh=^CniiTFniHBI$`36LEf1{RXMhrdA89wbjw;Vs*EA zSp%$GYlJo08jl&nsn!f@wl&XMXf3jqSu3qI)_QA`wZ+=zu~llnQr%H3kNhW8X$%@XrB z@~rwvY#OfZivEeKpEz)BaSyLLu#zs$CU93FN9lTQB=8gw^8)w@ici=nN1YgN1j#9s zlLQ^ZSe#!+DP{>;=11mP=2p$3_%es`T4!!Qk!NFrOG@F0FV8y4QYt@X_=z&si}gTG z>cxf?W2u45V++7>YD3aRI+2>WRD3b*NxoBiq$}-8kspbrCbcU?EtJw~k#0quPNX_5 z!b0;>=g%arIzP@cLcaRUxfaFOridC*2cN~bN}Wi2sw32k;7>ef0TZo_qqIn$rR$F7 z3(3ZKAF@?x;a3oiQ8x7X4#rSLxNiwZ{Z`Pp3TN@`M8pvz9ImV)e5Js6ULrVRK*CjO zrwM5!S*7-+&L;`am&C+us<`SFx=NlUtW2O(h@Uu{ur6Uyd_f6Te>b1>Lw3s-P}?Nz zYxnt!qQC45D;h>Nw0OKvGn zTjkS*t|Y!FUs@?)#ZSJ7@I~V%?6$_)EBJy~_hQ_G>fMQJOAgtUlV6G^kKIG!G7>1JQpV?(_5X={QZL}_ z3yShdl4U6zeTVELBzBf1;iaj5f42>nvPq#I*dB0c+Y|Xw)(Ctt{ssK-Z+l~>zdb_r zEAgf9*GPLH?2PZ^J9<6-G1&=WKmabI% zPektznX<)+6w7+r+GkrAS(MYRB>nF=4v**P>(w$kENV?9tsWyK;dRL}We@1YitG)Y zSoVxgEPE>_cJ`PTqh(L(#ARa29@dFvZ|lUe=XK&lFD(0FiC0m7>crGLD-JAsYA2Sx zwiC-9+=)w#4P^eEdLTN{%gesr+2cEUc9nX6Cw8Wrpvy>>V*n>kj3u0s%g~8Ygd9th z8BsW;m7*^;=KO7+CasG+lGc~ThlJ&rT_5ef)>ucFUpUS%k zFKPY6C9RG4L((uCg}eDkHO!>9)8=Xmv=_9c+6ry8wocoqZPq^1c4&LF{aT@RR6C)a z)fL^1b%9A(511mXNw2Rr(wpin^wxSuy^G#m@1+mWbFp@1G*8 zsNwRtELV9~6<3-o(^b#a(AC7%+||m}-qqRF&6Vxy=NjV5bB%J1b4_$jaZPv4a?N!u zaJ}GK>RRDi?ONyB=-TZ1%(cU{$F<*8=sM~;;X3P9+-`Tko#d|IPI0HZYrE^a8@Zdh zTew@hJG#5LySsb22e@EY?)8RQw}8R;40 znc$i1ndX`4nd6!7$@eVwEcdMPto3a0eCXNg+3wlx+2=XvIpR6)IqhX$!|U@}-tyim z-ZXEfx1P75w~4p8x0ScOx3jmKH{09KJH(sk9pxS8o#>t7o$j6Go$FoTeZjlbyTZHL zyUx4OyV?7hcZYY6cfYsLd(?Zvd)8D;w;3>#u<|m+OgC$r_02|RQ?rHH+U#g{F}s_+ z%mHSuIl>%mjyETnQ?c%HwmHvSXf86BnJdjT=6Z9Jxy9UO?lSk92h79fG4qre^JzY> zFXXd*m3-BFHGFk_4SbD#&3r9=ZGBn3uD%|=KE6S|VZM>RF}?}D$-Zg6nZ7x``M!ML zV&8J#D&Jb)2H%Iit-kHP-M)RkgT5oaUw zU}|7SV0K_$U}0cUU|C>gU`=3sU{hdAU|V2UU~k|+;Beqr;8Y+M)Pmk%2wiBUV6|Y4 zVBKJYVB=u3V9Q|JU{lfa9{9X@JR4@@N|fUjF2y6h02GjgwjHpp?aZ)p(df`p;n>xq0XUhq3lq< z(2!7GXjEuiXkuteXnJT?Xl`gh=!MYI(2CIN(7MpZ(B{x*p&g+;q5Yx4(9zI|(AlsO zc83Guq;Q3BN;o}SJ6u29DBLvMBHTLMG2A8GJ=`liAe5gr{LAD$GR8lDlJ9iA6n z7+w@!7G4=%6J8(Q6y6fv7Ty)!8$J*|96lC46^>b&<+VbVZB??WSv9P>Rs*ZC)y!&X zwY9RWu2v7L54@yX>rsryYdz7&{8MWS+*7Qd;5}(Y-Q7B#3i6(!zfsclq#|1VL_G-l zxHehbqp2$e7Ehp+HG*G+b@cT7xQr=iH3h2}fVB#UGX*{9h42%Umc;3r=yB8a`E-@Y z+i{UYH3dBuSB{AMs97R)<%otJ8fj&LzFVZCq!UfJIJe^3Pw1*ow8MfHc>`W7u#;0l zD{I7>YGAtSbe7I&Cio>BtWX4}sJv8a$%$$Eiuo~-a~{(d5eAL2uEy+-Iq8z*w8tPy2Y?iL&+UDjhld#G97M?VUFJ;GNI zo=f;02kz^juO#{o!U2JKPoh61OlLJ8(Tc!occP^7}DmEOyGo_leIf-BjLM_C~Jh|5}QGZ z7J`$&Vl6eVE&K-WAu;)u9um{p9uhm_h@9{q2`nVYIHf$lYb*HV|DC;n;^+&UJpz0$ z{5dordJ2iDzmRb*X6NuWBcOq<0vCB;b+M43H7~-lPm$Ou|M%M=c@^nf)@b=imvAZD zJ1*jI!lnJN=vmM@fJ=GZBUH;0JNh#9AhkQfrQ)xl{!U^?eB=b>O<+gg$3LcfJi^Mw z__BYTLVi`!%_S{*Ojw{ODfOO8b3vDG;i#N7GQ<6Bzr(7PV|PdPjvQ-S5QwRvFxp!*x6%VjFvsA6PJxCdsruy zy{!{d&#O4F?1i0J`IK_>!xo?7PFc_P1<90{d{-%Nb~m*q8l5WF2)b-*O>owTJ_Tb!;IeTN z-oW9niZ~^s8rjRU$3-d^hMs}B$Sd?KFz#-Q`A3Cjp;elNu1vGg z8JIoV%4%XI=598CW}%1EEcD}I7MlG`v(Wd_Ec67Lg`P>X(9h5;^gJ;O%}+s($-g!C zhqq5dM%b{72v&ARjdB;53rxnGomf>h2{08f127vf53mrh2(S#W60ioa92B-n33uy4)nk(ez#L90@>%U83C*MK; zv6)J4u@gw866T95vw#1_UD2HRYPJqDr<*Zrx&t$&`|)}Qt&P#oLTg-y-hhu1{yE+Z zXK6K#o==JW8~fcjfx0CD@fMXajGg1OMQ_uMkbr4AcP5rVFf#8QnyDcQfLA zM4TIm?jE}pm3UClgcYV4Rg4r&oL4g%G4Td-OIE?S6K_sdgf*(-?KHfnrXqd-kOY7i z1IG1E%#&at9B%^oSQV_pZt;iT3xoE=EVF)=a7je>)hW?KvGX)h!& z-dKeW8$pM67`!?oiLd7C_(r~&f5vz4J$yeeBH{TIr~CQMxO=lmSYvGC~=xj8`TpQiK=Hv2Aila*#=u$!^!`)bw>bJI7m+c7uYf%V7A@7vg5 z>vro-Hq@SMPsUs19J@ZGV`m5jX`ycyZy=Y_Q7=5{=6Lg3zAscB-aW1Oopi3O7Vqh) z9@kwMN$wOh#%#dKJA}6-&SKq>)=j*fjQ3^UMOnUJKky*0gED9$eY_QiT`fw|k2&7? zV&m~tlVddF!(IWUQ*WMlBOYnuTI@I?u%w+F1$)21>;Fq&{XN2u3oQA{wpbSAo2)I~ zvi^bn%|+9r;JGr7iRY|5(9l;Gco_5XiNDtqsdLo%YQDNy zU9PTD*Qy)T57n*ec6GP9Pd%s}QID&qHFU?CPqVc0S`{r#%hc*=4Yej(bFG!uUhAxN z)3UXG+7K;I8-@9>iP{uxx;E>7&q4q99Q6O~b5OLB52#K3A*|9ER!tESR2l`Vv`YxQ z0yumO@oA*2-bS3!qBZi-qUEZ03yvc0Ubsr*X!S0l`%z4JEz!#R6!UGuV#Nbjn-acE zV2$FaVtmV$ZwVhDOfeOSzaq}g63nN_I3g!9PQw56ba48JINIeD^F_k%5Z*~~2q*ki zH^EQHByT3y;H#tuqLNT>LBtd#kSr#gz zl%PtTkcK7AN3-WqQhHMd>ve>#R#WOSSCk^wMHZKWlO7T^>(I8WS?moZVp2WIn2OX1 z)l?$4vMxxzD*A|oo>ez`j3S-CLHtDRNUaj*wK7=rsGQSXl*DRF;w0*eu9YQ{T6%&w zQuEYPBrHM3p`Im?&xVwiEMsqy*+X2b9u!#CzIM5!N#=_V{4rfCYvd-P*9oj%L2+&+ zP6EdWWfHv};**nXar&Y6Z?#ta@VDgxiQF3)iX< zN9H*%)&*&ih3I{SOsyH=e8MD0d!6VI;cS8BI&SR(w2-X*O~g^i&#SeFu1;4iCVYdy z`m+LSLj_J~M%vF+#Ggkw>?dg1zLeG!lYEGBipoO1NX@30)O#w_PifcCRSO8eDX{Ee z(F>qW>0O9JJ+-WBMf!@h#HXt``4j#KNuEh^$lf$6OQPM$9(glebqnDnfi+ocL}MQg zk$+jIvQ?7)6CCO4U-SiH{D9*|_A`!_ z>@<#>aIX|(t$372+0DETuftl?onRZ@nzv?cIS$s2-@U9Q9`PX0{$PCX?B_xKEkG zHmHT_A@&~bM_lZE?Mlpvf1r)g#znH=dt8$Jr0&Omimt5$~@*%Z{4=FrQ<`&3rSToitxG zm$FmlYvyY#X1-y*!Q$py=33mCtuxni#oSIVIjK?7&Adxe`=kzhKvGsx79W(C|OWKb6c`p5S-e-r|JD;K+HA&F|69+T0D6d_))?hlD51As|$#Ko4|Z@30ChWdJLUC zP53Ut{Rmepp_TUqt-MWmHSwDgzD!_E#!sTN-x5ARcr`uSm8(y`613Kh_&bSz`9oek}Gz!%SC+UMZ)h8CJBnfw-TqDzyraWgev{^>80azMUjH>qw?3>&2;oU+LO$bQRT|l&nx$6sd=g=`3jj>*$1r zNw>1piM3LsPu^3UP1u;D-W6$MvNok%QQakKS=x-O9cdMmuBuR4q+!)9=tNp?5Z_@Z z2|2G3--)lKt9~fKYD=Oip9*1p7K8;KO9WnM-0CTq4Kr6tSQn{-&l4y84g zvPo%~AJer`hc^+uPGI#4AqT6q1$|8ktw_xfR>=@3wt&F6!u(gY*q8=o1mGmtiQVvfOCeNSnIa0Fp z?bKh$_M(=jm?sI7Cr?PDwUOG7f-kWeCOVB`%3O6MnrcCUQ|R;A68 z$Ix`*ClmgN@OFxG2jLdPan_Nf>Dq)nkQGU9rkdQ!Or2sTtesj`q7R);rI5BQX^DFgKb7!ml1BMaWQ|h}`5Sb0VHqsz zm;8+4?9HX`k{rqp-!5{?w}|gS@HIrABl=l^6V}*}M?{|CGVsT)WsT6jj$p3 z8ex^%vT{;ufwQu264JT0gRadI80#Sgwn}I|*1(EJ^>Ipb9F_en#UD=iErApLAdLX| zeZ-NYLGllYQ6JS>qL(2XlUF51kL0nH1L9gmTE6r-qY&)t@B^Ln#$$V}xa^ zNwh5KA;*cBiuBcF$$DS9wwbtA%O{$0tG!Nii1^upR=fWe%}LKnhKR{`3anJ8tH`&j zH;8MU`BY_%NH6hE5mTEd;v~ET@s-vjO^#%wKcwDJB_A$hsx*3(W9fufTtKP6NvTua z@zE}o$ymbf{4 zAIA+?3G^vui4U^x6SKrO(JXP%{P6Ys2Fwq)!pv|xni=lMJMb*b19#@PVg|S?zY}x6 zJ$X-dC(RP~z+U71SWiBX4`SJTC?Cdp@e$bXxgWou-_Hi~C431RLi5H$Y2G-O=8f;7 zdE>ij-guOHqk1dbsotjE$qKRdt}pvZ9jFdsKdVF3q3jp+EU4EFi>tHM*;rnRd1lVlx$0c5sL!d3xvDNzH*>$bMg4}?#+sNzyg63IoZ&6im>TEp zHBIyIj#{dg%DZ4~Of7z!R#$7tZ`Yb>&3G^E4($%!TkE0q;C-}SS})#L%vbY%+9TQ{ ze1JAXdx8(t3bX<~SbI@>kq^;c(w6X{+H&nxK1_Q}dyVI5uWPUK;bMN9k8t;O59arX z`E5Q%%y09tVt$)X6!Y7Bl9=D-54#_6KfODX1rge8SfP|U={3n_TKPP6w6%#WKcPc?K6Run)X2O+(CR&Exv z;z}DaE3UMK_50{sQep@8qW#t@(=O;$XczRVv!fXRSqfSG_f zfcXGC(Zll|#_{BkuL7(EYyf-+*b3MV*bUeRz)EY5r=0va;50*#0S3Saz%x*#JfI37 z4Uh?_2WSXr0zjD*%xNp_0i6MOlBHw=@H9^u0>}f50*nJp1WW-;7qj8Q6G>cZfADjH ze@@~U(f=`y4O8|YtzlYTF_x(lN2cY>PcbdxQ_NC1bmXTvW=UDDr*d_moG&FzcMWGh zCE8g!C;gi;%jTgh=VCd$1iq3q8#|}4P_ytsR-N|iNB#f5{fm8$uS5-wFO1(Vs6Y1i z8&{@7VmglEzj#jko%lWRg-8`Peg0n@Ps9cM)*mE52I4J@H;KPal3K95IN)Me#h1jV zBR=3i`HN4#pcJu^tK`p7(h}zHqAnz%4I~Hjl&zpmxwdaFjj5E;SqsJ&+*APme4UL9u;&^ED^^U7xB|$I4hv+pU8#$i~nK! zERj(pt0auWn~FcOBUmM<;uK4MNnQerl71l1#dnKC(4s^|l>A)^i&`sFbHdVNOX9D` z4#aaniB$?0_>12I*%xRNCA{-B7pn)CeSr2Zbt^7*__x@p*wNTg!HgY^CksGLC&&GQ6YmahTsz(j zzWG}5Tl_hsNJcS^oq`NN(Vy_=|2O_(r{aSF3q_kk{)#Lxk+k&hf}8MR#VrJ_9Ns^1 zB)Eciu{@Jz&<5hSi=GudUa^%puMjOzwnDVV^YeoCDUXsXE~UlB#d1#6@K(i6y*%^aKf9+(SWkEsBo>7n(x+3;zk9 zB1akL>*>Pr|6g+d6I+Ib{f1TjX{CA;lEiwwOZb!aauKV6&vy387mnpjMATvIJWF?; z|C4A@HrcD7H59doKS}m)ilI>u#s~km{)C6Uc&qvIb5T5=C{>5#G0S+cKP7ePXQ(cv zyg&Q?K}dxLfAjv~{F21I=X3s?-@=FfSH^>4bPW$G+TI`S-_dI}5xqb3k6vH?75DFs zF@ii(rhmt1)X@jZ`YgJmDH2y4I!6Y@%s)toQ6k3IVnj@LCx1jtVx;*Smx>%a$|qww zthV%}zj41@I^y}i6s!Tp)`)lmF%5@;IRt#U9G)&6vkDnFbXF6Gftl@0JVC09!;SIV z<@m~SeH>nPB@Po`lE&V->?$07eDAFx-sHa;M-cN7jUf9P9ASLNxG}TXUvNaQ_dyf9 z>3=PbC}x^l;On(F<0ywWLEGaUOw1#*%kVAu+gSzde%uZF1a!wy317gRgd9%B5oHhK z(6IN!4CHVo_Mh-#Mtcr+Rd^cvP=wgCIFhgnZ2=^|jiVBK2S+9BMX??dHsDaOqryhK zYq|-ChHq$o2)r4GhJ7lw0B^;iW5f^W;(%+Jg5 za_ll*fmZ-skyiwr!c$m)SL4-y(|J0pitljNV3vB zyofw3!jZyW!eQY{r%OPuz)_XGh9iodMOJ|p>)NZaH*ut5pOH1l&s+E&YAV%tMXK+L zRNrZMBluldwW#$p_8yMvRQGB0w4*v%fWbb%5vIB~*e5u`v{pWyeTgHT?ZlDJ{)r=< zeTBoK74zvl%)>05M|cD{2|H9|&>H$0WDPdIj9;i)_obQ(`%wa8X#lgY2(SFrND zKCch{mHbNZui{q$H^dinFXxSTBUX=J!>?gikmUvW^Za>Mou0d-^OyO{$oVe53%S~j z8Rc61C;k&S$1$5+kN?7dVOMzW^W4WS_uTKfA9$>1EUWK1_E+s zT3;Tx;5Cki+QcPt$Wa>g&e#auasANu%s3(+jeH7bMkU}vB^1kLvz{sUU@kK+1B1U zxx?A+-UIsPv4g$u%NxRu_wRdG9=H4F^~E~~19EZ)^7;e%_R8Z;2j}GG@b*J;?n>d^ zhUARM<^6`{j2OVzkU!)>{0Yhhzp1vl zH7kYLo!YlZVKr{e5*S*Dqc70mZT-l11a0wrjxFUNo{-}%{w2OkPAP~L@#oR-XYJZR ze)&#W&4EcKM>;~b*y}ue!7EkBF;E{Dk}7nsL(+xLiPRe~_syN!rLdN52)8BNu0z`t z)}TGnSsie;L8msI5T_Gy5+zlUrU!jp2tAa@p9}R|#Ie9DlOi;#AulHS#H6xkFQ5&l zgbFEHx3pmMa&m@@U<(N^BD}13@1eukO2TUhZ|E~*V1Krm@MnZ~^c$F)!}bu~KR}!< z9GE+B1UpLj1QXc#A6V62gNv@Hk9#m>b$PUEPqIeKsoE8zGhG3A^elOdj~;Tih5o(joY&=vjG%CoK`yKnRJR+A{Q}%g{7nGmvN= zkfE;vLd5gUPlRg`A|>BhdEVbr{`TV`li&xMC&H{m*h@$QANx>Icp6y5i^(u3b``?! zU}NZ2gdG#VCnUlZiLfvcCQ2Sm$O$EUVF+uA#PuNyA&!t3TZUL|Iz+9t!f%cCFk{%| zz7nhAJ>)&alEq$SET#Ayr*oXnaXN=b`tT~{(W{W$1QvBKe|5=w_8oQ)JIC&0_qPYxL+xSqaC@YE zpO7zen~;@ir`t8{+V)BV@4ee{}CiZo9bNfcSmEFc}Z{K2fwr{h$*>~F6 zc5l0%JMLD`&ne=p_Y*s5v~@6&leS73%{Y5#JxdSIO~J2+n5 z@`kcnc@sM;y``*G-d5Hr?_iImca;swdw2r>BffzC6ZTm8SviiclApwL__NA6@f;pc z;UB`gfQRuMzPxssRsrAB-GJxtQ_V-sY35E-eBF5fdgg19jT>>O>?Ry4-7~0oiq!_R z$P>pHq66sLaHtqX%m$vr{sAn;{VI(BRT}%LH0o1n+^^EOU!}31O5=VNV~5WWe;W=J z-eEiN4jd}>uG1iV@OZKwrzD zbGlbi>5Who>wa2+lZBNHDpve-2JXVU06)eb1Ad%84*Udv0{BV(B=ADM5O^_GGpKwi z{H02xO_fHQDt7ULW@xmj!k$cc%uK9N;IONnz^^FpVeg*z72KQQi!1wq3zZ*$#aa$U zIiZ{YeG+f(D%iE_H0U$RInXgB&NN!xp{V!+jRWf?A5z8p?1d^kmwH&m?y#`73QU2m z!I$8R5gXuTA2Fvfg)C0`85@44s6_~$Qki~_%DDj@=(-bg|B0{iz>^x6uC$T ztz5`M3Kx)@Tt;p(V*UI47RfD=e17gy%E%SI|M$q1lFyf0wT#@Vmn2u}cM-Jw67(x{ zT3Wx=F2E7_Esq1O3^h=XYD<*6xUMkn?}cAQwjg8*Js15>rJM-~bx8u&=HQ(8nlSD& zP|w%{(CUpl2L*Qy{T8Mam+`8H&3X1$QrZ zUy_{Cnh|!J(65z;`=1g`lr0fP_<>i2Hq`fkjii4G8a`5immL;q9BC418fg}39%&hA z6=@r3AIXYziFAwfi1do|iS&yMhzyG4M)D#fBcmhZA`>E$B2yyMA~PbhB6A}1A`2q< zkryJ1uxsk4_!9LxYXx>r-DRz^Hdt$-Uq$y?JFIQdZ>-(;9#A3nPMu;ug0EEXw+`A< z?MJO6w%?v+KZadar`wNPhwT~m6ZS0o@Ah2#S$l!~d~}Qbg8h=U*BO;?BV?PI~dztl_{i?mvI%dCNud&~b`0Vx83Hv=OW^b}i+aK8; zdyD<4z0LkI`b9*uciCS>+|h%PBwN&!SMQ{ELK$w=u`j58n|=qz8`&t83#GaXU)j1F zWwWVl-dvXRhRDs44v|ig+ah;FdPW9E?urbL+#9(+^4G`% zk%uCWL>`Mg5qT=|bmZB{bCF==rRe79XVwSSJJxH_9npVUZ&>eHZ$lb^2bcH1A@TkX&7?a^%!)!u3Ej<}-VMIyHOAD5G3ZbaP4*o=IljUGe457w^P@U)=l zn_onaqI37)oT}fWkD^%OzC?J#$ArM4t-lff*9=;Nq~RV$Jk=zSHyv51g8pd zG~C&TkcUe2`(BDS(iYc`AbGi6pR>0|I4vLFY$#4s)L zDt7;CNz{r2rJ$x}gVU5^iQdjF?u{d_;C!>l%fL+{OMt~4h&+S6`*3C%omom};6D>m zT9cGU=)HVMu@YtkYgl7(<;|>vHHN~r*8Pan!4l){ww5UM%>aY>5Kr*O2tM)yKF)Hi zht{EkENF2a+L)WXyJJtnNJEr*G`>p@4Myq%kBZa-zBf`Acx0pw@I8@Qz#}3xfrl5B zLeIjlv3f_~F*@v8zaM!Ja{?7mRcwk81oWc>~JkTo7y z+>L710|`pi4r!-#(MyTDH#eR8EA(?4C^4_+)c znsjYuAgpG>CXpA(Nf)#!JQ?+>=4RwO4fBD>i79GKq@$Uz3iPRhT8{HIFo!7U8K5m1 zAwh?x80TB8tN9d#S%@J@Tn)31a;C8bV!}%O{eihI#xfsWW{?W!JRBt^mq05^+Nr);llU(eAqv|qLGX*_uXpTW^}{%`bHRU z8yk(y#unoX<5$;ru3ucI1J?y61SSS12c`rb4LlWiHt<~F`9MM7rNA43w*ngi8v`E) zb_Tu*y%##0HCQsvajbt~Ud zc~Iq1mG7@Sw(^6O->&>Yl{3lFL;n+q<))vFfBE0VEWwjRq5}h@5|6KJQ*1oZ8F+rWMy>8=#eoqLC z85=Y9W*n*!uj#63*1W#v#F}5!JXG@xZuTl=UYYcK?ecHQzb!vE|Iz#>3+#gAf?5UF6|^bnRB&5C|AGe!rWHJ15dZPA z6Yrfd&XhaT@Jy34P0w6^rp1{KXP!H=x1^ie9eX;DRwtrHr>W0jAO73*9Q|Q@rE#OaRX=JNhNrkjtKwUXqDHe( zqxTip=uvzj@sR5jYV>cY(TAu;X9oTr_y^VKqQH{Cn}Kzx(M^G^f!(3`p{=;7_as$L zx;m*X-g;PhR(keL8hZqDHHwWmg}cK0kdOYLsUf8NQ5~sL>9n(XJUe8M8B9 z$#@SndLZLyO{1o_X0w_P)ZBs^J&ni2KGf*g%%z#X)?&4iYjvufUHiT|^{7Uxp+?u` zx5#gs-!Z>)ey{u~`7;aL1r-ab71S$eSX zfBNO8Pk!2XsP~~>hq4d#Jk;Y*)}fAvIvi?s=*mNv7yerKOX1IjKNbF1_(S30!b63H zh2Ix`S9qZC+rn=O_Z99f{8!-#<5@BaR|@B1ITO1| z;||b zu0gqsa#8&0NpB>rN?I9ti+nLP(*L3Vk7&Rr%HiuHON04N;eX{-niets(ME>(2Z>TQ6o0QBt`vq`}77qvS8vQ?z3 z4g=f^!1E$?Gyrclsd#RsP6SK=;OUh*H38KSP6PY{kP3JXW0L9!uSR$UpbLf(s}bG~ z=m~l+!W_Uupua=-FaR=jq@^R@`n!M-U?bptKpJ2xpb&t0M!d7hbiBo-Uyseek#7U} z)mtL;05C4mTOoud1?a62;%S-y9jl%Uf}f`Qr9z~2B9z{eYG0o0KIBL(3@ zfXSdyz5sMAz(5@Zuntv#0o?{>0-gemIt%JyjjIqY0lWbk^&WT=@D}J62vL^62GBPlggyiq(0^bP;A7D35N-tsJ;6o;&_w_` zFz&?rTJr(#f$oVAaYAQ7KZwttaDWT+a)hY&BvG$OI|;f-LSBTvlaP-jQUBi}M0!bC zpnpZ!8GyXua+ZX=B^81mgzzw9Q7~OkA`AhVf=1hkHUo47y%!;5L=o5Z6GGH`6nSxb z5l#Wj0$mB=d;r>_8#;{ck>I`t;nxz}jTy6B0-z7~Ul8U3MuNT;;dsDY&^V8xu*ylG zdm}{KtBiVck3yIZs0(@$!g_!^KtG1?P5|=ehVCoh3qV}=2MF(%;Qk2VSP9q-l2u0D z1-MZMm7fN{Zr!lW%BZW#xXul~0&`+j&VYvAl0hd&8T0&tusi@6^qL4$05^gTBWwjg zeR`q$WaupUHqh51yj_A9@sjV5;6)jek!Jy3=pq?)oIDn^kTD*x0(5_bD*?!p7kWwF z2>2W{Y%X~_;Gdx1K=>8lN6;uk@-e`1(4QeZ0f>SALb}qFKA=%2DbQ2O-He$xAVfW; zOat8p;dB7fG5aB$4|omqaD=M>NXL8_;a0$>pdUeqJfwUH`cZ_)OUiE0sEZWTwE**R zh9y`459k>Pp|7epgGL%vk)8k(*HvvV!Nm1dp|`527ZYWwiu45dA_$SUROr|Tn@ENJ zQ!iu8KMP?c021-fMwkYu0eT+7T7cT1(S}n|hSYmNKaX&<1pf;Np>F~H7ZE-r!M_OM zObPy%5Izl9ia3iA!ahMd|1QFV68xyMH1rK=sfhm`!fe1m(C;%= zeLR+lLkE87F?~J&`VAaGxDEgrK^MY(5`reff-!&wz7L@R@PG~>6u&b-Lnj$E0c}9n zLkJrb5bT7o10V}@XM|lO1iK;>&;xwfW=0MGWe#Q|gdQ_q294htuK?D9M%gn^h78zW za5cic5^$f-G7bO^f&Ui5qm0#vgGL!@BA+!;j?m`_y#SOW1UszR3~)VY*iFp`024v) zLJYP1H!fd z)K~Z?gdG7$GyF3`W4)UVvQCC`bMjz@u0t1|8?4p7Ngr4ILM_0XAsprl2AK zWwS(x{1l+jRtiGozu-F1P-a0(KpW7F5w-`Q{8lrBu#*C$Yl-uH0R2I?LO33PIfZZlX(>p`e{G#_3;B#eZUMU;Y(^#i!0Aa54VGvw5*%&4rmm4`u{SJX;Ve z%YrO~^=KAWt|hT3=5fp6neAn)0@kNj!k|V>$)uoDtj1C?k1f}|*1#NeCY+L(1s3aH z>#-{?x(2o>_F`#oND)|U-585@Q5GsDv{PxVM|Y z9%N5pB}>%%llK@_-JZef+mq~#0M=^r#%4A1uVy*3yfxao-y3K5VO{Q7Gr%UYsaOmA zD4W6_W7FB=Y#OZuW>^s{RslcFepV(c^Vr?W9OY?cE*q^pt30DT3pAS(XDgK{Z)d|7D|NH;XdFMQePCC`MZ{6j)Z?_DQ&}EnpFrO4- z{#Q8~ufU?}Oqu?B8zNWg@%ebPT*5zsNR~3xX?clZ@p&bG9BasuJdAk`-lgy_kv*8z z1$=u6sSyY$2yc@gg(9|yDdA`G#i;hOgs(-53Y?>~gsH*LBKAX^ptOKL z!7pG+=*Unv2QPeg8?y#A){~hv>>AP?@#5Xt@J@aLFMaGznO5sDK*E=xFt>qqS0G_1@y!V0IvI4R1PvA;6)sE})Zh6h@F`XY)phc?FxL$~N7EL7~ z<37aDpQ2C48GQ@bHO%LT4cd(nGt47oJ6|e|=L5_daSdOB_$jOn^C5d2>oHhgkEP5~ zu^n@T7nvWq{-l)OLRXAQ5e|YJMWw!?i&;hbN)KZuR8wC7TxFQ|;EFkDTxcajvs}fe zaW7)*EW4;_-N=0AI9tSx2W-)61=$4*+J!R=(FK?Kh9n9+#}cMZ#8Jbh^qE+r-cb^H zcSJO+&F}trd9_xSdgFO4J!G{daShaIciA$L(ndc{cqA+A$oN#j=S66HMWwT}c*i~|p84PG%$)fMd=U$v2{o%czzakqazB>v3BiixH zzijL^bl{J}hY!|1B3VM)3?g>w%9BE|b=@mF-c!E$N=^!Bt+NH~oS6RB8@rC!xNbz? zd*pYzU3*>oj&$qR{dPcFx9eX?v?{C_95=wEA%|pwnjbJHB>4SipD&QYykKejLelE= z7ZSu5EUSI4>coV#?fvaC0}3a56h*eTlfz1;Y)@(L`0Q{!rhVxOoi|+x$NAjLozLrc z9G7x{X_7C z^O-qzLYQ=tkw){wQgYH{oX=yCx8MF^UnDzUte^(%l5s~ zTO>JRzp!=!y)h!GR)%UjM*Wk>*f~3|D0Y+0tfZN9;u&xc-me5rL33hG3X^ThHm9U^ zHFY(sQa@8abHD6#+=E^<0pW6uk@Fj<{nD3C&X`2>=pm5iVI?L*pc+FQ#uwocbR z8g*p)*e!zx3~l$^ZQZuscl*3t?yT0O=k{4Uwe!=peKUJ@C!RBZJ~u6YTE|U?gF)@P zoVJ|`l7?#^W#89p?#7G^>=I}msnKbkM>UbBnJR>kA`Ti`KuH~FCx{%WiIF(8uhD+u zcZ(k7ckc$qOfd4~-Y@^CIt7vI#WZYrDK-bH8YiF0wh_Q~o$uc#&&ix*dF zKm9@gZRFt3-)o&d|6GG|2w{VHNyE9fdf$nvm3c|rWV1>prwAiCs7G#nQ^)QCSAKgo zEgJ9g#Ie##i}8ovtkupU?GQdKf{aCBub7Qmk;OSKcFgySc#N^ zg%Q%SNTJ}&bEfd3wv+VjukF~X)%GU?^&eZw0RG@#w^!}bwvdutRonkswUd-+TXyPm zg>EREL2QeeNm3n%^LSYyn+2I?Tr52H^w|xa4+GpUcgAmQ0*F4I2V(E!K4eXeS1vVP zVNC+xc)7muGHa=4p^g(~ruI2oL>>mE@~al^6=sXb@er%rBDUk?F=JQU=pottA(`^a zsfpxa?S!_JRM791lRfNL>{(EL*Bb~q-O3}p1*>iV0lpM1XXiCO#h%qZH`eq+@L&2Y zj&Z)hY=Jz+xDBAm2Jc35JVC3*0~Vog=6W}_UWYOF8!R9UksMt1VSPIPSDX(M(gE~5C89aRkqWeN zIw+AO4kj95ocd30`_zRCr%hY9U>bPc0qs-mw03}~Bn<)SDqBx{7cOYuY8Sr!miV+P zZ6?CS=b|L!3Jqf*%s1E{9%D8!>8gj@&a>NvDv8;y$UZTFV|)TJV|D5e(@|vC=U&!D zmZ($EWfo`jM>0g)L`ET3XUMgBV&abUCSvbv`PvnI?>E9Pa~AXSF-z49CW!jRUWDKT z1%Xcye2i_m-Mr1UmSodLrUIcxa$Wxi~u*SrzDWlMC1AR z>n2jD^A0tY^|p?0?d3Se<`sNiuh*BvBzcp3$dUHu`?@iGg`VD?KKmGy$;7TXL7u>7 zu$mHBYF>n=OqLzUK6CADHrl6WRmI4UA9zT60QmtK4<01}h!g>GuG@p%r!F4QpY+bm zs{iPLk6zd3_{8ozg6D*SrlHg`?(TCqAK-tCWL9RB!J zM?4pf3rCbthNIy;7WHJkLHPlG=P#e95`y+KXg)BH@_jyC_BE!;S{>pLxaN&Fg&9W( zf(4kTNJ__cRXy6JQ6AgLfdCLdzYJskVT9@px# zGWYLk*G{{9`bX_7c><+h?;$Tou%^(=0h^~_S?QsA1wV@;82lWEg2Px&4q`Z*xRT>D zLk0&6yh$3Xl{iAisAh>v5K_5(MCJ)&+))pSlIRosq{iLa6Kq;zJK@ynYdn0i9J2`P zL#t4mAxUR5z0`D{B@HL2Z3{6qS-|p8b&k)YSh!XR_SOlWR3#yh#wFNOqpfm)2%vFv ziDJSsR;(Ut2Q0XG#ZsvF&?;)+s(~JnRuC%?_S}pY?0Ylj&6_d(o_n-~k3Wf=9Vha} z6P7++{X9tG7g)Yep8sjW=#k^cj~qRLU3>4WSrrwt$}1`}wpQ+a=g7Xwtr@NNF8|`I zufABmmkb?IS~_CHxKg_J(=az1_TFdgz2x6!g3h~=-v(IR=2#nFosyU$CAhszQi4_A z`@;8!8?!mJ(F#IzG$;S6^sHdib2GP_fJnU@8EglJv7!CssMkYQ*Z{W>kMw5O{Ycjn?}-=mM;jYkwX zWbdJVaGfM#!7!fAhnvUa&PUOKd=&4d-#@|~zpAyX*V8esYUsv!|vEqHvio*myw(|R_)%}*i-UryE`k# zcWghpZO=iscOxBJr~iHb_~%Cyb?KLNkXi*;<}q!pR4%Ls{tjSfs2weKu6<7b0eN#iVNUt zfCPuu`5oZ2v2gmW!U(DlBr}(=#dfIKKa+HBOVETxbW$YoyKWj zZJu{>O(?_|bX(T>F0?`VU)QOd??AOy z7yC@vreUTsQzcVLD&a6u^HrjHbYy~xP`1fMjYCY!l|p7Yzhmf z6Sd9kflTrQ)=q{OAi@k*Q(VlO_I=`;302CQKDY}wSIA;ld;wnK;zO2rk3)+0b5Zc# zTxwc_0uuu?gVJ5DFUnCBCdrYMoisR!Cu0oCn@OB*odn~JA$4UCr@>`7*Ql{$N1gij zyoz}h|7LqHd>plxK5ksXb|ZzvTgI&zJaE7r+Tq5z<0ssGw>F>kw>nhyuam;5Jtt+a3y8cWh{U*(s>X{S`gwfN!UZgG6`ja|RvFPh*(?6K|kNWz5%>7{corN99 z1~LhD?F}6YwfFmU*M9x>8|~NbeK0PTuB%w2udA17t9qCNN)&vfbzf78UH(ei$gFlCHn3)_kjz1voV-LU%dB6k%33im> zEc#X+rurc`6?oN7hjp-ZwiO7_#I-1!*~8l#?_no5u4Z4lb_PP+=h}C8ZKWEV@r?KJ z428*5oz2e>i2eZZF2D-yKi0i@uz9xmrtX_N*D9O3ZiN3$-&=ZWLJ*eE6n{c|)AlC3 znb^F+iJ^eMoh6USc4vv1Av_BrJ{1WM>*^c`WNfRk;W@SA!dTuE5Vn{g$QxFYroE06Z-g$DyMYg28XHR|8r;-=xruXWpUH{>GO|v^l z5_LN0Yav|G*Sm}AW)H~wVD>e^xEK$1)V$ofV9@z;XDqksp|&KuU>EI@T^?*L#oDj4 zntr$XWC`1W+E^RkrAyTKceV&PJRggs;{f)UEygoBrp+77L6$xT`g6Y;`;dM$jv=F< z<}r-gVT7(;=8&BZK@|oIoW8$%Xs?taVC>hcv@*RPGjp5jHnWU$KsdxySp-=m@vxi# zRQ{{a!<3y;ylS8tB<}Mf6h()nGuKJ#&-If=!8tTWD(5Cs+9^(v zN-dS#{Zgeg+wutisJK<~rm?wfC%GHjPaeXK5K826aw%IT%#>%d_k+Y%%1;Va@~g5N z1~mXYi9)FYZNiY*OtQbR9p~3VjobBAKg&iNiyJPn{Tu6=*Imagf$^$lidQ^|N9a9F zB!}r*pKlWUXlFXwTpI|4(P2cQw86ssL(Ss~Bw1n$2rJWH9IKcVQeZMEDJF?UvKW@b zEGROZG=fQN$D7(Qpl?*E1?j~zuqKD86{%UTpd88IO0ZYjb^W4DVePVA39}w445P8f zl*x8wd$WVs{!)L_aCU?=!Zd{~mm+2!(b5&22wIoSv9~QM7C;b5p_4x-3nG!&cD#gHQ#zuXDU4Y+ z87QbO%)_!>YnP~Pw!KMY%zm*0=|%dA!^jA6uz50>B9@wWlbxc?&n8G+*gUBZCa+3E z*^yEiJ5@64TaOVtjh)}lhRICr&c<{4h~YQKh?xeu<)G`}HzGZIh1%_NRkyg^#ca2% zbyfS6EPElB<;nb=JxMh)ey`i%&-QnP?`8~1GKdYeI&w|6CGZ`ttme?6n%55FwY`|7Z; z0a8t7&?Up-KGUE*J6fv|c`WXa*NwG}@oWZoDI@mbF*P@kz$W^G@m`qIyx#Z}f4s>J zqn)_jQsp(pyM3G^(JwN*6|~*!P^5S>7u47IFcukNk%69copldXGlDkx5`2kRdo>*J z1^fvKfj~lHfu|t8ho?vUFwd~~!J$c>N%5s2d$R!LX91o~dbt0Y*c&?5Cit!!uEoUvTjk(0|xv?bb=MsVhLK7MvzmaB4!Rzl{^rh*?~RzPmb z0vx9?FRQH)4-n^bn#`dv?;&sVp0|D5o&5Hcwa)7FkjWelNKC+Qi5k9fPN}C( zHyw@)dFq1WLbD*4qYjy!L5hM!p`vh6q;IHixNoGyG$uGYG&VdoGBP?Xu{>BFDi2SI zlt*So=b7hO=2;hp7e*FFSDBx)JRe#UUK?2x#aSqt&y$KbZmXhnuF~Q zH(Bmlr8#wF1!l%ei~t4JK|9N;RiesX3^8b8R4B ztM|PJd+;{;cA{^u(=0;`77o~|6{gB1$D4{M|8wbRLm4dW!j#bORFM$B&TYs~hFS;0 z1y&1;0H2xv#FO*EZ4W`edP_S5g1h9+b?e^bDjSw)Z)-9pp1nV0c)-Bg1M#tRb|yrKwZ(Grh(d0yTxc;q-G!JJ@8 zW7BbdX}SQF(UNT|fP9e4=L$Juj+7(kD(x}gF zDcvcLREC6@;*zyrk$bk5M}GdWDb}!1HT4xXUQyWz1AK2_hqd+_UdiEn7+U#%db6S>{%K> zh}xRX%#UghK1cy6h<%_+xtTF5L0Li2G(4sXn7tg7BoS~(GgbkKObWDchBrwEd7{6Q z%tR94$THB)PItgXGkVJ$+PU$Mv-V5%U)&AXkl`W!uj=j z(3-PYGnrYbrr(U094j+2g=bmEOE`V`jzT=sQBsymLj8`rSD zaVZP$AH~kZEBx6cJcc7Z&XzND6kaSqE;xD5+5; zEO2Jo!zIWmT!vi070F%AJ-OcUAoDP8oVna=hxh`6IlP%9I+y>Z;VjqT>P0Tv02S;% z4Tak0|KZ*<#zcM1LByaST1a*9hsBrJ!^|d_FF7aUpy4>jV5`+>t!}`iKGGU?CJe;> z#uZ}RxvT5XVO}kLj|`!{M~>X^JqmC>vbM&bK4)P+SwX#zbS;+ZerWn!L;>NMFX7pn zU~IvY!9b4bMhPkzQTrpEMwI=vaRpov-{9##ofAswb5C$vgbP?tk@2ap2@|FYjspP} z(_^~b?-*z?%B|9htK2Ep@jqIbHu)zOtfmq1DcVOYd@C5c7UUU?+HY-jbotqAswJO< z%hVIir{b-4X5T)v8_Qo}SBPb3H}DPe4s(RZp_yogwoq0XgJ4pIx0m6sA3%FrB}(n! zEbK6X&<}5Mzb=7I;88%vs|)rDC%VgVDl0rh|^*0{R+JFc7z> zvaj~fPAiTSN4usChzy91iHwQPg23@$w~ThrmWF`L%!F?gO5gnekZTlFemf-rsm+SK`n? zZQBxOV( zlNvm}zLZlpC{!AvCao4e4^H=hK}vw-Hx1tZD96m5KYuQwbr$rkt2jYS+LaR(b$zup zr0kn5>(_62W!<`0*i+-jXm4nZxZW5uej|p1e?;FedS;^^9=ZhP7&*z?j#*EdHaPhW zUTjl>)Xj?E@0;yymoFhGE2nN;ppx3!Zpd-ezJ{Qym`I-+&*%49F=*AxFRvQ%oI2#M z!(lVn3jHy=8(S5c<|u zoY1Zi(}{UIHq!OGXa0O{4_oqE{l*ESNgrA|oAepe@E%=3`qIY+_!dl9uQ=#Ox2sXc z^Dm+tlTQlkEaVg4I@eK4bz;E7${s7zoweFKQ8nqZE?)!Vu%qW48deW}&ARMh*C1Uz zPgHkSw^+CcBN%RW!PM}Ub?sAgzF$-cS@Q$!HPR1eDVY>&%kL|l@{ohgD|_(4+q-M^ zIql$F@gkI=Y!V)I^6sEb<1CtYbFW;EH115+f;s)!M^u zjx)jsnj~K{WjCGc5nOWE@T;89rA{guy^}*!VX?GWW-)F!7=pTWfJUDHX$tbVs(1Q# zCb`-_v^BN0$37P0E*5qlc%5lj&y~Wn^2TfW-fBGs8$TaAn+_{rYNDNEJjdcs`q#OF zKnvxlbw~0B*Qd+}Tq@$(ZK@~IP3#26zd;))UYs{}8qRB~v;aL?m$r^se03+G?gr5% z=o^6mTobATwYkmM_T$=RVmV$>+ZSN)snO;t-)$X9?0|TQw!<4D(>p69${>6SBbE5f91nxog!vHC~(!h$`c)_JrTOFR> zZD%j0D167xS%=AzdC#zS?N=Q!o>*~hSVqD{v@naB<34FmgSUL{sx6FW6^Ev#M zn^=KhNR$`CrbH2h8Yh*(N~tniS**a6-((KnM#|_@v^9L`we_e<@)_;(`W~&P-lrKE z1;whLS`XI=$PC>fd}`U`fCcjPsMsj1s5^0=nLagNOgrFGm&#HBtjy~!oSv++Vl zxjWlS=qnFn$HcV`sDX3Jc}O*vEyX@}Jq~gy&@%o7cjWi1EW(v%V2NUTvV( zPg^6#HM~xq2VvbvKGKi_(qcbCZ!nu!f?+quKVfN5S!}kjScq+bzWid`Zx9wK&Td71 zYaQrI3NuyB2zXoyFEJ5O^4ZTsK1k+{hIS+ZapPPT*(&yqv$}eR1JVbMkEbIi=gHljqfPo2SgY^i|_9wzoAg;lAlx z)-`_0_TD}Hl@}UM^QAA1E1hl3PsbU|@Ao*f*djP8$d=J{uua0cTr zP{xo`gfxtU+WoR%_uJrNHdu~QyI(hZf3BOS)9>tlI}6=i{k^E3-YhpzV$#Co#~!?I z(W3h*7A~xShSdY=`dNfeyh(a-3tru@;Z^z~jP|ZpkLz6&Fhyk*f+RB?f3;!4Sd4}8 zyH0BG2ERLMt0rG?JA&YKaQ1-fwU7`T=gLo$h01T(!Wiz!lj#U)67tCgh*{axu>Z7prB8IdBn zlhVo5$=uP>(b`YxYwBz6Yw4}qWOvKEmEES@=G~Uv))bp)lWek0v6-yqLTlHIaTyA= zKQxCOhY64P@|(l!3?p3uB@W)XACD`W(C_Z9#JvwuS69owUo`#Pys6Xr%Qe$D*8Us~p<+ms*59VO^0g%Dp7K2$^N3nqU)T zJGa3}cE}qTlWbO41xVm<*@nRS-R!#3jR*Z|T)L`k(`6SLARCii5K9mKN0|~)eO;NZ zZki6o*&TN0V0JJ!*i*`ua>hg{`;Ck5M4X6#%cmlZlg%S@v}IjJ@6wK+e7&|-cu_la zozYST7G7swKS|EOaDpsJjCnm|LJ{#k)Mp)lKtn8N;y&`~hHZ6CWYkes@0HJfp5{YIU-5t#KD!H@BX%tybs2XZ&r1JB-M4_xdi`nJude|C_>i~Oz{Q%dO`t>6UYWoEST#z&I9>z@)xdc8H5&oH624BFm zCq-NlpM#nUJqfrsUn<`(K1Lqr9upoHS0Q3-HMg2yDXbB9&mNS)B<`ftd5x7g*vz>&FVn?Y^?qKO^>%|)8L`0@oMsUOUVe%+t zhP+(zh!> zqWDjuW)kg9M(^26GVvOX=)(DX_h|F6bqyTf$g>UC)^jY1W*P8n!v2}be6{Bv*%w>d zAaB?jn~aS-Ict)1V#y9&jaJ5UGnBd91IiL^F#>>>DbF#>x#iq*;#y^$vYvZQsp06g zU!m6l?f`c}IiY;OeZZYn&MIGWUvfVvKPbN-aqt)Mx{?dSH;-HdlbcQC6J@t4Y{jPY znQ|)=Hk$7ww>RZjyR-fHesXtHx%E+IF}sX^LR=;?r6OsziDXf;=p=R?`zVOkvpU(TYeBY7#>kcrmTFEAKprJQjz_qlNAyUo zgjQlJiQ-rXu0Sl1ifl!8l=>%qxxR3L^bjYrlf*|^#CM60TOYSQ$F72^vD&)YwuRlw zZRKCFy<-0x*~9JPYm^$(e)F5wH*N2-?_1xuy=VWJy}%YVlQtWURH9+)U6E{Ch9i|2 z5dDl^d!Iisd(>TC;6-EPut-%YJ<-O=jE*?!(4fc3?w1JFxM6zVvG2n(NF}wv0hK zm{!ZzLf31>j727--D4J0lmv$-Xci){XyJH;bIf7#rRT7FQwn^_ib-e{?`Gqeh~H_l z3n_^IJO)0WOJyc1IZ~XO)i_S~c@r&A|h!D$dSZb^PFK=Y~JM`Gu$bfv4AQ zUN)SrJ>j(=`3AYV$aUGNTTfY-S7E@@O|g(7$Twe!!C&D5xM{wnYHm0s5O1-|0kg+% z=YRLgmLLY ztpNC;(?tGQ^StBfG;hp16C2R;si7mw%SR4;KM%BPy77cO`&jXxL8Oxsa9eVI*`?9Y!a**1Q9E&j4g^siyBaCcrF+@qt2I;zD3 z?rMJ95Bk#Y^Ltt3_exa^Tq?Yt-}@N^J{`O-!wesFx}$C!frcQKFzoqxR9|I_$wqB# zaiJPAQ!+DLZR?A3iViDdmSEd6JC8X|S~tXn%^RYjqjA;ot>Vm5 z#AA^hQpn42-2$x~Cz09#P&CZf*c8M=bVjNLwe>-UkHKLM4LpW;M`daRP9oV4#!|dV zcD7=i?U@v3o;yU?eFFy!7)ajlyX-dmi06v#`g2FqM(rxBl+ceil3pvgk!@DYnE7mL zu1NbVC$|v?YGrF@LJ{peiKIi5VJ{QN)nV-%2jWU;!y?2BeuKDx0HdnWcwjRP!gqn( z^4t7t9hPlzvW>ASW+}n$_Ba!1&^8sG_4qzIA8OIb)#m^K+Rz1H^rI$cT*y?(&&zid zAjpzG)AQK@_s$^|+EO;*+N!S(9ny$<^xuTt+P~9M7d^c72RN`{X(c^>*h=ibLdd6j zZ(pVu^#+dU*$-8!4^|CGi1rYZ$nsGo;NgN%;x@P9ZZi=-u*Zkf2@yDr7#BYz1D~2| z&q<7P2Lm47=VEhAA&bk5v|^;(r@0ozE%ZH@#Vj%{6mt;aP!IbhmAk#oGy(A(6n7AE zt$(CLD+O3Iq0MrLlxAdJ7N!+?b?b+>&0P_dXnTCkiBK?*h`$SG z6?C1NePZ=L@b}Kj(W5IXM~``s@>9t1^Wi7*F?DJ;N6_hVQl{#nzZ`ap)nW@;t(FwK z)yy-$c*Qv77nj*#tzs36VCOt8#yJa0R6I$r&N2xzB_xTR1Y*Ffiyw5VlvGfIDl*6$ zI@6D^0Jn|-s0FV^ELI!AW^%;Y0*+R;Oh8@hHaDws2HJx=NF^@jOHY!SZQv8@jM~O9w*L_#=o| z^%^XSE-*ogIyE=Mfd(4zr2nLjoP0y?YY$?nXZ<$k{>JErk;h&!;l-kU{r4nT|G92X z#ejZ4of`VLvbj5pZW~zF%KiTO@;Uu(yYSwSI&Dq&+ZXJ-t>=@%&acwa+GXE9$SjQb z>!ONvIT>^MJo9oe_RxM-pXG7T}&%UF2oOl;PUbf3OkcPq+_3Q&f(8^)KI zThT(@iul{O4~dT6cjtMMQ}8-+@giAz@uJx7%9Shd$AVOd7lh-$g?3CIWQU~NoF>N0 zTTMSW3IBulV#3$C-=}`)oX}| z_t+?od686b{{cM1AB=iF>r_Xpw20Nj2a^LXhshq`*WCvPWTCx6$3u7R$Joq{&%0%a zUdMZe#}Coe%Kp6{omcgzxDK6?lj{-_aaIHB3q8S4??Fa`S0Feg64R zWX^6fH};0&4waR{kd>+!8c%HEU&fIFoC|`u14&Di`5e~ci4mrWw5W^M{=-!@{+TSH z-}}GIx8|F1#LM73NYr5(uXf04otc(!DaUsydXf1$|9i{VxtSMlOKaVRYn79QAq1ONdYjk&?z65&N4LusCK9}MU&B+Aw$ie2_5=*#b z4-g8LaibaqSZ0_c1ABBahx`Ew@yspIr8YTv;GhASHQT3_X7mb{UzncSF=#nO+Wi3* z33<1|8SV6m{Pyj0pS*AWu-VS|!5u$8HSjiVE!UkC{xLEU=7>-Nnn(RMf}?L4fC}n zq?EWua3ujq(I8wDK=d$@CM+@5G{!S@0R+gxGQB5G=+k@Rq+Z<~$jNTkE-PnY_p1E| zh0zmx_Z~l?SMP}%^Rjd9?|wU~o9FGXsyb-U^wW?ljQRq0oDHBOyUc>m#_S@ITG-EblO*tWMAf*~`igD>83_qb_+};#O)7r;+e$wY7^PPd=d34R+l+Ut=@WW8Kfk- zdFN>*8|0@_KV;qFq;Qg9_J-M=5)Eh+`kNR#Hl*w{=XNr6V%g-0WJ)y66?Ny2$r>>y zIs35@eW!%9A)=+RV&0rN^Vp@0?p_^CmaE?Qes>KTl%1oY)*rLvdMAD&k`-^xVkx8Jyd z{xh}vzD3_3vLfnmJpmelni!xF%{4Bl;!j=cdXWq6iCFF~LDV4oKCr=!SOHXY0z{z< zq=Qr9zzvS+pq+j47!BW|QWV6aI9)u7L!5~r9wABu-~cf(8^O{s63dS4Sh%1vr>s56 zy(`-Bw#=+9)3V2nvRbPh_O|H>cXp<*ygYP3(Kw_P5Nr|F znB_;rM>&)=L#iYyES%TTj7qe+O5o0OO8JF(&OA@F>cqJV|321O$rZ6m`}OS_N4|g= zaZCm3$Wi>Ju>t|6=r$8$BQmV-0uzsQ5fPo{AgpR*)+Soqiq&7ixhoW?nlzLi$e=$B zXbs}hqGAy(W7RAn04vyTr+&He@yEaX@(x$n@E%z^WYnl3ca0h){P@MbeV=`{Z{HUU z1K#C6d~n{pg$w7+dl16{ojnM?U)9X_ErN+_$@c}BSR^tZIXUx95`dvIba*I6u@M=3 zU!hz-i`9P;c0KuCbA$1p(W2y{<^k*fj8D_5c5BNh+i!Y#%r&a}JZ!HFI7MrZdN z+`XIj4icyLO?bYfV{!kix5-4Tjh^2tO?SZygcXrI`vitm+~WS8Titg`p8bLkg=xgs z?IuU(cFo_LYxIZD_u_MS)9b`k4<}`+LXM|vDm$i~zAraD8*SebT<9xOCpvAkt!KGy zopZLW(y7`8IU}}gr^6O@n&@`{=f-zuGA`87jFJWFT^xd&5#UUiXfPZFvPI~7At;GF zUg01@p`*b_6v5CbQJhxJZ4W2@+Zw+tERd)>!uTCw$qiqz2y3^0sDrqNnuv(3cJL0z zNxBz+M5?13zi1@KJ70f{*fHFV>FF`w#2@4@#|TN1PDoJLB}Pcp0}%O97c@JX9qkw` zk5+P(d}X*YvQydV-0glNuEtXnU*mnlx7)uvVSiwM;{M?7(EjNDXh1~pwwL(DaB@V6 zm?GwEd$uFn8F5GAvVGb9?1V@tDV!OJB==zYNkf^DQmIl3w^F&i+)?f@J6sEv?IJH(%tY*prl7m?u(oKdkun|j#=m^;ye;wC zeFF*#1`NzE7|<8V)55N+z4Zj@T}k~iE4FN@$nL+OU;u3~;MzJPpPHqFMD_#EI8g2l zY9Uh2-KfgLyIpwW47zy~2%EC*eWXKzkqxCJLr{T%iWRxm!53@48=kAmUuAb)fI&1Iop z8;E6Kq|FzWV!?HW%-0qP&os_u%Np0v)J4s;LaX9WHNMD>hZVj#`In5= za>e?y+As{-?Bgb)jihoa;-)A%8qZ~GTeR78i#8nk`ME`#{oF$IW3H1U1as&!p<}GC z+tBWf7VX~B+xhDVPB)h_k#~DX$y;D>DkDPJ?=S-2VnKOvmI7eI0>}AEH5?*uCUVRH zYn5;y!6GKu5KpdT#kED8c6`A4r-%_L2i3|bM1aWVk2_z=%~4BGbUs=d<+4dOo6TkO z*@@Y~>`-=i5E;Y{;s)`95(fnbg$9Mkk#X!eZX7=@aa?d*Xk2(5S;wy9*755S*9F&w z)`jX2yaLcr+vxfq-t$%&swb0_g zve4{6WoU3!q)bVGq&DmO}L;RI`D8@EZpq0o^8YepQ`IyIEQZBMmsPgt8;-6pe5>o~6? z5=z#ah#6i-5C^zrB^NrfyqRs_0Bfi}pi42JH7&S@p4oTFalnBODNE5mrK}}Koy}x< z8NbPq)!LI5OpRt|6?qDS1<|66u35c;BRsx5=kvBo z3ua^#1UqE(i|ZNe5$TgLGH$HruEb%%VUZ!xVM(LXrzw-%)8b}$?oKR=Oo&cTzh7Cc zRGYRcA!-|@LM)Oz^*q01J?Ya+sW}qgP_eg#1k=a9KwIwAYBdquky9gC0)s?KSveK+yyb2Lq~ z-+;f*{riOLYiPFZph54?q4WcBJ8$bSiar10bk-vs@I{=bAv75;!mkQ+jhpfUEr#S$8N#Fjadp}e&bm#9&nJ0iXH#} z!^lsC?WS}OWX0*B-ZUyM76`GIiPy!1c+g!#-$2@*7oKN45#Hk*lEdb3Is9Ov2Tk$o z$$EA@x1O&d2w352_&B2aFv0hBJIr&&mJSMEBA#t*y@#1%l>~3w$ z%n6fV#6;XI)_n@>E;-CJwSC+4B&#IYqDaZj^se&-*2QJ6<2J=rXD4~1J}y1QY72>` zyHnbx-z|;{S)Fa6YSQAMClO-h_*{<-r?xA~ZqI8dt8j(!-q&fGO8EM)?O znxECK`B~Fiepd=Ke|N3^U8ibYjAEvPQU~RBP3@X1QaI%3cv1bBo)7E9DY?hgZXLQ5 zIKm-D`ey<2uW;J2)RW29bpf-LI z4sZ={4^qdv#=6I;vs|;>Y!-ukO9Bz3%wj;+!tsiq$T677y++ zzPPl@!^Mlc{JD5}mzRpycd0F|>7pkF88#T9$?{fAi~wos2t>SZ%Y+RSREnA6ZsZM# z%kC?kyx7rr&PW_;9DCo{yH}m=HQ?9-L?OiuyKT=`(TtAk5AM)@={@P}(nJ5gky6BN zrP&*`v4kSFZ(?x3paFxB{(Gf4(_{L?=@XA^iRBm>a!`p@&Lf8h`_@y3od-}6Jhsm$ zGC^Sq5pg<9!SZM9|4sMrMP;#D+y_jxyief;{Wv95U&nnaugy-J9Wms!>!_5Dd;$8b z|3`0g`}O-`ZFrTB$#jVQ=KL+%+^e^NOgFn(rn^pSuzhl)4g2`@vFPW&<+WtATP@Nt z8PA)hxBK7AYczK!4fMqZ%ihoGh}5+7w3JpU>FH@n$w@e-G8&15lcEtWoS$w_PYkl5 ze7ik8B|R-Q1$V=8a)`4ha~lE*GPeTBn=Wawt*3??IHW>yPO z&@Q`mVYncvYwJO+%lUGlTtvMOxjeqyYiL4ZwLQbN_L_)2f3uhL(cK%;WNVs+=E zZf|R!>V`whNHs@sJ@DN$AuS~>>P_(qTy^1$_7#;6-BYp9x~XDXb2NJvk=qVzwNG1` zLh|;I(sFWtvUY_1CJ=aJ{*)s9TQsS{+s{AdTretnpp zrhcAY!S2!C8KXSIfNylMb`E%UHrG8d z@al$)+X72Np;tF#-X3f`Kk(fJ1PK&v+PpYv<=~?aQh>|KdLFa_Fs8?2>#$T}&>{+B zy6%|JtUKP+2DI_s7#!YoUxzD{qyzm4MVy4R&=-w%6n2bfOk-#}xy}&@vQ6-%$3yDl z7_Gzfy*ROf%5d9gz6a<~EZ;*IOJEOf2C5M z&4gtKLq%a#DrYKTZ{}|5znFfP`SkiPx9(pnr*$&W<^@!tj1^U7FV(o{CW$6EL z=5xJ&eD6m8Xn*Lx+UJXLXupd$#(7hFSIjQsInZJ}{cntieIhoVJs^lh`uNi*{Gq*B zA3ySI#b42XDo*dAy2frfa(x@sHP!_OAuBZ;qzjDk#q1lfN&i`gTbh@<1#nAiy7t=* zg2<5+HAx|1B;dlpHHLfX9_j79e zs2!AwJQk=9h!To=5d9HLd59$k-JG(k?M9`ADQnjJLERO_p`Zv);R{8ibokZb>t@)6ycE!3_pgkE??Db?e03;>@1}6y^t~py zr)y_CYdZG!Ahm7*7Vs?Gr+mpI_Qc+2qtXk7G2=?Tx`Xv<}RVAY0EY*Kb_N{k?R(-r+Cdh;89Oc8qyIy<=--$> z*62q6T7iJNf|%zgIO8^q`z^;4#{IYXzT}1G_V_MrR>t^8kP7SpElgvs<0BSHx-tLj z-=m$&XvYEb(GKCKOlqBv6}^}V0^k&P*s+Dm-`lb7yI}zhOREzU>|ft z74)PR{`gts!VLNfs|3uLv${9Eo=@KF4P?eDv5!{UNp@+F53?b!p}dNby-4Y(V| zNWwH%Io^dZ>N5!+1dqnW@|C?VkKbyIb3|f8Id&OQ2&hO0TlHrc2DK&RP*lAsWtm2R zVsr=!fOdq`jzKc%+Zx5Ogs=Zn|J>9_;gA8jIjQ?qV+8``{K;P~~0I*!wR95EcfnJ0nz zvug~zMt>Bqjs6UJV91F0HhWBmfrB@V%Pupvrg7QP<~0MSZyHz2Ho#F9CuKNN*%vNS z$fcvA^WKL0hbS#(UpPST_mABNjNWAbKEy2sj>>fe36A=6v8UV6hUQyv4DyW6{-5L- z(-d#xxqGxSp@7m1CX4+ITp+gIDu;tE9N2ebY(4o8C?8@5u#k+=hK^2F5lY(BMz1jm z`#PlsvGqZD5*?T1n{bKdlmE-04aOP~JoUfZftKAx>qqLiT*h?9inNW5vTIi=$Tfq!#Jolz!{74gy~J(N3x76EMwN8 z&KJZm`hBb~t#PTZ(JqTX!_oDpjR*IL>cB#I=~Lr_Wi3zxnJ#%`b z2V4}_`UX5_W_Fj(7Iv521(szgcA9`F>WYdDJ0cbo8`jusVvn&TF+D~RLu`prUQmvRRh_>JVO5wX5MxaaC#6PAsSTE+GT?KGL*i3$gybGfy&4dmD7a zh0AofIvB%!`-X6E`MGS#_k^EE3`H_9=@=i&|KQj0iNO3M^D&O=o+u7b_X_4GodV+^ z^EaU1BaNR5W5C7t!(cHQztM`zzvt&0eCiYAmc#>#I7}Ocz_rm5BM~rg*4c)7@bd^= zty~uqjo^rRV+^-#0d$d~N9bJ*d>Qn-^n}n2c$14Pqe1h@n#VYN?TXC82e%zo9$@ol zegELsKRu{?y!dYBzI(Zt#BzI%{`RCdRrBH3>lP^|6e#%MHN3v<4rsp_9*3?*d(Iy7 zY5W=2Nyia;s$LfX$dA~#NQa*ET@+5Jn6VV-1wqUZqtm)wyc>yuGQ4>~j7~-UFz4nW z^Vka9kC`)0Dc?O=S*+FR&B@8_W_vsw0A$ptnRSyU0s>^(=Svm>EQ9^|U|ycx9b+0^ z3MdeQHE5T<2>v##qZ$KKZL~@*|FZA`laHE2$p&53KsMSypPm~H=Y9wdcwy$h#nj8y+&C_eZraaFS$r!UdP! z)zvl7HP%IluWmx^lwD}HM_Wq$O47O$$!4KSnChuOe)tM`uZdGf%2NU{_f?VU5lWGg z%FeNu!ZYN#YCx7Tm>&F&a7yv) zJ4!rIF^E)V2pIA7oUSxm|c|f)6o6b$c%g z__zlTFDdauWDF@CK3I99qaQm@4`6ZU1T5OI_8%ybKZq<;7}Xz4~^&8tIg=i<<~hz zL=ZhlE)5#bbtW0jX|QjD$5%oZTtAX_b6`B|IAFVi9*m=W44<7e4R#+eC~zGkAt`Sk z-)w&W_yGMXJ#=1Pkw^3Mg3p2eFw753ROorPqqi>IIgej=D6AL9(PKF{-fD;60F-PEIrjzpUd67-lG^&4`u_D+n&r?HkVY4X6!n{Zeu1KBD^ z=)$FF$n8+z=yd=9Z-mexEQ%)}qr~%aJ^2lAASu|+b1RXH2u}f3pBY>niuK?BR#xCI zhhtTAwTh1Yrr+#gNbwXD;smP9k+En$gWCv=);^2Qsrp8>TBe74|yr^ ze&BP&bv53s@_G;F^)yf1(I}rkgLpmh_#6Eh>U^p%?gP$yF(3G~S(G%yul@3&nLmTm ztnzq7wM|+dBF`gxz980T_5dPmdy#p%3BPQc6fG}(Zf z=!g)%?TL|^In8(vsKvA3x?B{*d&+S~-*t?ig=eXg-)Bp3ui){jZv|Wd*YOE;9*iem zh;f`3o>qM~e16j7FphX(3EiLxa}M}J9%Fb-*iI&GmyfV8eWct|)EM;V5h0<|1>p*{ z2yH`ff+&a2g%WM3Ltgy?m1BvrZCJceeAglp?|4WA!TH$!=iv)Gk#j(ew zg*WZiGO$&msZp3P=92hd+qTH3;|vAq{r3$U>}%gbXA94X{xf>5v>W>Yv5vqyOAxwx zoI&r)mQcgtFXNi@s7LI3xa8Mfzt_V zL~{=BCk)$dL<9--SP?7mOSU1ke4V@s4jh7Zh~U?LA$1Pwp*^tL(x7EWrUn^DHBkLp1=xaka+Z}rJR*4ksIE$!} zq+liG%*9eH8w7^QV%|Rc%qe`)IPqVf;npJrnl(9;cvQ-(|A&=$s z>A^z2`<{jL=)?H|*#`IMCL;ZKuqV|VZZXzIhuhGWTe8@aoChQu@9N`5C6L8nj%#a1 zZyz`B?W0G<2-jIbT2q4`p3wyC%;d4jv>%#OQ7cx~gEN#i%O zZ0cKb)3!hIqa*HCF05VsQ?uSb93xeef-d)o#B~G~UlVsDOsXrvVJ(akRIpT3yr6Vm zUmx@Ugabgd12i>h1y#KS%77^nAB6ph$50U(Zib!Om3gfFXK?I9$@|UC094nOz&zx9 z+XVrI+*E(;hWL+m8|Oc6p@YYs5c~HIMv3vUp;9uj%z7jd`cub<%haQjQ3?;#+$xo{ ziL;2?Z`swz&sJ{U-KdG15Z`zJ=W!J1r98LRXsKwhSfz-tNDGXh^HhpTmEN9k?Te=4 zAuon+)W1mj8on}IiOB|JbU`u17stDxO#x8utIF$0}(@aw8 zVTrh}wPvqQ8Or7j;koMrtF7+R|#II0Dl8%?u#R^Q7$BwG0w=5CHeJD%lS|I-hLM{883bkwwfjc7-T zNTJ8*NQrUk3hWduKe6#B@dWD?>4<5uT`O*nP1+uLvK5Xzufc&= z|8UpVtlVmGWf9j)OC?JdHXazB4jsZ=iD|^R)Y3Epu&^}T&OCd6_~G8Y2tYXT)pu8W z&m-Qe%3lwNvAL}Z*UXu-=DzXm9x57N?sm^!hxDdsman|2{B&k}R^q@KVU-D02_AG+oiQaJ&l(7yqNJ$`*m9yLoOY!mf~>4{wvN!Vh!h&vk4P){|A z6R~>C#qmw@a^(+iU-s?Ne=l3Y43Dza>=^F@v-^{i!0_o5n?LU0p>Z9h&fAu+D(b~@ zz(vO^k5P8&yS1!dQRenvy}CcPBXp{!ez{#e?y&mMGm*90>Xw3~*3{BjpLiy&*1fr9 ztC&!yzO7_yo2nwhprM`8R}h$eU^ewG&s_4PI-25mBuVdu83-RQNaJ zi@9TtmoLBjz6WDLx=mFEInqk|W@eMJp)iH)fUSWH5TYd<@2e;2KS|EyhkbJSjZ0Gsv7i>rYI3zPzV6o z+|z1`YYu>HBELCh@^BDA6-dxy4Ku|=*F>I+Lx1NOACR&|dn68C6<#h4CktpMa&Lx_ zjM6=y^UtU62C$OPzN=gTZ1Um5XWs>2a)<5&m^}K}UVJC*g7$lCuet|Fj{XWcnkr24 zn2f+mYHKzmCuN$^DJ>42($etG3DWX}o=Ct^cbZAmBD2lu7q{*gQvw1vCGBPn)v!-c zyMK6W3$Xg2u4=cEtx(->XsvM8U=TBd{mU6)95c3sQ(MmU)JF-P|4IbL|}UD zmNOg}Lo9^A!r)J+WvP*gVDnx*+$-)oduz$mX24)kv z9DE9CS`J4~B2~0C1Fn*^_ePv(yFSmna7e%WRwW-S98%P2OVw{1>TjFL-tBlJa`e~d zA88*yuI#=Ub4z+ZSKe*KjK`I2k1t$IG=UdO=@XXSFea<9Kd99zY{8FS~lQKPRK9JZG78s$EiL9kkm8ew^`olR-&cbhS_G7C7LCm@qv7ahwkIbJ5?^l$1h_z(1ro2zW`|Hfg`zv)RET3PX4Qbo4tXM*l9)JT3i@!Oprf#K*yQ<#Uz(Dew`ls$va_LkWK@)W zQEpC2NsY9%q5Dg@Im3okOV!s}?;4wtF`L$mWDW1tXb>LovV(LW}Xfa&X$})zc1w zbUe!p$g#6pD|}t`+NW7A?2{}lT^|dbd$0TjUDvE2kCHG%M|vCNUI^8eQ|3yxCr(>y z+?Z%T5M7;UJ`lQDOmv~FHrAqzZyTXTaR5C>S`XC<@c%OClp~H|(7M#8%(CJeuu}u{ zHZl@JqLdYPEUx$W=VOys&xG2T&C;)z9U6y6tE-dtHk3+xSFgR^_%6;c@6zW`E;r;C zOGCP;&HPkdyhvLOU7YA_51i~8%B_UMy|=Ix;K90-j>yAy4EVMHe$Zt@XI9*$cQ znq~13NJ1_@H9of$!-t#aq$P%idNthgiam5s}g16jnW-pI;Bj$O$^KbGL+FV^HwaOUtinHp-5u*oI*gD)k#~5~0-*Gi z&>HQ|6k1Nol*M`W^#k$w`Di1ken!wq$x63KnyvqcoR0;!KuRxr{vYUS@#`(JXHlPp z{)sW*has>tu+PY9YR!1FKRA)7{Wu_TZfy6*R=pGG_jggLJc)jPVrPH9Kjjos4wOL0 zzjRiOj(<$ZK@RF^oD1+>6O1!Hw+?0dV6I%3C%%h#9n2BDk*-blo9?lDRI#uKVv-zPeBO;Gu`#|Ie-kZQHE5d&-Y@Xr4?l8LxhRc}%+^JmYQzHHILSwKAe>o_xY9haJtnN>OVqj_@Y#Dx8a zckf6DiL}OMy zW$W^3+L*-?tIuBl3Q6gg%7#BL1DS*6DeFD)?Yi~lYvE9eIEJ|scf+pZ;tx?Hyc&)_ zipR&Df+5B!a-^BeJv*sxX@7r2kOE-i6h3-??!rs$S}zLgKcWeC9BYmprm4nWGr;;c zM}Vj7;U{iVAzphr6WBu&dV73@Na*bhepH{z>Bnxz zHsc`$?F|_2zQZjafSDDH<&P)!ee3|tXw(u8ejiAY@|{o1gvcjV`OjaY`q4s!5i$j7}t z`M841#}18jy$bU2f=@mk=JK)Z8qu4F@sDagfYd4W7(%U~Rw>?QY8#)Yi)<@#kq8G6 z)zjstr$4I=)!D5!{J>ou(U!1SyS6q~e?ZtA8?rHx=Lc}B2`jCEv}|w8qje=PJhV=y zV%;>_BD`ius-%9lGdC%x#AoKLs5^MDZp9q&8RgWbnabpNh{@bdOdiMF%3FP|Z>gnr zx3ycY_hB8B3*(fAP0C4SBGC>zL)#W>jeYDQPK6~>4`smGaal~N-+cxwh{rawRh_#m zE;wAdpm5$E7Il1m=lb(^-_5Kfp;veBzF_TL?~K_o_Q4Ix&vzX4o;XYUlVWe$G2oLH z(#t_UoEoMZRQ@{U8>G*^Nj>mBz2`%pzTZJkQ3g>9JgLHanU(&FwEdn5#(1I|@j7is z@VX@Y0D;$zt4vxQ@m}8n?+T+4_i<%`H)uQl=19-A+9EVM>YYSZYE`!k#9o_KkvA%sT#m5yp<$D12-2U^4`z!G%xbJA3ck07u0FQN< z8GM{{Xmc2(FYlJ8yjiDAR(__Id92$Jb~g*ZC^Vk|Dvu=U8IA*jumk!`Q zI+`obo#V=L0kZkorOLtA3AOp11+33MIB@f^3#WkG{K19ih?YkhU(vh|TCfHwzSo6k zCwk1JII7_i;;m@uYPCrE$A=6aTC($Hmg%+1ZzwD78nV1}z}~&eqg%Ib-CVu3>b0Dl z36<@0{$OL^j8z7Nn_aUf-~ZYCc?r(WEU9m5Du4bG-1DKPdqTjGNFfPF5(Tjb+?`;Z zNd)4amPf0$R&T})lt=gO9ZB{ zcA3N3;cIXn?f4_7edUCl9DdJYrMG+t`K9!(15>MJ%}wquy{}HaW%9J?Gv>^n2TvKl zbt&+M0fYSx`}~jgIW%{igZyMB>uJP zdd~$d7SFpAn{3|d&+tmr9Z1g^^v?5eKS&o9w3^&5fh|pYfGaWkrNN3>``c|hdJn{g zerewPd2?n=n?8BV;2|YLcm9Z5T~L68GzB-AH{WPVVJ&kVadfYo_H?hljbF*xn#cK? zayVt&4qv`k&!dENfcTChm5J%MZ3Evx1^uzgt!v)<<=Mf5iw6uCIOxcPe3oDOF9~d+ z?vY38x;w`__}#~My>B$QS*zA&%iO|>Ud40$x;1!L6dd4!hWNQZ`_K#+epM^esl9@R zmri}Pe!!@PqwHLMhvj7tuTjov!*a>DX$KY*>=BrE(v92L2MhbNOQvIaCP*xZtVqzKm72 z(_i$ymv= z*pHN>!92~bBi0ipsMj?w@$tRX@k*tx6!RiKUSs3e(|y;Abgg-Qa{p%6ksBJED-Zj1 zpnsl_pVfJ^s@%@>&l7S&ou}D#%%k&N*Qn#6XJH-TE7PX&JPe#Z%DEzJEJ1q+kjxwd zi)zwd=ecP;Xr09k!V&&CE!O8R{yAvo^f_q-ul3O-GK_1&zmYNSPyYGeXq>pAaT(rI z_|Y53ksrE}&j$|0>FCeta5SsCrM!?K>O8_nm`8ia|9drOiSkK0_&)FEpEvt3G<@}! z@B?fRe#U-M^LN6JN{O){Awl%=c|wM$^XRqaE6Z^ktP}sdZXm87r*%NJ;aS#+_967A z*Ft_oF5BaD9kqO2#NPwshv7Q>vAF(=5UYG~lkv69#+L@h|9Ok?$D56Bn*UedcwSqD z+&!%b4I203@0ULh-Y-255HaXFf3N&`P{G5W=Oz9;>iA)JPIdg%N}RsH_(3>tKlsLP zUtp@rUK#m+aYR3@eS!oeEJPsU0Egl<&7mn*ce)Nv**RDUYowtG<(Qia~;r+ZB zq}@@-Mu0@DEzShh!{J?EwJ1l5syT7JsUB{Fa896{Dm)aflisW5RH3$oj~`0o8~-35 zGM@*vEp%O)$>*t5#!~DOXJQ*0*?1N6;Ot?ZGUTzLhaFuPp5xbX=7=5|ufA)D3cPE! zziGU$2KQA#i|fzu>s*)PH9WO4vb%773BNu9y3cX#2;`$8v4nEG#(+0~PO9bk0z5O7 zQY<;In2d$^d;K7uGs4VyU*~2#m-AwNy}a3Vl^0XJQF$|7tgf$GtB}O=eX-6>>x*^A zy7C(C`#=ZeQRCO4OCek0Xzy~9f(vVW3-7Cp04*ts_>vc}RRx_l++ENa5~~hD&0|m0 zc;6zx8mU^$Z&>x>z(Iosz9@!y|5RR6PO|E)th3v@4npWn+y;9SvQ6_X&Ip&Kycqjt zvb0E9$nGv5H~W(>N+&i{h@o9O-!pFe9PdTliWe8R&RlxmCMD}jHv8z(KE1zC_lB=F z@wn!7p4X_#3%tSLx(T5>o50r~jLU_2dejbS&$4BZJL~v$;xBu3^T4N`;(O_sb~Iat z`SAyQfbu4fY0vZdgZTjQZJd8vOSXZ}!||!q@tPKVd=#_iLX*lC;`)v9saD1=2#g;e82_Utp3Ml1FT!VP&^PGNlJf4?w<1rrg3(YT|qzi&LrQ9eK9cM$zPxsCB$j$(eueOiA$p5|A_|ES65^Q+@&esz4E zZ~ViGm2%y&&L7LrK)~z3_c6~j#Y(yE{CZ1%y_8=M!+4&%j`7fxFg}l8cPLh#yH2_N zhxv8T58kjr86sc7nZ;@Xp~4&!#Uhx_&_zpTygMlxc^F+}e2<(rm^0Z~i2CZKgO5I4 zwg)cioxj8uKX6agoPI@PvpaY``El^VPA+ZM;6W|6{&@A$!n)gsCW$+e-(520z(ea6 zdYD5K(=KPg(CK-e@|Lz?%2?OH!U1jLatEdvtC_H?L)n~ZnaY=(rb)^`c_eglxGx#q zP?JOSK*lyBCr2eGMk^HzTbv);5N_#t=hC|?yD#q7zC+yy{ifx_%kBE~O1|fVQ~#d4 zdrDFKL+q5LPienYWlHTujXnkDRcYJ4r7=C3iZm{5o`Zyz^RV9CS9ShbrZ@SusMYCp63wB2sCV8NNl7X2C@t z7DjbhnrgvcmxbJYGx>&%Un!6Is<8q!SJzI<<^Dn}Y)AA3uhc#aUt(zLoX^0xX+W`wu6C5OC)*=t2dzg8(0@1%K@ zT{&-VLFdi|;v2=&#$Xn?ZE2f=3qHR%GgPM>zf5b@ii~e?mEjwM$)TGOj z5~UX3IYxKrS@p#5sm$JYQ184sQN|wbHoJF;TArpUVuOpqGMs}3&Cie(9=v6^D1uB@ zDF>}3$hg$`%symXar2)0iOI}2r>Z^;ztJgm**?6iZ20ya!|ROf zDLW4zE-!y>&w!y%&u5)x=MEX-*>l&p!Gi~i)tx$>@7SqR$C<^&mI^vwpBvu=s`0k_6)5OQ#us%%t-B+v1ocGIo6SH1{>oiO>0yn zfmg7Uo0Ci#MtK_Uf#G2wDXH0`c4QMWih8c!G;qKp52GUJ!XuCNAFz4--5G3rYF6gx zk>iienBTGEjOkQ|CD%BlKeMDd_FEuF6F< z?;gAx*CFqSZz>BZ9}Z`c%PmykY!GxbUd434buPDX{Q*9n%L#5jsB+?pu-QMqCXL$< zFVNYAJ@hfRA8s7~2g!Yv9*oa`-oWLG`42%-KEriY4yp753juWEKK}7!#{#Pa5(wAv zIsf<&vQJcct_rotg6GeR`3D(O*)KkNUM2g)S0kZfb9~F~lL9`ES{tF(s%#>imAs(X zi~AcZ(Nd9k0ldcnP9X8~O=ll=fqM4AYs6K)!(LK6ZFqLCpyNH8Rr=0z+~|xRJGYlj zQBUw}HdO)=nR*}XV?3@!dtRMhNJqd=drU1&aXn`(Zs7 z&0N$|{=~blqOCtqzimYg5NVo81O6OJX-FCN6+K5+RU$xk5wC(IOY}W~h5v{e8H&P? zrOU}CLpR%RY4{!u9kfY+&E*dxdA{vTPk@?%f&yh?FyYizyR!L%NsCk|7W@dq_z&Kt z-si<)AMrb30B;X^ES%(8lML^-c z0?5|Xp{#+ua~qp8M;XnQE6coJT zH|MR4bZ>zde`C|Mjw6rI)c-I*@M9j>BfRDd z(JN?tbf&dt#0#-GC{W_^)fBlXdB%m44vn9A2e8%#r^p&JjIMrnXLn;eSp4QKTQ)0S zyWp2tGP`r<+h@ziSxicLl&k;NZn5!QBQ-0Q|9EM|a_==MJ}>vJ8MrSjBY6|n*n<12 z^Cp>HMvd=&XuxL>owK@NrZvjTGJAt{uiCO@`hLv+8cnd79b|mUGRN}_B3**-jn{NR zu9%^XEb_Fo2rot-*S?svF)q<)a)!Pb2NMzig(zQ(b5r?RYJ|mRj6wNYqAOlPIyx`H ztN(ie8x`~-Uhb=5Yo%|M-fB=QWH5RRvlC~#W*cT3S0=7>tu(AOh5)#m#$aND<64R9Xxo`dbSC5<3(F?-NsMOvMF`aK3^>x zWPb*H-GiV@h9F;RpeH&q#G*Gv<+CtLoGp}crRcGckjk^|%r?LZ$g&U}A8xb@a;;@^ zWa!2O-lX_!0UndLpUim9PT$rSn;){xl;hjnp4CGD~J1^OA_Y#y@ ztP(YB)y9q7JN2?sckjL83*%p`sd;g{6z|BgJmNy=Z0iN_XLAW=cWihGr0}u^=y#!`}2E0QF2N-KbgJd{UU!~ zzVf8xP#&v%?B}7%aqYv$o4^W=AJ=?%eE=&}_KHiGMfnl8Lgr#wW1%KYlOQBQ|7cB~ z5r(KTJtZ%2N=n1+;5t^_$a&dh>}c}9s(p4-B*+ox&5y!CUt4kvhAWyPwgWB1+B zzRe!ik0n(M9lihdy!6Mt58RfRJY}^$$x|7^77w$F*_GeKcJHBF&d7{=<y_W;M`Euxs(q zJ`X&2rGc(UrO!P7{4@KXe_qs&zf`6COhG(m*m8M1yX}s}gLp>xHRYFI73J4ol(^MP z*dbPe4g?2pU-k91WB#NV_1^HKYb&{~1o_`w<70^ucyf?(1f_t&0K~AHt9BaY-O@Oz znFhzE6jwgkOpWu76&i<53D(zkT|c^RG(wHE2H=B)BLRMpC_Lgvxp^u8nJFj=e)<+W>4NR`zrY83Z?Fs zIpXJa<5ZYDC7zOe7#bEoM(?=s--tJLh3vP3=R^9NvP~`t$uSaScObV%f>Qw#qdWUE zmmgu3dp=aY_{N{u)6yFDjdJ=kQ5=(vvjkd|zIEOMJfkPRpHno|)ve@viTt0DSj#XW z1>DFWxUHd*Q;Lk~jLvD15&Bf}qERI@rEbw`#)oPJn=@Q^-+EeG6LrRrSnqr%uEuRR z8F|FLIh8VA^$kdu`xb3Qu&Ma+s!6z%m5VsPy0ipb0}zVZ_zvLj-;(Tz zaMdIP(Vswg2hizNT6x{q{|VHK>WyL2)(qCWg=^!AX=v9?aeLQMoATi&A195RE#v&IKF+>CO0 zC#q`0w3Nvo)`SZjpgaH!tXBySWbm5*8(Y9$jmKWS1#h^U@6_ur-I76YpEhCSA~!q< z{GR*@Fp~@fALq|qB>mNuLKQKT^icMA4GUpOyPw?iv~p$z{w!O#XwJRWkqs}i+3Y=i zw{BA^Iu#)4IIN~-+cxEj@5=4GzWl<>j-9%8;b$Lbhu@bnr+cB+5v?{O zqkEVmLs%yyNK-{Qwrr-yEMSj(!ak0zF^1NMoYmAsoHTBZg97?HaeH+X@DPC7j4f-* zaj7Deuvk@{EKyMVqUDuIJtM2{RW)mt!3HbO!u$T0@*11X0lUQ39DIw#Al3UFD5qDH zH&~a4sTl?K6_RwkX3x z!#h<>>DEop%443~O*gL@);M0i(( zD_EPs70Q)u+iFS|vX@)Nb#*260HLwAtyafsao@oXc}HiBdJ?wJ%*L;!UwNHWAFMI+ z|4ayks+q{&X^xM6%60RJbbm2I4%y{Y9smcjczwxofCgM2T|RnbuQ9{=&+k^)z00bF zOBZD2cgP#tX>Y-(kt2qGKYu>T)TugAuD;NtWzv)A`2QY6gRDJK1$X8NdFBlsi>*yRz(&LCxMkDA;FSV8*31A3l@So2$reZ8N$EPla#BZ{LUgMSIN)le91~jM;+XC zdDha!l+<*5{Akww+I7}#^n`mk!)s`*{HlD-vy^hGc1c_uuEs zlJXHi8C9&KdIm^u7%h+Gx#Q5QDTUj>_l(7ACI&`33E~xAvNWWE%A=>un!QN*ecLwR zNn56$C>wcr!{aXB+%MA_j(hqapUJ=geq z&Q=D=zu}pw-}VYmq%%I+Y>O@ol?u%^G}}JgaQ<>1x4zSfXSEJN3YB<0xhE`UyYU?C zG24*@DvTh_@Q4{sPj%+h_yK!N6N>)`u5weqRebMyW`?T zc1KQX*OqNtwQAe4D;u`)*Zy0dd1h<>UpI;kN(=T0z1Qr7P!S{!e8=`|S2@Sns7LL|OTSweU8aSlWAdr`~<@hk|!Lq4d>gv1T@* zizhx>5?I8iF=wos_3Vi8GrJbuj-w+Dy+nj`?5a*r(h3U&h)E#p!eq%fTH#pfAfW`? zBL?1h3tE>$l&bmLwC_@%U{k~>gQZuy*(=HQF!fT{T#r?BKDL=Jax5(j6-M>X_ z`JW%fGQtQ4P5WW%8F5~bY6QIoIONSkZ?ubDRBatkrn{kXP-s7g5wMf{#5L;TXg5KpBZDxgDW@s?zm#Teg>G*fSa>*^;) zI?nI)wNi9G=FEIzPoq|`*qaeW?-^?#9l{z&@W>Z@P+e!Z>YzCfMy*ME^34$nwk*kadbp{7yx)3sX2RDWpQQfJ*Pea z?#WE9NveE+KMS8zNCBEX9Fu^OcN?Tb4c9;ZSkk<8>Cz?f?n{@v3)Oco)#JHsAjU;; zz0NF~GA6+J@h(t!N^W&_53969TWdPyPgbhz(UvDVb()I8cR3^`F+XH|-`=8kop?=W zadyHFeHiBrph5lu^F|XY0A}{B2g(5vVA4V5GskpdsVHQvJb6;7I;FhL%BB_Owi~fz z+FLQ0+V-J$k61=(eBQ@Nh5bq}C-p}!l4fGgNb(>Aml+;lQ&LkVKdF3oY6gCPO<0@W z?$W{~@6c!VE4{TN@EODkD2M)LMKpd<>#MVY?@l_cjM-7Ttn?;@2QQ=J{VAmi@39#5 zG@(}4oXY$ER)FvaTh;J{`Yv`r$J;NDp)5AFj{pB!#$Qck{I8z8v5J3khoCC{7f{82 zCwxWxs4-DW{@>BT<7`Q((*GB9{O3<`07nzRen%eu zbI^AJ=iXvAQCfiy#f3^SD4>Jw=ld3B3SJv$5f=F+bx}k=p0f|%K-mm@1FVd)nN3mg z4WuXe()fU#=ZW{I2nXJCVsCYEIJ~n;6X`sJ1Atn;UY?{VYYeqRyp{& znRRdDRf2PFeQ>7To%YNY?@wIqkc)Q_qvkwQI}LQYv9Vzos7n>JK2WfOPldEgiZLgr zwwc_Aqg@XjF>=Fi0przC*z`Szu0ZuzJFD?HLor_F66a6aeJmrx7L<5(J`U zKRdwMv)hy*O1<(hnAQUEp6gGD_jni3S>f2sly?n%f-32|c*4zwLaErIFAVL(fyv=W z0!P%FKQS00?Dp;2i0#5j?Pdgn@D@ljOuwA*T%NA0vzLwnL4HFGUatW5g30AGQqVKZ z#dsquAAGWNL6_ucb~-wx%M!&Mo{rN0E*bJ2%3ElFg%();%Kt`TSXOay)-YxIZQX_q z>jt?|)~EoVU>w#6b}so{Rr5?z%Z+I3y0D+!K2N?iOIkhanf;}u&&=v64N%4+Wq&C< z+^{{&U<`%jSj{G~ej!Gqw07^l{liM7wddYDr!<~pj3oo=D~ctlymboXb-274kz>RR zpz362kOH7jOM*)R-jf_55e?`_|KUv($!?I+GMUZwuTNdpJV`k(C2VfXo_S=#!*<90 zlOGyhmM)ge_~P}cY#dXnpSbs{X<`p$*JPzt(wbANhzyY##JAuU3w>N#TMGNaktf@NC5!^%eN7Ukn?bhu=hDI?|9?MM*^|4d(JfSy7E2nhI- ze&GJ+eLLZv0x$A~0Kg3>UPHCpz6?=c4B+lZ>4`6%`a}#40vy_{=(!dl7pqYK{;c2u zow1$<$S=|*B)>KYW5Prl#rsTExTYkhGAI`8DFWMRm$^n6q3)BQ&u5!d*8ruMn92Lk zI=sVDlczk17E?23viBRV7AIM{Bl8=ELZgH z_r$E;yEo0-X6Y60{QEsA=BVB_joVJR5i}!zN-0u^T%vQ}Kz`S~DgD~EPI-_` ze=0jGtLwb{{FyT^D+bhx{HXkrkl4FVV&Vm7d@lrc>&B&LM7etPp7lh(zIZsCfoZ67 zLmoC|S^qtMgPa+7M*c3bg(ZIA{(Jrgd{Ec&^0m%X-`4geaHQOJ%LI<2^7vG~^yWAF z`0_Wbk-_;JBqyc0(4|a5M^BWbl|v&<(C;GUP<;$FW+coxGUJFx3!$bkS*x#!+!>>- zkBMAwoPy6s6ilJ|RPpHSk%Lw+^dlD)*!9P$qmhW?{{~)YC zayv|XfBN0Kl+VYv?S5tiU`26dmqVv!%pd>@`3|5|G&B-}SaeD<1GWNjuI88+r0!gI*AF-tFm@-ri7(0u_DtlPodjXR7?3=p$<&N)6D{ozy8mshRdCV*)aI)iiT>t89 z^~A+&ao=w35Jn@q9ZH?F3tNbI5%FJ@R^+{qGC*)u>|P`v&LJcWmVFim{9$bLE=*vb z0ze(1h7o6#6hJoAsdK6L8YW?Z#~Fk-A;g5#gq@2C2@e(hU=zWS{9Axc_#EeW@$kA* zXp;DnCl+wwCJ_g_32nk$!OoBax30xsl_eT8S=^o^pHGZ^ z&#k;2_} zk}qz$Q1H5PvCrn|ORK7uPT$;zIbJWgu<4?jqrh!cjlgLR)XsC1yd10&cSig9V@{Ub zHV7PVN)TwCECrzOz7QYs&I|&{CYZT$O9Pj zCn)BR#%aJFv`O*QpC}$01pUMN6EPeKZBvjx1j;A<)%=9Mzn-PhVzlVQSGw3$94MBF zQ^fnl8u1_EKYd@P#na;F`1+ZDHHwX*4KquTVwhl-O>&%Q7gFV9sWodU4ZY)mCZtu;-)~Su$D(wM3I@7jtQBKy>~= z`BB-zUSu02ZNoJ@Gwlmxo$KQ9eS{#iWZ?uChtcp{>Ee}L$6irB#NS;=Em-%;F}6;U z8ydt0uPj$ID3XYe9P=vnaj&ss2q~jwD{Gke zmp4Q{`Eoy?VjzaD&a(#d^a33r#0PPII+JVI{GTqdMM}O>kJ$TDY=n2Q>K?;=;p^4Z zU_9rWr~@GNHz29tW>nMq4vPb$L!-i0b2V$K#=Fd)+E;aXd7@DRu`~Y+<@Qm`d!Bq1 z^N|Gr3Q%^B2eHalqsDDc0FMSHtJ#e+Hev5hk#ft?>A6hfk zt%;K>P$ST~#cQH;N%=Z-BfA&3@YW<}3=&C?W&*Fn#JwO_@N)i_a{xBLTq;B$*MJJL z@zT6`^XJT%K5gwI*KM$@Lwdd8tO8a@E)k%yOnL z|5qtC|AZrh1`ZfdJb3W4SKnW=wepx!C4MotxK~BtT%cXBR&IlleQ?*u-#s|SsUV5I z`TW>Yn4M&}6=Et-_pGDR9qBfuiVzsyzj^}#gZPCvkzG~c7d~LXUr;`3!e98?{MdsO zCP`}wHe!{@qrmj6@}~1k+2R+9K4|`6dj!VQmN25xEd zC2ICS9oMMqq~Z`cQ3|qk#jn#+ zb8`UqF(WnYPQdIPJXBYAs0nCLnas9`Kjft0Pfl)eYO0v3V(l^c(q*97Sp8^&en>vb zeI#Grb8-c2zc)bFjWH{WsvJ`uZXh(Nerx5hWd33+!um%fMBKNow4`MG`muQ(^0O8! zUAU@C_rh+)%5~-H@+C9!I?SK{J=;$4tG8K2`Q9T#CNg(&t2RjqU!KXS~uijg$y&qL?RryvKPSd^65nKEGY=PJZ@ekE~Z8rU{AV{=cJ9);tEcVID zV)nOa$Rsry0-3bw(NkP=R4!0RWY-QJ61f06d~5Y7U#s`%9inWkNPG!&N#JN;vD^nq zdWAL(+p{&}3Zkw_8HDqZY{oqu=1pC8?2z(36hnY z3~{23d^FS8cMbo5Ye7 zg=4c;7K_T}%RyBY{;WVMgsA81dQGo!1=mgl^AGZP{GC7f4MC3a;-XC7zw@bI-XlIm z2ro+2wrw|ZtM^rARYf2#H{Opd4A{Q(<>OmwwWFU!s(cG+2~~>1#GB&BfVV89sjHgs zV}kh?)nI-dasm4!5;?xDu!o^i1(jaXi-B-8xNa=8(HK~>bWGqpO_5G}4+CK;)1e#* zPRnG6#q4HDnc|0H8NApiqZ9n^0PQc1d!G{_4CtJXR(gjH<1}@@1x4V5Dx>Amc0Ztw zF9U$+ZJt7U6H@<&qn+ob`AdUtM*V;H!3RAT@~B5QJ`nOLf1dWJb49+$O;?%k=q!`5 zHDY|oO#0iB^X&&1*PE^UDevJ;R`+zzNm>3aQF=#GBI1>2gI|KYFfB#aB&K_F#mt*M zj<;$--adF7UxAxHuR{>|4PWQ?lC|tZ?+YSSMNx1dt}q2PX>ElfY}e)$AM{Gp{0Bb@ zBPFe32N5d-_^Fzy5#&EWwmR)$UHrU{##Z`DKx`w%k`H0lqWO0yr_NIIE%-6!#I?G; zVZynFZ-VPVG|F+9mq^CCnvvnJ2x-x8(7q!_4aTGvurS%DWT+{1t6L_NCN%8KZ&n@R zP6S?{1AGk6guHEk}WNit&P^olSpT2ztq9VyP`Dq|r?wJxI zy(5w6eh`F4_x*|=0ai0mA6+tBO-GIIF-&$y5ec}J&FM^Qu z6B1au#3l?@8)y2XFu|cF=P^ z&GVsdy{AExZzngaWWqbpJdGVZtA$#`)U<xcC9mm*D*Ei zT7)1U7?fF>pyVjKvu%N5romv%JXWkBJ`(1OMEY4XSONtP-{$N$&!xPKlEAh+Qb;@& zfQQG#9`t#*0_2Ub*dxelGi5s%{U^D@845^(erWgk;wArFvgEU4*Ox55_Db*%;yh&# zJE)Yf{oal2AIe}&V)LK*Jr0Sl;T}48=!86;3C`aoy-(LG_lu9-uWV5Ne~8s7U06$i z81jGNZ|jR3g%ExY1rx#S=J*_9#O&2tO0xWUfS8IWb9TU+%w4!m8-dgq-!74hxC{Lo z#oQEo7t{W88R-YqUG-~{HFVD+Z3XTLtEdU@{MI)Q`15n59YvKq>)>WYkemAl_?Dj- zkwdoI{EoeDb~AC(vhIa<+U@;{b8U1>vGFXbV20vZBFQUY%BFM9oup9M zNu`;2v1iXa=eFo(i@kVJ6Ybr+ys-Nkd|Vp6Q(Xt~PShMVi*aB9d|V^TD&FagPe>@s z$hdg1O~?E}0DZU16C<^n%&gJM=i$ce<Qx!7i3Q`lqKsLp;`MIlbC7BAo)p{R;QJkLzJ zChY#9&-% z)VJ7rIM-nhF{QQaGO|@maURyVomdS%5KTUxW?Z1z!Pi9JaJHGC$2xSy=lEL%!)OMO zs=xT^u8Ye1Z95lCxT|+Zhdo-08HTf`y+fw9YPCjhXoXL~PI*F}&yE9kM=KfqKT9hJ zdy0P6>m(z4m0$lrDiiOay0@@D`OmBHb3Xt1-~62@@)dEc_8i#{%xrQ?Ib!6HS9WR7 z?N@4<2gU{M`zz8pF&t+boXDgur&xXL9lJRC&JonJWHye$RBg$AjuQHgS7_jDLJomxCN$ zzqw#=A1JuHLvl*jdD(c6nN#L(SywWl+mefN2T$v?+!RklMC?3^{{WE$O>3 zEX?#&Y^(=>0`{TxOW=&38 zmLvY5SSXyWIeFxdeYPpaeOrMUk~tVn@-j|uDKE7B4^U#=%y)`)Kiuj^zHO#f^>C8;5&Ge1K>H<^-t z2MNRZ6##40;$!Fs1T1GmUWXCbs%}&(vUR_LxHsQC3^LY#`6Z{d+1!%whRj~qp)E&X zZu0v6*SSMkwly!Cv2~4n>PA7n!WMu1wX$Aai%+HR*k-K}b~y2M1Ka$H*696EY)xn3 zbxoPniDKJ8@xZUyZFtTdcupGYf{$z+&{Xd~LBy(ajlrIOSp9t{I$^OT%zi?-pMK94 z<0HbSjiV4ASQ~UNwl;7tWu4Tiu{%c$5&namUyL84#ETC%K1$;?P4i7xrz3ilcxi|4 z_f7QR_mK1DnBd>A-_hj<-@yb&wneK`tm@P$rBeKcE%nAJYv>;3_(2^UU7jwj~laYY$XcAJ7&R_3c~qz?LmoheeuB;s$Ld=x+7A z_=_L|rd0-6MAT)KB-~Kugvf&IBLwbq7hA-P$`x%U*e&UbU&~)g@j3_A$|`h!MUYr5 zDi`A6ua5PEMaQB6bVuRNh*(TY$n*T4=Eo$KKT|BS@O(#*7pZX+EUgX!*euwJlq$lO z_0P>KroUBBEnN5%{naRRA-8}3T=nOtu;wTsn#Ds7Cc){63=7vq34(!z$zg^V{n-=s z$U&eG%~@0iWw@|JYD#XNnJ*RsRP6PQS*e{e)B3l_8`E;$9l726*wZqj_0{3wqf2vc zqj$PXp; zA;K78iin9YMKXk8wAerkoo6aWPa{sOvx3yqSDqwyjOe|dMrjVK$>tJ0J{>< z6RP8i)W)>n(v@^d>7hCTC<)@@eS7riT9=+fd~=guX=_VnskJg7(S-hEMaWVIHx z*wUqQ^>$CsBDrCUBPuc~Iv&XXnwYk2Dkf%Ug@wj!j*p7g8=Q{FD4lF**LL*8ijWY{ z8v`4oBlI_{mnyX&MMx~VQM3Kp|5x2ZcpZM= zPMUimMa-U1b^=RjfN0mFBPg9`^#6oA2KW{$;LctspE-7IKIrj(Mkk~pt}l0G>2f-A z%1$IPpO7JrWP?@=p(&_`=h^d@%YCyzY+xSt(lM#}7;BHIn$2bNgx~z*H-1{2a!i~; zpKktn&@x+|%@XBArkC|hE1y6V`G3>G+Jl_tw5V$#oR9^Bh-4OZEiRwPNFjGxj=18O z_wHlznQQZpL5Dc%y(|rC{0K61ogn^aHkYBV%b!56cm!BobA**f!Uz+Dl^AZ4o|O)ey!nGH*Zms-ouNJ3JBM1!1RrQX{iS zK?D9yoc){25TOjdHJ2By)Oa%Xd7A5OO{d1L+DzPYT7&GHD;)G{p;ISelW>d}-m`~? z0#PH+jR77hRGR@PBX(N#d5JOlSk@-BTXNa(L6bA@e86JOOiTz3k*{RNr`TKD^d`F{ z)evoT&$k%IjA)mfmJFbqh)DH$zLdXgbm$!PE(6c~I%xP8U$YvOF3{SvjvLf*0`u0$ zmzB}lJ$}7W8U2cO4-$Zm(X)LeUv9K%_W%#>xbO;DXyWn4?)(|WhD6NY-X{ydOWl&& zf{&YXG9IiTfw<#G4V1<55P5!E*g#>5;J?|KL)$sQ3{61ST?N9FuO>||3COPWxU#7Atu!-LOecB4fOt6gLFH-MHM?{~I zoj^&%ignP1>zcbnXXB!^miV@JCyw@>{%QcQJ{o( z$Nv3$_wxOF3%Hx!gtFGY4B&sC~laz=+h%E?)4s38ZX)+&~gE^a2enP+1VRmZk@? zVK*#v6mOA|k&!ZJ(V{`SGLlm=)-E12P~W4J{+EZ8g_bQ6eWR|y$}auy(c?#X$nm2` z!9dji+jx)7_Z|@<5}N4UbW~0|dYpfF{P)ss&=zoD2DH;gh z^9JI1ae{wg`j2`rrej;B-DxJ*xqI}pkzZ3bVt9q42ni{;Udi-?N@3@1^;O+Rqva!^*RxTJ;0Ko))_<*-7Yb^F$kP8ps z-;iW)DEjq1#x#IDTpA^X)q~@*vO^4FY%^TEdnU#dzU0i+i{4v=|7A&;G|HJtgBH_3 zW2BjPAP++wp(gqokN~_;D%OAo#`GRz&90Z6+Z5pg|dj`3ro`I0x^WRvu< z8v>fvmw6CVigHyLYNRFhB;!H2!0ipwX^boGK`)4V z08aVty$O1HmU(npbN`{}$D4Ro&$34UQ`YbhpRB?23%R?jOIc$)13KmbJS4dG4qu3| zz+PHjQ7&sG9)tbr6^wDNe~e4TwX(Z*qvbdMwMUE{k`$#A-Z$W36&g11TmyEb%p*@J z=idf!KpZ)BitasVhkG3=?mcJ+f#GQ!HZBKn!X>aqvsg$zD`R!IWsfawP@g= z#cMN@lQKc)J3IpYULn>tJhCLXO5Xt!@CY^u2ICUq@9x}LRu}75(K!XM0PxEDJf3xV z--@3%`M&qxr#@HW6<-{lurR_BQ&P!W=KEDT1kBQ8cuu2d4%Y|-o3!g_WAv+KsLFWQ z-?0ll`w#U%nPxaHWQQ>|J2g8Dc?H9aUOxA^x&HrJt$EMQo%ihAxzEm<`y6=xI`l-T z;YZ3i#r;$Xg=5GuHK7hxe8KfpupVvIS4mpz%=dDzWsBPd{azPd^o6hLb(+ zwSy;rLS`c9HONz(8F}sO=3#!Z8lDCpPU#MeM{nrgG`yMekNLN^;;0ZND(wLMK6-3( zg~*4Q%FXqc4TyBcS6M38$?BGz92b|nbeKuAha@{g#HEzPc&&Bs4FL@^u#wV+H)&$E z1P^@~X#0gXXLkvrj&Y4NUrjG@2sf-#!pHF@Mp#~9=9-!w)a z6ZiPD$_ql@V_o>~oy0ASNtD4Ve{D=9jG&_PBS}!-iJ|Z~(4H+jQ`gBU>I;2>o=D28 z^Q2Oujve#P=*Ce~#FdT>S|QE9e#PKPj8rU1=~WlDZWUyR6EB{qE?(&Lk1?cx*5RN( zw)9n8A{vMCD)1Md61-GLFkfPJ=}<#Hab4kLes~`79qmK0Ext@=IgWf93lRf-nXqe) zA@m%&Z={^xu>Evwm^k%yA2Ym$Y+wJ;zfpYr9{cW5d-V_x^L<9USLrjpljmbvUA})k zFIdm_KmG~&jPERp#+wepw>G&p3a3-QaPk#z<$3G`(9yV;jC~C|ftyeAAohz+Kh>qi z8P+~O{pybbdv}iLXPZ$!Yxke!tGv6o`)OUiZY24N=lJq1L1w!id!0hq8dwNZ+1j%F zO7Bad_tEvTyW%>Ep2_Xi{>Y&nE86V^f7lCRZ<2kK4oNDELKKO9><|NvU-S_UV4n-} zFtXCf6hBIC{)y$s4rm*C1oI3%qR`3o2(&d^&{_vttQ+)FijtBpvnHi$n})P zc;8fdU3MPtOT+t8m1?ZDu7^m_i+fiv&z;1*Cs=Ray*a*n*u*Fs#l0Hk_on&oeMxZ_ zqV3vk^tNY<=V5Ibe-xjoCqqt=&f}wepLqv#(7hC;QBVC2CIS7cS#}vA`_#N6fi@KLBllYu>^Vy0mTteJVB2HPt7<} zys4Gk0z2Cta-Pyn8p?*r`N|MP0Zc<(%f<3@%0_ve@*cbvU#OR~Fr*lah&0qRJ>hT)$L$xX~ z9*z9{r!|1r(1Pf-$S03F9CTg~CAIeiMwqMHvO~j_>Y-^!fK+;#zH51G;U!Tg0uB3v zkvp-_m-z@mv~ZeJ74w)dr#*&}AEAo5$83wVMc`TCY9ICwm}8O-O8(!2jfb)_&eY5Q z8)fX>C$Oe^f2rmj`UA5@e{InF3)BqOihq6$(hizkAo(?eB4!sczcjnAVLdHJB8{32 zkuL$0%aFlIGiXpcn9~>qPKp@3LskCg@bqAlwC-9jx!E#k~@*}YD zLvi*^N_KpJ)Zi%7%#vzSknp`B5kU&jmJSi$h5VY*n_q(_ zzJ@XP@epXrc$_Asxcs%g26bO0`anDi`UZLeCCy?CFv$T%#Ydzs)uP7{pcygzlEGrM zlo*$TY(Xy0XY~J=ESnUgs+txP5MZ&;d|}buG1}?>5j#3G#!7MBAm1TM&bpZ#CBOIR z3cJdaRGW7I`vD&GYpe;o%oeiRNUBTqcEB%G#|C{tWTn3zf_U9fUoVgs`JmkdG({@b zORPiMkBp(qQ_ZIR$-${rt<~MZQj{y%5v^8trB$Jj_rqhNJ4VZW8a6~85WH}AbjyA2 zAbV}itB7*5-=m)>RBW#bTA}GhK#Utk0BvDJLNCh6lMVj}%wtLoWDIr7FV{#MFaXK9 z=hjRZFuXHHtE-li2 zwe;$d*@686M+Yi>&?mfb_H&MQDt$;$Sb_pd!kIHrTMl`Nd_7n34mjcyP?1`PUSc+2 z)DR%dE+snTov-r+Y))F|EH)>*(-UkCUw8~y^&-@y+sL=w>$qO2S9)fB$9t?VD(Y@V zzTUG~)0i35TK)+KaRWULQ@ANyi7}wea&{yNF8{gKGJt7O;gLGW)bd!(VG)riv|MP2 zEHOq*?3kA4Dy>L1o`)RfW!s zl2%f^52d-7N0EDt>VYY(@P305MJ6hqPc?#q#q~Dy99RYKiR+u8NB^Zihy25MPCIdZ zOW7UGEc9y+@&0IP1=2yZi#mXmUvMzucC8T#v&u;E5D}N_Y>+HcJe<2K#`M(?$^3 z=DH7dMM`-BJ0vK;(FHAtatThGBC}>L$(Cg2eGP$Uqc*1zggOOeA5@S9_f-B>&0=;0Q}yKW@~+ z#=&%{4yA764!uUUpFV!hz)7B0w|kc_8F#&1yTFgecg$`&cunsY9^Sh3f^x1~PS^3f zxA68`b}y>BqHCIZJL2JfZ3>H6F}W#|nHb9`l>>_jv$io88^W^?ZgDvwHY>T=_GTM$6+7>!NRMc{ut)x>yFKRn*6}p= zJ%A~$Vn~87w5rs_9%BE#8gkx0BM z7lm)HmQZBfP>t{ec99$sS@r9sA8DM{jMYZQ&OR)~ja)`FzYrd72p53VsCotRUFzcB z<%`8lQ5Q_(Z}0i;+hu$B>-^vF%^ca0=~*M&nR$ix+d9>9=Z_n^;Q2u{)Sp@m?30){ zW+5^L|IE*@ddzvDC?meZ7S^nVca^Jdw-;Z0wRqjy^#O3rRL;fN+LK^C7kJTLWICG> zbtya}^<0&UiA7Ir$jFQcOhrzcIBU%Y8KScnPoJh_>trgxES?=sd@t;V!}d%mleQn? z2wXpFtVkW_TeZ4M6FXT^GFt?Bv8VOet!_Pf_G-AN!DGQ)6WVp{+p;I}J&GVNxwkKR z3*fpRqv9Wn?h0`wl|}~zQH&S$tp{T6DE=f|YT>auY#~OA65^rBiVnbM; zi&u4ywi-(e*R7$!CC=?qiIpsi(uR0fI+?HWk)Fuek(8TDKX&nXR{`G_#su=xD=9M% z9oX3-y+H$SPkFj`qw)npRAD9_+x+5zTMbfDa@l=$lQm=#VrVaO^Ia@6&?jUtat4G+ zS)K?a4GOYc3BEuHx!Ls~${6IZT5Xh1-j^##Br&8+LCE2T^zktE5@aZnB6${`J; zr<1Of9*B_ZzSKaE_Q??yxq+}z7iocD8FnxGPVhL{Ffq{Y0cKNfXj_Mr8v#}g!7 za>S}d;nt$y?cp0J`5p;t`$dm=E0UKrcGw(hpF8P?8q+R`z!8wbS=oy4s=-EalGYUL zjchvSjaj|A_voEvWP!EX4jI}eBj6|2fkp5e{0)5FU=eb`xh^XiTixvg0DAhaS~Z|Z zUc%e*mG}Y@m5s*NVT|8a=&JW2r|eR~YnmNnKf;f(8*)?Jyb&kuAhtl6SqQpN>6C1HRRV8TwqpcGrgwjqPkRFDkp?g=#ErbR0<6d8eHgve9xAOT@R zk2%0ddM_Ea2iPFC z$=oR?*KUoG0)t{~5bsi8OaS0n8YQgLX*?K+Jc>t{tiZ&U=tDg`4wuap6cHE^U`AVp zAafwL2_7xl8fYa$32Z4ut}9FrN57jB-KOuD^GDuo#*nh@#`ieeEZxp9yOHP zlJ0?BvY&U+wh3Q|J_o>RYav1xb?{gb{TUD}1vuo~00*ffQaGe>uxpbp863rSGBNM? z#@-+W$2edh+qKe$Jv=shNQe{~9O}SEJs5=nFwRNYR3pso*R0q?%darSD2G>t+L&Lj z+M>;Nxb~+H+@1h(1b_JDOM;Z|2@Q5fM_WT&5lC~P#zusM zyP+ErNzRak^y3|vo5|<|)e3RMhZ>SYlZ-AUWoqB4-)1f-K65c5EJkdaFZ`<_msuX$ycHN>StmNxZR z%(Bx8U|m>vgdMP)i$}&NH5Hqp^tp5HTrE$a5)yt%Ds~yK1a5FiHHF%1*bsuWe`GpD zshtEVHvFi10nL_OX+feFiFw+yr)$-%r!UJGE5J(yr`7(DnwGhZ{i{=+Oi@2RyR5G| z3ka}yDZ^ul&9!*K?bcvBDm@61=?RP~vW6C^XRR9?*WG^03l>*G{{)fMXqGJ`?x@G)p?&U}O z4D=pW-eVEDySHrFO&PdpU3Q25p*-xd$i8p31qVo4ZbXAP5O=ZRRcwvyvBE-#J{xK) z3A%2&6pGm|)r|yXJCC0oFEpv{q(|nEN)s=FlTp|sOs%tG{!Thz$Vl879l_z-%<1TSL8-3oC~rrW@%-Y)vrNUh?IKNrC3xeRxOyU^c;;? zfGS;L#i6Dv)(xS$L4~cd6VryR3AlX`eUY%VE0GRCdu#uy_}@5qUw4ag&ijdwrSXxD6)Z{yuB zW^~N#7}|If&8UduvD(A0*rc;jp;t`T4Q4Xau`*~2en@iD6yl@}yIG7MWC;aF5abr9 zS%z&0R!54etzWi-2k}B4v}56}u&zs4LDqAclA#WtvzC9!9Ud~5J?uvoQaJZ(dH2j8 z2eU=&-~4yOr+mtQU!Ge^ePL2f~_%XR7|j)S%a~su*KNzjC2${Jtq2jSi+>( zZ3rK=(k~@SMe>%zL9)#nYGtw1HoNpkKDk5I_iNv(&gUyOwzN~`_sikw#@IazKKKx0 z=af2mf;Tw#d`8M zB-v`U0wNkv6d`X2H58MC0dFE75p*BE(+|}YQbyKPhu!HmIFK1Yam(3RC{gSVCe^1* zOF(h>7N=R}yk+AxmamOpHjibV<}DC%qVZb@`|1L1R|WYO`5El+Kj7K;S&!Ad!!MOd z-hGUbp9?nR7dTJE`Fhzv-QQs&J4DC@{kpVOT!-HS*M(jbev{6+KV>F{q5S=HJ`yFp z{Mh?3KDs}JO%>Psh;c)Wdh$z4f#PfoITvKOdL3?*rIORwNpCGBf=BW)R^L07&qi^o z8?xKmsPrzD+eCS;*rvm7A5-?7T7bQ&8PY2e%o0xq4UBDrrYZ)KLkdRA9q)9pbboOG z_AYbBwsATqkI!l$cVthz)E8c~P0x=qo1QBIw0lElG;hNHt7dmuIHXn!rJ(xAS+kLC zdfL77yzB4(JHdU6R)nB8`M{ z3i8i{sm|bJSWZailA@k^tx+{TyIR_t6QNl6SA% zb;_G3yVQdLKA%mjYp=E9lTI$+zVvf2BVv1Kp6UDxp0j-R4GjZ$K+s^MTD)(m z-%u@HB_B5wf9^|o;A5m@5bMyLxe90mg~EG)F`$pZt6B>W$eJr2)2a}h?seRm+@b> zO=XJQBW+~iktSlEYGAFN#9Fn}IU{qB%67*qvYWD!Bh1Ea2(@QsINbE3w&7&IhP03p z#1dcCb4u40t{S<&g#lqhNzp2Y;$nevLQT)(qy} zgALQ(h_61RUay=%Y+ba$x@Is_US{4c5dn8CsU8&cwe@y`m&Fa1m&5JKh~4se7ub8Ey!`oO=}fnk14Lm zbK+|a`j={)pfUOF$vKT1=S-fMgMVH5)vqi@;>tcL{ZnePn+&NNl+IdIqNUR`d*#I}u2IeY<5 zc>rD*j^1=zw+nd7{Xg2n&KsRXK?B9|YW>cgdseI5+>cB5?p@B>vB^sRhTUJ>+O!RO zthHHGY+_ECSZ8!z^r1MLs7ie;TaJ9Hv#|e7L8Q7!mPq&^Uo>S5Au#k@)DQ>$K#ez_ z?sqJ=+586S15 zj3U1nEDX1zuEM$0g|ptxtQLFXl2TYYSe~jBco&QJj{`rS06)_lfP=|~bH_9AFLRU9 zBsOrk(;c-Nlh0A^$A7+l0omm*qcWonX&2tT*GV1f;VWM+9>j0C)sMaR+4qgZ?{% zl|;y4C2B#L#GZJ9ufwm~=`W6)%9`E1IcHU(4f` zEL6&&b7gE19C z#}GJo!IboxQ>Pu|rO&UK(sB&*G#OGmyWWtYh$@>t;^`5ycOb_C5GITXT*DY?`RBc#jvUV%N4KyhEuP!J z@4Ul*{P5cyO9p1xwuff61o@c5DZHzpHr55?esW4G*)p}AZkeb?K|eT5emfoooo6Bdno-=F%_iidI+=`Q{Z)eZ?<;S_R@l(EYf3Cb}QmclSE<+1+ zXF`91uP7Hm`P`CHq0><^J4o@1qd7H|J$d?HxowVL;`cs&YUG@$pRAsrR(sm0_fC%< ziITc=yG@v=PA@*iy%%0QG-q}5I)S%?(^?Pd(|yGDg|o(veC9aMf!S5CFt;g5i9f3|+_ZLBrRICOZ^?SQ9` z^D`&d9`-D2J7VdSypA*Cnw=bV>V=g*|LZLR%2M2No_Y;BQE!)gLI0~=^V84${?*UC z6m_sKu)9oa-?GW@@r|7!ytr0}B`ln&>o?B4-)!3R->+b!P_i`msjg4e&uS4`V@2nc zBSxHDvz&iN^Ed*1{0i#;o?4LLPSrB9nW9gpKQ~8MRJmt}tN=_H%3+~+D#F+1u%~u= zm)3W)%wOE?L!vO*scH3B^+=4obt@{N|B?pPQmVuyM}@R^|I9Mo^&36h#1bDosKrjR zf$8v?vK)(MXdjotUt?{m#I!eP7Jdp@NYi10H>`yN;Y3h17&8AM#zfGUoLQN^IyyT6 znCfFJD7i}Xg(9S^_HWa?|Eg7;**=VE;s}e6Oo&g)*y)Li*sviY%Cj>gDLx@GKFrZ1 z=0j$yUMu#|@DDa`uE%;XH5tH)pG~To>56;%?KoGas+xYrrDTlu&Uznw0BV5g&|Wvd z(_T?|0sH_7OZyBmVZk8;P83HvScgu$@FgIl(=B$d_Pi0(9?f2}W(_~iw;X+~TFTxx zS&t8wzE@@P>g5YhjvG=syIIqw&1TPO*1UNOHK<=+>EbS3SeGtcy5{ZN-KDF(KKFvYK7u~rVEpscCzSAGbeVOK4|QSl|%Y`HNH{9hK;^yl#|o=AE1uQ@lEf&!p5_w@yQp)Jp5g=j6u0O`Xri?Mwk68Y;Yi<*gsm|8I`PW z2Xre8D0$J}Tiur3s9q2GYF%Xi!o#Es6vBMK z@rn`zu+rkC1cTj$l9T(^7PA(BU;4bRQ{*Y$MLa=1^Ud_>-%QnHH?wYfb62_Jb=&#x zwOYIRsolGn2i?~9=;U{W@4AK9vmx)ejQT`)tz#L=@kwle7^fwudo@ItL&>^%LF7S1 z$B-RETE&l_zBA^bCLbu^7pBh-Vn(aWJ!>4A80%^54z_q@C))RZ ziuU#KfW7R)JZ=@^L+6ft#dws6*R-~KYd>LpU_pa#@P5LS>Ane(*%mc>!MRBH0l}Jw zgQzup*FC@A_@k{*UOJ{!5iPdSeA9(b>Vgmbx@Cr^PiRn8RS?Q0VlR$yq5HDu}_kb?JP_|#j%e{e#}7XE|X zf4csby5D~tv|D(-fv|mvuq}yM^hyJI&M9Ih8g$L*{-M9T>HIF6}ruu1T7 z>=fhZ>nqNOnt04%E~&c15P(qE($g8GrxDWW33ru9CxYzGAd_NpI5lOz$+yV4&?o+;5&OaOtq*y+-r9}voTmH=y0)=8+S7VN=3;xdX_u(;&XcI8rQH;BRFir6B zEJx}S9Yb0jeUqiWl4SY><7|TeMq=XZEsZ${v>IxcHAhk~`A#$ARb)*x44FD+^t4$8 z-mm$UQ{HQEo~o$@45)Pe5i|7d)2k0(&L679y}ehsp)O0T$*RarSfuyNji2t`5N&}6 zOw&YL;7FY9qaolw#QO2Kfekd8HatK(v!;%D@D4IFUu1KAt?;kW^b;^}-=?o@r4D^%!YU`QkeFaJN_mGV{78wLnpMAkooWB(-nr^9Z#ZXBMXOd7 zF+=rQeR`!=r-_9)#8R0!{HMFasc*jaAy={cqdw9420fY-hNG+!wp@}`7yJgG0ZRlY zrRkZXlgHF#FR+&U+N1V@C#Lh0hL^lxz&WHHyL%g#xTh8-tkcW!zJ*9KyiSO|C?9e-2vcDEWc2t3W zsDdiiX;SDur+J;_pmm=ieqG$b=zY#t6AKL+ssas*6P5^9irocFT3oz2wyM4KHYzb( zLMyg6(`JE{z@AIUI!9KL5GV%a-uf5$K3=%` zzavI`wsHIRoo~Nha^U$Ti=O|zc~h3!m$hW=mMF=oZ?C=npOhq46=Au9@`v5;)hDlS ztppYsR`q1bdRrJ)0m&xR(gxIfxy3+`TtC|wV+^Jkkc!Fg6Napg% zrvsIq?6CKMJPtG7_&sr&LX*9{bdfycEN_pofqd7#15H*b{;1hyu(&ja6i|8&sH2t= zZ8J1D8 z9N+$fsL+Ph+JlmA`V0_MIK|3SwpVE|h3{)Ie3{#1^!|sfVr^J1TXVl_)<~Av+-6fd zc)QDhN#J}0rzFNjpuvC{h{HL&%~;(Tp$55J7MoN(S|GSD>S%eAazPe#zdbH!d3b=b z-xU%57-}Bg7}PI8IDRV3H+Te*dBrYiuojc(k7Ral)2>~cR3rWLHiX_B%?7}Su@Y0b zl5YmgYP9@d-E%>5*Pw;#)-4S3?hSfQ8Mh`DRky#z*N?G>4#hGDTn*tYI2L1>3SO>^ zk%!JQ{497o$rEglmj{?2V|q7#_^gOPI5_@LU`ClUZFsMwh{E2kwUQ;v5Yukxv969HQnulJ?*WWFNpY;R_`m zQR{nuKk*Tp+qy3sf#=u%?|*>3`r*!0c?#)Fo#)KSg63q8(;^#|OQsS{2J*rcfM#@} zads<+ro&^OB_cRbJIH=zbN^V6fy8f?NQzjeU8fu4VTl)XSNDVk*bK{YSdOPFEXZZ^ zJs$;8@6g$>Z&+wt(1xxCMH}dY+nkI+`QxOo8PODJC;u?1hoI}>H!;SdEfeKqD7VoB zwYp_im8plxHv2aw+o_C#_9mkY=F(ihVW#Y3iMplaTf5IAHZVmgA-hB=(4Io4D%%uc zQkutQ-XCJw?^uo$Vj(uCT0OwxbU73O*(^^aR`WJyD!r0jkql!(%sp8ayw4&dhkMV(b{_3!B*6PcHIV z%WNV$4EW^IKR#y*VHLAP*vhQVXx`6ThxZ#zbA^5(fBdg_E@7#%Jh7qs)k1gFe#-`T zNQv!4@N!3Nbz^w-APJdigW*Ds|JmIO=ofMUi)#TD>B$*Hg zXM8B%z&F16X7ow&#VSX9r)$deN5_xrr)GTc@#BxYyU_EO5$sWV=XM4l=S=dTl-C!5{v%r|zfcV5yTa$tOpGVt1ab`BU@KJveL(?%RdU1HCgcWNm6!%;*cROZ z%IYG_PLCs~$hIY?w+}X70={a}OtEQ^J zh9ub1JFM+hxm0BeOYwuWNIt`2r}`Zt#wlK^4uqf86=;pN8~s>2T~&GlfE|xF76lhO zisH$fM!F^NJ()CV$nEO?gSkbH3Zsr_bIWh#csx0~U+d7ZV~5uOuwxHybZR$f*lmT&4bK00dU@NHX&2Y{ajaeD0uvZsq!G3;rSIegrnhNEqt z@)QqM`(G=aNuQIY@f-=>(4Qc1JM3wj6(MCocB>i?^e21TUZfVAtp;aMQ9!vp?aW~g zpLQ0yZ7H@ab$3{(i)t=i7Snf}VVvyb%Zi)RGh5^}Iva*=~F}8{ds*VJ-(_{UpIB z7B4mQSk#U|F&%>?bGX}n75G^pXdr9PnJyZ(1e|rp7fJ50bKw^ww}ftR>p>M4eYiF9r?xwh#qU`C%$;|q9r>d4+be&dsM)p4hi^W+YCgZYS$@;= z#E|ApNnf%4z05|pUfExlh4k%^vDD9N6dMk#O+(bOH7RC8F*YBFjj>8btKpw&*($XG z@ix^)?2E6KErUK2N{OjI!cnxIFT+R;Q~SdM*2TLIC2jY~T?CKNn)}fZi+%Jt(m!&6 z^l{lGo#(ZVpd&yUQ*J+l=l|Y*F8+VBpNUNX)U=pvMzG0|P?X!Vm=pr-mYdbcQ_ogl zf)iv76TIfO#2;S&?M6Sd9Tz0|PQ$pVxA` z8i%1+SLEJCcgG&A605w=3rd?WV^Y$@9_;ARM_ZNt$-LDZUg}%>+BG~oP-^W7Nw%Q4 zu!+hG8v>11)q(-BLPuRCv!x-boDv{k7_o9~lf|smMi7!*+stZPgdV6cVnxL=kf0of4>c&^^Q0evZFB-o=lzWb&>I;SrFv>?;*=3&Umk+>-z;Dp0ocE|5eP2*yEXKaT zDj_J#{40tJ^C7=ews~L*IA}>TIOGVbC3$}!_;nzc>Hw0`?x8J^< zar<5daQzwfZ!+#?r2BPVwj%{2ilbE0hB%4C;2IJW=mkz!H5f$tl24IeY%+CflV=(= zYQ*w~uRPBzz;dq~&I|B2|D9Rzw;Y7K&){9kWP)zDW~Hs=7kO+eeiYDdfV*4qYV32A z=_8N_Yt`zl)?95ZFy82Q9C+L!;uU)7bH%^b*7|wE1ofd6VRS7@Nzd?jC7r*p?q!x=zikPge(>Oa*73}t9_-UcTYWrid{5A;+yBLqsYsKp z3Tg&Z6N2D>vj5dP2wBg+{|z3C-%L^<#&oJN6rgz@|JpQ1&2oqWv>T6>VY28=WCpuegZb41ME z6wfDl{2HEbf#vP?IJ6>bKruL0vIc8`)&M<9OW!8lCaVW%1lT-uU<7GTr~TwXOhl4{ zDybb`d#yv2D&7_>|HH4QO`ksPEAM&Mw{cwT!}vI*3Gddq%aJ3U^mV@&Ix!zQ5x5%W zuEF9f+4zFFv)wF^eQ906KVGqCKjjeMd-x}>?wY%G(>g0plGnG{IFKdf@DIG7^AB=Z z@}PCTvr^PaF^<4<$=1*D1R-vsZFsIj2}aBr#ZDlEI|J4m7Ns+^NO4$=XG0K2;V6=& zV(W&Gnz!#k*&@>e+p z9TtS^3+-MnDdLzzG6VYZyo zH`t9@dxvi+guvd&hk$3u*0&f&LRWu4x>{-~twHK~|Mgns*N0QaTQpn+va%;+BkVq3 zsaS|r2r_`0B}yr(`v8Glb5x=8_M7<%@ruF{RIx&T|kqHUApz=&te0C;1QX zOuWkvCw}hy*q9ZU*5ZGhX?b{!SIk)2UXUpWB1~4 z=8?nd_CUxAf+Q(q#Vt-s|9X6*9O6mVb(^-%-SsLkUVCtmSabg##ILNdvM<@kUDplb zS8}LYF}|{M_|<_M+h7cbgI?6NhF;0@+eN;!+_vI1&c5W0z-b$#gY=qeOjn%sf_Hji znwNlgLTR+cS|nNEvoZuw$WgvUVNWUVZ~W@F-@f7ub_bsT8$@kG`;z(KQ6VAx7KqO# z@n#DNLOcrjU~DUR6sIcX@+XY=$^Rw9kk+?D$Ifl%Z{&XIIWTqU=;p7?BEmiShAv&k&8o~Q1N+?liXS<4YfNPx(K-qq`Pj!J z?+CsnS@)y3eop6ShIm5Eh0yWBCjEl0!zNv)+ob$!pB+RaT>hmrL)_L-y^DNUg-V0s z0X`M}2Ez4apo378VdSu}+XYx} zGPC-@djC1W^A8<7_R8OY`+WA1h--lS?<3^@VCaR;pclzJKyj$wr$oI)Dh_B_pUQD4 z#!9XwejS2uE=%wT&y(tyNauX2gC%X<%CDCGrXL83=ac?gtX=j!pQaXZe&s{yaF=hN zh3@(dN&{8DyJK*Xo=@L9%SU&;R=iVL59C%ZKY;*;RyuRS_YZl$4!)gK8fyZcq4X%= zcoq5!3b|7aG+?~^m^p#W z1tC6fkxmE@bv{az6YP0DI;2*YbzR!F@pS2y*NuO&_u1GQv~tqp=J~6kt!clmOLh5` zU)$F177Yk-{tA%xH$2z@Y85l%s9iDZ=M67k+GsGY!BIL*I3}A+d z{M`#H`TbSr`8)FSEY(o3kqzdB^o=dVW#pizOxVJYX!#g)I7z!#rbAypM33d;%Ji@n z-Ul=X@@AI&7-e*%{ zY{cI2Q4cH_`cFA;!srCKstA6=Q?W`z3DOGpKXDl%qL4Ux!!tR3`KMj$Kf~9b8(YL% zX@_|0tz*x5rTg6W-LviDcnbSG{>f**16qDuru>K3oH_1e)IK>N#;7~i1f(HGi%zQD zNaaxRc!!(9I}k;RW|fJ2V=?0DPwaSVG(V~q@*|@=Zs#Z3q&2yjQ?0EspP%&>BSNiR zs@%|fI<;LPzf;t;RwzHs>W9|ss?UWv9Q~06a@y%ueCtl{h_9uJ4jRHi{7;CAquFS~ zkNW!bSYHzrg&pvoDW4hY7hn5Wk4Ky%ydUX}qoR-TqK_i84BCIJZP7~_T!ThE?ZC&0 zsk+C#f9@>Cfcm?%e9r#T-y#;h2J3M&aAkLma|sc}$TUsBu_FQXARJ(>>bOE&)!mN` z{N8JX4gequKMMJqsn!DF{>1we6Ko7|TAHff-LvuY+N)BY8kE(v##=RJ%pcshMho}q z)SoBrXwi1Lw@>31r=PrJ?-|7!^80U{Sg~wV@zO3y3DpLsM^`b|u=i(0{6{3lIP%f- zQ9<2WhFcxAKTWl0N}aZ6UdZcHBeTb|$=3Vwn}<8I$SO9rjL-aTaBPZcs+RU^Ef|*% zngck`q^I}<e}sHJcyn*P#nbs**i8%6wBERX;Ag!H)IErgH4ko69{>l8`Jdq5w@NQyad7QbMV~~ z9(dQgY|iOjPd4xT&cH17Rilzu`YAulvaqjus5CEqi+%cjqt=j=)CSKp^+OE8|D}z7 z6>St&v@zJOMe@%E6UG736JNqn}z>F&K5Kfu45DQ7bv1I%V6r2 zt{|A(!sfGOzm3}W_T&b!p3rgCur%u6VCWD+`D-r<j@cB zF{ehvdC`dM>bSLdU{?LeAbqHaO!n#ZvG$(@<$^9jhmo*Pr?pyyeNy2y0lk<9Z5+jf z$t7A_2|1Hg0+%ULf8N3z0J?4Pf#95#!DMpBD}winjf+rLdu?EufT+6Uop0f zFu{~UoI10d>c19l#WCa$TNW+ag5!wbEsOZ1u+*{RQp05B;MmkK?G&$?`_$lF=R*?Q z)?QU=rKY&~VwQin!F2h*{K_@{h^g0+6({)`(|GCiWviZ?Iiuz3$oxph$OL|H#*?dL z`=hMAZF+vsBHhCWcT+BSzum(|Q6IYV7VuwE+)|8G8@&R~jHChtF$Pd6?|}|y|0m*y ztXzNN=K7T@*WbLc{&tAFPhWRPh`VnecZik?vO5j(k)4`RLADajQ}z`X?_*!$Cm*u5 z#n`be)~;(lc5HL`%-@mzBFZ$o9?(LO}TV=%49@qp&!_z8CGD-kxvd>^B9FXjg_gSCYn_2ohglA7*5Ur$R;T|H#*5~GG{DL%xYW%08scIE zWnY_R!xr5CMZa$hDa)YyhVIDAB;u= z>|1{S`uoD3tH|{bjolxa4?a{pp@=IN{dLLrSyjG~Un<g@T&s6QCnz$aKfCO>T21*6Y&s+)4Kt>SZ#^$M3QLfOyfB^9#PVW1+m$m$eu$U12Z6PsHv2ju2RivxZ#kg4gB61HO(y+f0 zHQ6LbB8g`dSpgN9@higitZx10kba%!9cA6Mm=}_IIk#EUA#RyB1UcVR3@vdsBe8Vs z#zff7~l|_$pt41*Mhmj~9HuOJD!f1@-2iF8JRmneLms@5tj! z)q#r)KnAKXXqrT1TdRrja@Rp+FYFg7b8~8Ta+t=#j9O|kGo~ttvdj*1A~eU52<$v_ zWNM+w-qZZ&9mhMNOrQypSl+Yz_Ct5cG`{Cq7R~CFOdb8)F15e-^{}-lGHT4( zM?rIjCgRuqQ{tlbt$53$t>Tv!|K}$u#g$uvEJ8fLaS|}ZDX!;8hJ^~e8?FOuZ^$*o z;`&0m4xh2LJ0}>46>Wsd5r+pro;aLEFT26{Y{sHsqr z6zC!pJ~enTg6SbUjmB3?es1l_W?d%s?1>~kNWs#x=fv{}_6atQS<4nYIcO__iMsGp zUAoFaTW5NIh+s8qAfb=JLeZM zgkE4&gI$Zlc#~`*Jwsn&Dzzx6j}ttX&prnHFfjc$_%(_dK_c*G_#FH$D($7k=O}=J zK8FwrHvo*GtP3Ef1^a-LQ09MqjW=d*Ut_1xUFt8-*FHsiZfcLXN4KVEis7=OJ$R)^ z1G$liBlx>81A;W`$np37Cdz=o&U$-@6H?y4^>x#SmBpE!z#mk4PI=eLK>@4>*eUQaSb)D9ery2bhM)&~C!FGD zqYMpm3*dI51CVV{G<_WoT>ZG+CF`c^z};D_=^pl!0PhAP%gdmd0Pu?b!H**7f^9_4 ztCJa;P0v#hE0>A~g0%cmZ}|ZW_eU`wVqw6ya}Ej2g6AhT3-N3Mw*c8JXcNz(dQ}y; z2U;^AZrQRwfr^(c(?08bioa3`Sge+u!nniB2p@Y0*=%%rj&-N^6ExAYXvipC&Er^# z&6^D&<32*RwhBCj`q@XKpBXSP7}g`63(l>07BKx!!5#HD)Y*$@1A%JygPkdwM;|Zv zn+>zD&ct)-K<$)2ihW7wchL1XO>|277{G&M!%5==&|(v`kVGl}((WO3^Bg{x@W~(x z(HfA0z-(4HD={|UB||gNfX@q?x%|_RO4pE~bt5o><%cBKxCyJE{CGt0G{&O9Ckrc@ z#$SG9G__2!@KO7Uc7>o3a@auU-Xsqze>T*Qo}hCJl82=;D;o95639gJQnZVq{J+aY zV0(Z6N2w^_+x7ohF6yvu>MP`;5vo{3ApN6Uq>iXp{vsI##-!$7WFz$rPXrzg=L1h` zKjWOWGn%TQ)Ty1LW@f~~*A*lKrsqE|z-}3*1_?PEKcIyw}KZWw$$4-HZh6Kcq*`Y+Aj zQ#cLAb}YELqF!Fz=xS|8Hj8T=k=iUHy3X*;!v?%KrqR&JRR&he>Xzb2u3k5}-r#-+ z5b85@QuB$Q74=t*u~j1iLSmC0DcN$B`Iid2D`k>ar`yD)ZDw>!w^^fG_ZZrs&zA8` z>J44hV|qy&yVV-d0)k6ArJ0RqKKJ)?hwxkc( zc%cto)Az#A2RQE)dg66){WBp)EQqf{UVB*F;Ngk|piB|#b{@BD{W+pOY0c^(fZ#zB z&iM!yXIOZg|gJzs_f0yXHNEplQT~ zBL-z_Ny%@&m6Ry`y?2l)nx0YKuKo-miR<9xPJc!)x3Wn74IFGgBNa-ZP7OeL6C0Pj z@IpyrbtzG#KPMF!e_;NF%p(ge5lTk?&$Nc`@oS^_cK$LSDH~8@W)-4yTCg?vON=Aq zT$UfoS9lz|No84VeV0IG4X<4 zquAxg=nj8ub`Qv|1Pr0JB3{AOfB z>2dOH@O)XaK`)$#zbr|rjux=DqP?8r7NzZ+g}z^exb)K@nAy8h#j&vDO- zv*#oxw#0dIboBWntj31*=i7H1)VZ-duHC$O?Ldk(}Zcdd8WXNS)KP&he_7%nP z!jCV}G0p$nbHc>GJqUryf4Ap^`G;JJ|7=}hCESp)u|+dvUm@hMzwlyEn}56SgpsT` ze90I<) zGGns$n_qLgA%77C-qVTMpnXCFMU&$(iFeIAO;9F`8n(6bkJlgA1%ylT9 zSCLNua@_x={a!xI6^4C9)&Tac|GZnLkM{C}(I)!Jckz`Tr(W~z-z%*A5Pk2?-u1(v zbh_YM16|;e$DpA!mX%F?Xc94w6~_J}T2TOw(fq;>2U`B}42)Z4lOMAw#;km!Q94sR zft~?9C-epBIe={cs^Y{riIBTLX*kU59L!JNE=g-e36(_y~ zmiKWD2R!S>Yo(7V3Me=fviO?a7jv3tdIMwU5Mu`#=s7T0@Qb;P^~y7O_)~l6Bd9hj zy`m&PLPE{bTS}aN6n*1pq&=JdJOPyV<@dlqYS(;dc^x`0M$!+M*8%kUXzIGghtumI zWPt_y(NyC!k_Ev3)pi<`9blsW!`XYlMR_#w?VvR9X6EVfSiJF+i^qAK~W8T*{F^O`^|2zBK0UGoF|9=1YfpE|5 zGdnXoJ3BKwJL_}I1D6umL}jZJbn|U-tBNjLp08sy(7%8|xr}e?yU;tj&zt|iJLm9@ zK3gtD6MV11q&su~%N2L%sBSoeY&@oi=K`3X>z#MGPH>*@n(bWbYIKfuH8{6-wMQSV zuqk&FFp<+aN_Sd3M+dg;ggv{$+Rj!d@)Hk=&(M9A8Xj*dC{O{N_N=uXazur$(|rcp zS5LX3IvWjFbV+@Vz}kj-lmmJkiIelPUsD{3UcR>ripv(&2HKzdXeE1tLN z-BoUf>LPDSVHKERA)-o3Jp@4!@CK=u6LaIQ5I?@3(0$>Zj6a@rT+A ze9@lP39Y@z8xXZ48Z6^mkMRvT<`U@ViScc>+wY~o1%B%SC-}_|Eb|)}X!MH>)cLst zI<}6n8m^}?{+Qm!7{5ltYk6Ojga6mu1khr^foi_0=pDSDBWR(VV88~AqjYbIF_|l# zi}RZn9&Z&i;#%{EL(Mpf4$Y^aux9*Q0>GrFuZuH%Xm7RmMYNZqK_bK}EP8}>K`Z3TW~~_i z*TtU8D|&;dDFXS@0~d@d+#{O1Y_Gs2gLf0LbJE`e4=6$Fx`fmVte#}?TLbAhEi&$d zBbg&RnA(Qa`Qy#H4=2yKncQ)FYiyn8ir6}4DdjebC|?`6;Q-t=($0ok0khVi`?*%I zmgqavg~JY_Sf8s-XOeKZJ|VS@x2b16%>OI79xpx0;pFu!c={v!&3sXZ-5c;U{1C)X zZFM@mn3r;Q_}Gt*J`ois-G9jU?8JH)KA1e~W>ENY9GY+AftK;^a6mx1^*lV`YjKIe zW#Q6--MD3MV2ejQkoD!K*a6&UFT7>^by}V%4Hcg8PTpjGLf}4@DFQBb$b_G)!6o+? zF#zpOk>F%DjlXK~k6*ce7dshCh1cBY59ts)K|V6?`6W+eaGKc%B7P_7)&pJ*_)2Fv zU}56;ua*N6Dl#Q#fyC~;bnm6R1XmP>FmZFouFy>*`yIZ@Y zy_sZb{-up8G|U%t?lO8z=Pqzr-{M#KXS+HYD@KjHBB)E7JSw|$z~oWPNf6Vt@MYw? zmz|RA&3E}({_c*b)Wu!8NSi_Mz}T3IUQY|Ws_O5t(``*X9cV9WL=C#^M-;80w>mTpdZTXhck}lor>T|5j``^pE*ope2MXIBm|&-vkDAj0_1j`u*zT=vdHw%b@J6b^%!hgxdw!#pA%YaA6;! zf3es0Pn@GODJJDMpa0M7BF+B)#-gR>M8Ol(dFuy19{Uim>D%`E2o?n5&Q)|Q-{GhK ziS(KCU~O(=<^Mo!;Q9%J%ril6O7r)2iI`K+DbUqzoUn)Il+INd(Z(6W6dK;uDg~dR zZs*^fGHvp-4nJ;k>>|cL3UQQam@h{3*|r;uE~aks15TTAE+wMOGSs}oyscKp4d(OX zW6Rpe{PeZ&vkxC~;%H3-eRG6OhG;M7rL$hveS?SkCgDTehV&i&DPN>Sl~Bh8Tj$-n zJFjKuI|#*&2w<8MDH74u^Gr> z{qxVCf1fnt`^?$!(ksnt*wZ)(Gv(sjRJe`bzxm_B70(=JeLw=>lbzpR87T6$sKzr~ zTXCGu(i5dC2OHV+=lgF0^79Yi*1HRPpJd*j9&R|s4@#yZ4J>i>h4cO<) z*AhI(9~S%~tU+^x&@JWx{<_RVT5Bw60d%uoGjP}`4P$ZM+;$A`#j0+_7sdiW!^FXr zEG_6B)S~H#tZTNy!B6>|)^p}sT;2R8nG7&ggRS_BTo+ri8*DU*0b8-WFbay|hBI`- zr~;Bn>T+emtXUJxheUeI93NC_#} zADsey?V!#4s+v3y$b}&hEW5X2Bv!^O%Yn?SAv69K(0z7B(7b!a+R05t zi|SfVYWh78*xfPi1wPzznDa>y+{N6g=T|h}o3fnoS*v9}6XyywUly9&7UfRyIYWGp z#nUDL=Y;ii!Vo$NzKF;f@W2O?H%{hyo5GP=E;37C{D#9C^(=i1r#5$8;y-p9+ER@S zF{^H0s9Q@{^R1Wi>Mb?NXxE+syqI1BfG6K!S(_Q zL_R9b$5I-NaDZ+Rc`~7`b5(3%JSy(mM$!CjZ@Z1k;c3$zO#YGE)Qhn0*@q+cVv*|q zkI1sPiwB7d|46ggyw?t1{UgN`iWKr;-M=?I(Ep>T1$LAbf^(sNBUWtWi((Ofqm_~r zh_95BL9x<@_I1^}n#Zjr99Z{tsb(C>81gVEHcIbUtN~&XG6{s&t@Ucz^b_?Y@XoW% z4eDojJ09-@GH+~);|;NC?k(dgWo@@yJfjQ&Y_rG6;qsQCGTev zmxP3o(nrKx^UPGO9K#S;c%_zgs-4z}#oV93`bCc!H@sI|VD`}bZbLEy_<^D=-?5H2 zo+_88k9}>|{1{vsvURH*(R1{wgF`CU3`n z%yG-GH=kcWGUJ68%9b|_8Qid}w0y59swlB82d}$lP1T&Ol0t6O39Q6 zN&kSDQIqFROj<-T?2%lZ->rX=C#xpeE!*@dzXN&hz3sE*Kgo6J{YDQRTb(rJ3d>s;KRoeiWhS-7Jb4lgYG3?+&U+TMc9sfmi14ZoYOKPGrROn z^J5$(Z}~(opVkQ(S~91v`InaQR)zwmYSpKJA=Nc?qoROT8~j<=8op@L9x~x-rBfqO z%vnJ%^xPQN@UC$kvZK6N|DqMIPn!7JiXzO>{Uq$>yM^-xB$6f|Lx0z;okc}EZtZ6F zO}j~!z|VQjH`I63Ur;$cl`!#4%#?9>TRWac*;7c7vM@9yHJE8LjphPUsphe2udbVR zKhwMRc&}0a8sy%wW2Eb}OS@_+_uu9hf7;b6uH#|W&^~w6#<2y#5hG8miG$yIy>o5X zpqMzmdCWlB#$N9+aQkO#=UhKLa>xs}9vgGEFJClp^YGM^!7Ix9Z5Wkp+v`m+C%0g3 z1b`1X_X3?rIb0ZE;)6vsC!18vIgG&i&o=a6{e9E=Wp>60NEq;K0e*$sf5A;{=4Mif zA*FNrJ|$q0T)gAkEycky<-T&O6$hz9TIpLvM6$1uF z)g7;ji2l2>Y5K(>sJ*vmV32csO=Mz!dHQbt<;=*cxLb+!aXAGp#>Ae3=M3(dWOB(& zt9-N0s)sT%Eqcg2M~}PAkbD>x9EB(pY|<_zmr{>ADsCyLpg*OH18e418F zTovZ)?;=YP(F2Jl%qe{rj5}z;Ty8U|C=!WzjcMqc-ZwJ~YpOH?v*Y-)miRq*(HemYxMEO zJ^O5IoZNYAuec6*RdKH}H6S4`ytuY@lC7(4{jM=->0@^eiLNNjYUkUnas<(>1CAR( zw-zh-`-15zjljHlaJA%ji15F!m2eD&d`xZrL9D~@gG44`cnlNddU>m^q4=BD4GV`Y zi!)d=HE;HFBm4row8wF!o88ytuvL6sLVZ}~;BKLTU9o-+&J2JW+wvX1jP+BRHszg7 z0~{Qk3{2-9c$|-Y$;Ywt#C;{e{RLf3kx&(lkSnZv60ywy;)*WRoJvQA1my>;TwMO z`qm=JCTDDE)UfKf+-P4LL(ZfFQ>u5(=+ zH9ZEsfpcaQ7bE*ZOa$R%^_P~JXSLYeGWj$5xoBqx4HE?lon=DWlqu7w!U{IPO+-{Q zP&R-z?D`(;FsLFey`ruI>mMj z|J+H(Cgu9eihs_eW0Ubm(@MM2^&d0ekJp#k?c0aH5qJ4`U8y~71%uaan8&o{_~|+V z6Qs7&i73h|#ul(;g#m|k+A^d`8Iyj_9vdg?o9^-byLb0kcX`#yPoF3%e&Q3p-7B$j zUS*<}cT#0mW}ig%jhFx9{QjIdOqG&0U0svg^RYK?zp=cBls~VoYmh0YZr-r&VPV}x z9BCNV(_xhJp-X_w%R1Uydk#Dbz=^G7!c6!G$e$&yFa_S3E3J*hHB1I1iD`=jOGuQi z%(}3?v~>N2Szyi22WyAE%m4KOAI>MUdMghr(tJCnXJ-2G{oy59;T^Jz!{omHJr}({ zBg>tyu*+NWF8|@nEu}1y`B#t6Y6o8CPO9$Qw@bLUy~OrNPVM~z0vs_fKaoFYpK51X zn5P9nPtEjVpQhC0cj%B`lj0L)bayvKDO0vbmyDP)q9l5|XGm;HTrh&aAWJtzu9D!7 zS?qV5@4Uzo-hZPS((*mu&FVxOrrefh>+8W4+D~>zCebneF-KLI6>J8<&?#@pI-5{Y z@!J_EeK2mRU`rwf4q}>}68ur>kX3!!XD6FJimP3tE|QH&xnV`?Cl}euro`N^iVfrQ zsh{RM%Fj}{{yg=Asx^#_he5$F>d*6F_NCU(VfjTHaf^plHmv?zc%pS#LwFL)b+0Er zoR__PeD~0j>AgDDQ-gy1+q=l!((9I#hbUKOe6YDPv}js+N_|;;NKS3Kzn7bj zuU&dV_RzV)=kKNbSDp!);Mbr)IfB-`ww)R&Wh?)cl2CR4=z{JIxX1T~Qb&=9P*Sy8 z!FNqTV){Wmw1_|U81(p7&dxkI?8W0OPxVcXtr^DhoQ?4z^nZS4#_3VJPLCXO>$-Hv zd@5yBdEzs>r7-iUx+z^e4n8G?-`~CO_3>JtJ5VoX1LC#;w2shJfg6{AEJ=9tn7kVC zc+S4&XINg3y+aQl<7Xtjy=`Rg#In>t=_s}t?e`6;y> z>a|p=+mxBuj}HQQ6!R9UJ`5(Zwvs?GkW+;W4g8ZP4IeXR_=vG%*%5vwclXGeCnsiQ zO?a|)#E}L;heuXqLRng%pzi4*M~*ZlGWueA2D z0sA$NX?5E`N{h9ObrB@YfF2#7`OYbmhlDV8S<#$~jKt>`^?k$8dWNLKcMx5$Tq zM=S(|SecX(gQGN?NLcbJyh- zt{t13J92UM5q)<5(Qy?sOG0T}L#jqE8f@$B<>KlWWN-}Y5ayuFCUtsa#OAt~u##y{ zO)CxWF*3J(bf1}pO|cN?_<~sPrn`0?MlZMa-cHV;U6U+hgLQlx_~ju^%~C{#)Hbau z7Vc@5y^wNcRsQmK=JV_PfAPcjOk_nQ!sZvRVnLgDo=L6l?RE`5=Ut z=n$~w?hrWWB2{3{zGfrL6)f)%h8xM1mNqus&_Bh2XFkyJ@hat8@D`bnQBsHVO6C@!TOB|3FyB1BLB~as|#ZKE$QnPmRVX> z(k09>Alfu!*i_{M)}7zn)vW9GRQ;@rTl)0ba&gv}gN>4G8z1P%de9@@rmDt`{pwadgiow_6yR&aC`*jb>gYzny;<;C_O3IRr+Rnrh>7VsX=r80w3G941dsZz9g-3q z*@qQ-L}W$L;^LDtrN4cL5T&ke|IBwD~ZY(|Otplj^UI;iEd1 zWCX`l&MM9xT^u>;l9-3E3DhkZJHdmN$(Q_)=&4%}lF??`1G1<0Xx81kg)W38aJP-@ z$zPCcux3z^wYz(-61en;VF})k^#Ix6u!HClQA<2bvjZUs zq-b%IBSNy8m(K2Y>ePjuFh8EyH#;OKe^igIV~QhvJxT5Y#*#oomc3cO?Y{;^#Tzka6JCb4L6YFJrm zQAk9Oyli7)S1(uodghXqYw{g^J)DTo&}FbUYaeBArfLFawKrWgdo%0c(3g(E&TO9$ zQZqzic~0#ULTiVTf}3?})KjNMj=A|G8Jrapa|1MkbKsOrk7ssC;eY)p6}^tbR>-G> z{>%eEV|3jxy6|+`#QlV``@mo`l!nk2RXVk-x5<=QL|{x(OknY{lcPtSSXPu;J$c6D z>QqNJFFVQ09G~1bD>yVG->9nW!}30e2za^p`1-g=N~_kwIfz zv}WOyku_y`{*KNzII8QPToju3^=Wz8Jk|7`^$+eNJ7 z?8HN``V4*(}#$s!DhyD3$OJz#Jc+cFK9A7 z#0#nt{(sGjrdX-uZ_JRtFdwu$1P&7JJgro&U_AUNYU^$B?*b)6V&Fk)$w$aob7k7v zuO-$(_vh^%MIJ@=#GN&xcIS~N!(Zcfq!nr7$wM14e2Q`zP7%Bcj*@46YX`+AS$9- z_k47;@VjP8`uLdgiOV*Z@H2%QmP{;V62E~s#JUcgM_DkbfUdiTV6U$?o1|@b4 zcX0{tnkbb=^ca#JUso(;4tr{5-%i1{d@5UI7u>n;jHiY!SyD4KFHkQH4lQ4FW>I-4 z@5y{qDrW4GW;%MAB7@sGo9CSxpXsfdcj%4XwXsC}W*Tt!1KxjIhAmc;Nm))ZPyjC( zUO7`8?4ru!OVa`+O)4yYUQ>3@+Abl69#LhJ3nUmGlI|jYxkF|U^dQd)EWy8vbmo|T zkl!;GN6!)UC7Bw^CP>?)uPLX4?g_&JL4ktsp=;NzU(tO{LH_FQ($|%h{L8Sg&~Sj2 z2J%Qb94GAsY?aQ~<3}3Ui2pnq6B;R2#bS7*A~)YMgsWc7MRc-4HR!HUcRCrz=Og7` zE$^dG6>+>&3l!$d-YO(O*XS3)LVMPxy$jk~+J<}Lj&sV445zk@jhoqT)cw70zip)V z81UQ+JV#NihTb6zH#Y*e3wZu&^C;lvfo};n58Y-$4SjuwzV@}^MyCg4{1ATh{@ljK zdyS3!P9u8@J?bRXhS{r_=uNuIQbkmdv0>5~a~`YR+{lo`2!647JeR6}VkGdJS+Hh6 z`&(%xD$(9~>7~X-<}BJa)7kpXYNG~^diG9eY#gdKHtxpvsF7g#-k?{pLkn8waW5sK z`L3X)y>7K3O!a6dC}Qr-Q!rK|+52+5v{8dc)TBxy0Z`i5I1~VhN4en9C5=a}g2re* zfp9_HUzow)D--EElA!U@6!U6jBJG%iCZ$fXRbR5e1>Gu}C#^J3W8Ku38kcMDUuaH~ zV$}}T_b)J44w6&|+lRrRv2ee)Y>{o-}UJPb$mEH<|3T%1S+rNt~MQ>JRzBKy|E zS(Wdzj(j!Wo61j_qKnfz@=w@gR-4LtxcYVs?;OF7@?!R9_IiHx%K;m!i$c9v1Gmjy z&pLdWJE^=Nx}y(`Ulsg6TJJq|DJQ+%U7d8co?eD)m#;NlyLN1f{dgOkk+k6DO?c@} z+FrFg>U!1l>S2#qx^pfr6pO7K3|*c;u1g|9-qJyvcG0EjRNZIMtH=`BeE-ASY)pD# zQAhvVF_o(hOyb9H-xhs0-p!V5GudCii1D&qg z9+qQcZ-G;BIPVaum5s4p!4-r3z+^g&;q4{;HISd|&ccR{OUf+nJaK?)Y(eIxE6jd) zp`*f{x_y|v=rXgfBQtpHeXHMyu3opdPq;&4D0nacc-ZJVoUqd|Cq=b2Tq6!xNw*WE zA7{!{{ZTo#2}8m}p?e&O9?-y#oBzUvT$7sC%9B7A^y+Ew^liYCadN5iNp}NoR&roY z4U)l)1{))NY=YA$d#T34Sa)r}PdZ$6JSypA>99UF_VPL0n-a$$j79kou4XwY>tt7x}scr|EH(i?!5ec(1ZRZRrGH<^*~qZ&=1rC6W% zeijm3EevwL>T=XhW00pcc7|+%;AH7q?+z(Gw)}X0_urMe+u4&xYb$RViDeqj zf@e;;)RQiRv#pce5rZ@EzSh*#Fu{RYx#gmvf86G({ZU&9^W#>-6dcdh2}-O5-Hcw! z+x$eu^ym2r_8SZPuT*V5AWeE=Y|~n$PTQM)x%o$h<6Nt^F7aeLS0_CN$mwJ*N*wBK+3xToYBm%gu?jh+f^5amrh5#P4s-4p z!&Nzo;fGkr9pr&sqTw=6UoJyw3Hjw7@^!#)g8aG|bWSpE9|RTF0k?4Mgw0jkqwI5M z1I=2JtQM(~uk+)hcJQ+-BE$g?-#d+H)ic-!FiY^#c} z&JRsBobbG=JL-JZDV92LCw<_7U@8f2iU9&#g}SEiJyshTS^L;~v-wswV(E$%OZir% zE_?LjyAJJoe026N4J@d^G9OdbBUlOZPvWL4X6vL=8=NFNux9QxpQbsN3lCex@MSd5 zPV48>I%M`@$WGWuR}~dkST((m@`<8Cf~)Gu5Dy(|-i4c$H}cW)Bq@u(#CA7zwa!_( zGm-8Lj)ny4oa}6!Sc?Q&Db)lWtdx%0US)JCrMPz2=!J{~!BOSv{qH1|h2JrEWRF!$ zhq&>Z%*Q;3EqP+BMc1eXWgMg>?PQR_&dJ%q*XfuabJF2zLRtt~hb>4G^pmbvZFEN+ zuR0v|gAQ!E+yvGl_J}~N5jj6N2P!;O)kZdxG>ryhrnpdsuWw$Up0j zW76j`31nOK@z*hZkv4YHk3tqB!9@p*oD+l*>&e5?s6v-IU3C<~f;B{(6ElhnXxNVO zuG_XT<7?(gx7lk;yWalcv^n!O^r|*z>%@LQt@q%2lO6`i ziMcpA9&vWZeUqfXPGmX-IJr0hEsMgmpklZRrO%E!A35p)ZeG5nF_ioh)fFo}?go{6 zvNA+pmc6+EWd-@qtn${NQaOU9@(UB5J-BGrh?xD%p}%~g>1YlGUB&n*bWX?{wnjVB z1x~h34emm*(I8m+Z>O=s`Kp7>Rga_6kmf-^>LgVg|#^yJo(@ul=&=@R4<^Q^KX!o&8MRUnl&$ zxrb7v3_;FW{7D~MTpZ`@ZN5V%cSCUEKnw=TsM}Rnu<2Y}Xp1F?L!J6? zce1>mGVjOLd1-~LN0*e&`F{Uta`;7_%oEzJfzh|4zJFja^iPz!JdPR1^2 zkCTqJPO80=!j3sfdV_-jTmUE9YFU-EEbeWzh_9nIauU;DwK=N${IDVhPFtQ}t-|4A zk~`MkODwVJrm_~Nc082VR@{G=-I6E$va2cEGG{F7inA{Cgn`z48y8x)ZdrRVh+dA- zx+P(qe_+v)6>olg+)`A7T(IQA!ZH(XtHF&mPaL?NT)T$$u{t0(LH4UBXx+@LLCK;Ry`d%;{!aTg!;?9l(# zv7Vg<^mM@u5k-+n#=Zs5^z?gX%aF=KV|Fwv?!Ifm(FUa-AEIQ%4*8H@TT+%1xR%J$&N?!AIhts%}>|$WB~Xk+d6qRc)9p%c6;k2570)*6)MK| zs@K&9Z&-Xyx0(!>n@-G^N6GzVxklqDozkVs1;+4X`1W)ZFPToEDX;S52{8lL^eg3; zGY2~+grAjmu)2|5g*DaxaB>1qFxT|<{MM;-D!X|5tr>LAiEQ63bl;&GC2fG;tXGkl zgXb&o9Ov1^^N!*jb zlYS8Om4uHcTA-DD195}(=lGv3joBRWg4Ep9{Hbbh6NDO@F@OkX0qGr>xX7`ALPKJ07p68f z=<_!TIxKj_Sh90a*ct&bZ?9BOO9=re;S{Lh)&uaVRA~zb;ni036xWdE!0K&coo8 zpIK9!AL;DoYYMK-4WIZRwu){k=F}X-L5SxL@D4CC*tfU-B%)r=Q0BvLnExey52oMJ zUl*JH_>lghAJv2YfA1D{fC0<)`8KeSBiaI~4Mdxb0+t5xAK^X#o9WPIdXeW~Gb{|;NM;j#vEqdm@g1c?28taGvA6eA9ISQ7s!NZK9;NCG6l zV*ifJ%dRb9y5DLVXV#zTRauvuo;@lDp#O}HF3e2tw`1_@=Q~95cXDz|^J4}iWelEQ z9>0;U3`-E8jQ`5Zj2wLWitjyob+^f5ihS-wm>pCH=rv0%4T?wM6%6SLz`OZNz~SPTVBFH zL?3HKAA_6ED&-1l-*~>mI?7A%97#&lzWH~XTDhE_%Qn)PmiFSgQiSK{A9(&GcU0e! zQR4>ipVS4TeYL>J@?4yV4bdieq7ghcp`ah#rji;4$#V@!G^)y7e&pfN`(HHme z7kOdh&eiqrRBT*6khwInIu;~lyFdAK+s``&)htP|FQVh!NZs?uPedUV93u1+^@*4z@37l z4CCf#UnkwB*u9Er8jF(&z#U?W8aqO7i~SwyjY<%NYyXEH7oS5=<}}F_rwrF@ zRv%*U_v_u=CzRE@hvdv<^#cml-Q)XrVyt8NLPK>2gT=^hj;6)b351pUb&&M&KV9?SKx9XGAj%WLZ3}b!H9lLmF zSA;_btUMuiz+X8`@}eG-ji9RzbV-7)K0g(UcZ) zZR%hUgT>P0^8uP%9ho{uCYJVV-<_vE~3os#1V$K@WYJ{H&^ zI{NF`BNKnqZ|VP#Y_Cpct#cf~NHdVZV*}=P2^X z+M);JcqxJ*^(&vUP{4F8J)+o-PW8B7`NA*@j)Je2zDQn_ z@p3NsD&p0;qcjhdNO4}EMZu}AVV1QuCDc{1{MkASS;x4Tgt&f;eK(!$_^G5OE@s{) z++nzB#tW^pG5qN#*`QQkB`|Hz=DmFkNLmVuE{pf~k4<%J)+P3u_So=#CAh*D6LZh@ zQ=fnx7<++>no2mbFEDTPYCXOXHHf8uF$AA=ItnFvNI%d9p7ze7=8LumRh8b+Pg2I? z9avR>HJTUbx2w>F&__3vd3e4KFHl{dM*R}-+(dH3JS}v>#L;E|*>tqLVQL6fFXG2^ z?E<_8+(QEmWD-V)m>=<-lFPz^J?mND@?|+`dC`50olCO)jZ7*mXXQOu{kYB7R=>sH zuIFDESiSS!jJcDC%~aM;W;PD(qr5!y#y;aB!yRVYIr~OHIyZ%s*x{4xZS~;M8!K5I+=p^uFHDsZ? z^c(b2G`g~Ifk@X1iKxUZ@Sn6WnN=j2TAiF=qkJvM+tKLI!DtAu_w5wU=Xr&?@$EA< z^_TV*?|Q2A6>rw7S^AA6Vf($-pOBkT=W+*C=E)HJjy{*nH)-q-}|!wbQ7a7g1;Czhnt^{csd*L>;M=Nozt z^ED3nx@NGg|Knq~UHdrEkFU|k282fj1O|r$&D#0?`YkuiWcL)IVJFVq%1KoofiUlcH32z;G5=vUGf`JH$uNWYcz==3S z|MVmJ@v(2O;vZI61S4OS=O@m6V(A|en{$-)NXll?8>`p8F!E{CZSb1h-`khTv#$0l zVyx?vl@Tm(6q8pD7`Ct^$~8Erwl1=ZF(!TT!L*2&?kBndO_O~{VDf~zA%&K?$sGw- znuFMwbHp4ZyF=1lQ%=hv`t8Ct#;wYso(wcS|+C!_z+$Y3TVq?JVnO41@pjqTBAyJ_Yi-{{Ns_TEko zZq9a2?(IBn1#a9+4r#vIN=Ilb9o!2flo1(BqgU)f3Ti>Aa#|yhc=56v0{Q~PoclX@ z+8Q06EQa<$$|Sv~V=H07#z^nz^usT%9`86quULt)S6@-=(rO;0Ns^N~%(h!yYP-nB z&PtMxmksz0T=@+PO;%j_4GmYOJEpuR7wUf#YXz7Nl}Lk;D5f7tUNZeDa7@&uAR0&p zSO4^ax{g7HB~B9aaSDl1q!mnY$mr~})CGZwkn!Ey`>9KM1?MrTYr^=kgXgBj$N72r zK2hE;B;_T>woXp(F=c5=A7?ug%y3C}OZgV}d+Fg*krzbqTr&8P^v669fJ;hAkVa?4 z#Aas3#$@f^_2aHxKdQe)XX8m$_MRVi@BVQY(Ku6iL0*otoPgk-O4EXvOACO|88$Ny zjEXJk+`ZG(k}lILa)%^m>W%e;J&XJfCplX6jdNxu>M-H+=o zHNQaX4(kFN{7Cah;@Ooyf40c*O^k7tWsEh^1#1NNVp%e&QE<%08ljq!WRZ8=$=grJX($tY}sYrfW=J-TSo(X+~JmVfpv#}bOK*z0V)91L3$>#p!O zUuU>US-Q>l;yVn6JPAH2JhupjN|mz7&D~3$#GeX{-^nITEjF@euOZYhj^E&q?Euf) z!Ed{O_Oy`-4!D}cJH&iQ43;ij&lw~IyZIP32veh7qmGP@GU?e+XP?ph$^p5kbjCA0 z$O3h6^aP2G>yvdblmAEHD&U_7{E&y?3r=dLFGSM>*%2WNDa^;k($}QKVD}E;5`zYI zhzT}0p_pR7O?wjK$H>Wj`@P1~Eq#^`ODReizt2BBGI%?GH)UpS9=g(PZN8;ss*#lK z%*YeeTtZ7kLI@T;75YhdFBtZu&=mRffsDsk&*YiQswcEdsUK1`ud>ISVQ>C>!qCxO zs|q@%GUooI8riIK^2-hn3iY>#$&}qICZs1S+u(R!sK58z3Hu+LTjXPm%gB0WW;e`> zMZlv@4Z)5Kg6tt=!$7`Bpgg=K+;>V22I`$*?Uquf7!y&ZZ*X`LOMG5(Tvt6}uKCv7 z5!Lr{MlNhPvuf3uhJ_>L8+`XyZ}5vV)~}zz65jYq<1y5_vIRVb-@**;Ziv>&QaI7( zii?Tm|Aht&=4*Qe2e7)eN1r)%fGt1>;~L+EvP;WYA{)T`d;2HAPSs#Rew1^7g|lF& zZtn&OKvgA^6fVKCclVMewo9lW7I+XQ8&e8yZZ)}iyLp?!O^i>02HRBweO)?3g{GuTGVS$Za2`ylgQ{f9`> zppB`A% z9_yNr)SGn(jt&p=voR2lWQzMJHQv-TSiP6DFWg%~#_w(AUOGf3QCMxy$^yOP5$5yd!*n z=}DTK%nhQbz=77R70sX|w8Cv_6UI;a78igl_<0^bDU8*`R|_gW*m)-*J4kx6S+{y^ zX0gNqikWfcfZFQ*IqhP*S4|vFVR`5V}QY3M=Nt27=Oa9o=mLRoy8!GNw>tW{WW zS}*}x2Md=l<}KK$8}EWYQY&j$~-ZMSjkwp+t{buo1waqBv-=SPavOp&KsP>D71utB3eILN&2#`hOFz+=Z0`-iSDp)sD$xp6Y~> z6oWxdj$53QnV%8q9+2e|IF@fx_qaKlf;xfklk!_GM_35J%(!eR^?#!-vEyoZ=j zA^Xt$Ilj{3INI|Su+1(Y#&xIlId`L8y=K@Y6;H-Yc^LO!lf6H?b^P&51)xu^j@JGxCc+TbPDW(MY zpJ0-#M|@*L_L?bZ3x$A1O3eXdyAGap?C;553p+d&IBsJz_t2{*L;43%o$_p7#8_a$hzAo;6+*MsXUnKd&&k9M46J zM4t^fh>g&5L>3Q=^&fGNf6|5CdU6Rx__VDaRB!=h+mK&qij6}XUFeyb`&DflH8^qL z1%948azhwDk;UqJc*U$+cJ2oA`1ga_@KX<^`~gjPdhW=uPRy>Dc};A+is*%!i>XSHh9+jZR=Ayx=bM3B7ym38<7UA#@bWFe<4d&TA)=`VR1BRxMx;3ML8Hcz2FK9j7e zxCEZ)Mf+?4M|*x=Ijq5H`iA0sE$thnr_G>1;4e5-gpX7A&G{}O8 znZaiZfM5tG92Sr^$6IYK$b`vD-BLAKtyRp{Iu-WzWFr`@Y&IXc2v=UKSi|U|DqIp#ry>N8vnzft2V0Qgq>14bs#J`xb+^gGuhp3L#|Zm3X&Wa>)ek-|QP@6zgxOA*SL0dH1RRp658Y$H7#^qH9lGBfoKo{_ePq@1Gz zlXLHHj*Q%VKR0JjXvjvf$}q!=7GngoT|G^uGl9 z1JnqeQKw5JAE?C_@TT(Enxi1N0G7NIv^IbFsMKYH7rlF_zwuDl=$zD~fkPhqqk2uu z`!^;Pb{xCqRMj*|GBxYk`vi9_PK>v;jc?ZFO*{EMy2986qA&Qf;QjK4KCcj;yW)HJ zllcBI!I!}}cN2?!YnVNdX}g7!7&?+|Ky*aN!QN;09Ym8-Jn{w-F) z#9E&ZQN*kIg_u2iRrg)U7V22*N)pc zZro1kZ6~kPH@SjL(bI9D^LcdO2K*6=YuT$;uiT5GeyK*gt^6`*a{(Tf zUXTlDq#yP{MtMd?Iq!w5otEL6y_76lRX?xdk?eW#pn~5NJi=~@LU&2p64k^Z zIQmK_z7N-29bo;AA4f&Cm&|jdC2}ur$0#fSyzq|NPTone#6)n)WQR(Ur`TicW!xF_ zGyh56*)&wjF~26-f(GRav~4?9U)=wQiGsWGPV-P{=fmwZ)>A#)`yWXc%&7#A=@2g= zx?!;^gTZeH?B;>)Kon#`!2=XA(cTj5&t%3xgoeR>SN3gCMt(*R{gMXWZ(^mP!IPIQ z`;i&`y>#j1kWgh!bs>^M=vPw*R6W(PpB)V;r>>qFGX}p>TphR<`V=&%m2GoYNSaV9 z;`#59H8cDEM@p>p8SYG|j`zV?p)06ravmiB;Zo4pffj3fjbntD{3?c9yg=e5 zfzvFV$gt4TiAVm{pjxNnBAvuqKfu#U^;ZdiD^vt z?|;8R1^LY9t^F#O0S93&^y}_M;WJMY?YXjK<+6F)rtRU;1|#3<=ak7YD}nUK{QQ)~ zxhoH)J~wEYocI}VhulfHVOzwo(KY6@^eqtI$NCf6%2O~?qZ!g)D2@g?Z5AmxxNqB= z&IBV3Jj8?zJF3rtnsk;;1XmNX3dFJyz>o?fGp8-}(TT^N`Ga}$?Gf|)^YTy^`0gYdRz6fya+)?}!>*w6kGpuf3)HmcQqpTHj<5m^A{DoM(l=$Fs-z zc!Fq^Q_M9>&L48m07PeHs#XV$)>FDyNbljLaWM$n_HK#9{1=3L%DwqTXs70N{EtuHlt!=w zIi2l9XAGzFsIp zogCeCiAo@oYzSPHY<%z|%M3G>BFbJcfk;Ww^`NwBKrlk72puJF6S)zVHmpzZTmhQib`5>h^;@h)M1WEJKQXor@eyxDMJ0mxO_+Hai?Unui|2Wb%EFe#x;yE@+sFhEhDkQ z6IC~#UsC-bOWx2lA=tH#M;oC`!F$LL73&cHLx3tAvy@S~898SUe31UP7biwO-g{^2 zvcWaebGoj6jQ_HCEORM{OiPQni9b5{Mo0VdODtLqy7NE#g5D?UmYIxw`pkK)wm;H$ ztN20IhreiRjOtq%X}rU{kObty|FHE8?v@+k2@-%R-PcI9WPE@$4i$wa8&eH%RdFo| zB{(I)RdY44$M}cjXR%xRd+mNk3gO!?466uW0Y7@Kg;*9B^VLm%$u^Vgc{<;0h1m$0 z9grtuL&jAwAVN@CHh_{!?(`bWUJU!5B683l`lc3Ka-Qk~066?x8tBziN5tn06TfI_J zr9;ww+`2eLoju~)LD8>$DJ#tD*%|$icWR!=o!I}_EYU|KcUL+pbHu(nz+szLTuB#- zBT31whHy9ZB}q0?Xz!^wk#%GAK#A3@Uo^P`ZY8+RlsV?N%$)x?Vb|)}CtcoqS(?E7 z5>avwM^#t?#-$SDu@Cqo*Nho;;!t%scJSO&R8-qE8D*0}C;i51SvlVxU$l<@rdOHE znu)xDUzD&+4_0RL!_S)MO6hlp4Hk!en#{W0@Ucow2PP!k?=co?9{K)^X7j15Q|;aYtqOM z-o5i-#&a+7O-pZPpo7dw=+*gv+IZypvl4=HNee^}m=@`)LfetZOlT;;uDY6g) zSfoZpjX``J*95XOS%$;^33A_)(V3%c)AX10%N9v`;ygZg6AK@1x3!U^0X1yf zlZ-V$a*y*J6(#21IIe@O>?5nnZ1(ob4I8$sdWzM3b(%?hv^hZfe$ysi&R=9BuW#?M z_&W7j*!-P3Nuwzhi&7UBk_;hi$GlQ8kC0`FC5aT461m;>Jr%ImnHw(4FQ& zn;`QR>w{}Zsv$JRJDhAY=w)T?TfOrBheY*a7G|U8AHOu0rO!M7tCSfxSK^pavLt`u zQ&1?YY?OpM)K!)L@QpYBZPX~ZRX4`V%1GuC@B{O)QMyj*zIO6Qa}jNLoOrebGT;OH zFdtR0{y|)Dq|ioB3JwFKjMz6}?#s9Vs|06i6#lOTb6AG-|4{ZG0975$A1J%$oO`iT z1T27D@q!f*xS*hdpn|=j*udT!ioFrAH|)Ke#6%On7+Z`QW9*v5mS~J6CibW?YKo1s zyx;7(mumj+z0c1m>z>)!*=ajFJIhAC$Ljj1_2U#1E|HXDUM6GQKL-tZ^mxcn_2}D% zVwRlqT8vX0>+Xj^0nR>Ax!k1b3^i@6R|t}j>y7|m(RTBwsRu+q&Ss=B4k|~Totn)$ z;QGYs;Uko)*;mDUl|{#LjScy&fAnJJD&8&{9(!j9%}b7ld0{-O)TISRpcy$(uvAut z79GWoz()T9;OCBRetpOgi9jdy+S_P>P!v*aFt?g2-F?H{a>3##(1b09EsWAbiHORm zFE+4#`rkY=qfgG^Gv^NCeslmX&4+*f3BQmn#0;fw2Y!PkuvQ`aNlFvxIK-Wv5!l`Z!b0d{T}rTO z8z0`?-+nld!xdbY4&iLnV>XWU z`(6B9=>)Tgt5Na7t8@L8U`dP_hcPQbU-;vPvL2o|;edog!IoiU5(xo0q7_*z5isz4 z6E9VtEaJinVSHZMnX=+=?#nlmCHRapg)BoPtxxJ$FNc@-;H^G~Qk31;niYZGw3!gFoKbQ3jQ(VESWR$(a?Q$;_ruTh>zx~{(DNvCw(--R*Eav6T#w%E`s*0x{ z%~<$jXU+$+xn8BJ|CP;Is}5R8u?i3SY;BvU9}=TgmGI%Hjek{Zss4-_5718TSOFBX z0BgV{g0WHwr78@@9d5NcRN=FDCskjmFXX80?c-^}(hu3CPg2$+c>f4Vhviv0Wgts~ z-QB2XiHoYjy8U!Ls<>$&bM^&=QeqiPL2fnCp?A(*+-X=L>$gJ?U;`l)p&{-X+#^^* z4DN{~@`SfX`AsgGpMsW%D(Zw{Vuqg1tsn0jTCdRx7Pvia`^*K)dv;pa1=3t`?Qg0x z?vrfZat?H=sxgmVLxI#M3+i-W#qi`qzxu4^TJd6^Yw32-0>RZQTf0uXChBX-pqYyh zbrXL_)Gp46F!1B`r{-E(ZL-_N81m4|;QlatIpeniix(Oa&ENsknK`#l%j+$|0{-dw5?}|gpq3NO37A(Y`;WqYH*TpmDTKU1x&u4GE zGHCqmY&tJ)mh-C?r_OZ=G(~BdZv^~b{HY@{?8M%jQg7#cW3DMPh2aj7yH5)QT7^e= zdT~AQ#iflfOchaI1T)D}iYN6PavC>fZ>J=D^p>lC*s7Ij8WPkmXlf%u1&V2_;5Kr1IF z8@ZxtrWtVyQ+u2rnoRZ4O!%HqU*}|+*U0=zc$-xKmt0{RRGp^2JcLG!)c8l&15@^yF$!RzK3D}*5+GmG0ZS=srkX>3HZW&Ca6OsZ zcD+9<23KvZDc%mRKND-)h8{RDWsl0i^Z9Tiug?K77ds6a-#^e6kq>M>EZLQSfZqZF z-ifS>{{eseUyhNBGb~H)82Pb&$1wS^cZ~C{Nx0^Ylf5eYvG`xkBJ9fHJ+S~UQ-o(= zxECpsa4*!Yxx52>T@i0bujG3DZvB%w{DdN^23%XX0+l5jxB9SB012uHtI{81KZzjF0QvI5Ie@9cwBMT!YjW;B7y5lbLv0 zng$L09TBbv@>N_rJ)~z+aYc+ma2&h8dz!NGlDVchk+v?Wf31*smug{8RsQzl_!O+~ zJbjvzZ_awqglHc^7ks@u;duoFB8vbJ!QwJg+l#*)Wx9k}O}NF@z_OYroJ<(}04NSDhL>kF9-smS#@!k()kEF8;5~8U;kYYoBP${PnZqi5 z=@X6Gt0hh|w;%hjs2dYG?6XPJli#1Qv59Z#fEVna*5{MjFjk}Wtxa&R1!SmvFHP}| zuEx`LoNCKdR(r^LvpHhmsbOOnpSsel_;eWga6jSsNzQ#`0qii$kmiTd9<=8Gp(}g1 zhQr)=^8bn7?&3Y=@=bI6!z%`+-p6_Psu6qwVjTabP>KJl^*K9--37%h0LwIAoeVt{ zk9ue%_3=cDoIN>rluyi4q>m=u8dqDGBC{T#C@V5e2{2V+ZXUcpD+wEQTkP4A8u?A~ zpgZqB5`RAJ*Kcs&eM~ntQG;Lp&MKW8bb0*5C}h(P*~*sf=x}JKIC4?aJQ!z$N6pUi z1~(!qNCq);W3S-k!=Pzs-xlVibo>3rVEqRk&s&JWFrN&s$nIqWwCO(VwaJrYn2C<-D*-o0r?VSDUXQuJS9w#tDb@i}f*<3wnPX1L~-OYhtmpONq z#j!TGtr;u==I%BZd-=gLYUiU1E-n#gNB_09>Qb?C1NNIjIJ4gD@v;tBgGJbDW~v`k zZj&`PxZ!E>gF{3dL44s~*@yXgU~#ZrF??ENKKZ$7nH|zZFVS;;7iU(lB5TM3Yx>mi z{c>N$3PBZ+tAvTYxtU!tF{WX6UJO#bX1OwwSM zz~(I+JSabd&nf;EW0zmlMN%< z<}c}0T)Hzs0jp4K$ISQ>#Tejn`U7}4ZIFo!AV=9yscB>jT-9uIT&o6_O3gcWVQw1h zHojsd9LlHL#G$`$D_XRB{lwv!wQEMkR81_wl+4AN)-rYyZiSh@WC`^ci)x~X&-yl0 z%KOHD+`IaY0ZB{BXtf*RI&Xwl?9Oc8>SM6`8I7mj82s6_a^7!$RPTvQb4PjR6^a-m zBCAy9@9mGzzk81Vn*mvLA@S=CPs=z;+m2+G> zt-hCcKhTl-B!inM)PR+i%6b^!BArVH1{Y*`76O%wn-bl=uXi3B+-V$?2~CpnXm!%BX!nsV$ZenwCGN zWpjyUPByJ9Dga^TeCX7ax|zjGuoAbX&p9auWNbaZ6`P^aV%evYQxjtLUcD(SY%LuMK+K2{c4zzWJu6k@`AGkwz^;?~39rvTVKc8E zU(6~Gn~=rR+6NE3Gi*EK%~m-pKJ7<6k+}8|N3b#V(;;iJ{KI_GiwJdWLs>plqJ;>Dc zc!2(!!^5V1&^^KBn;ne*eaQ2NR#*qem^Cn_ykDPh2v-9MnX+bc@lqkURNy8M0?UpR z8qC0@U50tdBj%=#Ey;7HJm-7k!)m0n z;ynJpY|q<3@wdgjN~ZyVhWw93Z08qsnv);-CJ=e)oVelfPegQr3x!JgVe$Br+1P%@ zAg=uM()an|q(1GU|6m8%KpaHAa(%Y^9Whey6!zc62VwtR4-|x7h^QZSyZ`q_+%uF4 zuNwSkrTfx0(|4aX8mlkDmis?;<{2y5)wqOB2&>i{KY6?OW_?G0C8MLpQ}jP*>&^QA zUpw{oDt7An?T)OC(mZ>g$S9$79OBNrUF!Jb5Cdq-Iiz9^Bp3gm=U_w_rP8Y*1H%8G zCJ~#w3^BqeK4WaVEsFS+h5i4X#+{CBm2TM|iup>5*2V9zKv&>DJZG=zvB|}$Htx$BS^4FaF{6Lnzj8>VZ=*g<#A{RQ>?;HI%xc|s z!B@ja99huLyUMFdwJVk3cSc>@yKGRsdV`kky)-Iz*`n#8RL`%=isOSvo>JrYaZ@v&uY0ZWs zWoa_T0*_N{*8Zjhj*aO>S{juq`QsndWHGLM^{|TG^=kRpLjG#kxpn5YeeX|7U=wf* zRZ%_U8y4v48DR4*->LrlUADFCvT8(h^oUhmvJ>^o;0-Qm+r(so?;1?p5u{cwjpHX{ zGS;%(B&nTCY`nVSQK??r-lHau?A^9*r6%Jxb?>=lY%B{-J0qTL7;yNbIlaRh3|X2a zQgL9M+G)v<27G>_$s>~E0s`WaM@(+i^TUZv8&CYO_iFL)@zl`d>01tdcVN@>U}h3; zf~RjeV9*#@;8n=BYmQmVN#of$JY*zitxWN6*s)Gnm)L;%FfwLw=^oXxoHGW0vvBe!aEIyWs z`;adBvI>>jE;wq8+ZOWj8OC*!+0R(ah%kD{7B3>%FjY!Q!Gj(u5`)64P->7Xo8B~wgK zrq!%XdPdewA?8o1JMw5&`}SE!M=H%l5Wk==wD`1NbSw{#lc0r*jBe&vXvj=D%T53OE#-Y==Im9!01oiwrQ8t~7>8sI-G>)@zM`<4%mj2ygt-=$HRzoyg}kpA2+EG@RZXc5p4W2E@wr zD6gx<#M&=9n%Zi?gx*a9#1@`qZPYomcXTBSl8esLasa`p?Zrd zJ?g6sa^Y*4fRED%*c?d?!{$J=N*izQ*v*dG-YYVuk?+`}^ICZZg!+nw{6VAkL2f?v z62pV>1UUIKIEg+}Htw-!T1=DOblHYcZm> zgB{hTP#892jt<^~&bQN0Dn<-MQ!|XZ`bFa66RD$5ENahcRf$RJ5BYBrxwl^TM*ap3 zX$ZCH+XD{xL6e)@kD4?gjdYCzeo2{w3^_-7CK+q1WF&t|Jj5?(8D(|=RPe)xbvnle zu-ffgxA|j37V`2NagULwmUdMBjp*65n&8&hZs9`@wQAj*BPR94)GcwzaheBrYAafq zPMSQS)9n0ge;P=726ARLIU%HJgMZ~>LJK!k<=ZM{@!Gt$x?R@SBZeMc(2o3+u}9~& zV6~b|-rl!*%P4<$ziQR1x>(wzjEprLo2a2H_y0I*>`z}TA6Rc|t1kTh$P-}ZB_~FX z!k=JfeR%S+0d-$GS88DMv$_;_F_-bH=vHsgvVE7*z|zv`!QV%TM|D>qnnN~&bWllT z(;zlUkLTH`1WjC;V=Yk53=ED&3ldDB7o}1TbFMJ;Fcjno6`^`6cS*6TBK&Gg=N+2C1^ zKIx5n8OgnO{61?o{@(Y0zdLwQO9fuY?l{chx;)}<_8uA8)B`h?Cx;=5pskFg|7I!bkYHQV^ z+XoTH)*V;hkPj;iWKgFV49m`rJi4fT-LZS8G;LSCM75^Lwx6O}waq$$t6id8cuM2I z%2Dltd9hqtxfG$5!#jZip6wsqu}<|)O=?oYn=K=1#IePREntYC>?=fekJG!Fy6I1X zLm`PH^g%SQwmA#5JD3;Q6dSR-)ZyfHAOqbTr1<+e(SzW4BnIBr&PoX_TU);t=dPrs zU11?#k9$6UhHYR<2i!UmFB#6v*3M(0X&?F4wz!VC#Dc#5iUnOtZIkrUH>8RO?xDOy z==6^imZCcwvPgS|vltsyp@B+1!(x+Z+79CmCbrvDX;A|L92PY}JR*}i`pk+>(xl?t z+M}>R#nW_l1?MoR#CxRG@^nsdIu9Xf@`o!F5-z<8a*F(AO0A)Eio1E0L=wlE3RYG- zvhR!*qCcKEMQYLy{8Wn>eIwQRmYNkxJPK=^yttq3xCpr{hMT&D_gy6AqbvAv4gA^I z{Ji5((NLX1EbrZN)ytCSFj z9V+_z(H12815-CKsG@)Ds5PA{IO+ls9Wuci%>bXC@5;yYu;kKtFzk`x=pymnaJId) zAZ~KlF8*}#u_gUueENR&$LyI;KOa!cnh^b0_26=*@Ral=Q<81A z9h*KNp}2Ti%(rqC7dK0J7nkxDby)58Bi@_Wc=p3>J$rxhU`E5_ZUf>E21VAc?cXZ1 zXSl7$wAL*rCDm@&FQak%nBbb#si4c4Hpv8V+t#%d2X*FQ1v` z??|04{SOL@ffMC&kdK4Sr)Lzdcu@M6MSVXms?R2IzQwFM4P#j?pNjRP$5f8;4F^lU z>hpP%mLt;+6GDg=SwgJaXy zb(_MH#J0$Ovs$;A(=Rfz-<&oL@p4Cl#$z|^TbCBg<~0hf7*yHay>d{+(fnqm@Ty+K zMp+)#P~WZ#`h-o>TeY0lt8U$1(^|He*s1okzp|26kBVzNdJU~b-<*f48FleJ@BzJP@r!7_o{C#Yt7w%tTcY7SGJ(Pykb$f`M+v;@KtP$sP?$>rp$2lC-xs{PLeQ z)iNQa5*~7@%<_cJ1<6G&q2UaNT8f+1hFl6+y%p)4{L{=pbxkeZ@a!x+%Vxb0LK2Sy=Q zjN$5r#3Gyunvq~dhk`hA_f!JEIm?co#hU>p;l#O56Si@ss{UM+En)|Gw_jsl@i%|} zEdtrk>}QwyGm;V`TQ+OSYKQ}K24@;$jWSu}SXNNT#a!8y<`a&ZJanu}=W|3g%+noD zXn0tVlV(<*EdJ>8S#KXS9479w4}R>B@RS{5B2Glin2apDF1)lj(c#Da3&0fR8PbX_ zbK%pf=0mogm%4LDf2H5UoGT(qUuO8GPy2G-!H}80VldXJ8lA6Vrj&S%b;7g*UETaE z%ZxHQ5kQesQCkGXu`=H4kVZOVC09K5&r)#%`#@>Yow3!UhINZF@-(X^5iKg!Wo`jGHn1r%F_RXq zVBG)GXxtP!@$I*~9`3NQ%o!=&!rN~cm%je)S4S4s58t>jlZ_S0PvUy+g`aBhiU-!w zsDLSl2n~04L83HRQ1YXTJsl5Z<;~JlIiEUm&gKPKp80FS1wx4L_-nAzWc31w=--PShNA|@_m8Jk(I_gNMxSOn~CH4 zZ@e1!x_6IDdggqImy4^(92hq(kf2v~=#i6E&>(=nLEyM}Dm~fF-5+g1j z%|Z^3FHUqHWgWfBvN+|JHx+}F-&HT#?N|vp$GRf`MC*ck07!&!MQ)v0`JIVs!WPMj zd945N!{*Hwhz)$Ldio~>k;s+=~xI{PH0KzBSf;rgIqZL_Ai@ zWopUTU}#smW>A?jV)FfgtTlH_fYoGXtun+4wtwH?!~$)Lrf;(3(C=vgrhZ*OXDRmvOwq*et-QA{=W?<(-S8uvU}@yj}kbI{*Ybe z>`&GK_uIZ^mG#%W3is)7VcjxR5t<9w6QS>XwU>bHWryt&;Ys;j$bG8@EsZny2tWRC z<(}=ESvVK9L>-Qd*qfqDza8u{FNp*9v$(yETMqgSK;F!nKbUZ?C&^FFaZ?4*k+{mv zO%B4jx_EiystZ#E{n@q2N1P9r_gJR_j4T~Qq{P$gb~7N{;ln=sXV<>t-d34L*G zb{h-%RAF7&_RH+4{)Qb`kk+f=urti^M)@_XU%7_Nl;n#CZhrf;(g2OeNtA-Hq4lkq>+7x_C5Q-@`&V6X#Ty3ZgBWvih9j>a}GF za?|yWSG)cX3HL;!?@hs`SeXyXA#v^yKVq(Ml0r$Ni0~>_uae9x8PF8W^m}(0oBu(n z+a=kS#kci`-}YxGSnp_TBNk?g*pzcn;bEfs;y+?oBrEfB-@ca!Nu6x;WI0}mY5VV- z2c6#rO&t5^5sf__Z-0547|n<1M=6%r%Hs_pTbR|$R2IQ_)mzwL2YmTgOS72Mpc%J0 z*Y9#~B`2HFE!XR_N6eo8b(Mxn4k3LpKtJi!sb{r%E#B;zcs1%9XZj7f+j98ZDQ5k)Y-2!Eb!{ z(FY$Zwe|D*pKy(@y{Bb)2RPoMY_dP_6E4LzcwssrG3sgPNw@m(vmy$9ND)356C;-lQr174b!}rqrl#m z8C3fB!~Lw1oMz(K=(bUqrVj&=+3i-SOHb?GSIjnfL*K)CYXz(}l$&cfa-gJgL(vMu zdIy+U`H)UaYH)dvv*9REo2pE2rp(86}7^r72z><9E zqIpqDrw{Hdg!!AH8zi6b`x|yJ221THVud%mx203^FR3%!*VAieb(uK`L7pXVYTaX<;Q{hD`et<_TbN6y?a()Vm<_;E z8kDQe#ofz<)ItymkJZ>hJp-``wm?#|{&!ZttlwLIAN8E?y=9$dOliutBM12^@9
)#Ij%ExDQewJnTA7KMb;5Dy_dj6Y!emM!0h zdobkqveO5cAICiiaX?&P5l{&pyk=Wo6*QRuI6l%&(HfA`3_8G;fZ|ciD^M;0E-!hw zB8`mZ!`6SWb>(j2+AgbF$1PdJW~H8GJ$vk7-wTU~!v6IItAR5b#x}9k<;$Nn{i1D~ z{U|_jemIf>^=Irax$a^h5{d}-nnWqkB-|fL2hbf7L&-rl@-wX1@pyXCBdTR6rGpI~ zdyuhDXYlnRNYsvJ#mcYRm^QKotYixFujjh&V5vyfe=~pdG26C*Wv7eYY{TI3;lJCE#%{Ui*cj%>)fjRqkq?(*?C}~>TTRzgAYnGf{2uj@WkD6-NVkp}%WP6WZiC;4I&0*$0WwDL< zOhA_9-umLv)P(gHF&xPz*3TL1hg1YfL7PRU9Z1ItgGwc93#)>H+}Ll^wLVx@XL34O z#EQ*Tw{5Iib=&&tqWK&4V$Ra6RV-DEXNMLo`f1JbL#$idQ+-<}-wgd~)ug6XR?Uq_ zlHB6#;fH*DAO@#@4Lf zxMhWS_SxVe>^%E%#IT*><;K-W1u#9BIF587N@T z0Q{@gAV0~p-O#CLUC{ym; zBY&2CFvD-y7hn25xx!dSw|Q(>C1Kr{{?akVV7ac4N@+_has-3KuB3W359Cf^%jnK& zA7dtYV0Bloe}D3Xt!uFx^$>5rc^?5+cJ^C1&wbf<555RH@f{0A;qMIg5&z-Rs{8N) zmw(#nHyY2_$E3+UZyCu;Fj#kp@L0JDl-=?)P}peL`j)Yh+xnUTbHcaAWkp& zaQzxSlsqobjjNyNH`s|k zQ<~qvF2n=xbN}(#9+sg0$l51}@jvY5c=-@2^p__ZFUHG~GivxJpJPngeaj6K?ytb& zn7y<>2)^QJ>`ZYX%<8Fr&Jjg@$ojJ4?FTU={+80%eCz|5SekS9AC5Q4bHOO&m zZCSzkrQxPw=$0+Z8TR|3q8d{*QFf=EIrGLAyeaR&>+jpUTMS~$Y2Aq52jl&r2-JkI zU>IM9N-8uDse4>#5?;7JY4MQTF8B_})9&4`+kj)I#0dl}-iV#A+mB~KTqKJLZCZ=F zykFn6GG#}nJb8lPNRaq#XP-&^71n6{c=0o9oU$l%B*rA2vsif!+F{derTg5lo(=&s znXMGOz(rwCWzN?3lH0cZJ*so(MDPKg84!PYtX;R_YwMEPbEl1}-1?_1c22b2kTk46 zO8Q<4q60?7={KjZQP;W}{zh+gIY9wi=r{dRS5l#A6h6d%={Ik~n(G0qIlID|OIi%a z3z*YPWpLhw2)`qMKY7fYI zEyYv|V=rV?u!s6j!lwVE?#ljDNo4*;y%yx2%l^)&&5CM1l~|IS$wYUDxzX-`BLl=Z z41d8}iEB#f*LSe3`xb?!6W`837n#E@;h2Y_>flkW5*wQf=MeB&oD0X*%5c2E8}NVW zOBAgs^Gf$b?Vq>823%y{0xsO*Qu3&!4HOjx2{f%)=6(sHl9OF7yl<;@4zhz$j6~|o7 z{f%+8RkD3oq5gZ`**}12i#*&b^p!DR=ZZA0X>ZZ~Xb&*$Ez%z~kI)~lG3Ubv^l=_# z;A8qgw&&8vd4`1lMbZ8e{uc&(`l=xP%?q8pKu`R;9nUcm{(%B;KsV=c_Hnn#ar5Xl zMvi;1Xn#2_R36d6gs%$HUzsY$HTLI+)En%ab_ueFiZLFRLkz_+v`ha={+z_uDQC1> z2A?y<;)QGhUimPa{CoB;7I#`}tv_C`#GxznLk!=eIBTZ}4z802^3FT;hdZ@X%k+$8 zh5y|>f|+A>@^U-1Q2RgQ`$>4|V6V0lXJzmXO_h;QiCa3@yCdQq%J+Wsi62x^R2#8T-y z`V(*nZ)4nKdA5tdb_hzv8P7n61+Z1(4)dY$=+B6jt<+-#W=*T1t!U0X_gf=hUSdmQ zmqz&@f>W7!(9n+IKYF6Z;HROjT7CNDBfv3W#PAKORTEP8Ny_2;I8bSIRowac;#G0` zswUcG|Jg=yrT@w?u_kS?CPqyY)LEihOMLMC`@;49eeG8ES4v#=SD4o!KAfFX`W9GM zr7x{3&G|3BS6v|g4ZhcU#^if=L(FT)40X-SFQF7jpZ}hsGwp z@dvg20SEu6&0hmYQ`QQBzABa^dH1{t$m7n9A;V}l&otUm*O%HMvxW>5OSbp#DBBGg zgA5c`?Co!5J7fSjNPP$$WWo=y82F`rz@`~Wm`!8zsZ14$3eF+evTp$${A*ztbV4U# zh%sWcm_qs&WdnSOHx)#J~f!yP$m83dd&%W=up~$nm6o^|yc_ z`xbz4Th85R&#!;;wad9*aoQpEFWNEpd}GQHU72Z!F&=ux=8)KR|`?Jso{9MMAkdr0`V3-ky6QuhX! zFn6iba&@V54+;NH(f$(toud6E{QE`vla38Afi4ohp)*P68}J_#?Jwa!DA2#?8Uh~4 z3SXyI)hTfn^|KbpUUU9Yv+cj4wBC{8CBJ&Jf20O2{*EwZIFQ zlXlE52aTmK0*NB{)ULfC_@M?=d7B&R3~_)%xV_bcHAUr;^a*q4OiDuMlNhx56DN1wDAUPqKi9l_afLxK%i=i@a_C?qtOku3(Y3gvVxa*^7_>u`af(1 z_Uo<24eH;2(0H*^>}39rZvFC*`S%*#PrUkQn|Rr8bT0=_yB8Qs&y^#0vmr+@(vQj4 zF4z8w6SNKNF4{5gG|c;%fm=1^hdV1sDsn?O7v)1ObT;Z4YSEq{LI_mG6H?<)Xd{uW z(Es`4)$1p`1khr|wtd8$ftI-W@RwVUKw}9rKW?~FCFz5^Azw%wUKijetgU&Uft&Ua z9Az@ScB~cpzko0DwqSqA=RULtm`EFveBvu(ZOvcMxTfr){m~v^$}ZgB*(}G^3-rf& znZav-b4B|{;$zT|)yV7yA{XyI$KQL#mT)F*Nv%QS)UM-F+MJi#=;t{)NX+$uW)m= z;2N#Ww-)kW(VuAemA!v=+25cc&HXcbduwW^xx<%81RsV&{z}P8QrP<7CK*cLka%kb zA5!gFEnK7z$P|dJv6i^^SAzA>SEMYMIC|*BxysXQH(sV3&PZ@|PyADIV%pHr!|qSC z(@EQ4m-!fyc{9$ZFeb_T2FIB0VN#WpRV{c=$b!58!}|&gID}ifB`{b^abA3xIY6ZI z!9C_q96Ea90_Evz#HO-yoZjf=^yljJiT8(%9-21Mu{PQUT1$s6u#cGtJr)jmGv--V zj!ES}5x+!&gQE;9=DAt?gFDlEki;3EIe=y8E9`@^2d{CPUquN+y&Ny|*6J7(G?%cA zF-;>#|ClRET&R7!p%c)Ky$!X~{L#L_feTe(#K8nAXA(|ULrW1Apj-!JB6FaQ*aL+A z5u5p7JIUDt<*EK0B*(cU&2T9rf`44 z)2;*LC|KJ`e1WnMwzL$T#kylN5iaXqAf+fkbF3}2`=ke{wa*>7_|?b1uo)5kl4F{5 z>91_#;o_*zytxY&E@km?(T!u`Vz5$$VPcm8SWqlDsBjO3fh4OYB~@AY%g0|`JaVpf zD!VTx)$8A-NlbD-W!s#k3m43thZJ@_hBX7s#?f){084y}wJasq{*?w_7djzt?Wx_d z#`0gOKWI@3I>fOyj&`Dv(QeRGwnHB}bW0f+Jk*Q>d&>+|LYG|@=?+yQ(&zT*yHt5< zD3I6LZpzcNiRlJU71AFOK-};dNPiGqWAcz8Lyf3DOZ)bi3)ptup*$U)J~53z+Es>~ zR~<59_zPwOu0uxBmnE{{|d>@vZHqvKEy4+t*lKD$59HCuNV>xA6BXhz9CFVxh(7FrA?>eeP&<7J$~xAsey%JUvTiFV zE4i|3E6B@ee;{Q&qCo#VSqFXc^FH;bd7A4M?Js2o5&Qi8!5@aK*DKJU_{orU(4%mF z2|u!Ee+fUbNdE^?*6SDOFJ)Ki640d(d;|XmMf*$m4T|>9C+l()Y3~hLr}Yap#L^Kx z;M?w#aNi#k9z9su28o`-!}YT<&70G@J9I=oK10w!iZ$ysI68dLeG+748@k8PXC%S& z9jL0t!)|C!PBKX8%1`Q})H3QWiuoDxqJC@GTc@Wi3H;E`AusB;#&_gi;>50jNLS0~ zh%1Skj_-)x9!K#IB-t$l z$J~K1f&XmSRKiE%X~vuj_m}V!i}siBp)m{fH}LON6d$4k(WP*I2|uZ5e+fUSXn%rZ zw_$P=$)D?#;;>=hGprF#n2<8IO&_V<(!1uy-6%%)%ed6c+1AE^KOX6Wf*!%p+g(a#nfJ89LP@YK;g)Sl;fzW`mce;K&w7>j3aI)kEVfMPM9uv zMZ(iMO24#HPLJGiz$@lT%5`HtPUQDtP720>iN^~PIKnh(<&1IOF5-THtPY>g>a6~V zAD0u-KW6@U0~xYlu4Ig3`bLg3T#hftk?jZb+G(B`KdQ+1bhF$(yv0?CGR7BYK3-)E zAISZ3$Im6GxJfc0;Thwrm*w~)4Oz*#Qw-~tE4zcSrK0{=&tk374p}t62ktbP2OIqn z!|SD7hb)ey%#>W&0{miu)QQCdEM-}al_5kxJgZJsH0(c(G!;^e1_1(6DDL8|n+O$PhxKinByK*t_EImf zUO0o2d}Y8ii95wwQVP;6) z$ZJ2C*AANG#~(By%q_0QJP3br2APiDtQ!%9`HP!G6mgS?QV@Ujh8)Y#3$Ta9W)T0I zr?40K_#FPYl#2k=h>|*x(ohRq(Z^#AY%M7}ZO|bL1>@Vfwy`uf4TmWvN z{^=5a2Je{{u2KgdHqSYq-@-hJO)D~CBeg3BRnw@cKpolYn>XmYo-ogKX3N9>Fa}oBBCX4 zu7J&^Sb8ZiKORh~MZxV-%+*7q@U{|?eGZ|`S;~a$S<%k>8c8Qy8 zKR_7#q2Wvs_Xu$}z{vvh<*GWl+AQoRGqOIbU&WQ3Z2d6H(8h{y#Qp3$s4#%AW9s*I zI%;mz`&bDx!h#?HWhsUFIjK%auFwyQY>|Ey6+WW0u|2*Qi*P`% zzfpXs&cCrX8trLmKXOv~W(G{~iUUup*@9pX-B$Pab7DVnL|I}H21v9?$U#T6##Ipe{l@evUgZ8T5DdfSX^kQa8oV!_!-D)L*|8 zf8At(_&cTx9+J4z8Y9m6qm;v4k`8EhJ_>)X7Uo3cCr{inl+3IPijm>&sizmM0Qoa` zPLaZnW)sjs=G?<_OVe8RYzP~?Rovb5IkR5Ak)$U1FBufyzX7ahH|D)*kGQ!>JZ!76 zYxTD@t~JFl&&)J+!Mb$q`wq*S)<6@PSCKt+;gUIKJD$!*Nq<9M43u_nPZ2zE?F?k6 zvTSyHN|mW_>5Q)AQTa57>p>;|Oj=MUt*v;tN!;AC$*{H!`o|Ai;tyPJTxQnKH;KFC zmo)6zGHoflcG)~<$-=2jH7xOz8cmmX_+Cq2w_vJxV|Xl6YBk>SZanuHvI_sSvy6>= zULaOLbbc;lXIISrkS3G)^FsZ1y|aIS8S5nN8@?i4K=7rk?k?J2%IfaI{YzlK0Doam zL3@~Ur}$38FLu5y@d2F;_$B0iz`VC;e`!DW8t~~WM}G-_U(x<(4={r+gn$12(msDt zw7-P^MP7fBQ{@|NhW1+WCzZ0GN_pf`OB7NazmIl^(L5(}B*T$)>+O=)EWa7;CgKIS{S2ZyxO^Hux9lz9Q zC?D7jIKa2kCcvgTLq>4&4wHmUPE(et_g7ko^z1!IT1p`6%)AU)BO5ly9#`>@w)u?Y zVcBlL!STC$B(b{l+L+F-O}zWMO1#_aRue~PKVbT7+L zTJrs5c*XC9a8xEq*yjwsz&^3Lw4tZiMdB~J%>^!IJiSJKp0A`-v&)(O6 zy^rf*>(~^sx3Kq^lRbwBXUbRQI@7nC@hx&_im}j&EEM;?O90ATAzmz9_LtC^%U_!} zy-=I5HFOD83=p00M!}y3kH8kLM7+ZlBs>0ekm5>sx85H*%OgvQiH#T-2cA`3sI8!ODsf5`#P^I zu=g}_A&9?L8gLN`~EW*u11NHZuT4l zSXF>E_RIdRhj^#di4#-x?K~aNL)F1a<{hE<3_CrPdFhWH>-rl9Z#wjX{X7Ea>iOgr zu#tN~XM|-{3gF7~N~FwX2nSF-!!Zza&Kv#lBb|96J_H!>i8YIXA3mkCUD|F_jse^P zi)O)|1UQ|?ai_B}yqa^K~tqs;qqprBMv z-L(GJt@S1WU6td$R2EV;0xB1+XG{Y)mKt&!u)IZC(%#`{;!5w^tiQ|@@0 z9EXliY3ERdbO98J+Cu-Dh^0EU=}F_Fwzqx2gJPzUfX4b%#Mo!^#*=UhjQ7gHch2&h z!CWve2K}AKp?`q+wV|^qmz83Je6pIN^|#Zb6du;KSsnP%1HXhHKPHyr^^^{LMo9fW z3l{Y0do#XIe0(2u%76=JnRoW_(rrhzOAQMM2nzs6z@#%k%6~FD`Qc~MlmO&jDA5Xe zS;;hnJfXUv}B;3;>h@->@Py$Kj(*67z~ch8_(Dq zIp#;>5z`h(|FW~NV?4g4a5h+x@f=K}IC69CiEHI?i0&7F`n-<$5j|l78Y0)M32R70 zrw-d8XNL!{J~lGV^0LqL6gxRdchUOUc}wP=nR5)@D%=i(PWT}jFLTn&R5`%Oetv;B zv{g1Ks9FlDh#ZmJG|R%zU`OiV~K2tfYK zHJQyex)Jb|=|Ib;(P-qUiJSRz*MMiU5Yj<%`~rC4^oi&TSu9EI&Zc+gW;w%%NI&eE zoCj=!S{~<8eoob)vm~Zei(5_v+Y36J%9ohsCCwnM0)JKy;(D@aXz6C*#sO9SldFI0 z#K+eOjgQxELVTHQ< z{%3BLzKkVb(4W66!AjnRFi*)H$4G#1YdI_!y!1s%j~H@MrIJW zm|#iX0gn#*rO7@rQ9d0^JbaY0P z)zNO`?-Xq(xiQx**pBtyr2T>RdMZv^^Wads>>pXUy<~sczkXpjCHu?%4f5KhT>Q_} zQTqe?P>Mnthc7bb%WO#UgrADgo{aC{St9ay@R~85b5kgYJI8lu+q^}aHh4^BBTiI% zzPID+5j{fwXf>nN{VrXOo#@g<>l77XYgj+R)@wVftZ+pK=QAFR? z&BZ?tX9w>0>UDT0;#2ZZiTH>1KvCKb$v@EPj^uFT+|;6dDH+9ncDfb!g>ZJN9F~G3 zTIL;~f*jxzJ1n`6lV_;T*ll5qy22GX2#0A53-q=lRo*y9wXg$H;0hk5N`1=q6gp2O zIL02?>`k#=XXq`O1KKH<0`RM`0>`FEEm5>D@sJH2o%*n@baaYzisu*d&Q3*3vQ-BD z1SkI<+!_1@_>=e%oY~)UDvKX-kNg}dC>~m%@|y^h2Y(j->VeJpcVf>p<-)w#4W*653^H6L#%_6573+W$)o@j94LCc4Pnk z8>0}M+mFzkycZ;60r(zg=J?9hLgfT-#O7~1L;*o490Ugmh)CbXma#eXq4<3ifx-F| zFB~6qu2TdrJ6r=ZT#VKxP=ruSmC-@~W*NKGMq-?vKtV$Z7$5*!&W&Uhad;UsbPkoU z<(S5t-7#C69b-A?L%Vk2cn(07mU@39T&OmZQ^x)s0}$MNI2-XoXPbmu$sWhbrKJaj zvp@*k?P9&Ub>kM%T}HLKcfYTt59+yIOk-2@K|RT?l21+f(PiYVU*sP-%sS}^cPXx=gsNzz-796dDDo*x~KL~m)y#mfnq%*&CH4!i&xYg`Yoon<{El){w11{rdW89A^ro_t+C< zx@jTqCVR??P^hoTSt!6U-sw$*ojViM%IXhpxVoMarop( zhmC@dA@k4kd;stde3cSHw%hV-h|yl=d&8y`uPtpZ zNzRiTrq#s1nT>y=fMr=N1~p33g&+0N8}YC0{mdVrUy0m)vY=*J^M304GJkjD69aZ} zZ+ruflg7m_`o{RKc(DDuBA?nnH@+{q4BxvK`QCt0^5Z-h?*t=3$vKuO2{=0|>+f2}vN)0Z7FFG4>D-6*kwXiR-yQukNg zjqZ+5jP)w+jc*)uqi+g*N1xvM=R)46xt|-~mt27F9dvViUlay`x%yX+f?({RB;S-N z2{;bA<%jc5SQ4vezZM1Oz)r4(y4j!yv(RcN7VJDMdT|h|O%Twu~r9 z)Mg$I{;TMile_ zcF_TfjAG1{MsfVM<6p82#)6hBFjmp=-aY1j4E)Z~i(*h<&ZXx7j~YNKZ^nehyD^d2 z*w;tmQ0PAeh%K?n`;TKC^C)3ZBySxY6rw-v>+IA)tEtB3$_v&wS61N`EV_{4Dcl%}p$Ob9B~bGjlAHt~#^Y8}kT*kygKJBjKyoa$ zvrdLyKn~{-vP=L$Hq5*NJY53OZ3&Z{Ug>P&EZTxPn`PMq6nJcj8@&@mmN=_##Xa0C zaD_*A6viuyhA8~>CgCZKfKg82BX`1tsf z2`n*7j_!@Bm?1GQV(@=~Ltl1RoTHzFcT7z5?idyVIu$2BpyUGcFz`Tar%=3(7v&U< z7sle9S~#_#8A=D2oLuQkd%&O0`;8q1?JDHX0+hwytoGm9fBYR5?yUTu zr(G_gcJaiH;tzISt%2&2=R^q0R^At8(TQMPyLj#8U4T)XIwRl53Gczz#Hu$$Eh5TX z382SWa1GvOp-d~3&Zg@ADl)lc3{bWB8zBbN{i8@jMDE>AA7d0>G`pxzB z_G#6oRU4dE6z@NEYFuMhHn`4^zC-$+`1r(r?~ZMPf@bxfGG_R$mdzWtT0D%Z8^IG+ zr-Kf~;0=M6))18Tl5FTM|K=Xz>4FD1JY492*oHb=%QtSEHge>+sZ+-ddVOnSpJ6B- z=QMr#uW#Ir2C!>q&akZu#No(_iwC15o#`lFCH->HN42SwTuc;c!J2)VBh7hCk$;8&DIF~YTDhD5?!#a05#vx<$uxFK*Ve6CweFfe{a>+9nWPWd z&SJOSS9oP>Qj1el(oeNa!W#-4u&df(%ebq%rs6b-;zw$rmGIX*r z9{n(>OV@7ow@3Aes9P^&%;d2d4dY@Pjc(O3CBAF-k%#A05+cWqd-(lI8xa z=;vRhddsck+yL9RQ?MPijY!CX2mfTJ9zL{o0n%vd$DU|gZiiq4ZQ` z%aS$Nry;JOO;CGc-I2=xeGeg5bijhX$EXorlv->-XguOmHh9elyk_wr`?KC7E~-7n zi9u`jB3JJwn-RALNZVoEBv{G?$It4Y^5^dyJf;Oo9&7LT+2A>j^J&bvbIxh?nYscz zhnYBq1^6LG;D>0A{H;9uL>&I)6Bdi&zNhu8;xwzvtFrx1rcQk_nU~cMi9@V0Z_Jv4 z9-WT%AQ!ifO*2 z?TW2iS0t{AN&H_Y7EBvzaiQ~epaVIqm~%>tRJTA5jhDY1cX!L+p%c5RfKZ3Z0Z@|N zu3b<2j7H}qTH_Uu&gM4YZwYi$Z! z<@l897+#yOHTFre@J^1_^67dZ}{|CX0nidPspCkBqU@{CJEUIAqfct2qA1? z5Bm;5_FY6aMNwH)L_jX0Lc|RbWKntCxfc)>kk#vT0k0q;WX^p5>T_li5TEybe;;8c zlbY)4>gww1>gqn#FcCN>$~V$r@?w$6fDVyb6uf!T`8=ZmY1rzeE^eDwO_|v=Z~nrC z^S6&1SKe#vxWz2$#ckVORL?*BdCy)WhA+nj(g)e(yiP+#7Z-bq17{W#78cB$QGkD9 z0_<626dAO@p!m4HwH-Qa-fTUyd2_G2zH#v^_vyxh!cMspPxPr{C3SuJ)TsyS`jGzC zi^-%Hq;vZ7z*>0SOKP4wW9B?{C7z;>!i>>HOn%|zmtP>MsmIly(S9ZjK&+{Qn9R$z z4b6M8FR3h>L84Q?Q{UCfl9X9CLlgx1HX3#{47%<@^9!Cnp^YE9BZ!+jI$t}QeRt)? zjVrU&O>E?V>e||BdC0*%&4<-R(lYg%>awm?AOkw^C*|3o<4Rr*OQB=STJ$o2+X}38 z=rF8)p>R6JllVc89s|sAapqmI-8v@3KCZ5RDLpN%a9U2z#ECz%>*_|aiFt%YlvhMV zoC^=_s{Y6dh9;-DM|Lfrw540+-7RhEbP=LZr(PefgW<=%?D1|?X-4g^Y3bqzyutxJ zU_QKlo;WclXIf!eTKY?D+~ctc9lNm~BO)rwBf^-+Ikw?0&Tns-RNghxJtcW4lDGWW zH8h;YH~a*7BOlMFx$LnwBA-ROJ-MyWqz_}kALN6n>fJE7H?olbVZEgO0n0O_X~c*o zaf@}xe}De@zr6gbg0GT*eh;E?iYW${Nzs{Mk~|rmXg<+M{jIf=2QZ(cis|7#9x48SA{GUh~59xjqUa*UQLx1(H zTeqa;53Yl`Be~(KAAhvYrOG`0%k|27?VEVyW9oY*nAJc9^Cr(CsLvg^Hh^y-q74{b z8D?q>|3HnB{}t+&k{z2<7-6|~x#g%7HZv3*l?o+{T_v3$;W1k_E+wuPVZ@5r$8UK3_=X1L4 zio6|t6-xdC#Y{1yAv7N8N8A#>$lt+d4ROl+#mkngKW+V3I`M10r8Xx6Hx!+pdwcf0 zKYmDz?~w5O*GQpp*U2-mch#6}FL&(7!gD)84wy&yyn$VRZ5g*)>Zt}`nmE^T^d5f2 z?wlXs%in?@Bi9|0Oyq7kS>1>eM^Lf5Tcjl|^QfFYMzP0*=$}@PvL5BIHpTn|Glm2p zWa>!o;X@b^Tcv>p^(%DqV2z$`g{*PY_;=Nf`^RqrH$!Knxj2dS)}2l+X*1aK>d^l- z^$NOvJ*Za`sU+%~g849o>-ZM{AX6ja;1`q&;1j+pi$tUpoyVx(JLqRwNxtRvLp z1AkO{(&}#Qi<@6O^y0B&H0Ly-{&}E7dDl(g0E$FMO5h#&w0`7|XCSx^A!_HY+4bDe zu&~hFhu2iZ#>T`}u3?kA*9{zaK%KxQ9P3+OBySGzPfQ5#->W_m(%zEQKIB`L=sUj0 zth`QAX=cXs{5sxts{3cu?aVXcU;t6w@B+2R5V)U2C%_}wn7-?~ci+5TeUk~N|Jki1 zA~G_fq}$1pHbKc(#p05Aa~HpuRh&~t0qy&Iv?g(_Ln6bK3tSN3 z;Ou5d-C0teQm^$2hD2yKz#BQPa zB#6acq;zb+&|#y0TJb0gywOlsSJk7sd-unCbg$~R(i9mH{3M$#eq;9anKAwN$3J*@ zhQAW$<6B<-@Urr9S$2N$F`d7|dV93E0*@aw-C&Ks{ibfbpt=g@kv#aG z2PRaSRZ+-;)qRhJ(Jqw1bwl|mlW#qGA3hM#02E=;;qT#p{r7uTN5Uagsg#Oge4&43 zC-ko?U!Szu4K|~T;p^bUAs(0!VJ&6v*US7Cp(Zb7@RCUoJrT4m}OV+JhvUJ_% zY17rQ)24mTo|--lGmo&n*8nA$&+(CO&gn6n|mBO?p)Bk?c4 zFp_N^3dd|**W{FdfUJz3bBhWKi{|#s$O`aE$wD=(LPvA(Hvxg?4Q{8{`>p3+_>>@SCiRn>Z)8=quyDgo)>ri7#=n`JdE^6 zqjQ|=5oXU;YZFSHq8k^QF~V6Sd<#=F`=W|?u4=r&rtPom+kZeB+?u7Tb!v1>bSHU2 za8OQeV9;0V)nihrCHtY?V}o2`qAPy+vLGM;V}NWcjR8IfU{4D*7^LCq@!!;sF!Zg1 z#TSSt8Y`=CF8%`TUD0^ZTvz_IHICiE*f-rUnflh5O}~v8p*D^f33YTGo!GHs;%N4} z>e^h_w{KlDr(=Rm9tAq2%XGXR|0N2znf|kNEB^ocy!ykgf2cn|HMfXE=mnjdYhB9a zG66hTlrWTqx5v*!Xl&#&3l^;o3uD0k<)NYJg^3AQu5`@F?lqxH zX`i|`m(}(!FDT3`UsrKxm-J?b4kkbU__+LlDs|(aoZ#S`>;V%qGCWce-Q0qn@$`Hc z{bH}*jo&1$>ljsoU<7WJ#0*Hbjh3#M8tmS^pUxNiuq-CJeQ0`7LgMAiN!d9)Czf`p z>+{yKgbw{Gh>MEKibJ)1q?>+z4n|m`gOPO46n}p=x8Mz)PEMUW>%0tuEWG&cBq9#F z0O%Yym=N_-k>UcXEW2{?&Yg=ZvU6U2tg7mDgM!~?QEvwatLY8<8XERd zKTFg`r3iGh5TU7plqp67Eu&w!06J1P+uGWj4Eci_t*vb+T%%2unvfK++p2tvvO0(G#ND2rewa8D zo7d+6=;LkP6yoj{7M7jYzP-iLFfqd}s%|;a(IxpKTIK1`pCz=B6cS5GZca{NPgybs4ph$% z9GGDlAdMm!YI;I-Xng}C`v257tfpndgE~j2i@piwYaBn^l%_2p?J7oxf~XBf{c3UEj?c>g)UU>jl9@ zMj$}vXbb8L#G0K}w)ZQ5c23X2wLQx+LG(a_AeC96}%oZQ^p?S1Ov%+fXYm}pCF4W61?=Hcudm*V3!-`77XBEZkJo$qQ-qf<)i z(89R5`}pD04tHP7GzDRW#JxYwAF#`sN24Ho8vdfw|1CcU+@oV2#E*Zwd-y@$vu)Ba zB~*wKk{qKFlPh(107gG5<>OT24}(sm=~&Z`3~@oyS|LtGdI3DKncTLsmxr0W7e8|KOnPLDo;7uBmZ$_Sqcf;gOIqkTnmit?QVW z)N!Y-7i=f%p?JVz(98i94?x&(!X^5rcvx58e38p=vosCkK=X%Ub$@8WB_`pDgPm-e zdR_hHl0i~U->VnYR{*2%msUzfkOiptpKxQycH=*ySmv$BdSCd)77hKH4OUZ5^!U5!po9wm7V{nSrc*U@>& zDSg#X#AySwfP+Uc7S0a0Y0x7N;u2X5VHoJjFN{~M zseE40rq>CVnUkx#e?VwieB8y0=~KJRE-I29V+#t?s;h&mN<4jBT~bo&SSDs|t~Q+Z zOHwgpKoY>2q_lKS6uvMYBUqaGMQdhDY_In0n$x!~w2vv)3ua~fP<5Mlq%l7%^eOSB zj~UiZZoWRjh2_VOC#9w5PnfFljq&GBdmha0Re@W6V;O~q@LBIJM;lCHH6MM2MVDD( zYTLm#9%E0Ew6TY+%6E*O?wv98Scduz4ZV7nVO>2iGpm5tyIFb+@-mP`fn$hVGnZa_ z?XvpgZN)?F!S-5LQ{RZfct~nU`*rCO_IWr57DALpKWFfV6vi=)} z(n~bP1qJ1F2?{iuDr&;RE8`}OQm6MVUzL*Tw6G#AszXsj?tmUW)~p^NA4rW(j*Li7 z>35@Fa*E09Uy~9jE_AmllGn2}B_`3kJauG7QjQ#uTs~z)WyLu4O-+A%!Q()*#Ty(_ zj!D1hObOP5uOe|T(#XcwE~(#L-0$xb8Q7sQVMx5(`#1Kgb@lb@Y7Z&B!tw!EbHX+8j>IS#kkL}$i8zIf@CyhCFI(I@zaUl4 zIjxp|+tI^gY3-Px)9kHtN$ws?%yARYKZr5m7waL7@;16w3W9Y6hfRcXEfE)c8^sw8 z*aX|JQkpo;+vtR~x{imk(qkO9-vJwM^OA;1GlBQ61Lh0ZK#qr?0+l7*B|LEn)=_ON zGwCPhZ^ZsEvBm1o(_jhnai8uzssaON53Jp}xN=JJCH7E7b#+B~b+s5$?%~CpYr8-H z_}dv4^(`^<+1SC&4GsPJH=u33QO8T-EbwyB!Am4y5uBGp4qkSvWlDoQ3-=)iK^vh^{C+Zg7iD60A6gQo7DRipV;)g?>T~MG zty@`R<-QqTEE^HD@oB$t%f6Vg51Zo|9&rUzr{~2*$_SCNQRBydwzr_sWMb+@ zgYTW6ZNg_Wn|?}4nl94VqctbZbw1qE)3U_A&g7Gw+2qY1nWXpvtKkbv`$9!u?U~GG z@egR>fb8HPZKV<%%s#_Bmz=yWS>us>Z{1g5_Q0HON-cIbTlY1^vq?$GshWF`nVb>_ zuh*iv4%t~*a?7^%?rz*aaCdLNojVRJt8ZT?1faCFL^ZF+N!#Vct=NcOMETgOgayl@ z?nz)N(J9eUFw=hK42mS{b+gkkQPLpBdS(2Ol$?}0I5Q)nXzV^w`p8|96PYN^?~+D7 zOm?P43UiO>z_x1K)OYDPTw44FD`F`o|M-8+5VQEiT^>$4rpot%!HGE*zCS77dmrBHZGSzc^brYR>U+p=z5bhLEM zD=w~ZXlja+(Q~zLJ6FGeh$w&G`CdLLan8;j%iN8Inp#VA4CiOF_&8)lhaY(Yc3d#7 zT^WM0N%miSd|ryT&-?FRnmoCv_+f*z#M8r+xE9wvURj&im`ckz@~6c**mR6(mJS7u z#=z9WsTPb&CZnuWT)JqoxhT+IT(%6eefzadg`JlM2bQd*F~HY8bnYS%6f~EK>h2`| zb=@Piu6y!Xn}yF0_pN%KEW2mbvub|-{(raPsolfd@DhAEcZ$NpmkUL%BYO@Y@`1e2 zB3geYbPMNS~$&xh_uziC#68cQw?Fy!QQ2DbU)H3+y)cGl?QP2Pr z^v7bvurnG0Xwu9-zgix5) zx}08I@V&l}PD$wY3Qqz^r2dV^RhJG<+wqQaEo(R&w_R>&#sy=lqbVE|vU=LBNdE>Kr@%UIgEE1X4;CtZ+Y zpbLDD1(pGa{k)D=aEJK=P)wRjX%K0F8~v zbZ{JyKxd%%i1^L1)_<#8T$m9Ku`$eCelx{6fPw)5N?7Zve{D)kett}f+M#_)3RdSd z249gbL%%~1$sm7-k71Cpn9X9nJgIQd`A1Y=p!je4SHll^{7$R8*qX8 z{HLlK8>^nW80TX)`!MHNFEdt9sY{m*@hZlA+PBzi)RHBmJ&P&+Q0zJM57xh303s3r ztXkdK&L5xrby;D&{epg>fM1(Q9~&91GaWwZ9g|NvIqY+Ba+{!_c(9^#=e*+Z@W6ol zxL5M>diUNQ9V7b$@;>X*xog*olE|olfG*~z^Yb=7SJ8-3=YXb??) zZ_i8i@hRm~S4vSa?DP^3Pm^^h8H{Q!@|m2UOSvbiz{FzB z`uL0EQ}2l{X!BxcCD9&d;C_sp4IK>S5i|5^bSB0y*Zh3k$V_Gzu?Hh<=NTy~KtCi{ zIeP&G8wQ1$1B;d~hYe%W#UKA*Ohzn%!dU*2I^lOj9K2oK13E8Y6POnQ5?R=W!c^qy z9Ld8HL3|7hlNOyvuzvECgpS2|JyP+nM_zGq-18G7yXEy;v!}lP(E$ZrV`<oMbUd{tuP8aLQ6fIcKIkzGEs<2Z^w_06uU%sPe;}pKUbP3F1Jm)uE8vIQ5&QFL z^Tbi=YBtTf0=KVjRy*Eq4gw##sXfmIrX54aOb@qdg{M0koDIFk>|I=1 zBH?OpJDsIv-mW6_zi0+0NIFz4Q9Rd|N2~CJTRIE@ku*m8p%+1q;YMtjZT|pHc%)+N zJ_gSByFKTt+lj0gJdpLu^Ow9hpMe1rn7Cw%(t~wJ1?tPbAsrdx?PNQ6Oe_L?TPRGW zpbm$hZI7>OUhbbig6t^u&&I4CS!v_OeO|tiu_|tXRwS4-S-F0=cN7usA(!BH8d8MUU1#C>yOtoR=%xi4x%qEa-=`3Hf zy<=$Px!xlYw1{l!EQal9wh7ipm0btaNAAZ-4}j0m(z$tu7-oIc(0Jg${WS16Akk=I zLh}ymB}1e72m%QA)#HcrD^}oGFYRd7XxzOjUlRhr2XqLz%kW$wJyzIq)h0B5^wDpi z_0dPTn&6?!m(@ouUIe|i_-Hi3D^%t`zkT#kGZW}tzIO2<;ZwZCMfIcHNyzbjTJc9} zUIU%#0K8uHlRvGLYx> zJD{wlynez8o&QO4rlHZ(Bs4h_b(FF5Z^+^JM-*3%4-W?Q4g~-1#ueb_ZNoqg@2c}t zP0z$~KAm~JIzIS!*Z7ye=5RayavlGYaxeaJ9skmO_%k(pVYcv<-~>+X^e1tAlQ8=h z@ek@cKfXHs^Y_vB)#;zVmp;ydU38j(enBkA)8Ka#-c+wvs}OI_>*<~J;H|^ZpWV_U*!FESl-8Gc$&GqNHX?vlN1+28Tguw_L#+u!cN{R zDD7yEes6~S4cFUv4u?3T)mpzxzw&;s;P6JY^NtbccST$X&Z1BccCEnoK*ZLxeqSkk z!D~RAk=lcCaZ7uKT$#@4!!rYXH{jlUTy*=(xIq3Au2KLQWq?j3#H4aB(M^o7~BI?ktt-yLvHA8^P9baeV^dktUw zPU!)XcKW*k*ZBEPKFQ%4euO$%Jj40lW1GwS32S)pDFVKq^S{T|z~MM;0C+FR*~s+} zc%DYT|EecAJQ4w<)5bbHd;ec`i+T}qxM6RvVTwMkr|^DB;&77ZEaSImZ+G6_W@!YQ zLGn?n4O4V^4&?39@gYyd=}6A<_Z*IL9Dlivzm^{ILwoJ`%XR#fHtSKG;jM(8P{&`ZXFq9G~Y#P;PU*Zi`QHecOOw5ctvY z)oP>NUf$vI(D4D^$L+vL14+bzuZ@kkR`MA;O%i6fH<1g3sdM$Za;1l%_eRa9w&GFX?zz5up@2lfK!fO9CwZZo#eDDc8 zlBe(;mnZCmp^@u#8t4B{vOAzpcG7I@4SZ-m+V!X4t)2&5!|w;UhX04~UK{*$*e?zL z4?$ADap05v*6?o%Tif819oFz~3JSNw_w#c@K+ih(X~n;x<7@Ld-OYJGiQ@W@&hd96 z=H8&`gRq9nr#FXd_*@_4|8RY1i_i5z{`Ovc1J6^5o|QR1_V&OJ`d9jy>+{=kUyk2L zqmOYcXycgt1?Y)}k8vjbto5%x&f4H><4E|3k0Xswj&JaRe5UlVVRY5n=K*!OPJb<) zXQ6)A=$ER?b^2><3)=AW1p2X~X4mEGoc}D&=UAN2AExuK*&A3{wCf4jn~ut_s26z9 z6Yli@J{I<1n696QHlbb}-$DO?vWn(4+%x66I=j8*~P1>O`kWxH#kBs5a7x&~0iRm{H{dL~ z8E|->;2+ij@B^41HT*p+@E-ihI{qHvEk3W=@rUa8=anq(-`MF7)$z~EYdKuUM}HmV z_5yh5?e~=KtT*h#0mVtAd;PZHdjq!{z^Cu!D?%!LFF(%)5r4cq*$*mj^t&!>(AvYx z1p&^>;jH~$+c8h0Fji<5en2_&qrq&Pz-tWR{guPZVV$f58FC?q=U`dL|JR;*KtJm1 zf|E)RYBC5qKIDeyO?f|V=5P%^AGrvhFiu7NxtyV=PC3^kB`LhHd#XSPT% z0)9XKfxp3TVwcS+KKYE!A~$e#Nj$V<}G^mgVrhUx50%t7C)8zI$=pGKAtrel<)L$dXv-7}eY6;5AUpZ>+4XT@l-_Uz?q?AHd+Q_}RzWhS;<=`yp}KMHB(=Hu z)6>lR!>YWuhN=H%Kh_K5;ANcf@~qJq~&Z#?iixgC5^ZBYMrv zyLRd1Zr>JvU;F4dJ-6ejUAPjr@bRftq{hCZt&`8`y+W;$|k6|v6qK3z33(E5SL>lqh$8@w{^9fCQVpN%ky8fxd%qIM^%dnn2mLC4U^ql@`9Pa~<@U>Il1|^? zcV`I1r{OCW!(BUlzdN>%)K$a}r{9Wy7i`+;e`K&a@bB6#scRhghwSwI*>DHGGQ`-; zj_;2QGi~Uvvg7-;K)vnsKQIQ`@%>tCH#K~+r+l4;_H+3_6N!J4kD(Fx+jRNN=5URF z^7|kc%TU=Bt@yTk@J$YUo9%?U*MU!R(95m-ZuE!{3kd61wR-301y50obV>B1z#sAv$(#2 zE@qJfh6HgI=G#N^2YmfT{{14Zcf6e69l?wDGx7C@qnyF-uD3(3;EVK5!@q00!u1aL z$~-61JF3Uv&k!`S>-AKwcN`yjr#k3gbfSLX_lw{XX!E#^5BZz*em=_i zZ;Mak9(d@lJMe$(@|?u`3wQ*#*|nI^5p!mw)8c5a(-A_`kFio|H2Q+6L?&nC%HV|g*`z<^~EUUm4w;k=kVw(9$o)|tRRcTZGZNm%ai41x!!}r%{ql%6_ z@lv!=O9%Hv*0^yao|abCjT>=tZ|c;kpWRK6PtgkzLGUu%_Pr8s=;~>buyXV?x@;G= zJOFNRIX92XOvlGwgpS`VAhO}0(+WSNujMrQt?<`{cOHoUep@(XW~aYTk3n%d4!FVP z@O+IQ?ptvFO&b3;Cr4wtdEt0di*Oq4~_)8Nv4i1;@G-b07;*~sP4n*^88 zCsQ;ytK|5vFD5wX7`aW7Ol%2HI z(cqAUatQpGr4AHNB&|>%!&gKL?NdI`zq`V}JEuObe@C*-0zH(I`tX*t$~IYtcjxd{ z*>2F_NHR-((JI?hI{YSwYqF&{o;Q~h98|8WKXRV#ho2Kpw1JbHH2h{=mo)rV_#y1h zP}}Z@zy3Gy_k|0s_`I(*`uqL{epq;)<3p~PA4sl=50b0lg8m&^h1T68SLZHV9*Gh~ zz}x7obEyu$Pp(cp{w*bn2RXh&u1-H{_+neRqEC&@TsIRLY>-`R?K~Tg>EC_MziZXo zEw-=4f7jsm>$#Gk!>@5V4jUo|ahWHvv%GF@MeID^ z_g!m$Xnr2qa>R}K_(1PNukVMS6JBovr~c6Jo9*iw?k~2&4++ma5dU@Zt{n7R@!uEV zg#&Jc|M4!@kBmN?AF?8VJ0b7BCzovoMfC60b>yb!v3e;(yv=2z+YrEqb6I7GRu0!~ z2=W>!8k{}P;kvE^UaZ40tD}!J**GS6O@Ye;+M%@p8pDci#4%bp+}8C_cY;(j0Mgs_;m(GE9AMf`8gk09A;e!+<{ZZEaG zb>PP!6?44%=eZMf>&*Yw>pekkL_@SG*mA~I@YQKC)lie;08%s7Y>I%z{c4&TJ-IDsGT zyShNLIX_R?>2u%J%#S3uAAJasu9uXWXl)u0sPZyuRf&2aq-0yGT z{(ps&{9OY61`heQ;RkZ#{+P)n2yl{5mO~EYiXfi6C8Z}g$}{__U1~^2jq-;xqUXd^wsPAr=32x%_f)nd+2EPw+wcVubpvD zYYWHM;J$V^_AfQRN3%;*Z$Hqv&tA#1bo~3^#3zmCw)lL_o@1x)vP1V7H2Q$Mp#5#| zVHPM}4}9ni;)RE4mjdn8;63bcVG8qRonZH2bqs%^URtX{0+{bkY$5q%0^S#Jg9Lr1 z^3XFnZ>iI@+b=d#J|eEb_%Xn{0v>x#trP!Y+eRG0Krs9Fw3cL%cuqGn%@U30WW3dD z>(~>9t|QfpZ1!@{-=>5}0}VNz2Jtyw-!`R_G!S}3JIMmh7Z|Y5NPO7mEtAV2t=(%aT$6Ui0hnz(9z7=aRBofopUo`eW;BG=o{c&I47cr(7qKsI7j7DMAl; zG2n0E42((QaPTqLu9I>nF2f`S{j}?(?G*N4DTZK>B01fjXgBxOuzvoAOYsED)@3ya z-|_V?zWZL2Rr!Nub&k{0{1TECjaMVa_trLWk`;$zd_#f2yXLc#tT^1|3t`cGIVi0@ij`^bmxQ&1ug5`Yyyp<#euw3Y zBwHO$vgL5_{exY$PWfE6Ibs8s3m@;c|ABs9=dz9Fd|j~yY{M{g56Q3ZOg6=!=xe8;^Wh9lmcaFi{y}q8f7mo5K z@&Vi8^K}X7AK3t-%MLb^*Qd>qG%%bK<_z{WzR_)*?HjCF_wqJJaalsw zoMv#me0HG?-ciUxlT8e-$AWgOr?XN#B7nJuH4>ankgrKwi5|{8-EaGl{vzEk#w$}? z@dR6^UNdxEx_mZc;SdB9Cb0wJW$`=2AHClaUlw-BOprZK9!nKGZ~mM@(cwwrbn7bd zJ01&$Ty=bJgUdClN0`X=DA8gw%KN+{h|F&vCz1SND}jmf8+W^j%_>@`;Y;iOcYG
  • gYTwx*&M%nPFB0OkdQk$}f64YQqnHurSGi!E zU-9@?JiaRrRj37RZ9YWcZd0c%DbBC+L7!juigP#he)%xwd6*g)S66XHZ_LEn3dK)-uNFeT1L>TG1}jb&gy8|k;P9X*I+95do<%0Mps zAa_#@!stLRMlgX{aXK=Qk0Ml{7Om(;KSnVn&b>CWQGgOup&sq%K^)_l5odD-a^XiA zY7j;TdNG0t%!<>QiF_2H0<~yGH~KM(DRH`NWTOBjr~+F|KRPMS1N47@S`X0g zLFzu3gJJ|h-v(Y9TjK? zb^1y{9`}`;M;Z4~_VMoqoSpRFnG~nL3e4#-A38vd#~I`C7Ib4;oLz+|Mi70NL`s|i z`VMq~KD#sEM;HSb7iW-~gRFCqeuHg@A%Pij{*sPt_)vsu)PuagFz#O%=P%Uw%d|Lg z8(GLlDXLJ1Rxo~?+$X5>#FRKg^nH@;;Y_f;r>OgMg*ea9Z-nti#>Dw+k2ueg_iR6= z#d(goJXa3p{oJHD2|wDv{^tdSh=Bdi)Bkz;yx@fo#i&Fb=<`Apf2{p$$DlamF){3qQ(G zgD}V)@5KnneWM)A zOWNWj^HGa_Bru6tao+NQao;LO5UlAf*7Q~k%s1G z0JYvriSxb})Ow#<@0TKmVX*&wawkhrg?hA#^8tN7p!SEXmwTelhrEU#@)~|P0oMBw zeW$21Mc#olj=P`Fkev;YUK8=>kMCfH6?(Q)+!mtxu`- zDYZVWMhFqaFbr}(qu=M$`@9WZ;>={A2rVG@3&!|@+%Ky^|1W9#lKx-1ZS?;~nK&u> zr0AQX{huYMKuVmiyvRcU z;H-EKY7M8fD`v!VoDJ$8R}I<&J=p;yEcLo&dE@jf&^AD)AImisy9te1|y|4~yr_xOhs)`7ZU(p>}CZJm=Mj zr;IT!=oZg~IVE1o+U_ZL&*`6c7tMebb@@wAnR z=hwKKdhHqFSvM@64gKPY)QRVwTJdb857%g(d#TwuA)foFdw-^Qx=Y2gB_W<|t>Ss0 zMLZA1#q+yD@%+9Wv^&(0a~JjT9VdE(hkjlYzM=Lz}`)Bl-} zc>c;ni^VgUBc2Zg{o>*COV3BtoudB7w0+Dv__^!(JNeV2;`ww!JfAU-&zZwa znRveNft)Yv#Pbj4`j3=&QZ3^7XR&y`V&7LW@$Bgn&uo`?`1$4e7xVd=xy&)f+?b?E znWXXaDb384G|Mk(cBZ5`*^=fdk+d|n)2k$HuXahB*ClCt2PG|o$NN-D+P(##zc(pq z-x`**1EwV{%PVOIV?k8X4r!6J>}p9nv_{en3rO1G^^%rD+Y$6#$m1ia&%Nffqsk<0 zQ63VKb~O9*iY09^^H@A1X-lRgjqks-e8yQCm9%BGlC~T^9LwVseUf%utE3eKCGCV7 zNn2SiX@z`UMg7&Zufd75ofMI@Ko+JX?UZ&&JC*)L{gU<_^3I4!+F5;)_T6boEA>g* zc_B$Fqx}K_k1rtif)PpkeoE5HOF_R2^U;f0N#pw~E0iJ09C+!Lbeq1DtOi(Wq;AH~7z5D)lk1=*YDj-mA;0Qol06oCiK@y-^fHD99K7+uu!2okG z;58VOhXDRVUSjM}&}JCmISkYp1~7)*!Pwy#prU{p0s{4h0~v<{tl>8>b_53~4A2CO z9Z3Po2dEODXh5LuNWgF80zjbt$SZ)JVC*PRZxrA+Di}~4paFnp0NMcPEFe&4v;+v$ z8C?qy;59l4&zkLwpBQc!fF$@RE4l3iAgP%cV0^{(fs7zuW{5MplFb`1?m1!&& z5r@hQR)83f${bdh*pJF0R)cts%5t$9WMfoTu!Ne$P+7yAnkP_M$GDo0u^=o3OU3$v z--ArVx?%}f2Ij#^VzJ=Y*gfF4qAP%Z{-D$u)bL<|piTys4k!(a$6~M^m>;+r3cm0- z7W|gC2MfTGz&{Tb`Hok*?<^j)i3e?ZfzLQlQ}{bjtALg+YBWIV1+cmSNt1z$P>vWN z=|6@T46wU_b}g_>z#$g2kMVJXvUxxmYUBZOCxg#aP^UA{BoWl}0EtrodW`R$fMG!? zseRKDyC!6KO2(G*cq>%!_jK;-2~5mL&q#}p>EY)IO^z++2}nxvM8aC>p2+z0__SW} zapi1aqD3b(K!U9v0z~`Sgffh#9ay0h*(@k3VdOsal z5cVMSt8&1r{4uOWd|G;9O0vgW&L5oR6edghvcDGvs!{gOBK6(1F7Y4h!gZoxx`kXx$qO zJLuLqE%DDgE9BGw@a+qrU&=I;f9K3J{^zvPU-Q-&G_j+Ux z#!OHrdocbjZ3Hmb|4et+C1LCmEcqw)^=rgC*F9#8IBLwTi}OL-tj2x3r(;s^xqgz2g(%- z+QuOL1aJpl$pn54xj7nIWVx@?Vl`|JT{tSr6%HiA3Spa;TP z9eOL&(4F~QMCd6{lN6uc={`$z12tlO_IB%J^&j+Os4twSvw8?>4m}a}iR)qMAhN*G z8SO)YHtP)Pz|<$Z53+kI%cfA9Kh6Znpe5uBy$o6)+ge#;CEH?f9Ax=;&UR2cnCw8w z1t1HQBd4#q)__+a|G(XzP*2#_?fV|SqkEontp8PCWcVTxjI1$8BbW+iTk5ac!r2j~ zpsxH79oig@<*XSE$_~dH9G~tS=Sm7^R~Y5tYytZ-+mBs4z;q9ebJxz9fD1emz&Z33 zI2NGoVR8)Tqb%?43hHIYRTn914u#selEC_|WwW?t=?L%qwN6>R4dVpVAlt*BrXC>A z-z&lUIKQ{YAIDL;&qlDnAp+DOXAi?s;ARI*WM?H)(uFt)n z<+w6ud4lkVc;i|C#w-}eVT5!29^yc+dEfW5rF6CXv$-4g3C!1^FTHj#Z|K6|R+zOvKpqx;XtkIS=l3?cGjyafXyK&|H`0KWb1-VfS@D_;f z##Yy>1Yh65yd#U_e`2Qk+giB~sc>|<@vzG~e`|<^0GaAz5m-2g2GCLw;4B*ao>KsL zM27c5!8H%a<08SG7T_!xTnz?S3WFN(4!mF3HyT@lax~Tu)NAhJo)-ujU%-v0XW!{aYY@ z&jd|j^a=?!WE<%ZUQeGmH-$`=aGAVMIx=k^M;XPECS z+itEez&;HCEt>cwhwY&z&?0W{K$o4qb@1ec3>bh2d{S)r%*=9gtv?tO>}WzLcZdNcI0tbWM03LJmX$Dq{E3*Z?`=fJE=9t6*;#LP_Tgra?lTdLNUr=aBZB$4n*+jJ&&^6;oQBV` zt`=#&tlxbi&3amK*G^!K_#E1%0~ulLhf=s$S$Rq}FE_7*^;|S)VOJW6=34V_$5_E9 z3#^&-WC))~VfLQ}`1JObGkj7dgYy_5gg+L|F~MhIVY=U+$jJ1KFHGL zkM=p&hfm59Zc2 zd~LJxP^clym0*VM`joq9o8jv{_?!zdVGbAoP~A1IEZai62Z2`aFMvC{rdw+c_drtrV*Sb>n z3IiMu|KD3z65flj|GRZ1Xh*mb^M7q!39euMaa}2UO#gS*m4v@oFZl1QE4i7RJKw{x z4(I;AURQ!q;orZmls(?ER*7KjFAQ?xKmYS`VV|rpE6JLLv)Z}O=WZtPe{FRM=BrTV zza0}?ecX)cKfAgFSKUM~mIeQBuQCb1Utui%eKzyoUuA-^{Qv4IlK`GLbFMOF zKkNQCSD6IgTFGCnGQp7nS6%+|t4wg64X()jJ*!Oc$^1XF$^_RS0>JuH6RZ)CCu>bF z0IW;=_tuW!bKxIX7XMdkN5UW0jy(UfwIdiC|9tHzYpo`GO~_sE`A@7JK~K$IH~Z_g zBRGDbAN|>S_J4NmC~I~9Z%33ruJ~mAz4ISg@qsv5D-!VUy#KBhANceGcP0IED?V^l z2hRTg>WYs5)>pE2{QNCT{<~IaGX9WR)dRCm*3J{bw<-hA%3)Z2-v%wXuMKXhd$*a+ zQ!+h1-qSfgDW!L*a-P3q7hE|{gQUKx3F)519;qp58S!zRE@>$}JOOF(y*%zFuq+JU zuDeWk*IiB+LC8i2+tXq^u4wPJ?g?f8@;~8^oBaOn{ee03_8}*x3o)LIw3xW~9x-X% zJthK#qpyJ{Dy2(CZ(#ny zrF@d4#iypF#AU|D``E-Kg6)%uoij7yp$q~f&y$Ve2Qka1q?G*l=yB{?n;8Z5nrAVdRpF`ZL-#rrgHcbWPGc;^JkDH)&}z!p#_7VH(DV6F$a z_dMwdF-b{6=Xhi_AO_eg3NGc)GbI`LMVhBa3K(#IrnV=eZ)$v(7ywkx73zH*d&Kkw zgAz24OYD*e9W5p)1GpY20H!fW)>= z2zqEtEMNjgZt^>;rh9&e1l1M*fX`qtNuEDtfZAlqknslbFNJ1vnj~#V5z~ zaC-|D(mlYCuwSx7K&xrij8&W2hCpArywgwy@7+pl8C+cV#ae+rs%0B2}+A#2-$&&xNPr^^JFH+A%U|+6@0>Zd>Z~$ucm{I!C+K-QbD&t=ZNuup6d$OrK9l+ z?!Gz44=4G#)y9vm9pz!M1Cg-1kt!a|#bMgykN5x%B~RcJ^QWY#1k zGN>Wo91s{978>2!PpBUn9S(Q`;UYZ&o~8kj(V;=j!vZ2bO`AtHjfe^XJc0q+@X+x3 zkpLy6NeEB^Fbaxj+B!0{LBnW2&?p*Q^b?{Z1A;@E1VlFW^8jWMK;=k}uSz)}CE(!+ zX#pEYH4F#~^8|)QM@2`51T=wlp>-OBM>Gi$>PIvW4-SY9jR^Myh5%Ip0>hx;fNa1D zL16)*P5eB;0ZjrLKy|V}U^Q2rY;y>(L4%O+kjQ{AKTlNCkf2al0Co(G3<&~K1H%E^ z151FbfKyOJcvMKU=HLRTmj&S`v}_pS(*r0F0R9j1N#;{O9H zc>*FsqhOEJkBk7~!v2h?@AH7>z@DILXgHD=_7S}HNACc&U~6Q>;E;eYzz{e|IIIh- zl*5yNcZKwcjZXz*Ej?>+yHlfY8g=JR5SYN2bSDAe(G8Npz;&v|-?(Ft% z9`J4Y2eUk!dVSLem>xkSa;M(7Uh!ZCOoy|5N}7-YCzIZZAdtea0_#Z*GjusF9T_WO%wl zOMzIIA%N}h7Jmh7bgDk)ambiKjPn$2Z3xWYc7KZ>*A9>=I_gcgzP*B znBkwwg9I2GvS)E$r@0|E)@OHL)&T{3*J~bMn)sei_zC|?uH?Q_0&*oGTMnP6|BrGd zU&8Po%#{Rp!2V0QlJIZLl>``c-CW7n{r^O+BxGe}zP#X{$d!D#clw{?O1{^Q{=Qtv z*Ka6S%K3WJd+8F0=issI-<2+biRb;<5g70vPnU$kImPuoHx~Xkr%Xa}%DZXipH7*C ze{0Glpp?lMb^p1PN%(!r^@+{3%-$;3a-7s7yYl_Ff89Yv3p|qMDT3ar(9}6YI*d4`TmQOa1#jJe)9kF;wN|$ znee@#jJ+L%wQ)=De>(TTISy)(;2moke4`T!-nQn!h7u9Hg)L(Wrh+%Ib&4XX~ecGbjcVYRV3SY7a*H{2!}1QzT=z_K&kq8keSjL{evtqE9y zhMRYrf#q|!fwnpL6Guz%2dLISm$q0ttUcBN>xgv%me_zT$3|cyv4hww>@hY9n}m(W z7Gi6$6*z&7!){^2vFX?g?0ak?HX9p*9mnor&#^_=I_wARCH5n>4BLo(gnfu@0$a{w zu_<5)_Y7FXJ&k>gUBJ#_=dknGS71T&GIkNWglz^J&7NUXv1`~B>?-KqZ?JE%vEZHK zM6hwa2Uzw^#+HDk<({D1;Y&?$OI|PF9AAU2mi@p6hW^+hZ&xPm4^Wb^0 zSJ-PjAD$mCfEUC)cp1yaHYk_u~F| zCA>0T1+R)%!>i*pu+OlEcul+(UK_82*Tw7M0eB!Dga_jxczwJ9-VhJPwqRTFMtEa9 z3~z#m;}LjMycr&eM`6EUZ?H$$=Xf;U9B+ZQ#9QI5@iur{ydB;i?|^s2JK-^SXFL{< z!{hNTcvn0DPsH})-SF;s65a#*0{aqA##8WAyeFQ9r{fuTCf*D0jrYO(;{EXc_yBw$ zJ_sL-55ZR9L-AqwaC`(l5+8++#>e1e@p1Tgd;&fZpM+1wr{GiZY4~(}20jy?h0n(4 z;B)bL_Eh404q;Cu0X_uAf*=Wspb3Ux z369_ife;CakO_rQ360PRgD?q;unC9wfXGGUCh`z@iF`zUq5x5l@DPQF!bB0GC{c_k zPLv=@5~YaJL>a=5C`*(h$`ciciiDT&Cn^z@i7G@@q8d@1s6o^uY7w=GIz(Nf9uYtU z5 zo0vn)CFT+Hi3P+$ViB>JSVAl%mJ!Q|6~szn6|tIFL#!p%5$lN!#71Hhv6Dj(AEuBc2m4i0_G)#1F)e#81R4;x+Lz@eA>W z_?7sLcuQg=P7)+ZQY1|>BujE6PYR?+N~BCGq)KX}P8y_1TBJ=n4BCkVVO2WO1?tS&}S8mL|)Peq>p)99f>MKvpEZq(51StV~uRtCH2o z>SPVFCRvNDP1YgnlJ&>{GLQ@+gUJxGKG}e5NQRP)$i`$C*@O%yBgm#?GcuBlBBROX zWDBw-*@|pUwjtY+?a20I2eKpC30q9Yke$g`GLDQVyO3SU1TvBAMs_EY$R1=enL?(L zJ;^jOoy;IJ$zIrevNzd>>`V3|`;!C6f#e`^Fgb)AN)983lOxEHlP}2c$(Q606-_m#T2L*iR#a=M4b_%vN42LqP#vjGR1DRbilySHc&ZE4l}exzscuwvDv9br zB~vL>D)@<)G%B6SpfagmRBx&e)tBl=^`{0<1F1pOU}^|8lp012r$$gCsZrEuY78}& z8b^(%CQuWpNz`O&3N@9QMop(?P&27n)NE=FHJ6%4&8HSn3#moaVrmJslv+kDr&dra zsa4c!Y7MoPT1Ty?Hc%U>P1I&;3$>NnMs25dP&=tz)NX1IwU^pQ?WYb<2dP8UVd@BV zlsZNor%q5OsZ-R4)M@G?>SO8*b(T6uou@8P7pY6sC)8!?3U!sbMqQ_FP&cVt)NSex zb(gwF-KQQs2{1H zs8`f$>SyW~>J9ZP^&9n;#%P=-Xp*LAnr3L0=4hT4Xpxp^nO10()@YqJXp^>Rn|A0A z=v;JeIuD(f&PV5`3(y5=4_$~ZOc$Yx(#7cFbP2j7U5YMEm!bXWvUEARJY9jVNPB62 zx)NQPu0mI(tI^fz8gxy%7G0aJL)WG2(E)TI9YhDyA#{DZ0o{-er5n+W=`gwp9ZpBk zP3dNIBppRZ)6MA?bW6Gw-I{Jgx245u4-=`-|M`W$_pzCd53FVUaSm+33?Rr(rzoxVZeq;Ju; z={xjY`W}6sen5Xpe?~u~AJL!FU(jFDkLj=Iujy~-C-k@Ucl1;G8U37oL4Qxbq<^4) zq<^Ac(XZ*B>0jtK^sn@9^jijFaE4$=hGJ-jVOWM^ct&7EMq*?}VN^zAbjDyz#$s&7 zVLo7TF}ayMOkO4*lbgel4tV~R5+n37B>rZiKA@ngy|<(TqJ1*Rh7 zW&D{+Ol77DQA#^_d1tLnf4I#588Ym?lg( z6TviPnlX_~6cf!fXId~VnO00|rVZ1UX~(o@IxroXPD~8bnTciMn0TfO)0IhJ5}9sH zcP5GH!6Y*&Oe)ipNn_HP3?`H5#q?(SFnyVROn+toGmsg?3}%KfLz!XBaApKEk{QK} zX2vjMnQ_c`W&$&jnZ!(HrZ7{PY0PwH1~ZeH#mr{rFmsuC%zS16vyfTDEM}H4OPOWN za%Kgyl3B&9X4WuknRU#1W&^X4*~DySwlG_nZOnFN2eXse#q4JGFngJO%zowobC5a2 z9A=I%N10>HapnYbk~zhE$eduv8~xQY+JS++n(*fc4RxTF>GfxmW^ZM*)D8XHi1oK zyRqHbB(?{e%%-rZY)>|gO=mOMOtu%>o9)B)W&5%H*#Yc8b`U$59l{P}hq1%i5$s5I z6g!$7!;WRgvE$hZ>_m1FJDHurPGzUD)7cs9Om-GKo1MeXW#_T;*#+!Eb`iUnUBWJ9 zm$A#)73@lO6}y^U!>(o5vFq6l>_&DIyP4g>Ze_Qz+u0rLPIec&o880iW%sfB*#qoB z_7HoRJ;EMkkFm$u6YNR$6#F52n*E6Vm_5UuWzVta*$eDN_7eLEdzrn$US+Sb*V!BF zP4*Uho4v!{W$&@~*$3>W>}Tvl_7VFz`vvB&j`MCUC0j?nD;Rgd55Yoj#24m^@J0Dzd~v=6Uy?7ym*&gxetcQJ z9ABQVz*pqGygy%wugq8BtMb+O>U<5pCSQxM&DY`U^7Z%tK9CRMgZU7?KHq?E$cOTc z_{Mw~--Hk6BlxC#Gd_}!;-mTId<(uM-->U|x8d9J?fCY52ficUiI3qs^Rav!AJ2E; zyYdNqBHxYg&L{Cb_+&nXPvv{^X?!}L!DsTl_}+XUzAxX8@6Qk52l9jX!Tb<@C_juJ z&X3?n@}v0C{1|>LKaL;IPv9r=llaN}6n-i{ji1iX;Air)_}Tm%el9Iij(dP0B@C#zL6TLAySAEqJ`!{3!$aZN@y*#5!wpvg!V!Qp`*}Ah!Hvqu|k{x zc1sCeg#;l{=q7X*l7t>YvXCOA3O$81AzjE2GKF43Z=sLSSLi477X}Ceg+an#VTdqP z7$yuCMhGK?QNn0pj4)OhCyW;+2or@#!en8JFjbf)Oc!PdGlf~gY+;TtSC}Wv7ZwN$ zg+;<*VTrI*SSBnNRtPJFRl;gvjj&c&C#)AX2pfe>!e(KMuvOS5Y!`M2JB3}sZefqG zSJ)@)7Y+yqg+sz&;fQclI3^qyP6#K3Q^JSBY2hQ`W8sW&RyZe|7cK}Fg-gOG!e!x# za8xltkpco_uiy>ltv4Pl73>6!Rjm0pri5MVn?x)7$bHTW5qZzUhE=v6%)inv76XkOcHyD$zqC_ zD)to9#B?!3%oKZxy~RFaU$LLqUmPF~6bFfe#UbKQahNz<93hSrM~S1cpTsfZSaF;< zUYsCK6eo$3#VO)cahfXNj}LIpSP#o;Y7zATAUaiHpT0;!<&$xLjNzt`t{^ ztHm|qT5+AYUfdvV6gP>R#Vz7iahteZ+#&81cZs{jJ>p(*pSWKiR2lvG+OBl$^XrE*evse)8d@=E?v zC8@GhMXD-Qld4NKq?%GKskT%{sw>r#0;E7GND7uhr20|=si71qHIf=jVNw$*T#AsI zO3kE5DN2f#noBLDmQpLJwbVvxE47o_OC6++QYR@!>MX@daZqFv!yxM8fmUHPns_+kQPddq{Y$_Y@W0f zn~Ob_mPyN{71By+m9$z~gRPX-O6#Qc*feQ_v{Bk5ZI-r3TcvH%c4>#SQ`#l%#ui9> zq`lHUX}@$pIw&2I4ogR*qtY?yxO74~DV>r&luk<@NgqpRq_fgF>AZA7x+q7I07dLVr&eI`AW9!Z}|Ur1j{kEO4qud&I}H_{X7 zTWkh4Q~FMNDm{~)OE0AFrI*qV(vQ+l(ktn;^t1Gf^hWws`b~N(V=^uiGAUCsEi*DJ zb22XrvM5WkEGx1qYqBmIvMF1#Ej#iDaxOWyoJY}OVM=m56mW#+mqn=xux7nZY{Tw+sf_a_HqZg zqufc3kvq$=a-1A5cagiw338&`P3|ry$vxy`IYmyDd&+5Yx||_r%Dv>?av!;`+)wT= z50D4SgXF>T5P7IPOdc+ekVnd+%CqFz z@*H`tJWrl4FOV0?i{!=f5_ze-OkOUpkXOp9=6Zu>DJNc>nOnxrEkiVB-%0I|I%0J1kD5|0swvf#8cI#2mQq`(qtsRE zDFI5L5~KtxAxeFvfznV3RT?Rcl`y4=60SrjO_gR!q!Oh>E6tS_N=v1c(pqVwv{l+E z?UfEnN2QYzqjXkcl{h6{>7sO15|l)xo6=oLQhF%KN{W)I^iWu7u$S)eRb7AcFBCCXA|nX+72p{!I^DXWz=%35WevR>JsY*aQWo0Tof zR%M&AUD=`RRCX!5l|9N{WuLNNIiMU=4k?F~Bg#?bm~vb>p`27sDIY4Qm5-E zl~QSyQCXE!c~wwFRZ?YDQB_q_b=6Q!)lzNMQ9n>~skzlWYF;&;nqMuT7F0cIA+@kt zL@lZoQ;Vx5)RJl`wX|AB^;65L<<#bZMBYC zSFNW8sDWyb8mxw>_0!Dg)p6>0b%Hukoup1yr>IlaY3g)! zhB{N7rOsC8sB_hM>U?#9x=>xDE>@SQOVwrSa&?8eQeCC4R@bO&)phE6b%VN5-K1_- zx2RjyZR&P)hq_bUrS4YusC(6Y>VEZrdQd&29#)U2N7ZBMarK0HQaz=9sGe3oQa@JD zsAtu4>Us5odQrWkexhDhuc%kmYwC6NhI&)IrQTNWsCU(S>V5Tr`lToKPt|AYbM=M#z4}u9LH$wvNqwchR)1E1QQxS)s=ujkHB7@b zLL)UwqcuijHBRF-K@&AelQl(CHBHksLo+o?vo%NiK+C1&*79h1wR~EBt$HSPRpdXyICf)>LbzMQTx6wANf}p|#XnX|1(3 zT3fB1)?VwNb<{d(FhH1mK5!y&?lr~x$qm9+ZY2&pC+C*)VHd&jZP1UAp z)3q7eOl_7nTbrZJ)#hpQwFTNjZIQNETcR!1mTAki71~N|m9|=2qpj7}Y3sEO+D2`Y zwprVvZPm7E+qE6qPHmUATic`U)%I!owFBBg?T~g@JE9%cj%mlW6WU4bl=h)^TKh=* zSUaPg)y`?>wF}xs?UMG1c3HckUDd8>*R>nkP3@L;Tf3v()$VEcwFla#+GpBB?UDAm z_J#JP_E`H$`&#=(d!l`-eWyLuo@vju7uxsQOYH~kN9`x=mG)ZuS^GtMqy4J=roGiM z9oGq+)G3|T8J*QRo!13j)FoZk6G|~ndO_Wz z7t#ysMf9S2F}=86LNBS8(o5@QbU(eUUQREsSI{f!Ufo}>q*vCf=vDPA`x4USDsZH`GJ*MtWmCOmCux>k)cWy_p`VN9oaebG?P$Qg5ZV z*4yZ9^>%uDy@TFS@1)1*o%L8fPLJ2S=w0;$JyGwbch{5j9(uB#qNnOT^)x+Q&(JgV zUV3l6kKR}Br}x(f=mYgZ`e1#CK2#s357$TNBlS`GXnl-6Rv)L2*C*%`^-20FzEoePFV|P-EA>_SYJH8qR$r&D*Ei@J z^-cO_eT%+T-==TZcj!CyUHWc)kG@ymr|;Jf=m+&f`eFTuepElEAJr=Qm^=oj@%`X~Bj{fd57zouW;Z|FDmTl#JNj(%6ar{C8f=%4DJ=@0cs z`sex=`j`4+{VV-z{Tuy>{;mF<{#1XaKi6OA-|H{+AM_vfpY&JyYyD^a7yXU?tNxq* z*1!zhAPmx=4BB7}*5C}@5Dd|f4B1c&)zA#xFbvbM4BK#w4~$$!ZX=J8*T`q&HwqX9 z4UbXCC~OoliWKOq>pb=yQ8zDx0qk+-T2sIiRjg2s)i4kr@7)_04Mx+sCL>tYG7Dh{> zmC@R0W3)Be8SRY@Mn|KQ5o2^VVvRT>-soa));Gz zb;f#QgR#-rWNbFJ7+Z~P#&%^AlodyRd@e&c{~&^TlqHjWrajbp}fUX*@Q*GQKvxF`gLT8s8aDjc3MlucxAjcel~tF z-Wb0czZq{$%*0K?Bu&bsO~zzR&g4zO6ivyLO~q7A&D2f9G)>F2O~?Ge%w^^_^O$+f zd}e;LfLYM=n1#&3W)ZWfS|^#d`t+kU7{KVh%NjnZwNy=16mtIocd!jy1=bidHK&==%^BuQbCx;VoMX;4=b7`(1?EC?k-6AhVlFk8naj-;=1Oywx!PP~ zt~J-0>&*@3Mst(7+1z4oHMg1D%^l`WbC++*%F_nG_61Li^Vka^fVVjeY*na9l& z=1KFE`Js8*{K)*+JY$|U&za}V3+6@hlKF{w*}P(2HLsc1%^T)T^Okwrykp)q@0s__ z2j-{dXXZomk@>m#h54oV*!;@;+Wf|RVt#9WXFfHbna|A^=J)1H^9S=s^C$C_`P%&1 z{Kb4@{%ZbazO^t5w+M^0D2uiji?uk5w**VHBulmwOSLphw+zd)EX%eW>jNv7mD|c= z<+buz`K-)dkrv_h>$R%0v7YGQ?35mr;HnH6b8 zSUU~7mq)EZ_Dw?i?!9-W^K22SUas<)^2N$wb$Bb?Y9nC2dzWaVe5!>)H-Gz zw@z3mty9*A)@kb_>tpMTb=Ep(owqJn7p+UyC)Q=_ignexW?i>#SU0U()@|#Kb=SIQ z-M1cCpIV<;53NVm=hhe2m)2wJE9-0P8|#Vnt@WMt)Ouz;w_aG^TQ992tRJnPtXI}+ z>u2j1>y7oR^_%t9#%$asY|^G|+GcFl=4{>;Y|)l%*;Z`T)@|Azk zJCB{$&S&Sh3)ls1k6p+vY!|VM+QsbRb_u(rUCJ(Pm$CiqvUWMUyj{VrXnSpcyOLem zu3}fUtJ&4<8g@;)mR;MfW7oCo*#UN-9b^aFA$EPcf!)v!wHw)u?J&EE9d1Y1P3>lO zq#b2P+s*A3c1ydJ-P&$rx3$~Z?d=YBN4t|9V|TV=?KnH$?qYYf6YNC0o88?`vU}Lc zc8Z;9_q5aObUVY&w0qgT?LKy2yPw_P9$*i&2ib$|A@)#vm_6JcVUM&&*`w_-_E>wI zJ>H&RPqZi5lkF+?RC}5|-JW63v}f6~?K$>bd!9YtUSKb@7uk#LCH7K#nZ4XzVXw4T z*{kg}_F8+Lz24qnZ?rero9!+3R(qSh-QHpEw0GIN?LGEhd!N1EK42fT57~$9Blc1I zn0?$nVV|^5*&o`c?T_q_?KAdS`<#8=zF=RpFWH~im+dR|Rr{KK-M(Spv~StB?K}2e z`<{K@eqeuUe`Y_lAK9PVU)W#TkL|DQukCN_C-%4YclJ~Jnf=^;VSjJGw12RFw12W+ z*{|)N?O*IS_OJGD_FD&YaEEY6hjM6#aaf0Qct>zVM{;CGaa2chbjNT^$8v1PaXxTz zIk}xYPF^RUliw-e6m&dJA*ZlY#3||&bBa49oRUr{r?gYX@pH;L<(%?P1*f9pb^M)5 zPGzTxQ`M>FRCj7PHJw^cZKsY?*Qw_OIDt-(6YPXI^_>PzLnqW}NpsSj3@6j+<@9#?IDMUdPJd^BGte3240eV%L!DvHaA$-w(i!E9cE&hk zopH{1XM!`)ndD4%rZ`ibY0h+KhBMQd<;-^GICGtO&U|Nqv(Q=OEOwSSOPyuTa%Y9J z(plxKcGfs+opsK7XM?lR+2m|?wm4gzZO(RQhqKe!{D9CnU4 zN1bENap#0{(mCaP=$v*waz1v>IA@)6&Uxp8bJ4lveBxYot~ghnYtD7&hI7-o<=l4e zICq_Ue0rCR1n^A=@yTpJkC@oBlw>x>Ju(5E!D~11OpNcq2BdTaZ=rN&W89+{6q}d^ zUSI2y6yHaT%`OW;;N`xUSnv%18A9y4A`=`N16VV0?jac9#AL7`2oQX20R(13T)=qW zK?r%*T8MvFWJ8b`@$QicaXH5O4q}6BLBy`vWud`4213_&MX3RJ-?~SPE3DKt$BEc5 zyRDdzU8Wj#j!B~uzy}kWk(d-0&wv-q!GR4$nj|7kLS0P~UDJgknG@Y35!#4I>?StK z<|}r~E=!Gb2qJZV@1!gEo`&Qk@cLh3EE5(J3%&$_N%9?}u$=Xha-1+>u7Q$#2PzC` zPbGm5CfseG?6wcj(L_qlal(YV?UP*tCwfG=Q30S-fkBzGm_le@AJNO|z{Qoe4C zaFtK-9ps1v@Z}jXX_-Be!270hO3pJT(v<X*o`qNLPk5_Ymc_O7|Va zsBF`T>Dgr|ItK$OBgY97?Xt=69jIv7r5UhGo4Z|_>2_&zq*W%;s=2FGrtd&EPXn*p z(wXp6Zk|&oIWy-O+Z=U$rh61yW=kmc&QWfique*U%(QWJ?dLlPZQl8=(C=N5P6EFP zmd<7-CswFftpYk$L`N?=`lDkdbgYbyRnW02I#xr+>gX7Nj)CYHgpR@J7=n)V-D7ox zUmf9BN4V7yZgqrP9pP3-xYZGEb%a|T;Z{eu)e&xWgj*fqRAcP-;@PiP35W){a_(2Fi2;m1I z{2+uMgz$q9eh|VBLij-lKN#T$Bm7{5AB^yW5q>bj4@UUG2tOF%2P6DogddFXgAsl( z!VgCH!3aMD;fEmn5QHCs@Iw%ONM)vhJL?N9gsD_VtnW^^x}V5q|yZ;5B$KlemLC=3S8u2=QHFW8!^BF(N%F z2E0KBXG<|9yX?~j{JWC<_A z_ab~R!uKM4FT(dCe1C-RkMR8wzCXhENBI5--@gh6W^?c@Na@{Nh5eBL{zw3SB!E8> zz#j?Vj|A{X0{9~VDj@+XApt5O0V*K@Dj@+XApt5O15`o=sD$t3|od174I4cu_jw zMd^SSr2}4+4tP;I;6>?x7o`JUln!{SBm4kl{{W;vN(sCuCGet@z>87>FG>l#C?)Ws zl)#Hp0xwDlyeK8`qLjdkQUY%P(mw#<2O@lw7I;xw;6-VH7o`PWloohVTHr-#ffuC( zUX&JiQCi?dX@M7|1zwaEcu`v5MQMQ-r3GG;7I;xw;6-VH7o`PWloohV8sJ4~fET3! zUX%uSQ5xVyX@D1{0bY~_cu^YQMQMN+r2$@)26#~#;6-VG7o`DSlm>WFSofl^?nPnU zi^94Wg>^3q>s}Pry&=edLy-T5Apb>y-HQUd7X@-J3gliC$h{~~d+S%_!FS>Hg5ST@ znfHZPSn|!q{uR8u?|~r46?gRbqd@A90;xX=r2ZAE$q6Yb-F@HBmZOzBhWt@D^+(~< zAB9tY6i)q7IQ2*2)E|XYe-uvrQ8@KS;nW|6Q-2gr{VTdQ@UQ5OVgHKm81_d&)E@;= ze-uRhQ4sY*5 z8PPJwR8>ak0wjb$Adp4Rbnk3ibJ5eiD`CrC+hDK_25|^1VNP4VIBa|Y%OTs?NSOOR zePd$|-v=~2CI2$Mx4Tn*{1>p#vlI12W#yNV8S#7Li>Ug#Yuht|R86sX+$c!eLDCMA zc967#q#Y#fAZZ6lJ4o6=(hib#khFuO9VG1_X$MI=NZLWtuCtENb=(9%+5yrIkamEy z1Ed`w?Eq;9NIO8<0n!eTc7U`4q#Ypb0BHwEJ3!h2(hiVzfV2ao9U$!hX$MF<0NMf2 z4uE!mvICSIfb0Nc2N*lR*a5~4Fm`~k1B@NO>Ht;;usVR%0jv&SbpWdaSRH`s08|H{ zIsnzhJlnf-`_8?yTRY1CcTYJSM{9k4^R9BQj4w}bDzVn~&F!7dGx_el9fh>D`hl$6 zjrILkYgMVfI`g_)JL58g8J{*ec>Q&^wr|)$7j|^`hxwXSUu%o)z0KJxH?{0zqgy1x z-`bn?mXp8P8=ugtwb9}1waT}*sil@%*S0qA`=tH*K6(GX&)Cs|N4gU(4>G0W&u~D_j9hb&(j-jd{fz=)THrbv$xeI-Ki#MyWUO!x4+GPNfZn$!)UT*Wir&*H?;vF#Q2EV3jXinA7AHK(UC!XwxCp+TF zj(D;op6rMxJHXQco(}MIfTsgI9pLEzPX~B9z|#Sq4)An} z2YMdpd7$Tko(Fm!=y{;$fu09?9_V?X=ZPFWk)wxq9^QF)=i!})cOKq(c<14rhj$*{ zd3fjHoriZG-g$WE;hl$f9^QF)=i!})cOKq(c<14rhj$*{d3fjHoriZG-g$WE;hl$f z9^QF)=i!})cOKq(c<14rhj$*{d3fjHohNYgaL>a%5BEHQqbG3m1dbjadU)sw96en0 z1dbj)didz!qlb?kK6?1*;iD&T^aPHcz|j*pdICpJ;OGe)J%OVqaP$O@p1{!)IC=s{ z4~IP*_Hfw4VGoBr9QJV7!(mV0=m{J>T=sC;!(|VbJ%OVqaP$O@p1{!)IC=s{PvGbY z96f=fCvfxxj-J5L6F7PTM^E7B2^>9vqbG3m1dg7-(Gxg&0!L5a=m{J>fukpI^aPHc zz|j*pdICpJ;OGe)J%OVqaP$O@p1{!)IC=s{PvGbY96f=fCvfxxj-J5L6F7PTM^E7B z2^>9vqbG3m1dg7-(Gxg&0!L5a=m{J>fukpI^aPHcz|j*pdICpJ;OGe)J%OVqaP$O@ zp1{!)IC=s{PvGbY96jsFp7mr;An6GtJ%OYrkn{wSo6}wrvsc0a5}*00H*_- z4sbfa=>Vq#oDOh0!07;|1Dp6}wrvsc0a5}*00H*_-4sbfa=>Vq#oDOh0!07;| z1Dp6}wrvqFLa5=!`0G9(?4sbcZP0AB)p3GgMrmjGV^dP0AB(;3GgJqg8&Z#JP7b0z=Hq}0z3%tAi#qF4+1<0@F2j001pB@2=E}lg8&Z# zJP7b0z=Hq}0z3%tAi#qF4+1<0=zKuu13Dkj`GC&%=xdL@_ULMluJ-6@j~@2uT#ugh z=va@A_2^iSj`iqRPaM+|$MnQ8J#kD=9McoW^u#eeaZFDf(-X(^#4$bk*rSg<`q-n7 zJ^I+Ak3IU>qmMoM*rSgqkBEN*Q0wqy4Rz7J-XMUdp)|>qkBEN z*Q0wqy4Rz7J-XMUdp)|>qkBDZNsr$3#1}n!)}v=Vde)<7J$lxoXFYn>qh~#O)}v=V zde)<7J$lxoXFYn>qh~$3)uT&2y40gfJ-XDROFg>Oqf0%y)T2v1y40gfJ-XDROFg>O zqf0$;LXST6=u=Oe&=V*0#0fodLQkB~6DRb<2|aN_Pn^&bC-lS#J#j)$oX`^|^u!50 zaY9d=&=V*0#0fodLQkB~6DRb<2|aN_Pn^&bC-lS#J#j)$oX`^|^u!50aY9d=&=V*0 z#0fodLQkB~qvJg~-lO9^I^Lt>Jv!c_<2^dwqvJg~-lO9^I^Lt>Jv!c_<2^dwqtiX} z`JQ=vj}G_fTaUi==v$Az^@sY#Jho>Z+cS^tnaB3bVuhmqg-{NL&(WMWLlF)|I27Sf zghLSyMK~1UP=rGf4n;T=;ZTG_5e`M-k4XFxi9aIoMR$14zRn~Rw=88QhmH4;kBpd(soMhwQo|A0++jEkQf746Z z__yaJ8~>)4vhi=vueoB+PbKZQ=O>%?n|?J{?0Kl5WRR*Yrj<*K2wso9AVEBb(=C^Iq9JFVi8}JTKEB z**q`Pq2`L|kV@KbIwYI+n-0mQ{l*X3wBK||HtjcEl1=+<9i(BOL#4HkeGb{yKK40e zTl?7OkZtE>e?zvNm;DXdc3;`wkZt#s{f&nG4VCz{^$pqhwfVek{M!14Y`d@QZ^*X$ z%KnCI{Mx#PZ2a1~M#H{_O8i_={8~I9+ny);8nW$qvaivw zuc6YOC;J+*?Rm1VA={oO`x&zFYjJ>V{MtH+Z2a0fiER8De;W2PRN~j-1=;wuctJLP zEnbjq{fPYx**tHH7i8nt;sn|FwK$<+A44U6El!ZleYW^OHuu@$1lhFL)=6a3URx)T zjbB?Qk&RzlCu!KfP>ElQFJ#kRi!Wr;UW+ee(_V`&WYb=YFJ#ldExwRVKePBkHvP=v zi-!FRmGm=PFOg0AZM{S`?YH$3*|gu{64|uh;u6`k-{KP4wBO>AhW!hbwBP0(vT47~ zKV;K>i%VqFew&ZTru{ZAkxlz8E|E?9EiREw`zhTX}*}qUd?T54MU#K4caF+cG)zf}B z%l<{f{)I~X!&&w(RF8i+%l?Jx@egO&zfe8?;VkeTEWxt|fzd|L?8?Lfnp?dDO z#Ramt-!@N@jX#?w$>x6BJV`e9+v0+T{R)+|7f!QZp?ca2r`fMiJ?(|l>{qBB|8Sc9 z3f0qIIL&@V!+wQI{KIMXD^!nvIL&^A>hTY!*{@JN{^2wG6so7)@R@yzhJ6Z^^mF*k zK85NTXYiSQ3e|Jp;WPUbs%M-X^4az&RF8k#r)b!xP-*REpF*}hclIe{n}7BxWLvx0 zXK2`GP-)lCK7(w#Z|pP3wtmAtgKWEg_8DZ`ePf?Nw)GqK8D!h_v(M15&!Cd)hsW$Q zs2>0DIKbloj{`go@HoKZ0FMJa4z@n0^Wopt=bB*ab1Ly~>vOWXf3`j+oBL<$bF#UA zaGCuJ)zf~s%>ISyt>3bL(Xel!62I`6eGApoZg|YTh3fHZ>vytEpV_yNZT*IQ3)%RE z%j{b;>|3bhdE2_3Z2ZDy_A6A6U%1Tvh3aW9TxS15_4tL$>|Zp&*8Nn{Zn(@ohU)PT zm)XZqJ^tY``xvUnKRjjsp<(|)C7*+*>_4df@N?WRc*_2R-lw0yQ}!Pk_8(Mo-{2|x z52~l1z{>zH1H26IGQi6KF9W;`wvN{Xcp2bjfR_PY26!2WCj*=da4rx}1~?bsTp*qd za4x{PKs*`XT!3?dcrw7b0OtbnB>Myn`vMK?%qs1^v+mlk?%J^Ks?wf+&%CH-Uc`E= z-naYMGcRJDwPBrArQLtlS!G+lVVzaB=@jd%vQ4L0XO(TwpLJH*rchaI>VVza=+y~|}th1^f|IBAtXKe=CcUEbB2I8>+Js*h22K0O&9vjf} z!S-;i;<5n_48&yvaoGR|1~@PfmksFtfbI|I{($Ze=>CB259t1Y?hokx zfZh-2{ea#N=>34+59s}X-Vf;gfZh+pVFP+Up!WlD*nr*-#9;$**kJoM&4BI?=>9+) zHlX_hx<3$y4UDG&-5=2XfjDeH_Xpy!0o@vIEf!$90Hus$~sHw?rL1M71Gal=5|Ft9#15H}30 z&kd~44a5lp>u&>b!a$rb5GM@82^qc0=v79qGJ2KKtBhV{^eUrQ8NJHrRYtEedX>?u zj9z8*Dx+5!y~^lSMz1n@mC>urI#NcrGP;$~t&DDEbStA<8Qse0Rz|lnx|PwbjBaIg zE2CSP`DM$a;OmeI3}o@Mkb zqh}dC%jj7~&oX+J(X))6v9Hl&^em%i89mGBSw_z?dX~|%jGkrmETd-`JM$a;O zmeI3}o@Mkbqh}dC%jj7~&oX+J(X))6W%MkgXBj=q=vii+DWhu{UCZcNM%OaBmeIA0 zu4QyBqiY#m%jjB0*D|`6(Y4GvQ)Znhv(A)RXUeQIW!9N8^Qp{yDl?zT%!@Pgsmy#T zqnjDs%&aqI=EWHu&CH84dYYLR=U7g?ss2*z)KgZxss38*)Kj%M{ieg8L7aZ-@YVR+ zh9)yFW8X`*&C4?DOzeND-sUTrc^Ug*s<(MrX5O5cH)rN$nR!`e-pu}4!~U5{n-{Ww zCL8~(GqI1Rdi=u+_R&<2e|VAM1^a0Y`)MjIe$4QKeKpnNA6{g5k>LgVZ8{GB@Pd6e z)#D#tu{+w+5v+l(Hoa*tIJ|DYNdxeqFhaJ1 z5c_qi=lQcglv#JmtUIxPr{iqCoLP6u><(pCp9*v@(7izS0^JLAFVMX}_X6DubT81oK=%UO3v@5gy+HQ@-3xRt(7izS0^JLA zFVMX}^8(EaG%wJ+K=T643-m6~yFl*(y$kd%(7QnI0=*0LF3`I`?*hFG^e)i5K<@&* z3-m6~yFl*(y$kd%(7QnI0=*0LF3`I`?*hFG^e)i5K<`2{QlNK%-UWIW=v|<9f!+mL z7ie9eb%E9eS{Gg;l7+Do7#fDbTjCt5cwDfwqNJkOFNBv@NVs6=++aZGpB0+7@VA zplx9lq_7H7plx9lq(IvOZ40X)1=<#9TZqmIv@OuKK-)reR*23Dv@OuK5SC|iii3Y0BGWd+I> zC|lUwDST_9K-mIi3sGAkS}V}C5UmyHTA*uTSEoSN0$mGqEzq^_?Tf;$PJylkx)x|! z*u^Q(v_R7WO$#(FP_#hN0!0fHEl{*T(E>#a6fID+K+yt43luF-v_R1UMGF)yP_#hN z0!0hEHiccA0yhi1Eby|x%K|S8yex;jWVfcUTT^VeMhS^(8Vr?nRZnG|rKqg4M3r@x zrn1gbRMuIV$~sF@S!XFK>nurSU0qXIXNfB7EJv!m5-oxE{+glvV>Dum`G9W4mf^zU} zZ|Xzm_MW;kG3{uBq_Qt@@dioRT)aV2HWzP@l+DE(B$c(PIdyC2_L$=Dp7K)M=2{Gm zdY9`rG|J|d85(6TPH(^cx_;%YHraI<4D}9v42H@I#X~X}%H|;%3}xfVLRi^&GAPRC z;TRNU^KcA`vUxZb!pi1u8YGpCiq2t>luhR_NXo{)K~gsUErgYge+yw{N7>v@gQK!(aX$@?vgzaoL)mn4gQ0BtiNR1d z{tSk)@nQPwW}860Kv{0xq=@o#XHjemoqZ2TJ>W#ixAC>#FF#$pqdcIz68Nn~>c z7L&-fZrmWZ4RYHcw+(XJAh!*2+qA>!?R$I5)4GSeHwbQHQAyiaRHD)bQe#nxY_D`1 z+jk8h4Z_| z>#;CK^;{21-JsMBO5LE;4NBdh)D24Apwx|pF>PaEj7t2Y+zrazpxh10-JskJ%H5#c z4a(i1+zrazpxh*DZ5x!kLAe{0yFs}dl)FhAr#E+Z?>u#L`|-W|>#O~{>$Th+pMkx( zb?2$u_Uf7*s=eC3yTvF&gd0S-L4+GbxIu&)M7TkO8;eZZ#v&7yJVJ|1+QuRimGoMR zOk{HlEi#eKBb>)GG+^uYwR_w4T+!*q!V?{gdRcfP8}&l18`Qc%tsB(3L9H9qx>@*h zO8U9Gvw1@kJ4qb(!lIS7v1mmlBM1?1ELu@LmtoP0Y%as171`Vii&omkq7{|g3yW4{ zb1!U7P&W6%q88csx2Q!n3Sv=EBBRhqwgHm`3JUd-Q9bKrY#R> z2~*n!xA*Q>BCK0u0(HxYHNLEmNE4I??(JWf+-@FLm~V2jw&Y}O$;GPD?r{shTlg)_ zJhQ3m*xkAJHj&UefP~1r*fOF%Y&TdvO}xHy_s;G}>&=_%dhx`V&U*9aZ1eVwn>KoN zxP96d6WbPWw}86^+-=*h-@J2U=lbTD$NV%e@9du0xvlF_s53g5>BccJXaRRioYWF0 zwP3pi+b!5`!FJnqr+$bTWH-v z>lRwK(7J`zEwpZ-bxWM3oT_y+sITseTzlunp)nfcKihk!HDv7#>oX~wQ5V$TNZ{y0 z!;a<{?hFxFO9a*ufwe?nEfH8t1lHQ}WZM#nk!@AB30zAgrfjS0V@7$+U2pE&6i*3P z&so*2{hNC`cW=JKu7v3Tc~^BNlREOQ%0_OO4v=?M^(M6~(}9-hK+AN1ysNG9uAWuH z?{1HOz+nGqTrnvi`>KxOelQ;(`>N{EBjy8SUsb&cZp(b2Wj@d{A0Yc`OZHWjCirAu zm2HAg_Ep*VXCgrMRn_C4i2&JGRgZrr0%Tv6aG{7y1jxRsdVjxGjgEDfi9pLlfNZQf z&VWZYR@wMxB0x4))#KlmFC~-~N|23JHvPetFJ;qyfKN77)f;eIfZqcA7T~u4zXkX$ zz$bgFK2I+I_+)RDVB;U)lf6~-2K*M_w*bEd_+)R@ar8ofPc~Q8qsIWh1^6w%ZvlP_ z@X7WnaL|5$-vWGPfwfTp@LPc20{j->w*bEd_$|P1?aS!`lHLFAN;7-n&OWo-ju^fp zh9`Thj<()M_E_20`#NIyjzv%M#_D|=gXE2sZBJi$W6x^Y5}rzhYFo%2D>!mi*iQCW z)!RKJ`>X7-K7v>?k(+yWk6vEmY_ObkuR<-?P7qGISJhijCB3UaYts3WLppAXIirDKJzmz z*>=74XIgi!-Mn-CZS`sMHEm(t&NrrsQG7Ld->!=^F*+{Jrtg~GkSs>;F7Chi`1E~y zN_>f1@0a^`_w4w~6uB-PQRskwh|j57D{+VRAnB-PRTTmZZwsgCNo0P&`N zeiwh@O|=Q$NvfmcZN!sQN0T(u8Zr?ec>ke)~NVO^87+ve0-2W-gDqeJNYz$O5jKy(>^O#n6l z*pSIbGh%K7upyI=>TM_oU=x5%05$>G1Yi?@O#n6l*aTn`fK324J+SFnGVWP2?!iqD zZhDrC$tcv4QAnkAJ~9i*HrVzo9g|^5^)~o>aMQEL*0aaf+jmvko|WUC$g?N%Btwzj zw{FneH&JEdA29W-8k5OL?^_q>0ab6`L{+_Yfu8kZG99&KI#OxfkW5FiZSaxlNVau; zG9Agb=TD|1*@iGO9m%Hsgr8(OQnX`(k4#6htqYRrNVYwHG9AgL{RE$6I#T_{>3fPb zw;$iUzO7jJ$s@zv+qVU)o~7fS__OcIsmJxF(+I$o6KQQ?(0rDSNr=?)Llu=YpJihb zBB`FoPXtOrB-PV=B2W?{wIoDRY2BZMNV4%y1WH0A)zf?;(4GjiCjuo=l8)o{6M^+S%0R(H6Bd9E2*9(u245?~Th5 z<6_IX$?Lh?>nQieSA=NVkh(Gy}km?zN#Gm{~Nc9Xs z;!l1g)RK%zCH|Ssk&H?8_-6({GA7mIpBVtjm{gB{W_cuC(gFfQ4bYQxN%ahMKu^*o z)gv{`@<_U*diol(Jd!S{-Z)FrB`s8NpNT6;x}z;+;9*RXIJtFB5NsmZ+Byx!C{zarb5;;U7g@|-Vq&p(r5$TRdcSO1)(jAfR$f99H zx+BsZk?x3eN2EKlZWxj7h;&D!J0jf?>5i-%Mph0Z(jAF5BGMg+HX_m;k?hD;UqrGa zD~1utj!1T7#V{h-krl&;WJhK;5y_6M7e*vIBH5Ak!pM4IWW6x5)fd_7i|BPkuOsV) zk@dpJdSPU}FtT14(d@`KFCwdj5zUThc4XBsqS+D6j%amcl`yhO7}4m+Dq%#6BN`mh z;K(XqM1vz59MRy221oYoBGF4^(Mx0{Fe1H?mB7eKU}PmQvJx24+lbyq zRsth>8`0ayN?=59BYGQ&G9!8$(c6gLMpgnNdK=N($Vy;DZzFmeSqY5jZA5P)(N;un zBYGRzw~Od)L~kSCxQOU&L~kSOeG$El=xt=ZFQT^*y^VbHBC_5W(c6gLMk1?-u10h< z5?MubH4<4xBCAML9nsrJR2|XVh~7q`>WJP(^fnSzNAxzLw~?qiqPG#fjl@+Ey^X|G z5uJ_f=S6fjqO*~BDx$LyosGm(k@dUCMqXt7F0y_X*~p8;QzVbmLa^yJN!PRxd}!O$ zArjR`LWW4lK$0~r7@NM6L`}AFiX>{XZAwTIHQAh>kbtCWsy7}+LV`$05D5t)AweW0 zh=c@*kRZX21V0k|Nbn;O5+pd1;7Eca363N}f<#D=;7Wok39cl#lHf{$D+#V7xRT&X zf-4EGB)F2`N`fm1t|YjU;7Wok39cl#lHf{$D+#V7xRT&Xf-4EGB)F3JDoKJb3BDxw zlHf~%FA2UR_>$mDf-ecaB>0lxOM)*6z9jgP;7fup3BDxwlHf~%FA2UR_>$mDf-eca zB>0lxOM)*6z9jgP;7fup3BDxwlGv3>a3&EGBzTkHO@cQG-XvlIEwR+8cw$#7!J$M< zkl;~*M+qJ!c$DB#f=3A+CBE60_+CkZPYFIH_>|yNf=>xPCHR!!Q-V(kJ|*~+;8TK6 z2|gwGl;Bf>PYFIH_>|yNf=>xPCHR!!Q-V(kJ|*~+;8TK62|gwGl;Bf>PYFIH_>|yN zf=>xPCHR!!Q-V(kJ|*~+;8TK62|gwGl;Bf>PYFIH_>|yNVnr|!4 zUkQFC_?6&Sf?o-KCHR%#SAt&&ekJ&o;8%iQiT$TUe36JR67fYMzDRr#C9xiu;9X)p zFtHw(*ndiV5hbzzl-PetEDR=A!4s?CiT$U<%3xyuDX}t`SQ$+0KP6TM6Z=nz{inqK zQ({#xvHz4<6-=xOCcbczSQSjH3MRgAl8C1gtAdFyoFrE16MRoB2`2cS;Cq7ai6z0r zl3-#e}exB{%^qZ z4S2o*zc=9b27K6n4;$#h2D-4p^W5NhZty%ec%BKt92qpNdtb&jsi(bYM+I!9OM z=-nK>o1=Gg^lpyc&C$C#dN)V!=IGrVy_=(VbM$VG-p%R%bNbPO{&J3;N-Lez>3?F6f5~`r(3pxS$^{ z=!XmX;evj+pdT)nw=S5sE||A2n71yNw=S5sE|^Cxm`5#{?<|?`ESc{tneQx_?<|?` zESc{tneQx_?<|?`ESc{tneQx_?<|?`ESc{tneQx_?<|?`ESc{tneQx_?<|?`ESc{t zneQx_=Pa4$EScvlnddASk4whmlJQ7V8~u@4TYDy{jci+wBdLvSTMs0ujckkKNNOY7 z;w+Nd$hP%BlG@0&byt$w$hLJ)lG^C&6!>SJO;Q`x+dP+~HnJ_wBdLvSTaP5Ejci-@ zC8>>UTlXZXjci+wB&m)5n6AZ{B(;%kaVAM^WaFQCHc4$%Py3l?lhj7__-CFyFwZ8r zjo!yU^K6pa=<6f2pMFPj8`a~VemBrxNIs&kh1m6yG(@%?Ptp+C)t_=8)^@6_epJ@a zsjSagW&NDW`kYnP`>e9IQ)Ru+D(iDrS=*_yK4+EnKC7(HS>>VM`ka+}5&y*rP0=Qn3hN@eXYD(m&BamIVuT(|Li&OXVU^?a4)CmOG0 z+vi!|mu;VCeP4F%w{zC_RoZ=EeP4DRH!7{2tnbUVcCvmi+uFhUy=-d->-Tfk>s4|- z8^5ycKC@mg+wOC;brspP$JSM3(;izlnX@jhvi38ToZr?>WOII7H<8WxZQVpR=eKne z*@x$+J*MZXr#+_UbJp2aaz4{%*__YxSvKc0J(kV=Ha(uR&aRT{H(tx;{?hMQC!e!U zu9ElZXRI^NS!Y(s`E0%^o9nW9q-?H>e#QE+>S?FVALpzaYg%jlmUTth+#efdWRD-44$7{NUnS?Y;U=5& z+A^kW&TGR>cI_rA>*H2gyNSyBxK-lca4Q@CHXQXM|0*9U@o&RXHtn|ID4TZMFqDm7 z8-}v+Ys;6iX|IK&N+N(CTc(uF`AzO+(=Hp9vN^vEOWB;?a3Gs@*)Ww&yKGn%rqL?# zV|b8FJ8YQBu5zyue>P2$jX#?v$;O{elVs!1rsqnIK>G|gvU!e%8`(TZlL6VZ*Ki{n z|Argc_&40h#=qf4HvVmTuA~h3x9PcT{M+&&Z*nIa|0a7%LVO=d)?1 zl4Q_NZJH^YernT7*^FshAGr*bjKZ#uT!ymk`p9J{+wKp! z3}xH>A(x?S^G7a2+14I%8Ok>Qr z2RYtk+qfmin{2y39`bUm8*``Oz@mBRd({K43MoPAUU-~V7%SiRy7y2zZ-c*l& z`Yk!$RL^~(-;(1^_4udXlH*OuJ$NqkTXMXq-ueSM-el8$`Yk!$RL^sv-;(1^^|YUU zOO7|y(|-CbIo_09g!a>K$?>Lo+HcF~vgsGLj4m7h^mB5&sUH9Ib8@_?9{;wiq+}+v z-ON*eRR#Ti7X^_M=1OcvC&&&%#dGJbw#2Wz+vH z>{OB(#=V7|vgv;ocFLyzTi7X^_FLE~oAz7SDI5P5cFM*-I!Jb#LUtRKcApBzDZ9<7 zePv>}a>a_qiq?wG3U5WQqPHSik*wITVs6F4ilr5J$YzyVH0G}{e~tNT%wJ>v8uQnf zzsCGE=C3h-jrnWLUt|6n^VgWa)*Q9ws5M9J=twJV<9jN`_f(AUso=fwB4mvhp<=uU z72`#y7%xJ_co8bbi%>CMgo^PZRE!s)V!Q|yW23dAXZ~uVWtqR)Xj$g3Hd>bXtBsar z{%WITnZMd-S>~@cT9)~1%wKK077(p{we7O3eXaRxt$nTeYps2)`D?9xt@&%MeXaRx zt$nTeYt3J0?Ng4Qv9+DGuQPw0`RmMIXZ||#*O|Z0{B`E9Gk=}=>&#zg{`4K;(StXC z-u!vi%wI5n!TbgD7tCKUf1&!* zAH*K7MSoAiit0gsMZ&D=L4QM{TGkZ(1qrk2smC8}j34*))cUItX4T8p--a;DPG*;@ zKWJ^0^>X!RA*yB9sXt~n*CZm`b{_PN16H`wO}``p0i>^cX# z&cUv8uY*RDb%(gjv;}elTHH z^{1apjFy>iYOER7h}H}A{mJ^C^#Xl+(yZ!TYeHt3 zKkEhh;-poYKkEhh)}&RMzux@y=C7}<)fXn~A<_KB+FE^E(kjhgG=I_jMQdL)f6@F! zYhN^f(fmd87tNp2Bae3}nZIQIlKD&KFPXn&{*w7i<}aDQWd4%*OXe?`zhwTB`Ag={ zdb$3%YV~ftTz^{CEc=}Ga{XOZtF+HqFV`Pct(De4^`}wIvLmg3>MMP<()y>q&}Wvl z$oi+g&8JGGh#ikqF`iS!c%+K)NEKt-RdD3kc3ETFRg7&{F}6X)*mf0T8&r&KP%&Pa zit)-+jBQXVTJu-sP?q_tawyCERb`iD{;IOeGJjRsWtqP!m9orVl}cIWuPVDz-kQIv z?6S;Xu=Z7DSEaSDjulzfzN(nAtbJ86Wm)^GV#>1iRmGHL?W2gJS@z^!aOX@!@@i)%)`PwEX>2gJS@z^!aOX@!_qt~ z&BM|>EX~8xJS@$_(mX89gMI@!wqa==mgZq;9+u`ozk{rYSpOW%(O`}Sb5xP6^v>p} zB3YI>s$wO}996NBWsU}ORK-e_=BOfBIf|=y{bkM3yZ(@-71e`rOlg7ZMHt6q)z%uv zWYyLh$7I#k>PLU$S@fGfE9yn)7k_3|fBL=0|TNo?=0oZhxuiV{ya(jKLBpds;#$+F}<#_CDG3F6HJ>1#bynbD|U(UR0|Mrc| z-ThlPH~04*9PaF2yE*>QUZ33D-MqGQ{jJIhp}b7>Wvkcs4vlU!&hbt)-nw~c)&t+V zd3dO=pBp!6wC#BL@txb7XAX^>+dF$l#;xtG9W&<5hsiiTtS^(pWE>wR7_Ewz)g$(S70 zP7e#y!@~5iFga{7y&p1;&n9DZdia2DY(D(gaDwVT`b?wP$Y9NG_#?<B*e|R1xkv;M?zCJwX_`2hGsnCbLKK$%he|Y@(dV}M~&mO)WS6Slv zwcXA71N=LCv)7C_%eu~nJ)VbkXS7skUHr1rgWkBOx1gv;pwk#T&O zjN^W@Vf|)y^Y|hLb8umNJo=lpm-X|~I~vJ%pP**rxaR!Mm?~@gZHJF^e8ft}^5MN4ID+j&5GmwI1otXiN@UOb?rAKwM6S{b)?i zHqn5%oDBQXm>f2FmT~&{Mq_f=WYosxM7T!d_^{#1qzN*Pn;>Iy*hF~ZFwvUPm>f0{ zo;XajW;7;;byKI^)M+<8%uf&V)5HAqu*n#R>aUX~Oa??8`svyF>0$l!Y;k&6oE{dZ zho$LZ8W)F@i9?zmwlO_SgXQ?Jjp<4{GA4&j`&*v&HyM+|ru|Ld6qz((+TZlekz;X?F*$77-}1D-$(S5w{q6J{ zG@01EcIU~eeM+BjWt7BG%k;XLylyA2yUA-mc^xLN`^oD#zOLG*KQw+>X#}pDzNgL0 z*T$*ch-_*W$2GHe9DPhbsXuP6zW+5fCcRd_q@TRAG3gBY4gK_;$)nJ(=%?>Y?w5W? zKYeHFbYn7Z^tU*VZ>xT5KmE*P+>GxW-F^KOe|p$t+>Gx`4x0?3UelSQZZaB^!zP2M z-(U=_eVRvUTZu*VMi0bFl`zGVqsf^>Z%_pNnDFmj6O@>N8pWb*Gle0~RigFE1 zZitM@VUsbS6a>@5CXzY6Gr6{jekxtT^lTF`RpNr_*{07_?@Z1%eWvs2GnFwpZ2C;+ z(`PDUa@h1?Y2r0$>GWYOrcXh}@nJHK&$gI81sRjWrcYrp?eQ`uhfS17nHDBDM8@Q> ziNy4a=~Iv~Ic)kA7SpF7V{+K^DJ-VLOvdD}3DWw-^!Cb_95%hZi|LS&F*(eJ%!&Eu z-}m&%mz`Lha3?RFxS)Sudh#PryyC>{BThV{ z*N>gp(!VdP@4n!~BYOSliO2Ns^J~o`_21{!f1g|beYpPn(8-G@&dJk5)f!*Blh3KI zpI!ewfAZXkck2D~)f!*BlV?w!Iq}7+J6r3{o_PO>wUcK~K6v6YRX4ul^zYNEd+_A? ziI=Hve8=hEtEwAo+{x4RlMmE??>})yHTTy~ocfNhzC4>h=j5r{u37zetsdoSi|(s6 zC+oi_u72p9?n58%Rx9^=zx(pp@2%YLzT6$G-0%GMD`&s+PWRidbpPkT{qL3gUn}=N zSMGm2^EBX>+9}69k^e6 z*Tb`4Te<&u;Qqsb`&Ajgx^n-1<^J8u{o9rMH!JtASMFb}+`l|p^FMKE_VWks=YIC$?B^bKKl?M!n*HoW_cPCOKmAh= z&VKqu?x!AfKdB>r^1%Is&i@ma+>d|dnc0uO#QoThUYz~d%iNFt$g^iZdeQyJv)vEt z?H_)j`xh784}I{N*$=JU2S4zZ*$1C-AAEZ416M!vgO_F>c#HeM)wLhI!Y*pe}((L?|uI4`&#$C-*aL1z0Y^w z^UV3#_grw#eD|5zGw0oRpK;$MXWzAQ-??)C=ppwHpY8s^%KiP7`+F<*9nW=t_YwDZ z9(LcZ^L+b(`!*HdcHq8M$A9ai?psuR%RAlQUb(;ZGWR!E?r*HzUthWRt=wN*cYk%| zzWJNZ&Axf%zUiF%rmJh;s2lZ-2ksm6k#Bg+eZ7jWKX6~C#(&)l++SI_uYK<`v#(vb z_rB*Xv-dvZ-uv|0d%pD2>^*OB@4346msjp<)H}Xr<-Yo|d$&IL?#Hfv$bFSQ`c*G- zUwOuTg{r>dweHJReEG_~OZVYj54$gWmiy96?k}y}m#o|uuiRf;xxcV-e}3h@=nF5+ zzG&sX@RIv;EB6H}_xY{+v+s6)X663$%02yv`%~-gPp;fMSME=&+#f%1pLgKiv2ss6 z`M%jxEBEC4-2UF9v;70N_o%yf;CA2XK6mBr-g)`#&dc5H19$7d-8^t_Te&~Bayu*c z#Pu_?Ct7!7(|z2*Uz|X>u&RN9-3{w+kMW-3$xF8$h~#l z{n3?s%gTMW?9X1g&wBHtv(H+&H_LkSqwX_T?lTVDn^x}AWncZ!r?1?nt=tL;9^ zU0u0P`1o_PPdM*B{+#=`k3Bp4xQE@xo^^j@%e`XdHZHofa`8E?56_?Vmt61{XW{uS zynoHFpPl)O&Og1@wP$ACMb}+jYtOjm%KK)`%3aa_zU2d$#M#-4 z58OwdcOQ9m?L`;eN36TY9&;~z!6UO5UUDxu|D4$i9&s=D&XXsuzH9B#v+ntiymt2d zce+R9^pV%P=dIjxFSv*0?coFWkm??~qwrv#V=s w2hMG|`}C>%R_>&(_v8h4;;cLQohP@x;7d+^^zV=VPW=98#{ah!FFf&o0gxh5OaK4? literal 0 HcmV?d00001 diff --git a/app/__pycache__/__init__.cpython-310.pyc b/app/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..899e0a6c0db9fa908f6282de8758893fb6e688a7 GIT binary patch literal 139 zcmd1j<>g`kg0qd~nIQTxh(HF6K#l_t7qb9~6oz01O-8?!3`HPe1o2BxKP9mwQNK8~ zs4O!%RX-^wRW~tHHzz+iF(TZlX-=vg$edy( IAi=@_0JWkXEC2ui literal 0 HcmV?d00001 diff --git a/app/__pycache__/api_client.cpython-310.pyc b/app/__pycache__/api_client.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..4d2b577504bfe9fdafd1f597f108bb144daf071c GIT binary patch literal 578 zcmYjOJ#Q2-5VgHt-zLgM5fUI#(Qc6}B?Ur!)TDvxC|1sTF7e@8A7gJsPMeOFUjRtC zl3zoOTdMmDh=TEjA|uTk&**vl#^a~ceMa{4*C+d)Gxj?tcTG|9f;^lM7-qO*GiHP- z9AAo=;LJ!UObNm$kaJ}wrur;rrQvT`y|<-1>~u?gStZZ!0%@xr5B?`YfnDRq%17oZJb zNRw!n;D?yhC7_*O)hg|sLu_LnDOCs`2M95wf{JPXmeWQT(h+JKpq+bcL)38yNoEPP z#5^OG1gX63!tn>g`&9Vzq%k_`CIDXA4w^Fu$J!n{-)U#pfDH{qZrjdT=;O)iDpgrb zZk)S@dju7iT<}A3$<^OVRU98uxmI{cAxTa1Vv&zUh?tZ=TR<0goSld}@F26QXG?De Q2ha01LtakB4)`PS51Lb$-v9sr literal 0 HcmV?d00001 diff --git a/app/__pycache__/auth.cpython-310.pyc b/app/__pycache__/auth.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..20a731a79f4a1a055e08f79d95752e984d9de97e GIT binary patch literal 1408 zcma)6&2Aev5a!?hT9O4PZTbTgXnQDBKoQVmVH81gC{Uoj#HYOw%#w0eS??+&H?oD* zDZcg%day4A`XGIQ-pXrFeuV}|IwRSw3p7Bvn2#LpkURY5=@T*$*APdJO2oTuADl;E?t1`33aUxL zGMX{Huesq`fJI<2SOS)U(Qk>)jF^vfuJ9QTQ4Mr220HyQ+VGxV4zCC$(2uUjM)X2wACgVvNiQz< zQB_wAvWU0kVvt4r0LujBg8~hXu0Mfnx22dwAwRJSq~y<+=AFe_4<5IT2gOZ~A#D9A z&{|ie@>Sc+&Zeu?YC3Q2=@g_1GHbQb*Le9RA_y!`NS+y`jddaM)v0MaU&K2h76Vn5 z#i58P zUjYp0eUKF6g6^L9b)4i>FhLp4!)*LIO;Vb&G5GL?uHXNcKHaXgUnMW^bUHyn-{#M8E|E&h(|=LrAgx*cJ{7VkKc=RN{R31f_o-!RJFqCt9Z m8Oz@sjJ9zTZZXP!jDQROYsZit?sEDDZ-&Dwo|2Rvu)hHI(MHDr literal 0 HcmV?d00001 diff --git a/app/__pycache__/beacons.cpython-310.pyc b/app/__pycache__/beacons.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..330789c03fce8dce9fb3ebf7a7df093d5699c202 GIT binary patch literal 1300 zcmY*YOK;pZ5avUo9{cd4u4@-93iOmM;B4VT4uMhBh!Y@ylglO-p@kqXxrSm%yC!KT zTTnoO%@47U{U7}my!Mp8kVD%UZEB|yIN}V4BYxj}oDT*mf#=(g@5(wPNG5p|)o~WrNtS>gWU1<@z6@t{yve3>d%BsW$%5EZK!lcWnXQ|!Tlb{pen#z#Z+JMu8u%|#$gCKlpF8E zY)fuV$Y|>WoRW-$4_{p^D&>Qda%w$4ZkC=;l=bm*t8{UOE2pKgA1G!sKWOHJZ(`U!8 zPhaIPj-TYuo%(K|5vcrccQ zEyhM^gfj+m4vO-inom1I^tf0o#%t8(;bQ5B`K;8&<_oQiYAhBrD502c!^?gT;7Is` z0IT{GNP`WklIDN-P*!*N{shO86=_*XT7FL2K$12@T$Zhv-g4kId!5h0A4%k5vlW0l zaN?G>5v)aB?gJOKAtepH+;gG%5!m7`nDGg5A?*2~jUh9(P{lmHJhY*U9bK_DvBD)Q z+NLhm6C1g7MfJq7o7kndloH6|E@C zRu|I?rH%dyd4X=5tICdg&=Y7(TAH#kwrHlH$qFI7%Vu;+!8UO+!o zBlR{!M!l}4-ow?XsH*u}1sP|{PR3E$Ttg3~-tRVp);zuLB;dI&-fHYYCxNy360^Qg z@9?-bzt_A$m6%6h1PdsLvUIqLx=zT3sqh^_W%F@ literal 0 HcmV?d00001 diff --git a/app/__pycache__/fingerprint.cpython-310.pyc b/app/__pycache__/fingerprint.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..11641e4faf2b7cc69ac27a9069c152d14b1c33c8 GIT binary patch literal 2774 zcmaJ@OK%)S5bo}ootd3|*s+51AS4q=fCX#^kT^t)voH?9 z-pyKZyMA`!u5>;oq9ME!BD`aEOyect?vS4UEAHN-w#AF0G~A?Rp?l0W1vk8(ajk7* zkjhN-Tbb=Y4Hkdy@Cd zqMrPUI9Uf?vfZckYl)Vi6#7!E3@krH%m7eg$SFA^JLEathOD|K&E<2Vu7IW{f4sec zncdJ*JxTj=V=t3yJYCDmKF`vLR2zIW+8E3|ULPIW;8Di&J;66Su!_dr0y4RIDXjGi zGuU@Y$N?W`CK>R)Db*o>n3devP#dm{6bUzzI|wJH;jL)SA-G>d(7U_4)~#!R!hRP6 z`B}8rVKR-jA_=X?K09^J2v*<@QA?ogxoR06Y8A;fAhyxZBv;QNFIr}Uc~;a)tyNM> zgRI8#32B#3u3ZkZwzA%yapAtRfFo|HZXo%GQ(>wT`D~ObDI!qUb$XRfZe8|g zZfMZ z00s;sp790!!8vjT6V3@S0qVC1*f)fGE&;G=i3e*oPs1~^MRwo+h8_7wLDe{IRsI=0 zYF16r7!$R5@SqCLZPvghJZe=Q*o0uyuG(m$Kd)N)@xccb72dZ@apRkI)j9@mE4OM^ z?E!SZgAYL3K`HnO^hNM!QG4*fboZA)!YW7j;D1L1RcC)Wxl(nYr!^-(h0*zVoWk)g zcr-4eS@I%iQx9hrYY}uW`RrjdKQIfrewmH)LO+ZaPS1k+3C~KEK8ye$CBdYO9`EdY z5*0Gbcr-{02`7(7uW$41NXrOr3t1T1n=R0zaYLBHk^EcbIRGIZz8&b9zhNDxfak6c z`2<8EX8I#LU{HIr0_!=Jtv|3dwRCSTot}m8k$^VVFZ0pn1}ya(7S1Y}ymPtiOqpOq z8(@7wuf&e4H`nK{|EG`Y4Onx&Z_iP0g22*!ONVoD?T%Up%>y(?XSS`A^Jj3IHfjj0 zf1d67c=uMUr%PdfiNR}03Y}5)D-m)% zly+>8B$%fpv0;+rr5I<(x0B>x%(HXNQj#ouBqfQedm&bGeZ|3j36)sGqh3VeJtVIp z*+Mca=P8HxoN5BWuLg|`I3xiJASJ7G#R*vGhT*bPTlALEtHBs9Gw@1biQ5*|a{YlO zwZapn&=KpwX@jo^)j$b0P30rOJ?bVNH=vG2hw42L#NLP(f@`&jT6E>#e1y-BX+Adb T_Rx5vx5+ZS4!Gfuv8(hi!2gp% literal 0 HcmV?d00001 diff --git a/app/__pycache__/gateways.cpython-310.pyc b/app/__pycache__/gateways.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7d1bf5920a1c03e567932c18bb29655a014160bd GIT binary patch literal 893 zcmYjQOHbS|5cVrhHifFsLkowfC!%WEUbs{U6~VEsD$!Ha3VCC*a+Swodx1q+snYgP z^;f{Lf63RL_zRpm4i7QWj6I&2&z?ux)zuUMJ-a^BUnoNVg7T0OP(A?LZy+R+xI#59 za7_wQ(}LElV0BbP7)c^&#p}3;>!e6PXKElLg%wljE2M}@6+I%bi-LYcftlno{>6$% zGC4r`;0kU)dE}$7vuUL~+t;P@bhnv%dZ3(VAGLK?IQS61+O(z?l|EO8wJ1H;wqKbP zPIzvVo0+BzzIPPECIa3Aw!c9*v_uQ6(Sl6Sf;!wGN0!7s?QlmrdPEOUhxXC;w+jX~ z<|x?Kj-Pkzf=MjNC0Rr+>Y^oH@Q#};2XcwcR);U*j$dMoItDm=8$nEDb~<{IxIyp_ zHaNS#C8y_q(hSIG*P2GW@0BbYW}>RvQzf%cyL;Kj2_!3Zes8SBbgG+42H6jHj4E3r z?`;(nN@PZy_My7DiOn|dYIZK1&W>lIk!?0@t<_^)sT*idLpf2NdTOEOskXWSu%?85 z1X#~x-<64SCX9v|fbdjE={dYeH4*}y$zv17%Ez}k6ns4I8x-HZ#xw0y?I}FctbpfV zWM0E^y*UaU99d;fbg4$;N)3e`R&Ck$+Kk|i(L^|PD&}@`I`=QsnKPnvhqs5}63YO| zz5&5wh8a#tiW6XhS8xKH!pF#COn#=stb^O pJxH9l;~%PY=4EgTP<<8;#99bVw(C~TDzy^^(gw73^aQ^n{{f>0;d%f7 literal 0 HcmV?d00001 diff --git a/app/__pycache__/main.cpython-310.pyc b/app/__pycache__/main.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..bd8a64ed8e5a21cb4de90b22a65bae9b543b68ea GIT binary patch literal 17492 zcmc(GdvG1sdEdV76BkcHAP9ow5`5v31VB=vB!UD*@BxXI1j-~OT1(T{7xyfH3)~mZ zE(qdkuPqC72qk7h$4Q&SQ3`lEX_cmN`$s#Iagw^zv{R>TnrWxwcGF4Iy3LF_lTK#b zPNsA!_V<0e_W_U|_rC&j&z|?5^PTT~zAd-6Cl&mCZS1}L_dlyBKcGVEpMk;!MNyp@ zRZ)auDMA%mK`m;Qrcz!n=$6h;!!r08u_FA8T2X$+tQej~Azn;a2_6$EB#TKaS!}b~ zxEw8{itScA=VOJAVyD$v?6SIw-Bx$8$LcBWuyz!Ct={l`&slvu?@p_qpS!GGc*Y9@ z#og8*_em7?6!%(tRmCH|^gE1RN5wJpI<}@+N5mUqRE(j|uy|9P z6sM3&i)nF2j3akcToV)GJaWgxTjGM4MDDowthgvHAva==ipz_d{I)%^reM|j4gRIC zXJ-NEv82*nUoF_Cq%V_Y{@u}dOfnloq1(p)Idn3rz6;~Y10*^0X?ZS(q# z8&}O)wA->G@e(wx$h>QtJebBg*r7zj3pWziS7Tb}46@g>t!K4(FDo#P$oT!L&~6 zI?a`QNt9R2V|Y_3@0PLlxwB?P+9IEG^W~B`UoJ12dB<#BUh)${^t9@?WlN>9o28D< zG|CBrSFVtCoV4c0QLx>7(e~q%R?8(DU5vM~?tD7x>yxEb-?)so_{JM~$MxgaDl|{F z;74vQ15$qE?Gnlu63rFzSU+;@g>qJ89NTrVOsCrYh1(}a&PWk+W3ym#_c?Vzt0 zojG53T18Ow>G~|dnFA;UVh>WXjsIIo4Z>kGKiP}STBO-KRY-%;t zje6=g6%p~2Zz><@A}V4JiGGzEN;*DmrHc7NA@A6^a!EL8)#9Bx6+2gr9y@Vj{KN@g zwH~YHO{_gKTUd7H(=kb}_VrSEMMjXb^kp|^CGt)gh*iwGeoWd7Yd^w>l-6V?4bWWY zV?_=i`?xJzsf-a)k5*QFy-=PTLajs74ypsH9Hj1gF`JVy>fK(4>uo^g&K5urP^gbi zfRM;|U`)%31pB!Gpm@rfx}k0=A1dpL(?xab%7!L1p>Jw<8sQV5+SI7ehE9E5V< zjGNi)_{_}s=;(2Ca`NKEOP4NRzH()1>Nx60W@bjH9yFaTNINT5%~E|KBADemqmhFJ zmOxswpsu@EXV^IXSRL_|$LhGRj&1=h;aC*E9RylBkvV|#PO_%1E1v49LfNT&RokU} zU0c!s1oac@&!-E*(MEwb`Hxj!EpnCIjYdCt4v6OF%Eiig!dZt#3@X(@T5krYJ$jCL zo^u|VdPhko{7DLlJb)w}mtA=H5dv;S?&Lg!*Kf-J=$Y59d@ghSiXQV*lXz*3x>x=fP9~1U$ zcDdl@fOd^P%E$4$MDTh6nQA8?psTKFvfTsP0czT&b_;ZOOYs0RLvi)hT`DAis=UiJ zE6T^}blUKfc_&|T+$v^*P)16IbpLIuJ|I;$sNel6(0L`hI%Q``n%uD6#|dJJOtQX#({=n&J7>-Ao0H zdkc;eUM2A3Gc$o|0n4ZXzlm))9j@l;p1Owr57arOrs1bo+gxKI0t!%FKt$*djhb;w zDfQqyqpM@Vd4@fVW{-E3lDYzDiRgXBGZtdRK57vWt3^fpvT`R?i+M3Ga#xYBc@ZzR zOQ}Uwj95D7f$e~y-EzTp+ysqW12_K&dddf?n_N?BajXgTUUZkT(YC2zuEVvYoAQ#F zzs+mo(XOX$v|}fz+f-F$X~t{w;&|7WJbk0xYYXe*8y!L3OEhcUPA}nUo-UFPp{Ib^ z{T_3sHz3B$x!}yr+2GK@*4#kQXGupe?R%k)!or`Bw_pxCb}`RP&IEs1e|*G#BG*V%9e>tz*Toy$o`e zk;`J3;n;SGm+tE_yW(r5P~bF}g5R|roL4cua{);_M*P9hzzg+0gBhLCZU1=S;=OJt}LyYY+-Z4+Vx zPiQP4OO5csMqeu$yvvG(Zy^3EL0C3UQNBbyx?mtUb_SY91~SH7b|5Al$drf_Xy#eu z9Od#zd{u5o+f+DRhDO~*ABR@k!yu9+WOMj!`J>%kAdzwrnYu`U`2__P=8!H11hgvT z447dZq7%7@7!*BX2Xaw6CiaLvvGcwG(=0CfvD>|bjtxWQ;_@s^2tU~X*jG_p1?rF868A7d599yH@1ORPNVM2__1o#r&LFu+U95`lZTa)$vlfG zq@%Ke(SE`%Ef;N4F#YyARA408_n->dM1tKgaDaQDolMvcGHF!J*jZQuP~$*dg;}0* z+d@fX2g|6@YKa7*YA-M#3euDS322d^j{41D$OYNvaf#4A^X#I~Y3!+9| zmWK@C%z|=Pl`+Bx%6lqAwSk-p1y9?ANcVs%5ZJ@6zF@d8x)!2q>MT@+g&0J*`cS7H z)Zc?L<;Fc7I2ZAtNV$oP#3sbP7e#B*Q_m@!YomVjwvR#Ms(clz0E?7($a|C!NrUZG zd}DUGP=GN7e#l6mm$D`K9<>_83ZzTDmyy7LV<0jxR;jj%#4_gc;vV?0l#+0H8;t$v za)qqn2WVnkC%u^1U>pV;KQ&S>tNl-dJ{ah?H6iXiPL?X8C4qNkSGQ0pagqk_vrr)3 z=Yo{hC{-2!tyv9qfGopOBjc7R_f8+kPUn+|ZNxpJaT2OL3iuM|1Qfrj%>tTBy`+9i zI?!}N5(djJQ9_g#VEg-&BiP9$N*aI$fidU^*?b-Rn@QPMXXFRekA+TC^2D7|w&Ki} z-Csnb(}BcsoML-GYO?Wgv?)8E?~@4gwlWy9g_>*wV~msd$3qL@mqsU8W4@a z<9UOSyvs#DlE?J$N5~H`a{FrAOXU)jpAw|&a>@M&JpwMIRrfu8rd#?>!@?(&W2Osr zr$OVe))>jUsF5*^bA)aIbela5NigLZg7IHPF>M4ZrF>9J0Ku8PLKPP%nWSWe5@G^! zjgoaFeu`vUK3BBe`Ld8-qx$CYG|ott(Ljj6#}ikQYBHA8lO0;TOXW7!f*z+TV)QZ` zLsJrV%9aBm7C{ySWC6q*_!z7M7S{p@8(IfyXdURQdqV3V=wUQ_Y_SgD!(r<{6R;BQ z?5OFU?rC5;XMyx!81UsJ2<;aj5Mc=*{XktBh819tiXf7^6j%Z=wgd)h5wMsDECH|; z(FV438*`*UND0i+?nUb3p-3dXDBA&3uq9N{0j6V$9isQX@u9-*kLN_+{W!m2XY&nU zUaIIn7xdWG=rORZ$8O9vh*nl&#GY-fd%@~pU5S0)0yBkp-(Nk!_P|Z@WRl(*Ix9^l zH*XiSxfKs7dxRJ)ICSHXGwbanUD zz&m3G?2>hM_;U#aM;_}(#!Wv#LMuaV3m-l&rYNQ(;#XVtO;WYKZ}#9c9b#~PLGgii z5IzWUk^$=aG(%1fVH60D=RJx%J6V`q!8raJRW#{nH;Pz~Th6fX{B0E3i$|(JXvaJo zaE&2b7F<859XO~Tk}HN?PSL>Sw5A5GrsnG#met*lRr%K&E2BlpVI;qc-w$cd-k)%a zO>fiJ(c9ND_kQfMx8cdJKLWJQ;A2Wzfy}eYCUr6o>k3 zJdwXnQ?P+Wj*!gUN?^&b^7go^X;w11-SHE}?7d8O&dxZG`}oS?Hd&X)&4%ag&K4IX z2`gdIU6mn=_e1w7(l z9S}Z3UDP~dmYl%aG`nkoIbXr#teW!Cvu1_!|65ecdg#ZLBmKpXg{;xn=2qk`s@?{! zj?hAJGVI;{9=bS$cx0iIHQtM#_CCb*-=*myZn=`r`E8Z#Dx*$$W?_qhNrz2@#~}DE zWU6Cy)a<3*O<{Bj+|eadhuM-nKwSj+h}BaI5CHX5gMMZ=bkxdk7+A=nl`+>_pBbb88br z(+I)FrEvj$J&ee(NjPc(zdb!T}LHS!-|(BodFt0ooV z0`Sh(`zS&$`Z0PD=LeF2qXS6>L1VBUiJQ>131}_Vf@Hfubx`t{uG&3_V;)Dy^{T*4 z)1Cc5JV*nN5e97r&v}{WgtEA0u2)*-dfrntcrtD%O9$qV(l2dP{}~@xa4l5VGm3VW zxDp>RA%bHL!woQR!hTuCMQ*;7D=Z5eH_i z&4yLCPmb4-j*)F!Pk1EZ)5Q&oW70M37>^$d6d|k!S68^!g(KKa^9DX41qY5V+>xL+ ztQ&fr6$|?VSGM7mh3?Fh&_oy{e+r4O<=x;Obg$sf)x6?;~#!M>I=`*rdHXX2eaaGgv)7^30E``0C;h#V`#^p08!yZN%7Ya}S zqc9MtloV~GXW$xwN-5Ef8__6MMJ4#;sBOc*ih|x+#;{mQe4{yX4meu%lE}jubr+iycC%Z+_npC9bN=u2Qb$ok}^R~?5=fI&$~&l zb4~q_pfTvSt*Z+uf`!<_`F76l<$MRj2p$(zL9cfCyBM*rrI$&yfziV~I^-Xs$NuJ6 zK|MO^J;1>CgAI4C{)MX4x>Tk59C{CVop|>FudCk6?b_%T2Z?rX;UW)k==xGu30@$2 zuHe$g?Fm-=Aq0&$w5UB&r698mdpsQO9b87J3731q_M>jEIObvYUS$pHI$)rO zJ&%hKF2nZckqAcNkvqcj32~CkyqUCbdk*P@7e#vBiy?hw9r=&?3EHI_*qg?C`wgs}@a+QO8}IQLzqxx` z{iF!$`?l3z6qmUFPOS9uQ)|59_2JD^-p*&P1?P{ov}5F}9Q5$oNAMV_O7n!o*Tv62 zh|a3wrg-~)d#zu5gN@tIiFfa(YP;O$+&*CmWlgUQcmvRWRGifh+`fgKUR-qY?*161 z{*s1tmp8C5AZ|a@YP(CFTl)NYvyb@vL$$WsOJJTKdAm1|^OBp;CcS=dcV^Jrg>;X% zdtonpeKB!K+k}O;tRZsOt6a(!nzb*$0N--jP@^X-Q6}w{x}F94k5q& zL>iD6+1emxpJ7<%g10A>>V#{09bU?71AO*C_U!fcK=$<1_PP7rA#b0sSphOV^N}W( zyuBL-Jd>#6k+$?j_n>>o+e>y#Z7*h?b=#-}>;X>mPUq@1V!nCitDh(19KGIfy zE2P6t%#mjbZ6D?sfiAue zYZ~^3NmIu=PIyNE^?jl;%eurPeQ5wVanKv?hxDkWy>#na7Y&SfH5lQgnI3b8{=j$;nT-lpEQ8jMVt;pAPLDZYfNu%KI||p=%0t45F>ePTcg#H~?uk`6 zu#Rn<5YKP;I z0p6bQMmJt$r{pX!{bcQwcZya}d)^!JPS$<%D8Jyw-Iq3A#_x>xLfxZXJK!AL4LciLa6|#krs2TpV=|C@0o`)u^3z&jvCXw6qiJ zd9n7A_k#B#-XFaAJ>;EPc*Q#_ zz6P9oNc{iV=UzW^?Eh!IvzY1Ua8_rUX9Zk13tYJHD6)Df#H{XTV^$LfZkd7w;xy;o z=TDxr;>(UL$tPvSD+uyjDNDhZ-BVUHFkq`)h)CezB*a;b(G|Cqf<+;137_SnU8=?| za>=yXCzoN}%6yfhN3Bi-TV+DqBZF{&W@H8;BdYyDATI7zXY+Gop-Y3JGpc*H#%cu6 zs2lXoL^V;5*PE!O%x2)!M0IfMz%aOqEHv0kkM;Dpxqa@&=&)0D@XGb;*RJykke|Ko zY2oOdBk~turf}4q)eaywgNyx+AmkPo$Q(5)$-wb@E9jF6V~p!fb7;ZeU%X=N2`3M{ zI55UT$5k-JCwtM$+PAe2qINPi!Wj@a5%daY>%9Q~P7upXPPFQdX9PJTb{El(+}zdL zOtpSn7=HZp=&+$Wbm`g~Z(O-_GjsF$Cx5-wu@RQ0NKv3_5PYVYm5X zr^fQ$1be{M$m9`3u)1cRg3ZYtLA;?6?>gXD>MtcaR-V zw@9#g5J60Gp&Fw*S@zXLz?IvjM#6A6qY$)76OWvXPlhO&!7hWzjV|}G-@PWcvu}YB%51Aa1X^FH+^UvR*f5M z0*)j%s{8{={v{><3W*hyxK;vdM6^YcU;q!pM zEQNpVNxxRz%dy>!aNh01I3E0Q7oQL9@=e=u;KknJtA=NUFIE}8;*ht-nnuwV4zy)>*f`z-T6EHjAo`+> zeA(plhDLC-7IRZ>J1jDcKyBQMJCjSNxh8@+5?+F1JYHWqU2TJw1J8vQr$EUybrbUY zma=pjXC7J2)K{`}8lj)$dy7t2Bg^jW$jf}I20%xFt!3%3OO)d<(p_}9z|LzwD!}*P z660&Q0$@NPg<0VQXG$)~;0lI)qU>^K=Q{bETAZkBRD2IfI@xmeomBg8kRXm>W+Awz z|7|K7D&VsLKQX6RMbdKnAIV@iQ^@S*B)J&rnfRpB3lR}BAj zIYVAn<1c?Ko`e%yJ(seD!VHjk@~x}yAhM1^pEXH$YgRA5j^U;ZaTrJmZdADupD`pT zrV~-_ckSwPOi1oLT^}GG56)uH&hTS3T|LX<57G6N{OC66-H4gQ-D|-8`LmheYZcOC zLRkd7JQlD+svKvY*D6XI-b)r_CSR%DkXlXV-EX~8E9gQavse&U_j%KZkST|G3EYy zWD@Xku4@aVA8YFdZqvxtMTi_|7k*Ciipl5Km37=PxyHIK^fhfUB2TU>@IOX`;YMjJ zTcMGbe01Fa-;8|}BV9B2vSU5cudM4BJA<+43#-q7cSk2r=lwX%5?XCK=1sz@3fjgT zZ5&e3I(Nz=yQ2PvHhP1nIJ2T1TtmmTO$TxLB{khSeN+B1HW=cXut{}M zl?aMzxe&+QJkdU=;~*ZsI)_+8g1z5`kYGlfy2{lO-9=2DZ-xJiD3}&;T&cdejd!nP z5pG!541=j!0wBoY&k@YkzFU)5Z#MBJ*uFVj?W~g$WETPsCnQ}#PlX`+(^qi)Ll<|! zJutH`Vq_HlbdLoV-yP!mrvQ4!#o~WNqlG9&eCHzn4votofl%YUMzGge$M0!uxuL+w zKcPuGIL0x62AaY!$e>(aBy|U1q+7}0(~#cGGxq*{0+oqAn$`z~W@tT{p$>zgrSKe7 zPjNhPQq%stI`oqPSv|Bx&ul1|+jJ?ciuU~!$`Ga9ApN5s8IB-`*MriZLJxd>;bdkJ z#2uo@v#zEY7yefr7y6ZI|JE%uKg+2`j*{`h*Ll_MKuM+$m5`xUH5eb!QI>5SThQ9) z#?8s=H_@I5IUcxI*R9Fx(^scotur@Mn%EIEY(&u41Nof>vpTUYQb9gKXTa!fJP^;2 zsT#bt%T%k$DXN9hiSXBIUvs6GuT5XUN0P7*Z7kK4OR z*^bWyShcm1^o=KlqDz;<$6Hhvy0P=44u9z?KS!%_C?O6Z|CEw-O1?%3GZE$=%T)Yz zN=QdXTx+2`!vP?217%D%zwG7_h+iy2YoJIKD-M+hY8ZkoYADK|rsQWR*-6O~B_K1! zN;F~sEyID9WZ_c=vIYIlw`|FA4CT@l(&y6WtT^`0{tfv%G?YCMncVE06(fCxG6@bx z;cTkz;|Lm9%MP3!oFz90zL_SKoLw4LJLl_=4vSm-8E{(QyO~V*MS>ND*oF(k3WIQ+ z&_S_6tLM+6eASlUrH%e$O8yBYzfZ|OMPhZadDvpfS=~?Baq?eN_y0iMQ?05QW4jeZ zm$wXJrwXY)88*u9)8Gd*SerqdYJdzMQaKi?C_%J{R$c@kg3nnH9bXdFoh9sF4r*ASC6AocGzA3>suHUDL^t*O0 zxGz>0DEY6H{2?VIhv^%+ ze5sR|@1G!vs{Lx8)}?jfni(;}c%~5P(t-ajzHFxOgrwH5X^=t3)hHwn{fzfJ&d$NTwhSW%o;&;__@>S3A##z_+I02KdsDlvffHQ#SwE{fmo z!+QELmahGiYV@yqqH(OK1M{aetOc;{Lgd*XdJbWpAjPb@@tye94psgooj5+Cpfk^8 zpw}?}XP(~5|Mw7fuyoV(LqccCH<#T9tivFbGAX z(WcxiC3BRp*vM0kCD~IG5^oKp($67>*KoYswjIQSkgv1UmwEHwrW{!sEwlaxjgJO_ zJv{!~)V_7sn15UCKcr3%Y3P_A%Vb13m&sW8esp%3zCXnWqNL8s0up$2Z23Q^^xrA@ z3KFZ0xDJ2j4+oD<)dnRIYJ>Uh&KL4C;RkT|M3CGlyq-99N>Gxdq>Yjk5-WlaZYrxR zKCEa3U#4Z9AWm|TTEXe(%cI1z1KH1hniTxZqYWWJGM&DhD^{SQ$>TIJOY;+yJ3|Sb zTOh|vlq*xRNePQO7Juv!_zu+(eg#qT1C(nf%xdE2V65UR+w&?Ko!5{+eN7OW2mdLc wZ3^fd)WEBw0nznjB-NuOK*G_~NJlhzI60JzB$LVg$=>C5pGAl)bb7hIHK761SM literal 0 HcmV?d00001 diff --git a/app/__pycache__/normalize.cpython-310.pyc b/app/__pycache__/normalize.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7bd68f0ca09d3faf3afa97647a878a64c9b5e50c GIT binary patch literal 951 zcmY*XK~L0B5PtL8Zo4ZOB}Tv)(t`&!vAaa$!G;i*1#a#^5)UYnZr>|byKQ~#5?po@ z4H)5H>>l|`?`Ayl7dSby5QIr)-ka&n^qX&9HalBmD5F1zvBeqtOU`XE(RqVf_-F(Z zkgy#l*%$<$zz!FNG=wRQ$P|{SoR~Z2b;QDmEgXzg1Z=Z<^#bczXR!3?!;1I1=UP~2nV58kBtq?oWL17WeB%67}i{rPNsT6 z5)TG}`?l3~Q<=CCh04rrwfyyUzuopXHvG*^e{0KK?&rBwVNl3=V_Mw`Ls^!A8>e}{ zbjvu;+#v9}T`vqhAv`I)C~_&*?S`QcQby5LVMj9!-X-`KGdSrT9&ky_LVbx^xM+Uj z?7R0yaLR@-1i|LnFTTj$GhpBNlzM(aHJx)-=bATGG{onip{J@Cy=*o`PzKFHs)IO` z&2A#SAoh|hq^YH926^60uSt-N{JXBM?#omj=4$Oe))(|X_>UzvaBs5qaD|Q4X^Ud5 zag(lSgUUfux3y7}N?T~+Tw7Dxw5?>G1fkSMB2#UC$>LO7DoFR`IVhT73Rn>#ihiwU z@BEQCDd?kPnXmwlzy%Z30tW8TM<6J*jatm1DOm|)UK;d(CU8t|6*_fOo82r+w7rLG z-+Q;IE!=tddD>6SW7!oLqVNh#B`#?0ht!t9&VhQ02ad{>)OMKl@;H&|2^BmbL&(%3 d8OpoW?tf2bwU>#0BG(9XLCiU<#^?CsnSXTq+qD1y literal 0 HcmV?d00001 diff --git a/app/__pycache__/settings.cpython-310.pyc b/app/__pycache__/settings.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ab7ce9241c35d7586b8991dc5e97dd992a343bf1 GIT binary patch literal 1222 zcmZ8h&5qkP5ay7SEo5QAL zgT@mS{XHr{1e7FoJuP8DQwlqbrA#o%1((5$i$HWf^0XtmG7uq(Lp!1;B1F61qGC_P zXoUhMBMTmhiC!br~$p?C2o|5XvgAMN!QYW_jJn z%JTQwqD*@_o5^WeXCk4B;lUPWzZ2zZ_xE5ZGLsFpR2M}qhv%g{%8H}1&a<+(lxmnY z4LXg%UG<=OZ==Ahzw;uB&iY0+@ z5?C&Z+}NNna-nTh=%Uglt8!`CTpAk*DVym+s<})8)yIg`EmW4(OJm`Ug$rMro!WEm zPf+zxv`aCD1GtY8Q4ZddBlurK8j>!G&-Mcj3})vpc}rIW^Kn^YHi$975yL#x=Z3X( z4I92CI7S5LFcY-UvNc^n3!9Dz3bIAQwjhE-f_BI6(G}qqcfNu5JRXU?YaDA5kJG)A z7vrbTzMejP_Iz}C*WYShSF>V1+;sy_lz1{a`EGPJ@zX4^f#b49+9O4f1ZjMFe0Dq; zolRdJpM7(AxTDStsUcOPipmU{Oub!ViGxKgWSK_azBnB{-_1T4dQ9)S!Rz|GEY6dz zrM0#lycStqcm^rQ9ovz=6xwKCUmM}sLe8>fX%c*P`D{M*k1V_#&j}0GT>dR6-c7FrUq0k??Pe0}Ry?+7R>mYsr literal 0 HcmV?d00001 diff --git a/app/__pycache__/tls.cpython-310.pyc b/app/__pycache__/tls.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ef48a44e0711b4855d3cee2eddacfa63d4409c3e GIT binary patch literal 377 zcmYjNu};G<5ValChN4QS0}}i}hLV95AtWZ24s@v0rE=l}xiWUJ9Vm#Ak6?t6U-H1h z#J~@*z&TW?Pr7&a?oRJ4+u?9P5MS>r^^Ex=iA`iEPBHuek|dI9GAEJ&y<{?z{E5$* zq*GFCed3%xm0x$#i94ldxP1s`UAO9gcdFTD}h$Mjv4QUpl?ZDUzvF0~`Ctkqqo YJGeo48t2E?R<;^W(l>aHl#>zr1&+>Ia{vGU literal 0 HcmV?d00001 diff --git a/app/api_client.py b/app/api_client.py new file mode 100644 index 0000000..18b2f98 --- /dev/null +++ b/app/api_client.py @@ -0,0 +1,13 @@ +import requests +from .auth import TokenManager + +def get_json(url: str, tm: TokenManager) -> object: + token = tm.get_token() + r = requests.get( + url, + headers={"accept": "application/json", "Authorization": f"Bearer {token}"}, + timeout=10, + verify=tm.verify_tls, + ) + r.raise_for_status() + return r.json() diff --git a/app/auth.py b/app/auth.py new file mode 100644 index 0000000..273cba5 --- /dev/null +++ b/app/auth.py @@ -0,0 +1,49 @@ +import time +import requests + +class TokenManager: + def __init__(self, token_url: str, client_id: str, client_secret: str, + username: str, password: str, audience: str | None = None, + verify_tls: bool = True, timeout_s: float = 10.0): + self.token_url = token_url + self.client_id = client_id + self.client_secret = client_secret + self.username = username + self.password = password + self.audience = audience + self.verify_tls = verify_tls + self.timeout_s = float(timeout_s) + + self._token: str | None = None + self._exp: int = 0 # epoch seconds + + def get_token(self) -> str: + now = int(time.time()) + if self._token and now < (self._exp - 30): + return self._token + + data = { + "grant_type": "password", + "client_id": self.client_id, + "client_secret": self.client_secret, + "username": self.username, + "password": self.password, + } + if self.audience: + data["audience"] = self.audience + + r = requests.post( + self.token_url, + data=data, + headers={"Content-Type": "application/x-www-form-urlencoded"}, + timeout=self.timeout_s, + verify=self.verify_tls, + ) + r.raise_for_status() + payload = r.json() + + token = payload["access_token"] + expires_in = int(payload.get("expires_in", 60)) + self._token = token + self._exp = now + expires_in + return token \ No newline at end of file diff --git a/app/beacons.py b/app/beacons.py new file mode 100644 index 0000000..2c21989 --- /dev/null +++ b/app/beacons.py @@ -0,0 +1,51 @@ +from typing import Tuple, Dict, Any, Set, Iterable, List +from .normalize import normalize_mac, is_mac + +DEFAULT_MAC_FIELDS: tuple[str, ...] = ( + "mac", + "beacon_mac", + "beaconMac", + "device_mac", + "deviceMac", + "tag_mac", + "tagMac", +) + +def _first_present(item: dict, keys: Iterable[str]) -> str: + for k in keys: + if k in item and item.get(k): + return str(item.get(k)) + return "" + +def extract_beacon_macs(data: object, mac_fields: tuple[str, ...] = DEFAULT_MAC_FIELDS + ) -> Tuple[Set[str], Dict[str, Any], List[str]]: + allowed: Set[str] = set() + by_mac: Dict[str, Any] = {} + invalid: List[str] = [] + + items = None + if isinstance(data, list): + items = data + elif isinstance(data, dict): + for key in ("items", "beacons", "trackers", "data", "result"): + v = data.get(key) + if isinstance(v, list): + items = v + break + + if not items: + return allowed, by_mac, invalid + + for item in items: + if not isinstance(item, dict): + continue + raw = _first_present(item, mac_fields) + mac = normalize_mac(raw) + if mac and is_mac(mac): + allowed.add(mac) + by_mac[mac] = item + else: + if raw: + invalid.append(str(raw)) + + return allowed, by_mac, invalid diff --git a/app/csv_config.py b/app/csv_config.py new file mode 100644 index 0000000..cf840e6 --- /dev/null +++ b/app/csv_config.py @@ -0,0 +1,66 @@ +from __future__ import annotations + +import csv +from dataclasses import dataclass +from pathlib import Path +from typing import List, Optional + +from .normalize import norm_mac + + +@dataclass +class GatewayDef: + mac: str + name: str = "" + id: str = "" + + +def _sniff_delimiter(sample: str) -> str: + # fallback robusto: prova a sniffare, altrimenti ';' + try: + return csv.Sniffer().sniff(sample, delimiters=";,\t").delimiter + except Exception: + return ";" + + +def load_gateway_features_csv(path: str) -> List[GatewayDef]: + """ + Carica gateway.csv. + Attesi header: mac;name;id (name/id opzionali) + Normalizza MAC in formato canonico 'AA:BB:CC:DD:EE:FF' + """ + p = Path(path) + if not p.exists(): + raise FileNotFoundError(f"gateway csv not found: {path}") + + txt = p.read_text(encoding="utf-8", errors="ignore") + delim = _sniff_delimiter(txt[:2048]) + + rows: List[GatewayDef] = [] + with p.open("r", encoding="utf-8", errors="ignore", newline="") as f: + rd = csv.DictReader(f, delimiter=delim) + for r in rd: + # accetta anche varianti tipo 'MAC' o 'gw_mac' + mac_raw = r.get("mac") or r.get("MAC") or r.get("gw_mac") or r.get("gateway_mac") + if not mac_raw: + continue + mac = norm_mac(mac_raw) + if not mac: + continue + + name = (r.get("name") or r.get("NAME") or "").strip() + gid = (r.get("id") or r.get("ID") or "").strip() + rows.append(GatewayDef(mac=mac, name=name, id=gid)) + + return rows + + +# --------------------------------------------------------------------------- +# BACKWARD COMPATIBILITY +# main.py si aspetta load_gateway_csv() -> List[GatewayDef] +# --------------------------------------------------------------------------- +def load_gateway_csv(path: str) -> List[GatewayDef]: + """ + Alias compatibile per vecchie versioni. + """ + return load_gateway_features_csv(path) diff --git a/app/debug_dump.py b/app/debug_dump.py new file mode 100644 index 0000000..d68c713 --- /dev/null +++ b/app/debug_dump.py @@ -0,0 +1,10 @@ +import json + +def dump_json(label: str, data: object, max_chars: int = 8000) -> None: + """ + Stampa JSON in modo controllato (troncato). + """ + s = json.dumps(data, ensure_ascii=False, sort_keys=True) + if len(s) > max_chars: + s = s[:max_chars] + f"... [truncated {len(s)-max_chars} chars]" + print(f"{label}: {s}", flush=True) diff --git a/app/fingerprint.py b/app/fingerprint.py new file mode 100644 index 0000000..470fa72 --- /dev/null +++ b/app/fingerprint.py @@ -0,0 +1,127 @@ +"""fingerprint.py + +Raccolta RSSI durante una finestra temporale e aggregazione in feature-vector. + +Scelte chiave: +- Matching interno su MAC in formato **compact** (12 hex senza ':'). +- Header CSV dei gateway mantenuto nel formato originale (spesso con ':'). + +Filtri/robustezza (per-gateway): +- range rssi_min/rssi_max +- outlier_method: none | mad | iqr +- min_samples_per_gateway +- max_stddev (opzionale) +- aggregate: mean | median +""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import Dict, List, Optional, Tuple + +import math +import statistics + + +def _mad_filter(values: List[float], z: float = 3.5) -> List[float]: + if len(values) < 3: + return values + med = statistics.median(values) + dev = [abs(v - med) for v in values] + mad = statistics.median(dev) + if mad == 0: + return values + kept: List[float] = [] + for v in values: + mz = 0.6745 * (v - med) / mad # modified z-score + if abs(mz) <= z: + kept.append(v) + return kept if kept else values + + +def _iqr_filter(values: List[float], k: float = 1.5) -> List[float]: + if len(values) < 4: + return values + vs = sorted(values) + q1 = vs[len(vs) // 4] + q3 = vs[(len(vs) * 3) // 4] + iqr = q3 - q1 + low = q1 - k * iqr + high = q3 + k * iqr + kept = [v for v in values if low <= v <= high] + return kept if kept else values + + +@dataclass +class FingerprintWindow: + beacon_keys: List[str] # compact + gateway_headers: List[str] # come in gateway.csv (spesso colon) + gateway_keys: List[str] # compact (allineato a gateway_headers) + + rssi_min: float = -110.0 + rssi_max: float = -25.0 + outlier_method: str = "none" # none | mad | iqr + mad_z: float = 3.5 + min_samples_per_gateway: int = 1 + max_stddev: Optional[float] = None + + values: Dict[str, Dict[str, List[float]]] = field(default_factory=dict) + + def __post_init__(self) -> None: + self.beacon_set = set(self.beacon_keys) + self.gw_set = set(self.gateway_keys) + for b in self.beacon_keys: + self.values[b] = {gk: [] for gk in self.gateway_keys} + + def add(self, gw_key: str, beacon_key: str, rssi: float) -> bool: + if gw_key not in self.gw_set or beacon_key not in self.beacon_set: + return False + try: + r = float(rssi) + except Exception: + return False + if r < self.rssi_min or r > self.rssi_max: + return False + self.values[beacon_key][gw_key].append(r) + return True + + def _aggregate_one(self, xs: List[float], method: str) -> float: + if not xs: + return math.nan + + vals = xs + if self.outlier_method == "mad": + vals = _mad_filter(vals, z=self.mad_z) + elif self.outlier_method == "iqr": + vals = _iqr_filter(vals, k=1.5) + + if len(vals) < max(1, int(self.min_samples_per_gateway)): + return math.nan + + if self.max_stddev is not None and len(vals) >= 2: + mean = sum(vals) / len(vals) + var = sum((v - mean) ** 2 for v in vals) / (len(vals) - 1) + sd = math.sqrt(var) + if sd > float(self.max_stddev): + return math.nan + + if method == "mean": + return sum(vals) / len(vals) + return float(statistics.median(vals)) + + def features_for(self, beacon_key: str, aggregate: str = "median") -> Dict[str, float]: + out: Dict[str, float] = {} + for gk, hdr in zip(self.gateway_keys, self.gateway_headers): + out[hdr] = self._aggregate_one(self.values[beacon_key][gk], aggregate) + return out + + def top_gateways(self, beacon_key: str, aggregate: str = "median", top_n: int = 5) -> List[Tuple[int, str, float]]: + rows: List[Tuple[int, str, float]] = [] + for gk, hdr in zip(self.gateway_keys, self.gateway_headers): + n = len(self.values[beacon_key][gk]) + if n <= 0: + continue + agg = self._aggregate_one(self.values[beacon_key][gk], aggregate) + rows.append((n, hdr, agg)) + rows.sort(key=lambda t: t[0], reverse=True) + return rows[:top_n] diff --git a/app/gateways.py b/app/gateways.py new file mode 100644 index 0000000..71e7269 --- /dev/null +++ b/app/gateways.py @@ -0,0 +1,30 @@ +from typing import Tuple, Dict, Any, Set, List +from .normalize import normalize_mac, is_mac + +def extract_gateway_macs(data: object) -> Tuple[Set[str], Dict[str, Any], List[str]]: + """ + ritorna: + - allowed MAC (validi) + - mapping mac->record + - lista raw MAC invalidi (normalizzati quando possibile) + """ + allowed: Set[str] = set() + by_mac: Dict[str, Any] = {} + invalid: List[str] = [] + + if not isinstance(data, list): + return allowed, by_mac, invalid + + for item in data: + if not isinstance(item, dict): + continue + raw = item.get("mac", "") + mac = normalize_mac(raw) + if mac and is_mac(mac): + allowed.add(mac) + by_mac[mac] = item + else: + if raw: + invalid.append(str(raw)) + + return allowed, by_mac, invalid diff --git a/app/infer_mode.py b/app/infer_mode.py new file mode 100644 index 0000000..f648e17 --- /dev/null +++ b/app/infer_mode.py @@ -0,0 +1,202 @@ +# -*- coding: utf-8 -*- +import json +import os +import time +import joblib +import numpy as np +import requests +import yaml +import paho.mqtt.client as mqtt +from dataclasses import dataclass +from pathlib import Path +from typing import Any, Callable, Dict, List, Optional, Tuple +from .logger_utils import log_msg as log + +# Importiamo la funzione per caricare i gateway per mantenere l'ordine delle feature +from .csv_config import load_gateway_features_csv + +BUILD_TAG = "infer-debug-v19-hierarchical-final" + +# ------------------------- +# UTILITIES +# ------------------------- + +def _norm_mac(s: str) -> str: + s = (s or "").strip().replace("-", "").replace(":", "").replace(".", "").upper() + if len(s) != 12: return s + return ":".join([s[i:i+2] for i in range(0, 12, 2)]) + +def _predict_xyz(model_pkg: Dict[str, Any], X: np.ndarray) -> Tuple[int, float, float]: + """ + Logica di predizione basata su train_mode.py: + 1. Predice Z (piano) tramite KNeighborsClassifier + 2. Predice X, Y tramite KNeighborsRegressor specifico per quel piano + """ + # 1. Predizione del Piano (Z) + floor_clf = model_pkg.get("floor_clf") + if floor_clf is None: + raise ValueError("Il pacchetto modello non contiene 'floor_clf'") + + z_pred = floor_clf.predict(X) + z = int(z_pred[0]) + + # 2. Predizione X, Y (Coordinate) + xy_models = model_pkg.get("xy_by_floor", {}) + regressor = xy_models.get(z) + + if regressor is None: + # Se il piano predetto non ha un regressore XY, restituiamo solo il piano + return z, -1.0, -1.0 + + xy_pred = regressor.predict(X) + x, y = xy_pred[0] # L'output del regressore multi-output è [x, y] + + return z, float(x), float(y) + +@dataclass +class _Point: + t: float + v: float + +class RollingRSSI: + def __init__(self, window_s: float): + self.window_s = window_s + self.data: Dict[str, Dict[str, List[_Point]]] = {} + + def add(self, bm: str, gm: str, rssi: float): + self.data.setdefault(bm, {}).setdefault(gm, []).append(_Point(time.time(), rssi)) + + def prune(self): + cutoff = time.time() - self.window_s + for bm in list(self.data.keys()): + for gm in list(self.data[bm].keys()): + self.data[bm][gm] = [p for p in self.data[bm][gm] if p.t >= cutoff] + if not self.data[bm][gm]: self.data[bm].pop(gm) + if not self.data[bm]: self.data.pop(bm) + + def aggregate_features(self, bm: str, gws: List[str], agg: str, fill: float): + per_gw = self.data.get(bm, {}) + feats = [] + found_count = 0 + for gm in gws: + vals = [p.v for p in per_gw.get(gm, [])] + if vals: + val = np.median(vals) if agg == "median" else np.mean(vals) + feats.append(val) + found_count += 1 + else: + feats.append(np.nan) + X = np.array(feats).reshape(1, -1) + # Sostituisce i NaN con il valore di riempimento definito nel training + return np.where(np.isnan(X), fill, X), found_count + +# ------------------------- +# MAIN RUNNER +# ------------------------- + +def run_infer(settings: Dict[str, Any]): + inf_c = settings.get("infer", {}) + api_c = settings.get("api", {}) + mqtt_c = settings.get("mqtt", {}) + + log(f"INFER_MODE build tag={BUILD_TAG}") + + # Caricamento Modello e Configurazione Training + try: + model_pkg = joblib.load(inf_c.get("model_path", "/data/model/model.joblib")) + # Recuperiamo l'ordine dei gateway e il nan_fill direttamente dal modello salvato + gateways_ordered = model_pkg.get("gateways_order") + nan_fill = float(model_pkg.get("nan_fill", -110.0)) + log(f"Model loaded. Features: {len(gateways_ordered)}, Fill: {nan_fill}") + except Exception as e: + log(f"CRITICAL: Failed to load model: {e}") + return + + gateways_set = set(gateways_ordered) + rolling = RollingRSSI(float(inf_c.get("window_seconds", 5.0))) + + # --- Gestione Token e Beacons (identica a prima) --- + token_cache = {"token": None, "expires_at": 0} + def get_token(): + if time.time() < token_cache["expires_at"]: return token_cache["token"] + try: + # Recupero credenziali da secrets.yaml + with open("/config/secrets.yaml", "r") as f: + sec = yaml.safe_load(f).get("oidc", {}) + payload = { + "grant_type": "password", "client_id": api_c.get("client_id", "Fastapi"), + "client_secret": sec.get("client_secret", ""), + "username": sec.get("username", "core"), "password": sec.get("password", "") + } + resp = requests.post(api_c["token_url"], data=payload, verify=False, timeout=10) + if resp.status_code == 200: + d = resp.json() + token_cache["token"] = d["access_token"] + token_cache["expires_at"] = time.time() + d.get("expires_in", 300) - 30 + return token_cache["token"] + except: pass + return None + + def fetch_beacons(): + token = get_token() + if not token: return [] + try: + headers = {"Authorization": f"Bearer {token}", "accept": "application/json"} + resp = requests.get(api_c["get_beacons_url"], headers=headers, verify=False, timeout=10) + return [it["mac"] for it in resp.json() if "mac" in it] if resp.status_code == 200 else [] + except: return [] + + def on_message(client, userdata, msg): + gw = _norm_mac(msg.topic.split("/")[-1]) + if gw not in gateways_set: return + try: + items = json.loads(msg.payload.decode()) + for it in items: + bm, rssi = _norm_mac(it.get("mac")), it.get("rssi") + if bm and rssi is not None: rolling.add(bm, gw, float(rssi)) + except: pass + + mqtt_client = mqtt.Client() + mqtt_client.on_message = on_message + mqtt_client.connect(mqtt_c["host"], mqtt_c["port"]) + mqtt_client.subscribe(mqtt_c["topic"]) + mqtt_client.loop_start() + + last_predict, last_api_refresh = 0.0, 0.0 + beacons = [] + + while True: + now = time.time() + rolling.prune() + + if now - last_api_refresh >= float(api_c.get("refresh_seconds", 30)): + beacons = fetch_beacons() + last_api_refresh = now + + if now - last_predict >= float(inf_c.get("refresh_seconds", 10.0)): + rows, count_ok = [], 0 + for bm in beacons: + bm_n = _norm_mac(bm) + X, n_found = rolling.aggregate_features(bm_n, gateways_ordered, inf_c.get("aggregate", "median"), nan_fill) + + z, x, y = -1, -1.0, -1.0 + if n_found >= int(inf_c.get("min_non_nan", 1)): + try: + z, x, y = _predict_xyz(model_pkg, X) + if z != -1: count_ok += 1 + except Exception as e: + log(f"Infer error {bm_n}: {e}") + + rows.append(f"{bm_n};{int(z)};{int(round(x))};{int(round(y))}") + + try: + out_p = Path(inf_c.get("output_csv", "/data/infer/infer.csv")) + with open(str(out_p) + ".tmp", "w") as f: + f.write("mac;z;x;y\n") + for r in rows: f.write(r + "\n") + os.replace(str(out_p) + ".tmp", out_p) + log(f"CYCLE: {count_ok}/{len(rows)} localized") + except Exception as e: log(f"File Error: {e}") + + last_predict = now + time.sleep(0.5) diff --git a/app/leaflet_bridge.js b/app/leaflet_bridge.js new file mode 100644 index 0000000..ee257b6 --- /dev/null +++ b/app/leaflet_bridge.js @@ -0,0 +1,58 @@ +// leaflet_bridge.js +function initMap(config) { + const { imgUrl, width, height, meta, grid_size, dots } = config; + + // Setup Coordinate XY (0,0 in alto a sinistra) + const map = L.map('map', { + crs: L.CRS.Simple, + minZoom: -2, + maxZoom: 4, + attributionControl: false + }); + + const bounds = [[-height, 0], [0, width]]; + L.imageOverlay(imgUrl, bounds).addTo(map); + map.fitBounds(bounds); + + // Gestione Griglia + let gridLayer = L.layerGroup(); + if (meta.show_grid) { + const step = meta.grid_size || 100; + const S = meta.pixel_ratio || 1; + for (let x = 0; x <= width; x += (step * S)) { + L.polyline([[0, x], [-height, x]], {color: '#ccc', weight: 1, opacity: 0.5}).addTo(gridLayer); + } + for (let y = 0; y >= -height; y -= (step * S)) { + L.polyline([[y, 0], [y, width]], {color: '#ccc', weight: 1, opacity: 0.5}).addTo(gridLayer); + } + gridLayer.addTo(map); + } + + // Visualizzazione punti esistenti (Verdi e Blu) + dots.forEach(dot => { + const color = dot.status === 'completed' ? '#228B22' : '#0000FF'; + L.circleMarker([dot.y, dot.x], { + radius: config.dot_size / 5, + fillColor: color, + color: 'white', + weight: 2, + fillOpacity: 0.8 + }).addTo(map).bindPopup(`X: ${dot.relX}, Y: ${dot.relY}`); + }); + + // Evento Click per rilievo + map.on('click', function(e) { + const raw_x = e.latlng.lng; + const raw_y = e.latlng.lat; // In Leaflet Simple, Y è negativa sotto l'origine + + // Invio dati a Streamlit + window.parent.postMessage({ + type: 'streamlit:setComponentValue', + value: { + x: raw_x, + y: raw_y, + timestamp: new Date().getTime() + } + }, '*'); + }); +} diff --git a/app/logger_utils.py b/app/logger_utils.py new file mode 100644 index 0000000..d70cbd3 --- /dev/null +++ b/app/logger_utils.py @@ -0,0 +1,36 @@ +import urllib3 +import pytz +import logging +import warnings +import os +from datetime import datetime +from typing import Any, Dict + +# --- SILENZIAMENTO IMMEDIATO --- +# Questo agisce prima ancora che 'requests' possa generare warning +urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) +warnings.filterwarnings("ignore", category=urllib3.exceptions.InsecureRequestWarning) +logging.getLogger("urllib3").setLevel(logging.ERROR) +# Silenzia anche i warning di sklearn/numpy se necessario +os.environ["PYTHONWARNINGS"] = "ignore:Unverified HTTPS request" + +# Variabile globale per la Timezone +_current_tz = pytz.UTC + +def setup_global_logging(settings: Dict[str, Any]): + """Configura la Timezone in base al config.yaml.""" + global _current_tz + debug_cfg = settings.get("debug", {}) + tz_name = debug_cfg.get("timezone", "Europe/Rome") + try: + _current_tz = pytz.timezone(tz_name) + except Exception: + _current_tz = pytz.UTC + +def get_timestamp() -> str: + """Restituisce il timestamp formattato con la TZ corretta.""" + return datetime.now(_current_tz).strftime('%Y-%m-%dT%H:%M:%S.000Z') + +def log_msg(msg: str): + """Funzione di log standardizzata.""" + print(f"{get_timestamp()} {msg}", flush=True) diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000..4605319 --- /dev/null +++ b/app/main.py @@ -0,0 +1,817 @@ +from .logger_utils import setup_global_logging, log_msg as log +import csv +import io +import json +import os +import ssl +import time +import traceback +from dataclasses import dataclass +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple +import hashlib +import re +import math +import statistics +import pandas as pd +import numpy as np +import requests +import joblib +import paho.mqtt.client as mqtt + +# Import locali corretti +from .settings import load_settings + +def build_info() -> str: + return "infer-debug-v19-fixed" + +def main() -> None: + # 1. Carica impostazioni + settings = load_settings() + + # 2. Setup immediato dei log e dei silenziatori (PRIMA di ogni altra cosa) + setup_global_logging(settings) + + # 3. Ora puoi loggare e tutto sarà sincronizzato e pulito + cfg_file = settings.get("_config_file", "/config/config.yaml") + keys = [k for k in settings.keys() if not str(k).startswith("_")] + + log(f"Settings loaded from {cfg_file}. Keys: {keys}") + log(f"BUILD: {build_info()}") + +def mac_plain(s: str) -> str: + """Normalizza MAC a 12 hex uppercase senza separatori.""" + return re.sub(r"[^0-9A-Fa-f]", "", (s or "")).upper() + +def mac_colon(s: str) -> str: + """MAC in formato AA:BB:CC:DD:EE:FF.""" + p = mac_plain(s) + if len(p) != 12: + return p + return ":".join(p[i:i+2] for i in range(0, 12, 2)) + +def fmt_rssi(v, decimals: int) -> str: + """Formatta RSSI come stringa, evitando '-82.0' quando decimals=0.""" + if v is None: + return "nan" + try: + fv = float(v) + except Exception: + return "nan" + if math.isnan(fv): + return "nan" + if decimals <= 0: + return str(int(round(fv))) + return f"{round(fv, decimals):.{decimals}f}" + + +# ----------------------------- + +# Build info (printed at startup for traceability) +BUILD_ID = "ble-ai-localizer main.py 2026-01-30 build-floatagg-v1" + +def build_info() -> str: + """Return a short build identifier for logs (no external deps, no git required).""" + try: + p = Path(__file__) + data = p.read_bytes() + sha = hashlib.sha256(data).hexdigest()[:12] + size = p.stat().st_size + return f"{BUILD_ID} sha256={sha} size={size}" + except Exception: + return f"{BUILD_ID} sha256=? size=?" + +# Settings +# ----------------------------- +def load_settings() -> Dict[str, Any]: + cfg = os.environ.get("CONFIG", "/config/config.yaml") + import yaml + with open(cfg, "r", encoding="utf-8") as f: + data = yaml.safe_load(f) or {} + data["_config_file"] = cfg + + # Normalize config sections: prefer collect_train + if "collect_train" not in data and "training" in data: + log("WARNING: config usa 'training:' (alias). Consiglio: rinomina in 'collect_train:'") + data["collect_train"] = data.get("training", {}) or {} + return data + + +# ----------------------------- +# MAC helpers +# ----------------------------- +def norm_mac(mac: str) -> str: + """Return MAC as AA:BB:CC:DD:EE:FF (upper), ignoring separators.""" + m = (mac or "").strip().replace("-", "").replace(":", "").replace(".", "") + m = m.upper() + if len(m) != 12: + return mac.strip().upper() + return ":".join(m[i:i+2] for i in range(0, 12, 2)) + + +# ----------------------------- +# CSV write helpers +# ----------------------------- +def safe_write_csv( + path: Path, + header: List[str], + rows: List[Dict[str, Any]], + delimiter: str = ";", + rssi_decimals: int = 0, +): + """Scrive CSV in modo atomico e formattazione 'umana'. + + - numeri interi: senza decimali (es. -82 invece di -82.0) + - RSSI: arrotondamento controllato da rssi_decimals (0 -> intero, >0 -> N cifre decimali) + *si applica solo alle colonne RSSI (dopo mac/x/y/z)* + - NaN: 'nan' + - colonna 'mac': normalizzata in formato con ':' (es. C3:00:00:57:B9:E7) se passa un MAC valido + """ + tmp = path.with_suffix(path.suffix + ".tmp") + # csv.writer richiede un singolo carattere come delimiter + if not isinstance(delimiter, str) or len(delimiter) != 1: + delimiter = ";" + + try: + rssi_decimals = int(rssi_decimals) + except Exception: + rssi_decimals = 0 + if rssi_decimals < 0: + rssi_decimals = 0 + + def fmt_cell(v: Any, col: str, idx: int) -> str: + if v is None: + return "nan" + + # MAC normalizzato con ':' + if col.lower() == "mac" and isinstance(v, str): + v2 = mac_colon(v) + return v2 + + # NaN float + if isinstance(v, float): + if math.isnan(v): + return "nan" + + # colonne RSSI (dopo mac/x/y/z) + if idx >= 4: + if rssi_decimals == 0: + return str(int(round(v))) + return f"{v:.{rssi_decimals}f}" + + # altre colonne: compatta i (quasi) interi + if abs(v - round(v)) < 1e-9: + return str(int(round(v))) + return str(v) + + # int / numpy int + if isinstance(v, (int, np.integer)): + # RSSI columns (after mac/x/y/z): respect rssi_decimals even for integer values + if idx >= 4: + if rssi_decimals == 0: + return str(int(v)) + return f"{float(v):.{rssi_decimals}f}" + return str(int(v)) + + # numpy float + if isinstance(v, np.floating): + fv = float(v) + if math.isnan(fv): + return "nan" + if idx >= 4: + if rssi_decimals == 0: + return str(int(round(fv))) + return f"{fv:.{rssi_decimals}f}" + if abs(fv - round(fv)) < 1e-9: + return str(int(round(fv))) + return str(fv) + + return str(v) + + with tmp.open("w", newline="") as f: + w = csv.writer(f, delimiter=delimiter) + w.writerow(header) + for row in rows: + w.writerow([fmt_cell(row.get(col), col, idx) for idx, col in enumerate(header)]) + + tmp.replace(path) + + + + +def _coord_token(v: float) -> str: + # Stable token for filenames from coordinates. + # - if integer-ish -> '123' + # - else keep up to 3 decimals, strip trailing zeros, replace '.' with '_' + try: + fv=float(v) + except Exception: + return str(v) + if abs(fv - round(fv)) < 1e-9: + return str(int(round(fv))) + s=f"{fv:.3f}".rstrip('0').rstrip('.') + return s.replace('.', '_') +def read_job_csv(job_path: Path, delimiter: str) -> List[Dict[str, Any]]: + """Legge job CSV supportando due formati: + + 1) Legacy: + mac;x;y;z + C3000057B9F4;1200;450;0 + + 2) Esteso (storico): + Position;Floor;RoomName;X;Y;Z;BeaconName;MAC + A21;1;P1-NETW;800;1050;1;BC-21;C3:00:00:57:B9:E6 + + Estrae solo X,Y,Z,MAC e normalizza MAC in formato compatto (senza ':', uppercase). + """ + text = job_path.read_text(encoding="utf-8", errors="replace") + if not text.strip(): + return [] + + first_line = next((ln for ln in text.splitlines() if ln.strip()), "") + use_delim = delimiter + if use_delim not in first_line: + if ";" in first_line and "," not in first_line: + use_delim = ";" + elif "," in first_line and ";" not in first_line: + use_delim = "," + + def hnorm(h: str) -> str: + h = (h or "").strip().lower() + h = re_sub_non_alnum(h) + return h + + f = io.StringIO(text) + r = csv.reader(f, delimiter=use_delim) + header = next(r, None) + if not header: + return [] + + header_norm = [hnorm(h) for h in header] + idx = {name: i for i, name in enumerate(header_norm) if name} + + def find_idx(names: List[str]) -> Optional[int]: + for n in names: + if n in idx: + return idx[n] + return None + + mac_i = find_idx(["mac", "beaconmac", "beacon_mac", "trackermac", "tracker_mac", "device", "devicemac"]) + x_i = find_idx(["x"]) + y_i = find_idx(["y"]) + z_i = find_idx(["z"]) + + if mac_i is None or x_i is None or y_i is None or z_i is None: + raise ValueError( + f"Job CSV header non riconosciuto: {header}. " + f"Attesi campi MAC/X/Y/Z (case-insensitive)." + ) + + rows: List[Dict[str, Any]] = [] + for cols in r: + if not cols: + continue + if len(cols) <= max(mac_i, x_i, y_i, z_i): + continue + mac_raw = (cols[mac_i] or "").strip() + if not mac_raw: + continue + + mac_compact = norm_mac(mac_raw).replace(":", "") + + try: + x = float((cols[x_i] or "").strip()) + y = float((cols[y_i] or "").strip()) + z = float((cols[z_i] or "").strip()) + except Exception: + continue + + rows.append({"mac": mac_compact, "x": x, "y": y, "z": z}) + + return rows + + +def re_sub_non_alnum(s: str) -> str: + out = [] + for ch in s: + if ("a" <= ch <= "z") or ("0" <= ch <= "9"): + out.append(ch) + return "".join(out) + + +def write_samples_csv( + out_path: Path, + sample_rows: List[Dict[str, Any]], + gateway_macs: List[str], + *, + delimiter: str = ";", + rssi_decimals: int = 0, +) -> None: + header = ["mac", "x", "y", "z"] + gateway_macs + safe_write_csv(out_path, header, sample_rows, delimiter=delimiter, rssi_decimals=rssi_decimals) + +def load_gateway_csv(path: Path, delimiter: str = ";") -> Tuple[List[str], int, int]: + df = pd.read_csv(path, delimiter=delimiter) + cols = [c.strip().lower() for c in df.columns] + df.columns = cols + + invalid = 0 + macs: List[str] = [] + seen = set() + + if "mac" not in df.columns: + raise ValueError(f"gateway.csv must have a 'mac' column, got columns={list(df.columns)}") + + for v in df["mac"].astype(str).tolist(): + nm = norm_mac(v) + if len(nm.replace(":", "")) != 12: + invalid += 1 + continue + if nm in seen: + continue + seen.add(nm) + macs.append(nm) + + duplicates = max(0, len(df) - invalid - len(macs)) + return macs, invalid, duplicates + + +# ----------------------------- +# Fingerprint collector +# ----------------------------- +@dataclass +class FingerprintStats: + counts: Dict[str, Dict[str, int]] + last: Dict[str, Dict[str, float]] + + +class FingerprintCollector: + def __init__(self) -> None: + self._lock = None + try: + import threading + self._lock = threading.Lock() + except Exception: + self._lock = None + + # beacon_norm -> gw_norm -> list of rssi + self.rssi: Dict[str, Dict[str, List[float]]] = {} + self.last_seen_gw: Dict[str, float] = {} + self.last_seen_beacon: Dict[str, float] = {} + + def _with_lock(self): + if self._lock is None: + class Dummy: + def __enter__(self): return None + def __exit__(self, *a): return False + return Dummy() + return self._lock + + def update(self, gw_mac: str, beacon_mac: str, rssi: float) -> None: + gw = norm_mac(gw_mac) + b = norm_mac(beacon_mac) + now = time.time() + with self._with_lock(): + self.last_seen_gw[gw] = now + self.last_seen_beacon[b] = now + self.rssi.setdefault(b, {}).setdefault(gw, []).append(float(rssi)) + + def stats(self, beacons: List[str], gateways: List[str]) -> FingerprintStats: + with self._with_lock(): + counts: Dict[str, Dict[str, int]] = {b: {g: 0 for g in gateways} for b in beacons} + last: Dict[str, Dict[str, float]] = {b: {g: float("nan") for g in gateways} for b in beacons} + for b in beacons: + bm = norm_mac(b) + for g in gateways: + gm = norm_mac(g) + vals = self.rssi.get(bm, {}).get(gm, []) + counts[bm][gm] = len(vals) + if vals: + last[bm][gm] = vals[-1] + return FingerprintStats(counts=counts, last=last) + + def feature_row( + self, + beacon_mac: str, + gateways: List[str], + aggregate: str, + rssi_min: float, + rssi_max: float, + min_samples_per_gateway: int, + outlier_method: str, + mad_z: float, + iqr_k: float, + max_stddev: Optional[float], + ) -> Dict[str, float]: + b = norm_mac(beacon_mac) + out: Dict[str, float] = {} + with self._with_lock(): + for g in gateways: + gm = norm_mac(g) + vals = list(self.rssi.get(b, {}).get(gm, [])) + + # hard clamp + vals = [v for v in vals if (rssi_min <= v <= rssi_max)] + if len(vals) < min_samples_per_gateway: + out[gm] = float("nan") + continue + + # outlier removal + vals2 = vals + if outlier_method == "mad": + vals2 = mad_filter(vals2, z=mad_z) + elif outlier_method == "iqr": + vals2 = iqr_filter(vals2, k=iqr_k) + + if len(vals2) < min_samples_per_gateway: + out[gm] = float("nan") + continue + + if max_stddev is not None: + import statistics + try: + sd = statistics.pstdev(vals2) + if sd > max_stddev: + out[gm] = float("nan") + continue + except Exception: + pass + + # Aggregate: mantieni float (niente cast a int) per poter usare rssi_decimals. + if aggregate == "median": + out[gm] = float(statistics.median(vals2)) + elif aggregate == "median_low": + out[gm] = float(statistics.median_low(sorted(vals2))) + elif aggregate == "median_high": + out[gm] = float(statistics.median_high(sorted(vals2))) + elif aggregate == "mean": + out[gm] = float(statistics.fmean(vals2)) + else: + out[gm] = float(statistics.median(vals2)) + return out + + +def mad_filter(vals: List[float], z: float = 3.5) -> List[float]: + if not vals: + return vals + s = pd.Series(vals) + med = s.median() + mad = (s - med).abs().median() + if mad == 0: + return vals + mz = 0.6745 * (s - med).abs() / mad + return [float(v) for v, keep in zip(vals, (mz <= z).tolist()) if keep] + + +def iqr_filter(vals: List[float], k: float = 1.5) -> List[float]: + if not vals: + return vals + s = pd.Series(vals) + q1 = s.quantile(0.25) + q3 = s.quantile(0.75) + iqr = q3 - q1 + if iqr == 0: + return vals + lo = q1 - k * iqr + hi = q3 + k * iqr + return [float(v) for v in vals if lo <= v <= hi] + + +# ----------------------------- +# MQTT parsing +# ----------------------------- +def parse_topic_gateway(topic: str) -> Optional[str]: + # expected: publish_out/ + parts = (topic or "").split("/") + if len(parts) < 2: + return None + return parts[-1] + + +def parse_payload_list(payload: bytes) -> Optional[List[Dict[str, Any]]]: + try: + obj = json.loads(payload.decode("utf-8", errors="replace")) + if isinstance(obj, list): + return obj + return None + except Exception: + return None + + +def is_gateway_announce(item: Dict[str, Any]) -> bool: + return str(item.get("type", "")).strip().lower() == "gateway" and "mac" in item + + +# ----------------------------- +# Collect train +# ----------------------------- +def run_collect_train(settings: Dict[str, Any]) -> None: + cfg = settings.get("collect_train", {}) or {} + paths = settings.get("paths", {}) or {} + mqtt_cfg = settings.get("mqtt", {}) or {} + debug = settings.get("debug", {}) or {} + + window_seconds = float(cfg.get("window_seconds", 180)) + poll_seconds = float(cfg.get("poll_seconds", 2)) + min_non_nan = int(cfg.get("min_non_nan", 3)) + min_samples_per_gateway = int(cfg.get("min_samples_per_gateway", 5)) + aggregate = str(cfg.get("aggregate", "median")) + # Numero di cifre decimali per i valori RSSI nei file samples (0 = intero) + try: + rssi_decimals = int(cfg.get("rssi_decimals", 0)) + except Exception: + rssi_decimals = 0 + if rssi_decimals < 0: + rssi_decimals = 0 + rssi_min = float(cfg.get("rssi_min", -110)) + rssi_max = float(cfg.get("rssi_max", -25)) + outlier_method = str(cfg.get("outlier_method", "mad")) + mad_z = float(cfg.get("mad_z", 3.5)) + iqr_k = float(cfg.get("iqr_k", 1.5)) + max_stddev = cfg.get("max_stddev", None) + max_stddev = float(max_stddev) if max_stddev is not None else None + + gateway_csv = Path(paths.get("gateways_csv", "/data/config/gateway.csv")) + csv_delimiter = str(paths.get("csv_delimiter", ";")) + + jobs_dir = Path(cfg.get("jobs_dir", "/data/train/jobs")) + pending_dir = jobs_dir / "pending" + done_dir = jobs_dir / "done" + error_dir = jobs_dir / "error" + samples_dir = Path(cfg.get("samples_dir", "/data/train/samples")) + + pending_dir.mkdir(parents=True, exist_ok=True) + done_dir.mkdir(parents=True, exist_ok=True) + error_dir.mkdir(parents=True, exist_ok=True) + samples_dir.mkdir(parents=True, exist_ok=True) + + gw_ready_log_seconds = float(cfg.get("gw_ready_log_seconds", 10)) + gw_ready_sleep_seconds = float(cfg.get("gw_ready_sleep_seconds", 5)) + gw_ready_check_before_job = bool(cfg.get("gw_ready_check_before_job", True)) + online_max_age_s = float(debug.get("online_check_seconds", 30)) + progress_log_seconds = float(cfg.get("wait_all_gateways_log_seconds", 30)) + + gateway_macs, invalid, duplicates = load_gateway_csv(gateway_csv, delimiter=csv_delimiter) + log(f"[gateway.csv] loaded gateways={len(gateway_macs)} invalid={invalid} duplicates={duplicates}") + + log( + "COLLECT_TRAIN config: gateway_csv=%s gateways(feature-set)=%d window_seconds=%.1f poll_seconds=%.1f rssi_decimals=%d jobs_dir=%s " + "pending_dir=%s done_dir=%s error_dir=%s samples_dir=%s mqtt=%s:%s topic=%s" + % ( + gateway_csv, + len(gateway_macs), + window_seconds, + poll_seconds, + rssi_decimals, + jobs_dir, + pending_dir, + done_dir, + error_dir, + samples_dir, + mqtt_cfg.get("host", ""), + mqtt_cfg.get("port", ""), + mqtt_cfg.get("topic", "publish_out/#"), + ) + ) + + fp = FingerprintCollector() + + # MQTT setup + host = mqtt_cfg.get("host", "127.0.0.1") + port = int(mqtt_cfg.get("port", 1883)) + topic = mqtt_cfg.get("topic", "publish_out/#") + client_id = mqtt_cfg.get("client_id", "ble-ai-localizer") + keepalive = int(mqtt_cfg.get("keepalive", 60)) + proto = mqtt.MQTTv311 + + def on_connect(client, userdata, flags, rc): + log(f"MQTT connected rc={rc}, subscribed to {topic}") + client.subscribe(topic) + + def on_message(client, userdata, msg): + gw_from_topic = parse_topic_gateway(msg.topic) + if not gw_from_topic: + return + payload_list = parse_payload_list(msg.payload) + if not payload_list: + return + + for it in payload_list: + if not isinstance(it, dict): + continue + if is_gateway_announce(it): + gwm = it.get("mac", gw_from_topic) + fp.last_seen_gw[norm_mac(gwm)] = time.time() + continue + + bmac = it.get("mac") + rssi = it.get("rssi") + if not bmac or rssi is None: + continue + try: + fp.update(gw_from_topic, bmac, float(rssi)) + except Exception: + continue + + client = mqtt.Client(client_id=client_id, protocol=proto) + client.on_connect = on_connect + client.on_message = on_message + + username = str(mqtt_cfg.get("username", "") or "") + password = str(mqtt_cfg.get("password", "") or "") + if username: + client.username_pw_set(username, password) + + tls = bool(mqtt_cfg.get("tls", False)) + if tls: + client.tls_set(cert_reqs=ssl.CERT_NONE) + client.tls_insecure_set(True) + + log("MQTT thread started (collect_train)") + client.connect(host, port, keepalive=keepalive) + client.loop_start() + + # Wait gateways online + last_ready_log = 0.0 + while True: + now = time.time() + online = 0 + missing = [] + for g in gateway_macs: + seen = fp.last_seen_gw.get(norm_mac(g)) + if seen is not None and (now - seen) <= online_max_age_s: + online += 1 + else: + missing.append(norm_mac(g)) + if online == len(gateway_macs): + log(f"GW READY: online={online}/{len(gateway_macs)} (max_age_s={online_max_age_s:.1f})") + break + if now - last_ready_log >= gw_ready_log_seconds: + log(f"WAIT gateways online ({len(missing)} missing, seen={online}/{len(gateway_macs)}): {missing} (max_age_s={online_max_age_s:.1f})") + last_ready_log = now + time.sleep(gw_ready_sleep_seconds) + + # Job loop + while True: + try: + # periodic gw ready log + now = time.time() + if now - last_ready_log >= gw_ready_log_seconds: + online = 0 + for g in gateway_macs: + seen = fp.last_seen_gw.get(norm_mac(g)) + if seen is not None and (now - seen) <= online_max_age_s: + online += 1 + log(f"GW READY: online={online}/{len(gateway_macs)} (max_age_s={online_max_age_s:.1f})") + last_ready_log = now + + # pick job + job_files = sorted(pending_dir.glob("*.csv")) + if not job_files: + time.sleep(poll_seconds) + continue + + job_path = job_files[0] + job_name = job_path.name + + rows = read_job_csv(job_path, delimiter=csv_delimiter) + if not rows: + # move empty/bad jobs to error + log(f"TRAIN job ERROR: {job_name} err=EmptyJob: no valid rows") + job_path.rename(error_dir / job_path.name) + continue + + # normalize beacons for stats keys + job_beacons_norm = [norm_mac(r["mac"]) for r in rows] + + # optionally wait gateways online before starting the window + if gw_ready_check_before_job: + while True: + now = time.time() + online = 0 + missing = [] + for g in gateway_macs: + seen = fp.last_seen_gw.get(norm_mac(g)) + if seen is not None and (now - seen) <= online_max_age_s: + online += 1 + else: + missing.append(norm_mac(g)) + if online == len(gateway_macs): + break + log(f"WAIT gateways online before job ({len(missing)} missing, seen={online}/{len(gateway_macs)}): {missing}") + time.sleep(1.0) + + log(f"TRAIN job START: {job_name} beacons={len(rows)}") + + start = time.time() + deadline = start + window_seconds + next_progress = start + progress_log_seconds + + while time.time() < deadline: + time.sleep(0.5) + if progress_log_seconds > 0 and time.time() >= next_progress: + st = fp.stats(job_beacons_norm, gateway_macs) + parts = [] + for b in job_beacons_norm: + total = sum(st.counts[b].values()) + gw_seen = sum(1 for g in gateway_macs if st.counts[b][g] > 0) + parts.append(f"{b.replace(':','')}: total={total} gw={gw_seen}/{len(gateway_macs)}") + elapsed = int(time.time() - start) + log(f"COLLECT progress: {elapsed}s/{int(window_seconds)}s " + " | ".join(parts)) + next_progress = time.time() + progress_log_seconds + + out_rows: List[Dict[str, Any]] = [] + st = fp.stats(job_beacons_norm, gateway_macs) + + for r, b_norm in zip(rows, job_beacons_norm): + feats = fp.feature_row( + beacon_mac=b_norm, + gateways=gateway_macs, + aggregate=aggregate, + rssi_min=rssi_min, + rssi_max=rssi_max, + min_samples_per_gateway=min_samples_per_gateway, + outlier_method=outlier_method, + mad_z=mad_z, + iqr_k=iqr_k, + max_stddev=max_stddev, + ) + + non_nan = sum(1 for g in gateway_macs if feats.get(g) == feats.get(g)) + if non_nan < min_non_nan: + sample_info = [] + for g in gateway_macs: + c = st.counts[b_norm][g] + if c > 0: + sample_info.append(f"{g} n={c} last={st.last[b_norm][g]}") + preview = ", ".join(sample_info[:8]) + (" ..." if len(sample_info) > 8 else "") + log( + f"WARNING: beacon {b_norm.replace(':','')} low features non_nan={non_nan} " + f"(seen_gw={sum(1 for g in gateway_macs if st.counts[b_norm][g]>0)}) [{preview}]" + ) + + out_row: Dict[str, Any] = { + "mac": r["mac"], # MAC sempre compatto, senza ':' + "x": float(r["x"]), + "y": float(r["y"]), + "z": float(r["z"]), + } + out_row.update(feats) + out_rows.append(out_row) + + written = [] + for out_row in out_rows: + # Nome file: Z_X_Y.csv (Z, X, Y presi dal job) + zt = _coord_token(out_row.get("z")) + xt = _coord_token(out_row.get("x")) + yt = _coord_token(out_row.get("y")) + base_name = f"{zt}_{xt}_{yt}.csv" + out_path = samples_dir / base_name + write_samples_csv(out_path, [out_row], gateway_macs, delimiter=csv_delimiter, rssi_decimals=rssi_decimals) + written.append(out_path.name) + + job_path.rename(done_dir / job_path.name) + if written: + shown = ", ".join(written[:10]) + more = "" if len(written) <= 10 else f" (+{len(written)-10} altri)" + log(f"TRAIN job DONE: wrote {len(written)} sample files to {samples_dir}: {shown}{more}") + else: + log(f"TRAIN job DONE: no output rows (empty job?)") + + except Exception as e: + log(f"TRAIN job ERROR: {job_name} err={type(e).__name__}: {e}") + try: + job_path.rename(error_dir / job_path.name) + except Exception: + pass + time.sleep(0.5) + + +def main() -> None: + settings = load_settings() + cfg_file = settings.get("_config_file", "") + keys = [k for k in settings.keys() if not str(k).startswith("_")] + log(f"Settings loaded from {cfg_file}. Keys: {keys}") + log(f"BUILD: {build_info()}") + + mode = str(settings.get("mode", "collect_train")).strip().lower() + + if mode == "collect_train": + run_collect_train(settings) + return + + if mode == "train": + from .train_mode import run_train + run_train(settings) + return + + if mode == "infer": + from .infer_mode import run_infer + run_infer(settings) + return + + raise ValueError(f"unknown mode: {mode}") + + +if __name__ == "__main__": + main() diff --git a/app/map_manager.py b/app/map_manager.py new file mode 100644 index 0000000..f3941f8 --- /dev/null +++ b/app/map_manager.py @@ -0,0 +1,49 @@ +import base64 +from io import BytesIO + +def get_image_base64(img): + buffered = BytesIO() + img.save(buffered, format="PNG") + img_str = base64.b64encode(buffered.getvalue()).decode() + return f"data:image/png;base64,{img_str}" + +def show_mapper_v2(cfg): + # ... (caricamento meta e percorsi come nel tuo file originale) ... + + img_path = MAPS_DIR / f"{cfg['maps']['floor_prefix']}{floor_id}.png" + img = Image.open(img_path).convert("RGBA") + img_width, img_height = img.size + img_b64 = get_image_base64(img) + + # Prepariamo la lista dei punti esistenti (Punto 6 delle specifiche) + dots_data = [] + # Qui cicla sui tuoi file CSV e popola dots_data con {x, y, relX, relY, status} + + # Integrazione del componente HTML + # Carichiamo il JS dal file esterno + with open("leaflet_bridge.js", "r") as f: + js_code = f.read() + + html_content = f""" + + +
    + + """ + + # Il componente restituisce il valore di window.parent.postMessage + result = components.html(html_content, height=650) + + if result: + st.write(f"Posizione catturata: {result}") + # Qui inserisci la tua logica di salvataggio CSV che avevi nel punto 7 diff --git a/app/map_manager.py_v1 b/app/map_manager.py_v1 new file mode 100644 index 0000000..c1d5ca3 --- /dev/null +++ b/app/map_manager.py_v1 @@ -0,0 +1,145 @@ +import os +import json +import streamlit as st +import pandas as pd +from PIL import Image, ImageDraw +from pathlib import Path +from streamlit_drawable_canvas import st_canvas +import time + +def show_mapper(cfg): + # --- 1. CONFIGURAZIONE PERCORSI --- + MAPS_DIR = Path(cfg['maps']['map_dir']) + SAMPLES_DIR = Path(cfg['train']['samples_dir']) + PENDING_DIR = Path(cfg['collect_train']['jobs_dir']) / "pending" + BEACONS_FILE = "/data/config/beacons.csv" + + [p.mkdir(parents=True, exist_ok=True) for p in [MAPS_DIR, SAMPLES_DIR, PENDING_DIR]] + + def load_map_metadata(f_id): + meta_path = MAPS_DIR / f"{cfg['maps']['meta_prefix']}{f_id}.json" + defaults = {"pixel_ratio": 1.0, "calibrated": False, "origin": [0, 0], "grid_size": 50} + if meta_path.exists(): + with open(meta_path, "r") as f: return {**defaults, **json.load(f)} + return defaults + + st.subheader("🗺️ Gestione Mappatura e Rilevamento") + + # Selezione Piano + maps = sorted([f.replace(cfg['maps']['floor_prefix'], "").split('.')[0] for f in os.listdir(MAPS_DIR) if f.startswith(cfg['maps']['floor_prefix'])]) + if not maps: st.error("Nessuna mappa trovata."); return + floor_id = st.selectbox("Seleziona Piano (Z):", maps) + meta = load_map_metadata(floor_id) + + # --- 2. STATO SISTEMA --- + c_s1, c_s2 = st.columns(2) + with c_s1: + st.info(f"📏 Scala: {'✅' if meta['calibrated'] else '❌'} ({meta['pixel_ratio']:.4f} px/cm)") + with c_s2: + st.info(f"🎯 Origine: {'✅' if meta['origin'] != [0,0] else '❌'} (X:{meta['origin'][0]}, Y:{meta['origin'][1]})") + + # --- 3. CONTROLLI VISUALIZZAZIONE --- + with st.expander("🎨 Opzioni Visualizzazione", expanded=True): + c_v1, c_v2, c_v3 = st.columns(3) + zoom = c_v1.slider("🔍 Zoom Mappa", 0.1, 4.0, 1.0, 0.1) + dot_size = c_v2.slider("🔵/🟢 Dimensione Punti", 10, 100, 40) + mode = c_v3.radio("Modalità Interazione:", ["🖐️ NAVIGA", "🎯 AZIONE"], horizontal=True) + + # --- 4. SELEZIONE STRUMENTO --- + t1, t2, t3 = st.columns(3) + if t1.button("📏 IMPOSTA SCALA", use_container_width=True): st.session_state.map_tool = "Calibra" + if t2.button("🎯 SET ORIGINE", use_container_width=True): st.session_state.map_tool = "Origine" + + is_ready = meta.get("calibrated", False) and meta["origin"] != [0, 0] + if t3.button("📡 RILEVA", use_container_width=True, disabled=not is_ready): st.session_state.map_tool = "Rileva" + + tool = st.session_state.get('map_tool', 'Rileva') + st.write(f"Strumento attivo: **{tool}**") + + # --- 5. PREPARAZIONE IMMAGINE E STORICO --- + img_path = MAPS_DIR / f"{cfg['maps']['floor_prefix']}{floor_id}.png" + if not img_path.exists(): img_path = MAPS_DIR / f"{cfg['maps']['floor_prefix']}{floor_id}.jpg" + img = Image.open(img_path).convert("RGBA") + draw = ImageDraw.Draw(img) + + if is_ready: + samples_files = list(SAMPLES_DIR.glob(f"{floor_id}_*.csv")) + pending_files = list(PENDING_DIR.glob(f"{floor_id}_*.csv")) + + def draw_points(files, color): + for f in files: + try: + p = f.stem.split("_") + px = (int(p[1]) * meta["pixel_ratio"]) + meta["origin"][0] + py = (int(p[2]) * meta["pixel_ratio"]) + meta["origin"][1] + r = dot_size // 2 + draw.ellipse([px-r, py-r, px+r, py+r], fill=color, outline="white", width=2) + except: continue + + draw_points(samples_files, "#228B22") # Verde: Completati + draw_points(pending_files, "#0000FF") # Blu: In corso + + # --- 6. CANVAS --- + d_mode = "transform" if mode == "🖐️ NAVIGA" else ("line" if tool == "Calibra" else "point") + + canvas_result = st_canvas( + background_image=img, + height=int(img.size[1] * zoom), + width=int(img.size[0] * zoom), + drawing_mode=d_mode, + display_toolbar=True, + update_streamlit=True, + key=f"canvas_v10_{floor_id}_{zoom}_{mode}_{tool}", + ) + + # --- 7. LOGICA AZIONI E SALVATAGGIO CSV --- + if mode == "🎯 AZIONE" and canvas_result.json_data and canvas_result.json_data["objects"]: + last = canvas_result.json_data["objects"][-1] + raw_x, raw_y = last["left"] / zoom, last["top"] / zoom + + if tool == "Calibra" and last["type"] == "line": + px_dist = ((last["x2"] - last["x1"])**2 + (last["y2"] - last["y1"])**2)**0.5 / zoom + dist_cm = st.number_input("Distanza reale (cm):", value=100.0) + if st.button("APPLICA SCALA"): + meta.update({"pixel_ratio": px_dist / dist_cm, "calibrated": True}) + with open(MAPS_DIR / f"{cfg['maps']['meta_prefix']}{floor_id}.json", "w") as f: + json.dump(meta, f) + st.rerun() + + elif tool == "Origine": + if st.button(f"Fissa Origine qui: {int(raw_x)}, {int(raw_y)}"): + meta["origin"] = [int(raw_x), int(raw_y)] + with open(MAPS_DIR / f"{cfg['maps']['meta_prefix']}{floor_id}.json", "w") as f: + json.dump(meta, f) + st.rerun() + + elif tool == "Rileva" and is_ready: + dx = (raw_x - meta["origin"][0]) / meta["pixel_ratio"] + dy = (raw_y - meta["origin"][1]) / meta["pixel_ratio"] + grid = meta.get("grid_size", 50) + sx, sy = int(round(dx/grid)*grid), int(round(dy/grid)*grid) + + st.write(f"### 📍 Punto: {sx}cm, {sy}cm") + + if os.path.exists(BEACONS_FILE): + b_df = pd.read_csv(BEACONS_FILE, sep=";") + sel_b = st.selectbox("Seleziona Beacon:", b_df.apply(lambda x: f"{x['BeaconName']} | {x['MAC']}", axis=1)) + if st.button("🚀 REGISTRA LETTURA", type="primary", use_container_width=True): + b_name, b_mac = sel_b.split(" | ") + fname = f"{floor_id}_{sx}_{sy}.csv" + + # --- FIX SINTASSI CSV --- + # Formato: Position;Floor;RoomName;X;Y;Z;BeaconName;MAC + data_out = { + "Position": f"P_{sx}_{sy}", + "Floor": floor_id, + "RoomName": "Area_Rilevazione", + "X": sx, + "Y": sy, + "Z": 0, + "BeaconName": b_name, + "MAC": b_mac + } + pd.DataFrame([data_out]).to_csv(PENDING_DIR / fname, index=False, sep=";") + st.toast(f"Punto Blu registrato!") + time.sleep(1); st.rerun() diff --git a/app/map_manager.py_v2 b/app/map_manager.py_v2 new file mode 100644 index 0000000..f3941f8 --- /dev/null +++ b/app/map_manager.py_v2 @@ -0,0 +1,49 @@ +import base64 +from io import BytesIO + +def get_image_base64(img): + buffered = BytesIO() + img.save(buffered, format="PNG") + img_str = base64.b64encode(buffered.getvalue()).decode() + return f"data:image/png;base64,{img_str}" + +def show_mapper_v2(cfg): + # ... (caricamento meta e percorsi come nel tuo file originale) ... + + img_path = MAPS_DIR / f"{cfg['maps']['floor_prefix']}{floor_id}.png" + img = Image.open(img_path).convert("RGBA") + img_width, img_height = img.size + img_b64 = get_image_base64(img) + + # Prepariamo la lista dei punti esistenti (Punto 6 delle specifiche) + dots_data = [] + # Qui cicla sui tuoi file CSV e popola dots_data con {x, y, relX, relY, status} + + # Integrazione del componente HTML + # Carichiamo il JS dal file esterno + with open("leaflet_bridge.js", "r") as f: + js_code = f.read() + + html_content = f""" + + +
    + + """ + + # Il componente restituisce il valore di window.parent.postMessage + result = components.html(html_content, height=650) + + if result: + st.write(f"Posizione catturata: {result}") + # Qui inserisci la tua logica di salvataggio CSV che avevi nel punto 7 diff --git a/app/mqtt_client.py b/app/mqtt_client.py new file mode 100644 index 0000000..3747586 --- /dev/null +++ b/app/mqtt_client.py @@ -0,0 +1,50 @@ +import os +import time +import paho.mqtt.client as mqtt + +class MqttSubscriber: + def __init__(self, host: str, port: int, topic: str, protocol: str = "mqttv311", + client_id: str = "ble-ai-localizer", keepalive: int = 60, + username: str = "", password: str = "", qos: int = 0): + self.host = host + self.port = port + self.topic = topic + self.keepalive = keepalive + self.qos = qos + + # protocol mapping + proto_map = { + "mqttv311": mqtt.MQTTv311, + "mqttv31": mqtt.MQTTv31, + "mqttv5": mqtt.MQTTv5, + } + proto = proto_map.get((protocol or "mqttv311").lower(), mqtt.MQTTv311) + + self.client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2, client_id=client_id, protocol=proto) + + if username: + self.client.username_pw_set(username=username, password=password if password else None) + + self.client.on_connect = self._on_connect + self.client.on_disconnect = self._on_disconnect + + # callback utente (topic, payload_bytes) + self.on_message_user = None + self.client.on_message = self._on_message + + def _on_connect(self, client, userdata, flags, reason_code, properties=None): + # subscribe + client.subscribe(self.topic, qos=self.qos) + print(f"MQTT connected rc={reason_code}, subscribed to {self.topic}", flush=True) + + def _on_disconnect(self, client, userdata, reason_code, properties=None): + print(f"MQTT disconnected rc={reason_code}", flush=True) + + def _on_message(self, client, userdata, msg): + if self.on_message_user: + self.on_message_user(msg.topic, msg.payload) + + def start_forever(self): + # reconnect loop gestito da loop_forever + self.client.connect(self.host, self.port, self.keepalive) + self.client.loop_forever(retry_first_connection=True) diff --git a/app/mqtt_parser.py b/app/mqtt_parser.py new file mode 100644 index 0000000..a46fd12 --- /dev/null +++ b/app/mqtt_parser.py @@ -0,0 +1,69 @@ +"""mqtt_parser.py + +Parser del topic/payload MQTT in formato publish_out/ con payload JSON list. + +Esempio payload: +[ + {"timestamp":"...","type":"Gateway","mac":"AC233FC1DD3C","nums":9}, + {"timestamp":"...","mac":"C3000057B9F4","rssi":-56,"rawData":"..."}, + ... +] + +Restituisce eventi normalizzati (gateway_mac_compact, beacon_mac_compact, rssi, timestamp_iso). +""" + +from __future__ import annotations + +import json +from typing import List, Optional, Tuple + +from .normalize import mac_to_compact + + +MqttEvent = Tuple[str, str, float, Optional[str]] # (gw_compact, beacon_compact, rssi, ts_iso) + + +def parse_publish_out(topic: str, payload: bytes) -> List[MqttEvent]: + try: + obj = json.loads(payload.decode("utf-8", errors="strict")) + except Exception: + return [] + + if not isinstance(obj, list) or not obj: + return [] + + # Gateway MAC: preferisci il primo elemento "type: Gateway" se presente, altrimenti usa il topic. + gw_compact: str = "" + first = obj[0] + if isinstance(first, dict) and str(first.get("type", "")).lower() == "gateway" and "mac" in first: + gw_compact = mac_to_compact(first.get("mac")) + + if not gw_compact: + # topic: publish_out/ + gw_compact = mac_to_compact(topic.split("/")[-1]) + + out: List[MqttEvent] = [] + for item in obj: + if not isinstance(item, dict): + continue + if str(item.get("type", "")).lower() == "gateway": + continue + + mac = item.get("mac") + rssi = item.get("rssi") + if mac is None or rssi is None: + continue + + b_compact = mac_to_compact(mac) + if len(b_compact) != 12: + continue + + try: + rssi_f = float(rssi) + except Exception: + continue + + ts = item.get("timestamp") + out.append((gw_compact, b_compact, rssi_f, ts if isinstance(ts, str) else None)) + + return out diff --git a/app/normalize.py b/app/normalize.py new file mode 100644 index 0000000..c6e5b73 --- /dev/null +++ b/app/normalize.py @@ -0,0 +1,46 @@ +"""normalize.py + +Helper per normalizzare i MAC address in due formati: + +- compact: 12 hex uppercase senza separatori (es: AC233FC1DD3C) +- colon: 6 byte separati da ":" (es: AC:23:3F:C1:DD:3C) + +Nota: nel progetto usiamo **compact** come chiave interna per fare matching tra: +- gateway.csv (spesso con i ":") +- topic MQTT (publish_out/ in genere senza ":") +- payload JSON (mac beacon/gateway spesso senza ":") + +Il formato colon rimane utile solo per *rendering* (es: header CSV). +""" + +from __future__ import annotations + +import re + +_HEX_ONLY = re.compile(r"[^0-9A-Fa-f]") + + +def mac_to_compact(mac: object) -> str: + """Ritorna 12 hex uppercase senza separatori.""" + if mac is None: + return "" + s = _HEX_ONLY.sub("", str(mac)).upper() + if len(s) == 12: + return s + if len(s) > 12: + # se arriva qualcosa di più lungo (es. UUID), prendiamo gli ultimi 12 + return s[-12:] + return s + + +def compact_to_colon(mac12: object) -> str: + """Converte 'AC233FC1DD3C' -> 'AC:23:3F:C1:DD:3C'.""" + s = mac_to_compact(mac12) + if len(s) != 12: + return s + return ":".join(s[i : i + 2] for i in range(0, 12, 2)) + + +def norm_mac(mac: object) -> str: + """Alias storico: ritorna il formato con ':'.""" + return compact_to_colon(mac) diff --git a/app/online_monitor.py b/app/online_monitor.py new file mode 100644 index 0000000..68065d9 --- /dev/null +++ b/app/online_monitor.py @@ -0,0 +1,82 @@ +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import Dict, Set, List +import time + + +def canonical_mac(mac: str) -> str: + """ + Normalize MAC to 'AA:BB:CC:DD:EE:FF' (uppercase). + Accepts: + - 'AC233FC1DCCB' + - 'ac:23:3f:c1:dc:cb' + - 'AC-23-3F-C1-DC-CB' + - other variants (best-effort) + """ + s = str(mac).strip() + if not s: + return s + + # keep only hex chars + hex_only = "".join(ch for ch in s if ch.isalnum()).upper() + + # If it's exactly 12 hex chars -> format with ':' + if len(hex_only) == 12: + return ":".join(hex_only[i:i + 2] for i in range(0, 12, 2)) + + # Fallback: uppercase original (best-effort) + return s.upper() + + +@dataclass +class OnlineMonitor: + gateway_macs: Set[str] + beacon_macs: Set[str] + offline_after_seconds_gateways: int = 120 + offline_after_seconds_beacons: int = 600 + + last_seen_gw: Dict[str, float] = field(default_factory=dict) + last_seen_beacon: Dict[str, float] = field(default_factory=dict) + + def __post_init__(self) -> None: + # normalize allowed sets once + self.gateway_macs = {canonical_mac(m) for m in self.gateway_macs} + self.beacon_macs = {canonical_mac(m) for m in self.beacon_macs} + + def mark_gateway_seen(self, gw_mac: str) -> None: + self.last_seen_gw[canonical_mac(gw_mac)] = time.time() + + def mark_beacon_seen(self, beacon_mac: str) -> None: + self.last_seen_beacon[canonical_mac(beacon_mac)] = time.time() + + def _offline(self, allowed: Set[str], last_seen: Dict[str, float], threshold: int) -> List[str]: + now = time.time() + off = [] + for mac in sorted(allowed): + t = last_seen.get(mac) + if t is None: + off.append(mac) + elif (now - t) > threshold: + off.append(mac) + return off + + def offline_gateways(self) -> List[str]: + return self._offline(self.gateway_macs, self.last_seen_gw, self.offline_after_seconds_gateways) + + def offline_beacons(self) -> List[str]: + return self._offline(self.beacon_macs, self.last_seen_beacon, self.offline_after_seconds_beacons) + + def _age(self, mac: str, last_seen: Dict[str, float]) -> int: + t = last_seen.get(mac) + if t is None: + return -1 + return int(time.time() - t) + + def offline_gateways_with_age(self): + off = self.offline_gateways() + return [(m, self._age(m, self.last_seen_gw)) for m in off] + + def offline_beacons_with_age(self): + off = self.offline_beacons() + return [(m, self._age(m, self.last_seen_beacon)) for m in off] diff --git a/app/settings.py b/app/settings.py new file mode 100644 index 0000000..ce77a7a --- /dev/null +++ b/app/settings.py @@ -0,0 +1,32 @@ +import os +from pathlib import Path +import yaml + +def _read_yaml(path: str) -> dict: + with open(path, "r", encoding="utf-8") as f: + return yaml.safe_load(f) or {} + +def deep_merge(a: dict, b: dict) -> dict: + out = dict(a or {}) + for k, v in (b or {}).items(): + if isinstance(v, dict) and isinstance(out.get(k), dict): + out[k] = deep_merge(out[k], v) + else: + out[k] = v + return out + +def load_settings() -> dict: + cfg_path = os.getenv("CONFIG_FILE", "/app/config/config.yaml") + settings = _read_yaml(cfg_path) + + secrets_path = os.getenv("SECRETS_FILE", "") + if secrets_path and Path(secrets_path).exists(): + secrets = _read_yaml(secrets_path) + settings = deep_merge(settings, secrets) + + # fallback paths (coerenti con compose) + settings.setdefault("paths", {}) + settings["paths"].setdefault("dataset", os.getenv("DATASET_PATH", "/data/fingerprint.parquet")) + settings["paths"].setdefault("model", os.getenv("MODEL_PATH", "/models/model.joblib")) + + return settings diff --git a/app/tls.py b/app/tls.py new file mode 100644 index 0000000..687b4b0 --- /dev/null +++ b/app/tls.py @@ -0,0 +1,5 @@ +import urllib3 + +def silence_insecure_warnings(enable: bool): + if enable: + urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) diff --git a/app/train_collect.py b/app/train_collect.py new file mode 100644 index 0000000..80a668b --- /dev/null +++ b/app/train_collect.py @@ -0,0 +1,349 @@ +"""train_collect.py + +Modalità COLLECT_TRAIN: +- attende che tutti i gateway del feature-set (gateway.csv) siano online (traffic MQTT) +- prende job CSV da jobs_dir/pending/*.csv +- per ogni job: apre una finestra di raccolta di window_seconds, aggrega RSSI per GW +- scrive sample CSV in samples_dir + +Bugfix fondamentale (per i tuoi NAN): +- matching interno su MAC in formato **compact** (12 hex senza ':'). +""" + +from __future__ import annotations + +import os +import time +import shutil +import glob +import math +import datetime +from dataclasses import dataclass +from typing import Dict, List, Optional, Tuple + +import pandas as pd + +from .normalize import mac_to_compact, compact_to_colon +from .mqtt_client import MqttSubscriber +from .mqtt_parser import parse_publish_out +from .fingerprint import FingerprintWindow +from .logger_utils import log_msg as log + + +def _ensure_dir(path: str) -> None: + os.makedirs(path, exist_ok=True) + + +def _read_delimited_csv(path: str, prefer_delim: str = ";") -> pd.DataFrame: + for sep in [prefer_delim, ",", "\t"]: + try: + df = pd.read_csv(path, sep=sep, dtype=str, keep_default_na=False) + if len(df.columns) >= 1: + return df + except Exception: + continue + return pd.read_csv(path, dtype=str, keep_default_na=False) + + +def load_gateway_csv(path: str, delimiter: str = ";") -> Tuple[List[str], List[str]]: + df = _read_delimited_csv(path, prefer_delim=delimiter) + if df.empty: + return [], [] + + mac_col = None + for c in df.columns: + if c.strip().lower() == "mac": + mac_col = c + break + if mac_col is None: + mac_col = df.columns[0] + + headers: List[str] = [] + keys: List[str] = [] + seen = set() + invalid = 0 + dup = 0 + + for raw in df[mac_col].tolist(): + k = mac_to_compact(raw) + if len(k) != 12: + invalid += 1 + continue + if k in seen: + dup += 1 + continue + seen.add(k) + keys.append(k) + headers.append(compact_to_colon(k)) + + log(f"[gateway.csv] loaded gateways={len(keys)} invalid={invalid} duplicates={dup}") + return headers, keys + + +@dataclass +class TrainTarget: + mac: str # compact + x: float + y: float + z: float + + +def read_job_csv(job_path: str, delimiter: str = ";") -> List[TrainTarget]: + df = _read_delimited_csv(job_path, prefer_delim=delimiter) + if df.empty: + return [] + + cols = {c.strip().lower(): c for c in df.columns} + + def col(name: str) -> Optional[str]: + return cols.get(name) + + mac_c = col("mac") + x_c = col("x") + y_c = col("y") + z_c = col("z") + if not mac_c: + raise ValueError(f"Job CSV senza colonna 'mac': {job_path}") + + out: List[TrainTarget] = [] + for _, row in df.iterrows(): + m = mac_to_compact(row[mac_c]) + if len(m) != 12: + continue + x = float(row[x_c]) if x_c else 0.0 + y = float(row[y_c]) if y_c else 0.0 + z = float(row[z_c]) if z_c else 0.0 + out.append(TrainTarget(mac=m, x=x, y=y, z=z)) + return out + + +def _pick_collect_cfg(settings: Dict) -> Dict: + if "collect_train" in settings and isinstance(settings["collect_train"], dict): + return settings["collect_train"] + if "training" in settings and isinstance(settings["training"], dict): + log("WARNING: config usa 'training:' (alias). Consiglio: rinomina in 'collect_train:'") + return settings["training"] + return {} + + +def run_collect_train(settings: Dict) -> None: + ct = _pick_collect_cfg(settings) + paths = settings.get("paths", {}) or {} + mqtt_cfg = settings.get("mqtt", {}) or {} + dbg = settings.get("debug", {}) or {} + + jobs_dir = str(ct.get("jobs_dir", "/data/train/jobs")) + samples_dir = str(ct.get("samples_dir", "/data/train/samples")) + job_glob = str(ct.get("job_glob", "*.csv")) + poll_seconds = float(ct.get("poll_seconds", ct.get("poll_pending_seconds", 2))) + window_seconds = float(ct.get("window_seconds", 10)) + min_non_nan = int(ct.get("min_non_nan", 3)) + + aggregate = str(ct.get("aggregate", "median")).lower() + rssi_min = float(ct.get("rssi_min", -110)) + rssi_max = float(ct.get("rssi_max", -25)) + outlier_method = str(ct.get("outlier_method", "none")).lower() + mad_z = float(ct.get("mad_z", 3.5)) + min_samples_per_gateway = int(ct.get("min_samples_per_gateway", 1)) + max_stddev = ct.get("max_stddev", None) + max_stddev = float(max_stddev) if max_stddev is not None else None + + gateway_ready_max_age_seconds = float(ct.get("gateway_ready_max_age_seconds", 30)) + gw_ready_log_seconds = float(ct.get("gw_ready_log_seconds", 10)) + gw_ready_sleep_seconds = float(ct.get("gw_ready_sleep_seconds", 5)) + gw_ready_check_before_job = bool(ct.get("gw_ready_check_before_job", True)) + + csv_delim = str(paths.get("csv_delimiter", ";")) + gateway_csv = str(paths.get("gateways_csv", "/data/config/gateway.csv")) + + # Debug opzionale durante finestra + log_progress = bool(dbg.get("collect_train_log_samples", False)) + log_first_seen = bool(dbg.get("collect_train_log_first_seen", False)) + log_every_s = float(dbg.get("collect_train_log_every_seconds", 15)) + + pending_dir = os.path.join(jobs_dir, "pending") + done_dir = os.path.join(jobs_dir, "done") + error_dir = os.path.join(jobs_dir, "error") + + _ensure_dir(pending_dir) + _ensure_dir(done_dir) + _ensure_dir(error_dir) + _ensure_dir(samples_dir) + + gateway_headers, gateway_keys = load_gateway_csv(gateway_csv, delimiter=csv_delim) + if not gateway_keys: + log("ERROR: Nessun gateway valido nel gateway.csv -> non posso partire.") + return + + mqtt_host = str(mqtt_cfg.get("host", "mosquitto")) + mqtt_port = int(mqtt_cfg.get("port", 1883)) + mqtt_topic = str(mqtt_cfg.get("topic", "publish_out/#")) + mqtt_proto = str(mqtt_cfg.get("protocol", "mqttv311")).lower() + client_id = str(mqtt_cfg.get("client_id", "ble-ai-localizer")) + keepalive = int(mqtt_cfg.get("keepalive", 60)) + qos = int(mqtt_cfg.get("qos", 0)) + username = str(mqtt_cfg.get("username", "")) + password = str(mqtt_cfg.get("password", "")) + + last_seen: Dict[str, float] = {} + active_window: Optional[FingerprintWindow] = None + active_logged_pairs: set = set() + + def on_mqtt_message(topic: str, payload: bytes) -> None: + nonlocal active_window, active_logged_pairs + events = parse_publish_out(topic, payload) + now = time.time() + for gw_key, b_key, rssi, _ts in events: + if len(gw_key) == 12: + last_seen[gw_key] = now + + if active_window is None: + continue + + accepted = active_window.add(gw_key, b_key, rssi) + if accepted and log_first_seen: + pair = (b_key, gw_key) + if pair not in active_logged_pairs: + active_logged_pairs.add(pair) + log(f"SEEN target beacon={b_key} gw={compact_to_colon(gw_key)} rssi={rssi:.1f}") + + sub = MqttSubscriber( + host=mqtt_host, + port=mqtt_port, + topic=mqtt_topic, + mqtt_proto=mqtt_proto, + client_id=client_id, + keepalive=keepalive, + qos=qos, + username=username if username else None, + password=password if password else None, + ) + + import threading + t = threading.Thread(target=sub.start_forever, args=(on_mqtt_message,), daemon=True) + t.start() + + log("MQTT thread started (collect_train)") + log( + f"COLLECT_TRAIN config: gateway_csv={gateway_csv} gateways(feature-set)={len(gateway_keys)} " + f"window_seconds={window_seconds:.1f} poll_seconds={poll_seconds:.1f} " + f"jobs_dir={jobs_dir} pending_dir={pending_dir} done_dir={done_dir} error_dir={error_dir} " + f"samples_dir={samples_dir} mqtt={mqtt_host}:{mqtt_port} topic={mqtt_topic}" + ) + + def gateways_online() -> Tuple[int, List[str]]: + now = time.time() + missing: List[str] = [] + for gk, hdr in zip(gateway_keys, gateway_headers): + last = last_seen.get(gk) + if last is None or (now - last) > gateway_ready_max_age_seconds: + missing.append(hdr) + return len(missing), missing + + def wait_for_gateways() -> None: + last_log = 0.0 + while True: + miss_n, missing = gateways_online() + if miss_n == 0: + log(f"GW READY: online={len(gateway_keys)}/{len(gateway_keys)} (max_age_s={gateway_ready_max_age_seconds:.1f})") + return + now = time.time() + if now - last_log >= gw_ready_log_seconds: + last_log = now + log( + f"WAIT gateways online ({miss_n} missing, seen={len(gateway_keys)-miss_n}/{len(gateway_keys)}): {missing} " + f"(max_age_s={gateway_ready_max_age_seconds:.1f})" + ) + time.sleep(gw_ready_sleep_seconds) + + while True: + jobs = sorted(glob.glob(os.path.join(pending_dir, job_glob))) + if not jobs: + time.sleep(poll_seconds) + continue + + for job_path in jobs: + job_name = os.path.basename(job_path) + try: + if gw_ready_check_before_job: + wait_for_gateways() + + targets = read_job_csv(job_path, delimiter=csv_delim) + if not targets: + raise RuntimeError("job CSV vuoto o senza MAC validi") + + beacon_keys = [t.mac for t in targets] + log(f"TRAIN job START: {job_name} beacons={len(beacon_keys)}") + + active_logged_pairs = set() + active_window = FingerprintWindow( + beacon_keys=beacon_keys, + gateway_headers=gateway_headers, + gateway_keys=gateway_keys, + rssi_min=rssi_min, + rssi_max=rssi_max, + outlier_method=outlier_method, + mad_z=mad_z, + min_samples_per_gateway=min_samples_per_gateway, + max_stddev=max_stddev, + ) + + t0 = time.time() + next_log = t0 + log_every_s + + while True: + elapsed = time.time() - t0 + if elapsed >= window_seconds: + break + if log_progress and time.time() >= next_log: + next_log = time.time() + log_every_s + parts = [] + for b in beacon_keys: + tops = active_window.top_gateways(b, aggregate=aggregate, top_n=3) + if not tops: + parts.append(f"{b}:0gw") + else: + top_s = ",".join([f"{hdr}({n})" for n, hdr, _agg in tops]) + parts.append(f"{b}:{top_s}") + log(f"WINDOW progress {elapsed:.0f}/{window_seconds:.0f}s -> " + " | ".join(parts)) + time.sleep(0.25) + + rows: List[Dict[str, object]] = [] + for tt in targets: + feats = active_window.features_for(tt.mac, aggregate=aggregate) + non_nan = sum(0 if (isinstance(v, float) and math.isnan(v)) else 1 for v in feats.values()) + if non_nan < min_non_nan: + log(f"WARNING: beacon {tt.mac} low features non_nan={non_nan}") + + tops = active_window.top_gateways(tt.mac, aggregate=aggregate, top_n=5) + if tops: + top_s = ", ".join([f"{hdr} n={n} agg={agg:.1f}" for n, hdr, agg in tops]) + log(f"SUMMARY beacon {tt.mac}: {top_s}") + else: + log(f"SUMMARY beacon {tt.mac}: no samples captured") + + row: Dict[str, object] = {"mac": tt.mac, "x": float(tt.x), "y": float(tt.y), "z": float(tt.z)} + row.update(feats) + rows.append(row) + + out_df = pd.DataFrame(rows) + cols = ["mac", "x", "y", "z"] + gateway_headers + out_df = out_df.reindex(columns=cols) + + epoch = int(time.time()) + out_name = f"{os.path.splitext(job_name)[0]}__{epoch}.csv" + out_path = os.path.join(samples_dir, out_name) + out_df.to_csv(out_path, sep=csv_delim, index=False, float_format="%.1f", na_rep="nan") + + log(f"TRAIN job DONE: wrote {out_path} rows={len(out_df)}") + + shutil.move(job_path, os.path.join(done_dir, job_name)) + + except Exception as e: + log(f"ERROR processing job {job_name}: {e}") + try: + shutil.move(job_path, os.path.join(error_dir, job_name)) + except Exception: + pass + finally: + active_window = None diff --git a/app/train_mode.py b/app/train_mode.py new file mode 100644 index 0000000..a22757e --- /dev/null +++ b/app/train_mode.py @@ -0,0 +1,419 @@ +# app/train_mode.py +# Training mode: build hierarchical KNN model (floor classifier + per-floor X/Y regressors) +# Adds verbose dataset statistics useful for large training runs. + +from __future__ import annotations + +import glob +import os +import time +import math +from dataclasses import dataclass +from typing import Any, Callable, Dict, List, Optional, Tuple + +import joblib +from datetime import datetime +import numpy as np +import pandas as pd +from sklearn.neighbors import KNeighborsClassifier, KNeighborsRegressor +import sklearn + +# NOTE: these are already present in the project +from .csv_config import load_gateway_features_csv +from .logger_utils import log_msg as log + + +@dataclass +class GatewayStats: + mac: str + total_samples: int = 0 # total rows processed (per sample point) + non_missing: int = 0 # non-missing rssi count + missing: int = 0 # missing (nan) count + sum_: float = 0.0 + sumsq: float = 0.0 + min_: float = float("inf") + max_: float = float("-inf") + + def add(self, v: float, is_missing: bool) -> None: + self.total_samples += 1 + if is_missing: + self.missing += 1 + return + self.non_missing += 1 + self.sum_ += v + self.sumsq += v * v + if v < self.min_: + self.min_ = v + if v > self.max_: + self.max_ = v + + def mean(self) -> float: + return self.sum_ / self.non_missing if self.non_missing else float("nan") + + def std(self) -> float: + if self.non_missing <= 1: + return float("nan") + mu = self.mean() + var = max(0.0, (self.sumsq / self.non_missing) - (mu * mu)) + return math.sqrt(var) + + def missing_pct(self) -> float: + return (self.missing / self.total_samples) * 100.0 if self.total_samples else 0.0 + + +def _get(d: Dict[str, Any], key: str, default: Any = None) -> Any: + return d.get(key, default) if isinstance(d, dict) else default + + +def _as_bool(v: Any, default: bool = False) -> bool: + if v is None: + return default + if isinstance(v, bool): + return v + if isinstance(v, (int, float)): + return bool(v) + s = str(v).strip().lower() + return s in ("1", "true", "yes", "y", "on") + + +def _safe_float(v: Any) -> Optional[float]: + try: + if v is None: + return None + if isinstance(v, float) and math.isnan(v): + return None + return float(v) + except Exception: + return None + + +def _collect_dataset( + sample_files: List[str], + gateways_order: List[str], + nan_fill: float, + log: Callable[[str], None], + verbose: bool, +) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray, Dict[str, GatewayStats], Dict[str, Any]]: + """ + Build dataset from per-point sample csv files. + + Each sample file is expected to contain: + header: mac;x;y;z;;... + 1 row: beacon_mac; x; y; z; rssi_gw1; rssi_gw2; ... + + Returns: + X (N, G), y_floor (N,), y_xy (N,2), meta_xy (N,2), + gw_stats, global_stats + """ + X_rows: List[List[float]] = [] + y_floor: List[int] = [] + y_xy: List[List[float]] = [] + meta_xy: List[List[float]] = [] + + gw_stats: Dict[str, GatewayStats] = {gw: GatewayStats(mac=gw) for gw in gateways_order} + + floors_counter: Dict[int, int] = {} + bad_files: int = 0 + missing_cols_files: int = 0 + + expected_cols: Optional[List[str]] = None + + for fp in sample_files: + try: + df = pd.read_csv(fp, sep=";", dtype=str) + except Exception as e: + bad_files += 1 + if verbose: + log(f"TRAIN WARN: cannot read sample file {fp}: {type(e).__name__}: {e}") + continue + + if df.shape[0] < 1: + bad_files += 1 + if verbose: + log(f"TRAIN WARN: empty sample file {fp}") + continue + + row = df.iloc[0].to_dict() + + if verbose: + cols = list(df.columns) + if expected_cols is None: + expected_cols = cols + elif cols != expected_cols: + missing_cols_files += 1 + if missing_cols_files <= 5: + log(f"TRAIN WARN: columns mismatch in {os.path.basename(fp)} (expected {len(expected_cols)} cols, got {len(cols)})") + + x = _safe_float(row.get("x")) + y = _safe_float(row.get("y")) + z = _safe_float(row.get("z")) + if x is None or y is None or z is None: + bad_files += 1 + if verbose: + log(f"TRAIN WARN: missing x/y/z in {fp}") + continue + + z_i = int(round(z)) + floors_counter[z_i] = floors_counter.get(z_i, 0) + 1 + + feats: List[float] = [] + for gw in gateways_order: + v = row.get(gw) + fv = _safe_float(v) + if fv is None: + feats.append(nan_fill) + gw_stats[gw].add(nan_fill, is_missing=True) + else: + feats.append(fv) + gw_stats[gw].add(fv, is_missing=False) + + X_rows.append(feats) + y_floor.append(z_i) + y_xy.append([x, y]) + meta_xy.append([x, y]) + + if not X_rows: + raise RuntimeError("No valid samples found in samples_dir (dataset empty).") + + X = np.asarray(X_rows, dtype=np.float32) + y_floor_arr = np.asarray(y_floor, dtype=np.int32) + y_xy_arr = np.asarray(y_xy, dtype=np.float32) + meta_xy_arr = np.asarray(meta_xy, dtype=np.float32) + + global_stats: Dict[str, Any] = { + "samples_total_files": len(sample_files), + "samples_used": int(X.shape[0]), + "samples_bad": int(bad_files), + "floors_counts": dict(sorted(floors_counter.items(), key=lambda kv: kv[0])), + "missing_cols_files": int(missing_cols_files), + "gateways": int(len(gateways_order)), + "nan_fill": float(nan_fill), + } + + return X, y_floor_arr, y_xy_arr, meta_xy_arr, gw_stats, global_stats + + +def _log_train_stats( + log: Callable[[str], None], + X: np.ndarray, + y_floor: np.ndarray, + y_xy: np.ndarray, + gateways_order: List[str], + nan_fill: float, + gw_stats: Dict[str, GatewayStats], + global_stats: Dict[str, Any], + top_k: int = 8, +) -> None: + """Human-friendly statistics for training runs.""" + log( + "TRAIN stats: " + f"samples_used={global_stats.get('samples_used')} " + f"samples_bad={global_stats.get('samples_bad')} " + f"files_total={global_stats.get('samples_total_files')} " + f"gateways={len(gateways_order)} " + f"floors={list(global_stats.get('floors_counts', {}).keys())}" + ) + if global_stats.get("missing_cols_files", 0): + log(f"TRAIN stats: files_with_column_mismatch={global_stats['missing_cols_files']} (see earlier WARN lines)") + + xs = y_xy[:, 0] + ys = y_xy[:, 1] + log( + "TRAIN stats: XY range " + f"X[min,max]=[{float(np.min(xs)):.2f},{float(np.max(xs)):.2f}] " + f"Y[min,max]=[{float(np.min(ys)):.2f},{float(np.max(ys)):.2f}]" + ) + + miss = int((X == nan_fill).sum()) + total = int(X.size) + miss_pct = (miss / total) * 100.0 if total else 0.0 + log(f"TRAIN stats: feature sparsity missing={miss}/{total} ({miss_pct:.1f}%) using nan_fill={nan_fill}") + + gw_list = list(gw_stats.values()) + gw_list_sorted = sorted(gw_list, key=lambda s: (s.missing_pct(), -s.non_missing), reverse=True) + + worst = gw_list_sorted[: max(1, min(top_k, len(gw_list_sorted)))] + worst_str = " | ".join( + f"{g.mac}: miss={g.missing_pct():.1f}% (seen={g.non_missing}) mean={g.mean():.1f} std={g.std():.1f}" + for g in worst + ) + log(f"TRAIN stats: gateways with highest missing%: {worst_str}") + + best = list(reversed(gw_list_sorted))[: max(1, min(top_k, len(gw_list_sorted)))] + best_str = " | ".join( + f"{g.mac}: miss={g.missing_pct():.1f}% (seen={g.non_missing}) mean={g.mean():.1f} std={g.std():.1f}" + for g in best + ) + log(f"TRAIN stats: gateways with lowest missing%: {best_str}") + + floors = global_stats.get("floors_counts", {}) + if floors: + floor_str = ", ".join(f"z={k}:{v}" for k, v in floors.items()) + log(f"TRAIN stats: floor distribution: {floor_str}") + + +def run_train(settings: Dict[str, Any], log: Optional[Callable[[str], None]] = None) -> None: + """ + Train hierarchical KNN: + - KNeighborsClassifier for floor (Z) + - For each floor, a KNeighborsRegressor for (X,Y) as multioutput + + Model saved with joblib to paths.model (or train.model_path). + """ + if log is None: + def log(msg: str) -> None: + print(msg, flush=True) + + # Build stamp for this module (helps verifying which file is running) + try: + import hashlib + from pathlib import Path + _b = Path(__file__).read_bytes() + log(f"TRAIN_MODE build sha256={hashlib.sha256(_b).hexdigest()[:12]} size={len(_b)}") + except Exception: + pass + + train_cfg = _get(settings, "train", {}) + paths = _get(settings, "paths", {}) + debug = _get(settings, "debug", {}) + + samples_dir = _get(train_cfg, "samples_dir", _get(paths, "samples_dir", "/data/train/samples")) + gateways_csv = _get(train_cfg, "gateways_csv", _get(paths, "gateways_csv", "/data/config/gateway.csv")) + model_path = _get(train_cfg, "model_path", _get(paths, "model", "/data/model/model.joblib")) + + nan_fill = float(_get(train_cfg, "nan_fill", -110.0)) + + k_floor = int(_get(train_cfg, "k_floor", _get(_get(settings, "ml", {}), "k", 7))) + k_xy = int(_get(train_cfg, "k_xy", _get(_get(settings, "ml", {}), "k", 7))) + + weights = str(_get(train_cfg, "weights", _get(_get(settings, "ml", {}), "weights", "distance"))) + metric = str(_get(train_cfg, "metric", _get(_get(settings, "ml", {}), "metric", "euclidean"))) + + verbose = _as_bool(_get(debug, "train_verbose", True), True) + top_k = int(_get(debug, "train_stats_top_k", 8)) + + backup_existing_model = _as_bool(_get(train_cfg, "backup_existing_model", True), True) + + log( + "TRAIN config: " + f"samples_dir={samples_dir} " + f"gateways_csv={gateways_csv} " + f"model_path={model_path} " + f"nan_fill={nan_fill} " + f"k_floor={k_floor} k_xy={k_xy} " + f"weights={weights} metric={metric} " + f"train_verbose={verbose} backup_existing_model={backup_existing_model}" + ) + + # 1) Load gateways definition to know feature order + gws = load_gateway_features_csv(str(gateways_csv)) + gateways_order = [g.mac for g in gws] + if not gateways_order: + raise RuntimeError("No gateways found in gateways_csv (feature-set empty).") + + if verbose: + preview = ", ".join(gateways_order[: min(6, len(gateways_order))]) + log(f"TRAIN: gateways(feature-order)={len(gateways_order)} first=[{preview}{'...' if len(gateways_order) > 6 else ''}]") + + # 2) Collect sample files + sample_files = sorted(glob.glob(os.path.join(samples_dir, "*.csv"))) + if not sample_files: + raise RuntimeError(f"No sample files found in samples_dir={samples_dir}") + + X, y_floor, y_xy, meta_xy, gw_stats, global_stats = _collect_dataset( + sample_files=sample_files, + gateways_order=gateways_order, + nan_fill=nan_fill, + log=log, + verbose=verbose, + ) + + if verbose: + _log_train_stats( + log=log, + X=X, + y_floor=y_floor, + y_xy=meta_xy, + gateways_order=gateways_order, + nan_fill=nan_fill, + gw_stats=gw_stats, + global_stats=global_stats, + top_k=top_k, + ) + + # 3) Fit floor classifier + floor_clf = KNeighborsClassifier( + n_neighbors=k_floor, + weights=weights, + metric=metric, + ) + floor_clf.fit(X, y_floor) + + # 4) Fit per-floor XY regressors (multioutput) + models_xy: Dict[int, Any] = {} + floors = sorted(set(int(z) for z in y_floor.tolist())) + for z in floors: + idx = np.where(y_floor == z)[0] + Xz = X[idx, :] + yz = y_xy[idx, :] # (N,2) + reg = KNeighborsRegressor( + n_neighbors=k_xy, + weights=weights, + metric=metric, + ) + reg.fit(Xz, yz) + models_xy[int(z)] = reg + + if verbose: + xs = yz[:, 0] + ys = yz[:, 1] + log( + f"TRAIN: floor z={z} samples={int(len(idx))} " + f"Xrange=[{float(np.min(xs)):.1f},{float(np.max(xs)):.1f}] " + f"Yrange=[{float(np.min(ys)):.1f},{float(np.max(ys)):.1f}]" + ) + + model = { + "type": "hier_knn_floor_xy", + "gateways_order": gateways_order, + "nan_fill": nan_fill, + "k_floor": k_floor, + "k_xy": k_xy, + "weights": weights, + "metric": metric, + "floor_clf": floor_clf, + "xy_by_floor": models_xy, + "floors": floors, + } + + os.makedirs(os.path.dirname(model_path), exist_ok=True) + + # Backup previous model (così inferenza può continuare ad usare una versione nota) + backup_path = None + if backup_existing_model and os.path.exists(model_path): + root, ext = os.path.splitext(model_path) + ts = int(time.time()) + # evita collisioni se lanci due train nello stesso secondo + for bump in range(0, 1000): + cand = f"{root}_{ts + bump}{ext}" + if not os.path.exists(cand): + backup_path = cand + break + try: + if backup_path: + os.replace(model_path, backup_path) + log(f"TRAIN: previous model moved to {backup_path}") + except Exception as e: + log(f"TRAIN WARNING: cannot backup previous model {model_path}: {type(e).__name__}: {e}") + + # Metadata utile (tipo 'modinfo' minimale) + model["created_at_utc"] = datetime.utcnow().replace(microsecond=0).isoformat() + "Z" + model["sklearn_version"] = getattr(sklearn, "__version__", "unknown") + model["numpy_version"] = getattr(np, "__version__", "unknown") + + joblib.dump(model, model_path) + + log( + f"TRAIN DONE: model saved to {model_path} " + f"(samples={int(X.shape[0])}, gateways={len(gateways_order)}, floors={len(floors)})" + ) diff --git a/app/web_beacon.py b/app/web_beacon.py new file mode 100644 index 0000000..734c174 --- /dev/null +++ b/app/web_beacon.py @@ -0,0 +1,88 @@ +import streamlit as st +import pandas as pd +import os + +def load_beacons(file_path, delimiter): + """Carica i beacon dal file CSV utilizzando il delimitatore configurato.""" + if not os.path.exists(file_path): + return pd.DataFrame(columns=["BeaconName", "MAC"]) + try: + return pd.read_csv(file_path, sep=delimiter) + except Exception: + return pd.DataFrame(columns=["BeaconName", "MAC"]) + +def save_beacons(file_path, df, delimiter): + """Salva i beacon su CSV con il separatore corretto e crea le cartelle se necessario.""" + folder = os.path.dirname(file_path) + if folder and not os.path.exists(folder): + os.makedirs(folder, exist_ok=True) + df.to_csv(file_path, index=False, sep=delimiter) + +def show_beacon_manager(config): + st.subheader("🏷️ Gestione Anagrafica Beacon") + + # Recupero parametri dalla gerarchia paths del config.yaml + paths_cfg = config.get("paths", {}) + beacons_file = paths_cfg.get("beacons_csv", "/data/config/beacons.csv") + delimiter = paths_cfg.get("csv_delimiter", ";") + + # Caricamento dati + df = load_beacons(beacons_file, delimiter) + + # --- SEZIONE AGGIUNTA --- + with st.expander("➕ Aggiungi Nuovo Beacon", expanded=len(df) == 0): + col1, col2 = st.columns(2) + with col1: + name = st.text_input("Nome Beacon (es. BC-21)") + with col2: + mac = st.text_input("Indirizzo MAC (es. C3:00:00:57:B9:E6)") + + if st.button("REGISTRA BEACON"): + if name and mac: + mac = mac.strip().upper() + if mac in df['MAC'].values: + st.error("Errore: Questo MAC è già presente in lista.") + else: + new_line = pd.DataFrame([{"BeaconName": name, "MAC": mac}]) + df = pd.concat([df, new_line], ignore_index=True) + save_beacons(beacons_file, df, delimiter) + st.success(f"Beacon {name} registrato correttamente!") + st.rerun() + else: + st.warning("Inserisci sia il Nome che il MAC address.") + + # --- SEZIONE VISUALIZZAZIONE E MODIFICA --- + if not df.empty: + st.markdown("---") + st.write("### Lista Beacon") + st.info("💡 Puoi modificare i nomi o i MAC direttamente cliccando nelle celle della tabella e poi cliccare su SALVA.") + + # Editor interattivo per modifiche "al volo" + edited_df = st.data_editor( + df, + use_container_width=True, + hide_index=True, + column_config={ + "BeaconName": st.column_config.TextColumn("Nome Beacon", help="Nome identificativo", required=True), + "MAC": st.column_config.TextColumn("Indirizzo MAC", help="Formato AA:BB:CC...", required=True) + } + ) + + # Controllo se ci sono state modifiche + if not edited_df.equals(df): + if st.button("💾 SALVA MODIFICHE TABELLA"): + save_beacons(beacons_file, edited_df, delimiter) + st.success("Anagrafica aggiornata!") + st.rerun() + + # --- SEZIONE ELIMINAZIONE --- + st.markdown("---") + st.subheader("Elimina Beacon") + to_del = st.selectbox("Seleziona il beacon da rimuovere:", df['BeaconName'].tolist()) + if st.button("🗑️ ELIMINA SELEZIONATO"): + df = df[df['BeaconName'] != to_del] + save_beacons(beacons_file, df, delimiter) + st.success(f"Beacon {to_del} rimosso.") + st.rerun() + else: + st.info("Nessun beacon configurato. Inserisci il primo beacon per creare il file.") diff --git a/app/web_gateway.py b/app/web_gateway.py new file mode 100644 index 0000000..900a65a --- /dev/null +++ b/app/web_gateway.py @@ -0,0 +1,48 @@ +import streamlit as st +import pandas as pd +import os + +def show_gateway_manager(config): + # Recupera il percorso dal config.yaml, con fallback + # Nota: cerchiamo sia sotto 'infer' che 'collect_train' se necessario + csv_path = config.get('infer', {}).get('gateways_csv', '/data/config/gateway.csv') + + st.subheader("🌐 Gestione Gateway (gateway.csv)") + st.info(f"Percorso file: `{csv_path}`") + + if not os.path.exists(csv_path): + st.error("Il file gateway.csv non è stato trovato al percorso specificato.") + if st.button("Crea file vuoto"): + df_new = pd.DataFrame(columns=["Position", "Floor", "RoomName", "X", "Y", "Z", "GatewayName", "MAC"]) + df_new.to_csv(csv_path, sep=';', index=False) + st.rerun() + return + + # Caricamento del CSV + try: + # Usiamo il separatore ';' come da tuo esempio + df = pd.read_csv(csv_path, sep=';', dtype=str) + except Exception as e: + st.error(f"Errore nel caricamento del CSV: {e}") + return + + # Interfaccia di editing + st.write("Modifica i dati direttamente nella tabella qui sotto:") + edited_df = st.data_editor( + df, + num_rows="dynamic", + use_container_width=True, + key="gateway_editor" + ) + + col1, col2 = st.columns([1, 5]) + with col1: + if st.button("💾 Salva Gateway"): + try: + edited_df.to_csv(csv_path, sep=';', index=False) + st.success("File gateway.csv salvato con successo!") + except Exception as e: + st.error(f"Errore durante il salvataggio: {e}") + + with col2: + st.caption("Nota: L'aggiunta di righe avviene cliccando sull'ultima riga vuota della tabella.") diff --git a/app/web_inference.py b/app/web_inference.py new file mode 100644 index 0000000..4799acf --- /dev/null +++ b/app/web_inference.py @@ -0,0 +1,100 @@ +import streamlit as st +import pandas as pd +import json +from PIL import Image, ImageDraw, ImageFont +from pathlib import Path +import time +import os + +def show_inference_page(cfg): + # Definizione percorsi + # Assumendo che il file sia in /app/app/web_inference.py, + # cerchiamo il font nella stessa cartella 'app' + BASE_DIR = Path(__file__).parent + MAPS_DIR = Path(cfg['maps']['map_dir']) + INFER_FILE = Path(cfg['infer']['output_dir']) / cfg['infer']['out_file'] + + # Percorso del font locale + FONT_PATH = BASE_DIR / "DejaVuSans-Bold.ttf" + + st.subheader("🤖 Monitoraggio Inferenza Live") + + # --- CONTROLLI NEL TAB --- + with st.expander("🎨 Opzioni e Controllo", expanded=True): + col_ctrl1, col_ctrl2, col_ctrl3, col_ctrl4 = st.columns(4) + with col_ctrl1: + dot_size = st.slider("Dimensione Marker", 10, 100, 45, key="inf_dot") + with col_ctrl2: + refresh_rate = st.select_slider("Refresh (s)", options=[2, 5, 10, 30], value=5, key="inf_ref") + with col_ctrl3: + show_labels = st.checkbox("Mostra MAC", value=True, key="inf_show_mac") + with col_ctrl4: + # Monitoraggio disattivato di default per evitare login fantasma + auto_refresh = st.toggle("🔄 Monitoraggio Attivo", value=False, key="inf_auto") + + floor_id = st.number_input("Piano (Z)", value=0, min_value=0, step=1, key="inf_z") + + # Caricamento Metadati + meta_path = MAPS_DIR / f"{cfg['maps']['meta_prefix']}{floor_id}.json" + meta = {"pixel_ratio": 1.0, "origin": [0, 0]} + if meta_path.exists(): + with open(meta_path, "r") as f: + meta.update(json.load(f)) + + try: + if INFER_FILE.exists(): + df = pd.read_csv(INFER_FILE, sep=";") + df_active = df[(df['z'] == floor_id) & (df['x'] != -1) & (df['y'] != -1)] + + img_path = MAPS_DIR / f"{cfg['maps']['floor_prefix']}{floor_id}.png" + if img_path.exists(): + img = Image.open(img_path).convert("RGBA") + draw = ImageDraw.Draw(img) + + # --- GESTIONE FONT XL --- + # Dimensione proporzionale al pallino (1.5x) + dynamic_font_size = int(dot_size * 1.5) + + font = None + if FONT_PATH.exists(): + try: + # Tenta il caricamento del file TTF locale + font = ImageFont.truetype(str(FONT_PATH), dynamic_font_size) + except Exception as e: + # Se il file è corrotto (unknown file format), mostra errore e usa fallback + st.error(f"Errore caricamento font: {e}. Controlla il file DejaVuSans-Bold.ttf") + + if font is None: + font = ImageFont.load_default() + + for _, row in df_active.iterrows(): + px_x = (row['x'] * meta["pixel_ratio"]) + meta["origin"][0] + px_y = (row['y'] * meta["pixel_ratio"]) + meta["origin"][1] + + r = dot_size + # Disegno Marker + draw.ellipse([px_x-(r+5), px_y-(r+5), px_x+(r+5), px_y+(r+5)], fill="black") + draw.ellipse([px_x-r, px_y-r, px_x+r, px_y+r], fill="#00E5FF") + + if show_labels: + label = f"{str(row['mac'])[-5:]}" + # Posizionamento dinamico a destra del pallino + text_x = px_x + r + 20 + text_y = px_y - (dynamic_font_size / 2) + + # Outline per leggibilità (bordo nero spesso 3px) + for dx, dy in [(-3,-3), (3,-3), (-3,3), (3,3), (0,-3), (0,3), (-3,0), (2,0)]: + draw.text((text_x + dx, text_y + dy), label, font=font, fill="black") + + # Testo Giallo + draw.text((text_x, text_y), label, font=font, fill="#FFFF00") + + st.image(img, use_column_width=True) + st.metric("Dispositivi Online", len(df_active)) + except Exception as e: + st.error(f"Errore generale: {e}") + + # --- REFRESH CONDIZIONALE --- + if auto_refresh: + time.sleep(refresh_rate) + st.rerun() diff --git a/app/web_status.py b/app/web_status.py new file mode 100644 index 0000000..f76927a --- /dev/null +++ b/app/web_status.py @@ -0,0 +1,128 @@ +import streamlit as st +import pandas as pd +import psutil +import os +import time +import json +import paho.mqtt.client as mqtt +import requests + +def get_system_metrics(): + """Recupera statistiche hardware del server.""" + return { + "cpu": psutil.cpu_percent(interval=None), + "ram": psutil.virtual_memory().percent, + "disk": psutil.disk_usage('/').percent, + "net_recv": psutil.net_io_counters().bytes_recv / (1024**2) + } + +def get_api_data(cfg, sec): + """Fetch reale dei beacon dalle API OIDC.""" + if not sec or 'oidc' not in sec: + return None, "Segreti mancanti" + try: + auth_res = requests.post( + cfg['api']['token_url'], + data={ + "grant_type": "password", + "client_id": cfg['api']['client_id'], + "client_secret": sec['oidc']['client_secret'], + "username": sec['oidc']['username'], + "password": sec['oidc']['password'], + }, + verify=cfg['api'].get('verify_tls', False), + timeout=5 + ) + token = auth_res.json().get("access_token") + res = requests.get( + cfg['api']['get_beacons_url'], + headers={"Authorization": f"Bearer {token}"}, + verify=cfg['api'].get('verify_tls', False), + timeout=5 + ) + return res.json(), "OK" + except Exception as e: + return None, str(e) + +def show_system_status(cfg, sec=None): + st.title("🛰️ Diagnostica & Sniffer") + + # --- 1. RISORSE DI SISTEMA --- + st.subheader("🖥️ Risorse Hardware") + m = get_system_metrics() + c1, c2, c3, c4 = st.columns(4) + c1.metric("CPU", f"{m['cpu']}%") + c2.metric("RAM", f"{m['ram']}%") + c3.metric("Disco", f"{m['disk']}%") + c4.metric("Rete", f"{m['net_recv']:.1f} MB") + + st.divider() + + # --- 2. CONNETTIVITÀ & DATI API --- + st.subheader("🔌 Connettività & API") + col_api, col_mq = st.columns(2) + + with col_api: + st.markdown("**Server API OIDC**") + beacons_api_data, api_msg = get_api_data(cfg, sec) + if beacons_api_data: + st.success(f"✅ Connesso ({len(beacons_api_data)} beacon)") + with st.expander("Visualizza Tabella Dati API"): + # Mostriamo i dati API in una tabella senza scroll eccessivo + df_api = pd.DataFrame(beacons_api_data) + st.table(df_api.head(10)) + else: + st.error(f"❌ Errore: {api_msg}") + + with col_mq: + st.markdown("**Broker MQTT**") + mq_host = cfg.get('mqtt', {}).get('host', '127.0.0.1') + st.info(f"Host: `{mq_host}`") + st.success("✅ Configurazione Caricata") + + st.divider() + + # --- 3. SNIFFER DATI MQTT --- + st.subheader("🎯 Sniffer Real-Time") + st.caption("Inserisci un MAC per intercettare il traffico live (10 secondi)") + + target_mac = st.text_input("MAC da sniffare (es. ac233fc1dd49)", "").lower().replace(":", "") + + if st.button("🚀 AVVIA CATTURA", use_container_width=True, type="primary"): + if not target_mac: + st.warning("Inserisci un MAC prima di iniziare.") + else: + captured = [] + def on_message(client, userdata, message): + payload = message.payload.decode() + topic = message.topic + if target_mac in topic.lower() or target_mac in payload.lower(): + captured.append({ + "Ora": time.strftime("%H:%M:%S"), + "Topic": topic, + "Dati": payload[:100] + "..." # Accorciamo per la tabella + }) + + client = mqtt.Client(client_id=f"Sniffer_{int(time.time())}") + try: + client.on_message = on_message + client.connect(cfg['mqtt']['host'], cfg['mqtt']['port'], 60) + client.subscribe("#") + client.loop_start() + + with st.status("Cattura in corso...") as status: + progress = st.progress(0) + for i in range(100): + time.sleep(0.1) + progress.progress(i + 1) + client.loop_stop() + status.update(label="Cattura completata!", state="complete") + + if captured: + st.success(f"Intercettati {len(captured)} messaggi per `{target_mac}`") + # Usiamo st.table per evitare le slidebar (renderizza tutto il contenuto) + st.table(pd.DataFrame(captured)) + else: + st.warning("Nessun messaggio trovato. Controlla che il dispositivo sia acceso.") + except Exception as e: + st.error(f"Connessione fallita: {e}") diff --git a/app/web_suite.py b/app/web_suite.py new file mode 100644 index 0000000..662d3c3 --- /dev/null +++ b/app/web_suite.py @@ -0,0 +1,181 @@ +import streamlit as st +import yaml +import subprocess +import os +import web_status # Nuovo modulo + +# --- COSTANTI E UTILS (Invariati) --- +CONFIG_PATH = os.environ.get("CONFIG") or os.environ.get("CONFIG_FILE") or "/config/config.yaml" +SECRETS_PATH = os.environ.get("SECRETS_FILE") or "/config/secrets.yaml" +LOG_FILE = "/tmp/main_process.log" +STATE_FILE = "/data/.web_state" + +def load_yaml(path): + if not os.path.exists(path): return {} + with open(path, 'r') as f: return yaml.safe_load(f) or {} + +def save_yaml(path, data): + with open(path, 'w') as f: yaml.dump(data, f, default_flow_style=False) + +cfg = load_yaml(CONFIG_PATH) + +# --- CONFIGURAZIONE PAGINA E MENU ABOUT --- +st.set_page_config( + page_title="BLE Localizer Manager", + layout="wide", + initial_sidebar_state="auto", + menu_items={ + 'Get Help': None, + 'Report a bug': None, + 'About': "# ▒~_~[▒▒~O BLE AI Localizer - Suite\nSistema professionale di posizionamento BLE." + } +) + +st.title("🛰️ BLE AI Localizer - Suite") # Forza il titolo qui + +# --- CSS OTTIMIZZATO (Sidebar Fina + Mobile) --- +st.markdown(""" + + """, unsafe_allow_html=True) + +# --- LOGIN (Tua versione originale) --- +if "password_correct" not in st.session_state: + st.session_state["password_correct"] = False + +if not st.session_state["password_correct"]: + user = st.text_input("Username", key="main_login_user") + pw = st.text_input("Password", type="password", key="main_login_pw") + if st.button("ACCEDI"): + if user == os.environ.get("UI_USER", "admin") and pw == os.environ.get("UI_PASSWORD", "password"): + st.session_state["password_correct"] = True + st.rerun() + else: st.error("Credenziali errate") + st.stop() + +# Import moduli dopo login +from map_manager import show_mapper +from web_gateway import show_gateway_manager +from web_beacon import show_beacon_manager +import web_training_data +import web_inference + +def is_proc_alive(): + return st.session_state.get('proc') is not None and st.session_state.proc.poll() is None + +# Auto-riavvio (Tua logica) +if os.path.exists(STATE_FILE): + with open(STATE_FILE, "r") as f: + if f.read().strip() == "running" and not is_proc_alive(): + log_out = open(LOG_FILE, "a") + st.session_state.proc = subprocess.Popen( + ["python", "-u", "-m", "app.main"], + env={**os.environ, "PYTHONUNBUFFERED": "1", "CONFIG": CONFIG_PATH}, + stdout=log_out, stderr=subprocess.STDOUT, text=True + ) + +# --- SIDEBAR --- +with st.sidebar: + st.header("Stato Sistema") + alive = is_proc_alive() + if not alive: + if st.button("▶️ AVVIA MAIN"): + if os.path.exists(LOG_FILE): os.remove(LOG_FILE) + st.session_state.proc = subprocess.Popen( + ["python", "-u", "-m", "app.main"], + env={**os.environ, "PYTHONUNBUFFERED": "1", "CONFIG": CONFIG_PATH}, + stdout=open(LOG_FILE, "w"), stderr=subprocess.STDOUT, text=True + ) + with open(STATE_FILE, "w") as f: f.write("running") + st.rerun() + else: + if st.button("⏹️ FERMA MAIN"): + st.session_state.proc.terminate() + st.session_state.proc = None + with open(STATE_FILE, "w") as f: f.write("stopped") + st.rerun() + + st.write(f"Stato: {':green[Running]' if alive else ':red[Stopped]'}") + st.write(f"Modo: **{cfg.get('mode', 'N/D').upper()}**") + if st.button("LOGOUT"): + st.session_state["password_correct"] = False + st.rerun() + + st.divider() + st.caption("🚦 LIVE STATUS") + c1, c2, c3 = st.columns(3) + c1.markdown("`MQTT` 🟢") + c2.markdown("`GWs` 🟢") + c3.markdown("`API` 🟢") + +# --- TABS (Incluso il nuovo tab Stato) --- +tab_log, tab_cfg, tab_sec, tab_gw, tab_beac, tab_map, tab_data, tab_infer, tab_status = st.tabs([ + "📜 Log", "⚙️ Config", "🔑 Secrets", "🌐 Gateway", "🏷️ Beacon", "🗺️ Mappa", "📂 Dati", "🤖 Inferenza", "🖥️ Stato" +]) + +with tab_status: + import web_status + # Carica i segreti e passali alla funzione + sec_data = load_yaml(SECRETS_PATH) + web_status.show_system_status(cfg, sec_data) + +with tab_cfg: + # RIPRISTINATA TUTTA LA TUA LOGICA ORIGINALE + c_cfg = load_yaml(CONFIG_PATH) + st.subheader("🚀 Stato Operativo") + mode_options = ["infer", "train", "collect_train"] + new_mode = st.selectbox("Modalità:", mode_options, index=mode_options.index(c_cfg.get('mode', 'infer'))) + + with st.expander("📊 Parametri Raccolta Dati", expanded=True): + p_cfg = c_cfg.get('collect_train', {}) + col_a, col_b = st.columns(2) + win_sec = col_a.number_input("Finestra (sec)", value=int(p_cfg.get('window_seconds', 30))) + min_gw = col_a.number_input("Min. Gateway", value=int(p_cfg.get('min_non_nan', 3))) + rssi_min = col_b.slider("RSSI Min", -120, -50, int(p_cfg.get('rssi_min', -110))) + rssi_max = col_b.slider("RSSI Max", -40, 0, int(p_cfg.get('rssi_max', -25))) + outlier = col_b.selectbox("Outlier", ["mad", "iqr", "none"], index=0) + + with st.expander("📡 MQTT & 🌐 API", expanded=False): + m_cfg = c_cfg.get('mqtt', {}) + mq_host = st.text_input("Broker", value=m_cfg.get('host', '127.0.0.1')) + mq_port = st.number_input("Porta", value=int(m_cfg.get('port', 1883))) + a_cfg = c_cfg.get('api', {}) + t_url = st.text_input("Token URL", value=a_cfg.get('token_url', '')) + v_tls = st.checkbox("Verify TLS", value=a_cfg.get('verify_tls', False)) + + with st.expander("🛠️ Expert Mode (YAML)", expanded=False): + cfg_text = st.text_area("Edit manuale", yaml.dump(c_cfg), height=300) + + if st.button("💾 SALVA TUTTO"): + try: + final_cfg = yaml.safe_load(cfg_text) + final_cfg['mode'] = new_mode + # Aggiorna con i valori dei widget per sicurezza + if 'collect_train' not in final_cfg: final_cfg['collect_train'] = {} + final_cfg['collect_train'].update({'window_seconds': win_sec, 'rssi_min': rssi_min}) + save_yaml(CONFIG_PATH, final_cfg) + st.success("Salvato!") + except Exception as e: st.error(e) + +with tab_sec: + sec = load_yaml(SECRETS_PATH) + sec_edit = st.text_area("Secrets YAML", yaml.dump(sec), height=200) + if st.button("SALVA SECRETS"): + save_yaml(SECRETS_PATH, yaml.safe_load(sec_edit)) + st.success("ApiToken salvati!") + +with tab_log: + if os.path.exists(LOG_FILE): + with open(LOG_FILE, "r") as f: st.code("".join(f.readlines()[-50:])) + if st.button("🔄 AGGIORNA LOG"): st.rerun() + +with tab_map: show_mapper(cfg) +with tab_gw: show_gateway_manager(load_yaml(CONFIG_PATH)) +with tab_beac: show_beacon_manager(load_yaml(CONFIG_PATH)) +with tab_data: web_training_data.show_training_data_manager(cfg) +with tab_infer: web_inference.show_inference_page(cfg) diff --git a/app/web_training_data.py b/app/web_training_data.py new file mode 100644 index 0000000..905e4aa --- /dev/null +++ b/app/web_training_data.py @@ -0,0 +1,72 @@ +import streamlit as st +import os +import pandas as pd +from pathlib import Path +import time +from datetime import datetime + +def show_training_data_manager(cfg): + st.subheader("📂 Gestione Campioni Training") + + try: + raw_path = cfg.get('collect_train', {}).get('samples_dir', '/data/train/samples') + samples_dir = Path(raw_path) + except Exception as e: + st.error(f"Errore config: {e}") + return + + # --- 1. RECUPERO E FILTRO DATI --- + all_files = [f for f in os.listdir(samples_dir) if f.endswith('.csv')] + files_data = [] + + for file in all_files: + path = samples_dir / file + ts = os.path.getmtime(path) + files_data.append({ + "File": file, + "Data": datetime.fromtimestamp(ts).strftime("%Y-%m-%d %H:%M"), + "ts": ts + }) + + df = pd.DataFrame(files_data).sort_values("ts", ascending=False) + + # Barra di ricerca + search = st.text_input("🔍 Cerca coordinata:", "").strip().lower() + if search: + df = df[df['File'].str.lower().str.contains(search)] + + # --- 2. VISUALIZZAZIONE COMPATTA (SENZA TREMOLIO) --- + # Usiamo le colonne per restringere la tabella al centro + col_tab, col_empty = st.columns([3, 1]) + + with col_tab: + # st.table non ha scrollbar e non ha interazioni JS che causano tremolio + st.table(df[["File", "Data"]].head(20)) + + st.divider() + + # --- 3. AZIONI --- + st.markdown("### 🛠️ Azioni") + selected = st.selectbox("Seleziona file per operare:", df["File"].tolist()) + + if selected: + file_path = samples_dir / selected + c1, c2, c3 = st.columns([1,1,1]) + + with c1: + if st.button("👁️ Dettagli", use_container_width=True): + content = pd.read_csv(file_path, sep=";") + st.markdown(f"**Dati di `{selected}`**") + st.table(content.T.reset_index().rename(columns={'index': 'AP', 0: 'RSSI'})) + + with c2: + with open(file_path, "rb") as f: + st.download_button("📥 Scarica", f, file_name=selected, use_container_width=True) + + with c3: + if st.button("🗑️ Elimina", use_container_width=True, type="primary"): + os.remove(file_path) + st.rerun() + + # Stats discrete in sidebar + st.sidebar.caption(f"Totale campioni: {len(all_files)}") diff --git a/config/config.yaml b/config/config.yaml new file mode 100644 index 0000000..b66afb7 --- /dev/null +++ b/config/config.yaml @@ -0,0 +1,113 @@ +api: + audience: Fastapi + client_id: Fastapi + get_beacons_url: https://10.251.0.30:5050/reslevis/getTrackers + get_gateways_url: https://10.251.0.30:5050/reslevis/getGateways + refresh_seconds: 30 + timeout_s: 10.0 + token_url: https://10.251.0.30:10002/realms/API.Server.local/protocol/openid-connect/token + verify_tls: false +collect_train: + aggregate: median + gateway_ready_check_before_job: true + gateway_ready_log_seconds: 10 + gateway_ready_max_age_seconds: 30 + iqr_k: 1.5 + job_glob: '*.csv' + jobs_dir: /data/train/jobs + mad_z: 3.5 + max_stddev: 8 + min_non_nan: 3 + min_samples_per_gateway: 5 + outlier_method: mad + poll_seconds: 2 + rssi_decimals: 3 + rssi_max: -25 + rssi_min: -110 + samples_dir: /data/train/samples + window_seconds: 30 +debug: + collect_train_log_every_seconds: 10 + collect_train_log_first_seen: true + collect_train_log_samples: true + csv: true + dump_beacons_api: true + dump_gateways_api: true + enabled: true + log_each_mqtt_message: false + log_inference_detail: true + log_mqtt_raw: false + monitor_online: true + offline_after_seconds_beacons: 240 + offline_after_seconds_gateways: 90 + online_check_seconds: 30 + show_library_warnings: false + target_mac: '' + timezone: Europe/Rome + train_stats_top_k: 8 + train_verbose: true +infer: + aggregate: median + gateways_csv: /data/config/gateway.csv + include_mac: true + mad_z: 3.5 + model_path: /data/model/model.joblib + nan_fill: -110 + out_file: infer.csv + outlier_method: mad + output_dir: /data/infer + output_format: csv + refresh_seconds: 10 + rssi_max: -25 + rssi_min: -110 + window_seconds: 5 + xy_round: 0 +maps: + floor_prefix: floor_ + map_dir: /data/maps + meta_prefix: meta_ + default_grid_size: 100 # Dimensione griglia predefinita in cm + default_dot_size: 20 # Dimensione predefinita dei marker + show_grid_default: true # Stato iniziale della griglia +ml: + k: 5 + method: knn + metric: euclidean + weights: distance +mode: infer +mqtt: + ca_file: '' + client_id: ble-ai-localizer + host: 192.168.1.101 + keepalive: 60 + password: '' + port: 1883 + protocol: mqttv311 + qos: 0 + tls: false + topic: publish_out/# + username: '' + verify_tls: false +paths: + beacons_csv: /data/config/beacons.csv + csv_delimiter: ; + dataset: /data/fingerprint.parquet + gateways_csv: /data/config/gateway.csv +train: + backup_existing_model: true + gateways_csv: /data/config/gateway.csv + knn: + cv: + enabled: false + folds: 5 + k_max: 15 + k_min: 3 + k: 5 + metric: euclidean + weights: distance + model_path: /data/model/model.joblib + nan_fill: -110 + sample_glob: '*.csv' + samples_dir: /data/train/samples +ui: + font_path: /app/DejaVuSans-Bold.ttf diff --git a/config/secrets.yaml b/config/secrets.yaml new file mode 100644 index 0000000..a8d4ac3 --- /dev/null +++ b/config/secrets.yaml @@ -0,0 +1,4 @@ +oidc: + client_secret: "wojuoB7Z5xhlPFrF2lIxJSSdVHCApEgC" + username: "core" + password: "C0r3_us3r_Cr3d3nt14ls" diff --git a/data/.web_state b/data/.web_state new file mode 100644 index 0000000..61d5e33 --- /dev/null +++ b/data/.web_state @@ -0,0 +1 @@ +running \ No newline at end of file diff --git a/data/config/beacons.csv b/data/config/beacons.csv new file mode 100755 index 0000000..68c58dd --- /dev/null +++ b/data/config/beacons.csv @@ -0,0 +1,6 @@ +BeaconName;MAC +BC-21;C3:00:00:57:B9:E6 +BC-22;C3:00:00:57:B9:D4 +BC-23;C3:00:00:57:B9:E8 +BC-24;C3:00:00:57:B9:F1 +BC-25;C3:00:00:57:B9:E7 diff --git a/data/config/gateway.csv b/data/config/gateway.csv new file mode 100755 index 0000000..aba12f8 --- /dev/null +++ b/data/config/gateway.csv @@ -0,0 +1,17 @@ +Position;Floor;RoomName;X;Y;Z;GatewayName;MAC +C01;0;PT-MAGA;220;250;0;GU-01;ac:23:3f:c1:dd:3c +C02;0;PT-FORM;825;745;0;GU-02;ac:23:3f:c1:dd:49 +C03;0;PT-LVNS;825;1435;0;GU-03;ac:23:3f:c1:dc:ee +C04;0;PT-RECE;2010;620;0;GU-04;ac:23:3f:c1:dd:40 +C05;0;PT-AMMI;1785;1260;0;GU-05;ac:23:3f:c1:dd:51 +C06;0;PT-PROD;2720;1220;0;GU-06;ac:23:3f:c1:dd:48 +C07;0;PT-BATH;2800;655;0;GU-07;ac:23:3f:c1:dd:50 +C08;0;PT-MENS;2580;490;0;GU-08;ac:23:3f:c1:dc:d3 +C09;1;P1-AMOR;900;50;1;GU-09;ac:23:3f:c1:dd:55 +C10;1;P1-NETW;1310;1440;1;GU-10;ac:23:3f:c1:dc:d1 +C11;1;P1-DINO;1662;480;1;GU-11;ac:23:3f:c1:dc:cb +C12;1;P1-COMM;1575;1455;1;GU-12;ac:23:3f:c1:dc:d2 +C13;1;P1-SOFT;2290;965;1;GU-13;ac:23:3f:c1:dd:31 +C14;1;P1-CUCO;2860;1120;1;GU-14;ac:23:3f:c1:dd:4b +C15;1;P1-BATH;2740;710;1;GU-15;ac:23:3f:c1:dd:4e +C16;1;P1-RIUN;2180;355;1;GU-16;ac:23:3f:c1:dc:cd diff --git a/data/infer/infer.csv b/data/infer/infer.csv new file mode 100644 index 0000000..8b87038 --- /dev/null +++ b/data/infer/infer.csv @@ -0,0 +1,13 @@ +mac;z;x;y +C8:3F:8F:17:DB:35;1;1061;1290 +C3:00:00:39:47:DF;-1;-1;-1 +C3:00:00:39:47:C4;1;1386;1501 +C3:00:00:39:47:E2;-1;-1;-1 +C7:AE:56:1E:38:B7;1;1311;1501 +E0:1F:9A:7A:47:D2;-1;-1;-1 +C3:00:00:57:B9:D9;1;1060;1380 +C3:00:00:57:B9:DB;1;1056;1383 +C3:00:00:57:B9:F4;1;1061;1292 +C3:00:00:57:B9:DC;1;1060;1294 +C3:00:00:57:B9:DD;1;1216;1444 +C3:00:00:57:B9:DF;1;1059;1296 diff --git a/data/maps/floor_0.png b/data/maps/floor_0.png new file mode 100644 index 0000000000000000000000000000000000000000..7298494fe743ca529c0bdcd1c836b1f8cdc25c81 GIT binary patch literal 541161 zcmeFZcRbZ^_&9u8^hwfCHkBk>G9%iug~(o^>{0eOr4S*6Y?68Gy&VbJ*_&f$uk7`_ z&%qf!j?eRazrW}8{PUbYoO@jNbzS#$U+cc!Z|9?=xFG&1(o-N12w&*QLn#pGvKI(+ zzVzf#V8rH%b`IzW2qg6Io{VMiWKV-PgfSf?xjJ63&0xkHz4b-$+|#Fu$`cy&H;mN7`0>M5gxZW;Eo-K_&$H6(B=6gNl z(~K--e1?*%Zr7z>JlWYeSQduTMEQ0ehv1JG*jtQpalWw$&|rN#a10A{PK|>FE|xiv z@i7iEEOTHMsdQ|6TeRO|t8Xx9cC5J@GI05Cbr4x>4H2$z$Tm$!Q2waQj08Uf$((xp>ZA7rxs zl8W%M=I|18=gKsqOG{h(Q*`elnP^5vUxRj2Bon?Yog3V7{reL${#iIj?grHVqV&Qs zwEJce~ZscyYdzGuxhgY(} zK1^?%oOF4@5}Di}4E(n}3bqoWlD1^ZGYPk)91|bhFz5J~(iq-r-_&WrmGtvBH;K8Z z@2a?dpY3y6n)ILStrjh z8q_zCpLtQ?l4Mn7;@c!QXI{;d(mR^Md9jPPFRyHg!tQt7>-`%97Y+Rdxs3d=;t?Xn zgF0_En)Fhf1c8jxHR!xjP3~`tP&+D{W&c&KgXKB-RgcQUPk4DSTt)I`S zk;{wRF5lo4dGMr#+{}t6{kcg$cR`i++=H?%2p-_EUk-)Q0rctyi|bbWih@HJr@-#A54CPMjQOxHPT0=K+AvBuqMd(u4Rv#6HU`f)?mr;lv(gT|Z4 zCkqO*m#!=aE-9{?rWM!6hg>`RwR}g zL^z|a%b(Kb&=Is_@;%P5Fe)4G-JG8o^NHj!hsb!U!Kr*LMv;<)>ml;iFW(fD6_=V8 zh0c|CbQ)+~bnqeyy67+Wqw6*_ku05`U_wGZ@8(CHihHTIBRdJAs;=pW$t-N<+i$I!kF@E-hdzim$(acw_eC9RQaaGnt`->dY-{-pr z@?6zxX6((|W~~=l&dPb#wy=C)sHaF~V6pX4S@pAezV*$)-lDfd`-b)e6VeR!=Ydz4Hk)nQn{T0?fA_ai0_E!h^L*{_q(S1Z zi|DDK#>ciDx>r5@oXy$0YQ-o2sL}hCPqIEx6c0$$Q>D01RCbzIkvBj`as5qusN}0m ztthc!I>_B(3_A7c$ai=Qr z4t54vIeZXQs9@%3CyyowbcD%nOQ}G4`?dArM9{Q@v-_e9r=8AI+t67?$YMKNk z8<+}3(%aAt>mfBG_~5LPFW+@gN~K5l9rxNLCMDq$&t^uS7)DwX`)V(4d49*yBmdq&_V1yMfbN#;h*eg;LbkIOiRLk4mkr*aD^EMFb(JQkbH$e))nZao+! zLBwFd`9{$}cKFz6RQUpJYnvj;(>cSa`WAv$qelqv!a!|QJlXd-=(g_d|#bRJ`?GupREL#E^1_LB?_3lj7__>C8gG@ zuBld9Jp7Jcq_cu!CW39ls@<2V&oWX=ki~8=eNiN-+>lI8VWyyPczVl|FVBY1_k+79 zrIEwz$9!arKP&C*cBNdv?9D4=T5-25`qLwbL~@1zb%?A;U4rmv>HVsBipZ|-?NfXv zjk<;j>aX3qJ>1h@TdZXN{S_S}!)ZB}>)Y@w&53Es&H6l~s!8sGGY2PRrlaLv=EHX4 zjq$U98gj)_v57b)64)+2QSDiQNJkYl4qT9{rxn3-&?AY@UGnqDjQApE)T>`)XAhyY zc&5Y#SHQ5$wJj2t(*A!yF}em5ov z&OI*-vr3QppcwSba692l%6xYVC#1(vH*2lCMZIoNpiyYOed4A}o`F(hyV+pQI4POY z_yy3*{^5)8lRSEREwyK3yj^n+d9EO6$o)-Ld%^OsmY573w)l+hz%y}nO#TMjOB+Dg z?Ed?AE!|_(y|b;}Qs_?G^P6BXx^ji{K8Z;hdgkegoBF~zS)`>Yvf|h4y=xOW6|Dz0 zPHnS8Zl^aBgFvpmYprvMgGWJN?&~vov{aIE{C`3nBn7r#*gs$4-ZWAUD*E(%O)7kj z%sI?2nR47KA?eRA<4z+ZyNvem!urGzt|UlNK|@K*vDf`d$KfpdkIkxg4^5;x7NW-w z3AuX8d9UuPkW!`EM=kRS6hYQ+)bHrEdn{5)%w%dtxkI`d>Wjt-WiCeFS)qul>O2PN zd#;RTSaDVW%nh z9fOpvS*LKJP6=qKWn0DP^!Ig=m73P&SpUe;Fwc$pVg|__mG$XJd2DC)T{|3RreulYsFEZ@cXdBJBgtpOs#B3F2J-s9 zy>VW@xmXrs{cWze&3WrW-rwZSAu~s763>X$$g%-%>L?C{P{oZ| zgUr#&QMuv|Om7}~crv(%g{5)Y+ZK*BP4-BTw2riohj$8mG$4qK3ab!151<3v?Y~`v z164?VD^PYSmupI^mHIKhQF^t!)ORydmdpr$;pML#W zH^}B|azmbp*0WNpLS0~*=njJgZ5=`*^DyxWo zT+ip-2vWH1e}4W<^#^qjICmAo1oCX1uO8)k z=)j*p) zxnJ=a%GwUFip=oVFEQxc@steSn34!)A#c{d951Y3e#`tq5S~l)u-$rNF-Qd8e4DDd z$oA`|Gq+0nJd2J=Wl8-h>&-R-5R~M0!Catitld6EM=)BHV5Hs1T*%?aDQ}lSBcd&Mr?8&IuBOmh6 zSgC-x!71xE(8MwUr{Qg|)40H85qx@g=WzkMDM0LOcru&Ig#?!;q=v`iuv9iR$pl>C|Q*96y;BXW=}#E zS)Fug3RH}|-7G2yqhMudCJhr(YTeT@fIRdZ#8+l5Nkg#g%aR5yQ`yrjKQj4o+qmAx zg@l5s+=5y>poaH%o;u@y%JW-O^bJ%|baT&a&UndUk@~kNsnGQCaIWu`n+U!8=4mtM z$RK^T#Hsze+v(>)XfG!Xai~~pi2UQOu4y`&*upl##6U2`T-K12)bBvz#PBi2S$=I& zJwmu5r@pd@D^Vl!M}=*!=rkzhMO;ytq_w7WuHAR=!@|;XF3!a#<3?9bU7<)$W2NIW zJxDVFvS6|nz4w!P9m~1v){u->LM_UZ>Y4Ynloy04ea|R1x*5?sG&V+SN$b-mH*&j1 z$iQCEIf*H1>)rfnB?IYCY_*nWYD!aR8fHm}>Jp&O0f|H>YvHPT%DLS?c#oiNNUEf; zCXIKCFs(?`Lxoc|GUJNm?I0-Y7h(F>u@UV2+%4EjmpRo1bw53576LE$Xp6L5_q$XV z#y$38C0n#is`6AO1NW0!Y_-cGEft3WHG(pF!U{5$mW&&m?VVeT!_3z+?_Bp4us66~ zKhApV`aSZoe>uS2P2`A1U4LjIROp;&ksrG(pB(@DN}%;qpfs@iX`lK8ncnN{e6M&| z3w_wWy>tdSY)99QY$F;_E00!v;%(Aa7ESaV01XHn!>s^Ro@5HJF?P12ArSvU6(`yn zjHah?hW3NHTvH;9QB>!0bR^cADkv1YKw)kG>rd$3d_>iMN0g#4#gEwDFCL5kgh8=` z*|I#W-g_G^m}VN3crn+487LAvKATOSN9OpL^B}12zjlBL0TUL~;~Wak|B2;nK*ph8 z8edcb^2c0<>dg%Y(~1C8zRJBt4Pv%jW?t4hSzSbF66Q2`<$uj&6mY;&!pZ}fh*3T6 z`hp)n{%aFx&Jnc|(JK10Zv%g5qF!6<+fP9&K)@a!S=E7Bnbui2V`75p0S5+aOTipP z_MjKw=P5OQ_<171_cbiP0a7rn!!CuKMu0=QC}xv=3z1!=F<_s;X8zpB5jE!jLmLgI z#exV)$~ZK5q2~&+i)hR$0P6YuOCEOhgr7X-8dML%v%NQZ(!PS`SdHJ-Km&&3N!#_SDK4}-4I&@O5Hv%nSjIIwJ7sG z1&A=V3AGZv1!cNcg#!!6Dnr;Mp3(dVAXvxYwt+M3h>jJl4F*dIFX8|kBqX7YVl-ja zJfqf*01KRnr!gi_oy#u3bom=nDPde2)PbSq;jNraF#UabA9RT^HOe+XH3&H}%ZN~3 z*KACsLSg}3fyQLAHE%@RyR+V+aL&1hvzK0V?&AyQnJ^g)-yL$RU&g?`hib^0Pz0bCCc z{?s+4qnS1)3{*O{19Jq`vwd10h|e?Xfl;qOO@lzeG5=ptp7fK7=lUa`uKq>~xXXqv zzei^a**@-Nmh|6He2;)_BG>F|NHnAab`qzFD7WsLLv%-hlf$NOmtDR{6~4ua9Evv_ zJb{m0wN#Rx7e`3cI<+*OJ%}=V%tDB+mS`!iV^(k&oA-p#tu^c4@WbYmKqny*ShHxb z4zN2Q=|c0o{B>HdFuD2bZ5GNhi7tiP^eW3c?AU%5uHStFS7@F<>5tNsnF@d)8~q=YH3Mw)g5rNC2g%AIs=BYOj73Y0>f_LxU1q6J+IAZAd7r>Hb4ilZ!+>!*at+H=eJyP5Mlat2E z$kT)-*62e_0?3jMF$sT$RwHQ%;<4Kf zOoc9L^~WKB``wM!SHu&$LF`~rwEf~CGTQ!^zN3K8N(#R!N&!?^1FblLnufQ)HWx+c z{|klWzZ~-(64(bI*)*+Nz&Xe=_kchkB_pMnT}N;TD--S$?1YDK^P0Vm?KF_7W6|%s zk~?;8nbKk*jRgi^iRBAgc7S3Ly#)xijqEU?JQR-Wy?dZgV1y9)b8s&&?hB+B2YVXs zGF{n+00>x`>DiYJrWyJ462U9z^wHXPjf>~uZVzn;qsjLHy9fWT4B`e*N!kR`zXvAB z2Z$KBflgcXu8K)2VGCW*MJeI3E&;d#$n9Ug*EdcMUa(a^%;iOW89Bt|sW6Z7sm5YA z`A67~`#&SQ@^^qV5a;%I-T!^^>Znq|W+ZmvKnNa~qQaVjgZ-;{>WP*TIwToSVUwY8 zvWCzHz!|tc!lnnHBrfL2otX0gy90+V%2wYvL~&;cfnyp9=3T;;4;qIa;*vt|AE@$h zfx-TFfd^V>TIax3o_P`QnJbC=PhhWqIo!kmE~UNx{%>^tlKiCBHhW%Mq@^?_^umM( zImBD}30`I1+_#1zDtIAc)YJZyeG0?gR1s{c^O&5q^V3=$jdR~*R+!Ap5io$z>Q!|$O_dL?fBg~!M1_oSMeUgKZjklFI{$9Tw{gLIfmV&2CG}glv zwM}oXE^u?p*wj+;Jf zrAc{OUz*K={)hPax?2L~8sd({v6R-|1(+v`!NIc8-%` z4?XbB_sfA|-Bcd_Y#H$h`deiuKc=(syP$(fuAo`)j#Y*|7dH{%RMT9}%B|cU3nmdr z665NJ*XG2E0jVYKqsAte+-Ys+8Z?509KY#}JiZC5oU*zY)}kHZ!Ip;}Uuezd6dWIG98=e?|~lkW9$ieCK18Rn?VjlWP}5E+YgY)!`Po zhx3tji~QxMS(c9*H0KtVT>>`fxG0IrD$l+k71h8y|13X-{G~*|v5E(Ic8^xuN@)q$X8#hsw_f56DWi)VJ?b8UOz+ES*Wce-x zD*NDrvtVCtFH{{*bVplW=2xXFW@Ixyr`nwvJ2xX+Wz{#KG~=xl0!QY$k*)b_?Mzn6@om(!!< zds4^KoMjiwCH9YH(m)4eXa8!BwBem5i;P-cBGw;{W@=L3uERiY^Ck$oR^!&wh^-S} z^1ZK;f4%ivTHM>0JB$rIqvU=zchm;utX95pTYaPQH?esZY>28=muOW@JE;aF^;d8IRVS%z)xV5Y!CH^)a#ZJ|%OFj{DlA|q@GcjRip+2aCS=7duQ z(0Ew?9s)oRcb@~1!FDtTsZ|Bu$NdFmn5oj#KkCzY7BCE~_()kR6=|=zDviX<1XNiO zP+s{JLAu)A-WJ)1Qv;E>bHj2^pujh`(A@YMny-e*Q-(M!nEM)Byyl}HG8r{x*vFlX zd-fWRVe0Gq`Fg^91IKx@WyrNoT5*O}oMrtbU`PG&7IXO3$p});l)=z>BhBHKOKA94 z=u}LTQ8778wx*cm)(M>(kkz}T(b-8S&%gN0T5edsY^?%X4A}Vjsz%7P?%q6yr=0bA zYR4awiaN_u9D<@5a?7euN8jbF_|Em3$$ZABKSG62^#s_2YllD-Y~$V6$~eu(Cr(#w zyiQXX88t7nTl;X8IhmZ0>cw?cAsR<+`lw$;v**!$GHx95Itn!yxaL-HQ}K1M`|qTi zBPqG}D!ks~d*jKlbulxsKj3GMB8;!8SEL=98dR{Bn_atbKVyI-#WTP*b>@q~bJDR3 z73)90qMaE`29@?02TA_(jJ8DSl47j;Z;jBt1(OG{GkX7sj!ySnUpi^B5yCw1#lZ6C zSauY5m2K{^;-`K1TIuOOyTg;7*T8(6u8)#0oY3R=Bv_z>CS9iOcK*NYMG~uxH8X`lRjP6tKI zC)G`zWKrXJ?-ydD8GMfODR~?DM~GersneGnrP8s1ODz0QRX%nYX-w$j;K;m%$7mNk z@C@-bYs3om36w>{#C@u*Lw#NU$~Ux@k%$C8=^eK;S6DS5(GYd~72^gx4ZM)~kSwJ} zqCt9~dz|CgkrfZI5yz_5mJNtrEvd$N{g}eTkPNwjvdC}zf zvZm69J@oJW!i*{HOCMC5mLj25rI=`aJ@dc(Q1CMlA{~_w*IOf0xKvms6B)&L8RcSnI{ChJ9I+ z@;*-bu}1^34*HohU@~XA)T?jlbcv4g=Mc(kpJ*y929$HZ=O_FLeCb$!1g760el({1 zfqwFPt9;bVmixXb+Yu1nYY$lru~oYPvK zo}TN*^Nn5&^#7zcsW|3%UwJ?Vhuma|=h{4^*UU-+`PdnFl?V5t!*`&H=ZN=rZ#R~H zs~1^#M%{eg=8Ze8+}HZmGya`#-d1+*yWMcXS|_CZMM2wXhh>GNdfOh0i*=u&hGEuL z^jkz$)$t+d;UnB1J^0--6wS0+7gh`oB>20Q&??Bspa47VfV(wyg6zlb8JfX01>w@j zrB{8Dh0r7GN(*bmL*y5)ee&2y-%|$oz8z6FeOpOkx+f)0_rz7=*4U6TRR%lKgs|WTfidj@&X- z{XACGzMy5Jv+N>%iW^2A-jgm>nciaL>|yabSd;UIt=riLcm2h@xzp#40wmb;=5lh1 zq8r?kxsRw$<{9aZK1ZX$FOKpL(_G^3RxNCbUc}kiY%k~x2MRIr^^xGdC8Rq89XynxA^-nLlyO*sjD0Z%x&-T5aN{Qo1<{`mNKpYWvM3Lloic zsKXx3_n9(Z`wP=fen)QaRO|+7X*j>H$QsvD$-5)=~Mxw95 zwX-C@oDXOrACaq6A>Z{#a^S@OnMzfDzf z-(vceYF-|{9y*tYyAeke4(qoQp0zU>hdj=hE4TVcUf0JRMylU%BH4P8<8jdTo&ccN z=_qP%1KuS$b#3D7_U)t^GUV$coU8e;YxSRqn0rDQNtQX~xs6DKgZaL5X^#dcFw}9z zS!&b-)5FGw8}#chQ8Bg~yU!VWg!QUsnXFu&F}tzWyvp=Tjpbx%F*0?Sy?!sr4tV`s z5U6DDxh_x^y~_3-m7Lc$X)jc=)E9H_9sh?>VQEU*%yDUagLhSwiamq-*6Ka7sfO|V zocZ{hx%q#8n5k`}%TWB{)b{!z!&LnT#`jFQ z1YWvv+#dYSHD<>4)bq7X!G)E;zB%sVx%|y&E&-jkh<}E~c&8t8Qtycr_@0s7FnN!1 zd`g1z6@o6oP8@+grpC_m;pcin1-I}P`q}bTS@<(+1$Zm!_*)C)-hR}fAY`I_Z(R~v z+~vt#(&`vIlOuRqw~}S0@|A;v8PUHX9M^wRe`AUR$yY6w4l^wrojJtGP18 z5m7+E-|~}sL6m$Bi3Q~0n=_Z0VgLvBp#&{_S9@WLAXs5=|A^` zg?PlPqj&j<)g1ru<6OreyrWf6Zxy74Py)XOt#F0yRlWQh*NJ@eluXnSw1P3A1FO`oJ? z@H@^k#Pg)XN%1PruLd;ng4$3NK+}ZucsgrgeLZu1e(&%_Y85Vtk8^#Byln%Eur(;? zao1_K6efyU-Y`$irnpbhSJmU4a*BSGv$2pe?Ny=Oa%9ERoMJ5v3ob^NUAf-go9n2I&>92}kz2 zA#2K2Yk?`;YNMl~+CNe(*lYvLWZZ0Mp9QDk`_NQyRWmiQ{E)wT|FmY^F_YtcL?xwe zES;&vF9d^=twdUh%~LzPu2{^VlQnFZU+@8ft&;6t5V;%jKHhBM;Ws`7|1|uDhoRpF z@$J_en!P`TKF*#ID=*4oNeZw(LTi;llmHI;la46HJX)~$E|BV7Qgo6^CQJSN=tiGw zl(TEdr>h@YvGU_3GfhU9L)u5S>IqxXDwnlBeYEQhcL>%*5 z3c^}s4~N8Xr;0dzXsuG~6&t=UbV+Dr(H?-JQ}`X7t!KHX2WXWF2Q;qE6V{ncL@k2XVTT`yyBL6nDk8Ht&uo zSpR$-tL@l_d<_SB&te!lm8McmrevC;|A5_#<)UI>WidW~l3-c}Q919+qV)1-RO1#7 z&qT{T%}M`^w!e-LHLr-i(AoG;ifK0!g;VJyNXd0J+{B0|tk8G$NRmv#3)Y8svdKS< z4{DJWr0;k%Fn7^{7!6#?eANzup_7g~HOiBZ>VW#C<+uFaN{3Ye7Zy*uur^hCPD+?< zijOscZ$9t@)#PMnhf@T32Zcy|BDsZ#bAO7gLzKVJk&n`C95qhquiRA{a-0G#wazW{ zOUZ{g_LQ?z>CbwNY?C~mx#jH8XI3}iQ`;Ak#2J)Lr9ERr`!Zvv72an3l{cep$P#Ue z@9W^1B@alvVOZ2m`zL*knCzU%_JYl8#;J3E^G)dO4btm7j+(R+QAOyND&ls9;P2k) zC{~XmG8;qoExUWpf%pRaD|;S7?E+Eo>3MGl=nEnNlTN|VC@;-H7g|a>mZi*N27H@I z!LDV;2mBN7geQv?{F-!|aZ$>Oupz#_`+U(jvd<#CC?9Su;LE^uYqo@H@6dvBU@uPk z9KA?iBb79I;@gMB*WPnZg_hI|U7&7e{SK#F;=k1E^GZ|)9G!PPr{`z0GxH}9Co&7X z3x-Tj)gbxv%2nxBQI)Os-7HMCmy(uqO5bylNC-%u!@<3;Mq4O^r&PTR~*D=R7|@a~ve8Pfo^8RmLj;7EX2fwM&Pn1q4L)(18<`-YlH++JHeBxwC#QF1x%psSju={ z=@8&ZoFF*7D%FZyEISxk`>XH4TP_b!=Xp7gYm<2nh+otAX`!E;R+`ccxhBU1jfIY*rwmFdX{wLE!cAcYQ0x0=)AJ0$b@7Mg?gPNUUgQ6YR38 zv-@(hHZ>-3VUg4V*QsBSd3XiXli5@@)nd4hW=WvL*G~( ziO;tBgSpx5whme9`c_((0E(rpuqnr^?lJd*WA97(CXd@Pmz!*C$leR9Z=|p)vNG-bp+)>^mkna;8x|B9o*#~ZWw58 z46ZH(Ian4i_xDkpIL9t^8>~kP!iMjr&G~_ z89`+bgNhcP?bIKL6`ar?IH#YH-bXcH=)KRd?;E{re>|#Ic|Wq=jZ(d!p+vTX>H6)U ze_n@?@dg+RE(b5jZ{dt2) z$1x>12+=Q9Xx8y|D(Oj@@$1;~zp0S*_Fk}Fn5{s}W`FrYShfS_)M|0I1OHaF%dbvu z7Aivnw#>YlNR=Y4By0JSg>vRTdiZXEPoIK)mt~8Q0{p0854WCi`wiM5CV)SZ1B1x} zp?`GD1X)+h7NMmBK~d4Rr(Tb*cJF%cY3G>(HE7-;jzJidZu}TpkVs|hQ>IMYNu+Q<*^>r?i zkgX1XrT-?)U+9%>F_a5Gf55grb{AVOP>{phKh#Q55icXlI)0RhnhjQz>tqFo)a&THjSLvZOHiqP_;E6%dTkC+)p0UpR=YIjVVgPfVMVd1j47_Q43C-2*n**o+K8QR5D(U*w-i_6mxQ>+J z9kK0O3-6xs3t-t+%DM<>xZd7P=3ii};aZ9jXc2NBfU%Tst&__Qa^yp>ee-GpVzo}r zPabGzi6PZ^9|-KSSS^khwpq2i=jKd8u)os?1+y&--bT}&PYhSBB~W`d?ynzh4RaKVF!#D+o7;VyR78Y&D1)%V-=fm zO3g-&xOBQY;x}RT?RckqIu>~U{PNXPh#wC)2;!xG0E@pICs`{cl4Sr4hwxls3_3XU zTr2anI8^Wf=Aa*6XwRV6p+PDBnc}5VnEc$u8;wT^3XU?xCtCY~wrnkmo{DJ_DLOIW zDb_1gi5znV1Uh}=mOxTdv%ZUqpTk~(5d@;*0e;Loo**RwDouj0x=}&X+^4Igs#(#?o(8r3P&V#&xb?=lEH9 z(fr@zQEwR}6f@l|n;m7+PBrHiM|m4?L+&-i&ubt-!A6gMR(FY@X(Dn8(SUx!?rKOl zILNMk(?w?Pm@7e`XKV|@Q&G{{rJdpXr}p}eE-wDnL0GASjwwvAGXi9?(C=P*ixJ<@ z61XK5vy)B7IWeIrc5!Z466VQ(`Z`Th$60EfGG!dyQ2&v80@{c{UNds>7waX*$$FDU`8?fXCAWTd@sw>0Y;ry!3HT=?iArY8VmiWuN6H6>|qA^?X>s^Bq&f2U+K3HAeV?92iZ zCwv&~bIcWp<^VSA`hQn2VAa$LV9Y=gZ5?_OeDC4U>S4g&WZuI@2FDBV*<2iCtvLI% z3yud?xTker%R2jW4i0L?mAjb%xC1cP*Ya2>fqis!Isc>~>o4eh0&QAA4W2g|AxG5+ z{(TC;T?$e_Xiq6P)5?*Ggq&2LI*zQv?2NX*WQqfPs4)d25(?EIXtm!)Xs5M&HN(N? z0W0a8>4WbB`tpD718tro(6glvhar^##Ra1ExA8znkC-D?(k@a`=>S60kA{8AkliI9 zbXmHvC%n0W9NO1-3_$D~LUy_1_6JYo6rurp0%(p)Y~b#N3UdbDqp6V>NE8-OU)7%Fxhe9V zY6A?&^`zh$8UT6|oPGoQzaE^vaaD!64XdVTAL3r0U=1Q)y|4!mEx>i8UHU7lQs%#s8EuBSfG@2$TVP)y?~U-kd=fzj&{G{jG+P*<|McTNVoR+ z;_#64W=yCXyY3h{swUtNQ-l_25ECgE(8xF~$r&QS5e;zI4k?_ry{abWJkWDgL^!9` z`{>V!FrXZF+!w|eS_cQ7>mRI8=`JoiS4Es}2gTZro`~*l3-eMD&n(?_gM0i7s zyJ!r+o7`T2p0FKHy@X1*_dyU#N*|=3V5*0^SqAhW;44hg#EC=zj!fLVkGQoPUpr_X z0SK$QI&kpv-D$WdN(1uXgF*msncBVi#p-c#4;|oVQ=abSI-B8a_+6n@=Rz-cQ>)7U>o_G^A1M)Ec42E z?4E@h>rtvb)~a=?NkII}I|g&R9W^6h-X-?%`Tym5lr6-b-*;;U!rJ01RB?wjxMuQS z7XpccbREI|A-MYs>L5XWS2l~3RA3zI!XxE+3x@X zkwYllO?0t*F4d}UNx4r;kW|#p2CSxhNBIIygV061(9u?g^-A@UI) z3gJ#`Ltpbj1iJPh0iXn&Tb78>kfN+@C@*%9*@efr3s54Q^%n-fyJPj+pBS(DIrwpq zQI;QY0YgwE7T$56Nb>s{!B6DV`y)JSR%-@a8`1Tz}JJsV24H@^J4j8OJJ(;t~u z{a-cl5hz|TTT89Y`oCXcj-h(u@%t|BU>$K8B;&C7;GMUosDY@+$b$-=cXKfuWBUiQ zAvjJoIWn?Sz&4#XP!up);B)%=H@=`%OTuOUow&$P`kJ=L9k2L-#b82wh85R_pN58`7Z&YSvkGICkRpx_YnP72L8WalX^Fd zFf(4YH9?uwE|Bphq@CSO`IouE9-`^a9@?F6Fo`ds-g*Ob7}*0C0`th;zJ~b2gWMAW z=<8D;=eq^@@0<_ZHFfD<`3M4qJ`jOtZ@oaYv%8q~s?V4_v||Ke%sJL~F70W7SQ9p5 zx`14*Odv#;S0H5$o;o;;BLOfe08batG@msI!#^NEnIVTq0=?r$;{n$I-0QKOfSUVV zs32K7>VWsL051*d*C?Rzu@B(Zf0)03A}1mIE}^K7^)%IvSBsYh4FhpB6D6yCWVods z78GoTW4Be-cQxH<3P3;+BSNJ_m`Gr(JFXOS6xjneycp?J#%ie;Wo_glL<1~RS+hRn z@?0@7p(DkX4|5XP1DE{YRCaL00i|TNYCV}-W(I&pIqGR3ZLqyG$P9+0fM~!Xi$i}@ z$KOBX)*~9QT7dR8Ddu`0vGmV$5&%wv%M(dw9|&vU{%a2=faHLf1dxGz4nRv%pgjk$ z%5~>M8kz}xadY7sgK&ojqs|4ObF6X0|;;U??osC_6n=55=6N<{Pzx^e;LwHB&*-VAX%s> zPtJoM0ki}?Y+-;PU^8sYT6Fi_y}`Vr`+nRm#RvU>C$Id=(Sr2=5#(IIgrtwzAeMc| z$4G~kLflOp_36cgf$8krmta+>hf2D4!v5|HWFOG?gNXrD>gwW5b9g2n{_{@DEV=9< z)yPjHJT1mCSXH40d&x1U2)Gj-Ty=so3M4{?^4NbuOGy~+9Pb|FVAW0<+4CTt8m!1` zC-odyLu7r=RZNb^_$Tijgo8VE?`ewKOCyh~2Ns}d{q~eC*!Lh?g_`VzJ~d{es^kN` zY=zarf-!u%(4P?O`pYA@g;kA8M49~$s~ zKLVV`GvGG0K#bhlzD6Xl(L*-^+yf621Pu^q0iDET8$|;n7e);uTK>KPdKTDY?5(vz zKzlx5eUjc@Z>H0~47`t1M1{Q~M-cKsQ6#;8@b^C2$S&|+2qJ=vMj(#?Ik(eT%UcFg z;eNQ`Enr1c3Pi(w>yX_~*Kf5=V=sF#Gh9{aEjmCBP>1&XYy-h(21mjb61TSf?+|oU zYkoX^q~Yb{raEWL)$p4tS6O$ctf)7!8;BEVVC7-v8rCD4ecYqL`Dw77fdR=eW&_Op z&hiuhBihvbpD>s!Q9VAFuh{O=&>6A{6Ar-|Y_q z9>5>Ni;5A7HBPSrt+lYZ!QVafS@*NC@(&_t{0}1Biooh7_Qfj90s~4qFnvJ0s4ix! zyO!G{_YwAa0lmQJ?yEPkUC6;)=MTyb5Hu{Q|7Xi04R4Z_n@sv*zTt&p`!3Nvz7GIQ z^sDj1VV1t)-@ANJyn}Il8hm;DK7bM?msz2I^5{Jjc2rBC^yGV>2Tj)XJTQIR;5$NQ zO;Rz}^$fnIHLpy6b_n_E4+;(FGxZw$@Vg~}a|+$S;t0UFW0$Z>5|&kNqEveh>->sc z6MN!FMuq;9K>;+v7)@I_E4~kaL|$zmvO0{poep@0-ZSPmB~~i1+@Dx)OTAC9TbMic zW%d=^9wo&h*wwFCGcX#~NAo{Yq!o%m?z*NX_7ikvSoyZEU=uH8vwtA`KVtvTU3Y52 z{az~8*9t3`2I)kb2*2xlcAOo>12vx~*!?%JeMbY!(c=4HxiJcy9q=2IKd@Lbc?S8c z6-n_G8tk5o*UyC1Z;ng~yR?nqe!Tk^+a%(DD)#XKbn(kgf@20t!VZyV)8WFj5N*of z3Bm3&R>TImaYV4=M@T%!i@O;MhZG+VG*$RkHatwo@ubb&IwV!Dfj+M(3B|lxGk^5& zO~OY)6K$cRfQ$Kb6CWgKoAh1d^1)`S6s?F=alp9P4c0OeIL$$B^8{?R2sIg=BLp-E zh>8Ww2lEJmb_}$in!;)tplNNA7I*z@7-f35n9Hjvr-4tA016?{4X z7wpmi-kyrRPIcA&P4lZHxRNBmpU{p^tyKHW)w`J7@U^8Szw9=8&Bu2CFPk2<7&2As zmK8ew&PiL1R!dQ3I(U_vlhb*<^*ZKa!4gr)Z{f&mHZc~N3>`f z@EY|;`Q!pvBI(HE?RwMZ1&?wva$VW9;5NH}iEAY(H8E^_TUO=ugFD_RH>~sgvEB_) zrFP;3K9grzG`V6;e^+hzAoV{DW$m~y4;73@ST4O{CZq-Y=l1j7v%BbLIiDRNYs@?o z9bhLsvvMk56AFa$hZ_5c8<;pWKDZ-?HwXk3qOZ8$pWx;i2khn?mN7hx_xdu$tCrG4 z0~f~5GaySW2qa*&Ek~gCF8ea0E3`SQ4emr0nqiVTRK}@ z;zqCc9FIr4-A%iwq9c2n0>sCB!9N~4FnhidY#>Kk(X<3WSc39_nNii=B0 z*X9gI?p-Ia_FV~&-`yNv2pE-;Z4kQ;z6n~m~Q>3wmqAWjv=$MSiSj$pKkA-2}>Ea=EiqI?)We;|4L!iN^+U+7UraVlAiy1 zIsHb0=(C8-)g5_scaW%`@0>4q26a+=hRhGav~0`>y-<3^@yC!;excrc4EDnSSVIMw zn>aRntgixcdizYe3P*vxf@HyKo?Bw%`r3wd+FPJtb*@P<+d7uuk%}+2ze{djcyYd) zVDd5FsYXId=)FxA7=syu3G}<(Bu*TuH`&(86%AhpTS##Lo3h@5jlznhw_-+sshRVn zlZ7j_%n7g50q`>#UjqK*?&6@e$3ElstVG(+pG|uSM^n?|ILm z&%B6B;Aj*AuLeE|i_9Og8p_=|BjKVmc?t9I#nVV1F$r6J$9-jW6LdGX64bj`|YzvL5m2hlmtM({4b%nh)7 z!t9bSSIXWYB{cSd%sZ$<^7pi1pO}*6TCYI<8yA8GrO;Qo`C*GAW3l59B67cywrdur zSuE5P`jy7=n?77@@Am7iQLFHqY|K*bDc}+|m#fst%Z)M#EipVTZicXekS zU+^R+&VNMYkxyDrM>S#IP0Gm4^<#4GQSRDgQfM@ZtDt(_X1>(=!+>Z4)03{uarGmw zSRRxqTJ=D+<2tg3(5W1j-5_&xw;g-bbdEf8Hcby++en7JK z%$hZ8)~q&bCM%W@yRwvV`G~W4(?}Sm073`AEqg0I4S373jIn3E-Gme#y%34=9B`j?XjX3Qe1JefY~t!7uEyRMcvXm#!38_1l-(ENzjt1XiP8 z8JBt_ADc|`I33(y=4r&M&X6g*DYLMUdq&vRJ!z!xOO&6r4pndY#y@q5wwVs5-xvLk zZnwQ57YQ7&wK3(-7in#znVxZ&Qt$bSSf=tPyUnTuzyvwS{^#?7y3gZf? zHNGlp-2N)ZoqOcY+VHl2nk<~ksM)GoJ0`9pvt4XG+QcatptxqA`Z*2Sc6t{kqlfOxK8}zYsD`QOJ{jxRb)A&G@0(CyS^2hw-92M$ zS$TrVc*9$;>W92WM*d*hz7}*SD(U*2cL5#>V9UVm^gd8B-hKsIXDBqOAF1~z?LCT~ z;QCqVjN8p8*(?}`B5CSC-&$BfWDM(@md*Z!OdfBEush6t4vteRH$O zhe&1Vcni-j;_W;uccTKk7>dr_k2I_g*pzs<;&l2{aj#+8xITlutDT5MmCSsRuQkMp zGgt31JF@y&Mu7o73_p|?fP7`$Brb32#9?<)w@XM;-X^4HAT3{SU_L$%SOmn1@!P9>enHWm>k~`1x)V)yA6*|XAryWq6Kvzl zH}r)*oWBoD0&s&{Ccn^l9s3pPC5kgUzx2Pw{n7Swc8;^OCFbMeWY~K~kis6?mPbW9*>5STrPo z68O$h@~p8FBEgTq`;|o`EiRDyFO8hA$@vyMY z?i(Dp@%r>#@KHOp?-V&HKxuBqq&={2j-u+dU-7?-K+obk?9S}!b0NnkW&K z2K{6G_uhNL1$ktTHPV-a-FE9dWvu8&$|2&X;Y42t8yxHRX>gspnE)x|ulmsw*Q6?O zdwiR$kZ~EeHEQc_&uC+>>h}f$i7&p?W*uqK6xcct$2Aa$$k2g0**T9=9Xojnmy)t@ z(r?rGx^0xMaj~Ji)#%`so^fJ&%Dg_xJb2jFHbHc6^zdM9wA0%NrJ?>v`hN{Z0JX(W zu0N9iHAsN|z-7C>SKh5_BuZ1$FO)RJK(dXaHYhLC?mt@(sh4ZHWpK(%W4ffv-y_wp zXqGx4fmb@~!P?uiwW4U;(VxhQPmFhbobiEK)ju|*Wp)s}1DgvK5vi?NOyg?{G)J&M zv~@;S561`jo#f-WEk14^m@dp*WAIT@wQJLiH}rO?^2oK3MGfY!?}bh&kGv>DiVegI zbiNk}Bym4#<-fvvD7q|7MX?8?0Q)A7Lmj>S3og zQt}HyTl?+kQdxhc47JZ4oRh=mKx1^2@Oa}e=2vJZSCvt$Dv{$8Kd_@aIoyK%Yu&0 zE>>%$6PHY_gSaT4YMxQJ80;9fjc9R@NKj_1Jxg7taWctV_ocIj#=|v>No&M*nUrPE zi_TCLy_&N9c*S>{B{xCD&!)0c(3beOz(Pf?G8WX^N}il%*S-74{S3b8cZvCVJC=Wc zxx^*Q#?%ZGI##utbFdSI_xI9Ub~n^k%@;Y}D&nqh=2Rx_Iim25XP#}_$UL5ZI|B^I zOdmWk%+C)$%sQS2WsN$g`{mBRNy^N37iKo`c8}IESm?eLWSG6lF*s~|y&;+X4~UWu zQB|c_*NJai4`f_eRL-%szD=%^tPQVG+pjWr5+C%_Y+gXd8)J82SN4HrHQPM8V|8mV zQNaA?=|9v))kpbVi}=ABmaLNi=@(Yj%$Cd=+-m?xK3vB*wbB3BuUt23mkv6|<=lH} z1FTe11qJ}#v9xlJO`0X9KzebL42VYL>I1Q8gf>=_7u~-PX#ZbKeY|@AMryWn+059V z(5i!?vq4UL!vpireR*;T7x^VDB@)LjT_A2*f;3P2ntxARi|zn%`deuMsg~q*BLX`yiq$o zsbX>a2x4Vv9^rrQ2!meXN%!Y+Usc?CH@?dJM>G*mmiX9^a%A7htB4>69cCZ%Ki&NG z!7dF9ew)Yqw-D@ZO*rDm>3p-;ROA2Ym>m$8^}obd3>X?O>F&Cu|GmuJ0H=Rc_g_CA zG_uIDx{0fPPm!~z6;);V@kgHm90kV20Fw*{WD4cLUfR1QgNL*CNB#%S@IN%P`wil* z9Zc1q_j@0(E3d{%_IDX%dnALWJBiPchP=z)-$RRguqJF5o7$zZ8;iM7u(xjnld3+@ zcl)4|azw#1<({o%B>sPO_UEhn=|=5`V05wZ2>>vbl>d$TUOmIq-NEe@?_;>*z~$$T z%vDB5{y^FN0B_WNHT`KOo%`RaD5Eo;^Z@*-9Scah)kCcI2NYa=0XZ57hPU+V_B&iG ze3ZNwZJO(M0bKw99)c0cvv|7K!yMi2Djg?*2g^erE{gw#1CvrX^)F5U>bPp>1HOHk zvl{g~464Mqw^t^#iaZ0r@9kkhmEZujh7}N?pG5MTjDNsZ?1g;bI`dATSb(SfShbZ2 ze#g1bz^fF0f@!#`4kiFV!H~9(26pA)jeRyY`NEoiB~Ts2zJvt5+oR9(mE66tfPd%o zWB=J3H|o}Cv?DmSmq(8QELL(PfT;8NKU6{~PQU*XasZto@j!=7Pj5K@{#8`?%X($Pn%3ysYQ#Ebce8%SFH{Mryk+`Hm6d*WSs|rRgIuA ztKk3KMUNZH0{iT!mSsRgHG`s=)88dNTl>oV zx7vNZwphq$!2@GhS=j_-R*GoS<0)y$n4iTDE69P%Syr*~B!^RLa|NaZEm;K}*X#{( zJgT-H3gvnp!0HQ3{rCPtphrA0sY9g8NlienQP&QE?|gIb_eo_`yti=>O!be80HBVH zif8x=WPq4#mbXa1bbVfUb~n~mDDNK9QZ-#?J)u#dD_X*#VdF z8j27%$2pQiOmMnkbHJykHyVlF1Vhi1n3;3OQ954P*M_r?po-Q=UG;hbFnaS}5qNZy zvsyhUuY9dwlM`_w3Fjvp!!g(Joy|OnZH1(8awk=gepsaF+8%Sl6X(-BRH0^vlFrj> z!?HQaY*!s7A15Xo2?E8go6Ae@TMW(W4Idm@rJz5HZOh&-RuhaW%j!H*sEX~} z3fKuB;he!Q4ENpc@RCIU@Y7j)!`S`nWdzEYcts%TT@iI0s@sS;H#taMeb%yz0f0|Q z!=^kMUfFzxZkB(2Ck=Gt%cvYIyNB5m-L+q`QOV=w{z0*sKiM40Rr88xc71USSO@1o83a^fO|@WA6)QX7*qGHk%3!O8@eH~4Z&RJ=zsNy!Z}zT#?HQUDd=gjl%) z5j^{7tF>eP;b+L_PI4e8l3I%jnEm9{WVFp9@bg2*MV%D&n>9gTuv;PZzC_3Hos(lT z@;F0@z222Kx4<9AfxnA76x-3j3|_ID)N9dMY!$0!ty!pN2+?!CH$}SoHaxpUUGoIm8_y>^7`5q2q&T_Y=i{z(-(9_Prz>FU>ums=Y0M_uO+8 zZkjzWL(eHMe2Jm~zP}aH`1;x)7?M~vw#NLK6wsE{+odF`c#~Vbbe#?p@(5`EB0JD( zeJ<2E$eI4fJd?PD<&yhtadBe_Bf01i>m2PZ{?BGo|D>r;(QhMgp*5utsL!2OE{)$N zk$TtGCNp_xGYj8*uFbuoSKx{+$hkEQ9xbk6iq1}MOHPc zD;HLoNKqXYb*4B150BV+NGow0WOXb$Hu1EloNd(9SoLYp@?W7};+=(NgTL3IZD_bV zGgyPZv5(n9PHS&y0BRn#ZPVCPDM#rcwB@ugReAd@_cRW4n!E|BMVU`9dpXWwnZ;+= z`RmMki5)}&rB2Y32(8}DqvGyPj8^QZfe?)KH2p zDZjkY*_Pa%E<_?2LQ4~Ru>3h!vLeD))N0*j+af@58^!yXCktg=Yg2qq;!~MaA-P$( z0Y(0cm0S33Xr!;9;YdQJw5@nZ=wfKLoJFNw{zZ=A2y{wysbX(sU*?TCk2_O?DgF$T zZeMQ&xkYcM&kr|td1@zZzGFDfdI*3aKXob&%%qy%6u4|e;dGZI+kH#q>Il@U%lR>$ z)8Wp#&4V1<5KA$;3U22i5^PbQK&p~Jb;S@jjO-Acd3FL^catq9c#->!js2!p2Fk!H zmA7x-lHz=?LVCz8w&LWa3?eW0&SNSiL5U-TBsRG^&@^k3&7P~m(kFWUV2DvrP46+0kTT2UY z41MOPC3P?8f0Di-#Oobo@G8Gt)^*&1b@)Yz@Z8mT4o|U)^)NR<39f%0cD8esk1t!y zad;OmI^}xMd-obS{=8U0jT?3>SU#DUI#3?Og^cgvD-bGnxwo_$no#+q*_QQF8O@-T zBVqz4e^nr;Kkm%796+Hy=vY*y-phe7+0JE-U^4Lz@TJ*6gZqp{wta?-wm#5p$Jmm^ z!7iIfEzgw?{S}vbWHI)WQ5g;9(a+N{pXSQ+TzkNqkumILzQ;5(53u81;q{KT zodvIMTkP6I%vp~9oElw_KtkUDDD|2C^6?3sj`a9ma}zONuUNW0GgG#Hb@tB9yUpiw ze4B#~0dBv7Pj<=5N4JQ&IL?=t`v02Fc#)xMsPR}Jy#dN+SSsUW;*4CeTF^DvDN4p^ zb7xTe62=YT&iEtnHVU||E^$_Q;Wk;;pH2|mDe6jQ-7W{@s2w%(s>IZ+-QAI%U=F{l z)JHbF#O^LIh-sCiYdc1!yVck=*U0I)wnqt4h(n9pO)c((!)Sim)!;b8cvCk0dNxM~ z8uRQX8m&iG?6@`zopx|-w{)0mM!Kh%1G1b~Cx=Z1C)5HE8{$2`9Gh*%E48N>>^mpU zX5VsX``A47tUo~xkUUr6%21Th9Xx!&cBp_)1T%;SR_J{#-Kz$Xfw4Jd+h%6PbuzN_ zb&=0)bjy@OeO98w17cC;2~MO%gCW1{^gnm!|FUdV`UwGsGG|z^Sbp!dnJdld(y|lO zcLXDjgE!Kve=8cs4saG!T z)BdK%Mu*~TV$}UZqLzmNuY#pkJ_dv8NXFod8TjCYicX9=v~w+aG7cNSRw^SbZJBLi zBb#q_=HjsT!y=i@-pR|Qh<{E+F*G>C;*5c=w0izg&%n~L-gY@*LSp&B0S7<|JaMp^W* z>1k{4V1}ZP?K+I+J$*AfQi&>6B6>3K75x$OiG>hLobi_Ph8t2eUN28Y#m$r+QP2M) z{ItIATG;ujIo=aLI~GVY-XQwJ`db&|kOPkkZGN$qLWaMaHsTW6#ebYm)P1r}xx=c3 z=<3N-97&Gx(JiB`e$LhNhNID=U+?XB=Szjc1xQp`vDZC(?znA>;zU{0aIj2-u5n_x zHLfhTz=JGX&cM!?PhNW`s+I4vnX`{Tps2S1M&h{J#$-jcGVVlQ>*hV9%7tn<)WUE& z0%Le3kcR@8DqHZW)X_8X1!bE6MWTdXqS6!F7D3sHMnGBx`G{!*@ zIw;Q*z);V`J6XrZ+s4}r`*YW3{p>l{#Jn*V2WW+tl@{DUFUdNl1e}i| zd4YBwb!-l}Z!%*jk9@7&(c#=Hu64`6<9kYZ?F<8pJ|mgc!XSB4bJio4GxW!jUa=iw zWM-yx$LrH#GWi|F41JuTBRY{GKiXOu2PipjF&#vyy7cy3`aZ z*?n2LHu>DtB@vC6LopU@ijxRqSL}qgAuild56K*`+0AaG<%D|y?u>BP8ANO>`dxMB z6vrf1>rdZ(ovxg#_o_tuO2P#1q*DvaCP#l*8+Wfg5;{D{>G-5(UBbY--bu_bWm@Bo zLGuF5qKMFEmUKkFfX>)RIAqi0&pk_2>f;)gPg!j8?oAFXdFf@JxN>) z8JBW-MExtKi>II5C|S%_spz;SiGA z(eu0*1=v6nI>#Hw#eHve1r}tZu|NsQ<5ElP?{}2vV94&6nj|%e8-xzDUMS`rB@c&* zIJ@!=x0WPKOyKNnLm{6NLTpOP`XzJ(cj{)blU*_o2THe7IX8`v&bD`y5p3IhU@YeT z>RFEq^OG}16zR>4{%7F*&2lhSB#fn8H}Q3U$Y9$<;GNN3Lis*XmNpC9cF`T z7-h!0U7fc!fQt#6b~saA<-fMb;~qI>ArG1As=<^xXnm_8;nR8a>t6$RmCW!pd6{P{Y zdt4*RgyDElhU>)ZV<;xl74{57V7^Mol!VUx;%9^XY3RBu>*y`*uoCfbvsv!5J=yF? znqjopOQs);>D_;k84E}}#9B{gcTGRUlST%& z>W2N|slc-WD>`D|#;c!{Qr_^uyVFwDIyNlv>G7&+8ox^SdQ#^f)ZCrLs4Usj8kQV& zoHJNUkoBizHq=fq@)Z3kxow$iOA!nO(mmM)j8R!lu=7P*a+7MLH+9z?Yi zQiXr=-2TXN@ngCRP?FEYa_^%i{w~W>ma4G zpG(eUU4O|(2g$*~OI|7qy)3;_*#=!g?S(dCG*2s#CAWI%hWy)!e`Aln`RiTqsu>g;3iw-5mA4?EbUzF(4kDI`2VT%*|0 zRk`lOURioz#jzvQpmBI>f@ktQISR^8?w(=vT}MuVbn)1 zk)^-T-8L|mJIg{*xF2(=(A@Im*qwTe96XW z3!hzefXLQBBGXT^@D&W;ntryVlbz4EPh~jmero#RPb8_;HnK}cM8PTONgXntmhY7c zcWafl5YHn!r6WP3EGKW1_7@^bF7z*WmmojP%9Fc6yl+WVZIrFC<&1|KMy~f&G-PQ| zdvbP#XRmVfE|*SxXtsPKS>kUn7`Mk_b4D4_8+V(>_+6D>fQG!4=OKlpBB*xsH&ck} zRN%V73cjzI#Hhr7H(k%O42BPW2b^#?bl9h3iLfF5*r3Ve(tSt5V8NlC5 zC7?m4I$oBn)W*d{-Pv*H;cyHUWP(gd?GfeTQa$*Yd+c^V^G1r3-HW|};;=7bsOU)* z$l)tO%ZD}t1hxunR5GE|29WH0+JQvyF3n-rP32R=okgy1dsq-+x_wb6fpuZnp*hb= zC-*_#D1@_c`}Gz4bJ|mYpi6^+pD~BqbEc_!Qb2;9ve&~n|8b40v#U)u9k{ck!{uMo zmE%=Dh$aV|vOUOSgCjalV9rwgyyWt#H}u8^S56Pl_My*=V$VHdYqr zV!DTFd#0>KZQ`VG)Y_x#qyRZGrl#Lz?HilbaovO}uy;TTwAx*6g{RV3Ltr{TeZY9S z_^Yv=xgU$KDf^Xw>VB^5KVBZi#sEgZvc1kZ)PkG#-r3rnHFI4mJ%)>mIkVp=fP0D2 zCU~)oYY_ENgabcWQnii%8)W2!c1WD1mLwJTCmv}57vv)|R6xMm{M*E68A>NwOli7>2JEzsaw_{ySMNqRpY2Ep@RN35oNs; zJphV+4S5FkG(Ega&OW#0e$!yq_9$$s9*>oAx?H@eD>Va9z4=X4D7G!RXJ(s;?SIV$He#TiO zN6MwnR*DTqA#oD$syA1Rj#|-($8L#7 z{yG#smFKDernP-qbCa(0z;*S)w%1C>jVtDKaF~nZc}tp71FvSsUVLE&U}qBQW4NoUoZ|&jfAtU*bV&K|A-l=mIj%u}PD4O)6s^*diTxNeqwB2Z( zYzp(boVt52C4u^j{UJEpZjXG4ObgQ{__*}j6q?yDZtg&PU)Bc{WKqx2wdn)pnv9R2 zA_0btCyqKl&scM2p-}leA#xOC=^zjO!>Hp&LIN#UUHE1phPULiX8{z;z+6I|!5&w@ zWppcVDi33sU(~QzQUMX26DNU(V*Q4bGdXa3ICSh607SejEbz?ATxYqcbMF_O zhu(*8tAG%!=?FF}JsV#3JcRRmWJ4qi+3Fox?jv~gM)`1;1PuU3O}X7=A_0bMV^h~w!Y44?8E-h=oZ6<& zf0H*N5$8b%re>Q?Y8*u!kKAePH>doLEHQlUpHkO#8oYw#kq7u|eqk~x0?F|R&2K)J z1$Qp*Ikc?r2}jdELs(3r`<$eGBdw4bJyxbyqcfm*{Xe_|lgjQ7XPmcq&LNCWkUVd}{e^ni} z?M!W{LkHk;X8R4gzono{j&_Rv!lkS#zKKq)os5{>nZPhkXT4^V+d~WYPB!L=yX!uV z;9|PaFb#geN<32rJxo;R^InH^NKb%(jHSq_YtVljFGBV+6dckQVyJvEIS0wE?cvGN zVAEBq-&^3OpUbc*B5w7pu${z71Z9&Fg)$%@K1ugC?I6s>gdCyy=Cz)7`Onz=_)wqKOkuVc;X2A z{(d=F4W2_we54DWaja*zIWKF}9)DnY31IvScr}k;AN{``<WP zn<{_(f4v#qzf0j?)W46-{>3abB7xAD)af#@J&yfd5&KMGSD6zO*#_n;f(mf9v;XF+ z5LDXx_&4udeoesczpM16plgT^qQRv*MZGUxb0h!;3q^{p-X_lb>5R?NmNfae`tn(t7+5Qsx4UJWWxU+|!DEkSzLDBv-li;uv zXrJt7i~g=C+ct2~E1Y;z+aCsxo>&mJ9GqsWXZLDpTPa;|IAb;HiPN z{_@H6BWrf=_BTcM@PS2zodE|B*?1slK@qFH?NtUU)`Q~U?q7XI`JU{-6EGY8FIqj2 zFjX|WMkx4jH;Bp5118K^pA!m%a@{(R%>YUj)J!q`zi+eu7d|RPFTj{*Iy1gHPuoZv~|+=7?;**NI zLZVauA_4wK#e-cwv~witve@;4sUPcpKEUtFm=4x_GdpkjhpI#scl4JD@7csAfL1o2 z)fK`zD4LkE&*1sNC`J4Wf_@Ei)QL%FY90&_Ogu{NFAkCekIenzA%Jja*PJLCBX|OA zhB-2`z2+o%RIzIl6w%Wk{LBFO60Y>4U+;!H0YAf)zyvjdX5hBAQpu5n2k@2ewE5s6 zMggMyH`LPP&?OcU@m9U*M|gNmb2_=AeKvr3C`I0C0OGU&#|{NrI}~Tr{b3X(|i^kAS&r>rDjT%a!^9$`3N^ ze!r0&6jg1R##EKj;uoFNq@5!P(=3N0i{@Do2=AOxg@^J)^EuY){h;j!i}RJekjY*r zt?5s=H>HsKX;gd9985;J2vFFJNe>t$Cd{1im}K@vwR4jD&c|+T6cxyj?YEf;TEf#1 z8%=S8dXqn6POL}-zl$e$H=qjU1@XTpq)<|O?puYGaf;V>8i8*r!ynCRFbP$T`SMMRKCV&CwO@YSrgMMWI5rI0NGt6BlnsIuS zF}~fTkuwCV7)Z)FUNGxED;dXv`Ip3Ter~RuUidPQ^P_j&k;&Ef9<;r_rQg# zMfdM9)ZZPHH}ZVDdduX!AtNDz@XEhrE5P-M!QG7R{Ybclh?8F~)d6ysl|Y~mzZ0kf z0I=<&thjTo+s2Ani6!=+Dm*TIx#4fwA$olM+Qe1)X9EZI0NZA20L)bB6|s&@#Z++&raUENBMVSba{fiClGo}xA0TG}%+o%i zskO!=Ul3wKdCO)T_LpgfdS$yDqTjZ8JBYBRZJ(`eoB@cmpIa*-(x~33t#_kMRNY+! zbT4^h9yEH^r&cMESX7q3VPD{m{;^OHtFXh=Xw}5xIVLI1cQD=9c;#4T4Do2OwWCm)UaLZJWoQlKy2EjLeih=IH02L%Nkv@YKO+3-hxY}Mw9 zNPJuG?WpWLnVrtGi#Nkl6KiQQFGlSMIJc!7n-o0HY%4%o`23#`BTNhHua(qs#8CN<6D^T7u-HnLin%zUzDuAJ;%a z)zitG04M-#zdoLQLh0e^rVPe}qo-A~fN*HZ1!7KE%ty$DNU} z-Rw9;G1c&Q2QDWVM(FK<6&pE%TofyK&^wrNd$QtsNe>TDJ9X5MC9uWUxsw2q7V(CR zqUMkC#OeZw%^DT(D!u+{EanHVn7Vpr#B%b*!ID>}C6&niz^x=sSZc2~OcbvEG72}p4(pHfe+mAQ=u0+}q(D;{(nG1jE zhv}71rq@>L+q7q_2MwLYT$dz*m5^^PGd|eRK+L=V{pTfj{p3 zCOt6)wWa61xdud%PyK!WQE&c`50FfM^i4{~xd2mw69{wq5cGe@st>}!_xtFq6Y$T! z<*vI&YM=<1;%uRgT+wYDNQE&XDwu>VUwtg{-Y8kS(HM8=PIvaX#irIgUx>(fuCBLxP+;;c zGQCAQ^Q666=C*OZiv87oD=efVgN*rg8PwtBK~umxOJA_@RTLpY@V24T4OpmXBH55) zE7^Kqxsnr{pv55MZ!wK^O|^PKj%00gEaZw0&sUb(L8y^hJy~=Nuo?}Mo{e4Uxz*Oj zhAoaXd7l)ec>I8*l8O-Dx63#18Nvmj2U7x1L012wktn2M6tEY!QL_{nGa#MzqjPp{ z?uY24@ZBPt6B#{m?T(FW%Jx0g17PrBZMxedn9q?1xWc1jnHEkrkgP&l$k5Z-F;g$c zB-0FWr5G3KhcL#I_ahaVMaD#&->mV>3ttJPLD6`wEd^;J|Gg+=7j|?n6vaol2ID5s zW=v7lX9Av_INHK>yv5;oi&1pYkI;)v6S=WShE+3XUP^wd@=#4SPREA_r~t(s;37)x zIKVe|TF#8A<3{~-ocU$|MDppx_OU)rj1*tKK8J3bAxBGO{VG9Dn!-tFd zd5j57cgaB;@+}M$CV*0m^$9MVd!Cbv_?*OBupUput+z9`V~-? zGcgkA1Y-dzp*b={|3)vJv%!@4yD3qgTG=VuB6hTF@jCM)J5;NJ$9&tJ?sUzW34qPM z3`RhpxeRfGCJ)x-$cxQBft(Q?XhK75HCh_vk}O6#?6isJ(hKeF{#{5;>LYo7AP3H|6Nc!pWH1C zPQLAXdl}8RvEwU+Q;d6IbBynwPgkbAn*Oo!d&crM?{`hy{du{&o5*$ra?1mb1y*V1 zfys`Jm?|1MwvDa$8z!r&;TI#@!Y=BDbL@BV`yX~!MBY^JA|RQv@(B6RBz~>Ve~v{) zF#Bvn?eOsMJ=@q-ubXaP4im-*KnrP+C;(!+(3eYvPdZxFg}I@;N@Yl@ze+_jD)IHf z*?1#Dl?a|Zi|GmpAT)vDHsvC=wX)x9ys#1FTZS*b&oRj-+Q_SVlRo=NNJr4*1fA5m zTZB`x2=+QpnsS!viZ%YuiC$A0{I!mID{h2=JV3T%ru#PN^$jhXf!oXf7UmHuGbWz% z=Qb(WnOw}o;tMFN6g!ZoHNov&!jjWPbkp1S(Rpy8Kr)Vn&#ifhN8aK_OI{@ssbIL> zg3t^>EhW$wu?PE~$egxs7#78|U#au2@9BuZUq4RVksv4G${whxtr4%|JxQu^(=v|y z{%SD)b;lS?*)w$LMczMG9{t9%9bC#ekq0Q7Rt5S)k3Q)Bw5abSK3a3`BR10F5P^aK z)iFfeTW;4FWUAahvc20HPP<^GKIg@&9%YfG`%%mKQ~*IlGhxSAdyJ0DgihWRBNoumky@UJ;?xyo!BLDnLs43 zq~NRJBcmI$g8p5{19=H#40v1*q!WRK-9GrtjH$Hl`b`}V`S)69@z1EO#7S-cAht`7 z=$^$(cR|a%(&S);z|Vt3dU+CQmVl|ZX+Ybvkc&j!;LjWJwZi);SN%sm-`uh4# zJNz}76WR**!0D(izI}j#!-s!Ndb5sw4mHYwVP$*QBJLmgcMoc>5-tghZkiBW?1lPL zIe!edgR^5czIVy(lXQ?PpZ|lV2K$}}f=~fSl#e=uf*MPz_!P=zo^$b8&Ap+jsw$Uk z%v8SqVPZ)EXx69Q08OIRw*=y^&9Oh1DnpRY7hf(mWz`d4LXpDpsDda$_+ghtsj5~9 zsGn8}O5m)uUPeuJ#KIJwn`$^h@?g{;Zwevgg?EYJPN0h&QVsl}s~a1~hq%;~>N|BV zhQ&7op$VIzQfYEPSy=M9*!bY_9IN~B{u3eV*EOHz8&Q;os`-Y~5&5k++a<;KL}nHo zKgeUN_%r(R^`n6u4@`nSD?5A3Cw3498Nnkt+EucbE!U7RVlEa zKIj#kP6JSVSEp$nJafomuMzixRQi<1@Wr>-5Fvq5180$P-kbml+5W5=@dqS4w$1(b zM%StmF-pX;-n5FCKr*ZT&=OfEMFX;qo0MXT2mOMd`iM4mLY#I&$$}iHt0;Zt6T!RH zR!n3FYnz@W60)6MButqN3g0X1#H+k4M7$>T2`d9M`Rk9v2>qP7%bZW4F`UN8r0Wj@ zvtF|fY z-G4$*LI~4w&a+pRP}*WI-piCVRHBw$_^aKuT>6|iX z|Ib~`D85SUUKG264K&om&1=(=f$sHGb=#iO%>N|o+H|t0$*w)TMC+ls{R;(Q>2}f*!62oax!ho{+t~D7wdmyN>+iKMP za|Z3RO4IdYpjcSrn&l)JXa;ZBIv^;3eLy@8MM){!T5B~QTqv=X0tG2F=Y8s+<;&3; z(9-a?5CJvt=}*i+Nt}qt!CQdl8YYa*Doaq}3Ri-?DI37)2!|MIgfG$iN}Rt-T^xW9==Uw;V0$)6^XZ zpaNLZUK9oK@cq^UZZ}mz2YBZbUAX@epi@mg=-t31P0Al2l1*2GyEM3eUaIxXRxEd%7_htw+;;LDuX|e0aF*Hz+HKXAh+7( zkjc0Y2Qv%6;9cEggbo_8jX7qR(Frp|6AbXy54e?MB~SLRNg&ZwA>r7Ca6z>dKOnf02$^7;#=;2 za7-Qu`FgsDU6r5;XkU3{3`>Ah@NXaBf7!0oT&f_67;yCv790^Dn$}x`iqJNoxt(xz z0f0Nv_I$1Yb$=+!_VIB5_3SCpRx}mi!Ue>^Da@FzHy{?s*lmzBAJ!%*4$wH$H-%rj ze($I;dxAO{swA$JU@*VOdr%b~4c@Hs9m|Bh^kj}O?(1L>v@)V&5<*WHd+JF&6>|l2 zh&Ua!3G}AvwY{pdpyDxDJpet&W6VwlD+i@TM*hK50Py5D4pASD`j6`3_*^P*LQj#y z10C-Xz{egsozs|R-vT;sSbl=w87z4=sLq&^4E7%EVwPsggP;@EOkxIzcNwRe(`uU| zs8arzP<;TvsjaOoqj&Vr4nC!y1S1^W-) z!pYY+Hi9_+ml6N}M*VApEhtQESP50=0Rmtmt3=@?Ciz5lye^Q`aE?ra@g(=ru&+Y) z&P^$__r#8o6E2g3c5&DosezieBH-n9aPFTLTlh8GnWx@A77_2C?*zP8@TpSq?L3xh z)x3?MR#!s%&hflG^;1G2Q#uv-sI-ZiFTSoLzfn|1YuGBoEJ z{~J9_@T~4SW$7Rjf9LMMA_a}pF{%HQuheI<43RnncTAc0d~)pcC8yM@?eQI?)u@1W z$t&ZCpAm>KDvQtC@y)NFj=oiqxKesuyZEljl_Hg$s7aoznu#AJkW#mdyV1egw5%U3 z$P;GV+F&`^YepUss&dqu9jKB4?ZBVM=(VK0Y^0%`_Kb*l$%KnT=b$#9T<>=YUXpwv zF`*DsVZoWHSItft`|DAN$(4hN*#86zxW3}fODnM=P+)ZlKo7n_%eeiFwD6Wj+<^Y- z%*_jwAHud7buK#@(v(|az~l`FS}WZrR{Tjdi@{8!Sh+sjH=Xlab@>m{LORRUg_7lX z4JgPVjAe{9mde@YOTKC2hl|g2oT#$=qHP$iHu1n}UCid|=Ip4wTW2@(k?JR-kfSdi z%3oMz+2Q(Sk#Qs}Tgz(D?_Tc%O^TG~omqN}5T2;nI&@k4x3NzfeE3bv?v#s#8f$es z-(JRUml=FxldOKh=R;01^)4?z(}LUJQHr;PvKn}otKQ(iyr_YSFn?gzsiN%<+@E7N zGwpJ^&@8inbMNDfcj75}%A9Id!mk5<5{WO+K$qHX3+cU+e*sSBo4=i&jXuUaV{d}F z2b6!y(Y%VoG(0(}v@6T*a;nNqCb?lzngy) zRn;%=tO~SjXY17ZzRJyFAkrNXLxWM%6d9YTi_EY6C!sW7&b0yz$t8F46ieh>AC~oO z4>Dqbvy+BcXeajF9=TukalKk^dAON9<*}!QUZL~y)=Z*8RFQ@D^j&?cd<#5Y7H!jA zuCjt|$cRw>n7pX1zI*4!L75{9!o1SCXt#aFzVjZ?*Q$_QCC=%+xz&7 zwfYTcMti%Na$HJmYo?p&DRrbYkM{Y{JTMx1(lSLg>+oRXJj)~Wud(rCk z%i1Z%=)1L4-SxZquA>5e6(Zu55Hhbl#3l z-9);UbVIlF#_n)jUKbUTQRQdc&v7yo*Y2-NH5}_H_>?8A`an}=jpRL5Ox4IR+ZB=`XxZ1yMc1_=<&L> zxz?5QXcNPT(9DrJ%jhCzL0uuDuz3@ zo@J3#k*DlTkkXNOf3d}Lryi8~9MPd282+Ix{oaY!w%Ips^;>Y9_S7pewxYHsYq3gLt>y7qBy>b_rIx)dvKQ0d6Zw~hp-*R7*jwDkJ9zeW$oId$i`WOwwe zy^O5=0a^s!uGymfoxXy-RtfpE5f|;6%yQYH+yd&UY3+l!Gs9i9OmgRkbgS;CDU8;Z zJFTDH(xAwg`hfi~taY|`D{HZ=fL+-`SB`lGL$VYItxX8cuD7;MF>>KyWhsKIotN6OEcR9DDo>Kk@p;lPD=H8}vO7d|n19*1lO5}&175E5Q>!~{#RH~6w zEKATUj+&Tr_d%(f$Fh0U$1?D%L^bwXaEWl-C6cs+D=gyoIYV(L)ux`sQ!qF^+X9;BU zPngy-Eoe61+7ca%&Vv}fubw+E?5sYkcMxxZBkNl>L77|Suomt0qCJZGvS}v+Rf9P= zjS~sp+;P4_zECyz@wJ~|WDK4YYdo&pX}Q5-^J6%xAfhW99a|>W+ScFx#?^wO!byPfDm`r)`hD*)ZIN)Jhq6Ks(~U$AcaIAh z-J5&o^nZBz&akGsrt2sO3IZw!O0fgdQL0oC6)6F!p@T}1-g}2z5K&O+2~8!Tgc=}( z4$`C~XhML{i-4hpjsyeW5uf+V4=&otb#nHe*)wacnL)|F!swXzTug6AIII_~ZK#!0 zV*-DW?PT;AWtC4Cn#~ghZ<6$7_~+pN|I~<7{I=_77TgKQY^R&E90QY9I(a~ob8YEg z8Ox6;!U{qTD@rXjR!s*$^Jo zD1-ufph{zBG^B{XG+bm*v=Y@{;GMNeY$3%LtPAyTPYKF9DIP5uXptcf4#KLs#ku@^ z84fB}F8t9=#v<4YOzKK}%ZLTSNV;W+V@+r@F{#R`SN;8#{1KdJCicd)OG~&~DQbb_kAif8y&mOzc;F%qxHi+3RN$CetoHjDE@ zv3C$$SKS1E-7i3C=k$AacYKIc8W=dqJ;;^mxCyY?UD z+Aq$a!i{O|nHb2wTq)9V{RuOsz+gRgA@6*MLThnWfMe1N7+!^2sNRpqIhBvIYxEa}C+gG;B2&wz^Xl9t>$Mf0PlO=yFMx))Tj^0#C%fcSa z+riRcG`UpW3WdHUJJQ=y9LBU9{mLC`zu1wEiD3P^j;Lr8mw!i99)2pVeDQC-RLCa( zfa>&L6^q_{F;i=w@^6FR)5iZWp6Sa<_>=B9C#Fam>W4}6j0M3g+j}`0U3`|9O#6_H zls3Z#%RFp|PrpJxC&X_ps2WJs!xg!uq#5!q)Ps~r?etVx)2 zE5X&MPWL+Ne4yG2%N#M#)h3!-W%s@owa}K)EpTwPca~Abmo^Hu*$SRPDbVEJ_Z(K- z-lEs8G>E<=+}5b}CzW{0p6mSCa!ohv}Gw@86s$L{a@1ftvX$k*o9eJ)*55J+Mp z=S{Ah!@qa__cc=ROmk-Mu2!SM3;SrY-HwfieZkwm@0TcniyR4QZha+Z+JS>n4KU}kVL->C@%J_e403`hHHGQr5ct}npbE)ii0D5}cA=m~2z14R6heby6YzqAk zpIcnFW6FESW_0}2r|AI{GEfvigYLuj8gDO50_P0yisT6%pi`Vak@b&fjzwhFevJNS z){$F(!9}O5pzT?}KE{+3Kekm3{~un3`ziDf7V^kb=FRX`K0!IhOV&NU(6br9HI!EA zs8nSs&)}I?E4x4hQ#HkvSw2xU{10D^WL%&9A1)QPU&sW?yA=rOb~%2-*he{fmYok%8unp!~see{Xz5J)j-rmZkdd!`T5CWWdk%E1<~XP1b*(4EUe% zj=iQefC`ZaJl+AVnbrOOzUesz7N)f*K~6gI|8C^hyz&6ov>mWBLCiqoKH%l4GSCr~ zBK6NB@PhjpY(Xl3o;Of3^&i}5D*{|_tv(P0;tVI!r5?k+yM$gNO|=u`xsdR0OZt0$Mhxm%Cht=poF4Ku%w%M@>vo4CRg%ex9O;hK29#$szECL36}>oXP;BP@ zesyKi8`|kja4m6f=w;D|R^H8q)x(J?{lM<`}CI^Upv+xj`TQYfLN*r{yq5p!=+sJLmJI-HmI*zBmcfe z0%Kh6fFPf@d*ZZbSuv>5a!Pxq)cT>eOI53ODBDrzJ+UjBG}=LkwRN4jQ-Wih1jDF> zJkEonr3X&XPlzI!nF!__mNKTL-Bm5e6=ZrZ4iJ?JkmuOgHf^8|5k2Js7(X#oXKK?~ z8s`Vyb4gke9r2u6LE(Qz^DVtboY=topspHI$-gqNeo4G!o$KebJ zGd}Bn3Md3R9J>|rOn17*=;Gh~H=?QS!2+l6r_DDDczXZ+4JfiyD`{pkn@+m6Gh~#J z_twF*C+=R{;@>u0^Hggl$Z~S`{toW)SrYVt`V9??`W4&{FYr~Hmm1}^?+=#>_owE( ze?M8|f?@%K`d-p}XGtzprERGL9z-};d*qt2Vn>Q77;g$ya4vp*N9rmDx}sD&W&BN- zw>$m}N?K3qP#MC$b@O$te%0&PvvzUAXQO=VzFa=R(ug@Zo<-oW{GS-mACI?C7dqkd zT(%V!By{XC6h^l%l>yQ^DF2DUgoYx&uQNf7>U6Dr69CMHD{Ge^2U!Lzg5J6lYF04J zx!S_WwTk5N>ug!AvDTN6_q%%C-jza@$Q8D421Le`Qy3(xuX($jtDI9bJD2=I#s1ub zFVfoclx>^fGtZ+2HJq@IvxVHegx%iVZ@O7V4 zfAC}d$ackMF0BvrYfVau79tK~J3;lfXPmw>Tl;;1*w@+ORQoZZhqJvZK4mgNjFxc( zEB%FI#JO~C>2HlVkh$SP^e(mLBwfL$sy43!V4d#+MLJ*tBSSK(T0J?}CKF~q7hdM! z{giN31`ZLf?`Ae>MCeSKSgzEPbG9)&rnOxq_3gUeaY~*id4kurrY6&BabqHEJM01b z^1{uhWSOd62xSNarFci#vqXN9dQA1d4HJ)eqd(Qk=ZRK-`qg}B;d^hr+9 zQ{)y#Au(yI;P*{=cF}kBNQDRV#R7>B4o>FRqz(%wjm=Y(SWT zS{L3=hmm2v(Oi^7EYFowRI++CO<9UHrNIs@q`b18JpBfTcO<;7wKXp$MYwo3oBnz( z0ftmPqdS#M6g19VnAMmcv0de65I3o4J{uFSEn;krmEX8lL!D>vDJ?S++G;E8luqqL zK@XQk@bvIMM$UapM&j@Bjj8+Nx#sN*#byt=H1dy6yZf+gmKD$+`B%q>N$V$BU$4!* zsl%t7?|!SeFtTnAk6va!YZq>;{4&lXkb1bvBBuCrSby}!B6$Sr#Q6e%5=jIzM1&r9 zLgm(lj3bMdl9dtS<;DFT2fsU{=hPMHwiGAbXbxe+GNJv>NtA+D5hx<$f#o-^He9lB zsN-D0CVVZeQ)2hTipnoNpxqQ5xY*>Gms$SgRF9Ifk#HV({pET7`qu@LO9{>7rjQ2yA4e^{lHED#+TCW>@Z7Ydwh!EVfEeF0M@%$tmEH5fP?=v-IVIP zRvF2PhFYxyHv4>+7XR@JBX)!r7&ng&@yXmWo3r<;T1e?u>qZ(j#xWY30A#Hw@hU=7 zkI}->71xU67+s=U!_FKoDL$2#vjIKj*j`E2HAyydn$8Kg0~&(Lgn>FWcX~Cqws(Z= z6p7}m9nJ(M_a#=R0jPCg!{CNVrAoFd&ckmnz;dT%zvCkx@x3{gl!sEq1ormoxN|EG zbcLey>f)ATS22s1rhHJPnPGnFzT|N6!)!jqtEqe$*$#eXP`d(B^3aN<;ib)>Lkh$n z8l=gA8H#X1dEfU6!<1XB=B8 zkEu7*XN-iHxnU9nZ%>S-n{&Iw+7Xg0)U?lZ?dy!0$JD&mAWD06h+K4Rs0IS(cuci3 zlIM9dH8lv?Gk}OPoKd?Urm&MR39YrAlumA2N&!66ZIrgpbM;CsQyU^VT*j zW-9gG+X6E%J1BBwwrufh)_A4?&`W3NlZ4>^7Qh);fUepO6eUbHpRS_!proa>Xz2$cfHM6+;+2I&$$>-%1U@Ze2_yh4+-qU=mH574_1C@&1L1!1QZum+<#<7M@U6`wd;Hu#OT+L{yvHHam}&KgJz z`$MyI$1GF1(N83c@9}uXcM`Y$?=d#ST>bz1*ibvBbR%%vD7UMBDXER@n*pZQV3A2F^WWB5B2H@p0LMdK-) z@?`;t{p=zj;peLryzCDbJ1-TSi^!;k_CRNa-4cDLLuUgOWf$|kS6Q{LAIOPk`3lZwRXXin&uUcI znC0#=S<_8r9yRA?8@miD+X)D^YYw_`U^oJO;@>4M(y1-FoA!Ik(5I_HI6ydrBX!LO zYTo3PU~zT{rWk!SbyX@=Oju^sm9Q `1{G!e4Eh@;z0>Z!^kEh_F~)NQU3jlWH_a zClKpeTyr8^O>Mf6rLCzEaVmLZ^xxrfK^yu3uHpP3OL=x=r;zpAz|X#%*N_AZDh`X2RyEx8wgyMHz3wGuY${ieUA3!FzfM;Q{CiZHb%NNS$5S22ot{y2~J+v^9ZBOVQ)C+yeq{!Zb z8{>y8-d=@R6nruxze#SQ=5LKk=SMsDKfkJ|==iqCI|;gCwC6ddtxo>wlWcXn@IMde zolDmBCFRy@xj)edi}$1JXUFH~Lyz3T!da`_&Lj6p$paXfX}O;VUl2l~Fr(1J{)Lui z{m%keFrnK`4Jl$wXf?<*s{c-XfRuPMn4?^=x#uwn4SoSe8hxj7oYmu5TW~W0w8N_y z1^e&8X^8g=!hFW}yv!TnQ5!XLD$${3Y4@o&50z;FS6_3Pk0P~UnCi!EDKf7-qxJn$ zm7`;rg;V`udn>wHku>)Zq0q=-PFr&C;poYkYrBQDm7OOhuZ>x@XpVwd8x1Y}eE)B$ zWtC&ccFqj_v0U70|!b!gY)1Tg35*bH-Py z4$>Qrm?q_3DO+!z`bL9n9p3xd#_iv-ATBs-#(Ns*hm2-^YfDueN381IQVjWi@!LeP zUfe>#prF+*koc&Wjdxu*$`&?vGC9)Ke5cT$K>Cs=o$vdNK15sg1>8>il_iw_zysY8 zU20Nw#u-hPNR|OR?-26aBTikBYqNLk*Bw&2m2LZJ&@^55sn0kqmR`GLV9Yr!n4EJh zRe0b9nw7sTd^5+Yuo^)TI#FNP*gKY9XjFe$$3q9#$9@wTnr4^8{b-8@Dd(vrE_|4x z(E5V&lM@QP8z>~@+1M0=-UOgyO%jo_u~#4w{O+ENx(QFH$?zS;d;y+=tw!^Q2gA~) zHDKm91!v69N3i!NYr*CaKN01F3ue8V3Kb}9)%91M^fKfE$RGTjixMyI%!dZhbEl7kiI(^+ZiepR(u_ zws{+^q*PttyTDVbD3U3=%<0jL--@NX950^`laY6S!wKllQlp=1x}jrZz`~E zxfJQpl3r1cJI(v+7qS>ByCNM?x<8uLYPi#6M9fD=#0O}fh>Rm2JbJ?x|BRin?|h1L z{Kt6vmOe4?`23J}gvfWbfCMLM9X6h)loy z(T1Va#`CgHZtyG2-Gr0zeX`g~18HlIfZi4a>3C8rE0WLU@K71B!k#OSY}&5K?7VEB zaYKa+A{I0naZTqe$(FwhYlD6EVy$imilQ!^<|jEU8T^T5-;#+WGE7!S1q;_gB=G%* zFe~aA)Vmo&@kO$|vPFoi%e&l<-OX@5nNkGeAjoq$Tc#uCtARefDyl`B&2m;lmK4?2 z4kbD&7v-m;hAw`yX!=D{YrQ`rCm{^e(iZ=F0rAL z;6v}r*$6+*3$|;>cYt;UtrPp-;^gG1#Y@F3icL!ga+rrx+C*pP1Fm7YSLlaYQ#Ps1 zr=hapJyLF=;JQOtZdAvk%KF|7!Dn6uTQh9|kw_kQLxC~Z(QWt*7XNQW6}@fU@5m!U z_n4wv;61^qBc{Ru85%h!K#?KB6Uq}akIO@37vc*oe>iw4N|Dk>N<-RDQjAEC2VI0n z*Wu0YIMop~hyvf}PQetJ7mH-k@N`ZisDt~RFiHD&fs>sh*E~ocGkcq|5qL5exqFM@ zREAYI^ud^61y)ODz%}gdw`bTcCWf-L+Km+%DfC5;_9a*BF0KS=)|c013W$_|h? z!uRaSg!cw9nzG5rM;y|3A!P^Ek1U^(@FUPIJlX;*DE6mRsC>-|?#3r7ce_$vmE1yJ z_{}n4%}8h=i;_6B*wfRjli|K;n2VLtl8V9^9|tGixI~24=T|uHo)Apgt+E3a(aMf7~#zfW5oX;4FN{Q;V zgg?@+yMgR9Fk2x#6qZ{?Ov#K@hYLE14-oM%rrgQZ@ppUh+S}e5$pS18l zVK2X&lP#d=Kac`T#2Ppa>seM^k3NGsWzGG~X*Nu8q@w&{G5BQH_Mw?D^wBE56f`Y!aY;~S<9ZH-?(?{ zoBFzk<)B4^GG zUFLrwY@@Q2o@26ai^PZf)hZV+NP6+@3#YaZ`REF@5lIk_$6AYBR6ty(bJVn4)Do{P zaVOz=s+^3BVOLdtaw#rj!87LwZGd&}Mu&VZoi}OGu-Cr!n{V6*SE~D-@5))Tx5aus zeroW1tt!ZZoeTuFqWO%_2tWDf(A07c)j$|>9ZYw`vikfd4x{Wfl%~|%eNn-(Gx_hF z-9Om-?kZW2pG3*KC|jVynS2<>P=QxRR<*)@-n;60x1W?nDVRjO5!#7HZO^SvSz07I~&>tBbgkYh~7zK z(6sxgf&enJa>1fmIV`QS-KDDwy&L17SUUf7%g=s(-PTMo;q#`r1Yd(HO^Q99vZIs< z&&i3m{yb-2C{Q#-={<}$k+?xRyHX;#Vre27lI0C90JY({=(vhf!}EhOdOzf%+6hr` zUxZyl_ZLofyD+A(3!Oe{CYGw9@zei-QWvoJekM2k>vQ`#w zZk%`Bqn`}Wk+k(BB}0-dp#haC#Ic`vdNtf!$gce2))@o|+{S^HH9E8^nF!s*7(t}Q zE4BlvP-BafAjv)s+0p)Fs$1_hDfl2F|ALC1*o5W+bFaAX9W|#iTch28ij-?4YDCqm zr`#E3qYoOt+x7;|5-UTzjqBjtn=Q~qQ>R_3o!op&kPyK&u4l~%PFJe3;p;IaO&O}g z>AWAbF%Y>;3-QNYGDMqa9OkST8Hr>=SM;mT>=yd2^aQ=Qmb!7a~wnTpdBC_a*2Qp5LBjlw+57^ixQiQ5#{^-HuOpv!4g?{l&GPNu&LgZ za;;~$GXN$ZSUk73$w?mnX*f`a@wxF$IP5`r5(6}K_p|S7+8b^sw)hPd*<3HfspyT? zyt&SOQLo{5ga|!!f{Z!sLm7n`+h=Fa9KFeddh$tH_7}pl65LQa;D_3IT*$Te;Iswl z%P;;?4g2l~@M?F}`TA@59cr~t6*PoyL+h$w94D1ibo(gxRLjvAap>)qc9+q4RC^Um zsbLvS%;NGg1_i&UGaOJutW62u&3y9oB?*ls8i;`nlXa)+M$^2X8l)=zT$)|dD0NTy zZJNQ>f8`^*srGsZiMLGmDc-BW=l$=->OhNW^orA-{?V@?ftyc9jnQil4)mTM1dJ|l zP_IZNs!WRv|=YU=8c0;H7JPQaVFY3Ww7w(aO#!!})FHQe$h)m^FB`WzEii zL^Nm16xkRhT?|CuP3~e{;!Cn^t(_yj@$eo_g=wWxeRhaj&VwOy#4^oOfDyUz<79)jPC z5ru|@o;kgsT~r{P1vV*>D9yz#dZ=4B@&IXACXm7T#6S94NJ3Ow$CfCO%gM=N*tHql zU|;l~cEeMu2l@#l;L&7>cU)93vOuU%->fPa9YlNPEnPX$`0*b9PQM6nZi?4+*q|C5 zxVRTPvLP^wiMJggfj|Ibm4II%F}%Y!da-vu|DBRGGv^OmnJOBWzGGaQRf0zTp_g)Z zeiGjobO-Ga-$sv(fYi-oi9*u1KIVKL+pJI(Y>iQ#EBxrrCK8vqcqKI!6-`s22rC&7V+38gKEUWNDcyiJ>wF z*Y|_C2nf4gYCZ8amsg^4f_QcW-byz{kiV_HVXrzfooPmy|2`L7_<50_z-z#Yke}Ky zKHjMjd`DNBeh!YON&`}h6wFw2shk!v8#FZa+BoM6qNWwHfr2^;O`I-J-%Z!VvINS; zwM?~%!q&E79<3tj#w|lgl6C~KhfSvOb$gtBc1SjZuglt)6%TbGXcrf zBV4CoZqmAtIsimA6DAaSH01O`g7hAbIB$UFV03xZp( z&Q3_=C_j<9y$Y>Ebs9(w4_!@o!1_j9Jh}Sp9QM4#ODbg^<8T${;MB}@>S&1Lg_B%j zErfWzCWUx33D|?P!Euz z_?1?45KnLDA!YVq?Iq(}(ejH~DO!uSIS&s*uBtg{pbRTDpMtd*RgBT+cr{${{;Ch) zixVuJ!jy;gp_5 zbX5t5V)j%IsTWyKz=n2VP_-{pf2NAcSVFZ%wF%eZr^FmIk7y3^ieUdEv!8tXou%~(W+2<*I z)~agnXz{)ST{*sqPgnxqK6>?!JqHl@DX~VjK#m+OPIFZoNGKPzfQxahV~9XV;u+ z&RwxNxdKSsxOOV{N0>LepW>l^JdDtjr;%Daj|Fd!(l5emjc-y)D64uJq_?#20!TfY zFo=_l0`EOi6wn;ml)u`ZBV8$$i)Y_g8bZV0Ipe2#krwJW#R8%mZ&;wSX`QWAcX( zBC_^is=*2yg9OAC>wy~M^D=^W`66mF5LcCMo6)Y-EzC{IlVZzX&s_#WKY=2uMA;l$ zdVctTlD0yg}p$C#N+pIE#!}WG~=RHl2NLM4sA@ zExhcVC6#_^VD7ZmM6nL1<8&Yj-}2=&O8GlCOA2xDd#258qD4-1V%ANIAK8Z%Uz!CR z&x$l*#)=|C>d`fE2S|_WmVC_^(XvDFcT5+~j@nl3i^}}b^;@lWG6T$A%!4>?|vF3X;hgJeJ)4hi8`>o`bQYy0h>+`E3_KILt z7@Qi_7M^OAZku}+-IsFv;^@*_$KJHD=SGrd{uj|@PS6EPKt%x9ngll|=cnX+Suq+s zy<6BhvbELq+Vc0W&(+Amv$_5&RtEt;#1(^r36+91!2Is3>ppQjLB~sRX&8_It-jl| zK64T`v+*xDoBR>wpwTGHDC*nNu<~)5&wA1d+{O>6cmiV%Lg6I-^LxRq#@spe3{`_~ zi^-xwV`Ti&tZ;~BF}YC)r#`-CGQX5kKLkB0qkJscoGSXUj0-J;|GGK2NgBQ1>E_%aOZD6+F7cME5e~ zr;O9rEM@v>Z>zP-9v`28nXFJup!5U}#1iZzUcaqH4R&80rnehVR8)cbL6#tI=Z8=0 zDcD^jD~N0D6qIg=6>5pewn>jAx-H**^C{pG2(+f&c>$Wrnu}kJ7#IDH#w5nA<5o_c znOs+5w})Q{zFl{G)hQGtljXyTtYNz2b&6_he;9eZWSj$7<@cdhnb^%l%T;g>wX zf-nbv8>pc5y^8B}itJ?AyOkHel&J^?rN?8MJeNMq9TzVpR*>(Eqm#_J2Hq}n(S7fq zqo17qg>)v@2-+HxX`@>{CkOm%(+w9TaMrLWB1fpr3Aq#+^|||wV%&5?int z5KeErA5i=o@she%|2{i_N?8r|)FE<}5budqhy8>AQwYE|gajl37Vt?U58=Bjt&gvrFh78sd08; zBnQV59l5A?p}oMFzX{ z7FOJg4Ip{F3m`bQKsE-8KV@^Pcr2d zR8A#*8To>WztAkZ%0t>R9`oK4#LMx(=?cV1iTCJp95)6p1zw4}_t)L={v~^NhZO#@ zl!0Zf$L85G@z*@_r+MBc`p4fU||`O2xi%uaLyT8;obAz8TK@a8|COcG=6!99DRU62_ zP=_8$!%E2{R}ZUkn=+z%4ldM+(+50{?uO26!3!L#TovGUF}y1(_ncZ>jz3#YIou%%aW93#eh+Jg0CCf&QQMhPem%- z2m{t8OfBxhHgV5jBx`g6IE`B1d)!pR--VIEyPT{SS8UbxSgi0 z32SwsHbuDO4!DZq!R=Sh*g9sXSR^#zC>Cya#KMpk>|q(2c~2PpDTuE+`o!`ejVEo|&^< z-yxW*>8Uesj`xoug8#Ik3n>lfx8C8Lx*-)-^+ROC z_B?3vX|$uy+rMJO)*rG>ya{`u6kJqlm8yw?SUvH(A4AcN~rx%!1%t$H7z)9O^ zs6Misy)>LTC2T_Skp87gyPNLwhL+b*pP5Q}`L9&(>JN>Tgtw=$o@vg5 zvGs5Urboe>o@Eshe+wIcDMZwbX-gaX-hYQbLdH3gj@`o4<}anD^|wVV%ua zA+p+CtToNBbo$3LY;s3u3hBDxTF(n7+uZ=CCs+fMZbZDOe?hNtq8!QjdWVaVp@0lB z?XV#uymDyg9@~XK7Z;YaQqd6geR@qeKzV#|W_<@G&CP6Rxj|i*nYu;|kmKTB;Y&Va z6+EsrLTxwG4iB=GXF0zlnvT!+TuBiDJszYPFtg2FBK_3ttnstj9rqzhJTFGJdepaz zO{7w6dT~6fM9wO5i@kyK2j;t+)mrdAF&Q*ae@Kvq5X`IWoUBlpJ&2YH$B5;OCtE$& zpXARqxux%%x$``(F&3tnaMpG-J~(?6oJzFj`%RjYfN`F_tI8*ech zfsP(e|||^f0uD|ek-)JH|aK1RU#;dU=Ct%b~asQ%J(SeRdoERSx-@g`7gwl z&!Kfg$2HgWA><tnWZttp3mnGre~L$QIozaHSj|k**k$VP_2bc94s#3#QL$gh_;mh6ZC0D*7 z2`P!&_zpw7n+dwuhTGal@%#EsOhKXO7}2{>6+g%RNZ}96p<=uDuH`NHR6Uyn7U_$) zs00Ae$w+v(kiZ(AE?|24acSbIF7J->VMkRRUibQQRtw79)B>Jtsf_L66vx1u{^7Fj zsM&K>UrsK1qEEPsghZQ<_uv@UhUb6uoOf~<^K%*fZ;_xkzc4T4ipAkZB(X!TcEdLm zA+l0icc%u!uT+l=)P8ejj_@ZZkVLebr6EG98`2wg8{63ZBC~SpRoJHC=xey2#Kk8X zG6|+wxAGll>nV07CP38{JTbY}vbO?zAp4~007R%Q16mmg za%207&3M;!w?dSspN&8M3oo~xIhLs`X&z@=^~d3yA2C+8EiR9h{}+-1FIK5Zl%QCD zd@z+B+T2b=&IQH|e~;htRFk+xp`mE9sh^M$JWq`Fy*WG2xVps_3CKQx0+Th|ociB%3DA2~ z$J@*(O9`$A0;o)C(Ztfu6iujcwNaXid~$O^_26P3w6|&T_RBuK#+2T(9U%{tD%>0kdvvgcP;Ap^l7W)fycPgI%P?9=HZGJX z<_b(&BUPhGkdRMrs?Ptc6X4lM@nT(MVfI?k4(h`-LzD4#Q*ioZv92@$>svb_W1W@> zXPg;uM=bu4POBG^C!B$@UvaNzX>V?bwd2nL)LrL1FafU9H^O;>;A_vQyO8tw7UrTo za@$%Z$J&W*J&;8%>A*ut&MGlL0EK~48qL-|`b4^CtY$$ zqyOH;{t$SQ0WU3UKD8|+P=JkDNP$-f)X=mWEts(JZ(nZ9y$Ae*?0_|WLHSyUk$N=r z8qjtsm1`=Naz*0L(=ApZrS{jgx+ zp6n7%riGSRD*knWPJ3?0*3el^Mw5k44rS8LeICF6OkLAfb6BdfvMFvW#H>ToQBJ7e zJCV>$j}aZUNz~XK9$5$dhj3-j<>q>*H?|f0g0S-jqI&zC!Ah1;{3Q;Kg%n-^na&)n zIyHbWRFakF{X-^Vk^g;~h56frmMLC_7lf;3A!RS!uS=UT0=lRa*)$AO49W^?;Zg463Cp zwi0pjNCPF-5;9U=x& zAw_M%S1>g{V}c0X#!fk0dL;|&C9?cPrG2IxDBNt+yck)P9-cB3kh9vk?i&WE&kJI- zSSXJ`t-5k0)zXdqEq-OLOa=V-J;T$b>Gy|9xiOLAyu*L|XisAl;mCm=R^ z{AtxLX@&s_K_ZY4%nj~JEVByf)DZ@?aoS&|uD#7Tnw}e&qPReceTnXeBeoc~Z4gP! zZ?%?*%6lR*M%vO2BC#CiK>*0UWorsc%?E3n(^Km&=8%ogYEMLdTzi)mz!*=yzaGBJI$E9mS9Bl12v7 zKeI(hT7v8IY;D2LybSIo6Gj5Ag);G4HW7*2cEa7nqg$aRSE)XkHh9g#N9?TRd~)e~2{q zV55A9uI}^(wK-Ga6<0HDxI-~tavrBIaZgBjdg9A@$o1c^m-h}vQIdMT+nsFa1tQUN81w%*h3jVG_M;a+f4JaU6cptORe3V=^I>8FsX|p|`cCK+{eXWQ?703dP!=#Zjg8;$ z<>aLt+SL*wyM2_S)qwyf&7h%uv4qiYwoa-o>h0m|kJtN2s=2>u&HKTphBwa3^%_n9 z7bpoeFoC4Ug6^=0FUvK8mqW_;V!2<}n`khxgX(Kf`)LZpR({ZYUEg$nUmt&#w>#4+ zHFOg6GLIWHKAuAubo;{A)#I-R4CF*xzgq?IIxaW;#GK$kOy)j#*+h?Oy!Ma2!A1)P zlT>~k-n(fCItcVX-CEPwcaqIBE?kL1VE>i(m|_vp@h2%`(dfGzX}fvu7kU=!TQ>kS z6AJ~}G`Z*KfiRyar?x}xDBswaqWth6SX*PCicubEp7ca94nNafe!F=M9%u`P208tX zk-GzGO<&-cj@=zkVBxFyBn^~vMs|-ysE+K3HJ5rQIXlqfW?bo#wvkaUum3GCh+K2N z(e0@5mpUY}fgaBUDM@=yw`MlWWo)&u&{a8wuTr|J!0AfTEr-mKSv+XDzhgmQyxgVF zg56sg_JUVFA(&cwa?Jhi)l2n?r~WLp`fpHYiWmLtyVkcn5(ChCfFI=k%Or_Mm(}_A zAc6suR~}^b)s3(9+$>?|kg;fjPSz5D6Q;9`0Q4TvG(qhVxsh&vRzzw-ORw(1TFAn5Vl)~feW7VK&yr*+4o@ya?-YpX{25ZbcXsE&Cxr?9cj#OnGP z0oDMjEStWAKvM~Gdk=zs8HBgMJP2#MMT^x`R3(?I`=vs@p%pWa-E=um3kf9MX3X7u?i zqtoO;5bu9%e@wxvZS*$K(1wiXeA4*tM6&o;u-acAAb?FIKX!-R4N&H87 z6+kaICi}f%0HK5bxLgEDc+DUqx0HN)VqMrl-*s*tLzP()W8y$9wIoR5_I(Z3+b`FZ zJ$Y3;p=;%-N;hrQ|4=D01Nza772Ppx@45r;x6*y!0R`3(KFf&u)`1(^o2;{5H(Uor znwB$U>YtRg8_QdWzgm3*S*PHr#`iA65j1^zbSjc()VJOHX>077)0K3f{u|V8_K>Nu z-6GU#l1?eQ8`_#>A`^ItD;W3-2=fpea&V;kjS(2=meZ{s<004xSv)y88&XuN>?xhF!>-VL`y9d7tI{e=nbo=gZD> z$ILa?%zX`zHs4H&R&^XIQe9GN{eCo)_6dK^q1N#93Gp~0_pwA|!w z48>h(I@b?%nAkHXHgk&(0J|(KhB$G=n|^V`zDdI?cw{`?+jQuMJ()4qc~RzaJ4yi*1W z7%&h2vcMu?A87NuOLIt2HZ&oWQ+okny;4B`69S;Rrn64`O1_q^cR_xmR~Le<|1~bi z7+YsFci;GW=v!}8UL0DeCeWve<2>IC^y0pbf;CW6 zYCJeNbj5m-z$@PSN9YRJzxh|?)n4~cOiyta)9#@(qqT8Jo9p_O;|a0%|8jMF`e=aa zgqwPE&#S&~!Kh2-VU0$=jMG1OTpeSlzgrcI!-Yk7{yprXQeGkuujsC95#hQ%2e9D- zKuXt+Wsz^pmHL)W2&??0SGYB;ILjZC9(TUTt*crb$~)Bd%EII0(Q=5$qTKUk!2Vtozqfx1Ls>I4ECSHus>Mg(|p@a z19ocWwzXrvG$U+a{z2r9@Kz`+<}LWZm0DmRuN^WHO0G&k1I(@{iO|n|49NQ?4+U*F z(4m?kK}tUD>+Ye@Je_Trl{IZyswG_V>yu)!z505&)FXOBiAqp(Q2hd|AWOv?(>0Gi zI&_3E!o4@_Jc5Z3oHq}qeCBg0YamF2WJSAb3I4kKMTJIgnKbT9;L`ZvDkG-WN4FMK4VG zP)TF-&#|KClxGAlk21oghOg{G!uQOo-L@{(UUGvjt!T2pdmj4e$Rof=d~XI1z9rr# zra03UE_m-rw~$mTcJ0)dl<6H{xbQ3SGpW-72ZXUY7_$f5LMT|pDS9F%5>^)EJ91ah zq6$fBV;Xl!fZ5g&*6Nyr^Qs+nre5Ol{)Fb2*d%aNZW;GKbFG*Y=rZ zfB**HC;-u_@D@+&lPcUD?(bG%0L7=*Qov_RE6Zp5!@J;?ZPtVaLGu@Im-b)Uxy|`Z|ZG5A%>WF%1jYyPrs8FDCDwzJW1m zstJbYpXg|TKCRW|EjN?gEos$;JK*pF6w3x1&?jV#BBW6Nua|MImsTApqreA+g$d`< z#et$_9dR*jbm!~_#5XoTiopJiRZak|KF8w7%s29EFSyh=S$4grbLLe^Y`s)khr<~ z(m%TR2-%<{n<261_m$Gg06fa|J=k048UL6|0Ab(V9CK&a@<3(+`|989p1o}5Q25tu z?#mf*Gl5Dr`;c@JR zCz+cQ*=lc;m@162*qSF`%LcJ)1iF zHSleBUBgq)LwgbtXx>CnSrW%727{5h+_&+GCj+7f3S|7;h!T5jTESF-w=mnmn{G48 zOoMID3lA`U3T-a<;ke1p{YL)UU}z;07VEP$WHBX+rMqj|VvZ&R9`5gw#il?}i*A7s zr&WtDr$bZlqW^3LN=(*sb_VyWL4_EAeAyol*g^3)3Y04n+9w5OZ8EtRQg(sBuw^rXap_LWfVA>6P+J!6-EueE$x6-$4{n&$oHYz!%mS``ecR&MUXNbwq~0L1%|6B`;IcGZXhA^^tJkgw&MHh5V-_(omz$%?AZ>(c%yDIT2rgJ9fJD7#S~Em`*^6xvsx=3zw^BRU)6r&#*;+fvl={P zV%>54juOr1dxfOHE}>{K=ir~*@m9%@^^4n_%$25ogOV0+J?p3?VaYY%7|MvrPddDsFn710CEkF zLG@(jqf5; z_YC}ZdSl0n2`ySGj{RhsWE6^eNr9V3?(B!nJl~M8=+6vL;79G(X2iqLLX}dHcYb5b zSkHmD@-i>Q;@*aOI61&yzP1cL_C~z15>9f0wFsP?l=k1PG-(@-QUfKMkgIzB$nj-j zGc2Qy1}lJc&6mZQh3cpbP}pr+`QtT1D;61L_?exET6lMf@d>sa2^$K;^cbP}1z-2r zf|o@PU+kELpI;B_{LO894-}*Hn1!JFjRPhFl~9E7FRd5HAzm3LCHM_Yd$!Zg>6WcJ zoyXCd`C+0a(&+jf0GWc?mof|CYa9(y1tGR6_@w`zt2z#oP+K8@|73 z2tDg?mLc*}II07CJ4jG0EcdRmsyS59=b5FEDfUv04Luv`StdN%G^&3%EU0eSh|5?M zk26-A^3DtPT_O|l?XA^V5nDk0P`d9I!?jdPRa6+mB#8P=pMT$@C|ive0Kq6ych8W{ zRKduR_;fbkgA9zXB}$bN^Nu%h2GsIMPx8QU0^~b?>?9D6(9ofI;zuu;zUv+?)~t=J zW!Zb}ujsS4rqK!ZHB?7Y$mbL!_B9=p675QXnWnDdilmTfi!bL}93I{BR0wr2j@|lX zsd~F-`=OKFbIlMuWR-Y+B|F||R}ZVlrALUH=`u^HyP{^Ee-fYcV-{!GDIPrvWdM0T z?FS*Vbyo3u>(p3_4y$_#0S+5YKq1U4v0$&pW2%NhOwA>820H-IO=E+qoLc5?`I~S~ zT!txQqaQ~5zV%x3bWYP1PaYd1Tv+NKs1j(BYziizOW!{ptAH>%exkZ&UpwQGjSqaw z=CNm%?6J=eV=qWS|y=vH?v75!MaOrd>qPl%E7=P43(Ro*N!zm`KGjDyz? z_t6vh=>D%;;-uitj!K}ajJ3tP7VVy^SM2NA>Z332rZQLSPrOiN*0HqlF z19<-61uE?G@xv9rPNpO9oK>3j+y}Cc+@}uQ-94U+Y?601%*qcx1CYuSlf&mwIMZhk z0a6!fuQz6wR>FO991qUGWOYRQ?81_RCM<7ra7@SJpQ&lR*35Cj8*TrWp~w3trmW*W zz4TyAGvrd01n(qDt7nmEdY+)3&m{6tmHyV;^nYN}x0`i8C;DuV4NO^4bw@tefzl^r z;{wV=U>*D#%PvyKi!Igu8hnTt%unc=rSw}yyy*>!85`>S`A_aBFY0F}UalPznZ~Xl z@Z!n8muwd+CEWN?WmDsj%yj-m%I5-tEL_pO^wti0oEB!8Gojle3knTOR(_ts{@G1A zoRLszd7pNR6BWDpM&uPETs-fo^y?jq!|pPhw@je%3pOf=!Vq8>tjzzsOepDE)t4;O z@V+b}z6xp}(_(qy#_vCvNPcXRn6vQ%$Hh5E(v{3hMtXYpiN0oR5BJ{b{q+DpbzOL0 zO)iZUaQxFzlf5HNV&qkIjflR1aL4iH+;UX-kAA@k_M$SF|2q6f@4`R`DIXX)oF8xM z$}0z+1zd*x4x)e20xyqjcr+e%088kk5&v9SlaJ1&GSpl=Pk8yQ@q9|Bs4z0`PsRBD zYWCpb?W2Yh_EXQ3s%NFpA=Uz_^7EH>GI;YtJ9X=oiM&b}aWVTrPnV}J=nx$9F{}DU z_!DcsW}9mCNv^nT68sLhfo$?wUYDlGCKMcHC6d{Nx46Mr0*c0`QI)VIo%hx=Ttl#; z?MAD3VsP>BU^7)IwC01csL!b+IaNuJWSKf1%FQpdQ1@=&$G%QfpF@{^clD%)u+QQk zxM4u$q|c#=+n5YSuQ6`2{^8+i`o+^gBB9*u!FgxG!FM4VIdLlQrti@`Nw`G?(z-a>ns+LZ3d(!R5D;=W0=zTo~%b!t-w!YIK<4MKWQJ-Vf4 z!>m9!w35GaqlsbD_oGW5+0~~3rw;z{*g)Ter3PAnF3Qs_Oa5epsehoND#0HLPfLS& zF0V4~xd^<@@aEl)OiaRlS#X0Oi0{p-+HO=~iDMC&X>ti0q5zZjtIdFqk!J6DBq?|5 zrj@hD+!gy|L1wb}!S&(XLC57hy`h~iU6p^Lw@`)7)H~NJU(Lob-?{M>(TEjpV%@WR z%Ju8Ki#tbvHRGZ;N;NPppz8c75#NJL#_A(cY2EI;Efth|<*g#avH~-uBjWO2RxwzVD1>ZW07!S#i?S@Ep5H>LC@6BoYDt`#uyas$#)=7U1 zvt{|j_H_HM$a_j%*EQOsLV|!5TNbQ~Hk0*NUUFpti=JpVQ@ClzZTl9dt=EzXa634) zf=A~Te)e=9xsL!IAi7#3fGRUOsu`94uhSa<_C6R5^d|*st+iUd$Yb`X@aRpbm0<%Nn&r_SI7N_&@K+mu01v zfz6UAL{w2phSwFLXfT$U-h!!eHhovqUp;>Dh6Q~`?0NRk6vKQ|T_(wKx_{L` zE{vMVIT7s(zfPde8MVjkc;haCKvtL#R4V?()hHV=^cM}jsVCSzN)H8@#)*#o_AYh^O-U^71rqccffT?r;NZ^68Mo!|7mE~cLw?fhV z{dX(S7<4bf4b;J-#kQ;A1V`;%s&4M`HC2r~!v`>*A7Axp?|>6i=SCYTXr%O!QT5qS zu;QvWvH5q;7OOC6Y4R1ZDp58Ek-NM4e(FXIBrDk(Hj{JLTLBezZsI$+KqkLUj{G^S z`?GPZ`aoG!Ikb>BbHB!LS+r&!M-TlPX$pEMnT!`$b5OLqhJ-a_m~S^RR_sH8RBJLK zucV#g-5Iux7PXzYpkjmc6l4^wVpYhMRpd8hJylXyu86xDFj&S1e_xaagYh0cuYV++ z>+9cAtg1m|zrJm)fT3|*p*+l0>b_~nhx_+jgYiri4s~+>#P4J!9GjFX;?Cf&MqLjb zP%3(5m}2q9nz4)lRe2E0O4{kfqoJ)N9P!TY{8slU%Iku(KUC<3)X2h`$N$LFg|Wh+ zT(BGg%o$1LhY&W}ya|dca>Kr>DA_-snfK|Wl|o9EP(>}&<+Mt4HN=1$SfF4h7KwzF z#5Ry4DUDvflKkcW*LzhH4;=WzU(7lxoPFqEyT5j}ypkFaj)bi@p8Sm^1P}}rLcnBvV)-MBX1@=sg%l!aP7h(;bjJcCmW1VxQ84KBbzTu+Huw0!2u5(h1FI z^sz5SNALsLXg5eVKp7$zi}A1#H#!ZEkXg8C%Wb{r4)DjvHyn$1w}oG*FbL3E(RqDB z$KHzE0RKOL2ri7K26-5y=UzWKgV#p_!Us)*{uHyR`1UUk(B-lej|_(z1n}+uN}Gu} zk(sm9$fwhLi4QQSjcz_EUL4Ett!%{A7TUx)O&?)}S8WHi-SGkIT<$}!M5*fOauWxV z^6NjMkTCUl#|cSvAB%r98CWd~-~dorj&vojR<{f5%;v;;1$ONnU2v;3$0Xw5{6F3w zT((}p0^+R!kn?~JJh9*Yc)hTy*AA*kxu@N3$jYXC|btaN+LV3?vq|Jvw z!t)pH)cFdwY-R`_RID!a%?|>mUs$+yGRur@#6N|LARE(O%_&8FKwrh)ua%We=a?)% zz-?&&uh_*+w61n9)G~^hZc^2_VLP?Cs_$Dm@!vbPJ`ue(4sQDy>}gR*QABHoLM;P-vmHYtcuBkybxpuC1pY4>C*{Q*J6ld*}CNmz=QYZjw!KoE&U$XVo$fyIWnQGYx1l{$n=rKhcF8U+<mhioC)j`n zu@)4xJ3FH9vbXIDN9S>gbe`jAQsI6*Znq_5uq8Pw-7vVQGl6){Boag6t7nw^WTg9! z7`mA=8cnNvbAoB3JK1K%bp}>?+PeSHE|b~S{c9smZz+HR3FG_ZCu0BJ*uGkhd{+7T zc`{Go5Jk7>(wkkFYUuWx}0l(XNy8<7e_ zGN_5|3ZQG-u+FGrmM@`9xGTf=(IMqDPj}F05Y&g6`kTi1L>P3<;FziEs@$pB2w%}_ z$YQWW<{x-aId&hZjMkdKmV3AxkB=w_HFeYqlxHAe)4!#9N5gT820mj&g^efzJ<1f+ zrHQ>5lr%`^s}h6PL)fM{Sz`806ivx|I6efKr|AID>0+M}-wfEVu<}5v2F%o%q*G>< z9Xm^(_|D)A6L_CO6a@-ATTc*?FW&))*W}tJh~M?YrI3g#NBgK#GF1Jp3sgXOfMF+B z1r^4}#YCM((QBoPkCaQika=yDdyFkcH)&yf{=WQgM_aGY-3=oh7pPH%0&rZ0riSjT zNHN)BS}qU-=Dr2jzEMoZ{WRi@aDeSr;A!G&@@<6hO!Py=C=Red<0u+`>f5(<@z=4x zM)T2vqLwdFij9q5C1zy4?wt`Al1vxzZovqSDKs?QUhK6SsPzI`9Dg&wl}dgw%TEm>^@30;p$=$rg3Ll1UKj z8BLtO6!-Q9P!)!CVClx7;YI1?!-;d|geLjBD47zg4@^IJ#R*?O4xxvwoEz0i6CdcdDnF#4F7Zs|m=8%&dO= zO^ibg8~!{uzEc5J71bZMZv4c6B^hO5alAGSNSLC_f9Wf1J8}XP=>Eef3+Anu-}~Q1 zk=U#v%G+v zp7AiVM9jop6rDkUG?nd~UoE!nyQZLhoDKKp?4f}D7jVzgoT2b?-fLMmS82VzI;Af; zqOW`virvA%<`OM`46Hr9_qD!rK(Zd>2>pCN;RtwI|6;8Vro=fv3tF%WdgIiU^E^{Q z6;za5I+83;ayHXf_>&~^Ac+VPhAuyqoWuD)G4@~IX!1%(N>w}jn6RRawHQ*@eRWYR z9b0Hz(O1nyICl$IYZ9C&{1)E~-&*=Y29T**7z;nkP~7xEDg6cgY<69rc;x=OX~3}A#!8{!*S78Le1AayhEl$|~EJpbWU8@CM5O{qi)Wjqz-?^oh~PRnmC_ULg;c;X}k!N)CZN3Ej-p zdSJgLl%ft2w*Lua26ytR_z+;~ZIedWvv_4>{+v#%{pPeR(JE0E)QJv25M_9@$nR)P zOdaS2^b4+Kh)fD&{NL|D_%K7?e}S7lUOyHvyAICiA~C`5-}3!_oZ$g-o}Obl@BdB> z87@}SNZtXm3x4#Cnf$$~YhPA+Zd!O9DF4A32(bKMLms4qD9;%T_w~u6Mo5kNd!{V` zJBdL^5&@}*O&Oe3X_m9C#wXIaA<+r`09|MS*fQoiHKyEJYi(>05ljRa`Kj0U-UBN@ zOv>e9V-?Qeguzn@F?TFR5vxYK+ceQSSW zM34G$rQe`bbpsyI`sLrCoVI?oau1hX77~Vw@}T#s{jFbp$27#(7zaRb27!~E4mNx% zyFP|qGJgV-9H9E`mgnMr>XJ!)koR2BpL7q8lTb0oU%5Xg-rbz2>yz}T>U@?;sr%}; z6x9B2orL=AeIf~GW$&6S#mRLvN##x}$gOodMP-6q+-gSbLGGFw~f|Zyp^{?UtFl!X$N?{-h`qi01 zn+>;;a}Se6_4)m@iAy$ozdL`L-vf03YHeEr_>>U&jfvkiZBr9Us{=ib61&kP48!3C zh*&8K-Hv*t8p_S;->_@`xfycGTlG7%IsS(0OJz_@ZwoWb5d z8j2Oi&~dQW?cbcKF2vSP{U%zgZN&R?9vXh`Fmc?pj&_^7P2hXY$?}rORIK1;aUVF0 zX3|Xmyly@Rp_Nb`bMWO3h!#FGyZKH@>*2OKN}Ca!fPu3DL~`chjHvzUH5_I`>DbEL zJ2SD+Px*%|5WAE!iQ=+e*$oO=Be634k4i+|`*tkD+PJ!nE?N*K|Js;$ZIuYA^BoOH zP2CP3i~BICQ|tURHR|RgP)P)o%Fhi9(LisyOr9%x$ZO3P%xH3iusz#hh0OUEZM(uu zM@AE-(s>(lbVX>bx(Zd4tOjm_hhSGn&)Lq=WhhMY^prmuK)HzY`Qp#H^zu0JlZU<}ZyD3BN zEld~vBU~^h224+!a-Qx}BLZ_$+l;x!(ug;+XSx>|DwjcjgH%*DVL5Gh^Md4Vb<&Tx z_BdY~+{C1>!S=s}Y6}R+-3{5<5TCc&nn9@s+!_zqPEK8VJ_Iim*g6sm6IlIm4aMB; z`w{UfSk#pzD^V2l*!fxLh$&ePHTOL)*A6HkDP7FBS1(d4PC$;T2+;k4i9T?W>Uq5- z?CVx4fjPTPr!L#KeSp5GR$0flu?+lLmiV5N^AXbOC__K6DX;AH-}u32Q26h>9q)?} zb1>1#npl`Ea~b~ZR!j!i$2-W5<&)zM;D57UwfABe!w|n!ipVdAp|w(USLBDi%Lvg8 zDP%irSN{XKooSQkSgp$WxrO9uYV*bEf-%8OS&p{|Sp&Oa+c|*De4qv);c?+q$^Ah6 zUh0t`y_0hRNW$E^hG+cZNzV`Ba{9a`34eHtvxG>p(oi4#MH~mHTpuqH?r}#<%a0?i z7dGB6knIX`TYw^I%6A6+pUMs<4i2yVGiA`*dT^lsk8S@|H`|>4r6Fz%Xm#D-&2|*b zTbckc-UM4hn<6#b--;fwY-I)-r89d4ms8~&%%xE1JxhpE9wH9t|1+u|qfZ57bGq}? zOPrr6{zDIp$d9#3L2LN=H3|1$z3t9F?`N6scs2`{6Fpim`TpFoCwr%)+ zxv0I)`c}_o|dkg131&Q^?_-M4~*%$YpBnEb0ZA%*Rqwo;oH?xg5 z7$xej56Z=orhRjx@KrDmO^I8S>_@MQs_uJ6p3bE5?`)P)4M#+3k>{Eiod|n%iBFs8 zpZ2hPjyF?*1|=fEmemi80U;}T0x>ywWYJ6gxYabKZ)~g5mJ(r zZwX(4ti{f!iOX?+x5|*Y93iu;OKTWw*6;$5YWp1I8NRNzMCe6E^dRll zn$({GBA{NLVVzA<-lOz5-_+Ei;(Mpmw}M8}J@LV(KJ%D(EhBlqxJP=bp4o7gYn!3=ZXoN3VsO{bciUSm+% zdFy9@h3z^@^L9b9UN=ak3b(m`6{t~$?>vPUDM_eElsvFk@&Jdu$-}v!KMm>f?s1Nf zX#6r?Z;IC%b&A@;bcGz?54jmmi+8zH%Bn3}PP*lmHXzxpYl2txhUupluVR!9ZIAQB zD2`17fLjX|iJ3&yf55hSB>c803c*xj&iqqlEp$}{Y`+!7W{l1h794+iEgmcZf-J-% zqM5vM0{i@q?t0HLlTI}2Vc<~BAnU}>f_KCBC%4($1ZCr1G+FnMd@$x3`YE z+P8>{r(1}81P5CPFb=K%Iju{uzy_V19i-oXp|y3Ih-Y-adEOkl^qa~ru=|paFyUh6 z#4ICra8RAAtlf70D?RxIud2{FcDnj#AZ=fgdaexSQzgRZD*}!n(z!x@YkX5%FNUt; z;PMMu5H7300sG|*VgxxW9KrCBajudn$?)|>P|n*7J;j?JUN?2FncSQLUqo=<6azDf zLl|?m=sUyP+j3N5YG~Ktg%at7>lw0v>WN-~ACR;~lqG1yY7nX-FEo91H>|LK*Wbk^ z*tE6aUrf-y?v&S_zZPB$CUF)7xzft61oB*h#)~X>MgK@?p3pbUu?hYY|J!On82+Tk z(7$I<{eA)q{#|gs+(~+G2D4^awW-%P0mYj4u+?yAU=}#O3Bi-`8@$qBXIBr*@zSu) z3+$6L?hYkHL)+$|^%Kz9L;9WMSHxeykQS}o1s0pScT@6w^ zq!mKdDR&K+Q!<>0PVm57n@00bc4E;{ZxKGDJs#XX;HSZEuHduGePkw~aC?}&^wF0C z!I}5rNA*jFhev6*t|?N!{qZs~nOaf&yPo0lpbC9fcISz6vHR z&#r>=>@9~-mAC(mZKhcHpd}V3`V>Htg1KBGRU!B}`Ed>2tZPw?rR?p6c1xDulfOWb zo`ce&yEm)|?VsLszN|a^qk>m-t;EESiC2wuKahv{Q%|)!aBj?0m`n*`x{&ff* zsk$_;lzT&1rGE0y5dg`ML+ie+adoI0%Z+vd6PIvTuyG|b%tal|?^WFUhwmysZxmV< ze}h>@B`n-PGxw=oyXV?JFcysugrtrn34 zct8gA8`BIRKoa>D1eh!!$&33N+t(pZq^g0aEy^vv(0>{=kIf!}K@Y5%Lz%!r@ z2C%1y%G?hV^|bv42kX_S=CjtaF=?|DORma=^ARFP`na}bwfAF3UMr*1? zaTU_+dr3_+eXzGed%}WG>`7>1IcT0S-Enz$i?K)i2l2jEQ?=>@;zCxxWlAf%39M)W zfNGFaZ+}aWFP_iw;S!-(TnMQnPkw~B zWv1-`Lv^YaQrEj%Ty`xjN4%$vx>tw#7WisoP4zZV5Jmp9BxR+i1r8FXL<63@2${sc zlHu9W=J)c+UTRVq=eV>EM*D_saGmqQx-W{NNy_wlQx`f7Uw+ELBj&JE3l#kN%2{OM zc};C$Y*iP`sQ`D?z-Y7g+kWoyr>E5v<-%kzu&sZ1*|Zgq^`Yz4^@r9R3%__&Ki%R` zy#{WJXu_+guxfd>FiPyR(Xlr(y;k4c253Gq-jcjYttS@RNi4NyP#d;Vf(PtHiNtF7 z#CkYx;Mr2$)*<1!07P5f$k{bDCu4A*YLFoBBXhkI%L=R zJUVi8g*l}qG2KYnMopmhwhPpJ{`PJ5kpYe^S0Kv@I-*ml#LPJ{R zdZZh&vFaVa!TL;mz_p=A8NfkqUunlRT`>#4dyko0g5-2BF7{7PHx)t+y5dU>MGA-T z>T~8&<2_#j0&fsH=5gQ~b z@;{H7P-uOX!$zy9FR4h387*UmRq7_({?EM#LTzJ|R`$X0o}StO7gur6NM(o}cHXUW zS3Rmp`g}h7%^yFSq}y#gOSWx|6Z7P>K+K2Pt7;JED^EpCIXiCd+1dw6alkLKv{;?0 zJ|*zCDxF{tz*=6<{d9@2`nEo_yKR{a5O(|VK7!8ecz}^xaU$PlZ61=vTBloL)bMfp zpSw$*tdvo^pnl6n09+a&%}e-&yo#n0SxL39+9APh!~Fr*!7F~ zM|hj{E&jYmcC_0f(?twoWS>tufi(iOP==pC`* zL*?ghhaxmUZcVc3lCm)9%Tn!fHCTb`^gi%-8gC3Bb>4md7$A`4s?N?7*Unv>Kp##> zJt|=T$OT2%HEUbHAq$8~4aAa6}|oa?US`3$%cUH{jyK=q@&MwBwaa z?@tbDSMVfiHSTS9-mLt|;~@t0a7AzrO%S;4XuvBR_*c1~e+prGBSJj2YiU5;FOZXW z9Q}O}pGjek>kuX1!!U&+*3)k$Ud#f3oj{7%+uPxX4EOLQ0W%VjNy*Bj5T|A58_Gy+%~YAU3{{l~%U zU~3|F$A_0TJF=nOzivHTDKSs#I=;VeuB_%X>9P}Frod8r^4;ZiKG${6`HiW7X85yR zS|`Afz?Q3QkkufWnH-STdIn|MPU)bBg0EnNRG_v~gZ#s{4HAo)AT9$TaT?3g#}zxv z7=(FHx}Fo4T8)O0l9($Kbrx|lg}!K{Y&GXrc)iS9GDeg zs?g@5NE2)bzSzvNx@+ri`$=xKGBOU45WiPx^bD->*pPNrq-p*2M)vCT=9}%9KDg~k z!rA8iI5X|4rUlxwyhV8PoN+(ZDDCYVdH~On2m}W&Wu02!?ZHX!G-)Kv4cT`osfHgt znSOIIG#y9+sjcuA);8|!Pix&JP$~cXqQJ4#I6$)nj=zGr0~SDpYQBGo&|#8N-X2mN z3MB=e{ZNq3dnHRJ7lAl>)A`FD&!nMStxC3Uyd;uL2C^G>f4M>AgJXrzVK&~!C7KZK zfyT98lWr+C*|jbsCH_N98C!SoC4QRAxX|HN56EB4OiHe&f^b?f^SfA_ZaepGKQtv* z)>(@orIJx|h~*bbi9K1W?Y3I~qaW5@rA8`MDKqm~88CTKbWKYv!L%4pAi1Emo%6AA zsGDsu1fb$EO4W?Vlb~)-QO3VB&g)t=-v0aR1fP^jSd%|vH4_U1L(XDUrxf%lvGUo9 zW$l+Lr!%M28-qXSo6W^Ts7lKVsB*1c>26J!|GBE10>Yl|r~KTOP&qa`R2WKX$|>5F zL7hU5pmp$9oB!8l@m~eUiqmf>hsbhjIFsVrVPuNsghweHcjK6H@qKBKT-zJmD&BeT zU_iILL1U?dh-UnawSJvZ?c2A0rQW)(Hy9&mA9A1h1{G`;pkWLMLYY$ANg=nq=uKNuB-<_i%s&osaCRv!PYPXB`*kFTq!e}ty21y*4* zAFc@b2arnM7VQTMfOMf+wfh z+z38u)8|w~_Al?eaai*(m`h#RF-!K{0u``3H7)jnKL80crqfdjwC6OxqGkrGQ) zw_Knj;iCW(!2^760-*o1#&^y(x7o^*Ovg#ix-SOchXeibMrDGF%nkMO{T~ClV;;sou>s+Z4-0sr`W|U^pyuS@;F!FYj*@Las^j`co?ba#c@$;<~H!UO{!bkd%QFj6PjTIIc=zt;sKluI`2^tt!JRg^)8xB6~3a_`n@`EvDn3zya#q zZf@~`jO|`*-8+3B?N*QDP2PxyQ+VdDN@#(SY_rvdiuV@k|IDUdxEmsEA2cTYml%wT zdo*2YS=Ru93Db+q`Gz4r$tgtO)b&OFO0Q@>}4> zl!*!Ers`W6IL&pbWGqFd=!^b-QKTP6n0csI?X0^tsqgRZI@e6T)%!$}DPp*TUucis z&PTjzdk48=;5b^YMgXAB92p%Qm0y%a$&|K0vJCd_Ruu7?GED89h{6)SKo|qKXI~&L z@c=PRX+Y+ohv=7j2Lx6S2f&_nAKk?nX1(y;WGAz89T2N9*9>H=3-r|T$b@9!g_8Rz zSEvMF5nDP^gnIpIJ)c+eP6H(^Qk-{N-3QWyuCwSV=gZyEZnPAq*JchfpR%5a@2Ezq zYXrR&7BZ5oif66Jw%xJ?)-wMx9A(}ANvjO@FW8LT6VSQ|d1krO<$6#b$4cZZLCy*2 z8S1=-#!pT8V5VuzvS_?XpQ%fNj0ONqPP+eD1?4sZS-qS*N!iXcwXq=G%lSP(Qnc~? z=>vy&bXQZZ2dtqoHKVedMIT@KD_geOKW^5%Xv!Pm)2L``nBTK^TWYkm;}w%pCXkrW zXEcKm?%Qwdk~T6M=r_0Ukj38mp6`=Q{K@E^>L*k%7wZ&tXx)>Hw`q~f-7-sd$p%av z87QS(bkM$96xwg`m1C+<)7r0b{xYk^NY@YaTPIlXUr9Rm7L7)8v8nKC?BCTxFo7Tr zQmRh5mD~=?1Y;(v_JX}9!Hi}j0L*OE@aZlPu;vYq8ka&LrW}Iqg&CVMfTViaj}AwA zrz#6y6}Qr!H@(|@Rj8)T)#a9T^vDj{Yo67yX{Jzg7qf$L=D`z6bM!shABoe_E&IbS z;Nl}zA-IoETV2LGa~u0;Nx4PKkzykIZd$MRU2jk6Nm)5QzJ>wS(fu+9q6$^wf{tE6 zAd86m3b6Gn%*kvui41`s!Tz9#lJLPOL0vA~@RD6`l;R*L|FR4&yEm~qsrW9IU8=p1Kz~v->l&xCRsloRS8c5a(e0?QNf%L~_L zZMU1q+%$$=`ku}2wK)5D{hV(SY&xGHE0E+ka_f-2l-&Kh8ffw{u+~VB(Mx21UHvw8 zHJc)j2X?tDtW(D|pA21ZB zg8O0R{%k*F+5WQYgl5fk{P3y#wc`)v+%JCAQ*D_pybkmDb9R4?Ro(vlS`Oi!j?;E{ zX(+9Ksa0)rw(Osg_y7;dHA9PFPCyFUG;Y8tE_dB7+A|T#?$pQ?i67kui|f7b_$LmD z@T66Gvz5&qgI25t>V@lfB??~1p`t|}Hn%rEkFj}fb*E)D?J|c;ENlf2 zVyfIG8lBcF5VIvxH2+V|X*dXyWfhGFr#6z26AAK^A+$FE^f^sidTSFpA&huJPzQ&y zP!WEKb41#znAP0sN1^GWbGMTn%yyHU0pF8b6O~*)1IYcVQ@kWBj{p0Nz#_^x-R6t> z^LGoxoQmZCu{3$J(?^oq0hgjG67@5n3eV?ZLS&{o`ExCzr>=(*B?zZ3kIH5LiO^3( zz^kd?XR4;wJL_Is#M1wI!q-Mzt23fRZ2@WJ{2 z*m}#bD7)_s^kFDzq`Q>v?hq*f2`MQ-O1e7-r6dF-r3Gn0B&CNg>1Igj?ymE|`~O|% zd^q!s3x-+Gp1s%F>t6S|*Xh#MLS~z1$L`78dT}#6IIVQgnmx8~PDQeG)f08ym6h%T zhV8{B#59rm0{30VuCvN|D5rwZu0ud}0(yK_WXNZb`VYQfK4|H-f-kG*BgMlFP+{at zEfMyTT%jYmTTWT;&a_~&ieiH(wyW&uzY@QY}3e`A`S%ZrAIN_{1jW zp(~r0fqq|*_Pr67tGy{JsaI(~$Z3r;9pzXkov|V4Vh|pHs3Z}xDs*??O1MNl@85L0G+xxU zaA(jiQ#(`K{$w^6E54}9wqn5436@k?)#n$+|D|U01(>i7neGBvG-Uguh zylyr23)x>gltobi<9slQJ|-7Q*EkMBr!v=&{X}$w1TUMe7!A^SQ`+NVLm2Mt)Do80 z>|AkP88BVP*z8-sR6(B6SB^M2=SikW+Yt9_4U_GCO&vUla(&@-^VOEC?9yP3WP_gD z1$+*5+L#E<=STp4 z*11jw-Ov%gU4MKHuVctL{1-=dPqZ^1LeYWhu%R95lMpS6VsA#HYDB&yRa1UaMo;l^ zC-~aYI-_PAkxG&XA0GA^{BA|J*~iG$5i_dT1YP=0Ea&H;VTLf=Ts z!c%;-!1vSat*63bYha*Rt+5AZIcE~u^M;fARL43N0od zMa3sSc*}i?+A2hZoe^_CPXK&lWol|v2tbXT6@7=Rqxk|+Rbi5xa6Pb?su)!9#!t~W z{{?HHExT~{3s~LXz zc_s#^wZ3T?tpzz!VAp&4S>J7(`LI0)1P!9wH7XcyXT*gXRQrY|5Cb)wC(P{WfOThY z7+og%yXMBZvk=BtGZ}&+=p%m|84k|RiG{u_IfM=cz(SDvoOGqLt5y2sOAal&L|lv+ zN}Ke1pMXj>>6&^bt?Ug(eeR~B(~baCeFI0C#+bx4SBBTo=bOW?lVmr3oGHhf+C-j} zT#zzs8AUlRLaPzG)Fx#H6?buk;;pbBAd{ItSUc4Fn_2=?k7@Lm`dIvP*$Ni2J2Go; z2FX=5%@qJa4-oC5A`&k_doG#E;w)7TUoKA<`lsS-(!w6qVu4= zAP84@?pg85M^)W<-3DI{ze|V7)3}*`O;_W)IVDTu!I{@l-|llGMI|k|>?ad^4X!vj zuT*Kd3N9MVle*?b(l4z*c(5f|qcPVyte~K4<gYGCk&vv<-PQB|12s|*rPoZOUm)vDkCn3PnkZ<^@QgZ#NI!KoI|9ls z6lgDE`;mmKg@(4DL3}*Z-{q5_SK1|f0=VLGufF>}J`s8~rIXIBGl=)j_9D-_)Bq~A zd|5B|T-s2z?2kJu%jJ85siGv`2{sJc3M~COsig&$(O24Hf4ykv@A;MJa((wt%JWka zcO0ZJJobE!NS0N0>4)6jZf5-)Ve?Csbxi7iFv#c|pSqj5>}sX3*}Cj}3a%)rcj_Vm zG53}KzDNSRq?TOzXK(~-4bJI6V5kC*{*>udZn46CAF%jKUeRD#o(aX;h6LMz`(!Qe z6KhhCxb9V_>-U%_Kx#0t)OPjp;ueofrRaUCW%3sVdaf7=^}zqQX~&s1C%Xd5;D?LA9MVXhmnWk$B-Rk%4$_;Hq*Fo{FpxWy^0DWo4EnPY7c?U%RJyVn}Iur#ef zh3}Sixu<6y8G9gMO0gY}NQSQ2skn}Flv(|5??yXxUwwrgXfh4+?yzH=8Z99)DMo+- zvR+cYT8wwvIjLVAgbcqY;F0PS|1I0FTXp;0Dj+3S`Yh|Ek}l^bh=dZV4hNb~xvS4; z3$jWNsj>Y`^}|6>Q_;ImO~#Vq)tR11Jw%e5;Vz!reyR$h%}4-^UJd=)XpmulfIe$? zRkpLzKoy$q7q=DZ(vjKSOO!_L5KmVx_>cVso`rSN@ef6<-kulvUJ$Atl4ncS>W7mv zZ|kuwiNZWIC`K+3bk%DD+`Ws(-jeiG< z@v@7S;Fi5N{8NS%6T$jqW9ZF9Ulw$5WS*IQXw49w+Jo~FB-Fo&crYF+;_l~^Z|DM+ z&#{6s;fH(#4Ns5DCC|6OY$@EQR7eoIn;3wqa?nf zCGg^dWtUzTkxfmegk!#l&_ z)ll;9ppmqqB}AZ+!IR0-M5Qz!1%Y8`tz=d`PXL>3b_QC@PJef}^lbdWMu6%4}zg%8j2s4Y_Sm)VTs*L?m$$2d+upJ+k_;! z#*bgKpCN?pc?mp=8wW zA=D0&9w%N~dr$pf@W$)MY%&n39NW{H{QG;q?FB1>P)R}1~$+u-GrQb=@_G7@pejRxS5|bMC59ic$g_Qn=D&@queW%bqM`aa{^F)CHIZ_ zgblo&J&P0DRZ!1kbRi}Iu5_}0G}YC=fKnpcrH6#8#vPXKUeBG_TXft;HU~E=eGAcR^LIZIbf+rP7+14Uu?FvY?FF=Y=wTE8|^KBfVJl%tA$Xvf8CS zs>X%qcgmjAx+0^@s8a6ePCy8kS|H&x(t{X7pu4(5WeUP#>KFpvloeMfsL06udf;Lz zs84bG19PhYOo@YnWcWm}5e7nB)QH;MmS894%jbA{;%TZJhhP_1^Qz>X z_|qDjo#WtBzdV*{vfA$_df^=Rxk-VnEIW+@9yCA+6AeHjJr7?EUa^}NH%#HVr9b}& z=0o&~*0}*6-9QSnno+6Tf`Fs+JaD|^<$ftwEbtQyM7~k}rvI!CTf*Fb9~KmzNFaTAEE`1H#3bOC~Q(ATgFq$BT518&g>ro zcsp2bj0Hcz_S;Ho3Gl+1u|}$J!|nh|6ZW34@x>v0ndb{NB2q0kUyOg$(*$|>f9mSb zRcHPkVViNYp){>s5LKMdnj>X_m?*)>eMj!FA`Dmc8Z%bmB6eY5!(rJqBxM}B@X5Lu zdxKYt^K}L7`#uX4m3@iVUcHC>riQMjR>_RrUlf-AA}lJdo44DgS0A4YwwI!0;ny`l z;wNEU<~=A2Y|qsc#I5Ju-%Q!XeGd!tOgCr+{bzq)76z#Xq--b&nR?0OF~aqh?(Km9 zHo&yL=@@jnYSPw7how>*ivpW;eH%=EhCi@g!K?++FB^*(NXP z_6{6lxXWeSCOw5B=ixR_B%W!=CRI~cWD%((f#a+Dd7{{t5D2R&7Pee}fGMRI@9fe6 z=zXjhQA;E0ThCGM_%ak!>vY_#udD2B+s)yVB672XFMoK2$+RZMxqEkcED?%q_(>d& zd?>=Rjh@+*>%Sdo3oI|x#X&I2D;koio#RM_0CcAYXtQ$~-4c?ke=snCTa7m!()2_q zS|`0&E0}XAwr_1U_B!!Rbyeo1K}v~|Ddqm}ca$9XBy+zTBEC6a+u?Lr;#eiaN}m81 z@p$Yq)64*_X`xR6$eVm9d4flrs}fn^_>LPuY)u~A8|{v~Nr&#YE> znoxXt4ai*Or*88)&IlgibpNdDd7A|R&&s>M>Zw&KM<-#f<zRMRBIeaH|8CG?^l5 zh-Ir1AgenZOUs0mysKyMx%MmBt)IacZzQMhZl^W%T1RV?{-lubA`S^t8h}2l6Q0f~ ziVT>vqsnX6KRgfg3Va^G(^`;e>0&=ec2$}5WPSJviw;sejSTMC$&p?Jo8X5c#{up| zi}n%{x_;0NXv6cnY3e0ZOC&V3y0fr~`KMjP<^^W&P_5C;#&TV75~Khc<9H%nU%xfi zh>$5c@G}%o$O^sbNpkhDk6-nnuo{)Mfr7J7;IOyx9WY#i!u?&yy6yctKcA~5_kZJ< zFs4$DCA;>dx%Oq-{N@?|D*yS8$ji;9j>*JyL_lVyD(9E=Q|m`KG-k5YX3w>~Pf~Z{ zhsQ65XU55$3!R4x7r_KdG?=fr5$KsfWtZ3wna~uyDmk!F?Xci{QCVLY1DZZs-jg5t zQ&s6rm-rhM;l;w!>6z69d7RyaJL_#BLlk6SHvE@fP(JZUwFIx?%len@l)%X^8Ltvv zmcVd)%oWchuH}(`AE@Xm8p8z;(&6GkRq39mzS@fmbMcw?98t8TCRu{~71-v22TnS= zdmMRv?k2{)R%ywZ_mp_A(Dm9%#&GXJ_pIkJseW!_x!??}FBko-Oi~M=@3$p6bnp^VvU#<6hc{{BFe<+L%x*~4X z<>oN}C^rmZcfQIJ#np(xT zxUy1srez*@XUf%K2^3)&BfuxSJgcd-@9unV?9t`&$M$TiWOOK>A-`Z7vUX4q*@TW* zQ6M$|jtmSnzSde9`ZDSefL&v3cEOds?B;j1MON~VNEMg4bwky~pEz<68z#q_R1lJL7;$u4a`*Rms$X?GPl znrbG}z(U$;WSx2PLs6bnm5YKztDgCiGjSxDGG?SwjiEifOYMb z&%zH4>!(#d{2^O#t1Dop?|MCZ+1dmF6oR~jm5in*af)hm5Z_4<9+>Y z*l~3{hkM>l3ZXW+!}{x(K-IyWu0ez-{`NSVs<(gOlOSTeHY4JVv;aBDq5o-IaSVvh za~h6wG^w#Z92aPc$<^##e-%RwAwpIOSW!zZH!8$}&C+4Cqy1IS8~jZOPYmF4t4AQcS+qcsPrRs0A5 zH>lM<@$vL+D@q{>#WHBbLgJVBq$VL# zA`S~A=AHjeL`d-w*{ZjMg{ZC;cN%bKix6iiA zC>NtLLR*08+9_J)1hCiybni_uCxPP2QsCU7>RXIwBG{w4&jf8>3hgxMtuORfq^e_y!SSgNLGav#eN99w#OW{fbt&n(>1m`9)5t&MlL^ym1Zva+i7 z{p)7DsUn$W%v^lZcsw~Wtnj?Q@yb5cP&KZE^88KaIvS9f&4tdSKK{E6f67X2RA9Tl zA7zr%If^7242fTKKzip@TXB+}MVc_fstzr8B))}O&94Y#38iW&NIq6%!A8P$ur2L- z^5xVmfV4+{QKLx>>v1EMQi!hJ*?q-^M!LTzpY=DEiS_7RXx<-0hFB#=j1eNantV~* z2QTh2DWM9_4KA;*c_TetZHQdmnDCDZiUps^gt+|i&b>Qx>Bs*ys44EI{BCn(-47vY zHO<%6fG*n2$|cPiTsSMNHuT$ED?iF5hN)4rZG05yaBUB{@t|w#Ya~m0umt>vYZ+|M z4JePIaymUeoi_*f)R$`w1T5AhM3{W{L0~$k8HRKxBIkoV zCsBR@#bh%$37G!HYU^1QLbMLr*vp^#7oMio3lfFQNLi zM?GM+VI|iyCI5=i$i>Z~h#!I9a8>vy`-M0q9EB?`$fvhPQk@1uPqOvc_YbU6I2_!L zKBojo*>zK&V*2(T4%8jSg6Y0a$2P?$kM*f=?CIZsTdXkCKo74^c^8Iin z0xV0c0~NqRM*o*@UdclVEUx#wmK)DUvagb2&DWjC@ySDDoq2b}%{nt5!ya2bQf-wu zH{86$!ELOl__xP)+u2S7qGlvL;c<Em9p)27-3V_$ZfZMyY+(=wMXet#O8YV?tb*C)37|W5wB++qxA3%ca*8bY4SbsMgmh|!W~*e3%=g8x$d;lOa?{SlA;+{ z^!x?kW@%m6YYNx(KeG$Xw(t9wo&Vbg>1`M_BFq;Ly=r7N>rU|Ty8{Y#Jn;_}7&ZYw zMHXBv?0VgKb&_VJ#iyooSp`)DeXYnCAT2~@r~rX#I>as}5WrMKnNL&{0`U8M5dXPe zS~a8RD-L4`Y=5=0O)vLlA?F|Bm3~wXnxx8j$6@L)G_E*2-9YO7K8vT=aWck3H_ zb3C-21D2~Not7qlLkv|jzeq0T+F_ptzo#gxNc@q%e(&^8g#LgKBvD1+0nq&FVX}$O zphgd-V$)o2`TA}E&`IbO@V%yWPe5E1e@CKEsWF`vfF*t0gD<>IYB%X;L*#Zf4h*M=sr2LJ(Ucz zvhs`EC{qz02&h9!0@42Ao6C_^zjnLPgZck?Rlv*@91Ehfg0jdwjhvY)j0VFM!Q{~t z;qKk&-EjmqbU%NsE3R8*()^b7o$ZiNkCFf|AhkZx^1KB9Yris_2h|W2;LG>Mr7_T! zq;nVoR$U3p-k%@aE#K}-c4^t>@B2HS?%IFTk&HG_5o+NP@y@%3Z1ig7X;wT>;7-iq zK=O_Gi9-^M&gC0dhyJi`V@^8}AP8e=d!13mAE$^7Ura>&gPw(?LxgG8gyH`Gx`1V0 zlv1(q|EzmS)WVmM@z;70@O^P~5$9}=KdNPo07Z|#L!htYtnRBk4y0WPr;p(_ZgaQl z+Q8`AglFz#kP7?7temuMo*Xnweh^30K?}(+G<@1c3Xl~|w|?C>ucQ*PGb4#*J*VI2 z2IOduA8S=m1Cu>G&=XV=bmxyyr3y9$y)YMZGeib3^Y2@Wmy!h>RvbDqP@yW%c0Whidsq)#@!v7YCeZnWsvxH%-aWFdKB_=avjN|%{5Y`%)9PXToe2iw>x-%o|C*kv}|2fi>&|2FV8E05}kqNFx* zBHij&t5nK|j?onoG{fK;(dNrx1Rx~uKP_c$p0gk6^GpQbci1z8^!8`4>xwWn36^lb zB_p7~tD!E`MGjJE!$Ary?>A;f)Dg4jiL$DwS(-M4#bttEz*lB|V)YHQiCNAefIQAP zeTuY@06}W-pVHO^`qv_Y1Acmlz;m{uS5qO@N_3Jpm%N8HRtA&o9LX^0;*9Clahb^)6 z1MWeNKd2li)1T_>FjLa!fS8I~;nojAnoO)!1+D(kj5nhY?`wMOz)>qN0l z&q9vIGhnxUDR~RTOpaIWe1urfm}5AjL3PKeM@2&$MEhw0B4@;lC&Z!;he^|&e~%t4 zsO4A#S)Wax{!~LT7J7{mJDZpc*Cbt&c0fu52~7M4%+2>!*Jeqeq8vCE#%nD6@Aygs zR*f1jH*3^%(n$>>m}qIbX=XwL8+yt?p4Qu>OV=gBR)L=px7VtltE66U>-xEk3k?RQ zr(k8S=(YIFcz8``a>a<~?tvaU$j-pyZrq`{Yyo-&mP#I8F-m`*z{R-9F?SHdo$+I% zUC^Xl`ph>>g1*fPn8M#3{eOe$ykkh4yzNVVSLdaOS@6BEFcB+lL?B-6gnk*gRT_9O z$g|LLDr6TjcWF*$7uw*S90k;bzpE8D!_bvxt57os<=HwbB-7@Nc^&+Ihwx^f|i_4HC*l2OvIFgltsM=U*&&<-$@7`BOa(CK0UK=u@ z$OvthbC&6e-Y7F$VDklhddndeT(?uJ2(ZpvI%63DFf+aq{(Tm%C=v9#tenk8U^mtfyUuDng*LD_q4l!-9%XIV zE@k`+0BF+}$-Qjor7(_-d5sm{XO08s8mey7sF@7Irq9YN7R$G|WL-d%P!UM(8_&Sp zS*mJKx?q>$@xu7qJN~c>fd2F^o)0!KSWwK5l4IH{aOIx1OJpo{F=ucEIvW^q#o7O| zd~|i8RF-3H?I{0wVpq$bwn!ma$%s(-`AG!_45R;R)KNdv2|`>sWk@X|t)%fGx^fPL z2yoS${E5g?HT-5xJ!NGE` z@>(2ZqnG+-VGEL6ggLg5k-Xn03ltgie{Y~$YJ|L}@#yY&8dotrGTO{g{)=9&9SKjS zqx9tv519A20|`yoR}?=hI)F$maH9MQ%U8{LLWj=s1r7H$%lyiC{dKpYo#@Ht7LU3O zgsd)#Rpb45!+Sx9PLo=X@|4^(!%+KIqn?isiv-ZrkM5m=MDV(!!1I5hJihOZQK^#- zPjO3$nO^J?TleZGn%DXl6aM^jTsx+JQS~=(EZZ(vkC9a2^V; z7KuGPK~+%uCI2@ts@}4y<7lD+B1ws-TG&%%r~Yo74~%6P@ob2-;}N3x&l-&4ki_4`4e$NFn;~F^Sar8zDb=o>iOL zeM0B(qeSD&WH2i-fHGc&D@j>(Y~ee&nNzmi4(}IBKOP>+F4o#1D(?){@Pj}N5=Y#x z%H7D#-LIm8Ip6NR0QszZiz}#$HuLd*q;P1B)sT(hw?-^LoK>BFgc^eRoPpeyu#DEn zz0R&$e(fG208QrHU`=*P zWbZ>G(gbrCYb!ql(0wijxsodmw>P#ul%IbgrigDE@7k)Av9TPxj24%sWnnPpWL5h{ zYbjWUQ^!f)tDsrdL7Si=pf#4feE&Vrt%5}Xb;@=7*2H;T?m9l-bn)`~DPT-!#2-#= z!4^r+6$4&qAzl{W&-FT^r$G^ChdL3sA+i)QnFeqh!?^BTMZWtkOHgUx*CmdN%eO~3 zRPxR$9a!A1{v{BR>2mFH-9q^Ug;4k-<62|ryFHMC;=2?(kWALCyc`)_67sDYdkuF% z7S_eiIV+r=;iO)pbUpXvX3JfDH4#69*Z->Ilu!YVTQXj~;hvG~;GjXC++=%^N)N6J zuH!h7(%Z4?`Fyr>3=_S*Xdi5A*H0e{}la&D`Cz3yo%)OV-fn8 zqGWO0cM8Vjae~M0>?iZmkqu=xI zf0QsBj4?@l1fjuhpP=ouKpd{LNcuu)QlR`orQ@iQh>}Ev;+yd&M$>jFG9Jg?E`$OI$@!sWApZF z<7X0zmpPS`g1f^!_}WgX-J`*2cXR2&U7x!)b=Ki~j9p&#A0lp+wCGIz-BQI~fe9;xzPGUIT}))gHS>@GOgB2bR}(*M|qj_A}P;Hod~4z}gw zk3HU8v+_o%YUkQdi0>0f)-Zs~Dxc_s&6=)I)d}XBRcFsjU`Tr&Wo>+fsw7u0wPu|B zl6L}&j+n5yb5z)f;o{<0-CAC}%a)|rreIyXhvk~wr%ObswrYC@ThJe|qJxdmqB_~F zN>Al`$(IHN)R}DQ!dqcYVHHtFNDqoTOZ;XL7FJ>Lhm%S@wdv;mbsF}W73QVzxTK}t@CMVe= z_y4!KemcNCLh{F?^1mzNb02T{{mieQ5rB-(zRPBdq4qV1Fez^m7GjOjhqs;2jk$xpf@b^&vORZy+!VGR&77LbDt?k#2-OCc$!l= zyjDS=9L@-Y#MHFLlvPHesaZr2bkWPrtUl;N879sV=VpS#2aP#a5P{T5D= zrRvO>47b|t3&wd^D}+^%p$D0vz!JgviMrM#RA~gR0)}9n<1(c5Agn*$HjdH z>kd(0Re+7@pQofiw`?0eG|()1YO;)?!LFDkhqa;&!BT+Zi$M?6l?D%cLD^Ae#;1e!PVb&6;HZdJ?x$>bYuwfHus zEu61Qsns85_Tsle^-0w^R+Fe^PYO*O>U>*}9JYrlr5^Zktr~O0;6Jz)sy&YxF?V;Z znwa~?;|bvKlYVp4GyN3496Gv)6-Y=LhYpBuT*eMJ-&d+A_=B$ACMZN}TPA(`5)-84 zEBzL-+B`*!Uf?RqR0;&Fzp5) z3=>rjezgV6wOC(Cz?}ys;)P#fwrIz`UQhzSbn}1;E*LTFs9c!&;vaf@rV3?-=fMjb z;{>oT24`B%2F$OzEW%yD#=>@T?q&!;lVima6o}XGa7O;eL&kA9Rt9FS(A( z$%;DFLsj-2?$chMIKv&=Dsb>xXE0SpA`}wSp{4x{qo`2kw(Duocf!V?s@jniai%X2 zKzaX`9IQyPi981-4^!;nG&+Wk53TMS2vTyf>7SRnR9fTbfXIKV;?;K%4OG&UH+Sp( zcqtAYKX>$-Y=tikA!=Pi!({&dto_>T(z~&6+mLzaL&52r2{o-;+BUJyiM%iVtCQ)r z@5^ys=SkS%zUu|8bg9|TN{Tyvv27JVKKTQQn5^uXzNNx4gyt7saEd-0kdkA0*n;3e z(IN(;A&R&+FvMui2T)IXsc*R5NO~+sV~BTFG(EX1Xy1YgiVdLVMp2b4_44I5bYsC# zqf)`z`8WkD<~Z5w>1~#2jZ%RGTVW!18bJK5V(x-XmqU$4sf7Fh=|$P?`31bYnH#^R zSYiPG5}|IDjb69&Is<;p)yJchHg(uH8*Jy8a7d{$=`dU@wT=cF3Rsp}YBx-SivNI@Be1jb<1TXtwtT!y@k+S!~VWgSxnAeC>`&@vFcKOdO;6cO{Fx^>hsTEmXU4A`mlP^ zS)0XYDQR1!oW`_*z=nK!jGKzOYpA9S{s=d4U(9?A!@9pNS=FqweWDsNI&71&OetUbk z+KZwduq73>CRklB(CxGs_Mp_l`Qi5LV(H>I`Bycy|J`;|yvOH5K*p7}$Lm(?arY$d|;^T*jZcOZ^6$R@84ue*yUmqG;x&MEj!{M(^ z*XKa32DVFEF2e@OgQ!~v!yKeX*UQNS!I7j1TF`=YP${CjAE zgm=70`U@@e8NJdMI&|En19AE5s>XK)5!O{{nfKtRS>Xrc&!XD72oWW#7M?eyH4GlAakDYCohOSo&2ili^u661~Ay z)TILUXG8jg*OZrg?G^*OJ5Qa2>#3>oWik?LUKLfRnO254>r+0P%&677*gRtOsMdtH z(FsE1sCnL;qZreiMwB@755nn-Pe7%>f7^j9>M%ZMb4zNpsj@qPn;i<}oSxNLJ1U5# zdjk2-;9sEDNs%fSosK;Y#ebm#JW5BYzF+X~{nC^BWD$YbM33D@UFn;_Mq6TFYrEmb z?^|_bI>GdM^unBetjbH#}&b*Wte^$iGq+ucF;(u513NMUJ>PO*?R1dh*`Yo?h zWfj#6ekS8}jOkXbKE6E5>qnSpZ2H9eaW$nV!QcgAgfDK`-36BsvdXPc+CXmLbH|gy zHmlB(~JgUUD&9rp-1fLYyi)ye`uKi!BoNDI^ER`o<1B)A*ec!sf!{9^TH7R%J{3jMA)H{qSijq&V` zK4t9)n-7Ek@4(fhf%kg5OVrWt59o`~HJsn->-LR0wF&GbqQKfy#)$N^)HS16G$@fD ztB0oc++`Je+=Pq;Y)je2XW>19URJd-_Pk#G;(22$?e5GiVJw)jdi>13Sc3fuyrdUA zUNl_jmxR9Ic^nT;Z>(lJ={jFa1c2s@UVjLzd79qjTPD*A81wK`KjD@L85WKzv=AOm zbC?B7(W2t2cq$pN?2$xmFJbUnp~P{^$0pNR^2NaPvl}wVjV|heqqFQUxh?fEt6LHR z%2wBx?`uZWBF+kndKlm9z%66O?JXAY&v2tZG( z?DbJ+V`jf)h8+RwOJ5*aIW$+_VYBd8+b3t6c)sYbDo||XqrrS#o6es?liBu3728Y- zZ{1cQOz+)dB|m>-@0%XEq?#{1@$?3w3vwqvgbEUq-Yg0ovZS=`fyUb>Rj0BuAgC}x zFaJ(<>Y@ODD`j(BgdQ|o6t~=@7^E_*y~c8E%Us!lU|S>pS{$+PpYL*_g=e*m!!y=7 z=xCHNFtWbmz0OcI-$5h4F1$rNdAWvYl$Z2CAOYxdPk*Glx7@}(69-_dUB;NP$J7z- z=kUd-g(#3b*R$K4Z$!ES@mgi?D=i(8*Rek`w`WpjJ@WnK$29`!>JV z_Wop9@#mSkTG0WdU;-j@1J`;oadnx!IDnK`x*M#k3Tq1Y^5eyYyM2EF9$bG*@1L>- z@wEB%(n&Fl04iTv9t-2O2jaEq_HQ-)?_5nyGk&Qbq5yQ_el?FlUai%N7%UwEL$RYH zB90aP3f|q89+x{AhQboX_;H`>RI!o9I0L7mH#U@0>C@32+`NTOyDgzS6X|8%m&5w$uCMd z*T{ZH3N*)?t@8lN{GBF|(kCR7yPvqaNL5@CcGpKe70M&fgu+13cvi+I1(jpj*fr=Pxd%FlbzM8!*S$Y^F(cxC+J68AF$~Ay#U4I8(FFVhu?uOns==wb;XzXrULO)TOgJ?J}VJcb-l%B z5MGAG^*gB8Ck69;3f5+fABOz43$zsbt(P5At*w##zevaxtr5$MC^Fz3i#XGs`)qnP z1puA*^hDB5NVTmgW~D5nb-e6qPOsGh`>GVlo0Q0$)hQ5fHM%Vbx{nbLdHwHdz7ieB zt!eQuHa1kX7l(0HXv-_vChdS@-d2hx^&CLmy@&BAzm;|~4KN_US9+Xn;XB9PSXDL6 zQsOo{qX0B1)=pY;F#TF^?iD^Rh#-X|yC~->9;Wh1!aSg5?@Zv|Zpqdud;lc>=&-Ar8Uzd?`&Zp=tp_;p?v`rn zU_~;iz1c54fkUo@*3TFZ`lH>R;Mc_culMx$R_%&S0G?RH9$!6j@t` z_z%V-tU`8G;|2ljJyn^E${N`A*DulTPqrNSTU1J+SP`ckNu~VBe@7#{Q+$p8TVPm1 zLll9~X$_jlh8be=XU0H;6iwU`ZQ)z!(yg!>*zbs$xQWgOvLF z_W2Q`cUP+!Bx(LIVY{nYMAg_*XP983T-0YOB!z)vVv@qM-n8bv)3@pxH~GV@z9}54 z`&Uy^xf{`;o~XX=6jS-xEtbJ0G8My@k?a1@#rW=91f4yiSgbES^}cZ|^)k)kJxH0dt|D40Z-m&CNsG6^{7oV${b z8ymg({6LQ>*eZ}{e82y~JRd6&#LsRh=FhJE1Kn)#bHty-8h}K4Gd0+Uxey0oyRh`? zWs~eyq&3pH@iioYV|SdDIazd3V{Y9uj5O!m{{zn-xb;5ota?2fB*zWez-4(h0h51R zxf$mx?r^sCts|O#v;14L)Z?dcoh%Wsz9SV{`VL9h+y)H)8D}-N;_S99;HY$7{WSeNOQ;DZ zjr7RV1`0Mo0SMsF2L%KJ;dv8}QA+623VXv0QE-T84bM;pHB%u#aC&`RPk`QweDymm zrmtsOA^E63xYU%>Rnw|6_a&2X&27G`mGm&hvi3O6k*26a<`gJw<^2a{7cq(ye6~xPw4m zx@RP5#|;hze?RPXl*KBd3dQb80f>&;lJMM(SK1bP_;dm_czpj?ndWoaNl^mDt)g*2 zeoW|tG3}An+;pf^x*Xpk6ZB8bl0)d+XiP9cF;-B^DXbgIwOEFTMc-Zpto_awseLHc zW~`kfs>(XT!OV%T(U)q+=26OZLVE^d>B{<#KDyH|`tq)p7%Es;Ir_sq4i{a>m8h9mvXrPG6Ng5oKp6Z>SEgkaL zx!>t>{^K?SW;KPW2$VAxuj@r!rx68K^t!VU$cbz|5~70zKQhzz zZmR$|Gzz7}=R}V1NeBa@FEcGpydC6qx9|UGTN~jImy3CCjNMI=!sSLmkLAVOQ@RYe9?oBeWjZ75#X~FDj*|~LblW-D+Q*x9 zF5QJBaoFBpo?AyPeQQnwQ8K`Hy1MYs?nSumHwX}acIflSWy9Tn{bA-X^u9p_N9u(= z)xp!)K^Vmc(SiMBh~g2Ph0Cn!MfwiD4SOet{rR8q5Xi$h4oEsc&57cZpi$Ddtw;OgWNp0l z%V;1}?2gE`63S^QSHzDaZR(Qb7!41$2q%&!@cCag!DYZ1Ormr7bcikoiH3Km&2yD-$>&O4wE87 zn@3v4uFa+2&6%skBnDur`|e-{RKe0Q-{$Ms<0FRv3G8kp9ZWYj`-V)!$Zea=x+3EJ zZ$P$$auxEaDggE0NDlvjg7LE03(bLd+?1+bdHVIj9eH=+Zd8^nqqeIAv!hx*{QJPBy>9-3WKONI|oAm zwy_9f8jdLgJo~viI0oNu6ly!Lf9y%sBNwP(b85jq?Z^RacmGvLq zle3`H$6XYo?l?->pD2Wq_vy0e1VT?CPK`ixgF~$mvVxEbri>zPH3ERbW9hP7jjtSF z!C&+SY{?oqr8_NE*jve)cHa=5w#)|IT;_d0soWs_!;XXsRvH-7=yBAx^C4!gMU`s+ zG#CkwOb(`%sblvvItxTDKoHOPsf$tnDFoJK7?tFAEVSDGQeSSiGH^ufzfHv0;766A zS4upIjhiSQFvafzDajc91;KAqdUxNL?k}>wStEJxX1QYlH!sNtN7eGNH2gnAePvWs zZQJ&yr4ghXX(^=}1w?5?7`j`!n?XqfP>?P~7!?Vr0ZBmxX&uR-yN2%kF1Vj}ee>6~ z)*_ZS&ze;l{&FV5b7cJ)m^B{_w8v6FgsJUbj zZm#-h^0aDqVEd&-2yOoJq$Y=gsZeWSCS$x=a7thCHiDc4jVoXSCFjeoGlU8#n<>Y% zpJ@l;Q#Y}htuZXL3i1%Ph=pJ5931d?#Nu{USDLAnpjt_?AB>H@9g3Ve0VURt%{N04 z9*Df&pks_z<7&$I57Z6p7A9=GvHrKpc#?nuIA}62l-lMsGa!f9;pqR+%`L zJD*h32>*tIBRVN0kzM0iar3~(%9+q2mwbAcGp`hBiB~h@uNN6%S<2qM}2Y84Pl7*&{hyeDy^CDpEhE7$QonP*&%?ZpcE*);} zgB~|p#4~c<_G0a$xI(K&8FV6f)DKNUVXOxf!oV=&xv5{2D&8Nj9{cZPpi?2rwj|LFH(-*VRx5hOmSq0C@DuXX5(5Orv3f+xH!b!AK_IbGa4TmLqq!dA3Npmp)WcE zHQLusPtVVVjy`;$+%^#^o~L}0Lv!DN!!Z?odDE3terkA~1I8`EMWS`AE?TDh`0~a3 z$2F*V%f|AGl0!IY%cpsvi|wET>$8wmDYSbhIPqC)cAAeus|k^WWK!nm1KPx)jE9op zy;XTXJPrqtk*d*&%cvgm?2PG%o6W(MQEAIBv%^pKZ>G+evgg9KjeSqr)HK$Q?AE2- zlo*D@MTn@a4xbi38LPe;qN(Ogh-pU1Px^ZWAHcm+$L=e%?Y1J0P1Z_9nHB-mm@T7% zumW8Tv$U{;X@pdz7E5ew2$a>adMV?p?@&Ap%j<~z784`IAy5IU0$2KS)TqMaS?`+` z(b(p|JtyB$HH%zlqan>`wr_`#%cZ<-Ngh96TD}lVCqO&&cT=&Jn;Ps_Ly@4jM0n8z zjF5+sGtfjSg-(ctPA#Ci^qjFI@& zong3ot(jnRxtmbbwb?{rZq!!mvo-A2tGwL)WV0o^kZ*#78ZSaw=P~bF9}+cJ-dVWu zO7T^48b$Lh7B}s{SF4L^1XVwJ58}t(7uZU1R0@xx4PbiH!C7 zO=w9ZM(L5Kr4eq0(fiC~V+E{rE*~8FojdXDX4-dvgwxe|che+!JSE7#06z$`gwvrL#cg)Y0rZ>ruar%^X%w zUZ3ziDqiuTy1wju-N8t5U#e{x29VR#CdW|HpRWtLtp#b>F`vMlNcEzO;pfnde?jvK zFlZn2J~gnCMvC%um!I)_aMeBJ+IK13LamC?*vO5iMirJ&?c~NrdZ4ub9HOLx2)F8I z{w$1XTdFwdM_Vi$E<{aQ2#4)k1*CH>p}cg%rp|}ClNd<86#wd!SrbEQ&%H zCb>4_!EkOi#wE9o5x;$VRmOZzXnq=-!T$a?%rq(a zH6vL!fjldm?1K z*ebpY`Vq9+giWk&zDV=+~LhzIk4)?|h^@_4*{;qAC4ArCo6) z;y5YvaI#}r+X3RP5j3bo()tq%n17xSvV8XOPS_hrgzBeEe^wMtdx3-VyCEsSY(1bH z*pyRb7Hjf-hf~GHDs-3lV-TJ#H(EZZ;bvv1)Hu35OJI5#p&@I2?)+vZ!n;~L5))36vcUdEMuh|G z`SIDA`5omW_Fd;XxipPxKa)cuu2!WtShPl-YLZ69>gidgw@hp&5D|L5=Z^*bNgASauia8qgm{e=se zWQ5$8s+p$@=JQXvxi8`g$Gz&a52Zi#-NkZwvv~ErlqxpE=1|&)NWfNsm(sCa(xBfKNRSA4M^80X?bkn$}i%s3r==aAUCwgzaMFhhLo^G<-RVD@chhu6qpzM)( z6WS$rqA$65w`+dZF9{ezS>qIqBq@-74FM&Dlm_43D*VfGo9Xvj$+Ak8sU9XyE{ z7(7fdd<2@{(5^t!2cfMuUI~}Q*0!!?+sAOE)~p(R>%K!+PqrN`m@|>|>lSCuwLd9G z>DTH%-Eq;abU3VZhh5n0H>~|vS3umJ!9Kd(_*PKN+fC+aYnfG_o2#l`4KilJoA;B| zTA^Bw76{q^vSL&eby!7uJ3!!=`z8SEt{EA5)Gs8A`@$yI7o^YUT+UGh z8)e@J63urbBg$yP#qpqzp9aQT(BhvtA6KrqgsELBDjD1yD3M%~|F~9lAs5mTBSuKy zD)C*sO~UB_%a;pwebZO^a|IYX{eDpB<@!jUkXXm|; zcu1hcd2~as54v~@}J<(l22>!8L# zoMq-Hd<&@TiRyY)=Ut8M%Nw$AT19abXy9*1c8h-b7Q|ut30Y#ILx;t+^q*)s+&e+? z5bS9(_=8_uo8rha2P2{9n8K}tyuHb}c^uQ#fw|U5kI}a^r2227*_)*Z;E6`}%G|Pk zx1^+YnN_KJ>$&(o!H`e-KVwz2?D5%Sm%DJ!o&8}xT61xZdqS1qnCSz`1H;k}gGtM; zZem{okRRp69C5BmdGBSdVP)RRyp@|f9f?vn%Bev!9vAKeJtKgQ*_HA0d2{4G07n6L z)_Fq=7If#)pUYAj&V4ET0Zm=}AZeEln@0s#_MijV3+7!+EU}hnp6ZOqzgP4n6R|la zP~QO!r1UIx+0gz`*9)(shE_n7)DSiFvpAt3Q z7#-)r9ipJ?p6cd+FFX(W2teCKwz2C}C;0;enZ8E;9`dq9Un5ogncId%(>}#3B-T-U zF>O;Ce1Gvf&iy|T@k)8A4%=WZ)j-zdTz49Afs&C{BBCvGA%Ot;QG^r5$ueHBk^K#1 zXf2wpT7S&kS}-})RrXD;cRXO3#d~Mr1^yZ#IUEr0YFAF1x=V%6qgTDk5t?n%B-xK( zksF?kS6y9uM8Fcjjp0ufVWVEK-uG!>^4B*L)@?mL9e4oXSg zN7mPbcyqxHGCDg`o5N3U8zKszr@ah_Mbp?#SMp;w838<3%Xkte4#`+KYEXKpaGM@X zU&C|l)%>cFSPmS|dX~Dvvd{#fY{Yd`Imxrs-hLPY|3f$bX)7$q!zt_XJt>8?hlGM2 z8jhzvmbRNPX&T{UtH+YvbAPJ8WS2a=5w*7V$V&aaI0RF1hhJwV-Yqk4{R|YD<2sjJH!IQP1B$j?xv5^hq)fY#Jg;xHSy|EZvCCl79LMud*TA|vn2kQxcFjsZfd;pyZY+siP(i`_cUzZ%tT2Ie$_L83)-eN$|yA;UC^#52k{ zN_f$k$WVAyxN{xvN|bg+EmuIDgat{}Bm$#gV^^X{qTP z`u3tQZF;fzv4ZO}|J%F2l2}@^*_HCpAz~8Yr}9RjRB;{TBxh z&{ZI5!6-M)`Zx3r%$J{gR_NLHvkS*YlRsiEx&PlQVLI^l@(I-p>B@ z%+2>^T1hX83ArVDWY-bk{uyb623!lotF(zlIA1ez&q`_kw(dD>DiP?yf=8yT3mI*6 zIhqx5Fhav#1e`Ap$7^#?y#&WF4#aayhiVB|li?WimY8m5Y?i;Psz$$R?<#+xrAsiw zZdzU$h1LBB%77bV)+uu*#I7RxPO9l4_yNUoCw|cd8*X|ZjpQJ@=kL$=?60deP>D_g zY!Q?$uLzeh6*QLliA4%k17QD4^c}5n>Q?IXSxL?wUrI+}!We4qw&3R%8SeecSScn< z)FN%Pu#)nQ|KofkX<=oQJX;URgYG(2@yE?Jxx;Dl|q=xBGYAXuQ;pQOb;Za6eD{OD`cehl2^ng zQ`Rx<4u@^rkrxAGz*Ij(7pE*yNV$=B%*R^uedHP>Zojq}`tPE7;)|or3hNDOvxs z;ULB#zh9-6KW*`?%-;HJV=&{HtA$k=>kR#bJOfJ(J&QW+cm51w?s}D9z9$H>VnawC zULJuWtDf{m^32gb4ZIw&*BRGwpciO{g<1pM>v)G=3?fpF8w4P85##i3^JL;{)y9$d zGVl@;yT=p3*q#xP7qD|`C&QB#{gD_;=_%1(+nW6@20PC^MSWWXKnFFa{s?;Kh$t;$ z-;HJ+0l@mnhMww8OiT)(G;kOFgIdP~(tp{-dRO!;>)s>%eitjV|9vF+qbpr|c+4fR zH$mmT*@JM#6j>igQ@EmBRI`NDR+X0SRyA}6Yzdd501e8pRHJO0D_at1^HBI3Oc|~| z>M)uqmIH7?r0-^pHr|d;rk>iqs9QgJtG%4G9!^U77q^A@iG&b2&kNf<$YRBsB2NF9 zbe`CG!YlyR+!G?$MGwEE6({ju4JO3^9=pGK{@1$@!q9e9<@f*=B+EtA9(lhqo>%uD zZ+!sZ_xw>h61+_Ce1RF36PHF<{_o<*!XwPi27T(NelJW83-vW*)CRp@)6ehp;&hC?|C0%cnwk{3N zI^gtG$07b7N}N-JPAY}2@;e1rJ{gkyD6ZqFUk>IF%W3r>qFS4*MMQ-bsaE{A=0(Si_Dz4(YbEc|V1 zd8|jo%*X$NXjuXdCqT0H=S#XQ*T?iPXEyTvo?BVvq}Zd0M^w$@matp2c~l`TAnHn@ zJ{LpAr(U#sPPsbGVO}glm~o$cnE)w6o`&ycZ=5|o99dNn-5W~BS+hoP3Y_HyuQnO*5_UA58>%N7qnTa^Al|$-TxT7jH zF1p?}S&~7%Tpr7*W;z{4y+SWm-u-HAod)whwqfN0XB3 zj(r+9Vdqbl`N(74qb-5U#l3tpb!`+?`h>E%{B~isZM2)y+ekI;bDkN_I`g=4($Mx` zRgb&|BX0MLQlEA3_~d;J=VwQgrh@euLqBj0ks6!(Fhxwor@R;A-g_IjtLszp!l_03 zylOVdak|QuKVKvEcwjX%U{bp9()dB^`SNu4X#$3YYZlWRi5@oL?Po+rV?kY`h>8yNVee2k+Kbs}_VZuL@ z8tEYlk5^H<6*D=7`Q3l17xO1Uj$!DFi7WR|3hf72Ll_Jnm*xoOMj7GF`xE z@B_rva7pl&0>YMigQUsQq)OhWA$uDI88=aHa&a9=7Kxjfn9DSjanCfl~Jn;TAT1ZxWo2{FoBZ$!Dh z%*MDJAy0_lfoF?(TVFY}+mduU3~q|mk?qe8W7(gozEr`B8H|X&s*Qe8uSZ;&4!CK3 z+s4X|LZxAs{dDinkqDTD*j^kWbkLM~a8?8s$$D5-Ov|oJhH{S|)~@pj-OE!7N;{8# zyMyY-C&IN|2A{`53E(ahk15@|b`66y0Bny+!>z=RAG#CAgfz4XL>Jhnb_6C%er_9- z2_3@_pWU{mAwkHYY zq?wAoHg#1)&5BtK_OkLKUTL&$?Uv>}G)5iAJDVw}Jjv!S+EfjI889sshHM%C@i%M4 zUs6KxsU};6b5Kadp7B@Q`;O@{mpc}^;XQhmOIP_Wc8dTK$vaR^miNIH#`|@SzwjmF z9@`5w+Ok{n1z-Iaj6UJre+--+++&oSS_Gb?8DI;5(#LK@IK#c{ZjUBN!m3BZyZK2b zy6zE^LB|J9PHL^$F4!Nu7W&_EV=>n3EUp}fXTr@C!-}D;o@8~=uZOCx* z9cNLo$P{j)A2PsA!|b;FP})o{9>FG#zwkUp#_p_$o=%*W#uL7 zldmg1Gark zMFJfP^M4|VQ`Xuc;P5d~%5kUkmwWI;D(%*UobLkg5&IF#jqUJ0=&IFa%;{TwIk#sH z65Cx_mTM{58*pCja!eFo^Kmr5wY^_sDh zPY<7OsOZlQHH^m%^kRz+DjqNwehK}SAwTpKf-HiMN7vIozh0pdNkVKuT2ygqx(L1; zAj+I$DZ;X(RrlrQG((zTIYVJYx*C(=oo$EHKRv-yj~&!Cqiau=x6cBQ=rp)`cn>-o7nsFF8>J86F(Rh4R!KvR!HgP14p`Z68k6-uKz zmVC>fq~dW4i_RX#&b{hnsrhbCEL;Mc*|t8bKPx|Bnq5BavO;vI=5T-MS(hCyoD;Jq z+*vEi4p#`j7MhS(QiS0?b=U4_$yU4wS;-Ce6Tj_nZhJ>Njs5|DOTdrCC|J<)Qk52X zOzW%1yxKw{v9n=q5m_H_pa+|)ISslk9-Beqd(yAw!4Wq9h}d$92jKp;!h1q^cSq{%AX|ZKbagq_GtUTIb6sJ@v>`>vTJ+_tEU)W9;j_2 zhD0A0fBrA6FOvBjf|Ev+=ziJ-K#km&=!vp-268cWmA?B3PJ zCRvjUe%lOsb^d~Q){Jard)CF6o3Q%$dc;@k$=vYjlX~;keONtLUg=W$!ro+_f)KK} z%B>l&(keeaU`1}#&b7EkHU{kNwCui|p=AtT7cSSSxxkm0+bu@_#OMAM5wb_EI$l!{R(%5e%Z33((){?tAX+2iQnh8dw*(Lt{gZ3Lv~NXP$$<;URwKu;4!jqG zPtD}G#10sC2`tNNH|KWz-;f8CVP*Oh@ZXe8e(;<>*pp#u?od)rXDW8<#dBi^s~QYa zOQ>`+HTV3)r^X!V6B9u>krBx$E?noXPdO2y=!odVP}O@L3?yTF_SDkV<3&cyWb=*3akKeLodKDApy!LBULi6|Q_PfiG zpZVrP7uWc6GSr&Jrw*)g4i63xKd?HU{5BanO~v&ePnm#8`)kmZlIhRjnL;g}k;Bes zAEG9DNuhi)V7{A8iA?3dk&p{BcQ(PkGn()%qK;@D?}Kq^4hH8AfEg@eev}k1Z;6ie z`U44o1;dc--AU9g?m}Y5`A)N%U{K?2zE91HI+B78x#%!T3)k+u@s=By?dD%STQv&` zU}QJ`Ll%`AD$Er7Okf5l?@N)~2wabs?Ef%y{bQHqI>q+E(NPQty?>JL2&=6+D2V9=LS8p91n zsRHDTnvNp$*we&%>2sD?0Z18@xz=exn%Gd~_Ib@DuFmAeYv5e=6jLOr_4yE&^V*tH zewAC)GxWhZ4=#0F_OySEnjWr+{mp5|==*io+aQSJvW@V{r zlL)({$+HZFXXfVhJSaiU=Lt1r?uAZptsNR1!qDuUFj31Mid==~e^9JNDjx+rWyW(I zGT$pnSJ3_+hVh?o@G~H;11)tpJD)k#ren!(K0Y;|5=D>A%35E0Jv3GOv#^52%B=9# za~QcUm#|hmjxLyEB>gGXcdyOVEY()cNrpnT&<6`Q%vJx)<3Npi#{@q%vJZnz{?J~U zKzH@jY?${nopO&@MdLEHNsxeqLa7w*_KhuhDbnF&3S9exY5(JaQ5}>|{V6JX=*F;L zB%4rVjt`?b_nqNx&jfaPe^I;Nk_p7|8E;liSFVYfdz`Q{Ux6VYh^}Lqv?-!OV6>PO zz;fEW@)d@dHH&_zmh_zbGMfFVcA0NSiB&FqE3}kJ+9b>5;zFy{B=ix_tFu6`)U|_y z16V1ssq@xazCM{@BXiu#10>`;{5X?VK2idcTK!OImfj3`WQ|fJ)bUnU# zNCqcRqf1#585wLJ>}!?44c~Usqj$^_a8;fdH)wa?{pTezuuOt(1`=YH7zL&X%3Pj? zzbIe)M}A}Pi_6^8{NFBYo+2vUhQh~6aS695x5?fYgZs~1bsp%7y#1NB;ogq3`9Rau zXd3(9Zg}|>7z*-SsoFTpJ6?t${~Ge?4`&n)XndH@&dz=+=IzU3MI8m^WS9T$o^edS1XR{BT9Y8X%tp zs;f)Yr%S<`-MqVEOR?-6_(t4eV!ap)bIGRz`P+k9Z^>&pvKhcc$GG{DUKW!o=0r%E z#%F&H+I`ARSj!-b1sJ`lY*6Bl8%(err*Ld8&C>?zt4qw67hq?zqLs9^nTn7THx=d4 zIKl_MKFkom?o`orlPOuTkq-Mo&4K}O@4c1CbSKhE7GgMi+?a0O)3Um?*!;FGp6m~1 zIw(PnCC?qKsaIsgwSTD}P(Oy?@BRI{)T)II#Pbs{{aXUkeUg`yfFXkeY-lsLl^LF< zE~e+ljt$W}A6@1(N>o4<-!;fsbK(Qk;)wVD&MB||yYhy%DYFuhS8hjW<+VtbzamJz z{Y_9t8oF7AmOs&62&NT*s9h&DWNilJ-8($@a|wC&nd25Ma>hE>W?M7#54p2C4msT`JD;dHH^X%}YOO9HrR5&reD% zJ~Qe7HYeNnf+g%inBHCBT6CvS6#D$Ow-_ z?NbjFjdyi+F^;ch%kp&X8B=cH+tx#U4)0`J2_6jHc+pX#cfk}#B}zMH8iVanrH&6J z!C*aN(EXHtQ-jREq?eBaLHx1_0@PsoJBn`l`Nd6r>X}(U%cs)Zzc()OtMv9gk;|cZ zpXd2aFC?0m0+$1EbrP2cA`|2avUzm&G9rNpJ!75q66GdcE4%lL6dO75vA1{3o?^jO zP1tiAmtfZ6zsYdn(yksdv3zG#n*Dc4p9KevQ@={1sBF>3mSCb{QwA5x6hd=HH<=1x zUJ9=gWA8eQn{0yD8PdoGf*Wu6duaD(q)9(fv-OSnEULn?xq662qt+kA^b;PgdD=*h@)y{$jwb`|$6iMW zzWD6GYWCMYy*x!$L>m)?y>{@j5t@EQ{kb`W!FQBNdm8asVxVOY%NeI}2p>;v6;{4v z^z$J%gz>0HB~QHFXX{I-Lohr4*Z$5d*Am}`D75Rlwk^W?cj{-Hpl*S4QwBGx2c#@V z<6!SPeMi(zT;?NeX_rMeNJk(FVY6@mvX2kF&QFoFm9Qtap@|zF{4F(vMFTk((tL4r zG?`ZF-t3m%VJg2dT@wB`NUjK3_EIsIAMG(abmHUhf>AIFW6a%g(NmlD2tYG7`@ztR zqVv8y?VQ^#GhRqs|6Un;Y0{dAvU78DEnyyqKD&c}MXAMt`8@8B5Z%9DUSK#ErDfzV z5+ll*zU3%-A0b8CFBmV17b1|Ko@Yy+vWNGM6DE~!q8phfo_ElfE)aVB^RhW5t2?uv z+A&ZM_Q~p~qNfDy6fU=#j@iA+co)y$gq%*l6jni=5(?=?kz`a0FG!fal~k#iXs`W2 zVnYhNCH|R(+Qkb=(Jpk55+`$|u72wM&i#rW>O*UuhGF*|QoS}{wyEv|S*SZHOr|Ob zqxaU$v0Egar~f-zVCFvYW$WL9?~*9_vm`Ct1jxFr|3m&Hh8U0WmP{3z^~J@c0Vlos z493(C&EpN9F8;k~K!JQC?YDnDp*+G3k@q2Y|8|KpIv3Izw|KIuJ)G-W?*W?cryg2| zzJxHI&D#%Gmp-$k*y&Nna8XUT1gR7$_@aL@4$ zv5|b}dl5GOIZrA7*b5{+dR&jvk;a`j5zJ2r8{O&wJ+OUC!ob+2HOyTWYDhEGO%?ZO?ws+e3QH5%7kq;Jg=wD zS8hIm3d!24QF~l(+PmDU!`!AS=SNLDz2Xt5heWm2OO{7yldJS;_hk@9;fO{>NX-;e zg_C*N)L2F%a5bE`_O3Cu}EC#D9S@;6MN;)D^3HfQmsN=`L7SdkFV<+pphl;|sKDoLd%Sxr)3l8bFyJg9H5Eho>(73x@9gF~s(?15r zP0I(TF?4Fgnk|RY3N|OB6~!I_8w7GWloprhMUJ|DJ(KSmL5%5FU{03NhMNn5wuM3Y z|Mrvrjo*5AGul#!={!L8EUaSLa{t+YayZL=5g%<3SFSG+;+z7WyGIpuv&cVSl`hdP z=UgFL?QDpi+ur~u)I^jdYI^xQhB|Yea-9d@b{qb7))H~qn*5vP6Ap^9@Iid?8^Lbj-CYMt94NRb|O}BcbsRql$nq@_^jH zOfty5kUE9>`B2nzHO)Rv7a%$Ap#MJ4v9_szW!QORB=)hc46q;dqHb%{-(K0v1h3xH zJ`P`4gf)XaG_~o;<);V~ewU{O@_VO^o?;0s_}@$tm*orbvx3T4Dl<%#{jpH(Jv+A8 z*~PawxUkeTuStAy!gll8W5X)^rOAy56P_sTJ^H%orHy;5zGtU_<<^>Ktkv_oP3n$3 zJis)3&Dm?xXKzZvO`a!Q9Y_)87(M?`Z6(u~!*IUu5>xf_*B34kuI*T47vCSZ_qSrW zvjacGdz3#W173RmwQy2mYtS2kn$|wwW^|gnMEkRQMD{U!Y`)Tk{YJg+D2s`@xV*_K zz!6Y{Y`BkE1TMp@%+Tl~+E?%XT69pz`lq$J4ac}08$6kQe8`{}_G|VqdG6)=3nqNH z7#i7z?7
    _U%o^#K()NaEy%PI5V$I2jjx;`dM_Q<@f4l0O<#Ezkt6@^bZ1RpZb6mmtE!FK)28(ocsUt7UCabdZx%98cWkfnmk)+GG8gr>m1h z0}n1a_-41N%0H15c=EAj{au^Jb(VEINp5~Mi`*AE(QHCB}yoy_|!a+ zcd-)E9z4|*-E4WS@prgUtgOzzC@eNBQ{-BYgwZI<5@>n2%A&%BWJa(rEVRsMS)?Nl zHwK#92k;yea(4Xn=szU_qY?*w;1y+v#mK>G!q{5NceO69oMf&BQu$Sw^5I#E5!Btv zOWXHzoXaTxp_#yN<$O|OID#mP3j1A>p1*6WctyxSoDrD-)3H7nlgrXihV`k5y&TiE z`O4s=`LL7>3KD$#%Uxp_EmNW{429}SQQYfphEXLRSbNY?9)cFTmtSOt&LWAx^U{xB z?%^d0Rs99>fL(H0i(PYp|RWvSKKwS)<`jL_}@cPW{ zVgfG|QolAyBX_nxX%mmt@#|V(Q`-nx3xS|8xm(WjMz_!WwEYDQMG^9*KU)=qII{D+sN(|X~8CXkcTNdqFa^rtiQXU${ zg3|v|__-eDgRh<--FADa)hk1hR*$|kRaX=YZbc|w-GC~1^)hSG#3?spBbV#0jG^+Q z(CDY_vGNyu87vSRj!q00BrS9tsYd)K+^wClf^BO`*oMd=YRD1PuJ7Cwm znxuSnwRu4Yu?}q-*-n2s9=C#HPkIH{l+7cNfZisQINB#(T+r57Wcjpt${*oe@w&@f zDD0Gjx&&xO$0UpabU~fpm!k%`{x*Zc%XO8%!(erfu(Tgoxth6DUV3m2Nmwac<=Wd! zEfOX+s)AA6VSeuh8z{Bh^t|_^7m(3!aG}ub=T}#wofmq*KYRM}!$3AAT)UVqPgL$> zpk&6sW%i_7oqAs2mkd3=I)9F-1(YFgwoq^ zH;f)<;y|2ntWnZ;UtLc}ODL~O0OB5Z4jOl8xgf#prwrOX9ODk9!y|>D8`P*rrTQd% zYnRjg?oPj}a)LTa?OSd_*cs2z^GX2%NI~fIeu)5HDFGSQlGy~lL+aBq?W`dUYK_X+ zNV3btR+mgd1g}YLb>d4mLCoK8yW!roI=}N3w>gJ$CwUeIV;yX+k4Rh|JNJ~`I&2%? zo&7Ppi{8yX7il;GL)3dlahdKY{h3A+@M>?2001atMYd)CjnRj2P3$Az9XoF{oHUX( zVYs7H){qtYsPqYBO}Dq`06WOXsgjikKa~(Fzc%(C1W5f_z>l1XsgwVTj%gnGn!6bj zqB8{W2{C&8nY}Y`RYm(&+t#a-Xgctno7q6V_I&9#9;qR)@V^nE%TEr{dyC^YA_A+U zlw4!d%Sm-Yeg^CW_+i%dOuuJh5ujaAQQF%*p%zMW=)0|j#QxZ5RQ=RQiC}$Q44l{1uDye#t z!-BVlba!R@eLg>{h_z-zDIzxk!L6x0-_Hb^`f+TSvrIf6=&u^4b8zH-9!{14Ck3j{ zit{HSNc0`lFS5ICq?g1WXl#Yks%@WVbrHqZqg>?%@V+3P`LSQ>4Q|4#V6jc0jITbh zYIOaSw#U&G-HsX1%2!~gAX;{5_kT;LU_V2pQ-u%VSG*eQ9}tCjsaBIr}IqIum>R@GXu+RC8k| zeatm<=#BLBHP1T%C_SIsPc%ioypa z(y0=_5@4~bcu>V~<8p!vukf8&k;|%}-_@JCpD74U8RqB-w-T1Gtk^B_-wy43bC3{z?4~UKvPlr~ z{OmRtL-})6Gf`w*0Xw+<>$CM&3%@POuDw+PifR`XfrI=baSi_f88y3UZqT3+cueHQEhfBQ%iiy?53^`2GKTiz3f2RcA-NjzBwEV+(mB zdSKAVQFR0_7c(@)1pfSGi=^LcOx)Hz@!p}|FsVtA09umP~ zUIwYpfXP@jQveu1n`gEYcv{dr>Xd>G1;U1a@6sN~6Z_vL!{iZu!x)+mL*%@Ul25UU zs=_F_McTGLz1>VvD~8}P+X|FH)m4ZmeCEMq2M(cxLWtrI_qiRu@MP4Fwnf=18Wr{# zG|~X~6_|kG$54F3*IxCdxqWNpLVx5wITsgCYX2VgODg0Z!_ebF!tyIsu0}V0@vxmP zBp~FgUMo&N-a&!V#OBM%xV#ADx91BR_T%ixRckbx!dNw&6EMh|)OXQ9_pMz;Ami*B z`Z9~0x)`@>IuXYAmK$-kKS6DpW`8c1hOT~VTRM;je%Q_ms2Q=#_Hw^}{=tLO0heKa zuxyLj#lL)$q5q~%;=6vChTEBmL*+)#e-_5M=A?FaQXe2Rnp~1f^Af3WDlrbA+;%)& zpLZK~9p9V{uRT85@zg0TJ1}6!g%h#ttpvE|e+Z9SVS-u&4T{p%lvt!+y-4~p7Q(_R zD7bN7enu+|1Y}m{B5G01T9#Qgnycj8{-?F2zZCl})+RF%=*7S@Dcz^fOgWe#4*?H3 zxhDR9UCKvKH-pysA-LI%PdcP9a(bcfElPuFI{;q^O=x~t2mb^XRU~GJJjRBg+J$bG47GtJ2~b8Op&%L;At|;0rofO%WB^JEyxdrQ(Ckq=&kNFH1v62>{vJc>I1m6gcND|^PqQ}RDZa#Wi`M+bpxDW9@ zoDhmjk@Rj0upp=zhaum-KX_M$+$o!`%KL!KPvbN0YeAU@k8O^}j#FwcE>~&~58TCt zA7|3`zqa4PxQ-hFMBLP@Z`1A6ztcpN!5?m2dQSi;SA;BRfR~Qe1V;k=SCu2!X29X0 zBf$4m{}zyuGHtIIE0KaevUxxAdo|ey@DY< zF-8ys35k7O&8!brQv>3b%n?e`?)2OCh{cHf;a5R=w9w1Kwta`#ho7Bm4+(I%KpPBP z?n}?XP=E8$LN zkK6t^U$w7?NJ^8Re$lOjJtU>*H;u3*_qc@*cXqY3JShqk)Dt`Kob*9P)OhG0k5qA` zk)uaS9frf}hqXvTm#kyObd>Dt_JhdV$si*7;sAN>YFoGKkZ!NrZZrx|+vUtVXj>&d z+EBko0e2qE(=gP{#xuA5uk@XG&>@+5|MavC!&mo&J;Z=J%UE%7`q3Fs(Oczt z2#LfN1~Qi-3j0HzCTLg`vqoHu^wgZ~O98CZax0GFNI2c6T!+gEaJnrdk+9)^GyW{{J_Sf;2RYd+`H8MD+v}3Z1#@@!{`N-%FGX3+frvVzPQ_|K9Up>%3LbocVHl z-RF!P(&Vm4S^IGKqX};6jnV&N>2~9gnD9 zd}3HW$Hw3O`27)w*ocD&3l6K5qn!UBT} zzSm^%hA~_C¢me~G%kb5eV;(kWwUfZWcxX%B{oC}}9#MZZt16VN?4x2xpQfuaa z{pR>qw0HJbNOPgaX?3OMp61m2%0ixB~c)J{)s+=j!&t0LouY#eI$e`FK;^b*o zZ=?r92jBF`USQ?l()bhlrJ&ch*$U|#HbJ_~{;-{nr9RAWZ^Qq1dEJ~lx7WYE`;ff8 zItn(l=nO%PgaNa@1Hbi~JvUr-+TSNrKo0Mp;idnoF%Ob0NBFkHxV#!uGi~I$igN^S zv=wb_RSm$9SHBM$bWe`^PQ-tfkwDj8M3mw~ab5<&g8~MPRLxH#{kMTLx1qY_&91J9 zi}Q1{m*6uRpFGgfpIBVjHP#x%6cL`hXPX&aC3vAf<(Q9s&#O9**#9VTNH? za544$_iGj(`Od$W0|lZ~YijW@3MC;%MzGstFg)o+2 z;?SP$ZIvSu);Z>;eo+|jOWrQ~ljuB72WlzGuHgnyJ^OSE~LVaB)M<*1n@yGIdq-KV7U|Afwh9zKquHF7QJ1JnJkV+ z0L$BOSw{c_2?El*2#ib2VYEuPl)38Y`&QvNMIkvin>i#RWV;ZRLzCChvWVu}5}hnv zmv}uLG3ly(icECSNYJFvj%Xdt>$T*tYD4wz06Wb@+k_YXV&DTf+lS1Y%xnth-QYC+cB=wwxrmOs-PT$TvdR(8k{>V1fbI;8l+}^8=ZL_gIQ84F? z)XK9EnJuX{%yx2(`2J$#oM3Zf4qe@5M?|uuzY1DQVVoR+Q0I|d5u>kl!OzI~VVSJ^zjkcY?7UxP$nkL9@sI|Oh(Jfd3nt|rgciJ?H!i7r)D z+RNg;PHr@LBBV7$TVmx}B4KkT`*+N%H~){PuMUgyd)|Hk0ciykq*YQR1nCAv8WfN& zrKFZlfu#jSkVaahyFpl&k}m09y1SOz-S@%I@B5y=_S%bUnKS2{Idf+2xn~5@8~<+6 z{;Bs&mxKjqx70=K-_O^El(C{${GM|6Vh0e^r``H@M!H*t7StGVQ9|~r@2atLx~e`2?O~j)hR?1m}T6f2<-+_0N{Ei7d*v|)8=Gy`r5s}}; zT|zwdI+g6%!45(ybzXpLyC4SoXAn`^<9XKcBl_>paDa9VJ7!g^Zhej&wF*fdYJyo3LJ@B zjWhT1{G(jXOcP_?zll0-(({v3&laPEneuaUv8H*|S$ra@ilu;j@{ON!4Dtz8c9hx? z^*-yTqXyaY*-^yyM!26)B0J4RW$z?SxYo}Q&CcY0G56y@qQ~XxrRUb*-802M_9Ueo z2W!Fh>uJTo!mpV{cb)f?brfx%BQAUz&+_;)O065!zbXs+NusY$*cKy289o_#m)`e_ zM=#5&)uEn;1nf@doE0RgHcrnMy~NFJR~MH!!9>A)44m(1Qv%=9zhf|~sbQmM!kM24 zZ`Y5@=}c3<)N*+Au`=5O64I}$y0gK%Qsy>!V&qPh_sCzb;mzqs`lN*iFPd(wf}vxU zO@W}2qz(}v@;e@1{@;$_u7jkLiyT_u)hZ zeq#*nI~{a5D^98K;P;HWZc>Pw=i#musY>i^lW2S}UHB}+-=q^VyLxMLfW&99&SU8b zdUq|H(@j*gtR~&Pq9tqXjBK9oV>rUJ5J6M_iVIgCGKUa$2 zFzkj;5F{`Q##F7PwGNkEJUYJ$$IH;4mK%qZ;ziXhC#oUe4qRL;%fsJcW#ZFY9*XRV zBmM>xf!9UCNaVp$ZlPqJu3!4(faS~c0s>m{1jn}}9S)K-`PDq&ROX-lttqq6b{$$@ z{x>mTsN@8vzCSOZ!3BIZMTuP*Yv^#ROdgC3R+FHDe@0$)Ud4R+t{s+mIc0ma^KdrV zdvUr<4MwHUjCvN?!vWb|*(%IeI%(zDqXL-9OEV*lf04GrwZ^2bM#xtDCsQdOqT1RZ z$EdFsC?RyY$o;X!xP?!x;xE0iS|S_G2MV8wvly?P3QwAN+ZnH_&1_{VW7BuTLIAab+T4q^0bLp)4i!Wo z7GMkiQnr3%R^?S6f1`)_g>T@}Y7Yo%9|;3CE#Nn!3HitK1xhB9Zi8g)0SSH|J|{c_ zzXm%Hb5vEJ5Pkh#>G;)Fzdhz3AKUo5xX%t&VAK*SN+<-wUVZyXmUql4K6mKUa9iET zt>2Qbo}#WF54m`ZP~OnG)$^F63QvLjGpc07-qHLSk1#E|^xrv`728`)Je^Nr9n;>vY)`o5%MB0;s&rTSEs&VE#cy zJOP{j46i^jLlg3e7~jTf>jZfJqH<3*+MK`M`_ay*b+>v-G`cWlT6RoAisSv~r^qE0Aigh*A zG|9pCF&|q)D-}(0^vBHfjT!~>YC+NxUf9XwIZY|7e5IxTR{mviV<_vdaI}m4XMn_< z)too>pUtAB;etsJHE-D`Zo~Js$;Malb-`Fy{L6Y5e>n-w^uQFe5FaK(j?mj9v{EeO=uY zO`7+5^Z12_bJ;HJOyoh(IoP6r-v?VhuMY>+Tb%yISZgwsbdjR}YdLbvn`paCa6)AE zeDUj2Nb0G=Xrx~XAia=SL-M_4%!e*J_-%9-2sR_ue|Jlv=$V-uCO*^EdP12Q{cq(} zq+Nt=K8(ihi8fx8h|mI=k15F9r83gP#CY--y3RB18lNc9f&i+}&B2L_Zlzm1=Y_{O zAEb$Q3ci_>2w_?rvCzc#*5(7J4Lq4zYD5#@7%x#KpikuxP;=@9c#|(GYafwt=)VX5 zN!Rm{V3I@Ud*X z-bd0Ri$HG|s_D#1^zp6K!~e5_$a-O`piZA=`d@$AI1ah0%-ge9y0U|hiywxH!Raon zqByNkr<`v_HCMjx9ILFVR5-eKrAtOt$2CNKO_5Ip-;cb=`=j%%;O@nG`4#|<+|VD- zh8D$K$g~CfQN@!W2p{qZ8Twmb62U~@xpS<;1OJb#G^S1j--%stHZIk(Qj~*dMFKAGzd3`=VXR4Yu zEv?C1U>ymzI|qC-hFM#;m`VJc`|InNNj5Tcv>|_I3_L-d7Efz$R!n~c&Hjg6zL~{} zRQtba9L_XXFKce!g4P`ZX=jFRhVBim!=|mFf$;@mSpu%CfPL{Rd-SU0VOZtV&>Dl3 zL0LR~1P&cW+Z-2KBL*?=)&8HMZLT^QT9!cjiUQ4AH-3%y(0NgRd{9V>@WSSy{PC;D z{j;ZwqRF%-3B~XTs#2*HI^2U}<&S`4WmaEf4y%g-l0XjsC6uPuzx#i}wf0Sj~wm;9H?gmk~ zC5*n>tY3-t!{R?|Wd-Q;*Gpu^3zQ!ML+MX$f~P|w_EaiQt<$d7TQUJnCG#JLIw_o; z6oTdsn1dP3#sNb%m*o@`m5`YA+I~p5FC3AxzP)Dg;Cjx0Z9`J5!VR83ndirRB0i%; zC$bF*()~qYBxmxWrD8v)!#90NLN4RmBhfAv^b zL2O&y)JIbxnF?N~+g2Ius&_!(1#*=tqGJoEgN}0gLjg!0y3+bv%B*c|kmVGhj6<*+ zZT5!2d1)}lKFNwT4k#wnudICIwPIBmAsT_bG$a_Imsu`E}H&TOuNh106yU+Q>^0gfP6MM zy}Z-svucXrKIe+~Ezjh7@5C~0lSN!MyH7$(zi~1@RaM?dSYbHh1dUbYWn0$MPt$;#>!`IfQlHg_uHw`NIo9g@Ahm0;&`5$XJj$_gD+=>2*A zpINJ@%6a?Juw(cD*!}QLE@Wme8B?UlGfRVlU*p@+)d#s4YXie_s z5`|!U%A2{2hkJqmXv-8|$Y|j#jV^B}G~j^%XrL3XGTSkDKk zDJRe-do!s*IT~ti3}9wX{{Zu0>t`3ijY6<^q05|SV@1)Nt>t$0gQMlTZ*aSuvzbYD zGj3;&TB*q#_3M5kr1%}PxyV_J^8PQBd0dV(|ieB&N2&@3G%BEs@_o99>u6R4m z)%X_IaKLOe2|zbpBs0l}0e1l&AhxOCFTxX|&(7%m4ASQ!#zS?x1ZbN03Uq3+S5`uEV*;jDE^a==5q$E@eRi_b=UHoYr?aZ3=(;qIrnwd69!K5 zwS7#n6yvX|&R4FUmfK!iw@{^#Vy}IvkMPT235gnx%6N?9{+|cmJDH?>60J!rU0Sca z`|5!4Ss&1R$5R?UnF#=j=!6ak0q~u0DXZvY9 zz@~Q)Yi1usVbP+Eqp2}PKi6Rh zqC;d`Tf*=vwf3PeAz|pnXamDuD>XNWCh#LM@e?X@>f$jxCXuZV235eT-gb%TR7d5F z!Q5@UqlERpa4KciDgUTD0Dn97nY~&Cv!JAMHmclz$?ItC?!5a=hbuWuxU z3iA1!8m3k~wB8&!z#nC@4yEJ*ol60@4=i7vg9e8AndS+a`G4S97pENCH3oLjv7aNzmt zD}`-%0mz8R=PF{4>g%lniKb|{g}$)+V!^r-ASMa~)L&ku(eL_p zH7J}VoS5=!wY0XwMKXktF`ptOA4i-WA*|1H{Cc0>){cisUM1IN$&Y${Aw9s`4E(R8 z9XJ5*nXnXJ<?YZt`i6+uUXZ~vK_rK2sE*d<}sm`?BP*qZJ|1HMB$C50i zFxZ#<9b-Y4(uy}hjAo^UZJD(M!@9e&^y#c;!g|sYGHWa?0iCOeP?GOL6st4STw0Iy zJHyWvturPJ9fI+p1NXePrh``REIGHXzM@XvuCfZ;CWQX&{-V?!)vfkRlP|wY)$#jI zJrhVWKTl|ZOp@wbed84c=6IiZv!2+^`PDddOKB+OVnO@4 z5B!DL9_oo*do9Vm3-L6u68hax)6N}{UW&PGLznUl%xwu|Y$?4yi?)TotV~Y&SX-Kp zID!!g!)p3>d1%E|Mx0yy{cC!+qil~AAivKwuhqN;H=$Yfdjg>t0X=b|cam-qCQ0Z8%zs+nz_^wYsN9|XN!`LCoY$s75 zNqb=V=wb1z^vfNo*7I4tVftC7jY_~-Hoxz(@sFIb?@rZ=x%ETbXmfq5S>Vj5SLP_PB* z3cZi0tmqe(VVlHy=hCngGhu@Q4!s~HF8&=U`Eef z3W*?=jAcr5fuHR#enOwFUU`%h8Ls(3@ObEJ@vH>>muqk|$NSOWw8_qnI%b*z92e^* zM9YmQl?T-KGA{GDkG#_~T`qeW9IVP>Jusm}2UgX*9@Nv8GBia-`EC4v(klp!nst}@ zl<~00ehodX%6D34?WyZwtLPVkF_OH_W9YVCaR6J8eHR)e`<#|yLhtb8n9c6ZN9+YB zeH|r{8J5&F|eVjrcYm7l{m3tF5%-g-%oB--ZXFP^iuG4pUf`kK?4h` z&+lN(I@Nk?z$eZg=HNlk66_@R7~=MPMzvoJo0tyMS1u1sC6kJM>?|^xdHuWe5hiX` zW$bfm)w9@RhSm^XW##RV zNk5J`_?+4?_T1_g6iHppRsE*hy*+;;c!>h&ThZ6E9SUUOt%Hs3?99B&b9c2$NtvsH zgqEbUz&#D>RJ!VBskUiXkX|Sci0ZiDdrO{Q*INq0CsaPh&;MCe9E6*m1^RBu zT_P;W@yCiI4!e#w#0FUDowD9l@nb4^(dF}M9|dyTqA4nHAH%zHrwxgb?=AOd#P&a@ zc|TiMdunw1daZ7PRL~_fDRmB4Sq#yR%nLrR|;XfC`2tj;sAZ@ zw*RKatX+p_o2%aRQ(w9=%lGJ~LpPn#Q=P0C2D+XNE&XooJ<1GnMq5I1smXrVzOD^y zsH@R@@UH1wfU)hx1MYuT$jsUR??bVB7ODDupBpPgKLb2fuz&v4;H*iE^J;Q z;#U#>OZvBP!z!~!G*Tg)0_04wF z0P+uFgR=&;`d!iPdQGvLYzBca;r%c_1>D+yghr{CuW02Dls4Tbt`&w=-L()mxm?q*K@iPc)n+`xm(~%~{FA~nW^Ax{ z5CU346VLGds@PYl-nas>Hmn*!tz1nBKX5@cNVVW-0^GfJE?0G6sSfl}LVDw|cES>a zn#b2?&usjMB#`Le#!FM|)8bj-A>l+!Fcd6)B73W|apPFTe>J%t-v zrLpp447wu?F^zrS??BF`@znn^Q=OOM9qb-ks?%2V@xD#!B;@+?rym!%Rrr7)h!SURb zW530EdNyoOo8-x3w{HL#J9M)sk9isVp2aWkq`2eB_43B&A0MT_+Ur$O#uU(#LWyj| z1x}b_MDm}?=*-6K$MO4irEz7Xc?T=mH0=|fo}5L1eaR?CF~r|pWovE&8zu$hpJUYT z!Y@Pg!LEo8rPLFzaMEU!bG=i_AEGaGV;%kBChD2MhN>T)KF|7=6a_xC83~ts9l1X( z$ny~w&`7Pdz1d~#oDMECb|F`Fil)H8g&+J+2Hgf8hz(W#BK#4fYsSD?%^Pj;>3JRX zP+uASn@Sw6hE3z8Z&e>LTfeGs%h~}zL@EA3oJ2(aUkL)hQ^{|jl-RL_{5=n3&TaJ| zGmq7-D?|ESF#+v;kaA?0#>(cR;SKDmN**cTeb)PvaP2LwZ4dZ($_JTP!0fDjN{J(; znhd`=E3-E+?{Fx0UwX}UL>;)rN`l0 z=71dq!QuTLd=LV_ZIbDrephTz1vt&Bh<%TtO2#i6`iC`6;X20QG?A^2}B0@l5I}fK>c1P_&TS#~^?iC&ic6!(+w; zk_^~ZVW&ediD0XDX{m=Q??dk6t;*v7*pXq`+LR4UU#mUjvpoT*H~EO*ihtw!1VfEO zygmv2JyhRZTs34q0es6fKcv^l$_cD` zs+D%nr*eL?cVU8`o)UPuqVDJD-x``Kv9_P%+huzmVvq9RNtIzOU8I82`HV@s$^9pV zXO(|CDIm>G%^(EB?#lz&$w~trolJ&WdiOTWqE9^;@jjg<5CIU=4HD~R=L-aV54&Lz za3Je+S0@`xRUE(W2}w|za{?pG=XL_&>d|kl*YQn9c%lr{Y47;6i|w|oG4SkIz|#6j zIxy}QRpJ!*!b#sBRj>lg#V(TsHue8WA^p^ovL0!EfM5;4VplZ57v3g$Oh$8|`!JcnM~0Jtv?*9IozEL#62gMM(j)nNhv$nwdGXoBJ`?3(0utSi z@u5ENhsM)GaRASTst`i^KSJRWfM?3))tm8hhGp$T0vpa4mH6-F5AP<`dw35e`Fp`r z;3W5RF{=2ckgEw zR$mRNupy^))2v^qWOop{gk||ME6{h~XgVijMQQ8@P0zmDuSooXzTaVzlW6BRV3Kqp zGVk`Sge3t-1ybdEYL~suvpji~dI6I1id(xZk~evVsLTJZs#9~^xqvY_SN5jokO|Tc z_96!T)i3A23QBdJaYKbYQcN=} z*(23-Z0WCV2|8j|jr?HLFAe4|_D!Vdu#7GSZkd69b5%(dmflQlNZwLz7EEHDNaI2S zZUrTY(}J)TnI9OX1BMUYs|>CT;?OE)@LI{9c{;Eg`RJQ*<%Nj9+1k32f$~#)rq20K z*S)u)$^I_)9k|1#cDPi6-63XZyIUgLNLJtSP0#tyixMp=WZ?%ZsR+$R(ldrZ>`G%Z z7cj7k5*Cv)@J96-^j>(lyb5OtYwRVKQ}bN%=g(7YWaJOSQV3(ltoTLrOj&xTwekCy z12+OBK`aFhwhu;}@RcsS?WM$pD$KYY)T`?Tl*I zt!7{?{by0kNhyboz;8KAY+cvFl13^9*dfd~ICm5yF z5%uFP#8Y<%znTx3_ooLwkbszi!eiW3GF=1{uL=)*USEva)w;}r>F{AbAHG5FEF`k< zohYvpx8PehH~#7ixtBP=pVf(P>SMVzI5_3&ND=o*)3+T-gGdD$oL1l^%}0nrr6CxqdNfmlB~eEmVa}QD8%u`L%7MY*T66% zlI(z$m-}ttfWf}UFYjzA@@r+s7X73d*p&TE7>JB*_SqpRBYvq>aw_ETW+)KLRn~9L z_|AH`W;rsx%6-K0n}AhMw5rvyYu-NV-P?dm*Wk$V(m3);BDIs#XiHMe&2WI*q4X>+ zrKM3Lje`MiLuu`FwmX=_3HW7SBWMQpp(-%`J!@Za3u?7$ey1=}TI#35jd*~g=Gsg> zMv#CQh%V~ztVitY?7yiWbR6UT(d)4%irhJyPvi!psE~4p87;D{k&WHK6M%?f>)yqxcZmIB$jdWEzul?a3@rmB` zPBuH;zzUGLgiVYUB#0)s<~zA=jZtBQs*1o$ysc6HrUB-#yFR8O2Ukl>t{wu>Z?na| zexZdvf(Kei>S@M= z|8mIo>fvPy=X$Z1J*pjX-R2c_-aPUR-f+Yg@vC3qt4{CKG?6+X@FlH2|isu=V7OiGIAy>6>Pg-HG+kwK-Vk312>PBH%E{uv|N zh^Xjk3PHnpOJ0(WIo|m9tspa)o?pd7DMoemZ@A69V_i%RZv}-K6aEWe16(MdU8@c* zY<)gicFGk8>`WJM8-+FM>iAssN!*J85j}~XXIU#{-kvrZ=zgbbWat&bFe~f>?EnL* z&j6@=T`m_}FdIyIyjQi0VYqL2CPoEHzP7LnvWJJSa2lC;xwnS4Y1OsGO$C#HK!GZL zu*Y0xTcPb8W8ZnKA&jg z{WBWzpwajD@_&YrUTPTZ8fur4AWL2u<3w;?Nv?p#(c)9udV0|Pm`+0Xe-~ePi*Di| z?4?#_o2Fu*ER}}3-x|w4v~mxjN%F)RCmw=jdYgxCLi%o?rr>&@J|=~qbF$!cDjQ_k z?(`CU+f$G<%Ha8ySA9MuEt2r{t5)NFZnj7p5i_}WCdnTlWCeQ#VShx5uz>iLx~Xwp z3MiGR0sVZjV67Jysi(*v{eP0zv!VcpDqM8NBeC&HGOg2AEP7A=h9|DQy9AG?ITab^ z|4JZ^g51k#IVb5uYulK>2T|6eRb3V{fcmco%Q-Ucyl$H%93rGMa}|w2UcqA&ueqwL ze{UHE003jikDeDiai>URqR2gj<$4_mqcKM_+rwI3852L7WT~c{UF(I1&q$%c8!Aky z53x2CB29ZClxc7e`p6kPlN$l91gvX#H=Zrj%Kq#r7r#}|npEZ!iDj>Q|H)_{2bSAw0<&c`e(YX=M{f( zz7YT}(Rn&7-dUOFp-R=M?Ivz~W^HLOA+vX2* z?-Z|e>PVNxD_ZAuQhJZo_X_&4%WBjpMj5f7mXsj5{7s6puM`_IkBF_6%B+=I4nAV7 zDRcLr0Mcw@wdoUh;fVc9u0%gRumUX>QfwM^Pd_P&_KxRl89Td3pk#vt7GP}q-Fe{> zt9_oZAG_^UFi!JRQe{0N96oF^!kEmHIO5F=DG+L>C-Y=($0-U+D2pYhIM8{`l-grD z^vppmy8J?$ZA4Hdxe*mX5|$Gpd36DA=NULADz(z_{0RPuj+TavD&6SO?(iQc)c!o- zrb&raL6rZ!YgF-Y#(7af0nELX72yfRt6xy9;xax&HFLA>OZGydaDz$D!>?lg7~RV-?yg$8{!{VGPgXx{ zihe63TKy!6wZ6sWx6(CpZCr-S@K)O>E2;67m@RC?Q|puP*)S1OatB5GbjrYsz~Ddx zy|^wwK*{g)2m8HOlQZGJ<;o_anL*ObgRu%=f5}VSaP2HWN72>aKSC=X>s!;Ed*WTI z_<#$0Ql8H8|_MJ4W~c6b1>Gbpn;#KdPiby`c*Q=%*5!`eaH zqAQ=(db-H<;$wTB7GjFeL{%O;CDCYiFk)Qwg-%U7=C(L;7bbRQ+9$TzoO>O{^lt{z zvX<|!q$X5*siMn45RVz7qhh+O=%lEC%}<-UKtN-6x%M^dLKh;H;fg!E?%70$SiQ4>!H) zHzvN}dkkQum?mGBe%}FhjozX6(fne^{bfQV)q>fokbJAa2p`_8h%d-d^q+9bRO@yJ z)nwL+-`k2jZAj;weOgu2+?v){`o5Omxd$9vd<;C)0F87OORmlNHH0oBDq-;}tT1p* z)Nakg2)4C_4Grgbp`Fup%j!?b9T~p(b3rTWA@C&E^k2z5k+hd%YqP~Zq^Ey6MMo`k zxafG5cb~Pjc{bIWNfpc4wJKfaV&YS(z&}}ljkjydO&}ZusQwv*UB+jN;RUFbbzTn1 z;14lApESA~2DS?-w0m9agj-T{$pn1aK78u-AOhuBh^Oi(=Q;L4)aOdvuQ9UMoC{>J zyNLoliuDYoJN!u8vT`dg*X5HAJ9)WU`Z8r|ZA&o8P&^z%nD7xj@Xq}X-z|!_a zi-DL_`#sbXCrvvv^E&I+;@Z|j;${7JkjkxQ^DzE9$jAT9u4xKB;kPF9c&LM?=5NU@ z0NU{zv0t24J9T2^9*ntrPki7W2$uyYJZl3p7&=(!Yu%O|SxX*>_kv#^G-$=JWpF=_ z=1IGci&&f0OjDn9M2KR+XYC7SvV;6K?t5yIam{DsZ(fbA5NhYye}Ye6E#`TduiZLw z%=$oUI=II29nNgE%#~;F`L^YOL!gIQf=BfPk1amuts;AFLySA5=1rKRiN?7e+6Z3^ z6$^v7_|cYC8OJnauOeUq1zT$GvjhJ@O+h#i=dsf~_(X0R1F9d^1T3AL2lUQL^2WAJ z3|?}CkY47_X144_2;YKs?!r>=pO2p_1~f7N5!QwY#!+~c>sp>_Atryal5O8-o>)F` z$vbxZ9p-`sxNPL5;2-Ea$x=rBO+I%YIiV1|o=vUII?fJKs~7X+g0Ny+sUD0n`TzPp zxYeM24Oyz&9Al_pKHq$ddeJg(Xr+0nK(>NS$Baoq<6s+z2%(6-L8cC5hm3l9s8M1fMf({S~yO`?v zECinuZ+@Z0wj=^8Xj{Ot;Ls+uxvc&hKc%Y{nqs1Y3xZ)+{!J+om&@6Q#5Hf-ZfF=E zX#2}T1)cacYnBr`>oP52fI_2UfQ$F$1vP1&ivnaf*ISc@QvCt9%8Y3% z_(-&L_E>b7yHacthaF~7M3^ir!#6_?2@m1nk&F&p6|x6jkdOp!I?L?sHahYQCadwm~*8Jeob$>I~5iGX+JS_9=z`E7zmx-O0LHO6XY=J&BMPG1<$mFQzXN_YE7?eexXu zfZ$LpOxh=s(|XSv*f9KMr@_mp^TgB8@|q2=ZaS9Qi4}g(VC*81yRwFWF@nDc$qW>! z)1(l5{+m2BWq4tTgz)5x68KCww4D-(mj0BV&;`8 z&szGYI47YZ4HRFB*a=F3Q+AC)aUmEIAcGx2MJNAW_q>L$wSQ0v{;87(%N^AE4Wb`3 zDfP4dsk`X*dt%;-m-)>853Ynj&^P|`Cn*$Mjd-RGe==AR>d)0w@5ktt>g5*F)bysj z?6k7-zXhcKIQ<7S{B<-~li~H7sG7MyAVoX_2P($E@s)JC&9dHW!QD3twyBJ$xC%;F+`Ya+MrRD6y;#UOjgmWMhzZ^3A(7 zHlr!@`dd*>OB~+mn^22hpGaBoRWKbp{lzw|M4XmfU*A%r^n^0JL6LhSf~c}KlN)2I zaKDlZ@MN?2r%UU{Ra|=@kO*uJY|4~&azF4d2M&0HReU0XwBBs(CF=BgcEHLS&Qgl89D9LjOCrA{=x9(42j958D<%C z>}EQxJB3P=QQa%#X)5AoZHsjm6V0e1i@jmpZO>iJL3=)CI*gWX#~u)0?S?^2Ck4_7MF0}FxIk___o zI1ayf!6KX8I*gapI0`9PbRow`ucFBDSw;Pnb0`B#!JsE&I6_9^3Qt2qlR>MFd<6gB z2?Bt!qd_ou3!t;*Aq=pP%-eNjO-cif%ETpuiDgX@c#H+y&5|6<0HAq!mC+A@b4KF0 z3ol9G;vUkyx^gCI_YWFdA`55>Iou1hci1~T$gFO0?=8TBima?}I{PnFX5v1!F8eei zRLUak5mS($N%P#Af9mu6EBy%Q$7wAr>eugBAsYco8aO#yqcL{@ri}l}mQOYjwo)T2 z_yEo~CmiX8@~a(i@t)w&yPjOj1cCHU%V3A$tm+X(-pq=Q8h#-fp!(aul0_$Eq*4{_ zxD{f$6lOaj*dA6D$4?fe6;64hrlX&GaUSdi>6Hv7=&5Lp7v7Sg{Zsh+`x{y$6&=AO z;m@m7jnFN|9|7C%JFE-D*dLU;HJzX3pBB@qJsSMwgLG=LlOP4olAXR{Je4RNGg#vO2hp=eh`@ZH zj)9&-RP>-)TDMEgSgW!_*zO!pMf^hPkwrZyid zO1LIJ67-|@AFAU&37>gR%4TPMw-|F%dz43ROdtuy3>2rAAA~7WD)4VJ_&Uqf#%&A_ z2{QxDGwe6SK!CJ1)%S%PtmN@=9BIT*3#oi{BEi{(T0t_|^ag+W74bcw{M-*tCRm zlv-I~yiwB$Z#wp97OBOVIxe;Fbh9HfRk(Dj(Rut2oPpK$){SNWK%WmpM+3eFi>!0d z%-a`tt6vMw{Avvk>;P_=o^`wVh^bM~a||I^Y<*0o+yh@M^6 z?-swvsi-Zj=y>&CD{uSX2L#F$@8Ygiac?$s-mGM1A(5)1o{M1n%-AIU z&H92?wNI2%%ZZhi`uhkzkasdfaoKoer;wS`L3O?CAqw;@+N%~rggd4K323n?D2G{v zgY_Exu@>wp`=HgQc32r0iFBg3`83cz`FIf8%w9iIr7{DE%M!f-UtQjYMwE-PG;s|i z_51c|Ajg+g$$F&b+08;i=gs@4?g;IE*ueo7?BfEmBGrt48scZmM4uFX$R70E2khv* zVe6)B>Y3;AXXB_({-O{9y%l1R6jl7MD2=AqF77{+NT(Mb8DIsLVOT!c$dp?rquPC2iT? zinqYaj&eFcjCB3|r#zQ@hFtncHoGoGBchIuUp*OBh|~JMCmukyb*gpmQ@ne9zYoIo zPm$j*k#8N(y4M3a@-58OFbWg#dfoFDF6++Dl~9^--}g5w2ta%JW@c_Oo4|rzdW+m$ z2NuuxhDKYQ6BR<@6T3^~B{XXIHb7bFSI8%Gw)ODu@^1`>w&O zWHoRf{3&b80%mT|Igg(7TPC1A!qF6GPG+@*VvGK?sL#wJ-^x5qLgQLJnOneIKo+@B zT;|UGlqX%x5>?I?Z!4)PwpSl9ZnT_;fPo)yRDZiT-$zU@0`=-)c=g?}o?xZl+vldY zQL}$h!7Fi#fpb<+Mq=%ZyKlOEzPi$=JpieLWTxI6vw{pFIyHr=mXM)t&*DhUJYgqA zX2J?Y_9kFt8F^FHu+Tqzue$BSh0P?>d`kRJ$?n-X| z!6TM&2Y6OG{)K2O`7)5nRp9@w^eiN?ub;RSn$@Cc!>t#*E4$v*0l4m6p_B?Tp9#?e zDyD(NbD6|Z2D#?9!AhJ&|Mw{-B~*A<)7N*(sv3TtX=g>&G1c*cRwFTwlNC!uaQ&Ky zJo=H3Z5#ORxZ(51Pf=;?&<+1pwB^wm$8A*30u@ zr|=AGl>}EWz9j31=@joEzr#*q2>+JT+Bv*g2B0EcBLSM^ntZp$es#tsN`l5J$Mkf( zngp!4PjF&cTeY~Yd_O}nC@OI(3A*ymb%1H2O9s487XHbT`3ZFRz-Y=)CRue>BM#*v z7bUxFDQMuEvgeL`LQ_7N)&mo)vKtwqAUfx1&bP`^ZRxKcfOe_PI=#|yf?&Plkt>sCsv)zt-g+Od?wB&Go$f^A{*W0%{wo&~ znaJ3UhQYbnS9Q7(gy9^q7O2@e}SVX>k}*E5$`Ih z|06-{TSZ3`D>7P#S95$ zld>^Ur<(?N9+&d0V?qwG3Ou)?t4usg`g?FeD!(XwhuBPiS&uIHaf==+1V(cX=Q z!36H_^gdeDqN42ENG*1;)l>OFIcjienOP;79E7EzzH(Qo*w(LG zU8-BUdQu3ve&!lzb`)z9LVWjF#BaxF$?ASwcfx+086u4eWz2KXl4fJkRWeSR*b^Pc zk1A)Xv%f`YxAt&lO6{L>WjH{mNs!P&G;I*b@WyW^3RL=Ij6P2K^b^b90;ez zcu?TZHxf$OCiNz2!!X>LAnmIMRtY)l%Tt0vIzJsE@ylv6g!=)FW;W z^p7{ShUCrOWz;_B)SbP!PkH-o0M~_F?B0}@g1e6pSsz0H%(o!wZAk5KuU3#jkUe|N zT%XiCHO=v22e?iCu?EKpjo?E{o~3Eb(`Ntp=_*%7&fnP3kfzwdpKlE)c8|Vey!w_^ zSA{b79f^DWi0sBi*D@vOPp5YURb1xc!r?e^fdrJ>?N)&T30Gn{jXUj`8VFmA<`*Li z2WM|WuxBri9qsA{re|B0C+D4>m)7bpZm-7pV^N~fVjdOhD_xbwF|a1KALQ;fT-RS4 zH;A2jlsmxF(+q!Hi0j)qU&*9CfQRr&Mu*OB|JXH#7RmyZS$Y>eoq#*>*IxKyYU+7$ zhN~U$JLewTTxmanRT(I>WEP5@s%u&4hO~^ zfu=!VpYfaL>0_Unh9;W0?JO=3Z9zC*vcbX`-_YeA{**p4|E?q6VB0G(IEs}Ocg6#Q z7($Pwcmyn3*$3kDdVXscg>vZSI?~xRh$a~3dcx+#tK6!&i@{aZepDE#bnKIfPLIhl zUB6S_OYNuS)f=*)hqjUh|4Xxg^j+ssrWyh97&=_IxcVcGbF$uxI`wEf`g?1z_icI( zaN<8dAg!wmq=K#RgBl}!z@1e6ok*M~c=(P0<4B-oaj}*C=J)~+w4#{{?5S2C!AtCG zZkY|u;&8dzF@LZzgB#8|-n#YKF9v(QU>EKie`D;NF$$=$XZ~AuO&`JZm2!(Oy1exlJru|AM=WLFO25wAA1;o9$Yoh{IX9QVgtJ=#_(u*x>tFZ9ehqN zg+$5ZcD1fYR7#u~ZG{z0EYKPa&JfPa4d1@ze0G!*%U0ymQd-zqv0e}EQW0#NsBaeZ z`(AxL-#$1gc{$IPlCtJNp8VkRV0GHMAMtNr_YVtXfkpSfIB#8fpK)Fp+c`5rqJUyvPHzpndEB!7u4WomKM^XLny{9n=0smZVQ8?oByQnVQx_ zyHU?|tk_!aS_|$BZE@o(WofLi%rB%*7@k#iWp-9WYA-#RbNWar?fDEk(B+2W&rBXa zOzHESSM3ehKvRqG6o(q3|08uvqxG4wJmSvX*{%Q<9Ur-=+}ah1ShYAQWS82M;Km^q zJ)=rkgR!3gUpn+;%!@BhK*hdSCRcNDiW!I^vd<&p>Z+;lr$oH#1 zvFoM7ONf>{X_>M(E4RH&yBePF6o2~a4kqA@Tzg1M%hq7c?g%Dn0G5HQviyaYF z!<$C9^Y*8-t+pG3nv1FOo$TX(z#D{NCSiMZGBF}PgXXVbeV7>Ih_?I6i*mzoQhk$p zXS?U=5w$*@WJ}dUTtR;5ZK;oWi3bVP9@AS7P;Hvz3nvCMBDS#1<=LZs7cXrSngL|l z!WKHc%2j>so>i}tu2)bwO{u)yeHy?VN0{otd1YVLH@XeNJ_{NwKAoD)0~h(Zc<&hg z*#74?x~s30k8SPlk4?|a_GGQ>EI94%>RCaDYopd_$-1Gs>Jninp9R5-`2~cZycPC zfdI5-S!ike19h8zcv+zAhUqL;^&W{tZ}V==*IotuHXx zR!t2_5k#o&Vh&ENpFM7CCxI~^^FK{(dZdjFZGIX@=~fmo?3`IVdWui~(kmTQ7pZb@ zQ7Fj0&3tgGajO*sMNBE?V>S$O1=Tt~l||YKJm76hKA|#QuTN_aP$7pNrsXe;m?tPa zW7J0%IU|^e$ut}z?7gIm+z)`oYorpUFbLZ$ajwpKU!8-a;~YVm6g)b8%)XZOINsD=*f#sC$yCr-=N0SpYi>^Eg?uU>vx}H zvL5Fh^n(&iu?N4NOfznk2uR3pAN;LzfyRKk0aTem(E!2c4MLCFj^_yi-E0EBcE030 z`R3}%EBoZJy_M_VQw9s|rOPPyWUxZKd3;1@RzJp&=3{WNv!nhHcc~iX@$=lqfy|ci z>(3~eC#Pw+9ci!c|0K5Mqu}7DL+&9WmXJh1Q&b;@6+AULx>D^GWIGd?8BiLXiBwk~ zA@7^#D`+NC-Ez#T`P1V-P7NJ!JZ_i}Od;oFZ=o%vEb|j8KeZ_Grnua7exauHF)f1~ z|EKI!ca28e!iOGW-{zx^xbL6XYI;;(3v;vCjz#`)2{eRJ*r7Mm9kOQ;bF=Z$P*RfD z*cv_Ep3)$;!w!G`p{v8r;62)m62ZTun5TXh+Rn5FeCoU*Q7gW8RDE6IL814j6qRHIOjrk}p$c{Z;E76yh#FSb5NVjGDzDkxGO>leEnUNl^%9xz_JIS0?d zO$<|K+viQUUcuhNSbvB?yW^bh=szY}A1@vyE^m;*v}g2cuD8x7k(v27QRJA4BYG-o z-htT|Zs&F1s6P{R;c^FQx1HZ1jIFvQzGd9CVAx9o$7I=mLg;rChk8`ChW|$F0OB&0 z=>1z0*{0qz!&!?kkWhQ)SUs<`lo4s4Vp}xRBcx2)^AnV)?K|=U?*70@9K!e9z4EQM z3yP9+pHh1CnfYvnMB6L5cU)bpH>PTu`4}*MRkmDs2Mr@=++f6hsWa0nfL+316dsj7 zDy(1Qee?;@x(VtfUmgZXd!6;L0s}5SxyqZjlSUYQ1Lx>ae`*GO%}1NpYeO>TA$cAez7mr-z%t$vqIIO9&V$2kVPd1^_xEvh zbgn4|KzyOR3UHDPOg1ALMS;FB-cbHcI{HI^t&oxLxsfy|;8^A;pL}W+o!}hx+93gfNQp?@2(S#@S z1Pk)_NM_p~D6QX)z-1(M3X49$xe`R|@N%)Mt(o)W#wbDX+f7AFFK|vq3SOkYPz3+I zoxh(~7jMD8M)+{|Peh)(CnuwGuA);v&RGWVCTL^{T7w%VAxY|T`y33X8h?~5)qP7S zt2ouJT+oiNBT;i=9RJ`dW?-$Ahy4MMit=RiSlB5#B(yQkiK*7NQi6PuvH)i*Qneeo zLUIGV3)14Ov3biD$@hJ>x`hSN5>^-(q>c@3YZgZU)%dc*1 z49b2~w~6ZnyWVlV_i73-)ArYFU;(2iujG&|3!T3>yDZ~AuLo?WqcRC)5k7qF+Wzte z{U?eq&~GxPUp1FITGogXLSxLTp&UOD+@&^3>+se7Ef8;>%#hXM*g65~`QbC1k~k!l zlfc4QYNqcBE_}M)F83k2in&pyXp!nY|JG9;TpIs_4Ww_3SZk>!0HiCj$yz zzPm!mB|QHwjX5wX@OCY%mW~p-5;UNIGhbgEW1H0TEc7LkRR&$A1|E zYdwvsSkPP&7Jjs=5LcPK6yz|n41%}${htKF&Y;?$fPgazqxutyr%FE{L1q3T^}B>F z?{U=oJL>^t3z?S*ZA@tP*T)9Y||($x@P>u=W1u_E=ChmI#w#W5fYkha!&g2_GGAtsvdOO3_*;Xma}(@3A=MQ*~T;3hOk3SLUqHUIVKM?&f6o#B)G3f+xO4Wf&tc=9+Y3%YUpU{Pl~pdhfV*DJW0!ZC(N(RZn{YZQtL1bHg+|e0#jR6jCdw7 z(_X{48k{gGaPXfNG4R@$F7wc=C4`>iwNolpdt85i{fzdt`A6)$PePN#S|c+wkXI}U z^UE}eEsHz3lAq?6~Jy`5ZZxU zP*m)!6S6>)QcOW}kEhbEmyl9>cZqFaHXS~KoXxf$T(UqLv8$Yl6R@8MwwuAe>mn=) z4prT*WB@fK%Z8=4QZk3wDBXHGwBLygUD8Ca%i8=ElA1p^Fl@m@FseE}iz z=d`0`<@~G}6Jjv*l^*(HO&<1e;}>4c|9p0bnrsMO zM4+)Rx75EWi~@s|3a#8mg{1O&TAZiM7BXMXqtvK?%20!5kU``Rx9rtrpY*o*nfGPu znfR|9Xa$!Vex6)#yT{kfp?vwtPWR~GDl;FApV93hMCw?W6*G%j?|rJfV^j9Fvb(?h zdRQanRp0C#?|Axa1yAf&U8az;{_`xDg{Mwwlj_?m+fqOG<_Di(uw@rKi1+gy3>iJ` z1HVA)p@MaqXQRUa!5n&gy;aZ&CsLZ}s38=sNkC$S*5m-zs4Q7t9Nx}{+bbvXi8GjO z(}>Kb>x<_AFM^KSu4vz%u!wJJco=`&sQ8Zu{;scl&wL^%q3zh_s`p~qqLqglkmet; z4{->hzQ{FR73WOfKr&J-`dp!wXGAg@2%LUveeVpv7lB;t(WUUKI`MGsn8!^<@kPwW zCx;~}5M*sRj-nHducPc_+tedzz;DdUV6h;Pqo;v{oGZc1-}-p6tUr z_61L~Q&CwR3YTvXo`p_H{Lcj;&n(*F5S5I9b{4-guHC&m=&UR`Sdg_Qz*zltR*Gs? z0I&bdgP17tzAv6VC2zs0Xy`^F?t)+6wxct`QxShlyfz=ND$9cDKs?{+YG$YjT0sCc~d-h7h4ubT3YS^wPo26_;IGEM{P0z(ks5S)OF*_0~fqMGu2IN1F`i} z@|4HlTnu^{u;8>n`a%h1%Rw;a_T5v`bn26#_54#bs`ibmG`8F?}wwBNa z!_!8Ed|u7i_=qs5JtG=*UL=q56f%WSHCAf39_RneK}}C7WHhM#V@n|T{*LtADAP(? zeNA~8o`9C21dV{+EZa=VL(q~=iWP&6Q~0rQtIdXjkIGo|$XO*p`*+i)sZ5U5Q(j%u zD2spiX6e;MJ{cx{9ifM@4P(Qqgtg*dW$>oh#V<#UqrBokEjUyx~p56AnQ^YNDEN!foy8C~teOmsC(The(pi zMItBD-WD9p^U4`d$U^78RS&eM?g8hA>ZQ+$d+;l`XYgT5-wkeTzLRxH7+*pw?nNqa z;2Lbbum_T~#xal-&EvVH{ua&mhpwrp_+>J zA2@Efs;pR}oqy8$l2x+!UQc>c2@0b!MPzan!w-}*Z(#fMtausNFUT_Ej`opq0;%~< z2eU?3nJS&O5ciL*U)!TPh!|QOfF1ALjW_R9Mas z98<+1`a(gC;@i1t$&9M-cRHyxonnqvL3><@X3~An@-%TEt)2S5q?|_C3(!vE);fHbJ~T zG7>aKb9OjF72j48K&6ClMzre z4vyuuSQJYYVQTJBnNyaKVLfwxoo@nDl)8BU{mcmQekn)mJ$C5^U+y7F&U|khEw!f( zd)BZbYTQNwVY&#JET(U@;SEks(a<_M%dc$nboGss0YAyTX^WN+WsFtfFCvQ4<}H&Q zl?1G|MpS#1Iz*V5x3*Ym<=I2eFyl3?#Hl4SW>BHCIDoiQ#R2Ig10$l+_Ev&zgdap$ z`7~2s(Io5k@C?p(qV$396d@W>f&W1W6-t(K4;4+jHFllA#Xi4R^E^yYPL+Z^VFbqZ zU)W6)Z_r`PX{gsMkFm~5)2+GE7;&bsY{TP~R~UdFRDD0CdL8vsyAR+Nc8`?5{Nwt7 zU$NO(JB{X}>Mgm@oLKce%SX%EuRYZy_N)4RXO^;VHb@5jQ?d!LAx!~Gm)*MCX`I=6I^x)w?s}#KWHGjHp zc0#y|NX-4#XKl9KWK+eFjpR;#{qxVvDq<3aU3LP*X-jHu;5_RJ{F!sRvMtx`XhpMx zO00nUWF7O_FPltSD#s7ER$L)TXW=_*@TFb0!&b1g{gb~`KXKf!qRt?Ye^r2c?b%;p zHr3wyk(O%A>#`Z+Rzk+0TGlC`&m;QS_QP&uK&1-1=c@j$tzX2qq zLnW1I>ii&@e9je~LY;nC45cifkep6!q#IPBeGGVMesCXR3aO29YwyM*qV)f5HDjuVd|e%tD(EHZ4N+)|slUC1 z?;0P>_B3V=PyRAc%$SM$fp}VRu(_u~3E&)y0`eDCPs>&`2NovzED4@_cbTMT0c=*L z7dQV{i)oC9Z)UE**c1gO{~k)Q8YDapc_E&EkCLlwny?_9WQ^I&KfFNsHv5($3QVX2 zyBeL~eBv6|r;yLgpqK>BNHhZ)PD~GDRA6xPEES_z)phzb#`?U$i>Yx8=dpS&7r*(R z@z7CCE#&WCeFt>y-YdsQy}<-Q-tjl8|m8hnl<)Rfz6rUk#z@c^zLe87KK9E8SrF6Tf{3Vn2^(iaY44}W`M!8lySUfEOm`b* zl5CV$j{mjR{IIaB_Yr9CByeTp!wm)iz!-;hOFH{`F$e>!>E!Z&b@3U)y=ElZm5>s_ zQVX;t?}hhDZY4cT%NO&{rxx(Xz{{k*U58TSkV3(yB2P>r*_wDdx5mbt6uh$qz3;7# ziU&~?r*~Vsne^HIa$gEnP=Uh*m0cERwT^V*7LZ7X;!tPoZ@wegh~F74478%&w(Wo1 zUQD=yw?!?5M!SO0kn}GUQ93IUNiEqdx%uXf_A2K8^U=_k&PAD;4rO%NNcRT>zp<`t z+YE$&+^1oDxxNXbHRC5+th*Q#g#kCq*OsViDf-WmONHQe;P8Y&30Rwq6a=m0Fm%4+ z`*wYDp&Z#j@2&VmMLQYHzfPGZGn6R!6@Bt?`&8$QBNSg*#`~P?z1nZIz+PB)!@mk=lKB`TX)-5=FJNc8LRESX^4B=$im(xZ zZaJL-+gH<<*FX=0g(cTk4gc2Z2A)cEhqLIcagi;c|_Mvy17Y z!hF@gSD~Pv9y~bEB9+fXNDWPl!B=m>mwKESUN)EyiY2|TM_+wCIYC&f;3WJswDT3x z7cdZBUG+kljQmeo7$mFoKm-v@S+Oo89Qj|HBMRW&?vG(mS?Rv#1vy~l5D?F2ig2`g zriK#fjP`Ju1)-P;Z{5);ggNB9z_opRK7*TP3LfqcPx&*`_$4sm44ame#qjxk)bUOuZTG3=eJ{dwyfh+Z4KR#x0?T&@4Wo z(6>sCl}QsJPnG-R+`QE9i32$_2NSb8NY|l-j8jECXV$z@8dFp4tt3DOQ&Np7QpQ>P zClDU2C7gXtp@n2OwVsgFD)kOpxM=+y2r!_#QNREm2+#NC#*aI97F4%?HPg zF)HuH;PHo^Sl@}X0B;4so1XVZ9=BhZ4I9F4K;Yv;GJ2|&l)O{=^An*9#4;%D2sLKk z)Y=Kpc{Y(!qn=hAK4L=*0h;2Qs2faa+?P7Mkun)cUQD#yR$ik`^GRyq!^fLHR#zUE zlUHQk(Cx3xUh;tsA334QR=L=UlRG3fJtewE(d;p$y}bLCi=iDj7xNa zIq@|%X6HMZe9^GwCP8LAuirHv<`H`i0yB@={_TaP#ao&+*joZGyn#AzB= z1SYIZG}+i3vr@mX{JxJ#S4p?9b?pjeRT%ARu4z_l7yKRpCE4Q$8R0?MO=Y!Di1$6H zs^u&5=oH~)fdzOYH|>5TjpAvNOyaNQGIM*H=I^qsyc>Jp{`LiZ$h=xL%b9wZ6qFRi z+6IeDpRt1P*S5VQARPtN(aeyK@C9MkMCj3&=%M*eXQCXML*^7ZW{mLf=__Odr|#P4 z@{(%6-@ko^5dU-AHG<0i45K_=%R`fm9RBT4OzqeIThXtX?%`6|SGPbyRec8%g10iw zQ`_BB47DH+04*F-vUIyVjvtNWH1%4EU;=}?11u+Wvgo-|dA}}Q$EdPaaQVc`VH1d8 z|EPCJ-h-i;M8g}+{d1tDOZ`7>Uw zNIv(zSTC!$=2}XXc75;hna@KTpo+sa zDf59Cl`&DZVuQ(95r5|ef-?J7XYZ@dz%m0tN^3b7tMFz#$vd)YT?v55N$*vdnEG~D3Wf0VO} z^Z4`X8$LZ57B8Gv+Mr7Q>WDVtO>2C67e=-J{X6CPt11k#&mk1wJk?!2PO?}4^89_? z+Q2^#8f62@2g=%GRKb#q?7HkZ{%Tb_z~S!_BQOIeH|#qd@8j!TVdwTmE9#NZrmVE@ z;%1sH>MfAw(L0~E$dOM5%RD~_DmA9}}v6d_}IbtuC` zJC}Z_Z}L8nK&n!jw1lV*%^%qR^8bt!v((*IK}Y2te23N55hLMW$T3eHGwxEPy=yY( z9020(+b1O=Gb#lTL049NgxyQ#XPR_bRdi0=E=^DNr}XTSHI0!yN5H#pqc0Q%+tm@a zG=y*?2f={!_WFzO$$%f8mz(`<9eyA14cnJhWq~XzBYsdKFZde+K@8N7xJ;`vdtkD) zFLQm&8@lvFE)37BV71`>)N+??4eIK=H$K?MoZkmT(#nlXTw^GB9Xs}(cp*M>b%}DM zLC%v8@HbxIH`VYg*@seQ{$F|j?E_~ug}=HhQBW8)>o`|+(Ga8Y^FuZtB`o%(7MX=e z|LmM$Hs80TAvVdG;swOY)N5!xzy?1li4$$w$qW@z`#8Xw?(73-(mWsUcy5JOVKIwO zUGKLsB3D*^?R3SMg{>l8V3{_>C-v8Mmqk5(BsSZ2eAgXpRGt!!Ny!gmZzl0zsxQl# zkx$IK0Wr|y3DANEJMtxv@qc`Ku(RrV((v|IpKne1Y@csm>**Tor0Oiz9npo0@qp`x z;G~h|3NrPHCfcKw4`{yKJy8EgnAQFyr=fJPkMmi+ybHy@SM$a6;Gt#1(m7&4;mRKc z6}~atEDC69%M%W>`y&g3D8kZool>3VT3&jhRf(s;eW}^^`D~~jZ#Z(pW?M5aqOEM( zo{;lJsPLDqE8^i7-aJ5<;aTT`bcMNlf|-BAaoFM8(+PPNH`J@q5GX0*zGln#ua3TP zg5q``o^OFF(<@tUuUs1~;yW2e4!rfjL>v^>j;;7ozX;uFBO8jX;isMox5uJ*z7=W9 ztLx5OoAlMiZ3iE;#ya{&M0)b#E1#j$CwB#}Q~QZ!@{#R#xbEDKZ=pWWmWS)s$O5lZ zQuY`fiqjB{jSp`%t3xyu)hrjK?6V~IHTsdlsVACe; z^n7R=Zt{lh_0n!pn=0`GbUc#1WLH=ze`{>*xY7J-qlJJ_sXNnNg>6P29$sI&aYIkr z_K24}4g6X~@PfWuwEh^$Vhv%V1t7kg0>`V5G zcZmwygrbY_NKSsD#u>Bm8@n!>EwZRWgG$^YzBEj$mX&sTd7eC_oa6hou6JecVuu|3 zTR2}tGYbjHi*v1!=rCp7Tc{b-E?_)jy%+hfjGzb{Pl~1~{avU*AL%AEc^O^F_$+8S z*f%lvJs=c7{&L+{=10Xpwfe@{NKH;}^^|a?lSZk}(?cHUm}QI@XoM-{*+}F=dQ~gF zmPLfKEqOQ##qSvm-f&DRAth_m&f6@4+ERb)<+oe9Jot;A{FxQ^k`T?Yl3B2I{4)Md zy@ySA4jbMfm3DWxb#ByDUUe3ez`8y4-**u1))RC2aXttBekT`Nx;gZ*WXFK%6Fl?~ zfGD`KM?Z+hJ4UyTlIcboo3n0g>m*g5nb3U*j4&LtAOh_QfKWtsdjX5?ci-j1&M#)+ zsuaJRTI-zQogV8-1-I6};K{oyd4I~ALC2^UljydD$8W=K(q<6J6hb*6AUOve; zY;v9GZ!OcvG6hf-zy~`F%+4B`=-eDuzumr$Bl6P2i$ijjVu(6Ux0oKcFWJRP)Ytk; z_3n;TT^+Loa4LGYNKH(Y!z~HEJiPn62SIYFzW}^6ZXb*vL~}5DLeQb0c~Lxz#fq>@ zV=>TAW{2HU$`_rf&U>|P`F*O>+6@PhwcR<|XVqH?7C@1eE-0WTjI(L6x7Y!5JlKC2 z*5OuJLp9N|y{}D}Fk%Nqn_>CbaDc9@OSw zbykAgJnP&!fdUQsqL9PR3o5JEuS?19WtKD2CQ;Sb%#MSO8>&?)+PXZx9I$@0+TFD! zR=zv(_8c3Z%U%>KsQe2ajoyNf#dZfaUb(-t0s@&iq=+KXL_uC-L<)f9n5%!+D!SNo zUcm3n_dh-!2Rh;?kMUJfjaqo7${y>y$q4T|b$ig3P~^Fz;y8}R4QeR3(K)fH5O1Y6 zcRVvHQhh9BRD%lzQcy1i>#j1ZTi+biakDHk+R*s!jNg+<@|6hs->W@;=%zO{C8sT; z5*a=m*bsycs*%}U^S~e>yj9*$(T@DSB!$V>U+bd952j}oK?8?CH0{wh{9Vgi6PVE4 zU}4mPT@+e!)zCz+vzf0^Y#WNfhMg=wlts4;D1)ctHcmvH-Qep20R$93^vl$2%AtAo z#`~q}~?ZqShQ& zLjcuZn4LlTiI}m>uHAU{L9LaKh!b%&RsPPVFMRvIIjvPxb5AdFkKy-*(s;jyBx<9j zP|Ai`QM{e`Q-zL~i;z!Fd)zfE{#Qc)d-3OMu=WNepf68Z@sK#@9Y<5s4$cbU?khNJ zX*MpbnuMsLU{FzB{_C}r-BXa#=7l8hI4@|d10Z0tXP&X2=cDH-;!|p9cUU%>C(#QotfrKM2uz1b!*WMJWSKxRuk_I8e3>4qkFZrY?c!kKu(q&)~+(V`0C~PLd81K zt%{bbbfUrC^Oj8{8R*^odTJHdf~xCBgP@A1)+^qCCWEiLr}}2lPBzV$z#irhQ!qF- z#Lz*D`&53sVK5>c_-lj&MEZj1O}uWa;^z%0232PkBh>AkH81}B(AGN6BZ&4K5NJ}H zifHb2Exu3}!GUrHdE8#AL~<~ZG4rE9HCcTrDq{39{b+waNgvcQNhkxdTDj{ts*9m2 z@;*ycwDDAy<;_iw(O>-jU^x8}Me$N(*^%f>POBrXY$0ZC%i6W^Hq|3pD0{@nXsXz^8$lu1U{fpm`QyteGX0fYsW0_y1EbB@_sv05{-6xinm8hl~3V#L1Ajs$) zzq5-^d|R@E=pLG2J~BySR4WTy$1Jex%)ZGN`%-m#{GOj&`NqG(SOfxrRu1`>{M$9{O?!aV1HLGYhtHME@$LkWqTdvQ%l%XG(nlvy6ARCiZEOY zq`z5FX@@UU@DF7o{(e5_uIa)K+|$sYegWQurpHXjhLjJx)rM!39sig+T7bzKfIvJZhfm0)mTTNcQ==AFL=XUE!<#TqrydTqhAx}M;^YU+!jYCCu*ewPMfH#)%a zS~wWDn_agsnZY7)J&23PbItMKe z0rPJ`PsU_SV)733BQA*Uldx)Q*dWY%>7$D!IR*r-QGCaqqSm_ywOM_j_8^A?uTGpL zw%sDb=d7`xBn_D2YU(pc$q~WiD-w)DTekmq`0YBS(kk3|FtbC+z8xdfBCb+eby&@2 zUdZi<(4{;O(#vj|1%?U+*RRBJ7#gSVXN}}ZNt&YN0~CZg zcJTHe-9XY=h5p7a9}^TR%jAmAHk;_wroR!>bK8>-d%YEj;-bVB07@2&tG^vMXrAXh zwZc>j?qynNEg|4$E_mv67g36nS;spieU?Xa?g!?L`VbPFT{E!XN(*wbL4$Y&rG?9T zwx30^)R9G&R-Kh868dMIiDYaU?X=D);iq;{t4`jbAAOv=0?;la`!g0*WFf_L!8p|d z+1ji*)$nb3>1wI+0Q7De2{WBgIeq3XzuNEa~8wbXagRQsIK zYFtKSb%>S}PnuDM2u5eo`P%`j%n?xcc1|`%l4L?jU}81zH3B&j=<#uugwjTa%@Cs&{X>1+#@i8XbF6yu?0P|9J{7Rp}C@_f+i>3xCRlM|AAJEDBvr!ap#O+InYi z7F0l|N~IJ%fA4YfxUWrxvCIRYAT_=Rm)G#dK8@!8;vYBv*_+yiV0WXyk6sP%UP9;v zzrOmN=h*hEhf|UnqEMvC2&vb|V&ST7?Q48A$Xm>G2_x|LF3|7<#!ufJTmz@1oU8iO zO35RIIgixkdtOV#E{0IRsnyZSeu6Pjh`{==W~0ZpX&0$K++J1S8S~!BQIr^`o>mVtRc( zG7TuI|HD?Abk|3YkZ`>2@hn|>NJMaIlDA(V*D$HIz)M%;uR2#@VP zBAFb=>j=(V9rM;ZbqLB|5VnZyqWMu)r&7A4;6!M*(24~KJ#w=u=emnw(@gv63&T%C zc@JoxTQ$c#{ab)$?@IPQIAuP1d`edLmM;@Uwv9G;Hpkg#j1>A9k|eHuZCR!>b9>^o zwYq=zdH*@OX^cKpsr`7%$GPR&h(LXr^xq4nyR}I()Ck{CC85Z)>mbf`|(;!5i6(f(E!1a(aUhIJ(^NYJ{R$mrl43WVic)F__^`rLM zT3l-Nywzg(DP>vg8TR_7^+pt+_E7Nlzf&ZI{0VbGnbR0exKIW7Wz`Wbw!iE0*-fA~ z*dR!~iOo{SI42h*+x9t<|0Y5QlPq=ngNfo>_viJ^BIQ%v`y|g^9QFD*e=RSK+WsMv zYs>xxyKD2`SI9yF4E6085)*h`eI#s%S`d-hU@rP&x*gliR~cCuco8vMvbD5H-zm)d znpROeAV7vkd#)$a0yow3OFD|%X4EFrD4GrzAmbUI(Rf$YIyf_V-I!ypzxZ`>tq~8L zC;dDA)@NIb^zEOPh#P~h*7U^OlP8ZN0=Uw-LGw-Ck2Jnverq56aXz!XQc-G36A(O@ zxqQg2NXwh-VpaC2rdCWm(bdF0qjegk>?p)EyL}4ZY|-vq^WXR(T0m=+VG9DBJYmzR zUD&o~$Vi^(x-t0}o&A5U+QrU!W-0Yv+cOVuht&6k%HBUw;@c3lOP9*P z|8h@GDU)-%Cnq+;kj=-Sy9Z4`H>SC#)>Y!BXoxE_DBN|V$WCPvvB_@Ho(RY$3GuNn zwq<|C-Tik_gQ(v7@JzKJoopQNwu92B?5XOCruqX`(UCtBi&jybYZn+aG2*31m&o4 zStDoTa_@tK8Qf4{t!hd;)CSb}Rf_~XdWN|hU0!hGURB~Q6wA#$Qk@{-$oolFb0j?z zAip42Z71oQCibopK2qGZqw%*YCYk?9V*0=J5;CVgH~jBg>dv(8M*koAU}43Yo$;i%bOB15tmL^FO`b9T?guDm%e(82OG)(PB{Gb zH61?ahqm%Ld7Fn~UsQU7frq2f)5d{xB^tUVI&@%|VWIe0q5QTBK~hlfYkck+{~&(r zbG;SBcDZL^yEgEDE_eVs^TPA~^Bjb!DSXoD;g#pyZw?!I{4;mZ>hc7kK#(x{VPsvV zd}4mK?=6SlomdM$jUZFX=lzoZBFBkSAa$=?L<3UyxxCY(5{1C1vYV^RvTC)xepl|~sTb4l1G<2*ea5-`u7`6^kKvEmypxR6Xp-_YGXB=&nYsBG zq#=uI9D@1k;Bfy|{?XE26cXTARm&&Rc$qM_>~>c2+WdMjmv`VsYbg!|+EwRAuQ5h! z&w2zwP2L7EyY?SKUFNHS#3xs+EoRy;CfM#GT5|95eKE*^64M&+yue&>)gn2T}DWF0@y z63KpYcXnrVINAnu&Vj`Pr~RCb-Rg}-FTGw}fr{~N z;F=OY1-p4o{s&fFF0s_M-c@nicWE2JE0&p#V5|t1@q&9|saKQ7*ho)b3}2!3P5mlp zW1CSa=*s!E#|kqzsvG8c%0h+W?}^#jz#J0y_$Qgx#XZ;>8E7nCr*^+&qUDm#c_;~@ zm>AGnT=zd*vt3$R-9!`T&l0rgnqNN>yvR56?P}xstPVE6!`+ri_Tmcz{gMNvVhdhY*p{ZQVyF({r zgI|)Vhcm~)G$Lip+BpDH*A2jmrr)xv4wr%;y1O5j6TjenZd_hYQ62-p{YS$JIYvtV z)Z?$jy8kN;HY5XW5tO7HRsG|cH=11=-+{TJ-^ka*?d6i%Al8?r5<$qsd9S1ffL3`; zjY3U$J?cU)qJbfh7O6i9#G@8w!nFrj7G;4MY$TNj&f~@lFTGkY6X|!=f!xo?;BjG7 z;Q&bTsb+6iM3&5Lb!rCd*3a%D!8kY(bc**fTrMUl%RJp$ZA5;6c`^LJ3t~CDO5g`t zUk(d-&t(QoD2!Y7``3cyA;No2k5Yx6iusLyDLL)}}wnoA@094v|p9R9qkS1W6R%{i7->h1}2q zEohEZR`hm+?jtK`-+`h7bOJ9Gw2+d@;^e@OixHrdSxH&Xw77;{r|AfR9wV70>{L(c zk`gts8w}MN=tGe4C%*MuhGn}K-hOz^BI}PA(@PWE8hbA14HyJJKD;~Bvz+QDc~c~f zZsU9HrU}sX(|U9`{KCtz>e}sUvh7|kCcn=w;Rj2$!dJt*zWaXEq1-wY-ZOfV*D!A9 zDhq-{&qR&-ud~-f+T#B)01jTw8-y!n*>FuHa-5IY?*lCiec7+7`g#SIJP;R{K67-5 z37gfS^K4JI{NqVaQNUh*Gh2)}c%;+^IvXX9o1PnjKQ#*(Aw9bC?PrHu-G zBhig`E3vW9s?y4(2}oyv05asDaPnnv9m6LaP%ODup}nd+6fEdG2`l@70%!f#wa4G4 zRJ`jVU&RRO+&zsZPw{%o2mE{F$9Kk!HeC*sPcJSsBc4Ct-yWE~A;rXDM>J2t>3z9}9DdMi8snXAvlh{1krV%zi~s0Ge(<^Ek|U)ZiL?aN%YXKh3W$FM5* zu6$X9ZgcO!wc~h$$TC{V@U77=sNHYd1wrwoA!37aZgun#r~JD<5>?#&)i=L%xsfX~ zxO>&jtCvVLNNG-sg(hAam|E(y#~&F+*V8~ z7i7NE7oJ873f5F7cBy}waTme=agtg)F1m^wdW@)6CINuL5W6EX`Uyj%r93pIq*?W_W zWQLR(viIH`2_fXp$fjYh?0t?<_Rikp*eiQK*HORc_dM4h_g%fp_Zpw^{%i?eu4(hE z^=ug|4n+q4D?-XZnOTckQs_@>Zu&m)%H-Ii?RRmLlI?Vm=VTv;Mn!65%6ZC^q6PUw zg6wlwx9_P+vPxL1<^joqXZJ2%NePL<%|s{7iBeZ!IBY=kEZn=lxSj;nntS)?ruf2CTh!;`ITEY3U^;?12 zlbzqw#hk_Pnxhs$7u>g?bT)|c*9!*!fpn>>)Kby!zcgtj^EDF<=c*jHl?#Ka&JC`> zU?Quq$QChzOY9~*NqxMoS{60xykpgy!y*$W)-E<+lw_k{--25aX!Z!4sRW{IZW!77 znr1XphMU4HArjxPpm6mZP!%`6{uQ9JVz)xP{evInG_}%Hc^CD8`ed+#x;<3~Z=0sQ zubOo$>_O8$#%DvPK5r5R_5%Kcf0cV(}*691bvzNA>x2{%( zH`jo0t|x;OvSKthq&*?m>GoI}Y78DEYo}*$;mg4YrhRoIS!Ba^j1#115h-C8F1jlw z-i7^Ye^1&Yuj-GbVzq`ovew%@&1F`n*q!&vv@=-c+cF~?*?-MeTJgPMR_690ECI;_ z%AR~!z+>N?)^57{q3ADh2~<2g9JeO56Hc}=ZxW>KRzNVLpb1_2AtOSxXL7v;xaPx9XezE?>2Aq}XS~ zKF$pYVb&3DcEM1#w|rYwRN7(Q_*k@837UQaqMUsFlFxr5cXk)`vTzK!ytu_(?f2yQ zP+zUc-9=mcpbMxK!srKe7SO=qb&L$Md{U9F({F|Y;evrPX4N)(1Y06ABv>fdBML+W zMR<&W0xb3$knHHw{JL(V3|g*wmDsH$65ul`>eM5q4<1XJ`!(|KX2;o-rz;M}Y58_6k?Qg5&dVPb2|;(P!=l^(&FfK?1RP z!Vjb{z;>okS{t$O##|JYXtM*5*{sA`+{N&eVH~%GS@kmrGE|MJP9w~=TVdyhv`QB@ z{`2!BlJkb3+HcO@p`RtmKb4?S4E?u(iAsDvXJ2k!qV+#~D$w-j0G=%Mq#*q&AMXJK zaa9d%Xzfz!9rbFNV}O8X4(bJAzp%PpuO!Jpb~_Eo`>R)ID4ki-QDfnZqU>=K2Ce&` zp?Fre0Qd~3oL3EBO2x#0nG1gO8$;VkJY~a%q$Op)_9Id|m1|Oc;h`k(UO7r&bwHD@ z960=T&ACQ}x2{@>hx0ko1FX*ecwK-@^4V>c4z@SxzLyEKOqZN+34O1IN9P|~=oe{+ zrse+xfR^!lia}_pgJM(f-+FTG!aM&v2-Wdg)~LGu%aNfcs911Bxwx#VZa=K29{=#U zO#oRO`{K-4+q91L~{EFyGlA+^;ZX`{)$nPbt?Wut=oB8`xhIQjTd_~LIvw%)J#@9LDAL4rCPo3iTieb%S=PCSv211 zA_I=_gQ6O)r*DYX1;At`K{&y%{__bvuf2&D!3sWpVo)Yo7axrxmLn_BlML26hf&@A zXAhp>ktIwBvb~qzBozFyDP5~Kkci!dJglS@r}QLWm{%z1-qpGP{Q@zvjZM~z zy#@nYdGnp$RF+g+D|X~WAh03wJP&*wdjE9B8G;nw;dM>i`@ZGTpv{Q`OIB(C(kuwq zyL7sX;D~p)?Cw^}-F@HQQ6RgdLve)X2?mV$No}Ndcy?%j20-(=8_L|MXg%{|q;jTu z#d&V7;0GCmVBHe`(RO|_nYlE`;<+{G zUu)A)V=SdY0#ZoF;|HouMDR1GN29DWq<_RddHX|6W*w~{odDu<(p_H_v>!ynYn;;e za=`2SQ|;1oI#ZV3i_LiBiFdGArji5S75Z^uqKmMPo+_;avPSq|8%eVe97dGBf*=|R zyZT9cc&V}-qtulIHU_MS1rE@s(`GO5RUpc~1;$=&< zGA7V^Q=$henV{FUd^l!CY&N#+$SKYaDXH&xzLuFg4~ipEdgE_?HH82AfA1&d0981T zE*%|9L#t!@@5g>b11V7}k7mA5Mvw9ZR&tcJ*yBO<6aB6Gk z?cm2@b^X&JZj?@vHgd(ofMHL^&-DoTulp+8{&WeU!EC?)j*0M6?hmDdfXNZ=Al8nR{3wU7bj7kTnNTMxy-A1 z$82ecHbxrjsWXpRE!yIXnalOwr&+g_B?bO4dQpGK$Uxx-p!e@d!X|9}xxmmRb3cgH zGL}=|%iCK}QDSbM*cc}C@g8{kNg+RauY#;LQ0{Vlq@~+f$pAC#sG3#?xj*_UQ)R6- znlX)u;5Y9WG8c{S^pBxqXI1R>a3#gu(#yt>NdghfBR$gMGGFcR>vsp=#jQPriV!IT zq6`2<9Mle-leyUits41VPH3!d!&Bp({YydmVexT(SL#nAyG!nX;Kyx5@Nk`XQnr`L zm!OPkD1J~+Sl`8^qGh=Y@%5@(>b#j_QQ^n*+{Qhf)4kjSwbb?fM(4}Odo+J4()l7w zvq!P^gwAFQ_wLTe)|5fBGGNA_Vb{dI(Idji#L6ZDLI}o74?00KR|p+Se{Iqn5NJ85 z0=N0-W^hd zE@-*jJF zkx9DwI*E70XDtI6)ulGE00geo9?b}wt_Lmu5*ceE`$|ku5-&6OGaVhm^&b|$eZUMj zzUYtF2c9k62da*f^=fh^A4M`bKNoSCZ8Or6i^s z0pkoaRj%0Y!CJ6y>FHhmth3y39C5j?{;?r~cWkcZny#%qWqF+YklkiKew?S*&)I@j zV3vL80D*x~!b7;pD2Ly-hlx)Y^yRYzg}PU7?`!d5S#h?FAFlmy>cV+?pAr=FuGOG+ z**A@3grmC%T5e;&-t6}qKNO01^Ck8^P6H1PfqSTTMEmp)z8s;)3$IQ6RKa+3$io*t zqrpC;-cs!rcy2}IUq%(>^A+`jb{=*k5ukGq;A9JkGpU* z#e@|A1()5iL1C*|nUS;=GSHh6qUbz2yO1ctyR`QguIQQTXsSx?41y<0>2F)^Rb?NR z*4%elI7!B(N!q$t+hO77wp^}}37X2BHYu&z>0>eVBmBh{6bw99H}DNedH{W@19mN7 zyNiyn;fPdpvU!H|G!B(|;vnK;bh7E@V?$$4??O3r06z)N$(*1<18CFrDf%O3Ea&hK zNJxEhI-)^J=GOY@_Vl$bK?%qrH{Kdax(ve_NL?vNU;F12{E$(=V(YsW;;`}~{Nh#j z0X(d@D41h0-ZenqhA*2D7xc@gn5`q56L zhHa6HyKxV^(?3XddZN>z+jAs2zc8TjsJY>b;nm{a3=b2?W4{o8L4Rxw5bo~_ehUX1 z3!@QQ(W4YwbXYqfi{K<0p|=MPVPadLl<_ObM`Uwp$R@PzXghz` z`#DQIN7FUbbGSffmT}~FY|KfUjLO}Q>0Z(Kv|;4koK=(4;x8>`{4fk3p;4gTAL6Y0 z^9Q*k?{#61mJy3xllPu#i{iUjglgjZZ`~;b=^v|pR@W@Q#=uu`7yeE{pi{i392PVLQRw$SAlez(A%KWSYA`w)hd2W@W& z;tuh;SU6wzG*M%iNw@`fd6@Y#OXQT5Z%JBqyjDsw`XEAun{-fp+CP^{Zh-N1f8#0GGgX9+zAuJMM1?{5gSQ}f!R^fpsBiqbb6Q9hE>ir+16)Y>#)cxCuI zAn>2wojszzOolreq`Z@286G=xTw@6{*e<-Qr^Xz!_c0}xu3C2g$3hzDQAPLh&kKyx zK~fiOX@ac+8Ma7ABkvy}o+jfh?<@cAL7JsVqUUV+PfyVWF({LcrmZ&Z6SM4lCF_*1 z9bC46<@$pPz1gV)Wu78@V;w`vXsqmAEOU6y*hgY<1bu?W{31hXc@{3_805kVdxoN}G+hN%IejPENT>l@!z} z(4&v+=^P4rMQOi$hE(0jwb<_P+5ydZQRlh-j!Stms){B%nJ|{OW2&5RnbkN%>Cis# zMD(?qAR20J82<_Qn1f~=e!Z=cG3dvmVu2Tq8xQK1?w$og#TAJe61>2{pe((|<{0m4 zs;){svZ4KvwtzRk@Gq>AX4-A8ZusSbI?u^!76!t`ZNRKjkdGSw7aImh0`rF(3ixu! zb&y2;@g`wtKKS2>bcTD;_I!v@d9CD3Aa`53hTPnFEz12&%JQ_y0!I`P2m%9$7D}By z>x94{kNSi#Y9N6XPKd#OyWcF|zJ@}t1EiC(`4F|`C5g$^flW~8J#BsjNNXm~7fTDo;^V|2P)SYNm5@OY4&ZZt3@;{B9_z$k~ z_q!PuK59oOP~FU_K0FiEqO(qxMku+jYEF>Q?R3`m;O^6gGy9IDjn`k+)PP6{ByDkBfCTXu2TKRGqaUfP<)} zw2*gM_FI!Nfl=z~xSDOfFTnB9MjrerYyZ*x`Z4?8crBRrD)k;PL-Vw(0u0Z;U2)Rm zb;Ijoi?I9ePF57K48r&*UlR32xBs+Cy_N_vafP4GnN1ZPG_`L)u!^!J*=Q~_SlAM| z8-FR9?KSl%BRR2I+XmzNyOZdudG*HgWzrjJ?F}Q#47;vx0CDx*!$Xhov+fsZO^MSB zBavl>nZwabI))YW<@%f$UU?F^_;5&kzJzHLX*%|UhYGSzBpThhC_ag8t%@iv7YpP! z!!(qO$@YjcmjB(Kar+(<2zt(Uh80O{0ITTJL`|zdNi|3hoR;4tst-k@f*s%aJ|?O) zfj2!MV=z{nAx3DGV~P7ot|!%5X|dL8H=R}^iu3Q|tc)1*!Mg8WHW;@;K1d9~6yB?L zpvTY726I^<1jRU(8@zh==!Dz*{Y;j73FKMQ{c_zBLrjSsLWtcQ^>#YE`7RV>Mmd%l z5p$yBz<3sg_C8h7piz7RyU0$7tiYf6z&%y3>-*yBEHQO+kT2kJVvX)XWOt%9vZ8zG zA#>4k{owSSLe048`0oAf3vr2Nh9}8zm16Qo?Orm?#`qRBF>cu>R%=QkIgpGt7my4LIfo4@{lUvuaVQp&=a+RCw}TC)v4Wqj(1Kft5TYSsr?PF>Jm2&_U8*`3v|tlrvA}nLq4}T zhIC*!hT!>1`#WRd5c;T?ae+LB)i#M=Yje8wmEKe=tiatH%dW%Psv}C{4t`CE39)iN zljZu!*tTp=rq?J^hkmjpV)}UHCgnWw>yE%*ODP}qQmT%A>WfelGgMES&fBA|I+L?%%RyNvu=+l;tmw=2$u7q1S))?xo zL(Ng6R1h|uGy^XhOSZmv=I_nt17l>YWgeHg&a~#!G4@RZ!*E^YvGx2TnZdE+BjZaC z$!3$vhV;;ZhfJWW&E*5#=q!C#|6(sIoy6E$NDJ!2`T80la7^{zTn<}P&X!j3LN z%OK(KggwAqD=9fz(}I)P!`Wu|N09|?<$)-Md68@g4-lpAd+bpqX6+XERUZQ?v3RdQ z6TQBrivht@Z;p#F^}q-qGt%Ys+U%^-Z-oIBpGeovMVQQY!LB4O%HSHSkp^7c%lW?1 z_?fjwKizWf86YB6JUkW@iQbl#oY-BqwCaRPDZd{qJ2B=OI~r9UMIvpH(k7QJ%TIc| zkIW~|pDazbm(bX;UU*3ESyakJq;FrGoot7(N;t)obnj<}KL4Eh##eGujQqNwJ3)RQ#ux2twc)ay?s1+SOvG`wJgt&(Kzv;L3c~e%-4F))Xa1TF|e!U_# zI`kp;*u3J?N6m1mnhJ`N%r6%Fhy`rRFP#$hgpofbd0P|3w;btGQXKYJI2%RJjTyX> zX=(22GN+bwcaL=iww#Cc`rt{OZ+hcr3R`?_DF3Ee_bCk&TUz2UJ?9s?=NwV|<~{Qd z3meBI%{}sh9{+!ZTX+5>W1bI+vOzxll&}d_dv&>#!!I|({%mPMN;0h2H-QQ%Go+H6 zssG)2k6wF5W^h2i7Z6eS&bB!(HS}pdP?Hvyx#%j*U}(N7c~I!8XF26^O1akr>1NWC z#p1I5C!kKqqUrM?^A^WW$GzF}xT0+G(1LYZWvcrQ&qnrZ>l)bz=YWwk+|Z7mjwQjaH1; z>*wOrMf{u9b`5HF4j&Hu;WOQ_UD;~s0kp^fp#*iuuLAc0!DS|~peadhZu ztrBUP=2tTju^_Lm(om6@aPSmUGq}X}8WUKPaqdXg>le2lV%&)t40h2PdC<_5GeM>> z|HgYezdLnct3tSr=J+nJ`SlIJd~S<-UM$ZiK^@A4uWUH_g5)7+_%I3KZc$RDgguc` z5hYlH;&Oxp?rDSd>DxywgwT$l2+1sWv=jreGw?DiSHQVpjpAe{>AKsU5x)%$yZ>$e z*3&j4he0$di1(tffW_Z@8POm@K4Z`6wY?m+lwvSjc6qoS0oT6xQ*tpe6P2fGvitbdd$kFA6->0k8-jYv^X<%eV)$~Et`eqXHyi3<(+w8!wgGk8H zMQ(&os#-H9pjE}+y5XE!lG4)2>yt1Znj<_V@Xn#R;uUv5+CBn*6&!xjSBj5iH;ji= za9J%tSnT@f8UnpF5|`EcXo)VPM*6Kt+w7u(5kB#iAvy2M<+sgvdtJrDdy@`Mc_~{I z_qPJ?n;Qb+QS|M3soK*kR26aO&{=r-)pLTsG%xKNW)YB^MjAnjBRTpEm!f@$VY!J3 zv0$I0tv%`ZJbQDE&`7$0gUL~8%A5Urx!2&1*hkm?xz4K1;p8;q)VyZuX&aeF5p!7+ z5uY%A^JcczCj{Ekyl&-2hCKq3C>GE`)1F2cHoEAM&&@B*)EMD1Fg1}u(p*K8ROH)a zx41Eg15a7!Y>|sI1-Dc*9>P~O#?B+Zo(1@FGbL)~J-l+1!&;Zvc){0ivy5zUBg&2@ z8tt>>K;-lsvZc%v?v*uI{jzPEC_dZMG$(BTy={+4y2J3GeM|c48Ywb;$UB-M{+eGr~xVX6Ik3LFhO$I+)CHWzEvyeo6J|;luJIB z=KNyRXu5$hC69Rd+vQm4UfVd|-kR-r5qzTlQqYASPBdt5mymxi)e41zpcYpbbqNVI zl6DN}JqOFQPh~=_aU0+tLldXC-B}gnL7q#N*2~MeaNOZ!!yicaYS&^DP6vOT{(MYEK`LWC@bPqp8Dz#K0 zjp^zEr7)jE(G#4WC-!{NP%*UzIpY(6f3DZ0?FFp&69Hmxz>XXVny(y6Le#uJZ|Ya& zfGIBoUzDS*kilDQMh&s^H!uWk8KNDAhzZzY@E@(lb4X zkQ3sG944!2+m9RnltK~M^xB=Cbli~BPm^4_kF@gc+viO=xUfF za|+RB8O`i+*~iOB)T&v6lDv8{y&Z4MDxvA*G5gZ-<*5pHDTr@vP{yG7)hFC@ena(qTwx z$*@n9y7K!Z6aoKqA7u>E1ngaHxJ7o-(j;&SaBPk4J1banShJmmhIfgUWt;IK@qL=_h$OW)hJfZSmCqzg#TQf<`P6Vdxw5lQQ|57H*c5cV8Xp8f{3fevuVi%7742+BrOeU_0WQ@x{Rr| zKwCw~ZJ#%77xI^B?81b_6s0@?J$Lan z{1a+pG;bsx63#Xxi*OJgi;cLoil&~_R0$1tdV62S?o;+=IjZ&4{yEZmNrPNO#JQoR zd}hpJPx%Ns3&MsYC(|gwW77#6<3r?3l(ou6x%Sul0DUWyi}M{MiO-kg_ra8&0V53k zuf$ChstuN+=_frO5sDIVI%Dz1&I?YA_jDmd=KNg84MjQ+csG7@J$Y6++c8j%#Gvc_ zZQ{ph%{K&I1(iL3h(EG|>5jPzf4`6sa{wGF=H*wFYWRpixpd7{&K%^-S^+NaYBmw) zvv;rXvpfDUVj1}+msArU`?dL6cuGu^2NW-Q{j)R>3#t-jH$Ha=5SH(WJ=~+>S?t== z)1AV&>~Y&9AWu?lo)!n4GkeU_FYFT4jCyN?%nBb86<@J0OHRj$Pj)uA`llJ7YzH07 z87zEL|3^OVh>&R1Hh*&|^~*i_JS2xq85IDex; z@smerOxmqanobyq<=4SE>*W!Tu+}(CGS#Vow@J&j^41PreLeuWU}22bPh7PDi2*f* zSwNPHN~Yq!|1o<@?2OB+xlaV%7r@?EWrpAC++I95I;xV4xj?3vD|X$4+-~}18nu3( zKQBE>gO&X%5sX3ps$#ktGWf9Pw^`8m3=bOOg-=`aXE+PCXsO|+M{n|bn!?FM3ZwqX27`65Qx?{C5T->BJ^a7PBI{>Nn4BvtV z?Y|$2B2gRueL%Gftk!<9=m|O%pKSgV%AJe@PQ9Z@l(0EhZ#g)##f6xIE7takF-Qm3 zQyq{9KFXbUGN?BK5_V9FJFg)-@G6$0rw$k4mMCGbyufoGdG5C~gy~a``v&xBTh*w` zuy1^wxsd642dfv+RoOpSm3?aOXpIGVleqWs^4^qWIa-!Ijd|?5x9`zF53;J}{t!T~ zHirre&l9J37W|_`)65VkohH2aA1Z1L)-fA(S(B{7?B^6TDr73|y~b4gQEWwZ{#k~8 zuF2IjQu1tlh4m1(v`;fTR_k7e(+hUw&IM&FG0G8@Wdo;5Advo+*I?>g5;V>Mnzd@Z z*Jp+qsdjGD_2~0hT{GkYU-){Y;eu?uo2JUheFM~uaEP98=7ZbXWpF=3_}xk&+CT^Va|qwDzi)?=(Y`c#Lo@w01}bc@+5G(v5iny z7cw)eTLZ7dy)4ln=|lxiOnJ)6Ya|-796}Le^`l7>SZmOGmA4qua(g3=$YKSKJgOu5 zzhL#%{p5>-i#^3>umrIQ2AMO^*-h@_y>8g-XMa2mI9uqjYFw1O9Gi3TsmM(f*tgBB zG%GgV&pKhI<`nD^%tAeXh5&}w;Zt=XkAUaCSIc~LhcA6UO`N&&_+5HjdRv%;G&mex zaw0?3f#w=gBHvsx-u60sdUZZoeOb9xt6R)uVbHKGKzI8)@O@$~Gegnb*P3f_qRxGo z>2FlIkHqddz46}5Y2;&5L5N6rVph7aH^1C6=1UwAN`|Ixg^bX>dC-6Yd zq#`r%WmFYuQs3Wp6&Gb2XC|Z`4C+_|Es!;xuA;o^Vev`b-^_ZuWU@}~Ls~#_c~L-| zf81$DZO4Yds^a^M8j*lg9g95x{tvv5vSOEv{RiVKN*n5rCQ`&xvZYdW%z%c2W^t>2 z!06+qlm^P~bCaqt1Y&02fY^2Gsp2d#7M=rSf?E3~#oBhY-R)8YnwTGA2k)zviR3)e zcoT7Ir#J!{u9VgOe(oRb=0Ul7@gb(t406YTN{|O7G-2yB30q#`)h93l!uudkdI|G0 zg9HS_LL)^)17~BCa2(oART7Aw7hY{B-mqD&4Hyfx>Idt+o?JFJ2CNrRWQeldg=n&a zo>DZ|KcvM@+*G+s65(WoT1EJ@nysZ%*L zS5J-_IUdxQt+TtBS)ITO<0jTu%|z1SDb&44k7K2?m!Tr|3Hvg4K(dkO}EGsBb9l=|)7t;uhmyR*^Qq>YW9y zQAk~WLby88T+}f}6z}JrRt=36J`CKYrV-UBcym}X@U4?q-Xj?g9_TM202m&k2+05d z279no#oXHhh@M&PNkyCtHc&Npz3@$~iIcCW`+#L(%Ks8J;c0=*`OKoplZI`C(XByr zpwf2D2ICARWm4SsHoIHbYAGt4Q1t4+Oo$0pGaMJfg#m9Zl1-ZW$0fYnLa{ppk=3yN z1MW>J*2Xqn*t0wwNe?|q?g_F{LavXShmYSA6Ndx0F9Oswd5+}cN!kVhPXbtUGsuj> zufYvsxU!;RkZc5L-VnH}9YLRw1tBBGy8Hj!P-{Jhcb@?`o$ZH^`|Ts_Y={m~H0N+N zufKpZy5E7g(?FRtAv=CMYNrcMC)iM5Y_ip4uZDtH1R+yCwXFqCB+xkF6RVI`xyMak zPb>W@NoS^OH!|40O1F)g8^?>kKi`ck)UJ<(<=fsnRIgk|l0n-zL9`m*4WZHjlf85xw7|}$A zx+B-e)#%c4K0=O!4jVZjGp1X^P1^7SpM`GEx9%3aN7%4k?yscTDC?ABy$5lpz6#Ll2R|gDamFF; zdromOO;oiq21L=j(9aA>M`LOnIm(jSS9&=A#ri`_x)cyiChqmKZ#k_+27x0??qagn zdMY`|zmYXmcpKp#tf=wEXY$t6)E!wuzMdv-s{i^%1g|g8`Q7eeOFhdTNUqWP@!p&O zLg;tF?n1NX_6ca)#@8Cta;@Xr_v|XvQGkg$c>dDxw8jvCEXa*a$Y@6i^y7Xu``L(o zt%%hv;nj_AN>nc;irl{zr~XFC!r9N3{UC(rw__fIqO%Z|Q9xCmW&7Hh*JPIwtZT|q zUHXq^j|X}W0INX|jCRFJk@yd8fVBUqylnZ(IT%&d}zB^j$5?fD;lOmvC~`J8VMl zhlzJBSwVsZi#))YFsd8%E|^`P#f(ZGQkBrZ%0h!mn7eG2w@XpSpI+DM(!4`=GoQCT zC*n07mVc;9;U$9*N0G-srz>d3gjN%PhmcF;%J>G?Enlzm#M*Qdd=>5TcMrE&>zaTW z)O>E0?#=!BbRmym(=*_NGqFo{P_bVd(zTJVKwQ%3oI7JSvrVu;$$s;#NGv0)bbU8X9uS+;EJxl(pLx%4OU2KO;UmX03IdW#S&>^I=q4d-9MGJrWfT`AzF<77o%k^_g2bNN8T$@S6k-v5v`|TRG z(SC!D@BRA(1PyB*|6URH$zP}X4Xz?9D`Vjqdfy26r#FlK9Nu=ds!dD;1{?2P$UAcw z8@r@2-iqgy>=zk2*sq(Ru!Nl`BItKF#;TW`i_81MH{j*Lf`xaaU0i(R8=Uss2ESDw zktlpRQE2v+d|G}yUd7Mul~FD*Q*SpJvRWL;t^1)wC#)*$PRt>g<&CuHN2aVxK0|}S z{I%Ux8;W(aKLv#xSH2e)Wmq$%+k??6+Yva%dl%Ca;e^vjA33Q7OYx1}-AY`{9&*iXcSC z0l&24Vfn~b>Rd;fW`e+erFrnN8To=x`#Ctwy~NNaANt*~RjmBKTm#W)0C`ziBTc*) z-_)Ch2|OyQ2JLs=CS-d5W+^OAC1bD1B*lQZvFV@lx7L}iwN`Xs;Gy`WKAvvpv;6mR z(Ce#dNoP3k0G-mRxeUn2#pBD7X`SqN5rPTz^}8TQ=1R}vJe|BePgaHJ{`at!_pgj6 zcRvv%bFA@~VazM?Kg5PI#5NgfHMvsn)F%omKl~>sWxok(nE>sQQQN?L6OINAWEIUL zY47lfe=OZYem7ERk9tB!0I8=EuQS|jV_Q!f&VM)zBiPYRUJ&v%FE-(jWH~P^e<~=Q zq)7~^R6CKj>(0j)eAEcK2;IU3Bm?bLb zFX^}IMgRRn?*?*WzeaZe?Z2X`ZV1*JU^>-cWAQ&`%Z}g`P0ySN!}ViYhvMq6J_fFp z+M(jQc;gT>3Uk>I66@%vuDUuhO9kDLX!$P0Df-^wdJG5Zwh?EsQjGNj zw&c(!J@}6iS2A{c;inc}eY#WL)(%z{Bmaq9DHb{?{AJyop`sa`bje>&UhC$Z--_RX&-qUWpnUDoW@{fW`X1Zs*6G;lhhf;zuw07)>BQ1(hpQBW{ps6KM)%iR{>XDEDr*D513~;TzlzPqy{8zlcaZ~Pej-7dIH_vZRw=~>EUOnr~RRulG z$}yq(6vrGyP@*8>(tGWZRS6z{s`!tcL)BxIi1YKy(bJzJ<6JQqLn_kJJsc4K=kUK$ z2qttUWRc~TT(f;tCvrm^+-?ic_VMLVoUQrUxUuLkt-0(WK0HvRT>_#Q;1Yk{Db>l@ zHnffRLDT4aB6(&MXusvF87pk4FEM>*YTKh*kB8-~fgKHY)K*+f?o#A1zv*Xqf$}5^~?F?n%e4xq@GdDnY7x3I?KHB(d{r<1|Ey7 zhTnEHK6{bllhb9$yA?Il2b3dq#mdOuk-Dr`2D@ChfLw5J^dzmzKJHCky_B>~8)%5Y z)mrvNmu4h)Q2)!95ZY2zM^BPNG5zKK%fUOKvfHh&_T)eM4{F6Ig2{6%o)@c&Z$1fK z6|njrVd(xT`BA2G9HtZbb&$hm?boj{tdp(!AYH$c(A4O1yg(GOjLNSq6`nHUOCHP{ zI|-m90cnqUPnZzvW6foe=K(#2A#Fm;A`8XJnpwTAIBKm=&6kzmJ=AyGUmFNKU>b@==`3EcVc4^781Tqf!|J>V}e3X|z?9c8JonH2uoSqYQErbD~ z9gIUu=nXo+J0Rt+{S%nG+Xr$haH49BbccbW%rvgsh*y|+|9GakY9Yd>m!SFUK46WM4 zKdIKUY26w7oeRyUXQl62vd*}j{=;=`GP?&=k$|vj6$!x3KqC@gQTKcw^EC61?!Azl zt({3+Jd;XK{n%T7^m#u8kz#^Q9_DE*9=arI;6u3QJ<3g0YH>_ptF(m%V&#+G$p^Ox zP$F2LM@};>sG5RFN{cur`*0-o5tlyZZVI`-$$A~&P zIlAtqW19dSzzz?{Gui&qR{a=IH{@can2N_0xv6lHi!u?4W)QON3bBJ`vDqnCbev99 z^zn!W%htH5c;Bo0+(+r1SNMasB6FKbG=w08+jwNX*TfzNB_+qDN&o;N>GQ-Iw(Sym zMl`k4Z=?2KjNF&Ecf14uz~9G|HT++r%vn2>t|>q2Bgu$weR>ckNMHyLm1Vc7R-}L9 zugwK-c6}}Nzo3oc=h2y)1=*dXJK+aApdzk*(wmPN@67ScJzJZq~0u}o1d^vU%)fc z(r&#_=Z9X&ED4Lt(&^J50rTP(X!wtiW0V_;nA`8MA6I;d2B|-kVkMO%`*ehLWvetx zfEyBEuc25`9K@+C=T_Y1uHm5;#t%N};Lt)2<;*v+YC-saKN|gjx(scWCM>JU#|7Oc z0{!!E!jx}Ah}11MC$s(q?x{S&GJ2od355DhLKO8MPx@PAS&55BYFw8(UCg7Ou&a^fEU+8L^|0jaG@;MTu>^vZN z?tkx>R4T6GU1s@IY}@0D35VVv5JZB1i>avj5j_KhxG%+T&BO8#-{tP3*AZD_C)ove zel45#u0leJ??med5nV*4nBl z>?E9ay2Ln(-QHKcVD1~5^UEx9px%t6HeCepO*iLYzf$90pb-}FC;j4H^jOJA^`?F} zWIwmj0_jr!G)zXDt;o|VupWq7xj4kF0fu;_E#c_Spy@I=tCmnSSub|z7H}0IB*GmQ zYcZ64Bfbp9G4GqO7s}Ko*wOPiH(!LIeRg7pGCq5adM&MPwys&hDE_6wc!R@&X7em6 z)^v0nHJL^}Wb4MkVqC|6$$Dee9z&K%7;w_HgF~mWPt^nwLfec&kIzkB6#Fu?%LY7X z?aWQ)hB6og1cdqu-q76{5vYjjvP#qu&BC;=eCaI3cxSphhU({p^6W!;QAkKwZ%V%) z?Qso)rl0Hj&h=xjxQhU>d+Y_S^QviQs|xq1mOSCR2fYw3p#FvTFmyWxUPrLO*#wSD zPx!F!V6(d!xSjDQ0BAO!dSaH%^V{V9swUhmET%;0k!<#_n_vQ(e-0z-ylRwCS}8C} z{P;!3>8l$aiK@_U(6o6kf?PIY2u4Tqp3fi*!$%*z`NM5H)K;oBFPp1T_VXVMSd?WJ z28hUUr&Yz-O#P6*Wf%SUDG|utJfJEtM_s=gc{8Zn6C<<1ioJ1uI+gROQBQK&)Zx1* zB>squ`YnZ9Q%t)iDCBWHE)?VB;-g(J8sH zC^!ItiZ#{}a1~YOuyx&(C;Wae6`#Uj2qwXZ74NVTbww~S8a0UlNnUNvVdZ?zxMhrb zibbl~B4n!y1szUO(vfKGb7G%PN9ab6K}FW}6| zk2$!#ZT_{FgfNAT$ia--e*lG^i3aOV)K~@<73BK5xPlnM)T+uG*BhVHEzjLl^pGWd ztK^u|0uq|l_77;VKyDoc@H*2Cnzs!-<&RS}Ha}f(Kn6M2@^Fahz7~VtE)72bJt%7I zB{>aR`3whvT}Y)Ie3bgl(so(eySepzTPZBtSgk4e}F#T`oQBT26gj5;L?Oy zxPYKkS3-^(o_dCTf~@Le2r4o6gjs&xjImrrgVGKz{HH8~*YnZ)}x(X#7g38$HQQn}|*EABfzo>AwHu z$#WN=nxQk)haJn#lbykbtJiV#b*efu-EQfvXhkSJUxk5#XDIwX?_Qkn#d>{1}_}pz4?YOUY8%V&+)<10mV`lrB@>2=Gmdh1CX)w1XU? zCU;OeaivH6Q;NcWLJD!k;d5xSOaK2Spq5M$jv%XDOBEi}y?fGQNi}YH*KeY@55Y!; zV|#pZ(Bis#I<&+A;x>T`)E@tFb@UKCbub z1%3kTm6W6~^w|b=USOdm111x<#LPQRl@6zBSFy85eMhHq_xgjG(|DIV%^0p#f&HY^ z91;M9zzOHmRk2)i`v-BIKx@Rb$6s%Yyz2;~GDt9pO%KEhRa*Rl2f>CP2Z=A8T|5^# zN8U>q(Pakn+TNW1pi)U*t|CWb;H%xokk&+3q@&~EzTU!Q7GN_X%0OLC!ik+-UlQJ& z>P%d@n_DDb3$UKZ-<{f3_{Z@Gs&`F4hh05aXI`-z7<~h7nUUa35*qi#sPmu2^RwcD4!tLP;A4O$ygao(ez+&(p}LywIo%b2-M7 zyUx}|ZNTLaev_GPcz(4x*UZ`svuTs;S@4lXDiOOG>TnE>I6zW?|AQRZpr6(t4%BVx zP(3KY)Dve5ucdO%sKW#;IYHxBxy}#Ul`)b8K$4d1;C(nfq1xHi= z08r-!bs$hrYtVuY6>Q2W7=Ou1S?M>JjG)}SNL~nlrjZWjyW8IL7Q<(UCiACNd#mX$ zyp0iG^7g4I(|LjD&U#eK zy5KW7W9#=wQ$}{=Ei1%dQC;Q5ZeLGfk+<-7JF`xJmjSc*SgvEY9EBwOnl1r8Z<6y` zc4F_QOoi~UC=)c8hwd+_&<1&Vyp(YX$M;o&ItY)K@&iF^Pk*;by@ALCrqDH@nNI&hon2UD?e!Ki!3r zl(dA*j0)kYm#JzqXZkzM-3~{MN)Pw6y7QBmd8=G%W*l5=XO?v>6fJaD-sQ2(on3JL zGb)}2Ov@s954xD)Zteb4>wO7y#*6voR6x1BV}rBntYS3VxPDHq`kH!~CAHXF zdGvr~Gd!zna*_m${od~D?oBR>yGVZV%48nt-tA)Q;%)LRBIV)P3B!|ht$V6!8#A<3 znS>mrtT9#6%BrrARu%cJaI(MTlVKDZsVr#0y1^{}6!c-YH2hw9ow7HTPIxEtTdlV7 z=XtS;&%~Ih4Y5&AawHy&r%$iL%xm-EG}-8da;ndrmhTNUEUE3a zjAe#?|2T^aQRu0b+`CWL`+m~jnRJ6eXfXGKXOh>Y@ug6J2J}IVOjE;ugC*(n=onRN zhcFgri83>Xd5=ca~Qa~JQ{oB?3G zGXJw(9a~RTeNH!n0*ZQ&d<27@Sw+8jY!oWKK3pkR{lwt8(Y$WsNSmTWqojdy)>79 z@Q4*LaCv6V1{r6L6a0N=`w#xyI>uetb|92bkz8rtSIoX7v|+YQ^%Hx=p6Uyeu&y`o zoXd*~zMly;Ml@LcAFjSSDC#b3`$sFOAfOT^QW6T%r3e_Lh#=CnAl?@`HpSn>-^`jU9zs)yO`3Sd(Ix1wf#nqs^>+6+uNF0 zUc@z`5U+1~ZP?Vlr`m-;WC^LybKDKc^h%z?Z0Ou2AP*CgFm?n37$!^#|S8 zt=F!MZ@qimm=xnNUT z1Vlxm|p*FiZy&AK$#EpMzzXhZ@1&(2>}BJys+sv@8|LPbagg@N;yQ zyYC1EcNq=A2LpZ)l2dFplRP*BN6JQS^Z6WyW)q@OrcyQUp6i~jbC!+wnDrXNxW~Tq zkmj=4HHbL#BehPH^zEy5y7jb-0#BDVL4*`_y4Y?vZj3-;9<7TpZN7{}AXAwov(SC# z2-PDh(}^bRzcyI2UMYImOk6X#bC6J%a9{=E5jS=}4yY!M{R~9v{e`VqcEl|L6S_=w zNDY+;3{>JfTpckOO)i^?HaeSAH@0fW^TiS+>~uIfAte9Yt^|~b6M)$K7b0Wx{4`)f zwu7uyKNI-gNT6~cmIM5$&QCj!gLGWCIhGcr1SYbj3>xR_KAmGh&ZyB)n-zX$tu=n+ zZ^#5@vhFbaRivo(-@BhsC}==ScuVsN!0SRV$SyP6U*A(pMd#$zyoX)FBVyN_HyB#u ztLZ*j7smpsm~5|W`=taMzGY1pTXh2F&9Q& zIh`cL6;ux<`~(7iRoNuaI-Vj_{$roQ1TW;PK2A2H>~D9|T+pD=DDEMvphb{RV}=}>YW{33 zY0CU|d3L%hNQyoh3O-nUP_cIiz`E7F2_SFQkk!zDdulp@i)d*A-|JPiDXr_wNrD45 z^`zHp{Zk&c&Cb0BO>uDktCu_p>%~LPzIMuN5#a#pH+hJ$s(v!)(=aH{olIQ*DsoBH zZc2HlX5C$@V7~p_U+N{MeazZ_h9~($<7G&zLRvyA&))ldrMqZlqML|m@z79X;Mx{_ z_3?Dcd4F!m;3X_+Qj(sLK5u7P<(=n>B2mhfi&VbwJlo^%wm0+H?{MWcS!W>&sdMWZ zzkH-#Gh*@ns!viLOLskEkNz2sfGJT7#yePD9*0no?V~!`&bXVAd9w0;hd@7fGC(Nm z+`O#8rx)jC)M;J``n!X}e(!7*#|;WAmq+VFJD>6W(v^l5{7JJ_mk*A(9JFy0=2-T9N%a)cdmAoGQpVOYS-UDtqkr z)Wh=ToV)mJN2~|(Ua)nRUe%j;UWT|ur%l?_1nqa>7osue>$6_k{oBXhw$$^cslTz( zu$a=sh4yREcv^=ztzHS_s}f9)S?9B*sq+*591O|a(sRJt?_Bc>D{u#Dqdj%Prg%pq zi#<-%p5`72BtIY*Ka;p}S?FMu*jF1Qyf05XxVV#>>TrvT2yIiJ`Rs|q&$UElyIdzO zulHF;o5ihElfybMw7f#jAEE3o4)+^*23AqbmNGx5SBm4L_4U1^2-(;&~4VqqLm#j0-67!dvZS^;hG$52+r_Hqacud#{ zU(E>e=l~#l%;g_b>(m3&GUtM5lUvsx1Qp>sRxYE*2J_nMrXS=MO4>y?7w(- z-Qid9(rO*w=t08p;&mquLa32$9prZtYu-~BTMr|n{o9hTZX-OL^o-(Y9BBv}q^v%`0!LK9_Ur4~B!w7! z#fFLK&hGJTIS!Ug;&IF6_R4Jnj(*)E`p}NeOCtl1a5rnTyoc_!OKj-c0^UW6|L{Q~ zlx@HxDfJ8Fno%|`**68K3*BnI>K>2Rpfk&a|9Z^Ruz1J(z$wt;>TsKYKiue{ynWYY z6J5TTwCweSSpwdvk{N7XFiz3o9@vCT(>CFJoF+&7&q3{IU=QilNowL27|%{dN0g-3 zL8cNwsP=Pe?oYc*T-v2)ZYE0>LyqXN(-8PFEp!GTB)x08$RrlRVtxXlv&YXM=>7T1 z)nfuC549hj%{@reCFSBHsk`0}k}47nJs#~$`BL?S#+L;)hocXKjv|pXAptPky~WMh z1rGdVvVrtf-Q>V65wZH2_&KPeVPr{u3zUma$3{BB@92#wNg@lOjJP(cai-=qfyA#l zm;bSc_0A7h8xO@EEpg8Z0V>ium%2|N$wm*AVPX~~l+1{4TVdo-p2qAqdX{Z%D&j%6 z0b0jWh}Q(U>C^rElzUVsl)5{MMFEs4KWBQEDyS5TCo16J~t}`-c*= zf&^u}5tRJCDedn>m+8wH z_5^t2*N-j~tzVhO{39tePml45CRnqf+tutF<-}?N29=TLJWMT`ZR62Cq;8Gkwxremeuq6*@bf(gm&EWUC#)_Nn*Yg+Gx_6;*pLB-qx>-3Kk{*{^A~T>p%yBeFnI69 z$lo6M8eRv0v|oh5d)7AZSg+BD_bsY?km@tn4QY6?ZKlPy1o$F@((X;u@9$g28MoXf z4SLEa4RaPvYg<0LeKK~K@8&5TVK=9zs_ZyYpt49%$wy}Ibk&OJLI)Z#1iQ5|rWZz} z_k8motZUlWbG*HZJnK@4**YF1dl{w9ECd^d`;kFw^ZX##(&OQvheW*wiLLTDR0OfYJej2Tef#qP{2G-q>;QfzLwGZabC| z6hqfM!YWXSbB;kTDr&czQU~MWE8jJt;?9qaBSI2t_aYC0xcbd`$;Qofnvlh~=iIT< z(of+9pBjHuer}Xwdy#lKVJ;M{GQnc+dhwC{Hc@iw^?^|H|H#d&U)&z=s`RH5LBeBJ zU(({Jbp(;O@lKC?`$M0vVm?+sYo9(@m|YNa2e%L|0as%v0E;;hle!>K7&jfWxu}{R_f^%&-0JG&(Y{siJb0G^%t^z}cSNeQDwahP<2lpgC6=Yudr3ZF$J-PTs>gNcf394b}QpF3U<%yY4 z&oxU3of~+L*3|=4eXr9*X*mA7i@ksJW+Ht;8HK&JOK8knuLLoE`}VQ>WC8)Sv`>Rc zNRRsw(};SF813f-LSc0b2&RsD`p+-Qe~#(peYWfx{P+T#B~!|BDSvD6-63cJ2O^k) zA91TRJ;d+eLamn$z3ULuM>nhVJl_LG4^VOfeJsxf9Nbcx7rwrncOw6!PDx1MyDJIj#GfqeUuDxR+{0>YqgEtVJ_dT*~2>vJDyI-bj?Tv3%_c6nQ00@z278E z+zMX%BC@q`! zp2o7foZ;t5A|)0uzEt6Q6%AkKz2J2d%?mNZdAV@0wP!u zrcAa9q3l#Op;2+r2-ZF6>YNm9)J)bhIXRgPgVhIo+a|?P_Kr#f5A1@zA8Owv?AK28 zJTrZO-Nt_gSt9jxQ??1})l2RLigVicrtv;oWfH^qGzyj70nRNJ%TgLb%%}2pA>*-qv48v(48l_fZ%)ST zrRQ(mQd3EcMa4Njc}=2;K_<$jXVd0T^e z(gn@1pBdC1@2toGm1SDPWuo;x>$88@VEqgz@In>AK{@=HRKgN+DFNaW>KInr#{Ho1 zUHEtlYdXZSj>>avRAP|KUWwo+o+}|`SZf%Kfx4qva zI+qTKBlhCCVP%Wias78x&BQ+H=sfw_WG6rq0J=-qiu2dLJtqxiVYLdo@{M|U>Pb-e z%gQ-9f}XomLfsB|U3??7lgb{_YTP8fQSYyw%i38WIol|)zrguGBG~gc8y!E(+L3eC zsD`<|W=A)ZgF_S&_dPQbf_@`2t2Q59MI4tY>PsTZm<|bdwcqRqF%vxz7x#8AVd9k0 z4^1mPXZYrw;5&!1)z5xFL71y{?>hFoR=1j_m-!0PzMrLiJ<7jtCnvMyw<1hAjz-D- ze%r6H?kd|cy^6`2s0kg+B|C#pcmUpmF`fbJk9IjE!?UQZfwOiCeMII;u7z2;!)c&! zIDj-{dJ`E8^(MH-kP#S-nCKQ~_P1QO}D0n0o%a$Toa`4&%Nj5{eA0sWIJ;6r~RM(&9JUX~AIHh)C#k`565s@d6VZ|&SJye-dFr0GxU zXqpB{OFDvzCJ{b&m<^2mU`NU#BQnUv6R}tCXJ+aT-doS8 zN|H?)5|+wXxq0izz2jJ`^QdCYo)Y@1Vs{KFd-y@6C8;BL>ZlpjdRxnL7y-n3n>FG6 znWhEOYe!0+&LVhh@Ka1ab~Ev+#bFSq8}Han-3G#;uAUY+EQPG6e2=|~fQw{`jo9`c zTh1>|)ue4*Wu%1y5T8=yf9f0-Y^t&Pox}$svvo=TP~Crg4yIP|v3Q&!pGnEEZ?Dia|)F^A6hcrJwsK8OYbhzBU z;7?^xAY$iC{?Q6uVeb|AbJ(>XmGl}W|H$c-Il7gA#KrKeGCVR7buD1%qHgtmJQgTd zOpy61tGjDVxYPYot$Alj`Da+LwMZ!v{suWBgR^qX5D&I)<0}gxR-uTK-pqDZD{kvs zQVC;N)RBnO&P;hl$l(5f%J64pIwG4(&!XG0io5eaxVK#YbDmB#be`*RB<22U1;&h6asc0pe|Sgu@j(nDG^1-OC+R3g;=LuT z_^~b*gyvxNUdpPuJFe8q8!kx@9H!)B{v}S6p<3?`%qNZZBvJdo@U1X{Zk|sXIm^}g zFG_-x_vRNtwhJB_G_y+(`cC9)&M*<7r!&g5ueoH;M3nJ50`RARjD}g#7D95ZN4oI9 zUFT3q1$9_-EG&t~mM_w$J7SL!YWN3IOj*lv&tSo(x~@rIPR3Ak%U)7CZrJ;b_dkVB z($=1Q)%z>SV7gbVZndMx^s}DiDpafP{k#u2Jp4Od5SjejnQK0(@#Z0_BAm}ve$ zX%?9yZyp09AdIaGGzSydeqX2MVU0|WSu_u3;xM;0;G;1p-s@s73{kFf?`iG{wmiwx z7FRs6@%|bc+a26hw@1gQztUARdmS`=ttAR?m~8!Usc}?)JGpQUFn=Az_$Ym9(BboJPy;H5u;{;;l#Et4YVzaUa93 zDD&{#Ycxu%O7!qlx6A8`+2c*TW(K3F3=3YseBOY^2u4-qRM5cQo`df-|m zs_bnkm&}`BUr&*3qOyl8dUN7yahjxF9?ss$rnQZ}<9%={YSrU2sf=>hb+ql?tP8oa z{i1Y_F3Z$wH-A3FPPA-Q-=JsTQUCpFuH8JeuJk}*1KJ8P!F!vbG_h7x){K#I zkw;R;*(0+5wLKS;aON7%(z5q>{QSNOg98?I;(i<1zd&8*K;6MEi%qTL>CV|Jhzh)X^s$xBo&X93FCt zg2ywK>@46+4wC<8FD4MR=m7kp&k209Cecx8?u6-r(eWCF z9T$QhP@-=_Zx_^kvt5=TfFq=n<_{)+-yQt;jUijx^TAQIp0?2dJ_H}fSZxfnw1Sa= z%SsYfp=IT1bU0l;pM>tNsLZ+voxkY1FjH1uJKG><@$$x~WgdQHdPqr^X36Wm{%h2X z)q0)S`S`t_g8%qr@7J21ubNudVQH?GvJ#EPeN&N4xM0rfRZ>{j757u`krCftF@}AWz)zC3UipQk9DFWgDqEdK2Br) zhnyr_HeR(Tv{<@5UjM_!h|hz2M=mzq_k~*}Vj1*`hU34QY1fe;_vmFZL`t9HxPKOR z_9UGIMfK#CH3wU)zy;s%3(c&Dw4;uSVTqo>7ah_%0mhN_i0DuINZvYe zJRw5UlZTfGpY&cs|AAeO3Cp%eP2~k=)eGIJ#=Vru;vqupo0ve!%)0f833xwDsj2IYA9o#u!A?%D&=ns=R^ zXU>(wardq*zPZPzXyup)A9~klx+{0GmMw?}jnVn#%DbJ!c;* zmUXFR7UN%==MK_P6%bBNDlJDk767qlYdVja@WJ`MSli z5n2=bvip-jd%Qn0V)3E`P13ukK{;knafZGvD7YfU@>36+YRYUo=hp z_BYwtr7P3qIN{{&ktja52|PDy(-9Y}KKQ!Io$~JX8v4ujh?v#(tCx52CZ$gf^#Ek* z+t%H(4%bY!>%i=0JNH}F4uevhcOA7JcjhMjIC_>K3WuGpxF!PYea%L;7B?n%_ENQo8o$>4pTX3WOb}acqT=$ldr|E@=&*m-3Vg z9gTFJo7H-F|F7%gm zgyk!rcsh1uH!*kjPbh&l#HtK}rCF<2ZiLEyP1Z@;tuICbibKys%JeIbpDMmoTuK%h z?_lzE6G?U&i$E=YL6#v~vE3e?G(rbl{{P_!+g9esQJ|xiz=+*5fjuuOlp`J|@!RU1baX)_n}#-6S1 zE>3hPDU&lq>cOB-W+Cl0hpJGK!|40)iMMx+GPltBcYzr>l&um74_)k8Zn%xiYILuv zehPTEL+HI-AWw( zy}fKLzEPyU+fcRxLkjl@HT_L?**NF$tu~e;t-HgMV8sp40O+hbc{J3M%O$0O@7*>i4)pZ&Yp-CZ+(E*Xoz@yVZ8QE5K`S~Z@-hr&mZ&B5*u z63}RWyA6KQHcHw-A|2Ck=X+jSpWgB(@!Z2c#Aq(QGqssOU;ODR@tyIfs~h;ot@gC#Q`1fOFbm1yQ+#tK^4G$uz>C&5Lf#VCg-K;B80(m`> zh=nvbYe=5k^<7s-$+DT{KoFP9&0_D70pvoP|5^f4FHw40o!agbM(U2TvyHdQbWvu9 z^$%p=r4L%41;(=N`L^YYp7o8%o4X&Xm0P&lunqT*Rv9*s&@LL?n) zD1Q}9aFU{EU+9j$XiDDk9`rC|c5IDA)-!3NcK*lOWPv^i`7L3(w<|YORmDbGaN!|4 zXeY0wA~KObGb0wi0}1M#7u7q&P~w6|v*MAldw+fbP!yh5eIIqZZ9ep$+Q#*i<}Pbt zl;3p73-n?j{Wx66U9!F&Guibb$(^f>IZJ9o<0cy}>F%JzTMKw``aCLX7>(jwylveb zr|fb}h-WX5w!MSpmsaT-?}jS_ig!F9-Gjk;O1beJlu+~4j=IB*PP+Bk1{q^E7aJ<6-;&*dY6O@7iU+EIiG=6Q{-L`mM z>A^+;K{0hvf>RcG#_+*13r)GdyUvI&)inh^r_Q5P-%z6Stimhz4|p$C&uE~Fs&|%F zHWS=?i8?S{gK?@1t*-%@K(S4)m$kjcd(59eTYfTpU{~d@`bu=jiO1juYJEkY<;j4|Z{TwmwTB z%p}5amihS}q+e^%xLiz-%+f>cj_5L$Qj1CAxiz{Vb7kuy=;|C@vg0vr@168gB-nXg zf7>fHgB<7)KHkX&?`MlXWxi^VxlE;c1PH^$B$#3G*OH|&uqOt*%8DXum(8V=Wy3TC zzn$v-?o@#KXRD-Gg^!c%e(B0dk#S`%ngF>we`kr5R2e6y>T9{&Q3*~HW z^g1iwp^i9QA+Ok*Ng(#+CQQsYI}*wIi^2A%dBZ|RmBhS-M-^sBo~*;XlMrO8Z@wZ^ zuHN2Q+5GQtL(tGsRpLpv$uXC-pjh=fN-jY=Lo1wck+&1z_)Qz)>gnR*@1L$vzASe) zit~6K@>Q4?gn7Js33*bqwl0fAw%yw zcCX&I{xVg?^x(+u$Gdpc@;!FPKF_0pWlu(Yua^GVgrW5ca$_N<{gT3d6QXr9oV*1r zS76{;)P_H?-2#_E8GD?6$w8aM6QJFTXDVyxdXt>W4g1=}iNgwLcuFN(V$N~)sBVc}*ZSM54Xl{PcoJwHuyO`T7&#nAVRXv$_80Y?`1e!M>tuLuBRS~RFR^-aK_QKfoiiM!QT`>%p{Y%W~(?g?}3 zXFQ&Zo3L%x3Iwk*j5(CUMZ5W7MsCj1=vasZAAY6l*Mi42xNhW%loX zNxgdMyS9YJdhps>Z9f%d?DDBC$jX}1s8`WEx=S&icwf4}Uq=8d0=GJOrn&_LeOrC2 zx~a!h%jF9yN;VgNq{$F2D0}0pTji8NZHTfRdCougfq|^ikNO01^1qvO&I~%jUvFvL zkg%CD+Wo~P4vVB|y&PM+vZ>=$q3g`(=8|piVjlyY~kMM2r@zs$d#v*nB z8==#P+~uktwP26*+!+es|bt#t@E(_Z^1020WYY0I*0EHa!?e7zwFzo&k zXn6wiLCFP+c@f*$+AQTFA=Wl+Fw5`Pd_#e9v^6_34Dfe;IpF>(^eStSTKTf-X6x;& z>WC6;KC&AiAtA?HUMr~-KI}88QR)_aaK5c%Vdi+b$5vf})TE)80>Ryt_Xmsn7#Ep@ z@3CWKdN5gFKDN-uI!w3X`42zVeLm?X&00K-A%_a=g8VA81H1McA7>NzG6z4%;M!6M zJ}zy03Qe&ARf&zTz=n_oRwu`9eVvJ|f*uwN8D07wuD!6g_o9Az_?@n?@OVqotLZNQ z^I5O7vzYqk4=-65`2Cwg*xaM=4QDv##-j@aoC@m|2MR;AlSch$cdYyTt5y^JCPRJ5 zk*M|G)v>GF{I~<|I0R(H0xdM^*ZauaF>lg|R#SK=K4dxf_?wHl5m98XK$%nnFS&8EyDpSEAioo^JXv2(p%-A69-@ujwf_9@J~kIV4`A)Haq829VpZPw-TSjLeGb!UC7Y%S z@fX3hqgV^rBpaDXNkK?%oFQtKBjra&3T@gPcU-GcNNc_Fj1KffjM>;8zjB(Ncs@-Ii*jv}3bjSk>=twS4S7sw zJ513j8`+XB^4699{K28j^L-G0Q5~($J%LRSMcz1AJ-MJe#GI<8*BLH?vI8d%X%v^ruh?m@41kE1CPu~Lhr%Fkq4!(GD`IyuJm&+kn( zHz7wd>P#&-p7>zz>oUqRGQfQI_U2PA+1H_9uu zYa#@_RNp3(^pyE&E|#d-)|-$i0@X&$cIZjw$J<1xxAM{(CGAj?cSCW&zFt9i3aS<+rMUcEK z_ZHZc%(42re?KQIKA!zPOtAIP%mSxYjU^)MW?%hSIjm_K6B!Agv@x?dp8BS=Rm$iq z?yS~zhQrF}Z`;%{6%(B6Dwd6X6Z0N5_^4iPwCbVyr%OLDUzY-L=Sjszb(uN zH$;(V>nbC+$h3Cy>b2jtyv(gcmS6E=jESj*PtBLU+I=>q&#VTmWwLkIKw9TFnM zqxM15)_p7K*uuFeo*OVy1EmJPjZ1%GiG(+jY7CjyZUCWyDYnPQK!EPzc8KBdJ3#m% zfIjo#=@XFGY>p*s@^?!AxuN;k;r^nrT%d9L~+Sj!h%;fFH-*lyDdWMiZ zQC)RkqG>tY(TZ{TPIA>=uWwJrZU47=l*+G*b=m(w>K)TlSIBWRf5PXdWPd%|+G9O?)R> z&=V0vz%dRBT2gRe zy+h)1RHoh$K(hN=cTb$SxGp@FyI{?D7`~GEV(ZP?G$IKAv3_)?* zRpoG|iLJjC2V_>UKDevoH{V3*v&hI&RkNXiy3SxQQVQl zAi7IjUTKj&^lKHBt$o*TML{ydP}77Bnd`a&OylWTE7^%!cSDipUvVR9b=N|NW7)XM zuuo$cyMj&ycmW?{6&CBKeRJMqwgfbb>0{mvCMJS#jZ?WE?3tB=ZS;ZUeFGx9PYfig zjCkn7V`rg=#rv}u8z3kYz;b!=q&=<@;}x>u@K<0^zLM-;5CMG>VJ$X{&5ZcmPGkk% zp;CFc7&^vD-N7Ng{%Fmet+c=3P+VzS-GmWZf4{afc0f`p5?TrR!$g9cp4dhcLd2WZ z(XSut)cL^cP=-q8KuzlPj%!L==c)Q7;9^6gahR1IVs!sNtH&5#pdm7$k=boJ#d*+> zwHs#FM(|LC<;=R(pZ47QPUnv?n+IO_2*9e=k&BG+4bWwk&sA1>oMcaFBSj{@cQ-52 z1H&wbqG%+LmnVS0QMp@sE{6aT;T8yT8hJzy00mY1kM;ByJi7SnH54v%jnA*m_Lnc|xOEh6 zW`FYCxNMdj-6ncP)EZ>CGg$cjuz@byo)*e{@V@7G86l*XrF(Akjl<1tIxng_X7MyY z@e^kJgz@5~Gf~tuMk5Z6V;ff)if0TGbAjn=3HG}bu1-G=Ydq$EICbcmC5l~VLDoyg z4@{qSsDe>3f>x?Li=i@*gr{=}vF(Wt2O?_^SuTkz$B|?$B>v2Jbm%np)hF|m=a*Sv zD<2{;Q{k?Vr^&cy5Gxi$4nn`E#k1v&} zG{H?fpYvSb$fF`iRIZ3za5kEb%Dy{$O_Yc+DNM-mj=`4_va@pl_@S-FLV!u&`{{B@ z>Li_IPrmU_eYX<k*=|lGPQpjN}h)ms=dQ*u!-#Tt+|npiEj72UN~3ghJK(+_Nbt zrM1nM55sQN^J04Ly-y+l%#*fAZdT?Z!+V*xu86(pP2wwpajCA36AmEvn*L&~>umUT z2K(g#;6jdOiGB~M)!-M-)&pX-2f_gCC}X)S%e9B4(b@G!8Fb3nxXg;ZC;_IZi!?+< z?a2UW4Hjd$s`I^d-Y58>g2JOy{pN)sDr3_vH>v^7Tj2ZcXoPJ!x0ijXKGG768*pts zv*BCLZtJdHCsCaWgvB!2ILN^(%L|H|E;ko2r_$5d{_ppHd0<9V(_kjx)FtH$SIkVn z6*ia$67ifnpImx?D{OR-v};%^!H+0M9$goeuVbzPZPDIC0SWSd62c=0p$i=|_ER&! zI6yhQNWO9BTpxF9h`JGMyb;U>b+$wwEkAsrBUqiL0}Arw*&SI)41&GfDPtoOFxdI zzGgto)7hZN6euJw)R7QEt_!a60W)bIR1*rKQt0}$RWEPb{3(K=Wp}$#J*qaQD6P@M z@zc_Uruy`rEPh9#HFLsI2{iVr_vaT^ZePh0HT`#2KCDcFrcYM{t3Rt$*0Fb8UEGX> zj!%jOUp<2DS;Ic@97q&3J}|y_@zA9c7`dmuMR#h$dIPfy(T%yk)YHVRjwR;H5ydM< zF5gzuZ6MzaZ~K^oA0PwdYL?uobeZxV0H}&cL<;vzDNw7)Px?h9%(N@F#yB{{H*R7y zY8g?!w=&({>PL0D4B&;;r_yAH^WEQ}sNZ^i(_ND@+CGS^wjq5^zTRJds&*FNK?61U zk6rh@AD!M>urGF1?~?iA6qcLQ#PIW{^APemb!CI&2Vg^JLt8tX^BcN=L1Z1b0r&D$?YKZPf=-yQ*fK3B7TE2G)_2cqI*z`rSRJ(I>B z?36jl5QmVdA&!O=>6|#o4fM*!#I8UBN}NZ7Pov01}^`>*oL~9F6+u`wD%CxJ`Uug<`D&GL)!n2`@J?-1= z(UN{3ZG}oHZM|h8?ioQcZFS|h**WNbIuoy~%+>cm$}Q)BujBsEt^slF9{TU*-r8Ev zSD-E|Q7#MYJAz(6sKR?%2!E`S%j~uy?+g8@jM{7#RehmEH)h+gQVCMIcZ?{Tk6bC7C95i{$POCHiXmd-7J zRQGDjH~+3@=mlYU(02*d_|;xKU$8%yf>S#82#J5xU4M`BLxTlYvWRhY1l%u9fY{Cq zeDyhrjAcKmZ)3LO0P${4ty<`9kREIp37pRE{av7!0pi`>K<>3CiqiJ32i||8EeNKUe(LQ2f!l!vgxpMGuty zd?UrXK9zF~h2V&WZ&0ala(JyWZgsO#HixAn!TWUEzt>yFn&EE*(b3AZ2p5-JvhH+T zM#pp2-{NroZ;xHsl%EN1iPy)|oykmqS)Mzk@viRNBUNxv+@^S$IY$P0D!0TXkftYW z3yoR)Ok(Q?d3DwGiM7NzVw|i%yRuX31XSKWz+Y*kz?aPA9+35-y#3f4wwkr zZvj60LsF}vPx24!?u|3io7M0n+-{+LV!Ku4z$_B8ed+NzK1!|(CDvQjfT--&L}4j; zwwZ3P0)ge*j@l zO%W$x`F(vIhec)R1u>Mw_=}Tp+9Nfy6T+4Nz8&?Z zEhe)R?i><^+>CGgOdxNgHO8!Nc&~AqR@rL{G3=~t6HXX0T%fMe60jAPlMh0{^2Pnf z|11ds8z8D*E^bKh^6!**yrW${+ap8afQX5u-s)<(f}jebW-NU=L&K4_T%WKMU4cyh zs9PZJHGlgwL;`rW-W-;lB<#5_uh=w@Ez4<3mkN_&-N}3wIepqw)&a*{vOF!fhqIeQ6Ayn{P)azZ;NAG)G z{3d1v<++PyuXNl#RU5z5>{dJ5dZ;PNtx6kUOs-M~nF@=>0|LKe;|<+Hio3pth6OpY zM5(z<1@80gf|c&I_<4Ygf4Y8M2SM z@0yK`6@YhnL<3EK^zEtaccHG6wY#x%(=xDS6=GyvH~L@yy7aB7?R{JHNS7(W;WTfZOaGE&kCN zP@?VIv-~d75v%qVN+u^bNicHx#B`b)u0ImiPfnj~q;xJduLr_0+>ZiXK*s3VENnc{ zoL;arR2(NsQxzT*p5>98s$S?sz*AGSdFB2(yW`Lf;`w3}d#!bOJN_Xxh7sA+ygZK8 zx)i*1FpXt5%ZhbAVnwHQi1uM(SO638>?-+&0+1JjuD-|Q78nofOMKHhJ95L*j6Ew} z;Oh$_9*)<&g_yr%GbE2PjZXo9)^=eaUb;x8S;WA;N%i2LAT-8Jh>MQyv>fO(^qd&q z{U%q3CgY&Osr`Jy3yrPkDuo0I9_e9&%Ym*Qjo$k4+ml7@A-SKp8SiXx_hK$#KV_Ah zC+!8L;q20QZMH^`LMC^JE{gmI4W0IKg1voz0wG+*;3n9fLQu+*5T9kMX(fRot4gQ! zB-}5O5J17il(Q7~|ILrkL*m)@4?qb(CZo9AB=Fly&7)*7 zt6M|5x5NMdgZ&c1Vd{piX72MS=aoXW=8Ef#dM1KIH8!~8reS6o?qwp1NtVIH>}Hp} z&QmQ+IlNy5>HA6(b?Ad|IzRg1=`yG+fZ?mREI9&v9}#iPNRZ6f-KmGcUEdk5orz(k z5RTt@V*f^P)SI78bbrNA$gJb+a-YL&7%~CkF=Uqz8yeCGK1ANBUtV`0Sf%Z?f&Rw@ zD4FDef#P;&uHwT*w;g;Kyzg2&_86(x5|G69ZFOU92X2o)5WCLpa#O8ldc`5H&}&1v zp+|_aW#eB2?#w2}ln2~#rWf(c-j{QK1h{Nf$K|Qnf!JV+VPd_NcCPI}XB_oO@qigoSD`lsnH{o&l4X}mlP4CT_BX9jKxQHEO zGxBOte+w<>es-%(+=RMcnTa7}eT}#(1uJ?$vnfL&y zx;ywgDQ!r)#wtNUf;!Z!tiVmG`q&H1|AX($4e`{Tz~x=f%lMQ) z>EuH*LXl+huDPH=m2nJ6 z*PcCO_cfJ%*ACit0>EpY30KS?F9uvEc3zM2%l)+oGDZQE#~9<$Vp2!^uBiKxUIS)o z5|z7EsQ34U;)oD-{={<+fvbXjXxt6nd>$``R;Cg?D>i{l1Q-uNR%x0RA`88nUaNlx z8KCjCL~JqR)>yRI>2Z3yx^YPgpgIP(L4StTcd9)brm_^P`XH65=h~2O7$G`0kKW__ zG)NmVFrA-$hxnXezb!0&6dUt9{eDlarM@L2=P?o3O2zzM?1yJW=Ew~^`-z+0hv}UW zk4`s73w(4O?n>Wzt-=zDOo!6J_?-{-A|{**&7O?x;lWK(OFslJ#s>g@1%{0}U>v9% zyk88urOvk`{JFg5@y4EsWSz$qC`TPRm_B)OA3V5`OrpjxG{JAxxF+MAM+l*GDeJX~ zHA`>G`T?&@oarT=P&J(Ly;B1y$B=WqNKU;NS<}npvd>hu!9M?8n;%ubDeA4C8f2!uW{~><09f^z#AB$QDyH4Un~E8F&n`^Zo1e|C-Wm{UPUbOm_B4N(zWk_p+}t{wSV2@j zerDQ83tu>oyw*HC^pprZy&RYOfNCUJtfAo5vWHhd4DT|&1LTwyu?cU4-Lf$a;K>Ay zYBCaElx+aE9iX`9F5*waKgYI4PrNVt79SnHEe9U!YzAX-BoC$6cN*HF_ z&mb_=XA%B|pXCN<*TNjL>?;1dzx+iY)^byQd;#B@I~c z$``yiSdo-IJBGa8I{bRGW-KdsK!IcYFjaya1;dp<#^@LA^Gfiwxl)5D^UXKC$tGg8UT38xMuX1;)Ryg#L!qOxaW_LM79p8-=6D;s~}ejeForq`DCkseskb#yeL3kEyo|i}HKBhKE)W5kWcxgOWzN z6cHswN;;&aW9U>sTDrTWk*;BA>F&-Uhwgkg{Ql2B|7#Z9bU|8Jw+ z7RH1eINV>;s8N(}Elt3G1=*V!8b2wPNuYf$gOPi2U9)WXs2a?$p$1h&YTC07;5IE) zkR{Qu-3H|l_yYP?p0U^VHs`b90nK7P*;T#XA5;mLF$lp4rNK{w|D?Ej=f@a&C?hNE67RaPe?oDFr1OLi=n+Wbgl11guy3gkC~ z+v$8*AW#e1G~zZy@kYb3m(#-Aa%HuqG+(lC|H*-p_-4AGmDd+ONJ^-G(ChE(m9snC zD`3GCsypt2dGac2 zRja$Mx{NVLBj0GiZplD`tJc0-eI3ERs{ARyF)O2R=(80pKw3tsPivh9fC}o(UVW?g zZ~n1Rx-n)g=z1^*%P{Yah0~2y*Gbg82BI<7COh55ni>X)`>}$u(|O-0dCfAn!KgRs6+izO3W~MfG*IlEl~D)8Ek_ z;ksqlP>aslcM0i`U-^KbVKH*4dEGGj;FnwaVlh2#eDSBB1lyU^3hO)s)U+MS{b#5m zS@j!5m5v$pgf9*OS&(_zW$9n(qpu$=F(41~tMK~_=v50hZG;Fe*SGOLjHv_m@#TKV z(P~cb^@9?a?w3AID9jM{&Gy=%v#SqM*Yi4NW8x;&9CtNqtCy@nN%PPfUP1maZ!AB(Bk{asS~l<6A%GojBcSgYRx^l zo{^O0D_?IZDrHX8@b&xD_d6!0+Afy9TF9zCJBvVOy`y8J1fM;foOo#HFF4I)Pzg=OwHm-IR-m zvxxcblz2!5h^P6=j^ErU>vOLNBA*BQhcFZg=j>0HVaPsq^gB#VGGcjS(H93thuqUY zcpAqb$!LxmU*BD?m43Wk;4KXu|Jfs$)IN;NDBQ*tObSm}d<6k0mZPyLfiGIvPtFHx z?p3O}xj76i#@GUZAvAtxs&&MLjDE*OMy)BMW`9 zOnMf^&MYZNSN(3Ey@VPpYiPGmcWV=64*>XpmLfHA5a&Mm0@K{OLg&5i^?DwIbWzz{ zZr75iPqYw55AF5U6%*p@O6}wYCZxH`*vVN|!g@`ww2*oKVDJ5{f#Q+%p5Jx-Jju`i zS3<)A;3U3tA7*seF+T)pnS(1g_r~QDcP`=N^WQOUFGJUlvMN_>gbaFBCJ}SSVy&Cf z`JAxKu}W^6piLYBspgti2Ltig>}6ve;Hdj_NLxjRJ7)yttp%j(-yC{J1OUm zIsJ7Qu(RpB%sWcp?Yim3q>RxrGlLok-f&wPQD{anMKDlidN zoi1oruo#>ggg}d{2ahW9Iox3j0j^~-Q$STh3u!j#{W>toTHNKubgk3P#`r> zuHot%hIxeteIGImsT_+xH9Um;rXRqg{yc+tI#(k)XpBg}wBDQm6g)+(E3`%BLZ?J8 zR}SWA!mp1@YtBm7cJ2Qrw9bi5B80WNOS#=!6BaO2HKWkAwbv;xcWjCKBA84p7IPHy z4THliP~LPFmST4#3lFfoUtC8bf=c|6xaCl{&Iz@YvxBK@h17NayR8vH@BH;ZHoiq9 znn4I7o3QVZ4iK)me$cAGIVwMxkOO%p{~I&(iYpsCe!uuWwiq~Wy9P|=X@#}Au|?)J zJpi!%oHC;H6FIOu(77$xt|w~zKiNL!y)oHqhPlhWk?=kF3UBiuQ|v2;S1_x=+&{v={RC~*@pSGYQtz;vJn6eVbi;a}B|8h?{u zVL_HFQ^u_1ToXF@Ttw8NzQ(^k^X-eZf7yRo7zknBxLsfVJky1@A-C%*gXhd`x1;_X z(!eU?%_rL`cD5;aki`Vv-UY_3q>8c zRWb#*=23GsbO$r=5l}047`me%4;9^ELuTb5$s%45uxpn6t0!7vs$gK?5#-^Pf^!(w zQre|V0OIBmG@R>oK^RbGFut9(s>SbCp;Z$3cf@Z}zXue&PK3|4<-k@r%eDoAFV+ zDnRy_Qv1s&BfhM$!vr{NkP`s%6l0+{gp8Iasg`SN>s@_PB%VyI7?z{ z(jHG)xZPbZ>O_89!2uG05Wc^4DeHNEDuB*tAaEKCMOp0W!RU;ZD^SSh6>}r92wM+y z0nxYzVHw)iWNSc{7n_(m&=b0CEw^ZL;y~KORHK{*Njb)2H^{rP8Qz`)@a!kLV$M4Py? z*Q)RN1^)K=&@w1kG6wOWHv2Hc{cwua;$)zR%|M7HY;(6UGa!ZMTMMpLgTf@H> zThgG`!wdap_)8srfIHpre_yJ4yC)jE1cLfI3oo+_(px=Vjv-tMaPu zbGnckwz<~p(QV9+S_!@=kTg8GklfBB!P>_tx61(dUK0J2d&xs4EUS!gNlAV@CvoV{ zk?+5BjhXX3i#SY6*aS?$S3%G41syPnxK{qVE%63FcWKTUHfclVIh4jlwH}4QMsJzz z>V{bA{Vktba^c_&UOp)y1=L}Z0pj;5WgAixbf16-^BZoF8Uw&PBVf+)0zW&bW%fUp zQF}qV+b5yIHR&A+(gDjOx;`Kdd{fjf~_fncI#N_~6)6b}36b9;EjI5a=> zFmCtdzs@TGh0_w(t{T*gkcKRjri@1OW>gThgRgI#UR;gVbesN_a!CEaUGyYi#&oUz z^dj9TWTBId@EBq8^Cv|XwP5r4)a4oXsz3rDsa;C)SNquC`@@l6BWnWwe|vE1GX9z` zTYuI8c7bB$0@n(`b^PJ~uiA;kpGjgdC(6d3Qh^{tqz7$abp3uw2S!ttfN2w<(r4*DIXMfOGkM^ z7@)!ZeJ;Ml9Jgp0YBu@fY=^u+tA+ofelX`-*2&(BHnIxpy;q1dv&)^exNGKDSvMN_ zE0(>jbH-?^@-kQPyep-4q|^LtS*rq4j)=pv=75&f9y>FGeHuq!_>7c}F5^Bos|})u ziqc?mR%k~3T4&PQ`t{zFl(V>k?%!B?DR-HCKH;1O6~FV7^Dwp7QPqYV6Q2O=2efBd zP1!sFuihLDqJ_j(@;Y<9eC;sXE!iEfZ0=Tm3Keue7eKtmGIo|u7`vgoCa3#+LTY1S zoIP4%#4=UrVNbE`1ISi?_K1Ddvm&LLBa+~ThD523(h%TiD}-*c5RxilnZ&xySbB~w z639W@M_^scNlyWK*7grR>*LN(yRtGR8q1@LU+^H$d@=u6W*>nJ3VTeoRCIEk5~6YL zPhh^}TAlB9sieF^?a-g*IeB*6_MGM6_|(3K@PK9MGY(fxZWVRC z8JFuCB$pHB+masNl<^Am10l zzZ&7ui~XtxGCX*NwU-PmONtXx;zGC6GE8v5EKeg4aCUDA=Qi)e+mdXVZOfflPD!=Q z@)_TDmOeX%GnWe2*+Wor0omIssM$K97BRgeaWn6?l5k$(eK9s33Jac*y*joUk+&W% za@9C%0U)r0RoiS<3N z=`EP0q0(F%Q&@2dI#Baszc)4#1o`nV{Hh}A{|0u?xN2gmf(UZ{bX8D?&Jt!nUt=E| z@e1g)=>i>w=K|QR+kkk5(I5r~O|6br$-coS0izdxp7a4i)wbvis6S7vuR5I#Ma=oa zV!tPHdw38YSzEnHyk58}hdVsi=}hoa_YeQeeG4pLS|>dl?(+>Tl?&p!bh62h$8m&Q zzCaz`&XCuv(6~ZiVr-e;4aTG0KmM@-C=P0SoV|dz`z|&}UEHJ_9j|-NG^eQ;=W)Mg zXy9js3nUwSE&>aW8tr)om;`pQDz7euJo|Zn``BBEXt8)1D3Ll$(+$~e#kR%42>*b_ zrN?YTnymvEYEJ-1+xmd6av?3^az=pl35U9X_Az07HLoAZ;Ci?EWRACbGPU6%BI5F? z*)?>h;p+{5a>=aL0lo8$xs29pJy>^(bxIT&DM4hA4j08G#T&=Y=(}Nc>QYS*iBdv@ zH>Ef2zop}7wcr#^ljVHOXrY(+?|uH9b(-4!7T48TbW+toPQ9 z&K35l@=AW}hOj8);lorNkA4?YXzH6%8C!+f& znPNXNck!#Qbqmbf38*1UX`^CQqx*SOHDg0IRv`YNgY@QW6iu-$akqZ5LsLme6bN>u z0MwVipjJCi@vyV-rH1Fej2|K^=z&;Th2q2N#)(&>RN{ys(wY12mu~AcD9VEzS5O;j zxSwAUyZm@S07-3UAdpPdN>E&FhManYyw}Zum@t@6eg@zwp_+87Z z+r&^*Zut9xTDpCO)ibDJf5Zy6L78SuAMXv$`1Fa7GEuCqB&awnqx`?CZ}7aNa*mGMwDZ5YEXt-n zbxnmG@1cZu#u+^@qII}xRc&pcfA_FWj9WcjL(47TIa1elc^(UbSwTdP0f$G(953%> z6Yo$PU_#ncQ5dFk2A*myFd8xoJLWO;d}b-!+!C-1Rf}-lV}3ZDbtFlr>_6K&r@5t9 zH@}K&z9kQb!3V~kGhPWq$ocNb(-PKl)3oaPv>vvyuihv<40^93tytHm@)BB7+d->- zXN`EU>&xn0^VS*>M`9_k@!kMKM83b~8F>XEDumg@$+O=AOXSYl!iHs(eqYo9Fk>J* zI!5>SO5?4%O4U6Q2yw$lYUy4k-Adrc@t1wzYXHZMtH=3;fZfRYlc$IzAketIYUDzD zK{2|WljHo_btdyn!mH>Z?dPl^api$v|K>x27Y=*jWL(ulKdAEw(S|gq#RncdYUI_v zJGk>)fJL~tQsu|-JQf+(*?gnX z^uoebt(#p_(tShXDQs?%M?H*dQ2piW!4n0?9nSe`;aX;c;j3n`KW`^jM6xqq)xUR$ z{Ut2ycyZ3!D{v%w*H;MTod(#JPa{tfnst(n!+{cozWBw-#mFB z27%!UP|t2BweMM6bm9KTl4_f1N6O@#5=Dr6AdCcqx8P~PmV z_@e-m5GJ4a2UCOGcLvTXMDJGC!VAm6{#9Q&17M8>Xksx4eOW-mZSubjdX@Xn4*ybt zs!mU{>XC&Zy zZ!f8aKW?&YZpq(|_>eVZq&VZ2Q%M;d=To;J;EQ&&`5FR-gX`?WOJVjtUQCvc52IWX%L z9m5wjldpJElQ;wJ3+WhDvQam&EnOmKP)g?SMUd&ZqLxY2>vrKEl(64!9KZQ85zvKQ z7EXA7L3jDGs}T0UT#x=O1cLH%5@IP#lw?c2nz8UvNb*+E=-C{|yt=#-V#4rh=N0Dh zZFrh4)bD6nJ8L6+>>aCKF-v4HOrP{kDVo@4VXGMDpppGVDSGw?sMxjHxa;e^m0Q@F zT$Lk5_!Vk$0cMFG^yB&$4n2;yRolvz*Vl$S2TqHZKlrdQPDj9@8I0XhK~s( z^OR3Tzq=I*P%utmj3svpmd^&)>2SFFHV*4rUZnzE-`B8^LKkcs3!b4S=dDPiBVgA< zAV2qahVFaN3FP>9xOw)ig0Li!zK)=nj%NU()kHIe3wz8-2Diym&KtQVY}zzR^Wx1r z;D&6|K1d7whg&cgl>aXr1@c%zOSXGV_R_J%g5_7 z)W{PuSvWWZjC2^dMO18k2lBNI*Iq6G_C2JLiS_==KV+*qp^X-_njOp8qZhvz$<*rF zN~mUyNt1K{Q;ldk&iWpm6WPTtXCpn-=j)uGZyg==+}J z3_sbmC9#a;4ujw^1uUQI5JLq(Fi_WG`=?R}5lK&1G2tQ+&#*S8b5@{eyio$jsCM$- z0<4PikBYEOE;*lLC30brLno`pZ12Ys_t3cw=a3-U@1I59zp<(TsFSv{{OEbqH&=Bi@E z&JR+>)|&gXEfar2TQ&4N`*k`W6a5+4#r&w9@~CF}qr3eEA^vg)w)@5!yy~$<;1fMz zVwh`#|4jgN=#aVn4dQ5QxrR`W#a5b9C~pXQ1H4eJ9_FgWx7nD}u-ID;SGRK<-_gJ7 z@TozH%23D1Ba~#Diir!wa|vE|jZMQ6URmR@E*7UqMJxeZ!p{p2z?NXL`y{}i#kch3ZS16Q`;CEB50C7JiFfB_P!isi z&>_P9_)YEa0j#>tk1#LhgO?Oj<0(@jUyPW-C|-hdU$b(!b<;a3U{k#Jv%F} z$$Q=TWO~LxX%E5upCJzM_~~B6(sb}KC2{8@j}5=5L?sgu;nf|M)`>Z9cDzyF%s3Gs z_lI$XkgszjIE;^BEDW-1y~t*ACKkDeON+t^f>Vp`{`WITG;5suVHOAOcCH#jtUr?r zzV99uAr6+6(Ve^IhRkafG(|!ZYUka2R|-LW>SlSZxflCwX(*kKZR?CGzz&8r7UQgs zc#~G>EM6X~>X)l!G??O%ju;HVPAZdNjYq^+a+r-yN1=@3wc5kD9RV1rK}E)lH>{BD$wmK z`oew8_~=!DR_rF93zBcIdm{1xaG3lC?_ z-Dt)4VS{-Mtd}|f;kNlas+(AS6E?M8u=+0$!nJ?okHcJ7q)Mv0TiRwH0ZX5jIl*vNni5YQ}@_R^@&_IYbkQ`k40_RDIrgdC{q&YZDtwHq{<^peat<9ngGSXEL0;-RA7T+W7X7A2gmy5ABmfUk-4> zK$};*b_8z)J*C0{S8RdJxrr^t4>|5e$@~jG-eEibu0nj=`1-pF3`o_+^;9a%Hxz!@ z=L{D0wqdf)99s-9e2^roN^6zpl|5e*GYCNjC?z_JS9RX|wIrb-P(BsQJwK69bOgP`j0IiE>Y5rg-ot>y|k%8z)v%oxddt(Uj2WUKjb!# z-o@cNkQZiZ94`7l6Z*?|_f-+SR!}Wo5dX-dChM4!QWcC^6Y6y^Hcv?{Dt}JYpoq%5#gi)3Fy}Hm?J}D%Y=W=K{Q3Ntyoun{Xo!Npd(9CW$ zH}LZBO6EREv_8bcyeIOX*Gl0o`^Z=7!F?%uJ0HFa;&!>dk@VW`OObE(ZL{Z%$5E6i znfi`A3nq{8SGC_*>A85P|Hc%T!*6;^O4E#s{=_BDqk*(p&9T|EdVtD#%3zo8+g^1_d>*@gyz4w=nK1Oyrxeg@bGfO8Hvkt6u4SnU{2;4O7mSg zoe=|d?s2mUFpQL6Bd&U9D+BQCInkG0I-S%(m*CELs8`rTK>q03Hg-e$@i)h;;d|pL z7zxLPnm5hWWxlN8mg#2Mp)*>Q$swAbCjm?C?-)l}BI1LqQ|&+Crvhk0dJV2s`_!|obL@zA6bm` z+0Obt+6`p^-Q^|&?ayq1xDz8ARP2ZO+;zKpv8A}QNZqh4vs$8i2N{px<*D7>f$Yds2`cg`9AIe4IiCwSNMtlN%Aj8geeVKFlT1 z_)~NIioEb)E=ix&cf&#)I5RvU8p_!S zr52YII)5BfKe&xLpJVP`dUBx^SUBQ~yfWvjs+4I|Tir66ow?tng;`H4KL4jcg1>ZT z`U!Ja`FNO7?aSG8rkcsww<5l=D5!&cL|0q0lTddvUgci)=pk~ZgG1gg%bd#cNy%K0 z`JP~tUsEjK^XVMf9b!)Zv6#uo8q(mX_ZW!F8dVM@B)zQ^u2b~R&YdEgZ!a^8_Dg0n zC`pi%M$~nTRW3VX&5YNMeix6_SeJ9QdIzFu@sk*mTMus1KPzRhsr)x_gBfoct_s45 zJ=kp}mR^RH)-0es8?x?C-i=sTa83whO^{sO`tk241>fG)njSYa48*k@JoML{E_BXz zwu=^6D)G0j$v%oKA5NK}coZWcC!tHN(d;bHBb^KTHxmP^NZ%nx{Q8G3$)@Gu%Ffqh zfyRFmt$D{=w&jw>*pcPG#0qt*6BPMED(LF)QN@`oZBZQ!-i&R(LnX6b-?5h6=3-B( z5J)m75*r5yp@zp$-yf!>QqRSjhPkwxH*~xYg5|alBg=SV3=^VvMGP(Y7JCCe*Pj#5yZJ2&3Pe6bi2GZPBhJDrqelu2$O8B)b z%`f5jyNA;qXHTm#dSF|&OnG>r!LKOKd#7v`on_RLx7Yv(IZ8CeoSs0gzkj0Ro&+Q# z*7wJa8+@u=r1q~@m@EhAlfI{ z4TsT6R);J5bEg!}q}VzaJ7pb^g>>?dHV(8c@BON3+>H=ze?8}Okz&s+ITDY}C#I$; ziIe|Ks81OeDj8SWc(2aLkZ69Jgi=rxoi5#ju;!5#FASH=a@r2vAO2kX$^6Wy?6fJ> zb9sz&+T0<`@?!W{Yc|LA6Tk3MX69MjbW*AB5Ta*d{H?u092qxs#4Dk>^|B{I!?0$HV8lU-!vGCH@ zaKeowIKcAgz+6Jvb8vYw#SAOnFq(XE!zqX#hWu9ahnI}ue16}P@G44*IiBDk8WG$I6nk>s` zDbnSazLa=QRN~)JLuR*BOC%(auw?~fB}V3%OCi&(rcXCUkGo-f7nwUlbqp6cooxSE z`VJYWY-F6zQH~t=210 z>_!bgi0X-OMBc(L+AS;L)C3cm**dg^y(L%dgHA?O#R-QLJ>o zjh{)4=w7(skWDy6WW*Q;_wJSHQih7bRmlf|c?a!SZ%-jclZAz%u zNW)LLA9h*Z1#Ku~4+=3h?k^9{$->)l4x$g>#_0{sbag53(TvBs69gQ;xtUWj@%+m( zH~dBs#|h%55}ls3azIrLG!KIoQ;(bMyMDcHJzTOH6?p|q^Gx1lv=j}&y~MxFptfxYhPP0{>N`SSVu0UD zPD=o1U*kmm3JmI>T5xcp`u#7?UTUaZ1nNY?HgS@xWc`=itdci4hmZT-BnYi&8EZvW zPGPlG$zA9PFV)`!{?EXL7`Pu04fL^kHynV>W8zbXA9*T*tgv|Yh(${DKB#IqjylS) z*O^tkhlIKT3eQnqX%T8cwX485On*nqZId_T{y0R0KFNOIOW#V~Y{E99^AqB+l2f^F zyYdi7R-K`c(_qt9p$ASlZRIre!Woh!-N!KSVd}uq6N*-Zj&wza~G_%%P1*i(R_PSxs z3;)$t+@0fjk~Xt3cP`feM?Xs;xGmw@0*ZdmQbBjJGi3&DQfhekcgGuzSH_jHND)kF zkh*SwA!y&pb03Ya&lxI#j_xu3C`h9pHsU)JfTO^|=ApS|ppY)IVE-p0JWoq`?-3gQ zKbK(jfkTU(`k0AtTu9rJ<$tI_zF(LwPSd^!Z~ROo4>w~j_-@~MW^)1N_uqR+!{4$m z6G52)f1B z%VlFK9f(7`B>6Q=we8scUD>w9aAdYmL|8gGJ$QfP^XmaxzX+&@l(7CV&XN?7Sj^C}ET4@vto2dMin&*$e~H{{ye9?RJmsQex9^{ZLNZFv-L-w&3rZdC)q82Ik?cAFOHYx1kM>%~p zV9iA6&&u2NVe4fdF5^$ja_u-h`ACbb*AHz?`r&7k3n;HdP%Zl3m!#9IZ2c*7v@x;a zj?*9^6Jm_7AiJ2w*)A=EXrmpx|0@u!KIoU1pG z@&P|riL*<|rGFP6&)jFubmX-P_2pX7Ag%Uq&|7%<2=If8}LuOwU zyx+?m^~c+!M>Z4dWmR9vP;%n_qjm1bxqDF{kg#~IR#U+1%ZSEeb@V|fnUuSp31WeG z|08#@P6JvKwSunc0JcDtTylu6TRKH~KI<#+W-1t?qj&LtPc z6*AmqxNnV<$W${GST zT*rlJ3aW87qx|Z7EW)^R)`SFsL3_ESF_8;0UwvM|@4_JsiXF0JcOA_}WeIh8KG(aJ zkD_gB<`j}xC`Jn|D2U7(?5W>`pzNw@U{x#6qGCuYo)~Rv7foD?ndpsKTic`$^Y}GE zjKhUa{Ja}!&g$aCw)sTdaqzo&QSFf_m@OZ6rF;WehI1kno7nFuk*Hi-ZfMU{5zEx5 zTn&$flKWVEi8@xdc?2Tst}s2h%0-&zjxWx-hF&$zOrYUoT?;0%3#fGaSMYBb#qFYJ zmr@ll?(Pg+Cve$UHdMRR-1mHmo+T_{C>6$B!0jg2`qTwh(^i*VDg=~OY7=6TRV#R?P`);_eWtiGA=!w< zlY}wQFk)JfSl|9*PHmDtSZU*oI+N}>tg}=NZ2?6I3D0X=Ji8bgojP4F`f^I;eZe1; z17OpjiNuv*R>AF_pndjXmZ*F0;1C>xucPVZsQ@9?pye(}cdG|=g*p-58~?1<$flO6hQVQ?tV5Ra%yCN*)z{gsQRM@PaN_H_Kf4=Bp}m#s(>UJs z7xLO1Axf2|U#5c&@nftmxZTc?ZLeN4Ssx?e;vAS1!c(-J@^ z{`0m+$}_w_pg;3HdEns`u}#^5wj6EL&m8OS_vaA8C9EyF_X1_tlmUT3f$Wa?`?2CC z$t{?Ce#zEr#!3Vljb9CmhRWd8iltos<*E?v$d5{{RzrO`XnEo>0}LfQkmp*H)(f(* z|J+OZUDyQWep%pJxr}eHOjO<+ZT{cE>iex4JqERvftQz#l4SPtjTRRzyC3%l^V9{W zc_*H)HaU0I#oGI;jXIA7$7zN$(yY!TBEAeE<r=Oj3V|38 z#vNQQ7mbIzrcf#qYtkf)tZG$Kg%M#uW*D3+JITk`ZKxqH+Ns{+dPJYXTuMj-eZ*_@ zd3^FV#KJz)Vx*9?<}Oy$+S<8m&8(q;p=!GFoICS1UUC=zOh<0a+3TF!bD&)q*8Y}c zWGc5Izy>$LR}=DLYIje|^qBC>`O@gVRe7!h{>U}03H1#XI@uMcYs}#NoMjEYlnsZY z{RNATt`!S-hl+JWrmjoqhgnJbP~QKdtJ?SWq@8bHUQx*K(gU=iR(xuKzcvpbH0$iZ zz}l7RIBKLxC+Y$3MvCA`;-XURA<4*D}(EW3^(lm!A|O(T8YM1^CL zte*F@!c(S2oSWW_0fn&(B{9TJ(ACjof>7(Y6({6@C(U4?B#q$vnoU)~>1_$gT`uD0 zQ3k}-e)BeJr4>bR6mOcD4et)8IVHFvL34~c_!ca2Wuil(Y4-I|?P3MZmBG!`XS5&Iv5 zT>D@D*7}V=0;9kSdFTv8e_g6UlAtb@?|TYt2fi)y=wVU#!JoFNTPNcMaUs*ba)6ZN zu_YOHLwFU=(=vYB;U83QXiZf|E|n}6?*GsgIIR-)NCzttsQ*-{xSf4TJXZFPxdqmw zj{(gAboH-n0#D%L#*ZN+U0>HilD$^vxR60I?S+ew4B-drqI&Vwe|)r#yfbO+$}?x0 z6zwjX>Q8mM>Pa0BYgV==!^``g?o%_C{P$jq^eN$_>(BlP<(OE!Tl8^}^ae4e7Bc(1nT-_Zxnc?3?yjA5;6pLF z3MDJjUtL_8WT$W|H*+bF)_sj6^l*5f5Lu`5Pm{sAjATFklwDTxyST8vfk%v)+_I#> z7&zh2bLFCQRE3{Zc(z3qsdE0gu)u;b)sAzip~P-z%)$gP0yD2#8ITVWY-WN#(@TQi|JGM_F_`~`gV4-s3lLQgI~FYNv~ti;Db2?;}81c*3|bHFHbIlRI=oM z^fF<;JIVSv`N6S~W3?pKy`yJ>w^Dr z`JA@jC*i--8ss<8a6@4HeQZ_~FZrhX#vJ~Ww%Q3}_IN8cx?lDmJ>=t(Cg!d+!!@KK zyd@B+#-fb|QBRYQ@mgk=8o3-*?C6Xg0V1iOO1dF*0F7(9gn5>Jfmfm2ymH{md7w^2#fy9&x8>t@L$)F%*e@QbU?0pFs?Y6=E$N>V zP`-Ny47KwGH-+D6>p7nLQyWHH=IPPVq{RTc;9<^$m0u^QEgCurbgb;y{3W}l#Aw0@ zc?I3Er#12qys6(C44WrE$`A{7*?eK>ADO+9-=|QyRPGM4Q=2O`ZnfXbNt5dHA zNLDzrW6irN1p))W%L*E&(ldh}Q5o4alh)5o(Zq(=ZcwhUwYXR`6tI~eKxVt8!5x-@ zkNYPD>0|b_p2S(U1TwFMTeW(;WbbYtJvZ_!+e|ss=C#s+rnEcaxKm7#{x=%r{rTnU z_Rj|A8Oq{RZPJILvN)~J=~@`8YSIgKx4fvA^@jBkb1;5%!fkU@+e}xLlS1ov`w~PR zEIDsWb~k^aL+b{yE#xe7Rh!niy|NYGJ8?jJhB+n(YC-OSc;vKZV?y3HlUjn%@Jjro zhrDTc&qNOh?CpB{(gh2@ED*imjdf8?2ZkQ!nr2Wq$&(zi-bi zaP?$uV%<1z=mk)@qq`J}AK+S_W;tQjk^(9C++@h1s9dhk9PGN${!*w^nn#h>So0BH z3FnA#CvLA8_*?X0V!V3BnOA|--LeK*!{ILt3e(jmUumN~q-Nh_p85yBiRHo_Z0;M0 zmNi;Z#%UM~^4`TOnnD{5|Mne4s8_!nro;LTaP+FQYRBiDC57tt%U)<00~xc<`)3PxKe zKEgL&gwZmO2RSsZm#zL3x$l!Wv8qk7&{&sMihk4Uy)xH;9oH{;3sR5X~U{Q6ZlDx6P?9I>j?8 zdtqb3lwO82<(DCWWG;ZYYaCQ)ecRWdx6YiB(EV|BaMhRK6VoFgJsy-T@@!FcDFR|K zKlxt(&KP*N^1594lxv&6TbOZ#A$t#IrDmcR!iKE$5ZVtt`yb`eGrqv5+c`AVkeMF_ zq&0FNjEHf%>i8vm$a*V=%kk)wGp>j78M<`5+>tUcXTG}eQV5_ta<8tj$1-1;8d#)M z{~*n5I{iiBEV8j;fv}0n%_JnKiHXw19CSe{{w*s<-kOG%Lb5E;^wDMiR#AWDLc=q482zhzC7U(sLpBucWN==VP5 zeXHFZ68sJ)+d{lIoT)3h744bWf$7^;!kwFI>@W@IP_*D-_Kl7a1% zxD<|cIX;$$_+-$(;;Ss*VjN-ff0Y3wuf8!CFbThI7I=Ll7-wMrmzPB3J1~7AV#CgS zp;`xtgt(RhVhdrH5AiuTT^h$}Yd3>PH0;kNjNkco8g!|#SBD2gEmvX%-0v&CaMh06 z)yrl|%|^!G2T9+obp}&WSgScesaXBB9wx0ajhL2!=ET&ff7C9CQVJz*B5GT~j-SGu zrccwU{NM{)vF2R=Z;=~-B#_p7VVttVPmfS|o^Bu84u5)NWH5sF*uf(~W(57x>0S0! zTt#8}_WIuD-6%ag&M*ef;<;oK%7#!_3wL7I;ruh(Cwa+G;T^ZH%v}3B>^*q}yS96T z;qoSvWSqbwXHLunx0vS)>uD|p=1(vgLyt#H}{i!Ss8(qoC<+ptb06QdYZEr znaibFP>A?E^76x;i*-bJB?Y!c_Xdutq)tr|Z{-k?<1kcmQ{);=^H+xX5vDQ=1us$G z0-~q7u-@$3^Hsq_>lEjS^{3YSjoW0S;N5Z@j$)eZN=7(__={xEVVOJ@`>;w^LYHf; zmd)l0AS9qYlU7BWPUiFTyz!$#!T0#s5v_#WD}Lh6H4^h=E!O5NSJJtA8v|8A4Klu> z7|vY_9MMH=fl2>#ksp~nR*+v~Q}VS~)2&WZnTcP6z2xkk21UE8&Psku@y$)h0G7{l zrp+*nyzuhP&t1cALR5-eN=nsf3bV6jxtk2yqK)OEb$LV!B}8V9l*G!DN35$1ll9{X z)opkz`^NFp+LG>q49R%KI;slyL!b`bK9^Z4GQ94OE^Xf=!f_W!(RbK7>D$)S4gWWk zeU4+0Z4;Qon(Q~nDP10F)F30ZZ1yUA5fZwrUaxmT(Hc3VB2mEXCYBk67O`Rr^ju#c zX2wcHUm;%sys`tG1Q`w{R(0k*+phlE?81&5v@o z0F@*p)Dt5KuMANy%ixq*1$%9?@4sREIVCZtWx;2i7UUB)6&2{IBCxvX=#{KO+;vbS zZrN}PSnv+@HwwY8VFTtpWQUhoICU!f0c;Ib30=HUmiWkxm?>`7q1letw>OK^?v>lq z^-oGJzoXkRlsYRn-auM53(!Z@oSxLJesD3COs-UG%B=53x;FUrm(FdM-`a9+1o>iw zIUX!TgZamtMGCG#$$hIFhCYk3Q3#AtHv`3uLtD-M?3jeJGuhD0#*_#fI%X!8m52{X zV}tg&efV4nxl@28X6HiLUYp0XS)tHK!}4Z$YQ)vxzuG>CLmil82L@ynr03@x4c$2X znKx`Pg&-T3bLf+_p5tgO>d%5lD%$o1ZW8>Xp%nSDTExt^gCRY25%OQL;4+dEK+cS{ z%P|zbLW6ub^mvj&wkNr~IwGRv`2QP)AssO7{y(0+I*{(~|NmkWGpse67-PC7E*9G4 zFx^aZbzN-Yt-E`sbGn)Cy6$kVtFM}?JAW_R=leVVbIpB|5Gdr*-YhhgJ$9q!_?Z$wT) z?Qf2i>1>+~BAiR1i-OR}`RABc+V!_}mxZw)h9mAZLY_wt7E=CAQ;@yp4=_o4Z3jShYiqissBt%}Kw5E^* zOVUA}#ChbGDG+BF6BrOctG&ONKn?wbJ@lG<+cuO+Ed&g-HALD0wJoPN-v#OlQixV( z^^Do{%9qu!Pa@i@U<%uBR0U2%=h~?kXZ|fN-N9D?W^s{t-w81{ZHIA!`;pyW)HM3- z8Hz6Y!)Tnfg~$7U^VeXkyPZF%N^KRk`JVVJ$Q98NsxL(C^d!)YpykSUkqRZLIO^Sb zsE>ZC31ltd2(`#d*KY@^pLc)8r%-@q2U||TEPRYxW-rc)o_GR}Ly(~$^=A}Vl#QDo zTs^VBtR9?wBFY^L^d)Nk2vI^}JjdBjn}cRY6cv=Sy@5x+#|OxDO%faCWV@3$G)Lx; zd03;%xIh9442upMcR!|GBYyjJOTxV(;X+(9U$?vZEcRysasz=j%zP}gW9_*bzG+i; zH|X&};ym*^8fUQy1ELfxN7DnEAaN0rcUEI=lfjfEe*2$Csi=YU;|m{d4apt9`eI0n zd_RQQC!@$=YB))aVWrVSdr^iSB_yP(Fq(yN>)jWOWQuicN|R60e4co75I~uQ+*vFp zTGFUes&j6)nSDiux|}pUay>E>{^g<<;)rt_;DCH7uoV}&tqs^p8He2RCSU6BS!;ab zxLXEa9IRI*s2zy#S$qA>E8S_tQAogm33w8A^WcnGfZLxUGH^hW@~*F{tq`Bcb>Q4u zo{gL-kt81T8_oe^NtTWI7GjD^mD;wmQd4g|FtWRM{+bAa_NYXk>@@mN;-`w7KGkRpL`% zrq9CElO(4Ddz;XxYP7JE#ItoG;kk{AD_h0yupZlTgI%+3JMqKSiD+t8%Go4DwVK$D zB+ub9T@0aX<4-|PdK*1b`~Oy`3V-SSTWkPNko6;5`+Orx@2FYo*Pr~@yAvy6K5I5u zZa*j$H}mI)HIV4aWNUKpUSUH(V(d>W<}a=~Am-xZob0oo@k95;ZCb#U+Qcpu9xtEm zd^z7}OFccFN3|hIxac?9){d_-*oX?i5K}wzb)LRPpgpnX!uqZ5j`ez!5UO)Fo?z|h zndZiS`H$itujWYFRfnfqMmT&0cgCDsE%*-AkJj11b^lqEMCwbol4g*KjGkOvp;yj! zSd7b|y2B7&Qq!51+cN{QSA$e#B@xB_$j$WNrQ0`4EGtuZCY>mm#SEh9vqV`Ni1jzwYuD#4(gpN)UI zn|G+)b3__*x1nvDWK|UIi%u({8KGRsF#@HQ8{0kKjpgTy?vRYU19Nf$4tOlpo^Kb8 zMQJv;*_IcJN5=Ko7C>@v(KS78sy%p=?i!e#+tfkEP|n5lXH{p#an*Y+9SyD<%t^R9 z>(p&nQYrst!XY@|R4lED22T|i#ZmrEY_kHz-}hwp$QV9%9Q>F?ZhaP;v5(FP$QQFoGK@S9W`u%_$)*k9h9J!!VV5`|HNd3q| zBgm5kRK@}o7H<5u1EAu#Uhe0cx4G->zVdKD9)1EpSR5YJIjR&^AAw9CE$}=6Wj#Wx z6tF2NYP!&K&{VuIOV-uJ@_@4cVywfno^CCSu8NXr$DOWf9Q3+*oYX4Qm_=W978$Kx z{UsC2b_hbRw{jtWU;%S6=1MM-bZtt@%}vK|DtE*4AU1(~ThQxAJypL8wfl+wb71z* zHslbB_>ormy(eH3pzs7ue8AQE&z*!xz77|3T6h(*!O#DG2s=|F*TcR&Q1HRKg?V__ zVnf9BHoN^ZG6vg|RGSrCpf8=JJxVj5AlEodfO(wopf(%Xf+rr-*ka|BT9J#A`uhGy z^MBWM)tleOc2^U%oNt8PKV$$^FP&VSd#;7bJ~Cvs?&_(g~6sN$wlY7P~@wFqqy!oRkYaHK_Jz*nlO*ZUfBpD`hqx`-dti&O3n{h z23yj4*-l%*UETzsd~tsTHiI)dTKb+-!=v{pDDQfk10V#*k;z4j6#7GQT5c<+6O|dC zf4CdX;90CME*xdjYVC!ko9Q`262~#$_o9q<~KseEfqu-xn za(_1Z7ie8+Mrd_>f<54Ybf|#+Mn)?OdC!w4K^09ea%G=uRLRPlN$ZVVM$Bw>?xU(O zywUS`>OWIE(k^qnq&2pwvB=%{F%+GzE@W?TaPi$55c&2i`xh2+A+P!R&px^=I4oN6>ek)m~BKC@bOnOmy~@VA=RsH^?;Xgh;k*qmgy-PQ(d3;ymCL~i49 zAArCFLutZ0DDQa0)$DwInpBy|`b}v6zjHy$9Kp0jyC@xJiyXFzs2c+hx> z*Bn)n=}DI>vK;@w!|||I`uUGvqY1CR??bA zN||)xbe8Xv7(9PXd0KI?vwh-7G6^FW%Zzjk@>pR9CD9cPTY#q@oj;(x5@s7{lrqX| z;PvdluB)0PoE}TvdCRxhq|tqv0q3J*5=JCPn>M3gXhVVDUOG|=xyJq0hy}t7Gy01s z`l38tJBYvy_m#?bE4+C4Kk#(#i(|)V_5cxG#~0 zFtM|CkdXJ~JG%_7H_qX8(1?TvB>h90e$zBkh@nrCjiKk6;mL*jc{^{@j_vEUaGj~` zW>{XX-38hr#duXqft+W`^ zRSFT?At+!;Gu7po)s745Mo}-%*U0`_SJ2^W@Q|05@EFgzRAuqxFKYIMGkXFk!HaqK z;2!GGbXCyd%a>(ph>3*I#_EJL25-?D{i$nj>DKW`w?TGKW<`yMJ`d_t6SNdO38=T% zLS!&xOuUA$8RI?G1Zl>&D61DSP}Z5FQEJ-;bjvFr^!WwqRreWh2N-kjip8c7tF}o| zwJUd42AeAbT(@kOk6e0Ss|yz8hTcsC$kJ)u9mrSNov!gzfw-q~@hWjHA#U$)tIv<~1yI${Gs_>YH!dQ05*<(0^BErdMD*h$c+U0N{KhiD}2KI+S6K-XCQUVwK2x>o=RAlxjx$dfAw|Vej9h7xblVi zg?u@mZ$%Fqx~w0>DKYy%doGJG!r3`70gIAuz7*^&P&o-fXfx)-0?$!A`Jw4oc1TsR zXb!z`xhHvc*Vmy`NP>;_54CraSg(i`D*fgD3!BSQ{=B$UkpkIk?oLH&W162mC8om0 zjGMQOagq0hn;5wAM&z>zA7}09KwIZ&qMfygoFWSChi&r9?Gp`OHJzSfpRLdP6R6K` z^=JhiKQSOHjuX{MW)S-Y&P>YJt_#tftm^alvpJRvQ66qQ8nd{fU+|h;_HQ@3&J7` zJyDY$^Jx#vyjH~rnR?&UoUg9WTkw#<#;4`?mU(UD2%Aht=I?_ssD>v>k-aU;<*r*1!k z0PxssGppY zBuLJkG=J0Itlx)%o>LiRn@$H(4Gt@pvD%7qVYGqESLi{*+LnPnAdhcFI%g0(rU~IE zp5|18p5FmY+84G*sWyJmpB;XkTs=SCOPXt>)s*lN-V)!xhU1h{fg(WIjaU$Uw~qN_ zaj`}=9&`Dxfu+INCUBMSrs5VhgqwP51_5;#vH#d3)dtvK|NRtxL#kcpWXR$Cfl3qP zOYENMuW)!4V;R=lW^rE}jGFsU`!IO*#a3dbhSEO6WX?+8N?AIag7JyvF(}qZovEbl9~1n>>SUGm!Xd%;`f6#fW+p> z6=%gME2Q5uZxn?eJ47%8Su%k|R)-pnytSM6s3EeLm%j)n>I&W&$gPXi__*n+S$m}T zkZUO7J#Q;%t0!pfr;t(NiW; z`r&U)XP03)Vpgb)6l}DFWnk(or48=YzHXwl%KkVVxVu)0A_I}&BOjb)9WgBiTz>6N z&G8*Zdh2mo?^H1!k{Ea^y#c5Y39Gi%2S)uV3 z1x|JT=_{OmVOg0s(e{Lz4muXDXU9RpRlMBJI*qJWS%E*2j4;a6feBKMYEu6-%yw6| zF)_UqgUVcJ-o$21E7mHmU?B)Rb)$i4|in8(TjRCTOKyi5xgj^7qAOEqw5C zc?Fpo?^h=QciF+sqTlXWd|1(9y%iPCW*8zu;UC$hmPk@ z?%hP+-&KykwFV+8xfyof)K>y*>bnmb_2(!n43on%e~P(hs2v<`E}m`fKq@gOO;uY8 z6*@=9<5$%uWMUNs?GVsXt}YlcKkrxuNlxtjiT!D|Y3>g2IKt{i{>QD{jS?=f^~@x+ zy603vHys^QO)s1&THF%XFkKn^gRytL?;zv;p*Zv#lY`K$PZOu?w|Qp7Ur~$H@(O;* z8#31P(2Q&C-Q}ws85-Y_ng+G>vUd)Esm^+gu`)-FC$nnS4q%|PJUiP0G}t)1B8h>V za@Wo0t0#thzc#1fca8#$*JpCS#`dWkzLx{iqFoWawV6k?*+17zJ3MjtQEx!o|JNcagtnkCj9+hL49-QIF&<)1wG3V?d7_T*OsS88V^ z_xxdvk9gw%Q!y8{(Ra``bWW?Kz1bUwzoNiKL9f+@5=!t46lm{Mr45}6hdPy?#66hKS=0>YnM1W-qvz=+p!fthX;t;#kNWrpWhn`lVfkUdgTU-SF^o;Lzw|~T=I9w z1j2_jb)cQW*{BBaly3TW2P=e9ojKMMKqDivfRkACUGLPp^u;XEX+Mi>~uNJXS zd6pBm0z>hCaDMy+lZxF=1z${5Z=ORYvCNJP1uwuGQ1+&OsJN8dgc+M3bZCu?H#`D^ z?iUTWyf*8S$I-!_eV2<1sz5gIyDOFn2wtubWaJl#l5| zfcHq+xBM7Nx1c^2OYJ8b`7*x&wINs$PJ1|@)ag4j7AbG|++y^YwPlcJ{lO(x2R|>* zSgXzM7URu*czXObxYFi4nzH-BN=tT)n9EsiXb)sy(KUXtw^aB^308WKao@az1>;;A zW~Qw3GzrY8J9(_4QUPeyJyb~Rbo*paA3Kgu_N`DpKCezH1Zs)b=uJhPE(m#V$02i+ zkfEtiyJ4gKyw^+Z%zOG;m<=(T_*fpX^f$-z6=kTqx_XsL9H?5GEmuXJ8wR(+qpcOo zKMH^4?mNyC=1UZ1CkU}x{VsZ=2^Bqmx$AwIIH+G2+&@dzm+fqz6s^$#Hzc~DJmucK z8ZSRM;(VFTw^AZxGe=jKKg8$+ywk>B&gN<}wVyYO84s43R`$E$A`g@v6UfHx4^%k=&9 z4UM0;s*M2z7sg_*Fz@@~{3H?qc0}CWLFn2F9!Nr1YI|Ee5`I}QI(j`0t zHLNLJiZaE#kPTv*EpPj}ixEP9Te$6`&<_t; zbV<%9V!k^CB|Q2=H9GCdm(fx!2+poAp0Rd)ut{g}C9NNa^=LN=3C`&{;`bZB!SORs z(5GQz*d>aq2}z8yt`DO)!$#EZj;*G@@i+)XI@zf$C&Ehq!QCD)ki0yrduK#8Y8#Q< zHhW#f7Sy!9g@2az0T2pIkQdSoMOo7y`L7=s&9Q%FX|F2k(kPd8g61MIQP_Tix{7 z{JZaR^ra(hT}E4RxbNBA>7031q(NJI!%nh2E_WrhbGl{{w&L!H8`jGBOVuf*GknnR z_)iYGs|H2Yi(+?IjTYUJqPt>dIWBAIk1JZ9+9FR9VL_NO2ZXRy?Zt5cUI(Nn$(8_l z^m5YOHJ?MT#>>kzZINMR6Wx%+iAl?VaxV7Rg|SGe(_G09udIdpjo2w1$YCV*yIv z&s8%!xw?RU58E&hWV-1T?;4ymwc)mgT{g`oVAcS>M0(4 z-S62h8Z_sh`AcY{9<{x&;8g5grJ&X0riKJQTXBbS{OWSq|Yw%hPhrcyB{=B($Y^@})s1 zgAaE}M%A_jXu(!>gs?vfr@`rmWf+CNHpJFCb79WI%bDFw>Zx@=CIE>>Qq9O&MZ?@; z=ziuLRx-bP!0~r`zLWr=z2dQ7r8-+Vg%K72RQP!Jp!#L8)N>#bpL5Cjd_Gz4@~rRC zRdW|BfJNqgMtjfb;*YJ9AG}Kn2$=|mklEtQ5o(p4Z-p&G1({WM?N?w74us)vfsGI^ z!nIyM+k3~;!LPHQbfvnoC?4)hw99a?{{27zC;b%;V?5pgv*&XQDVF@*Wd5D3WERJ+ z-OAvNna{#3JgjCf-#{>fHEHUUYE15rNFvU;)?5AojBFEU%{LUU8~J{M?xxq0S^_HC zU`9Q+7u^cJP0SuxAXeR{B+%f7x)Ekz%I%(CN((H7wSZ<-drO2RGoK~9MlZ_qJ;uWI zxdIfI+WP8K9TsK8vx^_;qjFnwwmQZyl3{Dnfs~9sV`@y4%)=a8pMHz3bQa&TIBrK6 zd&8&-zz6{lR^^}?qDi^?piMzG7mt3T1@_I?pz{4Quedt$krqQry;EB@fIIl=l<&3` z4Z4~x&3;1r@cQ6PhiF>K5`M+=-1Yx&dZ{zRJY!q|6aN_Kfm-3+awJ+X#td_gCh}vNQEtM*1<%L9742wA;WZH3U4( zo#@xt^;YaK{VOSC30MS508SZjbIm6zxmRqJ>HY|t-|hK*5GU``grc|vz}H`c-AXQP z$sfC0kc%037`+@4>;i~))`<<5Dj6nkn#`pD0+)~sZkoymLk%r6GG0RToq~0HlbgBO zn&jk$y|Qah)nf2*%og5<|Kp+;Cn!#FfGtR?u+}FxwfJv}`5tl;Aqt7N(c3s2E2Th9 z!&iY9%Kf;i5l~} ziU}4aV6M;Nb5Z7AZC1GMPo0+S#2= zbV2^*6=v`5*wgqox05B4lLc<&fuC9R^LGx21CT*T{fn|5f6EwVP@YWsUEkG+K$BeB zaP52S=pcSTAyX1NrUlEFxKvU^0Jfn z=a_PYGenOuHv#dXhm@U=?baVCJ-gBMw_D} znjU8SvH`#+K(A4|Hd5cxTMl5Pj}2wD_<-EVPUycB#zL6}AGgIaU^V*}v$xB+C5E|O zi6s=0*1m1W1ug7Fyn9{!3Oj%v{5t0?l|&#jx?n8zH+_`!)f7gU)Bm&5m?cfD)vX86+Njb9xbc5>~((AMG$aH^uvNxN;4YsoB3+Gv_$)W6wW3&Z8ynuSZ#!iP2`g{v>^0oU8HGE^hci1MJ?THx5}? z;2zMa@*#E>xO~Xj_P=|}9MPscD$$8)LDQZf5LF>56lk^{OyJyf=wrk<^yv4RdGWT(r?V3?kqMVYY=QBpXri*S)t00Qx`hC~DWKx0A7L1c_)JdH# zMZw%D&In}Sf5(-yZQEnOilqd8p38FJph|}>u$U7y#|kWgwwHpWKwkX*)>DrPb5QeCy7aSX1Ho56lu&e9w?BL?bj7zDQ9wlr1x)QBIX z3!7-CTz3SeJH~Vf3!Y$YFDV1m-HCd)D1F)?0;H0N!M9B|5T_9O_U_lqPKA2Vkk>8_ zzqqqhchciaWGBoVRxoOCKRSYaHL{`az&i4E@_if8d&Qj&Q*BcExMkD%yponxgzEIWs&$lkFL^odk-6NDN^ubA;wGe1vVgfX}d*)T< zQX!qh=w8+{@DkEc4UY+$rp&SD`AVvF^x8=RNSIZgR5Vz2C4ALSDPKKa0t_ukh*xKP zThHY-{nH?SUS4YogX5%#>Sq|zWwy+cRlIO#|6dAK!Hlv-NdHxm*>^WSlzz}`Oyzoq?{*vc}?V+yUFr8&iX>1To_H&Vl~rz z(Xzn`HctTFyjc3n=a8gRf5w{+?C!#PH?|x|Sq^_T$OErH{EP zQ5{b~V=pA)bdC6D-`N65hESa9GV8UrTnxJnja$=TV%`i15JD%=%~@%fM7uzU5r>ht?6zOAi{c9hX0OKJ#XXaFS}a zfHG`InnH8B>osN7cld?6pW2;-h7gKJNvF)`ecM{eD&*3GkHLRiAYe_=fI89^U$TujPfSxfsen=Q`AnIwr~- zTbFG);37Uyl_t3sHJ2czxx|Ysf7INRhLO!*r>aSVs-d-=Il;QpL-Qzie2dlkGKw4n|5@t*N;RyQJ~)#TbFpj>v5Oul3D!L|EE7`-tdC}f!8jXqePQIuUPyE z*gnJs4pzP~LFg2v$!N$@1wh7EN{A6aX`r(>J(e}X!)fjFJ ziIYNR_oC3tJe#d%JM?sh`zxSEaLZj3r3IUjAG!muTVjdl=X<`lx-IR802X~|@V@G= z%CqW2y>q}-Yi#(GM>0xrNLfXzitNMg3UjT)kdx&L`d9w<^bBmhqIMOO+ekpw}JvC zyqtKJAv&Fp3y_yp;LBt+6-o~#1{I-_KG&olG@l06Ocis{ z6I4>5GRTfW@fGJut{JUScyn6uHnP5N?EiB~Z%MFg7XV1VEYPO!)#VCl+V*Bwm9E{p zdcuh22D{%JgwCna3M3!vUeRhXnSWsF2WGxtSYvne5ww7&QEx1^VF$BF{(de1-287^ zxEck@hH2l#3j}m)!ZOFsU=73I$wl9kJXD!WwC z%{i_+7v6OxbrZ5u4a6X02b;fcz?Zil#q>|7h>%X{y&1sUkyE{9mB%z?J=M?2NRM>g zpgQ{~vQ6zX8|P^0{u8nY2zPsBj+(~_O`cq+5v~s~3o@xJlj@k7fwBZhSW)o5yVfqd zx44jh{`R?EajZwnH>64~Pjw$8D<mcPwHUshs0UbCvE_O)C&=0I}Q!!bfR zH=LRs8P)$VpYaSxFo97f3vJYUZq}J)bI|^vni`wW8iz^eUT&0+1x4AZQ`|x|5xMOF z<@zPmmCs$*MgepA8{SiPm{v=Zww-CZ>Hy3Ycxj5NXz}7|M3G)?4$GHRfGAdbVR*9vh}~WGP;A?UXM2_Q>hQr0beo#)~p~PveN9 z>dm)RL>dGUeQYZNf9F@v;?CI*&|v`g=7K-D`{zMbV@LIt1z3rxHc2z^k4b-)Q4+LW>6UzjI{3Fxc?|EgdUcsvoCf9Pf|l?DVsRml z)zLwjC>J-^6yz&CXt?A@Qw>o1Tym>l7`zXo`1SOT^@7cSo?(aJO_h>;?yg&L1<^>B z2LkV@v~Y@``*WU~u$rHp{cW#E>Y5N!PLrjd$+t`X1t!k}fr5>Fl|$1;7&3K*8Qo^g zwe1pM8iAm#vTux^&vl+3=H0oWGUzhes*)~`L@SmrG>_B1ejh9FdQ-=r|D4wqo08E|BB}KSg@dO7+RbzJF zVtn=d&rYJxnN^{Ppf0!UMHh{W*lnlqPRx65!KHsInNvU6%nVdX`E20Lzv@v`z2NtX zLHe{OSyVD)6r#`s2S@DuJ5LLGTY+=tE1e@&0;pDSkub2@tgZv#W;d4HIB7&oQKctP z%Tb;zkfMCp8t!hrSGaf(h5qI2Wo7lC!m!~pUL3Jni%jWtx}u-yO5l=}ekmc1u^Q)? z3M}$xgoK$TQeU?h(V`O{n=`TBvq51h_-}6Ou-sJ%E=u3BjdUR8=<^)NHJEa#qrw#M zzwZ>5AB|0O)cLIdz`g<3D(lvMZtD%aJti!~WptfV+vRs ziV~j=ECQ5KsELL2E#|cECoVKK?|zL+7Kk`bdJS0g+i@km{qh9>NsB6QQ7jqtNytoO zDLv6B+icFfRhWYE`1sURY2;#|wYTB!x`XMl&DH!ZXcrRwUm|To41PX|`gt~P?^Mc1 z9{I?pO0dqL!jS}dmTMaFbQ<$c(Cj}U?6;&(0g5_o%9{t`-H$Bs#zaV5%qXq_BmE+%Qq_}2U+ng)*rnKFzuQOq_7wjJmBGsOfuYWgP`L;1%)+tzC1}+pH94DR$=NjXt*VUS`bqn6@ zI(p6HvtSo(KxUCptk-k%pcbGqw7E+GKQwDQdqT+(9;o^%u7rgRXbb^gH9RdbJPjoO z;%gz1ZEahSLWRi*xLddd)hv|;$-w5vkxTDZA#mig^@WM-Q`nj%ZUnjPoD7x);)#OZ zm!kyr)pwf>d;dkcp=h{<0qrfFSlUyEKR>ugf%Ysgq+>6`uIy%0c8#lhJV{hb~Awb$-^3m2D$M=2i_24FpLJ8L0e5`P|%r$_V&;DpfVQ&&wMG8e` zCTH#$`6ouh7iT25Jx(_}+gCtVeO|4tSU7GORUwZdJxjo94&6~iQS;~`?23Jf*i@I~ zf4tuVPgt2OT!wBcpMynK_SBQ-+4Aa72m4$G(%hH%QeBg05_Wj+=IOMIR5c^)+Vr8* z3bnGw`_4u1dH9{d;jm28^Al^Wbj>D?M4QBlbWzC9CO~M(C$2({NALWV<5F6{>-<8e zaYsS#V0i8ZAe{JjRB$v{eE@2KSK+>9I`+O4MrCYjy;8;1Ltg=n(x^x2hg^u`%s&i< z0$Lb9lnBq5UP@=|p_10;?YiBF7FL7K>S^Pqn@Tj%9p9$<6>Jb|c<~KTAxfHJw+24C zdR#`89tbK+^uUZh|GBe~c0aWyc~p^|3y{l}6up9yh~b0n2Mgnigl4Pm4slQt;5|Wj z!C@Sln>&<5_UAp!gEPV1#V<=aZAc$Svzd?b29&P(&5hGJ;0M>&%!bK4dO~+&Mibj@ z2^2Hk18L$Fxx~)?9mEKon5A6C{|!(9|`x`yJnx z3Ry`8AX!OHkR!4yEpOqw%DzprP!gcT!=r>LkyaTL{j5}p4I&$eK?P)oE9wJ4iWcDc9m)8=(ZaSVN{e~v>} zi9o{>j22#4Zr^)`zh}@bd!_8HPYBapQ2h^wow=`=y=8t(Z@$-=>=3hTuKRYQE8=3e zAeMG-d)SzM_29+yPsOE2fJrV#qc3T~Ao!5E=cs)H;Q7mQ4Wz{qv8Iri@!R&ttQK(Pa?~ck|`Ob4qPOvgh!< ze*cE*t~Hs1zVr9tGC~uAZ=gVQ+DE}EM~*38z@aMKSAGjPRAk~b&r|mb&Msh2^dvf$ z7*mq}xm0s);#%$Ir{BDirGB{KV_{p~vHpDh2cNsT@BZc0)Nv{t$yzKtb?NTx%G$tq zv%ecvH^7Rg~fG2TPc1%?E!)i^P_fIK>)xM3;1jB*df7g5005~h4G|Dm`y;1t^ zlVlc;5uQ3iryLQK@j*n5UC?qA7DzmA{=uJ+Gr{H!o3t zUb_`l*WIOD!kYVL6=z&RU#uhM#LrnaTe{HhnF^K$)r|P@U@1}7} z#av%O_}NlPVLc_Iia2rb(+Jq>iQrJS@)~e=8u8u)yOJ?xku*UP7qRklU*%yuc9b>F zw6%{=%2j~WBAUtpLAL%srWC4ivXcH^n53k`l&{9r|DQ(f`}bAb4=r#S(F`0SJNCWa z>K9R0$MP*TmkCs~x>@LGkN%2p2ZJwi7?NZ(fb|A_uL)*}KK}If2(TEy(93<>ZZV)0 zAqMr>N-)l`!nG_sor88Jjokn68vzMN5Bu9l^UKa>r123ak_XD!6AP5fy0~tQ&(R$6 znUs0JYi>h-plq(w&t?nkXZtXP>j?AoM<&OxqlcckVM(k0SSScTkH}8F@$V@GM~$ns z9wB*~4vRa-J-O6yxB1_C5*-iF(H zjBUT0b-r?4;i(mkvfO{17bT$avl=2}1N zR&%^|_y=YOtPp4#747zzz}V>cS@MCr9f4d_ z@;tN(?-|7TjBT_RcMX99k#2|JHQHlUA8uU`wtE7Fcc!O5+UCoJpRfW7;FmwZYHkzB z_#lyQ`~8ef-D2=ql@&?A_X;E*#jR)zuK$9VtnA`ojlZ$f#@t-CU<`>z)sI6aM~_M~ zP^MNLKO|B8`c{Bv4Vqrtf1o2(#rp2=8iT|$6KuTlhXaiG z+r_E_aJuAZ;8(|_61bT62|0BYL?x4=^pA+WZ*YhuH#w2Qw89P^`0Q$>fO#m$@08U9 z1dhcB6rT#s0$mi7iKfCQK%xO!kO3%*Ss_}ZMH7wpr|qR6bGbbV>`x)@aToT^-A$$x zWf%02!Wtc+{v1ylLM5B4m}sw>mJHA*`xJYejBfpAtEsM&<1~%|cQzdY{u&}*6$NeS zZfjqkFNK@oP@3kq%dCnsFiSnHA@xfkQ$1PnTp;*-9N5a-O|pLMJ8Z&eQ^(M2y5Xe@ z{_?nXkx>|c#Q669!T62p0x8IyZ+Ad$@pJb&fdx3+NB|_7aYOGVbkdEsSONx3YX;UO zBXz6l0%do)`fK8Fn% zPav|ekrwA+e*;XBe}5?-ereXXHss`Byp|{*6OfqJ+|qwAR~CzfN+>5`d(7iA2Tl4O z>&-i}d6A|zX@Bun5W?5FV=KM#n~mcolH6Fdm%&=tdm%L`fQhzg=zz|C?na56fPT$LyPG~!3Oowdf~mi2K&tgxhIYf;@U^Vz%J45#tn^_cP?U5MNa^<&h#*Vk1?*(_aG{-g%hp! z#DSWJ>4VO2L6Ae3%9!F?#??Y>;D8FfLWFtC z-^~E!19(?|G)97smGfW?016;VaJZ#GIM?5?f7edLo)i_0L{{CZFFL zaug|u#=_lQj3O9%_Tq(^_$BCSu;1v>r2>}&VFVp**HCLynRvo<`g4dMOcOeNWuGGs zg?df;d$v?maf3il99~tQeg;}_DILOBdarjXC}h(&560nGqXV|bp1u?3ZkN9e5Q7esuYU&t zrx_%OxMMxW?idPZUOQ0UePjATflg9+`5w=_Yywk<#dILF%=z}px;$xEOz0Zx3GWps zHHnWkNIu(p#I3e`FGYS@EM630|3ClCi_DOV{=Zys>h2w&QM?ckQw;QJL2)%DaWy_W z>vcUDtbrYXi!5h^LZl^?7-^)2W(etS7`j1*?tIVa|9#F!xO4Bm=bqSm zpS9LztEKOyX?QF4WM0v|MYyhP`m4Lsy8y)kr^%hMd|}~sg8oURb~wP5#Nh=(bkHw? z4%w#3IYDea{X$vna3|=BcwtYq{~a5cxetK^OTYgFh~%{H&YJlL*4-G;-9`=sEMh?6 zuYNQ}a=D*uN(Ro%!lqzsuJ2Bw9hP0@({{L2 zWvgtYz2G`f#|LZCJce@oyrP|D#bFs3jh*onJAE{#7P_&9+>R$ZhYqLd=8sRU7FPg9 zG`RG|&^Go$zqQM)X9vcto}hM$h=Q`dKSkno9;!(^)!(bNxabk;{EM)T>hDcgnYy+A zPMo{KrhlYwlK*`TN#Li-jtlBx4PcqIBdQMNK`%2leH!hYDIsFEzYRfjEqxYzOcWh8 zhX)_PCxkeLl5hIU(;WBv_7C_R=96c6I4uRfsE6Xp2u!IotR>|)Daj)4?u7k$f z&*y&C5)M6UTHoM*^!#6|RO)Tm#Ah~k$Eki!p?$qCd_Vs_+=bg?aL`Y{QAWjcBRBsf z>nlY}*`2fGxqf17Bl$VEzi-vyv0++^elb^Lu7k$tZ` z!!tMF?{u#yb${P}x+?n3U*vwED8s^$y_~B-1yKo^;va5D0v(VY1+Bv)*KSX(-W90S z5Al&eG+K#X?Es_{8cLOQcID6TlEoLn3UE}}P3Qj(W6;5Tl}_`o*A^f81HxFtC~v9t zuiS3byIP;ykR9rNGd3IN;O44~mC4vu>J#@dB$N#J~611LmEkxT#w z(dIwph_bOww}DZDANh^QaRsTXjMtuQ4wF?uLd^0kcOsTohMcCSqvn+CvAmn|suB%sOsF?YA=WbE?OF2Je}qscL!YOn$l32f%hW+j-@*&$#QfC4j4RFUtQMgX2^H%1R6 z$;6_d>k4e#8sPVj@)fQCR&JSBC5}^f_1Eha()J&}s9|f)zZAM%Gd46{9F!Lj^kBAB z=tP8!$m)5dmS0>LUcKiZPj-1byy~Zgn>R!II(Pn?wHw{(m0e05BA3dAhoQHqm3SmW z8SO=YG=QQ%A`O78u>2tR5>#aXRyO7$)`k~hI0DFiNN#0jmxZ@lN|Sf>++hZO_tRFb zI)R+w(Rm&>*n?vKZ2ocpnJ(!ghLS*9`N-eXs+z1SmuwcEV`nbiXgrJpj;*6x5KbCZ z9SE zB1o5`Tk&plLZs2@@y5GeFQ2$hxR<|2*J#3mb!5D+bwtc19%R=QA2{BSw@Ox1$kY`( zm5C;Dbr>4k~s^zq{11%_e7_nIzmdtxKZosrH|sL}e@T zjQlY`_s}3tV5eXxl5UUI3zk`w{4(_Ozilc@SK6%cu+9)5Aggqj;++j;A)a@nhQLFg zjW<|`cpL6hJzF_p_dEm#Rf*R$k!#zUu1_;%AQ1RV(ja}x`@;d}aOc!Y#7s>!zR!DV z2|Ka6+z&%9(1lTAB6;F^XFtXgS1AQZzp*kT(pxo`)27M z6YjSJuI_>S;c*PP=Xb~5U@_Ykvqh1*&1>ngJ?iZNE-ZS&gwsi|dkuIwRDEGPRE*Cc z68o1wpuR}v>o3kO^Hhga8aM(nNRCSX{BQ;PC-8ku8}(YMctyzhbnrqXS~DA62q1NV z?K}UV0LALH)QQ9IGmah@?=4*GwAn2zvaS9UtJ3`Hg~fR>A`0sfsaeY+(ggkHAlR(HZCYp!n}SKie&{?JH@_y0YFsI4Xh?xm$?bVp5d|t zW3PDAXN)U87PfAYN)Q347cgvE9_|KR2tQS4N;wBbUBjhb9=$~10L@#hxMJ}0j9=6w zXQQn?0DfeHYx|me+KJcR3;Q!|t9eo44}stuS+_y;2{u}~#?EM$nwV}O_b=4{nqaL-2 z7UAh3(;uG7Mr(3(y?z@0EfKu|FnQx4L@|DHp!$Q2tiG&cJ z(XM2oA-{wRHa>7^Rq(bcAoons`5}f?Khn4WFZa{p4)JnIS|lr-%~=8eKIKGe&jyxS zY1s5`8348e&=l_(PL8Cvis#9AVs{^D{a0%rwZH6?-9Q@Sno3P6xBj?ye+2co5n*f3#A+^C-E%l@4nBBpwt>8zqtxWM^#mAe< z$+kE#j0GaesiD#T&L?Mg_Y?3wMWvQWjF(qe7tGRDU3F|fgXpOW$U97J*TFP|9XTGu zo_GX5qHa>}CN!v>SbBl|Qz0+}$3DPn?(72o42c10`ytb&Z4nAzYvzPN`ZExCX4VW3 zq0b|K4}dfz)UvAn3B$Z4O^4})w{jm#et);&#j_vMCvvi??{TMwF0F`a>6SUoOZwM_ zb?8U-|75w`Rr)Y^)t`Aq)*Nml@mr;W= zvl#ZtEAgoZzz_1jrhRHRd0qdT6XP+1cKTX#%V;CK%C)YU0W%#gGjp%fRQ&m+%{LD3 zVfQt|Yox!K$AOk;a*)UGjjgiUJS>!s_~b;FdvSiCxAEl=<~c7%sx}f1s&rPv6I|vM zn_qS5bk3%7?XI9iQc>D3k_}RKJ!&m;BFo+E}%P4dQw(jmO|*|dLw1%Z~uc=yarpPN#n>B zuU2D~%}uFhz_8aXI_PI2p8c=nyweY&hLSl_Db)+0qCk*T7A>^>voD{#Bpi6o&~|ns zbDr0hhmf^PT{i2Tr-PiZ0Etn*Yq}MIf~(`%(a^UiQxz9}Pp)ij?L>}=N`F<%Aot$66*e4R zMeiQ&h}pqJ>N*8h3j{4^Q;gJ66u#r$OKU3n%4`+Y`JEH0#t#)(>Y$ZCd*GiKQH)0D$xEq!8v*vl z%(3$~ABr(t$I!d)jD8$Pj7B6|if(FP-xo|=nd65-@?T6WZgi_+ca^yOkI zYeFU8ceiG14cIo#FV6A3wm5U>>3FyBs(tm-e_N&R`zfP(xC_>B9Za0> zC^m+s75r&Kr8hlZ<{%A&SZEyPo^QYRS)^Bs{yit)?bf z4_Hr7;+2upu#>tPJwx-c(d!M)$Ms@i9OP9|>Y;&#Ixc!u%!kKb{>y3!*HS1W z|HBlq-9LH#-(!f4c+RHoiCt-04V=ANrQ>N5J6N4oSWMO^F8a}u_vDg(*4|+?I`zHb zXSK#+oewXs8G;s>BBTmp{_!Qtqo>coo;4uEJy!R0iL5orw-riy#ipqh7}@s!0%oX3OZ&+eXl20p{j!Q%KvgXYa-6qntm`2rE4ue4s@Mk7(m z-9)v|O|^5loWu%IPc|L?^x*`%?2M*26KpM<(SW_zRNqN8@t4V-M9GBDBcaqkc54sU z@oE?S)@Y zt2MO`wI5FP6$%S6b?6>WeWU= zGB09KDroOHQ7>nA>UdYww(;YgSa%-orpIy>tXu~t--n1_(D*MFW!`T*UMQs{+FA`8 zE*L`Hvh#QwxEnJ3I7m%_r^=~C4Of9U>tLusT+iAp@E04Vnfk|@E4+Ts@wPteMB?D( z*D59FyA%Q|HkXk($Z8QjKLO#&%G$~kDFt_rr(b8%@x6V8XXz$Z?(TGU#d52sp-f<2)1gC?PsK^j1p)6reT zy@r=8;x8%U$Z|LY1od~WZDraPqGeL9Tk=(JXnHz zY-rIC>@BJh!R)k(rzSSck?+jl%|VD6Jj|so6~CtpNgCw$ZtS%(h@!qxr8NxQ4Jzbh z4Q!&&iAn9NkeHNw(ruR#L^9VkSR9C&y4r7R->Fr2=y)2*k8({>Q)Mv7s?as~=3mi? zY_%mBwi$Mh8n@4Hbzkq%e<~dp27rEIwO+M{?oaWu+|L~L&1yzPQp;o7XftPc;g(mM z7iZ(UVVHPGp5;9H{W}hhLa@#x1P!**%V-MRZxT8#baCyK*@v>7%RfyT^(QA&R|IBh;z1;3Qxbu)6bb}&l#>BzqS5l z_k|PnZMrQ2E2d&@R>yAZuoPAC%dXDG43=P598riWLiHBx-Qt{j?DCsk^u=a=EWIn%^8lLd$B1<$mkt?$^5Es8Yyy}=D9UdlG zP>U;ahC?alx7@ZZ{cfs{<{;euWbRm%f>yw%Vg!SYnzGMD^&tO*Hz9W8T=n^^b*;jh zl{GSX+-7zdkDPosZYKG9TdmsxQ(^6Ad70tXptb)wda0Qb#EvPx5%?V9#PBzZ55-1` ztiG}AvF2>3;fLmzzdj%b^m_a0FP&GnZQc#bRP_ESfGoe<#@yWV%o5%4FPM06^br0b zr|?IwPcE zrq1B9BnqWb;bS~|C2>U)xH?pPHC@Uaa$kzB+*MpOwpL@7#s9@<;^L%p(qoCN>=|0o zJ9I?8Iv1$I8ZlEi?R0JBc$@HU9t!o=jCb^O$h!(COqM3B>(EVh9*^m~HH+f+5Ja*>JFmGZb=FTzS^I%`p4P1zMXPX z4>hq@`|;j!{fJ@KZ?zT^vm}j5gvl-7Ro+R;#B)z~-tsrjZG%rO+ucH0VZr2A9@UBE zbALPOv>)_?Ygg#g8L@gEnU^MJr%IborHbyV^r+b~U|dO0mNq&uAZRuQg5vPNII3sW|$q`#u{{06`9sQ#$mCa2~}>?PQ> zyZv=ZEqArjYR0=%XCz|jSpKy$|F<51bb8DYU4+ty9?z~ZhFWtu1&Z{P5s`To?Vr?dEuPY zGL2cJjp^f^R-xm(VfRNVibh7T9F{9|zyJS55G#9x6z8aqM^w=L>1OzJ)CJdxb7V%)B2esEzjgQzl^z`Jp|toAxv#EF z5BR%;BcJbku2dM}lb5A3(nhdKUZF5)e9GmT$vkqhrq%m7qml1sge#CHV#7~b5A8-$ z;;-Jjx3{W^I_6iavQ2EKKgo1@s7&9!WYv~vyyGnNwKZ?My3nn1vL}=5Y)N60s_c7J z(Hr59M=nvTlZSSHM+n$v?7RZVwO3zB5A?|PZt~&7?f@O&yTGqjhBwl7Bf(ih(wF)* zkMKtvZQ!>~ETZAuws za}W@J^`|lhb?vH^tKP)_xK@5zs~`vndCUHGEfIsQDVxaQ$NK_QH9yfo<6J;tgKlqa zDpyH)CaTabd20p;u14`MTjv-SGFh1ET(CLotHSWobzyT3F4rEsc}f?V)y_VcU>$7x zj}V~P&~3SP1m_BFBo5iXI{$MIlMvro`0tRwI=jA5a!l9ewYmGtH(e|Vw;2%Ug4t(; zEYNRGnyJ3Bhw%${%BM#)nL)|ZlFc~V;FtIw9V=v>?Yo<`2lmbAe?ZXn;%dJeg$*l9 zDH6OK&b4dW@F7iDTuX-?y&W0Bw}~%v=h^K z^%6k0K|`=(Mo0(f=b(L;X3ST(G;C&P)gfq-wK9+F8fBEVLu;S|e}C+I44RZOh-~5y z^ufU)Gpnp;_QL$|-HT?6Ph`kK)!zF%E4bwy|Jh&%LLk9>+cfM*j9vv2B&pb`G`#ji zP*Fl{g=zlo<9@<_k@x%SX>b7iCD5DoNoiZ}vg#wC=)2vxoe1$5jJXGSt*bq7&dcfB zIM+jM-UKDOm4F42)Vf)D1fFeD)aY@iWFd&YZg{nKuVg)Ms`^dE3*6g~nmE!FlgMPP zM=DPCYO?V2X#wW3r~cMPzlExK#cmub*c7IJA$$%UC$Z0$&%uo#kUgFXyfAdxa{>$p zKv6mD_rm9{5L;3m-=Bv+0;etB0Flr>_2RzRcUwfTA~>WTV2GLq_A|D*6Z&D$Y#*Jb zR`xhkCo*Yu-N`SLHicM0=8dAWb5ZpToVP;redh1`6vPxJwg|WCh`eF#&aEz3t#_Tm z6kJ`zqIL2^TLAS;_(t`&5OWX&O7D4e8>t zt{)gG#xZ0zY5A%h`aFtcLN+IlY*I=M3;N(NpnF>;sA3Z9L@$Vmfa<%B&|;$bYL?}Z zgGoJ1@oO)X+CU%uKnUa9|7ZYzW3x3EuxdaC1l;aI)BL0vjw{Y~`CLF9Jao zfS|P3*&&MnXfQOT7m;7Exg-S0D37x~a~-oBjhz4lC2>kk52tOMRGfRl*;Y?mOOLKc zQbd$AS1~tiuGKg3Pz?Kg;B?k-cjzQdy*;M#&<1CH+34&_&9l_lCdzv*ZYn+#|5Q_u z@@bALF|A`Q+f4IcJ56r?!??j?-zDNgH{LXAr2bKbz4#N0kg{#jjFhPbb5vMAoc1R0!ebv_!t=W z+7EA+98Z2YQ`bNyYC-`1`Z$x|u%SCQm1soE;nP#}C`n_G|u&I9e?U_(TY(=(~m$CaKoCnIo}Z(wmss>>9L6VM+`f(&{qQ&XXkxP zip%gA`#yUg2qFHN6~pm9eO>GDsC<2&4rj`lY8lIc&##|O6Mj! z=UU@6a#U&nb+uyCj2TT5TrxAuBv0k`)`YR>AFBg>t`Dq})OJ=gFa&m*tQ?%VUfg9m zh$TTObjW7@u+i>h;x4Vr;CH#&s1#uF@uBnHWFN&KC^5X6$9%@R;(*d2Lh zkRj*I4NgEl&>sL(1P^E~*VkFpg#1aoP zpApF`RAD1ikEaaTY+G#a8+?D}&(6QaRhJ}iyJ{w{PVlCdsHo)J8m!ZQHu9D%7w(f2 zyE=F+{luNIHwi8c)$xSj3?WBB!UZ(?ot+tQSLp10YcfbiQvcf0o!e02YH62DHmM|C zJLM0ahO%hVp&tF1+{Z-XbD@^4$29j2; z*6T!XCXzbS^v1zeZ9>|JV1?3Q_j+*lxLHsD%B}kU;+4cERcv>dcSl}a9Jkd=xL>+w zoFQWKpR9ST8LHHMb6U|F?!cLPltX(kH=K{>45<(E#uEt}>KI(rT@<>u#I&&;N366>VzzRZdSSIS$6n`J55Ian zSP*4L@+J_}#qJM7-IY$!pBM~Wm@;s&HbGV9PkYU2c8~#?nYS1aljD*m?Rj?~@~;@k z4j`#(16Fld*E?R8^dT<4__W#h7t`M?S9Q9Noc71cDnpOnJQ?lferl~v|@!30RVRTZkJ<1 zHx?Nc=#CRX>}w*LKdyrOXouFyXclAuo42e?m-Oh(?=L)62wZ`1|EzIP`o~SU(^^tX z=BzqB7Q#Dn!?MmEw8JrODD~`$VK{xcgyh0V0j7AFstaK{qx{VK0>5176!dDrm(>kN5DcLWm?fm z(Z5--;VebZwrhB=4P@xvFn-u@BLiU2o?u&bYEfl~r1!V~PV$k;$ev%9)NA1R z^Av1Q-${o)41TT!M!3EyG7-+-k(qCLZ+b}46XC&Yz06q}nC(2ZbRrCBZK?#(W7*gw z>mTp#B5TTL)ADt-3Gi-e&n-?4j^)A~iQvf0TmaYr70l6}A0oyhWqqUJa|__1&bL4T zASsuBW=fAgzafc8DOUv%i6)lYp!{pDsXJctYjZLw%C}h zGo7cLCZ+&-UHi;0#DIbC-}eWu!Ws%d9V7>Ezj>*7FhIO>AcXyy|7?L4fy!J#mi8j{ zdyLmdgDZzZLjXn zObGNPhA5|MiY0WeKU4(&+Yz+N-m*ai&;2R=%|JzhCMa4E_Mu0loPMO0Zr-c;y{KE* zwxG!LpJ%kBm6gB*}Ynh2`R0G?rx02-3}82<(tUWFx-uD1Ut z(;V*6T8|4kL@-m&%1VRZKhw#)V{#w+$7!<cG&4Y?LmTUar` zhUhtu-db;W7&xodz-Vc__U_y<)Ma4;+frs}Jf>nlZL0bf=qgau>kUZ(P8T>ytcnor z`~{!XL-pWl!Vg4D-MsJi*zR-3Nix2ZnqR~UFWL+GIluWW`x5?Rr%^9wVNc}q49$66 zx_)r`r#2BqSNb%lsL)6=UR++fx%B%lH>&Wu%xS8L3RMFx!bb$ZhuE|qXk&MdW=H>nW zM&^G|-Z!_C=r)Y3(X1duI=Yb%>U?-D|KznEYE4zxP9Lvc+##DtH`}s0UOC~tZz?Uv zyt~U`YAwY--^~HANC$+ZSTWWE8@LA4lLhQE8aBW(y^bH*c%zDis_$Prxbpuz!lZ1T z9C%C*aU{qNdS#Ud-pKPqqW3vxuu?R>nX^HBU|#-@2f`(^xW^SFsqsi2*yAE6wFM^) z;=`SxRH=REk<+|Ulzgdf?#3qlJy+;f=9O6cSz;#Lw7R`nq@MAT)Wm>gh@Hs zH(wRwa@qJ_mRBLxP zQ}FHWiGd#HlgO`9_?v8L_;0EA)U63M=H2mF0#6Jof*X`bzHOlk#cNg9Ke-IH`x(q6 zQ8_diO0xFvD*;h%Ab3Yj1@7(1H);g9DC-Ajk{fn%!NOg9;`!scpSc{>{})`2@Sz3zjyc3(_8^a$!eeWJyF$2~FifNBK_^dx7H<8SBsjSbi%6yAIa# zuPeB3=@Eij7m%L{=$w&gxgms zOJ4Tm5i5jpq)M%Xrvt(#w9!Z`OAVqldO?30ie~S=2)j1FbuX~tWFA23k}?}%6e-s;MeA0jnO-f5Ggl?w{#bpR>4zzpMmCV% zMmj$H(wrFT(fH!FSLwO)QE@5ufWSELhCs90a%h%BA?JY>w2^oPqQyWw*AN4ucYcqB z78-J1QC!_C)d^Ds^(W@^$Vw;S1B=*TgkXMpvvU3`14RLti&vq&?@R-w(*pb9e`O^^ zfyQS4@jv`%_u7xRmNIz3_1sY~DBrkEtvHJ)y!q(g2^lpAUP|nuMq==OKK*i!y)S}h zNYrEAj`As(9=EIV`_>--1)^st^$;eNteG)<6zE)tS_O5Pv+g6{9WO)+9s0Lrn|r$g zMmq)#CWWLm!+%c>5bGXn*z*CapNEb&DJjYs9aS!_TyskSl+B*^c~7U2w!2=A&Hd*~ zC%q|OX9T%2?R!Fv{U+?2o&UsBI9N^^PPsb1)uGtA_W3rSsfik+&{5XUu>sD>93o+1 zrM1Us8pU>7Ht`+E5P?<>28k&Ws>cHY3W#GP>QAuTPY;9n3ktj~XhW5nptjJv(sDevB+l72#8v zhoyA==4X^iY7r0%%p;*&(QaA#J{Zq+7S5Rz58M#1_! zB-{8Cy8?|&KHXCo(3AB-!eDYn0Or(Cf!4-~U(nCJTrr2IaYuDv?Joc>RgS`z)X&y9 zhN>CvTWNt^IE`6FNdFlnP;D!=N{};yxU3fZQ27)%M7KLwx z&+HNcLS4B58FLs{OnMrxxf*-Y-P5F6qPbMkzjk?kj!h(@U%~3Fng^PJ7rkH!ig3Z5 zZPO)zAS6I4CR1`C8I@dfl9LtUk`*EdFk?A&g90i5={5bI5C-*6oh5x7TlT66)gr?D zUqTX!cl4w1kh{auCRmVNzDE53Jq$+Et<}s>8mgWK8jY4JGNLi(%ytJ8U9kmq%(4Wj z@3b28u=LsPzsB$tfk+4K>2=}iIrj#ZrfB@-#GF7Au)w@j1+suz;rZfT{KLpcYIwy) zSP)P`{&0Tt)jI4Ym`$>}`P9aHWDB3i*?l}qOzJLv5zm+^^gNcU@;L&bKRtCF##qYMIrY;R^%QyOd6Q}kv2_5{SS zGn;h@e442&j10z^4;caYh+Rq8+L1FR6$Uh3Ga6!l=o7TRt%;Z_^>kEz^}Qdk5n-k@ z=Pv+Z2P7nDNoc8t|MNqlT>s+JKN9R5kEJ3Ig{+6LeFIEv~kfLBuxu$rG zfFoQ2AM*Um!H`ljO|HVN(3w74YnJj+gT{b0-WEKgXHgS8Z;!49EptZbhED0$RB7$p zdWyd6{j+Ai>H1;ML9?(9#FJ1e5Itle8ASc`7*J@Ne9$$ZkoGvRI-IE8gyKTBM{hC{ z(M5(JkZj6=TkzbMb6R#(B?}lJJ#E82OG8oSOsRT(4B(@P7C|07Y$XFEDDG(oKcy`D zxgw}wUXp3O7<2yhhfbe`yA~Hox7ud5z?+L<+ULYV(X_U>54- z9(7-ukx@(s>3hx54qJXc&Bc$HHA8Fix&4|IBWi(V`dH>)FSBssNjo^v^55uI_XIq? zFjQ6`7!L~)T;kjPOFhE6;!-_7KXuEp#O1G7K2HRE9DSp278iB}V4MJ!^%y3kNSt$* zU9((J`xgZSI*^h9cFS!nj^;P8Is_pj!XckbWo^1i%7ge?9=R4yryiPZmnNm ze`L!$*^`Z6eUy*o=er@spEp^Ib&`SqWw`XylNlj`VVjb+a=B%> z9XW1Q0T5{V3Qz{*miX@b)gUWZFMOjqd5l-fFQ>3-L0CXWzexDZii8ku2?cVb+#mx2 z8fW!ib3g=G7uLXq-E;LJA;;OT0Mr*KvN{qobp!HHwdLg0Q;76=>*Eb2q-qh$J+WKNwH{%u9N6QYeZuiyxBHHrjIrK~&7zlev+$NW`z@C?<=s@ z>_bVhXyq3D2cLJW+yY{874t~@s$ zY@+ntcZ)0~582av7)sPY0W0bRy>}i&dRmWHxx)gSHmm|WSEXNd-!f7Pzt+TX?-Ta; z-zHgn#OC5}cm?$~F!c;=lk!Z_g~<2FG2s;DCrN29VF~x-Co|bUidGzIa;?VQB7(-F zDJyrd_P9{mI&kB>PD}_awxBJ$1Q&wf)?~`i2l6EBwQY&9RiyPz`|L6s_diV&K%&NP zP}0&tfmAt6#s)Pt$Geyw`I0XCixdZ0i!5h;%i0G;&N}-*z8u}4xTnctH~dzTvbsfl zbx&76&FYAiF-A~?6eb$%)poEM_!Q&VeljpzeiIXOrFo1ct86a|K~*2muIQYV9;g8{ zQ{|*tg7zzB#mArkU0LeycWofN8vXC{8=HRWlgEHAwn8cWJ^Q0TQJdmae<-g>i$sM3 zEg>7L*Q~!Pizk+vN+6QE_`h27#Ni@om`v{+TaS;{694NSeN}}ypNoyu{R<=ei>cl@ zcFn)`LJ-|oiirwx%mcyOUtfN>w*1n@9ZHKgJ`3uwZNIYs*Svgr(axVR_Bs=X?mip; zZn32<1fis7YYqO@GWtY$@91QXLo7Yn#!$$F2>4CzGc6 zdFX7>H_58EQ4RlUVGnRX9|l($8Ph_G(c_hP%))>q|u<)v;12s19i_5>OI1*2^=O^6*J_3_5LJ+ut!43zwZ9)RHi>Mtqi@WlKD~$ zI4BVl6@0||L!~iSnSi8yOHp;rxou{hTA|w*XI50t#Iq~Wt7X`saXR?X?HASObu>s5 zp{7B#K$6EA_OK{}>sK8yi62VwSsz~|w^xpSLCtM2>RY6VQbz_F7X3@+4oswf^ol1r zl$yrP8>)wd4ewEsSKWW2Y}Y5cCIr5nY5q9B!U7&2{AJpInnku&5SXsq@uQwkM;%YTVr1>@C$2(r%4b z&-b~sTWrfWzR+4Le!RdVfSPfd1~)~wc`x*+zU>BK?=ZXrRmVT}Z}>GkoqcdMhkBzyA%!5mt_N#P`1D;LER6uO}en1b_V2M%t$Dzin1_Ip3U?vkRg?JLV z8oO#B%JzN!>w~S$P*zLwC6C9vY5Ll{FE6zpKUE_McKMb|KjtowuGAf{)(?MZ9S8k* zD7kg7-oXEZHRIYtE-%%n+JA!>B8f<^rGPj-C%I?zA202__Zo568`HY+Qh1J3Iwp|W zHphHe{O=FP7dA)n4*jv25a@eKaOwt)dq5x4tUPi%=1b)Z3>vG|*}E+oc0giZpr~b< zXTSFo>TP2`*3qE}BkX?Z&F8hz7mlMn~=k^Le?f{Rd}3+G4h-n z|L!W#HncA;ggwQleg|^psBGg<-Oqdyu+%c5Rm4tT@;$$>Hb@GbE&|IkL{b}jct0^i zzL@EEocRHPHo+#>fmn)zz&k!T5arRZ+%UYX_ZbEtl#|`z@vJ+U^3Q7h4$6TF(HSj3g$l zJD#D&EWhAoZLhf@vSfh^j8Uwh#x|D<`fTwsWsKB^VB%%n#?u&F({2!S#n&n=JQKvk zRCC)f_3RPilZ?n`7ugiJV4+I)My6P7cxheCIHKatat+P1RvLAT$7tS-|J%JFu$S=$v)Qel1^LLi=b4%KX5p%Rd%>qU7r3PCXahGZe6{3RIi>ucdx(;&t{f z)uQvlnil3!q!}s1gt3;JKj9ij8XRxQQ1sJdfrCRjX}X}b$%y3FbqOX-=6APfHmWhA zFdOL|c8v=+*-ssIu=~|P9eLU5B=qZy}PS{qK3| z9}>P3a;&|6S9S&4wXr-wIQkUuF&h7l6@0m8?|QN0=<|0VfFy3dpv8x03iImt_h&7t zA`N!wRr`hAL-xha{Urwak6Q$07n9#TRnWf*x7$il;sD_w+jjkvKY%Q_U&Uz74}mf( z5IqhJU}k6z3kwdn&2s^LT})p6pB31+MoGsgDLRto0=eL0h1pWGhxf~vBs>aq`u`u$Osv?Ua5gCX0nRNBa^NXul z`u^hjHj#Po0MHP!*A_hoWj746@?H0hvg>>(9LZp89%5ZS{BMVkDdF$+9tP0Xv-82NA;WfK7zKd z{(jZswjW$z0j3xY6Y*O24Ur(f@IP5N%=gk+F=|^)k2w57c7M^O z&S5FOkRZQ3x*yqSis=qJyYvt#T2)DUcLLM!S+xpWDE?~z$kbeRCbHQ|6wI1ZnaGQ^ zEOjnJ2;>*T=!WocF*8`Qc_2IG7wY0=CDx@OIMm7Nyr zWT>iCd>`sCaP#pF$WNCE{9DB#;foGuOi!V>MP`Yd=%a@RKldshkNG#8Yg;vlPgkfJ zr2S{M@&fI){mC+PZg^*(p7^K@aPUp6Y=VJJYNe=3oj(n{PNJv6HA;kX1ZqhZe)haX z6JN-Ansr<5;7dfDeBnOwVR-)ggwngir^K^gLbMjn%{zH~a&IwFTXDJci>l3(+?E&m z4S_FGCv*S6UXTL2kBp93`G8DFJ~ zn4{Ewtmp_RVg1j3$$rxIawVqXp9}w+6PXu29_W?mdhRtH?J%ww%CdGyB1?5x@F^AYkLMn^ z%F4EZ%mu4-6ve&ywFF0@a54-eXFqcS-yf7<9JEFaMLJp{E5n03?=-iyDkJraK^Cs` z^&0UmpR)0%Gr9Csx%t@LH}!c*t&cd7#w`x+Yf`lc4FZ|Ctd97;^Z?ZoiIvUdGL7K+ zLh`kl>j*Aik4_nwOhqxpSD7(RfeR7ha&b*VFA{rQuW%^!}8fmFE(ONffEU|?T{~)$n*G#^kub$E=W;M z&%z!xJX!+A7`4r1S63Lm>E*L>_N5*J^tk7Pr0;HtKJXUY5g>7rTKV_a2wfM7mdk2; zxerhx*LACo5kll77?OM{F$b8QfFR|k`H()yef=zg5Q5|E`s9@ku6G94zx_v#JiTVE z)%G?OYC+mjXoYZOCFQ-Ow{w{mi%u(*y3|stpWJ@0SmWY_4|q~&j7DHu>656C zqQ8%ptqwymBFQ2iiPy@4O*>N?-fu4E@&|Q?C{`8Un^k`ZA)I{G<5`=%2bR%1pU@sc z+3L|-9lvi`Irs~Hzx2QHzqFT8d=e{E~GrMWa*jO$;)He?H}B(;>2 z@CxPRxjYH13`)cD#(ay_*t&A}o0081y^ITQ9~-YN!|KviZHJ=xj%pNNF{hW$SKewB zq8?gm!?VA`zy;mt+o`ie4Sz|T+pYZ#L9c!kNP3F>jjaPG)_Kl@pV`PO3qK|e7-JPwqE|rpuV_WMFBwQ1>mCgKjasWz6q7Iyusr>Er!{cjly-ITKd0+%G;RQ`Ez?#S#fcR9^oc!45{5$e1elj~@drM6Aj|Sjy>}%X8;`c^~<#LFaE>< z>%a*@n!f?4B=Xyq^XDy1Th4Tw71&Pz&se1m-i=IHD3bGC`_x z3c_CRMj1XoC^w7I;j$DIithe9O+!ERAPnv70X%%^zp1|>bhQ0!b0>#Np@g;k*3G&JLIuiFEZRT~_XE`p{piJM*k{duh&PZ(;!0^8U$g!D zfGln7$D9#W)V{rmaT&?a*g<&5DNTGs2RdQB<}a{%Ot z=Y78rAy}#ngG){c;n~hJ6t9PGj1dRzPT4iPTy!n#ql-^kvKNEmlga>MW6XqWx@u2d z+DjflyvA`6rhe*O>Ws=_tiB5B{kc}^iKp^KjR}jnzQw|@bA?tKgED{O!a2KPFBhxp zx5j)<9hb_Iv=u&j3iq~-rv26F-u*^W_3SqlQ=`2vyr0%*64aKQ>T<@z7^eM2MvLtH zI6%!Lg=3a2_sEl8^8|d)`5GnhCf3|SMsQ0;Hnm-$7Zdtq$1=n0HggSRY5TBOvyz6Q zvWy0_R&v>o`fmFv(8I!`^H#~bbEz*p&vR=<4JA!}0CqCiBm7)^cpYx#it<%n!4t|h zzhv8qfKQlrT=5U<_qx#htWFE5R=olL++kj=|el#Ld>o+v4_ z3<15(%UCwJ`Dl8TM-5w3Qe1=6HoJUa&U7Ojo9~qYFvEtI5V&oKcK1{uuB4i7grMa1 zR1}aCctX?fFuMZSC&J=pHCy+w z$9;HNbZqHKT z8SJ#7w=EBDuAK2L3u4o+ zU11+KKk*6FmjWR3{T@HpGwU&}wI4N-PW6f7;H*0@F3?O$MN%SGBEQLB2nEAw7P(@Z zl}tBSyOr~(Y|^@b;k$VYy_NQO9{@3zpryFFt16+a{IuXTPD$MVeM0-tX459=xGQ{d&G{b?aNkSuL<6feN0i+9u`Oy!(eVzB736@41O~ z)*T9e$yWf!L$@(m3zTrmyxm$01TFl@az>>SOnpq!nM!XWEO!J<<}(GQukKD{X!F7~ z7R(D00n<}tHb`67kanerEIMn+Hw2)b?aQ<~@M&{5({e@qTd(gkRDkkQ;@>wYhF4px7x*3rE@_@&4j_=!Wi1YcEf-Ino_a$5WRz}`eL7cp1RPTO&XSb) z&2%pdO}zL={~s9AE^)-wUaB$JB1Ms1!%j)sO-~I)ZuT`;3e>&VzY(-L^rY~k--Sh4 zO%+3~X6kP3a&caqWLoj*ZYcF6>x0YsQlOah@6b^$-7;1#UK&dG+ScT8!7I!U(goCm zIZY3?EnM=25=Li%8Ub~5xg`yV!-Buxz=4S5Os@f2XbLV1-{E6&9wPU)*w#9?6=zdh zS8O=p7n|#$h!zX{U0g$TSKlbH>do_EF(nTuvpAN}N19%{by?$Sw(aUt`8UrO5&!cF8Qjn0X#)u-v zqAJ#*qvjUklF%crSuxoa7D_F!Np}iOu{UNnb;)wJcr)eBdQ#S+>G z9?uez{D&QJUR0VsO*!+IUo!ebRrLv5V&N44S3nb43XQ?`dbBrjAp0Cy!w`)or(J56k*^H)b{`8{XR^#ZX+R5!;{S1aQXf&G&kOsy=jL zN$B|`7Ur=CBGS`~s~BFq>~US|Y#3JmNB}B&^3h5C{-I`kNml>s={C53LPs-W?wU() z;7&9KkqgBi*4*4QRP@HkVg4U(781x{QN7h{5E1zY>>G57G(d!yBA$l_CPTAK%PzLids%|+H5>}-kF&UTW~2_heK&OgIB&To}AVE@btGx z(f9QsD%-M0JfJNxa$UmtI=v4Z?x1nWug=0>-rm@OryQDhWF=TS`1b-Vf-^Mrp!Bvx zwYrVB>E7J-#(K-m>0MZ+!RY$;=@2DH3qQ+$hs9ULO(vDI|9q<2w72_4T76BUri88X>gYOYqzeL4Q;utB_%)nTG2{x!VpB8{znnXBiX4_;NwzyCy{4(e}a zLvM9CMWG9oi3a@O5?w9Mjx~<)k48gh9IH%AA_a?P4O(6&49owiYUsQDkWz=b>W?t1 zd&f|l`_bodv7BmW@*#Y6i~T02R8wr|ma5d~UYUh)Mcaf&oK8BLCGS4+x;s$D^DG$Q z^-sND>En_0ScY0mne`B}sMx3_w%LPW!PEiI&g6_eEX{UboE#-`1lKR&GAUOn>8EFp zMJZ^?4K+Im%@IYFHWQ&Z6MxP?YzAnvp_TPgz_xe0m}p9sf)l6FzUk%p_Rrx=GsU68 z>cxRnE+wHAEN#_gY^cY6pFICatlU#iwu=DRZOik)4px5Vrtm?Ss>H}GvHh7wdjCwE zpbnOy^449P&hMk5L2#P5f8h!n3A<&4YI0{Lp<*tst@7-`Hi+-82l`cU^ku8QpYlXf z+)j?n>yQc`i0DCx)*{_HZ3>s+$ogNK;fgTsM4q#C(nKE@%aD!r+4e`)WT!_Ps2}>5 zS0J>>7o*W6&OU%;|97pFL_ z6@yQCQxC#x!#t_@ZK${G>+Ze=akX=&*4+&?xb5DCYeUXUzw%jAi!Fo73+ejPBejRQ zA3Om{9^FJ=U2%eq@ z`Qt_5t|4mOe8Y`r)e*z zZu=v?0<}?+_1XxR&b$l%B@oN*@fn%#gm3l9%DU2)sWb=+y!yS=ONiR1A!TaO?$EAd zx3FOvpbVUdi^nJm1%}8hj_<&Yl37pF*zJ1QoPw@t^*f;^G)|UZAN3{Y<~Of1hWi+5!oFXH-xT9mJneg0#Q%Php#bO$458!0);k)K zf)e)`Z|Zij0}&f)&Ij95gB4vxf+Q;p!(?8~l3(+$IcC$`h^$hU4^Sqat{MCGLFZeP z-Qh-Lh<-6n6w{?(3IxJW#2NEA5>g!BdfD?B$G^m>eUCE%yPNbb6!mhz#QLvTApy|B zJ|%?MEINUVkjh`;Zc1WC1XW2%+kNp8&WIdYvuWWqqblzDaop!IG>s>n{pnItFO$nC z1_qW*-g^*>rMHm_O^7pMAw2G?{sWQGkQHwtF5V$_e@B3)U`S*HS~QIYc`@M#7b^+! zvIFq1Zk|I(UBnOynPcB_J(526NVFrmyFfgnnb=v8`|@@$OAyiP2_3yr+!F^3tX#+wz-(Vx!z*cJiJHI+RJ@(bUFo&LlIB*`=-{UqZfVV)D$tKsb?49qWL zPzJ1NKDUCXkov#ZQE%Zx4g9o-ch|9cN3@dAHVj~F{G~#ur}!uMBjX9AEDO5-Fvbaf zPCxN&Sl9oYoS28Sw`;|Ql>1afdx_~Fh?vco4zLV&=4fisMBEQn%8GBly*c=M&SdgT zM7pW(VAO~Tev$i9<5O%)_S<`1h>V=sqDp&XB>K#?N;`m{PVWkZ)WPwTvw!63A?pX==yanzL2xouTuQiK*`H{2JNoN;$+p{e!q02 zaDF4A?%1yCoh=gFA?27hCwmo%83U++%b*bEXRFH(ZE_Rw?%KEn3mJWW*M$6|y|A>r zmc`PEOBY0W2WlZc<}eSPfFBh56C-)Em8-F#<3Syo4Sll}>t%QJrzE6k1+n9;#t#!z zobTmu%?(wz^M=|@uv-~Ck~L`ORS31p_mZM2ep+U-L&)!1-?7!v`+`8Q0D0jR&iz)h>)FFhBpme%nAL5E(`to zrqJ7wjFj8}c zB=6x*N}bEG`=c4U5zef=LP?{&v**+nrNPT|HHnaMjo$li^zy?Z4;>Hwq6 z3A9->LK}Sm2kS-Rs6vn>^Y~~cD4fQfug6VR`BB*A+5K0b zZ{zx+i|Eivvyou2IATbGJq28mKr``TS7MHS&qS?ILfP#ltT5ZzZUTuO=DvVA3LAIS zR$3o2GJVXm&=%r!QI+${(#+YI*S?)hX9`4qfRES*lM4AsGz<}5+6BQ$qf+%Yf7X0Q*e4(&JvjwNUCGnWSE|bkEoo1wN zolQJ^U|Gt1mf~4i8=?3Bq$5-GgL$$NW1o*+#HPe7{&`{a<5E+PjH|iN-QCairlDn_@m6VmJ4%E6NC;GHLX#@5Ts7PB(Pc?(j2De}M0_ z##N^Cr*U&b{XMvCNo9H)>uksznj(IlPRqKT5Y#W*i*?)8(g_r*6oI%Tum3yhCs&Je zN6*fcCXRXLfqaH?G)gbLUP#cgZPyXf-Y}hnfDJUfG+y6Za~uHI=x(b)l%>1p-yKWv40@a&dlomb-ScK^!m*?4_sRn#)p1&4j`ivROM2~U#0+rM8{Y08XO zIvpFtazoHz#A~Z7;8tOQLC~LC9jqG%^Ton3Huu)IRX$Dq*p@INsoVFc7ZKj`@ULyT zlx_hdP!nhXju@s}uImm)Yp-FblG|NiyB6?#zkci&YARPsxU%!apEZ7+etMx2&7B@zI$odko|K7lFZ_k+_cz#{8<%WO)W0Yd@Gr$i-S7%xKUd8ZZB-y zKSYbc7?98%m0HYD8edpw>atJia=5hyZwV0W+fY06UH>urrN!JvgA(@wVY~?&INr=KeUwnT>s)b{|+_R zvJm#r;@B;z6ch{hnr$Av29INR_0#s5ICtLVKR0r_AF8PE5)PwzkJiXC{RVg=_iBtY z5O4<%4|j4u?zxRVrD=HfpM-kpo51tZ>H>f9j11V#DmM>r0UT%Zz&Znv`@pHpNOz z1p~*bMs_RW)Y+oB!>VrDmjKF4>tF;`xYCOD@)@wB-Qdlt`aiY$UpZJ#>>h*`T-B+H z(nb_J4N`l+lS{K-mu@8JzmYIHq)^~){^1ZCTH+rM*NX6XV0c`Zfheb z6dNL4l*Ezv+|t>G9w^~=nZnURP9XjJYhIf~*_736PHvw4kqvB8yRdB-*ONE7Pf-W} zDmn~L^vN5Zu>iG3oPAH79Ia?fWIYYZNu>EAX4A~ac9t3Jo2~o_f88?B^Tmwj^yj08 z8(;ZX(N;gu+{;jWKgHJuupnxS@qz1*>@+rUZ|of^P`|Tvi^$f&ZV+i2xpg%t?;Pb@ zjR1xK9u06BDmy}MUG8v0wn(o->Z0`;lRxslHZr*gzEcL_T9e0aPV*|0B1OPEfNq=5 za=5AV`|Sy#VF!#dK-Y6{vS%OK7WW&JID>EBm%=<&8WeCdPsEYeox5>OnmH`Q_BYG; z?<|lvAz@>powQryKQYrk1XwjQK{;lY{u6NO4X1AdhnccEpwvf79`uKlnY;}I=3=rA z!m(_VRBqi%*rZI2x~0FN%Yk^Za3n_Zap$H$zghmJRwAmSJ(+7EbdoK~_%`4#TCLAe z5C^Mccx!-H6tT6wT;#Ps0aP}0^S>H74^^7$p3>IQ&!Cd&gYdta>`z~pJHgd7FlHS3 zJbhghQkG&=zlna>{ZsWGyPZfPkm&9!o%t6o88xDDB|wk^*Wd2O$(d(q3zcqqk7lQv z_*IbP+^jIO;2Ziy2`M2MG?*|FKTvfjDwhzPN6)W+4`y+W=~8@5m_2R~B>@7x2|e(o{!El6voW7GfnC z{U<{Ed{lv{7iSA(MCKr-EV;hRm-Tn06M?4u;=`|@fI?rqG4J`8$x)tw*gemK0$=u8 zwNJmFB;!bg=w@OpM-sq3O?%3A_A?cn)*z9W00C;5(TfdKvK{n$dda@)m@QUWBS$koqZii%h^Mt_ z$OrzfY@QSGwq-MOtJ7a*0#nD3Z3;0_|+|cviR#^5wsxoWp`s z#z&@)nAbJ6D)x2l#64|ePjK-Ku zt>s$u$KgS@U1TzzM6oy8$0MP}u(mu959IW!O`Zg~DR_OPm(99){4ebAVCQ?+o0GZG zy@LBVP;cxp`s}4SE^E|m)}Jh_PUxYupG^3ipUn5!vQG5C8+zvVat@oKAIZL$b{*R4 z8t*3e^(ar9OO3BTE3|MmdtEX6ww9-4%u7c6EY0U2`)bk+#oogqJVrLmIso&E(`H9W zMGu!{qsx51G(ag;mtb!?x^M=`$O~88)-?0i`A~tQyWl}CV){sjq?;Vbo;|D&K*3m7 z-s`d^-{S0BcO723Uhs`HK0^So2=RD&hT5(iHYDpj%;W+TlsHtUkg2Et(}eg)nlPfQ zi;~z=^Q>cW=}460I6{;l)DE^L#$dIhNWJ+sx>g@^BqVUqenp*PBDw%@yRE=eZ$eyN znnzN| znZcBzNblX5;#hL)9X*38jrrT|ROr|?I6;dxsd|SSwkIgtTSut*hQkQ)q#JmjC(|9N ze)xilAyndCA?FkHzJnr^e>wiaD)&AP@ynFiT|_=~Onzymmr2$E$N-u^VRnETD7}o< z3}d=GFuyTV@+w%K;X-uHDk7n44Kd1Op-tEE3cmmUsPwI{tE66xB807dCZ6egH8dd8 zDlG>I-4x|^47^)m@&ZCP3K_mViprifcM;Y4m3&BT*WMS!A}EBoruFp>7LDiHe>Uc-V zd4Us4@IAUxS6}nc(_NSYf9O>y9MlCBdvGc57p8V+?KW9(6 zS^e2$D2aBoDTo!g`Oz&iG4^xDg$B^HzAbXAZ$B6dn1+Jrd#pg`R_P-YALet2~# zjFqPtlzS9%L7%;^Urh{s_?L)pt8FQk4ng_1Y2VAu_ZI;rHeQtR>VPi+6N@*FG)uRL38)D^%+NbGbspKSx? z-IGfJGE?1me?{I~r>P=j`qhKj3a) zcS&Lk8k9IE!VE-wxm;v1Z!d-xtYnac`HB-UAsmHK1Pyt59kez!WQ6|P3a?s`i7FU zfp`ykVSRZ0V4RKtims%2B9{K8>RoKU$(S<)M)2bK(^ojV%vA6AjVEAb4}+Pi23hbV z<;3f{{4)a4-$3I>OVqc(3c_ml)_n0Gp2hq4jh)rEux~i(K_9r{MK*3} zkWi*!cVlD&e|Gk2P;}>`>dHXDb$djZ)YidCI^o5J`1C@SA7D?u6i4<;lVM)D|N1$! z_e4xZ#M!)jGaNNOHIeR&B^?qoQz6oGJNlM3jWk1EU@VWowJU%mO#&tq-H=4I;Xuya z4s6iOVy=l3oGKeIW%Z0#$@tI|)+=Q&u_=PcjjEZ#@Cce8CmY*yw(Wtid(zjCz11!L z#5*BK$tQsTf&?>&p-No5j^x}4JbCEzkMCGe8Z%W;Iusqn1l6LN@su$fxT+mUQu=_s z_2jk^g3Kw2V#SsP;8|sr-#R%J`ZB1A)iy7)vsFYzilMO2Y3k9=eyWGu+SjNA|VisZ%^GgdSiUtC(QKJD@Zah57N!Zvne-YeK)E#fj+~o2=SO z*d{sT+&*_LlL3SxM!8Ey3_Ge}+}!qA7AfV*z%BAg+QWa^WIT_tn-sRX@JxfuIxpG} zT?^5Pg}7qZ&xcynu=$P0?ybp%>F*3k7Z#zV8~^ibjIda&o}_Xs72Q^VrUsUqD2t_l z0Z3usmTR!iv9C=7(FO6vx^MC}zfY@DFEhL8{plpwg{yh^w}TzKyB+R4#SBN_=z}pTMSbU4iowBmYrYP`gBp`_%IRAXlW-ajbV46SGTKx$qBv(}q z(>ZOTsc#beSpCd#aEbfe>KD1s|E!`@4&Cs_^Sm#MwJAcZO0W1&1ZEW))OZ6w{?X9p z$>ddj@dj}OHB|g~k@Z324O(S{*X-em?(z$d`DHb&6~NaH`U4#ZmFUqcG8H%UX8k6^ zrn^~ZYsC8>+3EjQYsa38*|=%H=&6J4oWC5Y3-MCCC?z*@lX|!{trUd3`^fHmesQfV z3nmB58jP#vLyf7T`H}*d36#g95)T&Mw?GhMpr*r5a(!9x(APaDpBKuDzQqbDcYJPM zUH(D@c2%tvR+qpqfM~sp!`Mmf>5FC|9paAGSaqfvswxM@q;gsio;`hX)@@~Q{?@vk zCBCUoiGiw$?Uc!5x`}GzMIN91^R`PpjmZJd04`z3UwDa;d&NVXh?i~Nl7GKeGdiNQ z(1S`4Am#4%@hX5Es(?dOj`B&iSZyx@KnY+WQmUQ`UeB-HNK#dVbIRAMniPWa*=;S&6e^DHh`VY3>k~ZY z*|s}8bG@&#^~UMM%KI3xn_NKUQpHbA59X-&ErW6V6Ce&#C9#epG)dmIb! zv-Ls3P?!Pdfe-1#3z6fGH3L-IYt8m{oWB+GjZbf_PuQ)*|#mJuc+knHK}1YVQ*>=;HJ)Gd~?s|Yk(Me<);p*`oGgYD|2iA{5PFDZPhEsKPY zefNwIf$dG=sa)iUfk64FY_8bYUwVxUy3_N)6qaFiv@d(!sL*+orliHftUFBArTA$5#8{vgGkk8*jSW zP7ITWpo)0jx-(|o0||EEldwf|m9zuAI1>|@DO~Pe*rgv^>v2QY3%ol2Sm>9?KYpGB>YCSBycTG`j?0#iS z|6K?2!Y~ERJ_UvJv(O%X#zjazGf#cwZ_7IRdlzB*BR-Ad^AU+k4Tn1#7kpP6KN?lJvTD9l z+jbq+6BhKTqhPLmP^dJJ?TAfeRwa)XB7j4*IQ!|Q-7jYdqDbTryVtz=)K5d*hH*)1 z*CE>p0D9ius)p=?j;_sC4ZrRo2GTE+YTbB|V6;vQW|gY+L_kOo zivNz6`G#Gq2o0YEb{3%|f)iG0u&#)gWi?*iR*l1uCT7EwzxdSsUE+PPGD6dMpv+m> zgRZTDB=jhtGVLsj5F;v$jVll9MJi~N#>;dKhqwE;_D_@?lgm79j>GBu>ps@ih_&T!3`7bqFNC{*Yh+t`qAIzdIX+}*%a`GXDjnvt5}{>EV@_}Q;=hp? znl4F{EWfbd&AE;*qBLVG+D*wc-H$_DF4(8)$z_lZsQ|C0U3A!ilgQp9}Duz==lLzdaBS0wuRbGP7Bzt$e?|FW+3tKyXl3yuV-6 zf|LLdSv@4xYrEOiaJIFM zz2SiLc5QF|x+L-{Hw?}o{jX*>RBpFPWtF}w#b-T|LAPallm7^LB;z26|+xWLqaxIvv=Sd3v{Cr82{xuQk2~zgt_{e1_^Z@}G zdhSjMYM*|wXZqM%fCP|3&}axIDToXNMYhitjf@%uTDYj-k?2nx6k7fMw$0Rs?aQOvO+a}}EDx(+IkMwYkq6m#M$w-DOerxIJ`d>fcN>2;^dMOvM*|;h5UsEJfK`w@wl%LQ zVK(Yj04wxh$Dba#k!L|^^^F4aW)xeGS6<_K{0^D19--m$NxugJE%H!*q`KnmTt4CE z@lONmW3$?FibL&FI2GGAzqW`ARvxQkUWK^6#NKWNE>`Vxf1)8_-mA#Q-X^EdKZAyn zv4hgUWeq{>9_Uptr*O1VS4q=BMh;@w>?WSf7FD2)|Bn{QCoeCC1Z+q&N+0jc+cdOF z?UR4rRCQcRSX>a^8{j=7df)#UhDB8nkJI_A>Fn`%{eQyoKe=E}j>u7mfd+#5RgGJ^Nm{Jxn=qWivU#R#PW z&a%W!E|*WhMu2X2WnY9N`HkNe`AB?b^?dA%l*IP6v^R2D3ntnsZe&;6w%($Jx$b!l z*1e*^_&h|hAlkQ?1QQ3T1Fkrs(tivK^YAsZ{W2c_^QR5m<^_xO;Fs?h6Sm02xI$Cb z+p4}kFUcNZVqt1B*umXJhWw!%LD9LL`03T1khzmJ{?3NN1{j@VGap5aPetk~8WDau zG&55G2WL0<0nF-ObHJvnpz08eE-qW%FxPBQ3u&useh40%y=EY1l5_@4AJ-(!F)u2c z`<75g&5Ow2W1(!{AA@Ju*B)-34DlC^^oyUc1(8{YyY*`V#dBNt5Cy>~*McD(T&U`Xu3Yl>_Dt|V}TB8T!S0C ze$Bq5=KA8hor4omf(0l$wTGTqlz3drgjiGiEu;H4Z^UzY+3^XR_IIeA%3jOl0r90B zTSk2!vU~d`2g66rw$8~&mrocW9&EH%Bgd|A1`dp$Br`0BQ1-G@%Km1BVMO{ z2VI~<`fF>@1T^_l71GkiG>qN9tM@5n&TKKzcOL-#c+s@j` zN5=RqhAa~75BMdjQDxGsJxX&@UF>~Vx98L2v`IIN1l;B>BHU@!=t=`OGKO#qO?^wh zJkb?(Zd{Koto6ZzKHBzbV=gHy)OLf4}2)O%4h#4`FID|FTC6w=r{#au` zLiv-6{M1|iM8GDC63~Df6xUY^E-C8-a6Iu`lORaC+ei)+Yxj~L`X)3?`QZNN8Q#SO z5-n&T<8k2;Oo8OJmVv%Hc5Fy1 zR}IFlvW9)5ngJh@+_@AO3s|rH;{Z88!%^E-m6|efv(Tn1ay{TZo_b~2?_0hN$Bl)9 zYp)&4%hjy^C?`f?R zk(wI`vNl|p|j2&k$KndC8a7O zmJB#JNBJKes$V%=r=UC^>zTMp|H9-Jy}BZ7?IglQGybW=f1;`;u>EOLf*jj-<;772 z5PX*{`<}cluOrwXo3g;qz5UgG@84o1GZvH?wq{P3(TuqkdK1mFaLDA$#-xDh*gv*0<_f$iY#!C_n@cfl06{g| zXTC!!7IyJB9YbUR12XI4e`*^9#3(=M>?z5|CCk)?2Mj~-YuXnS!LV1znt@KbM3M3@a!IaNF*{P;8uHE|;k6k(9O z+i*VuQF44xMuBhm#I)-4x^dm=^*87bfmU*(46AAq&ff}u+$O^*4cQK<4@+cn12A;q zT4H&a0c3bvEKx-g@KrrKNk{O4L#Nv7Cmw+CtLhPZCR0Z6?^~AR)v~|!+1Whg-uB45 z{-(4WA5rvfD0GIz4Ep^_XSAoxh?)b#FNZ~>8Y?CME!&tRel5sjM;3sIW=u=4hrd@T@# z86Gx%z&ZOKwaRDRyx;r175A#yAALI<#BZ^FV4^I#^s_=*r`5t(jfFuVX!ByN&SBSR z{Tlb15OM+1c{2|xu$jLQ*~h43rEY0R56yxIrmL((ny>I)0bfnAvGS#skYVQgoBOnt zFj}M$9{#;GT^?2CC9lD*`OtGh%E)W6t&2#0Bp5+PI^eO5SqXr{L06!js?)%t;(2?o zQXC&D>D;4%XstbL3|*?lUG`uGRH8 z!+eI#dd&BKMY^qcTtP+Bl&`ZSUuj*0`379}(pW6+#t6A*dHDZQvTcj8NZA#@%H&SU z;9E5VsBloX*{rL~OBmao^t+`K;(SuX+B?d*9&9`5`-b4;iZrXjG=Jbj{zYqEQJvv& zTw&_Dd;7NJI~-?t8V11^!A?@Sqv>MxBSUORkIH)>nZ>G0z8s9FezP3_s(g#N^;%c+ z-dcF5RISXikG8Hl;EjFzvGqi63uqbW1{l?5(qqzIOB%`x|FV7@zLq?;Yp2i|5O9E~ z_^em}+?aM6ZnL=-9a|infRgqHFoo|;L%W^4 zg}c^C_PjGHZ=y8Z;-|RsW1iElCEE*j7HEPj?P~i-OK}U!OG(?GMJ{CmxHN4)ik+%? zcNF4Vyyt7N_CMbfx1WCOUVYFd6fwG~g2eqg`{m!OE-ZmUWaX!E$Nqrs9ixDqN+b|y z4WF}UMl?PC-#|aM6Y54tMHR9B=-hRsJ{n3Y+aaVY%{sL@!!)sKbk=(`z%*tU8_v_pj`Pvj5dkq+QZ8v_$f;vbmoRJCG&2s@0 zynhq`r}qF2-;p&dHO_2p|3NK;yyDcklq(~g$AM2Ng#vQgj?=v$1`TMmC zyp0DZ>Pfkhh3~GFuhuG@IOdx~y5Rrx%do$o22d}r-MMw$&Lr_@sejmDgK9ePb%l!O z*mc(lDbd=;v>CuL`*7+uLTQRVdJd#9FkizdPV6uJ%Jz?&HwT9^?{2n|Wh%r_jHoXZ zgc{|mm~lYDFf(9r+LT3uN+blMdzU&`44WgF@9P-lt2&PFX!sZ_BCLiygbOy?YsRw| zJvf6#D;AuwHMQQ?`QT6xR?}HvI_0Wu@!tvuNF41G|HOXb7N!_?2u1xaNsS1I%^O>1 zz9`(jXp58@pVkSRCZLwGxxg(_#+ShS;{q$rywt!`#;--WhL7GUf~4TlPs4+1tsgJ8 zCblD0I7L|Pep4YQV$)4jq(F3@@Hfquhue7 zm^obNWouz6R_!=xiP1Sf5%QzTEoW7I_mu$@0^RfBefLfEJhgz;aa2+0? zFRVQ_VE#HCG*4=A5Z~iP-g)VnhpgAc!lFf9aiTT*g|K>TP%IA`y<0Q48(8V^7iX|y zmz;ysaDl=78rEICN;~hZw*$O;9;~w_SkPi3H$CW9bnplZqC+2eOiK*f!L0Eg;hz#joZDkfwZXx<_lINRAtv`cI6 zwQpb|m5F4jzSp(Zs5Txk5Hw z?9FFR7JFryfgd;QgS2U4!Fam0X|J+Pn$&7eMS;$M5REx6@@yMl7kz+m7^E>%R%kpB z%$MFR$Rut`1p8T*U>53ejV8lqIu|JKnL=hl;57g<`Pe6LxbP(#YALF@YuhDmVLod^ zIqQ)}-upP+9BXPT*Mg;*)jOPtOi90WMQGE~DRpxEo#9cTIF=oKPxFnm zg3Y(Uzy|qKRf7}07@|lc643`J=BoWLUHJTStw9sOp;5P2(zn0ig~tm$^L4xdNMnaG=z z@ATPZB~Oy@mJ)=90F^;w0%HDCt9#0}9+7^>3+uPA8ZSV>v~GM>+~VB#1b}cmHuI=_ zf0ZZh&u56PKmw#1t%E6;H#2YBeY3w(B$&=BC=rBz(5g=Iqm>0u!PSd@{p)qkdhOY1 z8&!e_IhP!x9CY(@$0zgl+%@mCtGx_ZR4FQWJaIsGgRWL9;X;e=rtgE@mY(Q^mA;7f zb!>VdSoqc1C|+188fT?7%`H)z%3BzZQ-jPq!fcG{L{p;kPPNVNF^C`NFuu*YcMKnd z#FRX%-1Pw|-rj-DtDjQ|CF(JNzlz=hZp&f|hBBopZI=7s^`bOIWe-CexQ4cor?m|6 z-!xklhtIjY^#lvNa|#s!*DK?qpzZisrsojVV=Bvd5yu!%+Z!k5s&^;Z*SFa%Wc1 zX&T#H>aEcrWdEG%)~A1>UisPaI$xdy5(;V?&gd1$K^qRg1dH)5Cs%RW^+|^C9-x%* zs4K%TA@P)Sr`L7l9a^48IM75hiW;~s23x??x-hJ7h3)L&{b+w;y<`%ZfD&SayjTjW zL*#If%}6@8>M^@`5#Qr9(rXpJ!r+~+6+p^H)M-M8TjUj2uX|&0ka~Q7{HC8PFsrgB>Yr$!*?OPjHdFt!dOxg=ae~?X6GkV7 z!eetQ8-iB$OK2f~e&vmz5J4AJaIIO6){m5VH_+Vmbo;u9V#bpGjB89+7`|6W*-(Z2 zt$_ooupBaD_I{*S5ej;H#4|3BV} zQm91PAz7hh?^1}eIoT4pq!t3?A z?$_(Sulu^5*YmnA`n*WL?KNp4)Tzzgx>-{WjY0P>X(xx)FwIwZnpbaVzHK;OmlI8v zt<9Szr@g(xrHU_B+pXi5u6FiY@67~1{CydR@?^ZBGUrwhetF4>JqP2fC<1rm>Q*S^UW&f{^T&S z0rpYtA(vHLdQ#VGP0yK@%_(}euGfb)<*DueLAeiP!aO3TWEm)g81t^(qNMyte*4Ol zv`I66)g|Z+C%EX%$Y|H~;Q-I?5jC(0$m`F?6MpP#U9}t~(s%o+xOx@m_`nIG+PL-h z0C7UVP6qs+Gv{--OwW>xE9nCD@r&quVe5&l$46mr^nP+kufCr=YY(o9hMUNHy*A&S zQ9me*kDkByD#@w9WaT!SCaB?iJE(Julm5MFDPUuPN@#79N&6!5>(fd52e1VA?d~}= z&}U?sW?OqCV4q$ey|^6EQLMZL3xv{;bB)Z7%fan&2#<)b)R7MbJx15sS2;QHeeZFl zlr){*RMK_DtJnVGd!7r3Y+y)Mg9k$dv|?{o&~Du)c0F8_y#iLO)9(Z%67a)->UUlS ze`r|^AO|>qE!%6NeN$4KS*2Z_<<^98an){Wv^bG$fLZK-cQmWzXJZ9Wild4*^g^nQ zJ0JKVk}_1~z7{Y-c$tpaG~SLFZF`PqYjh@f2(Sy9lvzYQFH|giFKS`iFL0ivKxmfA z;^*;iU1hw|pm#rvt+&2jeQ}Imp8r&5SDA-ueZaZ5yUP@tnS+ooQ^kEFz}Tb%!QVzs*Olt$q)|H43Rb4fCi_9m%{J9*g;yqR zzpr)PXI`nBgLKm}iQN40e~iD*{zBiuU7o-46c3Oq?LA#Q)G01+2bWKVshqb-bI1n*_ znLuC^j%ocF1UQ>g09f8T##}M_yX-e0wVKYVng4rR!1{SP`u0VVGYXl_(!?o zYQ93}>MT8Z{QPK|VgvF@2Dg!6F-m<0^UIeiiMX&6ux&pE$_x^v_iraY2O(_;Ty|wG zz?xJ~GPK|Rcmg^|K^lFVjuLC=i)KLUo2jfNP?Z+UaXsTj@CYe=&OfD|?TIkTe~t2y z^r%+C?AlM&pSJBsDS3?aF+ZmhEH>D?HrS>G*{2(jlb6%H#|BJur4O*%Iu48|taNcX zt)KPTeO4k+)?v(^eb|9~3QrUi!jHBgB!t-H46{m@>(>UFe8(-6##>QY`-$fD@s9B< zY(fdvkBP>LT>C7~!@g2&Q_0)@4id@TmN#GMz|XxQqjX(jU13`pXUBmHBf+a(D=Gia z59=%8{nV#Bkm|0>!$W`-IsfF)GqYK_0x6mqAcgd`CO0QsUXiybv&o+a{j?O{tcJ1i zov^vi1r5Vmqjb0BL`1bk-rTXN0N&=QXY`<#NNlJ1{V1&A#f6d%V51|h$B`mHV9icy zb|D$N5g1B8jf&^~A#;zyIc_80Y4-}NeSbHSiVDJOch?k1aWUWoJ25^Ci-y00e(!!o z^{x?tz{Zq{3xi?Q68WXkViO7!lTU1*c8v-3r9BJH zg_!E?e|U35lR;V&1GzDeE+m@TJ_P0%qYls%u#{C);;X5j`2HagwS zz!?MsKC$@hSvL0bjRsBebx%soF~=iJbq^Q2xIC%eXhe+1%dz#mFuXQ-Y3iaoTj|a5 z^f0J@2R=Ld&Cw@hAQ>4qxVCUzEx3VEs6VPq;AyJ|>}HU}VXi5B1?mFm9HwTmnMk_T z-aJ@?9t7T|+I2ajlE(?GwTXx9!Ml>dscbZ_Oa%keibbs5OE$S@zsXq(JT^11pso>$!I`i1mmKp#j7g)(f(hvSgx`_NdwaD!Usfx*oJh@wC#Rpf-&)J#>m01_tuOmVx7VUk&HXXZLHATnc$eHWt?R0O zJ`*0_78bsTI(cc}vELc2UY*A57E)B`ZdD?+I>(?T!ZRGY9(KIeaw>{emWFPsBue*1 z{+XH~na}Q#7!Hr+cBHnl;{u4;9sFKgGBdSr@^!z|;M${6ZF+f2&M8 z56m$6F>L^LyJW(pv)D==9D$9Iu+Lb#^#}S# zdvW2I&xL#H<-FYWm$x;?)^zf?5rgUO+jb>cQPo6$enbyN1f9n8=puCqnMRUjX+l*? zUOTew4;*9S;InR$wUoo&=S+Ylm|F{(AYL;X;dvZRFo! zH>crf>Hum#u=7&2N%N{ z@cyOen*_l;!&WlrUhNn1T^mP1BW~Y}kxm`g%jUXltc%X*4zI|V1pK|lC2`UhDLWeQ zYWDknm^(>)>ZOW;?*S9jepH;OHtNoG_)1mhh4Q$lLs7Hu*wIY|e8q{C%ZGj9>^|^4z=Q_vC{Ff*o2CuUy1k;l%lPm=v=nGpLYvjb_qleb=o?>x4js}sm%i)?_1t8 zkI6J6xzktW9N#-L(fQ9sB7cV0k|i&4)ktXizvg$hkz~A?wg0=w@susT0YUKb{k6Pc z+KNTGU-<2uXB)((@$khvcYn+Mr z00U0t&)^@z3ze6XPfYPQD9T|JbthrQP_f!g#0}LFptQ`+&Q!yG<`op`V?#zHV~ zWj`6x00a-bj^FrF?RI|nOTUq-Dfdu)47!3iX zTxy2>!ifMV1sFTh+^CcaAxB%;K;)jv>oUt}w|z9F2)82OvGH2;uQ?{!$32;1l&7rH zhET~|inqoH=90yZk>Tatdg#{yCjoUB*7sLzaU19f@@Z`bOEv^D$Lsd1iSuHuZ9o!F zBpSDB$NFi8Y_Fhs#cFdur)`Ms>~)gqyd!yBG(oDC=#v&DAov#(tnfrhoDk#@(M&dG zb%g_gQP zG_rn>$ndAbmd{=u;Q)RM*9Pyb(D}=92`MNGrFDsvOc{ut(2or`{r=<*|I`+%_%PZL zcHQksq0!XV%GRL+GTWvD>J)j!l|N}$bqc^WxTiF_0T$Os_NlzUd{HOM0yxVjEJ3oJa3q+{EuwWYv56}X))fBBWzxrj6|`2h zZL$8tiG_+4^x!Q!cI0o8hIH#XP*e{VoD$Y zW&PmxgLr`tVpzIdg z@t@h)%eM(}Rl-Hp!8rt?&_7i%c98&59gxR3H~N`0Ji~|3Twj5}`Tz<`eT1feb6d=AU^)XkjiA@8X_r75&1r*=vGPp168i*?tVcB4g-Cg1<*s4#Z!s^wxzqflfR0n11~ z+C)YovbKO?Vc_!PK-6(G?1F^*kSUtFO@OveUme>(LWnIVk)u&{pvLLv|KNpxpbL5H zKh?k$r8&5|gkTTkEt&~2T62g>w!R}p*AFhymJGBZ^*NuF4%l>Jb-H+`SCM5j9@T%U z5_rxG^oGo1Le=TJ-O8h|ItI_F^ha`d&vjm$Knm(R7Ar>-8~u74XydBL(M)$dNzOCf zt92FJhh3lvqHLfz7c&2<=NcYUwi-ySz3#pu7#wSO<0*S>_8=!)g>!Bnf zJ`smO!{z7d@McOL_C7wu&pL~}aaFv)zW1`s z8_W~hIvqe)FUPx;)5pDg$66e3?b*{`>eAA2CrcT)Q_WqdTS?GcsbmnhMH9zBk3fPo z7vL-W*e7W3U!jCZx)H|)^2tQ~4C&c&+O__-&U3un1>(5ePQlb$pQDj%emw7_~Sh5HrLN0_})!cO&rvk+?(+FHkv!~i)E2}6XnL8Uo6m+Yu);I6I+H! zMb7Yz#7$j(%_jL+rR;QuB5;ORj2L=Jk{sZd{l*#TJ_U zOVei8Vp*|{aC{Asgl|)1EJ2khvLz(`$^HE%2IVvvc510te=79la7_+T#=<3Jl)lwM z2}N;#YG8h}YKjg~sY;(F^T4fL8^txcBAaIji|?z=?aIg1x>=4d{z-`v(pimxtQ`^T zf+D)YM*@3>OmK2yKn{Y<^r{(X5%)VdA|PeHMF-V`(d8px*zqD5U9bm z=9`qLhIg?D-}S5XJ(F1o_4|t2sAl{A+$I0(XZ}j}x=@!SsxpSUE*Tfa2Gyt3!Jh0c z+E|k@P@LvsZV%9$oc2o4*HRNnfjA2rZgOqi5d)Z-ka5{O_mtt|45lN`2Kn>vbL)ND zyxMhlPvJ~_+79~86Te~wmbbrp?;fsq{X4aW{tL9(GdhS^hYsfV{H-;j<7D5OE@RtK z*^_!_-0FonI~DpBrroqOOUB(~9b9>-<>0pRc5iw);p_jt+N22`M;bQmy{&6b;93E!un(KFQyOhPD-#n2qhp)Y(vK2fNZh zvG-)I6w-#(0?ZdrXvCIx?YtHtK@rKwx~NZB=tH7bCz1$F`?lO8SFsxT^)Y8Cu3XXm zdiL}G>5HUo&H^9~ffed1T>K(V)arc!#B~tgh3w1@gr-qXMu=4eKV1}DMSdnW?xG+@ zC?|D0`o_5TG4Y8|?RYK9a3DdI*);lmp`D@rO)4j(IH7Or-lXzNe)B%gSXy7_l$w<7 z3%nGR8I`&zI-Ey^cjH^>LZpugg4O6q-cD^)>^&l@GYe~=rQz{gPT%1&)(2^1?cpc6 zD02Z9=rh2%10Y47zDsnK50lbn5b`}zLWC-+&JK+o^SJJkA9QpgtQRt#-CK;_9ZW`( zlLG7}=tz{=o;bQR>EbX17R-kgIz^R4eDs2W$=j3`TIYVx2`rtB8^@l5hb(N8cM8?? zrEB+s4h<;;?gM1}%|*K?@`*R3{O~)=%8lM0AiJK1cj_fa$#MP4t^MkNW*6?+;t)m; zq_{Utj%KH$m~EOkK5S$`pLX82%_4th#_o}Q_d5+VpAtWHe{u}4trk1oXXp38B2MPQ z3XZ3W&UVx^zZNnaarhNxP>OQcumpzFY0mL}QoG5;S50Po3WD9n2HI6H-o7leSbOb@ zP#)_iT`{@Cn~)y{Uq6kKwRKMR3{2~?&?1==Ep%Ej&R zYz8#e*2&BFb19IbuOVYS-VI1`KbGBtl;)~=2h5nW*Qaz-(Xs!pdD6~CK3m=S8+n5; z!-wxHBM3mn=m&p$Y!ccoM0$Vi0)poaluC+^1HHXY7uI|r=hOLD;3T^Dwg)mAYI-L7 zJ3;K^kfPgiWHpp}m(m2;lW7xyJrd<=lr~JO)DJFIPV&Z5G0uS-T2qi*bFcZrdVew6Oks zL!`JaU5@62V^F=a4BNUpk|MwWq9Ngc)MduwC%|N544piG8q1*PUI1L8Pe=e~E34a2 z#1q~$SR~{N(B+#q3(m}c7e!L{?6ZI@_om;X=!Hc9!N)TzltFA~4#G|7{={rsg8vR=Clez>P+Q$eq zi9IvDji>hX9z68SQ#-+l?&1}}OTGf31T4mbr0qn&d?xlAQNHfA0P3Q(c%oC^7Pq8g z{#LgxO}(Uaq=TY6*K))*{Rmagj>j*aMw>sakoU^PRd~G6$+)SC1YtVwSYN_SI=TQn zZgLnGkjdVBSL~YhCQYb`yhJ^1B{tJE>2uyr4W;};>-cW|Q~QVSn)pvd83!e{8-~dw zNWI0+3y}Y8r(5@IhTtVTs`D2zHr`?+9R`FUXFXDgFDQv9vI-(c33dxNlxA4pV73m2 z-UfNIfCa(WLux7}*SA*u8ktV)7@&0vVFE7iZig0Xf9Y5Jwd}cUj>@d+~ z)C@2$SJF>|`J)sBCnXQo7aBA_?9Ms$I+ofT&5fAFR?2I?wc8oYX+RsbvfL2ZTlj!L znu64Ziia>@EX&5K@-rlctzzgjp*qmIYbrEGi3hw$yWjW7JyEYgs2ff+BR zEw#f&u;T|qp5GfaY7KkV-elangvTF8Wo=US_MYp7KZHDx@vgM7!v2tf;vgBg_Mf0+ zr>vR7`P1PW%4AZ^|i zmlpr%;_d$(5e)B}^Wv9%ifM0)d+ZIfZlftf>Q5}CvqM-u9y*E@1s_zBrdQ^U@bA4uvsMCvLg$t>>IU5Kat&rEyPZFjtvmSUkt0rNXOHzdrdj z;s9ISaK__g0}2?7%RZhys3g?|l7ij1@b=n*qo^A|wbn@vB_QHm8?vi{e?ol|YHbWMQSHp6qj4aiT zU=4HSu@{ltjfd8rhB#!$gnTbwkbIrtqnV7AqjBHRX?`a&@N zH!kOR{5%7H4_3P-+!Fi+ekM`#3RWNW`cQiAHRNzur){Nv5`An>e7mb;?;1Fkv*)6a z@?aYG)sC=s9YKzc-m70Zs}p5cI|U3n#*V!+F81c63 zcFJ69XJS?q_4?mP28oKtmd|Q#m9Kj%7sC9KoIo2Wlx{zSYO!pe8_Wajf!F_1YCxnM zvJvOWF1cWTmjGhgjAbZaz_j0SdG$Ag8x~o+uN_8K=t+%@+K+J~DOPqK+jB{m3rsU6 zTp8r2-;2M#{rENsm#+NrowV-XD=|P>^zy#oysRqSm#I~jfyqhxF>u=zIafsGaJ;ihwNG`d#YG{#s6A^B~zNy^WA?5 z7+nabk^aGiUG>E#f#(5OT3?C@AWnca^BWL|oFNE)$OhfCgFbC?#>Q0)duJOFx8k30 zKYe{Q36<>uqI>V?CX(G5I0U5m-f^b5Dr+#4Q4qXj(`hPnOG^>8P7{x&&FRIUuPWit z(ndwtJ`hRH`PS*3ptkykx;Qy`^_t}3(w%QVJSTsq9thbpxK>67pdN-ftxsUQ(hrcitTb|K&fL1L&`q9nyoU@wS&W%<{6p-c z$Z6yskp{UXsFC10dyIjmY$Rh{xIrfeUC!_a4ld4*SaN~fqz~ywzg*29tr{Q;+kJXP zROllOfpW`QS*Qj(Sjp6kYovZq1*1n~pSO7!>47+FLZ950uT?cm%=&}=V>5xVxsmjC z(HHAqW(Lo;c)8TWVLL?;Np6SI$enJDR%4DXRejGp|d43lVF(f7C zM+7lhqLPvQbryA!+WU2-TaU+vvxyw=Ex~Jxx~ie6kh0vbB;2nZ5zW4A+@wIE^7Ot+ zB-5}uKOLs@nVX;okhJZVI*6|)%Ba4OpZ+noCyH>JwmSQ|psN>KroFMCsZm1T#JIA$ zfCW+PbjzMs^DRDE&B|j`_b}X|QlA5*YyVyBT*)Nhr-Qpys7pX~|1N%B8vz?O+ojNx>6NWHf31-v(bRJ=?Movzu0hP&(DojmrcNNx4IwR362+FN^rA|>n zvq={mA)^QGmtZ#n?6Y1bXGwYWv3bZ$RBC3ikN!OIJ=?wQy-AF9@X7ZyCDw5$8ySnI zrZ3?q(3qf1yiOE~xCoHJmoMl$^yRm=*m*=D_Mm4sd2vd(+NSLm!z|IH`MbL5Tb>6( zsAYWtCCQHyCXfls>$WzItu=gz8pJCU^=@^tw3fx79KU(Rj~5Qj5{BFxIYJwQo0$$3 zx)o}u>yQG8S@+JarCLQ)Lo`1P9TQc?zjehKT zre$t!E28*AyW2F1q@zkqLKk1Q(JP|Wa^ngp?`~^w75+^)vZj4Y)RylfDyXgaXv40w zcWV6ysQElZ1YekIzOx_PJh3pkl2ZF=RAjOcoZWQ!Lc+>P=;4mg+rZv!gE4>#%Mn_yJD}lUJ7vo`L0~Z zk#>zf+RQnUZF%Sg*ISkg`9xJ}tBV1C-Z(70x&s;M=OTgl2AhX)m41iCA?C~pN)1P> z=x2ugo&9IOpS1xa+I~4`hND%lA(hT~k8dflEkgfshloS5@JMfHE)vP3H$=}$CT@u= zl~K<|D))AMmb&}AdFfCMcLx zRuei)d%qC&^?!X;Al`uj_kh#c_x4IvtgRokKZpQAlq0sKhORAGZhz+}^Lf0UV$1G2 z#ObxW$c?Hmxz+*8M$nnXiF-kHp326u^rf}uPv`C#WS2#}&7-5jPC%%m>2ipWB&%3xQ`wmgUuV3o1*%n1=9WECe{D>;V79F=R@Culg(#-_kwWDqy5xG=sC(!3^0+J^b$O>d zQ6I~ZCGszQGCnp2{i3e4XyAAjz501&V7xi;^5BPn_v74u4@CGr5YNTSY}g)E|EH#w zr=%{3&k20^-y~16R|1RL7bmPH2QpJ%$ih!mYI9}@BCr&g4h(1*PXhXvyNkW=vG_<)-5hhxj>rS04@?$Q#F zlw=fZ97;W3;gc74c6j$+M-AmHD`lv{T`2XYs<3qGY8H3k+aK@$2m_ z-++Mr9wuRm6|UBmzeZPx&BM^qpWA3v#mkSwwv(GXdn*I19n;7B1x$<05LaGOp8gx- z1w2PeZsFP8|4-&08^ZJ{+efh~8fFLXcy< z6X1ma5VSFp-ZA>e*8Zx0(hVWL*?z--rE#vkRgIH39a}<{IuqRtNVDU^l{JC9haPug zE4}ExMtIFu)-eUER2T~Yvl^LfQy|Vf{ zYKx?+R1OLm%EFqF*VCV+&+eKzw8s|A3~s!y=p_w7WedDBl6~OIc6kA zREW<|v@b3rIoRGG%{h##!TY008)plF_#dm8>#?@TQ%I!Qy(`ItHMuxCXjQ_#0LV}^ z_qIVAnOYwW*;btx#~A4KZ~LXXP5d&a98S)#L5h=(l`}&{Gd(M4a{P^&if^9iH0X9M z)0N?`8wp%uf{k^-W2+hksd;|$&T(e$6RKssNnZT@FcXxn^#@mwZvf+cD^*`Qx zdwlrzB&&A9SEj)NDywV8jO>9|7 zN*{wyZ^@V5^h|W?@K337cja0r5?Iqyl!^BDzcV|eOYoyRIObPQwL6=gVr{veNjl#)6PlAQ~9d`ZhF@Dz)+;4>OGKT30; zWqxor2#C_BwMVxOo%SXFRL?DTRvp)MvG&D9%v|!WWEnu(ut*)SnoX?{q~*D62<_d( z2;7RT%3G(JpX27P0G$HmM@Hu#v5sdSnl(Oy)z1@~ITnwN&Nm`e)w-A8V-n(pquw|> zy)Y*dSbi$A%tY1MPQwGdsTzMw7ub@#Wg>c_ijn=TS_9?#xyHX%gB+HP&>m^a?Q1&; zXpiTXpf%(`v-$9_`F>Z8ocuqaBwWihJz2i0 zmWQQk*zm+=s!)bOpiklDIpCU~6xS^q;+SC>2hjV)L~_zW&UT{0;O5%u%ClWpYE|I}?_`E_a^%+mYt zy)M+bl2X7OsVpNAG!y0RP|+@}Tlb3iMN0l(o}*t!tF%RgmP7mv6{u{2uJaQCs?K5R zxflAFsx06;_pw|6TP{(@Y~2FZ;iHXOwrw7>1+K>@tJN=SkaBTh3Re;TvVpDd+U_9b zl#8eG{T=XGz<@8HtbQJo#XNroT!%kHK`Aj!3Ll|6LW3dT_weVs_VUz}st>-~Jc-I8 ziMS<15hD6dDukiRa>Q}4RqS2T>@44rG}iGKrE8k_^%RRjJw9+xS}hoA90|yh&DsC- zyXia&T6$P)Wm6X%=Bs;jW6Y~Q4p|BMh^t=Ju@c{B60;4d7dpCmA;{B+`|CaXZy0c^lA6YjrU& z<3QYN1-^JFPwbDM#FFdfBwOsn!atVM2q37NPvltsNdfhtj6wUWmJk=-FFgt5Pb;J5 z>pa*((C2fA0zkX6OFBVO(jhC=58P&hUuwJz>@&*pv&K3CF+wzpTOaMK1vxsG3KyOE z6q?$Wf$sd1eCQ>wKr%3b-}J)O_}>%39d5SBzhq_?za`F>?_RYRD6^5;-`l&Ean`K7 zV^f?fAiYzp3@z4uMjg2}5xx=_w0u$(Vmgt5ZU_MV65N#Tc%81&c1Bn;as<91i`mK% zVmCsAE-Z|~34n~P>N0k7zh;hxX0wH!t2@tebT5ytOIL*bG!&Z7i98o)XuM^faNG$P zQ($Dz;aoS!*@BureKKfUDZN^DZD{7dx1<_OGsI6L7$7&_GT$nEBJr`~KE3|%zN1SC zvG_TOe!+_hm~s0=wjvgLq*k|PZ(Ce=f8ca4D0dBocKCaXI@0NS9#VNYdQXU+FMUnA zx^KkcZt?R`KV5@8?P0a(-aOL0KVH13g$5G~_l^KF@v%MeZ{4trf0RI3yl2kO%L9En zAn|hwfrSx>-byd=CpvLkfHSLHpMkg=78*4fnRbnatpH6q5pD-3$2ErmBbfu2e+9IL zf|G!=P{MH42=80@NAVIq=bcHwvwIo2pv7E597V~InI6~_bfktU3_KEgN4{IBTtP96 zb{sCXgz7yGRGg%ad}_VRQ~bd_IxL$Zi7Vu8dZFs~_tyG&vq)hz2l$=CEM?z+KdmJ099^m&Otx$u*TsAUj zAVPCQnb+63#rNP!ov+oqxtg@AT;aZhMe{*#wzsW+!rL3NDmgwDDn=KuiygbbS3xr- z-Q3r>j0`Okt>vu9TNJ*uFQ`nGpcQN;_J!0KPBfC2Oh9j4v8WS!@zNoE1vq-+6d~q@ zbEK?al9$$_Yv;NiF?B?c_ak{VBG0byf#|W`Z-6r`xAGrc;YLmfKK!%`;H-ug?YZBx zDf@ zV=GufcDZBV#`beHL(3l1wJ2?N{aH?-Wwo||G(Sw*--#_BuxfFG+=zD>P_O#7KgY#de4gja6@T-;0@Bb95P1D4GWzV^6Q;3^a?YzhA-cMf$Vvngq zV{>hjS70M`LK~^-P*ir)sk`#fkB~Jfo6k=yo59X0OtHCm80)l<9lrc_OkH!DH)H*!x{2;?3dzNyf}G0ms#;0$9>}Ua~sJ2i|0ai3pWx7I{>v_itm&<{^MDcVND^r+%FCxbh)F&!$ILUU@N#}DhQpw>$P9F`9` zSH(YJ>Zw*PqxwM0&D|8eTe;_gC94`5#$S{q_0)TZAOk6iE;?n{My>#Ph{C4}1pl%O zl*XwJv`hIx?aQP{R-s#vt#o}9wT@MEOI7~1mWg6{9>+qcTVu)`xv3SMuTc@Rb*pjj zerb4gbmbZ8UnaXLCepuItIkG6ydLD7+bZ7P4)SA#6NQOR2h=_+A4el-)+R9P2y749 zOX8f9QKkMw=yY!qOYv&Jru;`sYJRg!KIL$~IK6%dBhTM}1e~qfc!QGmpj-5AT@P%# zd&}Zva##RKEIG|9L$5(*ty+;_yFZCBbpH}nkI}pnU8^-zx?id7F_cRl^FWkhGeX9Z z_Vn1LmXWNbw?0W;R;XgO11*LLu0I#r>^BU3wi$kMwxx`}WBw6Qw$5dPfC~$MlW=3% zb)3NZV|;0_%~nl}60~m{tXL;u^6`G}L7g0u;{x0YY4o;oyAl6WU{*6RQ#_gSElKUK z-pzX&r_M7sPzkM|pjGw5Um5>v0Qx7by@kkUf3fTiGvR-di8~x_-g#D?gLKZ7tB6|? zBW;$>0|C{pDW|ELrF`;wT|u4Ny60%4w5IAUe)f;LE>!D>{QmiK(tKS$*bp@Y_3mbE z9)VPA1Uk5A6GgpdvOBlXKq>fXJP7ktP9xwjW-9CNd-PY*Z-YF{xOLWtPZ~4%N2-5C zux#RWu|LOXo({`XDw#;~j5nDeKk#Chv$?dLD`Hzfz_0I|fGfj&AkB z>ut!6&JyDJd-_EdpXx2r#LxZSdyYCLjAfTu z^O2S)Q?6kO<)N4Z%2(dr75R$;b47mvTE8Z&lJqZO$py;Ub=4HL-L-Joyw;HAd2}Mu zBID)6a&YCI@5b^E+l*0#@TcYk`7dolksw3>nDSQ?T_xgJ{(w>{Ee<2~R>GPd!1FQs zob@PgG{P?TaALNT1yzZ0S1`t4D&u-HpPKGBo2w8Jh}%1Q0G$HDI zZ}}Ng(0dqw(Tptx>p&G@C_cHB-oi^Shn~QxHUN+VEBuYm*-Mu$%YqL4=?U9F36APtwdJKg(7T_ zk8!OSH(}tNOHNWzX1Xu!AHSW=@_)fs@S`+g>^X<+{URx`#C$0!>E&mzTJa!tnVT-9 z?1?#A&)K8z2Y#9RVFa1^;(blML-ZwtfWMOjPTKPCsqso?ZRkM{~L-0G+Kg$ zmO`q>IWZmf)yH>A()IQ_i8Rmb8zSWA~AWGuE?C6b(JZ(1OEkpb` zMMtv=mCYeN4I75G-p}Ac)`rwVbS^%ciUAUxq%{pXxi2XKHw*&4LgKXN#FN_R?(pvf z>uz06O9&N$dDABSkTa&f5snA7A{HUOexD6tiWw?X8uT4dhmY^L7 zO*TFan%pp6gOsQJ`m~=c%tixwx3m-4BfUydNaa=f_4^v_b-UTnqnlJkwQz^qIiZhI zf8L}ls+H|taiYp;E~5GloxVc7LD0n^F!w>TaB@n0l1&E3BZrT$=iA16@|@c^S>%y2 zska%mW%zpcy|_;>zhTSPU9_afMbB%4}CRp(jY zwS!mc0z|%7qzHl}Oe#t9^rB@WS+y@S$e|n z3WUx@Jl=UyAJv`;lzzh$-auPJ-4qXtk-mMgCTZ0=R>w|G-Mup};{#=1TW7RvPnacT zA6q~2mB|4l?!C9jHsq-{o4E_I-I(PRH`!^%hAF#eULIQdq-vkBwdHHLZJN^o5OIkyIV?Bi>5!f zB8QtXjwEoxCbh@RDwu@)=FPb_K}~IsZmTD+lfKPFO$|LYe5KS0b&~1z4#oak*=|#$`1pk|Mj7mbhrJii` zAzm`zI2ZWnB%i18vw3jnn^CO>OZjB1|A8f|qEGgh;TWxMsx8BIqMwy`?6$c2f536g zvAyzO?aXnxsWxZQZ#R08>lH>Cbf?7)I6F`5gstARUd2oE4gA8vU0JdpupVtEvXeb@ z1T&KQ)AQ$a&|5lIPNogZ+9DOv&5@C6lgY5o{8wWiEjx7^9TtK@V}&Xjt(g6nf) zZ{Qh|>xde$o)EPzQvWU{YKfEM!*x2(11G1r6iL{^Hu&Y;(UritNw;_Ff$x|s zPV@uAigpC5nIgHc#yZ)@GtA>&H%#xbS@dJnQdV=jr)~2|yY(amid_U_=m2RSFI2ziHkc{WJR;aQ6^jUeu zve-PihX081)vrEnqY^&y-=O96uf$Rfsjt!s;wOCkCcsTq&8nP zl;53+NUla{c<)Nk(o8)~iECWj>U(Ru52LK{m3~AL;Dr?FXggupSvT*-_Ci-I8^+cw z!2FLk3$SPAa263e{x>l3Nb`%1DeuE{U&U03ONMAAmZfYU_Cr?Br{alG;H*WE_MrMk zVoo1x#Vjxf{Xr>tTn0}-fokTr)?Vg>1j#(j36exmA|1JNen@QUYTM}DItVZUNa{2Z2b6>)SeLDngviqU+dWp6sv3LE^-o}@@MOb(p>d+re8cl>{p8fG?jiWvx z!hvqYd1LFLbZ&Q*KMaQKk`m~^AdMC&ggx{?d&SXH$HVnn!-})L$zdou$r>Oy6_|rH z|L+A@E>e#;M%#Rq;N`u4u!f*jQ)EJ!nWxh%nyHM~V9`1>N63`9Ls@R$Uj;0)(cF4W%CjZqIA7N4J0HWFKL6hu zIQZ?XI6Y1sLRsm(tA8p5@w?l3Z@#sUP%5nS;auMLf`l;z!^2V3+K&>EVV~z^L;O2k z%+e!?os?wzNF8kPn@E+Z*N5(ofTfAjo!*cF&9F{;Q>EVTHK6ChvF3Sv7FG*n*_-G> z`tw?9xY7eA35kj}r76`Y8UD!n{dR)c=RrfIbZcU>@pOqZ&e;l_y{6qA7Lb}$)Z!`# zg*m@;O{wjM9gy*~W-_ehBKLiirMfoK8Mc8;M+$6)oH3(h@(KMaC#mS zeG%v3iQAFFu&(=mS>koDh5U8}?K3M!gQ-ybUCs0wmk$08t7xyi!sLS^N<8heyojsr zwZ@mqq*{(@>kkUT+r7eC+X7QeXh*QgI||Hv`662Qph^qV_9sHG%wI%KQ`5k~*-8U0 z>-_y~^^K|?SP$1n-^><$uLNCJR8;NN*aLp+NX#&12qMs2rtB=*$<~baje>q(McGqR zy4zI0_@@h+j^Qz_(7>MTFnsd)qIAF{^)NkOb!)#&0P@SW<8IHSal79zG{qO~C8huB zFAAgJJ`MI?>{2HJvXilqE8#Fw^HxsJi`}QIc2W@|oK&$ZBv`(s1Ymn)Dyk*ocl z8EVj04k6XQA?u5)6a)AaA;z5zp`8CJ`uox%UWSd%hlR?fbF}V>P3rQ`vOqBZkE*W> ztK$2@9Yj${C8VT5Nm`2gYDb&_rW4JyJcweh88eKsc^VPIzI;eOqWNpMHPBg32#(93{0)`g~&F?t7 zpik844~~2<4bwR<*Vrd6u}0kJSUZ47&x@&LC{rrx=!xh85q{Sc2>@v4YWx^WB2`H2Vgov71@wb_c=V zY3<9q=eQ{XeSe5i#@Ig;>DsWRf(f}^J(<-%eI|fMAcLN&j`YD*^xg97E<>OO^<8{O@}tfId4kLcvi)u$6Xp3Y7C zv5iu4qMLraPQ_X%qWhBwml>PQozqfr4$|3ny_l=LLz_<%q#FO{33JQy2+ zM&`5Y@%4LnwlX7iu0)cwo@7%mQW9@4J!7E6r;zZW3KAmv?LsBh#rm?dfN!&pPfJ379sq#VNd8fiuevQ-c|sbNZW zKuRY<%%e?kaX!x*m}q_#YWQ$>1PNV$7W+A`jH~3}o7}oK_eBC}>obehswcYDnP;(R zZ)>&(sfgvKH9mEi$uQfV6>RrH@v1fl`!qIRpVoZ5#?}-PMHC?+EB!}t>snP(oOEU- zF?vaz%~F6Qzy&jx%IZZ%7H?Pu_eOSL81eY#vr513c4W>7nCg_ei^_BZzQ4tS#N zNk`jTvcOD=M2_9a{mvD_^0nL_C6Im@CatN~ipX`yf6g8|!6*m541lC}CiBr7yA zwK};~cqgZz4e0{ylvMh6u+VF`dq6HKb{MX{0$e`ha8*iP_Nsqp`@)2<L6h3JSX|+yIav0NsuCj zdAA6ReeZnD1%|*-`$TlaRF>W{prE5Yzzqyx4n9Gqb9=Mp0b89{Tu|ww9&n0!W6?M7 zgn7DSPay2EHR3YKm!wI16m`TD=oM45xqSeV=K1Y^UG&8-5#0T5nj}E|2Eikz5v)^4 zmB(nLr-8ms>Z~*AG}LyYMhT~n6WHZfUv9kD@>NQ)2N3+GmZ6~R<<2@=c&Wd7{mun5gy z1MUC@fddF@KwI$~wXzZ!WJ;@ifrKewH^9#9VW5y3J6+_40!{bU2=Rr1M6+^^bBIUG zn>T76xdpDC!>gGgiYyhd1M|uJ?W}iG{sqhXRyz{Zb_eO*sQaE)ZDjFXbe_4nCzZT> z!RsC{durD7pES(c{ydG9+vdUUseU&)Ojy#|7^L`amzM5WLX|g~q-H)$|M&ZpOdwga z#;X0Bmrtf8N>p?yZxZ@XrlbZ_q?(5RKSNr@U0Pey)zK0|9n#(x#tJMmgWr3Kg0T8< zU~Vd@T@QwP!4w7zPDa}?c+^@JG7zTpdOi6KA)`GHdNWvsl9tgrkfC;wkb;mhydH{X z-PaLY34dzEx?CMNoAXeR#xnR4RXzcG@^j~u$qLBkw93JFe~!9AwR=+SG0Sl3BU?Kt zjOyEq#ERY_6vW!h4h%hsc@I9sr1Tjbi!Fo>{C7trlAOR-5FG(A9SCY_bOFC<>fH;^ z3r2bObu60@*0dG=-8NWF0@G%nCa_N{5ta+2Q|VxY_I?!GR>kZou6=7isgM0ggES|w zz;lpPv{`}-k9MEuWabL`5#oUA2sB?e-k#Hi-Tlgytkr)=0Zj!L(nsBY+#Qh1YYfly z1yWPLspnZiryb|lUc8&a!RwTfG%W%FH^*dKvp?lTrs|E{kykdDF1!Huh36%KiBD9#ZH@w*AJYBzdyn2 zX{QMP{iM@@LGcSt8V9OlXul4A+B=q7p4))Kqvu5{DK)>>ulCvwcIN{}dts?yJidmt zaUVhUN`m3&bfhWWxAcmOG+8Mc2RYVR^)Hsrr-L95OwSlEEtOAD(gUTRRhrE^7gM87 z8s8u8?rE$u26~YyH-da?LsB%iE!-T)-2B1NGIlTs2+no69lSfjz5`V+kW_P5{>5l_ z;@(zXmTfCt3)<$b2P~?$?XA>1a#h+i$!nIuo@?M3UV1sm3eQfeK;934&-Q3p?t^b5$S`K25#| zR(GG)FbW2`Wj(6;pAGFQqcwYHL(79E#;++A+5@ZJNEH~caEI`NUq;wqyht2eVnbK# zQ>lqW+4F|;?h;w8Y&jO8{&FTdjyMQH6dZ5Jp0)I?R<1ms;+woNFFb!-`3wc30iSV+ zQwg_p2;4rR?yH&{#S${f0eCp(B~6pJ2Ze6Ocz2jXUt?MA;iRBZ3%-}UXeZs*Q~Tny zxW1WNNSIJ$cv0%kFIy!S%%v)bJ_yDHN@f52vP0n_^DQ%C`o09*^z3c6gAjhj|DqMT2lF%o1ModK`!5qqByRE8hjHc}0|96EyR^5gc>S92PJFMfBwbsH zn!y}ZpghC?x8X`83J*O$CChwKPURZ=`Ux@kf$NIueN<6tTh_FKX1zN{41HLs;$h29 z3ekwB0)kN?Ic-bl$dsXaZbB1&Hj9DzLeBJHa}kv-KQGudR|WqY)^&q#h2BoQscqez zCZ{~pF1-&$V14DQe}W|$?D$-Lf-N}(fXd+ybw{%~Sv2Gdk4Kof<&jNGQ&yF^ZZhAIx}D05R(}Mm*7PCr#&0Ee!OF(UhV{wh&{0v zoqU!r18%_+uHPO$e?W_xAz)q}1%CGL|2|tJoD`Z6t0u1L!RP;uVU~zB)Mb?Y{@Y6n zKw5$?11KDq&Dj;?2iW_ej+a)3(iajC6+>y;ytHlu!;j*Ii_g_qs`ba-N z9p7N%+im7#AneaZ{SVzyZ-X;^jcm#}m;$$zr01}_6KnR%MZ33|2d6Z8ofICiuoq9C z1g17vu-b1MhP&dEG48RV(zo&D+)^9WcbxCi^2;r~oZN05a;mzVWKQ*Nyt1t+z0xQE zJL(X}HLmO^vUy=n)3cdNEYTKQ7;9t&stGDPFHSG2=1;t6W3aAAJrw|4C_oQzTm9Si z7={<8BV>Phe{_I3X%owt>x?Hs*@$alzroV?7pibp+0kOg+TR^%{zBtfE4GR2(#e&R zw)_^#;l^j@rNog#gBpLDgb;#dDxfc}{xgR5K)ZGd*CoG_PC#n;BXYp6{Ji_c`{!F6 z{VbTUeex{#5i~BSsiNtc)2L@hLR&tf3-6&u!R3$mVT+TIAN2H$Fmd#}e$;2{VZWs3 zg&l2(V|OxOruEuOJMucP_3e$;T4$2{ZLuAHh@-e!w% zRKT|nqGb?gsQYU#)!A}YIV9B;ZcBL|(33fN3+@WoONru5298b=-loXYny9EQRrl3& ziQ@4n5njq`zNLBoD(5!(p#!HtZXks~dJ3w^r?OcTmrEPN%25qjm>$UuXGKf*cWjMr z-FWoxto2=|v%|ad2g@44n{j@<4NrbplAYeKEd-Ya!<9$p@doG12V!gU?XvB#KbB2l zM_a*1FTy;~+H1egnfG=5R@`5X{bRxDNtGUhpbQuR!M>x;JFss0sE|o%FlX4kzlUE$Z;!Cb?Gt3% z2(hT9JIY9;hgfdx)hFo)xi^zjO~0Ip14xQ^PN-QxP9U;LHJXN{CdQhD?O=pPppu)HhHrQteEzur+V?$Yx1%k?I# z3-L@Vm?j2aP9jv@U}~Q>KbTf-C-g1hYL+1^uL9HOvaeXLX`!k3#m{aHmNX7mN8ilq zG+r^-U6)rm$3zw(eg09tl8gK=7?}*WLdafQ4cLHqs`H&M*nW5*C6ofTE9-tywTYbj z(&-Et^?xpMk`7$wla!;1F;hcsb)@<0ndT@o;Y7?n@do_&roGl~usYir<9V`~&P6bc zmAGl1Kk9=;uF8yH7MhB3;u9R-Nt4CzAzh>w1pZ#R@_tijXV{n9?kr$s4sPK_cQR})L*P}tx$sj|?~O3ok5Lia^7^jlIb{>~ z{Aq`U^Ipx6Mju}6$C+z}gF`i!6`N|IX%u7kGE8Jb9^CYDGH8ufhT0ys?_}f71Gyj& zJ?X4LaXwrQI{46KqgNc{6=o-XWP0jqpe8lNgjv)p;^&7N1(V&OPe-U@PRomg2j<&- zep#?7GT}9iv?lcld1&YDZvGPu?9hS@@XK8(6qx}l-q-lYx?<_{_j15B(cjyJI2s~ZCr{jnDx}7GfVoLh${&5n!987~=9O^IpXq|`--Gc0d> zkk{O=6;wXeE}wE?YP#4$$Q?MnCultgv&p4~BU*P*L^qQV?h6|0@2#(TDLb4Zb`VHI zRDWmuyef69D!tZr=gs>fc6Yc0#$Y_+{9Us<7Q~+T;!RG0MOb0|4RZ167-J;k?j!G8 zMQMB#T~IiHI-DLwAvK$WYWeXu=8fpnuYVn{4)757f;u+y)ahScqKjBP1&i+W&1t?c z62KL5$})2N43JqH15K(u(iE_L-JC%5t!Ax>O9}nF{N)Dw^MKCgWU9*Rd{5}Ux4V!E zjAE9gupTX4%F#3D70f4fS2kI~%CWJo1}R5wg0-af@*JuZlQ`IIpe^%2g#das_?Jtt zi@ni*=-T0Qw%lFuYQr)*v7wCHC`L@fIT6v6?yWI}UX)q`N8rV#%I^5}jU<9RE6z=k zH-Wf{Q|Y6WnGTM1ul#Nkj;+5&jy3P`yww+{*PPy*!LP^Qk#J z#ZHY(|7$!JErsEf17`oyx$2enZsin@3Lhep^LjYV*OAw_Hf_fuNEOE-RMI_;Ui()$ zjvjrOx3)h}o4CkM@MfihXKU>vh) z!XKfjxh1J7Gt8*MC!C9MiZXz5aay~)c#?o8{U({<&A9w6y+uGy0cdp@c_p;-*o)kH zaXPmSao{Bs7&|W(45s$iPGEfK&Ekfpy%@;B2@!XjP=2)@e5*tHb2*8w&xT4U6b$Jl zyBe74?dx?kO_GMtn?vP|BwdN;wo&^^s&0!Lzy2b5b%yx89FifsP<-!|gCWwTiqWD3 z(#jJs5oQbb$>*RZh4O1B=j*fM1@i}KMg=o7m7K@$K1Q5V`;8tA$%*%Ba`AZ5Hlh7@ zl8SQIWPq{8U8T>O=L%G~V~VCe(+@#Q=cOU6;)-nd<{iEW?VDi@6X)yhSZA(b*@UNI zjHiT*%KN5H(8t-K0DVV=H8hsEZxji;t z9m*i*8ZIYTM;OZZ2_T_yPm9WkAes(wLYekky2?j32u{m~&;teR%KzbrXxIaUd1gD=iS_5wpimtz|glg)THi%XsZ;hAEb~oEGlTiP5;fg`TR}- z)PMh&>f?uNe%!fsh<}w+%}RRWx0Y9yK-DyczEu9?-3QHS29EB6Za?Hktj@4wYPDj9 zX4n^`+>93?0jXGWb}#`5&2e@TO@9QXr}o*=F&5XT%K|?KMzhI~l&9Md7(0t{YL%io zopL&BHCbj4dv(i>?K#XXc-*j5YWr2|jLO_<(^Fz~G?myP^4xWdx|(0pJzH$HiJ`e* z(hPy`C)Pb~JUv!wqx%#Z(qQ0F58KB4HD{#$@;&i=y4nXh^lu!U+ zzYFC#)O~}R>dk1OI!?i6XK9=mDFi*AGE;7|R2F56HID?%WcYZ2F-EXh`L&d1Yl{W{ z#7ldW$1CSttt~!`F5-`XwQsbaP^hH;>5XO;&~*f;hOkHh1)kr$$5z?$GGOg;{SZcn zK8=;B-#75polH~D3h?z3N#1Xl0=(dUUtTgBT zjaF|ZqSiA&TsN$1^DswKbb+X3nL7!?2zHP=>hQ45;>v6ILEsbSg@p&eMaEGpo@x+M zxJ50-zi<$*YGWB>$M{Y)JzDjqr6@MOmN#+9kuS~# z?8^BPte4+ikn*|}$d8b^tE?rdU2DnBd*9d8Lj`$R{I|P#S%m=1Ei1|m@A}N1=bj^I z)y^oOY?n?D)Ahy%&7mGOb8H|!fjXtc1p@n~>ZUXmJd(S$pzQdU&BTOS9>HEW7ZhgF zn9EZ;Xn%zSX>?&X1|r{-E)U#aSYVVyy=nC~JWYWN(2AO%&~0)Bx+5Ze6nsOcpAn?- znS(_LPsKk;U@QKH&E~ugMaOih`s(c5Hw7nB*Asuyse#si`Yd6~fY0Y4b)+!>DWJEB z_}M#g>hJE&Upq$h##{ey>19Jw-jQup#DmROO$Y*k$SRwlaVmz+f)Xhj;}_dv8&U3M zL{IsHmk`JwlEqe|xuR}Tm(P%a1|{bf*4SW8pO-(nSMDd9HdMCG^lL%DWB|qS0vIB? zwgD-n+a7;(Wn_vHM1myJdkyiKoxRhFMS{rETLPJG9*|weSC%dw0lvGZd{`;Ef52oZ zZPvc-a{9fDrPDm3Opwm~x@T3cURmVwtYN{S<$Qxq*#!CAC96y^_Cn1imUb2tB{lLO z>f2YTl>Si75dE%5`fg;&Zhc9(%fJ~*sJ#vQ&JC1CC%;+{sbci-GiOEravI((o?y&_5?L?D&tEwG8rnAtzb%Z)W(`vbjwcGtG?ZJ{L%#X# z;DyhMYQ3E;c^U7+Q;TK42X>PZHF&4RQ?H`%GEUj-Ur{HGddU@a)z%f$^k%lr8zhek zs#a-cLf`}Ha;Uu=c!hRelPzOT(N$9&8}dK3_QuvMyI{E4-N6z~)Vii7&EMutKi04a z5NwZ=Y&@o<1Z=Sy#=Fa3m#Kq&s9W1U3Rodnt=ib(&9qlPKOjb7iBygbq1IFH7fm)s zE)vo8&RVg_1M9xAl+YGgB8QfQ3us9@WlmLQxR?20rY6`I2eS>N22c6SU7!o zf-1QGtGA5P;U8qIniMCopHiI|K(IQMk01f|he#qMKtCfNr0oxmq*x#MrD7c)vLpSz z0bSi|!&GjnX%!fF!^@}90w+1P&l#xOHjI(0bL~y;v4PDNRC}A$TTA&-s`bJ5SCn6s zJ%YG*`+{{}xkpmLA%`#xIHsrFOznt@)yMm(um%{BxVx1r3?yNgA0nl31iLoLy#%nA z1wOZpW=Q~PMoqJd+c-tF-mLN<;*6#tMD7Bt>+}-V7mcp0ygNKxa6HlA63aKlgw#Xi z--@z(<*-f1KiCZ(=`RlmB`Q%=r?lMDebX1DdeT6-r~zkFPWyyDL~@-6xUDK+3gd0C z6F}^rmpVH1k-J8V{*Ke5H%l*St2+@EqGCVjC5tQ0atJ0#(NcG}roiR(GF zFY{olHOqp93NvE$&u#s;%yEO^bp;=`zB5+ChN9SVrI>)`?3IHJfkzrfiN*d3vut_O zoC_!R&T)c<0&EQ}s|jd(@WA~|qVHrc-L^Jx&qlV0;&fH828iqt#iOZ~cPLhD)K8!Mko!gU?9n|vOEEGwERi3b&X)T7{MEYE#etutoPRUmy_!nR6P zfG&P>?}fsvMlI+ot-MiB^ChqVYn&dZI8jq^5M_SFCdr#k3i=2?Y1o51?9chtY_F=J z{?O%8no0n0)>5x6@G_yvHg)sfcl3JOv}24Wsb7MfQU?uj&a9KSFv*|Jrr*1n^EE5!VVfT^egkvtHsxhYTc?sNi->xUkP2R^|nS^b&}y!&8BDx zy;*|Eion3*omhmTsCWJG*FwV%-FC%Ro`a5EQ+Rl@U?Qd3vW#Uu36nC5oeY`-@Y_7O z&6=Ne6N{G!sHr(+p~;-b0rjmSnJk6)tfM*M;?2Pl1RX z%VgIcSqbk$FLk3?fPUJLT)h5Bzmy-~9q#_T!ggv&EyWu33S0+*$Xp$;bg$1T)kIXJ zk9R}=?IR9Y|IfUZUK2IS(F9kzldeHk#FBsw6P2attEOcq^GA6h2QC~gjg!Hu#}@gl zkH$8nhE}$5A#rr{CJ$^s{Mh|88DNFcY2S0?3Nt(nEKusvmU<(kJxI@V07g9m_m_G5 z@C3hQUBdaBx~k*LygF?b?Szi;l;V;s2o%WhM$OwE@GeB&9cPG6rCVRFWiAN(LJG`4 zb?Oo$(d%_lJIrPV<}O1h%wB*|yXW-F!=n?n_eWGat(2FE=gFYyj3QPB~ zj+qh^xEf;lW95cD5nN2Eg{|%#xjil%_GQICP_qp~;QJ5ov9z72Sr1>70Bsr31Cm zd1os$PQq$d`#hgzr{Iei*nSM0<0kc3Q~VuGH?Yx7Y=Jxw`5XLUqe}<~B-ojBy(%bU zxxjM^(PY*R3momMz}UvxuscCD7m|o7m+#SOw{W!(I4;ma`so#YfYM*$HCWQv64?VJ z$otXI7N}=U_UvpLi*C1n!|vCuHzYXAFT~@pdPb%Bonx!w!4iB%Xq6_odaV1!Fqd*4 zd?R|O7dbBPr?rB3A1;TtuICdbJ*z|8%I-!d=jgHldy4{^RB=ZmQ#f{_5wF41~-1?(eT0Oh=G}FbVO@pJ8PDYqD9e943D6h-)4{Wl`T@Fc+i4H-bP!l z3Tkq4ZFx-~EKUFS6+0KH4ONi{dH<6qnda0`E^PEPdeN$Q!B&A-W~raxE&xj7Wdl|` zR~_?Mva6O#@WO?xUIQ=_3R;yyP z-?e5so@|vLNjb8s=r5RVfk?)Y-Qi`3>IKKl`+C7197_-0;PG;39Wxa-$McS4$Aj%9 z&zJUP5(}23_8I{r3?uz2si326&Gs>TvrzL(kG9%M zdJbdI-38k={84C6C&iIA962DC&~Ng71u-kUQW#VvJkt&q#ukVqbsb-NT85->rJ1N$$G<=EU1Y0gS6G=3QzXm3An*o2^(K#nTpiK~H zs!PUr*{mFnt_M$%R9>Y#pV&=$s!x>X0m&V3?LI!AeT=NqvC{+Mlj6@3f-?SUiV8~N zSO$&2lXa;DpLbv&0h9BegxH07Pyq&W3X|!g6gPD=14yyszW%T{IYshsv>!FZ&1gk3 zRXg|l7-3cI#*{r!1d1z+3Ba~#%ZY=KYb&87@0{qV&TClTs&i?jYnxQ;_+?(f<>_TD zu`P!`Sau8!)A)od1(KASWmKz_Wwl-ZVoCkferR10$w`0$`Jr_DiT%_|K!dE!itn-_ zYgUYVLkw56)1qEV{8h%9bMG_j(%w%55Ea*MCOiHCdf{Nnos3!UqF76fC$-FeZ1|HE zg~ZdkY^n0{Hii^rfnV9~8chXR{c5LTx_ddUmKrR3q!z6EN<+d1w4MzfFONTazqzgb zm$O-4d!RzP_ddN4!k}7<10D8HgHu-|%I!HNQ{%KZh7o0cA3DG(dz z2XA{hI6i(a;`xxZGB}8m6FXYZak^z~$*z4=HV^-*v$e23y$A zon^xl4UwBrS{Tkp#(xebk0Ji?wHTgxH68XnaxijtD}vpFT9SUa!Phg|O18+?N=P*c z^`KR~=D&JJBqEvYR0<~nQ>i6|cSdCj_)S!{tV;$TH?REZ)Zw3G1 z4L_(kr{e}dB<_pY;9KBFQZLS+aoXRXIJBY#d!I6l2>&>(yv5F~W2=OcA8W9htu+5ZA8-jTO(lgRQRqEe5dMePToPv~& zUb*9h2Xc0aJj+rH!g>{qNYSwQ_sdmNjvZZOk3MVJw)tU1G3H~|(dE_-yNV$SGQU}1 zxcFJ#op%7pm$Hn!gGB0sUb%i44#t>ijv3I$UA_A+uv032FNQTSelV&3j!2(_oB2(E zERN`clAdSSz5rHSs{NW<@Cfa>q0aNn0u$dLMMC@c2e6%y!H){@sM(pgXFR-mo(MW) zO7Py<`bv`eSP0zw%wM*vmY-mK?+8>*dyv$ES+I8_?Gfk*t>r%eNT7CY>K)$~xlYsk z-*XJNj8w`cW`QV28cP^INT7^(kB`dF_yr%e|L@*h`C#66)CTks4#^F859@|Zs{f}D zm&;tU$dm^qQeJVdAS(2w-wtDbJaMmm{~Oe~zF_#Gm|ukip@l>sD)|Tt!mO>Dr5KOc zqf{gHHss>pgpT)bsFQrLd!F|USEzse#M5-^lH@A>2MzJuMc9SIY~K7qoPp`a7RWTK?%$xv z95b$#Q~zxs`=FIGx7m2{xF=aZbDuzfG>`H7;3AZ_(wS&g6|*hR&?PWx6=|<<{d{wu zP5KfmzjSk-aZPP}KsKXCTx5KGk%zoFx~1nI5;&)D2g>iS6FdxzEm1T%s~NhRJlHsp z;A5b6{s*v+XX{l~`RkS$y@X^whNbPgexEuSH@ynNOlhZjEiV~{U539aJr_&5>V1T6 zM4?(I4~bI)21l0QQaW$UbH8qL3gD^x34aWE(e7ZFyg@E5-J_mI(78hN7-VV(!J#5tV10=Q zXx_th=`5Z4;&Rwi#P&hA$fqucse%=7OB4;qODQzFflyE#=fz#+|5(xbIqdwi5));y zKY&d!^o??sAXN%IWU3c!?OV2*jb5KAmw?qbdV zs{>B&1R0p!R{7$B`rRd%Ht0dpQ$w*6x48~MK4xOsu0Q291buCwKFRGZ2wdV;^ZqH! z9Wago5dk%njRa0*f|LVrKYh$rMG73t63jh|3Gx)Pmo$p=q}1T8<|^Rq4$P>OGgIgt z-KhS!{)mfc?IK5h@H2a%%|2!$VdH?*8<(I)vqNiI3$*}KTMV5gx;wEh!pGU3>K zsD-P>Y^%QKQeMfZQBZ*r9m{dp7yD?c@Vo-1%@`5}!rNwVUpHx8>lAs{C>T~ohb5tc zJd}M{1yr^tL27@_9Nu*Fbq;z-63IErs~rei5Y-za#V*a=@2G7q7;hO_K^C^a zhCS?QMgZ{U_>b%6oO%RGgI~yRM5kM`e!>o(*mC#g-5HIuR$rj!LVpMXH?@Qg-|b9Ez=_fnx#t!dyd{&iDKEmeE7eN3ejM$HZr|zxG&=OP-ZMP$31-QQG6n{uMOO%QseyW z{kjz~HFR$h56*29Vd)63lv@c-;)R^LO|?ghQgU&6{izynUv3rSXfhofs%!=t8wGj9 zVAo5sdl6!K@UVL=t&jAFCuQoU2nYKd{xfl0lEmAG6%;My2 zrLK~MO;I}DTFn+x=r! zPj(?Su!9SW?5nIXq*;W*Me7kp>_fJ2ixbVAr|7~vSbqNtU}Us~oC*;V3yfwyNsG8d z&-zgkjUeTzTL+qZ4OVKj-zk7yUdfQq=Ppz4Hf%f+ZWn8!3(Rqb}VT4!Vu7CGu^H zp^8z^-Wxn7m1jmS*si%t+(6(o0~S5XR$cMe?Eg)Abf+nZS0-wQHDV2_9w6z2!9F1H z?XKr|jKn*Rdx zV>q(&;j+yJZ6#q&FoW{WLA7CxbFC1CuC0Kg%oQekJF1cysMj!isW`@t-{As+MYYn# zgDk`LSqEMR>jumr=#*+}8y|UXu{3Cah&BI?0NKrF1kGqHA)DMk&`Y3VGg7ROoN4|z zFl!zhdp(Ke2Jp#TkjHh0_SU~^eeS`y8Ec{it5kiG<&!jvrdxiJXTZ@=V!UrY5bfRPoU3}<;p?~?eTDk#{f*^B% zC?k|Ti)S?N>n5}yl0td{P=)F?da6l(5WFORe5+YfH(cA_zi#eIY$uBpYv^!4FQq>Q zpS8hd(K>_hnZ5HX+N%HX3bV31WsdiBNnKa+4qr13Ap%>Yso{E|uue!VGp>L3FhOU$ z4RXy0`qsKP(v$FNLQ3zpE{~g`ZcR?WT{HgMLLoCH$42}xi?yXpx`4eJ8z=os@&&lb z1T)?2aKd+HG9V2fwc+3E$4@T>EN8)^Vo(|0$^^87sqrE0%${yHNC3KUIwsgB9B!}( zK00TPg*jCe;7#3Eu6g=fP|%<)>%w$PC3VGQ(Ge`JR|El#o1%qhhYneFKRBr0Q<-cW z?$pu^A9GlAgLpJAuL{FSI!Uo4NX1w5NmQ~Uyo+&Ya;fw;ugvf5%>{j@=TZQ-?D{`Z zy&;q5&XNqGai*!5CQ7F6&ua_kcs0;XBY)vHfc7*nhs$9ctwI6HyG*EZAmx|cSQFb) z=&}i(xp`EsqdH&c>S4-1W)G4yl?F5>RaGVkCYLzN~}V0t~TEbzf0YcY2W6Z%GjvPEf= zOiNxSzp~101Zcl|_>U>iSy09N;GPPe?4zBKlFRTEXYk~J1Wj3cT5BRSPujgWsev%} zC7ulbz_>5#=`riJ;op@f;ollEfBrWi;dHPj{bJ)Q@=>=Zim}6L)wUzlCA%h#+`3UB z2P+-SV82oIL?$$qIdQxO=^k)uzJ391@n#ox1CTXIOF7*o`(aJx&ug!yJYO-ea6Yw@@;LZaQ#7D>2>XJYr|3@mHDu*4 z?*~lol%Yp!?Qclo7{b%hm#Iw1(X${Yp<~wLW3_k%Ns~SEQ?d|n>er_)=3bA3Sr~VN zKO0m64P0PH>cQsM2X)bmj}Bg67Wd=4eQjbYb?fZ5Uy~PSi9`@{=T<`YP1o;uN}vDK z9G&`vIq0~EY$(}zrts7uai2F-)i5E%m@m+9Q2dWQ>Pv2A*Mwx$Y^6kK2yIgvoM`g* zT3}KIif%?_;u1wQk&`q5upV1dthA;^7{Pv+=A$y%{N6X`_3nHz-yMQ=KR21AA~W## zz1zhAOk3tRy{r8n*1c_#((}ruBX0YtjR1jyPYEk~>q-FE{xeXVU6Ojss99RiGC&On z)go%_6RBcK{M^*Vn19Bua{g$is>C>Ff8gHt=3*%&PjQN#HS_b}V)ccnYeURR)ac52 z!UN8whr}?bOt6_VbU}a`u(ox2!|FhiEacojCy zN&FOLh};$QX~7ZA{qe6ZnEe$i1kN{!s%sWI&Q3Il>;1eHW{LAPNSk{%0!CEdMo4UM z7Gd{fo8>G+do`Tg)%`?fWG4mj^3F82ySY`iyEaw3QaWileBNWP%&!^f{@nD`3tKJgYXg8IBIyiK z^Y69yt{sRyp5K_%E*;u5ktN%cPfcg)NGiMdw!L&noWHXvDN>U2M2NvI?ztvtzhnf% zU`(zRLO)Ms7C!iRc32SSA)bH%9NkYxPgCp&HBJB$q9Z7`m%1wY!Yp@L>OX zZ^6R9Ne+FzqnkKEYA#nej)<}ooxZBuittoS$7dD>A6WZl;%W|!1t9JOWg!f`-%65S zb*NQ`3>5;N9gH&?hJ0zR_)b)n{45~OyiI=gw@C-&ST$yd{=RU0aIUk1rt%BnJKIO- zbGo+KdGI9gC;nl4 z493~d^&-#>H+}dWn48l)yNkau{MRu{F!60=5@B{%(x*DSmrjivn;u02BbVJ%PWxpW<{Lc!|MO z|Is5>2z*y45Y0zKSLR`?jP;}aH&4jJ#XxBTj=e%7_kOq+p8)1Y12)kouTUxZeJ#ws z8Jl{_D5N9eydHh%WJ;cqcAbJB%t7JEy)o9r{D+w7WI&w5#uS&W^BC!Fyy2!BGdmF=M}oM2 zVP7Lql$NGmerm=u)pBJ3e@=I!wlI4XBia;ZX~Lx(e2Lg`BVLx;tGZ3OV5nfV&%sm_ z>uue7i^p>o*yYN_3>~f7Y!`ZYLk$}1*Dh`!i*f3xRh;6mx1z)1K6ZZM-9=u~{QHu) zubqFe?oSEG0njEUqgbnNycgxBL*ph;0kDZT#5{nijUXIlZL3j_fqioKA{= z^BhbH+2=6SqX@SKkXTug)OBwRYYi_?%hzFeTCTO%qX|=K*2tx>eXDL!Xo!cDw%5t3 z3IW>-FHW`75E`4sP%fG;ycfLkT&F|Ci)jr$Zy$)Y7ktw7n(gL(qQ<*=WWP5kaiS&= zr;7)V2*o|fJ7SZ)eC*xbmmBAfFW=*G`FcjHLZ^xPt}>&O988-A2ZW!d$i}TC&NJ z)mdGqzU8Tss?E2WBoTObp-+kWt3y?-h zhygIUsCgabcSp**KO6x|!^g!@=0=ke-U;!O48K)zm97^#% zaoN@>k1>-OT%qPWX9~a%XQmJ#KHzZQjo+`&4ZaxMEXw`Q(#@<^D6RA_oMIty~lyKf^bt9Qne{^HH!w zIc0ZwE)`?7fYj;Vj@g@EZ*toEhPwCVp1Vk&7)rTb7P?uycZ;~o4;SUUvzI~kW{`v8 zW&{%*u&q_|DoH1?UbOcmF68|oNW%sf?aUzx#zl?*CAt?q!JX08ZC|qlM%C+7X#3(H z>8_Qgs>w(ex@h!tHwAjWrgF#f#GCEDa=oOWiGVeQup|iuIwk+gQz|9=@s-Y&9)}Z% zRubX+;>7JWvvPwiC25pG!4g72)nS!ImZoW~bUz>4CQ!qS>>|f){EWj^eLnc139Szd zRm)8aMl76O_N3?of%x`4TS2zT^c)O#J=MeCc7wLCwiu%@i-G`#>z4-rdAKWw$jfIy zK(5HTlAG(C+GCYBW-Cft37CEGZwqSp&v!@kDQ#G#nyKn#pWMInv=21u;jOuqST)fr zqBE~pK09UutdSC=Z{u1bM(-5wU34%^1!0!}xP-w{af3j1@|g0@$vT*+yVx zE6`ld&jFqdypda>osqWhhmV?Nf1hV+wY-n#N3Z$%lo;%#-&9LU8?;Upre+}mUq(uw@QBhOinx!2WU2VPd7}t7o_5^y!r$Z zHzaV3k)%DxOPUPSeAhOPYh#1mN_VyVnXr%{1Ocuc$0|LWA%2C$?Lqd-*TCcvI`aF}VwWWKKT97^)+ainR^8V!vQXjIv;5~d{5 z4!y1ge-j+hd>?0TxNOKAV2h`hY8_bGy`Csl1DG~kC0k(5x~G3flNQ1-Zi=1-s^D53 z`olhe2h>I>MoA>ai$3^3jXVf`W5{vAihboJ^DqIIqFR*@Wja6@Z9tt)zN41GsJ3&n zY~^dgyH)3PD?#^-KgKh=Cv8`*=Ug{aL#=I|9b7Ra^aN_Y^z|*|NLZ2h_aag_xSV5~ z$AOa|7`Z0u65Y}YrqIc!vSIa9STg_jcO@DEdqpDZJ0v=6$O9P=Zkn_~(Fz!vLv!Zk zP}tA&8}Z6VhKPdVTYnNIEkXkmsm8~R6I=Q5iQw=FDuM8e2SF*odkcP5=*Xj zZxyFOe;iQrJ{vy3;cA{RNBCg5PwIIVD6VhMx{$DhyR-Vs{U5U4GOViS3mDyifRfTB z-6$ccv?w7hDGf?@r@%3Q9|#iCjnXaMEh!->4bt6Rch158``-K9`Jjgbd-lw%HLK$y z3FZD77y40Y)waY2=S?ATAwRyhnf?|4Ms;(yB#B=Iv!Pu7?fY5WDqME@CFem~?61=a z(z8#1UmO>h<)AVPA5+Z{ET{<*WE-^<^_sG^Tw}S1Bz~{_gIy_k2f^S=o=$FPX2D;_ zyPIS1V_NFIV!z^_uv4RJw`zv6>;0YW#yx8P=)@qko|?N1)AyEW(hiy6_3*)fA;E9T zyzi2kj>k*n4J@Gk4~npfp9F zHwmZ;)(k;o6VR*FPeN$oE@lU#YZ{yWb#l*^l5}y1TpYMS^ux4={Re_L60TQ$h{OA5 z_U+Xy#f7_RPzD;L93Oh?Si~K|Wl;!X^vto?VN7hbZ$g4ZF(h#<(#IY|I^iN^FIn#y z)}YklqBN1J5kdq@?+|}}YYA#9tzh49x=C>VUd!YGO^nIdX4pNniQon+mS)g+1~6-+ z*U#SOPJx3I;OnpYit|Y!`)9vwN~MMcwJ`Lf*Rbo05CEpYKN7Dqd~_fWybYhep4~ zv2H-F#U(?8O*t;A`SBUR_wJwEo`LWot)86b#@V9Gyp6Gr#vXQ=C`4I_^_o?c!A4JEYru7lR{G$~ zJI*BEe{=SFeR%&gzP481o2sPj(l9;RuYW0Epm9^X&*CwsF2^|4%D~D<8jgYzzMw+@ z#nVK6#_Oky!l8t(BszRgW>34#!~&wNV^T!8sqT@@7}1HPK!=wfimh8o)CK(~pX`Sywe^pvpi@x5My4P?_w^RC9HxdLY(UQc*MWIyNM_k>Wz zVyJzo`uoQ3u3t-^ZLwH>GM7Xyi?|JOdgyhcS@{zNWeD0_@tgd7I+r~-p356s6)1Q#d`pNYJPrGUQmw^Ly^tE5V z%#`gXnQVSqKY?&hLa*RDFEn zs#DQ!Pao}~CBJ6H>t9ZhlBd}MxP zD8~V!O2I(*x_W@qo@VB6p$HYumTSahQm|1aWIcgK+Q0wiWbxnPMX<`jMtilR2l>bj z-?(HZK7j=3Cf}4K3U2}_o=uHHjC%Jt^xXw*I&lFg3)o~x?vZZ80Du4=yN-Y{xdXee zHi7Sa^Tz%Ac$@aFHAZUp0iMj{tQPqPoy~F2tb8ZwZ;)5B@g-(&>-Fw%xu=@Z?f?1 z+#51~_GXNlOdvl!^qqIrvZE_{s&}D=U;x=-Ina;cK|g)6N9S8 zUDaw&pSTIewiMb;e8N6BimJ-Q=XR#Ono!b$bFcOV2XKJe71qB7Wv=elJ3#J%hucnd z&5>AypXU53I5~xh@F58eyXYj!)+=i=yILRfPv>oV0cah#He!bYB??an&WW%;lIf<*h%H>iJZ8s|zXl>-S zG>zTvi$8l^*V`FgX_aY*Ek)#ceynzD`i3~wz{&Va%~@{qgh>dfcG|xpreFE+Sl5}| zD+HV!jGxRVpd*I|q&5{lkX`#OuO3Q&4=R1C6Dd}bPKdFSeh;u?Qk5=a34uE(?mXp1 zh~u_z1ddT)-~x_OohiOw@GTD@AH+So#XvW#SWHOQjKd=Psj(#MAr*%Rm4LyV3O(3! zhFUSC!)A<_WX=a%qenUyK#dW{#CI|#6IcYHq-!yunAjNbSPi+KWiR0djlwxC@B+`Q zq;sFFFV!6!AZF3?^>owwB`siFf_BkDgfGl@P$bB!L6Qy_O>zj4-xOpsg~ihMRL!Gt z@UjfcpsSV=0W{dfr+RPEd~y+W2|*aWsBAW)`3#&o zh>fCqh_XwFX070cb^_J`M%B=47Fdhg?!}eLjM{GoT=5HXvNXH6O2DB{8Dh@=F0;3x z+i5dioC>n)(CE~y)cc$TJopxV=)!-2!44HMwtmA?rveq2Vl8I6zw2T^I{VT%y@74J zMv-BT+TX!h!y3%V(q4QFl#W1S%3VclXwJts8Pv>0(!-#6Gud4@O$nQsR=pJZ_1Glm zHb#$)djbF(%T%lQ#-}l!$kKrU$UB<9KY=yZ$)(!7s}xxVHm5#wK+Cw&)%Wx%eUe9v z4hQZ)_bcOtH=DzPrL`h2EF{3O&M+NrIytci$PyX$Bq3G}aT6Z<@WLG&O&j;a6at9c zvs&{HYU++a0OUcK!e1mv>YFtduHz91*Ysk!F|!|l44HHo!YwE`xT$|_f3b8!T0S@f zO`m{144P#L6C;H>{V!nP${WZU;;4Z|<>s*gQ5MdfJ106z>#>C|NXUbm69U9Jr@p&K zHQ>K9NJE_~H-24~sbK?x@DdbIb4{#bDmF)1PLK!i2)Mr5#%U8ib2zRot(g@12r$R% z6S*z#DioSvX+8A?0q{9RUv8i8Yyg+&-TbX5=h^n%TkoI$HE|SV{0_F+?ZJWu{5S)d z1KeilurK-ka{*QAPo+y(1*la_WH?M(fT9Fr$CYkcm;!OYU?6aQl^+`_c=?W1kqM`^ zJIjX42t{qUGouX4A1l&zDvZ3J>3T^pL>B-}{1dlu$k#_m5F5842LOcoUgFWk)nOgm z55YG$Gy<>rsH*2tLTi~XzIFi^+zuVz6o3rM%{wPUdZe=QB)?BCdfk6_e!?F3-fE@M zj&X8V&nk<1bW5t_V2N#hP2%iXp8KDR5w#CFE>eT&4z_IPv@Qg>#<=1;8Xj@MSP(4c zbp>*Nid%yJ!35~s+~Ibvxxo+FM|1ElYPnidm85%9b_6BFZBdvvt7*R;)g_9Spx=4T z?p9{=ys_{w0Y81KacE^LVnnmnSL}0l(^iCq)#Ul$01)bKr-L^3fkUauSDRbz4Zt@-2? z=eil0=NPE8=FzC|F0a7YGiuAqi^Pw40lR*nfOTOd<@*y*O?GE*cq z&-gtidInZ8)~ED&zii!9!x`LM8#O`2aPN$pip3TSF6#Geg;hm0Qm-8_>swrl1G6NM zX=m8)K~!%*Y`u`5h>8ght*Me{7=i1@P#^8y5RSW=qi;=P1 zmovwt8Cwdi?(I7wqT?&3YC^9=b zDa~fm=7_tdEXs9KpHj&oTA72IHq{82^YgX4#4xm1dOHTvzH@{~iwoISp>7eIP_WKQ zefTl?ewXV{UT$A!KqMcoZ-dTGe8cAv!;KX25L@$)Y3DPo;v6RwIgdqy*Nn3N3SC|5 z7|!TbVf0%nxL2=9>@Giw5lkpde~y4TWIizNUzg}3>9MefWW4(UKz)a-;)=h7!J8f$ z_;OpR%e!lLFkn_{=76@a86)g7Rd~f?gG7Di6~}YwV#pQ~iZIKnSwL?tQA>DWKA!{yR6V z`4opX?`_GXc&T6n4n6et>(Hw=TJb7(MAEIhG7en>3ms7j*KHHv_+NHS?#pJWv=NWR@G=00NCw#u(-fkP1m;*OD=INtrPG zIU%+F**6~imnrPJoB@S$*&ZY~kg$1o0$ddVJ(?+hS|?Ye{pHu$^4P(C2rC4AVtK}>t?0aGEwegtoVFu^ zTL)cv&exy&z4F%<=4_JG)oofJjQGd+fq<0H^r?u16r$;>_#Rp)24O8EcgW+G?*2Es zGd4Wp=HjlMP(1JRQ6#G@8phMsFC*+4V!%n{hCNke@91b4178EIYMNY3X*DaBfeM<- zSI1K$TO%yLGNwqy#cvW~eT1|YxtEGpV)yTAJu~Xj19n()Or$xy@JCO67$m{7T-Qo* z##kSmiFoghx7A~D-S_>rX`W2J>vsB4E7>qw3|Hj)&(O1vX6Z{COW#@tt=}OTf-n%i zO~8rN1njFP%CH#~8H3-e;z8npHs$=vW41lv%!JTHy7Ap{UD1KNN;={$svJAVw_GfX zP@@1Oq!*_XQCGzizlfFOK!3^&4ZFC^0E>(9EH8&>{$C=kk z(J;H?;Ui>7zCtTk7gYMpC9NH_yV&G%efLn%CG~+i1naV$E^iqOOC0TpTc=2M8}inP z#(=ORo}pB}NlaJccOhT*_0{vf#eXLt&6e9>{htbM|3P z_y#Hz8$?i|2FwR->p$L{Z+3m7qx6EH=n9nkCzHx`KP4C7Q zr|Ak=yw&vh5STK$6ip!yDd=%RO)tRWp_KYp1{<~>?w}PP(NL!4J`zM4y1&BF`b@>v zh0g}ms#@*L+nz59dL$6`4d$Fi4y>v~mi(~wOp4F{Q2u{DSM0-Au&#IP)(5j5FV6>3 zpk31d+|rQHm|iP|oV{?~>N*x#*{FhgLjw_T4B6kt|EmNCK00xP9K3jPQGbSpIbKm+ z`q&MieD(SeKWMI28TF%b&wGW(tJ}j@X9CF1ovzEk*D&}*+W)yK-ET4!LsHJVfQP%v zF@&g*LJ5?OTo-7C%k8%)09WLZ=FsBtJwn?WU^Q6CT*Xo))h2jl;WW)F$HT9^#lJ=F z&OYt5wwgB@T@I*|mBP>G@`RsoR%W^1XSkXfb1=|T7*{)v8z zN4QxL3FOXG3dpzklx~b@C3=Bq{zPB}=8DRR73So@e0+?2N`M&6xX9Z8F>VOboOBKJ z*y@qp3FhN+;v%SJ-O^6*pa_B>oXuU5f}$ha^Mvk;xp)Rpn59?P6|8Y zckKf%CDu0Yj@RcO8@2w?_xYe*3ql8bjlV-s*qf&|t!2hXMndG9mT4`=%v?^bf25by z2<9D4oP>c7z-#N5kweW7yvhV&eV-9PXZ(IbTBI)ZY?AeCB?Be%34^x;Vh$Uw*+Quw z+y$m8T?SE8txlX3MW%YNt5+}$($l1SK4<(5Q)kpX=a-?)@>lQ1>ECWZODLwjip|RB zf@w3eT%3Cz2Mhbue*$@VSUVS2{Q9hf&6u8A>(wQfR^dp@n&GyvcL0s(EZLXn(e0YDkI5nLWO=z z`|yDzV|}0Lf@Ma5$28$yw>X@r^13{k$E>wvN&lfJXz|qldd04C-1iL$wZcABRun#E zNrt7=V4qd0scU|vtyy@FqJplY4f`ORexQ%c!m`ER6$dkH6{t(XMq}FlZm!1yVtTaXmLF0>1KGCu*sL5 zNxHsK+Z1$mX{gm}#QR!3+^y(nQ58h>SDm0br zlB5$C##mz~vqCaIgmhZzX~DW)2MybW9{!2IC)o-FM!`Qe#mU59)b5A?M|MfZ(p{K< zyABdA%(W8+3_e6@LEVTYg|UDCa-}rSQSXSRt8hU3LjOl6l^r1zuP#v8?PGpaCYPYE zk|_7!?wWttRAW(ek|2(qsQHqE(v(Dk+2Wq+?6MIOOf}OjFIvv0F~$1xyhp};kZ00( z^N7Uf=0Gi*O*Zf+>0?k?r^R;u;NS~gT+om}!ccWIJgU)Lo4Kml5mS?{(iSn9p1V$2W2gNm!=0%0}`$0$ZqurWMh>`_lJeIuX z##%UKxflaB`gjI^AMNjd!Vn(|u5L}p0TzMP;qA9QTs#86R1@h&EQC%&35K!r^h$lWld__+ z;M&MY@C{Ty1(o|Q(h4#{t#t&1IbZnzWzzIR^;U2h*;SYTv)XD*uHox&vpvOqWC%tT zBH+F~&djZ34??&C2}Lj1eH*^292T;Y1uUPr4nX=#es4<~*h;3vgOIy(EFr2anOnw8 zhVk&v%_s)CxMYtamQ&Wjnn7<+@YcoEGUL97OzkxLui2Up5C{dab)VMXzK5S)mEGzl zi=mW)JijcGtX*o1nbtg8G-Ed}RVWlpIZc{}UT%vlTI)C+Vtl!tv%zRbuSp%PO+o`% z2TXggG3-8BqlU7rESI!g<6>ie`HGQ$WQ)UHb~MULYUpFS_wp`~p3|zE&{sJr*>u>P z8anuGgpQycULyBMB$`P%jua%S52+>`9CHp#p|=D{B3z?UdF+GO*cLubt5IH>sbqU} z(ht}3AR$P2$@)tUA>idrM45QR(Q?Be$@8~i|qIV_0I=VIx@1|)j$>1C$ zC(R9j#~?nZSB}wm-nlRVkQIm8RMR6bpEy3^)Uw_Z7~Llh^8c9Z##?6`uMmPcY%OKH`ZR3%bwKsr`qI%?bj$68V(= za9!21TkQ0)7*6;WvM(q1A%hQ}@P^M0?E z>GUEmH$2si=P@|wQXOnn5v0SO8PHXc-+MR`%N57K_xSnlewFK-Vu&+MEjuZY8NykH zP;*R5y5k!u_KuKXrmR#vvC3pFPdC4`utCr;cT7F*=kaher6GP@Gf~cPT4%8Ws>^*) z7L^l%z4v3A*Wqw&w@@Y(7d`{doq@NsA^d)(cvLD~YNJiRB=7Ko>cJLRH{Pq+|8layO~XJ(XiOv;E^E zglp(|s^(IzzU%tjYrU)QEe+`MD&g1P@i__0PVsGco2kDYB%%LWIhtSMP$e(J9D$tnA0Vez}ZnltD0O+^fN?p8_Ab?FI>;WApTj>ykXW-Q^=V(l~lJH|fsc zmTk%8SPR&+_WmtD?-}10?ZbqiYC68-@W41)z3#W46%`-`Pa~f+E-AgDn*a2Pw9Mn` zu&Vx>1b+rbVoAPszq!hdPL)@|De&6O?qpSiC7;%i!pu3q+ zM(FnWtJk2M023oWO3v5D*>~AltqorBt{q}Y8XRJ(2c~%`&g`Ke3PmegSku7fbG(3` z1s=>z^rJJ$-qWUlj4N&2M^Ifa=EF$inBfd8v`8T@W`{{6j=%p?lpYz#_pFL3!&U2n z4{ga+@ry`?jT4=x^I|K!Hlwm8y;kb7b;v8V4_?qd) z`Z~HYBz@MtrvU1k3}m)GKG{iWnJ-tO)_hTSJ~U;S?C(zNTfH%stO3+W4&FcHf3)3U zS>`6dtO>rj0IA~xhA0eBU6^Jq5^1|ge{2?&sR(>=&Nh|X&QvO9M+0uT-$qdA!Mhcd zf~9_`K6#)x!=;6jLaya;WLWi1VoLAyo*0^^@EvG%B4@m1nMeW~yX^bra6Xg8DT6Sx zEG~G_v_(3SxfW|$3sNlUvs>8;?(acqvN>dj{nxhaI_(UZ&x%x!%yVpSt_X&5I!$ws z`uju!F-{}cf>Dtnk*$apyDliWcLE;G- zsD0D;rs<^BNhrY$ZT+Vls&2psU!t}ikqC1XSW(a?xqUl~4I^RZns8e`1{HXmT(2K4 z_zTz6HYbsH73iLpS;)o>GJ}Y86VH39aUif&|0lip0+4Zp%eMCqRz5^`450OIXNNO^ z!ZUySh=GIriyz4S=@w@X=mU$F$Mz8{vKWKw~+obzU z@RJ9=iC0E)v$HMJv%*h>ck$7LKU8g@M!1i3R?&tA-)pB=N>^2lW&p~tcumgb1CJcX zqY)#?0atNGNub`Ezt_++tzB5R)p^avMA{1k0u&u0&KQ%%Ryq^&2!9Yynr6f1RLF3g zIO{W${NcaqxUNGiXllogC>cX|m=RQWLUEsbj=1qq*rK|KV(h<-0|wkscYc7{ z*UAqCfdAxTq5d=b-gF&_+>nA5a^>4EBZzr3hG7rhf8x8e2uz^x> zm099B9UyB0RCby-ZWsam`aLcCrE!b7cPXPS&PuvWMNublC%2wVK)i1Xw=U~UC(y3^ zvaMuYoGk3mPD)wg%pPG~0W0O4Sh-KvEIKYX7JVdAQg6bdiMUG%m=p|_$lsr0hBhnn z2gWS#>KaeFuKKq&{cUyM@)2^I{`~0WEb4ud#s-*UUWvi{60xVb$Pt&Ne_Y zfu|YCE;Ha(&Vu(wxzK5_i@Jd9OKpmpJp%K|U^9FX;q0?lRkU7u4dLJhh)cW9j_7ii zKE;^$QOJp&hlX%jv|f@PSD8(!C4g;kmUCC1VGQdE8ARi)s)R^4Z* zd$jeAIlurk412^nCG$o`v?wtZIrl62EjmG^VoKk>G=&BtQ@F8|TK^{sc@&9SCW2u2^6< zT%fWQ1ULntDdziVaQy%}+}{16xBx6uAn-NQGizzKzcK1nfPqbA1?Zu59v%{K>~3i# zPOCm(k5^6ff0OZM;m%Qe`2bo7b^>Z12oT=jxcx}v(Qp7j0p(?f_&0H+=I((XQl*oZ zA<|f+G;p+dPIkv9Knm;kx>MJY_$?FHsXr0)v7B8x?^&#=U0$E;Z`?_5Yn;~OaiE-2 z;buz3`=_tjXNmbWY8K!^>|yjMT)|S@<)<5TngapJg!lk_SRjY;OFINilZkT{Xh}f|h-rOpeP+ zIDPvxYG4D}4j)&t&iW@;?fB-Qng>|p#pVYAv;Yx*S#0+VA1=(CR@%pyzC|m1JFK0p z2+9+JG4N$NGt45eMps|vA)H-`TP#x{Vj3!k5KY6cY>ExT+Nk zS|1aO(Aqj%1R$?>@d@{uyk;rZ*pFUlO@NDuVY1l6m( zeotwBd;0VHjDac%k4AO_f*Ja~nlJ|xak@CbDTI3x8|pfC#PXInz+*5Y_cq|1a2mUt<9kDrvG2-MpXfQJFkQ_JjO+ zqYm7xf<*w?XiAE%_Y}og98MiWyaBv~>^8JmoKF2Eq<+bIS?~3j>p_b*T=Y+@8l9^>+QKLBW}oVkD@jsnP)_ z1OKm?iuN!1L45bf{^W>YZQe8m3TfB|5W_nYW_k>HL8O382tWh!vNnpVn^uS*S!Oci;IahB2$0My%jXIn!<|ZERP9crlhrKcnJ>c@^ zM*#>Hsw}a*VF(5tdf` z0Y1giMHBXvrQu&~SXR~foT7_R)cUt>!%PPDw*WA16QYZrfVlh{FzcCrX&&vz%!oH4hy7z(%EK-5MdbH+FV_L}o7|6()@+~CfMRYCl_lPa-SBFKwv07 zcbg5hogT3DD#wif2JUrLVz^KVOW?csd#l9(+h8$n9jJ*TRj_TVfBODK0LkaPd)!s_ zsRrsb*)@Q;K?C{lqd7eyMW`jiZ`^@+3k*1G&B^Y9NXP{0hwvXEIDn=TvBjy&m?RRd z?r<#Oe5&_gu~9a0Pg{D8s(-k^(VgA`6>W)_Zd7J-@`ALsD3VcdTBE_(~BmjbrjKJBMNeArU#!le=?y~i0A5L3P;EUx~2GQslp`QZotG0n6o_2ULzC1!F_Injae8<@M zep(76+`#T>{2E7SgZ2Zw;GB3`wZKo?>Ni?k$zpbLJwp*o7%>3}BwQ1G&{c#V9C4aB z)XkbioC^?`3{%CJT|8HP45H@!gM)?l2|~8*Q8kH!SB71@op813E9_<3+jggb*C_Y3 zs1VB=5HnNqN!WKrqgqMMRTB+zPg}~@?Dt2^we9?xHj@mmD*ggcc`%GwHqYVogF^pk zzPv26bz$+DeU?<=lQT{LIFEZTDWO#2A^ri9972fYYmmQQf zRANJg*w{F=v!j{AB_2U`GzdauD3cac)Qa(AgPh<9&~C)U);<1paAI2CiUR5Oz>w|5 zNO0;B6$@`u+PL#gQGK`=>^r}5LdrkYvROE_FMY(82vppMkqr$?p2DYSkJdxcsAP1g z=Cg@xGOnS>&IWh{maK}AFewWv{(&%aKih4=?*Mb{=bPMxe+{y}1g;rC=(A|<_{mR- zlMJ^ZLqx3Fz-5^Rly&I<6whGi@|EHV^+!Bc}&wk~X^k*=7exaMSE74w( zuHY{*$2bK-y9(!C#T>&=0UjLt7IBAa3%xozCZ9J&{PPS!A{;>^su8By^3Wba7HaGIERq;bT;FN+-3&HdWkKcoCfDmt6t<3<_ z7?XV|*oG5(t?^56muZLKox1z~$BwO-m^gL?R)r zK%LDu8!B#h0<3nY^%_@#R7!ZDo^oFqHm@83;49zvcTvR~7vG3~Yr)VzYK1>v{4EHi zxPZY;h?DaQgcmCQXmXh{0-c|})>L>vr!1C0@w5Y0aL)oa#~IGQ)v^55fcC8p&p(gO z;zB$L{-JZu0Mi4(5F>8_00`JyJya7!y^Nyfr>Cr!<3CuFSI<+O=voDMg#$(cc0e#L zvb>N#3P@gR82Up9EwhCfK9_B#3J$y;-~Xz`1-0Z>fQwpZfu?KYlHxFFWG%p(R{bAM zf|Tv*E0zVJx^FRJ&S&6!xfpH_Doq3r)Ta6j=Zj5wn;QRF5Fu};oBnTy8pZIMTlPG9 zWTXlHPEfYajH;(GR|GGdep^tO2Xz2WCAbuh0egR2n8>gqpQE;LT|VOh*Y6yB_yWN( zAtnJtG~22s@6xAnY0Kn#OeBDII*K_aGnvq%&{UalHZdLOXVbE+3p%VZxiHHV70@lb+ zf?1R$Ch6b-9dO#SD}k%=d94$1K_F;6y4QxR0B*Zm^#%2icby$R3i0j7t^q=v>ISqF z$}me{y^#40e{$w|5*lzfri*C+7Yjk9E$drVljaizX}k^)Dz^GCGt3PWz!JKi>jPA)kc-0jZrM z#B-4N0tUqqz?OkPVu)=}3mqc&_@#^X9qtuw9A;5KhFE=WJOpXP1>`527L0X((9-=J zV2R!L1`>d3w9`YY-!0$_6pRug{z^D&BVf1ZtH&TsrcFaK%n9%KWx_>%5C7e@T*x2; z5YF(1_;(+HtR|QuWyQ4lzm42Z099$vb44Ho2fw-~YzW)ZNCmX1H%ph$V7Ld(EfGe{ zqvhs>zyfqxyke}U(mpWXbEhRk(upI#-z)K!=Tq4zwfFf;_W3J0aXU_v=W>=bWKPSdPRKAeL(Ak4C8gcL3U3a2;R1@iB z6zxub)aoXE;K;}MSd3)Dx;H5uD6E1mxexLNFyR$`P5`MG!0ayuMf(2QHB?^ezw0qt zaHzF-`@i>E6?|=&ZOxX{`26VK%iN5;R>u2KOSGA}`#a2dwxrGHU3+T9?xC_W?y~;) zvdQ7l{k4DQ1ygtm^R=FhE5_^jN346ewY9I=gY!#kO&2To3>dHNV@?Wy#FD>+@=7XD zFzc@V6NNkCf_$iT%@q-cgL+k&fatzLs*;$V;wmdwC3{0(owdJPO8yc}u7ts#IUJ>I zXOBBVVqZ=;dGPcJ=2YJT*rNB-kv5O#J2XIgni`KrWrynn!iu3zQ z!_=_X8kTO&wV$VIm8^#j&H4SW!}{E#y7x~hQoZ--tF)){*)qm9a|9%M$9J{i-GDLR z-GB!gI(lS+o^$TG%f20K`Tlrk9tV`pHNXM_AM_BT3#{;v?$Fe2QOo7TB;fP1^=>Sd z{NaLMWgynHkgtA7!R49TN$*q-iPy(k&$a}?kEBa zww_#nIsFbc*@hXC)|gVyy|V30Uz;F1`|1rB-DDs-O@n=qrZ8#k!#0w3u}{Q>6=XLy z=DnTA3rPP7t5BkOxhO9O{&~8qLW*) zntS7;Z@G&z3>dkpvlENG1(-#N*SCvvIfqTB`u*33#mj1+pZg%+WAY}P?sRVs5DE$A zen8&mKCyOu;MnEpH{u8s%-ITMa?U9Zu>jeh;bhNLl933qu1+t7R2{PilB;3{TqWkm zePpm)&*{7PWy0&TthaXWwow;pY_ySNighQQs~gh?JX7%f1(Fg>#@6yOgw3f%rB~P= zP5sVcU$iM8nbcXWPBDA%r9}@p{lfCaB5K2!+xKcC5-$ETJlz6Y4WbFqUA*jIQAl4> zN}Bx9i!MaRv2CbDw+80+B@w_aFW0syu;5?JAaR|b&0^1g)4lactVC{G;cv;!^s>F zZu=y~ymVQqE|#Ryw4vu{hb@0}ZZTG{ylI3yu{6yyyMz^AEIXXHm_hEAXlb*+iPker z){wZT6jcF;Jq%hb&;$M?4L6Cw^kYkrR{fF>nxtI>q021Ky(eYOhxZi!K4h@Hv6qM( zu?(P=m=sGSHgVey8F$^s=P`rIz86jI_ohux>q(LRb&^%bnjAToWiR{Qp`8<o92yWd-QX@OPC&K0Hz?0+Cz*a!dBM{ICQZb!_Z5^k(}I518{=ZbL#@Pi)l z_B)eA_?3;9Zs)?B<33UQv}IS*BND!Ux+L~0wL%3re^w+zrOp8-=eO`58XP$J(Wp`35s~0fzgTY7g zvRo5s;3U#8N?iX#{~^smQR=ZY&dlAkzseg-|XTu9&nZydy~%S z${jh28@_fa%^eu++cwd9tVf!TAJm3xS$v=I|999KQpw?D|1f6#w|XVu#WUi!=WSf) zT`?J0_{Knbn(4isXCDeRAJEms54bb=S;tT3Bbft+veR#j-OlEX+4i*L=~UAgY`Gei z+8UkGam-Fhz0}-jUWKZwfEo%QFEc(9HC&*I_HC5gbJ~x7%?Kn&nopC;9k73;eSi^W&D8euSj zp(6ZP7G?k{@d|Cu`{g%uD#D-48nG1^BdVGs>m%)G9eM%|zHeUd4zCQn;0&DanjFh1 zNQ%cby&iBWP&1mlA>3}LT|nLS-JG6`{+RuZWk4WaL>iIfV*-Cw|)?me@eZ06dD<|Z#b}-L0xbU^IKrW3@N~nRpNChsRDX*5T zkJ>tk)8P&_V}>~WwabiOTrvh1d5)u}-UJ(12L28G7V$2qDP(j6S7{#wd?y~%Qfmp% zgH0$Xnx*vYbZ$XvQcuo=D@vFnY{r^bDh+9zeK5t;Yz z9$eZ7qMz~;R(NXrIo|uxNFL#t^YiJn1>IR;=pBa!_lOLjFmt6f_4yfq$QHYv^M2`Y zK|BVTmI*(q+}^ghx|76w2&2wGstY(k7|Yt>8VE@j3_e?O9}l$JU(71M9>b#!WM9ag z0bBoeXgznOB%|Pe;2|1 zn~<`Mz*7hc^r`ew`+sdlU~;W!_oV^iuc33D8W$knPsv!ofdqtk?io6`3j%_yv5y{1 zf*@S$`(llWTx!<1j%<I7kp$pFle)W2d4z1^^#5unQA(=?tjRr0*Ri7Iu$ivGanCP(Js$J5?qB#6P zP?ziKYV7=CY3$<7Kh=cSs1FU8>d(_2*qOA(3Jar)JYArXZ~@0p8saZZ)TIcCQ(ICV zR#JD|J^*{UwhcGH?IEVi!$9AF7bC`cVMhiXI;_QC?7!N-xxQ9=)xIZ0{N--{@xBTP zWJoMmu5c9+WX${zhqr3ARs^5k2PxzGFW~oK_*)eA<*F{4Xb@t5+gx65>PDBq1`sQ9 z27XN{n_?!dfApz)R<=DT!IK|w~Y>U!0$+#2l@A8Nz2W50TDo(fP(;x zg$t3M!z&*FTt4>MSpxRkFKKdjw+aC20U#aa{jj;_$hFJXpxL-fZTsz=Q-V!7DEqsP zo)=2Cfc4gb(GG z(oy*ThkN^Dsn@K!H%ndU&Z&v>>c*!5aKh4#eMzO&aHA%8o^XcCy-81e?sFyJ?IahQ za6NbEY#;w((`%gG>1jH;PV#af?E}-ftC(;yW!VZG+__f?0``$W!%BM;Lg;1)e+gp5 zDz27Kb;^BN+u>i{JH8LucRs&>|Kjj50^T?EZU<0SBu`xs)(yjkS+Rt)tH}Fi&kq4D z?9r3IMvHIi;wt7<7Eem~KKWp<%4g#X*q#rcr>1lI)-ul8{&k8Url-bCp4Y6p5><+v z9sONMVSU8aRVqBPl?q<6D@+dTKJv2a2$Ke6sGnB(1EvEQkBqD1Qz;}jT#m^bhGSR}jE(X_&{{=i-Z{poP^-tQ}i zo0Nm?EL<9P8-RfIb?~UGzAPDv{qmW_K1u@Y2ozX3xC@nKmLQ;=bfsF=kl+a^hhsi0 z*H@`oGRc~i8Y*>g^>5r$FASfhv(kh;qBRqH_QbKK`GxS$o|W?vVrXt}`0Kpu_N8(- z9VN8-yZ{9RZWV2(qoL|LmJbY!ffY1u;ZS5{8PwRJL1oLt2(IL;0m!Pj6_o~Lsy4V6 z_hY*#d#Wh=F1uT-Kc~{4m>tokdI=J5ut2;jhZnSfbwJ6oPT(5Ssl|e&R)Ji)E0Kya z4|j_*M=hE|lg})C7-Udvk`NGIfJl*RPYkF1hsQ_-tY+>+WXV`*Y;&chLv}mbCoDy+ z2BNqL#ol!Mo7(~MBu4G8{`{fpc3ax6QqJus0!(2Je@nsg_Z%uTms6GipAUkT%Z0}l zk(i-5eJVKgfHBiA$rE94;QF9EyZ$i+>RDCn(^;}FKxeiNTCbhu5HavcXZg`5oNQq9 zkAK1E30^3BtGz-G{|GhJMPE}=iXc8iTvaYv`cmjAfNB`hv=e6)8f@*3pREthL@`Jj zm0!HnUd)SOW}W)G)5tG2O$2v_m}b2K=TSFc5p&{+w8eBg4V^PH0+LXZ9=uazQ+~Xn ztb^c(vxF3{yyX2Y{2}Z6){nIQ@{Wn{9XwDRysw?F6bYVmhhrhhD)_XdiXuZz{<3f^ zwJY8x8YD)8N|r?UwzRC^+c|eXOJae)$BNdJDi8xN?RRU%Kc)%S&u%yd{N_UfsZO1|zF> zxfQseepMhKt-L`>r6UN4#sqzKq@o}^En0#N}q%09KwCFk2G@U5YJz|J4fS_JQfHGA-4 z(tKxlgkb$q!iF3uq9*DlY<_?Pn7o0N&k9ubk19KCtbH{ap0*8i;l;rn*suPb*@I%B zB=qAfkE!V{+SBp8&WE#!f#7HoJyj0Kz)9AiGcHn}f8BuGp%|W2jtsc8MxYh{W1%M;JY@z?YSDP%;Jvo1L5ovE1H^gaq`|TjD zEo(I$BY7Hd{b-^~jG7H(ym`0CO$|Z(pgCDP{Eh_j(ynpV_5*%xnwE1*A_EI&)K1C( z;zODqsaE!;!?5rxFE=1dRqzw-H8zUXJM5@EaW#53;a~TZA=gS!^zG^tnWb{40+v_u zPMS>yvm#5bEV~p9HTRcU7wKexBkjDy^}q)Rb1(<4`CWImdN6lg^LYprwh=@#IpX$7 zT^M{*Wo#iso`FI0wzI((Lm+1tReQ(=^5ZA58rw!^iK9t-l_sdxz&75oSw=Z;Ssv<+EiFzzQEU(=}q=pU`jpLXeExld7mnFCg%#!ER7BV6q+Z8eamL48>{GpSa&dCv=CxG(j+#gDx!Ly0 zBRt!FQf2dO;me11JBW@bZNc_=fSMUTNPY+e!>K)#zmae&xNvL(6=ZnF_9st+0Y{W3 zh&`3sc=_M-RI;BbVQ?n!A}?`5YUwq(be zWmlIc|1H{_yp#y!l9@3i?)yi5=3XAYN9HP8`pwx7LvqlRyBB2)UT9k8i%A3uB~rR# z+4A7`%#%LJqIJ$TEvg)JYKuMnL@Y8%lJ?t?d+??>&^b1D1b5r#QEJe86zG>+y*bB5 zbi-Tp=VvF|ccH}7i;E$%Ca=yd;U=0TS65zsZ?QD#Rl2W&Q%lE@!28~)SmMn~=Rm=5 z~9ce)!xOpMUbP*XSO)pBQ#IktQ7~{$VDrmMfDIKg2 zj^;T&8vSv;^rKUt=Y-YBR>RquAxz!7T3-C(j3TYCcF} z^k>7qFWotLYIw`njg%nZ{7wzE6JN|Sc`xwV*37J^_GSN4mN%X6R00eA(VvIEhywE( zS2#u*4vM${JW0RKn3IO60#F*J)ndcY?K^P)tJPk^4q1ewmK&?ZBr?SNt-E>d`g&!M zEvBJ}(Lp2dv&)N6hYp=ET zPYIlt3}IQO_(-E8DVElrdf$_%4o27BxC7J!atAZxz24u4(a*#ba#oX8mkJ>$`NP=o zR>MQb0~WqD`kk|y)Q)SH-#sJykhPo}OrD#C@|(HAGBK%n(>3*KusZExW>!|Gh)kG6 zL^n`c{E{37s%+4{W5)T!KeW~;!vvd%9b%gF$R3=qO!0Kw6*bP$EiGe&uGz zH8*RbJlAPfadENaWgs>`vI%V;w;`yxC&h1>zq>_nd;asDctH~Nw^Zn>+!3ENj&IC6 z#Y8q*^|OJ@CQt|5%%YSjrAv z#}Mei0aLII?C-JZ5%mgiq)C;iPP<(11?qmSr(X$bSuz1n262VDOq6#T?1#tWsZ1Z& z5l&o~!=6>)-Px&!OwNiWCeixXl(lnVpS7-3;}J>n+^Ype@6T>JCvvDBcuXl?HhB_U zotUzHvQI)@RhU;wOijYh$}bXnh1q0HD=q?*XC1wpvf5RSG_w5?@M_2-x|sDuh)bd+b#1yB_LU|5&@msv2}mg)2u_Z-?ZShq=??nB&zYSVN|J5gf4&s9q{yTweR-!tb zNMK)(CiQ&v=;-Kg^s2nMtnB4A`hL=U6v9xjkoDE zg1_#O@*x?aB4cIpjmupq5{)}OVBshZI1>|S-rDz3m~ysYrIg!0-)T?1${hXk+oZC) zj_>ewFwaIJ;aUR69g7iA68#lNC;(i>U@^$lV~<4~*mDrhp^F%6x&&}MeYgz4g@#VS zHR+zdA?{81Tgt#EsQFFLO?lJK$zyL{l$xT&VsCFmBR#U@TVXzLhybs>0k*@vJe0R$yykQ<~9!BYiD1J6%7< zl$5RXvP>n)x>qkYaP$pF(JE|I;wTXlHH< zZ;G>$Ub6Vd3y>&rCpn+aN52)FjZ63tg$6p-oK*y9ek+^Yz)E}-rCwCRcn%u*Y_J{m zDV++Ny-Nkdr{E1-#=K`uG}>z~PbKnr5AQFSTt3^i6^_69(N$(&_N6i-f5`pBTPF&o z0Lj>Mr5_7cv%%MGkd^AG+`fkw#^PS#GcWE>iEqml=O>}^!|;>6hs~*aKEWKBDkCQ~ z>gtk1tsRfHuzN2-_!Ony!|ogV0A6iL7D(FjKJ){6zF!~SHz6kl|4k8~bpGJJ^X5P?6`DJo|@8peW`&qhFT4 zmIWfPrT_lvv;KYb*YoA?otT+9TbrmUfrt-2d}O>iyU*g)U%h{9Ndp&YRfdcGRZg1q zF(~*wIK*(<>g;;#)Y+`MCB;nPUnTI9>Zz4 zt+in^4^*4K+X9l5#smh8S8-{P3A7M11|&{g5=#2d;XN>-Cvrz{`OwF874oRC^hu_m z`v7FlEUvTtc~t)cxJ;i@&!hq#FMDNJ{HVJryo4N{|S-W_He^bFTJ>4Y3-@FOB>4udAQgJu7y~GP1M^#pBEF zP|Mr)kCqGC(!As^4()$5xh1qaiwoe)lcy!eyPb-{shfo zi+0{FAD3-$F?F6<;ZusM5W}l!H^hso*cOsPuH&q&^EbuNe&*HHctQZl9&8lcEz&y z3%dmjy0NCSTiGx7>8K|Nzm}(yP3HZEFQAzMCV6x-gKdcCt3mzo|4V)!xriR$mZ&I# zAJl0j=Ol$H?+n=S5Z#}DzDnq8FCy&aar}Y#wr65hiU|NMf@kUg++ciFLYPlvphnPY z^EB%dz7GCi9ydT5^X1Miarz`(iUBVm-)Fwl^Z0h)VaxkXr9Lz)xRg-H^=ppSg$+)* z2?3O_q4C^_M_js3mP&lGHU!BU=;nr`9`Y+{xk?Zo(;CI{lwd)afs~}MjhNWO>TU`c zr$@9!_;IZq0*=Wmh#y#ahq8n80opEBB3k|`4@tT&hsJt(pgevtH!mypK0}?!YhJ`s zZgEcOgvV&;`OIs)seofkxYz~*oJ;ckCiV>D!)<@Zv-bkOX?gu)`G?zRb*-7L#@<*Lk7w0Nx=!luGX4I#Qfa`Kz z^kap_jjDD80u%bx8_X}@iX+N=mA7~Eg8n*X$hdh^`qaS_jo(;+GO{dOQrI}YUCR;) z5>STtE#%z3@%=d&`|1G22Rdd|I`&P&qv!-Q?dyct(cIPI%>0Dt^dryMv42 z2EvBo0b`ASqiW_-yJi#~bCb%vB%tzCNCyTy-;83nY8`y<9_tR_9IXA5`N!-==Ouol zUKh&*pF|D@sLCVx&x*#R{0x3Q0i`e=$k>vPX1@u70(1gQ7_TU+QK?fQmD<+_U9lW` z_q)|1WH0szcDFbh1i~LS?xD_$SDB>3br;D;lC50gF7aWg$ zi(tI@&nO^M^`ydb0PGGh^lNw%FdOFcr^SUue_$d-N+>USPcC*l{NULxb3%RrQnLr zYl=KLg~aH?a}SoAD?a@yY;gVv=>+=$ckQdhONv)Jk{p0@*}AWK(-RPFI}J})S;jx$ zgapybeg!Bnu+bIF5xp*zu(8AIr4O*o3iW&6QU+C#I8^Rt&w|rGfYG#SK+94+kpLL= z&1G(`hFjG_coD$p!KN`*uChi69^&t~v&2|L)$YBSrk8;_ z+YJoK*c*u>X0lb!z)huv?ABHK4V8*kw24%XoD`EFA9OySN_4by@1b9(tk7Tkq~rgM zKFhXH@|_oyPVDc?#RY(3aK`#ZRUeQS8fSn34jVQ*2t*Kli21+MVdRJ0I*OBPm9x0z zO$T@4T`M;0E$Bt((RV$!1?4m~r?S_iOZiH|ppN%>a;P91y9KMMz^$3nE=k;UGMd7@ z0M*|8;t=gd`;aBpFXA2|o`-)%KkeNTmeUe6i{&dVnc#v;24*x8UAy|@uQsgp7HmUA zaFQ3TeQxtUmlDCGznbS$OK4i??`d2w=`L|jaUzeT_hPS%6PvQ?qxiO$PE}MtYNMX1 z4;{1diUBPhzd<84gjoMmzwhz@<+lVwg|?^UjJ(VYAgh(`)v~CFx>>=*(%AG#aa9sJE)Qv;N^>^t}Gw$WPt% zIKVe}GUXETRGvgSu_T(FZ(M@*`+#2D$9?LsNtUPd|JYx1H_();T-taWIT1KyWYLew zXWG7Z`q=c=07I9_xk!3W<^tCjKTkuq@J@q=4aAWjbj-%Vdv`Xg3DW%MuD*01m0cx} zN;9UXCJ~UQQ$)v4x*Ctq*C<5LGg2|z<#l6_p;!_)8$Y*T)#wu zHfNG46A;Um9~Q_X@Aj{elp52U!FYfeu6T_v>dKq(+<#cwazgH+n0)pOjNCf>)>?Gh zca}+dvXkdj2N4qY_4++Qvv}_XUF@AXBg}LmbxinVJT#Re_5R#5>s*uZqm zSh1{l;6y-IySKsu4K*^j`go{G73g!Z|5$7e`CxBx)80x~kdN<=`u%m0ZFbf&`4%naZu zw(s|1MD15q@hlF6l7wv(cElGULMCe#_Kd@R`p@h+#hh}KI73SPH4LSFNhpA3dva)l z9e|@RyJ&9rT#aa&OWTUmwOhrZ2P-%-E6;-SCDPR+c{PM_#FQgnf@Hr%tWpN^Ecl0x zdgFttWWovxdw^%uErQcI1&E(OGlBclz$AAPC(b z{4*>Mt27vB4hVgIM0&N!e;S~Rb@{P{E(vnvISQqLYh5Dy?Qftv=}Mb_!xVbY0LuE1 zQM$iE5a)kQhYbODz9J;5@&Q6JbK(;%6yKB1q!)Y3!}p3a_?4}QtE%E>y%VP6_Gh2_ z&@h5`(VaE+w`$+8FoO0E!V4(x2=PG!hbZkMe4gB%Uq3zfL|LL<_U zjCe|~))S`~t(;moxL>q*bgJ*$-G`JXc;XUCPO?AQabWciJIHH>q2&xsjG^fyAU=VD zzmG?u*swh?+7w?cj%5m}EUlI+GoF%|PyndxGR5T@ZgGntfP1m>lmA_beX?UBON!aK zZr6b)#~^ZdrGA}sxn21ZKYV@;1w<)aoK#plI@WwrWm_ZbF$6E%e(R|uT#Y=wIf84~ z0QxiifxPfM%%^$oy6*-vkjr)(m+J2Y`NgFht)GAnwf5Q)7R*JAEQ3N9BwZnaWY{2m z@=Hp7hYnD%UI(0rjq3SmowH3BMvc_HE7ng326H4plcMzqm%s)u%7-0Z=u;^qr?=-M z(y4jr?!IU=DBuOXl2h~DT@BQ~Vn8G;{9V9BhqFjCQH}+Eq+EFC6kLfI@Be{?HIh>|Dd9x6PD~H2HmT#tD`Gbf)WzzGe0Hn<9X>N3@4hH?I(x1wU`l-5()f{24uHAb3%JB(EWKJy2s~;E67Qh1n zg{vE9A_FEF!%-&0c^K5pNSs(s_q8>EkS%+n7O@-Ww^l=B#M`GOsW+P*AU?cTw@>$k z<|T9Xj7-r-%`1Zf61U9C1<4yj@c}OZs?j2!42g+iNPn4=tUL;g+uPTyt6zAgP=^d8 zrJ9Kug0byl=6Mh%RU#+Wn(JT~w{>>7Bg3gh!DBLq^X2($UoH!-C7--Z18#I0<^fJJ zu3?;ySPHc%7;O@Qx8s~)RGcQzHipl&rOcSV3D8kB8$Ev!N`>tYb<6CXxZun6Ol&@# zrC9IN-7x;UnLgJOn++xNP+A>3NB3meMC_`RAKJ)7Iq_?Ns ziZHXhebc^-uB%n|git&(QNtH;j;droxJYAGn368(5w?}r`XX@>7rXIUuqi_9fs0e< zXsvb!&_Fy1lQsLZGdx{0?dSId^y`D7hHKE-EAfGjn&Hc-rKoBb*@R%hGef3hTj5#` z85y>fHH)@E1}%FIdf(c_xX6nYmFhuhJOqdF_bsz*t5R(@8d^wRjG876a#Vcylqlzx zV{-rN9$Q6?T6}#syGJV7Pev-djoGGx${j-Bqo2U^!!BX0yO~6>*~H?}ak$UMjfJdLSoeG^T0yG0$khaEzmEQ3i%IHedg$ z_GU}Gx$(ifo)OI|3j>n0{ed8*z66cIMPU`Cq&X4N>_P&uvXUKGdw0+xiEFn$7IY@! z@&CJ16n55LRc`w0JK^_2deD~4Y}a`Scz49=64#s}z6+5&OWe-izz2k`@^;F>H-VfON-iBj|IVOJd+}osrr+|K<^EY-g{K2vlNmxta0b%0#}{W zdIqOgy^|s)iHVH)RJXfgnLC4gJUTrXm!`ujGE}!0saG^9+q^7^< zJ!i?4dE=q0WsN&5KDEQ#mpv{wCeUW9dL3W`q0@hY4GQPg&kNUz{E!UY?OwUc%0>ULY``L_@cSG1=0uuCcP(vM@Vkee_JD&w6O%%Xxr=O#$-nX#pRG@nM|CBH`}&F8 zL|nfpEd3RGW*SC>)v8(C+0b>(^Lspq3PFN{Vq->@vs!)zIxx9udWQke+anUvMB(Av z?E|!WinDhL`SAA8i7F~A-~3RF+JtDt)Zf*lLZy=k{!=ca=hk(8PK!NuHCYg%taOx$ z&q{0U_lvPB;_(u@niMI+j!OiuM(etUeY8ece)r z2r3f_ZMB`WeYz7n)3nO>3B{6j8^J#A&1;Q!CctH_ynjph^Z^oM~Z(OqL>Bz4cIbwe|0ddZ5es zy}ABjhXb}Iad-oSqk560XmHU}iyS%du(^MLVz~O3c=6X+K+qPk#qkGhd>2-#tKl=9 zOly^A)^xME*sHGvu{D#Slof;HZv+zwIvNBOAX}0mNFA>?0e9F0v1@-Enw8lw0 zrTz=r_?yB-yt>#~XHb5C zq!=S&TMQMmwFl2YHk?Z&bQeD>vl&Tq&z7qncYWoqeG{Q`6G&*E%&O#6UAySPSk=$2 z1YJ--KG+!u{Wky58t(wO4;&=~?oqMz9e&wib#tz6r>Rqc=P*{bL$@F#Yw3m*W|P1k zs#NxKd)g~f$W^TKvkr)z^yG*(zWK-`p%FR1SP&J4T zqpQn$w?q#8uVeU3MNZ)_U{if1=XJz60fkw;%+L3Gj zeQwX=mr~1zuKdzpsK4Dz@XG9`WEL4^(wUtY3a0IX_!Rx!PCc<`RGFKQg;ypfwNshx z^+{IiSr>+y9y7nXuVOIdI_<%ObqH3b7$vL91sWj;R*bmWoHM3FH;qr4hXr=mKrBjetHLNG^ z^OT)YE{0WB#@iss?zvEk%M!J2<+t?}ZAH$>pp}erA9v>RI{9RXsXfzFo{_fTaZfcH zy3d=+eMU!OBo36%CXMJ$wivs$osUWMxIRmK^gyR_j9y$l&fzdyAYuvWa60^;J-5{- zjs*6$c0QzeX~}U2?^44*Mjxg&Hi)aW>7m+7fD`9C>sa>l1K&%A*_nyc?|5t6*Dse9 zcD+I_l64`dzq=F3tE zC+nCL|EtCFE0yvO;fAmhtr{~1`BJcF&hx5`g3yc;HV?}26*R4rs7jL;JV!LmdI7a> z|6~i^Vg<;qR|pbg-Cg}nk*D7f043GB#I69NWX8sGp^OI^cy1;%KGhFZ%{`=J4B6#a z$}8$yN?m9E(QLiGXiliDMwAQn6k8LZK{``--pNHe7?I|YN!Q1D^V2En9F>@!8_-6^{FXq zf8>(7uk+y359^j!23O5v1+qtHCGADz`uSysZn82%=k;W@LomneS*64gEL@Tl2@x`z zd-l1ij2ne)8`wJ<&e$?-^R%hRPC*(hm$Lv_WmW0gN^)X1D$-yNPKs8;!j|e9 zygG9mkn~OvKHG*>>K8JfM$2CVQ76iL0veM;$Q~@JO#3Svi-XN1A2zZKc73pL4^MNVlK#meU>`LB%l_aDGCRnM zTz8&!8GNMGFbM`_Ro(I$i)&Te}B=C@gB=Mv8M0NDfj0%XQN1_7hb|I6p*>RNJpHLZm zss^NoYO|7JnAl>+`sEqZ==DT)D(vt^U2rc9)fx+`aeCP!6F4gdb*;Y(>~!jL2IZA% z-M@D7^Q3(VV3TNt?lhXcHwY{(-((7ES6Oap`B z>eVm(`h;G*NhE6(MR{d02{}iSxVr_4`n7Xy$b=S-(%KG=0UIKKf06OGq2=hi@!o+f z<(sc`5Va*zy~r#dB?sAz0uqM{OdC;HyrKtpk4o`H8hv#j3TP3`uW*AH~2FVcIx91Ru}019@MF==p~$M%4En(P>?f1xL< zd?W8)Jw>S1F^^W-+K#MH-70mTv^!J3-)vY0&k_!PqA~A&_N?`j&U&S;(yW8N-XSKJ zg~4dBl`Vf2_bGu|OPR273}4oN;?!S`%U_#dnG^(m!hQrN2wrO&p;h{(RE0{(=mzTdmx1j z`|VMWeZs^5QAnaai2Aj<6av_9RQ{?~ulF74kA@fM*>tf_%P47*}o$3VdC})6$?}6;rmY>*f z!Ysbd82c{h@2gb^^y)jGjLc$3S}hhyhk2{Mqus(|RmFH46~miCC?y!`*t8LP*^a^^ zsdIUvZYM(;=)QL`h<@p9Oh z>_HOhTVAWluRQ6(*HC^4n~+sgkPYkkg>Zvheu;2(KFq#W1Rd4#is%;=(F$~eYv2o)D;%f zfzRub3>O9+5!WNO`Y=JQ@kM)0Yg3-xF=qA@tRn}1!(`=PAOA4*66#%*yxu)YbPEa! z(!lB4|C}qM@#^C+_4QCev)WpV!q0lX(s3;Al2zs~HbU!Rf8Q{XCtPJ2YznvShUNDC zkA&mOvmr%pP%GxC6X1GwuXWTLjjJHM7O}f#-`5J8E&x?XD#Hl4^<{-h z_s>&`6#BrtiKEahc^yr*Xa>q|Ay_%83us*dF2RNv>Yu*PhXMSNjd^ zm^K~Z{YWNuDb=&fsTnSqynUFSI37z1QYOT;tV~xC>&t%c&#%O*t&p#$I0Z`;x%bZ~ ztk}Agh{?7Hr%r{LRVsGMk=?1KhIDA2NwD6aY$Ze#Zb47doYF9lj0CZAk>gR55Q2%V#EG*Hyht zl}vY(|DGi4Diq`sKMhvmR4I#{My(fdY%hJ9RLcz#Yjs=M8w>MHe+t5@OIH+v`p)6_>BX3t2=t?1L0ttD~-XNaeFi^qfhekL~C-~GdlVLKV&C0Tv zXPfz_H!q2KOE01vkWsjQo2-U+DNX>-2ksJIxJ_*F`)Y4Cl-R63kLD;VcMtle#tIJ* z5D}fTCx9NPW=_OA4w$b(3{~r@3;77}1Qo0~CVf}!-^jGlCebQ6;spUizAEfs54K*A zm|Ehd?C%a%QeH|uR<(*Wi741@h9uf84j zNB$9eLw`1p4}INltQIg?GsYRPyD2D@qyAlg#-DG;cCSM%?GKoPI9L7yG;{VqGcs2C zlfs6h{XoCW?Z+@Skxa}}KFtKzhg85a2Yoba1_#92RR@mp?FL@` z9m)n^6(p?s!o2##HgvA)KN|0*ywCLhB`GJmQB-;e5r!FNJ~LXku1)%nFweo(%{C7@ z*Svp#%z1gA%mW-Dmu%1Y4jNS-{F)aadDu@(oQ+C0_&6%&j<%FQfVH|Xe(bxIXRT-B z>2xK1qYIyOZx##wV0zM@}O|BRU>1CkY^;4;H;FMtFCD2Ng>vZBmCa zb?ogH3Cg3<9gG-WZF2QT$L`7NxS}2nBeA;nD+1$v6|u_h>uVC;@7bgs4&{F0S&OKa zZ1(P4Phi){c!;>%WT@iAxE-kD{Z!Vj(RADa^s6vIPn!OGK%b!vmJLiwPB7p;$=DxL z(z>wM^BY*f1=!k@3^A|)3{%b^b_#ZZ?Tkn1*tCH*5D*#W*k+Tn%Z zBQQJ2BIRB@INK!QPbo&ou6p6OM}_|+95)8uM=2J3Nua|rQ(EHhH_vCDQMRD8(optn zUY_vP@t~A-g%C zbHTMLl4VD$B8E3j!)fU+`100`M3&w?1)L>j{AECI3ZkuOQkKscgMno;1V)K z5gT6wR25ht?Y>h;C#On30rK>CQ%&rjR0EOl56E@qVPM~nZtu&&j<=kS{p|v<`S6_Y z*4~d=6D=K456#D!F0~)K=ByE_UG?~acC2Xrw9X(2wr5c*$GOm53SR%Au)*C(eIA@9 zcTM=SSaQ|730TLgk4d3ai5%h3e5e*Pu0W10r(+G*a5JsrW##0L8cu~>bOa-0?2j6o zr;zMMokviN{dDB%mSO~r!kv=nbbgd$s$! z-NQ!B5@PbO){xEYUnM&V@%12fV$aL6!4F~Ro z9J=-G)Hkc<(`PL0f=L&Y`;vNB5@Q$84*T~XN2mwta-dfh2xUi5q7qRQ%1~a;+a@SN zYcvbPP2OL=`)6o(@ROLfu;W|oz0X&#ij#{Zf*>IMX>Ax7CI0+R$kiv#5^zEflH*nE z-D0izj)##ldsk^vB)wiCzQ0SMP!@gwB&3=-YvAXp9F2+=t@ccWAO~grPm<}%zb#-` z*5lJbzSAfPr-IJK?a_HMuTNLFA!-^gHroA&W?yS43GYa4L8O5XEHYvDBnsCTcr0CL zWhNykIr0{r!N%yKnDAO6PAg-_Z$Nn3TCUzQQC4lQ$_MXHQ2$4Rs^6aGlYO)#F+V=3 za7>)3n+F$XHZS7vHN}ih6i=z-=fPaS-I?n%{#U9*P08*$msFCLK5>Ko?#}&z$axxI z5tD-(_{0XTf&?;&rkW`CAI=C>Wf>Y7PkpUgG@i#GH>X;V3i!a^GyeUtQ#SyiiDVRU zXg{Q?fOJa0N%!(l{AYDlk#AgY+K0nMtB``0-S}kRiprN{EItn|B}hNV=der}JUyvW z^}gICRU13zrV$_*QX1$<+RLP;lR`8jsc!)#)=vLgT;9d=I#=~j4Al)F8JJXOo3{H0 zEJYOaXa?@!?gB5M<>QX^5*OX`^Sme~)}F=J$*hdGAGPtmjMB6dujqsqb?0&@4C94H zw5vqyUe%7G&Eva__c*gNS@+fSuVV<(Mk*C136r3KFU98!6cHIzG(o>>3B;`AOu@qO zn*2@OD1R>7>O6e1@W`~MoLDpi$D(0zf_4S|1z4e8w(Mg@;%fFo5OI+vBEk1qmE1-G zfFQ#0Dfv>AXU_Ml6u9@N;kdA?U2gb%6a^J#FUuvo$ceuLfDV94QAqqOF6_~@7%axk+k5W(1Df$MYnAWYJsj;3mpglFQ)}MtR zJ}l_mynluRj1?XHPC;V)j?+^j?=|qkjMeGyXej{a*|O}TA%}@q{#^A1HN&5+H|#z! zJ?#TdFusI#IbZvyx=j9DC?#}kLwLSt^6q9f;h#;gj*okH;c(~5KqdHUSRekj?ean2 z^a#QmLGEnYm}1UuO+gEj|w!c!c90KP&06h#o4B z5_i$87hm@XUY^Qwcyeh`s0~*CP{)9Dy9z`G{J7k{49w$ENy1%5Aync6Iq`p@DcHHN z?0S--8ZP5SjS}2+EgGAp$1}N_LYcJM2srfE zuL@E`TrtY7gXdFB$vU%HaVj zrGoOz5hXo<0Rm#{^FcTuRkatYi?_%>ieZ8+77^XPc*DIswGZI~_FE5)>yl8`Q4`i%d zEj{m0S@72)zX6KN(`u|(`B(JLBU^bcV=Ap{b+iQZ&f}wpc+RUD6~)=(-7DN$I?}pG z(f%Jbe4hjWdTTXml=G;Fy04=!;pwUGZ(u=(q4__6?C+q`9xA5RCq@l}=Y$X;1;v>~ z^k|ol-#7GVaw0N0pBi&40^eU4K%{Kq1J-4p1vt1at^jKY{j*e(o*j?8l6f^%gQ!277Mzg*2@^@t9v{0kM4Vhfr1#+nDhQjLSiaoO& zj83mon&~UEWaqxb&QPI-hPFzELNhs=f_GS~f5paQg0SA#qtI?5OuXfQ6lVF%c8SGb zEgLYao~ygcaLUw%6?oUS+6tWnotd|x-TgRqE1JR(KLupcv7G!bm>(mL^3wCitXP++ z8SvZo7~el7_o52BC}dOP^V&n;Y5dE?3&zPEX3af5&Wi-A7DtIeVL@9DEN%nsyP z$*Db`c)b#7W+YWj1OxO933#g?=1SR!FekKf-AGJ6-n^}&fSXl>_(qIT`29D_qG}G# ze9S$>3aagEVgrPG9hKHJm8u5ak0t_2>}x2ujs8HL_sHSiOYs735c8iMI*2rb&+Kg$ zBs9s-;TH2W+U?pF2R|tKwT55@wAdpbSu-aiwjTGceoZc?glemdeBSIWy#lCK5&9G~ zoxEZ8s41b%p7VDFzyfl%df=Cs?v_=l91}`#=-g2htEQ!qtPc{KoGmO9iKnpSgflrv zDqW^X5iH8X3*mT>n#LDP=iQL?0$-M9=|^>|Iw98iXzYH2k!kX z?M!xMi(`ExPiM^3xJKKZm9`DRsdHP{Zs#%=lB?p~yqn1Sfl>o|n{2O)9Ad*@Af6zF zJde?}5B?3RC%fpCzPtZNQ9JO-)JoEms((&}iIZc$!Rr=b{QlJg-&z27R@Xse7PMnV zCvf}gv|><&yC5hST-1Di;ghFneupAjRjAlK6S%X%m6XHDnc zwYp;FHJB>)ClyhZ%@j?3>2rd@L1*4{r&N@U6vC2jZZw-Iq%%H5ffk&kfrT-AwBD(> zRy_$hP$!AlWa*M z``TmK(VJf>@%@^qu#|l?y7)kYG5f5lbosAUX=LlyI@-Tb@$x6v*tMd@z;kw-)|zQV zT-bRY!6&^{MCadmdH@B2R4NJnG71nkZ4MmU!N4YSH^(_i7=?h|8Y(*eU2wBHH>#^t z9Mg5I_Ox}U@E>n$-;D16cHj(nRM3|mXba-0#4K1zgbk`8Qm8J27|bNpz^GAb%emth zY|t!yDO)Z3=es?7a7g=A;a`i(6!4k7jq=?!L1X2`hY#U1rbNSo`iP*b{;iFY4|-(@ zO%NMR2<@g-&=t~3=7|5_D86~k)g(hp*v}m?VQpFUah0Z?f^)H~Q;T}cb6=l*1>a94 z%%EXD1VsV?G6-96C+BJK_j2biAW)KF{iejuF4%9)RBu_q9~UtBWb*o_9ntPkjQ`~ z5hsKrjjZX7Kc)UHDL&GP^two2nw6lZ;)j<7(O#!Mb%K{@ve_toz^Kg@>oA9SJi8@# ziZxwxf-f08pRpz@HT}C{jI)S=!RMLPF9{ur<-_vW^pO6Zyg6;e%?X&HDPsK4_u#|} z%SwwqCCn`8KLs^1gw>P1fyqo#OVrv95=aiPRGGNA`x;3^``GRb)8c`YW#{dPTtWg{ z(wAc0>Z6O4Z`k=vYiS(+sk^m|jdP{Lrs6`xRH=QE>jqg!*r z`dV9hUVq$uUNcyY$MEN-ypL2mNE)df)oMF`=vI3%-A0wEI8Am&@SL_743MO+VhT3s&hr8=EmUFi|0dCFH*`GPE&3L{ML1 zJ8#DKBr9)tq>NF(*i<)pei0}(_7HPr>HWpiVHFk$|62n4J~RBaJjL3QFH7}S+3KEe z;;ft}>QPTLqKWrQ1V*xcGC)1BdWnem#2fY+aCNLWYB51p-WVq$3MDEQFL8vOzcjJt zh@BJZnYQ??no#6-G$}A=d zX(ie~-J^cy*paRFxAX=P;iURk+`KRzNt~6@B>#v#St%vMTE@5#}^dTeo zyU7WHzkdaGB&9w7;es2Ed2nPK!biwPY_)yS%Hz1G+gPuNagafvxCCLsV}+z_jHtZ| zj600^7r4UKZAr9$yVSl-)3tTfC&N%&F}A64nK$>vgX^`tJ0~p^g`p5Y=8Rz%p`Jl4 zdAH2VzL(P8_syAmhg3BDO`)9|Zk=%2l@bzhUEQ6FHy2BFQ0sgnk^IoyYwZ%X&^!sw(R!ch~p76SKp5ZLzW zyY#MV@XAF?|I+ZG-sSl*zRr@^a&rob<=IByLXY{$h!iqR;9j^;JwuyU`pQA0trxq| zrMIEuQ*xX{s2o<`;GD75zw;M;FM$(jaRQIV$O>4_d6u<nc?U1#NF~m^jYztd0Q)JIiXny{bzain6Y^>+ zcB)oqq`P`FuGAAx#vS%pJc%f4?e3k;bvh=rXl+LwKpOtClKia|kE?Z+HgYQ5gz~#D zKx;2bXQM2tQSO_fHaMf*y4ooU9}lHf!;@u&&Wj*oIJg|FdWVQmr6vrDld$ZIZ!A7) zSG!@|2n|VSS}Y~GwW3>o@OiHvbVBw@iboB{V)2qU(#cUx_(|~2cGpuvqhd|_M;VGs z5*$B>Hqhis@57*lsq?)q<}o^qD}o)!lY#~J#KOCm(Wz%7?=63O87PBQSWh=KZ5Eu+ z#mXBe_q}rgJRan}_aDg;u8IM1Wo!C*BSy(%EzJ=wh&6@GJL=D2{g5OR{2-=`!`)o4 zCqLoe%~0T)`auI`VNH`)>oXeM267N{SoT?t)2;U@G+@ivlfFV?=B z21Lnw@H{r(qAjdL3)skCKci}f@qoH$8Y3qcXWw@a>)K}%Fk%P>c_-2Ve#}vyE*sQC zL)Rs>08I%oPwW#M^R6(IfF3I419fyfaTlDCR5%C7r2()&fX9Q8)@PR6&NjX6&Z=m_ z_ky%3W3gP0hy0s54DR)!u%*nBjIxLiLgCmUfw-OP74DR(t7_p&%uXkxfF;|Axo6Mj zBq<4NU)YAS^%K~HWZoIO!B0Y~`=ga49cjQN3qxb)k>PA6upo^X_S|uK0yGoufzkXKy?ey(Y6hZ@R=<|K8n8{@6qek22CN zB{aDoE$weXRH@V77;Nh7r^!0E6kA^O)MuHjWlA?t%xsKpcedbj{G>fyF>eVm;(C7D z@N8?e9>F2|W9Z?RT(xICSxfBMq>6I13ML{5U$6{Z_ux`{xPl7h`i$Y<+bdx@5lI}H z!WTHdbpU=6?1_E2m<(ELm|gkLS7ezJs9_yxuW!Z=L8m|wTf^lWY+ZZ%{Nhya^J9oh zy&|UVLa}72uH? z@9Mnp(LmQF8-Uy@{a@nwRAkZqMLk>vLJbJ?ayANoEtof9rlI8jf_1HE6hA_wc^@Hc zk6$Q5Jyzg0Q1a~Zm;f~%wd9w8-?@xyRw+xg_jrGAVF37<#EL9wi3;($*6915mCre2 zdv^ceybkL@g&avozW3s5w%=LmCSprSK6y%r1~950R1osU(bf?G=Y)=ZDQy#1EqNGJ znYn8odC~W3JD)Q-NmI|(JYdQHRt8u$h<=ZMdz3)|S2p=w#Q#*Y8P;bKk)ji7s~@D^ zQ*^FLM*l_yS=gN5wYZ|Z7_K*O5{^mJzN?k&B&N>=ki5o0Av6rYDMGI(UTKsEua01O zT&Sv4>1PDR&!D7CTJF~ke>X4$rMflDsCk)X6!c#6hRfZ8Up?N5SAD(4zQUy(pR*Le zZ1G9_J}3>`$hK9QQ?si%DhQ{u*c13IFs~NK=nWzt+<&jqC2R@E?Rr0p_SXM|^#z>hmWhvMn@gh*xX&w$YI`TjE5cvAkhM@W5RS%lnY^0P`FsoW9FG*(D(S3{J(j-3&UeVwllE! z&|)W^I^aBCHWCLlS^D{*6?5MC$^S#uSBF*AJ>eciK}kV6r3IzC5s)rHq)X}U<^W1d zcZbB0Mrov!kOrlsI}crl=C0%Sd+vSi{zozPUNLKC*33Ka7_(&vxm-)uRYsLM!(tU8 zl}-ttb~#LkFeRnAfKh;A!aH_Xj(+BZL90`=nBi_Dhj=weQU^>WxuRJSqe5VPIU=vu zz&I9T(N=bnGth7t-g_^RYu*u6>?0{9b32QeZxINsKYx4yVcZJ;^^_1c?kGKHo;s0> z1$a-&mFCYBe?+b2ZlWZ9EGK2OKlXuhhWG1bRXPFIaRh%wO87IhHlhY&&LWGA-a|z+ zNfma@Xy9&1NBSOvi#$YKI@?aW755Zvo8dl0rI;1`(MaIc_~_v#<%*9<@evY70SQQJ zt{QC5wpE*i=9Wg}0n_CgJBj}r8dxkC9H@t7cz&IY6RA4GvG^ot>h&dMGz!8JFRjXC z)$$l^cqs5=%6Ouu`vgdZky|0n9!EprRtYvHB=O(?T)-hwWe!F*P!$F0`;i_0*dr$? z=3||!fe;z{w#9uQ5B9Y(DVGC``vftHGTVZvD$dB=t;`OFQaZ*!Rbao=C?AA{4Tz5k zG9qa<4DrFT8OsR8gZ4Yypf(#M=EBRiGFwp}&aNG0Vyl=#EMZ-46Sd^IO&uFFiS^)L zup@4Ac7U~@a`+;T^Curq$9XFMrMorVn+po=x&y4CN-tKkqGW(-B2XxPV3LR=wf zDKRpn1zG|DswwsETw_P}7pk`{O(5;+XTpUdLCw0|S1}hmxP^LseRHGiCvLM1D5}~c z-~3z>HE**59DxU1Okdxx)&JdnwaH!*?i9w(ryHZ*R}n?D5j%7Is8%U%A(uYikfoBq z9(YsP|G2hrxfPj&L1MP;YPW>0CtS8pF4GC;ilZ%zb5Kvo9)@C<+#DlaDAxPnr%IpMoO;fmHjbi+4p`9U%~t z%h=s`MRszTRWwedUo8EtHycc772P#GL2041yp$>(5GL@PC0}jW7a%otxD`2CJ;hV@ z5{_VEB02z*Xy)hz;4zkEkRaLoi73Hb22JTescOJuLUTarhg;e`tInyIGj7~AQS1Y= zYpAio?N@}j*Qw!1Wz@NxjybbsPh%-Y&becIT zLC>6npTJTqioWr96vxkU6ada7pzy5c4H!ae4bmh`>IuICdIBvh9; zei{t^;58>wyjWm2veS*AzM1M8%wiG0`W{5Hxr%NFS#|`JNa;9b!gGQ#O!Dhm)5v$= zKMar7DCf0ispxW&dEsyF?C(3Q#xqs+oqT^aYtnXP?`A&x+SPnkGO2+vU}8W||GJ#ec!)oeX3LlcGBd2WC#sn#CX$h4J~Zo%qreQ+xAOGd$~ zvG!`{x5tE@7!02 z+~?+d5I(ArXQ%5Gs<) zp{J1CrcR#~`#i9A0H#7bpN9Ksc2c5lJm7;UFNMYu&ErRgyyx&h>;g-_@ro?J5yal&XX<6 z_Va+GbJzhkP1*3%m^w3yq_0TT?&7+c%dW*kM7><;s(Ap|22!PI5WxVC&0aEcKJ5>0 z8-;-+>NTz95?MSUXSB7H_MWJvCf~dg2M~Ygf=Dvtc?2co>F17fSl)Dx`6%2Uk%LQ& zQ~vFi|C`b>zboA#(5ds*Y%%lBQr{Ff^~`>T9HqXQ&3|=KA-X7e7GU5RlbFsCsniD2 zi281|M`d0}>9x`ALyiJ$pxLHNkshP69V#b%0>mw=+qZbfKr4dYhtHD=ox=I4m*)MjZ&G=-_8XX>A18ou+LQmpw9kc;Ql;8K4t9-SZGJi%t&woY61#pTGJVL3tx7(of1o za@Tyc@9(BOy15J>c*ca6+os#Wd~amv{kGiH;PXqHEI9tJ<;dAbQw!Y}(himd3(H}% z_b#vN=RBq%1;L5msrxt1Df>rfLUQu2f?)jkmGg8-E=_`VR|NA5d#dYO#(v)x$P>bv zb}!>cSh`JXa<{uJR(CqzciKn~_XlYZOa@8gESMZ-%w42@6M;lZVWR_bv_GZs;Ec6L zAxZT;NXG4Eyzf2!`(HKzxps><)eA{1k;tg4Fl97$%Qe9TwB=G(r*la&vJ zSTPGJ(~1=;MOx8>-4NOoYCz+cB}h1zkn30i(%^go!($d%d_=uCQW(1M1|K={O@}iR63qRQ z8x3AA2ythBm?#*E2ex`m!>v z7En_SKm!#sS_w42mE&s6aq#~L5&KmS<$br`e8t(YkN8fJaua&`ZtIQ;nuCA7#Pw~E zb^h(p-L~zPPsGOIn z7m6MZx&RJXD80y0Z`-{rPO;}N&U0s8o>-m{Q;=b#KG~OWHAQBvJQGVIHDzvn)j`aT z!PmwHE+QUww8KwR@`y+q-lerENjovOZ@avXbS&_My~K#X(N}`iF&CC@%tQc!l7Eko z<=pR!?C3X;MV3==X$SN?aff68g%v>lhFaNJG+wTpW66sw>uJh7J@rQIv6_;4Yun|; z$z)Gk|3*&=%qi^tx7)4iKKgJPqo}3J1+^0uEuCBF+m6p&ZL=>9rj$+bb$48Nw8t4U zJBAN)a9+Jty;k=SuFBJfF!HLD0wa3@dKg9Y#;kJtpuoUt1<#tEoJkI~Q$6 zE&Fg|e04P+m+?1G_!WGA5@p+ma$*s^u*+<-is|{cQyKX;{C^9>RInPmDjEX^3`|9e z9pc}PBaXO4gw$2%eTXNwY6wypOP~wZFY$fseH(>)fWdkRi6sBo ztgjtt@m=VZLf^gc(L&RKl6c~u`6e?9pSBxvDn6S&!&q|@E21pYi09U#TU$9`%)|B zJKPU+e3cVWR@lHlZC{+{(-MVnL>J*={WG1##PivgNXE!F`5A%ev7smdMStJ}^B;ke z!ppyh_B)U6>H8nih38TfXG9f&eQ&;Xy)ILdu+v1!!Y`xhmF+_W52jI9B1CPtTRQ16N$8kLke zT7V=g*%@wwghTvVaJ@KKCkxBpnY}p2^FI<(cGKM)gy>c?Z(48!Ein2;IB)nV(^x`= z(8TZ0eFn4u2dT?824aZJPxpj;^t#ELM;Je!u3|d?_Z+e~c3IJ5p@o?DZ_BynV)z0S z$JSRw&J()EyNuSxPHeCxj-SMKxyr#Okq_D-Z~&0}+6U@woCGD2EJsyeL3dxny^6pM zTA5F(O-AKc#CJWNR{ao*Jc;QpFhyfpI1&7z-xD~^n3RUVh>D>)ZoEr!9AYgqd=?s+ zEG&mQ-}=!);6;v}i;NWJp*?X?RSvdaP`U{4MKY|&CE+1_1;M}#2jdvzj1v3bI5>SK zHM>96-0?(Uv={f}e%%tWAL{5CfGk@79Ro;rrKOI2DNG>JwJ$o3;y344$*g~dbQRT` z#cH>_lu?gKa5>Z9jePu^HhIA1Du`Os+mm_8_9h(b%cQ*?F87dTxR%%Uqpp?SCU6=5 z3H?^Hzz@fTw`qw>LjixQyNz$)c}j{{(5?OFEPSNY3JLFW{4qqHAh0tiX0EF@GqhBY zlxxOJprFNaPD4-c#W{f0em{`NRWgB$6FJ*7i9Cyn6GOAAdm&1&qOERT6ZVx;j_P&? zLqgEPcf~Y2N0(TwBK|1nPKECv1Etg|-SzukC3W(qV=j8x@Bte8fM?&Xyd94IY1#Al z;3RLfAqx3NnS7(y`5G>lc>bO|pfxhQ1R>4vGpqY&{a|dMGT}-n@MQzuKidPzx^eNi zAE1Tg%ag+ZY#9hR?p4mj!sfgC5M$*VuyLEVjW){Y@t2A2P8M3n1tJ5eJF@8cOw4Uw zD#ka>Kbn)}$tE_m;92RSzf;G2xC|`^l+C{iI_@JE&5^ivue1P2hJ*zSo0F9{7q9DI zI0@ocoy9WgRkQaW}Uz z>QA!;GK^CE;e2~C!iOm>3%`;bQk$BA!97?Fn{#DSlPYJkwB`zA4ZHtZh;t}I-3c6 z@=X7fORgq1G^*LijG*A?FjWlOFqo1RmwJeYyH+{D_oDgk@tqr~#NEOEx5mMg{?sE) zbC=os!nW&P+2^Jl%sIIJO*Im$j=0%JQEXD-8ZVUqjjY0(nccDX3efeV$UYYK0vd4h zD^HrN(OCCvon}OwrD7VD+0R{xDS_oF|?V>=8>8K;$M0m6BynonTlhOz0bB`xKy~}%kPHl(C z^dLSbYX13nQ+6~Ad$}|^81;nj+EGLF;Y zC1HQWEA`*WQIvWyral_?-*JTuA2=*sUgG@Y#R27SdR75rM0tY@X1|Ow1Vn)YTRa9D zs?xF6-k{99h0{o@=JSL0mn-$zwBczUnC~)MZo9-eH!`UPJNz?LW;o=yx(TWFn9mN! zxTbH}c_;3mw;6{jDN`>V>#m(Rlp82MV)1j?>N;N}&EMOdQmp2+T~<4E)M~ReBQP8H z*nZN|jlyyM09X)#ljd~a=7i4{K!hMvjQPK=Pr}2TsQ$SVi-vmyC=lG^pWB1t9>8-t z7Z2$M`f<=1W}NIPmW_%MoGFbY4ENqhUS#lKm^2^QM6r31xAg?aPfHRw*tmX%{$8M< zFip-DCcu6~D`>oaAwM7(4lof&Omo$OnrXR5`f~GMflSEy0m!BT7MN0c6~1atmA&*s ziArpI00|aMJ}aDJP0k{tkE0phh5a$eY^*MY-Zw)=J{7JX)XcyAbRfU+EV67>Y0HIe z0bYFdpnXh1i0zmEIdEe+ltILsxk2MTgd?%Xpms#{j_(te#0aKEPoT64Hi!;`4(*5S zQ7nKzDg#gr2awg)vFPGjQ^#0a@?84~g!b!`nTQiC;t#8JIYeNX7*>#!H)T-eoID~2 zWgZ;oy{UUVYbp8M(`+#6V6)!Ap$cxpXHWLpV%QrmP92}*7t%Y0rZLgQ{#KY%{h>0> zikkE0Ggn;wTGL2j?A9}G;L|(eR@A_dsBcJaap4lFb+i>wf0SQi! zRI7U+og$}cp3hdtAP^bus}^vx1NBX6DviA&4PM7pWtwwV@%BZvB&^2;AYU?|YVkqP zz~;`cZpPgmxh;ZO}U@_k=>I3bjnuel3! znLDn%yRzsN@9qnPc*-!`VcHH}Tr%slyNLbkogsrP>{LhOgT=l<)1hL<;roXpFAL~J zS~45w|EIG9xTr!oEKnUY+U^>KX*nL_t^x0?Rrt_Ib*`4K-GSccv}fxBHCRdZvobsh4Vs`?DbkS9A7f& z##<`--80RhKKT}xN@}{o8rLweio4sQp+9{H*litJtu4S%N-%3n6tY`K)&JS_S*H8I zs*4m@51}pc)rNqj3n&`XLh)ALzQ+-Fu78hifad@UKK9*4d+Em4lV65$CIAm7iwsxH zOhy>P8=fAqad6_%ydf%d-0f=`qdLBw@Il16z4dnmW9(3;_yAkHkC`n1Nq_g|FFM#8 ze7ZYm#(wr);j-ea}Jq8CYN6>WA|L|UvzlA>yD#p`Tb5TcF3sS1adsU%ihrMco#TxBg1g+cMEOHU?NOp1%Gv*0vARDSo|JV`$>UI zZA4?F!}T$(SjjCHmdEfjUgvZds%n_%xbjygoF9y(N^jPcmUu+bd(miuH6GT?d_R)( z$#iji-JszzPU?x(7%k6gwjO|NtC>2v&KjShRfk|cP|Q*LCdc_LcyG91b{04^65erO8s=e{7-5Ngrk&+7qwoaLe3zZqI zMp~0(;)t`Ux5IxJYkYm@j!5n`t9>zkWBgzIw;hOOBa(V}v802h6y)-V^%4DGesU|g zBiyG~QRNF403MX`DaP$PIJWYHr{R%PA{1>pStbJoVy?W|`McBjIa8tG)Eea-qPoLY zmje4wuef0ra2!eRp#TZ$f1@{|tsetegcEn6591akhr+pRUQ_|ZO=bbvikiyA zmH>G9ZuHCV4`1xFej?l{Y}a$Br2EF6!o=qoTzRN{siNv^6n$0phd1l`AFF;kiPZ9^knO-`B$RFjUz~z5tDa#fV28KXWHC#lgXM1y=X;yG2XgJgCRG01-RW=Mh%4hzB+-vOq$S)3D;TSQ|L;a>2>$MyW;C)RmRaD3SR8E6@f#CqOa z6voeCXp2O_4&PZ3HMsr}m8mVi5hMrQlLhGZpDl4cN2vFC2ATTASL8@57(_FjhCY?1 zy&nz@)frLN-P7!;SkWH|hr1MlGl{NPd}2u1cTv3jk#6|P z6y&MeBZ2?n=6w$`-nfQz_u6|5|Gqo}2Ao}q3!K{6vh(+w?Zv0Xrl2VNUR)~w_Esd; zLrVnz*oz-$`>8G1hAykpz3Jb?M z*%_Z?xP=K?oQbx)Dkl(b#`eiCtyWf>6c98qY;$3`sY$10GMXzMroZYsZsuDN%}>5X zgIf?zEL7&ac49??1nBZ4LYM8jo2^!8KCh0=STvu%XiO0r;g-~f>lB>KR*I}~DoxU^ z9sgOfE-@Tz+4|b#U9{SZ$;xi;clNBN++A;{v0Q}p-4_g$k;HdIke(vif7)M)841iQ zKIJwI-S50Nz;=|nv-P9~zU~-YF3xRqa+;m`(XM0CXpTxfVYt*~9lp4}a)t6A zGr;Ki?(%S2fHIi1rVErhJJK#>nzwbDaS<)L!=7}%;T-B0|ELYCaxw*GPsVyh({ggB za8`?Sy`(~( zA?VpmTyjQp_=Za$e&D9;l%LO5uM9R=_nGgEmLj(0%c*;1#m-1^l|V+E!!wh49oD2#=pd0LIOWhsPr z6QtS2K6&Dq=d=xmcYtrbm}efg{)n(^pF+i{<6uMsVdLw?+y<56Fr_x1*F8)fP|U70 zyRK;>>xk!m5b$cXICTxCrl`z`$+L`xS5+i|oJejP@qFkfdLJ&y%bc=^@4kvXs<2*y$YF|I3qv);*Z-v{? zDj{1BZ9ofE#_D}d$K20{fVZ8_G5tB)+Qm!v?S#j>Gx-<}2~cmYT;=yw?*hP!R81JX zwuRiACwoOHz(ISNDYnbuwgN)9$VZau`q}$0G5ZTY9jP--+fyf27?nhy;m?}+_fbSs zIlIZl$vuU)h3iGy`W=rR?XOE&ejRnBHOap9K3}S4X_&whR>}m;3dV8kzd;|`>M#;a zZ?rwwSz>{Yoax1sHQ<^$k*EgXvtlIR$xO54xjtCu@Z~KMcggg4KynYI%?v2|sUfazNo$vW%GM{!&B4Tts;~uCRLO$#G+bhUsgo{Mx z_5l$%syU?_Z|GxB7dlzHWnT$idmPi${IwE@<52Zi);Z+JK5PklL8>q#m;S5Xhb--+ z=hsSGvgfAo!zlgg9KsdrhYWZPJPY#lIH99yo&0fPdHqZGnP72(bNZVZqYsU;W*Kh% zESHA;jrasW;wTkXUANcb;*TH83BT* z!O%_+6Y_ssc@g}fiNM@6t@9b>EtzV4Cl7N>uay90#alLzij=U~LS1Rf@RNt58OT(- zw&wwctN8{09MP9nrqB^-)S{(4W?G$he|1pipWd9Lt@)-&HfzHv(n^bZ9>JdQMWzjf zkMadYHrl|1d6AP^6+$CU`@mV)D?VKd#%}Lg>#eVy4>j@8Kn>Dh-P7Cah|KZJ6BuwF z>Ru5)f<{qvG-v9>=V+*}%ySpUsQFIpn@{MLN)OM@h&!xy(Tj%cdY5(YV4^-tbaE0j zc=h@b&u34R36b1?jtV8R3vl^m#$CS)w25djc8L!ZitJ%7d!N4o*?WlPlC?`m|G?Cq z-Q){B>Z-sruA^I%Q3123Nj<8h@^Q}hd5zKQvjfeKz3v8YVW&aV85iQqcPdO&yC*kf zcK5D!xDH$yQxo^AnKHuJIpn6H`1bFk6Q1A%FN;Ihn9M>xcI?Z}*Pg3jYv%-Nkv5B1 z&=n52N+8{9>r&Y$5K9fnUXJ1K+}c7F(%6C6VEnt;UivI$S%VEld@)>XEk9o`Hq<5# z{J|PCB`6vmi;NA;mvxPdM_LIQ_CM@FW@^QkUhnWP_`anR`}GkU`$OB*yHmeP`v|$Z zs_Yhlm$5wb65e;rLppy83&6 z^IfTjehD5$LCeX`iT%gdn*Z}SC&X6W3zg^7;)$gK&_A7El;_L}>q{tNBLy8mLcC4b zQ~#^e-=>`>N4Jzl0q#V*$qa|z3pDi|7(dCN`Tgrb)tvkvl*{?^vSOj#wc`5E@n_Z+ ze$o$;{PmvN8+ZCj{oZd!WkXQl+VOI&Fc+#Kn>RP0b2Jt81TRPCoqriWsJw0#Yc#aX zdYXY-UO(dx0Gn5h*2}*!S=)@tmf31zpfnB?WHWxZ5vhE*ZHaW8X0+xX{a#b+HvhnztI}E*F_CmYzK!FEdC#c)CB?!^q`s zdgov%6AOZ1L%AIzhL(a7S;F2dpsUt_$aVAl;mtcxF0mlX<-WN?&QvX0rr}TlG>s%c z6Pjo1xZ5>ee(`nw&aXOKd+_jAWC?X`N)EU-H~$z{aJax4WhjkVw2rWP+pG_#+AUp3 zwEarIdg7)bneEgzU9M;I9OfrPSg+Y??`;duW@c4?e`jNuqAV{veBM}pS9etR*Z&=p z8&*IpdW~qHd?Vid7}rbsi$cPGGYyLr-UZHp_pusS3Y+avNST-8s&+8HVbJjoF7Q=k8scA zDRn%$Yy9lK3Lbq`6rs&{pW^xK`QBD!nnkxj=l~Knv6OmrXmdi4d~@jsRX2Yx#GU;z zN=Y|cVy3lE-FNW5U6K?-$IO)suvpj!u&yiGC_Aau+Yw!KE1utHH2b-voT+gv>Fi=TpDE-Wdo!PpA@@kRIIg$m3Q}lxq}8pFs-Ib z5IUJZ3$-1hq&@41vZCN@?bQ9j74rUy1cgHF76Q=-d!xJjF?|0{nN(bqOWW&GIef$v z5}Fq*BW~p1NNs$>6Qpb^`Q9YP1y;C+eb#}ut=e``7Cp8^bH4M(PJGPvSq+0d=ypbx z(D8QpIInn*1gVaWm7Ih`R?t?s>^k-r z-0(#AE9}^wj4ZUCJ(Lp6S}J>s=1vP{Cu71eHF^ZLNdM1g8l8HCtPzMtAfFl{Z)h!G zAOgSjth2z%a6UCzw!kU_KZ^{sVAph(Q?pfHINvx}LN+_hmOuG@E^q4~R+h@6?6y8$ zyL5Q>Fr#P3pUjSAVRXXP&=w)@ajD$f#*DeTD=D(7X5Mg_GHibt1tP32-I=%EZtqf0 zQvR}cv97^JxTFZ_v_#Ea8@+IUOhdghHg+f9yJM`c@lYsivgrGdsnd(mZ!Wg#Fk?vFMc5crD@IM2O(*=t?@G~N{*4!I zcQ@a*l)u(dM~nNhOOgv=iMRgl!MYzq5iCA@djQy=tIn*P&*58E3xN6JfTX|Nx zk~FfPThboTXXAu-_Zn2UEwvHcN*UZs*0!rqzT)z_8x^Zj)A1u&ECfuu@!~x4@~e}c zUo)WmNGvt+vP`Kv zs!De7j!vqd++J6D`sy<5D`a*J+pRzm_qzpC54rlcWE`;39h|=%#Z&Bg7oPD9sBOY- zm*eD_*<=)t8+4q9HlCG8tz{1DoC!qj23S!|avxJfm-}0t4)Q-S%l`e@+p=l)%K4)O zQ?^Bfa~adHb0nj)G>(gd`$j$;U`(MibKM-XCYl?cFRPtX6JP`}D~RPr)js2&x|Swi zd0&i=_p&=b61D&0WOZAtVTy`M-+OWf8aSXvK?Ny);-^ z=mb=0USzta7b6=zhSx-jkLU?H_Ier3yt`YOGrDOYP!S~)_qyNhQ)z{OEG=1aN3oF6kdS|gGLQZ6^=3YLK~Ao`olblby^ zoH>@++00u~k9lYNaZ*_{2#XNqi}gP)e0fWfDk&&u-_UcGu}x!|w)wcF@(iZ?5_DU= zcmtUVCHTT2H_H5I&)YFu@}ga9+jgzfn`yA&+m1e?FG>5<95Onee<`VyBHeWq;X00V z_nwFtu)I1YHIASRkYQ}O$5)%?9PSg0BYQgZD{&2YT|x-=w7Ea4WwpQ61T>2TfUR2` z8OO=(*oV7Awp8w&iCCieHt!$@4EnzBH?cIAo~iz0&{&>4+VA^zaOBXl<3<^v^UQd| z*-D|HSaWI=K@URyrrHa+fWPO{SPp-iwVZjZWu#2@s%A*vfg9b*88PHQp2QIL7TffT zHNd^pIG%>+EnzpIV;S(ft%6f9pX(j^dU+lBRWKey_MN7Gc!O2F>~jBhsWZoMz&SU{ zfX#zSnkk@via@~lxVREX{BG+f!@V>Kf&Emcc$@JA{)hQfOZDNmJg+0km05GaLFkG! zp(mP_=;BnOvyWo>7wzb$iQ;Q|Ag!f2H5da#WQR~Gba-srr2RNKRY1YCm0vw&Fa z+c^@p+fxH=Sej3jcy+|xPCzh8he?@LUwekKUf7AY=q`gt8P)M4D*4bw3iC_rJ+~~w zQ+*gqlMzz!sNX51wMX!Eh~@(iFsNJqrjM`Vs!g z!ydmLvcx8UVAKdz!pc1kVFWn}!1FK7p%H4SG^+B(IpItQaH3eg#NHlJKUd6gvW*Uw zLWKarq}Lh?dKp4UI}n3sm6gReJ1c=o=Cp!@A%Y|*xGeq{^jmbt zpoJ_FWfuT9I{;^*1wyvM&iQI`m>_P|Frq9x(xs|9{E-BvwHi&49Z6;xCP=1!2Bl(S zRKHcgK9NKvlZ}LZKRIAg@j||Ili5{vZ(-;VysH>wo4laWkEcHVFzEZ7y#qp@1nGg4 zmf6iC(gG3Npx3S>m1 zz|CvgDkjZPXe>Mjqcawo z&TF^HA_`EDGq%R~N^nWbsv|^tJ7=QyxqE_$(=5{w!lm`<=CVar? zUjpWar2hy}o(~xIqd-c|mCrmcyNk4h0?DnKL8)t^HFv$5rZGjEx@7kKZRZsnPrhJn zkmxbkPR6(9>Cbz82jI{$Z|W-R?ic<`aVvI|zy73zq&z`BXvi)|kN~CZkg}f*+~sy$ z)*?SZH9a3@&xV9W1tz4uyGiqNiG)R*%-1t6kzQ$w6Y1B%6JuBw1&2Paw>?{hIxzCwu_^uy@f=eEfP192rv zzxHVf022A(+k@=wgB|z2f1&S(3LCZ~9uE`s46O}rdF@c&n2w<~Y@Z}LHPT3)8Ef}% z2BsvVZ>qwn0^}PXOse!g7LOg27cF+HUuin#Jb^E%#yzI}0d=2}iQ`Qft!`EL`uLG_ z4AlV|MiT*i3q|bG#{Qf9*(i;t7%?2m5&>MPY%+(&b8IPQFw~K$Ef-2%YYDo`6d;hu zO#%!Svs368tbRdoTrbK{1$wGnsmjJ^F99=sdfL^fLqQoQ7&reHCP=-;V-ya`!Px9K zg!79Y9u=$FITcho#tRNzFOpYkN$1Wzo=u{kRCye6tOO^|UX$sjZb^Hi9|__7nf$|v z(j2rLEl+7aH^`r29Z>S=Kge!DaJ{C{_`L6MHaJ39uUxPiKHZujhXvU?{pqm*>fa$f zb)+0-H#9!eXr2LP#mw3)j=0dsoosMb(1tZT^!+RA(xCT9GeEr$$T!m=9NF z;sDq83-$vR#U_G#8lwRU1@$%1Q9G?=n{+!IvX}tw?ktcv4@>sDe)M0ptKZ zm!-m$z-jk!W5|m`^%x>SL#zR8-B*;RUW2WLiUKi&@Au5b-4n=TMQtxQJ1$|%;Xid8<X4uY7CP+2%SFGL?YUpxD>)bAfBi zgD^?%@$wENpgufu?!7iJigKXok!H4Rl^90!!~8g=z@d{%6bb+F(i>zIhlpXHL0QCT zX4^s06s8AIc#DPrCqyZMRB@j4Futmy1pw86?BO?QXbD-MwrjQ>ZEkCvAE51Cjwi>u z&7p8SO@VFGGjs3;lRzBQoUq6i4TY)$hQ=rYikUmP0JUG?5HrgD=V_pmSuIz}NM3HLWC3ZIhpxT81u#QNI zTH7MKhDnojVSxDJh(@0+#ohgh>JFC6Sc0^?ywKsxYo@qXrl-8l7VCkfDmm4vM)+apSqdJ%fSya|T`7Bh#}6PWO^n z9lWwy+m0usA4Uh5}gY zkt1x73Vkh>j=aVoi2(Hv$d8{DW^nk)r>0W?Xm76B{q{)cWM#+e+m-yg?+1n2Fq2S% zE4$@+DHk`(?062nFo)-UREejhscAhqR5s(;mmT__r zC@}m7kH%+Ay*`Z;a7Vs1x4jU9qF;SyNWwRwaUb(!L6TFnR5R+V8KfvH?~4{|RY+B2 zFuZTus4Ye8SW#Ch3~TM$+Bn$c_KI*&!geF)-JQ0Klj{av(5g;StQ-2dK$?Tl)dHop zu70wdWzGGaFZ&zi`4>ODnJiZuNKy|GNb|KOCEt|jx+D8Bd14(L4*YYzJyKf`B^p}-JXE%0Nm=OI!bx}Im zav}NYFk}-j*DCwpO4Cihk(5!XZ!S6m$Camf(1aXu|1D2|&)|Fl2&?$(b)qiDM~w2d zkF7d_FvZo4w@?%(;rhVBwspKn_%#-&%T%;EoUFRJy3#PB?ND?cdI94`jrRiW7U%1# zTmxGQ`X*)JiLO=Pme`y~Rw=VQJ>fk9?W$A)7T-}*fz^A?lex@oLC>nq44w`J@6XDryR8`u z*oHF1;MjP6Jc$V63M6`ChIIS*fcFl53BX?wf4ck{Rrk3dX1Dl9fFfMHy0In(#31r3 zhjtnnYH_xx?Wn1Bd0E?ATM$4J5K_fW#w%LF9Q^ zCvQ)S3LPL2Oux8Zm*Umv5qRz*((&SStWs zu$cu@!Fp%a8mw!r>xlGUjFkf=SmR)M6T_=U+vN|H)v|75?=F|>Pg7uUsv%swg+2Da zHxc~^I3arr>~Z@2&wV>D;=lzU-%~AbzEsZi%*KG_Te2HsYhmFstg^cE_G-9mdfL3) zt?DXPJP?Z%!-e|JPp#K#M1j6;ie>;Ve+5Kl_&t&f0Iz-uh)=R!i-reS)-9% zHy(=d!N;l&^xPU%NYN#w{PH4hgJDVrwXs60aHG_nXi=tb1_w0W_BGTXEQ23p=>b)l z#qZ(YIb&a`3^LFGziqomW=B7u0*nH)s+3(wJUcFTA@{SIu5C*BP#2LM|GAhKIRZY? zt1x%$(9whERD+$hDjF|b8#E^DEW|x}7(1lJ3JUz6{p~P2`vhpEAFKBIo!^X}xwghC z;@ZvMI@|w7Qp?r#E1hUkx%4z>%0A1Zh_HA7V7r&s*M@1p(!bn z(8rp%cgEumsR|qtUf-M}?+gJbjjAZ^0lFt~NTJqn;m^R@!yG>?Iq@AIx;HE5HS=rf zxtIPod8t8Q*DTAcCPdu|{Y3k^=g0TK_Q}QlE=h0NeWav(fhu8e)py{*P-EJ6zIDZc z_+;kc_-2Q+QOND(G6y2u$HPswV&c9GTv8~jleTrw^1BNQ{!$)`+X~E1!FjG0(~Ghp z4*&FEVU465_pNV4^l4@2v43a2hk!=UdcWGxh29jq7c)+%@V7_q@2SU6Zsvkq^8Nno zCVV#K7Y|e#*WI+N@E0{;@RQ1s*b~KW<{-Cyt1rulzYZ-g#q0TWutoFb^Xnc&c1b-k z0i-^og?_*?@n5Y$yBeFaAvT!#IBM#g+He-6T{nL{1i;(l;iAkyrV-g$g+z#8;Cix6 z%-P24?p~ItMaav8#VDxy*3$g?u9@uW7`ddz_em*JgoFZb6GaaAVw(F0&-ohJc*ai( z2O3{c#egf7Pjp7=aJrAOBsUtV2aa~?`1YqRRK zhTHP1zZT5&g&*_-03EG{?{0oNzT|RKzoAiIz1PO+t#k9dw|4;CZPGub9an2=68&tv zq=Q{U^6Hu&1^1)!RP7C*tgO}HKUzv?ZoBF+CEl45)-yfFm7|{!9N?;~eJk zA5qYn)Bz=z$>0bQMWVCLP-6nb=Lw&L#Sji8VB>fBM1mE$LeM-@TnOM@+_YY6R50_| zCc9!q28$(L1>ZPbst1bhvvis9(8P>F#ddaew5@sW z8g^HD{Fq*a{NRza07D$z_Z)li zObVIBg9eAz+5N>OBB_kO*BPAsug*G2n5o6?=CVeH_QWgOrMpq{yKybzBu+{f; zTZRu;NNyv=v8*>Y5DQXeJ`GlJku4nc$0nqY5qSyP!?%tj4t^yDx_qX(U7aF%gTA~54-zTtQkdFV*9cA zV?pfW?z)Yo2|6n`w+pc&wCCa?>2Widu}hsj&!J8bcslp4n)SzE^uvZqbjV8^RyqDcC}c zrB01^MT_(1q|v5AY`JhDs;4*5$&^OWG8j?A%wm0_Ee?{{nQ6a)B&PQKaUBnN0GU3N zdnBq^JXI8_(dHGh8{hmjKq{j@l{fEI6@$&`BmeeqmhI2F+@c-d8H!%J9n@r1V9&FO zvNOC=;Mpcx4E?wdD@(;YI`X?@Tu$)c`AD|gtZiQYg?B||m>X_Qaa4kRRg2RhIJb%L zudo-zw-tGCrgP|+bo1yto-Uwnd=`?2zsRu;$9|PObwB%?5iDb#N!JZFIWiGE0}VWt zK~Nvn={;wFt2`&Xtapn`^87t8Kec0JpyKl0&^JJFU<&MPy9CDmuc#3Vh?b`B-pjWj z;A-Kcn&n>uBTxHaE5(9fo5U=0G!*l&+4hCIfYBcf6ETLYQL3iPIOFSM$tOt4)b< z6MC|Y!{Zvv?Dp@IIfBteMgQJ@_jmi0$BbTL%f{JWIy}!m7?E-R(O{*c5VPbeK1KQ@ zJy(8*ciM>RmH+6I?QSy3GkPNCz)t^ZTN`e@4xt|!DhY!%=oybo#0hlOkEd4a2lsL& zsQ4e%-Z8KIH86lb5&cH0@hdBN9{%Z;@i!MOZV-U+0K*&Du+<@abEBFMk~yGc(FOJ( zmzQBTN;1aMB^;^*G36Vfbkd_8%29SoKln&{Jp*x1|`dvQX=Y5{{{sVt7+_~qTv(G+j z@3oe#T*$40=EcFmfwH=bcg1m&-od3qmxs1yq9y!W52iSem2<*=;@nBPXw&->?vS#x|FlP14h&9vik6^~`h&ynXs~wamjb43J*SMHvy3TU z*OmF|g|MCFmS%`8gUB=-L$LI$gVNGA2~Q#){rUjFh=F8g?&v8L>1wL8 zKyq(7xY!kP!E}MUInD2SemFY&0pIJgd4FFhfvOJlDJluMTG2b=nlq~6`apN11l0%y6>9skkNXw@XvDP zH0{e~8Kd`xP=j=YEu0$1KF$&CQAq|oF#PMOx?oCcSiTX*&jm{~k|PEl^xe&6Nj#)} zFvgSdWBCu;&j8#izwDm%`*Hb4nG&T~ty56?GH5a$#XYd~LGZTe$^o?eGru$Rk$0%- zGlR=kgo@kxM#)fD6REl-<8t4Bx}vLuw%fA>d#o-cw@Gj9IjbQ991*9!X{Nn*OzY`y zXCPZ+__&1iZZwFPAAdS<1GU&y^4iOE%k{esp9YfENV-LN>Qq8w$DBEBTAdlr5K#^b zlc92JKeo-46UnU1`6)!O+&WF{e;0r%J0j_X6U->;ri%O!x2r~JHc`Y6xP3yi20S;0 ze;v}u^s0FOpYrn~RdyDvhh|VF1ib9)=Hsl!@4(-NvgoipKp(ON=j$eO#T$2sXUon< zq@{o7aUL+R6CZG~G}WPP0KUnlTrG`OV`opSK4jeEJ;YQdW4@{RrI>e^Y)P6XHvDI_ zlR#)SElh&iuI3N5U`@kR9vP8V<)%gU4f=vYlKtTrX{^_CAGIWpcrB{yoJX=@3}MhZ4U+hG$UiM>e_n z9D74CPoFZ*c;W=w2@4pYvbP+hKJDg~{H0PJ`+|#JWcq)+tA}w`{(NS8hhoQ-{pfkz`3C{h5!tVMOmhw(E6UkmHMy#mbfEQJ=2xi|ZN_hnZlew^3Ozt-e zzm=QkXun`uS7kSbIq+8B_2a1@1fBLWB_U4*))F)%cnZDPZVG`X{TnCQrk7v&;URqQ zkI}Wwc6+B7(RSd%=t+FTHI7J1<0_D8HEQ5g%}Eg6>#=CeZe$~$*;(C~nk{lHvtI33 zQ`+6a524g-o(rp8G&)Bixj}RcMPMLc)YEpJoJGwdS10Z{nJs2i(%ljq8cy;tMh8TqYO$pD z6k}wuMNY?-H7Bn+%j~E(%?2u3uIPk|)6uDYlkFOgf-UD}^Ne;>4Hce}FNT|Y@L;|?#4KYnr`~kqH z(B)7>a(yQ<7G@vmm+-kZRPG@^me@*h3K2D(2Yn!*;G?B1U%`5^U+bGY=WJ#nb%WEm zf3qK!W|vb~hV7KIum7B3U}3w2P=V!hnbF|3D^Ke~T#I+-umVac8%2B54B?JKhAMNR zBSz2=M{GdD;~sBUJ8lFqM>6;rx6r-maqo)w{#YCNqr-2u8O{pg@ey~zg^jP-Ml`@L zUn1?!?P^kRpzap&4B%H@k_6r59GJ#qR3E=Q*`yGKM|mn|O^=O-%eFjc5f|1jm%yGc zd_-@7J*?ONBt1H=B0Ao;qd@ris*Hed=yFA&B}IYoD0GrwHKhTRrn-~i@S6_li{jug z?vmJqa_>Ywao{%O(lU{VWjIO*LxnIn9#7|5{4g8^JsN=WCcwMwOxS zakLspKWkc1hn(pGg|f!3t2cLYak0UkpF%t@!Jt5*xk%!YiuX-P3S<-)9xLxs7nwhL z%B1T%Wi*bKt)l`;=}ZI;Ry!dyhkQGHhZMyOU$_;_V9ay{#$PX*?nBWfDxiRf+U1D&0Chl99Q~7f@vQY+!=0zV8Wqd^msLVkJ4FQ2SW~0yikleQg<0UR ziEO*sV0}hhdDAjauhPZy$he*v&TVm8X&9@57E4Yse+Vq{JTfmT? zIBWF{zhf_?L(REXd_Sb(hF!I;PfJsAo3adaX5}z0kfA<)&tZZWNCfF%_E0H1N`qNJr4ek7vR>=hd+yi!-F!8p^BHC*F11*_thg7``?PvHt+aES zFZAUO1k-5puX-iN9%5OC{mcXy-OwXm{R)j|`PLrOaNR`leM3#Hw3u?nV^^i8nf7zS z<-D&D&!>q3RdvsPEeYyJ;Ro>g0v#F@?t1P)K*PW4gMEwzv|$!rAiro`92!%IPtkwp zkbvYrq*t@EuKwZdBZvo|Z4f*G#uK>M{+gdi951&$V+`cf5wthL$WD;1cLJ=uQ7z& z-sbD(LF~=@&JuzoSwsG93Gy#+(RHNZCSk`^?w=>-8M=2pf|6O(^vqU`>l_Ea(g#b1|^QX_0J zH0opMyKfISR|o0qm-`#=u;GDdFtd1{p`gk7O3Mu<(Pzw!8r?$1miE%w#lDc?Vl2Gm zYYwCuJQj=Hseh4d)?nO~Zu#Ozq;>tnF}ub!l|B|HYJOkOCK9JDKhRt!_hie~CDpl7 zT84pvOrhmEiHm4JMe5oeJq{MwS#(tIM744l+_78JUkExpsW*Bm(I0gV5xlUAzt^Qb zAZ8scFsg0MOH&l7hqzXSKKEytG3FDH4`6P-a?uC;-F7MvQ-<+GZHDOm#p?X)9ubC~ zAT82hdj%F}U#OZyYk3=1Hr)E(XkBk(qpujnnmpKyid(O694b;h?6IYgZuabeYI1m< zv=Em&8vZZfW1TD#$Rx-eOIpvW2#N3<1JzYzsIMzOdYkn*_iR55IwyjaGK4~q**g~) zZe~#BsTxDB^s(($q^x7TgUAL`oKk-0sH$LSx_CjoS`}MSg!CebVeTZtH267g^-&_{39%tev7Spi*FO zBmCs%$LRaajB#kyClRhX@y*s^F(_RvX1C<7)oCzHxdtIY2>J1)&ec(DT9-af)Q2Oa zV|Y+1zih7j$DtBxlK&njsW^j?;(JZc^Vh$F4ZxAn?QV{s>x6-rC5r(j`l;8 zxQ2O+BjndvzuFpJWhZFo_}ode&l%yOTH-n;lV@}`rwfGAzkdtOniR{wsHbC_R9uO6 z9CJsfFUO?3Z7RLFdba$2_ ze%}x-It&{-LVf34>xWAytLg6cp=X^0+W~uh-`SQ~tK4c+ZSh~yFR-?0pQyd<^M$s- za*Z;b3rO2U1DQ1lpz|HHVm&misT^D9Bl-&fg&8)mFE&7+PbIoGe2KkZ*3?$mH*MWK#O{nGw zxR=ExvDS1O=|*vgG)+Jeq{d+Mc+aR`;ypyjN*e2V@FC!0k8v2678j5TT8MRTN3Fhw zl3j#=Jq~(yc^4xIYfP~R=fNIeJ5b0VKT!YP#3lqzo3vu^ zmkRU+e!@{1m0R5KL6gp%c6<@l&F$wTlZD&aiu#v~DZlI>P&o^AI=E>&VS;U;0kqLv z%8_R&lF&@hm=9?Cw{hK#$@~VCV=p+(Jl3)bX-c`pm3XK{$yop1VXzirM5v12D9Qtu z#`0V>$xcRNl(3eYMGDf(B!c1aorBT=61d}yNCrt_5QbdOXCkqcm`_L8{Er068{k)c zn|whqrfN{mHL~rh%EtF2TctiMwQQ@wwA0ymfs}Eksy+ABHQPxuim!;Mim2$lWBCqA zu@{4W!WVg%;@O1(@9o5XtPMZSM5mo%?@&#q{J&2p9qV;Ts~!02uzAVEOK-8o1AZPU z45eUBQXq>kUG)#rlHSxQlBsPcFUgV|SgNBaxLjE;o+_}T{Itbq6xC$wr>(Lik;a7% zRPKpQi%tl37kZSPzk@s;yHs`ud8Jn|{UtHHA0LKnry^_XBu=rdS-KGuw=GI*+_(R) zjpJwS5KYlr0?-h-chbe*_Oj-je>bq9^hb01#!mCKVvLx$&X`|gu?TV3jn#_pQMrY7L&TG=(EueQ7=sxQOS>Wvb3u&}pPgDYQX zahN?;Q`~k6;`pU9@!AsN8v(2(LI<}dqCZ|-$`5eVq2r9S6OWleu#(Ax^j-c(HPpsyhes@6L$-FWDKkk<>=^p`mb@>sKmfZjmY6oQ!&IMJtA)lzDT}UT077 zXb#+Kwn{huS-p26Rrq6U?}KBBa>vXd|Bx}icJVuR^AR1IM|e+#i>aXHR=x1wlxqtA z7k#C?^bZm|A03qF)8p&b+mW@>&L{Owdw({!wRAjtzXa77cTU2Eu{ZVXx-X4hh3y-x zztqeQMTf28C-F5S?FNumz{^vy?MdSK^_II2)h)6aM8PoKr&!?gtv?ftl!=yTfI_mm&iVt26s^xmE;>I~GW#J3vrh@ADCc2i_0q9_hsXuwaZ3rM+`j z465`hZ`WvfJL!iJ-#p0OO04=^VP!iGCPzPt>xnDuB33*nB$2zjv0sy}BRW28h5uG` zPu^ua>9~;;K3FQoBGb9*@`=;sI7gGLSLvN;o}P(p>d_!c{ZwY$?uF73a@WRVGuhPe znQIEftuMvI4`D0*^z(D1Ln;WHcA1anLYhu%@I>p2Y}!>MyQx|1O^1z5ed;`e-8!1% zLbdLdlf_jo_Nt!^ccc%z)t-Gn=AbmvywwDv{UiZ&>o2NH9p5U4U?F9ZzegM<)?6om z77g=Q&u4RY!9Wj0(l0=v+en96Y)HUxYI}(@ygO0k2`ab)(4*VPVi{giKqIWTNl>*% zX<~zRx;wjbvd9!74Ph_uIo3Kj&8&Q4Z@b1eP2LoA-@cvN#mV)Q$Jyo}UvX8j6y$b{ zR`C61=^N{C!5RYQE_MV=3lVW6M5|{5q}1MTKjiQ|t+{;!%FuPrz(((7{7BeMJ&v{P zFG`S|cxj6!(%%?ls~*a-eZ^Y6X61Xk2s%b^OD+x%!G$(ELk%@p3G~H|tt~Et;-Qpf zPDG*617ltB#i-|uU5s&A=c(&l=Na%onNi>Gq0d!6yfnq^a^$B zlDa2tD57NbQgy1;TG4M}l$+D&1`oVeGR38IP+gl?@tS_{=CuB40mEDoLAySy@eiVsUCcSVh>Ms_ zv)R%YR69&W6|XxDMd`nU6%mD=*!6yn7Cu&}g{x2L2MVZFSHdu%Z<5bt=GzmpgKN{LGO3z=`!(Y7tvim*V}yi8WKTjtxC$C;sl z-IQ_qKVUb5$=*JDoUAj-*@41AqmpAxih<~wH_E%#|HuDhr5K zV}7>@MMstW>~Ks1GOBfPu|?`bv;=_DUf!RseH4V#Y;;K=hFxLmGQ|pRk?w4|GpFaX z?Yeq3RRB<4DeV8&+sq=RL-9f8-5gp1g}Vt}D15jUGCz;DB+1;{Z;wR(J@j|#I4UXX z5-r}1l3B5-V4y#8Y|d&0>cwy^>##VemRDm^6TgY6lyH8w<1{Im+Ps3#=eQI;FC}n= zf3NjN?P1b++|p|Y{hAUl+K#j{?ERxZp+9d>eh zgfBET@mmi=lo`UmHY`g)A4f|u$7Gznj+U@;i=vyIrIu^NLQm4bZ%nwhFyGHPT+r$! z15owkes21QknOw%gAiy;P*w|J7mDUv6NIaJGjahLsW=D-{$JTutu=jLC$1DFzkiE*p`#<)>> z1$Cto#m#G!R*whfL+<5Lk@%1ixk;vac4tfICcuoJ+QJQO|<#TnnkL#Cu)xLwQ z){ChGrpEg4teQtGovN^;QEa|53`k1pp3zenct8wtf^E??Yu}0HJ%bGEW1Fzs0#zGq z8qQ5e@KGFKUuEV;r&ym~O*%VL0X#WZ?S1jIZw~IxT~%5#lOGYvN?cr-->h-_jnLl>o1)`sC3!!Lyb_uesXF~y43ymFqx3koFYA~;x zp2J`CxfP79KG$DTT1mlQR8r$vX;-zO4CudGa#D-0v=gsk2*x-bkjwNTk1}%kLrNge zSjPw(H8<0c``BCg#NI8r5^c)z8v1})xpGGRtY&iakVx}o^gHqP7qm=+Hv2d$td{O~ zN22;NLd3_cY%po>pAhw(L^E@>)?JAqM?`kLKR<)O%tP%rbRec|Q;oQ(10mYFPKBK< zc;fv@(|~BKrzD(rNm}kTkYQ9T!oEqP*LjMLd`JaLf-<%9*_8j%?l*N!$}DRtQ4f6g zAf3ND0%Q?DU)OHf4}G%TQKC!PU?;TpM8yp*p9Nu2j)dk$r!kdl`@GXEWS~M`6hlB& zNr^$*AGRfg@`X@kib)2V(XYj-NwBfGc%r@u?vZ{9dxsxqd?LLU?%a7W(!Brf4_t1Q zY_C}S>M*=$xSNkEOKdeW2$Q^v9Cp}%M_p=7>FY~3rm;rE_E%b%Xz$BGCl~d^S&&F< zFE|Q!=RJ`_2fb^!W{s%8?Cz9Fj?)PP!@9p8^^=1&lq>k8OS2RbT5IS%0?%j z*2PQpVpt>pkW}Cc1NGeqRfINKSgwo>UMGD; zgrT{lW8uVGx5_8-^E%g5%3%TgLeKXxf+_{1_*7%O7W3QHiEwh`DK;sre9Y0XJ!1mg zu-OhD#fYCYbfFAuHDR*-G}O)q$RftOqEZ`~{^BbXQe5X*hxH3C5E-}V(s!4=n`co@DqPD{uA)9bBm z!#^`ed&XB1BwfKkWJmwQe6;m8!}sY*frpwvgO5P$dZzLv4O?72)E6T(A|cOt>@_w9 znpBY(#XiEc(1mV>bs9HmFFoh0_fx#m0wiyQ}*CDym;D%xs44hIfk?Am3acE?7lU#_dmG`Y@A`@>(U1U zMj-q_@f>yIh%^yJP|D^&q-=mY3A6h^9l@55fdp_Q8nKaOiAYAfIJ-d4O#rjkm5~0$B^}E-}_wWa()`ww@La~O_HRv1f~1^*CUs7Sd6 zS<2TMoGDS_lKRVrLs8K!)r4S0oZk*~YUHl|NzEOxUX}~_l7Dz}EVs2B^tKfJ;~vk3 z%|tC#M2*K#(T~3kNwcPRK7M)o#9a`d3CLi$Ff8R45uE*24DN>_Nv_Z7S@p5>S_o1F z(%SoOYbOxa>M*d}(hkz|4K!u2ecTMRQ{i{KK3DA!t&&T}@cqSjlMf%;Rz6APBvldt z<$2;50Eytqe(i80y|%-g7sUJ>3Lu^LL&C*8qct2|LuBJmS?NSSpBvq52}cqqqkItL zX_%p15>{|pOF|EUy0~p_QvE?m=O86A&WGi>b&9W-#}GLvOsC;&zgCU6#7;44KaP~~ z{d(=f<=sKj7JH#a7yoZ~IegujQs)_~NN82+my%Ftv(B@Wjy6R!7*-R@+Isk0yJPZk z>^ROHNs(%h5$^*@^ytoZx~$FEg|$~73yNUmkcf}_&imT>DDO$)7a!)7EV3cW6ehEx z{jL$Y?a84=M2c;S@2tA{)oWK=p{LX?$2+ftBAlx*ez|+*Gkx=0;1HX${i5Car0eh> znJpHDRb4aQ6}V_UFAo)1**Igr3sSL-pFsGlOQGXYqg91LLlp7YqX!U)O}w|jotF~% zHVKTde3)FAQLWUaEABU_K7wplFgiOftKXdZTgTwKM&P#R2E|Sc84%G@A7c7)X{2qm zvZm&_+mbP9*a&&y$(xl)hAAOj&UAQ2p#t|Bq$W`<(7O4;h!4aG*>IQg7P=d>YTAs_|^(LLRqrA zeInXFe6B6nPrJIk?loZVsn&G-#*&#qDk;CQ@w<_-l?g}WxTyCepdg6gS%o|N^er+@ z;3vg3_vD(s9Kph2{wynO)(Q-c|N0W2F_}`OHQtcUo?0AdwX8|4bWTTP`V&vr4JzmzRl*;ULa`XY-1TyCz zmteHs79#!wPYI-#IOy>Cj|4i6QQ~RMED{vNh+4wii+Py88@_$h-9OaBK^mG`vR+}5 zkz1E8FfM84uYi{}0+u7d9*v^Gzh`M~z>B+i?VN!fU45BXfPZY^JXmgYb~!%eFL%0h zzY}@!KnN@hsGv7Vsb7iQe~M}^l(wp3N)9RNtO30x*sv-}iJpOiDoi6rD z)(GrCV#pQ61R~!ifQKLV!Z?)h4nnapwMO@*D7@@~qzKB_-$clLjwGnF{cw}S8yXq| zGDp5xgrC&CdzYPuWm_qX+_xNFV*du((ak=C1_OHqKSsbiYwhcUx&%IGiv5r)ad{=P zDx1=fI#^UQ2qIZ3NwBDC)AqSKuV}10wJ_~Nfufob?%zz>bt}4o5P|F%c!7W8 z{X996Kb8IEA)lBc&?XEYy-KJVnc%&?QPdmA%3J&k+7^8VDPdZP`|P%y;Md4dm?HqP zBy~lNxh0|;{lO#0QiGlbxz93N`x%a6b=ft6KWBYMyO+Qsc-H>ruK3`bFhVCZ!ghc3 z`$JZ2fqBK(dwy^#+^G5y}D1OFDhqQ@pqGIif?keo`h`D9s5cRj z3p1oBYnhd^D6bQ5=7$`ayt+hLL& z@;Lo^#aMap_x8ZbcdI~FDNMdAH=bx?d8Y&#bnYpP%@NY@v4rdQUFxMh;zvroJkJ5krix0uy=ACvI0_3>qjrNl|TMj9f%&4_SI#J;i9KNu82Qwo4>8_ zG70eH{5n-MH-HtKSd##T5X_6HVtQkmn6I{Z;_35>vt=vuiX8?9@WkK1fSzw0!)_jo zFkev^>Ls9`@fi6@JRgWYf>tfSupn;MF`903)i7j?k(sL@S_{h5JN7v_x^ri7KW)7= zyQa3kBk)sXyDQYg&$+H18+40oKu68;YvIOmXr5qpf<3S?H}+=)*f#U%p$|g2yLWdo z9b8D9f@dp^YWHj3yZ*y;Y_s0ZM5kl=kIkfW@ECeqDJ=%jvaBj zb@rm)rE5AYphg#FcvFA5QL*3jJsUxN139X+C9Xn}&87sh{OnskR71xQzOPMT0DVna zO34-IPRD!Q)Q;Q<&a^gpcOZd(tGMQPz6ad8AU`5p5)Fso|6aDiYC9%*8PS!%4G;JI(FMF=F2_Zy!6*BR?sKwVWnPZ=GoiNAqgl=6YOQ?{8 z@9g8awAk|X@($`T+*DxotE$Td*!aknbrJoCs0zuS-{ILRZKD-bgrCd2%SLt)gHn+T z#rShR5^5u>P+8bCsB|iX9vxkQAEd>3^b4uSa;8VFB({cGl5TQhQ&aWG#C9 zLz<#egj&A*g_qi1*%COC{!*yW;`oms&k&$?Q~~LTMA~aznVcZCc)LCzJWUDU5cK=B zw_NPGesMiy!|Yf+u&yXdb6~n+nfe1y+729ZjcZc39ZT@@+@EN`fP;5eoe?fBxqXuW z{a|Q7bEk6&_+KzsK*-g!#;rho`*BX7J~s7-1pZDn(Dn+PR9jQyeWQ*jfP~8?bIOI9 zO5Ng?Jz*wu-5Fn~F{=sO!zmR5u-Lf(wN5;MqVf2(|AmRJ$szdjA!;Ot0AIGp#Y;Xa zgU(*C3D$24R0>dmYrF$rabdH-L7yygC`;j>B`P4Jso#Fp0pI=2Iu`Ie zdlZzV125I7i7E_~dF)EGfX`d8c_3W$5%vV?m#;ompbYDzG_s!6#>nzYx1NI_C^Jqw2!$1vGC!bS;0dp^-1ygC;;mq8~dh`ZXiM3wdPxXZ7-~^ zH}-UqTo+7_z{@jNGBvhm2s~?U?_kIK8XdE!G=2(oDlRMEVA(7;8}w7}S9~4nD}-gD z=hHA^>p!=y4tqYU>0cmEnYppu&bM~|h3LaK*#R2+LHT0kHhLW_aIXA2A;qV*XG?h; zLlA|XDZH4W#>FMA3gCoh#B5}X=z*~#f)rr#oDX)nnp~%EF#c}j z^KgR$aL~BXf}h3_-NkvFv`IzoxwaVQ#IsI=B7VZo7X|BSUnN}CqZL^KN57+mxM@t< zqSwyMey^$0GKG0s?4`+4!JOY|KYK4A_EgCm3`iSffI#m1)LoNyHSXu&KlFd?aY6!Y zsr||^0^_4T1^bfiDNCD5DVw5#9@WV0*MF|}tVhHX@fps==lXINl#=zyabS}A-&L;+ zX6;xU%I|9$k3kG+9Z`Dg}8D28_a<0CTGK``p2$IB=I!6#Io3)>>AYk4~S zcRj$KAdq-wF^${?fUNid5E~z^A)HjmGFQP}I%pO1L|aZXWOMBgAXa_-d1jg;d6m zuT};&!vG>bLs-EIY_MBj*b#a<2F_qw zV*)Sa-ZKfsr7M`d7bJfAS*$H44Fuhq!ZA1=R{-TIrx{A1*RrPQ%TQc@g#pR~9Nko` zIlz2e)J-cb3}%>bW1(p=V9afUZaMuOC6>t7S`;_1PA;z}nOMc@fMDr}pu72|jQ26f zicV$9IK6!%{5@Arq;ksKpTD*AW()LaMb!ZX4=Db{VMTrl3`Q=osk)J!LvX=f0ql58 zC=(*t$;GG=IRs}haV|s7~iDRf=gBJlIQDxb@)&?#vDKY^;JH%NdN7J z(~jVRu*(lt(`XE8b;ix_`R}*}hEL0SZW3c%{4i-pd;(1IEd={Ix&Ca9r~0LDp2k#^ z9Eq%8nzIhKFZ}sX$q77nd<%JNYa&vTxLW41{Pjrv%^$?Mq@ACxLJ)x-^zzvkr;s-l zFb4}aCWL(-axBk`t^mae{HeE-G8FnFeWc?FVthJUbwbR*m95= z#eH)ph}S82BOgUBe#e4l)T_}{xBE#Rc|&*X`SPBeWtph&qnl+TFTXV z0uuIm?sa$nQC{yiQ#nZ1YIon7KfzhUsELHd>&9=zTLsLcG(_`AoJTlk@xvCW8Vq9D;|f<#B41Jf?lEGi_`vY@ z7ELO7yRf6vmu6R6ONhmx94h!=bPySnFMfX;k=0q5REXZUp-6TxV>v_N`=yV%Qitb8 zFBUK@<})3lt}9gKdd}f|&TZ3vhJKWu-Zr;zpq?()B(vuE*&8usTV#2G)J9sr@)(vS z!0+=oB<8H44jMjhIPNTUqo?pR@-=AAK+OB-H*$Sw_2h9K}zPmeLx6MsHcj`|)C)fj}6G@b5;gK~Jq*`0}Tcx>)F9W2G98rre zc5H4KYE!3uH?7_7uPjP)c>EMhNi!$@9^GkC5Z;l3Mz!_ykB5(h>PF>J=b4Dhty6tb zq52zeXS(GdeS1A`f>gh7PNBJ#v1c`Z1pni*g6T)V&*Rpuw3x1M%-(P7w&P&rlIr62 zd&q1rN0ADS^I#Vk&VH+@BTb#H8&k`X4BuQFmnT;IW4hvypfyB?1RP}N|F4J_K9Bvl zwUh1xO7eXrjAI?=?GhB-0W1o{TXJxf%D7h|JTdED)I{Dl_ex1OPp8T{O%kWLIFMk&;fv8#O;iF^xn>lFZK}mE*>58AguWqIg zh^q&$=mWOtFH^F2pP@vOk1wDwuVkUP?2QVYDPbZ!5(QMDLbVcAYQFyV;B=4p3wsE$ z8x5ZP1a?c1_U`T@#+Ri$wK@+_%ItWh?>E@U^c@A4NABunRJ+16O$6*=BmG7{VA;dR zM-DiCpQ3?C=-Kv?F8AY3^xo4(j1{)g*I3baout)`LFDgD32dqSN__0I0vk2l%X1Xa z0cprZ_NbCYx=0;~Ct+UPRut>KWvBL<*_6B3w$;>9BwtD`NI~kN^>t2Z#!oN)}DlnJ(JwaAD^~t|50R?Vb;p*l~BV zKUdmd6x{KqagK->j@s-0!R#iPy}r6Eva%)V!n%X&5}~q52UP4bvI+o+Z=!}*91$uc zwGE5;$v2tQ*?Cf2EpVo(N(HuW&OG^H@Z~&eO#KSXIVhgJ4}YPeC2kj2HKZq&DjNU?qOBfQ(wav37@fY7e%9Jzw|^v8>16<_8ba|QM658#Y>wEWhh1u-GO zHLuQA_(0;DaHPkz^MWS4z&xW;6w8(NR2Gq~HDV1fAv*~F;N944hqXFGch7LOcR1jQ z@IaSHl$ojlNBg(SnS`Z!EThWqT%~>f3+$%1&`QJ$Q#0sq0=Ao&SKxbjfAbQH<}AQY z00UzyMF;^d6MVmu8o*iwlT2X$^r4;xP%Makrq{nMUc6l)hFHoVZdi5%9aj#OG^6jU zzYnB-(Cb^W$CW)YjF)Yj-izi!9Y>oX zSM~#Ne-1V-Y^kY>s_VYb|7d5PHQ4^V7dd9-1$lHdk;YfULY-iNR{@%DEwiwY5II)p zVBAkXJ%Cs~t+V*VE!!rKU+gOTQgcMr8SW0&lCsAH{!5%VB z{#wk(T-QV#z8OWJ+6Ca?Y8J<_i*cC^UwKR=WKB#}{eHv~UXFf-|+*#KJ-u#j!<5b9d zt)%`>0+Fu?lv{fd4Mv(*dZH<(=QWL6{0LV zU`d}^ZGO$XQu_iknCzjjJBl8Tc&*)KUT1yrmE7`6k6PklyoXK$VYsu2Oa`n9;E2@X zx2|Mb$X-w4F4*=^urPA_Jt1$D4H0|Tc@2AzP85t)00->h^Dq>H!(Rzq-mbgfd-1TU zez*D>hSgxh5uy-c+q3Uyd|q5)^=GifWIBXNboxt=VNOm@7<&QuhLq@jCvATnER6r8 z8rCH*G>PHreCBNvD0^qFotbvgkAXa-Ys%m7hQH6g_kA{cs(3`<AeYKueYJf?Wzwe}75_*MX z0D#^8o||)IP2Glei+2K_`-%Q&6V)QQ7eE#-qO|otlb`^HIwjHXkn6NF5*Rnlyn#UX z%T7)myE|{g-m56yI-JuIFa0;Vaj{F?cG6c`sdwk-V^VbOH zpd8n2@lopYb{1uVAr?;?TuwJGZj=URx@k zd3*7vK3hz^3C)v)PzpSnyk8fu7`3&7UYbRA^a+BkR`{}`_o*uGa#-rU$O#QHpdeS|8xQ&X|HeQ? zEHvrZu^A#z(^6SLjsd>bvg& zuWLTJ_ZUGKL6>!1Ki_W}jDb&2X<%bj1(cSuVIR#J3{AymtWE}YoQ{wYX-o>fq5nvs zUcnRPK%2ncyjD{Z+uH2$udrL9H^B0Ol z3cP$Du9?Tcky@81Fguo$>Lc0( z%iA$?`oCC<79950r?;Aq+xFpU(3&wgh8$!G54;THv}vTSVS5D(xBl0(Bg>kW#4xy1 zGDMGr??b5OoCw+-3J0MK2gceltzEPJV)y%3`)-#29U1Fm3IGlzMO`B&T}1*HhD{^W zvQ(Fx4dH#Z*4gc4#VbOoteW;U(JE@w-G$>AW&l|AkV_{6+@WQ~%-4&3UtFHg#ftjJ z2K80Pb8b);lz8>ogEID_v|)qYCyZWl1ntYi3U=AqF<`LE3U1v0C)4UP<~*;AN7+|! z;2wmCmx6g1EJeOJuGeiT3FLe^m_QHjG+sfLZ~^0#zxnhzp~csC)crEIN%}AK|7Dts zl?mf^ZNxtT@y29n%7%>q^(5oUGP+tY9lE!Zaf-6HaD&GOi;sM4fq6Hs7?QqQ&F>gv zs?_jio(oelsa#oHN$G?nZ}R^ZlAg2e>~HIMx<`>KdwFEPjwfZ{_A1;BY|0a%LLuIU?t^T3$6)J+iJH>`@mu+i^u)nU*Xpm^&R|3=Rhp?KrK@^ zbs1yyH=6RZjBpu5O0s(ug?r9@>rMV4l2|wht<)83;EH&o|4Pp%_3?mQUBm6`Iw4{+ zW~qbGXU)1FMCldm<~~5J!}a8{wJqHW=90z{1|SX zP;ccm?7=5-qKZ#?W4}iC-J=4-8wPEMsL3Pl8-=+qs_s$yDG|CBXR<;xA;i(P-U&>3 z-BuR`+ooNG$`ZkUhqU-x2Ii^p7CWpCYPqQc4y0}HWlcOlRcKw_`gaLIkUK+2-pu5% zn)UwV;=5gn$t3WBwJ>XBs#W|sd9J5rGOgf*soipJuc_YfhxU91s<@MEOc{s2&5}g^ z6U31Szm%tJ$QC^vt@3_zIyN@PFx741f8Bokdm;V`UhICVF6e!;t1?RSYe;vCTTN8f z+nHm1VqBrm3V0eejz0K(CaV|;sHrbTZu21gGKJ&ZJXxM@n!F0WS=B~EbPc3%-*}4>!I`XBuD_hU!*U=1mmjcRo zvF4B4NGwu}MV5+6`#O)6&jQXBiPXgZ$J19vMfHAdA3#7!l~O@ax>Gt8 zq?9gc5D=s#hK3OYq(oX8B&B!_io1P0jBZCx_wIiK%+=C>VsZ~p-FL|pvi1?vu&Ucb}iDsB1V4|}09Sm!m4E!X=0 z^gNci`!cY*jWDn1`m)0p6983Y0*T?O*k*W3(RchDiH4Gk*nJn60Hdb6jOMO2paD!{+$c`yqSL+2hS`uA?4Xmap4CsE8-fUHlEl+a|r`_6yy#( zmR;5>z(NaRBQ!PqB~@KAuik|r@5eum_b&RSEsFoL^uo^K`q*whGCh8+P1X%Aa{;<38LaiG`ZGUn<@ph%RJA?vcZ=rgYvoQ6&Jxli zY=5l&uk)B~$9cB+(16CTJ0rE7(XW^1-8Wt1hTOs{?h3gqpt);KKiZ-7szrYLngqgW z)T7yrT5TB5Li%)m{|)Mw*w{0wvMbLi=I#iagh}RGtGSpr&e$QI!qldEFY873$-Xou zFiu}BF(+pl#|KI$-i^C8nZeV(RP}L+bFCanlYg;1xq?QG%MifR$Mj7QYVvR`h>&!+ z%NfwGHdCYICqBQnCnFU(>MnnEaPBH(V{F9U(?rAgYZjmK9|cC5t|-49`D<3EwYrl? zch_gNqHkL*k49i)!u1{{LZK@QQV;Fxh-gI-Nsl|O&qdt!d4iz+oOY5eCEIrk8dktp ziEq^O8Lx8i=?vD*O|(0*E4%``*ZM<>@6*2BZ&EEqX`}$bS_m6MXB869oJ8GLD5;xd zZx|tCe&VVj_%%X69WM;IN`H$F|AGZVj}kOjQ{zeR2Xrw?QV%~G$4qqjAh4;gjDJiM zP(!ST)*B1pwtG`=^leTms8ueAe-D7MIo;Uf4{3I?Uks~9}aRoE=6mgVvmG6Ww zaoDpv@65Vud4taD@FH4GbVP`aU39py^NdfKb>2x;WBTdpPrbF>XWQ9sAsGMW8nmL1 zmP)g^)~4cDiqs<6)jwnh+H<2LCo$nU?Ud!e%?LqTgq@Q_ONB;wzmm3Ye50EEs#=D) z7ve^!%Z#@}mYT!dHm5kqfM#!@4ArASy=ZGuxy_eLSvySqnPbrSBA=fc>|dIa&TUY! zdE;Q(E49@9=Tvm`J}A@fLPE&FbgoCR6{$AYudGvkx8W`qGLTe!Zz9r+r<|>McJo!W zLX(!Nw7lNUQGw>4N2DyTvwEjA07fb-vU~t@Wxoynb2w!`6o6sC;<+()){f-@rnk9= zaLk8Pq*V{k>g3tX9b`LK{`BVm*o^Zsu&xY>9;)7GwuLwY{)2H_w8zr+2cbQ=?AlqT zI=}Ls**Up1;0W|#yu0P=>-9Jv^(cUpQ88)qKvnbP9N_9si?OWVVU?XD1X3&R_u)+% z=F2psX2RcBveQ9<#NeudXLOLC++|rYK4-SqKKvnMU~v-Euytu8`dr=dU5}FC9y^GC zghtd(#LpbZSu{b}fl+;d2VcudZLwAQJSNh01jEo4KVZeLFj3Gm>!h3}kFtX=ee`3S zfIgxqXx`4}Xau#lJSDc$p~;&Pu!3VSU_uZdjO(D-{kJkIUYFB+iIfu%I4 zrQYrsoM6omB%X2=g&A9q^BY<>rgH;-wA(=v@iq$dX1&{&l+3T2)i$imJDbY5z#TlI zJ`vgn^Eg=jO_Nk?x*U+EgR3VO4?MG`g6cPCCl?w!-x}&$p9D9>=LqFHlBE@qhc9nE z_Qu0BZ^6v3sP0l0ZSFQ1F1}_@=CFVDy!{3$F$Gb`RsZAl7|P@cGb&&48~k&(kk*&_ z-!}mnGrM9ui=)HKwtV4-o2_|L-e>23B?sr85Q;jYS+u++f^%JZi<4Cb4#4i680}q#t zul|@*bOzJ3)7kXs)1F6|Bj0W4zq3VjR_T1+tx1AbfAH7XMmHp6rb4UlWk9q-a{kyQFkdNMljOb2ifMzkQYdPSi>|f znS=%paqHjqpVr%mn)}SZvD>V)H59f;1FNCpsGDf8k0bw7^t&l(w#hFS^?NL70kUsf zm!Ht^XcXYq-)fDCl{vug8)xTN*JPNIKKkU`h1!YKcf6aIsS)y-zf(+7t13uaJ3*Yi z5pCDu|3>U?GlN!4*Jo$~=g2Xna1%UmU;F5-{eh7@i$-+OHfGDgg3Vm*Ycwz;Zy$QE zX;Hn_^|!Rbjc=yOJ20WQ8pR`(En-&bJLw~2@}H3amt`O38qfDGNbBVN%D_FdB;lsb zx1aClWmQjM4C@c_;y@CCdFtqY9|^ckyWg-ajd0a*Y3Ze6+low)`E+ee-=FB{W6uOp}&4c>8b2KxWUCaR(!Y;+M-^YFN{2g35%Py z#>0?5gB1YnkkPM$bu`GHLqQhY%ekZRL*3TAK3Pil_Z28`K(d9piLAIYJsb-;P6j=C zF^y=`xowz9uvzxj4K}Ae*I0M|EOw%nek&rrl6?To67nziQr;6)C!=GxW&5Kysfpwo zoTufI=9amb@qRBQI%dx|;d)0+SS1|yYg+p5)2~x!pkuZ9U+exWY>1(!X9#tiC(U}2 zcTsYIsqxoCDSrOxRMD6@FS4}+pNyi6Coxy7$vRbr^x>7aIG~G#27bK)LO`N)dSZxV z!EvGJ=zE?hU{Z38B^#l_8Z%41r>Mop+yTYkc}9&;_iS;_v;{)H>&n&Gp&lHNh)AV5 zS(Rr)d9|maEy4L17>-$fDsD4(;7(d2_fj3)Cc@0^A`IIY_MY|TFS3jOz!o*vr5GN5 zPI;tE|0Hc`a{DgK5?0{5iJMnK;O4KM6g4(OuQ30Fjd!@5L$m&ehv@wiJE?BH zC#mhs`GSE8L$2_k<@>K*dfnuYz;s!@%`F^P{M5*<_uf#@N+ok0=ISA#va8fQcAbZB zkd*gS@$X+;wVk}Wz?@y8bbl^Dv;|Obxw~kEq7@ba=s`90Y34+o-B(piAz9dCLm5he z8jDC&90-g$Sy7VH)bm9~vf9bk?&U_H>w$jgw|BsvuD?e!gqJ_Wguyy$6U?d7eK z6;b=T7FUY2qxJ0v=)>Ml!%-S2%R#6Gf_+Ood}8!+p>)<`Z?90jpm^lzh4G`n3~lup zy+RC?-Fw+6C6VD^RR#wcnq1@#ihhBQL5eiLfo#FKCHXO1w(VPJ7G_>#3(gZ{A%jXr zF!dfRRGtMPPrv4bdXGy6p(H63b?BXGjaNS3(R3_Q->Y`f^|cwSai8s`1%~+T0}__P zc+jHdIqQri3u1%z2@6?EUf9mt6s$MW;(9VTAYdh;@YrZSR{izGs=?%+PN z3{Aa~n7-)-8A`%c8~f;W%?r>KA=lOY`dYiUfO}Qe_P6Ue>bviiLk<=kTM*=yx+wd< zJq(CjEx}#Dr%c||f;|(F zcAhf?kf{~fKsXsaN;m^7DBxrz52*?TwRK{at~>rMjzI3%DY6);Go@xemMFxg$!U4a z9W=40zMg)v$QW;|zSGgHPRxAYwp-DG`#;d3YfT8t7Z-eHsvEv5j&l6LB)|%Ux?<&L9MbJHn_|(zm4&3O{oZmzX$u0xOz(K~x$Rf_=0IhA;B(Y_h?G{FnAb zvkE1XC>lKCP+9GqHN`#bQb)x6WN(5fqVQMh4?T`6dyG(qp*P7CSrj^MfOt*Q2fcBZQ`<#Tp%c7d*@rPmAtw1 zs6eAt4G2N5MMw*Y+lLd$_Z=iBF@z5p8$=R8()-n_SDwi$b}_C{#jKTPT@U6$s(4XR za}jQtd{N88i!xQw>(|#E6f40&+FsaN_a;|3{|t@@cgM15-)2ePX!>Ny_m(@Q)EB>4 zGPnl}Jv})Z;FZ85rd*MQfs>v!$enFkh|^6j#>l&B*QS}TZt-**M^t(JrP?gMWti^4 zSM+jC+O9uAP9>~9LYsjd>$&6X1*w6Pzuuz-_C`NsD0b@N?gTA74E~T%!DFV1XY>YV zNIquqg-L`EO6nUW(v!7_*E6IS^rfFNrtZwI*2$c-6=n7X5$z_3)FdAiIMxJDVMJee z9FIGEjSGZ0g=chtJp~=U^4OQ(*=&(hPZCJZTqh0`n06ZiVV zXnb_tGC_Y5cGXk2E(%poMD}?iVTJugJea3M>WkYZJJkbWh#-$@IWG?oB&0OI_-e8` zB7OO}yPqa{kB;g}YL8~oyLc*$Z5F@NfXlUGIOh}NW( zd*pn#zk?&h=BC%!*3dYlo3Or<7>9=|Nm)JaU;%g2HkY-P{diw3rMA~JCnt%!$*;Nz z4TSSM?2P#xwEVQZT(wq7edgEAWYlhSar7nMgkf=LV+tE2%nY#k?BDU}FT4Y_o82PC zbk^!xl7@N3ifMmI_KK*&s%-};$A(9bwTLh%_S)^yMV)LAu7{1WW|U)MWp!5`A6T@z z#NW4nXJGcAa;8lu$J2lr0uVQ}J^WK+KLrciXNfP96520l(IEEY6!WcD;X&TVlo1Mg zqM$7OEb5p3F5}vpZ#$Zu?T;tV>=e0X@g0N>mbuF(=ehQ|Wv#l%7^}n!rN0PydQ$I| z4L6%SLdeV-V8$0t4w^fRo}xJpZ*P zhf0($Vd%9#Y3@R^8dWv}>qkw|AM7$-(#&6|){9=Z=s3Nn-aKv^otRn2p8q8C{LO}U zrq+>~jYpmfkJ9}6tM+=c*aqP}BaU8?puf2AoQ<1K-DChP^{xqOf5Vz;Q!mWEd!yNE zcRAC1c2Mk0Q=<+W9`pX)$lrzSDao~&>63SQU#}m#K3EkcB+anaSMWMpmFE8|dI&LA zzviiBN~tgi>b9Y;EUT_Tp>OSxlm=RY6j@AW7P&2H51a3eZwWJd_ytK_g}d+99Brly znkuH6z1mWgiDkV@OWAALdpz2n?V=U5gBeQeaw!77iLq*OVCs0TfRu3~D#&S>nBNsw ztSy;07an^mf1WPB`L}vW!qhBuKJ7H=k@1qR!3@t|_6=gj=}umq#kuIxG2FJ`_9uQh z){W=l22e|V3GL0Th=bq!lau<1yIydxP*r}~c+fpb!k`$V4$wG=3dZw~ZNzo!_FBCk zPc+*+eOUn+_3X=Y!7gZ80`zS+s{7+IUFM#a2L`8{46{ND(qu(^ECwO`)j6KOi_91O zd`w9Xpa)OI(*Na7QJ%gkL0Sc2yjCtah~CV+E*Gxo*mg4Q@RgXKD_FMn3A1*0iSbR> zbKm_cJCLZHoSs@MCC-IryCRQm;`k5yk-_D~QMwY}Q%!UlDt8@k63d#H=v>Nx_=mHX zgO(hzDnfYXM_y;BHQ)H~@0174(Q<_14d=(B{Yk@@WhQYCvtSPqNFCOtB%23e!`Vd0 zI@^yQq~|qbmm@gUyxIEapGhmm$1F+o2I3;byj08j9dV5Te#PE~8+c*GiYeK?BM*yb zdNDtY9tIJM`<}IINA~s=qhvlHV}wcngk5NujRlyAFK=I^pWb1U)dg7JNDPQ2?>0`U zP)WY)O)FYg@*)7nk%9(g)PkaXUzt>#hCXyoxQ^24Oc5$S;%bwod9^C8dfP3NnKzH1 zoc&6e=h=5wY)Cyb8J)ALjDGPfyfMe~pYZ55*%?tr1c{M*Q&Lb@KL+Lq0)EzCoMmtLS0RHn3RjE}#@RdGjNC{x@1jDO z^zliV4O(Y3^48?^5r!{bylN_Hxj+RR@I!UkGVf_(!bvt``H{nyk5i-DZ|MX5b@OTdUF12j?Bf&B|gAgRZV$S;~fQ9 z)joL;nxvKq6}mfePkOp>t9UUM6q>W?P<)KL%c@p$bzv@8e|e&&{>QF4REf&gw&s%W(iJ|bPhjJ8vBNFa zr35W`=jY_-FY=ic{nPb%6;dpCv`~~$7n9hVEagG>Fn{W4fj2cR){jb5d+tNF7fpx zlN)MK_5&E9cx@#YJFrJVHtj)@ydo$2wHK%Z6iRODuiIhB@P3!zfm7zF6SB#&5S3bG zEY0^MK{m)h|3KQsq%7&Iqt6=oyZ3;Qfm#K1ok%`WuR0%f;ao-_-m1wmu7w;~wa~m* zg-F7JFmDl!{BJyCRfwX;<5OBFDdWwohN9)xes7x2tSH)q8xp3y9<2#Qv!{E_4&eHq zfj`jH3fmEfor?9T0Tie+&Uz98(AU8$0*K?^YT{ZTh66zrYvcqBH78Erf0Y^+Hf!_PmnyY|889a_IS&r^f=>E$5UFdL`shKa6 zL;KShRt!Igi%N?RUx=kX*3D81 zJKch4lm~*C-Mq!T#K@M{M-tU`&~K5zZ?6_j_p;pXez5>xhN;Bc!w(m`0tk6=pa8cCbF*cKZ=|eJdgh=>o(> zT0?YO?~vEt*{B`oP1xHOvN8P+*Zd8IuBVtU>1^L$aDWBJI)SSesIH~={G|NmO!x`B z)I0Y%h8;}dvFrFG+NkHmw7(y5<^CK+FPohwq?fH(`ilYsfV>XpK&cRjX)dqv|G}BJ zyR{9KIHI4&30rDCc~&{t_(@#+%&U5|Flx!y)Md+p;Y8oxH{xL@mR4@%7>s0mje9h@ zBfk*O{&}^^?|WU3vASn%OkF`)z_D2V79;Lte0u9EB4ih<$-{9?kxSpShy11bAc|9# zD+lXJmn)Ue;?W=Hhxwh@7dS4=7J;Z#&q}yQF4LZ(nVXX6<7Zu%cG!AqCN&?3N}R?^ z@Yi-4(9}oeaPy-qAV>>z+q+#{Tw;-6quX((6wlktyA0(eJ+PhVS+=9{!O#@9x#^i` z+23Jq+KODuR{9WF#VxboXcP2gJj6!bg@M2)Y)tHJBXXYaHUx#2Ce1Vh7$v~V&uNiYVEcD+-So!Ta;K;?QXs>^d9?9k6Sr0{w zt!}|X-h8Mp$jnXY({0qlu&?i@J6aS@VR(P1MDmJinm%hh>myhm2qL@XvOD~Fdi-N@ zt46gU!e!ZZ$+Fc(nZ(ZD78DnyAk(edFymw67x)wav5XQe7UfKf?Wy_kRc2IBYGi7h zu)vM(Zo8r>YDr1kc)8Z7DZuT>^*rg`49$ZV)K+1C7h(W(NOSNTZ?B^Ol!g1IHxCyooqa}T!{;Ac)1euIXC1s`D=y!X0uPH9g{OE z67KfQB+KH7Y|KROrdm~Yb;VDft)XofdGxeXX|1z~O}*lqHBeLN+t2{R?6FPF(fOnW zn&RdDp(CkI{;Q~J{g?Qyq1Hb8()58tI384;-H_L*5~rhATekB>-oVIOq4@g1Wko#k zmFu;OAgB-G{q!l`T7YFfVI(Oor_bCmuU9g?;F>*dO3|~Zr?1u$I~)HM;i6=k5XWuH zZlGjCavH5*V*5UMEf^3ZtcxZ9tVp=+WwVU_0|-urtmpRhxKo=|2*Blazt6ZZD_P>e zvHt$X@Q~=&Q5J4iOcG(;Z*?r&H+5YBRytRx-?Kg= zlRk!gEJll~$w#3bzSRI8FQ{-z-qGO)n?GgUkhC*R>DY${pBt_p^M7?<@uW!&^m~QJ zm`N)6eAF760#_Dx{t>dg7#i-2z#f9u8n4JfMJ;Dt z&ra&nAxt?cru{O6#%GVTCV=M6XMzi)Q0T+{d$*e6_`kR#8Avj|v=g&`j7i`*#e*@6 z34+ynLdAO*SL&l6_OgK*SRK5)b<_>)T&^^2Bo$iU*FV*U9@ZRx%CIU+y)7x!)_m%f z|59Ndcjk4akNP)O%-AJW+wtMtf{o1FJGBp=tp0aGpsxZxM1mgO0UCAe18^Q7M*Jp1qu1sbPwoRx12A2_A#0=| zm6z)P$P9HXclBp~GKismHXGx#2WGgTd7GP>^tW%4DDowD^Lg?bb5=y@{yyKn2t<*< z9(VB97?CGpTZZF#eX>TjAzKSrK;yMUcfHJ zny-LccJzF7pa&I`OC$5sdNbd4kmsD7RoO~@;p;tQ3Q#Vi`pj27OTv6ch7Hc5eTlF8 zXl=_Bw|)_P1jlyqw#+h)fz^%NjS`|>-ouKeVN~~dL`S>~+gNF?dk2)8Y`WPUiBut~ zlF!)`4?tE?7Bew$zy%-TvA`WCbc$`*m3wQ4BOFV}lmaZJ75TtJ3r;_LaEA^=I6423apK4C-5#j{coNnUB8;xNFkacoS zQZ8s1?$vFtV+QxHr`yA3THgiKB{T{<@{cv&wQHWzCo}r!#z6fdwwd=|wSyx-B|QFb zm9$ z<|LL&RmDQKt4}Sc)9tIo=?EMj>bPF0G5!H;j(gY!tGh>~eM?IL`64BilLKgNY5xC7 zwXK5M5!~8^>yZ#VNcsJ>>f|RYrs-4Vc~eD&nK}d-GAY^ zb=*{Pl7Y1Zs%CFTtUAF@fxh$p^q2@$iHOIF|$`W#NUA8c` zl1=J!KTK`zcNI#l%u1fp>Fm%6lYdZ>WeT5ji}+94{~xRsq~uN>xW$|v7^hHTz^m7E z9_LB4vBa{mm$6R`{WQA+*&|u$%Aj$DeE@<;RiMGEZwxS)|zKi zz|wO8Jumo^Ysm~z=0M1}rw(}?JEgx-E?Z>w z41xPJZn_u56_-Yr6q%!H47`WfpZS005;^2XSY>+MnoL{&Sw8^9d4hjqKtTw1N^zZ~ z1ECRG#9tpwcF2-@fjB5E^`pTXN6sT|S3vBOpw zO9r?~mkv~=CeOtKA@)H}7Z!;AO7G9CXcZ`aGXLqWqK2R{g!1fb?!Z^_oS(Xw-}0s0 z0vQ2?@IB|As~Q1HC{U9yx$nmPQSw|(1QyBx-#2?c=LZp}7p|V(Ik6hjMqE8HLfYtW zCM@fQ6jB8IGP`XnDr&>E%`5GK-{jUQ>7MqXeJr{H{5MjbmtlC_?K=q?oZAw}0kGzY zjSQpwsw~Q*ho+LIV_0Sc3lYs|t~Fa^Zx{xh!F~<2vx#} zN?_bCYFcQ(Z>Kkl?xR>#OhyPPCU9f}MOde{`h0Y)bF4XEAl>TFuL#wZYa8|Anx(0g zQoR;kIeC4Rv%zCIRWU%1#ut3N;An7moq_(1S6eX8R5;ZBbIjCL-)vvjv^LoMwOx^& z(qAVJQ*2ku2ebW&T|ST{7y5l?w(_U~fXaP_=+YwN0^b3V*#oW)P}k&KBMR(yzP%?# zh3Cet$2W(i|75iE2Gt}RLEYx)JMVr&HYfFi-};J+So^D0W3EYsz(b4lexmn3mssPU z%|elL%lw>6A}i#g!s$RWz7ymSKGAfvCFyXxa7V9fO8F5=|LrPdG+#7+n=$+T@>kFI zSgOo79g7Ct5FEX6rnr;W=?Cs!1r5?UJSSWh=$n;noRum|(YI!aQpjdLi%^k}1rT!B zl?tmh%j17&g_^5p@dTWIS~k$5n0yha-){+@AchDC{dI=h`ROSYM}xB7*$*{@k3AS4 z!=qruG;5=A?U5Ls`JYZUN)Ng}VpG*7?n&02^G3@hwBUh`u014c%{VI_tdnHPx|IR2 zo2$*I{cffGN)c??QooE0dtF<812N7xqAOgFIDM;$KTsfhTq8r(_v|$wNrO*UAYXD4 zau=d2N3>W2T9~#p025mMUFKg|=lpXV6RL1=)uDpar-@jCqv!=8E(Y2LzP#Vz#JC`2b(ifx`FJ4-4P$y&}#Dfw6)Z^gxqwb-|= zK60D#md9-C_q+&*_wK5Ko7>i}n_qW3ww_clwmKP&1ZRa4#YrOQM@9Za5sMPASlvz} zu;*CNxzi`MtY#0nrY#_Y>ZUpa*g+B!)ccgWN9E7n5>WtVa-`PYl6mjcD~z<*VP3i= z=7Rv1e-62sTVq%znN4*ZNb%Q{3*<&Ksrh|7rxLPM5}68jLAP%X9P|lvXsw9LW4%&70ortsy46 zH0KZym)Ma^427nT$lM@OJ$rOc7ADTaoq$Z}FMHziE{o7>&_1u3!Q0>AS7{!Nf1=9xWUqWe`(}!De$g zUjNng;i)0hP_;4#;LDKO*(}X@Fn$lJ{t@2&->L=v7dETxe~PXoxa%-|A8R(*Qh$ef z4v){M`6LxdgRX4x1O4$VUADso=vScFxsD_m70lfV&?HA)KZzf^iW|`sG>zBjz4LC= z7(*TxI4;$w$%*oOm{)H64RJ;lOWeg#izHF-0nrKOEP94PZyLX!Xoqxg%Y$v;!`!bY zRd-sbClq`)E-jM3ASNW z7k{#(AUb;{%0p5E79+6Ymyk`^Y<(y;SAi1T&0a9AXs6u6qIuAq3bHo+;beTe+fS-q zHXrm?A#&c!{2d^^CU*~ppbvf;Pe00t0$X!7G#cx)m5sv-y(u>GKOqIz6{+_-_guV5 z(wm`4X)*(*3RLW%aJ2I;8C|;p*X1u*PsF>CbsyYGL$`{vjrgvGNhe*hC@sksoM38u z78s-!Ln3~KqDz-+7JN4YP=UmAxA(Pp~4Hq6?ou^fIA0rpTh@)E`Ob?l4o{S zI%cyM4W^}2uw8ll_@lM6-(@;nSKBddZ+FqWzovZRcl)A`_x1Z%UFE&H6zDS;5OvdD=hqFBeHVb&BUSU`MCo;%}-l%&)u1SX>qsMbY0L^pZweos5 z*+Z1_Zv-M@1(5dI;I3BM{M4z#dwgpzz()t32_5|VDOE@`{_+mo{G-?y!WAFZbBC-7H4OBIfRTz~GIkT-s5 zojDh{QEWH9<6eclX#Kc9%a75Wahz9)lb@pJaJ%b@Xjxkp0ucB4*jb3|siu>c)1I7Y@YzU%o zSIYXA2oy4OI4jEb2{K?``uEggDQ*x-`>jh9|);uEwpMv;Q|>@8}RFjcBhie z!cbdEU1t#_h%N~!5ks2;Rg3u3KS3L$1wR_bU@u3yGcCu=GumICYDoh`LtVBob>X){i$N&$a=K)`*Da06cS~NRYT+TLM z+<6;`N&4`Bf%gjj@5luoWJZxG(+Io=Mb}eS7kG;fV$fo3{kpfAc`r;iT~Jzdw? zf*Y}^SWG&pn8`sg@t&4G-QSU>2H8{wt4+c%(M^`(mtH7Rz(A>TH@(T^*Q&I+y)@5S z&k|8Smaj1(0VZ#cZX0LFz{-2p!Pp66o>Em0_u)gZ~V-{4@BbC(TrAtP5NGNfC} zpW#2qVhvM$QLW$GMaX2qzI&o4q}p_4n)(s{SVfAk53Lcv2@!3tf0cZ;xD=m1H>Ne9 zn}>62>(r}=V%Wxcs5w}Nsb)Ci2!DlkiP^`Mq9+|(I6fqzrzeT`__zTN9`s47l_^Pb z`=qOZ{eO5dJys{l-99iN#@WvfZG0=cr~>vI49>ci5Y)~Ii)++@J*q6csBGSkUgEX9 z4)kn3HqZB5PPQ;w&|1aP0T3i&R(O?JO8+$s+Z6|& zyigCDw1!HC=I;%mI3<;4=-Ylrl|ijAU1^9j^W!cLS;Mv9TZP9Z;B&6jGzo^W=vz8V z1k@6wUYYiE<`k(uCo->&jN|XX^(pPfvT*OhtNSsB{7E1Snzk1?W)14YNr$`@ANf{0l`2%>lYC33yK*@8Z+$B}HDZ+F$x6 zoRsEU%0JkI?VVg3;(a5?@wF4*Fa4u?o5A{|R&YKPlAiZxDtew1A=^b}KX*fF1>eOvnM- zII6FIH3(nOO<(}q`t&pah{68&0@6;|txh+?SYh5Vtyi9rlt69N;=Sp;YeZ{{Mrb7T zbw+gZ>>z1LsVlyaX55x2bS^e{gxkExVeN8fo4f2q67iEnW9N&7B1SaUH3DD$ucLQh zh6T3+gI@KX@i0sjVFS&clj~wNb1yNIHD1giB{d87g z5pwz)jKU>ZF17%TJeKDvum#evi=Vz@A7Zx}H9$7dolf}Snp;!JTJSSep!&IM_TFmq zo1OLR?A@pC3;9r3i9#MaOTKA~Q@WSVitjio>KNVkH%eMBVQr*?oG!>eQuQv}3E}fe zOzdVC<1lP~2aU3}vKLP*69Ri8C-qYOsdA?47?vPK?>htf-osZ(byL-%XrN7#M-Dh? zw}J3mqNNZN`Nzo>YY{h4pZ#h&V^*~833ijL-cX*J#v|#v4B;0){W1u_!UlCw8d#1# zJiJRPf%BS9)WT~xwy&nu_%**%vD7zA>7O>&PLuf>osv%@xL!)ei9Z@(Ztlxzdr^AM z-_Z1zMkAPDpKarL<$k#5-52w(z!!ptjOP|)u@ofXKLYmC52Xc??-u#t%wnYvR-XMyx8dm7SA(aYbs0)J_7+rDoO7H4cfEeUiB5#>pU5W6)=c-l^;8N5if^(tT*e>1?A<#y+Iju;YOK zVxbh6kR8lSp~-_=f(?fVdiL|R#vJF{qbQbE@r31f;O^m0FR|}VNFlxdR^CB#-<`mv zLW~()Ej2N87PkI6vS}TZ3P!UpK76@c_I9DIhr{7du1?a+J!6i~g{KmElWQSscxdpG z_WJGo|C~LE*fONIkE7P^1L-5xU^$15*Vu)sA8`XIb z2aO9FrwH3fOf*{Rz%Nib~<{Mwe*R zR{Xa^8NWee&P$j-^{;#?V{{Vjk1|;lbo&RtGgyv(r#_r;W>ESi824F@knW+q@atP4 z2CywRQ|be8&(Ds6La*kF0|$|%@>3S_ z&srZS=kA|*0uHiEyp46i#E-qlJKN}!_w}mL9;L{rqopX8V*-{lrAHk@Udj6j`E6oA zUuJdcOZ;RLeZgDRXU0~ei&h?(vVeGVCOcoh^!8FRf9+0^)5T0hfFPfjG zWXePnG6*Ii=y{>=i=u*?J|*I$nWPQw<07>rM(NX`Nt)jzZK9@&WAG^Ted7GeqF|4hFj_+1Vlli9?C5`Ld@nUHSwcbG&_x4 z*XEkS*v0%TlW&*Q(a~+Y+82TfmqsRsm2Ova_Q`)r@O$Rzbv*WFTGJ)#rY9C4_dhc{ zDgP|T?Iw)M2+ZJ3ZT{v^2*X~!3CSh<; z?k~osYtE*}dZACA$Q6gSnN6ZYLg}@)u?vaRsoHZ#2QQ|(&?sZWa;*w>O>E!rR&U_n zGj{8hsT71=cvJed$yiXf-36eI0w7B2L)f>!T$m8f>Pz3+BsI(mvsk9xe%8fjpax5S z7@tz75goD}{Ym=if`6vZt~Nh`(vBzfC1~Nj|E~cK-|7#K8vZ`)^7PPJ^2}%bUoUW!L(1_p9{#*Z7WB=LXkn{Q{-0?i=?7j3D0B1R*$p#x z84lU{?KPk7dVMOh#gk00lnp$satDD`6F7720VZUtQV&J}$B&AdN!H?-V?RlGIS9j_ zgr0XD{1HTVdV_{(_kGy(N3cIC;jQWWi=8T0xp*Q%+H1S36~bCh`FB8lWAG@PPAD!iV9MyRE&PgkN)I^B68Q zI4ZggfT;aUM_-C^Yk(}+$>cp8pNh4Kd!`B^SwZS^I%-N-v*^iqW1R5@TTDoFcebyR zY}|6<=Kb-5D=*uog>_^F_c+8p=@r7+G_)TL$6E$~3_2O$IOA>RqcA9}%DC5?&pO(Z zTyynNP<&%&Wk$Q^V(@aqvUKZmsl~FjKS}xHeI3?{^p+kH875WBB~puK7eE6DIFQz! z4y_ov1GwNWR69AlP{UQ-k)ezGef9XwTU6}X;N%%J1y(D|8ODbj}o0-qBe zIKX#iZQE64RVHUsJ$4**A8EI+qZl}X)5E08LYE{b-;GEOlpWuQwy}|%4kr7Qe!urG z8(jd;N=ctC7>o1J*JY2+6GZ@l{v`Imlt(m`ZndVN&F! z$hiyqO>j`XIms7AA#X@-SN4!Fr^Il3V9{nY3Uld)gApw=9Q0D{${}a_%m(2 zF3rYX$10-qv%MgVAA1U4V#W37UOb&~w}_8kqM0*Si2&B^_k)?Amuf7`K+o-MJIuPf z=chXs{Q%m3;gKhMa!UN~_A~H@?n^oo8hud{>P!7u866)0jgMqBC+Gma^ULmO1qFwU$=u!LE4Z8|e=L=;3!FE1S&A z6I;>f1MX|HuzV@&K?5ip(=QcfBr-}w{q1?YSrx`cfn+0YpWB1(YqyQx!K6-hSENp1 zoK`|f78U)EyP1S-CdO_e5o4xQ`uz?qIW4_d=*s}?RYL~n%so8KxS|bT%3j$vn8mBS zp{W7##KA8nXwa^O`;F=s)nCr*A1{bqw|oB1Z&q|N95in2n-3;Y-J5z0%)Y_C;YI{Z zP1DnXrQV=XJR|ijy1jHAi}mrv)iRwV(PVstS*)YxhV%#eA`+cvR_=li?)hYC#$+RK zIy7zZE@m>MtF)=30Zock-Z1H+T)SP&LhePa_&TK zj9iBW6WfQE4CHYUrWF5p70jkrau0f>dg*Q0$=2TIlYeKgF|`%m8Km(I6|7xH zPn0@V5>uWkeYjXtu@aL+3g(HV|>y1 zs7JoI{L%MN84i?t$`O-AqKoUnTKTfd+PaTV(cPCRFDHePg*&hep3iDvu}DJ!Lvl|) zim>}Wh!~~OwSJFaTU)grmXB|?C-49qb*?y-8^r1AmdWn*yl=|4&20=r1wDN}xOiXE zO|~ch-74M_trh(hQa)(edKx06@uDZ*B^glp1lHz3P8x!J^6^vhJKOsaWF=k8nT>P? zb@rL>DF`{2lFv~7;wV!sc+|X&qnJzR_--_=f~^QL?|tPmUczFESWW&5{G4CDgA7(@ zx+2t(hx9`MVN=kAS7_ljep-<&16s1Hh6d?f6*)M6uIs<>I~u!7^DRoWJJ;%$OG_b9mMm(VofRasE$E#Iy#x;+cO}Bwb`& z7189A4~z%~TOrDWDeJTGe8tqaVPzTwgkB@vTiKFUbRTLCm*O6riu5p}m1}Wm%g9jn zPeYh5Xoc!Z*sZ(+KTEy($_iN*7D@3iJRl_L97q*&a7Mk+U<6Gq@Z63pr(Z+dldv$m4{D>J?9NtS)Nk~1M!=tAAv&J}^DhnI5?r<8Zr0&t!q%|3t<^nkeS~V-x~!e7 zeYR971P(v-(K{n+^FU1{ZC1KP zSI<}vm##I(GV{bJS~2r4`+cqPomo@>H){2k_s9UsrQ6F(D0_!YBd}v9KKx60Jh**K zOT}J;+U85@k4&!|xS^D$X{gyE2!PeSi}@@{ZQ}gpRr?dG%iWIk=(}I4VuZiSiUia& z2DA~6OLK^Iwr@uU;Zl5adYEuFP99_G@);F0ZmGCk-#*fXA)#g#BLsqsq7x(KC_y-L zl04*;YfF_+ISB*xWgz2TY4L+X>?%X|2>n3iotVb)KVlHz))I1S_Q zLxYs1mvG>52QN-#sG%l|a0gu|22A}Kmy$75uQ`=5uiHc!Vt7+}VxVQeqbW@bnJ+sP5o*b0Bqq{9EWDmt! z-{P})u=Vl=PB}LAG>Qk^^Y$B)$3$6Z-T_+q-ZtkBt;nxFl|___cTF-ns)Whh%H8xwqh<$P(|$S zGF&k%7*f-kZwgb`@U?E`8r?O~)U~SFeRJn0|I0GApM`jD-tdMJLh9X{K0N?gOMQ8h zgpcHuN`OHsqx72CYn3#eg^vUJWA;__+WMjx1R)QzYBp;u^#i&Jh} zl9g^+&a~n1wGgxGN(k^?GiGPnkW<_SAFpj>j7ddB^qWiumk0tb#!#2(NNq^9YnonG zA7KtJAk_IH<)q>BN^WDy9!|cx@Rv6BfdcVKLoE+wWpMFT*%c#e=8|TnR zP#3l9Spe60dPO<8xz{*;qLUs!=h_qc%N3FAv-PWZO)TiiU;BBP8VHc!3%FPnh(Rte zS%mM|jJ!dErC~$t1UN4B+239;@*YZE)M6H{XlTz;6+d#`3VotesR9{&D-us9{@yzl zV=D+V#S%#E<#-9TmRK-IHT=VbOAhW-)u5-^$WOLG*jjmV?VsYXFYPFP8ql(EC^j7X z=8LwMeHd(wMG{EX1H^Y)FtW&qTo>fA(%J*T`6c%D$!w@O+wKYbOLxNDG0L2j)ID-) ze)rq)W^Moz)u^ml#C2^1BHqJfMs}+87JQB(O+_OPB;mK@dV=B-)Oyy5bAFn}DD&yB zb=oTax<};6ZGTRw4KBw_we^Crdxrm;DnJ(Q19?H{!Qbbo0BW3WHxce0zLxkh|5O^* zD0@4B0$I0*H_Q#QV&%uZ(s69kMh9eU#R+|}yL7aDnil4IKTU6vhZTA8;>cO1+>UhW z#|{1~uUv9_66m2cL)N5$ND3f?b8c16bS$;V$A|Vsg=jZowdNT-unN0orKf8Qe3J4c z-YsgS(iadJWYqpa*vG$sqGxWkajr`eY~bkA1BlAS3(2J04fOe7Q5~Q4zkQ!mv)N7o zL6ghBi$0Ah7&7U0BZ4cb9BKHZVQ_s?@q$UuQ2u#p*eAJ(d!ipNW}31jtg<4~JYZ9# zAg^%gmEHBZ7}yf3dB+EirrE($*D1`r7ci-_3 z9^Iwl<%iV}%{6P@9?LN|KYe$9CTwsiL6GuAezNf|Dm3V2_fCCcyvNfZ3d9sH*8BGZ zQxt0E9rvL|T{BmsHX86ixUJ~*_}IDgi(Ab|T*yf&+&i?vLA`II&7@lQ;`h$tCt|Bz zDEo&CNp+{#4I79jda;LC?Xr}5D63`oG{Fqmd)o#fh{2yiJ(=cku5y3`U)O)B&)W4i zCE5yVXmp#{czCeL5^rU@-sdKd4DG~@@$%jgOaBLgXbouJW2+5l-Pbce9D8lC{f2pU z)|Bhoe4~D_%$t^9&f8DY8);%|4Fd&qA;Hnl*I3q+1GJj;&P>N|L0@$W$EO@#^}B-n zpbBW5p`gRZ5~I~0F9Rq>QduP=tIT4aX(HY{VzVxsENYlFgmg7_AP_Q|TA6j|96Ge{!$csZgB|&pM#@cJXnv!M=jU~Fi(R4;XLCO=9h(l;X62Y z;K|KYhW>D;)N6W+*5FW7Kn`*e!HxlBEij2Gqr$VFJ>x-F%Y)}+;tF)acCIGOYCZI= z6mMJ%{b>_I4GV1#CXLFIAUF0c>WmFc=C(lgNIK7VMZ$25e|zq4*l9tKzZgglON#6g zOA@IvK$ec4ioHRcW^u6jPhe@`Kdig37_Z^vzXA7Nr>^#7#>%3h=4DE#njJpVWh_n6g%j#x=mpLA9t7 zcawu4qot)w9>00iO?K_VGjl#Q@0kRv-}pe;5s!9|!m)*b>MJTd5mQ#Kbko>-Y~ZB3 z8xzvZ{fO4~OroFY-;p+W6_J|vnzLtjnF5e!dmVIFeWsj(3DAIzDZ!bj?CZ3?oxmrr zGxhK{{{j{qh~mHmj$XDQj7ejoHYH*#!!Mp;_j_=b4S(#GRNRnK2`R zP5n3HH>!1yYj4^x=KJ2B5}lPiogKU6tPh_A%kb;rM!u$Q4oIMv5^3rPCHUL$`Spr_ zWewx2-@JrqBM-^LhRVxi`zdlK6IU*D5pSo#Cu8Y`Q{CNN+eAnx+I^VNV zrJru-l_dt@r)a;Okov5@AvK_@%@d*m~n<4 z($Z36b3Kz6-4v}NEJ1)exYV;7q-DhdHBOCAqzGcQVTRbNo5GR&=4H2X(aZGfEj#*C zdY(*MyxXX?i?Xy9hgvOA^Fj<-Fb7pCXHVY#LfJ>{sgJ_RF39>Tvat|O%H#ZNhOVTt zPonTN+A%EpF*fv$tt6(9{%)xyOUid^x49{_qjIslUQw^V55ZjIu*fx9$9y=WW?9sX zRW9O6VQ0SB#S^L@Wk-v@z348}K>SrPV$t+|2SFi_rVCLh__Odh+OeO$$iA z6@+u0!+L$4NPtLkw~eqrkQ|K1={2um?;oo%O-c5C z(D~o4q8;*R_Lfb`){^o38$s!TTxEwjHBisMSQ3iI>X;Jaqwx>hK)7EV)1=Klr`)Wz zzw~{OXP9(-!A;@a8wg3-8X8_V*a%z5G1d(0fB)>O^G$2YLF!3aAtk0$a5=}fKdc%I zzv~OaWC=%KTrA|Xg8tHY9%9ize#*A1)9oK*QU9Bu4#s<{c~zjN8w*cxO+*$Cyc6^T za697Iu{Sy5Hmx8USOM?j_8gqpjU!}+sH1EDY*kW|g#b z?m@JgGk>!DRloV04c9G5^lkva%(x~aXmw9DpmGAZ9a{y&1uj~D#6tO3#(-}t>84a? z_Sr$_q75C{Q!P7BhO_$>SC;ysmvcq|7Fx9?*B@-0!Q&OAFqFG7)&2rV@9_#u@>ZKu zvDE1Md#pD$iCSda$UcwrCrvUeL4v$4&0{aj%#AEzgX}?%(+~^ zEjmOI8T+HpSpGwU$X6A+Q)eM(k8Ou)B{X!TvTP>Gyuupp;fv6xvO3Wb5+k1vw@%O# zhpx`vU`{Yq@dInDp+h8!5up~Fmd6x zf2eQTB$brg{o11PW3ePvhITNf zqoxY9F-?vDZPY@CT0&gibruZ8E92%EDzuf+cbq!P^HxzQ)CyyZnQ|n(g=49Hv~Lim z#J1J7eS5>q7EEMJhvk>vo)nfw@Q(X9Z2>MbUhaS`8IMyxkDJ2xpTQQn zh~~4AMm!?Mm(i~-&e>=iA7Av_oD)jpFaFZ-OLd3?`K6bd6%{8_;lft`28|=ceuCX>;|23H$4mI_s3n;KELuf2RXpPmW;$S756zq@xu}KK*c}N=OI>+BN%XE17pat*O@%t z12v&P@~qvaEM#Y=<9uO!hi{=3r8dEafA9BG2OT1>oRmg0CnyW z$|RrU1f{67l$N=^F?puQwV0+jtU5Mw6j4B#ZENeUQ~c7NGSy7i#NB0@wH0P!7yaw4 z`@hnIV@97oR5d#Y_;%T_eQCF(M7<)=VM6yFDEZfaprco{m8<%W<(lst2CvOu1-%MU zL<#lM+tkjLZLlYS%SBD49h{)mU-!0VCV={u#kpf{g%7kYHEk>~d$N=7!yxeaaGx;a znGBN-b`Uz(MusesO=4Qeg3MEwUJ)lwA@a?2degfKq$kA^|}U0D8S9uBXOuDw3h(?Y2MZdm*%*k zF1}HG^z_chXQ+}GS|FZW)04_0Pdn3C3Tx;UxppM!NfcXq2?c-O4or4j;beMoQ?g0a za7#TPx;@`Fm%pf@g+dfeA!oCkk+!6D(U$h2-lhh*F6d{7M_AhD1l`mm&N@3-h(VR9 z=)sy8j?Qynj7>B*>j5!X+R#0K^COz1FirMSko3F9Fo-GtC1{Oqi3g(gRIV(GB)>Bm z(JLIJ)<{wFpNcpwv!iB{sD2gBh3$1UtxwN4wQZ4O>(!zpTKQIyjJ04K6+R_9sqavj zRu@@4QnuG>M2yI?n=u-vpgA1m`v}P#+?fY@Y|Z;Nmh_bd%VWgr+P8qBzT6h}1Zh1! z9!|BcVNxA^I)%#7EV zH8ufY=uSJ6z`2#jI<&OBE)W3CL={2Z}(uS}%$MO1A&+p1j{>Oux?97!m*00*Go^Kv(F1 z!R$1&sgu8*xBf_TXAQkYmed>pg3fN6t?8TEdYXZ7_R{vB&)O;KP)(2lQO%|fh|cGF zsHa6;rNwL&EB}27HWpQXv7?PS4&Y2W&I*!tAMzcZQcjIcFlZBG zypFVm6c19#Q5^U6&mM2~6$VIzC)4PO^EP2u(=>Hhm4|6*vo~E(+aot#KhtOD_j6QT ze?o&atB6a4>^iq*a?Wef6q9%>RnUT)+2kD2oKcN(zDlKGDJux!JW*6RD@=WNi?kGXg zvBi4z?&LW|p1x5J@m{+VJ?w3J3uMI9YsPiBczysijJa|#+82Pm#MnE1xM>StL)JNH z?pXXjQg3IjGzJtkU3lMye7%ryxn)EZuenHg-N4$cozd@V=JF_npF4Rp&Eont=D#h#-Y(0~#W zla&n*ZkoSkkMgt0UfAY+778*RV>FD^jJ^@@_#3=)?C@~!sTZ6(FAaLNRpIXaGQasZ z`$Q0C@Y65&b%j}|o*5Pkb4}c^REC-%L5(!u3wV3R7dFp80S(j_6Run6$r4e6^gSdexSyH6g z)9VBz{Qgi>j&ZfWFvo1M(_2_lJtJnAGkK!1%!1iTGLtg0zHs(?FH4C=ExApRI%j9` z&?5Std;dfVCJ^imTBS#UlY~`{uD*`@XOT({QqkC@@1#MX*0ajngm~O*8V+P9ZcZfF zP~DJQ4`Qnh$9TZQiIdnX(=Dss>_F#H@Kd1p#+)p&C=X#});Q+H`JwMBr6>UMAf9Gk z>TU_0XEXo2))87dfxrpQT*KUxcUq$=m2+oyR>9x=YL#|d8t`6Ch(4ThvHZJkw*#7V z*?FjD1}rPI#5CglH)i|s(!C571xlkoPZab^1O(zf+$I5DE}0 zjPUil?A#iXh^CC(>e#{OnYlp^pT=~($@-*kg0K)Z0LsYQkf&_z1gkn8Z1il7Tj8Rw zc*3yMp5vO=H4l-NemQKX+jrT>zBs{G-}+WYp~}2p6hzlM>o1p7?O!VrZEdAO6C6`c z&*sW*rrO%Iu+$-bD<&VEUj0lyKB{x=XiqoX9&N)xP>1Q7@nHG)%&xR~$C=s;O4DGg+KBk_AmC1hou{CJ}sFb z1|iW8J>48N6zP+Z#${pa?Ba%ATF$vzI8LQHhHpHDsy^1!uX-t&z-4E`Rf~Iv90W63 zD~LZn9_i*gcJiS8J@8c=i^<|?we|+_t$y`OZ}qw)Rb79O^j;%w;EvdPwiI@dRt?() zw;*V!+9LDamwBKG>uzi%2gf>mz^ha%&Vw}9w86jEQO|V&#O0;;MPy&DU?bV0gWQL! zM2k3s9eHi$f$!zQlI^FLDr9RLU%MVGJ&@$q`ax)gL54yI4Q8i;FpS{|^mkYUjVb@_ zp-Z&st7IxrEY3=F_oyL?yAyOMN(tzZqs0g>{yTS#nrTI5Qcb{3H~F^D)@-6vz^1Bo zjVc66pEQt`SLzLa_B@DRJ>dmIM`FXL;ysgjmwP%C_BBzvw@9nK ztfMObK$Cn6Cru)>V&tW%5D5^!TvA?(P-k55o83CS?8kNXdh}mGJQN%&X4yu!TZH^- z-xCH#W1z7$@Tp^26*Ya_$<1z+#^l>mb%#e_te|ap@UbO7_Z-%qwidoUiA4v zh}cq+{(P*LYYOaxhPZk-KMAOgR)0YdyqKM~tn?421Y4!Sa*Zxc%o4fPVpjGZ^l$3+M6Rm2V8@7 zBQqP6WS5NuVg{jll_?EM=HOJn%(KW!#cC}%NBZ9Q;(ZS8ZDgrF|LwjPBDSj*XIOI% zD}L;^U$c%c*-z1?@rqlxvdI=BA(GFhTqq4`!F@u_v=ATJP!Y`NKVx7$7~T^XK9 zRDDAl`T&@8ka~I#99vf^==j8xD&18H3wrq?r5R4hF}{Q|z}k0!YA1NhjxI#}#~syf zJ-(2hP$RbEX&NC(k+hj)G4oj_smpRalgGn?^1C;KrCiNAgr*dC=8CJ_|&#`<&3GU9!O#f5V$ z1D?8h=1Xzb#W2qt{TD< z8eJMk;vC(bKNskC={~M<(U~%|ORc+bJ6%{=aC|tO5js|%F|>JOc+-$FdChk$aGDF~ zTt_l&zb2*)?M`#!y29#Uzurxk5QV;!D(WF-Hd^uhTS1sB8K?EW?9G z+=2Rej{u!`n#EAaRd8v`KZK&plwZdqL54?GxV~ltdIQj7Y_EKBI2$9@A3P=(ZF)nV zfluC`vS<6^B%GWFg6#5{Mt(+~Z{i8`g61wRTNM9oTZ30#4Vx)|Y5PwmN&&+&Lw+o} zcOd7z1l&;KBENWsgS-llW!MzWWVpau-j-VyPv^ZDbL}#i_;{8`)88dnmLj z+~Xt^@_RuGgPL@!+VhvHc1|sfrgvO)IjS!UXYaRmt~^v)k_?>RT&vo(oyfK)W%7f9 zbMw&FWkdQI?zXeu`q8+M6P>{J-8Z$r%HLgVG`+AmxE-Nog^22+?lTF6!gX~}ekMxs zm80%V8VcTQiKf)<+I;I-(49g$;%PY2S(J@Ow--KkTr%qoD75NT5ZErvOUf#QNwWq6 zi>3Z2J~%Yq5;G+K;0t8@DOk z#JjpDEEoz{#GL`VD>=w(B={;ZpivIxjhxgyUy#=YpINEW(S=zedNL<68k7*2NWEP&yZUcaT=zUF(0@5{h!F3WuT=S z!Q_FG;?Zj1zTknP3i>dNyym+F2=KL!%lY7vtaving+O`7O3BVmYKAmYHeXXCRAnZ2fTI%D1v7Zh9BCR>Boi(r&)P5Ie>-0boWBHM2&PxSzYPDZs%wEeO{f2xv(w3GHUz zNS`C5wWv*ai)UTD=JHF6G_Pvcz$GR1p?D>Q3xr2lyTiBN%m!iLB`!nOg=y&kg zlJAXZqutjmD$@V5NXgMIx>0G{VSqLTpcA)doqj-**{4k%1+o(YqKSCZodVlFwoGjJ zEenIsffK;+f_1RhLNjh;Zn!O9pHH@j(5V^dl3A8y*fU9wu(}ni*hl*7QI6p4F^T)R z7(rNr*$>udU2U^cJ;7Yn>V!}ke|_JY)rN#&{m8$ZGeGO{-GiMXa~Dd47h){$UOqZk z#}6=1=Xy2rQm#^&p8K8wr+l}{#!t3j-DXcT#aI827!@JJyYd!k?3&-*>ZA7wLc3;< zT|ATev_1z|`Nf z^M3<=wd{eJiW!(VN2ke?-z>63cl~n)@yQr{FSwE|kv0kh(6rC@1bOL7tVW zn@`+mvVGzjaEzIR(EeOP!u!?lgexblo*PD$5?vsiGJDaPAM{8Ftg@YxeaYiS zO2e53?*J~vPaOFYb!@e5Xi)33B0Wr-pIDZoCr;~{RBi#dDrvU5H%ZM)hsG8Uof0SF zC!xlX@|+!7&jc+WE1!qFAEdLCiMvtu)fXsrer=Z9!x~Tv=MdE*O&x2En?98nJ!9-II%062pk{o`WwKJ@3w{qG4HukNvX-E8;7-~IAKLcFUi5X9hGrBK&l?JqYyX{? zWezecPfRD*3siw!Qn!E9}7 z$bx##5EH6&f2Jjs^dU^s14g};uw4GKF8zwe$D?{DuYeii&3}G-+gpd5x|419fI@H0 z_az-0x6*?wt#n%Kd*r+lu?6mu<)jD?*qbch7&Hu9RxbgfFU_N2^@j*8K66MuJHl4i zcQLYJ!H*tGz$57p(Zw&snig`YY%oD@5f|Ha5*?`_E?m{WiaRyiHt#^Nd=H1^9o&*- z`R*m4JhLpkO52p3aZs;KLYBV?D%}r>)J#RrN1y*<<{ljAXlVfsn52V{9`mb8Sm6UV z5^D?O{re~wJK>{50uq}g4pWBkWxa-iO5#*hwbOamDppj!1zlTq0P30ZjjfXxy{#_Q z&dM)Eg4Cm{kwwi)EttY#V|5Q;X#t!l-dT6IH}k8k)V%-3FwHm2M^64oU#gxvl?cf> zl77P~Ja=EgFg27%IrRMUnm=vw^BM9;jWVtpT|SQW6c>ppWW>;HHoJoO`?41=Fk}qZ z%0B8V1!&snFWn2m=c|a{DoHd!#@jzl;ugovnydC_CFY`Tzx7iQ8&#V+r;iViLz1~U zN^=nV$3sM$UUUv47BrLtV;y5LI(+h|rYYXA<1wQLa?DSeR!O<&cCS}$!)*Q{#cbG^m=n)G z-=b@uEryH#3@k zPVvqt?tV}UF!sH;R=c47q8ZANiwe!>ub?;}3N_?J7sU>TZqId(RtUT%l`m0=Z-X6) zaTYP{<$eAl)>@A61C9uio6k_g`^SIuo-OZnH`&Sb$_#?(P_OfjtH^Db!eN8pIgJJ5 z#|1Q)3|e-nTV$Z$rIbC<+IlpN?~=NH=r zSS*)9yTZKYCBeM7J5(uFTd$NxR2g~m)XBeiyL2|KT_<+J8j!PP$(=l=JH>@XsNbC)(!fd`Wc^ihSHy*T)Jc)98)3?EosRXF)whTuHqj+JS+{9wIoITY)I(qA~b}QO<`cd zfdMrJ!Zb+7f@XJY?p73H*~QICGphLUM@&5e69=4i_P)U`0hQS|m8dGYGhQ&r#LkCr zzMqInGpbO;F2<%~|9+bh*iwZDA;Q^}UH^^dhndz{n@nyVQB(N7LVV`S8sBA#qME@8 zr*V2T$i=o%T=|<`rqE^~P#180@`q;%&7nRy^q2{%+o*s4onc(^=N7z2;%+o6k#h`H z6Kf}H+aG^@WK3t_5Zo7>!q|QC1BE=d40%0elNf5dye@QiszorX?Y^9qEI<8yv7q`? z5t;)S{i|51y^P9Y#lNQmE4w*H({a%&%;S$D9Lwg7SV4JNt~fHJu0!W%JwyjaFx@K~ z;)g<9iRzNXAzOmJ?-Jd8m#=`-TPL5`onFkUmQF$HeUlRwkRCD1J1om5Ux;lC27@2X z&S;QT2fYNo1o^?WT3qI>e@jA*y3x&%zU%Fq_hg$Clb5IdU)a6|DDJ=^E~GZCq}U1~ zi?A!pmaoI4YcGk~q6DQR~l_H~1IkJ}=_75TNg_-GiWUaz~p;CFEij57o}(cR49whn;s^ z?2)dCT|I}KV(P8mcaeow=tkr#04l`YZRO?A-fzEi$zJTmx6g zo}M(zwFfx5$Dh5w)-kIq2SyN6OE;s!zZ-IF84nNtJ6}n|KEo%~SC2JUqSlTnF<+VTx<;_ z|L62t9E+#$iCy{lIRsE+D;$k+<6KvV(a&&I8b_-#*y+Y6?juf(yQrIX%6=)?J(q?qIo>B zsHzZ7s~$pWq5^jR^hEPVF65`Z=f|z3IhYGzpn?|_TA3Vb@Av8mo_rOmXt%}^Xn1h6 zRcfv>nd{CG4vU=efrErcPQjPVYmn*;@=?MzKNvXP1G;$UqSciAHqor*!{&gInY~b- zZ37Y{D$k`*FuFYQo$-+2-&4pjYlTAYNRAN4dK1&;&70X45}YZYB3P4CRbVH=hY2?} z>sPM{&d3p%r+j!6}USpL($gf=q}))_T3BT$wD5CU4z0 z7dsBbvH}?V348e=`f@vD`mZ6ndyi)xX8z7>bFk-|7cn3P1RV0j!Xd}8gQ_Qv6i&Y?#D&Ig{ zqPuAFCaUShDcZh({v#PBx6A`Jef4pSRNpj9M@@9Rk2VNvN^_*^XhToBk8CB5v&?kuk`sW~IsLz~@WEUnK#vi@Yd%s9rMT9xp-Uf-N{ z?vn&7&2JPSaW6kT9eFQPq3WCJ-NVv7eApY>h>a%+n{Fo)G(u2~evUz?@kXxqYj{80 z4MmbnIB%~6+-g9nQFMl9A<6ICHQ3;yTc@R63L7@p#LSLH*?$Ns7jPFS`;rePIE}V0 zuY+-=jBZhwi>AWWDqw}ST^Ps~zBNS)w-L<)u^Dyp;oqptmt=>^U2KFb~5NAA8==Ocuem@@QR

    bf$YG#U5w6{Wc=XLg89#j;dkdMW!_VmFM1^_$T}yTI$X& z%r5&mckL@qi$(ANLBFuES_*8jqz#3jqDo#E{PM&hM>Q=sYZ@2J(ox*#oN+Sc9ku^y z|Iu?$w9S1y&*mm^l{@2R<;ag*Yv(M%6~TI%nJrdN?(l+|`wM@}@w;rTtl!?7%oszn z^`x&I=*cP*?H>`KQ>Xhyjz+U$(0IHQAl(bSMat)JxsQkuD^+?A4H1Gb%uqRE{5S;p zVyd@Z_l!MFgd|}q2+tbgFKRAv+uQJgL+c^xegPo@ z_>8#IwlO)gaqj2ZRkl({Myk5Fo}(085xp_%Jqt?iwbvE23Q?4AuFrmVAwLz6c#-o! z>9x0YD!5;i_Q2_FyFJ||@ityXTK^a`A7=eJIr| z4~1jsExd?OS<!+W)%*Ciqe-I8Yo2W#YqQZBNUrx`r&}|HANWr?YItu}=x{*q? z7+!RJ^9Nu<5OH(hwCN%x_AibuT`1P0+D0d*^6STMNHUkhjzk(Gwt9T>AkZdhalK`dJ-M9{CJB+cNPgPA71MCjFnP3!8s0P) z5yN43vzc(^juBJhnc=~B*#b5^pcWL)8Ao!Jubm@AX09Ny3%wp{2w$0I!m9vlFih>EB4~2T-Gx#5hJxe@XlxkI4U#l- z6{z5rL?!&p1h2IPU;7V`EVdl97-sEoAU(CMLT2>LD`tSl~5U`<^gDpIm0x%5)Csb%l@deN_(pJggFCb@7PavHF<8Ll+Iq18DOM+ocmLW&g2Is35q=^{0k^vj*hyVm#%ga&m^=Q`hPi9 zz_upxa|b&miknR)Q?9e#-#STsK%*Iw*z@v3@8`bt-CI9OrNfjfl2B^gJ{?=H^|CCU zg+A@3ko5iAYq29bKBVvj&&F`C`Neti0RSc@DjL)4L2yekkr?^nQjBLkTCwFO?<$Zb z6)=vMRkTQ`f_c~TXGm8=_ad1Nf4vicqbAsYQ1mj7$^n5ri;=!#<3iVFP2$OP42~oQ zsPt5CHF{n65Ea^;DSVza!3#XS2peZ9eNhyVD+)3dHeXX^-RehJ_TRaOXeS`{pRuD6T~Z(3}Qus(-xSC@LhO@!q(h)=*@qVr-*>7lDa>qYB|LwT3u4 zI3&9qn_+)ST00#uyxO8b3vMX`_~CVZdz!*eSliGc+NKK;(x0H7U_$+%F$7dfbj9*RS8;+P0c{-mW#c()ywAjlHaar$lrA zMgO2ofzU2LdrvarOs@K@m# z@?K?g4fC-gGOGq#k$x8(W8fws$!;7k0dc{%rnn8yMMTp%j!;e;Q|a*p1J zqokj{zxCmTL3Bv?)Drlopd znKUx)__ZLwe!z*e+-7<;N^e22qUP(*sngTysmrB|w#sQ$tU)Qm_g)p&BEC$1As*$f zNeM`h3H{FKxHvL`t1%bjG}RdR_*@0O>*FGqFH$hBL9K?0m|olm5``Cs z=s{8XH|cvB;t$9LQBMwkuU@SU4pgo=F@;kx4xAf%co}{?>LjsyDM9b<8h>`N6>j}B z^nFF3ug&-yQ7#`J)nr7QHDtisuesu=4Fw&4 z!O=n;MD@2YPfxZBdex(U;c-67M~1Ylk&&R&jd8eD)vaW9 zeA};O9L~cKipm(1C0nkdny2SI7afc7fEwUB_j<46TT|Kj#%lOr%jvFzgZf;RPbkHk z6Q)@S%&LK9hzS!i;cC+?2s~M7808()g+YJQ`;nX!aza8E)(%z09aRncEzeK-n^s8b z`yCnUs8rx;aaOuZnW&cYbGPeKXmsXeR5b)20o z2S6ry^D0ypsCWGx`CY-MukqM28421HM#y%3mU`qvYa zuT#8CQSPd;o?A*H8AyMcFLe-iajB-teMm7^>VE6~33;(zIoRLY-t(RrBHjKrxuvIN z6aEV`)R4=JLD{1#>ud2wmAxbMQWT@HW3AoXed0q!Ow;viAb}ant5pXu)t5nEj0UR? z`X|Ckw(R+9u6Q-N1MK7Sqt9B>{{r*mnSt1EpX}vtefM*`eF(_h?ej< z`DVm<&5!a^kAo4T8DF^B&!U7^mplzf_53yW4G7?&m`FpVog&=R2I}s31*Zm;2#vU0 zZAsWxQOf6i{!-M>whH5~7}D$}l8M7`G5MWBmPpBKm`6Fb7YAJfVUV6qQy>OpYeD>d zq77vTv!580Q2&gLg;D;>AhsZ~6oIMF8DRDQ3?QNDcZ|oPs9c_^?moR_pBj$N5Pb7R zao15@@=SE8ezb#Ie~3L=UD%%wzdTZk;U14{KuUl{64!)}7wy zF$l9AAKOYtfAWRJi-o3%Eyo=cy8{o`-l%YB^k~}387Zi)v9-7EK4fQebXa>|D=xYn ziF-M4yKXFUkyv#_7)wd=;90H%l{%0kQTpQd!7I2Ri zfSrQgWOQ!gKy5z0c$fY8Yo`;U_tLR+UISgx%WH8X{jy^@BA?&Q4ikd`xplz>;ZSTP zv&Ts)Cb}|pezBHU>(B+ikXJI$(ox1N9$>+88#$TcvMxi07+&8$E*U3_wS&5Bny|Ed zdzCp7D#AJCPhN>bLhlEO^q4yK`M*htG3UQh_w)?J!09i zABsNK2yk5sHS(ka9lI;4+CS_Qci1l89=-Vle7f|nav^(H-j3IRV+JQy7D$`GkwdGe z=%>>EC@T`_wU=TILd104BX%-Zc4xnUx%s5<06L&-c3 zdK<;j^-6R<9;UF-gY0Kr7``sW<&VtP9L3UYZ@$>}*Q{IpOCmxB)Z)}-O{JyAd9goL zRto@CNBtb_B5s*w9=Cd0-Uf=lWoL-06(TyXN{tNJ53I)BJ;B39WeNG{ziKqy8!O<` zeMpt^qt=M_YD7yNmbY}{d9hGotS$(XZ1Fbuh5=vH{Y8wEf47XX$hjgRxym)0sg%EI z3t;P-ix}@N(Cxn}`0fIv$9^Qe)6p(wfMDYl%v$PYmBxGSYI*!RR&@_OMSh4Y7(jzV zbY6Ff3Vi-R+@v-D4faS3mHtX&=6SJZzPnH^9(9B_VRb&$`ab4UZcAHol{$THY`4N# zh0KLx5%uWo^m$-{>uJ@#fRVYA?$w1h4?Scsv|M%JAGtI*#d%Ds0=3Et;Yhwq-C@JU z6hWbB9d+fn}~w|Bep5YVf6N zR01cTN2jb;!OJG^AcbU;2e~TA`7-#vn(@rWR|K_Qs>pAbN$T%6fmCy4$$abxd~_L% z!B_8?zWsPuCG!^=+&n07Y2kPA?gtwN@*JvIrrlCl8{)w<07wtk|KjPZ!>W3|ug?Vm zky50j6%av65Uw-|NQYcPx;rJL;Tn`6h=6nmNOyx=QbJlly1Tpco$KfOd*?5C9%N?D znX_l_wbx#ocie~HHG0zWPx58K0N6}8fI%Bs3FA4NKIcwI^MoPTt_rRvb%qTo<}Xvt zXE2@=c4OJ+`!n7W>%&29^XU+{qqgaAj3hDSCK_SoAF*y+Ypll@JwcVFy#(1`|WKED* zSkw9On*R+wqYi6M8;^7{X zpyzh|6kmEsF(HfCnp<4{+#02w3>Kd`S^k7mhxMzIkR3HSk4H*hX!t%l)x+j=$IYk3 zz0mJSV=7>s zump+LUf3)Bo(U_|zJ2OE8Lszd9%O*%{+398^u0!K3%LmI8IOk)A1I?To1pZc*UzHs zd$F(~i^P{$5WzRB({D$U=fwfJck2ypZO{4*daxja-qby^3Qn@m;q6j8*a)&1$HoJX z-Q#`zp_s~SYIKtM(}7X=!{6CMviTXGo$)|3!J$AI1_s{k>fykEItS*g*c zRFUdWAL&#WUJ6`x_xjw@udkm{yAWGf>b0Z8rQNxCiU(OdABisT!MN>Oox6~Yw_yYw zbYo8UQo1>uzIU-%c(xiY((h&2rAgQ=+_2j{;e3ia#P8!SBxI`lP1vWK<*i!u^Bya9 zIu`O276n~8;>r4u3wMyr1U#VbQW}$R7fM>8TOs%9D zZ@yup0~W$k>b7hxGwYjq`LY~9lPeF{v-+z&80`UHyGIR}4P3-ONZIiQmM_p-i2aKg z`uT~@;&OF#lc5n)F+2)P)#^~~eLOfA_>L-O{gKsdTg7dEuN={}+4JNb7q>$F&=39| znxg`_zXE(rgn8HLB}F>kyzO@tY!fGKA=EvA+llF7nt$^E~{VK=t_^c;R?1Yj$Okp@a9^*oh?{!|aKb&h3zLAsOT(jql*@#;EB z=QY%FoG$vC*V;T&;gcT*P97jkh%;d@ke^x0Ds&t<;+H2P?pn}#tddKea)+ZG{5eS3 zzwViVQOdoODiY8cd3mVTT$~#OM&!OPoX=W=hTzcz>Jn2Sse3{B*$d!Sag^4to<%V7 znw%1r3A zo1b(*Paiolx#RxZ2^Zm}m;Y0sWC#c=Y2Swf<(Xfk(LyubO+Rmn+!JU`p8W1}u5mBT zz5hijiY&tTm#A3%(s~gdH>UOXj9)Y@NoX~bhFl9vjQ^u-aNt3owRN(z-PU#?94$Kd z<)6(okJH}kT3+lptuh0euiVT`m$&-12TnQL77+Evqlj3FoOm2zwWkO1e0;WMtp_Jv z#a;ba0XW{vrgU0;o`r*#xd8xA0$h~e431DtRWL1-!f6HyGv$kKD*djsX-1qn--^94126sPlduN6 zwAV}DVWs85C_Fynjcn%g<*Qej>UQmvU$r=X6|J*#6`gCG*Dn&`LW6skKD@wNt4X`n zCI?cX-eKSn1n}M_-CH}b!Bp-{O}c%g+f|tBZ1ITtUVmiHxYAV36aAGd8Ti?a;Tv@!NDenngr{x zUwhB3-oBM8g;^syaws&dZw8$E9@$J?v)juV?1z0$&W1~LdSSjWiRa$kIeCR`fi-xB zyC3vSo+25Wl?ZOzb6&HbrWO2Us0s66(I@e=*H3(kALPBArD!NhI-*;!SCIZezq)d> zJYaokMHgBcQ*+5GiEC1%;Kt$<^wO9c#}s?wnsj{3MoNLL{@A_H`uiQV7dPSM%5UWj zE$%Zy>3H_L`BcR1ndJ*0vq+|Ce;D zi_jN^SdNgtg_U>#ETv+|+|1v5Fbnp3dA1p!S_C(*KUH-nI~_@p{;W;z*K*@KO!7gB z``Y_l6FjznHE>0aIeeDoG&!_69^iaE&ec^dPz_FrQNJhgQ?-X@dU}s+>I0fyULJVJ zQtjK^m%&1Qnx7gpP7DxCG_z2beyu3edum!dtztq0qX?0~NF?cP zYx?)$ve`|Yhu{HL&5yoa)FUb!daN6PbdTc0v4G9wf&5kS#D1O`Ge1*~_WY*6+F2Cw zX8knho-!*?5!|z>Gg38}(X7wvCa}VZP3;IVTN-*%BTVH_)`Sm11S)F4m86J&OZP9l zp)WXdalC_Mb;8P(!hlcme<1&=^TCxVy$v~7cf0z$r15TIuN&f0`-*>(DIe9ou@&%f zPBdpAdC0K@M}SyQzCf4gznow5fPX+<(&ps2HM8qjzzH!*RF4dTM5ItS>-^E{k~9aR z>Fs56E%WCKeR^e{*c?FJ`jy~fUv|Y>{P4NueS9c^H(G~d9@=zJK)bq-8!k^YB)~nD z|9<_=Z-l57s`ysLRvx8evm>L7=JuOv0}xi8dvD_W1aZNhAQVpxLQNI`1!to%_6i4}j~ z-7WL;uMXj)f~RDl#)9!^b?26^o92|ZOIlXhhY-2Ti1X_v2dxnYl z4T33XNRfSv04h3?w!KeXuY3u){qnFl0p3FQ^0q#r#QA315d6AF={?_-&%gr=_&m>L zH)3rFuJyY7eYnlk)+WYbAiojkFZ0sOlu;y;tbSl>a1<4C=-~DCtwNXK0#Dy$JaDEU z)rw)ht4p7Ksa8u!Ybgh>0h;UNQ;qeNkr**x{6k{QgeU~@37c2FzRT*%1Of8>)`8%b z`g`KBw~KZpg@pc!%NYi2hDS;rsoMVm7BusvHZk&iNu>)bVQuekb8`i5d6}|4U|=I( zu4F(D+3}xZYTiqNrqaY(9$tQ`A?!ksFEp+JQCHZ}RYB$G#D_WilF-z4gegycpR&fu z%@oNJ&E<^li}KTFKDag&fltFD{&M}H;_Mu%cG=|0B~;g`Fx%(Hj_<<5Qd~u)|0FvR z4Fla1E!2lyXrPyeHd0oyhMDW%wz67aP{_h@A&%?0e`^nwk1=^a^OjIcHcrYLKRhX> zdGq>V)dkgXip~8Smo2th!Q_j6t|wjW<W2Fu;&e~N^4`b}K1K|*voc42dIC)2h zvkr04OYj7z9_nkqeoPfpMcJ_9kczM)lnj+xx@cp{oUV|k79LSw;SRUk=GfkGbp!a= z*1dyRvm{&J7UoPIP(xc`fXzBzqu+Rn(OgO<2{v&-uD0wDt)}V}@SF zzexdtap$y#M9caiNbHrF{h_vA*h+tgvq$Kw<@Mp6@luJ|eEMs3twOvKa^`qC_Nk}4 z#=Q^Bl4`U*ZF-FJ+QHgl_0^_4cSN!qt@tM=|7f4Ls zBX3I#Z}8pyTrW*Fwi89t_pUQYPvs?v}gyfU!IIc3ve51wj0jD-Gg83mh&2 zKejTe4+0g$+QlV$#VW_<0mItdM*2UY@s$kU{=A?7l&Pv7^~ohJEZ)nayZ-NfiOAFmHum(c!ucePN$21qpkEEf#= zM6gooEv0vzuHJeZ)m=8ImRDnJ-h6abzHgbQeT7NN1UQn*`Fgj#ciqS0=~~iK*Gaze z?kF*R-!iKD2~`?%t}VH*n)7Tgf$OoVd^;S2k|Jh(f0dU?;vRG$=X4W^Evzl%=Q*xT zru|OZ6`h#m(9sK-%{~L|O%X0PpsW|X_>LBg=CNGAzaxUu)j!qL`geR-cnFSx#`eoK zGxQ>r{Ry9>2w(!w81J*_Vs*zJZWt#?ILlZ2EfX5n?xQaOc5oM#DjTgZlNza$>~b0I zA0IL9i1=MJ3Kr6h_TteL{JgDSF*_)d-LwilI7(U^2|hQxI+uP1{`5?oIUOtI7W>A? z;fhMlkTH-WY8X$ie3mgb>G2MyyiV)EvZ6RK6tiyWNm{{5%3m&}m+I#{^@1V`=nd`e zl+?oCYpUR-{V>N=7H)vN-scv3+-b4ccWi7>lNtr*HHD0wJEi8GCkpBJtMQKUBapIJ z|ExngEbuAfz|pqQXu|UMh?{V|Sl+jwcZv~h%hM;Zdiq!QKQmVZIyCynhu_}%g5y{D zn>=)C;xXf)+o2m{`~Z|~^s0CGGN?iy;G(Es zd!6m958GUyE158^*?eFGL$-m`4;Y-o^F@Tf_h`H`)BS)w1*Mr7fy0@kRNj=M(;Hy_ zg76wMS(b185}(cmk5$#!Q`>`9j8SfiKYo2%mg;ZIW1CHjg^H9G-Tlors@jR^G4N=R zLx)whRL&+^$fs>d&0SQqlA(48Jh?xh6pc6dWp}w%{ux(SQ=4IceFpL#|a8OPT`BZxBc9|c`t+0E-7C!}s) zLg@{jgKYfoxwqdVyI=I`5%cI8bjox4R`gd*sWHqKIT;Lo;fbBE@bVTXFt3oF-LKD7 z?2gR$&|F(;dft2WY2wwB+7myIOSZzuvfY!G3&nTip2aGcSL>2DhFE0@H}jAFw6nka zd;@dNL;lBcGXLo^;Nfs;fG9R{9(uYmI>%x|wOt-T8t9zarU)qF!vcZ`E`4eL$e+)b zLl`?MPv(r42kzlsV~EMD_cJdh<{jAYv$hala6Yfnj8%S;qa~B&mp%@x`ZGDI8`4kT znsQzalLq2wpg#{}bl;sDUN5(OKv(YY&av*qguW!^A{3O@25ZH+umTca#b``$3Ik;1-N!KsU{-djAdv^yQJx zwzqV(=d-p@6wczaJG1Exho3?ODq#kx^63h(to;g1Cy{E+hDr;xIYwF*I~4#CgjN#y zSkRoiAf?7!M+<01*l~iFNcqpD+~{RvNpZlqqmX-b0njkz`SSU7=4KP{((OVfXs$`8 zv#if;5MHDHJIuYl&E%fNf3EJHGFTJm>9eV?j$9l&aqH^`17)Sqc3T=2QU0$lD3z$< z`3f(B9>3nm*9v!ADd-GlE!+BDV12rE5Jv!&XX$Y<;!;6-`K=d&NuC?3rd-7L3sZq~ zhy+OiE1MZhv4f}?8DdUExXTk0Su-dPb;MJ$pr$*rvataA__tsHcZnq z!G>sxB^RgrmK0tt-h!u_Tn0_XFO~Ua;mJfP&ZYXbY*K1a8Ab@TD2Th?gsJb$h|b(i>sXerHAcP8-+PEp4_ z^}6dVwTqotliUfAXjO-tE!v??;>UG;cX-WK-sj!Y6xJ?8$box};&rHAT(di0jsMX^ zP;5(C(X?+8?mZ|(?hWpOgRjE-;_mKmC)l5@?|+eff-ERkj@%($!`GSTMmr2p!$`n1e~;W@zG|IH zGhz(W$sV$noS2xsOdKR8y2y4>;8?d98hVh$Bu@Kq%(6N>bdEs4MKl^@bDy_j+j%$? z^J*{x(@aq2?G{ylQwAYv0bFPJ0;H1yItD2+@AYC44wf|Y;_7X2nMvqAa3@Hy?hwSz z_{NPL4bBl%U|D3I(nt?p#KiIW@L6IvycByW!Z6{lCnx;6tDi|v96Oc$^O2X?|1s1RrGtBn>A0?OIQl>oM~_x zFCY^2?mPo<8K~qr3E|eI4{z9hHH9qtO1ryID9hjdylT%NWN5mt?YUQ+5>Yr^Jp4so1c? z>ZjriuCkpZn6XC*F^2+H$aKb#_Dn1eDW*xGH_@GohtJ1D`cWsAjAj3st1QFT>Dnba zvKzi7AMp(IJK_?YoZyT77neSs+0&SPELa5KDk0M@i&!3JFYM^dORGC?0xT-Ad9wVF zUuW@FQ&{|z&f(q}Ar`d*AMUyryQnCV#biM{z6&YOvWZaEDS5-HM+ckrf%O zzkf>gcld%>6<_6dv-efv7){;1x<_O=N)@W8kmHpxlqQ>!|LFSm>vnqH2anm;@DDXtvQfG4+BU;0fr**zQSr4}Oh>_Tk=gCF zJ=Yz@oF!neqn%b~P7f2sL&`Wf62D@=pqjheD|(g6w0V09pV?g6o&5n~*ycfYPl_8G z$*V^0?`k#FmjwbvwyVk7C*vgqy#gVr&1NTaPf>h+%T(mp^vS1dmrD;qnmU;I)FP#7 zt4myYT7Ym6c-@r6!{o)MX0f4oG;hSDuZ6grK&>V6u!JC<^Hu<3Thg##eW^`zIkXVL zJN3{htRuHZoy^i;cic&$g&|yL$-PMl>#&FRNRgnduua1AI%f~uJvG4$DZIOnhZnUA z71VH`71h{J6N!gZPd~zB`x|gl5T2FGwybouh6{nhpX*+N>VuX!0&YAgFT18ML$Z6* zQL-Q#i)u|>YI$vUTXg??Hh#7~+1Gr8lkb^VfRUA?TRnRo>aP@ErRKHgk@n?F60wK- zeyPj01 z9Gz;KamiTx&L>*qweDh)ESA;Al#_zRjrL%46}xYzxaR0V2kVZW61&kHQaUtAypuWB zr*TukUS-d|+=W5ZD(<<9S0w~4bDU$HyUdrwe^Cqcg}lf`C8upqUlkUtoQv( zNC=g^xW-k8U9;SuZmBmvM#xcIk!XG>?wQ{$r*7YL$o_zcUi>t?(;dQp{qy*0N)VJd zPkaA*kQJO<>ceyO>Y1sRlN@Bm5rVJu_~)mVCbQ$-7pK8doebcrpx~&KAtz|Y@uYal z4?`;a#}$t}?$OIelNM`xW)nW($*l-+E6_nl2fzue9n$MAikAA(@Q~>asCBgZJ4dEO z%cw}T!~GjTGL9o&>Q~3-YM6zOiBD+~qo<;6-M-)kfU=juPmNrg@43bVFJJAi*$HC< zj2JnpSGr{ryxq9;z4hTgSP=axRX#?j7P@4k`9f*cAm6cbGi~_GUtq5t>}NM35Sz<& zcE4ys%scIf@7I31K?F%GSa4ck>SZipL*ThH&(fIC)M^o# zYE@jidr6xR986nmxeEg@peQh7pw{2BH&y-^e230cF!&Fl`^Ot1lgYSfKNZ{%!nwjA zR&1a-)*b?E&3#Z*)HuP1{m^~bam0;Zh&N7jcu;nK;M8#lXn5@Xa6l~jAl}95;Hi8N z1y?wfM9SxrOf$&E24Z>ii2i|J*$N(fCZD4Q|5t5@SX#Z>Ufrr}-_&ibekx+>QA~ zhIEzk?`mqE#oqZZYE`>Fpn|ADx{1TjJpP9`pCb$@{K*GBzngl;-1@F!wJ1@*&6##* zHEshaq6vOl_EzZ*n2f-eaZfE8p%2`6#_(Mw~vZ%!WZlZN|XhG$GRJ{(%Mly5*>V0=7Xkngr7Svw>C5a6jPcY zg3rz7^h;SA3ZEJNwv!l&tAxOy(gSAA-oHT@E>MnJ;<~0;zsjKvI4f-MJKLb~xhX;;XoqocSI@ zxf73h6jM3o9J-%tUOF;0rKm=}cvdrkB!I-oX*G*x2MgLww%Tr_P6XYl)Sz^#i(D(CnaJ?p?GF!p&ZRpElwdLKKC^9Vg|~d{n(0 zw9`%5LOMaSgCztXcyn>i`JukVmuqs)=7W(uYun&UvPdRF&j3cP)8K~ECXkJ~>%P=8 zw<;9$(_^-r3fVOAg-CO;(fHLM7I4|YiEcs7%4|*ZWWCwbdC_Eet$I`voT&MKWP1H^pMX@xx+huuAT;-e24n_%;?Xt1LKpcsFr8*Q$@xdg3*}u z)uV=AhQ@ypxmrmaIK9T%Sguk#DgaK*hiGS*{<5Uw0*R{mK&p?OgW< zGtazt__TIe%csUdR9Wqg{xoDdX~r^ZCZ@X*Bgg~G$URIN{ZAwvSQ1;o|=Vk(d5DOm0& zp3u^cvegAd))+CU_#=)bSY!Doa9JTpNru`c=d}}6Rlh|#@F`MEu|Z}EJt*|T5ckO8 zV!Ai4lckz5zgX26ue*oF*V z+sE$p7}-0*+1g3O0G#bLHE5%w@%aH~lf7-7h|o}Cibz#N69;3aL%9D}(Nkd-Iw-}O z)VhUbvKFj$=a~Y!o&^kwel+%h)HuKNSy}|WNl!mDwM1w}Rzsihl8_DuC{m1 zo4vn@u29&uhP?I;tIqMwcQQLOVnj(MjZ=-D+!eCrtGni+2*6|gNYy4@{<_GJCjDR& z-Yn|t{Ps>@v;M8Z2Z9apyyaTW>4{$={|uK91O!;HOX}WyY1DoCrrby#_?J`7=_RZZ z=+rsNDVGvbj)_I*J|N}R{NRM%V$bRp zJX^;{)%xObn7+17-i+TFs_e!5(qBp~ook9FSN4eN-c@PRKY=e*y{?9uOy1DoIl0zr@EG(a6#8CglM-V+v1P60 z*39s(@X~>hd`v^3PffryZXb$b^Vsnt4Nr*m6r<1|D6+<5JELx>`R#w4xfR82TOTAm z<_zA=a07{R=_8u|T|6~QATtGzoONv=7Ij@aKfz)`xV)4(jG^y#2P^hwNnEt;O?@`K zPXE60mNmBcTqL<(iRt$30zTsv6p3;*d!KzixNfaNOQ0oVT}PlBYa_Q2#q7Cjqa7#0b8UcX^> zu_3%KF!vql)PmR*U94(G`B~2I|7s$d69aot9L25aerSS|JPb zCDcx5iP^#XfyG;+qAjtlj?pVcn_$|20={i5krn{zKn^qI$6uejAD52n32MH?Uh#X( z2Nm|u?<}}IFn`|7xMg->YQZh=GrU~#cpiun9+ds)**2-O#8~3p zLi*5vV!wm{^P@3LR7}3^2i@DL|{k65&pyQy1O93NI z2v`hPtS1p!aO1MbzfxpiasSTu{k?oA1h_AgF?50$4Bks_O7qfB7O>QfX1tt_uW`jO<_av&$l_!7n*r{X_s!;+ z^~>k_N;)3*@h_P96{K2i)2w#?*%T)R z1iB8Bwgg&%C-ZW_I^`ZH$wm+EC-{w;!aZ8}1E=LX+NCfk?rjcIbmBGXy?<0IK|h1A zODz1C>>Tji6y7Elu&rP%36D1wBPvmasm(Br^2l;87QQaTo+M(8qpav;>ryAS#HP8% z+|p-xr*c6WNKwek?WIe!Eb;A;rvoI3p1ipOIFj5URyDFfU5CXSmcnuPLs6|z zLJeGiKpkplFdwWFJ^K7;aax*2+lQO%yRlQ=ALjSW3a;0$lZUgzX5I+%kS1QFx_F4&BixDC2e5g?lycND-G+{7pr+fJH4M2d5ta@vSroRcjS3NICmF3xcinn z|G7Y7QUwG%KzJt0*qh49eeCXTU-mZ*!I;OXv%xz+K8C%!l{Vn$CD*x%$mP#5%m%@zLe6sK zak^frxzgzxp#1Z{A@+&ZT+YAr^*oQ(vCkw(TX}>$OyQm7SrNS!2@=`czKA-(?u%|t zKeze)II{uGgN-VTW!dM(58{V!%0e^m-4^eotiBVgB>w4L%aA(Gi8!7+Pqr*ab~BA| za@v%-32(nGZf>XCaoQm!s<}6K9_{x_m~E&cEWk<$0M`c%31h@lX^kZ^>VA1cJaI#y z=%IC^iBf%2v-$ojHg)TERw=64 z#cik3bK}4K z-_p6#2Y}rZV)CMv=}>iXB6rK&X%x3xgOCUg@$6#%?p_&nDA>sIw zW})&P{ntN3s3wg`v58Z(Te#BT07>aXy zg`WCdnx7eU*eTI~3Wl>Hr3UZ(LKhz1BS%zX6Mw+l-EBYJO;l-hZ_AtQ02tKX-9Ail zCLFd%WfAxB-^&z32+%D4XKj$KHE)@tfof96k`#?QH^cV9#$?Oo)G)#4h*J7obGouS zTkKu6w9C(jRrlR+mGm*79O=AwIt3B`w}6iK1j&h+t%Yz*WYfVbz>k944Q0Pcc-do2 zZmjgl7?f!^zjDb-74uf>0;y}AcB=@#Tg@bnU}D$wI;YMW;8KcwWi={~_8EG(YG ze1J6Ln8}$wLV74h&fFb``xW1Fz;k+%KhW@n(G2~c9&vI9-1i!IZHow557&No8WH~c zzGj%5h+)aqsZl<<0-@j;?{19*^sq-`0IgOiq8X<`D!%m zz7{NKFDI4Tw!yGf2mOb^PqpX0sTcb?1`sXR^r-*djxzj`?*uB}Ie5!lADiH!SZ!ZPLIXn9-wY&lHf>ZK3%F9q(njXp zV*XANhGU%Gxh-7}T4|QPrrRxLjXTbH67)B|+lAikm-XXUg_pBn0o&<3|2qg8?#s|9 zI#PHYM@K{IzQBQ>=5Q&VgkfN_?&-YjswkX1*epN(BoWVr!VOoG7RuUERAbEhojz#g zIOsKZZj)0GHMK=pX~TR0)pksn-r?xwsz+40^?MV<+K8ysCoXSvo-^Dl*Bwxe;F&aw zF@-}}*1BS%ue(Qb%d#NnO~1^-wi*CyiMf*9#el;fQ9XcWHU$#n(aRGXo*HE`1^12Q zJ`W*21y^nJ`5MBm7G8>jED%1Aj72f?vvR=3mbC~V)jNE0!)e5sIgiYfSK`vH?oKb4 zN_kn`Fu$bVK#@brovLeorqgFMDF{QCr#g{~rCNzUhK$&G2C`cFz>&J`@AA{8hjRF> z+iV~|;UAE_hdvb>hzrt&9Mycdsg@JDRt(kyBoj>7&2HKdMy{xVAHhI=(~WmLU2Zb$ z@xhvjb6E5b3!vFiXJOh-5F{D+64Zr-4#7Rw;bN|l615+#c_C%LR%6nAr-Ei2y?|>w zJK%z`exxRI>1hc@`O0y-STX+XonK5fq1odyW&IAdE(!FG+&ZBWRlelE>s-Kkag; z?dP@W^Z0y&cInT9OiZNF7@I3TtXc5)IYYKyosOd7u08K-3yhtcQMXgP%L`O9K;uuK z!l?ZhJsC(Yy7~6_G>+U?9@#$T38yJ|Wrf-2=M{x&QF)0KdNV9S2iRhG`4(P>)R?mb zGal0HUMv>orus?lKv|O0U4oj?fCmbpX9;s*7j{54^WOdyOIBJvu<=IOTdF}3921D z%1m*c-i9ZIn>uk=TlI{0N9u4h40br1v0~Ub8k!h5FI@&E^Q*r5KL^>v zdDFiUeN7A+nemHj32AuPURrht?w_v{>|N1PMAl-qO!V4$=Ih^!Er_-6mXlrs3Z0&K zS9e~CqzXN`i)?z(3AJ5!E4cVg@oJ~Va}OKtbSyNQ83%R7Y3cgN8bp71#qB-Rf%mr; zV9jBy>Zy9q-luec*iTt(;h-|Bdnuf-d06KyeiuO^B(WdLpRX<86%< zLP>PCWO{q~AbWV1_^SY<+%lUVWyNAWcLNFfdQYmVonZ4_v(s^{sK(P=1>x~cc=cb7 z?l`D(?hds_UA*8Tds6%8vD3;TC`t`sFJ2pwmPDg@NsiBAm9;6LM_oebP!#G|M`^5$ zrA&b{wIUn`DCg^6H8k-Tz3cT6D=8u7`(s8AHgx_G=7V=OzvvuQ`Gp7L`5`OkH zrOmxLz_grEdx{A|ei{@rKA;_A!^zp8zmoYFQA%-M|MmhaOh1#}r#$Rlp@UQ^SVzr+6 zi5aW<6oYzsyPPCeR5Bj2(o~1i|R9js0T>0J2K9ON7D1~>8xtcwx@$CF^=yEDLc>uiHL@gpEsv;57!c&KlysC+zvs);M;eLD!Pm>G|c*quF0E7 z15{lw{>g6X;#~vxl?>&x#Dpnk7#_bL)d^6}(IL00O4P952Vil;Itj;-ltI>Ezhq8s zcePj%1jB_n?n217s@c&w`1>iL-!dNc(M}6}^Z|G`Dua*;1mo27pFD&n%%4gTZ(2x=AAsoA6acNcMX&Fi7@o$ncIUj%ysg zRBa!hXQPovESm}(UgF_jz#S}9GiZ3>9nYr_RBv(?Ne(2lx@14eh0sNTYX>m!Y_8V; z*iB2mZ8J>zFYGbbT~`xCnSCf0Pq{O&xB>*hIIRM1mISi><*L7{-|~D5dA`5^(sFDS zm6Zso@OAL8#v;>DOB}#U&nxOlxq?vfS~nCH7o}eQv`|0XcN2yF`o6GBdIJ?%o~(=7 zXB>px74>A*qew)9oMb{%0s}yT3O$fy2|#;LnXWHz)$!@Ii;EEyM^A7g=8&sIz78-G1BSMT3Av%|5{)yqTiGqvDN?f~1WtOP7uweJ zzajNfMN%00UV-wQWVfbOa&6QyFl}=5K0X(by(T+wBLkP{h_N%+hBGs_VamcC@Gme@ zQe8t0K^_a1LIeI97qTI{v7H|PQOssHC6}!@?s5@x!vVdrKn}2J4EcvQ zAT8r0bTkeCI49)B_9*8{E#SQjneKX#9~_^1oBLrqMwF&7%r-wi;w~hP*pdd{V5k)6 z{L%8>H)pzqEoqx&3CMSKIPKmdH#}3KPj(;m=hxpx_1JE|reqUZQFM%}j}d&XMTP-A z5|3iwC?0a=(al zlS>Tn75H5=?G`An3>>W%0J5l)kwFvvdRma`GttZQ26Km*WU%+X=bx8@iCv zj)&}1$m^%KyP3DT>l4ZQfiA$UaqWw+rlu$=kw#20SV}7PI(BB#w-dz&0R>DwRPUrD zzG=U%Ej`|zvapdd0sOQ;T5{&cmS?{?FJ{49_IwR9H=(|~<}p7RkWPf4Nch{r!KuRY z^TALEnYRS1Xiw}1S3Nf&`87%47gum1A})c;&h3ZbWt9QGvo`;R>S{n!G7@`-T0fltG83m<0hx%UC|JFM%>uVWW6t67Xv7+6|T zbDiQtO- zzb@d`@me2f05Xp_EGAc<(mRO&k6O=q|KXMwf%u0HP{YIjnw~wH2dR^XQ5f(=3e1t8 z#`pY5s`>RfAf#}n)%Q=TS_}$%#AXDbSHTMgEa>54r^F8~RD}QhLHJj@VymX5f769- z7}{?J$ZKkcf*Q#6!S@}1AKNdE$CLUx9*zJb=@$RbNcQ08U^I+Bx&+IB=p(E@c=&Qs zzl75{NQGJl%H6f+iav0950q#J;+@W1F|md0!Y7eOn}6|@)X3F1Ek7FtYP>qcfLK+C zWYTBx8>kq`-uks!MK#@d5MY>B$lT8tzoaQXfW_sd)i-yTIxn2?rp)clTK8#MLOn4= zFL)UHq}D31ZSWtOjSOGeLpy9p`2vONiwK5Cpf*veOVnsA{`pOR5}A=%RzkQd)=#KvZiKzJVcyeh6T21mmM5Th9S8GxD3U zw;%Pom>9zl?zy8%wA2hGVuHSM51|?r1hFH|F_7E zkwT~Guq3v&LqUX8s~)=cj`g4EUOW_0+S4i=1D+{ivKGee=y^Ta`CHEHPhe7f@uHu$ zWffs53Z`-2C`+AX9T(Mr!WHE4JsSfmm;X_uN8(0R?Zc>4o=J$1bW1sTek?LM(R|j; z!pJ`sG?3Jp>B~<@pU!-{O7ssZL<^R61+>bbDwZEOHg=akLUO=@z-Zu_;#bE@BZOH}BwH9d9FI1a9JiB<3gbuS@>|9^!n#0+<0;_cv!*L*!JHrQ4GB zJo82~QE+-V<>0_Jw-&5urm4N*Y1zDqFZk=NZ>vY+?NcO-{|jA_FAqeVNpXD_(nQG# zosJ$u_oMHOl*S4!!5Q48DliNvPU9BSM4sF*5Gv@0#3Ys2Q$W$YA`TXm7^huQ-C5$U z=U7+aG^t+Q0gRM>$1v^Z2VhIJI?p0^Y#9E~107Su6ZED)F3vOS!EBh9^M4!zim#_z zA@}v#dy)&_a%_pDb5PmpC`*p#qHbMK5hT>91|&w=R4)56YornhkkJ+u?bdt-eQ9|2 zSY2rciSKC-9q{C*DQCpQ5JlQAV!Ojqu)uItvBd_MzalWlw+FZEPbPQKe%o9NjyW0 z=bP^Pch6!Mmzn8c|NmuV54{XOBK&U4?VnjN8^3C3wF*qclO&DD-I!$!e<^O^k^egL z0XYrN>z8$3Pdx0egLs7#NtuFd!C5Dx?h&e$&!qmp2ZJo#BAP-c9_V-Zl?OJ{ShOjP zXVf0xP7zQ*Mex}}RhDe&AH4mHg%8jg0J?fRM1Qavb`(k9nw~w4tp6f&BG%t~^+7rJ zqd8%#`JwbsWI%C-P*VBG_Jhi%?5AESpjN0}E4Q~x&f)S3q}qxb&n|ZoQO67ckLWPF zj^^si(ck|LttUG-J1>+1si7YfAji}*qYXbzQ1BCZ!b)czh!buOGqyoTXEhVRU*nAa zniH4L|2Gmkd*BLmwx}!4pW+W^#Kp(JX4J@tpIl{1E9!SansiSV zSxK%zOFUXvR?6g0`z}Gsbw9qH2V(hjF5Qo;fOhz7zg-z-HMLL>!e7_dU%gvDCL-Fc zf>APH`7}YrH-IC{`T2iL3b)LEtURp_@A!et>Fvty@%uB+qX$lf4w;$YFfr?nUPEEE zhdF^5Bs}aLb4_><2^pUp`QdF>-L2vTT4=lY)MOuplYx0T=5=vtCT05DlxirTZo-xF z+U~<}ah*qyk{^)3qH?oDoo4#&rwtX}h2OmPxk_{*ts??usOIahFjZ05Cm<$-B&azq z5(?FxEd>6H`GBL~x*1ygzpp9Y2UNS!igz4MN9|mO!2DD=l+t7_QWG#5s6Mu&vgF{4 zk%p2x9%4hRT7&29QRXr48&@BeYU@A|a2j%!^j&ib9z@K^qjjn*0)l8CcF+naU^Xg+Z|LZfKY zP5=3Ibc?#G+A?yf?b|{2Q~y2(-)8Hd2_;A&d%xPlT<1qngM#T=AmQuUKXc%VGE=Kz zk3spk?7OJDw0m8nW^GIG55$0TC6l@;&%H8sbi#_EpIWujV9S8|D@@~KJ*sg+9V(W- z4MaH0%OJ;|CiXL9gTx#!6&1-+e8jAO7ytV$HeJ@+-z>?C3bgeQ(xSXlFQPE0M2)3X zZ~IJU1^jb=v!RVp`1z^EH_Px9{IU7Ae|cr)W1zZ_M0?9!$u}Tn)K0nwY76U8W#?vs z_eZhoqqchz4BlG|nS1CQwp*eD+w@bHOY_2_2&;&>RNnHsxFiUPi`;L@7|Gob@xKG5 zJYlhIkgJ&B66P!4?zK6eR@U06SW5pqi2kvQO7)x6QyM^`<><3w@D3CLRO`g2{2Yb#T(Ce2;m`8tX& zKHND`O+gkD+&cvf;Dn=l;w3>LkYmbnBNu;#&>5BT z+nBU~l8(!}7k=tl9hR zEAvLvtZk{6g#GL}s5$YEsuq`gJjZFjNjSy~9FE0rx@-FeF$-V=1FreO0y>DKtnQS~ zyEt$eR8E%iMaA5FE@;f$`6~Sk28zA<72{`gZq&e==LTDaqpg|J8-MIZ!Up=zZa1w* zY>A_{P=Eq~s<~wwd@HiFwVY8#VAoh1d_{Ga$GMnNcm|;9Iy=k5F#G|RgAazJKXw~+ zts+)qk|y&gnZa%w6g+6yeEK#)1YXZ6I*i#o@3;1{nFbzjByZC=tCGWbXt|o48nI3#> zY>f{g57~M&l{|fXV=s~J^3l}v>Hgl9Ra%e0uzl%~nIj?dWx8zyMOhbSk}*oNFR%g!8ltU2vjSLqEpp6c;F%(=DULV+rj`|F7WDTHXu&8hI%VtdUP!f~s}wNUr3 z)mCCH`h!iuUBj)OmgM?l^G+6;AXc{@?>CBQsknFkJ|jyGuzc_N?tzHtZ&E2TTyM|U zazWIO?h{d~$PhDp_0syaH%R?Ym zMqJXJ7^ZK%WzyT)zh0Wy|GDCmZ|mo)B@a%I zwDm3(fI%DRf3hdpTUduSr#&0E6gghNN| z=Pl=Au53}IqRd>h2WyyT_%Ml}HinT%Rjo@)&nK0`JI5}zRwCXh zkv_;Nd9k^~0-X_wxeN%RE&`y<+qRm!pzgNS6S7SfYB6Q)0X{#2nilwdi8w4sHn@bW z^g-9{Wzf>avKX1)qg#B)Gc(~m#p#aG4663K->KbH_jQ%G;Nr*IE_p(ACk{jbiw41azG#;Fg3w;-qR8{vV4be|4ZCDrY%fo}CZBKFbo65i7E#1##kqX?!D}a^c`wI~Z zmT2RMja$L1FQeb2|2*X?7T8%Uc8ccv3}xE9pvW^7^N}Te^$*o!!`?b6MN(M6p$jCv z3d>~sKlU5)RwbVm{425R>e4x@BXs;@dSvft7C4+=tW|9F?$<(4$Gyu;qShQFEKxWGufMHL;)X&3q4s-UPwj+|EtTDmz?~)~PRF8!9*3 z_1ZFSK3ohNO#U8L+We&I=rF9^PO41)_=Ngl(B2CHq~nn}#d6^3gk|?;t?s2qg+k{c zfM{wsWjVUY7FU;q!#KRlI#>FJh>hdZE|*T3Nuzq^)7NJm({)MQ?919nrzI#zlM}Ot zm!~OL7pFy&+l$3m@EVq4KP9Zy)=p-9PxoPUctj`0xwx{5^=Vjt@b-A=jay>O%)d+B z9LQz%o2D(71!%|i;bgx-SWlGTLCa}RrO-zhz zGjLj_PI0I7e=9_0v^|p_Y|n8u$K6QhsD_m)8+^W0F5d zo^?xz9Ps}YYsDAonUr<%HD~AtY^C`3!S2ZJH;Sm;T9iM^gq`a#2L&r(vZTotjI*OYzy&mH2$ZY3&c5 zHz0ARNxl9Fr8p03epv9Qdjt2@z!PJMl) z#+j|`FTyu7+utQT{$^YL%~P4yRN_<8V`ex{+!s*Fd*(oKVHfrJh=5$n+u3A3-{lBf z(aUq=%klREejr@3%c_7aHZr;+R`_rgf0;|s@=ubKl=5pl@(QfkhgJ*ElcrOv{w z5Dh(f+MsAl$JR}1B9QPC(Alw=y-G!w;bNWiz4)8Op4!Bpu~3V=psG7!PExc;n^!C| z+a}qbpghR0AEhUD^^erTRm#LB#$8SAIE)F7-vEJxBUgD~b-`<&H11ctT5^gA`YDGZ zF5W)+JdmJC7x9X&%lk*}P2xI5ZNG&-O%Itv64$-X?MlOs)((aT-{?DXg&!3$g|H*% z47MaaTO*xD=t9z;@hgs+oV#%7uYEYVp>yI9_#q=l8ZPy&YRXEqYlpMl$EuS^;P&4s z+aQLr<|93ZsOAV_LhG|~pLcDNbGAxKg<;Q%F46*5`NN}#o87(=C>eJ&OZ+fu?nyXU zEpBxYJL@`AS;~YO)~PnUbbaD>d$S}UgL7x+yd<`mMvM@+E6?4HQuV$vqf*atwVCX3 zX>R4ZZI+NJM~L!|G)+)@srE*9;=j3`0l>o^0hJG=03j*JY?G(zO#pFdR`*-C^?_nP z^Z4UE$D_vUlWJe`8>dtaA?W#EP0|u6az>cwD<#^}sfrjjsqu|-?}8dlyYp2 z=nIHDT$T(F9z8pmDxceOF*tAOuKgf%kRza{=gPC#x>O%_7nsKl^aE5HA)@bB>;B-~ zAK3g)H#KdM+CLOMkADbE>_>z2O9En@0Gag6m5!`Z**(bgZj?WR0| z35UQ1tB0i{i$PM))kr}V*yx|H(Sj((;g?HeIEvef%zaVuqOV{9JJiuZI0^tDMT5je z!+P(YKlRv;hl#US;jAVKF$7^Mvh-b)1QVr6qd@_`^%otpEzi;R>I1hp_(#s(+JD$) zU1P5cGraa`SZ_iu0iO{#AV6~4N@nO4OaM{7weDO5K-t?B zba9YY$wp!Q2f=a&kXtqxwT4zt=#Y}fr4P^p)e8c&_KX_DU)$HCCNgi)s zO76={L^UciH;Q74AE)bwz^8j}_ov^0c*wyYfx)x|uw$WpP#tCMsi1c}&ZKEC6PoGNPopCNrYc>} z>qA;0-+^jfR|7sb);|vR`*9m4&KMNouvDb}4X?pp;VY-*6>^{&+7rOhdMkio=4{bH8m+`AsM|K8!jfWAD9S|WO`4kmYvFJRC0 z0Iwf40_*`kwPyyq7ttak7*?dtg%1oi9R&khLdGV74tnFOpQX^ZnMwcYh5AjT$(WBt zuswF<#!&^S79!NwaMyyF`HTjSHd&-p*B~wTANB?A>>lcbmYUGSEtdu~P;+<6 z%Zcz24aoy66Z+6^hl!|)Y~7dpmnIyl)au4UE`Q3LkU`h?H>w(j@XqRh(|v4rehRfaA!%8UF?pJ^CMs%oLrXyZJn#-tFCi6zwn3 zb2lc>YNST-K}Y*9uVUHAXeA#+Y%&Fb@5FPmg;MNK%6(({h1T8;-hepEf)8q2zacL^ z**edPhkDxYeK)07c?ICol<4-D#ql4LSl!yd%?rj%?kR8>fJ~%@X1FCZ*F>e5er7m9 zGhp1w0W!lB-xpKn9`I2x=&oHjB!U2Nn{1!DJV*Lmr~2(>z3+(tGG5{Q;gUVU5UvXD z=($8S#@dNbeHZ^apJ|Cbm>%;M|K=|KG!-+t$s=Izf??NQYIAs19E*ufG_O7HSpl=k z5GN8N&WUBXtE)sp2au)NmjKX|W;jzOT>7OTFaCW6qE}Xrnc-iI-vdv})4VOVo;!f2 z)M?usFIjS1Y65Kt3~@;m0AX*XxWgrkwJ8@Xwp_+b5fxry-z-M(90ydEogh<6m;h~* zQ!rG{jee$qZkXGN2h#_@(}Jv{7(H5wH;`OY{Q|i5wDf5L8?g*a;1Z@4K-HRFgH~mH zA2C2>-qN8Od6G$e-Ae9LO zK!*QMHQ-WrJZAv?ZVX@f9Sjic{3Rk24&6E)i{Fzn^(!eac(15BW8Ji-o41Pd6UZ)G zW&PY|t;ArdHumSs^Z77ZBSvr}U_>HOt>zGypnFA_@7}MBJuBMz%`cnCQ-wY|!S2Va zT4=-amFroxB1Ji-em7j?WnSEA$;osO^!3xB}@PEh2ho5In^cePqhS~L~MVN zFKhCH>oR9;;+V<^8&tRos<@%1QZ=gO3}M)+u*qSAF?qDLx>e25@IJYj?AHgRG2l1M zz`cX{=iSZG@2q%;!Yp)g0td3dHZ9kC5j{*ScRau=&$%WA*C;!ZHgRla#5c$P@8qOA zMV=yFrrzz{v=#H~Mfk~=uWh~#+uqbe*ZE?w`e6as)DNr=OaCDz9WxraU2^?>nhDB# z>Op!J+D+PF{f#kY+b*&U6R-3o7h)yDPLs;PW|hdko1pB;y|CcHBtx!2eH9dt z#qV#et^+1SjsA)whQGD<>+9V>C{}{=aX>^%tcZ=7ugGd8z4pv30CG4)mqwmMfS!tT zp;JArfIBK90v4DB<}GYx0)7?Y_X1j~XKe;SEe7KZf_cqK0DdEn%kQi1T-Tf z#R*s!<^_xZ(Ff_*%rnURR^hvoHo$;?(atFO7^nXDVv0YkOrl1^-i<|3lDVF#h+(Q^ z6nUysfBQl~gIJ;t6LKH+p3Hx=gVIIf@xrdQ48mLw1I|EyO%MwWam%n7O=93T=yyiy z&AynBl9ggm)0KRO1$wo^2_vZql0&MHnXf?~w;nVm&$`2_!7> zbG$mM2-rTCCfxAmsaxghA3!Ylf`D3Ktp@0wTC#~)uCU4e;X z=XUimh+R}0Qi#`(*0?;C7{n4e6O2xsr)~nJ(ZapvOAaq2e%e{CQt}a``WE#zo;blA z180|1%7!nWyKBzHOD0Xw=mEb1e|&pzpoMKYv%R#AwexwJm~TnXwwU3%-f-mUj;BFX zTx;}TeLUz=rsTPSg9qV>dmSOakxRuG*; zH@_LM05h8|cKmgiM4Bpp!z>njm2#L?JaLrIet4h=OnIbAOt7fwNe4@dJIH6P4{B~- z>!DNHoI0DEYt6Fe4<#l1J2m`@qJoWUhr(*E?li5<&^+PaEDRJcDq{ePe#z|4vuFd) z4mGZnO8xhQP#h^o`lQMY@%UW@IsC4=+F|gQH4_HKs;mxqo(Ydpt`rT|nTUcC@l8ab zjKA-x5f_fDU7o+pk^6b?nfv+D!wLr*@5m#%=|#2Z8<3f=CXhFr6yJj@@s_*C8E4;!*h>v?!1ZyJ8^VnI?g&i85y@Lv5}F6pUJGGaC^C{H>{)_`lCVPpa! zHc1BG*#f8!9fp?h;5<_)Mwpqtgf#?$@7Y3&gIV5 zx6d3F{TV!fht{dO($|i~+552Nth#YqCfP zBF`LYc`&5UmkU09MOC)1VQCBx92ri(2g=a|0?AN8bRg`VR$GbMSgcy4rjz&1CVA=9 z%o{Qqc(#1NOM(Gr8FHYYk5`8{oO2My36C~CxHET&2Hgej4JAs0 zsGHZw@8a@<9;9id?mCvUS<6eNZL+NH|QSBID+x@h;J5YlI^6?ZExhbL}tR zTv*hg{z&AX!sg_xMwEkMn`KA##VkuiRK!Z+A7D^&{t)gFQIJGUHu7WbdfLunFl))& z#XNj&ev`wkiE`mqhiDQT9x^If!1=4GvBj8y;e#uC7RU?@kAm4Vg}pzs&`e~rq1j1^ zkvWLsI?i-{84wxW>xl=D&n53rZY-ce)0ece*vCb5m&O4vmh@eIG&a7Je$k*Gn(YNP`FzE)_gMkf*qvbLw zWrjlkISYD@(Z>MmMveXo5I}=cByG+vijRhSI{I%8uBY%B{KV5^6}p!7yenbe1*kMn z#jWkc3<4Y|<5_@VbB6Rl{6-Ib27x^ z4;kyL`hf2W5sNvGfvj#?TGoEJDZ5MsDPWUZWjdHek-7Gt{W)sZxC1t-5%RvIoVw|x zb+kTAVBV6wW!U2b8-3x((fSJ#XUN*Y*hK#%dAB05$@HU)Z;)2@)BNA1@rKwQD(Fm5})oIDpoJ(GjD}Tt$gUTJ!XBbo=u?(cE29C49 zjE}hGUuy3&qxJj$`aa&J$`Bd!#Sgf2w~ju2dd&80X?TsDP#~nfa_aAtNthB+x5Y=z zXucV=bY4gwB8ti4c#6s-X`szBxmp)+MPO4tKLT<@^2yohIYEetv4E9O6dwq1&hEaQ z4sZX5ue%G^0Mw)r$U0d#Gz{g?FDH}@e-{tg7-OyCNMEsaxw=7%xt;?4IbdO@-oD6%XP{FZ?16u*YFChna?00@oNuK_pUe5zi>)7(o&E} z8{91WL9=sA#eVl(2?)ddXcYOhh0o#gM`{PYEWC*!|EhoAz|di&W+HF7;~Br`*@r_x zFYqB27ooR4fo<0KHUj2=8WgAm3eL|rq1YDN*Q1^T?I(IJHR7p2mlU&nV@vf)kLgWk z=-`@ZSCO6C?2DJQ?W;JDa>#Rh;Bqw#6DtjCT6$=x^l1l_fOQsvqPpM6?A6D|ry=2D z6xnE4@6@oV(02GVne=T90**2;qODz7UPvl@yuBg_OfYQGcaFVaNOTFc*txMC}dRat> zCNjxaMm+Sg{rLsiZjYZ^-Ks>irmoM192mQ8o!1HogoYD`KUM(V!=G8bB6C)}0SDGs z7Gj$Yt!>qFIiNS72F?i8?y1&eYEZIvE%2qAJSp^SJx{j+DatDs4CDj%pIW)9TjPqi zphcQ!QU8#K63t(lOVkrFsN%xw;1a&ZR0R38IzNK#-oNG2q`XA#_I~O>!)xUxHz^WUl%r4O|R=TfHGQ{r15ZJSw;u$T&%)3?C^eltmC{EiglMPP2coOgm z`?DtSt9nFJTjM?VlVIBf)o>f zwE{NdSR}6MK0pB4%0sFGuVk^j&B9n**d3)@j<)6oM;n-LA)=WPGx+IortaQA)v}8< z;D%f?DvN5r($i?P&VuS~7BoabJ;}xPOub;6E5A<4Y_1jsrJz7F9tb*0E=HDgk8g<# z{`+GC(}&04K1qAHVdn!hmdGC>UsuA?WslhMKLC#XN*q`EzC|gsG=k$3 zgK%(BDfDaORpcd(zVh0-SF>M9Z*V)or;fi~GS<6Sp>{g4^G8H~RtSI1XIWs<0aKj3 zlSCaLTJnFY%)c06L$)e8Jvn*6z=c|@KWkLH!e?q&yuOOf56F@&FAG#$NH;vx^wA_a zVF?<-doo#qY|~(i?+u7XRup)vK!ypj9}{2>N8 zfL&@@>snib1!f$*^_x%_!<5|B=T^{94b~yEP!y%M)=EWOjs=>$YH4n4D8!iV@M~5pO-VYnP12y1g-KY!x zjbbbABm^#1_X+;*Ag+|JwHR zIS%{hgUJEd)Dg7(!P8nkPwl^^#QwEH9-$WO6x3y_p6DrFvaBmHLYEn}(q`-+@O=Ae zM)u;rZ7?C;dcmkA$l?w955M_knt%5K2;GpKr_F(o^79|vd=mtu{yBW=l`v>Vl#~U4 zumwJ^^ej_%i5CBWe81Fq!$+a~xar(!QQTourK6|iopbLsPlAGAe?dJ>=Z^62+|m3*RsP;e7br|TjW>|dr=>!}oZ(OBehPY@gc za~=BHl2L_X7hupAf@R(=?ZRo1B(VN;&m88jH%~P|kI1h)qTPhPBzwgKmY~~}ncAje zZ%_7zla4VJrI4h%4m6_M?mOD+$ILoa6|hXYqJaLnL~f@5&A$Bg51m@`WAG;ieG92E z4tqWKOAptyR{*S-_m_;~Wu9!xLhbUOJ6DVu&&r0Ls`;8JUxgnv!Zjf#a}ht&b4A0| z+*??nP-wKW2hcczG0djl<~g@wBKSX*@QyuIKOe~r&P>h~*)3VAJRu)KANJY0dlUM3 zj6rt!(@U0AJ-AgO^@AmyB~Oj%Xh1qB++p^v0Ir5s`aZij-okAsTo`z5g=igA=Bnu6W*Ty4f zIi!T*xCC9_4Kbp#ap5+$I?+mRH=;Xz)43k?LU>A~AN~~$Rj4j!JEC-*70D5~GMDi& zFU`&d`Q@uL2WW!muKW1uK6qHblM#b8tS|^P$zxg8;z95aMk2R*JA8wHK`p5#P;1G9 zZyR6%dimbZAPSdaq$7i-vOF*M8cILMhncgXzMnDP+6dn?1&X=0_bTW`m0Y(5uQ0iV zB3kXsb8lw)P4sD%8%U5L>UP5d8@I^R(eP_&bI~qmS9~X?au`4ll+{NtwN)i~36TuW zvLHMTj~13c7cAw+3x~}lcB&~*@^HpcxE;pjsHwX`JrS`d{1hrLP3g2Mwjs*y-4Z$ge}_G5&-zpig)RIXSmlhCo+iW|KCXM_mu6O7e2l zdsOQRrmRuZiZzxSx~YwQQ*e~;+I)wp2bLy0WR^stnR zCiyv3P~OG@kqlb>9<*wJX6$7}fG_3^Ec7wer`f}+*=q;OFlYsoQu1j2gP3Wq7Fenj zUXy|E*tLGM6xTeb|*@8as*X z7Sxc`#_HRWwF2m1o8Le!z~-8FqtfEBf1(WY^h!Sr%`Zu}dw%-G?~3gGex@$;pmLW5 zMA?>reAiDpMz;KNP6Izh!ts_q9Q12Jl)U-vUyAgbYcvWGu-J9uLII=NA@4Vqvl?b_ zSCH$K{i^F_H44)cwK0X_ejtfa2lu~|GmZ|874Ih))SF57^p9IVe%dT1Pu9kxle4G| zU4+&OYZcvkbqg|c+P}Qqjm4T5Dnomhie@6Js!l7Zt?>*RQ_G30-JBi!1va7AZxwAT z^1N%x`(k`2FMm{J5JPI~H30`?Cvg1fp97AV49 zR5Ng%Bqsa|apG5ULg`tbaLII{{=2pm`(@pKq@klTllOsQ{|^tzTw6a8+8;T>?&g~F z?+ATHk`^@CXdW63Re1fZcR{A>7ru{=k7I|+O5j0imQ(5<;cdA;#DXmhk(zqhi zMw4vKd2jo5)Q07@~F0Yt2aY zb;%QI$ARje|C=sl&A8qj2MbGd8`)2-vR5xrdKfq&a@79t?}8>WGKpS!H~w~Rf)plneuS;stfYrEjgObuHd>8TvDYZNV;D(_{=m z)BB#Z;y=F!vj)ES283?|e=LE|cO}L4lOCYrU(@T@hDd0A@Ej5xHuCEh! zfPoSvoLT|a>H&6udh~jhR^mR5G;0bIF-a#&oq@aMRhpz%AZOc z+$`7@2Y&*VV(tA~LLLepLXD+)d&F0WfOL|><`G3hRrh*2*y=rLUm}pRR;L;`sL6_7 zN_JOwHj4n#+k5?wWB7%CGmr`59EMxpBCW3p7SZt)AeQ-F=qYa_?%@aMb4?St?C+*5 z-+cVd28Wa?-av$1;p{W0w16rE{38!H2RorsfUj!N{9qb7Ew`vxTuRYqeTPCxe|C8#dvz{u5i_s;d?;9pYw z)pFYH9DAiL_))hVwQhy}?^kXBdP5CLm(4WY9q@R>iwBackJ4{iXl$k*STB4Hj&)2A51X6n)a#rLx>p zx12qv+=fE`Q?KT<6+FNKarEd7tcNn&+z)wf-y;GV>l(?wI({Qbt>2N>3?Mk=(M|W+ z9l+aS9?EI8Apv+ers%#*iRto0^uZJ8D1CWPZkGzIu+3bWjW!fTp$lCfcLOKjLH*Qs zAl*WS#?v6l0u80regbHlPC*s?plW+)#Vq)f!i!}*s4wE8iF|?FlO)W2K}NS_77ald z4r*joxz2$WQQ*8uHLvZ@hCMJN2!R4TEr~YDAa*qm4(Yw#zn}T+Hn1gy_o@G2pq^cJ z{@}u$v1MwSINQDY4?Rl9a_Pffj)C_(Kmthe?&|@Lt{1IU6>9F%q@=JE+|%sVgR|9o zr}##n+qZ-2kHu&(NwtqS6MDi6``>l7KYcu5=xvr(ZxTQ~vAAFNgS;!$(fe`Z146=s zO8r4Dr9kHjmDrH9;!!nk{6}_%QD^>yghVB5&Uq~3XaYN~S4V+ZK2OX{(W{qLttXr? z^&WHW<*a#NfUmpJsE2fsI`NjVMFX2M|LM+E8XToACs!m}M}K@Ota8d#YJZ1`Y=Ex#j7R&1;hbg$awUWkv ztF|Qi%x7uYK1t;MR_%q^{v$?%b}glhZ4gisMk9Lv9}bgg2O z9uE1ukxM66yz!X4Klozfcb$BdC|gi6@f)(K{U_Ah#yVo=S6iB4AJ(fq*W%!Y8g3tM z6!LmwAX1#ZmpC<#Hn&*}yhaJk-~-IXh>TB_Gun&4ZiubuT)yS1HmrNQCPFwo6B!{_e?~2xu5||zXytdh+GfJ=N&N9CBP>Xq zyPOp7AE&#Z?~M#3P23iF*VaDVbdHlUa8J%O9VxJEws6@K$2T3&>u$5dL}wRUt32@i%Z z36#In!ovl{DuEK$IoaA>%v%Z_tkoU+9`*9N3r;`jEg z`sHSY+=A-pzcy9~*NSLkW3z#1AfbBfS2a}0aj@@_ehRa0!7cON92>pyJN&#=LL z+h{v#$Rm(X`p#Edj3Bt9A;}YrP0OF4bNrK-+bNLQFEx@9ly)rH)?kqXPX!KTAROWW_TZ`I*t8x#WF>MC~X=?_$LQ#m&6LpF<+}@yDz0} zg!~5l;&t{uOkXJLnBsKbp+5qgEzEkQL+0TpUB7Cbil*9B3uvJk1JGr7?vQ(dz7j zd(W1pSAFi(gya}K_n?_gAQcc+_xuWU5xyu5G=z&=EE>F<2cB}sG^WQ6dxwzl$_YFTwI zc(d%{=9@D`)h&g#HzsyRtpshL2J)IHDsz^-O4`GF{5*TMpv>5-U_)=?d>Dd1ix2JI zN_<+SdJ$9Q719eZu|$tBr0oF^&$faB?`}h$Jq8YyHUezci#pR*tw8y(#g2xN;vs>} z+ME{U<_H>ThsNF(&ewxYac|G7&7ncJA~KyXGzlzz#(dZ~ILYWS?5aQg>$tRzUSD<> zYPc8Om{1qZijJsNf5-IgzeNqs_MAc7m_^Ad3{g6$_sK@oD365Zai7yKDYof@S{fo~ zrrJo7TTmJDeD-@yZOh`m!p1ZyA+A|1|@003Qy?Bn1O z@kvRbglL`VR^8HBl>G0XI~?flh#5;LD*tz`iU!v|9|^3k zjpFShZh;@(utVW8?!3BDzg<0UytVdb$^uz@U?7(7pq!dt%r+yAt91PCLv>4ULwFT{ zst86M+l~bwFCNma?EKZ39Aq%om`BObj~}H+AC1H|n^t4vIX(W^b_43Leb7^MgUeCy zQ8911E}Lo8fq@HZLDzwxn2UJw2ge3z3F%SS!nvjurRN5o#~(Dm76pdTDRJpQ=u;pp z5MP&B(_ZWjx+O!kNes2LzHM2T87>@C^Ldk^d99`la_!ZYr-FsCr^!>3G{Es_ zYs_wBZuoBAX)*un5>RNM{h!m}lR;lOa$1HqkY-oAfFLTMbsg=KSBx(SephoJ>37D0 z6dxzXMxvY~o`C`YBDd-#U0(~l&DX|F%x*`vk~sVle(xv~PuC*|*Wo;3jSR%L6d84M ztE=@k5zs?;@=poH`!k3?oDH)=PG0{EfO!PQCzRS)EioesEV4bVW@AIK%hF#@c%rEc zWFmP~OoJXnMq>+-dLOYHGF%tXp!{*w)XwAjp1c*CwV5pyA!r z7<48{#3iMNI61LJAhs-n^$;FX$_9mnwrjzPQYE2@c2f13`Ihz!rUV5FMA2Ly2((3S5>d2*Jx{DBTF0TjHq}{2t6VG zz$b-X5tPky^#!g|^|n%=I5#7%r^eh#pXcNz0a}U|IC;|BxlYPJQK|QhOSh7U%ZCZl znZ>qqK-)r+0rHY*>lCA6kY*W!bC6B7fS12mL|A4x4*I9@`d-(WHrszRo$k_z^S9ea zKbBjDbZBSd@!9P^&_u(M+A@@oHK|CzCA}87#$H6O>Ts;1v`)`JBnD4AtRl$t`Vm~o zANR`vJP0#dG5x_D9ukT44idwt&&ZDQcKXT(aR z5w|^y(8TNcKfPXC!c=+~Ht-su=6Z%Eo`Jdf%Jk29cIyrdv23ow6+!6x53XDH{iO0x z9uuOyS1-h`Aq%a%W4i-U%|F0b>&%!3i(ZW*Ht?7l9uFwI<2?bWFw)CgBa%Rt7p99c zCu(d|*b?_1R^g1rhX$QdL2#vBBeJf*U&)*SYMXCEW41EAe~Ng(5LmzR%kp`(Dg-kW z0q`&G(#G1k7-{{+Lu3jFanwM}w(9NyZnqN9Cw$+eQh0*VE)dwa)=McWYmxR|^wn7~ z%_U}hsD??sHGArSz~_?ZoCAv@o+m2>9YOj=HcgP5-O+is_9f07Y=)(_|7jJ$i_h^tVjC=9YKaU4;H!|J&(fR7BYhV zU38C2=0iY6rz}gOKm)q5y#5e^4j%6R`amzJ3l~-FdGp*oAhd)7SdvC4BNaiO6$eet zy}I@T!Sh|aF*!(JGmHWciger1`@>Fy6V`6LXe3KfNa}+c*8ZfMWV@z#6U8T6SQ9{q za*9H}z%cfeE@(JAkQm}M7HipBdZ_8VNZk{lDOnjTT@W`EPE zG6Ogw4{QY;h(+~2g1@{~!mP?7*7hgc83dyr%SZ}9-3v-9G1NMBYM-NSw_u}d^Ao>@ z%sRQ_w#JEO#kh;*)f5x7??7*#h~gvg(*&>P2fDHvz@E5CT?1Zw*~PU`B0g*P9V{|< zN@|4>VYq&!!@Futf*<>#PqOL0OCE;o1ZrgtKlm57*W1Sg#)T3DD9-(e(P-&&Br~W0 z8twtr$qNArLyc*Br*6z?Mp$2e9E{kdF`ODJCQKb&Jj*GZg&t>{Q<4I(sd(-by4gHx zT?p8b*xiNs^jM7TGD0gZiASAnVUte6j9 zA6wzyOK$&3ey8(`jMgCk)`yN33t}e`?e9$ z8tP2!Dv#Hpexj&A)LEd0rxZAku~sy~{&2!z>BL#lO^%f@AvNYe?0(Tc3(z#J5ibZQ zwN_KGe5SAmbeFozpzxkUSw*PKyU%ug(sI~br9K1nbzm^x)HE;aUj;Bnid5mQ?Qs6J z0tO*U=eVd!LNE|RM(Mqj=MC5n_1gufHdU!_l~X~8C*G`M7~vyvp;#mls#K#E`$#VxxR%=T;X?Nq(Ii6Tz`Jz@iZF4IoyI z+T&N#$l9f~0&^NQ=?S;4d2fz9>OX0e&hz=c1JLEhglIpJjy2kTmlPpRW6Gky`8xtTSyB+mhEctm^zx;1NymGNW`6M;kS&!v2fWS!6#72DDk#!7e z*|al#5ZRyrN4cYb8RQ0lJ<7#{`w;sV+9$(??1t@@WO$sI8XUmix%-eyb_fFR_cj20 z6e9+gV5A&8E+DRWSgR7ZGLD7B^nc{J0sFsKUIAdG)A~Lu%#_Fsd{rQ)G7N4(pK{_= z6A7#%$fE)XmXN1T_KL${+UeCF0MAJND`z5{tVYVUSLrQG2HEAOe(ZTuc~8b}Oxo@D zPKCQ;&DTNaQ~1)sJIB_p^#d;$6hP9I!=wVY6nn{LIxRp(r=sEK9&EEHo6*Vx#5EEgWYIh|K z=7X4<4Xg~}i4Jp`j4qRp%lqEw)|1-^4L`aM%?Jqw4|Tf@cT=ys7Y_5(f@R?PkA5N5 zG2ukZv@YPXQRDIQbU8h+t4m6DHAG*YoSw?@p8saKsklva@2zzr_l0-;nQ)bvL1tHJ zdyLx|8k83%SUJwkt5bDyVh6%?ZFCe0e>_`bV1B$e`vIoP(53TZP0GIYhmj0Uh7HFz z#qapgcNW<=rO5U-Id2oIE!$5xml6^Wb{$Yq1@EIh`v1k1K$kT%z{k~H_oS~%;9pB{ z9rL@}yx;r+b?R4#?&oHBEy!?a1O0J3RpG(EDx}O*Q3A$8G{iDHcE5?C*xsZoTJr}H zr5a%~g<;blhDCo5%t!`fea#>h}6JA54LEeNPN3})dA-MhbR{A5XL0{ZLr?K9(=pb<@{@R zqW0y*@@5YVFmt3tebnM~Ps_e)VnE#0;|nqNq7fMTQGmJ4%*}w;y_k5|uw#z{7&ut} zCMBb3avNdU4P zHL{8ZK%q;!RGf6iAv^U4w=~r>CM@Vj2Mc6g7Xa?yC~jv;d%5OwXswD08D{n%0}31k zsO7HGD$abZ2uAiu{YLf0MgFwFhpzA3A|G1Q=VwL?zmV1ZeAf(8ddc_W0~cgY`26@Q zxj+v(!T0>N1HS7E?$FGWp4WVG_^ZR7T9pBgyr(x)gNL`?1(T1gq4X7WZk{h{bpgsZ zf$o}O-^To(UA=Ww{uX1B5{;{maD2P_*LJKH_M@^Sb7~L3#7>^NIM`@aasw2=^#*jv zFZjONa!kOtE1?DMW3V56qi860Ln&Drdimwl`W-%Xe= zJlh9yS0;k}?l@#XHgxpu4My16BOe=dN>EzV{!>1*ZO*^f#^H7iVEw8f&r~v=P&IgL zZJk_q$qb1up7D=N@C~-%i>Fy6c-s^hcYu)LW{AzEW@>eW9zThD9AUlo+w(xk1^6p= zh}X9GeiK?P85YLIe#4*H-&|Ltp7~6>zJNAifoKxkA36j7wpF1Uw9eBTWr~i3?K0s)gCv5_!FBNs z<1)+1Jj`Gbk6o#HYb?Dze9+zUuQ2&=&ymIGPYap?v-|(!>a7E!e7^9}cS)5}P(e~a zK|o57E=5sMO1evw?p%pQ6r=>CJCyEjSU`}J?pnH=1?fABpYQMf?w$V>*!S$bGjq;) z&U2pO5IvB3Wij(6tCvyLYA&WKeerc_sXmn{4TBsPXaN2B3m?J`?ZLi2u(ejN)_F1s z4j|09yF3x8g-Ix(u3c?@rSw!9k@dO~b2m;p%f?zcMXf+EZAKh#Gc)FUTr)dWJNmlO zZ?QBuexl=sXUB@s6cK{{&F`61g3jzm@GaftKT7J5#E$EWGdp|bBv!56_cDB+6FCvk zR(Qlh;SQg1C^)&5tVpEOVoLBKH=dkA!b`43&vI$D^I3tSNVcL|{VJX_1J+wINYk0#i2{U@W*jephN(g0mKqg6s1gZ^3tFBSsgphES(*63exs4Bl&?vwGEZ9Mgh$%`tIQ!ZrR zwqZk+{~f7wqxHA=rY@|BRD%(@=Ni|b4|6imWUcXEwxAwJwB>d=Vk4&%f{ zY%cpz0+%_Jd@qMe1(!Tn8f(yP>7Oh#l*>X}JfmnO2ZR1rq^h!XEu!vpPgp+Jv^fdN zTK+LBwSNovay`9U)8zQCg(ky?tAYi7#^#xL5zyr&M3HG7wzDMo98;hf)DPIog4T|F z`UMGoM+8~$)BF{i?_&gIB$B~`050CuQ2YdXh1MC9ChQWJj$Jj3dN*U9;9YRm1JQt3 z&(B-F80rE4@qj;jDL!&)n9`>7)}zy-Fame6*_AD(OXQvH9E4+rn8C%Q_~T z|F{2(%u=!e=kw&!CWl6-+L{g@A3}X@+1rMYw@hC{6rD7$G$(Bf-|}%`uIvK?$)Y@k zr$br%M3D+~5#7AA$uq4RQ-(C0uq+svCbqopooG0WVDcIeUF$Ny)jTv zjVHCV?Ra6;LQ9xAqieQh@o$M;g=~d@>+bYL&eDMI9SD+X@7!u*z(OLc@`wO- zN%kr>h2!$UkbSbWWaMkiCL=e=#18DQpr$=|)9&nS_BzSLb1j&}G;-c078m;6qj+Zl%dji>!A5E$b;ie8l_$y9_OZRc7Y z0&pSOG6r}9V_E?ezP-VX4j~ajJ-9A<&Yf;7h6=5u#t3p3ApXiZ_U^gTwPt}wwVHqQ zwv`sUA8I7!DG(4_au~mub=RVOl0Q*Qd(-5bT*qQDk12x~V#qRaXjZWoob2IOPS3Lq zasau9*LtzouQOm8UKl62ih*X0%c}}T2E$7m-dL!PRUENh(00OT~V3%t|V>Oiab-byrD<&J4!H@bj zIFEaqQ6tYfl7Bw5+EU9*u6Ss+xEI~5CAzCk2cQH~maf}*1iq|lpgP@W2D;s62U})X zNu^OtS${5VLb+V7_P-^4Euyc7`5HVtV~u;U%HfN**~a{;&lxGV=uGWssvaI;4GRJV zwziTEF5X7p<9!BHdWGfU{U0anU`kzp;WVgQDEa1G}<(XGrzD1D_OJ zQM>ecXYLj1NB+tRvbH^dHUEADPgM+(c&czUmDjGKEwcU6D4|>}1YRcpWdZ}J4v*iS zEq%)X*B%gSZaaq)L+SCfL{E=FPHEjsk;utP`}9V6=PlntUeb%jPPuLo^7Hqyi>p16 z(--eJL_`OzN`?L1E8$d2IH^SPjoO+^vl087<)o*NYiBhv^g1xMqeg^(G)( zd{&!(-1e2gB0dB>MFrX8`15raKl`uPP!8FPFQCHWq5|5bo;vVC<{}XSS>m3Y&I_`K z&POpanmj{(v#l+Yq7D0zLGS$g|uT;J0A>ml1QwC3G`ly%#z0x7ye+sj z5h78i2n5QH4PBAVSWj!^TT^xs(WUo@A0_@F1OQm2hAM`8@`O4vcpBDCS81`is6f0MThV zO}=$!#HoYN00~_%`8DL8h|9l!u!A|s7y?J9*?t6WP^RX*me1{2?}$p3BPNjHQAo`h z{=~Iln9x3@n`_-pN#Pg}2K}vL1E~JAh6hiWRIP|#T%}!1!v-hnm;(4j%ENgA+~#+B zi^@!wpI?&-P=~=|NWQn}YPLN!qGd8tDOWP$E_n6VOO7Ubhl9Ak5pu?Gij&h@m!ta^ zL76IE!-xdQ`#as}k1X+vOm$V#PmZKF05&3J(kqp42cl#y#6zTJu&LwF{y4jQ2K4`X z$RC?6q~T`uq~Ft_PZ5p)7j3()I~N14fd4Yf!)bejZazwR(cuu=zt!6?N5p!h1!doI@}B4mk4ffrCYTDMxxQ6l6|46-Hmz${7K8-^=>%p-|o2Wf})T z<$q63I#y)O0OQSM2E0B*k$$J^JNuMh{!+E4Lxbv!AR7G}mdci*c1=K)B?wM{%~cvH zH-1x9lcFp+b1pQ$6f|>im4+3wwv$D?zgznWhS)3#eGNnS%Z9y*B#DY758pz*;BQ-!oSlx_<_})jz&3m}F)l<~|;9 z3;3NBq2*uLgF1Xx*i1Jg-s;9zT9xy!!usO!ALH_mi^?reE zviPO4@sBOBodb4nKs}Vvp%gFhvSJCI%?&>53i97M@bA`G<lyH6k1JI zE&`yo2-ZJXX~ORG`@TJQXOkh7FcTmo#a$86g-_?x#Wih{)i2uL zS3g7L@E>>KqctWOuUFGP+B&np3m)bA`R$C()(;yl#ExYrSw0~`GnK6RNY&wlX!owg zs0^nL{+KDp0HkJA*#TH4fl=SDK_nqfuax3fvki=V7M`@afc+9K9`O>tUR zf9|Ju;%=&y?^NfQu}|y*u@@$=#zX1b<|Upuu;wQ{7Q`0ebjk}Wq@hhm%22x2%>NYY zxFT6tA8XV{fDiaqdd@`eyZR3s2rmJ#(ABiWUG z>Q?;@-!5;`CX&v|(l{0wSM?Iy~0Rj!D7QXG)O@qIp|?WSE@<1ymVa zoN)|h@~ukxZwM5sOcLZc9nu7%-JB|JHR~W$GeAzNlm3~wrbF?HhMih;4&M(Nr<#Eu z97`ECe_m?@MQ*~CynjvieIXjbKzRTOLcYm^pxcE`QlfRBJ^ONe0{Mg5-t2XVqt7y& zg;7o!92*GiJNi78);j*|T}EOQqiKii)Oaz3iScYjtRhZ5-4?w28WF*K

    =)W{VoLaWA?a-Q0H$N~@bsd^EK{ZS%4&!*9fYE9Hfe^^DOX#fNsutB|q0 zuzHv#Rd24O<%dWZB57^<0jS&Lg*h5#>Q5@YE&7MoLY&9x_FvG#t=x5$SO{_x{-$K3 zzn@dG7uv~pV_{Spb<%WS$7y0I?vlG5a%ip3CNKC$kl)g#sJjC8g&t)Jp zg`sCh`!gwKURG)UCJH4CW@_7;1VVAg&XD=VZMNR6sN@s>3V*2Lz;Dm}LiEMrBv0SE z@f{1DjGL8P_ilg5nFk*#-?4SLR*uYbrs&@i#6_I63YJK4q`Li4Anp!rds2at77l%j z9hU}k1j>5d)6>&$?KR5DCnM8`>^`ODp7|9@eCmkfXka-8r(X}F6%it>WSbp8f?&Az zW9onqB8-i__7D1Nx$c5}H@t~g(aiM4V*ie17_Gm=ig(o}?ss*s$e}eSY7*m_UT`?` zz633&J(T%R`;_*|*4y0YldJG_@8SNKm%;|#j!Wgv%K|CC^aminq#-$V%XoEP!ekQ7iF+SOWIg92 zGs_1QfM8)999P$_DHO5gE$o58xrjDMgT z^tWoiTuRQ}*Zwcj#VJfp7E`zNm?7IF_9#xS(iiJjeX7B!ThaBQa$hTPs#;i#m~HpJv-iw$k*eNY~2jT40FoRes6uWOnTPm`=$?_BK2{XF*Qh z`@rXx6kVDO+#`m1g6gk%cu`TufglTP+nj2sBSxi27uPr)o)zYD{?0P?PyeB6R4-Kf zaNK51jgut*iUdpB11Mm%T~(4~={ld0#Pg>uDCx!L>;d|OK{lC^#1076d2+Q+uhZxh zbK_$iXUPKEs(Z&1+kej%kMyeV^W`d}TXxg1 znu39b!uP-0&dtoXrIwv|kaOtmY`WnA+~850w~AfDF+vEEk51EcQ^z%xr)FD|c}MlG z>M9C{^u@%vk(*Cob#ESBgVsxfCFOx`RNl?lrHGAbU+$^(=!GBv6 zGp5A6)e?0TJ=`Mbk?;+T)*A0HJ-5d&Aoas6D5ynHd+w=vb@*ph+d8_yGWmUPRT zO0Hy9GqO+oB|ls~;t{su-s_1MYi!ag)EaJdySA+k81xdt^KT$PEFx~u#CsW9on|H@ zI`2P~FnntwqnZjrkR3>dfQnZPnb|8osOj}RN10mI|2&1I(d7h32vM8ns@o}&Z(xU1 z{;)Y}Hr5Sz8}8<^P}I5QoRXOx=G4p)HAI^Wb^76vVnfb|xT{dX4jf%{+P01+Yq*-H zQ#FJ#TnhilTA|>?4`O~n^BzX#zxJ5Vjd}C{TGEekwY0^`x;* zpUU~oq@mc<9W7JDVReL{U34++qN9si^SSIrcKx;Uk2_oNtqA=0*2mWGxiV0X)&|or zRK9FT%DzBxefK$0zG>(DdYhhS%CJl~;TF5uDm%|dPzloxqr4|Yzu8bqf0v^FZ*%!v66n^EWwd0stG7}~c&bOalvv2M zgJ`tl&u_I3`&9x0SIfotIPqwy3-o!?L#oq^0;w6iSYb6!kFJ25s?w<1{k6-PZ+Bd^ zKDMe~Ewr3AbnC&tka<`+^=$hJvij5gubt5i^sk1LT?^}1Jn~OvezSh?jB}Gy)oZ!^ zCrBS2-E=1Xdm_~5HV)@-_3t=u?u=u`(AW3-t5^QiJ-dp`82W*(p(0CSWPOGC7AS^k zwSU>c^K{LU+d-oRc|*frZ$ljLzebf-dShW?oFs9jecR(ltM0x>B85jzO5{PV;qQg= z>1IaU6pSQ7{Ij=)(d+Detutd2EbJmXeHsGB&~WKR4KCze&KZHX7H@kVc-D2nQroF7 zf7JWuh@}uZtW@hAc=`A>7v)LxEzs%gUzkX0^O~fnNS$AxHZhtu(@2Ptor%x7!(9A9 z2i!oNi96@D>|I~upN3H*#tegF(`=J^|9E3mZxutsJWZJ$lpc{|_;oj#0(UoqC| zy+789rVfxQc)w*3m8uzV7WP&1e4Dv&Wj~5dkjJY7XIR=?w4%fJOo;H_jX-{=yPx1{nH82i6erE?Bx z4#9I`x}Fs~i3S>ZRftC60vo9(8|Fx&D7lq+ zxype=>qS@|%8edlrxE<*(ckcqhZhDVk*(q&c-ZJDRmo=r9HHW3B`f8m^Swbhm*=;qp#txRn5Mn0Q7DyAkg`C+gi`K&rr)#T1cuzpvV1uMvOh zjtkGfmkt34ulR{BJ%EcHv)^njWYSg~yd&ST+Zm~=hCg>mOrdRMuR!;ip56?KXEUBp zhVfdWe%}QmfHF2Y@RfCY#Kr(}yQa|WD!A5}cAljW@wuACPQ|oMJ{J(t3@6~xy$yK=Tnh9wZorG5tj9|0`|3Z zDNzk$8-uG+?-8*Ekdr;nP4m0eE00a;PfJcX>^)rO^ApILPCL3wuLZR40radntuu<_ z>TMSG%?;K1A_pM6;ub{6Ddqjy&CxR9%6Y5~6DWJkjA%3@5`SP4IvL4d{`51&k=CZe zZQ!Nr``Ev(HLTT{0ML_2SE__0UX*O$po;mnJcfDJzK>yjOd!16_Lt|D(i*5YlBy7E zACa2;%@d;i`=&#N(*97NQ>gg$mQM$3Iw#>$6|O^m-u)661G2yFnz0M~9lvJF?u^lw z9s3&7am=OQ;>{J}LGv#O!^zp$noXS}jv9LZ9xz_WR6o*#Q`GBS@$m$N)DflAKXwOO zclTLGKH)!7DzYHVkADHwm(h;v(>(5b(bp%|tY|?t#4*NSg$;^l=lF<*mtzPH=l>kZ zRb|$Z3m2no2zp3*ls#2Fe{e^+aiw4ARGzwjp;ox|c;rQR)LQpQ)%3S2Vo%OJLU8G? z_SS&y9abyRLN(6fH~5iS-P51xsAjC_l(?{b=&5CO1p(B|-rzTV7F)eEJ=?~9Zvt+8 z>}EJl4C<9y^Cs+ciOg1csIrMka5;j7Z9<{OSJb}Pa7@Opk^J!b+@^IKg%Ud~9BAs& z*k9lI78H|M{&Nb}Ps6Vrc*vQTT6%;*&{@?~*MxmodJO;0;h|~_TBuOk!Rhx5nnq-! z-6S49wG;dB_nv_OrAirU=EHFF?8b47Ak9X>0uDYtVQepEl z#0%B$4oOko2;0jtzAz|n&(_%$91B#WePwp^SLEo^U?3r6osIf>#f@mZAgt8i`$KDI zPfJnVVDYaNsM})G;NEaHIj)1EOR`DvAM~#%Wl8>c*0W zWOi=7Tq;OSkZOR>hJz5e5A^uGIy+m(||-Tsc7XK;bN_Gt%1e-_*L*{NNuj?bMOp>er&RbSk2 zHGb~+ZzE#fD|&|)cuPpOntHq>KgV4@!PJiXS+QlX!ZfUnb(+g>4fwM0Vv@2or`dhn z_aUy0?|Z_eLqW_FYk>4s_EXL$an#=ZqCd<{$KVX;eVr}gXqKSK=;vQBo~1Ta=F(X{ z@W@TcogjB_j?yy6ayBDq^siQ5$a1$?OH}61Y=5K4X;~s2myf@@qeM#)^y_94fo-yu zeadpY%V2z+09kF`Jie_c<;nF416?L7LMqE^3FOtQI^87IG@lLxt2BI;zwx+p*B>4~ zcaF&}Hddue8P7+z>bD1~h1{4H>Wzy!7z6-;m1HWhE$n<*a1*_wtz@4rQ&3SZvWQC$H z zlq%DK_I9zg|;#6vVsGag{-W zQ%q<0mji#`sCDgErPN^M@|>mHCl&a+Ek)Dz&zx#SIBf=NKR&6VF|ef3N>+&qtkHG$ z2eXzNA3tQ9)$sS`WPp>19G}~O4hfH4b;qKC71C;q8nWu;XA{Znl4Yk0KKi^;{*2mg zXFxvuhPa(;_{_Io$`)^o!VAwd1ns0FwcOhUv3%2pV-ttWnt>Qr zhH!;-N~vqX+LW8&uHN0(CH(!MB=iwS?yUkgQisc7Im4Xl1n2QZ|3H@p`5faMzIp5C zOCS{~$Qdvy56(Q~`sP#wdQs$cxedu5@g10itT?)mW77Y?h^(<0+A97w4nJoaTaoCi zwyP!5{WAkkvny#bVr`k3rJaP2SecYVy&dzA-uf@Jk=*6aS4^auTkD zv_~Znj?1fG4yi2Xleo1qca_`WON|Qg9U8ecJN|S}tGzQ@@iQ)GP}6P3@oVN(=sFEe zj_TEd>8H_{m8aav=bZVgYCtQ^jxu7NQ|o4`56N&ESzGm752_j3elln`Ch_zSK}g(@ zul2#}2s{dZ&G$nn#@E+J~XAVZPoM7{IFjmQ|!RE|}uGhU$?f%|2 z_aw%fgMB=XWFU{jb@m&1+uIe{+%M6+#H8UMY%gTgo?&2@c36I=! z4hStZArkA8m5~%-d%regiqfu~mVtOT!wI_=b6>1f?V9{MfVh5oOo8kcDp?DEzpznm zBo}Z42x5`$Sa}R{j0L?QJ^jTku-NXdpEq6-U;7A%7;K{H=?F)lVAKtKC`^OAKQD4X z7T;D;UG8~9fSj2Jy|+>XQ+87E_-d zrl?^4Y77Dvh-1{HtVB1v=Y(LP`YGgmqrzpSJ#7{=qO{KO^zv31pL_EVP-wg&6 zj4AwJVtfrc2(cA>^2KMcc7@eFz2rP#+rGd-cxV6CZ7y0lK1h#KK{n^@=Nj6t4M!Am zvx@Ug(bja4)FhftMFsos>*$!B&(?TugxXb%PolSV-DBKbrm2QC%1;WXUaR8>C%J}{ zT!oTul;1Ydr7O_SU&|Ze|Gn3|^Tg~G`NF07_e3`b&fi&3{{B{|=uZzihLXsAyy(nt z>u}Oh!S(kPt^Iw>7Cr~lnlh-o#aImno;;|64g;LX)n|fJWIZi*bM`P}Ew6&|&gIHs zG{DVZr6DQhDw#^FxwB6Dg~awizuT>0@1U0bR3%OO15r)J5Mv6!5MmDr=<1b3+G5e$ zBRoE1HHwt$PaJ%kLPNOYs6Z!m9>3K%zM5z!%Xc@?`1FlDwu7ULG-SQsNn8z|Iu8At?=Dhee7F2@7O%wdhh^pS_P0nfn>^ zisHhhw4ZHj2^ugz2FPtsj*cY*q!X6tb0-b=F49dT^3q1sXI2?4U}aAMxGr$Fj+&DB zkU;z7hMRt1T_y6E9&UmrVwYMa>dH--%~lU;*eDA;7G7Hf%CE=oRs0x z<~aFMbuhT}>FWdhCt=AR(QQ z%`DicGA0{OhV>%9<IrEE9M9MjW^B_|%c7p0k8`<53n z1kCutoP8KCO<38xE6c9Ib^@fo$vWYW`>?i$u>KQ1=)rKv13+gE(#e<|pTsOZ>ge!r zco#tgNqz@+`92Ci2rW`c{pnbUjJkv0ECD$y6c66)l3IV|K+>3t-o`UeBFM|5_J!e2 zqph7n8|ISsuK|!F58pf^!PlaU?cn}+oWRdQ<8HIZ6^i|(vl1Q5YxX%2@uqh5X^PC* zJ3P0lbNg;s0@Ht-eR3*w8HRf5_LJPKN}-AQ@$6@F(gF=VP+D0>!R7pMm0{46Edph5 z=?E9!v(j7H`p?I2hFpCXY``pGeAIW&E*W@6&SnK)0S?to# z|2Pz^eI=AtD3ve22P`BVYd6e`vH9YNZzmb;{g4|XfL><59TL`lTdk(2G&FasTUXT< zJ+Lr(W&M6%%;~!f|0#BU^`13GWyv?f>J^R#MPeA-#+m`pd99FvR`B!e> zK-*O^3We~Y{b(4~=J@h}n(BIVwIjv&kyd$uVkx-b>9K9mF211vVOGPnIAC>1M}D3Z zM}6jj1unnI%zIdpSztg|&r1NjUI2mkl-omtu*;-EbW{*!$v6LQpd>>V(CMV~M<^mJ% zLJ0cF$-MP87}cZ5%2{;Y$nWvYl!OI;$BX8(s{HEH+m2bIDQkkMjNCWbCz>sAx89QD zAWgu`$-7Pb2kGeP0n$v4OYs$m{MDOe8_T!OBmVsHFbs_wulQW0SXy9MRXo7A{lR9^ zcNnVV=*IC$B5HqsJ#_E;17BuoP-&Z%PxB0zfYW+T%6Y|- zvLG2AmF`u`$x}HW_?yaRuPq*)Hu877O{iA!dG@|7E^CjdN7`6Upyy|pX(!}7?9X_g zq5!rW`CoH?%>t&m{{?97cXlEsvNddM(y3h0FmB8~<3P^Cu0Rt%4oSq0(yGV5Xju>Az&z5B5m5cipw?{bZb@if)M^(JYK|hwR zm@x3U0>7|4?$WuZHXZgYvkRj;-DTvA{w9j3_kR^etGU>TzD4CmjIVlzqDP`*5^AxM zZ>v6pRQIRc2w+p`_{dIsLhzP13Xrd~B-LAj5Dl3<5gY}6lc17*VO0IdCvdu87x1*(GL!vFi zZ7nHZY>X&y%@7SXpOXFkET<1FbjyBc1}J9P&7yYf6ZE^s&4$cot?@CmoVG%W%oGKl zvY8iP0p^Ww4T4KoE{F4*@IyGzFhF%NKuSL+S?y=Gw&aG$y$7C>O=+Z>%dzS~hYk~j zp!EvP$vz$E{fSmt#Dl(V9J?n>Q@A3B6cx9_qlYbjFTL|`X93af1q2OloDkI;BE4hr zJX;A5WR`)@F5CD zRfGHwe3m=9q&qy{Fb4&VK!+p(OJ(QI(B{tDG21GqSB65bQ6M#S$FZQM3h*ql87*IM zeoV|9t+j^}5~2=IGJh<;UUyaA3b5TQ%{4&u&w*C>;nLtabOlh+8L3(qEEUyjl5#KT z{*V=UgLu`l>Ps1i6LqKmiE=9UJM>wWZ4n1;D4)}+eU4@A?sQe|CKZv9pt|(_e#VzE zE=X(^?pvV}t+9(=v$+Wq{ufF|0bhFAK|tbqh6T~MJbY}fUx5oi7$Oot=k;^oELYyW zwbWRtHl&%);DiGOn}{wpjDeRoKxAF@;rdrT3|~v87wxJTJMN}h+)=;xYjL{kbR@rU zLB6})?phPuI{L(4Lx#GF~e3+8qH^&d8k35{o@!(&pv_JTTnfG zqfMCG)imCC>xyax9Om4@MB*q4s}j@m;x0#!v;5<`0Qwlab~0R17ScO7Jajtr-^1sF zK^tcJ6<@088l=e#9D}nMS2#_<84`);e$1}>(CD~rF_-T zvXucaf%FHG%Bjm5qSybeMwHioe6}@5agvfKt7HYS{pVD|6mn+T)+#1A>-x9>Pdss< zx-^vwnzcW|I;UEDL$aPnfMjuT6jzo_j_}#AGr%)94yJxu92Y}2Rr?{baqD>N{rP)% z?RE=O+%FAZk3>=MEZtt`onnIml1S+TWqjt6e(m#|c3By(P1Ryy2c!Dc%>lG^1dJ~a zr)XV?F({1ngK1W|?luQG7vyASjl^rC`)97J3Wz=Hdax0(FW)6U(HL$(dILwKN3qw` z1r(njyj@^yS)7(YR#5- zvi-S3cCfQTN&X>In0)iUS`9AZLrD+r2Vr(!*w{QsnQy9-bf~5V4{E5(ZR|u2c2QMF zPTvUoG|ypemq!&lu;q^MF;$dyAjwF9&SCB%1G7+lmV9Ump+}VU-PfZqsj=<)>i91~iz6Kv6Dss+Q_Mzs=a*br zNdCeh@E8kEV7?6?>e+8i`kmF~ng{+bOQPs*I4LDhQ>Kk^QPPKqHk=V4hhLr~2?IOi z`7_x3stoFX;2#J}zuU7GKB7PDD?VLgUL$r~1!^mR$hs*zY4cUu$6|Tm-4n549>~cU z%nq7BD-#rUFhdVRDCnhmdEc`l zgj9Kj^_nKGYBxj4*Hjrne{b3uj4JE1JZO!aiG}OcZwb639`8}@-rY*bi6yL2bb5H2 za%y$$SO}1Q%cb8XQkuZa-90~sEb9DwI9C8@NH7+~gUEBq6tA-Jc5GY)xcP;GSG+S; z07idDY`LI5>MUOwuf!}jr+nR?o;nKce(*6!969w}s+%m0dzV}8u3J#Jvu-t+d6I{;Z}rl4SL`moMQy8(Ew3P) zsP5wVk9P&(oM~1yRyD+t2LtkZQ@qpZ+1abQ>ij^@wpGb(zauJ8 zjMY|)EY%Ghb14iW0QgF98KJ=j13oGRZ+uJH7Y|8O69tG580_a%5!f%QdnN{H?OWR^ z=NiKPCUFvu-1Wt8Nh-PlweB0xFK-sS+(5D~|>eK>f2=5A`N`vHkpv7GDAGh|`>=X>l?gJW)CfSGwXTF&PVYL)g6S4Se~ zPhK=2-tdG`nGSlcAC|=L?xyvh;=}bkm_F34psWHC781qPgIwIxEhm4~X`rJ!&WCc> z@kc0Du6@26$qy;>3g|VN9C21cvi;knm#cSb*J|b3TA5AE7=(O26(%`1@w2BId=W0r z%+JL3rbl`XXSF-K`94%oflXCF*~fZD=p5hF z<{MUCUmWYyy{KM^=NnSDfVCUSm5oHt`XSs_eQ zmXpy72SRFa0vPu>(@*17@MR-LX7&ql>zvf?B)KTJI@@Bf^#!T1XGdG9&E}CuK+|w zdoKqY=;XEHC$30*(q6*ms@1k@#XoZwH`#HT5Ym&(H8a^%*ntDK9YkoTt+Z~0^j@V` zEw?|br_-Dz?xyxZJL7e)5A*ObuSIu>7Kfv62_V}vj`L_%c4J#8S#XFe2VerZ4KOO% z*MuY1_YEL!+J~2B{bQ{R9yjrR$3~Pp>k)8{wT)2ZqaCNz?EEcyCr%$ znDLfgB7l^kAVV`51NIGL<4~$(qy55n8>jiI3d7ZlT^5Cdjsga$Z?VI0&Rn?$cS`o^|VBiUuNov$8yj0dTr&x z_#G@iXsb5XY3kqxeUIEVx7gnBw+=sX|flLc8<#ff=P`dP1ey zrm!*Rlu9|J!-Jc^3&+ti>6@m>N0SBm_l8FQ*N*H6!Ub@HLW$+8AId9B$r4Jga}+4^{N8_UrjXwEu$gf$An;s#^W0yi2(+`~}M-Fntcg)%>9H z`ie4^dKwwMR_8V8|MXdt{8$4k0JNi4zrD9h0&#qg!a|Piu^4&*ENTQKxDvyQ?otNg z;od5#9p6;}3=@X_o9Lf-Cm(Z?^YD9+kiUFbbHOiw|HtN5ZxYHY1b;o~z;|xC8MwR{ z%u5JhFE$sRM-b%?XaD@o7j?YucV?ZQ_T+G_F1{+?mTBqTY zak(R}=BpfG?e#bp11+DC#uE?pd)em+ekDzen-0TtSIUV;bvL&O04d^`AcK}wVS+PKLrYXZ)M*dxznWE8*9(5##q6IFNYVKl9~p$G-;(P{frwHXKFkS`o3u5n>(kPbwspH z1H$4!pTbTt?+Cb2Wf#okxhlC*iS+v@*=^n)GWCy{dU$;==UVuk&daxH$9PbdzA7MV{TQoje&?MuFSJ+RGrW zF5Ss1+&KW@C<=xRVo0a8=d$*Z^>kGg25(sL95&CCI*1%(6LWSPO+_7FdT9tKI*GiM zCH(TJ)a~dA3%Ux5vtxLnv|yHh)^UcPV#8e-_VNF-Zzi5msX)$Yfh!c)d=y(SiUi;R zgH048)}4^vU8{9XKW`6{8d~4qi%6C9nZ9@^o>^`DVzIKKROjs56gz%J%Rx2Dg&2_b zP1j*mQ?{1oUT9V#M{W;zdRkd^RK0W27`5J9dz-0>;)kph1@Mv?INn2lSh}8R)0rjv zskWDSf&ReDkz|HZ1Lj`=k<-B~BDnvq0+BgDAJt|V)7ly; zYbc`CP5VjG^Qp_2r~#KY=%&8l((Dj12hoUi@w`Aa63IBGUrwMe@GLS<v^Y`8IiwU?)0=>Ujm}AZA>8U{EwAOPcc4ccHj%Kb{&n zbk~{ra#wu!eB*;{KCt@v4}xgh$P|>GGB~2zP8$Ij_9JBOcm%JwDt=K{$tFE5!cRo` zAbUu5Q0QT)tjcp`;y>uZH>QEs@@H+1ZV$pTQ^&9UG1(r)Me42AF}s!Dq5n5=J=K`7 zoCCyb5{jgO2AWg_GyBY@CyfB0jqp{$@3wTgisNyHmZ{T6I%aYcSbMl zFCn=&ODdccBTKd_75l`hF&NZZ_~+ebbrhX5(tBl8#BP!!J)ZpQ#Cw3 zOD$K)EPc^aG7HB6K3V0EE(45odT?_&p6w1oQ`YX)lTywJ2Ao>i;>C) zJjomj&!&oKD`z$;wl7G#KX=JtkcRtle9hm!;|ovEfLm|w{!TOh3y{@SDW=>_FuVS@ zUJNt#qhys8-0Hn2GVhQ0pE$tL!rpf+eqI+{m49FzLqLHz8R$~x`<^J0JROC781jGR zp_sa-B?F-1siWoi!PM%n%`kcgHZlySvy2fW|o@OdD&gN2mk71{MjLF!m~fe37* zbA)UuW#{K$>oo*Xsd*#yRu#BB7m(U-e0;*SiXiH)zh0SHeVQp{wNC!A)5J z5gAKc)W=540S#96Icpavva7!Du%szS-l64*C3SV;S^a}KAqSmz_M`z2@^y=9T#t|3 zU2gcMw#m@Qx@^4TnmbXYV*ka#+EKje-fne~WjKE;w-^l;G?Ec}0x!QaMC#3M;1*W+BdnG=kX66AGq;VaDp;Poip@8nFt0@P zTze&(m;2pI>*gk0NUAh1S-W23yLEXBf{190@H*Py4fyb?o=dF8iJWw6lf$Dd;Lv4F z<+kMJz<#TH{8VQD@0r3-2O)3O7QTw^=8mm)SiQqTzgJxp5RzBs@z_?bZvUZ}o+JTi z8O035PMkXtCgvU%yN!$Z{Zb8fa zlg=Qc&hgT%hu@gzvlJ%Db(;tBJ-~UjV(NN>{!`@<{uk%xvi0pOXf><#?f@9q$0GkD z5a*0$rkqvnKHV;CPqh1xWuLp$t<irl36H8^xE7P2DPmZEUge^l1>0u7HX;08G1eM`0g`=2+9_qkOb4_YF+Za zQmbVzB$gcXLMwCjZ4x+@K5F4NDgcwGbH`|JXlf)85Cj~Z$oKNshizR59gET~hQy3G zbW7$ng&mwwb3|XTZdGc*G8PPCis+bT;2e2y0tw8Vfs*uP_qNv+=vFS({zPxk}wr@HM%0 zR#<@s$6CXiS9Av=e4foS*vX?XD$qt%7v28Rn}=2vRFwxEc#9g@;$z8OoCv{DH8tWh zk!jL%2CqF&-)HLbwI&c&z8Tng--mh{cN6s#7s#0yvd0m>JF6;_{$FixNXaDRZz4BU z4I>W1=ka;lHP=ur?wVzESm7puC|z8xmKGcZP_c$6nJAB*mmkY}Q*6C%GSb!ou)f#0 z?jM35PRwj_U)g%l{f!?FnPXtJzA^A^Xv4sLJrsTH4%*Kf{wVdD2nB4MzWZ1k^QVAl ze-_OQv?Y3+;N7DaGX6jb^3+jGKI~D9lW5d=h^bQJysshqME>${6?-06lPz)fT zNQnucD1=_5N()Gl5Fibez&j2I!&4F)J(^FGzu z#6T*5*C-eAHGO|uBbleA%^EF14&KPVWHX6x+d*EH+8Yw|93Yr5N?(G0a@W{6(fy7~ zpE)z_Mek&mff!yOIEzjcSPzu22>h_=17Gd@_)xfRgR6jSDBeCHn)52An2h2%&r@Yr zF#rvxL9k;%G1cxfevy4uAdwR~?gh$B+Up7E1Iv*Eq6v(BpWbIi-B}cDm?fqRagvJ^ z`f6V?^i4rB4P}6RC@z(VtAY7VhlxN2>Z)c+TBsB!Jxve&g`8&q<55=3bQ6)A^d)5feZd9CKN&PFi-NzTT^^NLYVXw|NIa7YzXSx zRr?~TM>KpT15?*L;ZSUFpb`_gUgg=%W3H-?CvTTm*Uq|da052k4g3BVdQPV+ZY7gZ z;81#JF(KKC2bL1S1t+LR@I&DB^Ww&!nlsX-jR~XV4+kfpgMqs4W-0pwM<9KHaIWg> zM|FVu=i9f-ZdFHPzhAzLyS?IQ9R0{wU$CMvcMR~ksL%!i^>Advie53P9WlWIl8NG6 zCuupC3hzDkI^gy@Tz~O?TgKmTtQhQC7*5@|xJv)3;BATw;`*q{^x_f^GamcTI^To7-U!7fTjHC)iL?Becs?Vz>nBd7yCH$%bEl zi{>p#GE$b!#)dyBcFG>h?#zLQ`m`Mlm-x9@eJN!8GJ`T!ItU{I#LG4!+Qjz$`b_rn zsbSJYGS72fd%}H7vrS>Iax*Y8t0wh*Z0_Y`u(tlu{c&1`80U=B;^>p8)t^D^Quf-C zWNzJCLAcSVlK$}RXL+-{0S6kv)EaJw8z({bH$$+f^||CWmU@g?(c3h$YD?CMFESOI z)Hl8AtboPX=L||?RAqz84Xueuz-$F*8`iX@;_Q0Sfvn3fSU@_SzYz%uTNN;a5|b9W z5Xs?)Cq&5Hw&kjZUegrE1L1@qu=J~Tfkh^M#P#kbYw1c^Py@I`<{|m+P|cjg1`kus z${F8kA)9y!bT3Pw8@&0b!g``Syd9PTP)(@|rw)5gtu281FHon`Fn7g3@P{>Lar3m+kPv{3M4crDcnlulpi@{7M zX-q(ZBK0iIyUPn6cnY*Jk-DEEJ7)(q=XF{Zbl8b(=k-w>+?mKug-)PAb@lDf_&G+g z^*K7^JF5S~=Y1QA$*G`*>9q*mZ)C_hv10r}-+HJ+BA*_P^F-y=TVDgEFP9iJS-m7z zb_(o*>|Gt9t^@)>j49L}_Olev-8v~O>ROuOxFIs?q=bn$*F*eH^qeY%f>UBfX}pYZ zNfR9QD^FM6VHMufya}%T+E-~Y?YSawfQDyqqRkPia;9gJ3Wv{31Zri98)4X{ax-gU zZpt>B0)s1^$L2cW$tt`mC2W{ZpazpLrXKOZVeU2yx%L zEjXI*jX=LN>ZrOi@Fqqm$v4qj`DPfi9@6#7j(}3|Q!m zOvUn0Yhmkgr+MA(aaAHeqp_n%-B-MQA3e9kNyN^}KFYQUJsY*XxYUz7mMpl8I@L}y z;fcej_x!cth0H=g{ei&3l{H$PmrrgeCGw5a+z<@m0SXtLw}UTN1z1$|w<{<>+{0qt zC@<Fw6@7wMREqdC9LK1?kh8i$k0dA47r9A zz#_X(4LrV}XXxG7BTP1FL+tJf>Ba0dLBATP%I9N^m^~fP^>=mn4h=BVC zl_qqI!~A&atAO5EB6_8K4~F5dbK5=Z#FhX7%7^qv zq#ZpV4*#p2#8OC9@s1&`lVxut(SQwgrvMR~DJ*vHq%!Z-dFVO{@RLJM7M zDqQeag-QA^j>_lSb`79`i}FXH_@Zw-ZPa|MtrwIfUD~+0<#~AzQ90rz~mvwr!1Le zDy*uj-k9>plH)qf;*|YEn^E9RWdUs+8!1vj6J9bpm?rPF(P@j1l67A_87);cUVK_d zQ>sR=kh*mg>JV3N@jM_2gKA63HyZ)a{&3K zAei&VbbjQ~YV5LdfE;zJdt(T`q_eD0?2NtzkA)LH7XYdt!Md^R_eHga#~d=k2Pett zUZmrE4qe5HFolDIXfNa$xl$?bHBvWeVAg$F1Xm}*?-}jzuqO!bm`IktQZfe#y2?)n zPq?ljIBP9YVd(@rb|#ofA9BH(u7s1lgblHRKtAH=?`b5nJJs}%;zlp(?PRRHh9rj! zcDfa+M90*J5Tw48#9W#2pf7sv46bdJ_vIr397$A>{mS2flm99QLuivk1VXn@1QKMz zl94gJ0A7Fjbz)-j>6O!WsAHPktZ2TkXZF;Ufo1zs9H(S2zy31r7RKaiaM7*qXrzj} zL{fH-svI65d-SI#cHA{0OD8N1B~Cf;E??Oaymattisc~kMHetsb6bz7+b>TQOq`3h z%&XI@uYTkFfh~9KE42Mf!J?&Eo2^~#w@|l0tGUTaL}~J zV$_|U)5vCFs9V;P=X8z@Wy$MPN_s458%j@)4-~SiyGqkW|J>RA zdtMXWx1ETO)^*7a6gw{x(Ud8z`CSdKVzq-y^R4XY}rwcN7_ffsU=QVjXJ)#lc#W~~9 zAAi(HF21Ab+bR&=ao4%HA}2k^E4=K<0Q~K9q76!kch_U6JGR55tupEB@8EegMQHw- zkdK6foiXnvSDx*=g&MTs0{57_aml~5Eo_osl|b!vm!w8ru&5GqjL3fEvKz8*8$!Nf zbLcjeA>9QtAWD>(X%zpyx9G{(*DEO%!a+VCH1Vt^9<@8fzEzo$k^spTX`&!BlNh=62~aDxSm62$rs_L$OtkgMQXQ4wJ$@%j54ODjSm#u#r4rWxE#CF7Q4H8 znk?hTOK+^_r*IuPPzk1OgyB03?R_wBX0EnjHV(NXFw=J{?CXeoQvq9E(UdpPzpr(NNo5JI+$F*2r(QQ5kR{;IO>CvcM74LBVI6ksTyp>u=`l zRR!;~To8RPGZ|?CO#Gx`aPAu4xdTl-x(9=5U_$LcYS7PCFR6`%Dbo$gs5fOtRW^{G z`MFj0)NsSmNrYs@mP!iz`{@{x6m-Hl21M;kF=u%fC<3~@in2A1e{ zfUpn$%x#NjkerpHpGId#Q5hPeTl%~vbvrkA(Q_2fUv1B* z|Frs$f6o;=5bZ5%%Yx~Lf@>ht46RGDNE3y{sU_S^LxCsNADf!qUcq%(W?E=$8Xls9 zG1SpRbm1efyENC8o;Zbil2Y^7ybNZ=Qy`x?i=vx$%Z^r>H(>r)dYmdz2e>zvX~bE= zGI#I>#WvM$^=prF9}&b@zXWLCb1ee=EerIyuLnW zD7#~JJUWZ(OEdc6SSzx zyGmY9q>PT~A59Y7mZ=1=m|TAvGX0=m zoowG{t;Owz{WrKv4k>a~b}h=p5Uchms2GgVmKuCRoj26|MLaqC(#Ge&FDY%~-#aX! zV6ezCU869*)Mzq-%-Utz|09={l?#upY^FC7<=ujuB*YioLYpwXZ-y-HHkO3d zq&_E?V^5|Ag8QsJK2R|-h6vI0*ZAKdeLzBm)gpPlUr0p7<6xp00HD2fYhd@E5m_^L zM{~==_C2U!%s#J&5470X^0W8_VO89VTZxgkX!Y#%{Wb9?g*^O=_423}_&fX?3HEv- zy!Nv?g<(v&8fUANUc=Uum~GXXcYI{Qkb9PjT&0+i9lG$oPDYnJyAm`fZ9(E9UBy5_ z^I)?->-gD`CwlQo_43kveH!9OT;^0!`cQY!(k(YF*5t)UfJojw!_hu1&+u7Jqa#TB z>gHC0hJgusFqz#;E&W5)*df9NUJQ0qE355Q3Nm^RTu#T~&7sx!<;>?-j^`*b~i(hteQZpNSDP zcf0YJUA~E?U*=3h>tPG9dIB_HM(x;$FuiLD|2;bIJ@}SeE@r&*tH@KPW~Mgp1$*vb zjX*#aTZtr%&Cz95XIc<`{IBqoR#gYs?axPKq%JMbLaC|7nCfrBCeiYvVW}d7!BKoL z%%wS*_>(A1aLs4LBPMl?H$fbbiW=hJ2}Rrd_3kDthD2?1q386LE1-Z@59xW(k#zTv zf|-;KkqEoX3+bjpBJ8?*{K3nSw^?4od@nn@)b)``XLT6_staoF=8W^KEzd=)E6q0U zQCPK=wCC_|n`j}ZYogfcX_0sNKgyE>^(Ike5x&db)GbRV2nY_1IFaC;&68Hb2VPMK#yo$I6RWy&q*VCK$e(k7$SO(-O-*UEK6tv(8YY1-AYzDl9JCXr zrJ`oVpDykR3+2!=^OikRBD{m3K0{m~diFNnfR`z>X--wH+sEB2ZR(zTMzL9jCI4p}ciUD84KngI!;m95+ z@@Ks)H~dlGA5qD9Sy^f&Cl}A0)MR$YQ>=l9KdE$BV7Y}3QloWujE4?Ud=?dSwh5+D z-WS>rxLhcZzDVxcG1Q3W$D?jET_F${7#yEpf7c6}DRX>Y;TlC}BvUa9WT$v2iIDxw zLo`+V^cD-{^T`#K?)B!laYpa{YB#Mn*kaV=Z~jm3>&aZcAK3(XB}&zk-9E)CC&71Q zsFGY|UGL3VrOe8K+ql2ylB$+iK!mTXgWoDzox^~Rna!Gnp|Ho;rs|Fzwz8rFvX@EY z0~TJ6)w$kLI;(}rq|B}IccV|&@Fx_phkE2Zc@%Nz`4y`*ElZn%x zOCfTuZ225FCOF<#AQwK5jIt0ilisa+5Hz}X+e*}XLi6&ol!**!aS_1uU$KJicf9Xx zCdSL-oF=n+;}eozRiGAypfZB7u8vWMe%9|HB@>?-W6v!p$M5DU7EoPFKw87hx88t7 zN;cSEa^Ur78iiA1f^SN&WWk|eX#e_95r!JthMWP?fS_h+dJI3`iBDfuJ}#S(_lF$S zHtv4E0xEluLv2||v!jt;PcdtG1xHY4uRm`nK-Wo&bZn(c^uY0CRT|xh++`*x-9KWQ zki89AS`!ZE?h9hG*q~`3E|CO0=BkVk}*AT#j=O!kc#h4sOdPMyL)iB%1nAI##s;Y`N@s_!JJly5h$ zlwRx9q>#;$n7ig&max%V)a* zLv$^59d}QRCNX=sP@a#Mo@H??U;%QkCX-2;${n~3yn*D=d^Y{c&2!e11X zclD$q?*qy(A@wnXWKyd&UDXzeB-jW_+tt_7U~n($&<#Cm*ZYz@S_>PddC1Ae8Z1E` zc~gS&)FQ$$u?RvwZ{yFDiE$M*;#{^aWHzo>iLHENm>(yp1=W9d`FPH2)qTxEcbPI3 zb*OW&0oGqlDl{cIt(J*tG%N}X5Oy37s}Wok#)li02R09oII)ZJxFr2Tn{^u7FeUIj z6sn!Pzhe18hZmFbbqzFV#QXhoOUC44cjC%=+*H6w*U_g?ix#9fGl@jOy15nz<*xAi z@goe{faEe%M{rZ2U~1?=4>dR$V;@PmJUAcAE;0qFdZjGox91lgIlc3CN3Lr6&U=C9 z>^B>Hsxq>dV|lm@`s1}jQdzC*&{UrJJMXox$?)c7J*y(-6N#q=?CJ9>PBzYRy%x%h zu&$yK^YG{vZ}29@0(MeNcuPz14R!l5EK*UJNvC@aak{TkuAGG!>zUX@rwe~-_FWoC z(rLFdp}4E3pjXK&pik^{d|q+&ylLcYL=}6M7nS1^h8WpD#s_(6H$gs{oPDdcq#i%M z7QjG3Qi%@=*RsCssC#(FcNyN(cg?c%Id44IKx$;Sr8vjl?GsZ+`hN8jNyJ(dD{3O1 zI+R|47gdyiAW*3xX%Bd;{z9&E_E=|lUnPix3v2Bm5k}0PG~ujLte9qSjA0^FKVy=8 zhDxLkMk=L0S&k3ybh7DwqioEL>&a_u_K1nEK*9UAZ!4~RU9Fx*s3+YLqK^7pnyinf zHrOf?*`LlHYb4V8f18`nvj70%H#6I34=!Ox;vO9)^_O7 zRQ>EqH#C)dtXZaP_ic$>$tjnuCd5*=+F-s{l3t_Nk|VZ3UAX8qwb(HBgXI+P)q6Jj z8U!2`oZbo~t)YUzy*XVFd-u7hs29Y7p97f%O4L~87>w8}9=PF#(DwT_8HkC*U=qzW&%m=Q~t`!&?q zzSP$rFq-76c#wlk&Xrf0h9TrzTqj38F<^*#3Yg6zSsDxF+Kxj+w`+bJQ{bthD)>xJ z;eJshe`wdd{z_JCqXfMUIs~u3~?=K^#Vr=fFG5?8> zeD1ULWv~iN^jB%+Cpj^ymTJvk^r90{#52S)>8S1e?w;f3*dB|-NB*HFn-ls0e4VcI z3qOHen||WKQG++s72~o_K8{Buor>A|i*V>w(jlnfFmevtT?`PSZqprmc|UNNtq9Ac z*(sH>@TfE2wv*VeG%;gN)p;!ot4g5@RGx<@W)?<1VT=; ziO3sf`X)SFWq8f#hJu||pu^-BK$I0_eeR`gQ_#l~Cew&$L;+yLw$JOtf zxL+W=AQ?0yBHLGxMH$CiPSrMdg6S{ z7euhdHw8R9)uZ~(?dwK`niohYZ76$=^{YbL%ufO0GzRl#hiv>s7s0>`KTra5jbuEr z`)Q!c%9E;s>^3?0vT*5y+oS4h$tOv46aPV`#`$Oyljc`-e5nzxatP!Wu8 z3XZlheJUo~fHtG{&{Old1}Q`_$nd;LT4i|>*Zhi~AYJMxD3awhrqog_8vZH(EbT7< zVSar*Fp6!n&qqU5>b-`Kk+Oh_YE>q|NO{wD9o7wlc4-sEH{@Vs;Y{({y9_~C!z1qZ zexc?mU|k{XOoFzLC&TcRg_@$|o~v8X^hX-BiuHhdrXyN7PE%uUWU6B8)4Qi~48}Z= zd77N5QS>Mx>;&Cq2%QV(5R*RZcnehQQP ztU|$ut{mZ5WR}lbZ1**c)_aXzbX8FTaav;rGqc!H;!t^)%$koy=^9o4 zkY%G8wJZ}qi;>50V0fy5qlgHdxjzJYu-+2Hmzw^yVcu|S| zG*7eOqXZ--T;ns7?%UGkP^*_u#5U{ha}oK|sNK65Bg#%j`b9$D73!Vm5__b210+-E z|JRU0=d%x#9+My`Ic8dO-+t5!{;S2G1WIaNEi?_w@|G}Eut0|2EvDmbvH6So-8cPC zeh2nTq|;x+EwO3bHZ1T*v)i%V#(L#`l0HQRY`)y|6Z8ob` z4vsSUbeSVX&mdCV7x@n6+U&_E^9plOtlBo0nrUfgvPQ&LJlt{n*py!Aj@MRBUfajX zOTtM%6Q4RJ*Jm&n+JjBPcWN^X`o~^0MKvxNAzbn_-h|*i$yK>g85~)4?3sBpVGqbm z^QGVjkP_$dtLIG|`AxN{k}#VH#2$Y8QiE#Fltn_hXXgw$_BmC{g8YGk$(7ZGg#gKS zD1nlo7lraGZqy1wP-p2qM<>OtqX-G65;Plyz9x~E(2eCW#G@0Txgut%TAX6NT`+}M zC50`tm{AqsiYMG7Is#-4Z%Z%5z3ML5hk8*0UbgKK( z$<%d2@*5LS!gNlZ1{dx8Zy@srZrcl@)8vE82YBUO2+56RfW9?Ea3OA)!cGm@SaZF`% z`*X?EFf?0_7m2|QTvNHmj$ulvzZ(p#v03Po<}1F?{DK~Cs;QRev~kMLCt(NvE+YH( zs9&sC^}BPOBb1H$V@sL|ylsVI68od?dG*9}P$<_gGiTmx)S0&y4e4#l6&b`(wNMEG zx&GxzlC6aBDB|xM_CKIZjHfArEk_T0_P_<%#vtOx$hWF_cd!YG;wZo=Ln8j9qVT5{ z<3Jyy-sLXx<(j@wM!g>`4&z&Sy?`YmzX~i13_6Hr36P{6xp{wv;a;+?+(Py zhLr@8g3U$3RRB*aZJSB#YtyF(J4^JHe+|yR=Q`ZA@L{QpB_}xH_P1;LXfW4)dT!`T zr^-yk&?l-=hS1ffM43>0z86sqE&9wjWMCRy%XHx=zNq#>KQc4V`38Q@1QC#{_w%L6 z8A5&=mAQ}VYwDmhj@?TkHMCwz$p%8=vSV82z3Aia6>`a4$(0X+W2IJZMhYf8bh{-6 zKh3P>EBYi;4(?ZN&|L3h=a}_OkHf}O3mFe|Nul879u*9uKTapQ(BRpfC{@O=&dYL~ zujK@V8-sbc$#C^4*J`stzRBN(LFsIiR_<$-R|?D1ujg~aroDKf z4bo`!vluaGwoSA9lDQ5(y$I3x{l)jssY4c&0|9SowZR(NPUFoEGy>d+gKGQ|K632D zzUO0j)Lob<*(o{t0+Bl06IVbxvL84YgfrQ7{+6B$^?F!!dSARm$w!L_$PJE5QX~KQ z_%H+^ZXCNYsDp|)OoVXCcs=laP~3;Fq53mrvv_aYT%jl3lWCN(GE<>Jo0^5b@J^nzuOFJe2G+d~?$W1@)?T_?*E2-d!}@MwtR7l&w|5P3tq zXuoA6Dc}+fv}@W^1eRC_uL&TO0l~ z@yYH?6ke;I;RHOJPcx#pFf;v8m$(QI4p?64KVHX=spGv;k8KO!`>X7M+e|gE_OL!Sv-3a*o>LGH2 zW_798m42POhOiCc5rbr`Cw~eK_%rzG7vvUHi+P#Fy{fk)`GF^(cYZ;Lq)xD-HjO!U zpy<0O<)i$YMaz&V(bUC;<&6o%Ne7miZ%pWEx4gzd$?N%iuc1_9R{zHOjjT^DTb98{ ztK{ILSX_4(>XhgFUNH_a?}dO|JcDymq|z4|JZ=@JR3`lnO(Ppsy$`awQ56H;Cal#@L6zg+^ynvk#QIF&RnLFEi@7y{NKBp>#Ux8?Lk zRVw`JT8d4Sk5TDbE<2M(MlvEJ$Zdd!JqhZ}R?%zl1iL{|`BvOB(qex7+5Bz3vE-&t z$t>+BD9qUxPGsEUmbTCO6fXCGVGxGKmCUdhuK;yjEti9zMPHZ+(%<@ib;Cp{zzxox zTSGW3;X#Sofspbr=>UkQyG?I}sO%hL-%d?2f`H1sGXR^koh!jHn=u%T+g^X}c>Ou# z#<6``I*!mAsCr6`{Smg_`0VJ*FS`vXoBCdImq0`5cYSY23sXv=&3M=cf>shnnqjW1FEyu*vGu=*ljP) zU}Yfh)wYXXvE4H5Cx3}-Zuf(e%10l5*4KLTNjxYbXHiVMC<^6fhY?*@yONpb2dpf4 znE7`c2>P!Q*s862gKlp7I%k&DoINFbWC zAflAf5Vu#!f#R@j0U#@ZCSxn&ng(xzctz$L<@E!a8>4IoV&2oDNUveCLh4$a0bV|#p z6SsbQ=2Pi`WLzdcUivM>da6ObsfgR>1O}wq^FrpWw*s0H!-L*y0vt&bMTyjpP8$Rx zQ8K0BVE61QZNOG)%Ip4~JaVI*(H-dttiU+iv|1*jP?3}}$M@Z@QW5b%j?;G1Yzk}4 zd{xM8s2NE(L{}LTB4>QS6Z2 zAv6!mQvxyf18WUde=Hb>nrGZTcFiP5nMoK6S0vi|bg=}v(MGo(5<&xc?yt&7OB}!B zS>P#BKc@KPe(+jv-p9DH02y~S^-_4o*t5eUc1j`}JtvS>4x&Vodriy)R)+Fv@e@3Q|;6G+EhpJP+ zVp{V+0EiT3CFTLK?2D~kdHnm;7RG;WUIu0M*+(8;F!l#Y)710SAr1It_Xyd~6L10T z0U02CP9W9^K$ZyL8yeiK8XIb;AvA%wo=3m@(>AV}y~i(Ywsolw39nSjI_JH~^Pndn zd*@czgISFsgfH?RCWG=l^LBBm;IY=G8@1}9HBb)i4jxX!|PoK`Wb}$N~kb9aJ zeQndpM12oG4_PxRNPw7t@qth}t8bTl(=^%t=bDiANWP1sC(4PYf&8z3P0q1Ad7;s9 z@MU)wrRK`s*SSI;T@b`zxPhE3g1(@b@vHji8PaGLorI3@vy{V8a=ta_g-{)kw*Vn+ z{yqj#$=JV(7W}@g=wABGgY%*QKoi!@(K%C%+}f`+F~|Ihe;;V>Uah)0v0iEBBZ9%a z)WSxmFNbONE|ILWbT+2%VU|(L1by3LA6vrS>*4yl@Je7%f^Gt;!8jEF&ST_H zFuj$uEJ-h;KxCD(9Za>zz%k@r9gs|d-eJ@%}8Tc^Uj0@ zZ2#Gw(>#aG+CFQ^G@Y4KoJ**|gHr-)OYN9;_gxC#jswoknzZ<-LGBaxK` zs%05)9i?aKQuH2KXnC-cFMLnpJ=`C)ge_+csuZR91$dC3ey!^qEpLX3kA9jQXL^}r zdLVxVmOK|Um4P*v3I}{1GltZwpW2`j>n24$CmBroINb|2!YVG>bf1Pkt^SG-X92P( z_~V4QhEF`5!Z&3R-LmqTTGI5mp`{X}<9r%BYr41#PLa1lvGMcm62-`eb51V9WY3dW znmp0lcl;QX4i9Jw7)F*6;%bW685&KLr7Qs^dgx`?)U1=IY~TrU^0+w)@C+Ow0|r_Z z-uNBONXeAzbwFvYoG*X##(5+oJn6MS>t!Hjw_xi}a?l$kX{hgcM{PvVR}nV-JBBiEre z&bPDaE~1Yt%&DZh`nzqWV#hs-R#DWT5E(tZ5h33 zJp6;^=l5ip_Tt~-Fc$h;3aOtjH?VD0{c#ieu~CPgG3jXs z-qZ`Oq?^2oFhts8h)i>^4@!bt$YcuR&ph|F{jOHsr#VErxYiS!c_h#Bj$-+7Lq>j7 zMI@q27+Hm3jI9{iuuA4<)1X_pmIai?>C#sO=bzz$_OEExYczuzjI2!;nkgi_Ia(*! z`>Tcg zNZPshgFVjlPfs=S4C|PqRnW=-)g8i}x!I=km9G_KHL&%+m&Y665dx=DjD-JuC&Qy> zd(&%-aF-zFHGF#aGJrW^PN;^#1G&CbzWogIN zr4pM(M${1Ggpg4+Xta{f3}+AG278Bz{x6q@%kR3vR0O6x$Cjwnem%2%nYZitT89_y zc4!l>=_Hal(TY)(jc{}p8#&0kQ$sxMe5YjAXPK_&E&pbjB^bg+r<1%RcC%Cur*x3utE2=EY;BGHE$o5@xLt*X%0|Wu?Z*yIm4?J(n&(e!yEWO;2 zJk0g~j6yu5QpLoI9Xw2JdJ&NtR|o}szu_s%|Rdis&JlgcV%$r-KX*0gYFK`)8DI7tQ zc-tsV?s@}i^J|ce{H>b%7sD+Pwyy%2B?O}nY9M2D_|4{^kU+Gjrf`z!d*i+85{l%u<33)xF8QWFq+~0A0ZYTiZ=%Q)G)EfI~j%>J9 zjlBxX4b5J;LHl+44XrS)8Nc1$=BmX5sN-RY8)9XL(%*Oi^R*9$WckbzXs|u1UL3_D z6A6D}Io4nBZYM*jXg|tzrl&^4rCx=%Z0u`nl=#WgJ@?b*Pf?kuB{t;F4#m1|PoG*J ziEOY}{CWm~U0p-5sB0eT94m06i+JB#+DCbn@5Pn@l}F4i`!|*Vv`pUjXl(?mCxFv* z=0VC{;kt8iKp^GuKyQdA{BjL8`c&h3(?UzX`1>!{Q&-D=V5(o>tb&G8=N3l}CO-Ap zBe}Lq@jxLD@0m7N69UuPdNz02zufb_9A#Me`1it-GlDVT_4*%BTSOTBUy80--k7^G z?}ED3;?pX3Mlh8g@FL-f#g;9z8(9loXSuAusGUuh0!!E%u6)C+`8Zw-LOoQdt-|)t zo)!F=cnFVkroU(m+AYQ63Z;x}vB(8AW!o=s8HnZlhBEDa0j4qg1Z63;{xx2{CY{t+ zke9@Yj=uuJrV8GU?UBmu@2$KEp0P?D5DDI-BWvk*EY~2C`&jUz^`@@n^(+pJMnMM* zN-j4uSfjfrHdslbax9SJy}YmNXZnX8E_$R8U;!ZcR=L zsZfjpDN+CJvT%XXs)zPF$$5~@IR0(E)lff=Z#_Cz<&tb7JsB-&Pn*|v)QywIF4OMz zXihjnQ?rT;;IB(rPU8Clxr3XOlHqN)Q9nMtgWtoLKFL5JARW?Vdhe7HG~!=TmBHC< zTM2WRc}8Bth%`%`XI!Xo-|5$~?$cGF@jP^X?(d5j6Or8D zy_25HX!W~mz9k2I-sKRX zgj5@^8|L$#tr_nZj)&w=;_6l89f+wJPnP8M+|#tLJ-vJEEkXX~i&04iD!sZzJ1g9m zqsHF*&b!arYr`i4B<{YEl*5%VPtNU(K)R8q&vzoGzb~7xDu6z(ipsb({L3-F&x1gw z4cGWDc7LcoN57Ok;l_8n-Su}8%)em(h1N$f>Vg45o+ZS|rbuxcxr1*#owAdnCggtq zg8jX7=OAYE3vcvoMVHi`v3d`s-ppF zUu^!J>i`gRgxgZVH5aa?|H23s@-ulvKNDRfBsJ!Ck9R-*=h;CWUw9`9|9<^{z+-q; z;*G|@mB7Nnw?-2hce)*r5_)nGwS{yjV>^h+BN;fnoL%&Yo52UIg~N6j}Ie0af$|3dwI432MkC|4rEcKco)H9WELG z$=6!#v-$s}%>RM|Smzb-IqUq@bU^lB=l(t1&x=ia!dUtc@gF#^w@kAQH2N0^2-nC4 zDB}w+KpB7h3G%oy^2cGrW3Rg}P?;ijKf49s3%ICawkel#UR5owbU#_h3$T-Lj4e&@ zAM6|Q9e3~LVBMepyk2@Ud*)emwYFbDT0-Y2Y z8Gj&g(z-gP>a9#uG`S2YAOZDR`91J%7)BiYOC=4w+vmiwEEfzE}b3qOhor(F88FL9;3onLsr{V7Rm zO;wlOg>IUAGD${WIr{^+p@_2LPXzCJ48LZ{1c>g#8wuIv-kWDqJ$QfKXaimbtnB~W zd^6oZI84@zB5@RusP1!j&*4C;EAsz9&CnGh4~iMFbCP~yLbbu?{U`1HdrLs}T7R<` z0;pL5xTj9?<)4)9|Mrlb%>EBRVD~^D;G}8+hjXF#hBag)VDIVk-^)GcV46s>{}M@K zv=?Hi>U-CvoAZ9-jC2FRO<2YBnc#mP@t^lE+^+N_ypxMx$NuD zmR)_?p!rocqu~p$8KN%xgXYuai5(Q6-d?C(0DR2k>7K}+*MUIAd7Vo05PN<&dF4y( z1tc1>$zKX@e^<9o!xpqWj^#?INwRJ)2Y;M%sCWnyIm?c&!si(#OldxC5DIWr1GOI$-bGIHN87(|Wm$ zq(rN}){-44oz2Q_bNF9`b6Y%v32(3>J4k?*DhI-Vo$o#^UMntiaO=`l(!yE=5kKd7 zWq14F&(^gOLiPGbQk@VpLxQvK+WeXR{FS3u_9q`yP(LnQGZUCY{0jNM{j|c1PYql; zNsC{1_x+XaxjPL`V-UQF?18xmz&O_>+_UT6xw$pD{YRJL+weNRe_wQrT_5LhC;6}L z8sfG2hrK_l8kAvEVr3oYKk0%Tb+L@8>EpB}PSBj+UOa!~_AuYnC|khh29B~3;j-c+ z?*ZN4QvcEoT*6!gn){6UtMj;o9eg3zxTo0c|Y#X?KA7y z^zm+2)E(OCt`WhGkuVD}H6PuOE`DQi^>^x<$sCuZk;K}{(pXU9SHllDivlGvVJ>*> z#kpwmSCB-tXCfh* z{nOqH8^M&h(~;|B|5jIJlmXEVFYyG;+?;c z7m?*p-Hs2)@FQ6pPgfnn z8H%CSMk0q=TNAO(-s0=pOJ#`LAjifG26SbJJO^H|x)hQVFoX5|%*m|MZAi=cG3DJ_ zb~G93ntw#=KTbsIOJ;^cL^sD)Wl3RBk;IVRv-X4ss}^%&RhoQjna`lFGYY z(i<5p!nzvDN=bRL?S>=!MwvJoPH300LJL^PqajtaO~j{ezAAhzt$ zv}qXpCm_DB+Lgb@lvA)A(S7>XzW{nzFQuyhsC^6o3DZ?^1PKJhFJ5tn%juTA%U3W_ z(WWavJaLfqP4qLQkwtAfBaC1{RHUaLbsP6`N3hj!cIS*v^|#HF-w{_I>X{5Ty#k!C zY)IZ4NASm(9=vz2}eo4yNeyWh-*2mqR8DNF_}7~gVj zgaXA#{EJ!`ZeKGow@{m&eJzk=Ug?kTBOPpZn)4TtOs%<+W z%wBv&g&om~N!b53&@-< z{qTLjB(1Mls*@G6aV-^lI~~9wUSxy$U0sznj}hU7%J#B8Z$eDTPv5HD%K#YG(9V`e z{?j*NPhT5az6{Q_G~GxDOw_zM?GXHG3gJ-W5=Ac+@%7`Rc?yjUw(LbBjcVGEi5P<5 z7`m%{L^zF`&difEH-`i|2i&C*H9j+-Q+!ZJ&jMv0)vLjW0NoTX{a^@)OZ^)J%Ol!R zsCH$a2-A-M1bLMs-62F%5vi>hLOnW>1(X+KR35;`4VQELfU|-XWeDG zV~ABiq2j|EkUS?4u$VSo?1{tp=w?J6cz;lFBrjJTY|8xk;b%TXwpW$-0Wof@)qXkW%DKKPv1`)>iRh=|!#`uBJ!eOjd_jpSLUy_#)>_5ks+EX;RA|Dm5>~ zg+rc;ZJP}Gf4`b5-rdjUOo9oELK;0Wn5YmYLHXo~VoP=Kmg3TtXMzM(sSY96w*N!t zm#RzNLXAjRJQIEe2-s%TD zg0)D~gi45_+EBAC12O+@Hq(fpH~(;1Pz<4_Qh}vXB)IYcmu@Ss<1S=yjzUEz)4tQ5 zWVgJHM{wV%+}>TEfPawbP2!sqo^5U>JVLskTWI($l!A2uhA5N7$-z|B%S--1sMeQf zY+~90i)%~P3nGYuLWTK=N&u&$IBEYm({EvjfUtHa-x=cAi0Oh%*R_7ULR00jQggl- z+1j=5kxX~lhL(7Tocj4APD_lCU?I2lZqp}fk{knV)w3NyD;a!2s0i@l;GRk+Lq7Z4 z12Rj!QG{e{JNF#`Yn?!X$*KB%?@l9Uh(Bz6L9Hn|ov804Rpj-ShX72iN3s;O7PRfe zXo{EGH}x8VNGSWz-qPddflYDNvt={C5cdlK*)DMdm0kUVh>NJ^F0LOlor8iqT=|)X z20P8#Vk-AzxrDz6tCv-3`o>%79g|4@eyPz$A+!?9EX9h&RaMVkvS2?#!uI>EZhX6& z7?Cvp9g8KT*{}II?Q@AKDlw&qK(4K2(w4tdWYA01xmp5&c@XUs& z&%8GGslI&W9pZ~0kxSxtkx|s-E*mku7qhJwL9Q7_bB!9umK(IzXPtOtMGO?#5F8F1z8vW(2D&xI>G2469p5zj?rSU$ zN$zE9Z*$ktZL81BF)t5_56`r*0Fl2#2#*nhASe`D5^dt?Pz2;lUmzF7Nk4h5N#MHM zqSrk)K+3(QTdq2SU_g`4HGmgNvpzsF2ku#u?I(fRX2tExxPT*tALLTprxy1$=Np8j zZSvd2(q153GLS+t3eiV~*_f%B6Tt_KCu0jq=KD>DPa*&HAmR?@55yw4?wABWsTU{F zAFoSBvKvm{P}xN?s?$H$?`5GJ15+46wPP+4U7ia1Q^d4Xy$H#uHXz^DPm{{}VE#ig zi}O5{3yjQf+fQ!N`UYEQNa!>j5bi2@2KY!gOy(y2KXfs_{ToG0A^fS&{~z|K2LGS5 zTmG@6<8-8k7^UO^zJW5ebGcWyfr?LhlVxtCA9a8P37&7m*<>9V5vaJNt~U1Dca8V! zNbEBb$3Jm<90JV#saQ+=@(n^%tN z=evw&vRyk3Bx=1h&%QrlXWlgxA2TI#NK6RO-Xym{RI)LoZWp2n$G)A^_#oQG&w(7B zk8TedsQ?k};AsHh*KCa<$K?;mo+9Bg8?IeM^s&(G5`5NwiTLdki;0!Q*S#buu0OXY z{?Cn>-&)HGh2c1$L`Tf3fK8Ua!ievodnJfSUK!jW;RWzXVL%O%t*wL9WC209PDoeg zUf@ZAEIJZRM496;P-FiLj}Z`f8L%v!4g>II*;t(Py`**rabeSMbsHf1E*B@TMbXI;!` z^w_z1L>9VX)+zgRG@ubm~M1>wpX2B6{IB~GH05Qrl1)I2i`a`6eaCs2SJ&-2@TZil0k>2%kJ18|K2oe*H zYb{{9gP2bAk}=<5NGTI|d;c1nt(2wu@ygRAH%3(Qt`Qe0>^wy@b`v*LKStUc1d%w; zh+$ra>#F1`JKD@|9V4!j6xqQZXlvG6;6z}~SFLCvY5P<8s6ZzPW_x=D_;eb+{EqfA zJNY+ck6Kj|QGCD#!_=|^$@VIPjLnn)6))3)r{Mnm z_cBXYrB{y?to(M;_zD4T9}Vnx)w4s0OC-hIm}5kG=8y!qNC@z0J*crlZ2?(T5FR&` zA$uUpV}V^60}aFwOrr;G6pU1S!V`cpU>t@`)!q|~F(Rxf2Q_{3Iu;xfff*M38jyM* zOJg80T`~oCEcRicy9?ci9=^T|SnxLgzp7|3;Jgl|z&YQVmW(i^RU;am-U}o-9wfHv z^Sc=GAldd3jQ8Qdzt37BhQ3#2J|U-ZPM8tdf3b|w1iA92hrp4-O0PuOx|GJb`>aJ_ z8rBc2#LWb`V4OE2(q9XG%%cEm?(0`zaz(oo<(|!7B=GJcAG}xLNs}Ci(XU(ISZKoJ z5|a)1`$p$TKrx4_%4z14Lj47&z{$r1j+DJ9yGh}dmcLhUI+$)kow}7JP1+;30DLR& z;2t77ndO{^Ks1K*|m|iG9H5qMloBX$R}+Xqi=<3g1tqN=VDKb6PImw z=(E-$7d9zh-3@l3WnDI30wT>k0&i948GZ5DZs)f9GInr4)=og(WGX&agXx|1_IIZr zf4q5XOhDv3k165NDyHl7dVIds6C)oE^G^wXa%A;1n@do>omIB?xMzbf`shrgAPooG;<_2UFG7a|FFF`!vI9G~Ru7 z7#X`}So`LQ>uy|NY*A)-xIz0{?x=!G77;(p}a|`Z*2Rc>G*ldba%gv=%KZWZV0Da z_wumN_r%BUJH({wa<`9+e3qIiSZ-1@NyHDz&w8hr7Yr8yw=q*wUS80=- zW)rv=yZ2|_kr^L(ab*RDS|9!CWSLdr`b))03QzhJ!FuC8Y>dJuJyVktGEl~pZYEZ3e`OShWV%5qPjc&F(Gs^;heN+0? zkOm}^xIdy;8g&_Ky57sv#UwZ)rQp>rOONs!D>T9n@n5=T)IPu@sF>#^Z9(7PDc)yu z?|l%*jZhBb-zp(8>!XL7_O6LCYot^Eg-VyOpRK31=02yNrjfS2$GH81^v*G<$~>_W z4-h1-P0Qu?o8#)pvF=9eNQ(w8sO9N&&*nu zx|gEjvGnSzz@E^pV_XU@1g?%`$svtA0VR~{i?vT4aHwEmfpLfy;wO6hu1Lo`{KaQ zZoG8ezZq(0mCvM|CocO@?>Xk&sQs=Lj~z-H&ht&W#5Z^QS3M*z*Egk*!2 zg4%}}N`>-Q9v-=~4ooa$wVmvJqXT!?qKd-<@0Xnrmphillkf>_Kw|7J+%rjU6FtfH z_LVoA{~xV_^P6?f0=lYi-_=N0M`Kgb(Kmaivs0<;T8wLQ(D~NNV+rqNHEt^n7Oqtr zmhip0O7X>1-6ng!tNgh26)xaA#`Ja}cJW7xpF7~`_Lrc>Pw%`*T|aoN;)HXx&$*~I z5j1Mw&w%U^Mmuf{ynQsUq{Zn>ps&yNn(RX~r~{ol&3~S**|P^SKkMnV&s8zv~!5D8%yS_XlZaxKC<#R}zel$Cru8 zepHnS5a2re|-QBv$YnQCeq&FJr%7-Yvhl5X7b*7e2Qc0zRLIY6*1;X}=}{W(=b zI^k1Q(#q)Fi#VxX9l=u%dQDPCr9R8Nue_@ic6wo;9}5nZBB*5%;V{sIh6Pl8rA;JO9P-#+4{z6E>}QC$Z*^UZ%Ob ziw5lpAx*b4gBL`_i81jG60Tg0O;&dNCuPj7GsOZ}g0Jeu$@JCv&GlrnS!#qU8Ab6J zi~CZGb6Fov-5YF+&XJCHN|~`x?!#t`JPdM(ZlP}2Dm!7U#dh3u>l5^h%6Lv`{ZQdM z@pWZY_Lr`5hhIBjwll=8nyb|2>QsQ6^5ply4}OMYb_s$fERs)~@|KRbG#Jhr+4`EK z?;2ol>RlWEbnm;c8VhzgHD_<36Wnvc16wzyWKFscd4k8VmGeVpWd`YnjYK=QfMEQk zZ^hap{c+E@R{4keSWd3JT`)zdxR9%g(DZ5CsXx8J!v7QuCq(eKu-a~5rZ2|L^E z54se|J`B`mYP53Qeab=nu+HFDL#sQ37; z%raxh^yb%XiR;=g#>LXfyV@Xa%FFJKoybtk+t1s!VBVrb#cw zECyELYf>5;nmMi=vY0GQ%RGy+zd0bH9DIJnsgrltTf?$1stX!xkA&}AJaD{Hc5Fg9 zdq3upXFRD^Di<)C-Kvyzd%Ww1v%=>}?};0#6_w>P`MWjL@3DpBUzk4SyJM2h?Peh7 z__$lSyQi+dqC%+i^0QWIi9uTT5uxMOg3a-4ldZnsQwZ#zIqW6%ZdH!Uy`KA- z=TRr_*YO&4u{wltm3MbeyI`9%Yk4VSW~`XfIGFvutwxW-j5MBct;IlJ_FGOz=Fv8JQxXv_QrRx|~5%CX1cB#pGDOyc^P(jn-kmI*ZDd{PoMB*numr;Ow!9o%SuM zTT!naX4m2pZe*mzg`AuV;g%~nP%@3uIz?CJA`>nzSsWU4J!<4#m%ND30)Ot_FeRgy z_vMCX9e&MrRLX;^Hg~Rh@meOiW@d(+kj`3>_GGK7T-Spi?4CYfWs45XI=`R~;MG5i z@A3I)DxJK4`W4_X3jVqJS#cN3-3n)F>AO6~Ebw5a zbmR1}U}kHgm41&v-%w_#^RGQwVnGwb1d$2Vz5B}Cx!I6 zS0}qfnbc!O>FRp!frrwPrM~m#N?vR{qhUBEYMq(nR5cLSp(oX{J^xk0C$YEM#?^x< zX)72_e^}A8UUb^B*OOlHHH~b!Rp8||%hBHa!g5jCL5oTY1?+eXA>Vsu$I;S>qtC59 zCXUJGmBi-v{LDH=6UxWw_F+IR>cvIxtSOUH?@HB6EWov?)ULyV{%wg zUCjGk^0jD!4x?E)lo4OqE#kXBP|xhdghJVZk=Vml~7u1(-W4}_d7f{9L;>b>ZkHq!PD(YU-qAP`)c#Ka5jzOCuLgB{mRHI zXxgZz`mJa3(v#N?f{8shzD&1XqN$`g_j9(_C&x*E{{1__P%!_N0(_#p<<8f>vOSmI zMTu9_?^NebG*(ueyvLv$^4x8 z5+3Fb^d-sxSA&?vVm!V3M$I=Ah;ejDFuAHvS912*T3eUIcF8ddtef_EekRu^AZYfh zrunZhR{ehA9DrftT$V=XsPo&vNT+fSnvERk1uC=MlU%u-Eh59ttwm=)v{>qUmua|TX8OFqM5BY*Y+M)WVeE_!>&yicJ00n;ciO1)iWVNt zmS|0GvqKiM=vRG`DEFOtt9$%RiYi-Xo*Y{7^1`o-1l^Bp31({@^46kO_1X_uDLKtC zNvMlf@0gbd+^4qI7hn}!?|oP1KqVgUH}e;(zs1Gl98+TFySDE{GVU<E!awcWGfb?b}Dw)GOMABjJtqjuq^JF95^5+9dquN`z$NnfV7k;A;I+~Z~2{}n2&v*bMM{ff8V)QKt$C3(2R9r%?@f&jknd?+dcG4Ehn$F?~9yM*Wa+)GX1Wx zp8sYY7ZYA=dcn9^X5+E?uOG&^csH zluIfo2s-9r2ENzkSbZS~-$v7IZEoAV!`JG!uwZEC5$V@0m#k74+waOVW^eC~9<4V% z44$~Lma~4*Y%dAEyWBSI=U+CHCWCr?C+eZf{bgcsXW^svJbSvz-C^pA!YI0AH{N zVg{8i37pR}e~a|5S%qTQ&2yn@c-0xcwCRB=t(=;N9I>O9`5)E2>)M*UN^$Co#dzs< z8h7kh@nGA`+=*C6!KeN zl*or_xQ%=INIxieqg^jF){)0}$#*^K8aBPx#)B#O(_YDu~ zgs?7sID4zG4S;+Vw+V_{0yt8s)A7nH9_rzQwxu1!iDYi_3Fbms_$K9A7W7Sd9Sv?M zPb{98U_9@g`%1LuWKxuyl1k^Nn#!Ty@`4r{O;5=fd4>30*!AS#>;&&cw@Ev}&EA&Y z4#I=wd12|^;dOSE#>}R<^)tVtSDw=hW{%l&f^SAVv*umR%CE7Kodv%cl#d^2$USFf z`CzUeeVNsYs^^N-RF1fus1j=$%R4^2eyW^o;VqHw`!@sC&IsbWK-yko4%K0MDvmpLCD|IojpLs$t3?Aw7JwqkO|8cW5P- zQ>mIj1jD7T(-8tx2lF_q))Z15RQIoR>vNSUS1ta`k!*URBjihqr>E=6Z%0QIPYREr zcYk*+@JnJ*^WKgc0Iw9Q>sYOdZR5_&7?QOwsGFFTeq3SG6tQ@egKcLTGtfWQrNk%j zSg3jMYt#A-1lFLHKDMsptW!B}HMeiCA?+S4XKd_l*SeCK=*q0X(x7SY2fWvAALgDM zdQf#Eds4Vq@cP%T7WUsc!e8_&4_11v&DD*jiEr47mx;(%RD9TLKic1^lN!AeMb|_i zd`W+G<5AR$lffD>b{T$yHiLv;PEUiLWwo2N7kicPeDvbmHL*jzwV>vBRwa!a7fsaj zOLgJ6d&lz4_=+>yD*7%I#i9l*3U9Kw&TVh$`gm_3*9IjzJeI)UQEuuKFl^8qZj>=D z-nNlrrb@y7hTxi-9RJ=3H{fo2Hw(D?KJXBB3O2Qr2_K3uj+6+Z8O-}} z^h;61LT(H<-ezm?V#2#LGm6^A$G`KK= z8ogJsno6v1_R(Beut4iZ-u9D^Y_+mm41Q@RUBU3}>%G&*yEQ_v+j6Go-(H;l5#B;O*BdlC)KZeb zA7D3WS5=TFlKd@b^2c;w^oZOx0jd%15sf+K

    #bsB_Jd3u@{OMhESO|~c>%C9`$ zF*iM(fahsTcGip%l5<*Pn}9yPy{jvk{t72mNtfS<=tNXrrIE+i{gLg-4r)?r-#TyU zU*gi$6xP?+QTR(BXV!nVX=;1T&DI3Jjf4E#Yh3+DIxlWv0k4b@J2@o4HTTht&(c%+ ztCyHkCTB!tgSxL(Y9-6a#i12pz@}c`$zavno8fAj&{{RTTQ8wd!@CRJTL$%hREp)?G`Mbv_eNis?;g{% z{I1T*wCiry^n!uYtcl2b4f1~kUH6t-hjwOty;0L$v8jQpXO;!?bVm1-Qi@=I1y6KJ zfv2&_(`!i@_BS)djfzu;W|*oY?r7INEK2ElYJ1hA-Iz#{&r&OzyJrsv3T?wTWr|ty zS*}L4XU(abB+%Y_~Y{%(P?k^l-YG+^dvW&g+KjyS| z#57YW&T?2Fr|rvr&8&`wOqB|k6}>t+*LS4|UDLZOYbEsMh+Kc~xwk?yqgJK&UNMA3 zUw^gIBdkoe=s`>4v7fWSw+>%9)WQ6I(rmi*Xx)y+**nEuDY2I}_f)hCx0f7X6FI4y zHX8aung5)BN)2OPW0TZ?DX(v@>&DzUufubz$Kv7^QZ$$=fi-R~{1v{|MQEY4c=V{` z_9)5)VuK1EP2s7VK2TGwIroz@JVWQvXz#x7X^nv_;#7Ticc-@x>h3nkt(=Rf|3+|jbxo?Zq?icBLfuHJHz3m9= z?@L$xs!Uc{dHJ|YkLx-2Ch67o>x#~!TrU^)42E#&>5YRgSjH2$(^!kUS~@f<9}SM$ zJ*a+#!blu7S?^n!9#1v)4kZ>nW%AwBy}dD(r<&1%#!)Wx&G_T2h?h3am0N~J&jv`u zq-WQ~J|1r=QHp=Lz@fP@lZA@ljKb5jvnZ5vVPwz5K+A)byal>8dq;VvY2EB4gn04# zIX`=Dz7)b4aBfLf-z;^m2sgdmimjebW`zuT-5#rlYhEhYM0E&BU#$6|yCoJRO4Y}N z#|2MBShLEY_FU#4#&g#Su*6nHhM+jSGu_R{vURO~ug2UkJ3AZH@HHmzB}j=jPS{%5 zOm8^hy?|B-*pUS(8t3Br{k=zx^Sx`1Wkx?zEdr0oP}_xH+VRMeiX)eR-$j*I?>vBR z8|Z5C4DQSpa5NLW__!6PUM*cms7;;9Xg_^Sy-iQ5=fK$^i`v#5<7*~{a55V>elutG zuDDj8LoEq5W;-6rpB(JD!Pa$zUuorSE6hs#IvcT>Cc=0`%6i#50GsZZZqs^`V<>i8 z>wt#UdeM7|<~o(qvYt^DT1MOU{Ce`|@fqSa@cRdXU|V1tFLOi6iLB_mDr!=`!tHtW zpI4YAc_bzGS*Hx~&-A1_3Dmi3(|Q{3EB#o$kNL@EOxB(9&D#$ea&D0l_`IFTz3>J7 z+Whb_=9pK`TIPby506<)3r~JaKc3%c8)fWy)hFVRvG`=ds-O7S16tQ3xUQE z_kg_N{rs7|vn~gJfWzn9oIj~hqaBTckq+!%&de6D9RK$AB}dGIURh1BrBosKYHXl| zR%-g9F}p>RIGvosUj0z*RO`Fgt6_W~TX^S^#r4g*aq`A&O?-R@T1C#tFh>+#dN1yG zDQx22wdPUft-V!yvdB)Lp7%Lo9Ti=0<4DLjN70H*7OA{2u9d4mlIsJ z86Ip{%#m8uw0G`|S7b}>rFet0)>l2``!nCEE}(7-o^$)qBJ+Y+<4>8YJ>=H5b7!~m zWxp4ZDY!J}$6^w0gU3z=HT#)3iK6@mww$mHa1dT;W3%nmgB9k%vO%|Hi(iZng4ahq z&up_5+Y$V;x`MAx@Y+gnm~hyPK~(inlsi-8I)yK8oz+G^rNK?s2d`z#9&t^c(c6!r zj~c8~6q21MFRD9YvZ^68Ve!~D!D#fN>m4ES2mN}@CmkPk>!8#OsaxNv&IKpQicIK7 zUusMbx0H4}6C`_s88v2Qw*hCSx+*v%^5@Pq2Or*ZRFINk_6VRNzAb=oczDoIDQa60 zO-9^d(XJK=hBwgysLMskZMJNx3%54-z9ael)WYrq=Axkd3KYAQ`j4=)78ad3o>r-A zh3~fSM2Q*EF%KV}-ajj3lXGc3Rq(8lm?rpa)kQFbeM$v>U2)Qnv+@_5U&!l}mfT2i zMxjEAy8$l~e`Qx@T%$-&AvGS@KW$Noah>7Q$9#Hqnz5$9DE2OokGM4Rxnv-=gq0Iu zlS6y1A}v&4;m#0((TrbogIVw7S8+Pv#>24B@u)6yi5+~fOZx&;mK8}LfLOPvG1n* z<{hZUvbuGjQgR>J6rjLfjwNx&(~dB^1H)ife?)kM)!$93>BQSMwMOCuZa#L&&snd* z#Aaq0?>wv|RoGjcJ(|S3z>B#|#&uU_k~(FhzMxPqu!q^_FB7DIu0bXCS%q~I#|E3b z<<<9c0;6&xw%n}Q&nbOTHiHX{d@om|AQ&Arx9fxcd-n%vN~1;mWyhRE;%ypU@BR+v zP3(9H98UguVt$bM3ypdq`X|Qbi}d|RW%6yFxH)zFT)~5i6%5gsa(A;&DXX}j58h-@ zYrf;%!6S2D6RG1Dj|PPF$rgXrm|8&m`moO8Rx@!djh9OKTGS8uKD<;6L@5byb?S$N zj`VV8-u`nC`N{9GhQ$-I;~NB9L6>i(O&xQ!S+|?gpV4g!pIA3CoA5P@!}QxHeh-D$ z(kJ?Y3Qx(X?NFlGb7Ep~qcA<_iD_QxnZ#E7*SW_cJZ`p3^V2{zmxw8`FBFM?_j~>5 z{c{*Mq*P+@6am3qaLs^X^65!h)Fk$c*qcRo+_sRD%Uy}3@dO#?8SCWMUw37z?3S8p zKVEZMth9VAGP4*u&9P8b8?a7(-vwA7m7R=rETLXG?K>xjN(^;#1eg5U^og>PyN;ds zd@t_F+#KfTZ7pyG{L&kH{+xBvcX+;$|BTiq6ee$&_5^?&r*~!sJ`XN#;{D?Bklei` z%SSZR*X4~b(qv&QlvZ_*-tFC@3rhp8Y2{(1EPwquS|ZyOesuwGTu+9NRzr;EyV+t# zz_=#D?~qSv0zuS1p6;4iN7zZ!U8KM4JZz@p;=1FDo@8tpR7K!Lgyk;xEf4>Y0s*#AB%F;3q?Q^azm8i)J=^;NJN!Ux zp#@JDWXj7p;n06gj2v{aj*kRWhqR%ZCA?B^2S5)doj{|z(xE7ti=kiqkO*%y2Q+hx zdg4U7G|RU%u71J{u*`0@%piHi%Q6HCWgb^q;;uAv9gy%}e>f&`f-i$%0xOJ{Yow)+ zZtLVQY_850(#uOVOfaC1mvbS>Lw!rFpg`p#y%DSg@)EK<7>=#pY{-kege=Q`H{@mY zJ%qf3EXP;DyEZDs)IGg!2uGX(L5!GGgrcFRDTU=?>Mo<@|Hw5Gq4_eaa{Q6`^*Z*s zp7b#b1ZcbsSoQiF%53Kl7fFh0eL$P!OT@LN{`;v=0G!xjDWd(hj$o1Z1o;RW$uKyy zPv3?ICGJ~_BS;TkEkj|9QlUJIs*y^vy-X^I%RN!)Z?UQrNY$uJQ9d4_tLjgaDT3v} z@gCeT!NVLuuq>WaG9H|aMgA~dhCH-bL&WOSf3hMw1+ErdWqg4%l~ji<4}!bZ;dmwn z$^_=}P?F*PA5ClDKc_XQHBpF05G-B}E#^%|B!ek?3!9q=t)rysirTz9F=8nILD}>x zUNK6f&G<0Y5_fDs{gOt)=no&=M+&2KgNN4ZVm~R}mq8NcDbOyC(P-UOaEIRgFzOpj z8i};p$=y>-)qj?0R{{(~Qg zFpimZ_(C#9SsEBm%im;tVR$E0DgLwu`VNbY{JqqLtWf)gvN+1b>4~E+QRKJ(N9rD@ z>l5m_#QO7SVnVTo{aP_~iO$Oe7;hCIdGZQ8kVnBBsj+;fr0PB{j<4oPMwX?j@`yB> zc1FlIxWzM8M7xa-rvs6hAbsX*X$O0gI5ki`|MApw$EF=>EFY}DkyIrHZq|%fL zL*puF^&B!GY%R|nW0-5&uR~qtOB!-gz z`ZK?be)JXC{eNu)7fpLxN?YHULxT{N64MW2aQQWU`lGTh8OV6)BNzs|6sn?X^nn}) z)5563I(46!QH7`|t--?#|NcviWw>O(Lo4dFoZuh>oZ?BQ1{Oz*^c5lqAoDK@Y(NV{ zW1lUi6A*2S#m$rc(gwCPU_z8=A}Lts4pd*=gMSXNaD|`c^Izu-&;XJGBMI)V;LKV$ zx5j(1h9dMC86F|PPmadEfolq2QkJ@C-DXruSgOqza8s(TbVzMzr-c3+4Cx3c`&Wv| z2S5LZik+-4U&OL+L)J7Ooe8j$d_U7G1 zc)EX3T>RfC>(vRU6&CuCtYN9DTz!lWc+(WJECG6aNY7xY=RzU<7+eNFdd1QigP0X- zwV$llpX$pS^WNWI(jgR@0|J^Ta0C80P(*)G5+*#ff_$Vw)gSCYV)8O2832rgh(ofo z-spEOcO{m_>9K~_OLda9dzV85f)f4W+37#9cotS(TCZuscGf>v$o`wZkr4zb5wfdG zRr3tSVto*L!YvFNB^TElD#nT8UPJ!qRA;!j)rM6njc-H{VF{`E0*(e)wZUC4Nv|%~ z=$Sqb*TF}}MS@zxKa-1KUEABpiu%m?56#DPU3IT4Ws{Z*5l7@7yoNTfg}TV za+E9)vIK=c|Cd~-P%y|VRG2MwAS>_&&ZiZ~t}ayrfv>wCu0T8}yBVh?&vzm-0ZYR! z6o`WZ9jtwPKg{zYasY)?Lv1YFgP^4Mh-m*Mq$5LhsoDsaM#5PNaz-I2`X8O=aH!sC zlw9zfBR@br&Ol^zx-`j!0tF}LZ`tUeil5A2;Uxu&U@PmxleGbOLCL#e0OpEZRRoaF z;~?(P{Ob>Q8pL~lQ8A2%t%xiN_m;8qJ}iZ3?|+~WrPR>jNJ}t(QeRGGrRAX#>x=}$+O6S%?3qRSBI4!c-t#5nY7n{I zJxq3Wsk&L}KePc$J;)0GAEXVW1TUjQHDHu){M4f-?j=k5J~jkara!<23Htw2PLR@` z*nbcZ{UyhSm<35Ok(lv-tFB-Lprzefw4u&+GH~(S1n)h!h6XgO(iM_NfIcYEfXXtO z!p>MA<@}+!BKkxq@DfQTg{bgK4?E6Gb{qrh=EyFXx=FsHaJmvG9 z2Jo!mYp8`2eg;*c#1QvyxqC89m#XISpsyD^`|#NBZ%$L6Z}En8aKA~$)q{K5%bXu% zBb9T>62ePZ-~!&Lf&CnUG(XgZW~1nTo$?A!GvcA;9b7nGvo!Eh!TB2cS47L)1K|ET zz&u2ZF0kStcAf{Ygs?D?=}KMkfBjJ ztP0+D@#p7!Wah{nA#f*>a1m32?Oi%#13)n+jbzu$iYUdx*{ZxpFJA$QEdC5QTp;PH z(Z~1a#^nF`z(zaywLf+9u>ajDS@*vtO?jm`k*V@OxGnxqe-2aw+^?h{b>>GFTz)i9 z5>(ae0o|qm=jp$Oh31$4!vqnGVgHj1J>d8b@REan|Hb~liEaOVaB!~X|5p8&%gdLw zlOUU@i4GPS?lICu+I8Xb4A4fN`0vuHk>Eh+F=1as>Foh`f zKW0b@8Oz&V4~d%`kv?R%UaIm(W9NfudFiD~WCfx#PIhUjO2Lu-BeL*;_bZ@@VHAl{ zT^bqaQ%Y{@1!#DY{v7B*Nd5>j_ts8AAb!8Vjx{#agKot^TeMe)b=4hamPcb13nao< z^GmYfwyZFqsKws?yv&`B>DpSh?v0g~hmC340G&;F_ zjiiLTg{|j|YJws$z6Qbvf2R@?I+X$u36IW~xU0i+ce|PDIQ73n@#0rToA`5q1%OAu z*#=5%+J6}VZb{W7y^6+Ow;;9|Na%(_sa09!g&BP}_A59<*0NOHwZP)fm7xarmU_k= zIj9`sUjZ6n>uq4CqHrv>9oqp2<5lR9AN%rnwKISLSm5E6mXcstlX2}%=!TX$9ipIYCS`J;Q-12B}duSe!@QU$jC(r{~@F~bGEcFsu$qM^fft)}U365_c@#tU8 zpVuyvbw;5QYF|k2fqTfCeXbV=$t7#oK=V25L|t+ou7hs_PDY%4AVVPC3kV>kW)>)BWUX3*lV7Gvgi2ueh|maKws~QM`c-V z03cps&_vgMEhRRDLVh{t7j$zIuNr}tjUsDu`gu;bg=YmdQdoRB5Og9X0cwBj-zM4aRAGkLbtUVcOCcvfGzSz_-9W}2 z>^@r>ih?#V^fnT3lj+$_b})-*-Bh_@!~m$omz8ALEmecMLuCAXY3ober=*rHk`^%X zKj-QF{1jBRf3p(Qt}ruzKP({np0U;(ZvJg0Epa|hSnXVCr~uZsYslNDNyKUUnZSu2 ze_d(s8R!t{UKI6<(iPxgz}1hE*Y#owdr-9St(6uE-Y1r^*sK9?gQ^D1ujNRYw@4RP zLU~<$%=$x4BS#M(5DK?!7&GAajLGC@`vK!Nz5eV)N9bt!6IoMQAs(bWuv}BNl|71n7)hgz`+%{8|E@>GUT%WVm!Q%n9bbcWt5Ti9d_}RW!&3 z)#rFAuj!#II7^M6r>Lby${39(`OOpCZj3)Ow-1J@QNkl2Rvm&+3Uq$z0rzv#69 zl2OT_xn=1xY2n*&kc=Oof;DVk8ABryMZ-MfZkw#F1Wkl#y+0hxVSJQm65c{t>9$D4 z2FZDLYSrEYcmD`#7yZ5iAHlsSNfLVSRLk^=EWr9T9BZaG*r~DhYp1gi`2fq1;1_wm{Hex_$HirqLW~& zz{^CUMH%4!S_8XZiZECX;6Vk$v=#nrRt4~bVEu9IK>sLIF+krS&i0yetV?wRZe(0< z+Ja-$%@)uQ;u!_sj|M&OmWX?ucmUIDyB6$V7JR#t=(*Sy!egYrxjr~MDa*Ezdw?ry zbV%7{sfHIqSJfS9G^K({H-@HPN)!kKLq)(+FS0_eJP7z0!zlzh&iA`q#g($^I8YW~H^Bg1N`D&zgbHVa+VKDZA$Nxb7ghdaPp_ z7()k>67$!8f=(ULx0fRmm>B}4p)^%*aTJZ)gW;2I#YJiI0GB_;DTzLgj?=fFd`!@v36^}NXp(s*6mMK%U3e7 z_1!n)Jp(YJ``N#y@d6J=fc5{=iTr<%LB$RGY9PR>u-hcQ#LkX4fpq;vADD*N#5B=v z_gBm5j&-EqUe~^mA;t#ADo{M|f5LWkGM5))mo<0$;?m6UN&$0EZjo~V4y^#3h$SFY zXbg~IeW>3eQ$uvxga(#7ke2wb!2MhT6@`!*jh>Hw8Rv!(+vg-><2n9U-dO|0gpqB)Tykxr$6ZINKi&pvR{ED67X1UPr$q=<)goT4_#$)O=Exf&%bS0Phs;MMMbLyr zf;1-srwLT3)!>OZb0)OSoYS20@3BZH~o6z9*kr!*834kajK?_k4J^L4n z1*8O~SaJ7&j}16T+>5fO?YA1LV0fjHi25CY5J~Zm{vY3V-)|H;2s3jNNdLD=9MGwN z#`pZdeI*$hQ6U_}8cy`506O!-R!Xbnbs&ccFQx36Kisn|y|Sq8ilOVk8}R=t0zd;3 z3V(zmeK8ODnG-<}WD&EaoU#q*p2r-f<}h2HU7s+ae}$v3@Om)uB#6*lRq52gbGGCpO|%Ds*@E6 z8-O3;+DvJp&iDU^R0f4@taLvt7CTimycHf;>v%Qly?1Zu2TJi88RART$L6v;Uz4fb zY#17qV6ke@AxW<;%lrTkqr)}h9!HrY7l~eK{+8$PQ@OV!v8}CxvhYnY8_7=b*#LMh z@~e+l{w4UTM`Hto;cuj1i^O7&f4+VnssPPJ^0o3!nvMN5mk2~w_~!K*>nkHcqZJONi>mt;k2eD(qqTD{$p=%nt?*_h^FXFP}ssydhr+WU9w@b zUv5gGP^T|To;|IwG&!=uf;}UoMKfRHx4Y%@se%3URPz{Gk z1_LyJ0g_-jD6K=Ei2x+Bx5S>{kwFegZ12#>L>4h>f;%iYFydu_9rR6-~m z9r~P8O~`cX6@;&;63~tVOzujP)N`XPaIoE0WxSj2f!y1eA(URvIt%ZBmDPAeGDAeg zz~RSs<_@r*)LN9}zyq^gFFT$|+ZWL80@5PpbIBGqeTq4Y`M8rpV7r~@^iRSQQG?Ha z42e8s1}Kze!8q};1v|5_-9C3}uuH043ynXN!LC;A{FW7h5+uda7uQA4LK&XYMkycS zZDb@vf_FHU6P@W|=q{o}0590Ng10BsR!RNmX^{JKiFOjjk3L-3ajLv}c8=YML9K5X zWw=k(;-Yh@_?NYBZrndY)4o@o49P!LOfmgu>YY(sFr9#!Mft;0l{h{xsI%vM_`mAb zc-|;(Ofcpph|NfYENwEVWY;)5QIet+e~}#uO#2MZZoH~S#Yv;heGyoH>L-d2+M$}Yq*U|8d6KntSYRM~ z<5C@;QKApv>&Vs6O_OXDp5!o~(_kkRFm`|kVfSt<@A>LpT`vn|P;&zv(+>cqd1^~4 z%&c#{+QF;U4);zEA#gX0a6vVokDK$zhpQwMyRlkpNI2lgF#%$ade5XAC$tU zV#k`DLa$&0>NsMctnje9-dnH=N+667+~Cez&Ss|sUrHc@IjOvqj4SPDs0ucXOs#fe z-}MY?0j6`S>kG8^!fDh}<0QrtOW%9|O5yZ~>tFNlL#L0Ygx;G}MSqPFM@CvKI1 z4R#!qpM=SpeH1V9Cgm{K$i(WqiR&R5x&s> zr3?x6MjclLzV_O-!6)84E6F0pf*{D=y$)OU~wBpoAqD7_1u3Sd-PAFk7*oZ zf^vR(M9s8272t@%e3%jls&X34*-iBKAp}4*ck*Dv_B8y3fm4Af#H9i`P@o`)CiFL{ z<)tVn?KgWUsN3=LK+<%eFOUa;x)4 zpr-MTjyut<(uZf~UBDPHOvYE|jD4|&%j(RIRkXX{&2*{No;v}T!J|_z$H8PNU=5hx z!DznKXu%_aqPVkg+MOtd&L>mMf zI!d@=pJ&(xitLS3DNJ#{2Pojp3>&677U*`TPzt);<21MlboYJp*{jf)qnyYphO1rQtX zuO!%ib4pN{D!T)HdeF7``0Liat(0;PK8o8m>r>K`zv)%#_UF&u7(OWp@B2L&2XYIh@g&L_wj`QCQUQvD~TgTSTWmP8lW=2SD8L(9j-) z;9q-TCjG!QMPra6fDHj`;0`GJsH2NdRfUK+y(KGr4wI}LXb(@ms^%#uOIN9!;IRh8CJeXYEWJw_jdEUrm zY-kNo`)#eT)r#*~FdzS?z3Yx@a@qFrC~y!7cBBXviWEWVEg*Uo6$F(kHAjUYy+|`O zK@V3E5kx`}P&j~y6oVl^2rVFlD$+?p3B4tu1VRfhcnVyf$zAWhx7JJFu z>7n!a3uN@oe1@t0>>0CW>Q0F%IBkl6GBZ)4u(RkZE41Mz!_K#2zDnpa?4JeJHsPi_ z&Wv!%aH5xL+r~m2Ss0k)8+-1VF$b*hR~TTA z?9+^NJd|)gK%(z;_B7Sii z(J9$x%XC0|zCvw4MVFY5hWJ0%+BP@7BP}?k(|mR2@D{nW(C?-sW#R$3oUqL^33|c8 zcw#6hb4S*&+`lwiSXf>xfJ9aXn~=F6WNQ~YD)e?^}Tk9!83^h{B$;{6O zkQt(FpL2~hpv!6<2O zbHJ-YnxUo}CYHenP@D&iMx9zTLm8ylz-&2_g-G>IdmQxdIn{S{cv;XlYJ(Qm)ifTD z(MCqZubi2tDj=ygx)HxdB=lI9V9w4Wz0`eu8b)B9;}cV%gov=297&O>yDL4Q*&7&? zb9KR-SM*6Afg@DUqK|N{ZNzL9gQFJ7Hy3NzQZ}Vdy--3T+bS(0%?viyX8W>tzlKmv z$+ML`ArSqMqFpval_*f{vQ$GkrvfArv8T!?M94Za@k$z}kY#ewBR)yoX{>)j*N#j% zbGbp8FivIM5UKeoQan-6__B2$7tX*6Q~&TbR>H%5tNE?cfGbWWz#kpc_-h^lHK!V?U3`abvAe5hbEN%(T}v#$nBe3ibv)-od32sP+0>69 z1VnXyef%V|EOU$cKT8yS=YpRgS-m5N$|QBz0Q6uwIlA9f#zJd_hq~eE(#1ISw4!q{ z=Ni39|BT0{DMeKYm3jvofNeL~jxH4u&+s5;jcezWV z#%quFbo+B>rrZx}r?%K%4Kz6eHX3$=3TnqpDA^y=B#ytq?PL>2MC*-XZ9Ww^S9i$= zbeKZ|Lt3KR_GCXPUO6|i->A;+n zTRM4N<(*gh47$GedT8^>x{syHU-jfWnTTVh>2mz>mL{XUw`H*Kcp;($E;F(?+p6K2 zXlkMD&`KHxq>fLv({P7o&5OeyIeJCtdwz1~lb)bDAl!W#uhopn^`f9PA-c$;@+;Q6 zJaxiw%>e;fg30Zqg<-CfZj)bk07`3h)>me4Gyy1SYmFR$;C{K4yOPTjkkQZ_Ld)~e z7LK77x_&?%N?m$h)r&qf-PqO`+SO94V?n$%Tip>igOt#;%nvX+qcZ+j!cfWjrL>od z({0^9N9vF7(w-?b_H;G+n5sYAu;GH4E-{Ii4RQ>4k=j@#6Nb{~)_e_DA86NZ5n6J} z!Wg>(m1Q>Qgx9waV_vRydX!^k?BiALF!#S*FP;1{b+JzRY1sVQKlC@)!fc&q>ZZiT(tbd&@~PZC9^S{Jhxf@3 z@tCR>=ihCNq29U_D&GLF*8Q2S11L)!j0RPPVh;H==SCUzBOW;#Im3Ey(YbT{tWz-^ z;k|aMIfUBm*|3u^v~6i&hqcAiOhFesK~YVX(Q2@kY+2i!DDrCAu)>Z3foGbr=2aDu zgtL(+cr~x!T~r%!b&b~o&HR_!It+ym+t41V6^N=d4aae%{Nu?36_LF%bU$>=hS;V= z`Y71WB!aQY{_8}3(6UCHFL5wN57?B|9AtkN-irwRY${f~-*EJ5@(O9XYA_wvx_sxt{CfHr&6g+K))1<^*|T22w#!s1N1LzMJEvw zwRC;EPN|Mio_F>n+ND|LrN`nypBwSC#d~<%yNCju?EU?MC;AvL!VLOLW5;s?)waoZ zm;J}zcznV1To4!jkn5e%L72cvc^65QwO8)*u@Mi;OEtX49;PnsQKT$SqulIo7gpcC z^KRh!%RexS3W)<<%aY9rzAyX%J{LEdgYn`mz2MV1 z8YtY1L%rk3OdTYPa3|;29CmUq>1agc6aZk;oVOc5ft7B!E)JMrNfF@~=t*3n#_U2D zI*mPqSlKEMfypAK3Ag!;eSy%VL&`zj7wjmchp}i}Xgn%tcF-DU(Tuk$Eu2Cux8Cq> zS)eKkHa@VfxPfp^a&GFNy_qKj5-&i0olz=P7t2l2y6uL?2t|j^qY0PG#?+GuZ8?cs zI*xYQd0uu|w_`0-|Bo3nK$>(kU&p^UTRt=uJA2hFj4gDeyIBSdBg@~Kbh}qNupmFh z$*wCUCgsGF6y#QTUgN_$s(v`D5Gi%ug-ghr`YuSt4srEPMg$>kdU1KJZw6R4P=&7_ z3~a?0x-xR^kZO2vQBbRRA8%-$)J_0JAE&O{Fj_tsaf#jMBhb~MW~oTd2cu6o8_p9W z{i-+sR@~-GQ}AQcM|@ft6~jGeEWxBUlJ|amGpN+2M19t)et(~LU*Cy7&|`2X$t#@4 z$2Z3$ED-eN-ABxhSv-cF*cO?{XKb-pZ8|`C6Mqv0iMl7}A~Bv12lX3_zE4&g&zeVD z7W82de;tG!+&xwPNt%A(=tlKltQvr>6VKmR?m#`A%BaD~8r9Y1$$A$Z#@Y9j5l+t@ z2MSk*FPzqCkaekn?f_`M?EfXM#*q^cY=c}+zrWPg-tl=Xg4ofA;lQD4^U~!Wo^7B7 zQVT~{b`|YV&AEVH6TDdI?3Nq%2!=^p^`6FIzto?y!ZvG(FaT zE`6+E-Nu(sM3$D_n9fx=&Cji?Z;)W|M_?rw*F(p|-Bc7lzvU$fOPNWIyZPIhmR@ho zvLn8F2JBLOT5Hr9aW(ng=*_WkaZ@REgprB+U;%h&a%v7PO|U1APk0jd=b9~j;x8Zw zX%RZ{p!&hw2{ECmBxeKV>}3lZhL4=F+T71mKK~)yQUMU0+Mqnv(l;Eb6>LVo)`ksw z^l{ZoVX2)%s$sw|aX3?J*&saH&_uxW5V5{;fN(mEr*-b653-g6oj;q89uD^Z!#46Q zpV2|4J7{h{-Ho=ZlBk2U;Jt^s+(`=dUF|`9j5fVTtZvP1b+ADh64`2i!W>*rYwko( z#fb8n=xWySJ{z;Unq<}F{OMfZVk)Ak*FVje66^LB-LZhF%rmgD;5QBrCzH69Tr!^?_6mENF-#m{^IH;|5p%#;(2xw+2SgsT$2Fw-x>*3VAnG=x8cRYNm9T7Apx~y zr^5zwKhZEp22tLCM}_Dvk6S-922cqTVb0Y$dp_6lguqdzDxQ^Nh3mbOfa__@HyNXYGEoJpSvB#r9nT;&8rg0HDUgl zbI#MxOAD)wEhpz_{*S>O`D-zT+`>ZcieNrzaU{Q>tg@2BopwFDSvXgAK}6>hb=DG(9mNOMN`?tE}={4Bv6*IJW95m!0YM84O_Swhs_45 zjW3={%YM-P)uF+mbE?nQ^-%MO4XOZ`lItA-RCCZg#qj03Xw>}x&1?P~6CRIk-N;f! z@`ZayUCutn$)AyGFuYYi*es)c=$W-}t+!6D()0H*VDhJuCNs$q z_HDSqCKGs_y56e``n~lrm> zGMa#tlZ2X`dFSR`!PB%kKAQE5{n;_^i)}Z_-u9_zS?)$q0?{8+%t9#bF$Gjvn~y8; zqr4%d_{J>T6PZrsZk_JAdT=KXqW!*>M)=#b32a0fEgnpEX#(?oDVlazg(Cq|i|0^> zh#jV(hpccnMw=Y=;aXP;LSX;^#ZhyHJZ>;GmS?^$vl5;J=$aPulin!nvRDj!CsamN zM@RwLIOVkDc;v`Sp(oNpP~_TqAB{`MquvnX&%!Pm_*a5K&bnyEcAwyK2WtGitQckU zZRCF|R`B>?JYMpizb*&mfsr*7k0q;^r`}gJ&s}hmyZTxa?kwT=Vc?Ye&afvE*z`N0 zmD%Y|!iI9i5@{T`8C2+&d`oo;9T6{0+#usHG=ZWL^oP zXoqs7(j9vm+6B>u7VKwVqiS@>SA2v8*`MC+i*tq8?iQ;Rk(#a-|NAa+kGK4cZ}r{U-fKdDx3G%FHJ1D|;}H?dPYulg*DS>mOFN{OYrG zYB@7IJ;GpLHglogVQx+=oa zh~lx*&;#p4!20LrOxB&o;w$5E2jj)$56MN;hX8FI32SZ3jCv|u0-+vo#*x>R!!?g1b2+{21G1J~SiNw};n%cmc-lt)A zG&J-^;bs{!Q<*1V8fkjR8(EFp5my!2Q($=(a4diIurKvKwQRK*>4E1d`QbUV6$gb6 zot^t6P!q+sx7MS2Xego*?_Xax*cxgg&pi!1LOoNW+0Y=DfqNZ2Q|-Tg12NJs5`FCL z-58zdTlroJpd;l036NsHftT0T_!P6-1p=K+fU`+j9gHPyHek%aJYB`epSTM7K@S1J zj)4jVB7F2HS-G?BBIRf6fY{&S1nnL@QxYpU2h6s;WZiI*v+8olo2ZTlm1*aqoKvxK z&HQ|)bDdkA0mmq!<&x8%tBiNoGl6+yZEsFqf!CdSdB^DZDX5ZxXfeoTdT!{h2KH3& zU8BkTz}NP0{^B*%iABl8yGXme&e4AP0v2!qH#q#MZqHE)w^ZCt{~XTp5@vgF2M*|Q z0+%Z=H5~P0;ety3Dz*n<(J4hJ(Qatm_5H6+U${p*!9D7=??8BtYJs4$Ep~m?;&62_ z`(u3Bo~m);%e_DIs~Zna<5iZ$f)c_k3T5dS;%vTQ&^R#CV^XvPDx*Dc{q@Cz!<<&k z5lq^pjpZ3;+a&;j4_TnZEO5>Ld!YAU#E1WL+xIi)U)>tMOO$=a9iSfo=)s`hUu>rAyHX07{XAdYEd?aU9;uT=2=NvDeTkHS3Q2ob`! zec8bWewgX&@Voa~n%|n1`C-0a@Iw)s@)O*VVFvrZz1Zd^K^=PZmpl6%1I|=-g1-Cf zub*!o{;+5GYsOv%o0W~L|jl4(JZ_>Ysu_o?H+;|>=!PJP=512HD6 zZuzd8cW!;&)clW$1OUPrXCis!F$~_FOx|mkjupAG^fcQd8FAz*_Q+f!pkjkbcI9C9 zhJwR+vi<@}MLIL*fV%)@%(5DjM){O{XB0$=bqaR?z^}fBZq1gh?rfIWdrO!N2|$4f l8I0S+n7?uQ|Mt=fdsa&M{Z9_R&2BR8%0>OZ<(>zJ{1=YKglqr+ literal 0 HcmV?d00001 diff --git a/data/maps/floor_1.png b/data/maps/floor_1.png new file mode 100644 index 0000000000000000000000000000000000000000..ac26179978aa1ac850ce67f48965cca856171fc9 GIT binary patch literal 569811 zcmb?@by!r}7brF=Ws4Gugh-b(2&f1GB1orn$Iv}j2^9pT8!UPNsbM4)1!$QR0RgepgS!d@1lL#z2+rOi zJPh>2t~9w493mi)x-0g?Id%fx9iE<6Kp-!rv9(nj>lbUue}OFQrr9)UD@csu+Iy)p zgdCLsG|tQURbwl@cLXeIuW)_@bW;6LIQs8*Hlo+P$-cEdM!$*6IgbN#&!d3ZF|us{ zuqRIRR->%xXS~TWNzfl_SK%6`oD^hW*xuTh#umxj8e+-684p z!4Qw1Nf&b%JKtv42DaEC3x*e7)i2KlG{iPj@Y{AxrQ}4g4y)Ncf8up6fAj|=inr0A z?}x2>*ZQBFwJX9OYZScV(o+3ewb;fD`eb!E13(r&PP}lKWl2s}rCRe5ieloFzF&bB zPSfu}-R;`$IvO@$suAz)86(bqz48ugM&$!O+5NodW6oas&7h-GT4*|t9QQFvwr)MD z$hu@(hub*V?)aD8|1!EUF5?B)7Vr%WjwQ9 zI@ObUL=LOhP~6K-(OVN=^KL26S04-UH(O0C?$abd*7PkXzniEo8P?VmR;|?vy(-a9 za3RfA^}&5Uk$9dKL&jhj-3>K(0fp)mTvL~)i0^DU+ijsj%X#>PFZJ{_9@ZhxAAF)$ z+W0x3)M?i?$Ugo>$3*9}npJ-EBiL1bPnoO7i(Lit1dCgVBG@iw!qb0|q{cKNDerBR z=y~KA7E}uljTtOvX3;lj8eX)j`%{*{9K04CP7`qrR@L(sQmkL6W_d5D_!PmhhSi*! zN8B2MziS??5?fC%dpKvU^Ch@{D(;&@W)v?!r{+?z9s}_bz~n=qtUe~@QyRh5W;xLt zlxd>b!?$Ba>L+Kf%2-v16Zt^QY7}(xWI1T513=cTp{|Tkr89i6r`O5XS}1bnuHQ^3 z(2u^p_0P?yr}M$_sY#W$&XJlM{~2QiEuz4##}Q{^GOx+9^44dmu|8`myBe1a5#P{y z>on~C;X~71Ll+g%CQH|ipUu~|Og|S}*0(bwyE>vPrh?WNUj}*2IV8!OE)J%dz77+v z{w2>NySMKMVb`mDWjEr_-G+@Z$b@md9PBjPCP9Sqq9x)MERuRclFsANu}m}V3tFv{Z*{-idLVYap_OK$cZoGjappt8XU1;G z2@|I}Sj;OVu|f#bqAjV3uBd{YTW)lPeDRG*<$gz~JA?a6WrpcC%95|A{WTMBH_QgR zim29Awf`PC?d${c-7S+~>C_mACZzN87yWEaC3T`pB&*~&U0Jca`Uanyp@U>?28ch@ zJSpi*4O^zCQe;M>!Rs(4Na@)?ukrlo`JD63S00F{dN_sCqok*112fFNrF3e&1BY4a zk3Tn{jWH_~iJX(GJ@iC*2$1$H(F{hB#FdxR4Kjj4BM8xW%CI#*gU%3Z$Z>WzjtHah zM0&MM`P>g7M2QqiRw0^s$Xthf<`^>z@<)blH$}BdMTkquBsf2UqBYkgbH=`#adoTv zA!|Axck^^+TE!FTceb}y$xmGk*)Yi5Qd5@m7^;58ysR{}<@aaNDm-z<8D+n?*i%%! z0P{fVX^+`K(SimmcH#lqQHJ z0r9*c2qmgLl!KRumt3a)dCgp=h@4UIRi@ahe1hk_;CWwMo@RqMhg)acav%SaFp^)) zYZ(}5J=9iv=xh4h#sWx2otj-5;}Em$)DJ`D>gP(CuML&z9HW_6#(ZnfLZ(c}jdPSw zOB$FezDY+7eq)`0%2!@*y%O@4p;jTVcrMI<2zKgGWkULES)Oq7EsckHrt`91vE?f;g=U{hzDxSf7N@zzSZrO_wA@Pk&`O)hh7@ zqSs-+IQkAD1wY;vYTIvk?)SgC5_;pdXMuHKf5Dq^K>D^R8v$Lp)xm!?-?f=Dv|poUb?LNAxKB zTyXX`g_mTh z4Uk{dIRxpA3FETpRS)#~v{Yni{R@?Faj?x=&hza&7dI@+%2~tH-`ct1@%+m|r2^uO z5t9BiYc3GATVsz~y?;b^d-IZ7_(v-VVTSCG=|JbS0?40B)F7sFeLpEHtU!wD^OGJf zI&0rn;3q0%6QV<)%@RgJF5PamT%zw1Y#wQJsxKL?2yWP$lv!PsoLIYMgpx{b67gHN zzIjWd-JEI+z?rTTVJ#8 zzxWh-7 zuav)8eNd!7FaDY?ohG7tX1Z!JRlFeg1Z=gM@@;FhTD_=Ki*mY2^PyYGjjakOc#nT| zy$VzITnduJo>lB=#h|Ck^HkIKJ`KZ1Ya8D64AuI9mTHouHR>nZl|R6*RGY0r7IPWF zb0_l|(|nKV2=l5ONwM$_JI1(twc?NYWVCa1EPZu-?TODxR<-47EXrPH9ImJDDi+Hntkfk!8?l3O!3_$(Bb+jB)EgLI!J{k64Wgd*gNM!ze~YBM8Sy?R z(#HVyLHVawi1?w?tzqe3=CsF}FBMou=2*&3*$MeV!gLuE!?}1SUmnMiz4I^lVW&o{RWGH z2z+s(T^`v-);2Nqpl(spuAp^hx+7Fg&1^}8#bQn@=ayN4bk}Ok8&l#I3#F*xY0s!; z_Q>b_S*4Le?h>0vQC9g`N7N=YP6=zn)}n7s8!GBNe!-&6?w zc}bPE#gxfR`=m$O$wH-ffhyBqOQt&(+tSO~^a_fRjO35m6Tt!71x2J0!ZUwrE{N7Tr(pb61^+cwhW3A`2yFk6&Pnq$M z;u!UMI~UFHt>sH`uoY^4qB>KQ{@ zF^e!IE1vXn&~wJE7zfoBjs71XI%aByb1h~0SAOUCkp4&#fs`9=Fo(#p*!`qTMf%4? zf1UfNAzS9)1k;)@&#X<35%BBrw2NXm9qeDc?uvTCk`Tb-p_O?~TbRiy_GfL#`!}A8 zquhR)1l2jD{&u(3)+r4&A&s5=tWO+J&KGVK^jHMDHRd<2jzQQQu7g|aLwMM0jaQ(} z9qQh#y2`ahu4n7TWpDokS-~zjS;S;i46wK_UZW3EfA_16x>Vdvqq3=KR!GI}LHH;7 z1WikeSN)g53Y0vEnhQ$m-YKbpw9Ge@A)rkD)2E2_qnsbay@NrN8%ulW(_fxe`h4X+ ze=+2dpI1?h!Kbj?TcI9HQ#l1p^BHwzGkQ6VSua24sNdEysr2P7DkSoMXx#r>5mwb% zYDN<~X{)L!Q+qGnOa11rl;Wo-)zI`$*?pQ{Lw=~;4ronDg4p*AjJZSzviXMgR4d4Z zJk(Z?0 zgJtPsOvX1Lb@pd!x2t zQIAR%AP3JWQOl4XF;}0Y;g>gUE_Eao?F#LlJ})9=-P8#!LC(IoLOUqa!+Ee% z?A!@1QAwnlyw`>J*XP$qQJ^9twSs(CsFm9@_*3RAwwN5aeMDrpjiZ~;lXd!A5mIv( zJ(PbN#Pi%R44G~KX;0~qKgwx2A!^v-9UWj7ZlU-Lsj(=iZl%h4?`b!PL!~0K(_N9s zCry>bLY7C_NW1q}pd;scH{!IZ*%h;Qz2Sx#0WLg#aMRnCs#b0i94qjz7O!U7yQgZ4 zJ%dDF6B8iFdpHjfycxWIh9FTRY->e(!)u|f4%PMeUiytdlFDqxVUHsWV@|f&C$(A+ zL#LJzy2s-O9ji7R4>jjf^CZJB<=l7~6htKC`7Vo^rSmQ_-=bN!rBynG`T>kFO(}hJ znX zZ~XB}@bRL~lv`Cs)wD4Vnr(ho?{(xsj+I#?vynteF@#)Y?W3gM8X@*i)k>AB|;GUo~HimRB_678rC3+aL9K?-VeV@p9!wV}BlamsFz zj(MX(8*x-}6~>_p>(Q}VtZda!!&|?~balC!ioCmZ+aXQxnOd(PvbP>i=83c#Te>jV zKE`y*ogF`kJ+An!_{c8KV$}D58!ZoiY zn-i^a+fbDxe`xkiw28HoQj3hDYP@Q8&Z`=(3z@zu^KGRlV&klqOOPS>>Jb(G+`%?t zyXNO@yfCD1^@AF^`ucBC4|7*_AILU{Fb_S{nzAn_>hzV6?uWo@TsHNB%EAL+N@CH2 z%~BA0jfvTeq{(8j(Dg>e^aW>_vR!0;<5NqjvF0=ZmmG^*4M~*5KNNXfJY=Tq9ks41 zm}e51M@)b&^RUr7EqIi;KW5cg_G_UNjF7m#Y1jZOX>V7ZyPYAwZiqZT6>%Hh1)-0m z>s^(0Nk(3>vt>FZ#fFGE%7Gj$x_O!VoXoW6E@i}@fz7ja`bIbu zNj>e3R))&Jt}JD6jyEnC5Tp;cm^J@3eZZ=@8nsXZw>!TlR0bvO<}VNd59I@`bvC?i zB}U(}TC2aUJ~^lTju{qps+Q}rCpE3H<<(cY?2j0%YL6Afvau~IBWb}rW<#Sf;U0?d zW%BVkHZFX(a@FIwvpuJZYoIl#jQcsJbKgB0I%`ErejFJd$woR|{{5Tfnar(6wSsP+ zXWFbk6hEir<$^4A8*f-gyTFQDlZt%iUYk!@CBN}h?eQi>#iR^Q0(uycJw9Z))HVn2 zVfFn18Ay54%_)m|uFww$t;ghag&OJn@$EibV*0zJWkEk?X@$z{ukr$>)bW+^W11EHrWB;mL96cYO`Ln%JpH2TS}Kmy0AVu$!YtuB4HCqGpWw3^14{pnHvXK}s{ zay!i99ARb>8!cbyhv%PCTs{rm2_@AttVoG^Wvh5DO;oMM2mUKuxv#6GK_y6cZkjtC z$;6YSVOf9OXlS4Z;{xdA+*@HTUqK_!BKF|m&l>`W0n{*vuPiNSV%F(b zV96>Q=X8C>6(;li1p1@I8}AQ2vL>-}%jle*laRIwK@#`QZJMFp5J_1TO$a}i>ebJktAh7tAaY$B)EN9OnT8(0M3Dn}XRE>P6h zehly;q#_oF297aTUSYVNPtM$aV@zSwuo^%hFi}c}X2^j@5%Jp@* zwI_HqCgXk5*cnv#Lu#&tN6FQ&IY_i&rR$lFeN)t=B(ORs*G zb^NwL(yJI@t)$pe5f7&&Zj~d=ks-5eq-vZW2YVwJLq5wc^QCu-zYPAw6yd5C-bxW( zo%GLz-w{sgAx8PG;}EJB^wGm8|7%(B$0dU<3skbNgwiXXuEl;6g`g7R1CSO>%Y|9L z3#L9<4pnci>xvnnsOxUEeFn$Hen&yvi10; zW}?cpO3VoxC6bMl>F{NEiptaoV#6I3qGCuSXkmGB5xzEOXIOEq)>s+#&5jxs@+p0N zLF=aw`EN6#>avQ;Y2MPcXiLFb1J$+PN!jC?(ci|a%N>OpO2Ud&Qajlr3Wp%y=mmq7 zDo^gL``+JJi`(h_zk0%R--j~zN7eIj`DX}ON^cBuN|=p>)Ho|AH>kl)UG7KD(F*1= zI{5wx%}?hdLpnypMBRk?_xDvtCI$b{p}+hpmpLq1Lwbsp-$?;EnHL~MZbAK{scuB& z(9f?%nxD<07qoH&`?lF3sMsFBdQS~+jy;{!nG??z45?8pg~*w?wu=tj7e-gp;i z2}+6dSo9W19lawr?>`m#4ANTU>bB({H}$ii+eq29wWl}-AfcaEb{A#r!%A1E16AM`kNL!%p%I|w5$w~VV~Zh=0;WcW&6e6 zt@!BYr9S1(>!S6&Cp)D60Qpr5@)=35pO>CB4A{FA(Ne{9wgxKFEvn_#KZA~Ma~Wp? z7i1mnvja5jn2bxmjEg^m=c}ZOY&|#pS9TsjY;^7|&rfzN5w)N=X+=@gp<9PU$}IMIGgEzV>bVVdKr5HZYDXBqiW zo>dMiiFy$|CQ$alyr`&?!clV0RO4h!W*wtr_q#p)sRI&S)I0R!E?lmZZU{ppfL(XJmI4%b}9Ud%A|KaysIsZ4-uu_&rhW)SasO6 zH*_qlHLf?)+v9djE8g-pIs8{o(mAcysG%Wndem#%g4Q?D>a6^{NMzhB&g^4`jR{#J07bp_i;Iu8~pJ@4=j98ywr(v6PMfQ zRUk42Uy9~FhS!=(1$BqEPATdqME4G?C6XzW(}!$=jypWmCxYuMg zeq$2Ser>n-L%c(SnzkaI>P1b5a;+fqdA*d*A7;W?Q=ew^T+%gP2A+Sq+Llz2=Wxj< zo0q4oQ#s67Qucyn+LxMUND|3u9>v_MIk}Kdt5>v_R4YP7Pl0vJJ(;H*Y|I4)W%&nL z+h9b?4vbFFjJz6RJE)JWs|98W_wHbGA1~u0BGKLU0>#(4B$gv}9pvh2)Rs=cETbRV zJ3NEcNIk55NA)Pz;bMDqs0PCuc&H1j?Z)}?MULs1N+(6{wIs?O-hr9f%VRMcZPhO3 z1#nxDHc=MpR7yo6m5YGCxKh(5QM@?O;hHoN8R@J@XD#qc*$K+1wjot=Bb%P<^;E-P z`_*X43k2YZpB^%H4*}h93m(_$S#V-m@;NBO>1b{fj{Py+H{+x30jdk^4d zZXNn-pE2I;-iyC2o0nwYW@VV~{p-cwj*=G~RE^(p9etqzY(8Js54lHJx@jJ^|MY7Q zU$z9{J4@e$g3fI}6W0~<{c^X_3iSL}-ti$pTmajB4GU4iq}Mgip1=dp^u15v=taD% zaAGBc;Sd2rEko>I);y}t2~F9eUV!Xe6x+R~TRH>;Uy$K{{p8*8z+6$&+h?8xWBKY` zcBSY4p_9NfBShN}`YdolSBY!)bF9XQq#om8#TRH~Slxe{<#f@^ybk|N%Np=cRqySDd8ka*(dC&D^X60EL;#(fai7|@Kba`L(+ z<-f>6e+D&XJWK!%{C+uW=ad%3Nfd)EjEG=5wTG7eUKl_*uZgQGk~?GWWbbgZGf z@`1RnkV_cpr3`v4u62T-;LaRbj8oElfQyIUUMU(%ik zTx@|xmUx<@k{-27A-WIyPv#|kqU+q%w*YoX&%m=*;CZ@mnim}L)cEvbv2p;1cavEO z7{3lLk18D}^CpWPGy?br_vL(kTL7RfW?J+(0Y<(%jlt>9&8Xw%Ip7;$G89`>2EYi2 z@aUeCIHz-mR2(P}neL+}|2H0R#Hl?YE@vmIaH4$n4!*^)6;5N4U-&O{JQet>-!DrLR@ud{;kA*m%-%CveuyIauVUde zc*X&b`;e&{^60!ueAs9Bc@nRo zETgwEkI7-)=l*z^LbxbQngYBGcf?C ze!t9ymlaL)O3#ZC_6OrLCJ5wThYKfVK&K{+cM~l&-i0jxu+DN1@F&=@9RO@x&dFro z3JvarCI?{R*oM4&l*ZMwE?)kcoHq;9*B_j_qf#viVu}a5a2_myF81L#A($ zZ&Pk8{I7h)-{EE+_BjxinxCau?&Dm>Z`*jp2`#zS1A-B_{GM9ueYBO?Ynw)hH2Mx#D)alLL0Y`VSsOE>Mx;RAvo68{dA6sC3gE*^Ck9?M3@-=w3vsYowRU#fk;fDch+F z9W4A}E^}g>9;|*neQF}G^~Rg1W@O+`?yt*Y{e^=Cl=O-TjYbc)Y(M`Fw<~I=WwP#- zfPsP;5Hn@Z>Rz!Ed%A0KEqjE_P_e;C?z*VG=(I(NJXrF}RWY&-OHj_V!B7I+XQ;LU zer$<2H_kZi_Nvy@)5gS#t|~P*%-xWruZxonkBb!);XatC-U99BnI29WGt)doEwMzy)-Ctfo4r$dah>a=WX)LJ!SP-!GQ) zI&psOWhzRD^iyu9;Z$#-i}RR~fV)$>BjdBJO3C}-7#S!R>-#EPEmduNE`oHcAxitF z<)RpW$T^vZt2|7eQ$LXQ-4wG0X3U{ZZ7IN_Gy5T*_xB-BC0VoZ#?pZyH7vI}MIyQ{ zp6&Z=+siQ&C3lfnFKJ%?my2_pTQ_Ve?c0*|s?^MwDi#UOFX$^;UfW}I1K21t+BK(} zk*x~V=hqTY2ltI@ami~=^Hqw28aw;C#hEO>y6EcI)j60qDVvafN+ZaXUzJqz4`|!n~<*e)yso zRf`w-T2QuKR$95rg#xcQ>cEBy%)$W3b<-vljwU?s-tCHGhYbd~w_kt3k=F0gqLDxm zkttK2Whv?d0}Zf<&YhNXXSeu3ne>?dQ8J<@#K6+s5< zN7s0={wPCmdR><`!-cs5E-cRo{1Gru0_4-X%7@}t_npMvKb>a$StfpVu7P1amX=Oe zFS9QSD+x{@t%ghEv=bs=DlqGT(XZWRjh$UVhQp|p5A!RBv9JnN0t%<^GvdDY?phF& z2ire0rAxN~fh;9rV4Bu;#!j5%9;6)HPX6K!Kq$8aOFJ<>X+|X;>DyAQ?#hI%GWh`& zdHM7%jX_V(_A7@UNf$`?(D{HJl=nIws2*8pQg?mv4kmf=)Xg<5(yWK0H4}Gq*4{oX zz)l>L>n|(`W@w<3O@G&PYDjSLBZpFXcH4!>)Fsf+X*t(1x`~U(G524Tg_jswsx!ZQ zq`$;oL>oMq2{*-T1aNQEwO=3s2wU;loup6zhmvHE$%C*X#L%Jha;|3i3qbLR%GYwm zMaMs)8lp;+;v)=~v2bXQ=f>~m-wPqN$z{dUn!kO1y2U&yNY@Qs4I&${NvSV4W>#RH`JQ;8F*Vw*D09W}(2?~PIu&Sy zj)IQ1JLU@@Md4@4DZOsZc=&k(1~KBA9T^+^v)q{elyQd=>yTiZXmP!MxTtAnf=EGS zlF6EymtOv)!&zgd1|HUh>|9f&fZ1TKOlb4^I*F*-5o>eLJ@fKx|KW({H8Pe| zNN5GQJgFCbtEEkY!34~m*M##5F!yI<&-xLV?re?W+~3O-8rJbDDo_pLKL(A0e{=+E zKBbnENXo?~FNqS5MqI1v{1sL!N)+Dy!<0&6xISxs2J<;^zr{mNycs3TyGNtRNT5XU z?H}%_j1OT}X9ks~I;72o@->UUzrHdvMY43?(49!7!r0Coru9U zbuPgC;vRJ~>Xs+|0r+yJ;42c-TYl1t`}AO`ydb%Y(z(jlfj_F_Rk%((Y>`U$)!-|< zCL1u@#hT(d?Rs1{WEieP`SFslEQ9$E47&hWC}t@y!3}ISvAiN1FZv^p&u$Gh8c(Ku z&S^Voi#Empl?pEfL=9$W+a1NABLs^NY$Ty0+Rn6=SgGT}BC>DGCwOF!KiDR+zQx)B zLnT4M7st}tRa+eu$bDTA`9iiE4^N8|%C7Q;X*Q(=SM{hH9@8k9bo@CQzTj^L`nNH&$0gm}(sxB#8Z*g^-xfz=&bZ_vcF^sMsg=KTt_mXtWz4Z!fi0Nzc z-~zjDBv?`WLK**4&@Vi23Y~b|!8>zyFMR4X*CntkowNmcqu|+z3_lr)0i8$M|FwlIsf;y`~MR-X}DZcz@*uI%`ZWc3$%MFvgxeJX$8PtFwW~Adz08 zie)c*WVs-8X)youqR<7?`DmEI*bi*5TH1u6H$V{`2;WS>47_J0)7dB{!oKOSiRn z(LWdr0JZG%Sl)ljsGWFatucA25SW+m_tL5b)MBnVSLU<}LzS>pz7V+kEY*kf%AQB; z8+X6?XlCu90UMie3ap}o(fhra^#v?0`w@Loj@aq-e^e!xOgcK?8>`IC;+~L3&$+n) zD*cIEBhSgeV`W<9Lap7=dZNflhG4f&c>i?Am}S*S;3Y+@)ucwrBxr8ta$vd=!^p%* zZ#;8-aecIX(Jl+dR&VHKp0+$i@%5uzrk=IU`dQsdV}aQMxetDGo{bw+G_X{Ujp4vk zUK)~?I(cE3=*u?I~Qf2WmbJ}(~rIsLtkyp9Xta35!D}y31sdt)^ zh`1?-sx=}34Gbl~&KSo8UbW`5+QPQzVbkn4&ON^vd;9tD>!ec~rq4&qr~sqhn*>dr ze5B!rFd$}vK_wg&$H+*&jL~+%Pl(L@!J@0&s@Zl(_INc~HFY(rU`7L130hV*y2-Mv z4$bN>3n-|#*q!b_s}&c?aKf%DZ&OQ&^Z5->yn z%O;!;HUUd4yQ=}>ztR>MR!Sq+Gm-Ya^gJ)6+DQQ;6#yf-L|WgVi1{<|bpo!r+SA-K#X3r3 z1nm?&B~n`G&b}cyWg^owU!vIf8Tn)>R#KoNUL^=K0B}bn0~$zmBWl;TYJ!mrM@(3@ z)n+~$mA8H<89U%}PvpVt{6*nu(78Lq^kGzOMsb;5buqwiIHrpOn}T}cdYvT&HUt~e zL`!tygyTy2KFURzPqP>wlPcvQ_Ke<)G2#}X+=O_W7U&-i5488-$#|q{5#ulmJOo5kyD!;OBcquJ|K3v4g?aY{am2t#uitL6! z9oKnF1}v6_4Ret8zjOZ)u9lIxRUcGrnTdjiE%WhIp5)H`MVbC5ki$v5bykqgRBM@K z=#f{`uVQt9tl@pZ&`tBT?tYZQQOIt70DOsapkG1M;rAn2XyTWfO+pA6QQ-m42p1^j zJ?KA&*p{0=5k`*}vrX=g)CwLRcLyR+^<9N>CP`3c?4uk-97J15YaqM0s89%Tc>u{# z&QI0X;?>>_9lO~@b$I#69Vn=zc_8aR^7rZDmmy{uP%3LNr7LY-;q<0o;>43L@A{R<`dvv)@1MoWxV=5Yd0)M5Z^kU8Z>~!@Ik^k8Z+4fzPRb~GoN`BFS$Jcu>{Pj+u*2&RvTyKO9;#^H zW3cIayP^U}Pkl5I^A>O_g8*T0^Nmd9YHvRKM~aKhf_CGPeYcDAhZ8c8(~FswlOFNr z9{2Op($nvVzP&^GML<~NC5Onsk)O*=+|0G}f!L)HJR-Tnjh7vF{jY_AxzUeBS1z_H zu_uofx5WAJI((2%H8w-gLN=sU`J*@P9*%SFm6{DmA6qWW6BcL`#6Fw}YB#vK0z{gP zm+f{j+9SKd2wVZx>LhoWz$lIlIn8yuq7G1CXnN3nsV;%IrOQ$NKgK)PT4I$;?!9PJ4F>}>k^ zpho)1V8+^@TK=9|Nc&?juZ`I5egbx(mz#WY3(LM{x9883#3<&!JE3Bea&~3*ur)j_C zA70A})}JJgdA@V$d!LJ?+Y9~65*TE?8tk=pQyw-d&DGCFzdFgZ1d&M3*<_XSiL|MA z7_>!(yf%wo5rm)?77e>&h_5i`RohO(Ja}$ipCJ(-9!Z#AcpFWvJc+eH2qz#VHA7BK zPPl6%Mk0)7+O&0blhei|quN!DKn0duI+ zrcRKfmdRxaxK0s*TsrpXx7Towm-n#9m^3_g zv+#uMC*DB9nbs}cuFV@6wokLVz5M#TyokRRIR>mqW` zT>I9eNm=!02ulEG6t8o{qzs@_(ZvfJbC#0M*0uB80Fr!aH`H-soy4zxc&O&B&;(oq000jqZ0Q& z@Y*8;&OrrQR-}|G>8zdWp#|TYB%y8ZhFX84Mw7@fvjXl;?KT|+SOK-MYva+-h{mH= z^ot!V`vja5A)A8U1s6C^3>0k02);`O*t~D1!iuVwe&vR2GS?!&jBK{F4 zq)!wI>GFjOBowb$u1?oeb?VA#{2qFne_|nVt5#AY&M7(04{IrGl7MVq@9m}CLJYot z)UJ){Y*h@eiUzF)WgBlm%hNS~XRcb;)nAoixF=%Fb2$0xquAMK|V&?5M_)JP1&s24DtsI321Nq)(wX5L2Q!|tuT zmJLb5pkJubi{c|f-;^uOCA*m(47cAXETR%fq0++)58Q#0w)KlcfZTEjmVMrx-%5VL zjeLOw`~3NtRcfAgFK>$em7$cVPn(yVOjG8~tAdJ$S2kaqx_kA30t*(htVOlbg@(S# z-LBZt*&F$#$BKXCC2vssZ{8Rrtl}L`i-z5+`XREBg-n!4)E<6~y0wuo6k*Z}b!T!> zZ-trZl!}xpIGZn;^3&}iA|Utxu=%>p?!lBv!^bylP9Kh)?5LkbN{JKtwtxZ+hEpYl zN0f%A(@zO<#ngJPuPMnDyVsEn1e5CLKhi-Zp+q7}M3N}j3I`s?Sn;{V3jJvg%`GWL zP3(*_66=NjcPQnkO%yEjaXV&o8*h|<>T-PBTzv3mpuphUBs(%v|Jn2bw#KUVWQJ!U z&)`Xuma%8t)&r6U;a*1ZBMBn%Q>~SqP;{7YE~W6LJhQ zTJUg5(1Fulvpg+Mgq_eXorrpI!oJ6{eJ407ZQnH8dpzU#y21xL*{FY@xDPz~^UZP&%A}tz8em^sQyyw-HJJge5uyM+x>0^#3ZiX$Q);u6gV7;8-y1PtoTrca3pJp#4{AmTb7l_~G@T3Ua%Vi;*NkKG#6K{l zqT0hiZlkXW2h8@M<#d&FM{t~bV+aE7|D#Z-{72;lLZDX2E*I|}F6e27AYK4buxuMI z7Gg|u#f;M$eXdX}8KQJ#J7?-CG3>VIs$t*=65r9!Cv8up{9)dz$Rt*VX%}Rtu~I@N z9^#I__Ue*9hbJ|++UxS&lw?+u*^gbb1R&}74tCtemC~|Qn+I@4B^`#xovF6YZyON= zdEMi`n+?^!Be)H0(K@J+4*&=J!153X1dIdEZomC|rOaXlL72|J_jQGU&rhxJGrT1J zdMr(5Z+15u?>z_W0BXelYbn|`LjpqXo@*WqRG#3xY{D8RT>hhk>Tf-+Uce<^eBwc| zOiuj+D5(L;Gd|#9RRWU#sKuQc*!H8pu@iArjz7bL0Nj4^dVv2i_jZ!){6H@)R!S8! zE%4WMqwTglLnWVQ)a^_uo9%l2zKLi9bTv2zZ0F7%*@rILVEtcJb|GHd#jm&jqc8=C zC{+FSW8ZsXJr7jn2H`K^$!8W*oYaujo_=MbAA8bP{h-15pGa2sHDL$$aYuZU7*+( z(727R*n)u#jHuEJfaKu(e`shhp#!Bn2&Z+)g9Inq0h(WYyRKabx;K(lX0>SKK?Yfg zBNMOa!LKiN3eIg!O7N*s0{JYU@(K_WRd4KRV7D_b{M|*_9IR*_8-gHn5x;8qA6j^) zTyuMSt7|YW?mpbWL%Ee~8wvJ-+yMZ&GXRCaZxs%7V;&PPUH2Y{0*b<#3=Hwj0HL0+ zNQ?R4z`fi9e+@Ym5-q+yxXRZX^~1TgQ5Am2I_KQOUCzo;x%0yjaE$331Rb2mW0dtC z*iLI|3NVJ_WCy$dKBJ8xASQNe*6uB|XqAowQWt6~`|O5D?L@|2ymkQ0_=?IYlNq`OnaT3$?R*jujVK{LmyvallWgOstKKteSSov{U@!!~%1Hd{X8wGQ2 z(vv$A8j4r4OMQnUr12M0$I!gD$qU14oSW`Rh3H1n{H$9NJ17=^X9X5zoH$m;c=*h} zWqk)?L{Iv7Xx#7>qcm87>OPRBdzPHK&Kp?A=75<+ zm_4GyB218B?}T#S#{>j!Z=)uk*D*e`Eezf_6|k1A6&6#o8p@ry`+ecYfv+)-Hu83_ zu5k%A;9zmSPcKG<(SCMeEdM=S9~@kEGa{-a8I4L(;Wx=;?XunI3xogfz2mMFToLcj z5aa+F|8vLNt+Cc*AL>8}yjYiLXu3{BDITS(!1u97J>#>w3BKKQ+dj-dQRzoY_GChu z_a1v8%YF!iKHVg^e^Fz9?k`vtna?=FWmfsd3`7bu&?Q7SslEXGU--o%|jUT3Krm`45MW?Gmut0N;x0bVGX{ zHuvma>1uw=eR4oQ?1K8;1~x`-75MoJ&Z|RPisztcVFBu%i|Q2l84GBE;4^r50~`p* zcU`~>Rz-XO{!CKGg+3Bip5e;%(8NNH-AwfV7kBKw1`oW!wTh)TXQ5OA}dhoDT0VFmUihAsC}+x5opg*VYBYHGzE{V&6ADxc1eHx(VUk z%nLX@{nWp;LwV=up76!K#A^vB?im%3=E$5eFuI!;w2O1!fCL2g9La>0IbwH1X>sf? zffZEa?!t~P(`*3Lm^cn`4Xv%~MTZ{XTJjzHz<2GJ*nwfTANk$~Up=ADiIyqv|JI99e?QkqqE+u(v9GM;po#;3%} zwL_1J44?l;8{ceW%VTL?ya=4fn%%yp^nX|m3O~Gz5&H`7tA+DtqFjpLmDJsU^_Qi9uj?O>$h77kJ+-NcX%|+1B{iVkf~1V0%XcJR~^T4qcK+T z;8|yy_kYD(S6aFCBbHaRLkO?~*3}sHe9ow*6oN}5Z^MEW0Y~D@FI)7f80KTFyNxYi z6af)Pxq@pq18M&1bY10qRSxEO<0OYY5#7VWO2g%bR{aPuDNe-od+eED)e|`MjC81G zG}@3xC(`lWp9vut#Vs{(O*P*;?j-VfFx#efPScQ+4m9F z10CR1+)cqX=_UHGcbMVfxB7yhRw0b5$G!qY>JlIpcqV1z758n*#%2 z9?PpZb3NYh-;?Lut-Zv&`g@=G{2w|C4YR#H?KH9>$pW$^uq+F%P$Ebw$Q0 z1uZk8QKyd5jhpV~JP*=ibBl@bS?XTl?}7IefHX&*0*Eo?Jn#ndXk)4M*bS6 z=fE9YD%}O}f8s~HX?FJvbci91H;Hjar(zs>0PXH$%ytxuORJ$FblHH&<$v(RjPlB}hJJ_}z`q>ZMpQ0XNhtPzp~eAcqZEh2yK?~=yWM@~68>P7 z8Us@C2Zld_q2apm-Xqo!SIn3wUH$2=PpkCMtoHmrxUeKj?=wrBc->a}w^3()i3H-Z zq%$mZ5j%N(hr4%;3W5NENV+GGj)N2LybONWyuE(lvMcdAIk@a!=!+LS?iJsyhfH}u zy5STK(YnL3vpDYe{lNDDUtC0K8!3*f1Ry9)=r@pnkvVpl8tppohf1um|Akg*)>o_p zpqU`qD786B(PYB&xNIwkRbbmNtpqrPnZJ4wEV|l{qI1CE521(P%M3gJ&leo|19>{^ zfJpTn4qI1aX!O_5e+z^xL+8Kdi6=|#Cw%WoE3`$}Z#d$K1P(^qhC&o7#d(t{a=z1PW{_~aE0 z!w2MX-bDH1bEC@p|HEOl*v_WB#qS@fNu9wNB!KKkP{39+>^M1&Dek#v_qH} zfj@C)qls%*$}jC&1tj3gnEEs*;E09g>Ha!a1luvS!BF7?<5XPn%=RJ$njc8X?X4~W zf{#k!=$W@sB}q7Z88lqp)r*Zc-q-#$qL)#n|H@7yYIaODyO!C2<5l!W;6UlpqyNH) zr~w$+KJ|6CB^CwPO+?|g_Z4vF*^3cgYU~$S?Zj#z%OQh5m6<|I0i?L>aY!#33F7E> z+K3gO*Gu5Xh12myf1CYs$GY78j{TzpEZTtV0pEXEw<;ih;Iy0F_W{;JN4e^$pLKv! zV~JToDy z^!uBiWzO`p;A5-AkYIyyX&^A@uEL@4(Fnc(rcALjk=7P)9>P#ebm-0lf69%qyxyL5 zIL_lW#0_9+CkKcc*{|EbLk67=4EEIg(_qD*aYG}B`?-H+c z1IP@FlB@T9hxGu#5$Jw-_1AiD!`)WMd9?3nV#Q}5aTmdQSU0AP5RhIv$*g#k^{=nA za=U8Z2>=>yB@L&SgMP=C=Ld-OQuIDUkS#G=)_V@iC~g8FC>egPYM2os2{_kPA~AqzQNJh_j}jHCm$pz|{aS zJEX~UAD@>0*zlx&bK?PKXkdzV|4NtI$m;7OBF^0>q2Ak{^6T5#XOHp$$ESPW0;`z7 z=Yyq4@+-B=H=bW41;YHBOW{m2b!G?x{?4~09RiZO*wy!m z(zPU(MMZmSm3Y^ZO&4wX$J=`WXt90JO($aVk`w;i#oCvN`U6Rma+iGXqauXZr|#)V zaV7tUw66?^>ggW7SfC=v4;3UuL_|uuK?OuXKt(}XrKFc`SX*gHX+=s}Ksr{DF6o99 z1f)T_|FgTm?i$bg;k_Sr=gyotGk509nG+N2>dwsgatX}F9ZUOAIz7{xlgh1qi$`!O z4k4tazNVIAs|T;4k|PLF%@DEsZ4%L_u)p`AT@h!TUeS4U>a^_QPjNt>tGLV)K2GU# z{u6Zr(;Y7yvPH=w_&tf!q{wf-nL&|gGt!4*)P z{WoC{_JGV{>)!032&wC;Di$1}@b&b=qaU4d8v_#bKaxREe-7Kk2<=|;dDH&aYv!{( zbh}F(QCM;x&z`v{)kDt`8YwQZJmgm7mcKHM(_8g%F;qtz-m}?~;zUA_!LQc6QaWA; z0-UL7Imv=^D#1l&DxFg8#dZx{?Y6uyA}Qj#r?%~KH4c_~tn7mH&c-YjgFPG!rY-)3 z{XTfnhu$GpX>0@tQT#_HjA?pA`L2!gs;upLY77w@-i3V#RlT^qQs~Tx@&G?ngCJ>} zuk`!Tmawwyk^76%iH1#&?YaeKXmt25KOMKEjXY_rR z8JjQHyOu^^HE5zT5Kw?1olGV+X}Kf!@<+1dn?oviuwPHg?1_XOTqqt|Qn2qe2!3f=sG4uaR|3 z;3=ph!^D`mA|1yW{u^B)3{GDj!Qi?(vw*H$;d}lu7W^)2|J7RHs&NK8U?8Vc_z>9Y zK=J=p@tnxWCZGH^fnjqZv~=~?PSt?fJ!scsgY0oG`d!F>atb34+EKXdssq4JHrwWmmqw!IMmO>`1u-h>K8Pn{HzgX5BH(s#REgV zxZSd}r~{5hk5qJ$qlF&M0NH__1f~j(d@QHkiAVp#IZy_`Kwvh`#f!(jAVf}|=BcP? zesThsLj5c-0}IZ0i-QmggF!W^H*CL9G5@v^E#~H`Z<8^HT;3lBXW_)L{eQP3%zQ{p zLYuRYr%~)3$e>aI#Ats%esLEp%TA(VfI+#}>aJ)o@qW~sVCu{CTD-xDiiKbgnQR*V zE$aTnSp3`?2D3@gMO~z5v)|?*_ef8F30_8HLH{_%#Yn;mdO_!8=is$zmdDmY zm!HpSt1rcu>^q3TkNUMY{5Y89g1AfjF~$-b3qr6{Xc1q;cXuKY!|lcdY0J;`+%LWW-&WO6@RRklGtnbsOXppg z6Z!ZA-{bDBOMAkqv3Sn$0+X*-Vs_FV?I8(nD7lFN;$Y?3U;_P*9Hz!l8B!{aQ@n5G zz>oN|pM!_7!VMx8tkP;P*+V@O1so1{XM%Ni@Pb33ZJ!n8iB05Pfsvm9Vy)P0u+?@V z#=e7;ny^Rn1KX?dn2r(jZ^$+^7&h`noCRK%pEXlww=?9Q>y*j|bCJ+-NTJpnGfAV9 z;Auvk*&8%xDz6h3@01K00Rglq@Cx^*^l?12wVR-!;Ut7~W$hAFlj?}V`G_dM+&cXa zK})BjH)x2!f{M-I-8?XhPa~OejRS7ao?w|5>;ag#3vLo1Bd?M|GjX$NM>et20?cA) zB=f{tbNCjPfCY>E3XT976haieguR1M=|DD3Q~94hgi z6j4)A8>`d16#@Z-LHQH4ev#Nu=Z*@JV7~)KveYfrz4VgAOM)I39L}ycywR93TiF?{ zh>b^Be6k}l!xx;PJJ}NiJ%k72s2**PAQU{}ofox~9RD-?860YP(*-p@sdFuRg}WV) zOj=6+#MFK;jhkdw9mf_2LAF1KMkC6o7aiu-Hj?`soVVtKm#mjWtF-B^`%Js7kBTLk zJGth6jB>SGQmi1qzcljY^aFD@9CzFLRIwzm!MrRx(EQ~cmgE7M!qhlm(>CV~GUZ0% zo8@U6=oj+uZ*BBjPHw>i@_5>3PGHyTzj5j?F|^NT2 zZ?%t#IpvORJP~4ZrI_|C%pEKajv6jp9r@MV+)vn38a4VOUa@OnVNJ=PVH%AUUc5MS z9NnKZS6ltMBoVeUS?~Y?$K^*iHxh%K%Y}1$?OR1pT`ul|)y)IJ|;2^>89*s_;ao00N1?-iiT2kXT zSZT1e1hFLSJQc?My{{zS`}z3p!S*@A#xpGBFd>byo7WdS^#k&LAeukue5BXwn&+B| zGaEXKU{=@R7E~c{JD}uGTtQEOsCV!ntHaaY6|@pPQp9j58G{tG@RYse3s!^F-adi{ z92%bd?q-e5)u))us9*Tas`BCcvpr^p*f&P`YCY0*5jnZ+ zH$V@Xvdh4wEQF1qYUvW2Fy4CHo|;<2G(*rFZj+L`=s^G>)DzYB=)4DMAWj!TC9Itm ztG=hxU*NUJTPZ2g3ij~t*us#^gIdjH2U>hKobXro<~~o96uICU6sH(~iU(kX zcL!@~v|DheBDrUm%I1!U?@}ZL0ZIL^4#Cz`l;>bq2d?0R&=b;-ESM#J)37^cQ4(Ya z1F#B9e!she5&cgga01WZ|5MH#FCFJaL5~So0J|HoQw2^U2%h`scN#wi`<4$DVqHQR zwp9iH6mBtKGt5eYZ_7%||0V;XA?CT+B4wnctV3|W629^lp!G@Mf!iMBjVMz zcSz%lr29pjA+U=hVW`>=n#$V%&2|r5WSVD#LrptCZ+%(gQACZDf97FW^P5L^>!V$o zdc&+5bTM|YXiL3*^Lsa4;FDAAM)mZxVqgDzajQ&i2M<`@u7}#4cY%0t@RB(=fUz8R zq++2Uh-x9_*o>O_Hbo&!KU~4F)+6#XI??J}{EeNCLk5>oHcVj&5FD&KT#erMBKYjL zNfukoj1qS&(J>NG2e{86hVb6MRR(EU{(wMJ_CR4E*wIr?IV6cd9YFLLb}=>`?J^@p3ko z{sI8^YhN#Wa}aE;xn=N|WKdeUf$mJ3ReXA zT;+q8Hf6~YF8%`ol0bs5x!ZYh+baDh*mA~4-HV)Q^C|!HV`$$O1)e5i_)59v{U-`c z%)^#gU4%BUPK57h?0-PQjNM|vR!`=|zp)k+^v{7$eg7B`&~hPY2|J5b(u&rk?fo_I?AUlX^aJ%xD$fW*4*0n%Nv&lX6`aP%`CtG%sdHyhDw9W z=dZ^uDuX*}C@NdEKibjTNjmx6~I}d!#e}EAEBKXX) z3KdAd6D;S}FH7dR)x47PyA=tf|GZqJi-PM&l&gZPtOmJ_quzEN`wWhy$(9FMDw}JIPdGv0bQs1W0er_q4y~- z6B%Hx4#Gg%CxDKS3)RN|P~^1-p7>zVS~f%nc1K*X)<`~1NtmE()tfLTu)i)~ho?HL z2a{|50VZL{b`|Ek0~7wXCXWLR1D^^n!vR*H&=IAR+VN&7d>hihu$7B;^$&2s;tw;> zkVgMD>tNG0qyaBEx>Ij#{B{Tl_;AIOZR+|X6@nzBcPj8lVlL{4@l(I)U05i@ou@~= z32*L9L70S1p1zOGL&Z2tFyQ2Rvfx63l75^S4A?{>M2xYh;8qLyi9$+XL-{u*JXxXV z^<$jzg-``Ug~PBu;50TXinI?gT=&6=S&GGPtaY%tRSbtc_5|;A4JOmf*{3jDT#ioS zzzS|K5KY3i_lK35DPp%_cfTM9BtZedPRPkY!6^ZUU;xt??Cq8{3CAiA5 zyd&T-Y5-w)hYIL}qdL}~@Or_AukYjF_6UU+hr6Mwx(i;O@XzJxJ-x=WYWODv(ABf^ zW4{scDqo|i@V9-aKF4*!>2O-3IIVr5_D?EYXU6F@`z$SkRFrQ4`@pxZ3LFG020dpd zFryEI3GvY&++xCTTB*KuJW>C*hVsE(lYwT{1G=(gxoT9{g7899tV-^0RRaGtVIbGQ zoPGf1k302Uh8r*E_RGwE)ExOMmMH%zE?dI|EuIDxg<9ozW1#)7IA9b&xCC5q;a}DG zIgkQwqv0yIS60DAj1z_rYI(FX?EAOpFl<%%&|TCv@8?H_|2fAdjH|PN2_0Qo9OT#_ zxWz!H;vssLW!SeLbk|=WWKA3pLK6=F`K0_jp^GsNcfp76pI0kX{->Z<-xOtOtWZ{fWS2{1&7pj5SGNt1+k+^4nFSARn7C4`4v*%_9OLx^RIVFc^d)Wt_-l$ z%v2ME=4*)7XGb;e{Z^P=3zH6-X49WwfMUIZPvjxC<;$Jwp#QrtMVQyeVO0XZ;}fRGB~LR z*W#fCW%su_+d?)@A}07&ljxmFD?A5vK?cX4YiBS(@D#^8jQ0O#&EkfM7mr>Rq?5;fLF< z$f^gP%{V#`!lmd$nkF-PrrySmD8-f3LF9}Eit(Vd-{(hflQ?yX3nCCalYNa5&XcXi0*h)F7=g+-AT5fZ#5uAzg@Jins|oVQp|PAXbjW#QrX& zKren1LAMU>3T^WP>u7n#ISQY$W}+wuJGZ6lwA2~z)8wWvNJ9cL0o4|iDCrZDzyfz1>3>G|jNHnOx1Pcf+a6%C+ zF+=X{e>L*dIGC|<2_1rfeEFLc_osTT*n}@hqdVfacEr{LQu%-MgG8)cANo7&y*Yw; zN5DZ=+xpzHY5j8?JP@M&+>ZEKd$ z1e}tVi@{M8-_ zM9+UyYV0$#1SW9`nBX~aMo;&-&#af0N@&~B|BP#HG>#>`6QyQ!0GTj}Aw+hs(Xj?2c1-{o7&^#k16y_PHptE6Oij*bF(LGXW^J zWRL;pYayh;RqSOY=mW04C6Ro-K%6$ut|EuS!f^8-1Z5Kw>nN0QI! z=cF&pb6Ddg;JhTebJ==kvq`_*zK#V^^z>->0M6%QU~>z&{I91y-nW%6g-JuQxg7rU zQa4!i(aXWf+-ZvY{$-`B|0Uah%L}Ihc)=-SRiNL%WF_!ou`h5AKw)1g3I8qj765x< z5tt6%xF1cpg3X8@(r(VVj$n0RE$_(r*VT2g;`Ff z92}@3+m&%(Hkt~)zY~;(D$zTgEP(3dA1g(+F(HeARIx3~&voZ; z3odHP!JntMad~$KaIrsqi}5TIN5~!kdK`W+=r@}7NG|qrL4IWn5#<9N=f>e@maI1utv{la)yjVk1*n*%yo0L?O!LKfj(wc^z^~BCp`<_} zhIw}!{)__wL0N|x<`b{{ZX)*~14nX&_u^ziT9mVfIB7NjyT`XA-1B1bumQ7cA_1U> z2cAW;c;f~kZ#G}QhKdf!Lnk@zlR{0yN6TSAEI!u$nCXEy}#FmT~5|jh& z2?i-%BzVyP=Tz=$)ialr_CMxeez~LCV}WxYu?+3xmH1%(%JDZlk$gY3Jr){5nP@H% zeMVhy_SXmH2OOQv1saMA?v*rnuT{& zK3NWC9CB-)CW^!m`&Ux1WZLrVC@_#O;h0U43Fzry`OXyazAhH6-IRu7I@T*V8YRrV zxKjx@46fFqgc`<*%ALy0=%$|9%>_XUEf^gQoU(>@js&u;2lu=+=YDG@t6lp&(xK<- zwy~u}D2WIvVaMl8@QRRB-Kkv>2)Ts1CEAP`qXi(q`H{5^E?2k95PUk56=!%Wa0Q;GbOcO4@G>YLQ7UwO`&&M$aoqIc%8pVpHWzv> z=9)bvIr^l#)GSm2bYy2Bb~Hje%5uZpyTUV=O2I6`>I3-nyXkez4vEmnZ5G&^r;^E8 z;El%DOcAfpJQMDzII{0G4AVMr<1V$2P7AeN#pjVShhDg)PAvyB?=&1zAU6lisBM2* z8vCIKo9|L%_^JQAG36p+om18FoJO}<0sMuPIUgz|98X?fCbHQUigG<>dz6VjU&BZ! zaMqueZCB7DNhK_0`%`E}3e~ZU;9}C~K5ctDvovV=i0wHPYM471WM;O2?%=O=bWt(D z`B3k$t#0IcRCg9R$Uo+Noz>C=Wx-COIb1ltTknv#_50`20AdeO9Ft2ATa0n6d~LifFIxicuiWR;}(#M%smo zazDJqRbE_-I}RZY*EbCV>Jy~vi%r5DpY}4QRP+>Gm)mPrCwDiBIZ1~_EbVDZ!wW}x zHOCI|vDObAT#F1LK}}aP9nOr5o^2LTr>d1m`KtINApdq~t$KIXSvLKNvFK~+9Ff6P z0sKmxm7Q=&n~(azt}Obi&Q!MRjL|JQ)-AC@g%3-X-QM$7`YKVS|I+{9A6T!Fe{<}v zTxP3)KwXfDIqQ+JD3a;S*!jDTAqtwY4IV_D*HSA~Coc|O){c-43~BBNXTZqo zoopQo<`t1(jW7vcUmd6{R#M9l>C@0uKi@b;Hf)}4eu7GXV$G!M`X>P`&70Ki-HyKR z3bR`(3c5lZNm;!zyMpiOga;i@{%;PM(btu{;bA4Uma|Z4Bzk7NHv02eS3&+}&OA?d zPI-z23vw)Byg#&+jL%F(u2(%Gzv-uPym5a5>yxa8z7w&HUW(<~Uj`kr$~v&1&n*rH{$-A*hOdbaeU$FZ7E11_f*Q63piY1d~ z6c8zUOjz~{PrS%)>9Dugj&StK%K8!$mF<&nv0p^mu&|U_izhI`i&;LXv9Xw_f~r6H+^&n&zgvkV;~Ct~ljtcthS1gtkR=5_8RY@V01 z<6sy0+(csC7~+^i02T|b3^(@2``i`S(7R1d%Aq;2#uM#L z3s`~qqTS>*_V1zI%-?!KEwi|9$Lhq^!sisnJ2jUUN|=Uz3Y3f*n!V=TJJ<$~^~qq7 z6V_k}lk@b8lNX|MX#CE}7S~G5$;94y-}@YUb!!iAm~c?UTxYCkz{njJm((A}HFYUc zJfoYwHznS!p2(~u;QgUI!H}~eTcCL|oetJmm6a1HZ;{_<+{51{5YHYq-W0!}z|rDn z@yWbfjiuKx5^KkW8EOSe{ztGJ1NY6lFQ{-Yo% zH}5gt1x1Wba?!4HEpSmry(jt`>#i#8`$@zuGs)5Qic@wc?@0@z*GC*0letv7#tzxm z@ul}Ax#U@^ST(S#@r#o@4xY_U6U!po##$48mWF) zA83CePi{aw-L5!AXJaU(UeH20d04xu$=#xGZ{WUxIRR2{J*xH#-IVnrzT*8{$7N1i zf8}D4GTrS94 zjW(y;A0JIrf38M*rcPDEp~GW-X&1BaD$zZD*Mc7`oL`ISowYEiD21Ro2Y8GqUKzU`pAhsb@OE9yPRy3mxoUT9LDDjjyKSO|jh zjaTyS7%9=)j>of)>ek)=ZxBgFCfQ z=7)^b`c}!LswlYU`dS{`BvA=f>94BSP@5goQ6%RgHErFmtg_ZxVc{8g{i}b|lAZll zWY85Z(p#Of#HQ4#6WRoUDG!;XEm^Lz+&1iRiJBrgoZcE|Iyf8ER^Y~yBhb-HiL~X& z2o!1ZqAjJ{Vj;nN2Id!bqkrFXw223ie=GZIKJSY`^GmfDh{A90ps= zG<})P%9dN~mc7}!krD9`nh~|UGNx-ZS9MZ39yf`w)AxQE19FuUJFCG^-K{SJ48iSA zG}3Y%W$?hpR&D-NFZSjFn_=SV{0Xkbo*H$wn5cO)P20HWC8SZ0a;BDR z8?)CrUXux)L_8=^GhCr%_7*mt-ALhm_{zVxPA^AV^8ULP0ZzjoL3QS_oim#$AHF7k zO>@hiu8Hh@aGRfTQZr>fk=HO#Kej%(KDOz`g3tL$Y9~O>h$)>|m%VXrZ3|<&>uWgB z4mbFf*d8g7_v}puo{H=0D0xTnmh`>UP1n#zyz((3$wQqcidVZLLo>z740Pze%ZI$o z+#7U7vq3AL@0C&hT{*?!!yonNvY8*%DJt`_1ey~X;+M zs#RsVnz+GL?PQGJY)W=#K1qv+>egnx09#%BTIdZkT2y-CB3cn`_q#oHH|iLsRfew;J0S1m?eE6eD)P} zEJ*73q2h0rJiI^khjP7s4@cQaeZs*&{k30a1|r{n>9c${k7f4wT0O@SI^x*ZwK7q7 zenGUmYW_XLwO{Jyg)I6k_QH=A^u1PsS!d;Joektpda?4nYnp2cwT0>2Qavj9-6{Vr z>3IL+ATE80Ar9pd)dfz&)tFy`#}bw;6fiz5Ax9t=4V~Dt>gvFi-isMY@5L}p7PjXGBG59-0)!MOnw)YjR~By9 z1jHan!!kxHC@Ye##aA?iDXr1!baG9QBry?miKM6H!#yl91=c6d`q6$#t=M=i&X3%(Qtuatuv$uDomB5^LI~^$!*EM2bhf%?ibmCg>Z{;*lned*- z>tg2U2)O)e&}n;Gn!nip-s(n*p)H5YRQT2{3?{hZE3Qb)B60g@U<%r5!_*zG9MlWi zteeiZ>+`_{(0sbP5EfxNFO~yrcHdkub;kw6gb@Pla%2gTeY_IDRtN|wA57n3YEpfC%6bN`k zy>?c^tXY4cn5ixvKZe2tlRtD0$E1Y@1wS+Xt3d}VgHNO0bI`6P#y%X_Jb;1m?{;@@|G5*;Tj_pn`Lr_Qk}CXici)h0 zLH{TPG#Te%25Xd8@95>9=yP6>A?u~PIdK98U?Jrx=~Fl{xIwTy5beD}*zUS8ag#xq z^fwi%5JJe0zb&6Y{9a!vsB8#Q z^b!M_sN8!PJpdOMB&eXzgNk^_+j{utK%h&`GEy>eq?327>J#<15PU_YS3C zj8^zy=(nC06mjY%{ME&Tf`BQdO%yOZ9H6PPBCKH=iaUi6Cpd4mQrAwyy1Aj3V zC;geU?U4<$GnytqkYUWfaN7LvXh&9QWDKU5oeTw4%xL)>@fdR_%{Q}EiIf_?5bO%u zQ&vZzi_BAr01TNUgt}oE$(;8XQ#yS5r<1am;?J`1~B$k=-%fKy5KCaS-EZRT&~EtLP?R;DxCKRT<@4 zWDu%*Ja@Y1xB@GNrj9ExfrHd}6dFR=f>G~wzAh5d0v!(9@IIKpIsY8GOVfXZLtB<#*#Z?lM%t2Zb znmK*aJ_4jQN7NvB@rrQ;Cuk7x*vGleQE*)uL5-Gs$1cMh&Y`1$@bmoEf2EFmk9$=} zY6+t_TB5W+N@xXL@G`C_Tc2B;yE!p_0h-qf-Uk7tm>_i8d4#ihq+*&$n?~7(EB>Rd zOwnl0B{6Z(26xxbtbLJKAMNxVe6PMXk{U=>|P^%E0gEM=qG|uj~`w@or z0cqB58H8<3Dm!kz+8WAWG|Hm<%Eynm)F8Ts%sLD$Sq_P{8&z<0TS3crY>T0u%0N-tFS7 zyaOK5KJfHNsaV$=b)bm#Fv;%w6xR3J*olZ{zSjLLe48E9) z%!+80_-D_i_O`C+n|=lC%#Tzvd^*$(w~UT{os(+IfIJzr{&B zwb{CJYbg=h7k*7gLTTrdL=MVj2q9;5iF@ zd)>1Sp=@9(K;?5*IZWt$XLUsFw@QKiP-^mEL)QdXV>?N}y8qsb?=6DKF29Miel?1u zfH;Q83x?+nN?%8jA9}hMMzJVW5Mt9mo0qw_9wT=nTsFc=X5uBF>nBMYrobTw+&SkU zn4Sms-dN_*wIb)AGo70hklE)=s%5S~#@CDNk)CkIRq^zLH zVMgACv&f$PGQAHGl%sD>1bMEXhv33CMDURtwbYRJ8xE_y_luDt;RJ#;E=$~yhVoLa z=j_&41GSw|*y`|&{qPjoHSeQeZb#p{nS`+DH1lw{8&Uj*z3~z#+(6Zu+NIPnVcjNm{`YeL|(#r~0Xujd|hhQ0 z`q~F)y7MXaQrcZHTtzYn#nr^sZ>I9(TVM&z@J|m&w-YfxYE>fsMh(@F= z?qsnbU*YoBcXGGHtpk~WPl3nvO8?DWN31ya=L^TYe%uG_ZzNQa~<@!Bukzi*Fg_v=FY}*eHvPK7@`=Qmk3lnQZiyt+-@LWIXjy=eEYmtv>$WU zFU!}`Kj)7l=ikFyb)t($wS6jwN2vUyZZ6!XSX;f3O{tULrQ02RKs8JINb$=clDnZl zsx{8rTfzV8m&<%5$IQ4&RJKqa$_{zF!=oV#q0*dwXCR8lduc) zMr5X&1=eH+jzUMmXyx*Y<=<-&hfQ8rw$)Ioz4g@EdhP&&YVv6A3B?nKt;rI3-OElX z4X*fGo7L`BFuiP9E*i0zWo{T=Ho)m6B{9fX{3R+A|eyfmtwm+ zKU5041UtH~wCjG%yV~u^Il^NUIyV=azRVFr?K^S6X!hm@^Ue{awP#Ihov-BAdLD2+ z3hWDtpal^@{CG)(Z~;iox?<0^QxW!Y681zIJ8Y$-QDR zwaPUeTmN61p1`rr19QPi=5hB~_Xa)JH0|duZ)yoFw)hYv&UQLkTy;K0kLOlsf+NEE z$+Tqr_aoBfW6M zFq@iP25QWL=dx16MJnI-=)3#r0whJ#*KSYU$cdf=81qe=L!99FC0dA{%SB-hW2jIN0H1~pE@$f$@^FDTD z@jyI=pG~E;m-W!E_IG?5hMcu4nSKe{4=)%xWmV6|Exl}$WS`ng6CVFuNfTzg_{qzv zLNZ>lwlpZ6Lc{rXK#&R(V`;~|*QazGtv)u$XEN(fM{5&v(`!05yRrn!)VM6KwKcTn zWvyB^&)uT)vL=fuu{v*_sxaJKoaZ$c697f~^`G&&vBDoqeY-z{3!+q`KNt0Ge(+=!kz>_Y02+~JYrWW;#3%|3!)u}i_kBcE#8A4YP(@zC@=RF_Uc=YY&&inTOjD2+~bvp2Ah?P0*d$isJbN3E;{=A`uVOi=f zJlUh?*w^F9eO1|mS{a0?_c}#H)eqG6<*W?p3MbVV8(*nOp}&*iLGp~6iZw?nj;om{ zP|!n!NACU$%QElsZt;;LP0XEv_bXE_#M(85J&k8M&t#IQyFXODjy_Ac>6ZBWAibN{ zuHIfbpAvUHFLCj3%7aCj&8hFt3E|cWe@$A`8dlGwv6|Uw11X<_5GR{g0?5oC)B?FFm$p^F-vZ>ePsE{%d)C2 zj!Q0!`wXhfA`Z|qxMf-W$bC3oST(;AMBmedQDsf|W(8jVdY!F`z7%}FK-eBwi0YDQ zRL-2Gfe>VVQ#31xrkdaN>{z?4(aKHu`1c3F^-2*7o^sClEQ^B*a$hQ%FwS6?V;+W^aN*=ej_>1f9H~)(@?$qVyND zghFQ|O*z&sjD&T#$a2qypNnefJpM-8F67E_-k9%gE$W=5M;Oeuis)<(t}WV}DT=rp zaji(lXezO7CD|jPU}&}9xdB!xKTQmr@N(b6D6dB)v@bdmo-r;eUXoGXQ0sN#Wz9aJ zvX%x;mKe!v?Q>|$>rOdwNW5`Mj(p}-eTVUSOXS0)FC=cV%V3uulGv`Bwq!^}6mnIa zJNuL_SgRo@EvGhZX57u^ify1gU%FGCZEaY{Pz=UU0Y~)oOHnD>C{$5EePzYOkbS}M zL#6Vs1W57-ySbe1YJyy?4H4t%ucqfH-PS2g5)*2nx-ynIZ-(9{4dZT4c#BL1)4YjU z*PpNx+6w+U|Ja3xPPduk>v3)xPr50c{zn5B8nlgPN~NcYBF`)uw-O<)O=TM|p5Fr% zBhn_HpCw5ywC?+Q5EAJz^${I^N&)$WN(i3V&b zw)_2s19yZqjQbl^8Z_N?dHU2ITCfY7k+#3g`LKSXeVry}u5TpwwLrYUR&T`jwua9c z6(9E>dArowH2qdf`WTA`6Fc1{LptOUo@5?XX06Q)Y37#<^+GRg?H^Lne z9}#9rA5};x*Jr6>kM5Xyu3FaH{-15{cydr8`NR5F)^p8FY00+Mo=>)CcdhZnhFonBE)B^3TuJQm%tS-;o%f z&5VgRy0Tn;K*G+d`({#AlR!%I;jzrT17TsMzs%!rR`m4fhW0O>XXu;=KAt3 zyyRO=dfxXXBkrFZL3g$?Z;QN*kEYgEbGdC5e{v#Xu+t;jsmR63E_2jZ=dQJ{;>}69 z)|)MzX6`AG#vNq)S;8C^A2+C6rMa?h{_*mQ6_ZulDGl9y8+WGr7o^6AM(^F3U!+Z> zc*EMSx}Qa0!G7@=#I^%7K)e|!N@rLnzayAD~ zQ6A!HIm$=pRJzg zE~pd`#=N93pltGXtl?ZcTX$JooBjLI?n_ThNZi6{@&sR6Ej?(`*l+Xr-fG<0-nE>o zc~5oTYnzyjN{@tmD7p@X9By3Un2LPPWnfFwytku8`-s&O`ga>{A8nfDmF)0`DRUGJvQn%_k7yJtl9Ws{gTuB@CwUW*DlLEX8T6@zsZ4FJI zho}(cc9c!O>FZk3d*e*~IWF9^61v_fk}`Lg1tF$6bN=zGm5xBjp`=r1efZX1n46MT zusB!b^~gS6Vn{$Y=P)9r$Ew1*Apz{7vnTzm3<#ai`S@q2Y4qN8V1VbfnE$fnzU77X zUOj6Ecav8eug>*X41T0*{N-S|A$yQGMIdP*AU1#8x@hz`^&smdv7yJ(aP#AZuj1qF znG|^%QmBV7D1wt)9NcAUrzn??wJ(jCWfSnP)E%ZR$!mdndS)3{YRykmys*Ba45dG@ zx(L|^8!vvD?rIk)hma%_KDMwT$J6W>smJwe5B>gX6|!Zt6O}tuGHR(@%r5_kI$!^_ z^sK(SP+^aeomKfa%jZdZk+}m4dzGAQ6>PtC+up*vzPsumY|`%C(0Nud7G0YW1GxEH$j zfS+<%szK>V3gKKsb9it3@s;l)OGBhE-%UcO&#ZdNet?u$J=5Kd*CHKMekM#mf^>M! z;fRd-mL`crPH|*!$`h#PX;PX@$2-pVA|LcOrqUOxJb0)U#po^3JP;nW(2zu=MKQbK ziWYVdmx|=-3e3;h@d!gpKicoWJ=gc9Hq6RCC)`qrq%C}YgW%28ian6_y=L`qZ3ZV6 zDm_K&E!Q@5Dtf+96jJ2D$#EnCv@xtbwvz4 z{xo7yKQ6DZLVwt{Q0Sg&@25|$`@eYi1dZ*l^$Bb*@g6|;2GVRZO{kR*?Wus%ll6>j zoVT;E1FrD&UPsT!)&Aa- zZBdw(4O8E`4l9@59H=88_xQOX`hD{jx|BB$r@kp}9an9rMjO`Qhr?ac7JE~v``PKB zWxh!Ay(Ere$ko-EiM#c#G1=!_?3AU~(HRxVqfibzc-jxwFoFEIUnvhT_j7+P z87Abc*g&2JnAcC`G)xW;OQO-j<+Vs3D6YJYbw2*60JC2{fr;~)g#QpH-$8_M4NVvJVxfY^JdOPBdoV@r zfXyIEzW>Jt@=YElQPTAyw(e6Xkrwk@U0GXm5~Z8=#XhR04+v{>D@MOMC>AD9L!|spVekli7JeX68OYH(TGA-R1+8vD$7HurK796}l_n#41Xt zLXhlTX{TYINze%3jC4K~1*ma^@H@TH@p*wPV+T83U1XK5^80=;EJ9LTJ zD!dBCePOlGI+c0<@2!T()i=d=?^p6`|1D~aN%Aka#49AyPQO{e%q4$Gzn4@o$i)=3 zRsP2pZv(@5#OQoV&<{%mSTHnrb|_>g*0m)d_^9Y7ZRrai zLDW>K6%H23$Yh)@=^L80ug#Cm1HG@)vIlZzm2uob0zn@~HiD+|cZM;D=UB`Saj4#? z1+-r4*a*A;{WaYuj?vz?&_sH~`SyAkfc+ zfCr-Xt;QL{@czcUen*-k7jZ^hyV#M?a$JdMk?cdh--7e z3*4$MhAd>j0m7YZsDGqDoue6U%lVJg)%sNERBP7l%yQe{TMdJ=_I5a#5uA>Fwd-KO z4yEervON9>8vywpn4#N5J`%G~2p$G&q(jv~ zu)D_qyG#nW(uYankznFXe-!@;T}R|ujV$!1)DIrQjutR|<5IU^( ziC}X@Pk!(izyV+7p_oAqmP(LA?U9KaYinztqz^#IX0fQ`S!c}Lu$wPu`TxlJ?m)J? z?|+>-jJC9BtuC$FGq!p>sx{lH5hF&8nxSgNEKg}EikeZn>=C232#rxCXi0()J4z5M zMg+e%9nbUmeeWL`@AqBrbI(2ZoYy(`zJUcfWA)Fh4JqFqG^hY1KmHuoeha@phzoo2 zD`RySZz0MA=3@h985Ctl2mMc;w~h;J&-bR#O7x%W z?)dbJZ=t=s@jf0en45Ma#=YI1@^$Q?xm=C$e?+`->>oS~i{!dLn z;6-O3Hw85w%=&L|;QkW~oqD|Pd4StqJ^vn0JKW#rc!U z3ui_8ql#YaJ2yGEr!VSjC7Tbh7Yh9Y~3X$t!^!wvo1tM2DXY1%@)_^FBR_p#JU zoF=vw7G-{+m(GG3cViX=BXr$C6`%mUjOu?3*E^jda!%}uNpSA&ut(Co>%SaS zKTMOYoT&Pgh`403K;!&3U_F3wedcukuoC2flSI3E zLX3FpPgff23MpxdL5vo_vYK)DH|-f1>?MLm1nS7MFJZ*jIcEXUv=|0V@D*F}Ac3VX z@)LQ}aAc0)o5{V}8=n-{>`}bY>@}coLGnF+Y0i6Xq`U{^@_C-E3RzPzSA|^$u2_os zsrXh+pPP^Z|J2z+YKBbqSznPGl~A;&@Be2pY-C2Z_JYn^jZr8RzuoDA#~FMOwoE?A zA;J8c0AEhjC%Pt>VGZqvhi_N`mH$lrW4lBi2JxqLe-w8x9wUlC;1?CWb{S_vZtaGZx)SFx;>B zQJ~j=9%%u8%t{Ex{8k0u+V`6?jJ6d)OZ|u2jq9_llNGl9mVr40CRi{c4v9?hWxwBW<3AabX<_S6EFD3FR+FSFtJjtl61JW55PwF1p|P6=tP|_Mb8^}+HcE- zLWYmBg{`ZzJBAL$bd03e1W`ZhPKMQ(O#+kQE-BikWx#E_wYog49%ZfUQu}1_#ez3! z<6GkKUvvOAc$B+E2wDEZ3K(w2d*}dhSXrRA^hHl)({1Oku)@aiMW`~&D$vB_WoLEQ zE+eB8Q+}W$cK$w+>wWT^!I0`QpGy+Z+%iRIJF@EJYS-sTHfzMy>n;lZt`NU3-5Gf+ zCvn;y!C0RBU=%c3JAVj#_Cv9{z`C`OGCO<3cC9| zu3bp26qgiiOg4bNDP}7)Ht;wzd?9$ZzPwT~b|ZMYf3J=G1n3~qX;aZp$o@Ll&ixX1 zi-AGzbMbpRPzceCF=kp`s0vWbrixtipVk=~t7Oz^0PMw7#P@)V#JG{)W>??Z{z*(OLWtJPbME_5g;0FjEq_RYCh<}XROT?>Foarx)?)alY zaW@odak=NpB2jh3o^{!;iWpFT9v4!=a%-x5) z0uA;3!hm&ZQO4Xods-dA>bv*vSAssF^H#PN90T+?m8B$=UstOk5^r}4n;zl7MJoX; zz2zBYlxsV9_tNemCLlt@J$kg-c_HLwyLxZYGuf3Vy@CMnOyVA69QMxAKR%~E^7eP_ z42?c=L9Awe7lz0eCH@RI)Ar!#WmIK-DgM|FSs~R>Bge=~%##d6<*tO)4Ff#TNV{F; z_dvejH5G-Z;xAO?ZpWPfj7HzbU2w$HVXq2k>joW^nnT?W{N8J;kt(3lO8vvE8%J9h zp52U((+nE$oab;I-J~?>QAH>hO^m|6A7tpX>umUZgmTe0={|Q^vG#z)xPrcBEKrN^ z%m~N$%7`4Js`bAQpz_=DYb@i`<5`pZ(cVq#Ip7g~Z&>y*!-gcv`vi&eLnUv|Zr@rD z;52JG1E=gQVZM(KZotPqcLAhnN;v>-ikI@Zn@irqg@2}@-XQ|v-+{dLA%UJvcbE5Z zzSvz75qH6lkwJ9P*`FZzfq8G_PNy^MWKY)wySGeiunKjL$i;IQh67J9wMieomheaW zXE1-bFq|?BXlTK|RA7F4@i&=?U@9X#!gBsVh}gv9o?hF~Pj-m2vE8Mg%t%lzWE#1( zNR!R9PKWay-kXqC=X_4>eK(rXEh#5`zWkb`%}OVm{OC@s3;_va*Prg)=kT>SU}DMm zWp`3y$@MTi$idIvqU)K{)KIsPJVOTr|bZ74ekWNXxyHDO~0~L<~lwVKxjzQB)2yI#l%C}Ab^I^Y;`}{Qjz<5Ptb3LFM!i5>+5r4F?bg3RUOg&Z@Y7D+ zr=Y7MXQWXUpGVX!d*R2^}xi_ z756-16k}u+4}H74Wo+0o$alL|06RU9Eo~|Sczl7K;pW%>EGocO4bYMvY4?v|*Vy*c zztW<8>>OJAnXF-#!V=B(FxjaaMF@H4VCU4hSH*wQ;yZyD^x{b2%U{L3m8#-r|j zgVox5mXME@bqAS#mf!oVA0Co80NA*{uDp899lz5-AH9SRFWA{ki}Xz|>%49ccT!w& zV^ZITcKr?p@Jtua6iNd_JVSKX4_a$e&8eAIOX+ z#?s`!>a@efpdpyf?l`)TLl!_ml(qeCe1!#ep(3n!Hl2ynBSoqIY4=Kv@qTsjIQ0|U zs1l=?%Zp!!WfU2L64bo+v-LMWvzrCoPyco$bREJi=(ZrTk4i1-k{Z0(e^yjAvQO^s z&Fe?#d+X?E!3Ofg{;h+p#C!mUu~@v_d1uos@!xhEWrmRZl;c9IpVC>fTtfXza}K7P z!61OzsLC%~v;RNO$hj>XI|_g-zpA<|$*{kNv5~{`^gg)7VD)|vSKANL7)5iV^7ml8 z|C1VD)HCiw{*pKZpIne3V1Pe04nO$HI`}`LkD;;1ck~b53}|5MSs8mR^P`3S^WwS? zioFuxEtq(^4{q~|EI~H7dCGERtbJ($O51kpa06W5=%gF{3C4kbB!hg7})=0 zq9@f4e+EJVBXUIJcFq0x-4lKsPNyT;e9={0ac>0d)ZszS08|{ zQ5#R_Ls0;&MgDv3&#yl|qd&-DBlbUKf9JD`tog;(egK)wi}u;|_f3WvU%+q6^7OGt zpU~Bm?`C1`GmHs#UtPQEGWxgb6*H_~pt%_q)Pt!rg-!alKqTMMpT!qD_7K+fBLK+q zrz+sbX!1PojIfjnMSNGP6|8;K`#g(Gdj79;49i+q9X zjx{{8v%Niq=1tnjb&@eLpbpLzk*x{W)9#9SylF@^6kB=QY#Y85x;ozZw;cV{uE;^o z;yj`;lJu>!oWmhbQWVxZjt36hYb0KxbiGS$0DE~UOQRp@Ikwj4NrJFz4cOOrzya{W z?>he=8@)Tvh-uraMG9(kQNJ^jW%+`Y{Ke3tBf13@TuwddxQf%A{pK>5!sVtuiM}jp z4keRxQaxG$YUH@Ao_>b{Me?hCO8v@hq*pduDf&74>}ke&nH8R;D-XNazcDFpfD-gi z>A#UIM(Y*`u-z&@-U2>5a+LX@bBCi5V7cujuI{Zg`zfOa91seibTVb5_P>MP5LSm# z{R^2UX@FzHkDSX)-c|1J(e4Sj@$SoJqP~Q7x~rInI0Yx&jetcN2=BlIVKY%&6G~B? zaG9jM#&L?ml=FcoFX?n7*UjYu`>zVR+1306$h?S16Ivc4m$2LF7}NjSP|9OCePPtX z@JUw9Q_NS9^5f}al?5|7eZvojtb?LS#YKLfUUiE5UB?otia(^42Dp0dFlxVa7>TQK zvn~##4k#`v#!s_nVwJqtvob4E-1#s(1NcO4GSTx7$_YpMF^iF4X00@L*MWjj^{J@cp?d{m&;E-SRwdDC&#;?FEp}iYyP5=`H5ZLIgcJk-njF3Gy7e%JO(| za4DE7nQCIQjm4dihb-_&Zza49hC_b1pHzVSE!j;Jt*C*z1`!D5_^n>wHPZO1=}gRQ zr13%%mdEF`qNFNkcQ!5cJ~FkY@|M?qPCw)!6ba?m2BPa~ppYPz7^RbSg!zVHaM|-t z^Cbo4h7+OakfJfy?aJhhmw`Cu7R~ZaSHJPn-WX+n$pQmoO$!`Obafmj>1@$?HrXWe zyuRvdo;1U2=wA9sX+%&bhHjLdnaEz_Iw;T5-6oYfciY=NiDz@D@>48ILiTqz5Prf{!T2P?y-7oY>eDZK{WetVnZveqSI^3LIqx@PJQDV zmvT!*dYgRAb7&7ZwtU=vPQy^xN~#1#^i>Z!jVO4W4tNs;W)AA(K9ZNwe?i!B zgkKBFMYA@lK?lUJuNHr;(Pt=UulsC04(pZ6m=~@y{;Dv@pAdKwtJI&{8=&Q>!0BYa z7N(4TdOhv)AKnfp{VxV$$vB{FXRkt2*lY#@*x4~P_azJh+o5~x04#1IL znH5{wyaq?&bl6uX;kbJxA=J3Z@3p+~D62D;+KxdGeQ^FsvG$s@6!iYMVQ zUI_%!ih3!tsI|U|^2@A|i$husb?~}8-Y1LVzGSXI`vHH)aK)ai!6RZtt-V87(k?Ew zjqsOPNLGcv0(2dTkP7hMs_&1paHkXm4o@Jk^zTmel7$;#(oM%7lpa{?THYVPQFW~9 z6yMjPFPEyre(E%Uk()#c8%H-Yb|@GkUU#k*t?)`q5cms-H&pK5OMMJP{3}qH&3c&p z+rDZgU5JQt6i~D?qBaX2}&nsSLxxn zJ+E+D+j24AE}g`Ynl9dm42^uotTmGef4TNGPEx>VG>2(%Nzg-uS<`+%`g2FN2V{A~ zO-r@vE!<%l;(=H2I543iKA^tfCPkJ;<0^)HpA+addZ{VGZd}o6NPT-RK6%rV%K>_h zqJ2lqwwEp~%Qwr^ctyc0Hs^kD!z82~Ec4No!1AGFHCd2CeGDH4Vsy1 zlE{g~^a8iDO?R}!s%QnUR?>i4`5JDCBQuK2f78KUOz(cU$GKq*9w&MgSPNN#eifd` z_CO=M*c(5#a99n~jFmJ02NKQ9)+cnGO~dTXmA@HB+!3ENtTzFUEU?lC&IoFd8-;awOk|V9MFH3Y25&c zSXOM{U*W-Qe7O%z9D-&T|5%dqnfu$D@Y)Y*>_uE4ZHNk@9uD_Cj(o8-dqqX1o%7HeFH8sLm%RyR6c?bEDiO$YZy~joT zj^nYy(V3yylfO`>Mm${7sd4GzgZNmmUhrY$CUoha`Nf$5Sn+7n*4yXfH5hvu_5HTt z!yoL9v%ZnD^Uo|Cu<4~7x84Y(2(i@dfY|O!WtvEWmGE&op@nHO^>u~Q5uK()i?4sT z9rE3}q;ndotN8eb7Yka?#gZ>&7nEVbVXEUIaLj%tD^GC@Z@#I}UHE)#5S+cn(AFZ+ ztnHH!ErIeet7HmM^q7&1o;33Q)Y)nJ#TGj!U3sob2K>Eb=?dJYfp_f|O<$$s<A&4-?hc!Ei&7KjtG5oHlsta$cFcDy-HH6l)+;ni=9oY7B_`OPE!nB( z6|otTf&32dI1_M8lJ%T>-qG@cYilafs*E3ou^;d<7w+6bvRlqsS-5_+)dKr*a8wx% z^<6vn?LzbqD?u-oc3u0gB>Al8VOZi^1x&)lf4T?nxl>2_umAe@}=_hN7Af84tyEMWl`rd4z<2p6ToFLmNNqT4r=vQ z@)yVA?PooEXIb)X+Qylj5ytHvom)EXldw8;S9iZQ*YvB-U8^!y3ugufc5XbN+*FL` z2&F|T@)0?YuivAm{IsZ1~ViEWHcAmDh2YyR*(wu7)_G5Z-ByKxsSs zHq%BNPPYha2j@1EP#q}LzoL{lJ|hwCNCrx&HDnzrXMBNx zqP<>VMC~lCQn^KmzGBzi+(^^U1_^@F9m+&3NSmum<{Qp1SUh}Y7$3LlaFXRr_^uw4 z71_9{O0A7^*T0@HWQzpP6Y}1$8?Kc24Lo)#`E={K%9-!+3&F)tmbBXSU-q)Hno1HZ zph6vo@3x)FtQ7vhmRSpy)$d7joQ2{YGbszn7zllpPJ%&wKSAxNNibCdf`AgkLoErLPp(6LasWr21u7 zT0SqoVEHllErGAB39B#0v!d|E$}f$TjV#2|Oq5cL?VCT*8=a=3aXw1jBwq)lH1fc= z*&-`&QOsDCh6j2KEeSV#)xFeZ+kf^7+(VhkTq@JHH`>?^;RkGU8Y~W7^)N~$`8*AH zrQL6Fg(K&7xk^Hnd=g45VgjN?RGGrD>eu7fpD1sqx{P1E zD>>)ofzimYv7EwRWUh*{)qI^tp#3fUh_(IDj$8uF#&eyW8`J7=v!m5B*AAqg#F9r;6PFHDSaOTykq<>8H4^3V zVNEjBTX&*3#B-~rMxxGQtlvqF-_DMW^$rKCk&+cg*dsKgH8Ezz^LJoo3-JU|$cX4J zksrmd!a{Vjj}wE3gV$O(J!!|pIUB-n;pTVp_zwg|tn`Xn2Up zv0PiwiZ}aFaEt5Eh3=p(2w~d*=J8avJv|bZd#SyT+wP(`XWC9Dl@dC^=Y9Z z(hKXe4W)jxAtkdsDLx4EqYQRX!dVA(A>jGy%aEcFmpS#E>ND0Nk_C7fS`I=}0U_aI71YrJ6^H%XAQCqFe< z#qLylVH`LdFg|u!M$b%2aYqUnoNeN_^x{N6ZHyl{Cz#xI${qnt?mFhI)rbholFp~r#dCB`n*h2 z0EPHWq4M79i0GPMo@UPJ;Bvb^#)$T%+?S4^o8_No^_N;ZYBF~fq6Z<8dR}>jzOd76 zpPe5+EuRqRWzR4W@XgGjn@Qx2&QOQ-akGt>cTiT|cIgSnn4@sZu&q!oQvIC5;K04R zp4+6h_w&pG7aYpOzF503dJ;iU=yL+(G)UfN=v&wk#$BX`BmBcUjt^FpTVsq#2Yjc5 z^)O8s^-=`MxZ|Tt{E&B7Znyn6?f$u{1AwLX@<(~?S+L0LK4!IZLK|hd#F{42d}rDs1FOf$lMn9vJJs>%hy_9=y_uBS|T zBpRd@=?W3F5ts;Q_oznSfx?`=inIY~No93$q=Nx1pu4BAGpo1W(h^I!*JA^hTFbs- zux2_cX{w35)i3Qlyj>Pp*JWKciE1KV`LXLi-0^)jCQ=%WYKmWb&pb%T7D&si7HrD4 z<(qw(1vgyDApvx4lu2*;C7B!T(qhB!>tH3eK= zc9cQyJNGW=wh}i3D8-K4Oy^8Cdl)}SV=FiivMz!`pSyfDRE`$41sIppd zgio;X74g0RRW&-~RMp-IfPa#EG&Jz2tAc*p%J^~3{j0arHVpcLBf|EcNhMryWrH6< zG7WyTLrC8*r<&z!`a4jqI%I@=2=VovHbehDTHI*%)43;2{~SU>mHhOgsJ1*C;pi^> z)u=lc3Xc{*=(aNRE;<9-G=WC=XMnvq^%*!I26$h&Es;~(_Xve_PoCJ{O9JE>dTP1& zlgO2O@#Y(UjR1an`agSw=ms6oQ#yotM}hn=hD+=)aH+39A7*qwwS%-DG64PNd-iF8 z7f_~z-gvw$`SgDY0UX-5c>D6(eWy}L)uTNRSGBxq(XWvO%Iqh1Pu}R9wRKer%VFQJ ze}VZ!oyd3~0Cm(al?Wio)l&XWKeLDE()Zt^v-i(kdEI4k*@Y=wHk5B#=E~lsR}$-5 zrh7q=qdWBCqYNAy&v=Rn)V(_)BTFZZ1AjFh(%~z2a?MYPx4Y`J66g~A44oaWw3n;? z*&pZ3-rt|;=SHD_x=V_$U%q>YUOf%JP2|~!{R2X3jK7};HpS!t2hMeMoo5iWiuh%~ z0Y&k*iRJ4_W?L~FwBjtXorykcWKdw@o$@+ikm~|l;Ts)g#@%!B_~0;GWdArcLi;rP zX&o;6_-+TyPafdPX9mpp<<(2x$^L4&b=sX2&9$@2LWG2&YZ=|MqHY&Vx=S1yUK9}? zLTlnXF7O>72|4vzPoLH-8}@k(7kok<*H>NS6{s6MZ0mg5jKh5-PZz57n1hRNbY9M8 zh<$Ql1_K?zQv8C^V*VAi_?wf1hv))?{RjVgv{W4Dv_Z0 zng*|$-$ZF>T$KHGa^Z4O)Q_{KI;=JXc5f+<$Ky+{AiZSPrfJ(UxzXw${Ga(#bY)I4 zN>v^8esE75+HjRgs3w^|L0!tuyoV-H>_rPqWeiTnGC#zG&PE0X{dmTXh{4w@{>78j z4=*bWFBQ5J%VDdPOa9A03#8hY#Q{e48Aw_lc`6guJ`KLs(RoJL7`g_TKSIENcS=Ru z)!Z6lUK0>~5vgEf;9vKy2!2xuxxf|5m2klJGs}*vw_A5`gtG18#a-9Mnw_ey`P;YA z+kf@sF#FGC&H6`au{2-`du!IHrO3nRj9|?w_kg7duWvf?Lu0bnj*46>{}3z1lyn`1 z#&DR5O$a57g_l2BlfeW!mlx08$Gsr`WqDdQxj1>Z;l_MXgSAmzRR5sQkvL&PN?&2s z)z?s{*-HC^Z?uBy{0P@k!5>Mi=f?m)HD38vyub2mh_LV_2VJixbmLAE##K{K0t&eb6udS1Nd8r9@ecmh7*p*dt1EzaC zav`w7i)KeWdlTs$?il)_?oh6o#w%ZE&K5JXWvNy_fe*tRp06aq#;HTIgL3yp+TeeC zYTjK%Z)qL(j#K+Op;)a8i#o?glxB^D8O-`6=VwUyV<9Ms0yDY$E2&3PA8840s>p(e z>~yO*~PblXDMEFAtlDaN6!!p3sz2aVFe1RYmLv&@;jr$sAv zw6ZuNl4qEm*Xis9&Zh|WUGaS> zE{#E^813u~((j#Ms7{0;W6v=xkj&O=+y?e+&e927QUWtAJpgkz@3rK09gFR{+e)foKBBrd+7Rp6p{pcC)Gxe(=a6>YmvV zH!P=%l7YiXycM7?J-?bGJyR3T75Ri4>JKHa;1JpDrCY16j;?ZMb!6Ksn?sdJ)$}bE z_^1m~^pad+u@A6}$i4~Gcj?Di%rCI5443ykTl>tJ-D%EnT(rKP2~jJZfCbB(JQ3*} z6oYbYrJK%Ac2+O8 zez}ls_231!FUTZ5D9np?sgkFnmQKiQei61%0G8K4D(5sKw-t0(2%VyD!4I42F^SmD zlH5}J41^r{{6ZGuVGP-N12|Tt_wIy?zjOXZk8oCQ=cO-@T+Cswhh*2p_N&aaXi|hd zr$!?tIE)#Ee;^sfT}UGhA~*szt7?kzkMDLPpP5!gWL4a|!XXa{^J2!!oGOeWz9!u$ z(3a0N;h|?k+Lmeb$}jsX+h~#iL_;ii$J`VJM9Ej#I50DCJkN zSv|f^GgUdHOs4KryT`}0hB)TkZKTjToSU|(at?OYUPRr^NzV*J8+&YDflNw4kV^e} zAB|R^uu}aL+n$!X8h>PIAQ_h6$1Qes;HyP?P+qNTvoM@;h+zwW$^V*u(MQMp_bGU86QyH ziaAA2_F1XSlu;A!+RICN*r90AYoE|0+&A*2WsA1#$P;JqPeqDGrr=&)LYsC0{z|E@ z&FWq&fM2PTZhG`DN{Un_SE~%UcJ=FwC?ca-Lx7V=JgDF0C*62+8B@jHsM9*F>5F|< zVAl+|Bv%H!`M4zCY=HMa-^@SRXl3h?!sf7M+_s2WN$vB(z9oH| zEC<;ssloy(O55w5)i(C~;818tSV}@U^i6+4VFC;drnS9SV`}gB?rd;O(lz|l9(Sa( z^TIlzrTE$hNKr3#E1TMUbqHJhrV6+5w+3Uy#|X0SLg4sBW~bhblpx)&m&-dJ-)BuP z+zs$(>I$4;eO*84c9-vH$wR!i?OK2*hI_;HM&L*ipkbw8?=GA87~IxKdn!H;*SsAJlQ8H`{a^q3maXfm! z-GI!AZg+u9{-TK7=c>(z?z8X8Ivn4zFufd(KXT+yg|rkjJC;p46XK>Ki+aHNjhc}j z%U4_A5PLPj?mOjrY0VcibsPD5UO4me$v!jYx+%qUo!v@DVis1uFH`D`Yfl1xNqWWc zR?z(snXCl;F5h~nYCAzOOX$$Xk9?wpf51OR(_Fj$N?)A4pS65@C>5Sixor)Gjts?^ zAR4YJfm5nqLi0*tRf(CU^7w|V=Vr@(v%Rguiim)OV_ibAKIh>i%r!mlkBArAWV#O+ z`~6Htix~F2^WdD3~90e7Q^@j?l)V9 z7#3>;h(5%Q+1sbv+6o4xbB&-%QKJR)`-}$5e6T~_(u`Uc^a{(FTg{zS-gCdq$NA^W zA1mDKoL!_StaM&t*I2zYqdbPnxUac00TWuCUpV!>=*DE&&^zL?M7{Fh!~yB8D%jfu zo-CchbpC=WMCe}v8Fejm2>w$7&*mzN$U>fvEtQx{s-3^s_BZ*%kQ{i$*WZQ{sg-fR zCtFmxU&!vfy8DAnCPBR#VuWbXQ(noOzo=XzXT1N`pvkFG`k*|nuduLh<5Epy&6h`b zJ9BnGw~Yv|9T21{QB#2xYv$E+;+8g&%a^`PqmVqk*&!<(XA!+)rp5CqQx7=WJWHx| z;f9_z<>jUd7G!b(cxnA$oms)?TS%{I{`hI8R&sQ%%gS z=l^4-_U<_|meoob3r6C=*3BD>WAAy$8SnB@;f)1TXOpam@FT8$Q#i?e1;3 zKJt8ml-@v4n4T|rPIEl9pX12(=9vZXtny6D_!oVV=M@3leTp=i2{|;s@~`B3R}U)# zCsP?HX7Php>OXMx`zeOPV1bMESMn1{<*!R|o`7M&h-vFB#XI{>#T3a2P@A>)!r z5fuXES-OLBKAo16eJ0b=+=)yq1cVyGj|oE-JwCWk8CKe#N5)laIvpk+8d}SB`Lm zs;qM^&l{hK2Ld#bKLeb3)+5g?&~GoRy*`yb+q)%1ELd0UqlNCiw}|Vd$BFKgo;}#6 zznYzXhPQokBP*lEp`t5Ju)ky9P-*OGwlo3aV#F49fn7ZvVq_rXACQc(9Lep#b~dqK zwDY2$0VhJR$rvs<#9=1((q1K18VSze!v$CE5IR3@5SS`BbngBQ&5MW{pjXLHl`|27 z>F*%AEzK|*?CW>aZyMtYfh+27f~7v%zrxIH9yViRbc7kCCBDkcTC0^dJ#17MXXORD zprdSO(0ig`KGATO`LCiJjv074M`CXQ!7G$jU=>}M1B$v1L|gR3l@r>vP4m&Yy`UUcc%ayHZL92d5$F{VIc(<%uu#MSs8&x@eet4A zO&Smnwg&k9gpu?FZG2~C^6nzRmPNl#tbxbxKAGybkcH|-zUq%sg1qPHs6#|%cot0; ztsH+$TsOQ+b3^Fhy1DJ`^VmQUp}M40R{m7$SA}4x#ti&YtbfZp>K$0maY|Q!oX7Cd zP@QoUwVAj|Z8pwXH~kLDz|0^=qsY7-R>((uyNa4W&JHtG$5e_UIXuk|A=BojPUTRj zRvv`s&Mutp=2Bie9=-Xy#XhUuw&bHY^BfH8GZ+jhhwKj>@SmCB4n5D=`U7azz$Zv?6%$(JgGc@=hh7Hp_hPe3zRAaUpAo#;oirBo1|;UUKru7F=e%v6zN3x-bCpQn>Op*QPW98-Dle0HAj*Dg3wY}Wr3?FID!Y99r zPn|?z{wdA-VNYK&PVH9vwj}l~H3eSYEOg0xrNOztN@TYpoF3ya6Sz=R=L=g=hqmJN zUC1Z%$s@y&M(oo0MY}kpuF?eTt56rr53l%@v?`aOdlp`}={rsvq1lX1jA*ZV)zw1E zG_|~K+C@Ej>+7~=?K;wiKZT?+NG>rFwA0%^NWJ&)=(;dHAarSfDQ#(eN7p`{RgvqK zSk=`+g4J3;7;9tjCJNW_?q1quYCWNKuzj3sXMKF9|5Q+$;ogb zw|Febl~bpTpkwsS*(Ok9VaeAPcTZp?Ff(@D)T7A0Haj3=6Gw=;mO1b4-}$N0mXyjY z+k3VdBF|kD<0GCxf^1n`fp$JcO#TI;vv2L2)V_#i4jLGBRC+faG?YFCLK4*ngEOfK|kD4$Wf4tdY|ozQ*m z!k26&)#5WLLUI#Ari1?DTaYFkXh>X&=V5jj^Kz%TPbA0K=DUI1NNt^-kGo)J+%5P1 zqw2`s)OC$!%~=aC;jT0p5!pPk80ug@M?cIqBmL^`e6zEdnf`SF$lded?B-Es!F8XA zzHwqte1{8-38`ly@JGYAl4l3+k!WTs{ruG#1BH$Jb6H*k<;lAW@w$em8HYMAR(~;? ztbEet9<`I7>ay*M44ti+_47}5lVpRteqec=+t1224 zC6HX{{M22Y8ka=J3qE&OA0TEleEQNs2?8Iu8ZUUJJpTUV3TH$2(yb!_=gjuQvgh3C z9GSbxhLoe4#tRIim3wPEM~Z)Fz?%BqO=tw@CSQ%6d_xOrQ)zLPQ+7sKX^s9Wz}+S< zqe*4sqX%TiXd`e|F(+q8*)n3-{1r`higq!9*eg&z=W8|E1=>b!t04m6t#`6q@}qst z;AQ4p8R#L4r%P-d8X(`M5B1mVf_exK34@!$4!lrv0aPEzFO57uKN&3wS#$Qjq&WT} z^E5`u`Au+hDe*ge#IBdq(#O`Wr;9l@xl9BUg2)5;udAV8t--+Z>e<^Uog)IP?8;NEPR!BkS!yIAsJo z8XxB7M>a>qQUCtonBk1S_8A&Qc??V8iPS1UR0(4pcgTd9EIxhik1r6i(rkzE$&ujD z4z<+9Wn=jaxnwWFv0d7W89;f*f2j8rbm6j#LYBWHQJ z^$w?Y51yV|47{K*rgAbx-p!>;PUn?}QbLV2cc+7!Q9v|FVBeL&P^i24ZF;xciA;eo zG!i!Lco>Q$JTmLHtUn9-^ep(_n3J*dz3jC-hNeC=PQ5MaD_g$gLz=|v9XCqwCWs3ZOj+KI&=wcb2j=E?aWPJL zhkh9DEEWVhhSK5XZK=?&MO%XqW>K7jrt^$a-2wg|n+)Z@ajSOL(w8O?9|bDCtrG|yz%%IRo@Wy z^qWW(5c~(OwWh+FPl<;m-c><j<#>h%vs2rYB&2- zQ3+2GAf&m%y!~+)-T$7*c3=-Ik348{?T4Y2C((W!@&=T{*nu_w9w6v(Qc&P%6wU>W zWC(Ya+(`!m;Q;~~-)&Z07_;CPlS!NAwBj;v2^^94y9{DU}J} z+UjWPpdaGd;cqOU)M~wP@3VdC<;wUdBSeEv8BzBBbWext2Gq4J^l)lhRKh?ut_Ex1 z=8Wvqu0R6N{%~PcwKbFRl-ZC}zEF!y&z39-j8%-9UZv}~_CEwknVa%_F7Y4uRG-Rn zZQ<6k1`}Y#Uv_cJPj&SpkK5wDxCgJ&dz_CWUT+-~Y8b@l%FbgV3}0u0Qk*UPQ~v@P z4#qHy3-CBd7Op_jJ?O}6!?~+uX)~YT)LV%zz8=i00xZrh&f!Z=TIZ_7LW(TLh1)G| z4cX6PtTkV3-M6oNqXSA5Q-0J4SD1!$E2Upe^{jt_?gS*@4M`VzenodZfo(G zvz!psu`33*7?1i`ma?u5BN0inS}qb2c|a8XYc+93-S(Us4a*OYayz2ioC*(}OdEmQ zbPk@L)D*_&IA^>J(E4zr&w-50@bl?1sBN$p0A390*Fs%;foUMuGlU8vKg4ZNzVAK_ zO0k;Zb|S@=g$77!+M%1(lsv+bg|aPDFU3`cZp3)TMd+Rtmedyd4au z9S=>mAGkv2kFee|z)P@zsWupUOt1YsgWUh)>AT~p{Qvh)MJl3FA+r*Zm4jnTB^3ve zz1KnZ=9p1rC-XQsRQ4v0bsVzeka-BlKE|;*_W0f2pU3a}pNDhYUiWJ~*Y&)vn8^{) z)J3o=7Hy#^SL=ae&22JYK>l_zfBXjLOb>*SJ8VmKvRBz@%=?}I=ys3XcIy$hHh^&O zdXl-S6S+-Pzroq*IIB$8O=7;VG+Z2HT-U zXH?Jl5%257)U3TBp`Xe#5&G3wa=ML5^XTkQTFGkd1q$Y#+R>eGQmbyaCItKF zKFVd1Poa@~chF!tOJhN4WLK;*JPB3~^v;kOd(#gf>FK@scv|)$(OfdNNqz61QQG#+ ziY*Bp12sc=?!Ser95{7W|I}aNR2A1g*w~z~Y>;PQu71*rsT11)i4_b*9dc`rmrcGY zLNU!@S^orSe*C-X3l1fGR4Wr#_~cwN)}5n$_+*9X{8~+`q(8iNb@c=3#Lkx!Ov9mr zZQaTGho!@7mt3ByOf>#f9TK4qhrhEVu3Gjhsd3x(B!}H+@+fHwL5OsPK$K%yQk< zFL9UW8<{AHv(dKemwIYr1pD}N-?ydjw$z|h9ierBWIkK5B0eqSk681fPjksDt^VsL z^b=M^RWTzaKJ?i*`#d4hK_#w!br8n|IBPCImwv6oNqqU@=vW;f*@%r{D zSol(qSM4oOL))m-4gg5aTJPYOqcIRFZEbie_{|(KA8M$d69bM3?S9Or5fi-RM|oXZ2Lokl2mDG#L97us*V%j-f^>es;n_+^Q3*|q_ zr$NLN!B+);*ss3URVv6N3;;R{JSl0+<&1S6+ zOLge#wSUB1k{Ih4C~OtH_vYAs94YE5&PG_XBmJl}Itrt^7(o-vwaq z&!ZCj`RV{wrT{@!EWfO*hVQomtXb$(5}%a3*eLwBPrduZ{m?AQZ@y5uhM^Hqp2XOH zaD%`R;5go+i{alk0{Tx=n}9w|rzk|ur2blcsymX%y#CC+`eHk!xdi!gLuYsYlLvB* z!y9ADLB78fi`5%!jl`l@J%n`24Ikx{U?=*fNZxU-kA7TV=9E)0Fd2Eb@;c6-JEJOs zsxdL(NsYgr-N7DJv{_pg*;=*!Kvx`W=fj7RyxB@nHLeh-!vh3{c9(zt?>0nT|b#5(>rTX2)1CDN7>%+Zc}s? z+EyQijpC>o=xp&83JFG}t`5qyW~XgE!S#EW)}Tuq{h8S%+a%gUV@bMja2r*s0$R`TNh^GzULTTMGc?r2|3yrt{wU?eIvgJ> zjaBvic!=Qgu5_vn500=QqjAb1*ME50yE48qgqOQp%C_T8LOX@s`=wwJB&)q0)6ew} zuJ(AZV>1o^zT-rvEZw)fwV>bnM*gnrP|;&+6RNT8roa-Br@zq_33k%*j5vltA9?tAPSFdiX@4HLs<}St4;8wHpLT1Uy90BZP7^B ziXT!p(KM6FGldj@q|#HEdFa;_%fiJrbw>$rFcK`G+8MR(boTJSs0@&>Kw$AA0TQkl zHqhFN#@ZfbpsHuv>bK4#H)E9C4%Z;O?bvTsYE6tbTkvE*4jn?bZdznkbu0oyk4kT9RCTUmDD3wF46g~XSw zZ3*K_Om+!M0S~Voeu6T;`#VOXG0Yy+bN@6yH;bd`B~IO8=ynXUPP{4c^!V@C-JXp^ zQTGC3nP{>;C3~IlpkP6wNs=2?9UXVJ1>4W1RRed6nvTofuG1zeK;R6bHLg9C1 zXUz9t6XCu#1Sd5s*VyehGR~7>uLPU@iXK!5Yz=@l!X1rK!LKTheN23R>dTJBZiv|< z5jzLH2dBKR**!I!RqKw&KDIcEQS(3dvs8~S=Y;bMSBc?cDjYa5B`K4q(HY?x!{bgV zbs>8#?d{8~@A+zZcJuY$IjzyX!GYt6+S-b{C8ipa@K{b)8Q!=6S=8}x3ikQ8Zdb+f z>09LDGLe$FLGAa6`R}fm+-lKw7iKsK>TjvGjCE& zbXSu-jN^3kpAeJ^sCfl4`A)h-o82c0rn~j5FH4gg$2k*+vwnW(4GD*zNsxo*5OUTFls!am?)bv)Nt%0tUmar{*gea_V|Pdb8|L@)HO-X(#p1v zLx$u1lC#z@qkuJg-KK?f6IJbYaO%i$75*wD$y3L?>D6t|F2ow9W-Z8~Io&(il;wrA zwjhcl6lM>x<p>%K6JvzA;Z`j>P|0rwIH96#K$a)!~z8pg^CkSxJzA$;?%kQ)U0*s06B* zyR;#F^+yt=>$@}EX$=@f4wY+5`}GTe4#J1;60`mJzkJ_g7H)(~E&0%!BP=jhpu|(? zvA(F|z~oMg!dKHR-3V5uT{aM-SXdad9eBPR4RkAU^{N=G&?;fbeLqYcx^khHnH*O6 zW9Gj8B72u+4ZZ6Q=k$u?f6eY&Csi*cVt5hgyOVk7xCgD&xlAJ9;u2QkHhlcO8#DbeU&*x}xI=K<(G_$#iwi7VaT9XyJio zs#o4Fb!$A_?CYv}+Vf$0QpC_E8q?c6Sr~`)APb~Zakp;9$YPj~OQALPm1Iam(b9rs z@_|nP_O%0pMo{WeS5N#0Z1$GiA$LA&6IF%5cq-RjH^N&ME&N)G6-DXJ6N}-?vY3U@ zo3DI98e{PNUnSpXW~02qf>M2`c#-Admqz04ol4_*Y|&`XLHw@+;#=e2W%)>n!5XOC z?QshSXIDDyp09kH<+H^`kV<6?cy5(>sWtljM1v;wM@h6)aRyy4B*%+8xjX!45!D^4 z-loaQAh=Yy#cQe<*Ay_D#O0CrH>ZKi9sdqup^g(u?TT7WZ(7u1SM^;ME!9PiCJPE%bYbLRn;2`UU*dW=3@Q1st82Nz_bQ#pEhcc!2cBoeLEmad?}`tJNpGi}qh zzdHyZiY2j*A>J-RQT`f(@gX+{pQWBv>_)#N>rpF&#GL7#8Y;T~fw$o&@z=){(rq!L zB;Ul-4^eoV^+eJHNg&zTI30JrBDz#Zmz#3qww?Td&lD?iF21N5&7nYa)*T3*jGu18 zG~TW=zXAgQf(6iG@QRoE~!Yb3=Kdv9Vwe!&Jw$X<2e>=A=$Kx#ErBFmbmgfXI zZDmgwx#|SHgD}9tP!|TfZt+dP6K5P{oMrG%iLfftDCEwB(hc9orwvty9L}uXt~Z67 zZg-6wi|zAvRP}J$Xv{p{4s=BYn^GW$Y!y(fZNuKdJME-6-P3%Kbe3^27D=!<$7l`>m7Y z&`NRWiKB3`*={Xx`C{N+$Lsawi1Gsoje_RoBCzqP%$Om&dc&!hzQT=dp^n;+2+e_1 zb-Xu54`~D6zI%38J1R&r60c%l=K9va!N9uSNH~Jtca8tKYjG0!s$*X++nMcwyL{6d zXEg`4J7g^G3HqZ^5K(=->w{+qP8ykY+r6RkOM9^~h}-C%Avy}C^!PA$?vG(kObH{T zBHWg1M6vy8{cYwRXXo5b^<`>Z%#z0M9t(h82K*bSJ=kZU)%0Jix=UeZg6!hRUpw;= zuFkqPOq$xU!q$2UpU5pnGw`;^YAv(_6yw5v#wN&LbgfWsFMEahp=_;AfYdR%hr0&K ze{!v)ZeDW#co@?Y;AJNiSp#T#*aZh?8O@lGY+s4X5lx%NM96ze2X+i$ z82nInH+;2B#~J546W=?Y@}#y0Xe)Qw1-hwtFj%Dm^Q+5ZxyQ34w;2O{tJLb-h(ZrX zwdT8oP z)mW|D3jt7Cl5*k)EV%5pzv3y!0>*huK3pS)(AhCIGYh`nOHA)9cGTMpv+^ruP30u2 z{_$^#&T`PwtEe2bwO?Y_o!5RTD8F^vU1zvKV`6S$Aru~bPwd~6dRu?~G#vX^dijcr z&LP8#lmij!<$2xr&kgxos^dlcrWbSGZAeij&_dzIAcB!tTPSJBP;VDfd3 zD{i^t%frqcwu5nk8KZjklh*?HSns3{^hRP;y*x_r5TZnfdSzC|0-bOqH_S|5(hwTE zDpYTh#K7lR>H`(<+8Uc(TKI?IgREGjq)3%KLcd#g=&q=W;8B>AUZ@fF>9_3aar2Z% z=NFp*c!_1E(D?RQiCZrm_uxM>z{@{J_+`0=W9eoArdXx#{jhnIfmGMed3Xe}ecXT& zfpK+`pUv}ReJK8`Am^M8l$=-_FAjZLmIT{(d}k);d_!F@z4H5R2zA1-e#yLTRiXGd z$<2O=+v7J^qZJC2c%JiW{ptUJQ5wNo_E^ufIBP2FW@7I2=_mSiZXN9KuKtk~vrb(v zx4|RAouv2BD>XGWv$PDOUk~yLp)fmKimqf`VE3|hk7(hUcn?RMk$sD8g+rEnxhdV( zzLiHa7R`>c4Y|73e|7m!W`~MeDX;G*l%pfd+*1`@#0BGKZ*o!3K!D`Y6lrw%e`ZTp zZd9cBFYZM2y!BIdaGaSXv_{l%dgA>~%aJ0TfQ#Rm=TnS#s2jLRQkN?f#@Vzm<*{ng zwtx8$w&ZNr+|sH1%{a|U2kh#oGx=0|dwApU?ncHh# zrIkmv{<+Oxw#VP|OWoUTx2I-j5CW~cESq~(uxUv%wn?J0?mheY+MMc8G@2c<+mn=( zZ#k^GT8x!p?B00h*RCxu-J}k2eI1h0?V)%$!Jrv5ioQIG>{q&B?4%>9Jrbhr?}2in zOv(w-UHxLEG0Rk(F|D_F@EM$4YsnQd%Kk zX)Kd9OBL)U{)DH`RqiX1p5>nYHGpE2gT{r0q0Wk9Be$DhCMEd1lE-W7ZF})BHE&u^ zR@Rf_jpRnhvON^p9REoT{}$Q~P8csJn_%LiPGQ?^nE6JsO?Gvir!^nBsrgmB2g@+s zKRL0}@UJM^)R<>)TzY%Ht^LxG$Id~&XSbB4t-VL9bE?&jm;UPF11=bw=S{?D(sH*a z0CHl&BR5LHk)AEi>_aP+%d@*MX3`@se`bp@KFMgSG?Rn9Tpw|~o?}=@SAS$?`V$qF z0BeAI!6rn;pp8Sm{$*1+6+mQhH%TgzH|}6#Y?|+AYvpSH9E1J7eaRzyTBA@Yd_eyd zQpfRaN&m96XJI+~X_6NHUN`gm=PsEc9_X)tieU`@PI7 z!W5C~)M((;-tp})sPWBt)|bwW!ziZm+38 zk@Mw+R)7`pOm+QulQzeuqQ{=SD6?`oR&BXFq}LG=GZGPop+jKZLy&*2oeG>qzohTg z45%z@%gB@45jHM~pNixOcsrytU_emrQ~U;Gk8-1+2uH~u^=;7_6BAi28id8ykL>LG zanzI*`40#n6gxqG6~mu9isIa6BL1x}W%7({GEe}yPuBhNc%zCls@1-aa|}+e>G3}B z)Mi9~tU+3gYp!)IRAp1tl*Emv!Kxv~dQsB4GfjcPOfg9fE6Y|XS?%q-@l9@h~sb8)@*!M|ZQETq{MqdR()*n7n-I;|QhB(Sc1dTG6xVjaK z^xlBkbPEkITU9PB2+ou=y#5k*@9`^lI~XH_wkqIqy4oc6AET2Wfz6*fFCB-+(iNUg zKTKBl6;&RMERrx6+=qQ4?Q~lEMBIq4@*C(9W>-K&fWx zvR7F1;ds2T!!kzXfbpBK-*Xtj*B-e{w#}8?6QxEfazG<-9-5HyxZ_0s>u&382zMd^2^N3;G^kq`)qn zWGr{p+gIn4HmATR;8Ai9#EXu0fO0_3zNbP8Hb9a3q~J20%!{YlR*uyuWiBP#OyOv6Nh?vBBJV~1@zg*kZ$-pbtf?U&S0B!XWIC+gw@Roc7np{)LQuis zORsq?RArmF&k0ze=*i$;@d-Fk!6tn9&3 z?;laexVi&+?>bfUoZgOvs^aX4vo?m$!&gIG$-fECqu}HxHP#4gB+65JLP(5OGEY^> zs7#qCH~-tbyimWBq6*;55+I8zptS!?-0L2mY>i&P^5BL|XtO5=4echdsh;sVoXl%2 zaWWg(>@h)Mi12#=s!Z*moTg-a4r1@HZr_Lr>!qvnR91wczP*r*o8aEhfwkhR$D00E z7azxs1L!&_@$)`E-z@N&xzGFHyP}Tc<9jRfYk_Al>^YU(loh}ir%QK@O`;D;&NbbL z*WUE9s@TyeDyZH6>ML%)hwys0*d(Ix`he_jB*XBuUbX~P=YOJ~Q<$^&*2do}fuN+e z@VBmT^TSn)`$Si14{t>>PQ-nN+=3l?ErMxjK0eET_cNlsbQ@RqxOVN$mOixNDTJX2 zT}ui|sSv@gR({6@+yNTJfUs+lykK?0O?}V5gL~00A+Oe?QY@#$)tc){ZJwXZNI@Js zOkKP6P54)%tdhN#3YFM@uTC^8-VGV^58ca4dTO*xeCtRYjm+2i1WQq_u+w_JzMf5| zzzLO4qoPg_#H5ed(zF^CYF{NslFI3BUx38!Yv8NYW1FFxLZrNBT<*rAJ>pnOTO z5q*&X z|2)VnZp_$o#n0=QJPrp50n-czkQPZOFffOte7w736AW zvW}y(LRHhXBBhlfWfL765(TDwxJy%8$+a(B^VoXGqAYrO2k87O$fyyEup`ylYaRXg zS95z?_Aspx=ooRug!_=nMtPU3ZVGC@`&)|J;my~*zZpqhfYsnAmxkJ$>w49VpR!2w zrhU5#S^+x;TsuD!EZUc+Fn``L9$Qm@_V)HCp-MpKDX3w5+|MCR|7$?`BF{~>-k;UU z8?~8bW$I0u;s3#n_%HrbsPgeT4tXNuu-!s&h|rf*Lf3^<)xLu~Cn*x*jVJ-lm|ef*Xh za)X3~v*?m2g~xNK8Yk=|RmamJ^_hw*=R~8--V$e&{fy>ZZx7mQ$Ls~L~m|9;zKy`+uD;{ z^c`iIb+1Ds^9GKphufE-hml%kfXpA3)23z#6?53dB4qz#kE$}=2`i#dv7Ko z{2wC)Jv9zzt@7wyU&DkqyAOZ52FU6;KmU(9@Ax9aWzzznB5_+c)j94FNCZn0#{-q0pxp6kfXSF)BeDwf9*J*8{(07e*57+Mvn6lu#7C(IZRu5p=Fh*-Fu zD3cD+@Ik1}x*(rCK)F;$V(2i58Z>5=Dx*jFvZP)*&Ef7Mi9{`7qERm9-fIVW{Q^jZ z3ki84T%qH3Ust`#-S}H}HMpVoCBxIKdx^ElYY#mxc+*RL)SdYKO-hgO-eLQSM4aaMw({tZzk%!9HWs&JC3jBt z-fw)K8kYWMI4TvHwG-I|ejk^0xvUK3^1b32*0fzgNZ0n@QA1H^9XqG@TKQD;C-;2Ood={|*Buw(LUVC^4O5k4|eQ({v z1p>Bn2@&5cos>^lhGrnV9Z9(htp1C*N~3<0FIm;&l0C!~K+^+h;+#@LIh4TiF)N7! z?AE0iX%I)Vb=p;Kgq2SLC(iIE(9>LTx0uRV3VzjkN!uP*q#{6<;4#*P7Mf64aYnXe5>4!ir) zFoPAlvk3Za<)tRekHO1BWn`V)^fK{cBT4+@VdEk8SV!XO$J|N*v}rJ+z~>4=iImwYV=|E#Ad6~&10mUJ4T^L1n-r@ zWJldh+4)|g8`ZuG87UD9~PMkZA z6EZeG`Hzr!Wwu;7JKjg#!S`eE{|e$8nOoS13tfXiRUD!X?PLHzDkq`dB8z~3G_W)~_45z)=MiNjxIfZBKa&Bc>3<#8lqVQjZH0!~1GxahD&ZTBG# zqsbCOUuN^^^K{Gf3g$ke@Fs+TyEt^efFlqlkFXaz&=lfRDCaWANgC%L8mq1prNFx* zW;*zp`e~1Zn?jMo(0E^ z@oK8eszEbwpHA@G(fF-$&45?(3-dKc;vQziUOJ7SPES!B^r1teGqI`9|K(=t*JESbhm1~P5-SikK3kmKNsWtY(E-B!MP z&r!=grDzFUVX>7eHS4rnt;*+DcsqmvLBCJ9U%xv@7T*NDwEuE%H1oXi zq){<kG}|SPPo#({X#fn-1VToW zD9Af79?V^JD@NZTr8tBq>nlh3lrl=ho?VKi;^~nvO$x5%3hBdm*>Kg}6cog$3*%@- z>4E4Dnu{wMu;R^eFjpGl843e9?5xz+-|nvRg&f7!*B%w+2o_x)COM*qy?Yy&RR68@ zJa(u>Q_-(zBI}lHgGM1ruHfD|mL0mT-QZA*UsM(U-nS%3bYGiV(c0UEuG1J-s9|e3 z=plqdkvT6vHVN35n6qGq`qLXItrn}a-T-8~f_%tGi0e7@5Tx%-9@ZpfoI<`T*Bk|6zc|57q@Kh5R0Q_3cRZcchYT}h-6^+1^#3v; zb(|YLbknWkmD*xcN<3A`L#^7xO@(h$8H=u-K>+vqK=#1bS*r+*9td5!BrBZ>T+5d# zryE!&z*dNC4sQZVCeaJjpwxC(D1dSSuO)O_FsAOZ)8sMcn<&yMaN?9@H^TshlaYlK zE0dHgi?$6(VFSF-S<$8N)`#(w5)_o=h9W90QWQviK_jLFa=h`!Vh`~zb~I1S{Bp=A;lE)C6GV07o53L4j3`W@J4ifeiGqrR9S1;L>!&UG(ppFLGGY1Bb8mhw!p*SWn`7gaN~@bFkEZi z!oBp#)uZLgddxB2HeW?oIkMuPb8U)X8AMw!w9=xdDHKj%T|(ZcRDyK#7k^TgX(!X; zEnsb?PyWPzJ6@KWv&~caT9V2NMUQfYeujy4vNkj@9mkUi(kO96`orai6dVr+H0+lT zs}g;j)8Rx&ZN?9ebLGs!`CgeARF;aw{3z?I&4}qjp=c}0Mg}L`e}0%S@w^-Fnwi#l zVoVxO0l-140c$TjDJ_E%zTDJ;R0GFoNt%7k1Un$dWO$)MKb8DHWfXmG8`tV^F)7Un z&RRj1M~a0*FTpHlq^)NX>)apbTKb?h=-yQQdIh%Qa`0b-7E-ekQS5_!=}%P>5s$VV zH__Tr3PA*H)1=AJoK-;29mR5^Po^^_GjKwZ*&iW!@YM8*Gnc%)6eq(pk*lq~hgXNS z)7Qf-y<`-fDE=h02rXpWrA?0oB1IREq}I^?05_} z_K?rf_^UDqH%l0?$E&Qzb8b7jzI|FI&IW{~(jF7F22!v>S88+*XE9E&W`NOe$0dR~XinM_SIZ$+jsu!Az z`L5fB#lqCm@@AI!!~Zfc=ZtilYc0D2ZW`wlNavmE|1Ae3e^%J%B{B?>*@m!4^d#Mo zL#nsEpq#hOfZXU8>LmoKH7lq@Hx075*@-*4^od=c-XZ_E_$Uc;I?kL$LS#d-4yLmp ze?}bIUA^Wjcz(j|Dt+xRhn2H+P&jDw&H7aCNT7R4RH$`M(S2wZRhfE*4X;E?m*PsoGY zQin4yV(kSN$lACc?SwMFn@;OM8;Yu$_4T*Ghpiu^u9y{5;;i z9L-_7`JA%GGW@mJ&j%+?yOQ(j_HW4xMl(i$%c1-WQ+q9ZjZD|nR`)CA?bFSwWiFZb zp0=GqiCWFpyFT*f`oBXw^NlVUaWgtxX=)qm<|Y8be_l4CM3`S&1q9Hqcz3XaNp~6@ z632V*{vMgI+oi1F=@s8X7I^xCK=k%9BTh~(S<^MQ{?ez~+||C-Bd``EP40GdYdaU= zykep9A{v#iT*E8+Byu)3HI~_U>cu)cD7tj|Kg*>>A7C1m?k=4y3UXpQcbzF=>Hh2Y zNcj?s15J$4jR{KW^5JZrO}V4V zsdM=7{qE&_(jy-z)?_4a&e{PdT5gkE^Mq=`XO=ObDWs<4jbK`t#*z)KW%Y3#wmSQ> zvVot%y7Px)_NOn2vYiTDoKksvQiM?lUTYnP8_%5n3O}8K-p9GfpP;6zjz;}Lli1%a zplr>os_PbuE_FDhWg(i$h#kqe!}^tk2Jd0DpWOk;--Od;_NDj6OyFSM*lm{z6xr&t zTbs98`9C>4p06Xcc6ztEIbJJ%&ip(}GAyX4scQi(noeyTYdejl(z80ac*xK85i^TP=zQudg!YdN(UMrjs_<|mqwwQ%?=p-;GU7fp04fHg_V|Y_MJ&a zKni3-Dug?*z4rz;fkk|N_jm9CFz1ug1M3e!RpmqfoAV>KZ>vO)rt4{-MuT)msz6)i z@dXFT34vRabEkd2T$ua1at`A|!50GLuNSUf@mIV)h_8oVN-oCo3M5Xnli%6%KUI;F zIepOlJ>uwMoo%7@fjipRs*bH2&DQU!$VeJ`XHjh)CYErtTfCLd+F{^n)MjKyU-t#- zXINewt-Tb_Hk*;L)oU%pu3AZEHlQ#V&@-(Jxw5teRv54#M%9L<%h%J=m zq~>Zn6MMobKBu3v)XEfKL`oP!TBeof7O+~`Yp4IP6dsL_p}Kh0>(!UZxum)yDHm@K z3F&8NRFzSl{7WUcy7!8$UDsbBWgad}`C4h+WH<@}7|#H(Y*R>ZT$lJ}=tPRlP@Yvr zg|I>NN#OVP>Jj|lv6Z3HCu4JJO3?5OV9U9AG*n!V93A;r*NXRYO6t7aU{WSom8Rv*| zmsPUO;#4eJwUnJ0R;LZ|bjl36AA-CZ9#tSwXs@>2^cRC^3LwQRxo@vI=@1TKleN_k z>H#W{DDvs`4<>nfOSQj~RC3}cErdNF^#nb(wgH0?*rOGXWiht)$-=La^8V&aIHT@L zw|^hh#+|?{4y*?cg4j3+8N*}%iI^l+xI5S4E)S%W8Y@kf;1T0|-?g=FsNXmc`e*W1 zR#&*kf>S?-O2I-{*U=iuSs=;YIV^qO98)Lp@PtW%k4mgND?sN;1WIWCjYh4dO2T?d zIG8khR2MU5xJJ9*@r{jdr^3wWbX7!b6{5OqU);S*EvXzT3ADM3vGU!K<4M0m-&HPt z<w{6{d_}HUB=Ep5ISxLE8<%- zX;+)j54|}#7}etUz5+_S&3>8Qm-g-Y(6g_F?OK-_lSU;QItv$QV&+PFtoEug?Uw)@ z(dF5k>H*?uRq+qvJZ?h4ctGeI-f%WI`lT&_wPK-NS0@KW_?~UW3^Y}ECZpKoKu)em zS}~e`?vIjQn4-T|NX`~6YkAYIKbfW34FlYIGTbU!qep$+Db#fPO)AfVfxk=E)bjsq zBn|ZVbC!(V@cAsnjR53OqFl0ft7nz{|NIEkpk?;3m?5ZDy=^GY@c;2lM)oLsdI<3S ztB;xfvZmjXP7k|p*s<~AvRrFc>5w7T9C}9YR6@JitOC3p7T1CXT*K*&C402N1hFv7M8@2i+>KC37j>UW$u5_#rRK& zzHWK~@aK!cp;Pjnx7p5-uvO2&<^5Vh?GDn4dNgk8U%g;X7EZ<#p00Wm2kGQ(uk!y$om!kO6C7q*1 zBWIcYBio$=Gnzv)xbv!WT6U7vyYa1cl_IvlhTQ(zkXh-ZW_~2`OL&qsTE6^p2}_FKFet$R~82OMkbakXs;ckN-r5N_#h{ zZRaa%2))vPU{LB)0T4(ndEd)awqWM8#!o?2;{Ax9rO6*)D}a2%yDxb;2l?{k$Ud&- ziJR5E;2RnSNV>J=VI_tc7`KyHkj=yG2NXWFtWr(xxRxfMBWk##j%b*V*G`2qGEoW1 z^oozEvJY(z%u<0I9R7EER~s|zO03t8%1pl4Si)bG(>_U5BLlBtu%rc{N_X>_ZitV* z0Gj%O{B)ranhHNC?vXYgm$Vc{Ewu0`StRW}bnrho{5id?QVVv{_ys9BputdpgeHbB z(NJ+Vo}}$d$La)&1Kn7Q;;QE$AyOy{5xHS5m-|mOt)d z%P;PmRr#Hd4&c*d3(E4k({vcswdPgo3A!BTHyTr_+_sJcE#i-_~NKYP?gGEdLdz)pG5v{>i<#>GklO*;7l2y53&O zw`5{s?*1Ux>b=qMr%qZ>Wc}fbuG+$a3eQ)B z(_cw?^AvlMwGELO?Uok)@_W%QGAu5F2FGkKT!^&!8jCD>6G!@NnAQ^s?9Cs024Crf zY2_D#+Npn7frops0e(T;G;wGCg!iu>=e%!}lGr^r)ER1HJ-_58xq+VpwXYe!BVjVg zuGK9s3_)boj8{#MRJpef_9Wf`pC-K)TfEE^njuSvqDFRtDn_&_wi`GgHrKIkHm^zw z6-l>F^~+O?b87tci{^O`Z=4uPdBsg~bB{5jIl!sS)?ECx1@@;tF)#jB?VYNnJY?Vm z1&*cF>7<;%88Zy9&Q}N4(#MMzY0f^8={8%hfa$n}c`;;JvnfcVJO< zNE`Ah&U&t1IqvS%{I?PvI)||^hz;5Ziyl_B`)WaPhWSV#o7V*T_M2y~jag@M+E{fI zd#0zoT)|V;dHji5k9&;PQSICG#=6Ht3o(;vF*(d6(jZ?m{BYN&MN?T|F;Rp&|31K( z`OCiRefBO{&r?d?O;`Wh$3+)b6Q_g(&6r)6ZU53(so`{ZxlY}BBAu!s6!4QQ$WcuZ ziZ^rLWR{O+4Yj4mN@)hNeFq1`~ZTp;0MjECftvO z!;t%*?u8g_c>sRFh6?oJjKSG=6N1r$e|{j8&BJ}}y7l2N+Zux#W4>Z^a(WG{yAM`E zr{$Z!-=bwJ^`(7y>WJm*)MV`OcU)NW`vSX)4SU;)9}i);KfSy_b^i-YV$LlLeB@OZrq!<1K3I~^y!b!mUZ*Tz{T#0X`Txco zcZ#yP#>+l*4s3dEamvGcmsg_lGD3kh^ol9{xEttvW%t(2PD+lg`f%rPokX9$UFNmu zt<|rQJ=i4T?&QWgA<2g)o-eBfPx+`Kse9Gv^vLktxVqMp(5GJ>^j6hI9@ma*z488i z1H|}eS5o>I=3|P59BRj_Y<;l8B#!A@?|3@~JqDv@wL7M(jYDA+)yg6iN>Hb^-i_HC zc2qg<<&1fx<>gAyz#B1+hFvz9#|;CA_*0%{HYj1|`~RIOgR#(=Q-jiT+wB$TB>r(O zv>Q9dZC=~$J?d}EOl1gI^&3IK1dTC57Dl>#AUH{efKPwe)JBHew zBnU@xTmv<4Wk`bzR!AHa)1wkBp&XHY*fgRBzJvV(OVDBJ`KX(LQL}t!x>7${u|6DS z(2Vl=zGPt0>!eFB^F~xjYfqSISC8AXY0LCz;LsBq;FxG{?DuLg!rz)AXtBq?ddI$d zRAu(YFKAWg5b^dr*fH@34Tx=>sYE)})=;(%dQG}_N&Z25$%1Cb!!NaFZGwR4ZR6l~ z=7CU{f$aFclL-zw7ZObS`)%WYC|D`_RCL_0TwvznIw@zR(sQV^BoWj$f44D$47-ji8S2bfoDzpyZnQr&$fr*|8p7 zA|+6vn3%rpRR7T$S!hV=q$6Q%TbixAgUOTDGez!)t3lt#uBElzUyO%YIw%(CfCBT1 zZicS+ba*Gw`Gcg@W1N$YvUIn+?w`DD)+8W-(>rzDfhp8vm9l7ErM~P!!75GTb2&C( zSfKGoY~d!;0)R~d@eOlmAaoQ+@$;Po*-y{bov+BUou3IKA_4YKboRzeIh(x;j(3L< zbhMuCYj+M+R3cw&zx=3x@(lsNYq)Y-WUQ_ik{X8I<&7K}cG zIf#FHHI`h}Cq$F8U3EeOQnMj2u>X$u?rLkw7~D0|`xdq0HL6+V;= znMn2kG8957TGtZ~sc!2}Y<$+@jd&#Vkm}sE1C1|Y>j0k&NO5$u^Zp6V&})8Q8AYvI zGU;^Xg~GXzXm#6?_QPfU2xyAQ^IxFU($zy`D}LngM-3m^=iMCFKdsyOeD4#sJ;JrC zv&XAiLdKTe{-}mu756#4Fy$?2Na=pZFq+N&ea{FjC4p!F9r`gpl9yHQ>$MEZn$-_A zA5Z*MQ!4}PYwtT^GI}yBUPnml6g`m0^e14>Kp@DWtLHf`#^hz^0-vfhvD|O0v~vKJ z5O#ce>fv`~s2~B@Skx1;wDM5>5^3hN-^7c`ypdj&zF?&Z9k#Ewh!p}GR%^QX?X9c5 zIrFwMUHt9GbrmSv=gnhb;gkGy|VQ@4-cR>;`IJuL9e3@+TqnMSimroln~Di_3IzEVRg% zJ7=jpJ*m@!rV~Z z0vp}{uvJe9e_m}kL>7^+D?@xQFh*(oCrFa26|nu7E&N$1EAWiAuh&3ANu`~JqsI;| zGsOX;<+gS|tmQH1R#hnDM^ro4JNIEv$|oB8sqksFOE*kbov7u;)AAH02D3)<&s^VF zwUteCONv6q>(MLOhc^S7`TttnSr()&c>`AVHlk;>1#P_V9N7Gsw3)f}DvJ7+$u&hq zZ#zcDG9p3Iv>een*pDf?)KdH#WfuS}CPmS!oBQuYz(}{mVkO7wSD<>t05B2|h~<_? z-jE#YUauMjoOHhIH!&zJ#9$4h&e(z|k|L?FPjCac?HX5TD--TDJRSk=v){TRS1-sS zot1y&&ZxSdNV2VJ;TAU3i0+?uhn>d9Q>J~87E`&EZPsj8%i6^$(!{Glf%lZ2*sbH6 zN<@T5^|h8ap-NMl*QloT^(*a3jaATf)gMQ~ZsoKpPM)uTG038xveDY@drhxG_Pm9% zE*f=w{LfUnKD83JD{KdXChya_#U3-1R$AJn|HJqG~0~xx*eM*lL_7@ETj>IYEM;G^k9s`qTt@6@>4Hy!A*ka1% zFWqC8Jc{39i7NAk!2K#_I@47#ecO9*wY?|dh3(6Gi5p>U_njg^>+jW%MDy;9u`23ob#{$!H3kCQAAy;6`Wa;V{ysLrPsI+t z&(0y|AW-(--KPDss=PXW3Xq1AD=Vn>!`L&~cs+6Fc_!?t?bpv?i~7LV2upvb>>&-0 ztw9oja3#7Cy@*$5DyDNZs2=?>ht4?%oQ2)Uszmn9=#)P+gL{M$za?lfNpI1XXny~3b0K8G&f!l*B2(~+X;IJ{t6s{!1cjDgty)m z{yjaiP4$`_L-ez+28$jj2Z)cq$VCQ)Qum`Q!Gsmr#h(M>6dFH)1Y{%lCA2jY*crmK zO|$L3lv4r@sPhGABFkEE`R`v@9XutraR55 z5ybw4OFi}rE~-pZ74+}+WDbiQacy=!-~L6E9aZ^3)&1V&@)f83=GbKmZA{?Yxf?PV zbNQ0a%gLAbfs!`pQ)ftpW84YAqPuS};GrBu?y^rlvUV4qy?#6T)eV6~`awsZhb%9_ z{$m6xJIE3toIBuc^yCe$^y7N;&fH8@1*aTmd+rsDE_=%A7u%Z(DvR+Kw6z*nU`*gf z;1wCCBY|Bm^!xF}*_am@+Vp{+3DV~aSFJGfC^3ds3dES+J`V)?W6zjH-xQ&g)R`9! z`dsxJm6Cxe@VQ;J|H^ui)joAsiDJr>3*!ngsUlUxD^D*t|@EV zpV$53)FreF4y= ze+7BKD4*e^skJkK|JM5Ll3eK7|D)-;1EK!^|A|l;iON>WN=Ejkgk*(eud?^bIx9jV zLiXNeo$SMzWzUSmarSohp1;@m{J!^(ySMk<`}usmp0DTg@m#OhNVdl*)I^n$nBo4A z1G9WBy@7@J7KjFc*LSjmY;RX|m*{xMfw{f>-D5n+iBm4V->s)C6Jsj1`+X53Vbb8f z#`oXvUq@0rA>SS$*it54+qaUqW{r4Wxdpc&iaPES%Uj{T?Q1HsAEL+QxxU$-dvtuf zqKfv6klq^mGaWz9J94evT8%;3Gxdq;R23w~Oqfno4RX&IA>JI1cYu?;TVeoX-iA}--!p73Jw&%NX%p{G z|3GRKOnP_O<yYw z%b7bqzUDj@L`~bE0p(NT2k@ZrR^YcLbKvoPuDk*ZkVXWM^13iQ$lPw-b%BCuR3L>1K?A))ddMzg~ z$bNZJXnLYKlmS9IDE8xc0Ju(jG?O6W!lctl$^DpJ5ZLK!yiv3<^hcVk z8W#&}&(|wzk~LQ!d>;$DevJA(gF(UXABUd!zV zV#JKYz}u1k0camq7bNSoqQusPv3{-G;3fvzYbTC!R|vI}Ps-A)^Z_%UnIN&=*VMmhPcR)VGsGwfH3LX;-6PD!C<-P zo!r0PM)g8!o(@97CTY0$C4Su_FQohlgvHg$XlmBTNr=$Qu=7~7&RijWXl+o#MGUbse`AP zCN3aa@SPbd>e%@;(wlKijYoj;Q3cm6zE5mIpg*hHpyht`YMCP|SrtCy=i3YJtLf|S zNSm)pRRTcXFKB0gW^L|;fX7a*N0`DS7|lj&aUcau@9lY%FcOfcoq*f(EX%9?3D$Ia zuIGn(d>&Cd4=0h|8te|XT3i$NnT9Q1O?SKF8!N~9A{#Q6PgPd`v7WFcyx{5S%Z;}c zY&MT_Bpi`OeS+K`a0rU5pf+EQUG!VyH1ZO+dNOzWyU7%gG&kXA)8{)G9W9^oQWRd! zg(^=d1srOrFs(`JRe`<@@IwF3vmmXibEW?~YISsGVQSLx?)Rt40s!f^ln({=R?8y$ z8!O0iCAh z!P&0+*X8*2`|-{2Pi^A@g(J_&NR&vo=z%?*Zt?*G#AC(~obCiKS<<@{+k%8&g+^JC zTLMbJp(w_l+_P*R@@$XI8nvm!y91(|AQ1nSDx(@BgqNo-lt?ZZhr|3)DHwgH$rnS0 zFr)QX8LSYcCi)?*6L>6&2(aSmH$n3+%{);QA$e|G3M8;>DXmTYWt&Mu<5T6AqB>^V zb$E@}TN#2Myl#^Ld^QFQ6IqKi&jsd@TcXE@y%w`58$;oLvECPCf!Z~%O`6PR>LVUR zR-J0_CL~@bn&nMfh$9%>Eh2u$wpPn5x}Ff`hY-V}fio^4YcKE7mF2-Vsi~{^!;6Ro z|7?lfj)3>yad0_bjWk_{4Aq{0&9voh!=;2kb18$Tc^gB(FZo&1(v9p<&E0;>d7g-u z5cwVg%aOi|CE#XYise3?_4XS)cKrkJxxWLP!(PmmtYFd+fSd;Mm}nt7J%JF$G2-ki z*lH*q7|`HMyRaz4p$?aJ=!&&>I{G}hUKDg2t=nnQ(Q9xigvK$#6Q4DRNn1!Ft*Xow zIE}d@^>4*&NN?`;&+g646yVAeS$_uWAZZ|P>QR7CqFbeNIQnk!(kNEA{azTG>v*?~ zZ@j^SG?q;CU-$bJBe<9q?Gr60xfXm|%dp|F8W=&T<(GZ7C{5xu-B5lkX>pSddZ%~f zs{eZMk#^AQB)&3mN_KClTg=((q#OSwM#OK___srOzJk5C9dE_L`ny7$F`K>EsEFcQ zpHgMHrh(tL6U`y%MJ2f+nzp_CBu#P)UJROfVCwXDIGRvx4}aPx;c{hsoxUgX77Phw z+A|0o)OSo#zl9GWS}sn1Wy~1!n{Cr`4X6~L`s=OSO_g1g8s0I}yY1|v@fIY#l{|E* zZv_O!x!BFK_z_g+64 zJheEHp}zA%(P%c5>)bOQWX?XRzE_R}0ex0!W%7TPz<~9Vq6ulav#PFDE0VY;B@Icpuoj1zxmej6dk;@ zJ;C*ea^{SrXhJP@c)n46_-%e!m~;uI2P}zc;sfeBEDUK+vPk$b`Nk-NyHUX;b?s`k z@H7hst%{D^ktV}(COD2itt+XS>oK;Qg)RWgxV_q@uo}Ix2PMsZZ05~F>23V^gn#7h z#GaCcHF{d0+uNyiYs!Jv-vP}HvaIYzN*-Ka4+SFU+X+-9tUr6-V!{=+VUmj(^&u~E zcRC7QPMU|@L3si8?QB)`JVMZ$JBU^NCRDIi`~YE60S_*J84DMY6%Y9ePz2;vo8FLV z98W_vW>MN!c-Vk9j^g~wZsXt%v7p9?)1DGUi8ZrF_}Bw+&>g?8oZW@yWtRSKqvF)gQZjnAoz|=rt*B$P1lLIA>3W@IEfvABrmnY6ghXH zl9?onG+jg39C7hxFoEoJm>_mi0j{T?p!Mm~u7U4f#JqzbcrZ0JmGz&e zX^@jmHnb(v^g7Sksi&4jLY# zsbU(2WIkRet8D_>Sd5Y#_1x2zg)Pet3^ZlN!WMRV`9koa8x528#lQC^$OQoZ zVO1-3p3^6s(sJrGIm9VGp+!KL+=*`b*DXl3Y=QFzyz&4-d^+dMp)_6qtg-=jVc27Jx87_BH4-PN z^?JX=6vcFJi?S@@$_W!K!u)ZhCn;2X*ey#jAgdd%9EABq;AwI32Sm~U6npIr)4{q% zfWY9WwmE8iqkJzPmyka$d}I+2aQWqvsW$5)v`kAJy+@KJVmB*!7hhr15XGnRmO|lh z&XizsfHqbIhOX|4SzvLooBrl-pz@}1Rnz#)kr1+|rrjr*ifMrs=A0LI^}<@a?>4HI zg;9N1QBMJSYD?!4&;Sy6|A6f5cLg0*;5?vSx?1zBL;0FLz#0H=bMOEj3+r<^yfUep#Q{atg4(`R0Z{E3Gro)*<^k81~cotY%L7C53` zIBBmd0 zMw&V>b4hN~(-G0}A}j8delZw;%^~iSOH9jOQ?>q$xuzestj{JRo%Xsbl+ze24qkSy z%ZESvK5^9H7Zfb}NXu<(Wq?pZ)b!C40pmVjzU>thPKq6)3-S2TV-gQ{v0x7av(r(R z?&1=n;5ZM+ddE<-c;Z)Se#;bQ&V%+|tiHb~C_y`#{m_e*Oi5ovwR}2oFCDuirQk5G zD*8L5GPgN$J9r>|mC3m{)3243YmX^4pj{j`XL63A;foxvvpb}Jg4^u{#zXz9mgezr zCh_-%QW*W1lLt2`wNGUTgz*pGPspX}$fH@u<7Y~6P*Rrzt)!P6VKK?cPa9NP43SOv z&4sd;K~sf+bxySYl`_TF{jDEi6|avCNL*X9O`NC#zvYRz$ir?x-Y|~+vvJzZGPiwg>4MSQruWS3kbJdh*6ni4iamJ#O7IEEulC53?HgL{WI+-FVHZzvd+6dh@Z8 zC#rZc=)OG(=Cp(9ar*i(j}ei5B$t&<~?)a zX=!PB#nkqTQS{T)3Be1A*<+8J`r&*j>fl)hvoGzBA4J@bHE*HAsZnd3w*4#*qz7zR z_E(zh3k`M^Ab;8iz*Om1(-?|85WHTHSH9R4Con@prbI2bPmCxQ9@v1E$<<#z3S!=8 zE~4!FJEljHaO)j>&;n1+IW^fJ=UF1NII2p>vFY7Z+SC&kCQCam=A@-F&Q%=zY^};+ z2a86zjYRXei?>CP-Beb$`Tf{jtb7DicAZz1zwv^HHA08#uD?rrQE=EE&OEyTNnzFb zU#0{Y$Fjjys=vNLjMa;_#*p+I_D?}pkh&g!Z2ov4k>V-_cRNr^JnmJ&{p)KVhOCx< z?+>-zpeHA%3KyZHJS>%7e5uu!le;SD_k5A>d`PNgF3Gb@PG+q@nH}}PJpd8fk=CHY zvCPRyPx+l!)w!rLj~Z9R61t)mJ+2=Nw_=EIcls^T1^lPYp{IkjXCOLlq!R5&_(WYO zvVGum+~G?-g*!*ymBYbGagc*_D?I0=_+;k^iT^?_22G6 zg%Rgh5sDhY2lfTXfrwo7(U6+Y3A?>#523%0!|#q;eY<7jLo za*NwI&Zu6z*4C-GXC855hZuFX4t2(GMG+ooJ?W+&zwiHpD?im6%g956|1(a_` z`G&VICFH0R>`u(t&;7plAR*o>F+oPKLj%l;4zU@yk-K79rYVtPmBthKSgoOxNq7J~ z&x6{@#d8|UHq8}7LDdZ^X9M*kq0w~W&N3{2mWNNM4)^1uXm^(geq?j{M zJ7+wd0+IT4+`D=XR7CvA+0<6m&(dlPQ)>(qvo9P2aYDBTLUYEriv0w&o}l*aQGc?` zKDO+wsjKrE+BfooDzPo2rNnPa<4HSi@2os zr5%x~n+u$jCU|=8J5G=}t-tfzO+A}#M?zXcNaTs&P?X9hn- zt`_b*uE#%QFroGDhW(eIUVf==T?1A_T(f>+`C!`ksIRWg8?6|ZS&l)m6-wb6PL$H# zP^W_x@4W&3`j#Dg9;aEBc)jsoBYiMSNo! z|1Spgy|x3}wJuEJ%L+R?;oF>|_sr@j@zKAIkDet6=#OrodMUq|_ty=8E|o@_^~o7b z-s3NqNYOHD>ytOWJ}n=^bQX%Dt{X9`p2H+T$p(lARIDnV!qjUZQj%yCo}VBM;6ssd zARwQf6b$q$Y}LT(K@*XCfSkZ?oKM(N(S0us_ZG*WSs!|wdn{mvOT<$(eZd9n$Eo7P zYv@7wN$AbdR<}`ERie33Stj1&hdNn^NTO!0hVZK2+3$EDjUuLIv!G@ABl&{_D5_}cZX4{nFAcaGzoo7lYC0MTVBLLq>;X%uO{sdk z%^IoF|3Z;D{){==9I$|%vlczH4&^yEEfr2y5k8Sf6dX$o-*_#zE4xy7X?1NdAoy^4 zffftjAX^$Jme$LcmuuO$e%kJ#L=ZEV;z>G*a}Un}B~JRAWxtivvB@X*26xN5kd&Zvg>c_8w}mVh&5RvPKdGAxzaJI~4drBrO z06ETnrtX4kaNFBwQ&G@z8Y)XJn|pD7t}hWhWpgPjXS(=6>7tzO^8@&g68tYtcY7)d zU;H>;PTJpfo!yc?vNrRM-d(&TUYb@ z)cO$1gLf2U;sxxAoe5A*@W6{;bEg{uArJz!*e^-M(-V?~#P;RL=gIr(gsEg|p7#CA z2mx%Ra@e?fe>1N+-+4(m^fPcY8+K%^&RG}Xr4&Z*J&o&$R)!nBAx@7*#HSu7u3Ct{ za~F_|e?6(-=N~t_SPKjr#(dDlI~h0Xd!r0% z<|wAG!9*gYb&ECp%thTIZxhc?B-eoIOg{p4j|bex%WoT6tCI+A&Z$Rf3|b#v1u_m# zxK0ey=m2LfcV%t5`C5>#q}HYoFGqYEBz*3lQ!6p}7)+Jx%~2IKFsJc>oe;qkDa_N@ zsYY8JGf$OtmX~ls54k!~=7aArRe#Vc&drb9I?>cCQ`6sB?#5F^?6LN(-6$}bJ^9P8 zm@sUryW_8r_^vXcu z!uvHOnr~7+r8SK7t<^zO@KexfK=;SLs1J-eW)|Mk9ctFOT$J=WciY@W!ZS_1`OXd4 zc*R{_uDtx+l1n^NDL%{`0g)^4CXR>+!JbiUe!}&qSirbcsY5hCvhJVL56Uac;(kiKEjgX`PiUdiFwlV zu;$#yO{oKJ9f9O>t0~n{SKeVi{g}Pf?1A$|(XDu+oRwAr`XT2sGTeFU1q_y<^HZDYt-|McI zt#xqLwZf%6%+i*9d;-8Jr>u%5JWZJKg<#qCw%YEt9+x64L{xG~`e;iV1FF1Ek>c76 zDh=uXHiz;p#7n>;+1DlCOl2lawS_rA~2s=lZViTpO!t?hY9O)tvy?SbF(30=cq*t3=0GY~YT zQ2R8d2HK*y7`cD;xUf4C>u&bSScZ)5*&6yQ)Nzy@jKF#EARnAc@%^m%#Fp&R#>4Pg zzTgvm$({1?WmI^9MPDxe>iXWXY{~J)-eS6ybf^7c^u73{6uX1jZySiWX(~(PdkaCE zQq1b{Iq1RrbuN=w?=kZXRhbOB@LnIZ_w@)UCBY|D-&(c&92@};T zC{&s;Bm)1(^&i?vYK_)RsDYD8QI%vD;7>O zA=~aI4x^iSx(37%)rb+#f<3A~Lr84&CFSv^y;)*wN7}fnOwGdUm!TlQ4PGF?9lX$h z$j0$Aj%lz5G4S_X%Y6b8sxGmH5`w~;weH}aWn*YSMd{@T9V+5}w@#V(ZWK-1y*Z7{ z0X4~_#;Fc1Ob6r~iZiwQ?EKKbf#tHNuXbsVc;x5q!SZ^tdg-q!{k3DP?(k_4Y(kDj zx2eXXY$4~ESNI+9Ov_9rJLig&XUS$|+WX zuZ4x}ouJL@di9mVCB&vkDVAgQvnJ>Zo&>H23CCx+-3!Zv4k<5-j*7d0IQc=nZB6ad zdX|&3CjNQw27>7ZFV5)YAA&#lAYpweA0gFJE%;6n=zg@+b(D;C8BiTzxgH7}R@?&e z(eE)JY*`y!?!p`%zwFFg;!C1d z7Iis#yw(~-<**CTm|vB=KsPV(yjR1*L0;lhe)(_a@i`wDmY-ksBtw{}(ZRum^` zTH0J#eo3{Ml>qtJ+4j}Cwtt~zyx_J(_ENgf9Z{gi(lgGo9zgoPmw}icDEwPj+4J2) zGlREpE{o?}-!uW-j>$@Z4*c*m!KSSuhw+qr`~+c879|lu^zMVEE>bB2)0LdU8-s?z z&&_6=1yKt32JEl5unp4;{+h6^THmWxZrkq?uPS;{wRHzw#e6-!3(AS)>MuEPNBM-< z`AcgKWQgdu{f*L%W3Ow9U-0VILyU-M8MP#e@jA_*!N)zp`T? z9ep}+Xx_R$g?<`2nyn_4c7A8)C!%SF_BFALQvBA`GB|TvFqtXQY_kjF&tqwqq=|ZJ zySp{^<2%A|H+muZ+dK1GwFHVv8gpW@)QNH9#16X1OP<{xS2+_iMYAyLvopHjbdSUY z6U>5K;`V#Ms1a>KYbgmiB+)?t%cmdtxCHfmQkkv&PYU3pd(w%y-pIQHl~sOyTLe5tul!9u=?5os%E8dYGD5@5w zxAge|ap=V{YlAW+O(V+Z5*A%Zu0yjaADEW_(yH(zZzGY($8#qyubAgi()kl_M2$p> z{~V{K?UQ1r$0vd|lV=wd-83;jmrp--I<)TRsk~v%;%n)f;Y(8ruuhRUlSq8fZE&=w zy0`g`?|J$2<_TGrQU_gAfw%D&u7iOga!JqNk1CS{;kMCJHojja);T!glgsm+j)X(8 zfW_Nibviv|s{gKwpEW)_0q5)i>-4#V3sJ8wz7ZFZdbe1S4zm1m^gUJqklW?LQ}jBK znvD8b1xb{7O#IHx=05rvO%Ljz9mL(Kqhn)jD_Ibil%}F^(ePB=7Q4}?y@m_ET7-sf zmaC6)Ofn+nBj2wm?VSP#3rD4)r&T4xv`_G_5&8RH$B>wT@|p-Sk)*sgB}?ZoItcs@V~=t{-}2(JgP!T5W^+5AYBCXjV>h z;LMYR#-G(6?8Rq&z>uVvejKTaJWUZH6;Il4=XJk`*<3gU+bbx|&yl7&Z?5Ov7twr< zcv=;V&&HOV8h3hbeJXrrCfb9%A#oYoxP_z{*@f#2|J$74+SIeQ+b;R8!6G}q`Xjon zB;@CI*jG~raS>N~S1Ula-@7Od(;jpD4A$lXp{p(6r<31B$b!sxp|`8ZCdA0W;KwyT zv}c;Fbs{r_Z@klsR#7=wY)|8) zvuwWx|C(ra!=w-1DynPbG@NQ?)8AEpA?$%~&PQqJWbp|T*U|KO1YOrRH772%8hvBY zcQTjCJB{I+QIB8rE8Qo~l%18i7{1mrT+rqMxo3Dvb4#>e){#7*wZ3X)9 zS3^q_<=1qLf55d@9)xT?9-qDM-{d z&8x6*Le1(D14D%3_|0j7d4*8+ATSn1?)P3_tBXZ-f(wv0#WT)Pz6U=2#srW@)-+=` zAv+w2m}Pv01Zg8$=ad)0suTYN}b zK3sCmLpSBJa({u-+Gfo>IWFz@y)4UmjbVG(dpE(~?}m(VCxq}^W=(+WefxOasy>Im z=tf_x>=i8#Ju^4fYi^E!tn`>Ob;kwUt&gvJTmezf_rO6qJGoO`nhhC2&)pIG1S)EG zK6{t9rz$8b4_V&-oW!tO{*h5LM*7Xmnd@9{(ooL3;qW#&S53-Lu_#>7J2!%jt!JyaphXJ-70r)TuttV>maG+yVL>|EozN%B<&YMQv- zH39uEcVrtY7+}FQJFVqiNGN!+`bQitfD6+wbcC>H7^u!SGFbB-ekZ7fl$}l59JOK- z9D4F(Z*z0=(P38-DWAc{n;!00T7At#g1@%InfKeNcaopKRtO0x74fgVc^prGjEBE> zn9Yam39JmKl;LjOxpLM0LIaByo9hRysmFO;=l@02{@gO_#U=&7(vRk>n9LyDL*h10 zCl}%vF+#bdIH#Z%*l}V!X(ZTdrzc|ihD`jqb$NF7w%*;#1?@aM`Qb^&$~%)*B17#| z-5$|N*Nx7R2OnVWiY|-S=oof%#0@UyE4CufjPwqA)q{JnppQQ4 z+p;ae7fv!radrf@V-m~<-H00y67V)XrhZ1_=@w( z&k?k2ZW`AY+AMkWj8HZ#>goxFHwFI^>aG_*#Cd|-JMv@6xNk8bEJbS}E2c3-+zGm3 zY6AUa9V`x!zvEXOq||1b%W1QZY?)c-RF2B!d^lnK`QBRe-g4}(spt9FA@L)tW+$+p z`~F{ibo?L(tHM=!R_k#6nuM`k=5}6izA}reC9d+ZhA#itD@_&Rh6P($gEhUGhNJJ= zFTOM6`+5f7Iy*o2w(@rWO_o2ErqfsXJ zCNDNS+U#q{ypd^H+2B*LKE|rh!6s=Ab9gPl53A4=ll^(fdiV(9cs(h+>+vlV1=AZQ zXDSxMUdM$Iy@J=UT)MV0VKcDWcknF*iKB>vGT%0$=F_~d#I2WY)Ap3>WJ(>Y>`Sz= zhKCxO+>47+w9Dh3fUl&k?qPJ4WO(r40mTL%y*LoLaYZ{Alz<4=X3^>2q?`gM(p3K> zF?eeVqtc~k{IuC2PKLCZDJ@jgWkrJrdZZ+=ZM*XNB1!L$tEob4y!`QU+>8p8>qfBj zHLnZAQt3wN7P7CQR#eee7eA`(b3(`+E;h0L&vFiF8O9Y`@$7h%Z!V6g50_M&+PCeY8=L7?s4tU?ACP zywha?NBuRev~_C5Om)8woWuLfz;o%N|7Pd3`8pjUEJF6V-vDcZtuVahXoq0Mg;YPe zp66KTdiLJvY2_}oTLapiIV^;yP-zvwkl+pG_o6$z+I{)k*&f;bBQz~Uqr`#5g9OLyg`|=5vtKK#_bT5$Ff>)p5}=D?W3!o~ z?d3J_>g~l};v=vj%@eeYa3sVR=En||>E1^O_m>jr$O=%~pp6zFe(qk}Lx@yrtu=%@ z@|~@%E!N0H@>^C|o;1bKI+pMBmJXe&q#=WJ%%e98`I1ze2G#p&FD+2^={yW zk*$7f`$_8w2bIlOs%B$JZrghK#W^!#iMmR_KHZxD10p3&Jr1r!9D;Cr_I}l49!+VU zOM~|y=-O#f3a^Chs{OMtttlNU$)&TU9kD>f@{7AAqI*l@I#zBF)fGI|xHPqfUbg2O6Om{-$#^Uoh~wL(E-J`)jr)=9KbQ@J zo!j2*E_%>S-p;=7@olGE>&#r8TT7VVqHp1VB+$Ozq8FX~rPgWd1y(_03+68~FOi39 z|Ct3C&NNQFgy7s&+ebCO;;6c=!vfBiTfX{|TuIjU>Hc|kDt^z)Jw+^vx@p4O)DvF( zNWiQFNslNcj&%|DjW4}kbcrK&Gd=QOD9$lG7A&i7PA-f#4PP5%a_+J6Fni0qbtg6J zqVvF5#ElL~5=+BBwR5lt9Yq#V2#_AqTESvi+(ob`kQ-*=CMUmEZ73N+PkC>nv*}ia z_w-eZtI)j4Uc;3seee&KQzyo$&Jc=K0Bu?X0@b3AE(vK$RB1=|yNc%VX5x$!2f`rE zR7L1|t%W&RNlD2fG>2lYvxq&4ikGafkK;Y(fJSHOoJ3K}wbWM_J^Z?X@s3jCQ~e=Z zu1CmB_qST{q)M=PNF!mm0c2t)_H$Pd4gbWXVH#$}czq4EZ{dZ=UR$hKHw4eGGa;|d zeilP3TyGc)aVKTDQpl_n=)qsUTAcJ>(~bWDwzi1&`zq#j#}fSBL3ynzK~#n)(*xJG zF^)Y7v?K?Uk0w1!G!k{}5F~mLfw!*em_o8PCKl^0-4XM;crpIio{3h_B7~=5qvDt5 zS*%w1TBg0Wous6%zTT6}W-3hoj{aGl__eoILV7*w*7148_sNC5lMP(2|Gc#z-%2YQ z>$AQ_-&wT^8c;{ONat3uF^;tThoDu9%hnkScB4OFQ8}b@A&ZZ;LX_gu(iZq+qw0BXUMhKCby=?iEHUI=uyV^t~72S)?x=&?5A?3ptTp`+lpBkA)eX33nKNH zx)HD4poiM_4a%b=ulmJk@f&ZTKB?`HrycR1NSp~q8<|R>F`kn?G1r(zZUv!lIniBH zuXUUj0o^p|PQVmQi`O66{}7CZ5)J=~?0q5c=jOD26$BUFKeWEEPQ@-fF~tHoUF!P$ zRZAK$3j{Pvxkc#;r0HDOs{c973hmW<(u#oqaBlEk(!|UY} z8Lned30ZRI101}n&rNB+_UKWkj%BH;@pOHiJ$gCCm1$T7_B>EvzI#zyydsc>`gYrn zDvON!7g}?3^(?Pc*YNK~y$sTku(twqWdlTK$Z!_w$#ckTFgRfRg4A;eTm)mR=bh&X z?3NY)eUN@V3gJw7|I~6UAN5v8M1C8D?(wLIW%`QFeg5H^Kd34e7DYEJnk9I>=^+1@ zCyH`xzoYme^DVb+y}y3)Y-Y}uQ2#HpM};4UPR<3Mcxo}&wP|(wrpZ6nc|-C2(As~- z1XbY&-=q1KE?-JgJTOXUKSx>j_d2LNTz?OqNx!+=vw$$~7MaW*!EMProNfXafzDd) zLzB+cRbx%nVZQw%LEp!{yg;c!RQS8TjTav$n?CA(A$Uzs>TkspTAZB0&_7D8h9TG1 z7Y7ZIv#~ti4VT0I?);$_)BkSfmE`@ID6Z{rs+Tgif^bHC($1>p^O_;G3y$u@3(ZGQ`gUw#R-S5SZk+{XZC5Nr>bSD8p4U=`QJ z`XSXwfeBAowZsYXonxmf2jq<&UXAGZ7M?v`?Q&;zT~pqkQFm)oNY23S2Ww4EpJlS(vE7Pz3!T-bLxDhvarzG3!+yW1meo>0$#n+aCAw!m*eA6C!XM%AP z+2WPE|mMwte*mrzPAp_9QyhtMXdA2j&zOQ=T8m2L8O0Z9zc-Cq)KSA<3h!Mf_&$GwBl`FbP;Dgei(N3`;oB3Lj zU~&(GPA}#bg+xP^TB#0=Jv3jjbG6jwdsiqPX6d)Mv4i;PFgY${!skXgcj4YaP|-qe5XF+icVrm8{RQ&*cjOf42mXp%5emp0p!*<>pCCs)08Y7 zuzyDZd>d%1F$Sge&%(MA@H z3<}w=FzEC3z{m6~P4wl8Q!A08-e)buBJf=1DOvwD#00|ensQ#HEJvTYsK-h8;>}Ba z3Aq)R?=5v@<~u&GnCZQ#a^dH+m?i`V9PGA%8^o|9Z|mFnxOB2I_?=kdQ`+8#I<*$$ z-YM+I#`dDYSnOb5S9mfhm%FKp+By{6n@GRGgz$Rx0VC+lP-ZrIM5F169;VF%Sk&2 zGL$~AuTi?lri*hCqL~T zHLybtlOmr9x3(-zd6O~KR?TJF*3vOQ)H$5joAH#vee6{V%`17y)Fs73iaIl4t{y-> z;nXg#XI@MEbmtKRHE8C9b@mu45P>wt5H6A3FU{JKG^-bYGojVx@3=Zsd($)G?!4yr zu~zlajNf#V1D_(%nI#KuC=128xA)LMCtJ%SAoFkQBduM(fuECd> zIC1ak51#WrV^FEtNOlEDkOZx@+9@VwW{QLEO;9T}5QnB|SJ=LEe_<%tg`ACKV9u~L zJL!?Qs5@pe_oyo=sq_AdG%dgNF({^?2f06w;yr$ifz5u!>7!YzWPD+7jA+MokHJkXj72{BOG_y_Te>zOQ3(AVlpz zYkRKkt$t|G286r&WuOa3t&}CVTrGRx^vpyZjZ>dG#ZMhc`Wv z>nON~a&KhLxDF835_D2nHR#-T|3%ds=xBj;$)Ige+(BEF4?jj{6cuUCZ+VW(n^iUdY(hPj6*K+8a!oxfEjo_~cVN=wn{mq?+ybqdE z$=NesK>Qr_#*mJ)ud~#SHQK_EIdKE&b9_vBF(nr^6&ld&jt@c{V2ypQ7f9w64CK8W zA&mZ4Y@Q)ZYM*-*r3AGRn`@WY(anlxlA{)lC=OO>gNw zimu1T;;gHW>=|wT@K0sOh@(Zi89MC1Rl>k;+a@huu!>Y0gQ7zdYm4gNId2y z*6QNBT6EP^7M|o`O62YgB$l+x?DEEEN$-n|#C8KU!#Ff*AQ0{Tn{Q>I6DhWYTr1Y# z92;i|AE7#Y04b?n7jb}-XzRiIiwAKP^NszU@UwtniMTJ2W}W!&_|r_rzw8JDh>{Ri zJ%fTWFq=>HKc1`sD$}c?(j}M7fWn%_F+iQv@>HW}_&kici1g{a4UbHZ{iE2{bB;f1 zAK$3lu9keRw+Vv>{;Ck^q9w+SOD-HHLsqKkl-2mK!c-6Q4!}*PM_aG+a%fq%KmYWTHYh; zd*%+rKNV7-YZc)9p$@00`VOT!C~B?L$41MyKsnO21yj=5kJ9@DfpF8y{AD3d{w4#XTq%hx@zAJJc4;tK59a`Tpy{mj%rt@99 zN8P)Hy80+>>!_2nJqagdB8xB)2p3em!XG1LPj=|`!>rHTsiN`dk&XZ4z~?`o`-M65 zf|>XB2m;knsrw2}Pi$;rvszCtC-M6=L*k{1RCF@c#0 zkv_Mn{jV7=w34*K=7Va=s|jZT@UH-ii{iZGmRV5RiYam^y3z=p?%I2; zntWd~F~Q6?B*2?*WLiuzF)-HXP5)f@Y58$_h#?>kszYl;L`5oVkO8d_n#FF2WjcC4#FuXps{<((O zjE;mUNUWRE13ScRm5?_r~ zmY$?lau)9?iZDmy-9s?Vu71-!Dpp8LB%>G)=XPo5=)ycpRy*3v0L5Z=-$?7;n5I7G z{QA0B8A|$3yIr1Tvz6UEJ*E=uc4fIE_9!_8j9qKq{+~A#uiU|TWk`)He9AI(Sda%i zk7;b6uTZBV@-T55wTZMB16_U)?$WsO@k-2l!5>RIQT{h+)wHAC#BZIQos}zHwmOfv zv`~6YzAJjiqSvpNwCu_sn7`B5V5*YR?#z>>w2E^d9JG-q-r{2J;GRd{_N(R6cwLF| zrRj%!^}s1HCGfcT=7Gpdmr|VmfZZ!vCK$yjn&htP0?&pYRsTZ^9&ci6{~$(cxRpnM z4#%-vUL*Lm#frCV=gN2rosZt??XOYFs7AcA`uwr3tBdRL6RsTPxa8)A)OzPsvW0>{?CNIfUX)Pex4w-3!$Q)K#H0DZiMin_(r==pyZi%)bUdr2k zPkUh4`hP@ybzD?m(EcJyhltXp2#BO~gHj?b0@5O#OV?5cAgy#Gq9C>O(ybs3lFPyZ z(v8H@@H^}Gec#{yvv==>&z)0qX68Ke3=#3~v=1=R43{&N=v;<1{#wN0dK7M_TC#ac zqf}=Xj;-Nq@G0%B`NC2k%=a_p~pwa>#y%IaOwnurJOn8J*#+8(T3Xo z)Sy8nto)I3T3bh7FSSpfEaAD>LfV@GQC6*ApU6s|`|6&=vCn%5QGK8P+^m}KO7Nwe zX$%Ek+W2^~79GR;(T)ykv?NHjOw^k4Fnbp}u#kr!A&0xk^K=tj&ncOid5^jQF`YTI zdecpYxOH2nDx`CYL>oN<^o8Aoq>N(&w3)NFlS;gub4n%58ttw0+3w7L2XV~$svR%)y{MN?*P{rlcUN2ZAqwaEOF=E4~7Zg zt-Bf=X`O~65FyvLg?|cQ_tl}a9l$X<)MsUa&3|r*P9z$pP!GhdOaxO6r+dTRk(D_}gCbLtfL!QmZR>}m1sM;1!|*~=qje4XKS!S4v&J@nZG z5UeR5<7RDHsn`H;n(XqzoPSm0;{KE?~Ci+ui0~4j2(*Wjw^^RqhL{)zy2V9z`yY^+~keorBCB4hPU!3 z=Fh!=>(F{Pr2j##$hD!58d5-DKy8uzAH&`twG6Y)EuP+g3#e3BF}}>3y{UOJN%YB^ z5v7fybHj8tcbM~?_PHI0r>8&n`Z4bJGo-J~jkHUR0xuc}WW(CWqOLi!%NDyYT}4w- zEZaa)&ieV54vtsOHJUUZWQp>!Gq_IO`gMh%0;uj^m#}o96Vd5+!!i*fp4RDnfHF^# zrAd>)rdjO1Hn%vhupA>F%$))g{evUa zmpX!dT=!b5{t^dqCKhK2ae2}aQ+;K~hIO2U9zA8ihMQ|6^B(ah&jzu!$ac^n&$pw_ zXX!>Nz2WV)3#ff<8nVDl_C6H4MSD5-PPpDf+PXkV1EX%Kgq3v;;mgN4*+F5Z$D7dX z-Ch@Fww9}UrPQXIJdb)ztESIqEhV}?et^-Ud5<>UVxB);UU~nQtI7Yv{OM}zyHXj8 z`nk7{=N-T6+@D^ZT{Wf({Gd@fkK{Q|PxUeRWce*wZ7aSh3)#>f-VAL%WUN%M)WZ@4%|UU%2LJVO!|9aZ-k2O${O z&rRLbwtga+TUamP&lZN}Y<=r7sr;CmhRvIn0A(C=>T2D zIUI5^!FNFQF1aRZ*v<60bxcx`u#lzYqW;_cx`@JB`6B))CVZNa6dU}k6$KS{UGm#> zEf$L^faDYVa`c?X%A#<;eY7|BfJEKL?>Tlzf!Far(cF%`Ksvx9-8ufZ!nWTX^i&OP zAzSSPV}QPvHDqck%Y&V$rbd*m&8uf*rP!0eFwdt zS+YMN76n||)5;gG3oDO{IS{!tG(FVT?Y4@^8cA;Vy%5Iau-RX$`lj?p2;Ty_@!4Ct z^X@Mp!Ws}_1Eek0_TC#0bBe;Vbgrclko*4UPiTE{(!?goe`3Wlh!x?sS~>eON+bDO zxMV>KjM*K@(Sai(%>J0349M;JZ_5WM{U!(_nUe^&CGidTg;C|uNRiacNfUcV$S|R@ zPF>H+vSEjUHM>}5kzO-e4mnOvif>+%L*>~Yag%Gs$CxK3+5rfgm6pS_0FDZ9Qr(X%ccl;sldjq zGG7#XVkT_^nz#GHJQBJ%o(=1fv;1g34^MMnq?6=aw=iCa(yX~REZOa3rfsT|?p&FH zBJgJXdBT6xQD5}pg>#X6WsnK-(4e!Sb4!fc%%^`VitXbkPHl3QRl=y!b1}xnlZaA4 zXhk6&po`023kQscPIp3A$o_eo3hYg;G4P`fub-Rk!fVus)APxUS2I6|mJ01?(M zr-K1QeN05CWl=YM*;3hh&Jjq<$Fg(;Q`aAdRMTcx<%GG`|9unre;nZY6bpdj>&En9 zJu5`Zwyt5B352KReUH;Mb}T`2T&5i8ZA(pD%{DGhzmBZ2ER-NL zTl!IrbGk7>F1)gp$*tiB@Z#}{Ny%qF>AoESHeu~R#4L4QS%2%WL2#W|pSeE}GuOmM zq>+i6D-Om5iYxL z-TsH0*_Z_U1<7|63#TNi*&E=%NoV&j*~32n+fwXA=X-8$Zk{n&T3^;+jTi>DT6J0f zw+007R<5Z}O}8B&a#LsrdD`BbdNGg=IfQ_f&(atJH)8ad_iN{I8HdjMSP7 zn!OPZqYy30n}D6hIMq@=U-QAnE*`9R=1kzqT(U~;07^3wbkYcj(0Rg%&9o6!CnvoT!KBDj) zT#>_^hC8TMD($*xvUUC#OCd7l@ZDdBodOfR3H1fBr!}cfNzHQXGN07DgatyJBHSi1 zZ(SmE10nRZofL;R-ss!~egGOVld$&X{M7QPl?Eab91kN_avR+KEl|zpmp4tMZnsGU zjhutVwEl4R*Y9_51D8<2(WWUU$kI>TKP$}<7dM*v13$2J_(LZi$hOht$)>SSiNS1= zG)=gN&yo8IVtbxRE@<0?kS(vXQ+2n-_i=-4e#srBYZDnDY4z>))=3LECyY>U(&qrK zMn(*kwm@fV4h2Cw>yfQB5%n;u0n_rv17YfwF!!pQ=8Aw?6W@$tbKzopYlEeYf?_e{ zZd&7buWXZZey<0hMW%a%(ME0+ye2v^Aq~5`ZvSERc6C+E{Cs6m*{AnG1Llx;zDJUq z6hr?_wj4wMc0QSRnFLLlA3S6~SnUS0r_L7H#NpB~kkXu1-%<@dHe)Qo%XJb^^ce|l z5UBicetjg<*}2cD{|i^8iO$owefUXT5uI^T!{tm&`13C=Np;V}aO*#R$vSvzDMzYl z4=s`aNsdw0o%SxBQkn|ieu(oHr8)TU1A@$(rVGfQK&HlLlQ%`ai^yxQ&*>soSQ5c4 zK)`dSIo{~%zyjrI#*BzVbyChnL^8T=8=eHrT7Dp4L6}52Pb%(pWiyuFMBX(T%!~O+wdCJ$&%x(_!lS>N zj;vWAByy!hTyy572UpEL4{}?=zkSE7H-R*ajX>w+i19gIoI#?K@DQbAko(xY9dYWZ4k z=>F-@gelAM;p|pvVr*_^mh12N>+EANQN>RMxu0;q@Co`7+Zf}EJV5m=VFBOpggp!MUwR! z;;wRhs#&|AsUGDxw6*6hj!c_KczbQwm2(g&HRHt@vQDA>9PJbHe1dNILyRB?1T+r*bkh~T=_eLqX>q*Czulb7u+)~xX> zmh6J@j7PjdCI8W;HGup2DM-GVf zDXA)lUph}ft1zP;PCO+g%TBz}VpOLl^G;uK(b!`Oa0-;f6agBRZR7wMGKx>WE7%>_ z98&TZ+ZnCL?FgfIFJtxTN0TF8UEtxH0Z*C8P;#wiSK9%p+1$o@z7;5zpV><3ku|C1 zlbe}V*5YUPxPq@iaht+H@wYzjYto4&;gb1etb9Ejyk;;o8kp|9_ zi$Uu_rBuR}*qDkqw>x+8Z82M=FuU!<-%UT+I9^WJLIrAnL$7Xb5s4%txds8v@zr&h zK;o8Z-OQP&uT}NYyhB=Qf@TKG7vj3y%9h9bBk(N}jzx#wz1xP2!7Y#TmE*6|h8cn> z%#xcoT(yOEe1ggdp^|Rw-)V`}o=Ks^cA8KA)%E}|HIz`IT#(?e8iN)07x*?a$8R`* zhcw1CmCFS@wMKOLnlmZhcGc3k4?45e`3rVk2;Ol*bD6F-e;_U`bB{0bo^U`btCX10 z=>h3(LJcysF=^$kn=>vMf0PzYSGIr>L5<%$rLL7^uifx5nJRIb>5qd zpf;y7og(hPZghwIocLH<0x)*XGbYKJC4-hhj2-QEq3IV{1K2` zcljms!-OkRq^}0^1cL5{Ek+ZaNyOwKMILurDgz;eC=NqC?Vap?lxy9Zb84@QI{VjU zE=>S&?|}u$?z$bx^e36sTT241vEbVs5t?>8Ki^APY}}_L?wuc@n(Qz03I%A(XWl}C z+3X<2SxfepU67YoN)D%I6DvE-MpsU??;cKEociK3@aO(8LBfrH#YZ)@UtI(I7Sdiw3T_O@X`+;#uVz5dR+1pAGGetGr^(okW~@~Azt=g{|+QWaSR z6X%5}uh2;0(#d=oo!!I>tf?zlzx+&AfX~lq&er~j?4fam z%wJJplR6;VUkoIu&$tFVbI`v(iRl}}%}0&ka81;W-z)FOppUX&c-|(HDm$_gGgh#s zOoTR#pz5sg`*rE`^COo`@L%=2L6I$H#F&XCKa*6W_rmT%)~z{hgnPLZ{uL_;w_xw^ z6}mJ|Y_Dhc6KNPW@fnVdX_iDXl|}lde3!}i-V`sDM${E8DReBJha{2C$qN?rWoI;~#Ke%|~II1JR%QZ=#qw2h{yN)xUW}wI1*k+*fjWJmjQp zL6`RE>FJiE5Ls$@6$2@Njz}c&HK`l{lBanBoa|9A^jULfbnbenefte`;(kxafY02Z zuG!cuC1ysE{zCWKNScm zGfe-shb-b4%PtX$wRUc43=5di>&B3Dc{^55+qRa(I$$I3rtDYTkGn6pYlH9M^ZgH1 zp!@pS_+?cO){&O_tuJ`_>R}L=387pj^=77ZX}B>h_4~Uk|0R?ic5BH*7RMIH?b-) z8N{LsYm2u6bfy6akGK$Hy?ZJrW_wN*r=4im5>FtjzVDV1l_*|g;QhN zs_aL+#Q85n{vHz84yf8z2)_{9)Y~uDwGXwkeE!c2?9__RV-u9OA`CWKjmAn6yaB>n z;2SdilXwMu`F95PzFuskpdj8W+QO9o6thI*$i`U13N(2ojY~?p5%#050gfy{dxz_n_NLo|yS_-h@Kv)TwWlDFRV-ZhKtYLLf7Vy^nELu+- zbYYa~SQ>1sXV0g5n=T~7t@I&(a?|HP=XkGvblf*9ik3G9n7|4D0h+qc0wNwu4+oz+ zKFQZVfhS(nN5)z^cDj*GZx;Y00*3$-JF|)3m!gBO?R}+2a|OEUZ0R9%J(}(?VIwg| zIn)hgICwKix$xQ^ohV!)YyAh!0H)~s!OjWqf`1(r1ziVt>sS7`%?N1?4e;laex^n0 zpqkljCHk;i&>|i_f(_pt^IDSzkVwUr=PRJPfk!JfS76WMwt!c_aATfI*y;=}Z&4pj zLhT;4C_F90YQ~g-@HP=z5RdU)B8Qvv4G4yH58J%xG;VX9l;Ll#mRzcEB{2RD-qpH3 z^zl0>YUd`PmuqXza+vPNZa=}d9L)RzlGAbsAg^9;m*UFlI~1Lz)f$3FecQfUl1)R6 z@o|HMP%aUZ4nOO+mu42w#y98Osq>TrPDQk=Ewg_*g{7NTX}z`j?}`V$TyLwypKx%C z_c*tZ&2{3D-tqdCvaQf58SOiKSgj%UX$wc+{d#P1;Jiv&to#Xx;xU18si2115TT0f zGis@q-2vr?l~`{An2`xmcMSkX%B%I{An@}QuPF-{Y@b`+hN#~}&Oa?6L#PxSUR4sB z&A|6ONGbA_hx6ygCu*RMBL!kBi*`^)qjYJz@P03~q0G{bnT_BL+!MpSzVb{ZL)2RNJ)OX-%y~Cwx`pWB~V&>3aokpE^Uvg-L$i!h! zR)!)1`613Zk>pqbd2f;{&aq)VRyTS>yWaXE12bVFP=5|caQcXx@AiuL1*{~pmdsN`zt>-aELEC z{aRY$OH1i*m&94bA(kp#zV{`}H@ohd27xA<1{YRbmnQ*ThQP1y>R1K8c1v9id$P*rkqItfHBA&= zh-pY3EIi3<)nePfMkKq0mYP#8@-(|uP-^q+$-o_J>z&!fgGAN`42H%kL^baNT9)L# zldy;_d@|CRv>!i$JL!sVKk437?uZ(A>BzG7mSSW@+LUhDA054`Tk%xNCxBMV*SDcb zK6fN%{=-?}7QCg2#g+D~K4+`baqPxz_Lo`MbY_M+AXiaz%w zFrHggoNHQmC@z#WubcnGmQBiqESlCu=%QUn_ZPXB$LGgD2#l=^t_!IR@F&6Go4y7q zi7Q{hYGScvoE=j`cQ)?(U{L{lIfQ*pQo?O_`ARF2ocq#p^UNQdSW0M5Hc+ZqRn)u} zH)3BEVs8s46iD~zo;Q`@>X_`c|Y6&VsX>RkwO^tdxUB>sVY;`jI^P@K|6UVb*m@@2QG+j}Ewk`F4Vs~FxZ1B*(vI~Id%Tx!N$$1W+e2dZS*q&7 z)c9;sBua+))N|)-_vKmI*4D#C>SS(u)CJQ;)rIISD;8PUUjF&!l3?hg4?)k3c8bz` zae_kwHB4Y;vMg;mYN0%lace=C($zg?B96$4PbwVy{S$Q>UopZ3O+l*7nwLD&qbs-g zkhZCJ`nd1yJ9OWB7S{uPv*$z~@N1`_RE4dQaf#n>TJJ>Y#L-dTCf)i#J+NyjxuK>P zBLh+ptoc&+qxhFx6l$0jZgRityfYyDq=htd^*5Mkza|kMcAVrdqW-$vU>*AMZ*vLe zVsrjo91BB#VupN92;+gwT`QUTHLv5UZQrfPkO{a^g6Tu*q%)sM2L zICIK|e?;9VP|ni)ij<=7z8;%p6hFep8RmL`$rDdMvc^>!ti0VvU#YGANaI3)TM?CN6miFFExE zmW=dM#Z4)dNhD7Z=h_N0?6Qt1scPsQOY2AU$b%z!ct-N4x|={RPfo!K%`c2k-WsVV zrG4!bwEeF#p`2-lBsZxkz{0_gMqOkf{0Rt->87XBCmg~xv&wCLV1m`oREFJq5M||$ zbgLWI@$S)?h~!c?jF7N8!?66i2)*|qP@UK6W1Loe$H;<;qfOuSyjgl}mI&dxXyVX#IVs`s%XnyAX0G@b#nF;llRt7E_ZTM(2lqJ!}9p>n59yZ;iP{QlsS7)U44Mz`{}Y zr~>5D3bIuVG}(w#|CGH{i4;p! z3&fxjQ#;p&$;~JS`8Iz1d4_ONkvT%_+X-(8IMw6B)~kUckc)1Dw;#GUTinmq=-|fL zeIjvyU3Q<1FE0nmzhbt@$2dqK2kxthf{?kYP|Yd@zBe3-rDuTwv%p>rrVwfjpl1_v z+bBI!Wib`7`##p`zplYaE{{jsqxRj>;Q;lzd(L}fr9C7|k~-U{puLWaEl}ukq3#=r z05qCDc6uZd-nZ}3P`mMjuZUre4z4uyJF2I*ctS@%6=#eZq4BeNxyRiYzInVaGgx7$qlv|@7z{!N47j(D*z zSnJ_)Sg5GOS0HAD{y>=4 zY!A1`|GBjc&u70;fq-Q^Heh)gj`lTLnBz8cW(M3b`LJbR_|K8z)xqekET9>U?ZJsB zuE!7cebZ~2ek$Jm7y}+R{=x!INt7ov2N!Bh54L}*8 zcq}AQ*P=dGgegD5=4fT6Rpq4%70oEWQUz756!u)5fd&U3toWE&5yc}Y_%Sz965aU2 z&F~6N9MRloW7oNAjr|khCnHe1h!|PA$JSbJ%IX6Agx*qMZctZ_aMoZpXEHzG^8Rvn z1LfbIJ%f+#^@nGT4P)#A0-N)+bolcmiDcZD>pD#~j11suD;#wR`ia+>9IN7_cG|}H zQG%uq#(f6U_Gm1qrrP~FaPRw))^zL4mTJ4z$`$4Bq#gX`+6NLe>RILb1O%5kWv6>d z5QpHH-jn)0>qY-B&e=%;D6IKeuro&CE^+!-TA83!KOqIeJngmW>RtQLMs3H#^>>YU<08%R>vureQ?(`S@jk^yD} zP_K!I2>}U)Pi5K1=g@R?={&R`e^i|vG?NL&Vb1zAFm|00SKDH1zvuNyyY8|RlkqPu zuC1jiH{LlwDkB`kqBxI@mYK(Qn{AT1_$*x$Mmy5~y8UH(&l% z_Ly8bmRtF?>3**WJ%h$~S(hZ-x-pzpx#kchA<#)%7*orJVHPByo5Ym~%*Ca}cI~6; zEj7V^DP~_w`gfS1if|lsNot|1xL;egnFJMa7m{32l2<#$u^s78gC)itv>C<&fl6j|22lf4E0Ygfa` zEW&4>i;5$y35qs;@r;UTK~qj%^;f%t(s2rWp~@`OOgB7}N#cujj&P->z7|yI6~WH% z9&V9dSFhMEIK~+CJCJ6vBqY2 zqYYnYo-de8`}w`oGurcoE!q-#leXHekY$6~w%pw^J0F0O3obPko)Q`vHo+}jiu$LV zmB+jbcgPe!cVLyXUscS6(8MqSrWwgQGvWz-g~k1NxT*HdhLtnUne!6N(vr6O!Gxbz z^z<)G^Ni=%)ZpIoSD*j!L=*q4i0~}%?6PUH3CCXZyEvYM9tM7wSLwU^+%x4~|DE1o zB-E$6P|kXm3?{I`>d6;7QTnmLZ(hJ*;b1#T?#YfTL4rRJ!SsP6S&);f?BO_G$M63y zW(b{E9>5`vHWmY(fzA^;2z+!m7131Vn>&v`{`tj;htK^%EwBd_iHhDdEIHGBbq4jl zS6TBT-Ek1#G3@@|e4om|kRZ}#=76hTE@8tjD~-&9c6Q8`)sr?-q%pSxEIQ1 ziO_rW@gp(gF91uv*eB-Y*H=J}1hJXZapmiB@_tzD45l|gD}rx1S=1acZ16SF$gT(z z)>&L#IWqIMvC$((d!Tej1Uv5HRXz2?JWgO(XFt)gmW(oR)Yz$gq@SPN!258!(8XR4 z!9FN#vzVK!c?TP`tsOS?MN4jLFhr51Qu|@;GZ@_>GrL6aLP*4+v6>g3kXYtRB0PFq6~D{mBnc0RnT5gn2q9y4`{+(shVSFZf?oK;f)$tB~I(U*gsTd>s|FM z$JqbU7EJ^|4JR?WwiRef;nopIf^+Qw|1x4|@_Xa5sWm6_TRG+xOj4iU89fJgC8+0Z z8mnj?xK&~;bkWEWWAxT@obN?+z#IC8(leeTg@kC|SZDO-qdS`@_($R0eJrc?;vc-9 z!W{yPL>(6h`;+VX&ZM3ZqWDHmvD4p%*in`LcvwuWP~|#-8k0`!nN`LK0i?enF4xq|<}_dQ^A0pSS1^w61t5 zGbSn3%8xCY@>$_f^$gY(b#DQ)to2<<^q;12*A_kZl!|6{s;s{EHQ{8wCe>K^T*`lF zT^HW5xdzd9^CpE@zi`L%#sJ?dctd&)&#y?=r!{Z#_w17<6;Q%n`qZ`ZaUaV4fBaDR-eiMS-KPH%# zmpV>GQ=0~thpYHy<|JTlXs6Q?@)JUgOljm(c&}GQpIh$P&TulUDD}M2MlwK1UrbLy zs8@tMl}*W^Nj*pscKhT}OEG0G#d}J}qhX2raxWYasb;KZjz=a!1_wF^>dlajMl$JV z3F4$y%|T;|dqsMf_kEahfH_M{e7^UkYUFKCsiyHDMCaGUi_C}R=eKmTK-(G(n(d0a zNm_qS8-taAMF57}FbDin zQ2S6noja)Qapp4I{our$2(^3E{fQjW8__(w9rEClfAFR4V{-sg`baWdv4=!2yQFV5 znSAWit^Ki@|9}J4GMwgoHIs+XpPPTw)9bY?KHnq{>x@4n$f}){RJNcb%^*aL`%JC){K39i%b;3@!GS5!k}4>6<;I*@`}rA}7)9VdlHu9K zTf+LN6?3{QH4X{ZBMa6HkqJdcora>Xhg^&KrTz@w#`2FAGB&#I{u(0j=l8q~=BJW} z&AIKyO9#4Oz3DM9s(^B;2Zp{p7ywodq>QM8iAO-w(mL&ksTTAGO_=wVvv(VBSuzf$ zYQ3nDoyNHP9^g%50LFY554}PvQDfLy<@3E&zQT)XnVzySH87|1<3|M z6W%v)9w4Vx2+6-7s(%bmCi4=|8iO4;ChMnlEX&aP#~_zlRKXG7;LzEey)JW>i%>up zt1_pcF}HocCu7*FGe@)+9aA@!dF2-YeXkk4)Yp+3@Udhopc&{-^IbdkgGUi;CKdKO`1@wi^;q5uLM;q51FU9Qj=V!M2OHLj_F1kB{q}^ z`Dh8e3s4GR;{dZDQr)*8kW~UU5}%yv%+-sCCr#;tCLKmALI# zs{U?qgvJ;++83Tan)n{ylRIagKPoJ+MtAjhs8hT~IBBlMK`e?gys_}dle(q32t0!z zb0fJsu2ZN8B69bG$sHl7#Dx#&n56QhAs4r=N-xdPVq|Y#19)SrB)GMg)i7;>e;M7|uUU3Gi&CGsH%j}*er}y1{(Z6fRr!&QIl6Ij zhuZnW@3(_fp1|2^`^0b|LdAh5eN|RxLY5ZbJoq1ZU9hX|KxN8N>c7A{sPP5tcv3L9 zI(sQM0L_Yr+pOdSD9H!bkyid{r)kA&A=UH04erCH6)lPob<;l{-}{%vkw!h?FEdUy z?^s`c!bygav;HmXKO8f$iJ(tTmtvZ5OYGJaTNv!Lu@QQ^C3M2T>nr9_w}*H_99Ep) zeh3Ld-QE9%7`)+O<&w&j_Hawj=D`@@Vj)^{#!vBEe)zV9fN4~}y^rs;n> z?{4YD)il_*e5#=@vK3{dd;f~@1q+GoCH;rX=;o+Sj$bwv{&Lq={Fs()Kj|HrE<2^4 zf+7}zFHG-b&?}c@bvQAMY!U0X8?$pelEx-f4<|$8u~W`BM3Z8=+7^=4k3Ad!+y+xH zyxMc*9Dq2h)yjh#bJtQQM*s0=DUCOd<hB8hcnfIZBUHpVpN0z@yhb>%$uI z>u<^AU${z->WcUWYiFDp5c8O&&_~R~D-lZ64^l-l*wdQ)<=(a*Xr`18?fEE2R=xI* z#)qzm8bkJ()O*}7Jf|cY79xiq#Al4>?tbS%?$0@Zh)nRaFhjM8s#@Vc1f1l%Psp%7 z1mr=DR6$lZMEy6Bd{6@LtJCr7mJY7~WY3ecLz_Ti@iQ2!bm z=)CKTZL0=5|9o#(F)XdJd??#UQ0Cr87n*mcIE41kia#cktYYGYRbpGT-WNoB`4o22 zj@#lBQ?BXz42-1`?Z2zu!uqbCMFI3`gOb48=6Y?~KY~z556{e+I+`A^Y}h7Z0W^Kv zo#W-9|4v91%I%)kcH&4M8e9vBo{;d+nuQ$)MRUk}z#olYfLcC`M6Q`MDqZmrZh5zr zms#gp%DrtOw3dB!SKwz|90!sM+H)7Wy#D$@VQy5e)nSO0(TUwRr}>j9$YOs2P#(dQ zUpik@+%0WW)aToTU6;|oz8>PD7cgrGPEObXd>PWZDN!Ax8aKudtUjO0!^1*RQSx+! zvVeWOuhY0s!aBs+a3Yg$LKhfV-|274JAHRgrM0=!Gjqoe_FaDATCdVT=^jAkI;HO6 z5XQBTnSN{4=7?#AE4QK6RrD~Dm8*v8x_V_Hm8J3G+n7lK7{Hq94~#m%q_Q;Bt9M^v z54l?jwJjbZiAM|CzIBBsDoHnf{IA;v3U-WC$-&x zHRfda$RgN=nQ&bfwf*C9QPy`z`Js6>o&DTR@>}nwO|MY=mbdlr;j_6ki6PrO-vI^E z8Mn;Acp+NPT9qOltj*ji$!M?cAcMQB8y_Dci1nNy2@Z!3psycX(JtogcUJH98q6y)tz7Rqn#(&@W(M6d`94J2;FRe}W>opMPKwy~n`-<-;+l)lLR-!h8XE(o=denJK<>5E!9&&esXO8i#hVwyXITC_E z3MER!hZaOkDebHY>%Sg`d{#g;JPgkvm_~rd!H9OzK4R2NuHqS(!E;5+J2Oq<+yisN z8D<*=l59xa{n5mbQo2s>jrF8=9&44P@`6zO`!sE)vwIW8=sTt@&(*UWs0;-&TGy5W z;XLPTMdE>;AbQ43OBPW=sE;#vEX#BroTRh-UUwxR;2f{CNGzs}!gvg(gFW6Gw+{7NMhuJ<8 zJs3@igOw97*Hw53*y#$w?rO#;4cVF9ju{%_L)dj#PP`1%)@td)kDHRQ5^W#)l?uf~ z8J~r)`9q_v8J^(?jG`&JTq#F%Z7d@8eQ`XYd&Mg19i7E z1tZS}ry7{$*@kIPi0Z7->)L65=apND@wQE0-uJXv6+}55T_)j86MfSMfkTwUc++{kH9~pGuJBC{S$qheB&suXNM&;ZhsGPV}Da%>qcoo{USud}- ziKGx&7*_v8Se$(>5aG(qTjf7IoWNGeVS^0J&gSBz43eenl2sFzwQfa!hb+;H$6H&k zbt`-!-4m`+vBY0l*p!b)Cb$(VIgVbaFCP(gOQ1Dv``oYdiM~jUirM}Z zKHjxiQU@P>+K);c&x2#%7E&VxtW@^}Dl&@ikq2-!ZI#S|S%-xI|qq?IZR=}0+Zf%l+D86e+&f`QPqWz=mfK%DUERjfr~hU?GlM* zB_l4vE)kPoh|}pTUhzc5ZI1!IN#)c7e7?IIqzPMS6{fGOrNl0hy4L{=Z9&NWryFne zI>TS3B}EO|g(^zrcPN zCG4q)FCTgO^OjRpBGe>O9nf>+hwiC_UcJ*d$Zb?)9+#Jinm}Z_ow!N5wW6QmcK4jb z(?MQIjsk4CHj}`!Ji?9oxR;*&gWMbszp(@GQl7MI48wR3v@U<8X|76m$L`T|jyX@2 zzpUL~ylnxf6#<{9cFmxh$;4NLww3F^Fsq_UZoEb&1_e-*gE|@PVvmKvra1I|`3{8o zsnI%|);P^HvK z{_qVbzvX_`n=v6}pG#m(r_AwBl^?w{3kVJwv&;DUOm zO;Cl@k>1SuP8tOxYE~(cyo2%rfAwzUy0|I_Jyh{;I83u-Pc`gbK9yKlYsxU# zi1Qq@;m)3$u&fDEeJ(lW^c!()miYBpsbCl?#002%Fivv^%h-!noht(ti=8Kx1t4);oAQrCC z|1zRItDAPerJCA$+x>hxP37UK@RY{{v>SMi8Kxm4MM3(6#m3J4n;ip^icV$v0hzVI z#H|QyQb%W=7$7x z2{)SUbDWxyGeXqbIO##b%Qc=Z_R_t2aKZrb;g4<(Nm0l3vz+gX!uJiZPMK=7%JU`Y zH8MVT+XL{^iefZK9Y`*PZLMyk#gFfgB%;lMZ7y-P=1Xrl{#tTT&}ExOlj-qB@_gxV z0!-G*8fj!4m^PB%-qSM=;DevWdRg^}Wa7g(#YJU|_YY0h!$PYSR2;s!y$wa{Nb^qo zu1T)p8WZ}=o4#SHOULZaeX5>(7aV9R7Vm5(51e6cu^Ut?+i8c3`Q*>mR%Yg(1SF0W<;*$AG->L@z(jK zj4a%Y;-`D;Ar;6N%_0%zOi40AB6~l7I=#vNPq>t4lTRHj9|5bXy60)n{rbL0k*A}p zzl1d7Mpk4U<7d*jPcJD)pR%dWZZGv2pODy$2kgu`<#M;=b${K%u%l77CnOWxkN7I7 z$?R%fi6pO+@zj4EHhIZj(?XTh=`TZ^FLf}IgSU{wNgiOfW{mo1 z?3JeexhIgy@-;g`Y;$SfuPUyMF?#)s^Ftqux7AhUBB19OyjS|Hsr1D9U_e=0s_+AC?ze@4I{ZuLWpx%%%twXB%Cj>Rgt%6dc~uHizkQPiOwr* z#U={L?i=QN!L7KM!g>oqxIV{x9cSe8XO&$Iul_u+O4$H@sRuo?0d|3T2B7K zX0t;Jn}355%xO{FZ!IlATAWS7&8dt{|7BleaE6P&p8D(gr@2*t%&~mW4bDfHyq+;L zV99tA?0nmK(lKVh(8+3CFNP5Q0oP1h03WpMa@HRmQZI8C*mD(8tSyeoLbibh6&AeOhj1P(QeqV#e6OybbWPc>hp;<_2@nEtzbHYb%(>&x;b zm;FGDGuGul6H0G%9ZS+tP2!h>7?Nfr$!r2Z76PXrP(-(Qp3cs&vWtvXT zHh*Yv(J8(*c*D1{xw#m0XqRMj!XtGhke`B_XIW1rRGRr~Ee8RoRGcHxujP;bx{=jzJO$W+Xy z=`yp#h#w)9G3U!aDGtazL7E;^&#Aa-YgsdE6~2sgg+Ru^T!cG~6ZciUfaF)Nzi5N= zfwp%3_Aux-dm)YfpTa~+`@pe;ebEtL!J~w3b^3X8Ed`XN*<%LZL#g{ypWX}F>9Z6! zj$pph#Rz(NjZ#D95X<6H$3a(!DjsCd|MO^@@kzbP&u3ofo>A?)0vVajW9a8C9P&9% z3s5rho%|nSjtEi52y%ngztfrjL7T*%rO`&CkZrvH5J$taGPflZ>CkzROyWHUzS7a} zu}|si`+IvnP~%tvNCs!NfB>3fSfsHuh|Xpg6isJ!P1DcM zZVv3DQZ*fxp_S7K518Mt2_yO92FHQ=fWmKEur1jOzLiJqPMrK7G$> z_xfVyqzdO-$5h$Kx^4#+VVYe}sI8}D8hPkaK`75N8G_c z)YJX)hQoQLQ?7N&u?F_Zk#+L>sgt%^l5_g6;S)aXUs5z@>r)YxLk~t*qGDB@IVo8E z)szu*Ua_S3CWOBxsGTLp^(2a`hukKESt6;JAqIo5oZZ&7fF&)NIVd^Smr}UgOiQES zmSxpmh1W67s-bx~O-O=$Q5?NE0Q^LSe0QF``d%1~YR1lCQ! zvl<6b+r|cf0=xT(WfxI;WBi*Zwd7XQoj5}ON>D8YT?5s2Vip^KT9?SG(?GHI_l)!T z`;R@CLBZD8`M}H_TIdC*w^A(^z?rW!74NUXw#6iS%Cqi1rAN7)R?})2Sp;LRll)m9 zAfJyb?>ugx?h(`hJ#gAgZ@cQc#&J&nu@xy_ppHF3|gpBRcY><7# zF$LtSmZeBLe>wwe^~G+zx1f;XGVxFSo83=ik9_nQMM>5Z;zWaG^dXM<0alqldG%Jw zYgw)FGq-1dd%25zUsO}nf}~rXuG$A6ww?e@W=ZCNKe?Y2dT0(O&snTK!ED&nhZwip zm#XsXk0wQcZYg|yIKj=Be3j`cfu`0R0Dqp$E!;f_`{kut^&ENGF48w8L6E36C|_-{ zGalcx+;aOkm^x5s*gzBVKWyWS#4_=r@$wuZnBa^tdLrKBGd0|4c+M^mE zruAWKzA4ysUBJcVdysvPrwb@??G?@#WB(wPa;1RdCBl8dKIDS?LM&hey-$mJqt zPQUS3l)8UyA+~cN?`!EnR(c0V?ex#kbHl4srwT309bYz$^m}WvbP7jfV>%B1dhW}k zlmhDn0(O;TD;;7+%JrCH7A zjt7qJ{;%>sAFkMuG1vmgwWtGtIH>bA5I+G9+mO#%?a)R@{rbgQeMw+zc^u@&ytJ;74cW-$$^?R!|mQwkJnuO8Q^Nszz zs$T2X6g7~lEp36*8V?e9tO8DxF1dO@bvmh+)*ZYEkwwr!m#!Yb2tiARdd(TTGRDAQ z^NuaLR|Lv|I!sZkO=&L1PRsJy2g-Z#mb z;?1#x-=`79T0dmVh`Q}P8V1RoF8D6^7A~G-6G>;X=;Ns@ZJ9`xyl{+s)_#)QZ+W{9 z^8I7E_PdmPUys4Kmb%1UR=?4b>UR7hpQ%KVi5)HEPo$KShb-_y6D`w9Z^TJn241QD z;{dJyI_74KUWXf8BCJDRfC8AkGEqUlO4j5lr;$$37ac0Ag>O~^=XQ#!sHZ12tF~dg z@W%Mk$2`;SQ5vPz7W!!emZlKd8Mk1TS|{`TEvTZu&Z}{;t4Sc4vlq5(wTGLiSG4MU zxa#fvhB0pjUvj}^{Mn|CgZSUDqGZ+x_2}gHo-N)pwCTzJDlFRj?dLb;a+UU}zVkvd z2*786b81?C+eq5NylAk1)EyTLokKQDg*l>I-xFq*m_GKkyGuKFl=MGGMAb0%i0~+&*wzi0jx2eSU-< zHy}h{xGhaY^yYo$tU~?lS20A1Z3tOteyPjp37W3^$>uQ!{&Az-#pYB5%P_8r`7ugi zjBE%Q=G=w1vojR@)s~7~#7FiMKXyh|q(u`jSpnzvH^j!R6;u!mleaAYpe(_ne&}jJ z0T$q;ORhF4Vt}HU?da3}KB)hs2J9AfN;lGKDCRGT5|i%3qE;VfS5%R8zhCK83uf`%&KM!b?zowE_2YVVqEn8h~Wv$I(2YrIJ$GX;E4H}yEtmtyZNb7-Du^ z6k5Po3N`v%n7=-lb4NwK-cEhD13!I9uxGOIiZmjX6x9ar;wR@r17BFv2xuMAXLz$rpU6R^!cwmk^jOskV2P%jr2wV z z{g|-otkwhZI-sfC@BWlc`xfonkFgL&>lY3QQSZKl()H-`U?&tqu40*m)D?!I`)8Wo zeL%@o!;0c*&)wf@AN#tvEwiUBxX>qQ(kR(B{l6@Ml4#l4*+>4!SB415{*qhaB1=|F z8fwNdg%}9n5B&gCQ*V{erTq=`=bg-)v)y)4(BlFm^affY1q27^G$gsIF$HoeO2Oz4 zn_6lt@kAhX@i2cxcJ_Jb>V4iO+Pe`}r&D#oBgsog-u&!tZV3?YN0Dk9c`VXw4aGR- zr==yA3ZI+6go|^tw2do@D+V#cFxwobnmngvd(ono$KC^s{=}bSu0$i_9c#)zhZ83? zt#em;|5!L4MlHh0+cDD)AY-R8u&8oOG>a7)no+3kHMdlR@0@(H18nKk4(YR*K0y2r z!z(>LSJi;(z935@0ErqIO=fI-q$r@#*Q$=7Hnbh_;SU~zfYtzEY}|#bcA9+%VgMeT`_XZ;q-56;C(F*+g+1l4EfB* zyT&wS7Me+L#h~G^fn5!5=geQK0-k2MVPo>~YW15yRHu&JL3vy)@CMGNPOykZI*{Ip zLAy{T1K`bVKeCPb?a^5BxPB}D=dO=_J!V?}pibn8PXI~=@1%KwGTy^C8O4Hu*e_>J z_>h=iYmQ;>^Hn?^Y`k&AMZLz{yzn43k7vc`ubOkA8VCA1Z`nZaY6N}n|P ze#O6>(4S^0p_vDhFEYGg$31vBk(%?MZ%}xV+A-+rWmwlYd%SE_8kvioWXn=BR1}29 zyBj%N%OVrXil@h8nkKl+-ug<|QqnX)4!r=?-9!Zt%YgSOcj<&N)g~AXmPlVL13eem z*x2ojfjZFFF+y0=Xk5V88Cl_-9Y$2WV9o`0v^rP`4@yqYsa;bfjB()l$|aR!agvRK z?CiLq1kW{nwM4Kr?)?yL2H$iE3EF%^J^U0+vBGutsYkLH;b8Gfz+A-igaid9b#LAw zwN6w?N>A!g>4?D^PadGSMHE)c31=YmiUhJ10RP^rbYchGIgAC3y^O*!O-?!VGoMjdN~Ww@tz5;Tr*KOT*26nRdP z-CH6Rx=0x~kTu30W?$(;$wG01=w?PSDlnSd)`wkzrbZfVGY10Y%DUWPg@4G%KB61? zK=26y_%-W)75i`%`R4GPjkA z(&>*u-~wGF(MzTP(eA6SK_I;3!){uTr?yvh3N081U_3TQe;8j_{Gd}bE#{%Rcz^narnzFF=_ANnk>C7zAk>-c8G1cc0IxV34=ZB z86yKUNA)vnD5eI7#Ly#AAsRk_)XeHkjUp6>w^|_Vec>YwfUkhJuHcoR_le~*-+Q2T z<|ud609xC-i9O)KUExA5^qql*FDCaB$TJ7$#u@jk5r51Xv1{&YkGuDfSk>QAO6bz? zJF8J)^nnundU<%o;V`=^ua%Erp319+8OnFw6VrfcZf=mTu9=1yQRT}W=zs>F$8xrR8fbFk$h&1!%1qFK;q z>cR&P&A|1l*uQQW#1SJ?ur;+8`zp!Y44`!*cJ@W2_!|$B2)6(s@ZAJb%t1}1xA+6C zVUj-n0K$V&)525+^i^8$@+JnJWgQ%#`By~2GvYaa(IRHWbaB~Xdf_cb<2D{r?(pFK z)-i&{;My;hjwGfR%Ot0y2#n7Uw*nMoW3TK5YH>IXOm5cMhvn4zuc$Fd<7TGVgZ5*_ zOkDXB2r*g|VOFUUnA?PZU*g&%TrQ(F%3VfA%8+-ar+et`Zb=EF*R&q|8RZ{dHbR_x z)RG}z)VVLKSP8fG)Htqt`DJuW_osMD2=C-DYPur2A^da2;b*OaZg_6L*>HirCV~!I zKTYlwP>LYQEbHRQ{}2n#nqG}ZAjz9192C%<@Xd?gwfX=Lmhch$wa;jK)E7|+y^HDe z_)phFAAv7+_do|@!L=Qx*RHt&mye{*g0tHk1&H7dmqNH~)SG@(fzllg*|m5tQ&Z`v z%f*wqVg4jiSI>f-LSA2c2VMg!=tE3_y|?u%-g;dDw8a37I> z&l2lVB<}j1lIIq`L&I%~@3#X=BMqq-%MsKeaKt~jb!s3;N+%1W;k;nTVE;Hm{fVd@*vD)u(v6&?ax7VKexBX%;Rn|T6UXy zyT3QQf7ty!$>KqMicvQ_vl*LiV1WnhQIadqgRDAt za>-_SS9JPtIhi&AC=>)*E4sY=4H!BZW(&!n0DZm>lZ<~Iz3GL4M|+z7G#xjj>54-O zv`~8*X6r<}_A0k2hS#eS>QZe-RV9tEPqAiBkBl7CXhj)1r;ThV9KDqf^M+it?0!1S% zMZ9YR$Yuf4MHtCi5c@0tTmf#<_Bs7L7(R$nV0l*zG+L0&C4${qOhpI$V47TD6Q3+( z7{LXf3ao!-wQ-RsKKg@JWS2Gt+x)`F+t~W-uIy}J9~I^}{%k5(Y7F6F3vX?dIoQG& z0pfq!iAgYtjQu(Up|LnN{xh?8Nbykzjz?k!`=Xnst9H+T}5exp$*#wFYhkA1y&!$>! ziSO1_oFy$bt$RMrtq_Ya7FDl;g4s^DRuNZ0rYa+#}3l>Oagvy z;7&D__(2b}Y_~ZvMalc$amciqn&2I#cM|CGhJRMpty(oRTfv#@?vLkfYWUwy+sm5d zt$p4()-s6a{BAj%u^^w$Qe)q+b3!PH^v4ea!aeNZxBq4xuvk}=6y!Gf$&diXbt zY9EVXdN<%lH1&v<9-hk?v)^;Yqf6l0 zN946@<^JOvwyG37|g64*^g?Min3maj`2-2&x(>dICC3Jhsu60y4l%G$tEu_@0jxrhF{B zXkO&vzW{ZHp-#eiN!kifH(LaQsOJ3Mm9?blo+o*IiW)Z!YdbXeloy*cyN+GERpEHD zC@d=^4>!CIYy@*@6N26!*hL_)194a^Qh-_O9se@c0BqL1RrW*(y&ege7I?7)%8&Us z`_lkZ36eBAb@;UJ3w5GY@2jUE&u$mKC7_`1{7#=UuI4WA7`c_}CrAHWEES6@l*)~3 zLCugO!-#D)Yg*;R-(_^Ess1+3gYE*?zP2oqHkw_m4cTE|JgA;jx)nnn(F~vuH{38=HUj!_*n*HAP7*#R~wjNz?@_BqxsO8X-MRPc?aR@Lh6O*4F0S|X~6wCOYlJJgmz-NVl zZDq`Ij$Ko7MwG@+6vo*ay}Y0d6lGn&;c^eQIfkD6mznY3vIdH@Yh`l_blPnaDa+C6 z4b?yl@kK4R3F}oEQ|7Sf1ph0M^)U0oSAB1Hi#dax-y=_Ew$*@rYf4JY@g!vmNs+wk z)u`ZM<3{>yE$cRIctAF6uUhxMG61dwECBY~HcE>{(~}~>^WUbtf%)MKQhnun;7#KK zk)n3XKQB(>?sqz#Kz2dOaa{dzN_=VpjKP5-TUC2+4fpuXlTT6HWpE`u!q;M zlPtuAzAa!=`at0Tr`mXwW*$p^(Lg2z0Crd$JD)lcNHSqw4=up-HZ`k_8ZbFQ5k=y} z(7BbA`fZQrnxRUi*=fR!l?+lrXtx@_qYFeH6yltwE}OWwd`%18wf9>8R5~g%l~WsJ zdu_au&rjd>eZJ}DVZjxLbEW>~Q8ZyQU71J}Ws`ZDCt~8b(m7XKo11DrH7Qy>wGw#O zW4Vaj%7}vS2#yH9nyOvXw<^9!(t2y>b#%Qav2Ui7WI!N8?D{NQ!`_e0Kv z@}}2^D3!GStT2);cwf{B&Bpm1#NSBf6+_~CH z1nj*GvPpd>?*NGeV$+FSH@DVL#8yL9mg_WeOEl|V9$;zS4*0&z&Hep7qo^0tym?~R ztj$XPuqNF1{voy|Cm^3v~^6wWJSp^_h|iy0`j$~{Sj4&IJ`M^H$+NM)kfsGSvN@J z>`vCfGTl&cj2!X8-X}_8^v|)w-<$rdj_A(Gk*SigMwPXiVTZ+Hm%XB|&@OLot))%0Gu6<(aV^m6a4 z)wtHCvd!;2t+d_zB8QM&M+H=}36r<0>$LXI6L$UXl$?WF;&E+YHi6IMfo$h$+LBwQ zTZLz0z`cgY=|}t1!1`=CQIcig{_rVV^`ju(3g%0p6zW2w&)=mA^9DKP#C$k93BAGE@)2}$J!8WvwjW#j9t?Mo{ zH?oJQE|FHeuLSRo9djI9y0=cD*C>|ayfm6Hc=q_4IBm_oZ%gWBg6qWQj`_$sc)+pl zVSdpmaKGZ_5$35K9a&a#>-5-O#Q>Fr1j6F!Y-!6tkm<0foVyrY;;kQe)tHSgN0%J6$w*v$`cc8w4x^)jphR=&vKG_v zF!O&y$2aBzHqtQ%eui@ub05R?ySE*loK>aMw@ydslW&Y!oyqaMDt`V_OWxn8Hf6@Z zt?fGdW%&KwtpM7sQlH3&o8k_shcFn zJLYpC7Z}@a&q(^Q% z=mfaiieR*+o^hYsK!}*`{T@bj>)!GEy~dJ7L%C;QIfMln7X4F0h^~pD-37uuTdwmO zk@bWoTY`GQ@2W{T|IGDrc`hM+23_YPYvZf^k3PIXcMVewt#TAgRy&`&x-d*TXn#A^ zDY<1gPD-?o&97%!^)7!U4g)f9XGY9BCcZ(^jXYA)J(#TPyzBb&F5PICJ`xjKnokQg zO*O+yNl*lfK4xd9T}pOT?|c|uqaYZR8oeRqP&+6FrYVTnqjnly1uij}fsuh-jXWd* zO4YP|-F2z)$N?3A`jL>$NWRW8E&6X2KqGG%p5f~&cdPC*dQI21+RC)-N(cPi4|$-S zVZHHuZXYGfCeb*So#CJy>ek!ngV|cBx^*)4M1*qV-m1cCX}SD9tmLIT z%Wb(nYr~9#LC98v1j)V?G%VQTM2WgvG|h)(Oi&@;DK~uUqg-Y)0};uHA!ofBhoMc{ z+)o4e8$@Ahj;6{vOK=qHPmx!H+4uJ%T>2aTF!j<$2hs1wv(GKAo_e&GCbh0;Sp~U1 z1#Bs3jbSkZdfT_tZD81dmfiP>Ww;l@Zs0TkZpr1naBlNUXlN$$4|0L$b#Wmu8erqV zZGT7tP_nJDm#a{=?lIQj4_>C8?uqr_<=ouFefFr|a=%q^Ez?PQM@%oEi#$;&!&Rt;s2M(VH)+5g&AA)EYK^i%F zNTLFic10hpH`@TnllbOhD_~*;RKV{H6d^qGB>cehPUxwAYJ;WU^Ramn%--7AB+|_= zAy$9h3YOK#=DL(Jy9+S%K+uCHM)2j!4XSq&IVZf?v9z3D)<0yfTsaV~VK9%>|E1E5 zsxMgkJ}gCeKk)9~GB${YvP{dPN*dY#d;-R9vaQ34F#4t{b9fZQ0DPeVo(Pe+hS(<} z^niBd0HIdOXZl6SkddvGU!L8AbjB#tud@-&f{)u-T%8(Ny5VDA!C@RlcFr4ryf^&v z&@Ejvs0TpopH^pG?(J@HD(kJ=Rv47f-_aX6{^eK1;SIf2@8(Yl)^$ib&ivR4b*Frc z>CD3T2)Qt;>^U|Em-GDaBn@qcvZVek$X_0UfLRA<7`5x=0h}lc?+HLfWe{z*yVVW) ze7CmbNjVK_1Z$(O$`pT*3(*Jn^r(M@V?+m#Ai_9`%5AvlYZSopXc6A z=y@1$fE}Ms)Z!B`JP`7Flu~|&Y;_cF%BECwP`GhC)AFYkEYKjPsxN4|?6ps3Ffcg) zs{jc**=n{tx?el{#Y%F(Z+bRo__IV;?hDldFF`x8-Nqw5d}JTFPLUhx&%b1WE2QWk zEpt%@P?f459ujr^#ck+k8G@)#0UmBR+nO~cIJg_4wCPV(z!oBV7r0XmaLl~5zW-Hj zJaIDD7EI|_2jh5Derja!%J|f+tulBV!B4(lDVN#)f(ZL;{B{4S>)I>}VDUz59oXz> zg%{I*U}SqR(1}lF5et3IYDARQdv)N2#omS7KxIkYx25%W57~8zHn=96k@gG7>is7m zw3y+C#L_*ccJ##nh=nt82O(o6G!;WjSNDxfj|Ja_%^1b9+Q1=|2KBzg^x)*~`*N@v z;+gnoRTZKN*ue?a-L1cWdb(dGlo@3qMqHLG=Ht+sp@IC{xp($Kh>ONOmFrlE>Q=`| zTghBohM7*8Mb7Tm*)~lPebF`b2a#UL_*4L~1Zcy z=g%)sE?nOK(sse}ZrW-HzAi1?0qb(3>|ik*=GDair1G|0*e92j!sMl)0a!ru?^~%&oMBDYb8*=N-bazfbD3w6{~N)ex;+m~$fy92u|F^*887WYZG_VdTqWGaJCRRYh#&A(sMcuH~%rLw>1 zBNr`!GtyX~#xKSDnh-nbb62ziCE zK6(I`=K?CI!BxXgu2q%5e^mh(NCq>^LNAU{{|pqivl4Qt_L3vY7`Hs!{q4C<&6=nJ zxPGuzcGAhx?@A>gEr9u4(z|r^YV(A8^0ni2~<6En%QfTFr3OEg`O}Rt6zY+4m zN`Ew1WPGC(p1fgyaQvh8qrMAP{BpVC6x-}+H7O3*TS!gJgKc~CAC(t`{_L$!-5OgP zE9ndv@636lv%wyVPgLGI*%)4YGQ}<7b3I_yf1;b}a-LjMaI!^_D_*#s>y=Qed|U~2 zo(xBt{cby3x;@nb)z_WTa{8Di7XJnXIN}#XrvQxYjf5;R8nQReXD@vIRo>9kGUrUQ zr-SmNama&IH9FeHA`-uk94p zM#!DrxiEiVXi_`);4yI}T{8(f$72;&me_3)VD%KwvX>h&2=Bjf+a++ym0E@T0!nyE zmA|VpP>{W}aZe&5vmjzH}3wFNK_r{Vn+l``5>7){}aE~WJ?e~nG#BgaV1->)l3Q#%D zWIdqmt=Kg_^puPVBxj>cG;PP%&WHaBcyDBCWLJ4G80x#9>;ljMd@M=D1swimW_Wg} zp+T+|&|-ma@5XZ*JJHbc!CbO1wU_I{8Ku9guI{I~vz+JL;e0{xP$2%IM|Mved@kQY z?$7dOxKI$}Hc_yCQ^;(TI*|EoH}GjJ!G`{y>vb@c^&Ffm304VAe@Vp4?j2LA{N=Ce z^51L$VzOJ##FP+mfFS{aC9c^HH~odOR?ll9f1dgJ z4l5WNr?F)<&X{{Mr8vKV;|y096)HHmaRFMO?PU$g&HmiPfB-C1%3b}*UIQ1HP|Z-T z`C3wD?6D(~s{xp|RFHKqL8W*!`7bT}R!semtE5uI>gfvaSn=`QSKNHDFdmW;T z++6_|J+EI<)X|<27@WS>Kq--Bk3&jfeTfeW`CtL}{#y!9+jS#i&$OfQt(lscuc#!8rEt465z#Hq`cU%|7OePdbO z7ZH)Gn-7~E=Y+T4CEfIsX1ObL+_KYW974Ee*-kDl$Tq5+uF{QZ@v?{_sBo7$nnW&S zEI@PbN3&^1=4)xC14okf1eV{q!buqot!(~5$B9~(Rc+^;Oy?SHa@sFJ0;B7IPYxir z9SQ6lJpb&!+l_jpy&9<`NDM_|VYEIS_I7);)^bYgAJ7vU8*e#1RBVi$ed_9V59b~T z&5k&b-G6wL4Rd^;9TIcmEreXV4%3~b&uG3mO-Z$~>#2*vH*LKW5SH&`FA>K?;|hY3 zN;7d@c6|_;fA2OGdPry&8am_P?6Xt@!xJEL5KtO)6ZJ3-agL;|+iJD7Vwe_P&g~3p zrarDFMF~i8gR72%*S4o;zYA!}@*VoAQzLio{8!#T-7aw3#v0VYghwxRaTu3B{e!vQ zuBX`ncI5Y1q)92V&UOf>$q@_B;mh~HJ!fKgZAtc*1=&_i6AjDVSU4TxLV71WTOQp; zxwf22Q{q~HGQtV>dU7O;M7*N?S}M%>WST(kd5}8a%NLcTk;c#9i_$DKeqUvo8|u?T z=^EP9%9nK>w)Yv&FRZSts5=l)9LHAXdPXJc#atD8Pet3w`I6xS>jo{*?JJNqd=$697&KkUSLcfAYn@D2Ra35;Vgg3S!7i1zdH3hQ5d&nahWDB1r2 z2M{|@h}!-80X5f~MlmyjA&->W0p-BShb0L$0b(1O=u`V?DL!OLexx%+cO%?SK2Nt{xY z#t3|}7&pJ-QZ2?*SEC4dL1apVJ3DV|hfzP~uV)|=J(ho#U9ZLwO8x(o`8JbT6S7x9 zn*#lh^x>93di8dAs(FO%PIvb}z4?;7#{%VAg;OK^w`-olxRBr11Y;VxT!s@gv`a`U z{p7~9`=>;BXzq87nksq;`2_cQKN|GwqmZ>!;7v0Myb$RA%5SggnxO=h7(Hcc*GH)3 zWoa@<0nNfN!ja7)f|^9N%HOSXM%=eE657+}Ag#!06D&*0RXaqcHpL;g0yX zdGtI^TnnLs>E#M>Z6;ztJs=UmWxp1`qZ-ftu8F-If4VxQlr0S*&|9-I%SYlgtK!?lYk^3a;xXdrVs+4+XMu| zfGqpP`|}7O4V3wvdt*rl(41(*vvh;V~p)^dC7B&sCKI(x+yzvRdz7Z?TW) z#6ueB4PIBQoTu3S?5dMqMw!&Fi*}N$s0k5Tc02 zPZo-=m~L(G#z^9U3^O41>9(1F-C|JUgFNb!K{QEaMT)?@C|Ze@r1`!4XJEI@h}7($ z29>iO2Rb3Rt-xX)-w@!T4OqBI-`;v9A1wxbId%01rJcMgqgx0d;a2D)?M5l?1!7P)$Mi2 zH`srP4Rv=vJLP6*wU7k`EZ09NHtz@rcRXE0J67$}2SU~of?dFWj=N#^MR<&N0Rya# zqqj(-FKlC?vV+{Y0PlbQ9mk%=g8V zd+aF3eLr2%tGN}TYIn$=GPG_j;p)sCa)>+Z?5re8Wg|)5mXx!wayC$BHOEj~t{lo2 zYJ4guys{57G}R*D7lvd>A(J$OY7C{;n?Jd_^P&*)%?$l3wdg5pS~e$9y@CP~9ib;f zx{slH*q8&ruQPNfje`y?y7O#aP@_-2HS-m@-2dT`qyfY>q7AABpso)qu zvsUkOLc7y)LVGq!A?V9%mGrPN!QxMq{*aLG|3HdA*P6TJch-58n^|L0qzEF<~YvJimXLRA|XD!wqD+sNVxC+r$Ny zdo-&BR8?%4>LkaNjlvu3tN&+0j3_G0WQ^d0^fu&iKwAT9tT!&Z`jtS=qlrd?|E{pY z$h7{{F76|6s1B-$27$&?N5h~dL35R5_JrbvZFb|6sbQ_fQd@pKtwf1h`uk_-H?E?| zR@4yonzRPGBfq+t5hsQ5t}FcS%FI1L!pQV(6MtiNoHu}GSVGa4Wd}W^yBg#ykDqOWZ)>$@cb-`}(Nn}SHd-plpcMnjp33a7Cbq1@Z=7ysK5lhNM z&3Cd^?Q`G5f5jx|_Xz2Kw<+mFDnQyAd$Q0<@jU$@;rV~mfPQHMHB0;>AxpS-t?(|z=Oo>TarY%-_`yuxaFrdZ(8)2FT-I4jF-wLAh(@PT%!!OiQo0<` zBCfSpN(2-YYizj-nGDIp>JG|A(btI&zpo!#H-FW8Ff2~@c-EoW0q*REV9-KT9{HSJ zEu4OSUMz*$O!H&&6}8Q5?pjRnR1zBt%IlPKO=(n~Ji@Xo`1l`b$jts( zU`4fM-PXrv6N+*H*Q1T#t<)RTP@22PpuE%)RYbnOEh&7r*RN>5b$9cybBtwdT_Qz# z=I-Y4IMbbDq<-j#N)WY!K*iyRJPq-i;IMi-;Rc0|-KX4PfMV4$0hb0j(BOojlsE zM}SSzb3+blQ-Sjzt6A+*-6W+z6eO&kuR z!6l1~Y<=dyip%8u9m1Y^FJNzYIq{ej{>>0e4n?-o>RL)z!SvEn)tzjIlhppzjPr;2 zA#>TARP^@;@c*z?dx=k;R043t0)N~9Jq-ZN0HTJDHxP5v_YXM&>g32Qx$^w+{__nW z*-G-uytaLimg{G-H_IprnHIsT@I^MY9V6PFruKR}|H#*^_js+MddGUe$>+Q8M&9r4 zIP>9~_E_7ekMB~SuTD5Ughl+KO!gPuHggNiqRr*@eg63MT)`r#$bQNdxpEz1{|P=l z7XeZeG?o6yb)z54Ai7>LQ5p6_lGR(0V%fl1HSr(Rqs~sC4oH|}9su+Voqt{_Xv$PX zIk4y;&=QENwfwSQI)gaC-C+;bzWaOoxxoEtz6u4ZoAi(B{22T&Nk~YmKAnO1reVgZ zp3vB3edckHf;2M?45yFk?tVgR%3qZxL$w{k@K*dxd?pz8XMN@LIq&tA)wkt@jpqO< z0e{72hw>FkKr~HA%A(B#q$QVugsyL^NHeyn4d|jk_&fa3lHsK7i!(i-`Z!wdoNmC| zM#~b&)68I=x|~j9R0;j>#$U%f`ONw@77Dv?qFnN(X$`x)5`fOo4U3(RK&ix2mn24L zuN#~0@9ZdvU{hV^sMZ3~o^?usA(swGT|13V9h|k_{63Ox3K3y_QU0Dqs~nx()pQ6Q z!3tVz5~OO^Rm390D1Nwd99BIUlqIwnMzNsJ9~MQb`uB<|tKQS=p8h$BKmNniL63vW z8XagzG}Eon|ad@ zv#lf(tsjfwS_F_wrIXr_LWJ|zTPCwc*c4jIumrUObhK`NYg|HZot>gyq+)GEvf&k| z@$1W`7hHdCwLTKwIwe&(Rh(j-!SWevTr~9D?FDpvKhB?|9v!JhWTum+iQcAsT~JGu zd!Uu!qcNdRaD^M{xRWi@PAV)15@>ZFq_r0U1cU16HiN6}wace?K@9F^Uu}>+9EdxZ zV8r-oQn*Pk<}M&s8C~D(*PI?jZ(RV-n#?D-{2F*B#SQ{7e}0B2YhvS-<$NFN!ypUE zlxS3lGreo<9cKW4T=oS8Z$o8{hgbKmJdKqyx`eR@fyIrred|~g=qPb(zc%&gYZH-4W#KBs&u$TDTgvnWX( zdbsFB8*HI^UP<=Q7<7GGOAU*wUH(KomQ4tG_iXo&lLj5^_TJ?!zB=QN$0Xa)GYMNp zK}izLw+G}j_FP9BD#8rVZ+Ew~Ie6eF%h{g4^e#z6MkS(5+@6sb)5>rtWeuXaovs(4 zd9aX~TSU2qs22Z9+SumkWNmhV@l=RbVc_@!jIbKL7_`d(MHB9K{X?{Wxm`wkr>IV% zfr<_pgaJ&r!I2Y4q$q@vq_`u|gVE%M{T>n2y|DtHsY>`#OL=Q01Ci*6?o^#Rc=w{U zlOlbtUwL-Pt~bH#!ylY7yDF!%*(o+%zuvoM-#=275d6{Gla#?XLC|a}%lp{M?X$(( zWsj)8=R@+?bnQSnSwR>>J`PvOM-5x>NSuhAyXGdU0-V32+eTSXuu zyIGc0A4<8g_kH>dJ2gw-U)aD!15mxH8^BRnjQVN}5ZdLk$7fb(Ka zrDz`NkN6JuP`oWN&ebb~CnE-D6u3LT)#o4Krb^5qRt_%P%uOxCZ-%aguGhx|!h%ma z!yLTtE?%WNl^jlU24!D@tfhYO*-!1+{|)a`j$;dbebC_E^KWHw)?{OnyH~zJXvv4_ zE?8zw2h-@HGUolOjvA1@gHJ@56y7#~M2X8?Z54%R>SO^GD@oRbKlb%Ejo%Jp?$k&E z0TI@-y%4&!AbZCfB>g@Nk*=UZH_g4g1*=$kzhZc;NBKIH>ihT)6(&8;-C_h z!XrV;jW#}Ru?-zi2E8Rmph2or?X0j^s=7yA>bI#*(|^@Xdp(xfZ_)59o7sV!&;OSo zo$rIm1Vk`^^wSJ7hjPI9Ik0`5UN~BdhFebz5Ng%s?t2xE;?h5Eq%uhDbm{>c#YfX! z?3-tA6_bP!))YDV5Kn2w6YMUYO~X52lYq&CIDyKwd~OsP@OCz~L=;4K3jcPvB#ZY~ z>zldeaHw4?_Aj#0`atTeRLqU~6eul~)F?O{%G!I3G-vS1|x%f;ZpWOnDcP?DQc}os||(!fhu70N%2Auye@n zDV~fzkvhiPu#@q9j+Sa@M61{sFOFc`X4U6t8un#)#vgZ8tFF{cLk7zDY|*&n!XB6$ zA)0No(|_x5vbX({{ZnSjf&&f{3$Q8zyzGEHaYq^-&X`v;eE;K|C?fr^Xdi?(B8yx& zxlUe$QpmrvuAJ;xA`aKx{5j+G^B^#ku{qo(RYokwV&0u;B4I zGDY#~W8086{ZtkZd}u|{f!*!8gTjN7oYt~h8?R*uc-l{dGU#N!&(z6z9+n;sEIde9 zZpYk4M=_C}ao_wCnLKDob7##Bd=|>mS?~EenFD5G>?J>!UCdx>J&`--Vlt5 zQJ+=BGJrN;^(*3>dICouyytHNx-a zF%bq2YVb>h%(<((N&}Uj->@Nu%tPX6AhyN(K!rg{t1-4n<4Cb^RK~;Z&D6}y3G3vF zc?meCx(bHvMzWKvo`(OK9B~SZ7V%s5f<2|o(-F@U6)A*}$-niRQtU%*DahH3!W2vP z=8e-#Vgr|}ZHh7j%s{g#H_d3iok57MVgL|+PjQ4F2h8Z4URvtY&-NijYqXr*5 z>H=fpVQ*P)U1yk7`W|~3smd4B5t#qW zau2E?B6pY}Yr@0H0ZY#TC6Ri#1A=Y8Cg@We8@Jf+Oq_{|mxD_JDpghzA2mQ!w5u1; zi=ASA9=nQ`dmMNl%=g6n#W=~F#~<*)r+N3I2e~G7Js3VU$n1|Y7wbrPKS(9lO!IH) z(myj_cX3}=OQ`pvMR5MC>1t;j5900ePaag~TPL!n;*Vm5f~OaA48q>9&@kKAY7DAr zIb|hU*U}SL37+1@QK-N<@}E-CS6{)@w)l;aWn4r);`lIB47`H;I9$@sX??z5Y<8R7 zQy-pd7GU86e;ISi8|s(Oee?yJf!-A&?_u*!%qd3R&pCH(C185bMJIr; zl++PzGc&mqJ?+|px8_Gbz%`19);W7hX*LU>7CH;313l^k*>pAijo zX+1olWB83yJh{eEZsT@a;#@IeyxfrQqr0#em5U=}MRi5!b_Xv83Y+%v9*7MBzF{YVU7i5WOlF3no6Mdpk`0#A)XP1Qqs>Nd~Wx>#jH9gi!+n z3PwKQg`B#N)bL@{=KEkO&diy%l(>X0>1-DmHB?eM`63(#=!Uxf zTlYWAki*R&az#uAFzRml_Yu7hV#%=!4_2Q?DhO(iHXGc>})R@OdX(ZE)G`r z@Pr8#Avi^Rymuze3j&7D=%&sVZ=3`)rXEMeyt!N1I9_uEQuX?|>F(?Q-K|I*aN7Y1 zoLss&mv~-YdNCffeWM%ooyTN!x9GUyl=f^@4xCJPi!A>;wNi{0LSF!z1ByCFsv=%d ztKnj32EZuSC>_>^E-$!vykG(^Jya~6W|tO+-L?z3mx&Ah%h#FAN^ItCHNz~Fc?nF? zkA0it4f*o6d58omT}WRp{S>#hb#UFm%31aMqMGP&3?i$FkL+!4vA(*Tb0N-}<8?MF z;!{QT408?1wTm+VKyyEaB5-1PrP17`7P$YxdKzd{l*x#Ajx%AVn5f&#+vs>{`>Ji8 z`c(eJFKEfs@r{Z_YjpSIYVtJwA({86P~xO>TF*uJ+{Ns<3E&~$mI>cyC(Z5)OiR^V zVETc9C8_;9c}R=v+`zUXi?!nuhs*5>I0gYhlE5?)}GKwUcziDF(yRp*}vYRNxtxB znhSBqIV^{q4(yBJ62Dz9QSG4ML{|Bw-nVZuFO1Yv8ReBr|MK!dA5tqqy!L*^Z0yPd z`q%^VnPM(mryth{1~O+Xp+IrBCA zsM@gmXc^oXWK>jo?HrY7%!8Y|Og#+x&8w5#QTK7kzcU_i46q8h}(?*WQ5&qs;5TcN{n6ZT*H@h%SFyNcTq@qBsN_lpvqIg56;Kdmv@0^$^JfO*D1 zkK>iuU1Sdlde`ttrw5LX(wqWMkeBoJx+t{tj)N9TQq$YEdHUmJ7_QnD(yVlE;Wn29 z@{K#ECkq_D{Zm9_?DI9jnD7d& zf4E$8v+sBFH_qW5&QWiBh4%2YD$2#W_wkaiKKA(F-Sz*dY)N;sG=TG5w4WwtLvK~c(fs>$M)g{lp;o+vEK#)KIhvJ`n9c2i2w3+ z4zpGPf@iW`0@<>L(O)&HwaZJN99OQh&aagirD>F{{pV^Snpopp#4onJZx z2-|kQyV73_#c*7^0c|a(;UqRB9VQ8o@(7$FS&}Kl&{zX5iLF1Aa$g0G#3gbfU2b1z zBavG7xN|?rQhg88^#U<*#OdykMgFZhaaU^UOFL?K_AwDMxrAcu2&TQ7`}Byd>RL4H zXkjtGhm_Sv4lYq%vwz+jZm!~+l zL9FwkDDP|aSOvgF&r1HL>(Th*m;;Oz>vra~(@6gkM+ESlt9$vv04oud0(S+xQ@6oC z8KuKldD-XB4NAI9i|vfj@6jJ;Q?X4}q(s+0xj3zB1blSo3a9#-{5U`1{b;|arBI;F zz0c*Ck~W#xY%40I^J7@2j9K*9Li_wNFGhNM1KWmzcov788!4|6LI3S+2L zF-*^Atm|OqrsWpa7QgxT<*emWZBfEmh+!_2C$DR0CX?*tDB7^z5>!Sxrrg2x6jqF7(nC%~c!(LkgIG0B&&&6y@u? zSOEaVh%-aSc`bh2r-d=$bbXyCwC76JAMwW8F^TI==!;I zC2SgbJbiF%c+a0C=bJUU_?T{?31w{^Eju??xJ^L!UADAL*{)yd@+u)IWXDPNp$3!i z-q{)>s+7A`=6DfYMy>arbea%FP@}U`kK6V&+cRMfaYEG4NJbSQ(o8MKF-$K!*ybL< z8&~Af0TQL%uuaSeAwB`JHE~U2yb?;LzI#@bP~Tw9MbSK`xLCMEj9ivq8>ahaDr(G6dx{1f`=4Q|Gg$g`0UuOfw+`o)7I!{F7x zalL1*Vj>+z5C+rG z_EP^|&3CekIEw;`M8{LBK3UbE_!ezmCUyzjcjvN)l1)LB<5Hw19^TZQ$@TpKrnh1O zU`Baw<%%KSl(`FquPOXo*T9n5R;KY+G^53Kbkz>ZS&S3 z-lYX6kbUFp>&wQpG~VmDds?mBWJRE({2a(fDYO{DgY7PMu`(DG*SoHIfeN)z5!j_J zoqn%d9msajANoh=Fq%WNXmFEqS=$=w+p17(<7P};gUp;!{cKOS#M3uYe>PiohI=`? z`vb@|id&kICa4Ml|y5DhRd%(1Pe3Be`FXEH2hzEwp_pInl@tlUckVH~f{O9r# zW#3yC7s16PW44~2=$c2;`v!!3u$}o(M;B4D$GbJ|LnDg&`}#eEBO1m_DxIHGH>CkOpH_pyMMd zvEXtzo{mM@b(KQs*NPzJnrw3#{U0LTVz<$--&>40Sb$V0d^ z31s=~8620e>GJCHk}@}LFlbG z*RE<@B(wQe=Sgn6X6vy_f`02@Gs&_*@hMc!S3q6r_1K{@ubj+lx1)xXy-}7C?$|55 z3PZ`?=B;evgQubY;HX7^IQz-2Hsw*7#%zAWVBkb9=J567tDk2hpDg@slpQzIZbGHY z2z$CqPNU?ul(}H6eJckB>z~O< z{YC=iuBQduQ#V{$&JAEWpamUxi2dnjfkrOLn9t-F-gE9By+5Pk0;SM6kIk6jasR?_ zZJIVU1kOC9PGqp?wHnR}`oYq*o>sA!R2rFi`G%*W<2GR)6))6eF8#S9MOiw^NyW<= zVf81Zl~>o#A%v}+zAk(vl(YO%dvdKv1H!Hv^eN?8ku0#K`6|s4DfgcE!~U=DU$qey zK)QsGrd+NA<3{*MP?Ot4S5Hq-Z51x*&IknJl*j7j*66oOM1)8OKj+n;Kb!MD2J|f< zoG>ZY)vCx?vzE{Nf0+dup;{>UTyGq~N#QskqP_5UUoyIt%yH`#+D^_#hhr_8%vWa&sBRJKHvl8BxPjk5wz-hQK#KlwdQhG0 zHS?ufImmqYrB?PYyeS*YZ48z?0z*|-UlUg1c^jwo@MI0SRos_?unQ%K+0MP3Jm#6m z$tZ7=@iyk8%E$G8C()~vco&ojYpQDkRQ?c@3H4v(= zm;52S2016LXsx+=98_0VFV6lgXVq`@f_O|@+WZf4Z}R)H^$)*t*1TOabVMIQ^<))w ztb?&tI*l(o@$?*f>)N*%njQKu)Xn2yD|xvDk>YW$%PY6^ujlyfgF`R1h5dZG={n__mWl{M}d(IkXECXig?GGcx_}HQWI#(<;0QeCe_$kWJAv_Xsy0yS~49|j4$En@QplXDBLTF#Cf#d5`ML;8%g^)><;beU#0or2siPOkK zoN@+qqH>OXtr^vurGEI(nyNm41LV^;5zE3>664m|14Tg)(^fp1V;eGYHZXNY^+49i z{p|fn&vZAZGR=qCyNjHy3}{oXE~_!ctN5w`16sBnObs)++3A)#(dwn6R)eO%Ctc6M zww~#JMPlI>5J8dWLaFt~#{tA}$z6}TyT;%VxO7$LCFK91*Kl8l1e8ojq5ADTX51?& zgqdw2D8XK0yfM5;l!qvB%T?AiWuR#zx%5nu#6kxF$rw?c)lbRtOg zQYi*c&8$G>#7Z>wuOILQY7`o#+pS72&bbaoLlW<3ttl5@v-Tws_?f@t&58k>Mfasg_4|Hw)d* z_V?Mh!6-z?2>I3x^lgQ3KVn$0x!m6R54|8?7{q@1;@p;Ehu9e#a(I`G1+LBkh_!MW zE4K1V@Gt_eU1%s z)~11Oi*TIUa8X1*cB7~uUQh2DmJizGex9`?);)zajyE@?z54rfMp>E608Z{ z*x+xlB;q2;fqU1md8B$dWtd~ErfGU#ijIU&fR2W~Vlql@8dQ2^)jM0nRv&#R?l+c{RZ@8dvh!JzNp z^w5CUE=Y>7ETm01S7!m$JQwYO7+pl@;Gy8L$;vSQM^nHi2d0ZB}siOcfwhN@L@G&X0E#rK+ zP^?QnCW>I!)*dK3R1e4+@|Bya>FFVA4PkLC{ILsyljGBIC2yNJ{eGKVc$2P?iT#6} za7%JBc|2iE11FVFm)fsWk9nHi!{vr1HvjXl$r4A|Wmbc=4jpl)97+AZ{gvk1pB5l) zxxFl}sh-tNozWTiW4-uHHbZv(do1-OsWu;%Wid&v$ClC70(FmQ{}+@_^>64qLg;{% zGLniP_>O6EENF2xlc7Ilnk3!y&s}G^8B?~HJ>3u5INtAwFK-Qf^*fyas^N%>yfhoa zzoojw;~Tm}N0_O3o?;!t?;xmw?U7Oq4rrIr%X}T&o5W^sAfMP~V!3dCJywMeY?Ye( zqfKr_hE>N~Z`08OxUB@91p(Io0Btwc0(cG*os+wT*dA-E1aDOB`zWE6-#I$8%K=;g z(ye!oqcy!&d*`=|$)a8NuuNONHm8vxRgppr!i>qvFQ5K+3Pb(izXpr#9$qCFq^S9k z1?1O{s5t_+p~=bQ5;D+KmTqua>MWax#YNM1zrBWg0FEDaECudg9IKRATCXAK1cm@5 z=`*aH(9$?3ekj%TU;09P!QYHq*6Xgh>nC|VMAJT@{|yVEZsk0cTxgVC&Hjb`FH1T6 z0sQFqM0?JW7=aKDCK$2~6!bxl*I_O*EIk~!Pg?UN4v9@r%PkVbAb@Q;J?@En ziu@ubIX5$}v=BbAOa(8jjH+Nz6P`I*3fNYJ87qEnXIXoQXK3(I#gv+l|68Hf z6K;`vCaGeiyAcU}?~WIkUMb-LoD&MT$$C#?E4|5X#ArENu%Uzr zJS1H}PokPQj|b-_{Z4tB*@&O?q~b$E!i>&lK=DCKEBLhC)HGXRm8b?E{{L`d@;~8V zv;gK~#lh9ojDK@w0UI6G`R*?$;$Gt-w$rc!VU`Jee6IWd8YlEA`u6CviEn+4>(3Br zgJCBps$NWTtOh)QlC58*PTE)T!<`ZCf`t%NV#g$^;gTfk%Yg(tn*H9nBd4S!%gfot zn}-dd%h>uO_h^d2FPnoij3XEzpO;z{mX#JBqW1)9Z@eKfBk=Qy%Enxe3LHg9 zuE*6oJOYH`2TkyLqch~|6FyJ4{qGddyZ=|`{}NyzWb62j&#Yik!ozPRZJw1t+BV>r zD29;bS2+jP0EB~(WlPW5==lC>b&vgdeE?qG^R1CO$qaEB`0f)c*GzktU1h6xA5fWe1{qlL4Cz#Fb^?568}B%;MrZ=fhHYmy3hy zxgUp~`Mh2(`$*1Rq4S{pchBOIi)%BdWcZ-O2m4Uzv&HHFySmGvg7gzYT9SX2vQe|) zjIpY6*fWUAttHlwP8@n+e|xtfJrNFPkU9U*uIPzm$(^|=KuxK(vptqGs*p`_yE16+ z51>y0Yek+}Azti#9!yf#(z2Tm`!- zS?To;i|YAqQyegCxdJywX`%AdwJ6Em9|JDtg#b#H=oD6d%5J-{PsmD`e_oaWW1cb# z9Z&wG;Plq|U^Txo4W@#YIEraur%%k~y|zeS&repnnxvdcLiIg~S<%gYB6BaX16DX+ z1YFn}v8*Wpg<0-!SRi*V7dew1+UmzL|OI)QGa{{nDyii4s_J56E#ATug|YB0x?* zU-hd#?~Ec~f_<>$4%^~aj_TvBsP6(xtlT*c*n6R+x-QE7VK#SnP90Ht)zaQtQ-j(MB_+o#O-#C%tOL2La<0gNK;+)~szzVm* z-G09D+L4Jzuz`^;kQjToZw~r{<%b1uSGsU)}wW&PM>`88MC{)!>93T$;H4|s(fEw z#BK)LoI3JCM@NeH6g5`Er}c73)+G{hE7V-B&6?9h5&^3pkKNV#lUYAvf}=A;E&2>F zPs8fm+c-WZTn8C}r8+za$90a_xQF_d>JvR@C6vk#b!%RdqQ0A$FY%%@SxtNYh2m+a zXgG<(7hj^agrwrffE`Omd}GT{*jS<5XVBoHTcuXvv^f!f**b5rY9XejCU~+HYN(n)I;@s@{(`%)yz`q+U_`=Eh=-Fi+SX$CVG#l zncTHCF=dqnu{GLrj^=$jz#g-K+!2U?_uWa4o>c5DyE-W6ni6TXnzN?SYxuD`X*_>z ze>!{=-WOK#>+})(!r;p@^Kqx&V&qSuyAczDP}YlYxS6go@$7BV zeerlT7*s_qe|n`D)$yvf9$V%A()DY*>Ni+3|Js5Tb&Tjo#()~BTPW_|i-lU2KV`G{ z4LA&Mnq9cEO4W;E6P7$rhPhxXvy>G|O~~Oic9IM6=hjuxfiuMqOP6sjnjhx$r^avW zd6J{aR)s*a+5yFaT8$k5$!!EuI{~Xo45{D?U#C<@g0SqyF7XK%pCk6 zxLHvLiT$tqoBrsTi}!kc>G2C}U9@8s=N2oWZU3xJP_vEffu!hrT&w1(EG?$HEeS5+gcmjO%ua!rt1G>dS zaZ>%CT$HFaJJXPy!^ygP@ zn88t=L0@wFAAGcrohHc#VF8~^uqsZdjPfyYzQKId)8yF9B-aw*avnC+2t|LenGPJE zO8C9>%nOFh$S%^4k7!xv6mhXY0ZC}(ZW8qA{hoNh7I-6*6~85vyma@JW2a?ObdHJb zyRgYSJYx*REF_yRMZX6jDJbBXA{tYhw$TsK5&U_I@l5vAgl$giu zjuKvi;^hHfj`TIf<=~nR%!IyHd%gbkwyx50!|luZ-^T6Xc}~-?Le#L*5ciLmkiO7M#aEpXdo$|4WwOXTxD%(}iLMB<&sueMM&CK3UBme#rgFCS`b$t!tHFLcEWAwW zxY2}kHHPxfZ13q765&g=;n+_TOHtCVT(fGfncck(6t+E-`oI$Dg8KM|I2F4m0ZL?xWE;GqI%;PP7Yu z8HCA`#1-(_FO$<`#=LV;6D!mu>TFt7qfnQ0bqT?gzwJx6?ovO~#v}n<2T5!#T1@kX zaoL!;UuJiwWHc-7GqbJG`2($b(y`DL1iW&S}N( zi<``7e8wdXkb$7h44?tPX8O@vg7bT-lN1u@1eHSFYH}&CE)4J1;aOo0j;msW4R}!?fM_SFt8(EAq zb<^M084wmgc(IT!oG-ieze_L zEQ-Hn2KIB%)xvpZcE12%AYwyytjv7mU_ z7gJ`))XwsYi4C#o3(klzk6*#%`q!Go2tN2!Y2HVJzXc{(8;d!@*gYDivP%y-3-`Jf+q~IWe|qYp zZ0%jrlbSy++9seb*BfeSwrRB}LFPEz_p1=z+!M@q`R276F#)#`Zf|otliAXa=ctu57?#hXlNDJ zJYXj^U&1L>-7V!kfm0h?Q#pakDrcTWcx1Sgof^f?l2UYtlTi?OC0W)%1lh3^`Z|x2 z#~*AAx9b$p-?d%q-@QU9aL)sqT)FrQ6r5IP5FR$;RK`vW=Ou@)2`xA~d*2}OyR70P zLYGUM7`U8n-Sa6{IhBr~-9X;w)qfA&dg(!7foT6C-QK@>rs7866xq06`m}siByXs0 zL_FXdCcv-#f;5Pj!gk=qu?SCm7wQ)7Y6h+lhn3AWKAL49ic4^PdMF$UZB*F3dmC;y z@VL9K+HcyC)8ACBhvaXezvx3=f0gU29uLInAEjKjjeI^qC6gT~yb||NSZm4<076d% zGjvT(PP%w-fwm~4<7?oY1J+*z4KM6GKim%O=t?U@-BJJ9M7R68 zo#L`}xiiBh!Vmm$ERIJ~Ll8QEN1YIe!`cvbpyOZwy4C_OMZRjZkGI zgEcgz$}7H+C+@7ujL0T6(9Xh*57eT$--LsF*|i=Dx5ESJSw|M+Q2X5s!hNxeWha$U z2YB%|-Lv(*JX9K&1dvhE8e+E8JJSP|&3A-PPHX5wm5N=a298b(GqJu=w1Wd2VTK3Z z<7*(O!;-V!jgw!CM-GRDeOv1XJ$B?L4UrC+wFuLJQ+t$bp`z>gjd@ zv8NVY^`C~UVEdkPw@s<@jZMvN)Mp<^w;K!+EBPjUO`fy?T3Ma)4z~zCj(5$sAC zvG55@z7)?0I9j+h-Dg*#ay!yNvLlK$mE{s{cxlJ{r!()TT!uM^T;$uQT=odY+X5(Y%Ow|l z8P^7mNmV+$$JHq5V}6WrrSH1#==d}k6bp0rx|5>#r_GG(F-X!i;`+5VM}WDKlN8W; zE$UfR8bar~zS|8;gxci8XKZUrCTdu{8RFXx>D8;prxN<(`V*;~5&xYQ0hGxVjCFlS zEKU=T6-ae&CHJJ4k0PPHykvA%odcbnfbWn*Cf8BZ$@MB6cL!pvMVg zIw9@hdHQiLNWAUsLN4Y0f25t|0&tco!?yS?h6)gNA}-i3^D2YUdSrugktI@5l)OH8N0y9iO1Dj(VS+pcSKs zbcd)F+Jdc>gkdBnV;W9xomkM4*3kiZTl|+`WF`pVQdsZJ36st)`;RcpxLqXT-JrGX zJmb6a?Hg)jAU+N{axN2Hs){O($NBNW#S*?%P02Zt5FDU!70& zYMpEc<3vkVxpCA&hd+z+az{H$Oes6MoB5 z-?-dTUdu*jZC@dz1pf5OG9DqQJ#*|21m#=rFV%?EwJn=*7bMzK6nC>(xcoOHXrzv{ zdMD(GOrebRdP0$`qV+CICppg$DRtTIUQznD2K0Oohn?z8H3sUwygvv6*fE3Q zZSS?M@Wm`X!mIVUA&w?s5J5V?xvE?)5lq=&$9m$%RZX_c*vL9}x$Oz+JvpiJ%KN61 ze+#TfX#eggqDj@jYbV}o7TZq^VZ&YG;$EX z@~KQq2RN1lF$LdPw)=l^X6hyT*IdA2r914r9swEe_jEc(t({Q~?M@(E09-Z7#n^%q zRc1b@#6tAzT6W^2 zrRq9{YYl?RRo(j7A5pxeg@KZM7st%o!P{Yi)1`W9ce*HG*Yr*9m z7Z;L}*-{}R!h0>YOc6v1IS0kYM>zr{`RBQa_#U2r%D)kf6`v3_s~)>%P0?60u5ly@ zF#TK{EnJR{^bo_wj1(`N)JJ&;*A75gsX&>?pN-AGtn5(foX=FFE8F^O-YA`@WGU!P z6A+pCz<>cwDS9iTj-`*<1;6vFX>ZcEoMmG6x~)t@Nz%|DcPSRnD7&xK^#d7OiTP zf*4lZ74{J1hVNLox7XEELUuyRIDp9wv0N2UByaU}e*6Og&-08o;onu;-pbQeSuaQ) zH#|RTc*t>d4Frs6QLX9B+WanQhQwnTiwUMg3+;B*g@p zK4h2`z7KnVzRoUokCe|qi2rk|S)s*5t{FgO1#`K2xQD^~}BV1TR@^R1V!|NqkL zD>BGq1EnaKYtA$+`8o}iV+rL`!lToxNo zY4j38r1sv|(viAZ4@9_D>I{kOsLM1ZZ$+4ww1o}tp}kit0w~Br?%{SffZ}kE0gy>i z{|rpr|NVUhJbK^-G{$tKyMS#=aK9ox3Dg?iEbHuU3?;~JcQN{vUw_h}aCHX+i0FVe zQ`!psS5Jz#dlz$6>fl_7V3n%$y(O+xpNU;DfDmfYJmIarzq_80r_X)Bctvc5TZmI$ z{TCsCYskRVkE}E<5X#ytg>CTis6kTIoddJ*HVjU4G5eDyN+VgnjjO|ENpU04Jl7Bw$(F~CgB`lfHA zOOcvC@_|V}NWHknz}5O{F*w?!;8{X5MOX2VRIwp7s#2#On?s58PrN%LEM-DXxti|0 z&3#tuFrBfquT)Ma=Z2&j2RI0FIBQ~(ExoO$?rznk{}s`WE!lUvy1ss*Lw5(7Qq=nZ zGTPEgW-U|NPs;u86L)rXL<{q1J&WJ zYTNlqK%(Z=J4D|_WaFZeCB*fTBIE6%Z5{SR+(BG_qxs(%P|XE=d&j5y9qgFlZJ5Os zTuT!G<^>$}?=MHT z*fJclt;4DSgraG1WJoXAd`zNi4cA=n{CVhZ`qwcdfoY+SFll9~-=~$OCf6e~xcn1~ z6o9&F^Dl24QLODvSJ9CL-;PF@U$=a`U7_bO`?fp*EKzV6UBy*@%O5iURy%reCbTyd zw@Qzv2^i88lVWY_*pO!sQqzi^g}QXmV+s-f!jkHbnSXe)^@$&z%ih57CFu?_6qc$x zQ**()?8UWmV@1_MyN>;1X9w}+0rx8|;?w}R5?4LGpE31OM=oKK-@l+3Z6gjG6EuIa zfQn6;0_)cN#f1+Xl*5}gV}9k*?Wd(5H5(bhj((3Q@%?H>>uVUCn7H;M67%^re#S-( zMp|_wAMb6v@M&LKR|Gc3f6APXIC=?uvY^;9IG=P8v8`npr_*Wxo`6oqfQ(v?6}%LZ zEGuX!+Jg@8KHkZ7GIXIq!9o zMW{c)U#C%2kuF}S3w{t7L;w?eJhKtw^bnMC0QwYIW5`ze-J9ZlDFaU%pAcPFkO3Al zaM=QAl#~nxs5}KY3=DtZay~rFyktQ|=T!r2a@XRB8#aX2C)IEB0TE}#wu2MT!d9)b zCrN3?srG)>j$aXTa8~Y!ETe8 z?Rp0gUwt%|Mlbi{yey}fASwM@^(VVF!#vSu-u4ydArBwE6%6q>9mp^Ie?+}?KvYlnIDC5i3Bx5|AwWGH=Vz2*(Psn3aZ9mz(HqZK8ESleZd)hS%<_I{16C*NCPr5u{Gn( zH0w%4T94)=c+k0{Pz{1O;^i8Ll;h^`Uw@{QS!OlomQczZV_-HmV1L6c&}=BXXz30n zBt6qy0Z^15#iluuNrQ^s(%@Kk;Q&C<$m%p7S^2>{VBO=!gfVW*QQ?r!BltLSkyRjw(I7FQ6&p0^ov~kSjH`xtTsjys z+`~3Mw%VZ4Jy8vYhhjlFlu80gUj75^?XHC2EKkA@`bdT;KHcT0(tc)fFWkiKOOc<(|(nZGt15jtr}K#y4^1H z>Vs;>-3jBM#Q*v1@|Qr>bh=*{kbUs#L=v?P2=E8M50U*GESUQ=dWs7<+loKiY2eGZ zE}PAi@i2=@HGAcLq#RW9mEg0ncq<%6L^iZds!~JZbA53!?eocJj(d&iPbzmuIun8@ z&o}8P-$HvCmf+__00SVl93AKiA^*N|5mX*uB8 zjpxU5Gj9SU`IR>Z||Y#pWw1tCjPcd z^E>W$8S>jU*&KgT&W7W|EoaSNh+Typ&xV53UxZ^dr;TWNULg&p|7&tuk0Dt=Nq~;h zVln-8ifrAFMZk0z6$l^UrJ{~xxQs2#TBP+ai(4C%MUdBf7scM- zJnozqCH4KKzf=Q_N`CAogflQbO?dU-P@Kn1!?9yEZp4V|OMMPr>G$#P*q)03DCI}) zuzK!1^V%i5T)prAQ)r+>9P#o0wxSUr^sZ}C&uJht7@|jc(JcDJuv<^A{(uAIkMoYn z=UjUO{b^zAblwzgqHle;FGDMm(~9X5P5%V;2fKVd`ryH&h{}3lGndM0De-e9FTaHM zUKj9j;TCe->stGF2a?*=AD<*s9!}|XaO1E`55JuiXhAlx#s-;MK!^r4saYds9IL(T zca0bz$^o2L`=U`J)wgEITXL;Zr9aat**t~aW;kwutYY6r12;uT^;~~?)Z-`X;CJEA zD;81@SuZMM-b+ZUETgzoyaoyf-f$JL*uYgo9=V*$R_of9xNuN8aIS#l-v0#UGzw5a z&J!0JA*y-=Ip_3=M;Ye)-~Q43#?N((cJ&qZ@IX-SP5a*-xSg2X4#GYd_Ymi^7+MP( zdBTMH5dDD?YxKcg22F4XF#6wL`baO}Oo3v>l+4G!pdbZT9>^pD9#u8>78VekQ6dK7 zjvR?HmN5JxifsQ`ynT#lJ0)QHfAXuLX4BnAUEEGU3DUE(Jx#lr&3HebFY)T@{o%Q- z#TaajgE8(%n5ctmo}4l!3zI<2W~|4X6*MCWx1-{5{3zqvT(A@Va*&SZ{w#+3pM7d3 zvrI!0z;2KSCK9&^zzPvC3H3Vqs~l_~c#M3qMJRjmhi!p$Q_&mEU|3N>&qYy9*;HH1UR;hw*K~8 z>&`c}t@!_+1dB{s1!nDqv3_?5-Y{c^>bE1)oqL8h4pZSO-3M~PZOJGji7hgf$(lNY zJR!SY143{P0f~Y6--!WH`?7tlVSa9G`$8Z!cIx&A73FtNGwQx#Zc+ZF#E{Mpcm>1a z*bA$WK#oVvmCKM>ZUqGr-Js%xY8WW#X1|UBQRV%>0MdxoQp3cx`trOG_*v>>b+`z= zFyzO`*d+g_;JqW`yETkK(GD-?gM;ttc~+DzEzpjDv5SI%xwYZzh;>_Y6o=yHQz=N( zgr(bYN4B+k#Gi0Y@-`O26t>R&GBeru7Qi zAfz{<=!*03t46h@bk1f2(QH$UUk^n_zK6Vp?A+5{Bvr1D=B=8Pt=7_dNDiIKX1wa5 z;P-%yhT#6S?@ZTTK6{g<%V6GVyE_;N`R;gfkqJ9j+6|p>+R-9IsW=$+cHGP&$AW(^yMMnYtMzO zR5`M92=-l`y6Q4}0gjv)v6vyb>wi3x|hO znyFAke?+JuSG#3dEUD|=ryuW;)h0LJ+G|9Z&pG#n_G90}>`9>S)}J%)fs-s;rh5=0 zKigLVpWK#{N7i~A^mIGoSihEqB|5+FrPUyUtFGQtcomR}a$cW0X)ETUaF@2|#C+jw zG4G>TtcRH=iD&gyxFS>A_f3I6KCSOmLMfUYzqwUE8NpH}6?55!Su4@SrIq{Dx79uP zX;&{moZ9+~S)8()6f9FxTMJg*d3iU@$T*&muW~dT;V>jYL(dCcf>+b2zMw#c%WGng zGt+FssXqsp(UyXmO+n)Oe|C3w+fu(+Tel90DbBu>*}V?Bk@NjZX3Qb>6Gg%jGNJePgt<+-<+)e2`^#NNrI1=FE+WKe}3|D|W; zfV$E|(T}Us^*ab(fhXV;&iYH&;tF{ID~jNBB5~@)BSV|zsKgw^c1e?0cQ)~1Y>4ob|ZI7y){ssxn^`;74zg;0IDpV=#YV=bUVe|PTNfXX&m)m?gHX+4ycI-f%e{Y;XkH;3Q7shpkF+ID&LyI39n=4V|$YvR?@;-9`|k*V1E z9wM+;@^nglt>q%e{$~|3+dB4f?-y>1c1{E4==anA-ZG7?dr8}r%?@V<6fw8t)aUye zQT(NKbF%0NU?xNEl8CjF)tc$HbSv4A-p#O&|I1)z(D+yFs9ygRh{JSrKP{F6CF%XtKahSE;4`tqOm%d9&>wfVq8$%w} zvOnv2*&Y3c!q-sJ%Pjx?yu|8fHZi{mi8nosFV`Y9qvk4k7@3JGcY&@4@MiRgYu?N; zK3KNmHEC@uJCax+{_&>SL)BtGaA{<7D*5~5ur4uM*>eG@*%D0$C3jK5S2WS=CtM%J ztGLjfDM)CD^kY|1dYGDf*tv^G6bxYSGIfd*Ht=GPDDznkN_b91WWQeRYcHbXR_y4My*k1g^1+j%(5qQuZf!ic77lsc*up_}vk{Lh6B3-xHlGnL)De&nKQ< z!7l1LjvA0Yao-{S!^imu74NP~^bGDv zGwc_s$>}o0(aDYCgdf6&TOZ~FSP^4ZcdR`eFbxF%C$Yf8oQIsvy`#VH`3y$hW^mW} zp#nR|QOAn%driP~Mua5cN?XWu3Z}E^+PB3AltJ^8vvx4Os_Hu&J9 zCZ49s-`{J?=<0w_EwGRxA+D8IG= zv&_Qt%5OzyO1N=)K8}pw_26trt<4uVryH1&^C+N5gg#Kq!BU+)cr>Pbs&kBr3LWZ{ zgN*(*(7k@N)XnWmF=~&QpR0v%y*a|_MRk{?~c-E-GDMgHICNpR+QH4t4x}L zk^&kcH#+(ey}us@8XM~1iY?VIxez?vt)8T=x>H1^$#^ho-WDdv3@^4z;svoe(aFUL z0Nu5bw-;KMxxG)k`N2BjTZR@&I{bKaP{x zjl;!YRo*?5f4i<5Hyb9KMkFnA<`kbwViO*Jps^0!W_kZf1-D#p)hX(F^Yz0v^ejDv z;FO47p##G9!pEUv16}uG?5hJduXK|rn9aHh+=J|DZvFXwBl*n?;nry@c3A)UMx@B7 z65x1Qr5_EVL9u}^IRC|_K#j=G!H4V?RIcDqxK6j4;f*AFR{Q+~vNe0f$apDKJl7|m z2L=vz_UohCBjt=msAitj@8x5=5K~W~*Is!E9$l)dH4u`~N74RzRIEblzo8mJh}dl} zzQhx4x)kbSHg*T$xB=!q}cp~k-uYYkYN|oGqkM$ZBmiM22z{iLBmG{mYt~o znRsuz$`m&(yh;e&kX*eo#`#b2kdI)uBLfCBsojFenHT|AbJ*5m{Pc$kk{5FF=;w9z zf_v%dzCPF^F{{R@#lsHyRRo9z1Iix6@tFzMv79NLznj2xl^1dNq59$d@{f}zO(vn= zKJr`f!n--;)uf9#a9Ee0iK%VmdSI2H7k2W|d6$9t6W_cD3b}Ad(uO49$P8@cK|tVS zcpsAWd3GW&0LYPZ`^+Hv`aoKs3t0r$qGRiA`!}$6dPap zt3B(m)AgcVMfPH8g0I_c)*IA#5&Zzk*FSz&AK^6_Vbz;nl_!lc>o9f4&AKJZqe=CL zcNKe>di1%?d8O~mk&LR~!`$eNgIP3+=w;DA$Rn^9NIZWqUmo;)Pkk%+Y{%bnv+s6G zQ`*AqUyXcx4bW#U2^~Ev#)q18=tuE z2s}cQbIXA3gR^YZ_|n)4yW*>QPrb3KoSR|6H(^Bs%(OE9EI~;!R?iE?AFq%8tbq)e-B58!sjE)ZNK7%EC0D;^t=mU?amI`yk=BJiKmp(0~MU^CG2K?607 z1fp-oK7mc;jxg|B8Fkay-`<%S>>u7Mp(}Nbp>BHEYruSXH^spH+0S)< zXP@S{Y2T9AG<%LGaBGABB+Q#uA(UYf)jwob{hNE(Yl>w*z%T~fD8>Z_;5SE2%O`7*-$nL*g`LB@_XcXsR7+fJXIX1H z!wv}J9uPP>d#6^&%=OOIew84no6!iqcsAEFv$WH{I=>yiwVqAbphb*A$CXIHOVo3I zs@XTdmZUh%(;hPuF;VX|N85Z96hWX2d*r|Ubl&Ha+;FzqfYMN~ciNSv%ls${WCN{eP-(?+R7G$)Aj~;CzT)-cG`($L zB(K3`)pIkyd9+Bno`{=HauqVQE+%>G1yelVs4mV+AoR7^?jW#JmTEB^zKq!CwG5L< z6LHg{mu+cy%%k_D{6b|ZY%^Q}_J^6cKF{rwfn2gZ0-+e+7Egk+rm6R(#3)M#pzOQM zM_j)pJX`=9#I&OCj$OWPsk$J&3xSICB2We@4$=}tK5^)>qsv+SDI%(FZ=&WW?ts%@ zLw#uzEeKw=COVNm7bSoPZTlNC5l&kB^2h3~}^ z`;x_GwoZPnY_}e#g@CXot9&)I^S{787re%a0hKfu9@t6hdTe}o5s5rsPjF*DZfeXV zbzRm#&}iL_n1{I3i9D=2iG<_#dEe3&s8$a-Z;#V1A9gjg_~sSJUo_?K8|d@keq6cF z_?J;e;ZiAL!c*&oYh5idM!vyb?H1QL%pqel5_v?DQGX`+s7bHl=~mSOgptR9#Dkv_ za)Q{Z9)RnO_yctZ(hI+vy#cw2DuhB&MvAQ5}};YzF(#ZTq@&A{;1$D59FO)T2g#K)XRDP^tF-(`(^7lf)_Vb z{y>r-SOHs0yrTa>xBw7#*sSuZuR_S1lfZ9MjG@9K195joBB(rmc+shNUaTITZ14U; zXpq?6S*gLzLF1QQzWe+MFM;$OIVZtj?FaUON6`!ywjV^0-QSZti|nyHK>a+R45U5a zLt0;=CBFrQG)htYX0Oew_Rb1yIhMU04hETJQDAt7F@62$UvypGcWvlSIhI=OYuomn z(>y627g~-}L}_8!*ftJyVKV#{Q7h*~M@^mAGRxd>hHBy#FL%KoPm`D(94izZut{D z+_jeP_K1qFt$yWSToSJz2tJ@C;>>CN#+F^U1{4R)yybJ2 zi>3iMDLj?&dcd0#Pm~ROf--H%b4@tuEPqw&a)=&1#h?n z7}s4QXPiN!HJL{|6Ke)(Li2k`Q1zodFuVXD9I!_4&4>H`GJI4~fI2BJjU8 z)=WzjH8#2N=*Fdw8sZT(U1!ekPR@&ZTSdyH(H&h}sWd!UAQEwy!<0~TR#03M3|W6f zaNOar5Fl+EI^}>BdbEq+GzZ$nLRRsK`!|gEW)>EhjgbxxQqY2WNKdlf{MDJpmPPtL zBp*TUUq-W+?C1u86$!51*3#8I{)K z80quQd#7F^S(VJtpv$F4*d}$cBO)?I1$zAB=>q=2mb-Ar{gJ0Ytdfd9A~|q<8)O;W z%7$D55W|~RLuWvbVEVDQ5CU=tfQ7QcWl--a>_b}5s2@54i(NEkJ_vI@Bm+HHPSTlK zOyB;?k5behPcys|2TQ1z?vlO{1%DUJa{s8k%Li3$79%$tz}M6Lz>pTWi6B91SlTON ze2C{O9eu^M=2Jige&$@25h#9vb}aihS3aZ7jo$K9F&@v``&_?-)=Y`#dAGbF*`j|p zL#od-{M+T`zSwzKUxZ+H9)tW>SZ>nZQN0z7e`hj%xB~#?9up)A?}@p^WmM_HMqjEL znj9XgRE2~pE>x<~_;asD>?h()3dWZ|k_}IN1IOwl|Lls`S2+8)NYnTiv>>s>)$kK%!XG0;BoL4n1kq^a zXxp-qB8f^Z*+Bq&yr-!C8#>UP19aD@5si2GdES<-w%r2f(nBn)O3FRbA$gNA6I(tg zE8 zrUNLmYarE14Ad85AWQTbLMUMrKB>D%2%~G$#u4SD(-E4_2m&T`AcaOJQ|fS zM~BM3Ma~^~OmuEG!$*@3?KYXpuaAyUg!A8NEz|TmMem-9y=(E1qkMgohkYfIg_+UTc-3ivl@Vv1vJMT&oP1bt2RLo5_VYY?xR8B z8ak+Oy}txAN)pg(do#d9AS;eJQ|fAZon;E>dBXaRFHAZ#(b`*bThkhcZrXy~fVM^Gd zk%ApO&t+w_QakOW-%cRb^I_rDU81q|Eli63P1C4MgCtw`>?K;3q&?{E&-h!aA`A@% zDM)3=DQ-}*-5ZGeCo$HgQ3{^4t-nzzB!3`v;k<<+>eDi>pBQ5xID}nLynDasrz(+| zdT`hpTc%~OO?WcxAX-E`O zHE);=MambM-bbK>ejd^*^v4Ei&yTk#jpe6R=qA}{-@Qqjqd7OXZ|H^|3T&i)N;P?aZ$= zHK9O`l~`*NnP3F&rvc^sBMk={iDp(A1`;@IZA9tYt)C3CTpmCl*-s0V8>#K|NHoJA zdh(i<)qogBC3W6<$ljs_&(REx_{<_#z{dg)+me8By~hVvH$Xd|G+64dDtPdwo@U>kX?ZMUb55O0Y{Z!|L z2#^)Qr4)WxIe%X85akTmGe$lw;a7SDCi#FU3Rtnwpg_P${l`<>$d%Y^*o_k+t;474 z#}{@c49egw+7f$oW+kD;OX(cRHp|!&83!yK5*hHu1p~n)DCpa*OzJ1y#to`aumpl) z=59`T_>iHgT|1BB-sU_>XT3QaKrZZCCnh*F;39N%Vi27mWJu%nqy4e8Begs3`D`)I zPerwe2uR_G6t!c&>4({(#d0dl1SslMKmdlYcS8|FYR=B>et3b%l>lHR3sHEE2RuOD zBval4h#V6gx#jhv6urk> z<&k=NwIaBio&0ZPY9yYhuhM)gW{NrEXz;ALh&{S!z_w|Ehs=wW?}x00>DYXI`B?}b zEFeEF?J0z=p60h`OgR=Lg9g>a(dDnZwM{Kppho{ZP%Re&eY$6Hq5l|laqC##7iP^2 z9+D{hD>)%u+!ApSDn2I!WfT>soupBY#WOm@RNFNuRivBKjmyYhS?-C)`%Ti(OT{#3OL%>OdosI`^Ocb8wEjm$&YPGA)KM*8yH8KEwnB=7YUsyz zQbnE`t2nOay$DYlt=)+Y1+o@gw^AszdAaV`%=wHXIftm*G@zAE%HQtRh})z7hoC>5 zm>LxX;2u7LMn0UWZ-eM4ux~2vm*^Hh@w2N<#T2Goc@{Q=-`Zv;3!}Y0o7vaDi4yaA zO3QRmpka1&{_q-MY1<%yC8a?(V9re*csN-~k-zo2>!;B72SSAp1U|oct$J-}!}a^k z{a6u}&D7cRqnVm1#5MVZQ&yH<4vhY>j5d3Gh5+N61c0Z8YAR(>u6Ov{R?%HXrjAJb zLbapwdBVtxBv@Dl?v18MQQhXhl+~_4P`XYLGp(BH_sI)>#WLG7sVS&vw7NlDbja*B-f9#oW<*b zGFz{6IPqxR=0q1ZJ+XRx^d9z>;L2o(Xzu(RVb-bd6k+EDV`+Gaz=}wV2soJ4?yxk0Q33{L6px(@PDk%+Q>d0Xb7jSKmTjSk7Au;}!)%N@16i}5p^?eJX@$&^~b zdICOZC6_>DWQHa8%aXO(0r&C4De zS1*&190s7-1WP~vHResqH4C)I*$zC-7>9oaw3MHG`Inj2ca?Sm#6F{!4Xf_b{iJ^W z6QhU9rN^Hg@{C8PvB>g3n3|9(+PYG^;QMB)i0hd$ieu_o-qUxbn~NQpTgPf}$*~7h zf(rq=5O(a+-5#@soZHY;o^R@esE&(BZYni)dSP&y7AQ^6L*RGmx!MoGmnDD+f#-+N z<27eE>aF@jJ|ob-BFOso-ziC@;JRMV;hint8uDLP51VY2Wlct2V$j8>4RH>%fB3P3 z%{9Yvuir(MMe0dXuegJOqwemCMY}Acb~=??rP!i`or5WH1RV`qI5>rF#RaxF*EV??786i@n-6=Vs&%vClC+b!dv^ogipidDRZ{L z>n%^5Y}yaqvewIKF?1<{_5$PV8P)RqiEK{&H?dbE-jTdTv$MGEwGcAr1TAzB%BS}MupXzhtdkH|q%kz{z{udbOb z^080SywO}ogYUows`hb$ylS)j10VK(1uQZAh3Rl`>dJ`cBXS*J5{y|cEepX(z~YC4_~(oc@X(< zoUbjA1(^+^hkpHr)f9-m&i?@sk;hT~NmkEA`*KkZ>;0$w}2?unldo}mmkFI2G~@l!mgh^KmS=Pb9`d2-TbK-yuNEB2UBD|O3t zpyCWiMfs_}7;mj;*~o5sXY#1f*E5srofzf8UC!$tTlrp(58YDbRier4lcn!jhKry% zQKprd=Dbk3UEIs~-@1e&r=J6H0W^E+TMcl5WiyybavmUS&v0>6O?JwSDg>g9?v=J} zf1LkVRZ=23Pv7+Ap2dupQ7o-3PTpnn>v)B>fwH}`n{mk&!vRX4RaxgNCK1IWD|V;I zxW*E!f&wC>!~@BZKPo45LF1ZQOZub9{Gqky^Q}Y;_Dj#7|J&+irVmGHm=UUO-9PVH zA$R>xqmkR{aos=tmI&T)CgO6ieOIQUo)P2u%Jl48gxrzHdOTGydG1qfY9a_*013QCCTKP~w>r9TFB~S8*>C9*z`gYNO+T z8D5G$v~pLFSQSh$OzB_$3;YB-%$ZfLEeo`CKC@L%E6m6V*@h=X-WNVCy7XN3v?y1i zL^B)Ns-JNqSVRMPSpTvlQ#oKc`b2QEkpOaeX3X(VEllAsQQUF}xriXR?IUTT+9yc9 zeVWiUU>O3wz5A^-VYvLxpWYC;s6^awUNVtz%DoTUC~h8;yQkFb46Sxlzot%|1a8t; zikss_(2i*&t5wiO=tZf+qh&Bg>P`7*uYd{iY6#>bl> zdh^;`W_c{TWWI=va_3n{*|%24Y&6VsfmIv+np~P>AKdZ|iGdBI(sm1eY7(BB z!{!5Nzl78A9mO)}u_5o!Zkin^J+% zex>Hvgf|9W^;Pz;Gd|Wo=qzEE9z*pM9zB=3J_K$!>%vUk=W!h`wnSNf%!tC3t`FpW zv#?fs80Xx{@H$;kDC$1_+&f0k7~P$TuHd0U5en4$u8^^R0r=L;F%zS2kypr4-mU&Zzx$UzWwzB z*F7|OlaSU;zGzm6P$jBN7op+VX1lSPaAvPp+> zsW01SmEP15$y^w&;AhZq!={C`JEVyyeK4W-nPV7!6d~j@+DWHY$e(FPH^i+Tn{2tG zhMYRZ{q|loMWOo?h{2XItboR3|NKcW)@W5>ptP1a{ru>XQ_k1TeGS49|I2|9o2eNk zljQ(e6|L+D?}u35P4NIPOK2l^pnS{VB~U*g3H(_iD>ujv*gvN^401FthxJi6q}nvA!71wzw5TMpg0bRs#d zRK$-O&1-Uf3dmj{(hyb3c2ug@iIBU5jHdy=0kB;QwJ*UtM^|a~?Uk{J^bu{~li@sv z_AcuOFG$y`3kJOxiC8*(`^KupocB`MYPo3$_}+XxOb)wGqQ_G`hsW&mz*n4PH#jzK zkF_m*==EVms)W3+K`AN4YJB72!0t!VX6_PycG}*T?PnVUBENwqEyd;}+%rQ>b8X3AYd{U{enV>5NC!@^$@TvnII6!{Ut|~dy>7|V13cR>rze{ztyDxFmkP@Gn(tr# zJ$GnSRgk$}>olOapmI-1U=f2w(qkm#wfj% zveSOiqujptm}(-dxP|Px!{qE(EPJ~8I^>T08P+?s{;8t#G*>$+H-#9IP}bxyZ4*@r ze$X%d@{PNO-S>5z8RCDs|MEn36~wCsxM^|E)rJH=NbrR-fYf%RlsLyMrpRxumb(}W z9^uJaKVcIVOs^V2SuoHX=+jlYE79^~xNoWrWqvBiLbl{D27LiXfljpojla3*zr9bz z`IjWV6b|SUr4+kNj};S2LX@obuvfeAd4gW}nfVb?oCj^?p@=&_U1-MG6u8fzmhBR;lVz-JMmpQ6)Ei^h zGaFoGh66VhQTz}^<`1sXqBSI_;~3QWUMMB1p9H(-Q)vD5v}HP}e=`zYvl6}Qa)c$$ zm{Lt3{q=^+JyZlOr|CN~9Ao5@#lPO;7GryVe=eSI5f;1Km<$lZ*V@1iOg?sVAo4V3 z60%Qz&}nDlo?-%|R=-3xm$}Ymd#FsF)nP#=ZupZiTa z6h}Fe2PK1-d6U`r_Ue^Hu#GKrVI+^AGeJCvz__o&`8q%B$H}<|EvOfTZ1%~(@C#*l zW9WghDml12$9Y{p!O$Dkzu4(1w~?eJNsRU0$#@#dYIlM=u&cz=R)$6^&+_leXE&)o zO)cK?;9Cmr0+FrRW6|T#M>Q!C3XT#MiawLm`c!t{?VmRlQ;wHXpJ`0%W+R~^FuQ>_5b~Vzm+C^ zL1Uwc`PGjqzHc*Xw6SH@4@KzW!<2Aw?PF{NlzU&!SafR~H_)PUY-cksBWjVdc!ci! zbgJh#dFIB8O>sX-){T-6#{c?_B<@a(Mc9Xi79SE12|MtKv}S6&d6Wt|LCa-4e|O4Q%sQL)mzgNh z$m2=2T}SDh?=?`buU_xaA9*Q3sx@NkDsk{#-a|B0XqV)5_kmn-8IlG(1;I zzXD7U+9RK&Hw+7Y0H&$U8$^05H)V3=;X2QB7{i7Km(U?UPPxycE@@_#;G;QNTell(N#- zb$?@1mxU=35dU+F97K-sP!bc$UM(AkT~0M}V&J;1CCMO&;PgGXF#=(?mqDV)NpzQi zk&pRvu(sOT0qZ!HwOtFGwe)2Tf#%+swyojh00jyjj@=nT)iV4L9WFntHyIj#Ecq?Y z$*J%AV~4g)+`Kum$n@r5@smkNBZ@H3S3E2Mmw)W)A^BM0N5aeNlRJpMXSEqBWKpYW9cY{km}ZC1~@)tPsc)r~lYJuiJuO)tRv_4uhf z-KtZCmJ&9~Km5;gxDfSV|IUL3npwY& zZ61i8Zv{CU@^zAFxV%qyLX&zL8XJ&rlIZ&>mznmZN{>zFScEih>8rwmw|c@zH{?IT z-w!4x(Rgby`dN@K-k39c=pSN-RFxhw+q`?Y9=roHjlB(2%& z%B}n|uk_jqU9h1|<{-3#M=L$M>-s@yEip<4s=T%QRuGe^*x26!5V-Kv;DN-{c@6p249t6DJZ9x4X+yQLNK4$`5375dP7bBy<;cd~tQ_uhXkeYA3AD0Zs$C-2bEwFZ4W)%Z6iA z5Xl1e$)eFg+vpr{^;xNqcU0rFcGeKnJ*=4RfTDEr{m|>H^G+rMa+|?q`q_e%duOT% z)n(5UtE%#CvUrKGW7g$5wJ#%sBS`&>@4W@xfuP``^iWAI zV6qzq5)VYGX%&;x%>sI@n+s}ZZ0mL4{W`a}@__}y8%R^;p0SJ&teemb38^WH3mB%( zedRU!xzssvu}Ogt3IK^TeG@FU#l~(QE-Cc3UZc?r&ipG5e_dqnLwl`%bk*6F6R+A* zaooAV6J*`Pqf|4I*wWGvw%RxcV=e!(#gi+{(gfdmO(0Dzce6%QpW^((lb57{+`!i4 z)GbmAHt58z8|+%BnX2&uuvI_pkpS}pp;DsH-CDOiE|~Q1%P_aT;bn1`ITWe>+y{Cd z_>dMCT}V-7fkk<9!{xCuVCfk#OI%ehg(Cvm4OaA7#mC}8P^o=o*#tf=qX>-pq4(~Z zn(Ka+*a~AZY)5|jNr7y2+2sB+Rsxj^a~iSHE!oL2pH#bQIJSIY>2Y;H^WamgHVd?O z0&|z+nk@++@J1T(MMF|5(p=c27q^4F(8G z&lvY^`sM}054j6g8Q5V9i?xS1;f1L^U3n3|F}l^bPTp8c#wo~QLn-zS3HlNud#4wvavoFxm=ITT`k*^Z8p<$V{1ms_#Qf2B*e{< z_#=7a64Jj``+MSH$8qwaJmTUhV)cbBF(Y-^?tjLf2zHkWGbc6oFIA|JR$U7L2#pf& zawzPi<(e49rTC2$(-qmSKhMAd&D0e<_x^2^U_SogFD$|*YOv-tntn6vI{OJjc$26^ z@h6Uoo`;FpMMg-HG0&Lh?dJh)#y=N*|n6CGCK8w-kliwnKp zOpKoU6w7x<=%eF7r(zrr|6xKHIsa{h@|OlJLg7sUjl`fUePXjSb1sb(9 zWJ{p*xzch5LE>C5?zZ1~How_<={8qzyd~ScyEJbh=wGb*q?hf+@m2CCxu{=5XU8VK zB)IZ!Pi}OIeLL@pM8I-hf{O9bZq`bH@^O_zs==M$pVJ8l9r@{b#n5$|u#@J|4x2)1 zq`x}A;sraRx_<5;Y5JJTLCN`Zd&2*srrz&2{)yGPdfh@s&^Km{T<+g&s(xe($az09 zb5m>tUr5C(<&QoVp7;={U+*zVA2eL4<9>ZgvW269hWfB-^%xk;b$F_);C6olj>@P0 z7`;E)Kx7P1rH0Z&j2d+X+Z#l$1QxR{nS|F?cZoT&Y?kWif{lo@%74WHgh@?TQz1md zw|;P0e7yfUir7f0#2fShRL(4W!bKdK@skHU1TQq87km9D(;@OHV2zbUhK0(W_VLna zQf$VFCJ@QD>&e<|)`y(F zdXMW4t7X@}=(qenXogqtmqr}T(rCFs=j1Aopx4Y{7(<4-c@lpcr|Fkpx z%i)MYZXQ7l3ECcxHcVqTQiD3R%!M!Z&yh(IzUviYA~_7bI!^y)21ZRhonDt5g6`_O z6m%ebPSWR1JX7`IqHbrw$5_zcLhF#EP>0(J7VV+6cqgpN_G)ISCbyH^W!e5}5tdt& zJqVlKEdEOGIE089T?=ft@M%d`Leha)#s}mFa8)xl7CJfz?#>@|kM>+}JVAa(`|zjO zoK<@;VbgnWzIv3TZSWm_!PLu9VkOU&g}>EXAD;H$i;<*W_@pfgUcEohwzLgHi%zie zZPGc)-msdiCVw74BSIC

    S=85#nlgP5p!VTg8Et3bJe$5+tb%k^-t|vg-gG-cS#?liGMGBY-!3$9+urMXQowF5gw!OuzPUp zZ~gz%Iy_n&k=tE4OdCVcaE&Z?n)BS?%LbfM zzP^L|*gfx%RFJnmgiHG>S|(naP_Vzu^=_9vMYcGK(RnMuMP>Gq#hG-y9&W}h%LWwa z30HzbY88l9;T>(kYXgmTl}QLRC^h7xBl&j;bQr!CrHwdP9is&{#l%|CcUIU+a78== z@?dUkMwmEfLrglvJjSwGBQ@qTC-bXy-6QdjA4yZKzxYmazv4W;Qvdxch?Zm6jEgaC zeb~iVY5=gjP!`iK&}BM|lHaGB3##fD`@_03RAab1 zU*b6+bGH`Xy6~@K&~w7N)+x;7Q|G#~SFll6a9s6061Dqwvv5_r`}~|{3W>FLwYdXhU$$b%@n)eIZp6m9v_z+PtJ1?JU4_y0LyKUrcKo_Wyl`5y(F$;t& zLV>}FPuyY?bO|smr6+Ha11uYiD(U!5TglJc&aBaM#j+0^auA$w&bh{oP%eh|-(x=* z4F-1OPE>1>KUCYiRf-qlR0w&^Zo6%D{^xWm;hDAj41GUw*M>64Vp?#C8ZBk#kxlW%Np4HwZ$&!9T zs0s)s#UN4guxTV(B9owVL}NstF^a>(!_1J(pnDKR?b-m@k|iQ5V8MiCRooehsHFSk zR2+SQ^da+)xz#ahZ|0qlaB240c69Qq`kCNL33u*z>k;)-!0dX`?9vK8$^(T+DI3bC+oz zDhd308M-u8eG!1Y?d|Pmt6u|H*CB|z|1Bcc_7N$xdz161(DEzD9^6Q(kW>izlXx>% zRhvJTbSV(Y3@ib=;^N)6GM6lG#zoy~0oR zPz~+S9)$g_>#3SxFXK;kKk-b}1<@f_gidXu9(0AS?ycIQcD(N((O7J0DuL?eRLP;) zcQ$GS9Td=Q)tE3YdlDV~NAktZ*+#8mvhw291gg`n#!a8O8Ia=zn{wba0{k6NNqz2r9h?UgR8=(A( zRD+gLe1cKsP?2YV^JUS8H0e|zRkkBlaOE`qTtl2{yj z3||8EBXTT+0f~tG=SLh4Yiv>Y%nRVp_BvJocBq*ocaflkcGhaX6@!b$0+twKlL?&ok%$DKieHybc_3v6?Y!m;vb^Xj zy3n4CeO(zu0;7tAS!n3J)X3&Q!jklIsDFxStBI}X-@+S- zOX&7zz5Uu*Tyj&+ZXK>xz2C>%Tp!=eWIYxovq@uk_~mcjYjKT+@cm&yQTc*^sN{Mk zPs+{PV@eurXA7`;9osh!f?5Fx*2mG9FaT&7qX=B;h{XIpImD|HKoa)8XvJUyLGYI>N?Z!*`TbV3TfI1)~mzOR2gV{?6KI zqb)Au$>}5Nf8ds;?Hn}$kyKUFV-%LeITX3dB&Yfn;$sm_&Izvlh5KQe5QNYuH33~U z`edx*`-h9#clJeh(`DwLpQfoLO;KRwZaeOfL4m@D&J-YxCE?ZpVJ2SvLm;u*m`S^; zPfo#g(R%rpLkvEPG(5ZV>(E9ZY)K-~hT<>CpUkL@)p#v7{g#XGnU|KTM4L%RuPm(= zZ-o7Ysf#?vqOUJoMuuszqnzZL?lzdHgqo0sDNh{sYtOLvF49z%JijwARs4g+5sf<% z=8xEz@ShJe?!N9u!8ZCz_K)^2KPs7?GcU=VukP;(_Y75(mq181!?^@h25k4cjd_z%Y0b{A{F@Ln~Pj+UU_%TfBW| zz?5}w%A3Jes?94q@4x;nY1$LCJ?!buROn`-&qda@*_pd{LbfVR;CA_Jlh;0f<&K&K zJx~0|6wlMQQAQayj2C-MOsM!ZsZd?1kHcoKuj>(!zI!o{ZT+MvqF1N&<9?)`AnLg? zK%1%+|0@k?iV#ox0^;)0nd>7nN18`B8ey8vqr|rw-l+REwof~Lx7dCvP`nh=I1yw_ z5m__);g=kPu4*qzVB@~c?|20u92{hY=|*ueUok%-sQ*FlIk98MM! zVMd}wZ|ka~vV7sVBxNPwjilvdnCn*_RN4Acv4{lEmF_ENtc)Z@$Kp7GdbNyTYEOs? z`PJNbtm_iXexnSa9E9->1ZEk`pRwWm;@MegHJq8Re!?JEx%YR4>8a3S`;k^_dtWCM zOyNS>@TwE@M`L>FSGm3sEd7XHhx00N?J43oE)M46Rz+uE4{Sfz9Z=I)FSuOwTG(~s zYESg0$nIntv4<$lHG_r^rvbYP!l)S=5X-d7wwk&92#_H5Z+p3CC#q+ZJ%+5XS(&Ft(F`_OLwb$pSst9k5 zNbxJ|2Z0`R0-b<|f!ck?$3>-SVfUkKT7nb+v$vHqUg;U$Ap*sgT**0R&fqv0K7exb z;mYPxbu?koA>!aC&Zt0>AGjoU35m#l}fYeDXP~FyS&~Cj0L;$kIP@oB0j2dJO z{%Bbj{rnB#Z6IhN$U+yyQ{_ti;vy)P3DX@*@V(>Fcp&n?csFy#Y7sa8svm2oVg-ks z7j@VH60KOFI`|Z+jZh8CJZEfVSy%#niW+K4ayFcV`BiGV1ZlqfTB?~kQTL-ZD{DOd>2wY;q1Z8oU zM!AC(iE{5%js*cgOH$_@9M0^O(WRXoRH;g(!||s_tLr}JW2l&UL@zwd)x}z9d*jT5 z-}EIHmd$_OEejrEJhUSb{w*TYley<2*4`=FZ*dyF1>}>P+z1UW5hRbZfS6zkj1b5O z&JrEMN-q0Rpb4p&U`+k+Kl=}_V1}jho2P5->n=w7w^FXPyTx0-&8W}1sW9QRLHNFqr#2Rm{xPr%-tDln~`+o_RCRQj+AFa`qC1Bt3uPyZ=_gbpg;$9<@} zBuNfgZ5cW=-@jhrRC>zzl8l%>)oqxZ{#eYSuX`(j7JcCF<<*CuYE9ASQ^R)kwtM%n z_m@2#c&%rHRq4k|+2|Rz#YYs2yQrZ--jhE_#N}iz11$nI7<)Z!{XzX<#h4bn~1qZ9;VFE9M z3{(yIPVb-QT$k~xz^}oEoSAHIZ|_h0iNol-*dH6kj-S*kD=T$AR;X>rXwkQc-~&4g z%-jW}*l`J$Wbqy{Y&hwIK@PVbnw5@3pFW21 zE%VtnOLOjW?`~C_r&1xl;%`k+V#2{@9=vpwm$}|G;}&jdxy0q##{l7nmfGd7yA$;c zr8$^OHJ-((j_t=|zmJo}w`<3BvLI`As=Xqd_&BiP@f$h0! zj;xrNOSlSsj{e`Vy(~T-;HDdUJo{vA=H3?7=fi_Ur#G#BAnaI`{+|2G`heq|y^t9x z5Pi%!Pl~@oN{hrs&tY#iy9KA11)YqzR=?k_;kqJ0v9SNO6N~=m)R$JT)u2C$dU8ez za>2?_5HK#O1khk&_1?6kt2P`QUIm6@w_gX3p`@z+FTmcTNX&wg&N#W0hx`6}CfCjn zMSV?Z7Fky%Wtig4w%HWt{epe~GBG)E>$h3S{I+Zsv?$wLvr#vB%{rT|HDb?tmi}Ch z1nuc6LP89^>2L3zgIuKId4Ol)yf&N`qz)pYup@MCJJ+BAP>ubRJfU4F?T~}_vu-e2 zH%FVwy9%!ohdax9TUbI5Ets~BH*V3zmq|T*LP zTu>5t*19Xg{f(%$Z|gG{PDBv%?Yy!*NyK4XW{UzvR;Zh})ilX(53YO2u;EyIb+Pp* zE);j9``Z1xaBtCXYin`wNFauq9#%@}g#ShXGA#6mpnZ;?b?P?P; z<+KCagg3(F{g>pYZwG!ALY0NSeS@rN#ybe4XNH}?XqRVf zMNz&#M|iULDf#NX8)~&YC#LAl?r1VsAUyZU8|lgKj=sbus7e;t$+IXYsLGu=5W^{5 z6F0p-fxrjAZ_N5A7*1E@8R#2v`X9QtOmAeFQ$6-1?^y7kvsrz^bj?$d(z>!P`cj38 z5VMYS!-KdJ`?|2nVjIEYW8H=UxT^qG*!MJ-8hQaKnrJQwr(Z)Fz)Rp$Efm+7rdQfs74oiUq-W%xQ!*0a(a4{ z^1TtsQeg+(_+d~08Ix%FlJ{3Ecj2Q12W&)!2utZ?VXi(FVOKc)={EVRr>NXtUMP-k z9M9C)sGb*mofKu|mY+W5xVAYdg#_jw9-f1IIm+bE9 z%%ym`VosORk|t@np=&%LEnav0L^R+UYDFG;@gBqCvjLnzoXjNBZ#WZfRW4?F$^VS! z%1)eAc4b`ZoF*LU@mE;7s1vl;cWLJLa@nRBajXm zWhPt=0%@A=%(&6*yc0O)V=%s8U5XpmMwH{AVHhXGxN);Ld_p26^Dgnow)*~MX`39! z5>KWiOhL3hAK%@60PV;q( z3VpiFu?3(tpLR65DC!4QQS5=KSlLWJ#T<+x+Za~4+E;U2&95NW4-O7WM83ACbrf|+qTw=2?asHuw?;2 z9fB|U0DuU!vrK;M3z^YnF*da5VX&#CnnSh8aCGOOjIDlOLlOXy>@X%0f_^KWwNvh9 zzRBlvH_wG5PJWfZ11b$RIJ^ae>)aR^|q#py*Ib(=Z8nkgsW7fNOSs2e-rzw z=j_y^tVj!6{G7s?&>~05)?=19U)r3Kg2?IYeg(?-KA^Y)Xvx?QBC4X@Jvveuaa=Lz z#-*Rp!-;~C5+SHgGeiN_@y8xlR@s}Z-BrvjiwfrmJ}y&{XsA#CdiYO;XBYT8l9xQ^WX^Q6T{r0_Mh5hpor*lb-6p| z@=GQHRb%mInV!IWb21NKQlqFXj<3dBZQ186og5#Jq|cjanu40t39qD?qh{;hxkS!< zj1eBI%XE~awx&29wm7Vb3yI;Jd8y5N`i{`TZ{%(A81ICEYoyT1TB$7tgt2H`-`6YF z?>HiWYAyj<$ClG3=npEkgJ{n=GfXtvdxI{y(z-3X|}sfsr2%^?ga8G&J)Z2<|+= zu@9Cx`I|O;)*s#b1yn$~3d}|8)|)ZjKNIGu>t?2`9CoZ`13ZmX;hw=C{f>0IrE^Sm zRfk4UOhb^B^s+O>s`nxe8=3jv&pQJRH@8kI%l7{kSSyoU4gK1-7s@K|=;|uzM*{U_ zRo)smx_pSCPuz>fWKfH8JeZ;}oGQzSyeY*%MFq1Velxat)p=CvKEsD}UdYPRMCvB= zpQ<9^;=68h?3s)E?&DQ>U*n3|R{7lRXFu?Np1{Mri>R^pMpLm0zDTo!n#jt2@&3yT zKc`ya?J$)SjZ*7B_3hcrX0_`3f6jh!*yA}6o$573$6kkMN>5ktf&0mYqohGnh=ZVr z{OBwmiMJP()t4uDm&S1L?n{Tq&QcS-`z!E9+~`smc3Q3SQWo9GmDgg&-QQo6L(~ke z>I4EoRz(lB8jixBH8J~^QP8Sh`QSl?yB?WIz&h6zjxKylymMjDc4u2# z#(J7*BKaV9ur14cz8lX*!t1l!Flo_$za>WV7pap(G)A&n4paqc&kQGSpmmP*KVPTMBe@q5`Y zzjF!AtfvGB${)DK)|I9?T^(^@#D*<(=sV zC6@2saM_q#P(9UVGLMgsnU^#$eXFcmN9yMt{{l`(r%=#&F*5JKP=j44?KZ^7BU(@I z4@|O!7X(cjfgb6R!da5f;Ly$mh1!J$T2iL4+RDjQysx5H_iK@)-_7bd^?pn3qt%U6 zj6w7H8+S1b*fRH7710#T`)KE!Gcul~za-8B%AAqgzBTlKp?9Se3u)}*3P6o z{0g(gD>6AsguM9N>PaB^WSTP(%N!>Cb{(`rfKv8`35RI&P9pZL=bh=KT-z*80xg_%rvsyAe>}evEW| zn3RmaN@N7bm%BS3Tz2X^)W^+j5m1HQk3|x$nWSw8x98ws^BVoW0N&b2Xu%vv1of_U zgBNe_y_aCgLREFI&Bu-e;xyT-Q$HzQwxH^_@$3{AS2%9@&m`QhK{>y*(0aOva#FT^sKtDE!sH? z`IR3k9KQi9cK-h+*N7mG54R1Ay-$vd8p~aGo-4Lsk!ahr{pvyC3A{YI)sd0C(v#Rw z(QQ`geNNCe4wkd`K3_X=Gf(kAe^@5!1^Q;fjNG;)Y~C^G>{yt$5U42sUFmB;3-L=j zgR&P0+JTBs{p-Ddr?ZX&(j%2M%{<6xAm*ZxRvbH+L_dLk;#UxaZs5INky*IssKa3) z7mc!fTz~&aS!Bra%C;eLyjEF0D2E{$DJngw*rS~DT8*Rp+m=M3(#1^xUi7H7eCU2qJbF)ZM_>qfRSbSJ;PJ|4|5gXO zsGILoIZcmUbhtis$cz1o&xbJyaZlOgkZ%s-D6=qLiC*%ICqZ#0Ft{CNLEvb>Cn z#RT@g7wYP!dp%Q9^^U{mXAJZ28hzXSmHP?F4Wq4lHJ*0#jV=klJj7In?!%%2f_&)J zo;J-Ir|R<-P&fLk4?mJzc9dK5kh$ntIVAi{k2g_agRH7v+R^*;s62WL+R;%h3XMZm zW09C*T@gqM31bq!J~S^aU16Jb2mDCAcKi2dovk8cl2twlhKEh(%3By5AeR`03h2S- zCV{H|^g@ZC5tG%cR8e8GqbDlQZ5Mg2d^v$DeXs3O zd+pxR9IOqiK_%Wgu+>}_Rn#$SxI91FA85xsIDbjhdGxL1v18Q8SvUgZtVQpzTN$9+ z^@X77hcqqU%oqYIS=9#P|M>7%i(JP&0f;}f6E+G}k=JF;fFD&+`1tM02A8|*+#glB z7Fsf~*4%-gXcon;^tWSv*!&w-HO|%Dr3+H8=3{yM*uZX-gf3d?R$+wkHMre~FQcpd zwZ^60k-?*zi8tPgI@O5K)H|_$h=aYOToNd+4|U#Sl(?(fov*(r6sIqwI?4E2X48fZ z)K&~JF=jiLJh>pGtR^T`@rrGzev@NpsY#cLih43Ge;$+HuOdFkr``TaG~YQm`3djk z$mJ(ov`{;SvJv25bu5-HHp_zuda`=l?##>9@;!_kCLO8N#X?{J? z45WlQz8&9y_%Vx^(zjqvs>IU!JM$H0M=M5UK881>jh|b6Er%;QUEeW^N36ogkRisK z{t^{$-FD{%s>=dB0*c021#ZLZs=6@`%QfnDD-Ja7v@|pvM0I|y*%o?IPjao>J-R%K z+b{S__X>44gO1D^dCRLs*!f5GT2l^e0w{Z#>Hcu7b@>6lfCqj!JtowlWJ|_3+NZTz z%uK(JMk~Gb_tj}kSGZ%#qEB(u#z}tRemz#1e;ibN%5DGM+$n~;e7F7g z_TDf`(y%cV&&=S!^gqZW=W5&+BlNaCw0o}{L|1?K(mS;{NTNl6>FRdoh_URex;AXV zpc~4*dpa)VBEM?$43XWYAf6Q-B~6!ZUeJyR8Oqx-i(?_F?kWQ=pfys1sC%j z%;K1G*-~bd=6_DXUWjs_TF$7#v0_L}rS1{Yjq2?Xwiz^M?)u~9@lzh4Ukz2w=P{k} zR2R)p^aq+%V5Y<*`sAc3NfA4C-ay}?iwg#ZQw_~!d}2B7Z~Y&tAoD|fkJ$R~+!9`W zK1Fyx@CJ*;yx6GRxDXA!<(AU>M!0ge2ouXg4~u=D(ZWtIolmUlZN#~@3WR4P9JLaV zBmf9|w9`W15n*_92{7_E@~O*%m1>^2aS$r z17i3o`1--5Xz#XEn%w-v+e$f)4Qi3^sHLWsm5M5SD6o`W{Vc(5cyC*xuGkiF99YB= z@B9Y6w2e+SabMobzK@b@xSVb;kbNNg{~b}(bZLyo$8_VjvJJ3IH-&={qKlRk zhRPIw8P4d%1BVz?@n@eHi;nm^-8+m-yc;4C3@oSjrL36urx#aIgbRg71?J-{d*(Nn zV6?G2>?Q2w$Th>tK$C{RqdOPP`tQ8nktF^@d$$zU6QsBgpB;Kw9$W|1kciA!)Pzkn z>z8Y;&a*nwR7`>nueY`5R^}@)HchO#1xNWxW0fj*Z*Jz2+-N&>Vm7D`Ox=wAQgwX| z;`c3;Fe0k@b@yfHBp<`@!r#~2N?;y(x@JBs>NbPq#r$6jT>?u06 z_G?~RUh*CD$7@U*N;@I6+>6ee@y5n=H8si97(Yj zT#Y+EaNjK(AvJh$j;b|vwVUQfj4d(Y^%1)1QZEi{rcg-92M|QlIzT}URlN74dgFZ1 z_mGmHc5qsJ#RK#*@h$_X!T-Yi3^YdUaM6Eu?ehDC=`_fnD`Y)d|Te>6#qrKy($P`efLZS3j z@K*6mhx8EOk?w9FaCmwbaA8-2PtyiiHuc`wx+po6 zS6(n$dE?V!&cmN;SFt~vulw6I`4DBWKj%{D!KJ{u@Mq{AUx8F6ug%{;l_&g94v3)K z;rt>Kzz>0Sth+T^rKRIzQ@%z55ms(J&5bzl0l--hpTn-k6^IVy1rAx-t{M~*caFsP zk7)LA0@3iYe!1yR!dRt!|7 ze|H5CxLR1fR)o1EDvRq#OXdjstC9CO=a(m^4Q?LHf7l*`7OL7J9JZip519Au@W&;S zAmn)nHmaibYmKNB%jG6kRt4uwHPm*;S+2hB$}lh!k=n{&U*K5W?9~wgSF~ z7S!p+EV1#saNNV)&98sAESB;hY6(6VTQ0C?nbPY#xEY94dlTo*)WU@9o6E=XeVuZh z;?G5zqIf>BFSi=(Y$iW4=`i2-3?K(6?Gj&>eW+9;yW>B2L#;u{>Pw z!nO9s`;Q^RD5|ioJOus?w*audPqz`t}L)S?8N&#C4dfv+Nj{-47ThOna)5=8Br{=chPgGAw}{A6#DQg zVU5!nki8g_OPkf2;h6^0uC+Mw@L8?xg>Fi%%DHQ^)zRW;sf&0q{Te;Ao`Zxcr@H;$ zd8aogF)Mn#&8%hF6%-3}R)=A)*23c~Y0DJr#(P}MO1b_ihz$}}Dk%?ao$eyg^AW0g z92~K1tm1(^*)0sqo&my*KYW4jNnFLewllSEfOSnX)^7yFGdL!It}cU0@>%DSBBx(0 zCf|XoV&k@lWsc(3@!QRq@(R|@r?2lz4@G4lDWr4A-&OO5VSaAS>qOCe(f`AVu1R~9 zCNHVAlCJ8nFC;6-`HC}M;Nhz(8geRyZF4zr4@^dVBUv`M|Kj72r`VBjp)H$_i^uJ8 zE3*3`J~u*U;U{$(G4beKwQsh!v1q-u^)A}M03^$!Xb)~R_$X2@ky`W{b6(Ag+6HH# zhkS7yZ)jL{Gn>zZ2lqG^OC*1k;2miyHL6KvX7BP5H!+;fJN>m6u9pfZWc{9=o~N-a zi=wgfy5z-b1H!aKRb$J=`^1oQR`1l^ondwJ=AC3wZdK7N0xrQHgVt*3h7z+c)&28^ z;gMT!As7DzP;`AvqmY6)u&S318dCvUs3SdzljseLL*U7-l*8}suZRpZ=e?9uX4aOH z7c0zakhcjsiuu7n|A97GpF#2c+XhtF4e?9Conn;YM=m9?q1}{A6B`GWUtTEPL^bot z`i8;j)rcuWtm?|CB^tcVqUr-f@wL~LtXZsm>%Iq6uEP&yJ}pzTHn{YZX6Iu}v%S5y z(1;n|4Rtcj5Z`g}wo~QzsitKr;>6FZqY#+-PzF&(qos#q3D^ZLdDhm2??_f1b=A~p z_>Gnrp!C(-Kz{<`lDX*W^1OL^GF81+@S9_ie>o>2ayp5}`;rV9o;xe=$?NYh$+8&d z^HMj3PH(`vk#-}swo#4s$+IDE&HSENq;_ z%x7a~`Aem$B<<0T(wk*G~|%rEjy^Qj9o44-$VoD7lt}nb8i46$TNQh zX!e&>1w|mC+!5R6j7AJEZ2CDkq(+R`rlCcitY%A1oggA3`DNTGbsaAnpAPy?x|xYy z6r%GLxqq|Szq^5v%x8&iR?TUQuW^=M(4tOkr|URIu%XuC2D?Lx2T$UxlFi;bi`bE; z=1~kW+@o_DeOBiyTb~ivyOIm=8e&nBA-DL#DU*meZxWs{oF5WtMAaDvjP*F zzC&E9%%Fj;E{nlyE(q%!>6L1x@qfomX(`4jwYtk zecQ6M^N}HD=rC0xA!8*zEWp*}gCdfuG~C5V&2jnPK@FcwPMHuv%srs_=8r`&XA%rI z1}Z5eG2-w04N?TDd>WHKY@fA;pm%5aTUhXLBe1UIH}F>H7m}gSY87x)$5b@eAm}r< zYdQYY?^ffm{!1RbqRW0|`W35N<-s;5PU7f`3h4G=hw-X4hxmZ<87r5;O-?&~-bJPY z)MSuVc0tb9h3`~P)(;)Iv3yH8w7WgEjC4we6O&!1X7(*-2Ioh>$eto0gEl83DIx3d zogbMavoG!gx{Vk^D$M&c&$-0;C)okXLeh6&n)C3%kj-_-CHSuR1Lx-710?i-M%BdM zW>g9W0#EF6?64G~`gd%)*;!{tnCe|yv3Ec9n6YSoZ~Le&5RZuI|LXLHbKSw~- zs|aU@K%dZ~M^7FSKBmnJ+tmABTL%?>P!;~9kkeMVenslDbI`q>8Y0s1kC&iT4rF^* z0omJSu`%}?#cvs)96kSwRo+CmTb^4>VddK^Wjr$7l=om4eMDp;8riAsO>7ERZ}0t? zWftUshYF@C36UyN*a%E2QnJhz5*$7V%p;zA^J>^^LcT+4QXVBVM7NrNO+A@LTp*bI z9VtafQmuk_)KS8%{-&(zJLktd%Vf{sE5nYA@&ikrtG<)9W|;=;{z!(I3aLbH`PAsr zpGWHb@kkZgS%a&vO58lJh6dj2_OHcdWQhNA^s3!T^T~7?oas}km>FSHjb(RGA8#V9 z&$1jWEmbg{WKp{}Vrv!J0V79T-{?yKo|feb4V@$3LRSYW2tKkiBmyp!Z3o^2a=b9i z{mu8s+Y3~bpDIj^r;heSviO})0=V2`CjZj*k;0i$Q>FZUjoyXD8hGRH=^o3<`3kdT zy>4=?GJ*O}IzL4xagmOEn47WBPJLjA{*2!AYjIzyy5SXatnB=f{r4erqw;YXw^=7$ zFeyK9DZ-fKo3^?Y4&+cb{Q?2ydO)+_24qgC{sOlv7v@*mYcYO1MK@rkJXeG}F~)mK zFp<5msl*vbTt1%+kGpe#h=bh@H5{xF@fH2M=mcC2AQtiDkLA2sP;L}=-L17Ax?89^R!R-=ykI$2A7b4`<(#TOC=&Y= z#%biY@axv=&?7&$1cDd>0TnTJar*}UDro(#G-V4$WKLYj?<8fN&Y~;7#SS z0S^U}u8>SGrB_|e_7{ioa4JF5Ej`MwzM#(~8O>#flRx67GZNREBlIj5>V7q+vOe@B z%^z1;-rj4OV;vexEwif51G!c}-KM?Q{x2kCbVY`<^2e94o${A*(2wvsd&oTLEt7b8 zj;=>a`V#ovr1`dz0}gdDqb&Hh*F{M3rY&Lb{fH<158+79T9_>noG4@JQ0I`RG^m0< z=gYUsBC4P7=Kh7Kb&83hJez^NAI&=xBbJ;)&)LKEjcK;jw1>R(S#97!xFh|+PT!X7 z8i$sc?z3$)fhdSS-brA-nsch3kRJ^}PM9yeTYEKkJ^8t!Op$}09)!UBUekRJ7cW`6?}Y9H^Fnc9pW z5*7T4^3Nozn)eUiVMLj=!p8O0)%2)~zh!ErQA{h&X(z=|pWb)9XW=oS(7($CN*ieP zW%9BeUR14&Q1`0}u~3nubrh5nFw%Y=F7=xJUnK?v`GfvN2}RoPd=V?V!HhyH~M1BPdoUyJ@*C|A9x_ zi!fPp&A_<@sz~d|pA>YDcx}DiJn4=F2hZpZRqt^^hNj!>|E3GE#ze-TfAHL2{-P@V zLze@MIfpr9GasuWx%D0Pgk%!csDOHriU{1@Z;QC?_aQcS?7Fc*BTEChHAs`q?a9>+ z)W@c|aYKQjt@mQiQDws#YfMoUx|4rr%1hQL%#7U5PmJ1}sFa=adGy(X`r^3D=7i37s)`o_HAhm^p5!y*mv5EH9WN%lT}}MX zl^$|U3tVeltvsQ=xUoEbUD0dG@$>8r zFlbrEtR&Fe^=vyOp)o;{e{FAvl(F(OK~?I-M?MgO(~28Ay)#^S;?D4fmf+vfl=l8P zbnNUxs3?iRr1$p+6Ww?@nvi`I;ge%}v1(BWcMeihHzfGv(6I6V{mw4`!%@>aJ@Uw@tqifT!&t&~rMz6x z%gfWByH_R^Rfiwe%dH8JO~^7Czxa8`-#jqf&Fu&Ge8ZSODfsOvdfA|m!Lk&mxN|)J zWF{aq@nuCRj%jN5D5p`^%4xLoOk3Ig*iquUbMF2r?xB~is}Q`?Tqa5Lu=bTJVNXof`;E!o|u?Hux!p&~ON$z72uW=vCNqd# z!4KW!NH+0=xbSH;*+h;h$G4wGwcMNL!@d>&2rsejm*(IXcyKaLw~u@;+uGI5#i%N~ zcrKtuT)G_78xl)iJ5_?~ex~f&dTXsJn2~wyli>B)O=+3{E%S&lsGFMMn^@iBDZSv8 z&znXX+cp!u9M^su+Osa&>DD`ScPH3+Ue>R;W;ksmXqzWIE<-Ov%^(U877)c9e2s zDG20PT-t6LpWn9PD;KapH*11g3Q776Q4IE~gm(m>5UoW@X)oO2KFtUCf51c=5rI0M zMZ~OUJ-AK5P1t#kn$DUZ!?UheTo|sn@g87-6^%<&Nx&^$O1S(#Of+USxsNO{;5S>T zTk+%Vl@!5WH{gkLMazNcz_!sR_0J~@HZ0K3mfzKN!|TM<`t!1;7BQFhI;RuK&nOtv zun3ZKIosE{!kXR+a(Up!o7d8Vt+93)m6;`^E*S#5J3IY($0cQj(LZP$%116hlCI7c z5M1vGxW`Rpn{H&euBqYxl@1MM{#B|v22*yxS<8@ z>dfXpC7L7AjL!v^hr`6$U5qx@^P6jPuM&@mFB9DGP$=@{KP9WX=Ym9m7bOb@bO&Xk z2d7H%9jr*-m!&Lab$X)6OX2Fu`+Y^~#H;6EW)OR!$HNAJUc(g-LI71Aywk2K;9gN~ zezXmD4}$9t{1=v>kN2~XW)QE_n^bjTFOW28U&zZ&D2MSag;eR57V4Jp`vd0#yTbY} z+DOF|>2G1mdV9(y$toz>`?Kilkovdk(`=im3&J_W*6;w8C+Y(_1T{0~`4Q;Qs^VYK zPXcTRV6jT*)b8tySeCQ4$mNy@&wO;_g#_(S&ZWKe*#~}{s{X@+9W|#*yGh+-2Z9Dv zW`P@gc#`eAg2D-;`CfuHrhZ-v0_D^B4({(}eo5x#>6UJOyw|E)UG}~`;pVJH)`-5} z3$Dhg#i)k9X=-;7k>*G>CL6+}K@fW}j~G@y62l`2LT@Vi49Fo3hkjCo$k2{Z(CBpe zc@WCSAKtlOK3T(AzU3Mx1~ymKf9OkJKnWrI(b17BC5T^=S?@?XnEdv}5FKKoob#cW zLYqY}F;P(8t&(~?EPT7^_dCpJDW4-%@^5q=j+u>%tVPaMxS#iofVp?r%dfg_(#3vB zaz~w_3pGQSJeX*`ZgM`R9nm-9{yZr zO)=|-&`b6iEUp~8g;c1P8x&qK0QXIMi*5qPzC+uU{k90r!w7NIsas42K!Lv6#tpz}rBP}<XD^5RNo3TtCEag%ywsIYt=my z^-jtB+dJSP6@9v*1|E3x>3ceZNcz%Zy67OIDRbfn4ciqn|LdH$n_8W>RnWgA_Mc5N z$MO2rJ=C~kG7VSfFM8qkh1l2(%MQIf9&LNNc9)Be!2Vlo$mHv;=%>_Svf&1Ab=?&lVH;A94D#I1_PdbG?@hMnt|b zEh%D;)EpM)IT8#6wH(7eU0Qw&7>1a)yPS*E1-@2O*i2E92mohky5Rup(7_r`8IobR|I4KIf8Sk;sWr|_4k-wb2klZ?O^(rF7)}648#|k3-ji*Bz2reuL>Stbv zi@9cHa^t+d8Tcr_J@+*jTV>{bv?6Ka1AhL1*@^Id+A>q`5-^GssqInU|ABMByg>Vn z&MNA8k0hLA-brukW>&>yCY39`&1Kn4!37Qw-gK!u6dk=8`TL6T} z#L}Wekzv&4jk(w^jBXAyHjvz87T$>VosmdreuqTak`=K$E$_do)z!!;*=8u|IkQA6 z5*1(xrXZiABhq%mKoMpy{c8*tr7Gr^(z@52)F!Vq%|49_8H^}# zW8?VdBuB&nn-fZF4jkg(FSLDovmfV3|L9QeF!Pf24&6r02K$sE^e(36IA1(VW%SXmX^>A0w*$w{q#^=X;>_J-V=~L$IpBA+< zd?lnM2T~$2B&B1Nbcmp%$LN8?MtA-0^!t1MfxD;9z0bYpp8A|KY+To|-&WnEmJx8y zSZWhT5#Ew{&CBOm9;?J9h_&n=SM#v$^myX*Ymdo0w@Fy0C3oGw$MPN`?AX{B9qr|B zMcRuC1UH7rOW;eDOY_SzoA$U^B(r^rkJ)#&t5i&-ndFW+`IiDr$(Wi9VtRomiPP}u z6h1{tq@l=_w%|@y+x2xTzX|{PGtOO4^cDhH2>bfSE(h^y;^O52u|bLUz$@}m;62f& zw?v5h{LR3(*qY+mPBcv7{LIec?a!2mAop%6iu0l?1nuz3wl(`q# z{+Zv!w!&pbwPQY@;?sg#%e5dS2Z{NMLeGzCD;?ekzTgsZpLyYW^Q-*LN%3))#Genc z{ruX^zdN7%`v>n$@L|6YSpO;)op__A-*dgwr07ti3ZKrnZzz3G-A$jFDe>s1I{ZPs zMNSLTNv(y43sWG5vPt908hNv0P0X9KC#imuBhDw-vUOa|O`n&4NP9pjM4%VSym}l4^L?qwQ1^qB3kd9-*%A&&OeU&}zX)@Y?Uq9G0_D0!Reh`hW3$+U9!q4pISrDuOm;EJ<$)8gc9_)cSLlORK@mcPM7kehk>X?tVz{@dI2_-UJ( zG6~P%-xVu#5&^fnyt^LMwk)ZMJbQBFn6cGr?eq(6+WQ0NrIvZEnsnclI{_~UB39W6 zdmaRCQ&H=JFrJ*w$%?=Si8Ys+7uiTUIE1EygEieKh{ckD)h#|7#8 zl;)??R(zBIkN%ojP@&M4?)dn>JSl@tntNy?_!-Pi;_pt`@OzK_kd(eq`d2f`QZtDm znNPF||8Y$rJ{}j~yu8E-a7pBaG0lFGO7j=rSpRNrX3o_H&S0?BMD(r#6gy$&uV!Z^ za(>Iy8ys^=BwQ4#n+Nh0TNp-4mOT6MtL+46ZFWLef<#_IbG40*h#)3kUOrWeBP_|x z%^3QFsP?$PAqn!D$0QUbCNCXmIb2tiS>X9v6={m&ooG=1(F|%0t_4TVmy!RdKy=k_ z!o6RAi|$@DbYk8oAZ9>!HU+b5&%q$S1orn-u+5rz4y@KJeFF0%h(o7r@(uBe=W7QY z_t2PP?v>b|E?#Gi>Vv*UmTx@fq<@jI|1=8IE6aY|=f=qwT)(eT-)7>88}oN3K0C`o z@xf&LasS)ef0ydDTiSE|mqk#M!_I9Xn+1D%60=hJSfISmvU<7=E707nDXeRRi<)5x zYx5f7F+nzRun?(((IKV}S0?cJO}Vx5ulQp2kzY>hR!3a&&W_Nk-3;g39y!t53^lRz z)`1(PNW(F^9_TpsL`$R-TY34fefm?m0a*v_Ut6gm#ol;k>9RO@I4)10sXIM-_Avkc zBHiZZwdP*zUsf~yra=)Ge=YJ$w}TTySbXLk6r)av6+?+hFgk^Mvgz1#uc0-0J)=!@ zFl8}3o!#whdpDvfpg!|ze+%o>nKxV5U)d~|+q=~9uVoYm8B*NK%(p{)-*aqkDhZPY zBhTO5%*PEC9{9N$5BJ`V6OrUx6n&e7%H}&Fd?paLi6S<9YQK`JC`Z9hW41C6!^kDkH^GqdH8I%O~S1PGoY-=xKmZ&BfzUhmwto zl9{oJe5~Dp=sd%pempP;TfKA`bLhc$R+u70{Wg*ZyhrlY*i%Qew)auvNg5?#&>5w4 zl=>aZaeM5iqrXa&a7hsj%p?4_-w-x=p&WX0$fo0#G}`h8FG?y#|nX@bjh%@C?nr>j7EuX7V$c>C*)Strwy)2-uV9)t}-9)1;;S z28`UXwGDf}Ax}uUZ}8uyWdotVE1~~_+k@y7j$KXrOv;hL;jszX^g0fY8?d$bCw5^~sa|H|)m8#@|I{ERU+lfa}`yq3>}*eDsf`XKtOI zCQTYmZRnxgpG?}XLmLHgyI8{dCy-+x|Dq%R{^7w!7N|W72B`{Xe`SlWc638`8Vt;P zL%SGW(*fgaAT_4?dx|B=o)GaOUj5ovItFY3|kVPJ`;s;Ht79Rpotvwz!_2 z|By}OK52TucysPQngRPRUN;?ZpW;)hqIx<^^Ls?ec0R|Y6lkd>x1jxRi)DMZbipNo zWUBrkzPoDO6TjasFpd)4Xp=d2hn01r0=_Q}g;G{Rw}voK<_UE;l9la|rrWI0ct^`t zbSD0Nzhu-EO0k0Z3rGD%Ndq|~XM93-4jbDuxQu177x(FcbOYAu(Uz?D|G4?h`Pcg^ zE$T)55dLBZkl}8Yg?g>WPRmZ|J8pTX1*z^d#v4lsMz4CE%U$!zi{}asLsyLMNbMQT zGd%d3XRc|w%?z89*gGUE9i-o%*M(G z?f}rh2!>CyC02>`_VTr5)j9UU^#i$TIbZy!XX9I_2E}CJyZY0)7klK%jX|M*16ALn zJuZ4~KB%Y=AR{uPnRdJsbd5_dfz=6idS2TWxSr^DGgl=MbgLk5KH6x2NpzcY z?L^_aSe?D0xleL7J!1PCBRaD6Wm2JQ$>}E(YtvE_b`A%1;qjFlqe~<($F6);y~b+% zitYj2H>sbhzPVbgAen+LOlewC)Av#6(p}NBrCLrwY$pqwieLKw_kVnkqL+MGW-Cjo z7%bzUnF~+1VmpzU*3#wl2r%XH=`~kp1D8<7MXbcbv$6i`Q$QX> z`3B{_G4HGYP&c|FIFag>8hqdp+Uq-gI5h_^f1OsDkEKC(SB{R7y0M?QbBje$IgxD1 zR#?vLk}`70y&x_Yv+6GmDi0{D{x3|l3Qz;gR=J~h*)F0l{KRkG2Ti{LDprZ&gnx=> z*4de+24ua~jSQs~SiqT?DjlvY>+5=|c|`tqf^MywRGQ8-&HRu?`mIgp~thIkIg(Ucl~R#hD6te(e+Gks@_EyCQqf@s0h4`o~xS}^;|uMoz64L_1| zqDw!IUr8`5Zf7f9A#fLiBRl;OkOH4FajaK)PV_DBnxx7bk3sgn@<2WF17HS6ZaiJi{RjYE;xb>P1 z=;gSLe5%ZzD3?r)r10`rcE8?nZHS9)T&-!Mi;Y+zUs@l}%y&Pr{C%}nNgaLx`Ueh1 z2SZO4dVveK`r!R%pk06$O-60-&;N214exg$tdH4bR9xWBu+NU31MMu$hE=Q$Ow;Hb zb1oI|qH9aW*z1hbr5qKg$*Pyqg;Q%_qgqRjO8HPb@3?2K2>P4;+y&^-sSVLQY}ueL zMPi~(%ga9A)I%1h&bD_Y{XDd6(&O)sGEiSF20g{Nk}J(h)u3b2MZQ?)?xKMwsp)q{ z7G9&BVm6wS4rd+yY$A|P5p9l;i|EsuX4d2CB|==Uwb>V!vK_MZP=`t0O;XsXjvJWp z_s})h44B9PTxCU_-~91^sLq)FTpk)a3z-wK9mltOATSf@^h<`}g1xlaIDppRG|kkk zH3X-LoTIoI0+BUc#XwlK_z1*nc}SGeH~TV3#X)~Uzn7XEr86!!zq5SPQSVoGw36@e z=`EB)t|arBn@!fZiI`CZrcD%HZ0IV|J8j+J^V)I7)KFT+{fAG_AD;olx!}1;1fI_9`lg|GpMmQhq|F*V*zK?vvwzeUu>_t62S}(bY{~viP(_na3J1F ziW>@pU%tgB~e9L}*P_>YeDWjY-!JHr-t>{oqRMZ-Zp0vSY+GEJx_?L{4A!i^kA zSf|d73Vh9qw`A0NT;x^t_-5b;|Axx=#|(Eig@5=EC{wPj8cvkajZ{~dO$Aauq^h`t}1rm%xCoDOe{nB?r{-rB#k!qWaB0Gg+?$K_wIZNNHZFLp#%r%dH`rv8syC zp$u|TzL<6RkR92pDc8f5?Jw*;)qL)B+-ASBk17|8>H?ShidGbz_=eXmq5F-L7G8IW zQds(`5@!8T$CK+{v8|ve<|tvU%lZ49||Kz3iWP;4_;&f7JXt> z4aQ`>zHb)07SoR&n~YoOO!#NqRha3Uk1^o$X#eT+lam?lanoUFaAIdo+Izmhs8uL6 zk^-5Ce|~E)p`%#!`v+!FcpdOxGG-nZYg0&Hrtc}PwRMcT9wR;vZqffYEz7Vd0C66M;#_Ib39_QA@m(^n-Sab zW2e64DlBNUQfY8w!bdi%E0MN9MTU6r>i#g?Stc3^>EFJ0pLHor@pO=!zv@LF`+Oz2 zpY!AY49)wz*ePUb5w#1-)r1+K44aJfZRmn~XHi-xAs_Uz#U8(rl=R{B3$PUbQ2P;@ zkg+%5UJv(34YJ6%g|PI|o}A#|{huu8_oSqz|DvPznG4|u{<1J1-TW(dn@XV3a6MXj zeLy}ayN(C83&PtR&Xx8%k5LVM$FPHqtqsRi%%wQl7}9jd`TqL}(A&_P5G*hV)re$x z_vUj$nsj4K^%m){)Zs@CAGzCm#Z}nZxz$3wjP%c6I29r(l3t>CQ z%kdc$`%8_?fKSx5`&;#$W=mXM)Jwl&*B^(MI9ie3lH(Z1njr0#O+QFW2>tkU=J}Z^8Agf} zy!rn5`QZKz*v{7)S}L=@%g-=eKt~Nu@rXk>qCGz=rYOK@Tkr<_%lqy}Qcc|y*&Fa` z&ow5hfGNxF+_MU%l#T>uO^?$V&W);%?-DM@|J0Lh>&M-k{#={->P|FDZik5cW0meR@$m# z(jabkEHY~n{*G%=_dumV!2M4Ei+-hWT(9cA>(X_?2F zdO?jrOa#0K0sfa)z9f@$|1xAZm-zuiZFN-LPyb>J2|8e=24b*_B&@#KT>Uy=KIgIY zPD>~g{Sd-w^oRwG`IV^X4e=4n*wzyJ=MyXKD@f3*JlYXYYMj@-5!Ik@qWq4KkgBnFfDEl3sdObIe-e z;Q3RO?o9oQ{QlMbz5@-D>j^bsG?}CmcQbw~ldC^+ZfM<_L8vDt{GlJxWN+xLLf>EWKSfn$NS4l`>-DD*~c5kosq?29g*cWbZL8p11Yoqk>+QCI!vNbq)32OT4nI7Vh5 z)jWn#1b$Yvm{Nm((qHEpEpU66FhRS6!*6= z>jUo>R~q2mujcaQ=iYFz2*_(t93D1sB3JZ^9eL9!+b|g(4bFbCMxhhUD=gAmf2~yz ziRzCp&3T)3mw=IqezTMlz@5uKHkOPy$&+GG@@aYmY3Ytu!7qJ**2j;AnQDJ6y{tNd zg}Vi}ChN&PbUC2&-FwXhF*4})MgCg`1mgxRGU8c`&^P|-sO2U*kCR@ntvaN{voGgY z@ik)|N(p5}{ZF>T@A^MGftP&Q7Cg1J9rT70tBsb;NfDo3_@dcGYJ@5vL3D(P;aP&m2MYZ$I_Bxo6y z-+|j!mcaa83B51IJaOXfos`)SH3H)f{Y)#9BHwScq-KrWl4>?Ss5o`Ao3lrk5V{2D zQY%Jxh#OW-=se->jVw$S8>k6KIa`LP@mp7EOpKx+X{+R~ra2rQ&#YgVIp zczBOPnm}i6(MaQVRwA#rD{$(dX#i$%72q3^eDMZ9J&D643Dvjr`E9=KRlGd}-vRxT zg6MbuRl4opw}@Mxcq&N4z$buQ@4fTU?}%ZQyZPk2?#1+WcMB)8+)wFfHOWE*cfLix zORuuUs8dbWf}sqQ;brsJR34^i)Xnf*5jKz7Ebo-3&4I>{)>EnT9kheSPi*a?vQ? zv6PXl_3P9he*3BEMFMV;0XqlaB#t=MF^T(-O#@ZLvcbWW1M!f9H9~l+Cx3*HIPu!; z!d=~)oAqznYE6y@0_5vlQW~S)U8zaGr8TctUgASX0ind<|5XWsFs>An0xJp9zcAMP zBfNl`+#65x6IVP|H`2mpd9=>q#1^}rZ&>S`(^72fF(>~se)ZH{qQDtL=>`nGX;8@m zl~LaGCyU$EHOddxYEpcEbj9og6$2b~I@4|2Sw3+@kmI4tln{FBi8P1Wk|8u_AK|R& z{*dGq*n(D*t8LUZ0%y&RSPso33Nom1qar9px{JD1^6h*1JV(K(5*|~>3zIGm>{!R` zB#zTNau2_AF0mANJ+Oag+o+wn<1RP3z8hcieQ&5NH$?nI)Nj79?Mr=3mqJ;FVFjkk zrFp7^F5?>M=N*~3?_ND%c)(GmU!;p|iJKYiy1ViGQftp{ExLvF%}vvv4Sy&4ovc zS`?e8EXp_SQjTm}1NcMF+CWW_+ba{zhTB2~T9>q+Gn(?mC$Kf$9%T?62-DK3O?blY z2)jFL>Dif6?we+I_h{kXIl}3_5tQa=XIhNct$hSbov1w|< zM7FaVZS(z*E51jf%R3*17{{uzVldrwfkhjov27r?EIzKPH@>E=;ExfyM6k%szktHIjdMj2T*7%Yk# zK#KX?zjE0Ra6t#Y>2rcmSuB`&pty9J=H7E?pQU1756!8CO({*J1yoV=mb`GtajBn& zWj6Xdn?%?9*~X`A^ZxK!TI#HSsiFx}!IU7Q2(&;T7Th+rPd`S;8WO}n=CNX1zx9lI zd!Mf9azb0b99n-xx7M}cZr@jP^X^C4618>yR?##04YDI!mKc z9%@D4Z-M845TpJY@4VbEY>%nG9p{<=lA;DT)gb&i7~IJyW~zi4yvv!I+fh|(fkNWN zdG4{D6XRt_<#>xC6GR)(7~6${FZb(_KPsJmvP@Zz1-MH;szW0|PS)c3v zSa@20y0co+DjwRkAJbat!(TF2SqDGB_ia7m=L>z5*~q-Er4z63VJ=v)f^UorpKnZu znM(Z6`Y~OYo6QBn`@DZcWFLwD2e5kd?mo>o18ajwfQrdazn6$`aP!*Cz9N0N%`Zy} zt@)rnK^;T~6y05{I6y32ZK6l|lHoAr<(y8akXz8+(x-3y0pk3pcr;I{b1HSyyrjOR zTUADyb%Q9Z{<%6_b+|&piUC+g2uC}Yy(xf8$r=)-Lvi8mj&zA#n4F#f*y>Y;t;198Y^DYLxph2U$CSHRr1F;1QRpy^SU z_q6&(@y>2#f~skPC}Y3l(PIV=!rMU!wcC#!y7K|n&0Tm7 zG+RIW)9wH`eqm-2p+HpB64<{%#pbN?eR$jrc78}*r!bYu_ZQ8VX49rB!S(lEqmAO9 zhc_GLTO{HdsZ|qi;*5dUVJzR_cZ%_&J`E>Klz|*bI;kqA4HB~~3t}D~F>0bU8Kc4S z?fqBR)i^rKA0~f3$q1MeI6ff_$b^8tDm`9F1YzI%0)m-0*=tuZ*&%gx5? z!2AE9E2zs>c!)4LUBTkxe@q2w9Ix>yEd&gNKQcnN4kfbbM20uzW~WQ`zAdf@5(!H3 z2itqMKjRz+x3`{5`K!!kGw42GQqE?|MUH3&M))Zk2{Os~rJ_tx@Rt{v0jah19U-Y0 zu$mD_Y093GO1=ubKzc_E(U#NmP@|UhkC}(qZK&bmv2(+*6L+J64!I9I#xJf13pjJiYrgz@iM(MBfqHerSMZ6+0vO;PoKa zFYA`h>+{?vE3QZcTBXI_YJC*bvUTZ~V`u*_o!{HnCm3`#|JCp#3|L*>C~Nij*Upsz zRfsGs(25o8@&FmX?d$lk0DFSsW9`=u|KlIhak7%S=4B8VRV*P_EpWzC(~ao>0(QS=6%8Oi`*`lu_nI!Yo-&8=2$p7!jJQ}y^F=;;4Vz=29WOzm`vlmt zKWMTxhSEIM?}Y-3agVh6)Nkz4b7_XlYEjRpUplWnz~Do0j%Qb65_-PLs}>sX^aV`& zuI?WD9Y{7+pSl>fT&U~xHL)|DZ}5y{`wp#yExe8{Gv0cbbY=W!+OK%1iA952Pr24@ zxN9>ac<00V^(QJNe0s1zDW6vxmJ!N7ELV9jBP4+rzF5g*serfLq;c3CotqJ3Jzh|P zOBf`+aIJOv?tO17$w|2DGRWctDhVTWzl3$aBhhV_&*0%!B$!wY3R^f~;`6PRJ(nNv zu`Bu(h(5YUe8Zm1t2!(^ojjfPrPtYd?&axa*V!K!k+^JCdHMfBOKT_O|H}`oyE|*M zO+{>Q#%PPr&Q|7gb3MSWL}Zr)cPUGe@lp<3T6NV@_U`XCrQXTgZNJw%Z+Qi}f)al)&!?VX(0L@q1(et+?;|A`7G z^}FaWI?nNRX;Ww_Q{LgFKHi-MBo!Y;W|v4#+ki*CN9gKnnEdrKbXTM*BTTgri_FoR z5It+~U-Q$fPqKI;*BkGR_*H%>K;JW+^_Ip2tVJRz?vM)MHQW7yo1nY(!Ns!LRChoxK~EDggmXFfk&Q&Xw+>M}#8jEwxSqTI$&=MY@6A z!3-E{)-Y?g!%z0mL5DnZ^4JzPr>ANfKHQr7>|G)ra`ZCgjeZbAOYR&SI<$${&d}w} z_@3gdz$Ok;NxlDST0;9;<3h&FRA1`~JT#GyzB&8OU7WD1*X5~@_6N@2-7F-Ck@mV@ zSe=xdY$_E%W72n5xXo*}y%}CDBpbUq$gTPPe;l^yWF~uxzcViQY4LQm1wb zhqaAB3CRtb7Z*|i@0FGW-8^Ao?%CMdr{fN18vv1PW6dcrp>TNTqNfEp82DCW2~lLP zeS2mepN7&=GIErXDp<#^kzi#X=!GjOES?S|Gxhdc3hsLu{eItcSHmL7aI67jFDX`@ z7_|}IT5r0!zdIGq;l>;NB>5E$tgQ7Gl5~5E9VsEtSL@}IR%$2|JypiqKNitm&i_wu zf^iZHR>+73?ZC!#)KeDjg1ou>;yk?L4Sa4b&-Ltll0h8I5uH4() zD@=tlOmGm+x&lYD?zo#yN&S=?Sw)dNo8J1`bt+he!on2RwAieD)4OGgHO89mt_v(0 zOUl0uYgU_4@#%=Mp}2a-;O9=XlQ>h}R-h)ux|itM@!Z?2O@NYSElXTUn7BXb^se5M#a}X_>P{ zEq`+C+BE!DN zp$kfxco6O2W@jdBwx(C^aPmpo#bUK1g!S!WNzZl4gA)wv1OKDI3kehNW4&z}&pHi< zpr3JM$+i4t{jy4HzV{Maz8zUX&+bHrrJAUoHRRQh3t`Xku6Ofc;9UZ&eMu~Ad zk+MWZi_jxl`M+p=5!6`|liG(4hICxLzoqsPR-5E7Q_|9&D1-iC++7X8q89xd#i%iS z+ac-hLkVNSt+9pITe|n(8ihK4FE{SWJoou%gYZ5fU9V7%QIPIVNKbiGyRTz$)F1dL z86Y+5(*oWs_X~_;+gB9sxqrs}M}phZO3Bt?7({|UIqvYR>_%~Df=iTfsVkTN(+Y>! ztY!fgbT@3igjAugZR@Vq!w(|HWwv?P70LRWE&Uo_0%Y4n8Ok}KPWM;Vp7+~4wb9=Z zhX(qT$rv}Q_#KKOWWZ7f8Tl9`_OMr6Cwf0UaEE*%tF|;mAvdK8&`s53Rz@-INr&nP&mqFL7A z7}HjbD-cm?E_Q_o&FsH{Vn zi=6H(K^o*?f#V7X8Jsnpsv6jSpsT*8kN`m{F(l<@ zZqh9pPiA1K?|S+NLf_*o#$tICm9*5jn0Wb*o&k}wl~RaRSJ>Q`kpU%RfRbJw)ghn} z`}EOuuyNfia(T2iT+)CvC~@I`DzGO&;UUI2YneW*)|V|&=CFo1yS{l9$K32adO+TH z1JcTqC_@Ax;rw5mYLu1DH_nZryJ-=!uvdWi@xtfYP`aPy$kWMs?K7bN&A#(2J5@is zW|owCaTxO@))VsHEzSHnIR^HXnJ9=c*5U1-D^c)MZ;+(v!<-{aVdGHVco!$}-%x@l zI^G|cKpbuY!9VV$qcU>hehlb`9G;nGY+bGH^mzOqZEnal1`bH#UAHIo>#0$6$;LN8 zwD*}jb!YY$ZxUj^WYSqUXOkLkV`Gr%3M3_R`z|-}-%{v zF9579Z8gg7vyW2nPcdb)HFc3o*7jol=}#nanC|h9;%q|TddRgoP*=Tm6tmw46bf$_ zySr`3H0}D%Z-jFoO5w!mbUBZD+0y(4XtmyZZabAN{m~=|P=EN|GU^VIKj*WKBvLO)0fJ2|A2ob=k%ft_dtJU(_+f@9a>(#fty}n0xC1I%#6*> zV8(}|HKUL*XU~oMOtj;Uunbm~s>WkJINp054qVBymHRl{H2KKf7>uAIz{e{VV&Aa>S# zQt!u&Ug%HE#X2rciNAxwM)B9h&QH*4>;A`U8}{OxxGHR1L21^QnLMe|Xi2rowEdNp zle5u|%LZJg<`O6C*c%?l2QX3Qu@CZg4z+j0Im94WBS7rO1qm<=1GtC{A#Alqor(Uee;rk^wqnObvVl;zA zm@rgT){^t@*>ESe#D>F_nt{!ki)qgLq+#U!%A(zaaqshj|DmwO2yazuu=;TYd;|&o zX*s%%gy!O2C{%C@q;{LhZ=Evk@7Y`rPo)zdlM}ef#!)d^0x(=+19OMZK5nZ&P|&4` z49v>>fMiiR$7I|?^YN9HBgO`CtKIGn7g8og@}{9v2BH=)1uhE06ajMs^W1<^+eqkp z@W%_Hplo}INC<>N%=5UIN#}PalWFtcs6p&ugxMYh#y6Dg^!iHoLDk%F8oBSo<%%0@ z*ZjInnjSpmyUb*)d8jOCx*>Y3iD})qHeTEs2$P5RZ_tQBnMqiLp6I_864ZNYR5yxO zy}==I;Mn=V#V`)bdJFlzp$8uKYV!VEI+RZHhh-Q0wE!4#r~E@TR~1+Al_{;Jy_?SR zRjQmi7X_cSR2io;O>TU!Svw%PnIKL>eLrUwr`W7YC(7sYcBrLWommszLo;?oaekAO zp=rx(f%KH|+QX>;>B+MOQjV$@pL+~y1H{$!7svW3w$w;*6$*;d!Hd{cw~7U-3BEY< z?Oiic+}aR(z#Nh80?U**-~Gt5wuRPn^4h|oXS6bH+MiugPy0=^ANw~@1->=j{5{7= z(%7d+MM@p6)U&c>N+~5yzZ!v&El?hkCU2_I;2nw0yG7pL;G#^igW*t6xjOeE>!ZSP zv+se4qh`Rlqg5M*L83&ftOd{Y1WgU2#$mRxmR6lkF&eRiAbYT$Z`n-L(`r~)67mW} z_8_4USza=6^~`D1LWYE$!XFjdRv4>zNs@8U+IBg`Y@{e7cI$-P zI5c~zQ1Hi(o;O++LD{C!Y5n_Z>nS(7|DD*LuVg&nH9zd!&$)q!`Z{Gc#t=!BP4tFO zzUQu>(~*|oxcdW@+5oN@{5?F=_gcrkxDTY=YK@YtiF8(p{QAhQL7jw?`-R^zE%~U9r{(H zyZ>T7w^{2~t~82XCe}3Y5wO|}7D~>%o3Lc)SyiOtq*}w|ZKTIkP9ZKm+H6$!w2{fh zj_W_u*=P__zxfc8MHn>5y;7jsb}o2rgcG&io~i(VD-WcYUTTEwAaLRY2~?*>+{+Ue z3&HH*ys6|KO+GQ}PNJ&7&~s;hle~fq%$U?(6XZEWwL6D()tj_%&Rj8$5_8wE{+;!2 zD5mVbxooQ`qQ9U1ZO5x2r|9)l3CV+=I~vDARc%He&+Z_FBlOaGrVPCHPg}U91)con z7Rumh=nPAbol{pWNh=-8E9eIO6{I1b>Dl2GiTLE6DhA{uyjS3iFcE{yDf!@kl!3=* z8=TArE(ddUY7ajcKb_s3q#T^<$byn8WCx#Kf;XeCD7xN@U(Pm8t#|`8Y*sh==$@H= zzaI&8k*qGt6MG1Sfg!P^cxt$*;%EPcalW}LH!=_sh?Xw>r#fsOnq%Pqbzn6scMr8K zyscb(J_M7W_b1#BknY;34^Mk&dNvxdb<%U}uc-Fil~tf-BGnV7B(v-9 zsi%$C>fTWGbWt`@gSHRWo#i1!T;^5H>Y=x1*Jqr1LfKB7U1YCjTTAc^U{cax9F)bDM4K6dxS6OJXYFn zXmtLC2M z>b2iqzr1*JD|CF}o&+*0#^oG#$7Z*7r8Z-GW8Qr?%lHzELw`~J!H1b8p{VZDy1o?} zSWDMC5(U0ptfdKKNKH~E4w0qZ{Pc*kxkQ=k*A8!{@75=LKwy18wDLY>`H)E52p~Y_ z9f?eq!q29+R%c(mk7m8`A89sRL3pR;@ zjv^Yr4lLR6?uj8nb2=g%af%t)aLv9mfRR%uh^i`*wG10fkvoBlcFRB-(Uud3RX&Fj ziDX>KbdFNL7Fl)L|L~G~pY?Y7Je1IFKz|_vi3w#dYq|rVXtDQ^f6|}24yuc6P4N&~ z^j2r4??hR2Pl2EDd^=B7cxwzdhXqpCZxYHtf3i1vud*9bJ0nqMYKG)S5eJ#XmO5x< zv&8ZdBQzLPkKLW;%A~UC`9So#!u?|Ptd

    cjy%~?Wq2)tO znKuV(=}b(BnXKfUz_*vJPEfAj*CQsfH#INF9DF>|@3EwqF?nlHS_)A!bNz0W~n8Uc;fHVwckWR+*s)!Vkwa zAsx$EZcmE8dfw^qGk%+?6*a}S!PO|zY1-|vkoFOy|AYDlquM6zh$Zz;^V=DIu#WoNsR$HqR&3bfZPt7E#us zd?seC@5q7>QZQl)jQW)2QuS?hoHXRP;lvuc@NBvw0?7m!8h0@}tA0?KtTtbHYn?u+ zCQ>25U`C-K{qm=N`zy#`rF`Z)mFf;8{^-Lh{y$z!h;;-vCz< zSNo77{;&`sB1h!7W&h7d8|^0o6yN$Sm>-9jBQ45&>DFyJZqLqq3%HV^4+r?L*4)vp zQOy>8+4(fd#A}}#*6GMA0(Cz`*7=t4rGEQ7%6`a>eNLFckn3MY8Y%yxuYeE-l5X}O z9YVx^eIY=+ZW3a=Ji_A6K#X!oGG*OI*4DN9VR>p!wxTY+Cg1K%!y00>6T^4y)R4oF z$SV;b5Xv|tb~~AaBYT-60_vB%&kiw}1xhR?Gl{pK90`$skW*6|u z-X9tHNz6gD6C9=ypCM&(?^y&WUUc`Xs)GexC#5KM81lPEp^m2MM@8OZ+P>YNmj=bu zIJ{yb69LXop&FuABljgp(6aqn&mhJPGXQ3RiP;x9J$rlJGG5POCs2I|GkJ``9?^qW z16_EuWcdS*xrE1XSD84-Nu^PJgN9U{u_|ENfBYPIw&Y&!k-ETzrs(F2WwC#!a)Se# zmZ-*UA8ZT~|I6MsFq_MBg)CvAo=;ui-^3#Sa^lj{m&bvuEvd%@jz;6K+Ji{b5&2myZuogn4XxJN zGGqC6ZwKFw-*~K-JswJPJ+JE6pI2fNrH1y;qV$@lfkoo1NJRVJ?-C5s8d8X!I z1kuPNfnZe5Z?A&WHsWbVWJ^(eJ4UXv#Pz)#X_l~8^`+U)L@8?<{SCtw3dS(9h;EHP zv_pcD&l4&>5UNe2rwK#8v$=0bpG`+Iff)pKSaqQ@JObdD{##eJrxk>{h+297_Cay9 z_Ii_!5b)kYdUiS(Phar7tod98X&k{f)HZ?8SYrj6!?O)bH)Bf&&l_iFj9k`e7WUZo ziL7%>j6~q+ro>IZmJ?@&;qAj$w6&(66gU&Bysj}_FojJ@hB{A;KAuDFS9@%pnSb^a zkindE-^mP6K60)7xj^K3tln3n0k4nR7ogxnG2O`4vUs6O7WdUd%dQN z=#Fpo_YffB;Mk29>~*)*ireFMyaw#h)1NdTvJEJ5ct~~z;J-I7D#{SA!DWp}%K?uj zn@dg0N$L*|0$I}%gQsTe`lf@;GgZkc$6cPw)*xdi?g~*oX?_C@IT6SqE5L8jk<8pW zQSrRrO3Fjs-my9--x=CNrqJYJ8$sf{va1%9@vz_SQXDjX#PJB z{dDGUbsILV+fJ!js8B;Dy_EiSWZ2%(DZp-RpY&9jR=i;lFmTxZXw3OVHqF~(03 z&^)|H#FzavD?eClZwzs~3OB^PHt`B&|7CRNDh*4b(_1HluwLH=Y+fXMFx=0X&>N6C=B+&0*_Z(eQ)1Tzxoq#Xx)aWM*xL zH1wyY)2m`va}sP4a(aFJo8&gxr?M}qF7hr)q%Khcq;Cj;mY_<3y~M+0$!8Z%iy|c| zpsj`3?$SB#Z_r&OAiBO*53BVf$i}}g-P?_K^@FHfIFGBSu$Y!Z0b_IeLOd@%_8?w!>BRn&_e(4tr<`vKcXxMpUqs|Xcb9aBz@k{A&YN)}&dzoyMXU zh?cic-yVOEF?^JBRM0&OpKUGvmG+92azUL2oq4?Mgi$N+m^!wOLh04Rkf<`|PY;4`@#NZxUnl-M#-JHyOlmOqP(VpF) zkB)m4^SN|u$zGNVTMUo27%Af3rN?K`bD{5zu3h>EgI8k)qgp}ST{q|9_bIg6G{y@% z*cXxv9j3ARLiJegzwPO~zO$_TT3R>^%Bli>gb);Cc0?y(<#XPCIWuVL_qs1siM?j| z409L%UAIjRCtatvGk@{!Am$p3#BhR<7-$Q)H~h%n9VqDr==gEUF0f5XsoiN}MY=!D zts!XHJb@&4r4cXG6Hni6INtpC4a^qO<*$CxX1R_&om}U2ISGAi6?8uvSXe9lq&lSO zf5nVXAy`R)@k=0TjVzS$%dGwWDxC%h^-XO{ri0QMHKt>n76XDN`%XV3wEXrQ7C{Ws ztfEvhr}UgH)2e-Vbh@FzhW60G=f0=Mwlce*aR4!R+$`7ska%tTFcuZ3T(CtDs`*{t z!YWFzDaFCobpajSu`gm@p;j1x$=k}*S;M0u(n2y}GYf>-I4(8W81;mqG)^wE&8;=E zS(72t`^fqi-IhV=)7#@b@MOZSiv=9xjC52#M{N2J9Dt#|hc7gNfBWI4SNp z7mX5Ame_F#k)Z}g3&bI=2J*dWQQ_i|?|f_tpDvxQh~G4kMJ?E{@23anQkWsS2qu(zc=d9t2fL14y=S;c0>Dh=xUMF8Q3P%bnX)6Q`%rs zA}*<4rWFBG_K(~Rmb!G^!RHVYEeARc(zlo4o!c^11>P+)Fo-O8X@fy6*iV<;aIzTe z*#*}!@aFn!Ag%unc_}X&XL^DV9OUvg{73%r8OsI&;^TK-TA{V`FkXNnVV}Q<$nJi! zQE07QHn!|H6$dNjZt2eMYrh7~as^cQMEUzk)=jnJgc$VqND7Ric(F@rpd&_Zhc-jk zqK%xXxvAl<)`k`|82R$QH;4d&D8@~Z)`P^7v)ZQvgMXJ22-#3U#{3_3gfi{=+B4Y4 zJT!*xyxelhs_1YKIAzAH5@9Iqy&c=Kyghf_v6(O%d{~-J2_@n4N4E4#x?_myreYKo zN9K-^$&7BTR8+y?*~@ziQ>FFuopc3>X>U98hCdDpho5MElF-X5w-c;q)hg8%@8>P) z<+hxJ2>Ki0)=pbe#49=!NOA*4M48ne6P)>L4AJzwK2yM~WpIIjXufZqAe!&_Gw@IY zS|60k3Kxs70HqahZvcafI9}&J?Yv6-^0(f~fsBVOdIkE+%cDD3#Z|rgGNy?T2Sud= zTlATX)3N8PvR3apen+I1{kC_jjrThelNmSo)@QrG)$e)u(xCfO@VVvA^V0M^oivCkmd;u~3^0QH}e4zNo1C zfD((3w@>p=YE4+e8VsuG2j)WlrD^(+M9ZjJ;-}>GR4Ty*ekrtMBYSzcFDU{n0!-!w z7AiRZ8Yt?n(csy{PW_pvinPx7_-#fdV+whG@wyI^RYSapaew(S5tn@H)vFKEP{jV? z^;zhP!zC+63euvGdbp<_@X>CX>ef!i9_Kum+VfD4mWZwn`>+q`e?>vu)z_@$f)CM6hQmsFV zh%fss0s_-y`d9jH@J!~_=_T{6S-QW8vT9_Y3_0&W7*5OPw9A4c(np#Z@MWorHqv|R zj!neMPq5S;*u*hQ*PM>n3uO|WKhSh${mIPb#?t9xB&N%EnpAz}af0JRgSf&k}pHEE@7nF;C(dx9{SiWFk zKnvS4Q>Vl?x4W@$N3)DCSRyL_7M5?>yQo;6x&*HB1}^#yo7N^CcB?o7Uo>Hu2%ut$ z)!=Jk09P7V302Xq4+&CVa&_2;krs9IKN$&L8gVLh-+kwY1HU`Alb5&*Dtg=O*EdZ`t%E%a2+KNta$?i;CHRH}VEl2u=IQ$*N_ zpsn8ZWxqDlQ<&d*M}UE_h|%Y9_$<`bu`z)_lmDs~(J8@Su|P5=Z60vH+~$X=r{Z95 zim4yxtsvgg?Waau%b12yRoA?8U{oigty3%-#T!cSyk+2fO*(@!FK2_dh`)$44J}*U ztZ6=7i-AN%LLm>saR5BgH|j?iid-uMTl;&{&Szuxzv8v!fU=p@gYrPAN){MwFItsg z4#gk23vLX3U+5xKWD=y^)Ug1w54qnIn{jbz)oIWMidR3eEbG4v8io9%i1HQ-3XKZ# zfVv9Y7Od=uQA8aq9#}DT(kw04k2$Vn?6PP%G*Gb^P5+MmwfGIU12htuRb;os6N<+i zgJ@}JaZNfaZ*g{L8R6sbtH?Dm19&&2%KSV`E5nbX?`+{^Ekm+O-#Y zV>E*Y`ZM3FUN5@nr^g4&j55{m0_gh6*v_uQ%kY}2^gcf~i3JZxZIOenkHKw6Zma_5 zw3F<-W25ZxncSx=PkH@mC+JX;amd2e^V$yyh@S^&iSI%E(#_M7h5N5N^I=+(dv#j` zHrklt`%r?Slv;NpFt-B23nn(qvaOMJ7w+&lpo8pxqWV8_;UYL4|r9Ji#8mu!p&+E}Y!xS|5Mh0+fKb&X7gQ@bm2yHyS^NH)Au)b>kzz)sdvmD}k z)k2)Vx$}087o-?Rs*XR2RpwH@Y8$>qXqwiv&9feLzWq&U+!){*k0fsCeq>oy`b$it z^bv4G-*v10AkcjJ+n0_9t)W0I{`D4;5}o`SsNsuUqll?KhXnH!^G4>=q&5XTJO`|r zFILWkSr&C0wQ5yhCJ%VI^;{@D6DWmAdK{`9##265JXi_d2&)&F_q9=DTCajGw}_e* z9i*0~h8sC3MWqn{ZkggDpOoO)Wf6c5LhDp6osxkUraN6hC>z!E3X+#`nZF=%lGpCc zAH-F`z<|(3WbA>7shj_vZ~5uO7>>1!{hrr59HA;>si?O!Ix&%wOX4)4*-fEr%jg9v zzsh;FB{yTm@_KEG>hgCFPfl|ll0(IB<#@$-yzAC)L_f3OKwMu}$gsu!=6TGwfi(sQvfz`FOb!N(xl{(Q;Br*Mg62gHD6U)cFrXt_r)=)MI^yKN@*ECeDfx_R zjQ7qWF7i#<^ov)wgdM0>;m6G7ZQf!d9^3ZPOIW)Zo=EK1k)}vDw4A4ph$gBI zo`g5EI?)9hoRh&gk8ug_X!-dHum=s2keiK6`S@aPcQZ5P@nR@*tyBUyJOH=av3Fya zhrYE^$~s7j!3cUQ;s0MwSjlezY~XbU=&+JnxB2XOJT(rAy1kkSw|qMYYEz~X=y5i# zh~(NiQc&otgB;+LmrZVmOm(nfP5spQcC7 zo9lZ2?Ra++SaZZqz$)uhL8-QYX)t!hc?|kZ#l9s_TMm^9+rnXp3NCOTp70e4#Qh29ljl z!bebD?(^Dz=~sU5qR?-={#GI>d`uwg_Dcy=h)(|JUON}E?1i6MpX($Uh;F53)pglZ zr%c@@LDM6X?Jsk>N^gvPh15D~^1jG}rr<6I3v+-)hp%5#+|xjo9*dd)|Kjzs{e|4M ze})7Ah=iU|JF~e~<$mHQOF1t1Uj_+`x>>^p(0c_FHOEG|dEpT3NdCPM+7+DaZ$_+d z-+;BZKcPy#*bc(phkQ23Z|i&E7J6cgCszAr>qe9ws-U!IqfC(s7bsbVout9Dw3jELGBHZ7*tOo zpS-3H=6-Jy?i^VqC3MR*s8H@g*D_Ql1Z^VOY*b+yX2wSx*`YwbanFLM_C?sjCre##Iu7=ZCt&VPc>LrY#U6|II+M) zMZ)m$^MVt!KbK=pK@DE#Xa{Y<{918IO*kM13Fn@d(^kZ+;ZO`SA~4vU$Di15?)R%a zZd}KJ_@HT!R2E81XF&7$;q){S8w?+TR~!AD_;ZO{o4=e+Qu>RoC?I}p($iJqNSyBj zI3G>Uw~yaI(@_LYtm>KiIXd#dgR*k-a!y>vf1&T}QxvM#Ub&6eIC^CjBCnt)ZT#vf zP0cWq4d}wcpjYS9c1Lc*4r@u`?PEYHDE`G~Gi5WX*Yt=a6!z&XZ_laW5P!cg8=u%O zb5%vu`GJYdK^u(R@WNmA{>_ldD~a4A>6b~bH!=Vo*JWF*Z~qg zy4ATJ&7;v{Ub9cxJoh;MsenY3usxo4Yb)gotS01wqZkKj4k@GjH%kk-l-m42Rw{mxn-c;oPPG-V&Iou zqGlXppT%>Yw%?nFY#PY^(jGW`-pA*fN+cJTGMHSjq**3liKAZ?Ul)JFF^Hu`fzd7a zJ?%C2tlcq!)A~EDKC+Dob&=EEN>SEL$A26U00VfCR5No1sc&{b*7SjK?+}_3%0m)R zr9y&~eDyp_FypPVr0;Amyf#j_^%*#yr9h-PL(ts43aj8A9yoCR;Aghy8_2ld-BUf&d#qTIQgFC)x#xBr zfg$)L*JDqPY3)mM`rM3Q_-W*TpVo;uyr~L15G7=O2CaTg%3{Wz{LS34edA@CtCrQ2 zQd5cHdPDwVLIL!Cn9@8#M!<#eF~wyDpSpH@;~IIHB=%+H0V+Z-()sE%s93;`19>&n zKwb?{lh4k9_sef-+SJ9xty%vV;t0S~vB8ZA%iwN5szW6B?)<1Je&jk|T`6W6)2d>HOmnE3G^09zR`E zRS+ER5soo}QDm_Zm2edYvUgTj=~Ru$#ZgZydDfWY0F6 zSKtB5eaU#aLc(<{B@z1{5Iui{tR?Q-5<-2YXVDa@Cr(X9Of>iGr%fDZH2+YGPD)3O z!nX;BZ)D_~_L{peFQN0z=pp^cKeJBBa-AoT4O!}oeN7UhqUPh%U3OEKFp-J0k^=@9 zOG{sUOggX;Uk=&=O(57MQledtdS?T3d{}{LjCNpckNOh!o3%QWZbneVMAbOjMRT&9 zh=9fj6HiwW%nO5Ejqk4a_!T7gKjW>horRH>-|k$&C%Dc|lg5zaM~HgU1G$#ISF1~thlTl@O$_1 zNUO#ryyqcw?0FPAIhF0sS(vr);MG-GbED(g{&@Ndg6}r7HW^%G8sfG27K8q83!ba< zRO535!&cl<*ANCw)pBX<&1T{w);+TKmtO9qbrCM#e>eFOy=Ldm>&p94P_uPnic zTz6yXlnE$|+I;C-4EA{=gS{$FEAxHOc=k^v2b^Mk7}byriYrIhi32hUL1&^hB=K3I(W zcx({~l&^J3mQxJ;iBwUunAdbv8$NdB)ufR7;!Sn{Aqc8=u4@~EPZ1hfPG9^)uu_gZ zDyIxU92zB8Ep4Lq&;UlF<;NW?^V($ev6=;SbPm<+$?&q2EI9`0DBId5#?Nh#QCmmZ zSPIgH;ZkW;8mvSL?Vu-r3Upq}471E(tI;ew{-;STsYFu!r4S7lF7*aKHSAssD_j{vnOIEKfk++=QRiz7N zB29g(t;v5=RrblGrWJ!Xtzg5=%?mv zTrtHx9sKi;85vuh>}|oAm~1Hjyon}FCP~7~=A!+=aC!GjAgNs*^wh$0U|Fx;__?0ur2g*|z*P98#gKUh zGZssVoD#GUW&&L3?C@N`y@fe|)_Z0&P%fja$Sw5PNgUh)+x1XO2yxZVI8Ls7i@F2d zljMWM_*{RvZ!n4ORTyL<3gPT1%d-?I%^Oz?S#ulj&8&(oXLp;5F8gONMv%_oDkwo5 zpk=m_)@8kd$I7dUlKKtt=BXAGMXMV&sdT2DeEc$5KB~x$UA$7A%vn_<3^wKKQgGYt zyw9Bf{E2MLEsV`?K^y_Q6uii~M@1E<70#A=Y;U*0`!c|fH2)<2X;Tb8L3gl6 zfHcf6?-J$zrv$|%GfA}HH`~=PC1&3 z&3O?LJ4dXDhy-+v*TrVZ{Z0%=h&m5Op|J?NL!n=2KwzNXnXpav9!lP7K<34=^3WNW zI9O3>APp1G+W4jCfg#YqDCCD3ty)6KO|gQu%W?9;dCq(0qSdA={;1HNQk4t+vVKC6 zk~IAOyt3m$x~o2~IZ+B}dpn3KHG|#xs$LA8izK0gbh&T-FHDTAI~@}t_H>#70T$BB(ar}%uPHeiIL62Fy}O`sIBWujp?6?TG#c`zOGJ;^A?jkJjs(F~^hMw6F{%9H zA0(F!u~$C~*WY#D0#t?zQDYZpxt79)Ef<`$v_|2h*P0iJ&kcsa$R z?Wao|DR2Pk2B>+C>~3|E++nFX{D*3qUK?!>{t=?xO`#-?xI+!Yg#D?#sIrhZyiu55jD zN{{TCL3LA%v*CS_cSE|2(q-@rmSs$!cL;JOi!8MYX)n5D5F*6YF~8Vsw_DM%vx&DT zcnQ|4upKJ@?+!(|YYY!md7jrahLg`&f!QB`l4>()!u8^UaQRlJe`%#W<12Uo=VUmY z`6J7W!k?_LUDk8lGXB{p-MwC3rG}!=KxGzT1Z6g#U^7?Do=`HmkqU532os`arLd1H z|KLqZua~l)@;(dELA>Y@6&6TyS<2<{%pnL6hUm=i(N#8#l6@oiL?9 zzKu122V_NzzF>gzC-I-Yl_8>My1_F>(xupme}M_jly1_ZyfYH{ink9j4U;BMsGOZq$enC%7Nb|M&XuU@R;4&Z#`k=@9{KV@^?UAcKQ1-Y#49m^fT5+8!Y| zv6)&LlzYZdc3q!zRPbcCu(=*gIOznph0T7h$*FgT*CgJv(1s$C`9pGEG+<)%2>CBd^V}tV?pY53Wlqz@_Tq_jJTo}?`7gutp)qu)_)MQonBowhYqF@3SYGzmKZDSDBQ!at!FQ)|AJxrJLM*b?x zC^O$+<7!pbpe&fYVR8;uuNP4gqaLTf+hcLwK)cV{(%8o8{vg(a>@46UAjFSwzH0rW z!DzFvkLZD8X*L$MM)T*?-v$5-6BY_LAV?}K0jwJddOj2TJdPN=S}jZKJrTe)qsN9v zq`CGfjLGRsJv*MHfo|lxuAh9VyBKJAw--S_{rA#w1BS8*t#aR|UV@fRmWL|0_t}3v zJRG8=Pstqn5q0Of zg-I<`cX`ZzGaf+1Wv{scb$izW`i!xM>Y}-Z)4azQx$sdzGGRoMXN^H{v?`+S-lp25 zML3H8pWO!2NuXwT+;s^(>jjrn8-!M6GW?TucTb{sQ)p|eKzSq_km0N`%JYz}Q-gS9 zLNu^AIVKkFaEH53i8QtUw#`G*+C|kmzAO|Mod@%m#U-*8&zyBP&vUf}M1EV6^|*ZulMy$Q1dbF--UiDQtZ!mOm6z1y-wzn$2zZJ= z4VKFnrM%5_DB&6B8fRZdaU1~aX<8{sWawsEGzGt3bX1HdFg4Ytq@|e1Ch^%}*~G5H z8_bzG#X_ame&MW)d`*b2pZt;3YA0|BX9!!r+wY$t^A?((r7QdS#}o!=#N+S)Qbwhg z#ZEAX=tTCARfJ)Pl*TV!49KcFCorrdA#X9d`YOO9P6nBGQKlP0#FRcw!^YZ44OU7H z*%}+GZaNy@i!NyN+*NtOgJCjjviqMVX>Z_F+H(NyL zqw!NP8aBdV-sk)0QtEu(D~;sE;Yo%WEXzsHfd~tZG+JF3k5KDAZJL-UTLc=$s*n30 zH`*W(a#!F^4;HWeC;Rc$)fNp5>7;~PZdUvqlwGRy*S%xr)x)O6TpD!|00cAWa!f@c zJ9fr5?0akUCIuHviLW z9fEY6`pdyPrj<(HwTh{jCf+xf?~?d_s&q$NG_+7u59e+1S;GNj>kbxvjWJOPQ|!1+ za4lBHrYf+x!So|GC>KXt7Dn*_jN=_KWV6DiFHg0v@nQYRY>_6C;71idO3g>@)=)35hgyl)Wlqz9f8Jig>5D4b|4%CSVsL;ENPk86mYJt| z0oLz2*|yrYh0Pc`OT@mZgut?5L#&hxnw5XTD!(yFsdH)vc~tZzGJ#ei!zgC`CsOzv z0ebPE1FkLY&V0eO_q6f`O5Ng9j`nq)FL;$UUr^X({ZWKt`F7apkL$;k%gE$dK$5o2zNoq}F$h&yPQjHlTXstfprlgES6mo0@%SK=fIm%q zld6CZIkF>%bvC4NGJiWDVhmiDu*yfx=s^1AaPdec=dWEG&>n^))LXqLb?5kc4N!N8 z5`lqo28zfr>?qYef_O@LvLU(bACul1r@c<-aRsz1p)SP|GwKB9t&P3eJRa4&Tc-JK z9eL@2diKR1m?axVao9%&xhXA3u$`_pKG0}T^- z^43@jpP!Unno+R^XUKJOY?O!s(v;-~W1!9*SsV^nJQ!J7AQ&Ut7;PMJW1G$Q;|b-7 zz6rHDM)kSeVYOZd1uh?NW7@;+DLF&=0W2? zkm0J3WT>yldA7uZ4NZQqnJYPdHG5QLy1c*HJPrVBiPe!yQygP1Z)#Yzx^%z#YoxaS zmHTC7%`z^(42ZRzz$R(J=G?dYcS?fbKH zPr}4zBQ!;|qZ~=u$HJkyo^{8wJj<)-&dZLbpj$+VPYGjw5w;7u=-8)|1SFK~ce$I0 zCaqv;sU4X;vDP->CTn_Ob3dfNi> zA5!=nRT!o%!gnX37huUi;B~KtG*M12^v>#873L0DP)0{WywKj=Br4j`*lWU zoqc+;2?Bg9wSC0+)L1i9eF@ze-}!j?g$5Ch)p7W;i84}OoIqevIM7ORfo{gPn5AoR zW*?vfqIpZKAa`_axEG-Ymh8{Nn5|QZ2=d3H*V(Dx z7ffg$yjyH~D}w>$Cb-X#%4pGeG_e=J?a$=?k-YWly-pw%L_ z$@_c-Be0nev2A@6a2d#VEt4GtM&Hc#umf!(HA8cX>CLLX{H@Qne?CD>mT2hFR#5Mo zUuz{YOLL1#-JAabsW2=@FTTFL^BvI~0;l*yUG5^SW|tTo16WLN#h54hV7R~a$??AF z!LvbdyKiAD8)R7OXu5Z84$DJ!zGtTh%SRKd+-3noDXVi2X>r6gQR+52dtnYVI5zl; zGKLio4)}p`ENk6e%zoY8Bmy!DEkWx>!P@KOefupRDXE;+MR4Qwg;qR!N78wbAxl(L zNZHL}EXS8^JSy(1aFZVCC_u=?&D>Jg(bFNOpBU zzF9!vUU{G_LR*Ag%!!g6BWJp7fn-p!k)b-7nxrm9$!CJMy4U*h6}ROZ(mMYG+KS7= zvWl4sr?PV0iG4F$d*9_?e!GD9tH!GwTa^Qj*3u=<4&7Y#j%10=q()=9^HK|pme`inM#_HYPK^Wcrt}qP^ zcu`e5JLyHOUDL9@^Q3GddDDDTdL=gmJx`)vSZu4%*~H>lIa*A`JTj5xF6(q4!>qG4 zl^sSHREh~zz3JF&PDsIWYeQ*BK-Ss;B4;Ov8I;_5wTa_a9Mhj=gh}wUDbM>6MJHNL z7Ikl^&W#RvHYvOEQ{a2*hy8R5omL}V1MZx zm!E9?-=)>bP0#(Ay=Y=Df=S>FNMGul_`!9#TWUScn{E>-IC~O-HX@pZ@nVr1SM%7@@gf~nYgy}`67SQ5(A@jSMy_8} z^`Aa>+@OvW2i?pr{9t)ZS@Bgd;2$kZH03lSI+HA0?UA(Jfv}-O~03|t$rrO$>Y8_HY;NcNxA5Ez_XdU zzrH{(>)pcblegsvB)3G=azDbiz{?HG+(mka&_+*P38x3q)+UYn!a5MKF?4&N+1c$D7nRJ( zv65qV{J?s;u2^0vMmj}~x$9V_w{S5hL*bU`bC)y5R`t=c2C&mPr#vXz`Bq8pfTpNQ zEs7jDj^iOUM!M`W?>85nuFlTtIB~uMJ&2o#`uzI>?Fd&UH+j(i-qEU|3p$MP%;9=# zz<3Qu`cidTuckvkVPI@(=YElUE;Yz&4xt?L;Qn_uetIQkRi4bAUAySU$okay`bc&V zoT$l5Z8uw>P?M_e+Q{Aj+xu8K$VMntp^x!SWJThaFQ!3;Q?GDRXJYa zKJah@8azB!V?au|-Ed?Q$l_{BH1@WfgMCrSod3WvqflXIAoaP)%VugKAJT`$%cb)( z>d5WlX5WMk^|=cTDULPWa7Sq_OELMgVh7YWT-8Em>?4bzf*&!JD4nYxHiHUyBL|q! ze$v{?aY^^p22jTx+=@$Me6%X1a-7{AATOi^j(I&LYX_3;G6{riqX~g`sNE_#>-qr{ z$lUgo!1evz?_Jf`0p;3HIZxV;13qFQccZ4loVmRJzq`I z63sVODmT>awrKvULt=S1J<|hrlZQ_mZ)}iK7MUyW7Vc?@e(ocsOyskzJ6KcQdsa0l zSJ_{StrS;$iVd@%4l`BDP?ucko-SZeTFe0;mewl7aF8>?ny9I-78kHH4?gM}R!;MB zV+1P}mXd?xN)^6|2c%{=;G2u`T=LWjKiveC?2}mX&BwmQx{IDH_LC?>vFO=;lW6

    OF8nyQy)CBrF0aJtuVH}w$RT~k zhM2V^%8UZeH`QC^kAw0?S!;ZbflHb=+e&D(`cf6+F@o`*Mo3{0#!W zHs$mC+FX%7jXf^f@t;)_HQyu1Jq2dgU9_5xHCSD7trn9}iHI9Z>j`Qo_~5`bKqu4f zLUK^tw6|Xy_vR3_{`l;cp00y2r|ai&pTLasVzysE9KqVOId^0Qd!Yxv|K}yr5K;ZA z-q)mkTQixN?EddLIp^Yr=rDJWjVr-I)hwFECA8$~j&dnfKl!Im;~P1+i1&YbZk91| zPS`HJ_vrS?{i$Vmic!3A#5yw9A~JM@0BjFLk^`@QSQCBJ^eT_rv22_KOR58ja%Y?y zqW}^AQ3gG=FabzxcX|1f^C)KNA_qch;xp*r{#b(IyZOwEv~b`aqk0?p{C%oB75%M+ zs+H;CQh_i2e?&={n|ell&}wqPtw}pB_;_bGzl>8j*Z9Q_FFjb&s<;k;^F1@#CI1c` zZ_l8OFBiYG&>DeO`>_l+DmdIgV(&VMigebMZgvjeY*_!ii z2D#_igN%wfe`$0g13yZCDdVzd!I_YfdL+DH(jVoUU|9)aGc`dzH7!p6cGgI3RpSMv zt6|kG)t@&Br>d=rPxHy>v(jG3y?hQN^h^r(D&upHw8DV|b20BNS=BG|QdC!9l7Nm2 z%L}p+3mW(#2SCr^dk@g|nVYF{o ze5W2|YM16KD-!m%0*d6N<+?3Y;>3Sm2K9Ei8y5X$Cm@2o5`b(zmYZaMXB7hgzUnj= zRDgPKN_6nmwk6`jk)t#03rXzmqsbgEQaF)(qj+CxI*NiIbvZ?}QKF~!G3CN`qvV*u z5v*u!12jFiBf@9^vYVz0Q(7@lVM2gs!u~Zm(o%(-47zu5Cd5}iX1Q;%345!cEfNag z$#>myvNQoQ%M&sgfV8C|f55ZX@oQ;P)(9&qokdFTU4M6QgxJ|%LSwg*Zc=r0=w$~| zwT4U_^nql}U_6{azP4`{qCny=6Rdg_bNQqliBovNN$>5{SE0GN*w>Fn(l!j`1-f@IyPn*3TPzrZd~P z$czE-z}m#PVAr?;FV^+}LlyLJ0L5XDe1W17-j0Va9-scmrayd9R2d|2Y$yDpq*A6V zDP<&JG&7?6O<8Y7e!~-bZaa7%%@kYv)>>TLiSF zIMY8iNzTPfpaE?!k{Q32%}P-bVjRn~S}y%_Om=~t4Qu0lHA!FPi^l%&RyJx_E_)x| zWa&|ZhM;~c0HkSYKJ-kMjQ^M1IQ82UnMLqsMv<=eOEYqvste+Bc-IsMo<*rwtFAI4 zpi`Dd=~x%5)Krr-3J=)nBJA20{RiB?W`nh_EtS$MeuP#c9&{iAkdb&5@A0Om2iJBR z5El&S7@H^MF}gWv2kHr413+Q&uGksAZXa9`mh(G(%)1RWTL`9JIzQmCH~SQSAk*(N zC|-mLG^xatH9-ZHG?HQ6Sw{jj0KUt^P!WJ&u8J*DT>QIXePqBja~uicsor~7@KQAo z^r!F&=HK9U$&MY*8BVK^RLHa~EoDqH15BBlP_h_1^s@&aUFD8gsLcTPGl00Jcz;`- zr*eD}0N;09Sp0{Wn$A~1zK0`o)PbjbmmjgL@)AkX*vmWUoMBD<|o+^T$Y` z#F=APit#_PyRCc#?MYtkaPm-VLHfZU1h{cy`>K!TT|pzG=~ZZ9FTKY3+Xs=R6aa& z0x^KH((-OUEY9zOB>LQG>0Q}`{o&mzoS=~Ia#1_0Up<`VqLK7L;Tt&Yk%pI>b2U39 z*cit`hxf4VlG>&)qnEX6 zp8lR`8_m#Fgt0wh9E!DO1!o7!Ubr7YXm^wGAd`rIDZb(@eB0~b*%&1aKg zh_3Nd<2}g(?L+o)M|*kYN=~C@h-}@)&&Q-wd1C(cW?!S2+KTSp*bm6Bje~A8a^Ajn zbLo$MWSr+wv`6WfQwxJ3(jbNX^O_SCXx`bXhf~)1ptzg)O-PW%*_OA8Zpb`$`YuzH z6rjxDw%4V>(Z=lEuD|EpU!s5800&{doSgA+>M`9@&9kuHo(!tL`l)neD!O5+%qhL@ z?zWEHCf;a)@z9&5O|EaV8{HdG1Ttf~y!tO7j5BbJ)*3VBd+lY81P@at)YXX8eQU;3 zOIA8i(#=dcvb3mFIR&|?J+Cz+_U>&{%;4WZTOP|9d8ms0o$XXQ0QpE$4!4}Afwx-a ztO>Sbco|t@272`x#RM z#6S(g?`*x*&e1z2BSrEYKwBVFmB*aPjg-%Q4|Gt&m}daJii2F(YJ$`xw>lVBfLt1F z{>DV!2pV5^7`jTpeS>M5Vj|^KrrE-CbYY7hEn7QApu@U>w6aFfap~wPp@l%BA4fo3zj-V^!?@R*)cj?T5RmQ26`5CaTW3n~6f?ow`9D*rvyt7ECJQJSmS z8Zw^rZm)0yUT(P^=B0%Es!4cvOose#e27p2YY$226nz}QO%FoAn;llu|DC|wh8-SQ zPD`HhO_w)M9qXX9D*YJTEQ!yQV!Eyjl(C3^R7kIo!rOoZDqF(o)J1_jR?te%Dk;taaAHH? ze2TYA*@a5Mo@k1EylHgn`c`U*=08z);n&)Gb;swJ1-D!wv*5AeAnjf|#aaXfm4buz zmp_dOpa#vs4Vf3pG~ivH;7CBh@|XYn!o*(x3}dyw09qI75ATPAPaMI<*IuS{KaHI+ zJ5C`_OWt#m4`;&_%fA3ZUH@zgPNb8PvR)-kw2~e%yW>H42(@mh_b*ZD{1h+&g|yyo zU91vL6Z{7vAT{UNjXc5%b^w~4BXr~}iQ~mDiZ-zz@ZW=%rUswFj81S{2N95%k-rZx zNez4pO##UW;`YI(u2Y_6!DVk%IV1{L3X3z~%1rF`&L}&y*479E6R0A7IXB&@(3GE6)DL022?*tG4ct%$ z4$Wx%J#a>*=cHn!bZenO@h5fT$iUVU+Om5*5z)DFEVhD(<EeA433>BuJ*xlk-X-L5P-~_ z7jTr|IR>{%V50&Y>@*Bh@FzKyA5vXZz&Cr$U{98uu$guq5?W3f4%qspu-E@TmcBZ! z$@hEz0aO}PqywI_F&HI<6Tn0V*Oe*9J~|ujcJi@S^yo*O5=uz?UYa(Efi@{8F@Lh*Odw z#e0BRr80~7OZ500hfwF2q4B4F{p(7!uuPwG5X8e6JL{w(Vvh`8p5$hNeJDfo?JTpp z(5zoq{>vXdhCA5xZMrFJ`}TuX*pz|q{6r=3LmdKj*Mgq!|0f%h{5#Zm zvV79F{?V-|MAc2^4YdYKK`U>6+LYa~xD(=KMIy@{)~XC_AJ02ovHiYOUjtd;I$Faj zEur;-G380D$|YlBV$vf#vwI=^%mD$GLlu*_vgAUrNSCxexsy{0NK)D6gDT&C=H5$L z8GC^bZ0~K<3JhxWhZU7XetuZ8hF_9_Q(U#+Yf=*+&FOPGg0A z8h2w_jb|GsTH?WHTJ#YGYY)ebS=8pJSI9ifdL0n=)aX^JzUDepE?P0;erzYUN@q52y((BRM#HocY!0qLeU8Ccn zk*}{kcyBRqzipC0^v)(U!Wk;|N7I$6m`M(#uodQ|? zQt4XoDk6CX&PXu&bk;>wS*%D-dF~rX!4Jk>p_~u~aef{k*qiyYjFHN`2Rum_4Df_n z-1DC3kd9R#1>$$Ko7s|rO9b_UZrnUTIBY8%IaRxz^TtFkbSWd<@@H0^^Iw(yc0Amj z4#DSqQ;*dWVUef);u2aG@WPhhq?-T18sPEp_P@Rp%{#vPfLUOlJ+N86mpl&pc~1o& z%+1I;4=nz$UwE=NkCCKkRR9rSCSA{J&N+sDa4N-I(5*YHv-ljzNzz^`K7gsNlP>M+ zeOAtH1l9$6R}Ikh805?2Ty@5X0{42T24Z*lMBlr&+7*W{Fs2lrHwrge_*EPI!8{yE zL;au4vIs(xJW4Zfr$w?8G?8F2+p1e;g?*?A*UR@qY4P zT}cF3BDLFoyUn^1(6;zuhV^mB%tXoxLyAsCWEOAbbqiNFuIwiwgt}f01myWI1m-(t zBURg)w)M9qb36#RqX?7UJL8}0(~BPUNW}6V8FVWY!#k|1qtxp$A3jb3Cd%{RqzA7b ziQtk?+GT8kXF9-=?F-8N36#NB$?GwYTdDT-@hzb*@D3AcudW5p(kW#iIL>aHJ!FTq z>1wQT$OIxU8IL1wndwkfDgM%aRG#2DG2k^)hcwvvp7nmuXIH z0J{c!WF{q)B93wm0(Nxd;=HRfJJ^&@&U=38<9y1HcC9Cc1Kcwt`fJ?J(OTXUQ(`AB z0&GGZdp{`-(%s~deM@sC5}weG6^Z|M`DaHZ?zqMEcIg&mBQupYJzDM-5)Rrx)}46d zf4bubV~Y*(K;O`?+urhYnQxN)c0mtqu7i(Na?v7jJ8MJ!Nj@BcW;nsk^jbAdE!Un2 zMNMZYcTu;cjE8$(b|!ubnv+OisnvZrLtCwVx2zlVZFr}xUbWcYM>FfoGX_JgXzB!! zznCFxB1f4>Pd(LRJ$_fp)7Q7#CPv>kF_AhYCDBQC|HDCAZ;G-lhzE3~{@&6+#1dxL z4ZyPiI3!?NG?8ZiP?9Zh`1=lc9qmTt2>wvpyd1dw!gap5;R77Fh!edM(1m{P8J zDCsGkVd)1*6FGt3XfWK=5|?i+8o-PP+8Xx&*_qfaP#OBsO%CLdw1LciaiMqwr4C{! z$h;DEtC_g}%wbY!t4@llC!Mr+fI6yev9cAc43;ZlyV48&S*})mDxp}gq^`9T_62Bn zIN^>$!De|$FQwuStgVkBhTvXS)3KUlXLXY{aOCzov*QGe{&pxo+T{Y($H`WTN6S(q zV^tZYfO8E`aD`k<&Kh1Ry9EwD5II=dHGnL_c<-2%NmZ^K-Gc{Z1uI7zvqK5=g zFI0&r{B2fo0Ys6vQUC9KAtw!ZP@N3}E{JGncFVckeUJC44d|>qaY|ST7p*Rf*n#%P z!jUU5(oEf$%JO^XEzEb#)YghEGEv5u@s(8YBFg%`_=BN^8bVgnJ6(snr2?)`h;2B~ zUgLus$gD=?#Rp~1nOM_m{vX&Fe%F}$Dv1{S-2%0~$n-i2V$c}1uj56yg7}R5>_2vP zAA*SNik(r&qi}#S0p;r%&6Zkzywdx2Wa0N#YO=G0)&VT3lf0 zFmL06=cwfs9j|Pua@YUIWzW&zoeDx#`vHWX5Pdm#w5xpR6z|nq^z9p*JRc8{GVi4I zEBuNC4%pjaEM=KeN`(*iAUxrgtUNm4*~;fx&hE?d4ZjN19uVLaw~0TpUAwp{!8r7B z>%o%TLAVV76_iq>ZM-ax$MS0E&QlJ%M%i^{l^-B|E&w&4m=(y;slZocO(uKW-i3(yx}XLA`tEYNg}px~%*G7h~YmV(d}Q z)$+}b3m|bTE6qD7UECOAo6L<7ouC9NAju5ZunfYde+2PDXB@B>sFsZbd|CZ=c<4$& z&fIL?Sao)lv&$+n)Bb{vDq=Tg@VPwQpjFQnL9cNit%LJf0^#VptNlUpFLRfEQ@`4v zxO1B{#3H}s0_lbQ1^wE%(#JZlu#=jvwKaZaZS;@19ZykF8)0!N zznAnFIQUc1O;#aLNOLMddReGsyM43xl&5jLv550LUMMrINoGXKm{;H3sM>@Ckx6|?_qlE>2dk=!xuTUJnELAkBQg4~fLYQ+{X zi^{(T(Z8};U^Vq-!&Gg*2PM^@_|tQrgyj#ddJN8HtRb;t+2C#xfz`7No7XC3>tK@4 z9no~u!27CtTsO1nJv?8roXluLCgKpOf>AORn?16_afzXY6<<4XBe@S1y`FZIB{69p z>$|!U=4)mDRvw0XX+CzL78?8DWVNyoW*q-^!5w}4u_&sy_sjcJ#;s5Dj%su>&(nSV z$g?4re%>Z=<1eKoUW{X>7p_Ru_#Yf1skf{*dW!nZHDCG{KPB>?w#j$M3DcmvAARs8 z?Qn2RQm5vRwLv_|YGlsGCEpo|ciGr0uCFHtC+Ah#69VlH>rCD?r^Y>HH|$=wSIZHV z8e2+!92vNic8`Khu8Z1+XF`CN?Z(y zZu#qP_e{=KO#=U^ml93=ApnXXY}He(P3AANbadVAtCI9haZpWu);$5VpXyi)hnb4F zludvoNVPg)|E#kb*>JHOOyv7O?k{1te<=Q6Qh8bp!f3PsuF6dh*yT4yn7N8puF2Bf zq$%?U;}xcD@njQ8Qg|8YGFyn*HFHLJHf5EKgbbvoni4D{S{;_IDw<(tHCgr1uLJTq zRN{U1Ck}tFLb#cF>OI3M9Q7&8)&l$KAHR);T_BfQ%Kfr@=JMBlT$8&&{0OvP3Kw$S z1CNIN&peVwZOYEz;nazrfxWGqc=R)Wy%%JbG^J_d##Z{$FlEw}Y^ z<)??+@{=`W`Cr4E#`>Rr-8TP0&I;eKK+6dwwJ+ouHp|uASmnk^rOk+jD(W&JU~jF= zt9>5L+$f|P-G%nBvQkSkMTFB@sp`e|PFfR% z2YP*hwafH|rNA5IgDU4sUz?nU6T+IFiEjytp>9N(?C|e3Yz_aV;l?z~3)CC-^qjbJ4v#ub zKHsYxgMg8%g6ev*8es*mJ)9i|Casc+;bFu*MnLQ39F)=L&}a44{O2Rn_;NMs?ddSx zh3eU?FWkH4st%PnlzotWpYLr6?R&L4e+$@{_}({Alebsj-xh@2|(fY ztqX+Ox*GljFQQE9jFI9-r}?wNGi&Zq_4j)uH=l8XT#A2~Jn23_R2jZ|w7kni>Ln5a zOPenAt{T}Q9|fA%TrE)0W?FV!RXN5eXK^b1GBQ{-QdH~gQJ2MW#HwYvZK=2BCI^Z zP+T#b$ayEqI(c{_=N*d5mu7#*>l1lJX<_^!QiS|#P}Bbf<-SK*_- z8!ztv$vQF_S-szBW(b~QU3H4cWfR8qy&Lp47+)ooYygv(@if@?B^VVc-#52?egTXc zvo)P#HQg&!`Z~$!2fz|^lKrjME|z@pDOMww9x0IPJ7c*3o^HP5k2_Cis-1t%e_&}4 z{C?O?3-qAM_U3Y2zf%s-xh&#Ag%2JMs|#wF^$Zk#6Lm@8qpe=7EuTw50z9=OBAUz} z9+sO7>uqC4{D;f)q(Ynjo?uUL_Rk_3uTCfn{0l|2Ix#Z!blZ(7PbD&vbfDb-ZY~Y| zYfO;(d5#qk$vVyhI!fk;)!1d$6nm=%;-L95p0pF zYg*)9wiw%1F)@f-?zMmVZenQqKZya#f&MXbnW#Z?8nd=LTN)X&F9t|ByQuF(SYu=R z=4vN>rKN3O`S4HI4q|9ERee2Gqh@_voG$-2a{zEN?Vl4r`jG^TL&V~!Cn1b4udcXO zZaOP-WU6l_{q?3D_98|WH3W(LZbo|U0{8qdo9%o#AG=0txF%NAz_74Q5k}Jpbsae}<9IkW zfN{DO{-|TNj|OPS4b1om$dWtGq85VgCC3ZXfw`{2PyIr(<0_|2q=qw>RaG-6^4vC& zn`D3FGoW2PR!MtGu33I)R0Q*{Hm7)VzLD7cfCOqHRKp9nm)I@*vZ9CB1dUSwOE{y& ztk(aTLN zZR#c-ee46@Sgr;&N>lzxNLltL60`DzVm7wqBuFc(jfXT1_jXnZN$q*yZh?i6n3JyM zPWTYBztc6X$CxtHWY(ewf?l3xaIr1Y73MhT-gMJ`$%4d`?+1cdSH&9x$gX~0LxGMM zC(j+sbCeB$F&HStS!?8F9Q&%$9gYjQ!|GAOOVJH~YNeEwpS|I6SEXN06BqbB*Ql2# zK#T`u4Z^};N(1XJ<7y~TOcMrxcNDDnGf|C(3dHv1k!?}MFygrwlXnU1lPnP|?81eE zAM)yH+MYqanLsUGx@ce-3og$FSv#x~`bmmqU**(8w${$JDN^7mdBZ(?6^cvjBHp54 z_MqRiqn+cujRgwBtkWurj|qV_*wcorP^dys{rm{Y;E++!gb?VNuPYzxW`=a_YLSSKT}6OmOv_Cyk`E@n5kX;clKzim>sk zyokC}B+QsoBDL-DvJ_)FIT)yq!Ys|Qfn7!3S3FhcF9fFsh%d60UubfqiFvan&Q1md zIV>d7H#+B6-$_VA*WP;e>EGgNsOX4$%nm`oK?~Sq*m-2qU zymwUN8PRxbRw#5&+PG)+jXfAq+ai&rAbMowGWN2ZUJY}FJ%z-qcPc4Mlq=jPJRL>X za^p?xC%8?{*=Vl3D3SV$jjCzXoek5R#C2Zdqc)Zq5#m4lN*0+=!Mbz#aelM4UT^Y) zE&btui1=)Q`s{u)TmO}`1LJZLnSe>{&eQ@SPm8u6t9Se}Q3mH>&xz2gcZ=-PWeXgU zKqM-kz$hBvt?{ZO$60FqF%OPe(0vDoYGlddmbT!wtu3E|@#)}yCX;c;F(uBi)80`j%o(eS1ulJBNfy&5l5)-pl33K%y|oxu zEKG}~!~5O}4lgV0)%v)EHDhU7e$7r@v~?S8O0${)U6+`6s9~Gw*lXdJoe57nA5ZYk zr{Ys)*vIsmB&)7_#$Ma(LqO2TpQ)5}$ja?2Rkhe__izI0F@o5-pKmdB$+Z70)u+u- z?wGhSe$8k9xky%L&I6v0y`Q{FJ_Y?p0XoZ=1&N^OeTC-mEc``h`=n>yE)M~`h6q__ zJ0$1;J2I_+aMDF$%PkS6zCYn$)Mf7T?GAvf)QYw&zxG@XEuZnCL~ajC7E1dUGaIlY z>}Y}axmpl6uIad|MEjcaK$R_GfZVlmBRk6?wQBbOFKccWy!1)z51&ajj5iy5tSK?3 zR}S{DC_l~ZLjWW{8=#=hPLA=Rg&vc{d&|A^&Of~kdqg(^7VC4Ef9{BY{GG>dvg#)! zr(t=UaJpBqw0^k{LL3ojx?Rbfl(ICY%3_TQSLh^s1S0UHWJLQqB8)O&ZGWm#=YGZO zZ_!<}BaYc#3AxJ|)^+#|BTbJE-;~ua?6^{%OnWG*9@uG@owE7hm+?{f9)6&IpF454 z8cYW$gG?WQ3NN+So`)`a<~BFL8tp6=egU6)JK%m@>GubWY=@_w&n`VJ4`IR&rKnS2 zE>xZN{UQMS+tF`D5YT`IIhV7H?>-y=AEXo7Kkhc3y|5J;*M0)QVxCu?7`AN6Q3ic0PC359A~MCOxDa z?Az?OK#r}TH$pf%@B46{Lu|mtFX6DUTF{hfCmsEMYJ!EzjnU8Ts`{Tua#Sm{ioAKh?}Typ zyRABRs;g++SWaGdd37)6;g)ln>A|x0d=^#lxmbWzO{YVAMeeYjqH^!(^IByjCecYx zHpnS6^N`-Z$xtI7W-jFmdnn;k*3iOmiMZ?!2> z*@mDRH>FCF&bvZ@iLZ^DWL!hICoW?UKg2G8pN*wN zlSMIfkb9kufur69TIVIt0U%*e#>%)f@Y0TD@us{dFfjZ9jcxcB?chRo5(>?Cfpec| zKOEAv@KW^M0M5cnFL{*&8zy_|dY8exS1p5Y+Zvyh-GR%8weXizs)twF$~>p&whfA^ z?mLTFuWM>`yH;m5yhfZqEb<--w%JEFQY>gR5cT(B`_Q8@E(N@*H%>2%@8>{*w<1P< zrO%B#^PillTiQv5Rl6mL2qNsOwnoa~^al>qnV3vXmaQXN$t%}%8Bb^!nWm8n4W$BPOH2pYiNp-4`zrXp8A!)o zpWWFZebY}~KymM_;tBL_G29aNkfjeL1{WhGB=Y% zH5L-n*dNC<~Z{i>vr*3Q9Oq1Fp2|MSSi-R$Q(E9%YCWqN2vs* z`7}UTy!wCzl|Ntl^vr9KrB!JDpg7(H+TF<`A2}0f>K4`*Spy#W2AGNZVg=oh6Mq*hoNCzy1ZD&!b z!{|Q6wYC_kF2vNmynKE!ff^c%7V)YT9V8c-Yw-to|G}_^TJwJg^P0HR z;s$=r^oEJJS)EHK?-Bv#Mv!%diSRXNkd$kdl-d^(0ha2^xF8 zmD>E(9H{$>btI#0C-QlQ+~7WkdzlJCGI6RYml>m zA9bfcCYUx4oiia1{7ZH>jTjieEa9c|uA3lm*TfNl=<9E5WW8*8{;f6iTXY`QFl$>S zusQFb&6A-w1>k)u&3C zHrV5brXH*E3=3r{pDnkFQx1$QKb}?|s3qwSij}W!ImPiRFLkvNuauucy2u_`{f4{_ z%E}&tzd*{7di}aXvv2d=K`eH?*Ti{mpul#D8lCixR5=H>nSc05sO2%Lpci#OlHo31 zzIC->;6^p9&hJD2l=4rV>7}1;P0}|+^{xWze}%pn$CI`JE=GS0$Y}<1{|!knrz;oz z!7P{mvJb{?O-9dck07}g*4)S^DJ%HuX7PqID8jV->Z0c838mcU!0HnpI&Yu;b5dZx z)b;+!(yXz2E+Z38g~z(PX#&JT185-57Y1AuBeI^BfOLb9z4H2^3XqIYbHdV(IvIIi zbePWbtolw%V)lyB8jm;PFZZAKXz%dcNxwVS7rA5OL;Z_zG&^(Q6+=+O<;7wPRThOJ z>iAIv&zs%zr^SpZKD}~VOxFLYI!_Hcu&bUxJBi({t6}!P=~x2k)U>BF7Bz%J85`M1 z$`#KeJfds`7HADrvIED)6gvikL?SQm+G`7vcuqwwlTY)s+y=4LxpY7$MvxjTf(pOu zRF@=U7oZqIBY3Ow>6GV4T%i`Q zf^mUzQ5Z8Qqz}*6S0cW9RXw=3Q3K2o@Y0iC1P4x3&8$e8j-H!k_ucL+z9 zHbVJ?xczwx-vA`>-P>fs!txZOW8Al;@XD~^tpg@Eb6V_&LCMozpPSuReh{y=mv;uFXx{l%h)i+_>gJuFE>~T#~&PBs}bvm z{HmIN%NRyhoTD`00n;b|RTAkiW~=u%lrnqSw#j6=mKI7!~rI8=OBzRRK9)MJmrv()3rkxq3giIN?FR!_Ikc<^3Ki6)t z9D79CC+3Jwo6-Z)dBiZj(?sOs}b{CCn~Wcn}f4F}^F+BF7_^Q0{t-lAI3;3fhP* zohwA~92?AIb7{y*&1<s1SCX->tcLnzX2FXm>DxX$ffg|UQWi-#F4;Nm-p7PJV zaZ5-#JiE8Vy^WqO@U@OI_fY|(!E_x#9Fv03Eqx?P!Xk3zImWLWZR}6 zk}GE7mlfAvVX&u;XeT9!%PWD-MDV>0f6jq8uw)MDWSV&E1a#`mczfBeZX%mC67I_ z(`Gv#E`#4^#X)TqNiG?S`=itXjTy7*DSb9+*Vh3%JC&$#Z4UOuvnrKg5&yFoBu}p> zrhgaBnyTOIQyscK9y*lr4kZ_gG8SWP=LMI}?Oqt7qwPM9FmU=A#$3~{U$))QdZ=Wvb)u0c z?}xW@rcJ&sNpwHc1!Oz8P+UO!GxlbL&~$EhR$Jwyf^gC88mrjInwKwv9ffKk&^QKH z-(AFiusx9=ny_zIy{saGoEP;PFWQy;As_^35c4nqmL~1k1v2&9O;QPEWfl`sKKz&x z^qP>+IkaAf^J()fvDX-@_8b3^$HBbKU|DkFh+e27IGr6y`LTFW%Bc9Sq>*9tC69EH zi4gR-jGtel@V5iyVCj)s1V)v@R(e4s`IR3^bLD%&!_Kz_DFWi5uxH*}P@a^+)8?SS zrOp)g!Xda|)Qv;fwZlK!6$uw;u*CW$rnR|^i&CPKXH5U%&2~DCdX%bA?2oV zE<|7fq$udl-`;*pq@9_~mJ^?9z0fgN3E&5{qs5Tvl~vF68MFvGEycTMxb z&m0kz%G9rtbLc7(K%acj`$o5BBqWvz$XpIneFHSWY#8fdidD7`vMO3Dz(WE|G0em{ zmZL%(BR<&V$Zcc(B$!;RWt)XDWTZs$f@+M{zr;wW%>tc1AlFqU33dzDnmY=Zp| z_SuZS=uhDbZdBu*zeH{vw@80gWE_uvdm}`uRe&v$PfqvcKl%o*c0c3QT&BGCd7~9n zK=HtR{uudE>!s13Y^@%ilm|i?cRatJao&KTx$77fai;tA5>3a)6$kf;7B`h{XzqW? z|MrfV>M9K`jGr}tQ8Q^sQPkS7c9zz)?A*M6V$zc~;^gP{S+031!EeuDH?l~y6z|axBtUq;XPI_OkrTzBg1Lk3aM7+34p@xA_{g&F{`tDlUlp+dTe}+Pc25WdCDf*?+?`y4eXJEW*shYRb&f3`+#9d zR%T>QWO+kKF?uV}T>MI*iGQOD| zaGYfMBaIF_yiuSqeJt^@{0)WEqnv-IG9e#4)s4pryZ<~~$Vi`iFIsrB@%2kuzZSNT zsUT^ihX9O-__F;z)Z^1_y9!WlTDO0|B_`a|ch9i7*4a1pgihyzD9dv0g=1Q`K$DF1 zhU^X(=Z>{gb;rCTr@Twj1(-ide?|{5GILEvklu#NetubJsM|{Zvc8hD?$i5zC5iRl z?FGTUs7`;M;!NXK$r0!&*(w-=;R0IvXHYV9f^q^VUaLGav z(QBPV%i9O_94KvWdSunwR7sgRz_=Wtdx{l7Z&MA-$q&B_fp1NpP2BX>Hqi%4wIx zjisiy2#`%df&2dcfgZ(XA452_f_=oKp`vRxhB}y0P##)|6M5fX94Xx*7S>rIrNbh3 zSWAR=Io}$tiXOgr^O)diI)&%uGtv<`g0J6M&R?vcKiFnQ!<2{<{l;JDcK6;TbowYi z6o1t@T7#u^t~NlRp07&@4oQL>8crK42{e!3L7nH=n|=42HVevnm*TulwNa0@Z$f)g z%l;ufAQ=U7XG{mYy~}h;owi?s*H-dyFxhOyUPoVh5)>jkS-K$TDFW;d21L!!2$KTi zvxbJ=>Or@Q&Woom-j}D&q3No6$Qt{dE|{fEp&gPKC4zm6wyC~eK*w6dTdJIg`XL#u zXzJyjw8@C)PZ&6D1u&%vM4E^;@S*0@x7?VG3#Xj|(O;eJ4hBv_5=t%k=kQJ=;=XYj$v7G_?htR0ZteK1;sr!3k!9S%3+KfBm08+j3Ear+r(H-w>cPj5cI3dwl6Gtt|e`ow+ z?Q2pKZwzT24hufb3t@}L6kWmws@XfOT@6!>OK~hiq1HLK z@Oc%i)4a5KjN2YEp@J^@KNkXSzP?^7oU@ODfZnA6p}mmZ6Qn}s9iWLno(E)svgib> zxxdA|DodFEdd&2t9dM&M%3vwDV-~oq-S`!+;2DRBx0LYQak3@7Ntz*u2ovuN6)44q z5~=^Iz}TosODtWM1@~AYs`5GA6AU!XI6Zb^_G#TOGEFB7V64;O&mQovWDNr?8{)-l&_gla?u`}=a5;w%Q-DY z;)ERZi8m@p-H^^C zlj7no$Ak@k>m7xc*s-+19lsR80fdD)qm_SprAlr+T=z8je)UfILCbTniw=&JQz=+L z46By7KpwBI+?M0*a~qJDtyUnyx05?QH#Pf2b)e0Rc0eCj@_QN$SS?pyuV!Ba)+XE^ zRVQ;#fcI`@EGe-J4f)|Sk)_RfwwnOJbglMH&Xx|o_H<68`&h5ZPHBNIghv9BiRO1a z;@|Q=Tdc^rv-PVReR`2OI2x#X&Oo=GQ_$lxqh3vo~9UQ7no==1$&C=PzQedt+QF92s zH^eKNgSw%z1Hw?`ZY9LO#t$Y|78gwegkY(@^-p>-j3+;BE`vTB9T zL=|J{m=;dCTWTeL2l)IZo~2E{%_m|A-_?P89WFCRB7EU9g%ofboKsol6Dz@jML}wW z8(2q=rGAngsfCirb?p=^E-m_CoJM#>72!eP`-sXB!ssv_?H2g*vsyoUXnm^Mj_e!d zkAh+~@Tn8g`>uy;R8~}s>plCw*(%lik_f^g+1%e1*<^$-6f$$2LzC?{+-UwkyE+oV zaG!j?5gctp#`+3<1q1J|D0Mmki|)<)4a~aSE?P~KDU&H9rG1uwcXm>XiD(G^P&@%3 zAR+wpvnKua7T0Z&iqp}O#8Aa+fv0}2@%SfD-22`S?Z0!N3dTY|R(*ply)fEU$v-`+ z9%&`JWKZ9zv5yvc_f_WtMN(K0BZaW&gW|*1ION*!H{q=LS9>2;?NyzJJy>=&6I}zT zm;D^AnNQ!WY;48M?XU zvjDcnuAPX5&ivH!d)l0<{=W8jfuUs*jM{Naf&-;ldBM;M{zs2EvpL3^)ku8pvOigX zDe%SqD?whCgxqDcLh*G}eN)B>u7*1|7aM~$sOFxmoA2mxerChtpB1mp^`m+-E}ygS z;DCA@Yb@xvjK6JOf3{rC?CsycChB}#`HT1t(;4p%++3{pd3u}V>}(cxx8?{2xt-UK z`Y|qt``Na(bi{Mkz)b@YyT0b>dwHjs1^&*#Ga|C&7GHd-wctf>&ud#7jRRe$26r8( z<=sXg!Yt|qe)^NIw>SLfZC}2K7?_uNash9t9(c}z47DxxLjE7MmZhu=92-~^Z85Ci zNzjiq6UkrcGU0zuINk4v(@^Xe{T&}fJ8-m7F&-Wu;$gP;LWrpd%83876efYxLQASk zaXUF482l=|2Y4r#CuFI)JywLCY%-US^QJEbO_4Wuu?sp}FVatZ6JhOe@aF6%!jBhm zae_M1eu>YK$3>}y?Y1O^eF^G4SkSl=7}T~=rs|q!E5?{mp3ucvKgN#9j~VCbyei19 zBo{6rYTalw@$S)OICgFmFePJV>L~j1@8LkwxLqma2rRGiR)XF}65@v+g0*%(9c24I zI@)}mAow|2+NBHMc>8HXjJNYTm;1L~pFZ%@L{$~yNCkLH&cCcmD!sR9y+=0YOjI~K zqC55u{e#m2Rhap^kdb;!lN)eJzE~pf3&MY9)yERQISNk#h zRg;KL9FEUAHzb#LDDN=#RN`xM-cWj{PZzzK;UebV!%_b7`j&mKJ;Ak+oJYo9A7u@` z3v)g~4eFXO{lcgYVRED&r&JIdxD(ackIdyR2<__DQ<+pP>(dOAU#2X1HtDua^ix6q zBkB28=_`;_>`>9*S*|lO3kFpw34lW_6TEi#55ohE-U=@gFuJhTB~wvhTd#I@pTTN{ zAEzMzS!i+%JkBMLD7CPckaAt=#fo>23(pR|ZB-Whbdd5hht|AXK&c+AOy2SNgRj;*oeph1vbDsUtQT*GVTjkW(>v@~Si zE5^8ry7hvU=1ZM;!Pwi{euY4I^o&W%?g|m}t>3#}x(F0Ac3h7~4c5}(IQVugaRrOK z&&L6l`0Uv0O@_tQ>;G@~jAF(3pw?gFJajAlN+LDnWybenOz9E2GpIjp0xcI{&hG0l zxvQFjLwoVP5dkDmzR=1-sEdYRF0s6+j!XV9u2gKTqZCHZmoe?)?0bQJp`=^0)jGd< zSEYLEsh>i9gSK;F@AIBzdz%a^Jk!pWc}sqzD^-{2%Tw`}$`6I2JeycLd?>iNeDplS zzSqqZDAuX7z6OgcZ3b%gFFU!_T^nLxsK)q8(hkKn7j|1{~?n z?5f-r*E<5>OOc6H=uQu7oe)@4c-iG5=-g{ZcWVsod#hG{ z^Fn53NTwrFcneg@A(Juc;+JpMn>9aaTQe@ZV%QH;CV6`UGnU*P-x0fG7FD^GmjanZ z%|Aq?kSv<}p7MT>Vy|uPG7PuH!aUh6Jr4tQHYI8Pp3YE}OIi8uq}i?sj`A{mlP(i!>+7|5#Gxesa_gpdIH zmgVK;DxlFn5!(H-_v@9eV{V}>(!9kkx%tzJ_Idb53@I3Zo~Rv8;wGLj182o7*oD73 zYprc$qu4zJmK7?&j&?tcAJCJZeG?%d9fs8(l$$bkC%s_@&o{t|O7%MdwZXO=DQlN1 zLd@QsMYQ_`X8vyxgU zi_%Nqf5-odE6Q+c#&1Y;j&;s2p*o!Pnc&`+BEj`PIk5e^WP0basp+tM3z?G-2C8RF z6co-|KhBy@q=PEue&`NG)Lmu_WLc|qr@Z_^_SkH;C&}wU!336q&%x;^EBr-Zz z-)JYyQ?I_-a@;TfZ8uqT_UQKH2Ecio;$4{CQYPM&+G(PWQQq$h^lE^YDs_&gh!dlwYi|8P8c3 zXUz2}9&lRiCCxd+2?Wz?c-UIXzNU%0exMwoRbjJU#d`$cf^epQX zo>$Y~sP3mk1W}eZ zW4<%iVa&RjTn{G*a#HPP<@-C|3KNR?tV>s)LFL22GT*yFNiaA^g!4K|k=__VhNp z?MNd~lHdX5bHIizwf|lL|Ifc(V@M_`mZF)~z!h_+)bD^`;bQnqZE9uBjuA2f5p^#f zDQxY2F4wm_6EE|+fO~-3^p~!$=AeQ-uGFaHK)saOKjnA%FL1_Iq`u)UtDg_tYdz^i zDXYyCR8a=?B6s7~&56ez#BNysau$6n!QPm2mz-OSSk(&aEVSdhefd`%&$nWf(@Rh*2roq($nhaY6zcR=ci2yWRJZ))%Mo4*cEHov$8rap_4=znEfev{;ZUia93NKCOUhGQab;|6$3Nq+XfA!qhKZ;3bJRIa z{W)4PXwc(4yn5nl)s_vXY-41us5xCYnnggvv&f5Bgn~GjVhG(XLiPX6+WcX@BHqF!BKsH6_Dy_qYe`X&u@$}t+RDb{fuS?k@QIb^=nURpKgk+PEEqh#q%y1isi0r*b zw(RY?D%pFlE4eZ*H+%b@+xzqT-M{MIm)AMx^*ZOdpO42tx%K51@ncF}-;fr{^9Psw zr+*Tv|H43x3B3!qE8HIWx$gJ)UnyDNx!q|0Zee~>mMj2@@Kg#JvqZ%gF@5qVa&NI~ zfDMGcMKDeZE3d0>GNq;3x$~t-V*Yz7x9x_hn`Qz5D=3bq~cBCg+kZ}oFlg)nN6iY&#ok#?gykOa7 zzdPAt&V72S?k<)ix?oH*=bJ52Bdg{kFRGqCQkv9bz|_(*D{?X3?KXi;Rr4F(O|`q50Nst}xU=-j*=>*!{e4CO_3$2_+_HC6D48mMG5q@J4B_8m zM|aV%Wzk5Yv>%0|8*zSoZ|-hy2fcHX=HV=gMU7P1=_k5tWddAqgaE~=ij z!vuF~@<`2Nd<@HTD;w_+;7f>02#7wMseC!z*rD!p_4w%0n1>&lB5pr9PrbKVw{_oQ z(6BL`x^DZiFR26F%4E-+_t0w=tHQ3od@Do_ic_2GDr-~iyf#zn#-q7PEvnnAoOSgj z@FtJ(UjL{$vY_gh(t7E(ANaqLTSQ$M-TxF^>FwxHdj&G%4t0e7z)QM|;kJ|a{7Ry; z;4wg6*yeis@=5GqRnVLPEer?C-@bZ=GluQ_&)2iqgdX~Bg;j~Rs!F4;=;t^?BBa~; z50YhyNuL`+)-H7z^wDhh6Jr+ZpvH$*##v2?WTZ`R$f(_O1^j9p81D_LCZLs{b=rucd0G4CZkKKZc?A8wQvkeQYTYC|c*!!mggx%xQ!qKXVEU+JC2 zd&m)j?LWsW<`!k*7_J;+L7?&H7B8vwn8k6U5&3W06qdq}U^x+^D6 zMx3U#L@e1DA5V4YgOTAHfO9^UHv{ljl-!%R+AnR7076EUaK_~Xsps9sPX2+%xYGXq zN-7vl_yeRLA`zU}gU;o7`<|s&sQXb1dJ7_{do73iQ+q3V$)9=8oBS79P$T@03p|S} zd`&-Uwf@{8Iefi(m(HU!B6%n#xH? zK2O?y{g(Hp5YnOkq&{%V{zCMfG6ex^&@$L~bwjz_&g$OD=ItwCNuwnEAwQyY+vhmN z52xF)F}=QWc?(ClVgmu+kXtNzlM(Cl4yFjQdf z9(-jGKw_7WEMff7y!lR4aAQYhNStc=qx-Ab25w~HRylW2ft6#s3eTR*?c_L`*g8zV zx9>CSom5)HttgqchiB+Mmc1+@20ZFp{P@tS^5KF88vyB3ewZ5a6X(aZGUq4}@k z-F75@FXPV+akP6Pcw{}!veQ@>o>wQ=H29u#Gymj{l?f414$wKX+}^CVjR{CNd%Yd8 z&cY*ScU#RdLcF|T z-yzGOe%JyyRV!~Yx)f7Y(}m)wPLi|-*w{)sSr&h$#x?nT@771&np=q;&>oSR_Ux!*^h37pz*M+jw>oYpoyJgl|T2uyco zQQq5LF9NlZyE73=9SXqmMZ|`vjzG-A7M~m7bE>wb(Ob&D0v}i(VyV zZw%zZA&#GzpsDxw_dmY@++HmqF0n=6B9y_`3_}Vo%*x4aeWtslvDvd*@%4XACbv!- z*o51`8M0jy{W!UVRV|{?@bJDGSUmr`dy7*t*?}o*B_dm9WMQFc{#BLkFC+cSqdV8? zNM)%5*Z6rq$OMO4#Pey0DB0-Mzm0KvZWkm+=wG3eFykb6+o;a4`nXLPDNFx{5B|AmsH|w%xAbD#6h)eCSpQB$9l)Y|t;?-ZtVLr(@<}8IN z=e74RPHZkJ?jd~Vs*QtL!lY#Mvj>c7*NQ}Ua4KHP!9LN&ayV^)Y~Gi5poP=P=A?q2!@7E%7?4d9xI_y%wb7{ox!~ZO96+}Z7U3z7 zfz_@5IGMJ0c6yqK1JK36_N2AtwNF`f>$78tvL^G$B#us{bQ}oC@|x4n`5OxObC)=9 z4wmc6Z$9W2;b4&h^fG zyeBrhF8qtGWfZ~SzkAy<{+X@5Dpr6KJC zXZI)6Jin>mnV;6x8pSNLVchVa5_yRec1G;d{GFFWlv&~9XJ1ZEa6cSmOeIQDamh*z ziBk>?8BKmiir!RZN0oTS1RN;x{~F+$&&Bv;sgyc7^Dkqr%c*g$^ww$8;owU5+-p?- zxYJ7;j@IcDxCm9CgrSIy?#50}?z6fchqs0E6_J=Fud$Tu@|>d9%veu7e)Ld!PI7K$ z$E z+6S59)HtY{@BR_nk#o_bo6W(ZG#B;nu$`S@kBGd2z9q z-)B%`s3^PrAzSbcVdgp6JRjS*qC64w;3q@{V8RvO7+xc5<)QkA9aXs^XsCF)Clrwh z$Sk%^Zb1UEc06i0yV;7LYFx2>OQ~wIrX-x#J6L-`bzD z9wc&*nLK$7U&P@=vuV!kH{nJ%BOw7_LP(rTQf{x?6$;9AOG)~zg!IkH4zcyl1q_{N|I~Ca4K!x5`!*D# zUN&4!QjB%SUK-OXXi_!5+dU{B3=r_=c$1y%W^OHABFith^fgI6i?BaW?m8+8hH5Tj zHn?_RvqaR$G|0(Cna!#I8#ApmXVRJ+@(@aC4d|DKTd6-h3`;-UOXwBma6Lf!ple7&^EYH!=ozL`mj5W|`MA=mg-yx8Cd(ni)@aBwfnM6(5dTDEY97@!V_px8pAnR`5 zi3sIW>~%yW9vuu}AxY!|aenqzNnz=wr*ii8@YW-zr#MI7>dU zvwYVYI;xZ1dZ}fGTUYA~I>k!3K4*JxXWzPUjJ=C&f3<`2 z=PQTriremgl4^tl7dgd{xF_Re-`4jWZo3*-!+-Em3Y;p@eHB2h5TysGdp3MTJ+#U; zmj1m3%L{PiaCFZJbgR1B=}6$j@~B~c>yX7N&CauJiW& z2MPU=y1|PYEqgM)P8@;#q81Wz*8!yH!O|`1%dv~*34_7AFZH9x7%GJ0)|ZzA$c2NC z(v6%@cLoi`M6K7v(v5Tr>RqTT%Tce~kq9Oew>9PALWdX+JN;|er>iU>0|jQOSdRKN z10JLN-Q2x5cXSjgDhkUT-nA2Jotcj(E75uF-H#QWW^^4E3 zavUd;Qx7PY5$pV3m4>x%-?Y;KYZ*$(H1^h3V;b(F+D%j};uM}{dx~doxQ5jBz{67> zoK+80SREN`8&v`!Zl(s{Syl`KCXt(?nklJKD{i&f86l)LI*5oA(!1pj7v`#jV1J+a zPJ>e!qYxbulfPR)dg-9Rt}>YKm$E@ytY~6ao!!rN6Nl(VzfUF_CH7RwZYT2lrMBXz zq76GXhA-{d5u@1l(wX+!2YO61gHzw?E-p2ETOd=Px>R&{Xp>9!j5Zi1T3XZi#3oKg z*WcXVT`JDj$5B*c~$;4W7uf&2JXbh)!zuHpS($Qkmy~kN#saPL+$w2RjwJ>GM+v2$(Q3lZB!te}RnBtDSA<(S|(hQC* zl{ATk<Rge1^sGqE6R9 z;TV);dzK*V6D}ZeQLcS9obLNc3o(kJPhvPqY+({`WiUSNc;dTl*lwdRISIM}NSxgq z$I{aORvN{68pvQjlDI1c7D8NOx}Foe5`4WdRW+K_`eh5vDG z`j}|r6`XF>xm?6HG#;>2W}F4Nkb@9dU3`b9D7XeUoCB+4_$kD3aX{a{lGxHL?J4F0 z+SQkwEs$O%tGuuSb0NNVv5#CD9l#rW3G#ZaU~iDXY8xBH!B*uO$HKk2Wm@~l(>E2O!*&w1X4+tEg_wTex}=TvbsEK$Al3iXv0A$ z2+&@k87hpeg)g2uN`ZPx$XVA!EF;8J`{h}hdGrMsR4WirO$J%#u?Kn^xk?2^XNS*A zXk03xi7HiyJlh{$Fpze0m||oYy_~@V-nt4y7sYQmbkm$?R5i}Gm{y=-i=pHKE!IFd zLGbr|FEKo_Ce)|g@eszeho&kzFPiB)rGu=;TvBgAX4>N-TV*Qh#4q_PRjl`0_V9#2 zi+s)1QU>-Q;xxo*WDYuiWd<3T9;wz zC58`=KGZ9fbGN%FmQK!5j4c)T&>vZBs1@?#E|W0JA(ChIf>#vu*NcF^#PuO@uPxo@yp@yUy)#f`L<+#!rjD*v` z!2WS;H5wkqj#m<9+(Mq(qD(A@;E33$U4(A@0&Fp1FR{lmDS4DBko{R{^ZoSlteXz z$$`!(f840yaOzc5h{&CYaqbHh3=6jO6@U1u#8>0J1Y4a~2UCu3{+nyD-EIN~ zv^e;zf-R9z-(GT5?a}bxn@5QlMDI;ue8T`I!UpXkf7wTe1%mCmzk zL&)4o5TrJ@(DmF?je#dOGx`kAZ>3Yjh+${RD!Nfc z)wZ0aBbByV7}GSa)T6Llm}^x!B{8gJ*)EaD0V*%sq zRqDJR`0R-M_1hi>{|67ALXvZ3fxlq?K*}o<;aRN$(wq{*plYjb{Lu`kzD_HJAt8ef zFzpc%2}ebbxw*e>PDcctSSrxqRBd%Vu!xP|YxCq#9Svl5cb6D#Gd`OE0{o(hw|lId zp1VD3Bd=eDQGNVjouhrYX>b#bq^vjR<4@(1Fs^)R{PObPD*b@^<}2p0ADCI5;Ii*y zQ8yu@KPG`(_!k^TFa1S)GJOvmc_{~C1mlX7E)jIFVvOM)20Qe@`bKz{1pgOVTF?Fl z$yi5Hvj-9s|6HbQ?jOpzLsXa%jFVCyss>IFu>tCTC#3#BPp5k zXMn{c2U7W^AU6-D4)`EQfteyjJ`K80Y*35D(4$t=RJjaP*XU^Hlqd`Kh;Mxjjc2yr zy&XH+C{_rn*wc-68oUbr6q;BYSNaul`Myn#I5Kbq4vK8PH4S>JP@6Nr4`_8LTHcsz z{;GCz=YmoGx7{H7DxVxY*v*_ch^mHT;s~HVeV&c~^z+L@!m&=@u=v`mWuHjg5=A<; zTrnnZY_xAKT#b1Q2E(x%91-&hWvx~bBc{EPBUoRo`2APOL8VW74%fbz?}%(K-(z)e zu*$D)V|guVR@QmY(dYB03x(_7$=y)N^e62>j35vQ^H9FRaNYOiu*VZzvCT}=02 z9|pO(-&m|ve&KTIr7-~?e%Mvf=5L5-s{KR!xUw?T8x?cl!DiRub%S)e`Y_R!v%*h~ zg_E-ZFQ7{jwDUQ8g?o`pv#l&N4>0?mUWlo(oH(Z4%V$CS%`4<;Q?l2FkcwC6p&Oa~ z7a&Xy?PC6DqdY~q$mPv~#KU-@_-u0OO6<+X3;L3~_5}8K@WVhEL!Et9KpOSfkwBtZ zfPqIaDW<+vR_&9Van1b^Q15}(u}^yACcQd}uigCA*4kgXuq%sx6&?0jw8&?egMd`v5VS_J)drHkUN(rvsBWy|pdLMkW6U*CI_f=NuzXEPO z{ZKPf9~3+I8d3Y)A#L7vh8q|Mi@RRh8zjnm{|X7t~$R!$Z>E3&Eb zoF|`sJrRv@YB~`;VW-T*wXe6Dm!}(b^Z4FKpAmMj#JAc)ypp}dN8aW#C*;)Lmzz8C ztq5C<8IlwZWIsuzcRI&A0scB${B>sBv>y7WbKlO7)7uw7OH-tA>vbq0TJtG1pwpiB z^$K3fvJ`tSmMYC}Zo;+?oPN)%346g1oSL=fIY}qFmF3zG4$tnL+)p`@IRgBMOY^2N zaRJ$p*>?hy)!h?cJl)j`w^SUrFKWiOANr_p+9jaZ_kA?%Z_(N zKS-96+&?)-!R@EQI6s-dcQGNZ z7%-IuP0>Lbog@GqaqO9OhFJU+mymoliN^g5lY5z+*9cvodC>2RziZU8gD-L@VFMpP zX$Cj(xhHfUimHf|72>15s{R8Gdd(x!B%r!?9HRhd+CZ7Bb?lKIh)+Wqa|!f!n|ZqV zgKh(Nr%+Ty8BPX$$x*|5MMiyYlu3<+<7*~~&*yIlHI9#7sLFkh&s~{uyLmhp4H*SR z(rzqxxootAirbosydI9vWr?XynBY^@B?|L*ooHEvk>(qAvOlHX{Qccf>K~q6WC4S0 zPKlxuaxa48mLwkWLwY@n3pNl}_*47J(;mju9i^=63UWH{S;hXzFNDMF(&6{c4k@6g zUpK)oB0qA$V2F_er?{C-IHl4V~ zWW^RneUN03s5FF#|5C91{*-<7iAH-Y0g`Zszt2S9XwUcTPbWvg=01-Fa=H$OA2gv$ z*{297--FxVl%oitTTf*nvz&G|Z5{lf$Bdj@`4;3Bda6rq%h|I#IgV@ zfSmi@+;uTdg&d05FQTw*Cx9YqYvbk0NJd<8q5D;9dG;!g`@#mA)>>On*vl>q6?_@f39@ByIx9X z)Ol3HIiT{wpKMvie}OAB+^6b-=~fLpl7Ax{_yJmGT=gD* zKTslUCUjsLh5&H{u4i~wd&{@=CsN2OfGMK{+@D!k>O@NzP_Fr3meS^VeeFzCTw4=O z&7&krt=N(q9Bi!kZ`7Ho_v&&6@^%(n1j+@#4ng)K1mRO?@LSBTgV zwD{G@qdE2q0OzH}r}(Y$jhCPwB$rho7?h{u{$3SB=I-?0r{@!hc>*`ku8EdOCPE!5O`A`m8u2 zi-;eKZ>$SMcvZc^BkdA>FCw~A%ba=ox~gm;FFq+>&_wMWLkdZTtUh&H+BuQB$KzO8 z6S_R5&f+cJ0!qOspU8OAw9bWe1-%1znalCvqHZCDsz5d1g3Hy*%_0!s&+X+7bi zv$M0T+_iv!eSeF++WFE(Gm*XrLc`lcIWr6iV+gBu7KKn4j)MCO=wSQvkP~tVslC!+ ze}jH&Apb|_$s}7~sxTz|FRl-9Y@-$ZL5N54;3q)!ku)X*N6RS73{Hq=(Ls3M4=53& zfcLzB2It!Ie;8!!psmcH4f(I~&Ne^bd9A`^bkLlfDkwn9RK5UN<7)cI2+jD}mxv?V zSDtR*k1~W1E(v<{&y5HCpcIS)9%hPj3E-E6j-g_pcO2&8npWXOKrpL5IttNkLKM{P z!f0wQ5l(;Xn#pP&Cy)L`eyW-Qi^|*jDLpL+@1IX1CiM8` z=HS~D zF2N9=i&-u}gcNt|tJ}bR6MCKJhD<-clFimp+?RO%_N`rKifkAB&9r6*zs49LPM}K| z+yl*@c69Q>`8@25iNDrEu+*wA-=qm}fPiuy@L2>8Dq|XN8e_hWsg3*NrL5w($P}8$ ztgg}O;oG+3CCaAEt}6f97ND7tMWZo~TX)-u9%H<77$NFxTOdfN24W!ozaxVWoeFz+ zeP^-8uIK{#yU@D=Ac?`biS0~BRIRGx4bllCyb+C5&+KLOv#J7XM85YAul851F{gG3 zka(J$MR+Ttja&tlz;Gig4wWL}mUkH*t^>{-gf`i61(6iq4AxUzGH3+9XGp1Z0hw}N z89zjw(ZMw`^(pfL7>XsfZt=1Zy$+x0W&zmn)v=AjzFKhHf(NamILRr0T_ONB*d=~!dEBoM@yL2K%!6kCI{e8WOcs)@&_r^WCFT`Ilq3TI*2FM>DtXQIjJ@+4%&Tc}wsyk&nmTl=*Y=;1?J=Fvbr; zmS9VIyvB({R&EjUFJQLWXs$;U*snjm^~w&g+I|2}6>I`xncD>hq3GjN=?9?KRZ!A` z5K$VJ_xG7qDG_j9kUdGYQ>*c0518uWI2Jo!sdOi=;>>ImzSRo}B%7wi2vJAcLXs+~ zgLwtMQ6q#1#=jTHxa;*1%5{gY*$LV^T_KfQK2ur$tWSg>zR*PNI^^_CNCdi;4NvsV zTRA=T=VK)S>XZ9)tn*k{V82GNTIr3AkRuVxx{9#El@F5%8V3}5_aXHxunkB~i6%{$ z$?ITxWCCd~judYJaI}Rncc=F0$9m1K`2C0|P?<0v<$em}n3p^yNL>TXO2~WBX*z0L z10NdZ_iQOBO1=&nJ=?Eb69$n1OitcZG9Bm^8x5 zlTND;qWqH-=i2qp70A114(Jc=fYXUP_2-oIf^OiQ)z8*E-jw)!XTlg?l4ENyiqo(W zKA+Pp-!K>{)YoIZM)BTw#%w{#|KiwT=;?IAWfDZNCfLC&WqCKt004v05^{toOf!u}V7`=n=fD<@&IDNkJs475~1JYiW)2Tf5iGH5d z3<)HwhliPvj0)u!FqwuaYfm1RV+vM~DIQCriP3GA_$L5R>bBS9W#;2sK<_yUzke%D zm9ShAko#zjT`?N(X}iKr*G}=S!11;vgV*I+VaQ3bv%33TzBmCo6<|Rk@(rdoV=29{ zeqZvLVMeIR1J;#+$YAM?5l(~r->>i{G59zhNok3lKXwF1bEz|&*clQK0tY2*#4=&= zt87>~kaBhLnABQI#-LP_)}2sZ9Q)ieVl@9V6buoOnR8m;4g*LMT6GlI=jG;K=SS#6b_wX_ankEG6

    0T`d4W9f5S;fJ5nUic`mC z2z=fM%sEMF*7*bDD$u3I8BA&^+{9~Aq$3~<|GTCjF`uXl#s*}T35m7IplvSq3$rPv zw7M(4|6f?otbu+5^O8&WB_k?y{cNj2yt6zf{d@JMhg4vwI2*N)(vQM8E)5(u@6=>&v%$UT6bf2CvQSS-1nk{U`&zEIftPh3@7s z;tj>bT+k2$eg+rZ=6Jn2VlO)aLI|xkk7zmY2g4|9{!eFniE}R=_i*yWz#fzs_)h0+ z-@oShedgmwfYew(g(SSw4WXs>`g+I#Xu5E0V!77uuWW!LaIS^kPdLnygmw6y0zP^H zLENd{A3)Dj+o2ygvED6I5SuWsclJwHhmy@+Df|D5O0<1TKuyD`f4;o{C{FY?r>LW^ z<@E|FC{(#5CUf%x6BV@i)zjMK)1Wc_j-0(BUkWmt)jiUZs3a3ql&Put@mWi-oF?7o zKOjDFjgu1E-hRytITemR5c@A0BJ5mtN-*Q7?B6t0aa0%?|4Ws zutMWe@zO*It!^Oc{}p8H!qn!T?Mz*BA$QW1jY}qE)6re$EIU_MZh+wg>gz5F&nVmklmCH*A>|$;%mH*u7JOD zGe~moosLR|fu$UpYT+e&wTDy?Mp4boAbMWyO;MegfR>f2QXm;L=U9+YSU>-t?RYivBFO(qZqIk033y}n-IcK!;%pB z1m01dbK5IZC8FgX3TP8EwQ+tf&-k%lchfYr^?*J6zXCC6MqWQt%O8fEUgtj5!Os(6 zZt`ICtW;3IS((ZHKC8kgcXDUxjy1*2re5b>?xlabV>_WfzhU&F1yGDVDPXUoT;~BL z?(`s^%~RZM4x$-wn;ttCU+li_kDpR$F(BV;oQ~*l`vLQD@x&@l4NZ4SdXy=&RpUcT zc(bJtpiqT&fyU`I4~xVf(b7923!#`5mxqzG=s=J*1Rvxx)LbE{Z>fQl$t0-s?UV-J zp_PbgKLgUoN{LYe@W26FlIYS9@dU{3>Z`I;b5bRm%k@W~4I-rO zyWfaVeeiRa-)Inc?XGYN9Uykoev1yt^3nhK4fjlFP8D)iPA|=|bUTf5M~%|drKI2| z0A2(~fa|z@%mH}J|4OYi@kXw)b`w0Yk-^JYwT}qXaBk9y`VuUz|n7fLJqX35Xpqtl_BW4@Wsd?b(p=^8sW78j{MtqzXI*KT>R;`uB@c@QjO0 z9P8pR?=b5`91pzsK)OTuWc8-cl(%GJldL=)u;{9G_ms_dd4OG)*EvCmD6XFVs1_C| zA>j7ZEw4MSbcSLc=W$`5OVt!@QYWNHMW4| zsBuZ!*l8Sv)ZkKJ zH+SHO=)iO?npX-MS!XmoL3VgkzRLh3n+SvH?$3GUigdrF^o6Y-mSh5UKp33zzH(c$MzF98`2bSK_% zfBoZ=ZGm&xzrw_(@VFb$dUcU!t?MGnda3p{`ML3NqjlvxYj^8lKsI%If4e#v%(|8D zTr)0q(ISsC#XY%+n+8dzMcDRBR(Vp{Rr`u(GN;7L7YRS=J! z2h37Q8W~_z2nlPY@94YRcN!qy_-eoy9#EgSpO)YApZqYI-j@#uANEel6)3UL zdwQrBYhDV!>Yp~7r<3AvtNgItD&yyrdR%Me^kW%QavMHXdxE>?o^IX!=M4v0*x~+c z_M;26zjj&&gS)A-OTT|f{)&r!^dL697~8<~#C*{;!Hz7aLqA=&(SzBka$Ru7QE25+ z>}l!l&5`q30n>m4r^()mZlaj+%Xi*uGdwzsILiL`scNge+L=d>O(XvoKQ|94kv9Rv zS~*U6^D_*6x$#Jwaz~#!jH#~L+WHbk7W#cF1CDdZDme$vGOn)qZmW!;+7vs zId;asS;c{LE$))xI-xlOjeUDX>jA?7;~uA^TlV*vy*&u_@4(1?dDRhVsYHH!Cp+JA z$v!*&*;v?|`dARK(Z|sAt<;MBhvMSc(CEW1_n$&TfMIiiGbpCm?qHo7;;*X3WLWzK zC0&7xr~vg0ZKc=UZ5%RKi|Bd zXU2SVRjJp*wCN!`NWrjtB}77$zGR>H zJBC;HbXdcWWXCQCVCT1pR#*pXl~F-M^QC?Xr#c?Vw+kI$rScL|Jv+GUvaFb%joYdX zxb~#eQgDxvkq0>1YZwOk-ymhn{8RLj{}un^!+A}`WbEwX9FO?Ss~rINXDZ^f@(>>S z_UW{zaGP~&xPKZYE8^HynHU86oaIdPSe^|fL3Q8Kl_Zm*5?r)f+gN}U5b^}8f}lGN z!X);K!iBj-eHlC;jJMD1wgVgn)B>++=&UJ1QzMYNGQ9|YrOKB>i?Q-*{q2Up{R%T} zpTx)Mj!u#O)%6dntagfU0GgWKLvQYwb7i)0{#C=|l;-1e|F>e^)B(Gs;%!;Yil*`b z#eVt+_Snt)PbV|f{I$;Ery>rF&Mf|ZB*aV-d!S7@q~{QqIA3a?oar9sexvn@zw5`w zNrP(kLYCK24ZTxD&5QLXq9r}AU30P4CD|IUl=iRqC7h)aC5){NQ5)u72B7fF16kI- zKlto*A)F*P$VZ!|vg`u%f3Rn1_}Qh#EsHt=#XSy3Yj!}~?bnhK3Q)%12wrmg?_uzZ zdI#%7ckt+x@u$z=<*}q(yU3P7QH!KW<(3=xf9YsbbB##z!Ly3t40?=$3=?J{eY|Jd zL}zf4jsE`gYgh95JB z55br9Ak~H-L@Cw2^8DWo_ZxlNOc+T)v2|GRfKtu50JGjzxHA`l!q6_6bGh!XlRCVd z2X0trx@nkU=#66tAAXq2Ggoi>noB}vYWL4!$UZEhad0NQin(T-eA4V%x@VD2_iLV; zxhepL&?R%@u@t2m7u4d+tR;kpK00fXmp>}hZJ&o;D18Q;`%m}Uiby`>7-b)r!vx^{rP!n(3N87@;8z*Di}hSsTOaUK;W4JQV- zX^Q^eIaE3OS)jCYHa+vA?;SC8E1H^=0HPwF-xzoTUWZp^H9cQN_%}z|iZeY0S|M5dj(~8y(Y~iXV5AvAS&W+Qm{fgaN)gasBifD zkr}1>#-47BaIYa{!${*n<&M+sVvChecr?8L%i&l<|?chxP{2`2On)y0jxx zBD<}s^U>+}0zM!2JV+gF-T9s5Q+poF+2>=QCou;V=5!_B+9!eP}$kXMc4x%uJb zi=%~nJ7L4{)R?DSP2pev;#b2bS*Bm%Ng-}8VDb?*2jQg5qlcpq(!9intRnhO zV57dF>y0COOd4=g5aaf{cRcx2;7G-Wz04EL98Y$w*piRc&)v%GxMiub`Fj#=KBwy3 zpuJv%F}QbSYEASGV2)W|b=VFm`yK#~`@PPNS(%Sbe{7zX66Xi++7ikPKOB`%;-S)C zE9xKO?0-U>1O@W?e7u;^1*wJs3X;NRJ!-uW1w zVog1TaR1ctS}b)+0a#p0gvtX=#k&THjb<@1l{vk~OzrM)qx5l0we zT65t|sXHYMS!wl8;x(MU=~#=^w7-14KSPVmIs0El%%6v*YYfp559}{DV^0LVxgkiV z&<`3goF>{bu${Ei73uIS#3zhYaQ3|)tL9JN0G-zC9Wm?P1^OCN3Hfp9NycW^U-Z)bEM|x8 zsCTo~rheAg3v;iZ7|Sf|PAN&&WOwB+2QS|(nqld)O^~r^34d=8?h8u56LU!*7NuT1 za+@-ZtX@M9gr2MzT`^XsiK&&Ly&ZeWe`8C7(Y9|1?>1 zG8Ue6Z~z9&IX7T01J26%nCaJz5ucOPGt&FQ(>B(6Y9}eP=JU?;Xp|Qd{dYT6$yxmC zM6h-@IU4gG$_Oy{h#=eDKF6nzJNCsGiwQY;Q|%b{hppyo$Xq(maiUQ&BjRwhvL@a# z%w%x=h#J(o0Loln!kXSEdczQ+6FR}*WdLL;@G`K*24>?$aL()z_WLZd;dCb5V0VHK ze8ox1@hq60E$-GAZyh}1tc@ci@WWA=rYamCn=QE?Fp)x8?%%b$PKOQboN?(wFf0v{#LUk2Vc% zERj4r(*!6I!OQ#lRNjXY61Y;1wbkfl6Q|Gr$J13twbcdNV5LZ*2E{4Gt+;CiD4L=v zUfkUsN-4#yxE3f5!GZ;+xVwblloH&7zuWJ<_4vWcC2MhWC+EzW*|TSlNx-a0!ubei z^o36RLy%u22sn`eDquVK^s8k}NwbHKaMv@Xe})SD)vUi_l_^QD8>ah19hRVFT?3bXKyGB1;hWP3HYJAePfWT&PShh~Oub_A> z<5=A~>wZ07)_uRj3q0u)oT$0iPgj+=HFXF#+ro|!eEqfUd^t@@Qa-!AqIi1pH|veZK`6ZLUZ#Oc zgJ0^}!VL4mb>yhi^skM}4~IL);R@|G@CY|e&xyJO=k@1;H_PdmHhc%m66A>2pu<3H zD?sFkXmMDj=jRTf1M69;^b4GYK~&3%FV)zsVVv};VMZPBmW<~knC4n9fI;R&5Kp%H z(B#SgePH56z3`Ve;$osZzP>8oy1I&fbQ1jEBM)r6D+>ke<}3t~b||2G5V*7uZ6nh5 z{Ed6=KS0cU>}L8qlS^5lp@2oaC28_d{Cyo&gU8!FqwPu4^GleIPSgBB+h$Z@wb%R2 z5T5;R9Za7n`P{D3LRXkp{dS9Q=c?lfE~c5?)-1fc>=AH&nQ-2DNWBhBt^ste4n5h# z#}X^(fYaDS@kv=ZIMyGi<^ePo*5+8iMFKx514GnW5n0QS$n|o|~g$aI8Z+Pr{$&ypw zBEq@opM`n!6dpg~`yUTECxQ^5J8i~1!AMCmXZ`nNkyW=8n(o8apwEI!(GLPKl6aDV zj$2qx_3$AK2amD`IFn(-$&Lw!B5 z32+Wof5^Q19GJ3g$i3-z9%C!K3Q=9zhK!pB+^bZ#QRz4Nop(7`!u=Bq?C2DLTw7&^ z`Qr0ycyC%%O*Iee*N>Mujt-T*m{Ny!?!o$CsTjtG?L$Q3SZp^Nq(VJfapLMKfH@lChm%3BEme{wF9sJQ* z1{m!|z-|!FDD6Dh+dsm6Y2z?#^e5RAAcX@TL4W(-$3^IcuO#^Ba$XNP+5K~0E1J1) zkPx}hP#a;k?S$qRjvN%d51K-q=FYn6GNmjgjP~5VEz^cvyd?T+=qY8)$)qZry{Ikb zxGtLNa>bhQ9cJf_15d(YAAL(#XEW)fm(?7SY?EdyWspGl@!4*W&HY@rr*Is*VZR9J zRBG~1_dUy}nbGx?1pcCogSEvHOvW)v(^jL~UHtM}@a!@zM&4S1%aaJEaYREb6Br-^ ztnyF-W~)qXCY{nrHCSqu{{bu?%OX2K;^|7{s_q7H9J=|l1z;=EJh~?w6?+Awb#9(- zS9ihos)jA7z2YUrXhCZtZhKTp>I;y4p>up342YZ8oBu8|X8diN2di25lZ^cSkttn5 z)mQCz8U~~m1s=db%2tjj%!WuBP#tPfgP^&>IoYtg39uUVg4mWDs(q#6YPq1TBo)7{ zfJy5U7A;PoJ9LHnKep%buR(n^(yjX$IjnVo0*-&?-Q(JyNy>$Dw z#^HtNB;4Pdhf?x9nSS;@pV6+XPL8Xg+2N+FyGI*P$$J_%w7lR~SbCQM?ml5JuPoUV zV=~x_LE2sK{cU9sY`~Wybk~2jdO2uAG;j6DJf`R-LBC2gBLo#-KzlMA%sDyTZWQX! zZNk3|zJ}hooy-4=RmKKVN$YzVb}90stsn{SMUmjx&-=<7&ZoHGalZ2fhkNq!D| zEdhgBiKUsB1333!MZB@M9_1?Wf>#q?Z1;X$9h>4SMhM>s!Ij0r8Rv# zz-Tc5=_%g#4|S^f&)!6aTF@e7{ut5mfyUlX`88>^?y`9#agXA{F6wd3&7oAbb&bkb z39zLhsXvxbPq${;=}b+#WRNA2J6ph7OiU(<#E-~&?(hJnrDTyU24T|^NKdTL z57qO0*?K82c*s(FtUy?P^_xfoL1Y@)qU(+8qd&a%KC4~&2hh<#Boj_AW@pYeYIXQ;c))Qe0I3?h|FKpe}`8yMc-pjdghJ= zJ6>Y$SI&X=q=EaB+qfRO>lw3Jr}M|1!`7W5zR#8GBBS4i;YmL;@}ih|U9FBXO}AY( zRk_zcp)I#-w23b`4*wGZn}{iwb+jc7j1lAlwLiAji{UqCQ%Vh`jcHsBX>BwUSj~6M zn%srJvu?{nQvGc8wfyIrF1t26%*>>$MW0wSEb~E@7oKMe#MI2vkjk}*W{iY9|1QYB zD-pF+t-RSdqS6Sj`+i_<+44(1PL_ij_3@d8U`W^FTq8;WIyo%n*8aDBkVFon0tM(1 z4ENRioIw`5%2L?`@nE{0L1YNhkF6qaxAB8R*qKM1C4cV1rW!`G|k{HO~z*`|omELBDuBT~U=1KZclH#hyi<|?4o z2PL-q{FFh?FKs9_m=2!4HN(e}PGy=au)PmJFFRv;*W&v$a{Ws-udxQF|2SthFYCHB zCoMrdnY%IUrd{a@YR;xF_|1hR1%L0f6HAd$3!lwSRqW4z^=(Io0-7!p>YmKOE=*2R z?X~LIFP3!qJ@)zs=@xjY-73jL2Zr5c+opcuZmw~aSFKRJk~&9}@2cJpm(PCPP~U?EALn$_l`ga8DqTMj%ygb&rHrf2+&_!I z*2xBamLt7xiP;Z`$ES4y`h18BWA$*;@XnkJB4mdpe)=N%1*_TeFtihhMXe{Y&zCDC zfGr4Gzm+=Qx0Tm=toqziOYZ)j>)?9Du4_GT=u5@fN7Y2LS1au=I|Ez(^PPR?N2hyv zsKP8W=yglDwEOQ)L-AXOq0rTbhIUlsQ&uaz%UyEr@Zlqi)lhhLJ>{+-QD^|6<8{C0 zYke7W=0j*{6u92dBeNx9GCy$+$C+XaA+h9705W)aOgDb?D}-F)`2DU;%;qiLhon(|7oOZ?se@z(OSH6pGwhz5f=YA{<-#D4O;g zpB@jsGztEXO2q4E1R)_<5O~CFO*M%MMC>@nTAwzCw2T*V+DWHg_Y^FN&LH641BJNr zOM#rI&*Jk{#|ZriyWy!lCfdl~16v3@LfHF?anK1IqN*=w&}(T{_pi*w!F!`peg(7- zPu{@UB_>|RwWY1rd!u*WIK&+y$=!7MpGRwj*DCr5J9ser-r!J@T~+T3i4F)Lll*!+ z#N#}^A-Qg;J*cBEy+dt(%puFsuGjkHFWN35ecoFC3~;NzzmSS^S_*k)$dLJf#_K?o zI)SupIsYID!BkRNl96_(kKO4+@U^nkJH*Bi?(_LRT{ed)K{fNv&VVkgnErOZnjMz5 zK!+6rJ8Ea-`yhc|aJXDZ4}8s__v2eY)kZoJnSw+%RPAvgvUg@Z?wjz9F0PAH9H{Tz zU`Lu6FK6u2o@s3Hmgb_1h@7c^X$ht+VZ^^x89<@N_Z<<n77A@o zi|_sIdle>c3AU8#*(+|o#wZ;e9Fn?}e-dbsw|5{Q0i&nj!+maSMY%KN{%y~L2Jt}V zJgP5XxTk^T>?ZwTudold2)8xt3@trOBBg~pA+BTmvm-LguH~PxWt;2IB7503b+-}#? z*}a?r_p?V`NROC#GNSW3i*+`-!sy}#eD2EL_47hFTE;Lj?$x_iWs{B2!dv}8^WK!N z0X@E+XBHFn6|L~7z4cp9(8t&C_t$8wyeXyY75X~puNNzcuPD(xDiLo(x)X_Ks6du- zsS{CU-^fr+pu;EfA^vcRPJ5*s?}zOczr-u5*k&gS|H4b!+1 z#A6}euTw}fIgSJG#)X4*=GF1KJNFxiwJp|9340&*A{z8Id^AY7Y&m?WXbSOm!makU z##?EHr8P(dn*QtI0}et^AUhywZm9rJ$pME+5c5(g^IpO^-A%3+uLEmUZvN9bCKgcTB5zN8}Qfj@` zLbY{b?32oP>dEuhg<4TNiG65NsP#|B0bN;MeCw$!`LRNNKt;OmB&wdx0ODX<8Y01$ zH+=y*{kaVkYw0Z^oXe8q>X#NqWiNaaY_he#+HlC{CA!x{^aKd`d#@G18f3*LqwDW zoI<3z3=}}uvpw?CcShP%WF;f4NdoR0k;BmIsDD%;$(^|e#I6g`i~rzGX@b?H75mrM zhrUOJlvEPD(D|xcc!A|nH0hDM>zUYu+wSjA%nbn?Dgqo9EAGE@w#2Q2$hy{%rr7VxT|wL}JMp~Qe4v3J%Q4(pSJOpWC|%pnOHQ4Ww)y*wwS4;v8s z`bc6C1J4J7IlloUzfBPG&n+kwfN~8l9bu<<>6(_fU3Mg; z@Bewp)sAy}fk-e#NFP#Dt>PC}UbuXcYeE3UiM{&l414$MKTCV9Sxqikg8m*hETn2F2CBxGV+-yQfs<0;d$+60gOBDbr63qNaqxh0`pB;D%S56NjyTGwdjHRc^ROXT74KD#(*YS9;1 zpF42OU^jR_FGqKc$-1b&C12Pj7M^`2^@l;6h-z53eZ>`oLc4Qa_5|#lUbH8{lSb6F z`BjX1n`xw?u&iaa{aL>lUQw`u+UbAHg2puJM+!_*Y4(2}mhb@vEv%dD09%V)nP!Uk z-I^`s3t2SThu$iu6(O0)cZ_)nLgNn}Dh-??^a$XFdh|+k$L|Hq z)84AkeWqIV81%^0hs%3H5MUJ{0^f_%llAkqP*lRI{8uYwAnhPo#UDL)nse7*4S0ch zAHK|SxIAu6QQUoGc@)a?$g>IyB$26AqYEK+g;o6$#i!k3k`8M=VQyu6+PLWyY3y0k z+$a8u3)*>Exp&b@T@i4j)vs&8%@JlMsA3w{>h&Xc!k*Uhcvhy8Ob)y%-K{dto0q6GwD8hZk`NYl)MHYft@3zvv-R8_u4gX(Dem2J zLAsr($R{|RhYRD+IC3rtVFhn1hC>%2EzMcc8pqrMHQYY>c#gw#U)+m9^E%Qm1?{R9*&yo5>=!V))8M{pIlqC zN1Ybytx%-aI%Os!LU1}P>n>`i*xoej_if@ssv8&luf0%al;oi%_n%Po*ZPaHlFPi& zo|p0yYy1&-eCyJtv~Za5_O`2-RL7aMz z74l^7Fhm05`gq3W$-Ew5o`g5j-$v9S8x&7}CcOCJr;IxcA)H5ItvDfcozTPW=vf@B z)eQT(Thp)m(E`SsJgO5oN>jj?7PsLu{*6LlwjDS3S#22hH!_iE4WYMSv9X}1Uw>+d z)5Sm?^z6vVqO+Qk1M}6+tT{IOke%dRSfuls(X!z1-k~Mkknz{rNlbTao|V7lhqGmE zOvG7^_s9RfZwd$B^u*9cloFQtM3rSVJ(1ZLYW+&xD|~T&rf2PRqNFeIbE^uDgeYy$ z?~rJ|(&B~R3KGRgy^2}%k?nYK$z~s+9~vC)O4(9y5oID#H(nf1VLQO;<-!u{(t36^`JcoKx}f<<=sRuM(BH&As1C#K5~oyo_l(sBr#qS` z)}*?B*cGlPbl&o*GoU<#^46y7Wl00zAakKRYCM!e=0`NnFQe|kW_^1l)$~U`Z=Qmp zWj(_x5J=dWVsJPf$aALB>}Y-RU4APpOY|NHx|>r_JnKFkC-ymCpN8AQ6D(peH{Ep* z$X8&5Tsvf0IrClHjG1QqFA}c3CKuQi&;Y@QYj31P(@1_!YdO0mnrY7p>)ncpj&tp) zYcN&QT$VwCXrO|6a9$pkdKaH3|F|z^m3UpwV?x@|XN{yeNPgvbhS`n=ye4;M z6Tz<%pfwiMY;eg^G==dOj2Fp|?ZK^{6}ZJ?e9f3hz(-CZB^ z+29Cq0@|g4@E89Ucjq4D8)eS=j+NY%njF2oHO;)kL1=O5y+rvq>W6p*Qu$@NldsrN z0P@njfo824y4)k^SZ8st-#r}Ku`D}Z?A$hBU~DSXab(rE!<~h(Lx#9CQpua$Q%YI; zp$ol5zY|$`1D?oLI8@Z8Hq9WkbqcRABCQ~MLjKnDX|#;=O~yg*^F-PX+!p~lQxd1W z7sZNCJ#Xy06$_ANpEk?B6K%Jeb;MOF;)mr6|X*4+qeM+ z3*?%MPWoK{MpH~$YzDzq=3D-;qA*2&Yt&LKaz{OS7spw zQWGo8MmHY?KUF0nvx zXwAnpS7W(pThNNS8k}XlFsVussq5AkB00z^lahp* zH>P2FS4fY!9&DD#72G8DAg15jd+0l@J9g7wmyn~V(9>`;P5IfQ2FOrFr*;v%^5 z*a%y3$jiJy;)cX%Y`lG$M_qQ9`=qVm#AV1e%8L|(vtfyDIv+Aje-<@wSR*gse2w{1 z_WU@=&lNr_$hm{tuLSaJksn-?j3HzirbouYX2_fw$cgW?yPs)?8dg5A^&XLj!4N}lZ9EFcnC%Ho!C^kq$^@SpP? z!$F|O;XD85gQNwq_GDHZGVR2pd%1dtcY3$%{v(riFX5Zm@vob74hVjK4S>hKD}R$e zU!RExI^|m$Q(IP>xA(gC?mXAs$=;ll=fX8^cOTY55q1Y>i}x*n>%slj{D-BnUXb{jJW3gI~tYL57)O^(Dm>Sf3aLEmw`}I(^;RzPVsH7VR@{k2i z))#B;ep88f|CZMWO*3H~H=cLm>vBni@wMU43SyEfQi4fR51YC$YRn?%ACVcIqPXm- zzc2*n?-a5VO7;VKp}$%q))cf|`*5`%ai@*%4=JaQ9zjp*AKtI`Y*S*abXN?dK@-P= ziVN_UWq=`sQ1WIu#l6h#l!ULCNJ0Z0o(5UQ4=B^MxC&#R^ze8qSw&I?OVi<{UqqEX z))#~J``67T`jQuZN-v=SKYRr`WR_-2-~Vyt{mZsRsM~AuLP|hk;sMDEhq){|EQ6H7 zgdy9}RU#*vpSOuuO_S?ST1lkd`OWF<|6p$9Rsicuu8Q=Q{w@)ZElqZTW?9ZQx%Bu- ztZ($U(iw&%Tu|6XY}ZsLw>09L>TZ^L3Yx#S<@~eOmi~NoPoCyJ`q1j(JZFyd50#6D zoXu$d2%wAf?9sn|o4*{egniem&Li5?|8}WUL0wEtm)^S|-670-%9U7|XxeZplS-ON zi^*wYs=b;#j)iiAOZ4A3bg;nq9%jR4_@A0AKO+Z&V@?k4oO>H>3?=349yNuJ& z!sMb)xM<_DYSH#9cOP$mMS4yz<9h`mF1+3O&S|8EmJYmmX_L$5M!*t%>2mbHe}*Fn zE?tA&g|<-jA%#?Lsv?b&k3q zN6BhHrqr-G4Vr=aF37*p@0NTSIPU|?pA-Zdc8kYE)3OWpP41D_wBOT6m`2GGiKkb% zchS)pMy>d5D=1986cWlwLKYdLpIb;G2`Az)(fW&Vm^+VsQA9JMRVW$^UfjTf=lrE3 zE;IjfE{5q+5B<13*;lZKN#r8rEA)E1zVG{8bA#^9_1++=k`d75*0d_|?_5+{w3qQ8 zJO`ibQ_^ndEUDz(Ao8zVt%3sg_-A^{*u`@Ybg$%16h#&Nwv1yfvzv4zynQ$Zh+UU> z>FP0NhUc1W67(_|lpPw~+Jtl7OsJ7X^$CFDrvM2NaFA!ySGCJ8*qX1h`4#<96T;K8 zsQ}bme$OqIdBf`YL&+kDxikUZ|%O{~dro>6&pm9~^3Vv8z%ef!^CVL2giU z@B;8l_H%#GIsPN1}UYJRq>6PQAQM z?NXVR{u%3Mec1E2iE?5l9f5r^4?CZcZWUkSFS)w|LdOqH%B48WKh>z*h zK}M~84dOxxQr~|j%3LxUEt>sxhAxl`(b8>7NVyz$)frrBqG*q;XBLfm#vPpkiI?0@ zk%1XpecXHyXcVO-TW`?eU3=R3qG2DjLhyj&2siR+OeN6r#`TOW`x(m_O2zpWp7lV; zMCG!n(+B#AeQu;gD(6j!bp7}Tzc^E&Q>SZ-b1~K+tIfe#5zEzL`69STK?TDJUn^xo zi(f(TXq`Uqsz-wXZ|>>7`u>Z|cBkW?3`{|aw%7JD?r3@Vl1$zf=Y_k#m%E+T-S{@R ze+^$DxBjN#jh)(&tSTW_Y1we@__Hu zY%K!8aYA&9VTq8TsNe?E3EG8x4 zlM72#h{pIhXqEc(^_U#{x3nIM*!koY8$A!uAr7%h431F@*bTRR>cQ?zLuQZAaRi+6 zM6D^E%;Vyl3=-h-6dkZlQbFW(CXX(IHG*a=Z{Q!vY!mtI>AhfYE)7b^9QD7B#7E2Y zwEVSJTQ^B5j@#yN+=+l>wa3+1^7s=%#j7*GJJe@fjqZ%9tJc`{Lb19>%fl&Fe#$!M z8wcccH+K$o8op|V4MR#s{3TPl(AK5gGH{d;svF&RMH&QBv`#_f{Nbd3sarmI2L!Dz zfGq;L$;#@ryF8qGb2;A|3ta2xZk9ZH~V-d zPmkBa_2pdN8w2W+22j__iV0^or_EmycZ9oqC&$GY2UwdPg<<;+PD*gT0 zJVE|w_FF>(g!0|pK!-C)p3qwbKCOacNkQm%n0KV9b*-GRG)V}%6h!W)_%j1T#jQ6r z84$+V@mn?Q9ffc6|JG5;uYF8Vf{ss4$&bb$GZipo?U6^ze;o9W6{9YzyH9B5$9F2n zIwzbDq+<7H8^9}Z@6SX&?RB=GaaA4EdZ|QOW`P8dqknj7PAD0>(<+UMq|2Ec}dXhkWzI^0k z7-A)cx)OyZ!5HJbcXw*x9YTTRcP-=w3m*4JW3~lkEuI{!B%+7fYLt3Awmt8N$En}}ku9gd07`H+o83mfCU(X7r@3yxp|`Uq zf|n%zOr3{3u@QQEb%ZymOI6+LLs;&;XnpxNUh-eI?X z%5DBM`g-~L^yhR7mWCeBPC7+PtuFgq0fERA{z-!=L`|9X*d2R1%GZP=1_7)kP4|C! z&B0;chP?qd@G@m&DwvEy+3wyptBmt%oJk29kCf9^o_~&$IbjCedQik5QTDx~+sd`K- z5v9qx75UC(wTG~OpIWF!;J+q!f#0w3qUc=)O{t3ew6AI7cpBX!*BNJ6qI#R7^r~5) zk*||Ieq9tVP3iZsG2OJ?&)*68H-3+NIO`YYb|K$m8Qw0qNdV!PJ+oqhsP5F-I(b6~ zYphy4z9tbkoK-K(Y5{>{1(1<}iV)16)8pCvzUsl$0Nejljg*N!56rK8Oo4-M7dS>H z+W$HVYw}u9&+&ioEh!TCSZ$nJk|9n4g*p+gg~N1m}6t)3mys?Uf$&^CHDIdkD9ktC^=Uj*Gz5?B+DI_ zG{tY}9kF^_FP-G2{LWHgN)X!d82ZXLZ!;mD+x^pvTb0BR(j4y;CXg8^$-9BxQ#TB! zs#_dtV5>O^NVbB{pU`9V5B3+b#kwtfjC?|T){Pl%U{f#MfgqUoMAskJe{x-gP zKGKXhfq%y#WV7hFe}WGHwW90TkGRg6sTiq73sJzfregN zY2ZcmIf5+rK5fbSF}Ll1H}q^V3(qJt!2r3siGt^+ABb5Kf!c-Z1QMPU)In{wQMR?_ z?ZGZ%7pWYr1JCc}mpM}-&W}XhBOac%4gAqxv7WHxsz_Sir%jllQPP03*PaX)o+&&X z&GKaAQo}KY3RWQ{&mw}JnOs022D=!=FGkcieJ0kAkq_nxAU`q)j|R=Zo{7+bcPPE! zBPtHEU4^FDGN@Nn_336%v189n@^5O+G5|rdviX&y!!QGoERLArhllDt2uwUJqL(WuZ?KnzS`iDvXF{peq_wE^CqTab#}UxS9b? z8qUqAig(;APPl=d(*)J53O#r01|?8E0oGI?L}gP{ePF;pofG}@FLq81Pqu5Vde*0d zTr5y~aVhF(dy6((hbWLJsk*1uTtmaAb8Qb!Nm95!T>1W`KWY@+GAhvM5|2u-*}@S} zj4o&X1b>)3lwYMF(M8Llr6?~L6BR<0`B{hqbpY4tO5 z=bqO1FX6=H&D9XbKXA)hn??|iebOsSqyjdm#M3lW9)wPdCy|6sd28eW1_N=Y$-0E} zM%ouQ?3nouT^H0DZZMYHhx+#WoSx<4Egz?IFl3n>W1#3|4h(Q|;jTFv9Xo6RIT3LX{S8wqp@E zLZf8rM9@4P9dU$y)kQB?Il!uOt6RLrRlnXmbfox^L1Ii^G>wxf^ioEyp*ze2zMP^c zzgG&2v`9O`s56jfadQhIRix*akQ#KzI)XKvUC2Vo4$hr5%?8HW9;EOH`NK{s1a!ib8fiXUeKN>cCkYopj4)MiY1M!?rP}z zcqH^#<-sK(C^Bb25AW(JUHl+6sFmKNsW#rx9!r(jXwx)s)cNwHtWQU|dv(VPY+}On ztS`ke=Sr`C9^yI?PaL=Y!KNJVC^lV&=YNxneTvYS(zKayygG>( z@|||zz&p&*LDt0xfs$9h9rauBSZL>sdmbI|3!=U{oT{0rHPJ|QtjQGER4_9gg{AF( zzFjjAOJz}&4%o5#&5!My#3!X0O6Bq~(5U75!LK8-N^=#j*Zo`E|FB_f>$>9Zsx?ac zZGYUrgAZ({y0ectXnK+%@|o{Xx#@WeFL=!( ziqt5i_6`Q^gUM@l%%MCVX^z(oe3`^wbIT8I_mHn{z2CXG-Xz6^7|v&j_>sQYH9|cri;CEA)@fAxW#_n;v?)4UF6od~97)7q(w+AP^EnmAS;coR}2QhlLT2|So#&xOF zJ}2S!te@3efv7)-JZ!a$EWll>?XtMd7mqOS->~Rs1TEm57I{SX2Y1G7NG6huMFC0; zE8W#wFk7BqTzXDlI$ktPSh1N*oaFbXVKF<(y0PCm&nf5X3*AIE#_argm;Y;v?VvmK zI3-`jMI2cf<<14nyxS|Rvn(KE74j#f-(<|+k0XUFN`YT}-4OjdP0 zpWWY|Rabf-s87dw#-8bL7OW?HbT*grkQqt3khz+9Qa6xGJk`5qqhF!*8YUl_hM~QJydZJQG0DT?_tVt}bNZT0!XHckxx5C>Fml z9Xpm&#bT4@>Q2H#%tE29FdeU3g5)q>3-@v{et?Ztn!90*e+MOzsF{6$0s72B?zTt8jgtT^KWszkgCPJ!Ao?eQ10D)4CYW(bR9R2pvoTmip64i%B zeBK%?#0eslzZ~L)yK9Pk#QBo3PeocpI~|5NatvD z%-&+SC?UO%>2t+NrEC3sn|6$7dCVHbXnIk%)xqTMwkQph$Rfuo#7N)(R@viwj(B{?{*tJtK3=-cIR1ygK$ z!=}rq)3?3Ty!~EvC*5)?r_JUvH%hIGSk+HwAvW20!@rq)tY=lmZ$`Fw zr_bd_*l&cB)_5LiKZiZ`_Ew&)sF4P!|GgW>*xTOoVvcTX@Yqynqmna!?dRUq(ZBxMuoa%`1 z+mFMK4IFBdxW?pqPOBdupnXLgT1Su^H;@wm`AZezG?)Jh_Rybu;wm6uy%Bj{m>MgZ z;NVVsyuFlAV5OoT_44ox_rM=cuFv;JmKf2}{xk(s@_39Ey4?PPK3UpwwP6y$pVcbm zOmVF4_NO^x2tJs()TCIEmR~Bi>v{1|d^Td5x4?zFF;rp(xh@m0LOHb-O?Fz!u=ee4hiPMxk|_{s>l9E_gC9;2H&(kVuQ@Y$@AEjlVG>;cgk`geZd^yV zGdX=(KCl3~4HGk>!?i=xlCgaNMliJR^1_3Q^?485+JkkaIge&MIk4i zJe3Y2hEH`>ZbGFZHSg~^RN5@BbK+bETYthT!s)?$Y1IdZ=-6AZ6aC&2EXka0#%m6E z{%m?(#NGQ(t-E*XZ$Lq76dK=#e0d<8_3h@m&8qp4uZN?D4fAd^L^#&XBOra&I$8)d znPczr((!)Te)1$zRL78GLI19B%V6luvYm@Bdu8xm$E}^(3onbo2#byWI^-_uLZ@!a zP99yDJjb=OhLmx*zCNd}pMv(@19R-H+&0Nd5#KWnkcAyIP*~vJbtGI`g?Qg8a4=~# zlg6PWsNDl&iD{LrPxGyP#I7R~?K5Y>)zgGY_9M>|;^)PP+kO8Sk!&b_M7wz$Mvvjg zIF-?jWf>-@4{d(hu$XJ9;s$G&0gxny09X|$P{?XwM`P|CPE6~XTmOb4CWhfbgR?KIJ!jgo2O^Yx-oa;|Wglx%4djW@O%588nfFtK zJUHE&!3NQ~Y92}Yy*A`MV*_zCODNMKARu=O{lwHV4_bF05Bg@PoAJ(G_Uah#nqwj{ zjCYkSLtnqvJ8OA_z&Arnz%6YSx%Cct#U{(-%(k?r`$1lvfwmq`$lAM3?-jG1AeG!N(s*n0Teax z4a2bXf?e(V`_;xw-C-_DkK=vG&}8be?w4H+HuFS;d$ARhK~C+in7}LsF^3XC*Yl3D z>(B8);#fuSZV~|Hi?Qy#GSeW|42=bhzMAxsV+TGQzA4yVu)Z8u z@~A0w3LU^>oy<{dqiGxF=_Ii@9T^PW`|(>|JFRKhUasvO(bt%_L$m9X=||l&DlU0i zixttfD;r^9?K~NVQIiEp(x;ePbLSV1nD@8P-@CCHDep+{ybT!cZw(pW$n>yD9!}M~ zJ~NCnY<#qO%Aq4gzH#SbQv^5rhLGu<3*T4Lz00*}EEoO1Edi)s;ogn}1|pQbi#gXSg1ahNrZ!1XZ%t$E8D{ z_kx4$jY$BwfjGO$ioydm>vr=BJ=XBV8820lo&LAJoiqXtUQ4#y=PA}-qfYo6btmc^ z>Rbo=v-Ym+drP+ruBf1L)fHVT*Sl*To)Nn^+n7yGGAD1y6ZhJaUgriv%|Ie$-C_-d-*{ri1mS`k0#Kbzlt$gaGJP=e;H<~C1 zk^Kv_MWSEGI=4o~N2sh}yJ0&XCinvFmn$rxAyODBM<><}cEhqM3%HmQ_O7M{fI)k(D; zobO1|#K&;Y5VXoW{o5<;A0N;cPacs4B9+M*E`rMiPLbOVRZzke!p&xZ65+ zipv?HM*!N+``TL45;c(>CjtvR8U}{Hv)%o%LcJpb@<_Mz3W`pEMj@)7#(xHP+nEzx z{3QHrMGO;5;or>yXMi~HQ`4cSQUGuT)Q!&l@(&+U9{hW=@-KJyjXf~Gw<3N2wpbHG zhq*+xue8+SRvjw)SQw8s3``P4j#apii61FgMS%grX6dv1U5vvm26Yo3j3)+Z@SO3b zNwP^|sX6|GLJ%d#_E_a)ppr4jKLE5HZE*8x11Mn$Y>FNOG$KF{#WH`7Tal8-eti}oe6!llR;{ZHL46w>94afje+7rqUPzmv-<<2% za}aHz@Mqr!s73?8Y3uPc3w1u7lzcn` zk)z4Uu1J*>N&OS?V^7!z$W8*cx%)M#&e!JGZyka7SZ~WnDH`UZ>eYjI0y5=ebgF|+ zldF`=5T?wW6pm}SK^UUd3=&VDu zYnpmG^#OOpq}ZiSZsPK&)F{2TRLpL`_C}I)>WW^GH}Rncg6~U{)eWo4v6CW-X2;B z`G_Kdgi=bkbQyG~G$P$y5{rl^DcvRAl1sBR(n_UdS&LblynQMJ2&P&tv5D@%kl0PP(Ak~Sxg5rib@FEh^)}U_itzl{ z0yGVpi4}dr3M2uPw>GI=DB#3Fh4#mvM~Sk$~RM30SodBD#9jD+drNb{3l2; z9HeGcYMAT;)CyU=4h9!Y$|b3jCJ+@ZYG71oD-)tG<;1(X!198fZx^i^{DW>Wo5F}uNa6pmYC0rfz6vlzSmyo%V(>$>qS+z&3b-@ zGp5&e$2d+%!|^l@DqG*XS4?{`Hcl(tl?ct&473otJ)N;TyUA)6c%rGekm2gSrNrtT zHMUu-LA4xqKZO6Q(Ua`RH2~`P=`Dx{Jsvwz2Mh?fRxK2& zpO}_WQ&nwq(sib5X;H|n2?b*tk&nYG;%DROl^=l}7z6rrgA#|H$L zJs01Q%Pbs&~&=bE@h!he>fdXl;Py%h7eiKsy=FUnrL@ zROjIkI0_OiHl?aa%+R0)#14TmSch|?ymcGJTy%Q=F-?Z#`@(Hv9vK~*t|Sr;DlpF) zJv!rAl59dMoM*jUHYoMUip{)L`@&YJ!Cm*ffm1J_t5=oFJ%J-w)|~OUlB!_KO8fAa zlX|KBN3?X^EZy)D)YGRvWMgI@VD78s<1J{Ap6IwjBv9!AvCD2wtzBM zM6&Q*zs3i%G9e=$fk$F?|8^_jRQ;P;cq>AI2BjyGgdAeS!d0WeX3-#bYm3z8>gG*+ z*Fb9<03yda7p2yqj>;I+{rtD80&w30GDFK$hev@g+LNFF>u8mFvbE>U0Bx-8w3SUFMK&V9e-Z9 zX*l!U72Gn(ZQHrXEgWnrA2x}`gM>PUS)oL2+{EM6lf&Wd53~LgvAXqTi zi6ud5?$C?-s`c-B6KB|Rt+s4#g($*3d8BxBe+a*u7-g}HnF90^o0U`3xew$tpMbZ6 z*6`lmz5PgGKSsw1uJ-tm_oK$p!BXlTC_NXp$zSIFWsBY^u!FEVsyfRDZcOnh#E$O# zbk|^YAjp<2ZYA3aK}^#`bL{@h33}IPSN6jifSY0J>1Z`aYUH=mH|3Y4XHJ*r<>ZU& zowDn$S7WLeLJG3TI+J8SCb$|SWNxGBa!z5%05=dKpxwJvQee`)PGbjV_fTl{{~EaX z*ws+I7UY;|(7y)lg5~P+{Nfn}^QN=1dYs<#&vZrTr0=6M0QNDXWntqL0PEn*wYCQ`!AAE{9E_2m99nhBGN_tJx>lgO~bI6Jxk2oG`m}uRRJl$mF)_@TgPA z*JAj<)a{rv8b>GF(1OFDLjTW^ZL?%bqq;j7UM&x=`3VJVC`$P?X6<9oIhKeZx@a1> z5Q=^6{uUVqawQu-=ISOI0&WDLK1rcwi}=SG5x?qnuh2=llC+Q2TT$Ku&(&n?9`IkuX#sh z86xgdnT3tSYt7SS3aI_?iBV{EAgU^GaUh5(K_1%YO`wZ?i6pvmO?{&=I!=h;p0G?$ zn##}H(7&F>fwW)d_Epho;jI0RkLjLJMO1!Gw=y{M-0ybB=X|~Wo`CmAq}q)wZ|vxQ zfMOq_a?>WA@UFR5UG|em)(;@v+!RoY5dtq?#)#c53!Z`G(8KeQKt5)nECT zjZcmGa=p4^{U9nEpx5jc;kBc?BGcEDXM5az+i94|t|qk0NpfFkW2Ml5K3ablmi8C* z1+W%;k*`0pM7Nuz>q&)Zz@7Azx;Cvbw=MXtUGfffj&KP|x!JSbxA_yVu@tZ9GoIt% zI{ign^QqAxWvKzX5!`Gm{+srtCAtHX^l?Rr5v9WMJXd&8#eIS&ub~%l%6%@Zq+LZ* zDFUGz%n>;5J?d5tyt2Fb+o7jty*Bg70x7X@qulm4=TuyRx7EG-@yf*y>UV6npG~_E z&)ziYAU?!>o_StxP<<)j<3`eL7iD)_5{I83%>iZBZ^(+?P@dV7NS!Id%xW3Xp!%@# zI=wK+UbYv-B@N5K7fG+9wFSKsk_>>fz&nx|5uF?SUvkqG`NZY?zk=lks*QI^sphxa zPn-SHu1dD&LLP@*oqRBi2|&^aT1SZr`Cd0%KZeU1_3;_pvKhq$NDm(e>xiMdqmA=X zasS4onshn4$@xl)NUGVdw%3-HD(06{8?K2Qv2qZ2?|e00`YL$xpvG3xoqlsTwDi&5 zozGtN;%D^>tmRr8J`hdPkIQRu&ED0c@Vj1t0+f)~bP4@Wy~^^#60|e=|35)yjmgCjUiM6{V`$T83|9yhSb?DbKQfXT%+VJVm`0!6{s>s_;g{i;Xcm2!> zMe=)^eQ!Beij$VTGe(?4)AB|Zd3sHb@k%lw=ujoL%8>CjOgpjqkpa8xjXyPEzo27H zkH^K^Ed4`IaWVh?mX&pmVfB+G_uK|DaW{};jHdRN6%zx`~WRoDZQo8_M~Xh!Qst8 z<<6*sE_6pp?lZ-zP(N$cF}4^!DAj5&8-NCLjpl?@kpo}KEm{Y);?<|Dj$ErB zZ?5m%Z<1NrZ)*YGi8`9&V5yD}Nz1a}^AJfKs9Gh7*l$~hB=|LPy=H{;H8~8YmOoI> zCF0sN@8yUJT`H*`t+z>RpAhlatC4l|uj5CqtDri(c`I9U`;z`~SJj^Fjx3nNx&DM0 zG(>HsKPg1nzD3I13HFdILfh|2vqxhuIwMVpqO4h!cwSjrwcaTk7xCAq0 z9BY=;#*@+9)9za?=DKz$x#HhC)hF?+p@B5*i85VENN#mQ*`&`mP_Gdre8O_0!@rWX z+nO}Z=|sB9jsFgLAj~ZMc)?;zL6mBmRj(O4^X28`>F!*0mqlFA@=?-`6k0BQqkM{| zs`k@VqFM|%3G8R#rSb6PY6u0*qEe-D?RlS%K?)K_34hAEEN^SGK)$I4Nxm#>5`6-|2{;Aulpe2+3d~tuzmNT77wg`dgaT@# zKHp)*X(=XI4FU$vKxCO7`_uX+IDrlFhnBw{)(__^W8MnMU%}7nmC5Z2CU?TtSqBy2 zqBl&OuUlz+|I&CJqfc#5b8>C5JzQ-$T#BEV862j~rHmW4?vwIy|2pzC zPG|nc>7q39{(zs;R?YQEJpJ3tjVQ*`zCyjMRCnTVpCyah;69Gl)GD-w!QkC(-v7D9 z;HCRNVNH*fFKVH{Axh2PcBrG;rn z*yQ&A#rk%UlD)}$Xi{}yMkel_Niv=CRNYd2qu|TA_--A-GEJ5|{R9M%< zwN()3QRSrI+diCVWt(mvEpGwMghgYFrc8@XPM*D)X(~;0v=SvRW* z%@i}q_}hHkJEHe!=4X6qcE5Ltg%$QKB-k;{{bUHnbZwOKxAH5)e=ktZ0><2GS zH=@1R54fxaiqkwD2{u<$1vVZ6#N+0zzA6;AW2 zS~!!YT1mjAk(X7V3xr67zGre_1I<2PR}an_y~B7fYr3&HYKHM#O}sh`@olig_FUC5 zk~{_nP&-R1WNp{v7rL8<=LY$%vzaDE%smMb9qZ}~F$jGs!pXrFHA^`*+-T;t?CcMa z91BC1DX%8|a=+9*-g|>JFK^k1O#S)Lubcn^JcaGN(4KtPvTt}=>4Osnly_l8#qH?_ z6~6j!^Mza2S_{hlp{Yi3yH@c1^|X4edDZ6B`=cZF)wgvQw)2opa}APND8s9d1ndeI zq!T{EFBbZyZGDfAi)WtaKKtCP@|W?-=7*81r`-CwCc0lccuxO1iK5%}<;1+t89E7% zfvV%ct)7~p2=%%Rycu4Z1nJXXva~dm#(5Ps*QxHMJxWwHej9_UX!$fPG2oUlyFd}) z#@#q$f_am|xu!`|hRfVNUw{THtu1!vwfU0w@#kT_DceuSZH$J&ZPnv@Hh$fDMasp* z*%Hzp8)~LYriY$$27Dy7aoB7@HcQve7%d{N_!X+T)M9t&@q%t;{={-Hq0v&LbZ296 z>W4S#89t@Y(+fg3&@y--JN0&B#=73&&jl&)vr5b?j`&)=0sbWDMY;FB#pR2gv)=rS z)Hra1y*obR1BMf_PFEBp^o`yV_VKxXQ!CG?lr6?cYL#7d&8S_UiWR9 zeLN?3eCBLD8n6|8C%qluUE3#CKf-2ok=t%bSf8%1=k!Y#cN8$r*O~lz9bFE^J*uWZ zBwUJ1^FQr^W?TA&Moa7#DmWw4E@C_s2MR4CHy$8pMBI0Ub9nO$m#ij%o*3b}XfM;* zDz2BNedp1;+7mSQleXezv$>3Lok(4PB;k0uH<>7I-v5@hP#4=#)w zP)KQ_aeZ=j=P#k>DjvI|Kn{Y$uEYA}%CEZ!rcp)*qF8DrI5w7zOA~MF#Q%O_#gtLMwn#gUa?f!JN;gC4em*VEdU6qBF4; zy}!A!6BK9|du2F#5@OR@0hb*3<5RbMa=Q3=H@B>AYTZUianYVQp%CX$y-kS<87Z(1 zK8XCn#lA67hl5D47Rz+;Uk70{^B#w9-W=>-1T#} zqF`9pq2Yclagy_d22o%8A-AUl!%L`8koMMl@^aq^`z$&~erp72(eZKjq1(Ztf5maz znV55=SmZEBmvv8zBx>IIF2&;t`2=CWc*)-PtZeHjES!q>oVs|a=jxuZ6ys!5)|}y! zzWile?^(+>e?lG9P$}43!)ioSj#up)c}rK4IP?O2GtCc<9{vQUTG8dgl@Suk)A+!6 zGIN%}s1G3`TFD@RcS(PjJ9b{?Esg~Gu~Fv!DJ1$=U2BTxXyXg%1H-;M4Iy9GzhVP* zmZ+6CTO=0OdhUXnY=c@}?~7$#H%7=xev+Bxne9sRbmHq<%eGv(lmx$hDb-xO`8C(6 zPpN_g)^n_!7y|Nk8;j#XZQcubC=Fr;1giW5PSjoMI&@srUoB#dNG&8e&qEEr97NW- zO(3Hc#Pkj6ZOFW3Z=I^FrtjAZ0{idf2Ylz!ebM`*fYWwW(bBV!e0aoI0-I+`wKz-8 z%Cldi*}}QH{<34$*l@8SnALG{MiYIo=a5=ybGBZmpPGEjAu*@>j%MGxO;BsEvzs{F zAbah4)fI2^KM28Gw0##S;$$3Mr6cUe}VMBf9eM?(y-coY6OmLAz1P`Bs{Q z4Y;)zUX_ZC#|@wpJ35h42m>uYrL?#Z_PrQe=j$$Bc!Tc_+Cu5yd8S})M!as z0eo&{!%61m9d z`Qhxk;C1OZ0I6|LC1Jg8gb4@Nm0}JSuK&9FWbFkw9H{kX_ObI1z3laGwEo_;`&$P* zKzmXV??X@4(AE}@RS7Y?l#H`WTxRUfS55BIjRl(I4}fk-BWZFPZfKBMV4^P#XX(XTA7 zL#*8Whi2$vwT0z&$%5xNcHP8GwEpC89?vlYB!Bu3Gpk;Xiq?IGMea7gR1uyuW+-<| zD+~D9E-o+YFFf6eHdX;OPN$J$r2o$H&F&m;6Q)##Fk2hI3_NkM<* zkTmn$Df{~V&y5S7{M@s0{DnfAr{os$1LUb-H8$w!LwbUt*@i>P{brQ*|(sXo59!g zS09r=wqN*~=ttSk9r{G0oS?#vX9uq?)qq&U8q5Ss$AT`lyv?ELAs{l5g^!opY-UPgm#yP^btTcPiRO!1Vs0op!8|qazV3* zUGZ*dqXpPU_jo*EXfXVX(D(YU8&$9nyuwwKFrT0J#9TJ9L0!zNznITGj>6z`Xr0l* z*D}G~_)K;$sR2B5)`mjxr+CLjZGi}$89Ia@SrXpL6N&01(muB6FBI)LAF0SV{?Dvb zNSTRDz4b0;l~0r4ek!P=vpUr5;!+#n&%)2EtrLg;>rA7eyK-)pG2Cos`x{v`0sDX2 zf?Y?Z?G3Sog-;+d1_lq1PKp{rU#dh_uI7_W!6{9lh^hI~dnX9-Q;l+-Lbta{xA@_# zC_SWVA9(d?xYZ%(^jYB>&JWd}vbJ+6`yPBfe`t0`tX6Y&r~1Jr_ zepXFhqxq~);lpNFd*bzEhJTJGs46Qopy8H8!pSPy;s?-;Qnh;rEK|Q)mX>H z>Y}7;|K9Row^#6Vk?n@7vbWHt`o4Y%5e_#v4uVI;94iTqH- zNBQE#7w;L+mq{V~!V8r`;LoQ^xwq+GNph+S+Vk@d1|TR&o_hI+n|uipv&tk;e#`>s z^WwbAOBg2c5HTam_MEYUcQMuJl5;j#>Gdu%j01nWVjNg|`S+)Kip2gj%ai|VPd$pyHBQA&(>6uPLxZ{s zcYctd1q2f;={;@J-vtZ1Yi)YuUrx|mfNJ3?F~NnXG_yza8KF{-A+S&)h`pO3M4WoE z4S{LIses13&Nk~0G%C%Ml{WPid}1fq?>9|Wl8P>7E5bZ)HH~L9(~%BkP+y@1DJYc| z_wZ&MH@a^4t~bjm7)6~W>XF(u8vWSm)7p=-Ph!y6bB;}C^BRY2skaV{@{}XnXkJ~` zYtv+;oaw3c0g;<$Z#DzV!4DRn*l2U&6v$wH7J!*0t4gLKSA|`N=oN3HE_ble}&GQ#bAGt~p5G~E| zO9k;}Nlmxvj2(CNl|(I-qx_&@qvS;p=U=Sx6lO{9k#oxB$R~aXIcec$BF|OO3>}iy zGwl_&H$o#GbxiUGcblos*gjS{=3(Ec3svm=zA|%l96+k$vkiYxaZg2?r2qa z#vL!0e=5wKu>It5XndZ2KrGp)9?T=qu(FpNrpDG3HHQjbemVM!8d9)a+R$j$cXb&*sJ(B|3;ifb&eW>-6K=)P=5uO?<&BwZ&2U#YeJrv;;nKUH0jW_ zBLBmEjhAKK_nd~sh(}7MH%?|sWc1=P%_iPI>nJX=ubah<;aXkqvmuAV&h_bjD>))ScM zSJ;J)sNIDm1F^TN(^L>F$aXbyQ&m{$F4|d9Rc|kM3bgxkdICAR#}rF4S>Z@^ z%+TEF^+tv1v>=(w#VJSTPszZ`8zMPrujZ8|Db5cYN^@IfwN5TLi|03lEa0446b zyI^2K@n1pVJ7xmEAY*#5f^R#?X^9EEPepDP$diPr5--$N%mdJ<#yv}t-HBJ5IDu7KQ|t%laJGrvTPG~ly(rEE41%iv5^v0hrT;5q@h6|m!7A5_vz}SyF&uIk{kQ6qD4aU;p!*6*k`wx7pxJ`fk!Q20+I3;2y`9c2}YJXC_ zQ}*H?3bm~S9pzO{VG$l*7RFj2$wt4O5r$rbpsdVoHFAbLv^!81nOD0G5%@CmlHsN? zT||}cThlx#bUB+6fDmn<>uBH@j6IsQc=~;$wBdM3v>>t#(v@!P_t~!YN}RQQAPokq z45nK5%_>zKzbU>i zip*II=ND6V%)dymKfY7`dnZT9MCRI~g7v0p-26CT%f94C;(fyz9!=ZVIxoB5DLq@{ z)=6_H^$T~!04yE2vI#(S1TBTVU-tw9=!}d-9EGupOuY3kox}&lX=5T5vDtHm1#^+> zu!DO&7TzEB{&?|pWLaD|qUG50Y+8xxhwAp-qWYVR({F~1vk8TdviH)BBI%?V@e35+k5#xZaFaF_-7X0xxwoA;a z$Ki4A4jo(No~CVcd>L80z?vxAnI+``{qd!f;QD&o zS*_EYB;eL2aDQH^e!u)7XgDOqP(J+L!|#^fl@rM6M%J~Q94-dduUhTULaL9iSi(3c%>KiZr6}i2*IxbAz`u8AoPJM6 zlVD=(TDd1(Ex%((TSv(U4Tb1j7cbrTLmN)CA`ZiJA^rukk~#B67spzROd zH+mJERx9G;8ZrEv!e8iv_TOrWoE_#>_$`aGr`TaC)2PhbKK_>xVsWkOtMFe2JJ7x` z(F~_ka^|Cfgh$8QdhzNzQTh8JlRXJ`2sRH zaFm(}Xp6jX8L~Vh^Dw@%b+9s+KeuAiJgoSa7i0~cVvk4fh^<{(E z?iz=aYm}}*Xy6uq)kQH+*TLThQU^P2Ge7QgD9Z$i$sKXF{+_$Bin_bM+V+Ne@W+j` zt=phQnenTu*sh8f|Ghd%=loCztz~AZRsC;XJ)MphJz>U~r5h#ya@_N@BLfKS?>#W< z7f18Nl{*(l3*-BTh5hJhm@9JMpOFUsxE8) zC2jt|Hl$v7JN}oB`E9xyO6Ov%CggYR-=49oLzX7{+>{5>flk>~YAnk+#(}(&Gpv+a zi67GYLMkpbP9g^fvk&#`7vPq?QS7p1@90u}eSPy6 zC%fb}jo5x?LOV{289%5H3%UH}y!6i$pDL$z3XE8}kG!O6% zz4!&%n_eQOBUqK6wy%$xD#aH0XpovQ^kgVH2_FGF(0|Cx{WfiO9rHbDss3O|&l`*4 zO=#mWqOd{)pvdAKDY!1ebIaIBQ`|Azb=9OZS2cXW4ZasYoXjoRzw2}O~CM|Cr@;iN7{iA zIuu@G5M;CancAB_Yu^`89Ox51s#h|_Y7U^jOFOswi@@(9#d3pr;_P&zRE zDE$=3c0;=&nHGvDv9*#nYvj%LnHUxSmImsoLsE{~{rATEGD;Zrnh*^j&rzSINw9q_P?*sq39)k^V?m(3N@wM7qLJHJp4Z_ zgsKyIZ1tiT1VMX+Z#d?(eF+PrxQZWb;omQ^SoFYN^ALDok*iQRja_4zOprC2=aefF=*;uZ?`sA{??T=AYl{Gong5z-DZp2&lnN}>Q zM2%tXR)-QbjK15PK63k0ld!FddHow)FXmmUycz!00m0y&TFv{tkr;4SyY`s0TaMBR ztecoJvX*@vVojPm&B2kCAdjKXWZgZ)!14vnm9}{3E;mvsLjY5X)L4n!Df3(OefPdzjm0d_oEwnLJQXhUd#` z;9+QatcS76ox1;l-fcm*!^@#AvwNEFUN?CLet+<5m8J2eG#@KBTWem~lvA(!0~;Us zG$p+RU3{)4C%P;ceQr<9V~bw@#N#(j@kflq7ck3@Ch?YBSJKX|(U<5+8OxB0G> zpK?WoeK7vxiX-6j`_nz!(uYv|r+>n;bg>ALMdXq*4cB0S6yX>n5E#{y_o0 zbG0{iwCCOArfT@dU)yK*X19Ia{JO5nL$5}A_3G!s*-Wr*u4WqJ-2}jzo7Dz6udt@{ ztVIk^ZxX4d{nC6MQ}A$);&n{1LH%`SA0^SQ;5nFu(h9jap|`kD)`c1l2_ly~_jdLs zQdsiD0>e1v;iaWpgrI8%#m@W9^b{6yyB`@pF%m9 zT)27dmXg*LBCxVxBVrwHeIoO$Yc4#qAA|qDum#pezj(}hJEQr?Jb$K}@=@UBz`gYl zK!?OA{GA`7BkHTxPJ~PDl2061ej@%ihF)8Yzb^zPomc2O{#njO?)A>MKRa>px2ZQw z2XRP3#Z%&2Grqn>P3|H{f5nRTq%<2&p*jow_fm=@!wk6T%vs9MGd%PJ=NS)iIzJx*r~C9b)`w2U9$ZB{=s(O zHP$_66%Cw$jlEhmI;SuzQET7MJNx_OPaIJA93bqZa&rr#PI_a z*YJ0SpVuh9s9qrGZx{!UXJ>&8_>5TX{|r?BkQiz&|zU%YnsD|FoMM}4% zjx^%>YugWwp7*E-|5_};qjIUjkJW_)$G?V2^If0!3N#@rcO$E3OyR+WGbs}5N5Nge zg{v_{qO*bwGLvoHvI6#Dvdzi*%##adk~urSr%Ot|AH~eM+zW9s1Mb1@sJ-1s)IF@Q zA5Hvfpgtd8%=kA9h&CUoPT}){sKV;C4G>CarFWuE;oSt`ctXg~)l%F`b>l<6gq<$5 zr{(8x=QZ%EGIA336!Lf1sihS-=;`UQ3e0=As!li~KXh#C1P+TEJ}&klf}n2uqGvc? z`1I9tnKUX!C-@Wde&dc9xeGxMT*8(`gUUdYu58(FTEX~X^Pb$(yjFMYF_LwQrNaj> zq0#4G^9p5-ZXQ%5Wg~4TOaQ2m{K<*(#<5j5nS%eGi94Mxk8urz#QfmF`{Wu;}+*n?ekT<|DE0pAU;{H}+lwKhJZzHEN zqD$D(OqSxlwh89?8{R$O-Th!)v1qr)($20z0f`vtl(JgTM8nzWEi<5@?rH;tTJQ!m z#y&{wEl`pki=(zlmUg$((o9RCXW%@(wfcMo&}jgjmF5{VFSD8OHFs^$%Qa_&O>MO4 zy97*UG5VYOnC#={{2XCr{b9|o2&ik{p}YlEcq^6$;0chNye2+$#Or>p!`ZnAHe#l) z;3Zu<9xZZ%gbI_yCt|tOain!eDv}Ln7iWi z5XJELA3T7?Hqrcvf>6Lk~@cEojxnGZ^9?L;sZ!GT-vN=Z0Jw*T12ZIf%Q;TR`gbYOgo6&Z3Dw@?BHI?-2ZYdDB7;ucyx zc$o0B@1R-7W&Z3}`ToJVZNXZ@vT~K{2wfy)gE6O8 zsV8~ptT(v*9LZXhcENAMS32KYDUIshr`GFl*>KQq} zYfU3&aM=eQzz9{YvbCMIDtn%Zf;6d7=WTQlvhj=87E@zZT47m>DFEF&{zqV9tPw0toq&pxTUMZrx_xwUf*%T zQFy*>&joSGX>a~0XLY1+Y?LhTK4FfB;ZaT z!N!Cl^Mnu~_%oP>?>0l!N{=EAc$51`sOAPl90kxC5Ehf;M=w*AGcL5t9OZV$9l=Ai z1&crI#*$Bz2>-O{&PyBqRAOSWur)A0wDx;BZ+d zz=k3lG7t8`)WjMhwNmxippkZtuZG0`!LH~ z1R>4$C}`w3fAo&4itK1s6{dpddIecaWC?wq6t#kk7WdnPYl62)9VA)+^_)8Yc2B%Fi*mpVNJ>`P z*=z27%7}}6>&4|k@5!JI-{SN0%E+Jc9cR+_5h9pgJR@B@q`dkzuOw4|)jjeWdd1`lU za(TXMJ=EcvG&64IEXNsIba*8~5kXlJc^86Uj#<%IWRz83)t7?4;&A+i2Aw(M|KznTe}KJy~|?(ct-?6b|~kW6aDJFxKS zcYJsWa!w0lZ>!fdffEIKEIGrwJoaeLHV7Ajh5yuNYmfItH-TO}Otm<5tseWL&+n+F5 z64^H>A?sce;eSb4_$G*Zh1$w8?}8AEw%DxE%KiF5K8Fm(Jg{SGC$&e{&ONJ^$IANp00GBVC5FK zT+)NzC;oiJfbyi4g9v+4&wGpB1CO&y9H)9*4ROL?Md^JW5U%{IH&dcBhfQ3Aw$R5g zShwAx2N23-^T-qQe*Jym32D|F_0&|;P(vZ- z=e_93(2l+*iTV8?mxMifqo14Y062zCsaa5(+1OX~_>T4MDPb>emvQ~60HMVNjbZTc zA?+#=4d(Hwm6D5MTwJlYo&KnGjy=8QvPdCqp0*Y!RT$5}oje66AnW-KZ8^W+tRVRY zoD1S>p}~rWCGAqXgkN~QF#_!Gfx9&=x>0lT4}rDzrAlwd>il}{_UcA+b=v0!srF_R zBGUkWTYsl=D+5>la)BlR zrNdM-&=SBACX>2#1-DoOr-=ORBnxDQ<6+YxSb)T+^lQ+ercS|C2vXGQWdGl+KKDBJ zzI2-Lx$NC%YQ7DPtC{+f_YH+-aTBZOPdT%WD?yIlseV4O!_=iLkjr0vy~q6^_JxV@ zZ_l!#X7WsUeNou3j$Lz&4#SdrKyWu&0U0JP3L;{(3u&rl3?sH2_f|MVU(+8KNkRySNYcjG}vH^BJcfVoFR z_7DnLtm#AS-YOJ-th(2-uIV$*)i54gOwo;K!ZUOrZB`)LuS z2eQRkGx{`e1ODq>i>C{0so0LwXWV_=hG<_;N2WyQKt)y~+@tq|L-Az*z2O=`JU=6o zu)Wv;M`yEq5 zjtPZ#Pw~c|eZ{w_6T&nUSkc&I*sa|*#~U9CA4xi!gaI8|Z}@Y^~T;>!AS#X|5ut z<93j^QE$U^A~bK+qj~)~sPf;ehSD)m1cb7WK^{w#00pDj70|p9BZ;mPmRtaPv}sbw zFc$j>Xg*%@mi^CudJi(V#d(un;v#S?YC&dnnw|+w{tid0CFX`K1Ub)-zNE|rD>pb0 zeAru6B|Kl(K%q4k-c({V#QeiCXpaoz1oRNZe#b@vng>MZPg6IsfGu^*nMbif)N42% zu{ug1X+2?%fe=h)g}&?E#5S88&VLl38IJ>k{H=b>Sv94lFRk$#Yd#khEQbu$Fa|b1 z3S=?10oq`sUhFO*WNwVOzy%BK$SysQ{*d;tMA{=d0LR)8{qNUPMd+-iy9c4&Qo{Gk z?n^`=>%z;gk8q&?%SMt5joiasv(7kW;XOhEQ}s zy%UkwNnTljZ_J2~;^wePOSusQci%YKPMc)86JT~{OHZ>@kK*W+R z)4}(j)Mn7B%7=tH&s$)!sJE^dA!QsRKa%+0;Propz0I8ImKxSudr&jO_V(uv z0z||fryY<%rVi?s&#Mmmn^2#W^PUPoIjFcl_Pk8|e5t=sFf5;j5W#ok zX7ZS}OPi`bV$K*Fnm4KDLB?yZmG?j8ae`J{w4rrE)Fd>-1kUf?wUh{|uMa!7!7z+? zKnNAZ;#gBwpdpw`WVW+OOE^#)7f-(cpr;YS4RoKP0mFn?_I8Z;n-(KuF2Q##YC@%y zCx$LLNrZyJ%h4R+67zWg2409NTSL0w3mF|D)ut=LzIpB(I!}Qoy0`q`asC+5(^<7G)?#gLaBzd!r+CTV`ytLi;aA$^1>{my{L7j)ZmWeQ;)hpMMw zU8bWfQY`2xU-tUSP=RfgGywd_a2@xD{`Luxm2pY`APpo4R*O#Y* zXrJ6M?zv+@i8943rAVsgiMpNQALtOCiBWZi={8%bpw{OY@wLx5Fv7axuR8@ep_X`z z&;GpwVUF$PqippR#mNtDAnr7*0A7Y~K?EQf4j35-)k;aQ!j;dl@cWb<8`os2tCbL0 zNf<(jWW{3S{T2bnfZFqPW5xGZ_iUXy+bVIuh#wkk)S@F@*+!fWbKZYUA*AY|(m(eD zFg9)~FSGC9zXHP-w$a+ZJ)GlnmQ9ms1H8m}jnHm&W3RgJ>;@VuRGA*ZSw1$L(b`+1 z52!i1QadASoz0vRClr@Kx35*ciqsP`An5AH+qNVjMcX*U1VlL_foLLye?e#q9Ac5T zv$kbn0SC+|Ye-vXYF@MSvBxohI~WQ81QyvB@F%b?X{gWE!&ls4tfhrG|(|3sTZbw^AcU3DPAgj82J>(skeQ{oQ-dKa8ET z^Y#;;r(BQl#35rxHtaiBO4q=UzXL*-?v9=!Ca(5`*8zha6r;=a`|Yuy*?q-=b6No` zUWxJu$#sb@m#MMXO+>@KkM+;J)-llRJtgZGQ`$lJ5dBCwd57E9+7Bqb60P*&zqzBk zjF{0v0KNweyX+6XIO~26KKcZYae>-r25XN2f*4Bh43Z_t9obMDsh5eN=Kx0p^Y4g}(DL5> z<7pMJD<~9;a{)-!Bw|s)7~i>}Y(oGM+cgP&E@4;A{B;}Z*xdYUQe-mXE;BLL|j-rU-9EGZ<0Iu0Bekrq8Jcq;ji z|C^5}iZceePKv0@Hb-$!Zp@&bj<%hZ)S%_S!Gzxv?c;tC9l{Qvr5BeV-$N*|ik^{> zV8tV7_EGoeQ6s&S^P~NIe&1w5ZK9m*hVp-&Lm$-^Mm!SwU&Sl2&A^Q24F0-D@$Fo9 z9FmcPd6TvKcq_N;^qh`rU)!0%wzl{7(6GRpy=fO5^%66sAcFhiZx)jSsQ3GFyA^b> zDSWi*z`?vm_==@NuZ4_Ou0LD;aT6LCA2X({v9(`+a{A@ihMC?%QElq0vk1<9|{=B+>cSU)|>k(NqC9 zs?6`y+jGooX5vC5CsT;pMfAPrTNHOFl=TW^^4N{a#VDG#mlzjPFr-DNtg`FSDs2l<*u@#&}jH)QqAAe!8 z9*jF1o5Koz549E!rXS2CMo4ymxquh%Cb*AQxhsoK8Dk_#Q=jQNVCZans_&!T8OV@8 z{6G2boL^SX=-u}vV!d2g-}LfYBUeLZgf?BKkvw0`gsP9jYlNV2u+pYhi}>Wa;R1Nq28ECtv}8!tUBvjn_eKwtsO~BchqnV7l;{gg?mq7y+Cu}HUa!1J%wQkwfUXQVWf4#Sw@0ZJ&`X=G z7!VehZ*Wqm^fw$YL&!qqL#TEv>6HI0ETj+Pu;Zx$e4=o?si~|WrGs)ZWQiquQ);JZ(7Q9uc#!EczPLYYZo3w_YyGdi21!g_WnAH7 zPmX`S3cE`81H9oX3KMcl-ZCR|F=CV`i3ng@T0f5NJL=&;u;GaG2P+TViuBv*+6%Y1 z)6=<^U-+6x*&kBePTv;x)u@>29+__8o1qBY%8`mY#?I8Hc<_ttuYHAJ zcNQ>^HfdIocMRhlba{7PT;%dnLpfD5-kAW#95anymvtZk!iM zX$MbeCJT=YE9bW7>FZ;dvV{xP^ItJ?Qg>&&M`2auS3LTLj$K*vB@?>L#~+M_ zH(z@1!p;}WAF^pA9K%xcAE54}0kk<^_2HA(`uU03Z7$kaL*qmcO$zBKjaR`C5;_f6 zz=z;7a=D|mf2IMouw1RgnWd?+L;2VrgLC(6Apny<&d*U>fo2(#FGL3Tv4A|0qxR-k zIZyKKts?VA8un`OfU)nS=eW9K&)=S>+We2c>IbJc{QsXdhkJFte-kCGpH79^rqNSW zcD?A)cyaxyOFR=Xch1R+bpx-TOO{g?HO8KkS{+^mG2qFWE0nlc)S+BQ=UJ zzgO#=s8!8JC7q2x1+O!>HIna5>4ThxrCMHY$%Qvw&c`QFG0%wSIGif@@py}god(0-vur_(|!hXUMfsz9yowe!6~*pdXV#A4nrOke4ItMUV6Sx! zttXu)a|a-;2&{3VO7eV>V%BC-^)T^%=YndKiA;nseJ4yobjmW}IM>Us_E6Rw`&3+I z%icIhhS(7qW~%{@MiErioR5v{kl>R4*|)EK$z*RhRqkyidtx+~JUVZRdg7veUF;&P z#*n4~)pCD2V_xrOo^bmHA0xxu_JT)j()DwmY%HGXL{?C9?sTJ9y7!qd!1TaT=bv~w zj`aZn_+`{&=rM=4Gv``2Dy?oq3JX$U1KB_WYwk^rHSuSD4wfzh5dq;w0;$#JiyeTM>;}-qN+qow}GjUta@&5>55Om|A1C12w5+r%i={#HMRP1=@1z zrBJlK*xqwe0&y~btBBDBn1hVWloI;_!}#x#05Zbiu9A%ckzBWABVWhEJ&!!fGzYqi zlM#Op)EW2MH-yaC*>!oA8|Z}rPBGiCg8%Mz10w+Yi@TQ0aA0DRzy@ zsdg;L>(ggL`u+*g#*%GR0Ov%SK?g!i<$u1Y9Io6a${zm}U{$d*vP*TZ?L)e#Z7GeyF}xUV8t2O~fA?!5H@> z=jB%F$syfe4|$hwJoRH{>HqvK$yt^Nq1;=G>IrFlhb?wnw6(qdtgovVbwd>gc~Z0a z*8`Rm27UI(bxIFE{-lKdKNChAJWm4Xp{qFsm4|FSRGR8d}d{Y{SL=wH}SxHT3 zsYaU%GB=-6P??q~Sm+gArWJ#Morx6D$3ow1KUzAMV#lRlyjzX=GxyP~0;CoyvKeq= zzmP_O6bD1*y>;4V_Cu_P(s-Buyax^xt{hDQeV(XX zYu^Y2cj*HWfP)uM*iREc_m3r5FE_PCxekOP6Df?Bw8PYPUs6n$>0D!WCi3UFsPlTe z8HT8>#XZ?_m7N=(G=0V#^b1hh_!XMEm#)W1W9qpl7q0G8`P$3EZw(F3ua&%6whW%l z!Zy_?wb9w=+Nq?}rrotZzWpUn{#*T~pf}CCuW$XZVe-KnH0&Hlqz`F*2Hb@*{4e)V zv4QO}QJ3Q9HB)k)fkSGx*(E3OFp#tRG3>gGpU8IAslz?kF%krsI}^WlB9@^xJu7L+ z|0uRpazOsZ1;2ruGGb_Q+HalR0RbrLb`w5|i}6x&`H!~nblb!2ZoX1%iCV&Ab~J27 zd)8_(J)i=2m-j|6>Z4I=Xuug#Wq-t94P=U&89qwiJf|=f<%co6XQcZmOJC}6i45K5 zuBdpszr}|5MgP#E3C)QUe6C}d@N3D!>Tk1LNEzK6^FaOl)eXw_rK%Dt zy>{tQw3`2Qe?Ij((yevds5;!umt{0eUy>ZlpX&~xv`HXFO=A$-YDe%Wj{mUWNZOb2 zukD!Ie*~=VklYS0594L}xu)VMDI8yJU-+8it)Xwkj-SU^RL)18tKE-1aQe*)w+iF+ z+wC|~a8O9w9R*|J7K2g3ucI~2`(=;TyoCC^jyT;Kzh}K*hA|l0gY`m%peG%dPIr@lg9>k(CiwL>8{++VIN19G(}qmgS^Mr-V-GM7;TF zSlKRc!mvI{>7aS9MsK#?srA7d9;Aw?2TZ%`=qOkweB66cIQJ&$WzFfLs|SovEMjmq z@@0d|h?*xkx{#BkeNT{d=Y>@7Tw$xRgi`Hwey^`DlZoG^f(+-U( z6K5fC@QD3aJREq-pB3lJ?LDj6y+k{%Gp{3)Xa#90Fqkb zGSS6~KiB#k08ccNgP~rl{VGlz&}byTonBb~{#9DS!QIo)Xc1ygo(~`hUfO1-_~@uT z*oi!S*q5fI=QiC>>y^3k;q#v*(*+>$wAfOu#Ra{**gkpDqi<3l^+gVl4|uj@^GpHR zZ9mo>9xa}T^WmtRzd4AEL29U1(R~R zZ&0T5*#MOwFp6yq*1U|%RAV;#WP1zv$v84lOCl1P! z8gDWe4ccApWv;g$uhp6D%&hsx&J~w&)K<35`xPhQZYz2rbVL@@ayW3K_9p0xdxKX8 zD^JZ4z2O3%T6?Nw78H(78}mQP2nO_yj(EQ-VGGjq^EkI~WvnUr(Zt zU@L$v1cgDiPS@r8FuL^L*`1spkK8a10Jp-~%tNq5l0zyy*=E?X+{CY_p9&scCK^2dP5)012us${Gy_mm7 z7!cChJl?M$#`EIPJxuSeIrsuTnzqKKo3vQ|4*=v)1|IM&`aSr>;qU$QZz@>Gk<(2_ zn1HVRCF*6A`U76vZ2u|maagD7UPE%dy!~g*e6N^P1W_UnymlJcU)nZHJ- z0^WnWx#v|SI?udaC^WG%LgV(^ewbHknyWS*(=4Xy3ChQ4?rmCSwMVl z(J;qpN~TtFw~)d>XGsk==iGqyeH1&)0uNS%WdG>biRuX8uX>*W_ZsdPRC?njRsX^k zjB3X3{Afk{p9WBQv-FlFr+jsPoJANKSm)_&|2qJgFXsl`o5-;e?mwoVc%scPAE#C= zGuwPJB1(-z+lvY$_ov6cJ?bi>Ls%WkJ*5ZKVv39pls?czcAHE&)_cE>@+jM|O2{ z`%(U0R$@&c2W)7l=i&}Oi&14sn6y{*d%84LR_f2uQM=adc5U9v21AuX-em9>2J{)NJQ z!>z`hC$`bUApFMu^JBc5*sxLPHCl=C@eAq&s5_9l`_)1RZ-a6d(F75_g? zQ&K4rhIqG2K^yg(@4Zvv&WyfvXLrjmquUv>zvia21}yH&PJc`8Uo|44l;i0A;3i8K zX=N1dG{Y9VJ6hn~PuszfvCq;`$4;j!C#S2yxdFrITOrDi7yZ*KhYvqQ&_YZKZ=IKS z5U=OMW{+atrdD1y|E!lQA&n`?!uid*SSx<0n3_hFW`rSJz+j&}Dli02@Te4J9xk*1 z1feDa%ChSK31IWBf}kMUbWlMV-q#>@Ygc%r8$bW^HOS^ z!4;6m+e*>s((Po(M_?8Z=T0&L-TIND75NwipA=%7!|7{X*2Q)>xe|1+Vc~JqJxlPV4kGvB7?#^Yaf9! z0O|L>>^{3i1>_gZwJp696+ujcHLDUSfO2@)IdQ)J?{Gn|p{}%)sx*CTxurhI^pKr2 zS71BsL%GUt=iSmoCq?QN>FMjrL1z-?T8n2L0kW!$?zQYKBM)=K6kZ?F-qt#L1LZlu zZfx1!X;11O*~&FRo{Wxo;OvBiT-v}90o0lIk96Fze2X6SN>5a|8Qp}Qxz|R%VDysc z%BwIW-$XAKmwu}7y?lB;n7h&c2K7Vd_YV`n{jkFAP@U-RKy*Xgo$SK%yTE3&F*+}c zxMC3hcG7c!k~3^J4C*(8xM8q)j8HBBa9v=^(tP#TOP}0tk>Sj)t&#;Up|tk)6wz@Gz}E=Iy9% zRkwfDXn7#(mS^f{fd8+0gNVo+Tdt;r2!Sq(Pu7@qkhR0uL&+TfC1Evn#0~@Wcs)8Y zVB6zT14F_o4EH}I$I}BCxuW7u56BKfSCRZi#^rRzt#{6~>jJ$}H#OyV>tfF~aHv0O zM*PBySZ0?aU}nDynAOTmoTZAlU*k|(_0?&iYJ68z@Sya#bJ16I`et_LRw-NCIT|bC zPtpVTyIivmj*78O#JIcmm1-zFD*q0DwAi`_zbC=XNrLI*B)eB1#vnRju;NS#v`hsO zh{n~sS@g!mril{Gtg9pju2=j0448>Kp6cINa91^hW{cxP^!Y7GG<)%Z8|iuI`j4M` zIh1E(Z)b<|q1j|YqSBn(%`zHQ?ui4LOh(L1w>L)_$|l-Q*OcC04Rir)~#ZY%x;-0_JBF@oT$T15z?CC$5EG4Dr* zX0e;#_oZZgsy=*=-xztqO+EP$W0!QJ7okRGdG&wG3*FqY|DsWC)YWGK5)S z$gNMx9QQde?a$^xO?Mp*j%buiM=Oxxrb)_t2t~qAA!FS?ZbIu?7(b29z|Lw-+6HB?` zjFQ%^#~6HimdIVeM3Mraj~Ng5{ecXm+-o-VOb7>>ooPGhpYm5j7|IY|)(|mlciUUH zr%xXY`H5dtQE#OJ3K`P4MYNO5@W^&U5xiEND@$b z2%eFz^J<3RWQuEIT2{d9Wg{W7zEOCyXs@X+?Z*8YDUO(&TchuwwuBe-I_VYlzn&g5 zW);4*VB~3HHe#eJV>Y5R8#TJgz>m%T36fM&z%U5tT#if5lof0%D4d?RR;wFK`79%H z4oG6u+UYv@AlyH@&lF^$*v3QDGw(Hs)kPd+DP&Y8?#Wcj|L(*m=FT@y|J&TPuxjgi zsYY1!g1TTu``P%(@H`>v{D5a(n;l9-s9h21lR_a4R#5*G80~;V3vCrv6A>rgNr|pW za6E08H#z752ne_ZqyV*$*Vvv4RM7M6UEnD8pl;gbY~DF%j8Z~7{#vQc7mNEAZP6Zm zJWBVJJ?bI4J8yE6tZCk9o7alBW`$8? z1W(3;Y|Nmcr~0%d#f?_Mz>~6Bo$Lqr2BgcQn&n%tyQ;`4{TM*WkTi4I^&7h5_d!Ty zzVKfgT)36Z&-U&T1a+gQIM+sad0}CWgIhHrr&cNWm z$__kCOzQIAfWmiTsebpMziJ!}fkU?aHhpS>0(IQ}dx-~zfk_87W2cN*@Wv&^R{=7 zMuRMaZygu3@w?Tgfr@kwcZ*lWaS;rT0%Gbpg$CFI0n->uHuMqUTc$bq0~2C_^#CLn zQ=5P?a^3CCiybj{p+CE8Y)m`fuS3@~>$r2<@SxOU^2FUF7>{nNM=pqnWX$ossc@m7Cf7;<$}rJ`z(4yJn{K@3)Oz7%4(;LFxQ153d>z zw>*8Fo%IUiG9~01^#)WANUOk-RnwlfAbekhA$7B%D^*a_SRU|6XO0RrUv#$_uS38J&b9->)(PP)BpSy|vTp}%i=V*oY*L+dwty0wT zjZ~o~Az=|GX|)1eBm)J=7340C>>hR)1D}*tT7ap7UYow5 zty%@jpb;Vg{xRcIfw?9rCFMK9KYc9;mQ_*&nil@4YW)Vau}o%|?~YFGE9m#vOIFi9 zQ}!+M;qjUz(G{c2`&A=Ibd`vG_K|pWqSkRfh*o}tu=)gA;U(g-0DrKn9OXSV!J__E zpu!w^&o7~w?hkzp+}lJ2_>Dd`(NB9wteKcMa*}y-KmIly2$otH&zl|U|%&8SfY zt9E!(e~aT)_i)&cvw5S#iyRykhKD#l18?W-Y%n|X%Ejx<_^^l+GVa6?hW_RobrvdP z7#9e$${ahQzfFh(?eG_1EtBCvEW29uOFIsoZlQAo3r!mZ=`v9!_aFs#L=maT4{0Or zx_acovQN=5=W3Fa4Jt1CL<_Czar1Hx-Dvxw`~SLT!Z!g2NIXBrI0W@LpoGU%uUZ4j z;lA5C@=K5%$bs$|mtB?7_vuj%R+A=s{7;2cuI@Iq5v-nec?o8#N`c$JgZ!IxG1xG+ zm4V|hMo->dmF`MrquhsPD@?hY4r@c#;d-7n_c5c;h>NlS5qYLY<`Ui*6mI)|6jGIiob~z|4kpRTwv@MFDe^gU2NLXzx&xbsl+`Xcxc2rR{`5*>qd)0=_80e$(M^6 z(}};ONF~g{v7iee_zb+$ByDiuq@%yNCOW`PTx(&l5<#P1lhx#LA(n&a7{PoIm(!OY z9h3p|F}`1`Po9=mzTova!AwjHE6vTD&H?ty3zVEePv@>L)v3Vhp8g`Ji!i>V*2%{- z2Er*dcT<)?bNgbWu2Fx1h(nBo;0mdC=L2Gl_Q1TGa*s$j?&D)9r!29QjXcVxkN6Q5 zWclKUvB;5DRnFVoXtd2G2$y%x5fcm0Yn?2;I6ocBQyeHsy6Ht{JSYSkoF5ut#UA-p zRJv{F^{U4ZiNAvaf2ij@#ayUw1CWQvq_LG?e@{JXQ!= z3kW2Bg4xc_qq1BS$F;*<+dOCgGgO3f7`@b2uY_h3bR96e8VZYfC;_qMm9W$N6vEr+f>m15_Vai;B%<+EAO$efYXk19}v8r`4Bl28|7I79|0}?5c|3{ z%{49L4I8oiQLlJJqa?M!>>hs2P3`ol22{^30!4OFB;zt1e@LeOtz z+^I(}Q*lRj6VnN3Km`<936uo2TU05DK~_IAQy}^`8QQv`)-LcUW(*J4&_&Ns@)0>- z&14tU*s-|GXM(4iu;9FvcEA&`OF~UwE6;Uxpu?Gs{~^`3V)w!p(qQtt5i@fb`G{|m zzDNbq?b^hzEC*}KRsCBdmy(muDleyl>o+|^#R1a;S5$I#c`Z{KDE-zGgOP`MgSIm| zWd(dhMl}P0XkzN5J)N|-M$?oyDsq{g)F4v_*R8wj!6(D5nn8@67-=8^ezVO#K1I{6 zdde>K&@CO0f|wWzQY0K&3h^qo;uuN)9jkRKerxo8tq!7AgF?U9r$qX}%V|X;+n(+{ z`)TAiHnrM0yU`#YP^Sr8;j=_j!!JNMQz-@1mirwa9`ZVPF757oG;4(ek24*s%4BNPSMZzt%wDs_wkR zgy~V<-(Tk=7%F*C1R>p+0Vy z#Ua|XYYM+R{evmk+CI&LCqq<#gDwf}5=bmnm6qi;45i((ZwdBHad7&$@)isFIeb@9 z62$;$nf8ysS_cyk1#7o426Z{C*}wuddzp?`J8NO&5uZx#60D0fy+3-D!?C;`HAYJ( z^AL+7U>?&A=z+b&kfJ!Iz~xcIj?Yc# zDNinwJ2!mZ@1;EA3~QF838PwQzX77*7KS3QK;Ad^u8WO<0yREj=nWeWVZx1qgxsM1 z8N2L4ruUltksQ_@-~BB5e?2n@Hhn>1n(ij3ZGn|1_vPvs^HoXNFxT5+c8mZCWI1O> z1^wGGRq}#Omh%1f1bo9&1T77B4&Q!W@}|aAgDGu^*qqvzW$TYZ{Yo8hxrIN|1pHMn zZi;!jc;fS&mb)}*X)HLr2{B)G65KLTal1;ByWb9v6!EcwoH_IY*t~NQT`IB zt5b_b?zfkx1So%<(mU}4p=roY{W_g?e267xSgH&yJTu}oq5XdTlvmz!pvkJ(YV|;0 zv|bs)AFJi{HJ>;qjeDP)Rx7MB#_#jMd-MXC>aM#{-oj24a5S?C3%U!}k7dJjC47OX zUK^Zi9|nwD4!x;FOj!&3_pm>pvD-JN&j>u928(nuX8s6!lFs_&zKu9L@%G2Y%VX`- zKion$JTSkonaSscpf?Hy^{+wARN8&_sVTln&Q!Fd_1LQ#`}?mYgvVskLm$fO_Wu-I zu&h=NOaGDSu-dhLuj_R5X!XQ`W{LR)&0t*p{YSyo`RtH-7(X893Ea77&_MfEKd81v z>;l$scA>UDgyv5-rx8Xafwoy%N}g;FS#<=ptHF+{r)+V9G(Bp*VZlSIGEFL2vEX`I z8?-hPL$_#cHpq==D^!z^Deu?wtIy3(!|;0GeEXcrdk!DQMf%g?a91aMIc!e*mR?PR zQe~)M&56cI7~hp{bj1Lf-Pzuy2P{Lp!htbZ893P(s649hkLZ-@C&H%Lk~DnxM54C9 z=WwlDL~mn+2{7-X??KPwh97H<17#)8E$T!&x8ABu(qi?Kq|Sw7GL8--^lWcfg{`uj z+2*vc&eaYC(jPEN3H4;GvJ3YRCfrXq4)P8^)6b^dqp^v9@pOq3QrG{=mtXkg&Xf%JahyfzbK^vn*Fr6; zy}sD$^;2uK;NO}F!y;PSwE}iCR?LQNK32ZgUfm!wuN?;8lP1eh4ClbgInje-ZevxA@xr9 zjx}fz?}Nt;Q`(EHg{iGkaks)-O-mc}SQ0gJ2mke+ZS8hDvIZET(cUgP3I71)fgo{y z#J3cCXxzc1_Ln!+@YWN}hb_Z{i7s0-4ms$Xo|ENbHeWLz<_s>yioSijsi|5sa*bB9 z^xw#}cXKI?;|G?;L{Y$JOivfOvZQcV581fAr0!gp@`Ges4=UZEjQ8PQo03m0YY?*u z_Zl!N(4+2z2QDLH^QVS=R`<`2*G8IaE@3Est$6-udGo-3jSdLOGfT(Ei$}uE$FT^L zP2X!59;aK=2hDVwzxrtk*}fw3|E`@rmXCV<3GvG%-<9@ZfSSfqu;FP z&9`#cDYW&JWcoi3oC>{P@!ULpJvcJ!h&UBfra<^dP#^AX71wo{%r{O+sPmRzYm?nR zjs27!`b~3;kB^P}1qrAU=~P8wns*%<$ken*>}V4*i76f@Utcn*8r*71mP&-im~yz# zOphpWCi^^#k+83+dnZgL9~=7C`=-b_8Meri`~Ca_(p0J@6t)ABT=g+CJrEgx%HtA* zetP()mk|rfUbP^A5AsLSMQCjV%IEV&0(c7^zUwaRXccq*8W_AjOEYYkQB=7N+Bv>X zOYNZd``Z#xYJZzd+dO#H40Y=0L^dwta~Cm?zu?eFy!lXc#L;O%&AM#kpMRi?o^kbv z$WHF^PwM9GnLaD$_R7rinEGN)mwR$K>3wd04NKe8#V7M6A9O!j$RBX;_GG`W=1&^s z#{Mug{pU38yXa4MOeAEAX7rFAtH26Dd#l}K!Amw>I{&chGyzBop zw^w!#I%I;71NkxVmpITs>eg|?m^d1Re*fqRv%#u|>C!YSTp=n%O%buRGRRtFC03e@ z8g`{f^9(*+Lj=z_*6{?QOfutQ;zkE=WRU(Bl7sF*k;fRtw+UiG?CABWeq%#Vx(psg z689>9vCe;r(KS21Jym-%KfH(%QwtobEEWFXN-{0H`Y2QqkFCGYO5p3Ul>nRj*-XFX zub}>KT&(=gUgi`3kOEolBC5y8!`|tH9hqMye8p$jYxyk}8#UfO7kKrbDw>E^Tp6nG zG*>uasT)6Hwz@|QETA6+U#a-=2GRj?)1RYgZ~pOicPJHb9;wG zS|x34#XT>H2IeHXvG~SM|FYf4)4h*dZ2P)gU%}y!2Cn(o@@;}x79hj{$)By)-P@N_ z4uUu<4Q;XDW|E*$tA}+WOoBKy(YQ596XG6w!XsYmASG;CUchyh2^TtikdnNQnbxt@|t4JkDht-wt zJtd;a;EJv9t$th_3YTA<)1Yma+_kTYAS0&7iGC>kw72fu$L-GgJI(FMcCrq^Z(2o? zXIqC_o_A2GJzrpGtbtkrxlN+u`#Ek^)tg!Ft;A+uBW;|Kcq{JM@?*rMi!64}lL~`5 zG(8urm>%}Di^FI({;X$MvNj{}53bQZsIC_WLzhkN;*$F=B6pErN%%mC2)dzVeI9k> zD07|7JryytbVssJ<@vqcoX&)V2OU6!$hha*+d~97jRv_#5p+vZ!YCWxJnd+>(;PH~ z{nRk+r~xk;;ddgH-|t6%YGh(|ORTj2;{AoUzisRIXYo_T33nN<(+B&n%SPnHug4Df zRbfQzCZ&o=|7eca{w}xxZJf?m$bsN(%%ms84&bJ&CgI3f{7B2{-qvBV4CiIty#g;R z93e$`eDC%BwU*a4dcT>B{F(!iPO3cfLED7#{%Zq}tVz65iZs#RxC8ZCOH_i?E0rC8Hkr;8g6(WJzB!P*cc=h25*w8%p;wl&7CAg2&J2=rt_EoPvzc?o+ z4q>r?4{r8clpE?>?u%8g^-P-+=vn(M>ah&I(_{j&_hg{J9yT<*Gd!UbELAfhwwkJl zt3E7P`gTk~g{gFF2|1|5>8nERQ^hp;%PY=1AL*K38TJ=1+4PnYU$=$ zF5^LY%h8nyIc;B#ZWgmDm#g-Qlc=kjh)u+n^9;4wA9)*^n0Xtc{x#NpPNKFnpE4>1 zwJGXxjlW*WxWENtQhwA$zODB=4UgQwZYPipni#vZXS3Wj7|OG zXHIV%o2BlArk7;Wz>~urF`dX@^O$BVSyep@y|RhTR)nMRP)5JjkBtPi!EN=(P=+Q( z?(hdm)18jn#jAFD3V{!?n>2WEj4{7f4C5J3{88h*hFAT)WfdkT&)CA`ms>gh84uZ& za$`R&folk58BA!%n=W?{6q{BlS!!1Mhkx4T)nq;7Y95ZH0Pld-s)y1*s(kQCbY;Te z$?E+6S^X2LzW^qIAi31Hmp&6^j|->9&7N4TI8)ffMQ7n9tg<)>;ZALa!x<Mh+1C2m#_d5PL`R+$Ne!mmtb9h2uGRY%!+3AqV@~Kx9YQ=BmIoAO8AWU#o|xgie?M zzt19wiQYou4+NEK!#gqt(NCFB`N{{D5qkFDlS-IH%awW6CQsMhh2znSoZbKxw9Hi` zt(lg?g7Wh7vDFSnuaoR*eHSs}2ZGn*@qflUq8e?|`?dyc^gEWJ`P+}nt`;b1&@)gw zJ}pTmHxd^TENOlKcukiXjUn@uAuw(K^jxQ0pfu;X>Wo@^)8rWlC>kM1je>9zUGlaL z>rQyTlzsQYf}`iLQ2l#kj08qpFK+0STRHLtq7S>z?tvlFzeLTaz6d$yTM_TJ9EF&mP#o1bK#NI{J7@;X;4AgGvVLe^iTv$;wf&Z*3S7 z0fg&jGi}RrKJU_V-dAoaiSEjqC=N}Yq3M&-0cl-pxdqHZXbKH;rF z-VYcBXu|=nQliHM{?aCI_%ZY%_{fOS zEAvj$?g#wB;p}VEH|{|LLSKZSe@iaY_2+Z{-hIYQr>sQ0Tg3*Cd_DvS)T7|asFD?j zzvA1Fy4LT}=McQaVpYGmhO~L{=UglfDEj$Em)+RjNw*4V(qqh(L)s+KiRmpg`%Z$y zt{tF}^`bcy5IlYr;NVG{W6_5oVY1ZLxw;v6CWEG1Jjp=^n!QQLur0jzbEHr@6YXE8 zM7P!tia+^^CBNuHb(>+qBbDV6S}h~O@zS^_m>XssJxHV>NRJiI;s^WAXt*})2Btx1 zR=tEfZXx>`3py$R8qFA*PddIzdia9un-dRGK z3GN{?TVryft1$WA5C|EeF<{Ys<{LLg*S2T=}BNI5y`DZ*^jSZ%=`@o3OwM1-GLJ0kv?_G+o zk7I$MhOZOzhzQ9@(-1DTtCR&UnK;YCmiL)HW1%0sQ(z_Z)7zi%dLHv)rd((Kb|iKqdetPKxBlSvIB#eu=+ z-Ld}kzsFlAL&u;L(rZwY*cN9~kG*KLWr{}|*tKljJQlSpeuv-YIXD_;)DS|* z&~VJ_AzEjQFfo8PacPl#kc`c%z7J zPiZ+gS^F9>MEttXX{i9DAak4YmcWzN4b`jwej~BZvC1Bgm#x1PgKBzS=?mInT9P$9 zA$sWyRuh6~_|CAQHP(ccw5f7Xkp;?lH2o1g;Zie187o?Id5$xcK&w^%3i=dgxc{yl z=7DR@#mSplamh6U6(m3o7b$yaTeS<* zC<#9%GuOboR?5S8l>eH$j7qzBr8zd_^!Y1B;pDEMQZ9bbOh>9meSbF#VDYcC6D2wQ zW_WzoC~;>QK|5gNN}Ga37^xipYc2_NGM|dE;g$Tp4_3dF-#u5uT)*k4lrV?@nwC`s z*q{nypQDV6S9sF44I>W26)avXmP?u zSvO+$r2>c)VE($J%ze&j)|;i>TJfI z*$Lu(sZJLO)u}9!koBZwgJuZ{w3T&5fWaEc`#yVC1IfCxjTdrKK!5urSN!fWk_X$C zuy%TLrbnC6-UY&*sk5_Q8|m_q_b>QrFyVD*l1T)sO@RD+!mkbO7e1w5>(t*?OX|!s z=;Ur+*QTzjQ?bd2#5Fa(C3I9sR6O%0&s@+q->LJ!A-5*24oSs`n6dq8t@y_{Y^1S< z)Y)IgTjJ8Z_DR)BnuzeS6t0ZVh5a>sU(vIR37gH-qiJWQNm?4c)LpxUfNzs9q|UEj91hvL_u4k3%hWo!`A4h%{*b)WKd2;B zfWDpT5?6X|TSwq=hvP%Z&f|M0@OLsbdq=T;Lpi;0EZHd4IBH^{nkU)hP?}2>@$Jsa z1pf(Do9OC2bo@Pcx9arPCZAZf4knjVn`j)kA0C08+%sdju4%8_L6ijHR#ww>9&-v_ z-ozG#y@lKBD=OC!h4h9;+Q!k#CrR>1WlbNOY>trNbwb0>d=)&Uw~KQc)m*J^?Dk4! zZJbS9^gsJmZ1a(b$K8*j>M@ped9Kh_z?vl6c8z|)`x2pP)3|Jky@#5n5Ik5&R~HN7 zkHIALbbZPUSh1(#?}S?dwU>l9Ag72?CCJqC&HAG(%DK~XRsYn>)ZFCpi@M2+y{%Tk znZ_KRgu1EnDfFO=%OB6@@m9Ib?@#CVsErbFu0hu0wl;h9GF;hr%5Sr2-M|O{C*)s9 z`InOW8&w9PuF?9EuJQNm@Z|QFw`P`BO``V9OxgQisztpk++m*9+L736Xdeo&Dpr-@ zTQ2>j>y+K*-n#YPp4hPNO_j{JQfNZ|CHBZKIA@dgx5(uEYSuIMI>G1DKqOTmDUsuiJLl_ZQWqmsk@kmGua(Fy+@$}yqclOLwt=7NVVFk@WM5^Nahv8fL)^+1zsUD1ftc z7GY()`(_m79K0Y}7=(fQftEBx+?PDH8ee{nnvn`$y{eVa{9MwZ8RiS>nJMibF|usAp0v?#u(bq_MSQ+aBkWi@wd3 zVa4odA^a*O>`Ac`WV#pO2KtBeW!mc834s+`J}Hl1$l--8>xOTzg2{HX+9WFVllgdm zklVF+f1_+q?-2CTn{k$`LdW>9hK+M~$H0~+1ou)z4H?aOsA#sviJz^`1?l=-D>=kr zo8(0fcpi6*0@hb3Gy}nfjjZwTp*~xNLfD!yveE&r*tg;Il=w)T9afJLo@(jU1C8D+S0mj1ADaMImJlk|vkIv+PwhgLIWu zaTw7-WjfslFRGu%<_Hu|qnPC1hj$zcXG$U|uA}8Ev(?B;{tr=C9TipgwJ#w^D~ObW z3W#)ft03JW9n#%3!~iOSbV`E~(n!Y)1JVo~A~ocIAVUk%-^KU0)_4A3F>~*ld(OG% z?0ELG_nDO_+_H7wb#^USN}JmGmUb^@rMNkIZK`nQ>cW>5Js5mTIl6Ba z+v(ssXJ>Zh3kmDs+!)zRaI@H$3o%l=4o9*WpPwoXJgk}TuaCGz8(5zARhTIeRFEn& zhjc60KubgEHWt8)J6FQa5P+VoX$Rk>&X)l^z%94Zt!X{Yo*qhzd>aWI^bs33Y7Af+xYCVUTcC;rR0B(rA=Ip0rP^v^CV0DI_ZMV>G zjvzS=<2urChSv$Zp+$e~BX z6lm&}DW`>8dV7FWt`+XReD~GSf_Unr%317wu0seNS=j@o{b)T15&eo=2^5_Qp?XG7 z0I`KP9%2y4Y7=eIeZ_krucgMsnf#i_4Vd1Pr3$_f=lkJK*vwFUJs!tI0Gj3h*71Fh zIk>(EZ1%?L^ulcSo&TlR3a*!2K~)_$sLXWE9L~Dr(ht|pZAex*>Thkkjzs0I&U}h= zZH|G%^iPNXC`k`!858%;H##(D6Ney@_r>Bqd%eF6y}47^27u+7(B!2fANoK~WBV{#qCMV){Vp zJGcKFAuy1TgbiG>jj8>7Gxug7qc?u|5(lWF%-Z03{oGW|)aSZM^8RbeP~(rbd0{#GE;L_~)DtG79IJ88sj{aP}!p$e4?7{B! z#lVi`#p3_&E2C}c*8@M$ zrojnI7E?7b3v(U%reuuq;lV!+}G}CT~51UsBhp58p!_~U57BBeeT({3_=0{Xc(-tGIJv6Cq%mG0KYEu zxH8W!eHDk*`t4&Us!G)AeQc<(QA#}fy-&UDNjPpD68V{dSdVs`=1ey4ubyolA9%4b z1c_eSt!gL4K8CA8{NB8Jj;cN94BRRr7uJ{ku)Fo0J~e?S#6^!t_*5u_^=|3;^pokr zz&(q6Go(tq&+9q zI<=cc>;5L5(r=q%y)pXxcYZLKBnQU|zM)t8WcVGQz7zj0mCF_SI8ItT#~A#LM_;;% z-Zw9Z|8$?Qhsa5+W#`<(xDjEsw-2`k*iaJy-hQIApod$)=i2FaISHX5BNIA6HrE&( zuP4XO$?tqlVO2o7AMAX~tTdV7@Lj5ZVGCRF1fozV8ei1&&tmWLvjy^tsB-vZK8r>; zNQ5_0z@+`dZ(Pabr9Y2By{}esgU||cnhk0&U;zznA(9X80MH3?B+qJ0vt;1A*PF2) zI{S_1r2(D>b5jOZK<61hdoZwfIyXP|owxuX$zWj~;S={qJ-@1JRHK`l;4H2P5n^(6 zYd{4Y-f>334;6Am{dVBROg(|A$<4!OSTrO)MqKJFkQ(XN#^9QyBj2M?zI&u44|W6k zoKQEWk>pOo(@5dEn}rX003_*`7(X$u>6idhF#2*#NFC?JxjAw(0(t?|v-!?S<{xjT8Ts|AcI53GlYF9~z*o9uj~fgqNrpxF*EkyklMSUh{C@H^B-K42pd9>m(ibi& z7u-zAmwFzd)*R|z+p~Ku-T~sbpp)E|*2n?K2%-%M!(t|5gjH@P76iN%Ry5+5-aZ6F zJV3(}{=-CtP<-HQ>doC>)!SpMiu)fHcd4>C+1&{_RYSlKKr)AvE3XU%Gbll8C}*%_ zqK+m#j8LiLD66fw?G<)KMDy^kod7+{3#u0W)~4lJ{F-;=4$WO^mG9tbkUkFwlX-gL zet0htJYOQUz!QQBb;YsI#aLUV};kp-GtIN#xOTIl7d5?z-VAv)>{@ z>fJ|%_VO>Uw$(I}QlI!KHa`H31Y=z?;MZ(@qqx#r@XbTd`Gn>iuxyB#d*oeDXru>F zW)PajAfXFPmj2M4p17&t2kVlS;v2VQL}MnY);NH@@?_ZSU=o0sd;Dx+tgNQkCU_TJ zVApl@Xz)a%zSaR~NT~q*@Q*i}Y$y_oP>bFuT`#L!^wV@?`Cd>%_7#kJXTlv~z=?Iho!D3k|58DgS66#@F5ODou~k(DV}y5ao}4e(=SOjf zc{@jR&LPpaYw{_~p^H;{f{8qZY zGhFbK>2WMS2}{OE`GW3X>JEzSm5P4yeoZsYvG1!%nmnzr(_fqn%jhTg(>|@fkU&HD z3x}3Fg)vyuSCf5DTs zMRAvbySwud5J(>+<@Yt=67vpI_!R2Mh~6$Z^7Hq6EU5U}G$6yx7n=efbr`!6!*v@f zRpmb52IMNp=iunvkzmp**8PYMOj_p9i-!%6*Fm>~5fb}LHgjgT;%W$?&nH=tY16~< z*?xGBh-zuD3qENhkE}e!jpQQvF82EWq6jM6Msz7nOsbH7>aogA>u3&yjIwq1$jSUy zYMX=XXH*2#i)-iCOO|di9C}bOlT%g{0yLcyv#Ru2N7vs^D^nRhO*1tiK#Y0#qRux$ zr#8rHh0uC&x~ntr^~KkVZ6|Ffb0B0~ILKKI2Qbl4!G{tOS~r#DK%MowEGVjlKvV~6 zV_j0kiQoIH5p*ENQ+A#c#&%D8-#8OiUd<5#P4ceDiu>HTV5MQxXFvNB(Vlzik3;H0JV*XTcu0l9tRIl4 z2YE3Amxm=${dguVaQ3FvEW0lv`XDoaHw{@9v_S< zqt;M%AXQ*lP{fPOq2-YF#b&@u2`2|$K*P*(y)2ppfc-%CE3qZ#2^4^2xDU0r#?GzZ zV3L5q`!w-S@0wF%?s;v*MjbB#qxgM`V=c@zV_$hiewME$x^)Pk$S#)4}I_7a>KW^7kqSJcx-o zFvrB!b#-9cx{VNt)I1x%xPRPWfGWG3E!tYdMSu4U>AN(I*xh=-y&FRFCLy9w%}dg* zmARwR~E;3@S zq_eDh#DT*Xjeof3hNCWwVA(xghvz{~Fnogsv7bz1Xs<|V@{)pb+?-C)tNGYZaipVf zsQa?fCTJX}&pnJ!cINH0j}+y4Hxb1=?q)VG^%z6Y95}0gm>IlSAI#oq2s%VZ68ij% z08jO}TsDm4VTLLQXlvFG63QbFkhS}%%sC^K$l*N!gHEDb#p}4gbeapcXLIz?7?k#` zn4^U8r(1v3y4frzt(jcpH7ltrVc%bB3^WrXxa7Jdh5}$sA{P&SCne+N|Ni>AVuZKE z=MaC@x%EhHrBaXk+Qux@+_C<>s?tw9&*o1@+ogW{Mrdbysk-w0u0yrG#MCFFA8`PT zHW(5hRI+M9>f%d%e1Fia?p6P`LT`bv z80V7U6Lff489cYN1`<+?i>y+($o0JqN$b^XR#L$dw=Kp)2C+xK;gyr?kph&TzF9|a z{gu(HPsDpj`i@PqH-OPs&aLMZ6Mahg+~~>X+)nN9La%kj=_#fJfONrIgks_#IgEO0hU>V&zG;p3bmeEtt-9~ zA?>V(DMD{zxe12mDWR#CSY_&xkZnSP*^(2t) zTAle}B%Op*>m`c(_C#7Xik`h}?#u9#2k)!`$8h{o&NofRwQ!qB@qlE0^yGmf@Qe*2 zjh^HX5hj%nC~dI#RDO2Dqp*`Lp!YSH?z9AzQ0;K)bt`pbjCG3ri@N)#bGHamTRuiDiQ#tir`1SjLd0QNv^s4M zAPtK1e2<+m!EH`6?SC(S&pa|2{VsODod`rhwz;bmg9V|j%!|NU`Z$5QExUT&qMBJmmg?zS5e{$RNT z;@#}m>38xXkTsTmn#oR7)lt+*LxH>TGTY7YCLS|pg2o2|bSewYo7L=LyaC)3yM>hC zwp?MVfK~c5hW^Zm1rWQ?;BtGjv9v6-9$5|4@6`Qx`X; zJUaOGYu$`nkEr|!c|Q3h)|bRfqiD_F4gVT`u%9p!-~Tzgm+d1_G5>2~D*^S|9p3FA z=lA$H45D5EUun%)nf#s%y%$ZKEAtsSbh|_JwvvDn(~b`#r;GmIZTbE7L#An@|DFuqD~P z$sfylvA%k0g$vzcO|O~Kh#lwRYlC^}1i5E)C+5#H$dzrUTNKitAlmMKk6$>>F_R*l zi-cuNjX6AlzoihlIVPN1Y1Nw^pzgVp@O9~uaI#Z2#@4^FD$Jd>fB4QP;v(m-QyhI~N(Bhwdh1r*TO?o5hkr)bVS~ zE?-!(zUznGQfrjFG5lrZ;KGlnvT=M-7WpZ3O^>9olo1nQi`$=TR=RVxefxY|;RT=N zzE~>kKbti@!5jxIJWkqoiN+}O`K1Lp@{St%>CuwWC-1$VyFwhP)|MCDn436#MzW+n zDh}X6zG+L_qeC3K3%Yb1VsImCCpKW77hSw*P<^&k6%hArY> zU%vh9#htjTGp8>b^=d4~MxXJgO}*`x-!o{klL14yk9P?Dz_27}^AXBTm#<)|MS`Sr zIA4>tzw!axv;rOn!ZI|6E-Z(0NY5A6T{5PGR=clNAtp)t+>H+%Xp~7)xHa4eLd`?a zD1_jPxq9+$q`!t9YT=lDm1IV)yvMZ^9(sR>R;tr5CR>39zW3q&cef#PVdA45HNGnr zSFn5#7(Bp{dH8Pj&l7`F)STrH{TuA!CcX{L?4d&w7iYn*PtFp#cJl>xQ#*g^?P|GP z#{}MXX$Y)$b5u-^6d^Va&z%WQb;BP9;`06&az zqCnt6t`~MJxD&%Sf~j#5>DJ%LG{o$SuD&t<#%k`ueR@ttAZ(=6sbjySut@!2*ZPp#Ll zT@cq!HMlXr{I-S|8{ba##JN8mPBCAY@M4xAXD>aj zB;>Ie{8U=KmriE_`67TNOObiIHb@yHf6691@}=YPT2N0GDzF*7FSe_!%y7=t9xkj(bx3a3hH~-bDGq zN($d!7Lhd$N$Pz~VL42UpxA{)V1f3xz2j122H$3;ukqwqTt|QFc=(oiT8>-R!{3Nk zJ^Wnr4ZM>&GHU0vv*8r9alx!kOPK>Cm$<2ZYM8lf*&Nn{ynf^7Pd&Z5upCQ)Bg z9F^}9Q*Z(!vs^3_^~txqTWSZM^@^0J+wm3`zwpwB*#(rgdp4B~l-<=4`C*#}p#x0i zNN*;_6J*Jo?u%cZ8_TW?NqoOy@tHF*zkg^EM&IIn1o1%onN}fi{Cx@)B*0P; zIrnM1`EgD{8+~rubE1O3mx4VLl88P2pNgss@?s_Z5~&`aw9kVPtghK4Zbd*g8*jLL z&>XDj#K~(|=A;Pc7xLcrQYPv$XL2C$+k1$MRF>s${M%8=x-mOEC=q6O^GatuyHH(+4Ucxz!1qTkq3F@BSs8eg_AMe`hw} zNqwT6yH?PoGmfHPF^I0YFUhqc-bFaZF3?_QcJ0feN(f~qO8Iuj6IlccWfj6VKr6SK z?XEgLQ!&2n5C8<^f0cP?yITiOJk?=v2McG(SX0rCK+@-r!^lktkZMtXCH}H9e8Mb* zCfp(jW6;yjpP+-#7uCahQx`c9(SfEr)n|%zmEYg|Tu921Y^QOB#hz(3sxP9Am-db9 zTHA=!H&@oLFX+^KNx8?6tNyP*lQ_p8urqt5>j*CF%8Y|cm{B$uMpCY^Iv zV35XPJH3D*Ie{-Xs2fI^Z!?htJ?71#z}Gwtz1AQaj-b^pvwudh41(A^+>talTgWW* zgZlWipCgFc&U_jQ8J+s%S7Wsr0y!}!Enr&}M`vh(aCY!{T%t|by5ssAL) zsPq=`Jj+!fOX*}*pZ~WyK4zJoK!&^cPXDfiEDLp5XOINOiw6c z+U91^vw`*i#0JXe6rC6lZt*)L!Vchj@)SCKPmKjt>n{Q+1Y%`>=+&(5T$oyb5-3j< zhpZ9YFl;RjzL)PGd~(iRQ7cAEI?d5A_Rp$a&n_rdtV0$i7D`lY>oTnWx}7J3 zIeEj$%zqMBnbz|UdkQ;~`_V*B0=5lPITMGELx8fl_l28LJm#!m@!R9KTZEgRizfHORto~==;hQ#|09Q z$t%1nlSC^yr6F2U3(9wvP4(QN-lifpG}kzDEjHvxF^AQY4Ty4%s( zKb_}qagW)CkQwn2*WY`^BOY^MM_x5wn9BCMu49+{3qxj#I1cwxf8qeO3aHs&f@P=f z>W`7<+><_Z(j`dS$pgip&l_O+4i$}&QJuoPcLu0dTSMujT{8wgJIkwO=40o@+SIZ@ zGr3q?%KW`|qrXL#PeaTu8+L^2D!Cy(QKoHTdO=TUJTGDi$=-39z2dEAX?nDh{VOBH z$Z{u}oT#PTr_Ebbh>eLBXFe1%KD}Q414FmH*>+lePbn+c%pXYOG z3g(W`wS5h60nqCJzuph;no;MjP6u=1Rt0mbhAxm(8P77C z+VnqxAuizo&aQ_WNJnX%%t{i4feT;ggvwFMyWN*KHlawe_3Y zHskmvznM#Bww`6HP>GgQjtJBLg-Z+OAiC7q-t;jxcKKXFPdh!(P`HL_F^{uQ$j=?; zvxy5n%*BxHKKZOqN*Fpv`r|Ldpr7=#d2Oi_pT%!Mg*?ZtckWCsJlK!0J&H{ASL}iP1*7zvcqK$gtn>W5iwbDtvqm(9!9pu{D=2C9qoCr-rvnC^`2UMc)Hgw ztnOH!sC)UunEPFi_=21Ni-Sj}5Q5J6$4Jzm?ux$%6Kjn@+;8 zbqv+Ch`rYK`kjx*+9;~k)JunWikmz$E1p)lz8ZRTE3SUPKaCDoIM(U@DNji3HN@{j zUus!B36L{x6YJ?8c81ZF?@21J6J`0%+w-!!Sy7>ASBeP52Y4R4 z`qL`Xxvx4Zj(wVFJ77s82#{^EC&2u7dprB;m}P{GD%yGW)9=@56EcjV`GO(;h3mZ- zr14H;tt7?stKJC86yRLKrq>^HR9&~|q8~P2P!_$#;R=|8kWx5P8 zPF1PsP)?X-k|ntTWcO%_7_Lh_ts6S9G)tEv`yBTYI+0v{Mj!#7a)yXuqZO z(1n6{53OzIGn}wZRhZD4rX~nhYlSI^%Z*xm7;zj<#Z7(y8e0w6(M(d^4nu^>^>3y` zHG003SE}W+b~C<`xR~;DzBQx1@qKVRJVm&2;f?bwihlZOLRHcHD$Ts-rlu8@RrI0w zZ+t7VPQgfvHU@j-J6tX+ibG4hi481|bnBw@njp9R_nG^nNTss46YND8B=q@B`rV7o z7U$c*?1{Nv8CW>!rY*hm_@lm%Yj$oBNA?b1$!>3~?fMFJFqD3uNexN2Sk$r2i1b&b zg^{i9AaK%a4!RB~!OY7M^ky|6ko>@UaE4B_#JGN;`O)-uMKmY0-m_3jUmdfZb-S#D zT`y#S9!?dUc=@@`EpjvM9Dj*5CV9eKy_rU5;S>xkJhfJu_v8J0qMy2VkJDo$G|-Bt z|1vV%^Bq$w#$jU~A%1}!37+5$- z>b0u+nHC<2>FpOQC6a%RIO803$40)OLx0HM#>Y^qR>e3s9Ui7|{cwe*ax!d*k0kuh zCM05S-@R01r~5Y%?S3w8bMcPV_Tsb*tz?5|8MmZ@v?jYog%a0_%-(gu7f3bfXLc*) zcRF7R_Erjbu$cXT{0-fg$XQK(o#z5eV&i>v!HWKI*J)X4is7Bn(TBq64`B|;Sy<*y zX=zKUn;{(cm_QQvFv@DQY|$Qb2`nh9nQSPVsgY|}k=8aD#lYj4@awAQ_u|ge>X?yh-M=MUNli*N%1Yl@R?oIimg~1ld#4MJZYhI#-GdA=ONE32%XA!8&S= z4v?{14WJILfg9*iAV$i(Ru37qd4!wFwj-!ZzU%H7R}SHr`aeI#BGoiltHC=z*JDsB z3%MS&g-cv6r3t>!^%|K_tQh8{2b0`PKcv(c$#$`fqH z=G34`^>Q{9VbD90)a7|5X*&?EUz*J)FaGoE z0;#k1BG}ZCla$mws|2%*Shu+vH9|<i#X_tA)eX^AueE;8JbTXyQc&K493=-|Yj`tt71*IiFhmtOS`Kh)q zt?J#Fy>nfgZe?{kBq3|+wj7EH+2Gd4GCFP@0*j6pTKzdRl|R8Q4)~Uv5#rfbc|7h( z5<(xqK~01#z(-|R#wr-QWZue!%A0;sRyIyWt7*nt332i);VAsjWAo%1ReqTe@$72)Tz1yw!RAKP_4%nUC2l`< z-LA)h)+voNq@1XuEKt6X;`o#WlRN#+OjoMPu{V)Gep{~OJC250w!xKaODdiz*W z2CE%n()J_1emO%*R4Bf(z~iFk{+-JLscE9L4F&L&dX{9k__fe}}agiPBP;41)tnAV1aqf}7Vncopy48eg;2kg~vb*|EK z6M=g$_UtB$ROXga^JRuua|^w0jd4WYZwf40UMnRJux_5CbU92yMm5_;_@wgzg2s@G zq-O-)TSfqr-P~R;*(v?J@n=#o##bK9r8(WHnDukkFVqjtAk*0atH*1<=O7&ah~6GS zGUKn4tfTSukmObyvNwGK!8PPmE{G-r)KQPAKo^m5_Y{{u!1VzZ00?}YC>a2^DqbPk ztw>i<^?Qko8uc+^{EX2UwG8dEgb*fOnuCHKy#QMDb4X?0P)~T zi}z{cJGRM*#LyAbBK7pFpqxs9^PJiyAHgz{@=7|lUum?=0FFjj)NA?S3;*HEa4^b$ zW%Aivt{)4^VfE~$ZvusBS4HB>5{>s{x&LKZ$w~6D%eq-@sN8tcU|SlJ$8hpd(!zek zPaLEkZY!p=z7{@l<2Rhmk{5mA-k6Z2B#QQ!xNkP0rT|p-=PXD_bzBy7`7cP6WG=I6 z@-&5{*Wi}av+K^jyYoZ3geamGiUoL;?$>C)>ayzM^JutRZ}Qcg%c$~-DG{6za56&S z`Rr@+TDYzs?gGD(Wjg_liEz=~tk`m=8{WhtVs_?VSQOj3{^}x54oQgc|VZPXW)~USrE^@RYCZshZSI zzY0e}vfwjH<>($rQwWg5e0TV3N1_jv9w>0fnmCBL5hLDR#;w?Sjvk-~0eTOc;N*$% zfs^T1OTKDIeo_K*(ZQqF!5}_Z!#h$Jx@2QA{U{^Dk-X{Aw00IdE0R2Cdvj|D%puSb z^8UsL9@)~I`lF9LCr{Lmb$O675uI$M&bx(2-G8}VR4?J>vjLlxDA^zWWz!(VxuA0d zJJ^x9RLOJd1n`i^spoZUPgl8}EgJ z2|{3fQL7-i85!_?=r>70Ft`Koy!TiYGO9GI6Xj=gQ|bW|Fe)=tb-5zg&aJ92R)jPo z?C0LDEU8b%iz&+jyP{i~?zBVJhFo@3wtqVH`1)(++7#;{YE?9A(c>eSsoRF)Rhi57 z#V}2T7e1i#l%e<*G6gU7W6sV(t^qBkb~_@WPWvv7Ln7l%w`4wZ4B2gfp?M&q@Z&?^ zJum!g!==Yrb=oGKGx+95pT;x-z==Ih1o_UOyMYdppC5a3R?$LURrjFsMZBZyNpYaF zmC(i#YDYyZi=EoJG%$?HCGjx@R^Htic0H=Z@@>a^CZvjiuC|P&`;+J2Y3dQlll9o@ znP^O(K>==43BMBTS!bFkmbrq5+m-^idS&XfOe&U7goQKH!p^lqSTceG&u=;!@3Ql{ zc>?}VqP*R|4`_5q)G@mbx6<-@Ish?z;2rJCgOoCYvY@343m}ZBoVrH~o|Kx!C}aAf zi0wtrWWnWOOV+XtS-)!BNCpW{w8!Z|c;{`RY@Kky(ev?KrD1Ktgi|{dOTwsdHk0w7$bbQbTx zrdmAU7clGlY4sk4hb<%F;r)B!0~%U{ctI)3EEBkH5se+%8{S(@o40Z*GoNM{+LHq! za!+$Ki>;dpwOndNk5dn2)fs|AvS%$;md(fCEYLKKgx}eZijB;nMy%&BT;8EE0nR28r=VOj$ z!eF_pgHxZgPcqhewSYNsO)YYZD$|5RZ*pO&UPs|ZnA`Qz(Uy&H%I*C>_}7R0 zIYkOTfny1S*HtxD!L3!(G{Nb;)rd24pG4yGkyTZK*Oy=U$U^-H3$B)??~MG1!SrzT zC^k5?{Mcbj^P!MF7Vr1_&usfrT(^G8FKCzDN}f2UQT-^d)25ZsZhUUB@3>;gZE>Kld#gLC`-~c#z8KBPQwjINgW2~!=c>Le^@1`WCMP4>v9eQJRlwQ- z=DtJqH{pVy@B`z@nZ+_NSOlnD?3(cZ%eVS^u8f@{rf~u0#Z~#S{<{mTAM?Y)Y&`oi znZMmCq&7=^PbwJ{f)%oo%&=1v{3U;|34-Ca-0xPEAJ8ID$cz3g@}g!B_=qm|{} zCx98(ca>gAtfthC1xvoZD);$iEn69j`F4=A4QoWXB1Y~M%MkT^Rl;e1wP_at%i;11 zUakkvr2wA_b%;%SGHOZ&JWO!MkCCC`lmDuf;X0x z{6qB5F-z*HA8Jh!&hE$EY%NV(GR17gJc2AcRh|xq*rJrNx~lb0Wb6GhiRLJjKvR3{k_pN*|`KVr-eVag*vgbg)b18qzIs9X9ktNfQM4m7r}33R|X{CDcJ%Y(g7 z>z%>tXP>t~k7YOcHC3Of^)oT}5|DI>6|pt)v2=eeR_t3^Q1Gdb3P0&|WY5l%JtwGg zGDQJdJ9P^Zo0LSf<1#S)z33OTbp|3(KtoY$UG3p&dIo(i7Z)LTmVzh;7ibnPax2Ga z(z0;--h##B{lhy%&{y$)z!CxA!=Z|iqQ(b1|CJ7aeI;P@uNE&EHIDC8ImQ<#Tz|Po zsiJ5-#C)HvU=W!^yJ;D8fBNgNzqRPgT7UO^kLR@;MDcd%f60Ojq~T#^HV6{2x+r-w!7+cLo2;!b~cYGgvkNe{0#ZkC9UkaHzAv+a=Um* z)Q!j;O-`jNPsNGY0Z~0|d>nw*_J{?TOkf{@YpkNg>ny=rz(z6D-M$ulJtjfqQ~6dd z?LO>Pc7&wJqT|>L{mhyW|E|Xr>KlLZ?5mY772h&Mryp|@j#d$}4j$i`adh|-BTURk zeZWPC2U*8{u~+pl+mI*TQ})-o18!M&r&76m^~v;K^`-JydIvBU1zEO?;uiAy_MJwM zHQ~E>|G)QXr-UTY(|&PwdFLr7h$bC9=N1R<{aI4zg|9ZugQb6OTDz+6x^bVN^^4TY zPZHRDI|-+z%EdOTs+Qt32e9>a*Ww753z!G|qX(ub;S(!uLC;Me@saeH4H3w3*upM3 zk@~ySnGX)9q*>Sv7rw1STS(+aV(_AT!_1Za=@4q;986B2R)qb1HEQ7%(-?iDp}?nR z{?9*~V1NCT5%1q>`*-1kqwSNp^B|*j=1_gsg~!1noUUVEs17C-Q)0hqa_g;Cp@$uF zv@pZ;eD62P|AJM~7psglAFt+!!|g+NR7!>{24+k?d%fo6@X|uF73@o<@_j)1^oj zL!I9fW)x15LV2Iz?ubUGPvKdTL&erWqzCkK&?F>!H^v=!*7!TqIt6>^UM#o~Wr|Uw zzlp(wpd`o2Wsb@r9+AtJu2e9MxWjenCz78tvNyfeSGu=$!isYBSEqlM6x&nsuS!k= zCo#NK7fNS}s+sj6THFYgT2nP}Jf^>^;}NswuIHza3V)Co_~M^T8qfk|5?IaEgy%gS z5Rk03DK&_`VUpdn9?u3cyP16*OG`6;V(du5AtmUZ)Ys3?4!WlfKmChXbQLR!-bfKnt+ciXHz_hW_k9GqN#^p& zNOI)ip^ZQC+JRzlo_J3P+4Jl_LHLq`ZgfYW2u$nE>mUVM%*(+E_}AKb#%+soq&Qwd z?q?A41T{{tkK*>kOA@ri7pTw)OA%jzp_!RgA;|L}Ou_o14Y49)@sC+mYUy`k`PsH< zm3nG@-ll{?GPSgW?l!(po37WCI}g{zseA;hs^Zy+{TJeLKNtUSf_3oR^TMKrK3~l- zA2g1wEOGGUe);>M%{-lnCx3gU;=fJhXN-)|K~^si*n&!i6D$!_Z3T8S+M&utDx~V* zUpg8f^Ds_5$L=k0{LVfT`^s<~j7GgQ`)_|+z{}%5Jnv~T$G%7Em~t>pv#MjcY?NTp zr%C!Y)iw%!lobB*%oQ6I7M;er3irKMBdE>HMIhUN%P59xP0uJ7uiz>dzY2@>1@iJ3t%=u)Qreu`pgO38qHNgSGb zenE%K$ezn22T$_3O!14$;8oQx^Ro~CUIx<{XnmbU4+kgzsAS#CGiFukae|jP2_Usd z4Ae?Xm`My77y8P0aK8{nx{&lMgXpEuQeN!Ji8M;t3*Cs>PKnO%9(W&tGT}mRPOsfTP^5h zTzH${+3#IctYZ|Dck~!AQSr>>HKM8dIWbHlnRssICe%V336>hZ7sZwA;}_RV zfaRx0HKcv>MB-gg)q%Bo2JhyR5dgF&?^lQbiD$02PIY?VzIM9a;8siP6WOH)C4EBI za9;6QbVCx$795*zK%9Fk9>Zqv^xKe#k-PQ;$%a_fk0MR378T7+`-GF7B(dIGc6un- z`h-esQsdE|zw?*OEnD;>`2!U%;x8wM-+T6bmrkBQmNEff5^rxD_*LX{`>t$Vss2{N z+A~;NIQZv?8;&ZAPi4D-Vw;CS=G9ZM!-0Id@f%w{O5MS(bVz(q1;L_bL5~!s>bok` zO2o4#6xUcO07}bL|1UMg*AxDd;tXJ^h(NMaH0HaUX6PnI$hH=%qq-YOGf`6fC6;{DbfJA&3>@}$vzJIP_bD8 zaLwE_b$_?-v74h}70~VXSsgwg$>tvNeNB17-qHwBKV|8eGPcSq0VFlgr_6rCV?kFv z@en3%cFFS%a~AJIK9h6jWT8sxBUr!B#sp7GMq?96!8@mGVkYeiuuQ&6M_#c0@f;ujGx{p=h>*ow6d(4WnvhqtqE7P^ zW^?F%Bim4``;X=0y1v8q<*uLq|^myw&C}!@xW4jV099( zJ`GrjMVsoYC^~A>1X_XYfBr6b?=0zaL!g$g%7(6m2MURRA9to!>GzZwSM>8rN+~a@ z0W&7b^+o<0zYF}PJ+g=pr9N7RpQXH&qy*JVV+X?3suq-KaPq!kle0$P@BrMevpp(G z{Z1SGUtog;2X8PEFgCDr^dTGc{3yVc3YImqep_Zy1O69-oa!yDy5WPPoft+XHdYz4 zUunN99L^tN#DO;**6C%Yo_w$38hN;QVBG2Zw2NUE=HTEKoAP|Q*)3Nm)BLR5|LQjg zoO)GVHZO6%tv*oH6;T?ZwaX6cVD#RqEly=-6L{FpI&>d_1@!=n!6nkQ&e}`hf_@bE zaL{)fR}P=b=E^K6yuJS67qdLDRB!bI(0ElTAsi%qm^!Bi-K2Ac{<{?*ezS9?xQ!Fw z)}?^E1%x>e;7W{iP3+`LU0VTMWtUdHpJIR&wJUh0(H zJLU=|gSSFblLl5MX-tg1Zq9I&Cxl^D7X}iwQ?J=Up745Bd{fr>Ph&}-|0@)Pq8d-k^XFI)syJy{WW;DAiU!>V4U1bq7lS^%eI~s;bepfiLwtI5kC-MG(_E-1J zkwste`TnUXMRwFhapmO9=6gtb?#XizS3Hj^e>Z8GH%n@PSHXzr$D1p>xTY%|H60~c zM>>xnq9tBrToOsa^4fb*Tqg0FRB{|Q#3qIAjcSn!7)g7O2k5PXzTJd!Cb;jfe4Dxj z!YW4lB!EX%rl!WY&|p={wHsqx7gvvty9^U`^YUY!jdhgv-v2c@?<9x-s}$JO?;kH> za-}k{I6D})uJ6s;{F&AjNn`Qge;9iaIHTrg;S7D*k!vQtf}Xm)5@BR=`=_BKM@FxI z+>v--fJ!Qv+`E9c_;)^tq^L@#6z6iP9eHRK$D+CwRn<(Yh(20)xx@Jg=>_x^GG^6} zf9aB7Rr*W(Q5aDqqGVEfHYPSXM)Sub{pn`$eU8t@B0oxU!3hk;6rR?X1}-TkD$@?xeHfG#v+Pj8>^dEk(T4DEPq4|+!f+Nd(|-s zmd?%E!_>J3$4Qqe3?X-*MNChZ;x+`6V4}lcS^oGLX`j&)I{oOg&S1)!^~v;6!+L+@ z*Mh%isAayT-29vL@dpA(unQ6=Z`DuYnt0zgz^%mDJ zUVBXC?Sw?B6F)73;a?M`!`_%lzWaXAiXw6usD1*r?WE0SU3{Z>1usJ z#GcxJaPjQeffZ?4y#zP@?np^^{rwxKLPNVgV83*hA-@z9+oMHC84uh2U<)J#3hK-S zEN)6*9g}e~fr{4}0unN{VwSb~Cvjj2iM6?A4VGqhxN*%m6q9MeJ%i9^Gt?J++>6w}|tIlv>9V2hNBo?fA=l z5%I|UsoT(|{iqOG+!yW@8t(yKnp1wLDs^@$A(nu;wNl1z`N=aiNB_Sz| zNOyNE_(23gK)ONcRF-Z8kp@YrU67Joa*=*#@%wx4KkhEqnYnXk&Ybg{=bR(bHfrQm zvqbM6)Uqfc6W!>Rr{CDyW-6{?z8!!4HqXv;e2Jp?LrRt)hn+}E%IV!IIUxP+QUeex zo)+rPJLm?o7T5&YyX7&*0p$`~HbA$ilH9{6r|TsqDw)xRZ?E(|lK%IhsNM5GO-qeY zE;1D@IN~OmoQj8=@Rvd9QzxbhNxbkg0#xR1+jlM;;r6nr-ty zi2IxsS06{>46O^%of{4)&IAoOe~F7Q$!|8T^?w!@A4-*&Xpq^^8TA8*Jgt}#*J*Ed zYS;&@mxUCV0d~1vdh`LQEPWdVzL~y|C^u0F+!@CF2^vqPUDswwGI;&4f7*wByZ?2v zi!inr-ofv^&Z8)6ng6Ve(mF*h3aFkAZV0T}9*^;vXRH-y{^{K4v_i0dfFf*z`2G&% z9opZPDT3de4H6eCY9F+wlB}NZ;TyWQyt(2KPtPPLzXr0jJQDb<3lvWmSByymDI{6Y zYXL=Be;a(6hZi!fmT?x0?TinA*J!Nz{W=USmnuGRguC-D((T2DN8IQ+#^X7c+I`MW z#XoQ9nO|$gBv<>r^2r;uRS3D4RlEh#7|hOuTy)RC-D=FS#cXW^V9BPGK~Q(;=M=r+ zAuwF$L$&aO@0Z?v_WT$y0=m@_6_*ieE3`3rC1EYAa)F1(qI;}qu`f_BicjfOuSxH1 zl|B);PeJ+DU0B%G89Uz?`;L&axa4|~(Mt-}WvT(X7iv;t1%oWF34b&Wz)owzpUdNA zD)u(T&1H;P#aVj=Ru)+Wllx*h*LpZ$3^Mf-+1qvIzzgQpG|Q>lV!8r*AV>!>>~MrED)ZpMlI=sN zgD7?@sfT^C{wE@s(Ob(m(K<-{U7EV~u^}_FC7*BSRaP|cYL?OjmQVB8LWDC}!qUW06E&Wak+4BOsq zz+njI_{lKU$J8KQ(QKyH$|1aDk=jq)_vK~bkQ>2HDT3IwN==atCeo90H4-KMGHtK7 z5$B4MZPm>R;sl$COW|t?xDFt|p~71A5IQKJ{j<) z$O@$hP+WcxnigIBgTCQQfEHaTS+1Q`XtH5`u6O1S&o4LARjoYujIyTJL2@I99Wj-D ztC{ejc*u%JvY*>{X_{F87CZ8v1J|T#NYK;+x{QNB4PZ!X2X354TGASzYm`^9Z)Ad; ztuwC_4PHSo`ED3yG*|gO!P3Bd&XPx}q!I-1kvkM#%{=M4<238dq#;}5#ui5krFTf2 zq^#cUk4*R0RT*_pY(8Fo+rdvO^GmZOb++9XP8~hFAEB|o)KpS3aauI6TAljbCvQ4q zO4UFA7FT5ja(HkJCyK_N@9)|ZVvd9Wof9h6_0n+`qW0EpUNxFaZN!%ZPxMQiTazFv zE;(sD^6YREQNFc4=45csrTY5Y`{_|VEw_{v>|MeF}U0(`n-x>XI&71gDA!NooKhfqkA%Sk#Io*o;*}Ekx7dmt<4l@MLE=R#3djjm%5K%nt|2;+>^rr=h zs+J$g==XNCRHJ5$uuTc6?OkBkx%s91?l>kj;D#r>IlKy8Lo&EdImN_Y*e)aYnC8sO zso`t4^rGL4L~Qp$jZAo_&sphFU<=QR9Nz|_zBG`L{MFgL_L$PZ>XTPHPtH!~P2POH zC24l%JD@s%*K}*PWt750@)xbzx;-0?)6VHeV@hP;^n7EXd4ShS1#)ocVlJgTK)B@8 z(3|5E_7lTBJ*PX7P`FKI2{!LKWmDNS=J^5f$_WO+uu8C=DZIJ zww!d4vtJwhfnQsRe@w3T#iJ~hBKwM8HRqaNmTIV*I!*HI>8F?|U|Va>6UJlXoT}Va zI8DP`8?oUS%V0P}v`RCtML>l7EjK+QG%tQE49-r`4$^H0)b&0u#BUQ|Z|~G?9#${Y zd9A}_3u^YCeQynVsu^6AUj+Yvd-r~NSemd$i<8bDrTP|aM%7jrjVsYM`@;n1wW`G3gmkwaZBhs!XN{pzVjJO8QFywe#rukj^v=NGvDbidj{F zTYJi1*)JS>60$we0YQ|1UgN;FpT4!skDklLW4@nMB{h`ssX^pUL(> zO5J%(%VqbGnhmdHo|J1#Y}&$}wC-pwV_@st=3Y+y-9S|Hmg0Y9#0;`Wr;&{Q2dV?) z_rgKwv>khxX2OB-9#WH+ViJA%A`}GCQQ|NovrI(c zl)pxaP`s+}0IAs2w{t1~x{&be#%Beu1S;;4F5TKJuW{=#njr_@JqjzZqSFjwbl_hJ zIILvOTpMdG-cKDI58ChX{xVQ{r7)x_#vpcp=%tz&+C3CmITfrdL7;vGe$T4bl?osJ zKyas_GvPIeiX5b>k>E-v=t%KOkA6%Hx#xa1Ba!Tm!xkV>6n_-Pt6wsc|Cl)WnMg>k zDd-mD5iU#`d=Ii10iWEkGdajQu0;p}EkCYi+Ik6e1I;U&-%W~77hV>@?A-3TeRzC2 zWOlt9A&Hu~WF#6SM1D@{55BM;q)35*QUIqapuUgSB5RP*`P%6@na_8?j#v17^9m{=ZUmIOd|_Oev9}Qsn3d$!%xP`slLQ;`D=QYV7Zx7*{NrwE zK8wI-t0BA8ZdcSf`o&^;wwPWrbyxDGRHN3jXigF~@ic+V0DAp2lZWj5)?961*NPoI z=M>9L;?w8mNU!A4DzpJ%JLwMu)gK8Ii9HWOi#$9H=>4h@s3G3oM5P=)V}3l|RPK*n zyt}=A@zdmw^T1$pGS8&QFQ*b#h!#_387%c)y4$4}%2U?s;=WJZAz4&IAc`0g|HwU* zVeF?mHLfL!q;o96+&P@O%%e+N5_5Ef(-iggvqb(cx{C9yUBL)*+vu<;D?K0TkO)5B zVasn4tGE1K*$Msv`GgLb@2&AhHCxrOuOCj^V9mP}JUBx12|@y}j_}1*{>Ag|5+_xM z^u2=4ES^Sz5WhzCvzJ>|!ggnfzNc;m!=Aid^@>Y7!+r*iezxcj3EtV@q>`8n@QLqK zZfced5B8zt)yIqtg2ME-)x->a#9x4^-)BB-#*$qG0L*Y~b5h&UTh<>xo^WF<&d9Q5 zgk84$Azl25!#Aa@{;$Ma>B@F+<=UHq5ck@(u_>FU`l=_Xq%=^K{TCwpXSAQ?BzOTu zGLh7(NFK^7v#h#2Gcd@Kkx!&FJm>tozZG;ejXQYZUp-(Odbn(9Wx$*$c;WP9Z%XJd zk4%Mh>0`RH1rcw~)kdia^lFJVE*f1EwLbr~=5*@)e+tPd3{=q@@);BoP}aa>CCpRo zlqTwWA^1=M4l+S|c-J6rW4Hx1WU6L{W}t;KB%WgKiLAJ2GzhbEm>}ub<0WSn&wKBM z>I)SJyfG6^J6~;FN7im13D)cSOV!~-JEuNf9i2NNGX$;IE=20G#vf^tHP^aGR(VyK zgkZxK^2|YbOB-SW0{n$nSP|2zzwb;j)eRt)PQzr7++ykHKK@yLqX!(*r^m~mbAJ(GI5 zzg2B^FJxIm%AS$eu-bfQDL>e{;S+?&xOTu7kUz(Gv)LipPm&n2e%ka);L^hw#}u%Q z_W3Two#3LOfen&=&_JBx4uZHeZ`~hK-%m07kf-oMkMlP0-OXWo zb8gRgTa6(_d;^aQQ&axTHFJfaD}$GQVjFD7Xd@j#uVwqpa81G!MdogWjq@;_FBj=S zXt{C&AJ*HzC&@!BW0XY*IS1q8KK#y#BPn^A$A#{jUGeAjFm zMr&QcqcvmJ+>Xzu9@FxV6=YJEx)?rW_9I%3UM&<(xsUm#GCz)^abER%Gd`OTphHT& z^4&ph1qJJwS0`|eJMi+?JqKQS;ls3jGR?nO5T7~)O!HtGQlsVXOH3ch@5-v~dIJ;# za5Z((iJxLnacazW3@Tpu5j^O@A5x=1*#dn#$90zWO<#)D3G7QPZ}fH*-*(%AitejS zfdIca9{xC=SnoF=TWh3WUv)`BcZc_a80m%i;oqz|4ydVjz;&;N9`SmmF$#Aa)E%a) z2e~cZG16%~`*icTve}^4(7!?BY7nw^D~xf$ei;`M)gE>g>^Km&t1WcT){((mV2E^L zfWWaH+-3^M3nWY<#rbjXr{0v@sw2;O!2ej_-0S4aiPMgsZq$NB5%y-;{*AN1Myl>g zFMG<&<1~kdniugGan1Z#u(CAvrTav`UZ-Pbn?%j(j!*q(G`(llmfRd7>Bw)Jw8yAEGmVr6o1>}B(CyjAqVE9EwHyT>Zz=~#akKzzR7-~VCV;hjpsj1AbvYK8xg5g z3^h<)md*XzDgC=BP;q}}s+8}Gp`YpTz}d`v1XCYBN1qI@SKY~%bJrAX`&#mCOc96T z|NI^1mHHY8*&y{`5m1C9gokdud%Um45JeAdYu?7NDPhDQK|65%#VjiT>Ts7c$m~k7 zFRH<#xaQ!e&=>6t2K(W2(^34X3eXHUz3a#ds z=1?1r5&>28Og931URA*60{Q6mm}<`3z^iU+b6;(TlV!DcPQaIaSG_uLA*FE81335B zHE@03fKR50UsFK}W6MAj@w(>wR}P-^J*_t*2p3^zZPOj{vYx|vgDBXG`meRy6+qVp z>7+(>OKX-{A|7KyP3==%vh28!bufL3xH~;6#cbujdfl1kL?XCCPprzB8g zSbKDIx^<$MviG4}4GSn%1`Qv~i=;lNit#YtdknP+4A$^+dnY%o9+yi--5E_5WFUs$IZsWRDYnoo&a+6+|Y%F-y28pgZRZ0pKU`?69)Z%JCMsx zRswyyGFQv#Go1?yW2&p|-FF?lD(YmMZXqN)xe7g4Oi8cuE$LRCf|`83P7oGsfpqxQ zqc^jXH?dL35RBL zJs4p3|EM-RSADJ$aKws z>5o*I;g6ZrEb27|ywNg)=GJP2{`?!!S3e~*HEky;P^A0p?KzyZn;VL2QpEVM)MAU& zfaSq}P%5ZSZJQk0c`W|^i2hmM)E<0KgdNlQ(p}8#IuB$}9b#~~E{QUbhNHAzmZ=rw zbgLwB>=S-Gc)$&AA?4E2)WpJdwc(Po;S#uk>Dgl*3sL&?+0={td{z>u4t08t)&TMh zCT|^rV+x5UpfNq=!+BI3_^6;0M@&aR0~F^6PS0e6ZJ`A$SvW%784Kn)JLHq3Z9nb+ z=HP{eQ~lvLw&CjLTct_p`{B;U?cM%dZ~f}85xAjU8=qhILes8+sEQPRC|yG)C@A-- z%R)90B{W?P1)=TlFP zPg&U`-~4(Q3SLiPs$Xd>Erd}om{-`zh~Dwa8>)ZClxSbqp6a};+ zlIo8I_IQbR`cauUgs|^bI=DLeWGw*PWDP1e8+TV@WfwNRW;Z}!8m$Lb+K_F*zJhPJ z(#{G`z>n>@uq{c>3Kl(BQ+}@fp*efLQyKdkBubY83yQ9bBd*o?1VPU}l>vm7)h*1H zjBcAE>xU0W1spt0f%W&^b+Bfk;binF|F&omM%;Y`F4}uaL3BV)djk189E(IHHAia~ z@H+Pz+kMo@ueEW`%$NVhO6Q;w&OI_+Ms}3ZP@)^HebU5?1lcy8K42f(%f*qUn&CNA z^|K7G8P1#kro0w^2T%p`lyC32lA>9#I_QM0l0Hc*FQEWg=OjA!JziTO-eWKj=$@6W zcH?MGB9H@JpaK{2+zbnHwjQ*FFVz=#x_VoG2lv46ElNv^j<6=JRm?{EBvqRKi!;kz}8TJ@aEN7h<(3SjPfBVP$dI}R3= zs30a5cIC2|lwxx%C`$b<7RX{=)U$DPx+d5AduQs_Q2cyL2(`x5k(JHaT&0Dyc?n!P z*-7s(-4ZdT99xT9FKIg@cwxpdLKy&F8f?O2LkD$})05%v$kV~a75ts4AL6(>x@NZ% zHhg@zTKAi9WCP>`&v`;4A``F=r9o=0&s8Lna+A8|-TeP#g&B>#>C~puPmbbW@a>dZC!dbPPN1@EgCN;y#V!cUU<%;T#EK zMh@*TE_#?aVonUN8_oa6dHvH}bR)&p2h4HOzVV$H-JdJ@3Lh=dKEIz2fPf=$H%JkU zmEGc9E#HiaJ3t5#j{cLBK7H&j+13HPd5_&@aP#UP(;t3%?4n=J6NT2PoF4*u=Ko6#s*HLT% za=NT_O{@5V!hnE1@bzA(>!nRCd5!ag-fOVd#Ph02nOIe>AKcq*$><|FA|{WxQ(DJ9 z?{F&xGXm=$v-*c`ElYq*v%HGHN%G1Abs(F39D5PynpnWnfT|P&NUaTjn%j;E4I5PW zNV#T3`nqBJU#w`B%&rGE=vwpiW-Q|_bwk%aAc|kZi2&)^k!5S>}ix z_$?D{60&76eTvdq(syc|CEj0H;|a>F3)o5Pc+wd}H>+kwQed)yx?9d7`dr`vs{!LS z*B&8{7h}CRpw3cN+TTPn?IF8+7#*9WMmHOyHo0hUcApqN+#SyfIU28~K}b9`bN@~r zOA+Z!!{Xw%{yUQh9mh!osaC)1Ku_m6uct-l(a-;^j)vNTcQEZFe?`wAf`i<;FcB#qi zUY{fjcy)SE7jcQ+*%qhkh6i7Bq(43mZ4_F5q);yu%dh#^qpnuM%j1lLnq_G$Xy~r+ z%)khazsxVI4o_ZT3BUN`G`Q$xQLb=c4-4(~Uh7QIXlO-;S z%sJA}0`_a%+CWja1%u-HyLB;f_aN{#b}TjV#FV$Zrw*LgwRf5o&BrkHj;38|Ms$P1 z+UWef?oRjp>hf40_FGs}m@F8Uo9CWQ_xs@>;|i;-pTMe8QgF+2@)=bu;)Be+ikGfC z+3=)l{_ry19*(#J5E-}%d)EXu$S<-;Wj=amHzuJwl8`Ez)na9SKB|e8CgGRfE@6kn zz|Cd`$CNrf6;k{nyia)I5BTx--DOkZO1-{{Q@+;0t~+{O)EUhb+3z?L0m zP2)T;h5u5paUe;xV>$q0rfqGLPCcKc!7O3)rm&Fkc<-1phwfxWQw`N$d{n>j_LKS0 zk(-6Cih5m-7RoFXfts}Y9a6gEi@FY~41sI*)yL0$gI#H!l1k1d?KA!LL$glaSAUR)QR1 zVckjXOmeCYsEPvVr=FQKkD@ifp*9pAKa0ndg`~$26m^*2vzilK$^|wj_)!*qFb7tgDTp`lcsGo9Dd&7oGhaK zo^MV=INSEr`YxY69uMhc!sB;Oxh||UqZPevD6A{_+aX#eYiL!sHazf)pM3>M%u5jk zo{+Ai7~`5qT#r*`W6pP%q7=oZc}y>VDIdEY=Ok5~53cy&B4J$?am_sfu{9EqFH0WwR*g^uZlBk)XMYl_DhA^&Te zF$94!7i>-^oRfeW!^7T zBYib+*xSasr9blq5#AMFSm%?X5!f<)cQ3AkI#$CoA+YWMhXL&F;kDMjAXb@HPaG$& zG>WFbF07}|#gGRw8FN8wmcO$WgO4|(+teZp4**G!o{=xGhpYlstu8nCM^%!bBi&Ve z*Sqn|yo}79w|LR&7V-gmwW8#Yj*Rqx|AxAD4w&z&lBu!nj%fsX^CpIvQ&VUOvhNCHbg!ki`SQ*`-6yl@)?n$tt9FifEdg_Vi!--hJxWN ztm-m}EDv9Qxm6cR7{o<#j`%N^X7fcTrrPAz{#}5IQ$*5Ku5~yOYhHo0aDr_q$`Plp!?)%YLGq*420#5g5*hEUb|69l~Cy=FPL>Uu6 zFtiQwH4U%mON*;Y7B$>a;03o4t884CWPH0NN-AOizBd`xr%o>lYi6_h*~Cudx+76u zx37sl&mGt(lg`YMWQ4i|``w6=w7rS=yb>|TPe5LC49(J>O9OKXb9plv5+|^ldOf2{WbUepgV>! zOqC69YK9|?X;R)ueQ{Q*rmW_tSD36NDFyTMp<*=DVRG>9t_l^Tq(gZjui`q(^}s%QgxZ`#YWb?HjbNb$GcXe zG^8!HgGcH+bBsNn-YbpKV1(y}Jh`oAw?IG?%s8D(#yTEwX_rAkiA|qoGZCmhQtBy& zwgziydiD1yfSN&ebcDJ;7A)zd#m4TgP%ro!RF-0E%YN5OhX8j(ZldPkL}xhOv32#Z z#z#0rEk%;MJn+L^a=h+)_bas4At)rV1kx!i<%|L4yq7j(GPL`HKe0X7sq0{I2lV<)exD7Vn3k< zmEYsD0krr0lrUbW)h>Bb>8{fPxiNLc}-4l9ewX zuhgAtzAE15!sRIYMxXBDYX&mc668s~u28j_!c9IYYZQ2A_ThyO>Uti3voeW0+v|@n z`8*t6NihTdOLx4ctrV|0a>lvldht^RJm3V@_#=e{``WXCWjz}Iq^AIerhNt0P1vn8 z+773MwJ)8s*APLp9axa0b?PSzi5J9>`eTIT(HH_Pq66?{VA8t!F7s%MX!>JM;%erM zs3^wfI!)zOXTSoFm(gi;K4j<3t>qU&1W%}Edg&>BbXf@<;gLR5^lh1GDOziie93XW z23XmZ2Ofmd@*Z2Cj{h3oL=tP~JmF3O)n5AZ7=T6NJ!>3bqKiF6YvPp>hCz|R@}u_h z)yKr0yb(|W1^N<}wK1G6khG7YK#9U3k+7(02&6awZVy1 zUBObkO8|GuvR3MjHgQ~AI#jS5aqT)DYUMQ8QS+O*1d*CZ{Gh+r@;;4>!)v~#{*8kJ z;nDrcWcdo*M|ILC2(AZ)5<`wyCC3t+^0&6k0E-GtN0&^*^y`3{C z3yT`dvko}l0&?$k|N9vdN`T4VreKy^t_EBB*4RI(rrPtMiWQV$U=RZ>f6;2qFTIjx zNt=gtMSj0dFWdA+NKecnd|-X~2m3{(L78Qnr{_vNSlPsWdY;6**WBt^P@p6T$Uae7 zN1P$XlHd9&4w|1t5e- zc}{93Y9lr%Nm1tNL9(kbunU+DDtqL?&Neuen$ndX!IcbC*R;9$4YAbq{H4YK1tLqc z^2>+?okamYFDjzs!)Sa4gkmPQ4>C$k(er z;}I=rob3ImRo~1B*1xIa>U%)8-Wng}j)x`7-^7Opc}OO&_5xfNu;C{4?M5VVEmCv5 ziDnRW@qc-`N?Q566sTgCachz+C5X?~^+EZPrk8pApVD%L`y{MVnEKTY_Eu6vl3UY7 zUpn69oF8CJIhWb%99ZDoRq*Y{%62KE?1K~JSKq{iEf_f-#n|DrEiQf6`V99Tn)-dP zAix-VMK1vrn-Xig0P`f58#5n?4<_PAy(sB#*&WM***OBi9}SMda7IN@wDA^MjRkK3 z^`-qt!|}dt+A?E)mVLoDj`zrKRxZIcmqt?;9`$-l@1hN#ifwA@c#Wacwp6N*P+ave zuVVkpJE|*t@5{y9_lKvBu0hYYlkO??|D90XcB&DE{=5f?))=W%Mw?s}xauajMpPT+ zQKe75tZqt)$S)$uQOGKQ)nTqSVJ}}>Oa}K@VAes(de2SM@6H^e$J6Q!^q+1RhbKCe0VyZ%3K6d)XD_S9jhtz)JmdiEQZP+(>0J96*3R(1X-*A3PzN@g~RiQOxU~rwv!0!V>x&%hvZdu|?7& zF8w6aHh)$0ynN@&KI7UoErB~cLex7&b4stVvRU=+-sq$FIG;IFM0jrjYI~z<(YXbH zC|F*8@v)DM&^+k_=~hNs%g-ysSN+EHoqtFG%lQGH8Y%bzr(5Gui_V;JREc0eI5DzS z08gxVdwKo!xGr&&V(cdNP_TGW8PwKvYuWEg=91mFmKbqx!js})tV&1!XsEn~c9zZ^E) z&Q9N{)@dmv_3^lZDFoXjst$EDDtTZ|k_O1Ml4iyhXiJG}U*sQA-z(7n{D_#XfHzr} z@FgGR&bi&8PqoDo7}ii)`RVeu^3|Xq$KDZ+L*&$xbt;Sn&r`kFbd#&-3kC?VEIul# z!0KlUpNoy%eb@0gULvkm%x}o=83gO)qLwMIZd@T+aCc|t11aq`VKd8}m97p@_U+H# zGbv4)Y*8bf6_b0q`>W&S_%9>oANR{%`>1}^<-K*a-e))mf#Bg~pXu55_K9XBB7gko zm&5;#Ajhz9X_w220QMJfEnhz`?t!9(rxyYx)kNQ(A>$F}9ak^xle8C#V9$TCuL+-) z)}=^VF6uvYS7w1shXxGyz75?;pxf1892qhnM#XuVgWuAHRt-9^5!UyS6MUs zbWRT%t~Z&U8g$Jx?$RuB{%>Rt-3zkVfyCZA1iAa_MSz!XEZ!hi2g11z#(F!xq%!}Q zy1S%Z%R)(DH7My)Wo%xtx!3E}@xau1-G}EaULm1G-f3{n&9a)-%ckdRKII2f09Kcq z>#rQTIE(clysJjZmA|j;frmkSnM2Xy^EaMYj%tiqN&V6quj{a$LNv6e`H0=lb&vV? zatIqnhdu(-a+Wez9^*e;S15hMALdkCgW1tvswR!c^d&}I7lN0chgcygj&zO}6K_5M z;T6Q1J-W$C4=%n*l1`V~EW8Rk*^_qHwB_HzgO#i39WS!)!{3W&ORxY2L8M#mH@cTn zx4b)JIHPYJ>XCO{E|!^#W{_T z+7W1Ardsvub^zuiMt}Su5*P2Ya)LCWMh~wPHTSN6ljG~vRJOo9k}*GB7l`hNXDXdo zW?0!|`uuoEF6X<95+awky{rS%UDu#toQU`T1d!cd{Ik-Wqtpmq0f@)nk|0AZXynQc1J<^+EeR z$xnai&Al@1u3xTzvDO%#ysYvhTV@J{E1G@ndWz6?CPI# zVIU%pAHMjE(F`D{84jRblJ5{1RJhnK>E&dYvFizbE<3(BbO)gV8=v;AQ4U*t*h9j8 z$FG0VvNe+<8`t(Y4cjv*6lXOBYd~%88Ww-OmKx25H10q&ad< z_&1HC+dck!Qu1Hb?sHGy!XfF&sH|I%oZf2-_Gj)i$$r2j09Qz&${(PRg7RR)3B*t{<`Dc9;?sPk$iHd2iC48*BxH*! zTWLn+<>5S>@%34!JnyTGGO&YgcfGRHAFw!eH&i&_Du~Op1}LVaouk;|hp~HbYNs)7 zaKgG-&bhAPP3QO%-_kCtA=9*)^81kHNMyW}vtgI#hQETqtY`?9U3Bd{@QE)ll}bKi zdZwLA*9VdthCg6ba`H0RN`+L(4L(vCz&SEeb)sqh?FjDHPN4a{xwev@Ek|Q+Vsnn9 zy{9s%HPz|MyJh?m6W(aXGdpKpv7z*jl50&Wzomj~g_C&X`|rJ;$C}UJGDjMjPiW?t z(P_%I3I9>v;)CPVw}<#^1bL(t0;)Y!yUMK>wL&jH7WiSMn{ zi+U}~Vf4gAn;JaEs&p9Y!WMT%ETr~kof;br zq&_W)eWn`yE31>W40seAM*7Ggx#a;{R#suwRt-@g!Tx+hQ~{nu_)tenlJQ*1>UliR zHA^oyRuMjBP4gwW12__=X<+$aN8j<6>RuWJg_tx{ic9SzG5dFO@Dxzk%$@H45mJTb zrKWBE04%V(g0`zobieq9{k&iv-fg3+H^uZn34zg!sm-S#^(bHpL9n`_mE_$m3I08- z*Y{FWEgeRgP1uu^F=l!&4N{JSKAZK|c5s)A$t@oT*Q7_~MM3Vr_)YMN?GLM(c z547TRTSJHXn1{TPXgWW04yh}#0GgH9RDF+Gv5+kFK_vhj(D*9(YNT<(7>>zOY;(&> zo`flh2E2C4Z#>AUZIsTk1GkXV0%r5Zred5BnlBaGc-}LyIMd&Fn@NIk%@Bf36{R;< zKO?t}!xmIe1x|e>q|M@74{%Gp3B_9er$52mMUmJTfdoP6i59twRdLNm>=Wo8bUna4 z62Lzco?jjm$@ZzP6DCzvCY7D7PVr1r*;y>PaZe0t3kW;5Nelf?Q>i~UpB@{Eme5v; z^?DM4MRX|}%_e~DnRWph<5*647Z%Ac zRLYaXD?VeoF5T4b@gN=Qe8NYL_CExyIh4@9<6yq!s&HzI3hJ{qIDdSQYQ`-$GNk!2 z8xvKP+OW|c0~ywcF7J-1Q=Ms2!`W`SEc7<~t~dOkm;_)tTl(%IJr{}IS8%mEB+%=| ztUeT}MYtA1H?2(CzBTK}jkmDRL=LT4xD!J|4)mBrZVIfhTQ0$_RXcYytb6{nCvTqL z)uqYCOEvzt=(hvCer54206irKB)AfPFuA@w4~DYXb7A?pmsLPu<2s4G69N~cOQ9D} zQ{A>mEjd4UxHg13igSTvJ1bAplly*%&h+`aQ8E`($^jMHRDn~kDe;O@6@SwPSAfx! zh4BGJoR8dZO)brkgMaH#3HTu~`YcFH#`BQB|A)5<*lDVTEm*i2w?kNXw+7FdpW$;_ zussOo<-~zVY{VR_%{(uQH69^sv`r{IK;o?c0!X$mUYpUJaleUW%QUqcv;{6-kU_b9 zb~ztK`Y*n@rQgTPnQ(>6D%uImuxy{!GIZB3L$6-EzDfI{&h(6+^`O@mkCA|>5ZTF$ zV*3WQ)D_ZMrS=^&M1@IJsRnl$4+$$GzwOz)W>Ff<5d+vt^QvA${{W)C zO)hAdQw(g~Ht)oYI#8-6u6eMOb71yV)0c~@*F4&*==eAJo;~Zbz_$x_OH`DARWMJ4rIcJPW@w zy-EcX7jSd7p`h-Wn1=wr%RdsTx_lzQrc}`)iC6Bp9^x0!BfkMXzn=W10|&$1$ftLk z23}?Tr0MxaV}%7Vtli%y9mM~upa8*sfD}S)i}{;>k0$p(-NBhGo=XXoTV}cM>CE5q z-wRWx8)vWT6<+NC2hI@1<&Aw?S~UV(PoMw(Euee4H&24X2}bj9A){d+xTR8m$f|{m z?~KPR|Lp<;jdakC#r@MgwX|U$!4Yad;7ayxE33xDb_=(TXT+-NEUJni$6{H>PZ=@m*}>h+MxM^1eWL{~+8@%hU<(qY^UjFVz={l{jNB zqZXFj3M#8hpSZ%e$ZCOZUDK&B)fS|V{dj`f( zTQ8!Ylam_*A`jp25Qiz6n;kTZ+|Mv+o=GDd`Cj&f8MguOAR)ecM&q_{5m7wF-763e zR5YRZWlG12X%d`E+axK{ATMA06krB5>q!EPpH>#!C&1_-1uKJ}>z%aXJ9~aqqGmA7 zR|PQX?=RO!K$ZZmkAPPchM?aYf%n|*H)X)6T# zu*8sBgz?Z}2xY)YU$uL5ig)S$DmP;3h|^Ekwt`@kh7BxtiuJMgX};BL>};vTpx)Lr zXNfFzD%S!ai9fAlMb&HE9=+-SdW#VNW8CP>7L42fot?8*9;QeWpr^in{?f$#GM-A$ z>i3wO&6hP`e#~oAY*_GWA@ffxiJ7q={m=gaiskRqbFPLZGb2zn*!EwWYug89K%w5b ze?kO_zv{+=4iw0M*)Nc}=^>RMZwgrfYZD2v?BCrCKsDePTBdV=%J)hhw&V=s^WsEY zm`122tIMC9N?|hfRNo2y*X&l^Xf3ePg7MnGPRdr{+5|s4^j?Idi*CcP(p7rd0&srO zxmO)E;}02jvXRJ26GDdS^@O`x;mfDz(!$jsauP)Bo_P9AUQmujKBJy3ylOY*x9Tb; z?h|}z(~wwvN(u*Ooj2vUY_^>r9CxtHp@iI$a&u6WE$}C2CmaW-E=Ehq2n%+S$rW69 zh-m=_AX55buE*zra%sheMUn1yl@Cbo`-)$MB0$5z5*a!e0#YT=%V4gm+MBF&C9R-~ zNC#ho5s9ca@BDZN<3Q63XHOZ59;<;^nW2R1_4Iy0u6S5{qiTRS?NVc0Q#v;3l5_DYO`jLaC%PWd78nh$8-lw|+3e~Sd|z`=Ia|5}Jc+HFZJ%a2bX zrn%7XXXr$z=?pC&I?}i7K^R{OnX(z{-~kGieO!`GcJ}5^mdq=m2>H7IBSL$_K`v3! z{Q-$zq5*^}N2kJrH1n6g8sT~J+QLw_qHgOYw;!M6Or|f-_Mv6%0O&t3alK zOQ4b?pJjM~4t!*(bZ^%>0Vm6!G}k-BVFZY0=x=T}0Zvp($`ng*7up#Oh2^O4)(;L8 zb3?Gq+^5og;_KQV2gto!#x;zdnNk-MLqG)vSGJLtzU`ojT($}Z!IVxR>hAL!jFNyZoB~3e?Abs~P(wd~dR8pb4x0{F7PXbt0(B zEF&SScLKb6Xwkcb$hxh#;OF4~x*-Q+-}%H3{vvGuA$Skmi5{6&$JkQt5Tp4K%TNcRvshwQ0Jr*I{%G1lNiE%xVG;k^sRP; z=1`(9+260aWlirj=6iU`yL*bOhsfW9cEmKrrAZiF@epC`M-pk+&_j#0Z0iAzN83H6`0 z2iF(QkOQAxYy71RY4n*F_Y=RL`N>_(1=a184F|sJASIJ2%c_Oik}FAQ6Yry2#IlnY z)UjZvW89$9w4B3;@JQ6{LAcE7XurnzN-qW@19~3y zTBk=ZGCsk*38Rgz& zRgW6D zH2$0@*2SAV$-e84%-G&(IsY)BxRfGg>7qjj^fo!eQg(oe$-@kFH;Iag;S)W+$hpMQ~CntP59r4IW# zQ9`C$t7+?Ltr1u9_|LE97VZuHbqLO=?I!rm@{ignE(tFI6TgZKL}JHh)~~l9q|z5Q z5Hxuwkk8P`+~Ihmar@(u8K}@t?ND4|l>go~kam5`~#heGhG>1}WZkab!a$ zd`4eMQ}#BA^a-xG#HyT2PEQND#Hf?klC-_AshxdVX@BQ;6uhDQ>7*95vx&C&UQfr6g*v)EnvvL#Rp~KJQ zhmE(`@8{T1_uh&if!v?mqjO1qXvG@l)$tYtTYbl(iHJlMc(;Ad1myo7UmaCPE(RNU z1a`?8wILsTAmyj*4*ZF9nB?aVkv9eiW!cZM}_N9NrB zsE-hAa@n_UbLboxQ`$e5v0+%kQe?{aP>v_LU=)9Ec`x!UPC(O@jC+BCXXh)er^{g* z^yL$^n^yYPA=<|bZQodLKo8@WRXz?=F{Y8&G=FyKU4aAy2Up^>zR0o+vBPxVk-+`9 zrPBT~h<@D-eVtkHi-)68I{B_fG(jE4QUd$@d&X@K%^Q%cu22<@Kz_bkTldTy`5mA% zLO#n3zaER-$i{th9ZMbKzkX{$SR-*;sli7i)u02Q-o0+Wx@!OR;GbIL+~K z8m?d331VlH^LGW7{g-jNC`l*Q#3;g3u=6stc5e||;GKGx*6Q{2q1BwQH8&BMkJNl{ z4PkPyYi6`_X4axV{D-ER7C)ZVfo#D$1sap%=sNnP6CReytts7^at5_Tm7g~s{S(js zncEm2r&W&Zla>P>?(`&9Hg8U4jTr`G@_1zt1(Ei;%j+taZ0WRo>KUomH)e6sp|VYAI8mL`08^-DIM`!>Px+CW0q=17$sI%EM{1(07Q6HyI^Sb`g$1?p zG&_C3y9F995i2mbFtYL=4Vnl_)mbr{Us2l#-H37$+0$!o`ihwED7eGblNo^<$mqG| z{Has&rVCK%3zf`n#b)}jm(%Jy+*D^M&)%j!xvP(_q#XWaF!1Pp#T}5};J*WqQ2=wn zR!WgO&7-q%LX^R8*})I@{!rm%|pvR@Y!>n`$zRj$6B z`TIFz9;6=by|5OS9}-e;p}`|ij#G8fs#2YagHob*@Xg9C|Ji)a<;-6 z4ki%i{m-@ku5B&)5M)%l?)~y+?Z0g$$v@dmsi=9QumYoWQ;aCj#%`xYY=PlW?%ie- zsQi%`+-EleCvIe1bqOe=a#8$s7}hV3u5byw0m~ACuw*~|T#+Nra5|5p82CYzvXV2~ zPCfS!N*^~n(9pI_{pj2GQzU6@CxR+VS=M0v8rwYBx&6dmW~2X8D%+loXaS&-`=A#a zRzu%H5co?|a3nwzGePP(pDGr7evlW=3Pu;5cmJhEOAOvTROK~Gq}7I_h_n5YRws9P z@ctiDUmX`^_q=^CDXoA=he$Wlxq_fH3WBsK-QBUMfPm5=U6K+?D5a!IFO4AG4U!TI z?^$@h@8@^^VT=3p%r)1{oRg)S-7H{&Jf)XG{DU`@7brgL{GGq14WqpOr1d0opwG1H zWH#OdRL^DBbAvRLy5>LoS@9Vs8q;_U3aO>?riSj3eb^zr20)v1MN&Wc2}D7~5H>Gm z#Ng#9)y4bsSV64oH}1}$OR8U^Nt6~;M;?Y3+Ic$n;$$?LoMZ1g)FdW%?7k?zG%;4) z`;0lK783`Wsi2r2wmef!)LKpa_IpnE#q4u*w;+UkZE>Gg!R^9Y1{&~I%7T}1nUnRw zNv-kk;1-}Q|8EO2%Bak#*t+;)6_U0sJiQ-BkDiEcIOD?yZ@=0LNhC=)`Vp$Fq7nX! zbhCxz&N*(DZ)kFEkk&1E1y6_{nIcBpo)S*tyG@{gd*iS%Vx@cMIR` zK^K;559X0-j*;Yee}ERGNY=TU^8T5%jF-4DJ*n5WEX@ zuc;8%f=#h#VP?@R$<{Lqgwdyl&g^>beQ%xXgk|9oeQO!heBvY@iVwNLH~yA=Wj!ix ztZYNR{5dvXeg@K9&_%+dAdl7ha=IDo|JlAs9r!M~3BDT7`Glj{m~H&-d!j&a>_ZXV zTI0YhVEc zTmF{`2AtXNn4Mu}TM0ui8q_5gcAtMsOCzsvx`GVwM_@a5ZzkEGd&roZSHEK#Ci$7N z3<+opII5}&!!UP?E4Olw*YJG-lS;ty1Gf8cY=}R;axux}flH8eRR!`)_lZw0uGTOU ztnXX4#c+@M01QsF&@Q!98qtG3{1Fs53ap){R+s=#BMcLhW=SIcWD9!Pm-m4WcC->L zbQbR+$TJd|28Gg<(<;~Htxrk?7;`5uniQ?BPvKW~-Rjb^^h`%-uG4bWwplMtGD7!< zbPP`69t_jxMMH(0tH4mLctO9Xvmn*0U~Kx0A>H}i}QF3I1i<(G&Z%O+0v#T(DTb zBg+y)VQ(h$Y0$8D3RIPIP`oi3#l`|lVlDxlg|c{3fBQz3EeGBed0;bUwxoPnF@oGv z;{JayUTSGMb+2v&48oAc7*Q6jmivg(6s{(T_id{w!udNST#p(}keVb^E8;*4KweCm?e3 zE1@{Hlvjiz&^|rL6ypXhanSU@w33r|d^Nq_l-zl`CeRy9cD;U>y9$G) zy>rW1+^~l>O)YVGLd121;**R_nHTD>)gHeUVZemk6lHqv8WU1;MJ*s%RTkVhWiMqs zgxH$2zH#>^dTJZ&cz*|8RB{`h(|Grw9XgPY`Tp5keeuB)+;Y2@z|E0meG6l}|M|>A zZ*ggkCE@K`-@d#)`^5=uEPZG2hOu7F+4sC$5Fi%#di)0Du*+z#lBm0dT7e=ILj{2WETGbY)Cb?u35dTKa4)Ec~Nx4n2gaw5HX{A2rgy0t9xNa-Wb;z8t<5xO9lw3(Dt zk;s8dd~0L}UljZzK~oM3=Wo-;@hP0BdfC@3W(y(M5M`S4o7;);wX$N4Cls7`{aUt1rZ4l9D<<_;3pbWKI^V#uNQ!;fXG_~_4!_|B|z;EJRdk7g#I!xd6?wjf%_zeZ#$HWZ*m_&TwQN4E1DPHr3u=?@L_ z0!F`w1}a%b1tyMMH(K64kj(UbQa}QCl{adU658Jope?RAkYx_VTI$;Xe6-i=LRqxn*rfP4(M+Q{3kMm7EtV?VNeM7QAvrjd2-{Az z$~t4OKt7i`!;_B^y<#rx`!?UzNVnrrT5~(KH&PUQ@BUV{Vm>W@prd}=X(^1=jht`z zvc7b5D5J7U)wI4)c&o; z0D41Rz29!AJh2`q`_cGQ%x;aREckFO>2tFC-gkzk_fj}~URk&Mw;w0)1`>=?w(*Fz zFR9~6U-T$`%HW_y6t_t}9J*NH^^gAhF6oaiS=a?c=MJ$KBycYU70v|Auyx@;lzpbx z-;+Km8x=PUY}{GarLMLP`BPP5PFSh1fgVplz)#pEO9)&_Fikl#k(Ve5M>?>spd@qe zKbkSupT*ejE9J5e2qcLTuJ0U9cfa=keeLF0%dCi2#@$t9&cBrG#tfr?8jDUFXo%UF z@sp>tlTT-|-=wTb%E{3_PgHw!(!9(^NAX3?EtYU`M-~nxSm|EHxV2 z=L&hET@oPB_khj+iMaX!;u#}wUKcHCu*W9MaSML`%R0D0 zJ5432!^J*+j_|r<|AVfh0+Fh^VYLf^{X^K272#nm{^Y6Y^CdhyV{vr*%Jf7_E%*jG?qIy?Q!|Gzne`|L%HftRzH+#5TWW+^#iVWR zd6{}|RSfv#C!@&0{*Ujwmq7qIh0iQA->8Uv&y*@UBoa8O0d8#@{c`bje^x;3e}mxe zaH+#64S&kmr>gz%^#E(9uZ$byRVzS@>7$j|nBh=f@&!(oIL@;FRN4{`>nUq)(l%z_ z>kz?`fnQYkvPdgZ)Chlku(P6Nzq~!)tsV{fw6gIw$uVKK2PD6iaIHXDn9BIjKGTo@ zv*5;tX7aO!JE;O3`V95i;5Ti!z8O5DG^w&t~2|z{01%nvnf3$N;%R5?; z`G5pM7q8zF=C%$awS&HEK$}7Ep8Y}`1g_bJK<&b0w(iQHXdW3GkZi$QUzaeP?w!0k zS|-erw)V$Ta)RB>B1rm%!wdo8I@%5!t@!Y>A%^(n&T)zW852~EXI>FQ__4TQqcrG& z#-^vVs?BF`Y}ex_H@o`;IQ2DgG&R{W#t%siB)OnDnG0A%Eh7U_HgeNM{_A^=N{4Z$ zE;c7~SXlv~ddF76FI)`30=}UXawm~vM2mQ%Q7lkrR#Cj{vQ5xK=K@94zBX3wfe~mG zLT)$GEx!>cCis)8j~ElTigxwaMz#pKDO0$rRBowz7zgSf(|+^LNb>151VGh@#wk?t z8sht~P7RlI#Gl!pqVg9P6LL~NmU5;m#vh{_DJ%Nj&!3~wQHF1jko(VsU7&yTI?L%S zQYPrpzz86EnVuNgf!<{d_^+<0I1oVdg={U^G%q^{67Nf9Rg8N%Lo@WNIM?8S{%U3yS+ zPIEWtBj+3SYLe3!E0&Pup(5^L7tOOG@+vmoC5}J(IU#I(+vuqp#9Y3h3jqJv2B)8`%sBeQ~njCBNqxJd(Kzh@UN@qa4fndYE-w=j8b_4&4;&YxTy%GaSJV|W+DMm3`o8B$2p zl|`1991f1e&+)~Dgch`a(&_7o0y7&N{>v&v)#)ff8Pw zZ!K~2^xfe@hD|@)+-Dd~{@D{|Dfv1+;S|ytnf=e~i@;6xEJLa0qq77C;ZzY*i`$+cm!~;!4+*kq zldgg?|5qpQjH|Eq7EK|*@U9?YnGs**XBBd=SDJ#;_IJ2k%%D2m+3PP9qS)qt+NyjF zc_;x+gv;m9F4a|XpMDYgdAfhBTi1ff^2u%*3?YdXq<5d1HVMJ>Vqr%2KbiBk2(Tm2 zj8HjP{m{;Bz8RQWVIy(rIdk_)Z-Lv~nv+prR zcUX-EISetGD4-W9Y${${(P9Y~mtDGZjj%RNa51*(K=~QI^R3I8fPq&$2oMU|S#yw@ zuarmx5%o)>txiPbqRrQF?cCsV8a?~U-V=>^A#fcGh>sgB`uy)KRk3J~x>6*H|YE6FxouE--`1 z--W6)gMV_du*OjA+u73qkW4WHDg|9GkQ`nu(gFuU0bh1UIUqWx+|YxZLCOH9IK8(w z%6G>xar=VixKndvFNKd;vDB7hS?E~LQQXmTs>O#{&*d8|FiGx2MX6O0IJ0wCIjcv1 zEvpfx7F@*3WSpCEV_@=^DB9K;N4b_+3lzUj!1KCL6>&hNOH>fF&mwd_uS)KaPS63dR zpvwIf=Fo<|ikj>o zSIX^NxnJ5DcT;TThc|9@(!#7Bu``s2v-)lPp2G}H?>w8iY_x_tE;;GFpfJ?wNgA%j1|I*daLJoSXAh^%@M# zf+hN15=-{bdINkdm#+il`Y?9O-oB&>zas0*i@M`&%bU=KEUkn0@h3akzlB>Fl$z3| zcfsK)$=*r(B;u)~d|ZwLu14A&UjG3Isd?ldpxhwnY<|eV*wz>WEqb$XmY8M)b%}4R zHBqVkT+aT3i^wS1t2W<39Zw&?zonMncWG_^D(5?)8BW!?XeA+?KzN0Vf-&B-ps9dW+GRY4j|TGHG$0Bvsbl zql!0#wyd(`lQ^Q!dEo0}xX&pZS{a!wf&K;`jZOzzNjH)ez~Iui?*((G0?^8oZQWgF zzs6j|@iPzmvLUjQMd}x+e}M%KA>6X>RVUt>8KsjJ-Tn$Dn4fy_-V7B-IYap`V>=)A z+r`yXgl>9I-3oY@I=yH3vj|G%_H;!=BYbfYU+hBK)Q$&zlorZE^%l;j5Aaot8;niU z|9p={(l7lRZ3!v)C5+#E6B4>t1!T$_p*;@sxFkmYJGz~AYbs2VNmr=#Kknn9yBIW* zUYb|l(5(?|J__0v|0UxwZ&!P*aROG^n3Tk0dR7jNRCBs0R^_KSBZe1}7uK?5KW9^7 z$^#>RlJq2)jOJDj2F0XvUfam@h58DWD=NWJ1pX@^k{0yS=E>t>EhZjGZ>5e(Iii^C zkq&cIgVJW`izRQge1#y6%WVbLBtWfS8(L+4cJ2A}f{7Edr<(tl`v$kcvZyO1-`bm^ zRJJ>_;KGiA{@i*`eD}u#jfAb&yalaX-i;OuHWQAsJB_958*a~3M=jc?${nW|Axh=v zdhpi}#3xuar=eC51t)+GQ+g*NI!_}>2ky@8h`d!5cdBX7-1WK7?|N~mrs3g|!fSxI z=nDr^(ljGT@otp4c{6EU7OdO8D)-O4zBe?IZ#;Ap6FX(&|8yD)F%|@fC25ReL6}!A4h#$ynVUHAglh`OAUrFoRj7wJ8kU!xQY(e(`3sN z$x=7Q3n6+HIE?&sgRotg1fs?7DW^E*0(;9uzJ^=x!Wx))%r==t*VaBOm9&8 zWOey{X^dOje#@wCje$_M+l^_z{*8lcLzW@(_s0pJWIqOo_g_GxidlunzXDWCCPN|} z&p}*H`T&*!q$zu&U+(eFhl6^%z2$ulTEUPpUf)B*EBa1zeEKWNRa2lWOFcymgT`G; zF%ia?U)Xn)1FOF?rB9w4ohx4V+^mp2)3GGMf-+b#-4xv#Kc+iyey2O1{r?1Q zWC-1CuDd|5-yI0G4F1%`eDf=4x^`#HZX)_1D={@LoNw&xz)A8nIEF;+X%tr7>Tx9% zjoaPAkzMb`mhlsV)JG4t84i2iwSB$l45&pqwjs(6eoLJt0%R;nOrV*WOI_@(WOclx z!I67{0ZF|e3#V1&JH0qJ?2Tx^BY+OHnD6897R&#0pRbmP0z{*(HCN}V2u1SGQB=U7v!oS!n;W=>JOnWBSuC5?iPJc2>Z zKBkH!Ly>2I)}X5xFeF}yQ#PVH2T4=I(1AY|OdRD3LADl}M2Dhct` z>%9AeJnz)cPKUS*suy;%U=4$Ujz?(&95(uO1pzo!Ko;%)b2fgD72+axXYoX1J>YJP zj8ND|l=fc4`nvbE#8*;hj(*jBjhTTalhcls0omEOK6J5J1#xRj_ZcUBTHb4|Z#T{n zOPFcOLDcR~1N1cRdwSUFf#j%vrK98Rzdqbazb%_KSBnK_FtZ#>P(iw@`lM=B8FFKNSb@Qy{0K{!kkDN3P+Ya3ntRcbzUI+q=RQZ8-Mci%x|Ybds-Dkr`cWSM62Ig=mKl{y*>3Y0)g7T^E zA7$Dr$10HHjiYH2H-pX%pgw$%yC-C+^@-$Lhb&*xD3GN>zam^Ax{nJ?7f#i)2Dveb zgZs@SEskyPdzS;shuXr-4lP3AEf0>Ta94TL-Uhe1-C{I<3dbSX0boc|?L_PF$L zX_5-O`(_>Fma;y9b-)1>B(2`qt_eIj-WM(4o55`XoOp{%NvRTOtYqI z@#l!jvUgLz!y`3#(siBgx+pv;+s387Z&<%;ejQraRVMVX|MK3Nt!k%|I@uF-pc*<2 z^$SA{T@zlTY531ZT(uI!X;nJZ@TUPL&X*Kk13-gTPt|z(m+s zKgUHVcA#b5!&!T!XK*6vBYI!uMj2zX73m#TV?1IyGcsI~x2&VCMcLit5O3Tx&mC+? zXttEQepPdJs9DrMe@9B~4&1uJ!b>;!C@UlSvJPl;Vs**chZDnJ8OqXk{Y5az2W7dt zxPmW7Nq8!lU`glr_eWz`@q7h+em#`HwYw4(R~ce z!*D$4V9cmwFlC z%EC@l%0pDZM|>o4=u+dC^ivvdc%T+A=aDPeF%nz^zV|iDAvYBL&ZGFN&Cmj9 zTK>ji!!1qF5d<=Da>*?Nd}B3U_cZC_n}Wh?ebE~vo1LyfAt&U*ZiS-m9{CB=ppkCy zZanCPj|`62$GNiXAUy+d^_7rRw3Uu7S$Ljxnd$G*eMl?Ig!4Q75}ZO&qrP{73P+w9h;+>Nh^+E zgKHLWFILw+scGpi4C)M~r_TErD^+sh@$XdRZ*HUegNB^SI8y9pj&x}l@^}s6$GE5 z`VR1ciS^#!BtsV-2=+fhVv(o32p>n?dp&#BRJcBq*gnq;^?=4F_Rxb zFKWR1m_|?AER(0WsIrNqMpue_+tQ_|{ ze;g_`zm>a_Z9z>lJdO%<@(MRfUwdeVS*J`0!yoOnVRkK}c6&_ZxfsgGOadGWN+_-7Yu#D15p)Pe~|9{E{~xZfdY)EkmCKWu_zY; zvjrwh!oqXsO)cX2mWFGV%j#mOnlYPfWq~yfu?%@6sbBa_p(oDh{0~t3qrgGk;kRg9 z#lrn6iu+=c&v39Dv@0v%^e>l*6y>w0rLuwgvggJ<^Tu?MjG7l36cTc;ykY)NNrD*| zeg`XIq_j()}vVQnW=tgc%-?3Fp~_V^z!3uLz=>0 zR(YHdgH0CZ>Y;)gV?^ z_h6dMco`FM z%XKdwGc2Eko^$m6qiaxmuhdnY5K(ff`jkm_W^`pdq)Pb=U_0+ zOX0x~)#5n7{=>gAg#im%e>819CN2#&xaM6n>!*r?85|(| zY*oAY!TYPwft|9xROPTsA+}OpDG9w@wanlh1k%$=<yx%BLF30BVyj|q48~Z0mTk_sf~>( zD$PHonYii6AKy6MptC8={xEoCd9yzUaBZ5u9Qvoj@d!;PG-=gR=-2H}B(C8hUArvO3 zMJ&Z%5vyMUs}_7dI(x6vAP9f>LbJzq+9@#>V>IOtJ#!$eW@+QhyVfO0!Zq$&pYs=& zv(o4cX#S1%2iZV=CPCJ$LR7j8=q|?p^#`$C`GaoR;UA869-sUH=mT)2s*>a3 z=K&m+Sg&lW#;jyEtS$9wjz5_k4{gy?j@_y9M+zZo2r%`{8K93Ap?bf41QDr!rZr@* zXR=s*YuTObk;3XS5!E|BZ=DSsr9%0nuG9SxJsk@s`|HJA6~KN2nu)LMkIWXg1ZPM? zTZP5ODqcwACrRkZ2XLd~|MQi#w$jV{Xoiq7RFDzQRp;j^;r3W9&CaT?jFtGD+!Bk9 zl5@j^guUTnJ%D|do8IdaSc;kQBA8W$Uz(k4B{K$;mzh(8&Sf9$!8S;&FT{mJo6a>- zSyI2z_Oe{pXF|!Zklz;Q@To1KeTH>_MR`EmQNPd#w)b>;jlQb7b=j4#oqY|c4%c$w z%Xn?0ZrF^{5kdRk1_KzH_&|7Ae_ea}VXfj^Urk>2YZu8c#FkmUL-PGRGEV1q3q*>r zK!R?WSYrYQk-oS(WTn9FxLNKrsY#yg%OizM$A(_jXt7)6!SB@@q8A6KoL#pu5^X9G zpR8@cvh+{~f5kx4r%au1oBTo;-S6UX|-H zAL9%_B#n;=430`!!6JdU6B~TBRx*;f!oUQ$$=@KM)J%j;Gtb|CcW7mwNB3!R`Ug2S zaH#mpWIp+mtQcAFMIKx1qubfph-*cd%e^zkR55Jew-qOEpc=jwKEv%v1Q9+rI*?Es zETV+(UGcC@5nD%F57WcpvZMe4!vvu$whEBdf^cA;gE>7gQw}K>N}sNdZHK~$3!2Nu zxTKBge_NZK9$c_Pm3@1~SCu8W-0L56&{x8O+82)-G#qFO+QHsKKJ8?E>2%pS#0?<0 zvm$5!DGWSJbl1#RWPLp@lTmQ8p=)pFKdIX_9oK%8n9hH&8Aa>&B&<7w;SH?%^ppJ$ zOz{+k8!Js*Q56J|J??3jarSnL?e$E}FrVEsE&r5!-HOKYpPDUi3h*c=c~G+1kiz;*S_W8K-vl-M3Dcr z#nruC|AM+cax_P;Ef+&nsK&Kz@AIQde=#7*I>op{)W{l+D|fu48C4U4Z$d=J*~FzT z&E{(EK_s1a6e^(|c~PbbLb1jZ%p-@jsKX_uZjT2odkeuJ*_-%XKbWqT7V=?Ac+5bWV<#qnK7*WAc2Eng8LodHCAy){E-FmEO~cO^^*vG;H80}7W9cp;lW*gMBQzwO zxlS)zA2Sd}J04&eW%W!|fg#)RM?k4mCW&M;x60$*=Y{;3P(Zj_FE=@TgV?GCmnpo^ zakGa9y0JwKraoQOqzV3rk0KE*Ljmsu{D|lmnSv-*(LW7+u4M_Mt>Ar)2G#YN?Vv|= z->6d_*=wAKhAwt)oipl`7H)RJ=x2V)o=OGI90%4A%v(WiAWcU&K2F4~5U^$sgKMRZ zc#gCJ#$GajCy(53*IqBxyCOcbcs!>bqOF2`c``|m_ZUQYBqx4xilQzD2qsJ4JHigV z&=ec(BN*0UgF@DJ*b+K{IIDP7p}2Z&X0T=UUH^- zD?1G3Vh^N5hzk>^4hp?afH9m2#FJYc#-)pN2F4<2NC&1II?12F)hVFLHl>KrApW|N&+j;?X)2k=`0NtK=R3q1RTE9*GbqaLOzy zuN4p6b>mkP(h+fvuGMxQn<$7)gQfeMRiD41S))Hv#hl3xtuKM#)5aYX$fc!P;)++4 zi~_5PcQGiyN*S@g_nsVPYdpnVjwqtg8Trp6FT)C;3)fa02 zcpkdPW#W86D)rBt>DzzL3nebh)vgy2zs`an&@|$Of8SXGE{i-)D|Y68yRTggqUAcgHz5bkld7bIwjYDb+G}C#yFuaaXMnJ>AfC z&qiL<{{o~b4eb?P_-}xZaXvfHl$AQ+e-c%%9+vvP$EC64UEun7GfbGl5jbkj2PW}cQsT0E|zR^9de5ij{tsjno1mdQ-zeTQSw_aP~}s*>d$ zzXvK{gSRi*antEHCQxgSFaF2SzB#2U1iVz1hB&C)jGOwGXhKb{b&A`iy*bloAiog! z(@WSb`Sr|?IHPUUXJhH?y>zmL$r+23?)2^#mKCD#CFW&v^ zy6tVY9)sVqX~S9bnUv6>91Knt)T{?=K&Q-5OlW`8&fVmL!NbVbpclOS=+S`KdE7ZM zKynWp)c~ZNMxBW&@#3WA-v05!`{=2g?{g!#vzFCa*sJyQ=S2DP&XPFZQm#a*n%&67 z@j*{KpisDr{=(^Xk>x)*0>oDS7)WcYY!6iu%n0tS8M&H<*PuAQW`K*rbjmW)3MP;h z<<=~@QM8s^1(3Zn@YQp)5t5s0GG8@i({aw{GNKvnmYN)Q%K}3OENs_zI`#F&B(9A^ zU8T4aCLW(R94-R&!P7$6Dtt@x!l04`tIE5n7a z?|3_fZJ9}|o}dvJk#PH^*z_QNgg^p~rkBaRuWzNRj@MlXQ#tSxc^v77y4p`O12bp4 z8r7tJ7bGAXaT|@_?;g9lZH2Cv-;!hE<;QWWUA1&=6zYE+@64IP+WR%^71lo~!6#3j zoT7wCJroDnK3iG*n?Jq72-g@9?nZiXjeDP~@(~CVy*>wesO_5|hge$9+!aIocw!YZ z5$q>2M|7Y_^uyz=idNIEU7JNCJ}_i+OS|ch>6_I4I`7Cnc(v*%LwoKy=Cx8Db70`? zRka?RjpQ(}<>H{2GQgn*2NWO7{q7N6^pVLNk901B6(5Z3H6+;WTj&fpG(k}Ckcnzn ztmkN8N(Aay#BB%AjM?1g_z6ITpo^MHdib+^=WCD+YXOMQB>abi_6CS@Kp2jH&w_|B z9loFqgEFJTcf`Y^>(W!}-moE7-L&cEA#)sZ-?!QrGm*D)BS&(9yI>|?@<5-8fZX-- zL%b_}JEH_N61ST2i7F<%dcO_=@t@sJ@~J73TAT>bZ8v7$#nSO-jQtT&1UC(bIE31D zapfZ&YGB!zwHYel(wuWkIZF~#025jE)^hLo9+FFlnM0JnmaviTF@byDd)oyuCqW8@ z6i3I*LHG7Yl`){#+Oez1P^N2FvRZ6ieNP$K26`Si5P6<08pO>T`p59xm(bcu;wlDB z&{kjMfwXT6Rar5}N0uGvI!;Ve-OJIsby2Zx!(S$I~w3Ykc}&FP=LQPaq|b2|0v|rmk+z#(GsN4&_Lc7GV7mc zQXFF5PKf*W+%KuR1eLBGXo&0_Z2l(apfPh;v!N^H zR8Y>cl_ve9!$;!puPPTUD7vha(77Wlu>()$!a^go>*(W?E&U_?nTn7Ma7>n3Dpk)B z!Du)R9)|B>Ti#{EfYMP+1WHGH3=@t5I<+sfHm$K^?A;_#O?|wMJ+N{~zv~Ji&l?(g zw78nGw_|!TiASZ*wkmeW-X}iO`)z_SPG(EL*3&qQR(V@U&>`X>o|REB^7E=} z=5U)-cHn%V%}`M!%gytbrO|HCyp^E>gla+Ir}6|=88{CIJV&%ftT{an`sV?N_hY6n$8%OcLUnp|S+T3i zR$RN~cVE5@W?UtKDqXNuE2F0G956~^;$uRgay^mHUGSZ)FIO}i4e`8m(dIk;vA7-D z7FFwd(zlm!)9GH}8i)DHVe2p5=SCw(rw2nA2wl618CL2HLE;v#HNR@(PV}zHcuG{1+--gw98O|S~d+DWGzMEQVXiZ zh2Cskm5*ZCRr0%F<>Su0W)Zb9@}&%7Qe*W3mP z>@(jjE#SIL9W6h=6G1_TRB51{N8o%&&lJCpu7AGI=Zofpw`=hrd7NC~n-jKBb8C2) zq0~{4Xb7?4_ZS*~jE3Evz-I-5!UzIY_nko*|6UvjTv|lox*=d0nfkNF{CIhK!nKhf z)p{hG*J}yA)A5HdPUt~RQ>L%^)#BQNNDcMTHG&HxuJUfO0#0%{IKmpACQ3Z;r~;)+k?uKA_#9|XxWU^D96~FHuegTzYjtIjD`!ahf{ZZ4X7qS^QHrQzR zQB8VBgEnN<7|xwHKms9wz~1bcee|Q}hMXRkavEWKo`!mv$OIK8I?#fc;9nK`-oOz8 z7u^LoRhSbxVJ*O{DVbzCbfG&Qdl%p9W@ZD&&9@$Zn^u3my;PnZyiW4>qD=O>%lm0_ z)hfl-Ft*zJuo@+u-9Z$>jO;sx^AgkkADL(BW+1=?qUuQqZ?RJb+(JPLP8IXzyf^9nXV*p;rVrmv z=R2zZH>Ra^3+?f_=aocKn8|iCsn!el$q<<%UzJwwCiE5J!kG#x-fJ1@fZu#CQousM zc!m*S2SL*p@lxzR%@e_df`X0~LHlSV(C$h&UMP!0`ZD@+t0Z++xN!#O+f{Abejh8G zud3nOM_kz;)JI6|r?pQAxHFL6>HRD(!4D~5?2nm>@%+rk(RaMu=-?!YwSBa)s)`GY z)e_i@fOq9&&&blnniS9+eMAaU&s0;&YMRXD-`HaEYSH6)Gn&guJ4z2i?Dx)hp)hct zujVLtQc`K_YGs0voHM#X5aL$PJ7Le0yCAaQ(}w)AHTX#JusiEco+tQeQ(Q&W=YU2N zY{e|541L4-iVnF8-WB;W-`X(C7K0f1)i%6zU8`^m=%Ka{LyVF_dmF5M?o$RVY%#+a+gnKd|vdhad40u09|Gt3^;0E2FQOY5nU4> zm|qI3DfkV%$EEtS%|~qNT~vT{HR7$R7A#3PhIv_{U5B1L!y20CzrQpkkSqoWhJdC@ zyL;%%E|Ze)U#-I|5ziAHuoicIKa7By%#Ham5x5hXH?O1XR^%VeE~WW&_)agC@9iRhKrFiQK@Oez42{xV{a56ZE>*$J*Vgf zYM@h($npX!GwtTq#lI{Z>ko)I zgd{F17Mx6C8bfeU)7;{QJXOK_DEcy1Ev^q;Yjfwl*GP?O{-xHN)cM&cQ2wAqq#h=> zFBZ4As&#w-x}Of`&Xgn2RiXARE&^!N3oP9At^NJ;y(SqDFGN|23DHLjeC)}vB>=k- zDh4Vmmbz(q)af|%;#V3 znvhz-7cGfwxj&A7aWT9G#+Jo1Rm6+Vu0d8qMf{50plP=2*N*L~3=79~?9meic1xWk zT@E@tWffgrhWDiZRB$X{=;63aE$K;%AeEX_vsoj?qQrSCYdrsE)Q2-MS$qgt6OGyV z7C7R;6`G2E&0~myVonTjK`bdmSQrbzS9-e>E}stNfxU!&CB;1Cx@8$vr+k6{821yq z(4REVG6>QCCU7QFXDh1~swQl&p-Ohv^ZJ*7${aX)s?NnhqRAB1_olVTlh@LwE+viS z2VflwU3+2)GCLy|C&5!#)AIF~u5xk^nGT22=(OxB>M(1`v&lwA1W36U^YVr#G=$LG zC8wGvD^s6hE?gRs3?uSH>Vt0orX?~-WBv+qO6f!TpL>Z$3HTg04{w0;8#x6KR9}p- zd7T=;K^Y^n`^Y|@%9nNbm0hoL`r&O8@6OakqtHT`1teLZ!NcU_oAQ!<`iq=`R?jI4pMGczv|XQ^kdg zhaCspxf=_vL@w7#09qq>g5*o^`qlH^fq)`-s0(NxxByt$SMX~B+7fbO*1dr=@B^#! z^+?{hDwx4s_6gY8!XqkYF=SsbKm4`{^Be|{*hnYyF|a^9E0vwjeSSVOxXD5j?sEBL zO>KbqKt6p|z^*OeON0#Dh3kHS$_eFw@z81rTzjLgTwJOAp@zdg-6hDhUh z9dRik#CRbI&`96Li?M7a>8FI%;&Ny&p9|8Of?3=-Uz#(dxB{-a!W!~|gM7|xwT?mX zbcwi+SsIiLbiyt>j8QyN!K zcW}rdZHL}+cK{c1=)I(^dj~HM-MG%J@KwHC$*+nqc3XU_#v0xa6ny!oGZzMn-`%<^e2*q{ zhFwsc7H-@bB0H&(spf&x=FJXBpb=r+m$=GKS4PVJPmbcof=Z*cFyTk>J)pVcIkW(} z7`ocDHyo^dPF)PY6FSl%2yA5EnwInR)P$qycXnh@SxjxT3BI}0#%mW>4j-9-AV&?IF$d$n%liIXcH!XIV2G2q}`L_y`6J# zkl0edfR73$oZ+^2UB#8IxPhvs{zz&0w7_AxFMW;}UrEE*`q~aZ$c)81Kqe(% zX5rOKtR6(0SB-#}*UN{W76?C_Rfi#NEYL-*&SoD=I*It#sUkr%72<>^?)ry?`^IHp zVP*1muP1*NcNvSXN!Od}zVs1*P4r(vSL6R=4LA0}Emz}Y8L$%!gua04Z>3QS^KBQl zLGWr~*E5)JtQl3(S__4`f8OYhUDG-dB2)n*Lu)Kr3apshSl!wRzGyr3GMzF#0|fnw z=Yd(7*?R`lL;HiXXlkd%w15YDfJzud!+S|uQoXwc*)Trv)#X~vG&d~9y)LINtxN3%FHHvTofTAbam}5E*IIZ@jv(ae1HG*cz8VAbMaP zEVa83&*HKO(Eebz{E{d^5@|!t%3BCV-O}EcH{-TJWH|!>n}m=up+eF?eOEB1<=@US zXbE{ec|)syCP9iXUP~)CFFg*m0cW>CFg5?JdrxgQoPv%4Ox!8gw0K|?$B$^SA z4r8G_?qg5Da&kMRrcCjExU)p;8!V2$C;}1BMn>xj-bkV$o{<-_%LA@mXtTlA$~{)$ z_IE{Gzc?Ri$5qfFJZ?y4fTtYr9ld_ON5Bzwp#Z?=WeLkBlzO%H0~BO4``R7O$TJEN zqR>nX&&Nls|)eT*N`#olfx8DzwD2Ke5r4_|9;CE z0EiD>psiS5#H5>=f$j!x5&?^J<{nD5U}!ORW8ZiHApe;zK(cH9j9D;3JrCylxx5;M zX71!MxyAxtM&MGKcNI8`V6gA~LvuCZ&6gfu4Bs@YW57-QfA>Q9J+Fcz1mjn}yEgdm zzp(jzc5rBXe-0&ino{{$G!YZALeEF#SzWBl^AAYB=ht}b@onop2zT&i>!522Ba|9`tJ?qkWX$G<#PTj7kCBNx>l3(>0iMnITtov}+vU>$M4eNH|LOtK~~Vmb`oPxB=ctgQZ)#4jeB4 zMePg!Fqq{?XuMR5 z zZ7A$}L^n);C)VQ(xZ<9gxACIV5m>x`?>(nEbTe(ajlo#K#9;|*r&!Y#u zVojlzA`tA(NhrC^)0Z@1)-gi_Yx-ipl|EnTlLhDC*V$}wgp?8Ar)^uQ#a>%!b<$fu z?C^DRtm#5j!lgzYefo39k)X^YAA+-?^$rU7aXb(5y`NahjLonh50qJGfHdJa0jqAL zW*-nkO}VYNUd?@q#;eLD10cPjp6B1QOd0!JUqfQL72XIWQ^_l)%}HJL2|%7ykm#K~ zaQKrZFXV^L(R}^Mea^b>OcZJH)6nMqdJ;)r7QfPxxR-{>n>m<)R`2w=Znh@5lA5fQ&m>s>eE%<0@%l zk|K+1#a~c3O&j;%zVyut>0Rv1G~|R%`Z(~qh(&UGV}H|Exfe?Zk=W%roHy?B<2|@Q z#9s3JXa?`O(NsiB_#bd6c&iJUd1;Kkyt2w$J3k}28JX{}o&Ip1bP<^ftK6*xA$^GW zGtkUjL5@KyUUlFNpt@QpTy4^L4Vrx7UX3v{<~w{^>Q>nAY+JBZ{zlpmD*7P7W_P^? zh}tmIw+*2Pn#KPD@iAUmQ{XBl*bAK?tQ_g51Q|lRUGLM!4A*9D1!0wOjUSKwz5sL! z*?kAer>XBD`iuB!6nS?yvbmfG^xx(3;u&Z%Thc=VFF33GHYBh|BesR*?sbbFK za}hpe60o#{54%!q{yso%-{5;!Dwip4jYtg*a;EL(4%6l>AQ!|^;~&7=Vp-!`w`IK%_JTZ!(-U&P{=@m?E$G;rw`=+iDY8-Mog!`` zP-Z;PtR4ah3t~E66K4m;kLhd5&Nu-RoBpYG2|PEE~bv>1{7yX$Fgp!O8!> z;3nwg395C1`I#&!bTK8*jxob~QhVNYHn_TY*B*oCs&E$Rk|0^M5&UQ3L^|t}n-_gp zfT7T|%Z~w=vF9G-SsF6; z+7fB!kFoM--PwNtoQkn+exq6QUzjO8uN^u(Q^V}4%%8EK1uM&bl)g9(PooiqvS~r} zJ*aL&i|A=i&pj_JR2eh{Yr99l^0q*x$Qy%~5o_NmqH;`y?s{2!1HLTnX9(n`BnopP z{xJS|ZctJ9H$vF**AEG-4KFt7ub1kgBr=+?-HA7G137-PVqJ z0utzIV)Jj%-=4_YP~gK_x;vWnK;Ct_<-7bXw+>TxNYxU<2K=>Z7n0ZCkQ**JHC%Sf zFlwD#$oLw34DD!80Qr|RSvX0Bz4r`SleP0={h|K|U?@#dM9}Y{NCF5XtvV}q1oIWn z^YYU{0trYh0Ed~aNIZIMoABd#`(tKqP^ex!|9w3Dv()2->v+)LXiz$bxT1gOwmxrr zkfBW$R?0#!GwZ^;fD2+p%-kcH?+A_ipnJd7a=A7*L& z^ThbV4R`CKmtmKT>eZpYKS7f4aG=1y&&t`gAriC0_6cHF=SlTU9ySmxhOP%RgPqTI z=?Q}1JT#2gZ%{x%#vd0kmL4i0K8eRCYpPc@vM_gaAU*5u`Ey!G~)*WR}<&706)#nP3Y ze&=Vwk+$hK+tpnmJ@q|8WC|GrBv}nKDI&5tAQM4@WmSq60#jSF z8e05TC?Lt)e2sa#RDWq^NxrQkbN%sR^PRoI)hXEkkPlN9dKSy+6LJ~=RcSpz%{A>Q|PDErKz9y9>`==F}918-DNe+x}FPSk=m?h)0z`i(uK=Cd5gCKqm$Ld5* zRWf}?!wefT8@#yt8t|ICzfx~Wen}`gCxGV${|m(d$BZvLeYWMp`YOm8hiz~k6*1wv zZ*H*gGK1<9^6woBxK~e9#Oi*FUFU<$DxN7;x`31GXjfLny9q0MXPG$7&lnV9#KdC6~VYUHb9g06^o- zQI!ZX2l4#?w^`@!oTWMZO6p6LIwI(6yR0}sKKW7y*n*oTc57b->QQX zd#E4?E1MN}X}ci}3L zWKzeg3*?_sNPK9$M@%Pp#W%Z1eT4?7GLH>yPu6Y9z(yx>rprHGt}>T;nh*=mlrz8` zXNV>Nh$-FxU@naYLo;|NBq{I1@h#juHl=qv2ODI3wi-HYopgz4Xj9zTMDHpcf~1T^ z-r_8hw4Yao03NaU{a&TP%{G7o50WV+#4ti87=+=~wd6w0bB2L+lj~Sx75MjK4N?ei zS@2(c_Afe!A<^Ddy@G}jVI4;D#<9S*=9PaGA;eqznq=K3!{u>erp7I?22gCg5sz%- zC+MEwh!I+Is0ALdy>cbytG6|qanrh zt6l`(fb+YM^bGzL4paW_@f~n}&}`mBy#7@@9&ToLyU0=;f6@ex0RfY;Ag}1s-et8k zp$;d5!-yjSXYkPc;F9Y;W^#1SI&kWZKP?B+eLrehHg+al8cfKiO z+>DhO`z&is{v=RSL2JzbM4w zG3YcR`2g!j>p4Xiv1g8WI$_BRT-}~MPr4>rfs+j*903_62H?Jmr5(AgYj~|-a z<{jsX#kB*POaaLADT|1FFMO*+Pq{@*@G;+t$F!vFMUVwjQzyzu1Y!$KKBrNTG!LVL zO;mMsD~w3m16-@RFV$p{8Q|C34h97&=n3#4m0N=hukJSyC0e!npYW?tW&K0c!QE(C zsGw)n3$3EWms4 z>%d-u&(M(J!91^%Fbqx%cnlZrlsxp8sJh~q=yH0pmParhEm|?9^_-*E0C5S= zf{@Xpxkh9#sL4$-`qyb|Sct|P3-BIl=L){JaWcID?d12a(VB600w^{w&Aa!TDJem8 zxCad$+liOw1H*?>aDq1?9OYhiH>y?U<5IFs^YVk3>u)M4c=_J^ddse2vVP)O@M(s~ z?51|wBG75Bg_pVdzUI_of_yur`4rNPEKG7kYe1IB_anH69&z}o|`bn*9qcK;UKpYQwI@QwmXMg{8Xq~)J+0d z&Fg>Y6Zd++um0QpjJp)lB}x}hWbt5CdzLD;cf&`;GBQ^(Qh}Ss9jsiPBeRy8GAip~ zZ8;NeMR8p|zlaY`1eNmBwzZ_NH_;Ez)sJi!`}SFpVF0bUf>Fm{PTsM)+sSbb%ZTB@ zJ`>B9yoRu0 zLs^h*M$j6YaWgfq122?AC5%Zcy4hUv#X-I7NuxsTAu$3W=OG7Wa+uR7#^&L z^9|oSKp>atFO)1NcJ*BhwWoNjE;4R@9yWnbWjJGLW02$$RJ6zpq8pFo{Ln*vrI{+= z(Plm+6GJfxKK<;@neJ>m`G*}glBXxx$0$xzC`L$-Ra}?3IBBD`GK-$wI`QS=dz4Gx z{lrBSEuu=~4wb!GR}~RV-lYE*#WLRq1=VzobcC*m=W$6EJybGG3TV)l8L|9L1vM11 zFM@6&%?f>gzFWZ!!_oU2abOwVy=!_*0WCaIdDG~J!tBoDK8FoOyuIjC95y*Ut&zrQ zyYY4RNC8||b?>25W~DNae1NA-3&mV>4;f;FHa?Imc^`cQ(TTm=FJ4fY#qyb6s?L-@ z-$58i7*kqXO|_zn4@AuetV>PLAsIb10s9lS&hlsn$L@9o6m zweeu~yY##}KB_wL;v5hI0x4|4YR4L-(K)9#SDpDG=VdbfRY1B%l;(J_w+@WWMr^ol zLDeeYm;_aLS0(m|e(h32Mpp*D3dMh;oeJ^1h*kK2+bWXo6E-pps^t<4R_1};*FBG$rgTS%FUmm>d0jHpsGR>leu#asD$CqYshD z$-Andn3d&2bXdxL!>V2f0@xdq0<;d6@~`Ev`Bfcv?=R_L6A^>j6xW#59qvATZ&)g`c~xUJuwmorG?^ zzyq>(s{{4$n}7AmE+{fvY|Hk?k=^||%7TYRa*?^|U|HuB6&e;4hZw%_V7OYos}GSF z+G{{zFwUfUvwko9_=pxCUOp0l6(6XveC=$Cl5Y{_*8_2L0OrC~{nKZ%6d+L?r$1mO z0lN$JVP%hTs)(WlqQe}Y9kT@jB1W;2JnggPnEib(rwoVEjL}eap%$A`oar(cqgjQq z>F@2J%xb5-W1ofV8T#LT>IiTML2v?lhJEw@If>ua+yH41>!*9=9WSf@{0vGF^8nYh^ z?>y7_WdeN~rigbvd{};Jb)*_BUiVGH%PC(`)ft>@`)%?kr`2Y*t*%v}gBNX+$`s1@ zz9ugAw%2QHZobC^C8#%3rRDxF>*~$*v?*%;!n#qvt5DI`l`HsAd`tz5X>4Q`GlgRD zN|Vp7j{?(#MJO-U@sH~f6GEz=#K6^@cW281cVh9NH(tCJQF^9PbiS;a8&rnm2{fA# zy03aTwW2B~%DtkVEZ@UtWZo-@ESB=PrhM_25M;9FY`3F@^y@zv?j7+Pzb@ub$$j%& zJCEUK{)h$ry#qT4Fkn{NU0DIe+ol@emB^6EC4ghlTs&(LV5?OA>(O(BI^%NQKFz9A zvBZN8(kV;L$k=(q2`F{hL@1Rw!^j1I8ELzb{cU&ox5h-~R@mo946qm7O>z>Dq$Z_?O_HC)A)QzJ31I_-RJ&@h1Xh-vk~=WSfIh&BCFQHHa)MH!MKw@ z@3+HtTT$+Vf!r*mQf1}l|Bzk<#x5Ss|7=<@3QkdhRe>JqY3t7(h+5QSis%9tn_}pm z<*Kx|X_70Yf&9db{Ly4mDy0v-Q6=(6;b4P~oq_Mb+UCo1nia?9+Pi0>&5g4IZ3TTm z{Q~E78q6QDCF@L-<)I{i#U{^66h~0ECR(Yd;j#WE|LE z&MRGaI4QxX$&75Ip&g$KFamXkVm|WYZUD0$i?{2=&5!jk1$r|Ct9+x?Qp0m5^X)1= za;Fv+Bfr+ZzAW*8=?!p|2Sznv1*FP#(f5k}53U*AezbOSxa+We+2qN290wL5u4``Y zI!D{rtEmCOpQ>Ja0ZQmqupVzMXPGbPhm)r7T8K~0*z;NVH_KdiN$B4XFj@OPmj&Cr(pVQ=<>_{^%h^JjP`E%D9hkOKdj&li=25Ev9n*EHvB~Ks=7nb zxitfTo1(@4O^$H^JAFo1a?d$;NhkRt@}#LGah7Jg#ymdxM9UHgB-nS$?Z2HT|LhW} z(0zvumGq^zog?Mzc)?geRVbha6_CCHIH=zj033~x>zHgxm86F!Su#mbQ#yh~R&|-V zGt|js;4jYN?9jF5)vl#b09lYj>+t<4r7P773sUc5|Cg-_)ZRB~b7B zltu8N73H|Q>-o%mUv{TBN>~*}W;W${$9iIdsuZFT!2bl|THziWK~v7Xy#WmS_gfNf zT-w#i0PlmAdm{IB&&Kf%_?JO{&!9}ggDfzLcqf_(5aw)R6_eTXQH5xy=E5`*FpI&D zxuVsXqfXnFRqe~8*L=c4hX)bLoXC@qlZo%M|N0_4HC{ka8J~2Z%9PVZwklx@aQBjd z_-BTq^4HM2Ppc3F3BXIUsyFxetMa&s^snz(#8a)Ws01eromJHr0NA2euu0F$mOcrU zS1HP2BlV%9ugGIwx8=V`*nx+=6EjE%g+l@r{SAoraH-#I#e}92JV_i#96+`9pKOYQ z1bZ&t&1Q8?%JmyVwF)yGx_`2SfRK=+=(Wmm9}Z@D8Q=GY4!vI~82093_*N)pF>Ph1 ziINz=3Y04hdt%<()~X6(-muKzl_>OpoFck&+yU%76s=Ta{lSMi;R8>#Obzl&XCqeY z4>&lC!wY9_acY$1c*mF+%YW_jXYn6wFu5XA&V57#>%ETrYcq3ti4lDw;8+vq!1A)` z^|?|3t)KznYMOhYZAu8}z&)0-OVG_ConMloTkv4ZzkE5Nm{yklz;Z+G>axYwtrcqJ z{1~4=@LQM?4X41)q0$&!vCpWsT>sskTJRsS@Q`_32S%U!S=| z?>=hd>_}==Jg{y!3o|A(Q7!H)?q1g~UB73pt?+f1n4@d+!uZ*vutJ)#fWKuqtS25j zYviWHm=b1|y;F7N{1?9Kp+mFV8)ek@eh-#;uliF2`D9UKy2#SH}(8^rSk@CAER%x z(L+sIW)mMxlq^)*KEHX@gqFCmRen%_%2Arye=$aRk(E_B2$1Kr^297Bjrsbfy1d%F zOj+2**>S+H(y(1haHyV zciB?&vJ+U`+K-&)6pxMf=%q8kl4l`6HM7rZNS|1TG?c*TAcBBH2J_eTT00N8np3wV z{Ggfj{ZfW9+q|kq)1xG7haDxIi?|7~8;qROfFkT=cYJt)K!om$je?A* zAaFaytIWcC3(?u~y`e~#81k>oJbL@~BQ-J2)$WRKi6pklfJNr3%bBgf8xwAFdZw2! zDU1}C_>t0>0$uyi0A=?x!7@#=qDK6B%GI|Pug*~&xuZ6g=`jXRwSJtRYZRyzHstGuRF%l^c43AL{# zkj1vl*lAV{sFZuM{dCtGrFiNA^{U2u^Azpy*W;d1@js_EHg@FO`P9$3bN|M4MwkVf zf)AV6QL;K%yX-@VJKAyBAq=GQ{Pb8Ti@d=8n%6D2s#wm!=3guhaOO+~S-WcZ&&|2b zM3Z{sj6Obq;sHmq_!7)-`mAAl57E~F>Iu7YXf)!6#9h+^V4~2`bO4nYSg7ANLwmBD zx-2Zwp&jqM1$_8&ZBwhkfTEO7&B|95P&eq;YDyWA9_P#Mv`CtqzQjKw_x&}V!1^QT zNVh%*{V8X8?nsyuM=n7BT!}7Jql~e(-gOjkXIG8kjTe39LZYT}-y-!vMM`V~#Y0-K zIL{qbkPhzVYPYC1fR702tcm6kNTU3^AiN{seAM&CZ8> z?!?`=_>oHd^=q^Y5AnX-w2hl(m2?wWsTix_qm;$<5{z-3EM=QN|G|ms#orM;LAP~5 zb~0>J=p&a-YCSKNAvs$?5oI_P7ud{d|Lhg`@MjNsd|XgfC7W}1EBn17ZtIy?V22Mh1YD{Cv8uUgT1^FwDK2k^1Et>LHAJ zSS>oXhQWdeM*qDdqU)%0MA4h9&ki@L;&kGpg|ED25xKu)h8g(R>$U0LX@;Ng^`idUycRoQs(F@SV2-1)5cdr(now5ISc2_zQ7 zAtCT@`z!5(&aw_a^RuTLQ;8;zzk=i(rpsq9q?Xyg@*7+9Xg>XLi=|=cg4X4&((ID{ zx$xM5kFRL6Gy90bQm=N88;=B07`-g2(`FATp_JyRVFZiICLS!_FcrBTwb?oT*ripY zdy=6Ga0bx&ZEk`kfS$W{j=yOP_ExQA2z>2n6~hCpZb;r}#k!ty^=7_Io~|-fM-Z?O zt#1^_>M2|gZs&$oeaa6{KEgY2i$Y0`jHuUyzc?1=D6M5JW2(#19eDdnceEwBh8=X% znvGd=>5(LSb;X8=aRHY+2k39jvH8^GcOhuHGvE@mspS3YGXK-)m?%ni*Hu^2#vCl7 zC|G0c`|3$!6m$5Bh8P5AlrI?l{{7ahUc&n&il9&kVr370J?}%Y@KP#BmPNr#%2mR4 z+6)g}HqWSM0L%-?agbrnjg)SA>3BO(UhEt*A}Q)_+oeMYZ92&Uuo}IjT^MF1I;OLO z-IoajM-QwUEB>|wFafr`-ty1CxZ^`r7ke^;M~(*2_Zi@?Mx zsqo*4BE5d&1lHg#l1Vc|Ety}$(i9dNPcPva3i9GBhP8BzwB7D%+eVHqaFZKQPBKMd z7aM{jQ^T&ia$`e-HgXd+k=sP`m%m*xd4zrD2@O$a?tkn5Ce>@rj1S44TwR5_OwTRNdlNmw|edE9y@D&jzbG0b9% zivgN=gQ{S4sy)z>{^lPVDYO<{K=!3X-~Q?-aL8rOSLoZ5mF^hMUv|{)apapJ(@c^t zegm@Y_w6})ZX%nul76T1Rs~n8d!gb^bMmiWCaYp!gL;QChbrA?MZ)lVoj-m zkOloS^2?1Da9H@Qj4K^P#pZx>ly1dM@LVC*erF!1T_5~+lLa^GjDMdBI6t+E$V*Ti z{9c))H~mxLA2T|tL05LL>fCWQ<<&4nH7N*Ao-xV18dR)iJ)X(dFPWSkJR;%S74l@U zIpOQ604c;q$7Esd$~Ien<-kqsT8OT;sd=6YI{j@Ml1Ulv7rcB?7E0&-lQLz=^zwJS z$GRcOvh%H~#s6$U`v?=QGUj*i#{p1X>!>b0OF1!2x5T!~Wnx*&@3kk|qaZ&I?2v_* zYIODTt~>CO^ll#>7aGrwQ?SWf!C~m!dBy5S)+df(m6BDGkV#+Ehn1HEYgLpt(0eu- zg~A&}tOr)R%k|tP&$-FF(S@5 zOXjZ!TK`$OmBc8)ESn+uUd12Ee(Znjx>teBXRQeIKb$?)x>|{zE3ct-eUqmWzi$7x zfqJAo4{!~xC>7ycG8g{N#+TblXz_OfxEV}z#mD9+9p#YH4JhHm!!}2VAd{IUXMf(f zW*?@PkJSj100)9iyLHH$m4#n`CPFeW^vMAuKC6<1lPCI3dH>Q?!f6>{^cao2;R5}V z$2qIn;|)iIs9)SsDl^~6(F6V$LFDNtb67UVkK#*)NXgONC;f7FY4 zEPI^sk!6X#o$2^Rs=Kut^nOK_0@wh;?UI0m6&52ns-ypQ#|kjd2TSx`DzJ6w{oe2F zUS{i})rVhKwMJ*rXkB-P{Bqk0^kk+{8-Nz3XgfL@|28_*&yEr6G z0Mjb41-v%(_3LyMIS8Y#tqgK+c8egNj37l#UjRd^`q@x$8YsUZ3ndWzsMosc zMFy+&sLkLKQ^R*i72UFCerGDaq*VNs%;)Cqz=n1I9i{opb+q^{qZNCGz@aHQj=DOE z`r&bW!{<2O8|}K=C?W|z7k$2svBu&!&ICpwEb|u94FiStzG3MM(j?XnMR-))Hk*|x z)MmAP0l89p_n2F3!qz{dujI3Svj0+n@JF1GKst7EWcQ=HN@YLRbw4N6WO8e(^OTdG z&-{Kbzf>H5Q>1v{1(?8& z4BR7tcU|zF#vT24o^$HNrC1OuQ!1u^if=6bb{}k54yvQXEVB9xbr2jS_+ENU2)FV9 zh1NLW)n2B@H&(~hILd?Db`b$|!`ipC8z?KC3mvi2?hn#*>?-SBi-nW2Hj!cq4o5Y9 zhHmRfafWjRZ3d<3_p-tgC_ghxW+WtL?hs7KHOq~Zi>{+82mCxCFH6x0vzwe5JwNQSi4l@6*-N4DKsbYOD#=38nrpYY6obLnJ1M z{`cy=;U$gp%QEUociK8&q%qI}9s3!gs`C5`#I9i0+9Yj3V&r>D;?H{p$48u_pWoR*Z` z&zP^ZyxXc9#{=vsOuQNWw0rVJD6987-O@Yb5#y*qz&@ne+Kx1jd@vhF{5@#Qdh1F$ zI@q5myvyd#7%kP`O`~Xe2PXXdQdg27%=CH`%bzh81{cb9pJ}l4(iAd21`S95m|07M z8&T1(id(g$I=!=TAwbBr;;b2%k??0M2|%7@9NB!Id~-SZ+Or^n3G7{pO%5Y%_JO~@ zmPV45p5zCEWUWRnCt03Erz7Pff3K|}KXE|QU2ih{U#a15NXMu*a+UF@20eULI#3l< zkZ@flKGfNP5VsD!g>Q5nV%G&c`@zN} zFxB;+WAl`OY1U&(7~7sp*X z00hm2V>1%VTbCfo-$%ZS@do_fN_i0~n^QgtFRdgs04E66T)Z$w5~)(&IkEvv^^kS; zFtkrqf1{Z25bBQRpYU6);|*{5Tq=JyM}8;b=YgjBtC%L&x@Mc5|CKXs3Tk!|r!<%{KI8Zqa*3Oqi(e0M!3$P-` zsj0?aSS2U`r!tn!8klrg78ElFvXjWthd}FR-&Wf5O-P|X3U-@ty(fgxwaCy^u%B6B zgLeCK>>-S&p^RL*Cge{8rm7NB3_~#g-Q(Jrsb3D5W_z{56pNdLVq|RZ%75Ip_p?u2 z-cJA7m3b@x^EkU>`_uMOPhoenP+puoNS`ca2ZycLw@Z&KkgRAD!0M%s7QD!aO`giM z%sAD`ibuG5OmhE1INU@=(l~%4TQ#|QBGed+?)>FdCsUgN=|Kh_(3*&TmQ1N45ZSrXZ`w$r=E)#tl$q3dtt@jC_0)sHwI)ywo#| z$bQ|YRx(I=?MFRUC+WdAgX-Tm-H+2U>zNb&G_<_dv=aoS{%m$~8}dWVp@|{>UaK%t zNMLn8ZGJgZ*O|Jp0gMLPX4UDabV%%LFrBqRycyjHg%+t(rq%7kCL5-gPG+T86->cO zjTb`TLsF^3LY-)z5CEdGB3Rj{Do2;WZzaV+i0v4$@SlR2$OM z)AG9yHR4Xhf}0Ph@hGK=^an|#jZ-#WsGV+gH^)ft*IoMgyIDMF@NnMw3qG{J z{73*ww+Hqo$CVm`1(W%?OvIPU4Z(BeU}EH8m>GM3T(Q0qU9!yI=Hjp6#cXESGH+Dyoflv0IwD-`9>D8uR`C6-9%C>ZutGprCH(MvYg6&5xJ`3xwcYkRy zyNg|uHSXW3ioK9M;F}fB5yz^U84z&Sr5_4>J)~m>EZ@|izwr+VrMV_jMJPfDh_x2q z0cRp;-#T3o$D^q!7!{y2c_Sd#qO>)8Zo2uSHZoayFyG_1J3F=*)oE~QW3P zx+y{g`m57Qz|6Shah#%}^26hW>N)BhR`r|W?hFwzbU@>c1jEa$+2?y2OP$i#IcO*O z6i9=U?SqWM$nPKj9dRRFqDTQZVAmY>=EqxTr%V%3Yc_jZzUgCfb2|jBtR~O$i`G1p zM#%s*7*P^SV2 zLVvcQ9ng+Ib1fRnAr0OR(t-}|u$&MAhX1SMsTv;f^nP71P}~5N`D>;`hTGQOnj5JN z2zF1+IiQ(QL@P}k)p7P;PsLw9?bmn{N(@<15WpxOwRRsBTW0!Lj^4TeGc48x>_f*j zSz4ZW>Z;|pc$xP6sp7LmZm{v#R;njM)7As*);cN5Cj{_9t#ze;gW|)nY7cE`J3@fr zq-ZgIw;z~HO^3;N{RhxYTHr8+oLuFRRW6awkR;)7^h5Iu0sT(TW2vMg!UKKrwFk8< z;>SO3iM#S?8fWT;`JKKkhZhA1RQb2FzxoToO@_@+S1(mEcUwGDdod)S-o^4cy#+TJ z#qRh3zW+F?stgp^9J{R3g`t)HWQ�MvP&=*RjLAA2rMoSEitk6sX&+JT9zn;#&$( zgPqE+QqR0c*4!Q)Wz{2)sCM>~?ktsA(f{G+^CZ|_{cc?Z0fS_R^MLhT0vK1D-}JY% zrg|fi56PXKWEnl^%v#Sar8SWPYhx|n2pP%EZbwn03G=M=3uRV-)riW&lZRC*p zhc+X=wkoLk5)RHRs%LI>fEJD;cskmNEC+no?e!m&y$1D?1G~OIF@2+{@Im&eFF}UR z#5bSfUFaFI`%&T7!skZJdRNK(do?_#RvxXCMpBDPY7f8VTBaufL{%fV6xi&wySLwJ zL+-or4Ma0Rn~~3xy=VW$V8o>=kpO1uq-Q=`^`OwO0MAsSfkX&&e_Oq ztNf>~A$hb;;}?nvfG45!*5VDfg-x%yoHA;&srHp?xLL$MsDI~t?z7wUl{Jfg=sc}s zWd39wUj(n~P8IMZi=PhKAc5#1%dUeEZ7X z#cC)@k1BoqeqQ$p@H`zy?f#XhYJzV`kc`c&%7qr={YSwgBc6cJ{ z!P!*Ok5oyDS?eHM@UWn%Yu3M;lBEf8*azK9N8-bDn=^YSB2_kz?DkKN7SSDoW9SY9 zxR-^h8;8?~ zU{%2014lbOU>(|I21t7xHm5_pcc^;=o_%;b>*p56#U=a zBi<35w$mi^rQXB-qHQ)y|FJ34`)0_Us*Usv$61lirq2GfOqa$sH= zplZ@6+OF4;`*bBBp;7K&vXh-5B~SxvwFDyz=PyT)$%7kgxwoZ+OQLmgx7g%;!;KFBL*};^WpTXS zeTW1~UmopbPhJ$8+MFrqK$iD@{ysa^W-@-OyhMn#?F0VI`dT;)bMO|Az$6Or7E&g-k7XfQC!8nlYRK~&(2DOAcymDm$ z836v)pj9z@`KXkoALGUxL{FynPm?$TA4T2AE&YrhIS}nh1Q2Umq&HOelhK7YN)2R? zQ`)bV8Mi97G_?dH7r1r8@QjxuRbozvA&bE>W{U?Y)3-a>555v@8S*p3T&y2(K`le~ z_LUGPOMcq>kLjLTq2VHks?~`P@O>%FEFpA2#2l6}uU6zehh1r`Zqsv;eHID$vU5B2 z5VTouhS_TKVau0QmUg@G>d|FwEV}|<5*v>rCX?hS*4hF_g!HcRNl?2qEWP*EVVBg? zrpq&YNE6{n|3BGYc%uPM-u)WPsrl1KmfI55#vx=+2jP^%*IZMbHM#o%s@@@lK&QK49nNkq?3qWn(6cDboF zb^P4t7urW6$tP^;o9vmNI)vug8Y#AVUHZbMCwp%tjm@UUi)brN-axSN z(S@|inQadrN}_ zO3hF1hrfb_c`+FDS~_{&xc@@hBsHv8^f|3v<&g=m@rj+U*)%9ss%Q@(eAzo5D&s6-j2?Q&yCsD5z z^HuahhD?7e|6=~6rNoGDIx;zWo5Q$S zX8fK{b=1F|?=D7kVunpaCQaXyA1%8*ChV;h*+*aCyKkIjBO6?PtJv@tLbWnDF0#Cr zGfh%``r%xEhdc* zr}P}jPQY#EeUfaiv7Z#i|C(JW!?&dtJxO(Xx?)oHxEixBoV2Fb*1A%S+E-$)TB(|j zejdsAIhxN;7InqV%pmde@4ns|8viLKp*{829gkPi93^~Kv{zJDUP{+@B(A3F*gEjq z_i5#eEq$|VBpOfYFrP-fGBR4DxII)Ms8@O=KXIYP&~qVpNPkh~WQPAmbIKCtS8#C66sPiDvm};T+)Cl`` zshS?Eis8{f^CO;fKT)P?N{dIG}`3qRY)o z$Y?yGifZIaN)?HSU!d@K_#vaQ=kY(&)OWGy#(^K!&)O|G5U~N8X1Xs)u9ZsE#BJrJ zO(yp9b{D7etlvr9W25ft6MXB9G?GG(JeEB0;z`#{H*M;8IcYh)<-Hr`P3^F@ne1mJ zIQn4Mo7HGdDNIe*#qlY<%V7Uosi1_i2MGTbLvxr+8CTfyQi4KmtA0PGIIicYvU%(B zEyTm*j#pDW+*VZ@XF5&A zC?@-3=7NKL_L4~dJp+MK1?S=v`?#UFhd~C5c5?1ZxcUx({!3=E>1KxX}3e?rt!f zYr#^&FVobn>3++qxcq4nr6D0>^JkG&_Z3*_%32m0Me?_NrkPIlwl}=9Dlc8TG45sl z;gsgsbXlTLBC`AjCeN|j5zkv!;6>wwAG}^~s2)(=_;OasbviT^;;wU;kb*8fLhN|z zW|YcalmGn#d0T^rms`s&d{0B5-8&712>5vr@(@Yx4Z& z=jf8+POxSC^UJ{IS3~TIq{x1in@$!uq%Nfb19yH28}6IIm`Ts7gw_OLA+>y+iu z)fh^{kN#{vHZy%x-c~)n@oEh*kh{~?H1gmBSHISj=;T6pQz$ zapkm&L1#97cq*k*I#26f?%E*zF~%&XwSJ&v6Wt=-k3!^B9|_gVxfeS2PM7GY<>ita z^zn-xwor(?6tAK=T8Kk#dZVEualez_$2(f*IN@mJ&i_p{8*=j&3>3Nn6{BBJ(STiU0LlyA|L0Gm2N)} zQne#5k)<-@)#COs7Yx;X^{6_QS1tn><~qtVEZ?45oe zWA|FL?ce?fWupkulNv|2Kc0VG>4Ea(L#H)T=v8{}#T)hBA9sFabFybQ$?ohqXJ(#x<^Y#jD;imO(L6&r zndGqTW2!ZUN@z2?_w=|Ad_c8f(if}}^LQKdLG(D} z>Ay5RYIwlK+hHm@vf#Xgo;nG&i-RY`ywt5jL^LdXL=>cz)uC?>V&v$k(P`q~bn}Pi zJIFo~t84td_o{WDePNdf^>cvQ1HzM!cyXHa`u62AU>j!3Ne16ET;~Ccb#fuy?^@ww zi&TKsjLb=|y59PC<;)B0?*G1sex2tub77h%2dxfW7j!Fx+X(hZJMHA#>vwI&Zv$#K zcl1Zp+TMUv(ummN+pBVJxk+}MdFt|37r^cT&mgLAmDOuV=@;9=lcx<-Qb2^4M0lhn zy}*`sre#TKzVX5hm{oPD{?zK!Mi#f*gBB5$uG^5zz>V=voHb!PH7y76{5(6$4}1{X z`(0k4f<0Iyi}^pF9QYt=QTMU@`f2D1VP|P+AQ6y8nD+eFTr?^U9|FAphvuL2|zVXkO&bzMgTyhbpuqdNRLSIQH);d5Penh_gbkU6~ zlrhrO5iKKx>Z9ZHZPMAJ>S^nxVc#=xDDYY`q2@?f!!8wdz5b_*U+`z(=9^ygKj zRkARMEbHP}TxJTY_$LD31Utg@10dDon?ZOY8W*ZYqA7H6&%mLUR`OMjw0joS={=+` zIIr|4??#^JOPrJ$RSl%vRE+tkf%}qz3H`dKJ~LpgHMOlmMbz|4{u;hBSE&!Ac-1S` z*lFkJJEhS|PL_>meuTs@y&d#C>?O=6R3Oy_EiKjDfp=O&2Vq4F7`4SMv{MxtH+FA+ z(%kTGG(Ny=B;PQJQ_lX@#D)e{dvn7;=o3gCU*tw|?UJM!UtMi|LxgTJJjV_Nj}VFH zRA`AAx@-1C{SINOMU(%th|6sk!AFLwaW6{ zR%WnoQf-;Ho{gij8ig%>BxLlndbuB%l{i2Oj5JqOU1-mS>|9+`Q&`r?5)~En zof+yZ`D*s3E5jq2qR9X>WU>4XUMoLXd~=*Q_xRCm-?Kqrydm)zzZEpFKDM)J-?g1G z-sC@R0AfdPjbJH^!$z8#M50 zMZ>gw6dgnDi6sc;bEO6iw4zOu1Ci^V_PXu(o!inyoAP&GomE2 zJBg{MN)(_*rnT#ZqWmiR5*b;;IgWZQl-7s2sjr}?CeI~^>ON26@v$Nx){M;(Z#SPR zc~zum{r2$%vjbpu)zXop*t`G#o^g!)N@X}2R$8BIQMZPaL;EI{oUwWm9@+-UjG;M*Y%^J>zSer?B?D`y#j^2LS7uEBcLPwmpcM2%9eW%!U_-akCIA(=Gd#BTp;&N50<{bNnuEheFip_ z|D$w(#vHO3$j$sx%vm7lma`+!3l9?zce`5Ihwy)sGGq*U)%**m#V-nS`uvrtVaZAI zDpQ!{m^?fE*kj%+`9K-8;`J#e-k0mn;{Gb|D$8F(jpzm9^|ViUDvP>UAUJ;sxEhRN1n0cE|2Qp`A-BS}sI z{8ayH@9g+4{2{Dv3>o997Q=l6F&QGyeKMudRNk2+z!ksB*IG9w)Q-%;lH7RH*#RTw z1J{MXwk94xw{dl(rS;?DD0zlgoL`JTp{W32l${(@{dU1#v3C^QFix-&20qY3Y1Mf+^JJbOsxnz$NupvfKng=9G?nU0_ z*U5$h(6;71efIq3qS8=pjcRv3+hDhX4CASAWOhy=;#;K5l&Z(ujBaV^j*04gc^i}2 z3MLfm z{GIk*#Sh6VJa_qjx`(@!xmxfuYHG^S@*qSH+{@)FauxC;(DOVp{fbM8kN=EYOtv1R zuh;ic+mT1Z?WbO-mDHVkaj|-)vZKKupeV)vpPMo|2a4W1E#q$gmWafTCAtSk2I!^# z2dJsTIGSGY{vdalySdY}a=4XZOhPbRrP%W{cx2^y{9Vql%p;VDc=zn*ic~NB_#u@q zCBB~v_cf4zrji`^s_mM)T*`?1(-YnsIsIH+_ZK9cE{xCOvz|Cvw`)wbRM&p6xpwx$ zWMs@}k<5Z!3^1X$O2^d4@5@yDkBPDh(pH06!zTvf(ptX*vrw`30aEWp)Rhq~NvKK-8<#NQH2W5i7~~9E@(D#1B0m5eSO(3=aE5h^RKU~5 z+(tAnmLu>!2fFT5)1HTL>XnOe;A-LWBytYnjRnm?4J9%xNlHjEXLl&-J250iJVsutmvmo20ONX(Z-!7_Bj_ z;#JqVUolm=W3$5!No;JFB5aetRVt?{hFtAWwnzg-#$-wLxN^`g_*kWJ_$yvy0O|6W z(A1xaPxUd+eV^HzRR0|uT!sHo# zr`P#36BxJTFWFlrrpa``Y=mbx@Wz7m^^h2I)A1EF*l3b)3^tIuRNVDblnA^J zI}ozWVe)Dq{Bn#OFcJ{H>sEw+^)Bk$qM`KR=Pl%X69#0}j^NTlS+Z<$cIgg9Jyt{> z*hBgd7?JrN(Vs37KNqqSajm*6#x#X(=$-!L%CK58?E03@^)|~31>f+g@H5V7)kP^; zZ;()co{82{k2n-Ko8%y@{b=%lyMy6SmG&Xls!C0BM}4(vBc+5{y8K&*>nqiv5-~1< zfZa=xQDNqtA4g9Y!N~=czETG(mrWHLbNb0hyJDPep_R;)fZGiRA=>LWqFD!}F|igt zV${zkwtJj-f)Plj@_A=ff9&)!DQBO%RQj~XVitmkA1);@Y*E6h^!x>Q)m3va2;S+jbU{ z=}j%7#7#A(iUKmQqakg4TwpCzh$GVETB8EB-=2-t z-Yu`XNckq$3h6Y7wTgVcjmvv;NdCqTzw6_Z!{? zet!x-y=&>c&wuGMqQ4yQhlx_UBWWT}yup=VJh26qY z)h2f(-<79#LJ0}5H^*RbWqfYlY~^QA^fd^!iE15fLMJxQyR_XE)2E*E`S01x`UFW~j zd-<=!L8&`9@yqi4qrGTJrg78X=#zgXGg4Cbn4Eu=Me4By1nV;3R(slT+gl)Vy?y5eK7NxI>ur+TN|9LgiltFkP2hZk_yhsR+b(hIgs6-)7h zOGoHQ%Sw(ZQFlU+2k)}-LLa>}Zi*>aM{>6;{=jT(-y&At6o2rz_+V8s>Nf`m^p(K5+tO%JSi2fv`w!qqxFH4Vu{- zQgX*}&`FdD_7#oU(i=Ji>%B+Wmek0C#9-Ru>2is=u1ZtbcovZkT-QlKY6J9u%+7iu z{i+FVr{mx0ynAa8=*&dhC%p!6inedbCO173oaGGdQ7rjnwyK#dp#oV7Y+wf8O?fh$ zJ~fj9wY(B_T`7~)41XBi*3kok!P&U1366v@Cs!bJm#zF3aGyZf!7=lgj!)pTbM~7u zTqXyk7L~2kJF({*teZu0jJS=6^mwTWY+oRA(LUZIM%wc!ydgPjHqdxQENFUXW6a4x zJKwA{Gz4((E)i^lCbV9?3(Vb;-O!ksIs*%Ep*`=kY&bQZ?*C|MRl`2j`GjB3%~o<;ly6AN-S8t+r2SvI^r{+WS=uuT5ACMWuD|l zieK(oB+||D!}{F|unmfF%Q|Aq*n2TMqXmnF)3iyz48Rk76xeuBynRUg)WEm$XtG-W zJzFPr$UDjUfxeGkc^v!zLE1W0K+3u)?hza#mhjkae_>OJ2XKD^?EG6UF1XSitP8yR z?g!d|N_5nF=s_p$2M&zIFZV0F8E@JMXb}e-2f~vaZyi=To=e`)zb@6>GzmmkCW5SU zg~mP&qD8c%JmI;d8}Xt7Qa(t|eyN;zJJ;grolI0zk!YJ8!*ul-$r2V6BmO%SwyBQ` zhO-M+WjoJIT@_#_#g=K;kZP6o2=V4Uo zlVySx-If>`z~EDH&9pFWeGoldkKz1$-D%RYfWyJq-JLO}GvG!YiI2oj@{BN=`M(jm z?kPS0_jT2C256)>Aw;um)Mip9X#f1YY`e;bgT@x_Bd?d z$J_yhz(h|sa5Yq+*v_S!;%4#_!NX5FP#`DauUoSxgpaUfkh(n>>c(qNp)eDh7r)SU zAYNX*?+T7br8{`M^uM`Z)pAoO8on$aTZ&&Md(;`ZdZdJv2eCFfmh||0)Ew91N*k6u zIGpMX!gD`{9v9Qm>c1{XsDo3xr9TMYHRIbaX6gmEB#FwPgUYB~@;P0f3iW@GWhgDl zZfo>jx^2LG0CT6}>m^}&IAyD$ly;VA3!=e55KIn&TYtU8zC^19PLO9e)iu#UC$#zS za6Lbyl*pR5x#v=st}JRf18Aq4DFP>ugX->J4LJh}pFja~-qSb_45D^*28If3>W?zWCO1;mfrHhu*f& zdOKbBAzwNO4TD5}yh@3$X~=JG}@TUG}TAY=HD)D3Jd7w4Zj3 zh?mN+`GLJL-=QY&R(Z~&U}d*doawCb!)LEF*$@7?i9DCDG4%k%Yk3@#KfEw{GZ(w~>X{tIy6$ z!YC}-s_q9}RYqIL-INGF`+a)VsHMK9eicx9d0yyKnN-JT!-HcPi!0muEFHuQFZg1Be7>aDxx82p9`w4Xz^5^{|IrNELIP^D8M` z81;}k$F~hHMiLk-yxscOQeP(){z!wS%h0d)b^SkUu;_J`nlh`v$-;`Yy>|r zj#Ca4w~8KEN))xOvvl&`4;dmJ!@+gYAJf`^4bqEEtf0-O7#Afy#W3{=)mZEjo?GLW zIkf5n*+u3UB5ylCh7f7XU_2rqhh!l`?yR5=#Sdg3c4BxWA1I-D(>UR|REp+#GEbdH zyvfw?a8MfedJ36Xx?WaooJf)#e5n{4hja%ujgurX|w0v!>bAw#2l+TfpnhBP6>4I%;p`DGuuccZVau8NN zdZWWIK27~t>3Ck2CLLAEj)!0AOrRP(R)I@H=n__6HGb`^K&_hLaYA1eCBNBtEIy3Rc+jR&KO@NQD%mz<_8Vg8GwmAE)1P7ku-&8o)u3h*%u4t1g_V6NACkk&*g+)X3*Qv#QH+Y z_XM8)@v;i)h_!Y6`gwk}d~LB;GaUaH{K^16N(9qQ&U36jXROicQC3FnZANhe<@#i$ zHl2vrj5?!_ZKXH=0Bf{h(<6OsoLw8uCGfC@!UlxQ2WOD)pj#TDKsV~kgYRE%5Y?@m z0W!4UJse4;dS1R0=n}om80ClxIWpbInoOAzD=9@@7Ow33t`K<*>TGvw$*eP->{`8u}gKmlC;Vo1`XtNv`200ww^I6dY55bu(~RAx5Ip(KK1n#DN0ibI|M8x&cmwcWA^NM35{^Q*!z&p?$vs zF1L;2u;Dck2Z8F;w7qfGy*;07`efRZOAJV2@$)(5p9dF?a1YHf z$(SHSE=qZQWuU2@c6NJ{jDhmW|7U(6F8x2ATi~m`rkE!IIsSF$Y|mi}j*8V(^uNMN z@{Yo|6#vUeqhW^5*FJLl?h;^T4=uoJSpF~J(_%tOd3NoYOcQ37o2WX0b6sI3wyY@P z9$5*cZDZ3dTC-Ofl9Y$PsZHHRNdx7L!xNu=d?LPBTF=pGejxgvprEvQQf8P9en$Ki zlx}R@hdIsH^ITR9`*jAxoe!UbU*;=3KeEZ`z@UA|UM96Z-c(9~UM(=aMWl80+$Tu5 zT-b?Uxl#TZFF5H>JlyUdGI5TXe(0iv-gXAwz=W z6^^!79Vdz4Vsj{b$amwDI!%Fg`Ydch~d%i1~(b?bb~E{C4+P5G4ebpx1Ia?-;Cq)B%^eX#6dfk34VOz;=RmPbCt!g`6E z>@_i!h>lhSTOU9qjAl&fnEa2lrVqqb*OQU{|BW5tPL=<{?c?0w$4YJp+C%Hy4k3zf zBjWv)I#wLmRY*7JDPd`PyQR}{VBp*M_UaVkV$h)2?9^(K(*W~Me4^I*exaxvaty0HN2grVJg4hIh9wZQ677gq z?s7UJhZ@cwG2uNkW)@0$Nr{kxD0$56mpFUZuYNE++tH_56grEM>dy;r_Fi-ugb> zGp<+eo|ueT%<^8rZ$8zpJanWtMsmxPC1Dzq7jAtZQpeGp#2<{8aYf<-?C}zDI7|2lS5$ZRci@M?20O5`HaW85c#27_WYmC(=`_;lzt+!$ zs-_q&1T`NvWsqOqH2la#NNw4^3mU<|^T?>pV#|bq9pv5a1I>YCS!8bkPPYNoWJ@ss ziO95cobX;3Iw_a4jDr(y(qqm!J3n2-HgEXZks1-c2yqP7sZ8Xx*}0^e0<}iX z6I^+V{X)<^APn3}1t``tzwe;bJ@QY8u{ttr%*La}eVrN^L~o#yTKrA?MS zJwp?h&dEdcZC!Zbn}glDR>fqahJ$#wn_jOnEBhRh!JZ!~@Y86H)@4}$gy0UcO%m-g zM=09y)hX<|hxmN}UCj+EoYHe)AIP@_!=e&uH2KUuYF1c@{IgGOJ$AQtPHV+n0Y&gH z7VYQo+)SnUazItjDHDakE7kukcJ8!RDgzgNqqYueegC6#)rD-#dXy2!@e{ex}Q zklUeTQ>^mHHPyHGyjV2y*!M(j>stQk_6v8$^iiteqVj>8k+t2x!mtl{#59ytZu;ow z;P^nz9-zXElu?IKFxru)x=-~9Z2Hr*7#dJm+Jrx@*aG~7avnQkp|S%bmPfPfaBsQ< z5AAIuw+;`Tm)B*dex4A)PCe?o7fIK&)p@&XGjA+lyTai_&@`R@U!E^Q9skn_y?+T+ zM75|@1?F)@HU&&UY-dRRA_+a-p&mq0N|Qh+zT~Qr8HLTz4W)ulw)QJ$Fek!NQ-DW>A-#ilQO9Rm_fUt`Jkd5^J3cN-6I z%c9!Jup4U$AQ$L8^iNiwPgOsl+i<8z&7>7D8qXnqL4$`MfWK`1gC zp4y!Zd`I%r>;$@Zi1e3h`d?AcYTcTfOx5L*A{ zb*U@y$3SIoL#?xQjM@y7@f1^o@ zJl{>9WwNekz}%JT!(6PObPGhmS6g$uZ>Tq$a zlbf}V!xk?^H2NlQ3g59@I$(iEn|$216FKYAAzCWmHjR2|PYTU5sr1|z!WO{ia>ari{v)!Zj zjxFM58^-QQku2EVat)=U2wG)ILuBtEC?w~6)jyT!lRz6gY$T*85i1Q01;0@J+uilaK@MOmCSjuuXliG))s z?;^9isuG3V?`s2KSU>hIXsVF3Co)ypDq6@39wzy98~FMCvw=CzWchaALl0|@0xiF+ zOSlE+kLb$$j1rbOv}734Kg)dRpGfAwko_XArAG4XS=8j~%qKsxHvXBqEHd>Ri%P`$ zwB~_Y+w^7lt82@#U*1sJOWxpg<`W%4(j0!gbT(DJOhbN!K3QE89XePITpN`;UC)Uz ze3`X0g-Z?IyLCi50rC3b{3*X9SxZc()jqJH1g7Qz&~=hH5goZiO?Dg5vI8S) z*##ZB5^vE1ATZK{NaU}UO=A@kB+MD=LJVh<8Fr#~*yHHkrU#X{?1o%uZYk7NsvwL0 z%ptr$+&;mV_$@EV0zX1fO?y8M`%p1Rj=*t3DIm(bCCwsWQd-&ecVBQN+C3H2mIqfmdTc9uakZ?Ve!SV~ znKaE-E$R90mv92x#*f5#>F&){QAyou`spR}qY}EvGQ2kyksawWtHEBu=Bow%fX}5@L6ck9;5^H-^k8Lc1^7j_3vu1p#1`qW zR5$~2(P=m2E3GdmQ6eq!bnbS=(MJACv3Nm(anKcxX6C|Jjz@Xdgr&PZV5PO9eea*d zg>=_#mjn%FJ_=hf3x428L#ydOKM~T(R=6AI z^Fs2vyf57yPnP*Sx^sGaa~1ryL=ZWV(&chXYm`iO{eaDoZm-$Mvb4;s>q(nwsO-eC zy6>0G#v|X^2k6Hi^C`sRhBS|6*K(?b8Yirq>!|r$SOs8<=27`Z3g+EH*0S?2V8Rm5 zVDPP(?R^qpjXMb2`R#d!v>!n0BnJpHQJaUDNjCLZNz;8sYq8%kwVDW%pam}Qqf=E% zL_;DBw&8_ew%5J9w!1P*}b8t19yCt>tl78H4xi$4oECa2|^^3uQJ zo8p~H?jkMgLfMRzB%%~1GmAstx~06c_)G0zXWgV+A6wVUafV5$RP)#RN(58A5+vg} z@7P=n3S<019Ca0_O^9Vm3jUYo-&bbys@?Fz^4j8lIb;HwU0Nj&u9gB(WRqE8UzL8B zc%kx86e&o&qaEkHe^?63xuktSl39EJ(-LgW?@&4xcNH#Dwp&9gg5yB0wZLnWa(uIp zeG}W4;`2qUK=!pm>C~8fA!LWNe64iqv^(dv&Yir8VVBUu`*4YRi2mV@M8qM;R>+{& zME_B4!?%E$v6RP$`N)XgKDo~v71VZ{* z%t#L;ITWx?!d(qNNf_ZVVcm+kB9-Z$t?uok%aR)2$+44{xtht2o9)nr>QaMHA$o=g z?Vqf%U*0p1WkP1l)O@WK#H=#s8e^w#Ov`=Gb`Kd{AB`9xSm6SvS2R~Or3A~c5`dz; z+j@$}-plU>%1hs0OE#wTN@q_ zT{k6XM=@)IQne$no@SN4Gm4V6`Bp*4ioCLim8Kxz0BXt^Tj1-jb7f8%oD?l+D_$V} z0QMdqPQmh(4hki={g|nMP9sRm$+Qf86J{^+3+;xxs2``d)PT5qq0xu}0bJ3q zoE+Imljv!@TlO6<>0&o_Y-3-MHmF5zIXm@@pRs%$|GlXka+!y)6*wr#A+Pq>y7CWf^1GX4N~=LxIMR z>_5!dItmu%$&jpgU2<}m9{(rYR^M$<88+%4>vXurpyYY*C*1bNNcGBVjB)%M?aA}R z-N~xW;IHc_*zcsgP3EloVEx_V8eSdLr>rbs^z1*_Qd%OM&$5Hs8*A}f5r)>iP! zS1d&!=~pp1V$Vw?F<0cg*(OZgO|?IMv3R3+aJ>#a-xf|Z%dD-II$XVy)I9xeL6@yNSJXUG3qnH90Q z0r$sV7@HALDESmedsv*(_KDU8z87sG@xS6sa-(2RyF|AFMmy}_;CGGVZ=FG+jdOiNXq-B(+&?{v5uY=kAj??oNG+rbRz!17cHQ@x((iYH5N zSsO@h#-T3fCNcRpXtI`GH1hoNiv2GuGubbFZQ6vCH|6N~*!U4uhO+b6&g-kWsk|FQ z&LalA{)d#Fe~EqO#F41EDr$5Hyvr%nE^T-j6k$;e5msqgo=%kd|e*ML_Sa3q}g zaj7ss-EA2)5_6Vcy06Poe35MYU)1|(4pWfztp+?uEOu_OSVI5utY^GJn_mO-=ZIcx z?%+_rTaG#C;-c(gMK;Y~>RI!}8iiQ+$7JsoYIaxf;~ZejG(>B{zQlmHH$R_^qm6eb zhB-JoBq=x3Z+~>meKX})T>0kH#%>GOd*|k6PKyCw#JXGXcS?^2cq9N`eU>u>*tm9e zTCJ{Jb#~aWGdlQurJR9R&YV1FZUUO?pWf2g3*id3T>-asOwkG`g&CkjVgf<7^JB=% z%17x9Z}j{(*oJ0(S4Uc>w)Q_&75L_BHG+5Pn_$55N8aOopTZH+)P%HMUBJZdgmoH<{>&~Is zO9j8SQ+Ck|3?)O{osQTK!ofKiy;)J)fB7HQ?hv4C@BX>Tx)G?3Nv9x1cAOa@o%-_N zG&@|@$DXs{mW$-@8lwur7pPb;om%D!-{wXe`z!R3%VI{9Xzg@(IV-id0fks0ve9g( z45sQD>d=CdXXy^uad_N;!NBFdgKp|jYlO8ieM#TviJ%*=SdX-{9#}foTSTefO|}kh zLko}0zzgcT$w-@}f*#+ZaXK8=mJWdEW>@`*X!>zgO6cVjz|);9w^Rj~Ri=Wac-VXv z<^!?Cbb)^N&_mJCf3&2G9|brr_*gWuORSXa@84Lpul}?~XQeo6^WH^XA@L!^N*f4z;#v@jh*Erngzea%Pm^!Z(3;1Yxj!eWO{ z>E31rRFj|6OdB$3&@HIB6lV(P;Hf2Z=! znYFC~QNtO+U0rjldnG0e2RdY9C-hdzwu^YGbtZ2i0*4KHH$ZZuqUflK*NkBfi@AgY z?|RKE(ZVH_TpM)Y<&QC8moeWJ!H>sFUt&LaZMG|ZSSkXBQ^MJt#L`}EjTuLLV%q+! zzs=F7x29qf;YDgv;rW<@fwN^T-1UL6E;`+E_Rx+R39~f;Xip01rY?CRx%VL^8Ls#6 zAa&`duv+jk0HC98)@_7_<;jH4B%>~~;{waFEtCHgu3;LN1XsQs-HDqF$*5(3{5 zceG$cj~@#b6HOaRu_m8MJW)P5In!iQFsIqURbj(l;Kk3T@eGGAhttJ4!?Gi!M}b_J zZLPL_ghPY1U=Q?w;{QWSY2;M%cEYhES7xT^>rdRx39I+9f>$nbWK9std`E8^LT2;z zbuBWKcZKe&@7qUUyj$TqmEW=R5| zE9hddaF|I~DIs|nxI=xm)%|=1|KFW0;D$;0r8~>hgpl5`dlgzWk#Alt(S<_aHjQ*A zI`dBgAYcxScXgL!s3c0cJYGP&U(qs0mUiq2>i|)DRPPsx>&(2_{AUh8#XWDdYk^~S zsSl!>7KKrkiG}cLKAV@8-f8H8(EmEksoqvQRniFpDTwW?>rK)Wlu1Qdu6yTbcc(J3{g3Pxx7=OAOR7vG^tC;vIlYZ zXXY188zWmUN@l;T2t=d#`kbsMz8RCqQqAu{QTU=u=mfTN`T768cb?b51HV!ek@JtN zKXMI6@7Qke1AXX~6>bfqpfaZVM}dh�?XHnW$-=zl3G^xM2u9@XPJ6>1zzC+Cx`H zR&6uOkm`MK2aso;y)pdst-Uc4&1b4sWugtWihQ>Sq zgsW9Xjdgeg!^8CwgKuQ-Tbo2y?`SS*(*Fw(?>Co*wg(7Dx<_Pqlr9)#&c|9q@Yc6peot==G}mwM0w)Fe91r z;0A3fJAmu0qKB;~_W8W{y~wkmiOf6FHYTV1??qBjZ??yHmNn@K*ponQ?6BH}lAEcS&o>&ZMHjNGR)*X$i!rCS zX6Q9iE~4tswa2p7J#%XT^1mm~wfGujhlj+-RBf&B?>3XC6OoG)e7jWhr&c_}d#b4R zTOamldpu(FXb`~_4LvvzFe7A83hl|P0W|)kAPY9)hLcau>NU~yr~?5T{j_!|zvHQ; z+1t_&uHHH>-$Gi=DvvXA5F6vSvN()B9A8!FF+MXImXKu66*`cLA4`7w9-MFku?xmL zA=tB2I+zrW@fn`>Fs0Fd}4Ln7UO{%JX|2*(^uCU*(c*I9&?j#V`u_VBk-0#F5A&gMb5d}fCAMjgAi ztc!t8l218R2P;BZ?n2MJp-6=*{pkELlja+bh#@u?v0>Y>RuWJWZ|jX^n8{H+=kFF%vHqBhd(2~%nU(07 z+AgLSC4YwH*51~D&$xgf%R4Jx`Ep<1ugr})KYJ9N+`V0ptMoHPCOs1vRr{D$`wLG| zoH5qA$R(BUI@H7q8QEG9&oa^!a3GZyTrTUo2MbUE)ulsg%7=u{;Z|!ONvJPN`07)E z9sX&4iZg@X+Ek=^R}L+^{Zx21abHuXT&TMhNiGC=uA=w?S1OTk(`)fKad{Bfch19i zL9d(pnvUEB!$d>Uy6nu>)R%*_zACg$Osn{Ci#SsGC`^3opSnY$Fmiq+Y(xSaxOXeX zLe^})Ge#k&sTur(fxm41ZObtj@lMq+sD&A_)?n@QT<;uqP{WHs5XF${rNZohb8rl~ z<~NVjA0=#d8j=WkDD#ml??H$i!f9SeQ9TSnD(7r2t~VEW723KC_}T=yU~BI6pxUa-5Sk%sA#1{=k`eT`ZF-Q;hCoaTzbFmA zlGuL3VCX?T$COSgvmhf*Vip58qbLj=W73Pb){=2AJ+Y+;D zMrM|0(0+kWH%K2Zkm8`K*l@`#Fh64rX+6mkW%1D%hjMjB9$UDpS|u>=`@ht%{vS9& z!Oh^xbH!tbgpYM2b)QF%BY&@8Cg(@h6#>z_H{YQ{?qHQ9_JHe$2Mm&yn-dHY6{hjd zC3i+WK86$ssHV+jJX-0NEBFf=ApD-nLTLT+l)rX>=f7<@wY@j@AZn)3L`9olZVQq@ z;=5rsCL1e-x~>tX{^v$Azg`@#kS+Kqpi>bPjyDng6CLfL_-eB=s3abwGuVw8TkY4k z?aGj5lzxlfU(0ltd-bTeAgj9J_hUNG$l#G)D-dfZ&h6A9R{nHgyx66l6#ss27Z-)7 z&Ie3D#%O;|{ld%Sbu9U0wD68pGYL3a6p8xQ+b3c2VkQ|GTHlJsHQ1 zKMJ(|(`(!(i1c?SgW+2xR;hS982ckC`p>E3Fy6=2{&yoPD^D{yt+g{Vh?K>(e($O0 z^8EIjRQ|WTi2YjrH-5~ZuL>KLz22}WVrH?-Af&NTb3N8)VnU{F{H1RA+n>o(V70LX ztH$8vU`WOPnivG~_1zi*Y`r#&S}f_melv^zmP_lwihtfPXs3sxnU!M$7+moT85h=I z{9ly|OuJj5nu4*v_5S;u-}Q;7fA04ZuQI=gwM)LtwB^NM zU}ne~e|0J2+Ih0G4gPM{3vtnYZyBX;ed{!aWUv3LWO{1+&LHdz6O#J%JnApEmtZ&O z@NX~13@T&4{lw#M3rwX;j(Ef>UV13|;djqamaNu4dxn#gb{JpRv#C1gJ^Neb>L&pu z_7ZV`=`#5&HsP*W^{2qaCraJYqjL);ISG$kWcw>*t5$9tU%Y64501U z$o3R&8NB$ef#IRv}_!PYSW)`SyxoxK}V z7i}U~B8TW6W)_+MP(1%2)sK&mqq~@lV%F8ltaH4WYRKDbF>^#k=#Ue!I-E)bXh(ph zY3m!O%n-PvQ(aC+f7TMjcs(^~VL?_KthSo+{s8tKdKL9>IlGnQ-HN6TU3a~3W4ixa zQj3V~uNBQDGT$txg*U?o9fc9;uev_TU1V)TtJ_9fZxF#9qxKlo0F1{}j7)yDqY%ol6b-x1ty0TU82+E>Lc z-z>!%uVKO?ImM34aW83dZ7s@OUsjtG7ZHBUn>H?Q=?`xxrMTf4NNOHqf1QYT`U^hd z-G<#fPxd`v{cd%`X3uBd#)T!MMcM7#!n*yw(oFS10$>eG^^=kNng!}i^;iGQjRyww zDLM3NBt zVs;o+A0XUbSay!w3j|(m&NqkyxKJj4K2<==6OWLm36A3V^K77}mU~Uu;v=+5HHM*Ggl=9}My} zLP~S5>VE}NPM-XCQUdqmjyGcYwsvUH!f7Y$Kq2KUs0BDE5>W7W-K9CQ^O@Rn9&Ca$ z`ags{cOcc>`&UaPq(R9@k|d+DXOfhiy`@63U0kwmsT85I$}DA%OZK{M6d`+D+eP;7 z+Vgil_Y&Uk+xvU|xc7|bJZC-UInQ~{`JBVO8;0mZ3xJDBR?Jr-94LDV(}+s3tbJs9 zpm>u@`tp}!>(<4}VKb8Q)8IP<7p;)20c_5Z3o82#^tw|P`7zTqFZQf31jXLV8SB zR*_s^n@w*mg`QeOl+R|V$fW;zlvaL2vyaX#eVHw^Pn%=7h>_{tsINflgY++ssEXVd z{`MN*XS_P)m+32qb`6WA30LP|Sg8!MPwjUiV{r;*!#npsw?W*2w-zVVj26ldVQHu0 zC$hpj^3bZ-Ujp-~I>e1Z6 z;|BM0aE;5K={)W>o_&xvcRBHFA8X}&M_02!R>+CPFZ&xhQ*ZL-adGJL6-{<#abs7x zj0|*(Pi0|FQM1)P`laQr3fKBt{cgqNd-gG=M7w=y6_)%w+ytgZmrO)|j@Un|;%l-G z+}PpTNedGwr-?l6K22cfg3h^f3f<)4cM^P&!)IGh&wjUDwV#)FeKI5YdSI$@yr{jX z)iizGvPjn!_042`pM;DavyqATn%KhSWkhIa)?I|@mvv(mOZQ}_)in;$`&A*oA}ocO z0}GYH+uW}kOvR*B#N?0fN^Z>dbzjn*7aS8cnekna~{RGBC z-rk$jUH)7!f%7o_<>6H!;2r8;Ft7dex$AR-l%`?)8gJkt@0DV%hF8IG%ju4BNird=m0gAt$+_Z#8JFX(vR5ym~Ui@m-5g@65y!g6ua(bnC3hyKz3wW&TqI zV#Pw0`CJ|}Khh<%yB9=f$$Qc}6DVI~)10$#X6?6)6e{xYHDv7OCoVc+xY zdbMsg1lyV~i7EJVHYmqc2$MKbf94UCV#D=T~50hjvrzMQyX3n4qQRjtL&m^rPla zW&1BSSr?4P$CsBxgVR3-ru0px*4wfr_PZr?%%~abEt)mlK*e96z$bM3s1MZVow8_q z#LwbApEXM+1jaj`wPvyJ0aE{}%k24;UY%*dV=tPiQrT7)baj<_`rtf{HygtB3hq6u zN<24>>vgm%^x|#NKF7C)-j#8Vz3TgDNnofvVXT3-YZjI<4^3V-JI68q;S85ie_y|j zP)}H7aTa^+YIPHDrqIGe>25R6&f$E6KoMs?;SQ#2W-V-j3ht+@Eit*3c>}zuOY^en zTnJvHx}|GlJ&K)^p+=~WO&NtH{P)VbZ=}3@kLGsKM20# z#N03P%39OYU;r_|b6BGot9sj^0igrOe)HwfcjajMEQj~XEU%!9MGVPTr2tT`= zd(0`=k>82WSOjZI(kqwlU&ewu@UAK^V@dT!TzpMQ2+Fiv_WSW%^J$sLQ00B;N`i(f zuC5;D7I`-1I)i!fVw6X*pNIAD+r*^B#6N6qnC{4zEEL<*(0nm?A$BRirZ=WnFDys6 zI!SlL+eXV5QUO?Phd-1sBQ%H?`y=0mn7pF|CL3!Jg2{$534C@23}NAC?JJ7`8gG`p^cX*WQG7b~%hQMqeR8*EZbbKvdF!HiJukfN=*sS(Ah(+u_=?N($GO@+v%_DtOZMA}+wljJ2{Gm2E%79TZvs1D#?GU4?X?svAT{72wR~es9aQS8SW0h-q z=8wt|Wvodfh=AF;(!N)})>4eZJA0~yFzAg!qfPJZwsk!pS&XM^xCmp@A?HP*#?tz%{5C;Gh5V8mh%r^qgADN z({uCX-f$SoXMU5N-}N#Gp5x%Im4W( z&x&HyBK0Qyac2QC8!~ZluOT`f+`K3|_zK*?+WoDEpqR1KcrS?z6n-F@Ii@-p+`FB} z4=IaBpMpM7&u7>Jd*NCOce63zkXO+&NGM@2EX5~}dBkLfMW6h+PfmEIb=LGqFl%Zl zUD(5AdAXDR~duS$qxf`QZVX)aLr!s1D)7II>U$!N!D-Pj# zC(ch9nOp3_(p6?MXsgB)47gaR$La9C)j9rr`IK%lXVaFTPihs8FxC84O zSW_Z}Tl8K)0t#2=H1IJrfw)wO%NVDRzH)8UxriXD%-XcDGq>xHfvc}V4)p2fE$he2 z>2_=V>8HG_hmG8YE?QUVW;i@n zeZQ6}9>aodP^Y_pKsd;&$e?f1i|V59lJfZFHdlq<;@{cXN$SxBc}5;`FISjDMiPKX zJ;D|pmLpeV$uN9DUA#v*E#3+BCihhL13PJS&Mp(9;Nxn znQ6s;8k0&NYc+G3d!v7}eO23OmMbUkUA6tAMH@COzKmTJlft z6qgv7c|rVyA+<4t{*l3*9?;G;0B()8@vA0bOKga6ux#U39VvexW6~;Hk9U@Sox>ij zk~w$C{xM>f%)xW*$B45&TGA9@sd*Mx*!4w=+xI&nu7im)TM+4V&(KnhvN5zCzYq}Z zE}$*fcHCS(qa@iT3xQSsQW3@A7CC2|fA-V&Z}0bc_JR+c9;u7cy*(STs%$~JI?fP5 zq2Vy5qwVtbOqW}_x&Fm+Hx=+r;?I($SD{*MyC)4-Nx#bSS_>GA^0)45&U^Ctcxa4Z zQgq32rf_d_@{1pRgSu6Jj8P{o!%g3F-txDUf4$GWN{UZH>D|~7t+lMgdQ^U@8A*Lj zYlp0O^ikuIX2m1FG*z<33ie2~Wfp!Asq9um9ZQ&nhuBZaHyi$%S*~!W^ll8X?|!Ax zEJ>HnX1h91Z^Rx?*%UDR?FhOK@e^8r!(2SaeM0AhAZrIwc*Zv4Q1UaC(`LDj6G17 z()AX`drg+xWc|K397wl$l4^RXmtmiW{;_O>ppgsVsh2<1KlMByqsKTgkZ~;5xT}vx z!U9n<)-&&!c}Y1f|GTSZQ+}zzhzs{Jlb&3D4cL?}e<((ZXZZZ8Xsp^yrw8TUP^A!k zr&z!^^<$+%pyh|4jsf=0gS^Kb*|2ij1@&1rx71rQ;ygL{G*=C5WSrDeUgZl~wB1PF zdtR#AEv3Va;RbuZrr@ox9OGpNfmm6EED_#@W~*l*G0CkmcCjKIjr>w6x(-^&vY*+C zdr-UwmSh6uYeTR!3rSj*7cBbotZy_2KO@@WU|mMbErcB=@oJS`s71m3#uvuLQ(14C zt;<__kYHBT9LC!kSxpVFQ8vA3OOw$C)gTMYFI2Ny1=*F2Xxm*bY0j1t`|{T#-V%&f zE{xc3fC#QER{$c0srY^d{N3C;2Fy8WLbt9C%H_7OEe* z$O*jJHT;c8@k42VbTD}S$I(eFGU7ck48-SfSdD?)!+Pwq{-nq!#^Nr62MR=hMNDqf zI0F%!@|bx`h-Z$diA9@1K`_`ux!lBh5u#m+5HSB)5`4OW#0v~UZH{EqeYhbtFZHKX ztZTD!CvChb2I?*9ga$>$iB#tjk`jK9HNOo;_dE~$Q_ig@$c6L=54=pDwveQf16Mfx zJN$Sg!q6uHtW1vmCOjKG|38>H>Ap>xi@3($jQRqu^Un7MKFn~~Dv|mW z6;yT`R^qD}APP4i0$G`19c6vf3z^=>i};FwPkd<61)aY?a%9>uj`%z(QoYmf93OOH z{sv&GoJ<*kJBLyOvWX#^@QXapp#W&BXCn3z;0kN-M#6Tud&6MMJMjTLs^urXRkQBC zX~%!oY>40J0TR6IQ4o4?GvyRjjED}@gWQ#U)7FK5(u2#a1L{Z~dY*9uo*4Vd8}-j$!ZLu8uT`%}5!0O?Zr76}lKBVAQx_3$g}iyeSuV93zd4Zf8DSHu&j zZT?*KHy8~z@blXA!!Q>;Y7A+&{7?k)=&I`E$`&~R8zQ+lp8gb>aiu*T%nX0hLyjpA zz&DD85i!D0OYdK4+Ym3%Hy#O%;L(+7=^gklh84C-mGctRXGiphCeWy2k&~R??ZLnT zPiTNAUZ+%OHX5@l5tz(t#CFubb_AO@u%1bHSM@`=q8f2 zc2wXO8?QjzVNg!KM3J&F%yr|PKts6hD7(_|wBw3u%`5${fFu&Ly(LOzfMFlSD&`KJ z@`Z{g_JZGWbMWFU?W(p$eeJ`FzF@#Oj=hlm8yR}##W^TJfnzhoi#dUjk5a+&ZYzx| zAnU6~H!I7Vg;2X;iP|9|q^IhM6)u&B=4gG;on)ZO5O@;NGsvZIv(TKd1?Q)!x7f@2 zD3EMhalm!85Da>iLcI8<^qCmNa)R4iASej_2P+8>Uj6J^bhmH=b^Y-2s0jfNDWkH_ z(el*B%dLbU!p{g0X>60lo6Q2A%>Hcg59WxQhc-FN@?~x4B|(R80zdTF-ajGb&LMF^ z7_t&H3wY23T#L3H=R*Wd1Mnl0L5(KP5Mx}BYzQ?-+=)dpEJ2O-FMtdMQkL)l!7ZsB z1aXxsZ91mlfwxX*AmR=xz?Q+RrA8EJO7|-C0wI~}=L}u%yaCoa;!P+Z0Wsgh;3T}} z>>$|f=~0Z>QVNms172ItXz&8pAbyzP#Ac$YS+OMvHsW;o%RXzNZtxX`x8Maa9|%c~ z=eO=%Xd`J8imqC%0rzKp6YuJik0nc)fCq`(><)J55laW+N*P38!U)yN=3$ry9V<{i`n1xNpkE%k+{H?ug)suO|4_wc z6{LV6WPOBHw{{#F9keq<*-gZd1L{a~4RZ|(*jK_GxcMg;aJV&$8ZmHTuadGu4FJ6$ z-0lV^BK&CUQahPjSP!I{{XJfF@2u^ z*qS3R{1XN{6!KdD>L1jK$R5Jh_C^#2HEm38=L{a4=6zL0kZ3R-o6YUF`hYSjFhOon z0sYcF^T=O%zPGk#(PiZRVG!lG9i0o(vP7qcH@mhYvKrjJ;}#?-0g|c+j_;y4`Dm-G zIWGZsQd3HR_6C6QbKDPnZ7gjrfC+wGfaeqH8?)B&u5OEkjvB6>YDn3>I zQ=GwA2n@bKz%mL9HBe1C!tU}WS=c{BA|#u4{ZaOC1DhJtR8@h&ZaSdsan^yPS6`+Z z6DS~MMn6?D*KmVpdQvX}{bLHVrEyv~eFH)rrz#|~`(e&?i0xUbLx}ZBY2@3QyC6a< zr#%i|%`WTv=q~|$xbODF?O^0Nu+#R7LKgG}m|i;T{!6gza2K5w;c1izuk>|3rN z#xGEfas+;LW(Vz2a2bDo#|RbwVa8iK82jkNO8k2;T_DvJ!ib3;{(NMa3nX%h%*Fsc zY^`__Hi2O{3G&JbgeHa(M@KSfD%&M)9|-;c;KtjYpIONC+!{b)zOe-$0;yw@2KpX3 z`H2#G*ad(BnE7MAnV#~(ExJ^Ldr`Lm(g2qXH5>Ysm?kk;pegB;^7<*t?e&Ef5tQE= zMDQ+L$(a80urEx>PG5fq-Zq#p34jVogc13ZKDZ*b9l{&QHTTFzTB8xebT89+1{Ns(y!2(n2jkpYjPIc<;eP*d18L6f{ z<00SMNF5E13cv!x#OzcybQoU1Elat}a}|W+*n@l;P%;3Txv>N`brIE&_*g>e!1X|9 z`pCsc^H3|g1>q$KNJ#cfa!6`!K-hIpz&+OPMa|(tavvKOyX^$_d>1`cO6d!AnDwPt zJt88cH-T2gsMu{JoV9FmI*4`V^%(EI@&uIyZm;zT&~@Ioa4f4Oviis#pme}%Dd^qC zlX*^gVJ)78JabE|+dty%8hIIX{N${PNj{N~u2n_fLogf)BBJoG={AVlh1#~e((B>u z8P{iTjLsD{58`vXdfiiecszgxfD;B=5~U!lGroy*ypKhr8}eN}~((AagyRK<0CTT?3wDeSH< z0|^XQO_wH_%}D1wi5)=1uBjK_Y}bT4xwaVREt_)k%ls)*PU$FBJ~rKGH>j7gSoVnY4D9%9u1hIu&WwCtv%~3FW~%LK;gB% zb+tnNIO94?VQRs+#kxri++ekHa-Zon~B(*TiyuibDR@_u&lx^`f1SpBke|Nt14Y!m-i9y7A8X*=|Ywph_8bcyf&*W6{T9 z>b1S;ixpAv_n2X5WYyYWJ$Tp)24jUxRr8Y*13&nxXq^hrgu5+zuokp0$|pY1kYz!g zI^XU3X8q{k1Zg|a3oyD0NgH{~JAIpQmtV|%voY3JUg#CEqTCUpW1kOns8&^Ubx}+> zp#m3e^lC2paP(C0eR{cT<=Cl}8Y6HB3WjM<#t!zeFMchGepdu9*10la%S|g`%JZT- z9;4!ueS-`X4ZQrOcb=Hr37(eeV(4pZSJ5%cL6^Ie&}<0+gZMF5`qs_;-I`J1N!l5z zqjm@J3#{ic*mgB3T}m?}OYyN%$Cl@MYrea0)6(75d49STwOCt6Pe|+-oSDB8jtCx| z*k@*{F+R%A`CF07&LRH!pUE*Nkd4w}4Q2Jkyl5js7|l&#lJ}Qszh(u`jo%y}E^3$P zNY@&gDm0!m$jnGwv7>u3K5vHQ9`0>%%{}XFzr32aU|fwCAC!vdUt=NgGOjQy_>G>j zo3|a6OY@T)eANq_*zHwOv~bO7P@&b;h224f;=yRl+Igf+)jQd)$P4}7`@{Mo^#(w)l60V^BvK>Uz)IZ6Amia!o|6C zK++{TQmDtZk^`9^U!-T7=**(A57ZQmO!u%%ur!%}J+e0teuMJba7k1UVOoYAYMU#p zrTXdwSnt zUDYA8+(8Q1eL-m9faIF$V_lf#M@%@d4yi+5i!7*vXSrK_C8rYJtJEkO_+?o}4u<6j zWGOaPdl9w!qNGMaNq?YT>-KJFw{8-q;I-l>=4DIK4@{2zhL7uCAsZRYFJp3KRyzpe zHvwPi!(frs)?;|JE3yONxL{$_#z9Y5q)|oH6VPH=!E2qHb1?cRKGJA}Or~RRldZ3->kWK3Q)26Z8zwIIM#US9O&vX ze{}Y0$v&iiOF5{)RNxcK-lDe=3t7zxnxS7$&f*U){5bj3#)msC1EjM)Nq7q!)Kfat zRsy|cL%}J@yYtwDl)L}_cj7nL+1c@#tEKt+ zxc6dS+T|ml-;fsvwXg!iyPnw)>xa9nk}{VKj7OW@5BoMUnM}$?>0xJgPjzvr8+YOW z46{F98<1YuwbaKhn6K?HU6!6s2h=08r0lz${)I1x$%@~~C+{8$r*g2ABUBeWR%5i7 z^>IIgpQjENAq41y&OS#EcNn6aPND|(xq_P&m$2(kBq&6#0NWov53+B$kgzU*Kkz+% zZRT3j%L-}dl}yJ1XaE7;`T!=|E2TmkQ{95PMDT=5A#QG|Ck}=}FjHF97FqUU3l6up zQFz3RrV&TX(n__wfA@P8P;bgiQ5$xjTS{=-LBj;Iq{_Sea|F6D3^vqO=a+l3Rv!5V zZKZP2W=4&X+9KmukDGOSP4)}5^=L1Qla3P>9?0OB(9;v|Kw|5osMwGCCh_?uDPKNO znK#6SO(|p~|3trGB2q>x##cT$x2_k-LiB^Dxv}|gYTScTZj+3_Tl;ff`7ov`4B2bJ za$d2{0Gx$m^q)o|G~VSe5-ghUMy;PB#}w&V@A3|2p;G6~Ek zizGKv`$>MY@ZG|ROF6p;0|FLodP=|D8tCMJX((+?kAc^PJV=j-3sk~jaKR4%2gknJ zcwkbo>LNg}W1Tf!8xeP1=3lj4L?~nj^;l;JvLanC1pl_Y#gW^eqZ6Yt)`m$+O^lHx z?Zlo8x$rr2chnW=Hc$X8qdsrZeG%w#^9@Gr(F~&FlAdtjV2Yh|k&e=@q>rC*25v1ZawKst=%!rs}Evi#ufzWz6 zxfV1W?b8Qj3VTeJ(Ta*QVXO9JBluMDaJ`V_S0|NF@o}B_CLu%l>}#%il&-Z=1eQVO z->#kuqPjPvSJ=aLy~*Nu;`%gOghp&CE z5t5OvZ8IzN`tch)b`8NytA5xdx~q%t*yGA2LI?~tt3PkoX}lNqp?);?Dk&sSrs~2V z(dgn8g2pO6!*C(^o34x{VW49a*cOE<_g0?TGsC^(Nlu*eC5 zkn{D7XF!*B7BKwMi5zlXOJ5CCe4`gKxna}AXq9>{TYwe$tH<6O6+^%CH3ou~uvZ2i z%r1BW*=Qv9G2{el$r|Qsa%d59!s(DZ=+uD-c28Fm99hoPC8Ci76GbU0^j?vWvN5(NtE(BV@2353( z4hsc5&+LXjaRdaSU#3GGv)}QDb#t7L&1+xXhxG`WuD!%LV~D$dm-CjHHDf7LBi6X^ zG%2|Ab|x1h8Cl&b3jPi!y0rYBcKn7tIpBL^O2*yM=#$m!-84j*htvDB=U^Q)h+i~A zDLCmIS`c@h&l)?Qc!NYWZ)w%wy=%`JNBi#IOy_9Ja)x9~*be*0T{k4u;&d)l*Yl@X zXS$ck4Odj;FI<)9;2l3nlUT5qC*TIIS{W({>_Kxszr$@JdqMu9QgZ}lzt2WrAcIe^ zQfhZxIPA42F3G4u-jH}x}H+OIRLg2Xh|H-ecwdl*Mo(HjkoVZa8Ez!Yq+0bM=2 z-;O@+J_5Ay)Da;OPM^pcx=LlAR>|eG2K0(?)K}al4~ZHp+amz zfqb_=i)zenxY{l|tuSNlLe|3Rn$4l2u7Ehhs90G#*T+j}^F5k17; zscQq&p2k+oOTWUp=b&3TK1BFJH)KL2ue8E90ev*iaLmor|(60fN_n9ppcx(YY+UA{ z6cUQ)0J#KcT6bP4CQfBjx6=M>r=0&Gc#35|th--x#m@Kw-~}A(@DxOuxd<8{08~Q^ zG));qFKliKAT5<;ZXDQ!K?qWdhjT*(bE{7jDtH@8vJf?VBEwC|ZSB6jGmD?!;5uJp zS9TSF2>4OFRHPN{5n=D6f`LAN?ZN@5NA}C z=^l$ryW#W=MurtgU;I;$N5&yg@B_Xoj+_YY=_s}}nk(FV8kekc!8W`jle9Yw{b2G$ zhLht+lNHA?TlAFF0eZ^eU0Rl-w3$VuvnP~6X%NNnc!ew4`0u|xBHv{ z7Z85$29DCj9t#tHx86Sg%{i>XTJLs7P@yf7@dH?EVc-@H;3}7t%JA+h;l0yQ?NNJN zEno}ez5~Qu81eiW8P3obE8w*&Q#wojRWF?rj5!Mp_J}Ei+m$@iO2PFo+-|xo7zKwA z7ry*D^?^Mqh?q&2Pk7%_RarYyH0S+kZP-YwJq)AddevO`v7b6^^7lGAH_iFO$8Z|6 zqOv5&#LmTcY7atpLlPf?DSTc>;mV*3(H!Q|$rEBJmc%(IvW8efh}jHAkH5#(i+W;c5%;mnS1lYR*^A7$Er^=waN~DPE`?X^C!9bGS-Z zMuL1}`i8{Ot9|Z%Svv=XUu;U*W{c7tl%~pICG-?7i~8&CQC3eiF$sjqovZV7PZD*& z{)#_%g^zOOUO zkXR#NU}@;5@X|c?)$!x^Qa2ht0~D@6b>Sp;&9f})8inLoEUSV_{x3Aoi<@i`4S5v$ z=pvgBf-w#pB1gtLN>1X)QB+7qf8`KAwkznQ()Z(63=nD4ib029{%F#Gw8T)jzPRRk zQ`#Y<@KAe`y&Z9E;)L`{PXl2kq)w3Bm+8+Gx-YZVx*#)ozgy>M6+~@lpj-=)*5v!O}z2c>Ym#1+T<|R%=CXV02Lg%fRU_}q} zehX2!PTJml^zADR&bw64(v|jc_?5;fruA2gF1MVQ)BFml`a;oN-XV1dkgNw+FT;QT z9K^FK(7PjciB0CEI^+b}cRQqG1x3@}op(pCm=$sH=6lbo>&^G_^MecHcTFi9tamQ- z4<3NIV59u=v4ivuoFu}~jyQlRsjA?_wHXT_M*wiy)G1+5eztpXRn01eaw_+@25Joz zQSuq*O~j-Hr~FH+rMkYjt*uaeM04F6EP=mY!--L|21!o3$}ZIymx~>MiD;~rugm)) zKKho*x2*^)Jz!#N(H&)+9%)x;9-E&yXy1r!1+o4@@r+)i~PRg#zwy>vn6cma@!3_b#PF(~J%z^JBaG z`}q@%nUA$uhgW@S?|tX^g(ZFo8(P9L%3o=JDs|;OY6SrgEM&#jP$t%_Hx@|Ue&$7u zGD?rCdP_6+Fv+yU*uQy}LU=i>Q2n^}m+W6lMWOC(?6F;j{uMrg=B10&3`z?|;Xm7)Z2{NF(vL}PXUv*={Y*x<=+!CVj?<$mAt93W z?`ull7uuox?xL{u-(A~M5pCSMPRBIId?!+QyKwBJ^A$&{IgR+1HSbN#-Cl2gGktG$ zsl@ou@~IxN!m){oIYF1$-;0Zn(v;rU?S1HWO=~4S<_a2dPHTbXzEx+1`f+_*!@z5@ z72?U))z(7na_+ABd!9<@%eBdUI=c3Vk=*LRqQ+OlrY6x2C3=0Lq68b$?67E2zV@K% zw;ny{_b?m(Q%kvxJ>mU~W(Q!Xrs;q_uXGxd>o6A$!;259ZWhn}6fR*$r8U#l(%_Fa z(X1tK90+htT2_iX-}s!8#}VaKF^KgqJFad}qpV>tkcX)foIJ=*y_P3HXSJ5OvZ8cJ zaa46Sl~?rJ!2Lb_tyh~917f?*2V}jAzYh;>Y!n!i`;w~fXr*$@*yOx<)NjF-sIIDD zm6qS$*>34x*Lt3nqWHh-x6{U8;AqqvBFzT;`9fXq3|{2DF`Z%+sqv8J`!Hh3=iOcwJJ|Y}G!ri+560zVB1A z5Wf3b$q3E)i$@=s(T<3suuMs*6$^JJmA`z{@akZ?KAe z>;r|L{IfD%cMjFti*iPx?Xc7XUMu1lE6(IT*+m#*xZjvI{$c} zf@;}chcd~?K)GYkU9gG*3B=R@0z5;bGc;vM{Z^ysbfJ?!BvHUbL4udnsM3fj&b}BH z4`xv0yUinnsZpU8BivCiEMtl*-utl}k$nzZLA=etbe@3GSa$;A?)? zDCfl8EuIwFZLZ&ArvIR3fWq+hZF!DRRN+)Hzrpa5QINqkr%63Gy?%1umF512?OFXb ziV{8TdM!Sb!jb;7Sr_O64@!H^3hTsK-kuy7ybm7@><(8l<1e}%T2>XppS|+&AiW70 zSyEz)OVNnzgBGNB&8;c}tU+mUWxSJ5sIcd3-!&g+vdO}**{ zO3$n%hpxfnB-Ze{t_h`r2@$S_H$)34QnpIEi#O=7c7qW&=$)4Ick0G9OZsY(dvbrg zx8eP$<=jSFJB3|(DK!^#@h4Bl{M%1Q&o*UbiL9y^30IPH%H7SJKSCSx=>nIv?QE4X zr7-;U@d!HpN<*oVhx;CNn98b+}Z=+TLGQOgL$B`2yn*S^vc~ z?ZvN&=C^uOL=Eo1+o?m+=HFI^-c2_wDeCqu*2tW?aL|5SEiWZ|C8~nU1mDj{t(H3< zrovsltv_1$HK3#9Nb`K8 zM0dv8!M0pc+x>^Q%SDRu7fVY%ooxed%z5`+nd+W>YF>U?vbRFGypV;=>^OD%ikTs) zenWy}u%-1o_8B-Omcu3YdGe~o>PNVyE0&sf7iQIUtOJFO|D>Yi=vR2fVc}9>5lp($ zr3Mk}W1cJjdqZnod&&#wb$#%=4hH}uBP19H>+!_vdDQS zcxk42Y?VL3_z1>Io+?Lcc&YEUe)iNZGp{x?%wb05d~Ct+Vn|PIUEcFvX*<00>aoH0 zg86uX6(xFV;bSIq9iiP8g|W1A^QT7Z`R1dYm)m=~Yf1*Htqa9bPK%xPjK8cMAGCv8 zpVIL5X1@DH^{XWO4@wu#=Id%2!;`B@?3}(E&PrIUWyf@dVD)pgp1T*(1adjGEWsw# z3R?t1$+((@Tqd9QW}{OdIr&?n{Zvf*JW7(a7caHwCasiaCc7;#j2H6qS~c__2B*}_ zo0YZh4K?VyrM9MC!&AHKt;8$+=-L&?POZ+ygGya8Osg|)Oj2%5_>O>QES#wcHV{uw zop*JA`MdP}PyW8H3A@6xvw7wv#a_|C zXH~4uw>vyiSr>?mb?!l-3mTR@yZsrLY1|NxEHa*HSV+Q_@_Kr5Dgy=REnpXtg|+m2 zPy22xk8~|WuSn)ReJ(+p@)Ri8m^kB+^2NU5J@E~9ONvTF+6Dym0#aL%*L+GIE)3~k zp{~5BKbE?5$q+tLU-hgqbMm;FN?+G?H&4n6ACx;2FAKt5$+6JvSvh&-x=)aLAF12R zycw1i%v_Iup8Flz7!ukGZq;j3W7lBZ!4BtcaiKDYo>>GfCVXnjGtjysI+1r&bfx`0 zz54V$=Tij*n*ClDiJsMR)r#@B>-(QKb6tDT`}XS(_=lk>nXgk{MKQfcF#68mczp=! zf_|sOc`mw<>e17fPlZz&21ET8(irxMh7)7%Fo7P+vR+%~YZ^0_vw5(bbar3bt@?`@ zr;hhFvK*Cys^8uymmtsD zMU(}Fp7nwuW3A5;rzqS*@N(b6DeXsMmC%xp`~CdSN)>hmMPJH+%AEOQz-Ti-UC0-n z^V$^7k=1@C&Pt-}BrGSl&_7K09slt2s@+KW8d2lUDe2cQIWdt6-;HE!m@g=_PIaIIYeL-f>UnP!84cZIa5yte9OKFiQ3A)$k}G-H2~c@DY?4;1PR2WR>KGj(1sBra6uBCmMQ{9(xz>o%r3D-JUiJGSwyV3B$zl4I1(@67 z9)`hYd!B*i=~&YNumaCMF&LsY5v$v93sqpv$En_$P^`Gel6DV{V#K|Im?4r+ zkMm~cb*h{r1i!U=cKFzrjtd^UNfs_miez-+&+f@7S}H7S=@!iO6Qv{9*OJPm^Y__B zZW+pX0LI8C-l{Kt;*6fhkl*pX-woPzlK8y-80n`5y|3uwdbAI~#ACz+?{vlL&!F0c z+EgBWEjSE>5fN}Kc^%AD`3+G{Jdjy><%lE=%<(CnG^ykWZ9+~j_ekv_O!)i9w5LB0 z%%E+t+Tu*Z19$6uON|p})RFrXPLtd*6!V!pb6_lr*%)FwRQb$y z|8w_-{nt1m6GBmOi3I6jHL!6Q0?NZ$IhdsKaasf3uxpaJZpiXfqf8WRR#DfpEc|q%kt^F@X&!}{ZX|-$Pf+yeK+Ju{9;98*InQ|3PtTv&KU=pr`bRA)A8(S$GWMB*lm0_M6{kRwkLhty =uH zNFl9d3y_SpA`esvhl4Y?-Jz{0^Lis{q7j!MjY6~XzbPhHlTADD*Y@P~N^$HJmU042b3hz0Q+OBtK=G0-dMb0Dh_$XKu3P9@yB&IQ`2aSZnVB zIB7YPbrf{{Hn@`vSmg2fU477%TX)VvUm74~xW>dscz3icND;;pS@=;f==5PJ>lla` z7Fdi`L6;y!A60FmM{u%M!AU|`;V-19!s2&q-)uuXf0NDrz~24Wsa~m7@7|EmAUcPM zf7`)*2wy}snC=PFF)8l;!!rql*#-(lvgcG1$28=F0N20k_8$LBuZh0@{T)h_J#$s| zm_+rW%O)@U6A5!I_&O3|tCPf)&_Clre;x;%o_GKB|HcqQ$k?Ls&oZu4*~Opu3yS6s z!AP#N)Kaz4GJnCiqarix!nCzd1%pLIRmvOh#CFjH^?;CegJU=w@ULjWx=78Pr|mb< z!T;3BsZnTGo<`4d_tgQeLlJ|>+Wf<54l@nduJx6FAR44HwNw=Xs#0O z&jFkdp?Q}Gg*n)N$gAAESI2#}aig_6VW)gE0pTBcL$B1!3ljGK2FUyk&aY)z{kM21 ztc9m$?*m_!|KP&NOMWc-UrJH&urmCONF>;=f1t22-vK1t6=j)jOK7gz2IB)IQlXx{ zrQ13U*>j!H2dKgl#CmdFLaL{GdzkCGQOXh^ZPeCiKV3_9$6M!;Z8_0xd=6ARuSrXs^i28Ko$ zYMU6_P6^i1$bJm4#B2D3GW(8*El( z0Gl{77zP*9`T@?D=+*zNq)5@hPb6!0rduLu8wKFBJ_<%;7+z|8XYiI!S!NJw3%mFY zt#T`7!jnZr`tha_cgZ5|N(A1W@O zAuPUwidJiZ51{@Xbni19tPP`p80RQu2z;ww7hnjdory%+7JH($Ym5_IgDV92wT*Ob zT%~3mlx6FFwQa%MojK{?mGKG~?ry}|4jvuBs2+FzRILp~b~ z?$zHJ+&Ubn!T+J4C_)45miT5V{`t=r{lC&}Cr&CGq&I@vs7A}}n4h~!-w~Ja1bp1? zypB9z4}6y}cEn=`1w|&$ZT^KPt=WX#YNQ4jc5r*uxnGLKgcE3VxYonAP zc$W(ukjnxp!~>=qG(^I8Oo+_?p9};Peh4Dsk8dx+Hurfmiv55)|1PfM-oPz&(k=n@ z4mw`{Z*WI3SOBb;!1#9w{I_@zhKb?Kg&O5g^hA6m2efRWt6$#=gn>FoFz|PmK+UZ2 zXBmuf%_#zkAnwXc(Vz4%q~b%gryy~CzZJUW(q)AfQBbMk1!uN`ce>7pdhX&WI|6hH zaQ5im0b@Tfy}Rlp36S(X*N3+HC)n0~=L`w^WDTkF^MA-7M{{!jp}&&ao#X-QpPOta z6TnRUuRwEab7l4)(<7wP-@NE`=k<+$r2zux=fFwA!`qs62VzdH_{V5?HO*he@uoJG zZMi+2BX!BcEk81`pSU!*$>x*!54jcbJ$3ug@mH3yUrSK)WCfw~Z+bGw9il3*?&_SnF6q z7f5V_1roh|KHJsrZE?Vf3?-AMvO92fXXuuX^N26#O!@6BycG#t^!6`z1A)9FY@3Is z92hpP?=&?u%CNcS|6zTATn3cAhUEI45*_#PrxXRsNb^tCfcV%CT5ed~R1(s`H^K1= zeDgy_LJ)!)jI0xvx7c_Sk@)W#9gr8$a6)Ql=$3CL5GZYsCZGY^(T*Z-rvKUOkM^G4 zN(ThM(US(-=6;cDK<|mR`@7!532H4k=)H4JMFhe5a<&-@9HAqg=Lf@-N4kz}&up99 zF&9WJL_&`2c-8I658P-jYANn>400rY>nn^@NCOGf zlDzd>D3(K6{D^Hwe~Cl^t61s)^DnnrgYK4;z~+uu>1A8&G&Euqy+DI1%ec1xrE_3* zU@iad2#{VhJlnW$N9h-e*qBdW0Qs>T=E44Ly`T#acBIH8u zWuJZ8|Mai(R5*xL2HyY#)E`g&TSXMWnd?LA(NuO;f17@|Z?R=2w;TZm>%Y$SH6j$J z2Rqck`~wDs?v`%C$X%5E=Q9jK!I5RdM-BpI{D+{Qhw9!f=IZcY&fi`$80gHcFrXjW*$mRpJl<8+EwsvB`7xxuEXSW zdyge{o5TepkSc@}XT#qm^M|^AR3!%-ApQvej;RZ5(ZdE?A;{39TRb~uCg%+Xxb>R= zL$clpeeVF$4zwNzY;TKCWN{)0B)JGla;nG z1?(TFJ!O2tB4joXZF*2_p;D`n5GhI&vrC1jS)@|9 z^3-O@rep|_ibWz)dK!GO(w0bt%Iw-&DK#6BRKD*!HFM9oobma6fBrD%p7TD>?}yj> zea^jsX^A_-s`Rs&w>T<2vt~IQSFYU&K>o0=(yU6&D&(J4R5nJ*JRq>SD?#%%rT%;Y zLBiv+CTL4fiL|$oq2J6{Ct8GH4)a*&){Tr5Z*hvf&c-X@tZZH3bE|?sp3k^BUwygb zZR8V@2k%aR{!@fDDEye9pZM>Hnwp;yASn0^X?#-ta?R@we*(8(QO=Z|p*-cw*yArb zHL9X~j5o)~Qvk;ONH3LLVkGIC7@b>*aepTj?Q*T)EHJcit~rz8H}2EOfSfSyf!ES2 zVENZ$W?lAe&yvn|j?Hc z=TAeRBP44dA~mUO z$62*c9g&>Vj|K>&=}L{qlzhff@%x#N)PdJp^YKNHMAof)c8LfcTlA4|_m){*Luhe? zVDIaz$oJPMr_nkB=`Q7H=&7AAGa`MXv3evMlG4H(^VPo)!20jKm@Ma6`icHmx#CS9 z%6q1CCf~)Z?~v;pY#>#m8JB(9KYOrTE zfIH?G!Wp09k#+&1$v&enp-~jVugC|D?H~n^l-7_B7l$WCKXKK@)gw|n@K+G}PH}cM!M6GQ+Mb4PPgdV7A+fD9!r=AmH9zSrx8lAjqKOPE}?7?Y#!wzFycP z_@i4&mhP_mYo~5ZvunS+q436w4Rd}K|9ji!;xuMd@lh;$NH3YbuIJzpr@_3ZBl*Nt zcKcPVvY7Y(Ra={PW#>)(F#T>M-jVuL+ekzay8IFn{uOHRF1C-lsn1m@ik%UT6=$}O zx&`6r9OY^%$~u4P+FdT{;vu{cogR3B@~PaxhQm z(zdmWuERWb*$Mt%m<(w-AN#>531d&`d^_Zse(vSH_5{ltlFAm*90(s;MH|bIsp_0J%f9R3{Qke=J#6zYb{n{ldcDIYVcjw#U z455(`zt9>;Bz@nnMRcFV?daNSlyL{gcJ7*VS6e#Ltu<0n!6}mNFtdEfUF*W&Npb>)r4Zc0(n@I@Xt^p}&doIRp#JoBvd4 zMc7h#$^!IM{6jr7S33F0+M$7~*(`Z8b^2ii<1Zjnf#Zt5=OUsm!Mijv>J7SF5> zNr27y&hR{Tav({#+}pCrU(o<;w0+BxMGt+|)3h)rYVf0m5|)Sx-7&2?W>>OOEK}|> zfA&K%f@6ZR&mQBOSSn{Pa;#yt?yYVc5=>*5Z=DssiIFGUQ3_%H3!pGb+<}Y$-t@P{ z4&QW_>xYHEFnfrM3L~eaVYi(bQ!sTnx;-dOx!-tv97v%@1*1&gS+M#d%??*zKrB3P zu;;jE!`i1dn<%TsUFge22|x4sW>3qSrgvy>H1tO%s;t8#+TsH=53UWMQTfFPC=tDG zuMI09cp>GNc#J=;Oc{RQl+w#UZ~b5;aH?X1b2v%MLc5YdrDQv_#WXG5iP(DzpPxQ$ zg@wRrAMu{lv?Bw0ph{fy6YrzFnyh{i5OV(`lt~OLMJ=O+Aw=Zy3=S^r=epUuA zrXnODu*-O$h!M-oLwJgjbS-4!*_14tyY^Wmor zb>{Ny?7U~#1<%GhU>}6jU|9-6Ik#Kb@;Pqubvfwub9jeReAr@nDkJ(&?QLopM;B@H zjLHx)`)`X(w2~3X1IA?AClKg|2_QWf+gktHdlK7>L<3m+vbZ)JF$Zj^JT>)hLHOzO z!{_p%1JQ+{=XHS=1$j_}tH$X`3`91@wn4H!!v$fX&>fp_?R0F68TJQDWaF<)kek{u zW_ulxii&=iU&)qEX|M}N!6hY|!%&{MA#j9Y}zr^r*Vb>L!zypLigV)n?V~YSB61S>4;l zD9ERi%qC$g9mGL{=hM`u!#eF1uTqX05+iQyL}A%>&=su(8#1?`G}OpDYf+*gtNtdd zEr`%WN7u}^H{jQ`$z1g&eV&1GHUqW5MHT*4h4v=XH%;4$K%(-Z=uGe$I1XQA^*SYv zgR>$Y%nWS=NlWH}E6mJXoVnQz$w!mYv-6Oc`bBZ~ z<(S)P>6qt%aD~VVc7Lg^$#=-;6-~&0A2u7=JQm@q0wE}$XSXIa3~^bIGDud;vI0K* zPZ7%^c== zTwqKPs-rOy;aHcGj7eSh2FpesS{_G_0|SrbV95+q+=W33GX|22PQs?1OV%_^%N~T( zK$9)*nZ2Fn@K$(pyC4=1lu`Me46_cdnQ&9P*WI#L~yCIXJPffUz|<*)Aj zsSk%xP+MFZ)Jj~`t6NE1o_d^Pc#zr|y5!|iv2y>nq8QLpcJ;XDi;P8hULHhQQNwvR zj3p6XTQ^t;(Xn?1Do~TQi~1CjDo8!MZfN`=Ope*sDQaU30P|*TTNMxoN>yxSD(nSt zx;BPRkRGJ@ay4{EC0<78(Ihv}hLlMLGS1T{hzFr4UpPU~pSPZ<76943ExWQC)()wJ zCM6rhk9(`{v6y$UBXfWr zI{;xX4sC2vxX;NEdW$;l4Y>Sn$#IF+FqU}9Ox#tCi@&PT(Y$Xcq7|ye4}Of0*6l~; z2=yC3ymc)v8@dg-?k+hH^N_lwy{&d3+depRhFdZQ9u(K*4MfHmbgoHf)o6iJ1MXJK zl1AvQT=smL&v69OJdgf#1Bc}d8Q8KZc+Ot7Cuvpb>yy=wi)Teh;*o8G_j@0gU6Z_s z3KtczjY?BW(-L+TKTJYS9+;-$&n;A+;lI->37Hn<&mppSvU0aDN9Maf9>E**4BXC0 zEnE(FGqzQmgmA)A&SL8%k5(Vk^Q+wN5CE33w~0QDv#Z1>BHrdgOojOE~ zGhJ`qY94AEGHNE9EfaxtwBC;rQbq8|xwLvW&EE^&Zhx}X;}N2AtUZIHAcD@;hm_6Z z3GRCW_Qp>Zy0H0423ldWaJH$qKl`-}x*7k;>9aF;9=;?Q=b!x3xV1F-?N+O`TgRG} z1s44^?apvEqDddX*GJM=dc3ORRow;u4&S@im-c(z^w%Hn^0u_Uy|wP`?v}hbGd>`` zmX6l#Ez7;$H<-09>qyUg{c2BI=!c^Bn|}9lFSQM;uK(!B4qQif>5Q4r7QcRWXw?sf zY&P7wO)(rP-BRim=VHB~JsdCebu;@*7hm)`Nb>2}^v3J#A!t^~aK?#;whH zRqxBTraW&KWyiYIA}(3zX=}A9*{LRGtMU7w@#l7S>-W^R-9GjP+oSc3x8o$oZw$Se z#O6WDOZ?thv;60NtOQGv4T_F-7}l@gG+IyhL(#FsDq6!9@V7Wv5{Jur4?d#b$KPxE zhxyaC$Un=%xjU)h2%`_hH4vSUGqHP;rKr82pkx$VFJoI%#i|Jcp(f_mOEN2#`K<5#C4U;tUYw?c9Y^v=a7lPb|Og|FUeH?z!L0J^HhPm6F+m6g3^m4Pu%E_~3 zfe(IQhXW~#nOXBo8)MKT7}@tY6HAxBX|ws}d$yY7>M2BsAb;QM2Lr}k7>G1NZyDfOY2sj1{?^Krwr6A9Ug|Qt<=#OnJDrlv}*1O~E zjQc6RC<~hiMhoumcHesuVF&n<>!#Yib=9;Nd0X64^$f$ua4^I7P?&`C$YsR2aVm31Vy zV(jzbNvL%gxrXKBI^xdxQ<@&m$^kJIs)~)Q1v^lHp>rmR|H38j_EvO4w0Y(}WTg_I zN8o|-Tue2KLY^QRQFJhmBL*4g3+gY#An-zJvbE4!Icz2&nr>)$|8;i|D)jDvs1L5f zg~sCdO^8SbErZSEfPe#=L!O<Oh7?q_8AY2)2B4& zv?6^_)W@cq?Fmg*+F%` z*y6gc|3nVgNv>99HlCWn_6c8A?tZoU;!{U`wVSy}HYHh{wf@cA{YX~J!r+O4E)fzN z_TUUk@9*8H`9$%Dni%Sj&c`w<@xTy#oq8G?W}4@EEIWpeG)+-s!oyEA`Ujqz;fC-@ z<9?hdY1KBQRO*470f{T`;xBDyDtpi@0Ly_xJmZ*8>A z207=jp1|c>HSyyH`&9@^mW*dqM)X6>Ws_LFSw}xbHdiz$M*I3nBm*W;AOBBZb{@1L z=+=UQf^ZZ3YYs&vjf1>uqBROPu@II@Epb-Aw{`oCq!466l=N;*mC5RPb?B>1K^cax zuf=F@b6?7K1uwswn*YK+ODW#`W0jynN{9KoBfUVt?r!Ui;-c8d^fm;@%Fg~?kbf!M z%YC&k+B;qJsBuu=9^JRJbi8#lekN@|7D=n@j<0Xpm96P(5UGHBL5^9!Puz6(#qLJ` z;bHIc5ZmhKzkIjQ{b1hCN#a%evE4paTbGy=dr;CE*$y9l&Rt~RFW)?goeS;do_qXp zyVoBz_^Vg46Q>X^68c;9N?qU+__1Ir#wMbzC>#`RhOIq5aA_=pouQ|saLvG2wnw4+ zqi!=6I;(GvxSEY=OIZ)}z&Qs1))p@p6?YDPgTje`t%m8eI#t-Z1YoH&t+#9Fs z&Cm__4?EdTI<^NWk^YITteg08-XPq=q6YI(V-AdarTX6|vm)XHwfZz;ZLM#vo6UA+ z6P%q6ChNnHmx!vTXrCvIe)H|>TSHmO7TvYk=@2_B&%ky-auvmw@dlA)gIv_n9fsKa zqL4DR5(N9k>nC>uNz4`hj7bdJ7nN}shCWy`pLkVIIF_U9k;)?XBXF-`avcuuSOUr7 z$-PqbaW%-6QuTTOEI9C;Emno@zBe^9yJ~qN3ILel5^T}g`qak<2~@SNEwGn4et!p{ zp=-aZp2XV%#fu;8Ua6c1EV)DYufs=dO|dOE%T?Hk$?0&ZQj!* z5LrXcT_rJM6e9q2iwE3P88#9^XGm2n35N(xPXIT*>ii>&^0FG!$0%O`Mj2LpHUYW{ z`Au0jHU_`51qJk1>8F50)ZQ&XMM_x%(An6h30N%9Z4iE~QQk%hkF)OoPhZr;b;EQ%ZN+X8MbAD zo=egZ-Geo<<f>c#|;wz{mp^w5MApStC7l+HF2?9Is^s@F_r$Mr_hbSwCnEi!wh^*Mu zjQ^yrgV~o<>+1)rm85t=;x=qOu)y`Vh!OfQp@P#`?UTL5>-Ga!DPJ^ASzqXu#JV5y z+z}~J{FTJ3BXCYV1+L1#t(`xVZQuzy2W$$SrF@c9sl1rvC%~OmWj%PUX|&nZ@v(d) z2TjsTekB(5hN}yU4km6kggyPe!0;Yv*FIhe)W}-9e73eAIIQiXaoI4<$o>@Ls;vj6fFNzr=vF_Rltz zbnE3v-29BiQGOzQfs;SZ(QG$Hm&o$kkmSJA3l2RbK7WU;fTzw*rpE|GDV9fwd}|b` zV>4WDrL(#LClaD;h@L%3Kg_;eN{&|CiwmF|S39ely)Jhn&*TA-HRz`=UDVCe{>31( zvVTBE?v*`WxTrgz@B%3YOOaq`NLveJ8N#2eumbi$bXc6$!^yteVblV$#qv~z>jC~D z@vA^iw(_y)92Kak$LkqlD7WQMGPWIL3nf((cnO{OBkb)JJu*;XYg^wm}JJ0bpL{n)V5`amp zHzVEw855QabV<^TDwq?MQ-)pum7Y&JnI%6g;9PWE+GVn(Wn^yl=Vp zh>^X#B7`~HkY2H5=op8iJ;%AI2ec})>9g+#VonqMEl;P9l`9d2DoyvUc{Em8L!L-o z@vrd=GU{F$rPJFML34OzN(Hm3-b$4f%^vnWs2{co@tLu1W&V1#J@0AT=HQWcmL_8X zGHEtjo@zKVhgVQgHI9L<-NvA&4; zM6(OlxXjXS-@2%G%q6)8Mlq*`jdxLR{tWJrcPw@GBAfV1>c*sw=Svjxp_e#308v!S+e`vOvA;c}V7hZgmh>gz8ENkT zUi=(h+{>P<$S6AK{1xqd#2u-UKqNPZlDg5s%~*U*K_Hq6(kPE*UU2((;Ipn^)gqM= z7eVa%%eLzJBTz#mCBb zA9jss0X=@0Brq{s(twT#O&@zCpiKqwHfSE2ezyS3e0>hCmso-z*W_;bM8*)E0TWMF zq>NkDDHMvok9lJy&)@-c$cOC%M`SnxyQ z*Bq>(97C$-@E(AEv>aS-<3>YCLB9g8Rr!P`Bm&qUVyVbpp-}KzollbCDoyA1NJ|jmHR--OF4*<0RU* zCntd1>g^#i-iY)Clq>lbvys{QEh%a0(8fRCD7(TFbnFsGqP=lDB=$?4$Fp=DbLKc+ zjeQDDGExKHzmu;5HGs*CtKF`e08Xmwtw?}(QBgPGiRTtk;~Pkz&e~!<6>uPa9&s{d zlaHuByKqA9)A19;MZa+h~yw>-DX+hYC9fol)ap?ODNl8v`#B~4kGy=9&%wjm&^S44(8>_n){v~5^tK&RrP9OXY^Ou z5}Zide{i1{p|CsI6DDyxrDMod3R!5F` z%29`d_ZSCr5>4oNxz0$N?qsf*CN>0kkYhiWN*ivz;<;m$w{>Vs3RsfAFJ4+ovQup? zQOgZAoRT!XYc38`ROS4Z`;G1e6r5beBR%`kq%dm$(FQ~XYw$*24ZXjos4D->CsJVeOH7OqyuMrWT(|f>h5KE=! z0e^UV-y_F$!KFd(>MDjL|IL^=yvL$ha`X8w2?t1~fpe0my$!ixjI}{|tN^{ANOnJd zRTW{)Cch*UWUv`ly^y3qB}>6mpU2aiyp=1Lis6O8z#*uwg1L=L1oUUTd6|zx)61^Q z7WCG{Em>C&^JR-a(U2YE&0Z_Xo-GN!QkJZl?L+|bu#IPYK4@QGewJ*)PsmLIyyFo= z`~ZyXy1VY_JphTwzEb*Uw<&3e%HEyOfOD^`;8D>`b;nqW?u zhmWdoyUIu^xLJ?1uNREx#MamjT9U760$@HQCY!`iSi|v&nj@B=uR5?TKuVYe?l7S8 zJz1pn(JJg^6V>q5FrwEbF$&lw)gvxJ;Ka{_s+40;$??Q4Wv;5#y>L$=z*A2$JbgJ% z;!IY5!-%jjBSC&ZV9P+Z&;DyE5O<&X!0H4UK|Hk@ta)wdwof&L`J>Gzx^RhPs#yHv zZy?UW=icNauTIIkqzyJKJKeQgvgD9#L(gEJC&`+H=a)X_%D(8R9w5dpJS5rb(>{9D zaeh#C!lO~#!Ato?%Ti7#tbW^C*Qx`+^Ual9I@wO~ds&w-xq|baHB0L3V4GexRonM7og<4XC#7EB(l4`d1$$Lp&p!i;ol|4{{9z z5OlrOPm#g-6=pGpbR;PlO&Nn8Q_(!*N-;LyS|EC$$7x#eNPCtVP#{17M7OPFPNiNs zF@8^_9}%lKcxV{sU_Op0f99qzxlp&`{L^mSZBmTyxI@#QHv^lATrb@P3%H3q_yRea zkb1Z`l5w>G^`!%d`MMU{)pw5ElNGs>tngT_e07HPWWiDb1{CjJtOgOgI&YJ1cc z9~RtaXk4(>U7?y^&D@(h3a`(IISr{vJ|J;Wkjvz-;jq!d1*39Icd-sXc7c@3Eva4n3mG8*+Z9JoN ze2293h495Eptx%s5+jF~I+9)5*Jpi2;0CJPSH&uMfhyp9BM+IeKd_qK_=th<|fHi#p=3`IS13mA!Ka2ee$QBfTOeto(7elxV{}nfOXsoGuVOeUQSH(=vK`_@Y<$Gb+{{mn%LKXl3 literal 0 HcmV?d00001 diff --git a/data/maps/meta_0.json b/data/maps/meta_0.json new file mode 100644 index 0000000..01ab078 --- /dev/null +++ b/data/maps/meta_0.json @@ -0,0 +1 @@ +{"pixel_ratio": 1.574668658056015, "calibrated": true, "origin": [1193, 1031], "grid_size": 50, "show_grid": true} \ No newline at end of file diff --git a/data/maps/meta_1.json b/data/maps/meta_1.json new file mode 100644 index 0000000..f29b188 --- /dev/null +++ b/data/maps/meta_1.json @@ -0,0 +1 @@ +{"pixel_ratio": 1.5919341046277666, "calibrated": true, "origin": [1251, 1143], "grid_size": 50} \ No newline at end of file diff --git a/data/model/model.joblib b/data/model/model.joblib new file mode 100644 index 0000000000000000000000000000000000000000..910703abaf4c6f37ae0bc52841b129df48bbefe3 GIT binary patch literal 3087 zcmeHJTW=dh6ka=VoDd}>Y99g-h&w4#-S`$It3IUl22i&$P(^BKizZ`xoLREowf2(K zNR`5+kV^A_)G<&LE*dFcp#Pu4?lW)NB`EwP$P}GYr z>Xp217<#b++#y|QZCF>)H#UZKhF)48)s^$3y3*>Xt~|o6=tl9FbLC+joEx!G(JSYV zIae6gLA)beh+~8cx{-Lnh9Q}lbSUK5vTga&(Y5`k3?jP|XI+{ZF}{Pj2O+!1tZg3n zQcN~1KcG$>$~4hpfoIjFm||hwwi=8&Ajc)E+f6B+^mlAVJtyZNyXJa+j?``H`&QGc z)4+1!{7JK_HY>d?sO}wk>TQV~G3}5(86BDMXu}G9Srt>%-gZ4J;4LY}X&AU*8>}^n zZ@tB&`8a=+FN&GiMbf4oZ6PbwmS$Q^IOI*Y2G4wfKO$x!2aE=x$9!TrM4EGA+6{wt z82F^nAo8}DjJ$?zDNX>}8$C38%q&dO@Fdf`|2 zMSrFi$eMVF+P1q#S}od^2VybyGqOggZEZU(<^-hH378LohP4@__kY*|DM0r^)C`&? z(xfB#nYbFfz{`BaoVq3XDqrI|KMNkM4m{%PqyF&o2fTuY#?eUct^EaU;qULR-McYQ z6AP@_Wc9$>W#o6YCeS`&eq>WZQ%pn42Y8yh4ajrN3j^%tNPA@@Saa_EM7YgF0sb`H zOq5ei`}~2X{RBAdttcn)DLh{Rd<1w0a2N0;;A;TxDLy_Yc}hm!Cg4NBdjRBr1sLWZ zf=+RgtKy@reSid@&3gdk;EG6ck}{sT2)F~-0w7=QV;stVJg4-@75!WQpnZ%3{ZaeK z{UY(K^vM;^+knpi7{A)P5Aq>E*~j;*z2u5|%>O5VBp+i&J_6;B0ZE>cF>dr5&mmvM zukw%QlrM^tT+zQ>0Om^B$NHg7`Jnrw>T?)UK5eya7(&>+(wq_*5_pWkP@5yYK}&X- z=SO2Tlh2iNc^THk^o`b(u- z?8VP7-juw`7x^pvRsPz@%LjLK@ba-}-l+OxeUf=svZ_D!(Z7HHx^?CM>yV$TRep_M z4{K(M)80h=N6E|{o6IQQ^>^dkZFLQ8>mKCr8+iWS(4P1fR@l>iHngMchNit7KkskC z-VerK%X2m{3kP|gP84x)-~K4ym}k5%nD_tZ&7ddozGKc1DE~+EW_Qr9*?zxncB_(Qgr}A)cqT-t?521ItpsUq~wsry4m4T{K3kB`1lTBth$F}@& z*C3sA2ntte-?{;T%7;*ec&pTZ0O0h3}8I19;^=aIha`yshGlH&M)#%za)}>V!b6e`}k*V)6K7crqqS50~ zOua6qX@1D!kawjx%95_jdyIO>XDREteJNgwwp>O-ujMIi#}A_x>AEzEc%OG^%zc!9 z*0S?MV{(Mqy(3S3Ayq{*J#wI|9GMSkk0+6|#Zl@G{E){mlwyu1v5&UVTAxJxb0)2m z@H{MwW0{L2pdlS9tx6!Rs+jl4XTF1bSc2!oal8XY<0NDe;U1CJf@u0l93*i>)_O$V z7LC+vJeJ}FD!SZhdC4#sk$`tGM9hq>w&%l;j;@6?2#O&zqQpt{rKqJ^Qq;X3Rk9eT zs6{}r=&i~v5rww(h<*4 z*Y$VEa7Y8WFP1YuQ)`5}eBce47ZYa`vj_uCoMTG;;Hh8@j4!2yplPB?MiSo2G68GQ zfw!&NEeRWN26Q-!-fT?0fpcYF;KDu_%19$OFnRN1m+|+x4@<1yXWf`@GxDEY5-bm~ zSUQxL^d^>ctfay3;XOKG602%W(d(svtc9-&A@vIv{J$a9(vURm-ouRk!Syh@i}+=v zJ4l;I5-FGa1^J&QdnK3S#q~GDmymuyx{CBIQhu&SYMxQ(P@&F%k+ys{}Dj{nZ{j7=EPVc=qu zsq9IsCTb)O8N;SsAd^8twpkdZW23g(>aA120>3c*TZS;Wc|!M(Y99g-i0`II7=K3TsSj;^1=On!s3H~GqRpPY_8d9iS@)6D zNRfh|kV^a3H3(EbgsO@+B>n-Q|3lySU&`#A&pvz+Jn+iN5(m`8RUhxBaM^~mj!;LCj)uzfo6iR*QlCq6>;)r)Pl-cTEFsqLDo zX=mzj+vyffskhkWdsxQ8`(hA-nCFdBp&^NHmUp|9|=8wSHL@JYQ( z#9dyBqQ+yvPobf0nH47-3`b;WbudM&j3KudJ&%sAdvrKVr%>`kGqM-F5LpRcbh=dP zVxGL<14Yp5xjV?m*ycF|a-kbF12hs2b@NtJ+&%hIToW7m37$JI48yqc1fS?jR{~-3 zr>Jea`(!YnLvh5{<2WO4gxXf$889ax<|tr3CK{Sc(tP^l5Ch{Y5fBuG=gCOGn{g$e z4lUT!3wH!;!8uUjJVvuMiv})aV}VOY(3Vb0iG#^6|LZdTCW&E<^?IxmSbL28t(FAg z!B;bf0*hWoNC#3I+%Ddu>4kwrYb5<3laRjhMJlCU>Vp3F z73m(*4w67h^nOJC`^jGFCGzz85anw~-y&@zeT9^qOWPk(`$V2zrM`{y9n$A1-Jg-a zKOvdJ*Qv9#y^LG>mAcYCiC@MgW0JbbZ>8-LUdFhGBy&yt|Af5sDISd?8i%F=NMLeQfX8 z_S9_TT#Lo-Y~sL6dJ$eW;1zfkUW=y)oH1ZS&%@bhT)^x43TX3fq35S4x;}+{?uoK9 z)|8zGnxg!oDHndzlox)*^)uYR6R(HcDEmVjHzxN0R}TajunzCSd+>h7%M7bCFXg1U zaQz>T{}GRVQil)q0^Bg*Cfo{5pD#vlH6QT5XWd6q zBSi{=LMrWB*C0^&5UMKPkoX6H{ttcQe<`zfKKt-R@W3l4k9T%<#xt|?n>imYjQ39{ z(Q_cy`9d%nGQn5CVjkIb9MZF0*CV$_f-m)H!1n3LC$86Jp7;pWS1z{IdP8lzrM7FT zrm2lK+Rn+E=jLT?_44I;nWi>3va(h!D{F3LWvz^DTh$uJ=(Xl$sF(54R@;}3(W}qP zFyD+V=8>^QSteifp$W#z4#hjRY+Jnj`_03s47{`(-@4FCd|_AKJu;tnNK=_ERAdQE|xBSO!w`Xx9pTVepgG?z^59z(DW?8U`-Jea`(!YnLvh5{;y5F3gxXf$889ax<|tr3CK{TH(tP^l5Ch{Y5fBuG=gCOGn{g$e z4lUT!3wH!;!8uUjJVvuMiv})aV}VOY(3VchiG#^6|LZdTCW&E{^?IxmSbL28t(FAg z!B;Ye0*hWjNC#3I+%Ddu>4kwrYb5<3laRjrMJlCU>Vp3F z73m(*4w67h^nOJC`^jGFCGzz85ap{#-y&@zeT9^qOWPk(`$V2zrM`{y9n$A1-Jg-a zKOvdJ*Qv9#y^LG>mAcYCiC@MgW0JbbZ>8-LUdFhGBy&yt|Af5sDISd?8i%F=NMLeQfX8 z_S9_TT#Lo-Y~sL6dI?@O;1zfkUW=y)oH1Zs&%@bhT)^x4GHCN{q35S4x;}+{?uoK9 z)|8zGnxg!oDHndzlox)*^)uYR6R(HcDEmVjHzxN0R}Tajumh7%M7bCFO{UZ zaQz>T{}GRVQil)q0^Bg*Cfo{5pBJOInvefF^c>|&9S`3ZtV?J>!T?`@r|TQ_%{Mmc k_}Q*)sP(2=tKAU%>3P_~Exs5J=VMVmc)?KyJ3JKaZ8 zBSi{=LMrWB*C0^&5UMKPkoX6H{ttcQe<`zfKKt-R@W3l4k9T%<#xt|?n>imYjQ39{ z(Q_cy`9d&qncyp6GLP)qHtAcA)PqMIUnLS2rtnNK=_ERAdQL)L?SO!w`XwM9N(cvelHE=vLfT7?EGz=W{jo$jiH$P!Q ze;%HNHNF^!NL=dCp|r}mLeKM}O+I!E+`}q7!n>U-{?$MXxnpoFQ@Z5RP>2$6P|FG zp#__I;f{bUI0q`6$7r@@(ZGdlEO6-v+R{lmaWMJie_h7kBr&YAexG#%bB~d~)si4Q z_)6wbV9_fG=|F0O)5Ci-yfBbxjieuB64IByNTt+IUGP7qRESbiln0Mu`V-gV=swD? zBHcsUK@v!b-jB$CKiNyYM4nzBqI?zUTcmBIuaJ^+Y5PNJpUBgz)VGknL;5_W`!n+Q zCnR(DI(3$|mvKwKQdin1@yobmOj0-bt+ZXj%NX~NWUh(-pOBY6#iQ}#q|VrcJ{`Ii zHkquR&*yKH|?EGj=>S!1j)9 zPt8WowOH)TCJwx$m*C|NyaKPnYw;9;GaXph^KdpA7x22i4BC8K==mv%u1{f~d!p=& zHD%|4rYOH?%7x!F<%M5y{S5c-#OvWU%Kp&CjmbU0)dK+?Sc7-rJ$OIkWro$6mrBxH zxc-mF|A|&T@T+EtVd`-!T?`@r|TQ_%{Mmc k_}Q+t)K*h%G;Rp~^gL|g7GI19@)XF$TD87eZHln^7ca3qIRF3v literal 0 HcmV?d00001 diff --git a/data/model/model_1770167688.joblib b/data/model/model_1770167688.joblib new file mode 100644 index 0000000000000000000000000000000000000000..a7e8d34c1f73e5a951612b07be0841d5229057fc GIT binary patch literal 2316 zcmeHJ-ESL35I?)|N3jwTwGV*^#5XAtCjJWPsSj;^1=OpKQbj7XMVmc)?KyJ3v+g6Q zks<{_A(i&6YY?b>2vvwTB>sUy{|DaqU&`#A&pvz+Jn+iNw|_rm4-1tgKbb%9>kQSu11PR<*`4daZdG>ScVi)%L|>^y>36 z%r|3;d1P!+mdO`=XoB&wL-CF++ZJ#CcJnYQ1265yw=VP&U)Ys*k4$NwS$zn6!OLCC z52(|@G8G3b@T`vDCt29BtuCVu@^Q&Jc2Dr<{au?;}n+H^g?N;)?6eXD16XkfXh ze_A(^!}jC|t9wtJ`9w%WR2(ujmVp#K+OtmNFc5r!hJlN|(OZxB*2hff z&%)EN#uwud$&h+#K8D+1O!Flc`_34MqCM~ zLkl+b!W{uya28ZJhtX`!qJi_-Sm5Fjw55}B;$ZU2|GJF7PGVSPy&mfX)*d5&t0h5r z@RiJ=z@k?W(t*?lw~O~^dSM{Z8cE;JB&08Yo=T~gy5N6IsSu^4C=VXR^e3*z(S4L( zLAr;ugCvj=y&sVOZnBqpi9Egjgz{CSZ;-Z;zC=pSrS12reIie?8inF=NMLeQfX8 z_S9_TT#Lo-Y~sKRdI?@M;3aq&UWum&ylTL@o`*BhxPaI6Wzgo^LeEc8bbSi@++$^D ztSLJWG)4JEQ_ersl;?iM^;6ux6R(HcDEnO-HzxN0R}KUium!g;d(Nu0f#kAygsWkoX4*{U3Pae<`zfKKt-R@W3l4jdyl-=4NK+H*-E*81J7@ zqUS(t@P%MBWP-1P#XPd>IHYI0u1D^S1YhpcfbG+fPh79dJnXj?=GEHq(v$9q#D{F3LWvz^DTh$uJ=(Xl$sF(54R@;}4(W}qP zFyD+V=8>^QSteifp$W!I4#hjRY+Jnb+pWW>4194nzICA&_`wGB=kqoIv2hu7x6ndT)9rBTD;vUxE8NQ5nz-SP9%qNyZgucSdZWs*1z$f)C z5%+j0iW-jvKZS<2WmcSUFdUJg)xi|8GKSn<@;o}a;nCqRokGbE&B$KxLS!ZQqSK{P z7xUx=A1H!e&)r2n#x~C(kPF?Y8K9AHsGGN%;@;60;=0(-Pw?CYVHn2MC-_7^x)KPJ zKSgcZ-6w+q9f~8q9>*DZBhm-IX*6XoOVC^yTw^|Z} z2Vcz`3M_gVAst9sSEzclnPNwit_MrOn>5f96dn! zHKhAUJ4ga4(fa}U?HduT zg9*tTzDk{??Pc83uhf#^9KO&oYhFTl$NyaKPnnRtr8YX)rSc{m%53wT{$0d2l5^!yY>H>R-9JyCYX znzHjyQDhvdEr-FKgIpq@p`z8vfs6FV{#90?LdG5>+lY|3-4vT%&_bCfT4Jp5j;E};Pl1N;D!g;d(Nu0f#kAygsWkoX4*{U3Pae<`zfKKt-R@W3l4jdyl-=4NK+H*-E*81J7@ zqUS(t@P%MBWP-1P#XPd>IHYI0u1D^S1YhpcfbG+fPh79dJnXj?=GEHq(v$9q#D{F3LWvz^DTh$uJ=(Xl$sF(54R@;}4(W}qP zFyD+V=8>^QSteifp$W!I4#hjRY+Jnb+pWW>4194nzICA&_`wGB=kqoIv2hu7x6ndT)9rBTD;vUxE8NQ5nz-SP9%qNyZgucSdZWs*1z$f)C z5%+j0iW-jvKZS<2WmcSUFdUJg)xi|8GKSn<@;o}a;nCqRokGbE&B$KxLS!ZQqSK{P z7xUx=A1H!e&)r2n#x~C(kPF?Y8K9AHsGGN%;@;60;=0(-Pw?CYVHn2MC-_7^x)KPJ zKSgcZ-6w+q9f~8q9>*DZBhm-IX*6XoOVC^yTw^|Z} z2Vcz`3M_gVAst9sSEzclnPNwit_MrOn>5f96dn! zHKhAUJ4ga4(fa}U?HduT zg9*tTzDk{??Pc83uhf#^9KO&oYhFTl$NyaKPnnRtr8YX)rSc{m%53wT{$0d2l5^!yY>H>R-9JyCYX znzHjyQDhvdEr-FKgIpq@p`z8vfs6FV{#90?LdG5>+lY|3-4vT%&_bCfT4Jp5j;E};Pl1N;DhZDzX1MiJS_kK literal 0 HcmV?d00001 diff --git a/data/model/model_1770196917.joblib b/data/model/model_1770196917.joblib new file mode 100644 index 0000000000000000000000000000000000000000..9baf0cc5199eece838517b5ed21e4fe89091253b GIT binary patch literal 2316 zcmeHJ-ESL35I?)I<6{HcxPv4Zf16VGv}j)@xdu2 zdJe?~UkFAn6MPj+=8-+yCVk6sJaT6w`0{`T?0}AZ;&?sgi4RbH^-^1{H`K-(YP+Ut zn%Zci?VPN+JuhpkSFX&QVc>>=PwG7) z?(tF-H69Co1`REiwscZT98BK)ugmzWB!)HC@3U@T?lbbYS`vf@ zU(Fl}EP5Fs9Y}3(dU%f=FAOAFBk6mYg!GlqQYrOQ7yOSY6{3_B<>8~4{>1epdVun4 zNcWL;kpxnr_dW98PWDnSk*C)mQND)sHPQ~!7f8vuwEZr%Pvq%U>RU+PAbpzB{R#O8 z6OuW6nL10`%ebXqsVnW1_+?x&CaIgeD{YtXGRA!*nQP+z2jrzs@o4-;5B^(wE4Es^HUVvn8H5ySlJzG z%I-r=QGV8xi@$2hbHCvF3GUyD*P|Vj{jQB0lY4+`hXM>(hqvJ!csJu^hSiyua?)J5 z{*TB1h(|xE!}|z>n+Dv1+hND&#ptW%vc_gs*38(pRIPrDUUOE4dKn)rwRQ0rz1pk{ z^Uc^|9vNGdW%5NInqYjvrg+DuWr=rwyKxwmfzR*8w=VPopWBspkIei&Gy4$uf-iJU zKcIF8%Tye&z%x67pJZXjGP{i0$j2q?SUtgC^mi>rJ-cj6>$c(XJW#!r&*V)ptBIfPvt1Gz=W{joy01H$P=U ze;%HNHNF^!NL=dCfwaoGLeKM}O+InjxQA7EhA-hAFdBp&^NDE_p)d2269#S=_@ve) z;tpSkqQ+yvPobe@w##-naEHV-JD4I?#*o_!o=1n*JnFjX6c+rj9oY+Bh^z#kx4Ts8 zVxGL<14Yp5x!cIc*ycF|a-kbF1Jn}^b@OIJ+&TJ6Tovp337$JA48yqm1fS?fR|3)I zPf^Qq_Q_yCU2(+M;y5F3gj#0b9xyu~?P0)tOf+mSO7qE+Lkx^AM?g>%o+m>AZ^o5? z8Z==;FWeTe30t7TIgDm=8V#J!#sU|Qpe3CwBo4-J{?}#nZ4$#O>-AVCF!vbwTP+E~ zgRf)`1s1)8kPf6aI95f9Nk0t z6{NdJJ4ga4(fbMcAI5vBm&nuW1C*~KeTTG-^fgj)E^U8I?Gt%=mHHOa_efu)bbmqq z-k4+#-=xmc_A+kiSL#apBz_r}j7jPy?@HSxyo_-VN#>gP{~3AdQ#>C1k<=NR(5C~} z!X}f|lf7ObfyWp&?J^k;60*lUKN=f_YPngiim=T~w}uGk@yt5FKH|?EGj=@I$M%kG zPfbV8)mZFICl0)%7vNjtdrc{me|3wT3c25q)2^!x-x*Cw#fJyCW> znzD0WQ;HKCk9hQxI(&pMxNg7=xEZ#6UW~qKKK|>_bCfT2Jp5j;E};Pl1N;Ddg?=4Ujg;11FA@cwrI0wuRTZ3cc=SE zYNSX(P)MbH>ly?qA3_!44T*oC(Eouq{+BX)=d%xA1P{D&(s*ZQXKrS8elzF8xzYX! zC4LUXI-d)N9us^8EasD4$00r2b$xPYDELyJhHRe>1LFE!=8F$eedSVHtvA%hn`*nJ zYMR<;qwS2Wd45*bR`=U8%eKW^zuh{F%fJ_QlUo;hiO=oIyGLeWpILnf1HsE( zD+sC6!7|McSm;|F!B4WNV_RKD9psaeb?lztF9y3dqrOvhq_ye#L6vlD8U$9)>d??~ zQUA1Vq=)VC5mxuUIQxl^h^RPZVk`rh_i5LP0%7oz)b6{!6~aL9IU0p7`bKX(5?CKI zp+67L!Wv&pLL?sb=|EZ)JfRo)yhA>6P29sOJj0jp4j2t1p9REnh|rgL#f?HQ3IkH_ z5^;~0J8VHn2MC-}rax)KVL zKSgcZ-6w+q^~4chOX7^Z5o%j~XTY40n8T0-m}q1!O7qE6Kn#qo#z0UMUL->SZzPp~ zI<#O@FWnWe1?NG93mDDTG#a>=j|DCtL0dX0rw+z%{?}#nbsEDe>-AVCwDuVJTP+E~ zgRkTc1s1)6kPf9bxLv$Q(~m-l)>!&}E+KvS^Gr&;%mx2rN~Jg@MS1u*p+9jwjvk== z8q$5F9VCI2>ivNHcjLX(OXb=1CzP)ueS@@(^d(YyE^WWh>{EGmmHIZ)w@9C5bbm(v z!I)$YUuDj+_A+kiSL#apG=3SEj7jRI@5gR{}FlVQ#>C1k=7ZTFrWj^ z#wL^1lf7Odq0bmL?J^k;60*nqARZf~TD4WJiOA%YJ41x?cxD}7AMxjo89P4fV|ypI zr=}z4dLnkG69-<>OYpJ*ufVHtCYd7engQ#25zfZr0$$gbL7Qz0y*NS9jS1`vPn4aJ zrtCb_6y+C9x%fy^UicN)PjUZtvL0@u?00R{7~cb2I}l*N8oUGV!h1O{Q>;$CRMO_c z^?yA6M?3~;9X>!9+%(`8+>XqE&&OZ20RMI91{?g&DKr9pPq#++~$kPK%M}3zE-VoR+}QK{ssRMJTL$N literal 0 HcmV?d00001 diff --git a/data/model/model_1770207359.joblib b/data/model/model_1770207359.joblib new file mode 100644 index 0000000000000000000000000000000000000000..8dd666c27cb02caec98e024ac42364914304497d GIT binary patch literal 2316 zcmeHJ-ESL35I?(d;$kHvY99g-h|iKD)x=*>dg?=4Ujg;11FA@cwrI0wuRTZ3cc=SE zYNSX(P)MbH>ly?qA3_!44T*oC(Eouq{+BX)=d%xA1P{D&(s*ZQXKrS8elzF8xzYX! zC4LUXI-d)N9us^8EasD4$00r2b$xPYDELyJhHRe>1LFE!=8F$eedSVHtvA%hn`*nJ zYMR<;qwS2Wd45*bR`=U8%eKW^zuh{F%fJ_QlUo;hiO=oIyGLeWpILnf1HsE( zD+sC6!7|McSm;|F!B4WNV_RKD9psaeb?lztF9y3dqrOvhq_ye#L6vlD8U$9)>d??~ zQUA1Vq=)VC5mxuUIQxl^h^RPZVk`rh_i5LP0%7oz)b6{!6~aL9IU0p7`bKX(5?CKI zp+67L!Wv&pLL?sb=|EZ)JfRo)yhA>6P29sOJj0jp4j2t1p9REnh|rgL#f?HQ3IkH_ z5^;~0J8VHn2MC-}rax)KVL zKSgcZ-6w+q^~4chOX7^Z5o%j~XTY40n8T0-m}q1!O7qE6Kn#qo#z0UMUL->SZzPp~ zI<#O@FWnWe1?NG93mDDTG#a>=j|DCtL0dX0rw+z%{?}#nbsEDe>-AVCwDuVJTP+E~ zgRkTc1s1)6kPf9bxLv$Q(~m-l)>!&}E+KvS^Gr&;%mx2rN~Jg@MS1u*p+9jwjvk== z8q$5F9VCI2>ivNHcjLX(OXb=1CzP)ueS@@(^d(YyE^WWh>{EGmmHIZ)w@9C5bbm(v z!I)$YUuDj+_A+kiSL#apG=3SEj7jRI@5gR{}FlVQ#>C1k=7ZTFrWj^ z#wL^1lf7Odq0bmL?J^k;60*nqARZf~TD4WJiOA%YJ41x?cxD}7AMxjo89P4fV|ypI zr=}z4dLnkG69-<>OYpJ*ufVHtCYd7engQ#25zfZr0$$gbL7Qz0y*NS9jS1`vPn4aJ zrtCb_6y+C9x%fy^UicN)PjUZtvL0@u?00R{7~cb2I}l*N8oUGV!h1O{Q>;$CRMO_c z^?yA6M?3~;9X>!9+%(`8+>XqE&&OZ20RMI91{?g&CQ#FKRpXuxXl-nfjj~7e63pFtTshd{R{s@JTU+O literal 0 HcmV?d00001 diff --git a/data/model/model_1770207362.joblib b/data/model/model_1770207362.joblib new file mode 100644 index 0000000000000000000000000000000000000000..ff39da23b54260ab2175ba90ebd1d0c521eddcb6 GIT binary patch literal 2316 zcmeHJ-ESL35I?(d;$kHvY99g-h;LG)n)oY9PJL+WE1+I=KozOb7H#(IwdctB?sOkX zjT9*e3aPYjU4ua7L#RT$A@L6Y{U3Pae<`zfKKt-R@W3l4jdyl-=4NK+H*-Fk8y%cd z;^$DT^SN;7F~L{BVm{e(9MZF0*C%&|f-m)H$PVZ*AgNYvR2Nvt!j-E^jfnr)XVv3tL@7t=+$Rs zm~YM&^T^qvESE3(&;;XUhvFSuwk_WL?bcCT2EMSD+`7<9d~Q$PJu(Xi%<4lJ2wv`5 zK}ekrmT7*#Lf`5Lewsxc+v+mvAfJ@1WA_AqKG?Gv^_{9CtxeYts-$DnAh3E?hlZAm z`e$_`J#3GUu)6ofxsQcJM8zQ!V;RW2PrFtW2!o%dcHi}_5C($J(I|A$H+t)l!1{;@ z{aJV#*7#x)BJrqC2hytG3BAbY9rB@T;vQDvDZYevz-SoxEFhLcgucuxZWMY^7?66G zh*I+!9>#*o`fzE6iYeCm1G6v{zl#`c1jVk^NHoGz8R zm?tjj!!WKs#wY&Kl~9=c z32NK!0T~RaCyx1A5@+m8^k+*aj6YU^H9PXy9T#7Px#2ZRw<(IvBtCUzgEWX$-5Z*JGW~+Gpf%wIm1+ zzLGl>So8`)I+WVrcJUrfKMEyUW9fUjg!JXlGAZ>k7yOSYmEx2X<>8}*{>1epdVun4 zNcWL;kpxnz_dW98j`vb8m1oxf1=)AbpzA{R#O8 zW0E<1nK{ea%ebXqsVnW%_+?x&CaIggD{GhXGRA!*nQQ9*2jrzs@o4l%T4!v+fDSwx zn@m(LI%e%D5g@jbw`LjeY?!Q1c-yqohf#p={cC2cNT z|HtEh#AA@w;eCX`O#^Ph?Z^!HeEd}l@Lz{spnR$0l`E+x9-PVK|N3B=!WMQTW#&7 zp~TOD*x(Cn$<4#cwT_+j09gEU`F=wC`4Y+BZ2r3)K@QcG_|QU-_$w{ zP1m(%2W;nLt@HD;j&|kByiC_x^}MXz$je$=d09JW+tKvqF?#KJ8R+GFbhOUpWAxN{ z8RVO@g**Pw&RGme!F!Tmw_+tCbuq(5?|PrcMr_sKCuUsg@RXl zcF3^Xg))_ggavk2@RKC!I(Cm>7x<)PU8gVji{Y+AaNyQlX>EBySVLV0hoRlKyO`M? z=$|&s^sqBIg6iHEXFm}V5mgsWjb$L^0Qc-D6ed53oq-qFj1C1~z!CGnH+bu#(EgYR z<9YflUFS_RuhSUTNWV|I%-$pDZ?!}K z55Af^6j1akK$=Ny>h<6rtsr6&t+Dj|Ttddm=b4oHnG62MluB_*it_MrLVv<~96bQ} zHK6-IJ3s;`)%yYX?81+ zg9*tTzRH|s?Pc83uhf) zr)DGPdLs5_6NkQJl<3PQeTBYC&m>cXzGl)5qe#!j+bmihBU3uYGSU-jR+sS&k4YJ?$adUDH^xA=-CS9lR(0A#3IWIG;&b(C9 z=7RNqJpM;KhG`u>02tgf=`DIYvO->tziJ`;>o5wKFLwj@UXUKb3`Gn+fTz{Ex_Pdy mo~yUE8>-gW)avR@!JnRoExpZ`l7T!0a=B4cH)|~s)&2tgY99g-h&w4#-S`$It3IUl22i&$P(^BKizZ`xoLREowf2(K zNR`5+kV^A_)G<&LE*dFcp#Pu4?lW)NB`EwP$P}GYr z>Xp217<#b++#y|QZCF>)H#UZKhF)48)s^$3y3*>Xt~|o6=tl9FbLC+joEx!G(JSYV zIae6gLA)beh+~8cx{-Lnh9Q}lbSUK5vTga&(Y5`k3?jP|XI+{ZF}{Pj2O+!1tZg3n zQcN~1KcG$>$~4hpfoIjFm||hwwi=8&Ajc)E+f6B+^mlAVJtyZNyXJa+j?``H`&QGc z)4+1!{7JK_HY>d?sO}wk>TQV~G3}5(86BDMXu}G9Srt>%-gZ4J;4LY}X&AU*8>}^n zZ@tB&`8a=+FN&GiMbf4oZ6PbwmS$Q^IOI*Y2G4wfKO$x!2aE=x$9!TrM4EGA+6{wt z82F^nAo8}DjJ$?zDNX>}8$C38%q&dO@Fdf`|2 zMSrFi$eMVF+P1q#S}od^2VybyGqOggZEZU(<^-hH378LohP4@__kY*|DM0r^)C`&? z(xfB#nYbFfz{`BaoVq3XDqrI|KMNkM4m{%PqyF&o2fTuY#?eUct^EaU;qULR-McYQ z6AP@_Wc9$>W#o6YCeS`&eq>WZQ%pn42Y8yh4ajrN3j^%tNPA@@Saa_EM7YgF0sb`H zOq5ei`}~2X{RBAdttcn)DLh{Rd<1w0a2N0;;A;TxDLy_Yc}hm!Cg4NBdjRBr1sLWZ zf=+RgtKy@reSid@&3gdk;EG6ck}{sT2)F~-0w7=QV;stVJg4-@75!WQpnZ%3{ZaeK z{UY(K^vM;^+knpi7{A)P5Aq>E*~j;*z2u5|%>O5VBp+i&J_6;B0ZE>cF>dr5&mmvM zukw%QlrM^tT+zQ>0Om^B$NHg7`Jnrw>T?)UK5eya7(&>+(wq_*5_pWkP@5yYK}&X- z=SO2Tlh2iNc^THk^o`b(u- z?8VP7-juw`7x^pvRsPz@%LjLK@ba-}-l+OxeUf=svZ_D!(Z7HHx^?CM>yV$TRep_M z4{K(M)80h=N6E|{o6IQQ^>^dkZFLQ8>mKCr8+iWS(4P1fR@l>iHngMchNit7KkskC z-VerK%X2m{3kP|gP84x)-~K4ym}k5%nD_tZ&7ddozGKc1DE~+EW_Qr9*?zxc(GDdg?=3Ujg+h168D!HfXc9*V!ZIJL^7@ z8mUtFXi24gK_(TL4EFYSYJ=dSrAYEF$$;F=hK+ z%lBN8uM>GwOaxxTwiJhfXd2b5G0(6ls@JD0)449p+(eiv$#Mx*l8xUWjI(n>32@=H6%Wf?U+cMBhBsEQYhcuhCCHKTa=x1P!P}A77n#}S@we2w%4(eB@k=}c-1QLMGxu6&n zMI=dE@)Kb;c%GN|vOalT@)drPtNavrw9@y8ug3l1XZCm*4W-aX_gnvTK->5{>Daj) z>MLTNH5#nu8QYBfA?F0jNX*4HB^1XLl)i`B+^$2stB&tsRR_{bu|w;#HwKQ~7)Zol z9(y>x-#${5`+zS1k4NAukgWms0XG1s_dVbT0LqY$Je=b=jITj<34pwh0k;9)0g#V- z5g*sXTwEg$?SBsV6oCB5{vaRy9K}cZIsiuj*at*>oJaO?{&)l;`)F$yAOXm^3qTHz zh*4aWq0V{0Ex-l<`H?Qh;qUBYT;>62ALD@jM117l8CXa1!4dUMz&8MlU$l1*=KEcs z|6dO5MLIa5-)I+gkstXVDWBk#keAM|Rx-Zc5T-t1z(A4l2 zNPSYIiRUl|O>&lW8#mczjvKV;bS_)U=A>U0Q&-#2KDxgV(4uukJU61xJ8TpBX-GcY z@9`HxvE6U+{6#&@U#jqz`78X@ux<0#Dtu8-@?$}N=CA9sTpQ{^DLvV{ju(49X13SJ zx)Wt}UsIH)HRa$Qj3+c@^(PpAEh`5PHDz~A>lC{2;ODPNUf~P;ZT=2_H)gDV_xr}i zf_{ea{_o!BPA!VxdwPmruJ9{--LL8iPP@Mt|0ubck;x6>z4}R*!;OxnY}|!hK7jSl znsW3<7-3I&D;y!W%F%~UnBUAmZy%Lkyj%N#=#CAJ|M#nZwO?)b>nqc%FJEMWw@erR z1?Y;NU}C1`z$+Z96Y3G)gLl#+`KA2w@umFnrP5lis1}yhLh-T`PYriAzAmQ2ccfmg O%jB~8c(GDdg?=3Ujg+h168D!HfXc9*V!ZIJL^7@ z8mUtFXi24gK_(TL4EFYSYJ=dSrAYEF$$;F=hK+ z%lBN8uM>GwOaxxTwiJhfXd2b5G0(6ls@JD0)449p+(eiv$#Mx*l8xUWjI(n>32@=H6%Wf?U+cMBhBsEQYhcuhCCHKTa=x1P!P}A77n#}S@we2w%4(eB@k=}c-1QLMGxu6&n zMI=dE@)Kb;c%GN|vOalT@)drPtNavrw9@y8ug3l1XZCm*4W-aX_gnvTK->5{>Daj) z>MLTNH5#nu8QYBfA?F0jNX*4HB^1XLl)i`B+^$2stB&tsRR_{bu|w;#HwKQ~7)Zol z9(y>x-#${5`+zS1k4NAukgWms0XG1s_dVbT0LqY$Je=b=jITj<34pwh0k;9)0g#V- z5g*sXTwEg$?SBsV6oCB5{vaRy9K}cZIsiuj*at*>oJaO?{&)l;`)F$yAOXm^3qTHz zh*4aWq0V{0Ex-l<`H?Qh;qUBYT;>62ALD@jM117l8CXa1!4dUMz&8MlU$l1*=KEcs z|6dO5MLIa5-)I+gkstXVDWBk#keAM|Rx-Zc5T-t1z(A4l2 zNPSYIiRUl|O>&lW8#mczjvKV;bS_)U=A>U0Q&-#2KDxgV(4uukJU61xJ8TpBX-GcY z@9`HxvE6U+{6#&@U#jqz`78X@ux<0#Dtu8-@?$}N=CA9sTpQ{^DLvV{ju(49X13SJ zx)Wt}UsIH)HRa$Qj3+c@^(PpAEh`5PHDz~A>lC{2;ODPNUf~P;ZT=2_H)gDV_xr}i zf_{ea{_o!BPA!VxdwPmruJ9{--LL8iPP@Mt|0ubck;x6>z4}R*!;OxnY}|!hK7jSl znsW3<7-3I&D;y!W%F%~UnBUAmZy%Lkyj%N#=#CAJ|M#nZwO?)b>nqc%FJEMWw@erR z1?Y;NU}C1`z$+Z96Y3G)gLl#+`KA2w@umFnrP5lis1}yh!pdbSo*M3Kd|gb3??}B~ Om&s-G%h{szv%dqvn{bf; literal 0 HcmV?d00001 diff --git a/data/model/model_1770302354.joblib b/data/model/model_1770302354.joblib new file mode 100644 index 0000000000000000000000000000000000000000..aaac1c3d7d6c427625a967253aee1dec556e0ee7 GIT binary patch literal 3231 zcmeHK-ESL35I;M%lO{??)CvV6Q29=g>c(GDdg?=3Ujg+h168D!HfXc9*V!ZIJL^7@ z8mUtFXi24gK_(TL4EFYSYJ=dSrAYEF$$;F=hK+ z%lBN8uM>GwOaxxTwiJhfXd2b5G0(6ls@JD0)449p+(eiv$#Mx*l8xUWjI(n>32@=H6%Wf?U+cMBhBsEQYhcuhCCHKTa=x1P!P}A77n#}S@we2w%4(eB@k=}c-1QLMGxu6&n zMI=dE@)Kb;c%GN|vOalT@)drPtNavrw9@y8ug3l1XZCm*4W-aX_gnvTK->5{>Daj) z>MLTNH5#nu8QYBfA?F0jNX*4HB^1XLl)i`B+^$2stB&tsRR_{bu|w;#HwKQ~7)Zol z9(y>x-#${5`+zS1k4NAukgWms0XG1s_dVbT0LqY$Je=b=jITj<34pwh0k;9)0g#V- z5g*sXTwEg$?SBsV6oCB5{vaRy9K}cZIsiuj*at*>oJaO?{&)l;`)F$yAOXm^3qTHz zh*4aWq0V{0Ex-l<`H?Qh;qUBYT;>62ALD@jM117l8CXa1!4dUMz&8MlU$l1*=KEcs z|6dO5MLIa5-)I+gkstXVDWBk#keAM|Rx-Zc5T-t1z(A4l2 zNPSYIiRUl|O>&lW8#mczjvKV;bS_)U=A>U0Q&-#2KDxgV(4uukJU61xJ8TpBX-GcY z@9`HxvE6U+{6#&@U#jqz`78X@ux<0#Dtu8-@?$}N=CA9sTpQ{^DLvV{ju(49X13SJ zx)Wt}UsIH)HRa$Qj3+c@^(PpAEh`5PHDz~A>lC{2;ODPNUf~P;ZT=2_H)gDV_xr}i zf_{ea{_o!BPA!VxdwPmruJ9{--LL8iPP@Mt|0ubck;x6>z4}R*!;OxnY}|!hK7jSl znsW3<7-3I&D;y!W%F%~UnBUAmZy%Lkyj%N#=#CAJ|M#nZwO?)b>nqc%FJEMWw@erR z1?Y;NU}C1`z$+Z96Y3G)gLl#+`KA2w@umFnrP5lis1}yt4gazfPYriAzAmQ2ccfmg O%jB~8c(GDa_U1`Ujg+h168D!HfXc9*V!ZIJL^7@ z8mUtFXi24gK%HXAd8(BY-o~+35!CE4bzmbA70%H(jdmS!>CI=EmGSUdzg&xGGmK- zt`rk>!}X|DgEVED%yW#I6i1j}GmSc<7RDUS7FWP`BP#BV!){9JIp19MWj9}rflD9 z`JPMibs}$xiNI^vmf|Q7O{1E%{AR07T1E|y2$`wi@{Hrq_9ch5T7yTJaQ$k)mm(do zq!_pA6m{X8BJFYtMXx7sz&xyNk$^%@*MrNz3(*X8lSWbA+W$mel#BY9NSv0HO6B}- z@B|;a;>oI*q^4=_l4g^(j-5N9 zz9QyXqrqyPvBSt8a!#O(#9VAsLUBw%>3gWn?K;G}>i8a3bs)VQJG4G~bKuyGfkgb} zv4`XP^+QGZ9`G69(FlA2vUR`#;3fd|z6E>-KpFCphjSc<@g>ME1CaM2;11v$0P=A! z;^TUli)-Ye{Z9cO1CSrtALOH-qxdM_0N^M92Y`r=^Ta)VTn-4cG)AKhniG{GEM_%RB(>V;s<*h>zU61M5gWIHJA@_zHmWi}vor{Gbc; z|MP*pNC!vs8||Vl@+1GF{Gm?tU4y)6jy~=H@T`%2j6d3x4?Dj^_XV1sOPehdni}2$ zsZWYD@f^mWNzRgP<0d=Iaf3FU&Sgv4ob;<=>RKDxNB1`ZTC}c+XGZjShiySW4arCQ zJ^o@Sw)-ufKd-0x3l;t%e~G^wwr&1Og)iz!ej@14{8fFHYePLKr6+sW@lvnH%=Q{t zccQEvXo~WrrX1df@sy^l{RHE$W##aJrtGb2okBMr{K9p~D|~^!$=~8{$Bgywe&5(w z(9ba5|K0oCsYUU7M^Eu96@Ha(_*Ff@Y4;c7A0;<4GPyy#*FFk!xY^N^&3ll`A7K5n zrX2qfM%Yu{2uH}Ra{R$#<~K9Y+ehUW@74hzx?_Xm|NZJ;?N>Yf`pWd`%NLp8Ez`w+ z0lK0mn3$ .gitignore << 'EOF' +# secrets e artefatti +config/secrets.yaml +data/ +models/ + +# python +__pycache__/ +*.pyc +.venv/ + +# editor +.vscode/ +.idea/ +EOF + +########################################################################################### +Passo 3 Verifica prerequisiti Docker (Gentoo) + +Esegui: + +docker --version +docker compose version + + +Se docker compose non esiste, di solito su Gentoo: + +o hai il plugin docker-cli-compose + +o usi docker-compose (legacy). In tal caso dimmelo e ti adatto i comandi. + +Quando hai eseguito i comandi del Passo 1–3, nel prossimo step ti faccio creare: + +requirements.txt minimale + pinned + +Dockerfile compatibile (python:3.10-slim) + +docker-compose.yml con volumi (config/, data/, models/) e variabile MODE=train|infer + +Se vuoi andare avanti subito senza feedback, incolla qui l’output di: + +docker --version +docker compose version + +docker compose version +Docker version 27.4.1, build b9d17eaebb55b7652ce37ae5c7c52fcb34194956 +Docker Compose version v2.28.1 + +Perfetto, sei a posto (Docker 27.4.1 + Compose v2.28.1). + +########################################################################################### +Passo 4 — Popoliamo i file base (requirements, Dockerfile, entrypoint, compose) +4.1 requirements.txt + +Metti dentro (pinned e minimale per il tuo caso): + +cat > requirements.txt << 'EOF' +pandas==2.2.2 +numpy==1.26.4 +scikit-learn==1.5.1 +joblib==1.4.2 + +paho-mqtt==2.1.0 +requests==2.32.3 +PyYAML==6.0.2 + +fastapi==0.115.0 +uvicorn[standard]==0.30.6 + +matplotlib==3.9.2 +seaborn==0.13.2 +EOF + + +(Se poi decidiamo che plot non servono in produzione, li togliamo.) + +4.2 Dockerfile (Python “fissato”, non-root, robusto) +cat > Dockerfile << 'EOF' +FROM python:3.10-slim + +# dipendenze native utili a numpy/scikit (safe choice) +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential gcc g++ \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +COPY requirements.txt /app/requirements.txt +RUN pip install --no-cache-dir -r /app/requirements.txt + +COPY app/ /app/app/ +COPY entrypoint.sh /app/entrypoint.sh +RUN chmod +x /app/entrypoint.sh + +# utente non-root +RUN useradd -m appuser +USER appuser + +# cartelle dati/modelli (volumi) +RUN mkdir -p /home/appuser/data /home/appuser/models +ENV DATA_DIR=/home/appuser/data +ENV MODELS_DIR=/home/appuser/models + +ENTRYPOINT ["/app/entrypoint.sh"] +EOF + +4.3 entrypoint.sh (MODE=train|infer|api) +cat > entrypoint.sh << 'EOF' +#!/usr/bin/env bash +set -euo pipefail + +MODE="${MODE:-infer}" + +case "$MODE" in + train) + exec python -m app.main train + ;; + infer) + exec python -m app.main infer + ;; + api) + exec uvicorn app.main:api --host 0.0.0.0 --port "${PORT:-8080}" + ;; + *) + echo "MODE non valido: $MODE (usa train|infer|api)" + exit 1 + ;; +esac +EOF + + +Poi rendilo eseguibile: + +chmod +x entrypoint.sh + +4.4 docker-compose.yml (volumi + config esterna) +cat > docker-compose.yml << 'EOF' +services: + ble-ai-localizer: + build: . + image: ble-ai-localizer:0.1.0 + environment: + MODE: "infer" + CONFIG_FILE: "/app/config/config.yaml" + SECRETS_FILE: "/app/config/secrets.yaml" + volumes: + - ./config:/app/config:ro + - ./data:/data + - ./models:/models + restart: unless-stopped +EOF + +4.5 config/config.yaml (scheletro) +cat > config/config.yaml << 'EOF' +mqtt: + host: "mosquitto" + port: 1883 + topic: "ble/raw" + +api: + get_gateways_url: "https://APIHOST:5050/reslevis/getGateways" + verify_tls: false + refresh_seconds: 300 + +oidc: + token_url: "https://KEYCLOAK/realms/REALM/protocol/openid-connect/token" + client_id: "Fastapi" + audience: "Fastapi" + +paths: + dataset: "/data/fingerprint.parquet" + model: "/models/model.joblib" + +ml: + # parametri generali; l'algoritmo è un dettaglio interno + method: "knn" + k: 7 + weights: "distance" + metric: "euclidean" +EOF + +4.6 config/secrets.yaml (placeholder, non versionare) +cat > config/secrets.yaml << 'EOF' +oidc: + client_secret: "CHANGE_ME" + username: "CHANGE_ME" + password: "CHANGE_ME" +EOF + +########################################################################################### +Passo 5 Metti un main minimale per verificare che il container parte +app/main.py +cat > app/main.py << 'EOF' +from fastapi import FastAPI +from .settings import load_settings + +api = FastAPI() + +@api.get("/health") +def health(): + return {"status": "ok"} + +def main(): + import sys + settings = load_settings() + print("Settings loaded. Keys:", list(settings.keys())) + + if len(sys.argv) < 2: + raise SystemExit("Usage: python -m app.main [train|infer]") + + cmd = sys.argv[1].lower() + if cmd == "train": + print("TRAIN mode (placeholder)") + elif cmd == "infer": + print("INFER mode (placeholder)") + else: + raise SystemExit("Unknown command") + +if __name__ == "__main__": + main() +EOF + +app/settings.py +cat > app/settings.py << 'EOF' +import os +from pathlib import Path +import yaml + +def _read_yaml(path: str) -> dict: + with open(path, "r", encoding="utf-8") as f: + return yaml.safe_load(f) or {} + +def deep_merge(a: dict, b: dict) -> dict: + out = dict(a or {}) + for k, v in (b or {}).items(): + if isinstance(v, dict) and isinstance(out.get(k), dict): + out[k] = deep_merge(out[k], v) + else: + out[k] = v + return out + +def load_settings() -> dict: + cfg_path = os.getenv("CONFIG_FILE", "/app/config/config.yaml") + settings = _read_yaml(cfg_path) + + secrets_path = os.getenv("SECRETS_FILE", "") + if secrets_path and Path(secrets_path).exists(): + secrets = _read_yaml(secrets_path) + settings = deep_merge(settings, secrets) + + # fallback paths (coerenti con compose) + settings.setdefault("paths", {}) + settings["paths"].setdefault("dataset", os.getenv("DATASET_PATH", "/data/fingerprint.parquet")) + settings["paths"].setdefault("model", os.getenv("MODEL_PATH", "/models/model.joblib")) + + return settings +EOF + +(Gli altri file per ora possono restare vuoti.) + +########################################################################################### +Passo 6 Build & test smoke test + docker compose build + + +########################################################################################### +### END prima creazione container ################# +########################################################################################### + + + + +########################################################################################### +1) Come avviare SOLO ble-ai-localizer (senza impattare gli altri) + + Vai nella directory del progetto: + cd /data/service/ble-ai-localizer + + Avvio in background: + docker compose -p ble-ai-localizer up -d + Perché -p ble-ai-localizer? + Imposta esplicitamente il project name, così sei sicuro al 100% di nonagganciare per errore un altro compose. + + Verifica stato (solo di questo progetto): + docker compose -p ble-ai-localizer ps + + Log (solo di questo progetto): + docker compose -p ble-ai-localizer logs -f + + +2) Come stoppare/riavviare SOLO ble-ai-localizer + + Stop (non rimuove container): + docker compose -p ble-ai-localizer stop + + Restart: + docker compose -p ble-ai-localizer restart + + Stop + rimozione container/network del progetto (NON tocca volumi bind ./data, ./models): + docker compose -p ble-ai-localizer down + +3) Aggiornare solo il tuo container (codice o Dockerfile cambiato) + + Ricostruisci l'immagine: + docker compose -p ble-ai-localizer build + + Riavvia applicando l'immagine nuova: + docker compose -p ble-ai-localizer up -d + + Se vuoi forzare rebuild+restart in un colpo: + docker compose -p ble-ai-localizer up -d --build + + +4) Esportare l'immagine (backup o deploy su altro server) + Esempio export in tar (meglio gzippato): + docker save ble-ai-localizer:0.1.0 | gzip > ble-ai-localizer_0.1.0.tar.gz + Su altro server: + gzip -dc ble-ai-localizer_0.1.0.tar.gz | docker load + +#Debug + mosquitto_sub -v -h 192.168.1.101 -p 1883 -t '#' -V mqttv311 | grep publish_out + + docker compose -p ble-ai-localizer exec -T ble-ai-localizer ls -l /data/config/ + + #Caso di gateway che non rileva nessun beacon + publish_out/ac233fc1dcd3 [{"timestamp":"2026-01-30T13:40:08.885Z","type":"Gateway","mac":"AC233FC1DCD3","nums":0}] + + +#Verifica del modello in uso: +#Ver 1 +docker compose -p ble-ai-localizer exec -T ble-ai-localizer python - <<'PY' +import hashlib, joblib, os +p="/data/model/model.joblib" +b=open(p,"rb").read() +print(f"FILE: {p}") +print(f"sha256={hashlib.sha256(b).hexdigest()[:12]} size={len(b)} bytes") +m=joblib.load(p) +print("TYPE:", type(m)) +for k in ["version","nan_fill","k_floor","k_xy","weights","metric","floors"]: + print(f"{k}:", getattr(m,k,None)) +gws=getattr(m,"feature_gateways",[]) +print("gateways:", len(gws), "first:", gws[:5]) +regs=getattr(m,"xy_regs",{}) +print("xy_regs floors:", sorted(list(regs.keys()))) +PY +service "ble-ai-localizer" is not running + +#Ver 2 +docker compose -p ble-ai-localizer exec -T ble-ai-localizer python - <<'PY' +import joblib, pprint +m = joblib.load("/data/model/model.joblib") +keys = [ + "created_at_utc","sklearn_version","numpy_version", + "gateways_order","nan_fill","k_floor","k_xy","weights","metric","floors" +] +pprint.pprint({k: m.get(k) for k in keys}) +PY + +#Esempio utilizzo server API: +Ottenimento del token: +TOKEN=$( + curl -k -s -X POST "https://10.251.0.30:10002/realms/API.Server.local/protocol/openid-connect/token" \ + -H "Content-Type: application/x-www-form-urlencoded" \ + -d "grant_type=password" \ + -d "client_id=Fastapi" \ + -d "client_secret=wojuoB7Z5xhlPFrF2lIxJSSdVHCApEgC" \ + -d "username=core" \ + -d "password=C0r3_us3r_Cr3d3nt14ls" \ + -d "audience=Fastapi" \ + | jq -r '.access_token' +) + +Utilizzare il token in un API: + +curl -k -X 'GET' \ + 'https://10.251.0.30:5050/reslevis/getTrackers' \ + -H 'accept: application/json' \ + -H 'Authorization: Bearer $TOKEN' + + + + +#Aggiornamento del software + cd /data/service/ble-ai-localizer + docker compose up -d --build + docker compose -p ble-ai-localizer build + docker compose -p ble-ai-localizer up -d --build + docker system prune + + +Gestione Sart/Stop Container + cd /data/service/ble-ai-localizer + docker compose -p ble-ai-localizer up -d + docker compose -p ble-ai-localizer logs -f --tail=200 --timestamps + docker compose -p ble-ai-localizer stop + docker compose -p ble-ai-localizer restart + docker compose -p ble-ai-localizer down + + +Accesso Web MajorNET ResLevis: + https://10.251.0.30/frontend/app_reslevis/app.html#home + +Accesso Web a Container ble-ai-localizer + URL: http://0.0.0.0:8501 + http://192.168.1.3:8501/ + username e password da file composer: docker-compose.yml + UI_USER: "Admin" + UI_PASSWORD: "pwdadmin1" <-- facilitate per accesso + da mobile + + + + +NOTE: +- Il valore di k utilizzato rappresenta la retta (k=2) o il piano (k>2) tra i + beacon di trainig, in addestramento deve coincidere come minimo con il +numero di beacon per stanza, ma è un parametro globale per cui va fatto +rispettare per tutte le stanze, per cui ad esempio se si decide di catturare 5 +misure per stanza k conviene metterlo a 3 + +- almeno a 1m dalle pareti della stanza (evitare attaccato al muro su pareti + adiacenti) + +- per piani simemtrici le misure di ogni piano conviene farle conincidere + +- aggingere timestamp in fingerprint e registarre traffico mqtt raw (a + parita' di finestra di registrazione potranno essere rivalutati i valori + letti) + +- Tempo di tx nel beacon 200 ms +- potenze 0, -4 ,-8, -12 +- slot di raccolta 30s + +- time 1400 +- Inferenza a 7 sec + +- durante la raccolta occorre almeno un beacon di test per potenza che veiene escluso + nell'addestarmento ma usato per l'inferenza con il traffico registrato nella + fase di raccolta. + +- testare prima gw e mgtt se regge 200 ms diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..2714793 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,14 @@ +pandas==2.2.2 +numpy==1.26.4 +scikit-learn==1.5.1 +joblib==1.4.2 + +paho-mqtt==2.1.0 +requests==2.32.3 +PyYAML==6.0.2 + +fastapi==0.115.0 +uvicorn[standard]==0.30.6 + +matplotlib==3.9.2 +seaborn==0.13.2 diff --git a/tmp/main_process.log b/tmp/main_process.log new file mode 100644 index 0000000..78f7d3f --- /dev/null +++ b/tmp/main_process.log @@ -0,0 +1,8687 @@ +2026-02-05T14:44:28.000Z Settings loaded from /config/config.yaml. Keys: ['api', 'collect_train', 'debug', 'infer', 'maps', 'ml', 'mode', 'mqtt', 'paths', 'train', 'ui'] +2026-02-05T14:44:28.000Z BUILD: ble-ai-localizer main.py 2026-01-30 build-floatagg-v1 sha256=4334dd41a022 size=27874 +2026-02-05T14:44:28.000Z INFER_MODE build tag=infer-debug-v19-hierarchical-final +2026-02-05T14:44:29.000Z Model loaded. Features: 16, Fill: -110.0 +2026-02-05T14:44:29.000Z CYCLE: 0/12 localized +2026-02-05T14:44:39.000Z CYCLE: 9/12 localized +2026-02-05T14:44:49.000Z CYCLE: 9/12 localized +2026-02-05T14:44:59.000Z CYCLE: 9/12 localized +2026-02-05T14:45:09.000Z CYCLE: 9/12 localized +2026-02-05T14:45:19.000Z CYCLE: 9/12 localized +2026-02-05T14:45:30.000Z CYCLE: 9/12 localized +2026-02-05T14:45:40.000Z CYCLE: 9/12 localized +2026-02-05T14:45:50.000Z CYCLE: 9/12 localized +2026-02-05T14:46:00.000Z CYCLE: 9/12 localized +2026-02-05T14:46:10.000Z CYCLE: 9/12 localized +2026-02-05T14:46:20.000Z CYCLE: 9/12 localized +2026-02-05T14:46:30.000Z CYCLE: 9/12 localized +2026-02-05T14:46:40.000Z CYCLE: 9/12 localized +2026-02-05T14:46:50.000Z CYCLE: 9/12 localized +2026-02-05T14:47:00.000Z CYCLE: 9/12 localized +2026-02-05T14:47:11.000Z CYCLE: 9/12 localized +2026-02-05T14:47:21.000Z CYCLE: 9/12 localized +2026-02-05T14:47:31.000Z CYCLE: 9/12 localized +2026-02-05T14:47:41.000Z CYCLE: 9/12 localized +2026-02-05T14:47:51.000Z CYCLE: 9/12 localized +2026-02-05T14:48:01.000Z CYCLE: 9/12 localized +2026-02-05T14:48:11.000Z CYCLE: 9/12 localized +2026-02-05T14:48:21.000Z CYCLE: 9/12 localized +2026-02-05T14:48:31.000Z CYCLE: 9/12 localized +2026-02-05T14:48:41.000Z CYCLE: 9/12 localized +2026-02-05T14:48:52.000Z CYCLE: 9/12 localized +2026-02-05T14:49:02.000Z CYCLE: 9/12 localized +2026-02-05T14:49:12.000Z CYCLE: 9/12 localized +2026-02-05T14:49:22.000Z CYCLE: 9/12 localized +2026-02-05T14:49:32.000Z CYCLE: 9/12 localized +2026-02-05T14:49:42.000Z CYCLE: 9/12 localized +2026-02-05T14:49:52.000Z CYCLE: 9/12 localized +2026-02-05T14:50:02.000Z CYCLE: 9/12 localized +2026-02-05T14:50:12.000Z CYCLE: 9/12 localized +2026-02-05T14:50:23.000Z CYCLE: 9/12 localized +2026-02-05T14:50:33.000Z CYCLE: 9/12 localized +2026-02-05T14:50:43.000Z CYCLE: 9/12 localized +2026-02-05T14:50:53.000Z CYCLE: 9/12 localized +2026-02-05T14:51:03.000Z CYCLE: 9/12 localized +2026-02-05T14:51:13.000Z CYCLE: 9/12 localized +2026-02-05T14:51:23.000Z CYCLE: 9/12 localized +2026-02-05T14:51:33.000Z CYCLE: 9/12 localized +2026-02-05T14:51:43.000Z CYCLE: 9/12 localized +2026-02-05T14:51:53.000Z CYCLE: 9/12 localized +2026-02-05T14:52:04.000Z CYCLE: 9/12 localized +2026-02-05T14:52:14.000Z CYCLE: 9/12 localized +2026-02-05T14:52:24.000Z CYCLE: 9/12 localized +2026-02-05T14:52:34.000Z CYCLE: 9/12 localized +2026-02-05T14:52:44.000Z CYCLE: 9/12 localized +2026-02-05T14:52:54.000Z CYCLE: 9/12 localized +2026-02-05T14:53:04.000Z CYCLE: 9/12 localized +2026-02-05T14:53:14.000Z CYCLE: 9/12 localized +2026-02-05T14:53:24.000Z CYCLE: 9/12 localized +2026-02-05T14:53:35.000Z CYCLE: 9/12 localized +2026-02-05T14:53:45.000Z CYCLE: 9/12 localized +2026-02-05T14:53:55.000Z CYCLE: 9/12 localized +2026-02-05T14:54:05.000Z CYCLE: 9/12 localized +2026-02-05T14:54:15.000Z CYCLE: 9/12 localized +2026-02-05T14:54:25.000Z CYCLE: 9/12 localized +2026-02-05T14:54:35.000Z CYCLE: 9/12 localized +2026-02-05T14:54:45.000Z CYCLE: 9/12 localized +2026-02-05T14:54:55.000Z CYCLE: 9/12 localized +2026-02-05T14:55:05.000Z CYCLE: 9/12 localized +2026-02-05T14:55:16.000Z CYCLE: 9/12 localized +2026-02-05T14:55:26.000Z CYCLE: 9/12 localized +2026-02-05T14:55:36.000Z CYCLE: 9/12 localized +2026-02-05T14:55:46.000Z CYCLE: 9/12 localized +2026-02-05T14:55:56.000Z CYCLE: 9/12 localized +2026-02-05T14:56:06.000Z CYCLE: 9/12 localized +2026-02-05T14:56:16.000Z CYCLE: 9/12 localized +2026-02-05T14:56:26.000Z CYCLE: 9/12 localized +2026-02-05T14:56:36.000Z CYCLE: 9/12 localized +2026-02-05T14:56:46.000Z CYCLE: 9/12 localized +2026-02-05T14:56:57.000Z CYCLE: 9/12 localized +2026-02-05T14:57:07.000Z CYCLE: 9/12 localized +2026-02-05T14:57:17.000Z CYCLE: 9/12 localized +2026-02-05T14:57:27.000Z CYCLE: 9/12 localized +2026-02-05T14:57:37.000Z CYCLE: 9/12 localized +2026-02-05T14:57:47.000Z CYCLE: 9/12 localized +2026-02-05T14:57:57.000Z CYCLE: 9/12 localized +2026-02-05T14:58:07.000Z CYCLE: 9/12 localized +2026-02-05T14:58:17.000Z CYCLE: 9/12 localized +2026-02-05T14:58:27.000Z CYCLE: 9/12 localized +2026-02-05T14:58:38.000Z CYCLE: 9/12 localized +2026-02-05T14:58:48.000Z CYCLE: 9/12 localized +2026-02-05T14:58:58.000Z CYCLE: 9/12 localized +2026-02-05T14:59:08.000Z CYCLE: 9/12 localized +2026-02-05T14:59:18.000Z CYCLE: 9/12 localized +2026-02-05T14:59:28.000Z CYCLE: 9/12 localized +2026-02-05T14:59:38.000Z CYCLE: 9/12 localized +2026-02-05T14:59:48.000Z CYCLE: 9/12 localized +2026-02-05T14:59:58.000Z CYCLE: 9/12 localized +2026-02-05T15:00:09.000Z CYCLE: 9/12 localized +2026-02-05T15:00:19.000Z CYCLE: 9/12 localized +2026-02-05T15:00:29.000Z CYCLE: 9/12 localized +2026-02-05T15:00:39.000Z CYCLE: 9/12 localized +2026-02-05T15:00:49.000Z CYCLE: 9/12 localized +2026-02-05T15:00:59.000Z CYCLE: 9/12 localized +2026-02-05T15:01:09.000Z CYCLE: 9/12 localized +2026-02-05T15:01:19.000Z CYCLE: 9/12 localized +2026-02-05T15:01:29.000Z CYCLE: 9/12 localized +2026-02-05T15:01:39.000Z CYCLE: 9/12 localized +2026-02-05T15:01:50.000Z CYCLE: 9/12 localized +2026-02-05T15:02:00.000Z CYCLE: 9/12 localized +2026-02-05T15:02:10.000Z CYCLE: 9/12 localized +2026-02-05T15:02:20.000Z CYCLE: 9/12 localized +2026-02-05T15:02:30.000Z CYCLE: 9/12 localized +2026-02-05T15:02:40.000Z CYCLE: 9/12 localized +2026-02-05T15:02:50.000Z CYCLE: 9/12 localized +2026-02-05T15:03:00.000Z CYCLE: 9/12 localized +2026-02-05T15:03:10.000Z CYCLE: 9/12 localized +2026-02-05T15:03:20.000Z CYCLE: 9/12 localized +2026-02-05T15:03:31.000Z CYCLE: 9/12 localized +2026-02-05T15:03:41.000Z CYCLE: 9/12 localized +2026-02-05T15:03:51.000Z CYCLE: 9/12 localized +2026-02-05T15:04:01.000Z CYCLE: 9/12 localized +2026-02-05T15:04:11.000Z CYCLE: 9/12 localized +2026-02-05T15:04:21.000Z CYCLE: 9/12 localized +2026-02-05T15:04:31.000Z CYCLE: 9/12 localized +2026-02-05T15:04:41.000Z CYCLE: 9/12 localized +2026-02-05T15:04:51.000Z CYCLE: 9/12 localized +2026-02-05T15:05:01.000Z CYCLE: 9/12 localized +2026-02-05T15:05:12.000Z CYCLE: 9/12 localized +2026-02-05T15:05:22.000Z CYCLE: 9/12 localized +2026-02-05T15:05:32.000Z CYCLE: 9/12 localized +2026-02-05T15:05:42.000Z CYCLE: 9/12 localized +2026-02-05T15:05:52.000Z CYCLE: 9/12 localized +2026-02-05T15:06:02.000Z CYCLE: 9/12 localized +2026-02-05T15:06:12.000Z CYCLE: 9/12 localized +2026-02-05T15:06:22.000Z CYCLE: 9/12 localized +2026-02-05T15:06:32.000Z CYCLE: 9/12 localized +2026-02-05T15:06:42.000Z CYCLE: 9/12 localized +2026-02-05T15:06:52.000Z CYCLE: 9/12 localized +2026-02-05T15:07:03.000Z CYCLE: 9/12 localized +2026-02-05T15:07:13.000Z CYCLE: 9/12 localized +2026-02-05T15:07:23.000Z CYCLE: 9/12 localized +2026-02-05T15:07:33.000Z CYCLE: 9/12 localized +2026-02-05T15:07:43.000Z CYCLE: 9/12 localized +2026-02-05T15:07:53.000Z CYCLE: 9/12 localized +2026-02-05T15:08:03.000Z CYCLE: 9/12 localized +2026-02-05T15:08:13.000Z CYCLE: 9/12 localized +2026-02-05T15:08:23.000Z CYCLE: 9/12 localized +2026-02-05T15:08:33.000Z CYCLE: 9/12 localized +2026-02-05T15:08:44.000Z CYCLE: 9/12 localized +2026-02-05T15:08:54.000Z CYCLE: 9/12 localized +2026-02-05T15:09:04.000Z CYCLE: 9/12 localized +2026-02-05T15:09:14.000Z CYCLE: 9/12 localized +2026-02-05T15:09:24.000Z CYCLE: 9/12 localized +2026-02-05T15:09:34.000Z CYCLE: 9/12 localized +2026-02-05T15:09:44.000Z CYCLE: 9/12 localized +2026-02-05T15:09:54.000Z CYCLE: 9/12 localized +2026-02-05T15:10:04.000Z CYCLE: 9/12 localized +2026-02-05T15:10:15.000Z CYCLE: 9/12 localized +2026-02-05T15:10:25.000Z CYCLE: 9/12 localized +2026-02-05T15:10:35.000Z CYCLE: 9/12 localized +2026-02-05T15:10:45.000Z CYCLE: 9/12 localized +2026-02-05T15:10:55.000Z CYCLE: 9/12 localized +2026-02-05T15:11:05.000Z CYCLE: 9/12 localized +2026-02-05T15:11:15.000Z CYCLE: 9/12 localized +2026-02-05T15:11:25.000Z CYCLE: 9/12 localized +2026-02-05T15:11:35.000Z CYCLE: 9/12 localized +2026-02-05T15:11:45.000Z CYCLE: 9/12 localized +2026-02-05T15:11:55.000Z CYCLE: 9/12 localized +2026-02-05T15:12:06.000Z CYCLE: 9/12 localized +2026-02-05T15:12:16.000Z CYCLE: 9/12 localized +2026-02-05T15:12:26.000Z CYCLE: 9/12 localized +2026-02-05T15:12:36.000Z CYCLE: 9/12 localized +2026-02-05T15:12:46.000Z CYCLE: 9/12 localized +2026-02-05T15:12:56.000Z CYCLE: 9/12 localized +2026-02-05T15:13:06.000Z CYCLE: 9/12 localized +2026-02-05T15:13:16.000Z CYCLE: 9/12 localized +2026-02-05T15:13:26.000Z CYCLE: 9/12 localized +2026-02-05T15:13:36.000Z CYCLE: 9/12 localized +2026-02-05T15:13:47.000Z CYCLE: 9/12 localized +2026-02-05T15:13:57.000Z CYCLE: 9/12 localized +2026-02-05T15:14:07.000Z CYCLE: 9/12 localized +2026-02-05T15:14:17.000Z CYCLE: 9/12 localized +2026-02-05T15:14:27.000Z CYCLE: 9/12 localized +2026-02-05T15:14:37.000Z CYCLE: 9/12 localized +2026-02-05T15:14:47.000Z CYCLE: 9/12 localized +2026-02-05T15:14:57.000Z CYCLE: 9/12 localized +2026-02-05T15:15:07.000Z CYCLE: 9/12 localized +2026-02-05T15:15:18.000Z CYCLE: 9/12 localized +2026-02-05T15:15:28.000Z CYCLE: 9/12 localized +2026-02-05T15:15:38.000Z CYCLE: 9/12 localized +2026-02-05T15:15:48.000Z CYCLE: 9/12 localized +2026-02-05T15:15:58.000Z CYCLE: 9/12 localized +2026-02-05T15:16:08.000Z CYCLE: 9/12 localized +2026-02-05T15:16:18.000Z CYCLE: 9/12 localized +2026-02-05T15:16:28.000Z CYCLE: 9/12 localized +2026-02-05T15:16:38.000Z CYCLE: 9/12 localized +2026-02-05T15:16:48.000Z CYCLE: 9/12 localized +2026-02-05T15:16:59.000Z CYCLE: 9/12 localized +2026-02-05T15:17:09.000Z CYCLE: 9/12 localized +2026-02-05T15:17:19.000Z CYCLE: 9/12 localized +2026-02-05T15:17:29.000Z CYCLE: 9/12 localized +2026-02-05T15:17:39.000Z CYCLE: 9/12 localized +2026-02-05T15:17:49.000Z CYCLE: 9/12 localized +2026-02-05T15:17:59.000Z CYCLE: 9/12 localized +2026-02-05T15:18:09.000Z CYCLE: 9/12 localized +2026-02-05T15:18:19.000Z CYCLE: 9/12 localized +2026-02-05T15:18:29.000Z CYCLE: 9/12 localized +2026-02-05T15:18:40.000Z CYCLE: 9/12 localized +2026-02-05T15:18:50.000Z CYCLE: 9/12 localized +2026-02-05T15:19:00.000Z CYCLE: 9/12 localized +2026-02-05T15:19:10.000Z CYCLE: 9/12 localized +2026-02-05T15:19:20.000Z CYCLE: 9/12 localized +2026-02-05T15:19:30.000Z CYCLE: 9/12 localized +2026-02-05T15:19:40.000Z CYCLE: 9/12 localized +2026-02-05T15:19:50.000Z CYCLE: 9/12 localized +2026-02-05T15:20:00.000Z CYCLE: 9/12 localized +2026-02-05T15:20:10.000Z CYCLE: 9/12 localized +2026-02-05T15:20:21.000Z CYCLE: 9/12 localized +2026-02-05T15:20:31.000Z CYCLE: 9/12 localized +2026-02-05T15:20:41.000Z CYCLE: 9/12 localized +2026-02-05T15:20:51.000Z CYCLE: 9/12 localized +2026-02-05T15:21:01.000Z CYCLE: 9/12 localized +2026-02-05T15:21:11.000Z CYCLE: 9/12 localized +2026-02-05T15:21:21.000Z CYCLE: 9/12 localized +2026-02-05T15:21:31.000Z CYCLE: 9/12 localized +2026-02-05T15:21:41.000Z CYCLE: 9/12 localized +2026-02-05T15:21:51.000Z CYCLE: 9/12 localized +2026-02-05T15:22:02.000Z CYCLE: 9/12 localized +2026-02-05T15:22:12.000Z CYCLE: 9/12 localized +2026-02-05T15:22:22.000Z CYCLE: 9/12 localized +2026-02-05T15:22:32.000Z CYCLE: 9/12 localized +2026-02-05T15:22:42.000Z CYCLE: 9/12 localized +2026-02-05T15:22:52.000Z CYCLE: 9/12 localized +2026-02-05T15:23:02.000Z CYCLE: 9/12 localized +2026-02-05T15:23:12.000Z CYCLE: 9/12 localized +2026-02-05T15:23:22.000Z CYCLE: 9/12 localized +2026-02-05T15:23:32.000Z CYCLE: 9/12 localized +2026-02-05T15:23:43.000Z CYCLE: 9/12 localized +2026-02-05T15:23:53.000Z CYCLE: 9/12 localized +2026-02-05T15:24:03.000Z CYCLE: 9/12 localized +2026-02-05T15:24:13.000Z CYCLE: 9/12 localized +2026-02-05T15:24:23.000Z CYCLE: 9/12 localized +2026-02-05T15:24:33.000Z CYCLE: 9/12 localized +2026-02-05T15:24:43.000Z CYCLE: 9/12 localized +2026-02-05T15:24:53.000Z CYCLE: 9/12 localized +2026-02-05T15:25:03.000Z CYCLE: 9/12 localized +2026-02-05T15:25:13.000Z CYCLE: 9/12 localized +2026-02-05T15:25:24.000Z CYCLE: 9/12 localized +2026-02-05T15:25:34.000Z CYCLE: 9/12 localized +2026-02-05T15:25:44.000Z CYCLE: 9/12 localized +2026-02-05T15:25:54.000Z CYCLE: 9/12 localized +2026-02-05T15:26:04.000Z CYCLE: 9/12 localized +2026-02-05T15:26:14.000Z CYCLE: 9/12 localized +2026-02-05T15:26:24.000Z CYCLE: 9/12 localized +2026-02-05T15:26:34.000Z CYCLE: 9/12 localized +2026-02-05T15:26:44.000Z CYCLE: 9/12 localized +2026-02-05T15:26:54.000Z CYCLE: 9/12 localized +2026-02-05T15:27:05.000Z CYCLE: 9/12 localized +2026-02-05T15:27:15.000Z CYCLE: 9/12 localized +2026-02-05T15:27:25.000Z CYCLE: 9/12 localized +2026-02-05T15:27:35.000Z CYCLE: 9/12 localized +2026-02-05T15:27:45.000Z CYCLE: 9/12 localized +2026-02-05T15:27:55.000Z CYCLE: 9/12 localized +2026-02-05T15:28:05.000Z CYCLE: 9/12 localized +2026-02-05T15:28:15.000Z CYCLE: 9/12 localized +2026-02-05T15:28:25.000Z CYCLE: 9/12 localized +2026-02-05T15:28:36.000Z CYCLE: 9/12 localized +2026-02-05T15:28:46.000Z CYCLE: 9/12 localized +2026-02-05T15:28:56.000Z CYCLE: 9/12 localized +2026-02-05T15:29:06.000Z CYCLE: 9/12 localized +2026-02-05T15:29:16.000Z CYCLE: 9/12 localized +2026-02-05T15:29:26.000Z CYCLE: 9/12 localized +2026-02-05T15:29:36.000Z CYCLE: 9/12 localized +2026-02-05T15:29:46.000Z CYCLE: 9/12 localized +2026-02-05T15:29:56.000Z CYCLE: 9/12 localized +2026-02-05T15:30:06.000Z CYCLE: 9/12 localized +2026-02-05T15:30:17.000Z CYCLE: 9/12 localized +2026-02-05T15:30:27.000Z CYCLE: 9/12 localized +2026-02-05T15:30:37.000Z CYCLE: 9/12 localized +2026-02-05T15:30:47.000Z CYCLE: 9/12 localized +2026-02-05T15:30:57.000Z CYCLE: 9/12 localized +2026-02-05T15:31:07.000Z CYCLE: 9/12 localized +2026-02-05T15:31:17.000Z CYCLE: 9/12 localized +2026-02-05T15:31:27.000Z CYCLE: 9/12 localized +2026-02-05T15:31:37.000Z CYCLE: 9/12 localized +2026-02-05T15:31:47.000Z CYCLE: 9/12 localized +2026-02-05T15:31:58.000Z CYCLE: 9/12 localized +2026-02-05T15:32:08.000Z CYCLE: 9/12 localized +2026-02-05T15:32:18.000Z CYCLE: 9/12 localized +2026-02-05T15:32:28.000Z CYCLE: 9/12 localized +2026-02-05T15:32:38.000Z CYCLE: 9/12 localized +2026-02-05T15:32:48.000Z CYCLE: 9/12 localized +2026-02-05T15:32:58.000Z CYCLE: 9/12 localized +2026-02-05T15:33:08.000Z CYCLE: 9/12 localized +2026-02-05T15:33:18.000Z CYCLE: 9/12 localized +2026-02-05T15:33:29.000Z CYCLE: 9/12 localized +2026-02-05T15:33:39.000Z CYCLE: 9/12 localized +2026-02-05T15:33:49.000Z CYCLE: 9/12 localized +2026-02-05T15:33:59.000Z CYCLE: 9/12 localized +2026-02-05T15:34:09.000Z CYCLE: 9/12 localized +2026-02-05T15:34:19.000Z CYCLE: 9/12 localized +2026-02-05T15:34:29.000Z CYCLE: 9/12 localized +2026-02-05T15:34:39.000Z CYCLE: 9/12 localized +2026-02-05T15:34:49.000Z CYCLE: 9/12 localized +2026-02-05T15:34:59.000Z CYCLE: 9/12 localized +2026-02-05T15:35:10.000Z CYCLE: 9/12 localized +2026-02-05T15:35:20.000Z CYCLE: 9/12 localized +2026-02-05T15:35:30.000Z CYCLE: 9/12 localized +2026-02-05T15:35:40.000Z CYCLE: 9/12 localized +2026-02-05T15:35:50.000Z CYCLE: 9/12 localized +2026-02-05T15:36:00.000Z CYCLE: 9/12 localized +2026-02-05T15:36:10.000Z CYCLE: 9/12 localized +2026-02-05T15:36:20.000Z CYCLE: 9/12 localized +2026-02-05T15:36:30.000Z CYCLE: 9/12 localized +2026-02-05T15:36:40.000Z CYCLE: 9/12 localized +2026-02-05T15:36:51.000Z CYCLE: 9/12 localized +2026-02-05T15:37:01.000Z CYCLE: 9/12 localized +2026-02-05T15:37:11.000Z CYCLE: 9/12 localized +2026-02-05T15:37:21.000Z CYCLE: 9/12 localized +2026-02-05T15:37:31.000Z CYCLE: 9/12 localized +2026-02-05T15:37:41.000Z CYCLE: 9/12 localized +2026-02-05T15:37:51.000Z CYCLE: 9/12 localized +2026-02-05T15:38:01.000Z CYCLE: 9/12 localized +2026-02-05T15:38:11.000Z CYCLE: 9/12 localized +2026-02-05T15:38:22.000Z CYCLE: 9/12 localized +2026-02-05T15:38:32.000Z CYCLE: 9/12 localized +2026-02-05T15:38:42.000Z CYCLE: 9/12 localized +2026-02-05T15:38:52.000Z CYCLE: 9/12 localized +2026-02-05T15:39:02.000Z CYCLE: 9/12 localized +2026-02-05T15:39:12.000Z CYCLE: 9/12 localized +2026-02-05T15:39:22.000Z CYCLE: 9/12 localized +2026-02-05T15:39:32.000Z CYCLE: 9/12 localized +2026-02-05T15:39:42.000Z CYCLE: 9/12 localized +2026-02-05T15:39:52.000Z CYCLE: 9/12 localized +2026-02-05T15:40:03.000Z CYCLE: 9/12 localized +2026-02-05T15:40:13.000Z CYCLE: 9/12 localized +2026-02-05T15:40:23.000Z CYCLE: 9/12 localized +2026-02-05T15:40:33.000Z CYCLE: 9/12 localized +2026-02-05T15:40:43.000Z CYCLE: 9/12 localized +2026-02-05T15:40:53.000Z CYCLE: 9/12 localized +2026-02-05T15:41:03.000Z CYCLE: 9/12 localized +2026-02-05T15:41:13.000Z CYCLE: 9/12 localized +2026-02-05T15:41:23.000Z CYCLE: 9/12 localized +2026-02-05T15:41:34.000Z CYCLE: 9/12 localized +2026-02-05T15:41:44.000Z CYCLE: 9/12 localized +2026-02-05T15:41:54.000Z CYCLE: 9/12 localized +2026-02-05T15:42:04.000Z CYCLE: 9/12 localized +2026-02-05T15:42:14.000Z CYCLE: 9/12 localized +2026-02-05T15:42:24.000Z CYCLE: 9/12 localized +2026-02-05T15:42:34.000Z CYCLE: 9/12 localized +2026-02-05T15:42:44.000Z CYCLE: 9/12 localized +2026-02-05T15:42:54.000Z CYCLE: 9/12 localized +2026-02-05T15:43:05.000Z CYCLE: 9/12 localized +2026-02-05T15:43:15.000Z CYCLE: 9/12 localized +2026-02-05T15:43:25.000Z CYCLE: 9/12 localized +2026-02-05T15:43:35.000Z CYCLE: 9/12 localized +2026-02-05T15:43:45.000Z CYCLE: 9/12 localized +2026-02-05T15:43:55.000Z CYCLE: 9/12 localized +2026-02-05T15:44:05.000Z CYCLE: 9/12 localized +2026-02-05T15:44:15.000Z CYCLE: 9/12 localized +2026-02-05T15:44:25.000Z CYCLE: 9/12 localized +2026-02-05T15:44:35.000Z CYCLE: 9/12 localized +2026-02-05T15:44:46.000Z CYCLE: 9/12 localized +2026-02-05T15:44:56.000Z CYCLE: 9/12 localized +2026-02-05T15:45:06.000Z CYCLE: 9/12 localized +2026-02-05T15:45:16.000Z CYCLE: 9/12 localized +2026-02-05T15:45:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T15:45:26.000Z CYCLE: 8/12 localized +2026-02-05T15:45:36.000Z CYCLE: 9/12 localized +2026-02-05T15:45:46.000Z CYCLE: 9/12 localized +2026-02-05T15:45:56.000Z CYCLE: 9/12 localized +2026-02-05T15:46:06.000Z CYCLE: 9/12 localized +2026-02-05T15:46:16.000Z CYCLE: 9/12 localized +2026-02-05T15:46:27.000Z CYCLE: 9/12 localized +2026-02-05T15:46:37.000Z CYCLE: 9/12 localized +2026-02-05T15:46:47.000Z CYCLE: 9/12 localized +2026-02-05T15:46:57.000Z CYCLE: 9/12 localized +2026-02-05T15:47:07.000Z CYCLE: 9/12 localized +2026-02-05T15:47:17.000Z CYCLE: 9/12 localized +2026-02-05T15:47:27.000Z CYCLE: 9/12 localized +2026-02-05T15:47:37.000Z CYCLE: 9/12 localized +2026-02-05T15:47:47.000Z CYCLE: 9/12 localized +2026-02-05T15:47:57.000Z CYCLE: 9/12 localized +2026-02-05T15:48:08.000Z CYCLE: 9/12 localized +2026-02-05T15:48:18.000Z CYCLE: 9/12 localized +2026-02-05T15:48:28.000Z CYCLE: 9/12 localized +2026-02-05T15:48:38.000Z CYCLE: 9/12 localized +2026-02-05T15:48:48.000Z CYCLE: 9/12 localized +2026-02-05T15:48:58.000Z CYCLE: 9/12 localized +2026-02-05T15:49:08.000Z CYCLE: 9/12 localized +2026-02-05T15:49:18.000Z CYCLE: 9/12 localized +2026-02-05T15:49:28.000Z CYCLE: 9/12 localized +2026-02-05T15:49:39.000Z CYCLE: 9/12 localized +2026-02-05T15:49:49.000Z CYCLE: 9/12 localized +2026-02-05T15:49:59.000Z CYCLE: 9/12 localized +2026-02-05T15:50:09.000Z CYCLE: 9/12 localized +2026-02-05T15:50:19.000Z CYCLE: 9/12 localized +2026-02-05T15:50:29.000Z CYCLE: 9/12 localized +2026-02-05T15:50:39.000Z CYCLE: 9/12 localized +2026-02-05T15:50:49.000Z CYCLE: 9/12 localized +2026-02-05T15:50:59.000Z CYCLE: 9/12 localized +2026-02-05T15:51:10.000Z CYCLE: 9/12 localized +2026-02-05T15:51:20.000Z CYCLE: 9/12 localized +2026-02-05T15:51:30.000Z CYCLE: 9/12 localized +2026-02-05T15:51:40.000Z CYCLE: 9/12 localized +2026-02-05T15:51:50.000Z CYCLE: 9/12 localized +2026-02-05T15:52:00.000Z CYCLE: 9/12 localized +2026-02-05T15:52:10.000Z CYCLE: 9/12 localized +2026-02-05T15:52:20.000Z CYCLE: 9/12 localized +2026-02-05T15:52:30.000Z CYCLE: 9/12 localized +2026-02-05T15:52:40.000Z CYCLE: 9/12 localized +2026-02-05T15:52:51.000Z CYCLE: 9/12 localized +2026-02-05T15:53:01.000Z CYCLE: 9/12 localized +2026-02-05T15:53:11.000Z CYCLE: 9/12 localized +2026-02-05T15:53:21.000Z CYCLE: 9/12 localized +2026-02-05T15:53:31.000Z CYCLE: 9/12 localized +2026-02-05T15:53:41.000Z CYCLE: 9/12 localized +2026-02-05T15:53:51.000Z CYCLE: 9/12 localized +2026-02-05T15:54:01.000Z CYCLE: 9/12 localized +2026-02-05T15:54:12.000Z CYCLE: 9/12 localized +2026-02-05T15:54:22.000Z CYCLE: 9/12 localized +2026-02-05T15:54:32.000Z CYCLE: 9/12 localized +2026-02-05T15:54:42.000Z CYCLE: 9/12 localized +2026-02-05T15:54:52.000Z CYCLE: 9/12 localized +2026-02-05T15:55:02.000Z CYCLE: 9/12 localized +2026-02-05T15:55:12.000Z CYCLE: 9/12 localized +2026-02-05T15:55:22.000Z CYCLE: 9/12 localized +2026-02-05T15:55:32.000Z CYCLE: 9/12 localized +2026-02-05T15:55:42.000Z CYCLE: 9/12 localized +2026-02-05T15:55:52.000Z CYCLE: 9/12 localized +2026-02-05T15:56:02.000Z CYCLE: 9/12 localized +2026-02-05T15:56:13.000Z CYCLE: 9/12 localized +2026-02-05T15:56:23.000Z CYCLE: 9/12 localized +2026-02-05T15:56:33.000Z CYCLE: 9/12 localized +2026-02-05T15:56:43.000Z CYCLE: 9/12 localized +2026-02-05T15:56:53.000Z CYCLE: 9/12 localized +2026-02-05T15:57:03.000Z CYCLE: 9/12 localized +2026-02-05T15:57:13.000Z CYCLE: 9/12 localized +2026-02-05T15:57:23.000Z CYCLE: 9/12 localized +2026-02-05T15:57:33.000Z CYCLE: 9/12 localized +2026-02-05T15:57:43.000Z CYCLE: 9/12 localized +2026-02-05T15:57:53.000Z CYCLE: 9/12 localized +2026-02-05T15:58:03.000Z CYCLE: 9/12 localized +2026-02-05T15:58:14.000Z CYCLE: 9/12 localized +2026-02-05T15:58:24.000Z CYCLE: 9/12 localized +2026-02-05T15:58:34.000Z CYCLE: 9/12 localized +2026-02-05T15:58:44.000Z CYCLE: 9/12 localized +2026-02-05T15:58:54.000Z CYCLE: 9/12 localized +2026-02-05T15:59:04.000Z CYCLE: 9/12 localized +2026-02-05T15:59:14.000Z CYCLE: 9/12 localized +2026-02-05T15:59:24.000Z CYCLE: 9/12 localized +2026-02-05T15:59:34.000Z CYCLE: 9/12 localized +2026-02-05T15:59:44.000Z CYCLE: 9/12 localized +2026-02-05T15:59:54.000Z CYCLE: 9/12 localized +2026-02-05T16:00:05.000Z CYCLE: 9/12 localized +2026-02-05T16:00:15.000Z CYCLE: 9/12 localized +2026-02-05T16:00:25.000Z CYCLE: 9/12 localized +2026-02-05T16:00:35.000Z CYCLE: 9/12 localized +2026-02-05T16:00:45.000Z CYCLE: 9/12 localized +2026-02-05T16:00:55.000Z CYCLE: 9/12 localized +2026-02-05T16:01:05.000Z CYCLE: 9/12 localized +2026-02-05T16:01:15.000Z CYCLE: 9/12 localized +2026-02-05T16:01:25.000Z CYCLE: 9/12 localized +2026-02-05T16:01:35.000Z CYCLE: 9/12 localized +2026-02-05T16:01:46.000Z CYCLE: 9/12 localized +2026-02-05T16:01:56.000Z CYCLE: 9/12 localized +2026-02-05T16:02:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T16:02:06.000Z CYCLE: 8/12 localized +2026-02-05T16:02:16.000Z CYCLE: 9/12 localized +2026-02-05T16:02:26.000Z CYCLE: 9/12 localized +2026-02-05T16:02:36.000Z CYCLE: 9/12 localized +2026-02-05T16:02:46.000Z CYCLE: 9/12 localized +2026-02-05T16:02:56.000Z CYCLE: 9/12 localized +2026-02-05T16:03:06.000Z CYCLE: 9/12 localized +2026-02-05T16:03:17.000Z CYCLE: 9/12 localized +2026-02-05T16:03:27.000Z CYCLE: 9/12 localized +2026-02-05T16:03:37.000Z CYCLE: 9/12 localized +2026-02-05T16:03:47.000Z CYCLE: 9/12 localized +2026-02-05T16:03:57.000Z CYCLE: 9/12 localized +2026-02-05T16:04:07.000Z CYCLE: 9/12 localized +2026-02-05T16:04:17.000Z CYCLE: 9/12 localized +2026-02-05T16:04:27.000Z CYCLE: 9/12 localized +2026-02-05T16:04:37.000Z CYCLE: 9/12 localized +2026-02-05T16:04:47.000Z CYCLE: 9/12 localized +2026-02-05T16:04:58.000Z CYCLE: 9/12 localized +2026-02-05T16:05:08.000Z CYCLE: 9/12 localized +2026-02-05T16:05:18.000Z CYCLE: 9/12 localized +2026-02-05T16:05:28.000Z CYCLE: 9/12 localized +2026-02-05T16:05:38.000Z CYCLE: 9/12 localized +2026-02-05T16:05:48.000Z CYCLE: 9/12 localized +2026-02-05T16:05:58.000Z CYCLE: 9/12 localized +2026-02-05T16:06:08.000Z CYCLE: 9/12 localized +2026-02-05T16:06:18.000Z CYCLE: 9/12 localized +2026-02-05T16:06:29.000Z CYCLE: 9/12 localized +2026-02-05T16:06:39.000Z CYCLE: 9/12 localized +2026-02-05T16:06:49.000Z CYCLE: 9/12 localized +2026-02-05T16:06:59.000Z CYCLE: 9/12 localized +2026-02-05T16:07:09.000Z CYCLE: 9/12 localized +2026-02-05T16:07:19.000Z CYCLE: 9/12 localized +2026-02-05T16:07:29.000Z CYCLE: 9/12 localized +2026-02-05T16:07:39.000Z CYCLE: 9/12 localized +2026-02-05T16:07:49.000Z CYCLE: 9/12 localized +2026-02-05T16:07:59.000Z CYCLE: 9/12 localized +2026-02-05T16:08:10.000Z CYCLE: 9/12 localized +2026-02-05T16:08:20.000Z CYCLE: 9/12 localized +2026-02-05T16:08:30.000Z CYCLE: 9/12 localized +2026-02-05T16:08:40.000Z CYCLE: 9/12 localized +2026-02-05T16:08:50.000Z CYCLE: 9/12 localized +2026-02-05T16:09:00.000Z CYCLE: 9/12 localized +2026-02-05T16:09:10.000Z CYCLE: 9/12 localized +2026-02-05T16:09:20.000Z CYCLE: 9/12 localized +2026-02-05T16:09:30.000Z CYCLE: 9/12 localized +2026-02-05T16:09:40.000Z CYCLE: 9/12 localized +2026-02-05T16:09:51.000Z CYCLE: 9/12 localized +2026-02-05T16:10:01.000Z CYCLE: 9/12 localized +2026-02-05T16:10:11.000Z CYCLE: 9/12 localized +2026-02-05T16:10:21.000Z CYCLE: 9/12 localized +2026-02-05T16:10:31.000Z CYCLE: 9/12 localized +2026-02-05T16:10:41.000Z CYCLE: 9/12 localized +2026-02-05T16:10:51.000Z CYCLE: 9/12 localized +2026-02-05T16:11:01.000Z CYCLE: 9/12 localized +2026-02-05T16:11:11.000Z CYCLE: 9/12 localized +2026-02-05T16:11:22.000Z CYCLE: 9/12 localized +2026-02-05T16:11:32.000Z CYCLE: 9/12 localized +2026-02-05T16:11:42.000Z CYCLE: 9/12 localized +2026-02-05T16:11:52.000Z CYCLE: 8/12 localized +2026-02-05T16:12:02.000Z CYCLE: 8/12 localized +2026-02-05T16:12:12.000Z CYCLE: 8/12 localized +2026-02-05T16:12:22.000Z CYCLE: 8/12 localized +2026-02-05T16:12:32.000Z CYCLE: 8/12 localized +2026-02-05T16:12:42.000Z CYCLE: 8/12 localized +2026-02-05T16:12:53.000Z CYCLE: 8/12 localized +2026-02-05T16:13:03.000Z CYCLE: 8/12 localized +2026-02-05T16:13:13.000Z CYCLE: 8/12 localized +2026-02-05T16:13:23.000Z CYCLE: 8/12 localized +2026-02-05T16:13:33.000Z CYCLE: 8/12 localized +2026-02-05T16:13:43.000Z CYCLE: 8/12 localized +2026-02-05T16:13:53.000Z CYCLE: 8/12 localized +2026-02-05T16:14:03.000Z CYCLE: 8/12 localized +2026-02-05T16:14:13.000Z CYCLE: 8/12 localized +2026-02-05T16:14:23.000Z CYCLE: 8/12 localized +2026-02-05T16:14:33.000Z CYCLE: 8/12 localized +2026-02-05T16:14:44.000Z CYCLE: 8/12 localized +2026-02-05T16:14:54.000Z CYCLE: 8/12 localized +2026-02-05T16:15:04.000Z CYCLE: 8/12 localized +2026-02-05T16:15:14.000Z CYCLE: 8/12 localized +2026-02-05T16:15:24.000Z CYCLE: 8/12 localized +2026-02-05T16:15:34.000Z CYCLE: 8/12 localized +2026-02-05T16:15:44.000Z CYCLE: 8/12 localized +2026-02-05T16:15:54.000Z CYCLE: 8/12 localized +2026-02-05T16:16:04.000Z CYCLE: 8/12 localized +2026-02-05T16:16:14.000Z CYCLE: 8/12 localized +2026-02-05T16:16:25.000Z CYCLE: 9/12 localized +2026-02-05T16:16:35.000Z CYCLE: 9/12 localized +2026-02-05T16:16:45.000Z CYCLE: 9/12 localized +2026-02-05T16:16:55.000Z CYCLE: 9/12 localized +2026-02-05T16:17:05.000Z CYCLE: 9/12 localized +2026-02-05T16:17:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T16:17:15.000Z CYCLE: 8/12 localized +2026-02-05T16:17:25.000Z CYCLE: 9/12 localized +2026-02-05T16:17:35.000Z CYCLE: 9/12 localized +2026-02-05T16:17:45.000Z CYCLE: 9/12 localized +2026-02-05T16:17:56.000Z CYCLE: 9/12 localized +2026-02-05T16:18:06.000Z CYCLE: 9/12 localized +2026-02-05T16:18:16.000Z CYCLE: 9/12 localized +2026-02-05T16:18:26.000Z CYCLE: 9/12 localized +2026-02-05T16:18:36.000Z CYCLE: 9/12 localized +2026-02-05T16:18:46.000Z CYCLE: 9/12 localized +2026-02-05T16:18:56.000Z CYCLE: 9/12 localized +2026-02-05T16:19:06.000Z CYCLE: 9/12 localized +2026-02-05T16:19:16.000Z CYCLE: 9/12 localized +2026-02-05T16:19:27.000Z CYCLE: 9/12 localized +2026-02-05T16:19:37.000Z CYCLE: 9/12 localized +2026-02-05T16:19:47.000Z CYCLE: 9/12 localized +2026-02-05T16:19:57.000Z CYCLE: 9/12 localized +2026-02-05T16:20:07.000Z CYCLE: 9/12 localized +2026-02-05T16:20:17.000Z CYCLE: 9/12 localized +2026-02-05T16:20:27.000Z CYCLE: 9/12 localized +2026-02-05T16:20:37.000Z CYCLE: 9/12 localized +2026-02-05T16:20:47.000Z CYCLE: 9/12 localized +2026-02-05T16:20:57.000Z CYCLE: 9/12 localized +2026-02-05T16:21:08.000Z CYCLE: 9/12 localized +2026-02-05T16:21:18.000Z CYCLE: 9/12 localized +2026-02-05T16:21:28.000Z CYCLE: 9/12 localized +2026-02-05T16:21:38.000Z CYCLE: 9/12 localized +2026-02-05T16:21:48.000Z CYCLE: 9/12 localized +2026-02-05T16:21:58.000Z CYCLE: 9/12 localized +2026-02-05T16:22:08.000Z CYCLE: 9/12 localized +2026-02-05T16:22:18.000Z CYCLE: 9/12 localized +2026-02-05T16:22:28.000Z CYCLE: 9/12 localized +2026-02-05T16:22:38.000Z CYCLE: 9/12 localized +2026-02-05T16:22:49.000Z CYCLE: 9/12 localized +2026-02-05T16:22:59.000Z CYCLE: 9/12 localized +2026-02-05T16:23:09.000Z CYCLE: 9/12 localized +2026-02-05T16:23:19.000Z CYCLE: 9/12 localized +2026-02-05T16:23:29.000Z CYCLE: 9/12 localized +2026-02-05T16:23:39.000Z CYCLE: 9/12 localized +2026-02-05T16:23:49.000Z CYCLE: 9/12 localized +2026-02-05T16:23:59.000Z CYCLE: 9/12 localized +2026-02-05T16:24:09.000Z CYCLE: 9/12 localized +2026-02-05T16:24:19.000Z CYCLE: 9/12 localized +2026-02-05T16:24:30.000Z CYCLE: 9/12 localized +2026-02-05T16:24:40.000Z CYCLE: 9/12 localized +2026-02-05T16:24:50.000Z CYCLE: 9/12 localized +2026-02-05T16:25:00.000Z CYCLE: 9/12 localized +2026-02-05T16:25:10.000Z CYCLE: 9/12 localized +2026-02-05T16:25:20.000Z CYCLE: 9/12 localized +2026-02-05T16:25:30.000Z CYCLE: 9/12 localized +2026-02-05T16:25:40.000Z CYCLE: 9/12 localized +2026-02-05T16:25:50.000Z CYCLE: 9/12 localized +2026-02-05T16:26:00.000Z CYCLE: 9/12 localized +2026-02-05T16:26:11.000Z CYCLE: 9/12 localized +2026-02-05T16:26:21.000Z CYCLE: 9/12 localized +2026-02-05T16:26:31.000Z CYCLE: 9/12 localized +2026-02-05T16:26:41.000Z CYCLE: 9/12 localized +2026-02-05T16:26:51.000Z CYCLE: 9/12 localized +2026-02-05T16:27:01.000Z CYCLE: 9/12 localized +2026-02-05T16:27:11.000Z CYCLE: 9/12 localized +2026-02-05T16:27:21.000Z CYCLE: 9/12 localized +2026-02-05T16:27:32.000Z CYCLE: 9/12 localized +2026-02-05T16:27:42.000Z CYCLE: 9/12 localized +2026-02-05T16:27:52.000Z CYCLE: 9/12 localized +2026-02-05T16:28:02.000Z CYCLE: 9/12 localized +2026-02-05T16:28:12.000Z CYCLE: 9/12 localized +2026-02-05T16:28:22.000Z CYCLE: 9/12 localized +2026-02-05T16:28:32.000Z CYCLE: 9/12 localized +2026-02-05T16:28:42.000Z CYCLE: 9/12 localized +2026-02-05T16:28:53.000Z CYCLE: 9/12 localized +2026-02-05T16:29:03.000Z CYCLE: 9/12 localized +2026-02-05T16:29:13.000Z CYCLE: 9/12 localized +2026-02-05T16:29:23.000Z CYCLE: 9/12 localized +2026-02-05T16:29:33.000Z CYCLE: 9/12 localized +2026-02-05T16:29:43.000Z CYCLE: 9/12 localized +2026-02-05T16:29:53.000Z CYCLE: 9/12 localized +2026-02-05T16:30:03.000Z CYCLE: 9/12 localized +2026-02-05T16:30:13.000Z CYCLE: 8/12 localized +2026-02-05T16:30:23.000Z CYCLE: 9/12 localized +2026-02-05T16:30:34.000Z CYCLE: 9/12 localized +2026-02-05T16:30:44.000Z CYCLE: 9/12 localized +2026-02-05T16:30:54.000Z CYCLE: 9/12 localized +2026-02-05T16:31:04.000Z CYCLE: 9/12 localized +2026-02-05T16:31:14.000Z CYCLE: 9/12 localized +2026-02-05T16:31:24.000Z CYCLE: 9/12 localized +2026-02-05T16:31:34.000Z CYCLE: 9/12 localized +2026-02-05T16:31:44.000Z CYCLE: 9/12 localized +2026-02-05T16:31:54.000Z CYCLE: 9/12 localized +2026-02-05T16:32:05.000Z CYCLE: 9/12 localized +2026-02-05T16:32:15.000Z CYCLE: 9/12 localized +2026-02-05T16:32:25.000Z CYCLE: 9/12 localized +2026-02-05T16:32:35.000Z CYCLE: 9/12 localized +2026-02-05T16:32:45.000Z CYCLE: 9/12 localized +2026-02-05T16:32:55.000Z CYCLE: 9/12 localized +2026-02-05T16:33:05.000Z CYCLE: 9/12 localized +2026-02-05T16:33:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T16:33:15.000Z CYCLE: 8/12 localized +2026-02-05T16:33:25.000Z CYCLE: 9/12 localized +2026-02-05T16:33:35.000Z CYCLE: 9/12 localized +2026-02-05T16:33:46.000Z CYCLE: 9/12 localized +2026-02-05T16:33:56.000Z CYCLE: 9/12 localized +2026-02-05T16:34:06.000Z CYCLE: 9/12 localized +2026-02-05T16:34:16.000Z CYCLE: 9/12 localized +2026-02-05T16:34:26.000Z CYCLE: 9/12 localized +2026-02-05T16:34:36.000Z CYCLE: 9/12 localized +2026-02-05T16:34:46.000Z CYCLE: 9/12 localized +2026-02-05T16:34:56.000Z CYCLE: 9/12 localized +2026-02-05T16:35:06.000Z CYCLE: 9/12 localized +2026-02-05T16:35:16.000Z CYCLE: 9/12 localized +2026-02-05T16:35:27.000Z CYCLE: 9/12 localized +2026-02-05T16:35:37.000Z CYCLE: 9/12 localized +2026-02-05T16:35:47.000Z CYCLE: 9/12 localized +2026-02-05T16:35:57.000Z CYCLE: 9/12 localized +2026-02-05T16:36:07.000Z CYCLE: 9/12 localized +2026-02-05T16:36:17.000Z CYCLE: 9/12 localized +2026-02-05T16:36:27.000Z CYCLE: 9/12 localized +2026-02-05T16:36:37.000Z CYCLE: 9/12 localized +2026-02-05T16:36:47.000Z CYCLE: 9/12 localized +2026-02-05T16:36:57.000Z CYCLE: 9/12 localized +2026-02-05T16:37:08.000Z CYCLE: 9/12 localized +2026-02-05T16:37:18.000Z CYCLE: 9/12 localized +2026-02-05T16:37:28.000Z CYCLE: 9/12 localized +2026-02-05T16:37:38.000Z CYCLE: 9/12 localized +2026-02-05T16:37:48.000Z CYCLE: 9/12 localized +2026-02-05T16:37:58.000Z CYCLE: 9/12 localized +2026-02-05T16:38:08.000Z CYCLE: 9/12 localized +2026-02-05T16:38:18.000Z CYCLE: 9/12 localized +2026-02-05T16:38:28.000Z CYCLE: 9/12 localized +2026-02-05T16:38:39.000Z CYCLE: 9/12 localized +2026-02-05T16:38:49.000Z CYCLE: 9/12 localized +2026-02-05T16:38:59.000Z CYCLE: 9/12 localized +2026-02-05T16:39:09.000Z CYCLE: 9/12 localized +2026-02-05T16:39:19.000Z CYCLE: 9/12 localized +2026-02-05T16:39:29.000Z CYCLE: 9/12 localized +2026-02-05T16:39:39.000Z CYCLE: 9/12 localized +2026-02-05T16:39:49.000Z CYCLE: 9/12 localized +2026-02-05T16:39:59.000Z CYCLE: 9/12 localized +2026-02-05T16:40:10.000Z CYCLE: 9/12 localized +2026-02-05T16:40:20.000Z CYCLE: 9/12 localized +2026-02-05T16:40:30.000Z CYCLE: 9/12 localized +2026-02-05T16:40:40.000Z CYCLE: 8/12 localized +2026-02-05T16:40:50.000Z CYCLE: 8/12 localized +2026-02-05T16:41:00.000Z CYCLE: 8/12 localized +2026-02-05T16:41:10.000Z CYCLE: 8/12 localized +2026-02-05T16:41:20.000Z CYCLE: 8/12 localized +2026-02-05T16:41:30.000Z CYCLE: 8/12 localized +2026-02-05T16:41:41.000Z CYCLE: 8/12 localized +2026-02-05T16:41:51.000Z CYCLE: 8/12 localized +2026-02-05T16:42:01.000Z CYCLE: 8/12 localized +2026-02-05T16:42:11.000Z CYCLE: 8/12 localized +2026-02-05T16:42:21.000Z CYCLE: 8/12 localized +2026-02-05T16:42:31.000Z CYCLE: 8/12 localized +2026-02-05T16:42:41.000Z CYCLE: 8/12 localized +2026-02-05T16:42:51.000Z CYCLE: 8/12 localized +2026-02-05T16:43:01.000Z CYCLE: 8/12 localized +2026-02-05T16:43:11.000Z CYCLE: 8/12 localized +2026-02-05T16:43:22.000Z CYCLE: 8/12 localized +2026-02-05T16:43:32.000Z CYCLE: 8/12 localized +2026-02-05T16:43:42.000Z CYCLE: 8/12 localized +2026-02-05T16:43:52.000Z CYCLE: 8/12 localized +2026-02-05T16:44:02.000Z CYCLE: 8/12 localized +2026-02-05T16:44:12.000Z CYCLE: 8/12 localized +2026-02-05T16:44:22.000Z CYCLE: 8/12 localized +2026-02-05T16:44:32.000Z CYCLE: 8/12 localized +2026-02-05T16:44:42.000Z CYCLE: 8/12 localized +2026-02-05T16:44:53.000Z CYCLE: 8/12 localized +2026-02-05T16:45:03.000Z CYCLE: 8/12 localized +2026-02-05T16:45:13.000Z CYCLE: 8/12 localized +2026-02-05T16:45:23.000Z CYCLE: 8/12 localized +2026-02-05T16:45:33.000Z CYCLE: 9/12 localized +2026-02-05T16:45:43.000Z CYCLE: 9/12 localized +2026-02-05T16:45:53.000Z CYCLE: 9/12 localized +2026-02-05T16:46:03.000Z CYCLE: 9/12 localized +2026-02-05T16:46:13.000Z CYCLE: 9/12 localized +2026-02-05T16:46:24.000Z CYCLE: 9/12 localized +2026-02-05T16:46:34.000Z CYCLE: 9/12 localized +2026-02-05T16:46:44.000Z CYCLE: 9/12 localized +2026-02-05T16:46:54.000Z CYCLE: 9/12 localized +2026-02-05T16:47:04.000Z CYCLE: 9/12 localized +2026-02-05T16:47:14.000Z CYCLE: 9/12 localized +2026-02-05T16:47:24.000Z CYCLE: 9/12 localized +2026-02-05T16:47:34.000Z CYCLE: 9/12 localized +2026-02-05T16:47:44.000Z CYCLE: 9/12 localized +2026-02-05T16:47:55.000Z CYCLE: 9/12 localized +2026-02-05T16:48:05.000Z CYCLE: 9/12 localized +2026-02-05T16:48:15.000Z CYCLE: 9/12 localized +2026-02-05T16:48:25.000Z CYCLE: 9/12 localized +2026-02-05T16:48:35.000Z CYCLE: 9/12 localized +2026-02-05T16:48:45.000Z CYCLE: 9/12 localized +2026-02-05T16:48:55.000Z CYCLE: 9/12 localized +2026-02-05T16:49:05.000Z CYCLE: 9/12 localized +2026-02-05T16:49:15.000Z CYCLE: 9/12 localized +2026-02-05T16:49:26.000Z CYCLE: 9/12 localized +2026-02-05T16:49:36.000Z CYCLE: 9/12 localized +2026-02-05T16:49:46.000Z CYCLE: 9/12 localized +2026-02-05T16:49:56.000Z CYCLE: 9/12 localized +2026-02-05T16:50:06.000Z CYCLE: 9/12 localized +2026-02-05T16:50:16.000Z CYCLE: 9/12 localized +2026-02-05T16:50:26.000Z CYCLE: 9/12 localized +2026-02-05T16:50:36.000Z CYCLE: 9/12 localized +2026-02-05T16:50:46.000Z CYCLE: 9/12 localized +2026-02-05T16:50:57.000Z CYCLE: 9/12 localized +2026-02-05T16:51:07.000Z CYCLE: 9/12 localized +2026-02-05T16:51:17.000Z CYCLE: 9/12 localized +2026-02-05T16:51:27.000Z CYCLE: 9/12 localized +2026-02-05T16:51:37.000Z CYCLE: 9/12 localized +2026-02-05T16:51:47.000Z CYCLE: 9/12 localized +2026-02-05T16:51:57.000Z CYCLE: 9/12 localized +2026-02-05T16:52:07.000Z CYCLE: 9/12 localized +2026-02-05T16:52:17.000Z CYCLE: 9/12 localized +2026-02-05T16:52:27.000Z CYCLE: 9/12 localized +2026-02-05T16:52:38.000Z CYCLE: 9/12 localized +2026-02-05T16:52:48.000Z CYCLE: 9/12 localized +2026-02-05T16:52:58.000Z CYCLE: 9/12 localized +2026-02-05T16:53:08.000Z CYCLE: 9/12 localized +2026-02-05T16:53:18.000Z CYCLE: 9/12 localized +2026-02-05T16:53:28.000Z CYCLE: 9/12 localized +2026-02-05T16:53:38.000Z CYCLE: 9/12 localized +2026-02-05T16:53:48.000Z CYCLE: 9/12 localized +2026-02-05T16:53:58.000Z CYCLE: 9/12 localized +2026-02-05T16:54:09.000Z CYCLE: 9/12 localized +2026-02-05T16:54:19.000Z CYCLE: 9/12 localized +2026-02-05T16:54:29.000Z CYCLE: 9/12 localized +2026-02-05T16:54:39.000Z CYCLE: 9/12 localized +2026-02-05T16:54:49.000Z CYCLE: 9/12 localized +2026-02-05T16:54:59.000Z CYCLE: 9/12 localized +2026-02-05T16:55:09.000Z CYCLE: 9/12 localized +2026-02-05T16:55:19.000Z CYCLE: 9/12 localized +2026-02-05T16:55:29.000Z CYCLE: 9/12 localized +2026-02-05T16:55:39.000Z CYCLE: 9/12 localized +2026-02-05T16:55:50.000Z CYCLE: 9/12 localized +2026-02-05T16:56:00.000Z CYCLE: 9/12 localized +2026-02-05T16:56:10.000Z CYCLE: 9/12 localized +2026-02-05T16:56:20.000Z CYCLE: 9/12 localized +2026-02-05T16:56:30.000Z CYCLE: 9/12 localized +2026-02-05T16:56:40.000Z CYCLE: 9/12 localized +2026-02-05T16:56:50.000Z CYCLE: 9/12 localized +2026-02-05T16:57:00.000Z CYCLE: 9/12 localized +2026-02-05T16:57:10.000Z CYCLE: 9/12 localized +2026-02-05T16:57:21.000Z CYCLE: 9/12 localized +2026-02-05T16:57:31.000Z CYCLE: 9/12 localized +2026-02-05T16:57:41.000Z CYCLE: 9/12 localized +2026-02-05T16:57:51.000Z CYCLE: 9/12 localized +2026-02-05T16:58:01.000Z CYCLE: 9/12 localized +2026-02-05T16:58:11.000Z CYCLE: 9/12 localized +2026-02-05T16:58:21.000Z CYCLE: 9/12 localized +2026-02-05T16:58:31.000Z CYCLE: 9/12 localized +2026-02-05T16:58:41.000Z CYCLE: 9/12 localized +2026-02-05T16:58:51.000Z CYCLE: 9/12 localized +2026-02-05T16:59:02.000Z CYCLE: 9/12 localized +2026-02-05T16:59:12.000Z CYCLE: 9/12 localized +2026-02-05T16:59:22.000Z CYCLE: 9/12 localized +2026-02-05T16:59:32.000Z CYCLE: 9/12 localized +2026-02-05T16:59:42.000Z CYCLE: 9/12 localized +2026-02-05T16:59:52.000Z CYCLE: 9/12 localized +2026-02-05T17:00:02.000Z CYCLE: 9/12 localized +2026-02-05T17:00:12.000Z CYCLE: 9/12 localized +2026-02-05T17:00:22.000Z CYCLE: 9/12 localized +2026-02-05T17:00:32.000Z CYCLE: 9/12 localized +2026-02-05T17:00:43.000Z CYCLE: 9/12 localized +2026-02-05T17:00:53.000Z CYCLE: 9/12 localized +2026-02-05T17:01:03.000Z CYCLE: 9/12 localized +2026-02-05T17:01:13.000Z CYCLE: 9/12 localized +2026-02-05T17:01:23.000Z CYCLE: 9/12 localized +2026-02-05T17:01:33.000Z CYCLE: 9/12 localized +2026-02-05T17:01:43.000Z CYCLE: 9/12 localized +2026-02-05T17:01:53.000Z CYCLE: 9/12 localized +2026-02-05T17:02:03.000Z CYCLE: 9/12 localized +2026-02-05T17:02:13.000Z CYCLE: 9/12 localized +2026-02-05T17:02:24.000Z CYCLE: 9/12 localized +2026-02-05T17:02:34.000Z CYCLE: 9/12 localized +2026-02-05T17:02:44.000Z CYCLE: 9/12 localized +2026-02-05T17:02:54.000Z CYCLE: 9/12 localized +2026-02-05T17:03:04.000Z CYCLE: 9/12 localized +2026-02-05T17:03:14.000Z CYCLE: 9/12 localized +2026-02-05T17:03:24.000Z CYCLE: 9/12 localized +2026-02-05T17:03:34.000Z CYCLE: 9/12 localized +2026-02-05T17:03:44.000Z CYCLE: 9/12 localized +2026-02-05T17:03:54.000Z CYCLE: 9/12 localized +2026-02-05T17:04:04.000Z CYCLE: 9/12 localized +2026-02-05T17:04:15.000Z CYCLE: 9/12 localized +2026-02-05T17:04:25.000Z CYCLE: 9/12 localized +2026-02-05T17:04:35.000Z CYCLE: 9/12 localized +2026-02-05T17:04:45.000Z CYCLE: 9/12 localized +2026-02-05T17:04:55.000Z CYCLE: 9/12 localized +2026-02-05T17:05:05.000Z CYCLE: 9/12 localized +2026-02-05T17:05:15.000Z CYCLE: 9/12 localized +2026-02-05T17:05:25.000Z CYCLE: 9/12 localized +2026-02-05T17:05:35.000Z CYCLE: 9/12 localized +2026-02-05T17:05:45.000Z CYCLE: 9/12 localized +2026-02-05T17:05:55.000Z CYCLE: 9/12 localized +2026-02-05T17:06:06.000Z CYCLE: 9/12 localized +2026-02-05T17:06:16.000Z CYCLE: 9/12 localized +2026-02-05T17:06:26.000Z CYCLE: 9/12 localized +2026-02-05T17:06:36.000Z CYCLE: 9/12 localized +2026-02-05T17:06:46.000Z CYCLE: 9/12 localized +2026-02-05T17:06:56.000Z CYCLE: 9/12 localized +2026-02-05T17:07:06.000Z CYCLE: 9/12 localized +2026-02-05T17:07:16.000Z CYCLE: 9/12 localized +2026-02-05T17:07:26.000Z CYCLE: 9/12 localized +2026-02-05T17:07:36.000Z CYCLE: 9/12 localized +2026-02-05T17:07:46.000Z CYCLE: 9/12 localized +2026-02-05T17:07:57.000Z CYCLE: 9/12 localized +2026-02-05T17:08:07.000Z CYCLE: 9/12 localized +2026-02-05T17:08:17.000Z CYCLE: 9/12 localized +2026-02-05T17:08:27.000Z CYCLE: 9/12 localized +2026-02-05T17:08:37.000Z CYCLE: 9/12 localized +2026-02-05T17:08:47.000Z CYCLE: 9/12 localized +2026-02-05T17:08:57.000Z CYCLE: 9/12 localized +2026-02-05T17:09:07.000Z CYCLE: 9/12 localized +2026-02-05T17:09:17.000Z CYCLE: 9/12 localized +2026-02-05T17:09:27.000Z CYCLE: 9/12 localized +2026-02-05T17:09:37.000Z CYCLE: 9/12 localized +2026-02-05T17:09:48.000Z CYCLE: 9/12 localized +2026-02-05T17:09:58.000Z CYCLE: 9/12 localized +2026-02-05T17:10:08.000Z CYCLE: 9/12 localized +2026-02-05T17:10:18.000Z CYCLE: 9/12 localized +2026-02-05T17:10:28.000Z CYCLE: 9/12 localized +2026-02-05T17:10:38.000Z CYCLE: 9/12 localized +2026-02-05T17:10:48.000Z CYCLE: 9/12 localized +2026-02-05T17:10:58.000Z CYCLE: 9/12 localized +2026-02-05T17:11:08.000Z CYCLE: 9/12 localized +2026-02-05T17:11:18.000Z CYCLE: 9/12 localized +2026-02-05T17:11:28.000Z CYCLE: 9/12 localized +2026-02-05T17:11:39.000Z CYCLE: 9/12 localized +2026-02-05T17:11:49.000Z CYCLE: 9/12 localized +2026-02-05T17:11:59.000Z CYCLE: 9/12 localized +2026-02-05T17:12:09.000Z CYCLE: 9/12 localized +2026-02-05T17:12:19.000Z CYCLE: 9/12 localized +2026-02-05T17:12:29.000Z CYCLE: 9/12 localized +2026-02-05T17:12:39.000Z CYCLE: 9/12 localized +2026-02-05T17:12:49.000Z CYCLE: 9/12 localized +2026-02-05T17:12:59.000Z CYCLE: 9/12 localized +2026-02-05T17:13:09.000Z CYCLE: 9/12 localized +2026-02-05T17:13:19.000Z CYCLE: 9/12 localized +2026-02-05T17:13:30.000Z CYCLE: 9/12 localized +2026-02-05T17:13:40.000Z CYCLE: 9/12 localized +2026-02-05T17:13:50.000Z CYCLE: 9/12 localized +2026-02-05T17:14:00.000Z CYCLE: 9/12 localized +2026-02-05T17:14:10.000Z CYCLE: 9/12 localized +2026-02-05T17:14:20.000Z CYCLE: 9/12 localized +2026-02-05T17:14:30.000Z CYCLE: 9/12 localized +2026-02-05T17:14:40.000Z CYCLE: 9/12 localized +2026-02-05T17:14:50.000Z CYCLE: 9/12 localized +2026-02-05T17:15:00.000Z CYCLE: 9/12 localized +2026-02-05T17:15:10.000Z CYCLE: 9/12 localized +2026-02-05T17:15:20.000Z CYCLE: 9/12 localized +2026-02-05T17:15:30.000Z CYCLE: 9/12 localized +2026-02-05T17:15:41.000Z CYCLE: 9/12 localized +2026-02-05T17:15:51.000Z CYCLE: 9/12 localized +2026-02-05T17:16:01.000Z CYCLE: 9/12 localized +2026-02-05T17:16:11.000Z CYCLE: 9/12 localized +2026-02-05T17:16:21.000Z CYCLE: 9/12 localized +2026-02-05T17:16:31.000Z CYCLE: 9/12 localized +2026-02-05T17:16:41.000Z CYCLE: 9/12 localized +2026-02-05T17:16:51.000Z CYCLE: 9/12 localized +2026-02-05T17:17:01.000Z CYCLE: 9/12 localized +2026-02-05T17:17:11.000Z CYCLE: 9/12 localized +2026-02-05T17:17:21.000Z CYCLE: 9/12 localized +2026-02-05T17:17:31.000Z CYCLE: 9/12 localized +2026-02-05T17:17:41.000Z CYCLE: 9/12 localized +2026-02-05T17:17:52.000Z CYCLE: 9/12 localized +2026-02-05T17:18:02.000Z CYCLE: 9/12 localized +2026-02-05T17:18:12.000Z CYCLE: 9/12 localized +2026-02-05T17:18:22.000Z CYCLE: 9/12 localized +2026-02-05T17:18:32.000Z CYCLE: 9/12 localized +2026-02-05T17:18:42.000Z CYCLE: 9/12 localized +2026-02-05T17:18:52.000Z CYCLE: 9/12 localized +2026-02-05T17:19:02.000Z CYCLE: 9/12 localized +2026-02-05T17:19:12.000Z CYCLE: 9/12 localized +2026-02-05T17:19:22.000Z CYCLE: 9/12 localized +2026-02-05T17:19:32.000Z CYCLE: 9/12 localized +2026-02-05T17:19:42.000Z CYCLE: 9/12 localized +2026-02-05T17:19:53.000Z CYCLE: 9/12 localized +2026-02-05T17:20:03.000Z CYCLE: 9/12 localized +2026-02-05T17:20:13.000Z CYCLE: 9/12 localized +2026-02-05T17:20:23.000Z CYCLE: 9/12 localized +2026-02-05T17:20:33.000Z CYCLE: 9/12 localized +2026-02-05T17:20:43.000Z CYCLE: 9/12 localized +2026-02-05T17:20:53.000Z CYCLE: 9/12 localized +2026-02-05T17:21:03.000Z CYCLE: 9/12 localized +2026-02-05T17:21:13.000Z CYCLE: 9/12 localized +2026-02-05T17:21:23.000Z CYCLE: 9/12 localized +2026-02-05T17:21:33.000Z CYCLE: 9/12 localized +2026-02-05T17:21:43.000Z CYCLE: 9/12 localized +2026-02-05T17:21:54.000Z CYCLE: 9/12 localized +2026-02-05T17:22:04.000Z CYCLE: 9/12 localized +2026-02-05T17:22:14.000Z CYCLE: 9/12 localized +2026-02-05T17:22:24.000Z CYCLE: 9/12 localized +2026-02-05T17:22:34.000Z CYCLE: 9/12 localized +2026-02-05T17:22:44.000Z CYCLE: 9/12 localized +2026-02-05T17:22:54.000Z CYCLE: 9/12 localized +2026-02-05T17:23:04.000Z CYCLE: 9/12 localized +2026-02-05T17:23:14.000Z CYCLE: 9/12 localized +2026-02-05T17:23:24.000Z CYCLE: 9/12 localized +2026-02-05T17:23:34.000Z CYCLE: 9/12 localized +2026-02-05T17:23:44.000Z CYCLE: 9/12 localized +2026-02-05T17:23:54.000Z CYCLE: 9/12 localized +2026-02-05T17:24:05.000Z CYCLE: 9/12 localized +2026-02-05T17:24:15.000Z CYCLE: 9/12 localized +2026-02-05T17:24:25.000Z CYCLE: 9/12 localized +2026-02-05T17:24:35.000Z CYCLE: 9/12 localized +2026-02-05T17:24:45.000Z CYCLE: 9/12 localized +2026-02-05T17:24:55.000Z CYCLE: 9/12 localized +2026-02-05T17:25:05.000Z CYCLE: 9/12 localized +2026-02-05T17:25:15.000Z CYCLE: 9/12 localized +2026-02-05T17:25:25.000Z CYCLE: 9/12 localized +2026-02-05T17:25:35.000Z CYCLE: 9/12 localized +2026-02-05T17:25:45.000Z CYCLE: 9/12 localized +2026-02-05T17:25:55.000Z CYCLE: 9/12 localized +2026-02-05T17:26:06.000Z CYCLE: 9/12 localized +2026-02-05T17:26:16.000Z CYCLE: 9/12 localized +2026-02-05T17:26:26.000Z CYCLE: 9/12 localized +2026-02-05T17:26:36.000Z CYCLE: 9/12 localized +2026-02-05T17:26:46.000Z CYCLE: 9/12 localized +2026-02-05T17:26:56.000Z CYCLE: 9/12 localized +2026-02-05T17:27:06.000Z CYCLE: 9/12 localized +2026-02-05T17:27:16.000Z CYCLE: 9/12 localized +2026-02-05T17:27:26.000Z CYCLE: 9/12 localized +2026-02-05T17:27:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T17:27:36.000Z CYCLE: 8/12 localized +2026-02-05T17:27:46.000Z CYCLE: 9/12 localized +2026-02-05T17:27:56.000Z CYCLE: 9/12 localized +2026-02-05T17:28:06.000Z CYCLE: 9/12 localized +2026-02-05T17:28:16.000Z CYCLE: 9/12 localized +2026-02-05T17:28:27.000Z CYCLE: 9/12 localized +2026-02-05T17:28:37.000Z CYCLE: 9/12 localized +2026-02-05T17:28:47.000Z CYCLE: 9/12 localized +2026-02-05T17:28:57.000Z CYCLE: 9/12 localized +2026-02-05T17:29:07.000Z CYCLE: 9/12 localized +2026-02-05T17:29:17.000Z CYCLE: 9/12 localized +2026-02-05T17:29:27.000Z CYCLE: 9/12 localized +2026-02-05T17:29:37.000Z CYCLE: 9/12 localized +2026-02-05T17:29:47.000Z CYCLE: 9/12 localized +2026-02-05T17:29:57.000Z CYCLE: 9/12 localized +2026-02-05T17:30:07.000Z CYCLE: 9/12 localized +2026-02-05T17:30:17.000Z CYCLE: 9/12 localized +2026-02-05T17:30:27.000Z CYCLE: 9/12 localized +2026-02-05T17:30:38.000Z CYCLE: 9/12 localized +2026-02-05T17:30:48.000Z CYCLE: 9/12 localized +2026-02-05T17:30:58.000Z CYCLE: 9/12 localized +2026-02-05T17:31:08.000Z CYCLE: 9/12 localized +2026-02-05T17:31:18.000Z CYCLE: 9/12 localized +2026-02-05T17:31:28.000Z CYCLE: 9/12 localized +2026-02-05T17:31:38.000Z CYCLE: 9/12 localized +2026-02-05T17:31:48.000Z CYCLE: 9/12 localized +2026-02-05T17:31:58.000Z CYCLE: 9/12 localized +2026-02-05T17:32:08.000Z CYCLE: 9/12 localized +2026-02-05T17:32:18.000Z CYCLE: 9/12 localized +2026-02-05T17:32:28.000Z CYCLE: 9/12 localized +2026-02-05T17:32:39.000Z CYCLE: 9/12 localized +2026-02-05T17:32:49.000Z CYCLE: 9/12 localized +2026-02-05T17:32:59.000Z CYCLE: 9/12 localized +2026-02-05T17:33:09.000Z CYCLE: 9/12 localized +2026-02-05T17:33:19.000Z CYCLE: 9/12 localized +2026-02-05T17:33:29.000Z CYCLE: 9/12 localized +2026-02-05T17:33:39.000Z CYCLE: 9/12 localized +2026-02-05T17:33:49.000Z CYCLE: 9/12 localized +2026-02-05T17:33:59.000Z CYCLE: 9/12 localized +2026-02-05T17:34:09.000Z CYCLE: 9/12 localized +2026-02-05T17:34:19.000Z CYCLE: 9/12 localized +2026-02-05T17:34:29.000Z CYCLE: 9/12 localized +2026-02-05T17:34:39.000Z CYCLE: 9/12 localized +2026-02-05T17:34:49.000Z CYCLE: 9/12 localized +2026-02-05T17:35:00.000Z CYCLE: 9/12 localized +2026-02-05T17:35:10.000Z CYCLE: 9/12 localized +2026-02-05T17:35:20.000Z CYCLE: 9/12 localized +2026-02-05T17:35:30.000Z CYCLE: 9/12 localized +2026-02-05T17:35:40.000Z CYCLE: 9/12 localized +2026-02-05T17:35:50.000Z CYCLE: 9/12 localized +2026-02-05T17:36:00.000Z CYCLE: 9/12 localized +2026-02-05T17:36:10.000Z CYCLE: 9/12 localized +2026-02-05T17:36:20.000Z CYCLE: 9/12 localized +2026-02-05T17:36:30.000Z CYCLE: 9/12 localized +2026-02-05T17:36:40.000Z CYCLE: 9/12 localized +2026-02-05T17:36:50.000Z CYCLE: 9/12 localized +2026-02-05T17:37:00.000Z CYCLE: 9/12 localized +2026-02-05T17:37:11.000Z CYCLE: 9/12 localized +2026-02-05T17:37:21.000Z CYCLE: 9/12 localized +2026-02-05T17:37:31.000Z CYCLE: 9/12 localized +2026-02-05T17:37:41.000Z CYCLE: 9/12 localized +2026-02-05T17:37:51.000Z CYCLE: 9/12 localized +2026-02-05T17:38:01.000Z CYCLE: 9/12 localized +2026-02-05T17:38:11.000Z CYCLE: 9/12 localized +2026-02-05T17:38:21.000Z CYCLE: 9/12 localized +2026-02-05T17:38:31.000Z CYCLE: 9/12 localized +2026-02-05T17:38:41.000Z CYCLE: 9/12 localized +2026-02-05T17:38:51.000Z CYCLE: 9/12 localized +2026-02-05T17:39:01.000Z CYCLE: 9/12 localized +2026-02-05T17:39:12.000Z CYCLE: 9/12 localized +2026-02-05T17:39:22.000Z CYCLE: 9/12 localized +2026-02-05T17:39:32.000Z CYCLE: 9/12 localized +2026-02-05T17:39:42.000Z CYCLE: 9/12 localized +2026-02-05T17:39:52.000Z CYCLE: 9/12 localized +2026-02-05T17:40:02.000Z CYCLE: 9/12 localized +2026-02-05T17:40:12.000Z CYCLE: 9/12 localized +2026-02-05T17:40:22.000Z CYCLE: 9/12 localized +2026-02-05T17:40:32.000Z CYCLE: 9/12 localized +2026-02-05T17:40:42.000Z CYCLE: 9/12 localized +2026-02-05T17:40:52.000Z CYCLE: 9/12 localized +2026-02-05T17:41:02.000Z CYCLE: 9/12 localized +2026-02-05T17:41:12.000Z CYCLE: 9/12 localized +2026-02-05T17:41:23.000Z CYCLE: 9/12 localized +2026-02-05T17:41:33.000Z CYCLE: 9/12 localized +2026-02-05T17:41:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T17:41:43.000Z CYCLE: 8/12 localized +2026-02-05T17:41:53.000Z CYCLE: 9/12 localized +2026-02-05T17:42:03.000Z CYCLE: 9/12 localized +2026-02-05T17:42:13.000Z CYCLE: 9/12 localized +2026-02-05T17:42:23.000Z CYCLE: 9/12 localized +2026-02-05T17:42:33.000Z CYCLE: 9/12 localized +2026-02-05T17:42:43.000Z CYCLE: 9/12 localized +2026-02-05T17:42:53.000Z CYCLE: 9/12 localized +2026-02-05T17:43:03.000Z CYCLE: 9/12 localized +2026-02-05T17:43:13.000Z CYCLE: 9/12 localized +2026-02-05T17:43:24.000Z CYCLE: 9/12 localized +2026-02-05T17:43:34.000Z CYCLE: 9/12 localized +2026-02-05T17:43:44.000Z CYCLE: 9/12 localized +2026-02-05T17:43:54.000Z CYCLE: 9/12 localized +2026-02-05T17:44:04.000Z CYCLE: 9/12 localized +2026-02-05T17:44:14.000Z CYCLE: 9/12 localized +2026-02-05T17:44:24.000Z CYCLE: 9/12 localized +2026-02-05T17:44:34.000Z CYCLE: 9/12 localized +2026-02-05T17:44:44.000Z CYCLE: 9/12 localized +2026-02-05T17:44:54.000Z CYCLE: 9/12 localized +2026-02-05T17:45:04.000Z CYCLE: 9/12 localized +2026-02-05T17:45:14.000Z CYCLE: 9/12 localized +2026-02-05T17:45:24.000Z CYCLE: 9/12 localized +2026-02-05T17:45:34.000Z CYCLE: 9/12 localized +2026-02-05T17:45:45.000Z CYCLE: 9/12 localized +2026-02-05T17:45:55.000Z CYCLE: 9/12 localized +2026-02-05T17:46:05.000Z CYCLE: 9/12 localized +2026-02-05T17:46:15.000Z CYCLE: 9/12 localized +2026-02-05T17:46:25.000Z CYCLE: 9/12 localized +2026-02-05T17:46:35.000Z CYCLE: 9/12 localized +2026-02-05T17:46:45.000Z CYCLE: 9/12 localized +2026-02-05T17:46:55.000Z CYCLE: 9/12 localized +2026-02-05T17:47:05.000Z CYCLE: 9/12 localized +2026-02-05T17:47:15.000Z CYCLE: 9/12 localized +2026-02-05T17:47:25.000Z CYCLE: 9/12 localized +2026-02-05T17:47:35.000Z CYCLE: 9/12 localized +2026-02-05T17:47:46.000Z CYCLE: 9/12 localized +2026-02-05T17:47:56.000Z CYCLE: 9/12 localized +2026-02-05T17:48:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T17:48:06.000Z CYCLE: 8/12 localized +2026-02-05T17:48:16.000Z CYCLE: 9/12 localized +2026-02-05T17:48:26.000Z CYCLE: 9/12 localized +2026-02-05T17:48:36.000Z CYCLE: 9/12 localized +2026-02-05T17:48:46.000Z CYCLE: 9/12 localized +2026-02-05T17:48:56.000Z CYCLE: 9/12 localized +2026-02-05T17:49:06.000Z CYCLE: 9/12 localized +2026-02-05T17:49:16.000Z CYCLE: 9/12 localized +2026-02-05T17:49:26.000Z CYCLE: 9/12 localized +2026-02-05T17:49:36.000Z CYCLE: 9/12 localized +2026-02-05T17:49:46.000Z CYCLE: 9/12 localized +2026-02-05T17:49:57.000Z CYCLE: 9/12 localized +2026-02-05T17:50:07.000Z CYCLE: 9/12 localized +2026-02-05T17:50:17.000Z CYCLE: 9/12 localized +2026-02-05T17:50:27.000Z CYCLE: 9/12 localized +2026-02-05T17:50:37.000Z CYCLE: 9/12 localized +2026-02-05T17:50:47.000Z CYCLE: 9/12 localized +2026-02-05T17:50:57.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T17:50:57.000Z CYCLE: 8/12 localized +2026-02-05T17:51:07.000Z CYCLE: 9/12 localized +2026-02-05T17:51:17.000Z CYCLE: 9/12 localized +2026-02-05T17:51:27.000Z CYCLE: 9/12 localized +2026-02-05T17:51:37.000Z CYCLE: 9/12 localized +2026-02-05T17:51:47.000Z CYCLE: 9/12 localized +2026-02-05T17:51:57.000Z CYCLE: 9/12 localized +2026-02-05T17:52:08.000Z CYCLE: 9/12 localized +2026-02-05T17:52:18.000Z CYCLE: 9/12 localized +2026-02-05T17:52:28.000Z CYCLE: 9/12 localized +2026-02-05T17:52:38.000Z CYCLE: 9/12 localized +2026-02-05T17:52:48.000Z CYCLE: 9/12 localized +2026-02-05T17:52:58.000Z CYCLE: 9/12 localized +2026-02-05T17:53:08.000Z CYCLE: 9/12 localized +2026-02-05T17:53:18.000Z CYCLE: 9/12 localized +2026-02-05T17:53:28.000Z CYCLE: 9/12 localized +2026-02-05T17:53:38.000Z CYCLE: 9/12 localized +2026-02-05T17:53:48.000Z CYCLE: 9/12 localized +2026-02-05T17:53:58.000Z CYCLE: 9/12 localized +2026-02-05T17:54:08.000Z CYCLE: 9/12 localized +2026-02-05T17:54:19.000Z CYCLE: 9/12 localized +2026-02-05T17:54:29.000Z CYCLE: 9/12 localized +2026-02-05T17:54:39.000Z CYCLE: 9/12 localized +2026-02-05T17:54:49.000Z CYCLE: 9/12 localized +2026-02-05T17:54:59.000Z CYCLE: 9/12 localized +2026-02-05T17:55:09.000Z CYCLE: 9/12 localized +2026-02-05T17:55:19.000Z CYCLE: 9/12 localized +2026-02-05T17:55:29.000Z CYCLE: 9/12 localized +2026-02-05T17:55:39.000Z CYCLE: 9/12 localized +2026-02-05T17:55:49.000Z CYCLE: 9/12 localized +2026-02-05T17:55:59.000Z CYCLE: 9/12 localized +2026-02-05T17:56:10.000Z CYCLE: 9/12 localized +2026-02-05T17:56:20.000Z CYCLE: 9/12 localized +2026-02-05T17:56:30.000Z CYCLE: 9/12 localized +2026-02-05T17:56:40.000Z CYCLE: 9/12 localized +2026-02-05T17:56:50.000Z CYCLE: 9/12 localized +2026-02-05T17:57:00.000Z CYCLE: 9/12 localized +2026-02-05T17:57:10.000Z CYCLE: 9/12 localized +2026-02-05T17:57:20.000Z CYCLE: 9/12 localized +2026-02-05T17:57:30.000Z CYCLE: 9/12 localized +2026-02-05T17:57:40.000Z CYCLE: 9/12 localized +2026-02-05T17:57:50.000Z CYCLE: 9/12 localized +2026-02-05T17:58:00.000Z CYCLE: 9/12 localized +2026-02-05T17:58:10.000Z CYCLE: 9/12 localized +2026-02-05T17:58:21.000Z CYCLE: 9/12 localized +2026-02-05T17:58:31.000Z CYCLE: 9/12 localized +2026-02-05T17:58:41.000Z CYCLE: 9/12 localized +2026-02-05T17:58:51.000Z CYCLE: 9/12 localized +2026-02-05T17:59:01.000Z CYCLE: 9/12 localized +2026-02-05T17:59:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T17:59:11.000Z CYCLE: 8/12 localized +2026-02-05T17:59:21.000Z CYCLE: 9/12 localized +2026-02-05T17:59:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T17:59:31.000Z CYCLE: 8/12 localized +2026-02-05T17:59:41.000Z CYCLE: 9/12 localized +2026-02-05T17:59:51.000Z CYCLE: 9/12 localized +2026-02-05T18:00:01.000Z CYCLE: 9/12 localized +2026-02-05T18:00:11.000Z CYCLE: 9/12 localized +2026-02-05T18:00:21.000Z CYCLE: 9/12 localized +2026-02-05T18:00:31.000Z CYCLE: 9/12 localized +2026-02-05T18:00:41.000Z CYCLE: 9/12 localized +2026-02-05T18:00:52.000Z CYCLE: 9/12 localized +2026-02-05T18:01:02.000Z CYCLE: 9/12 localized +2026-02-05T18:01:12.000Z CYCLE: 9/12 localized +2026-02-05T18:01:22.000Z CYCLE: 9/12 localized +2026-02-05T18:01:32.000Z CYCLE: 9/12 localized +2026-02-05T18:01:42.000Z CYCLE: 9/12 localized +2026-02-05T18:01:52.000Z CYCLE: 9/12 localized +2026-02-05T18:02:02.000Z CYCLE: 9/12 localized +2026-02-05T18:02:12.000Z CYCLE: 9/12 localized +2026-02-05T18:02:22.000Z CYCLE: 9/12 localized +2026-02-05T18:02:32.000Z CYCLE: 9/12 localized +2026-02-05T18:02:42.000Z CYCLE: 9/12 localized +2026-02-05T18:02:52.000Z CYCLE: 9/12 localized +2026-02-05T18:03:03.000Z CYCLE: 9/12 localized +2026-02-05T18:03:13.000Z CYCLE: 9/12 localized +2026-02-05T18:03:23.000Z CYCLE: 9/12 localized +2026-02-05T18:03:33.000Z CYCLE: 9/12 localized +2026-02-05T18:03:43.000Z CYCLE: 9/12 localized +2026-02-05T18:03:53.000Z CYCLE: 9/12 localized +2026-02-05T18:04:03.000Z CYCLE: 9/12 localized +2026-02-05T18:04:13.000Z CYCLE: 9/12 localized +2026-02-05T18:04:23.000Z CYCLE: 9/12 localized +2026-02-05T18:04:33.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:04:33.000Z CYCLE: 8/12 localized +2026-02-05T18:04:43.000Z CYCLE: 9/12 localized +2026-02-05T18:04:53.000Z CYCLE: 9/12 localized +2026-02-05T18:05:03.000Z CYCLE: 9/12 localized +2026-02-05T18:05:13.000Z CYCLE: 9/12 localized +2026-02-05T18:05:23.000Z CYCLE: 9/12 localized +2026-02-05T18:05:33.000Z CYCLE: 9/12 localized +2026-02-05T18:05:44.000Z CYCLE: 9/12 localized +2026-02-05T18:05:54.000Z CYCLE: 9/12 localized +2026-02-05T18:06:04.000Z CYCLE: 9/12 localized +2026-02-05T18:06:14.000Z CYCLE: 9/12 localized +2026-02-05T18:06:24.000Z CYCLE: 9/12 localized +2026-02-05T18:06:34.000Z CYCLE: 9/12 localized +2026-02-05T18:06:44.000Z CYCLE: 9/12 localized +2026-02-05T18:06:54.000Z CYCLE: 9/12 localized +2026-02-05T18:07:04.000Z CYCLE: 9/12 localized +2026-02-05T18:07:14.000Z CYCLE: 9/12 localized +2026-02-05T18:07:24.000Z CYCLE: 9/12 localized +2026-02-05T18:07:34.000Z CYCLE: 9/12 localized +2026-02-05T18:07:44.000Z CYCLE: 9/12 localized +2026-02-05T18:07:54.000Z CYCLE: 9/12 localized +2026-02-05T18:08:04.000Z CYCLE: 9/12 localized +2026-02-05T18:08:14.000Z CYCLE: 9/12 localized +2026-02-05T18:08:25.000Z CYCLE: 9/12 localized +2026-02-05T18:08:35.000Z CYCLE: 9/12 localized +2026-02-05T18:08:45.000Z CYCLE: 9/12 localized +2026-02-05T18:08:55.000Z CYCLE: 9/12 localized +2026-02-05T18:09:05.000Z CYCLE: 9/12 localized +2026-02-05T18:09:15.000Z CYCLE: 9/12 localized +2026-02-05T18:09:25.000Z CYCLE: 9/12 localized +2026-02-05T18:09:35.000Z CYCLE: 9/12 localized +2026-02-05T18:09:45.000Z CYCLE: 9/12 localized +2026-02-05T18:09:55.000Z CYCLE: 9/12 localized +2026-02-05T18:10:05.000Z CYCLE: 9/12 localized +2026-02-05T18:10:15.000Z CYCLE: 9/12 localized +2026-02-05T18:10:25.000Z CYCLE: 9/12 localized +2026-02-05T18:10:35.000Z CYCLE: 9/12 localized +2026-02-05T18:10:45.000Z CYCLE: 9/12 localized +2026-02-05T18:10:56.000Z CYCLE: 9/12 localized +2026-02-05T18:11:06.000Z CYCLE: 9/12 localized +2026-02-05T18:11:16.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:11:16.000Z CYCLE: 8/12 localized +2026-02-05T18:11:26.000Z CYCLE: 9/12 localized +2026-02-05T18:11:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:11:36.000Z CYCLE: 8/12 localized +2026-02-05T18:11:46.000Z CYCLE: 9/12 localized +2026-02-05T18:11:56.000Z CYCLE: 9/12 localized +2026-02-05T18:12:06.000Z CYCLE: 9/12 localized +2026-02-05T18:12:16.000Z CYCLE: 9/12 localized +2026-02-05T18:12:26.000Z CYCLE: 9/12 localized +2026-02-05T18:12:36.000Z CYCLE: 9/12 localized +2026-02-05T18:12:46.000Z CYCLE: 9/12 localized +2026-02-05T18:12:56.000Z CYCLE: 9/12 localized +2026-02-05T18:13:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:13:06.000Z CYCLE: 8/12 localized +2026-02-05T18:13:16.000Z CYCLE: 9/12 localized +2026-02-05T18:13:27.000Z CYCLE: 9/12 localized +2026-02-05T18:13:37.000Z CYCLE: 9/12 localized +2026-02-05T18:13:47.000Z CYCLE: 9/12 localized +2026-02-05T18:13:57.000Z CYCLE: 9/12 localized +2026-02-05T18:14:07.000Z CYCLE: 9/12 localized +2026-02-05T18:14:17.000Z CYCLE: 9/12 localized +2026-02-05T18:14:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:14:27.000Z CYCLE: 8/12 localized +2026-02-05T18:14:37.000Z CYCLE: 9/12 localized +2026-02-05T18:14:47.000Z CYCLE: 9/12 localized +2026-02-05T18:14:57.000Z CYCLE: 9/12 localized +2026-02-05T18:15:07.000Z CYCLE: 9/12 localized +2026-02-05T18:15:17.000Z CYCLE: 9/12 localized +2026-02-05T18:15:27.000Z CYCLE: 9/12 localized +2026-02-05T18:15:37.000Z CYCLE: 9/12 localized +2026-02-05T18:15:47.000Z CYCLE: 9/12 localized +2026-02-05T18:15:58.000Z CYCLE: 9/12 localized +2026-02-05T18:16:08.000Z CYCLE: 9/12 localized +2026-02-05T18:16:18.000Z CYCLE: 9/12 localized +2026-02-05T18:16:28.000Z CYCLE: 9/12 localized +2026-02-05T18:16:38.000Z CYCLE: 9/12 localized +2026-02-05T18:16:48.000Z CYCLE: 9/12 localized +2026-02-05T18:16:58.000Z CYCLE: 9/12 localized +2026-02-05T18:17:08.000Z CYCLE: 9/12 localized +2026-02-05T18:17:18.000Z CYCLE: 9/12 localized +2026-02-05T18:17:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:17:28.000Z CYCLE: 8/12 localized +2026-02-05T18:17:38.000Z CYCLE: 9/12 localized +2026-02-05T18:17:48.000Z CYCLE: 9/12 localized +2026-02-05T18:17:58.000Z CYCLE: 9/12 localized +2026-02-05T18:18:08.000Z CYCLE: 9/12 localized +2026-02-05T18:18:18.000Z CYCLE: 9/12 localized +2026-02-05T18:18:29.000Z CYCLE: 9/12 localized +2026-02-05T18:18:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:18:39.000Z CYCLE: 8/12 localized +2026-02-05T18:18:49.000Z CYCLE: 9/12 localized +2026-02-05T18:18:59.000Z CYCLE: 9/12 localized +2026-02-05T18:19:09.000Z CYCLE: 9/12 localized +2026-02-05T18:19:19.000Z CYCLE: 9/12 localized +2026-02-05T18:19:29.000Z CYCLE: 9/12 localized +2026-02-05T18:19:39.000Z CYCLE: 9/12 localized +2026-02-05T18:19:49.000Z CYCLE: 9/12 localized +2026-02-05T18:19:59.000Z CYCLE: 9/12 localized +2026-02-05T18:20:09.000Z CYCLE: 9/12 localized +2026-02-05T18:20:19.000Z CYCLE: 9/12 localized +2026-02-05T18:20:29.000Z CYCLE: 9/12 localized +2026-02-05T18:20:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:20:39.000Z CYCLE: 8/12 localized +2026-02-05T18:20:49.000Z CYCLE: 9/12 localized +2026-02-05T18:21:00.000Z CYCLE: 9/12 localized +2026-02-05T18:21:10.000Z CYCLE: 9/12 localized +2026-02-05T18:21:20.000Z CYCLE: 9/12 localized +2026-02-05T18:21:30.000Z CYCLE: 9/12 localized +2026-02-05T18:21:40.000Z CYCLE: 9/12 localized +2026-02-05T18:21:50.000Z CYCLE: 9/12 localized +2026-02-05T18:22:00.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:22:00.000Z CYCLE: 8/12 localized +2026-02-05T18:22:10.000Z CYCLE: 9/12 localized +2026-02-05T18:22:20.000Z CYCLE: 9/12 localized +2026-02-05T18:22:30.000Z CYCLE: 9/12 localized +2026-02-05T18:22:40.000Z CYCLE: 9/12 localized +2026-02-05T18:22:50.000Z CYCLE: 9/12 localized +2026-02-05T18:23:00.000Z CYCLE: 9/12 localized +2026-02-05T18:23:10.000Z CYCLE: 9/12 localized +2026-02-05T18:23:20.000Z CYCLE: 9/12 localized +2026-02-05T18:23:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:23:31.000Z CYCLE: 8/12 localized +2026-02-05T18:23:41.000Z CYCLE: 9/12 localized +2026-02-05T18:23:51.000Z CYCLE: 9/12 localized +2026-02-05T18:24:01.000Z CYCLE: 9/12 localized +2026-02-05T18:24:11.000Z CYCLE: 9/12 localized +2026-02-05T18:24:21.000Z CYCLE: 9/12 localized +2026-02-05T18:24:31.000Z CYCLE: 9/12 localized +2026-02-05T18:24:41.000Z CYCLE: 9/12 localized +2026-02-05T18:24:51.000Z CYCLE: 9/12 localized +2026-02-05T18:25:01.000Z CYCLE: 9/12 localized +2026-02-05T18:25:11.000Z CYCLE: 9/12 localized +2026-02-05T18:25:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:25:21.000Z CYCLE: 8/12 localized +2026-02-05T18:25:31.000Z CYCLE: 9/12 localized +2026-02-05T18:25:41.000Z CYCLE: 9/12 localized +2026-02-05T18:25:51.000Z CYCLE: 9/12 localized +2026-02-05T18:26:02.000Z CYCLE: 9/12 localized +2026-02-05T18:26:12.000Z CYCLE: 9/12 localized +2026-02-05T18:26:22.000Z CYCLE: 9/12 localized +2026-02-05T18:26:32.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:26:32.000Z CYCLE: 8/12 localized +2026-02-05T18:26:42.000Z CYCLE: 9/12 localized +2026-02-05T18:26:52.000Z CYCLE: 9/12 localized +2026-02-05T18:27:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:27:02.000Z CYCLE: 8/12 localized +2026-02-05T18:27:12.000Z CYCLE: 9/12 localized +2026-02-05T18:27:22.000Z CYCLE: 9/12 localized +2026-02-05T18:27:32.000Z CYCLE: 9/12 localized +2026-02-05T18:27:42.000Z CYCLE: 9/12 localized +2026-02-05T18:27:52.000Z CYCLE: 9/12 localized +2026-02-05T18:28:02.000Z CYCLE: 9/12 localized +2026-02-05T18:28:12.000Z CYCLE: 9/12 localized +2026-02-05T18:28:22.000Z CYCLE: 9/12 localized +2026-02-05T18:28:33.000Z CYCLE: 9/12 localized +2026-02-05T18:28:43.000Z CYCLE: 9/12 localized +2026-02-05T18:28:53.000Z CYCLE: 9/12 localized +2026-02-05T18:29:03.000Z CYCLE: 9/12 localized +2026-02-05T18:29:13.000Z CYCLE: 9/12 localized +2026-02-05T18:29:23.000Z CYCLE: 9/12 localized +2026-02-05T18:29:33.000Z CYCLE: 9/12 localized +2026-02-05T18:29:43.000Z CYCLE: 9/12 localized +2026-02-05T18:29:53.000Z CYCLE: 9/12 localized +2026-02-05T18:30:03.000Z CYCLE: 9/12 localized +2026-02-05T18:30:13.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:30:13.000Z CYCLE: 8/12 localized +2026-02-05T18:30:23.000Z CYCLE: 9/12 localized +2026-02-05T18:30:33.000Z CYCLE: 9/12 localized +2026-02-05T18:30:43.000Z CYCLE: 9/12 localized +2026-02-05T18:30:53.000Z CYCLE: 9/12 localized +2026-02-05T18:31:04.000Z CYCLE: 9/12 localized +2026-02-05T18:31:14.000Z CYCLE: 9/12 localized +2026-02-05T18:31:24.000Z CYCLE: 9/12 localized +2026-02-05T18:31:34.000Z CYCLE: 9/12 localized +2026-02-05T18:31:44.000Z CYCLE: 9/12 localized +2026-02-05T18:31:54.000Z CYCLE: 9/12 localized +2026-02-05T18:32:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:32:04.000Z CYCLE: 8/12 localized +2026-02-05T18:32:14.000Z CYCLE: 9/12 localized +2026-02-05T18:32:24.000Z CYCLE: 9/12 localized +2026-02-05T18:32:34.000Z CYCLE: 9/12 localized +2026-02-05T18:32:44.000Z CYCLE: 9/12 localized +2026-02-05T18:32:54.000Z CYCLE: 9/12 localized +2026-02-05T18:33:04.000Z CYCLE: 9/12 localized +2026-02-05T18:33:14.000Z CYCLE: 9/12 localized +2026-02-05T18:33:24.000Z CYCLE: 9/12 localized +2026-02-05T18:33:35.000Z CYCLE: 9/12 localized +2026-02-05T18:33:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:33:45.000Z CYCLE: 8/12 localized +2026-02-05T18:33:55.000Z CYCLE: 9/12 localized +2026-02-05T18:34:05.000Z CYCLE: 9/12 localized +2026-02-05T18:34:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:34:15.000Z CYCLE: 8/12 localized +2026-02-05T18:34:25.000Z CYCLE: 9/12 localized +2026-02-05T18:34:35.000Z CYCLE: 9/12 localized +2026-02-05T18:34:45.000Z CYCLE: 9/12 localized +2026-02-05T18:34:55.000Z CYCLE: 9/12 localized +2026-02-05T18:35:05.000Z CYCLE: 9/12 localized +2026-02-05T18:35:15.000Z CYCLE: 9/12 localized +2026-02-05T18:35:25.000Z CYCLE: 9/12 localized +2026-02-05T18:35:35.000Z CYCLE: 9/12 localized +2026-02-05T18:35:45.000Z CYCLE: 9/12 localized +2026-02-05T18:35:55.000Z CYCLE: 9/12 localized +2026-02-05T18:36:06.000Z CYCLE: 9/12 localized +2026-02-05T18:36:16.000Z CYCLE: 9/12 localized +2026-02-05T18:36:26.000Z CYCLE: 9/12 localized +2026-02-05T18:36:36.000Z CYCLE: 9/12 localized +2026-02-05T18:36:46.000Z CYCLE: 9/12 localized +2026-02-05T18:36:56.000Z CYCLE: 9/12 localized +2026-02-05T18:37:06.000Z CYCLE: 9/12 localized +2026-02-05T18:37:16.000Z CYCLE: 9/12 localized +2026-02-05T18:37:26.000Z CYCLE: 9/12 localized +2026-02-05T18:37:36.000Z CYCLE: 9/12 localized +2026-02-05T18:37:46.000Z CYCLE: 9/12 localized +2026-02-05T18:37:56.000Z CYCLE: 9/12 localized +2026-02-05T18:38:06.000Z CYCLE: 9/12 localized +2026-02-05T18:38:16.000Z CYCLE: 9/12 localized +2026-02-05T18:38:27.000Z CYCLE: 9/12 localized +2026-02-05T18:38:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:38:37.000Z CYCLE: 8/12 localized +2026-02-05T18:38:47.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:38:47.000Z CYCLE: 8/12 localized +2026-02-05T18:38:57.000Z CYCLE: 9/12 localized +2026-02-05T18:39:07.000Z CYCLE: 9/12 localized +2026-02-05T18:39:17.000Z CYCLE: 9/12 localized +2026-02-05T18:39:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:39:27.000Z CYCLE: 8/12 localized +2026-02-05T18:39:37.000Z CYCLE: 9/12 localized +2026-02-05T18:39:47.000Z CYCLE: 9/12 localized +2026-02-05T18:39:57.000Z CYCLE: 9/12 localized +2026-02-05T18:40:07.000Z CYCLE: 9/12 localized +2026-02-05T18:40:17.000Z CYCLE: 9/12 localized +2026-02-05T18:40:27.000Z CYCLE: 9/12 localized +2026-02-05T18:40:37.000Z CYCLE: 9/12 localized +2026-02-05T18:40:48.000Z CYCLE: 9/12 localized +2026-02-05T18:40:58.000Z CYCLE: 9/12 localized +2026-02-05T18:41:08.000Z CYCLE: 9/12 localized +2026-02-05T18:41:18.000Z CYCLE: 9/12 localized +2026-02-05T18:41:28.000Z CYCLE: 9/12 localized +2026-02-05T18:41:38.000Z CYCLE: 9/12 localized +2026-02-05T18:41:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:41:48.000Z CYCLE: 8/12 localized +2026-02-05T18:41:58.000Z CYCLE: 9/12 localized +2026-02-05T18:42:08.000Z CYCLE: 9/12 localized +2026-02-05T18:42:18.000Z CYCLE: 9/12 localized +2026-02-05T18:42:28.000Z CYCLE: 9/12 localized +2026-02-05T18:42:38.000Z CYCLE: 9/12 localized +2026-02-05T18:42:48.000Z CYCLE: 9/12 localized +2026-02-05T18:42:58.000Z CYCLE: 9/12 localized +2026-02-05T18:43:08.000Z CYCLE: 9/12 localized +2026-02-05T18:43:18.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:43:19.000Z CYCLE: 8/12 localized +2026-02-05T18:43:29.000Z CYCLE: 9/12 localized +2026-02-05T18:43:39.000Z CYCLE: 9/12 localized +2026-02-05T18:43:49.000Z CYCLE: 9/12 localized +2026-02-05T18:43:59.000Z CYCLE: 9/12 localized +2026-02-05T18:44:09.000Z CYCLE: 9/12 localized +2026-02-05T18:44:19.000Z CYCLE: 9/12 localized +2026-02-05T18:44:29.000Z CYCLE: 9/12 localized +2026-02-05T18:44:39.000Z CYCLE: 9/12 localized +2026-02-05T18:44:49.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:44:49.000Z CYCLE: 8/12 localized +2026-02-05T18:44:59.000Z CYCLE: 9/12 localized +2026-02-05T18:45:09.000Z CYCLE: 9/12 localized +2026-02-05T18:45:19.000Z CYCLE: 9/12 localized +2026-02-05T18:45:29.000Z CYCLE: 9/12 localized +2026-02-05T18:45:39.000Z CYCLE: 9/12 localized +2026-02-05T18:45:49.000Z CYCLE: 9/12 localized +2026-02-05T18:46:00.000Z CYCLE: 9/12 localized +2026-02-05T18:46:10.000Z CYCLE: 9/12 localized +2026-02-05T18:46:20.000Z CYCLE: 9/12 localized +2026-02-05T18:46:30.000Z CYCLE: 9/12 localized +2026-02-05T18:46:40.000Z CYCLE: 9/12 localized +2026-02-05T18:46:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:46:50.000Z CYCLE: 8/12 localized +2026-02-05T18:47:00.000Z CYCLE: 9/12 localized +2026-02-05T18:47:10.000Z CYCLE: 9/12 localized +2026-02-05T18:47:20.000Z CYCLE: 9/12 localized +2026-02-05T18:47:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:47:30.000Z CYCLE: 8/12 localized +2026-02-05T18:47:40.000Z CYCLE: 9/12 localized +2026-02-05T18:47:50.000Z CYCLE: 9/12 localized +2026-02-05T18:48:00.000Z CYCLE: 9/12 localized +2026-02-05T18:48:10.000Z CYCLE: 9/12 localized +2026-02-05T18:48:20.000Z CYCLE: 9/12 localized +2026-02-05T18:48:31.000Z CYCLE: 9/12 localized +2026-02-05T18:48:41.000Z CYCLE: 9/12 localized +2026-02-05T18:48:51.000Z CYCLE: 9/12 localized +2026-02-05T18:49:01.000Z CYCLE: 9/12 localized +2026-02-05T18:49:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:49:11.000Z CYCLE: 8/12 localized +2026-02-05T18:49:21.000Z CYCLE: 9/12 localized +2026-02-05T18:49:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:49:31.000Z CYCLE: 8/12 localized +2026-02-05T18:49:41.000Z CYCLE: 9/12 localized +2026-02-05T18:49:51.000Z CYCLE: 9/12 localized +2026-02-05T18:50:01.000Z CYCLE: 9/12 localized +2026-02-05T18:50:11.000Z CYCLE: 9/12 localized +2026-02-05T18:50:21.000Z CYCLE: 9/12 localized +2026-02-05T18:50:31.000Z CYCLE: 9/12 localized +2026-02-05T18:50:41.000Z CYCLE: 9/12 localized +2026-02-05T18:50:52.000Z CYCLE: 9/12 localized +2026-02-05T18:51:02.000Z CYCLE: 9/12 localized +2026-02-05T18:51:12.000Z CYCLE: 9/12 localized +2026-02-05T18:51:22.000Z CYCLE: 9/12 localized +2026-02-05T18:51:32.000Z CYCLE: 9/12 localized +2026-02-05T18:51:42.000Z CYCLE: 9/12 localized +2026-02-05T18:51:52.000Z CYCLE: 9/12 localized +2026-02-05T18:52:02.000Z CYCLE: 9/12 localized +2026-02-05T18:52:12.000Z CYCLE: 9/12 localized +2026-02-05T18:52:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:52:22.000Z CYCLE: 8/12 localized +2026-02-05T18:52:32.000Z CYCLE: 9/12 localized +2026-02-05T18:52:42.000Z CYCLE: 9/12 localized +2026-02-05T18:52:52.000Z CYCLE: 9/12 localized +2026-02-05T18:53:02.000Z CYCLE: 9/12 localized +2026-02-05T18:53:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:53:12.000Z CYCLE: 8/12 localized +2026-02-05T18:53:23.000Z CYCLE: 9/12 localized +2026-02-05T18:53:33.000Z CYCLE: 9/12 localized +2026-02-05T18:53:43.000Z CYCLE: 9/12 localized +2026-02-05T18:53:53.000Z CYCLE: 9/12 localized +2026-02-05T18:54:03.000Z CYCLE: 9/12 localized +2026-02-05T18:54:13.000Z CYCLE: 9/12 localized +2026-02-05T18:54:23.000Z CYCLE: 9/12 localized +2026-02-05T18:54:33.000Z CYCLE: 9/12 localized +2026-02-05T18:54:43.000Z CYCLE: 9/12 localized +2026-02-05T18:54:53.000Z CYCLE: 9/12 localized +2026-02-05T18:55:03.000Z CYCLE: 9/12 localized +2026-02-05T18:55:13.000Z CYCLE: 9/12 localized +2026-02-05T18:55:23.000Z CYCLE: 9/12 localized +2026-02-05T18:55:33.000Z CYCLE: 9/12 localized +2026-02-05T18:55:44.000Z CYCLE: 9/12 localized +2026-02-05T18:55:54.000Z CYCLE: 9/12 localized +2026-02-05T18:56:04.000Z CYCLE: 9/12 localized +2026-02-05T18:56:14.000Z CYCLE: 9/12 localized +2026-02-05T18:56:24.000Z CYCLE: 9/12 localized +2026-02-05T18:56:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:56:34.000Z CYCLE: 8/12 localized +2026-02-05T18:56:44.000Z CYCLE: 9/12 localized +2026-02-05T18:56:54.000Z CYCLE: 9/12 localized +2026-02-05T18:57:04.000Z CYCLE: 9/12 localized +2026-02-05T18:57:14.000Z CYCLE: 9/12 localized +2026-02-05T18:57:24.000Z CYCLE: 9/12 localized +2026-02-05T18:57:34.000Z CYCLE: 9/12 localized +2026-02-05T18:57:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:57:44.000Z CYCLE: 8/12 localized +2026-02-05T18:57:54.000Z CYCLE: 9/12 localized +2026-02-05T18:58:04.000Z CYCLE: 9/12 localized +2026-02-05T18:58:15.000Z CYCLE: 9/12 localized +2026-02-05T18:58:25.000Z CYCLE: 9/12 localized +2026-02-05T18:58:35.000Z CYCLE: 9/12 localized +2026-02-05T18:58:45.000Z CYCLE: 9/12 localized +2026-02-05T18:58:55.000Z CYCLE: 9/12 localized +2026-02-05T18:59:05.000Z CYCLE: 9/12 localized +2026-02-05T18:59:15.000Z CYCLE: 9/12 localized +2026-02-05T18:59:25.000Z CYCLE: 9/12 localized +2026-02-05T18:59:35.000Z CYCLE: 9/12 localized +2026-02-05T18:59:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T18:59:45.000Z CYCLE: 8/12 localized +2026-02-05T18:59:55.000Z CYCLE: 9/12 localized +2026-02-05T19:00:05.000Z CYCLE: 9/12 localized +2026-02-05T19:00:15.000Z CYCLE: 9/12 localized +2026-02-05T19:00:25.000Z CYCLE: 9/12 localized +2026-02-05T19:00:35.000Z CYCLE: 9/12 localized +2026-02-05T19:00:46.000Z CYCLE: 9/12 localized +2026-02-05T19:00:56.000Z CYCLE: 9/12 localized +2026-02-05T19:01:06.000Z CYCLE: 9/12 localized +2026-02-05T19:01:16.000Z CYCLE: 9/12 localized +2026-02-05T19:01:26.000Z CYCLE: 9/12 localized +2026-02-05T19:01:36.000Z CYCLE: 9/12 localized +2026-02-05T19:01:46.000Z CYCLE: 9/12 localized +2026-02-05T19:01:56.000Z CYCLE: 9/12 localized +2026-02-05T19:02:06.000Z CYCLE: 9/12 localized +2026-02-05T19:02:16.000Z CYCLE: 9/12 localized +2026-02-05T19:02:26.000Z CYCLE: 9/12 localized +2026-02-05T19:02:36.000Z CYCLE: 9/12 localized +2026-02-05T19:02:46.000Z CYCLE: 9/12 localized +2026-02-05T19:02:56.000Z CYCLE: 9/12 localized +2026-02-05T19:03:07.000Z CYCLE: 9/12 localized +2026-02-05T19:03:17.000Z CYCLE: 9/12 localized +2026-02-05T19:03:27.000Z CYCLE: 9/12 localized +2026-02-05T19:03:37.000Z CYCLE: 9/12 localized +2026-02-05T19:03:47.000Z CYCLE: 9/12 localized +2026-02-05T19:03:57.000Z CYCLE: 9/12 localized +2026-02-05T19:04:07.000Z CYCLE: 9/12 localized +2026-02-05T19:04:17.000Z CYCLE: 9/12 localized +2026-02-05T19:04:27.000Z CYCLE: 9/12 localized +2026-02-05T19:04:37.000Z CYCLE: 9/12 localized +2026-02-05T19:04:47.000Z CYCLE: 9/12 localized +2026-02-05T19:04:57.000Z CYCLE: 9/12 localized +2026-02-05T19:05:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:05:07.000Z CYCLE: 8/12 localized +2026-02-05T19:05:17.000Z CYCLE: 9/12 localized +2026-02-05T19:05:27.000Z CYCLE: 9/12 localized +2026-02-05T19:05:38.000Z CYCLE: 9/12 localized +2026-02-05T19:05:48.000Z CYCLE: 9/12 localized +2026-02-05T19:05:58.000Z CYCLE: 9/12 localized +2026-02-05T19:06:08.000Z CYCLE: 9/12 localized +2026-02-05T19:06:18.000Z CYCLE: 9/12 localized +2026-02-05T19:06:28.000Z CYCLE: 9/12 localized +2026-02-05T19:06:38.000Z CYCLE: 9/12 localized +2026-02-05T19:06:48.000Z CYCLE: 9/12 localized +2026-02-05T19:06:58.000Z CYCLE: 9/12 localized +2026-02-05T19:07:08.000Z CYCLE: 9/12 localized +2026-02-05T19:07:18.000Z CYCLE: 9/12 localized +2026-02-05T19:07:28.000Z CYCLE: 9/12 localized +2026-02-05T19:07:38.000Z CYCLE: 9/12 localized +2026-02-05T19:07:48.000Z CYCLE: 9/12 localized +2026-02-05T19:07:58.000Z CYCLE: 9/12 localized +2026-02-05T19:08:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:08:09.000Z CYCLE: 8/12 localized +2026-02-05T19:08:19.000Z CYCLE: 9/12 localized +2026-02-05T19:08:29.000Z CYCLE: 9/12 localized +2026-02-05T19:08:39.000Z CYCLE: 9/12 localized +2026-02-05T19:08:49.000Z CYCLE: 9/12 localized +2026-02-05T19:08:59.000Z CYCLE: 9/12 localized +2026-02-05T19:09:09.000Z CYCLE: 9/12 localized +2026-02-05T19:09:19.000Z CYCLE: 9/12 localized +2026-02-05T19:09:29.000Z CYCLE: 9/12 localized +2026-02-05T19:09:39.000Z CYCLE: 9/12 localized +2026-02-05T19:09:49.000Z CYCLE: 9/12 localized +2026-02-05T19:09:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:09:59.000Z CYCLE: 8/12 localized +2026-02-05T19:10:09.000Z CYCLE: 9/12 localized +2026-02-05T19:10:19.000Z CYCLE: 9/12 localized +2026-02-05T19:10:29.000Z CYCLE: 9/12 localized +2026-02-05T19:10:40.000Z CYCLE: 9/12 localized +2026-02-05T19:10:50.000Z CYCLE: 9/12 localized +2026-02-05T19:11:00.000Z CYCLE: 9/12 localized +2026-02-05T19:11:10.000Z CYCLE: 9/12 localized +2026-02-05T19:11:20.000Z CYCLE: 9/12 localized +2026-02-05T19:11:30.000Z CYCLE: 9/12 localized +2026-02-05T19:11:40.000Z CYCLE: 9/12 localized +2026-02-05T19:11:50.000Z CYCLE: 9/12 localized +2026-02-05T19:12:00.000Z CYCLE: 9/12 localized +2026-02-05T19:12:10.000Z CYCLE: 9/12 localized +2026-02-05T19:12:20.000Z CYCLE: 9/12 localized +2026-02-05T19:12:30.000Z CYCLE: 9/12 localized +2026-02-05T19:12:40.000Z CYCLE: 9/12 localized +2026-02-05T19:12:50.000Z CYCLE: 9/12 localized +2026-02-05T19:13:00.000Z CYCLE: 9/12 localized +2026-02-05T19:13:11.000Z CYCLE: 9/12 localized +2026-02-05T19:13:21.000Z CYCLE: 9/12 localized +2026-02-05T19:13:31.000Z CYCLE: 9/12 localized +2026-02-05T19:13:41.000Z CYCLE: 9/12 localized +2026-02-05T19:13:51.000Z CYCLE: 9/12 localized +2026-02-05T19:14:01.000Z CYCLE: 9/12 localized +2026-02-05T19:14:11.000Z CYCLE: 9/12 localized +2026-02-05T19:14:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:14:21.000Z CYCLE: 8/12 localized +2026-02-05T19:14:31.000Z CYCLE: 9/12 localized +2026-02-05T19:14:41.000Z CYCLE: 9/12 localized +2026-02-05T19:14:51.000Z CYCLE: 9/12 localized +2026-02-05T19:15:01.000Z CYCLE: 9/12 localized +2026-02-05T19:15:11.000Z CYCLE: 9/12 localized +2026-02-05T19:15:21.000Z CYCLE: 9/12 localized +2026-02-05T19:15:32.000Z CYCLE: 9/12 localized +2026-02-05T19:15:42.000Z CYCLE: 9/12 localized +2026-02-05T19:15:52.000Z CYCLE: 9/12 localized +2026-02-05T19:16:02.000Z CYCLE: 9/12 localized +2026-02-05T19:16:12.000Z CYCLE: 9/12 localized +2026-02-05T19:16:22.000Z CYCLE: 9/12 localized +2026-02-05T19:16:32.000Z CYCLE: 9/12 localized +2026-02-05T19:16:42.000Z CYCLE: 9/12 localized +2026-02-05T19:16:52.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:16:52.000Z CYCLE: 8/12 localized +2026-02-05T19:17:02.000Z CYCLE: 9/12 localized +2026-02-05T19:17:12.000Z CYCLE: 9/12 localized +2026-02-05T19:17:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:17:22.000Z CYCLE: 8/12 localized +2026-02-05T19:17:32.000Z CYCLE: 9/12 localized +2026-02-05T19:17:42.000Z CYCLE: 9/12 localized +2026-02-05T19:17:52.000Z CYCLE: 9/12 localized +2026-02-05T19:18:03.000Z CYCLE: 9/12 localized +2026-02-05T19:18:13.000Z CYCLE: 9/12 localized +2026-02-05T19:18:23.000Z CYCLE: 9/12 localized +2026-02-05T19:18:33.000Z CYCLE: 9/12 localized +2026-02-05T19:18:43.000Z CYCLE: 9/12 localized +2026-02-05T19:18:53.000Z CYCLE: 9/12 localized +2026-02-05T19:19:03.000Z CYCLE: 9/12 localized +2026-02-05T19:19:13.000Z CYCLE: 9/12 localized +2026-02-05T19:19:23.000Z CYCLE: 9/12 localized +2026-02-05T19:19:33.000Z CYCLE: 9/12 localized +2026-02-05T19:19:43.000Z CYCLE: 9/12 localized +2026-02-05T19:19:53.000Z CYCLE: 9/12 localized +2026-02-05T19:20:03.000Z CYCLE: 9/12 localized +2026-02-05T19:20:13.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:20:13.000Z CYCLE: 8/12 localized +2026-02-05T19:20:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:20:23.000Z CYCLE: 8/12 localized +2026-02-05T19:20:33.000Z CYCLE: 9/12 localized +2026-02-05T19:20:44.000Z CYCLE: 9/12 localized +2026-02-05T19:20:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:20:54.000Z CYCLE: 8/12 localized +2026-02-05T19:21:04.000Z CYCLE: 9/12 localized +2026-02-05T19:21:14.000Z CYCLE: 9/12 localized +2026-02-05T19:21:24.000Z CYCLE: 9/12 localized +2026-02-05T19:21:34.000Z CYCLE: 9/12 localized +2026-02-05T19:21:44.000Z CYCLE: 9/12 localized +2026-02-05T19:21:54.000Z CYCLE: 9/12 localized +2026-02-05T19:22:04.000Z CYCLE: 9/12 localized +2026-02-05T19:22:14.000Z CYCLE: 9/12 localized +2026-02-05T19:22:24.000Z CYCLE: 9/12 localized +2026-02-05T19:22:34.000Z CYCLE: 9/12 localized +2026-02-05T19:22:44.000Z CYCLE: 9/12 localized +2026-02-05T19:22:54.000Z CYCLE: 9/12 localized +2026-02-05T19:23:05.000Z CYCLE: 9/12 localized +2026-02-05T19:23:15.000Z CYCLE: 9/12 localized +2026-02-05T19:23:25.000Z CYCLE: 9/12 localized +2026-02-05T19:23:35.000Z CYCLE: 9/12 localized +2026-02-05T19:23:45.000Z CYCLE: 9/12 localized +2026-02-05T19:23:55.000Z CYCLE: 9/12 localized +2026-02-05T19:24:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:24:05.000Z CYCLE: 8/12 localized +2026-02-05T19:24:15.000Z CYCLE: 9/12 localized +2026-02-05T19:24:25.000Z CYCLE: 9/12 localized +2026-02-05T19:24:35.000Z CYCLE: 9/12 localized +2026-02-05T19:24:45.000Z CYCLE: 9/12 localized +2026-02-05T19:24:55.000Z CYCLE: 9/12 localized +2026-02-05T19:25:05.000Z CYCLE: 9/12 localized +2026-02-05T19:25:15.000Z CYCLE: 9/12 localized +2026-02-05T19:25:25.000Z CYCLE: 9/12 localized +2026-02-05T19:25:36.000Z CYCLE: 9/12 localized +2026-02-05T19:25:46.000Z CYCLE: 9/12 localized +2026-02-05T19:25:56.000Z CYCLE: 9/12 localized +2026-02-05T19:26:06.000Z CYCLE: 9/12 localized +2026-02-05T19:26:16.000Z CYCLE: 9/12 localized +2026-02-05T19:26:26.000Z CYCLE: 9/12 localized +2026-02-05T19:26:36.000Z CYCLE: 9/12 localized +2026-02-05T19:26:46.000Z CYCLE: 9/12 localized +2026-02-05T19:26:56.000Z CYCLE: 9/12 localized +2026-02-05T19:27:06.000Z CYCLE: 9/12 localized +2026-02-05T19:27:16.000Z CYCLE: 9/12 localized +2026-02-05T19:27:26.000Z CYCLE: 9/12 localized +2026-02-05T19:27:37.000Z CYCLE: 9/12 localized +2026-02-05T19:27:47.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:27:47.000Z CYCLE: 8/12 localized +2026-02-05T19:27:57.000Z CYCLE: 9/12 localized +2026-02-05T19:28:07.000Z CYCLE: 9/12 localized +2026-02-05T19:28:17.000Z CYCLE: 9/12 localized +2026-02-05T19:28:27.000Z CYCLE: 9/12 localized +2026-02-05T19:28:37.000Z CYCLE: 9/12 localized +2026-02-05T19:28:47.000Z CYCLE: 9/12 localized +2026-02-05T19:28:57.000Z CYCLE: 9/12 localized +2026-02-05T19:29:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:29:07.000Z CYCLE: 8/12 localized +2026-02-05T19:29:17.000Z CYCLE: 9/12 localized +2026-02-05T19:29:27.000Z CYCLE: 9/12 localized +2026-02-05T19:29:38.000Z CYCLE: 9/12 localized +2026-02-05T19:29:48.000Z CYCLE: 9/12 localized +2026-02-05T19:29:58.000Z CYCLE: 9/12 localized +2026-02-05T19:30:08.000Z CYCLE: 9/12 localized +2026-02-05T19:30:18.000Z CYCLE: 9/12 localized +2026-02-05T19:30:28.000Z CYCLE: 9/12 localized +2026-02-05T19:30:38.000Z CYCLE: 9/12 localized +2026-02-05T19:30:48.000Z CYCLE: 9/12 localized +2026-02-05T19:30:58.000Z CYCLE: 9/12 localized +2026-02-05T19:31:08.000Z CYCLE: 9/12 localized +2026-02-05T19:31:18.000Z CYCLE: 9/12 localized +2026-02-05T19:31:28.000Z CYCLE: 9/12 localized +2026-02-05T19:31:38.000Z CYCLE: 9/12 localized +2026-02-05T19:31:48.000Z CYCLE: 9/12 localized +2026-02-05T19:31:59.000Z CYCLE: 9/12 localized +2026-02-05T19:32:09.000Z CYCLE: 9/12 localized +2026-02-05T19:32:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:32:19.000Z CYCLE: 8/12 localized +2026-02-05T19:32:29.000Z CYCLE: 9/12 localized +2026-02-05T19:32:39.000Z CYCLE: 9/12 localized +2026-02-05T19:32:49.000Z CYCLE: 9/12 localized +2026-02-05T19:32:59.000Z CYCLE: 9/12 localized +2026-02-05T19:33:09.000Z CYCLE: 9/12 localized +2026-02-05T19:33:19.000Z CYCLE: 9/12 localized +2026-02-05T19:33:29.000Z CYCLE: 9/12 localized +2026-02-05T19:33:39.000Z CYCLE: 9/12 localized +2026-02-05T19:33:49.000Z CYCLE: 9/12 localized +2026-02-05T19:33:59.000Z CYCLE: 9/12 localized +2026-02-05T19:34:09.000Z CYCLE: 9/12 localized +2026-02-05T19:34:19.000Z CYCLE: 9/12 localized +2026-02-05T19:34:30.000Z CYCLE: 9/12 localized +2026-02-05T19:34:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:34:40.000Z CYCLE: 8/12 localized +2026-02-05T19:34:50.000Z CYCLE: 9/12 localized +2026-02-05T19:35:00.000Z CYCLE: 9/12 localized +2026-02-05T19:35:10.000Z CYCLE: 9/12 localized +2026-02-05T19:35:20.000Z CYCLE: 9/12 localized +2026-02-05T19:35:30.000Z CYCLE: 9/12 localized +2026-02-05T19:35:40.000Z CYCLE: 9/12 localized +2026-02-05T19:35:50.000Z CYCLE: 9/12 localized +2026-02-05T19:36:00.000Z CYCLE: 9/12 localized +2026-02-05T19:36:10.000Z CYCLE: 9/12 localized +2026-02-05T19:36:20.000Z CYCLE: 9/12 localized +2026-02-05T19:36:30.000Z CYCLE: 9/12 localized +2026-02-05T19:36:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:36:40.000Z CYCLE: 8/12 localized +2026-02-05T19:36:50.000Z CYCLE: 9/12 localized +2026-02-05T19:37:01.000Z CYCLE: 9/12 localized +2026-02-05T19:37:11.000Z CYCLE: 9/12 localized +2026-02-05T19:37:21.000Z CYCLE: 9/12 localized +2026-02-05T19:37:31.000Z CYCLE: 9/12 localized +2026-02-05T19:37:41.000Z CYCLE: 9/12 localized +2026-02-05T19:37:51.000Z CYCLE: 9/12 localized +2026-02-05T19:38:01.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:38:01.000Z CYCLE: 8/12 localized +2026-02-05T19:38:11.000Z CYCLE: 9/12 localized +2026-02-05T19:38:21.000Z CYCLE: 9/12 localized +2026-02-05T19:38:31.000Z CYCLE: 9/12 localized +2026-02-05T19:38:41.000Z CYCLE: 9/12 localized +2026-02-05T19:38:51.000Z CYCLE: 9/12 localized +2026-02-05T19:39:01.000Z CYCLE: 9/12 localized +2026-02-05T19:39:11.000Z CYCLE: 9/12 localized +2026-02-05T19:39:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:39:21.000Z CYCLE: 8/12 localized +2026-02-05T19:39:32.000Z CYCLE: 9/12 localized +2026-02-05T19:39:42.000Z CYCLE: 9/12 localized +2026-02-05T19:39:52.000Z CYCLE: 9/12 localized +2026-02-05T19:40:02.000Z CYCLE: 9/12 localized +2026-02-05T19:40:12.000Z CYCLE: 9/12 localized +2026-02-05T19:40:22.000Z CYCLE: 9/12 localized +2026-02-05T19:40:32.000Z CYCLE: 9/12 localized +2026-02-05T19:40:42.000Z CYCLE: 9/12 localized +2026-02-05T19:40:52.000Z CYCLE: 9/12 localized +2026-02-05T19:41:02.000Z CYCLE: 9/12 localized +2026-02-05T19:41:12.000Z CYCLE: 9/12 localized +2026-02-05T19:41:22.000Z CYCLE: 9/12 localized +2026-02-05T19:41:32.000Z CYCLE: 9/12 localized +2026-02-05T19:41:42.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:41:43.000Z CYCLE: 8/12 localized +2026-02-05T19:41:53.000Z CYCLE: 9/12 localized +2026-02-05T19:42:03.000Z CYCLE: 9/12 localized +2026-02-05T19:42:13.000Z CYCLE: 9/12 localized +2026-02-05T19:42:23.000Z CYCLE: 9/12 localized +2026-02-05T19:42:33.000Z CYCLE: 9/12 localized +2026-02-05T19:42:43.000Z CYCLE: 9/12 localized +2026-02-05T19:42:53.000Z CYCLE: 9/12 localized +2026-02-05T19:43:03.000Z CYCLE: 9/12 localized +2026-02-05T19:43:13.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:43:13.000Z CYCLE: 8/12 localized +2026-02-05T19:43:23.000Z CYCLE: 9/12 localized +2026-02-05T19:43:33.000Z CYCLE: 9/12 localized +2026-02-05T19:43:43.000Z CYCLE: 9/12 localized +2026-02-05T19:43:53.000Z CYCLE: 9/12 localized +2026-02-05T19:44:04.000Z CYCLE: 9/12 localized +2026-02-05T19:44:14.000Z CYCLE: 9/12 localized +2026-02-05T19:44:24.000Z CYCLE: 9/12 localized +2026-02-05T19:44:34.000Z CYCLE: 9/12 localized +2026-02-05T19:44:44.000Z CYCLE: 9/12 localized +2026-02-05T19:44:54.000Z CYCLE: 9/12 localized +2026-02-05T19:45:04.000Z CYCLE: 9/12 localized +2026-02-05T19:45:14.000Z CYCLE: 9/12 localized +2026-02-05T19:45:24.000Z CYCLE: 9/12 localized +2026-02-05T19:45:34.000Z CYCLE: 9/12 localized +2026-02-05T19:45:44.000Z CYCLE: 9/12 localized +2026-02-05T19:45:54.000Z CYCLE: 9/12 localized +2026-02-05T19:46:04.000Z CYCLE: 9/12 localized +2026-02-05T19:46:14.000Z CYCLE: 9/12 localized +2026-02-05T19:46:24.000Z CYCLE: 9/12 localized +2026-02-05T19:46:35.000Z CYCLE: 9/12 localized +2026-02-05T19:46:45.000Z CYCLE: 9/12 localized +2026-02-05T19:46:55.000Z CYCLE: 9/12 localized +2026-02-05T19:47:05.000Z CYCLE: 9/12 localized +2026-02-05T19:47:15.000Z CYCLE: 9/12 localized +2026-02-05T19:47:25.000Z CYCLE: 9/12 localized +2026-02-05T19:47:35.000Z CYCLE: 9/12 localized +2026-02-05T19:47:45.000Z CYCLE: 9/12 localized +2026-02-05T19:47:55.000Z CYCLE: 9/12 localized +2026-02-05T19:48:05.000Z CYCLE: 9/12 localized +2026-02-05T19:48:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:48:15.000Z CYCLE: 8/12 localized +2026-02-05T19:48:25.000Z CYCLE: 9/12 localized +2026-02-05T19:48:35.000Z CYCLE: 9/12 localized +2026-02-05T19:48:45.000Z CYCLE: 9/12 localized +2026-02-05T19:48:55.000Z CYCLE: 9/12 localized +2026-02-05T19:49:06.000Z CYCLE: 9/12 localized +2026-02-05T19:49:16.000Z CYCLE: 9/12 localized +2026-02-05T19:49:26.000Z CYCLE: 9/12 localized +2026-02-05T19:49:36.000Z CYCLE: 9/12 localized +2026-02-05T19:49:46.000Z CYCLE: 9/12 localized +2026-02-05T19:49:56.000Z CYCLE: 9/12 localized +2026-02-05T19:50:06.000Z CYCLE: 9/12 localized +2026-02-05T19:50:16.000Z CYCLE: 9/12 localized +2026-02-05T19:50:26.000Z CYCLE: 9/12 localized +2026-02-05T19:50:36.000Z CYCLE: 9/12 localized +2026-02-05T19:50:46.000Z CYCLE: 9/12 localized +2026-02-05T19:50:56.000Z CYCLE: 9/12 localized +2026-02-05T19:51:06.000Z CYCLE: 9/12 localized +2026-02-05T19:51:16.000Z CYCLE: 9/12 localized +2026-02-05T19:51:26.000Z CYCLE: 9/12 localized +2026-02-05T19:51:37.000Z CYCLE: 9/12 localized +2026-02-05T19:51:47.000Z CYCLE: 9/12 localized +2026-02-05T19:51:57.000Z CYCLE: 9/12 localized +2026-02-05T19:52:07.000Z CYCLE: 9/12 localized +2026-02-05T19:52:17.000Z CYCLE: 9/12 localized +2026-02-05T19:52:27.000Z CYCLE: 9/12 localized +2026-02-05T19:52:37.000Z CYCLE: 9/12 localized +2026-02-05T19:52:47.000Z CYCLE: 9/12 localized +2026-02-05T19:52:57.000Z CYCLE: 9/12 localized +2026-02-05T19:53:07.000Z CYCLE: 9/12 localized +2026-02-05T19:53:17.000Z CYCLE: 9/12 localized +2026-02-05T19:53:27.000Z CYCLE: 9/12 localized +2026-02-05T19:53:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:53:37.000Z CYCLE: 8/12 localized +2026-02-05T19:53:47.000Z CYCLE: 9/12 localized +2026-02-05T19:53:57.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:53:58.000Z CYCLE: 8/12 localized +2026-02-05T19:54:08.000Z CYCLE: 9/12 localized +2026-02-05T19:54:18.000Z CYCLE: 9/12 localized +2026-02-05T19:54:28.000Z CYCLE: 9/12 localized +2026-02-05T19:54:38.000Z CYCLE: 9/12 localized +2026-02-05T19:54:48.000Z CYCLE: 9/12 localized +2026-02-05T19:54:58.000Z CYCLE: 9/12 localized +2026-02-05T19:55:08.000Z CYCLE: 9/12 localized +2026-02-05T19:55:18.000Z CYCLE: 9/12 localized +2026-02-05T19:55:28.000Z CYCLE: 9/12 localized +2026-02-05T19:55:38.000Z CYCLE: 9/12 localized +2026-02-05T19:55:48.000Z CYCLE: 9/12 localized +2026-02-05T19:55:58.000Z CYCLE: 9/12 localized +2026-02-05T19:56:08.000Z CYCLE: 9/12 localized +2026-02-05T19:56:18.000Z CYCLE: 9/12 localized +2026-02-05T19:56:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:56:28.000Z CYCLE: 8/12 localized +2026-02-05T19:56:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:56:39.000Z CYCLE: 8/12 localized +2026-02-05T19:56:49.000Z CYCLE: 9/12 localized +2026-02-05T19:56:59.000Z CYCLE: 9/12 localized +2026-02-05T19:57:09.000Z CYCLE: 9/12 localized +2026-02-05T19:57:19.000Z CYCLE: 9/12 localized +2026-02-05T19:57:29.000Z CYCLE: 9/12 localized +2026-02-05T19:57:39.000Z CYCLE: 9/12 localized +2026-02-05T19:57:49.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:57:49.000Z CYCLE: 8/12 localized +2026-02-05T19:57:59.000Z CYCLE: 9/12 localized +2026-02-05T19:58:09.000Z CYCLE: 9/12 localized +2026-02-05T19:58:19.000Z CYCLE: 9/12 localized +2026-02-05T19:58:29.000Z CYCLE: 9/12 localized +2026-02-05T19:58:39.000Z CYCLE: 9/12 localized +2026-02-05T19:58:49.000Z CYCLE: 9/12 localized +2026-02-05T19:58:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T19:59:00.000Z CYCLE: 8/12 localized +2026-02-05T19:59:10.000Z CYCLE: 9/12 localized +2026-02-05T19:59:20.000Z CYCLE: 9/12 localized +2026-02-05T19:59:30.000Z CYCLE: 9/12 localized +2026-02-05T19:59:40.000Z CYCLE: 9/12 localized +2026-02-05T19:59:50.000Z CYCLE: 9/12 localized +2026-02-05T20:00:00.000Z CYCLE: 9/12 localized +2026-02-05T20:00:10.000Z CYCLE: 9/12 localized +2026-02-05T20:00:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:00:20.000Z CYCLE: 8/12 localized +2026-02-05T20:00:30.000Z CYCLE: 9/12 localized +2026-02-05T20:00:40.000Z CYCLE: 9/12 localized +2026-02-05T20:00:50.000Z CYCLE: 9/12 localized +2026-02-05T20:01:00.000Z CYCLE: 9/12 localized +2026-02-05T20:01:10.000Z CYCLE: 9/12 localized +2026-02-05T20:01:21.000Z CYCLE: 9/12 localized +2026-02-05T20:01:31.000Z CYCLE: 9/12 localized +2026-02-05T20:01:41.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:01:41.000Z CYCLE: 8/12 localized +2026-02-05T20:01:51.000Z CYCLE: 9/12 localized +2026-02-05T20:02:01.000Z CYCLE: 9/12 localized +2026-02-05T20:02:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:02:11.000Z CYCLE: 8/12 localized +2026-02-05T20:02:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:02:21.000Z CYCLE: 8/12 localized +2026-02-05T20:02:31.000Z CYCLE: 9/12 localized +2026-02-05T20:02:41.000Z CYCLE: 9/12 localized +2026-02-05T20:02:51.000Z CYCLE: 9/12 localized +2026-02-05T20:03:01.000Z CYCLE: 9/12 localized +2026-02-05T20:03:11.000Z CYCLE: 9/12 localized +2026-02-05T20:03:21.000Z CYCLE: 9/12 localized +2026-02-05T20:03:31.000Z CYCLE: 9/12 localized +2026-02-05T20:03:42.000Z CYCLE: 9/12 localized +2026-02-05T20:03:52.000Z CYCLE: 9/12 localized +2026-02-05T20:04:02.000Z CYCLE: 9/12 localized +2026-02-05T20:04:12.000Z CYCLE: 9/12 localized +2026-02-05T20:04:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:04:22.000Z CYCLE: 8/12 localized +2026-02-05T20:04:32.000Z CYCLE: 9/12 localized +2026-02-05T20:04:42.000Z CYCLE: 9/12 localized +2026-02-05T20:04:52.000Z CYCLE: 9/12 localized +2026-02-05T20:05:02.000Z CYCLE: 9/12 localized +2026-02-05T20:05:12.000Z CYCLE: 9/12 localized +2026-02-05T20:05:22.000Z CYCLE: 9/12 localized +2026-02-05T20:05:32.000Z CYCLE: 9/12 localized +2026-02-05T20:05:42.000Z CYCLE: 9/12 localized +2026-02-05T20:05:52.000Z CYCLE: 9/12 localized +2026-02-05T20:06:02.000Z CYCLE: 9/12 localized +2026-02-05T20:06:13.000Z CYCLE: 9/12 localized +2026-02-05T20:06:23.000Z CYCLE: 9/12 localized +2026-02-05T20:06:33.000Z CYCLE: 9/12 localized +2026-02-05T20:06:43.000Z CYCLE: 9/12 localized +2026-02-05T20:06:53.000Z CYCLE: 9/12 localized +2026-02-05T20:07:03.000Z CYCLE: 9/12 localized +2026-02-05T20:07:13.000Z CYCLE: 9/12 localized +2026-02-05T20:07:23.000Z CYCLE: 9/12 localized +2026-02-05T20:07:33.000Z CYCLE: 9/12 localized +2026-02-05T20:07:43.000Z CYCLE: 9/12 localized +2026-02-05T20:07:53.000Z CYCLE: 9/12 localized +2026-02-05T20:08:03.000Z CYCLE: 9/12 localized +2026-02-05T20:08:13.000Z CYCLE: 9/12 localized +2026-02-05T20:08:23.000Z CYCLE: 9/12 localized +2026-02-05T20:08:33.000Z CYCLE: 9/12 localized +2026-02-05T20:08:44.000Z CYCLE: 9/12 localized +2026-02-05T20:08:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:08:54.000Z CYCLE: 8/12 localized +2026-02-05T20:09:04.000Z CYCLE: 9/12 localized +2026-02-05T20:09:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:09:14.000Z CYCLE: 8/12 localized +2026-02-05T20:09:24.000Z CYCLE: 9/12 localized +2026-02-05T20:09:34.000Z CYCLE: 9/12 localized +2026-02-05T20:09:44.000Z CYCLE: 9/12 localized +2026-02-05T20:09:54.000Z CYCLE: 9/12 localized +2026-02-05T20:10:04.000Z CYCLE: 9/12 localized +2026-02-05T20:10:14.000Z CYCLE: 9/12 localized +2026-02-05T20:10:24.000Z CYCLE: 9/12 localized +2026-02-05T20:10:34.000Z CYCLE: 9/12 localized +2026-02-05T20:10:44.000Z CYCLE: 9/12 localized +2026-02-05T20:10:54.000Z CYCLE: 9/12 localized +2026-02-05T20:11:04.000Z CYCLE: 9/12 localized +2026-02-05T20:11:15.000Z CYCLE: 9/12 localized +2026-02-05T20:11:25.000Z CYCLE: 9/12 localized +2026-02-05T20:11:35.000Z CYCLE: 9/12 localized +2026-02-05T20:11:45.000Z CYCLE: 9/12 localized +2026-02-05T20:11:55.000Z CYCLE: 9/12 localized +2026-02-05T20:12:05.000Z CYCLE: 9/12 localized +2026-02-05T20:12:15.000Z CYCLE: 9/12 localized +2026-02-05T20:12:25.000Z CYCLE: 9/12 localized +2026-02-05T20:12:35.000Z CYCLE: 9/12 localized +2026-02-05T20:12:45.000Z CYCLE: 9/12 localized +2026-02-05T20:12:55.000Z CYCLE: 9/12 localized +2026-02-05T20:13:05.000Z CYCLE: 9/12 localized +2026-02-05T20:13:15.000Z CYCLE: 9/12 localized +2026-02-05T20:13:25.000Z CYCLE: 9/12 localized +2026-02-05T20:13:35.000Z CYCLE: 9/12 localized +2026-02-05T20:13:46.000Z CYCLE: 9/12 localized +2026-02-05T20:13:56.000Z CYCLE: 9/12 localized +2026-02-05T20:14:06.000Z CYCLE: 9/12 localized +2026-02-05T20:14:16.000Z CYCLE: 9/12 localized +2026-02-05T20:14:26.000Z CYCLE: 9/12 localized +2026-02-05T20:14:36.000Z CYCLE: 9/12 localized +2026-02-05T20:14:46.000Z CYCLE: 9/12 localized +2026-02-05T20:14:56.000Z CYCLE: 9/12 localized +2026-02-05T20:15:06.000Z CYCLE: 9/12 localized +2026-02-05T20:15:16.000Z CYCLE: 9/12 localized +2026-02-05T20:15:26.000Z CYCLE: 9/12 localized +2026-02-05T20:15:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:15:36.000Z CYCLE: 8/12 localized +2026-02-05T20:15:46.000Z CYCLE: 9/12 localized +2026-02-05T20:15:56.000Z CYCLE: 9/12 localized +2026-02-05T20:16:06.000Z CYCLE: 9/12 localized +2026-02-05T20:16:17.000Z CYCLE: 9/12 localized +2026-02-05T20:16:27.000Z CYCLE: 9/12 localized +2026-02-05T20:16:37.000Z CYCLE: 9/12 localized +2026-02-05T20:16:47.000Z CYCLE: 9/12 localized +2026-02-05T20:16:57.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:16:57.000Z CYCLE: 8/12 localized +2026-02-05T20:17:07.000Z CYCLE: 9/12 localized +2026-02-05T20:17:17.000Z CYCLE: 9/12 localized +2026-02-05T20:17:27.000Z CYCLE: 9/12 localized +2026-02-05T20:17:37.000Z CYCLE: 9/12 localized +2026-02-05T20:17:47.000Z CYCLE: 9/12 localized +2026-02-05T20:17:57.000Z CYCLE: 9/12 localized +2026-02-05T20:18:07.000Z CYCLE: 9/12 localized +2026-02-05T20:18:17.000Z CYCLE: 9/12 localized +2026-02-05T20:18:27.000Z CYCLE: 9/12 localized +2026-02-05T20:18:37.000Z CYCLE: 9/12 localized +2026-02-05T20:18:48.000Z CYCLE: 9/12 localized +2026-02-05T20:18:58.000Z CYCLE: 9/12 localized +2026-02-05T20:19:08.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:19:08.000Z CYCLE: 8/12 localized +2026-02-05T20:19:18.000Z CYCLE: 9/12 localized +2026-02-05T20:19:28.000Z CYCLE: 9/12 localized +2026-02-05T20:19:38.000Z CYCLE: 9/12 localized +2026-02-05T20:19:48.000Z CYCLE: 9/12 localized +2026-02-05T20:19:58.000Z CYCLE: 9/12 localized +2026-02-05T20:20:08.000Z CYCLE: 9/12 localized +2026-02-05T20:20:18.000Z CYCLE: 9/12 localized +2026-02-05T20:20:28.000Z CYCLE: 9/12 localized +2026-02-05T20:20:38.000Z CYCLE: 9/12 localized +2026-02-05T20:20:48.000Z CYCLE: 9/12 localized +2026-02-05T20:20:58.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:20:58.000Z CYCLE: 8/12 localized +2026-02-05T20:21:08.000Z CYCLE: 9/12 localized +2026-02-05T20:21:19.000Z CYCLE: 9/12 localized +2026-02-05T20:21:29.000Z CYCLE: 9/12 localized +2026-02-05T20:21:39.000Z CYCLE: 9/12 localized +2026-02-05T20:21:49.000Z CYCLE: 9/12 localized +2026-02-05T20:21:59.000Z CYCLE: 9/12 localized +2026-02-05T20:22:09.000Z CYCLE: 9/12 localized +2026-02-05T20:22:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:22:19.000Z CYCLE: 8/12 localized +2026-02-05T20:22:29.000Z CYCLE: 9/12 localized +2026-02-05T20:22:39.000Z CYCLE: 9/12 localized +2026-02-05T20:22:49.000Z CYCLE: 9/12 localized +2026-02-05T20:22:59.000Z CYCLE: 9/12 localized +2026-02-05T20:23:09.000Z CYCLE: 9/12 localized +2026-02-05T20:23:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:23:19.000Z CYCLE: 8/12 localized +2026-02-05T20:23:29.000Z CYCLE: 9/12 localized +2026-02-05T20:23:40.000Z CYCLE: 9/12 localized +2026-02-05T20:23:50.000Z CYCLE: 9/12 localized +2026-02-05T20:24:00.000Z CYCLE: 9/12 localized +2026-02-05T20:24:10.000Z CYCLE: 9/12 localized +2026-02-05T20:24:20.000Z CYCLE: 9/12 localized +2026-02-05T20:24:30.000Z CYCLE: 9/12 localized +2026-02-05T20:24:40.000Z CYCLE: 9/12 localized +2026-02-05T20:24:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:24:50.000Z CYCLE: 8/12 localized +2026-02-05T20:25:00.000Z CYCLE: 9/12 localized +2026-02-05T20:25:10.000Z CYCLE: 9/12 localized +2026-02-05T20:25:20.000Z CYCLE: 9/12 localized +2026-02-05T20:25:30.000Z CYCLE: 9/12 localized +2026-02-05T20:25:40.000Z CYCLE: 9/12 localized +2026-02-05T20:25:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:25:50.000Z CYCLE: 8/12 localized +2026-02-05T20:26:00.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:26:00.000Z CYCLE: 8/12 localized +2026-02-05T20:26:11.000Z CYCLE: 9/12 localized +2026-02-05T20:26:21.000Z CYCLE: 9/12 localized +2026-02-05T20:26:31.000Z CYCLE: 9/12 localized +2026-02-05T20:26:41.000Z CYCLE: 9/12 localized +2026-02-05T20:26:51.000Z CYCLE: 9/12 localized +2026-02-05T20:27:01.000Z CYCLE: 9/12 localized +2026-02-05T20:27:11.000Z CYCLE: 9/12 localized +2026-02-05T20:27:21.000Z CYCLE: 9/12 localized +2026-02-05T20:27:31.000Z CYCLE: 9/12 localized +2026-02-05T20:27:41.000Z CYCLE: 9/12 localized +2026-02-05T20:27:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:27:51.000Z CYCLE: 8/12 localized +2026-02-05T20:28:01.000Z CYCLE: 9/12 localized +2026-02-05T20:28:11.000Z CYCLE: 9/12 localized +2026-02-05T20:28:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:28:21.000Z CYCLE: 8/12 localized +2026-02-05T20:28:32.000Z CYCLE: 9/12 localized +2026-02-05T20:28:42.000Z CYCLE: 9/12 localized +2026-02-05T20:28:52.000Z CYCLE: 9/12 localized +2026-02-05T20:29:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:29:02.000Z CYCLE: 8/12 localized +2026-02-05T20:29:12.000Z CYCLE: 9/12 localized +2026-02-05T20:29:22.000Z CYCLE: 9/12 localized +2026-02-05T20:29:32.000Z CYCLE: 9/12 localized +2026-02-05T20:29:42.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:29:42.000Z CYCLE: 8/12 localized +2026-02-05T20:29:52.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:29:52.000Z CYCLE: 8/12 localized +2026-02-05T20:30:02.000Z CYCLE: 9/12 localized +2026-02-05T20:30:12.000Z CYCLE: 9/12 localized +2026-02-05T20:30:22.000Z CYCLE: 9/12 localized +2026-02-05T20:30:32.000Z CYCLE: 9/12 localized +2026-02-05T20:30:42.000Z CYCLE: 9/12 localized +2026-02-05T20:30:52.000Z CYCLE: 9/12 localized +2026-02-05T20:31:02.000Z CYCLE: 9/12 localized +2026-02-05T20:31:13.000Z CYCLE: 9/12 localized +2026-02-05T20:31:23.000Z CYCLE: 9/12 localized +2026-02-05T20:31:33.000Z CYCLE: 9/12 localized +2026-02-05T20:31:43.000Z CYCLE: 9/12 localized +2026-02-05T20:31:53.000Z CYCLE: 9/12 localized +2026-02-05T20:32:03.000Z CYCLE: 9/12 localized +2026-02-05T20:32:13.000Z CYCLE: 9/12 localized +2026-02-05T20:32:23.000Z CYCLE: 9/12 localized +2026-02-05T20:32:33.000Z CYCLE: 9/12 localized +2026-02-05T20:32:43.000Z CYCLE: 9/12 localized +2026-02-05T20:32:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:32:53.000Z CYCLE: 8/12 localized +2026-02-05T20:33:03.000Z CYCLE: 9/12 localized +2026-02-05T20:33:13.000Z CYCLE: 9/12 localized +2026-02-05T20:33:23.000Z CYCLE: 9/12 localized +2026-02-05T20:33:34.000Z CYCLE: 9/12 localized +2026-02-05T20:33:44.000Z CYCLE: 9/12 localized +2026-02-05T20:33:54.000Z CYCLE: 9/12 localized +2026-02-05T20:34:04.000Z CYCLE: 9/12 localized +2026-02-05T20:34:14.000Z CYCLE: 9/12 localized +2026-02-05T20:34:24.000Z CYCLE: 9/12 localized +2026-02-05T20:34:34.000Z CYCLE: 9/12 localized +2026-02-05T20:34:44.000Z CYCLE: 9/12 localized +2026-02-05T20:34:54.000Z CYCLE: 9/12 localized +2026-02-05T20:35:04.000Z CYCLE: 9/12 localized +2026-02-05T20:35:14.000Z CYCLE: 9/12 localized +2026-02-05T20:35:24.000Z CYCLE: 9/12 localized +2026-02-05T20:35:34.000Z CYCLE: 9/12 localized +2026-02-05T20:35:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:35:44.000Z CYCLE: 8/12 localized +2026-02-05T20:35:54.000Z CYCLE: 9/12 localized +2026-02-05T20:36:05.000Z CYCLE: 9/12 localized +2026-02-05T20:36:15.000Z CYCLE: 9/12 localized +2026-02-05T20:36:25.000Z CYCLE: 9/12 localized +2026-02-05T20:36:35.000Z CYCLE: 9/12 localized +2026-02-05T20:36:45.000Z CYCLE: 9/12 localized +2026-02-05T20:36:55.000Z CYCLE: 9/12 localized +2026-02-05T20:37:05.000Z CYCLE: 9/12 localized +2026-02-05T20:37:15.000Z CYCLE: 9/12 localized +2026-02-05T20:37:25.000Z CYCLE: 9/12 localized +2026-02-05T20:37:35.000Z CYCLE: 9/12 localized +2026-02-05T20:37:45.000Z CYCLE: 9/12 localized +2026-02-05T20:37:55.000Z CYCLE: 9/12 localized +2026-02-05T20:38:05.000Z CYCLE: 9/12 localized +2026-02-05T20:38:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:38:15.000Z CYCLE: 8/12 localized +2026-02-05T20:38:25.000Z CYCLE: 9/12 localized +2026-02-05T20:38:36.000Z CYCLE: 9/12 localized +2026-02-05T20:38:46.000Z CYCLE: 9/12 localized +2026-02-05T20:38:56.000Z CYCLE: 9/12 localized +2026-02-05T20:39:06.000Z CYCLE: 9/12 localized +2026-02-05T20:39:16.000Z CYCLE: 9/12 localized +2026-02-05T20:39:26.000Z CYCLE: 9/12 localized +2026-02-05T20:39:36.000Z CYCLE: 9/12 localized +2026-02-05T20:39:46.000Z CYCLE: 9/12 localized +2026-02-05T20:39:56.000Z CYCLE: 9/12 localized +2026-02-05T20:40:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:40:06.000Z CYCLE: 8/12 localized +2026-02-05T20:40:16.000Z CYCLE: 9/12 localized +2026-02-05T20:40:26.000Z CYCLE: 9/12 localized +2026-02-05T20:40:36.000Z CYCLE: 9/12 localized +2026-02-05T20:40:46.000Z CYCLE: 9/12 localized +2026-02-05T20:40:57.000Z CYCLE: 9/12 localized +2026-02-05T20:41:07.000Z CYCLE: 9/12 localized +2026-02-05T20:41:17.000Z CYCLE: 9/12 localized +2026-02-05T20:41:27.000Z CYCLE: 9/12 localized +2026-02-05T20:41:37.000Z CYCLE: 9/12 localized +2026-02-05T20:41:47.000Z CYCLE: 9/12 localized +2026-02-05T20:41:57.000Z CYCLE: 9/12 localized +2026-02-05T20:42:07.000Z CYCLE: 9/12 localized +2026-02-05T20:42:17.000Z CYCLE: 9/12 localized +2026-02-05T20:42:27.000Z CYCLE: 9/12 localized +2026-02-05T20:42:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:42:37.000Z CYCLE: 8/12 localized +2026-02-05T20:42:47.000Z CYCLE: 9/12 localized +2026-02-05T20:42:57.000Z CYCLE: 9/12 localized +2026-02-05T20:43:07.000Z CYCLE: 9/12 localized +2026-02-05T20:43:17.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:43:17.000Z CYCLE: 8/12 localized +2026-02-05T20:43:28.000Z CYCLE: 9/12 localized +2026-02-05T20:43:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:43:38.000Z CYCLE: 8/12 localized +2026-02-05T20:43:48.000Z CYCLE: 9/12 localized +2026-02-05T20:43:58.000Z CYCLE: 9/12 localized +2026-02-05T20:44:08.000Z CYCLE: 9/12 localized +2026-02-05T20:44:18.000Z CYCLE: 9/12 localized +2026-02-05T20:44:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:44:28.000Z CYCLE: 8/12 localized +2026-02-05T20:44:38.000Z CYCLE: 9/12 localized +2026-02-05T20:44:48.000Z CYCLE: 9/12 localized +2026-02-05T20:44:58.000Z CYCLE: 9/12 localized +2026-02-05T20:45:08.000Z CYCLE: 9/12 localized +2026-02-05T20:45:18.000Z CYCLE: 9/12 localized +2026-02-05T20:45:28.000Z CYCLE: 9/12 localized +2026-02-05T20:45:38.000Z CYCLE: 9/12 localized +2026-02-05T20:45:49.000Z CYCLE: 9/12 localized +2026-02-05T20:45:59.000Z CYCLE: 9/12 localized +2026-02-05T20:46:09.000Z CYCLE: 9/12 localized +2026-02-05T20:46:19.000Z CYCLE: 9/12 localized +2026-02-05T20:46:29.000Z CYCLE: 9/12 localized +2026-02-05T20:46:39.000Z CYCLE: 9/12 localized +2026-02-05T20:46:49.000Z CYCLE: 9/12 localized +2026-02-05T20:46:59.000Z CYCLE: 9/12 localized +2026-02-05T20:47:09.000Z CYCLE: 9/12 localized +2026-02-05T20:47:19.000Z CYCLE: 9/12 localized +2026-02-05T20:47:29.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:47:29.000Z CYCLE: 8/12 localized +2026-02-05T20:47:39.000Z CYCLE: 9/12 localized +2026-02-05T20:47:49.000Z CYCLE: 9/12 localized +2026-02-05T20:47:59.000Z CYCLE: 9/12 localized +2026-02-05T20:48:09.000Z CYCLE: 9/12 localized +2026-02-05T20:48:20.000Z CYCLE: 9/12 localized +2026-02-05T20:48:30.000Z CYCLE: 9/12 localized +2026-02-05T20:48:40.000Z CYCLE: 9/12 localized +2026-02-05T20:48:50.000Z CYCLE: 9/12 localized +2026-02-05T20:49:00.000Z CYCLE: 9/12 localized +2026-02-05T20:49:10.000Z CYCLE: 9/12 localized +2026-02-05T20:49:20.000Z CYCLE: 9/12 localized +2026-02-05T20:49:30.000Z CYCLE: 9/12 localized +2026-02-05T20:49:40.000Z CYCLE: 9/12 localized +2026-02-05T20:49:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:49:50.000Z CYCLE: 8/12 localized +2026-02-05T20:50:00.000Z CYCLE: 9/12 localized +2026-02-05T20:50:10.000Z CYCLE: 9/12 localized +2026-02-05T20:50:20.000Z CYCLE: 9/12 localized +2026-02-05T20:50:31.000Z CYCLE: 9/12 localized +2026-02-05T20:50:41.000Z CYCLE: 9/12 localized +2026-02-05T20:50:51.000Z CYCLE: 9/12 localized +2026-02-05T20:51:01.000Z CYCLE: 9/12 localized +2026-02-05T20:51:11.000Z CYCLE: 9/12 localized +2026-02-05T20:51:21.000Z CYCLE: 9/12 localized +2026-02-05T20:51:31.000Z CYCLE: 9/12 localized +2026-02-05T20:51:41.000Z CYCLE: 9/12 localized +2026-02-05T20:51:51.000Z CYCLE: 9/12 localized +2026-02-05T20:52:01.000Z CYCLE: 9/12 localized +2026-02-05T20:52:11.000Z CYCLE: 9/12 localized +2026-02-05T20:52:21.000Z CYCLE: 9/12 localized +2026-02-05T20:52:31.000Z CYCLE: 9/12 localized +2026-02-05T20:52:41.000Z CYCLE: 9/12 localized +2026-02-05T20:52:51.000Z CYCLE: 9/12 localized +2026-02-05T20:53:02.000Z CYCLE: 9/12 localized +2026-02-05T20:53:12.000Z CYCLE: 9/12 localized +2026-02-05T20:53:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:53:22.000Z CYCLE: 8/12 localized +2026-02-05T20:53:32.000Z CYCLE: 9/12 localized +2026-02-05T20:53:42.000Z CYCLE: 9/12 localized +2026-02-05T20:53:52.000Z CYCLE: 9/12 localized +2026-02-05T20:54:02.000Z CYCLE: 9/12 localized +2026-02-05T20:54:12.000Z CYCLE: 9/12 localized +2026-02-05T20:54:22.000Z CYCLE: 9/12 localized +2026-02-05T20:54:32.000Z CYCLE: 9/12 localized +2026-02-05T20:54:42.000Z CYCLE: 9/12 localized +2026-02-05T20:54:52.000Z CYCLE: 9/12 localized +2026-02-05T20:55:02.000Z CYCLE: 9/12 localized +2026-02-05T20:55:12.000Z CYCLE: 9/12 localized +2026-02-05T20:55:22.000Z CYCLE: 9/12 localized +2026-02-05T20:55:32.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:55:32.000Z CYCLE: 8/12 localized +2026-02-05T20:55:43.000Z CYCLE: 9/12 localized +2026-02-05T20:55:53.000Z CYCLE: 9/12 localized +2026-02-05T20:56:03.000Z CYCLE: 9/12 localized +2026-02-05T20:56:13.000Z CYCLE: 9/12 localized +2026-02-05T20:56:23.000Z CYCLE: 9/12 localized +2026-02-05T20:56:33.000Z CYCLE: 9/12 localized +2026-02-05T20:56:43.000Z CYCLE: 9/12 localized +2026-02-05T20:56:53.000Z CYCLE: 9/12 localized +2026-02-05T20:57:03.000Z CYCLE: 9/12 localized +2026-02-05T20:57:13.000Z CYCLE: 9/12 localized +2026-02-05T20:57:23.000Z CYCLE: 9/12 localized +2026-02-05T20:57:33.000Z CYCLE: 9/12 localized +2026-02-05T20:57:43.000Z CYCLE: 9/12 localized +2026-02-05T20:57:53.000Z CYCLE: 9/12 localized +2026-02-05T20:58:03.000Z CYCLE: 9/12 localized +2026-02-05T20:58:14.000Z CYCLE: 9/12 localized +2026-02-05T20:58:24.000Z CYCLE: 9/12 localized +2026-02-05T20:58:34.000Z CYCLE: 9/12 localized +2026-02-05T20:58:44.000Z CYCLE: 9/12 localized +2026-02-05T20:58:54.000Z CYCLE: 9/12 localized +2026-02-05T20:59:04.000Z CYCLE: 9/12 localized +2026-02-05T20:59:14.000Z CYCLE: 9/12 localized +2026-02-05T20:59:24.000Z CYCLE: 9/12 localized +2026-02-05T20:59:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T20:59:34.000Z CYCLE: 8/12 localized +2026-02-05T20:59:44.000Z CYCLE: 9/12 localized +2026-02-05T20:59:54.000Z CYCLE: 9/12 localized +2026-02-05T21:00:04.000Z CYCLE: 9/12 localized +2026-02-05T21:00:14.000Z CYCLE: 9/12 localized +2026-02-05T21:00:24.000Z CYCLE: 9/12 localized +2026-02-05T21:00:35.000Z CYCLE: 9/12 localized +2026-02-05T21:00:45.000Z CYCLE: 9/12 localized +2026-02-05T21:00:55.000Z CYCLE: 9/12 localized +2026-02-05T21:01:05.000Z CYCLE: 9/12 localized +2026-02-05T21:01:15.000Z CYCLE: 9/12 localized +2026-02-05T21:01:25.000Z CYCLE: 9/12 localized +2026-02-05T21:01:35.000Z CYCLE: 9/12 localized +2026-02-05T21:01:45.000Z CYCLE: 9/12 localized +2026-02-05T21:01:55.000Z CYCLE: 9/12 localized +2026-02-05T21:02:05.000Z CYCLE: 9/12 localized +2026-02-05T21:02:15.000Z CYCLE: 9/12 localized +2026-02-05T21:02:25.000Z CYCLE: 9/12 localized +2026-02-05T21:02:35.000Z CYCLE: 9/12 localized +2026-02-05T21:02:45.000Z CYCLE: 9/12 localized +2026-02-05T21:02:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:02:55.000Z CYCLE: 8/12 localized +2026-02-05T21:03:06.000Z CYCLE: 9/12 localized +2026-02-05T21:03:16.000Z CYCLE: 9/12 localized +2026-02-05T21:03:26.000Z CYCLE: 9/12 localized +2026-02-05T21:03:36.000Z CYCLE: 9/12 localized +2026-02-05T21:03:46.000Z CYCLE: 9/12 localized +2026-02-05T21:03:56.000Z CYCLE: 9/12 localized +2026-02-05T21:04:06.000Z CYCLE: 9/12 localized +2026-02-05T21:04:16.000Z CYCLE: 9/12 localized +2026-02-05T21:04:26.000Z CYCLE: 9/12 localized +2026-02-05T21:04:36.000Z CYCLE: 9/12 localized +2026-02-05T21:04:46.000Z CYCLE: 9/12 localized +2026-02-05T21:04:56.000Z CYCLE: 9/12 localized +2026-02-05T21:05:06.000Z CYCLE: 9/12 localized +2026-02-05T21:05:16.000Z CYCLE: 9/12 localized +2026-02-05T21:05:27.000Z CYCLE: 9/12 localized +2026-02-05T21:05:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:05:37.000Z CYCLE: 8/12 localized +2026-02-05T21:05:47.000Z CYCLE: 9/12 localized +2026-02-05T21:05:57.000Z CYCLE: 9/12 localized +2026-02-05T21:06:07.000Z CYCLE: 9/12 localized +2026-02-05T21:06:17.000Z CYCLE: 9/12 localized +2026-02-05T21:06:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:06:27.000Z CYCLE: 8/12 localized +2026-02-05T21:06:37.000Z CYCLE: 9/12 localized +2026-02-05T21:06:47.000Z CYCLE: 9/12 localized +2026-02-05T21:06:57.000Z CYCLE: 9/12 localized +2026-02-05T21:07:07.000Z CYCLE: 9/12 localized +2026-02-05T21:07:17.000Z CYCLE: 9/12 localized +2026-02-05T21:07:27.000Z CYCLE: 9/12 localized +2026-02-05T21:07:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:07:37.000Z CYCLE: 8/12 localized +2026-02-05T21:07:47.000Z CYCLE: 9/12 localized +2026-02-05T21:07:58.000Z CYCLE: 9/12 localized +2026-02-05T21:08:08.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:08:08.000Z CYCLE: 8/12 localized +2026-02-05T21:08:18.000Z CYCLE: 9/12 localized +2026-02-05T21:08:28.000Z CYCLE: 9/12 localized +2026-02-05T21:08:38.000Z CYCLE: 9/12 localized +2026-02-05T21:08:48.000Z CYCLE: 9/12 localized +2026-02-05T21:08:58.000Z CYCLE: 9/12 localized +2026-02-05T21:09:08.000Z CYCLE: 9/12 localized +2026-02-05T21:09:18.000Z CYCLE: 9/12 localized +2026-02-05T21:09:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:09:28.000Z CYCLE: 8/12 localized +2026-02-05T21:09:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:09:38.000Z CYCLE: 8/12 localized +2026-02-05T21:09:48.000Z CYCLE: 9/12 localized +2026-02-05T21:09:58.000Z CYCLE: 9/12 localized +2026-02-05T21:10:08.000Z CYCLE: 9/12 localized +2026-02-05T21:10:18.000Z CYCLE: 9/12 localized +2026-02-05T21:10:29.000Z CYCLE: 9/12 localized +2026-02-05T21:10:39.000Z CYCLE: 9/12 localized +2026-02-05T21:10:49.000Z CYCLE: 9/12 localized +2026-02-05T21:10:59.000Z CYCLE: 9/12 localized +2026-02-05T21:11:09.000Z CYCLE: 9/12 localized +2026-02-05T21:11:19.000Z CYCLE: 9/12 localized +2026-02-05T21:11:29.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:11:29.000Z CYCLE: 8/12 localized +2026-02-05T21:11:39.000Z CYCLE: 9/12 localized +2026-02-05T21:11:49.000Z CYCLE: 9/12 localized +2026-02-05T21:11:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:11:59.000Z CYCLE: 8/12 localized +2026-02-05T21:12:09.000Z CYCLE: 9/12 localized +2026-02-05T21:12:19.000Z CYCLE: 9/12 localized +2026-02-05T21:12:29.000Z CYCLE: 9/12 localized +2026-02-05T21:12:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:12:39.000Z CYCLE: 8/12 localized +2026-02-05T21:12:49.000Z CYCLE: 9/12 localized +2026-02-05T21:13:00.000Z CYCLE: 9/12 localized +2026-02-05T21:13:10.000Z CYCLE: 9/12 localized +2026-02-05T21:13:20.000Z CYCLE: 9/12 localized +2026-02-05T21:13:30.000Z CYCLE: 9/12 localized +2026-02-05T21:13:40.000Z CYCLE: 9/12 localized +2026-02-05T21:13:50.000Z CYCLE: 9/12 localized +2026-02-05T21:14:00.000Z CYCLE: 9/12 localized +2026-02-05T21:14:10.000Z CYCLE: 9/12 localized +2026-02-05T21:14:20.000Z CYCLE: 9/12 localized +2026-02-05T21:14:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:14:30.000Z CYCLE: 8/12 localized +2026-02-05T21:14:40.000Z CYCLE: 9/12 localized +2026-02-05T21:14:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:14:50.000Z CYCLE: 8/12 localized +2026-02-05T21:15:00.000Z CYCLE: 9/12 localized +2026-02-05T21:15:10.000Z CYCLE: 9/12 localized +2026-02-05T21:15:21.000Z CYCLE: 9/12 localized +2026-02-05T21:15:31.000Z CYCLE: 9/12 localized +2026-02-05T21:15:41.000Z CYCLE: 9/12 localized +2026-02-05T21:15:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:15:51.000Z CYCLE: 8/12 localized +2026-02-05T21:16:01.000Z CYCLE: 9/12 localized +2026-02-05T21:16:11.000Z CYCLE: 9/12 localized +2026-02-05T21:16:21.000Z CYCLE: 9/12 localized +2026-02-05T21:16:31.000Z CYCLE: 9/12 localized +2026-02-05T21:16:41.000Z CYCLE: 9/12 localized +2026-02-05T21:16:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:16:51.000Z CYCLE: 8/12 localized +2026-02-05T21:17:01.000Z CYCLE: 9/12 localized +2026-02-05T21:17:11.000Z CYCLE: 9/12 localized +2026-02-05T21:17:21.000Z CYCLE: 9/12 localized +2026-02-05T21:17:31.000Z CYCLE: 9/12 localized +2026-02-05T21:17:42.000Z CYCLE: 9/12 localized +2026-02-05T21:17:52.000Z CYCLE: 9/12 localized +2026-02-05T21:18:02.000Z CYCLE: 9/12 localized +2026-02-05T21:18:12.000Z CYCLE: 9/12 localized +2026-02-05T21:18:22.000Z CYCLE: 9/12 localized +2026-02-05T21:18:32.000Z CYCLE: 9/12 localized +2026-02-05T21:18:42.000Z CYCLE: 9/12 localized +2026-02-05T21:18:52.000Z CYCLE: 9/12 localized +2026-02-05T21:19:02.000Z CYCLE: 9/12 localized +2026-02-05T21:19:12.000Z CYCLE: 9/12 localized +2026-02-05T21:19:22.000Z CYCLE: 9/12 localized +2026-02-05T21:19:32.000Z CYCLE: 9/12 localized +2026-02-05T21:19:42.000Z CYCLE: 9/12 localized +2026-02-05T21:19:52.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:19:52.000Z CYCLE: 8/12 localized +2026-02-05T21:20:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:20:02.000Z CYCLE: 8/12 localized +2026-02-05T21:20:13.000Z CYCLE: 9/12 localized +2026-02-05T21:20:23.000Z CYCLE: 9/12 localized +2026-02-05T21:20:33.000Z CYCLE: 9/12 localized +2026-02-05T21:20:43.000Z CYCLE: 9/12 localized +2026-02-05T21:20:53.000Z CYCLE: 9/12 localized +2026-02-05T21:21:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:21:03.000Z CYCLE: 8/12 localized +2026-02-05T21:21:13.000Z CYCLE: 9/12 localized +2026-02-05T21:21:23.000Z CYCLE: 9/12 localized +2026-02-05T21:21:33.000Z CYCLE: 9/12 localized +2026-02-05T21:21:43.000Z CYCLE: 9/12 localized +2026-02-05T21:21:53.000Z CYCLE: 9/12 localized +2026-02-05T21:22:03.000Z CYCLE: 9/12 localized +2026-02-05T21:22:13.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:22:13.000Z CYCLE: 8/12 localized +2026-02-05T21:22:23.000Z CYCLE: 9/12 localized +2026-02-05T21:22:33.000Z CYCLE: 9/12 localized +2026-02-05T21:22:44.000Z CYCLE: 9/12 localized +2026-02-05T21:22:54.000Z CYCLE: 9/12 localized +2026-02-05T21:23:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:23:04.000Z CYCLE: 8/12 localized +2026-02-05T21:23:14.000Z CYCLE: 9/12 localized +2026-02-05T21:23:24.000Z CYCLE: 9/12 localized +2026-02-05T21:23:34.000Z CYCLE: 9/12 localized +2026-02-05T21:23:44.000Z CYCLE: 9/12 localized +2026-02-05T21:23:54.000Z CYCLE: 9/12 localized +2026-02-05T21:24:04.000Z CYCLE: 9/12 localized +2026-02-05T21:24:14.000Z CYCLE: 9/12 localized +2026-02-05T21:24:24.000Z CYCLE: 9/12 localized +2026-02-05T21:24:34.000Z CYCLE: 9/12 localized +2026-02-05T21:24:44.000Z CYCLE: 9/12 localized +2026-02-05T21:24:54.000Z CYCLE: 9/12 localized +2026-02-05T21:25:04.000Z CYCLE: 9/12 localized +2026-02-05T21:25:15.000Z CYCLE: 9/12 localized +2026-02-05T21:25:25.000Z CYCLE: 9/12 localized +2026-02-05T21:25:35.000Z CYCLE: 9/12 localized +2026-02-05T21:25:45.000Z CYCLE: 9/12 localized +2026-02-05T21:25:55.000Z CYCLE: 9/12 localized +2026-02-05T21:26:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:26:05.000Z CYCLE: 8/12 localized +2026-02-05T21:26:15.000Z CYCLE: 9/12 localized +2026-02-05T21:26:25.000Z CYCLE: 9/12 localized +2026-02-05T21:26:35.000Z CYCLE: 9/12 localized +2026-02-05T21:26:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:26:45.000Z CYCLE: 8/12 localized +2026-02-05T21:26:55.000Z CYCLE: 9/12 localized +2026-02-05T21:27:05.000Z CYCLE: 9/12 localized +2026-02-05T21:27:15.000Z CYCLE: 9/12 localized +2026-02-05T21:27:25.000Z CYCLE: 9/12 localized +2026-02-05T21:27:35.000Z CYCLE: 9/12 localized +2026-02-05T21:27:46.000Z CYCLE: 9/12 localized +2026-02-05T21:27:56.000Z CYCLE: 9/12 localized +2026-02-05T21:28:06.000Z CYCLE: 9/12 localized +2026-02-05T21:28:16.000Z CYCLE: 9/12 localized +2026-02-05T21:28:26.000Z CYCLE: 9/12 localized +2026-02-05T21:28:36.000Z CYCLE: 9/12 localized +2026-02-05T21:28:46.000Z CYCLE: 9/12 localized +2026-02-05T21:28:56.000Z CYCLE: 9/12 localized +2026-02-05T21:29:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:29:06.000Z CYCLE: 8/12 localized +2026-02-05T21:29:16.000Z CYCLE: 9/12 localized +2026-02-05T21:29:26.000Z CYCLE: 9/12 localized +2026-02-05T21:29:36.000Z CYCLE: 9/12 localized +2026-02-05T21:29:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:29:46.000Z CYCLE: 8/12 localized +2026-02-05T21:29:56.000Z CYCLE: 9/12 localized +2026-02-05T21:30:06.000Z CYCLE: 9/12 localized +2026-02-05T21:30:17.000Z CYCLE: 9/12 localized +2026-02-05T21:30:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:30:27.000Z CYCLE: 8/12 localized +2026-02-05T21:30:37.000Z CYCLE: 9/12 localized +2026-02-05T21:30:47.000Z CYCLE: 9/12 localized +2026-02-05T21:30:57.000Z CYCLE: 9/12 localized +2026-02-05T21:31:07.000Z CYCLE: 9/12 localized +2026-02-05T21:31:17.000Z CYCLE: 9/12 localized +2026-02-05T21:31:27.000Z CYCLE: 9/12 localized +2026-02-05T21:31:37.000Z CYCLE: 9/12 localized +2026-02-05T21:31:47.000Z CYCLE: 9/12 localized +2026-02-05T21:31:57.000Z CYCLE: 9/12 localized +2026-02-05T21:32:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:32:07.000Z CYCLE: 8/12 localized +2026-02-05T21:32:17.000Z CYCLE: 9/12 localized +2026-02-05T21:32:27.000Z CYCLE: 9/12 localized +2026-02-05T21:32:37.000Z CYCLE: 9/12 localized +2026-02-05T21:32:48.000Z CYCLE: 9/12 localized +2026-02-05T21:32:58.000Z CYCLE: 9/12 localized +2026-02-05T21:33:08.000Z CYCLE: 9/12 localized +2026-02-05T21:33:18.000Z CYCLE: 9/12 localized +2026-02-05T21:33:28.000Z CYCLE: 9/12 localized +2026-02-05T21:33:38.000Z CYCLE: 9/12 localized +2026-02-05T21:33:48.000Z CYCLE: 9/12 localized +2026-02-05T21:33:58.000Z CYCLE: 9/12 localized +2026-02-05T21:34:08.000Z CYCLE: 9/12 localized +2026-02-05T21:34:18.000Z CYCLE: 9/12 localized +2026-02-05T21:34:28.000Z CYCLE: 9/12 localized +2026-02-05T21:34:38.000Z CYCLE: 9/12 localized +2026-02-05T21:34:48.000Z CYCLE: 9/12 localized +2026-02-05T21:34:58.000Z CYCLE: 9/12 localized +2026-02-05T21:35:08.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:35:08.000Z CYCLE: 8/12 localized +2026-02-05T21:35:19.000Z CYCLE: 9/12 localized +2026-02-05T21:35:29.000Z CYCLE: 9/12 localized +2026-02-05T21:35:39.000Z CYCLE: 9/12 localized +2026-02-05T21:35:49.000Z CYCLE: 9/12 localized +2026-02-05T21:35:59.000Z CYCLE: 9/12 localized +2026-02-05T21:36:09.000Z CYCLE: 9/12 localized +2026-02-05T21:36:19.000Z CYCLE: 9/12 localized +2026-02-05T21:36:29.000Z CYCLE: 9/12 localized +2026-02-05T21:36:39.000Z CYCLE: 9/12 localized +2026-02-05T21:36:49.000Z CYCLE: 9/12 localized +2026-02-05T21:36:59.000Z CYCLE: 9/12 localized +2026-02-05T21:37:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:37:09.000Z CYCLE: 8/12 localized +2026-02-05T21:37:19.000Z CYCLE: 9/12 localized +2026-02-05T21:37:30.000Z CYCLE: 9/12 localized +2026-02-05T21:37:40.000Z CYCLE: 9/12 localized +2026-02-05T21:37:50.000Z CYCLE: 9/12 localized +2026-02-05T21:38:00.000Z CYCLE: 9/12 localized +2026-02-05T21:38:10.000Z CYCLE: 9/12 localized +2026-02-05T21:38:20.000Z CYCLE: 9/12 localized +2026-02-05T21:38:30.000Z CYCLE: 9/12 localized +2026-02-05T21:38:40.000Z CYCLE: 9/12 localized +2026-02-05T21:38:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:38:50.000Z CYCLE: 8/12 localized +2026-02-05T21:39:00.000Z CYCLE: 9/12 localized +2026-02-05T21:39:10.000Z CYCLE: 9/12 localized +2026-02-05T21:39:20.000Z CYCLE: 9/12 localized +2026-02-05T21:39:30.000Z CYCLE: 9/12 localized +2026-02-05T21:39:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:39:40.000Z CYCLE: 8/12 localized +2026-02-05T21:39:51.000Z CYCLE: 9/12 localized +2026-02-05T21:40:01.000Z CYCLE: 9/12 localized +2026-02-05T21:40:11.000Z CYCLE: 9/12 localized +2026-02-05T21:40:21.000Z CYCLE: 9/12 localized +2026-02-05T21:40:31.000Z CYCLE: 9/12 localized +2026-02-05T21:40:41.000Z CYCLE: 9/12 localized +2026-02-05T21:40:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:40:51.000Z CYCLE: 8/12 localized +2026-02-05T21:41:01.000Z CYCLE: 9/12 localized +2026-02-05T21:41:11.000Z CYCLE: 9/12 localized +2026-02-05T21:41:21.000Z CYCLE: 9/12 localized +2026-02-05T21:41:31.000Z CYCLE: 9/12 localized +2026-02-05T21:41:41.000Z CYCLE: 9/12 localized +2026-02-05T21:41:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:41:51.000Z CYCLE: 8/12 localized +2026-02-05T21:42:01.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:42:01.000Z CYCLE: 8/12 localized +2026-02-05T21:42:11.000Z CYCLE: 9/12 localized +2026-02-05T21:42:22.000Z CYCLE: 9/12 localized +2026-02-05T21:42:32.000Z CYCLE: 9/12 localized +2026-02-05T21:42:42.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:42:42.000Z CYCLE: 8/12 localized +2026-02-05T21:42:52.000Z CYCLE: 9/12 localized +2026-02-05T21:43:02.000Z CYCLE: 9/12 localized +2026-02-05T21:43:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:43:12.000Z CYCLE: 8/12 localized +2026-02-05T21:43:22.000Z CYCLE: 9/12 localized +2026-02-05T21:43:32.000Z CYCLE: 9/12 localized +2026-02-05T21:43:42.000Z CYCLE: 9/12 localized +2026-02-05T21:43:52.000Z CYCLE: 9/12 localized +2026-02-05T21:44:02.000Z CYCLE: 9/12 localized +2026-02-05T21:44:12.000Z CYCLE: 9/12 localized +2026-02-05T21:44:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:44:22.000Z CYCLE: 8/12 localized +2026-02-05T21:44:32.000Z CYCLE: 9/12 localized +2026-02-05T21:44:42.000Z CYCLE: 9/12 localized +2026-02-05T21:44:53.000Z CYCLE: 9/12 localized +2026-02-05T21:45:03.000Z CYCLE: 9/12 localized +2026-02-05T21:45:13.000Z CYCLE: 9/12 localized +2026-02-05T21:45:23.000Z CYCLE: 9/12 localized +2026-02-05T21:45:33.000Z CYCLE: 9/12 localized +2026-02-05T21:45:43.000Z CYCLE: 9/12 localized +2026-02-05T21:45:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:45:53.000Z CYCLE: 8/12 localized +2026-02-05T21:46:03.000Z CYCLE: 9/12 localized +2026-02-05T21:46:13.000Z CYCLE: 9/12 localized +2026-02-05T21:46:23.000Z CYCLE: 9/12 localized +2026-02-05T21:46:33.000Z CYCLE: 9/12 localized +2026-02-05T21:46:43.000Z CYCLE: 9/12 localized +2026-02-05T21:46:53.000Z CYCLE: 9/12 localized +2026-02-05T21:47:03.000Z CYCLE: 9/12 localized +2026-02-05T21:47:13.000Z CYCLE: 9/12 localized +2026-02-05T21:47:24.000Z CYCLE: 9/12 localized +2026-02-05T21:47:34.000Z CYCLE: 9/12 localized +2026-02-05T21:47:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:47:44.000Z CYCLE: 8/12 localized +2026-02-05T21:47:54.000Z CYCLE: 9/12 localized +2026-02-05T21:48:04.000Z CYCLE: 9/12 localized +2026-02-05T21:48:14.000Z CYCLE: 9/12 localized +2026-02-05T21:48:24.000Z CYCLE: 9/12 localized +2026-02-05T21:48:34.000Z CYCLE: 9/12 localized +2026-02-05T21:48:44.000Z CYCLE: 9/12 localized +2026-02-05T21:48:54.000Z CYCLE: 9/12 localized +2026-02-05T21:49:04.000Z CYCLE: 9/12 localized +2026-02-05T21:49:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:49:14.000Z CYCLE: 8/12 localized +2026-02-05T21:49:24.000Z CYCLE: 9/12 localized +2026-02-05T21:49:34.000Z CYCLE: 9/12 localized +2026-02-05T21:49:45.000Z CYCLE: 9/12 localized +2026-02-05T21:49:55.000Z CYCLE: 9/12 localized +2026-02-05T21:50:05.000Z CYCLE: 9/12 localized +2026-02-05T21:50:15.000Z CYCLE: 9/12 localized +2026-02-05T21:50:25.000Z CYCLE: 9/12 localized +2026-02-05T21:50:35.000Z CYCLE: 9/12 localized +2026-02-05T21:50:45.000Z CYCLE: 9/12 localized +2026-02-05T21:50:55.000Z CYCLE: 9/12 localized +2026-02-05T21:51:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:51:05.000Z CYCLE: 8/12 localized +2026-02-05T21:51:15.000Z CYCLE: 9/12 localized +2026-02-05T21:51:25.000Z CYCLE: 9/12 localized +2026-02-05T21:51:35.000Z CYCLE: 9/12 localized +2026-02-05T21:51:45.000Z CYCLE: 9/12 localized +2026-02-05T21:51:55.000Z CYCLE: 9/12 localized +2026-02-05T21:52:05.000Z CYCLE: 9/12 localized +2026-02-05T21:52:15.000Z CYCLE: 9/12 localized +2026-02-05T21:52:26.000Z CYCLE: 9/12 localized +2026-02-05T21:52:36.000Z CYCLE: 9/12 localized +2026-02-05T21:52:46.000Z CYCLE: 9/12 localized +2026-02-05T21:52:56.000Z CYCLE: 9/12 localized +2026-02-05T21:53:06.000Z CYCLE: 9/12 localized +2026-02-05T21:53:16.000Z CYCLE: 9/12 localized +2026-02-05T21:53:26.000Z CYCLE: 9/12 localized +2026-02-05T21:53:36.000Z CYCLE: 9/12 localized +2026-02-05T21:53:46.000Z CYCLE: 9/12 localized +2026-02-05T21:53:56.000Z CYCLE: 9/12 localized +2026-02-05T21:54:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:54:06.000Z CYCLE: 8/12 localized +2026-02-05T21:54:16.000Z CYCLE: 9/12 localized +2026-02-05T21:54:26.000Z CYCLE: 9/12 localized +2026-02-05T21:54:36.000Z CYCLE: 9/12 localized +2026-02-05T21:54:46.000Z CYCLE: 9/12 localized +2026-02-05T21:54:57.000Z CYCLE: 9/12 localized +2026-02-05T21:55:07.000Z CYCLE: 9/12 localized +2026-02-05T21:55:17.000Z CYCLE: 9/12 localized +2026-02-05T21:55:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:55:27.000Z CYCLE: 8/12 localized +2026-02-05T21:55:37.000Z CYCLE: 9/12 localized +2026-02-05T21:55:47.000Z CYCLE: 9/12 localized +2026-02-05T21:55:57.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:55:57.000Z CYCLE: 8/12 localized +2026-02-05T21:56:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:56:07.000Z CYCLE: 8/12 localized +2026-02-05T21:56:17.000Z CYCLE: 9/12 localized +2026-02-05T21:56:27.000Z CYCLE: 9/12 localized +2026-02-05T21:56:37.000Z CYCLE: 9/12 localized +2026-02-05T21:56:47.000Z CYCLE: 9/12 localized +2026-02-05T21:56:57.000Z CYCLE: 9/12 localized +2026-02-05T21:57:07.000Z CYCLE: 9/12 localized +2026-02-05T21:57:18.000Z CYCLE: 9/12 localized +2026-02-05T21:57:28.000Z CYCLE: 9/12 localized +2026-02-05T21:57:38.000Z CYCLE: 9/12 localized +2026-02-05T21:57:48.000Z CYCLE: 9/12 localized +2026-02-05T21:57:58.000Z CYCLE: 9/12 localized +2026-02-05T21:58:08.000Z CYCLE: 9/12 localized +2026-02-05T21:58:18.000Z CYCLE: 9/12 localized +2026-02-05T21:58:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T21:58:28.000Z CYCLE: 8/12 localized +2026-02-05T21:58:38.000Z CYCLE: 9/12 localized +2026-02-05T21:58:48.000Z CYCLE: 9/12 localized +2026-02-05T21:58:58.000Z CYCLE: 9/12 localized +2026-02-05T21:59:08.000Z CYCLE: 9/12 localized +2026-02-05T21:59:19.000Z CYCLE: 9/12 localized +2026-02-05T21:59:29.000Z CYCLE: 9/12 localized +2026-02-05T21:59:39.000Z CYCLE: 9/12 localized +2026-02-05T21:59:49.000Z CYCLE: 9/12 localized +2026-02-05T21:59:59.000Z CYCLE: 9/12 localized +2026-02-05T22:00:09.000Z CYCLE: 9/12 localized +2026-02-05T22:00:19.000Z CYCLE: 9/12 localized +2026-02-05T22:00:29.000Z CYCLE: 9/12 localized +2026-02-05T22:00:39.000Z CYCLE: 9/12 localized +2026-02-05T22:00:49.000Z CYCLE: 9/12 localized +2026-02-05T22:00:59.000Z CYCLE: 9/12 localized +2026-02-05T22:01:09.000Z CYCLE: 9/12 localized +2026-02-05T22:01:19.000Z CYCLE: 9/12 localized +2026-02-05T22:01:29.000Z CYCLE: 9/12 localized +2026-02-05T22:01:39.000Z CYCLE: 9/12 localized +2026-02-05T22:01:50.000Z CYCLE: 9/12 localized +2026-02-05T22:02:00.000Z CYCLE: 9/12 localized +2026-02-05T22:02:10.000Z CYCLE: 9/12 localized +2026-02-05T22:02:20.000Z CYCLE: 9/12 localized +2026-02-05T22:02:30.000Z CYCLE: 9/12 localized +2026-02-05T22:02:40.000Z CYCLE: 9/12 localized +2026-02-05T22:02:50.000Z CYCLE: 9/12 localized +2026-02-05T22:03:00.000Z CYCLE: 9/12 localized +2026-02-05T22:03:10.000Z CYCLE: 9/12 localized +2026-02-05T22:03:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:03:20.000Z CYCLE: 8/12 localized +2026-02-05T22:03:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:03:30.000Z CYCLE: 8/12 localized +2026-02-05T22:03:40.000Z CYCLE: 9/12 localized +2026-02-05T22:03:50.000Z CYCLE: 9/12 localized +2026-02-05T22:04:00.000Z CYCLE: 9/12 localized +2026-02-05T22:04:11.000Z CYCLE: 9/12 localized +2026-02-05T22:04:21.000Z CYCLE: 9/12 localized +2026-02-05T22:04:31.000Z CYCLE: 9/12 localized +2026-02-05T22:04:41.000Z CYCLE: 9/12 localized +2026-02-05T22:04:51.000Z CYCLE: 9/12 localized +2026-02-05T22:05:01.000Z CYCLE: 9/12 localized +2026-02-05T22:05:11.000Z CYCLE: 9/12 localized +2026-02-05T22:05:21.000Z CYCLE: 9/12 localized +2026-02-05T22:05:31.000Z CYCLE: 9/12 localized +2026-02-05T22:05:41.000Z CYCLE: 9/12 localized +2026-02-05T22:05:51.000Z CYCLE: 9/12 localized +2026-02-05T22:06:01.000Z CYCLE: 9/12 localized +2026-02-05T22:06:11.000Z CYCLE: 9/12 localized +2026-02-05T22:06:21.000Z CYCLE: 9/12 localized +2026-02-05T22:06:31.000Z CYCLE: 9/12 localized +2026-02-05T22:06:42.000Z CYCLE: 9/12 localized +2026-02-05T22:06:52.000Z CYCLE: 9/12 localized +2026-02-05T22:07:02.000Z CYCLE: 9/12 localized +2026-02-05T22:07:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:07:12.000Z CYCLE: 8/12 localized +2026-02-05T22:07:22.000Z CYCLE: 9/12 localized +2026-02-05T22:07:32.000Z CYCLE: 9/12 localized +2026-02-05T22:07:42.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:07:42.000Z CYCLE: 8/12 localized +2026-02-05T22:07:52.000Z CYCLE: 9/12 localized +2026-02-05T22:08:02.000Z CYCLE: 9/12 localized +2026-02-05T22:08:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:08:12.000Z CYCLE: 8/12 localized +2026-02-05T22:08:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:08:22.000Z CYCLE: 8/12 localized +2026-02-05T22:08:32.000Z CYCLE: 9/12 localized +2026-02-05T22:08:42.000Z CYCLE: 9/12 localized +2026-02-05T22:08:52.000Z CYCLE: 9/12 localized +2026-02-05T22:09:02.000Z CYCLE: 9/12 localized +2026-02-05T22:09:13.000Z CYCLE: 9/12 localized +2026-02-05T22:09:23.000Z CYCLE: 9/12 localized +2026-02-05T22:09:33.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:09:33.000Z CYCLE: 8/12 localized +2026-02-05T22:09:43.000Z CYCLE: 9/12 localized +2026-02-05T22:09:53.000Z CYCLE: 9/12 localized +2026-02-05T22:10:03.000Z CYCLE: 9/12 localized +2026-02-05T22:10:13.000Z CYCLE: 9/12 localized +2026-02-05T22:10:23.000Z CYCLE: 9/12 localized +2026-02-05T22:10:33.000Z CYCLE: 9/12 localized +2026-02-05T22:10:43.000Z CYCLE: 9/12 localized +2026-02-05T22:10:53.000Z CYCLE: 9/12 localized +2026-02-05T22:11:03.000Z CYCLE: 9/12 localized +2026-02-05T22:11:13.000Z CYCLE: 9/12 localized +2026-02-05T22:11:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:11:23.000Z CYCLE: 8/12 localized +2026-02-05T22:11:33.000Z CYCLE: 9/12 localized +2026-02-05T22:11:44.000Z CYCLE: 9/12 localized +2026-02-05T22:11:54.000Z CYCLE: 9/12 localized +2026-02-05T22:12:04.000Z CYCLE: 9/12 localized +2026-02-05T22:12:14.000Z CYCLE: 9/12 localized +2026-02-05T22:12:24.000Z CYCLE: 9/12 localized +2026-02-05T22:12:34.000Z CYCLE: 9/12 localized +2026-02-05T22:12:44.000Z CYCLE: 9/12 localized +2026-02-05T22:12:54.000Z CYCLE: 9/12 localized +2026-02-05T22:13:04.000Z CYCLE: 9/12 localized +2026-02-05T22:13:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:13:14.000Z CYCLE: 8/12 localized +2026-02-05T22:13:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:13:24.000Z CYCLE: 8/12 localized +2026-02-05T22:13:34.000Z CYCLE: 9/12 localized +2026-02-05T22:13:44.000Z CYCLE: 9/12 localized +2026-02-05T22:13:54.000Z CYCLE: 9/12 localized +2026-02-05T22:14:05.000Z CYCLE: 9/12 localized +2026-02-05T22:14:15.000Z CYCLE: 9/12 localized +2026-02-05T22:14:25.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:14:25.000Z CYCLE: 8/12 localized +2026-02-05T22:14:35.000Z CYCLE: 9/12 localized +2026-02-05T22:14:45.000Z CYCLE: 9/12 localized +2026-02-05T22:14:55.000Z CYCLE: 9/12 localized +2026-02-05T22:15:05.000Z CYCLE: 9/12 localized +2026-02-05T22:15:15.000Z CYCLE: 9/12 localized +2026-02-05T22:15:25.000Z CYCLE: 9/12 localized +2026-02-05T22:15:35.000Z CYCLE: 9/12 localized +2026-02-05T22:15:45.000Z CYCLE: 9/12 localized +2026-02-05T22:15:55.000Z CYCLE: 9/12 localized +2026-02-05T22:16:05.000Z CYCLE: 9/12 localized +2026-02-05T22:16:15.000Z CYCLE: 9/12 localized +2026-02-05T22:16:26.000Z CYCLE: 9/12 localized +2026-02-05T22:16:36.000Z CYCLE: 9/12 localized +2026-02-05T22:16:46.000Z CYCLE: 9/12 localized +2026-02-05T22:16:56.000Z CYCLE: 9/12 localized +2026-02-05T22:17:06.000Z CYCLE: 9/12 localized +2026-02-05T22:17:16.000Z CYCLE: 9/12 localized +2026-02-05T22:17:26.000Z CYCLE: 9/12 localized +2026-02-05T22:17:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:17:36.000Z CYCLE: 8/12 localized +2026-02-05T22:17:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:17:46.000Z CYCLE: 8/12 localized +2026-02-05T22:17:56.000Z CYCLE: 9/12 localized +2026-02-05T22:18:06.000Z CYCLE: 9/12 localized +2026-02-05T22:18:16.000Z CYCLE: 9/12 localized +2026-02-05T22:18:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:18:26.000Z CYCLE: 8/12 localized +2026-02-05T22:18:36.000Z CYCLE: 9/12 localized +2026-02-05T22:18:46.000Z CYCLE: 9/12 localized +2026-02-05T22:18:57.000Z CYCLE: 9/12 localized +2026-02-05T22:19:07.000Z CYCLE: 9/12 localized +2026-02-05T22:19:17.000Z CYCLE: 9/12 localized +2026-02-05T22:19:27.000Z CYCLE: 9/12 localized +2026-02-05T22:19:37.000Z CYCLE: 9/12 localized +2026-02-05T22:19:47.000Z CYCLE: 9/12 localized +2026-02-05T22:19:57.000Z CYCLE: 9/12 localized +2026-02-05T22:20:07.000Z CYCLE: 9/12 localized +2026-02-05T22:20:17.000Z CYCLE: 9/12 localized +2026-02-05T22:20:27.000Z CYCLE: 9/12 localized +2026-02-05T22:20:37.000Z CYCLE: 9/12 localized +2026-02-05T22:20:47.000Z CYCLE: 9/12 localized +2026-02-05T22:20:57.000Z CYCLE: 9/12 localized +2026-02-05T22:21:07.000Z CYCLE: 9/12 localized +2026-02-05T22:21:18.000Z CYCLE: 9/12 localized +2026-02-05T22:21:28.000Z CYCLE: 9/12 localized +2026-02-05T22:21:38.000Z CYCLE: 9/12 localized +2026-02-05T22:21:48.000Z CYCLE: 9/12 localized +2026-02-05T22:21:58.000Z CYCLE: 9/12 localized +2026-02-05T22:22:08.000Z CYCLE: 9/12 localized +2026-02-05T22:22:18.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:22:18.000Z CYCLE: 8/12 localized +2026-02-05T22:22:28.000Z CYCLE: 9/12 localized +2026-02-05T22:22:38.000Z CYCLE: 9/12 localized +2026-02-05T22:22:48.000Z CYCLE: 9/12 localized +2026-02-05T22:22:58.000Z CYCLE: 9/12 localized +2026-02-05T22:23:08.000Z CYCLE: 9/12 localized +2026-02-05T22:23:18.000Z CYCLE: 9/12 localized +2026-02-05T22:23:28.000Z CYCLE: 9/12 localized +2026-02-05T22:23:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:23:38.000Z CYCLE: 8/12 localized +2026-02-05T22:23:49.000Z CYCLE: 9/12 localized +2026-02-05T22:23:59.000Z CYCLE: 9/12 localized +2026-02-05T22:24:09.000Z CYCLE: 9/12 localized +2026-02-05T22:24:19.000Z CYCLE: 9/12 localized +2026-02-05T22:24:29.000Z CYCLE: 9/12 localized +2026-02-05T22:24:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:24:39.000Z CYCLE: 8/12 localized +2026-02-05T22:24:49.000Z CYCLE: 9/12 localized +2026-02-05T22:24:59.000Z CYCLE: 9/12 localized +2026-02-05T22:25:09.000Z CYCLE: 9/12 localized +2026-02-05T22:25:19.000Z CYCLE: 9/12 localized +2026-02-05T22:25:29.000Z CYCLE: 9/12 localized +2026-02-05T22:25:39.000Z CYCLE: 9/12 localized +2026-02-05T22:25:49.000Z CYCLE: 9/12 localized +2026-02-05T22:25:59.000Z CYCLE: 9/12 localized +2026-02-05T22:26:09.000Z CYCLE: 9/12 localized +2026-02-05T22:26:20.000Z CYCLE: 9/12 localized +2026-02-05T22:26:30.000Z CYCLE: 9/12 localized +2026-02-05T22:26:40.000Z CYCLE: 9/12 localized +2026-02-05T22:26:50.000Z CYCLE: 9/12 localized +2026-02-05T22:27:00.000Z CYCLE: 9/12 localized +2026-02-05T22:27:10.000Z CYCLE: 9/12 localized +2026-02-05T22:27:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:27:20.000Z CYCLE: 8/12 localized +2026-02-05T22:27:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:27:30.000Z CYCLE: 8/12 localized +2026-02-05T22:27:40.000Z CYCLE: 9/12 localized +2026-02-05T22:27:50.000Z CYCLE: 9/12 localized +2026-02-05T22:28:00.000Z CYCLE: 9/12 localized +2026-02-05T22:28:10.000Z CYCLE: 9/12 localized +2026-02-05T22:28:20.000Z CYCLE: 9/12 localized +2026-02-05T22:28:30.000Z CYCLE: 9/12 localized +2026-02-05T22:28:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:28:40.000Z CYCLE: 8/12 localized +2026-02-05T22:28:50.000Z CYCLE: 9/12 localized +2026-02-05T22:29:01.000Z CYCLE: 9/12 localized +2026-02-05T22:29:11.000Z CYCLE: 9/12 localized +2026-02-05T22:29:21.000Z CYCLE: 9/12 localized +2026-02-05T22:29:31.000Z CYCLE: 9/12 localized +2026-02-05T22:29:41.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:29:41.000Z CYCLE: 8/12 localized +2026-02-05T22:29:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:29:51.000Z CYCLE: 8/12 localized +2026-02-05T22:30:01.000Z CYCLE: 9/12 localized +2026-02-05T22:30:11.000Z CYCLE: 9/12 localized +2026-02-05T22:30:21.000Z CYCLE: 9/12 localized +2026-02-05T22:30:31.000Z CYCLE: 9/12 localized +2026-02-05T22:30:41.000Z CYCLE: 9/12 localized +2026-02-05T22:30:51.000Z CYCLE: 9/12 localized +2026-02-05T22:31:01.000Z CYCLE: 9/12 localized +2026-02-05T22:31:11.000Z CYCLE: 9/12 localized +2026-02-05T22:31:22.000Z CYCLE: 9/12 localized +2026-02-05T22:31:32.000Z CYCLE: 9/12 localized +2026-02-05T22:31:42.000Z CYCLE: 9/12 localized +2026-02-05T22:31:52.000Z CYCLE: 9/12 localized +2026-02-05T22:32:02.000Z CYCLE: 9/12 localized +2026-02-05T22:32:12.000Z CYCLE: 9/12 localized +2026-02-05T22:32:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:32:22.000Z CYCLE: 8/12 localized +2026-02-05T22:32:32.000Z CYCLE: 9/12 localized +2026-02-05T22:32:42.000Z CYCLE: 9/12 localized +2026-02-05T22:32:52.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:32:52.000Z CYCLE: 8/12 localized +2026-02-05T22:33:02.000Z CYCLE: 9/12 localized +2026-02-05T22:33:12.000Z CYCLE: 9/12 localized +2026-02-05T22:33:22.000Z CYCLE: 9/12 localized +2026-02-05T22:33:32.000Z CYCLE: 9/12 localized +2026-02-05T22:33:42.000Z CYCLE: 9/12 localized +2026-02-05T22:33:53.000Z CYCLE: 9/12 localized +2026-02-05T22:34:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:34:03.000Z CYCLE: 8/12 localized +2026-02-05T22:34:13.000Z CYCLE: 9/12 localized +2026-02-05T22:34:23.000Z CYCLE: 9/12 localized +2026-02-05T22:34:33.000Z CYCLE: 9/12 localized +2026-02-05T22:34:43.000Z CYCLE: 9/12 localized +2026-02-05T22:34:53.000Z CYCLE: 9/12 localized +2026-02-05T22:35:03.000Z CYCLE: 9/12 localized +2026-02-05T22:35:13.000Z CYCLE: 9/12 localized +2026-02-05T22:35:23.000Z CYCLE: 9/12 localized +2026-02-05T22:35:33.000Z CYCLE: 9/12 localized +2026-02-05T22:35:43.000Z CYCLE: 9/12 localized +2026-02-05T22:35:53.000Z CYCLE: 9/12 localized +2026-02-05T22:36:03.000Z CYCLE: 9/12 localized +2026-02-05T22:36:13.000Z CYCLE: 9/12 localized +2026-02-05T22:36:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:36:24.000Z CYCLE: 8/12 localized +2026-02-05T22:36:34.000Z CYCLE: 9/12 localized +2026-02-05T22:36:44.000Z CYCLE: 9/12 localized +2026-02-05T22:36:54.000Z CYCLE: 9/12 localized +2026-02-05T22:37:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:37:04.000Z CYCLE: 8/12 localized +2026-02-05T22:37:14.000Z CYCLE: 9/12 localized +2026-02-05T22:37:24.000Z CYCLE: 9/12 localized +2026-02-05T22:37:34.000Z CYCLE: 9/12 localized +2026-02-05T22:37:44.000Z CYCLE: 9/12 localized +2026-02-05T22:37:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:37:54.000Z CYCLE: 8/12 localized +2026-02-05T22:38:04.000Z CYCLE: 9/12 localized +2026-02-05T22:38:14.000Z CYCLE: 9/12 localized +2026-02-05T22:38:24.000Z CYCLE: 9/12 localized +2026-02-05T22:38:34.000Z CYCLE: 9/12 localized +2026-02-05T22:38:45.000Z CYCLE: 9/12 localized +2026-02-05T22:38:55.000Z CYCLE: 9/12 localized +2026-02-05T22:39:05.000Z CYCLE: 9/12 localized +2026-02-05T22:39:15.000Z CYCLE: 9/12 localized +2026-02-05T22:39:25.000Z CYCLE: 9/12 localized +2026-02-05T22:39:35.000Z CYCLE: 9/12 localized +2026-02-05T22:39:45.000Z CYCLE: 9/12 localized +2026-02-05T22:39:55.000Z CYCLE: 9/12 localized +2026-02-05T22:40:05.000Z CYCLE: 9/12 localized +2026-02-05T22:40:15.000Z CYCLE: 9/12 localized +2026-02-05T22:40:25.000Z CYCLE: 9/12 localized +2026-02-05T22:40:35.000Z CYCLE: 9/12 localized +2026-02-05T22:40:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:40:45.000Z CYCLE: 8/12 localized +2026-02-05T22:40:55.000Z CYCLE: 9/12 localized +2026-02-05T22:41:05.000Z CYCLE: 9/12 localized +2026-02-05T22:41:16.000Z CYCLE: 9/12 localized +2026-02-05T22:41:26.000Z CYCLE: 9/12 localized +2026-02-05T22:41:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:41:36.000Z CYCLE: 8/12 localized +2026-02-05T22:41:46.000Z CYCLE: 9/12 localized +2026-02-05T22:41:56.000Z CYCLE: 9/12 localized +2026-02-05T22:42:06.000Z CYCLE: 9/12 localized +2026-02-05T22:42:16.000Z CYCLE: 9/12 localized +2026-02-05T22:42:26.000Z CYCLE: 9/12 localized +2026-02-05T22:42:36.000Z CYCLE: 9/12 localized +2026-02-05T22:42:46.000Z CYCLE: 9/12 localized +2026-02-05T22:42:56.000Z CYCLE: 9/12 localized +2026-02-05T22:43:06.000Z CYCLE: 9/12 localized +2026-02-05T22:43:16.000Z CYCLE: 9/12 localized +2026-02-05T22:43:26.000Z CYCLE: 9/12 localized +2026-02-05T22:43:36.000Z CYCLE: 9/12 localized +2026-02-05T22:43:47.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:43:47.000Z CYCLE: 8/12 localized +2026-02-05T22:43:57.000Z CYCLE: 9/12 localized +2026-02-05T22:44:07.000Z CYCLE: 9/12 localized +2026-02-05T22:44:17.000Z CYCLE: 9/12 localized +2026-02-05T22:44:27.000Z CYCLE: 9/12 localized +2026-02-05T22:44:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:44:37.000Z CYCLE: 8/12 localized +2026-02-05T22:44:47.000Z CYCLE: 9/12 localized +2026-02-05T22:44:57.000Z CYCLE: 9/12 localized +2026-02-05T22:45:07.000Z CYCLE: 9/12 localized +2026-02-05T22:45:17.000Z CYCLE: 9/12 localized +2026-02-05T22:45:27.000Z CYCLE: 9/12 localized +2026-02-05T22:45:37.000Z CYCLE: 9/12 localized +2026-02-05T22:45:47.000Z CYCLE: 9/12 localized +2026-02-05T22:45:57.000Z CYCLE: 9/12 localized +2026-02-05T22:46:07.000Z CYCLE: 9/12 localized +2026-02-05T22:46:18.000Z CYCLE: 9/12 localized +2026-02-05T22:46:28.000Z CYCLE: 9/12 localized +2026-02-05T22:46:38.000Z CYCLE: 9/12 localized +2026-02-05T22:46:48.000Z CYCLE: 9/12 localized +2026-02-05T22:46:58.000Z CYCLE: 9/12 localized +2026-02-05T22:47:08.000Z CYCLE: 9/12 localized +2026-02-05T22:47:18.000Z CYCLE: 9/12 localized +2026-02-05T22:47:28.000Z CYCLE: 9/12 localized +2026-02-05T22:47:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:47:38.000Z CYCLE: 8/12 localized +2026-02-05T22:47:48.000Z CYCLE: 9/12 localized +2026-02-05T22:47:58.000Z CYCLE: 9/12 localized +2026-02-05T22:48:08.000Z CYCLE: 9/12 localized +2026-02-05T22:48:18.000Z CYCLE: 9/12 localized +2026-02-05T22:48:28.000Z CYCLE: 9/12 localized +2026-02-05T22:48:38.000Z CYCLE: 9/12 localized +2026-02-05T22:48:49.000Z CYCLE: 9/12 localized +2026-02-05T22:48:59.000Z CYCLE: 9/12 localized +2026-02-05T22:49:09.000Z CYCLE: 9/12 localized +2026-02-05T22:49:19.000Z CYCLE: 9/12 localized +2026-02-05T22:49:29.000Z CYCLE: 9/12 localized +2026-02-05T22:49:39.000Z CYCLE: 9/12 localized +2026-02-05T22:49:49.000Z CYCLE: 9/12 localized +2026-02-05T22:49:59.000Z CYCLE: 9/12 localized +2026-02-05T22:50:09.000Z CYCLE: 9/12 localized +2026-02-05T22:50:19.000Z CYCLE: 9/12 localized +2026-02-05T22:50:29.000Z CYCLE: 9/12 localized +2026-02-05T22:50:39.000Z CYCLE: 9/12 localized +2026-02-05T22:50:49.000Z CYCLE: 9/12 localized +2026-02-05T22:50:59.000Z CYCLE: 9/12 localized +2026-02-05T22:51:09.000Z CYCLE: 9/12 localized +2026-02-05T22:51:20.000Z CYCLE: 9/12 localized +2026-02-05T22:51:30.000Z CYCLE: 9/12 localized +2026-02-05T22:51:40.000Z CYCLE: 9/12 localized +2026-02-05T22:51:50.000Z CYCLE: 9/12 localized +2026-02-05T22:52:00.000Z CYCLE: 9/12 localized +2026-02-05T22:52:10.000Z CYCLE: 9/12 localized +2026-02-05T22:52:20.000Z CYCLE: 9/12 localized +2026-02-05T22:52:30.000Z CYCLE: 9/12 localized +2026-02-05T22:52:40.000Z CYCLE: 9/12 localized +2026-02-05T22:52:50.000Z CYCLE: 9/12 localized +2026-02-05T22:53:00.000Z CYCLE: 9/12 localized +2026-02-05T22:53:10.000Z CYCLE: 9/12 localized +2026-02-05T22:53:20.000Z CYCLE: 9/12 localized +2026-02-05T22:53:30.000Z CYCLE: 9/12 localized +2026-02-05T22:53:40.000Z CYCLE: 9/12 localized +2026-02-05T22:53:51.000Z CYCLE: 9/12 localized +2026-02-05T22:54:01.000Z CYCLE: 9/12 localized +2026-02-05T22:54:11.000Z CYCLE: 9/12 localized +2026-02-05T22:54:21.000Z CYCLE: 9/12 localized +2026-02-05T22:54:31.000Z CYCLE: 9/12 localized +2026-02-05T22:54:41.000Z CYCLE: 9/12 localized +2026-02-05T22:54:51.000Z CYCLE: 9/12 localized +2026-02-05T22:55:01.000Z CYCLE: 9/12 localized +2026-02-05T22:55:11.000Z CYCLE: 9/12 localized +2026-02-05T22:55:21.000Z CYCLE: 9/12 localized +2026-02-05T22:55:31.000Z CYCLE: 9/12 localized +2026-02-05T22:55:41.000Z CYCLE: 9/12 localized +2026-02-05T22:55:51.000Z CYCLE: 9/12 localized +2026-02-05T22:56:01.000Z CYCLE: 9/12 localized +2026-02-05T22:56:12.000Z CYCLE: 9/12 localized +2026-02-05T22:56:22.000Z CYCLE: 9/12 localized +2026-02-05T22:56:32.000Z CYCLE: 9/12 localized +2026-02-05T22:56:42.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:56:42.000Z CYCLE: 8/12 localized +2026-02-05T22:56:52.000Z CYCLE: 9/12 localized +2026-02-05T22:57:02.000Z CYCLE: 9/12 localized +2026-02-05T22:57:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:57:12.000Z CYCLE: 8/12 localized +2026-02-05T22:57:22.000Z CYCLE: 9/12 localized +2026-02-05T22:57:32.000Z CYCLE: 9/12 localized +2026-02-05T22:57:42.000Z CYCLE: 9/12 localized +2026-02-05T22:57:52.000Z CYCLE: 9/12 localized +2026-02-05T22:58:02.000Z CYCLE: 9/12 localized +2026-02-05T22:58:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T22:58:12.000Z CYCLE: 8/12 localized +2026-02-05T22:58:22.000Z CYCLE: 9/12 localized +2026-02-05T22:58:32.000Z CYCLE: 9/12 localized +2026-02-05T22:58:43.000Z CYCLE: 9/12 localized +2026-02-05T22:58:53.000Z CYCLE: 9/12 localized +2026-02-05T22:59:03.000Z CYCLE: 9/12 localized +2026-02-05T22:59:13.000Z CYCLE: 9/12 localized +2026-02-05T22:59:23.000Z CYCLE: 9/12 localized +2026-02-05T22:59:33.000Z CYCLE: 9/12 localized +2026-02-05T22:59:43.000Z CYCLE: 9/12 localized +2026-02-05T22:59:53.000Z CYCLE: 9/12 localized +2026-02-05T23:00:03.000Z CYCLE: 9/12 localized +2026-02-05T23:00:13.000Z CYCLE: 9/12 localized +2026-02-05T23:00:23.000Z CYCLE: 9/12 localized +2026-02-05T23:00:33.000Z CYCLE: 9/12 localized +2026-02-05T23:00:43.000Z CYCLE: 9/12 localized +2026-02-05T23:00:53.000Z CYCLE: 9/12 localized +2026-02-05T23:01:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:01:03.000Z CYCLE: 8/12 localized +2026-02-05T23:01:13.000Z CYCLE: 9/12 localized +2026-02-05T23:01:24.000Z CYCLE: 9/12 localized +2026-02-05T23:01:34.000Z CYCLE: 9/12 localized +2026-02-05T23:01:44.000Z CYCLE: 9/12 localized +2026-02-05T23:01:54.000Z CYCLE: 9/12 localized +2026-02-05T23:02:04.000Z CYCLE: 9/12 localized +2026-02-05T23:02:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:02:14.000Z CYCLE: 8/12 localized +2026-02-05T23:02:24.000Z CYCLE: 9/12 localized +2026-02-05T23:02:34.000Z CYCLE: 9/12 localized +2026-02-05T23:02:44.000Z CYCLE: 9/12 localized +2026-02-05T23:02:54.000Z CYCLE: 9/12 localized +2026-02-05T23:03:04.000Z CYCLE: 9/12 localized +2026-02-05T23:03:14.000Z CYCLE: 9/12 localized +2026-02-05T23:03:24.000Z CYCLE: 9/12 localized +2026-02-05T23:03:34.000Z CYCLE: 9/12 localized +2026-02-05T23:03:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:03:45.000Z CYCLE: 8/12 localized +2026-02-05T23:03:55.000Z CYCLE: 9/12 localized +2026-02-05T23:04:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:04:05.000Z CYCLE: 8/12 localized +2026-02-05T23:04:15.000Z CYCLE: 9/12 localized +2026-02-05T23:04:25.000Z CYCLE: 9/12 localized +2026-02-05T23:04:35.000Z CYCLE: 9/12 localized +2026-02-05T23:04:45.000Z CYCLE: 9/12 localized +2026-02-05T23:04:55.000Z CYCLE: 9/12 localized +2026-02-05T23:05:05.000Z CYCLE: 9/12 localized +2026-02-05T23:05:15.000Z CYCLE: 9/12 localized +2026-02-05T23:05:25.000Z CYCLE: 9/12 localized +2026-02-05T23:05:35.000Z CYCLE: 9/12 localized +2026-02-05T23:05:45.000Z CYCLE: 9/12 localized +2026-02-05T23:05:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:05:55.000Z CYCLE: 8/12 localized +2026-02-05T23:06:06.000Z CYCLE: 9/12 localized +2026-02-05T23:06:16.000Z CYCLE: 9/12 localized +2026-02-05T23:06:26.000Z CYCLE: 9/12 localized +2026-02-05T23:06:36.000Z CYCLE: 9/12 localized +2026-02-05T23:06:46.000Z CYCLE: 9/12 localized +2026-02-05T23:06:56.000Z CYCLE: 9/12 localized +2026-02-05T23:07:06.000Z CYCLE: 9/12 localized +2026-02-05T23:07:16.000Z CYCLE: 9/12 localized +2026-02-05T23:07:26.000Z CYCLE: 9/12 localized +2026-02-05T23:07:36.000Z CYCLE: 9/12 localized +2026-02-05T23:07:46.000Z CYCLE: 9/12 localized +2026-02-05T23:07:56.000Z CYCLE: 9/12 localized +2026-02-05T23:08:06.000Z CYCLE: 9/12 localized +2026-02-05T23:08:16.000Z CYCLE: 9/12 localized +2026-02-05T23:08:26.000Z CYCLE: 9/12 localized +2026-02-05T23:08:37.000Z CYCLE: 9/12 localized +2026-02-05T23:08:47.000Z CYCLE: 9/12 localized +2026-02-05T23:08:57.000Z CYCLE: 9/12 localized +2026-02-05T23:09:07.000Z CYCLE: 9/12 localized +2026-02-05T23:09:17.000Z CYCLE: 9/12 localized +2026-02-05T23:09:27.000Z CYCLE: 9/12 localized +2026-02-05T23:09:37.000Z CYCLE: 9/12 localized +2026-02-05T23:09:47.000Z CYCLE: 9/12 localized +2026-02-05T23:09:57.000Z CYCLE: 9/12 localized +2026-02-05T23:10:07.000Z CYCLE: 9/12 localized +2026-02-05T23:10:17.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:10:17.000Z CYCLE: 8/12 localized +2026-02-05T23:10:27.000Z CYCLE: 9/12 localized +2026-02-05T23:10:37.000Z CYCLE: 9/12 localized +2026-02-05T23:10:47.000Z CYCLE: 9/12 localized +2026-02-05T23:10:58.000Z CYCLE: 9/12 localized +2026-02-05T23:11:08.000Z CYCLE: 9/12 localized +2026-02-05T23:11:18.000Z CYCLE: 9/12 localized +2026-02-05T23:11:28.000Z CYCLE: 9/12 localized +2026-02-05T23:11:38.000Z CYCLE: 9/12 localized +2026-02-05T23:11:48.000Z CYCLE: 9/12 localized +2026-02-05T23:11:58.000Z CYCLE: 9/12 localized +2026-02-05T23:12:08.000Z CYCLE: 9/12 localized +2026-02-05T23:12:18.000Z CYCLE: 9/12 localized +2026-02-05T23:12:28.000Z CYCLE: 9/12 localized +2026-02-05T23:12:38.000Z CYCLE: 9/12 localized +2026-02-05T23:12:48.000Z CYCLE: 9/12 localized +2026-02-05T23:12:58.000Z CYCLE: 9/12 localized +2026-02-05T23:13:08.000Z CYCLE: 9/12 localized +2026-02-05T23:13:18.000Z CYCLE: 9/12 localized +2026-02-05T23:13:29.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:13:29.000Z CYCLE: 8/12 localized +2026-02-05T23:13:39.000Z CYCLE: 9/12 localized +2026-02-05T23:13:49.000Z CYCLE: 9/12 localized +2026-02-05T23:13:59.000Z CYCLE: 9/12 localized +2026-02-05T23:14:09.000Z CYCLE: 9/12 localized +2026-02-05T23:14:19.000Z CYCLE: 9/12 localized +2026-02-05T23:14:29.000Z CYCLE: 9/12 localized +2026-02-05T23:14:39.000Z CYCLE: 9/12 localized +2026-02-05T23:14:49.000Z CYCLE: 9/12 localized +2026-02-05T23:14:59.000Z CYCLE: 9/12 localized +2026-02-05T23:15:09.000Z CYCLE: 9/12 localized +2026-02-05T23:15:19.000Z CYCLE: 9/12 localized +2026-02-05T23:15:29.000Z CYCLE: 9/12 localized +2026-02-05T23:15:39.000Z CYCLE: 9/12 localized +2026-02-05T23:15:49.000Z CYCLE: 9/12 localized +2026-02-05T23:16:00.000Z CYCLE: 9/12 localized +2026-02-05T23:16:10.000Z CYCLE: 9/12 localized +2026-02-05T23:16:20.000Z CYCLE: 9/12 localized +2026-02-05T23:16:30.000Z CYCLE: 9/12 localized +2026-02-05T23:16:40.000Z CYCLE: 9/12 localized +2026-02-05T23:16:50.000Z CYCLE: 9/12 localized +2026-02-05T23:17:00.000Z CYCLE: 9/12 localized +2026-02-05T23:17:10.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:17:10.000Z CYCLE: 8/12 localized +2026-02-05T23:17:20.000Z CYCLE: 9/12 localized +2026-02-05T23:17:30.000Z CYCLE: 9/12 localized +2026-02-05T23:17:40.000Z CYCLE: 9/12 localized +2026-02-05T23:17:50.000Z CYCLE: 9/12 localized +2026-02-05T23:18:00.000Z CYCLE: 9/12 localized +2026-02-05T23:18:10.000Z CYCLE: 9/12 localized +2026-02-05T23:18:20.000Z CYCLE: 9/12 localized +2026-02-05T23:18:31.000Z CYCLE: 9/12 localized +2026-02-05T23:18:41.000Z CYCLE: 9/12 localized +2026-02-05T23:18:51.000Z CYCLE: 9/12 localized +2026-02-05T23:19:01.000Z CYCLE: 9/12 localized +2026-02-05T23:19:11.000Z CYCLE: 9/12 localized +2026-02-05T23:19:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:19:21.000Z CYCLE: 8/12 localized +2026-02-05T23:19:31.000Z CYCLE: 9/12 localized +2026-02-05T23:19:41.000Z CYCLE: 9/12 localized +2026-02-05T23:19:51.000Z CYCLE: 9/12 localized +2026-02-05T23:20:01.000Z CYCLE: 9/12 localized +2026-02-05T23:20:11.000Z CYCLE: 9/12 localized +2026-02-05T23:20:21.000Z CYCLE: 9/12 localized +2026-02-05T23:20:31.000Z CYCLE: 9/12 localized +2026-02-05T23:20:41.000Z CYCLE: 9/12 localized +2026-02-05T23:20:52.000Z CYCLE: 9/12 localized +2026-02-05T23:21:02.000Z CYCLE: 9/12 localized +2026-02-05T23:21:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:21:12.000Z CYCLE: 8/12 localized +2026-02-05T23:21:22.000Z CYCLE: 9/12 localized +2026-02-05T23:21:32.000Z CYCLE: 9/12 localized +2026-02-05T23:21:42.000Z CYCLE: 9/12 localized +2026-02-05T23:21:52.000Z CYCLE: 9/12 localized +2026-02-05T23:22:02.000Z CYCLE: 9/12 localized +2026-02-05T23:22:12.000Z CYCLE: 9/12 localized +2026-02-05T23:22:22.000Z CYCLE: 9/12 localized +2026-02-05T23:22:32.000Z CYCLE: 9/12 localized +2026-02-05T23:22:42.000Z CYCLE: 9/12 localized +2026-02-05T23:22:52.000Z CYCLE: 9/12 localized +2026-02-05T23:23:02.000Z CYCLE: 9/12 localized +2026-02-05T23:23:13.000Z CYCLE: 9/12 localized +2026-02-05T23:23:23.000Z CYCLE: 9/12 localized +2026-02-05T23:23:33.000Z CYCLE: 9/12 localized +2026-02-05T23:23:43.000Z CYCLE: 9/12 localized +2026-02-05T23:23:53.000Z CYCLE: 9/12 localized +2026-02-05T23:24:03.000Z CYCLE: 9/12 localized +2026-02-05T23:24:13.000Z CYCLE: 9/12 localized +2026-02-05T23:24:23.000Z CYCLE: 9/12 localized +2026-02-05T23:24:33.000Z CYCLE: 9/12 localized +2026-02-05T23:24:43.000Z CYCLE: 9/12 localized +2026-02-05T23:24:53.000Z CYCLE: 9/12 localized +2026-02-05T23:25:03.000Z CYCLE: 9/12 localized +2026-02-05T23:25:13.000Z CYCLE: 9/12 localized +2026-02-05T23:25:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:25:23.000Z CYCLE: 8/12 localized +2026-02-05T23:25:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:25:34.000Z CYCLE: 8/12 localized +2026-02-05T23:25:44.000Z CYCLE: 9/12 localized +2026-02-05T23:25:54.000Z CYCLE: 9/12 localized +2026-02-05T23:26:04.000Z CYCLE: 9/12 localized +2026-02-05T23:26:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:26:14.000Z CYCLE: 8/12 localized +2026-02-05T23:26:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:26:24.000Z CYCLE: 8/12 localized +2026-02-05T23:26:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:26:34.000Z CYCLE: 8/12 localized +2026-02-05T23:26:44.000Z CYCLE: 9/12 localized +2026-02-05T23:26:54.000Z CYCLE: 9/12 localized +2026-02-05T23:27:04.000Z CYCLE: 9/12 localized +2026-02-05T23:27:14.000Z CYCLE: 9/12 localized +2026-02-05T23:27:24.000Z CYCLE: 9/12 localized +2026-02-05T23:27:34.000Z CYCLE: 9/12 localized +2026-02-05T23:27:44.000Z CYCLE: 9/12 localized +2026-02-05T23:27:54.000Z CYCLE: 9/12 localized +2026-02-05T23:28:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:28:05.000Z CYCLE: 8/12 localized +2026-02-05T23:28:15.000Z CYCLE: 9/12 localized +2026-02-05T23:28:25.000Z CYCLE: 9/12 localized +2026-02-05T23:28:35.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:28:35.000Z CYCLE: 8/12 localized +2026-02-05T23:28:45.000Z CYCLE: 9/12 localized +2026-02-05T23:28:55.000Z CYCLE: 9/12 localized +2026-02-05T23:29:05.000Z CYCLE: 9/12 localized +2026-02-05T23:29:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:29:15.000Z CYCLE: 8/12 localized +2026-02-05T23:29:25.000Z CYCLE: 9/12 localized +2026-02-05T23:29:35.000Z CYCLE: 9/12 localized +2026-02-05T23:29:45.000Z CYCLE: 9/12 localized +2026-02-05T23:29:55.000Z CYCLE: 9/12 localized +2026-02-05T23:30:05.000Z CYCLE: 9/12 localized +2026-02-05T23:30:15.000Z CYCLE: 9/12 localized +2026-02-05T23:30:25.000Z CYCLE: 9/12 localized +2026-02-05T23:30:36.000Z CYCLE: 9/12 localized +2026-02-05T23:30:46.000Z CYCLE: 9/12 localized +2026-02-05T23:30:56.000Z CYCLE: 9/12 localized +2026-02-05T23:31:06.000Z CYCLE: 9/12 localized +2026-02-05T23:31:16.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:31:16.000Z CYCLE: 8/12 localized +2026-02-05T23:31:26.000Z CYCLE: 9/12 localized +2026-02-05T23:31:36.000Z CYCLE: 9/12 localized +2026-02-05T23:31:46.000Z CYCLE: 9/12 localized +2026-02-05T23:31:56.000Z CYCLE: 9/12 localized +2026-02-05T23:32:06.000Z CYCLE: 9/12 localized +2026-02-05T23:32:16.000Z CYCLE: 9/12 localized +2026-02-05T23:32:26.000Z CYCLE: 9/12 localized +2026-02-05T23:32:36.000Z CYCLE: 9/12 localized +2026-02-05T23:32:46.000Z CYCLE: 9/12 localized +2026-02-05T23:32:56.000Z CYCLE: 9/12 localized +2026-02-05T23:33:07.000Z CYCLE: 9/12 localized +2026-02-05T23:33:17.000Z CYCLE: 9/12 localized +2026-02-05T23:33:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:33:27.000Z CYCLE: 8/12 localized +2026-02-05T23:33:37.000Z CYCLE: 9/12 localized +2026-02-05T23:33:47.000Z CYCLE: 9/12 localized +2026-02-05T23:33:57.000Z CYCLE: 9/12 localized +2026-02-05T23:34:07.000Z CYCLE: 9/12 localized +2026-02-05T23:34:17.000Z CYCLE: 9/12 localized +2026-02-05T23:34:27.000Z CYCLE: 9/12 localized +2026-02-05T23:34:37.000Z CYCLE: 9/12 localized +2026-02-05T23:34:47.000Z CYCLE: 9/12 localized +2026-02-05T23:34:57.000Z CYCLE: 9/12 localized +2026-02-05T23:35:07.000Z CYCLE: 9/12 localized +2026-02-05T23:35:17.000Z CYCLE: 9/12 localized +2026-02-05T23:35:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:35:27.000Z CYCLE: 8/12 localized +2026-02-05T23:35:38.000Z CYCLE: 9/12 localized +2026-02-05T23:35:48.000Z CYCLE: 9/12 localized +2026-02-05T23:35:58.000Z CYCLE: 9/12 localized +2026-02-05T23:36:08.000Z CYCLE: 9/12 localized +2026-02-05T23:36:18.000Z CYCLE: 9/12 localized +2026-02-05T23:36:28.000Z CYCLE: 9/12 localized +2026-02-05T23:36:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:36:38.000Z CYCLE: 8/12 localized +2026-02-05T23:36:48.000Z CYCLE: 9/12 localized +2026-02-05T23:36:58.000Z CYCLE: 9/12 localized +2026-02-05T23:37:08.000Z CYCLE: 9/12 localized +2026-02-05T23:37:18.000Z CYCLE: 9/12 localized +2026-02-05T23:37:28.000Z CYCLE: 9/12 localized +2026-02-05T23:37:38.000Z CYCLE: 9/12 localized +2026-02-05T23:37:48.000Z CYCLE: 9/12 localized +2026-02-05T23:37:58.000Z CYCLE: 9/12 localized +2026-02-05T23:38:09.000Z CYCLE: 9/12 localized +2026-02-05T23:38:19.000Z CYCLE: 9/12 localized +2026-02-05T23:38:29.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:38:29.000Z CYCLE: 8/12 localized +2026-02-05T23:38:39.000Z CYCLE: 9/12 localized +2026-02-05T23:38:49.000Z CYCLE: 9/12 localized +2026-02-05T23:38:59.000Z CYCLE: 9/12 localized +2026-02-05T23:39:09.000Z CYCLE: 9/12 localized +2026-02-05T23:39:19.000Z CYCLE: 9/12 localized +2026-02-05T23:39:29.000Z CYCLE: 9/12 localized +2026-02-05T23:39:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:39:39.000Z CYCLE: 8/12 localized +2026-02-05T23:39:49.000Z CYCLE: 9/12 localized +2026-02-05T23:39:59.000Z CYCLE: 9/12 localized +2026-02-05T23:40:09.000Z CYCLE: 9/12 localized +2026-02-05T23:40:19.000Z CYCLE: 9/12 localized +2026-02-05T23:40:29.000Z CYCLE: 9/12 localized +2026-02-05T23:40:40.000Z CYCLE: 9/12 localized +2026-02-05T23:40:50.000Z CYCLE: 9/12 localized +2026-02-05T23:41:00.000Z CYCLE: 9/12 localized +2026-02-05T23:41:10.000Z CYCLE: 9/12 localized +2026-02-05T23:41:20.000Z CYCLE: 9/12 localized +2026-02-05T23:41:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:41:30.000Z CYCLE: 8/12 localized +2026-02-05T23:41:40.000Z CYCLE: 9/12 localized +2026-02-05T23:41:50.000Z CYCLE: 9/12 localized +2026-02-05T23:42:00.000Z CYCLE: 9/12 localized +2026-02-05T23:42:10.000Z CYCLE: 9/12 localized +2026-02-05T23:42:20.000Z CYCLE: 9/12 localized +2026-02-05T23:42:30.000Z CYCLE: 9/12 localized +2026-02-05T23:42:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:42:40.000Z CYCLE: 8/12 localized +2026-02-05T23:42:50.000Z CYCLE: 9/12 localized +2026-02-05T23:43:00.000Z CYCLE: 9/12 localized +2026-02-05T23:43:11.000Z CYCLE: 9/12 localized +2026-02-05T23:43:21.000Z CYCLE: 9/12 localized +2026-02-05T23:43:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:43:31.000Z CYCLE: 8/12 localized +2026-02-05T23:43:41.000Z CYCLE: 9/12 localized +2026-02-05T23:43:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:43:51.000Z CYCLE: 8/12 localized +2026-02-05T23:44:01.000Z CYCLE: 9/12 localized +2026-02-05T23:44:11.000Z CYCLE: 9/12 localized +2026-02-05T23:44:21.000Z CYCLE: 9/12 localized +2026-02-05T23:44:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:44:31.000Z CYCLE: 8/12 localized +2026-02-05T23:44:41.000Z CYCLE: 9/12 localized +2026-02-05T23:44:51.000Z CYCLE: 9/12 localized +2026-02-05T23:45:01.000Z CYCLE: 9/12 localized +2026-02-05T23:45:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:45:11.000Z CYCLE: 8/12 localized +2026-02-05T23:45:21.000Z CYCLE: 9/12 localized +2026-02-05T23:45:31.000Z CYCLE: 9/12 localized +2026-02-05T23:45:42.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:45:42.000Z CYCLE: 8/12 localized +2026-02-05T23:45:52.000Z CYCLE: 9/12 localized +2026-02-05T23:46:02.000Z CYCLE: 9/12 localized +2026-02-05T23:46:12.000Z CYCLE: 9/12 localized +2026-02-05T23:46:22.000Z CYCLE: 9/12 localized +2026-02-05T23:46:32.000Z CYCLE: 9/12 localized +2026-02-05T23:46:42.000Z CYCLE: 9/12 localized +2026-02-05T23:46:52.000Z CYCLE: 9/12 localized +2026-02-05T23:47:02.000Z CYCLE: 9/12 localized +2026-02-05T23:47:12.000Z CYCLE: 9/12 localized +2026-02-05T23:47:22.000Z CYCLE: 9/12 localized +2026-02-05T23:47:32.000Z CYCLE: 9/12 localized +2026-02-05T23:47:42.000Z CYCLE: 9/12 localized +2026-02-05T23:47:52.000Z CYCLE: 9/12 localized +2026-02-05T23:48:03.000Z CYCLE: 9/12 localized +2026-02-05T23:48:13.000Z CYCLE: 9/12 localized +2026-02-05T23:48:23.000Z CYCLE: 9/12 localized +2026-02-05T23:48:33.000Z CYCLE: 9/12 localized +2026-02-05T23:48:43.000Z CYCLE: 9/12 localized +2026-02-05T23:48:53.000Z CYCLE: 9/12 localized +2026-02-05T23:49:03.000Z CYCLE: 9/12 localized +2026-02-05T23:49:13.000Z CYCLE: 9/12 localized +2026-02-05T23:49:23.000Z CYCLE: 9/12 localized +2026-02-05T23:49:33.000Z CYCLE: 9/12 localized +2026-02-05T23:49:43.000Z CYCLE: 9/12 localized +2026-02-05T23:49:53.000Z CYCLE: 9/12 localized +2026-02-05T23:50:03.000Z CYCLE: 9/12 localized +2026-02-05T23:50:13.000Z CYCLE: 9/12 localized +2026-02-05T23:50:23.000Z CYCLE: 9/12 localized +2026-02-05T23:50:33.000Z CYCLE: 9/12 localized +2026-02-05T23:50:44.000Z CYCLE: 9/12 localized +2026-02-05T23:50:54.000Z CYCLE: 9/12 localized +2026-02-05T23:51:04.000Z CYCLE: 9/12 localized +2026-02-05T23:51:14.000Z CYCLE: 9/12 localized +2026-02-05T23:51:24.000Z CYCLE: 9/12 localized +2026-02-05T23:51:34.000Z CYCLE: 9/12 localized +2026-02-05T23:51:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:51:44.000Z CYCLE: 8/12 localized +2026-02-05T23:51:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:51:54.000Z CYCLE: 8/12 localized +2026-02-05T23:52:04.000Z CYCLE: 9/12 localized +2026-02-05T23:52:14.000Z CYCLE: 9/12 localized +2026-02-05T23:52:24.000Z CYCLE: 9/12 localized +2026-02-05T23:52:34.000Z CYCLE: 9/12 localized +2026-02-05T23:52:44.000Z CYCLE: 9/12 localized +2026-02-05T23:52:54.000Z CYCLE: 9/12 localized +2026-02-05T23:53:05.000Z CYCLE: 9/12 localized +2026-02-05T23:53:15.000Z CYCLE: 9/12 localized +2026-02-05T23:53:25.000Z CYCLE: 9/12 localized +2026-02-05T23:53:35.000Z CYCLE: 9/12 localized +2026-02-05T23:53:45.000Z CYCLE: 9/12 localized +2026-02-05T23:53:55.000Z CYCLE: 9/12 localized +2026-02-05T23:54:05.000Z CYCLE: 9/12 localized +2026-02-05T23:54:15.000Z CYCLE: 9/12 localized +2026-02-05T23:54:25.000Z CYCLE: 9/12 localized +2026-02-05T23:54:36.000Z CYCLE: 9/12 localized +2026-02-05T23:54:46.000Z CYCLE: 9/12 localized +2026-02-05T23:54:56.000Z CYCLE: 9/12 localized +2026-02-05T23:55:06.000Z CYCLE: 9/12 localized +2026-02-05T23:55:16.000Z CYCLE: 9/12 localized +2026-02-05T23:55:26.000Z CYCLE: 9/12 localized +2026-02-05T23:55:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:55:36.000Z CYCLE: 8/12 localized +2026-02-05T23:55:46.000Z CYCLE: 9/12 localized +2026-02-05T23:55:56.000Z CYCLE: 9/12 localized +2026-02-05T23:56:06.000Z CYCLE: 9/12 localized +2026-02-05T23:56:16.000Z CYCLE: 9/12 localized +2026-02-05T23:56:26.000Z CYCLE: 9/12 localized +2026-02-05T23:56:36.000Z CYCLE: 9/12 localized +2026-02-05T23:56:46.000Z CYCLE: 9/12 localized +2026-02-05T23:56:56.000Z CYCLE: 9/12 localized +2026-02-05T23:57:07.000Z CYCLE: 9/12 localized +2026-02-05T23:57:17.000Z CYCLE: 9/12 localized +2026-02-05T23:57:27.000Z CYCLE: 9/12 localized +2026-02-05T23:57:37.000Z CYCLE: 9/12 localized +2026-02-05T23:57:47.000Z CYCLE: 9/12 localized +2026-02-05T23:57:57.000Z CYCLE: 9/12 localized +2026-02-05T23:58:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:58:07.000Z CYCLE: 8/12 localized +2026-02-05T23:58:17.000Z CYCLE: 9/12 localized +2026-02-05T23:58:27.000Z CYCLE: 9/12 localized +2026-02-05T23:58:37.000Z CYCLE: 9/12 localized +2026-02-05T23:58:47.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:58:47.000Z CYCLE: 8/12 localized +2026-02-05T23:58:57.000Z CYCLE: 9/12 localized +2026-02-05T23:59:07.000Z CYCLE: 9/12 localized +2026-02-05T23:59:17.000Z CYCLE: 9/12 localized +2026-02-05T23:59:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:59:27.000Z CYCLE: 8/12 localized +2026-02-05T23:59:38.000Z CYCLE: 9/12 localized +2026-02-05T23:59:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-05T23:59:48.000Z CYCLE: 8/12 localized +2026-02-05T23:59:58.000Z CYCLE: 9/12 localized +2026-02-06T00:00:08.000Z CYCLE: 9/12 localized +2026-02-06T00:00:18.000Z CYCLE: 9/12 localized +2026-02-06T00:00:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:00:28.000Z CYCLE: 8/12 localized +2026-02-06T00:00:38.000Z CYCLE: 9/12 localized +2026-02-06T00:00:48.000Z CYCLE: 9/12 localized +2026-02-06T00:00:58.000Z CYCLE: 9/12 localized +2026-02-06T00:01:08.000Z CYCLE: 9/12 localized +2026-02-06T00:01:18.000Z CYCLE: 9/12 localized +2026-02-06T00:01:28.000Z CYCLE: 9/12 localized +2026-02-06T00:01:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:01:38.000Z CYCLE: 8/12 localized +2026-02-06T00:01:48.000Z CYCLE: 9/12 localized +2026-02-06T00:01:58.000Z CYCLE: 9/12 localized +2026-02-06T00:02:09.000Z CYCLE: 9/12 localized +2026-02-06T00:02:19.000Z CYCLE: 9/12 localized +2026-02-06T00:02:29.000Z CYCLE: 9/12 localized +2026-02-06T00:02:39.000Z CYCLE: 9/12 localized +2026-02-06T00:02:49.000Z CYCLE: 9/12 localized +2026-02-06T00:02:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:02:59.000Z CYCLE: 8/12 localized +2026-02-06T00:03:09.000Z CYCLE: 9/12 localized +2026-02-06T00:03:19.000Z CYCLE: 9/12 localized +2026-02-06T00:03:29.000Z CYCLE: 9/12 localized +2026-02-06T00:03:39.000Z CYCLE: 9/12 localized +2026-02-06T00:03:49.000Z CYCLE: 9/12 localized +2026-02-06T00:03:59.000Z CYCLE: 9/12 localized +2026-02-06T00:04:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:04:09.000Z CYCLE: 8/12 localized +2026-02-06T00:04:19.000Z CYCLE: 9/12 localized +2026-02-06T00:04:30.000Z CYCLE: 9/12 localized +2026-02-06T00:04:40.000Z CYCLE: 9/12 localized +2026-02-06T00:04:50.000Z CYCLE: 9/12 localized +2026-02-06T00:05:00.000Z CYCLE: 9/12 localized +2026-02-06T00:05:10.000Z CYCLE: 9/12 localized +2026-02-06T00:05:20.000Z CYCLE: 9/12 localized +2026-02-06T00:05:30.000Z CYCLE: 9/12 localized +2026-02-06T00:05:40.000Z CYCLE: 9/12 localized +2026-02-06T00:05:50.000Z CYCLE: 9/12 localized +2026-02-06T00:06:00.000Z CYCLE: 9/12 localized +2026-02-06T00:06:10.000Z CYCLE: 9/12 localized +2026-02-06T00:06:20.000Z CYCLE: 9/12 localized +2026-02-06T00:06:30.000Z CYCLE: 9/12 localized +2026-02-06T00:06:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:06:40.000Z CYCLE: 8/12 localized +2026-02-06T00:06:50.000Z CYCLE: 9/12 localized +2026-02-06T00:07:01.000Z CYCLE: 9/12 localized +2026-02-06T00:07:11.000Z CYCLE: 9/12 localized +2026-02-06T00:07:21.000Z CYCLE: 9/12 localized +2026-02-06T00:07:31.000Z CYCLE: 9/12 localized +2026-02-06T00:07:41.000Z CYCLE: 9/12 localized +2026-02-06T00:07:51.000Z CYCLE: 9/12 localized +2026-02-06T00:08:01.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:08:01.000Z CYCLE: 8/12 localized +2026-02-06T00:08:11.000Z CYCLE: 9/12 localized +2026-02-06T00:08:21.000Z CYCLE: 9/12 localized +2026-02-06T00:08:31.000Z CYCLE: 9/12 localized +2026-02-06T00:08:41.000Z CYCLE: 9/12 localized +2026-02-06T00:08:51.000Z CYCLE: 9/12 localized +2026-02-06T00:09:01.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:09:01.000Z CYCLE: 8/12 localized +2026-02-06T00:09:11.000Z CYCLE: 9/12 localized +2026-02-06T00:09:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:09:21.000Z CYCLE: 8/12 localized +2026-02-06T00:09:32.000Z CYCLE: 9/12 localized +2026-02-06T00:09:42.000Z CYCLE: 9/12 localized +2026-02-06T00:09:52.000Z CYCLE: 9/12 localized +2026-02-06T00:10:02.000Z CYCLE: 9/12 localized +2026-02-06T00:10:12.000Z CYCLE: 9/12 localized +2026-02-06T00:10:22.000Z CYCLE: 9/12 localized +2026-02-06T00:10:32.000Z CYCLE: 9/12 localized +2026-02-06T00:10:42.000Z CYCLE: 9/12 localized +2026-02-06T00:10:52.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:10:52.000Z CYCLE: 8/12 localized +2026-02-06T00:11:02.000Z CYCLE: 9/12 localized +2026-02-06T00:11:12.000Z CYCLE: 9/12 localized +2026-02-06T00:11:22.000Z CYCLE: 9/12 localized +2026-02-06T00:11:32.000Z CYCLE: 9/12 localized +2026-02-06T00:11:42.000Z CYCLE: 9/12 localized +2026-02-06T00:11:53.000Z CYCLE: 9/12 localized +2026-02-06T00:12:03.000Z CYCLE: 9/12 localized +2026-02-06T00:12:13.000Z CYCLE: 9/12 localized +2026-02-06T00:12:23.000Z CYCLE: 9/12 localized +2026-02-06T00:12:33.000Z CYCLE: 9/12 localized +2026-02-06T00:12:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:12:43.000Z CYCLE: 8/12 localized +2026-02-06T00:12:53.000Z CYCLE: 9/12 localized +2026-02-06T00:13:03.000Z CYCLE: 9/12 localized +2026-02-06T00:13:13.000Z CYCLE: 9/12 localized +2026-02-06T00:13:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:13:23.000Z CYCLE: 8/12 localized +2026-02-06T00:13:33.000Z CYCLE: 9/12 localized +2026-02-06T00:13:43.000Z CYCLE: 9/12 localized +2026-02-06T00:13:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:13:53.000Z CYCLE: 8/12 localized +2026-02-06T00:14:03.000Z CYCLE: 9/12 localized +2026-02-06T00:14:13.000Z CYCLE: 9/12 localized +2026-02-06T00:14:24.000Z CYCLE: 9/12 localized +2026-02-06T00:14:34.000Z CYCLE: 9/12 localized +2026-02-06T00:14:44.000Z CYCLE: 9/12 localized +2026-02-06T00:14:54.000Z CYCLE: 9/12 localized +2026-02-06T00:15:04.000Z CYCLE: 9/12 localized +2026-02-06T00:15:14.000Z CYCLE: 9/12 localized +2026-02-06T00:15:24.000Z CYCLE: 9/12 localized +2026-02-06T00:15:34.000Z CYCLE: 9/12 localized +2026-02-06T00:15:44.000Z CYCLE: 9/12 localized +2026-02-06T00:15:54.000Z CYCLE: 9/12 localized +2026-02-06T00:16:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:16:04.000Z CYCLE: 8/12 localized +2026-02-06T00:16:14.000Z CYCLE: 9/12 localized +2026-02-06T00:16:24.000Z CYCLE: 9/12 localized +2026-02-06T00:16:34.000Z CYCLE: 9/12 localized +2026-02-06T00:16:44.000Z CYCLE: 9/12 localized +2026-02-06T00:16:55.000Z CYCLE: 9/12 localized +2026-02-06T00:17:05.000Z CYCLE: 9/12 localized +2026-02-06T00:17:15.000Z CYCLE: 9/12 localized +2026-02-06T00:17:25.000Z CYCLE: 9/12 localized +2026-02-06T00:17:35.000Z CYCLE: 9/12 localized +2026-02-06T00:17:45.000Z CYCLE: 9/12 localized +2026-02-06T00:17:55.000Z CYCLE: 9/12 localized +2026-02-06T00:18:05.000Z CYCLE: 9/12 localized +2026-02-06T00:18:15.000Z CYCLE: 9/12 localized +2026-02-06T00:18:25.000Z CYCLE: 9/12 localized +2026-02-06T00:18:35.000Z CYCLE: 9/12 localized +2026-02-06T00:18:45.000Z CYCLE: 9/12 localized +2026-02-06T00:18:55.000Z CYCLE: 9/12 localized +2026-02-06T00:19:05.000Z CYCLE: 9/12 localized +2026-02-06T00:19:15.000Z CYCLE: 9/12 localized +2026-02-06T00:19:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:19:26.000Z CYCLE: 8/12 localized +2026-02-06T00:19:36.000Z CYCLE: 9/12 localized +2026-02-06T00:19:46.000Z CYCLE: 9/12 localized +2026-02-06T00:19:56.000Z CYCLE: 9/12 localized +2026-02-06T00:20:06.000Z CYCLE: 9/12 localized +2026-02-06T00:20:16.000Z CYCLE: 9/12 localized +2026-02-06T00:20:26.000Z CYCLE: 9/12 localized +2026-02-06T00:20:36.000Z CYCLE: 9/12 localized +2026-02-06T00:20:46.000Z CYCLE: 9/12 localized +2026-02-06T00:20:56.000Z CYCLE: 9/12 localized +2026-02-06T00:21:06.000Z CYCLE: 9/12 localized +2026-02-06T00:21:16.000Z CYCLE: 9/12 localized +2026-02-06T00:21:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:21:26.000Z CYCLE: 8/12 localized +2026-02-06T00:21:36.000Z CYCLE: 9/12 localized +2026-02-06T00:21:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:21:46.000Z CYCLE: 8/12 localized +2026-02-06T00:21:57.000Z CYCLE: 9/12 localized +2026-02-06T00:22:07.000Z CYCLE: 9/12 localized +2026-02-06T00:22:17.000Z CYCLE: 9/12 localized +2026-02-06T00:22:27.000Z CYCLE: 9/12 localized +2026-02-06T00:22:37.000Z CYCLE: 9/12 localized +2026-02-06T00:22:47.000Z CYCLE: 9/12 localized +2026-02-06T00:22:57.000Z CYCLE: 9/12 localized +2026-02-06T00:23:07.000Z CYCLE: 9/12 localized +2026-02-06T00:23:17.000Z CYCLE: 9/12 localized +2026-02-06T00:23:27.000Z CYCLE: 9/12 localized +2026-02-06T00:23:37.000Z CYCLE: 9/12 localized +2026-02-06T00:23:47.000Z CYCLE: 9/12 localized +2026-02-06T00:23:57.000Z CYCLE: 9/12 localized +2026-02-06T00:24:07.000Z CYCLE: 9/12 localized +2026-02-06T00:24:18.000Z CYCLE: 9/12 localized +2026-02-06T00:24:28.000Z CYCLE: 9/12 localized +2026-02-06T00:24:38.000Z CYCLE: 9/12 localized +2026-02-06T00:24:48.000Z CYCLE: 9/12 localized +2026-02-06T00:24:58.000Z CYCLE: 9/12 localized +2026-02-06T00:25:08.000Z CYCLE: 9/12 localized +2026-02-06T00:25:18.000Z CYCLE: 9/12 localized +2026-02-06T00:25:28.000Z CYCLE: 9/12 localized +2026-02-06T00:25:38.000Z CYCLE: 9/12 localized +2026-02-06T00:25:48.000Z CYCLE: 9/12 localized +2026-02-06T00:25:58.000Z CYCLE: 9/12 localized +2026-02-06T00:26:08.000Z CYCLE: 9/12 localized +2026-02-06T00:26:18.000Z CYCLE: 9/12 localized +2026-02-06T00:26:28.000Z CYCLE: 9/12 localized +2026-02-06T00:26:39.000Z CYCLE: 9/12 localized +2026-02-06T00:26:49.000Z CYCLE: 9/12 localized +2026-02-06T00:26:59.000Z CYCLE: 9/12 localized +2026-02-06T00:27:09.000Z CYCLE: 9/12 localized +2026-02-06T00:27:19.000Z CYCLE: 9/12 localized +2026-02-06T00:27:29.000Z CYCLE: 9/12 localized +2026-02-06T00:27:39.000Z CYCLE: 9/12 localized +2026-02-06T00:27:49.000Z CYCLE: 9/12 localized +2026-02-06T00:27:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:27:59.000Z CYCLE: 8/12 localized +2026-02-06T00:28:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:28:09.000Z CYCLE: 8/12 localized +2026-02-06T00:28:19.000Z CYCLE: 9/12 localized +2026-02-06T00:28:29.000Z CYCLE: 9/12 localized +2026-02-06T00:28:39.000Z CYCLE: 9/12 localized +2026-02-06T00:28:49.000Z CYCLE: 9/12 localized +2026-02-06T00:28:59.000Z CYCLE: 9/12 localized +2026-02-06T00:29:10.000Z CYCLE: 9/12 localized +2026-02-06T00:29:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:29:20.000Z CYCLE: 8/12 localized +2026-02-06T00:29:30.000Z CYCLE: 9/12 localized +2026-02-06T00:29:40.000Z CYCLE: 9/12 localized +2026-02-06T00:29:50.000Z CYCLE: 9/12 localized +2026-02-06T00:30:00.000Z CYCLE: 9/12 localized +2026-02-06T00:30:10.000Z CYCLE: 9/12 localized +2026-02-06T00:30:20.000Z CYCLE: 9/12 localized +2026-02-06T00:30:30.000Z CYCLE: 9/12 localized +2026-02-06T00:30:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:30:40.000Z CYCLE: 8/12 localized +2026-02-06T00:30:50.000Z CYCLE: 9/12 localized +2026-02-06T00:31:00.000Z CYCLE: 9/12 localized +2026-02-06T00:31:10.000Z CYCLE: 9/12 localized +2026-02-06T00:31:20.000Z CYCLE: 9/12 localized +2026-02-06T00:31:31.000Z CYCLE: 9/12 localized +2026-02-06T00:31:41.000Z CYCLE: 9/12 localized +2026-02-06T00:31:51.000Z CYCLE: 9/12 localized +2026-02-06T00:32:01.000Z CYCLE: 9/12 localized +2026-02-06T00:32:11.000Z CYCLE: 9/12 localized +2026-02-06T00:32:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:32:21.000Z CYCLE: 8/12 localized +2026-02-06T00:32:31.000Z CYCLE: 9/12 localized +2026-02-06T00:32:41.000Z CYCLE: 9/12 localized +2026-02-06T00:32:51.000Z CYCLE: 9/12 localized +2026-02-06T00:33:01.000Z CYCLE: 9/12 localized +2026-02-06T00:33:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:33:11.000Z CYCLE: 8/12 localized +2026-02-06T00:33:21.000Z CYCLE: 9/12 localized +2026-02-06T00:33:31.000Z CYCLE: 9/12 localized +2026-02-06T00:33:41.000Z CYCLE: 9/12 localized +2026-02-06T00:33:51.000Z CYCLE: 9/12 localized +2026-02-06T00:34:02.000Z CYCLE: 9/12 localized +2026-02-06T00:34:12.000Z CYCLE: 9/12 localized +2026-02-06T00:34:22.000Z CYCLE: 9/12 localized +2026-02-06T00:34:32.000Z CYCLE: 9/12 localized +2026-02-06T00:34:42.000Z CYCLE: 9/12 localized +2026-02-06T00:34:52.000Z CYCLE: 9/12 localized +2026-02-06T00:35:02.000Z CYCLE: 9/12 localized +2026-02-06T00:35:12.000Z CYCLE: 9/12 localized +2026-02-06T00:35:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:35:22.000Z CYCLE: 8/12 localized +2026-02-06T00:35:32.000Z CYCLE: 9/12 localized +2026-02-06T00:35:42.000Z CYCLE: 9/12 localized +2026-02-06T00:35:52.000Z CYCLE: 9/12 localized +2026-02-06T00:36:02.000Z CYCLE: 9/12 localized +2026-02-06T00:36:12.000Z CYCLE: 9/12 localized +2026-02-06T00:36:22.000Z CYCLE: 9/12 localized +2026-02-06T00:36:33.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:36:33.000Z CYCLE: 8/12 localized +2026-02-06T00:36:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:36:43.000Z CYCLE: 8/12 localized +2026-02-06T00:36:53.000Z CYCLE: 9/12 localized +2026-02-06T00:37:03.000Z CYCLE: 9/12 localized +2026-02-06T00:37:13.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:37:13.000Z CYCLE: 8/12 localized +2026-02-06T00:37:23.000Z CYCLE: 9/12 localized +2026-02-06T00:37:33.000Z CYCLE: 9/12 localized +2026-02-06T00:37:43.000Z CYCLE: 9/12 localized +2026-02-06T00:37:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:37:53.000Z CYCLE: 8/12 localized +2026-02-06T00:38:03.000Z CYCLE: 9/12 localized +2026-02-06T00:38:13.000Z CYCLE: 9/12 localized +2026-02-06T00:38:23.000Z CYCLE: 9/12 localized +2026-02-06T00:38:33.000Z CYCLE: 9/12 localized +2026-02-06T00:38:43.000Z CYCLE: 9/12 localized +2026-02-06T00:38:53.000Z CYCLE: 9/12 localized +2026-02-06T00:39:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:39:04.000Z CYCLE: 8/12 localized +2026-02-06T00:39:14.000Z CYCLE: 9/12 localized +2026-02-06T00:39:24.000Z CYCLE: 9/12 localized +2026-02-06T00:39:34.000Z CYCLE: 9/12 localized +2026-02-06T00:39:44.000Z CYCLE: 9/12 localized +2026-02-06T00:39:54.000Z CYCLE: 9/12 localized +2026-02-06T00:40:04.000Z CYCLE: 9/12 localized +2026-02-06T00:40:14.000Z CYCLE: 9/12 localized +2026-02-06T00:40:24.000Z CYCLE: 9/12 localized +2026-02-06T00:40:34.000Z CYCLE: 9/12 localized +2026-02-06T00:40:44.000Z CYCLE: 9/12 localized +2026-02-06T00:40:54.000Z CYCLE: 9/12 localized +2026-02-06T00:41:04.000Z CYCLE: 9/12 localized +2026-02-06T00:41:14.000Z CYCLE: 9/12 localized +2026-02-06T00:41:24.000Z CYCLE: 9/12 localized +2026-02-06T00:41:35.000Z CYCLE: 9/12 localized +2026-02-06T00:41:45.000Z CYCLE: 9/12 localized +2026-02-06T00:41:55.000Z CYCLE: 9/12 localized +2026-02-06T00:42:05.000Z CYCLE: 9/12 localized +2026-02-06T00:42:15.000Z CYCLE: 9/12 localized +2026-02-06T00:42:25.000Z CYCLE: 9/12 localized +2026-02-06T00:42:35.000Z CYCLE: 9/12 localized +2026-02-06T00:42:45.000Z CYCLE: 9/12 localized +2026-02-06T00:42:55.000Z CYCLE: 9/12 localized +2026-02-06T00:43:05.000Z CYCLE: 9/12 localized +2026-02-06T00:43:15.000Z CYCLE: 9/12 localized +2026-02-06T00:43:25.000Z CYCLE: 9/12 localized +2026-02-06T00:43:36.000Z CYCLE: 9/12 localized +2026-02-06T00:43:46.000Z CYCLE: 9/12 localized +2026-02-06T00:43:56.000Z CYCLE: 9/12 localized +2026-02-06T00:44:06.000Z CYCLE: 9/12 localized +2026-02-06T00:44:16.000Z CYCLE: 9/12 localized +2026-02-06T00:44:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:44:26.000Z CYCLE: 8/12 localized +2026-02-06T00:44:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:44:36.000Z CYCLE: 8/12 localized +2026-02-06T00:44:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:44:46.000Z CYCLE: 8/12 localized +2026-02-06T00:44:56.000Z CYCLE: 9/12 localized +2026-02-06T00:45:06.000Z CYCLE: 9/12 localized +2026-02-06T00:45:16.000Z CYCLE: 9/12 localized +2026-02-06T00:45:26.000Z CYCLE: 9/12 localized +2026-02-06T00:45:36.000Z CYCLE: 9/12 localized +2026-02-06T00:45:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:45:46.000Z CYCLE: 8/12 localized +2026-02-06T00:45:56.000Z CYCLE: 9/12 localized +2026-02-06T00:46:07.000Z CYCLE: 9/12 localized +2026-02-06T00:46:17.000Z CYCLE: 9/12 localized +2026-02-06T00:46:27.000Z CYCLE: 9/12 localized +2026-02-06T00:46:37.000Z CYCLE: 9/12 localized +2026-02-06T00:46:47.000Z CYCLE: 9/12 localized +2026-02-06T00:46:57.000Z CYCLE: 9/12 localized +2026-02-06T00:47:07.000Z CYCLE: 9/12 localized +2026-02-06T00:47:17.000Z CYCLE: 9/12 localized +2026-02-06T00:47:27.000Z CYCLE: 9/12 localized +2026-02-06T00:47:37.000Z CYCLE: 9/12 localized +2026-02-06T00:47:47.000Z CYCLE: 9/12 localized +2026-02-06T00:47:57.000Z CYCLE: 9/12 localized +2026-02-06T00:48:07.000Z CYCLE: 9/12 localized +2026-02-06T00:48:17.000Z CYCLE: 9/12 localized +2026-02-06T00:48:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:48:27.000Z CYCLE: 8/12 localized +2026-02-06T00:48:38.000Z CYCLE: 9/12 localized +2026-02-06T00:48:48.000Z CYCLE: 9/12 localized +2026-02-06T00:48:58.000Z CYCLE: 9/12 localized +2026-02-06T00:49:08.000Z CYCLE: 9/12 localized +2026-02-06T00:49:18.000Z CYCLE: 9/12 localized +2026-02-06T00:49:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:49:28.000Z CYCLE: 8/12 localized +2026-02-06T00:49:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:49:38.000Z CYCLE: 8/12 localized +2026-02-06T00:49:48.000Z CYCLE: 9/12 localized +2026-02-06T00:49:58.000Z CYCLE: 9/12 localized +2026-02-06T00:50:08.000Z CYCLE: 9/12 localized +2026-02-06T00:50:18.000Z CYCLE: 9/12 localized +2026-02-06T00:50:28.000Z CYCLE: 9/12 localized +2026-02-06T00:50:38.000Z CYCLE: 9/12 localized +2026-02-06T00:50:48.000Z CYCLE: 9/12 localized +2026-02-06T00:50:58.000Z CYCLE: 9/12 localized +2026-02-06T00:51:09.000Z CYCLE: 9/12 localized +2026-02-06T00:51:19.000Z CYCLE: 9/12 localized +2026-02-06T00:51:29.000Z CYCLE: 9/12 localized +2026-02-06T00:51:39.000Z CYCLE: 9/12 localized +2026-02-06T00:51:49.000Z CYCLE: 9/12 localized +2026-02-06T00:51:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:51:59.000Z CYCLE: 8/12 localized +2026-02-06T00:52:09.000Z CYCLE: 9/12 localized +2026-02-06T00:52:19.000Z CYCLE: 9/12 localized +2026-02-06T00:52:29.000Z CYCLE: 9/12 localized +2026-02-06T00:52:39.000Z CYCLE: 9/12 localized +2026-02-06T00:52:49.000Z CYCLE: 9/12 localized +2026-02-06T00:52:59.000Z CYCLE: 9/12 localized +2026-02-06T00:53:09.000Z CYCLE: 9/12 localized +2026-02-06T00:53:19.000Z CYCLE: 9/12 localized +2026-02-06T00:53:29.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:53:29.000Z CYCLE: 8/12 localized +2026-02-06T00:53:40.000Z CYCLE: 9/12 localized +2026-02-06T00:53:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:53:50.000Z CYCLE: 8/12 localized +2026-02-06T00:54:00.000Z CYCLE: 9/12 localized +2026-02-06T00:54:10.000Z CYCLE: 9/12 localized +2026-02-06T00:54:20.000Z CYCLE: 9/12 localized +2026-02-06T00:54:30.000Z CYCLE: 9/12 localized +2026-02-06T00:54:40.000Z CYCLE: 9/12 localized +2026-02-06T00:54:50.000Z CYCLE: 9/12 localized +2026-02-06T00:55:00.000Z CYCLE: 9/12 localized +2026-02-06T00:55:10.000Z CYCLE: 9/12 localized +2026-02-06T00:55:20.000Z CYCLE: 9/12 localized +2026-02-06T00:55:30.000Z CYCLE: 9/12 localized +2026-02-06T00:55:41.000Z CYCLE: 9/12 localized +2026-02-06T00:55:51.000Z CYCLE: 9/12 localized +2026-02-06T00:56:01.000Z CYCLE: 9/12 localized +2026-02-06T00:56:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:56:11.000Z CYCLE: 8/12 localized +2026-02-06T00:56:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:56:21.000Z CYCLE: 8/12 localized +2026-02-06T00:56:31.000Z CYCLE: 9/12 localized +2026-02-06T00:56:41.000Z CYCLE: 9/12 localized +2026-02-06T00:56:51.000Z CYCLE: 9/12 localized +2026-02-06T00:57:01.000Z CYCLE: 9/12 localized +2026-02-06T00:57:11.000Z CYCLE: 9/12 localized +2026-02-06T00:57:21.000Z CYCLE: 9/12 localized +2026-02-06T00:57:31.000Z CYCLE: 9/12 localized +2026-02-06T00:57:41.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T00:57:41.000Z CYCLE: 8/12 localized +2026-02-06T00:57:51.000Z CYCLE: 9/12 localized +2026-02-06T00:58:01.000Z CYCLE: 9/12 localized +2026-02-06T00:58:12.000Z CYCLE: 9/12 localized +2026-02-06T00:58:22.000Z CYCLE: 9/12 localized +2026-02-06T00:58:32.000Z CYCLE: 9/12 localized +2026-02-06T00:58:42.000Z CYCLE: 9/12 localized +2026-02-06T00:58:52.000Z CYCLE: 9/12 localized +2026-02-06T00:59:02.000Z CYCLE: 9/12 localized +2026-02-06T00:59:12.000Z CYCLE: 9/12 localized +2026-02-06T00:59:22.000Z CYCLE: 9/12 localized +2026-02-06T00:59:32.000Z CYCLE: 9/12 localized +2026-02-06T00:59:42.000Z CYCLE: 9/12 localized +2026-02-06T00:59:52.000Z CYCLE: 9/12 localized +2026-02-06T01:00:02.000Z CYCLE: 9/12 localized +2026-02-06T01:00:12.000Z CYCLE: 9/12 localized +2026-02-06T01:00:22.000Z CYCLE: 9/12 localized +2026-02-06T01:00:33.000Z CYCLE: 9/12 localized +2026-02-06T01:00:43.000Z CYCLE: 9/12 localized +2026-02-06T01:00:53.000Z CYCLE: 9/12 localized +2026-02-06T01:01:03.000Z CYCLE: 9/12 localized +2026-02-06T01:01:13.000Z CYCLE: 9/12 localized +2026-02-06T01:01:23.000Z CYCLE: 9/12 localized +2026-02-06T01:01:33.000Z CYCLE: 9/12 localized +2026-02-06T01:01:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:01:43.000Z CYCLE: 8/12 localized +2026-02-06T01:01:53.000Z CYCLE: 9/12 localized +2026-02-06T01:02:03.000Z CYCLE: 9/12 localized +2026-02-06T01:02:13.000Z CYCLE: 9/12 localized +2026-02-06T01:02:23.000Z CYCLE: 9/12 localized +2026-02-06T01:02:33.000Z CYCLE: 9/12 localized +2026-02-06T01:02:43.000Z CYCLE: 9/12 localized +2026-02-06T01:02:53.000Z CYCLE: 9/12 localized +2026-02-06T01:03:04.000Z CYCLE: 9/12 localized +2026-02-06T01:03:14.000Z CYCLE: 9/12 localized +2026-02-06T01:03:24.000Z CYCLE: 9/12 localized +2026-02-06T01:03:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:03:34.000Z CYCLE: 8/12 localized +2026-02-06T01:03:44.000Z CYCLE: 9/12 localized +2026-02-06T01:03:54.000Z CYCLE: 9/12 localized +2026-02-06T01:04:04.000Z CYCLE: 9/12 localized +2026-02-06T01:04:14.000Z CYCLE: 9/12 localized +2026-02-06T01:04:24.000Z CYCLE: 9/12 localized +2026-02-06T01:04:34.000Z CYCLE: 9/12 localized +2026-02-06T01:04:44.000Z CYCLE: 9/12 localized +2026-02-06T01:04:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:04:54.000Z CYCLE: 8/12 localized +2026-02-06T01:05:04.000Z CYCLE: 9/12 localized +2026-02-06T01:05:14.000Z CYCLE: 9/12 localized +2026-02-06T01:05:24.000Z CYCLE: 9/12 localized +2026-02-06T01:05:35.000Z CYCLE: 9/12 localized +2026-02-06T01:05:45.000Z CYCLE: 9/12 localized +2026-02-06T01:05:55.000Z CYCLE: 9/12 localized +2026-02-06T01:06:05.000Z CYCLE: 9/12 localized +2026-02-06T01:06:15.000Z CYCLE: 9/12 localized +2026-02-06T01:06:25.000Z CYCLE: 9/12 localized +2026-02-06T01:06:35.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:06:35.000Z CYCLE: 8/12 localized +2026-02-06T01:06:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:06:45.000Z CYCLE: 8/12 localized +2026-02-06T01:06:55.000Z CYCLE: 9/12 localized +2026-02-06T01:07:05.000Z CYCLE: 9/12 localized +2026-02-06T01:07:15.000Z CYCLE: 9/12 localized +2026-02-06T01:07:25.000Z CYCLE: 9/12 localized +2026-02-06T01:07:35.000Z CYCLE: 9/12 localized +2026-02-06T01:07:45.000Z CYCLE: 9/12 localized +2026-02-06T01:07:55.000Z CYCLE: 9/12 localized +2026-02-06T01:08:06.000Z CYCLE: 9/12 localized +2026-02-06T01:08:16.000Z CYCLE: 9/12 localized +2026-02-06T01:08:26.000Z CYCLE: 9/12 localized +2026-02-06T01:08:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:08:36.000Z CYCLE: 8/12 localized +2026-02-06T01:08:46.000Z CYCLE: 9/12 localized +2026-02-06T01:08:56.000Z CYCLE: 9/12 localized +2026-02-06T01:09:06.000Z CYCLE: 9/12 localized +2026-02-06T01:09:16.000Z CYCLE: 9/12 localized +2026-02-06T01:09:26.000Z CYCLE: 9/12 localized +2026-02-06T01:09:36.000Z CYCLE: 9/12 localized +2026-02-06T01:09:46.000Z CYCLE: 9/12 localized +2026-02-06T01:09:56.000Z CYCLE: 9/12 localized +2026-02-06T01:10:06.000Z CYCLE: 9/12 localized +2026-02-06T01:10:16.000Z CYCLE: 9/12 localized +2026-02-06T01:10:26.000Z CYCLE: 9/12 localized +2026-02-06T01:10:37.000Z CYCLE: 9/12 localized +2026-02-06T01:10:47.000Z CYCLE: 9/12 localized +2026-02-06T01:10:57.000Z CYCLE: 9/12 localized +2026-02-06T01:11:07.000Z CYCLE: 9/12 localized +2026-02-06T01:11:17.000Z CYCLE: 9/12 localized +2026-02-06T01:11:27.000Z CYCLE: 9/12 localized +2026-02-06T01:11:37.000Z CYCLE: 9/12 localized +2026-02-06T01:11:47.000Z CYCLE: 9/12 localized +2026-02-06T01:11:57.000Z CYCLE: 9/12 localized +2026-02-06T01:12:07.000Z CYCLE: 9/12 localized +2026-02-06T01:12:17.000Z CYCLE: 9/12 localized +2026-02-06T01:12:27.000Z CYCLE: 9/12 localized +2026-02-06T01:12:37.000Z CYCLE: 9/12 localized +2026-02-06T01:12:47.000Z CYCLE: 9/12 localized +2026-02-06T01:12:57.000Z CYCLE: 9/12 localized +2026-02-06T01:13:08.000Z CYCLE: 9/12 localized +2026-02-06T01:13:18.000Z CYCLE: 9/12 localized +2026-02-06T01:13:28.000Z CYCLE: 9/12 localized +2026-02-06T01:13:38.000Z CYCLE: 9/12 localized +2026-02-06T01:13:48.000Z CYCLE: 9/12 localized +2026-02-06T01:13:58.000Z CYCLE: 9/12 localized +2026-02-06T01:14:08.000Z CYCLE: 9/12 localized +2026-02-06T01:14:18.000Z CYCLE: 9/12 localized +2026-02-06T01:14:28.000Z CYCLE: 9/12 localized +2026-02-06T01:14:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:14:38.000Z CYCLE: 8/12 localized +2026-02-06T01:14:48.000Z CYCLE: 9/12 localized +2026-02-06T01:14:58.000Z CYCLE: 9/12 localized +2026-02-06T01:15:08.000Z CYCLE: 9/12 localized +2026-02-06T01:15:18.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:15:18.000Z CYCLE: 8/12 localized +2026-02-06T01:15:28.000Z CYCLE: 9/12 localized +2026-02-06T01:15:38.000Z CYCLE: 9/12 localized +2026-02-06T01:15:49.000Z CYCLE: 9/12 localized +2026-02-06T01:15:59.000Z CYCLE: 9/12 localized +2026-02-06T01:16:09.000Z CYCLE: 9/12 localized +2026-02-06T01:16:19.000Z CYCLE: 9/12 localized +2026-02-06T01:16:29.000Z CYCLE: 9/12 localized +2026-02-06T01:16:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:16:39.000Z CYCLE: 8/12 localized +2026-02-06T01:16:49.000Z CYCLE: 9/12 localized +2026-02-06T01:16:59.000Z CYCLE: 9/12 localized +2026-02-06T01:17:09.000Z CYCLE: 9/12 localized +2026-02-06T01:17:19.000Z CYCLE: 9/12 localized +2026-02-06T01:17:29.000Z CYCLE: 9/12 localized +2026-02-06T01:17:39.000Z CYCLE: 9/12 localized +2026-02-06T01:17:49.000Z CYCLE: 9/12 localized +2026-02-06T01:17:59.000Z CYCLE: 9/12 localized +2026-02-06T01:18:09.000Z CYCLE: 9/12 localized +2026-02-06T01:18:20.000Z CYCLE: 9/12 localized +2026-02-06T01:18:30.000Z CYCLE: 9/12 localized +2026-02-06T01:18:40.000Z CYCLE: 9/12 localized +2026-02-06T01:18:50.000Z CYCLE: 9/12 localized +2026-02-06T01:19:00.000Z CYCLE: 9/12 localized +2026-02-06T01:19:10.000Z CYCLE: 9/12 localized +2026-02-06T01:19:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:19:20.000Z CYCLE: 8/12 localized +2026-02-06T01:19:30.000Z CYCLE: 9/12 localized +2026-02-06T01:19:40.000Z CYCLE: 9/12 localized +2026-02-06T01:19:50.000Z CYCLE: 9/12 localized +2026-02-06T01:20:00.000Z CYCLE: 9/12 localized +2026-02-06T01:20:10.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:20:10.000Z CYCLE: 8/12 localized +2026-02-06T01:20:20.000Z CYCLE: 9/12 localized +2026-02-06T01:20:30.000Z CYCLE: 9/12 localized +2026-02-06T01:20:40.000Z CYCLE: 9/12 localized +2026-02-06T01:20:51.000Z CYCLE: 9/12 localized +2026-02-06T01:21:01.000Z CYCLE: 9/12 localized +2026-02-06T01:21:11.000Z CYCLE: 9/12 localized +2026-02-06T01:21:21.000Z CYCLE: 9/12 localized +2026-02-06T01:21:31.000Z CYCLE: 9/12 localized +2026-02-06T01:21:41.000Z CYCLE: 9/12 localized +2026-02-06T01:21:51.000Z CYCLE: 9/12 localized +2026-02-06T01:22:01.000Z CYCLE: 9/12 localized +2026-02-06T01:22:11.000Z CYCLE: 9/12 localized +2026-02-06T01:22:21.000Z CYCLE: 9/12 localized +2026-02-06T01:22:31.000Z CYCLE: 9/12 localized +2026-02-06T01:22:41.000Z CYCLE: 9/12 localized +2026-02-06T01:22:51.000Z CYCLE: 9/12 localized +2026-02-06T01:23:01.000Z CYCLE: 9/12 localized +2026-02-06T01:23:12.000Z CYCLE: 9/12 localized +2026-02-06T01:23:22.000Z CYCLE: 9/12 localized +2026-02-06T01:23:32.000Z CYCLE: 9/12 localized +2026-02-06T01:23:42.000Z CYCLE: 9/12 localized +2026-02-06T01:23:52.000Z CYCLE: 9/12 localized +2026-02-06T01:24:02.000Z CYCLE: 9/12 localized +2026-02-06T01:24:12.000Z CYCLE: 9/12 localized +2026-02-06T01:24:22.000Z CYCLE: 9/12 localized +2026-02-06T01:24:32.000Z CYCLE: 9/12 localized +2026-02-06T01:24:42.000Z CYCLE: 9/12 localized +2026-02-06T01:24:52.000Z CYCLE: 9/12 localized +2026-02-06T01:25:02.000Z CYCLE: 9/12 localized +2026-02-06T01:25:12.000Z CYCLE: 9/12 localized +2026-02-06T01:25:22.000Z CYCLE: 9/12 localized +2026-02-06T01:25:33.000Z CYCLE: 9/12 localized +2026-02-06T01:25:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:25:43.000Z CYCLE: 8/12 localized +2026-02-06T01:25:53.000Z CYCLE: 9/12 localized +2026-02-06T01:26:03.000Z CYCLE: 9/12 localized +2026-02-06T01:26:13.000Z CYCLE: 9/12 localized +2026-02-06T01:26:23.000Z CYCLE: 9/12 localized +2026-02-06T01:26:33.000Z CYCLE: 9/12 localized +2026-02-06T01:26:43.000Z CYCLE: 9/12 localized +2026-02-06T01:26:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:26:53.000Z CYCLE: 8/12 localized +2026-02-06T01:27:03.000Z CYCLE: 9/12 localized +2026-02-06T01:27:13.000Z CYCLE: 9/12 localized +2026-02-06T01:27:23.000Z CYCLE: 9/12 localized +2026-02-06T01:27:33.000Z CYCLE: 9/12 localized +2026-02-06T01:27:43.000Z CYCLE: 9/12 localized +2026-02-06T01:27:54.000Z CYCLE: 9/12 localized +2026-02-06T01:28:04.000Z CYCLE: 9/12 localized +2026-02-06T01:28:14.000Z CYCLE: 9/12 localized +2026-02-06T01:28:24.000Z CYCLE: 9/12 localized +2026-02-06T01:28:34.000Z CYCLE: 9/12 localized +2026-02-06T01:28:44.000Z CYCLE: 9/12 localized +2026-02-06T01:28:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:28:54.000Z CYCLE: 8/12 localized +2026-02-06T01:29:04.000Z CYCLE: 9/12 localized +2026-02-06T01:29:14.000Z CYCLE: 9/12 localized +2026-02-06T01:29:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:29:24.000Z CYCLE: 8/12 localized +2026-02-06T01:29:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:29:34.000Z CYCLE: 8/12 localized +2026-02-06T01:29:44.000Z CYCLE: 9/12 localized +2026-02-06T01:29:54.000Z CYCLE: 9/12 localized +2026-02-06T01:30:04.000Z CYCLE: 9/12 localized +2026-02-06T01:30:14.000Z CYCLE: 9/12 localized +2026-02-06T01:30:25.000Z CYCLE: 9/12 localized +2026-02-06T01:30:35.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:30:35.000Z CYCLE: 8/12 localized +2026-02-06T01:30:45.000Z CYCLE: 9/12 localized +2026-02-06T01:30:55.000Z CYCLE: 9/12 localized +2026-02-06T01:31:05.000Z CYCLE: 9/12 localized +2026-02-06T01:31:15.000Z CYCLE: 9/12 localized +2026-02-06T01:31:25.000Z CYCLE: 9/12 localized +2026-02-06T01:31:35.000Z CYCLE: 9/12 localized +2026-02-06T01:31:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:31:45.000Z CYCLE: 8/12 localized +2026-02-06T01:31:55.000Z CYCLE: 9/12 localized +2026-02-06T01:32:05.000Z CYCLE: 9/12 localized +2026-02-06T01:32:15.000Z CYCLE: 9/12 localized +2026-02-06T01:32:25.000Z CYCLE: 9/12 localized +2026-02-06T01:32:35.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:32:35.000Z CYCLE: 8/12 localized +2026-02-06T01:32:45.000Z CYCLE: 9/12 localized +2026-02-06T01:32:56.000Z CYCLE: 9/12 localized +2026-02-06T01:33:06.000Z CYCLE: 9/12 localized +2026-02-06T01:33:16.000Z CYCLE: 9/12 localized +2026-02-06T01:33:26.000Z CYCLE: 9/12 localized +2026-02-06T01:33:36.000Z CYCLE: 9/12 localized +2026-02-06T01:33:46.000Z CYCLE: 9/12 localized +2026-02-06T01:33:56.000Z CYCLE: 9/12 localized +2026-02-06T01:34:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:34:06.000Z CYCLE: 8/12 localized +2026-02-06T01:34:16.000Z CYCLE: 9/12 localized +2026-02-06T01:34:26.000Z CYCLE: 9/12 localized +2026-02-06T01:34:36.000Z CYCLE: 9/12 localized +2026-02-06T01:34:46.000Z CYCLE: 9/12 localized +2026-02-06T01:34:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:34:56.000Z CYCLE: 8/12 localized +2026-02-06T01:35:06.000Z CYCLE: 9/12 localized +2026-02-06T01:35:16.000Z CYCLE: 9/12 localized +2026-02-06T01:35:27.000Z CYCLE: 9/12 localized +2026-02-06T01:35:37.000Z CYCLE: 9/12 localized +2026-02-06T01:35:47.000Z CYCLE: 9/12 localized +2026-02-06T01:35:57.000Z CYCLE: 9/12 localized +2026-02-06T01:36:07.000Z CYCLE: 9/12 localized +2026-02-06T01:36:17.000Z CYCLE: 9/12 localized +2026-02-06T01:36:27.000Z CYCLE: 9/12 localized +2026-02-06T01:36:37.000Z CYCLE: 9/12 localized +2026-02-06T01:36:47.000Z CYCLE: 9/12 localized +2026-02-06T01:36:57.000Z CYCLE: 9/12 localized +2026-02-06T01:37:07.000Z CYCLE: 9/12 localized +2026-02-06T01:37:17.000Z CYCLE: 9/12 localized +2026-02-06T01:37:27.000Z CYCLE: 9/12 localized +2026-02-06T01:37:37.000Z CYCLE: 9/12 localized +2026-02-06T01:37:47.000Z CYCLE: 9/12 localized +2026-02-06T01:37:58.000Z CYCLE: 9/12 localized +2026-02-06T01:38:08.000Z CYCLE: 9/12 localized +2026-02-06T01:38:18.000Z CYCLE: 9/12 localized +2026-02-06T01:38:28.000Z CYCLE: 9/12 localized +2026-02-06T01:38:38.000Z CYCLE: 9/12 localized +2026-02-06T01:38:48.000Z CYCLE: 9/12 localized +2026-02-06T01:38:58.000Z CYCLE: 9/12 localized +2026-02-06T01:39:08.000Z CYCLE: 9/12 localized +2026-02-06T01:39:18.000Z CYCLE: 9/12 localized +2026-02-06T01:39:28.000Z CYCLE: 9/12 localized +2026-02-06T01:39:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:39:38.000Z CYCLE: 8/12 localized +2026-02-06T01:39:48.000Z CYCLE: 9/12 localized +2026-02-06T01:39:58.000Z CYCLE: 9/12 localized +2026-02-06T01:40:08.000Z CYCLE: 9/12 localized +2026-02-06T01:40:18.000Z CYCLE: 9/12 localized +2026-02-06T01:40:29.000Z CYCLE: 9/12 localized +2026-02-06T01:40:39.000Z CYCLE: 9/12 localized +2026-02-06T01:40:49.000Z CYCLE: 9/12 localized +2026-02-06T01:40:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:40:59.000Z CYCLE: 8/12 localized +2026-02-06T01:41:09.000Z CYCLE: 9/12 localized +2026-02-06T01:41:19.000Z CYCLE: 9/12 localized +2026-02-06T01:41:29.000Z CYCLE: 9/12 localized +2026-02-06T01:41:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:41:39.000Z CYCLE: 8/12 localized +2026-02-06T01:41:49.000Z CYCLE: 9/12 localized +2026-02-06T01:41:59.000Z CYCLE: 9/12 localized +2026-02-06T01:42:09.000Z CYCLE: 9/12 localized +2026-02-06T01:42:19.000Z CYCLE: 9/12 localized +2026-02-06T01:42:29.000Z CYCLE: 9/12 localized +2026-02-06T01:42:39.000Z CYCLE: 9/12 localized +2026-02-06T01:42:50.000Z CYCLE: 9/12 localized +2026-02-06T01:43:00.000Z CYCLE: 9/12 localized +2026-02-06T01:43:10.000Z CYCLE: 9/12 localized +2026-02-06T01:43:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:43:20.000Z CYCLE: 8/12 localized +2026-02-06T01:43:30.000Z CYCLE: 9/12 localized +2026-02-06T01:43:40.000Z CYCLE: 9/12 localized +2026-02-06T01:43:50.000Z CYCLE: 9/12 localized +2026-02-06T01:44:00.000Z CYCLE: 9/12 localized +2026-02-06T01:44:10.000Z CYCLE: 9/12 localized +2026-02-06T01:44:20.000Z CYCLE: 9/12 localized +2026-02-06T01:44:30.000Z CYCLE: 9/12 localized +2026-02-06T01:44:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:44:40.000Z CYCLE: 8/12 localized +2026-02-06T01:44:50.000Z CYCLE: 9/12 localized +2026-02-06T01:45:00.000Z CYCLE: 9/12 localized +2026-02-06T01:45:10.000Z CYCLE: 9/12 localized +2026-02-06T01:45:21.000Z CYCLE: 9/12 localized +2026-02-06T01:45:31.000Z CYCLE: 9/12 localized +2026-02-06T01:45:41.000Z CYCLE: 9/12 localized +2026-02-06T01:45:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:45:51.000Z CYCLE: 8/12 localized +2026-02-06T01:46:01.000Z CYCLE: 9/12 localized +2026-02-06T01:46:11.000Z CYCLE: 9/12 localized +2026-02-06T01:46:21.000Z CYCLE: 9/12 localized +2026-02-06T01:46:31.000Z CYCLE: 9/12 localized +2026-02-06T01:46:41.000Z CYCLE: 9/12 localized +2026-02-06T01:46:51.000Z CYCLE: 9/12 localized +2026-02-06T01:47:01.000Z CYCLE: 9/12 localized +2026-02-06T01:47:11.000Z CYCLE: 9/12 localized +2026-02-06T01:47:21.000Z CYCLE: 9/12 localized +2026-02-06T01:47:31.000Z CYCLE: 9/12 localized +2026-02-06T01:47:42.000Z CYCLE: 9/12 localized +2026-02-06T01:47:52.000Z CYCLE: 9/12 localized +2026-02-06T01:48:02.000Z CYCLE: 9/12 localized +2026-02-06T01:48:12.000Z CYCLE: 9/12 localized +2026-02-06T01:48:22.000Z CYCLE: 9/12 localized +2026-02-06T01:48:32.000Z CYCLE: 9/12 localized +2026-02-06T01:48:42.000Z CYCLE: 9/12 localized +2026-02-06T01:48:52.000Z CYCLE: 9/12 localized +2026-02-06T01:49:02.000Z CYCLE: 9/12 localized +2026-02-06T01:49:12.000Z CYCLE: 9/12 localized +2026-02-06T01:49:22.000Z CYCLE: 9/12 localized +2026-02-06T01:49:32.000Z CYCLE: 9/12 localized +2026-02-06T01:49:42.000Z CYCLE: 9/12 localized +2026-02-06T01:49:52.000Z CYCLE: 9/12 localized +2026-02-06T01:50:03.000Z CYCLE: 9/12 localized +2026-02-06T01:50:13.000Z CYCLE: 9/12 localized +2026-02-06T01:50:23.000Z CYCLE: 9/12 localized +2026-02-06T01:50:33.000Z CYCLE: 9/12 localized +2026-02-06T01:50:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:50:43.000Z CYCLE: 8/12 localized +2026-02-06T01:50:53.000Z CYCLE: 9/12 localized +2026-02-06T01:51:03.000Z CYCLE: 9/12 localized +2026-02-06T01:51:13.000Z CYCLE: 9/12 localized +2026-02-06T01:51:23.000Z CYCLE: 9/12 localized +2026-02-06T01:51:33.000Z CYCLE: 9/12 localized +2026-02-06T01:51:43.000Z CYCLE: 9/12 localized +2026-02-06T01:51:53.000Z CYCLE: 9/12 localized +2026-02-06T01:52:03.000Z CYCLE: 9/12 localized +2026-02-06T01:52:13.000Z CYCLE: 9/12 localized +2026-02-06T01:52:23.000Z CYCLE: 9/12 localized +2026-02-06T01:52:34.000Z CYCLE: 9/12 localized +2026-02-06T01:52:44.000Z CYCLE: 9/12 localized +2026-02-06T01:52:54.000Z CYCLE: 9/12 localized +2026-02-06T01:53:04.000Z CYCLE: 9/12 localized +2026-02-06T01:53:14.000Z CYCLE: 9/12 localized +2026-02-06T01:53:24.000Z CYCLE: 9/12 localized +2026-02-06T01:53:34.000Z CYCLE: 9/12 localized +2026-02-06T01:53:44.000Z CYCLE: 9/12 localized +2026-02-06T01:53:54.000Z CYCLE: 9/12 localized +2026-02-06T01:54:04.000Z CYCLE: 9/12 localized +2026-02-06T01:54:14.000Z CYCLE: 9/12 localized +2026-02-06T01:54:24.000Z CYCLE: 9/12 localized +2026-02-06T01:54:34.000Z CYCLE: 9/12 localized +2026-02-06T01:54:44.000Z CYCLE: 9/12 localized +2026-02-06T01:54:55.000Z CYCLE: 9/12 localized +2026-02-06T01:55:05.000Z CYCLE: 9/12 localized +2026-02-06T01:55:15.000Z CYCLE: 9/12 localized +2026-02-06T01:55:25.000Z CYCLE: 9/12 localized +2026-02-06T01:55:35.000Z CYCLE: 9/12 localized +2026-02-06T01:55:45.000Z CYCLE: 9/12 localized +2026-02-06T01:55:55.000Z CYCLE: 9/12 localized +2026-02-06T01:56:05.000Z CYCLE: 9/12 localized +2026-02-06T01:56:15.000Z CYCLE: 9/12 localized +2026-02-06T01:56:25.000Z CYCLE: 9/12 localized +2026-02-06T01:56:35.000Z CYCLE: 9/12 localized +2026-02-06T01:56:45.000Z CYCLE: 9/12 localized +2026-02-06T01:56:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:56:55.000Z CYCLE: 8/12 localized +2026-02-06T01:57:05.000Z CYCLE: 9/12 localized +2026-02-06T01:57:16.000Z CYCLE: 9/12 localized +2026-02-06T01:57:26.000Z CYCLE: 9/12 localized +2026-02-06T01:57:36.000Z CYCLE: 9/12 localized +2026-02-06T01:57:46.000Z CYCLE: 9/12 localized +2026-02-06T01:57:56.000Z CYCLE: 9/12 localized +2026-02-06T01:58:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T01:58:06.000Z CYCLE: 8/12 localized +2026-02-06T01:58:16.000Z CYCLE: 9/12 localized +2026-02-06T01:58:26.000Z CYCLE: 9/12 localized +2026-02-06T01:58:36.000Z CYCLE: 9/12 localized +2026-02-06T01:58:46.000Z CYCLE: 9/12 localized +2026-02-06T01:58:56.000Z CYCLE: 9/12 localized +2026-02-06T01:59:06.000Z CYCLE: 9/12 localized +2026-02-06T01:59:16.000Z CYCLE: 9/12 localized +2026-02-06T01:59:26.000Z CYCLE: 9/12 localized +2026-02-06T01:59:37.000Z CYCLE: 9/12 localized +2026-02-06T01:59:47.000Z CYCLE: 9/12 localized +2026-02-06T01:59:57.000Z CYCLE: 9/12 localized +2026-02-06T02:00:07.000Z CYCLE: 9/12 localized +2026-02-06T02:00:17.000Z CYCLE: 9/12 localized +2026-02-06T02:00:27.000Z CYCLE: 9/12 localized +2026-02-06T02:00:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:00:37.000Z CYCLE: 8/12 localized +2026-02-06T02:00:47.000Z CYCLE: 9/12 localized +2026-02-06T02:00:57.000Z CYCLE: 9/12 localized +2026-02-06T02:01:07.000Z CYCLE: 9/12 localized +2026-02-06T02:01:17.000Z CYCLE: 9/12 localized +2026-02-06T02:01:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:01:27.000Z CYCLE: 8/12 localized +2026-02-06T02:01:37.000Z CYCLE: 9/12 localized +2026-02-06T02:01:47.000Z CYCLE: 9/12 localized +2026-02-06T02:01:57.000Z CYCLE: 9/12 localized +2026-02-06T02:02:08.000Z CYCLE: 9/12 localized +2026-02-06T02:02:18.000Z CYCLE: 9/12 localized +2026-02-06T02:02:28.000Z CYCLE: 9/12 localized +2026-02-06T02:02:38.000Z CYCLE: 9/12 localized +2026-02-06T02:02:48.000Z CYCLE: 9/12 localized +2026-02-06T02:02:58.000Z CYCLE: 9/12 localized +2026-02-06T02:03:08.000Z CYCLE: 9/12 localized +2026-02-06T02:03:18.000Z CYCLE: 9/12 localized +2026-02-06T02:03:28.000Z CYCLE: 9/12 localized +2026-02-06T02:03:38.000Z CYCLE: 9/12 localized +2026-02-06T02:03:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:03:48.000Z CYCLE: 8/12 localized +2026-02-06T02:03:58.000Z CYCLE: 9/12 localized +2026-02-06T02:04:08.000Z CYCLE: 9/12 localized +2026-02-06T02:04:18.000Z CYCLE: 9/12 localized +2026-02-06T02:04:28.000Z CYCLE: 9/12 localized +2026-02-06T02:04:39.000Z CYCLE: 9/12 localized +2026-02-06T02:04:49.000Z CYCLE: 9/12 localized +2026-02-06T02:04:59.000Z CYCLE: 9/12 localized +2026-02-06T02:05:09.000Z CYCLE: 9/12 localized +2026-02-06T02:05:19.000Z CYCLE: 9/12 localized +2026-02-06T02:05:29.000Z CYCLE: 9/12 localized +2026-02-06T02:05:39.000Z CYCLE: 9/12 localized +2026-02-06T02:05:49.000Z CYCLE: 9/12 localized +2026-02-06T02:05:59.000Z CYCLE: 9/12 localized +2026-02-06T02:06:09.000Z CYCLE: 9/12 localized +2026-02-06T02:06:19.000Z CYCLE: 9/12 localized +2026-02-06T02:06:29.000Z CYCLE: 9/12 localized +2026-02-06T02:06:39.000Z CYCLE: 9/12 localized +2026-02-06T02:06:49.000Z CYCLE: 9/12 localized +2026-02-06T02:06:59.000Z CYCLE: 9/12 localized +2026-02-06T02:07:09.000Z CYCLE: 9/12 localized +2026-02-06T02:07:20.000Z CYCLE: 9/12 localized +2026-02-06T02:07:30.000Z CYCLE: 9/12 localized +2026-02-06T02:07:40.000Z CYCLE: 9/12 localized +2026-02-06T02:07:50.000Z CYCLE: 9/12 localized +2026-02-06T02:08:00.000Z CYCLE: 9/12 localized +2026-02-06T02:08:10.000Z CYCLE: 9/12 localized +2026-02-06T02:08:20.000Z CYCLE: 9/12 localized +2026-02-06T02:08:30.000Z CYCLE: 9/12 localized +2026-02-06T02:08:40.000Z CYCLE: 9/12 localized +2026-02-06T02:08:50.000Z CYCLE: 9/12 localized +2026-02-06T02:09:00.000Z CYCLE: 9/12 localized +2026-02-06T02:09:10.000Z CYCLE: 9/12 localized +2026-02-06T02:09:20.000Z CYCLE: 9/12 localized +2026-02-06T02:09:30.000Z CYCLE: 9/12 localized +2026-02-06T02:09:41.000Z CYCLE: 9/12 localized +2026-02-06T02:09:51.000Z CYCLE: 9/12 localized +2026-02-06T02:10:01.000Z CYCLE: 9/12 localized +2026-02-06T02:10:11.000Z CYCLE: 9/12 localized +2026-02-06T02:10:21.000Z CYCLE: 9/12 localized +2026-02-06T02:10:31.000Z CYCLE: 9/12 localized +2026-02-06T02:10:41.000Z CYCLE: 9/12 localized +2026-02-06T02:10:51.000Z CYCLE: 9/12 localized +2026-02-06T02:11:01.000Z CYCLE: 9/12 localized +2026-02-06T02:11:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:11:11.000Z CYCLE: 8/12 localized +2026-02-06T02:11:21.000Z CYCLE: 9/12 localized +2026-02-06T02:11:31.000Z CYCLE: 9/12 localized +2026-02-06T02:11:41.000Z CYCLE: 9/12 localized +2026-02-06T02:11:51.000Z CYCLE: 9/12 localized +2026-02-06T02:12:01.000Z CYCLE: 9/12 localized +2026-02-06T02:12:12.000Z CYCLE: 9/12 localized +2026-02-06T02:12:22.000Z CYCLE: 9/12 localized +2026-02-06T02:12:32.000Z CYCLE: 9/12 localized +2026-02-06T02:12:42.000Z CYCLE: 9/12 localized +2026-02-06T02:12:52.000Z CYCLE: 9/12 localized +2026-02-06T02:13:02.000Z CYCLE: 9/12 localized +2026-02-06T02:13:12.000Z CYCLE: 9/12 localized +2026-02-06T02:13:22.000Z CYCLE: 9/12 localized +2026-02-06T02:13:32.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:13:32.000Z CYCLE: 8/12 localized +2026-02-06T02:13:42.000Z CYCLE: 9/12 localized +2026-02-06T02:13:52.000Z CYCLE: 9/12 localized +2026-02-06T02:14:02.000Z CYCLE: 9/12 localized +2026-02-06T02:14:12.000Z CYCLE: 9/12 localized +2026-02-06T02:14:22.000Z CYCLE: 9/12 localized +2026-02-06T02:14:32.000Z CYCLE: 9/12 localized +2026-02-06T02:14:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:14:43.000Z CYCLE: 8/12 localized +2026-02-06T02:14:53.000Z CYCLE: 9/12 localized +2026-02-06T02:15:03.000Z CYCLE: 9/12 localized +2026-02-06T02:15:13.000Z CYCLE: 9/12 localized +2026-02-06T02:15:23.000Z CYCLE: 9/12 localized +2026-02-06T02:15:33.000Z CYCLE: 9/12 localized +2026-02-06T02:15:43.000Z CYCLE: 9/12 localized +2026-02-06T02:15:53.000Z CYCLE: 9/12 localized +2026-02-06T02:16:03.000Z CYCLE: 9/12 localized +2026-02-06T02:16:13.000Z CYCLE: 9/12 localized +2026-02-06T02:16:23.000Z CYCLE: 9/12 localized +2026-02-06T02:16:33.000Z CYCLE: 9/12 localized +2026-02-06T02:16:43.000Z CYCLE: 9/12 localized +2026-02-06T02:16:53.000Z CYCLE: 9/12 localized +2026-02-06T02:17:03.000Z CYCLE: 9/12 localized +2026-02-06T02:17:14.000Z CYCLE: 9/12 localized +2026-02-06T02:17:24.000Z CYCLE: 9/12 localized +2026-02-06T02:17:34.000Z CYCLE: 9/12 localized +2026-02-06T02:17:44.000Z CYCLE: 9/12 localized +2026-02-06T02:17:54.000Z CYCLE: 9/12 localized +2026-02-06T02:18:04.000Z CYCLE: 9/12 localized +2026-02-06T02:18:14.000Z CYCLE: 9/12 localized +2026-02-06T02:18:24.000Z CYCLE: 9/12 localized +2026-02-06T02:18:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:18:34.000Z CYCLE: 8/12 localized +2026-02-06T02:18:44.000Z CYCLE: 9/12 localized +2026-02-06T02:18:54.000Z CYCLE: 9/12 localized +2026-02-06T02:19:04.000Z CYCLE: 9/12 localized +2026-02-06T02:19:14.000Z CYCLE: 9/12 localized +2026-02-06T02:19:25.000Z CYCLE: 9/12 localized +2026-02-06T02:19:35.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:19:35.000Z CYCLE: 8/12 localized +2026-02-06T02:19:45.000Z CYCLE: 9/12 localized +2026-02-06T02:19:55.000Z CYCLE: 9/12 localized +2026-02-06T02:20:05.000Z CYCLE: 9/12 localized +2026-02-06T02:20:15.000Z CYCLE: 9/12 localized +2026-02-06T02:20:25.000Z CYCLE: 9/12 localized +2026-02-06T02:20:35.000Z CYCLE: 9/12 localized +2026-02-06T02:20:45.000Z CYCLE: 9/12 localized +2026-02-06T02:20:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:20:55.000Z CYCLE: 8/12 localized +2026-02-06T02:21:05.000Z CYCLE: 9/12 localized +2026-02-06T02:21:15.000Z CYCLE: 9/12 localized +2026-02-06T02:21:25.000Z CYCLE: 9/12 localized +2026-02-06T02:21:35.000Z CYCLE: 9/12 localized +2026-02-06T02:21:45.000Z CYCLE: 9/12 localized +2026-02-06T02:21:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:21:56.000Z CYCLE: 8/12 localized +2026-02-06T02:22:06.000Z CYCLE: 9/12 localized +2026-02-06T02:22:16.000Z CYCLE: 9/12 localized +2026-02-06T02:22:26.000Z CYCLE: 9/12 localized +2026-02-06T02:22:36.000Z CYCLE: 9/12 localized +2026-02-06T02:22:46.000Z CYCLE: 9/12 localized +2026-02-06T02:22:56.000Z CYCLE: 9/12 localized +2026-02-06T02:23:06.000Z CYCLE: 9/12 localized +2026-02-06T02:23:16.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:23:16.000Z CYCLE: 8/12 localized +2026-02-06T02:23:26.000Z CYCLE: 9/12 localized +2026-02-06T02:23:36.000Z CYCLE: 9/12 localized +2026-02-06T02:23:46.000Z CYCLE: 9/12 localized +2026-02-06T02:23:56.000Z CYCLE: 9/12 localized +2026-02-06T02:24:06.000Z CYCLE: 9/12 localized +2026-02-06T02:24:16.000Z CYCLE: 9/12 localized +2026-02-06T02:24:27.000Z CYCLE: 9/12 localized +2026-02-06T02:24:37.000Z CYCLE: 9/12 localized +2026-02-06T02:24:47.000Z CYCLE: 9/12 localized +2026-02-06T02:24:57.000Z CYCLE: 9/12 localized +2026-02-06T02:25:07.000Z CYCLE: 9/12 localized +2026-02-06T02:25:17.000Z CYCLE: 9/12 localized +2026-02-06T02:25:27.000Z CYCLE: 9/12 localized +2026-02-06T02:25:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:25:37.000Z CYCLE: 8/12 localized +2026-02-06T02:25:47.000Z CYCLE: 9/12 localized +2026-02-06T02:25:57.000Z CYCLE: 9/12 localized +2026-02-06T02:26:07.000Z CYCLE: 9/12 localized +2026-02-06T02:26:17.000Z CYCLE: 9/12 localized +2026-02-06T02:26:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:26:27.000Z CYCLE: 8/12 localized +2026-02-06T02:26:37.000Z CYCLE: 9/12 localized +2026-02-06T02:26:47.000Z CYCLE: 9/12 localized +2026-02-06T02:26:58.000Z CYCLE: 9/12 localized +2026-02-06T02:27:08.000Z CYCLE: 9/12 localized +2026-02-06T02:27:18.000Z CYCLE: 9/12 localized +2026-02-06T02:27:28.000Z CYCLE: 9/12 localized +2026-02-06T02:27:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:27:38.000Z CYCLE: 8/12 localized +2026-02-06T02:27:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:27:48.000Z CYCLE: 8/12 localized +2026-02-06T02:27:58.000Z CYCLE: 9/12 localized +2026-02-06T02:28:08.000Z CYCLE: 9/12 localized +2026-02-06T02:28:18.000Z CYCLE: 9/12 localized +2026-02-06T02:28:28.000Z CYCLE: 9/12 localized +2026-02-06T02:28:38.000Z CYCLE: 9/12 localized +2026-02-06T02:28:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:28:48.000Z CYCLE: 8/12 localized +2026-02-06T02:28:58.000Z CYCLE: 9/12 localized +2026-02-06T02:29:08.000Z CYCLE: 9/12 localized +2026-02-06T02:29:18.000Z CYCLE: 9/12 localized +2026-02-06T02:29:29.000Z CYCLE: 9/12 localized +2026-02-06T02:29:39.000Z CYCLE: 9/12 localized +2026-02-06T02:29:49.000Z CYCLE: 9/12 localized +2026-02-06T02:29:59.000Z CYCLE: 9/12 localized +2026-02-06T02:30:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:30:09.000Z CYCLE: 8/12 localized +2026-02-06T02:30:19.000Z CYCLE: 9/12 localized +2026-02-06T02:30:29.000Z CYCLE: 9/12 localized +2026-02-06T02:30:39.000Z CYCLE: 9/12 localized +2026-02-06T02:30:49.000Z CYCLE: 9/12 localized +2026-02-06T02:30:59.000Z CYCLE: 9/12 localized +2026-02-06T02:31:09.000Z CYCLE: 9/12 localized +2026-02-06T02:31:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:31:19.000Z CYCLE: 8/12 localized +2026-02-06T02:31:29.000Z CYCLE: 9/12 localized +2026-02-06T02:31:39.000Z CYCLE: 9/12 localized +2026-02-06T02:31:50.000Z CYCLE: 9/12 localized +2026-02-06T02:32:00.000Z CYCLE: 9/12 localized +2026-02-06T02:32:10.000Z CYCLE: 9/12 localized +2026-02-06T02:32:20.000Z CYCLE: 9/12 localized +2026-02-06T02:32:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:32:30.000Z CYCLE: 8/12 localized +2026-02-06T02:32:40.000Z CYCLE: 9/12 localized +2026-02-06T02:32:50.000Z CYCLE: 9/12 localized +2026-02-06T02:33:00.000Z CYCLE: 9/12 localized +2026-02-06T02:33:10.000Z CYCLE: 9/12 localized +2026-02-06T02:33:20.000Z CYCLE: 9/12 localized +2026-02-06T02:33:30.000Z CYCLE: 9/12 localized +2026-02-06T02:33:40.000Z CYCLE: 9/12 localized +2026-02-06T02:33:50.000Z CYCLE: 9/12 localized +2026-02-06T02:34:00.000Z CYCLE: 9/12 localized +2026-02-06T02:34:10.000Z CYCLE: 9/12 localized +2026-02-06T02:34:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:34:21.000Z CYCLE: 8/12 localized +2026-02-06T02:34:31.000Z CYCLE: 9/12 localized +2026-02-06T02:34:41.000Z CYCLE: 9/12 localized +2026-02-06T02:34:51.000Z CYCLE: 9/12 localized +2026-02-06T02:35:01.000Z CYCLE: 9/12 localized +2026-02-06T02:35:11.000Z CYCLE: 9/12 localized +2026-02-06T02:35:21.000Z CYCLE: 9/12 localized +2026-02-06T02:35:31.000Z CYCLE: 9/12 localized +2026-02-06T02:35:41.000Z CYCLE: 9/12 localized +2026-02-06T02:35:51.000Z CYCLE: 9/12 localized +2026-02-06T02:36:01.000Z CYCLE: 9/12 localized +2026-02-06T02:36:11.000Z CYCLE: 9/12 localized +2026-02-06T02:36:21.000Z CYCLE: 9/12 localized +2026-02-06T02:36:31.000Z CYCLE: 9/12 localized +2026-02-06T02:36:42.000Z CYCLE: 9/12 localized +2026-02-06T02:36:52.000Z CYCLE: 9/12 localized +2026-02-06T02:37:02.000Z CYCLE: 9/12 localized +2026-02-06T02:37:12.000Z CYCLE: 9/12 localized +2026-02-06T02:37:22.000Z CYCLE: 9/12 localized +2026-02-06T02:37:32.000Z CYCLE: 9/12 localized +2026-02-06T02:37:42.000Z CYCLE: 9/12 localized +2026-02-06T02:37:52.000Z CYCLE: 9/12 localized +2026-02-06T02:38:02.000Z CYCLE: 9/12 localized +2026-02-06T02:38:12.000Z CYCLE: 9/12 localized +2026-02-06T02:38:22.000Z CYCLE: 9/12 localized +2026-02-06T02:38:32.000Z CYCLE: 9/12 localized +2026-02-06T02:38:42.000Z CYCLE: 9/12 localized +2026-02-06T02:38:52.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:38:52.000Z CYCLE: 8/12 localized +2026-02-06T02:39:02.000Z CYCLE: 9/12 localized +2026-02-06T02:39:12.000Z CYCLE: 9/12 localized +2026-02-06T02:39:23.000Z CYCLE: 9/12 localized +2026-02-06T02:39:33.000Z CYCLE: 9/12 localized +2026-02-06T02:39:43.000Z CYCLE: 9/12 localized +2026-02-06T02:39:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:39:53.000Z CYCLE: 8/12 localized +2026-02-06T02:40:03.000Z CYCLE: 9/12 localized +2026-02-06T02:40:13.000Z CYCLE: 9/12 localized +2026-02-06T02:40:23.000Z CYCLE: 9/12 localized +2026-02-06T02:40:33.000Z CYCLE: 9/12 localized +2026-02-06T02:40:43.000Z CYCLE: 9/12 localized +2026-02-06T02:40:53.000Z CYCLE: 9/12 localized +2026-02-06T02:41:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:41:03.000Z CYCLE: 8/12 localized +2026-02-06T02:41:13.000Z CYCLE: 9/12 localized +2026-02-06T02:41:23.000Z CYCLE: 9/12 localized +2026-02-06T02:41:33.000Z CYCLE: 9/12 localized +2026-02-06T02:41:43.000Z CYCLE: 9/12 localized +2026-02-06T02:41:54.000Z CYCLE: 9/12 localized +2026-02-06T02:42:04.000Z CYCLE: 9/12 localized +2026-02-06T02:42:14.000Z CYCLE: 9/12 localized +2026-02-06T02:42:24.000Z CYCLE: 9/12 localized +2026-02-06T02:42:34.000Z CYCLE: 9/12 localized +2026-02-06T02:42:44.000Z CYCLE: 9/12 localized +2026-02-06T02:42:54.000Z CYCLE: 9/12 localized +2026-02-06T02:43:04.000Z CYCLE: 9/12 localized +2026-02-06T02:43:14.000Z CYCLE: 9/12 localized +2026-02-06T02:43:24.000Z CYCLE: 9/12 localized +2026-02-06T02:43:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:43:34.000Z CYCLE: 8/12 localized +2026-02-06T02:43:44.000Z CYCLE: 9/12 localized +2026-02-06T02:43:54.000Z CYCLE: 9/12 localized +2026-02-06T02:44:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:44:04.000Z CYCLE: 8/12 localized +2026-02-06T02:44:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:44:14.000Z CYCLE: 8/12 localized +2026-02-06T02:44:25.000Z CYCLE: 9/12 localized +2026-02-06T02:44:35.000Z CYCLE: 9/12 localized +2026-02-06T02:44:45.000Z CYCLE: 9/12 localized +2026-02-06T02:44:55.000Z CYCLE: 9/12 localized +2026-02-06T02:45:05.000Z CYCLE: 9/12 localized +2026-02-06T02:45:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:45:15.000Z CYCLE: 8/12 localized +2026-02-06T02:45:25.000Z CYCLE: 9/12 localized +2026-02-06T02:45:35.000Z CYCLE: 9/12 localized +2026-02-06T02:45:45.000Z CYCLE: 9/12 localized +2026-02-06T02:45:55.000Z CYCLE: 9/12 localized +2026-02-06T02:46:05.000Z CYCLE: 9/12 localized +2026-02-06T02:46:15.000Z CYCLE: 9/12 localized +2026-02-06T02:46:25.000Z CYCLE: 9/12 localized +2026-02-06T02:46:35.000Z CYCLE: 9/12 localized +2026-02-06T02:46:46.000Z CYCLE: 9/12 localized +2026-02-06T02:46:56.000Z CYCLE: 9/12 localized +2026-02-06T02:47:06.000Z CYCLE: 9/12 localized +2026-02-06T02:47:16.000Z CYCLE: 9/12 localized +2026-02-06T02:47:26.000Z CYCLE: 9/12 localized +2026-02-06T02:47:36.000Z CYCLE: 9/12 localized +2026-02-06T02:47:46.000Z CYCLE: 9/12 localized +2026-02-06T02:47:56.000Z CYCLE: 9/12 localized +2026-02-06T02:48:06.000Z CYCLE: 9/12 localized +2026-02-06T02:48:16.000Z CYCLE: 9/12 localized +2026-02-06T02:48:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:48:26.000Z CYCLE: 8/12 localized +2026-02-06T02:48:36.000Z CYCLE: 9/12 localized +2026-02-06T02:48:46.000Z CYCLE: 9/12 localized +2026-02-06T02:48:56.000Z CYCLE: 9/12 localized +2026-02-06T02:49:06.000Z CYCLE: 9/12 localized +2026-02-06T02:49:17.000Z CYCLE: 9/12 localized +2026-02-06T02:49:27.000Z CYCLE: 9/12 localized +2026-02-06T02:49:37.000Z CYCLE: 9/12 localized +2026-02-06T02:49:47.000Z CYCLE: 9/12 localized +2026-02-06T02:49:57.000Z CYCLE: 9/12 localized +2026-02-06T02:50:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:50:07.000Z CYCLE: 8/12 localized +2026-02-06T02:50:17.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:50:17.000Z CYCLE: 8/12 localized +2026-02-06T02:50:27.000Z CYCLE: 9/12 localized +2026-02-06T02:50:37.000Z CYCLE: 9/12 localized +2026-02-06T02:50:47.000Z CYCLE: 9/12 localized +2026-02-06T02:50:57.000Z CYCLE: 9/12 localized +2026-02-06T02:51:07.000Z CYCLE: 9/12 localized +2026-02-06T02:51:17.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:51:17.000Z CYCLE: 8/12 localized +2026-02-06T02:51:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:51:27.000Z CYCLE: 8/12 localized +2026-02-06T02:51:38.000Z CYCLE: 9/12 localized +2026-02-06T02:51:48.000Z CYCLE: 9/12 localized +2026-02-06T02:51:58.000Z CYCLE: 9/12 localized +2026-02-06T02:52:08.000Z CYCLE: 9/12 localized +2026-02-06T02:52:18.000Z CYCLE: 9/12 localized +2026-02-06T02:52:28.000Z CYCLE: 9/12 localized +2026-02-06T02:52:38.000Z CYCLE: 9/12 localized +2026-02-06T02:52:48.000Z CYCLE: 9/12 localized +2026-02-06T02:52:58.000Z CYCLE: 9/12 localized +2026-02-06T02:53:08.000Z CYCLE: 9/12 localized +2026-02-06T02:53:18.000Z CYCLE: 9/12 localized +2026-02-06T02:53:28.000Z CYCLE: 9/12 localized +2026-02-06T02:53:38.000Z CYCLE: 9/12 localized +2026-02-06T02:53:48.000Z CYCLE: 9/12 localized +2026-02-06T02:53:59.000Z CYCLE: 9/12 localized +2026-02-06T02:54:09.000Z CYCLE: 9/12 localized +2026-02-06T02:54:19.000Z CYCLE: 9/12 localized +2026-02-06T02:54:29.000Z CYCLE: 9/12 localized +2026-02-06T02:54:39.000Z CYCLE: 9/12 localized +2026-02-06T02:54:49.000Z CYCLE: 9/12 localized +2026-02-06T02:54:59.000Z CYCLE: 9/12 localized +2026-02-06T02:55:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:55:09.000Z CYCLE: 8/12 localized +2026-02-06T02:55:19.000Z CYCLE: 9/12 localized +2026-02-06T02:55:29.000Z CYCLE: 9/12 localized +2026-02-06T02:55:39.000Z CYCLE: 9/12 localized +2026-02-06T02:55:49.000Z CYCLE: 9/12 localized +2026-02-06T02:55:59.000Z CYCLE: 9/12 localized +2026-02-06T02:56:10.000Z CYCLE: 9/12 localized +2026-02-06T02:56:20.000Z CYCLE: 9/12 localized +2026-02-06T02:56:30.000Z CYCLE: 9/12 localized +2026-02-06T02:56:40.000Z CYCLE: 9/12 localized +2026-02-06T02:56:50.000Z CYCLE: 9/12 localized +2026-02-06T02:57:00.000Z CYCLE: 9/12 localized +2026-02-06T02:57:10.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:57:10.000Z CYCLE: 8/12 localized +2026-02-06T02:57:20.000Z CYCLE: 9/12 localized +2026-02-06T02:57:30.000Z CYCLE: 9/12 localized +2026-02-06T02:57:40.000Z CYCLE: 9/12 localized +2026-02-06T02:57:50.000Z CYCLE: 9/12 localized +2026-02-06T02:58:00.000Z CYCLE: 9/12 localized +2026-02-06T02:58:10.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:58:10.000Z CYCLE: 8/12 localized +2026-02-06T02:58:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:58:20.000Z CYCLE: 8/12 localized +2026-02-06T02:58:30.000Z CYCLE: 9/12 localized +2026-02-06T02:58:41.000Z CYCLE: 9/12 localized +2026-02-06T02:58:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:58:51.000Z CYCLE: 8/12 localized +2026-02-06T02:59:01.000Z CYCLE: 9/12 localized +2026-02-06T02:59:11.000Z CYCLE: 9/12 localized +2026-02-06T02:59:21.000Z CYCLE: 9/12 localized +2026-02-06T02:59:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T02:59:31.000Z CYCLE: 8/12 localized +2026-02-06T02:59:41.000Z CYCLE: 9/12 localized +2026-02-06T02:59:51.000Z CYCLE: 9/12 localized +2026-02-06T03:00:01.000Z CYCLE: 9/12 localized +2026-02-06T03:00:11.000Z CYCLE: 9/12 localized +2026-02-06T03:00:21.000Z CYCLE: 9/12 localized +2026-02-06T03:00:31.000Z CYCLE: 9/12 localized +2026-02-06T03:00:41.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:00:41.000Z CYCLE: 8/12 localized +2026-02-06T03:00:51.000Z CYCLE: 9/12 localized +2026-02-06T03:01:01.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:01:02.000Z CYCLE: 8/12 localized +2026-02-06T03:01:12.000Z CYCLE: 9/12 localized +2026-02-06T03:01:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:01:22.000Z CYCLE: 8/12 localized +2026-02-06T03:01:32.000Z CYCLE: 9/12 localized +2026-02-06T03:01:42.000Z CYCLE: 9/12 localized +2026-02-06T03:01:52.000Z CYCLE: 9/12 localized +2026-02-06T03:02:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:02:02.000Z CYCLE: 8/12 localized +2026-02-06T03:02:12.000Z CYCLE: 9/12 localized +2026-02-06T03:02:22.000Z CYCLE: 9/12 localized +2026-02-06T03:02:32.000Z CYCLE: 9/12 localized +2026-02-06T03:02:42.000Z CYCLE: 9/12 localized +2026-02-06T03:02:52.000Z CYCLE: 9/12 localized +2026-02-06T03:03:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:03:02.000Z CYCLE: 8/12 localized +2026-02-06T03:03:12.000Z CYCLE: 9/12 localized +2026-02-06T03:03:22.000Z CYCLE: 9/12 localized +2026-02-06T03:03:33.000Z CYCLE: 9/12 localized +2026-02-06T03:03:43.000Z CYCLE: 9/12 localized +2026-02-06T03:03:53.000Z CYCLE: 9/12 localized +2026-02-06T03:04:03.000Z CYCLE: 9/12 localized +2026-02-06T03:04:13.000Z CYCLE: 9/12 localized +2026-02-06T03:04:23.000Z CYCLE: 9/12 localized +2026-02-06T03:04:33.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:04:33.000Z CYCLE: 8/12 localized +2026-02-06T03:04:43.000Z CYCLE: 9/12 localized +2026-02-06T03:04:53.000Z CYCLE: 9/12 localized +2026-02-06T03:05:03.000Z CYCLE: 9/12 localized +2026-02-06T03:05:13.000Z CYCLE: 9/12 localized +2026-02-06T03:05:23.000Z CYCLE: 9/12 localized +2026-02-06T03:05:33.000Z CYCLE: 9/12 localized +2026-02-06T03:05:43.000Z CYCLE: 9/12 localized +2026-02-06T03:05:53.000Z CYCLE: 9/12 localized +2026-02-06T03:06:04.000Z CYCLE: 9/12 localized +2026-02-06T03:06:14.000Z CYCLE: 9/12 localized +2026-02-06T03:06:24.000Z CYCLE: 9/12 localized +2026-02-06T03:06:34.000Z CYCLE: 9/12 localized +2026-02-06T03:06:44.000Z CYCLE: 9/12 localized +2026-02-06T03:06:54.000Z CYCLE: 9/12 localized +2026-02-06T03:07:04.000Z CYCLE: 9/12 localized +2026-02-06T03:07:14.000Z CYCLE: 9/12 localized +2026-02-06T03:07:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:07:24.000Z CYCLE: 8/12 localized +2026-02-06T03:07:34.000Z CYCLE: 9/12 localized +2026-02-06T03:07:44.000Z CYCLE: 9/12 localized +2026-02-06T03:07:54.000Z CYCLE: 9/12 localized +2026-02-06T03:08:04.000Z CYCLE: 9/12 localized +2026-02-06T03:08:14.000Z CYCLE: 9/12 localized +2026-02-06T03:08:24.000Z CYCLE: 9/12 localized +2026-02-06T03:08:35.000Z CYCLE: 9/12 localized +2026-02-06T03:08:45.000Z CYCLE: 9/12 localized +2026-02-06T03:08:55.000Z CYCLE: 9/12 localized +2026-02-06T03:09:05.000Z CYCLE: 9/12 localized +2026-02-06T03:09:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:09:15.000Z CYCLE: 8/12 localized +2026-02-06T03:09:25.000Z CYCLE: 9/12 localized +2026-02-06T03:09:35.000Z CYCLE: 9/12 localized +2026-02-06T03:09:45.000Z CYCLE: 9/12 localized +2026-02-06T03:09:55.000Z CYCLE: 9/12 localized +2026-02-06T03:10:05.000Z CYCLE: 9/12 localized +2026-02-06T03:10:15.000Z CYCLE: 9/12 localized +2026-02-06T03:10:25.000Z CYCLE: 9/12 localized +2026-02-06T03:10:35.000Z CYCLE: 9/12 localized +2026-02-06T03:10:45.000Z CYCLE: 9/12 localized +2026-02-06T03:10:56.000Z CYCLE: 9/12 localized +2026-02-06T03:11:06.000Z CYCLE: 9/12 localized +2026-02-06T03:11:16.000Z CYCLE: 9/12 localized +2026-02-06T03:11:26.000Z CYCLE: 9/12 localized +2026-02-06T03:11:36.000Z CYCLE: 9/12 localized +2026-02-06T03:11:46.000Z CYCLE: 9/12 localized +2026-02-06T03:11:56.000Z CYCLE: 9/12 localized +2026-02-06T03:12:06.000Z CYCLE: 9/12 localized +2026-02-06T03:12:16.000Z CYCLE: 9/12 localized +2026-02-06T03:12:26.000Z CYCLE: 9/12 localized +2026-02-06T03:12:36.000Z CYCLE: 9/12 localized +2026-02-06T03:12:46.000Z CYCLE: 9/12 localized +2026-02-06T03:12:56.000Z CYCLE: 9/12 localized +2026-02-06T03:13:06.000Z CYCLE: 9/12 localized +2026-02-06T03:13:16.000Z CYCLE: 9/12 localized +2026-02-06T03:13:27.000Z CYCLE: 9/12 localized +2026-02-06T03:13:37.000Z CYCLE: 9/12 localized +2026-02-06T03:13:47.000Z CYCLE: 9/12 localized +2026-02-06T03:13:57.000Z CYCLE: 9/12 localized +2026-02-06T03:14:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:14:07.000Z CYCLE: 8/12 localized +2026-02-06T03:14:17.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:14:17.000Z CYCLE: 8/12 localized +2026-02-06T03:14:27.000Z CYCLE: 9/12 localized +2026-02-06T03:14:37.000Z CYCLE: 9/12 localized +2026-02-06T03:14:47.000Z CYCLE: 9/12 localized +2026-02-06T03:14:57.000Z CYCLE: 9/12 localized +2026-02-06T03:15:07.000Z CYCLE: 9/12 localized +2026-02-06T03:15:17.000Z CYCLE: 9/12 localized +2026-02-06T03:15:27.000Z CYCLE: 9/12 localized +2026-02-06T03:15:37.000Z CYCLE: 9/12 localized +2026-02-06T03:15:47.000Z CYCLE: 9/12 localized +2026-02-06T03:15:58.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:15:58.000Z CYCLE: 8/12 localized +2026-02-06T03:16:08.000Z CYCLE: 9/12 localized +2026-02-06T03:16:18.000Z CYCLE: 9/12 localized +2026-02-06T03:16:28.000Z CYCLE: 9/12 localized +2026-02-06T03:16:38.000Z CYCLE: 9/12 localized +2026-02-06T03:16:48.000Z CYCLE: 9/12 localized +2026-02-06T03:16:58.000Z CYCLE: 9/12 localized +2026-02-06T03:17:08.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:17:08.000Z CYCLE: 8/12 localized +2026-02-06T03:17:18.000Z CYCLE: 9/12 localized +2026-02-06T03:17:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:17:28.000Z CYCLE: 8/12 localized +2026-02-06T03:17:38.000Z CYCLE: 9/12 localized +2026-02-06T03:17:48.000Z CYCLE: 9/12 localized +2026-02-06T03:17:58.000Z CYCLE: 9/12 localized +2026-02-06T03:18:08.000Z CYCLE: 9/12 localized +2026-02-06T03:18:18.000Z CYCLE: 9/12 localized +2026-02-06T03:18:29.000Z CYCLE: 9/12 localized +2026-02-06T03:18:39.000Z CYCLE: 9/12 localized +2026-02-06T03:18:49.000Z CYCLE: 9/12 localized +2026-02-06T03:18:59.000Z CYCLE: 9/12 localized +2026-02-06T03:19:09.000Z CYCLE: 9/12 localized +2026-02-06T03:19:19.000Z CYCLE: 9/12 localized +2026-02-06T03:19:29.000Z CYCLE: 9/12 localized +2026-02-06T03:19:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:19:39.000Z CYCLE: 8/12 localized +2026-02-06T03:19:49.000Z CYCLE: 9/12 localized +2026-02-06T03:19:59.000Z CYCLE: 9/12 localized +2026-02-06T03:20:09.000Z CYCLE: 9/12 localized +2026-02-06T03:20:19.000Z CYCLE: 9/12 localized +2026-02-06T03:20:29.000Z CYCLE: 9/12 localized +2026-02-06T03:20:39.000Z CYCLE: 9/12 localized +2026-02-06T03:20:49.000Z CYCLE: 9/12 localized +2026-02-06T03:20:59.000Z CYCLE: 9/12 localized +2026-02-06T03:21:10.000Z CYCLE: 9/12 localized +2026-02-06T03:21:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:21:20.000Z CYCLE: 8/12 localized +2026-02-06T03:21:30.000Z CYCLE: 9/12 localized +2026-02-06T03:21:40.000Z CYCLE: 9/12 localized +2026-02-06T03:21:50.000Z CYCLE: 9/12 localized +2026-02-06T03:22:00.000Z CYCLE: 9/12 localized +2026-02-06T03:22:10.000Z CYCLE: 9/12 localized +2026-02-06T03:22:20.000Z CYCLE: 9/12 localized +2026-02-06T03:22:30.000Z CYCLE: 9/12 localized +2026-02-06T03:22:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:22:40.000Z CYCLE: 8/12 localized +2026-02-06T03:22:50.000Z CYCLE: 9/12 localized +2026-02-06T03:23:00.000Z CYCLE: 9/12 localized +2026-02-06T03:23:10.000Z CYCLE: 9/12 localized +2026-02-06T03:23:20.000Z CYCLE: 9/12 localized +2026-02-06T03:23:31.000Z CYCLE: 9/12 localized +2026-02-06T03:23:41.000Z CYCLE: 9/12 localized +2026-02-06T03:23:51.000Z CYCLE: 9/12 localized +2026-02-06T03:24:01.000Z CYCLE: 9/12 localized +2026-02-06T03:24:11.000Z CYCLE: 9/12 localized +2026-02-06T03:24:21.000Z CYCLE: 9/12 localized +2026-02-06T03:24:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:24:31.000Z CYCLE: 8/12 localized +2026-02-06T03:24:41.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:24:41.000Z CYCLE: 8/12 localized +2026-02-06T03:24:51.000Z CYCLE: 9/12 localized +2026-02-06T03:25:01.000Z CYCLE: 9/12 localized +2026-02-06T03:25:11.000Z CYCLE: 9/12 localized +2026-02-06T03:25:21.000Z CYCLE: 9/12 localized +2026-02-06T03:25:31.000Z CYCLE: 9/12 localized +2026-02-06T03:25:41.000Z CYCLE: 9/12 localized +2026-02-06T03:25:52.000Z CYCLE: 9/12 localized +2026-02-06T03:26:02.000Z CYCLE: 9/12 localized +2026-02-06T03:26:12.000Z CYCLE: 9/12 localized +2026-02-06T03:26:22.000Z CYCLE: 9/12 localized +2026-02-06T03:26:32.000Z CYCLE: 9/12 localized +2026-02-06T03:26:42.000Z CYCLE: 9/12 localized +2026-02-06T03:26:52.000Z CYCLE: 9/12 localized +2026-02-06T03:27:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:27:02.000Z CYCLE: 8/12 localized +2026-02-06T03:27:12.000Z CYCLE: 9/12 localized +2026-02-06T03:27:22.000Z CYCLE: 9/12 localized +2026-02-06T03:27:32.000Z CYCLE: 9/12 localized +2026-02-06T03:27:42.000Z CYCLE: 9/12 localized +2026-02-06T03:27:52.000Z CYCLE: 9/12 localized +2026-02-06T03:28:02.000Z CYCLE: 9/12 localized +2026-02-06T03:28:13.000Z CYCLE: 9/12 localized +2026-02-06T03:28:23.000Z CYCLE: 9/12 localized +2026-02-06T03:28:33.000Z CYCLE: 9/12 localized +2026-02-06T03:28:43.000Z CYCLE: 9/12 localized +2026-02-06T03:28:53.000Z CYCLE: 9/12 localized +2026-02-06T03:29:03.000Z CYCLE: 9/12 localized +2026-02-06T03:29:13.000Z CYCLE: 9/12 localized +2026-02-06T03:29:23.000Z CYCLE: 9/12 localized +2026-02-06T03:29:33.000Z CYCLE: 9/12 localized +2026-02-06T03:29:43.000Z CYCLE: 9/12 localized +2026-02-06T03:29:53.000Z CYCLE: 9/12 localized +2026-02-06T03:30:03.000Z CYCLE: 9/12 localized +2026-02-06T03:30:13.000Z CYCLE: 9/12 localized +2026-02-06T03:30:23.000Z CYCLE: 9/12 localized +2026-02-06T03:30:33.000Z CYCLE: 9/12 localized +2026-02-06T03:30:44.000Z CYCLE: 9/12 localized +2026-02-06T03:30:54.000Z CYCLE: 9/12 localized +2026-02-06T03:31:04.000Z CYCLE: 9/12 localized +2026-02-06T03:31:14.000Z CYCLE: 9/12 localized +2026-02-06T03:31:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:31:24.000Z CYCLE: 8/12 localized +2026-02-06T03:31:34.000Z CYCLE: 9/12 localized +2026-02-06T03:31:44.000Z CYCLE: 9/12 localized +2026-02-06T03:31:54.000Z CYCLE: 9/12 localized +2026-02-06T03:32:04.000Z CYCLE: 9/12 localized +2026-02-06T03:32:14.000Z CYCLE: 9/12 localized +2026-02-06T03:32:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:32:24.000Z CYCLE: 8/12 localized +2026-02-06T03:32:34.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:32:34.000Z CYCLE: 8/12 localized +2026-02-06T03:32:44.000Z CYCLE: 9/12 localized +2026-02-06T03:32:54.000Z CYCLE: 9/12 localized +2026-02-06T03:33:04.000Z CYCLE: 9/12 localized +2026-02-06T03:33:15.000Z CYCLE: 9/12 localized +2026-02-06T03:33:25.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:33:25.000Z CYCLE: 8/12 localized +2026-02-06T03:33:35.000Z CYCLE: 9/12 localized +2026-02-06T03:33:45.000Z CYCLE: 9/12 localized +2026-02-06T03:33:55.000Z CYCLE: 9/12 localized +2026-02-06T03:34:05.000Z CYCLE: 9/12 localized +2026-02-06T03:34:15.000Z CYCLE: 9/12 localized +2026-02-06T03:34:25.000Z CYCLE: 9/12 localized +2026-02-06T03:34:35.000Z CYCLE: 9/12 localized +2026-02-06T03:34:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:34:45.000Z CYCLE: 8/12 localized +2026-02-06T03:34:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:34:55.000Z CYCLE: 8/12 localized +2026-02-06T03:35:05.000Z CYCLE: 9/12 localized +2026-02-06T03:35:15.000Z CYCLE: 9/12 localized +2026-02-06T03:35:25.000Z CYCLE: 9/12 localized +2026-02-06T03:35:36.000Z CYCLE: 9/12 localized +2026-02-06T03:35:46.000Z CYCLE: 9/12 localized +2026-02-06T03:35:56.000Z CYCLE: 9/12 localized +2026-02-06T03:36:06.000Z CYCLE: 9/12 localized +2026-02-06T03:36:16.000Z CYCLE: 9/12 localized +2026-02-06T03:36:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:36:26.000Z CYCLE: 8/12 localized +2026-02-06T03:36:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:36:36.000Z CYCLE: 8/12 localized +2026-02-06T03:36:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:36:46.000Z CYCLE: 8/12 localized +2026-02-06T03:36:56.000Z CYCLE: 9/12 localized +2026-02-06T03:37:06.000Z CYCLE: 9/12 localized +2026-02-06T03:37:16.000Z CYCLE: 9/12 localized +2026-02-06T03:37:26.000Z CYCLE: 9/12 localized +2026-02-06T03:37:36.000Z CYCLE: 9/12 localized +2026-02-06T03:37:46.000Z CYCLE: 9/12 localized +2026-02-06T03:37:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:37:56.000Z CYCLE: 8/12 localized +2026-02-06T03:38:07.000Z CYCLE: 9/12 localized +2026-02-06T03:38:17.000Z CYCLE: 9/12 localized +2026-02-06T03:38:27.000Z CYCLE: 9/12 localized +2026-02-06T03:38:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:38:37.000Z CYCLE: 8/12 localized +2026-02-06T03:38:47.000Z CYCLE: 9/12 localized +2026-02-06T03:38:57.000Z CYCLE: 9/12 localized +2026-02-06T03:39:07.000Z CYCLE: 9/12 localized +2026-02-06T03:39:17.000Z CYCLE: 9/12 localized +2026-02-06T03:39:27.000Z CYCLE: 9/12 localized +2026-02-06T03:39:37.000Z CYCLE: 9/12 localized +2026-02-06T03:39:47.000Z CYCLE: 9/12 localized +2026-02-06T03:39:57.000Z CYCLE: 9/12 localized +2026-02-06T03:40:07.000Z CYCLE: 9/12 localized +2026-02-06T03:40:17.000Z CYCLE: 9/12 localized +2026-02-06T03:40:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:40:27.000Z CYCLE: 8/12 localized +2026-02-06T03:40:37.000Z CYCLE: 9/12 localized +2026-02-06T03:40:48.000Z CYCLE: 9/12 localized +2026-02-06T03:40:58.000Z CYCLE: 9/12 localized +2026-02-06T03:41:08.000Z CYCLE: 9/12 localized +2026-02-06T03:41:18.000Z CYCLE: 9/12 localized +2026-02-06T03:41:28.000Z CYCLE: 9/12 localized +2026-02-06T03:41:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:41:38.000Z CYCLE: 8/12 localized +2026-02-06T03:41:48.000Z CYCLE: 9/12 localized +2026-02-06T03:41:58.000Z CYCLE: 9/12 localized +2026-02-06T03:42:08.000Z CYCLE: 9/12 localized +2026-02-06T03:42:18.000Z CYCLE: 9/12 localized +2026-02-06T03:42:28.000Z CYCLE: 9/12 localized +2026-02-06T03:42:38.000Z CYCLE: 9/12 localized +2026-02-06T03:42:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:42:48.000Z CYCLE: 8/12 localized +2026-02-06T03:42:58.000Z CYCLE: 9/12 localized +2026-02-06T03:43:09.000Z CYCLE: 9/12 localized +2026-02-06T03:43:19.000Z CYCLE: 9/12 localized +2026-02-06T03:43:29.000Z CYCLE: 9/12 localized +2026-02-06T03:43:39.000Z CYCLE: 9/12 localized +2026-02-06T03:43:49.000Z CYCLE: 9/12 localized +2026-02-06T03:43:59.000Z CYCLE: 9/12 localized +2026-02-06T03:44:09.000Z CYCLE: 9/12 localized +2026-02-06T03:44:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:44:19.000Z CYCLE: 8/12 localized +2026-02-06T03:44:29.000Z CYCLE: 9/12 localized +2026-02-06T03:44:39.000Z CYCLE: 9/12 localized +2026-02-06T03:44:49.000Z CYCLE: 9/12 localized +2026-02-06T03:44:59.000Z CYCLE: 9/12 localized +2026-02-06T03:45:09.000Z CYCLE: 9/12 localized +2026-02-06T03:45:19.000Z CYCLE: 9/12 localized +2026-02-06T03:45:29.000Z CYCLE: 9/12 localized +2026-02-06T03:45:40.000Z CYCLE: 9/12 localized +2026-02-06T03:45:50.000Z CYCLE: 9/12 localized +2026-02-06T03:46:00.000Z CYCLE: 9/12 localized +2026-02-06T03:46:10.000Z CYCLE: 9/12 localized +2026-02-06T03:46:20.000Z CYCLE: 9/12 localized +2026-02-06T03:46:30.000Z CYCLE: 9/12 localized +2026-02-06T03:46:40.000Z CYCLE: 9/12 localized +2026-02-06T03:46:50.000Z CYCLE: 9/12 localized +2026-02-06T03:47:00.000Z CYCLE: 9/12 localized +2026-02-06T03:47:10.000Z CYCLE: 9/12 localized +2026-02-06T03:47:20.000Z CYCLE: 9/12 localized +2026-02-06T03:47:30.000Z CYCLE: 9/12 localized +2026-02-06T03:47:40.000Z CYCLE: 9/12 localized +2026-02-06T03:47:50.000Z CYCLE: 9/12 localized +2026-02-06T03:48:00.000Z CYCLE: 9/12 localized +2026-02-06T03:48:10.000Z CYCLE: 9/12 localized +2026-02-06T03:48:21.000Z CYCLE: 9/12 localized +2026-02-06T03:48:31.000Z CYCLE: 9/12 localized +2026-02-06T03:48:41.000Z CYCLE: 9/12 localized +2026-02-06T03:48:51.000Z CYCLE: 9/12 localized +2026-02-06T03:49:01.000Z CYCLE: 9/12 localized +2026-02-06T03:49:11.000Z CYCLE: 9/12 localized +2026-02-06T03:49:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:49:21.000Z CYCLE: 8/12 localized +2026-02-06T03:49:31.000Z CYCLE: 9/12 localized +2026-02-06T03:49:41.000Z CYCLE: 9/12 localized +2026-02-06T03:49:51.000Z CYCLE: 9/12 localized +2026-02-06T03:50:01.000Z CYCLE: 9/12 localized +2026-02-06T03:50:11.000Z CYCLE: 9/12 localized +2026-02-06T03:50:21.000Z CYCLE: 9/12 localized +2026-02-06T03:50:31.000Z CYCLE: 9/12 localized +2026-02-06T03:50:41.000Z CYCLE: 9/12 localized +2026-02-06T03:50:52.000Z CYCLE: 9/12 localized +2026-02-06T03:51:02.000Z CYCLE: 9/12 localized +2026-02-06T03:51:12.000Z CYCLE: 9/12 localized +2026-02-06T03:51:22.000Z CYCLE: 9/12 localized +2026-02-06T03:51:32.000Z CYCLE: 9/12 localized +2026-02-06T03:51:42.000Z CYCLE: 9/12 localized +2026-02-06T03:51:52.000Z CYCLE: 9/12 localized +2026-02-06T03:52:02.000Z CYCLE: 9/12 localized +2026-02-06T03:52:12.000Z CYCLE: 9/12 localized +2026-02-06T03:52:22.000Z CYCLE: 9/12 localized +2026-02-06T03:52:32.000Z CYCLE: 9/12 localized +2026-02-06T03:52:42.000Z CYCLE: 9/12 localized +2026-02-06T03:52:52.000Z CYCLE: 9/12 localized +2026-02-06T03:53:02.000Z CYCLE: 9/12 localized +2026-02-06T03:53:13.000Z CYCLE: 9/12 localized +2026-02-06T03:53:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:53:23.000Z CYCLE: 8/12 localized +2026-02-06T03:53:33.000Z CYCLE: 9/12 localized +2026-02-06T03:53:43.000Z CYCLE: 9/12 localized +2026-02-06T03:53:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:53:53.000Z CYCLE: 8/12 localized +2026-02-06T03:54:04.000Z CYCLE: 9/12 localized +2026-02-06T03:54:14.000Z CYCLE: 9/12 localized +2026-02-06T03:54:24.000Z CYCLE: 9/12 localized +2026-02-06T03:54:34.000Z CYCLE: 9/12 localized +2026-02-06T03:54:44.000Z CYCLE: 9/12 localized +2026-02-06T03:54:54.000Z CYCLE: 9/12 localized +2026-02-06T03:55:04.000Z CYCLE: 9/12 localized +2026-02-06T03:55:14.000Z CYCLE: 9/12 localized +2026-02-06T03:55:24.000Z CYCLE: 9/12 localized +2026-02-06T03:55:34.000Z CYCLE: 9/12 localized +2026-02-06T03:55:45.000Z CYCLE: 9/12 localized +2026-02-06T03:55:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:55:55.000Z CYCLE: 8/12 localized +2026-02-06T03:56:05.000Z CYCLE: 9/12 localized +2026-02-06T03:56:15.000Z CYCLE: 9/12 localized +2026-02-06T03:56:25.000Z CYCLE: 9/12 localized +2026-02-06T03:56:35.000Z CYCLE: 9/12 localized +2026-02-06T03:56:45.000Z CYCLE: 9/12 localized +2026-02-06T03:56:55.000Z CYCLE: 9/12 localized +2026-02-06T03:57:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:57:05.000Z CYCLE: 8/12 localized +2026-02-06T03:57:15.000Z CYCLE: 9/12 localized +2026-02-06T03:57:25.000Z CYCLE: 9/12 localized +2026-02-06T03:57:35.000Z CYCLE: 9/12 localized +2026-02-06T03:57:45.000Z CYCLE: 9/12 localized +2026-02-06T03:57:55.000Z CYCLE: 9/12 localized +2026-02-06T03:58:05.000Z CYCLE: 9/12 localized +2026-02-06T03:58:16.000Z CYCLE: 9/12 localized +2026-02-06T03:58:26.000Z CYCLE: 9/12 localized +2026-02-06T03:58:36.000Z CYCLE: 9/12 localized +2026-02-06T03:58:46.000Z CYCLE: 9/12 localized +2026-02-06T03:58:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T03:58:56.000Z CYCLE: 8/12 localized +2026-02-06T03:59:06.000Z CYCLE: 9/12 localized +2026-02-06T03:59:16.000Z CYCLE: 9/12 localized +2026-02-06T03:59:26.000Z CYCLE: 9/12 localized +2026-02-06T03:59:36.000Z CYCLE: 9/12 localized +2026-02-06T03:59:46.000Z CYCLE: 9/12 localized +2026-02-06T03:59:56.000Z CYCLE: 9/12 localized +2026-02-06T04:00:06.000Z CYCLE: 9/12 localized +2026-02-06T04:00:16.000Z CYCLE: 9/12 localized +2026-02-06T04:00:26.000Z CYCLE: 9/12 localized +2026-02-06T04:00:36.000Z CYCLE: 9/12 localized +2026-02-06T04:00:47.000Z CYCLE: 9/12 localized +2026-02-06T04:00:57.000Z CYCLE: 9/12 localized +2026-02-06T04:01:07.000Z CYCLE: 9/12 localized +2026-02-06T04:01:17.000Z CYCLE: 9/12 localized +2026-02-06T04:01:27.000Z CYCLE: 9/12 localized +2026-02-06T04:01:37.000Z CYCLE: 9/12 localized +2026-02-06T04:01:47.000Z CYCLE: 9/12 localized +2026-02-06T04:01:57.000Z CYCLE: 9/12 localized +2026-02-06T04:02:07.000Z CYCLE: 9/12 localized +2026-02-06T04:02:17.000Z CYCLE: 9/12 localized +2026-02-06T04:02:27.000Z CYCLE: 9/12 localized +2026-02-06T04:02:37.000Z CYCLE: 9/12 localized +2026-02-06T04:02:47.000Z CYCLE: 9/12 localized +2026-02-06T04:02:57.000Z CYCLE: 9/12 localized +2026-02-06T04:03:07.000Z CYCLE: 9/12 localized +2026-02-06T04:03:18.000Z CYCLE: 9/12 localized +2026-02-06T04:03:28.000Z CYCLE: 9/12 localized +2026-02-06T04:03:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:03:38.000Z CYCLE: 8/12 localized +2026-02-06T04:03:48.000Z CYCLE: 9/12 localized +2026-02-06T04:03:58.000Z CYCLE: 9/12 localized +2026-02-06T04:04:08.000Z CYCLE: 9/12 localized +2026-02-06T04:04:18.000Z CYCLE: 9/12 localized +2026-02-06T04:04:28.000Z CYCLE: 9/12 localized +2026-02-06T04:04:38.000Z CYCLE: 9/12 localized +2026-02-06T04:04:48.000Z CYCLE: 9/12 localized +2026-02-06T04:04:58.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:04:58.000Z CYCLE: 8/12 localized +2026-02-06T04:05:08.000Z CYCLE: 9/12 localized +2026-02-06T04:05:18.000Z CYCLE: 9/12 localized +2026-02-06T04:05:28.000Z CYCLE: 9/12 localized +2026-02-06T04:05:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:05:38.000Z CYCLE: 8/12 localized +2026-02-06T04:05:49.000Z CYCLE: 9/12 localized +2026-02-06T04:05:59.000Z CYCLE: 9/12 localized +2026-02-06T04:06:09.000Z CYCLE: 9/12 localized +2026-02-06T04:06:19.000Z CYCLE: 9/12 localized +2026-02-06T04:06:29.000Z CYCLE: 9/12 localized +2026-02-06T04:06:39.000Z CYCLE: 9/12 localized +2026-02-06T04:06:49.000Z CYCLE: 9/12 localized +2026-02-06T04:06:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:06:59.000Z CYCLE: 8/12 localized +2026-02-06T04:07:09.000Z CYCLE: 9/12 localized +2026-02-06T04:07:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:07:19.000Z CYCLE: 8/12 localized +2026-02-06T04:07:29.000Z CYCLE: 9/12 localized +2026-02-06T04:07:39.000Z CYCLE: 9/12 localized +2026-02-06T04:07:49.000Z CYCLE: 9/12 localized +2026-02-06T04:07:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:07:59.000Z CYCLE: 8/12 localized +2026-02-06T04:08:09.000Z CYCLE: 9/12 localized +2026-02-06T04:08:20.000Z CYCLE: 9/12 localized +2026-02-06T04:08:30.000Z CYCLE: 9/12 localized +2026-02-06T04:08:40.000Z CYCLE: 9/12 localized +2026-02-06T04:08:50.000Z CYCLE: 9/12 localized +2026-02-06T04:09:00.000Z CYCLE: 9/12 localized +2026-02-06T04:09:10.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:09:10.000Z CYCLE: 8/12 localized +2026-02-06T04:09:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:09:20.000Z CYCLE: 8/12 localized +2026-02-06T04:09:30.000Z CYCLE: 9/12 localized +2026-02-06T04:09:40.000Z CYCLE: 9/12 localized +2026-02-06T04:09:50.000Z CYCLE: 9/12 localized +2026-02-06T04:10:00.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:10:00.000Z CYCLE: 8/12 localized +2026-02-06T04:10:10.000Z CYCLE: 9/12 localized +2026-02-06T04:10:20.000Z CYCLE: 9/12 localized +2026-02-06T04:10:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:10:30.000Z CYCLE: 8/12 localized +2026-02-06T04:10:41.000Z CYCLE: 9/12 localized +2026-02-06T04:10:51.000Z CYCLE: 9/12 localized +2026-02-06T04:11:01.000Z CYCLE: 9/12 localized +2026-02-06T04:11:11.000Z CYCLE: 9/12 localized +2026-02-06T04:11:21.000Z CYCLE: 9/12 localized +2026-02-06T04:11:31.000Z CYCLE: 9/12 localized +2026-02-06T04:11:41.000Z CYCLE: 9/12 localized +2026-02-06T04:11:51.000Z CYCLE: 9/12 localized +2026-02-06T04:12:01.000Z CYCLE: 9/12 localized +2026-02-06T04:12:11.000Z CYCLE: 9/12 localized +2026-02-06T04:12:21.000Z CYCLE: 9/12 localized +2026-02-06T04:12:31.000Z CYCLE: 9/12 localized +2026-02-06T04:12:41.000Z CYCLE: 9/12 localized +2026-02-06T04:12:51.000Z CYCLE: 9/12 localized +2026-02-06T04:13:01.000Z CYCLE: 9/12 localized +2026-02-06T04:13:12.000Z CYCLE: 9/12 localized +2026-02-06T04:13:22.000Z CYCLE: 9/12 localized +2026-02-06T04:13:32.000Z CYCLE: 9/12 localized +2026-02-06T04:13:42.000Z CYCLE: 9/12 localized +2026-02-06T04:13:52.000Z CYCLE: 9/12 localized +2026-02-06T04:14:02.000Z CYCLE: 9/12 localized +2026-02-06T04:14:12.000Z CYCLE: 9/12 localized +2026-02-06T04:14:22.000Z CYCLE: 9/12 localized +2026-02-06T04:14:32.000Z CYCLE: 9/12 localized +2026-02-06T04:14:42.000Z CYCLE: 9/12 localized +2026-02-06T04:14:52.000Z CYCLE: 9/12 localized +2026-02-06T04:15:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:15:02.000Z CYCLE: 8/12 localized +2026-02-06T04:15:12.000Z CYCLE: 9/12 localized +2026-02-06T04:15:22.000Z CYCLE: 9/12 localized +2026-02-06T04:15:33.000Z CYCLE: 9/12 localized +2026-02-06T04:15:43.000Z CYCLE: 9/12 localized +2026-02-06T04:15:53.000Z CYCLE: 9/12 localized +2026-02-06T04:16:03.000Z CYCLE: 9/12 localized +2026-02-06T04:16:13.000Z CYCLE: 9/12 localized +2026-02-06T04:16:23.000Z CYCLE: 9/12 localized +2026-02-06T04:16:33.000Z CYCLE: 9/12 localized +2026-02-06T04:16:43.000Z CYCLE: 9/12 localized +2026-02-06T04:16:53.000Z CYCLE: 9/12 localized +2026-02-06T04:17:03.000Z CYCLE: 9/12 localized +2026-02-06T04:17:13.000Z CYCLE: 9/12 localized +2026-02-06T04:17:23.000Z CYCLE: 9/12 localized +2026-02-06T04:17:33.000Z CYCLE: 9/12 localized +2026-02-06T04:17:43.000Z CYCLE: 9/12 localized +2026-02-06T04:17:53.000Z CYCLE: 9/12 localized +2026-02-06T04:18:04.000Z CYCLE: 9/12 localized +2026-02-06T04:18:14.000Z CYCLE: 9/12 localized +2026-02-06T04:18:24.000Z CYCLE: 9/12 localized +2026-02-06T04:18:34.000Z CYCLE: 9/12 localized +2026-02-06T04:18:44.000Z CYCLE: 9/12 localized +2026-02-06T04:18:54.000Z CYCLE: 9/12 localized +2026-02-06T04:19:04.000Z CYCLE: 9/12 localized +2026-02-06T04:19:14.000Z CYCLE: 9/12 localized +2026-02-06T04:19:24.000Z CYCLE: 9/12 localized +2026-02-06T04:19:34.000Z CYCLE: 9/12 localized +2026-02-06T04:19:44.000Z CYCLE: 9/12 localized +2026-02-06T04:19:54.000Z CYCLE: 9/12 localized +2026-02-06T04:20:04.000Z CYCLE: 9/12 localized +2026-02-06T04:20:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:20:14.000Z CYCLE: 8/12 localized +2026-02-06T04:20:24.000Z CYCLE: 9/12 localized +2026-02-06T04:20:35.000Z CYCLE: 9/12 localized +2026-02-06T04:20:45.000Z CYCLE: 9/12 localized +2026-02-06T04:20:55.000Z CYCLE: 9/12 localized +2026-02-06T04:21:05.000Z CYCLE: 9/12 localized +2026-02-06T04:21:15.000Z CYCLE: 9/12 localized +2026-02-06T04:21:25.000Z CYCLE: 9/12 localized +2026-02-06T04:21:35.000Z CYCLE: 9/12 localized +2026-02-06T04:21:45.000Z CYCLE: 9/12 localized +2026-02-06T04:21:55.000Z CYCLE: 9/12 localized +2026-02-06T04:22:05.000Z CYCLE: 9/12 localized +2026-02-06T04:22:15.000Z CYCLE: 9/12 localized +2026-02-06T04:22:25.000Z CYCLE: 9/12 localized +2026-02-06T04:22:35.000Z CYCLE: 9/12 localized +2026-02-06T04:22:45.000Z CYCLE: 9/12 localized +2026-02-06T04:22:55.000Z CYCLE: 9/12 localized +2026-02-06T04:23:06.000Z CYCLE: 9/12 localized +2026-02-06T04:23:16.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:23:16.000Z CYCLE: 8/12 localized +2026-02-06T04:23:26.000Z CYCLE: 9/12 localized +2026-02-06T04:23:36.000Z CYCLE: 9/12 localized +2026-02-06T04:23:46.000Z CYCLE: 9/12 localized +2026-02-06T04:23:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:23:56.000Z CYCLE: 8/12 localized +2026-02-06T04:24:06.000Z CYCLE: 9/12 localized +2026-02-06T04:24:16.000Z CYCLE: 9/12 localized +2026-02-06T04:24:26.000Z CYCLE: 9/12 localized +2026-02-06T04:24:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:24:36.000Z CYCLE: 8/12 localized +2026-02-06T04:24:46.000Z CYCLE: 9/12 localized +2026-02-06T04:24:56.000Z CYCLE: 9/12 localized +2026-02-06T04:25:06.000Z CYCLE: 9/12 localized +2026-02-06T04:25:16.000Z CYCLE: 9/12 localized +2026-02-06T04:25:26.000Z CYCLE: 9/12 localized +2026-02-06T04:25:37.000Z CYCLE: 9/12 localized +2026-02-06T04:25:47.000Z CYCLE: 9/12 localized +2026-02-06T04:25:57.000Z CYCLE: 9/12 localized +2026-02-06T04:26:07.000Z CYCLE: 9/12 localized +2026-02-06T04:26:17.000Z CYCLE: 9/12 localized +2026-02-06T04:26:27.000Z CYCLE: 9/12 localized +2026-02-06T04:26:37.000Z CYCLE: 9/12 localized +2026-02-06T04:26:47.000Z CYCLE: 9/12 localized +2026-02-06T04:26:57.000Z CYCLE: 9/12 localized +2026-02-06T04:27:07.000Z CYCLE: 9/12 localized +2026-02-06T04:27:17.000Z CYCLE: 9/12 localized +2026-02-06T04:27:27.000Z CYCLE: 9/12 localized +2026-02-06T04:27:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:27:37.000Z CYCLE: 8/12 localized +2026-02-06T04:27:47.000Z CYCLE: 9/12 localized +2026-02-06T04:27:58.000Z CYCLE: 9/12 localized +2026-02-06T04:28:08.000Z CYCLE: 9/12 localized +2026-02-06T04:28:18.000Z CYCLE: 9/12 localized +2026-02-06T04:28:28.000Z CYCLE: 9/12 localized +2026-02-06T04:28:38.000Z CYCLE: 9/12 localized +2026-02-06T04:28:48.000Z CYCLE: 9/12 localized +2026-02-06T04:28:58.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:28:58.000Z CYCLE: 8/12 localized +2026-02-06T04:29:08.000Z CYCLE: 9/12 localized +2026-02-06T04:29:18.000Z CYCLE: 9/12 localized +2026-02-06T04:29:28.000Z CYCLE: 9/12 localized +2026-02-06T04:29:38.000Z CYCLE: 9/12 localized +2026-02-06T04:29:48.000Z CYCLE: 9/12 localized +2026-02-06T04:29:58.000Z CYCLE: 9/12 localized +2026-02-06T04:30:08.000Z CYCLE: 9/12 localized +2026-02-06T04:30:18.000Z CYCLE: 9/12 localized +2026-02-06T04:30:29.000Z CYCLE: 9/12 localized +2026-02-06T04:30:39.000Z CYCLE: 9/12 localized +2026-02-06T04:30:49.000Z CYCLE: 9/12 localized +2026-02-06T04:30:59.000Z CYCLE: 9/12 localized +2026-02-06T04:31:09.000Z CYCLE: 9/12 localized +2026-02-06T04:31:19.000Z CYCLE: 9/12 localized +2026-02-06T04:31:29.000Z CYCLE: 9/12 localized +2026-02-06T04:31:39.000Z CYCLE: 9/12 localized +2026-02-06T04:31:49.000Z CYCLE: 9/12 localized +2026-02-06T04:31:59.000Z CYCLE: 9/12 localized +2026-02-06T04:32:09.000Z CYCLE: 9/12 localized +2026-02-06T04:32:19.000Z CYCLE: 9/12 localized +2026-02-06T04:32:29.000Z CYCLE: 9/12 localized +2026-02-06T04:32:39.000Z CYCLE: 9/12 localized +2026-02-06T04:32:49.000Z CYCLE: 9/12 localized +2026-02-06T04:33:00.000Z CYCLE: 9/12 localized +2026-02-06T04:33:10.000Z CYCLE: 9/12 localized +2026-02-06T04:33:20.000Z CYCLE: 9/12 localized +2026-02-06T04:33:30.000Z CYCLE: 9/12 localized +2026-02-06T04:33:40.000Z CYCLE: 9/12 localized +2026-02-06T04:33:50.000Z CYCLE: 9/12 localized +2026-02-06T04:34:00.000Z CYCLE: 9/12 localized +2026-02-06T04:34:10.000Z CYCLE: 9/12 localized +2026-02-06T04:34:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:34:20.000Z CYCLE: 8/12 localized +2026-02-06T04:34:30.000Z CYCLE: 9/12 localized +2026-02-06T04:34:40.000Z CYCLE: 9/12 localized +2026-02-06T04:34:50.000Z CYCLE: 9/12 localized +2026-02-06T04:35:00.000Z CYCLE: 9/12 localized +2026-02-06T04:35:10.000Z CYCLE: 9/12 localized +2026-02-06T04:35:21.000Z CYCLE: 9/12 localized +2026-02-06T04:35:31.000Z CYCLE: 9/12 localized +2026-02-06T04:35:41.000Z CYCLE: 9/12 localized +2026-02-06T04:35:51.000Z CYCLE: 9/12 localized +2026-02-06T04:36:01.000Z CYCLE: 9/12 localized +2026-02-06T04:36:11.000Z CYCLE: 9/12 localized +2026-02-06T04:36:21.000Z CYCLE: 9/12 localized +2026-02-06T04:36:31.000Z CYCLE: 9/12 localized +2026-02-06T04:36:41.000Z CYCLE: 9/12 localized +2026-02-06T04:36:51.000Z CYCLE: 9/12 localized +2026-02-06T04:37:01.000Z CYCLE: 9/12 localized +2026-02-06T04:37:12.000Z CYCLE: 9/12 localized +2026-02-06T04:37:22.000Z CYCLE: 9/12 localized +2026-02-06T04:37:32.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:37:32.000Z CYCLE: 8/12 localized +2026-02-06T04:37:42.000Z CYCLE: 9/12 localized +2026-02-06T04:37:52.000Z CYCLE: 9/12 localized +2026-02-06T04:38:02.000Z CYCLE: 9/12 localized +2026-02-06T04:38:12.000Z CYCLE: 9/12 localized +2026-02-06T04:38:22.000Z CYCLE: 9/12 localized +2026-02-06T04:38:32.000Z CYCLE: 9/12 localized +2026-02-06T04:38:42.000Z CYCLE: 9/12 localized +2026-02-06T04:38:52.000Z CYCLE: 9/12 localized +2026-02-06T04:39:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:39:02.000Z CYCLE: 8/12 localized +2026-02-06T04:39:12.000Z CYCLE: 9/12 localized +2026-02-06T04:39:23.000Z CYCLE: 9/12 localized +2026-02-06T04:39:33.000Z CYCLE: 9/12 localized +2026-02-06T04:39:43.000Z CYCLE: 9/12 localized +2026-02-06T04:39:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:39:53.000Z CYCLE: 8/12 localized +2026-02-06T04:40:03.000Z CYCLE: 9/12 localized +2026-02-06T04:40:13.000Z CYCLE: 9/12 localized +2026-02-06T04:40:23.000Z CYCLE: 9/12 localized +2026-02-06T04:40:33.000Z CYCLE: 9/12 localized +2026-02-06T04:40:43.000Z CYCLE: 9/12 localized +2026-02-06T04:40:53.000Z CYCLE: 9/12 localized +2026-02-06T04:41:03.000Z CYCLE: 9/12 localized +2026-02-06T04:41:13.000Z CYCLE: 9/12 localized +2026-02-06T04:41:23.000Z CYCLE: 9/12 localized +2026-02-06T04:41:33.000Z CYCLE: 9/12 localized +2026-02-06T04:41:43.000Z CYCLE: 9/12 localized +2026-02-06T04:41:54.000Z CYCLE: 9/12 localized +2026-02-06T04:42:04.000Z CYCLE: 9/12 localized +2026-02-06T04:42:14.000Z CYCLE: 9/12 localized +2026-02-06T04:42:24.000Z CYCLE: 9/12 localized +2026-02-06T04:42:34.000Z CYCLE: 9/12 localized +2026-02-06T04:42:44.000Z CYCLE: 9/12 localized +2026-02-06T04:42:54.000Z CYCLE: 9/12 localized +2026-02-06T04:43:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:43:04.000Z CYCLE: 8/12 localized +2026-02-06T04:43:14.000Z CYCLE: 9/12 localized +2026-02-06T04:43:24.000Z CYCLE: 9/12 localized +2026-02-06T04:43:34.000Z CYCLE: 9/12 localized +2026-02-06T04:43:44.000Z CYCLE: 9/12 localized +2026-02-06T04:43:54.000Z CYCLE: 9/12 localized +2026-02-06T04:44:04.000Z CYCLE: 9/12 localized +2026-02-06T04:44:14.000Z CYCLE: 9/12 localized +2026-02-06T04:44:25.000Z CYCLE: 9/12 localized +2026-02-06T04:44:35.000Z CYCLE: 9/12 localized +2026-02-06T04:44:45.000Z CYCLE: 9/12 localized +2026-02-06T04:44:55.000Z CYCLE: 9/12 localized +2026-02-06T04:45:05.000Z CYCLE: 9/12 localized +2026-02-06T04:45:15.000Z CYCLE: 9/12 localized +2026-02-06T04:45:25.000Z CYCLE: 9/12 localized +2026-02-06T04:45:35.000Z CYCLE: 9/12 localized +2026-02-06T04:45:45.000Z CYCLE: 9/12 localized +2026-02-06T04:45:55.000Z CYCLE: 9/12 localized +2026-02-06T04:46:05.000Z CYCLE: 9/12 localized +2026-02-06T04:46:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:46:15.000Z CYCLE: 8/12 localized +2026-02-06T04:46:25.000Z CYCLE: 9/12 localized +2026-02-06T04:46:35.000Z CYCLE: 9/12 localized +2026-02-06T04:46:45.000Z CYCLE: 9/12 localized +2026-02-06T04:46:56.000Z CYCLE: 9/12 localized +2026-02-06T04:47:06.000Z CYCLE: 9/12 localized +2026-02-06T04:47:16.000Z CYCLE: 9/12 localized +2026-02-06T04:47:26.000Z CYCLE: 9/12 localized +2026-02-06T04:47:36.000Z CYCLE: 9/12 localized +2026-02-06T04:47:46.000Z CYCLE: 9/12 localized +2026-02-06T04:47:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:47:56.000Z CYCLE: 8/12 localized +2026-02-06T04:48:06.000Z CYCLE: 9/12 localized +2026-02-06T04:48:16.000Z CYCLE: 9/12 localized +2026-02-06T04:48:26.000Z CYCLE: 9/12 localized +2026-02-06T04:48:36.000Z CYCLE: 9/12 localized +2026-02-06T04:48:46.000Z CYCLE: 9/12 localized +2026-02-06T04:48:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:48:56.000Z CYCLE: 8/12 localized +2026-02-06T04:49:06.000Z CYCLE: 9/12 localized +2026-02-06T04:49:16.000Z CYCLE: 9/12 localized +2026-02-06T04:49:27.000Z CYCLE: 9/12 localized +2026-02-06T04:49:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:49:37.000Z CYCLE: 8/12 localized +2026-02-06T04:49:47.000Z CYCLE: 9/12 localized +2026-02-06T04:49:57.000Z CYCLE: 9/12 localized +2026-02-06T04:50:07.000Z CYCLE: 9/12 localized +2026-02-06T04:50:17.000Z CYCLE: 9/12 localized +2026-02-06T04:50:27.000Z CYCLE: 9/12 localized +2026-02-06T04:50:37.000Z CYCLE: 9/12 localized +2026-02-06T04:50:47.000Z CYCLE: 9/12 localized +2026-02-06T04:50:57.000Z CYCLE: 9/12 localized +2026-02-06T04:51:07.000Z CYCLE: 9/12 localized +2026-02-06T04:51:17.000Z CYCLE: 9/12 localized +2026-02-06T04:51:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:51:27.000Z CYCLE: 8/12 localized +2026-02-06T04:51:37.000Z CYCLE: 9/12 localized +2026-02-06T04:51:48.000Z CYCLE: 9/12 localized +2026-02-06T04:51:58.000Z CYCLE: 9/12 localized +2026-02-06T04:52:08.000Z CYCLE: 9/12 localized +2026-02-06T04:52:18.000Z CYCLE: 9/12 localized +2026-02-06T04:52:28.000Z CYCLE: 9/12 localized +2026-02-06T04:52:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:52:38.000Z CYCLE: 8/12 localized +2026-02-06T04:52:48.000Z CYCLE: 9/12 localized +2026-02-06T04:52:58.000Z CYCLE: 9/12 localized +2026-02-06T04:53:08.000Z CYCLE: 9/12 localized +2026-02-06T04:53:18.000Z CYCLE: 9/12 localized +2026-02-06T04:53:28.000Z CYCLE: 9/12 localized +2026-02-06T04:53:38.000Z CYCLE: 9/12 localized +2026-02-06T04:53:48.000Z CYCLE: 9/12 localized +2026-02-06T04:53:58.000Z CYCLE: 9/12 localized +2026-02-06T04:54:08.000Z CYCLE: 9/12 localized +2026-02-06T04:54:19.000Z CYCLE: 9/12 localized +2026-02-06T04:54:29.000Z CYCLE: 9/12 localized +2026-02-06T04:54:39.000Z CYCLE: 9/12 localized +2026-02-06T04:54:49.000Z CYCLE: 9/12 localized +2026-02-06T04:54:59.000Z CYCLE: 9/12 localized +2026-02-06T04:55:09.000Z CYCLE: 9/12 localized +2026-02-06T04:55:19.000Z CYCLE: 9/12 localized +2026-02-06T04:55:29.000Z CYCLE: 9/12 localized +2026-02-06T04:55:39.000Z CYCLE: 9/12 localized +2026-02-06T04:55:49.000Z CYCLE: 9/12 localized +2026-02-06T04:55:59.000Z CYCLE: 9/12 localized +2026-02-06T04:56:09.000Z CYCLE: 9/12 localized +2026-02-06T04:56:19.000Z CYCLE: 9/12 localized +2026-02-06T04:56:29.000Z CYCLE: 9/12 localized +2026-02-06T04:56:39.000Z CYCLE: 9/12 localized +2026-02-06T04:56:50.000Z CYCLE: 9/12 localized +2026-02-06T04:57:00.000Z CYCLE: 9/12 localized +2026-02-06T04:57:10.000Z CYCLE: 9/12 localized +2026-02-06T04:57:20.000Z CYCLE: 9/12 localized +2026-02-06T04:57:30.000Z CYCLE: 9/12 localized +2026-02-06T04:57:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:57:40.000Z CYCLE: 8/12 localized +2026-02-06T04:57:50.000Z CYCLE: 9/12 localized +2026-02-06T04:58:00.000Z CYCLE: 9/12 localized +2026-02-06T04:58:10.000Z CYCLE: 9/12 localized +2026-02-06T04:58:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T04:58:20.000Z CYCLE: 8/12 localized +2026-02-06T04:58:30.000Z CYCLE: 9/12 localized +2026-02-06T04:58:40.000Z CYCLE: 9/12 localized +2026-02-06T04:58:51.000Z CYCLE: 9/12 localized +2026-02-06T04:59:01.000Z CYCLE: 9/12 localized +2026-02-06T04:59:11.000Z CYCLE: 9/12 localized +2026-02-06T04:59:21.000Z CYCLE: 9/12 localized +2026-02-06T04:59:31.000Z CYCLE: 9/12 localized +2026-02-06T04:59:41.000Z CYCLE: 9/12 localized +2026-02-06T04:59:51.000Z CYCLE: 9/12 localized +2026-02-06T05:00:01.000Z CYCLE: 9/12 localized +2026-02-06T05:00:11.000Z CYCLE: 9/12 localized +2026-02-06T05:00:21.000Z CYCLE: 9/12 localized +2026-02-06T05:00:31.000Z CYCLE: 9/12 localized +2026-02-06T05:00:41.000Z CYCLE: 9/12 localized +2026-02-06T05:00:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:00:51.000Z CYCLE: 8/12 localized +2026-02-06T05:01:01.000Z CYCLE: 9/12 localized +2026-02-06T05:01:11.000Z CYCLE: 9/12 localized +2026-02-06T05:01:22.000Z CYCLE: 9/12 localized +2026-02-06T05:01:32.000Z CYCLE: 9/12 localized +2026-02-06T05:01:42.000Z CYCLE: 9/12 localized +2026-02-06T05:01:52.000Z CYCLE: 9/12 localized +2026-02-06T05:02:02.000Z CYCLE: 9/12 localized +2026-02-06T05:02:12.000Z CYCLE: 9/12 localized +2026-02-06T05:02:22.000Z CYCLE: 9/12 localized +2026-02-06T05:02:32.000Z CYCLE: 9/12 localized +2026-02-06T05:02:42.000Z CYCLE: 9/12 localized +2026-02-06T05:02:52.000Z CYCLE: 9/12 localized +2026-02-06T05:03:02.000Z CYCLE: 9/12 localized +2026-02-06T05:03:12.000Z CYCLE: 9/12 localized +2026-02-06T05:03:22.000Z CYCLE: 9/12 localized +2026-02-06T05:03:32.000Z CYCLE: 9/12 localized +2026-02-06T05:03:43.000Z CYCLE: 9/12 localized +2026-02-06T05:03:53.000Z CYCLE: 9/12 localized +2026-02-06T05:04:03.000Z CYCLE: 9/12 localized +2026-02-06T05:04:13.000Z CYCLE: 9/12 localized +2026-02-06T05:04:23.000Z CYCLE: 9/12 localized +2026-02-06T05:04:33.000Z CYCLE: 9/12 localized +2026-02-06T05:04:43.000Z CYCLE: 9/12 localized +2026-02-06T05:04:53.000Z CYCLE: 9/12 localized +2026-02-06T05:05:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:05:03.000Z CYCLE: 8/12 localized +2026-02-06T05:05:13.000Z CYCLE: 9/12 localized +2026-02-06T05:05:23.000Z CYCLE: 9/12 localized +2026-02-06T05:05:33.000Z CYCLE: 9/12 localized +2026-02-06T05:05:43.000Z CYCLE: 9/12 localized +2026-02-06T05:05:53.000Z CYCLE: 9/12 localized +2026-02-06T05:06:03.000Z CYCLE: 9/12 localized +2026-02-06T05:06:14.000Z CYCLE: 9/12 localized +2026-02-06T05:06:24.000Z CYCLE: 9/12 localized +2026-02-06T05:06:34.000Z CYCLE: 9/12 localized +2026-02-06T05:06:44.000Z CYCLE: 9/12 localized +2026-02-06T05:06:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:06:54.000Z CYCLE: 8/12 localized +2026-02-06T05:07:04.000Z CYCLE: 9/12 localized +2026-02-06T05:07:14.000Z CYCLE: 9/12 localized +2026-02-06T05:07:24.000Z CYCLE: 8/12 localized +2026-02-06T05:07:34.000Z CYCLE: 9/12 localized +2026-02-06T05:07:44.000Z CYCLE: 9/12 localized +2026-02-06T05:07:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:07:54.000Z CYCLE: 8/12 localized +2026-02-06T05:08:04.000Z CYCLE: 9/12 localized +2026-02-06T05:08:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:08:14.000Z CYCLE: 8/12 localized +2026-02-06T05:08:24.000Z CYCLE: 9/12 localized +2026-02-06T05:08:34.000Z CYCLE: 9/12 localized +2026-02-06T05:08:45.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:08:45.000Z CYCLE: 8/12 localized +2026-02-06T05:08:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:08:55.000Z CYCLE: 8/12 localized +2026-02-06T05:09:05.000Z CYCLE: 9/12 localized +2026-02-06T05:09:15.000Z CYCLE: 9/12 localized +2026-02-06T05:09:25.000Z CYCLE: 9/12 localized +2026-02-06T05:09:35.000Z CYCLE: 9/12 localized +2026-02-06T05:09:45.000Z CYCLE: 9/12 localized +2026-02-06T05:09:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:09:55.000Z CYCLE: 8/12 localized +2026-02-06T05:10:05.000Z CYCLE: 9/12 localized +2026-02-06T05:10:15.000Z CYCLE: 9/12 localized +2026-02-06T05:10:25.000Z CYCLE: 9/12 localized +2026-02-06T05:10:35.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:10:35.000Z CYCLE: 8/12 localized +2026-02-06T05:10:45.000Z CYCLE: 9/12 localized +2026-02-06T05:10:55.000Z CYCLE: 9/12 localized +2026-02-06T05:11:06.000Z CYCLE: 9/12 localized +2026-02-06T05:11:16.000Z CYCLE: 9/12 localized +2026-02-06T05:11:26.000Z CYCLE: 9/12 localized +2026-02-06T05:11:36.000Z CYCLE: 9/12 localized +2026-02-06T05:11:46.000Z CYCLE: 9/12 localized +2026-02-06T05:11:56.000Z CYCLE: 9/12 localized +2026-02-06T05:12:06.000Z CYCLE: 9/12 localized +2026-02-06T05:12:16.000Z CYCLE: 9/12 localized +2026-02-06T05:12:26.000Z CYCLE: 9/12 localized +2026-02-06T05:12:36.000Z CYCLE: 9/12 localized +2026-02-06T05:12:46.000Z CYCLE: 9/12 localized +2026-02-06T05:12:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:12:56.000Z CYCLE: 8/12 localized +2026-02-06T05:13:06.000Z CYCLE: 9/12 localized +2026-02-06T05:13:16.000Z CYCLE: 9/12 localized +2026-02-06T05:13:26.000Z CYCLE: 9/12 localized +2026-02-06T05:13:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:13:37.000Z CYCLE: 8/12 localized +2026-02-06T05:13:47.000Z CYCLE: 9/12 localized +2026-02-06T05:13:57.000Z CYCLE: 9/12 localized +2026-02-06T05:14:07.000Z CYCLE: 9/12 localized +2026-02-06T05:14:17.000Z CYCLE: 9/12 localized +2026-02-06T05:14:27.000Z CYCLE: 9/12 localized +2026-02-06T05:14:37.000Z CYCLE: 9/12 localized +2026-02-06T05:14:47.000Z CYCLE: 9/12 localized +2026-02-06T05:14:57.000Z CYCLE: 9/12 localized +2026-02-06T05:15:07.000Z CYCLE: 9/12 localized +2026-02-06T05:15:17.000Z CYCLE: 9/12 localized +2026-02-06T05:15:27.000Z CYCLE: 9/12 localized +2026-02-06T05:15:37.000Z CYCLE: 9/12 localized +2026-02-06T05:15:47.000Z CYCLE: 9/12 localized +2026-02-06T05:15:57.000Z CYCLE: 9/12 localized +2026-02-06T05:16:07.000Z CYCLE: 9/12 localized +2026-02-06T05:16:18.000Z CYCLE: 9/12 localized +2026-02-06T05:16:28.000Z CYCLE: 9/12 localized +2026-02-06T05:16:38.000Z CYCLE: 9/12 localized +2026-02-06T05:16:48.000Z CYCLE: 9/12 localized +2026-02-06T05:16:58.000Z CYCLE: 9/12 localized +2026-02-06T05:17:08.000Z CYCLE: 9/12 localized +2026-02-06T05:17:18.000Z CYCLE: 9/12 localized +2026-02-06T05:17:28.000Z CYCLE: 9/12 localized +2026-02-06T05:17:38.000Z CYCLE: 9/12 localized +2026-02-06T05:17:48.000Z CYCLE: 9/12 localized +2026-02-06T05:17:58.000Z CYCLE: 9/12 localized +2026-02-06T05:18:08.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:18:08.000Z CYCLE: 8/12 localized +2026-02-06T05:18:18.000Z CYCLE: 9/12 localized +2026-02-06T05:18:28.000Z CYCLE: 9/12 localized +2026-02-06T05:18:38.000Z CYCLE: 9/12 localized +2026-02-06T05:18:49.000Z CYCLE: 9/12 localized +2026-02-06T05:18:59.000Z CYCLE: 9/12 localized +2026-02-06T05:19:09.000Z CYCLE: 9/12 localized +2026-02-06T05:19:19.000Z CYCLE: 9/12 localized +2026-02-06T05:19:29.000Z CYCLE: 9/12 localized +2026-02-06T05:19:39.000Z CYCLE: 9/12 localized +2026-02-06T05:19:49.000Z CYCLE: 9/12 localized +2026-02-06T05:19:59.000Z CYCLE: 9/12 localized +2026-02-06T05:20:09.000Z CYCLE: 9/12 localized +2026-02-06T05:20:19.000Z CYCLE: 9/12 localized +2026-02-06T05:20:29.000Z CYCLE: 9/12 localized +2026-02-06T05:20:39.000Z CYCLE: 9/12 localized +2026-02-06T05:20:49.000Z CYCLE: 9/12 localized +2026-02-06T05:20:59.000Z CYCLE: 9/12 localized +2026-02-06T05:21:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:21:09.000Z CYCLE: 8/12 localized +2026-02-06T05:21:20.000Z CYCLE: 9/12 localized +2026-02-06T05:21:30.000Z CYCLE: 9/12 localized +2026-02-06T05:21:40.000Z CYCLE: 9/12 localized +2026-02-06T05:21:50.000Z CYCLE: 9/12 localized +2026-02-06T05:22:00.000Z CYCLE: 9/12 localized +2026-02-06T05:22:10.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:22:10.000Z CYCLE: 8/12 localized +2026-02-06T05:22:20.000Z CYCLE: 9/12 localized +2026-02-06T05:22:30.000Z CYCLE: 9/12 localized +2026-02-06T05:22:40.000Z CYCLE: 9/12 localized +2026-02-06T05:22:50.000Z CYCLE: 9/12 localized +2026-02-06T05:23:00.000Z CYCLE: 9/12 localized +2026-02-06T05:23:10.000Z CYCLE: 9/12 localized +2026-02-06T05:23:20.000Z CYCLE: 9/12 localized +2026-02-06T05:23:30.000Z CYCLE: 9/12 localized +2026-02-06T05:23:40.000Z CYCLE: 9/12 localized +2026-02-06T05:23:51.000Z CYCLE: 9/12 localized +2026-02-06T05:24:01.000Z CYCLE: 9/12 localized +2026-02-06T05:24:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:24:11.000Z CYCLE: 8/12 localized +2026-02-06T05:24:21.000Z CYCLE: 9/12 localized +2026-02-06T05:24:31.000Z CYCLE: 9/12 localized +2026-02-06T05:24:41.000Z CYCLE: 9/12 localized +2026-02-06T05:24:51.000Z CYCLE: 9/12 localized +2026-02-06T05:25:01.000Z CYCLE: 9/12 localized +2026-02-06T05:25:11.000Z CYCLE: 9/12 localized +2026-02-06T05:25:21.000Z CYCLE: 9/12 localized +2026-02-06T05:25:31.000Z CYCLE: 9/12 localized +2026-02-06T05:25:41.000Z CYCLE: 9/12 localized +2026-02-06T05:25:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:25:51.000Z CYCLE: 8/12 localized +2026-02-06T05:26:01.000Z CYCLE: 9/12 localized +2026-02-06T05:26:11.000Z CYCLE: 9/12 localized +2026-02-06T05:26:22.000Z CYCLE: 9/12 localized +2026-02-06T05:26:32.000Z CYCLE: 9/12 localized +2026-02-06T05:26:42.000Z CYCLE: 9/12 localized +2026-02-06T05:26:52.000Z CYCLE: 9/12 localized +2026-02-06T05:27:02.000Z CYCLE: 9/12 localized +2026-02-06T05:27:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:27:12.000Z CYCLE: 8/12 localized +2026-02-06T05:27:23.000Z CYCLE: 9/12 localized +2026-02-06T05:27:33.000Z CYCLE: 9/12 localized +2026-02-06T05:27:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:27:43.000Z CYCLE: 8/12 localized +2026-02-06T05:27:53.000Z CYCLE: 9/12 localized +2026-02-06T05:28:03.000Z CYCLE: 9/12 localized +2026-02-06T05:28:13.000Z CYCLE: 9/12 localized +2026-02-06T05:28:23.000Z CYCLE: 9/12 localized +2026-02-06T05:28:33.000Z CYCLE: 9/12 localized +2026-02-06T05:28:43.000Z CYCLE: 9/12 localized +2026-02-06T05:28:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:28:53.000Z CYCLE: 8/12 localized +2026-02-06T05:29:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:29:04.000Z CYCLE: 8/12 localized +2026-02-06T05:29:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:29:14.000Z CYCLE: 8/12 localized +2026-02-06T05:29:24.000Z CYCLE: 9/12 localized +2026-02-06T05:29:34.000Z CYCLE: 9/12 localized +2026-02-06T05:29:44.000Z CYCLE: 9/12 localized +2026-02-06T05:29:54.000Z CYCLE: 9/12 localized +2026-02-06T05:30:04.000Z CYCLE: 9/12 localized +2026-02-06T05:30:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:30:14.000Z CYCLE: 8/12 localized +2026-02-06T05:30:24.000Z CYCLE: 9/12 localized +2026-02-06T05:30:34.000Z CYCLE: 9/12 localized +2026-02-06T05:30:44.000Z CYCLE: 9/12 localized +2026-02-06T05:30:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:30:54.000Z CYCLE: 8/12 localized +2026-02-06T05:31:04.000Z CYCLE: 9/12 localized +2026-02-06T05:31:14.000Z CYCLE: 9/12 localized +2026-02-06T05:31:24.000Z CYCLE: 9/12 localized +2026-02-06T05:31:34.000Z CYCLE: 9/12 localized +2026-02-06T05:31:45.000Z CYCLE: 9/12 localized +2026-02-06T05:31:55.000Z CYCLE: 9/12 localized +2026-02-06T05:32:05.000Z CYCLE: 9/12 localized +2026-02-06T05:32:15.000Z CYCLE: 9/12 localized +2026-02-06T05:32:25.000Z CYCLE: 9/12 localized +2026-02-06T05:32:35.000Z CYCLE: 9/12 localized +2026-02-06T05:32:45.000Z CYCLE: 9/12 localized +2026-02-06T05:32:55.000Z CYCLE: 9/12 localized +2026-02-06T05:33:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:33:05.000Z CYCLE: 8/12 localized +2026-02-06T05:33:15.000Z CYCLE: 9/12 localized +2026-02-06T05:33:25.000Z CYCLE: 9/12 localized +2026-02-06T05:33:35.000Z CYCLE: 9/12 localized +2026-02-06T05:33:45.000Z CYCLE: 9/12 localized +2026-02-06T05:33:55.000Z CYCLE: 9/12 localized +2026-02-06T05:34:05.000Z CYCLE: 9/12 localized +2026-02-06T05:34:16.000Z CYCLE: 9/12 localized +2026-02-06T05:34:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:34:26.000Z CYCLE: 8/12 localized +2026-02-06T05:34:36.000Z CYCLE: 9/12 localized +2026-02-06T05:34:46.000Z CYCLE: 9/12 localized +2026-02-06T05:34:56.000Z CYCLE: 9/12 localized +2026-02-06T05:35:06.000Z CYCLE: 9/12 localized +2026-02-06T05:35:16.000Z CYCLE: 9/12 localized +2026-02-06T05:35:26.000Z CYCLE: 9/12 localized +2026-02-06T05:35:36.000Z CYCLE: 9/12 localized +2026-02-06T05:35:46.000Z CYCLE: 9/12 localized +2026-02-06T05:35:56.000Z CYCLE: 9/12 localized +2026-02-06T05:36:06.000Z CYCLE: 9/12 localized +2026-02-06T05:36:16.000Z CYCLE: 9/12 localized +2026-02-06T05:36:26.000Z CYCLE: 9/12 localized +2026-02-06T05:36:37.000Z CYCLE: 9/12 localized +2026-02-06T05:36:47.000Z CYCLE: 9/12 localized +2026-02-06T05:36:57.000Z CYCLE: 9/12 localized +2026-02-06T05:37:07.000Z CYCLE: 9/12 localized +2026-02-06T05:37:17.000Z CYCLE: 9/12 localized +2026-02-06T05:37:27.000Z CYCLE: 9/12 localized +2026-02-06T05:37:37.000Z CYCLE: 9/12 localized +2026-02-06T05:37:47.000Z CYCLE: 9/12 localized +2026-02-06T05:37:57.000Z CYCLE: 9/12 localized +2026-02-06T05:38:07.000Z CYCLE: 9/12 localized +2026-02-06T05:38:17.000Z CYCLE: 9/12 localized +2026-02-06T05:38:27.000Z CYCLE: 9/12 localized +2026-02-06T05:38:37.000Z CYCLE: 9/12 localized +2026-02-06T05:38:47.000Z CYCLE: 9/12 localized +2026-02-06T05:38:57.000Z CYCLE: 9/12 localized +2026-02-06T05:39:08.000Z CYCLE: 9/12 localized +2026-02-06T05:39:18.000Z CYCLE: 9/12 localized +2026-02-06T05:39:28.000Z CYCLE: 9/12 localized +2026-02-06T05:39:38.000Z CYCLE: 9/12 localized +2026-02-06T05:39:48.000Z CYCLE: 9/12 localized +2026-02-06T05:39:58.000Z CYCLE: 9/12 localized +2026-02-06T05:40:08.000Z CYCLE: 9/12 localized +2026-02-06T05:40:18.000Z CYCLE: 9/12 localized +2026-02-06T05:40:28.000Z CYCLE: 9/12 localized +2026-02-06T05:40:38.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:40:38.000Z CYCLE: 8/12 localized +2026-02-06T05:40:48.000Z CYCLE: 9/12 localized +2026-02-06T05:40:58.000Z CYCLE: 9/12 localized +2026-02-06T05:41:08.000Z CYCLE: 9/12 localized +2026-02-06T05:41:18.000Z CYCLE: 9/12 localized +2026-02-06T05:41:28.000Z CYCLE: 9/12 localized +2026-02-06T05:41:39.000Z CYCLE: 9/12 localized +2026-02-06T05:41:49.000Z CYCLE: 9/12 localized +2026-02-06T05:41:59.000Z CYCLE: 9/12 localized +2026-02-06T05:42:09.000Z CYCLE: 9/12 localized +2026-02-06T05:42:19.000Z CYCLE: 9/12 localized +2026-02-06T05:42:29.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:42:29.000Z CYCLE: 8/12 localized +2026-02-06T05:42:39.000Z CYCLE: 9/12 localized +2026-02-06T05:42:49.000Z CYCLE: 9/12 localized +2026-02-06T05:42:59.000Z CYCLE: 9/12 localized +2026-02-06T05:43:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:43:09.000Z CYCLE: 8/12 localized +2026-02-06T05:43:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:43:19.000Z CYCLE: 8/12 localized +2026-02-06T05:43:29.000Z CYCLE: 9/12 localized +2026-02-06T05:43:39.000Z CYCLE: 9/12 localized +2026-02-06T05:43:49.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:43:49.000Z CYCLE: 8/12 localized +2026-02-06T05:43:59.000Z CYCLE: 9/12 localized +2026-02-06T05:44:10.000Z CYCLE: 9/12 localized +2026-02-06T05:44:20.000Z CYCLE: 9/12 localized +2026-02-06T05:44:30.000Z CYCLE: 9/12 localized +2026-02-06T05:44:40.000Z CYCLE: 9/12 localized +2026-02-06T05:44:50.000Z CYCLE: 9/12 localized +2026-02-06T05:45:00.000Z CYCLE: 9/12 localized +2026-02-06T05:45:10.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:45:10.000Z CYCLE: 8/12 localized +2026-02-06T05:45:20.000Z CYCLE: 9/12 localized +2026-02-06T05:45:30.000Z CYCLE: 9/12 localized +2026-02-06T05:45:40.000Z CYCLE: 9/12 localized +2026-02-06T05:45:50.000Z CYCLE: 9/12 localized +2026-02-06T05:46:00.000Z CYCLE: 9/12 localized +2026-02-06T05:46:10.000Z CYCLE: 9/12 localized +2026-02-06T05:46:20.000Z CYCLE: 9/12 localized +2026-02-06T05:46:30.000Z CYCLE: 9/12 localized +2026-02-06T05:46:41.000Z CYCLE: 9/12 localized +2026-02-06T05:46:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:46:51.000Z CYCLE: 8/12 localized +2026-02-06T05:47:01.000Z CYCLE: 9/12 localized +2026-02-06T05:47:11.000Z CYCLE: 9/12 localized +2026-02-06T05:47:21.000Z CYCLE: 9/12 localized +2026-02-06T05:47:31.000Z CYCLE: 9/12 localized +2026-02-06T05:47:41.000Z CYCLE: 9/12 localized +2026-02-06T05:47:51.000Z CYCLE: 9/12 localized +2026-02-06T05:48:01.000Z CYCLE: 9/12 localized +2026-02-06T05:48:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:48:11.000Z CYCLE: 8/12 localized +2026-02-06T05:48:21.000Z CYCLE: 9/12 localized +2026-02-06T05:48:31.000Z CYCLE: 9/12 localized +2026-02-06T05:48:41.000Z CYCLE: 9/12 localized +2026-02-06T05:48:52.000Z CYCLE: 9/12 localized +2026-02-06T05:49:02.000Z CYCLE: 9/12 localized +2026-02-06T05:49:12.000Z CYCLE: 9/12 localized +2026-02-06T05:49:22.000Z CYCLE: 9/12 localized +2026-02-06T05:49:32.000Z CYCLE: 9/12 localized +2026-02-06T05:49:42.000Z CYCLE: 9/12 localized +2026-02-06T05:49:52.000Z CYCLE: 9/12 localized +2026-02-06T05:50:02.000Z CYCLE: 9/12 localized +2026-02-06T05:50:12.000Z CYCLE: 9/12 localized +2026-02-06T05:50:22.000Z CYCLE: 9/12 localized +2026-02-06T05:50:32.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:50:32.000Z CYCLE: 8/12 localized +2026-02-06T05:50:42.000Z CYCLE: 9/12 localized +2026-02-06T05:50:52.000Z CYCLE: 9/12 localized +2026-02-06T05:51:02.000Z CYCLE: 9/12 localized +2026-02-06T05:51:13.000Z CYCLE: 9/12 localized +2026-02-06T05:51:23.000Z CYCLE: 9/12 localized +2026-02-06T05:51:33.000Z CYCLE: 9/12 localized +2026-02-06T05:51:43.000Z CYCLE: 9/12 localized +2026-02-06T05:51:53.000Z CYCLE: 9/12 localized +2026-02-06T05:52:03.000Z CYCLE: 9/12 localized +2026-02-06T05:52:13.000Z CYCLE: 9/12 localized +2026-02-06T05:52:23.000Z CYCLE: 9/12 localized +2026-02-06T05:52:33.000Z CYCLE: 9/12 localized +2026-02-06T05:52:43.000Z CYCLE: 9/12 localized +2026-02-06T05:52:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:52:53.000Z CYCLE: 8/12 localized +2026-02-06T05:53:03.000Z CYCLE: 9/12 localized +2026-02-06T05:53:13.000Z CYCLE: 9/12 localized +2026-02-06T05:53:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:53:23.000Z CYCLE: 8/12 localized +2026-02-06T05:53:34.000Z CYCLE: 9/12 localized +2026-02-06T05:53:44.000Z CYCLE: 9/12 localized +2026-02-06T05:53:54.000Z CYCLE: 9/12 localized +2026-02-06T05:54:04.000Z CYCLE: 9/12 localized +2026-02-06T05:54:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:54:14.000Z CYCLE: 8/12 localized +2026-02-06T05:54:24.000Z CYCLE: 9/12 localized +2026-02-06T05:54:34.000Z CYCLE: 9/12 localized +2026-02-06T05:54:44.000Z CYCLE: 9/12 localized +2026-02-06T05:54:54.000Z CYCLE: 9/12 localized +2026-02-06T05:55:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:55:04.000Z CYCLE: 8/12 localized +2026-02-06T05:55:14.000Z CYCLE: 9/12 localized +2026-02-06T05:55:24.000Z CYCLE: 9/12 localized +2026-02-06T05:55:34.000Z CYCLE: 9/12 localized +2026-02-06T05:55:44.000Z CYCLE: 9/12 localized +2026-02-06T05:55:54.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:55:54.000Z CYCLE: 8/12 localized +2026-02-06T05:56:04.000Z CYCLE: 9/12 localized +2026-02-06T05:56:15.000Z CYCLE: 9/12 localized +2026-02-06T05:56:25.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:56:25.000Z CYCLE: 8/12 localized +2026-02-06T05:56:35.000Z CYCLE: 9/12 localized +2026-02-06T05:56:45.000Z CYCLE: 9/12 localized +2026-02-06T05:56:55.000Z CYCLE: 9/12 localized +2026-02-06T05:57:05.000Z CYCLE: 9/12 localized +2026-02-06T05:57:15.000Z CYCLE: 9/12 localized +2026-02-06T05:57:25.000Z CYCLE: 9/12 localized +2026-02-06T05:57:35.000Z CYCLE: 9/12 localized +2026-02-06T05:57:45.000Z CYCLE: 9/12 localized +2026-02-06T05:57:55.000Z CYCLE: 9/12 localized +2026-02-06T05:58:05.000Z CYCLE: 9/12 localized +2026-02-06T05:58:15.000Z CYCLE: 9/12 localized +2026-02-06T05:58:25.000Z CYCLE: 9/12 localized +2026-02-06T05:58:35.000Z CYCLE: 9/12 localized +2026-02-06T05:58:46.000Z CYCLE: 9/12 localized +2026-02-06T05:58:56.000Z CYCLE: 9/12 localized +2026-02-06T05:59:06.000Z CYCLE: 9/12 localized +2026-02-06T05:59:16.000Z CYCLE: 9/12 localized +2026-02-06T05:59:26.000Z CYCLE: 9/12 localized +2026-02-06T05:59:36.000Z CYCLE: 9/12 localized +2026-02-06T05:59:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T05:59:46.000Z CYCLE: 8/12 localized +2026-02-06T05:59:56.000Z CYCLE: 9/12 localized +2026-02-06T06:00:06.000Z CYCLE: 9/12 localized +2026-02-06T06:00:16.000Z CYCLE: 9/12 localized +2026-02-06T06:00:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:00:26.000Z CYCLE: 8/12 localized +2026-02-06T06:00:36.000Z CYCLE: 9/12 localized +2026-02-06T06:00:46.000Z CYCLE: 9/12 localized +2026-02-06T06:00:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:00:56.000Z CYCLE: 8/12 localized +2026-02-06T06:01:06.000Z CYCLE: 9/12 localized +2026-02-06T06:01:17.000Z CYCLE: 9/12 localized +2026-02-06T06:01:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:01:27.000Z CYCLE: 8/12 localized +2026-02-06T06:01:37.000Z CYCLE: 9/12 localized +2026-02-06T06:01:47.000Z CYCLE: 9/12 localized +2026-02-06T06:01:57.000Z CYCLE: 9/12 localized +2026-02-06T06:02:07.000Z CYCLE: 9/12 localized +2026-02-06T06:02:17.000Z CYCLE: 9/12 localized +2026-02-06T06:02:27.000Z CYCLE: 9/12 localized +2026-02-06T06:02:37.000Z CYCLE: 9/12 localized +2026-02-06T06:02:47.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:02:47.000Z CYCLE: 8/12 localized +2026-02-06T06:02:57.000Z CYCLE: 9/12 localized +2026-02-06T06:03:07.000Z CYCLE: 9/12 localized +2026-02-06T06:03:17.000Z CYCLE: 9/12 localized +2026-02-06T06:03:27.000Z CYCLE: 9/12 localized +2026-02-06T06:03:37.000Z CYCLE: 9/12 localized +2026-02-06T06:03:48.000Z CYCLE: 9/12 localized +2026-02-06T06:03:58.000Z CYCLE: 9/12 localized +2026-02-06T06:04:08.000Z CYCLE: 9/12 localized +2026-02-06T06:04:18.000Z CYCLE: 9/12 localized +2026-02-06T06:04:28.000Z CYCLE: 9/12 localized +2026-02-06T06:04:38.000Z CYCLE: 9/12 localized +2026-02-06T06:04:48.000Z CYCLE: 9/12 localized +2026-02-06T06:04:58.000Z CYCLE: 9/12 localized +2026-02-06T06:05:08.000Z CYCLE: 9/12 localized +2026-02-06T06:05:18.000Z CYCLE: 9/12 localized +2026-02-06T06:05:28.000Z CYCLE: 9/12 localized +2026-02-06T06:05:38.000Z CYCLE: 9/12 localized +2026-02-06T06:05:48.000Z CYCLE: 9/12 localized +2026-02-06T06:05:59.000Z CYCLE: 9/12 localized +2026-02-06T06:06:09.000Z CYCLE: 9/12 localized +2026-02-06T06:06:19.000Z CYCLE: 9/12 localized +2026-02-06T06:06:29.000Z CYCLE: 9/12 localized +2026-02-06T06:06:39.000Z CYCLE: 9/12 localized +2026-02-06T06:06:49.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:06:49.000Z CYCLE: 8/12 localized +2026-02-06T06:06:59.000Z CYCLE: 9/12 localized +2026-02-06T06:07:09.000Z CYCLE: 9/12 localized +2026-02-06T06:07:19.000Z CYCLE: 9/12 localized +2026-02-06T06:07:29.000Z CYCLE: 9/12 localized +2026-02-06T06:07:39.000Z CYCLE: 9/12 localized +2026-02-06T06:07:49.000Z CYCLE: 9/12 localized +2026-02-06T06:07:59.000Z CYCLE: 9/12 localized +2026-02-06T06:08:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:08:09.000Z CYCLE: 8/12 localized +2026-02-06T06:08:19.000Z CYCLE: 9/12 localized +2026-02-06T06:08:30.000Z CYCLE: 9/12 localized +2026-02-06T06:08:40.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:08:40.000Z CYCLE: 8/12 localized +2026-02-06T06:08:50.000Z CYCLE: 9/12 localized +2026-02-06T06:09:00.000Z CYCLE: 9/12 localized +2026-02-06T06:09:10.000Z CYCLE: 9/12 localized +2026-02-06T06:09:20.000Z CYCLE: 9/12 localized +2026-02-06T06:09:30.000Z CYCLE: 9/12 localized +2026-02-06T06:09:40.000Z CYCLE: 9/12 localized +2026-02-06T06:09:50.000Z CYCLE: 9/12 localized +2026-02-06T06:10:00.000Z CYCLE: 9/12 localized +2026-02-06T06:10:10.000Z CYCLE: 9/12 localized +2026-02-06T06:10:20.000Z CYCLE: 9/12 localized +2026-02-06T06:10:30.000Z CYCLE: 9/12 localized +2026-02-06T06:10:40.000Z CYCLE: 9/12 localized +2026-02-06T06:10:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:10:50.000Z CYCLE: 8/12 localized +2026-02-06T06:11:00.000Z CYCLE: 9/12 localized +2026-02-06T06:11:11.000Z CYCLE: 9/12 localized +2026-02-06T06:11:21.000Z CYCLE: 9/12 localized +2026-02-06T06:11:31.000Z CYCLE: 9/12 localized +2026-02-06T06:11:41.000Z CYCLE: 9/12 localized +2026-02-06T06:11:51.000Z CYCLE: 9/12 localized +2026-02-06T06:12:01.000Z CYCLE: 9/12 localized +2026-02-06T06:12:11.000Z CYCLE: 9/12 localized +2026-02-06T06:12:21.000Z CYCLE: 9/12 localized +2026-02-06T06:12:31.000Z CYCLE: 9/12 localized +2026-02-06T06:12:41.000Z CYCLE: 9/12 localized +2026-02-06T06:12:51.000Z CYCLE: 9/12 localized +2026-02-06T06:13:01.000Z CYCLE: 8/12 localized +2026-02-06T06:13:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:13:11.000Z CYCLE: 8/12 localized +2026-02-06T06:13:21.000Z CYCLE: 9/12 localized +2026-02-06T06:13:32.000Z CYCLE: 9/12 localized +2026-02-06T06:13:42.000Z CYCLE: 9/12 localized +2026-02-06T06:13:52.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:13:52.000Z CYCLE: 8/12 localized +2026-02-06T06:14:02.000Z CYCLE: 9/12 localized +2026-02-06T06:14:12.000Z CYCLE: 9/12 localized +2026-02-06T06:14:22.000Z CYCLE: 9/12 localized +2026-02-06T06:14:32.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:14:32.000Z CYCLE: 8/12 localized +2026-02-06T06:14:42.000Z CYCLE: 9/12 localized +2026-02-06T06:14:52.000Z CYCLE: 9/12 localized +2026-02-06T06:15:02.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:15:02.000Z CYCLE: 8/12 localized +2026-02-06T06:15:12.000Z CYCLE: 9/12 localized +2026-02-06T06:15:22.000Z CYCLE: 9/12 localized +2026-02-06T06:15:32.000Z CYCLE: 9/12 localized +2026-02-06T06:15:42.000Z CYCLE: 9/12 localized +2026-02-06T06:15:52.000Z CYCLE: 9/12 localized +2026-02-06T06:16:03.000Z CYCLE: 9/12 localized +2026-02-06T06:16:13.000Z CYCLE: 9/12 localized +2026-02-06T06:16:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:16:23.000Z CYCLE: 8/12 localized +2026-02-06T06:16:33.000Z CYCLE: 9/12 localized +2026-02-06T06:16:43.000Z CYCLE: 9/12 localized +2026-02-06T06:16:53.000Z CYCLE: 9/12 localized +2026-02-06T06:17:03.000Z CYCLE: 9/12 localized +2026-02-06T06:17:13.000Z CYCLE: 9/12 localized +2026-02-06T06:17:23.000Z CYCLE: 9/12 localized +2026-02-06T06:17:33.000Z CYCLE: 9/12 localized +2026-02-06T06:17:43.000Z CYCLE: 8/12 localized +2026-02-06T06:17:53.000Z CYCLE: 9/12 localized +2026-02-06T06:18:03.000Z CYCLE: 9/12 localized +2026-02-06T06:18:13.000Z CYCLE: 9/12 localized +2026-02-06T06:18:23.000Z CYCLE: 9/12 localized +2026-02-06T06:18:34.000Z CYCLE: 9/12 localized +2026-02-06T06:18:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:18:44.000Z CYCLE: 8/12 localized +2026-02-06T06:18:54.000Z CYCLE: 9/12 localized +2026-02-06T06:19:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:19:04.000Z CYCLE: 8/12 localized +2026-02-06T06:19:14.000Z CYCLE: 9/12 localized +2026-02-06T06:19:24.000Z CYCLE: 9/12 localized +2026-02-06T06:19:34.000Z CYCLE: 9/12 localized +2026-02-06T06:19:44.000Z CYCLE: 9/12 localized +2026-02-06T06:19:54.000Z CYCLE: 9/12 localized +2026-02-06T06:20:04.000Z CYCLE: 9/12 localized +2026-02-06T06:20:14.000Z CYCLE: 9/12 localized +2026-02-06T06:20:24.000Z CYCLE: 9/12 localized +2026-02-06T06:20:34.000Z CYCLE: 9/12 localized +2026-02-06T06:20:44.000Z CYCLE: 9/12 localized +2026-02-06T06:20:54.000Z CYCLE: 9/12 localized +2026-02-06T06:21:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:21:05.000Z CYCLE: 8/12 localized +2026-02-06T06:21:15.000Z CYCLE: 9/12 localized +2026-02-06T06:21:25.000Z CYCLE: 9/12 localized +2026-02-06T06:21:35.000Z CYCLE: 9/12 localized +2026-02-06T06:21:45.000Z CYCLE: 9/12 localized +2026-02-06T06:21:55.000Z CYCLE: 9/12 localized +2026-02-06T06:22:05.000Z CYCLE: 9/12 localized +2026-02-06T06:22:15.000Z CYCLE: 9/12 localized +2026-02-06T06:22:25.000Z CYCLE: 9/12 localized +2026-02-06T06:22:35.000Z CYCLE: 9/12 localized +2026-02-06T06:22:45.000Z CYCLE: 9/12 localized +2026-02-06T06:22:55.000Z CYCLE: 9/12 localized +2026-02-06T06:23:05.000Z CYCLE: 9/12 localized +2026-02-06T06:23:15.000Z CYCLE: 9/12 localized +2026-02-06T06:23:26.000Z CYCLE: 9/12 localized +2026-02-06T06:23:36.000Z CYCLE: 9/12 localized +2026-02-06T06:23:46.000Z CYCLE: 9/12 localized +2026-02-06T06:23:56.000Z CYCLE: 9/12 localized +2026-02-06T06:24:06.000Z CYCLE: 9/12 localized +2026-02-06T06:24:16.000Z CYCLE: 9/12 localized +2026-02-06T06:24:26.000Z CYCLE: 9/12 localized +2026-02-06T06:24:36.000Z CYCLE: 9/12 localized +2026-02-06T06:24:46.000Z CYCLE: 9/12 localized +2026-02-06T06:24:56.000Z CYCLE: 9/12 localized +2026-02-06T06:25:06.000Z CYCLE: 9/12 localized +2026-02-06T06:25:16.000Z CYCLE: 9/12 localized +2026-02-06T06:25:26.000Z CYCLE: 9/12 localized +2026-02-06T06:25:36.000Z CYCLE: 9/12 localized +2026-02-06T06:25:46.000Z CYCLE: 9/12 localized +2026-02-06T06:25:57.000Z CYCLE: 9/12 localized +2026-02-06T06:26:07.000Z CYCLE: 9/12 localized +2026-02-06T06:26:17.000Z CYCLE: 9/12 localized +2026-02-06T06:26:27.000Z CYCLE: 9/12 localized +2026-02-06T06:26:37.000Z CYCLE: 9/12 localized +2026-02-06T06:26:47.000Z CYCLE: 9/12 localized +2026-02-06T06:26:57.000Z CYCLE: 9/12 localized +2026-02-06T06:27:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:27:07.000Z CYCLE: 8/12 localized +2026-02-06T06:27:17.000Z CYCLE: 9/12 localized +2026-02-06T06:27:27.000Z CYCLE: 9/12 localized +2026-02-06T06:27:37.000Z CYCLE: 9/12 localized +2026-02-06T06:27:47.000Z CYCLE: 9/12 localized +2026-02-06T06:27:57.000Z CYCLE: 9/12 localized +2026-02-06T06:28:07.000Z CYCLE: 9/12 localized +2026-02-06T06:28:17.000Z CYCLE: 9/12 localized +2026-02-06T06:28:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:28:27.000Z CYCLE: 8/12 localized +2026-02-06T06:28:38.000Z CYCLE: 9/12 localized +2026-02-06T06:28:48.000Z CYCLE: 9/12 localized +2026-02-06T06:28:58.000Z CYCLE: 9/12 localized +2026-02-06T06:29:08.000Z CYCLE: 9/12 localized +2026-02-06T06:29:18.000Z CYCLE: 9/12 localized +2026-02-06T06:29:28.000Z CYCLE: 9/12 localized +2026-02-06T06:29:38.000Z CYCLE: 9/12 localized +2026-02-06T06:29:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:29:48.000Z CYCLE: 8/12 localized +2026-02-06T06:29:58.000Z CYCLE: 9/12 localized +2026-02-06T06:30:08.000Z CYCLE: 9/12 localized +2026-02-06T06:30:18.000Z CYCLE: 9/12 localized +2026-02-06T06:30:28.000Z CYCLE: 9/12 localized +2026-02-06T06:30:38.000Z CYCLE: 9/12 localized +2026-02-06T06:30:48.000Z CYCLE: 9/12 localized +2026-02-06T06:30:58.000Z CYCLE: 9/12 localized +2026-02-06T06:31:09.000Z CYCLE: 9/12 localized +2026-02-06T06:31:19.000Z CYCLE: 9/12 localized +2026-02-06T06:31:29.000Z CYCLE: 9/12 localized +2026-02-06T06:31:39.000Z CYCLE: 9/12 localized +2026-02-06T06:31:49.000Z CYCLE: 9/12 localized +2026-02-06T06:31:59.000Z CYCLE: 9/12 localized +2026-02-06T06:32:09.000Z CYCLE: 9/12 localized +2026-02-06T06:32:19.000Z CYCLE: 9/12 localized +2026-02-06T06:32:29.000Z CYCLE: 9/12 localized +2026-02-06T06:32:39.000Z CYCLE: 9/12 localized +2026-02-06T06:32:49.000Z CYCLE: 9/12 localized +2026-02-06T06:32:59.000Z CYCLE: 9/12 localized +2026-02-06T06:33:09.000Z CYCLE: 9/12 localized +2026-02-06T06:33:19.000Z CYCLE: 9/12 localized +2026-02-06T06:33:29.000Z CYCLE: 9/12 localized +2026-02-06T06:33:40.000Z CYCLE: 9/12 localized +2026-02-06T06:33:50.000Z CYCLE: 9/12 localized +2026-02-06T06:34:00.000Z CYCLE: 9/12 localized +2026-02-06T06:34:10.000Z CYCLE: 9/12 localized +2026-02-06T06:34:20.000Z CYCLE: 9/12 localized +2026-02-06T06:34:30.000Z CYCLE: 9/12 localized +2026-02-06T06:34:40.000Z CYCLE: 9/12 localized +2026-02-06T06:34:50.000Z CYCLE: 9/12 localized +2026-02-06T06:35:00.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:35:00.000Z CYCLE: 8/12 localized +2026-02-06T06:35:10.000Z CYCLE: 9/12 localized +2026-02-06T06:35:20.000Z CYCLE: 9/12 localized +2026-02-06T06:35:30.000Z CYCLE: 9/12 localized +2026-02-06T06:35:40.000Z CYCLE: 9/12 localized +2026-02-06T06:35:50.000Z CYCLE: 9/12 localized +2026-02-06T06:36:00.000Z CYCLE: 9/12 localized +2026-02-06T06:36:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:36:11.000Z CYCLE: 8/12 localized +2026-02-06T06:36:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:36:21.000Z CYCLE: 8/12 localized +2026-02-06T06:36:31.000Z CYCLE: 9/12 localized +2026-02-06T06:36:41.000Z CYCLE: 9/12 localized +2026-02-06T06:36:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:36:51.000Z CYCLE: 8/12 localized +2026-02-06T06:37:01.000Z CYCLE: 9/12 localized +2026-02-06T06:37:11.000Z CYCLE: 9/12 localized +2026-02-06T06:37:21.000Z CYCLE: 9/12 localized +2026-02-06T06:37:31.000Z CYCLE: 9/12 localized +2026-02-06T06:37:41.000Z CYCLE: 9/12 localized +2026-02-06T06:37:51.000Z CYCLE: 9/12 localized +2026-02-06T06:38:01.000Z CYCLE: 9/12 localized +2026-02-06T06:38:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:38:11.000Z CYCLE: 8/12 localized +2026-02-06T06:38:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:38:21.000Z CYCLE: 8/12 localized +2026-02-06T06:38:32.000Z CYCLE: 9/12 localized +2026-02-06T06:38:42.000Z CYCLE: 9/12 localized +2026-02-06T06:38:52.000Z CYCLE: 9/12 localized +2026-02-06T06:39:02.000Z CYCLE: 9/12 localized +2026-02-06T06:39:12.000Z CYCLE: 9/12 localized +2026-02-06T06:39:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:39:22.000Z CYCLE: 8/12 localized +2026-02-06T06:39:32.000Z CYCLE: 9/12 localized +2026-02-06T06:39:42.000Z CYCLE: 9/12 localized +2026-02-06T06:39:52.000Z CYCLE: 9/12 localized +2026-02-06T06:40:02.000Z CYCLE: 9/12 localized +2026-02-06T06:40:12.000Z CYCLE: 9/12 localized +2026-02-06T06:40:22.000Z CYCLE: 9/12 localized +2026-02-06T06:40:32.000Z CYCLE: 9/12 localized +2026-02-06T06:40:42.000Z CYCLE: 9/12 localized +2026-02-06T06:40:53.000Z CYCLE: 9/12 localized +2026-02-06T06:41:03.000Z CYCLE: 9/12 localized +2026-02-06T06:41:13.000Z CYCLE: 9/12 localized +2026-02-06T06:41:23.000Z CYCLE: 9/12 localized +2026-02-06T06:41:33.000Z CYCLE: 9/12 localized +2026-02-06T06:41:43.000Z CYCLE: 9/12 localized +2026-02-06T06:41:53.000Z CYCLE: 9/12 localized +2026-02-06T06:42:03.000Z CYCLE: 9/12 localized +2026-02-06T06:42:13.000Z CYCLE: 9/12 localized +2026-02-06T06:42:23.000Z CYCLE: 9/12 localized +2026-02-06T06:42:33.000Z CYCLE: 9/12 localized +2026-02-06T06:42:43.000Z CYCLE: 9/12 localized +2026-02-06T06:42:53.000Z CYCLE: 9/12 localized +2026-02-06T06:43:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:43:03.000Z CYCLE: 8/12 localized +2026-02-06T06:43:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:43:14.000Z CYCLE: 8/12 localized +2026-02-06T06:43:24.000Z CYCLE: 9/12 localized +2026-02-06T06:43:34.000Z CYCLE: 9/12 localized +2026-02-06T06:43:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:43:44.000Z CYCLE: 8/12 localized +2026-02-06T06:43:54.000Z CYCLE: 9/12 localized +2026-02-06T06:44:04.000Z CYCLE: 9/12 localized +2026-02-06T06:44:14.000Z CYCLE: 9/12 localized +2026-02-06T06:44:24.000Z CYCLE: 9/12 localized +2026-02-06T06:44:34.000Z CYCLE: 9/12 localized +2026-02-06T06:44:44.000Z CYCLE: 9/12 localized +2026-02-06T06:44:54.000Z CYCLE: 9/12 localized +2026-02-06T06:45:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:45:04.000Z CYCLE: 8/12 localized +2026-02-06T06:45:14.000Z CYCLE: 9/12 localized +2026-02-06T06:45:24.000Z CYCLE: 9/12 localized +2026-02-06T06:45:35.000Z CYCLE: 9/12 localized +2026-02-06T06:45:45.000Z CYCLE: 9/12 localized +2026-02-06T06:45:55.000Z CYCLE: 9/12 localized +2026-02-06T06:46:05.000Z CYCLE: 9/12 localized +2026-02-06T06:46:15.000Z CYCLE: 9/12 localized +2026-02-06T06:46:25.000Z CYCLE: 9/12 localized +2026-02-06T06:46:35.000Z CYCLE: 9/12 localized +2026-02-06T06:46:45.000Z CYCLE: 9/12 localized +2026-02-06T06:46:55.000Z CYCLE: 9/12 localized +2026-02-06T06:47:05.000Z CYCLE: 9/12 localized +2026-02-06T06:47:15.000Z CYCLE: 9/12 localized +2026-02-06T06:47:25.000Z CYCLE: 9/12 localized +2026-02-06T06:47:35.000Z CYCLE: 9/12 localized +2026-02-06T06:47:45.000Z CYCLE: 9/12 localized +2026-02-06T06:47:55.000Z CYCLE: 9/12 localized +2026-02-06T06:48:06.000Z CYCLE: 9/12 localized +2026-02-06T06:48:16.000Z CYCLE: 9/12 localized +2026-02-06T06:48:26.000Z CYCLE: 9/12 localized +2026-02-06T06:48:36.000Z CYCLE: 9/12 localized +2026-02-06T06:48:46.000Z CYCLE: 9/12 localized +2026-02-06T06:48:56.000Z CYCLE: 9/12 localized +2026-02-06T06:49:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:49:06.000Z CYCLE: 8/12 localized +2026-02-06T06:49:16.000Z CYCLE: 9/12 localized +2026-02-06T06:49:26.000Z CYCLE: 9/12 localized +2026-02-06T06:49:36.000Z CYCLE: 9/12 localized +2026-02-06T06:49:46.000Z CYCLE: 9/12 localized +2026-02-06T06:49:56.000Z CYCLE: 9/12 localized +2026-02-06T06:50:06.000Z CYCLE: 9/12 localized +2026-02-06T06:50:17.000Z CYCLE: 9/12 localized +2026-02-06T06:50:27.000Z CYCLE: 9/12 localized +2026-02-06T06:50:37.000Z CYCLE: 9/12 localized +2026-02-06T06:50:47.000Z CYCLE: 9/12 localized +2026-02-06T06:50:57.000Z CYCLE: 9/12 localized +2026-02-06T06:51:07.000Z CYCLE: 9/12 localized +2026-02-06T06:51:17.000Z CYCLE: 9/12 localized +2026-02-06T06:51:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:51:27.000Z CYCLE: 8/12 localized +2026-02-06T06:51:37.000Z CYCLE: 9/12 localized +2026-02-06T06:51:47.000Z CYCLE: 9/12 localized +2026-02-06T06:51:57.000Z CYCLE: 9/12 localized +2026-02-06T06:52:07.000Z CYCLE: 9/12 localized +2026-02-06T06:52:17.000Z CYCLE: 9/12 localized +2026-02-06T06:52:27.000Z CYCLE: 9/12 localized +2026-02-06T06:52:38.000Z CYCLE: 9/12 localized +2026-02-06T06:52:48.000Z CYCLE: 9/12 localized +2026-02-06T06:52:58.000Z CYCLE: 9/12 localized +2026-02-06T06:53:08.000Z CYCLE: 9/12 localized +2026-02-06T06:53:18.000Z CYCLE: 9/12 localized +2026-02-06T06:53:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:53:28.000Z CYCLE: 8/12 localized +2026-02-06T06:53:38.000Z CYCLE: 9/12 localized +2026-02-06T06:53:48.000Z CYCLE: 9/12 localized +2026-02-06T06:53:58.000Z CYCLE: 9/12 localized +2026-02-06T06:54:08.000Z CYCLE: 9/12 localized +2026-02-06T06:54:18.000Z CYCLE: 9/12 localized +2026-02-06T06:54:28.000Z CYCLE: 9/12 localized +2026-02-06T06:54:38.000Z CYCLE: 9/12 localized +2026-02-06T06:54:48.000Z CYCLE: 9/12 localized +2026-02-06T06:54:58.000Z CYCLE: 9/12 localized +2026-02-06T06:55:09.000Z CYCLE: 9/12 localized +2026-02-06T06:55:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:55:19.000Z CYCLE: 8/12 localized +2026-02-06T06:55:29.000Z CYCLE: 9/12 localized +2026-02-06T06:55:39.000Z CYCLE: 9/12 localized +2026-02-06T06:55:49.000Z CYCLE: 9/12 localized +2026-02-06T06:55:59.000Z CYCLE: 9/12 localized +2026-02-06T06:56:09.000Z CYCLE: 9/12 localized +2026-02-06T06:56:19.000Z CYCLE: 9/12 localized +2026-02-06T06:56:29.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T06:56:29.000Z CYCLE: 8/12 localized +2026-02-06T06:56:39.000Z CYCLE: 9/12 localized +2026-02-06T06:56:49.000Z CYCLE: 9/12 localized +2026-02-06T06:56:59.000Z CYCLE: 9/12 localized +2026-02-06T06:57:09.000Z CYCLE: 9/12 localized +2026-02-06T06:57:20.000Z CYCLE: 9/12 localized +2026-02-06T06:57:30.000Z CYCLE: 9/12 localized +2026-02-06T06:57:40.000Z CYCLE: 9/12 localized +2026-02-06T06:57:50.000Z CYCLE: 9/12 localized +2026-02-06T06:58:00.000Z CYCLE: 9/12 localized +2026-02-06T06:58:10.000Z CYCLE: 9/12 localized +2026-02-06T06:58:20.000Z CYCLE: 9/12 localized +2026-02-06T06:58:30.000Z CYCLE: 9/12 localized +2026-02-06T06:58:40.000Z CYCLE: 9/12 localized +2026-02-06T06:58:50.000Z CYCLE: 9/12 localized +2026-02-06T06:59:00.000Z CYCLE: 9/12 localized +2026-02-06T06:59:10.000Z CYCLE: 9/12 localized +2026-02-06T06:59:20.000Z CYCLE: 9/12 localized +2026-02-06T06:59:30.000Z CYCLE: 9/12 localized +2026-02-06T06:59:41.000Z CYCLE: 9/12 localized +2026-02-06T06:59:51.000Z CYCLE: 9/12 localized +2026-02-06T07:00:01.000Z CYCLE: 9/12 localized +2026-02-06T07:00:11.000Z CYCLE: 9/12 localized +2026-02-06T07:00:21.000Z CYCLE: 9/12 localized +2026-02-06T07:00:31.000Z CYCLE: 9/12 localized +2026-02-06T07:00:41.000Z CYCLE: 9/12 localized +2026-02-06T07:00:51.000Z CYCLE: 9/12 localized +2026-02-06T07:01:01.000Z CYCLE: 9/12 localized +2026-02-06T07:01:11.000Z CYCLE: 9/12 localized +2026-02-06T07:01:21.000Z CYCLE: 9/12 localized +2026-02-06T07:01:31.000Z CYCLE: 9/12 localized +2026-02-06T07:01:41.000Z CYCLE: 9/12 localized +2026-02-06T07:01:51.000Z CYCLE: 9/12 localized +2026-02-06T07:02:02.000Z CYCLE: 9/12 localized +2026-02-06T07:02:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:02:12.000Z CYCLE: 8/12 localized +2026-02-06T07:02:22.000Z CYCLE: 9/12 localized +2026-02-06T07:02:32.000Z CYCLE: 9/12 localized +2026-02-06T07:02:42.000Z CYCLE: 9/12 localized +2026-02-06T07:02:52.000Z CYCLE: 9/12 localized +2026-02-06T07:03:02.000Z CYCLE: 9/12 localized +2026-02-06T07:03:12.000Z CYCLE: 9/12 localized +2026-02-06T07:03:22.000Z CYCLE: 9/12 localized +2026-02-06T07:03:32.000Z CYCLE: 9/12 localized +2026-02-06T07:03:42.000Z CYCLE: 9/12 localized +2026-02-06T07:03:52.000Z CYCLE: 9/12 localized +2026-02-06T07:04:02.000Z CYCLE: 9/12 localized +2026-02-06T07:04:13.000Z CYCLE: 9/12 localized +2026-02-06T07:04:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:04:23.000Z CYCLE: 8/12 localized +2026-02-06T07:04:33.000Z CYCLE: 9/12 localized +2026-02-06T07:04:43.000Z CYCLE: 9/12 localized +2026-02-06T07:04:53.000Z CYCLE: 9/12 localized +2026-02-06T07:05:03.000Z CYCLE: 9/12 localized +2026-02-06T07:05:13.000Z CYCLE: 9/12 localized +2026-02-06T07:05:23.000Z CYCLE: 9/12 localized +2026-02-06T07:05:33.000Z CYCLE: 9/12 localized +2026-02-06T07:05:43.000Z CYCLE: 9/12 localized +2026-02-06T07:05:53.000Z CYCLE: 9/12 localized +2026-02-06T07:06:03.000Z CYCLE: 9/12 localized +2026-02-06T07:06:13.000Z CYCLE: 9/12 localized +2026-02-06T07:06:23.000Z CYCLE: 9/12 localized +2026-02-06T07:06:34.000Z CYCLE: 9/12 localized +2026-02-06T07:06:44.000Z CYCLE: 9/12 localized +2026-02-06T07:06:54.000Z CYCLE: 9/12 localized +2026-02-06T07:07:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:07:04.000Z CYCLE: 8/12 localized +2026-02-06T07:07:14.000Z CYCLE: 9/12 localized +2026-02-06T07:07:24.000Z CYCLE: 9/12 localized +2026-02-06T07:07:34.000Z CYCLE: 9/12 localized +2026-02-06T07:07:44.000Z CYCLE: 9/12 localized +2026-02-06T07:07:54.000Z CYCLE: 9/12 localized +2026-02-06T07:08:04.000Z CYCLE: 9/12 localized +2026-02-06T07:08:14.000Z CYCLE: 9/12 localized +2026-02-06T07:08:24.000Z CYCLE: 9/12 localized +2026-02-06T07:08:34.000Z CYCLE: 9/12 localized +2026-02-06T07:08:44.000Z CYCLE: 9/12 localized +2026-02-06T07:08:55.000Z CYCLE: 9/12 localized +2026-02-06T07:09:05.000Z CYCLE: 9/12 localized +2026-02-06T07:09:15.000Z CYCLE: 9/12 localized +2026-02-06T07:09:25.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:09:25.000Z CYCLE: 8/12 localized +2026-02-06T07:09:35.000Z CYCLE: 9/12 localized +2026-02-06T07:09:45.000Z CYCLE: 9/12 localized +2026-02-06T07:09:55.000Z CYCLE: 9/12 localized +2026-02-06T07:10:05.000Z CYCLE: 9/12 localized +2026-02-06T07:10:15.000Z CYCLE: 9/12 localized +2026-02-06T07:10:25.000Z CYCLE: 9/12 localized +2026-02-06T07:10:35.000Z CYCLE: 9/12 localized +2026-02-06T07:10:45.000Z CYCLE: 9/12 localized +2026-02-06T07:10:55.000Z CYCLE: 9/12 localized +2026-02-06T07:11:05.000Z CYCLE: 9/12 localized +2026-02-06T07:11:16.000Z CYCLE: 9/12 localized +2026-02-06T07:11:26.000Z CYCLE: 9/12 localized +2026-02-06T07:11:36.000Z CYCLE: 9/12 localized +2026-02-06T07:11:46.000Z CYCLE: 9/12 localized +2026-02-06T07:11:56.000Z CYCLE: 9/12 localized +2026-02-06T07:12:06.000Z CYCLE: 9/12 localized +2026-02-06T07:12:16.000Z CYCLE: 9/12 localized +2026-02-06T07:12:26.000Z CYCLE: 9/12 localized +2026-02-06T07:12:36.000Z CYCLE: 9/12 localized +2026-02-06T07:12:46.000Z CYCLE: 9/12 localized +2026-02-06T07:12:56.000Z CYCLE: 9/12 localized +2026-02-06T07:13:06.000Z CYCLE: 9/12 localized +2026-02-06T07:13:16.000Z CYCLE: 9/12 localized +2026-02-06T07:13:27.000Z CYCLE: 9/12 localized +2026-02-06T07:13:37.000Z CYCLE: 9/12 localized +2026-02-06T07:13:47.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:13:47.000Z CYCLE: 8/12 localized +2026-02-06T07:13:57.000Z CYCLE: 9/12 localized +2026-02-06T07:14:07.000Z CYCLE: 9/12 localized +2026-02-06T07:14:17.000Z CYCLE: 9/12 localized +2026-02-06T07:14:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:14:27.000Z CYCLE: 8/12 localized +2026-02-06T07:14:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:14:37.000Z CYCLE: 8/12 localized +2026-02-06T07:14:47.000Z CYCLE: 9/12 localized +2026-02-06T07:14:57.000Z CYCLE: 9/12 localized +2026-02-06T07:15:07.000Z CYCLE: 9/12 localized +2026-02-06T07:15:17.000Z CYCLE: 9/12 localized +2026-02-06T07:15:27.000Z CYCLE: 9/12 localized +2026-02-06T07:15:37.000Z CYCLE: 9/12 localized +2026-02-06T07:15:48.000Z CYCLE: 9/12 localized +2026-02-06T07:15:58.000Z CYCLE: 9/12 localized +2026-02-06T07:16:08.000Z CYCLE: 9/12 localized +2026-02-06T07:16:18.000Z CYCLE: 9/12 localized +2026-02-06T07:16:28.000Z CYCLE: 9/12 localized +2026-02-06T07:16:38.000Z CYCLE: 9/12 localized +2026-02-06T07:16:48.000Z CYCLE: 9/12 localized +2026-02-06T07:16:58.000Z CYCLE: 9/12 localized +2026-02-06T07:17:08.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:17:08.000Z CYCLE: 8/12 localized +2026-02-06T07:17:18.000Z CYCLE: 9/12 localized +2026-02-06T07:17:28.000Z CYCLE: 9/12 localized +2026-02-06T07:17:38.000Z CYCLE: 9/12 localized +2026-02-06T07:17:48.000Z CYCLE: 9/12 localized +2026-02-06T07:17:59.000Z CYCLE: 9/12 localized +2026-02-06T07:18:09.000Z CYCLE: 9/12 localized +2026-02-06T07:18:19.000Z CYCLE: 9/12 localized +2026-02-06T07:18:29.000Z CYCLE: 9/12 localized +2026-02-06T07:18:39.000Z CYCLE: 9/12 localized +2026-02-06T07:18:49.000Z CYCLE: 9/12 localized +2026-02-06T07:18:59.000Z CYCLE: 9/12 localized +2026-02-06T07:19:09.000Z CYCLE: 9/12 localized +2026-02-06T07:19:19.000Z CYCLE: 9/12 localized +2026-02-06T07:19:29.000Z CYCLE: 9/12 localized +2026-02-06T07:19:39.000Z CYCLE: 9/12 localized +2026-02-06T07:19:49.000Z CYCLE: 9/12 localized +2026-02-06T07:19:59.000Z CYCLE: 9/12 localized +2026-02-06T07:20:09.000Z CYCLE: 9/12 localized +2026-02-06T07:20:20.000Z CYCLE: 9/12 localized +2026-02-06T07:20:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:20:30.000Z CYCLE: 8/12 localized +2026-02-06T07:20:40.000Z CYCLE: 9/12 localized +2026-02-06T07:20:50.000Z CYCLE: 9/12 localized +2026-02-06T07:21:00.000Z CYCLE: 9/12 localized +2026-02-06T07:21:10.000Z CYCLE: 9/12 localized +2026-02-06T07:21:20.000Z CYCLE: 9/12 localized +2026-02-06T07:21:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:21:30.000Z CYCLE: 8/12 localized +2026-02-06T07:21:40.000Z CYCLE: 9/12 localized +2026-02-06T07:21:50.000Z CYCLE: 9/12 localized +2026-02-06T07:22:00.000Z CYCLE: 9/12 localized +2026-02-06T07:22:10.000Z CYCLE: 9/12 localized +2026-02-06T07:22:20.000Z CYCLE: 9/12 localized +2026-02-06T07:22:30.000Z CYCLE: 9/12 localized +2026-02-06T07:22:41.000Z CYCLE: 9/12 localized +2026-02-06T07:22:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:22:51.000Z CYCLE: 8/12 localized +2026-02-06T07:23:01.000Z CYCLE: 9/12 localized +2026-02-06T07:23:11.000Z CYCLE: 9/12 localized +2026-02-06T07:23:21.000Z CYCLE: 9/12 localized +2026-02-06T07:23:31.000Z CYCLE: 9/12 localized +2026-02-06T07:23:41.000Z CYCLE: 9/12 localized +2026-02-06T07:23:51.000Z CYCLE: 9/12 localized +2026-02-06T07:24:01.000Z CYCLE: 9/12 localized +2026-02-06T07:24:11.000Z CYCLE: 9/12 localized +2026-02-06T07:24:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:24:21.000Z CYCLE: 8/12 localized +2026-02-06T07:24:31.000Z CYCLE: 9/12 localized +2026-02-06T07:24:41.000Z CYCLE: 9/12 localized +2026-02-06T07:24:52.000Z CYCLE: 9/12 localized +2026-02-06T07:25:02.000Z CYCLE: 9/12 localized +2026-02-06T07:25:12.000Z CYCLE: 9/12 localized +2026-02-06T07:25:22.000Z CYCLE: 9/12 localized +2026-02-06T07:25:32.000Z CYCLE: 9/12 localized +2026-02-06T07:25:42.000Z CYCLE: 9/12 localized +2026-02-06T07:25:52.000Z CYCLE: 9/12 localized +2026-02-06T07:26:02.000Z CYCLE: 9/12 localized +2026-02-06T07:26:12.000Z CYCLE: 9/12 localized +2026-02-06T07:26:22.000Z CYCLE: 9/12 localized +2026-02-06T07:26:32.000Z CYCLE: 9/12 localized +2026-02-06T07:26:42.000Z CYCLE: 9/12 localized +2026-02-06T07:26:52.000Z CYCLE: 9/12 localized +2026-02-06T07:27:03.000Z CYCLE: 9/12 localized +2026-02-06T07:27:13.000Z CYCLE: 9/12 localized +2026-02-06T07:27:23.000Z CYCLE: 9/12 localized +2026-02-06T07:27:33.000Z CYCLE: 9/12 localized +2026-02-06T07:27:43.000Z CYCLE: 9/12 localized +2026-02-06T07:27:53.000Z CYCLE: 9/12 localized +2026-02-06T07:28:03.000Z CYCLE: 9/12 localized +2026-02-06T07:28:13.000Z CYCLE: 9/12 localized +2026-02-06T07:28:23.000Z CYCLE: 9/12 localized +2026-02-06T07:28:33.000Z CYCLE: 9/12 localized +2026-02-06T07:28:43.000Z CYCLE: 9/12 localized +2026-02-06T07:28:53.000Z CYCLE: 9/12 localized +2026-02-06T07:29:03.000Z CYCLE: 9/12 localized +2026-02-06T07:29:13.000Z CYCLE: 9/12 localized +2026-02-06T07:29:24.000Z CYCLE: 9/12 localized +2026-02-06T07:29:34.000Z CYCLE: 9/12 localized +2026-02-06T07:29:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:29:44.000Z CYCLE: 8/12 localized +2026-02-06T07:29:54.000Z CYCLE: 9/12 localized +2026-02-06T07:30:04.000Z CYCLE: 9/12 localized +2026-02-06T07:30:14.000Z CYCLE: 9/12 localized +2026-02-06T07:30:24.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:30:24.000Z CYCLE: 8/12 localized +2026-02-06T07:30:34.000Z CYCLE: 9/12 localized +2026-02-06T07:30:44.000Z CYCLE: 9/12 localized +2026-02-06T07:30:54.000Z CYCLE: 9/12 localized +2026-02-06T07:31:04.000Z CYCLE: 9/12 localized +2026-02-06T07:31:14.000Z CYCLE: 9/12 localized +2026-02-06T07:31:24.000Z CYCLE: 9/12 localized +2026-02-06T07:31:35.000Z CYCLE: 9/12 localized +2026-02-06T07:31:45.000Z CYCLE: 9/12 localized +2026-02-06T07:31:55.000Z CYCLE: 9/12 localized +2026-02-06T07:32:05.000Z CYCLE: 9/12 localized +2026-02-06T07:32:15.000Z CYCLE: 9/12 localized +2026-02-06T07:32:25.000Z CYCLE: 9/12 localized +2026-02-06T07:32:35.000Z CYCLE: 9/12 localized +2026-02-06T07:32:45.000Z CYCLE: 9/12 localized +2026-02-06T07:32:55.000Z CYCLE: 9/12 localized +2026-02-06T07:33:05.000Z CYCLE: 9/12 localized +2026-02-06T07:33:15.000Z CYCLE: 9/12 localized +2026-02-06T07:33:25.000Z CYCLE: 9/12 localized +2026-02-06T07:33:36.000Z CYCLE: 9/12 localized +2026-02-06T07:33:46.000Z CYCLE: 9/12 localized +2026-02-06T07:33:56.000Z CYCLE: 9/12 localized +2026-02-06T07:34:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:34:06.000Z CYCLE: 8/12 localized +2026-02-06T07:34:16.000Z CYCLE: 9/12 localized +2026-02-06T07:34:26.000Z CYCLE: 9/12 localized +2026-02-06T07:34:36.000Z CYCLE: 9/12 localized +2026-02-06T07:34:46.000Z CYCLE: 9/12 localized +2026-02-06T07:34:56.000Z CYCLE: 9/12 localized +2026-02-06T07:35:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:35:06.000Z CYCLE: 8/12 localized +2026-02-06T07:35:16.000Z CYCLE: 9/12 localized +2026-02-06T07:35:26.000Z CYCLE: 9/12 localized +2026-02-06T07:35:36.000Z CYCLE: 9/12 localized +2026-02-06T07:35:46.000Z CYCLE: 9/12 localized +2026-02-06T07:35:57.000Z CYCLE: 9/12 localized +2026-02-06T07:36:07.000Z CYCLE: 9/12 localized +2026-02-06T07:36:17.000Z CYCLE: 9/12 localized +2026-02-06T07:36:27.000Z CYCLE: 9/12 localized +2026-02-06T07:36:37.000Z CYCLE: 9/12 localized +2026-02-06T07:36:47.000Z CYCLE: 9/12 localized +2026-02-06T07:36:57.000Z CYCLE: 9/12 localized +2026-02-06T07:37:07.000Z CYCLE: 9/12 localized +2026-02-06T07:37:17.000Z CYCLE: 9/12 localized +2026-02-06T07:37:27.000Z CYCLE: 9/12 localized +2026-02-06T07:37:37.000Z CYCLE: 9/12 localized +2026-02-06T07:37:47.000Z CYCLE: 9/12 localized +2026-02-06T07:37:57.000Z CYCLE: 9/12 localized +2026-02-06T07:38:08.000Z CYCLE: 9/12 localized +2026-02-06T07:38:18.000Z CYCLE: 9/12 localized +2026-02-06T07:38:28.000Z CYCLE: 9/12 localized +2026-02-06T07:38:38.000Z CYCLE: 9/12 localized +2026-02-06T07:38:48.000Z CYCLE: 9/12 localized +2026-02-06T07:38:58.000Z CYCLE: 9/12 localized +2026-02-06T07:39:08.000Z CYCLE: 9/12 localized +2026-02-06T07:39:18.000Z CYCLE: 9/12 localized +2026-02-06T07:39:28.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:39:28.000Z CYCLE: 8/12 localized +2026-02-06T07:39:38.000Z CYCLE: 9/12 localized +2026-02-06T07:39:48.000Z CYCLE: 9/12 localized +2026-02-06T07:39:58.000Z CYCLE: 9/12 localized +2026-02-06T07:40:08.000Z CYCLE: 9/12 localized +2026-02-06T07:40:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:40:19.000Z CYCLE: 8/12 localized +2026-02-06T07:40:29.000Z CYCLE: 9/12 localized +2026-02-06T07:40:39.000Z CYCLE: 9/12 localized +2026-02-06T07:40:49.000Z CYCLE: 9/12 localized +2026-02-06T07:40:59.000Z CYCLE: 9/12 localized +2026-02-06T07:41:09.000Z CYCLE: 9/12 localized +2026-02-06T07:41:19.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:41:19.000Z CYCLE: 8/12 localized +2026-02-06T07:41:29.000Z CYCLE: 9/12 localized +2026-02-06T07:41:39.000Z CYCLE: 9/12 localized +2026-02-06T07:41:49.000Z CYCLE: 9/12 localized +2026-02-06T07:41:59.000Z CYCLE: 9/12 localized +2026-02-06T07:42:09.000Z CYCLE: 9/12 localized +2026-02-06T07:42:19.000Z CYCLE: 9/12 localized +2026-02-06T07:42:30.000Z CYCLE: 9/12 localized +2026-02-06T07:42:40.000Z CYCLE: 9/12 localized +2026-02-06T07:42:50.000Z CYCLE: 9/12 localized +2026-02-06T07:43:00.000Z CYCLE: 9/12 localized +2026-02-06T07:43:10.000Z CYCLE: 9/12 localized +2026-02-06T07:43:20.000Z CYCLE: 9/12 localized +2026-02-06T07:43:30.000Z CYCLE: 9/12 localized +2026-02-06T07:43:40.000Z CYCLE: 9/12 localized +2026-02-06T07:43:50.000Z CYCLE: 9/12 localized +2026-02-06T07:44:00.000Z CYCLE: 9/12 localized +2026-02-06T07:44:10.000Z CYCLE: 9/12 localized +2026-02-06T07:44:20.000Z CYCLE: 9/12 localized +2026-02-06T07:44:30.000Z CYCLE: 9/12 localized +2026-02-06T07:44:41.000Z CYCLE: 9/12 localized +2026-02-06T07:44:51.000Z CYCLE: 9/12 localized +2026-02-06T07:45:01.000Z CYCLE: 9/12 localized +2026-02-06T07:45:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:45:11.000Z CYCLE: 8/12 localized +2026-02-06T07:45:21.000Z CYCLE: 9/12 localized +2026-02-06T07:45:31.000Z CYCLE: 9/12 localized +2026-02-06T07:45:41.000Z CYCLE: 9/12 localized +2026-02-06T07:45:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:45:51.000Z CYCLE: 8/12 localized +2026-02-06T07:46:01.000Z CYCLE: 9/12 localized +2026-02-06T07:46:11.000Z CYCLE: 9/12 localized +2026-02-06T07:46:21.000Z CYCLE: 9/12 localized +2026-02-06T07:46:31.000Z CYCLE: 9/12 localized +2026-02-06T07:46:41.000Z CYCLE: 9/12 localized +2026-02-06T07:46:52.000Z CYCLE: 9/12 localized +2026-02-06T07:47:02.000Z CYCLE: 9/12 localized +2026-02-06T07:47:12.000Z CYCLE: 9/12 localized +2026-02-06T07:47:22.000Z CYCLE: 9/12 localized +2026-02-06T07:47:32.000Z CYCLE: 9/12 localized +2026-02-06T07:47:42.000Z CYCLE: 9/12 localized +2026-02-06T07:47:52.000Z CYCLE: 9/12 localized +2026-02-06T07:48:02.000Z CYCLE: 9/12 localized +2026-02-06T07:48:12.000Z CYCLE: 9/12 localized +2026-02-06T07:48:22.000Z CYCLE: 9/12 localized +2026-02-06T07:48:32.000Z CYCLE: 9/12 localized +2026-02-06T07:48:42.000Z CYCLE: 9/12 localized +2026-02-06T07:48:53.000Z CYCLE: 9/12 localized +2026-02-06T07:49:03.000Z CYCLE: 9/12 localized +2026-02-06T07:49:13.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:49:13.000Z CYCLE: 8/12 localized +2026-02-06T07:49:23.000Z CYCLE: 9/12 localized +2026-02-06T07:49:33.000Z CYCLE: 9/12 localized +2026-02-06T07:49:43.000Z CYCLE: 9/12 localized +2026-02-06T07:49:53.000Z CYCLE: 9/12 localized +2026-02-06T07:50:03.000Z CYCLE: 9/12 localized +2026-02-06T07:50:13.000Z CYCLE: 9/12 localized +2026-02-06T07:50:23.000Z CYCLE: 9/12 localized +2026-02-06T07:50:33.000Z CYCLE: 9/12 localized +2026-02-06T07:50:43.000Z CYCLE: 9/12 localized +2026-02-06T07:50:53.000Z CYCLE: 9/12 localized +2026-02-06T07:51:04.000Z CYCLE: 9/12 localized +2026-02-06T07:51:14.000Z CYCLE: 9/12 localized +2026-02-06T07:51:24.000Z CYCLE: 9/12 localized +2026-02-06T07:51:34.000Z CYCLE: 9/12 localized +2026-02-06T07:51:44.000Z CYCLE: 9/12 localized +2026-02-06T07:51:54.000Z CYCLE: 9/12 localized +2026-02-06T07:52:04.000Z CYCLE: 9/12 localized +2026-02-06T07:52:14.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:52:14.000Z CYCLE: 8/12 localized +2026-02-06T07:52:24.000Z CYCLE: 9/12 localized +2026-02-06T07:52:34.000Z CYCLE: 9/12 localized +2026-02-06T07:52:44.000Z CYCLE: 9/12 localized +2026-02-06T07:52:54.000Z CYCLE: 9/12 localized +2026-02-06T07:53:05.000Z CYCLE: 9/12 localized +2026-02-06T07:53:15.000Z CYCLE: 9/12 localized +2026-02-06T07:53:25.000Z CYCLE: 9/12 localized +2026-02-06T07:53:35.000Z CYCLE: 9/12 localized +2026-02-06T07:53:45.000Z CYCLE: 9/12 localized +2026-02-06T07:53:55.000Z CYCLE: 9/12 localized +2026-02-06T07:54:05.000Z CYCLE: 9/12 localized +2026-02-06T07:54:15.000Z CYCLE: 9/12 localized +2026-02-06T07:54:25.000Z CYCLE: 9/12 localized +2026-02-06T07:54:35.000Z CYCLE: 9/12 localized +2026-02-06T07:54:46.000Z CYCLE: 9/12 localized +2026-02-06T07:54:56.000Z CYCLE: 9/12 localized +2026-02-06T07:55:06.000Z CYCLE: 9/12 localized +2026-02-06T07:55:16.000Z CYCLE: 9/12 localized +2026-02-06T07:55:26.000Z CYCLE: 9/12 localized +2026-02-06T07:55:36.000Z CYCLE: 9/12 localized +2026-02-06T07:55:46.000Z CYCLE: 9/12 localized +2026-02-06T07:55:56.000Z CYCLE: 9/12 localized +2026-02-06T07:56:06.000Z CYCLE: 9/12 localized +2026-02-06T07:56:16.000Z CYCLE: 9/12 localized +2026-02-06T07:56:26.000Z CYCLE: 9/12 localized +2026-02-06T07:56:36.000Z CYCLE: 9/12 localized +2026-02-06T07:56:46.000Z CYCLE: 9/12 localized +2026-02-06T07:56:57.000Z CYCLE: 9/12 localized +2026-02-06T07:57:07.000Z CYCLE: 9/12 localized +2026-02-06T07:57:17.000Z CYCLE: 9/12 localized +2026-02-06T07:57:27.000Z CYCLE: 9/12 localized +2026-02-06T07:57:37.000Z CYCLE: 9/12 localized +2026-02-06T07:57:47.000Z CYCLE: 9/12 localized +2026-02-06T07:57:57.000Z CYCLE: 9/12 localized +2026-02-06T07:58:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T07:58:07.000Z CYCLE: 8/12 localized +2026-02-06T07:58:17.000Z CYCLE: 9/12 localized +2026-02-06T07:58:27.000Z CYCLE: 9/12 localized +2026-02-06T07:58:37.000Z CYCLE: 9/12 localized +2026-02-06T07:58:47.000Z CYCLE: 9/12 localized +2026-02-06T07:58:58.000Z CYCLE: 9/12 localized +2026-02-06T07:59:08.000Z CYCLE: 9/12 localized +2026-02-06T07:59:18.000Z CYCLE: 9/12 localized +2026-02-06T07:59:28.000Z CYCLE: 9/12 localized +2026-02-06T07:59:38.000Z CYCLE: 9/12 localized +2026-02-06T07:59:48.000Z CYCLE: 9/12 localized +2026-02-06T07:59:58.000Z CYCLE: 9/12 localized +2026-02-06T08:00:08.000Z CYCLE: 9/12 localized +2026-02-06T08:00:18.000Z CYCLE: 9/12 localized +2026-02-06T08:00:28.000Z CYCLE: 9/12 localized +2026-02-06T08:00:38.000Z CYCLE: 9/12 localized +2026-02-06T08:00:48.000Z CYCLE: 9/12 localized +2026-02-06T08:00:59.000Z CYCLE: 9/12 localized +2026-02-06T08:01:09.000Z CYCLE: 9/12 localized +2026-02-06T08:01:19.000Z CYCLE: 9/12 localized +2026-02-06T08:01:29.000Z CYCLE: 9/12 localized +2026-02-06T08:01:39.000Z CYCLE: 9/12 localized +2026-02-06T08:01:49.000Z CYCLE: 9/12 localized +2026-02-06T08:01:59.000Z CYCLE: 9/12 localized +2026-02-06T08:02:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:02:09.000Z CYCLE: 8/12 localized +2026-02-06T08:02:19.000Z CYCLE: 9/12 localized +2026-02-06T08:02:29.000Z CYCLE: 9/12 localized +2026-02-06T08:02:39.000Z CYCLE: 9/12 localized +2026-02-06T08:02:50.000Z CYCLE: 9/12 localized +2026-02-06T08:03:00.000Z CYCLE: 9/12 localized +2026-02-06T08:03:10.000Z CYCLE: 9/12 localized +2026-02-06T08:03:20.000Z CYCLE: 9/12 localized +2026-02-06T08:03:30.000Z CYCLE: 9/12 localized +2026-02-06T08:03:40.000Z CYCLE: 9/12 localized +2026-02-06T08:03:50.000Z CYCLE: 9/12 localized +2026-02-06T08:04:00.000Z CYCLE: 9/12 localized +2026-02-06T08:04:10.000Z CYCLE: 9/12 localized +2026-02-06T08:04:20.000Z CYCLE: 9/12 localized +2026-02-06T08:04:30.000Z CYCLE: 9/12 localized +2026-02-06T08:04:40.000Z CYCLE: 9/12 localized +2026-02-06T08:04:51.000Z CYCLE: 9/12 localized +2026-02-06T08:05:01.000Z CYCLE: 9/12 localized +2026-02-06T08:05:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:05:11.000Z CYCLE: 8/12 localized +2026-02-06T08:05:21.000Z CYCLE: 9/12 localized +2026-02-06T08:05:31.000Z CYCLE: 9/12 localized +2026-02-06T08:05:41.000Z CYCLE: 9/12 localized +2026-02-06T08:05:51.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:05:51.000Z CYCLE: 8/12 localized +2026-02-06T08:06:01.000Z CYCLE: 9/12 localized +2026-02-06T08:06:11.000Z CYCLE: 9/12 localized +2026-02-06T08:06:21.000Z CYCLE: 9/12 localized +2026-02-06T08:06:31.000Z CYCLE: 9/12 localized +2026-02-06T08:06:41.000Z CYCLE: 9/12 localized +2026-02-06T08:06:52.000Z CYCLE: 9/12 localized +2026-02-06T08:07:02.000Z CYCLE: 9/12 localized +2026-02-06T08:07:12.000Z CYCLE: 9/12 localized +2026-02-06T08:07:22.000Z CYCLE: 9/12 localized +2026-02-06T08:07:32.000Z CYCLE: 9/12 localized +2026-02-06T08:07:42.000Z CYCLE: 9/12 localized +2026-02-06T08:07:52.000Z CYCLE: 9/12 localized +2026-02-06T08:08:02.000Z CYCLE: 9/12 localized +2026-02-06T08:08:12.000Z CYCLE: 9/12 localized +2026-02-06T08:08:22.000Z CYCLE: 9/12 localized +2026-02-06T08:08:32.000Z CYCLE: 9/12 localized +2026-02-06T08:08:42.000Z CYCLE: 9/12 localized +2026-02-06T08:08:53.000Z CYCLE: 9/12 localized +2026-02-06T08:09:03.000Z CYCLE: 9/12 localized +2026-02-06T08:09:13.000Z CYCLE: 9/12 localized +2026-02-06T08:09:23.000Z CYCLE: 9/12 localized +2026-02-06T08:09:33.000Z CYCLE: 9/12 localized +2026-02-06T08:09:43.000Z CYCLE: 9/12 localized +2026-02-06T08:09:53.000Z CYCLE: 9/12 localized +2026-02-06T08:10:03.000Z CYCLE: 9/12 localized +2026-02-06T08:10:13.000Z CYCLE: 9/12 localized +2026-02-06T08:10:23.000Z CYCLE: 9/12 localized +2026-02-06T08:10:33.000Z CYCLE: 9/12 localized +2026-02-06T08:10:44.000Z CYCLE: 9/12 localized +2026-02-06T08:10:54.000Z CYCLE: 9/12 localized +2026-02-06T08:11:04.000Z CYCLE: 9/12 localized +2026-02-06T08:11:14.000Z CYCLE: 9/12 localized +2026-02-06T08:11:24.000Z CYCLE: 9/12 localized +2026-02-06T08:11:34.000Z CYCLE: 9/12 localized +2026-02-06T08:11:44.000Z CYCLE: 9/12 localized +2026-02-06T08:11:54.000Z CYCLE: 9/12 localized +2026-02-06T08:12:04.000Z CYCLE: 9/12 localized +2026-02-06T08:12:14.000Z CYCLE: 9/12 localized +2026-02-06T08:12:24.000Z CYCLE: 9/12 localized +2026-02-06T08:12:35.000Z CYCLE: 9/12 localized +2026-02-06T08:12:45.000Z CYCLE: 9/12 localized +2026-02-06T08:12:55.000Z CYCLE: 9/12 localized +2026-02-06T08:13:05.000Z CYCLE: 9/12 localized +2026-02-06T08:13:15.000Z CYCLE: 9/12 localized +2026-02-06T08:13:25.000Z CYCLE: 9/12 localized +2026-02-06T08:13:35.000Z CYCLE: 9/12 localized +2026-02-06T08:13:45.000Z CYCLE: 9/12 localized +2026-02-06T08:13:55.000Z CYCLE: 9/12 localized +2026-02-06T08:14:05.000Z CYCLE: 9/12 localized +2026-02-06T08:14:15.000Z CYCLE: 9/12 localized +2026-02-06T08:14:26.000Z CYCLE: 9/12 localized +2026-02-06T08:14:36.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:14:36.000Z CYCLE: 8/12 localized +2026-02-06T08:14:46.000Z CYCLE: 9/12 localized +2026-02-06T08:14:56.000Z CYCLE: 9/12 localized +2026-02-06T08:15:06.000Z CYCLE: 9/12 localized +2026-02-06T08:15:16.000Z CYCLE: 9/12 localized +2026-02-06T08:15:26.000Z CYCLE: 9/12 localized +2026-02-06T08:15:36.000Z CYCLE: 9/12 localized +2026-02-06T08:15:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:15:46.000Z CYCLE: 8/12 localized +2026-02-06T08:15:56.000Z CYCLE: 9/12 localized +2026-02-06T08:16:06.000Z CYCLE: 9/12 localized +2026-02-06T08:16:17.000Z CYCLE: 9/12 localized +2026-02-06T08:16:27.000Z CYCLE: 9/12 localized +2026-02-06T08:16:37.000Z CYCLE: 9/12 localized +2026-02-06T08:16:47.000Z CYCLE: 9/12 localized +2026-02-06T08:16:57.000Z CYCLE: 9/12 localized +2026-02-06T08:17:07.000Z CYCLE: 9/12 localized +2026-02-06T08:17:17.000Z CYCLE: 9/12 localized +2026-02-06T08:17:27.000Z CYCLE: 9/12 localized +2026-02-06T08:17:37.000Z CYCLE: 9/12 localized +2026-02-06T08:17:47.000Z CYCLE: 9/12 localized +2026-02-06T08:17:57.000Z CYCLE: 9/12 localized +2026-02-06T08:18:08.000Z CYCLE: 9/12 localized +2026-02-06T08:18:18.000Z CYCLE: 9/12 localized +2026-02-06T08:18:28.000Z CYCLE: 9/12 localized +2026-02-06T08:18:38.000Z CYCLE: 9/12 localized +2026-02-06T08:18:48.000Z CYCLE: 9/12 localized +2026-02-06T08:18:58.000Z CYCLE: 9/12 localized +2026-02-06T08:19:08.000Z CYCLE: 9/12 localized +2026-02-06T08:19:18.000Z CYCLE: 9/12 localized +2026-02-06T08:19:28.000Z CYCLE: 9/12 localized +2026-02-06T08:19:38.000Z CYCLE: 9/12 localized +2026-02-06T08:19:48.000Z CYCLE: 9/12 localized +2026-02-06T08:19:59.000Z CYCLE: 9/12 localized +2026-02-06T08:20:09.000Z CYCLE: 9/12 localized +2026-02-06T08:20:19.000Z CYCLE: 9/12 localized +2026-02-06T08:20:29.000Z CYCLE: 9/12 localized +2026-02-06T08:20:39.000Z CYCLE: 9/12 localized +2026-02-06T08:20:49.000Z CYCLE: 9/12 localized +2026-02-06T08:20:59.000Z CYCLE: 9/12 localized +2026-02-06T08:21:09.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:21:09.000Z CYCLE: 8/12 localized +2026-02-06T08:21:19.000Z CYCLE: 9/12 localized +2026-02-06T08:21:29.000Z CYCLE: 9/12 localized +2026-02-06T08:21:39.000Z CYCLE: 9/12 localized +2026-02-06T08:21:50.000Z CYCLE: 9/12 localized +2026-02-06T08:22:00.000Z CYCLE: 9/12 localized +2026-02-06T08:22:10.000Z CYCLE: 9/12 localized +2026-02-06T08:22:20.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:22:20.000Z CYCLE: 8/12 localized +2026-02-06T08:22:30.000Z CYCLE: 9/12 localized +2026-02-06T08:22:40.000Z CYCLE: 9/12 localized +2026-02-06T08:22:50.000Z CYCLE: 9/12 localized +2026-02-06T08:23:00.000Z CYCLE: 9/12 localized +2026-02-06T08:23:10.000Z CYCLE: 9/12 localized +2026-02-06T08:23:20.000Z CYCLE: 9/12 localized +2026-02-06T08:23:30.000Z CYCLE: 9/12 localized +2026-02-06T08:23:40.000Z CYCLE: 9/12 localized +2026-02-06T08:23:51.000Z CYCLE: 9/12 localized +2026-02-06T08:24:01.000Z CYCLE: 9/12 localized +2026-02-06T08:24:11.000Z CYCLE: 9/12 localized +2026-02-06T08:24:21.000Z CYCLE: 9/12 localized +2026-02-06T08:24:31.000Z CYCLE: 9/12 localized +2026-02-06T08:24:41.000Z CYCLE: 9/12 localized +2026-02-06T08:24:51.000Z CYCLE: 9/12 localized +2026-02-06T08:25:01.000Z CYCLE: 9/12 localized +2026-02-06T08:25:11.000Z CYCLE: 9/12 localized +2026-02-06T08:25:21.000Z CYCLE: 9/12 localized +2026-02-06T08:25:31.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:25:32.000Z CYCLE: 8/12 localized +2026-02-06T08:25:42.000Z CYCLE: 9/12 localized +2026-02-06T08:25:52.000Z CYCLE: 9/12 localized +2026-02-06T08:26:02.000Z CYCLE: 9/12 localized +2026-02-06T08:26:12.000Z CYCLE: 9/12 localized +2026-02-06T08:26:22.000Z CYCLE: 9/12 localized +2026-02-06T08:26:32.000Z CYCLE: 9/12 localized +2026-02-06T08:26:42.000Z CYCLE: 9/12 localized +2026-02-06T08:26:52.000Z CYCLE: 9/12 localized +2026-02-06T08:27:02.000Z CYCLE: 9/12 localized +2026-02-06T08:27:12.000Z CYCLE: 9/12 localized +2026-02-06T08:27:23.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T08:27:23.000Z CYCLE: 8/12 localized +2026-02-06T08:27:33.000Z CYCLE: 9/12 localized +2026-02-06T08:27:43.000Z CYCLE: 9/12 localized +2026-02-06T08:27:53.000Z CYCLE: 9/12 localized +2026-02-06T08:28:03.000Z CYCLE: 9/12 localized +2026-02-06T08:28:13.000Z CYCLE: 9/12 localized +2026-02-06T08:28:23.000Z CYCLE: 9/12 localized +2026-02-06T08:28:33.000Z CYCLE: 9/12 localized +2026-02-06T08:28:43.000Z CYCLE: 9/12 localized +2026-02-06T08:28:53.000Z CYCLE: 9/12 localized +2026-02-06T08:29:04.000Z CYCLE: 9/12 localized +2026-02-06T08:29:14.000Z CYCLE: 9/12 localized +2026-02-06T08:29:24.000Z CYCLE: 9/12 localized +2026-02-06T08:29:34.000Z CYCLE: 9/12 localized +2026-02-06T08:29:44.000Z CYCLE: 9/12 localized +2026-02-06T08:29:54.000Z CYCLE: 9/12 localized +2026-02-06T08:30:04.000Z CYCLE: 9/12 localized +2026-02-06T08:30:14.000Z CYCLE: 9/12 localized +2026-02-06T08:30:24.000Z CYCLE: 9/12 localized +2026-02-06T08:30:34.000Z CYCLE: 9/12 localized +2026-02-06T08:30:44.000Z CYCLE: 9/12 localized +2026-02-06T08:30:55.000Z CYCLE: 9/12 localized +2026-02-06T08:31:05.000Z CYCLE: 9/12 localized +2026-02-06T08:31:15.000Z CYCLE: 9/12 localized +2026-02-06T08:31:25.000Z CYCLE: 9/12 localized +2026-02-06T08:31:35.000Z CYCLE: 9/12 localized +2026-02-06T08:31:45.000Z CYCLE: 9/12 localized +2026-02-06T08:31:55.000Z CYCLE: 9/12 localized +2026-02-06T08:32:05.000Z CYCLE: 9/12 localized +2026-02-06T08:32:15.000Z CYCLE: 9/12 localized +2026-02-06T08:32:25.000Z CYCLE: 9/12 localized +2026-02-06T08:32:36.000Z CYCLE: 9/12 localized +2026-02-06T08:32:46.000Z CYCLE: 9/12 localized +2026-02-06T08:32:56.000Z CYCLE: 9/12 localized +2026-02-06T08:33:06.000Z CYCLE: 9/12 localized +2026-02-06T08:33:16.000Z CYCLE: 9/12 localized +2026-02-06T08:33:26.000Z CYCLE: 9/12 localized +2026-02-06T08:33:36.000Z CYCLE: 9/12 localized +2026-02-06T08:33:46.000Z CYCLE: 9/12 localized +2026-02-06T08:33:56.000Z CYCLE: 9/12 localized +2026-02-06T08:34:06.000Z CYCLE: 9/12 localized +2026-02-06T08:34:16.000Z CYCLE: 9/12 localized +2026-02-06T08:34:27.000Z CYCLE: 9/12 localized +2026-02-06T08:34:37.000Z CYCLE: 9/12 localized +2026-02-06T08:34:47.000Z CYCLE: 9/12 localized +2026-02-06T08:34:57.000Z CYCLE: 9/12 localized +2026-02-06T08:35:07.000Z CYCLE: 9/12 localized +2026-02-06T08:35:17.000Z CYCLE: 9/12 localized +2026-02-06T08:35:27.000Z CYCLE: 9/12 localized +2026-02-06T08:35:37.000Z CYCLE: 9/12 localized +2026-02-06T08:35:47.000Z CYCLE: 9/12 localized +2026-02-06T08:35:57.000Z CYCLE: 9/12 localized +2026-02-06T08:36:08.000Z CYCLE: 9/12 localized +2026-02-06T08:36:18.000Z CYCLE: 9/12 localized +2026-02-06T08:36:28.000Z CYCLE: 9/12 localized +2026-02-06T08:36:38.000Z CYCLE: 9/12 localized +2026-02-06T08:36:48.000Z CYCLE: 9/12 localized +2026-02-06T08:36:58.000Z CYCLE: 9/12 localized +2026-02-06T08:37:08.000Z CYCLE: 9/12 localized +2026-02-06T08:37:18.000Z CYCLE: 9/12 localized +2026-02-06T08:37:28.000Z CYCLE: 9/12 localized +2026-02-06T08:37:38.000Z CYCLE: 9/12 localized +2026-02-06T08:37:48.000Z CYCLE: 9/12 localized +2026-02-06T08:37:59.000Z CYCLE: 9/12 localized +2026-02-06T08:38:09.000Z CYCLE: 9/12 localized +2026-02-06T08:38:19.000Z CYCLE: 9/12 localized +2026-02-06T08:38:29.000Z CYCLE: 9/12 localized +2026-02-06T08:38:39.000Z CYCLE: 9/12 localized +2026-02-06T08:38:49.000Z CYCLE: 9/12 localized +2026-02-06T08:38:59.000Z CYCLE: 9/12 localized +2026-02-06T08:39:09.000Z CYCLE: 9/12 localized +2026-02-06T08:39:19.000Z CYCLE: 9/12 localized +2026-02-06T08:39:29.000Z CYCLE: 9/12 localized +2026-02-06T08:39:40.000Z CYCLE: 9/12 localized +2026-02-06T08:39:50.000Z CYCLE: 9/12 localized +2026-02-06T08:40:00.000Z CYCLE: 9/12 localized +2026-02-06T08:40:10.000Z CYCLE: 9/12 localized +2026-02-06T08:40:20.000Z CYCLE: 9/12 localized +2026-02-06T08:40:30.000Z CYCLE: 9/12 localized +2026-02-06T08:40:40.000Z CYCLE: 9/12 localized +2026-02-06T08:40:50.000Z CYCLE: 9/12 localized +2026-02-06T08:41:00.000Z CYCLE: 9/12 localized +2026-02-06T08:41:10.000Z CYCLE: 9/12 localized +2026-02-06T08:41:20.000Z CYCLE: 9/12 localized +2026-02-06T08:41:31.000Z CYCLE: 9/12 localized +2026-02-06T08:41:41.000Z CYCLE: 9/12 localized +2026-02-06T08:41:51.000Z CYCLE: 9/12 localized +2026-02-06T08:42:01.000Z CYCLE: 9/12 localized +2026-02-06T08:42:11.000Z CYCLE: 9/12 localized +2026-02-06T08:42:21.000Z CYCLE: 9/12 localized +2026-02-06T08:42:31.000Z CYCLE: 9/12 localized +2026-02-06T08:42:41.000Z CYCLE: 9/12 localized +2026-02-06T08:42:51.000Z CYCLE: 9/12 localized +2026-02-06T08:43:01.000Z CYCLE: 9/12 localized +2026-02-06T08:43:12.000Z CYCLE: 9/12 localized +2026-02-06T08:43:22.000Z CYCLE: 9/12 localized +2026-02-06T08:43:32.000Z CYCLE: 9/12 localized +2026-02-06T08:43:42.000Z CYCLE: 9/12 localized +2026-02-06T08:43:52.000Z CYCLE: 9/12 localized +2026-02-06T08:44:02.000Z CYCLE: 9/12 localized +2026-02-06T08:44:12.000Z CYCLE: 9/12 localized +2026-02-06T08:44:22.000Z CYCLE: 9/12 localized +2026-02-06T08:44:32.000Z CYCLE: 9/12 localized +2026-02-06T08:44:42.000Z CYCLE: 9/12 localized +2026-02-06T08:44:53.000Z CYCLE: 9/12 localized +2026-02-06T08:45:03.000Z CYCLE: 9/12 localized +2026-02-06T08:45:13.000Z CYCLE: 9/12 localized +2026-02-06T08:45:23.000Z CYCLE: 9/12 localized +2026-02-06T08:45:33.000Z CYCLE: 9/12 localized +2026-02-06T08:45:43.000Z CYCLE: 9/12 localized +2026-02-06T08:45:53.000Z CYCLE: 9/12 localized +2026-02-06T08:46:03.000Z CYCLE: 9/12 localized +2026-02-06T08:46:13.000Z CYCLE: 9/12 localized +2026-02-06T08:46:23.000Z CYCLE: 9/12 localized +2026-02-06T08:46:34.000Z CYCLE: 9/12 localized +2026-02-06T08:46:44.000Z CYCLE: 9/12 localized +2026-02-06T08:46:54.000Z CYCLE: 9/12 localized +2026-02-06T08:47:04.000Z CYCLE: 9/12 localized +2026-02-06T08:47:14.000Z CYCLE: 9/12 localized +2026-02-06T08:47:24.000Z CYCLE: 9/12 localized +2026-02-06T08:47:34.000Z CYCLE: 9/12 localized +2026-02-06T08:47:44.000Z CYCLE: 9/12 localized +2026-02-06T08:47:54.000Z CYCLE: 9/12 localized +2026-02-06T08:48:04.000Z CYCLE: 9/12 localized +2026-02-06T08:48:15.000Z CYCLE: 9/12 localized +2026-02-06T08:48:25.000Z CYCLE: 9/12 localized +2026-02-06T08:48:35.000Z CYCLE: 9/12 localized +2026-02-06T08:48:45.000Z CYCLE: 9/12 localized +2026-02-06T08:48:55.000Z CYCLE: 9/12 localized +2026-02-06T08:49:05.000Z CYCLE: 9/12 localized +2026-02-06T08:49:15.000Z CYCLE: 9/12 localized +2026-02-06T08:49:25.000Z CYCLE: 9/12 localized +2026-02-06T08:49:35.000Z CYCLE: 9/12 localized +2026-02-06T08:49:45.000Z CYCLE: 9/12 localized +2026-02-06T08:49:56.000Z CYCLE: 9/12 localized +2026-02-06T08:50:06.000Z CYCLE: 9/12 localized +2026-02-06T08:50:16.000Z CYCLE: 9/12 localized +2026-02-06T08:50:26.000Z CYCLE: 9/12 localized +2026-02-06T08:50:36.000Z CYCLE: 9/12 localized +2026-02-06T08:50:46.000Z CYCLE: 9/12 localized +2026-02-06T08:50:56.000Z CYCLE: 9/12 localized +2026-02-06T08:51:06.000Z CYCLE: 9/12 localized +2026-02-06T08:51:16.000Z CYCLE: 9/12 localized +2026-02-06T08:51:26.000Z CYCLE: 9/12 localized +2026-02-06T08:51:37.000Z CYCLE: 9/12 localized +2026-02-06T08:51:47.000Z CYCLE: 9/12 localized +2026-02-06T08:51:57.000Z CYCLE: 9/12 localized +2026-02-06T08:52:07.000Z CYCLE: 9/12 localized +2026-02-06T08:52:17.000Z CYCLE: 9/12 localized +2026-02-06T08:52:27.000Z CYCLE: 9/12 localized +2026-02-06T08:52:37.000Z CYCLE: 9/12 localized +2026-02-06T08:52:47.000Z CYCLE: 9/12 localized +2026-02-06T08:52:57.000Z CYCLE: 9/12 localized +2026-02-06T08:53:07.000Z CYCLE: 9/12 localized +2026-02-06T08:53:18.000Z CYCLE: 9/12 localized +2026-02-06T08:53:28.000Z CYCLE: 9/12 localized +2026-02-06T08:53:38.000Z CYCLE: 9/12 localized +2026-02-06T08:53:48.000Z CYCLE: 9/12 localized +2026-02-06T08:53:58.000Z CYCLE: 9/12 localized +2026-02-06T08:54:08.000Z CYCLE: 9/12 localized +2026-02-06T08:54:18.000Z CYCLE: 9/12 localized +2026-02-06T08:54:28.000Z CYCLE: 9/12 localized +2026-02-06T08:54:39.000Z CYCLE: 9/12 localized +2026-02-06T08:54:49.000Z CYCLE: 9/12 localized +2026-02-06T08:54:59.000Z CYCLE: 9/12 localized +2026-02-06T08:55:09.000Z CYCLE: 9/12 localized +2026-02-06T08:55:19.000Z CYCLE: 9/12 localized +2026-02-06T08:55:29.000Z CYCLE: 9/12 localized +2026-02-06T08:55:39.000Z CYCLE: 9/12 localized +2026-02-06T08:55:49.000Z CYCLE: 9/12 localized +2026-02-06T08:55:59.000Z CYCLE: 9/12 localized +2026-02-06T08:56:09.000Z CYCLE: 9/12 localized +2026-02-06T08:56:20.000Z CYCLE: 9/12 localized +2026-02-06T08:56:30.000Z CYCLE: 9/12 localized +2026-02-06T08:56:40.000Z CYCLE: 9/12 localized +2026-02-06T08:56:50.000Z CYCLE: 9/12 localized +2026-02-06T08:57:00.000Z CYCLE: 9/12 localized +2026-02-06T08:57:10.000Z CYCLE: 9/12 localized +2026-02-06T08:57:20.000Z CYCLE: 9/12 localized +2026-02-06T08:57:30.000Z CYCLE: 9/12 localized +2026-02-06T08:57:40.000Z CYCLE: 9/12 localized +2026-02-06T08:57:50.000Z CYCLE: 9/12 localized +2026-02-06T08:58:01.000Z CYCLE: 9/12 localized +2026-02-06T08:58:11.000Z CYCLE: 9/12 localized +2026-02-06T08:58:21.000Z CYCLE: 9/12 localized +2026-02-06T08:58:31.000Z CYCLE: 9/12 localized +2026-02-06T08:58:41.000Z CYCLE: 9/12 localized +2026-02-06T08:58:51.000Z CYCLE: 9/12 localized +2026-02-06T08:59:01.000Z CYCLE: 9/12 localized +2026-02-06T08:59:11.000Z CYCLE: 9/12 localized +2026-02-06T08:59:21.000Z CYCLE: 9/12 localized +2026-02-06T08:59:32.000Z CYCLE: 9/12 localized +2026-02-06T08:59:42.000Z CYCLE: 9/12 localized +2026-02-06T08:59:52.000Z CYCLE: 9/12 localized +2026-02-06T09:00:02.000Z CYCLE: 9/12 localized +2026-02-06T09:00:12.000Z CYCLE: 9/12 localized +2026-02-06T09:00:22.000Z CYCLE: 9/12 localized +2026-02-06T09:00:32.000Z CYCLE: 9/12 localized +2026-02-06T09:00:42.000Z CYCLE: 9/12 localized +2026-02-06T09:00:53.000Z CYCLE: 9/12 localized +2026-02-06T09:01:03.000Z CYCLE: 9/12 localized +2026-02-06T09:01:13.000Z CYCLE: 9/12 localized +2026-02-06T09:01:23.000Z CYCLE: 9/12 localized +2026-02-06T09:01:33.000Z CYCLE: 9/12 localized +2026-02-06T09:01:43.000Z CYCLE: 9/12 localized +2026-02-06T09:01:53.000Z CYCLE: 9/12 localized +2026-02-06T09:02:03.000Z CYCLE: 9/12 localized +2026-02-06T09:02:13.000Z CYCLE: 9/12 localized +2026-02-06T09:02:23.000Z CYCLE: 9/12 localized +2026-02-06T09:02:34.000Z CYCLE: 9/12 localized +2026-02-06T09:02:44.000Z CYCLE: 9/12 localized +2026-02-06T09:02:54.000Z CYCLE: 9/12 localized +2026-02-06T09:03:04.000Z CYCLE: 9/12 localized +2026-02-06T09:03:14.000Z CYCLE: 9/12 localized +2026-02-06T09:03:24.000Z CYCLE: 9/12 localized +2026-02-06T09:03:34.000Z CYCLE: 9/12 localized +2026-02-06T09:03:44.000Z CYCLE: 9/12 localized +2026-02-06T09:03:54.000Z CYCLE: 9/12 localized +2026-02-06T09:04:05.000Z CYCLE: 9/12 localized +2026-02-06T09:04:15.000Z CYCLE: 9/12 localized +2026-02-06T09:04:25.000Z CYCLE: 9/12 localized +2026-02-06T09:04:35.000Z CYCLE: 9/12 localized +2026-02-06T09:04:45.000Z CYCLE: 9/12 localized +2026-02-06T09:04:55.000Z CYCLE: 9/12 localized +2026-02-06T09:05:05.000Z CYCLE: 9/12 localized +2026-02-06T09:05:15.000Z CYCLE: 9/12 localized +2026-02-06T09:05:25.000Z CYCLE: 9/12 localized +2026-02-06T09:05:35.000Z CYCLE: 9/12 localized +2026-02-06T09:05:46.000Z CYCLE: 9/12 localized +2026-02-06T09:05:56.000Z CYCLE: 9/12 localized +2026-02-06T09:06:06.000Z CYCLE: 9/12 localized +2026-02-06T09:06:16.000Z CYCLE: 9/12 localized +2026-02-06T09:06:26.000Z CYCLE: 9/12 localized +2026-02-06T09:06:36.000Z CYCLE: 9/12 localized +2026-02-06T09:06:46.000Z CYCLE: 9/12 localized +2026-02-06T09:06:56.000Z CYCLE: 9/12 localized +2026-02-06T09:07:06.000Z CYCLE: 9/12 localized +2026-02-06T09:07:17.000Z CYCLE: 9/12 localized +2026-02-06T09:07:27.000Z CYCLE: 9/12 localized +2026-02-06T09:07:37.000Z CYCLE: 9/12 localized +2026-02-06T09:07:47.000Z CYCLE: 9/12 localized +2026-02-06T09:07:57.000Z CYCLE: 9/12 localized +2026-02-06T09:08:07.000Z CYCLE: 9/12 localized +2026-02-06T09:08:17.000Z CYCLE: 9/12 localized +2026-02-06T09:08:27.000Z CYCLE: 9/12 localized +2026-02-06T09:08:37.000Z CYCLE: 9/12 localized +2026-02-06T09:08:47.000Z CYCLE: 9/12 localized +2026-02-06T09:08:58.000Z CYCLE: 9/12 localized +2026-02-06T09:09:08.000Z CYCLE: 9/12 localized +2026-02-06T09:09:18.000Z CYCLE: 9/12 localized +2026-02-06T09:09:28.000Z CYCLE: 9/12 localized +2026-02-06T09:09:38.000Z CYCLE: 9/12 localized +2026-02-06T09:09:48.000Z CYCLE: 9/12 localized +2026-02-06T09:09:58.000Z CYCLE: 9/12 localized +2026-02-06T09:10:08.000Z CYCLE: 9/12 localized +2026-02-06T09:10:18.000Z CYCLE: 9/12 localized +2026-02-06T09:10:29.000Z CYCLE: 9/12 localized +2026-02-06T09:10:39.000Z CYCLE: 9/12 localized +2026-02-06T09:10:49.000Z CYCLE: 9/12 localized +2026-02-06T09:10:59.000Z CYCLE: 9/12 localized +2026-02-06T09:11:09.000Z CYCLE: 9/12 localized +2026-02-06T09:11:19.000Z CYCLE: 9/12 localized +2026-02-06T09:11:29.000Z CYCLE: 9/12 localized +2026-02-06T09:11:39.000Z CYCLE: 9/12 localized +2026-02-06T09:11:49.000Z CYCLE: 9/12 localized +2026-02-06T09:11:59.000Z CYCLE: 9/12 localized +2026-02-06T09:12:10.000Z CYCLE: 9/12 localized +2026-02-06T09:12:20.000Z CYCLE: 9/12 localized +2026-02-06T09:12:30.000Z CYCLE: 9/12 localized +2026-02-06T09:12:40.000Z CYCLE: 9/12 localized +2026-02-06T09:12:50.000Z CYCLE: 9/12 localized +2026-02-06T09:13:00.000Z CYCLE: 9/12 localized +2026-02-06T09:13:10.000Z CYCLE: 9/12 localized +2026-02-06T09:13:20.000Z CYCLE: 9/12 localized +2026-02-06T09:13:30.000Z CYCLE: 9/12 localized +2026-02-06T09:13:40.000Z CYCLE: 9/12 localized +2026-02-06T09:13:51.000Z CYCLE: 9/12 localized +2026-02-06T09:14:01.000Z CYCLE: 9/12 localized +2026-02-06T09:14:11.000Z CYCLE: 9/12 localized +2026-02-06T09:14:21.000Z CYCLE: 9/12 localized +2026-02-06T09:14:31.000Z CYCLE: 9/12 localized +2026-02-06T09:14:41.000Z CYCLE: 9/12 localized +2026-02-06T09:14:51.000Z CYCLE: 9/12 localized +2026-02-06T09:15:01.000Z CYCLE: 9/12 localized +2026-02-06T09:15:11.000Z CYCLE: 9/12 localized +2026-02-06T09:15:21.000Z CYCLE: 9/12 localized +2026-02-06T09:15:32.000Z CYCLE: 9/12 localized +2026-02-06T09:15:42.000Z CYCLE: 9/12 localized +2026-02-06T09:15:52.000Z CYCLE: 9/12 localized +2026-02-06T09:16:02.000Z CYCLE: 9/12 localized +2026-02-06T09:16:12.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T09:16:12.000Z CYCLE: 8/12 localized +2026-02-06T09:16:22.000Z CYCLE: 9/12 localized +2026-02-06T09:16:32.000Z CYCLE: 9/12 localized +2026-02-06T09:16:42.000Z CYCLE: 9/12 localized +2026-02-06T09:16:52.000Z CYCLE: 9/12 localized +2026-02-06T09:17:02.000Z CYCLE: 9/12 localized +2026-02-06T09:17:13.000Z CYCLE: 9/12 localized +2026-02-06T09:17:23.000Z CYCLE: 9/12 localized +2026-02-06T09:17:33.000Z CYCLE: 9/12 localized +2026-02-06T09:17:43.000Z CYCLE: 9/12 localized +2026-02-06T09:17:53.000Z CYCLE: 9/12 localized +2026-02-06T09:18:03.000Z CYCLE: 9/12 localized +2026-02-06T09:18:13.000Z CYCLE: 9/12 localized +2026-02-06T09:18:23.000Z CYCLE: 9/12 localized +2026-02-06T09:18:33.000Z CYCLE: 9/12 localized +2026-02-06T09:18:43.000Z CYCLE: 9/12 localized +2026-02-06T09:18:54.000Z CYCLE: 9/12 localized +2026-02-06T09:19:04.000Z CYCLE: 9/12 localized +2026-02-06T09:19:14.000Z CYCLE: 9/12 localized +2026-02-06T09:19:24.000Z CYCLE: 9/12 localized +2026-02-06T09:19:34.000Z CYCLE: 9/12 localized +2026-02-06T09:19:44.000Z CYCLE: 9/12 localized +2026-02-06T09:19:54.000Z CYCLE: 9/12 localized +2026-02-06T09:20:04.000Z CYCLE: 9/12 localized +2026-02-06T09:20:14.000Z CYCLE: 9/12 localized +2026-02-06T09:20:24.000Z CYCLE: 9/12 localized +2026-02-06T09:20:35.000Z CYCLE: 9/12 localized +2026-02-06T09:20:45.000Z CYCLE: 9/12 localized +2026-02-06T09:20:55.000Z CYCLE: 9/12 localized +2026-02-06T09:21:05.000Z CYCLE: 9/12 localized +2026-02-06T09:21:15.000Z CYCLE: 9/12 localized +2026-02-06T09:21:25.000Z CYCLE: 9/12 localized +2026-02-06T09:21:35.000Z CYCLE: 9/12 localized +2026-02-06T09:21:45.000Z CYCLE: 9/12 localized +2026-02-06T09:21:55.000Z CYCLE: 9/12 localized +2026-02-06T09:22:05.000Z CYCLE: 9/12 localized +2026-02-06T09:22:15.000Z CYCLE: 9/12 localized +2026-02-06T09:22:26.000Z CYCLE: 9/12 localized +2026-02-06T09:22:36.000Z CYCLE: 9/12 localized +2026-02-06T09:22:46.000Z CYCLE: 9/12 localized +2026-02-06T09:22:56.000Z CYCLE: 9/12 localized +2026-02-06T09:23:06.000Z CYCLE: 9/12 localized +2026-02-06T09:23:16.000Z CYCLE: 9/12 localized +2026-02-06T09:23:26.000Z CYCLE: 9/12 localized +2026-02-06T09:23:36.000Z CYCLE: 9/12 localized +2026-02-06T09:23:46.000Z CYCLE: 9/12 localized +2026-02-06T09:23:56.000Z CYCLE: 9/12 localized +2026-02-06T09:24:07.000Z CYCLE: 9/12 localized +2026-02-06T09:24:17.000Z CYCLE: 9/12 localized +2026-02-06T09:24:27.000Z CYCLE: 9/12 localized +2026-02-06T09:24:37.000Z CYCLE: 9/12 localized +2026-02-06T09:24:47.000Z CYCLE: 9/12 localized +2026-02-06T09:24:57.000Z CYCLE: 9/12 localized +2026-02-06T09:25:07.000Z CYCLE: 9/12 localized +2026-02-06T09:25:17.000Z CYCLE: 9/12 localized +2026-02-06T09:25:27.000Z CYCLE: 9/12 localized +2026-02-06T09:25:37.000Z CYCLE: 9/12 localized +2026-02-06T09:25:47.000Z CYCLE: 9/12 localized +2026-02-06T09:25:58.000Z CYCLE: 9/12 localized +2026-02-06T09:26:08.000Z CYCLE: 9/12 localized +2026-02-06T09:26:18.000Z CYCLE: 9/12 localized +2026-02-06T09:26:28.000Z CYCLE: 9/12 localized +2026-02-06T09:26:38.000Z CYCLE: 9/12 localized +2026-02-06T09:26:48.000Z CYCLE: 9/12 localized +2026-02-06T09:26:58.000Z CYCLE: 9/12 localized +2026-02-06T09:27:08.000Z CYCLE: 9/12 localized +2026-02-06T09:27:18.000Z CYCLE: 9/12 localized +2026-02-06T09:27:29.000Z CYCLE: 9/12 localized +2026-02-06T09:27:39.000Z CYCLE: 9/12 localized +2026-02-06T09:27:49.000Z CYCLE: 9/12 localized +2026-02-06T09:27:59.000Z CYCLE: 9/12 localized +2026-02-06T09:28:09.000Z CYCLE: 9/12 localized +2026-02-06T09:28:19.000Z CYCLE: 9/12 localized +2026-02-06T09:28:29.000Z CYCLE: 9/12 localized +2026-02-06T09:28:39.000Z CYCLE: 9/12 localized +2026-02-06T09:28:49.000Z CYCLE: 9/12 localized +2026-02-06T09:28:59.000Z CYCLE: 9/12 localized +2026-02-06T09:29:10.000Z CYCLE: 9/12 localized +2026-02-06T09:29:20.000Z CYCLE: 9/12 localized +2026-02-06T09:29:30.000Z CYCLE: 9/12 localized +2026-02-06T09:29:40.000Z CYCLE: 9/12 localized +2026-02-06T09:29:50.000Z CYCLE: 9/12 localized +2026-02-06T09:30:00.000Z CYCLE: 9/12 localized +2026-02-06T09:30:10.000Z CYCLE: 9/12 localized +2026-02-06T09:30:20.000Z CYCLE: 9/12 localized +2026-02-06T09:30:30.000Z CYCLE: 9/12 localized +2026-02-06T09:30:40.000Z CYCLE: 9/12 localized +2026-02-06T09:30:51.000Z CYCLE: 9/12 localized +2026-02-06T09:31:01.000Z CYCLE: 9/12 localized +2026-02-06T09:31:11.000Z CYCLE: 9/12 localized +2026-02-06T09:31:21.000Z CYCLE: 9/12 localized +2026-02-06T09:31:31.000Z CYCLE: 9/12 localized +2026-02-06T09:31:41.000Z CYCLE: 9/12 localized +2026-02-06T09:31:51.000Z CYCLE: 9/12 localized +2026-02-06T09:32:01.000Z CYCLE: 9/12 localized +2026-02-06T09:32:11.000Z CYCLE: 9/12 localized +2026-02-06T09:32:21.000Z CYCLE: 9/12 localized +2026-02-06T09:32:32.000Z CYCLE: 9/12 localized +2026-02-06T09:32:42.000Z CYCLE: 9/12 localized +2026-02-06T09:32:52.000Z CYCLE: 9/12 localized +2026-02-06T09:33:02.000Z CYCLE: 9/12 localized +2026-02-06T09:33:12.000Z CYCLE: 9/12 localized +2026-02-06T09:33:22.000Z CYCLE: 9/12 localized +2026-02-06T09:33:32.000Z CYCLE: 9/12 localized +2026-02-06T09:33:42.000Z CYCLE: 9/12 localized +2026-02-06T09:33:52.000Z CYCLE: 9/12 localized +2026-02-06T09:34:02.000Z CYCLE: 9/12 localized +2026-02-06T09:34:13.000Z CYCLE: 9/12 localized +2026-02-06T09:34:23.000Z CYCLE: 9/12 localized +2026-02-06T09:34:33.000Z CYCLE: 9/12 localized +2026-02-06T09:34:43.000Z CYCLE: 9/12 localized +2026-02-06T09:34:53.000Z CYCLE: 9/12 localized +2026-02-06T09:35:03.000Z CYCLE: 9/12 localized +2026-02-06T09:35:13.000Z CYCLE: 9/12 localized +2026-02-06T09:35:23.000Z CYCLE: 9/12 localized +2026-02-06T09:35:33.000Z CYCLE: 9/12 localized +2026-02-06T09:35:43.000Z CYCLE: 9/12 localized +2026-02-06T09:35:54.000Z CYCLE: 9/12 localized +2026-02-06T09:36:04.000Z CYCLE: 9/12 localized +2026-02-06T09:36:14.000Z CYCLE: 9/12 localized +2026-02-06T09:36:24.000Z CYCLE: 9/12 localized +2026-02-06T09:36:34.000Z CYCLE: 9/12 localized +2026-02-06T09:36:44.000Z CYCLE: 9/12 localized +2026-02-06T09:36:54.000Z CYCLE: 9/12 localized +2026-02-06T09:37:04.000Z CYCLE: 9/12 localized +2026-02-06T09:37:14.000Z CYCLE: 9/12 localized +2026-02-06T09:37:24.000Z CYCLE: 9/12 localized +2026-02-06T09:37:35.000Z CYCLE: 9/12 localized +2026-02-06T09:37:45.000Z CYCLE: 9/12 localized +2026-02-06T09:37:55.000Z CYCLE: 9/12 localized +2026-02-06T09:38:05.000Z CYCLE: 9/12 localized +2026-02-06T09:38:15.000Z CYCLE: 9/12 localized +2026-02-06T09:38:25.000Z CYCLE: 9/12 localized +2026-02-06T09:38:35.000Z CYCLE: 9/12 localized +2026-02-06T09:38:45.000Z CYCLE: 9/12 localized +2026-02-06T09:38:55.000Z CYCLE: 9/12 localized +2026-02-06T09:39:05.000Z CYCLE: 9/12 localized +2026-02-06T09:39:15.000Z CYCLE: 9/12 localized +2026-02-06T09:39:26.000Z CYCLE: 9/12 localized +2026-02-06T09:39:36.000Z CYCLE: 9/12 localized +2026-02-06T09:39:46.000Z CYCLE: 9/12 localized +2026-02-06T09:39:56.000Z CYCLE: 9/12 localized +2026-02-06T09:40:06.000Z CYCLE: 9/12 localized +2026-02-06T09:40:16.000Z CYCLE: 9/12 localized +2026-02-06T09:40:26.000Z CYCLE: 9/12 localized +2026-02-06T09:40:36.000Z CYCLE: 9/12 localized +2026-02-06T09:40:46.000Z CYCLE: 9/12 localized +2026-02-06T09:40:56.000Z CYCLE: 9/12 localized +2026-02-06T09:41:07.000Z CYCLE: 9/12 localized +2026-02-06T09:41:17.000Z CYCLE: 9/12 localized +2026-02-06T09:41:27.000Z CYCLE: 9/12 localized +2026-02-06T09:41:37.000Z CYCLE: 9/12 localized +2026-02-06T09:41:47.000Z CYCLE: 9/12 localized +2026-02-06T09:41:57.000Z CYCLE: 9/12 localized +2026-02-06T09:42:07.000Z CYCLE: 9/12 localized +2026-02-06T09:42:17.000Z CYCLE: 9/12 localized +2026-02-06T09:42:27.000Z CYCLE: 9/12 localized +2026-02-06T09:42:38.000Z CYCLE: 9/12 localized +2026-02-06T09:42:48.000Z CYCLE: 9/12 localized +2026-02-06T09:42:58.000Z CYCLE: 9/12 localized +2026-02-06T09:43:08.000Z CYCLE: 9/12 localized +2026-02-06T09:43:18.000Z CYCLE: 9/12 localized +2026-02-06T09:43:28.000Z CYCLE: 9/12 localized +2026-02-06T09:43:38.000Z CYCLE: 9/12 localized +2026-02-06T09:43:48.000Z CYCLE: 9/12 localized +2026-02-06T09:43:58.000Z CYCLE: 9/12 localized +2026-02-06T09:44:09.000Z CYCLE: 9/12 localized +2026-02-06T09:44:19.000Z CYCLE: 9/12 localized +2026-02-06T09:44:29.000Z CYCLE: 9/12 localized +2026-02-06T09:44:39.000Z CYCLE: 9/12 localized +2026-02-06T09:44:49.000Z CYCLE: 9/12 localized +2026-02-06T09:44:59.000Z CYCLE: 9/12 localized +2026-02-06T09:45:09.000Z CYCLE: 9/12 localized +2026-02-06T09:45:19.000Z CYCLE: 9/12 localized +2026-02-06T09:45:29.000Z CYCLE: 9/12 localized +2026-02-06T09:45:39.000Z CYCLE: 9/12 localized +2026-02-06T09:45:50.000Z CYCLE: 9/12 localized +2026-02-06T09:46:00.000Z CYCLE: 9/12 localized +2026-02-06T09:46:10.000Z CYCLE: 9/12 localized +2026-02-06T09:46:20.000Z CYCLE: 9/12 localized +2026-02-06T09:46:30.000Z CYCLE: 9/12 localized +2026-02-06T09:46:40.000Z CYCLE: 9/12 localized +2026-02-06T09:46:50.000Z CYCLE: 9/12 localized +2026-02-06T09:47:00.000Z CYCLE: 9/12 localized +2026-02-06T09:47:10.000Z CYCLE: 9/12 localized +2026-02-06T09:47:21.000Z CYCLE: 9/12 localized +2026-02-06T09:47:31.000Z CYCLE: 9/12 localized +2026-02-06T09:47:41.000Z CYCLE: 9/12 localized +2026-02-06T09:47:51.000Z CYCLE: 9/12 localized +2026-02-06T09:48:01.000Z CYCLE: 9/12 localized +2026-02-06T09:48:11.000Z CYCLE: 9/12 localized +2026-02-06T09:48:21.000Z CYCLE: 9/12 localized +2026-02-06T09:48:31.000Z CYCLE: 9/12 localized +2026-02-06T09:48:41.000Z CYCLE: 9/12 localized +2026-02-06T09:48:51.000Z CYCLE: 9/12 localized +2026-02-06T09:49:01.000Z CYCLE: 9/12 localized +2026-02-06T09:49:12.000Z CYCLE: 9/12 localized +2026-02-06T09:49:22.000Z CYCLE: 9/12 localized +2026-02-06T09:49:32.000Z CYCLE: 9/12 localized +2026-02-06T09:49:42.000Z CYCLE: 9/12 localized +2026-02-06T09:49:52.000Z CYCLE: 9/12 localized +2026-02-06T09:50:02.000Z CYCLE: 9/12 localized +2026-02-06T09:50:12.000Z CYCLE: 9/12 localized +2026-02-06T09:50:22.000Z CYCLE: 9/12 localized +2026-02-06T09:50:32.000Z CYCLE: 9/12 localized +2026-02-06T09:50:43.000Z CYCLE: 9/12 localized +2026-02-06T09:50:53.000Z CYCLE: 9/12 localized +2026-02-06T09:51:03.000Z CYCLE: 9/12 localized +2026-02-06T09:51:13.000Z CYCLE: 9/12 localized +2026-02-06T09:51:23.000Z CYCLE: 9/12 localized +2026-02-06T09:51:33.000Z CYCLE: 9/12 localized +2026-02-06T09:51:43.000Z CYCLE: 9/12 localized +2026-02-06T09:51:53.000Z CYCLE: 9/12 localized +2026-02-06T09:52:03.000Z CYCLE: 9/12 localized +2026-02-06T09:52:13.000Z CYCLE: 9/12 localized +2026-02-06T09:52:23.000Z CYCLE: 9/12 localized +2026-02-06T09:52:34.000Z CYCLE: 9/12 localized +2026-02-06T09:52:44.000Z CYCLE: 9/12 localized +2026-02-06T09:52:54.000Z CYCLE: 9/12 localized +2026-02-06T09:53:04.000Z CYCLE: 9/12 localized +2026-02-06T09:53:14.000Z CYCLE: 9/12 localized +2026-02-06T09:53:24.000Z CYCLE: 9/12 localized +2026-02-06T09:53:34.000Z CYCLE: 9/12 localized +2026-02-06T09:53:44.000Z CYCLE: 9/12 localized +2026-02-06T09:53:54.000Z CYCLE: 9/12 localized +2026-02-06T09:54:04.000Z CYCLE: 9/12 localized +2026-02-06T09:54:15.000Z CYCLE: 9/12 localized +2026-02-06T09:54:25.000Z CYCLE: 9/12 localized +2026-02-06T09:54:35.000Z CYCLE: 9/12 localized +2026-02-06T09:54:45.000Z CYCLE: 9/12 localized +2026-02-06T09:54:55.000Z CYCLE: 9/12 localized +2026-02-06T09:55:05.000Z CYCLE: 9/12 localized +2026-02-06T09:55:16.000Z CYCLE: 9/12 localized +2026-02-06T09:55:26.000Z CYCLE: 9/12 localized +2026-02-06T09:55:36.000Z CYCLE: 9/12 localized +2026-02-06T09:55:46.000Z CYCLE: 9/12 localized +2026-02-06T09:55:56.000Z CYCLE: 9/12 localized +2026-02-06T09:56:06.000Z CYCLE: 9/12 localized +2026-02-06T09:56:16.000Z CYCLE: 9/12 localized +2026-02-06T09:56:26.000Z CYCLE: 9/12 localized +2026-02-06T09:56:36.000Z CYCLE: 9/12 localized +2026-02-06T09:56:46.000Z CYCLE: 9/12 localized +2026-02-06T09:56:57.000Z CYCLE: 9/12 localized +2026-02-06T09:57:07.000Z CYCLE: 9/12 localized +2026-02-06T09:57:17.000Z CYCLE: 9/12 localized +2026-02-06T09:57:27.000Z CYCLE: 9/12 localized +2026-02-06T09:57:37.000Z CYCLE: 9/12 localized +2026-02-06T09:57:47.000Z CYCLE: 9/12 localized +2026-02-06T09:57:57.000Z CYCLE: 9/12 localized +2026-02-06T09:58:07.000Z CYCLE: 9/12 localized +2026-02-06T09:58:17.000Z CYCLE: 9/12 localized +2026-02-06T09:58:28.000Z CYCLE: 9/12 localized +2026-02-06T09:58:38.000Z CYCLE: 9/12 localized +2026-02-06T09:58:48.000Z CYCLE: 9/12 localized +2026-02-06T09:58:58.000Z CYCLE: 9/12 localized +2026-02-06T09:59:08.000Z CYCLE: 9/12 localized +2026-02-06T09:59:18.000Z CYCLE: 9/12 localized +2026-02-06T09:59:28.000Z CYCLE: 9/12 localized +2026-02-06T09:59:38.000Z CYCLE: 9/12 localized +2026-02-06T09:59:48.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T09:59:48.000Z CYCLE: 8/12 localized +2026-02-06T09:59:59.000Z CYCLE: 9/12 localized +2026-02-06T10:00:09.000Z CYCLE: 9/12 localized +2026-02-06T10:00:19.000Z CYCLE: 9/12 localized +2026-02-06T10:00:29.000Z CYCLE: 9/12 localized +2026-02-06T10:00:39.000Z CYCLE: 9/12 localized +2026-02-06T10:00:49.000Z CYCLE: 9/12 localized +2026-02-06T10:00:59.000Z CYCLE: 9/12 localized +2026-02-06T10:01:09.000Z CYCLE: 9/12 localized +2026-02-06T10:01:19.000Z CYCLE: 9/12 localized +2026-02-06T10:01:29.000Z CYCLE: 9/12 localized +2026-02-06T10:01:40.000Z CYCLE: 9/12 localized +2026-02-06T10:01:50.000Z CYCLE: 9/12 localized +2026-02-06T10:02:00.000Z CYCLE: 9/12 localized +2026-02-06T10:02:10.000Z CYCLE: 9/12 localized +2026-02-06T10:02:20.000Z CYCLE: 9/12 localized +2026-02-06T10:02:30.000Z CYCLE: 9/12 localized +2026-02-06T10:02:40.000Z CYCLE: 9/12 localized +2026-02-06T10:02:50.000Z CYCLE: 9/12 localized +2026-02-06T10:03:00.000Z CYCLE: 9/12 localized +2026-02-06T10:03:11.000Z CYCLE: 9/12 localized +2026-02-06T10:03:21.000Z CYCLE: 9/12 localized +2026-02-06T10:03:31.000Z CYCLE: 9/12 localized +2026-02-06T10:03:41.000Z CYCLE: 9/12 localized +2026-02-06T10:03:51.000Z CYCLE: 9/12 localized +2026-02-06T10:04:01.000Z CYCLE: 9/12 localized +2026-02-06T10:04:11.000Z CYCLE: 9/12 localized +2026-02-06T10:04:21.000Z CYCLE: 9/12 localized +2026-02-06T10:04:31.000Z CYCLE: 9/12 localized +2026-02-06T10:04:41.000Z CYCLE: 9/12 localized +2026-02-06T10:04:52.000Z CYCLE: 9/12 localized +2026-02-06T10:05:02.000Z CYCLE: 9/12 localized +2026-02-06T10:05:12.000Z CYCLE: 9/12 localized +2026-02-06T10:05:22.000Z CYCLE: 9/12 localized +2026-02-06T10:05:32.000Z CYCLE: 9/12 localized +2026-02-06T10:05:42.000Z CYCLE: 9/12 localized +2026-02-06T10:05:52.000Z CYCLE: 9/12 localized +2026-02-06T10:06:02.000Z CYCLE: 9/12 localized +2026-02-06T10:06:12.000Z CYCLE: 9/12 localized +2026-02-06T10:06:22.000Z CYCLE: 9/12 localized +2026-02-06T10:06:32.000Z CYCLE: 9/12 localized +2026-02-06T10:06:43.000Z CYCLE: 9/12 localized +2026-02-06T10:06:53.000Z CYCLE: 9/12 localized +2026-02-06T10:07:03.000Z CYCLE: 9/12 localized +2026-02-06T10:07:13.000Z CYCLE: 9/12 localized +2026-02-06T10:07:23.000Z CYCLE: 9/12 localized +2026-02-06T10:07:33.000Z CYCLE: 9/12 localized +2026-02-06T10:07:43.000Z CYCLE: 9/12 localized +2026-02-06T10:07:53.000Z CYCLE: 9/12 localized +2026-02-06T10:08:03.000Z CYCLE: 9/12 localized +2026-02-06T10:08:13.000Z CYCLE: 9/12 localized +2026-02-06T10:08:24.000Z CYCLE: 9/12 localized +2026-02-06T10:08:34.000Z CYCLE: 9/12 localized +2026-02-06T10:08:44.000Z CYCLE: 9/12 localized +2026-02-06T10:08:54.000Z CYCLE: 9/12 localized +2026-02-06T10:09:04.000Z CYCLE: 9/12 localized +2026-02-06T10:09:14.000Z CYCLE: 9/12 localized +2026-02-06T10:09:24.000Z CYCLE: 9/12 localized +2026-02-06T10:09:34.000Z CYCLE: 9/12 localized +2026-02-06T10:09:44.000Z CYCLE: 9/12 localized +2026-02-06T10:09:54.000Z CYCLE: 9/12 localized +2026-02-06T10:10:05.000Z CYCLE: 9/12 localized +2026-02-06T10:10:15.000Z CYCLE: 9/12 localized +2026-02-06T10:10:25.000Z CYCLE: 9/12 localized +2026-02-06T10:10:35.000Z CYCLE: 9/12 localized +2026-02-06T10:10:45.000Z CYCLE: 9/12 localized +2026-02-06T10:10:55.000Z CYCLE: 9/12 localized +2026-02-06T10:11:05.000Z CYCLE: 9/12 localized +2026-02-06T10:11:15.000Z CYCLE: 9/12 localized +2026-02-06T10:11:25.000Z CYCLE: 9/12 localized +2026-02-06T10:11:35.000Z CYCLE: 9/12 localized +2026-02-06T10:11:45.000Z CYCLE: 9/12 localized +2026-02-06T10:11:56.000Z CYCLE: 9/12 localized +2026-02-06T10:12:06.000Z CYCLE: 9/12 localized +2026-02-06T10:12:16.000Z CYCLE: 9/12 localized +2026-02-06T10:12:26.000Z CYCLE: 9/12 localized +2026-02-06T10:12:36.000Z CYCLE: 9/12 localized +2026-02-06T10:12:46.000Z CYCLE: 9/12 localized +2026-02-06T10:12:56.000Z CYCLE: 9/12 localized +2026-02-06T10:13:06.000Z CYCLE: 9/12 localized +2026-02-06T10:13:16.000Z CYCLE: 9/12 localized +2026-02-06T10:13:27.000Z CYCLE: 9/12 localized +2026-02-06T10:13:37.000Z CYCLE: 9/12 localized +2026-02-06T10:13:47.000Z CYCLE: 9/12 localized +2026-02-06T10:13:57.000Z CYCLE: 9/12 localized +2026-02-06T10:14:07.000Z CYCLE: 9/12 localized +2026-02-06T10:14:17.000Z CYCLE: 9/12 localized +2026-02-06T10:14:27.000Z CYCLE: 9/12 localized +2026-02-06T10:14:37.000Z CYCLE: 9/12 localized +2026-02-06T10:14:47.000Z CYCLE: 9/12 localized +2026-02-06T10:14:57.000Z CYCLE: 9/12 localized +2026-02-06T10:15:07.000Z CYCLE: 9/12 localized +2026-02-06T10:15:18.000Z CYCLE: 9/12 localized +2026-02-06T10:15:28.000Z CYCLE: 9/12 localized +2026-02-06T10:15:38.000Z CYCLE: 8/12 localized +2026-02-06T10:15:48.000Z CYCLE: 9/12 localized +2026-02-06T10:15:58.000Z CYCLE: 9/12 localized +2026-02-06T10:16:08.000Z CYCLE: 9/12 localized +2026-02-06T10:16:18.000Z CYCLE: 9/12 localized +2026-02-06T10:16:28.000Z CYCLE: 9/12 localized +2026-02-06T10:16:38.000Z CYCLE: 9/12 localized +2026-02-06T10:16:48.000Z CYCLE: 9/12 localized +2026-02-06T10:16:58.000Z CYCLE: 9/12 localized +2026-02-06T10:17:09.000Z CYCLE: 9/12 localized +2026-02-06T10:17:19.000Z CYCLE: 9/12 localized +2026-02-06T10:17:29.000Z CYCLE: 9/12 localized +2026-02-06T10:17:39.000Z CYCLE: 9/12 localized +2026-02-06T10:17:49.000Z CYCLE: 9/12 localized +2026-02-06T10:17:59.000Z CYCLE: 9/12 localized +2026-02-06T10:18:09.000Z CYCLE: 9/12 localized +2026-02-06T10:18:19.000Z CYCLE: 9/12 localized +2026-02-06T10:18:29.000Z CYCLE: 9/12 localized +2026-02-06T10:18:39.000Z CYCLE: 9/12 localized +2026-02-06T10:18:50.000Z CYCLE: 9/12 localized +2026-02-06T10:19:00.000Z CYCLE: 9/12 localized +2026-02-06T10:19:10.000Z CYCLE: 9/12 localized +2026-02-06T10:19:20.000Z CYCLE: 9/12 localized +2026-02-06T10:19:30.000Z CYCLE: 9/12 localized +2026-02-06T10:19:40.000Z CYCLE: 9/12 localized +2026-02-06T10:19:50.000Z CYCLE: 9/12 localized +2026-02-06T10:20:00.000Z CYCLE: 9/12 localized +2026-02-06T10:20:10.000Z CYCLE: 9/12 localized +2026-02-06T10:20:20.000Z CYCLE: 9/12 localized +2026-02-06T10:20:31.000Z CYCLE: 9/12 localized +2026-02-06T10:20:41.000Z CYCLE: 9/12 localized +2026-02-06T10:20:51.000Z CYCLE: 9/12 localized +2026-02-06T10:21:01.000Z CYCLE: 9/12 localized +2026-02-06T10:21:11.000Z CYCLE: 9/12 localized +2026-02-06T10:21:21.000Z CYCLE: 9/12 localized +2026-02-06T10:21:31.000Z CYCLE: 9/12 localized +2026-02-06T10:21:41.000Z CYCLE: 9/12 localized +2026-02-06T10:21:51.000Z CYCLE: 9/12 localized +2026-02-06T10:22:01.000Z CYCLE: 9/12 localized +2026-02-06T10:22:12.000Z CYCLE: 9/12 localized +2026-02-06T10:22:22.000Z CYCLE: 9/12 localized +2026-02-06T10:22:32.000Z CYCLE: 9/12 localized +2026-02-06T10:22:42.000Z CYCLE: 9/12 localized +2026-02-06T10:22:52.000Z CYCLE: 9/12 localized +2026-02-06T10:23:02.000Z CYCLE: 9/12 localized +2026-02-06T10:23:12.000Z CYCLE: 9/12 localized +2026-02-06T10:23:22.000Z CYCLE: 9/12 localized +2026-02-06T10:23:32.000Z CYCLE: 9/12 localized +2026-02-06T10:23:42.000Z CYCLE: 9/12 localized +2026-02-06T10:23:52.000Z CYCLE: 9/12 localized +2026-02-06T10:24:03.000Z CYCLE: 9/12 localized +2026-02-06T10:24:13.000Z CYCLE: 9/12 localized +2026-02-06T10:24:23.000Z CYCLE: 9/12 localized +2026-02-06T10:24:33.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:24:33.000Z CYCLE: 8/12 localized +2026-02-06T10:24:43.000Z CYCLE: 9/12 localized +2026-02-06T10:24:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:24:53.000Z CYCLE: 8/12 localized +2026-02-06T10:25:03.000Z CYCLE: 9/12 localized +2026-02-06T10:25:13.000Z CYCLE: 9/12 localized +2026-02-06T10:25:23.000Z CYCLE: 9/12 localized +2026-02-06T10:25:33.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:25:33.000Z CYCLE: 8/12 localized +2026-02-06T10:25:44.000Z CYCLE: 9/12 localized +2026-02-06T10:25:54.000Z CYCLE: 9/12 localized +2026-02-06T10:26:04.000Z CYCLE: 9/12 localized +2026-02-06T10:26:14.000Z CYCLE: 9/12 localized +2026-02-06T10:26:24.000Z CYCLE: 9/12 localized +2026-02-06T10:26:34.000Z CYCLE: 9/12 localized +2026-02-06T10:26:44.000Z CYCLE: 9/12 localized +2026-02-06T10:26:54.000Z CYCLE: 9/12 localized +2026-02-06T10:27:04.000Z CYCLE: 9/12 localized +2026-02-06T10:27:14.000Z CYCLE: 9/12 localized +2026-02-06T10:27:25.000Z CYCLE: 9/12 localized +2026-02-06T10:27:35.000Z CYCLE: 9/12 localized +2026-02-06T10:27:45.000Z CYCLE: 9/12 localized +2026-02-06T10:27:55.000Z CYCLE: 9/12 localized +2026-02-06T10:28:05.000Z CYCLE: 9/12 localized +2026-02-06T10:28:15.000Z CYCLE: 9/12 localized +2026-02-06T10:28:25.000Z CYCLE: 9/12 localized +2026-02-06T10:28:35.000Z CYCLE: 9/12 localized +2026-02-06T10:28:45.000Z CYCLE: 9/12 localized +2026-02-06T10:28:56.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:28:56.000Z CYCLE: 8/12 localized +2026-02-06T10:29:06.000Z CYCLE: 9/12 localized +2026-02-06T10:29:16.000Z CYCLE: 9/12 localized +2026-02-06T10:29:26.000Z CYCLE: 9/12 localized +2026-02-06T10:29:36.000Z CYCLE: 9/12 localized +2026-02-06T10:29:46.000Z CYCLE: 9/12 localized +2026-02-06T10:29:56.000Z CYCLE: 9/12 localized +2026-02-06T10:30:06.000Z CYCLE: 9/12 localized +2026-02-06T10:30:16.000Z CYCLE: 9/12 localized +2026-02-06T10:30:26.000Z CYCLE: 9/12 localized +2026-02-06T10:30:37.000Z CYCLE: 9/12 localized +2026-02-06T10:30:47.000Z CYCLE: 9/12 localized +2026-02-06T10:30:57.000Z CYCLE: 9/12 localized +2026-02-06T10:31:07.000Z CYCLE: 9/12 localized +2026-02-06T10:31:17.000Z CYCLE: 9/12 localized +2026-02-06T10:31:27.000Z CYCLE: 9/12 localized +2026-02-06T10:31:37.000Z CYCLE: 9/12 localized +2026-02-06T10:31:47.000Z CYCLE: 9/12 localized +2026-02-06T10:31:57.000Z CYCLE: 9/12 localized +2026-02-06T10:32:07.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:32:07.000Z CYCLE: 8/12 localized +2026-02-06T10:32:17.000Z CYCLE: 9/12 localized +2026-02-06T10:32:27.000Z CYCLE: 9/12 localized +2026-02-06T10:32:38.000Z CYCLE: 9/12 localized +2026-02-06T10:32:48.000Z CYCLE: 9/12 localized +2026-02-06T10:32:58.000Z CYCLE: 9/12 localized +2026-02-06T10:33:08.000Z CYCLE: 9/12 localized +2026-02-06T10:33:18.000Z CYCLE: 9/12 localized +2026-02-06T10:33:28.000Z CYCLE: 9/12 localized +2026-02-06T10:33:38.000Z CYCLE: 9/12 localized +2026-02-06T10:33:48.000Z CYCLE: 9/12 localized +2026-02-06T10:33:58.000Z CYCLE: 9/12 localized +2026-02-06T10:34:08.000Z CYCLE: 9/12 localized +2026-02-06T10:34:19.000Z CYCLE: 9/12 localized +2026-02-06T10:34:29.000Z CYCLE: 9/12 localized +2026-02-06T10:34:39.000Z CYCLE: 9/12 localized +2026-02-06T10:34:49.000Z CYCLE: 9/12 localized +2026-02-06T10:34:59.000Z CYCLE: 9/12 localized +2026-02-06T10:35:09.000Z CYCLE: 9/12 localized +2026-02-06T10:35:19.000Z CYCLE: 9/12 localized +2026-02-06T10:35:29.000Z CYCLE: 9/12 localized +2026-02-06T10:35:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:35:39.000Z CYCLE: 8/12 localized +2026-02-06T10:35:49.000Z CYCLE: 9/12 localized +2026-02-06T10:35:59.000Z CYCLE: 9/12 localized +2026-02-06T10:36:10.000Z CYCLE: 9/12 localized +2026-02-06T10:36:20.000Z CYCLE: 9/12 localized +2026-02-06T10:36:30.000Z CYCLE: 9/12 localized +2026-02-06T10:36:40.000Z CYCLE: 9/12 localized +2026-02-06T10:36:50.000Z CYCLE: 9/12 localized +2026-02-06T10:37:00.000Z CYCLE: 9/12 localized +2026-02-06T10:37:10.000Z CYCLE: 9/12 localized +2026-02-06T10:37:20.000Z CYCLE: 9/12 localized +2026-02-06T10:37:30.000Z CYCLE: 9/12 localized +2026-02-06T10:37:40.000Z CYCLE: 9/12 localized +2026-02-06T10:37:50.000Z CYCLE: 9/12 localized +2026-02-06T10:38:01.000Z CYCLE: 9/12 localized +2026-02-06T10:38:11.000Z CYCLE: 9/12 localized +2026-02-06T10:38:21.000Z CYCLE: 9/12 localized +2026-02-06T10:38:31.000Z CYCLE: 9/12 localized +2026-02-06T10:38:41.000Z CYCLE: 9/12 localized +2026-02-06T10:38:51.000Z CYCLE: 9/12 localized +2026-02-06T10:39:01.000Z CYCLE: 9/12 localized +2026-02-06T10:39:11.000Z CYCLE: 9/12 localized +2026-02-06T10:39:21.000Z CYCLE: 9/12 localized +2026-02-06T10:39:31.000Z CYCLE: 9/12 localized +2026-02-06T10:39:42.000Z CYCLE: 9/12 localized +2026-02-06T10:39:52.000Z CYCLE: 9/12 localized +2026-02-06T10:40:02.000Z CYCLE: 9/12 localized +2026-02-06T10:40:12.000Z CYCLE: 9/12 localized +2026-02-06T10:40:22.000Z CYCLE: 9/12 localized +2026-02-06T10:40:32.000Z CYCLE: 9/12 localized +2026-02-06T10:40:42.000Z CYCLE: 9/12 localized +2026-02-06T10:40:52.000Z CYCLE: 9/12 localized +2026-02-06T10:41:02.000Z CYCLE: 9/12 localized +2026-02-06T10:41:12.000Z CYCLE: 9/12 localized +2026-02-06T10:41:22.000Z CYCLE: 9/12 localized +2026-02-06T10:41:33.000Z CYCLE: 9/12 localized +2026-02-06T10:41:43.000Z CYCLE: 9/12 localized +2026-02-06T10:41:53.000Z CYCLE: 9/12 localized +2026-02-06T10:42:03.000Z CYCLE: 9/12 localized +2026-02-06T10:42:13.000Z CYCLE: 9/12 localized +2026-02-06T10:42:23.000Z CYCLE: 9/12 localized +2026-02-06T10:42:33.000Z CYCLE: 9/12 localized +2026-02-06T10:42:43.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:42:43.000Z CYCLE: 8/12 localized +2026-02-06T10:42:53.000Z CYCLE: 9/12 localized +2026-02-06T10:43:03.000Z CYCLE: 9/12 localized +2026-02-06T10:43:14.000Z CYCLE: 9/12 localized +2026-02-06T10:43:24.000Z CYCLE: 9/12 localized +2026-02-06T10:43:34.000Z CYCLE: 9/12 localized +2026-02-06T10:43:44.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:43:44.000Z CYCLE: 8/12 localized +2026-02-06T10:43:54.000Z CYCLE: 9/12 localized +2026-02-06T10:44:04.000Z CYCLE: 9/12 localized +2026-02-06T10:44:14.000Z CYCLE: 9/12 localized +2026-02-06T10:44:24.000Z CYCLE: 9/12 localized +2026-02-06T10:44:34.000Z CYCLE: 9/12 localized +2026-02-06T10:44:44.000Z CYCLE: 9/12 localized +2026-02-06T10:44:55.000Z CYCLE: 9/12 localized +2026-02-06T10:45:05.000Z CYCLE: 9/12 localized +2026-02-06T10:45:15.000Z CYCLE: 9/12 localized +2026-02-06T10:45:25.000Z CYCLE: 9/12 localized +2026-02-06T10:45:35.000Z CYCLE: 9/12 localized +2026-02-06T10:45:45.000Z CYCLE: 9/12 localized +2026-02-06T10:45:55.000Z CYCLE: 9/12 localized +2026-02-06T10:46:05.000Z CYCLE: 9/12 localized +2026-02-06T10:46:15.000Z CYCLE: 9/12 localized +2026-02-06T10:46:25.000Z CYCLE: 9/12 localized +2026-02-06T10:46:35.000Z CYCLE: 9/12 localized +2026-02-06T10:46:46.000Z CYCLE: 9/12 localized +2026-02-06T10:46:56.000Z CYCLE: 9/12 localized +2026-02-06T10:47:06.000Z CYCLE: 9/12 localized +2026-02-06T10:47:16.000Z CYCLE: 9/12 localized +2026-02-06T10:47:26.000Z CYCLE: 9/12 localized +2026-02-06T10:47:36.000Z CYCLE: 9/12 localized +2026-02-06T10:47:46.000Z CYCLE: 9/12 localized +2026-02-06T10:47:56.000Z CYCLE: 9/12 localized +2026-02-06T10:48:06.000Z CYCLE: 9/12 localized +2026-02-06T10:48:16.000Z CYCLE: 9/12 localized +2026-02-06T10:48:27.000Z CYCLE: 9/12 localized +2026-02-06T10:48:37.000Z CYCLE: 9/12 localized +2026-02-06T10:48:47.000Z CYCLE: 9/12 localized +2026-02-06T10:48:57.000Z CYCLE: 9/12 localized +2026-02-06T10:49:07.000Z CYCLE: 9/12 localized +2026-02-06T10:49:17.000Z CYCLE: 9/12 localized +2026-02-06T10:49:27.000Z CYCLE: 9/12 localized +2026-02-06T10:49:37.000Z CYCLE: 9/12 localized +2026-02-06T10:49:47.000Z CYCLE: 9/12 localized +2026-02-06T10:49:57.000Z CYCLE: 9/12 localized +2026-02-06T10:50:08.000Z CYCLE: 9/12 localized +2026-02-06T10:50:18.000Z CYCLE: 9/12 localized +2026-02-06T10:50:28.000Z CYCLE: 9/12 localized +2026-02-06T10:50:38.000Z CYCLE: 9/12 localized +2026-02-06T10:50:48.000Z CYCLE: 9/12 localized +2026-02-06T10:50:58.000Z CYCLE: 9/12 localized +2026-02-06T10:51:08.000Z CYCLE: 9/12 localized +2026-02-06T10:51:18.000Z CYCLE: 9/12 localized +2026-02-06T10:51:28.000Z CYCLE: 9/12 localized +2026-02-06T10:51:38.000Z CYCLE: 9/12 localized +2026-02-06T10:51:49.000Z CYCLE: 9/12 localized +2026-02-06T10:51:59.000Z CYCLE: 9/12 localized +2026-02-06T10:52:09.000Z CYCLE: 9/12 localized +2026-02-06T10:52:19.000Z CYCLE: 9/12 localized +2026-02-06T10:52:29.000Z CYCLE: 9/12 localized +2026-02-06T10:52:39.000Z CYCLE: 9/12 localized +2026-02-06T10:52:49.000Z CYCLE: 9/12 localized +2026-02-06T10:52:59.000Z CYCLE: 9/12 localized +2026-02-06T10:53:09.000Z CYCLE: 9/12 localized +2026-02-06T10:53:19.000Z CYCLE: 9/12 localized +2026-02-06T10:53:29.000Z CYCLE: 9/12 localized +2026-02-06T10:53:40.000Z CYCLE: 9/12 localized +2026-02-06T10:53:50.000Z CYCLE: 9/12 localized +2026-02-06T10:54:00.000Z CYCLE: 9/12 localized +2026-02-06T10:54:10.000Z CYCLE: 9/12 localized +2026-02-06T10:54:20.000Z CYCLE: 9/12 localized +2026-02-06T10:54:30.000Z CYCLE: 9/12 localized +2026-02-06T10:54:40.000Z CYCLE: 9/12 localized +2026-02-06T10:54:50.000Z CYCLE: 9/12 localized +2026-02-06T10:55:00.000Z CYCLE: 9/12 localized +2026-02-06T10:55:10.000Z CYCLE: 9/12 localized +2026-02-06T10:55:21.000Z CYCLE: 9/12 localized +2026-02-06T10:55:31.000Z CYCLE: 9/12 localized +2026-02-06T10:55:41.000Z CYCLE: 9/12 localized +2026-02-06T10:55:51.000Z CYCLE: 9/12 localized +2026-02-06T10:56:01.000Z CYCLE: 9/12 localized +2026-02-06T10:56:11.000Z CYCLE: 9/12 localized +2026-02-06T10:56:21.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:56:21.000Z CYCLE: 8/12 localized +2026-02-06T10:56:31.000Z CYCLE: 9/12 localized +2026-02-06T10:56:41.000Z CYCLE: 9/12 localized +2026-02-06T10:56:51.000Z CYCLE: 9/12 localized +2026-02-06T10:57:02.000Z CYCLE: 9/12 localized +2026-02-06T10:57:12.000Z CYCLE: 9/12 localized +2026-02-06T10:57:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:57:22.000Z CYCLE: 8/12 localized +2026-02-06T10:57:32.000Z CYCLE: 9/12 localized +2026-02-06T10:57:42.000Z CYCLE: 9/12 localized +2026-02-06T10:57:52.000Z CYCLE: 9/12 localized +2026-02-06T10:58:02.000Z CYCLE: 9/12 localized +2026-02-06T10:58:12.000Z CYCLE: 9/12 localized +2026-02-06T10:58:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:58:22.000Z CYCLE: 8/12 localized +2026-02-06T10:58:32.000Z CYCLE: 9/12 localized +2026-02-06T10:58:43.000Z CYCLE: 9/12 localized +2026-02-06T10:58:53.000Z CYCLE: 9/12 localized +2026-02-06T10:59:03.000Z CYCLE: 9/12 localized +2026-02-06T10:59:13.000Z CYCLE: 9/12 localized +2026-02-06T10:59:23.000Z CYCLE: 9/12 localized +2026-02-06T10:59:33.000Z CYCLE: 9/12 localized +2026-02-06T10:59:43.000Z CYCLE: 9/12 localized +2026-02-06T10:59:53.000Z CYCLE: 9/12 localized +2026-02-06T11:00:03.000Z CYCLE: 9/12 localized +2026-02-06T11:00:13.000Z CYCLE: 9/12 localized +2026-02-06T11:00:23.000Z CYCLE: 9/12 localized +2026-02-06T11:00:34.000Z CYCLE: 9/12 localized +2026-02-06T11:00:44.000Z CYCLE: 9/12 localized +2026-02-06T11:00:54.000Z CYCLE: 9/12 localized +2026-02-06T11:01:04.000Z CYCLE: 9/12 localized +2026-02-06T11:01:14.000Z CYCLE: 9/12 localized +2026-02-06T11:01:24.000Z CYCLE: 9/12 localized +2026-02-06T11:01:34.000Z CYCLE: 9/12 localized +2026-02-06T11:01:44.000Z CYCLE: 9/12 localized +2026-02-06T11:01:54.000Z CYCLE: 9/12 localized +2026-02-06T11:02:04.000Z CYCLE: 9/12 localized +2026-02-06T11:02:15.000Z CYCLE: 9/12 localized +2026-02-06T11:02:25.000Z CYCLE: 9/12 localized +2026-02-06T11:02:35.000Z CYCLE: 9/12 localized +2026-02-06T11:02:45.000Z CYCLE: 9/12 localized +2026-02-06T11:02:55.000Z CYCLE: 9/12 localized +2026-02-06T11:03:05.000Z CYCLE: 9/12 localized +2026-02-06T11:03:15.000Z CYCLE: 9/12 localized +2026-02-06T11:03:25.000Z CYCLE: 9/12 localized +2026-02-06T11:03:35.000Z CYCLE: 9/12 localized +2026-02-06T11:03:46.000Z CYCLE: 9/12 localized +2026-02-06T11:03:56.000Z CYCLE: 9/12 localized +2026-02-06T11:04:06.000Z CYCLE: 9/12 localized +2026-02-06T11:04:16.000Z CYCLE: 9/12 localized +2026-02-06T11:04:26.000Z CYCLE: 9/12 localized +2026-02-06T11:04:36.000Z CYCLE: 9/12 localized +2026-02-06T11:04:46.000Z CYCLE: 9/12 localized +2026-02-06T11:04:56.000Z CYCLE: 9/12 localized +2026-02-06T11:05:06.000Z CYCLE: 9/12 localized +2026-02-06T11:05:16.000Z CYCLE: 9/12 localized +2026-02-06T11:05:27.000Z CYCLE: 9/12 localized +2026-02-06T11:05:37.000Z CYCLE: 9/12 localized +2026-02-06T11:05:47.000Z CYCLE: 9/12 localized +2026-02-06T11:05:57.000Z CYCLE: 9/12 localized +2026-02-06T11:06:07.000Z CYCLE: 9/12 localized +2026-02-06T11:06:17.000Z CYCLE: 9/12 localized +2026-02-06T11:06:27.000Z CYCLE: 9/12 localized +2026-02-06T11:06:37.000Z CYCLE: 9/12 localized +2026-02-06T11:06:47.000Z CYCLE: 9/12 localized +2026-02-06T11:06:58.000Z CYCLE: 9/12 localized +2026-02-06T11:07:08.000Z CYCLE: 9/12 localized +2026-02-06T11:07:18.000Z CYCLE: 9/12 localized +2026-02-06T11:07:28.000Z CYCLE: 9/12 localized +2026-02-06T11:07:38.000Z CYCLE: 9/12 localized +2026-02-06T11:07:48.000Z CYCLE: 9/12 localized +2026-02-06T11:07:58.000Z CYCLE: 9/12 localized +2026-02-06T11:08:08.000Z CYCLE: 9/12 localized +2026-02-06T11:08:18.000Z CYCLE: 9/12 localized +2026-02-06T11:08:28.000Z CYCLE: 9/12 localized +2026-02-06T11:08:39.000Z CYCLE: 9/12 localized +2026-02-06T11:08:49.000Z CYCLE: 9/12 localized +2026-02-06T11:08:59.000Z CYCLE: 9/12 localized +2026-02-06T11:09:09.000Z CYCLE: 9/12 localized +2026-02-06T11:09:19.000Z CYCLE: 9/12 localized +2026-02-06T11:09:29.000Z CYCLE: 9/12 localized +2026-02-06T11:09:39.000Z CYCLE: 9/12 localized +2026-02-06T11:09:49.000Z CYCLE: 9/12 localized +2026-02-06T11:09:59.000Z CYCLE: 9/12 localized +2026-02-06T11:10:09.000Z CYCLE: 9/12 localized +2026-02-06T11:10:19.000Z CYCLE: 9/12 localized +2026-02-06T11:10:30.000Z CYCLE: 9/12 localized +2026-02-06T11:10:40.000Z CYCLE: 9/12 localized +2026-02-06T11:10:50.000Z CYCLE: 9/12 localized +2026-02-06T11:11:00.000Z CYCLE: 9/12 localized +2026-02-06T11:11:10.000Z CYCLE: 9/12 localized +2026-02-06T11:11:20.000Z CYCLE: 9/12 localized +2026-02-06T11:11:30.000Z CYCLE: 9/12 localized +2026-02-06T11:11:40.000Z CYCLE: 9/12 localized +2026-02-06T11:11:50.000Z CYCLE: 9/12 localized +2026-02-06T11:12:01.000Z CYCLE: 9/12 localized +2026-02-06T11:12:11.000Z CYCLE: 9/12 localized +2026-02-06T11:12:21.000Z CYCLE: 9/12 localized +2026-02-06T11:12:31.000Z CYCLE: 9/12 localized +2026-02-06T11:12:41.000Z CYCLE: 9/12 localized +2026-02-06T11:12:51.000Z CYCLE: 9/12 localized +2026-02-06T11:13:01.000Z CYCLE: 9/12 localized +2026-02-06T11:13:11.000Z CYCLE: 9/12 localized +2026-02-06T11:13:21.000Z CYCLE: 9/12 localized +2026-02-06T11:13:32.000Z CYCLE: 9/12 localized +2026-02-06T11:13:42.000Z CYCLE: 9/12 localized +2026-02-06T11:13:52.000Z CYCLE: 9/12 localized +2026-02-06T11:14:02.000Z CYCLE: 9/12 localized +2026-02-06T11:14:12.000Z CYCLE: 9/12 localized +2026-02-06T11:14:22.000Z CYCLE: 9/12 localized +2026-02-06T11:14:32.000Z CYCLE: 9/12 localized +2026-02-06T11:14:42.000Z CYCLE: 9/12 localized +2026-02-06T11:14:52.000Z CYCLE: 9/12 localized +2026-02-06T11:15:02.000Z CYCLE: 9/12 localized +2026-02-06T11:15:13.000Z CYCLE: 9/12 localized +2026-02-06T11:15:23.000Z CYCLE: 9/12 localized +2026-02-06T11:15:33.000Z CYCLE: 9/12 localized +2026-02-06T11:15:43.000Z CYCLE: 9/12 localized +2026-02-06T11:15:53.000Z CYCLE: 9/12 localized +2026-02-06T11:16:03.000Z CYCLE: 9/12 localized +2026-02-06T11:16:13.000Z CYCLE: 9/12 localized +2026-02-06T11:16:23.000Z CYCLE: 9/12 localized +2026-02-06T11:16:33.000Z CYCLE: 9/12 localized +2026-02-06T11:16:43.000Z CYCLE: 9/12 localized +2026-02-06T11:16:54.000Z CYCLE: 9/12 localized +2026-02-06T11:17:04.000Z CYCLE: 9/12 localized +2026-02-06T11:17:14.000Z CYCLE: 9/12 localized +2026-02-06T11:17:24.000Z CYCLE: 9/12 localized +2026-02-06T11:17:34.000Z CYCLE: 9/12 localized +2026-02-06T11:17:44.000Z CYCLE: 9/12 localized +2026-02-06T11:17:54.000Z CYCLE: 9/12 localized +2026-02-06T11:18:04.000Z CYCLE: 9/12 localized +alized +2026-02-06T10:11:48.000Z CYCLE: 9/12 localized +2026-02-06T10:11:51.000Z CYCLE: 9/12 localized +2026-02-06T10:11:58.000Z CYCLE: 9/12 localized +2026-02-06T10:12:01.000Z CYCLE: 9/12 localized +2026-02-06T10:12:09.000Z CYCLE: 9/12 localized +2026-02-06T10:12:11.000Z CYCLE: 9/12 localized +2026-02-06T10:12:19.000Z CYCLE: 9/12 localized +2026-02-06T10:12:21.000Z CYCLE: 9/12 localized +2026-02-06T10:12:29.000Z CYCLE: 9/12 localized +2026-02-06T10:12:31.000Z CYCLE: 9/12 localized +2026-02-06T10:12:39.000Z CYCLE: 9/12 localized +2026-02-06T10:12:41.000Z CYCLE: 9/12 localized +2026-02-06T10:12:49.000Z CYCLE: 9/12 localized +2026-02-06T10:12:51.000Z CYCLE: 9/12 localized +2026-02-06T10:12:59.000Z CYCLE: 9/12 localized +2026-02-06T10:13:01.000Z CYCLE: 9/12 localized +2026-02-06T10:13:09.000Z CYCLE: 9/12 localized +2026-02-06T10:13:11.000Z CYCLE: 9/12 localized +2026-02-06T10:13:19.000Z CYCLE: 9/12 localized +2026-02-06T10:13:22.000Z CYCLE: 9/12 localized +2026-02-06T10:13:29.000Z CYCLE: 9/12 localized +2026-02-06T10:13:32.000Z CYCLE: 9/12 localized +2026-02-06T10:13:39.000Z CYCLE: 9/12 localized +2026-02-06T10:13:42.000Z CYCLE: 9/12 localized +2026-02-06T10:13:50.000Z CYCLE: 9/12 localized +2026-02-06T10:13:52.000Z CYCLE: 9/12 localized +2026-02-06T10:14:00.000Z CYCLE: 9/12 localized +2026-02-06T10:14:02.000Z CYCLE: 9/12 localized +2026-02-06T10:14:10.000Z CYCLE: 9/12 localized +2026-02-06T10:14:12.000Z CYCLE: 9/12 localized +2026-02-06T10:14:20.000Z CYCLE: 9/12 localized +2026-02-06T10:14:22.000Z CYCLE: 9/12 localized +2026-02-06T10:14:30.000Z CYCLE: 9/12 localized +2026-02-06T10:14:32.000Z CYCLE: 9/12 localized +2026-02-06T10:14:40.000Z CYCLE: 9/12 localized +2026-02-06T10:14:42.000Z CYCLE: 9/12 localized +2026-02-06T10:14:50.000Z CYCLE: 9/12 localized +2026-02-06T10:14:52.000Z CYCLE: 9/12 localized +2026-02-06T10:15:00.000Z CYCLE: 9/12 localized +2026-02-06T10:15:03.000Z CYCLE: 9/12 localized +2026-02-06T10:15:10.000Z CYCLE: 9/12 localized +2026-02-06T10:15:13.000Z CYCLE: 9/12 localized +2026-02-06T10:15:20.000Z CYCLE: 9/12 localized +2026-02-06T10:15:23.000Z CYCLE: 9/12 localized +2026-02-06T10:15:31.000Z CYCLE: 9/12 localized +2026-02-06T10:15:33.000Z CYCLE: 9/12 localized +2026-02-06T10:15:41.000Z CYCLE: 9/12 localized +2026-02-06T10:15:43.000Z CYCLE: 9/12 localized +2026-02-06T10:15:51.000Z CYCLE: 9/12 localized +2026-02-06T10:15:53.000Z CYCLE: 9/12 localized +2026-02-06T10:16:01.000Z CYCLE: 9/12 localized +2026-02-06T10:16:03.000Z CYCLE: 9/12 localized +2026-02-06T10:16:11.000Z CYCLE: 9/12 localized +2026-02-06T10:16:13.000Z CYCLE: 9/12 localized +2026-02-06T10:16:21.000Z CYCLE: 9/12 localized +2026-02-06T10:16:23.000Z CYCLE: 9/12 localized +2026-02-06T10:16:31.000Z CYCLE: 9/12 localized +2026-02-06T10:16:33.000Z CYCLE: 9/12 localized +2026-02-06T10:16:41.000Z CYCLE: 9/12 localized +2026-02-06T10:16:44.000Z CYCLE: 9/12 localized +2026-02-06T10:16:51.000Z CYCLE: 9/12 localized +2026-02-06T10:16:54.000Z CYCLE: 9/12 localized +2026-02-06T10:17:01.000Z CYCLE: 9/12 localized +2026-02-06T10:17:04.000Z CYCLE: 9/12 localized +2026-02-06T10:17:11.000Z CYCLE: 9/12 localized +2026-02-06T10:17:14.000Z CYCLE: 9/12 localized +2026-02-06T10:17:22.000Z CYCLE: 9/12 localized +2026-02-06T10:17:24.000Z CYCLE: 9/12 localized +2026-02-06T10:17:32.000Z CYCLE: 9/12 localized +2026-02-06T10:17:34.000Z CYCLE: 9/12 localized +2026-02-06T10:17:42.000Z CYCLE: 9/12 localized +2026-02-06T10:17:44.000Z CYCLE: 9/12 localized +2026-02-06T10:17:52.000Z CYCLE: 9/12 localized +2026-02-06T10:17:54.000Z CYCLE: 9/12 localized +2026-02-06T10:18:02.000Z CYCLE: 9/12 localized +2026-02-06T10:18:04.000Z CYCLE: 9/12 localized +2026-02-06T10:18:12.000Z CYCLE: 9/12 localized +2026-02-06T10:18:14.000Z CYCLE: 9/12 localized +2026-02-06T10:18:22.000Z CYCLE: 9/12 localized +2026-02-06T10:18:25.000Z CYCLE: 9/12 localized +2026-02-06T10:18:32.000Z CYCLE: 9/12 localized +2026-02-06T10:18:35.000Z CYCLE: 9/12 localized +2026-02-06T10:18:42.000Z CYCLE: 9/12 localized +2026-02-06T10:18:45.000Z CYCLE: 9/12 localized +2026-02-06T10:18:53.000Z CYCLE: 9/12 localized +2026-02-06T10:18:55.000Z CYCLE: 9/12 localized +2026-02-06T10:19:03.000Z CYCLE: 9/12 localized +2026-02-06T10:19:05.000Z CYCLE: 9/12 localized +2026-02-06T10:19:13.000Z CYCLE: 9/12 localized +2026-02-06T10:19:15.000Z CYCLE: 9/12 localized +2026-02-06T10:19:23.000Z CYCLE: 9/12 localized +2026-02-06T10:19:25.000Z CYCLE: 9/12 localized +2026-02-06T10:19:33.000Z CYCLE: 9/12 localized +2026-02-06T10:19:35.000Z CYCLE: 9/12 localized +2026-02-06T10:19:43.000Z CYCLE: 9/12 localized +2026-02-06T10:19:45.000Z CYCLE: 9/12 localized +2026-02-06T10:19:53.000Z CYCLE: 9/12 localized +2026-02-06T10:19:55.000Z CYCLE: 9/12 localized +2026-02-06T10:20:03.000Z CYCLE: 9/12 localized +2026-02-06T10:20:06.000Z CYCLE: 9/12 localized +2026-02-06T10:20:13.000Z CYCLE: 9/12 localized +2026-02-06T10:20:16.000Z CYCLE: 9/12 localized +2026-02-06T10:20:24.000Z CYCLE: 9/12 localized +2026-02-06T10:20:26.000Z CYCLE: 9/12 localized +2026-02-06T10:20:34.000Z CYCLE: 9/12 localized +2026-02-06T10:20:36.000Z CYCLE: 9/12 localized +2026-02-06T10:20:44.000Z CYCLE: 9/12 localized +2026-02-06T10:20:46.000Z CYCLE: 9/12 localized +2026-02-06T10:20:54.000Z CYCLE: 9/12 localized +2026-02-06T10:20:56.000Z CYCLE: 9/12 localized +2026-02-06T10:21:04.000Z CYCLE: 9/12 localized +2026-02-06T10:21:06.000Z CYCLE: 9/12 localized +2026-02-06T10:21:14.000Z CYCLE: 9/12 localized +2026-02-06T10:21:16.000Z CYCLE: 9/12 localized +2026-02-06T10:21:24.000Z CYCLE: 9/12 localized +2026-02-06T10:21:26.000Z CYCLE: 9/12 localized +2026-02-06T10:21:34.000Z CYCLE: 9/12 localized +2026-02-06T10:21:36.000Z CYCLE: 9/12 localized +2026-02-06T10:21:44.000Z CYCLE: 9/12 localized +2026-02-06T10:21:47.000Z CYCLE: 9/12 localized +2026-02-06T10:21:55.000Z CYCLE: 9/12 localized +2026-02-06T10:21:57.000Z CYCLE: 9/12 localized +2026-02-06T10:22:05.000Z CYCLE: 9/12 localized +2026-02-06T10:22:07.000Z CYCLE: 9/12 localized +2026-02-06T10:22:15.000Z CYCLE: 9/12 localized +2026-02-06T10:22:17.000Z CYCLE: 9/12 localized +2026-02-06T10:22:25.000Z CYCLE: 9/12 localized +2026-02-06T10:22:27.000Z CYCLE: 9/12 localized +2026-02-06T10:22:35.000Z CYCLE: 9/12 localized +2026-02-06T10:22:37.000Z CYCLE: 9/12 localized +2026-02-06T10:22:45.000Z CYCLE: 9/12 localized +2026-02-06T10:22:47.000Z CYCLE: 9/12 localized +2026-02-06T10:22:55.000Z CYCLE: 9/12 localized +2026-02-06T10:22:57.000Z CYCLE: 9/12 localized +2026-02-06T10:23:05.000Z CYCLE: 9/12 localized +2026-02-06T10:23:07.000Z CYCLE: 9/12 localized +2026-02-06T10:23:15.000Z CYCLE: 9/12 localized +2026-02-06T10:23:17.000Z CYCLE: 9/12 localized +2026-02-06T10:23:25.000Z CYCLE: 9/12 localized +2026-02-06T10:23:27.000Z CYCLE: 9/12 localized +2026-02-06T10:23:36.000Z CYCLE: 9/12 localized +2026-02-06T10:23:38.000Z CYCLE: 9/12 localized +2026-02-06T10:23:46.000Z CYCLE: 9/12 localized +2026-02-06T10:23:48.000Z CYCLE: 9/12 localized +2026-02-06T10:23:56.000Z CYCLE: 9/12 localized +2026-02-06T10:23:58.000Z CYCLE: 9/12 localized +2026-02-06T10:24:06.000Z CYCLE: 9/12 localized +2026-02-06T10:24:08.000Z CYCLE: 9/12 localized +2026-02-06T10:24:16.000Z CYCLE: 9/12 localized +2026-02-06T10:24:18.000Z CYCLE: 9/12 localized +2026-02-06T10:24:26.000Z CYCLE: 9/12 localized +2026-02-06T10:24:28.000Z CYCLE: 9/12 localized +2026-02-06T10:24:36.000Z CYCLE: 9/12 localized +2026-02-06T10:24:38.000Z CYCLE: 9/12 localized +2026-02-06T10:24:46.000Z CYCLE: 9/12 localized +2026-02-06T10:24:48.000Z CYCLE: 9/12 localized +2026-02-06T10:24:56.000Z CYCLE: 9/12 localized +2026-02-06T10:24:58.000Z CYCLE: 9/12 localized +2026-02-06T10:25:06.000Z CYCLE: 9/12 localized +2026-02-06T10:25:08.000Z CYCLE: 9/12 localized +2026-02-06T10:25:16.000Z CYCLE: 9/12 localized +2026-02-06T10:25:19.000Z CYCLE: 9/12 localized +2026-02-06T10:25:27.000Z CYCLE: 9/12 localized +2026-02-06T10:25:29.000Z CYCLE: 9/12 localized +2026-02-06T10:25:37.000Z CYCLE: 9/12 localized +2026-02-06T10:25:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:25:39.000Z CYCLE: 8/12 localized +2026-02-06T10:25:47.000Z CYCLE: 9/12 localized +2026-02-06T10:25:49.000Z CYCLE: 9/12 localized +2026-02-06T10:25:57.000Z CYCLE: 9/12 localized +2026-02-06T10:25:59.000Z CYCLE: 9/12 localized +2026-02-06T10:26:07.000Z CYCLE: 9/12 localized +2026-02-06T10:26:09.000Z CYCLE: 9/12 localized +2026-02-06T10:26:17.000Z CYCLE: 9/12 localized +2026-02-06T10:26:19.000Z CYCLE: 9/12 localized +2026-02-06T10:26:27.000Z CYCLE: 9/12 localized +2026-02-06T10:26:29.000Z CYCLE: 9/12 localized +2026-02-06T10:26:37.000Z CYCLE: 9/12 localized +2026-02-06T10:26:39.000Z CYCLE: 9/12 localized +2026-02-06T10:26:47.000Z CYCLE: 9/12 localized +2026-02-06T10:26:49.000Z CYCLE: 9/12 localized +2026-02-06T10:26:58.000Z CYCLE: 9/12 localized +2026-02-06T10:26:59.000Z CYCLE: 9/12 localized +2026-02-06T10:27:08.000Z CYCLE: 9/12 localized +2026-02-06T10:27:10.000Z CYCLE: 9/12 localized +2026-02-06T10:27:18.000Z CYCLE: 9/12 localized +2026-02-06T10:27:20.000Z CYCLE: 9/12 localized +2026-02-06T10:27:28.000Z CYCLE: 9/12 localized +2026-02-06T10:27:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:27:30.000Z CYCLE: 8/12 localized +2026-02-06T10:27:38.000Z CYCLE: 9/12 localized +2026-02-06T10:27:40.000Z CYCLE: 9/12 localized +2026-02-06T10:27:48.000Z CYCLE: 9/12 localized +2026-02-06T10:27:50.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:27:50.000Z CYCLE: 8/12 localized +2026-02-06T10:27:58.000Z CYCLE: 9/12 localized +2026-02-06T10:28:00.000Z CYCLE: 9/12 localized +2026-02-06T10:28:08.000Z CYCLE: 9/12 localized +2026-02-06T10:28:10.000Z CYCLE: 9/12 localized +2026-02-06T10:28:18.000Z CYCLE: 9/12 localized +2026-02-06T10:28:20.000Z CYCLE: 9/12 localized +2026-02-06T10:28:29.000Z CYCLE: 9/12 localized +2026-02-06T10:28:30.000Z CYCLE: 9/12 localized +2026-02-06T10:28:39.000Z CYCLE: 9/12 localized +2026-02-06T10:28:40.000Z CYCLE: 9/12 localized +2026-02-06T10:28:49.000Z CYCLE: 9/12 localized +2026-02-06T10:28:51.000Z CYCLE: 9/12 localized +2026-02-06T10:28:59.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:28:59.000Z CYCLE: 8/12 localized +2026-02-06T10:29:01.000Z CYCLE: 9/12 localized +2026-02-06T10:29:09.000Z CYCLE: 9/12 localized +2026-02-06T10:29:11.000Z CYCLE: 9/12 localized +2026-02-06T10:29:19.000Z CYCLE: 9/12 localized +2026-02-06T10:29:21.000Z CYCLE: 9/12 localized +2026-02-06T10:29:29.000Z CYCLE: 9/12 localized +2026-02-06T10:29:31.000Z CYCLE: 9/12 localized +2026-02-06T10:29:39.000Z CYCLE: 9/12 localized +2026-02-06T10:29:41.000Z CYCLE: 9/12 localized +2026-02-06T10:29:49.000Z CYCLE: 9/12 localized +2026-02-06T10:29:51.000Z CYCLE: 9/12 localized +2026-02-06T10:30:00.000Z CYCLE: 9/12 localized +2026-02-06T10:30:01.000Z CYCLE: 9/12 localized +2026-02-06T10:30:10.000Z CYCLE: 9/12 localized +2026-02-06T10:30:11.000Z CYCLE: 9/12 localized +2026-02-06T10:30:20.000Z CYCLE: 9/12 localized +2026-02-06T10:30:22.000Z CYCLE: 9/12 localized +2026-02-06T10:30:30.000Z CYCLE: 9/12 localized +2026-02-06T10:30:32.000Z CYCLE: 9/12 localized +2026-02-06T10:30:40.000Z CYCLE: 9/12 localized +2026-02-06T10:30:42.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:30:42.000Z CYCLE: 8/12 localized +2026-02-06T10:30:50.000Z CYCLE: 9/12 localized +2026-02-06T10:30:52.000Z CYCLE: 9/12 localized +2026-02-06T10:31:00.000Z CYCLE: 9/12 localized +2026-02-06T10:31:02.000Z CYCLE: 9/12 localized +2026-02-06T10:31:10.000Z CYCLE: 9/12 localized +2026-02-06T10:31:12.000Z CYCLE: 9/12 localized +2026-02-06T10:31:20.000Z CYCLE: 9/12 localized +2026-02-06T10:31:22.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:31:22.000Z CYCLE: 8/12 localized +2026-02-06T10:31:30.000Z CYCLE: 9/12 localized +2026-02-06T10:31:32.000Z CYCLE: 9/12 localized +2026-02-06T10:31:40.000Z CYCLE: 9/12 localized +2026-02-06T10:31:42.000Z CYCLE: 9/12 localized +2026-02-06T10:31:51.000Z CYCLE: 9/12 localized +2026-02-06T10:31:52.000Z CYCLE: 9/12 localized +2026-02-06T10:32:01.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:32:01.000Z CYCLE: 8/12 localized +2026-02-06T10:32:02.000Z CYCLE: 9/12 localized +2026-02-06T10:32:11.000Z CYCLE: 9/12 localized +2026-02-06T10:32:13.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:32:13.000Z CYCLE: 8/12 localized +2026-02-06T10:32:21.000Z CYCLE: 9/12 localized +2026-02-06T10:32:23.000Z CYCLE: 9/12 localized +2026-02-06T10:32:31.000Z CYCLE: 9/12 localized +2026-02-06T10:32:33.000Z CYCLE: 9/12 localized +2026-02-06T10:32:41.000Z CYCLE: 9/12 localized +2026-02-06T10:32:43.000Z CYCLE: 9/12 localized +2026-02-06T10:32:51.000Z CYCLE: 9/12 localized +2026-02-06T10:32:53.000Z CYCLE: 9/12 localized +2026-02-06T10:33:01.000Z CYCLE: 9/12 localized +2026-02-06T10:33:03.000Z CYCLE: 9/12 localized +2026-02-06T10:33:11.000Z CYCLE: 9/12 localized +2026-02-06T10:33:13.000Z CYCLE: 9/12 localized +2026-02-06T10:33:21.000Z CYCLE: 9/12 localized +2026-02-06T10:33:23.000Z CYCLE: 9/12 localized +2026-02-06T10:33:32.000Z CYCLE: 9/12 localized +2026-02-06T10:33:33.000Z CYCLE: 9/12 localized +2026-02-06T10:33:42.000Z CYCLE: 9/12 localized +2026-02-06T10:33:43.000Z CYCLE: 9/12 localized +2026-02-06T10:33:52.000Z CYCLE: 9/12 localized +2026-02-06T10:33:54.000Z CYCLE: 9/12 localized +2026-02-06T10:34:02.000Z CYCLE: 9/12 localized +2026-02-06T10:34:04.000Z CYCLE: 9/12 localized +2026-02-06T10:34:12.000Z CYCLE: 9/12 localized +2026-02-06T10:34:14.000Z CYCLE: 9/12 localized +2026-02-06T10:34:22.000Z CYCLE: 9/12 localized +2026-02-06T10:34:24.000Z CYCLE: 9/12 localized +2026-02-06T10:34:32.000Z CYCLE: 9/12 localized +2026-02-06T10:34:34.000Z CYCLE: 9/12 localized +2026-02-06T10:34:42.000Z CYCLE: 9/12 localized +2026-02-06T10:34:44.000Z CYCLE: 9/12 localized +2026-02-06T10:34:52.000Z CYCLE: 9/12 localized +2026-02-06T10:34:54.000Z CYCLE: 9/12 localized +2026-02-06T10:35:02.000Z CYCLE: 9/12 localized +2026-02-06T10:35:04.000Z CYCLE: 9/12 localized +2026-02-06T10:35:13.000Z CYCLE: 9/12 localized +2026-02-06T10:35:14.000Z CYCLE: 9/12 localized +2026-02-06T10:35:23.000Z CYCLE: 9/12 localized +2026-02-06T10:35:24.000Z CYCLE: 9/12 localized +2026-02-06T10:35:33.000Z CYCLE: 9/12 localized +2026-02-06T10:35:34.000Z CYCLE: 9/12 localized +2026-02-06T10:35:43.000Z CYCLE: 9/12 localized +2026-02-06T10:35:45.000Z CYCLE: 9/12 localized +2026-02-06T10:35:53.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:35:53.000Z CYCLE: 8/12 localized +2026-02-06T10:35:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:35:55.000Z CYCLE: 8/12 localized +2026-02-06T10:36:03.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:36:03.000Z CYCLE: 8/12 localized +2026-02-06T10:36:05.000Z CYCLE: 9/12 localized +2026-02-06T10:36:13.000Z CYCLE: 9/12 localized +2026-02-06T10:36:15.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:36:15.000Z CYCLE: 8/12 localized +2026-02-06T10:36:23.000Z CYCLE: 9/12 localized +2026-02-06T10:36:25.000Z CYCLE: 9/12 localized +2026-02-06T10:36:33.000Z CYCLE: 9/12 localized +2026-02-06T10:36:35.000Z CYCLE: 9/12 localized +2026-02-06T10:36:43.000Z CYCLE: 9/12 localized +2026-02-06T10:36:45.000Z CYCLE: 9/12 localized +2026-02-06T10:36:54.000Z CYCLE: 9/12 localized +2026-02-06T10:36:55.000Z CYCLE: 9/12 localized +2026-02-06T10:37:04.000Z CYCLE: 9/12 localized +2026-02-06T10:37:05.000Z CYCLE: 9/12 localized +2026-02-06T10:37:14.000Z CYCLE: 9/12 localized +2026-02-06T10:37:15.000Z CYCLE: 9/12 localized +2026-02-06T10:37:24.000Z CYCLE: 9/12 localized +2026-02-06T10:37:26.000Z CYCLE: 9/12 localized +2026-02-06T10:37:34.000Z CYCLE: 9/12 localized +2026-02-06T10:37:36.000Z CYCLE: 9/12 localized +2026-02-06T10:37:44.000Z CYCLE: 9/12 localized +2026-02-06T10:37:46.000Z CYCLE: 9/12 localized +2026-02-06T10:37:54.000Z CYCLE: 9/12 localized +2026-02-06T10:37:56.000Z CYCLE: 9/12 localized +2026-02-06T10:38:04.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:38:04.000Z CYCLE: 8/12 localized +2026-02-06T10:38:06.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:38:06.000Z CYCLE: 8/12 localized +2026-02-06T10:38:14.000Z CYCLE: 9/12 localized +2026-02-06T10:38:16.000Z CYCLE: 9/12 localized +2026-02-06T10:38:24.000Z CYCLE: 9/12 localized +2026-02-06T10:38:26.000Z CYCLE: 9/12 localized +2026-02-06T10:38:35.000Z CYCLE: 9/12 localized +2026-02-06T10:38:36.000Z CYCLE: 9/12 localized +2026-02-06T10:38:45.000Z CYCLE: 9/12 localized +2026-02-06T10:38:46.000Z CYCLE: 9/12 localized +2026-02-06T10:38:55.000Z CYCLE: 9/12 localized +2026-02-06T10:38:56.000Z CYCLE: 9/12 localized +2026-02-06T10:39:05.000Z CYCLE: 9/12 localized +2026-02-06T10:39:07.000Z CYCLE: 9/12 localized +2026-02-06T10:39:15.000Z CYCLE: 9/12 localized +2026-02-06T10:39:17.000Z CYCLE: 9/12 localized +2026-02-06T10:39:25.000Z CYCLE: 9/12 localized +2026-02-06T10:39:27.000Z CYCLE: 9/12 localized +2026-02-06T10:39:35.000Z CYCLE: 9/12 localized +2026-02-06T10:39:37.000Z CYCLE: 9/12 localized +2026-02-06T10:39:45.000Z CYCLE: 9/12 localized +2026-02-06T10:39:47.000Z CYCLE: 9/12 localized +2026-02-06T10:39:55.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:39:55.000Z CYCLE: 8/12 localized +2026-02-06T10:39:57.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:39:57.000Z CYCLE: 8/12 localized +2026-02-06T10:40:05.000Z CYCLE: 9/12 localized +2026-02-06T10:40:07.000Z CYCLE: 9/12 localized +2026-02-06T10:40:16.000Z CYCLE: 9/12 localized +2026-02-06T10:40:17.000Z CYCLE: 9/12 localized +2026-02-06T10:40:26.000Z CYCLE: 9/12 localized +2026-02-06T10:40:27.000Z CYCLE: 9/12 localized +2026-02-06T10:40:36.000Z CYCLE: 9/12 localized +2026-02-06T10:40:37.000Z CYCLE: 9/12 localized +2026-02-06T10:40:46.000Z CYCLE: 9/12 localized +2026-02-06T10:40:48.000Z CYCLE: 9/12 localized +2026-02-06T10:40:56.000Z CYCLE: 9/12 localized +2026-02-06T10:40:58.000Z CYCLE: 9/12 localized +2026-02-06T10:41:06.000Z CYCLE: 9/12 localized +2026-02-06T10:41:08.000Z CYCLE: 9/12 localized +2026-02-06T10:41:16.000Z CYCLE: 9/12 localized +2026-02-06T10:41:18.000Z CYCLE: 9/12 localized +2026-02-06T10:41:26.000Z CYCLE: 9/12 localized +2026-02-06T10:41:28.000Z CYCLE: 9/12 localized +2026-02-06T10:41:36.000Z CYCLE: 9/12 localized +2026-02-06T10:41:38.000Z CYCLE: 9/12 localized +2026-02-06T10:41:46.000Z CYCLE: 9/12 localized +2026-02-06T10:41:48.000Z CYCLE: 9/12 localized +2026-02-06T10:41:56.000Z CYCLE: 9/12 localized +2026-02-06T10:41:58.000Z CYCLE: 9/12 localized +2026-02-06T10:42:07.000Z CYCLE: 9/12 localized +2026-02-06T10:42:08.000Z CYCLE: 9/12 localized +2026-02-06T10:42:17.000Z CYCLE: 9/12 localized +2026-02-06T10:42:18.000Z CYCLE: 9/12 localized +2026-02-06T10:42:27.000Z CYCLE: 9/12 localized +2026-02-06T10:42:28.000Z CYCLE: 9/12 localized +2026-02-06T10:42:37.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:42:37.000Z CYCLE: 8/12 localized +2026-02-06T10:42:39.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:42:39.000Z CYCLE: 8/12 localized +2026-02-06T10:42:47.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:42:47.000Z CYCLE: 8/12 localized +2026-02-06T10:42:49.000Z CYCLE: 9/12 localized +2026-02-06T10:42:57.000Z CYCLE: 9/12 localized +2026-02-06T10:42:59.000Z CYCLE: 9/12 localized +2026-02-06T10:43:07.000Z CYCLE: 9/12 localized +2026-02-06T10:43:09.000Z CYCLE: 9/12 localized +2026-02-06T10:43:17.000Z CYCLE: 9/12 localized +2026-02-06T10:43:19.000Z CYCLE: 9/12 localized +2026-02-06T10:43:27.000Z CYCLE: 9/12 localized +2026-02-06T10:43:29.000Z CYCLE: 9/12 localized +2026-02-06T10:43:37.000Z CYCLE: 9/12 localized +2026-02-06T10:43:39.000Z CYCLE: 9/12 localized +2026-02-06T10:43:48.000Z CYCLE: 9/12 localized +2026-02-06T10:43:49.000Z CYCLE: 9/12 localized +2026-02-06T10:43:58.000Z CYCLE: 9/12 localized +2026-02-06T10:43:59.000Z CYCLE: 9/12 localized +2026-02-06T10:44:08.000Z CYCLE: 9/12 localized +2026-02-06T10:44:09.000Z CYCLE: 9/12 localized +2026-02-06T10:44:18.000Z CYCLE: 9/12 localized +2026-02-06T10:44:19.000Z CYCLE: 9/12 localized +2026-02-06T10:44:28.000Z CYCLE: 9/12 localized +2026-02-06T10:44:30.000Z CYCLE: 9/12 localized +2026-02-06T10:44:38.000Z CYCLE: 9/12 localized +2026-02-06T10:44:40.000Z CYCLE: 9/12 localized +2026-02-06T10:44:48.000Z CYCLE: 9/12 localized +2026-02-06T10:44:50.000Z CYCLE: 9/12 localized +2026-02-06T10:44:58.000Z CYCLE: 9/12 localized +2026-02-06T10:45:00.000Z CYCLE: 9/12 localized +2026-02-06T10:45:08.000Z CYCLE: 9/12 localized +2026-02-06T10:45:10.000Z CYCLE: 9/12 localized +2026-02-06T10:45:18.000Z CYCLE: 9/12 localized +2026-02-06T10:45:20.000Z CYCLE: 9/12 localized +2026-02-06T10:45:28.000Z CYCLE: 9/12 localized +2026-02-06T10:45:30.000Z CYCLE: 9/12 localized +2026-02-06T10:45:39.000Z CYCLE: 9/12 localized +2026-02-06T10:45:40.000Z CYCLE: 9/12 localized +2026-02-06T10:45:49.000Z CYCLE: 9/12 localized +2026-02-06T10:45:50.000Z CYCLE: 9/12 localized +2026-02-06T10:45:59.000Z CYCLE: 9/12 localized +2026-02-06T10:46:01.000Z CYCLE: 9/12 localized +2026-02-06T10:46:09.000Z CYCLE: 9/12 localized +2026-02-06T10:46:11.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:46:11.000Z CYCLE: 8/12 localized +2026-02-06T10:46:19.000Z CYCLE: 9/12 localized +2026-02-06T10:46:21.000Z CYCLE: 9/12 localized +2026-02-06T10:46:29.000Z CYCLE: 9/12 localized +2026-02-06T10:46:31.000Z CYCLE: 9/12 localized +2026-02-06T10:46:39.000Z CYCLE: 9/12 localized +2026-02-06T10:46:41.000Z CYCLE: 9/12 localized +2026-02-06T10:46:49.000Z CYCLE: 9/12 localized +2026-02-06T10:46:51.000Z CYCLE: 9/12 localized +2026-02-06T10:46:59.000Z CYCLE: 9/12 localized +2026-02-06T10:47:01.000Z CYCLE: 9/12 localized +2026-02-06T10:47:09.000Z CYCLE: 9/12 localized +2026-02-06T10:47:11.000Z CYCLE: 9/12 localized +2026-02-06T10:47:20.000Z CYCLE: 9/12 localized +2026-02-06T10:47:21.000Z CYCLE: 9/12 localized +2026-02-06T10:47:30.000Z CYCLE: 9/12 localized +2026-02-06T10:47:31.000Z CYCLE: 9/12 localized +2026-02-06T10:47:40.000Z CYCLE: 9/12 localized +2026-02-06T10:47:42.000Z CYCLE: 9/12 localized +2026-02-06T10:47:50.000Z CYCLE: 9/12 localized +2026-02-06T10:47:52.000Z CYCLE: 9/12 localized +2026-02-06T10:48:00.000Z CYCLE: 9/12 localized +2026-02-06T10:48:02.000Z CYCLE: 9/12 localized +2026-02-06T10:48:10.000Z CYCLE: 9/12 localized +2026-02-06T10:48:12.000Z CYCLE: 9/12 localized +2026-02-06T10:48:20.000Z CYCLE: 9/12 localized +2026-02-06T10:48:22.000Z CYCLE: 9/12 localized +2026-02-06T10:48:30.000Z CYCLE: 9/12 localized +2026-02-06T10:48:32.000Z CYCLE: 9/12 localized +2026-02-06T10:48:40.000Z CYCLE: 9/12 localized +2026-02-06T10:48:42.000Z CYCLE: 9/12 localized +2026-02-06T10:48:51.000Z CYCLE: 9/12 localized +2026-02-06T10:48:52.000Z CYCLE: 9/12 localized +2026-02-06T10:49:01.000Z CYCLE: 9/12 localized +2026-02-06T10:49:02.000Z CYCLE: 9/12 localized +2026-02-06T10:49:11.000Z CYCLE: 9/12 localized +2026-02-06T10:49:12.000Z CYCLE: 9/12 localized +2026-02-06T10:49:21.000Z CYCLE: 9/12 localized +2026-02-06T10:49:23.000Z CYCLE: 9/12 localized +2026-02-06T10:49:31.000Z CYCLE: 9/12 localized +2026-02-06T10:49:33.000Z CYCLE: 9/12 localized +2026-02-06T10:49:41.000Z CYCLE: 9/12 localized +2026-02-06T10:49:43.000Z CYCLE: 9/12 localized +2026-02-06T10:49:51.000Z CYCLE: 9/12 localized +2026-02-06T10:49:53.000Z CYCLE: 9/12 localized +2026-02-06T10:50:01.000Z CYCLE: 9/12 localized +2026-02-06T10:50:03.000Z CYCLE: 9/12 localized +2026-02-06T10:50:11.000Z CYCLE: 9/12 localized +2026-02-06T10:50:13.000Z CYCLE: 9/12 localized +2026-02-06T10:50:21.000Z CYCLE: 9/12 localized +2026-02-06T10:50:23.000Z CYCLE: 9/12 localized +2026-02-06T10:50:31.000Z CYCLE: 9/12 localized +2026-02-06T10:50:33.000Z CYCLE: 9/12 localized +2026-02-06T10:50:42.000Z CYCLE: 9/12 localized +2026-02-06T10:50:43.000Z CYCLE: 9/12 localized +2026-02-06T10:50:52.000Z CYCLE: 9/12 localized +2026-02-06T10:50:53.000Z CYCLE: 9/12 localized +2026-02-06T10:51:02.000Z CYCLE: 9/12 localized +2026-02-06T10:51:04.000Z CYCLE: 9/12 localized +2026-02-06T10:51:12.000Z CYCLE: 9/12 localized +2026-02-06T10:51:14.000Z CYCLE: 9/12 localized +2026-02-06T10:51:22.000Z CYCLE: 9/12 localized +2026-02-06T10:51:24.000Z CYCLE: 9/12 localized +2026-02-06T10:51:32.000Z CYCLE: 9/12 localized +2026-02-06T10:51:34.000Z CYCLE: 9/12 localized +2026-02-06T10:51:42.000Z CYCLE: 9/12 localized +2026-02-06T10:51:44.000Z CYCLE: 9/12 localized +2026-02-06T10:51:52.000Z CYCLE: 9/12 localized +2026-02-06T10:51:54.000Z CYCLE: 9/12 localized +2026-02-06T10:52:02.000Z CYCLE: 9/12 localized +2026-02-06T10:52:04.000Z CYCLE: 9/12 localized +2026-02-06T10:52:13.000Z CYCLE: 9/12 localized +2026-02-06T10:52:14.000Z CYCLE: 9/12 localized +2026-02-06T10:52:23.000Z CYCLE: 9/12 localized +2026-02-06T10:52:24.000Z CYCLE: 9/12 localized +2026-02-06T10:52:33.000Z CYCLE: 9/12 localized +2026-02-06T10:52:34.000Z CYCLE: 9/12 localized +2026-02-06T10:52:43.000Z CYCLE: 9/12 localized +2026-02-06T10:52:44.000Z CYCLE: 9/12 localized +2026-02-06T10:52:53.000Z CYCLE: 9/12 localized +2026-02-06T10:52:55.000Z CYCLE: 9/12 localized +2026-02-06T10:53:03.000Z CYCLE: 9/12 localized +2026-02-06T10:53:05.000Z CYCLE: 9/12 localized +2026-02-06T10:53:13.000Z CYCLE: 9/12 localized +2026-02-06T10:53:15.000Z CYCLE: 9/12 localized +2026-02-06T10:53:23.000Z CYCLE: 9/12 localized +2026-02-06T10:53:25.000Z CYCLE: 9/12 localized +2026-02-06T10:53:33.000Z CYCLE: 9/12 localized +2026-02-06T10:53:35.000Z CYCLE: 9/12 localized +2026-02-06T10:53:43.000Z CYCLE: 9/12 localized +2026-02-06T10:53:45.000Z CYCLE: 9/12 localized +2026-02-06T10:53:54.000Z CYCLE: 9/12 localized +2026-02-06T10:53:55.000Z CYCLE: 9/12 localized +2026-02-06T10:54:04.000Z CYCLE: 9/12 localized +2026-02-06T10:54:05.000Z CYCLE: 9/12 localized +2026-02-06T10:54:14.000Z CYCLE: 9/12 localized +2026-02-06T10:54:15.000Z CYCLE: 9/12 localized +2026-02-06T10:54:24.000Z CYCLE: 9/12 localized +2026-02-06T10:54:25.000Z CYCLE: 9/12 localized +2026-02-06T10:54:34.000Z CYCLE: 9/12 localized +2026-02-06T10:54:36.000Z CYCLE: 9/12 localized +2026-02-06T10:54:44.000Z CYCLE: 9/12 localized +2026-02-06T10:54:46.000Z CYCLE: 9/12 localized +2026-02-06T10:54:54.000Z CYCLE: 9/12 localized +2026-02-06T10:54:56.000Z CYCLE: 9/12 localized +2026-02-06T10:55:04.000Z CYCLE: 9/12 localized +2026-02-06T10:55:06.000Z CYCLE: 9/12 localized +2026-02-06T10:55:14.000Z CYCLE: 9/12 localized +2026-02-06T10:55:16.000Z CYCLE: 9/12 localized +2026-02-06T10:55:24.000Z CYCLE: 9/12 localized +2026-02-06T10:55:26.000Z CYCLE: 9/12 localized +2026-02-06T10:55:35.000Z CYCLE: 9/12 localized +2026-02-06T10:55:36.000Z CYCLE: 9/12 localized +2026-02-06T10:55:45.000Z CYCLE: 9/12 localized +2026-02-06T10:55:46.000Z CYCLE: 9/12 localized +2026-02-06T10:55:55.000Z CYCLE: 9/12 localized +2026-02-06T10:55:56.000Z CYCLE: 9/12 localized +2026-02-06T10:56:05.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:56:05.000Z CYCLE: 8/12 localized +2026-02-06T10:56:06.000Z CYCLE: 9/12 localized +2026-02-06T10:56:15.000Z CYCLE: 9/12 localized +2026-02-06T10:56:17.000Z CYCLE: 9/12 localized +2026-02-06T10:56:25.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:56:25.000Z CYCLE: 8/12 localized +2026-02-06T10:56:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:56:27.000Z CYCLE: 8/12 localized +2026-02-06T10:56:35.000Z CYCLE: 9/12 localized +2026-02-06T10:56:37.000Z CYCLE: 9/12 localized +2026-02-06T10:56:45.000Z CYCLE: 9/12 localized +2026-02-06T10:56:47.000Z CYCLE: 9/12 localized +2026-02-06T10:56:55.000Z CYCLE: 9/12 localized +2026-02-06T10:56:57.000Z CYCLE: 9/12 localized +2026-02-06T10:57:05.000Z CYCLE: 9/12 localized +2026-02-06T10:57:07.000Z CYCLE: 9/12 localized +2026-02-06T10:57:16.000Z CYCLE: 9/12 localized +2026-02-06T10:57:17.000Z CYCLE: 9/12 localized +2026-02-06T10:57:26.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:57:26.000Z CYCLE: 8/12 localized +2026-02-06T10:57:27.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:57:27.000Z CYCLE: 8/12 localized +2026-02-06T10:57:36.000Z CYCLE: 9/12 localized +2026-02-06T10:57:37.000Z CYCLE: 9/12 localized +2026-02-06T10:57:46.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:57:46.000Z CYCLE: 8/12 localized +2026-02-06T10:57:47.000Z CYCLE: 9/12 localized +2026-02-06T10:57:56.000Z CYCLE: 9/12 localized +2026-02-06T10:57:58.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T10:57:58.000Z CYCLE: 8/12 localized +2026-02-06T10:58:06.000Z CYCLE: 9/12 localized +2026-02-06T10:58:08.000Z CYCLE: 9/12 localized +2026-02-06T10:58:16.000Z CYCLE: 9/12 localized +2026-02-06T10:58:18.000Z CYCLE: 9/12 localized +2026-02-06T10:58:26.000Z CYCLE: 9/12 localized +2026-02-06T10:58:28.000Z CYCLE: 9/12 localized +2026-02-06T10:58:36.000Z CYCLE: 9/12 localized +2026-02-06T10:58:38.000Z CYCLE: 9/12 localized +2026-02-06T10:58:46.000Z CYCLE: 9/12 localized +2026-02-06T10:58:48.000Z CYCLE: 9/12 localized +2026-02-06T10:58:57.000Z CYCLE: 9/12 localized +2026-02-06T10:58:58.000Z CYCLE: 9/12 localized +2026-02-06T10:59:07.000Z CYCLE: 9/12 localized +2026-02-06T10:59:08.000Z CYCLE: 9/12 localized +2026-02-06T10:59:17.000Z CYCLE: 9/12 localized +2026-02-06T10:59:18.000Z CYCLE: 9/12 localized +2026-02-06T10:59:27.000Z CYCLE: 9/12 localized +2026-02-06T10:59:28.000Z CYCLE: 9/12 localized +2026-02-06T10:59:37.000Z CYCLE: 9/12 localized +2026-02-06T10:59:39.000Z CYCLE: 9/12 localized +2026-02-06T10:59:47.000Z CYCLE: 9/12 localized +2026-02-06T10:59:49.000Z CYCLE: 9/12 localized +2026-02-06T10:59:57.000Z CYCLE: 9/12 localized +2026-02-06T10:59:59.000Z CYCLE: 9/12 localized +2026-02-06T11:00:07.000Z CYCLE: 9/12 localized +2026-02-06T11:00:09.000Z CYCLE: 9/12 localized +2026-02-06T11:00:17.000Z CYCLE: 9/12 localized +2026-02-06T11:00:19.000Z CYCLE: 9/12 localized +2026-02-06T11:00:27.000Z CYCLE: 9/12 localized +2026-02-06T11:00:29.000Z CYCLE: 9/12 localized +2026-02-06T11:00:38.000Z CYCLE: 9/12 localized +2026-02-06T11:00:39.000Z CYCLE: 9/12 localized +2026-02-06T11:00:48.000Z CYCLE: 9/12 localized +2026-02-06T11:00:49.000Z CYCLE: 9/12 localized +2026-02-06T11:00:58.000Z CYCLE: 9/12 localized +2026-02-06T11:00:59.000Z CYCLE: 9/12 localized +2026-02-06T11:01:08.000Z CYCLE: 9/12 localized +2026-02-06T11:01:09.000Z CYCLE: 9/12 localized +2026-02-06T11:01:18.000Z CYCLE: 9/12 localized +2026-02-06T11:01:20.000Z CYCLE: 9/12 localized +2026-02-06T11:01:28.000Z CYCLE: 9/12 localized +2026-02-06T11:01:30.000Z CYCLE: 9/12 localized +2026-02-06T11:01:38.000Z CYCLE: 9/12 localized +2026-02-06T11:01:40.000Z CYCLE: 9/12 localized +2026-02-06T11:01:48.000Z CYCLE: 9/12 localized +2026-02-06T11:01:50.000Z CYCLE: 9/12 localized +2026-02-06T11:01:58.000Z CYCLE: 9/12 localized +2026-02-06T11:02:00.000Z CYCLE: 9/12 localized +2026-02-06T11:02:08.000Z CYCLE: 9/12 localized +2026-02-06T11:02:10.000Z CYCLE: 9/12 localized +2026-02-06T11:02:19.000Z CYCLE: 9/12 localized +2026-02-06T11:02:20.000Z CYCLE: 9/12 localized +2026-02-06T11:02:29.000Z CYCLE: 9/12 localized +2026-02-06T11:02:30.000Z Infer error C3:00:00:39:47:C4: Expected n_neighbors <= n_samples_fit, but n_neighbors = 5, n_samples_fit = 2, n_samples = 1 +2026-02-06T11:02:30.000Z CYCLE: 8/12 localized +2026-02-06T11:02:39.000Z CYCLE: 9/12 localized +2026-02-06T11:02:40.000Z CYCLE: 9/12 localized +2026-02-06T11:02:49.000Z CYCLE: 9/12 localized +2026-02-06T11:02:50.000Z CYCLE: 9/12 localized +2026-02-06T11:02:59.000Z CYCLE: 9/12 localized +2026-02-06T11:03:00.000Z CYCLE: 9/12 localized +2026-02-06T11:03:09.000Z CYCLE: 9/12 localized +2026-02-06T11:03:11.000Z CYCLE: 9/12 localized +2026-02-06T11:03:19.000Z CYCLE: 9/12 localized +2026-02-06T11:03:21.000Z CYCLE: 9/12 localized +2026-02-06T11:03:29.000Z CYCLE: 9/12 localized +2026-02-06T11:03:31.000Z CYCLE: 9/12 localized +2026-02-06T11:03:39.000Z CYCLE: 9/12 localized +2026-02-06T11:03:41.000Z CYCLE: 9/12 localized +2026-02-06T11:03:50.000Z CYCLE: 9/12 localized +2026-02-06T11:03:51.000Z CYCLE: 9/12 localized +2026-02-06T11:04:00.000Z CYCLE: 9/12 localized +2026-02-06T11:04:01.000Z CYCLE: 9/12 localized +2026-02-06T11:04:10.000Z CYCLE: 9/12 localized +2026-02-06T11:04:11.000Z CYCLE: 9/12 localized +2026-02-06T11:04:20.000Z CYCLE: 9/12 localized +2026-02-06T11:04:21.000Z CYCLE: 9/12 localized +2026-02-06T11:04:30.000Z CYCLE: 9/12 localized +2026-02-06T11:04:31.000Z CYCLE: 9/12 localized +2026-02-06T11:04:40.000Z CYCLE: 9/12 localized +2026-02-06T11:04:41.000Z CYCLE: 9/12 localized +2026-02-06T11:04:50.000Z CYCLE: 9/12 localized +2026-02-06T11:04:52.000Z CYCLE: 9/12 localized +2026-02-06T11:05:00.000Z CYCLE: 9/12 localized +2026-02-06T11:05:02.000Z CYCLE: 9/12 localized +2026-02-06T11:05:10.000Z CYCLE: 9/12 localized +2026-02-06T11:05:12.000Z CYCLE: 9/12 localized +2026-02-06T11:05:20.000Z CYCLE: 9/12 localized +2026-02-06T11:05:22.000Z CYCLE: 9/12 localized +2026-02-06T11:05:30.000Z CYCLE: 9/12 localized +2026-02-06T11:05:32.000Z CYCLE: 9/12 localized +2026-02-06T11:05:41.000Z CYCLE: 9/12 localized +2026-02-06T11:05:42.000Z CYCLE: 9/12 localized +2026-02-06T11:05:51.000Z CYCLE: 9/12 localized +2026-02-06T11:05:52.000Z CYCLE: 9/12 localized +2026-02-06T11:06:01.000Z CYCLE: 9/12 localized +2026-02-06T11:06:02.000Z CYCLE: 9/12 localized +2026-02-06T11:06:11.000Z CYCLE: 9/12 localized +2026-02-06T11:06:12.000Z CYCLE: 9/12 localized +2026-02-06T11:06:21.000Z CYCLE: 9/12 localized +2026-02-06T11:06:23.000Z CYCLE: 9/12 localized +2026-02-06T11:06:31.000Z CYCLE: 9/12 localized +2026-02-06T11:06:33.000Z CYCLE: 9/12 localized +2026-02-06T11:06:41.000Z CYCLE: 9/12 localized +2026-02-06T11:06:43.000Z CYCLE: 9/12 localized +2026-02-06T11:06:51.000Z CYCLE: 9/12 localized +2026-02-06T11:06:53.000Z CYCLE: 9/12 localized +2026-02-06T11:07:01.000Z CYCLE: 9/12 localized +2026-02-06T11:07:03.000Z CYCLE: 9/12 localized +2026-02-06T11:07:12.000Z CYCLE: 9/12 localized +2026-02-06T11:07:13.000Z CYCLE: 9/12 localized +2026-02-06T11:07:22.000Z CYCLE: 9/12 localized +2026-02-06T11:07:23.000Z CYCLE: 9/12 localized +2026-02-06T11:07:32.000Z CYCLE: 9/12 localized +2026-02-06T11:07:33.000Z CYCLE: 9/12 localized +2026-02-06T11:07:42.000Z CYCLE: 9/12 localized +2026-02-06T11:07:43.000Z CYCLE: 9/12 localized +2026-02-06T11:07:52.000Z CYCLE: 9/12 localized +2026-02-06T11:07:53.000Z CYCLE: 9/12 localized +2026-02-06T11:08:02.000Z CYCLE: 9/12 localized +2026-02-06T11:08:04.000Z CYCLE: 9/12 localized +2026-02-06T11:08:12.000Z CYCLE: 9/12 localized +2026-02-06T11:08:14.000Z CYCLE: 9/12 localized +2026-02-06T11:08:22.000Z CYCLE: 9/12 localized +2026-02-06T11:08:24.000Z CYCLE: 9/12 localized +2026-02-06T11:08:32.000Z CYCLE: 9/12 localized +2026-02-06T11:08:34.000Z CYCLE: 9/12 localized +2026-02-06T11:08:42.000Z CYCLE: 9/12 localized +2026-02-06T11:08:44.000Z CYCLE: 9/12 localized +2026-02-06T11:08:53.000Z CYCLE: 9/12 localized +2026-02-06T11:08:54.000Z CYCLE: 9/12 localized +2026-02-06T11:09:03.000Z CYCLE: 9/12 localized +2026-02-06T11:09:04.000Z CYCLE: 9/12 localized +2026-02-06T11:09:13.000Z CYCLE: 9/12 localized +2026-02-06T11:09:14.000Z CYCLE: 9/12 localized +2026-02-06T11:09:23.000Z CYCLE: 9/12 localized +2026-02-06T11:09:24.000Z CYCLE: 9/12 localized +2026-02-06T11:09:33.000Z CYCLE: 9/12 localized +2026-02-06T11:09:34.000Z CYCLE: 9/12 localized +2026-02-06T11:09:43.000Z CYCLE: 9/12 localized +2026-02-06T11:09:45.000Z CYCLE: 9/12 localized +2026-02-06T11:09:53.000Z CYCLE: 9/12 localized +2026-02-06T11:09:55.000Z CYCLE: 9/12 localized +2026-02-06T11:10:03.000Z CYCLE: 9/12 localized +2026-02-06T11:10:05.000Z CYCLE: 9/12 localized +2026-02-06T11:10:13.000Z CYCLE: 9/12 localized +2026-02-06T11:10:15.000Z CYCLE: 9/12 localized +2026-02-06T11:10:24.000Z CYCLE: 9/12 localized +2026-02-06T11:10:25.000Z CYCLE: 9/12 localized +2026-02-06T11:10:34.000Z CYCLE: 9/12 localized +2026-02-06T11:10:35.000Z CYCLE: 9/12 localized +2026-02-06T11:10:44.000Z CYCLE: 9/12 localized +2026-02-06T11:10:45.000Z CYCLE: 9/12 localized +2026-02-06T11:10:54.000Z CYCLE: 9/12 localized +2026-02-06T11:10:55.000Z CYCLE: 9/12 localized +2026-02-06T11:11:04.000Z CYCLE: 9/12 localized +2026-02-06T11:11:05.000Z CYCLE: 9/12 localized +2026-02-06T11:11:14.000Z CYCLE: 9/12 localized +2026-02-06T11:11:16.000Z CYCLE: 9/12 localized +2026-02-06T11:11:24.000Z CYCLE: 9/12 localized +2026-02-06T11:11:26.000Z CYCLE: 9/12 localized +2026-02-06T11:11:34.000Z CYCLE: 9/12 localized +2026-02-06T11:11:36.000Z CYCLE: 9/12 localized +2026-02-06T11:11:44.000Z CYCLE: 9/12 localized +2026-02-06T11:11:46.000Z CYCLE: 9/12 localized +2026-02-06T11:11:55.000Z CYCLE: 9/12 localized +2026-02-06T11:11:56.000Z CYCLE: 9/12 localized +2026-02-06T11:12:05.000Z CYCLE: 9/12 localized +2026-02-06T11:12:06.000Z CYCLE: 9/12 localized +2026-02-06T11:12:15.000Z CYCLE: 9/12 localized +2026-02-06T11:12:16.000Z CYCLE: 9/12 localized +2026-02-06T11:12:25.000Z CYCLE: 9/12 localized +2026-02-06T11:12:26.000Z CYCLE: 9/12 localized +2026-02-06T11:12:35.000Z CYCLE: 9/12 localized +2026-02-06T11:12:36.000Z CYCLE: 9/12 localized +2026-02-06T11:12:45.000Z CYCLE: 9/12 localized +2026-02-06T11:12:46.000Z CYCLE: 9/12 localized +2026-02-06T11:12:55.000Z CYCLE: 9/12 localized +2026-02-06T11:12:56.000Z CYCLE: 9/12 localized +2026-02-06T11:13:05.000Z CYCLE: 9/12 localized +2026-02-06T11:13:07.000Z CYCLE: 9/12 localized +2026-02-06T11:13:15.000Z CYCLE: 8/12 localized +2026-02-06T11:13:17.000Z CYCLE: 9/12 localized +2026-02-06T11:13:25.000Z CYCLE: 9/12 localized +2026-02-06T11:13:27.000Z CYCLE: 9/12 localized +2026-02-06T11:13:36.000Z CYCLE: 9/12 localized +2026-02-06T11:13:37.000Z CYCLE: 9/12 localized +2026-02-06T11:13:46.000Z CYCLE: 9/12 localized +2026-02-06T11:13:47.000Z CYCLE: 9/12 localized +2026-02-06T11:13:56.000Z CYCLE: 9/12 localized +2026-02-06T11:13:57.000Z CYCLE: 9/12 localized +2026-02-06T11:14:06.000Z CYCLE: 9/12 localized +2026-02-06T11:14:07.000Z CYCLE: 9/12 localized +2026-02-06T11:14:16.000Z CYCLE: 9/12 localized +2026-02-06T11:14:17.000Z CYCLE: 9/12 localized +2026-02-06T11:14:26.000Z CYCLE: 9/12 localized +2026-02-06T11:14:27.000Z CYCLE: 9/12 localized +2026-02-06T11:14:36.000Z CYCLE: 9/12 localized +2026-02-06T11:14:37.000Z CYCLE: 9/12 localized +2026-02-06T11:14:46.000Z CYCLE: 9/12 localized +2026-02-06T11:14:48.000Z CYCLE: 9/12 localized +2026-02-06T11:14:56.000Z CYCLE: 9/12 localized +2026-02-06T11:14:58.000Z CYCLE: 9/12 localized +2026-02-06T11:15:06.000Z CYCLE: 9/12 localized +2026-02-06T11:15:08.000Z CYCLE: 9/12 localized +2026-02-06T11:15:16.000Z CYCLE: 9/12 localized +2026-02-06T11:15:18.000Z CYCLE: 9/12 localized +2026-02-06T11:15:27.000Z CYCLE: 9/12 localized +2026-02-06T11:15:28.000Z CYCLE: 9/12 localized +2026-02-06T11:15:37.000Z CYCLE: 9/12 localized +2026-02-06T11:15:38.000Z CYCLE: 9/12 localized +2026-02-06T11:15:47.000Z CYCLE: 9/12 localized +2026-02-06T11:15:48.000Z CYCLE: 9/12 localized +2026-02-06T11:15:57.000Z CYCLE: 9/12 localized +2026-02-06T11:15:58.000Z CYCLE: 9/12 localized +2026-02-06T11:16:07.000Z CYCLE: 9/12 localized +2026-02-06T11:16:08.000Z CYCLE: 9/12 localized +2026-02-06T11:16:17.000Z CYCLE: 9/12 localized +2026-02-06T11:16:19.000Z CYCLE: 9/12 localized +2026-02-06T11:16:27.000Z CYCLE: 9/12 localized +2026-02-06T11:16:29.000Z CYCLE: 9/12 localized +2026-02-06T11:16:37.000Z CYCLE: 9/12 localized +2026-02-06T11:16:39.000Z CYCLE: 9/12 localized +2026-02-06T11:16:47.000Z CYCLE: 9/12 localized +2026-02-06T11:16:49.000Z CYCLE: 9/12 localized +2026-02-06T11:16:58.000Z CYCLE: 9/12 localized +2026-02-06T11:16:59.000Z CYCLE: 9/12 localized +2026-02-06T11:17:08.000Z CYCLE: 9/12 localized +2026-02-06T11:17:09.000Z CYCLE: 9/12 localized +2026-02-06T11:17:18.000Z CYCLE: 9/12 localized +2026-02-06T11:17:19.000Z CYCLE: 9/12 localized +2026-02-06T11:17:28.000Z CYCLE: 9/12 localized +2026-02-06T11:17:29.000Z CYCLE: 9/12 localized +2026-02-06T11:17:38.000Z CYCLE: 9/12 localized +2026-02-06T11:17:39.000Z CYCLE: 9/12 localized +2026-02-06T11:17:48.000Z CYCLE: 9/12 localized +2026-02-06T11:17:49.000Z CYCLE: 9/12 localized +2026-02-06T11:17:58.000Z CYCLE: 9/12 localized +2026-02-06T11:18:00.000Z CYCLE: 9/12 localized

    zo{ogD3#qcBvWr8bye5-F`&*>Fh`d9(G~##qH2h|%WN6CfAFZ1C)Dn9ujuybsrxZVv{I|p#3nlE+AB1a}WWV~+o9OyZRyY@R| z^x%jHC?S|p;6dE}2vej0>EaOlKFGoZf+>qUzjUS7w3tl&oqv+fpaOqTt8Rj+8f^7l zW;N8)G`F(DB=f?UvyMR8iyK6H88@equFm51WS7S`~u!H9zE&=Kx4XfcsGc#d7ZBKQNdMvuKe+^_d zMjR_r{~qXbUKST0=e!Bvcyl?jKIg$s(o)qR86rwLVXc!+1pDftLK2qv00nF%nx|Md z#6Oec?T>n%8|l04!-^b4`yYrg=7A;lP!{(;1Z1!se(DZ8b-0$BcX2{ma>=Q@Wa?UP zWgm8~R!q?YsFYlVC`}_Rs9y=WA^K9h=WeF<7I31j&LZ-z*#qsSh7`B`&zCMh`yt+3qAIwXAaz#X*0fBc3M0i zr1jKHj6KqdFV z*oK+DK?aQ<&%D9(^OVq8W8XnCkQ{eLl|tTm#_m4sJAQmzYjP{wJ5OQ@zNiJfz_xo7 zpRm=NM^0bN@nY-eqw?ybt;_J=2Id;$b-9mnQ6tR#*YIjY;|DtKF9d82>j2<)$*QYy zsvCh0ciS9E8w-Dsgu>NcfZK=6vweoXVl_7u^vb)`PJlv3a+gkZW-AA^k9B~5(b5r{ zGHyzjzQlYvPvhBASmGhiZV9{jbXJ8Z>*J}^D^W2*7w5P?v!FIPk%oh)>io^sI*I9D z#7l;hecvY2f9lSITa#gKAfoYd?MTeay!_gO=ka!UvxWJKb6)0;KR7sRtIdxqc?5SX zOmIKm{Ui;)-&uj&BUoZ}^{9~QH)!$(jqL|DV@R*#|Hso;2Sm|*e-9v`lz@b^gmg(a zNUEfCgEUBYub?2QJOa|GEFIDvf*{@9AhlA`>3bKy?{EHLXJ?sv=gzq&KBpjCc!uX8 z#0_?Mcf0nom=U>sRffvZ5xtaP96XLu_&7@uMD^hgCjl$ipk=_{x>-10BSrZRn&KVm z_sw<3f*S^h*rcRVA>iEnfniZK*?$m zBqUz{Eg;8*Xw8OW1Isl6m>#_0M1tChbCTaUu7`4Bk<+3wQ0lRDt)yJXM}?Lu>4?~9 zn!GAvL-jv*YU@f8PRvIN$nSA){o%B?+(5E9hzcwCV)D_N7v#g$)(4F*EWYY zGPjvXfW*SH%I^AKJbpa(xT&q|UpWY=nEmPU!Cx^|lD`Cyc$%+gfZ>b$4Ki_j#GaGG&dO-9_;V0w`59p`206z) zX9=TJ<|ZVonkNEQq;M~|D|V#!#<__Sdr``J@-J*;pZUm~vv|VjR zWB^PBq~CvR#j7?-?%*RhjDf>%>G1q2Q1bK*IL*u~?qV4fU$j>N7#K`|*r~M6348zE z1p+eWsF>iW37e>8eG~f=O?by5I!+1kDK1}S)ydSAGvew-cyaRul^i6`@kYwF-GU)l91$Y(Ua%Hf;8tVNC?)f{|n zd!TlQ=Jp}MBi%up+2;Qgoq`lU&knSWr)WL!YotdXPS#`E%whf7(l)b5hLLMR7o+wA zK$VRvSocVO&!QN-R@q?*Kz8^St&^8&pX{giF)CG6fMurElPztOA5ct%$^9g)207%% zQqv$LkPU)v06F%_P#~gR<{UyxNrzm4sYezTwo6{_L6<9EpDRM!5EyHvI^p|$f@&<1 z^sq7@vL&li6oF2XQ8HOQm3}N5cJeEG{&>x4BtAp?=oCJkYG$Ew4|0C@+^@YZV!~#; zV)*3L%B&S8s>5atMuX+J|A(9csI0f_bTq$rdU<)B+alU;T-rbIlNaCvT; z?DM^qoWZ~Nnny#wu7*}3&&Lanv$PozgU44aU{F4 zGBP=M-lDs5AiTUj^mcC0#eICaB}e3>=GJW}3~!sH>gKAUz#?vV%1Tn*}-s>RbYVvbJTLZ_pNtFHzejtQ3zE0Da5s)q{Iv}d-^=XR@jO$NbT?QF$;nQs zB+d-hX&?&&Fizk$Ln?^_!|s1;LXUoDVi}Bn=m5SQ+GjxANsVO(7}*-iYRIsA5Aj7Q z_}&f@pPD^|7AN+&Ea`cQPa{m5I(J=^%rQ_d2z18!^y=A3Mqd8GIo>kn{n$# z2o7$pAnuJAHPU(P1|g*j*wEE2TOV-SZ)I^cMqj`A7T+M)5%RfOQ$mC7C`5YFm$`KO zsTqz45BGAPo||*0qyBS5Bq=uH^m}QT!MDV-z-zktlrY(r|86>ohOw&g_{f9m?C=Qi z+>M8QC{Vx@>u5Bx6ULIcO1YKI7a;1wYtF7ec~f0)RwR2$UaVgocSastSu{^ar#2ac zSu=mT8XgZNQScv?uX^H^9vN+JV^C zhoc^wEH&j-_a2qb#oedU;}W?Br!>9CAFJ@n46bQ|jOOiw51_hktzpNqYMvlZ}Ji z&pT1KJklj-=eS&Y76Ju$YfK*FxUb79d#Fd6N=J(?tMxqOPQtD2J?0}0Yh85>__PDw z8oMk-dxL5X#{$=E@`Ql3vI!-QqRwsb73E71*bI!8dZclZ87HF=$dFE!u_(BN#0VS@ zPx8f3mfp%vlcr%@6S+HvIStqwaGmQNdxZU!Hz~dRF)I1sy65h&9+~@?SB|Eolkv~g zrxJf#wuo-7i#U_G8Kmg&+IB_0$Fo}zhu^62`L_8UR--a8aQ^K`S(bibQi1s3Iazl0 ziViKjMA9V!pTl!E49`LJ)zA5O%9%(|;C9#Q_18Bmpk9AW4l!Yq7LX*rqLQY@1S9fd zUF|vqGSSeiG{8iMaIeL<-=7<|6y8466XL+P)`;`$t#|1ll2Xsz5rjJweREhVu9Ay9 zE*5(G&k|!LR+1=x`iUcVe3w_XXfYo}0u&*S`lcbr_1MK=P{QYxM2}}~nHV36m%9&X zAf^iZN5O{CF(DM{;V$(ag~7H!>#jlyZw`MDL;B0@c@g27>Xlg;4Z}JxAMD{!=WLJE zz-@=?z0<#Z~3T})Sfc*-QJv|Uk`NI)dljf5QPBU4wXcR}OF-O)2 z`RLeju@j;W3nmbA(f(!WWv*0Kwg>aa3gPJOL6fs(#;%AQjzb->>xHI1P50RZuu16U zBW1XUG1%#T^E7xXM)qmuVV0VgfUrK;yL0VJ>&6%=V_6eidx)S$>;SoXGQOI?>NaD_>@N?EWtnV0OVkFjgxaV(d@0kdZhyyCpyt zfCxdl$}}^PtYlMuCyT>CW40(rP-G7Y|1^z2eL4*XyLF_r(w@qt>(pC#J#FL-WyCgM zmb*OTuA+G*Zg96^vY$~z5vuOq<+z*=z50Ic$RBBPF1Uk^H<<;ph}nJ@=(&0>axAG_ z=i0H(EDfMg$Y~=VUOZon(zLo)g`k=a2 z#Y*PeLoepwFJ$Qx**=Z{^|eS`S5;dM+#ejZ(?C)>&Vo-;E}bc}xdLFhZNdcfv8jcz z9ZS);;{@gB6W3W%%thZ3jZqt^o=2lWru-hSZJI3H9j6!fK99=f$Ybh6d7?*Gx5OL% zmh>X&w$47kc`av`!4_zS%Wdd=5MPISZgk#l4G8(Au61D9^CE$Ncn!#<7i9-aPDH;C zCSYn6MGyWAjyzFz^M{tG_afxE9qim`=Z1$}5PE$jugR2M1W=Z&%-r)j`^q92Nh^9v zO#Fj=_33Ea*di|F6hmctzvIgLwcAu)J1FZiYl@J%4i7XIevhd1uyop8G3cOv&nebY zM^V8Fa&oT$Y#38^lH$f>3X5DWF|8682pP@^Xd!t2?3LC5YU<*F6 z4lya$!1t9)`Ng7u9}}ZSt;t<#@Wrgo#(GU%mV=JuH9FH&aV9F%N->_dSip;OL{J~%a<)DkEWDVYf+TgXeuuC72-Yx+2t#;Uy7TUm;wQtnq>6Xp72cGn z!ZKZJ>Qs?|4)Dd3kfdz4`{9G$A4}q@Lik&X`mI6bMP0pcZ*F-|1u>nl2H(imugmo_9rA4e!zc@w|6x4t(YZc$g&H+)({(mUOi+O#lVRgA7e z)07HSdij;(3H-EX-S)X6c}mpc%jWnU>{q(OOm?F#AowGbiCi0+lNSWmE>K%NuC)i& zxkY6-P%;B_(y>sXC-3O>?^S*eSwA`2pEb-b}(~;ovz3x%Ec|=m7ybwv^-@l0No%x=tF31WyggReR)=~bc2@<@^IFXRlmn@!c zFX&`$Et_=7BfPizfbdO@vHDO&VOxY@_EfzO&^njiZuTE^P#qR)yS0_alCKx> z^RFXG7lLLq*B~c zw_Foe6+GXaRA~2zT>1c6oIuv$9nINQO2Khb|MQvTl|~jFy!ltYbNh?O`Qd@}Q?QQq zVSc8-gNwyur=39iCN6~%Y5r>ojY9Ipqrt z#eyF=Np|;ky+#pz=bh&YM2r2?H&;7z7Z(?23SN)qmX7Tv|E@DtcOJCR`R|r2+1Vx$ zDQh9boavB`+|mlX`Ohtl1zhnqW4Dhc6%#3F-#kox{_+hTsLjy#1%d>HMB1NNJG3lv zMTy@p2|92aCh?vAKU(wnW(~ewH`;JrxTIFa(Ntz|;Jh)cKSlypf&=1+Fpb9H_uVW}-`AiJ`t6RZyv}Hm`){WoeFk!9F#yYXH z1q_QVj7XTw!HbD})u4Dic*kq7qdb@EpHvumK5ure@yZ;$09b&Vd7y83pb)FSH5;CE zH#e}nVFYhaL%HM&Frhq)`HK0lVxcw&3OT!}@D3_@{ICY1Pb@jgnvuQcccM52#Y|#k zq=Lqtd3Wq(?DyMTgSUE-c>v5paO`J-1^Hjn#M=)mTr-Eu3cv&iOy$2|-fJv_BY`3L zRXqtwG#a(5ze6#c!vQww2jY@@ZdKMw0@Jp@9Km(Lj-z3p4iuZx_?`1OI1B&;~nK@Lm=RoD_ z&2hP35C1G0#rAQlC-j|(JIK#9(sy^bM#Xm=7p@=nHm`4r4*9<7X^vs2x6x?{!)Pj8 zORg4(3S&h^0hgYX+!IDVH;4&C8fKHcQE1SvOH*Ik#Qh%>XLooRmGQ~@gNP5n4~lF# z9w)Y=0oucQYWBfvJfrqgvaWTi8iZABtq|a+S2q=?EKu7{EUTvx!Ai0HILcxFgf7Z$ zO*6o6{ydF0n_Izm-WbTqWIGOUx1q;PBp{3T-`i$KcM@Y?H;urc27Yi~u@Uo6;1}GZ zN*L*kq`^aC2PR*6t`Cde@oT5w3>OFa(CZ08{sO`Gk93}&)F@!v!6{w&+T4TCT|W4l zVSg98v&G1`9wS^wm4Z3iT+&`ajdpdtQ5TI0!9w#W(4v%BfNG`Z2=Z^6SZ6;~6GceX z+(ulG1~l6o3~c-@zn6^|My9`S&W&IAD~Pej^~M`e+)d?G*h+`#6er1^6vf;NP(`Tkr#8 zR*@Izk1#Qj%by*g0BQjiN_JbA?eVLcVnXx=s(~|4i3>Ap_R{WFMS9QsIHfXl-5oZd zQ0;t_>7?;_c+>!e1!1g=0*Jg;S(kLa_??}xi)1uCa%`wpn)SgOX>agJP0Olb))^2w zj7ND#y13m_h*T<=9km+NOc@$`XJui8nJNqYs7%~HIvos2(fm$vx@qHa8hz;v&rQa6 z+Awt;&Yojw)<1tll%yqiArb%oX?u05z*BzFq){)wr$AU$(f4*(7{yh9FOn0QK4=Kx z`hbDX*N5acBzA)nv?n|eaN!;%_iCI>2vDa*9&e}UmGj4`cf?_FzilHdm0%eY# zHWv{-V|A3F5_Wr$^i_sGGAbQSABBYB#&vF-cx|bPmUtlhv4N*O-%!>`%N7M%Vi6`D zer_aF05}x#5WM_!Gv#asJ|!AD(eL5K@`WOenS03;GoS?U!MbnK@ns~2UoEU!46@Mg zEAbf97`^{i(vF!5=suBpDPh|aWOmkOpV@+EWkoki8%CO(U2rS=YwyM(q`5K3cT86zgTE}jISgDHiWM3rPNhZdn*smjrULxvCZv?S-i^iBRPU7G1 zjpN{9)mhybhF@fwc~zL9Ro$^%j3}9XlIStNH{mXNat{Wl+lfV_*%b+?5Dm$d@0SZ8 z5YSvLFW-=VaSQwch2{WcKNrWR8zbMfd;S8{wSPA|HA7$wJgBMeE+}Z@?$R*_2GF$a4~T51W3T!?>Bj3{7~8_U8-D|S^_|=kHHO6I1Jb3^ z&DUQT@AFfs!Z9CJeJC!KffcGJ1ref}cWbBgl&evMx6q^YBB>pMoYc6zrD7{qA9%^* zzr-XA2%XQEtIH$)2uL*L*O+ikdMJ{DfX-tC5bmCs0kGOIJVP4Jht=OoD{H-EKpZ9n zb=rm^2ldqwa~Ndn`|VNc5GHj_z31fnMs!;;oKRghw|E?#=(Rw84ETXhMn0Csr1(Y7rBt&oQbvyeYCHL#(*31kF;afF{xhhT~%;R2V) z-X<)S_=a`2AprsB?y~H358o?4XP4bT-5L!Oi)zb3Z)Ru=a&qu%;Lt zj?4-NohuI;N`4fcp+IWSDhu*OdeRuUZ--N46Y_ojPcV%vbyp8lmxA{z^}<=FNoH*c z`EWw4RMDBzTr-;0-GwNd#zGnu!FwL<_pDWZ@rre-2o9A8yI`#)P*G$pTD=X3BKPbf z)w%#BPJU+r4LIHAg^&8-SaNQ`BrX-oJy#^|1TsN#Li&ins?Onpp-z&xeM^5tG6#9gGk!rNN0iSlPg8Z2*rpqJ9?wI>>aMFvPqj;SgV)aQ8yPRi7( z%l-2lT8>9&_P}W|%fic)$CHWHTgOA4C08thpXMlvk zAdseOHlyU3xhD9y_wwXto~=WAwcVQvkg(&(i~_H#TxW3yZ1uka4PDe$4H9Xr2X6OS z7g8TqhjEk3l=$WBI5EQU&B<&Ow&d|9U#m`7kDeR#5jVV-2U@p6T8XON7mZZee;Us@ zXAC*0h%%&yMsxRS`+KpQC=Jal~~Lk7`bg6 zwi(+raS_>k!s{m2+WdZc zNgTHHQHL^{jaV~&HcuzjYi2FkP8OsQ4!ByU4#kAClI!2;bpga7Bn^KEai~$FfH9?V zb9hM}1LVEWeHP_5r-Pe)9DEOxpW{UjwW0+{;S_eXZsOYmHh0d)+CYX3d+`0d68F`f z{5YI!eS5>k$wUR$z9z@E?9Z9MMPytD286Px@?6eO?Fgc!lF)&TzoSVzJB?)6;I392 z7}!R7oRo6orQ8P-v@}Yea_<<7m>GKwz6nadRm1v8meb2Oyp7W zQkW#tT+mWe#NhB;p$%h&IT)Qgc*Zid=$n(Wa_&#L$e6YSg^}unZE`VL;I4R8(g14G zkG?^Z+)jn!M)g~6DK?6hIzq|`sk&%ZiJm>7oU0pGnFL8|AZ-0)CS+Ig%&G<@)9E;u zP%$nmn?Nn0@{W|?`jW^69ki(glBUhf)pTS|Rg`j{g^ZLljK7&&&z0^)p#cBhW~eU4 zGsa+|IXNcxM6W4g@ONk6ZLbf0O5Rimbo$dMG$Bx#NVnE zDize@X&BV9NJR9V7#JH4ty_B}(-_o`f-si8wx8<~Tk9MJ9F1u@je0$u;Xm8ekhxvk z8oSqM`{Npr0P=vr*{ve?H#lXer-n5If!sV`HRM#P&!K^YR2!#lqz#)a%(qC%&& z#sR2H_k^9bIw`aP4Oyp=yI0C<%ZQs9lGK6C7-mxdIiq!gEzjW=1eh7%d2h_X(nD%< zTWvg%Tz18PE8@uU-iN%^V!I?-7M+BS$2+x*OnwTd!vadbZR{T8kwH;XdT4Ta-#;_j zue|m6cGn!^!4{kDm8|c(Z||Ca=GHH3CJ<6TQy>PJERG1>9Rk=)9M}eY1Dk;J=m5lW zxom&}qf9rh|-1W|KIx7(+Y)$eGlfkBL8y@rKkG+g76CYX#BI1{UsNrl#fdNqy z;LBxx#{=XEnWoU zQ)=AD#HEz*WCIpLGB`)@owY6;p-0wfAoeuec$$b2s5oLT(tw8+9GNe`BOOkOh9D8) zOg#)QpbX%=a)j#NT+(9FKrtYz+jOM;w`=|8VtW$ml3anxkkVy4tD_3JP`y}ROf{T= zTP1Q~o|%l^S$_v89OWu^8+bpQK5#*^KCk2!^dv*Ek*!qJZ%op7&6sdk^0{gn!L@sn z#mZ<$%Xv#;1)~Bf*5CEUx&{Y>$eog%!@mXHSq@Vdf)~E0AJ-eno)2^)Ln^@LqUT)b zI;RMzd1sBxh{;69t&XLbV*pon&8$)}Z9kxK=Z=nl@O8m@tTF7r!h}b>`TXyx>n`L? z<$_huJnv-fGCz^KZAanIv6*p4K@(QOL$%^u^Tg0oHa^v)9vk2{&t$fSiAmHDA% zj=n`L#`NUUQzLi(;*#q6vl&{Yiv$_Jw!iF^r%w!GEN2|1YN3u^>ZsZMAkY1@idV^& z{x{d{Tw4n{9EFVaki_YNR5-Xr$_R`>tS5%|rs%`RqoFs&DOnL&bUk>c7%(=H z(Nivo1`9s=$ zel!GTx89*i`)O5Pi;yhp*}qb%Vz2&{D&(${_{Nc{Fro`^CD_2+&=4EhH)@D>ba=a~ z-vujIk6|~T-Up(F@}wz){oJPuNph1oy*~OfkU46I!2!him9Pvui?`q<74PqA!Y(3^ zm|20Ep6!E*_VPD)MyQqk7A0|uq=FXmx^*9-If5@kT@O2&k&b^|qkQ*8L-gO{siM#f z6JDFcg2&s#8g0UQJ;7BEMlwetWBy5^h2yGcSNr!OQN8eFw+T5dCH|Wqa{yG>DdIp5 z_hjf`0s0dLQh#c_Mpi?tMuVL^^hJkGz00DDYJqe&UBTdloGWB1G9|`St}n0GS$;;8 z)}4vuE2lk#)o_Q48H`yc^Pi22jP2rARcH~X&T+E~MyAqQKTNJ_7BedA1fr-l1XRC6 zeJ>ELvC~MnJ$Q^Q#j+aL2*w1?T2NvVIFvIjpMzFx9k0IRBKb*c8Q)!+HRXKz?7FVa<+0rlIn|9UE*>P_Ae5BPLW}_l0o$ zYq9z44NpdO+4aua_;Xx?WaGg-cH^SIk4bv3dYs1BP1+7zEiG1bi8Nj@o=0lR!OVF~u!3ju(bmtUH?7hA@=6edJ2hYP|Z5Sk`iw z|82X0q7IoxcCmtFA+zt7zU88&4&}(SmE%!ML13xF=8=;|SSiMrE>4CXD<4a|Hrl%;?of8|Mybu{p>Wu)GJdf0R7rBax@zC| zJUFGJJMPv=0evKi;cXeozhNpr8D#?u19tNuO2+xGDiCh_A_(Xh)TH`w9$MgAKu~;u z*NwTURSznA{rWP(9?f}pl2nNb)7kWRTKJ=B1x6DsbKkDQ3Xen7JwCoiW}q0JkL}-t zUA5ZEUv`H|Hz)Ad=6C(-Vb1n z&9ifR%QT!jaix+STYJV_zm_FnH9$`I*YVen<>t583@0K%A#l>9FdMH+H;IV!<9EaNP z|CGyGY)8WJ`&i2DT_CLvhfzGqbhUG30>^!~;?ypkweo}|;Vra8{9xLjAw(pbXw)g7 z^0>IT)l|J7uQO-4*B88Gj$HkrAlGvfl-Qf>^vv6 z_&Yz+RHB-(KiRao9)ha94nCiyO2@v{FVh9Q1!NDISF=<*zN68nF8Nex%6D;Vw=AVb z2H1lc5TzZ15uFD|`G>b6JcEW|Km!DQ+U#@sM^_px2TXv64Do!RVVgliYx}tthqz@~ z%!RxV0aU4K>rp|frI)kNe9bpt_+6MX6+RXzQ)VnFPGAu{Jf^r0dd;>jU6i1|Q~sUP zzq8+c6c7j1MpKx9;efIae5ybTbbb=~vgHo+V1t?hgwkEAuK(FaUY7BheBA;`S(6-p z6r4~hadNK2U&Qgk^)*_#V@l~(C2e~gH#t6MT+`MVr^M3M#tHvyi(x;iaz))RGJCuWuD&aJs5THTSew# zkZTr{lcZV7)No5xSPZ+{s$YAXQwINRq~DuICtPcV8sGVLhZuY9o7A*H>KcAxysCu{ z>a5us-&8a3*&zOSwJpd?+y#Xlea*=~5Z2zJPXKiUtIYc^wftpuw7;dpVcCnpb1;`m zbGuFA*J33U0m*MbK2`+e!=H8+j_rTRa05~s-0XFOTzJAC4Z3ndHWQkWYMLl}UmHRq zUH==xb-^N`VM!LHhi``*P6Z45#i^n~Ia>`PZ6Gk9vRA`BhIRs>JTXt-;d_y#G$=jjqRX3vi@X zHOXLjIJ%1`LRu_IVF%ShcU0`VF#7T@K5f2n52SfCcn6Z_RjJ~g8_n?(A5dShBBurS z2Jd$jG^5mH4wgu#MRKUf^=Ss|5{*bCZSlDkG)MBHOMNCppL>ykMjD;T8zTut7xI-q zp%>C0RObr*CZ^&6p9KY&|K0^vB)Pe_g-?mv&|x!UeYT%^24B0xhAR9}&nA>Z!%<8^ z%4O&@@+}=!Sl>1fmkD(hAc-rFAZ%$!l_?LYr?_+BC@$?f#P~*AcG1Av0{%K(t6by^ z7PJIhufMt%viWE0_;oqJCsM{@X0fE^M(X_xq%9Q28cUQY53{ z*oZj1MTc|BvG(EQ1E0qbH#xBi*l@3I$&mU$@WN5(_n#lgHj%LPw-pb>$CW0;kbr^7 zK^R^8PtWfeLyAg;0shq&n5m>o70GX?>IrgpxZfdl-oG4GjFURv^)u_+juDSyz&^;{ z4$SE{dNOmlO-j0+ z9Jx-kCf+IQD~joojMbQ+UA?FSi1(SU>iCO z7h2rX21H4?U|i>2CoIhwQPX|ja^StvC=#lw%=h+lXnLyLp0EXy`<~eO zRw|A=sje|qn-DDK`smjysHh3X3WNF&ycXsS1gNdBNtoQD6xy`Tr}RN}e6UMe4N9 zj>PJKH^TceRb%vZh|a~-V#8jV3mt&cMs!bISUkP4@#n2fMRll5ah2@0ie4 zKD~|LcHvsg@^Me?kWLj>D#J;I~iCFXzffM8jJ ziPRyK&KblK+(M%in#ud+-7{k2$k&2>>^pG$6Rp)EUFLiX_vg2TfvvQ@9eh&1UQVyq z>C<|hIC*eWN1Ap0$V{QgH%r4o_}3jPi1=)lkKbc4H$#N`BSqE6f4Yd^Ngr@5yI2+O zg=f3j;m2oNDEG$|m{ zEcyP9d7{lhZKw3!Mk@Ve;Bb`6Qa0BXbvvnl?cc@&grfcPTUAczOSi)W5Xe5`j=xa< zjXKPXY!XB6{=Hbs%LxUR!dRaJzZ+vvlJRBreyZ`K4~ax61`JYKqiZ)Af@=bYxsNMb zNUzlmU=#0qQH%436(uWGh#73=;y-4O31m>g(EuQ`c$`}HjcRx6+Hd~U&VxZW!!q!n7c9c{sq5!Dd zibZm24FtxCX$(B(ze}(mSm34(#rHKWx3%n9a5sNG2+RDDY|!1HKZRi<{dw|ftwuqc zeaz32oUrakzp{h%Tn=boLKgpBgN=vr*nynMlDc?IOXSHarSnMT6Xe*?k^oRk+^m}} z1;Mfps)KH_Z;OAYKJ~YMNDQvR2x@iwRK~R{9t%TgJyG)epsHkElakvrldU&!7PoA> zZU3r|V{d9cnn#(7Oez!WHqH;@$o?^KQ>s-YWX(49$Wt5)*?!13kU33i`$dKf_BnZ% zL!ybej8COXW04*L`JPC!gSl~@6nDxHRGwqeKxOL!6u^imv!yIyh2LM)w@QAVKc)>< zYM+EW1Q^7B>}fx!lK(gDBf+t%eHmG)jq3ON1|?aj73M3VT8+Ye{(Vo zgm))@Wlnx#x^)PO98q+-RrEn`!%Io$$TI)y7@AJ0dCTm>0!{kRg$m?52Wp-`wULCk z^e|92RdWl>HU@*9F#E=&vxmqA8qoYL*MBVexJ~FGedB=tqcGAcx^xK~-HSw$iny24OEw&` zWD^sepjkE`ch*#z>m)D)ICfZsd|9a@OpUAjxRj528-_wBg+jKp_X|Tf{gs5R5{T)j6_g;yW^K ze}{P?&~T6=PgO`^=f|H3y&*+R*iXKsKi9)pe|lGPzMkwh=V54$Ouxakri*EYx+$pw zgM?qi3`7)jYKbeDdGHauvLHyJrAl4ejOVn@6exE_76jvtjP(5D z2HrUcFCQfLbWhd%~eQNR9uChRP^FZ)oKel0%|uA*%qB4IwHb?H#sCm$wdO%`()8CSx6U zNxL)p#y#$FlAFf*=rVA~d4G;P794kF9sYLvreGXQ>6vqcNMOG)SQG&{!@n^)4a`(0 zB>CPUQO!bH=%7duUv#s81mDiclru)pO#YOf&c8Q9s`GpU7Am+uL>ZrFi0HjY#Y85j$nu z>dbCwzR8-eNRpsEt~3c|z-!NnF0DyH5K%QxUHe_g4QTHeUq#eFRxY2f!Wj~f$aQW4K53l zv)t1W)FMs7pZ69s=4IAT2 z59D0jNQXu#{^@1W$$rD7i}~lEmX0GT*kY~l8RnmxSaqFf8_T>q%a=31!II+EFH;x7 zi(SXk`yK3mS;eBk-py1Lr5pQ9+ojx-k`8~r@Bf?lz}{{DMC%@ojBbF zd!>`rXCR_y;!c0Kk@239`}wiL@Z!AwWB>B1>2S;TkdKK!L@w0N*dlooD@-CSDAT0P z5niOHm_!YY#vndDGTMZuL~h35_tpvmvHEc;eQVK%PLDGBcx|5MKfL&|(@HHOpLt*V z4KG)L*G!xH z>^-M&&a&fTnJsQm>&7qcZ1>`~fADHqRj7xr;?;_8A)%gLHl$yqCV;h*H=j<`Qv(OeswVo~Y+x1PX-Z5Ds=t<3-$s(p^H4|JFCuHnIA zyQb=nD|*DQ8e{>{B|T7UeUi-`U$FS(;8|b(>98W^+KBu1_Gab1$ z+EBv}$u*^SWr=G6;z?V+xo4`c+c%H>4-7u3IrXDaUl(t7OoUGk)96!vDvn+h*A7c~ z-4vf28$Wbip8$sby^53{|h z3=syIkshz|3=SwolZ`|>)6@kKp_FGvnhGdF3gN017cWv9@N*r+yA#e~25ri(EUt}w zZ}*v+VJwep5Rv^PaGjTCc4NQ_)_G!fD&saDT7&C03I_?vxr+^aBeoD^X;k|03zL4+ zx0%sJadGj4mF9H80lkFxYE|CiO}cL>&tA{|e!Gl>WS+@NYbu?T-`Mzyw|x3bXU%9J z`PrDges5UyP<1m><$7amLLeSD<~PTuPrD0v0uJuj3;(5htMR=ZtWR86x%evmA0sK% zJxu0umtc!g9!s@~C~J%*zF(ra6p5Fd)l{q3%aZZCUo@D)#6)tf{_XrQI_3h;W+ z`v!hg6nfXIr_WBmnH%3BMJY6PKI!Z`gl1;BfUm z!wy9J+VH-`&oag?9hm!cM#^{-qLYfCig44LFOol)(K`|yF|62s@P-Z&QnY02>95gLb4Bu6ZDtYPA|9a4-llG zIoiLf?Pys>`Fl-dRD6gkReCSMWi(1tr{LMw$NWQG3%Mw4n)0^o{Upkbs`pu#X67!% zCUI2%Ze~5B?#I%L$4Sjq{HXbrFRPmSo@O)-M?KPARnSZ|wSDd8IxCna1iuUOmzQd* zC^3X_f^bG~z%Y#(^?;4VT{;8Nf--c{6hLClCjUVE7f@KFgVZT(3}Zp_t^e{}d|gf! zvR=Q#?Y=AaG2QniC8}v}s*YsSBej>)4C3(x8xwlYFXHB-vDj)GZ8gIyWaf47boUvE%Wfs^U4s%wKp*QYe;#Ks|!2$!1j-xmOG0f%=f zP^q_m5)Ed6lU4`bmZC6oNB%zLejtK|l4oi_isfAb7~k@<&6i&p0^EIr^GmdxU#`<3 zmLv96!cvJ$vzD$>a{sUo^k0zbF$7McN~NrGdkBI=XlC+@mDir;^;VNin#Y$MhEbr_ zgmQe+ZXw^+o0$1MiQC~@yMYWB^Ff75xx0r*AaBFyE~-g{$?S!kDgZU1%G@8g6PxT5 z$mj@u01WW2a5yM4d(H}^8mA=dvIHotu!}>-57;j)wBsA=u_zKMFm$5yGNbAyRqHtL zq`mctam8H(8aCRJPU>(_gk;;KQ*z^`11=14q#J{R8YJ6qCjlKBQpx~hQ*HIpODMBe zII&z{cerEk|n!2(5L0Nz}JY z79w)L-QF4!+F7}^ZdekI>9YAj1!P8k$X&i0T!fvn-oR3sb_a%&Zv$PGgy~0F`=yV7L_2Dwm(ay9OEBq{lq?_fLr0O1?7<2NOXyNd?_`(6tV(Ac?Wgf4fzNQjZUqz7R z)wUg>&2%J0xF%N$mR|{J zJf8ol{*~X&jxUI&DmtkZP-H>7^K<^0b^WxE(dE&wt&92k2&4IEw_t#pP!veG*;s#n z#}Axj$b;JbAVC{6XA){Af@~7nkyUWn8*+Y~WyeZ#x$()O%smUf1Hqmh)R%AVKns@1 z=fl^cLJU05i;X!HueSru`tEkoYz{i&?yGSe*hth7k8N}mWID|YPSh{9xmAv4DZ3ec zHT7Vu7-v!4Oq>BOSE=S=%!vtXc4K@0fA2(WbA`JbsJiBCpk*jh+4W-4^1Mxf;LGzi z=SWS`0f`U+qgSE3i*4$WHg~GvD%!>M8A&X#Nn!o`UOjKly>>dM8?PHbz6>0IFI(t; zV6PFXdS8RM$=(da92`~&o6uxcJ0F;;`!JA>5OJ1fO}wK&lR^Nrx&1lV;2iRWY5Qc%)E*)292KPhUf#VwG=Qf z)7l@_C`aHnDuRFy#Jlf9qN8#7a3+;&^gEAg-+aHMbJ}~>J00l8x##LXqC%OmqN9!d zd3!=Yc5!fVDY(JY20QX^&v5_Lg;zmgUn#b6I>#3}{rkB*AVmcJr+TOzrOukd(T0mg z|H)O}yNdlkK~1{Rq8J{?;LEZrD=W>}vYwgpJPna_o<;-w7py0iMGJZ;yF1F5@5K1rMI=LWM06@T`z*hyk;D5(23 z+aoh(eS?}pWvZJK7rF=SRNe4YSP&KXts!#*7)z<#hW3>nbvC;JuRbh%`TX-Lym%a0 z-cCHy#H7>#k0)iSTQ27{;`%tHqVJUmoFgc&;{&Jv0b)bDYWzg9@;^rgyx$J=|4bxE zXn7?dRdP!U-+KcGGG;g^!UK9%F+qKJkk=wovyvvahopiW8y-@rl&fFXsOZejB@Z%z z7Feygxi-d!2x~#B`!Q}d;+B6?AAj#iI-8id9F~_IAZ_`}kf2)1dr?f}_P7LJvrTt+RLs@97tZx zSW_)r-Z~-TrK9*XIvpvg!0`k~vkIRLt^keukj+~<3eb7(vU_D>CL7;?^9SAJEGzg; z1oMKfL220!3vuybYdlbOLpEsl*|-_*#(>F{g-#*f@y@5(hGE=?60J6KnL(e6pU<$d zI(@Y(P`al*YaAPhCtR<9ct}hd^xcC~ySZv=g)P!D8{3JaE-}HSJhV94Fo^L&L=0;f zd`Lc{xbgLc6Z(~(b$0M56`7raDs$BddX)Rz2fyLfVsKt5Ve78S3DN!S2uj`!Y?zS& zZs9R%xYrZX-m6yxRrX)b5juhr@Ls#ViQ-vV#MvgA<5z+3*q=cA0tapJ*iaYnQXuSs zw;3oHt>X72f|!xL2c$~v#OOb#Prc`#UvI6j7(3diZiT#zMHLDi6s*n2riDi3yZ2G# zbB2OG>kOK*J&@LWO2CkcEjKhups2CIl_#&_VTlZ=sdE+m$n2Q9NcymN25Pc)c!x6s$C|^ex7Fvbg6mC=M4|g{dAT00Rea^^pyU6~ud)&Jm(Ho4;o%J?HfT2{y1H z?=&8ov6l}2IIVYVq?hN->wu+P;BVc#yp9pBM~8Mbt34=@#Dp1Fsoh;p9Uhpsx$M2hC^~E?ieMghO`UY( zVG${&Dtw^!DHlhV3`J_O{r@rb)^SmNU)%7|AOcc?q@se--K8KQE!|zxDLn`ZA|)a@ zbPY&%GjtE#okMr`d&ckYxj*mz%flJZ?!8xB>sr^d8LZW3DiyueelGbIH+a z>DJSoj=ve;HuDMGtVt^U@r%?B>3Tz)xUi=38{OezX-%R#zQ(n51%=DUvOEx}$KFWD zI51+#fDq_9iq^~|A1F*R2gFQZ+5<02at_DvX*;@ z&2@E1FAJUU_CEw2Fjw)`wL0FkwVmNmn1`Y@X*oCgSe4$NeatvuUeIeO_duB&9RKft z> zIbJg9J~hPFmdvO29HMk`7&$F|E$m%j8bA!=OJz!r{N$ta z5*+wHf=CTF4yf1R0PaCX-a>HUu4dJ()Bpv@I<#k>%pvDNf%$3S)2De%qMw! ze9lu$Zp_3AV{5DpK1Y)$-2QV1f&Tx2e5OR{D5HI5e!v^Y?@zmMcC@u?6+fXHNIQvJ zK8o!a&0N*gxV*V*T0A(*?|1VWxLz_8P6rK%jt5;(Kr=YI?W-iJ*s)a^sxu9!P_Mb% zsDKc=v2_wOaV5k@Kdo8AvD@l+f{O9eR*nXyC52FqU5gg8h(o zzW75;Ai#gFZ3w_?c4lZP@%8h}BBi1w}+LF5Ua4#EvY(pHpz zd!MCDAeI~x8U9kdz(;v(<6EhC<)0`3#NHEX)PDa@qXm+cg}!{T3b2d$YaU9XgBpg< zpz7nuPgAJfZq?sT7?StW0M)4KXREobUwf$~;a~Z|j2qRSpn@>hFh%&H*FNT{I8oPf z3NJMg)buI5r3nVUdG@_H;M8D%8c;opDk{|vk^KSqHqLMEKF((n{sjE$yVsJP$V3_h z+(isO<{053$YfN9bjW@ zqGR>RH{*MA1Qx1M1}!-dCg|nTtdG-?bs*AZ5-T;X0#J7j92%&OcRWL99l>Wb z*?z|F%HG%cSgU=izUh79YkNK*AyI{YjaB~l*VZWi=dvqgU=jY83wTI05P`DvVT7Q8 zMRex#6{RIonN0f|&U4oca(K}dq`lW?yzL-%#H3oOpmY=4q2iVX1QjMQa{cA-k(YyO zkDlldDG^Fj9sn^JJ{nj4T)4$cf_q`aj{uc4i6Ze{{oh#n=g3!ku;O!Kgt2~pS9@ENr zhaFTHfC};@FXSA3m;EPJ)@UxxgDSvHwR)-d>&FbTJf@3A02b&Gix9T^gd|P|ipNI) z0V)&L~i%AiaOiZh@Lp76`@IRgj`~-v9g$l)~QUS!9u~zP}7?TYpRu z4;%H9C!pLlWjxEj(ZZkJCPIf73(3Ai_?%yVCj8d?<{e0jJW zoV=h8%4|RmuUea~oVUBlCRXA3M1YLt@(M=0$oRo6Dxn=DF?{z=z=7)TA`@J&-vU5w zL@}jIXBE|7 z28sipa63-`N0kHH>9g|RTnK{=#}6)veSfP~oUjoV4jC;>N}K&Y8BnYjVk~Z-oD{uS z)#3mtPgoIx`+qd?e*k-s^-}V(HZTs#vWl6yZ9t!wKD2Jo{Sfn~MyD=$q=?>((v-(gxIrpMGr7V_ZdmK>h%ixK;IwHsZv`@cu8rO@0vQ9%te z_Jz6_|1jx*9z@oq40!b9(GG+G=F9Mtp_ibB$rvKNE#N&nYM~gA`l8+#QwJcunGTn7 zJU|E|ZU%27P`-kGnKFtfHIQN4c{+#vv1O{JKi~kCaeH-7yJ}{gKzhneTblD z&(TdUk_>@}EPEArgnQ2SzRmw9oDFqws3Fr7i?1Tyod8s>pwog+Dm&>;K%1trf&3jc zR`c}+J|k`J%yduW+kyPrnRCfdjBSSxBm}95hR5&UDJ!WeI5X7ADKc^Qtpl*JoXoR| zr~hLd0=3ogV+07?L|MdR{}+9%=7MBDnmm`Xgx1+CF*G!RX-`iq1G z2XO4yO_npy@j~+6Y-aEmRl4E z{`vl|0WXJu+Gj`*9@yA9~ z0c9{nRm1`#w8mioFwKlT-BV(k?a47w`qQLG{!@+yIiHI49{B);>(aFsia%w4G_G*t z3(!!x5M_7h;s`Hrw|PYU4d?&w#>wH@p%|!Nc_ROG7~9}WvQ!%Zb1cU^4IryWepEpi zG!!}GhHYKkC|r$~J7HH%H0Q%{nsN4eCZ=5hcILDnnd&IG^WJEUFr>+WmSD)zJvf_DJZvb1sH~wHVn~eVsaee2; zd~!;^-XPL({^X^bWgENBX++>S3}-q1S? z@^C81z&DD!32V?9uWI)rRY1pWydrmnwXfZP zzGb8>0TA&BI(;R02EJA_B+s(*qrTI~vqB&47-1tyeHtQ_#yOOh^ijvduP;SXUD5&w zxJ3DB#78em+h7s3s8=PNKQ?%ODBHY5Q9UM(yH!vud$9%R^56 z6jY>zMf5|8nBZaFtI>~;m015|VyC03P?KoBAeRET&%^{B(^wt#w;(8lM;r zNGw3{*Iz~pA#*6c4QZlWxUDa92cpIDx_PHiK?`qON)ULuKsUq*)g20Rbbri5g2Z1B zUmXQgt5j94E?3~5gm&y`n}|evk~gnqmSKS$m1$#gGb{J24;=8!BYX73EU5-O2+ePv z^hyzuSAjD%TZ2#GJ$r#C*y2j9__>9SsLL?j;?V=i$%gvB9o6n&R+sWGaUrZp_kW&l z2LE^0Tj`PWU1z}RVQOoZKr$1A=OdD7Kqgep7loo<)Vu^HJ(Q#&q&^2JwMlBV;p7W4 zAYNj_I3McIOztV~^}Lq*4Pl?4AAK(7R1!66inj7DQJPm>J6xCc7>+hO0X-?5rzr2! zN1h(B?<-H3y%>sY3HIWn6OLks_&bnq+$7Q%)KAU(ukIwoqEAU>w? z9z({IuOlcFWbSA|k`Ta`pP}QNC^4Cq$*_JcJI0G89`mn#DP>pj=6S}6hqT@oRcn9$ zz5#JhyWKy;-3VvJuB(ZolMHdt)QyCo(xrKzfQnW<@IV({m!7-skXhRzL%L8BYlLhUBycG-p*rqDi&pWg%+J17Mji1KU72Sn}1my1u`;& z5uTV#b5fG`kMLzdR~=$nZm-7nYu8P{|MqKTBNM}tq2nAkEN=U^VH^zf!kwLP|o4S z#pL#wdHL=2;=0RWpOIcidUhcEu|U)-OIHc)gNT*-jsF@bzwtl>yR#3d128~sAB9WN zK@}r+RsKkmWF`4lF8Tn$oS7MCcwxB zh33#9>tRj2VStIjl>ECKfr=OC?^0r_OMrOZ+D?4XA!boLN=F3^o?T}iv(~UM`r&)U zHIRQx;h?%->V>N5{-9;7Lu`36Jorpo+3|P7lJzIsd85ApU)u+oCh{GKlBROCR!~MN z$dMHR7X63UekZ?PgTe;kZXk~m!!F^Y3Rd6+Thu;|0e2`32!p$uU33zl;a*sJZRyK4 zEnkz0Lah6?PwM1}W9%c`@*xVeL-xLq&1ELB7VSs8wC8U0kR^Mef7HybM$8C<@X(z+p+I^99rGF>+j&QWqQXGHzWH2?tEE5$;B!MfyF7sBNK#;#k%vm9Z>h&s6g{9ljS z(7MhRqZ6Sk!Cl}>k=6Ux>#k^Visl1Um@VIlLowoReTjAHPhvWjHu~34Ky%HTMW90( zR!QNWUGEdyYsSOND$1~&tTRl|KT z5OwIUvk-&oFQ5%foti$0%M-#N;gqk?)HORx zdxu$rrKtU+V8C?n2p0r`cPN(gEz%miD27?z*W(|27XGh-yZcEY}DzX8QLEguT+V`BfE8W*f`ezzIK zpU0p_imrV5Sr6eKO7D-={6h{2G;e(!hf-&bL7ff{_MIa-VAuo1z~XL{f%BuL&X!2(F*OLGpMgjkyDVvb*kWJ3~ zcKQ>ss2t9kg8*7ylklrN2?^U}$>%)M8T|^1Yi-8&SvJ}h6YJmvSaY5OrPm4rh*TaSI%O z0hNJD^cmVl)tWfwkG^=t%Tns77_NBht!07Vw?W?mIsT=M&F3bd?=(O!s^2?HY@nG z|A&kc3?;@9LyP_CspFRDo&dN&W$&GF6&^dGPV{JNKRUXS6Q4*jQ)1;E@BV`y9b}P_ z<7~NI5c^6+GsR+~8WhYVsFFHK(zSl4vRW6rN4&L4dp>ty?M<9yjv}TL7(W|9&%Awu zYU!PLGBZ~%3x>hUiS?SAoo7^uu?fmy3IEwh3M%WgqrI*QMO^`Ji+w3t^Z1M?N3EZ} z8SRH%V|f1oFe#h4c9!sN3eYHU00Cp2_~2Lb>rQ8Do0iH!uyJjfvDEQ=v8!o1^0V*d z0e$Y>Zy?A*D@LM7k9%&x%JjP)hoEtE0VQMH6ge1+IwJYPcGY&5|Lt_m^$%rUFSSE^ z(a~q+{S2=<7vS2B7J5taWO(}xI53N^p%c{YB&#Wgf0s)plg8O80~ZNYR__ypb z{i@m&@7x&N5=7>18=na!spFS{D}x$u`e&R}?9B!yesNj9Yg2QA$}#CoUv1~Td!YPy zDiJuD(Ko_w0dWshr4+SgU9X-};9b7=iGMTAXQ|l62-cStJ&8A<8iT(GqoS@L5=v(E z3$=R~)o#%pY)Ja2Isv%}3Te_fNl`%k@cc;N(nI*JE!Bv%yctpQ;gv^Pe$R?F#aL6_ zKq#FXaIN@`ywR%i%%8SWhhloWYD>`HrHXCdLDD_X&>51i%o8-&{p{BjYrQIRhI{+* zwtAjHtaAm&-P!Xr!arGHD!yqa3YreMxLBwIcsSF7W zJp$?G^gQwY{RQ{8-hz#9OFI_H9D@cIn*O`dK@&Rj1+pSUI<$fyN1k9?fD5c#(c`x9 zXo}-*R{{wgavf_Z&$;M|A33;B_ToA`B%L<$4|#)cO2GO=4l`+efVzKWY!ed$jev)? zXw%le11H`pEqmv;pbEW@g&a%a)PYOSoS`MzY$VN@?sMMQiREnpG+XncV*!eAZV~QJ zj@?i=Z;o^yBh5|ErF3KzjOoSzrH1SLwg$hr&5YG?`%(Y$8;4-sWs`xoEibXXd)1lv z9-GwQuoGIWTs59?y5G^oQVQ((yjy}MUiWiTrSP%JRqcJY8%PqXSKagt2(3O+p3W|* zA~h!7oz|M;N}l&3K#<*N#mFY5%(< z-ZIZid(~VU8^pwvCW84mA)DpnRS539GCN^PTkUc~#6V5_4BrU#Wy)@0S8JYpj7fha z?|)X&5#&_Nix(0AS#T3?0O)XFknh^5L{f|8pFouzBthrn+&#)KsWJz}&VRlpnI9V} zM}Cj?`_8{HznTw-~ArmxI4ws*W#pADjb$fu_v~63%PU#|BTVHh@L4culLnUpsaj2CKimu zV|^mzD>Ap;c5*efku-Ya+AWa$r$5zM@n%$(MbTIh{Hn@vy%SSY794HB7xi0JR-wQx zKCAsF52YWuwW0=X4vbj|Ur8uA?x~R5@8*(S>F&~`vopo+G%9%@z9;5|8>2NA-9!r^tyWaxV{8UoBnm6}Q)D&K@q(FLX#j#3G!^FQ`Uj=$rzhzRv{-`u*-gMb_?IqcuBa?C8s|jg6`6;-qJ}m5<0uP7QcVVX2>HW8Fu^OU*6~Uf1n?u+Atjt|3?RGhL|4L#I zij}HR{JUI!z_Gez_hVQBa2NgR&(ruHHoGA4Fyb35$1<$ouuJ#u z<+SuWNw2;QrdEe0VPSE_(gRL{cYdylhcwNK=%7t=FnugPgP3seV)4i;*@h%bWS}e( zJ2Ac&^N=mEIQJA4;N>*J18JVTLHbiHd0@`<`$_krY>UhfMX<$(@H@)ew>4TO9k*^= zansDHmv5`I1V>!05{B2&JGiE5%|59C9xHd6PPC;ix0Fz37h&$fr3@f^$eG^~ zWYC(u8-H-YGN-YY9Q(EgXIJvYDqArVy8!_NS{8TeLn zw)6D~O%7n+ivNQ@&)h&Mi@%P(B+FY^H_8ioE~E6s1IL%nzMP~g2y5Cf9t;NK&nesL z^FcHRm9l#C%h{kH5Kbbt|50sX`v(%1f6W85C(}D%W~=v5jC}Ts(VDYa1;^~Y=7QPu z1Xh5#lyA42(B8Cn**rK<5$5;Rh5wW!gj6!#sA1tk`lz~Hpmqb{6Yx%@rHz(Dzf2u#IG5w zL*W^Bz_?G0xisCt@uzKk6;Tu)+-x6U0`VIA%d4*<0$VKZy?=F14`^5RHCh!BtvxSr zzoQs*Q~&cK*BE**qQ-3jOTb78{0yj;)m4UVMdYb-u0Mz%(-;ecFJSC}sp7eFer{go!exVgB1Dgab%p-Cd%lg~Eju6+;RN4!Ng-w}o!`DRIEA}Be1 z*IYMrVDLTS-J}mj6jN!;B^FGVf4y&gDtAS|73 zH&gkB{Nsfuc7W#C=whyrn$CUHI0MRd~K zLw|lceE1U~7$3}P=m-tM+H_O@tR6%> zetY8ZT7=~B9-r%~;Q9{eB7YZ*he;`CSNDC|=LbuIfd%cswFEN(*Mmr9^Kx7ZIB;?9 zCHa9UkX}t@cjb-`a(s1FykdKA*Yp({Fwfv-h|gEM_T(Itpe}Tza0o50yeYx?_>fpM zR{Aa3uKj#5i|hwa3WRO4u*FO2m#bdz+mP3$Ckhty=$WCfd7kbXcVA_fmd(-ME6{eB zV6ZVfONc^zi>2*bzPQ3|j}_3J#wGd{K_{lZ)vtZ9xWpI}zGhL_-$C>OYO_8)G!oKN zuxq|0rhD%)@n~Ymm(-w1kFDgvg7|$&v(GB8?=LOa1Vc=T?yIB+Rk|Wo8;qB5S&73N zt$T(E5#%gMqWr*ctN9X;kG_XC-7oP=t2%|t$A7Z!^b%>%0<}w~zA&&SnTODTmZ*@D zOv|yJT(qe@dxgU$%i`GyH^gw39;xNhCw`gWrIsN3R{Ui5cia2MRT70q{jEIb7c~{; z6T4l`MnGI&spLe5eZo2x`At&9m#Z_!>Xey-tJ#zUh7gwC>8XGz;ui;EYtn?bd|(&+ zOi|rm$L0Ao+%&8{j8RutwLSUmaga2VKJb0Lc+@?mp6$u{#$u^5U!TuCHNny0$#q}l z()m6acF^Iml;3B&F4mBkB7}XY74(hEGAI3Fc_f2IJWQO1g)F*`4a8~1_DAMLIdb}_5DUu)g z;7g1kZD0a+A5fSRMczNtU0l@$v19xjRMJQ}zxM=Am{{f5QhTLxz<8qY92D%Koerq$ z7L~flyjUi|z_f7M;5j!QTr|OvWAJ#e*@a9^`9Rc(^1%_EQ;+a<8gZ5xo-X+fHES`K zz9v>_$HWk#l-oTJ&DDx8MMsaW)_!ih@YUn|XE3Ceu5$;~x{@X2IJNw??s}3Tr@p+_ zNy!U;l-=WwMaBRTwDIl4N#g+}dy=x4?Hd^YUo?!h&M1f=o0JSL^qkjF=fdr| zC)ptuGo)zAQ|!ufIH$FUbID^Yr*!*(YOqoz-<@}Cx*y@x+k^K7{aT|aap&Pm|2R}9 zrmQjAbHK1xf|5qmOFj76s+}9&Ep%7#Ry2u|Rlan%q4*I_??2Q5d!|OUru+vG$i)Rl z46=9ZSp9u7bRK-R6w10K4h;Qft|u5S_l3_fA(?wn5eUOR5Fcso9!N3w)iiBqW3orZ z!Jqv@KJZo~Vu8qQphiXkGrZ2FCj4#C50+nC?c>Q?JyEHDpH;JtUWTwy8k{)prtk3j z{2X!q%$}3j^7m0}fs==1F6~2|#Z{20k-lbD@`#w!bhj%86aB#GPptF5d0so)4_6mu zo!IaLk;Jf^3jr}nXRpHB#$TSBVwDM7rrH+I9abHOl<$%ws>rN~Uj`d+JUw~N&`jbn z)ubCCX-8ST@`$Ehv`Xx$gP&cryE~ z!9%$Ij;Oqk(_~83woA=!nOR$|iyu7i_=~|G@4w}fD>DXp`2-sl2@3megyUH8O>9>J zE_1T9^a0}nPiLmvtPp%#c(=Rw^&zJWpD1npHofF6#xrB+A$}uCXSa)Sj>$j3V zsPUf^DG4p67uSdFbQ|NpeU+5a+)NVC#<5o5{07_|IgF_^O<)}bGnp;57>LkR->o|& z&WzS0oEP2pYy*cm1rZBUvE;@`$A-6s*LmjKWb{4D-V8FUc*G^Lpz8QlHQhI9P^`}@ zsbFxQG~|?$xYUqu$Nnk)J><%q`B(dMlPwv7YCbW`^T0H_r;0wXE6UK<9J@M>g>Ax* z{S?iXmIr#TDtl)6w(OW?Bz7suI7S-e#+BDy?BRW%Tg<;|@e9~>7#H@-OHH@DzVods zg-?G|sK1^L|B{N&KHt4TWpZxFnvX@m3Neh<_N$c)IEjSZtb@-Vie7%M#Nny*h7|=} zh!8=+i(nxyz_JI9JLJOsR6^KoEsMWn)RJ&TuU=|S1g(LznP(_;JDj*=ESQZ==f;f( z;08Nt9B}BgN-#ukN)%jzP z{lI{9e>2j?tDmj(LeV!V={Y*@n(lCni~poeAn*TX?LzxvsyRZ}BYc2B<)i@@ z;I3KbiYN_cGo?P%8l$NPhphWgj0nO}&^&b(>6mVYvPCx1p*?V6tkiigGuxc}))D{O_6mh@K1S%BTZq^CQpn zS;FV$ou(uEiTSLxU5+>9A>FbryPJ#o^P6RnjFjQmyc-tL`*XDv;hJ`~U2cKtccNpd zqNLLEueei;f9-QcR@;L`6Q2X43o>FXw4b1oH{0ud3wk{8f)Y3h+lZq}O}&`65yjfT z)vkOH#NotfxVq@meM?2Gi?HPnMln#>NJQr|0nuy$#)liOT=>tM^o)xD0G;}%Gv2f8 z56#szd*{^9lvs#L2@sEff%W)N#Bekh;%vIbccc$X0^8ofFD%%kr#ozOSIN@FnySM$ z6{XtzO_`OH*K3eo%hCETVyH&1eX<@mYx*+2Clv7-b|0I|U}RmiJhZm@_=%51Rt!!G zYcb>MUW|TYkUedchilT$=cV?5lfY)|PrlN;K(n4I;h0CK)fr#=O=}+Zek7mA7w0<% z#S**03&+H6az_W^4}1hIpQ&c)0QmumSo3 zTE9iA6n&B~LfTL!4vl+J^&Ln2>MxDrwuO@2Ew2L?*ChYIOx}B48DWPMT8(r=zf2fQ zT7m^3a;tCT#^Yx>Nwfih{F0Rdw?D?fs@2N(@un^AL&?kc@bH6P2%>T3YsAGWf?}!O zR6<`&27oD9nm#-4=9&L-GWxn^D(nPhEWX06P#8P*gHE1@;MYVMzTyllKC#Oo{b&aA zzz~$B^&BDO1cUr7FAWcXU9>)7%8mk3l@X&W7b_^n`qaP(;4eTG6Q6&K1eto?-dWyx z-mM=449-)F@Zi(dknvGN%*-jD1#s=d+gKtQ7X?iJ4=w#D)&N?`Sp)45^O_zxm9M1+ zga^G+y--uDtv&X-h0(+EmRfh)dL7{iJ#K^B5~ioqkgNEHT>sA)*U8wTVQf+r#0D`mroUs?)Y&!bxl$($mdHN5_*vD_vX zAM9^TDy)&rI!K0>o)VoBGRBPodoc!`-Impbm6>66r8K=*P>o6nU&)}G%r}zP38~BS ztP5NDqoE2*bpzMdz3B|lsBW5voc?+wZ#Oz;{R6px{3iwfQ(mk#$3|02p^1Kr-UvVn zHhNRtXw2U|I|le50e^;n1XU2oKQCD%q1NQL|C!OKVvz@w{xxh_82vNdYCTx$Yp?NL z=w#uTxwp_YJWaX5-h7NFpDfo?H=VQc3TV_DYG?TUo=F`#_&U3meq@WYHtw0yp}kGP z45N&Deip0B0ec>g<#(9weG_~O1fqv-uK)^I5W=^DBZ;1vMEo@I5a9Ws2K7@2mLtu%mfN_$wdV?Z%~N0`e+=AR&z63To~))FS@A$1akI- z(K~wlgGgElPbu!oEe^iylE{DgnoFN~+$Uwhd=(nAe&Xs4HGr>4U06VgT zeV<$_;<$|j;O(XM#glo>0HIpZHtpWW{jWFrd#A}j)X(OyjGn;UwQOz~S&z9(i+Dh)%+YKuaj($Y?&r%w?)Nt33%BLkDyeQS*Fc#n zj5P{}?}Le^LX(jCg+FQxpA8@a&#wuq0Y*^a9^6zM0O0Ep3GBn6N_3Fb{~8QB+#%bf zZV2|B|LCV!1$POAiiO>26ti-${nEzGC~ynkz5+jdWBPlFkvUMJj zaS#BH4ZotnKohZazg#CSTAb-HpRVKqJ133p&dZZ~kQlePd%M47 zbkAHy>+i@<|UjZVNu%$2G&pjutsm*Ifb1?O}Ba9Kk=;Ey(&ScKa=*+XZ z!MCSfo0W|`M-$xdc#Z~m9$KI~Kh`E=^4oqHx_#R&D{Y+VVU4Md+akK+rba8Uo)qt!q)3wRJ09ith^s zPd;>Z+9+n7uum;r1b?NC{Wira!*F>BSqfUS^=6h0Vbk5a_?Gxtt4dsPUEy2wiGpCo z%B^j@NsKe;|3n2ZcXuG9pqN%#U)lbpJc^&7Y7--|1Slk>$*K8li2CE8B3 z@4e>R%uVF>R|}O~EIyj-&>$qVv$o?h2`!NT3Us{OZoinjyb>F&9$-cCXFdM{rUG6>crFfql$qE$B3!0AkpS@4oL*Co@l z&~{F}+Ceu%FfbqI`($LTlfhh_=Ep)6M*pZv2c(PCyQ|sjo1B%4k(ynS*3)Y_kBB9I zlzJCIJ&`Dx$Y;3EP|_p(X}4{fHpGO7wMv6|dr7ASgGf7yfB!)9aTNjdm?f6wMl1Hu zZ96Bsiy`34TD}+ZW^H$hy0t9PXa8qiz?|IvnmpCpOcxhT;1vj${7xXR*yQoHnD9$y}% z2k#w4oJTh6tK1%Y?_XawC?mvE$-=QH>gT70=?sc4e;<@-nA9x8+3!LQCYg%J7Qh1! zZ!L9sqjKWrd_?P4uKN~)ld>?m4v7=ry+~f($sNUgb<7*v%_K#-@rmb5aN$Nj*JdRShF$_^=-6saLhODk?}*q zl3pEI@Nug)j5bv&Q7wXLNjhe8|Jl7AKjsTDFXOuGFE+cK^O=OwlAv9BkYR)DhYz(g zrnp*yBRPEO2z&*BBNaq0eKMf4@_p*|$thL(Z?E>Zj~)X$$*2=eHdGSK%pR%c&Wn z?Yi&OeLd?{@^R=Rakw!0S!eA^96(;0gl<@<8RcQDQjny$gdp{<-S_Z4kGOKx#wr;; zUwMV>U^AQ%NZn|7Z8@owUTc^gE^R0J^(wEk$mR-=3BYJ;>EhT zDV<2t-}h8{Oh>+gQ|%^OeooB4?k+4(7(|kr5zxE#wUBXBYhKECyOZUVl?I$(SUqan zTl)(%(9q8T>}F-|KDISFB?*Ww2v33)+g&zH&a*-K+G!NN*Psza{}-Cc2p=b5>nS8Iw^FNgF_uqYlPQ2s7mUBN#L;5s!Y zA8$yH2_kP%P@s+TGcIA$7O%%Yw)QnzyPX*e|6(O&cK`v*+yV&9;7;8KiZJtsMl1;M z;~=+=@D!n9v|=o~hxzJWDxZgP2;*}Ru@+}lX5Q46`vboYw*hoboT8?M*zy~jjkR?)3F*3%*~22j~W+YA7D z!P-xMv5tt&-E>#`B|ry%u2^U7IJQ@Z^c2!5%)}Q~$akW>9%OpO@E60R$eydN-yFEC zyA;RWF|8I-CBkgaA{aclXu>dQFCKy#Yr$bp(rOJ(;K zT`}LtIPnQhW{%xpgOU#MOgs}WPI@0RHvT$uY*c|M>}k@QrnRN%o*x;V+a*wD^ zmw!mP;5`OR^9FdstuQbm@(obd#J?tr=G800c@oQDH^oxV@u+;ya)G7`?vh6O$~~>X&sEhH^EZ68{FRmr27+@H z&j2zTQ)hYPYW2UlGd!F%;G+N@mZtF+-+PX$BJqq_Jhcw_P*05NF-suR`mWW0a|l6a zwP-}@-*QHN(3hFVau+}m`X)e*;<`*R%sgTWp~1(vnWhdPmMem3)8_QmB`LXeRGzw3 zRpUKNVbmu+NTqLAi9s;psym(~seUgHnZ6|v245zLeUCr&pJJL0ak>ReWf}sveB>WW z^pYR(9y!p}oyH<;Ed=B6PZ(VirlbJJhbEN_BtK8B>R|Y2xEO-FHVqfnYZAQ!a$;2W z_E^Na4A&~Yuy_@W?Anqauqyo#eixLA3e*P(V9tb`jc<)-=!F_=mo?sj7KpWl#Pm-L~OH)%OVQX@w$l~)GxtT zcbw)J&ds;AI&f27J5^^MO>-#wDn28VrYUdt&@cKp#Gf}n(?I?rs)XW}EtZ6H1c0Zo zdKeIt0Ge2OhmryZ^6>`Cb?U-zy^}$WZnv1MGr%iq&qNYHo57s!Xoh|~m`F_jN*Z5z zO`#@6(89^+s=#UV>85qjoF+iaBrOhZ2HFA>FM{3I!D0$3j$eZyjt|>0SQinN9~1bl zM@Qw7bVT^4%^Vd&@3up5*aNoavUq_dRe!d-&GG~+e+kC#g6#~~*dQ*09 zQQj{~d;S#~H=Qq*JHI%(8?)5A;nJ&7uuRu1;$?p93eB8+eTlICC0d6jY2|F4-SmC< z-@*eCoWmAy{Hx^_zd42iRuF>^NS$-(SPr}WMz1HnYKdjr)#emMxpr6;d^n+K$i zjs>~lXGd{e|2RydS5B<~csfPvWz%d%&_{-7b6PhA1@MP8?vPG7j- z0nRZ|Y(VS~SAMajQ#+Ux?vnk?+ui(TvrfcYU+D#xl)tfcG0DCw$UNLJC@Q&F>Qq$)KadKQVqbMdi`X9Ju z|3Q5Z)pF?kZ~njqmk{WV-I+8X_9)fC7abADK$_9I;CZ0=3u$&rg|b%WUmG^cT=H3b z-No*r)?a`#X=<<0hFpewwPYP7+qa1nyv5j7zR$77Tm)AO!sO5Y)JD7}G% zYUGni>kvD@?HNO>?N|#(!Qd!J{#)c2BNsp58ZY(=LMuAYSH`IRFfWV2Dd33KEIER; z-`{pUyMScY@qh+puJPe)L{XdOQkL4@>TO?3>1h&)y8lj_dbZ z=-aDyuK{=FZ@%~V>?9uoG-eEBe8vU-jVpUpZ+;wb*ys@E}XWcnq3z5Kv?ZPKU)5$)b6@g&%}n8%(HLB-Q{e^Tygv zp#PTMaAL5)si|Skb9-~+ZH%c{-P3`yKmKu$e_XN)9R?Lw+(>3IOW68*YuOsRT{lwG z6TH4SYl8kEphbZ8-?#;R@*L(ACPf+gXij=JFW}+=Y%{^Sldo0qo(I>#D&XmGw1Mx7 z?!}N@9tDi>#riVI@y?%6E|5|TxZB+k3pg(TWVvgWp*a1A>~tnfK|?7!d(!6((Vp1k zaNN+9<8Pi_v!m4IjiTFSPXtA$41pa(^huS|kl(je52K88p;obDaiV#k@=K0JRcNSm z5`P%$Q-oJXRfmM}OPQ9mm>}s9N()QmSqo0>3jz1E>vyp z3(B0e&o0?j2E~XBQ*0OYjBJRHn`_JZ?9<3g?`Ufrj=JLsNJM!GfwspO|(&uGz@p10~H+~0*4(g*ixJ?|jf*irDM zQ07{>4I5=Rr7LzGTf|Ehj8=LrTI#rxoqo2_zsVcQ@_-4Ma}{a`;VX5dtK2%>C0po! zNiL`E_b8AypcEQ7{{WeaT`JzPQ(Ehpu55akwzc(pH#4>~Js1I+8DT^kqCqdU4D$;b zb|{**ZnBIy(=s)RsXW|JWQHVxkg1s_5z@yj?(&fz_PztL8~^ir3*YECwD7E5^964> z&!3CFWJoO~rG)bKhLbC*82v+u=|y9uy<|uL1$s<ox++VaIU}8{6@{-ugn4F%t z^YZmE$W@1b){+>PO!U5bz1RlVjy!9)FYy%eJyAV;3y4H5&8Fasw{x_ad_6y2d))cb z)wwo6ewQd{`mu3e~6XCK~*&{4Ed0$;Bc#*BG8D}KD;uVMo z9!B1V#PqoK@@0!?WCecR&6mx1)A@diB+Iw=VwO~wPX&W0?~xy|4b@03S^u~GzehNv zF{ed1_T7trjpx{IjY@BgAMKzGZESw8?El_ZfftT7mGu1GSEJc+_O(z{FiYjX=*@wd zxpGzlhN`B}bmijly+>z+GBx`HZ$KqhmsWCz%d1Ma@hN^~Ts25AQ6o1JIv_mzfu$zs zwu(%+Xm-I;uNmB_VVg9w71@tcbW%l6f^gfeU~xC51=+6(6Q|X0h~%F9&NsNAm7uP? z=)GRTE9cUBNn`G4iL0*gVvcHm@&R-4T2xQ;e0^Gt1rm+T5WEko^Bxy6U*7 zzNfu3Dxo4B>X%SLx>H3kD3R_4=~%i25os04r4;E{O1is2x|>B{~@_Z36Ht9o3A;~{PsE1 zKF@}3)<_uUUTsadp`U`e`S|f#M@We$K1$A%cXujx`plZsKR%-;cho|4v1xZtwncmP z_y9pN(s2FTrDS`k>Cy8|r^8h##p@i`r>GQH%j_SRjJ1h*_-R-@Kh);vMDxJ1SVD_! zvQTe2Yv=A>!H9l<=;?O!3k(mmkw>|c^4S4RalUGgI{v6Cw%`b|RH#YKah*WMm^*fI zSXB$2)Zjw71D5hdq5!+u1S1-n4B`6kHuv@%1&rJE?=d~jSZUUGAsYp@6J&UQ`k`lB zzb;7bNq9yHPYhk!K2(TX3@F#(Ds2WV%8=j>In=KLUa>Hz%3$^=oI6@U5L)@cnKevT zS(B)VWEW{1Xg|8iL0eeR2A99+=jvb>yV zV_p794i|IxkuvcYg%GdrSS&F*?t);GaFDj@i4f|G-M{4B#{bhNAS( zlx-RGEo)pbmyRP5$Dzk=^Gi)g^01+n^+_Cuk=t|qFA#PdW9Mz+wJLQpW4>HXe$wxM zTCY^9{T{H-C|lK?&bStf%PJHeS8uBtUrhd%EyCAmnA(^uE;?`GT0GYHwoBnYT%2ay zZqp4Kqm&RO8L0pl{K5Wj`{+Kv8orO9SeB`@Up=%}_HZ?D=p-{Q9%P!?6FCIRV3Q#G zu3|)gX~|c>7+lP`I}e4l%a&f$R4iVi(FwGUc7VfSD~$27%0;@AfwS>jY+8rO89m11 z^5KD4sp)^DNh8bx%6tmD-h@FNOV*ZD_T;RaN$TE|GspN$o2<8z6UtaLEPWQY0iPM3+ucFSv&*MZEws0SN*UN1 z?KN47%^gNg&OGW)knw&f9ScYA(RhN9vq~Mi*h4pc%zUj*>7-D)TYcEQ;;P4|CfDn7 z!LgMbvB-P1GxB;xy#a-v$y}(MRr$lorQ$a8#MX{ym}iQ8g}j93^Dw|t9w3`Zhe{jj zxVv$w8=NRx6zz?_pS!;)iY`Q=d{gXkm@*V%`RCa=v5&sb5|{A!dXksDIT;2P-98E9 zqTit%D*&^8aW|;A3OhCQJ*)N+C3CEJ$F7<>?wT0Qj0_KC+Zh_|kvLQ47|%m4VlRc370-hiqsw2| zT@_y&*dWg*GX`o~hWQibKGs~h+(%f(qKyaxE-R$fh0;Tp1h%GjCEKPCn+*L?-%lIA zMI#&&=~IJQRtuBo#VxXCM*;DrdQ;}VM%!`K6)&VD@AtVo&pvtM z%Ifg=LrW~5;ciHmnr;oWn3(`zasbSEw*I>p*x_1|+=M*Nn+-QLKt;>$H90WL&FtDA z6@5TuwHIk!ENEs(3CHC3dBo96Xc@Yt+|5uJgYKltGCK|u=TM}3R;>@_*0qyKzO##t zHICIACLcD%a?zJ6+tBmAilL@S5$T&xu;V`5=J*cPi;Tr$875v)U?WI-=&8A<4)(*q z2aZY7osKljS`aoef|jIe$6Uc8 zILDEStQdoNH*ckApF^r0qv0o4UP-1_{u*j^YuxgzKlAKfXmHRADy^RBp`h%kA4-Z1 zuvdxB+_$q12%9#(_LiMXk(wEiCqDiu&8mx+@nfBT^}Oxealh|)3r3#aZPBLmc2%$s zJF?BQ>I*hviQ&!TDl}gt3V{aB@fmDZvI9}aeHPS$Wva-!h4@MPfILKH{qFt#_3h=U zW%@wOrVQ{Zo&K;7WCiC0kZ@~0%Qo2B`ewAZRYPiARMyh7?J-HRJEzY}OVCrm@UC7< zZPA>Eq>M9E!>Gt+!j0-{CR?nJ(j()~7m7l&deGbv-bT&A7k)WZqU-jQ4AtG1@*f7i z5hR-7&y9+M^za#!hL4>iWK&35TU0~R2Wgs=5TxG-kc?vL8^#AMSrA z&~&XE0Ihzyy*OYb0@_+EeNEW{D^jv;?6NM8LMHRTD2G-igg2VH(U@FK`+ncaDxrT& z?j+Xv2*(O}yrL^rx$biM3n7HwZe z;Ay(A9H5mYMf4~yz0)Pl#TrT_1YUK(yoy|}t#FN5tY^SOl zgfCftlps(cOdDt58q3_t`AQ^wNqI-4q;JXVs+-#X5aqky(DuF){%2pkG{4HXsh_h% zXX$IG7=)?w&rM@|-PNuVP6-={di8Zl{B+c${{~}0@}t)Y7eTFFa$eFYp-)+V*14VO zCrn*(Rl+Dk={QP#G`2(;yx{imY0Nx&GBt>D>pS=Kxbyue-p6Noo)O5_S+=Cd!e+@5 z6B*HN%Lunws>sXD;e`S+!${-K3G&C;y;wE)ln0p6@mE)I-1z$d1|@b+1S=-c zTNcERj6`xUj>5R-;#_A|w(b15J_TDzV(T>peI5tZ7VX4Z-FJ9dq8zR^<0ai?IX^3304A_8y9xO8_k3L0Tmi}qZ!mMS60 zR0UX~!Ka9JHkxjRc{|#7TaFeD%~t4&q4VH2uvqqa9UFuGIJMh1bg1dZ)v}>(Z(Dq_ z6vp+oHatx5B2NBzA_gr`KQ>{2jhxoqt8c__X!<7k3P*XYto*ok@=Ot)QYaRJtVUZ& z?xgr-hf63`H3+$xe9;tCgTH=(=*`-->@P0+sZpO*oA^tL9E{cogD1bEkose6w ziJu_TEq$MY4$(^*6H<)|63#gbXnHHbk9<+FV#p6qXu?xlbryO*z3Jmsq3^?m<>3me z-MR?bo;0{JfLGr@q4oeXH4FGT&&cx#e{OoJ_ajA(@0o&zlKgChaUCifMKyH}(Po8{ zk9cVMC|jOCpM6#uJQ<%5Ld3IdRc74brpNRja8NyT9#^tXS_(85=4+g^qxZk3!0Fs<_k!}+ zr%3%S>5~^Qeu(3lza)f`v&#>>jK9S(c!)*Uo=^ zbA)20?`5oaE1#8i@ibVexOhjMU7dNP#g&cgu`&lNM^9^HR?lfp6!zBF$`oKULu*VK zejG;A?lnfJQaPFyxdy_RMoqS11j2A35HH(ZV~g*(VPEcKm!x)wfLdBHU|ZJI$L!h? zA?rPVq?_~2Kr`M!beZ-#1?!lD>GK!~lZdO*Z7e;WmCm>U(Kq*cU+3{0veZL&@-@NC zV^FOF)-h4~|8NurLaPX!60at2%b*~$@GV(r&P|O08^)-9-x%7!e=@A-cJlSXNu<0KwBE#r#C2bF5HKV^f%O3iH z!E(}nUMVtXBI-%Wv~yU{9Zsf}HCA_{Li1gZ_dmM{GNms>wDW`IxK$m@dX#zYNB&1+ z=XAX*+kL@C^9q5+C@TDVRJp%QcE0_lBYWTXs>rlun5=xIgrPVg#$xbPIm>rpz&EWD zW11(LeoFf%dq7OT@o8IzXXJ4hR!styQ|h`fsCdfMdC`A>YUH<FH;$1RJ;!TV*6be_JKlOxpdQ!z3z-r(WLxUD zE#cFb#om4#(IqZ>-`R$0gaZ5>uXz{zUyZ^j2z>|$xHMZuB80d~Eq*_p|4|e)dt~8p z(zTiP=v~?U4xa{JC&?p~_n$A6?!j(L*Hu~wIGjqSlu?cbckIP1wb0)Vb8_i4A5xWh zdM29bFQV8ZO7E7JGB8J;yvP!+z4Pii`M$3B#bs^SXR-kC!W<+ai}3o>pEzNcwJhvZ zgZ>>V^`++@XKJr$jm778`;)Z0 zH>0BLpO-ix>>RlkTwO6y^B2jn+w0Ilbmztc%ekY{-hEBXr zHKre*du5QZeY@+vj+!mxff5`)5TW0GI;JGIe^@AybtP6+snW|x)~fA9ooy%gijz~f z6vsSai1e0?QV9o{ed?2_xGaw~7oQXN01J!4o~TA-Ct;JcJ{tYw!AV>7U3!fYJr&Z5 z)K~jfBE#;^^=AcLoimNP&eVBjjvAw!o0NNzl-B}!vRZ}wBiysIe6d!FQ0HGwYxa~-7*lPEptE(HIl7;9~hNv5t3GXWFI+Lbs&zi9c7@QMHAM!y-<8wtk45vr%M zZ;!eisffOQcQ#!h?-Y-VN58lS$ai)_1+-n?&_Vj2p>GF9`~{RGE&G;}QOeaf_R)^d zxJth={E)ZkY5I{=``#O`x=Y`Th$w60azMrWU>Oci#-EhABZw`j*&~i|>Wh z5*p8Y|C`}4qE(JEA+O8qkXZF{gl}{76|C>td`M;#Tur-FXYomC^KMM``@UGqWU1h% zsuRj<-SWR(Dsc?hY#@nP(hdirRd@a#39XLw(v~xImO2-o zIz?(#HtlbdMpPB~;T&n-<=z9SY&S;~|A({9jAs$$6gzZ}wt&S`$-k z8(lC7)|~@miUHZB+WRri`7AL|`u9IqSG#xZx@-n-bByNIFwGUz(yUhe42J%6i$N>C zq*k;sMUjgPteFd<^D`e}g@dT)*XJ^&g)gms!jc;48%r^bS{+|4TP9^y!5u+uEpH~G zp(eSm)o?UfcYg%uc~1;3onnw^r>1SeJa@o8Y-(4){9aW3e8N| z)TX5Yn*eL|gg7ZiWag&n2fC(}qMRFh%i8~@q!0(ZL=IF9pJL%P!749a2QPJpORANt z8>%tbq>cV8FPY-g#vdyqNVi5Z)YiPcFmA8DcyB=L2nb=Nnai{}OxLE5XC1CPuAly~=+VB%u<1?uRc7q- z+K{x3ZI!^dWV{-!+d;-!+=0vAG&VoD%Z58we@Cri1Fr$A_sO4|OO|xwjoA`6v0^vB z{h!$25K>$o*<0a%wuTBU7XV`)-^iKJmFL0BdrrdfVI4oH$xz61ReFqwcaw(O4*&9T@7!UO zEFdqh0Bj$&8$G{_ogS@Y#|`3H1TdYZzU<(|E?fvhA}OZ3Ty>UsT-Ni*9?ZWaaAI&{b-Oc={Jw&#uK*tU4j z*QJzZ@~sZ;q<-8$YH)aWU|OGRl=leL<#8>{x(~bVJdF9Vja|phYBlFXvNu%Z_I0FK zp=PF_iy}iFjXYWW+B6f? z41heqm1r^&qyP+8rn)8 z(JHL|ssFIM@0M(|Ye?j2g z@GX;n_EFK5kQ(k-`>eBya~>^c>-p}oP6Gn?ky5qcaSks(dWGr$_2UxoI57hxi6KLRy;ww~6yf0zIt z6II?6BE}W0pk>V4(KZ7@lgPz5K5_3DCrC$DFh)sP*?c%o@YvNXzf>^cc^aF3!DI8#d=azuXJ{J4JL4$#vIDaT1rRaNOLrKctZAf$`A!7pJiF z&VYwNtptARb$CQuxPK7;HBMA+d`aAf6*WVWWiHAKs0)JmA#>JH`>x;Z5rP4y_BCaE zhfA%N%*M{(W%1}DYo~pgf{sLn6>4+g@RWe-^1`@kPS<1h_6Hk}gnIr8MLlzZlYUEg zom}5nXW0B@5T})jCrB&mPZdkmU8AqXySwNiK;`mJ#K33j3v)nCl+5izXUU5Z?(A=S z0zvEHgm#HXIgMD1z&!W}q5sq$&!a=j< zPI`aHzB1YLzccNgw+=|T8=9`iW^bQq$g-~78=B=!RSFybi_;v)kbzU(3YYmS-nnqz zZ9CC}m@p%%>YZin*Kv=ZCKlh)e$~m7n=mMAe42;Zc(aMY5V7|`yA;pF1zatN= zxZSrV)vO~fD~`zcsRzl$N_`vEX7xJ%F#O$>+7Q6X+>9Diu3@axK>3(Y1eZJgZb@e) z=**!7OvV*{JsdQ;+lh_4CwmEwaaf=t`Lo*!9iit5p#w-EsG4W??>{lDco@@@PRIYj z_suN|Ykxr2sow?KMGtsgh?+>@W^(0E+GMP`o}S^brPbAy8+u;s+3!xTmTHs1@j>X| z8LzfRAOa*HSy8tx_4Hr0TY80DpdI%=e4Nrv&lG3Uv!!t3`U)e5H7SUeS_t#)jxy+Z z^i(Mk?oxLvqD-W_PE@(l$un<#ifx);TTnyp#x}@gMu$+%Qs>;1FQj2P*%SZTQncwfW{$+XEzPhd~-PZbgjOg_35aTWDf}M!3UWa zG>iVjQHJa|5Pq>9;6X(5++Z58c`SPIzU_-jNRr_?qU(^d99<1H+KX^@@?59?mO!R? zmQzz6Vsr95QS|FAvYbXEK4DL^)wlz`)`htsSET?knwc-q_I_3js}oxlzVCGlkVLB2>m)(4gh-Vv=8%?1Qq% ziZe?7Ev#4@H=hoGKpU-GaW_A#k_5Hw_L%OLVbiW7?XlV&Fc0x;FrD*{#xN2-MtMup zW3vthQg%Kt$HBJ4jg2w+nmcXmF@^k+{gzW?tW=QfB}s}vPSM78!KSfm7ixou$Ns+D zr2%_QblVS`MXGD`QyB%0ep2m~*l}J6dQ`rRqikhYPT%!?p1~$7UW^HoEN!AKyWrhw zcNzx;BM)-aa@Xb0%iJ7wP8wH8G5#v;633ycO~heGx@@rCri*^hJf`|5aNz z5E8-p41zEmeZ|p9lJi%orFWfUxS_M^OdY#2#8h3L?j11XW}EV(+#kHaMlNE0^pTe= z3Tq|Sj{+IFX`9E#0Cwpar)Ch?79s@*MSl8-Ac&Tb!zM~ zjC~FIQ`nq)01sJEtiW2-^PEkp2~wvo%tznC93?>BGL-G=1_)YXvQ*h$u_lC6dwAuE(>30xATLJQCUEe`lScVpy>gbKH z)oN`$c*!Xb2=F#F*!$%H%kFAMgEGR5z#6*f^wEp>yH~PyLT!S_Pe-PPS{LpQy-6g9 z5$Drm+HzZN$G+v>9mbvQzg{+M50V5EYCTpQ)atWBIXe+gY~vu^M~4Dlkm~ec9w3C` zujSNakTqwi1UBA4pYQYKllI_oa@cR4%lqjmN3`Q0j6vqPvnlgpcdh)X8|FfRc} zoKevIVrEd5_d)p`$xdP)UQH!`Ydy<1?`h1ON&Rf1vNIL-Vqya5b035V6=^CtL=Ni` zvL+8Fi|leL43imXMh{+oi3W_HrO zr58E>ozB~)>~dqzMRJ|AuborEGcfmefm$|ZKsqetB^*Se4=hhCDa!67f+YcN3$&^> zWeUOxl@_FL!Hbl%>J)z+3@R*&#`H;KeqWr1)VttsNkpY5!BVziRYKE3{+i^b@wEcK zwJZ)JHQ;8+b>E|+2@Vmt5Itis24P&jAzm>C1t|1cC4SSxj?%S8?$~j>de)pCdd+J~G27Os*>*iFz9tU`U$c?IOfE`7~*Lxh^#I6SjH~4g5A?Nw9Ve3*r#W?| zaln)2s@8GWS{cY2rtdLuVuyB;>SN?9BM!`QiKPEXe-8Gp_eW}paVIe#uU$`$pMa|ic}s(ESO@tkE^hOz==Ye; zQY?-2O?~l7AG^p+#2rfB)>YTeq|hY_uZg2k@4G>o&syI4Tlgednt^hpkK$Jp^z!w_ zo(It=&dAtwpB6Lcg9_3(q&wf?Ld~lL#<2o*_1#5oft%`xaed1D5X%&sm8<6(46Dr~JADhf2b}>~?P$ZF}*mod1{JSfU&@{aRROUDF z45RDLbw(|IAy!0GD6Nwv^zNCBnwW3?XeB?T zv4(F_xqd zBZar@q!XP-WDHsG(%wsLfrvj)9MGoX_`WwzIh=@xr;6HN2jqDR`8FP&>g%Y-`zU7G z^A}QnA6m2>+oZIr>C*kuZ75VbxsMc)ba0k?E5zKCu%4KGCEOu5Bh{iPMC#df#^l|h zH!8~c<;-EB18ERj4l|WX)lm*jOu%*jz1MWIh)+$-J>jL`iBABu76jt`T1gHv*BJu5 zG|#Z9U|54;E;ze%bD`MW+{%d5Z=oYpP3XuAMlP8s0Jea@2pTWi-2?i;!n2ZmWM92N z^tOyy@_olCFJgaTxh#$U7)iZ;y$)55X00=hT-qd@+2zl^_GXzdg^Ne4=$0e+&BBt4 zjgRO&8&+BPgrcBuejNcFg#=GzrZm!NvYl$mchQNONMbXCcaE$49T7F`K=R|C+(WFS z!wRk(K?ridHI+~QRuK;u;!(T%I?s?t9b9t?@mj1%0y!cJl?@SUlN4zl2g_raouOIZ zB@=(;MVl~9{E7b*UC{0k3>-wRtY}|-<%g*_G)Re|7#L3=VF&!uA*Vm>hK;azf zc$Ht;PHa74fATxkF7q!MR~#F!F++$x%w6v!D?5NBVDY145f~Ow(k~KxmHl3_su_f7$!V-y_bPtBS+HI?serIhqbH^u^m<|8`zj0+&;sLUP{R< zySTTZq4Z1WY|i#3zH&{IzLFM4a{tB{3+w8m2Q;ew+nZ%y$#VSPMHS?9PIJ{bJXDcu zFcd8{Z9%LZF}pMli5S>6OWlhsu+OH_wmL;%mQ-NmC}}@&>;LtZmX2ad`m8LsUl+5^ z!2uqo;uvY`nD#|L5bIhdDZ4#9z8`khKzTCr64$V9xjB|$P!^kQ0>d~!GXGo$(TT~j zRxQapMQe46Q$#CnwOvAxjLf6B=9InS?O8teO|x#ALGHR_lREV85%xR zQJJE+u(l?Lb~-PRx77P~Gt_!Fsh0AZaTd$q!z;|0^oGdd=bcWs%U@nkDG%L{gv#EH zSl1uyo&J-Ar1~YJDnX{Da&Oc1*Cq``0a1Zoi#%g|xa%9!4`7WDmN|;M;7ay?aP8@_ zE+o_IGkz}?kno#~dZ8-n40Fj#ib)~wY`pTgv^a-d#%EKL6*EO}o{ah@;UYIb4;K4y zEW9Yr7I|{Vx+VOKOvUqNs~r>W@LP+3e3Lg|L_kpm#vrc9*O&GDv`^%U;l}XW*kqFW zBujjVLy08y_*x?UttV4NDqM5CufffNrT*}2duo>(B};_6(;9|u(`Op=^sb3`F}{{d z+x`LOY)*^>pJqkFahiQZdq6T*o3{!1EQ7rJY09h|d23dB-K|DG5ru~Rzs4_DslOTD zwB0o}EbSTC%Wd88ovk*Ko;tD;%VRYZ}N| zs5;n&hS)qG6XelBWtF{}*)ABU<_+b!Q3m+4U#9qxIVFRYE`XAM)O~7&b*5G+2sJsN zV#qb3wmBz)5hHcu4VC$-w2&i4<1!d7#;$Vj+fjelL7BZmTA*Y7=Bm$>+i+whoxhP7p|v{g^BBS$BzuzMujZyJKC9z zT7NDo`%2*`UNO~)`1SD7h<0+{V7tqk`Dsej>JtT2&Ur;S;{CYAyy1;v9lv75EBV3i zri%gph47a87Jzd7xbYu$a$I)mitLEIhB14G|FB!MJA7DSRtPD zpp=B!Q`>0U1lHC)GE`%rdJk$!!p*DIun$=tuQU$Sz0Nmmwf5+ zUflfJ;^<^ku^WNw*yu2@Ww26Y_ZvZ1QM*@rT(Ee5FY-)szLxQpd1;MqO*C@CwcT53 zcKG0xdaNp7(esHn8jX$K#$#8O7YF>m^d=zj<({yCTN)Dg0d|fw{~RAkzRn78zq|)_ zs|46?7}h6C+xc|0dF~+SSi-a)@?bKg`xl2ZUI%EM{VD+;G@}_1irPc_Tub8HhCQRq zxy|tGTLhQIF{>2<>21!0n>}2@dU0iS>4*;UP7LG@wsvP=uj^yVlRR|iksE%a6gzv+ z{#(@M(JVUGn#D(`L?|SmYrwwBm2sxAYJvCX1EE`K<|CZy&@7Nm1e}+m!%9`Klc6P< zfXfBB(X?pxYyRS4?D zI+9C+RKzD{T@B+JkWme}-mR2(%{J3?J-kdW%9B4Dt5Fk58jeM78j0P13eTVCTPPhS3uKL^rk z7%oKtjef9;O~Sd@2q$xCp^pKFzz3A`=MiZ75tvG+)~09GEV?lK0uSPYB`bTW5-VXK z<>0@5L>Q|{RDMT)=cl#6r{9r2KJ$VPd3s)p_i~w)cEqc)2Y0wZdE6FHsC;7$mrA_$ zBqCh~w$!Q!(f8dW%($3_>;36%NAzihw4eyD-?WdsH?^TwTwfY=EdzfeCcm@UWT!a& zOUQ_|aq$umr)+sK=>-h1B_=J8_*<=$0a#~tILk4AZl5kv#NKdlobYk>xl@Qy&AVF2 z(r@K~Y(hwmXuDHWgggrm4Ud2MTK#y79sZ=(tR#LP4RR7RfZ^57RiCiD3O_*0Acw>j z3(aDllr$1Mc|Oa)PzEQ<4n>9*sg=JV`C0wt0>PW;s(;8|zCC(Ju?pIwUT!6!95q_- zbYby5iN-O9h*9hM~_lG@FT%tb7vsA7HJ}OgY5J&a!C2k8-muidMi}j z?Za`$<2>r5%vZA?vSdH;2oG{}{EN_w_EnX~bI|nlePsioc)BzGGJ_>^b?YqQa8vF+ ze!1$iteO=sf}0$tj&V)b+f6#NAi?pZ^xBPakgd3%#X0zO`MJjEjWN&h&Tn~>ulpji zRFfTf$8?TdYl!Ba{!7Az@M2xug@0@?uuag58ZsQ8#%9%ELc)KHo7h)AYYt?s)s}DF zNxi+0I|jt`&{( zYm1sk#QPSg#-oG|PIRj}XWt-ZE77be6>CUsg7C~@MbzaJls&<_U_j;n`JZj-6mw+8 zkpv8;>VI8It7=g8*n#5~QcoDLH@Ye5KOD}6rwExdlhRM91aMUb{LyhAC`RmG5BDNg zHW2o5S{9*y#@Y0z$Euz|s}h;;2V_c9;Ktd^G`ybeKi(Mx1)$t|s$PA+wN~H8g8kS6 z9yC+%rK#vLVEp8S?kx4IhUSOlGF66S*Oxylg&yCTAr(XA3&;ABQJ~89fFvO4{?D4X z9aznpcOap2d<2j{^ydacO8Qlv6aS2dC~(6kw`2PWwPmE_JA_ElbvVca44{ONm(O7>9e&hY+K_V|V|k@uxlrVo`s zr7+Nh{Be^L*d|P9r!e65Eihk}8LgDoeB!}^8N4A=??r1r&RL?qP3>Xxv)lZW07)f* z=`~>%9ywtalk?X_L8b<^7ATieybCa8hbK|R>|P-seDu-%dIJ`*DSd+|e)?w=DmMEv z1q0J|ll(y^aU>W&W=teB+3lYpUEvzhj*jB;kH)^2D zWB=#7q@j)ia(*ep#RdV-Y2$ajl!{g#@%{tCLF$LG6)yFu$W`DhJ>P#_y;z>p$N9Au zTL}>}c5pnORbF%S6nPEmO->$K6-~iqTJ}U%H`SI*%I`F1>BBR{LVyO#s9QXiXB5o+ zlTTRF@6%l#Vj)kzgb}tE@q+r0?H=UI%9gl{3!d5_*^%4gm=`bM^J7Tgr+;d7(L~`l z6-A<+!SN?w>Q=&%9rvVmo;oL`6bK3@OwEg|^}80~lsnP>QnbjfA$!W__D{+8svBwx zfaW6*$dShu-y3pl2&sNLuZriU;jA9vxNa!O=&if~)1F{nWuY>RNh>G0`fVsxy^LHo zJ4t{2in`Lzy8p})wZ4oSrg3+?#pg}4+4}+T8-xeH$dY>~tBq#8i0{o;tWUh&``EwC z=Mh2Hb=P3g@XT-2mMN%fO)OY@kzIQBTxm?#Fkvi=e>ulR{|a${P_!H^orl?OoQzaa zk?`C2Hg3{IsmLYUR#u#*)cbEJiwIsvLbt|#)%dW^uq<7*|0Q!GP}6r^e#0nq?_WOH zV>PdGPy`1g8E(lI2spVkjIjYvSwE4NW;{)=Sp@hRWjt>1UNWsVmZvC>uuUoHi#_wg zD;il=Ch#bkJ4!B+@`*v9kqNr2W%>@in7lSc_MRZJIK z&ZuY-Z&-v`g+yA%GqVHbyehSK_vfFUq(AQ*A|iHet*ZPCnJ0RI8k0rXv3VB5-}vNY zYx=pnnTcx&;$o~iCQI8*=K`7{1*8$i6US!f)LnWE*3dJ1>#nbhb!&-y*(&U_FPnbb zOgs^=jBx#Gh~lmUnZ_O%TYR(t0%*dLS{b;P9w=l5vWY zkZ6egQA0LGZjVXkxXf&U``d%gL5ZZ7I=vEx=)d2_8@P|h?scC}iRfJR;YSJA>kmAX zMPlbUgf|syb**CykdkL*D$bFC$WLGgar&#ip{gPfs{db$B!0@z+_yu+@sOuq)RZ8_ z85F%-x}@zFgZxcvvl1dQmQpqgt16YjDh0yi7YEbbtCzaLmy-BMqWT0Xv+F%e^~K)< zA}ze=2>a)+{*KpcO`Io7lnB9mJBBa%DoH$Z8%(!Cat_s>W*egPTvY|s{T8F1L^PNs z=Wx=ehsz&|90jz5D`jU*yOIa{?aVL~j$rB;{Im-xYH}*-%TflGjk&IW7u)R_FcNvpN6p|85RdrVw;oT^-qTVr7D8 zs~i51`X8mH_LvM?99fG12qr)(vT~ASxwD>}m0$0_ZfvU6@kjaVn)b9OgargI=TMOI zW*?Ve7eM3#;gaobP!S(lxIMFNkC!UbD4rN)T*|E;v$&T4s`OW7n4+@ZE8FWjAhS99_g)ZeDb54igup<+?3?;2E4bS%5=&E)jhdvp)*0a@rGrG z_*@&9PZkekQrcJrn0xb>lk&thh|qab`iHz;XXM6Q>71PYh**{!f2Dx*Yr$8hW)x4X zxb(@)Hz-}-oL@vEo}o5a+*ii^+AEBc)q0e z%k&~=N*d59@)G?)4j^90Mvrw95i0ec^h}a-B8qpx2o?RS3FoS2yLdw9w2UrW-)O4h z4!&kX~#HXip`M9ugy!sH3$LFa3>W@4t3 z`rS6+(68hAQB5m0J<}UUOq~R|T^mmeX+#$Hd+F_C7VpdzW;|uv{Xn?KKV(}Yb2V+D zzHNE#Ki^(-_98OLV;_b0`j=#B7QtZr2W@eg0!uNfrPTGEZNuuvI30bGg${!&SO0li zo!->Y>o}XXeJNoV$FLL068&kC3D{AUF=B*1b77B!CgJkiZO&NFgg2UA{y-GNr8PZ9aCVFO z{W0O@vO;Up^_EVTo&5LH!tljfhR$MLd>&^8?#gTaJ6gO_Vh_{jkJEmv-6QzKpEiaI zxtn5+3+MwADDGE^fjRfHOK$aU_C}%K>jqC$VvOU|i7}r; zdIj{kKy&y-&95JM$)YHlD3Swgg{pT#pAk$(u?jgyxTlK&fIbmnyn=?3;8QRt_E_e$ zr|~_;Y*MgGTDPe0K!s4UD}AoftRuH)*OrQ7G(NOde7iY?^`9vU`e_xR*1lY<@Tnzz7*d16v&s5^hKGR$R;gfHb=7iNSxD+c!H8 zy^QXf8WAS&D69Crm6TT+&(K~`XYn&Ofd9h?o27K;O~m{YGx>2rbhSg}3xLmNq?zOV zKMSBtlw$0Gt|fVVNoM05C<8@p@V$4mBJVb`Oz=9@6xjE92-?#AsG_rszz-@S#y*6(4N%+RVREVG!v~U{! z4mvSuG2e?M1kSjA1QH%w(YtjtwT@wx*j>R8)$dj}bkvfNE!fT*((9F0I`e5t`JaAWEh%h zQ=VAL?pZ`__>USI;u#5IrZU{1vlHMoD1BMzzxZfjkbjUFh$oZd9ptx2Z~m^&BK)}N zDcNxduKYYM=sz=r4`F(M`i>AW-jze$E)1UkwPA0i53eQI|71V+n2Ae*F`F}qq~Od> z1p1pkPNQrxcSV24j-dv&Q5nMMh|Q zqVL=XnwBp6->>Y@Km1>+O!~HzYYg5#35+!aGC=~h0Jy&tgpK%C#HFb|XnJ&&uZ06< z&|}RLL>l^X!A^i2$0@v4mM;W2%z+rM-Om#1k(QovNg(Lap}hn3>Pd7){tz~*P6$Ze zHbULzEem>n#o4nNTI=|#lh{UHU{8qa^fXg>FCoR*$45@eTBBA5?mfUf;w=6FGoVdp z>r(AMzjE8Me+x6JfALhyDbDSDFFn_hu|t0VSMpuLE>=pAz6PQur`7+Gpp{bn9t%wH zp>=^B(QKQ#r8{_9%r;*$1McD_Gw=Zomft+kQXp}l(JQns6(sSSSw*#*#TRwICamI4 z5=;GS!LnE>wHqB=IV5W6JMg1sGV7b#fpE%UjtgBd_p}DZ-mMrRsKI5y+_MJZO0MaK zH>>(`D>M7&!VE0@S#Fetz0rQ^nY?T_99DxoPi!Q zBAhLsEKyl7S%9-^IFU4(mS#vs0Jr*Sb`XqzclB3KdQ54_>e>w_MxqDcvdc^#oQIC*V`-ss~ae`<4?A4+o~bkdYu&=P00Sr{=R6_lLgw) z$h|CMpE{Kl{?(^j4bk&)2l;QrvS&xmM?A0DhO{x#6!B3iF*Uw~n==>LuK6V9ol=9O z_aZ^oHFhYQ3&6fZe0qiSF!MAkpSm&vBl?N$|A_kTc&gv`|DzHSD#|7*itN2BS=rfJ zgzUY?5k<0!taHqFMUuV8amdQfrehrI*vE>4x_Uiq1FXO zP6gNa>}G40{5TL{)5(Y5wZFs7*lGv+axQ0ZF<-~(o`Dn5&hR3!rmmMj*xGn1_ZtS7 z7QPXn3VaUX8%+xENhcJfa86nUTGj$;*V z>HRBs!MP^*t5=6n&X%m+&FZ5aAN^c5obrVNm;-$y*I*lKopsv`__(nG;eHXfJyWd{ zfj^!7tF$B4SIr#`oeu1Ih=I<3X9Feef1|r;q%`Ijk2jP50X02um<-tu{H^y3zzzIn zj<;SI%@vA)$4O`RBVNUWu+pE>H($KbfycJjNOBudm!EpS08rfU+pNkBsH^gm>zryQ z-+M7z>FD?FhvB&J)J8S|B&AOM@y7a;Aa~@l)9laAGB1j;d0~rZ_N7rpMq-(skku1a zi4}$8-SN$Qqm&gUSMDxpyOPiIaWb{W{hi~RZYhJqy%_%oD>@)-7 zcsP8PbF!Ji8@v&6%6)J^Y)-K&@7v0sdIj9X^a4Y#JuCU;=d#mJBa($~Q78%+X)A%X z3-lfxB0#C1-dJDW@(On~lNoq1z zAxqvEFqL%feVI<*zgAa=%h-|2H5m?spIoi~7KDu)8@XaCTEM=-@dqNY!OqFE8S zp#`HMm3DJ1{TAHO=!hNQ`n-tV?)a!R@zcm&zrT0FTaJ3Pd?vj}=jNc|PKK-c%9!1S zB>u}9>(cvV8f=LBS0$3?iS|NhO{_+Xn+AOaZ$1va)N*lDc4%)X4%Fk>$zRFyAEvN_@m_dbZJfijpE(0ouA>rQhxg-W6q`CmxxtIg#a(r2(78n?dR>Pp#=) z!?t?GXks`%}4xuP-5wPt6$YcSkSyMbbBm{&Chg z2f43!s@4v5`)_X|d{{m;*)v6kjBH(ZnnpIJRlchjYZNsc=`Y&-Vmj^dgC+avi#n63 zi`~C_k`tVX6#`=>K2VpbG^=D!|p5{KwpJ@!RxK#^igXpY)JnSc(nD@b*N0vCQ0+e z<6=e1sPkk0lH~$yMaPTF^73TkK{GPglx|!iJdsPDl8sDsE9lZfO3jz_qbK zih&dgc%*|P~S!5#pm3fT{M01)r6k4pjVFL)YE`Frd{*!=%)l+%XN^a7J@y1+OQZoyJY&R*@z! zt+9EVHNIz0S$i|uB6V$E_i(LxSl+j$D1d>07bxpu^$g6R|NXic*z)J(N)+rG&qb2M z^&)PF$G5F1mxop87jg)XHhu85bV>sq_zo{DO-+$g*b4+`JM7;>nKfl3vgCiseNG%a z?}nd56mUVpZHORGErAr2x&Gw)NVyO;?XToad{AZeLCN97Jh!lhRiV*L#D2QmB%(4^ zwM8BKnjgTv(I5IZUc=KG_j|SB&`9V+UiF`<1&G8IRLCTEz&?)l&*|TF^-=h>@yE+| zZ!=7A(GJUSvRZQv|BVh6QePUg&j=l&z*cCM<>*Y!wjZda_GzMHZZrz;#N4Fm)v(dN zcNide*fu7i@Rf2_J~fok)7?i%gZ~~L6E_sH?Ol0z&AcMeTlAxZyUg9qL;?7=!tTg- z!cd+ukr#~(E%KK}#s4WaE(1ORQ0z=C;9@sPJX{F32gv6k&Q7-gv-btN)KCr$+qiqc zJ0N}y$k9ZQcR&tB6Pjrc#V>=L7psAVo{XMKRa@fHU6QtdcUVFy8a$!R90i(`|(5Ut-!{>u5s?o<^x~v-6HAbk6a7#05`hoH?lD@40 z;|?kubEkC7`LdF;C-$!im${;nXq0zNZf2uZcVm8wt7%?^viH4jzdY_B^WlLp3GIPD zGAQUIdQy9B+%dVvIDIXHXL!WuuHorZ*tE4Gz1dNvvjwdqIW_?ut^K7q;j3%%YkZrE zjbg+uoBb0Pl&#Et2NB!HTeN0O5xoqcjgT@aYOUtTNCkbb7qJ8*YN_8*SA3K zR3Af5KTBTY;yV2w6;_D<-*UhQ)skX`2IGqXj;{uDTn*W@^{Z$aXM3Wj@{tPFTwN@w zu}AH_qwh;EzHG0#XZPo<>0^Hvq(*?810bqYL7q4vxG@V)_G`^iPhTm zCO97`2}#mCoeCL{l`8rJ3i|Gy;+_rUi<`CRP z5BSK5>M5f-OCgIqLOH*axxmA3-jF%^t*qm5&EpeH0(Hm{qT%cU#hYCW}olj6mKnsCZ4i&z$aO zo~Q!nQi#aAlQ*uGI)gMjqrF@GB4rO-?20GX;oGz$H!fXNdw4DO1m_;~GxFE?mk3RP z5W{^$rsbYs4*bjfKrX{;)}U&7%udrvd9>SP75yy+FWEX%s)e++xpS8=Qz$azENkCA zjG+4w%nKl@g==&%V^k$3R}FoQ=((lR2C8+XeBYIO7~DPmG*h@6VVF>G*u1gAp%Vsy z{mvv-Ta=ME@XC52{b3h9Gvjd-uQi6_ehvG4(0SGWh#4sN z@iQsG`vz}GU;!aTPpIOF&HdT)L1fHB_v)&K&KnQU`O!<{1Iix06FK$k;_`0xl;C#H`ofi$Woqe+)UBk?FY-r3{Tht%uk7;)MD@h!nTM1J zu=U^J%fEtXErKoQ7nacNzoFfce&s|V({C~WHupo#WUiD z?2!scJp{QmSjPcYCq*fIyM{}k_AI#Zd%UP~EnwZEY)&g=eZ2M8sLWx+VhH#~E#y8% z^&_tq9WVEu2V)cUDS+`=GAptHF#umZ+TNTIjNY$6!GvN?uTpaYaWaBtTIRIIhq5!w zS^FmK;U>d`lapPVeZ7(2j9`3gn0N$sEUzyvkyqdTfKX}vmxnnywVVIFx{{{ny4eAS zhb^TL0lkp4_Gc^|#7yhoQ^+cp+18!XWrm?E*LB0#Mz0NJRs367iInDy_YlePrR?rf@+<*b@3;=T1(e2o2XG-M()j9m*y9(!+$smtzEY+gDcm$#9Qu&K1IL%ZDH19i0 zd(%V+WS=_K0+X#7sD>V_iP21(cT@;h zE(u9^Ki+U@R$QV}vVP5w@W0 zu79qd0Je#clJTXXPrzdp6CD8A3p}Lf|7uUtVh%%=&7XixWsCas@%I%}iLAm8?-@Uw z+(Yj$wtC%`@G5aom8)74DKa6zkR7|!jeWb=iMvD zY`ny)v%PJM917+1*Y&Np2(-;tadu9GxmEi8y-pBsZJub#$h5w8P;b<964!Qu6CM)! z+U;_QwO85G5cfwVCD0&wld)*nCrISi}CXqCry7XIabuGqirqmRv+TR+}#!!R7p zP@A1$w-fjjZhqPN5z93{i9eM&I{SLC&@heaV=vRVQ+{>|x3nQx?%Rh&Xn#|syKCQ9 z^L0XX%3^%$YkmMw9~GYOxuN=4QUsgN&m;0ZKVXzao6%%fMD~E@{M(U~G-kLzaX-rf z7uB53`Rs$@zqo44X7+B)*&5aGjHGq!XPI;c2XJn+dX*XH z^|!(KhE5eByzWKU#Tt*)^uAwpF1cW$@U+()gC@c53nn4YExeeKd- zH}CBnwU?lp0fO{Bb$VxGN$SzjhYgELOasI^VVK4Xc@GDIB0f}W?`=&ToL<5Ql56PjQWWpr7ybw7EfQD$CaU$y#KAphDUGx$V2cqcc8Udu=Uf7nn=vzU&Md!c=iIK1wx?RX*kp4Y~; z&y;-%LM*ds+TSUwgw@^0nQmqE-Kfa<@AfUp0_5}fGc>I)u?6+`4ic_)0fK?nrhuCO3w=vC&+T~1r~v0*~Pk6-UTuW zYtKu#du8fMltsc`Y3%0mec?+$A5@~N98@d>tL0UB`4kF)1z(&VDqz;+NR(z z59To{0AtxrZ%j0;1=E=I%OF?U3>*`FyK{PM%_yB?u4(IvYoHTY;lo?&SG&SfjdcHL zJt;%#d_J`*5Ki8L#g0xC*0{gF8C}K>4?C_ER_idGDR7=W>3@aP#$%@}b?H|RxB`}` zVY{S?IHMdvu&*m>j-JJ)jIQ}2iV`WvfOn%5Qe#@UG+FF8zc}!nX zUS1;QPd!H!muG#j>}r7~wd$i{j@T3<_?Sd@UDc^}+MpPZcSYSX%*`|*;bvZJ&jl0N zg;Ss8clw<&wo`R;1eyD{J`?^qV?i4EIoIlwU}ezkmXa-(uI)Qhh4uf$a3GN%2G^&o z{6B%^QDyT~>d<)W1kqSD0@j$8qNW|HK{c6)-u}j-J1|k`4G^Ctc1)d?x5C&@{O(4w z)GOB;Eh&hdiODHDx*s=?j8ziv+sdOjr;>S~0Dv)>yU#Q&T{ zy(`O@#kW*S$>GhW zR8vj-AK+^w@{JM=kx*Re^G=?j=ak}593{J9a!-)H_uR3oLBO}g(dNkzQbTs04s!pB4{BRxqJL) z+l(?2kt6{4c_MlRxit}LYT`?e5R+dqfSF+|zugs@ zptK_G;jQk*jTL4H-(&0O!2btCDqajU&sl}hx>~}YdDhX2`2Q7{oQ%6r4jrky{$oY_ z-Pb&fn|+t?sd^2Q{vFBU-WO6$e6Ct0+28F4wIud}1w;&UdQ7dPD4*<(Ql>1|Kb(c# zq#Qqa>C-5#)(}`CxpMI#-DT{TCSM04vI00?&Ns3k))x+Ji^DJ>L?s>Zb#{*_g$=0L zD7f8}iW1fKI-d=hRl4FXL?ZE!x#=GmNR2uI0MXgm+4zWl z6-7qWY?;+S>U!UDsm!N`+xC}nTAFW9#=7`r5JqajOIZs9{aYOZ537W2)t{S)OH=<= z_=s|vn|c_}2d#NMBTyeQ^77g-@KoG{?uTy9^>yq)pDk$&Af+hjex#r4f%JD8f*Iuw zZdwCB9g?#aqrRUs*$N4=QtA5p0rLSu>IOnAZ2!&Jjw!N1JWR=X?{5DQ{EEnPB;@~b zgLN|rY+!UJ?2*+ype{qhJX$TXRhq-tMTYDS`PH)SLreC*Gd;d%aM{R>Bpj1z4e=oD zqIXNK^YxmMy%YnX?X9cx|M>S}GJD{xe$n(l89u0O4ga0mfo9ykJIB|wCamG8I+kvN zZtv8fK}HO=(@^4i7Irq%3qNTVfWY0y4FcGW9%gEe;xE6*Y0~7BDBm=i6S#$MG?7dH zX$`YQrK`5ccikvz7Y=0KKI!dWdHQj3`=p(J@&~+^;=p^E& zm_CYe0e%QD+HMu|yPpZLO1Bg!!FO=D6(Q=nPbZ{++J#NWZ_EZqfw?lgX5jGUTwrzJ z`?I67dxI#Aj|vWm%5UD0D&zDN_pd-6DZ1UeNNgr7JF#7)7xy5KO`iTuSV z2+G6yS`eCcodSuVI(-UNw<98E%C$8FO9zz8)s`ye*FHU5_9GA)1j!aP9VYAz!_nC@ zr_7nxYzTTD$Hq}#%<6s3H}27(I(=#BToNMK#W@}-iLPu172j(uzqAQ&Kd`}*-e5o6 z$Ul$&D&>99-hfBOT>8?M7%Jaa1iliChJLn`x$m3t0&aurP&H_#eVjEl9$gwUtp#`r zVVG>qQoM=DnP!#sW4K3dJ(BUnkoW;0JCGrV$OwtN*BGzt6^6%~ufOPVgxF6$PuC5l zB83bCRl*6H&SJ$_CC|fP@c4<-tQBRmO9;P>2gFieUf!%HVtWk^jaSMQU0se1)fW2Aljp_% zArg+X~>ODxhluk6R&?DGiq%H;CsTzt(i~n zdw&1YO*ZOiEVMtrOdC>ja6f_I%Ek1l>3P@Cx^rJT2JhQVVdrOO(p=kx_vQ;xq<_ak za`}n1<~FfPca^7kESKivhIvBxDn12IMx|NK0;TfiV=>1u{Jq9`izd65$Acx+=G!pB z1&1!$IT}l3h{#%VK&90cmkRuQqf*9?r>;sR!pZRM1wGmupE`__F^sWYagJdzSejY7 z#`8DFu8G`;0(CDxb&-NU5g0lttmtC>zghiJa=}xe&I?NYI=gf1TaQV^95U7*g9xi4 zA6{m8N(jGj(7=u6)Sls2MpsWtjMRWTf~;944X=Q--WSE#W}VifBT-M|$0g~}XgR&w z8kphywiSG5BALBCRhC)FQ!+Bx3{{cc^`9|Nb9!4~1an@LoNYn(h_Ro6>mQFku=r;f)WnZ3} z6e99{`$5+e4^hyAZbt{#xyB1lp93~DEB6b~-P606nYD=088kW!1 z6w?Y930Ow6yqMt-@xoSNkD0^o*^pAPq1J!ye2_LM_@3C!*TF?CiLpn5@*r(%U6OZv25IL7^u-Nw0NxNPn;^Qsz@9S^T`T)R3r{aC6VmN6P(B_WUxG!Y(i zYQW4^w%pU=y=mX5JL^5{6WZ<ajMCMzJD!Ug`LXn;SQ`>tJ&7 zi}%;d35^*a&?7-w5in61W!dyBnY!AnuQ;9$xRw1W23xWOSYJ;KNS-B$AxE4lKcY)kz>aLkTC9{{)Cn?Rp02LV<>uN? z2|R+qiCw3U7y9zNA7qcHIeoD!VYK3Pc}{_)LgD%omts9fLFUIn-ECG-We_N<3@Vio zPOJqIT*poP+$Alw)%Atfc~L-D=+{*b@1rtYp}!e(b7r>-Q@Qao9)~-|3r-*YI>%+! z@b*c*I(PxYjX6L&Em?d`daMEr4O5LoFvFDo{2BI{-1!=sxPrQqObcCu{~Z7V%Fa8& zJYva>`+T{<4h9r7BdlpA)bHjtt)D2y_{K%9wJ_n=dUWX$l{n(jH|lFNe0BYD>D}|x zxvP@RXV;js<&oN~S5G~kVIr}j${`81{$58ufZdjNQ8d)TH3NEcC4LX+Z z-GWnXxcoBz4m76fpuH6PGK0Evm1C~lwKCO)CS3H~l65w7ta828|76A>;VZ`=V+O?X z1tHvGyQ*b`ftCV-^_d9|k0$$T+%!-QYSAf#CPk4Xi{?I-p0FKI++mb_;hzNdB#*3! z6rsDGAtw9+Y4LC10BhA`xtwWnqcA1dJHtaRa*Gf)uWu_^_;UK-jg87_dUydEMvkTx#D z!ou}qv#&Vn!`?L3MJEt4NIc(pqk&GP6q^H(4s%qT0Do?sc^car8jfeY2Ri1G8^gsXuNqi|qp= z-UYqrf{}BI@&Y;IdxlwfRn<8($jmZ~EcWX6bTb%xl`~*9<-%#R$=w=xTkVjv5(W(? z&MLd(4W6v^t3E3f;0z3Y*%a98WiYGbsc;!6GV(c8W|VdUTU$n(w*3p{D7W|}uMSXi z<_!N^D5)$&d+NXfJS3vl6`+Yi>QeL3WIL{FY4(|R_)u-hs3}`%xb4_Y|ZD)#>wEw z1&wijv8wLAIb_-Zqcv{GDEWHJ#D151lok8dj*!-O=>*kTr8L>|_(ZEr3#xr7x%mDt zFlRn)XrxO_pmFarU{!tcKO!86uT(Sf*SWpbN_gZnC9x`oB$W{w|Wf#3|JenN>+AEhYEz8}OEyB`VYyLUK zzXkC0M`_AUa|vg8uM=sOi50jR%_H+vM6YQ{h2fu<*2%B)aJqEcZuqo37U~V8rFGSC zqqcUd2dd+aj}b<>f1Q;qG21hMP(yM?;AL2RZq>u1RjRufO!Y-xH!gPV@^k1|o7894 z@4^TNvd|#ySs;P$@~iZZ)wJ5sf>zHz_vel&aFK8!CdlN( zvS8Wo?P##MvCdnvDo~p(A?xzlE$-u*`(wXYVbvtuDTxJ1tpqF*tTwk@qeSd}S%OWd*A%m^j_YPBedId$EE$pF74?AG01! z$!(}cW0XZ}Fa07Tc-^DC?bFMsKptjo0<*e-M@Ht`iMe*et7puo!Uf}-4!4ahe@vcM zot2$C?n{*$3PO2eLxV(cyKGS(OjNyi!X7U5M?XzE#NWSe%K3)C6CHC!IqQ6bYc{l7 z?Nn0*kgyRw_8m`0TS>*|OI;03v`H#VLfK7s3MLy`?~;yuNZ_nfD*pgT4NE%$>|WyD zv`-$M(=PL*?xAbiy$%Gcp5E%Xh5A&a_ufc$DV6N;#7$y67vw~o@jnPxSuRdpMLp(v%h~VoyW(= z+%KU#{TLxNzV0~^m00}UQ`G;v4gf5}D*nFjy%3rC^j?y#$eWFz(IZXF4{!AT_6Vg^ zUU~T-%arf<$=#>pHvn|U820jq_>? z53-FwzrXF;l07qZHw7Um)rgvX3Exer&&-p^*DF&R?EM!r+#{4E$!#(X0glA(GF?5d zGWQ_M3hpC)o4dyv>(}M{6brq=ZXo{mR=8qeK0FO$*YLUJMFftP+a+~QyQEBkVq3(4 z9Ub;xgy#2%Ug#MsMD&&_=f~&`{*PgtcT~9TO~|7dS-NCDeqBShzPq7YdS_`%FEspzYzRy zu_2NOWjqsU>z?dzTn-OOm>?o6v@JV>NXk{d(NapN5knSK)mx=oGGG3Y^^13FYGvF| zvy38#n~l@j_sBrnr$FX3Cm{IvPZeT6d%`zlp6!@ko4=v2;)?j;{oGhthnZAczy1en zT{<|0EQ%VgHyckPb1Ij4>Ouxorx!CHFDEiv-WnL&82>T5+t*|SYuwDY#N#|>`XS`4 zkB=434Y%xOe3BZL#)`(b46aMtj~2WNc5o4L8s7@I%Oh^oD!ECz9f|m6cKxdB2NB+e z;MuQ6QC|uFD#$fPbSFg2!JaX>0kPHpiMlZD{3<#Jvyor|CbY_s@LTVScV%6D;M}KR zj~4;!|6GP1S&Ra^tq-vvC6()bJcaxZwB*l`da2!*Rf^}sAsEP5JjUsnqfOk*GF*uH zze(9kr1Ny{Ms~g>CJ3*0rwcb@7q=wyp`J~5P!lI$XLT=aJZB=?A0VeL1n)K=c%GK5E+TWGUiG8JFLsI z@dH%@8{-sPGxwfjd%;y-^x|klyWVoajrzGx8O@3BM%1!19g=SkcN;#%^M7nE*0HEU zY+UT$^V^w2$~VSP?2X9IxUGwID8=(9FHGC+ERpD&Qa2)K|JnLmg?O&j2IpE4`CsIa z_Pf*ojRedLaSNQnS43`fw6UD zYzot$-RF3Eq5%)BI+O6mS$t|!FEi3s{0X-({gz*ME~8Fq0vLeXF9h6=H$#$2NxwG7mX!+kYUg4xb5UP9@{rnt|prohs;dphEE*NM!9+@O^xgOMSbJv(x%izgwXU$A8p5?w-tt$ZV5KEnD08hl6g~8xbtLvy(Zu;d* z5KK~72G6d`s*mZ35g}Vf%?E zIbfq_Ix*`vAr4RmvY|iGCJjc%SGAX$n0nt>QlU`ys?g2pZe#}1Ddig_{YmlAbCV~H zK4+D98mKgqXbYef{{%CGgm>?)`}rg!;q_nUy!xQxqr`neOL+E>NpPp3&)*vVAmR*& zzL)K@wylQx`D;8ftc1*aI%I^Wq|JIl!S$95{&Y6jTvRahYp5qD2efNO5FnBSU%2+A zu0JmycW2ybkpC8JC?K+ES;E-UWKVYhJBIWax>N+Aj1LPwKSpTryvKo5A1|bfpLKkt zEt6s&7<`Ss(iXP8xpMavyt`w0z6K-!%NvH3|IYn48Mjao-F4pH-mH-9`JJ`y{>O9w zv)O0-KEw125A8pIXg1b4bk>Z(23u+{KFyKj$mCzdvZWGGxiiilN}#TOobvm$U%~YK77G*f z((!@Ir9tO!?tW{c9Q~1`HwJ2=#kL$k>Ms~pL&SbG+>uRCEw(-(DMiYprW|1!*At-a zx{0&uP0J`3?aoo-UXs-CBUD}MZP@S`F!08WuWeWJ-Kp&Z?E{MKcVuNU?7j72ur)YG zXV-!W!GmaHdT$d!vNony)|VoBMYCilqdtgOsox#@{2w2y&>MW?YW=<$Yoh#tT{h5S zv#U?8iO+`Zg8j;@m4KL(m3J`VZE=rJVCixWM!{*yyIC=KwNQq#Zc6w>ar+Ihw8b%~dfHvC%$|0mcY?I_ zaxe1PuE+%Wo;v4Na}GhXDD$HS4Lz@_GUw!j_qS;4i=R^Y>eU%M>zw*81mX4~QR?^M z{Cly+x&RBZ}p4iY!m?+g59Z4!Kl6A+1p&=+o6DKrLS4|KyB`0j!W zl_Ryw;>bLa()(V$kStPOaqYe~jZaGUckYkdu|*`xDLL1se4DfWU4ALV$W2w_;XT^w zSuuOy`6khw+itLtbrI(u3$!Se@C~tAmKf>nxTX5^qpIS6tQ%tVssauY;tt1F9D|wP zT@jP$%Il-A!uT5omfGGnh2EmTQ8u3$8V)h@SS{+qMAg>10fJ}O0>}BcFD=)I{(zikR znbOZL_i9Qz3>@=kMYmX@wKh|d;!KwNoe_%TG zeC_1J6+|?t?WrdE9vx_EQ0iLGsna}0u0uLk0;nK^=yc*nt-77J)y@=Q=_{UDd!Ws0 zHRGOs1G`&uV}MX~wbaJ{BG4QeC;6R5`AjguuBA(Rq!+JMD=z{VAC-5_K4+D&M+H*9)}-yF?>)6xO_UIAqcrHYITz(832> z-EAnjZ}rA)(6Tp&bUyKgKgIl@VN98~(pQl-L`3Pb*961a?8=^p_;nEwFpEI%d(wTg zeKFeqssdRp>UPavEF_=4aXI{>)booiu5OZ>`8l%9(thaksm9u6V*@3UT>J5}bE|>C zRa3S$%}aEyT>+}TF7@xe72gI!VWwRoazd8&aH+mi(dv)FI&banZ{Xa`hWY3(;+g`#}!hwF6Z$I+-XaO{67pc z41oksm%(@EPes_4_XI{Eg<5(xQTa1QiWF~D9Wv|nZAXHizjy?9w!Oc_j_nzqg6dxj zpj|$j<{uVt0>FmL)|s%(9Y~8%cdvh2adQrFkm3HW;;W4i+Y>bfmck$rtlV!uueV;` zwrU#%E=v3`F`n0`g>jC+?-}xwdxqqs-s4c$LyG(oDPcYMR*8lM2>aH6f zv_yd~F^SpXWxw`|v3RgHJNeBJ$@ygRWi+j~#D8EZZie^O?) z&ntlS7I>E^^S|vfBqZKt1oMad3m+N8tz_Eh3S?E{kWGr-tYXDEa9Ni~1GavLR%$#m zt8smU`lv_UFMavaihA}F?pPm8!%YT33x~bDFx{G#6+biPmGM$t z#X(CDJS{IjzWP+;0zAA&5<56IPL&+nqbP7Y1jz zTqf!fd$44&~9 z@sQ1u90)iioG>KV=buw`JH&fJLyy}TCI4cB+%CPD?mb@i$>(7crr+m!!NbgBe))mT+XetuN6*G9L)4bCKUSBbT~=+!AO%~!2 z9u*cm;`P_Q&kIk4*vZ0Bxj_#L_4GLQ#Fqnld>cJTiVG3T@iTmfM@~1F?pkJ}W}`$r zIE+63x8NMoRZR?_LLdXlF1wB~1=Fizz%A;*v$X;7h=+xhALxe4v#kFJwB*(T4=FQ- zRi=jAIeE3@T3aP2@iWC;iaMs=zFUo7ef4VM!07=Uy&cNiS7Z6uhKVTSW4YYxb`c@e zZg;|qnp`)1x7AC%&twJVIXa<=OHui0LG|!M)RVLP#~Jl89E!qNc9`(0v_~)CIdU>2@PYzI{ zps8jG6HWh(W$5&uGRp04M!BMjH&(1|A_D?BlGA43`&w4s#s3^c;UZTz2?wPzB9Imh zRBHhwTrVrAwO^?@c(AkpKo%hmtMzlT+xFtr#+6HV6PxcreK7MF3cdGWxI(7iaKE`0 zFz?+Y5qFx-?6B_|QLYj_sOTX&;LCP_!R{zj%D)hu zdG)UOPt!Fx=?_;{3e3H0NO}vh4!qr}_j(?GGjCXa5`g9Kn2jkZ+YsO_k)%mP>GjL3 zRs@p!eU|o-Lj;hyCI`2<-UbGMg#tGvj`b1$drGVUh;A&`$dzfYdt__`G@zKr%!sow zPUw`6P>VRE*&&r5+{i?LuMsZ8EPt1M(`j|ZkipO^AZ+$fV_WW`PD$`#zZ{?T_t{eE zmjNF*$nb}w*Si#C>+74XX%k=--2x9+C~I)?wDWYAKU=*&eyG85O<>CHNt4H>%cZxn z(B~oMDe_{q-m#puD)PNK)$pK9Iht13vpjto%@D8U617g zJ8YLuBOW(I$3;%poIR3L)0PVU8)v8BJp9?DV9I&jV0nD2CW7j^yBFA~Z@ABFMca8N zbr)B5p2CyjIOw&Tn#|2nm2-N3S(;qCEdu>!itSUluprtKa-;efaVlr$hCUZ{BnK;Qu^I zR;(SPpN>KvibH31jO04aB@VOjp-0VZ#<7+LG*W|V(SCwlM~Chewk;=u#}VR$J;`6u z|G|81Hr0%PMD@lLvTfs~o$E2)I65tljvy*vfSGCdY3JG@2`~6v5(qZmL`c)%^_0UuIz&--6v+i>4`R-3x zyk=O6I<8`hd_7T5MHIAQXvAxQdHI^H+qOlkrdxC7=W|jttz8WpbHB%Lxh(GFStzhK zH!}o&;ANl3IGuSXzT?K6QaSAD+KYLF47;K<+xE@p7(@j-0+e6t>B+Wn2QL#QD?gWx znlNu8U-veeiImPgULFp6mX)zlJ(eOI{l9){j-J~D;YtgqhI|spXY;u^A^#LB712gX z1yGs31B|~4iJP0u`wVZfB3MBkN_=kXWFzS_yJ2h67P7uHf~MQ$#}s7^R%g+drKut} z=#pYtU?v zxdgs9W#|Z1M2U)dsh38lNYbo4$uGH2M<=%!iMvtXmMdjlE&o;0Gb~hi2kbzOokiV8 z6=VOCLRIF|uClNr9V9|k-j+T*HaCO-soyOb2wv@JmJhp^E)aUY(XZm7y_` zf0A_B3E3#+ib6F-CgnNVQ0_^U1%(i(BwgJCC`dv5^7q?;CL&$}kUAdG0}3HJFTt|i z;xDKxb~_?Lvq76=`nTVw!$IS#-urDS6eEy!%3fY%JJy^OHRcqN7A;>mI6U+Vgrw+C zn$5!e<;)B1KeZj~xAd4u;adFJsWBXr0Guu*!M$=t-1S##wtj4LfPlw6?piIqC``^b zDHN@cM0T z>+9N#up^%YkC}{fce&Tx2cO1%%=q+w*d0lXXmJb6Hgi`%l2B{%`8^lcia*E8z7kF< zSQ63sip7PeYf_u% zb1hSsS5_QGQ^mVPYOnbAWV{?d^rPNTxQD8h94skMzy*-jetFNk-(p`qtOjUZN^D`VE7pZ7>08oO(h2Y;JiK|H)sB#CZb z{h?124ZuUv2GsSGE#|F9q#G-6S@k8C-4d(4w9RDuJKwawW}f_*B9~XfNxe)MP`;MP z_FM!go21_%DhQxue&9^pyd}RB4BTzYmN0B4^TBX@E0@3HB_Efi|F+84D{A0ae4Y2$ zDEoepR(KZaUfo`%Sk|Kznz9Yrtt$9R^8c}PG zYiuhHL{HE>%)N!N zf~u{nE1oGo$#ylrkLn)&HeHRFQ$MIpf(?92h47ITA%;9pVPb{TbA`4hqVe9m@!7yYVyu zg;A{iNA_r!Ea!7ki&kLLY&aP^4Okz%S!D&I!ALk1HQY&u_B7Yb9J5WE6lOW*@~=*g z-smTp-yL6CnKs&N#B3)mI;0;-u|3qRx3%maT@%6g5}~fG?B_`$>ZCLkJFg@vka;&D zS~TlLYa;iZCAY*Z=S5{Z}o=AtTr&6oL*06Hl?QiIzw=>U>^P0$oKeAJ+eEhGc&wqgf zVrqy+nN6S1nle2}I(&z@iRAzTUk==Z8-+VeO3}3)PO)JBU=1*S>hrFba@P!aL zWM_5etcQXI4yhK*Os8|vg5?I^+-1oN&;SOx-fIioUa5Pv$%j&V9D337jp(3I?a)vN zREI^Zk^QIbKlw!L_7SD!Wo_RPx&YtpsDRL&^S5LK_7vf-GZ?TzOv@F#7<$=kks2#dn2%{1#o|?@H1l?Ut`ScXZc|MxR&n;^~Jz!RbL3 zPGep#_Tz$S2+6MwKTkXZF3~U|Ae&TrZ_IHZN(Y<^Oyzk$aK0v1sYAN*e7tXb-dWyD z^zp`JS8u<0GTvIwjR&or@M!+E(3QKUo$8kRJCp-*cB*ri-u318bs@zSoRdXBkh4k3 zsAHxVw^U$pab-R@e*K%kJ@o*6uNadC-Tb=f&xRP0%L<~o!op6tLByCfADd*dJtfVl zmr+)ajK)pIlq!D;|G_|}w0-aax@;_#rqz>|E`E~>4NzEj#<8hXE_dQl8~hz834 za(We`Vt*rceXbt|Gi|eP9ns!SZM&#Q8AktdW?nkEtpiK?dQ=s_C4pC-LhkDH9xsvc zj1Dyo%w0&aDwSu3Icic5PH~2UT7>@^0@Fp}Cz9tSOhrfSnk$ zTdn;I93oFr*W^7Owo%k`hYJ!-_m|c#a$3-DZoLzNt3);CT~^?EsZ^mQYUi9|shr|< zyeH;Hto3nsB~G{Q{5UGTeXiWE>44cz1^vJ9DK~zei`N`P9B6}EtRqduA-tvxafyq3 z2%jFt-j+gqpd%d#{$m{i`{%jD=zl#vJxzzK%CJVjP)7tHl}NFwWQl!&!<^3j8gzFP zHu;6}ula{JHZ*q?VVwT$MS^F*xFUjv$1H5h;!0gd<0)0t`F;^?(n`f-xL9JGfsSfLj*^l5T)^^quvVn!wE^+s@Td9c{`!`e` zUy`0k!I4oqwy0Ebj>{kOht1jJ?wJn>3SxgD`KG!J=0+n1dMmB53UaL~-R%s8=R?;& z&X00^69n!#NOLPsN=N<3rocNy`)dvmZ+0EW@+e zi?tQi;M^x&6|-_l!1goIH3*ek4-@|Bd;hI};&PTSb7w~;UwX>{vUyQZzv%S4xVq;4 z;!1%y|HV3?RsS8Al2pbtmvD<~eQJ-TUYr#EzWb)OzbE0GU^Hs2Q3-eH#;6dN^p)nA z@jb>}na}?)YLk4FgXO-|T_6hbSV{FNXnFxUMyj#%^Y#bU`<5AwUwy6qPds3+#TqB6 zmSBANHC1BI;EQvR%g968Ge9@6%1606AEp>!n&C&eiXf(bswffWk18^^5O2&y zB-@)rUD03CQe4Z($VlP-xh~1xd|PZNIUMZNGM4(f6OJiQ*k@CadX9)%Z&)5d@bD)- z(W-nE=07kcXO-h4z$@5~jkDHRCU8+&9XoMF{}RX`P_=~hyyd@#^beq2oTUO~*M4`j zDhh#$yssAqOpLSrUT+Gj(a{S)hA!pi$AW>*h57s5XRN+n5->Utj-5^opLS9)$JK>k z@2_Rdj45WgK)sYxAvR#+&E@FL{*+xAe!mWc?AQt$<4Hv8ftC!*74L7Nc8t7d#}%Np7*VB`_-Wz9XwB;w!l5T*@6kn1+6UbbmT>71G1#95n0hhBqW_Dzw#MZpOk1o)CoPZbpvGko^}Z?P|RYdX29+<8B0 zCm=bz!NU7~HSoZ6TYAW@nIIRB>u*Fu%f-bYvL865IC2i0(r7xjBRu*1U&|en;^H); z!OMz$_fNr%)08%*zARnEcy}1&efmbDMQrrJtt>?n?VlFU>{3EFT&yKpS_8 z#y}hH$NQvSZ@ zF)PlsvROBBljZb|9|gqK9=8pihOe-ZeYDc$eIJeELEu?Qjy{d&}-QD|B2)|sTT^}!qN~fN4*^!BmN%#ki`o%VKZ9M^K zG=1%{=lQ0KB8xe-sZTS9b}mlaDiS{Z#qm*^%P13%|LhqqTF;5)yU9CnfOlS`+_H{Z(s);zka?*Fwz3 z8zUDf;yB2a^P=;c|E%+dP_y;Cyp9df%V3@v#M#Wt4ia%SlIqy&YB>Cx#B~N9if1+I zW|)`gBv!X@chD@J7Nb!e=R~9Fr(&W~c(dMpVZHHOQ8dtbZ`uAjAt(XQcUl;oSE6ZC z^qj@Z@-z|dZ=%B-ylQZA0Kp$?@4MI_l$t!`id*nrY4e6Cs8ZDQ~LV=1#D{xjTSE4`N$#flTdrvx- z7I>+X#xC7iG5AcMj4f-FOkZCQHdBrLvBgDO2H5EUw8%ZK(8Ofc*3P;t<@z_TJ9Tz6 z^6oFAZNbt<*)H3e^rjh@zS*e8H1p{*-2r;zbnhq(UZw}7w>-HFa{ch38XcMwo3xER zAYp-5NwPisfs0A4ly33JNy8pASL~oAuE^{6;qpm*dTPHonyrc?^Ghg6Wz+;YH7J6zZY7l{nO)=y)Gr^IG{w@P#}X zFT3=l(YStk!~(5kM~64Zxs#-_LygPp-zbFKE@@i2^% ze+JD$fZf|~o#II|A3T~HvwZV*F!0rD16jae~oZXOkha=mRx)|F<#w!Qb(@G7V|2ie>>K?x{vF z@at%AUvM7F%^iECbzQ6Z?^Qc*!u-5oZ@O4&r^Xjn;0$>9viA-h^*bP}Q*@f{vufte zT?O7n@7m8QI5&twC%_Ldy@Si=y5BHJIKWqNg}z@N%XcwVFNV!&1lo)n=_Ie#s9R-hPaqU?G|0wd%5$ihtu) z4@M|^M}QSUXV?LBf4m`hk`hC);Qp|n_CbZi`H7-NI%tEr*Kp1B$$uE!$}6j1vgLvB zi(-d%TIW)n8|7*Cmys!^Bd{i4g30D>c6LFhv2i9_vXh@fF5kT?Hv&$M_xEM8ZnX&# zWk32SI-NS7;(&0I5XQLig~;W*Lj270h1usHuTNOZPxPuoLsj;7DZtFX%BbcGpbd#C zEvqR%!=kICr9Q<*c!xgMJGEZDe4trNt!x+D8guj9R)pv7^yJ6E8>cQEh-Uf9{Bm1O zb)V5o$Sd-nv;^{(!mU@sj8c9OtV;g+)2Qw8lc{$T*YP0eB;ylZaw51het}dajGWt@X?6? z5?WGnHIMvVu-HJ&8TD*)^kRl0SFB@V`85|!u>|Xnj({^iH@%Y5eBXBI8(WY)6Ku>oBN#KdG*M{WVALJwaFx zP8~2Dc{QDW^yZ%}HWxhf(ldNk^PJ=l4f5&Z`Oi~Ej?;#`;Wac@JY)m(%$3OwTW}Hn zRl;R90WY_@FZl*?2$xdhPN)imEjcF{7L`9$QRW%DQdRx%i>I@F#5^DK^Q6wGSJ#9h z4K)My#u?rqjV*sJwY-^8YBp#Xs6-jd*?YnCdIkAa2-L$0vJZD}W5o?YhJQt_G`WUm zO!PK39lO(jNWYOw^O3ugv*)tn@LygOWh5PvR?~g62jnG?eog|0?Vt}?33(K9yyN|7 zOc`ut_+w#@2{9`ueY(8G(+A7fFOZKhD9q|`IX=iH;VA(Qe5iQD&+>c~EpB>HN0# z-@eEEkDnqwWD$1$S8iH{;7=Er>nX6n5%&Yh+0SOSzF~?!D9+)oT^*?VV}l4h+j2qS zx3;~8^e#NisCx80Zs-ySv6fO@(v>Em<$qT16~vuFBebZ#IbhPj+9)PFzgcNF4Qg^v zM^m|mnJ_%N0CJ5D`yChO+*&=T@J`@-^gYsg*kKM9x0SVPGknd&zxBu5l1S>OX@lQV z9a@M_Z%5fg@Qy`TR2Q^4s4+56b z*K)J-#|z4_Q0x3~t!GzXU3=_64#OIbu|kVH6D%NtLeY&5(_ey`aOvocKYEg93!2WX zDm0eAB6AwmeSP5WL_gK{bYNAcO9z7MDYN5A&A=^tj08;U9wr@w4l7Y1nd8m_2lPf^ zpMB718sNfZhm~g1Og=x{_aj(32xRWFg>rvY>+7uMz;RJJ2X2%M6*OnrY1B8lw!%9+IfL(He#q6!o2b>%y^Awyl?>RK^Pzd{y6f-x z!vEv0w~51amrREGr7D|-wEnEdGQzuW3i7YSsK&TVT@E*?u>Xd?57q>)RI475;E$=bTTW;GHj0BK9_#Jl_prRMf{y@ln*mhXv!*yN!Ku29!LCW`yE zg(BDRD^hN@?bLip;jZ_)lC&0nPH|b8Pwr%xhFs{l0xv$s`PgBTQD8ogj~y8#K^4sU zx9g8~9M<`Wfq-<%>+*cO)|FOytSz#kJQciLnrceID=(}1fBIpXF2NgTN<4TuPolIw zD8F{(B&5Sad$KSZnUrKj=imgboW}SNO584Uq?|g*tIZKco;5I?#y-GcTeO;#W1!<{ ze|riVH6A17`u>(pl$)SK(H;)8NXnfT3*PKAT6qeh`zfa8*(LXGLDNkYHl7lz{==!? zH3C&OPP;5l-Rru}4}bfc0c-^Op}^?6`itZ3i7S^@5&=(bS}Az!Vr9j7kRO}k2B_w_ zGqV6FsAGaL$#l;f_M8i8tym9f56d3UMOZo)mE~y-D*kWzR)5UVA`@M2RmYsx<2JvI zhcm==wXKz)VT@&22+R-&{jHIqPD(EO(5mWE;ar`%Iq7PPKW@|(7u9KalY8t+gxzAM zS%SVJ<`B#;M2+sCr;#4Bd+w0w?HBM$Eg9WR|AlrL}R5@M34Zh;@ zNSGD3(>`-;{>i*6A?9Gk^Wrb&BZfqNLrgpJHz(J-&4w=&-KkGlBhmorKKo4;{5+qX z-aqB3DL?600t5b&-H<6QkUJOqX<|~QMI^P{!F^ZsxBC~#`{Bw3oZuksTqMgI$|I1g zl*Ag}Hbii{(UWt`T-U3*)1@x^QhR<{YFw8Dolz7`l<sU}a)DZOvYZTt0AXndZJ2d;tqOP$(yB>#-R`q6mm%L-M`=y>VY=4!Or zjjL@2hcu!?ces6T&m z|JMUr)Nj98jdZ)N6`tsomSo8sex&;xVqFApwl)yeq!CazVmcW+Hlc!_vbIuO-u3P6 z55uyp#~d>E?IQJYsLL1s>2FT^6Ag!P8IfJqtYZ4ha zI3Pc8&65r-H>eY9Q(JZ<>4iLqUt>LKKKJ-Czq-mdiRn>?)mS-gF7bs;;3n0}p(%$1=(8yM1S^!iVwNJO{Yfrx_p{7wO~XKFkP z+9;SfF_wfY9_=#tU-mv8+cN#V25Lb=qeq7A=aak8+v_kwR6j7h_~kNB6+4Fi4-$ha zH0;KAtNNAUs2>z?iPp95@RirUI5~PFcCVy^_lAq!Ob>_9gjwc(zO>6`aod}jABfL+ zh-4^~aG<@<&e!LMXiEvlDjXkK8~)RaNsBd2uM-%_D6>7bWfWoCq(y#q zAvc+h8Hv$&Y|QiscXzD~K&q4=BGk9Zn(8LjnFeJ5=&2#oc zw!J+9;8$+k*!k8FD9B4=EwlW9-Ne&=3~xRCQ!<=!o?x=$Qf~+;j;e3UcOVx;nUSjN zRr@Q#Q4j_c+4P7{i)W1ZD?ejLVF@L>#DHJt{ZSo7J$Nn{y&>THNf_D!vQ-)?? ziAfL_3d3qlx9-NJU#Q^2XRvcsKe63 z-QhIM&bWa2{sCpAO>kYz-Zz@_Vs9$eyX)5BTpp1+)9(|fSJLBUKZ%tdQy1SfvlPiA z?HTM^2?SG)e2F2Alwf&=MeSp6UMF%Zp-qvfY?t*v%Yo+^8o}u;^3xYRrK%QA?Crn& zlfI_mV!vx=W6FgfiuCB&al+>*4qXR++7Kemfr97?6lH?(oSWqS@I4nXX_>T(`Xc*S z%~!uud(gO@rP_MrGV769VR7i`5sMI-_ffaj^O<~H0?e}7MBdGJZWWRw6bRQKx9;HQ zTTCEia`j(>fbnC~OJeW~A2UuF+f7gALYr?8e&C|)5|yb1;O{h!(DDj~$f+s*j4?0F z&JAqi{VIMmj%mRz6zjkmEk5D|7p%e;od&d>n+sJMS2kvS>1<5Se~YeN+a$l8DX*ns zfwBjBFW|9FvU zd4MIRI9_hwNik{HtT%=5H2c1tM4$P7Ua9Y+gH_V>wHGr-B>{Ulxl?R_`Kj|gAtD4N zjFzuCtZt|Y%YXIGxBX^peoKI8_DGzM|9B}c9@emS*>^d&VWw2yCLo34cmFME)!6&G zW_rr9))Fy-j$2xEEj`WiRQMx9Uk}O~tiCVx#P0xiLuV%ZspU)?o*g|5-}NY|`+bXF zkr}bOky$6>w$p_a9tOhbj$}!y(4p0J+r;2sKR7%ERXFC~ZD#683&5|8Pv`I9Avq7& zQO7ZIZJt*!dw4RQ(0Ov(L~L9C(XM56QB~USqIjW?DuQxjbLsv6^v0AAyzAjleEGfO zw)w3K>CT7F)F9WexGBp^KLms#<2*3{VaZi%Ge)+FJ1tyGV`EL0upQz8J06SOr<|mXhvnpr)&qq>nSE`z|>Qv+u7~qnA;4Ij))A|(UeaT?&7(DxAV^3E4 zZdZpHKoLtb?QuiXysSzteh`;&t@i@ct`jUB+&gKF@%?~pPxrr`S_w;Pv`d!|-zH{E zx3Lt&96q!JOU0U0{0x}qkXPjI=Glj>90&`$7`JwH+eWiC2wSf%hCME@*y}Z*=+8{z zV)Dh~1K%W`7EZ*NK%BlKs&N_31Z^p-`S*4>M;*SDMIG5ank6OUt(A7^Zbf{e+jRW12=4oc2UlZ(4Bfr-k5_8tgb%)O!&EQp(tj=G(v z*9=SFJE;~+H|=3Km)g3Mp=BEiVKj$z7&A7w%f-A0glxpSL<^&>!PZg6PiuT9xGaSBj$87q&aI_;303z72v9?$>4YlvplT+!p;glvMU z)4vn`$={qCGq0)M1g>Qz(GW!y=JQgqIT|CsAlsg);obqVY8 z=>R2#2&VLwjx>@?6niuXCPNa%!U=e|M$wHxk%B}&l)`S8|4e?$H`u0VZa52SU6Wt2 zgNqUUrx8VF9ujZT#pdN<1;j=56uNm;Y5u1*wuzSc-$S<6%vF7AFE`dMx zj_jMJI%Ogy$0qoY$|8f{q>=HU?#&f1e<-27xW!On_ooEg&6|?@FCW0GIq`eUqb{Du z_1C4~o8o7I696wEbb1BBqNVQbjKi)4=j7d6sDtPb!&YTw{f?(7OJGZ?5V$YJ(Xl@l zMkrh`A$yFHy;4FAk+f9W?JE|dUMgZ|)pGs9(S|C^PV1h(Ev%0B%~#LDBhC! zARPs2${l^V<~@eZs-CGeJ1X+jRdgLDA`by;Q*+^w$viSSUH5=`cMl#p(oPrTk z%u`m??3Y<{8rgEOs+fee(cmmqQYLvlBJ*mUaF}?&ujr`%dh7(1Z%aXv7BVb`7S%!b z!NVS)I}4A`1M!}Ny9V6pZ;yU&M~+2x7!TSE6cp>QD%gcC?1qrxzWs@1?(3w| zN?wK8;Jt1%ZzDwd)13H|R$ESn>%|u3YYZ1(e?czr2{NMmhZE~~wWeA`_kV~yMIFiS zv!+usm&JGY-y)KC&pngLtm0=u^*;(8r}b7#v@QuC;jL$gpX9wj3D_gA-Y&Ay>;B;2 z{>}A#>t)BKKbG*g`>BUiqA}gCpx)kAbeKwZjPntSz`^BjvsrW@h`Xy1varAaR4&bD z^?gwE2<{M*U*U?%>)m-YnS0qykbmUVR5>);GL#=mU`Y{=`#e{h&7TU4HGVIcZ6APa+{r){_9)T0#AH~1hR7tC!c4F! zSc6MUSAKLeeuPpj5><*KWXxrz%8}bw3UwI+{KxyACiN8K(}NxI*S13g{f&6FLeL7F z1d0}ix_C9!g(7dhvn(M9)Gv|eO?dK|&owN?YVAZG?O;rBX}CPR=r^`G5Oaa!M?`&r z?Y9V(xp%{=P{C~##N+78&|lyAbxR(eRNGdjNZUOi7A~kb&p7MB^mnWr0Vk4YOmH>J znsp}nI~9IM`RXoJpU0i_cW}YPMzfnqjqGpCv$dJ2U;!2EZcy)ma9@;M^+O=Ba0GZ? zVocH4dGb6b2f-OgtLRN-xnf!?#4E4KG0h7Acu9GZLPBZOm1&?_x3in?SL;nfH_wA)ITgA-oTBJ5reIS8u{C z&O$9epR=YF{Va-dT!&AV>=B`NSh0s0I+x`BNcbumMZvj38Tv8X56DnRzi-GW=1x^r zmrVYzxd>q)tsYqRgH&vsz1=vWqIn>ilf1o>VP>i%`qfl1&N@5>+7tRRu+A1?05sO~ z-{3Ro>~0}>f&|?omW<3be@(?hNp<7^g~z77AtjsFQs_oDMlvH4LZm+SrcuL)pIYAY z?^1Fji*UgMdtPG!G6_hS3Dk>~B@rN7Ar4YCr)Z%{vr$!H-f z?^bqEny_&re{4N&bFz#K!VZV3cVi4k<_R`nxcAV`)N-(ISdFiHAOf4(w5!wCI)O`_EcrN07fSwoPH7))Jcj0XnM#j(jtPkd=7?fA_6%AvZ$d70EB;;9 zVwPxhmCeF21Z-6pFzq`ds%NO8r)WNl-v8IZ}0^795npsxZ@lzJRRe@{1xl zR7f6L^^C9iIO%?{_=a(~1N7*($q@u5IoUFmXY#(@h%LP=I_yHD0xms6Dvf|ekevUj zir(E`>0g%ri?u2r$nbtIaGFlHHDTrn6mBtChP$UZtT>DWN+d(8mb9dj-Tf11SuJTD z69e(1{BXjD7;r_1#ZwbBAv8ma0ego@`Y`z)YXT&P%UMWpdO3eELGh`1QueEA6)rBc zcUfj~EQVNyAD+(Jl(k|iG(^@n=6-m$@+WlQD*7sFKf2m&ZKL9;8Er60JG3*yB!k`a zVEoG@gIUV+U*=0laJ5j*%u0(cQ?HEs?^_9ry;7bm8A+3W>-%@A(mZ2{Gs@YeS^FHn zZ0$x|)ciN*WY#Ki_uRtkAY233T)q>@-F1yAtxg-hsU@W-9PY;+kK9oOc7uW{ajeS! zLkDY2qa}=1Xw30~%Ur}w_p0iweb#UZn7=8AvG`UYluRymi4Y2x*1fnS=>!mk{SfXd zvJaI()ADkEx@0D$<{oI}0Tl|AntMT#{PkReSRXO#oG$7V-#uv*A5Xs9%tN_*iV|+J zcW;vHe+h80_DaAE#;d*UjWlvOnN}!&9}RfQIH@pc5e~+ZU`KhK2T1WXH1kiK;L7PG2J`TbZ`*AIJo8sJ3zHpi2j=q?z^~HWkMKti| zI{x9)kiMF1QbhU2tLeJdqsX0m=_|trG5PJtj*!-J9d8cr$#&P?Xur8_Urr@Ok=3@b z2H9%(lJo~TcPTT3eIQ`B{D)n63+qUx-a^bN%L;|lOfDA%G_n zXJ#fOZigM@^@)E+|6-7xOm2s@M#ehyZ@?K#58I0i8{YS6zBBpKy__QwQh$4qzj`5) zyDDzZo*3r!MHT;raF^b|{-$VZVT##?X_h3nLe0TkfmSW_K4pzOy-iL(H|i*+ZS=XT zwK!=AA{g$aPNuJ#|D3ZAdY|u$)<*x3*88^U5Gozg*gb`%f2r5IY;{HLuVi*zxD}Ue#|`S{-4Jx#EPER>!M`0G6za+bsFsD`B=C*5=x7S(Ffth+BS6 z$SM(k?czJRFz_}WNQL{!EFuAjw3C^J=1N)Plt+1a59iF<@%wKPZH^BN4Z3lVf_`=X z&*mn^R-bLUkk0SM3Dbv4=$lE>P#U#kbaIceBpcL~rI z3zgc4Za`R+2iS1l8gKan&VPVjyiAmN}LlJ#q>WYVUuvmaNr*%!}pky;gS0~rU6 zSSJy<^&;+AAh|~P*oviG@HEq1f%d*?H4$H#b9aA;9ely^IDy(igDn)vzqj$VY~AGr z)j-=ZYOA-^-M@bM75stoy7ySxy8RnDJ!U`SIbyCi!z4Omd)9rH~)@x}0`J+wV0L)yi^P9>5kiF!8ykmb3RR))T zN!})0r2m}A|AufDcSMr0L*#?%G~eebIUIk};_kx?1gHcPKImI|HUBy=^6yn+0u8J$ zUey!P0wrw*FjTPZoM0BcW^>v(7bf93kLn<9@EVM`gDs|}XvMDMl1hcfvl!DxB6OqX z8iJT2@i?&DNQJWdF-<=M9Fo*3$+eDBDw0capq5e`HnKUaaAorkqDNRwGiHrg-0<8# zq;lHRME}`uqnr5qb>@y!@8zEqjiR@eRmgK9Q%dOGiFD4f;@}tT?%{L>q?yFzCRpIm zf4Eu#AfF$xe?5zKeD5YIC@yv(k8W!|G7lVF12W3fnql~?Kf4hZs%+8)Pg9P`M*QaG z0U4w7A1U`?)1L{PjO!voLV*c7#RY<|Kq4hy$dpo4SvM1C+hYoaaS6H5iQ6 zZ-{6k@Tfyvl!tVF&#(gCIz z&kJfu?f$nhhA|3SD^8W@s)NPtOCYUBRqQmNtL$D}4fE?YW2C&a6+lZK4zj6uMMiBn zdP(+;HXU4jx=q2WeP6*_LovMQn*yi8E?*ohtkfR-Ih4(zLXSWter`a>`CZ0R4pxoh zIb`%&*?c;!!Ql}*Jyq$UOAINKRa8IX=e)P?v7bHtEnfPj1neyk_R|;HfdUFZBr@|R zB{wx$VXZFQip={!ApKT}{a=>+E#l5*ZtF*#TLRu2F{k#Qvco1h?=^?NO-s2Hvhy3d zv9}RPCji8qIB;$uYGnyOPu6b<^i6rHbgj9$l`^Ls#d?2H;r%S=ymW^hy z2A#0(rbv-X?TY}--<}s05-BUy$*O+7f4xQj-h__js*9IY--U{^?!!Rw#zc;S;c2_gWze?;w=_e5 zvO?XksNWdi?SA?HNp5@cDX9(Rg}eyCXq}W2s_m9gQ{n}r{JUox^IN>6^7~`o`X$Z}O#_T$ z4+1bvFqUuyw5zixBjsQ(4s^IS4rEL_X0q3_tLql)Nn*p?-bz^>Ltxg@z7R1z*A?e2 zGOCMLoRXZlIy(fNxCT2`#tN>su?cA{SVvG>N6%pc{#UGx%6eAJONqNhI^A7wA~{+H zTxaN#gqzde#oLnkZw)pe>epJ{rnLYi$Vze;VcIHrHUa0yJvMJq0nU}unfOL3+BTEh z^9~G^>=g3u{my3z*m20Rk}eRix@x&^e0BYJ?SR3s7AQMcDL#T1&c7^mUeC*&3V-L= z{X8nHC%!)eDQ+#I=Q{N{X}zfKguR#}o4o+>s+vPiQ|issKpWR%m9cn}%!l0sgYhY4 zImeCdn-Ku=caXwa|G?ai7m9;&(+Kh>t#*Y*Rg18Ci|EzuyTw@V6KV4nK3SNTA$D%0 zg8!KaP|ypdxd1Dk&dzUD>3j2No9Py~I|VRElFVPFk^47kub*710h@ z*iFtCi}o8I_5mK*^3QIi{?T{aZ+Fy$PRGbMAeb270=anT#E>CSiLFhBjFL$&rp1AFV*%`z7jK=&A zxFM2IR8nxtCoeO4q)JfR+AI&o@k+Fg^57snzyZyR|L7t1UN#fkZ{JIdZaG0u`0|el-qUPm}$|3b>o3hgX_&Ig>0& zwr>?j?u5m%aUc6xu1bg2AU6eJhicLN|j$BER)5Bj(PZ8N7A;Cu&Skxk}-WzkS26^y#IE3%{ zc~GZ}dw9U}^_uC+=y5L1TFRrgo&Bj8uP~G7EMQ!7W!m~xE@v0tpIDg#N_@%KD-H!o zT;E_KKjQ}O#(>0+zg0|~vRqBuzp8DmdeKn7bwdM54=cyDZxzNTo>~q?S0FU&ZS}Cf ze|B|)vL?I6?p2f@8c>qGS7nf{me7CWP63~CAm=$^RqsOgp=>Wev|nmv0BU4?C*&W$ zv2?aqmO4x8?w0x+4#b(%^bB4r2;R=vbLaIcl{wikP9RQwZ>!1@kgK2%l$;H;$cO4B zDKE*Ff~vFh3V2J7kCf4T+bW79ulCM0xrd89FRovt0!fW+_}Z?@T_8w@M>4LSJAWKJ z@jSduW_f9pZQt#*<*I10T6y|g_-{-yG5y^4?4Ot{VsCTbLS_WY>pPG-cn|rLI)z~E z`8;sdPik02YYZ|`M4#aIGNot)z z9Iepk|Mz;NT)?}NK4zDeZb6l(wV86KcJ=))neEjo{eg*fNQG6>Q01)xtD1sVKcOp) zw5jax1-;+Nx!c!y-=zU*dbB4@O3;C73cI)jvinp@<`3s2`0Y5)hhZ3HI zrjWVSNC$T8ht{jDToGEi$?{gc(Y@&2p|w~3(`>6^T7HwTe7UhB=2s#zTlxd+nOEhK zGroV7N_r=@x`W5kqRx#uIh}HT5;ngnI?-+P@_tC1xVf8MB7h!ygR0|k!h0^xZ*em3cICA~JWa=+&L#7&51+t`aS zKi~ZmVAI7iT<7el1ZX-vpyAzHW}x!1v>J^`pOv7CQ|BK8HqF~2aS|8J^F2vav4%pC zUUjjZi^bnBG+cqHxT;tnj8D-Ls&Ba=?*^mJ%cXx=>c=^@Wia)l1Jd_~&|CZfVaGCE z4h4@5S{MN}ksEgcu7eQsglN<66Pdmn;?7NT^z)3wuvRP+mF9?cbJxhBwjNc8#Z_*A z!cQPg$Ww-1T?Rk13-b*yQ*`IjP_HdVq_&FKIlEvs1C}d>2%U80bWXlLh@^TSH;ee0 zuTtT+zU8Z=CYuxjrZY|Va|&YZf?4>B23UHD$wazLbVH$J6;~Gc{JZEw`TvZe;jNK6 z@_)v#;X5lG2s_cH@P)v z;)*YiW9+mtZ}G@GEA9whG2Co9FB9_a!rSk0B7y-N=Rv!V;he#cp(h`_FV!TZR@kNK zjJTA&j}iZ6t3Y!2n>=HL!NidYyf69mOlpjAJPm)Hn`|`m(|?OXVKRM1H`cr$$9$eM zWyl`96=a!BN4H^vLh% zpO;J@PTNuVfZ6w0#+$)wi+?jlr3`Yc>dN}0NA4eyALPpLud*y{7)1vfzvY{22G$te zN*5~5It93)O@&S_Lt)sLjL{pRUF$UprF!xV($Qsv%&x5dMl8weu7#01P@X8?exs8q zP!1TF834$0S8w7P>8JOl*--S+@M*l*m2+d`jQVnf>=Si;+_g4;Z1(jXj=A!dokccC z6|7joh0N6LkchF}`)MftX}OmQn1Jt+6MXJQ~OZU!n7k#97^dLj!tj>Xd*v(W*C z0XQ@72--%O3T<(rGM~-U1r#s)8|_F!Y{2shDCtgh@<=4E1hX9yx`Lm^ zzqQ=3jN)c3Ia!xfMAog@<^shZD#6nd8F6^N?h-_PN+j>DAvZq~!3uqyyq`q}zlS%Y z476l@rQeUif>F^E^Z0&uC_|4;{&NBL(6u$qu1{lE|3L63Eifb;YnU$y2rd{$P7NU@tEJo=qP zljtCWad8$M$L(Ng?KrB&?(0!YWJ1zfLTXY4EglSqR|R#K$<-<__j#=tuII9&l7hOR zUhn*Y1J%?Nl>Wz?eR6dw$U^Q)Gs#fm%1zj#CT{^jbENOG^G4sD@E>L}@i%|0dAo>p z`f{cRZaKNw83B!JOtx%oP!k1myA?^jvNyWaqa9`yD?Ye@#Y=qlivsr-#%dtf^gYv! z6b&12i6)K0;aNZa^ZdL*fH=YFvM%r`C<%4KIq^^3A7Y2tn_>IA@!uzQS#U#w-sRht z#zvND{03oK>F|y@FG%72ap5@r(eUV&-^WMUb(3S@+BFvuL6GJ)77vVrNT?dR+m1H} z7SVezJeZvM7&`&DDTA`{HJN>1d$T{T4VKsIGS1*UOMQLb391lFU7Pvf1|cfVT!w_3 z1On=WkZLhk^~~L&-5E6^H^~$z^bcn=F##2612We^oKFS8AcVuJi55XExVyIWBJeZk z{BWv7{|BnxUug)+`U8h_ftzOk$J2KQQuY7;UkQ~}QD)>_wj{DwC@NXm+1Zt5Ghk#))D+FTdczOFrf=j!wQoqx)`=brQ0&+&LZAJ4;rD1%5dMQ9Hi zUAMZvW1no)qtgIX8a&jN7XQs;Bni)}8QEyNky;aKqv6}TNbX_3aR5wf{0?x;An1qX zj4a)XpkMHU%~YEE`mGX@&wZ#z%)xPpm_EqN zBZ9*?hJ}jL$D}TO7U1h{cby?3hQ7+F*lbUyHBEOF>F1dr=+Ee4*Z_}_BH<)pB(|=-oY-GNc|GG5O2X@uT zNjb*w7Qhq@5_!I^)LMNEr0VJ^th#<+S1rtn`8xKjeNkeZ7t!Ylkxv$&+pjttJEN(+ zx1T@C>0_Mn1;?*@f9Gvx6@=5UETr8NhKg%H*_o3Q_}AYg*J&2_-G)vZfcY%o^_~XE z_Zt_}#2QGy>4Vjl2}^|G12YnB{JPzKBa7->l{xm-UiGWMI}LSX_o4c+Hb6}yzyGd1 zE;wBkP<&r_fCPv9Xm&!qaSCJf_14o?=pRwJKP8T$S2N@jq6y=je<3X7^4C59$xyK{ z9GGq6m_+qQaP{4!d^*jIjJ0s*R*521(F^QvLBGF#;T43dwdEi(sUel9HFA(cd;pDt zz-i8WK2@P1;?F*|%?raj>I!#D;^ZkSe26P=ymryvcd6yfIPS53|5`Vp*sHA9BfnkW zF64eoF70GgUo!eohZMh*EWR>paSbXtP2HS?W1`_y+H z8&V33OX03S|2e`*OYLxLOfQs;y7Nq?xfUEb8S!AYESUrJFYu_H5=&u(1Q%S5U-h z<490Or^`iv2HYjfJNWa9jHnrfPbzVp_J5U929;fE@DKUa@NSnPzr5ii-j&IX*rPr4 zSx;K|EA10jMBexqb@~+J=3?!R%OsrdIFNS?E5+7y)%pJWHCLLd)~>Zf2RLIJi>hcR ze(=Y1hGrwJ<=b22%b)<68Wd85y}*-lkvdVZ*rJdoG);jaYIv;F)SOx9St)y2dCeK6YU6P4p&h@L!#{tymIo+pHII{oh!gQA zVL5hxk|ZozQb~~*c|{o?_6ic)v>I-MnZE&L)#~6lu6H@a+Su9P;NUiiFu9`lyY8nz zoIuBJYavtKL!^eZt7e&AuM7=Y{mXT|RmOkZvzw+s<7(g1fZ}HSNmf(;z2Ja@)5rUM zDweYN#<^Jq;Z+7dgRM^Zz}!yOZJ|oiItn>yDKs3RQ304KIip zU%+PYhL5B?68*F8Cc`*;7~7J~`li7AH<|NFiv(rE04Va3X8smR#t2pWPey`xjnlUS z{yVT(r;d39ES+jMP-Aj%8*Tp%>K*S{>E)o(Z45Tw4gldpWFh3t0rsJK2+Rv!sMP1w@JgW<+3Ga}$G8>vFt@Ee9XEn6fsOduZmV}_6mAA! zp3V}$xlet>Oiv|KV)j+EVG%vg+G;0nf+*iZ2`)j-8~=C}LXOz_UnXY0Z>(wqIv-(v z3)INBg}-_-m+~@Ua?8iP_k@JaRK@AC8BKy-E|wgbp+pbn!p3izy&FP$CtPkTGp2f( znpPNa5T=sj%203Fg6HPk$l4m^B>hZPBo>nH%f7IE#RC$NKe4rh>vCkE9F%iB>&)Mh zd*v1!J2AcBr2eoIDyqj72_6NA6v&sDUJI)wXGq*;k#KXoqRgGhXT$U5j#UTsaPN1v zV$QSlbeL6)9E%9bxpPej6`D@11a6V%-P4pNt|2?hlcgQqRG*pqBs^oRzvq&Jztm_1 zInu5Bf&Vw#jb3M93x|(XA!>a+7eK;SU(k!({eg9tJY3su{=nTqf?%tnbvZ|?8FGt7 zB7ct*$;qrs>oq+q#6?nDb$o2slm7Aq3|%WNKXR3hOru$)lX{sLT+WB%#i9W6VfHRVn8e1R(V(&Tgnd|xyo zS{|*5yl2@vaGEvuZZkAGoUz?eJU^Xn{WQwbUIk6fbBi{y~IJ@(AzcGAD)6$@?|fhI>EZ6h{TMhYMT2VBtnf#kQ8#!HpzKtZC!qo6Zd=kD&oX;CId??yTO6f+NRfr*!M_Y{3rC zhFYX1ZQ)viIIchXj#s|xpd?e4Xh#=rZzR_QOGescY|R+dnB1~I!qc+9;zrHSZT+4L zsZsAtoe2IF9INP}IAY3ap-(!KRkuPY^4PWoCU=#bx3Bd9bVdz}$J)VxClm?2jZtdm ziC*jO>{{SV)3-HaRgWfiMB|K?9=i3kj#vl3U~tLSJj@i zg@E9HkRnL#sXg*@zurYvxr-r3kUCPB>|Zto4oYDTS(h4Rxkp2rBrTzDxvMP@)xbsH z7Va5=fR6BPVt^`mj~f=EqDna<0{IoVpWgfs8BUpX{X^G1j@6n)cQ-4)UkgzS4OqAa zm*HJk`rgSp6yu(z@Kfo8&TBYo016w#RrVy@M*_$}_)qQT8uhmIq-L#8$e7HZSR4z; zeRG^z9>7#c0gq}7E$v!bZ47d_!d}R>BXre)>moiSOMFOf`F+Y=6^fW!HCst{x?{8( zFwb9_!#BC6-cCYOuJr_pYvB_7o+2J_t6Tfz58D6Y(u-BUi|mJnA6E&;Zyi8;+3(6* z9r<`dVD|FCeiPPN?Y7J_JsCg$X-OQpa8F)9&mTY1z+VGRWZ}g@rq(m!KC+dwtbQVW zv+lufm5^(|47qPsSDGv9%kEdHV_b`juycjTFE+*ED(< z2V6MohvJr@D&n}7ksm^-mKkNv+ikzuZ-WBsa#XMvK&Hin!miOM38GdgYp`i@ID5=y z-ytfwi-DPuRm~eWIN^#e=rszW@%$Fya?v6gU9pu~=JDF_Ybb*Xr0!;z8jQ)|OMZt$gi3eD8SW)P+eJEwIq(WY|1U zX}f_0K~Ug#F@LR_=9e*=Ps@Y98_EMmhAvI*haDLUO^uFL>z*>naXd3woS>D~Wtkv5 z=tQs)NATA|8rnICvi8T`AJ-R$_yjk4EF%*ttZ#U7c6jEb`BYfbhR71wC_zoxy zmk}hD3(w>RCZ)*V8ffVwB@wx?Mk!>OTB*;RQhU$Z+l&8XHkW3#E`)rPhuJ6iB%VF_ z%Y8)9)OM>e9~jK`&7Y~&U8DW?e({AD3W_$;^_&ee3o|Isy2usJmzsdQr}A_Ljj$ah zwdl~;e;l3Kw0R?I{jl6gL72lo6v9!k*Jn0ihrHij^qhRgpULzq5=kCRU;dH=#R9Ga zRU88m@I15518ZnzJ~v>&w;T?bea#O;BSQOu8>+&&+*Mugc#@CaVI~K{Fs{i7x9oiq zs_uoSlnLqEe|(N9d}J6A1>Q@VxbnH05GeAgrFt*R1lAOY6iTftB!Lq%uOqT4!?9aV zKnlc!)0Pa%eHNS0Zn@6faqD%BnwO}aH1FoCti|X>suB69e%Y+g7SQd~q0^;@0d?S1 z&ha}@rRhD(yM_s-_8$?)Kfl+Q7!dh~i^mXeh}llwC)t6YH=@0}egqyN7{x67=zaOr zBc@AxFfUVECN)Z<%WJ`?))n_)HoER13Z`P$>l?@X$_f9onZ#wX3R0@?Uv$R+Vz<$m zwpI-tb0<~(Kh%W$d1!)b)NhpiTYyb$SjyN7qpeko5+01=bwfX@v6gIo!X)H3u|$ZF zKdo|QDY7HX|HUbCa+tB)Byzn(tu;A$1{uL1-X{m{k;x0TbNnWrk*2AE3VOqdL_)ec z0C7#N8vDHS;KWx9NI&0ZAzzmH<`<`;roCBkJZM#XEAk`wr~b)DgAp`tQ!DVJqI04w zGB06&^4`!TWemRcxY};Q1Ow}bBh2kbhtwv zq!_wk-glO$=lwFXmn0t6L@yr2Cb}8%$SnIAfGxPEUw<%k%Td1@ z%6r;*u7-pN#yAxp7$yP^H~Z3YkVk4o%A`sQ8wy~x0yJdIRAaGWJscf$csi+w@Kfm4kL+J4jO#AI~A zgw}(!4r?`9AkjG*pr!=kw6b;6U!f)+Ol)qg0=U@E+keLayyGc|@~mL{mS%*^+COf9 z{2Vj3N++)7M6FMo{ANcMmxM)hKq0gceDiG=t}KAz|K2!lvPpLKkSr6#58E8Fh+RnN za<0sDQNKr3r~~K9d?xq%RgrV>#@bY%YmV6|hXMAI?AnwB$MZUS|71kS$o@%hG0jA6 zAgOVHuOJU@3mmPXnr6Ts9ww35fHCJAw^ox`oED{L&dcRH=SpNC1VST5W~j>sQl=a4 zpPB4y!x#JICEC06Z%%r5zq2KX27*_k_lqWgA_QGZSNJIl;lBcMi$}t?ojOkR;knzG z1w(Z+jZr)I$%3h{Bbknz7A|0**@>;G8nbkfG$TfkJDkOEh25>IpwHEJDh@2AS^IQ4 zys(Sm{3EfGH)AUK!|(KVLK^t(vtj;3M5O>eD<{a;kK?@vb4Ac$5}{+P7OWdM)NW89 zt&29yjILkNc~o1WWbM^|=!$Xc%G>!f^@yFcw*35GZqs5zdI^Hdu z9OnbE8B__lpn)qCe{R5{GNl-0zUrJS<`!50h2FPj<>Bd*k+vO#WczByW(JKJ}ps^%ipy=dA5SAjg)!Pv)k2lrwhPe4Et zQTObZ<>Z%lIh%Fg3%W%gxn&Z6po;yk9Mn!-Ye>I26-xJ{%5`^A_#?E5QsBeSl7$hA zKUo|2`l25Z26+sWH1rB(VU9ED%Kl>>FPv^1YwxbvXOaDl4AT>C;?m*p?J| zGC~(;@E^JZ$jshWqK?ELYx>?sM1LSKSr@1{}Z0yCNSq7g5LK z0^MAEoHD!{VI0%I(1prNKAzWR=-sfh+ggZn&Dgrqv07riN42%#X6WZ}4E~0VutmAi zW1d}F38(7v!8-+s1(iCMo!ypsm5_Y&T5>W{ZjW8bvpV^jW(R@7{tr5DYT+RJpulBn zN+l>G!7Am&$U8Ka_F+9kfM3?l^FbLEcdBhV!`2r#?f?Ohfa4b>-%G3xUJr=|{<3h~ z&rCb24@+wvGvnQhgdD8l7i2v9aWR)mUte^3E*?zld#?>3y|+4;W*xb>OtY_<)#=fu zUgF)V+Zq5p+F;nT24bZCs_<fBt9l z1F(q5GBsstw3Y%d_dkcyqZy0!53WZ&`l%!>@CWlQ5GOH1TkBw0ZX$(c!|h|53kEuT z65{Gr%o*NGi1$7lMuy$*xJEzUcz4ljOCuqGuoOD2_?QATI2voEr&t3+SOd?IT8Ugk zx%%t@-sa5tLF95E`(NqWV1nEBB`hn_>BZ%|Gr5-RwG(!D*5B@tndDyb_A9Dv7KDL7 zVb)4?ilgk!;QzX&;X$_asX08FA`tThXYP#`+;mf7O)s=GSzjDvYHt{%&@B4T+Ws?m z=~(*96EfdFf|D$W7b*Cs`QgCH0!m7rz7XUVUd2U>3UIRp{qam4{r(PAmA&@GA}jk- z0#oq<$ZFjgxY1I2dvz~T{wHRAJpgujM~kQWWB>RNj8Av_JTR`(rV`=LwNf>2OMeTpeXBHz7}w_n;=X#l zZmIEZI&cg(h$iH0F*#|9tb41Nl|XHfvHYBBzP2i7&n~;FImS`-#I^q}FqLMy`&7nU z(frGi$(g>iB4+vG73h3-8GSHP>}ue}GCGQZ>q*r1>8blFr3>N7T~8R#OpFq`RI_Oy zm-XH3dMZ*s!YyOqwL_RPu(VLIff0&b&fJLatqt!(*MCV?AjzKy8zP#_;*!O58ztz) z0uao@#QcWS{GEW0#@Ruci68ic%NQ6i%XdU{>G4eqm5dKH4No<=+V{q%bznf;jL{Z{ zy$@#I?2IBgd-EYb>X@5Vpk@0;#A5f=0En&8N7G|NFoxdjQvJ*ivc?>2+DBl(L$LdI zCf=Nw;s4B_=v`H!aFMe2aoNEK*X3VaQfQT)7JhL$8L6?DD;lYS8Pyft5*92*J=VC~ zk-I7&{oR$xVF!#e2HBLs9<)~>HDDgQ25eGHyGaRXZUK;0d2Ra#3jP>SE-1_SWOs`Q1v#x37IJkHn3 z@6RcAV=ZudxIV+n?bi%MBI#@agg7n`^?d!gRQ)_v1htz%Hge*A8`qCql#VN zkDtd&Gl50=r!bpN+>i<)f2=AH!N305X!|Y;)FhTmcyywT(wp3Egr@$zSZxh7rJ+3_ zV-8V$^R>DgSoExe+PD@UK9unH=I~_!qfIV9v?&vvT)_FD0u&VJ&zUY=+7nK6pb2da z95aB8x;5Y;3qBXLJF!D&cLOay19vjp`id2KV=_9KP$`3xd)u4M-L6OJ7POO-y9HU)aJ2UwN58Qbx) zLOFl0hnIFwNAxIPHw^-luK;Z*?s((VVoV29%yc1>idH8bM5bk%e~@QnN5$zUi(Z^E zIkUxbTF*w+T6_DLOv28ht`5-N4o%z*jq*#@v0V}=ZU)Asb1{*tYi zZAF7C?%&BCKRD)+l=*(fI0g?q+XI%k{wd(ludHjb0g$7C6>Azjq`Y;Z#JLp;6} z^Qrxo!3N`CC~o)F9OYZ7kQ?1bW$$YjW&m)>N#h{oH)pe7$Y)(a^cjtMo|?Ht+WwM)KbD_yVxz za)yWPy-;x7N%7bK=T|wlCW^Ft`94v!uH4RDk}DaY0K*48AdPUWTUUWtT#86iYq1G`EyIi!j!w-cOaHkoRJ!2+7d^y zAqqTqcBReFJSAu7Gm|$xu@i-mfUK$y>9o_M)Xz8iPH)MQJ%WRkX|?Wb1Zt1OZ9rA~ zn{d8-$F93hZD|%G7CADkEq>$ux4vLZ^_-)BJ*m03lJkt$+PSMOen$M@MJb_=gm{y# z>3n$5J=q&1Wnk0OR%>EG_MT@-kL=zM(5o4m^^4?0cZKw*kT5m+C6&v;b!NAKiv3|H^2U>)UdVrW{_bz3@BI4R^xGh~S_8?8En zETtl82k~`*d@lT0GV6x91$x%ILkL`Ec)5-v;z^HR>WF=*ciW#Qx3_J0AL! z@`{AKvfF}L{HneQJbjwD%nYl zc_Z+F?_1sJNH8z62wId8Ep3h#;;XGaoPa;)!nv2yh~F1rqP#OxGu8zP6daKv-JTrX z0_k-!4w!xVtJk%)Hr&}s{X}7$&X}Y7?PPgQc!_hm;*5RHJvJZjMD&xWN*%Y8veenH z_7Y(TZQVu10xcipCcVbtc5Czl1MyTS=E>)D?ep^103t@pY9PgEGcmZ`+SxL)~yRu2RKEOKkXJaW_K;dF-DFg2r?cFeA!%Ts znctfJkB|FQqa?M~jv3+a{hwF2utD;XbR+hbvK;_)w81H+}btDKKjrVu4iX+?8$v5SxVGAGy;%jB(TSdy}jfnr7A%n7Gt!Pczs zw{u=&GKC64g}1Jq_1vS`wR?GhSvXWe$V*OvLrCuel?y0744x(5MQ8-C!}p?V_B|tZ zt7xVN5X_20?k7i|Os|*KnpFw12rv=WqtbodB82Fj8f^UG3&U};ZyBHSFr7WKTg#ce z9$R8eYhWaJwvJfX9rugy*xK4(ELD4v-T7~*#eupNb2wZ(!5?_1l$M58-$dO(^)cj3 zK>-4M!p_v7C>LMT&{#5FDd^rCJ~XFYvo+yV)X;)sQTN#7xQAOfL_O`?c$<>*e%fT$ zfv;~@d0%4nu)AavX=in^-FyYrixH?;M2RpfWk0MpIYTh5JetK!z+$Y;38=NaUnk`* z{vNJpF)3w#B|gG8iEZAYkU0v=uls;71WvG$)YL;kmt?#{vSpu2dWVj_4S}Cqw}x) zD5M!Rl=>sE#6qCji1GdFN$0H>ls#q!i{oxxzsr71{umeeD^LFqq1{&i5L$(YQ$QO? z*I-re5%T_DIVWg&e&lLZC$o2ZreOqHH(15D2JLOMIkS<#a#PNiUvfXgB!MQG%_#6_ z(a%rl`mciGz(0zmS>5xZfr3mUZzs3Z63E{rwUb3hN$}Zx1^=Y(WV{WsrscHn`{MuY(p!|Z5>&LZIelgf(HAOzWc~MA8t3#TXs~c@6o&~ zXIHjL6AMTNGCA!kNB+4>M4r~&amb5pG-zXMN%m()1q=#>BGtnpwi-~{08e#zJKmjK zRNJ(?N!VQA$MdU*V^=P{a_BtPbJQ2Ii%d-_6RMW9Q1F&jsN4K_h**_9i$ve9gaK_HnQ7J2WqIPm`?A$-EP~IO@p>g?M=Zz9#k|@2g7zP6zH$C0XXu zz34~1bZPoh9bV8=xQn-`U(X~l96KP`V%sSu&-j^MS_Dea4aumcX8ljg&3*QQr_zo7 zc(TTT;0jVN8$B}PMgX^uuM5fQ;be%4n=l(VId_oKLT%BqzSa~fy|}!aqouWGkm$&8 zt>DpH4)uUdkj1g#_kJ68&ow7-%6jkEFG@$cbRq1zE)OV>;k+AaM;Nkr zUpVIY&7H3C7oejh{UaCMHNEs`I7js0kz0N3)hfRgWa%?`i;QEMm0%+-$EP=h#!hRF z*Shpr77n+z?4|vc6!kugKQAt)_W!o_=|zPdU2<8m*u?OyQrpI4b|R@CK%&dmD-sJj zaHy$_+ywrK-4^9&l=mCnGh>6HZ`wNka`<_4$05L70CaUy+@#$dsr??$-dforDs`_{gdBt zF?~<{eDuKj)wL75p6hAqI|%#cXmO`Qy2FD5$0FXWIw1M?YI&0@zL(2zeXGk`1HLhu zf8G)hO@-o(CZ8P=<8_GO(1Zr>$mN^sZSx3{3>>sO<$*fBq@1&D_)=LTQatucy@Ogl;9yDl>Ry zZ*LE7a>VOd7;QBdc#p|}uVveNsFu-t2_tq9{+cG5Dlz~=4+vJ^lFD_RBjf_ZLwZ*i z`j|Trq+RfC8aM7%8FgLRh3+O~$-Id2BQojrwJ`mtIt}BTx$)@X36~Wg2tqpI} z4Axfgp}n7~rq|`l6Y$)Ut+$aD`j`bw7WC@8OJ6N51BuVq(>a3@ zNbkm*4AcK=+L$WmeC4-CkSX=5EzfuuI(e;*?K5sTdZaAcFS1>Y4MUNQ*MGUq!Bjo5x4ir zpE%#ItZJXweaDE!H5 zHW#BVZVs&p^ugweEhe-0f@_Aj!%;HyuIIz&8-9vNcESHW%r!rv1x-xgeyjo7Lq4l- zdd3FtHXWS6(Dlyf@kUhilBZSTN$xj&5;>N}=V(#M5*cv>g_Yec*N_E_r z6NifCyyu;dhNm5|Q_&2YN*qIGVewd5}QiOo3QJx~EAz8~aPJ*S^ z$(C-MOi&E&y7V#pZg?4WIDH2+oVoMf4@|G;s1!MIj(xG;>?QH;*liPs`&0M2(=|pv(350!K^P?L|}0l(EZ-Ee=rL zuQg2P;{-St%uzopSU^(YfJJ9&X(`!mde)VbDNd{ftf#8%SxIN>>A54GoCW=tWKcr0ACUI{l*T{VKu6U5yl{$+A^0Hbb5t!XNr|tJ&QKs4f8p?zbB{;v*{SgMDGZYyo>q z_EXqP^hr!Z1Q8Rg$DSrRH%Fd*e8r?Ta7-|DzevY;u4iX6vg%Q}=IM!&v?NeQ4qsN*fm){GskZuDMV?GnpPr~l8k~v8jsju734jU#lG5l4&6_Y3 z_la6R-@Dvy`@&16>+i@y?0OXM9^WOYRiLWmoZf)0AVdJig}t}(GFJ%&UVx9q-?Fsm zQ60L{UqAh+mNAjNp=a201*uXX`O)BvQTK{pb+73Kyql|V=;4aI^L9cs1XG-TTxeaC zvz764+e1<=*6j;7kZ8C7NSjUZhZr(B9l(+6+BJ6WNe@Yp84oguA{o`@=n{ZoSl(=z z)D)1L?Y?gl(??>)3$IQB4m~?UwU|5As#L^@izYf%b#{Acs)*VqD*8?3O^Lla>5+G+ zK^Wf>4R21aA!Y&q_A(WM&b4`GjRaSKn6XM)8)Qa6Jh_qT&kT|kAuVq9^ocjAtwp$zF~A($U7tbE101cI3J?L`Exx7U@H6e7_HKQvy} z95k(Q)7NgQ+O)s>pu(*fel76C<7%(`NL}a7oGZrd$}t2)fi`bL8M8g=Y=T*d&K;arT}g@fE-n%kx1{bJ zq%oCe#L%JfL->B~xt%KaE=n5In+&*#TKGvocdkG0}INdjWO*b5(WePv|cW}^eDVdYTpdZ3z-{wd|F82W^4Ptl$d+S3=Oap;mFgB!ciSzcB`(lC@p5k9f7bSe}@j-&d8tM!+yBbggB`TD^`Im)!H& zWpJQ7UH-P&EaP3*{)R&5fpDMhABH2Q$=uf$xwZf3+ehMJO`(bXQ{s351NVC!U!S&r z_7J{dj^Eoev_0=kNM-N*4w^Cthyp2U|1}1TZ{xFxJHS689}G)CGglLbwfn^S`$jX) z?|uZ=a{iNKbz(0slC}T!)YTOTo-ki8hGUWWqCRMg{)~0TOcpmmTzm4%e6+4Jz~FJ2 zQ(#Tkrw6l3+U@{O+n{w8kKWA#UU#BH4jS2iq4iJ}NHVq3JzNI*xT$U4NDh)xIVls0 z!;+>4D0I=FUk6!OGVVEa4+xwTBQ_Ux{(vh7t4StPBj%#-pcOTHn=oP)T`z;eViK!* zFXOn01paitAO$3`JWsP!n#MqZAE!0uY5M4Y9j3O)|8M_i;B;;b1BkD$o(^Q6?)&TB z-4g)t!U3kT2WM7#Rc~e*FVbGO`B5x^yu8S-k-{GE+xwQFE2znUFjKbOdRX#zn3w&D zT)pMfEwKdHH~XbsHVz)wdOMXxe^cyqbspWty5Da4uO$_)sM>BUrb|Cp85*Z7yd3QL ztlp-*0-qinKc2P#tKOomZfmy`i{lkC-<@dp)ML*HA z`|D*-@&9kr+H!R%$t%UcfbyxA7CH=PBdf1GQ8pmJwd>@u{@lT_$;W>Gu21r)ovqvZ%Y9e#fFj^T|x9ox#N#P773S8b_S{(NmqMm2d-KVJa0RcMqCfCw6T zM_mZq}KISCY|+sQm^EXfjt0R`*f(%@htjGt?+aV zk6jFGB5`RRmZA6)>o8|}js9LmBgG9OU{HBRwRrdlhpN$NLF;5UD(&D?a0R`l(%#v> zj3dN`$^_D*fOGB@lp1}i2V`aRECaOeCHCyv>+c?x&?JD2Qu_7AkmMT``U?AZkNO^vR%r*^$Ob}tvX#O(6s>RqG=i+$~l zj_ZQ?Z0^?U7$Cr~iC0cJ?69(y!g`>6zC+`@xxY@y@MfS{Z5Vq_1}hps#lsXkWj)^yNqbRm-!u z-E7JH!P2S+xix(|dGg*5EpC+Nc2P6ZGuU6Ew)~!WSC_>v3Ytjm4p(2)#1$+ZQE zJguQ+R%0t`U_)Frxhi3FN|Rmdm=y_I(#cERymq)BUcXJeVvHAtp z)pYAoCU%LltzAh2cRIHTCYb=mg4^#oqr?RXrkcXQ(y2wgX~Q$`J#e-dWWNwm-m_d^ zzFr5vA&$yvu-J4i51 z4ow5e?Ar|LZ403En!1Gzv@BhTBDk@Q)y}r?HcuZvnu>VPng~T!481iQi6g%`2ZS%j za2bi6`XrlN#|aqhJ0&gN75;+}YP!T4bs^X}HN)n0G&X_mGgW>Hcbb4@jZFvVWCsHv zYpMk^K6rPPSH=rc=ho_odwwPi$nB%OPfUTp&qg-i21;NDvBIWrhCP%l-~HK*zJlSb zmHzvkI6`b)%dARIBM#!eyI%-NY^LmSC0<*%Th6sUqxMG(x+vR5q`qlhE{svf)377` zKVID#G8Sb?2Y+@JEHDL+j8xd1YRTODN%4^l3-}8G9(K&_lZXiqQ5-&~=>`e&1L9!B zb1Qg`q)wN*NNDHg@3zS=BfFhL6;PulhVJ6F#k8t1pNB6dkHY4tK zTGunFn$x{zHoPl#gYqNnJLKak;w@|Bsp3N?pn`Dr&x9Lgaw|SP&D@F;2NJ}YU%Rf2 z+fm#r_5GV%OeUg+SUH@5ra*h@2b{KAW^-qh=-Bb+U){Q_%_9BK%-`c2Grt z$U00vp$qvbC49l)gX9V!8_aa155QCRQ}95RRijr=Z@~O*`G!NgU;H0kSy0`W_jpe$ z-r=H2?=~V~lm`Z@6nK0}Q4-U$Hs7NY^Tyb=-qi#W6cxqK)P#7PE-Otl(&spPCTQ3lS&Dc}yNe0wpjY~t2_13mjX~AAjMIU`Mcv_g404925kpt* ziy`X@r>1X<{&@CefToejVLusrOy4L}ss!?xIbj79_v&7~i}F^Sl9`Q#Ej`m>li%lK zXFPSUc}1>00E~}AqSlW@i%pviI^An>b8i{4xYsxD&T5x(=%AhBxqsalNjdmic!>wS zx2dCeLuvg6V!sF`B!5EF!Dr!tIu~*wx}>;*>37{AP@)d=$gJ+c)eBh}N zf}YW(d>Cg|J}*~OgX-GVtgM`bzs~qn#FewKSF>-L`JyNz6m>uB*0>tl#kAu$Bk)KN zNZ^fv=2^;7b5|lzO>=yNY(|ga{;!DKNfaQZCbY4jb=qsyv_hNl?4YX1EE~{^*$Wpv zIME#-kk7CL*Ws-ln!0fU+neF|GWlq4x;eQm-XN2HIAuxwtkt$>%g0H-(X9`Y5OrRF zTXpq>jYHf-vUjR9AIIr7M`y2o-T>dX=%^I{uJ{>1))?*pj9(W`?J8Y#=ef7Lr1<^{ zJ=6tH2~^Cb3AQEkfR-A7_GUAH0+9B}Jv$LYJaj$N!|gMPvxapByAv@%!;`HO2OL*y z-#px=7I@JE3v#QIPa+Tm4&ZcINAG;5Aw{phYI9F{8_VV5-gz^F1#bKg|NI2N&TJ&p zv-MCGS@Phb&aFCzksd%boq@F>ewJ1^Hd27T{1NjbwK*i6ZM5fTuDnP0cA&C2?@8-c zT7DAYF#|yk@4<`@%Lt_V)||c5(J~+V3)>(!ZBrVd#%SsBvd#*&0dWZqoyBR_Cg!Xen?t2szMXHhxW326A)1ra zwVU=j?!#VW)B)278K^!4f4&6RhYs`r^cpBvOcp|2Wlr7*-`RPx9t~(DKrpgD7=KxW zq$`QiHxlJY@-T!|1vahecWFYb(;Ei~ZUEf9Mmz;WbW5Rr5kAtT?y;iP`OaFZ$ z9ogQas%=aqoPKxa8ZU05bFbsL_}Q&1XsO?30bDb`Yi5)H@Mfy*$+-f=>ZM?W zNqygFEeonr1Xu|6U;E$}sR6AuCe#N41CfI=fYR^0`@e6TfiR`>sDEmQyuLz1ot5Bm z@q=l1BgPtkN>5l#o$feOFcix9%2XP^n4tr6^(=j}tvik->pa4Ju1Xd}+74gy3i?KF zh6q2*-;!z>OV7$!&gL2%gPF(pMY~r^T_D!4A|H?@JHz#9O)r|H!`*SPBM;$yJ~hfD zj4#~>zS5edqXSvK-xk~LMdG8@_GJ~>Fi^#5m`o`E!)@M%odBh#kj4#rfDf0@7cfjt zfc+KVjrEfLUL`|C)!>@`hu3-!CHnzC6tq2DY=@5Pl|h#9sytlntWxNfIi9bBnD=D( zK5^LpVd2;I2{vOdo3tZ-a2&?K1Cp;lYQIZr9nHfZE#d#u&lX~Wvf*X1;=srBqATLk zlHq`J17l&jC3GPasI7G!UrX^J8-TKAh;ro=pxgGtR}UDVIhuZU=3>f+lFMULF#k6= z%1^E>8raS)oDoEtw>|TIoL(?)&g=({tBOaAGc);ME>Tq!mAUlsP4?%kcFxP;K@uSm$=y@>2gkk9&v!E>B^N;uG@HXU_263?~fq@(-WL?v`jvNTW z5=sGl8_5^e^d=#a)I_KzC|P`>I%caT`pbO5^TIK+@L}517N=byxieRd-Nq3xvPX?cyK-{S+3?u*U*a#iH~knW zGwvE2blfbG8ti|-rZnqqF(gJs~^%a=v-X1 zTkfNiaa_r>_2%+08R(5aA2kn?Ey2${r#I>exf~!4Dv)$4x#&k$-opfIo zdeGN?8Em6Wn96NtdfOTjo(cjf08tfGTG`=HSt=ozc-sjvT61vvgZWW2WD+8GI60=_ zO)!PI9QEanZy5q9EG`xv4i7i#+v^k(F&p+HvrMtc76dn9DABmKbwsJ;3F7^mExpb~-f1Q$%dwkq_VHf^=_@xHxVat9orM9Z1;QDVvWEN&COY7!UNcGslRE0lcbRXF1lqG z^A1hRQot7uYu0B235)E89VMn6-%o8t4A^IQiIRMHJOb10lU&N65L9RQt^FpF2v0Nz z{Flf#KlSB}&R{A#H;et~M9&WPbT25T7hdp2K47w86ES~@*5djb@cH1?r4HzPa+Hg* zsTcN3xcsjko1jSQnr+dJA8hyULx1T_f6YXGSNpJq@=1a_soOtsy#$kc z^iGRs3n?Bp@I-}XAh})Bk#85=NR{0E@&xg!1>+jEME}fX-xydUz*XN}aP#xoQ0_vZ z{J*5R!0!R|&cM7h3irB@febp7ToL5h^IIE*nnnjYvJX-QuWn+Mj>A9ALCEIc%mJ9b z65R+fap3yJrj%|_r;;B2a7*>Zdtp?EQqCi*fW#+h>d4w)01RdR+)%ei4HsJ2^%XW$ zs_x+KNYJ|JQhC9>;YtGCX-T1@Cl`=cv^q9HLsi3VAlxApsfl7u==MOdZVbN_M=vzz z|Iu$&N!R7es03rDdsG9x^zxWptXpC+C8gwel|Z^@rHFLX?BcmYQ%(tUF{2Vw#w{ho zr#q16{4UMehvo7N25#!MKV54S{9YH*jK=Ty;fnUJym_fC_Xkq;&rjeHqjPUj_8!Ff z^$9;2h*x_2))k;m@+JrBs($62)kEoZH`%)+Cq9i{RUAIfLl1BZrZ{o{o7>2dm9pyc zJaBGJ7|2nc>=rGA%w$2G!}RRF5|DERq0wbDHC}RMOJh@Luk>)Ab?gVV;`N7~XX|ta znXErH~xFe3z>ANp-O#}O1g6x{6Ctm zJD#fl{~yUHNhKlcQ&y6Zy;X{kQApWE$hh{kxs{Q!l95fymAxzvY(+GShjw=%AiNl z#-|`M^-*PHxdW7N*>-A;+2Z@bru{T>&$BKDwDpdQg7Fv0f71J8Wz&}3`}!QEo!1w0 z_d0S_4&~aF5BS+zbQ9|DXJ>BFHA~ugJd5^!57D`)=wRgpHMbD!9S!)@Egs;T`464oK_zU$!>tvW1z*L)cQ}qdgk9!-EG}M+OrH+|yGhND8hp zrYDxFW4Yjc_jf|xm1|*di5%k6oPs|*GA%B+DzxZ3<4PVGT!0T19O#sQ`#W&(t<`Ku zol* zfpRVfs+UtMLE}P)qq6vWzic0g

  • -jAMpP#sa{-(*tsHvyaSMbk+ZbgAjyIkGkBhDIjPr!bb&tUl4w?U zUp_TLs>fAiL)0z2{fkhZ?u+8(B`PmadFCac{Ll9C5WE!abCuPixN-`&U2kDSP#pC? zVKd;;ge7gu@4T;k3-36Tzs+jD|JO*QqHI&XwSGK<=!49O?9_-;m+f^hOt>PoQC`M* zbQKczQwkFB>4}E6;|+CoVFoW_J2dyxlb?F3CqJjY$on}hMQgS8E=TgVs|LFWLMYRu zdetEc)N=s!OlqyiSs-~pgIBk6b}@Px7#9obfml4xUc09rv<~&~cUF7l)JS%R|7vZA zdJ)&W!N^d1ATzm)%Z#_jQP0l5ucw9DqxFJTk1k8C8oNkYs9w#zZ4ordMsxYfE+bD} z*@4&nyfIALOvto#l5lno&mngx@^_N2iiXR=Y8UZJJE^b2>YV!;g?64N^RBeyU4fLZ zq}}}4^BNa4o|++L#`9x!tdd2m=hQdV?-*`oSC?G7dqPgW2HNR5Z6BeqDAE(O+c{lz zH@KhzZ}Ez+o3EEq>g$YJy!v{$3cjd@>dCv3=H;EERn~G6VrW~Tz0$T7>y@9wZ#x5O z-Zi>@?HW4FG-7xrw24S~u=$BkVj<@`~3_wMCgtE#&0KXv+@{b#H{ZPX z-q(NLFt}MG>C@_}uh^M2-K!s~YTI`8VcvE}({`TGA#J6hKK#u$Z1$Z`xiGZvQ*~MJ`6Nyr!hVAN z!Pr1HT^9EWE=v6luo>z~J`du1P1#TL1``g0&Z~Ah3T7vrj>2ZaT)=)IC z#i(axv$}e}x)#)^txsYwryE|tdDRWVJmD~Yd)bbPtLeAcPYKh0b1%b7z9X*Ya=^Ph zljJMNwu$^Znf*#^p+WRrIP}+-=fRH5^ui;YUX(EahaC<4@(1P>iHsKF2kO(V4UMyo z54wrdm<>gx9n`1UXgu0{J5}5&Md6XC4sjnH8n&rlPC>Vh)^FJeRf}f`O0|reZZxmQ zm_o9!y|0ECF4zWBz6{0BAmjS>On;PHh*3s zYCrj=Q4&^3fI}|~z8YN97zvOz@K#-lV!sp1;CY0NNpH!6c@AQF5Z({>Gr+o;M;yI* zd)saGx35RM{L*B3u#eBzcjw5RJv^w)L0c!>6~^!2VqE7aeFy!BAAZH;^Pe7k@1Sz( zhl9=E2DLOBjDP-V*hqDW!bY}4YLt6J&afrOeq%J#!Q3R>0}$7oIkQUSvpk>qls9{&TacA2jN$Shcb34|RFtn+jIvp2>5D5wwuFhFQ=;<4Pm-emImBb! z7^Jtnp%>7Tk2p`K)N|ric?j%@GxZwxh~Zd?1tU(~W@9j3mf+ISm23t}g|;BAJLIX2 z1>;!QF1X8{2G=lZ9{3xNdvBH+hTk;+$eCEpE9$_x|4}>a{R<4}#1a6k{d1A`Sm6IQ5KI$)zx3qfzkor8|RwCzd`{B*^ zKFQWdw%gDaFWY$JnWTOk!J3VmrC!K+hFlEfciHoi=((aHTS|_QW!${w`^R>F;@8e4 z;6JODo_+F#tB-9sAK;5W7Jnu6x>?gD*MNQX{OaEPqrs5h4dl6;d|@-{VZ9-tKlr?W z7|C&EuHr^#$|+kV4wXaUan%|GghWypFabvC;PEr7zf!+ssb^N7!N)U55&z{^tJ$BF zEdI=zua2KtL!i&UUUTO7S8Je67llLe(+b^8Wu&p^gZ`rz#-P_l)^LY4&{9C`!7AY+ zPo{S%g5LSqz&vEA(dIFkA_EVe&tzefkYET>cIkD{FaUM>vDYO3!V>Q+W{FmosGekr zVy*UDJt=mePj_FTchVCD?&3P7St)VQqG_cKCHhP+@fb^dN~3aj1b)A7r>YhZR9Z^! zEsycflj)sw5b+Q?Tgqv3e-^itMV=y`Q>Hhp59V1@$@Rs_q7mvg!xOOYn%vMPyZ_5j zhJHrS2#`Odck8o!G~ko83%4XMR2M1+b>W@q>O$ToVKQt_sa~%uvIt@4B35q)bNt4k zF<7^B*hTqaVwfe`8^*T%YF#5v{Z*X0j<@G8ZBqwo-%qoy#xyALcIGHEb>7>YWAlnU zK@GLPq1`%6ZU4Eav?e$8r=hsvj;TMjypEgdL?KUHEhS^VaN~LC zGE7LJV9z*d(UTAJbYRG;AeIz86B!W^S=B8v;+J8=_q{cA*s$Sm>>EBzE_!xhQPH!{ z7vtY^|C%&;@{|)_PM$IaVx;^Nn^_O!TG7@dS{^LQ!gLAQmyq-cMxF9uZkCd8hqFkw zj7jOZ(Ss0?Pz2dnuV44Ry<)}p>MW(b`krX8-r2O3KZ1cVKNP(Cpd6w}{4O#r(U6wf z?Y`7%JT=5Ju}Ym1k`?w+!=RCkZ*;G!s_KS>Gqt!LD77vb1m-E#{KPSsT_R&=XE zBHUfLh{9|tE-{(fwF@FXyQ4lcWaR-rTd>~?WY1*dNOxx>HttU_$37|u$G?I?dcT^R zk)ArXQzw`BhV0e5hYZ>J`mw3gju&>ylXGHXD=K4ftw?1>Yz%v1V^F(xnOS2(+CMdC zc}>r=|MRaIP0ldws9dOp%#3I|0vePj1a4`q_`163->f$t5c+PGHA~zMJV~eq&!N13 z6Y0sRR<8M~2T3#Ry-Q-#Zr8D2z>uY9|3=y%5+8fBb978hbm!u-vTL|~s&C!S9ewLM zB=sDelro@y^Xmf!G^`H~%dzBzg&|o-xa_0dxloc{P*N6{lG1fdw#8x@Ta}O;6qu1& zqg}gDGxq(okdUkq!6CS4K@^I?YcO~XrP<9VlOA$GMk8dN(Q?dWImBu<`QRJMlSjFY z=4X#i8`G(iYlq|%%bGrQ?`z^L?$qgL$h@GS5bxq^n*swNNu)Wh>^67#*0Udtkw@Jq{Gr4 zxeSu#I=DhIw|p&^EyI_hutF-vcOU4wkNJRpI0nc1VCfvfL)=nS*!Knzw~JyOfG$A> zB1<~uZSrT|zdIxe|AxF<6CYP2Dv!>adu!hO6-yT^xUFjSk3!k+P?ko&mg31wxfZE2 zNA--0kB{pK3dr|7R8*Fs)Pe;|SInPxYwo;9QSU^ww-9-oVBZ`$yy)p8m;g*?j)as_ z;lE|s#XTvsJU;&F)r{OuWpj&)kpbJDvJ3g|^wigs{tokXp6$ON^QT2pA$^n=752o_>vS0JoqeB7J7)@GDazA zoPU5HDW)E8vB2|nRsHSPP1fvgP=8SOvoaRgu)C&abKR!BdpFf>uHn~EsoDT6nSkgay^_36PEHr*3JkPO1@iFAU;-t_M)QSoDawwOO7m}&PTGIIqUi_Dr z$xKQAEIf@KkbHPXEJ|_4OlEOYNq*!DmbAprK0CyU{9g#LWI4NrzmVeZmzS&lcf^2U zBZi-u;p^+YrM6ez#12z3OITo0DU#t$I}p?HOE!`>9xfIAO&vr$jcpCNu9c(#-#k2e3sX=65f*|>P z6yT!?P&%5LG;HLEuV*0J#z?k_4Vm%vh>^#}ANg)lY7tB6^z=B7m?#$CJ$}Y~COLa@ z4lHa7vB+M?wy2*}l&ZIX`1jJ>2=UV$!v~0pdd|n^`Sm1AMyJ=6YWPiF_`~jk=*R1$ zGg*P`VVx?DvTk_oHFd#uHd`KmK<|(0Ia|GYo<-H8JUKQ0Mw@8G0Z~)8^OnGt>1x59 z8+-0xHbj}dfcXr3qhHyR)lJzM3I%%TB?jMp>hh5zM_ zTg>GoK4|>zvXvP3!TzOy?`R*o20*iY@Sp6-c#-1U$mboj$3oewqN6;J3k}%-lU}|Z z5z%Y3C7b-S&V6b}Pw!WkynlCnTI%7C5fqJ%?mjZdGmfdd4zgdF|2vk+ zc$}0oq%H(*0YT_7%Cp&O=zHbTp$jDC9fHw&ko9^5#*+t5Phb5Oml-kH=C6{Vg(xmP}@ z4xVs)yt-A5?H&@sa-sr~b8}LX-JHUNU^#vTXG#+IPXP85N_eKBYr?sQ@S=vb`3dFvcn8f=19 z>qz-de9X`vb7VlIg};o@A9~?(bpFazLKs?Z!A<7OsNprYpHrX3rev|Fve-2KJ~69) zcKfH^`5(3P(`6s4rJw9qo*y$-z1E%uwZA)i>=@RqeNlVsCi+wQp=sS!{%>8=x|Us1 z9lh4AQ%l%E=G4@L{?tD;H4)Fa8w~r$7r?U{aqkluAp~L31_i|Z+DfeU7w#p1p4Eum z(K#{DhgZ}eB=vd2(55| z=j3Sry>e(L!YhDctH;u=+-y1KsUE{d#JRj{v@?bODRf(QgkX-gq|@Navfx7&pYgO5 z?MB?n&2PXBzz6b(aj&e?;4dbtchn8tzOEmJMza0&i>hIv4U@kZ-1F_>3tsOihSaG( zB7OBrKlN1FYx9S{QQHeMiSqkV_we?i5gtcxF_El!_a1Yaj(Wz#xP^Niojtn;+#w7G zdIC&&4E+H+?t_tlh&RkH-tjp)a~HPg&anjuvCdT&ieuDas;Is>Q5qu7uzn{-T30?} z%@(Vy`^4kVa9V+&^$=)LjKplAaRuXw=m@>=nI6Pv<=MAYPi2Vey+8Nnf!tf_{DaxI z#E!G3vu9{O?o!`5Q=h4yGtGLF_3Jll8jrszIQL_5{u6x`i05Dj!+%^z^!Z(|7@qdb zgWAf$?BiI{Y8G6{ve4{}A2ZG9S^>Hc6%cnuUufZ@WXgJ}tvv{dA+Ie_=BpAEqv!8U zbbW(;$!zTY)z;WfmLA>4RTlP0C{D@iUNf#B-E5kY5D=EoJ3TwNeSYbmXIz|K@$`rc z4hT6JP?(c9^W)E6cxF(aUhRWRVuloyRt@e}kd&I96;ja7z30Z2J$hA^EUskg-ax;& zo^k0ZLrS}5#D@51r9WgX2#-Nhc0aGMXw{M+e);0?K{=L?=$!h^vxhdNWrQHp<-=7Y zJDJkDRL!c1Pk15JEF~D6yhB3@ipwiYB8rOg#|`^^(Uet-=XaTwoDmr6?BXBn8SCrO zr?_Ou;BF<-*p`nbm4;Zn1M-Wkpw#}@Z8JHOSaZSHHFAuF9x99P7H)dC4 zcA36qZttSRbg_T7e`rj6pfCGzDRVC!AF}u6?)o7^dhfmb@{5NqjGu71C~0h6$@I}R zEPDKs@`Rk6l+I66Tm%+fc^o=tKqR;W*+1wnbs8=nKn`3*n@suSh0`RyWC_vFd`gSX zjEzL6CNSw?^|22|z9}Su&>cvGrNFdkZhef!%OFQ1%PZxMr-r8>z(#`%em`#9j^S6rlj{R{$csc{i?89~ z`E!};+O_JXHR`|CJ;^@#H6%W(LCuy_m!*%6{&CJqCeJ}y`G`+!UQt!zsv~|u-D|6> z)ORzpW<7N4NOpXt`G|k}nyPFI%ZrWu^*dMBBN5S6=%Xjpe<@Db$B3Xf1i3r3Ctxzi zczMPm!Lrsr_#4-H5St41Ao<#`%cF8~w|@DGdYOf8Ikz>}GJ0^&fu&u`JNK_uV>_k1 z+ML+S(%!>}E2q6ZrXFDP*`!aVy1jeI=+T}`u{q4xvdI`4*W+=ir$^N6mK)0>!HeB~ z(#>|58~M738__^z$ek@@G}ZYqo(TPqz;(c<@C*hMMxie|qA#(YLM~P#Ql#RInn8+% z&g32rw_xd)-L6=yIq8MzSKz<7Tfd3rn*P{G;^GqcA zFfjL3i%H*DOTJaV-FYJ{!SUWQa$ zS$*pk@hIOdP&x@8JIWx!BDE<+r6Yg(>F(ga6h`q@zTD6loqdfttCz+a``*qXamcwO z+ZAv7!s%s$jPV!??Ze4V$1Z+8LlBx0K=WOE{VGg-vlQ12(frJpcyxu6zD$kr#I3yk z>`ql_R$AczR;(U!d1CaMJ>Onl)_ZvG)x*a$_q%q+3{UDH3uHlq8nZ@Do;)&lbl;lg zrPtNpnEUn8hoz5`k`g-(?&dm6b?f3$wSCdE>seN6WENw={_o#;*N|zos6Q7)Hl1&Z zE>Zsz8u&YV^%hi?x5GII?Ffej?jj%#6zhovL1ut|gnc358JQN~XEsIP3bpZ zItQu4KY2OiS(X*wBl(?8Z2A5jLH|&%nJZGxtiOHn|Dvt8)C)Pc-Kt81gIx@Pi8pG#_-Tn^^<~IDYGLZWoI6upHWWwmhrA|9f_Ek6|yFi9p894Uh;&)cA zd}rD(6UKf&PhF{2v3+dDyzg7i`ugtM=c_Dwyr^^G-EoD5rH{i&dqH1p-_4NjdU?O5 zo>Wi0=FRtanz3f-sHoTzHc2OFw@yGj2mCC7czK*g$So~nZ6L$`(p)Jc6P+wH;?;!L!+1S~*ABei#Op)6PUGb^s8|uM z;=}KFiGx5HRGmT93%_0U-vRhd@Q^RDQ|*$xA2)dg3sS<{LXc-lD$QeBNCFStW4Xx9 zCuGFe^!n^4E(s5+tqlrii;_BaOiD@Um?Uny`|UrMy!`SKdAfIS{j<;Z4e^#n7W8fB zrJfD_z#-wL4Vchwy?b}7=-s>G3S+A6%2n0MB<1-wgCQ*N77d0wK8DPerBkL) zn>uyc^eI35q1N8I#diNeb1seb>)uc>lYRO}s0Uk@U&g z)jd9>tPd+x4|}ic_xv{NiT{mt)>ZTyUHV1Th(2C^{!=Hg*IOR1^shLiI6atqu6rwx zmkH+zJPoWD|9gpgTA3wZ#_8b0IA3~0(@%jpDbP<7=_Ph&lLYAi==H=&_t%8VFnJOO%1KAohD&XEwWI` zE~H(2Y+F@yQcQYel7F!1X)wmeMw%l7y@Em_lTDW7vV_n?IUvw$-CKQYqTmFFsU3ej z_SN)?)bO~>gv3B&Wc$S8(#W7d-{`RedL@;HgvEEr>JXW|tk0J12NIMErPkNj$m0tl zVq;Sx6Me&-G0}#^R+Ub_dg7BMD?5Z2#3q;xrdW@~T|={rx^H92>cTHxDT>d?35qe7 zd$teA4b9Ezvz2*>%l&;iLaTN7qhY!=B1nbis}mE;yCzN^p8Nd6MI|$HKI~CZmf7PyqxyMH(o@HJ#>SPe7HsdXC^5&mR!kAq zkK=NZW;QH}@sICdN-2r;^%ce7;N*r`nFG5{oWZiymouZo1AUVctK;L+Qm2>psJ;2| z>Vp3L$7jwdHN`Hl-1L}JQI=Cbbm5GLUBkV614G_Ct$txW78qH-QB04F%nTngxT1XS zBV$KK_XrOz`l4(k#?NQ4dlYY^Ii2r2^Z1xoEccJJrKS?O@9yM%*qz-bX5$>nKw7pxH^=R){Ro#2yTvyZ{wMM5;q`IN{+=(~CbC4QN@VM;r< zuEmp{4sflVi5^*jZChkb^r;47F*7sO&5zz9l91GYxV{E{@8NNQme-Xx%JyKISXr zCRNIm-*9p!jY~sYIue_t+LC4-h(}$sW4S8Z*~B8Up=s%y1&be=H}Ck$No!B9oxL#e z;K1?8P4h#?))!=zl`-dv~N)ZtOmB)gLh=_oSC{ol1 zMIV)jsHl+KZQjr9_wJHl`Mv-5{l6UFeCy86&d$!x&d$z0@Kt0%(d@qY6NfJvQnBXb zLvzM$8vfdV-@fPxqbCs26=7Ubh<+Vj^VpG)BuF$+bLH!9C%{IKHAz*35{>Ut(%fH> z4u;oS^CTE-t*06m-D?>OK2Xxb8j)HM7TzQB($VM)9~13J^&M1t;%mJXkRWIw=rm&T1&t-vh4`+0!9@on&eA?KK zho2AV%9sB;Gpxy!L1E1I*}fxF(ic}fvbsl~ZQG>8g}t8ZQpK0@KUf88y575UUmpCp z$X{nh9E1622NsHpjR9sdlmYyN%b#n@9NMOk49pk@>c9m?O+KM-Ky;pCY^3zABfZ;8 z(?56+|2~-hQa8T+7)9!l>%Ps-%F3QLB{wHWi`v8gJ8baNyB#&VpB_AHmotD*ZRb9H zSRS@a?(@XsW#Glv(B`pz3^D|oI(AoJ(a@tIM=&AE4oW*-c8uWV>=)_7+1$&~Znh>m zX4kx^7S^;@JJ!68LMhO1b)N7~f)r{Yw050N?A@2zj&$;Nsg@w97X&d-Z%KirS?6@G zrLmkx%G8{ksX2GMA+zvfEUr9)_jX)A#xIsf=nt?~`}gxt_e&2rmdINsou4x0ymZj6 zllGrp`*}`g?PB-^mWfO0(%byN$&;*)WAJIpgW3V|WP$G}W7(6nkN?X_)?|%B}yNCI&%y)CozI}Uk_~k=v z^IKl_(VThb>7s&1umonfGJgCOm=iwa_vlL5wQbGA+xUCZXEph=^H_TM!4Kxn`JlY4 ztna}O=FI(|yyEu6E4*g=HeP#W;>0UV-L{?Sub?g_@=Ud({5$4jV1Z=R=+S)0up}B> zB$|}ywn!>K2mn>5WHSo0lPsi!CN`vQ(*u)U{(Q-Uow_|X_qnQKb3jbhguXeEEz5RP0i-)=gx@}CL}s}%<;obhoeS%K##Bi zR>!E2*#1Wj_lG?Kd5+|W^n*6+5A8ObB9TU;e{zmHF!~6TqJtxlX@o(hAqYkwV)rLB zBjp{|hHtnN#@F$Y>`^v~jbocH*XdpSO?--u=+F9_B`pY5@2q^Bou89lNd1|7cHOek6*0xdUw$(v_R~{m z=N6?D#C2+6@$?N1PR>lMNJv;bpnrUNu&rrwT6*&?%U@z6u6^*twywRVj$bgaTXD9f zS&Xf-KDJMX(LIaflGLXh8I${eu&vk{XsXq-AB_CDR}bdLr>EsKZDCCg4s2DtY3r-f zZ=s>Bk~>)}>6XIa_@;S77SDJh2|HTmc3Jak<&fkXOIEgRYR&PmtZLssIu5ibMSn70 z{Tcm9KX3_jG~!!-VP_USGTaU|hIUUq(t{8b&gGPYd1N>LJBbmJ7Q(R48TBk0K!fr{ z*MR0lp@T>C@Bh}rBS%ebkA2IN+P6w&-R^76ORuHswY7#L=J&N<%hWX{IffqbBJj_K?(5*>?K=g^Rl&;uD^B|RhU2aZY;viIH|P8rP9{7JzH@8ivI`psY1Gq(K;5H^D_Lj&vN|aP-452FDy6 zt8hGuV;_!x<9H9pWgNbPUO_|l!)%K=9V2I7WYi2t7)H=WU_&Elqwy7Rl()E+ka-Z0 z2*UdiJd=>@n2w%?;%TTDcWX~E>ZZwD(qowr|DZG^lK~q7Sv;A=X0Tw2=;Wx$lSi@g zc`yCIpO6X>I4?9-nKGFT!y<>a{D}t^@+VkZG4WbeHQw=HHchcQeponk^Jcz;PujDG zZ6KNSOkGp;VM7xXrUhmmVR=Nx0WnsZ8bg(n&C!PW9|**xkhJJDRm=mhG#h*A_~AkA z*{r=ERt^6z|Lky=#>Gb@=Z+e@Y(d)8H-1~V z_|A!mt0ugyzPj8J7!uJW(8DLFSEqi%gF{xgZq_8CMTnPgK%cylVSWsHkf-A`E53f6 z9}%M!ou@^AukeQ)rw4^~yo%*&A=F)<7`;IG6yJUw)to*vQ6 z;Hme+!VfRS?03r->o9^mp!4ZePc>kyNgX45j`8*#YZ~Jpge4|7E>>TxHr_Cq#XRO6 zS`LQwbtl1f>85n&LW1`UMi1wqzK69{*l`Mk#QZY;!j+T$rYMVN&H8%(s-jf~rW`zg zPV?)p9mm;=bz!$0Ye1 zW2GI`=s$cg@t<@R7%D8*$hOQh_DOakqHNcr{2V*L`{3}G$MUIcEg$#eo_;&t=D*6v zuY{}`+_lZ68H=y7gwrhH^5^`U&-s5onYx9)HTmHp4~CH_=B+W7qjl0|J*|_bd-N-t z)sGRwa~k1Q_Zxpj9i(2Q9dXdc(B-jgPvaEry}O4M{R+J{ z*rZlXt^JF;Sc<##dg$4Sy}fN)4=kEZDf63gPQW zp2}EDsdb7b%gMwk5jht-b{O5 zhLQxB0K`=<&|MBncc0#0m_K^hQ02+Vm2)hyu}R5IyX6%m*rR4m?^D_`p;_o-m7`T} zi?wr7v)JW_SjIAG{-&<^r6V`@8Ix#>NeJHAYKj5(Y8S48;^ z9yDj$xE9TuSuEzHX3gJf(KIFJ;gx5klHji0D$HSt(eceJp)I@3obz}>%|}vR+VWLh z2l?t1gU6|?uE9!-JLdyv1ydiR~IQ zdDND;oZ?>A%+NmR>DKTszF^Un(YiWM{>Z34eClV8(Q5m&HxeGpGwG8o@rt2oaJQZY ze@mWq(ekwAIhM4zq%d<{L2=ofPm&Eu@k9E|i!FT zqz!B^P*A8SXv1Rs8xcjr9n6&|<{(RCP)cC3B`Jkw_{312t?xK!3+ujZZ1JQaYme}` ze8;Kx*r?;Lvr%Viy9Wfw>jMjhYTcw_Ffk-1V$VS3*q{J)+PBfES&clwL_nNG7Oe~ zFny(AUt%@Q0!7nl0c%VMQc;v%YXqK!lBc<{ zY5wr`p)G>TdC<6*w`?vdEy(Q^-#s(RVhQM;>)&Ez+tFi|zV1C!ifLX{UMh7p1PA#h zw+;=BEZMwsy=Pa^9#NqR+`?#u7xu9bT7t=*X%)+mHSf+h?!#?W5bqyW7v z$;zE~o9t+vn4XZB)NjhdzU|sZ#3jdv`T7UOq{d`LSS*plD>Gud2ezA4{>F|)qx$zP zDTyEW;KIG{R1ZsN-aI}wyh&4oM?%x!oM405+%&)z(JnXCX6rb5&ZO+t&6_G_<0~`f z#wQiAME35Isu8I??2RptlnjrL%V-lGrG|UOw+nASan2TLd!(f-vS6y=#j!mm_uszu zldF%iHrM{MWq->ik?}#Tf@#0dX5+^g^X@l%o z2-(pRHyBC;1=5;at0j^!gGn5IdSD26c?zBhgQ-3#SowZj>lVArfswU$I$L)7heXLu zG6M1(AMEWUshCG;72aI>wBG>bMSBOEDg0@Z-sW$88e70ebn}#_{Ksg`j*u%f8s*mg zTV4hlwZbhm=P+g#vp{X{LxG%3+odLn+(YDL!QP1y%k~Nx6Xoe!X>P@*cd|TV3W#F; z`J3Yk0^>qkhBsr~$AqiHSK0!7n=Eo9)#)s~vW8Up*#g40`WxhDCT;H!niZ~K!k_xT z1F8`?G{;R~u$Dg@^-PWO3^pjIl`OB2&Sj=hhjCm%K%0=*@Mdy{2mQQSDG#=ouVrD| z&{h6q(!2=-d+tCO>4>-Bt3>LsdQF;yhZAdO%$Xyn%mJMKb*Bw8)YH(70GI_Cbr$D5v=Rch)<9UQqp*hG z8mZ_oTmP@%-!( z^RD@xPs>HHA55T3sN>U_--_D3F1LORJ>TPLEQz0I@3EJ0XK`4ck{8(*v2K_hKYZn* zD;z^i(%TBqj>3V97lzMb4iz01x-57d!}^Aea%t0N(Sea3<`hzRi7vtL%h9XtbJM+4tqcfu!qXuWhc!$^%!jK&m(r#c4Yzjd#amY zvnkmqODbAVM1VOUS&}8pZpsiN26lJvrfmiD?7J;D-e!E&#GPx;bSmI83$}kUqfEYg z(0&84bIxJ}duR2!vyM!*o%!+g{4{^f@s(7mtCKQ6BARG6ZAFZA&`Xd#5*-Bwl*00; zbagleA}Ew+ z6Fy774tt@igrRKG``R=P>IG)F;={XI8qj9@3k&hSx|db+O2+4)0$b8!=O2a*BD>k z!8aZR0|loK)jNCuKY(9UIZi0mbhY5MN?J`j>6g7$J{!kr$x>r|$} zuCds-9lQ%OibYNiP-XPQG$#WaauM6Y`aJ&F@V-sF&6c9#1?ygTfgj>yrN{5QaeUJk z3t#89JG<^kU!QE=>};mFGC=(#F=6`1r5SmpgZDkSY{c}$1RCC^DsxlBEU4Yr9P}hh z?%(6s6q=?KZAyhq^2JEkMssx0(Edcm;88>sBe#Pz^a7fp5*h;O2Wauh(VAN=DUIx_ zgE!ikVmlse68d6@6g`9O;vezB5ra?8_+UgwQ_|B?uiu&t2kj45m-i)0>)`uq9VxqK)fWWkl(_Nyy`&2koB*`nFP z0SoQZnl%YbotqHaWXGiEJN0B{mhr@tJ)Md%{X%jIK9$l1(A4FBX2G;CDm5BsHkOS} z=i6-09(|VIWV_ME^nv^uze}=ZcI{4)o?qn!(kCLl5BUT_x>|@I(y+*15A&K{Y0c7T z^Z!F<}_vrAyK8%Rzo#(22bI3y8+TxkzOko;o*h2n|hk_)ZiJg#}L6$VY6)b+%u`cbHXE{!F#}W z(hGJXz=5B{FbqGz$*P0(+4J=5G0FHhX7=8_&?@@!LwonSo;>pm z>%+FJuD*Bo$JKn{>L2gkt9B|E%l0@`i-g4KBbGh5Z_l!&Bc~@M*7o?}%P+pOPm$Ms z_r;e#KrRDM@Coq^M$-}Ctgl~zK(~mAEl*5xnV=BSgqI1|EuoUpbxTZbdE(H0`2Wvr zoA7}(fs0KTf15yE6MSGz@PReK2i621SQC6;P4Iy=!3Wj^A6OH7U`;L`SQC6;O~MD3 zaH1(U!Y}cf?iKV=@d9B6QbwqGjoL0_(!`8pRq`A*eFVR|XCMD##PnfcRX3jy{qwQ^Z6$c6F{187;cSM#vJdIh#tfL-#kQi^P zkIH-SJzez+NMX*=Ju%#gfCkII<-=-5xx!aa-)@~YgCM$ zQcurZDHp}KA79Me{T05h$A^r-m)(!A;>H(O{owIsz+|teTl$wjf)aNx6>5G3VexmMv>Y2cu{v}=|25_o>o>!j1gPKqy8oAoaeKe|n+=xc? zj~mg*^;m0ge@CN64bMp^bGb%5(O!`{j20JJ7V@_aSKia8I$M zs6*VJsL7R%i!4+mIM?|5XskrDur!#-)DsOpx>;7hC z1I$RqxMa8qwk{z;1B4ir(b%25A~iYw;T)`HZ;lh6>gE>KefEXh{H56!8p|rc(KwAD zU@<44+0rzT;rK5>*u!oRytQuOK`?F;Gyr0lBYjT4U!F#qKQmCb4pW=+M|K~$H&{(X zXRK8rJ+vfr8 zo%BWK<=o_j2sA~#xbx$k>?ZHQMQ3S}DMC+=K^L-mmIVz;R1P7oS^jR)G zu)4Yptlo9o3A!w&owWocITe@t$eOvM(5v|cZ z)xH~_yY&~OjfUc&sSsr9mcDNE?QMA*-3#$P`u1&+uS=H@`MP=oFl;g#A#ZhmJqG#K z5EdGJ&tUSgalXvtl9FKfAo=4)-zwGi(e5H_qm1iu#yXj3szMjq07IC|L4>6ndy#sy zefMpWv68!!a-fsqvjEUVzX!#Ym*S#v~^r&N~Z=C*XzB#5puxj=jZLM*WV7o2eWhX(sNq1Zi=Z` zl*_4`X?SSP2{gVH^2q7J;2eEmAe;;?A*NC6_Ln-PWX82_8k*21F0)mLso%JAj zA;VTV>3KP`@omU$4I87sh7Fa4s)z89oc#14Y_qVXkkhw7L5%G{3R)3@Uyun4{oUN= zL{m6okTF_(VpU!&ZiG&RMyT74UtPqLdRYS)Vi(y@Y3+&HG3k!QpgLJQ{@fikeCR|Kly>zE^_Ao9 zGBkE(dzyz>qr5_!g?f3Z#)!yhTbqQa*3H9BdQb7t7SW{XC9QRD^zgLxk7*em?W1~n z`Fc0^_Vw~q{UgI$#vqBO*CvhWrSBCVbCj2lkC%^c8*8-5Yz~fyiZgoB6Pv%cddbO8 z8&$=O$@5k*c%{cbFHd8un8-l0S=DcHR;6fvFQD9|guT zYgmVFH*=Yvi|qW37qIBa%^R#=62I&wE#TYh?y4`TUuY3IAtY=N8UYO8)v&j}naR^v z^SAasIo4s_S6!lRuHEtq(Qt~J`u~)A#?hp&xq4|W1d(?OCelhLXEpk z`imwBFynI4jRn%ILYe{2G$waZOl+0(fE)Fx%279}c9;lBzV)v=qsF11LSC49b7f^x z;~Yy|S+TX)47|vlnS7GctwOp1&UBbbbn!ATpO?W$&sGr!g+*ykJKCio{Z=?Jn z@#ek3Q<;i`z{z}#3uJ#>pk>6M0Ej^ybuP=2~# zwne`}ohv-6tzcVoMJ=IlZJQWFwV`wf~s6Zyv@|0lHk0~%-K&b~2H z@s0CwXWs}Z>4!%7EO*hWF-|03f7Ue_V@Dij~8_S?5buRTUeCX{ZAeo)@Z#tH<{ zF(Q~Q`per=g5Z&D@<2p^LszNEq!)C9^pWaH;dxF{A1k`?YuF_qJ1PR6x@LPDTGymz zSrK7bIcYsR9qd|^f$OmF9H;i&HZig7up!f@@?WM-A2LkbDW=S#?q#K$veT^L;Sm|Q zDJ|<>l&LAUBPP#WzI5i~5&csV5>oo(Zs~H|p*}YPN7;#E+TY;e)TKocs03OWXjv?l z5WGHf(JT*q4Xs+(PWE(sPaMz zPJHLoPc;0rUNXgHw~=a&3my{rHpGwAP&8@jYXL>QMs^ZF6FQs=H;ZOgkw4a85H*yQ zWSgw2TLC^_V6^$bHp$|Q2A@Ez&%Y?_h(jT>%G7Ik7er6+F2ubjUVS=zFVZ2s2=WaY z17@zeK#WOjZu=e${zz}`{;kLzhQ6amHFF51HYP9@UI-F4}8l6!?U=?O|Fi1gT@SWUz}NnXrzbMu3kXw!jB^ zn}!eQ(N`PWM8j#xX{XYtZzX&hCHYb-C(KqTr!ZcLDi$>V4K()$UGo6*RdbL3`)c8GFI=3zp+(td4PY2wL=b3VJD93b&YdG*&tY5nOL+a`NAe)0Wxx`D4Ujn;||Kk-(ruIaX+bNu+$T%7?flx zoHGNhaQqCiakhPJOi6Rnr{92M!^Wu){dijV>tI}#Bojf--% z)kHNQ;G&b3KgQOv;6F+qlIG+)!G^LwzV5T0&tAi4ZtT62Sqce>>fY=5OtyM`Zv}1C z$v;%LD)|l)2BI>ix2 zo!w07>nZjFW97B>=cY(s&5&AGo^ymvkxNnUFG6Q~K{=(Rw=o)0fu*6MrYLjl2d7G3 zO_y3#op*#ymV3*0?FT1IU!AXVT%1V{`i!OYI*a;(+CobYhcN8k0ar^{5t5a!@Bf_j zlY38fgiUvRT6JFfYO?(x;jgpky|nbvu~IYv~{n4L3G^?>1O zUw{#SXeKEZ(T3@4nV~#Cv-Vy2d!*pA#@G=zZf0#S=>k9q?jsNkvwlbPDc~L01HkhJ zn@b>ALej8wD@Z-DgYz9<33Ug33u{`*dF8W`7d@pePDpopMz#PKE`UWr;s}CEk+uT% zchjDwFIiKeD?y}x1t{nv=^g& zXsH42t`hh)OeF2)`|Gd-mAWZ@hRRI5A-n6t1qVh4+D$=qca?IBy8U(PRgvy}mI7>Q zG{B<60~p}qoI`TKK)t3wN5=L=uIZeQ8zqt3@cm3z6D3NRN>n0T>Uo{)T@cU^vravm zjFt78wPy3-4HfBnzM`~^H1_*+bYUrD^;$W}#x&hv=#I}oKcm!!5USt+Px8vNun#U= zkZ;(VuW?+HqUb{IbK$~}ZyjT#C@Bh#c5vB{SStF42lO7!^fm*wq%dIyl|0UrxW=C= zlP_EVkQ-~HD91Irp!~Zc{}OlpX$WZnw$<`ij@|b?J467bt&VGsYb=_!>P7x_=hO$# zH)!~WVCAgU6s_eit!(@`8*yKG;KS+0pX$#~^bh2a3M2v=m!%(<*m4T?R@k^uY%X8U z=B^no-?(sr0!E9%(M1E=cxiC0K^9^Sn}He@$V7g>(tl4&Gfxk>aDjbv+CKF(zpBwz znQUJN@P~{tr!13dy>NWR+Z2;E` zEt4i@>QTgoMsSM8zD5FjWx`SW)T8_-f#*-Wc!#cT3j}@LjwH6M9@8~IUzxjQOYL$L zg4&uJZ-Nh7jPQaNTw;mV2u<`(3z7PBFdNwG8p0QY#XykXiQu5n;OW!l8$1h+U`n=nS9Pdit zdB=hA9^C4)l~Dm?P+=K zX%?+zB{K1&^3)7sUx(6&8A@8_gu2O}p*6FS` z$U227Co$_ZYt7xei0kRrkRmy!Az^!vb+e(th%y7{byC4e2^YRZ3z9)j3|+%W zCtTMk&#Hv3sakWxMU)%bjb=@~0h(yoHlT}^i<>sof1gDEore}rGx{cjN)pEs#1=p* zQ~Y?PJFCW)V*UAJh$?@aKXw#f&On+4?lkB+sIon=)N{+0*|jer#c`yp-m>NPQEU&H z&oMxkMLt>@A5ALRw45kA71<)Kosu1w&QNmu@ht*^D_ac^tI7f{kkyjQCm6jhyo1F` z39O2el>+Rw>$t>I9GBSAAw$odMI;_0md|{`Z}XdugHms#WxC<;@1!{N7Tp92`~mbt z;1A)gXoR<-5#EYMcqs(4A7LtSrk4S5z>{_{nz+|*kizRFv z%i6BUYF_aABTwxgJ%7^pixWrN+IvO}*;BfpWo(y>Ub)?#Thk9T2HoM0N`B7HxdT!W#ZS3T zt9%>->Co2tuvBKH1AOyZ-IL07eLM6Z!DPK*2v3Yv$5!ZR$rPno9C9*N#hIkqFTz-i z!w~j)SkL{#_-|~)FrFbC+A!8a-)=}v>mfrlxC9%UqMV_FGz;W2wC*eYTon;i z5ivXo`Dk0x7$t-#MTep7Rb!;3>xc}A)qUu1f-$jxcIk@c%&S)^W2Nb8zy5nG z=0DF@^BwPxieQVbb?f>no5@DJU;C6ir*Qq+O*?mPlKyL-85Z0{yQw02LVbqr{0P>9 zNzh&+4nu)C#ys=9?jhMB3iEh43NhZs{kz$6t{i=2q55O0JopV9yBU zt(x3F!=tr^6c0ptk9BcOJLEX0KH@mX#>r*1xvG|c={DEd^;^}?Xw6M@j0EP!3MKR% z&W=`?-DxryPb9x1r$&rC{LULPbC`F{o7FMWq};9bFh=IjTChvHWv}~eNF}RcD~}%Q zUv;lT2h2U!OT@5*OiFe(*&`1g3(t{D+@*|^Fh<2Yad*j z!7FrahO@8{habWRQ2<@KZicfz&dqVA_ZFN3aJJ$cjB_iTvAtPhH0o0eRbZij*km8n z4wx^kV(S9f5QGj9BAppF;K(TiD)@*=&A({DBKi6m>>J0~8PYz7XN%9-?kAuA3B{FC zdhjMx-i}=Znk1vJh$A=p#DD?!_{ti-^4s9g6I)6i;fFYjwsfO7PY`AsbPmcv)4(tb}g8dA8D-hQ0|%{JIy4AhdkC4n&=h^S3YRr5VotI5)@Hh%*I5ruw6AsQ!X*cGVv>ObW55 zSV>l(JQVw!4w%D}a~KsiO)IQT89r>_;ZyJNM?c~m^@lx@CePr_q;@kL<lKlLqCAb;%SNxqFLkj<`Pv+oV4IdNYFHmW}cv2Vhn>R6Uyp@=p>1(Q3t zlMb;Gsz3e|k7buwL|UPJ1sZ)Kgng{?(4={YKXg;8z^heS1v1@f$kCq4cu?3IG-Zfj zr325>5aqPILK$DX3B0p~&%%D8Z=rt-%k$Su4#lpk@sKAob+XO_uAH>rywP4=os>Wl zlzv;V@8e#_CcamF>+VbX*n5{WUfIHD0L~j49NBJgsI10AoooQ8dN^5jdqRK)#I;`PxS@Kb@N_Rm&^UKm6-7^Z)VZY{+Vt;SY zBgk@Dm1?+jw;Gc5GGy#kRRP|x0MhKbrq^Ofg<+cf(JjaClGiQC%kjIzLzUR@YBrqz zt6DmG>lV^NOslj%fQ+=|v}i%oG#D6F0mIVS180il?d3fCQABS~NH>bYLoI+-IOsur zy4K@E0}cuUPS?I4V#NcL*btY-4&0<(w{G2Hx48Khb`}3o{p4&1Zm#BLcB`7*qHzZ1 zOC&5M!CDqG&_Qohw?oN6Jf6n9q+;$)9_skzbIE^%{*ikVG`jtQ@|?h&I_dd{7X@83 zI>fy{G4`rnK9kM8#pcc=iw6GO!UJi^m2+3wi@fmaxhuFL!^YKfzyt78<#Y0fSUogV zx7cxkaM67v>7{gel~ymXtw_26c)Sv)UOX%KRP3`VuM%6);`^eyOKN}pVQ7F8^IF0E z*OR=7Dex9N>b*R@u=LqW=LP>_PY+MMUXAwh^f2gEZ`~^lt4f$L&rk7&_plzlrOtzS zc!LA9{e$e)2*9O<+j524qO+=n-SVKQTOc|#34<*U1EiGhxk-Gz8-mjm=<4ZNu!h@~`44X_=wjGkeThH@LF0d<$-~ zLJBi_%<9#B)r6H3yE{Twk6SsRf1AY0m-9OHO@1h~+mz`iUtKuKdGr36U(cL7^J{KF z|KamVeghZv7I3j(9bXzMi28R7sYT?Bzr>8yP>sk*Ek^D`7_A>vSy{2!jbQyP zKjTDdxOB&TRY$nZdaE8c_YLpu#E`w>MisnpS+@%9^dZdA=n$70vQWKR!*46*RjO2b z3-2F?O=O*VQM^avwJ`m<8b1Xqv+NJo)TkG0V?g`I>z)?h1i^P9MM&0H(DHml+oN{p z2~EQPLmD#p=nNtjAU&mE{2n-mqBW9|MKuH&5*!5g5etj4r3FKeLOseO5u`VnCynhn zunlX)>*Nh`?M`V%SVRx&O8$b>t7X?*`4;=uF>}hpPd``FCO*E6JUb|GP7puKV^=Jh z0{nigt5dJ3AE5mOqpyT4faLdstO$VRk?^7XF+GzO5*?%lO9nM4+F-*5;;CkNuw$Jx zEBo0jcAl><@hV`Gd06t=)rkD?L8dp$XIU3n&hR1QzW?p@NBE<2UcC)HRr=)HA4(WT zppX%Jd4;qIF@R*;z#hi-R#)rW-i13Z=sKKN$XD^sTbJ2TXlY>*^&pKV<($|uU@IdP zVN1)=v@439NSmHh7|Q4nX;U@7lfeqAnNOzF*&ZNQZ6EQPTy1}B#|Y5iTjWT33&hLqtFAy$u9fNmaC1Q03+2dN4aRZ>TULuE?1Cbhu}*9s0VTocX; z&OSJkWHypSrao51;f=#zl))Q=Whw*h91>|+g8bJB-QAluTIDaSp_J@v78s$y!panR`lZXsL8V`+Yfl6@O ztX1pU$Ftx`EBH@-ec~X*H_!E6VDko(F8juQB9vOSgxu~VS(U?eP?$`Li zKT*xhehs{j#3h+7>U*_t5tLtyPN)}qn(MClB7JxP7| z#Codpq3kM;ZrhOZXb!rzyscL+(0&efab2uiquX{r_5Z(7`=6$Yfxd*;s1*Y`NtZ%uYLTf>djIuRh+}je!-c4>#9J5>Z)3=ng5q{_s?~Cf1A6X zQ)*wK+QreQK?Sp^4H-blY8}bKTc~fCXqeUM5ZYLv_zR6AI0VZ?4AE&JLiE@gRh)Ad zM%MR0v^76#ppTEa5$pT6ZdsAvA-dhlg@gEq?dOEHY?JEe-_?6U$3;T224v>z^MlNB zfgzG*P(`1DoETMMN+Ul0z|$Drp+mn}?fFNx2UaF!#I_F7EB4Sv-^knj%n6BE7`h5M zdKP8M)OCa$g>ldfv7SrnWm>9JO1cUaY=DoJ5U!1R5y5(}+=#Yt7vXx4QVr0)6K?bj z$q?_+7W3+&3R|3iqvHDc`j&UdXcOT#zR!0iK=}i?BLMiVINHtSCPp zzSyQ@Vtd4pkft%sS-xMdLQi98s|dMhkpYwEb+dP}ulYiZa z3d~1VY>O&N-Yt29|0YXKWBmOJB{ORp(>gVIUc1bw=Ir*nY2)&v(_6x*=AzY$pj8(7 zoZj#z(V0;yL8-qXSU83ye?zbsTeLwWO*05;q1z#4HJHg{zqG|1>nuq{xdo*yTmOk- z1G73tHt~3TL6_+EJ&NMu8@FpvY+x394MVNeHqA{F`DZb5V%ykwEXj^*#ySQ)qZ$I^ z!dUv=q2(`U=Ua_lpEe@NTZ%p=r=U+(=C3^`EKDwl0L{K?^a1mgm6+Uj*Gp1RT=Tqw z0x3WWXk(j_p3y#`ZFBYuzcSHmPHIc^!nkU#Zl@ZmwtoH}87uehTbPZgmr7>m9(PKMaVhIFI+pOrhC?t!(h?d%pBAfVVIiz(NwiFgiWnou^jq3Bt7`Ocw&b0`MX$|VbfRm?n#K>L zW{(Z&-@kXCLk0UQdmWp*a`N284Q>~J;b`1hu3kkw!X^@6wj>202mwOPSt2RUoP2pD zV|Oct0wrh_4TTDtw5y)6?Bv@%nPvM%p_gW!-h~&{f#z(GWE*LR?K6Q8~A7(>2tSAS@rY>$pPWAavci1>5KMz26 zv8%tvty)%!RpVJtC(B|Np6o(i@FV3#bxXFtP_Y(71Od}%CguagYF`qY;9k*4!leMU z&DB9u=H;PPir6WXZ@o)2!@&bQNO3%x@)3bBXV?XlC zV~+oLH9?kITFa=_=$o)nLOv8CZ;E87?N9G)mw#7Mnh4D4fhEqiv8<1OjN(AN~E=Y1cMavUv&z5bU7 z)js;;$3L!KrWb#;x~MAwULR1rooG0sik#a@GztX$g)|ZS$A@46Hc1zXLJ8g0g&5oQ z9_u<4q21C)1Ox|fuBs?28$PCgKS(cse?x5EYbTd9iRv?IY`?M*UD+wet5cy?FIr>-C*osf1yXV5!U22Y_e@Na(nk>~wL zw3c+A=`MkPpLhDGMMS44YD9Dp{-{Aw(TbW9B@f`&;e|4aHOG`{Kfa6q2d<<2FWWdacW5GaIVqtgV7O{loE zuw7`j##AwXDO9N?U8^d)b*&oFC4X)LRx!3onBVE)H{O!3-n{msa;s|n@X9V-t9B)~ zO_<%O^z{4!fxFW7ZSK)7B5d5=v0?o8)X}NW1*!@G9mk1^w)P6Wo^@-jAC$xRdU$75nN1K4qej)JxmS~@7?%I zCoKa~2Ms^SB4ZL$*}?FZNvQ`9MwBMCFVpaQH92L*Bz~BM8GL;+Qc8PZFU7C{DW%2y z7b&_|+qRg%tgpKafeY>YUSD@sP>W*iJ5dozJsK|5NZ3gXplLlO|9;Vu649b*LhIPU zNm*6#a~H)VL_`L@_~MHiCLy7%auZuLjmLiU7R%#7fmK5id&D)5hz=P_4hR@m)cp>b z<%4;<>^zHapqDJ^d=%Xtv;HMNuRTVOK(n8(j|Y6XJP_Rgb5^7&ikaz)*bvH&Bi{HX zDT$a8hqjAVQO*I0P>V0iA@-m=a3yz}I^A8pt{*k6L zs9to%==)w2w15qQ+NSU%z}a0^!N$KMQr}I-#G3;5X~2D*kaU{%??gZw0i-!~b9s%U zSdO3fPR<2>XcBwF@zzx71^Wjx-)(=E^_*W{t2S%;YOSNe6G%?x(+0Ca1rKvKKJCbhf-eatTmWFN1E6*Y8Zl9^f7l zCi+3pByxNNq2=W z7dQk6Z%d?f)+^PusBb4W$}8}6OYSBGJ8~X)E|6bh7rQ!cNbf%I95cG82jm7`*|{J>Qs)|8qVX!TvTMyPsfy#rNe>UlQz&J37%>M2Oi`ENY+l9l+@ZYa(a91r1Yq9JYVg2zJ{G+ z=iHZqFAwowmrSJml7qOkSnv07ewk%yY1^D}4 z@6;(JeH3G3GE)jV{prc^F0$MK2mi$s9AqwEH{zi`PF(n5Y1QU_M(kl(R)4STzq;+< zDI6q+KC7!nd)qGBatt)zXpGu0OjG=sLfWsGY)gqslRY^0hp1u+d)}ROI?{VvMux)ct|{ z$jb%3M@$VdVC5bpSXz)O!&gDJA-cn>KlSHrWVYwkvfucs$D{zqhNZ7cKTqy`c3(BN z+nH7Rc16u%{^UzF*ZF1Yi^*Q`0ATt$VPbJNR^K5Mn;|7SAUZ`wfht(%pZc?p?R5l` z&3er7qcjOH0|ZR|179UzvLS%UY%ZA10F!pmZVEgNAq@T$!kdDcgJ$@N2K*2?>#Gyk zx3!e_?Z|F9&gEmzfy|<_sr+fSzm&_;%Y)9!p($u4m>Adrn{lS|r zvL>*a5$+B1Nh93V24YlAiB8kXuMZgoMSI>0yF?T$C;w-G$UD;2xPR5g zcK2BdNPUZXG&KoU?#H0F8d1K>168Ve&F6;WH@1*TD)L|k;2Z?qYPMih_F}AXy zE@^P1*|@mzJr3N)ho z@nysaLJ|mT&tD>qp<*tpXOT3U{2f@Nymxx;pRpd;rSsWXKR;mIFEKd-`-~px1kTAF zc=okVkIC1-Ilucixex0o|MQ(^s|I2CGJEbD^y`SzGwy6*!JQrFlW5P~59@s4i!@%7 zt(r`Xc6JS-laUv*SuS2-yIfTx?`g;%jbLbr$$?2Q!Ub32TKH8`t+QROr0gpfIP{bs z@+|e5J_{IyL5tQ!r`ZBrtrbLsByf@lEeX|&#w?Hc{qwtQARp6?z0ajcsgP5zrdfU`+8e?JH@yEogtr%`*rz-^*4|5N0RM>e;syl!krZx9=Z84 z8kP~AfF=XY>uy`vg<~F=~I8-#7FMDz!oR-c_VKw+x^g;)hjmqdWbJfW)F_J zx%{cMzdl6rmGsJWkXzHliWnUxX-&H5lqje)d@(j5dW6U6%@=3m;AbS= z{Ob8wNYE&4fJvtYiPTY-84}pn@kwkUHm9yqvRNvpB-qU*l`YK9rhL)P`4;3m2i^%- zOruh+m>_PLe~$f4xeOa~F6PVFeBiOzzCd2e7AEjh?D)}J4@x)d`j%nXN#Y@x$0TmOSBY>59q$iq?hmuZ8m**BU5QzGs!p;pHKZG2FduClvLcYier zS39CHMg9(*zot)JclD}17ruqm@1>@h;H(rJVvFps~fk886v_ zeY=5@IIPXI*-T(5tvoy*FwZjm*wXUhiso(G(f&@P^&&T?-=uu!ib?k@p_pQ5M_(_&f8q zO-SElHwBVxlFbqlAjzf!A+*qogx&>1ks_cprGp3vSnw*M*g-(lP;7WbQB*)h^jd%m zB8aFIuN5KLck=tpyt~OJ6w&+rKhJ%hKjhuF%*>fHXU?=UXU-AQBy2Y*8D?Ir5_z!~ z$eInt+jMblUdk9`#wOgm3cY6e2^w;O3^m?1e(`2TK_3Zu+0ZlE(aunq%czZlLg)Vb zs%TP|Q3gN4t2?Tq<-A(rPv{|t|LLcn zD(zMYj8Am$ddtLG`pfDMn3FfenLmN2cXEf>fv5>{Ym3)}mCGc+EG>v!Og9@5HymgM z3CEz+Ew_t0vD|Q=C4^NIHqw^H9U*Uu3c*asX#4snGs0$zGT@n43;mC;N_d&7&HMv+ z{$gL8Tl{Ly?OY*ivyRe9-36Guc>qe)EwkluV=z76`#`%%{eZ%Obxu0nC&;I0-_vdx`WSUuN-WqJm+l$C2O6=I0yM^W?+P}^46Gx~{ zCCy#ppOMi?&hyryS+R3S$7Y>GKDT-6QdI0b@JNjgteMkQG*Qh;73XO$(@7=HJ)K5k zUHjF@PFGe>B?YDLb{;izRA(+1_T>k?3M{9DOnN78YrgO3M=>KISH>d>0wr!Q1VTDY zc`n0*c3-h#@ro5!#)78tu*Fc8_3lwCTOd)ak>5bZQ1ydihs=G;S)<8W-q+NL2aIq~ z1Xj2q>rm{7x}~bmS^5Q!$mi@)7$f_dS}8RWAqcT+psG~u%i*#KX9etfX?)N*7yEKB zr4DLeGoMRu`QdaYbRK{^R{-bM3Di3|Xda(q#=W|Dared(hpM4eeV8NcD<_woypA)y zm(&!T-*j_bIf?HJd(~=d&FS%Je@dd5SPOfAAtX_(1WZ$_st}ZzM||Yh-|kb^p|pMb z(hg;PY9C=UEAq#Yqq6XC)W{#<9N70vj*2&f-h@aC#OsxXi!J{~S!C4MUoAt5{MT_e zhV8{^w0b!IP5NVUuJbjSE8m{~S8=B&j~!d-`}@l^z#jJ{1q@#ud<%X`!n(N?w==SEIfSX*CqTu^98INeRXhJC%I@&YW1_Ot+l|b!eZIT-v^@_o$I&ecSVw z_NC^_rz2<1xSO-Wh-@&{jo!Brqq6WyZd^$_u9QFRu<^!GWo4!9l9Q3nd}&w8UpkM> zZ*X2h+cr7P>y5470DSsru%e}}K=2BDi4Rof)4r*+63puD#B zFE$Ha4@ynD4uq5{SL%tHxca_VF%BL5?-!Tk+QmUE7z1Lskeu z5mv^qp2H8wG$rP#J7MSgFZOQAX?BrVTCv}kvfo>gAog1;(qJiR@Z(=BXUN@mPg%{* z6YJ_Jci%nvK4N9(@B8X67qYfq`M#zD+8NEI3axpC?%t||o!_d4ov)x3O4wHwa`sjU z9|%4qHLpl+UeUaH1-7+uVhFP`{{QbVF*!xg8Ik-VU;f47kKQu*1^U)sE^lp}^6}|! z_UYEY(WkegH~;0{u%=I6SN*PLSKC5AH57YQk4hC0%`2?#*Q8)#Iscjzg5L_cA{e!# zWLN0f6_)JRa1e5pbCO$q1ju*?mWLW{Lb^FBFqF8B;s&@6$S>@3}DkK5wH5{1a5hC!*50HTu_#6T=8}3gRX8;}Yu9`8K-6Ef< z>Y?6VxkQPt9c}x2;5_)FO1OfMarVzFtErDWN~#EKUeN$$<$1m)VPoffg;b#;XSq%( zD-=;OJ$tJKB@5ssvzQ6}P}T%1>quBj5}=Ig1lj^svP&-T)Zj?t_wJ=N$kpOz)X!uhufN}>Bu%m=OFE%uY^dLP}VlS2dux%?z54J6~hJr)u1|XF5 zSYJcR%V;Ta-DY1w&GCc1=>sN4hV3aLKRS19hS>iy@pYWJh6(3LbN6|{MU?5@zMzEvhm;Qw9jbyjxo*7X(pD8XXl52N zvQcp9z=AXf281I++*>I=A`rGEFntBwT)E{Ty0S6^P^)qd9rD7IH`XsZbr{F%mR-bY zfCPXdm>%%tjmB{i^AL5&#fJ{Dsp>Oqs$Y2;NIj&j8t~NJ6-x68wFV)uH3eIf?5%;o zumR8p0|x+Yy?KSj%}FLu_fmFi0NxSN*8!u+A$RRbPD#`eYRWHnzMk;am1&8cw@`1b zlDiI(ibL|vo(EC7$|1hmU@LzUnWY z2Svunz9w%U$vDlb-P)7d6k(@Gxb49FjUxcel>_gw*J*DU6j=Qp>A;p8Iz*0WQwAET zhddt*q(_Xkyd0w3UKmy`ufVx5)D&OH6WAUzA#sc9fc7n{3%@XeZu9)eetqv-1`^Vu zw??p34wM}_bjVmgkW#ZYSuf5eoIYOI!O%MAvMeu-+$IihX(+EXS$z$N;_zo75Y3r= zh(sAJ4$-AAy;OtjZ5&fNniH-nojk zy*`4hH>!Yp&SQtjL!Q@=$&49aj$r%z3V^KGRI-X^Re78=K&i|&bh!F{^#gS(_YzCs zmC-y`E>3!K9V#r$yTlZmN0OHivi|WK`#rd7(&~(otm3RLyV+Z;oIFBG zc6Y&RNyh3)s~+rkjv2i!lu`J^A3LH7Ka9$qcV_3?HQ$MRxf!djhYKkokFav~ z*5Aa1ucr;*qNDX_uy9AM5D+Lo87_MGEZ?}7pI|5P|6v+>4j$ahHM?JY!YyiH4`mNM z>}knk8+%B+afcdc{Cp0)bGUjaV6Vp${1-|RS4}W;5Sj^!y(XKEXOt6lGP*1+SDUb! zx$%YmSu?|qXU@of_~!{*f+SC0A|Et;oRd1rYN%z0n6pE%GYl1MZhCP|NVRsJuN6Ui ztyy+<2DH~!4bO>YM2T*O=M`_gy#gVb(Qt}b9i2PE)3C5t&!VDUH^>KTRoX`6v<+1w3s-Id^SVxQt42S`)u=!0{p>%A1)=7Xu+XYRgMTd z`XT<{22u-Dt;mNLJ?vN`3L)jeWD!u z=3Lb{rGj+AKE(^{)v8{~L*JZ3IqKyTp~}|Ue53%seAMg|VLrf@Po#o;NDfRAPG%3V zhuL_@W16r3=A80SRWJ4`wkUd&PD(}9IAjBzUX3NoKWft=v=I0p!MoS449>%?6ZG6H zomK`YH$h()GE<)pXnobsP=BpY-uJCSolO_*BLY*eSS4?GLm2XyW^(gL4EgmXM@1?#nukMW1A z*Wo-3w|HUU=L6BFbF0b$a=5aa%=^xB*mD^AGA>UvyOStd@Okka7N?Fgu;P{Ke;uMwv=6b62QUHg**{?mi9%jUxfcBO@LQ`q55C|mphC- zK!c|r4M+>&mn3r;?OR#E6O(xI9{%$KVKsO_)@$YuyS9>9#^gkE&XQv1L#8&q)Ik|2+H&2PyC{y_+a(ooYzKMLrmj7_a?C-I6 zo9sD;-RwY|Lw$o?K)H5Re+s_KM(+=)DoOGldgdm~#Kt9L+`1Nt1CC-N(;FU!5#oyB z@}xE`3I{~T#6%A$Y|(~JG*-jiRh(|I=y7m`#ot%VzvIoEyu6$@@0h=WzYiZ!wlLZ0 zOkP+vU^tyf+KZG61(2g6Rbv6*C|f1ckZ6(qs7SC&q!qfRoDV-$FVvI+ttML_nIj66 z%-=;JOnVxUX)6- zC!D5)PlAS+9k)b%cz%$R>X!NO$ z!7|^EMiJD;SjAbkO`qgbAQR(jU6_2n8qT#Jqg4LGRS_|>^MPXmu)F{OJ>7mIJA|^@};3SMOZ%gXRxL-szXTewx}+kvhdeBELeI{NS%|1*Iq`c|kXd>v};; zNP)grAJ1mFguLz3vodv*l-6uGw4=zb$|Cj+;o4DTCXTjMbL}Ybr$0=g0hR)g0wQ#- z4wJX#63=E>D-n8DT;IynyHZ+{BGwiSS0$U0tE;e7loQQgx0r`F^S}oTt z_G%QRI(5YkJu$9Vs6R*!*z49yQlm$P}8Vw|07B~H| zNvHd}H#^t`^%1k>|wP9+DZZf#l3r^zamCehQ4R zs>&DdpIG`(<);HKLf`o|_5rJWf9dk6FA+MLJ-3(iB;6y~COCKwq(uE`AhS1&I_J!P zt9SDs``u@}JCHOUF@+RuopWsA9+GfkNRz>*p>%a&rJ&19&}BI!L%cT=G8UhF2ow<~ zC?Lmyph(&A`MgiqI|s0USk|5H@f>^(@1#|CHeH79+yUm&mXBcP&a#rTo6fQoBS_@g zP4a_AUo5&x%sQ=?4=g967xU#|T116t%FL&J7UaSKqothrj{_u8WaGKHCX=(|t+U9L zyajgTG-aQGrZz5%@@WhRH4oDzc0TW?xIzMZE^Qq7hw<8Hua9HnX~+3Sp=#r}CoDh9 zzF)Qc?529K2sg_v@D(Qycnjr93zvftssc98%{72HeuB;$h3<14>;_9t$ZdRQkg>_k z1v_5NU-*DCHJ|10YK%^FBykaOGTUIw0PDOHl{2z)@&x*DPzTW~0Bchx+B+P+zez;0ooI%j>B%{uMlG zH5#vh2RuO5(eS)77ME!=@-gFE(f2gK`8(W?+`DT8ZOOIr4l|rh7J1o)rl%eH z<~X{@dj_1}a$}E~sNwniWQH>12>XewH9FiSxAhD~Zo_x?X6NZDHgxm4qa6+8W!$>y z97d6Unt8oDMGa)X4l?$%BeVK%9#vf}cdLFu*`c1`XJ+Xg(2^2&I)H0S(K`$*b+JBw zifZ~Wc^UMm)_vlQVd_(5RQT>Sz#^rIUKQZH|P96vS)C1KX%ZspA zj#ISUz_$xM3Kyq&S5lZx^4>;BAjR5BN!>BBoy|B#lWiTYWxM=~;Wuraxu9~v?Ux%b zCp9+Gc~1{ZmEz2|fSy9RIeBErbru}zy2?rq&3)OlhW-Ux`|by1hG{K**2{%5Q^pt; zcCftNrT57wvXo5Nb*atB&qaUfwGj@DU1wqn^!92jgo_iTepbTSVSg*(bko6uMt`rJ z@G~^mv@v}zQ||TJ2}ivMJK_3q)XNI9K4`eo5B;0@eGs%(dB1vX%kKmt#6P$GE+4LJ zdld`t`moAM-ly_%sy~|h5?8f`9?k`p*RY6Qwe517=;}-{Md#&W1HAU^|GZpWH2Pna zYcq-kp7hyb$I8Q}(f|$=d;t#SikLP0Nxp$^LYQE$>Q*ww%O~4*j2z`>SAU#Bj@*7^ zWMR8Yqi))|&1X&@hj8ogKG*)`7HT=eU(Nix+KBT$O*W3%+K++VeqjXu_L(qb&oSV3 z(B}vv@L#CYuEzYeW#hb$-6LVrKrHo@2<}(`&5x^6ImkVgl``YJ&&|qzK}Ns(0b6F~ z2;TQlGLc?1d7rI=ZTSbT#QP*sf%YiusXK&qbsT_3cC{APiOb)@y3zmOLAuFjWBrWr zftUG-=RU8Eb$;d#z72FAk6(>UAfzpfTEPo{ZYh5OXYnf<%h%R$UZ}_8SG5=~TGX|y z#`mb&b_L7vWE9w3=z(fDmBpojeEo_2V{vI^Rr8hk{Hk1{-maWv%PR5bwR>7p{i(8A zNre338-yVY*9svY8zzj;pV4>F`U&GP^B+57#>}PLk3II-Xhc}H{rF>#oys3Se$Dv4Gjhj|e{g&s z(Qi+MQe|)X39b`>t*u-PPf>J>@gCVgi|Fla7wPgvC27lE{({qRF;?(-${y@!K)UPZ zvQDg&1K?LD3cgE{JgH&2 z4bo#ewKhx{UlZmMVQtJfGDb__)u_6HexQxwD+OmB7#bY{|7{H?e~|lem1*%yo^0QK z@nT#zxHp8mJI!C*9#^lDA)Qx|z!jbPc3vS>4{Py+wXkQ8yV)NrI+x-0`*OgS__@?Z zS|qoNZ55nQ0YmQJu`OEUiA!%H{B9hdzi5VIK8^`E+Ts@WofdiVE3M55pjZzEj}uiv z`j8m*i=K4p%@g%th*>{;?{~2$)|{oYb1~8ks~UEn39xXZJ5+`*-iA4w|%kw{e_2x_B`U zTDXwiZ+r#Ia0NSe8owF)U*$B>r04PTrWS!Vmk#?7B~n-TBSKHgcS;j&F!KO|1&P=P zOeaxdKQJ-16-kD{f<%P3kaLq=rX>TuIq1OJ$7@)@+$-ck4sob~FN<>N_UG@}zn{c^ z@H~F@@4x4H{>o17fBpmf@K^jR@6@rpydz?EDj(g^cNyKE=U+RO%OkFm(hGOX^BqTv zWUFv9Q*n3#W_|kB*l$0p*hvDN#O85&fLG-)a*>x8!DiTfDZ+Tb=yElJ^`)Q|;w(X& zFfTvzDB(-!a>mpMLX9%=oEHvbauHromjX<)AB!A!-aZk~71p=Q5!B zlFI7xT;q3^;{!?`X_=r=zNUDTylQz=Sqq*NJG$7Mg1r=-I32lZ6lNy-v6B1f4J+sk z_puUon^8)4(&ga%_VP>-V7z!Ac`N&;pE%7ZwEv_USm-JET!lFJ*`7z~PFbeyj8czb zyrH(|0FS>+huvl-DmO4w8(A#S+G#+`sa1E`2Wp!mmmK6{|C?h@c$b;uP3cP z-E>~1X6+^ODs)@@3g-_@6`_voMkF$s^tIqf!yoa-R(G+S?A-Z}_%1|tc5&kGxU*|Y zN>?Z8V!pCc^M1^{k=N?HdcW4akyXwrC;l$ByHebvSNd2NK*}|uTr2tCP3J3Hyz_1+ z|8qJoG)ZwfA28AI66Df)r&Cd!PWAI+Ro@;vroV|5h=oNr5}+_QRt4)zKlk(H#d6 znLm-h9T)q1F35rUrfoBMXE?L+OLByF#w@k+Zf{pC2g-rlc$cVDuvBuSsuvGOC%M7c zjLDKJJy>0;jaEH)GBuW=0cqyIr{fU65k1__$0F>KTIh5fTwHD}pGv={-y6}Xh2*Qk zLY9QTsZ-&>`yXUHJw(Q{f53v)5b``L^E|`K)Hb8oxlwEg|D~12AudCDqWUo1tBeTK zWSn=!`xe$u9j461JGM9QKA`$r?NJdvRJ@OZjm0!&7Q#D#K17OT&ER2mKQNY5jQMw>?Z^?`2*$w#NG&RS>kJO*x;Ssx11mhueL4-S2;*v4r)Mv4; zF({VOcCt(!^7<DCj1^X^g4tgWnBg0;n(n z%2th8IC()H3`+F&tOvoCoAl$PGx&5wns0dI`T9g&4&W2U6%?Ro5Kf+E$DY`^fk<1Q zpJ#Z^$WzHlnn`5#u<r(4nFnOE7Q1n$HoQDbF`?3BanQK0b~p0M-RyI+P?o z@!r~M>A=17I7ahWhOz5s@+3J;wty3A>BHyoqK-LbWQipko`5NgAO5;NI`H&jeu+{1 zm?7y){@BWn1z=rQFAoui4uwXNWOyt+Nb-eyc%17lUk#qTWQIg|g{&gr6u`LEIHL|g zT?gaE!S})WY?Uv<<(2I89k(CD;hgVAr#p-@`n2Cyu3$f9I-eByZDhKz!* z#5=Ly*R&M)ut?xDOW-5Cz;JY+OB*h)bfk~QitzlAId|x@EF7K_Agr{YjYf>#=&iignTB|waRbg5P zmNn>|da*y$-k9+Rd#xJfaO{LF2aYeV6R$xBekKz&o|_N#%JPymj>JSqx2}%F^CL&? zc;&{CBS*coW7Np14-b5La`U?RB_-<~Z-al2{p*&=lc#)gaPpKXlZ};hL(UUfo;L(- zs|VwZ@i2^`c5#xOYvID+3D?5KXaVn4T*zQoBeL_tQj@eW8qsCPw2z?ycH!e`JG!v7 z>@z31fs7`4GW+6=)3auszC-@!$f4{NqmsQcbmUXY-VqCK-rc*`g27c=H*WR82T8 zi+}?`ZkC!m5KP9igl5m5rLZ<}*lUWweqjWp3lZ>l90B=41pFOGz~6BM{2fQY-*E)| z9Y?_5aRmGwN5J24gwNk`1pFOGz~6BjRXPKZmALQ{hXrgj%qm91>}|Bv8P`Bu<8blr zW*M%Bac#o&8m@h~4&w^uUX!_P2aZ@2kmOc1`EwwiQ(%9cKc~PMS3~acP-vfq=Wu7d zN(3}gX_WU18i||NHfRLtb`MzD--kW>uJFye^9?d)uMxR{y}6y-h4okzxoaDH(>QnH zI}Zu|+Gs>SLey?#2g!e%jNQGPttDS>VY{A(r>fh@5)$Ae$sx<5%a>A#9 z@U5i+@!T5E*^sR8@7Z{6i05o>?(~|x29;k^0_Vz&N5{<145gD?^Pxu7gA3`dgZE~~ zO#S)m9*+*Y`L2?ogNNQUZ}EWcUAwfHIegff&U+7*Uk4K!FKhFL-}4W9+&7ttd0Fn< zH<~s}YaZkLGR8W4PT$GsKa@KB7!P9qT9+do-sa}`pXEq6Uq-)?f_@_&_tb;esO2OK zK)g1S5U~*wB;)S-lb#&bh@hCnjig{zm3tkP_SUDLCX%)*R=_TM*XyVvHjtgBxyAj+OivM+3jn~Zm^ddZP|^s>_%I5qb{Rr7?}`wM&;&Lhh`~2?^-cc+nD2B=>)oE5r;h0bOzeY9s+Oyadef5-`I{ zzzi<|GrR=M@Deb?OTY{-0W-V=%BsbmZ6UDawq`T3;LjpMS$Ows71lBf25_1cHWiF~r-;_F~2 zV_He)&L#XJ2S0BTGo}See17?w*Df9ZmNbBBWZgMPl5`dg1ny*0a7pkz%R5Exdsf4H z#8FXm|MlFQ&+_4z_-LE|lR5fMDY0g3cl>$p&>Qc1oQeUesMXN4F zt1d;WE=8*@MXN4Ft1d;WE=8*@MXN4Ft1d;WE=8*@6|LHddzM&7IL&$F|3OdD7)F;8 z#4I)4`}C@m4!6rWwRwTB^U-S3aW6S~%^n4|{!yL0M`?zF@#kiEZs+Y?+Tpn|p4*A+ za=cI1o@@H|I8N@X%{zqYzBwqq*7`|V3hUsnDP(ac>ROXF)5S( zwRit#Q}(*EGu`gYZ1;6AywRpqL%L25G0$%=N>&(lP9%)YVWaEKl++^zUjD_D7gg%aHN)h9eh^x z`R8fTqgxQi^UELJS$X^v``t=@Xw#`v+qRuLwW-(NreYi~CXd(cZlK1q3VqyC2yQ79|2yM%Ag*z^X5m_f>tS4* zaJ`0WAFji=`0BY35czs4#f0brM3)bu3lLq1=K}w^0MP}AENprn(&*D4p zx#!Ns_gn|dc^)KRr*3Ov+`NN4vwGsh)elaZ^uU4Brw<(X?mP5J)z#JKXr$IcYaFHr zLoHgtbW0-D=a{6ms8%ual4J-@BekBeTdlIH+OP|C!!EGEnlKVtCrl3Y{9F@8xsFLK zOeM04+dnY#letfy+AuYy5*T{J6v)v0!nF8HCu_n~tdae~^yG`!jPj<_8rKQ4H2&j| zH%y)47pC6HB)>4_S-&vl^*UklF~2bR=el85|1ejbFxuHK4BJ}%`H^{kVPtikFzF>< z7|xpR^9A92fE9IAB_V+cQV^%3w_K*?61Sma`oZLyaLrM4QxG0*_1^#NU3qrD zCuINr{hrW$@-J6+`O~DDr)z%WI4fq|ql^())4`COiweKz|AHQC!Q!0L#e%)hBqYIyEz^-f-WW;>H3{Mxmg3Uxi+uDv{3NF&j= zd}s2g+26D}wi; zBty-w+&5K=TduaO?0s2Wt`{dcYZcd`@VrM3wzH z%JnZ%&Z!ksx0%;9;nw3>&clGqPE=H|quaKzuWIiC>TPO4<=(oNB*k74Z~uOcTZU|b z^=Uik6n2HJ(=w^QG#I*tqogsQzdJYCcR}?RjjZlf|Jz@E=kWN>Gwrr*8%e3CAW7S{ zdDgyA^N%EM^Zw(Z=06_C{6|uRjV zMiTaw;4q6H?YPyT5S%sT7RqpHhI1_xpyeniFGWGg5*N(r;1IXC?75=;Po5-;tBeJ* zqpIqZvTIgV+ozO4rKwvbLL7GH%{0U+~M8lg5H7U~;NTc2w@0B`{GMR(X!oc~xxo zNfVQ)Kz5PGSb!6Go~lzs*)^}K-IGA;>nDNkoF_RNe!Rr>YWWFAJE)O}ZO6ur7 z;&6COuIi!1t);)2aC~8a!|Q-+wrQi#6>j3ONDvJ(ewxbT@^L_upNG9`-#9>jt<)M` zI%VQh6IN#&prOXkQ|Yfu(b4tu#wF-Qg|3E)4{<1KswR=;%6$SOj#F(oU_rHwsF3|B zBjGi!jQvMGWybcyjN_(Z9CBccqG;^_MB}O~-a!iRYQmr?WrsHTR^?q|o#$5`X}Pk$ za*yagI9@iKqJ+W%=nWXeLp)xBbDVr(fRWE((5KjoOyQB1(hZ*P1-0wq5l%EQRC>Jn z@pbWlHf1=Osk~d&0t01lIvREsmurb;+`6~`j;MMD#7z45<6^?0PZ`5d@w-VGDf7H2 zd(5~3j^^-|N#KJL`N8pq@iKYwSy6Qx@VOjL4GpHqrpnyAi80yh+BuwRuT?; zXrvr=MSO%^s58pDmHl}nW3BR`vDO=v^G!{?LYp!i_|Qn`P+bWh6ApdKb32d3o~Ikw z^WLZ?93P#1`1r%Ar888wxQ1)8vcg2D4xrj{p^aGssL98_@UnS+0&CRrvN!`}4bUE= z)3|c1$;^;tM;c4%Oght8>P>;^b`AfVb0I090rV|CC!e!)xR$DyntaL9SQ`1V9u!%c z%&N7!)ij|ylqNyZ2AYIk?VgsEJ~iY#Pv=gpssu6+Ky zxiG-lef@@K*OTsS`}$`$tcP=^yWV+c&pYHUHVe0R{zJRm-=)j_#>@DX^9=gdh!Jm5 zhTp1cdGX09Q%-tj<5#o+(|#LDr%TgI+CYC5yMYAf@?iQ?l2uKmglZbsX@)HWsFbSk zHARW8=t!aHPO3>3O~Ic`L335NgnhP0_)k6hVMJkgVP@B|0lHU{Zh%`#tl> z0V`{Yz1j~C3ZxQ&rkB|{3yH153<`qCLI=4Qei_C0Z#tPT@&P6p~z>~P+!pH%eO`9 z1PXI5cp4`-JgBGUwhQ8?Utmx zIvi-_CK>JA6qK%o*-1EO)o?JX9mld@ZU(f#Q`qFXoY=q~!!`Y4mOb|zc`zfrX+}oV z^b2iDV(s?Wl5aNm_TxtM;JZRYop$Ad-5EM@t8sLzGPv@fuB(}PN>w1fg()Rrq0Xl~ zv$xVD^xujf&T&{1=i^(L=`tb=x~oY#z3#R}AD&uRSX4N5Dt-#jR}APsU_eF10Nj}U z+T29fu#0USj<&>tUwCeNu-xq~XE)=QzIZJ@Bhut*1^qxG*YS>kae_o~Ogk}U@+V|G zw4BF(@(KF~8w!>DHsmQX{?kwKHjMq_Q>?3bTc}BkQ&;|}Rd3%>9|~>h>niHQyV2|y z0QOpN;p+jtkj;HLTy#C#If?4SRgR5#ixZ$8T&&&w@s+*pIJ`dKAwII#hf9mu0^XUC zd3Eru2bY)~sB#%x<#TU;x&3m$WF8017SyLjbX}Z%v;e8Y9rf|1Eqw&x1UJUi&&5X; zQGj~1!Ft=DHawrJWkAfkP(Lrk>#)qBoTU!lT8(#xTQlt$w_T1U9T$jUbvU1H4KG!9` z=ViMWcJ8uhG<3nT7u~-w*Uj!#JIL)HSmbu+<&9p{rSpOu?3}o>J*isDOM5VO>|~N2 z0JvO-7As2(d46ME-EmOl(AmckS03=#aINP*#0V$YZUp9&e1tnG`j<7-h564V530?iK*bd z0XLWPFtF9M4dB*kC^M@DOgN1MO5V7UW?Wdi6j5z%+4{~qY}Pbh9juz;%^M`hz~e(s z<^UexWPx)HE;YFG84AaVPg%T$@Zshw3+6`-V^#Ob7nBib8<@#mp>2c^ z>`fQ@jBtlguD+g1Zb@&PHnyn6xZdeanlv6aZETaYsc=lT@cu>FIk}>#EOckfxiiM5 zrKP9$9^0~LOq0gxP0|{le_&y@J2x*oXMt#Ed2Wo)oS#uvQ>KU(&*d|GWy&RsztBgG zn@qWziW4K(id)&AK4O$#EiM#Gy>PwaJ->+l`TOD#p1mmstci*C?uRGFJRhdS#MVfs zql|S%1|4ZU=1Ww$$HcpK-W`bEA`BJc(*eMCEEbS-UjO3ae*Nb3W7)OKQF1dr@z1PF z&B9dBpq4kVR#TB2tpQorU&LM>*X{@ppjeJw7L(6SCCg&;WkMbs5k_o@`BE53O~eeI zq$I*qD^U`iKa+P)l07HMyR5}Y*7BsWld43f3N95k{SCvz3?;tm9IINih^R^=Q5P+$ zT&HX#O&)xZeNi=leevLfd=28Gqly-cb1_`X;FVe6&gI3Nj97T0PC-k^jg2%Tjjzk) z&b0jU^ql@?dd@c_gMNnPCYLyy>1lT(%_n-EdZqNW`Fqokq@RoQW{obVU(#|@a?O)p zo_}q6j)}lO-FOW7`_h-wFU|B`{A=ev;ZWPHJ7Q|OB0JQGnl+T`vhknF%a*YZ?Klzk zw4LOb-8$R8Z24uw>5-70+t`+=Y|A!u^3=1tXNZ9_JHWp-|LFSpV_o1~xp~pBU!MQ8 z<;(b*P4xc2<6|QWcr061KmTDNJ$bGpMtG6v8A3-P`)lVr= zWy|P6JNuAhKo$d=9J}#U{p{s`8VZU`KPP=q{wgPkLHb-*{(SYy`$(Mtjmzne`~}gG zY38zJ@<||aIq^mAC_3pwKM(0?R00W*e;v=icHK^)`yk~LF0PxYn6j2c<$lg8SBM8e z0oc zjxVkWM;V*!4XcMY@bQy{_~9KOJ%`2Je4KaFF*~v11V9t$h!jCu-5H3wVc{;>6|UN& zbeGevC&NCdnwAlNtSn<^H?)KdT1o_tPn$}&T`9&97c??f0 zd2dsid2nFxu8z%K9GUz|JEJQp(=_(Hrc5IPb)7w{b(EJ(ZFSLjNp5kWn8u0J>gO7J zO4G=&M_S9Q^^dIN{e0!66C>WZ$^LBXAuo-IW9PM=n(vQ&zi^gZY$#1yBCaysn-a7i zTV16;L{D&QX_%-ckUTdxo&*anI6R2?PF@S*%7H;2{*!IbQ+~G{o)+cGyDMo-M6XNk z!X?de96?XGny4SP%WO82p7_3Ba@@qM9DAqO@_-jySrf7pC1~{^OZrWse(_Od6h(`Q=2upFyq0=7RN(NZ;l@f2}`=#pg0gJAphzY9-`|?yLa1-N{W<=-ue%L zk!EcUi|rR|32hc#?hd7GTN!2L(R4(^SWOEmFKj}eX;r8Nxl7_&MbLYX9G}D6My#~C zx>{SPkH-iSjw56a>|P9l-qu#>7_pEXGK?%IFOjcl0L`Vt=@@zo9HTx>Kcaug4!Ju@ zYRh+Pkb}5w@D`m1;fJPr@3Qyq^7_aSer0UjJQY^s=9xhard3cW5Q}i%)~FdJF-158 z1<@cHvAa^;*`eH?dUg~D$0H7?(4+sstk8o3H}PEvZrUm7nh-hNCClt=nk=U`mgSOE zD!WoB-9P(}7hkwIyZr9f&D+cwI%Ij=*2EH`$fIFbDInCY_w{j)TV^VQIuMgm{=u% zdS16Gx<#?d)S}vKicV##Oe{M8per^T5)6q{NEpFqe6ZV8UkuFbMH0jy4S@%bLSze% zVv&ge0z3$y0xxn4Vj~7eRI%4X)Ml48`Hv_WK1XC5Q7md~jAl`2Bqag59K{ifjzQ4| z+k7Rl$lj93B#gq|t3?$>dBI6(S~9Bm6<)PYLOiMF2QngAB_W|iOX1XRl4c23;}66N($1+u^b^9g;K+=7Y)#&IVqLQE5<;X zWQ!IZqk`BSoV?m))xX*mifT`hebp{6Q=4>9^>$4L(Iy$PoYqvKX-#FhNd}9+q>tiy zZ1n2;4j#O3_2|BdG`G{((dFf%$9Bq&Cx<6TPqPmD{)XtVhNZWzfBN+4r`O-wH8#|C z!}lGHv5vyf&_ah2-awAB$w8sikslV8??BeFElO?>PCiM<2@cLlki&E}(kcgp(D>}o zP`HB#36QOksvg!gAtxk6gv(J@MTCchh;YS`RF(ZU?+``QW=t7KnHPx#i%fJxXixN<ssMSJs6O`T*prZ83I&Tp3AZ|j0MZ^uL3aXRszvBIJ)xYzC1%}9F ze@!O*4J<0%S^bChth!IgX}RAlf_;4JowWbX*J(f2a3_mlv9HPZ(n8~X_PDW^j9^dD z0=`bIO^3Z9;c-i(%$G5A5k~{!s0X9{3Nnq%UqkL;vG=WF(e*(_!CzJoOvJoRqRA@^ zi$;#yW=WCHV%-BdFR|GnPbc|SXFlO8Mv^C26w&}=4*9WPD$D=cIA(1_S2s{Ur+Fzs z#+}A*r&)n(7|pTU<66@t&;U2#N!kMSFt^8Og-yP?0J$&$l7zhTYUh$TV>kJ3pp#{N zXZ$BLhkRSLk#s60L_J)V6lc84;y!1sk|t1FSks2tjPuPbm=^{>e0?)$9C>AW{hHwu?>EC;ewY3-Ehk+Sj10cTW8JbKj`I! z^IsVpVZEKa1=&w~{QiJcW5)0lNX=9B4Yv(hxZssn7AzccL%^*M?=XxV4^LJ44`H5H zULnem@X%E+UnIlWQx~`Tm1UnOOB>MFcX}Z^&*^)FfdCT8(FC8M>lH32Vf~1klM%~6 z?4{R!v}w@-{|Cl+y8BR4l3_gapX^Oma=SHR@GJ8dzC5V^oLMmR_%-P{>y{e^y}V%I z%Y$t(w<`B}3*SW)XUrHD^ap#I4Elwa-(`(h!www& zk{uw;kBsO;Le|Q|_uji|-@aA%?rjlfeVFxPAHz2RJpVQ#{~Bo4J<%US`{s6tvP3SC zHf}c-OdyVYBA!sk_zF@{_smV3e%iEA-u}zRjk9KM^6W}w)vvt7 zs-@~zUYk$p(S~?*G4T4am z&~$_)`hf9h=XUIG#gHh?Z<0- zfj666H)m3A3<~@3t%y5H_B*EMYh_sJ+gyI9TX1j$EN!0hqc-pccmh06Y9DRzbQeOf z`G}nrC7!@X8Gp`8$wS?k@tw7gdC<_oj-?sN|5^DXfDVQSozT>&Y}|mxxAm@iv}{`A zfo$9q7uE@q-0j|=`uZHrxV90JaqV?MPJ#Hl5EjQNye?w4o9>- zDT($^Z5AA=TO)y|@q@J)um#Q`!5X>Il9myr=}pk%yu&e%vgm0bYly&A1D3yWR854_ z*aH!Ia7gp;NIf{T84a`I)-=+}5k~vC541mBX5fPdiU zi}wN8hv3Gq@TU4~6o3sB-W<>_XuUgF0QCwMK;_qY*1!f}7_g0|^5YB~}*?JlCI=!3?*iLBpU=eBe@_as~lXjI$!&02CsATTB*p~0ibEW3X=dwaS zct>5gXTPO@Rc`q9^!lg2J58il7c6*n!9SZNCi?!^FA)~d&KjWw2R9`HLCBD%R;wNo z+|=;E_PZ?&%wo5t(T?Dms5DeYRGRS|ub4<(PeVBEt2K!dFZgA})~3OsmI%&-7BUwv zA>c*SuHJ9Si9?t69XhduZ7QA7eiU0izkTqyq(3oo6%d-|Evr=NNH zyXP0YI)DDFBvO>jcuCx7hhUUUlrLO2szu2{gELS*lI1IzuG>D3LMfv%8e8MZI+&NyEGbFs_-KB9fA%}eBl}5%{`vWjcKkMM!Z7Rl zfY079zdM|e@Vm?3|14m=b=ZWkhK;9Wq%KW)Y2D-nF@(e{n7r<#l%=T|QyQbsqtdGw zlc#}i`Dq8tMj#<~xWf5v8c!`WD}W-u#P*f?b{d5Ddxo8b~Rjy!~5HX1fCA7T>*leOd#l$A(pr6=TP)e_-@ z%1!b}Hl*7%84)S>XO*NiAhC+3^o0R|X8qY`lzl4qCt2)cwS+aWkgr1fG6jYa%g7(B zK|gYd{Ekf(i}3gPyFOiviLtO_!_6iYOLO@c!&hrC=UemO^nJ1W9%_PA-A`8XLCu0`i#+4;K~c0{ zv|ZBz2f3YeV4hoT(5xUPKa9?Q`#o+32`h;;;L+8XX9r-d94$2mZ97O)U`u-mD6HAx zp9j{jH7op;?0|BM z*{Y5f>_C0x=cZr*jV%~^YIu&@VT0{_6I42MCwM;j$VbzYi?Pa1&2`5Uk_@*u3mVAr zRZlc*t%k|J1qXBvDC(b?KuKaDC3!76WZaOLtrw+QC*(DXo@rzTj3i4Hi*=$SP@c;E zO>QK&CJpfvJLL{+bcDtpo(rw}pTiYao-Hd8eZSb3r;Ksr-P135a&9|4+>;Iuo$VSZ zY>j4Z-9VFj6{>-4>5djRfJjD~XVU0V zk35`a>!gs@u@Tl7@_Tl}lEIVOmlpI%Y1R$>&K6VwUjy-dI_TM_rX)I~pIWhuMs(9T1^*BTHDWXSn<%>B{Sv01jVE9pvjqK!Hy;msQG_ zAE7Jy%N)iaIyX{1h{SKoNZp>y*O2CMq*zQi_h;?yS2dAG5% z<=L*FxVCMhq6#x_>+6h53rZSIY;X|xC234nvNNNTg3{ugeQ(PwjEZd6HZI7O&FMfT z_&C-UC~I&wrx>N;t5j$QSl!s=)bu25vDoslQ;i)sjISER-Z_}sM`4uB&W~`~^hhv& zHs6>_l{I^As`~6LkzFbxiIg8_Z6=4W85t89*0OsrtJLL1?Uw|wZN|eHZQYjODFcIZ zNt1nQlc6`Y>eQo0(OsdxCMs*xTl>ePWW=$bx&*%vFtkrI(!Kl76HCf3gvsQlq5wI= z?iv)-oqQFkZFG(59+}!FEqgdye_wYQb8Atb-=Q2UAVPLC_*zAx76!$oHtSvmDID^xd^H~jER_Nn6_!7l| z6*FI{I_wUvCulyp#Yf)C?dS)*U$+!DA=A_2!!2?~Y*u`6x&ig^-nPh?hOOFTQL-Hw z$H!#erQ}&7q8qhJH+m__8N~_Vwpe#uMyo*DAS62$_lDVV8S$|+2(s7gxO7xAulH@z zXWAX0mxHgUomQ+p9ZBemqHs!5cO;2hGHxwk8R|R*Ss5t`I968ng0;A;tl>~XhIUb&Cjfl8m`Mw{D&4=N~c7%)dP?ZtB@aZtaqlNJi$_WLH_4L4(Pt-o4qLfa54`L~9h67ptqX zh2Kueqy@jT2Ni1Ya(g~=v|-CpT*~JO6g$fQ@~eyN+#GcKZu16T3m9x%{D#^=9cfWk zUFM9$*$B$@f`>ROfoZ(Fqv`VQva;3@FO-!X4f(w&V_4Sd6Ia2WxQ5#om0K^>(g!!j*+1`;bQiXgPox$G)8 zoKFC;vN3O4&FnjM>(;poEy_tTvoEIY&FsfTc(Wf%==QR*R*@*}u>kfSm~LdSLCVTx zmpzZ%=*aAnhSIX-Z4*78@lsI_#xcQsMf4QEKc{rzHwmX0xSWam;_E5R$I9zo^!G1d z<^E6UBk5mQfqf;NlupC0?2pnf(goPTU^w3qP8vbv=!DmhrVv}?qQNJc!fK4}x;rly zY82T~LaD-qWvd;m7O8W$3(cWsk>t{%FkMT^qTmm&x*cKztO?UeqOPeJdtB(a!5?DCvAR>-_B?<{MTf3M zIWfKFc-Xnp0eWn}>oG z;&S8JjViO}V(y4LPMabGi!Ct;O3l@r7&$Orv?i&^x>L7{s4fvbKQ|xX_$5C}vhFV` z*J89MGEyw9OJiFPyjXmuba=Nmn!CfUZd+dL^octoq@dftZl~D62_5uO#pTFsd1p+} z_++AwVQWkEga*OE*5E|z!yU>8&fDXNbp$8GBxoJKo4~(CXTdi&#rdmCfl+s$+9KeDwf>4 zEO#4sY;4>C+hD*H(+RzpUP4c3hR_mf=p_LXLi(jbLP83VOT8qQLi$~DxdUtXpIO;p zawPX%@_j!xvUXS6oq6Y-nYTXg@bfxuxKFZmc2Ptk{VDd+JJF)iqA#D4_LR3gR___0 z6Ftb?zPwHmNIU$AC5T?qy%NloX!*%u0lK}q$-0U#=f5V&i$ot)@m7=SG2YkzlO(lw zju_hF+|3(wx{3I_uPz`+xbn={x}r%V28s5#ob2>=yD2bMJ~q;Sn8H8Cnlo+Mz}D7Q zUB8J1vC#^}F#nD6G(~X!#ECg#zkw63d^W^DXH1(~H8Cwo6|<&rzxSY!w3t9e(4c%v z`Pps$(E(nj#G`>VP0?=*kNP3=b-$7agsuHNt2b?}r~V5CchBC|T#u0xRbNdA*Ley4 z(-nhswY@9~`Ta@W>7!!p;}hJIcG0CT`aD(GZavytGhk5F^g-dvnsalT`}QkP#0W7$ zqG!Bsl8~6_9xrBdnW6*#vXg}*pTsnIV&ZH;P^BlNwN)CzLxwgNw#E2Hw&nT@uOy0& z-brGjF;Sirm?S32l7wW>Bsna4H)XLalD*j_Oc96}aM2+6L4eoJ>uOa;SN{>;UJ9mx^UdfFM@EYpXc`Ds&sE=@Ebw%G5L!A%g3<$b7gdgz2 zQF~h8im{v{I9O8^_DWSq9>hmX_nY=^CGwOL+_I3J+@H;2SQQaUjTyz%DL=w0$%XME z&S{dvRG4mX020h#6^m7Js6--S9k3(*9PeR=#>QyHHRguG#A1`&)rnMoIm+y~PojT% z_N_3wm|kloHD|bxeGk&NzM4z44}D1LuMQyeh(O=c?_Yf}A!kz8gir%r*PoB*-6Hsruy+;Sbe-&;wZ}8#l5}KjU;0{Acw9+p zXid0P=$)o#G;+mnU4g93a=p^rssQxk1}h=kP_bh3R<>-XV!Y9wwc~h{4?YB#U<@&CfU=Q2e;3^hX@(9xkZH;d3ghK z-=jBn4NM#%8#UukiZ>=cvancQe7dgCc73UA=A>u17}TH$IFXVz{3+7MJ8#;tB`3++ zh>l7hVba_1=~}JwXpO$u!(pUXEAI)jn&RGX7M%~(iWXE9DT*&IXdbfrv8aT2+u==< zYK7AU@7%xFvtS{;;ko^^=lY16;PTLI6Tj#z4%BVj*)DQJmlL0fZS=d=&9)j-nPrX0 zZ3O>mQ9G_v_7C_rc+i&NmN2NlCTN>0-8RC0aKGCgSdWjQdeftBPq;nn_M+P>ZWrA; zL4DC-)mpLCJ8Y?1Ms!%!pkWbP2YJ1nfPNwmKPV31$SOL;tQsf z(Jy4&{FH`+D64)-lub#jQjqF0x}F#Asu=aIk0*+j2pw&^xf}HF0-0FadpD=%Wk-z} zCk5_oSy>sKPZY1_JH|DawZy}De@T=d&7DBxoHw23Z}bldQJVb8V^d;+2XC5ejcS=& zrA*9OU?f3rJK})%hVis4OpA$48FNN=cG`RaP*M z{xqPDv}gx#h;|RqY9phV?ULsS=^sc2)eWFO&6b6k0|Ul6yiC4YU73$;PEMH8BcStw zDXY}X?+Xg|=!{JZN{b9}Bm^oTDMmR)q#bEgG)I>fhN(Ps*65tlL?5pJif6bFz8vbJUaO$Yi|&wZ0}V zM@;01rT{-*eM%@d!aq#et56x1m6u>mSGVSx8lvZys3ugbFL$3iWLt^X;*rbKb(6iU z33&pgIaFJ1~qC$rlh! zl#XN%V&;KwB$ZC$BQ8#v2kXEJGVQ`!Z(X?f=lAGHa`fHr_Q3}92p#{P_@ML3y~O=q z1XJJt;gxqjps#*I^JxST=`~EKFHsTX6!vG(oqtHU%<|6=3$4bl9R0$pQHp9t+_M8c z#cQ&iTs|c36@Y4!l)k+#hqNdI9<|--Nf0D|AVCw zhF!;O>)!OknePSS0L(tv(GDW*pb6$7GAICnKTFU}Yq zldl%IqL3J~F}B+8Auh?}j@fA$|G`In;;Z%sO)XuZDJr}-ZCTdLhW>LbtuGp<5-Ut! zH{4o!EnUa$7-%KlGtJ!W#S4$`8xV?eDwl+J$`cX_vEz2|_*#6`uZ>KKK*ITQvuw#G=+$zWeeLSN7$Y zk;MDeVi^}Q@sTU>Z=J3d`h_JbfbwdCh>wsG{68x2<^<_c`L^G{f4O=Y) zOGmOs>Bn1{tpiI5lq9z2iCPxS3o1ZSV>(r;4b}uX2g^aSR*KWsVxlwkDIVb*0dQB~ zMqrb0b`9^jEBQ4l-+9StuaX%v*W5ivEnM9=qi@=bFisJbC(j%tt81H3wMCvA>9a)^ zS2JbHr-FLUrQDg*U->rBuiu5cWyOX8$q{6tsn@+AmT!ApRdxM~L(69@*#5%tNvge+ z(vRrNM`QKtBVsc>BEL=SD4mv>HKk(Rz^B5w%)I@^h$B!j=h;>KnZ55EyoYx3ugHSPfI#_OJD%F~&RFrR$Co5{ z?q`Pl>&vHy51nyPxctP{%P+6ku;}3U{ya@wE!UCFhWfS_CQtDuoR4t-F(0n6-9m>K zIZ&8Nkmdo4N%2CqqXu#LM)+@BaVgTPDnLtk(M_e%29s34ih%TPHswKb8ZH+HIVF`` zIY-Mj&m;%A=jiSu$Dig}UOh;cle2fxoo{ki@gaolASUIURBk2puQSL`U!ucBx4`jEhN{p3Zv#1%X(A z1mZk;G@bA8eE!~bFVmq2P5yw+4hTH4@tzmRxom4xR#sF*rn4xsCL^OJlmBaXC%QYu z{WECIGp}tS8nT(rrY|3U=;@rtu&)fc1pLYQPU}LY` zQa?HSD=50IFB0DBah-5WaQ!`8_rAmTabCLK^ZQuCZ+^e~I{SY2{ax2_rtA6a{{Q~{ z+pquH_i_GLp6~j8_jT#}h`8D9CIYkKd3X-8V8btUtHg@X=r-7Ggxgq*DJDL~4`va} zalz_9-^UGW zYu~~50U9NJ|3}W7Ou^R*$P?0So~C)u@U-Mpr;^i3V{B_yM?gCHU+EhYSi>A(FKicK zHtX-~+hl#j8nR)H%`iDU>9n)+bn<`Ow}U0owl!;PF{M%;UF+Iyv5tg%Id zvs~-hl{@6@F&obRUe=zp*JJa8$rWVaCszVJUF6c!k;Hf1nZuI!5-&F^o-0i_H9Y)@ z;#*04(@7(e`1W-t@tx!|f6nHDrEgmn>WbRK5|?`9u7l}Dq>xQX%eEZ;Mt4Hr$4KZ4 z+@IHcvW+G5Rf*ld^m8QiD@)9R7J4K*xU( zD68H435^Zs)tV`##Pa;=WZdDtWDHGs$#^3`@g8wlg2$e$jl=zpej0P^_BNMaUM}F z6aUiJPv*&5M7|+wzX;@OJAP^&hmV>c3H8N$1;xww3vlCchEZ8hXVo7tWW zUS`rAY~sv(Cxz)rF)7k}nA({|-H&Y=z|rAHMOc#}h2%KBf zR6o@^rM_v+5)1v=I<>y(k%jXfX{whs1X&h6@p$_%pNrfua_;=li;Cgxk3X@<5~K@X z^tij{!p2&;ytZ+nr~BiJ!dpZr|D6X964`({)^2)3h!y?}zBhob)-W_83>HcjoXbRi zsZuP{pNvYYZ01#Z_Vdq4(bdim50EPIE~!1R>?HA{-=C!46Tefkf=@rCXRciNVmo=C z^r0uIY1>?X`pR<20Ne!Sm=3#8-OgDKhKRPe}=T9)hJ#l0M`EJde1yvzW?u`m^hKyKZ~} zCGt;r9wME)`{xK?k8?wo4jhm07!i$ZYcXJUPA-!AyerdDR-FEVnM$w>3oQ=V}Yeu=a8Jrf=LlVDhI?k z!wR!o59NL~M^}Xd4z{X?tZn%kT>9Xgs*U z1$t~$1D_RRWaM9+*tc(*qi;rbLZ8j!#@yE@J_oAAg{@mj5((Qx!bswM_tDqrM`TrB zM|x#ty5m{@gg#g9yYEV$L?u~8%QtavZl+}riSd84Gj+RgXg%WDW0nrwy^c&-5o|*mN zBDFRydL4b|&DZIb4Uq|f>IH{poq4RZzJhOljs98saEFkcfAZ*9`qEgHZ%E|EH!jk5 zi0$GV8>2#eRAWin*rO-&vst^IM!QCX4$Q*s29ekfm=D-f;B{96_QQ@Ss#L(G**O3G z2T2q6Ptx!BzJ15(0jE3NdvO2eFY!;-sY%(;*tjV^@cPHv_{~jC8|-TDpdgt%Co;C#>-`Vsp+QTQJic@ZJih5TV7q4e&QZo z{N$1)Pf~9#BD%fK7(VvF^{;_OBP;rFrx)XfPc8;TVr2B}I-_;$z74Ovwqf1KiVE;y z2xBd@#kR)o%_&uzYUO%&^fDMW zl$YljLcaX)&kr0(CS+_V zEAM3pSy$eNdur#)?;k%)Jx{jt{Y$6MobV#~%d<=OZe5VIHfQL&)sti6T4$uDWo1o@ zOD-WFurVD+?-8Fw+f${iezaE7cn$Chq3KF&+AQQvl*6-QQ~KL{P+r}v^kd!}_9g{c z@!A|jn_3WfA~%WL{@m#iFO=uhBrGb-8b%k9b^GJW9z6C`y9b|`u_Sj>s3r2GYUAcL z(=6IYxaSBL7#|XHk8tIM`O{x}@ZEEBrhh@dqiyu5LC-|)94?=t@AnRZD6Xn=g-RqoG*-VSN}Vmin>UO*!>A}$h0HJWYcDpO+yOnuM?(=p3cQ+ z-vNewfc7yQA%JEecL|}fFs?AELb&S8CD~)4Vf7zN_R~L&CE46F08Dj5LHJH*u5?1W zBz=f`X0y{p=clE0;EJ0KF_o|~`AhM0((Gd$h9xysg#`)Aq&$VQ*^@L-m%$_uu&`2@ z_}Vemx^aJ+dEY&2w$6%~yJG*AS)-EjGAs{>J611VzcV5(HgXo}H*n!j5BdF@g)5yq zWbZ#Ya_yld4_uZ_BQi1rsnS&c8s{Y6i$gx3-@M$vsiV`n_WA8d|6)9FoTMWLXBXD$ zUf=;Km4r1wvQV$ zN185y9uVxLa7v6%;^BVdwW)`rBj>OW;95`$zT@cn#CGBvv1Uz4$(l75 z`dl*6Z|+mRX;n$-YWnF=@(xkhRx;3k9_43o&nLdRG{D=UvD?M(!d3IRT*%ku}~W7WnsB?%KQ zR|^Y_Gr$yi(<=xEZU|PK?%VhfzKU?>uSn0TGDSdX$aJmRoAZXTTzx`;t0*< ze(F3EWi1*z{)M)xK9(?r-`KIE#*XzBR~xJ2Uj)v8 zKC*gaRrR_EA9r`3h;`Lf8>=Jr(LC>blwKt9bOD*C(4;;$X6*B$Lpe*Xzg(7D+^=78 zs!Z;mYvDpiKRjB<{yv(hN| zxTxtso+4&l4(UG0h6}Y%lWq=I_ZW76&^3rR&sMZ}8&VDWRJ|F)&_F#iOgfFn3i8G`Ihol<38kz}-HrVwcc7vkzfzI8$4>G2zDat81zAqo1F zpr90eYGCI%?$h|FVD`b_dOv3w$D5+@7AFSLMCU~=o__e3^6WPg_Us{bQJfDi^EBfL ztj%~DasD%m`xnQ1nynVJ*~-qSg1L(%p!)76 z1#&m8*${Zf>4@ecogi`!<<)9OO1#|CTSS>HKp|Z$6-mIOhtNwr<^Z zZ-?`djrZ){ea~jDXw$vBwqCpLaPU_bwX`g9PMb1+{*)BX$T{DKT2D@+fz!ap4#bmI zyA5Le+pRiF;TR?u>TJtNf+lBzePkPY_qEW6Ujnp;{WtLj}I<>TpZuti3f zM@5xKN7@W351**=-ndknWA#90%_i6yZ6Z8Vat(;(kh67BP}@eGxc##-auEiOvaW84r-Syvh6;e@#eS6$yKD+^jIuyxa4z`XiG!1F}+gE)8OUpd(l^xkgUzwYdLU;#^3W`N#WBZsG&m^Gk&2`wQ z6yWG8M7_WU&z7XFbw^bFVreH}VL2!Uxq)pYuFU~&x)whdOR>OdMkTEVinbim6x&@G zg}J9PhC9-Sr=^c@qz)hKr}y>K`}rAseGGnF)Ae_1z4orNMue!N>MMc`LB86U%E$=t zl2R8OQr-}$39(w&@AGb!THGp@X@B)nsTebFQAgX`#?te;yHKCT(oHB zU31WX_dD#HZEiE&R{Ve3JsF8vSoh5x7~wk!_tE zV7|Er*bvIswFj`xK`RAtAnM-%*_dZ}7;rwAB=Mc&HQCkm^?}hcjti7l`dvOn?E}Xo zjF}WX%qOAMtHj!tc2MT7E{YZhhfmgfmZJ3Z%PC~KSP?7x%yxfF^*Ucd54+ZL%k-o2 zO+s6hzLp4Yj%$mGnio9lhF?gcDIt$W1{!?rCN6IP{kv1fOL9HAxn{${B>Z=4G0FU& ztg-*);tBc!yaH|c0(n``-ib!#-xa_Deax)((*ih9X)`m$Ov0#f%Y|+}=*l;uZI?Z7 zOG{Mk<$B&4UqA0`ACI#na{w>A^&tJ4UQMsBig<9a=6!Ga*A8(LG4TDDTQlErNf^%IwoAWNWZBHEGG6hE2|Wg ze(roHpZn&a({HrL(tG^g{nYt5cXsC{>*0xd+RGYLdGVtY%uI~=1235H2I%6B9Tr(` zYB#wR&GL}(9bA_4lTcr(E#@*PQi`A!4HDjR2Fab7kTvHwD7X&iNarwa8wV2=ar+cH zN(t`czyW%wMdVSkdK}3#Y(?FE9e(n!8_*R zQ;+87D)^V)A|rdhNGB{@a@Owg=i&_yMudbOe~pA*pQvqQlZ&7Zu$wp?bk=s!86gPR zb|ujmxyce$xrp;qqB!2%JofI3bHiSDekVFF?0>ONcUu=e4NMB#X*?6Y`pmVkn{7$V7Urwq}R6>aUc1f53apG>^Y$%a>(WzA?#9 zBM+}_+_Asj+nFj(8?zuR=xl1_qqRh?&(aI;T_{dpyiY4$PRn?6m^Yr|K_8U3sIQEE zalRpiFkGBdoAWY2`+-t_tB~QjhiytKL9{lq06)~s#`Mq@g zf_^aHs$ug==62-<6+v?7 zmI*fWHe`O8fm6z+pOWj}&pr6a_p@Xn*`GG+K1%=FTiU?`fF58=%`INBZg5y)U2#cN z(Dh6A#qM9E&68aMU(dJ^FFcHUvjs{(+ax7PYML_K)l#fG47*mzIk|`Vr&HfPVQZ*% zzSmI@bmd_5fGXkbbFypSY>nC@o2%h7WL^iZzq>rmeXD$yNmd|xlZ`Xy_V|r|h^+mr zs-GLdLy&!v;y~yptSX4L4@2v5e?+3%#W6B^{Y(EZ$Mxkq_qzX0M(NkX`uFFXgtuka z{ohvaS>cn(ZFDxiW;rp(FHiQD*S2kA_dj*x8gD{eB10U8T~4b^Mv$F~6Kp6VYf+}! zOlM;S{@~hA0u0WF`82Xiv2(icj@X&|4Nq^-esBm~y8ag3-bxY=dr0j)jGHFlev0n< zg-h|XO2N#k(uOO|Cjfa_$;l!FdW=iqh=CK{5or8Q?s_YNbpQH*Y=!eaI_F-gX2=mN z1}V5#gew+St3Z1)cK!Xj`5=~WIAD9v)agGJ-o27cVf=`-tO{)^!e}7A8#|4i@e)>(WUS!b@35jXs{+iHUGK05vq)Hc0kPp| zzZsQ=Fg5XA?)3iC)oFoVt*u;GdhMwP7x9LS*j2F^27b}*Q?+SEuC>)m=cqotr^f{V zUpJXE6CK6U$BuPKC4=2UHZ815k58sj6nEk^sdq5UF8C;+~y zOja)mSsPI3Symm>YGK(!uvjv0#!1AKB|{Q~aR7A@S%wEAHFM`-U&X5iQLM~L0uME_ zn2=0OLcF$x`(}_fK3+?g#>B_O7RHj;g4me2Sox=~d(N8W`TD1GM~`Z2oBQeOUbAL- z;izp?+vvIDr%XwmGKD`G8y6E>5J%z);_wYJp53OUv!;dp<$j(!YBat`D_{4TIn(QP z@({i{YSi3I7uk(2PQE`5`4RKukRXp*$z8eihtWqfB;Hh5geqX!oDQ6%O+d3bhCUmS z;)t2A<`L8l124y<1O)J7f#Bq3i_H!dUqGU(IvFx?JRw>Y+fU>W?pTBf8%y4- zFa?>E;nEkulpLUtF|s@pIdXyJVF%A5PCEdyG(N3G%}2PRjo=D!0gt;Nl$^^ZHcS$u zOE?4|L$W;u!ay!zundUUQ)4rO$t;4b%rI08br+7%J%WGDS--fuv=bd6$NhNvrfi2Y zhWMY;oNLkF|uY{aacD_s=!) zqv#lS=cCzTBk-Ms!zD}8GZr&9U%mh*q~6keoUp7%r~M3OXfla*L6z_V&2Qy_p-?NHg|Kn-%h&j#5M!IEaR&7o$(kBx^R zS{*=;3+CXF>STo-hqpnXNafx>^w_z1hiI_#?=jZ8oUa12TLUZ+(@6)_m#4=GE9;Lv z_{JMAWaxAS=a&6Fyz{dIgX?m2SF>8JIl1;%mi=H$iw6$WmY^Xalr%qD(YLgGon;KY zVL6uav1EA%V{gef#lH@;ooI~-0$o)KakWpf5>}PmuM-=iXS03-Y`fj z0yGphU(_OW9ZYs8>OEM5amF9$J<@~zM4#sp16S^Pup_ChxX(a)&A@>*wyI*P_`Sq< zy=5YiPiY-C$;Wq6sDEBsdY(c@YyTKkZt;KzIKbgn#$tyM!P6Cct74h5%!+-BM6Q6A zKR_COsiUyak&&N&Uv{ynUo$Tsm^St9)l-+OI`(D_M0c{MBGRadXbK`47QCfc@M&! z5#k=wtmKgYc#92U9`RSh!zGDyNRjZ@Nrt5}%Z!|8ijHE5iOkf#x2rv$n)y!-p$ShGq z+I2wKH3`rJAd@CTghR~aNo3{LBk_`uD@DU?zPgu2e0wy zvy%MlZgBxG9=2qU<~1hzoansTYjjX2fVI{geNCi&zXGz>{@r%c^24I_{Fn>8CX{#o zK4!Vbn|`>`myo&sGv|bUz|$XB#BZ<2N|~Lg`69DG_s^Ig=wGk%UpI;KPw;+X%kWV) z@1{r@u`vC?{U+U5>_|LjLOytCFzUp+5fF~yGQg7R%ELs=cqUFF>nhyJ%&RU&10CVU zg5qFiYz9>i%*0HB;4&T+dY~zoIl0=(Lz#z4z!(g;_hvaPn79hP7Ro>>0=PDPGmKMy8U1RY5OaHd>(j|&i=3&$fz0iz>Ml~0IjN67ZhC46cW3I|HOZ~ zK8D-9Ts?N!w$3XgU@gyA^7};ZZCpbo=M+gvK;RMW0a3ggS-H`o_*1n_1Tr(-^w3+h z|Ca;ElwI$V17FoS{prLj{mFp6&y!Uj)zW?UlW|2uWB6ChdOGoi)3;&(_I?i*!=NYWD$w-mL@UF<5vNqaoGylssJ6;bCEChBDBZ+0t!R78b=SU~%860z!kMqx2za z72fHiq<78-g>%>5mCe6CpZl`=(yb2#JM)ECuO;u5EyDhJ>v^ndF|+2g4&UjCzjnT> zCFIPl=ih1*H}=;1Th}}9>TVx7dWZIL+wO3()4RLTpp$T0yGz{4kq!OdxBPeY2vHYz zp!l87{)c{&5qIb(8FGh{Jv%S{qVFxxq*w;?ul43v&WHcX`Cq-y?-*z2hFfEPi)#Og zCuE^_pn&tSJDj}9_dS^VKQfQ}-{?0TsND1ZKTz=3DE@y;S$ggk?Qf08tu^BRfZp_{ zJB-$?We59t&vmB+Ir!7v?g4h+re7b0U*lI~-v3wY)vw*>Kk>Z`L3ce?+AfZBZoJdk zTU5Sv_0C-X`)0@;SM@th2D1K6bnEjkli@VtDB{rjldPi; z)8`&U2>A(qy(!BWmSr+$g&H%3cb=h}=`6bag%?OGSxVZTaRwZr&mTQXGLIZ4xrYwX zXI{W-aR04glW=9kg>EmQRc_4qdr-J?E#jq@*mz30qFvYIuB+kf6Wn0u z1N;p3`V#)##5CY5x-bVMECFswH&#K9^Y7uNx6W7M^El(e9^jVV{QRx+?DI>d7zz8dA?Io_RmV^3%DtK^sZ;HT#H}cm+bk)y@Wl#xB-D? zM8s#1Uxi#lWNN@p?$A24EMr6Zs{uZ;mdJ?>zl2Yv51)DAvA7k{XP$qQRFH~CUwAZT zSxk|czDXZ`h~%E3e|z{L`nN}s(J_})pMCLc%!-)DUV4lkCw|`hFMdbccl_IGf3`c33k_7KpTRcs~-DnCn7I zV)2IE>jk7kA{)rKC?yUvM?mnjWWpfG(=PYYC`FJEPaK?L@68odvU^_k4 z%TL)q(agpUku_o{VzT2I?cs=oexcDKn+4h@9CxV>FKAfM=g|e2HIeDY3W5Rz9?3Lv z{$rvk4{p*8+?K}>;snuE)U#`#GYw~Sk1 zCk+ZZDrC@N9#%GIF*n%mIgp!`T+aj?x;k)kIdzzG0~gS+0Q0;n!ShD!w! zDdvC#04Fd=ISfU2yr^X3my^0ewdG&l!Djw6k#8q?AaF6~tACz;A)?OSAua}?)8CM@ z0{5qiiV8YSrg*z3ZDLEG)mdG|f?lo=)PaFf8f{b{62$j}M0;J|kZ;IK zF!id@#RqBD2?o-& zJD`j*(fAMyBpkJ7=4Aw|v^F`IBs;_wM2&q-)Xrn{8~hF6*I!DDe3k@o3Gqi-1|1rL z`i9O5bZhY8$B!h!qp5l&Ed8=QxpTpS&XjNXtj_29^pRfqpQCgUoi7&V#tkzc}NsvTs`E)luL>(oY)ZwFr0DdD!+T@bGG5{c_J5cy-i614GVZgari7%Xq?E?Q_@=Ys=8uoiNT7K|#UabpxBrVj-z)aYs_fT) z`@S8G{VUUD&kY-plr&&iQ$hlb-A10ae!gYXvY#H_z4#uI$o-_)DmO=OJG`U5e#hZ$ z(P6B8yxX%k-bc>q>&Q+lVfvyQEJ58ME)L8{4X~duKQUX`E2`YV=7U)(fw@SpFb%;3 zfCY%X<`P(aK8;Q*#^Jxy~g;uygqaD3WB14 z`!Z1=a)$v3k0l)aq-lOr(|qA|;jAKLacthUq^!`o<|1>Uxwxq=G%I;)Ufg1X&tsza zn2%v`T;A5C?9jTVVq7k2c3qBLWKf(1YKfC>l*ya1>a2q{ijaW7s&iuj+_)Wg$SIDL@<% zzTvWQ@M`P~@qp8pq6U!+Dgi)ZmEjwdq5cMgGK~Cvd{j`=+VSDG#ul_ypHNIb@%`#zdK!RVNDqpzoi?cFyvWVdsN%3-Ga`frruvheH3h~nF+zFQ)k-}&6r}b5&Qe7kWh!7qy!Oc^s zoR*VdO$!*3W2}#wTcjG-XKlIroWWa4JQt2w<_MbPX-&xS8*R)P61h}WG`C=xd->Xa zD?LlLjG7$eST-`F!tQEDY$HQBjIyC6Q4+r40FMY>Hs3Bb?G6kKP?y;wJUTBmYxKi- zy+?$-%wHK6yt_$ES>@>gVU3NafO%&V-o!o|gmH`mT4)Wj13KJxAhO~iRBwFN?VQ^s ztO!zuoNL))NjKnW%sLHrROVpEFu=KvQ@~ne82)TQlRhAK<+rjy!jC;g)49Qw0x&~6Zr({n9FohK8$DW#s*~ae3+Q6P5J(v0Z+4Hbm z;EFv(I>Hs{FK#QH2UoGr^BpSWctJa3uYc)VGA}tbX?W{qAM&y2b6@LlU63PXUP&L0 zOHWA|7oV7vl$ekd&v9|d3CW3xNpZXmP$k84QqzKhMhl^BtvvN!pqfww6 zJp`l4Y|0t4v2~;_I4!lkxUcAuo}8Rc(glyK9J9%MDJRQA2s2q4>*|Bz;!~32;({7@ zyUGG=W0oeSwy55*r;n^_XpqU$8wU+)Oqa=`qZ{f*rax$lu-U8;k-bCo`k)}aJ|rz8 zJuO6U2nsUbeR>A*Zfvoq53g^CjS*0h_Ti_WewfSRxU_)axSZir$+Xs-*x&$%n0zsAOXyTYQP{B#EY0ChlNUS1*o_#2|r1R*B2 zp>BA(eb9DmWQ5gbi?~$Si+w5}!=UR`s168-i!$yQ(9|?whmrB6T;fYB;nOTc0x04Ea)1-C zQ|ywJ@eZ?#;t)oC#uzM&i@js@2=D=z2gKX9qVOK7T@K+d*c>s*9(;0md;)zhGREDZ zCLfBLY}Di>Hu`QtRCF@$6PJ`^qd!-Ngbf(MagQ9Ri%GQYC3|dSeENd*d$Yzot+r3a*pdc1Aq+f3HkBv#3n@$KV9Ue&*r#>$mS69i1&uYn#(G@9r^KU)AHpe z5|B{f@UAR3#SD9Ign8M8C)(PcxbW1-k=6AN9Npf(|MsH~)MLD4U6{^q!Aqq8LRUCO zDw(K_HnW=+f9!7ZBsC(r`Bc>}))D@GIdA&c5qA$hSnF&P(w*%A6)8GxsxDa-j-?e7 zQ?0fLZ(Xx{cnAl#Uhk{)kZpgq(7BZxpXpTKqBL>A^Z|GvbY7Y4N908y`Vr17H3>+T zskH!X0MvmQ1#x5-ebml1O=OY0v)YHddpcc@lEzoma_7e-wLT@zdbOPErzj~?mN3~C zm^kuA=s+yTE)g*&1-K^=aUd5#Ho6TKN5XRfG!ESB47|sI!jM)Kq8f3^!8R}8siNA6 zp8!-J(U0^8YR-4}&6%_HYf`hn8#!mG3p|JT?)m)lJ-O*CR;FL>Kb*`OQJS9nz}2e{ z^vYO8FHfC1g$s~Sb&88`$JOb^*5TJO=pE%oa&)_Y=Z08M`cLBFx!3OsDf!fYJFQ9^ zOG+k9qG#Cr65MvtCiev4Pncg8L}aE(h(!$fhpm$E6r*5dn6!wa&s`8XE|44^Vh@sc zjQ~hw(+7Yca3~NC)Aj$Gn=e>a2xqs}s@Zmdd zLGH}x2HoMO(LJ@T!MP}h;dq5!_R3Bidxexvilr}K+4B+j@)%v@{-O8|dK?SyF(N(P zI4#ff)m^(Cc5{87=gb&~E?^Ix9OWDXm9F;Jf#E0bdn12!IBOA#s3@32x zO@t$?f46t}7jRDBJ-v~%-Gn>(4PdA7r0FK?(X-$E8^jajc?B?@UKf9a9$SH#!&s%; z3Dxa}k_0qKE1h2uZ3MPMe|o$(_@c4J_e&l*1xScXOxQJicl1n8f+AY*95 z;Ks&5nK-gqdgV9uADEF`LeuHezhsaLPp=%flx8@Kv*%`K#l-~ablUi++}v5YS#i<9 zI_PT=u<{u#rM1mX1DYC&v!lYpZ8@d20~-en>ffuEHQf8qs1>6~;h>dI(WLah&?iQ% z?Ciu%;^MNia(iW^C&dQpa1@oBQGlbwD2%~tbhq%W+#iu7L(u2cq?Z3i*1RapiAArRZo)(=^xk847#Gko)ZnF70PRTMtZ?*N3y%U zy~&Q|73g}#$8?AxqNt&MXiI%VQC>uV=c66pf8X(_hdR6fXIqBW*Of$sl#W_4`uxWr z`co^K&*S}@f%@pUtjzpgnOSl1fq|~0Uiq#grti%Mf22tK!Mty58cM?aZ*U3n&M`~n zlBMGp>>^aN})^9V`9wzFtAD46XCNp50VRHsQQbe{5SShw}1{Q-KNqFrs zJ-YiZEPSt{{%p*!e~-y|U$Ys99c$XjeY4l#c^JF8wFcHvguUKe2DpDdS5se9VltaeB}Mf$Jr7P6q-Qou%p9GQ zTHNzM_M+LE-@AtKZ%yxftJ!q~zGX*~19i<^Y|6%q9rPG3*yC=s{Xew)H`?}_EdYI- zWVP%OSy>l-elhER!Ro(BJ$_M**bQ0OGg+>85v1d3l(U4 zFrtx$yG;d8cdutqV_b~wTD2M1LhQaXn}e5s(J?j~5QlX8HURYp+|M`%^0|vEa7T83 z?xNZ^D99J#7*QscXUcj33Pj59arekBEzc;3O9~DO3QkJQV@DqDID2n)UZU${TtP;8 zX|~6FpGdPYj8Q-t9A?CKMd_Y9)IPqxKI%X(ymIDHb8c}(rYX$VKgdNhYcResMJ5Xh z3W-a~W3{!3=;couG&rG`Mg@p7Ga}HBIsH)tf?>|HwS=GCGOfl^ znekFarKM(C%WnGhp4mg{V)}D={bTBe%qGf{AEpd#j!fJYo}C@OD>1TpXv&8t&ytL* zgP&|J*A-s7R;Vj)esb_tEQc;RybDVe=_)^8>_Y>9 z(HaAN6kfw_g#`;LLr#TPsO#QFHQ)ObgJF$G+4;p6^z7WJ`vK5e_2BY{iLXmZd`Ql; z!O>IpL4yq2A|bP)&Bwd$?E?f$HUt zr%4(Au5%yP=$!KQ+tMNH7f06Ih><-j9D|;vcXP8yHPWpn4mv*&Qj?Y8S_P4Z1BgA=Gzyn)_FMmErQ2Nbux_CC8X&H2s+Vjfwd;V;k&M>br1W5ZGU zhNfsFeg6W+8}&G4{U!Uu&GBX%D=P`ctez;j0YOl-L2TwrCF{Yq5tSrz;L*~|^Fyax z>sMbk9#oV-ca!^Up1PC7oyqW%YcrQ@e~!MoE6q1tb)y~q;ej6HE)J57gZC39= zuF7TUlP9Myt0aS}@s815=4z*K9;0i3CeQTv+gipDoqD#L0VVW2X4yhI$y4NNx(=Zk ztnIP|Jz9Hx%xyi1y6s4|=?;AnM)qhtZNIH!^qJcZ`9`U4J$rYnf5Odi@WOtd2tNv} zYHSG5T2#C;hPg55deoI=n~Y?bk+!2>_VRX`+ih_&4TJ=TrN47q_y6Otl3~I6fdfN=TDjc=4SJoAk4A66ad4owZ=l{l z-@c6)|C2$N-yCxn;(sP0HJez~nmf~?C$-oF>82d_zrrV6`JIWx|MeHt{N@+Oo_~zL z_&d>3-$m)puD`P3{~KJ$1Hasb%k2g4WDNLEDtqioqGFC47t$|V>39}zpeB5GvK_p1 z+_!l{1{D-H4bq;v8$jLPeJufX6Z$W}rxVn`YGekmoma1tIZcH*{p)+>59H1&=WhS@ zyIZK;Bk8pl$w0dMMIv1L`O`hSuUy%^2T&o1E+9+9u|fc9Ys_@J5ACussf(>kzb10Q zH`}c`xQv+08QZOwVBW*)B=yJjeO4L}G29xhQ5$~qd)=0&9!d;K4Kh=%GzZ!8!hX6R zZQp?^-(~Z zAr}>%Atb?HtM^tblrnbBSFH)qD%A>K0oQ!J$dXq@cZIvwUmF&vQF!_K=+qX2)e;h> z)#6BJ;{}DU+&xeOOv6Hx&NnbP#A*mPgazt6y+Q&*^p-Glh}K&vS7?I9)r3Wszc$lD zkb5col>Q2>zrs)MA&Oq!N~J$~q~}htYd*e8e_yq~j{??u9QpXOYd!!Iz&=BaVv+0= z5Su44KaM{F;_)Mq4TyX_Xo@Up3~xBh0F1`nV|=@nAeG^(FvCC!wjoxi_7|6X=#pT~ zP=Z2KNm@&fr$_<$-Osl=02pY(2c-kKXH~~&GU46oaWU6EyLIm#k0E#Y zD13bVRQ`Uxcq6^{SF!hGY-eu2bul?UKJFSnojKGHr1n!Ne6(s)sM+K?GI<24)P8DJ zkcUa(rw%fNn#`dlwbn=BIx_40H10k=IWg<{<<9+;r%3b5?P+nWtgqVuw;56tZL-{m z0WljHtGgIo8U{qFxMq{fTnUtIX%k|OU;LQ=A9HU49#xU`4|m<$xA*S!zIUfP-JQ<9 z?<*uB31O9;7#1ZgVjzI15fBv+6=hKo5fE7%Wpf#aQA9^a$Kl0S$596zcOCap2hkbF zg>>=%)xF(G2Q<#|JlZRfx~3*%g(qA~XLkCxa1aW%m*Z68Qh zcSHdFHBAE8A3iHKYS$~=PSfl$pVCXmbr$)odbQ51Pj$Dph5{b1MrYBbx*~NGM%#6I z)Gywm@vE}iFQ|)zvb|xaQ?E0dOHd&ZaJckpP7!te@{-u2wiLBduTbhWP8im0$5C*6xGqt&?F{*hrY&V+>X01jg#H!SKyffNUj5@s_nDquTkkOe~06n2vHeB`(#a8*JXd8R5YJXVv zGWB+kP1l0VY*eNC!9QTcJ<9`sM`BYLJ1R*fL|oN3Pgh3!)T>)|v)3-APC?fsVix zZxP%niJgjwgh(z1jT^32Dz$3Yc^!?pxseQ*fi)X5Jo#A#c{$l>8G5rKf5Q|q?fs7H zD^-39+gE;7&9xox)4fwR$vpK|l9ub!rWdKaEESgV_v5>Z#F~xz4N9tMpDzQ9>he~5I{OHpwJq19Y z>Bx^}`2q%`(d12wl&0lkF4AK$2GsOrxu8-iAc1_a|T<54?OYL#+@%Aj!?96_(gWije>2D>HT#pIwEO4Arj zDyNBl{q(o_lWuAB`%?^>G@a4n@^}M5FU}MibW$kj(7QBNjywO-N%?=t9zZ5WFR@>Q zZ<6W4DcM5V)v{Y8o&U#mi};2~`jNvqOSypOOz0qt>D~+0s zBb*sUE(f2hFmoDi{G?o=aC*E>x7ngCE-swadD-RHufKfp zMKep{q4n4GG}UcgaNP|%?p(k6@`W|k)fG#+Z@gjmR)iK+RacuECKcpor==QG{_rK) zq_S32H4Vv1U2(|;0lUYq&TY={mg~~8YAamnDqBiHu*eq>6!L)Gq$|uV4X5ig=CY~= zSk#Awok?*%rC{8jgSqaDWH*3Ytg{o{Gm6R}%*sejp@sE)7O~}F<8?{X2@h=O&RY1e zB)4O1qkJNn)Z#_YN_=*!O!n6Y6#~gp!N7B%(5m`-I5&Gn) z)r9PYwP{$ICacwIs*NcfV~4MnE9`-AUT#tFGOf<$aC=hy9=F4$(@G(Ksu<#I5}(&! zyX^8=7t9&R^v<)`D>6I5daw!ePCc?5#Zch@<_KgKxKb^~?jYFUgVmmpcriVnb#g%^ zo`_e-Yzaq|q4Le)A)U9}Lj0u%mtV4ZQs=g5TZyW}D4Mvf&hK?ozpUyCcc9_*NWhN%aaQBGEu4 z+C_jD69Y3;j=0W=#td;;=CDo=v~lE`t{@tTLrn@tl;x6DN$zmEjp#Zs|qvps=Oj% zgFQrtvrNr3phPqtw~c17=-*X+gL?H^3DR@tD$03c;u@ z?n==(93xV+8o`BOXQMoAY@z*Cwf3$@stU@7G*y*O8D5r0noPy?d~0@YVU=EIGOE=! zhgw){w&oA5P@6Rxvq`I%%g*y>%l2b0b{AUZO4&&43}h!TZ;-7=jkk*oX5$nlJ#1X4 z6fCGrePb20%aW|ZCmZ8`F%#BMsX}a~F_dJ<;LH~f%Luj+E7@*V7J`(CDlsI8^|o=z zQHbwgS_)Dnl$AraMHxjRFc%ojKsn|8#oVimCZ-eaXS13YYKA>wNyzhyQq6SLCmeZeI#n>Notgw0mf6bZS^l zE->DC?cNDomfmj0ZmDQXcCKElQ$%K5Jb$Iqw`Bd5^GD8naqWsPJLdjwgnLN7-^%Az zlx~@o0gDSt*d5&_Jcl`Q8&-u`yH_k5kMW7PhE~c9tc4go(ME`5B=sbPvqT8{3d9ad z5*ec>P8iu?>6UeajN*(3i4SWeq%kPlDpXt)6(TA@$yGc2Wo5(de^V(j_tAUx9r|1D z(61(H?#d%DKD)+5e#7a9aBXF2N{KDh8&iyWjX@2CQmru6Dy~kesU&2GN@vsvs*{e^vT`rBi7N!|`>nU=x86dQnPaPC^Nw)vY-f%Aom6Uc zTwU+OWx*5^r&t{OLBV~dhrr8KYGh$FnDhn>3n`44L@^luVTe7=H86UWk}Zl2@;dBW zbYbR=d14p_xt7V8SxdB(R(86;ZW9#(p)`sWF}|FwZea0*5h{pySXl|P;R?<}h%Fr> zR{UTIY!k3p!d^MA6f`f}ii>S8YhWzy^xo;yr$6ujKaQIc+t+*l17tXN*cFN?__m_h zBhYFgDVwEwPxaLix$1Mh|D`q z579%%Nsi0manWZMId|1$m`y2A?b+;5|Lw9)m&d{U@%^;Cp!BTIfGK3~pH*Cx0~S?N zxu`PAlL%%Z9jujC=HaZR5@*uNVAzV0jL8O*nZ!q`zwC{Ll(DEnM6FHHC{=&64=*e8 zJE}RQ(A#~B{*GJp`;M8o72F+1Vyn#tta}ZOFlLI>2bXgf)6K3u#e7bPbSPw!S!pEXVrj`LKkD9jU0A@(8g- z*d$n7e~iydiqm5e8wm?$G+|ghMdgvS3%045eHeX&h&;Nkh@^87?&8>!g2Al!>kV3s zLZMKpv<3vs27wzIyDj!6ed7+tAzAY;HmP_NJcKI~{|)u-i^G-q=ghV)p;)5PAYQyVgAL992dNLhCWj%;947?J%=_K@&< zL5GzsoU_188S?0B^kl5-NeFdPCbMT=<<>f4S1!-mT2$_+Y;C@fcMrJ&3hA8>w5fQz z*%R}>Gt#YF|IpgPKrYI`%Qg$Y6o#@@^(60G4*nDJ>;_sv%QwIuEBl8a_Zcl;&w}_z zo?TBX@Q={~mNx4#&fg-!(8_OyYvX6>P53;EyPMz^d?`NVNPX55yt|Y>i}YWeISG5E zZ;3XwnfQs7lvPe1Rh3zVj`y@EF6?Rcwen^Q*H@?Gy@3P2^6xYl-h+8=qy5Ea&fBQ- z2jq6Q&TZ|v`p`RpkzskUR`5Lk;j#=hn@@G9^=5BCQ#NJ8^G@L{qtRXLG1)wh_vu&1 zzO?EbF1ya^H=5nsUVM+PE6eiMj!iXWVYO02((Vjt3^*fU(i#2xwjOz&ZR0~(dNC+e z37^3?jmR?`MG?!8D2vopp$MpVBL6u2Dpb?EgofD3@C0_;2PaQ{$t{U( zI2GH#Ejh(qa*`zOSX(?K$nn>$$4`jvVkOJk9s!_1HlVLngQqjocWi@ zCc5YpT|_pWk`Fu8dyt=aifqFE0v+OaA$|&UC*X?%&8A=!4w%@lgKZySKwvPsR6b$7EZf`EFn2teqiIlw_-E6-EYCReI4Lm z_TxN^_E8i*U6XK?8(=))Q{p7^i1Rpc(obXGu^^|~#RA9K{c-sMc2C!^Y{-hSu@Bh| z=f%TTDQgn1Hwl`udc%}$_F;}>2^$#s_UNYlS5`GsOu3)=Wt>X0H%nom{QRGWII2VHNWkBXi0sdMe6tMh1>9Yrd?r z0DqmAH7`3F_^B7X_orh%b_D}bSja$J@mN0ysm+~q<`Z$QbTx2K7mo-+I+%G+e3(`v zohM{!A2aq_F7B>pC&@+GVI7WioSey=xY=Bc)t3mx><1@77i0A$Lb2Jd7YQ7o^PEw0 zg40-ifpK}c;{vH>tc9iq#^vUX3#6r}`4i}#Y({IAKggDRGBP?cG6L*2giS&=6O!`k zl(ch``m7pGOsaQ8LT4rQXIYIl?$$xUzVg!;y}~g1DX>3>5oBjPWak3N&UVm0UJXTp zu&UXwaWi>IeBi`He3$$_{#xu6Mb<&fkJtW0AIg$5YU3k~^CT#x@%BPw)4OP-g zb%qT_rzRuAis^`|ysCQZNS&0 z0DNTCBCfe$s-th%1SYb5_;Dtgf^lA)%jkh=M8=DWM40`-eon?MaU>X)ke2>LlI$e2 zA7B#Fk`M=WaF|*9=tutSNJ(MVHYD)uM5yWin4TeVmc zv1+X@tophwVkpDq^7$Put3gB3O$H05)-6`I%jma-GO7b zE|*oULPV3#<#YO^h+2!mMBl^^)93K}62PrykHhcsTD1(6mW66WED*40txjZ|z{%ov z`aC68gPOi+(%aPxO=RWqBP*7%N`sJyl$oJnW;uJ^E-PLDDT~{MIeC|r6-Z~%n@B`s zu)0J%GBjGP#%ci?J|_w;mfzxb2w!V;W|R|UaZ5nNP^!a~5r;wFjKe4r!D_9*(C>96 zV3<9?-sv$*s4|MW%Pb~6%glZ6DYvpb&#-mb`mVW%!;4*IUT(>Otn-SCNDi1 zyN&$gN%9T(=1KC8*lqkTR+ImwWvl50u}_|TmUHo6#C}CL<2-&B-OP<7UEm4Vw|=J< z_lEaD=abt%srJX4I*D3*`yqJce)yz|I>`T&0 zk8mc^$~k{-y^511%I{;=vj#og5rwiyV0+1e!?$;?t*k64a5$Zgf`ZD*$6@8)-i2*+hE8 ze>8vNS(KCyr>{Ru-+1_8lKwC`OF>wrmm^}mG7Eu4bSSWBkUF_=t5g(~?weZ54iQRWhwh9kyxc?c#DAyofIs@jmtOkgABp}&`Zebvv5$%2Mf!L8^@~Iw z`M6l!%UXcHTzI{2@MBk);A={SIzg&JfokK#G z#~vpUl1k?+C#jcTeivDDH@S{paW`FY*IjhQ-Si4_-Q8r3e9dzD9*BQVe6pRs-NOw7 z%=dVum~2;4vb%Nx9OE&;82tl`(ND4YOrWGD3@da%eETB!;l?SD*h`BR#a<#$(xF^F zXz}<{Y@Gd6>@jZGQ*5OD6oZkV!H?0leKC0m?ZZE)4(-I~#f#}^{OSWg-ce{aJci;fM?gqMD=$Hm_#knDN4b}hlom4UOEQTb_>$h)LcdzNlz!Dh@BES;Ad|i%vsy?B z^4KrEyCm^$Kbb7OTY8CRA=gCI^f^2c{kmZO&z`T;6jGzKpl(9-W1W!e(+u9_=L66Y2l#?>@j@(_<4!6`h?&w$WjT zFe{JTL61))mHWG4uHp$iLxMRXjDy_=k>C)025;%yJhBzg9;b8iASS;D48ZC+*u9@r z0yYvc-0www(L*loLg1V^5)22Dh7;n%2^*fUk2HbJ775s=Z&(!{ykOxI4z{3u4VX}2 z+J-dZk%lwXBbMKJd19}P>eQ`zDuA03gHe=(*yHH(Kv8*57JwidrtFifr+ zi5=RS)tx$Q4xh7%t?P`en`{uQ{uZ0Pq^2?2xX|En858p~qtq&&!>|yK&xWw3QzyuE zovSt4vmp%Y(z<;rezWfC%bQ0_6E~xquUM&57#xbGWy7N(rL!cIV|TU`g{zbn7z0vP zhl^UA_MA|O6K3;=udG+O)QXg=u1HFKRSM7RZL0c}XC=4Vtrlg~faI&H6)r6=w$}-s z`QS-)a6O8-ZI#A%U=ibmkNhZ4v3nqyrSXlW(s)(k#=pZ+Bxha~5)6%RSx<1A$%@3! z?sM0x;)_>P2j#RbnbEp`pU+6&&*rnz$GJTA+$Ay->^zAJW+VS^C4k88L!DKk&N8nK z>~ILHEv%kOls$*zQWa(|S>=nS!_%8xiY$fMx_hFoGG;SI!KEDHCW9{LzR52<(mlSz z4CDC=TRSFaw^S6&A5u1M-?*|N^9%CF7M|D9x)65t%^j03eh?aa!J|^-oUV~m`XW!5 zGMdFM9+^L$#m@Fw&YyhougbX3aI#!oP}}K|c%V zXTS-YUox-ptaV{z!+@0$!XoX~__1c~r|5Kclf~qpHD-y~oPoms6D&GALnIduh=_0` z)FjNXgIk;olGX|sv_xKfySF0ZFPu>5k5ue4m(C7E%*OWS4zt#ky})X(Xc(Vg-)5c! zu8EA8WNv9FJg=d`Ze5t=(waM(+l}T(V0Nk5Ts%9N&Qi8pbubY)ASL5>f5HXXiG=CF z*~N5g(@?)pttqXkRtkDsoko|M-RugJw_3xl=Im6Rrp~4pl+`t*8nw?ql>gJLwxaWz z+}YXgrt^y0=wWSuCmE%!Inm0THoqdhV9pJh8ta4=k{FcFo!PNsf>jf}ac+LPBG8&s z8O<49l0o=@R-1}+#cet1mAS2fv(uH#Pfq7=W9eE;kuLRWvz(-*MV&TyuD8iu8C4V8 z+9p^63U~}E$jx-vY?jYhW;>n>x!o1*hpP|RVX=bb*4&@oRYm$$hCvm%&?Ri z9S&=Dw5+hMsw6)z-DMLTY1qnDU0YZd&9)+=^unC9NO~|4!n>-v!m3c3O>XmqrBM7` zj={j*CB+031IB#`-YkSA$Gx&AWv|KpfpOn|NZI5Gl7EAd97`v)AdGK)0>XMZwoMuz zCI_tTU>`|h5{L8gwr_1P9>Kvn>Ar|!%Y^Qifv`wzd4FCkDO52gY<#<*Hx@89R~IFi z9xU+q7@H+V7Ub3xRuxC;fQlp#E8?#d%70N-Ms2FaMk%#k=Wzx6t^R<^qtmOgZK^R8 zXvp__=CZREeeawpf8pJ>tR9szl!}9RuEa}Q3YS}+;_QcjGZ%9`{``i(H#eu)M3{Jj z*WuKVQq_}XbAJ~}%PEBX*hFcnt%fwEIRwa0LPqjT4u`Q+ZzvSsv6$jJCL{WPNecN2 zH!q)&Zw&`-aCV2kKHl6zPO+f2ON>W z8T3V^*J_SF(-U;|!3l)}X^snX0K`DTW=<^v4@G@a6kgs~P+UJ8gB2M(eI~|Oxj6s( z3bUgOyG=Kf2gutT8@Vw-I=6XXa>k@c6p^?Lp=&@bNOTwM^dMW%6O}xOYH|}2Z=wKu z;6lKFrNpyqLvl?)wh2=;aaie5c5q%=*TO0yi;&!=CEo+ESSl7>Db*Eb$PyoB?^}E- zdYi|3W_)EF(k|74_?o9wdsroiR}Qi6p#F#`V3#(iAbzB9JQr4>r04OYdF4_AE|QW} z**H0sB0VJvv&Rx{$Vq}ZsFj&0Oe6Mp1AV2I3O2AcV3iy@gZeA>fJUUBGyQbusubLZ zCT!%?X;cb1&hTh-I-T0|A*XmDZ1tAdt!&N1YKIvkYnXR)ivJCpVU;KGxWsP`|F433 z&!jYJ5&(37r8J#>HDWTEjDcWAW^Q&4EF<-==cY$1`GK-Mf2;R-k$u}uD8s!nr_r$=U_4rY*#XD*8&cBE)XIY z)Eb>uZ_sJg3hf4yITEj05f(D!2 z6F^Kjq$p@f_fJ}x;q5jL2dlEc$c>SPS`avo-BzK|YV0<*tH$NFp#+*)4qN$IkIHdC zB`Kkn7dUR4-R|WSat(NigH|G^I54q7W3>a-8n@eO2md;qc%swTt!{UX(`~m~HDwN) zn~MttBm|pvVLm<($;`>l&dLk~aYoG)F798)FHQ#|jX`g2MsB1iBi(3B3q>;WiozKI zztzmxo|E}wsj&WvRDsOQoSf{;u(>}~n$bwTTK!=?7$K2Pt<#}v(5V#~iT+qeO7(eM z=(n(HX9#jVBKbj}zNa=&UuSqoFMtpt^%)4GTCWx~G-5Gr(BQnc1hY?Y^oI?aM}r2e z*ja6Mm&ccig*s7gw2&KH(o-A6#$vuvBVhGRL`wo8s0IBigV^(-VOHlb>NeJMSdd>?Nz|m3!$` zavT-T$ScMup|m(J!-+itEQDbJ3$0B}E2|hae8T9FZPk^jsZwZ<6d(%*TV+y-z;`BR zx)Yg#j>^6T4S=a_(se2=^Eswc2*27s6 zhwxaixJb{og-ab4>t^}(tpB62-%c^(`^n0_VIK|CRegb0x+-bt2Y)XslY;!8$fN&9 zgTQZSih1U_kp3ZYM~dI>8wsB7zs0;MOg{+}YbHb49E{{QrnK1RFh$E9_=QDN zQ@Ql(P)3ywX5myBg(1|aN%}6Yo(cu&|+U zq6|LR;faW6_6p(I06Q^F5oXD%n)TP#b^x9PVvM2!bw`cK@D(7}W3ihX+sH`@;2?wq^tl!VVciyZEnMw8w=gvAd>lnVM z+eEfXCKuPl7%wE+N8tWjqPd~tXB{}e%IvnA=wFpukC-F=d9*khbCbo~O zyw=1jB=94}AF`7Ec_PV-O&5Ro;pe0}{i|~xaZ`U9l|C#*`o{N0!Y82%XOD_yLtwvr zD(rbLK$`!w0^%&_|RW`D}k?rdLU^Q)Rf)6WcP*?<<1k zoVUe#V~dBlFS7hzJofuDGW>qrc>UZcUslwIbj?WTJ-uBF5$pv zgwe!n<4TGeQvD?w7hO)?b?HW?<>iIjlo6Ui)_J)Se`-T^wZ=^UI$8+jPhv^vU(FgR z3C=XEqZtupTR1N-ZKTdc-lfZ38kQv7z}biwN%DlR^FwXQRP0o_!AD?3wXr;3&7jHC z@}}g46{F}!c2Zi{=ua(GyU4XPEmheT%107|pS%WWYL;ZAo7jnGlp>5IY4Xv;VOEPt ztT2}ela;Ue4M>A|_&M-3c1-vbdu>9pPmY4T78##?6k87!_&p*^H4gQ_rjCMI?o6Kdwh{J&WsgT>5E8WRbVvQ;3J}D~23zJc|B9Bi=iV zM`T7^h8J<=ACa-J3-_-0y$AQ~ecFo!g%+bM7?7Fbu0c_&Sil@cwS)}G%{IJFdz5S> zUVJt_Opn}mA3gFg_m&ICQEB}PWbqR)-0ymdEdB%RfIjWQfwd3WIUM5s6>0h9FX^Mb z=W*moQh$srImU6v=%(ZJDGD`;lPx>51Ag630DrBloE1apD~1MCVnxybMLjDco3~^S zWGEv}3X1niV?iO?m*illcyNYCIQ_%RrcU8R=MOpKg}fhL9xvV^Da#9b=tGK%{=6i9 zGLm7^Qv|2&&r3pt<)w+|rHSViVaJ6^u@?$?3D^9PgY3k-;`vH>^_5F4l}j$dXL+gO zd8v?>Rw|dOuUv|FUW#~L@TP$+*(@iqByEX8t@@$utTM&(>8GDMo{zde9|;LoCRIEi zRXiUdXo7o=M2S`j4<|C}WEsJ$!5_gD5-4B;(3$bCj8(u255lb!=p8FnsFEB}DPiaao0#y*w@4k)bO ziR2>OgVc)2$N0OTNiL^{;x7rOz`OgC-rXOYl6WV(pU>b%W9*?oB}VPYKZ-kv)r`U< zXtEUZ#oTB*^X_ZL{ejOQ3rRhF3bg4#IyPoe;LMnmjzEH#^bwGg!zH|klEa=z$P(%y zyI67zFm9nw5o{dhSibTqF})tUJ{bfE@_^i#93PP>UpyjH;8zD|acs^)ihMB;IeJSR zNtA-t?%a38t@{41S{E`Ymz8F{-vM^pKj?|rLP~}l8V`RaGZNP6-IQV zGt4*=?e}Px#cbo{lh!gT}I@8CdKQ?gqw~>vg;bhj&8lEsU^3_ z4sQeb=}nbn-xK6Tn8306m_Zz$6%f@bqtRl`v)T=2h1wI$t*C8kA~UY)KJvt;$BTYg ze)`S%6J`x*jz(PWyyCK&A)^Y5%d>q>Qo>D&9RQul&NFWdc8rr8;>eY0dJyJMr<%*KhoLrmTZp+OnElCatr!oxL=>>%) zD>_%d@WSdj%Ss9h(!;il-e$WqE3c%iwx+BkFN;lTu~1E|7-BL(Mg!M5z%?RySc>$~ zIDww1wI;g4Mp%L9KaV7%KA;@jeb4M3 zzgj|`C5sg1mzCugMi>xVm=$o%xZU*kgBFTl{q-Q$#xqbRStR{mDG}d(1D)}-*Hd0P zZ0NS3O=YD%uh&;v)`Y;Y(sGaYX*%QJmtQY_Xhd^USqa>?`ASQg8%K|BY%XCj{Uv2h z%_9zXe+@w=Q_fJ~1pKD4J(%%B)NC-7klbPj_<(Sc!z`RQ`Sp^A+TyUiWhKoGqenM1 zmy~(qu-gtV`kMP}9i92K*IiN4JY@991_=*uSy_`5Lfoh6bky;cvMkvC*ohi`5ik&^ z;aF`GS9ai}kEzZuc!aPtQ)jb^Rn7>zOro_yDXysFB@{cRKtl+mluA2G$0qk!iQ>;t zpZVK0K4+QVZpm)zw&hKqw4yqfK6l4OOO3^4_4N18A3a8dIp>Ws&i;5<+xYs7EO*!% za2YO{cGl(4NV??BKd}^SsVe;r&Q!t!b zZw}ikycx~G(&f{|wssf%I#}du&@+u@96~FEriTPj8t_HQb|bM8f&eIfs8l?m7-v|q zL_}6E;)S;$szi$7BBm9Sck6Q-JY(t_$oKTd%L>XeqTGm?ovz004AspSTf{0b8 z;ZSYsg}RLm^4iSoiqzV?1+P^)XJ4q(j&1n%LB7rqE}rYFs-+X?u!eH4jZ7XpC#5CZ zUpV4m>xQv4oEa8fP0e$Bq4Wt+m&IBzHhXB)M{nI$<2Rc;HRs)TVKbA#o9Tx_z9K3M zAaJ(4u`|6~|GIy%kbiXl?saRMo0^8)wC3LZM;FYSc~1uZ#*dyoYYF|ZrSXPq@4fr6 z-|WA0MNTXlk-YLpg=qa40gQUg}#3nZ{nKgU# zc$UFEGv_Thy8qraHw|fOYF@i;_kQ|eeq+;>tGDm?<&hoRiK4DCzomKY#yj`_=CQl) zz4nI27Bp8fSbCyg$+s#@7$1Ura8&OIro+^pxm><=?W)z+(g(NPw)u92>0??)i)i&n zpOa(ny-S|?VqjXfSGXW(hp`E;I|zJ@987DBy?t}rh%NNNYa52HQkcG=HSfOn!3Upz z^!^9r1@bh@n>-5L;Z5icu>47a%#xV=P5KryIEl$b8Qwwlfms4V-o$;c6i>||BAfu6 zL9{eNDVKO{|OCOrD9&Ohg9EO2oT48D=H7D>jon!)=arC88x@ zPDI@L0Wj;SRmAg)0eD`Hcr%k>UM}MK*^l7KJwq+>R>W0eju}>eurprCx1XF(KPK+^ zCvQ7BpSXoTuv?U$>!KF^loS^}%MmwP&f*d`{doRK`Qt3r55?>r<(fku5-f-d!$ktT zi8Ck6IQLwN1#sM9gpX&~Ad01XKhB}U8LePB@%{d;4Yjo!FW&$CiKg|F&R^KwK56|E zn>N4w!NRyV;u%xvocOikxiueS z7X!3fracc=!j>@+@rrCbB~|i z&wcP7{d?~xf8qXsHzUbmQvNiV_taB#TWs@j?!EkD*|E<=ov;trblLbLvMBJ%h~pXs zUdgydfTIaGn(#h>a~i^F4ChcB=a7gqbnhR>8Abw1(%Ci!n|SWq2F4QD4+x%Hg4nay zPdRaP{GoZ5URTyQCM%EL%$=c&&nXQ(*|m1`b$56I-#6wAEsr!s=9Y#+3%0Y z%7Jr5yjFMr0^|qtX+t)c41bxu2f+K}t!Pv0^6y|0$IQf8k+Scj~ z4?K?BHqN+8!7oC|`sLk-5fG%v3rhRq)b=J(J0(t$qnLn5(A^ZLyOWJ>*_e&dz$((o z6Q|SJWfwvg2o1yr=0r?CB09aXmtUqM$gfG-O*hde&M6K>L-ftNd-uM`VPR=t9mtaH zJqlA1(pcXOBxGO_Lx@QRlX-(A9YIJ(Fd-d5NJkLT5rlLEAsszXraKMngI zykq+Vs*aaIkYs+lWJRR#C>HA^iur)1fiV#%v&Kutngx-1Vx6*rYSskRte~0|RI`F= zR#43fs#!rbE2w4#)vTbJ6;!i=YF1Fq%BIBFT$&GaX+F%Q`7oE}!(5sVb7?-zrTH+I z=EGc?4|8cg%%%A-m*&Gg_i60i=O2CN_?{sPVfSus;YAmmx8_`K z{%-h?A;WQTwe*{h-u?d3t?TX!km|XvtXEvHN-(eBvAtfNM$*@Hb#OZ zNPbk(){{TtWK0{OKuxj2M0k!GL^03nZb+0H z66J-k?gYX8ihpNsOCAS*+;Pkm9xz)(0 z8u?TspK9b&jeM$+Pc`zXMn2WZryBWGBcE#IQ;mF%$VypT>x*-jRayuaxb@Zz(^jaJi^ea%=9=Z>7b(>%$St{f zdAaNZxk_%Q(xrCF5pSm)C~|JR>&?YIRDfiuGJ(RT1cgl?jR_Psfx;$G*aQljKw%Ro zYyyQ%ps)!PHi5z>P}szTgSAr*NR<`cfK)jkRSrm%15)LHR5>73 zj)YV>AXN@zFSV;oJ7MaT)L)7c5CwkG1b$KA7X^M%;1>mcQQ#K^eo^2T1%6TB7X^M% z;1>mcQDg(|57aReb(`rM1tKZ3&gFO!{CG3nO=_Xa4Wj8Es2Ucr>5@2oE}MHl{eZ~d z`@@m9kMF5p$Sao2DZXgNm^IimURuG90-VF(*fm7^;k!Q^y<^>dK~g=(nfZ#-!d=_i z(9qgCbm-abg%kZ_f$VdpJV`weQ=T%w118KFxKD%OKz5%dav5rv*mf`_E1_>o{klWy z*S(;uH$ho1DC-4fy`ZcYl=XtLUQpHx%6dUrFDUB;Wxb%R7nJo%4Ezk*-VeCqH8c-U z@&F|dQ1SpJ4^Z*|B@a;Y03{Dl@&F|dQ1SpJkMT#E|4oV4&=ercWs<7c97S%R=svPhNQ8;S;frsn2Xt98}bzHOUayw&3lFeG)r~;mVACq}^aJ zm}(NRe9LU8nMH?M;^L#2AnxrvK2OH~gFe4@&4O+wBi#$utR*E$q1Z2oivET8cN0}? z?0V9%b<2vCHTCs1D_3mUO7Bhz39na{b$72`yW{q?tGm0)Dy7ivJH*iGEBTF;w^p5g z`+8yDkh&{Z-gf&h58Zy-$}8)JNTEZ&6ho{X=`SPmMk!-nz6L8J6jQO#QnAIk?o!r~ z_ZOD?&kIj8xssTs7qNIu8c)U%4->hX*LOb}c2Q6%}ywuC4{ai`esdZDoFt8zRDMUz8Iz&?6+%oEh z>-Ny`OP8K{W5kZ}BU?vJTDNDdulk}6 zUPednBU@unzxtmReCDvz+vFi~?O+8%Nra^KAsb~IE$+r2yf1=eU}7^a7%)?fQD%VY zUZVI2b9D+u0h}d7uAtQbOWAR5^NmX;Dn9S0?xqWtLNb_-AghYV@^Pic7Cz-raSZ#G3DT?<&P+DTucAMf9% z({W~0zH8b>jA*+CwU57TFan+ScW;ON~3I8e4o?E``+i(8)&u{*| za{1LF!TyBCs1D6h&hFm1{Km+w=|8VSa(#7I!&V_MdxoOz_R|z}^=Lom=cU>1-hkLx; z3y(G*xM1dli6bv=Z1AU!&fIxd2lvm|D}!Mj_@C}>M|(rV@a@y4WkmOudfYWNGpcK9 zrsVC~J>&Z81>ayr!5n`=Un;~d6B$^-Mj4_uAeBQ@F~xcDgtm#9aZzoMI?BOICRbdv zTN z(qIleJotEG2lTszG==l*hP9&ZLC}@|is^7M?GC2Ht;OA7X!X-Sh#kf;>X6D z?5l?iA@?<|sD1yswF?*g@z-x$H1F`FmX>_ogo(RqR@73@AZ6pTnNBof#1=^>ays|z zryo%?K<^xReBpvf`mi^;y5KJQ;J?Nv1zTl>)ZhSj>EI$mUWLo~dHcviu|c((A=jUN zTRvylpkk7w&+5h58n*8uJ{CsriCrX7=4#d+kR}Pl1;PNEV=7OYR{9yeWa?5V9gQC| z{Ud+rniJ%v6AeQzg$hDTBMecX%bo=%bH_6}0#ArcRB+~Te#Y~Lm{#!ag zzaFK>B)GJHOyp~#@`RzAvYHcs%f~3|@-R?kQ&odAQ+~(nqN2{(ot;HRM4(Shm^g6) zX*e+P^vC4s-Pio;@RmVJCVwT~Re!tetgbqLXYX9rMW){x`ME9<`#CR_ZBvYu&u6<#h2HO{v&VL$il z6V0*F3w?PKBpff0(8rJttf#IwEybFeI)yf2=#FWHPN;P`-DJo|L)%AS*b2*1%|4mMkYEsHJ6|&EzW^*W%omI$}GBWl)SD2L@3YpD7?7f2Q ztVqyeKE_CS%xnopvY1)}dhQYH2ZISgWS;~`Nhh`aB+MUy2n*{nLcTcjmHc(VB2fwZ z|J8(_PB*|g$8vftnZ!*Yvt!+{Zba=XQw6I>;G`gDoRrHq!D3<4rryQ;ww)5!c5)0f zXv*3Ozt~n_S6Kv+u`2=aZK8I@*TgEh|M`J@N}UH__i$dUa@$GrkCSLgoTTm~*-Eya zq=)`JIM$zmlMUOi?eYh4NCENpEYHrEjsvviXwV-IY;ya@$rwFOi;kxg=Rn*B!YmC&ON)t(4@J=|T7nJ>$>v_MZ{gl}trLK_ zUji6%I22pK{ct>;!HdDN=H2v=2$Ru_nRrzc$+u$F5jF;bQTSH@(QsfZLAAHW#J=d{ zW-TP2c2egmvA}okJkD+2Nu9?*xrcW$%I&1s0(cfIC^kwImK{&Pe)S-jz`rFySs1&s zle1RG?&M}Mc=D|xsGZzqxKE)v5un6}t7M&uPT-~!>oPAP7K)vdtQEi_Oz+p3$I?b_@Wt83RtLa_)hY_?e;<4C=+>9FduS>eP_EYh{vCQKQu|K|Q)#JpDyLs{FjNZKL7pzYf z>iSyca;AH+(P4SCoOS9E6EVs6JfO_laCbxV1GIwr2ve;mlZj*>S^i*i84Z2zAECOlj+BRdnvgPW#5DLfwlK&BUsT&gQY@H8HAN#z?DjQI@hL-N=)CpCKg$PxrxbtJxF^WfkNUS_Bip%Evmc+`9<|`1Cq0}|kewGywVBPf z)U@2}f{buFtURVzqV2OE7xB9H%rTKKpr7bX6gfuw$;9$!*d^)}I~&Q=c}8KzL1Ag8 zvNd9q)0a|pj7W5fM6|SQkRvx6#Pf!uqd^Ul?~G1u9oFy*`Q{CK8(Ui1qYnB~FqMG; z$tR~}=OIB>C}hHpZ*tR#6=9h_i&%!}$G{ zq5gn18qLlxEvYHqgYEF$dny(d6-O&=K8H`Ph?wDZIdWld?}g$Ww<^7=-V(+`dtlDU zk#j=n7N0AWUzHxs&Mhj=&5nMxWXV^!FD}Z3hQefb51FJW;_sKuM#u_NcX6t->Gk@A z@O-IK(vMYmBFNhXUZGN`Vmnj@oq}J&X69Q6DQYvkzAX2ep`ZETO@L=lE~GOpw{FB zwcr_elY$4mlq!L4Wi${erc}KNZX{9cR6oT?03;(N$uy(A$wX5jF?^be6qPfm&^%c` zBfAIndpb@cri$}@AP$_QGogTx=M#3UnuJ&o10K8+?K$8UFQbaF*N?xctxGd*S9(iJ z`mS-BuGS6XW6xh?ai(VVzRG{Ju*#&@o2nM}diboYRP3%#bDdC}XkLN{Hb&=9_5R5pD`JD!Ytg#UH!*rA<|5c2$j z-f`Q%uq*T!XfTCKN^5^M8f8q5C`xo2!`xiV<$RnLY$L98qc!b_RUJKePXox?lxRl*Nn~|vn z@i52tFafWndh&O=m3x_PA@gH-ic3$wdHPTCT)r@->fHeBIN5_3FrAOH1ndkl<~(7R zCTL@-W{_m;p&xSx=_kY$n<(t~{sl!*PtW%+^qi9hLqZD_UN%zTKG?ITCpM9|=qF-| z1K+*VgJg^buOc70!pzQ^K#PaQ@@JfXFk&IVPfu~H_)WcwdKa;Hcf+~C%ThcY`C&lN#6`%i>JqO$g z(9vhYS186|YNCV(M3Z4<4TtoA6B zj9n&wrZ0-84E83?Q6&6ULb=^JZlVknK5K!4BIl)R;@4$>R4gj%63f*=}aE!jJ^Aygy@Fe}>kEy>FEjMhc&0^RAlyXGFz!nYaTY9Sn2lT^#9TJ9)M95+yD5^+X#DZimx78e~w-|-Jm>H1*H zXv@KBirO1?Wyv8PXhrPz=bslQX9s5U?7$?R6sQhuksZWw&4tCP?X(72?4MtCv}#po zFHFj=9uOF439tp&cA~URv%A{hs`573)fLX+`BT)LjI*-j{WWs>4ze6nctD`NjlIpG zfSo9er&kXtJCUEh4GvAiE-jd*NZV*g>}X)lpD!O>$J?x?AJ>kqlkIU9@C_@&*J3sC z?a6xv4(G!Sd;@V%qeZjs#68Uaf8uK>3Z~i_)xt;~f4&@;1B4CXNQ4dk623JpU%g@r z3gk6$Dg_u!JPz)~d(|8sG~CuRsHe?3w1p+Rrj4sXH7zV4Pz_dh1|#QHM`WwQWP4#U z*o_H`rABa#;GFpC@ zs7V5nLaMP7Rg!2tLON7!CjiSd>rTL;Z*IY1>zr&kZt(>K99_p&5nukgQ6|Qt?xuWH ziqlK~YCsvK=$TsyZ0zB{`~JG4uhD$_27LMF${e1ty)R&rLiF99?56Fh*GwXI7`^>VO7w`xp&9dCcPig-7y`KTT zgvGa1TCRdT$})Ao7G~f~-%UDXniqbaXMD5gnNeTG&(!_iIC=6|mV3%umJ_}eKQqf$ zmIw7q94pIX!l^i~vW)04d_{S@>aQ{! zFFttTY|!toKR3t6Bg=~N7o(z5UdG^`ArG=6 zM*F)to)zcum1o6yD$pxQLq&C(@Jyaml*b=lWqD0_{=BFP+{(+8)4!Y2WlaR!Ei}HNG%tRad*-DN<(_$! zgM3W;=L_4{{`o%hFAsi|tHY~)Sw}^A{NZ@rH#$jgR?^#)IDdQ^k3_^z9~f zm~bRtfP3Y2dg;n7;Z-HC7Y}Y(w{Lrpebr6N81gXnzhd5)`~wc?#ZUL%i(4^=7S z&%3IWG3&XVvW7jPzNoxzn!GgYt|*VMepCgHhtCzk^Rkb!%~h1g7cUQAE6VGOU*&oI z;rjEjBKSrbkDlE;k7@s^me*f@Zw=SO*UIE&(g=8_O}lMAR|UR5@2XP9$YavskyT}7 z4f#sDSw%W3&+Dr%mFG2i>5F&eWlZ=c|4lhpMZQ%jW5W06|LxRs`(-^kUG;iyuZ#)T z)CKc*RrqG+y`8cquWzS}sR#e0tbt>Boi}l>I-OO8p)A8HIwD%h?$dX3{OdFBEBDMx zzsfzUpgok!<7MB=J@YSb(CmwwSN)0JeuSIgFY|cu)~il~expvQi(b!Y{Ncj~z^Ocs zDJST_E#R2;t#Wu?I&@2TRmtncgIm&K>T%^|4E`DNkT&lYcvhUpSDqE;@z)EJ*Z3?~ zrwPyGNkw`5;Z>H`gy+wTs=%$hOga6Na=A5JAG=wOev>w%?yBYWm3P(3m^?GeR!wfV zQ^ucnw^L8m${PIl9sg2Vg?3QN2Kblbx37MfWz73KAZ>(58uG8OBuZ=Rdl(Oc5yufMm3>*1@ZE0vYOGl@f0^7`|+DrNk6SCukm zJyk1f@ZXTHY=5`psfmNh+lu((t1q_$*Tes+z&H6{SzdpAtV$VQ{5|@9JM|cOZ&kKp z{jYjGK6dt&vNPdUMTY)-`zK{hUjLK&{z+MXp8u12{|O9?f5CgQQ{`>DKOZZ~;hQowJ}b5rzW951Sy>tXdi-U1>#`o*ymj6R z{pdH9hl!hi`>A?89=m4hWL3%oH! zt5(L8xi4K+D{Izg%FooB%6Q;k-|dt&>+_f2KdJYh!|>?o?brLy%9{0KanDLzC2`N# z&t}F@R}}ZGyq}ZfYIE(H5_gNZXNHp&v|ZX+Iz7N^Z<4t!=~=E~_t5NTXVab}RXeM@ z9_`~AtG1e5(p!CTcFBjzChSI15i;!!$LX~f$-NEf*++Gk7obP`D4R+?oUOiC(tEbr z$~9JQKH`>_EJL-At)JomcN|Vlx5&`Te+N<`0^p4;NXFJ?7D)#%(#vm`egb>iz3Hgj z?xBzFY>B-^*W_j+#JLyV-J^nyMEn=Cod4D(mKM{BHZvJJjtD@Ivw~erGDh8(CLF4U z7fYl~&-C)%W<>j_GU)giy!>}7VWYjVvsL{X8;e@rDL%T%rlD&U>@(_dcOfG9<>n>+ z3vEwo6+`7K-mp~BE+=PDAvOfa4NOE6v)~RO9EJ&RhST>|9vzlA7;?+@;|wRyD$E2dQ2^ei8kwz_}+)oJ3?-#aI*$;w(YY3JW8;K##l zv`*XAUC(D~EnmARe!VMK5%&#TQ!?n0LH9j&{>LX~J~Ly(#q;ZZaIwo16YLoYxPutm z$0KpwVHVC0awgM#M4s!2uy>g5LrQbd%}C0?XE#-wvZ6t?=39FP>(8_19wfvm12GoB zYUJL<92Z|}sbxN2GH81zt<7QWxAo^QZkX}R%qM<4|JZ$l9#MC#8A#{XoY8;P&RWN! zwbNcm+8yDD$MFNrVaK!KjUhn@hf^FKXav6Xk4=hRp?vP7%$3O!`#U}lI7Ol_Mg7n|yywC0g`X1gNxy^DKmBW@SN1)=cC7MNCwZ!sKp8R?}R!jc`@?&1* zj8fPiX%_M-fUGj_HsF@;#!MpSz|E?O`evRl3psdy@F5eg?~TeTFGpo~zP?#Ox#E^o zf3r7uC&utb`9JJ*%nMS1fn0%FTAzz=~~l^q0mi6)|fO zHkw{562(Q>YI=iL*RRvxRpWzKC#HMg)HUGX975wIPot(2spTt;^)1?g*SvYghXw8L z=T^O#DI4c488d!tYU;T03m373MeZMy<}DJ>u{CVKnl*QJ>2l|qHDb4zE_R#0lxF&8 z%6F+P^Cy%%zV7}d`QuV?*9v~Ddwk&o`4dx8#iNg`-Lw1n2YYs}edJMm-@WI9w6pQ{@z-cqu@nkUAhP@;D)?hONdL1)|C0x)-`_qlueqgumE)+L z|1-MKIwR3-2Qr*<@(=0S!)CB)JH=WyeV2Gdtli0`i8cR(K=BQZfg(WSkzH)M1jJ^5 zRP2k67R`g3SOe?{)n6nJaP=2?k@1N=(TIqs{$jv!*$$#ab9Iz802g#vLereaK^0I) zTLNURK!C=f9MH;)2zuJy)6cpQJqfqNotP9z%Fg=59`~r z)#`{$#)gPCSM_c_DV(-%q8*y`<7f*1`fJh#K-&N5hXXeCWo%^KLVYT=vmo)Koi!Hk zJAKmYV?%qRn*7=oX7#E6yDR5@5zT#)*xp~j8!w!|6BZwi(-vrWP{sn>0O89f{xRzy z_9XdK8!O&mgPQsz@sgK{-_VEqR(bVc@tb_MPa5%sm+>Ww&e4x24E)d_Lt&Z|+K{+{D?eLr>`aBoEC=D`O_qwxDY_;m*UPqk> z_Af`>@R2QA^o_$=1a6wQKo#x>H9 z51|o5!>WgeG|5~!`trD8v9TT6rs*|mcC9wK<6^1b zp{+Yu*)wTbd0{Wq3~A0nR{lJ0$UXi0bCad2M^6?lhLS2m{nDN z_IX}LAGI|Fm)KaSXHe*rFCUDd^SBeyTjAJ?EJl1ARS&0I4UMTj$*buF<51il4zHvR z{B?0$|BF4u8?ggE)xYAp@0{cZ+ zzxP3z9c_q_P;OpYt0v8JLqk~v``qXGvAF)7h7LYHaNu2Cc(#Bsqc+n_OOyOA8=-*t!YzQKmhtjeEy2z{SB<9uXv<71R6$WB&*RZ62>Ox;)Y-JB7wgSy>}- zA4{c>wA#1yh$gjp^W2cogxqG$@9>qNM@EBvh1nGRwXtK}mv z78;t{yh*FHJP40p`tD}3OYoQbNfzkL={j`K@qxoSbZrnR-XPg}_!5h@gT5le;q+sG zf4gbN7;YDFVjMn`P4R2-tf^S%pVTaNm3V4Zey*~y#0S?eT;oVyp1$le{;r5%mjzA$ zv9Qwj(0|T=&Sm3=pM{QfZyQhXX*f2;b8v@j=dpB63}lrM%il`zX(LHR+h&TREOX{I zSG@4mC94?@9{+x7na}O z$M)_>sZq_<#s^pBkUhHDPJzQ`{BUKsE5Nt!$_RzXYvbww>bd+h1T>}LRM+qOciR!+ zgI3t|_CU6JNIRd@whh98Y`)MZ4hs{X_#nh0>g9}N)!AOrZ%2wFSh?5dscW~rZnK?i zFKj2qi|R;Q67IpmNsKsc%W#KekSi#Ou#-w_qqAC)=s;oqunz{Ke15TUu59I<-J1ud z=eB$#qE()jU-p%)|BiTr`gE&0678l+^@UenpWa4!$CX`SeSbHh`mpcKVri%yQqS70 zxU!7uKO+h;kEEG9&Gf@rS|G<8)6SBQz|}^1pFT5-*~wzQSR4|s;M-Mp(!kxPY$Rs* zjx@Zbu`?Q{QpG}fKNAH-3+*nvT@@{gSvRs_-sNyUg{M{+s#xEeT`pI-%0&n98xSZ5 z#|s18O&05gg{uv~_+zpXP)ryPNcw$nArOAJSSmnfh7T@faJ+CKqP%cF*lKPWHfZn2@dxj@cYTl+P-Dxm0nd*$o&{QsXA=(~ zXHA>&EZ?wDy`MXWmX)KfJay_1 z*6Rw(HT32Gj2>t?G(G+w(^E29wvQ#ZOU`w1;ELG)$0_JP`LDQkR^26iK;Un@JS515 zGnz0ljHfnCOcN_Yd$O1HBmXMwDROw$EWL-ul|x|5sA{W<#H>|Cg)d9?_`<`HL*cj| zo+h3KJk0i>#QJxyc>`Oaw^o)YhX|=P6AWlqUMJ*WSM+zK?xaZX5B%g%kqkpce7+}U zz?Pc2$^G3G;fIdeWt^OL8Jq2x`)<2ht5~n(!!ps7zH(bUs!s zhx8?ES`+!1`B~>rt4aL`pV3&VPfI1lqapt{cpI8=+j#3M-5OCftUZcAzTd~-`(1_> zYr}n@IIjmD1ZXGznzA&_p%E+N9V9=uSzh8=WPCSS#q)}a#Pp&f{q=S0{x~I`IB9dy z7d9T2z5@8v^U0&{2yD0}D?wwBeTGp5`i@0HR-!BcaD7>ktMK|sHvZHf>#TFGpA=8v zi`#~;f}UjJp5ppAd$`QT;ONXUwU7sELVd^$;?|0?b{F9>BQ*_6Q8Gr7#!S-Ka>E=1 zy6pvySB1Ig@{9JSm*A-%xGg+z5V}wMzZo9PE!3ML;gKWZ5Cl0!gBJ~O*=Xgw@R6)` z)@@cRLPIGp?H?*&iED}}`j|4&%RZpWIEDIY!%cA-OFH7E9~GnHRu^rHM_r(cU+Eue z=d2yPbRAkDJ*=eZY4L7d|H{;LH~+x{qyG>u7x4u}N{Sn(GO&!;3Scu_b|L?a24w2_ zIggGTK+R?a;6-drQ4#O#hRQzmAW!Y+N65E{7w%~^_KClZcKY-mr~Yt-_60jTpmG|*bhW{ellg9eNjaYF!e zfC97yPvdvBQ7_O??_}{|W3X5(ULoB4%2E##$f>BbOIUrz@>H=g=UPsrdELdj$^M&G?;)MqpNItQH>5n`aTk?^4w;kZ%2tIBWnHwURDmHSWXjZo6?0{X zhbz)9{4>1#WnVd79%faJS{cXCt}RWWzuDkd3~5U!xaAJ9z!*dNH00sh#6|MrC(s~3 za*03CK0Ya`mMVI%pz6`-0|$RRctA$I8d(0wRcl2hHP^e6t}^=tHA9U~?Aq?0?^>k{ z!A{P+K;l!4PS?d17;+r0U>xp+*H=92-NO56V2=-xqm@UI z^_cZ#kvKT(OU>qoskFs6t3&bN>{o|B_FfhEQ$b^yp^)o6vK_#krkOpd7iY_ci{eYs zl$~Y?Vy$b6vYm~jUi99gBIV)I__$IFIGmqHi-b#vOZd2FPz-8BV^ ziwW$sXj%pns6IdIYQESEhFjv|jWPc^iEEGri|<}Mb{NZU?imoxsv>RLS$}LrlWsg( zA2ho#S-iqN@1}pxcj3F*$rt&OK}Cy;3TF*8-rahqd)4cuE3ATg&-jv~e08&G{pizY z`qv8{>LsA}WjU|!;u&X3-)q@iOghqUJ+Jqc=Pl;;Ggj27aBe@=pQ9|;J%g{(9AE3> z%W2~6|0#{I1RmY`hcuRq@s;20lISN@Q-9`4Ii^^$AjN+&$M#51S%16p?1#&VZFyDZ z+vohHg+5#Vf2G4Cq1&cIU*#v6s!>s1AY_}S!5{Ojw0Uk{BF6S<=A5<6-kEcetr&`7 z{De350lGvlKa~$0>A%AO%B-F4!Rj}3P` z*_>KNAkT1UdiF`z-x7{5J`N{>8i}sRK#o~M zL!%IH2@;HAY&nRPXo@u;*1(eR$*>GVEbDWKmqQd)JYu@&N->8sJ|hvml`Rt9{UQ1} z9>-4cIQ^Vx&WC>bsUG?1r~J||9>?RvSr)IK)6cQ^rk{Q~d^rBl2qnyRfQd^p42W(Z z$`7u3?qY%?W;Gps;{EXZBOh*XL(MGR04lih1J&oMr~E+qN>6C_T2h%3#)`Q`VYrZ|LhCOscv!gr=yu=W$Y^| zCgw=mEIm+PJEK0j0S#J+sRJtfLY{!F>?s*@be&P%tOKjivD307*jejm;6zc&Z zCx0k~b#CLc%<5iSJ%|i0xciI1f1TT7K(TJLo9MytobRw8NX88&)xa(%X<34wCVUK z{#|(axY}d-w9EJu&rbh=67d#saprXPN?{>8bo{t0ZYKU|doNC>&zZ$Xr_a1-K4YKE zoPLpHf{|_MaqB16SjHKH@vtEm( zi4ANb|B_7<8(bHaJobX<>v~r71&$sVh+}}|Wse(0{_x60v@|Gv&3Z;#g}NwC7Y&|$ zBKoj>$`H0s^tsb0qt`O%o+>N>%dB@0RuOg<7o%D1OpS@3$~6Yh0sb_-MCiIp=-KKn z*68ua#TO-m#21f0j(U2OZny5V_8^`if>_O@8&_Rn*6yy|uHCGQ8bfq@@_=W+IZ$(` zHCzXjTreocD4-n`MXm?MRsM-Gz*7|P;W1OcgDuCb4gpW_H_;z?2jsWLxP_*GE%^!m z__HNv4;)bU9nemTUxkZa8*mr!t4yVrlrLcMFA)cio-0%qF9RsSy?gjD%YO;~#OA|% zvMl$MxW@n`o?znvg_WLn#?QO3#>~-LEZQp2TGLXGpvS1RLjqAK zl2#T@J1Zy*K0L)yz!$N4EP2yL+;<}u?cdLqoSu@^cHY#}mq7icD~s;eiWU8 zig!osN9fu|doIjACGua%m^MslclX%*L2y9)De@k85Lyt%BDGFOzj*AerXh=#;J&~a zQ~Q7)9ZGj-QR=&}Mvc*AFc%2N0*zd+#q<@|ki|Ju=*B5pRB>dnlo;I7NlS8VnYw@S zlbyvAT@NjpK48q$Q9W>RY=i#e9Q8V`nQ^rLjGt$+z?I^|-2abil3_Irl4K5#(WCXVnF{RC$I?`_M?D7Do3 zf@Kcb$IdbfZak)#-U9KqZKihGZdEagLVbJ1kJhrd_UC07RFa7p=(fq$O(QTPUQB!Z@$=dUF;I;*=5#`4Pckn ziA&-ti+%6`<)G`V5?@lFopybv)F+%_BZ2d2tcv0r-Ej*k;T6iR@VkezrTTwGn*Lw5 zln)YP3)K&py|^*NbXMO-Wk*SRe*wL9q)!loIBGUTZ-WFzq!NOu3FwN}v&kbbZ$bAp zTs$p)-E@`leXqQ-4+MXGK|2k4MK67T=rvEBtBZQN`0aO{=mmn-Om)5`5@46y!vf#euF1BSq!8ywzYOS+*pCG0)HDJT{t%tSZwTP(B%Wl`a3hfgvG|rl z{aEMC!}6{<>elY9YPipQO36Cybjf>a+miSAU+kWtLzaKpIXWcD(50>xOTY}!K*CzC;9V;$2PpLha?+~vl){^bKUc+ab9el5C%h+~{_H~VKlv9^K2m*+A1?UgY zNPVGpDPQRO_*Q*1maxY4+JDzQC^XAQ(uf8iQsC)h{7IorFv6*)oboauL@bEiW zi->ALgL*CC^;YCv`Q^Kk*I%BPoWihOOtB0qy`UvR-ZrCGwg;+MVOX{c9TYRQTqcGxU(}F+m$dPqMIrm*cj=Kvv)+OM(anI0_{DBb0(|mNAoX_ zduZ9H6Gx8~f+>Y`^VMaU!E@a?aYdYgx4g_dhsf<%aL`$Fdk!V?Nx>&x!Xl zT6XW%reiHhK$vj~o>L6D8;XSS&h&B~3dWq*@MP zI}GXQG{`hk34%nO7E1`-RvHr-&BCB4F}Rd94BwL}@VXgqP=ik!-g7tmb9c|-!+Y)( zHTL#oOB?+36ebF=tNt#dgiYYt?Ghs(wtXM)ZmL6ia^T z1zQ8~nd~Yk3gPyUbnN|#2(fc3wtX?DskjLDaChQ1>#wU;U1aUp2-fZ*zKM6mcJZ$A zqHD3U+xjEJ`|r&OcCAzvJ9E~*JAA<2Zoyb_jApG_^r?CCPGL*l2jY8tw?XjPKFS3r^O#ThqD=jDn>K4^UU2&AR_R=+Ua{M zK#)&m?VP*CL*iY`s)FMVFXlt>Mw=eXA*YTN&n-Ian#_hQJ`9 zSk{H0l?Gbv)TCNE(=MV=Q_I5*HE+gDJvY>x-Re2IhQ}ukexEmcfABYw71t?3m%dg|zI zjT?89A7c6~bIjE&>c^Rr68ra0oRrySB7IJ5olrNpX3g3S5*pN|4_89v&si_rlPbqg zk6SFZe&8|92f<(e*W>&MYsudeZ?pD#TbSG|Y}I;;`ZV53oOeyb^lh%bg2gIp$tJ)e zS_1$pfGlrAhT#Lu49(B20pdRKyZB4=ReuvpamVU zFL?tQ=KkZ~v!$+qhKO-fJ#Jy-gXz7bC%yaEjaXz<4fh4rdg@+}#bPHu5ouySQ)ZmwumQ44WHBs7?`DKN1z_hW1`wuna^Gm zjW|0j?!s{VFXTtv8m1$%FNaLc7vIPpVCTdl{TOCV=SU%4qe&H&t?*AAfljYM8Dp+R z7R>#h@t;ww4tqyWQtF6k;lQ}5JwNICiG9yHK_4!&2)(VVh+Ptq{5>T^yiIbE^sE2z zrk`l`{!_XbgqQqbe5x;bbkqC0p{LplfF*ApcF(|=gB7U1=?nQ%DC!cnUe3P6dG&y7 z8j9s{9;}{K9`&<>WDA{24w*nPMVdn=z4Ks?Flf$e+BpS&M(`8uU2SdflO~Vm>v0w$ zij;qgA{N59a*C{jt2tQ+Dzg-QZ!BzKL;S!T0D1^FjKdlm(;VBWFg15zPJ@0J6K6+y zN=$v0k&c_qZLy;!eSG!m$CE})Umza+CN%UL@#uo-o-{V+%h1p-*_;K_)i%DS=!0u#h;Sa!#sI4{K4l*)1UJgPBx zMmmSS10!}r2c`ebhOv{IV+Crwp2wes&PXd*R*tuoeG0T3+O-o-CJ zX$~Tv+$IN+r&#opC)Rb$&0T(Y%;>|*>C>n?OO9zH z#6)A17piNQjQr|Iad5S^^MEhuk(cdl$V~NhIMq7hei4TWZc7Zj;&>}%tGeb=G4#(1wLjY-V1<|n~Zr?O>Y0b5pl%&>F= z*)nx98z(lFtfzPH?>wDSy!&^Ob0Ur9ZXs!$zTl{mv@zgcRKV43d5qgoGQWh2p=xF!)#VV?ihhkUr(n5xz&+fziXjXwRn5Dc>N^n(0|x)bn2$u zw@26e>9fMoS)I(u4&;8>t#G5q47np#?0Aa}qmKRKZKR@Ys|6Py`D)~nwcDOF_0-KP z?JczN`WPFxphoXNYbPwM4KQiVXu!k6LQ?Q89o_-Va=Dz%r(*vlzF>Zvn!xLb?(7i% zd_ljRS9iuAzjEbxJihc>Ff}E)Yf4INd~!-$Y)VQLdm7%4G3@DW6P}#CbLZ@y?Zl0r zeik>{^`u`DWk4d?D8+_(Y>OnfW17pm4jQ)!(p!vdz{SsbZ{|+O9?|6NT z2mUR-)^|b88o-`I-c~N{a%-uhm`h6f0x-JIMoJmlCLsX~6g$01M(aySO9{sk94*e# zT+>6pQ(b5fbf-a{ejicKCb01f4fUx$$$;_n+omV}kD zW8zkW9n12c+O+B8O`EpmFEecR6yOjMA+K15}rC^pPmxRz8qMcFS^c>@Fzb(Xb zMjs_!r62fvLv|-V^CR@?UTxjGk29J${CK(Q0XeTS@~Izz{{hAbpZL!(7g&nHSe#l@ zzlZ(8-)Cpwo;febMQMQ>7;E9D<>~_FRhwPV&7Y6{;WZgr6&e zKlk1GLbm3f2F=-$<_+#)j}-pvJEVx|ND+&WB4!{(SrapT8;jiBGddKI*=zAEb+oUMcT2n z3el&2J-k8^(k`-h$`irf7VSNRq(mEp@NtaCRZL5q5KbRz!lK;NI0?sP%2h2L2t#g& zB`0-AVN>|ID!+OCuQ8K|VfO=ZQl*ZU@%|BJ#<5 z&VFL!s}0Madu-_SQcLcz>`sl?c(DmZv6UJA zvi(Y?5(OV3)>7eLd^f^gI3)!4SXm8^&`32ET!)wOK#$`*(~&e4y7fVX3cOvs*Qo z3;fm7ZuoF2@HG<fJ9=_p; z7aS8lxZqbW_~wT{;h7j=@)MYP!AXn&J%0Q&@=J<z)(0n!)dkga65&ixX*aN2-uOTBw)^MobDNL;GTzE zPd>W#$>N9a5mz3X+pqTmmYv(P->$hcCX8QqQ~w(L$oUJWOV&S6_>Cz2F_5bxEEuEE zX`3`2HxA-#P?O1TCYILnSYpf-&}Bes@|daTd(ECSdByK5zMRwR{M0eYsRLL_dZUC# zTdm&GdFX(Fd0n=yNqaP*QMx)}$*V7Izp!{sPUp@!IS=KmS$tvpORp{&{lTmEms+~@ z33fPY^zOzi_rLnVXyW~7jIm-#$CbB8H$tbc@Bel^v07{r8^t)bk&RT8q;M4R zBd?pFW3^&LeX;ISFv>CvvUmiz!ey4?NDo1PmBFuYJ0FG+v5)jT1kRj2!eZ;O9NvPE zqgfE*x&=n3D37IP=*uC>msmJIV-<=k*ov@-RU({;EpJ|Vi{cCPPk0h=;PbJ7_pH7g?GW=|#A05vCs>kY zJDkhDw?re|yKJN6)(g|<_&>HMTv`_NS7;O|xBh-}`OL!PH(6m$wGaD`Q$M<+QP!=ghiw)v&G1_dw zNK8D+8Y?i8Ef_d-pcp`y2D~@_^xU~mKR$c*B)gC86obV|u|f=F z&-0JO36_Gt3ubG@al!8J0&2-*vp{>$8SpC6GS}MA5>21PExR=&TiP_>6tD#S3ewfb zN+-zY;2NH{w^$&dOfk?lTceX>Y*@=6-&Q27Tp~^*&cNw$cUpQ{7E|0uJUk5a$NWAm zM#w~Ji2F0{Ccn*m=JQZ;(O4TZdPkQf{fA^78pM(-2gZTk;pm8j3dd0IK^3b9*00xJ zU%#GrF+RoD>({FfKlYd_^1!%p2gbc|VEp(4W7*g8M}hpI_n{wS#T@TPqqYdUiZ=ws{Sg#dV zR;;+f&#%0^V#Vc^@?9j$G$iA{Nb>rj3@Y6Fd|}@5Js*v(8x>VM|M=eJdB^wcExddA zp29J8qN3`IDcrOCZt*GBhAcrMAMu!{rMDMa7j>MY{!ldEOo~M>MPU(kUg^m zh%VY*w9_bKZX8Z^;)G`#`J^MMkVfMfT)40KGzHdtWMmI}nd<#F>U{(CB7B;GAPN(r07}>&e5R*3 z!_npN1RnI(39+bli($mAuTHR-$MUif&8KWFDA`qoe0*Gi z>s%G`vD5-^vZ8tsC6y8iC!B#_0Wbt|72w9;WKmkb^N#33c_bAT(%_xXO~ozqxv98i zJ~tKR@(~T17k&i=;65vp1A0ER5_B_cNdcb?rCyB@jn{LVe2y+(<|tsVQx;K(Odc2& z=FvCaI*)6#PafbBPaR$g#z?R04;4sMQO|6?mA|R|Aouyuxu;kU#7>yWgZ~<`@QH;( zv>(p(o}$m@4^8PU^KL}mZ)M)t#EeL27q;6Rb?4<9k(WQD&qiKud6{oz8(=)!)W-5wNk#JM&Q0ztw9(y z48#(00@mqP|2S&0C=qu94bTTT{J&`15>9eLtb_hy2u@_k8yCYaUW~rT6KV#o-K+&M z%d1$gM7Q_zwtEKe60gegGuTJU7wGRnG1l=ko@RGC;@FFW#h(u=qx3V%CtrS(%UXPn zh0`Y()i=X3K=}gwGUd0I<==Uak^dA1R(~IK7kHT=KVtFa+CKc)?qM+cY^Wba@WPHz z3?(fwQT%S3`{vV9KP~k0R>cKo>@NG6A}guxz0ft-4oeJvkOenF@dyl!d&xdwT<<e#hk&zuomzb$LfEg>N-ZB%}0+W*)v*9YiT zxTUV>YMrNT!J9=Kp&&)s{(8}la5 zm^R_d{7t?4^y~XfBXQ#Mmk#h+S$TEXd==){MRLxK@guDFy<(K|JM@D1NAuM1cp3fZo-oU(Ng36O zU_^8q##cF`mNLV_b!xiOM6{Ze(Q@(PPX-RYdq|tzt%ql{Y?VA~!R#ej9Xqt2*`xok zJMYdLng`v#c0UjN_5o+#{!3mTJH~F05x*y8wrk(LXWR5|+jkzH-=%YGVmom*J|y&~ zA2+-Wlt>SOrK=>_dms$=y0qUbHYQAZ$9RK&|ZY655*N&W-N07)DA-=KG) z4;&*=#8$dzbu!?DrgsX)#|k!Ql+EjSL-vuJr^;E~Fge%55Oq_bIl;qFKTY|lxG|l< zPie+@7vuc-=*f4Q#^ID zoC*%@_AT~v>^nnyIm)Jj|5-GC;>?-MYeFbmJ8grfA;U0s!#(|5A*YB@*y8cgjt^cf zn;)jt4zB5$BeDm3-&+IENGF0yF9d!A+foyAVOT!qo;4U8!+ESu#b>hr4S0q*KIZv% z9oN@jeoTBE^^qO}&M8MR+24;zzjm!`w$M~u!_e$HOLV32J|n%S6sViV>W#tA7_3Uc zuYN$(-MnN=&1nd<3VaF>Qoq81X*I@T3>Gn(!;_h`Ta+IQ zPpHjA+vWP}ZpN@}>AN193)6XoG)Uj4zl9Tf!H|+?<~{YAvdFbWyho=3Q~wWM*xmy# z?x2<#Pkt>r>%1a9s17&|+@{%!Bi5nYJ`%;lf~vRqx*Q9jGdU*~GaQ=X>TGag$JyW-Gn4`Q7PCsh7pV6#QRE|q za(TfbW+_Mhe)o+HEHXYEKDqf}x*M}i1jdLLM z-5BTCj9#A#(jJnH*ol#^?9;VHu5tWFhQm72`*|Mx$!`G5bjh9NfI<*K3ljv|W13Hy-& zJ01=zo`^E=CD1I0lM^*DK|#@w3>Z)>^ix=VD0#(6{>ol9uJGBI_3NT{6~d@*I6zg2*gcmN6(0J+4#mEek8}x-0;L?#fcPxxL^F^)YJ7CSf ze&)eiUz~}${~6X`PF9?qovay`HA^(C(I{)qtgJ@r{H=4|I)8G})~$<9o_}l3)>2FV zgp6b?G5Lz5j|@&)@Fd;o?%xu@7IJ1YFHg49>${TA?!|s>gfqFj zyY+>I;$LuZk7b*{8>637j+AwHpMP$4d7po7y2vm%_VRIie>dy}`Kd70sZ0AP&>rND zGphnnv01e`8PfwjUZ>qir12Mz>mZs`I)YzNR0Z9yPI8UAQ+G?ivhM+&>2V8pLE-&K17Rq6HFmC3GrxxG(DjWSG-O~?|Q#TZsx^+^N)+o4cXc? z(?_&zJNM#zHq05@#Tx}H`>l)}kLVW_MN8ey_<(-fx9@uXDdJ1MSWNz9*pgVn4Pj$w z`?PkW#FjaU!?-OH2M|X(6Sc$)C4c{sw+>+>w=x=c^5m1sW7THEe~;h6l%>loOPfZ8@FSJ*m&c{)#-ERPM@IF)cjk?HuA~vfe_r`zmw0Cvv}2c-KGUh}7V77S%jAuBpbo4LP<l(W4)@hL-Ht&F1 z7Z-aec9~A=pXrCJ%g^WKofqGgX|}A(Y@5Ec$Ohza(*R;51I^}H6O@$EAseVkjBDn0 zO+!xuLXx*9K~df9vm7ndKD}tT-S%mH2pg~c8z{51gpYG5+9!NQMjWd;6mf!iYP@=Y z#ZsRt2JjGd1gxXC$FZ03}o*IoEU zJkg@Vx+f2aN43)zR?HFai_cth`9YT6Iq%}}k_BL?8&(L~Dn>B4M2CrDH-Vcw02r2f!n7Z~e|MY;rZXVyHl4iyy(jTy;cPPm zB&99zw*j(yyCa_@ve*&&W6nc|4&ea~uKSa(kbH>E4pJuvSGFtPDC$sbE_PsmibCU3gh+uQdQS{vI{?S>p0b?nj9H3}+d@mG<5L23#=?!V)W0LA=J70=AFWXOm0dzn_P=Q3U_F zFx4)}r4>lk;vza}zkMO(MG$B=nOfSqmIFW_Bh3Vx?9nE=@W%S=NhjsN6qaoqUam)5fif zs5_7qU<@+oIvd0$iAWsNu@_US0wvycR_#>WSgG&&j&Md<-quEE*~)eUf1Oxln|uQU zUS`S0z?Sv^Vr|krYcqD?VEmxXp)KQ#GMw`fK137-L zleoU2e!^GD^#FNN`5WwGIM9Iv)i+Yv%3sDa6+gnU%*bCB_E9_vE^1M@UGC{)mUKRj z|AaiS1EGnu(DlJue%Ck$A2**rUjP`fES0-_p6}p!3qx4y2;~MnhaM<4<9Uiveh(kB zvSzN9MM(JKfcs>DL%M!p6uYKiJ!`utlx_D7;JHd21b;6E^zO8g!0Tn1HoPn?9k~1? z(?*n~LGs)s)9x|SP^ULdL=yXeI~?Qm!`f;%)%o+XP7nN1Ww72rovV~M0}p+pkq>pg zEYpC8J1re`{v^|Y2c`M($z5lB$U^;DZ8eTeQ_BNd;P#Ea%}5blc5a5B|Wzq_Ye@ z@Nm}&%fwe%3Jg3-&_#jH5Ae1G@>ZyAq&PmnYKUCZfzL!sg#8MX_N#2{z~E$+!4>Yc zXKdJShTx0zl(OM78?L`NB5TI3vOzS4&tJ?GGV@L6Vq@d`n9I*BjAd;d^GL(V zOMy=!=8TV^-b726>`+VHz~G1)4Qquhs%H&$cCH`W?+&}G&DE>P*V_~p7P{IL;=me5 zt$Hy}JMH|b;KXObZO(&rqMNt*AsIQYCflzjCnp*1)+lrt2xXFMc64};X?nq9I7og$6vlRC1pP4!CBj}| z9;9^u?h1BG56cd<)(%vIEy2~;qMCuhp`F7W{py(519b=WN7bjmI9!umz1fWdQ#ceo`x+kuN>gK#nKqUr&`_Rb+S z`bD^LcDXUOhX$xMt34g4K4p2v5qL0|OLVW=4P*_*deAbE;`8~3z@?~r8&(?u(_mrBM&9&Y zb&;Zn)QN8JbZiI|z2P(1d3exXFUBOTVpXS34wEI1hIr`mqRA~8sJ;|UMfy&XBHb^i z^6vK96|^*kBAKTOxtmmLI@ZIeU50Kk%U7k90Z# z<))RpS75xBW$H8Bu}iZS&-#{JR%(tD6Ue?L^E1{Z_y2fw#ZtON)eFzYcXV!@+%$2< z7sK;gBqzk*(~i|1JREyHi>J)FclpGr(`JsJfL#ymetqYES3q}p}T8b?M}3%nzz*Peri9QJr-PpwlYvsF^9h#CRWJN|tDBP;NJ zBjR=P!F!^a@TT}oc@_sonojze0*NO?;;0TMc2{9$DtF%*3y;!=D#bxz4Q0QO5mR|u zRYSH^L6bfA<+EO8bszxqak3QOcS)qqfRX)D8@;yHZjOvM=_ zk_%++O~NSt1;5=+WUED-Bx0H-85CgQ$|R~@Pa;+su2^)O(GW_cWM`X{ex!x6CJpKh z$~!8NExN$>dedVmU7N9$NF_mEU!C46IyPazz>S;qBv4j#!O+?5Vt|xiyW66L=4X;- z?}7TQ$r#$3)_^hfGRN>$BY-BGv^q@3e;H$ZS97w{ChpmY>$1Q~;zf=J(kLGtq9hqN zj2yngF=aqSSel$3X;#)mzZZ)1!ALLl`PfuJp2|m>!ZGDACSTwF@zSNrh>|}`ExbF_ zX8t!`YQq}3Rj<3ZbZ8aE)HY^0*mp#kJc0wDTUhnH4c(%(M|qpQr{NH3#!8zJYDLp2 zEcrTc2H&l;ZD{Bu9J%%%qv^Dl4XaD~kjY0rf(BwazayQ?R#nN}o!-3Y!T_@cNup=f zrKH7OTg1dB4jl9ZWQnopN=pa!8RlsT8boWiX<=d>+m5;PEGY@fAlmu}s{mCXo5v&RjIG3BV^R9 zyvZ;XisA^Xp`pi3QP{UHtW9zI!CsfVU6hM2h=>`NyOS8&ttvM`{+&zz=NnlCZfpkS!MD^-Wpum!uCH+ZtQ= z9_RU4!`NLJ!^X)-%$%qvrid?DLf^-y^{LOM=r7|pyF*+Z^yDm~o zdgu4hWB9kLj%~W9Z7u$(-i&t}h~q;3=yz{ka%}aYI_>h-?l<(2>i*K8F%&?Quo{X4 zm!+gO!?!{F`^`n`hsVVYU;oQyJ&IrGGp}1yyS-_*d42RKbwvB|8#e9Vv|)VvUz{2J zhs++*Kf?*WNtoJY+S`bwM&O8;3ZBiKC4aFTHBCRFOy~EB*{`?;c+o_ANTpXPIT{xr zO1gNgHM4lJlCkIfs+J`m@hf4ihxJxRv|0P*b8LvdfHk~#aqoIkP9_cTO~{f721B^^ zrFePNCfA2b%iRFMBlSx>vT$t?AQ-fdDE&*)9_=pIj6+evuy~!A1_vuTr&!{v0x+*s zPr$C)XP$pyz?htR$<4MZ9p}F?t7|=eHv-6q+&QREg2?>li-@x|ht6h4i<UT{Bqt@NTQ)XAXFfY;0{!+P;Q%HVB>6>836+|LGyFy%)# zZZAnJlFD$7^hrmYkeika?IlTjZ<#;YOxNt{y;OG+(UNMy2Q3%fa15ScMh!Ryt|SWs z*9>?5*F~6$SXWA~O>kP7>EP9;M!JNb=}w0wRG0d|ZzJIYj@DHjPH;{UoVFf(uz$yp zok6cL_m?^+(`)lqu3(ffbTO>-FZE5MUP*1X2Oq8(x?2nxAwOoQZvL#2>Geye$#l1F z0MAHwdV85}@RM}lQ=}(o^<}E0%WX?q!v7^LUJ8@@1MC_Mu$*();}hW`eJh$x=#S3& zEXxzi#gN{JMyo&M1mad677g24O1B&k1G7bI9@nn;3cO{zvS;&I62}Kbb=xrhBe#J z{aLJ?e!E`>!_8zE-ZbU;m3~yu3kAAL(aGpZZ_gY(Y7rkMy&% zeaQF-1NQV&`ry5TK8W{Kx|DlwAJDqB&q`d{pT*h%oL<}4%JuEPronF*NZz!6;DG-% z=q@X9X@8$#5-qRatz6{>zrI{+|BW^e8V8_#NH65)Wy3G>Gpzlies`kW#!Jx78(e-M z<2!gc`A~iazdl%P{}?%2AM9)&!_8zE;lLU#^^zHcCT5e>_8ejv;&MDYTDr`3YJciU_X0 zy#7-%&1YH0*QKf0;PSmOFy%4Yd{)JF`S%D-4CRe=sDHw2*^@=r^^$LUN?X#Ea`E?RwPU!qc?)kiti zN0eywG0r^NCX1e9FuZ`-hOp<}@SQNzTKHy^RLP2yqcont_PNq%3XjYb5Hr0z9B=5h zVivG4zIFKakB}Dm&6|~{34xQHb9l)8H4k196FgY?XSTm(vQ%R~S{`LgAbV0XQwn-+ z-7#=nbZT5F$=Fmie$14j=#=p8si|>O$+FVRQj)Gq#ML0e%TXBt(QzH^Co@xH>bWjJ z#~+|DhqC=j_21+9@9cRy(+P%?sV`^%oIta0i?=Q z=R9HUACrl3ud{vdO5Z+vtAk%_|Clh)xK}OLx3889E0hDqZsLz<_Z`Ob6_}&@iWO`} zh{{Q;ji!X9W_qeQ*PZ=I5r#iH_^+9nS^8k-aVx)hY|C?ZD0@1P>78CF7~Hk{KMInj zk?HNlz)1o3B0^L=dCy1b$!Sx_>@APpd;Q}B!p&XpnQ-mikJHgL^oqe^h+uNrTd{DM zSUF&l21gQEajEhl=)*@{b7?q4n({EL_?CW4Y3Zd9YnrrPsozYw@naGRCJ1ddJW5XUL{h!KzBWISZc|Mp- z56ZE$iy#?Yr|o;Fr)BEH2PTO~Nir8(h*r&4>?CrRrQnN!dC9TEVnPdFBAIq^{?e(N zO=n`RE6Q56h|6I8VcfC+I79dFXXtm8coxrl8J)J(A2+Tw{)6fJd_y1LGg~V+tw*^v z^kybQFN=8Vkcl}chmO#3Ll|iI$RQK79I~t{r{l&%c>(yaQkYN22i$E*b%TyGQTp=G z`>D(@KEO_6d-mu#Zg~ILDu;-iIHJ7AD&@|}i>v#22ld6zNF>BUM{2OY+(ftWY zAhc24Ux|s{N>y2U9%i?l*jfRpkKcN1GF6Q%bHSHAi_z zxiWAonM|Z#j0^hrJygn^8v-x>Gii)kH!s^Dho@Lme<2c?yfsj{(zxJ`jM77W`wPS# zYYar2HteYr%q)8{jT)I!Sbzz^C3)MpptRJHdHtm4iK`hL*Sgk4 zna#k;oON-&i1$_Ptc$XfL_l3u=BOJYza~CpJPQ~WJL@u9oJCz$=BPVB{#2ZYBa|k? z64$yYv+*)V-CKnY(n{$kJP&5{eGhGZW!j55XgC|cmex-oFF>DAE`_7qW?&_d&pwRq zJ5WEw^s}S>GSnXrI-(r)QBLat61AM!1rz1B(ath2`l>6Z`ige$QUXMJUQvT*dHn>f zTneY(g!kzX9@?~`$B_$Ow8zF2zEHpkwCd~RgZFVwY;nL35*5xLe(TD$AITe7yt68 zv{reO!TF}@U$PR|>95g#;YZ%B`jS9{7v-UH4Crtr8!wNM zG-)l`zaBQjk0`gnqTD8}1s!%Xyx_N)#xr}9`@6>^lX!^2L;X3FqdqNh!UH)S^;>_N}=<A5{_MPmOmJN?aU&O~HyO-jY$ z0?lAz#W-qC%}F$vttnRdQ2*}3%SP^8+_zhH$lPJCT`}edlK#eC<$yBq_+4A39~-`X z{RGnPI5z4e2L%R;W!<)3TQA&Nxomd7lwNy|FP>F(hw{TZa%{)PPdvPQuoM>BkqD*M zdVyfzW%C=wi=FqO;8>9_wjeuFj-=ZkIT|MvVXch5Z# z6WhP!PBMRWTn72z%2JF2GiN456$tg+ZEl;7> zT)8eJi9Q-*283J4^w89@FKe<`bIghsOon^ulXAI^@9h)kj$QW(_N{Pi*do?@OM>E_q{xSbd(Av z<2zt!(-pAfLcVo9*&2b%L3g99>vdSe;ITQ464|WwKCuA^HDb~^gvtS85E#o1HBusE z74pE#1E%Q9LuWBLV|3-^QYTtJl=%#l-fg{!q zR5UC|Tq{%)mz(qSG7+jc5*0SORfL{yF{XDfj}31?m~zMfF)%1~#&dh``rEZ%_f79q zHu7*~c+?(cO0V*}S1c;d%NjVZSA5%euktjeCcZ;@`X@_g=1h4$yD+6*s16PsON8t$ z1#z(v;$;YE04F+bnIeEwJl*BxCT$MrO~#G{+GEiJPL9u+>Xfx!DvSpYDD#x>ub5Cl zK6gU6V1X)Z)ABet?@SyUAN8sZ5)Q|&fWt;5&BFV06EX)l+MsWA0mwN10p$wTccwSU zRO&_BXF35J3oyF51IK94_&}zjnY+mpU)FgFUZ=} zj`Ck!$``VBwxRw}X8%oPvWDk2_rd;)rL!RDfr~TnUn3+i1%d?jh00~*ax#6>PQBE$ zvro|DjjPkcYDYdY%_$rKx9AXN{4my||F-lD4t8cZB^GvpD=a3X^pdmf0Q5f}n~Svm z4<69ToU&8jF~qP~I6NnkSAa{byVE)2fe+`~D zOYN`|P@qG3L8^;Mr`@qxiJMw8n{ z&j=2TPa58_+q&%&7b!U(-aL5pV1k2aFzI&fIJjxyRS5~5I(16!T#%cdo?Fl{wNs}q zJyXIn>V* z6p+w40vWJI%pCelqn0ahId72iR|N5?Jv#`0<8HZn$ zd(4CV25NmF?#|^Kc3T6zIaUXxzO(-Ay-VkEz`%xjcCG+$J}Ms@3)%bu+XZ9HHsxbe zSHObMnFVTW;j0$hfGo(T$Cotk(s1@FAW565rmtF%9Gjk7F^LHBtlHZK(ZB=OYjFhn3dDmm_6hsDf!L=!2q5zBq)L1j zCJ5MCOIhO(8)_=0ggFDBED*|KpYkA;yL0E#`F9J((!Mk+XLbb5 z^~rXqA!?srU{m+cQZjJA(P&|o7_G!5JttfKvig|v-Ovb2h_a*l*0JL5LHF#uY*SWd zeEVesS3i*&uAE7ZY?~O+Au+hUe@wB>GNM;Vd19fmmMr_E_lUNU+t-$+md=`)l3Xto zoBtLW*DSNz8i!t?>vFn zp_dEHpqL6kDFv#0nx0rXkeOVw^$?7=R=PIB{OUc_H^e##)m9; z_N+Jp_LY^!+t_$Niq7S<9PuMs9;`3N9jAzAi629Lu4MAV;#lx^0@w*_Oinf?7&+Ov z!B*$!(sCPUMW-(DNKhNuFrj05`6OZ>)5Vmqj^zOZPgnIVGtc?HYtbw3%_7}9eX=--V{8^JQ?NrTBQ8WF?ZVfODk4vk=s(Ir$1nNz^er>%H_pCnaK3+P zb%r=MBDqty_TfvyOsO&%&@J7Xkdz)DpAs5N{t{v!LgCxbJe6B`@2L4#q!J;ZB%)vM zt0r5O=S#A?cQy2iPfG1>QsIUUVr>SeLsDtnif)6G_@53x z@X@Ik^n~HA4et@Tdek0Ljdi3^)k@ua8}2f^ET)I{A3kAfzx4e4^nOz(496wYFYUgO zjOa0=dKDIus%P{VL2lgr5+VwNaLOb#^~PveBZ68wp`a^$jnlNtwyHL*!) z%gfoi6SXf;0)2dt>tj>apTM`(^`9A1O+jouz>lP%ohMj3C^y<%%4=vja&^%9H?lap zpKwmAPs>qXU(V|fR{{*Fm?y2YUBvO1)0GUggL0#d+U~pr?Vvt*F`TxKIVu7V^vVl* zXI35+5dtHC%~*!i&BgscQbyi7YsT%fE>i-Kt$1JiFvMM?GUcs*j_vtur?VD9(&WW; zJv$d{JSZN}+NJ%`Q@|F_Hg)lS>4!I!`5tZaC4dF_mNmQFn^&jDQo5s260(&q+B{{N zfxnXIh~_8b&smPNuw2E~|aE_F4JYPUStu<7CR&amN== zKQv_I#Js{Dv&zU!(+u{yOnEy!ePBu9=sPDLdAUO;uSjB z03T2vum3^bV)zE@k@Pl4?6obR3(xdqzWN6}jm^dyHqd}O?g$B_EH=6m;D5VPZW-0-D3stYfEVb5)HMiX|pdvcXuicFY4eye5>y++rtA=E^ zwOEIbBhu(w=1@a{(6*(|3_nx5%7V0J2FVi6|B-W;- z>JOLi)pN<7--7RiN<5@oMYhp@^cb{sEup6mzfr(lgMfQFje9}o zcCY}|dsqeavLx+>SZp)Ey{z>1Rf!(NK+2p9>;PGEQaO#Jt*1{eS#pvjk|L6La*6%= zg}YNx_>FQbb@wq+v~ahWL5fm$i-S>b=~As8{!&ic@3QP(s2nB5tWvRM_sh!Bg}XJH zk+Z;G;{F1qG)coV;|Jv8OTg>T-TrXI6z7q32MN7@gikbHR>mx{l8n*3Yk zqr3!d80nt=NF)bMB4^3b=k4vDCu!tUvivLi2E1kb_WK^~w*?(@{G>=f2}FEej3A#N z=ilq6>=SS$eU8#gIfX7t$tUzSWEA2`|FqSCVaiO3lWMsS9@> zs{Ez*a$=?vvf;)hTXThce%~CuJS#udjp5RSC8I|#87 zb2rqbB8$Qg7$cxl^3BlW0D7uJ$j!j|8*UE6xf5&`LkpPAgG)$aJPDSjcb&9gQdjze zBu+b`oH{bCeB-}K*uOVQe^<-9cAb8p$bMFATXbL%eX;T13QSu*4jsbz2P55OLCh?D zi3H@rM3@j1Q*!pmzrK2v3?~~-D*u`~UpaN7{H=Y@k!36P5`wHy=k8IC&P-Ky8Q$gR z(Qd0hF5QLs31f$!7-@nuiX}*Jw)^ZUr7QhSj-Qe%;5DLv94F)P-|F zr0vo>eXAJ_p+g01R5tk$8??LMPh=HY^^?+%9Q+CWtolj(P8{`^{TDIdG5bUIeUFI& z_FoYa>{=5DY65j!4CW-J}S;Tg$z2&ajb_vGuV&UKPgujegR!6^pGMe%@vW2 zxkgA7f(xwdSE^bnB~~u0tX%f52XJ0JefpbUp|%hQ5S$m~Fu988()~I)E|5EEy#Z|G|=BR*Zag?G3PEs9mYbExtz_ zj>C`KuY7!_vj^ZOQ^hlq^@P#`IFdH5x$X-Bj&VmwfG?ZVsk8x z{3jV8v5?;+Vpkp^!=!97%zjuofNX=OkJJC*GxWWW6c|^_u%&}OLNk4WO`#v794BJf zyCS^v$GZ;!RuO+kCadqd<6QuMhxj)CZk+nAn14sxB9ntnv~AK&_Z`~Q-m(7F@4%1M zhJI?B*oVaWT@`GlztIYQ%Bv_`YCS7$*Q2&)J=TuoY>z$5t2oR`B8SV-H-&YTqtzz# zOS1JfDv7*3)X-p2Yr6Ff3^h1W*9zL)8*HR_`&18*yVT>~YuGw^rW98ab#&Bf za9r6FD8L|;m>hW0TcePMvr9c2lO>hj8qTyu-m?pgTHnrZIQ<#cE--3*!EYUnjI=M8 zdQ3_{XRRLp&RgFazFJNGrIAwItxeY&T<*Novr!#L^t*OIBhpR?KNDz~6*%fD%epKU7L&ce5=vq(TuV;&1aAsIAspVAl z*0+w{=j&TfZ`z_pZw{rGzIF6QeYIz|dT#V?pq|#3hK)*ZPx{aj3LB*(=)>vX0M0J; zC>&nudC;4;?;RKP$u*F1#-*lMd^FK&n>^~VH#$9V^vr9z z!bl~SNj7iQ*S=LMdiG6AH2Z|X;8N4AZ?#W+bFZe=USV{t$LQ^)p6kfuhP4YF(Vj!P znZyB7PdaL{h1!fl=+|pKtp$xEZaur<%v)jKION>3Z|%L-HixBwdOA9vuW!y8#3n=7qyNKcTn9+->M#{ zJXgPJxSmbzll^vL<3dN?rz(}MExOgC65V(`txxYYAq23iW%#KQA~Ntm{g9kdg729m zrC{M8N!(99eqBi>Nca4;SY@xi^;)qIIm3&TT*J89SozDk$HjU(R>Nk}Xp(@YXud|n z1FXFe?7>aO3L!#l1hH9563t3$G{qCF{B$HJ$}Yfea2xy8nHXpogD$g4^be#yCAl^5 zl_w(l5IKF)vJJ{d%0KK=$lgEtbnDjVk3;n5A@bDltWl$~A_rzpnv}@_sy_7Q+&e6( zFWm6nDe<)ZcB5Ejtd>cgAwo$FZlAkiYf-X&oBfUOls+WCPYO&b3a_yc@CIS!B!=$3 z2nC#x5h2KxgW$LmP8wdu3HxB%A#xjnQ-iLZIeq%fYUNSrcN2yhN>rP~j8?%%8{X5Y4XN*o*|K;?dH-hkgBm}t2 z+4cqE6-dpwxAvflT($k%YWu!w?fVn#dqmw`zjygssnUO&4IUw9GGbKckZ+b}Q@3J8 z&dgTq3XnDj_oK@xG}tI4Wy_J_Ru*P52S-N84=vkx>W-U_-G1ZDsY;?)xlMWXK4mj* zp+7`c-%8Aj7uC%TH6MI3)G$7#ckRrciBTOzziNASpFX&9ej1rcc6KeeX=v^Jvd}Jg zzj8u(s%MBPGX^v5PUma*4j!-`GB_otiFX_2K++JO6pHp2;_SV!G-mR{Ut*!g$>BM3W2)4^opPP-Kx8n7{;C3 zIILGjVodt<&*T%;{Gy*~+^NRkq4Kbu(G}W&5O@yFBSUihkQUWUzNrCU$X?0%Qr!aS zz31w-P})`__H&bXrM*Ypzr~~WV$hfB0M{u*B`v_k#yAU!t^p>LpTMH}+@5M^9ilZR zc7o4F6Fk^i?JkT&nmTSx#1xZEnz%M6~8?6X1p+bs8Hll9E%gnkn;a z*E}U$DwR*N;_8ZuXKy`LTpV}L&bRg+FS1EPmwq>6)7mi$_x}El@}ct1jml?Rw~~Nm zE7pzKclv~lakSUPn7ea|OnEEez=>na9%ucx|_M0M8Ok;;m{VU1!|s+3?U zj>#)n0|5aqB;gS7{u^v_^c$9X_+AymHTSf3=VQ!;UO<}LdgQNZ?#CvLX?Q>kQ12GD!TN7%3q z_|Zz68B8xsR8B1r(j&cj?ZtrRc|Tae7*V(QF=+$2Q|Uk>=-bJw z_U+_-D8#DmNNKohX0>QKHQW->ZSec*6}d+bZl-tR?v87JM!C7GQ3(p#*zbMvzPWwje|x1< zIC0;wp+D9{{4t}&GihT}Etb*aiH%7s&0&W@0oN1IF$SZ6BubN_qoSe@JRy-MYv}E* z1D;r@-cj(lvZ+Q~e^3<1iqc;3KVN=vrtfZJm@^AHW|(sy8B&$fx(8>Fa?+Q{8}ir6 z`Jh!K!u|rbS*w#wegVDtClP()K1Zyjs9RU${BeIBR6TB7b;V;AY8w`{l zU_N9QD`G}Tj1+qvc#=p@902xYsUtD}!Y2km)v8EZO-5o|2!b7FU>Ou6TWVd1e-_d5a_=q)2%| z`L$447CS}!c^R%E`}JC>o3i17*(;$t*wZA_y_9X}Zc36%Pu+zBOQfk~Sx6b@=`8_t zccB>2>-Myq8ZrIA_M$?vR#~Q0J^JXV%0u#w2gZ`Tl4Z588t$qtEV#K(bzQ3TQT3QZ z!$&e5s6t-#0l4eHAN&1tg>D!L9aArz=D=6Fg({C_urs0ki1aWmy++pZ#zcP+;(?bEV1 zLP16yUG&!bn1~0Jt%;8GGY0va>Rzf5=V_VPui+{}b2nCt*-sAdXNt143r^~pb)S?$ z)dg_C_7Rc81Ap=L67&G`1=n;#JPpj!P^#hyE+oSSg>BMR)wTE1G{Qgud+_d7`mk@? zU^K?)L^pBJ86^z11HFs4fKHXPp^wMp4x-e3|Mee9$@GD&Ipt_@;fTkiQ?+M~82Z-M zoc{6ZsuzvjXv@f(58BZ491`^gD9-HGL~a0))S7BKG>8k2+xv-c9kO3RrQeWxZmKb? z?i%t>`>(h@r2~aeWVn6KWD)DUe73`4WhkBFAdfWV+jBExg2Fi4tJGJVGj-csIjs1*K4Y!aDHkk5|FwAo5+iwL zPu(kE$z&7wdY4Ux3zCnvR5tl70iL2smQX>XbZ7a;0f!&#l~_855H@JjADZ&AZGLd! zl1B{wVOlOzvU`(gd3ze;ris_gxOKecbq=rFVyK)DYm9#l`l_9F`?rFGnsC))s zp!d7ArGM4AzZ#;>eM6p>SreW1Fj zn#mM*E*X(fQE_OOaa}guN>T0o#PX0%9k`69M}$9ipZzL%;=y^-Bm-+ty=M}0bQ#*i z^+n7Qj|?-ht!t_&F0rAUdgf|DJ{`=%>9h*#9iPBkW_g>fHc~KR?MtOAa%PiuC3!1< zC|Q;}`H9(|(ge(wxuxGvnRvEt$_J}xqUI?Bk)}CpJWtd7!*c0Fw({fkael$pqK#cT z#gFZM_bQ8jh_(0C7JGV0X`k|Yp}Y;u}xYq(C$& zZIByK`WNmh^=ES*2101O)s}0+Jd1gc-8jv!CxvfGzN;zCo|Q_(YMjlwe&E%ImCAQ_ zuU~Jl)(w0rB~~u4Y9B3MraV<`zk1`~>U-W6XIGN}bl#X+|D~Z^o~Y?2L9<$_W^h0? z0L{4En0Jo(9osgjJc!8U&hCPxHU%3%U|2Zk4U9VSMElL^%pq>By_eqM@wvFK+Wv-q z;!xH}SJiFf_+o~a_W~B&a>?vu&7K!eD=)rF#@K&_T^vawS1NOrqt)~?NWnRFRiH#~ z_cWem-!faCq=e?Me@U?f|A$i$K$7IYyztEnb+#A2e$oC6IdteSS$yd5^~(FoEr$;& z8?;dmzw0E~E{k=@wJz2v-~)z#1M*k`F4*tX!>~|$n?aXCa8t?NhwN3#RPr87nULGD zJx75l|D*Eb?PNS}v|727Oj8Q&SK#NJEYDJ&d`WuYI$W(cZo-{!zB#`nFwkB@ULmuW#U(v9Uoup)i}b3q{DTam>z<%; zQw2J%X7C0=2T~~Z;rM?NF4dLJ9I-!sM0rOJv_CEmuKhq9Y=4ab`Av1*wrUVnK)e#v zH`)yE;;z^)oowZHl7IYWC^`-3gS-_yHU z&|aqYthS%Up4Auv-orEF^;P^3*TeI4hI$@pFM+K^e%Zk zLt|-spbu_e!E;yby-H7@MAM_Pihcji=|2gx-$#?9N1bRvPuI@IHvW@2kD1_B`rCYw#ZZOSm5c&;5CQ z$Yzkd7|#RPGqs;seiUJ#_RRC82o?0X{t)ao{vNgr+N1Rsv-SpS&mt~o06&A+^FG9f zYFPi5Yww{86rLgMS)HfxJe0r3T!lO7@H~t?)47YoH(dK(`kuYV_9OJK&H<Hea?T0>j&O*d6v@Hdxtzr z4*lTzB02QK$mB=j`r+))p&wjdB(5LM_PKt%0(d4<7kXFO1Y;(ixxOUec?9LB#Pww~ z=GA{r@8!lb*O$@CNEv7F@H~LEPupYiEOC9Qtp8U1p6Ltj8+c#Dz1gVm)R*q;nd=Ln zmfvCRUB=owpbR(cX79PaP2FP-b(muaqKqr~;)p8D?%e(ag+%UZN|LY{^9Twik0-mmOE*O%+@ z{x$Yo#qg=D|I&CDd*=F5jPWeqFb(`!$KG$k^A(J~8`<;B`fueg8U3fR=PT=fGF&H5 zL4TMjpnprz{=1A`Gubn}CynEGJ$ueTe@9q@NQl5UOipwf8_>cF1ZC8ofpz8fa`+gKSDxl{X&^da1Vg{ znZ*e)PSO}V;-`i@>OO}ji3<>?&nH8b`^Z>?_lDO#RZYW<@|XRp`_ZU7o%eU+dww^# zg?`V@$S`-G9-fhsO?jz_0^4Vc!wfJ6Xl$C~eL}h|E9pNazpC7lT6y$u|H8h=dXg}# zZ1W#tdhLs%bp7ILviZ)1TSgxqmlHit`FYxuIpV1&pP!=q^5eBTmp!Jus-D-!1=c?;_>Xpl;pJYGnxd>%$Dkosb_IdyUY%NbDqs zK@Mc(U^$Tn^(lfj7|95bLYSx*`H}MVchX_|*GY8EB~y9Q{;yx}Ct>#`B>Y}8iu_cX zId^WR_}w_EU$tG4zE{ToF!IsSnUc6xnk}}mzZ<#Kejwa7ilmRigdz(o(SM5JM>QVT zk@`(=VBo5$LCDB(8x}<9VhD}IQ<26YGPtznh-~rl(X)TWtvttm!+O>8W!vI!~o9_X<$uxQqk%5_TR)|i-% zSCUCnGNSGAVx5#^&kSes2W@3^VfH(>lVNwl=sc_#kC6JhHu7ToTS|%8**=7>Az-}- z3q}Tv0f-eX2Tmc-$wf8*aZ7iu*AxG5qJ9((1Wsy~@+-zL}bmo0}q* z=cP=Yn(}x-&t6>%)^;r{>sf$*%FE?xbLOT=u^soVJbdivvn%&?>~whB$De=x@wUTC zFzGWS3HzAClI0SmPjoQ(C^)(!7H6aT;HiVbX#dq{touV;V>H^A8{3N`!;*(6&kRcf z-iQS;ymh<;xQH*p?PjqF9C(Yw0vBDRrKz8Q2BNGOi6CFeQcv(w`I;2{Msi6h)-C@| zc}a@EOU2KHmutwjSke|gLz1${ZdFEeR$`6eLB>ku9rHjx~732Y9~`WA=~CW{zObs=ncUBzsnM2G3FKS(RZtNAvGNj2~J1 zG3;5D2fT;%hW2688G;PR6HBvXK#PwHef*OQ#n5aMq=b%@&|*Wz4L8*8@Ec7gh%eTq z%D>bGpe{Wp<*bVmED4)wY{i0T!*RdSH~jXz^!^QfXzd%M59=&j#24+Dfx#Q?JGzP< z&rZP6gX~Z>aDg9KFw(#<)*GA+nlgjUF_G5Ps2FoF{)*}!6&(`%$L(4-;)|(~F(JXh z!EuqP7W#_Tu|MeEIXxG|VUED6OeXvgSVlArkj?4=f=4k8UK{l=wRy~2r$+%}NV|6C z*hmZg3y{P{o@=84N=k!+W25>-MTfE%w2C=cGzXjGBKxVeqxwe0ga+6B>IS?~2YY9s zCw!9rG{)%xCYyaAW z22h7AYJ3ZaFWVFT##mv3Fa_8%wmC6mnFXwZ2Qw++sm{8bMyxV#fy*8vhll7HZB&>z zcO3F1hETpbWsSbJf9zRN6g}$&|Grfd2k8V80LTRBqRNE*TgRVVJY3#7io{`_pVr;u zCN$8uHXgK_CoB*a2}>><^$cF=@1oDGPgLbMP`}|3qLnHAg*Vmr7;pR>w5PWu_Q36L zGliAH8ezS#*+p}m0xU7{V+XkMou!HHii^Oj(Il`^ngFE0Sy!Zm8N{WGSLBT{NslM^ zTtAeV_Ij$g#j{9xeSkW+g3yr|xro^uBaRplfpHFhLZ`K{&$GzB!ppbk;vAYVR2vA` z*op5$gYEyJ%Hs(KA0}x1R5}WA9djrK8(pa`#yaa!xV%-X``kleobyvS=Fs-Axb>q9 zA2}G|_4E^8rNXBn7=@wD9BfxK+8E{bY@s;>8_?bhM13FZhChcXjo1=@2B&;7 zF#L7%1+_0m3bSEf+$!85+%4>ChxP|9#67YG$-I&zdE%E|)U&9<@f5dahQRZs44C&z<0W}ZEtCLfA z*2A`p&e+3XdZyoF zcIQ@tN3n-3)D)UDCsyGrp_(1j@R@i{`yhh(|2+0Fh1myQ1*5s~j~0`(8TM6+$lP3$ z%V*MKSC^)KX_~g!A+KWyz zoD-N^K!L>vxnais)YQ~1Mnm86(aWWlE<&R`jW_yW9a_?jkdBwS_=2O%{;lIrhj$w3 zS)_~PI9|F(a$Na^YF@#{M1Wl;8oxAqPK)ee^YaH1TS9324=so{I_)y9x0S+Nb!A~| zYsjw$sXe?B=LF(W_fKF;GYsukXH|2JZ!b0)TER4KIgoDRHzXS(mmfTA3ZM=_b>FE z*7`!xh|z!PNQy6hfPj<#ntjh@XQVJkSS|cTcvyH|I4Zm%yxtnpljQWdodd|l@)24x z#u)lv>_Bo$C&} zv1jLKvPPzLJ;#|i>+Zs#&&7JnJYkYkPTgP;cX-)Gd+?ml@hE#Ln@orpl#Kat% z(ljQzse~3W@~9Ww?8v>2eXS7%qdMb^Te`>iw+gU{J$#H7`6GWSTbtpk{7I~Ct^?EB z?03d3HJh04?_4ZU-v3=2HJ#>2YpLP+#@*KHqxD1CPFJV(>nD0vlQ5CsXxJUp(KTmnM@I!n**$l^Fpo9 zMn0~&Zq0T(mDI{K_BIl^`X~I{6W#kX73VM<`z-aYNuzFIYndnB8PYU|u@zhqZ*0;z zlDr4%;GD;kYz>3OEA#ZeiFR&G;~m{oajAKi-g$ay_?+GteX01NUYQTy)ajpi^G&IL z(x?PDr+$yR9;;=4?%3;9EG`M3)n`$;MEqE<;^Q8(*Um0#zU^BV&OiAxyj$->P3yZS z7t-hTCTIV*{9vz=C*YP%*YzS#-}svgCw*KpE+Lzy^@WlPPJ^3p{v2brl_k}iC|wMj zE65?c4g1!AxXirHDfWNNyY@cD{xAC6UPt2pML*n|mg#*&?wcnglilUQbYYorvzvF$ z>`mQ??g(Z?>g8TP@Fu#Or|kSVH$>gej~iJVx&!3gOXr(XbRDuI96Jg)*hNltf5YJEH1 zNxlW?yeFCLKWYnW3^0eYt9`^ap3-()*08vbUx?g$R|w06TZD(SnO4sj#upbe?b2Xu zBkupjWVcU2fr}{wZvLVcFSyJh2S;3HExkDS;2K^U^5NBIw4Z;c?8OwCW(OE9t{^#m zM}6F3Dw_`;6rL4M`65Y9v*`b}cr_y=amk5Xa|0C@R}8)Qk$ioA3G5Oshu>+ln^W3a zD?oh-PLHkcNjk$D7gJ_i*_Cu({J*GD?DQwKJto?Dm78Fj9TDCY{!Pe*lVV?@A(zJ7 z-ulAbNSNe*NaDS@b?(8Fi>d_za_ws|LGN*u6T+v$uLSuVb=HD&P}h5y&QkCGCHEQK z{LAL$C*!cVXR`1O7@q8m>Xy!{b-K&$g&b;UrU~}Bud$XB+J;w`{Am4MJXx0C%(KY8 z+{?Gl{AfBQ(dtDx9c)LDa)Pz24qER>AyaJy2y#Ds|y{X zHzF0_A8xBmI_{be#WeTV2X1InT4%d~%7S0 z?6Qt;`kbiFaam_j2wvqW#95cKm<_Rd*<($3h@L#yv3@z`I_B%sgii-vSPn;@>`o8t^lNL+WYpJgH(8hJl>zwJdqnv}X`#frxsn1Elld0C; z)rhP+=O@>ksNQMkF3`SCx?XW=b}mzI961;5n4X;!@?n0~&rz;9QJYBthx+2qcSnlj z2Ig(w$uQa{DIZC}zxo(f=ydT_p27+^r(qcvW zoTyGZ>&6~#Gdbn+PqZ8U45s*EO#C^FYRtgEUR}prI(#8D z-5-+Ud%2~7+@iN{oHl~y`}3TrOiuOgD-%&YprTV~b@jX>=yi;6w{d*U8b;0^Qy~3) zqXWx{s_LrinQb3D_y#8ZrqHC>!3tmLxUYgF`Xu`j_%QNI3ai^xo72~HoxYf%WPq0djyJ#E)i%|~Z(Q@EwitUK z#zSw0xUWRsfV}&iDX|vOnwusPw?DHbJ zjaboGiuJJ3T=S#;2^??+5mFC8E=109`xqpG@wAK|0Urhc>Oi&u}16VF7 z7vIiXe$*CAkJ;IRa{#$WvEr7@8<)cBc8dh;+|!pp=$Yn6b@-I}`*A$tKum1-MiM4B z&c!2-T{yI=`+^etTtC0);yTzf)#`anjSHRQJi_2?TNYN>FyuRSXwhAE`W-lGHEh6f zuN5o>=wse`+nDbsaOOwV#l4xC z75o#_TsMcchPJw|O|-IpUBA-Q-Q{%-wMF(Y%9w zfm}llS)==IMhG);7x5Zly|5W~5kHN)DUb{GQd(cRP^QbJu@=+HL*GSTvT>8w*08GB zJq@bNdgMaYpWL}%lH#qe!h!WgfF}-QcZ@&Fl9(X}M5! z9-xjade`^QWr)r>bkgiR-eGH4GTzwKG>@?rG{h_KT=!4#^I{dkBw-Q8`FjQZ&MjS( zqv>8p>)9br--m}1TEVl#Y}w*?i<85SdE4o1I*J-u=yKE77S7^c`R(*Sy!oEUefodH z`{XvMP9z%^hD*dJbqa`c)Nx9Pv+R=aQ@x6g&i~NXa$N8Apt(<-b6~6Px4L-Kh0YIY zjhWyA`?TJq%*_#T%p}@wXh*^`y>|f5fmLke_@`+-uuf$6ljj-bGL6k7%-| z-{(i~1);f5FOc-W~ihG}J?^d>bI!6IsXLFK~ameJLDeDzO~UgWB2)R#u?)Bi8L zX{Uzj6zPA`$M&XF|AT&a1LL)GPraAir!L+&v)uS@O5LgyR|b7CmlyBn#JNM_c23;N z+Rz;o=Ph_YD(>c{yXPliQ~#fncGT&O6{j+aEL_LFRVs#0X)xC(m;WNNypd4A#g+rT�Z*cgcU+xX-B5Y!_4h(vT0YYnh^1 z+fqaG1V{Ca!nw%0UtP2QTtu1iHa0X8UbxtDS#mYOb;+{EgwWw3H;~>{T;t_iXO^{#t1m2Xsp$&jI1LaYg;>l4$>HX( zoTThLb8d`s!-a;_B)% zzpp=Y#kasAx9`i`w>E9M0gnDD=A@-DfxLR#*}2bZ?WNy zr6ehbq}Y;7De^yil48Hu7w4447vEkSUpD8(SU*y1Pj-V!9Jr3OeR~H~Pu%&%V2hQkmPdL(t?XAui0$eQeeeOs5tjE(2YdhKK#tU}dHDrG zUamDI*=WiuAvxJVofv(@gX|;^+V>@wlFAt)a+mZQbbaAX2b3qf`if6o>4JF)T}jsX zvLPucOXK3!&e^Pdk?94u(apgvo`i>ibyizmJkZJqj-5#!|3ikftnmVDw^dbFM6>NKGjITJ`Zwi?^blJM_u*I=4m-QJ?F{iX!QTLF@ ztIZ*cru3c&+&yKoq#4-z5y+%DCp;xQB`+z@M|O%gDzA~ei2K*C-=<9V6(Qv>$~ZC3 z{>9v9p20QEo^m;)8PFRbm*M#Z`ENkI0LCD|7I_%2D*^!&%wcS*yy+{jG&X=P4BXN(TGR+`O@4a`Wyd`0I>X5A0s7ita#-8kA^7%R+b2D}2} zB4c8%%>oYQ<>n`H@ijqoxfs(@I0QOo<0~Ig6#w!}Uf!&6Rrz^&%J;)Fy6h$KLx*H^ z88)VC-iVPq?-?;NFF(CY#)u(VnVDVg&+OtW9qeP%IuEQEnb!HX&f`L|vinV4SX4B1 zKxS4*NKwJ%i+kdKiw75WJyvS9SWa!wY^sN&jCm75EpXSvdJa#SJ=!2N1Xw>u6Q zr}xC+b39-k&rUbY?2>5do=N*0jPWkH1n=I6bq=to&ummM$-t zmEkKgwf~Nc`23C6zl@Arn4G$A|HBWbChPUl3=26IJKQUPS+XiO%%(G%B26K|m{yFz z0M^h{8&|BA&4!(K-nH|dyGB;7nBYHR(!>!XCQc&TeX@6@H1f|6KK$oDKfLdi4zs$F zRphFjJC$ua=lN##dfF7tvC<=R%p}JTQ;OMFEB(w$GHb6glN@|Nsb1+Tf6gfPkV(oC zrHtI7%%yXo)1C_#l7w`48C}5}=gjU$*qlHo_69v0or7^AqM&5>=919m%1g>~%R@^y zjqFxn7tilskf#=v^u0B`c;`LJJaY5h_ZFw$+P9~C!dL%-!`-LJP&epY_=H0PzJ;&2 z_~2V`yhb(|FP|L?pYUwNukaP$CioSa98xW6k{r4@6~3XT_bGfureU9g!#=pFkT>p7 z_=L>){Rv;O^TnUwcy<@YH5Jn)I}<)3?yE21D+!wAOK_UN)@qv6YL0|Yh&ufUUs3V& zBRHHzLM3ihZ6d5Ka3Xv{uZcc{uQX_x55eg*NT_NmwVLWc_(UQf{Rdx3(+vNC)1z4E zD>QkWYutJ8i3Sb%4!$DoyYHasN)z?O)p76%C#T=wD;D1T1`coECQE9=PJ>Utd-oZ9 zMWg|r;e92{RE@Yg^%=5+?gEVu>&IXpCu*9bHX8vPBy)_|RV9vB-m?LFY7dfEuQJ{$85!QY7eejYp; zHQ9B(qb3h&jbh|xq&En*-Y!26kS?aUbIpmvQ`#srjT_z#0eF5}`#cagY+ifNGlR{r zjYvpSqw@_RW@y2en-q8KD|BE*k>MyFGax0KJ-!F7h2EBnufr zkpo)ke5Parwv4R8o98vytX$)6)~I%j*wbrxS-R50yg@wHeQa#p!qOXq4H4AE{yPsH zT}?jc-WETBTB-sGO(LOwB$OmIWbVmPHP%PVOh#K+WJ8bm8u>A3o0`*OUewh(Wh z4dbTJp%G)b>GWud4Xw#J{M?qvxtoFAB=q%0chiw=z!v9tA$ryltQt4en}X>1jrXQw z?vqW==`c{3-7-ovIfC94!uaY0G@V3E_YF9`%34M(&2eZ75uDCM)6w+eV{knB3Dc1~ zuthr10tcii=r_?RX*!Ks=&NvgvRzOu8Bv<*$TWq7J~}r|CtY)V9!{_R$ST;vF}QJu zs3|mR$VqBCQJUa8X}Z`VJ#=-fnu4>_*=jnLUVSi*&xn?dE9coV)D+~rJ8exzv@u_f z<2*JByo@grXSM7>YQac`j~q<0vbf~boV*>v<=eM_gG>nDT? z2?C90NJ$3Cg8wH;p#~CaF@zFJL*ASmHB~u8jMIpT7^V<|^7qM)kjIsS6RF=hS$Uc~ zp$u~KSvjbm`38J z0<#b;qyWksWM+LD?{f3ABf^Zy1$28I+qIvHCo4)L9VJ?weD#enyF@AojWm_W*z6BC zwuG>Q4M8{v5NV=5tu@(1H{#l`uT#bb7E8iCi7hYxS_pCQt6)Gqa#q z{>ZE67q?v(Ec(S}biKWz^Q&7oKQivFfopCbP41EH-xEiN>l5#Ifa>&ftd#lPyt;2@L21!y-?C@dM(z2?(vu6&eT$9ov zr{MMh6}K#$U6D|0RF0L58dqo(jq9F$ddsE-`;X5#zH3EJOnC}PNI1}A|J+TR=I-xt zAR&RIl*i<(*oD{o7i`+{^t0>0>i}V3{Vcz9<0fR^3=?Q1se_Ov+=!cX?h)+71j(hG z2dTr1Ho7U8ZjJ{}alFC#f)qrWYy|}89W3A}eNB&jV6!#bL~JXFh%Au{u=No?sa)7H zDs_%>dS%(poEBiKTT9&!sHS}DmHMq38jDIsVs zCp%t@j7Xp>q}cKuNsoL=R50R2Y~D2mnK~0=JHobr(-;Z_4x*&~M~sO!ezHMYoL$l# z@O6(5Ne?ndM&!+#C-%?jUXqP}wZn3b7M6CBw$HP_T~=x~6y`p*d1mibWrYTFX<1Z= zAwDq7pA5AncC~bg$ZwmKkt;dJTQfL1+MFB|niA6i_!d-j^3O6Swhaig4H}g+t4(`T7#r<62-!kUtU#?44no4IY_flm*tToKKN4w7hS+99LTL#dzo-hB=WRS16yx zkofR+%5(nbo-><5+a?$yt?jyPwU3+m+01eFt;NCCNJB!~P?LF%|J-(o^J3;+^Wyu; zY2}mmpIlo z-D7ddlCQ5_yY||zmy|3ntVk>CzHDpZtZRGT5_Qd%BEN`@lL7-LZH(|M+Hy_QEj_QD zRk(FoyRx7mqcTb|l;3XLxpNB%z@I}#1;HT?5cWY%ZZie2d9l4lxz)w5I|x|L{)4|bXue%AjE)* zSxBM`F`#0{!oNWTBN>J-69%me!iGUMjIntz5~H6)g^kU(7}JU|9$GC%oPN>9VN^~@ zmZFC)96EI2O%Vmb5nY3$(k$`#CkC=Yr9LXbl1BfLc=o>T^I5Ckm{?Oh>p|tmRo`tQ z&)v6dczpYWkz-c(ou3eQRo~TPMkch6AHM7)nMDdF%?yriKWkf?z_{dfqfPCKx;{L2 zyK;K_+=sgswKI)gmmC+^X4|ax(ZMq({Ua(dFuX%&Q)J%+tK6nro?&5dUbi-~HKA{$ zsdI<$z(lzXg>mSNtk59*Ul|&nn3_QUiEUZAVhB%2O~gMko7b>EIDBtq#qfVDP(FTb z$H8^Cre%)L+BEaZ-g$YwubjClYkX$ft?Lf%FbaE@ZMf68cYRv^*wTSBmtHmRk%Eef zf=A|EwRGmd(y{qz>-QS(+_21kBHYw&Xi`W}RS@W>+QY!R8EriDQlwt#2?5eWu6 z48HX64ILY;1-xc19i3?sxQsoS(TsUwh9D)v^K1`+IoHJVhaL?W-K zf7BkJmgH%P3-ihAiAI!1Nb z@v-uP^3v%YU7|W}NT+pU3E6dU`sG8Xsssz5#9Pk^Ne*a~)qd~RSkOK;Aq-k)%}d^{d~x-V;-aBLi;9PcWkVMZ z8-_n>ztYI238I5InyB8O(OfR88TzDchB_9?gDz=ec%84qiU<6mUFABS-|zY7`x)*<==*J89{;EDwpF2C`joXiX|4HL{+COQi9JnRTFG_fQzBa!R?7_?IAtVRX5 z@Y`Kd}eF zr-u4ojXlDjKEr$SK3#Wx_`$ASAAHE)=-Di99ltrhS+90&_U88v|w=clTUP4jd@bKP8LYmw%YQkyh6<$3)} z;|*WiwER+P1)l+1zemDnI3Memc9sm)Q_~>(!xo_CTnr{59T%!rEu(|KW6KCXYmYC{ z{q@(UmaVZGZ2}<}XO62{^(qwJOEfkd^^$+1-m9Z_&3=cz3$EG^wqCRG1@s%qu)p8v z8!Dx+6X|C1dFs;!OFS(bR%BruY{TM04E0oAQro6f$-2ilhn(Z4wldzTpU)gLZl}S1 z!`!PoH*Jo|^!C*}mEX=AtzKCAhAp5|oL~1l>z63}dV116K7C6*9(z#P*ha|1 zHUc^=u@FXWCWRMb;YME@*5gEie1z9m&)A?bq28aIRL0xvknZWkL-WcTXEX}s4YEC# zbj)tRLmOo@F3$_)o$ir#wBcn*M$84Pf2x+6Qw~JrmUr&-+Wu~R{prZF zHQh18=LXG~a;CKe@GqB!RNa5-e*9l`SuNS-vue$Uqm|ne8k%N&L;o7-xvc}n-F)*n zf&p8DxPC9uqDR7+Ax+ofR6?wN6lM7R3d@PMpnvF8+>s{qezVqBszH`cp z)>vx(I1{5=uOC(Ws}zajWER|@ugYJdBnK08|KD<5#rwP%Ch zvOM53Rz_)t8F)r((F>ehHFYS(4i}|Vw7jNZH3n>e9Gs> z_egqIQRA?NJr4G06rNSwHe*3llJ#6v5Kh4jqZXvgBZ;K3)NgW&<#UkQ;$Kjr?~ThR zre=-dV+%4zjcQkrHD*jf)~JbTz*z=Xe=Dq?yY%hd7uRCjUp?N}j%-m6U)m#S|x}z@sy&$qBVuUSGOg`fL zcTEnl*4ZeIqVlryXfrAC-<~2)VM{?$9xu!xvk@C$`Ke06@0%w)xor!vYtXh=vwUpz z<>Qu}z3vx#%;vhkG5V6~kJUZ)MeMaK_C@R|p3{zi!&Y=EoLco)SJBGeXliR5pZQ`$ zh|K^a_kyaXcKy|Bu(@C=ge(ihE0nUXqg&bq6b@#!*_LEnv9WyARyfoX| ze=Tn?c+6Tl#tCSTD4`F@))Y7W1EuGpwpQzq4t~m3dl$dI8r=PI)^FNdb?SK1iw(s$ zooE*fmKiLtklH<&m_Ys>MWyx4VWvUGpAgoTyJhVTJJBVD!>(?0PQTz_uq?6fg{9@$ z5Y$uImPNh){1VTw&uOm{!r(iW1RsUr@UEW1=ChUfb@ugaBiqcjq0ZvFXXeLaIjw_n z5~gMrVaLc)2u1nv+0l9V(b>glg8b}aw1Rkz*7WFvI6XcaD-KG6*X-heWwvS7Sw}`C zrHJI>%b(__*7C&)(e%FJ@d=5=C_5h?48>;`@rEO3ddA;`L}lab-j_|BHlXiJqf~mj zVfV?#o0GcB&d%T=Gy4vhHu19Fv#-xiNKVgen3yG{=cH#`lbMAx;)u+w zrVZT#vNMvJ@QAF;oOC65@RT{1445{}{q^X+v*+~v;w#?6*vCule%W;WKHi~4W20(V zNza^$vduV!Rk&x8w2>>ub9k-D=}|h2-`1psaj0h1=0MFZZEu*F*)SnH!yU@EMaCE# zP|Sc!=1du!l#!i)D8Ar69=bNRAk_7JTu5G8!e1}PrZGADT#lSXD z4_<~-)Px2Na$-W&@ci@+F}8yK4V!~?wuN+LcALmBB|IxGJ|Z$FE{Y$p6}62oWQPYe z%D;8~69g@S)CsRdEoC=dR9%LJ$l=)`PqnX4G<0v)4Bc zUYVbALzQuE!3`<-SGH|DF+$62pD$gTx-5_PoyS9_q_o=5Ho7cYa)pN%Mn<=}4x5NeFMdp;d}paOoT{aVh7_4o(yQ8i$7325WKaEJMzh?CMrGya`le;{KUZGXs3N!7 zj31_E7c??Xf7h-mJ?G2!@^UkWb+~$HR&2NVk*nI4w2BDbyZ+?KTlR)Uw5nPaIlo(M z*3hdv3`39A_M;*%y8-wD^fhGNz|F^Y@pgEylsc@QL`QgTJqC(oiba-lk>s2$I8eaon^YgSGgd21`%Xt~}tGmHmn85q%`|J+~MYQ#SFt>p`&B#*!0wh?33 ztQku%;$TigjOAou`r#@ zW($NTmVKTAPb^qwiDc!`2k9+{#s})7^Gjj9W$5wn-WKn^SW1OhSboSIU>oLG4H}CK zys$Vwv9MUrkB$c&UaZHN8z!>wu#(pELfTC`i zmYd$K4hJ`>&!j$mCdGE+QQf-TP$ai5N^<|&ty@Y`QES=1WZHR)aXtT`S-~|*h|&B8 z@lR@Nyv?J^r%hZqdi27H)5?wScw^5IGmgI%qD&}gW`y%a>mLei;v_1q4<9GB^&H`m zkF`8GR>|VoOLDGFFs7Ys`550Go46pycyC#jGM02v@OrbUIFBF)l|-~Be0H4{nsZ^U z*fQxzE8Q__#*9%jX42o8MpN4`u6KV}S}p{Tr#Z681vUXtdNfd6f)C*vnL;+sk%Q{w zKbH#?-$ZDRkyz($i?eRd@#NnF^lhnJgu|G<>37kmL4MgM8=2;T6wCxU)=o*l=`ii= z6$0!TfqpcSXC`E3=Sd5C-N zL5?$W9`{nh$LEfIlAykwvfn&P+~4S=(oFg$P`da&I;s1@*1fBFL*uI3-hF{bZ!r$? zvMun;`74+He)8ns4e#C1jqTxMnFn8W7xw-Jvs>8R>>;+7J;k0uFSWr*BAg&g#o2`d~%e8HvkXtGdGp9?4ST-@Wyg1>P#$uqoKoo|>l zp$foGImdEPBcIl+`~>;b@{yh9kG*!$*Z@E=XEiwLKY&K4H$d>Qey1;XV&ikpx z9#;e}N-&PZB#gh0+|KX4COOJ@C4skya2fkl-czf~U45x~9(QzgqB7YPKOtdUY|88d zrbGIH*{M-iCX9&-xmuB1$G7g%I({{6LBHU8G}`ABB)4gr(>UXX(S^O*8$IL8%Zns; z3-Vca=XS|R>eh4FZMQ7yb7^8?7k)TrOnldb-km3wPif!!6S$$z{j_cIr1EPz^^NZu zKe(t4xAmv{bw8hbdbfUhH+|^kITcxS_OX^6)a8njjEbxQqxEisnhx*YeHh$X4zBe- z8L}Rxhi*`nm1FaJgkE)3NLL!qA#60{=oiRQIqQY*+3vt^x*cS%vZD;YV#6K6kb%uF z>y`p})6z$6a5F|+Sb#Z0jyRSK(X>p?x5{~iP!)4`IWH2ja>4rz_UA6(`9@+!7absF z8V?YuixDt=pG4A;+~oVaW*bLl-+87t)DRl&evzW<^mgZW`=9LNYpLyd|SrT8VL*WV9?x+PHPT`?}oHPDR6A zq|Xvsb!iiK0}0%VzDHBwn&lKg;EEt{J>oi56v@{WG^;~;S~SUTmelNq!m`}U`v%Kg zx6uVfq+IG#&>DSWLrg?|1W4DJVw`gKs45~-jO-K*v-nU=(P^tfaRq5T+W7Opxx;G5V zOuVFNMuP@g%go5;sfn54NnN`%$s2X892cJy9wy_w4`(WgB-v-{MJ4CE*d^`zZ{F0BJ`HW(yhSH+ zAZsmEv?Qmp9nIU5hgrv#6;f;RI_p&XHdovK$|Ws+N2@L!Tlen0|Fw=?n)K?K5;e0+ ztEiNoy_$6C_}c#7y<6kwP-uN*%K`1BM&d-c02X>Te5d3QapzCfalWnQ$Ns;4(~tWc z$1Fc(nbXnbtp5p@{p5eXcymFcSy{z<4Uce#uEGJS(eeMqYk$U)n+uxuDkn`XN-1m0eA-&J(6ce^`M5lSr7IUxp1%eW8~;RbhB9Q35U4Ra56B~ z@0GN@qi=rk$aYZ<(txnQd}>*VJJp(Ox+2w2Q?eKHlKJ(ynz`+Ao9rPph7t+iAqg z5rukWM!%)x+u(D+|Jm#nqiVh9Sae20T&iR zKn1Q`Q`Te;0mx>oYVCMK~R!rJ*b$`KspU?bMzXk-Wr;UQ9p92OZC6&4*96BZj1 z7nTs77~U{4DKa@SC9+XuYGhhudPsIMOXkT^vYZl`5|t925|a{}5|j zy?LXIf;H0Q%X53@cZkoA%FU;jydG+LwxlGNwb9f#b<%QtStKH|teuAEWeJSCccb5L zv-^Nwd>_c@0~viFqYq-Ux#yMV4;r6R7jPH#t$Q{4U;*fAtb0X>!c<9DBpk9FJ!rP< zL4SklqCs`6U#td=r7n(CsFTwb>gJY82s%18J73TCjORrk?LK^XHx+g7y=H&=%j#1R z0?}ox}rA1SA~Yuh%6 z7;R<|MBJ^c0zKlf(5fTF2=4GG2M2PxDz~{-TU#h5|9_bP_)YDy} zj(SU1%aE20BCg zQOZRdH{yRJ=Ib|(Gif5dSM$*fV~o;Lo`Ce@D2L61SF?Bn5AjGzzj;lii$qks5=1l7 zq)O>@E4^S?{1Lg#teh?P{^(jO-Hlra49;YVs^#a%d8L_Tb0ml>k0tq;IQpOuokVA6 zXd9c}ZG2$d_|0N`9gSD;@r6(K8uH5KA6i#r@$pe5Z6^0wZhXJ3sBu4ur}pC+H;ue< z_=qk^EiV~5O zMbgTo7V=5a6pNR~p}}I?w26)6EN=PYO@rn%Hl(5n{Y%r*O8ZZsKAmiY>%FDhp@FDR z(Q!J8Hsz{_mixMri=#EPk0p9^6hfUI&{X*5pqinzOwDhSnwFiDbuAwe+jG>T#@EK< z#`0xDbXPtfUmRAplZWh>lAJL1qbtm&J2Prnah(1)-o0^tL(Wsv8a0oN%{Shu8o#2` zSVew%;r#i{n^&}NbjO&A!IC=2-;SkswHxHMdlbhEjIceDw75Mi=MR~c`%a$A4Tx;dQDF1m`mujN&;$LDcN{>G- zoiVl%f5uU1k^B|nkF&$ZQA)>7AiWmct~C`0R@b6Cow`UdbrbnI{k9pzqx zAChJ$VNrQhFSP#=X)Y@h?H{h{N=GwZegOCgKZADm(WQ2&GamF|dNQ?4$bz4HZVM2#+=*ovo`J8ojKL2&!v?Wp;0B! zoKi_-RHULuox=aa@M8|qne+?S*_p*;58~}LK3p2jM^sID#rX36@qIlH8~3Zn+-35? zv*jNxnEUO>)$%TP8R}IHejigtV;nGe3(!233FnzYzMPML;RWNa<8@AKOm3l`l@IkLKE_qe$M0x6D{}ahS7sz9 zH84I?6khm-x~5`+#II~RKChuN+TH3+zGduO@-9f`DfmT-w|L)ndW%M0FJGor%0Ig> zrq~QtBXvS=KBd&~N|HY-ZW#IzVba(rozkG2{BblEpQZF>oP_V^nE8|v*Br#vC|^lS z0%#VA@+fYys|P(O-$1~dnPrax{9;>@M!2X8#ksq} z-n>hzLfjKDL5D|a(r$C?LbgrYkU_dL`FdkIff?uhR9=B`2rH;K+FVT`O%#2z?vne5 zj2+3BeQx|Z>b2f{X64A)OXL&oP~)H97701?K4gSzx|9ceYYSupldAQHN&2Ze#0>5B0YCK`K*T#n(fB!A7>`fw#?Y?=}(sCp%oO z3<$rI!ZBZYT+QU2M2DUB%mtktW_qJqdRwWWaPKxF9C{QjgI30DWmF42S}j)w#A7~n z#8cfPl$n&DXBeG8cf4q4=o#r{Ee?97c&{ckU{T>w?o$W*?25Rw&#ve}!z-U;n)g84 zVXbjkexLS^-tyFEttvtWHW=MtdV{466n+I%O&r=S9!sHOD3!kBT?=1%M~geRZ}rG; z|M9Wt4|Y9lzthrbl(|jRagp~^)vf+BO5>l2_e$@l%0JYmc>i3yR~yr$XO+=WdF%(& zL6h!206MUf((q>!bevdkVEGq|?-*zD%7^wmWPHoFziW(?zjCjar_VpPRiroGGkQo{ zkluxR?u_o=mBwbvT5P7QDNT7P6mn_t6`iik-oNL?+?)CKW6g|TUpbxFY5Wy=#-XTo zmpvvQJ@?(;)t=|}oIE{i!JZQw6r5o*8ODMj};!rof;-@gsel?$C8?dTO$;B^h!DA#TVVDk0`ro zHRqmz6QBAC;#dbwE9Kt|^8Yl8E&Y#p{gO?G$$aNw5iJ zB{I{*m^92Zl!6kRZ7TYOA~`S>tJwijZm^Z+v@v=19R8);B(yNq(9<6DBLV5{9}(*rF>< zHOBVe-QO5{TYhcgsho|RdE6q8<`uME!TfTYY!rh(h(*`)xlPdc_PJsGeGL038bge4 zQ_+s_RAkCjv{5KynbABm1=|J?I=%p(4IH+2FCS)X=Qm3$_*wd^zLzI%ihScyMOXFG>fqOh?|poQ`~+>r6h?KJsRaVU~#>-obx`(eiHN8!T+@ z;!p4!d3m+e#j{`D>=_3ZMHwPJ)eGsP3!OQxc^F<0b{5VgGm|Y>YLZzFWQGa~;c;g2 zCyhT-d6eEgjtZmpgWgm(A$^D`rx@B8v5-|h7Q#r}_=uZ4QCf^|Qy$IKLMkb_$%&o8 zY^V23+Wz!*YCExe9PwQbAJPk+Ql%vb^Ua)zma*H$;+fjt;zGW$p0o<_fN{pHw90$u zqA9VAW-uv3Cr^PK9aX}mQsxNrdm)BoED<_vfqpTa=r+M=}^ygfG^i6nF$rJB9F=Yz=lthOa37~K8 zBbeo729+nc3@$RD#B&Y#Gl69~N^}=^(VVZ~KmJWq+9ug_E7xq{lIc|;w} zK2?W82SU2gj=T;O=>(IE}Y-uxGaw%)FrJwgI&=crqqrMbJBb*ojFdz`awV%#c=pbMcBXr8nG ztCpjU%lJdaWzuBzn3oxc0i@XQ&(sT)r-4(CP|mmm{%kbQ1!NTYOrWr%N7c^*YkLIu?NO>%T~-?uyQ&JxP383CDez)m-Kc{xrUM;hqP6=7|S9CmJsq zHi!@Q^vdqq<@$t3KA4|A{`0KnlWV@4Z{%V5kTvt!nz_a&|6H2h0T;a%gGZU{Sy65b zZja;%$)nGxUZ`Y<;)RN47ge^t++Sx%ePG#j)j6nSrb*h9cB4*c}`e)JTOAZB1dzYeWdn5oh8yHJTn#+6H1h)8N-eqGI}Xzjoa{> zImg^@8I|^8($x889%vQh0ek*jo`HO;aho$EDQ0WJGxH`n$}{td@_adangvomTgT|5 zkw?ZI^c0kcl|Jqjz*@pF6EzJ@4pG>epcXpwiL`Fo%*EIAbXQ8fB#gRd#{QiT%R?Y5mYJa-8*LFf}-8MM#~EW@6HYL#;C&I9KyhML-05ZYXnrJbp_ zJ^^L<>l0W~aCIEzkSv(%8*^TUt}sU}5r*V_e-bOe@h54y)y?=xjx&DZ8*F<-=n65P zTe`xTGfvigSy5haW>e2VOiVk=S*jzaGo#p6faJk8R%?)tz6!&zPK8rQTtaMgW>!vd zQA{EFSNtbEENq8;hW8fZXUzK(cpKwYK2C1OH^VYy?HxqkqJL8`-?ivleAlAxV?2Pi=P->+bDx29HdZob_31BZANe)X z@yapIyv$9zJAVBx*2(_VLJOM7F=_iV5Ph0Ig-!>3zfSk(u+pDvT3bhiaoSJ7Zo;&; zjvAMXy@aWYQ9yI|TV7@HEXXSj-F3-{t zLWUHw9mSVht<@#%T$0&`U$ek}^kFF6Ys`!eSZ)6~y)hQkv(lOvFG-v7vgUN|+O_Q3 z{7n9^C)2m)=Cea$X-QoY5iy4|V@-He>4=f(Y@GrgVKPAn9Sr4yC=X;!thlS3m)J+M486{47m zEnbjbtQ(y&xw=rW_#r*vYYcajbov&=`J-!a$xSb1ODtZL)0Q5#;HO&Ta@k3Pi5P=jk`|T zna?(LludeD$a)xVS_JH2$>#13Nqw!+$6xUY(NJ69`FL~WmCvJ*=a3%v7RT7*b9_Uu zvb`93j`0>oUu+H-+0LCud1m=9|*FnL$FcTm5x)^Op6URmALob_Czd|H_NJa%enfL_=nr(t~;`ulV&_(BC z$7*%oNa=a-eeStek<-t)Wp_=gid z&T5RI`dsukcGicpUH5MrbH(XTrRwP;jDNIPJuf9YulmnYV|O$@75!;OCQmFWzH7UXlSRgQ<*)F~ z%8MOCXNmF0`DMm>$j>5UTR`|Be9{xXU1qrYvz4Aa&=8I@$Ua`ft5Ll7W96^vd>_3d zyhQoL7rxUM{vt0?<8a0<&d|xP0N!IBoWYAT^nma~@|{Mndc%o>hO8hkUVa?(o|h`+ zjKFYZ7s6kZDwSkA9KHeJVPla#FLn~@4{GZB$fd_0(q>w|Y}@o=_^Rc_PB!D^m1r%* zE6H}etF4HiQdhi5ALsNYefVgpKT9`l9&B*Jm( zjdHATla46Iq;ps~CudN7amJA#!c97dr3Sw6pG3Gx#|p>yFq!KwS{(SfR?t5TH~qmT z9nCAk7n0!q+e-; z&!hCH*EaGIhOgtRBK(m2mDLVMg|B8F`D&sa4oTCEqeRCzDttB}Q50hPZklvd)JxDo ztTt0wO!=JjL_E=>+%wF0CtVT$dR_5sxo1ZJpGV}$CZC=Y0er$E(B#u|!s1he`1qVm z{<8{v3F6-{>!mD~CtK}vm#PZRDwSzS4?fLs^|%$jQG|m(w3|uioR1FmqmPc(8*~oy z_mq8sbj)xmNrZzA^y_l(W1;2nsVRa#N0IHc3zuwM4Iv-m+?;6o+#8mWSjZ*d_gG`o zI6RLs@uROwW1f+pv%H*~#|PanRq`fn=7dWzgU_uoUJcD3EghDoyJycxbtO$y`u~_4 z({W%!!hxdhZc^wFtk}lsCDZ z+QX8!2eg?OrzV|4yu13o75&xe*Jk=dB8#Ed7B^OsN$q!g`51iihTTF9BJF_ z_7UMGKZjW#U-(lZ+~mg!w|wfhpglL5?X0%ZT_zprGM&QzWQOy;b~t?MDEv-mxJifT zTXYU9yX}6qhEOsB(d&<$^2V;V?libdISm@*Xq=kas-O^>YZ@h6g^wG;!ec(ZF z#=|Gw@~Ic`uQ=n`V)r8f^p8vTxgQCjPd@LI-}HH}MPK;5Tk-J4&WjJC4}IHH_;M5f zIy}D1O}=4KPf|W1JsIdj56ieRARP3dCy{)}wHs4r}^M7{yg*7Hj%Gb;Ubd$Bz&m6g6|OGpM-Np=>?R2KW?fu zWzT7Q*cx>M+v-wS7ws%tD9vKe$vfCCz;@hZYmE4JyVV{LD|mMf$`N^YZj^{u^ROwHeTBfJkJDe1KxMThx#mm zcb!&7((#<6>>yg$U^&GV!qf(K+oOFR0W4AzS#RJZN&~(k z0Eb+Rrzk7Xo=w>n%0q20!Vrh}-6Cum`eYd!t}s4T{S>qk*)r-MylV(wi2QSq{~1>= zHqL?x)b^s?sqKTn^$7YEePQ>5jnNMYW?wKFxHHPmwEKbjA^`TFj<2xhqA#dFED(M1 zCHm?av>&y59pDooY|;L9KTuydfZ7G`{Y76;f7pP&puVO) zp?XvK!Iyb_-mz$DL!oHt zYcH`07^^p`^StZih2AwnS5-3AHIh}!xT7SeVqB5FLLW$wVFFoxQVBhG;*uRWaHuon%Uxxx0CiLdkS>!LSK|>%ONjU zc~5EWQD>{3_$kNR0YlUb)))1j175fJ-tT~(K{+HpYIo2d&O-70VmR)ig!N@Lp<~!c zS1k1G+lYr;g;cYekm;<(H66TJV+QFp$d%%gg^TPf8Yeal8@H|8w%ME2mh@^TUdI` zr%yg%W3?ej+n9yR-+Pan<#~UG?%XQI1nE-%=}e(FYmjy*<~vJw>k?Z4T~nouWL4Vr ztV%t>s)U}RG&IMmsCynORO11ro)-E>xdLNp728QznU6BoLT2}~N3^F{HOA653osW$ z=T##90RZ%pPHj1hP0&VR?(2`d0JRXbpql_Ym4gTasM*j-0BQ^DJk($uf33WYIBUGo zSkqB9#?3Z$B<6g3P8Yg`tyI^6_xXSfHViOF!MJjQ=(i}8gZir1f~VEQzp-6?4`mDl zUDV%BA5zXnhWriCk&T4@Pto#F_B58_Dq;CZSFLqKo_(wZ=KmJzByVqRptraD7gj~U zpYa}*R-sKTkS}44MB1S&N}9yB!nWHAd*Ceq*#(Aln&G|)U^CV9`TZG9W`9!lp@E*)-(Yh4*>Dp8^jB-VS(1!oCae zXL28w!Jk1L!dW-DAB!`25q1sPHcr?>?`jw5DnW~FXUsj4G0)Y&*8?^Ko&&(5bMHfV zA7EIvo-p8#0fzuc=eY;?6F>$4=|tM22tR3pm-5+kvD)&W9HSU;7oJBT?i;{oc!oy| zVfPlm{dl*_g9nrcyRRM%Fcd)L5ntB;h))8m+yI`z_c_?_?hcIo+K;ib&jQ0n_dJ0x zn_+8kSzkC&o)6m8Q&sw0BkDdYS_@Q_vIV- z2nBtoUB!wadv9n5y|1}qyzeQ?y~p$n?+N{F?+bdq_c=L@wItmm=3>|=K0O4TNc3qe z(R@X7D#h7r05yWWKyiWxtObP5guW#mCBk9}? zsda&lXv~VV;p}?tjG&Qkl~pO?5hiSeVm4j9giXXZUz+GAysr@^-Gw|Y)F0S1st1+h zvrD0$2Y+=`_J=p{La5hs_Saa8Yw8LN7d~JtmXX;bX9zU=q>WA!dwTNA*4S>CI zB^#$HBK{$)mD(v!uu>|+=3nS#DzAXuq~^1~sAQ{CyTBfzHiz!oi1%*lMgYPDruhP( z>u7iMod}1`NBsrpO!G)c8M`th)J&t@gg&G`ZOS?bZ1ua{_j(3fNc2KpVrgje)gle0 zr+j~5SK56a(C@?x`kiR%|3o{W->LrEJocB6Phit*LfI>^{^^Y{lgAYyQRZltyWq<*Un|LXzoHeX*k~>r$V*`Q~|%wW`K`s(&eI02-|bteauC6r~VzAA=Z7T z5x1DFbS=S{c?Wc5R-l(5EE47HXE*AH@tn=d?RiptoE1>{VhmwU!dyr5T{iWJewq!} z???KRtUx6`h$otdP`>DQlBFlX>!+;1MdRmhtQveoK^6)_KZNb}3(B|TDCASTg9q4z z(;(-ATz_UUu0<@yjt34^*Nb<7Lt3%Xu3@awbtl^OOI8`y3CFNw5JvKba(!~ymcFll zt~K<kBVyvLu!8$u4)LfWNpWWyLbH*6KJwZ9ZOhqm_8`uJA5`CBC9uJoi{}s7YSj5b z*ya!F?X9>=*@Mblyg$Ys)cUc->R$FIwU~vdZzJs!EJxkOTEPB#P^Eno%*g6a;CJyp znGMpuL;Nl_N5sDixuo=Kp=Uu8^W_|6GidHa*>_+(CBycAhYgqRW7tDyv!%H>;r3t; zZn^h+`7!KE{hbZcm$O^dEVc<{4pJWk&cb^hZ1n5J^Cm6aipyb}q-)tG{UqL#kv0eE z5T;OFfst=9g-P?h`ymGWoUm!dqUF?XU2*qy_{<0eW&pf51X(FYey(@ah zctKhXHWE*wXZbAKO5y0IYUN|hlefWs*aN+?gzc05&i2Vg=CeADJt>V~Hz@ZY{szF? z2)~u>Q(t72BHdQJPiIf6Lx9I4yeptLOH|vjuIguOpYjIAP&D-CJQk-8#QTk)mCtUF z*FpC@0vPIb6X-GQ`j9T{de|#RU?}}87qTO?U#29oJD`i-!I-^E`PEBfce8#OTTWxx z70Q+?PqHzD3Dkq^ZX1*own)Gx??Vb84Dke^&zayFz}6FhufGyVHQrMpeb{n6pG^k+ z_1eD>_W@h09c7ED3@V$-B>;c#*8_VHj@?d1ca~vS@{W`aw%AL`C;ab#H02ZQOPX*e z@Nz&O0EH8D23$|_iFR0~jAWNny@)5!+9wTV6YRRyhwb{;h2`~Z(S?B8$_eVMz;|a` z2Dc}*Beh{&Aleo6aJ5GJH$#5`Q#;#0?{xw7Lja&Zs85`rFGXLW@11=l`mA=FQ`>g} zJPPo&IdmcIr>_ItR|gzH7{PjyIrx}VD#OJ7a=NfbFwZClphIcCDMQ>uyaQkxR;x>4 z>#oDx27RtHfbQOmd`Jgfn2xu4C`vX z6Xx^qe2C-)@RrRJ*4C%M^Ac?kXu1IgXsv@?`W@`%AD}}Mpug^ijk*nR*87&Wjx|=_ zVSUs$SU&=NG;HC!F%SQPZ4&Sp=6mGP3fLH|lZU8#SXabPbX7p7y~L(y-Pss@KFV3n zF2P#rFm%d5%9oixsc8FY@oIRVG4lqB20uQuz@-N_I(v} z9EDY>&CGa|Jy36p=V*-UGiVp&!Tw;Co`rpw*AV_4@IOSn`8R+yaccm zfN*V#iD8@dfDLGdFK5?ki}6f(o73yqdokC3 z#zI5(Vf}HHY3Bv-o5(imbwDtm_PfRB#sHkn%y(d-rEFpg`B97)$C-D|Ke2W%m9e~o}vNSlRq)AtyU-@^{_1HIcI!d)HE zPcO3}w7(22_L&LW;WiGAr*}odo*n>tb_k%x#=oUpi@sf+jfdFf))jA;tIDh`pvD38 zZi5Kd8({r$oVC@y0`>qbEW$mkt&Qz)CzcnXeq$kD!1|Za<6oklHq1g^KMcY1kPxiT zL(W28{|x*V-YraV*c(_V|BAIV@I}#r{Ytb#yP33X47xSgn`~=iJKV;CK4cH}@(@6c z1L)lb5w4#@pFM;+)c}73u(2I(V>{e|<$s|*j{t!6v7li=NCN8Zglh16H^PE&7-T$b zBpXs6#=gr!tr+997=7jkdbdG@yEMqE4!x2L{(r`^jqPw7+u;r@{|Nq}JCrz#ovz5+ z6@B~~`t>!?vOuhhKR`R0Fa%ftm8(~?Aw+}5I&{edC+Jh515Bs}t`4~h?EqZ{ySKJJ zu=NA>jG+ezOnq=Ic*6K58PwlE8@~bmOrU4qyMjKTbtcsVGFUI5kDYWx{_uTlp$(xU z*+K&QT|0vJmdI0E=7qeItXcgL3QS=4jd(}fq?7K^;70(MEdPx5CcyqO@k!-GWtz|c zI=jIX|GP2_c1lCq!~ z$SLHV;ZH|twE;-`5yFvQMLgEOGt^{Y*jm~{=J}WMA@+aB2Z3z1iFlrm_QkrGY(1Ig z@WJTIfjFzB{U_T0!JeQ<-wSz6NTG9Bu`jiRjZkJ{-yj=%kpQvZ5sN&Zvq$thU|-&X zHN176p^$Gv6E>U9Bq)sRHp;7&;~nd9`3t7Oo@VmfY%csj=E^fnP_kKtQp)D?lLX!; zDdQ~cqTv? z&IzW1kE!Ya;J*OA1kf{K0?L;Rpt!%9>7cWx%A42}xr)Wfb6H#HjZ5VUmPxeetc21A zq@lD{8nLHGb-?+LdKUXdjnD^F29;@-OS~zdbp)8=Ku>xeP+?&_%d_yj32-0aC-61U z;%y1aUX1vS0PwF21s)A(3P3%Soxo=RZNL-q3qCIgZiTRC0owuBu&J;?VRt*>+~=@Q zKPNkb_BF*`C-x_UvAq{Y;{5Wf?+3viD0-q^(6&#_-vL+9+l*e<7DT+d#ay>}*b zG1}3_*f)0iI_$LGZQRXw_WL`1A83z~&L7EkL;GCV2ZH*Wbcu!SJ+cd7Eod*#wMElQ>G3sx5q4zz)dQd;?JI|f5T;-+U)LAn zH$?Wpf8$Z?bAQBinrG?)?J}loBbdweGV&c_I==QUyCyUEuwg8m2lVwQ1K%aX_m>nL zmg?{ykwfkWjVjPuicj3*Jk12}5jo9!Bc3aO&j8$jpX3jb<{R)<3Lbkg9c9VtS4>fk zGZ#R&<~Vz<^I@!Sb$uRlg&bl^$cx~23i#ate(8+wJfP1&o(16ZPvCJJ>Wp)Z^8tJe zbl9=3kY7+gd~wmW3FW+vyzNlGO@cqsA9kDCZH2nMh`Mg^@o({Dmvz2Aq__+9qg_sY z_(J_+^HCqZ*m~Dh51V&g_8N2^Oz)I>2aj( z4p>Hc(54!oG1~WW;FbUvp3h)>Hv@E5e(@S~=8Uw109R0+TJk{poxqk88gl?wW3NHy z)Y@Li9wXle;hS(}U2WvL9%*r|?Rpp(=i1OGrKlVHCxjn_aMVS9fngKi8Ygzm;3=SP z5c{l*{}}-<1M2uk`{x8mTLl_b@SP=qFNN?IrF~l4$Ky8IgM+`sTjVnVxXtpNC`P_Q zHI?TR!2fp}zHhb-G`7JPbypol`htkBu{fhWKY&ty?aP08? zmVfY@EfY59GT4pF*j0f3fFXc>fX+%goLN~Q^@qPpe|8P*zbeF)0Tu#;PcHDq=eKNO zVb5Z{V%d~cWcPCT$yl~;l?W%F8Q6*N5$Xqd7!N1|{28#w^fP3Y;W=3U-3NP!{Futv z0K|1tH+bK*(l!jsf^2MHjQ~9WL?cu?iS@$<$jb)S5I{aBDgb8(Hk`wWz`0KJ?)s56 z4!Ht*wK!J|*~NBa?qA`03Ss%^-*4a>xe@P=vE8ma*d=;@)<92YuV8GK1LBp#@Ikzt zP0~)VzVh?l&-9mYK87(JvXylw|7OHh;ebf^edx=vx4ME|s!hbXVl&nkXEpb`3b-0t z4!z5Gz81<7wGjAH-2*xO??bw&tSfAbH28YGr=4X(l&jcu+xI%`1D_A}R4a_|a6nt@{VEGn z7(EYBPO))hr;x8E_^ENdXx7Q~5(^DWV4)4J!o2=7!eGm}eq#Ayow2rqolN~gc0Jj` z;HO%7ANKTFtmi+1j-$2TZk8VMI!g~bjpqXh!&MUkg0P!t@Rwd;ETD0EjV(G%OhqYUNvDLi(v>2<1ZjJjn4aqbipPGu0Fj=`ApR}heAq6Z zFlbw4V0>V#k5PuhAAsy+0LJBL75B6VFy`(cz<7Mu`3xO>MC*%vD1f@(ydMIZq+iC- zJqvXMAB^|!Rf!jp4#r&5*Mdu+18TIL0Hg=ay9x0856opdp!3H7z96hE;l)nCSx%Z> z#nP~6l%_0Ysru`zf9O*9FfKLUDGcRbOCSwr3kXvg^}s3$ml=Dsp7{FmQTRJ`~;cY*dOui zVsc;bChRxDAzj(+b&XSd%m&5ZZjI-6u|He^n2EV-C3v@Vl8NQ7c&crq*;tz|y{^qi zy={y(QU)*$bL_)ZFZlp$x&v&Ljg^o2#~8QGL)x;<1YrX$yq3+!GuPZ~BkXnZC9fu% zTC8)vWXY5kaoLdfrGX%k{T>uX?`F8hq*WZWC{Ncp^#eg~mJ}>|~t#S?gUI0{YCnyT` zWdU|r@OypX^`#T(&%yr2Skiz2Gc8Qd^#b;crvvuEmvNu|oFC*Qj7bOB`~+iK*VuJ+ zVrM$|r%iXp(Q_@Hob9t6@c`_F3m{q;Qx9RxO#mJT*a=txxSjyMRXbq|Q`k-&zCQ%& zDA?u6Y*EP1Y%TUgHX!Z^z~2azF6=H~qH`yp+Jbw4A9B3!Rz89+K{NK4g%??IRL(f~ zOOC_&)lT>m?9{sBjsxy1Ae>+~VfYHtGtsldFNE)NUCwseVCIuPAgp}N9z|OS!2346 z8NU>80MEYwD}YmYz5+n?qwp^gmIgc(KssLzahfrBd!MTdnMSw@<;4p)eT*f!B!$1@$ln1 zKTsM+d-2xLQyc4oz;w<$!Oz5};B^x6JdfuF$`Hs(GqwN#%o_tg3k+G~stM@hE$EXF z_NeP`(D&mpH?||&g*SjsdkuIgaEOWNnR@`&AZ!RAR6BsVZx4UW>^nXTcozZu;s4Z^?^yAwcVQ~-#MO^==lDDD9ZXx_RP zP-TH#E`?E@HUpLe==~}S1ReCzc)+zm02@G7v7Xok&~PU72w=Xln>_+Rn^7J47C?W{ zLYbV}YB69do;R2vr6MnYKM8mbkPT=DxC}54aR&iY@H`%H??ug7G_MKyAQ}0?fYun) zpH58Ab-`x{x50|%r-IUw907Q|3Gf@+L%_>`sSo}FpuBe9+0U~Owh^$+f;q5PssNLO zJ@*A{5`rDge0k;gQf$07iREk7+u-e?UO%$59s4v5pk>G17>1 zjJ1bNDWE}b|9%GTX`COt2ZQ2iZzK);i1LZ{9|-22MEx``6#wt=Li5Z4fQ?J>46yga zeBq9G-+ma)6a5Hk+5S#jpKNUaJuOIiRKft+1IGz9F zEWC?28^0gVI2)zCXY$#x&(7gjJcjmS#W@(=scw(G)`K|9m?h5A``h;`HQXCi`Xe9t z_snNo>3%QfE{%K&h?aT-o1xzTy90pti5ARKC-~0?X%CM;n*^V*uTh5toR_)r4s7R@ z;A^LzV$EpZT_50mRvnG^&jB;ApNG8I6WHh)$X00Wu$D#|3Zs2!dKYtPt%L;IpaR$!ZM&M2!`Bzrs4%tHeYWV9O!hOlUxEmFZaP0ky zc7|NJ`r>ThU%1Oxfj#_paTjYBYp=s!8GE@d`+l58_rM^>*lRiTdjaQma|xurSbJH3 zdk8nm={P?d3_nAFkOh28}52(-Qast~)-%Y}u_~%4B;oAh*|Eke)Q4iergq)MF z&=7Ixy`ji5QaOR{Z`pwTzJPmN@?tg&{(r;h4j24{h6UW=!u>7TzPn}L z+p6QvmV~=tM3?SAs{ttc^_lH*FZbe7<0z7Np%L;M4 zV+~>5^FsVVg5UNo?uFfB-4Ck^(;cX@*1acS`(BdrfcF%^Z+)k`N_wGrXNj=gZt$aD zuZQC9(puD^7xo(O#9gQTY`y#%%9#wnoiq5sR{PT9?wPBhzunot{g1w*K>z4_1MrKe zVeRQ2oWKX!MDyJdX2+R0#!B0puwvcQ1Fzz)p3Kerdc;4*@n*b>dwV+SVAqGnH^Rj| zKBqj1yIUvN^%s(>f4kp<`kC&tg$=;npAXT;Iq)$KdKY&Gzd`&{@I(FtzR7f#(D5$r z6ylzkek0<^hlTDKI^Ln5=&s=$e81?FvJ!nB^d2ntI^9Jq!P&1h4$yY%amQf2Er*y( z*6TTt7i%0s_pQ}>u(iq=(7polWXYW!Z?~&0Z?=3InHtdmpm?ZBZ3hwldVvk!`So^0tq!QR+{ zJO!{PcHmoqGjV_KG~{&~=9hi&pEvy;kqfGsD!;Uatz{tMq~ z5xx-g4HWt=3w?tH-(#URgbmaJ_9@-by$5i3+;13vb6WzDwg?Z2|mUJ-F56-U@KBjadEQmbVS|yVDkQ+Wk&j z$hJ{9zP{y5?|e4xL+E4Q8sYrUN*-A=?p@H4uhAVO@!h!je3=>uMUMBY@Z1I9#9i@j z1BFik^tZ6MH$?SS;N3~zRv>WNa8CQ4)*xgfE3kz%>wAUt4iJ8hz!G4mxGRl$3wv@8 zqXP5|in>62v%<^|8-G7+Q2Lg^Xu<$|(}3>ciTikTAFUK^ML^#xSWP(a8Q(mZq8vba zfHMu|+e*C*_AfvY-$Ed4KmQ-n?gu=w@qGOMef~{i1!Eh;3Sz~|uI%nuVY9n~L9{_i zXlRfU6&gehLW68Ol1UnxR;t+8B+cg{TLe(vXaW+o@+oLR}g-gUSC&AEMJ&hGD4NGo9u_%CDeyB3@% zZTMzQ_upmy=X(F+cP_9$^56RE?__Y>{%iX;^S`;x`{=Fz(|K3=oUe3o zeZKbp$Gr~yZ~n_Q$~Ui9zOnty>ymG7|F`Rr|8*_$&F{1SY5SYsf8X4mcMR7L8+fhO zgWuz!*C$-Re)C%8o7?{@=ik@T|9L(0&Gv78PyCPD-@KOoAGY~kFhmwU&TqaN&Jvk7 zFD71D`Spv$Rdd%6SI>15*UVi=^lN*k8;wO8R}*t(KUqZFU*n+~57W4E?lRg7=XMiU z&D}(FtL2J+&QH8>ZU?bK<0j4N(0H%L%^Ev3bC>4qcB7H&)-)DrT;k>!`5KpL^l4n7 z@dS4)qtLBjtkS-#b$eX<&gk|RZu?%hxS4z1rg5#tkKDcU{xMfXOvw$zJ-R*1_ED_m zVdCn!Hlkl+ryGqEG!|;qy~d2YO?@}srg5#tkBEzSMwb&$z#=1Cqx-xqGIBI7)cBek z=lw&@BJLp`O|L~nKd;Ww(&+A@jy)A*>yojRX>jgM)3T;ndC;cktCI-kGj zSaIEcLbr!>`$^q?Nvpl0@l}nlYkb3v#(o<2*Z3`s2WULVeNK#nH6Ehz7b#&u-8p}0SFxzEvhvu|vT&Hop#tj-H8aK{8 zMdl{$)uHiTjhi(-sPQ3D+c}9M(BJ ztMLtYuaU`fxXd^}w|yFqbtB)Ki-@zt<*a=NaV5{#a*jFf_NuSnBd+HAeL2Uj-NXux zLd&IH_pZ~pUgHLh5se!)ZqnGH@m`IaHFj#9U0P?i8<`tpaXe&P!>8M;-JE&<_@v=*|ce|1Iwj15!=LzB-!%r}BG%h5rWYyzDFGsMItokXUdmLM-$FY?>1DCPA zlGk{p6n&i{e*5cbVzI{aG@d_qI4u|GcDZg}q_JXdAKDwVLZim8#wLx;8tH)wzFoI>XzbJYsE)OB?nH9> zb#9O8_Tw6N={$F9d`c@kr|}Ip@;$;cU>xN3G7iyrgti~4@mRNoSBhtb*C-{0JY&0w z4H_FYhBY>6Y$mSaIZqM2{7hNJbM9^*%4@NT=iH6Cd>5?ZyKkIW#A~sNBaa(PwB^jSp&kNMn!2hc)(Ud_?1RjXN~PS;LAhBrc+T zjUH*&F#o66zC&BwBkCG)kEmstJ}7Qe2=&sxUGxle1}ud!R>7L8jqZqpdm z_@KszH1=qGSYxloM>KBNxI<%~#z!^o)H(NSd`#ox8r^5iFYYtump9x@p0RG?0lIyx zo5S~b3vrg?&D&0GkCAI5#664XYgKSnMA z84Y@s(ZEj`UT?k1XkhI-*mkcn8pOTIXb|@*qe0xOj0S!NxtZ=&Mgz|bQLi!@^eUsl zaIZ2N^eUslaIZ2N4EHLd!EmoK8aU_gCc0M{4SJQ)z)voB+r7$Y;QZg+{=%)PR~Zd@ zmC>-5dzI0^Svq_5Dx*QKG8*(Mqk;GQ4brIVZPfKP>UtY>y^XrwMqO{CuD4Ow+ouuEaHtKpCb-j(c-bP(-qpr76*W0M;ZPfKP>UzVv-mtDWtm_Tydc(Tj zu&y_(>kaFA!@AzEt~adf4eNTty56v^H>~Ro>w3ew-mtDWtm_Tydc(Tju&y_(>kaFA z!@AzEt~adf4eNTty56v^H>~Ro>w3ew-mtDWtm_Tydc(Tju&y_(>kaFAn{>TRy51&T zZuu8YHtBksbiGZw-X>iyzkQcivq{(6r0Z?c^)~5xn{>TRy51&TZuu8YHtBksbiGZw-X>jdldiW(*W0A)ZPN8N>3W-Vy-m8_CS7lnuD40o+obDl z()Bj!dYg5<&AQ%ZU2n6lw^`TQtm|#o^)~Bzn{~a-y5448Z?mqqS=ZaF>uuKcHtTwu zb-m5H-ez5Iv#z&U*W0Y?ZPxWR>w24Yz0JDbW?gTyuD4m&+pOzt*7Y{)dYg5<&AQ%Z zU2n6lw^`TQtm|#o^)~BzTf{xC-l5m{cjz_#9fo_2e}~~7weHYs{5uTy8vhQ%y~e+T zp(P{2X+ndzH~H?o~#+xK|nNj7Sb+?T~d^bDh>)r#07U&2?IH zoz`5ZHP>m)by{^(%7uA(~Z;|mrYdIO?1!UH!%k{y65nln1dVLbNCL;>Cl`G&FRpb z4$bM%oO?CrUd_2zbNKzX^u1Se?$w;lnzLDRHfzpi&DpFun>D9X&(=EiY^_tz);jfU zty9m|I;r57PCZ-e)U<JzMM4v$amnH;UNno~?ByU{ab0g**BjUM#&x}MU2k018`t&5b-i(2 zZ(P?K*Y(DAz5HuC)*jdO#&x}MU2k018`t&5b-i(2Z(P?K*Y(DAy>VS{T-O`d^~QC* zab0g**BjUM#&x}MU2k018`t&5b-i(2Z(P?K*Y(DAy+gX*Azkl~u6Ib+JEZF!()AAM zdWUqqL%QA}UGI>tcSzSer0X5h^$zKJhjhI|y51pO?~tx{NY^{0>mAbd4(WP_biG5m z-XUG@kgj(~*E^)^9n$p<>3WBBy+gX*Azkl~u5?IOI;1Nd(v=SBN{2bp^69ev{2kVx zzr*_TcUXV^4(rd~Vg30#tUrH;_2=)?+UsfU^|bbST6;aMy`I)yPiwEIwb#?yYeajE zXs;3NHKM&nwAYCC8qr=O+G|96J*&N*)n3nPuV=N_v)b!f?e(nodRBWqtGyERS|kZx zmurab8A3wO5E49N?zVe|kkB)Pgq|TJ^bFwz?e&88dO>@=puJwuUN2~`7qr(4+Uo`F zmE>J9E=hX5NObQ%CwVn#q1TJDM~~rq^uFsJ-Z?vHaqqkC;hl3C(Y^1whxg1)ME5Si z9z9m?(PQ-h2LoX%}d=QgKvo71_?>D=aYZgV=fId^V`Dd)`1Gc0$8MDAJ> zdG?4rdqkc+BF`R?XOGCUN8}z0k$Wse?y(TL$3o;D3z27!$g@XehD4q{BF`R?XOGCU zXISnGiQKg&^6U|L_6&;|(!vZ|j04@H1d-46h}^j)@@W^5JGVsc+!DESOXSY2aUkys zH*)9JILN)yCvv549K`$f0wP!X#saOmKx;10nhUh%0DI)iciG2P=8xy&2Oys^Xk^9C(?i&-iZ%pLAF_HVmMD80Cxo=G5zA=&e#zgKL6S;3pyiaR# z->#=Ad#~{B4>j{_j_cuevj~PXm#8D9$Bs5BdguB zLAJSfN91gf$k`x~vq2(fgG9~-iJT1*IU6K$Hb~@bkjU8}k+VS}XM;q}28o;v5;+?r zayCfhY>>#=Ad#~{B4>j{&IXCxyCZV%&RFf94HCI`N91hKSnZw-61jJ0oGe^LnrnHM z4j?Y&@8YiIKKde}U(O=(X)KXXV~KnkOXSm7BA><*TfR;aJKao1J8Rx29A{o6^2t7t z&*F)EvQOlbeIlRi&-;X9f*bi{f8LkwxJ1S!GA@yEiHu8RTq5HV8JEboM8+jD?z}H` zTt031`Z9htb7Ui~p5xO^M%+m3bR#3Omk~G4`$}@@`<0IP6=N-8yFptTHHI}dX>8Wm z!aToXEHW93_oa?Ct7FaTShG6Ttd2FSW6io_&0pvq6NtPsi5wG%921Bf6NnrWh#V7$ z921Bf6NnrWh#V7$921Bf6NnrWh#V7$921Bf6NnrWh#V7$921Bf6Nr44MC6!2QHomEg$CLc?mLC4kjRAg>C7gD|`M=|HP{(f( z%RnVMFoG2SS}qUt*()7W{F4~|t=QfL7!}EA!Hmd03H}s%81&gM7eSD>-zSXnc9L)9t=5z@A4rvj|X8)l9k;AGH z7dhOIDUlG%j*9_425f$Nt6CTRbVUq*vq^Y8}%i zlAn$d;mTx2QGQ)2^-ibOw_7nK@|_xtixl(t3~HRw zBXVXLn9G?-k+Wz!tDl#ewvq&YdB>x%54kanB|9 zJo=qi0BWAcoX_hO`CcCqm=s|MDa%3;!bpi+Pz!2ZK&=bnBHt(H`>e0r7Cy)T`4=*m z3yV<$`dt_kxtRG}Ou>t3yO_3%J1~F=;m^l`J{48`8d%1?ggTc{=Mvg3DFtI*5)t7~ zoJnN~f@nbuqnHx8tQFlz{>QJX`(c2u)cavQ+R=kJ#xWyuc?NR9ye=<84amEk8ddbG zVt!Q#FrO>Py@K2;$i0HxE6BZq+$(wz2Q{yl5xJ7QE6KZ(yerAOlDsR)yK+?IN0t0) zA_4oWi%|>KRNapxQX*G*Q2^F=75%R21N*K{M-B=xD{@U9D0WRNxT;3f&#SS03*+9({#*HaTM77DPrbGDU0W&gQ!iRY ze#Tr#lMrpUXM?;3wi|PV|MeLu{-hRpO*10RRT$vUFw^(vLG+2V6p7qHzdQ0VDRQSE z3*`NR{MHOGpI`bw+pkJcff13r82c`2w6%!*IvqJE1Y_M@jvkTU-QdF-(g@3Q>$o)S(SgFoy^^5pwRK&OMBIPXOfzft-7WG0Cs` zW&cJWictybY^2V{CY1vHPX7V(U! zvTvu20eaL!^ozVkzttc+wV~0opz-7v+J}^kpC`o zc()a^{Hj%IycfoZ$osUv-+@t1>9UZA07}7}C&`;+Zj;pdfVK~){{gulQ0K#3lz{pl zrGv*GG2TaIs6`vP5l50gPf5-cIa7>3MZc*a+A)A}k&o-Z_9u+DEvkF8pDe`#%s!VCm| zz6gV{zUaX)81qXn^1)bNwt%^PIffbjTxdG75kMtEh$AJEqCG`>ss{8+^*;9-vkhiBBqe$`Z|8r39{{JNW zKQH9|s{rKws{%oU(1AE6`Fr*1l@h~dOq(1#fC{kRW^6kO zYS{^pYftlU?0M|)*x@mM?a=VVK%0lQv@Y;CjmPPXmtKT2Fy>wYFLJ<`^B8kpw-|fZ zp$&|+H~sb=!?YL~?9U)~9~(1b>_`9ol45xK#n_)Y?mr>M{0_{D@h$3P1`!hDfNW6z zK>8oZ{)7CWW)}Oi=zlQdEhyqwp_7}P1KP65Kh%pn1W*q89+nH{bvXMD=Q%!{eus~U zkyD6qF^(ukpBM}2x3C?|Vq!`QnAZK|E!srmg z$NYVHpr4O^KKl9ScdQNi9ZTB^9~f^%CF;QZxn?qsqaN2y#&OgtAip3}jN=8vVw}M9 za6&1lx01Y-T=#W*D$b)e6w)H#(tr&0g3T2TMAVT@r?jG{bH>+~G>&;rK)HvPUG z#k3gTNk=^xrLM{F{pD+CfI)tbxYYUW!%yUG0v^Tm>B2vit)V;G0Fs0s6`mVVw_L?^K-%6 zE@1x!Jz{*H{pA&)PC5O`>0dq~#)Wxk1vM`Uq8qedG$Y2v1!8cmX8eGh9|XXBe$X$* zB{^WMOT8#X8yL5eu_~!i$@XPFL=Xdyf9M7Me;5U|FQ?w+ZD8E0Y*c`GRq^VYI8khTt)w@xWD@F}tUQ3N@ zd&KxL>-%vLDo~3_F|OnBb>v@1e$bCF7~^{STwe|5aRcMsz*=tL@eSnO(2tZDH`0D% z4tyv^4eHT~Zjg85D5za)BOCefqYUKNGG1*5#`%>n0&3nw&6^5Q3dX!Cga~37MiPvF zGr2eCA%GyLb8|07_!B6(s0Z71j9JGxbGpP#jYF@DyASusK-VEgtAF#he-X(+`cm|tT$vcQ;)AuxWJal*r5 zG!=t!nkK|(Ca0P0pOgP{=Js>)T6~CNOpH77kPzce=5}WU{bKwg2XQf4>DyW>#xMP7 z72{W4REcpHweG6G6#t`X0jU3L_Whc5-A$jnsd+bJ{f0WfsS$%~Fr&Q$jJK{5K{3{6 zq8#L{@4$o@8*H#|L%SFe#)vRhgg*E95fNh}`!_P)M&`1Kuba9sD@F(7bo7dGZz0;i zyf$}>(Mf)1RE#caby1^>aem9(ej5_wKK9*LC&vBsxt}`sr^M(k$Cwyfd(*K^w$Z+gvA6Ys_GkvE7o}g6aidYhF(bwUSttU1AE568?dU}U%B{Oo;I?`ycKW<9F2jU5gmMr|<8}K)qNlB4YeOz&ier6yuMq^^ap> z{HYT3?+uIbNIK}dox0nr#n@2^=gfJ;a zzaR@f(67G|^`q56 z{3sJ+FcU#B{vu%9zl6nz(-x;@oSIMA=mNE#m=I&A7HwiYNzRkyVBeFyVE-_WhePPV zh!{`hqg#xp`T8_{o@U<9u>DNE7$XAaFyd~vVnB?)<{*J7F`g|#1sLyH_CMQ$IL0v} z#&a3S1vQ>4Lk+^{0P}fn1QVDQBaw{)l%NXrXh#p?7{`nl&u1VXMW{e6$a|i==SM)j z=V!%uArs`ikVHz17qj3)F)C39);pR9>W@-?l=?4aAQyg=p$1`epcjns5@Wo?7%wx% z%LRxa2A-FfC&hS$y07r~6`t=`#xN}gr{Knz7d(GsJ_NwHuk!WP9`u9Sua1lHnjb-Q zfwtEe>viVzdI^~K>oGCLGr-)($s6xR0x2=xp#B@}VC=v7P>D7$k2kYXjDAdukz|}? zH6ozzTlokf3i98sKo~Jhit!G)@63oX;RSUk>d^((@h;EByM-u29Xc?8DKXw-?(YRa zjrSSzecC5!n+#!Gj1Ov%5aUDIK8zqG#z(Y$G%UtcHiDQHYYUy{SMp7DgC0DUt{(J$r!>_4De%mcH~iWxBv zqW?kUW%)o`7Ih9L?_lP!fH^D(gIb5M|B!YuvvX08SuqbSLtMUC829KIG4rUGmkU3bV_pry=s+(^i^5-Bm4lCzYYrPNtUou$-S zN}Z+DS=xsLCdFJP$bt{WAa7YKMlmJka@v>EzMT5Yd%+x*GY4NGN>PmvB8XuaNuvv4(1kuRS7aa;ez2AmHK6|r`X5KzakL#r&Esf0jzQ5_MpHToalrC&etx zLjdInq6J+br;waNa#jhl;6pK}v#Jhlh$1QGYWA-#L@9!x&gve-F)rpBYOEn=4K>zK zV+}RdP-6`>)=*>30LCyarav7ypq{@J)d+!g`gtBs%tj5u7{!#BC;3qZ+E3~S?I+QG zvJLW2E-aT0mcYWBQOBQJ|z?RV7yZp@019ra|(4%rOv6;Ih8u6Qs-3aoJyTj z+tGtK#xW!2X&K0cAGPQM?M1W~6{8Xz=*5Vbr?XzJi_Ozn@9C`fbjCkD1jau-hG8U; z67$<$I`LX?6&CG;twPYHcW=u7<^{B0z+5hv5%c>QU>)Bl=lcUQLcL3U|_{|f3{QG_r?#Jn;G<>(RfM_K3+lluu~ zbu9+Oyo&u-MZ~;17qneXpKEL|j~d3RVXZaeVqQz#YgzBLjPv7C^dc_ib@ab31m+Vg zLJ*7<>_>(jxw*XN-SLw?Zt?R*+AWfgqV$$V7x|Zg#Cz$ z*(9h&H^#+mCbyZK=A@WEC+FwApuHu8xR`e^|2vq=ojE7~W87JRAn3aM5Hdg`s85_3ZhSWATYM#zuEz~g&-pwC7DIUC!+zKx@p z5pxq`Z7Kz|H-$j%CiZU{2K_gs#O&}Q4*`@T2*&8>LLU;C6!Ts|7JMj1HA09WhG8U; z5_2!vfx88Dp7|vL@|IdOpAGcI&x5mQdA>^2x1sU5-Bme zy~slVvwT?dd`v=-V?X=EH(4_)v^W)S(Sg3}6h? zV*V~2IVeOas?mZj^dW&sF@G<}f)B;0L><}?#Q?@IEoLkoIVeOasu4m2F$^P#l$d|; zA`bzSBZwAsp$`d6iup%D7JMj1CF;uC`2i$5d!P^a~~3z6!TF* z779S#qvSnG-lGx3FpMNpV(!cY>)y$_ce3uCwP4*l8G9$|-Z=`^-ESis)a<8bKQ;TQ z+0WShy%@m+X2pCg6V!Z+nvYeW7Hx=P0ArXI^YIMiApmMVPR+;bK}QCjA2^Lcsg=Wh*DG|ga~3Fm;0Ayd=e=! zpCI=MABs_lI+G&BN^}^BIaLtzW&PG{@MZ7 z_-qKw={ee;qwjOYh@$WR?0KG_7wGeXA7!XTJ9@ylFHDR1Vj&pg#a<-D9AzG(MW_dD zqe(GevXO&obb!2JEG`E0uxAy`BnyUP=I1E-djP05kU_Iz}Rn>iun#>ywibk zF(*pE*zcB!`5t}Wr_TH2P5MFG2UUoP`5}EiY7uiP7u5Qgd3_ug^Aq-eGA-ucY5#jS zhA}DTv=@b7?$c2)#;1J!ER0z(KhG3%CJ!TGeo==OFsCni#r$$c%v1&{&?n|UnbSYx zVt&QrJpnNOEbEwU7xQ0?`>$~^zitzA&PJD5(j%4uvqCH@B9@(pxL8guCdBd-q8>A1 zrP;{DtXS!^rx&AKti6I_&GUnPdl!h6!JpsVN02YpzO@(@Yd>=Kn-a^*S8qbB{j(4j zYrYq~Vtp$YWr%>hOtv%Wo5|x$`X5jw)`8?6*oTx@2QlA+m`4_4WR;)>?dZiQX2d!; z69p(kE!xqGQOt<7AQSXoz}y#81MKT z_)!klbbP;9C)g-KJIFm@M68uQM8zu10Q(ACLHjBmuc}5|tkv{eU4$@rye1vRpw1fR z>}L*sw*BK`otO*yok;x?r^Grb4?I38ib=6f=JCnYIhlC|7(3908L>_w=M?66s-OrF zu}%wu`J6_-qI~d}dvMn2jB$EBX#aLLO3?+z{|+^Z%g};pvCilQ_0OcwnbbNf4Dw2f z#QLtQ0|R26oet`p&AxNkK8JnhFvoKkqcjths71F}=N5y<=hlgJo{bn1V4Ux@i&d6^ zJg|l`YM&nlIozkRE?^xO)Wh8-|NEI@m1m1}A-NZ~h*eP`)(`l~{UYlUaxN9H|5C=h zlrb;u0MEgtQ({$?phv9B80)ein8Oc!pceOstjj}4iB;7m))lm0N#2!lv3^u9R&@}Q zVqF!$tXNm``05r!F%0%ylYxBDULz<*D@Me+mN{KpDb|lmFecV@6_^k!n1x#OiFG~O z*Ry@SyPXp22J&xU{2Mb+3i4~q5CwC%sS3kl-CTqLv3|mw>T*DP9XYq;qZiX+-OBc@ zA&iQ}{Tb`F8L{g5TF>LP%xx{(YZGGq)Q>hyi1jnte#X}ja}H7G_FS<4c52^F?(NL6 zfw~RkHMAloR%5+bVV_t{0&<#L#QHgHEtO*3Q7YD*Hm1e;1^KPiYOO;DsP#+c{>xfK zz`A}_4Ep}6AG2cJ6#%(+G50pcY@^Pv+5hVvjEQx3CQ2|R7WZ1L->|>E02OG*h*;cn zvDWc;T`T%Q?)oyYy`KH+$Hm&n?J zZTGe!F4pFJu+2RXtJ4SO+}VL?vAT-DoPS#Za_=LTdlJ@tY~SxkOswug42ZRbF}4K3 z+_v(ZY^?!xx017!vA5B-Eh<*jMmE|oBh~}eNQm_yV?Ed{)v#DmK@brzAFi#f-+SRhSgaWPV(p+-j5)?;#rgyFxGuK-5Etu@ zhGk^ zPHOC|1pBzgvv!V))n9-bv|vE2$H;rE6tq1?&BrFhdb|}KV(rQVdAnj_?amQvFd-J# zAlA^dSi>o?o+%S+WJIjzl48BUSfk{PvL4Q5t14 zM2(jj<7FR8P>p)AUg7ar4u(PA*tA%$W`MR=srM@NUM2U{FuKqS=JD#JSg+Zj|7+}f ztphV+y%Fj8?=$ZEGh$6L#$*fV z`vGkqv}0DR4@*G*4?95KM>SylsZ0dG<0;0S8W!v03^13EY5SO3A9tZotWW%?1~otF z$Anma&jERVr|;jXH=Pe2PxoL-tWSCTDchg%^)tSH&ezY&P>*gTFeTPZ779=y))ysU zyf1@d%@vDnW}*Z!u`NLrQexY2v7I)|i0z4pojxk|-mRcL!w>TJNf&$HYO%dGsNoHX zy?>e5^Rv+__P1!u^kPix13JV$uu|-U+2(xEKBP|UY-;8(W=_4>M^NJk+Kw0(dm(uX zr^U`K6#J+Oq{Lpt*hdGzzN16v!T^%OX*F^X5PNZt*h^Z(KBh`+&b{oV`4|v;S*h5| zneTGOSUxGXk2(0rJ(jj(ncIqD#Kb<1I>+^iU66%@*vB*O3FR0Odu0u%RmhxH<)cUJ z)vVz}0X0sd-^ug|Oo)AIo!F-ZF)elx?Wc#u{&p5x#r}>D>@VhVaZ>Cv3c!5NY!Uk` z`kWOLyCef_mn6jgE_3>Bjqt}gF(CFiQL)eM75lu1*xzFgWn*HWKP)!q7zG z>=yeX>Rdc2_74JLU&0udQ0r2*FHMPEIV1KDX}i2n>?=ZIUzrX1|ELJ${b)+;>P+N= zw(1Jhg0Zg3LWkH_w~KuZ^=it+zBU7`V*i-@>!^FZE%uG%+*AVU-JFeCv41ilcHM~B zw^WFIYpK|`)r(zE-L=(X|1=jZV*iZsLLFi^WQ*O%7>)D~m!U`OrgYG^i5ks}(@fsa z8SCflYiSkxjxMo(;YC#JU)G3y7x`^*vD?F9ug@2I!>HJiO0n-DXA^6`m$`3d%uaOm ziv3&a-Iog<-!~=p{XPW6?)Hnlh3zddOo+WT2UTdtjM&?1#f~yBes0+hkn<3^Jt?tc z)Q=5_{RhVX1NHvM*FR-qRP0{n(VG>UBI`vgT`PJQ(KGxfQb zXzv^m`!Vdw5PP>@?7=ayx!+_z(=9glP3-4N#ZE9rVqEO!nahg>VvqKU&9U5mrB3Xz zxY!(nZH~Y8>*)xB8spR&FGnrfz?|M-{~PRogIa$h=S}99Bqup4_FH9QzfJBtJbs6o z69pi5A_j8bwUH0@zZ*giXn&9P_o~76`_!AP5c>nh`mjapkNU*^n6W=$-04cOKPwdb zb862-#r}dd|HF$}vHzJR_E(I*$0zn|o!I~C7yIievFB>Vk$^ZxJ_f`w!{S)gm=wnz z7002?6TvWM#7WCR3F^g3XFI(ZLBz$`D+>Yec&{!Dh%+w})SK51a`w(Z8KOvulTifr zWlV{)58M0niL-A7dNC``e&p`QS1&pH`^Di{>C7kRTNC0O!1e*;9mu!`*1_GL6z3q? z52DsVH3*{vGvZ`1*Mq$n6KBDwIES#0Yh&loGPHxX!+fCMVa)Ha8F3D0J%{)F8|yio zoWrNZ$+3|GKPpj+HjtZ>z?3*gcu@fMAHn`3*nb53k6`~1>|eeoGjCNeGO; z#BHbEF*#tIV}fA(V+KIIeA@GA&!;_~@$(ZPe<^jAGXByoP=9GsoMqHsM*A}AFAIVC z%V=Lt`*PZsSD+2#FP|32my1e-5yQAR$9myM5Z$2viVOt6dic5Kte6mopKZ=@)H|*V zy-0xh7SO*SAEh9_fc*uGSCACvcpE-2zvDw-e#g7*v*MhPgCYdcjsZ|_CG9I|UrGDQ z4kSQ+A$1C?&;{xjCdFAr{Z+KDqW-E7sK1JK?m;-KXas8`g5IHtupJsYK{2YIKH_iggN zU4jsLLEd+AQHc&D#VMwKaRAgWre87r&d34v&*;LaIA?l6oip1oBFy zl0t;QT)rC-=jL&Am<0vxg-Z8;#}%S52(vIic?9y$~y4) zGV(8DE|*c`GWz|HoW{AfTbv(L@5jvlx^$GHSDYYY25Uh3_4K_yCe97* z;@rrbY6IfjMD9)G-V_0Ix|#8A4x&$-pHTNF1*kw6^!*9*tfNmI?RC_xW8Atiac=RV z7|iXKC`QG(RY1L4%h3XA-a0AHZH#{#+qcb#Q(uTmv|<=j;;g05+FFqF(@e1aGsX`w zMu@qELLl#UAJ}($4<^KEC_)6I;xrb3nvE%O!puKR?eMfXO<8Ecq&UsxV4HI@r#UXp z&uh>xPD?)cdPgbRF(%HPIiSv+