From bb1ee2e2331863a8b3e227b92eee0cb380e76786 Mon Sep 17 00:00:00 2001
From: Johnathon Isaac Tigges <207649357+itigges22@users.noreply.github.com>
Date: Mon, 8 Jun 2026 14:08:24 -0400
Subject: [PATCH 1/2] Add blog post: Inside the vLLM-Omni Architecture: Serving
Qwen3-Omni
Signed-off-by: Johnathon Isaac Tigges <207649357+itigges22@users.noreply.github.com>
---
...026-06-08-inside-vllm-omni-architecture.md | 109 ++++++++++++++++++
.../async-chunking.png | Bin 0 -> 226534 bytes
.../broad-model-support.png | Bin 0 -> 479373 bytes
.../inside-vllm-omni-architecture/hero.png | Bin 0 -> 1179157 bytes
.../qwen3-tts-benchmarks.png | Bin 0 -> 237455 bytes
.../stage-graph.png | Bin 0 -> 214284 bytes
6 files changed, 109 insertions(+)
create mode 100644 _posts/2026-06-08-inside-vllm-omni-architecture.md
create mode 100644 assets/figures/inside-vllm-omni-architecture/async-chunking.png
create mode 100644 assets/figures/inside-vllm-omni-architecture/broad-model-support.png
create mode 100644 assets/figures/inside-vllm-omni-architecture/hero.png
create mode 100644 assets/figures/inside-vllm-omni-architecture/qwen3-tts-benchmarks.png
create mode 100644 assets/figures/inside-vllm-omni-architecture/stage-graph.png
diff --git a/_posts/2026-06-08-inside-vllm-omni-architecture.md b/_posts/2026-06-08-inside-vllm-omni-architecture.md
new file mode 100644
index 00000000..10ba4e86
--- /dev/null
+++ b/_posts/2026-06-08-inside-vllm-omni-architecture.md
@@ -0,0 +1,109 @@
+---
+layout: post
+title: "Inside the vLLM-Omni Architecture: Serving Qwen3-Omni"
+author: "Isaac Tigges"
+image: /assets/figures/inside-vllm-omni-architecture/hero.png
+tags:
+ - multimodal
+ - performance
+---
+
+Serving an LLM is a well-worn path by now: tokens in, tokens out, and vLLM has spent years making that fast and efficient. Multimodal inputs already fit that path, a vision-language model encodes an image into embeddings, merges them with the text, and it's still autoregressive text generation underneath. Multimodal outputs are what break the shape. A model like Qwen3-Omni takes in text, images, audio, and video and can talk back. To do that it isn't one model at all, it's a pipeline of stages: encoders, an autoregressive language model, and generation stages. Serving it well means serving that whole pipeline, which is a different problem than serving a single decoder, and it's the problem [vLLM-Omni](https://github.com/vllm-project/vllm-omni) exists to solve.
+
+I wanted to see what that actually looks like under load, so I built an insurance claim triage demo on a single NVIDIA B200 GPU and instrumented it to show the engine working stage by stage. This post walks through the demo, separates what the model does from what the engine does, and then digs into how vLLM-Omni serves the pipeline. I'll start with the high-level diagram and layer in the mechanism as we go.
+
+
+
+
+
+
+
+*Figure 1: vLLM-Omni reframes serving as a heterogeneous pipeline, with any-modality inputs flowing through encoders into the autoregressive core and back out through modality generators.*
+
+## The demo
+
+
+VIDEO
+
+
+A claims analyst uploads a vehicle damage video and a customer voice statement. Each claim fires two concurrent requests: one for a text-only structured report for the adjuster (visible damage, statement summary, a consistency check, severity, recommended action), and one for a short spoken summary for the customer. Qwen3-Omni's speech is generated from its own text reasoning, so different content for the adjuster and the customer means sending two requests rather than one.
+
+The hook is the consistency check. When the audio matches the video, the claim auto-approves. When the same video is paired with a voice statement describing a different incident, the report flags it and routes the claim to review.
+
+That cross-modal reasoning is the Qwen3-Omni model, not vLLM-Omni. The Thinker's audio and vision encoders project into the same embedding space as the text tokens. Everything is concatenated into one sequence, and self-attention runs over all of it. Any token attends to any other token regardless of modality. That shared-sequence attention is why the model notices a spoken "front-end collision" and doesn't match visible rear-end damage. You'd get it from the model on plain HuggingFace Transformers. vLLM-Omni doesn't change how the model reasons; it changes how efficiently you serve it. The rest of this post is about the serving, and that starts with the stages.
+
+## The stage graph
+
+For Qwen3-Omni the pipeline is three autoregressive stages plus encoders:
+
+- **Thinker** (~30B MoE): reasoning and text, with integrated audio and SigLIP2 vision encoders. For a text-only response it's the only stage that runs.
+- **Talker** (~3B MoE): generates audio codec codes from the Thinker's hidden states. Runs only for audio output.
+- **Code2Wav** (causal ConvNet vocoder): turns codec codes into a waveform.
+
+
+
+
+
+
+
+*Figure 2: A Qwen3-Omni request flows through three stages, Thinker then Talker then Code2Wav, with the OmniConnector moving data between them before the result reaches the API.*
+
+vLLM-Omni decomposes inference into a graph of these stages. The edges are functions that transform and route data between them, and a per-model YAML declares each stage's device, GPU memory fraction, and input source. Recent versions split this configuration into a `--deploy-config` schema that also captures the communication topology between stages for disaggregated deployments, with the original `--stage-configs-path` kept for compatibility. A few things follow from that.
+
+**One endpoint.** `vllm serve --omni` brings up the whole graph behind a single OpenAI-compatible API. Requests use the same schema vanilla vLLM uses for images, extended to video and audio plus a `modalities` parameter. The cross-stage orchestration is invisible to the caller.
+
+**It inherits vLLM.** The autoregressive stages reuse PagedAttention, continuous batching, CUDA graphs, and the scheduler. After tokenization, multimodal placeholder tokens are replaced by encoder embeddings during prefill, and the KV cache stores keys and values for all tokens regardless of modality, so the scheduler stays modality-agnostic. Prefix caching carries over too: vLLM-Omni reuses vLLM's kv-cache prefix caching and adds a separate cache for the hidden-state tensors that get passed between stages, so a repeated prefix skips recompute on the AR stages just as it would for a plain LLM. It's supported on autoregressive stages with a single kv-cache group, and you toggle it per stage with `enable-prefix-caching` in the stage config ([details here](https://docs.vllm.ai/projects/vllm-omni/en/latest/)).
+
+**Disaggregated resources.** Each stage gets its own GPU memory fraction and can be placed and scaled independently. In this demo the adjuster request is text-only, so its Talker and Code2Wav stages never run, but they still initialize and hold memory. The container passes `--stage-overrides`, reserving 15% of the card for the Talker and 10% for Code2Wav. That per-stage budgeting is the foundation for scaling the bottleneck stage instead of duplicating the whole model.
+
+**Shared-memory transport.** Stages talk through the OmniConnector, which splits a lightweight control plane from a heavy data plane. The default same-node connector moves payloads through `/dev/shm` and passes only a small handle through the control plane; RDMA and TCP connectors handle cross-node deployments. The connector only moves data between stages; a separate router handles load balancing, so when you run multiple replicas of a bottleneck stage it spreads requests across them while the other stages are untouched.
+
+## Pipeline execution
+
+With async chunking, the stages overlap instead of running strictly in sequence, and audio streams out as the Talker generates each chunk.
+
+
+
+
+
+
+
+*Figure 3: With async chunking the stages overlap instead of running end to end, so the first audio packet streams out far sooner.*
+
+The demo's customer-callback request runs the full Thinker to Talker to Code2Wav path, and a live timeline tracks each stage from real timestamps in the streaming response: the Thinker from request-sent to last text token, the Talker from the first text token (async chunking lets it start before the Thinker finishes) to the first audio byte, Code2Wav from first audio byte to completion. You can watch the Talker start before the Thinker is done and the vocoder start before the Talker is done. This overlap is the key serving advantage for audio output.
+
+## vs HuggingFace transformers
+
+The right baseline for a serving engine is the same model served in a simpler way. The vLLM-Omni team's published Qwen3-TTS benchmarks do exactly that, the same Qwen3-TTS-1.7B model on both sides, which isolates what the dedicated omni engine adds rather than the model.
+
+
+
+
+
+
+
+*Figure 4: Published by the vLLM-Omni team, these Qwen3-TTS benchmarks run the same model on both sides, with vLLM-Omni reaching a real-time factor of 0.17 against HuggingFace Transformers at 2.64.*
+
+The comparison uses the exact same model weights and core reasoning, which shows the difference is entirely in serving. A real-time factor below 1.0 means the audio output is faster than playback, which contrasts with the performance of HuggingFace Transformers (at 2.64).
+
+## Not just this model
+
+vLLM was built around autoregressive generation: one token at a time, causal mask, KV cache. Diffusion models break all three. A diffusion transformer (Qwen-Image, Flux, Wan, Stable Diffusion 3) refines a full output over fixed denoising steps with full attention and fixed sequence length. vLLM-Omni implements a native diffusion path alongside the AR one, on the same stage and model-runner abstractions, so one engine serves both, and an omni model can mix them: an AR stage for understanding, a diffusion stage for generation.
+
+
+
+
+
+
+
+*Figure 5: vLLM-Omni supports more than 30 omni and diffusion architectures, the clearest sign it's serving infrastructure rather than a single-model runner.*
+
+## The setup
+
+I was running this on a single B200, which is 192GB of HBM3e at 8 TB/s on the Blackwell architecture. Qwen3-Omni's weights are only about 60GB at BF16, so the model fit with plenty of room and capacity was never the constraint. What mattered was bandwidth: decode is memory-bandwidth-bound, and since only about 3B of the 30B parameters are active per token, the rate you can move weights and KV cache through memory is what sets generation speed. The 8 TB/s is really why I reached for Blackwell, not the spare memory.
+
+Some resources are linked below if you want to try it out yourself.
+
+**Docker Hub**: [https://hub.docker.com/repository/docker/jitigges/vllm-omni-demo/general](https://hub.docker.com/repository/docker/jitigges/vllm-omni-demo/general)
+
+**vLLM-Omni docs**: [https://docs.vllm.ai/projects/vllm-omni/en/latest/](https://docs.vllm.ai/projects/vllm-omni/en/latest/)
diff --git a/assets/figures/inside-vllm-omni-architecture/async-chunking.png b/assets/figures/inside-vllm-omni-architecture/async-chunking.png
new file mode 100644
index 0000000000000000000000000000000000000000..cf364b03c7703e73d85007f48e630fbd2fa260ae
GIT binary patch
literal 226534
zcmc$`g?W%cf-3l
z@A=003x0DwaRI~3J$tXc)~9ZQU&%{iq7$Q|prBw%y%bkMLAgDJf^t(9?H~9~``ocK
z{O|6Ymzs_!DEA&*|9fL#+UFbvg&ajnTvWwvVtv|OP-X2A%C_rz6yEsPm*dj(cc-N-
zBB_`erU@p@qcdfuKUO$iLV
zdhX|VBIA-MotGJ}j@{e?ZrwJfI*U+J=inq38P>CFWg(((wFJPrswrj+I!Kn52=aB&}mp)2ng`L`8X14AKR-8WKCui
zE6w`m7etbd>6vAAFodiQ`VQJ!EOd9PD9o~@{~;tAza2aLUFpFEZTMh$CC{Le@)MS&
z#Yd$0=`(+eJ{}PY&09~0rBepT=QQ^Jd%gF?`LHzgy0B6k+b1OMeD&(##ll|eWa4va
zw>zW2k{`jx-Edsp>hAi9{(<;W@@aUvxn;JgNL^+DT_fH8E@tKFLQH*yR#)BEF6vyB
zzeyyvY4vl+FediY75gULm#B|Q9_
z(A#HLwb|an{pfX%Uj5k*MDFYu*H_A|5v>EmD9(5hFYORR
z9BnmBEv(uxAtHj1f=l{!yHnog`2p&tNch1%rmKdHu#z*HV=Ree@uK&swCKv;Ic7$}
zhwSK*dG`}}4E9&XU7Rt)YUFjy?wDLUXdK2ja>RKa7nVx6rahN(j~yUi)xNUcno+!itsfJfmnRT-)8-
zyU70fD`*Kx;6+rJF*Ohs7ABW|H{+9f@hpWu(u8Uky@5@-)IoUoDbHQ>?Yno;p=KiS
z2ys^_GmF0Hvs?X+A3!H5G#I<1dZ&|v6fgF?X1qqUUxhgAgV=cGf$OgDn0D{*s9N;O
ztb({k(8XD`7wx{N#$z$_(UxYU@ALsV-M{Pi-2eFGMEr$6W1dyRD0jKh!R|-PmYc%5
zx;!CSrb}VT%Wv^*9qLNj5B@=9W+2>GV!oqgthJKFB`RnN+x^{jSJt%M_MS0o@%!bV
z)b)EiVHAxbHIm_@zgYI1^lqbe4|(H0tlps?DOv_jBYvt4;h}#o+Ixe)V{V1D}G5;YmRr)2zwaR9_#`X$+U5skgNz<`e3&oEoW^dDoTl
zaHfg37jg1wR=JpxPFI`$5Zdss6l<^LeydP)dq>3L@)phxHd@EO-Ume_!`rsud&Z7<#Y
z>L)Ani2h9NU}tbNA+t-F6svSEgdQz*wn0%;K5EBOS=rI{7oq>BFDb?bimMDczG<~D
zDT-`OGd&kSO+T||=Q&H<$#}~?9vwWV@w_fl2+8^WKZ9d?@7slLdQ6)4p+{fpXFC5^
zWE8*TI_26!NE+sS&kXPonN^8es(V6=N6MGW4=l-S=3p+=H}M-
z(R@wx5kezJKiqu#<1U*cL+ZKsNhr##7Ut9T3`Aeu`Pa&=#Ol(R9Fpv$PtkR&SUxx6
z+@oj3>Rt3pUNoUsq^x8GNr=i_5}8zfGaCSC@tugA0)BR{5a1bXIZ6G9ZaY
zp`xo;=W|q5^Q(Vr@1wPAYMp0G;^N`G5NSKXAaOLg;n4xIuQQIqqW`tYbq~Vii*5LV
zi;G4|{3g}qxgR#~sxl8#L_H8`IrA#EdfDA&VlAyIbvf3fI!J4N4}G`N!pyQ^)XbFd
z%ay!$>h_XkLLiQ=h162?UZ`*UPKN%)rem*e)`nxvYhA^SCCd?i&%MU^Xx>EyRe{#M3&mkk58%^V?GyU_l}
z47AMs*{M>}z1aiiFmZwyIZk^*t!#EJOi^CGenBzhnEtN$Fmr#MbJTByDUDD1b#8GG
z+kz@7dh@U?eFY0E>sI&yf#b;K3rV_t_Xm7*&vORt?uc{bn;hJ7|vg|WIN%u*rn9y_m~=mnap%5XT_Oq&;X
z@%BBjl_WiJ{bNRn_6!lVB>7>JGEq^{%h!(xduO+wiqVlX*~U~WHPnl|=V%OUlfqnA
z(0!q&9k%nQvGvJrK5I0Gh&R0?8Z&!pQ+=cS{{dUrVk;%ls$PH3mUmW(#se51E8KZ)
zZ^8XhQGGVyQut~%2lL9kWBbJFWVv`Tv=v|Vd*S9CM-)8D>_JJ5mue2r6x*L>5J;#5
z2Y+NE<>G!Ctyf35`+nywZ>tN|4bgwMY7}yRY*?xT-20TFPgO@p0t96Q9XIBdVjahd
zIb@|+wg+te`-sgdSxxYLZ7#ga134D5hPrA+BJ>Ce*Vde^86Dki!ZOe(YU&7~MM&f`
zlD*LpoiSawif-G-Autwvm{p{rvdetscsER9VQ%hM94mdXvEU~&ZX^RQ#|?^1u9rzw
zMnb6nDHoJ&zb`36ie^@m)63Xm0uis11-xs&q~IklHjBTI&H1Y~>SZP_0Xt4l$@g|g
zN#2KD?4=o!ZPzV}wx2$cFCf^i^l0L$r?oYt?sQ$1c;Vd=+lv-I&FEHPkF@>5yhBZ$
z2|RCR>ysQrZYU}e$*m{DSn41`;ZGB)y7lgR_f6Et|0-ORgb__*1>&4w?7S1*2A?B7
zd9~|m>|gaWrb@U5EWeYnRvMz&*)547p?SE^z`#kca
zTktBCf#?nYKC%x&3Gi$#E-n(MBT=+=>HBO?7I#e6Z~j+rMDY+t4{+Gol6(J;7h1-j
zHu09B7whbXWEzsOOogh?31H1xD_mrq4%AK#`x8k*4y
zZA%78TI&0bGRqKMwHe1+*^07%tzEII8n12`m|3Ls58u>i?hJ9Qmh!!d+|kec`-xOz
zn9b|%zd!X=MxNmH*sM{Qd4@KAW+Vhc3FLw`ECF8jll+Rm~dL+EHw^$R=XsC;o
zZ27f_0~+U*vxF^YY#?^2HsA75RUp#0DQJt_A8(P$Q(x%$f8YelpA>6?@P|b~*bMZ=
z6V+E7X92h~Z0|X)TJ)l3O$S$;EP^lnj8RKkjy+AoiR^!z
zz2ew%QXYa?A&7<5o8^~W7jCPn_6gdG#nvwFU}yF7}eD4WH>oFzSI6vc9`tD{fV{73!-^L-TFDjoz+5Hz1oHq9J4js0+#=pg>MC-
z21-}a=-ckc#9$i{(A1v1#U>Uoq+77qI67q%R^S~^N~>Vtq#Nw(EC0RIH2ueX{-3Pb
zJS7f?UL9YzmSLBTsKl<_Z^usZmjSiqy#L*jIA6-1y~Q3NI!QN>-pSp<5#y))z@7%E
zHjkmbY`m>zO2NtBjSf$BQMBtfw}3q76OL-F#`VHwOAO_Ld^w|90p;(I&jhmyB66kiLxlz4J9jz2HM3}H0%GZE22UHPM1(0L@#x|1_nL)*yxi>4!3*y{L`
zx<7W*$}B4k)URyk%~t-O@^;B3g5R${)72eG)dU>nGwV^1C>f_O#902E+1jLWX{lj@R
z*=6#Sw{~CAp=G=`$C8kenKpJw{V_8(6pGEiK2*V%hpRL@>;5nRdtg-UQ8v}+fFVc}
zg5HfdVl;t9mii(<=nhFfO^9>#4!&4NL{bzUWgvtF|!jGSJ+8Iuu
z5~s3omiWpb9tNhI8-j3wmO<2Du@+9;bK-lhrDcFv#g3I&Se)alcf?Poj?mf9>R(06
z0JL+ILj14ycvopR8~*62ytK5mre>Az)n#~iI2SQy-tC`rm?$VhlH-+mwF-LlXkpZ{
zb$IEgq!e88`LVp6h)y3BVobo}%8#DVWG%)Hs;~E)?c-B8=}$Ubu>WOd*3?k(SP-QW
zGta9hNN%nsMFM|+d%wM>$Hmo^Hg0{UPFq$MBky+J?Kf@x{gKB`JM+y8En$suxy8ll
z+*WEnKEiveI}5F-SfsV?d#2x>^-cbQ3p%!7n`dQsZVc!mAt1D#v-;~;x1-8oVMik^
z2E~4IcuSLg(&NjT^Iko(BB%B)dU3Sz!jy$39{Vke;-A^33}WWX9wDTv7T0RR+xzr%
zbi6+2yojcm8PYFUubAIDj%9EdHlaDZS~}TV?vhcX(bLoWVR>8R25;>R6cJ2`R}yB(
zk}HDx=Y-rk7NP_K(qXL)&fcXxMX<>;WG
zpwQ6J>gwvWv>E@qxVLWK&WQ7|H8C+c+MK?Jg{2@TcX58==%A8j7rD8(FfcGo
zd(#RF3NZAP;4?mg?`C9V^ri`U?k&mb>gv9D@xsXHYe@;45#HEJ|JNM3WK(l!v?`k3CU)REr`a@|9}Jvtj?|jV9))d+zVB
zAN*O?*0=uI?psT^YuH?Y3yOUPrLVs5OGesNuXbvr9p*14m3omR6B2hE&xPcInTD
zz`(%aeD(PFc%vNgv!ksK9VdxH!^7?#9=cTy)a>k$-G*Pje7Q%!H1@;(Yk2s5m5JV*
zyu6O#;o<4&y83$38ZK#ARC#$}-^<$S>eKdUTC<*%yJ1QSpR=-Fuu!>vTRnlvaI`VG
zys;rCzckU;_exDIE-A_5?9fI)K;ZfF#_1YYg;ak0`jR(pH)VBnrh;*4H)k7Whlc#?
zR9;^{Qd3heknPc5B_lqDglKDOj!#Z9($PJuyV2(^-JqJ)&`T@Ke4!S=yeC{7bn+uN
zSlTPM_RFb-HB{pW5^-^MU~@1_QiD8drNH7Bd-D7JQ+fWL)S}V9456Q~#LRQYk!fn4
zc>JmNTd`5lGA1kSw6(Mh1JKdYtE#GMYinPLh}<9!b6M<&74kg9BP4XJj|&cNhl^BE
zRn^ua=iqSYh@o$adjI~P75(Apd}?lP=gp}qsInBMTIaP9qtnwa>fJytU)dKqEQlgOIgECe1Q^<1^vkFZTZG(6EN&cxvF1
zPONQhWdwguyXw*0X>WI3jvXjcS7vI>B+dr#nqZ;K`FO)zw;Za@`XX9zWmSs54n!bvn(K
zOYTV(7#+dinyE{Uih4jy%x~O=eJEo)QBE%)kbE-K+}u1oj9D5
z-@g?_V|{&Zw*QEVh=`DprAJaq9)5dz!079kF?^ax$Jhb?+!6|tM8i~%N`I=Helnn%
zPK%b27~PT}KWt-h02rvn@2-({BHrqGn7)L#g!jtlSH0fo4pAxVGou3^3#JrOtQ)kS
zfo9^5-OV$CQ6Qr(*s;w+6?004lmTzU8k#^`{>p0U(`I^tjf=~5_rOa0Uw@|
zgX3dZSZqv;za9JInT7&5LauMNP2phG*Vh*p+dU1Jx&3E3ZrkYZ+LiH%iELfw^8||I
z&`44ZtuI%7ze=qMJfmYPov%#%L4LTLn?W_sYT}zlJSBUG1#tCQ@8as}_`s|BpFe+=
zmU7&^d-q$GE&~HY$Jp30bO>hVpPikI^z`&pRQnr~l^q=&aRfCk8^mD}*Zb{9LJi-~={xY0mE
zOPfO}8D74hmz|v*7Z(So_48+a8yg$wtU5Y6ii$Yy?GqDPoSbEE-=YL{qVy3xL|_@d
z%FZk({rn9ta>?j7+iriT3Q3pGS-7vBNmpNHPT|rb;mm*`Kyp$}vBieTt2Q?_CFhq|
z1y5nNyfx>VfL^KX@g0HKIXzfAJUo1*Sf{9_Hj={Us3Bn-6B`Sy-n2U@D=VuxC24MN
zx!1tJV6<2d>)t)e;`xn@I)}v$i@|Ks=0l~X7)%TpDS9<7%n0%8E;v2i)@BYNMj!JOn_HFz=(q9_3LTvN?U_HMwqHFaL#vH$zWDZmRsPCRIze!aM044
zt@LHQ0+eE1ttnxA2jii>nOUXfFayjO0>Te>??PYRIXui(%GJQFelz#`#}D3@pp}nO
z*Z%VCV3Q7H=)l0XV)x#HirzZFM5B07VH7#D=;QG?waab&ifZIa%34O|aDy`Rwu!^N
z1~yW6
zo=3KD!TkLEP3;_uNTgbU#txi)xC|j7!N?jvznkL59>u%6yF)`NhQWDxf0MYaG+1ik
zN};+rN%wYl`T6(?wZ5YhQ}^A6GvIl7&gb$cARyp7*8+Ed7^0-)rL64G(2y|!`rW&?
z@7xg+zjOXxNm*I5<#Rl%URrAE#^1jk98dhP2m1SW_V;DwPDVy%VPSE&
z20ckaQj$#2t*^N`p#Synk&(kOgwd<~Izskja=)}R(&S&{0xs)6JPz_QGm+3qzJLFo
zq4>`RE)h|1?D}+#x{6B7g_hqPOmr-)(c$6l-d;iig8OJ_Z-dy5Z}*#*LybbOd2o*&
zuLGt6-+DE#1F|h4;h~I7C*VEoPJkz#e}3NB{UL_(tmf|a-fNM~zRHMCC7;O4`anwm
zBs#E;ikX{F*H?B^d-~FFP%1=@_PgEe<`2GUd&j>BRp1cY`HalWm}qF^aZEZt`e3Mw
zi)U6;#A&+0oOIEK$rvT<@!_7I!^8WRy|7#kZ?NEhbj
z=04b(^&KlQfVn6W#}pYKZzrh=^H|7joBYX>C(O)+KYskk$Pm>4VyUL~{JGI@|GUs4
z3R|RkTiY<+;}a7RL4}~-yXRPXTUU1m#wY9xvu0`2@89$5<7FG2OMQ`+)(4!H?fL4(
z4h{|p3e?opVWFWD)%HbXD1{z}>qLC_-ol&5#i_MEm9M77v|DrjB5I|yZa4;VqA3i=l8U;H$J2iC{!l<<;f!%1nDL9pD=i~zxSxJ;sG%tTn
zOkCXI!2vf1M>VjEq1@y1&(ND;=rlbjP}kSent&c1OznMk2&-n|sM3|hEh8%%>dyWc
z56@}2C)MBI-)^@4U~Lp2uMM2f>T2em)c&C%JOYA4K)vwesVN-^YOIHB&)^9InNkD<
z1eTVT8$~TKF?ayAVMnmYgkkOPqM^Z-n_F0P!@=!I;S&=R3vGsRNG9SVt7CtkeSLLu&z=Fh^*KM@0j&8-Ny%{VH@vt1l#@?(j>g)U
zn)y27h}qlQQ&3PyNlC#h=OUKV(eZ-9Yq&T}4i3I+k0`ooUpe+f6-pWUdD+>OqaSc;
zG<4AV?fGK4Ptrd>i`SvWHQ6=2y>S!ve8uT>zBwd#(a_Lvw!zn~_0ZePE8(uVcJ+2y
zY3b?q+)aCCR#sMP*lcQs*okak8v}!PHpVayn{KBGdw*np1zpyS{>hW~a-%3dK9_~s
zl_R60j`f_tDqs|?`}V{7GBYtLDJlKfZD-LcN1Lqw_)!}AzW~nxj4LR#INgmQOXD*8
zL$zXEIUOrF7DB$gnmuwx=H>uQ+hd>4FSJICwX}v3?S*hjr+Sb_niv~*r3%E$VJkm-
zrazpg+U5OI_h5Tlze*DeE5aqEk&Bxd9Xo!#amQ<{MB-iA+zQ?e9kn>&f27+A2DqV_{^Rtgz9B<~OcVUsS}h_w9%8mGGe@
zyt!n(0E}JUpom`s1Et>D(AuaaTPtiPN1AO+b9@}PrfXVvlRGiw$H&IXhccahO>P}~
zUS*k}{+?AhN98m5S-c6Lq$vj$IMmZbuy@$cRYZK+AxmSXphTtUS2XoeVu9DJ7-LG%=c1
zp(lwuq;Y2qN)e79{J@a&_5-mX>8#V^<4_{bmYJD)Xd0AcR>17-3sC*y;|V_;1+i&q
zX#py-(aPe?Ls&VDrq$Hc*o~FkVB}(FzkC1w=4dgQ`eneEFHc-d(qdx7)0UQK!J%mZ
z9xE9}eDLR&Uz}-#7#cSZk8YiZDxj3f$r@!>8fIoWNy*lckvKs&%;@;|N)QliY&J48
zsWvxno}ifSEk0Q=yb`_ty1{4q=g&Xzfspyv)HpgmA}oxA&ml898n?6EHt3(5H({_v
zJm&koH1;!z7}x=@s+Ojvl7{>SfIcux^YZe-Yj;{&Bpy9VCgL;&=v?kZxd){TM;Z=u
z*KgqPa9}S13&ELTt_uOSMfB*AtFH1a(T0n@{^z8m33y{GOUp5)!@tA%^vc=LuYlg#
zUwFTel+4M=G5TfhK&EkD>gCJFB0edP|JnR=B7vo-t1Ap>Dc~MqR6~_4)CVDp&MQ^b
zgPomsd%h?hcxWAO^|W+!9v^zzSy;5Yv005UnYx-UvAQPn)C1*UR4;nt!}0@|%!?2L
z=(_AZ-cN0(f|v)hadDu}tP4I@RxTSB-jkD)gT5pHwM~094}<#t{riP1E=ygB0Qrpu
zgGxld_FtYXlTlJq@{}o8LMsg+nlscW(Z6x#SvVymvgE;iIpx{I@ubXYRms=a_kL@V
zeOpHdI^%ea>sIj~oih({ScUC0zoeuj(+zQ%y!?E?K{M`rB(UzS5oEnf4+5Bkgsyi8
zNR`eMrh}PO0jEmD{K7(+!=iKxD~^P^di=RJ$U{q+Qqg0xob%#+
z=eTsf*DLbamXC|8obp`+Y?GtoUI-y;MKuym^HOhmZ$cj}3yZv-UV8MHt+BB&ZFj;5
z(Z*r_SIO?KE-iG<$k(-Q_ApYQe@%H?RoYJfmR?_9Z}aQtHM6h??*5^ot4m5uJTcj8
z8uIZYNGYVkUTy8aV`F1O2$=a{)a%?vK><0_;}(0O6!BwC^Hg#G)C%cPezUTe*N1K2CU_W^9d+ztn&W?JK4hV!i
z?Cf*rm%jjIOyWIRFLF5>%2i&^k6dhPf_clVUGe6qP{?B+jZw44#pVNxr<+@w$kP+^f(Sk0kv@!ZT03TlI1s{K0B
zJ^6*G=o~B#0KuZ-;vA)1=$|l!D=I3+av!G3o0Z7`L_(I4!6XF0D=97x&|q|E2pmPA
z8k0j7H-_&eCEJG^lR)2F2)_24GpZH*896BX__5=M{X)ra;H|*o
z1U>e@O=l$D0IGY*YJCHMp7lGmy;@*8IMGr-c^DWO^YimVf`UHzacF94!fX6|!V3%9
z)6)|f83{d)i@30=>I5#v*47reDb^ZJV&ur~b$)DbUG%sG|KR=YdjP+Mea?&v@1v)-Y`$J3BqTtn2L=a~m6Sj=5$!1jDcyd)DNi*&!TWi6d3iXA
z009X}DqzZlgq69uok_cfNJ=?CiH?=i;U7O5CLTYRlw3YP*#lYz^FLE57YHz@R2AR9
zQ_lz)iuC0cf^vuWya%5g4-b$3hh_o(3p51T<5uU?oo*0XIrk7C6%`h4)Oj8OdMPa}
z)rHP*x^LlN{*a>Fc}>mXezxw>%#CBIXCqYGolo?-np#_N3BMH;nWhAD03m)8WfL!0
zbP3pq1Z{n-u#rQw92NYG%hT|AU44?QFDDe#W>v35*RIRi}8rZ+MNC!
z9p6nvL4mbQJGW%$!*|TEBP(59U2$>O<)L;AfO{fdhv?o*3V%S1qwc6mIci3Pw5J>M
zLL%O$Tqg}z7e}+HJM8`DTnY-kaStK^cC9Si#_$XD+d<7$*+Qq))6f_jh|{b0qNk>A
z-d$MH|DwkbE1gF1Qb*?;&I$8|teYFJ`yB$HE!o*LMP8-Ijmu(?3U|LHW<38;
z+EtJeA1_Htn^jP7{&$!$?on}WuEF5D_l@EW7$YMiOq?M`Pql*J)U)W-%YN-|v+03J
zfCxan|9EVGuwpvcr)tc0baXVj(G1Q8(=0jXyXuS#1DV*tNb!a-St&FS^gN5a$UweB
zc)mc|d8pG!F3&$51q_uXIRER{ucmG4#&3#WHF}KtOzav8w@4mb{3fG1z5U0`50iCZ
zXsBr^9>@tR4}}RZC+Naj(;W8v&+fz>jVFvU7wguQg3PkFN7>T~8o#P)Dz_B@A~QQX
z(97k8gzz-dc>RH2YU(r$OKoW+!mt?~0KB2pwdkYt$p2GL4lPfY4|GpOMa8jpY+N$3
zS&$E5xP8DNdXEhp%+ggD$3dbuE_+}_a4N5*Xw<|L*oS>V1V(_Ey{qdi!U%PAR>j@@
z1d0k&9W7~b51>aNLSHt8DVYht=Bri0A%?TYo}8QlfCL8zXR2df7P+x;0gG)I922AB
zoZ+n;af0y5T&JtKKxJ)us}5TFKPg@j?kKn7QNow+|=m%B=zjs9~fyMGtiExl|81Z
z@V)Y3vMR{SvjqRAsu73N^3BdX$cdx(>vy2J>(qI~F0!92r~CFKa(>Y1>Fj)jja}k#
zV7VJaiXKpU{mV|OKpIC3XkL%ori=KJ%3x7FdGdgOpk)`6gN}g#dP#!dv_UJ(Yy)a!
zV!{M!jS;9W;_DUzo*PqD0BDk#7pD@zVgi7)z(PK_Hd30ZZq
zW!j7aGzefUd>;;rMnw|h;gx9Wiiyp`N-&wFQq5`!0xUXnXN-!D2EZ=E)IU0E#`)q&
zB=DL1_-rU%4JlAnI%RCILs*$PE!m-)8HVkcJ`Mq
z|I`$dlav2hTbumLq{70&Vm)tL2tdJT_7o9HXa|BY)CzN2O+M7!OG2t3IX6B8JobRwXMuX`g?ksrN*l(#r
zKXh@RfNK5L*6(!-*y8NbRoHR~Y&X_A*0#13gcZ%XZ-Hq3>u|9kmEZYqTO?&LHH;u=
z>!xMsd|3DR5Hd2?mvJycLFuYVdn63(hr9oR|eY7`Nc&%%j=EaV7+{~1ee$z}@{pJ8;5D0{b$=9LW
zFJHexs}*O0uN9S*7mTM(I^!&?tQ_slpg0gAGx&^ZB}BTSnT3U6&J0~WJxe1L6jW4r
z4#TUz4rI^M>7!~Ym8ALHX)
z*G3APqT1SCG7&jGdxkQi*fukh*2wYzeuDrH&wAFgvaHM~T~kLvp%~PbE4~j)a|Ve%
z0YP5thz6;_u#H2g0mNe#8X6h^!b{uR!mgW-U1tg1!#9MzPv4kyB9-6wBp23NfvuP#
z;2IuX@j_V{w}x^T2J`v3*AEsH6v)9ieFq7{YP1MP2Fyb_QivUXc||vNk=4@DlKj-J
zf>`ZmX}pm4=@8%z=zccSs^|e?Y2wk{Q)4O&_>*<-Zlbd2{P@)9JNh?e9E}20r1kTN
z6e|2=b_3W?o9daCrB(~a8i{Hi^HwA|$*)4ob&uC2%OCEO{9Zc1#>dCJdzXS%dl4Ow
zEs%9=84&8GrldN&2(yp9WU0<6ls`1;9j
znisI4Mx5gD-k-kY=H8Y0_L!73{QELe=a03ISG$D{-_T#}(~N+JFS(^ppx5N)%t{
zM3ma+Pt#!eTMw$J;nK+JC(2b!xBU{ey@-jf9JC}a{Q%mE<-see3Wu>@eP6T5Z(XnO
zIm7$+?@O#0;u>!~R4dX6evNdDGSP*-t!Ol4W6SkH8(dlHu9~v^{K6{t^%hdk8A7fY;A3woS1-v3moSTDymWZXKYw0`HSZ_we=vf)&PtPDw%W
zu4XtZKmQEI0d!eV%^f*P_6KtmBqStWNAtCfjU_}km&6DG?S#p4kMB8Yk6+lp@B6gi
zEbw4zC4w4xHsdK{krNEw!85OpITJRX@M1W1W)+iwyT?r19fuL4n?Vn04_cbjcR@8Y
zpeCusAKI8u*_)rAhw)^(mvs}xNl5tHKil_yms&{6$dpwve2R}x2PC%B@&_gX?t=#<
zw^AO0WeM7iQRNDb7=TK^8@zA+yal+tzdA_Bti@$FBX}s}5a936V>`7nKmVHvVrSPT
znEm`McY}3PfdDZJ<*57er}a53%O_H;oKl5=McB
zfw3_a&$EaS`82^`>RVNg%lGYfona9{n+C61U0t2?9^h>7Yz{zSp10uV(fBGidLopm
z_*Zc3D8JDCJM2bQW@cON=Lu99<%w{rS%3iYAcf{~FA%7z4nyaFc2-2y8bkc^2KRZ8vawI#gMh=@V1iP}7sm}L`l#xQAex#=S`%-JzBgxP`
zmmR(b$Iky1K->M=_@}ZXY5$1q4DD_>QN}+9H$kkIIon^w<@q522H}Ob-7c@Af`Y=K
z$U7is5u`#%oM!i3)`D|E5`*DGPW}u$c;FY18j&-6p{+gHaCMo?+cneJxKP}1`CBcw
zu<+pMh&HY(g%7v0e3lz@iAnn}z0AnUl!OE{Ngn`3#@J%e*A4mDU0M}$Rls#MYzL0n
zUbhBZ@#6d(Jnx{RFd!R%6$l?c?pj|UAtI8}u>$S4uIPH*H`ZKqWXnnj5rgvyXzUDdObLz5-vk)uf-SO~O
zrQETSqzY2`x{JTnj|^s0U62!GT;|w>M`p*{bE!MZ@?ZN)a5+H-X3~DO^@N6IWF$>^
zjCQ!WF8CMgm(prA-*=QG8O6o5iK2ca;X
zr3yo=1^`ib3}lD7d3urwxP)Gmkb_ME!nhxZgnSPEDaGM##7Mv!;H54s3=Vju13&7F
zW2Ov$1&nF?@DSi41&hnowhIf}a4IBwaSgWTK2`42X=JMgg2Z^ujGQS%eb5$(u
z$ha<*K^A$$@3a!fto@^Yaev>bAcCKVo@o$-5kVm#VB`|Dek7!%kc4qwXu(7eP}0VXI3vV=Mm0j~}%FPiblb_q74B1VH-n
zUpObgDXX{{-$<66ys$zw^v5}SLaw$W*;9F^`uIa~O~V0bq0on$CKW+}C%K~c-I>2V
z!k3?=Ts-q-Azek`p%A8zu$0BPlRus@sU7aW*^iQfJ-oAfn;^3+ynCh^aM~Dtyhuy01Y%I(4Ic6
zgjfg88MDzI3q1pai_-3pnt?ke0{3$d&66h_rdFgDDnQ)Gm7D@aD}!4&%0|
zD#xlCO$XEiAZ8Wi+o0}1zb^?b0oBWJU*ozjv2U_@9$MdTy|@2UB9~MDCfj6WX%eqj
zXiXRvLC(^x3hDgl=Z+-cbe5J9^En_vlPgIKe(&e!Dfa44h;|sMQ1!H5V4pAQO_(Kn
zJ3BbEjMi(tl7v@N=d%21pAu?fS?TD$6&EY4XK8@02Aa@{+KBC#{~8(v(=X{_W!UJP
z!O8u6e{ZERNh}m~s%-CP5Nkf~Wy?AqI=a5C=juLHv7I?rg^QF=awFP^wVr^U&9~n<
z^QD}lWPyS*Qzfl+MfJZ74g}Ym=(#zuD5&UX6m&vg=)aK4X!h4Tzzo~7#wxkHat%3)
zw%5lwnHHYayaqnfxJCvT9;iRWvFg1}ICyz^VbLLaB$#&&$R3Qb_O>>C_dyM~(FOo;
z6Z=mXpCErIXUiH0GPAI>EIre#w0-S*fEgJbP1#eDke1dn)mvm>Y56g0`I^u7;>1|Y
zPW=^XjiFbDAskFZ_s~&M#P>3#=Br&>?&I-Uu~`uNp<5$Vy3+2+KhF|V}BX3wlsJUi+?2~ErP@!_9~V{OP#25$xSqX
z0I3LprZs=lv8xbfSN$y?<|%%AakLlW;^p+*!~tULY;0oY(7CK2aLg?p|t>!72aS(
z8(}ipd%wpjO5ik;fAeM=3;~2+Ls3yrS68T;(9hU>fdYTQoCixlqmY!X{r&7hLaA=n
zjvO~^dhKFDO!R2TTyECfzqKC1uln#c7M;ME-qCnu+5js>uke&ya*w-jb)M-&R_1vLs*8Lkdw
zX|M@_zyYUY`jL~1OUqLI(CBEZR>{oq!sN&nIS(oiEq7mjuh6qfxc4xufhx;P*@8=I
z$LFKN6{IbD1kfm``t|lF*ij|K16R|h*NpER7TZ}*c%ITA1Wz_1JZX*idI)r8``nQ4
zw;q-;x7#_=p#=vYUf*>yeNFmg&go(7wy-m4-b|H0+TXXHO#_(+yr!m>7Gbw-lr`>;
z7fKJhVcymVqM@Pb>$Vyi#S<`T^u2!Sh9joIKm6$v_NK0#qeC~F%>-9LUrS52cg?SZ
zb`D-iQpU8%$Y1RrU+c`Jl$4k6@9hBs12PX`0cc8SJHt?Q;Ip`ddRg3cC!SU-9&vMX
zgFyiPQio|G02@d9b)|UjYbS7ZZ4EaadLv*|N8P(Hd>7^o4nYaTNmo->7jfHuyEhC7
z8PQcgc4u-9jxA6aAlk^E{GLd>RUs;p+;{J8>{vkOAuMh=*xxUSqW~jwZy1p-*0)Kv
z3D4$HH8nC?fcLDbk%9h+e0EapyaxSXAiVJ8p(gH*auM~
zJ^e)nt58=sREKBx;J(Srnfl(V{|!(_Xg<80=N5aZ>W;lYA1i(F>F8uI-ogJ9+#P%I
z^4$YbQJ+1cQ#6VzT11mlL8C#-
z0O`@N>~6UQjdc+xH#c>7ilwb>OQ~~7Yb+6g%f>_iJ(Bk-|s%jk6$+hLA
z#{dg{OT*ySzIt7d2lDBfh2Br#5$p}3fB+!&2PSgUZ5Xh?Biagu2SB23{z3~Y4x;e-
z=mTtQFgJZ<_UQ8S@>sMh3ZC-(kDDur`&ig3q4AZeg~ck^TR$d`^_}M-7h^yy1I-PS
z5Xc*3uSmwp7-Flzcs@RM^Y6P3pr!CNo>U`SKFaB47K!($Eg_NOJ^h`9VKqN~ym8}&
z?fK6AoQHfwkO%c}*7vI0y*>vR3^wX_`%Z|umh^Cdki^5yZDZAu48e?8Ms>r0uM%Ne
zCHlV=6?QCuEVNCF_+~p|^_j5D_+)aqV=gERx>0@|=9JL#|5p}Z
zgnhPy$w|oj9tB?NcHB<+%39_7F9T$H63*0dlaKT0{IK)#a*aYgPjO<}+g_kqSkW2D
z5j>h@uyUh|F>%D46?W0%wGzWBfVBEsJ+wGFby3lG7tHpdU}DCFlz;w=BD3&*jw&hPanI>
zv&md|-r8EoYY`FmU4L!mKq+ZyL+{7+zE{`QqFV7LxS!Xc*}<#6tcSloVB?^SvG5AGm;t3LER|
zC0MDL4kRwMllRpDQR<^w0{q{cuHl>g4F=fwIZa+}E{+Vy@uH9OC!@fNv7M1&NC*8>)8%rI-EYB0b{{_pUa`
zT36^fT{1h?LUqm>SmaB_ggcDO5W{JdgkGJD8m*DO=~l=5Z5yY-HXKnmJxo;rV4O3+
zAt|{e%vUR%7yR9!Z((stLuOTgjl4-&W@-bt=V-ph<{D0N}z(F#_+}3uc#NauM6V#)*u0&4cDdb)gz{UHB
z&lnUerja(gHC3goth@(?7+MCsLU|o2-1tS;)b!O&EPn+&ai@rZEwHYmIg*ix{zm_hFH$vXo2R!
z`ufygQ8)NpAYEh2K;vl%B^rEQUt3gEgj5(DAFmp|WmwPFU#JTlp`17#)+C6iY}PyYAHF_-$?iRl%@*avU*Z=>PXmn$C6py#al<
zTgpLlL=9pCGBPr_GN4H!Zr#EFy)R9`)fQq6aFoHV28N?yTauTDUUMTTY?$^szS{
z3Yr8T-xbXRLL3}TgyD-y^=rRqq(JjIQ-)G5%u0AL?G>7un1IS*Gxa0VULIoY<@&$=
z;fW4%6ocg1Qp?H$m4a-}2z^Fl6$N?UutyblN!$ZEfY{
znVsf-2iPyPK=7@!)}!FtH(syf62L}r8?h9uti7NPHF|vzD!lF{?R|aNlRnR%`{m}Y
zLM}n`eokId(KXTh;P68X^vXx8?dG&V!x6IR7$9{+pPw%gVw6!gXPb2T0I+)C)8a#_bQ*v7O(%SvfQp7zB^D{l+hN8YChiOjjD}3rQ0X
z(67zS-Q3;5aVyXqR5JYpdanWDoC82!-ISBkNJPh&MoW0fO1$!S~JuNZa>{iWYQW
zZM3op+q;W0ySpHMgMJPXvBGeS4Kx^+phAF%Rd7uxU}b<^SCp0AyMG_-0?vh>R<^d6
z+jD-Em6ebx`S=l?F9NC*P6jAb$L&5|v$gJ=9{c8y&Dwq2U0W*%g#v81Kveg;Wo&l#
z606(h4Swzax&JlT4R=tuZ^bF`-34mGJ{;Z
zV|!Y^#6|cUG?AJ9V}Y}B;TswUa6_AsB*yg()uTOnSFU}7$GYl9Y}7o*)PP6f8gOg;
zAsA=5M;I7k2XcQ?O+4tJpwKo|%L?%GLk=qCWPh&l10=Pf?jVZS{h&nKKQt$SY@W&kR|@7bM49Xr9FrX`G83rb{%NUwo{=6
zqUzx6+#KkZ0^wJaH7FWf-G?3vhhb&K{4ggLjtl@v
zg)~8^S_M|inCd^z99&%?bwoXrV`FVSRcaDaQ*#DEAWRGl_@!?ufW&OUodrY!Vx_>=
zXZ|;To;f*j#Z8j~38kV!R?hk)13iPAI|9V6BdE~##l>$ygsHI5dwmQMzSR!sNW|y-
zW!gK4ms!ECK!HNU8ETr0O&=vp;tZ-$OzfY|+#tx*85tQ3eyy*9_k=KpMtmcH4fqyV
zjF3x$q&vup
zc^HX+%b%a`U_q}V(coVi7*OnJ&xYlW`~CwU-UAdB7wmeEgN~m+pMh!*_d&FMq5vKT
zD6zf09W2YHL(yl?K1b8c5^)&6)X+$XjKry$2EWJ|P>rMGbF`i9?d`q2O8&Vd!0+zc
z>%BV*oyS^y{QUCCJaP~%gd08JV?Zj6h9+>T1Cvzn7-(F>Iv{dEli9poVec$*t~j;>
zrR%?E)5lwQB|FpF*jVP#A8Hi8<$JDUxZ%{XwxYIl3xvJy{FF=jv#U2$OT5`Jl_I8z
zI>x(`!;RYFr{@Vf`d1Z;n@`_A-L%i?Uxh!o(h*!cr7r#uwETUhqpjK2z~2>~)#lf#
zyvzw~XUSUnU0j+Je&>&F(R*;_0eG0~8xcaB78@I24*BdixWi`7xFZuhxzgIb#-D{T
zk4b157>M!kxGV;!)}tUkJO}3dI_pAL*4mdYxnt07xLm$HzdM^4MKvZ2zqX>p17$9bjodZP6b-nadAK
z4j};nXSix0VmBK=ElJ8sx^sh-m4bqzy{+w?A#`LF9$WLkH~Mn%A*@;l2Zx8fo-m$=
z79gy7{1gVddhQ!HOo7fd^&uVr8k;vqK>-1vU2q!}HUw$|j52^R78WYRLLKtU3TY0J
z7g$o*8`-15-d-?!icd;XyrNMoA}UqueFRzf!WGKZ_GHf&nEHU)%q!vKq~u1|!1QAF
zE%lq*hu9{W9fsNt40jFruGm_qf7E3(K!o1=YObB!Ow5%IGsvYMnWnyB@4tl_egoT{
zx4%?4*f{ig?cv^S?~f@$lPHN2&-_$1Z~m>&CAz6Pvj^1XyEmWIpF_&Xw2ts0a72TV
zY9CsA)n41CSZWFse!+Rg=>{R_;`0s<~>Q~8K=;b3rR;wI{VM1Wh$
zPF9-^w^&=bfW-}C^yX%KsG~SoSklwz2Nz)i3r{V4BNy86e4XNKW}&IdGS&I`vz8E!
zU_0N+FVN)!9s`UwFv6M813>5X*6jLB1LRs5-wkeZ>4;Yy9UVcTJMha_s-ry@Qi1Dc
z>iij)hH@KJJymzLVgdFUbUT7uRUmA@5#W<`Dq-3K3kaGzUsN&yuoQsyL(OY^4x0no
z9LTaImQk+2kW`eDd)mySJR`IQcs~vzs7f)h-&?D8-(ZQ}OcIC44bdcehU(A-D*cS}
zX3nw%2lf-9$a(hHMDt_$D<=81KO-+N`i@RNKi=5g0?5{lwmLdoziim6&4_j3gnN53
zTVB@b8(0fyamT-uF{LbdbQH_8W@%%!f>VFKNHK)13K1IWjCVKbs66h{J1Wxm@WHo*
z;Th1klmuboR%y{i54jw(ffvTl!sEQ6@cVY78NedIph391k>OA8jQPNT#C`|Q>Y=lX
z3uN96_?N5N%)d@;{e8Q
z&@RkA^Vv13e{&P+eP|2h_K@R00A6
zEqgZ~0A>dTn1Z}~ojLQoDsBacxjQWnBW%p?ZpZwBaseF>KnX*TgPSmfVq#`S#9aiF
zB_4M6)`o_2822*i2M^c<1%JWVJAy$%T)Y}qLiA41AVq-bN5figC^n(!weHmpgjqS%
zV^G*a+_O|SP9I&L9D=GDVr>cn^(Lak4m1EzaX~V4SUz3WzG3kD;$#RYSd**fLy0^{
zlIotd?Y93*%PLkl^>8k<(ylFtkDXAtvivvYTZRwUMIClw^7WXM-gBwab@(MB;oWDl
z`xYx;A%XP8BbH7HYX2)%gIoD>2FPF7q0KCZ{1#n%LMZE-xR$!-q<0%h&TKq*u62FJHdA
zrThtM7wCE>|NMb2ugiV-LxvIJ!8Q~p(2Mo1-5`bu96Y&}*4BYyYl;MGu}hZ%q1yHH
z_s0RA5$EiONlCpuE5Phx5xCV*$>`OJRws$NMZeCFeM|e;)MJJT1R=l_DS`|D
zU2)8I{9``}d5$)y6M%hF3p*8VXXLiQ%)-J!1F5pjNW~V2CO}QVj&+*^B;vk|Oeg$Y
z!-=h?W;Hh1QxHf|P)g$1TxXSUuCK1f0+bK?0_t^8Vm~sD1As0UmMRoP>t`RVeYh9J
zcm7Kmh`kQ?7xH0w0z<`l;6pXUy*PdgNb7kz#T>%IyVtxo%+S@le}bVoPJp-@=>8o#
z2tu*dZ_sM^>`wSY_M0fYpi!~e(axGWsf=v4FuM(gT
zQfu8Qy5=c?C^XsIZ_FQl?kUP7;*sreGa}&2x)QIYVBD+-(l`I$q%M}=>iGE|0=GFh
z<{>`AZh=Rdoeg?`VgR$@_L3jBe1-eNbk>VSDNz`{H^(TsYvmCD1u&*4d$yL^X}+<#
zdXa#@4)|ce?y+C3W5UD30~RRo)0{yk0I*Xk8-Rk)4_brV5{Yb3>$)*Vc)T;vGE^ZpTJsAiHf@E3#1~;pP8zV+@+=MHs#}_0{}{d
zK1B@59#PRD^TP77GEm;bpdTqK8-2p5P97N-=RVaE4lAXoNT70Ld1ginssU(5N-cY5
zsLvVzwgFJ{I6#++u9bkQ09p+LG`nA!J=A_EdUA3X$bvvufqLD|ZRg9EFM0Zv*DeKk
z!P7HoLi2iqV67}~!=1($ME9ww&^Z9pbV?o4@q6efK&5iq=Zy9pkByOPPq*-@Pf#Z^
znKT2=O28m-OY-U7{yuIMgK!IW_wJ%3lQ=ie4hD0Ze%uzp|up#Ka;QY
zpzE`?=y=FlCb9&mhkAAv#(if?-*YfTh6^rn7DJ#0kX&mQdhDP*)7Nqu>G5KaVCGm
z&k{G7a*SQ(e_k3nqtZ)zOK*SQrzxT>Ek>k-%jk)IeTCGX))3~oPZMj}HTS1&iOP!v
zou4>9rtEsweDU9RzM1Nkvs8U@kS@2km{`?6<0FMUU1RWi`9ynbUI^&t*=ZmcfDZr>
z3CRe~_)%ySqCT)ZlXjq@rNDh=%Wg1Ah2=K0=!CHdxo+qK54)CXd=ppy?ccE{4J
zlVZL)$tvm=&G?^?bVpiTcyqp=w@sPq&X4Byq=3;!U(83F$EzWG?iGZ
z#*0;#?fPuqF_R{Xoa*atX7EW&NU%PH8NKSAj9m~Vys!c%nR-av(~0NV7#WR#*?{q!
z|CPHSrY&;nC((tELFR2O;_x&Nz2sy2GWFZPP?=ol(kpX4DX6Vm@u+z`xzAV+XRo=j8Nt
z0|OmXWZ5qDso^>t^Tc#tR`Ko=|rke>qTtih4z~jsvkZ^_$wz?M@CI9&C%2A)H>FS^zC#7
zzrS*Ks~3bc0AC?|_7On$t$+u6Dlfc#;wkhv;g^g90(iAx>SO)sh+!a}`!bD+Y-dM)4z@g+uR?Bs(R
zQ{Yf_?ai1w45ErlfUETe8kk^3yaT(&+;8~nR7;YhuXg?61
zK9z?Ly>K54tD7hcy(X%#-!CwH*37x)fpc=qqcd47$0kFsh|`=Rkw|v}7|-fKSceuD
zIBDH4;WIDS$DGQJP?p&9MJeMlaDS}u86EaVkW4-d#?kWb9gh{OOu>szdFt6
zKjvQF6#r|k_5c0vPoydSdD~NW%?5ln(f4`>Wqmz7%38(a2Ff8%59{Av(!C>fB786X
z-&VpJZy}cC5h@?|zt_h9>}rCIXK+2S{=um}rmwkO@X_LyW5~0oON1x4Po@o?**|)6%G&nf|8y4I*wA-6&C+S}%gU*$^=Qd*kh
zM-cOIF%+~C^r)nY%W?m9JXJvuFi3I+Q2)Am1%H*-l^z|$m`ada*CxDrU|Y*=SooM|
zE-_|9XUt~Lc5c2C8Rz0YKlVVBUY{`DFR8vykvq7%^)4%f<`=t~
z1S5OySWBF$#UHeI4C*q}BZrF%bcKc+R?HU;XcvyB~n)0yUxs+QFNvvPdT>w
zRls4DIDxlNtx@&$@>;jj7W0q=_~$=J=fk%Al29twTE~`{1aENg|615
zC7n0o4p`gVgSQX5st(tEB%Y`Ga7R4IZCIB6pQZ38jt{nfAA)dwhagWoM{c6N*<_hk
z-&+#h+nq4WIAIBl4deDh&U0
zlVnZ}J>kb>M5?@v@gGtr92@wc`TIp>C7F8w?=@;Y{{XIZ1E944?&9ajKtjuS
z`h+lPB;(czE9(And{P8MN~F$>EG*KwYWV3Rp)XFJg#XzQ4j=pSmrlBMO)xfwxDS|?
zv>NoxITl0JKzZcedtYm@!k$aVlU+0>AlYMA345eWPT|N
zEl}(|IXuXU!Fum^{(7Etp=NXH#c1)_=b=e&^{cE*>}u|`j2abMrQFl7UDa
zA@9J$@g_i|Xx}q>>|V1;8IjAG=QMg7-%>gjhck|kUS5wE+3(H?nW-w=%qflWHapxO
z{Qcb??Njxvz(;b&0b9~Z?>&)puepm}nJU?Ev+4EBJV_>Fwf_cC9G1l;CRoY4RAlfKDgwCtD87i(jpJ^xuzm(Kb5_cLL
zPMes(Sbv6seS2*`Ri$rg?~GymTB=F
z_k2>-$C8JeE_c|5E9S3F<rQrli&`26_m
ze#TW@@8IgNuWm<`PLjl(2fITtqXrL<;v&U|vrD`aAFc+-^=>NHj!GE)3d*gepF>PV
zi7#M(U0Tm+Q2HClY35!(`8OBf@BP)|q>7yTT`_mEd>EXEP@g&Ui!9)eA?{A}Aq;)m
z^W}^M4-@yxV+n>D#6CnY=2WWaK!7`4*`iuR>>P
z;-nDeB9`fzkax{YFL^pJ@eWdye)zq
zvmcXO&bkmd>%VlcL=X~SKqK1F_ebrMSBg*Z3d*xGWrudpw0>L0UQ9c%_lW5~F5cvk
z$?kiww>I+U;$ng$10{UAf4d5A=2Rm$_iixBx3*9Vx_bxWDIuFB_j<&bs84>Loxap|
zZvVjdC!t78nA5Rz&@d^f_M>{PrMib=Q`>KEdyk@Sj9EQYz?5x22)+u|H~+lu;$5xE
z(B1fQ-jZsdtLkeQ@$+ia_<_%D{#yUr?+{W=pFOI!zndHFRbbg{-~3tdAU$-9t>8sR
zu%laHi=kqAorq}BI}=&i(>a|6fm_J`xJ`4g36v>4bx2aIBp^~PY}#U|$jDjy0U@5a
zTU>l_Z0w-Ky1Ze}P&;~CCCAfHjF`^HqO@fxrOS1c!G&cxA@?AFZN6jg*F;DVtqYgL
zp0v|>;$j${c7Ubq}nbDZ+n
zd%EW#T{~}bW{>z_Y2|Qi@l*Y^`>eGa1;dmg?_-8%-R`pn2L}d>8how!X2m&L!Qgf%
zg?#SmdP`!mqZrql{qxETMAr&mFzey_O3Ib4Ua%EwhaMeaT3H^A4yYNda@$1Tbdq?&
zB>$j`R?Kd>RPsa#_Z~cI&*snVRSW!KWD=o@aOjW7r%gzfCE6^l3nX$SW$3%l+gcB>b}
zV_qLt;~LHW`O@m@;iUGQ>`NgjLzlJK}OTrPg9^#BKNI!0r@0YbIuDAa{~Kvb}JO
zR+29_70d~l@3-sc(@;HTyf?i$;2T>OyoXnE$}r#ccKzY=>OA$4{{-dC?Cg6g=Q*xG
z>HDvj-I@R7=u`jS|9&eFOdbEe97wN&GtfV;ahCrsi~oQA&hr6xzK7iv#&g8HO+hx1
zWrd6PIUVHEQdV{5#~p+fSV&Dizu7rE?;t+^B8K|ZsZ7~pZ$dZ(;Kc%6_-Upd7yXOh
zDb+Q}t4~KAc3;Cegl1~}+BHq1It3NpHQbz9rKl;yi4&r;mP5!SR%se}w{6@MC)3-JGc|LHy3|LdRNzu>bO0QUX+H)v={f4+Z@R||fp5lp|
z^U*3wrB1>R^3rZ_ApZ&9-5dAaGtC)@!*NBo5DTSh{X}QW3k9lgmkHpT`zlZkd*1hd
zPd-ajbmm`0kPx%MONBVyvsgV)Cty#Haw=H`~g=eX~0U0Rix)uj?mN$Zmq`
z05kJPV1Gzo)YM!%JpY1&9Gy84#%^*q{mM8V-1589=^eM7`Ug$_s~
z(W2+lY>D3Fz(t+?Yj*pJuXGhVu6vy4vetDZmvtAO(^EV?v+O~-S3QCpt4}qB8RuV!
zXnYre@2bI_PQ8mLYdIR?vs*Io+@o>L{Cz!$;k{+H6%mDSlui#Pi(eatVJDZ*>Iz#tL>$>{P8*lB;H5+aY
z7#DqP;$=p3iqmAaQVV4Sb8MS1GWpkD2Z8^+UV)DUO|z^WX|F`a(_qJCuiZzQwhhbU
zS~*PwEUFP|d)fH(qa9G71MlnBwTA$+0#Ivq?lDJczUl8qQ@&PgD7yPoMuyM9QfYQJ
z0lnDokr91OO|krcmUJ$o`uR9MIoW?dh4)n&n)*QKfN2AaZxKdyzMx8IyF$H}nYY0A
zLOM-(`&MEkWx=}v-oy=H9#C1Bpn)+5S_l|$DE1Zs>OQdKdWgV15~(<=Z@W|4Qx=vv
z{u)}aO0t=ja?^9m*#G_LB*=yDcVz7ol6SjQYvyQy{Q)JgD8O(aKu$FhrZsS}yZ#K`
zKLkQ}UBOKgMra}6{{jLG@Li(8dco`%RE_cJU@-Anzfy}pN~hdu`p1WRwRb4uFI5lruk|R{+uN-oriqSA2b^_{=W;&lM$87(6oq_b8aH@F#R8qH_8M
z!59FbTCi$z0!K5~$`RuNqVVi&S<1#|eBcprkr4p?PIDYHlYqc`J}bk(YpoGjtKcMp
z!!O-N-N9AwO{*zidUAO4`E%!BT;IlS4!Hj7SFcw6aTjsUEc>)+8_|CQB!`3l`=YDa
zb{lT974*c!-LM3}pNCi##>Lnw@S%c{t__ee;L8KOVfr&K%o=CnMtHIefv%
zxQwW-vlE_xopeCua>YWj=W<{`0Fku7(;rXfe`Y~Ah{+KJUKC~FAxU@b@m4-OYdCp>
zo0-`JrY)r-uDaxNkA8lT?}J?Q-h;OB5E(&)7xebKey85}*MR)awaP8@$D
zh2Dz#MD;I(u~MJcF+m(j8e34hWq#GVJZScS9x4Q@Fvh@R?qjF~i8Pu)vIZzFFst!^
zg%8wTpr8f@ppIuhhQ6ibO@;jf)B9_|e!Sb=_Zbx91?B*=?r3lKTx+DT6&wPdJ;V>l
z;lS+#^8f8??XZ_Xh&i>g(nWds>eVDZvo=`QpBMIX@@odc#Dk-!AoE^S_TMxUto_rs
zv><*%>u5eFAHYvHc*ee!vZquUnI;`BS5dWku_^XWiE#&|Qd&RZ3^FbpP+*Dhk|R)2
z)7*MZDDm|77o5q9AJN~K2YSo_@~@`A1Ix+DX*KL*H69qg|yMgK{K2s67`x5jx<4dk0Az>W1KY8tLa^CAk-
z2?+@UHqmpcL8&b&!MB*Pk-Q0=z990b1Y_G0{
zHMgbQtl2U8P4KVEsm7{dHH~Q?SH@g~&4k3)n%k#dNwccDuYg==LF4ZhEE~-|RdMqT
zcbo!?e*YcC2uD)p<2r;;Lg!aBZw5D3PZP}b2loyR+Si+6EaHsoq4Lr^{}df==Tw`@
zwoW9YI<*(V*>>qgQmwzqe?Jz|7Uytrv>Vy9g;w0p+mhu>X=nasJVfA!a=y}ML;C}zp`C=&@dyL?Q5$h2lBle;aN$tPFHa^
zQzZ+xOEtJ-)zk46+pgbdB;OQ
zw{f=V#vpG{^xx$>^RF5J)-IHf`i$`LBUaupBY`j`jD
zg3U%ls1F3~+|tpu*46@@To_~KY3I{3{E2f
zJ|~;Pv`yoKZYQwufswvH6`>3(p!oTLD+1jj_k=NH&hsJdj_G2-&=N*F91ndn4maZl
z3p6aD0Ju06fZPm(2RK61@xco7zdqDgA#TCP|Ao~dEmLDK@r;@j9Zv=z+&_6*BD17R
zH5XuNahaELxs_~MX}poTAm
zk8S!5`A8BqqX3SZzfaR1<-EB+2A2Zt4WbVZ(pxjB$N+stkO
zMa`E8X5YFnGKK*c$RI(G#NaXe0SXGG6p15HD?!nGu^ZBJSXdaOf6gGLj4hzrWohO_
z57@X0)5_{7YR-nyp#C@hKI5-jy@~5YF8(bMt#nkIc4&p{^nkK^N0GmV9ij)*`sU_ODD$`eT#jV=?^;u`m-U@^*ce3oX6ZcvWzD%$
zr=TqN$ZpqP0E$BO;d(oy0h~fKjPV`}$*lUai@}xGADnZZ|R?N>@pA(=6
zKs{0d&l*O0eF7na8vFX1L;v?OiHO5T?3BSnsiVUg
zh04(_%>$pH{d4ba9zD;(ziqhQ!Qb`UMlhmv6JlA$r%#V=MZ-14@#1Xsnqq0+0_o=`
zRAwOPGFZ-n4Fv@W2uICJhd?-OUhoLQ1=KU|A|p3Dg~lG`Y6Um`SzfLI!Wb|?Yj#FG
zr2}AD3PQC2BRpBP4qS;q%q(j&Sd;}^4-jxg?cI4ae*SMzhwJGXL(32S(_!~N^8eFl
zWiI)iAj(rt5oh{#UJ1TEB?$?PA|s&2gpvph3lYG^!c4;*;Cd)%*)!$QpW9$P(t;m3
z+p8>TtAbuE1*YMc_rVf(^`@GFLPxRTEDTUVsb4Xj@)CL(aDz+%^Kf8xf>$3j0>C6Q
z#jj1byh;BK{QCbiTsrK!eCLSSSg|a`J-AqvfDe{uM_ZfpBGsvERi4y0_eR6W=;^`d
zWE1L*51i0tM78(#3yF$WqR)V9;3&8bL-d=M$k97D%46nX=kl@XYq
z3IhM;ExZ9J)i&VmX%J2~3@YEV+)G#3sO8t)3yBH}XxARz?|
zC5NE|HoIW={$fI>pv~_uKw-kC^@K0Srp@aEtu~rUTSLzbjtdza3QTTQ04J-es5MlOK0b8M#k^po4H?-I-iLD
z_u=**Xgv9w6nVU|&I2l=Qtp3>cmys4%r@ZF-Q5lJagbaUq@<*Hu^|w95ctA}LdDiw
z-~j@I?+_GLqmdq?oA|;*#n#&3@d+oRZ9BiSGq
zy)Fa{1Wr#r&<7w8?hq$sT{~dk0a+sCeFw1D)@nIk`1ZwQkIAz+jobu7NfTD=A+(ms
zye3W1&a_xg+^FLd|0ny-Kh&JV^+dim3#=XfF3XEV;gyx1kWp
zoFL>oFAahVbkEqB4=^X-YEPPVq8_~j(sfG`*wlbCk~i3iTK8r5K@@`c3$)#u)w;`#
z7AaW{cx~o_2_qnF
z8=C}*ZkYI+on=*wHx-LdNm*H1y1fG?SoOcb`DAfshGhphjEc+f;q;=eHcy^BfzSe6
zwP|Mz6gG})ERlr(P-Ij!z`8B98R$us2?pN;oWd4--L3kp;73n>YeP10nmkyk4Gj)P
zc|*fs1b1!^N+Gw!-;T|6ZbaRMT@nklC)DB|ML9VOu#YSj2O!u$(*@licvt=Wc%N`D
zV+E8|+_i^lQx&Yr$yGpH1UO*`N`q_QI0I}G5VAoh9?@y}LmGa_;J%cZQWzpWGhIa
zU~7@MVKwrfj&3+s{pI4-kGhFM^23j}KavZ7>QR1#x#tWpkaawy5eO&Gp6vn*LQCL3
zVwbOa^g?9#i--m{To^bygfp~LnSkj*)@l}dV-tA#E%z|$sg$8m=~p_1HX8HF*KGDY
zlzn>-N{C<|w`V&eZb@B-6aEa*u@a=<_PzL<_v53$eh$YB-a8L~oeg~G;1qXoWhT$O
z8whv7G*Z%ON-jKR0rnkLD9%(DLkNP7vIcG~Z~$w=V4@p=uNp)V3uzeQ%CsxUgU~3u
zfv=5hy=f0AOlpbwfbmx_U?Uv>rjd{vqn~ZTzDEdsIJ_D1Vg&e}!EWh|#t3jO9T4Ax
z5>NC(A&{ACjT?iYppJg@3`|*WHeH?m2=&w*X|cw7)7q2cO2=f-lu~uMTZBsNXAZ+w
z%e-rUg^KS}5jO_3;$5AccjRGiNlBRdsNf8P)B8H;lY)nfx!y6q{%;Gy!HOmuc(3bG
z7Q`EE3jheD$Y@JGD2WBrb-sO}`}xvpel-m$vHSGy4Y3OvP3$#LMYUDSOH04n=pTo@
z5{=CS#Dj%}r34CIaFGRlk5H3c)p{Ez=q{s%0D7aA^sZVw0eU;^w<@SUoILvBCV&%N
zWC@XzJ3vf3kZa+IjKLB&J$^e}3ke2%^W^it0S-~2$Ji@?R)~g5up0PCm#d@30*B9rPRkONWP1exGd
zuc4E_>QxlvsA32RN_UvuDpjU3?6y
z1%jmJa?yYd_-?RQ?wEJP8a3RfC1}Pq0>HikWc&{77J$8c4%hrq6Yw>tSYy6t;b>1#
zg&lMA*bNI;jwm5v?L$>_v|3LHr7-(F83KP3DDKwTFna(lgq*kmIzc?9JPO5$rN-(NqLNUUayx7lPcbq^vdAls+(94yy<#{AWj9%o`z367
zydr7A)m;g52eXu@Th66yj~)JA-UNSMqbhsp_j1ItUZZHRf|y)C*8b@NYHZ>Hbw8co
z3I0NwW9|#nly-N5Y2DUq;KiPb(UeH
zMS8Xw_8`=o0ArN1hlW}<`zN5I$Dzu#&=f?)>fFSsiJ@-a2+;YRAEW}|R(50WPpsl;U$W=GNBp~zK&-g3vS5jhr
z;y3{&5^2_+fbc)roYyXxAYV~hqHP*%On=431q6gY$!=0`HFpYQl5$kXc1jZ9<|_l;1#O30vAQ`e)~K0|s@I);R2b1`F~9fno6QZ;o&!<#7C
zuO(?HWnb5X4>DzT;%SOwisgvSjxc8ZN;-!oRu9a2mGvsl+59U%lOHiZBEYia6Mtcp
z9INanC*xPX*PVzQ)8GBE((dpuQszv|B1j*Mt;j!#DTI3Q3(s
zpq96Zj?3FjP9hV{5{VNo|J~B4#6`fj@X3iu$&|J4yFy~t4ebC{Vw7^J54F;
zu$zRG0OWmE?g+sRf~2120}H5|1kAUKAHhm;c3fWl>N3|e4K8RpMNhkJOGmW4uKa|R
z4p49&Ko?(?|E#Ql6yXqJ@C_Cg>WI7Gybi{uEw+pcpYxvc~4b
z6bhl|d;w^`ckdp!x$QutwlFnS0RIcnE_I3T=s~lDuAfdzgZ^$D?<&WY9PSYj&JUEg
z8*x>*lAqR-t+ebt^C_{!X7~Ev*N_clB(Hpv$lpi?1ZXtLm6GyC7_;<{@$oXr>M_bT
zP|iumYRIB_Nu(K-kZ2924g8#W5Bs^o^bgav0i6MM3{|?S!5h!r5R<6&}HW49HfGb
znH#oC6x{lJ>sdxSqtBZsUtf6V5Zfa2CX~z=EleyFo=rN5uzaeabmSbP^=aiyv
z(vWHh&|qqM5TqhD=Hy&ogS3>*B2T8vQ=aMsP&|r#+l}E|q&T%BaHeE(o9{L+ux}L1b^g
z0_`2y-mfDFP$VF50L=v`pq-B2*!Xe;v^-k+jkx#WOnw}u_p7k-`CHnh0imJ!4fvly
zBKo+{d_APYs@UAr6jqc8l>8NWFkaan^;{7L^~8XUg!}p@N1WYxh@%3s0l|%x!3irs
zxxq9DjA-yofVzIF06Hg~ucm?NmVAGnp!F*NM=)Csb#$Sihyir(nC?fvi-{-)M>goC
zr@80!3ILxIJ+ay>FG!RdfW``B$NZ4Pp%#H;3g!YPfIWcW-Fi2$k#VXPsED21mA0U|
z2IC48)bij=;(XjreUd@bdjqO)sx{#(*kF8vW^6w8!=5YE(1KMzTVo>DFLN*gNeK+U
z)X37HLJk$*{tb1w^=B@^7wi!vT1WZoyYr}WV=;IJ(5J+I;^y8O~@zRxd1Gn(!1E6=cBV=0R(
zD{UOEF^ib&F1S=qODa9
z!P1+n^UI=?W~@DUj}@{xCzA$c_2d-ZR>s;f`>}HnSLQxGYgfu}z!_axCMsukLj>=_
z9^USe(`?y2UP}eW)awzmKST~U2g-JBa+=5@h(iT$AEAMyWT~aFRO2g7y1Z(KOa{Pi4*4a^9>CYDZUi?R#CpC#gUEU(nM#`@{*3J
znFXDg=lAa#G8akRifl2444?<~6c`0ZpMAQ{u?O2XY*$g*s
z%ncBj_XN6UZRWR_yULo&vKX`H3AdmztIwot}5faj7ag@W=ZEI1ErUY_+x)We*Sk+P#UTBgz
zj1Mt26^4r#PpAx`2Rj?*=Lks~$9<>bYuHQ05Xa?IJcS+%;<-0i!{_u>Sod?8NXG%1
zNDq}UEM3^ZVAUb;imz#rwW$wW@InSO<*PjQ9*S_TgBcyx?2ArrR#ui%_#DV%VZU6Z
z7JwPqfJKVnnXu4uZ~4?tzbtIE
z=RUwFnHQ4m&TVI|5-jP;JnMXP{QR^w)ukr)lS&bZp|a!8^WL~#@JHX&QsnYR^jN-fDv(zqemsjS`tJvEy0dWd-szXV~
z_7g?it_&k(J4LU{*T3HDo?)!Zfe9UY_!s%0}-R)%>`584d_gSC#IYKz5=+nFZu?GqCU^$SJYImA}e
zNjnmkuNY&T@&Kk$%st0cX6uq06UnMj^>
zFcIn8jdOs62!BZTfCB+UooBy5_DD=j1l6HJve*DvH&A!MVMfoE#%Q>qD3v8@7#bRS
z#HAy9bqbj)L#dvs@nUVOQlP)`4Dx4&GK0xe1r3d#fZr!_i&*x2A~|_9P1U;o;~pVS
zZ;32|^L7xl9WaUp86;30c50p<2xFmIc(+FfPzf|@KH)5IJgBIJ7g->ezGiFA{00d~
zD188L;(LnI0%M(NWK?lL1_bj~MtyLjFiQb%y*bECQ6JN&1)lOi#Rk}z%hI3=oJYgw
zYWefWZhQKtPh^M(;djdOON5{YMuDmc;{Nlat$t|O#od+@QR6eMtSM;VCp@};I?`p5
zfb_^X)vzNi=x=eYu<2PpvrnGJwVWeLyT@QB^26!(kl~Rl)5A$i!P_AlS1=prO6Pv*
zjU<1UA?W9JOm1|q$(x=Pi`cmJ!NSQqaHCy%$}u@(;c;Td&1!YV=ZkVVCO5dh!=TEO
zv0t!r+gJ2&Sc=7MC}3eCNgFo)d5*WWarc4+8IM7^jHC~tguBMY{5DMW^?IHq*GK1A#w8m5fDht#3AZnu
z9>O=Bp1hNsx1mt!Jpgx&Yay)DU7{bK_Lm-}7okkf^m;=f$*083zCXhvv6F+ygR389
z`-p_*p|N&0UvvXkx1`c0&P4>f-X!t^RGQKNi<{rlKm4U@kBAYN8NPj>W2U^h0N}0H
zc|wGHJ^NPLbBf$hku2}t-?=YlC*B-ANf>J30r%Gy{ZGtwCrW0H|
ztk#5TAo920$Kn3l$XYlgEL;@G03mzt{D`1HdUt@6J$k|M)2vp2eDkuj$Ik9#d)&Ji
z4kMA+Shi9?nQM0cT*lsM2SnAci~mKSHz(yYCWVSXDx>bd47xyX`}qV_OB(HxxYv)j
zX~pI!W_v$A^v#eyW@$`m32jlFHP0*OpLiI5q2CK{=h|?pHT|oDixan<8UEBD=|$W~
z>ogtgdk*mkudm;jNay2sB<%6>qi<-5fw#E!#~YtettI6$!*~4$LZ}h{qEk{*6&H=`
zk`}I|d&ZZgFnQta;je49bok0R7_yk=iapRSpGgnnR((O_-B2yJK~nd6ZdqZ6ahchf
zu&3&Qn|7-rqh!-rxn0s7qdJ+eK$P;IW8|^)u9FisK5hYil3CUNlA+y(+LC$CE$NMG
z9@kZGli2B@Oe$y`CDZ%O$y!?dFZ1_zO79qXoVw)0#6ZF&EyTZWULj;@P&e^#__eck
zkNAUUq&vhFl9zlKtH|<*F(;vKIFdU@gvUG4?kprz#y_IFI*63I
z;ngyceNj8zbAJ02<9yhv#neZ9w{*`-_}7W=PRYb`T3+)jcN|G!Q@JSFBOZ9cU$Eev
zu9tM`lWWFY<~=Z8<)|c32|PYp@u7*ZqXl(aJO^P~c-)f5yB`ZU1oh(~&^xeWwZ3b^vxSVX-(m)<6)H
zCSq$1q<{t9dCM2=?zsgrNGHRFVC&nkh
zOo~M6sXhq1p8loov2Sa`vBbVl|7EoYs&gxMK+^E|ELIAE&-+e&(*O}%7a+%L=pIYz
z_<`+HY+{>36lJ({P+S17F@EcbNUqeCGe&cN7jkx
zivV`#H0{XRE(f!qvAW>c0Ag)DQ!J+fCg(Go0{i}6P=Juyt9fx7d3;C1
zTB3jUVn&Mhd{0_CbEw$6*w`{Sn=Ge~qgIKga8x0VPln(j0uGaeAtr!C<8Wp!n5!W+
z=VA=K9SL;x2w`@F)d=`wSGiP@Ebd7X4&wo6fugFgK+jY90Q}Nq~C$?0os*CM{IYI
zrFu>uH7Tiy!m+VnLdbNHp1%I=Yr&o75sryqzlYBVCmPy)E{lYdH(GD}m%=lq)Hwsyb`?XH
zD2lI~xllziX6!sU@2AaPt*YG?<4kZ6^=sZQgG2f1og`}ljBVnOaA{0wVbD8&(XF>y
zZ?!~?d!5cJ>6c)CTLM6fad&@vrfPin)5Jp<=Q;KKVhTb##0lE!SdQ^Qra|fZbL(s3
z9Xsx-QNf@u=>o&!++To+$2{tR<0ar$$hN}irR7%dj9|kzeQY|c`C96tA9EnNJAT&0
z2bhgPKM{h0CBPK8X;2M3QD}_G+1x|wV|A*J2iC@&{DD
z;7t_Fuw13$=Ivc0b`LyzU>diU9zu&yv%7Hqyn(I#Y{fBvq%ptn;TU%;uXWnhx-;Ka
z)86r$1>JZTSx`vQuHC6VLJgB(+$37#qxwtKpm`uJ?<94A(C29KPNko*agcu!eoO#`3K-1l$v7qJ-Y@g$MS1~F;4JC!rak$2oMZM#T{
zKBxcKd)JCuv**o^Kw)MkHDLe&8)+IJOn=gQ;86bcRZ*`y{Y3i=Wk5aFQb
z(y#fx)c)tC967r8U%|ir1Yne%VN_^A28<9=y!W%h7q3@u{n9n`TJzIW82kZX0c@CP
z)Y_!A#vFOrLoIg?k6$qCg6a{#e%w)L8}sAWg3W-0nP0sf&s!r~0h2ALBc8*MPdFp&
z797y){(w1-hG}cIyFONU=B?;5&&=Cu_@NL!j7iKV*%0a@m|6i`;bPzd>;g0;?;l(w
zF!)n(cr!mKl?^67#{e7RhUQan8eJ*;=E}F1XJPb*8kK}oC$O0*i*Z1rhBmYlF%32P
zL5R>O9G)C-#eTp>(1cR|?%i)Nx8#M9;+HQxz^{TX5{%m5tcmyVm1XTPecNwR*&w!@
zz-~*7F^M@?fno**C)J0+ZD;iw?>EGUJu)C2EQ1vX6Zey?e#2e8Gp95KfzKU{((AmcFv0!v+ULRzgq5-!QvQfNnoXHSCI*nkonzO=uq%IJ
zZ^%y!xnzvgcR`X@fcbYh`VYZ-D|#h;MDCwCbDdiN3N5N
zWWNC`Oqj?WAi+e?35;Kv;0$_TPk{#*zoiN&YL1qRg
zTT^*?I9*5k>C>lcG7Xmvf1^-vYVc=E9XQz#<$$H0#$v&yh!0L`*UH5m72Wiit6%M_
z8VrjQ;p`Cb3hC>+10LBhk>1VjdzWqri4%;}VeM$)KvIhsqCYU40LT{SI0D1cwVQc?
zEmp-=@mj{ZXsiQF%k{oz8&^95%L>jL2VW65N&!}*wO;Gx_g7-o&!gI&3=;h1D?U+*
z%a$f@0O?2_9nwzP%`v`ShRCt$v+HeT>|vYU%~x`a#+amz*n|gLJe<>eBB`X0T~x<^
z+`)vbe3f1O=zt-UGS^&lP*v1s5{x2>F#5#bR(d&MX1qZ-ye`NfhEzMCJVDWpMdtQi
zMNpI8XXIQA9R>CwxRU!bwC!V%;
z=30BF80KH8o1Vh*1g~yYcf7GS#zOQ+U
z@3Of{ty$tB2xLrHloZ$%!ii6Y*!)P<@d%wsze{8%%$*E)ZU}P*Y7xL71
zeEZUpYQq&UPGZ`9<9x^jmLvu_*1*QaJKujZem3EWKp=I9Id4s%w8KL(QbjT;Ubg>-
zsPm4eI)3~Au`-Ke%RY8iWN)%ZX0lhdq{s@H>7eW_kxh3u7?9kP@AI^XZ_
z{@wkhN9Z`-pX+^%*Y$i6VZDgvwxytQq*WNT%|5?Bb9?njZKlD(@lv{?w%+NoH6IjFwVG$C)uWjNC^BZsiN$ZPvvam@CY|5^jaa*hCS$#F3Da)d
z{|H$zrfChM2zbaLqPjafr-P!$+~d=7tc&GeDpW^kRJ`HJjs6{*k{@Pohh1pGY#mWV
zVJv4Mm!m5_*Y7b{e2z6qf+1MEg81$
zeLWql8WZoaYMP1kI~h%WyjQa>dXRwYtNG9>`tJT%zSYG8w@eF0+KTkiOIS!04(>ww
zJ(-Ba@v|mUR;36DT0LW9A6UO>a(CN;!Q>flY5hVMy+{8L7e>TyK6h#?p~u>u+mH2!
zVR|KRd)xT&(b#TIEsx`2P%y|>1V8>(BEv;YAO1Ty_42s(2gMNoEk<|B2z_O`oN~Kq
zt*PbW=koK`M6iBx6)~#en6P1staeqactJ+~O((hKvH3Ord!2X=Xd620P*$@l*&2@J
zP98gnKC0ozmALFIp$0BgFE+*-ueR_!keXm5u5;)t!dZY;hPPO1UOIPn(A)bTq7-Zh
zANqNBTYqA6S18|}#%_IJzunu#XynZH6x%VORr7^F(1#*LG=d7jq7$Nu$huYes;WzD
zeSqgpx(L0?Lc6a|vOw7_U%$+dlZ`}XE~2aNud~Fd5WLgp5WIu?@Jl@jS=cC3XEAdX
zA!+K*k@C;)9MCvdKwASYTkwZ9TosMO02tP@yK%CkAmIbXn*6`rI8X=wu*jQ(^J>q)
z@KQKcK~){wKy^NJ{HoH`V%)1N>I&opXcNNf5CUvmc2#9`a=cgvA4?WzrIL1PM7la*
zU>Io>5ra4@g@TwyhY}O(<f@r?&9~k8<8#qPUfuMVUnxS3A@sC!*D?RVlh7
zQHPK)fw}@04<$~Z^oqlA1AHG&LRhfllyU7Ou#tFLcFHfu%uJ#}SZ_Ie7JjSjVlYV%
z8o`fbV`nDRd1@8$QW$^btFy;b+FMfHr(G`!*rr8WV+&aXzKh&IQ1_}{_i@rgXsL(V
zKKdlMtRE>9(iDe|k3OsAjAG~Mai(|Rc;!=blZBibUCu#-jzEd(Jb62SoTPJRnb2|a
ztj#t~BzVW_uwk&o%ZU}9j*Ct9=C&eHWu}3)%g@I-^g)J2BE_t=EXz1kLsnPKq8_r6
zmT=$l_qL-%YIqeAA&c?4uT3&7;YW)UywIVDSyt!YqyLL5Wg>i6S?tFYXgTso428P6
zYveNUITKrz63}{)TwKG`r?N4}ub3@;{;+afZ4SfNc($x%domOn32QjKyqb)t4y@Qd
zm}KqsrR>yo{jU~45JmzR*e@6kvn8m5It40!8qW1df^cDc29gNH5M*eGEsg?-zd#!;
zBEd5*1-tg^k4=(g&CLuO1s){!o;nsE3!YmP4#7>ARxTginp@;IF7f9gmO}9u6p$Tk
znxUem)btAYA(upWa)jevbzhTiryytbX`<{PCrQspzK%_%|~b
zUg%7H$!;gzu!>p-?P@j|E{R^`UV?HiE=h%QM?bC!DwHS!S4o*~GLaTV9E;|#ldsBs
zOQ7`iBhIauaCKAkrD7IDHFqSf9dRte1sNjZqJZtJf*p^?V@FLNVu13`$7Ut=Bg1pc
zB|xzgA}`t5M4H%JXDv&9#+OZNUWs$J`apwT;bt{1^{dVAx#VieymCe|{G3Xe5^N*N*ovrf
zmoIOow8{A-=Uz&`CAEK=Z0OJ%@%g<_HtWLI#J%l__nWCrGb3C&P2qOn(_qsINA2EK4=D+U>2%9(#sI
zmfgY)_4M2@0)toi2rbGR+~f=Kf$Snw|GCR=5R+Qaf1M-e5mO>aR#6D4xgJ7h5@9>}
z&`lh3f;dKJ#CkEJhZ|_?f;>Uv*qC8iI7JR
zk={rMvPkeL0TPY_8NTe5Xl*(U4QrGgPc~7lsEB}76{p^JbOE+-_~SHhLBRmGpV6Gr
zg~dw=jN_m7ZDqCQteYQeCAma6j+0Y8XApbmdC+w*wZYF*NnY`fCYDhz$JxxF!Hmq7
z)%MShRiMeyfYz*ajqFnq9)87~$}p^Fhec*p{#&(=iT7+w|02IIe)89H|8e@&C04kj
z>YtDrY@D=QC^{f&JFvGcGv(*YXZwtc-@7307
zn=SVjM^myk=u$f?)7zdM^~I>nnO6$i42I<`kgiX?ar0lB+7Tek#WCQkHP@fj4?h)n
z9IRqFM2g0uysk<@Z}h34(9XSpLyRSoM6OuvsPdLaa}(d!1O#O$9Lj**78BjF6-J^wC*jPX<#g)YBXg1x1B6b(N2;pK~DQU0bFP-{mCaJ?c9FNFU+23%#vm%O@j1?P{6Kc0#iBT{UW>(pWu&`t0
zc96&OG`Op2t6F^j;82_2L0<86;8M_}A2o8xr?=CYPe>S7;%W%K21;JfibZO!OR*?H
zT1CfzMb96xOo)|iKedWV3-U(QXdC-znnf+vbhB`Onp$^1(99b*^w
zEQA8pQUif`pJUf>BNDGUR$(aGsGElZbMi3BAa|HB-+P6RY8U?|Q~5=2#;yfl7z&E4
z+Z`u+TrH#bJ-pL&@NqFA&9#7qZd^v=$!c)|P4?NcnpL3FzddiAA_{%I(gj_eziVC|
zCFzIj=EiEG0s2{izv}8h2)7C@cbMM1wejT1@We!Ql<6LGd
zuW{?uC)XDbR8p&*3{@%@2a}$Nx@mMS8d{aTu_OM`GxG0ng_tcn`hM2$Biz-u5`*!+
z+Ye=fA9?4f6*gD+El1WXldK`t{+xdP`s{pvj`>!mR2kvPV*s%fu+JpApAhn&L(h}Q*Vw(8xkFb4E}F5|?B8h<2r7T)Ol
z`1dw_;o#Y?pLgU(#Im_|(K@pyZ+IKiQe$(D?Qnb@g*xB0tPNFtN%n2*_LTP>1F!E4!4-q<~s=l5-3OYxzaCJn2kTV
z7`8B}_}ih0v99!}DH*<|VSU?=h4um4Y5FRjr2ElWxOZpVrII#apP)C=@X+SEA%Buf
zhQ77yY<#h7&q=kVY(MR+beT?!u3`p(<^37M028H3*?VGDULvgIh{sfGlZ7LP5gMir8MX!1Y3V|3U0avs0-`md
ztPOIds2-jA8S1nm5t;Y6NG+rDL=U1a$uGn>qAPc;EcXo+J>7!hYyFiNI9kk|E(3)S${XD=oP96kQai%YX5VI}XGQsSaQH*f
z2DaTLN<)q2J7&4!_uSCt?j(7=uE(;CY4=N_z9c2awl1^*I4P)>a?A=B1Sse=TjYm%+Uc$?kG%wx0bc?7H>^eIM=T;bssA2`<{>2%jHgJ2G^9X
z+L`sH`M1{tCi8JSqq>%+OCKUc{hOVLhsZdPQ^(VFF~k-L>D3ANRe|Q~?dD9!2bWi$
zOCCO$QWela|0d@8PxxbaB*880U_fqKA84A?S&;V1a7FwN_Y0F0C)vs_XFL?irs)d4
zst^z7IKuAik)Wt*#CZEPW#zy3v-h>I={dB_%wId(+|{Hx;1;q^C$~$^4^nxgo@RG5
zpF@X?H&4B>>syUiMM$zbxiWdOPp=@)(4}Hq7AX}Z$Kkj89Ire#+{nkdD+C0i9yuA8
zKW`(nf@
zD4ZsL<;m+eh}`2N-&x7_iehu?;_?}H_{cAjsZg_M?i34
z$SdlT$gsxl4H7Oy?^rTur!@Zx@ZLZk~VH^n)x#ln_Y_huv0UtM@Af3h7Xf5^wGI
z+zFSe;%T?&NQHDY^vDQFk`iVNEz#;{zS~o37b=E1q=M~OCm(OQp|vGgcq_(S*_yJ&
z4p)zKPTR6c3tvY`aOFgpxo>vb9CpjTyk90g^_P;-qtfec98RTgxa2KlZl@W`w^wAo
zn(jSXJI;3*e70(_cnf8wD5E^KmZCgto*vpVyu_wZM8zxRf78>MxLRS^lv$M&P4s3?
z?x^omQ(Bu)Zq#{%*RDq9rf)dDI&kJ;B%+{J(>Iz+A!VisMv^Z?8t5cb#>G7_}=>_<$4{cYm~^LOV3C5
zP|9%~uT>SefI`=zQxUa5BrX(6oc8^m6Mdy9Xb0G^G
zJH~`uWFNKNNcpnIS~c=SmxKiy^}un4h|0hI4-YO4`b5-%FW`L+-52dz<69?@y4|
zy-NGl$g~hqOO2d%4E#)?tcgFvDRG?NUhcIM=^zqz??kcP>Mc2=NMVm4@pl;_iJqiv
z3$ZgD^Vz|}WzsOd(G%8MdPOS`jpep%r{+#VU~YTa%h~^}6H^mcoGtclrY`1}RH!6K
zRwNiijUygXPJT>+xRi=C7T(%cWFU_hV|c;m=QuIF%3Axkye+_;N+>EN$pg*RBvzcU
z*yEcxS(`)WG*)%vA)9#DsxGay9-mZA%4GcEtT*FxcI2-N<{!^xZ^x?Uww?K`ld(>Q
z0~&>)b*%ZY=8l!W1F&hVkK1Y5g$R)g`!A;MH-UiEWo}Zyx;YTUubNv1crw6Euos>{
z8BiHeiUc%u%0q|2(ls{Ti>M|i4?L6LbBP};2`g+bSM?a
z<4qvQ$>^%Bhz9N{+(VQTU@4a?FAUsV3X{7e7D9_=t-y`3oHLQCCelHKXV8Y!7_+bl
zbMlWW@U=~d-@of5u8s)3KEGZgoFO<*U}RLxP0QiJA!nKcHBS_&5Vo*h=;mhR2V)i#
zvy^*A_@fS8=PXJgRod}0VQDmOH%Sg!6!opEoz{(yUh8^jr3Ryj!w(_PCzZy0oM>^;
ze_K0cCRJXz$U>tCNzT_awuSvpBHt7g;$u&ZaYCGuiByt&@dr8c)bSM`pMRt|%Lz0-
z=`JI#3peCcH~MtYyE}Jk_3*-$$4_WO&HWii1>raQnzibnzQ(W(e{nL1C9~gu0}SJTmPZgE^KQ}t5j^MO?`oew6CXpg
zESLvtT
zX7SWiaapan1MzlG#r&{xMOOoo2fLTM`yVx&fA}U))W*)jJLJsv#73E&emkL-=_C&+
zsQN9Wmjn+VJIsIqec2$dw!mM-+Y*I-v={cdm#C34o*MhP>nPpV!b1}`!#w#?t>RK-
zj!|47(`buU3H=-$dW7keH)e`GWqqF!B8so)34gX
z#?^m98$9CQoOZ`v1{>$NdJoFOh|d9R--NLAZF0Q__+7?ce4?GcO-}E8
z^Ze?scYl93YufE3FV8N9Y|hxk8e*-A7llx!0dt{O+-lb_>eZL$_kLOy)=AR8ch(zgDsug
zw{HUujGKq2XNDQK4VEJ|Ha0AS4?mjeSzEV&_y?B0oLY-OMADAxLwp!5wn13Qn@_tvGawIN#dsAIJeZ{Hrm}
z-AC3}avJlDZySFZ+fjeZSJ^K})KOmE9DiCL^+c{@ui5uU+1%n>bH?A9zT3oN>_Lt%
zl9h@&u_cgS&8PgvwA`K?F`=XfPETb|>$$WU%_8nd!gm7@a=DuRdV_4{wc5g9Pgz;2tJ
z5b8)8xjiSjKiSu!I*QhD!JQa1cW2mqDU9tW#+abIN--dFxc1OdLWqpM3SeuE*%7{_e&F-`k%Dr~wAL(HepUYlTc=_e=mPLg(}n
zY`%n#*5K6c@9o)DjKgBBd7bP^`d#>V?&6;>V$8xzhmRUO1@}PCg;_v=?M)DFU8cPb
zA7Fv<#ck%W;tP{B91ska0PYshaHXcCod13%ugy+ga+Cdzb&xllWnGD%5sR_XrEoeI
zyI%BtJ;L56|uv;)AKUr^AwZ_C*XJUehw|3y&T`UT26jx>uQsn5=^e!Ke8>lV0p
zfyhQ4>`HH5k+g?xd>{-B%B}!d>_w+tNsJt@ix^@$;RlAyrBZqoR9fwXT#rD-1I8|x
zyA+rcKEPYTh|#uQZZKaQe}UKY;D!Y7U0}d0^Y{1Xk~oMhGUtDW0mLB${|_L}8sSaG
zXp3s3V*~^nmJ&_)#K3`w`Z8#^@_CRm@$!Lz=VVdpym%N_OL
z@3{~o2pBgo4nBsT5k76F<$TKn0sHM@@Y-O+)YwJ`nV1@LP_p|!*lPb`SD_`)U=NH!
zz`np{$~52d!$Ge!<`txfaOaj1EhCP;ds$+{6)3vH*9`4#%Cg3e;g
z>h1}auOCU9V!hMQQn~y%*+7F5NuJg+99HMx`{A2XNKHsZ|BLy{FN_RV3u;tjExwdy
ze3woNiP$IavHvJGQ6`cqh)a$|i#z19@Qg;p-5_XzyvA(ZeNF9&{i1YK4o&ANl^UCv
z?L;C$L|{CAu!Hd4YG{u2T#3
zgxfD+ouzpP)Oow07Gwy)JZifOoe;1FfHgEAdo(Sp{RoT=)0+Pjz|x`$Dgl-iG2%kl
z^nD2_!RAW+Dk^yoep0x?3siZ@U8
ztpbDQojQpa`kxloQX*sgC}GeVVo*J%1_paWT7nM#v4GmSCApjoRy(Q5$uB{K3p>aS0kH}|MJczRuwHQv_4iuoO8`a`TQqor4<|ov_+bbp61}t&PXQbZh{o4}
zx}o-*_B$jdK&Js#V({72oLE=ALYK?iY*l5*j^)$%Og$k*gZgB8`Fp*-CD@07C3Uia
zz#isI0XB1W#84N*bA-F<`)jxN&>LV=eSSRF^3S0}cKzKO@YJ;&0&C~5faf$WwJf(`ADCS8c=cj2#^Y~6JXPz>A(sy1Qhw37OPfNTMW#rHYzHe
znD@@yJOENe5JlgGa0r02M`_crH%BLw4NRAL%8}8dVO5WMb
zdPeFLlsM7d=hF?W0#9-KN#dz~ECpow+4dh>kdBlEnb9Di7>B<god)B(Yj?C(pj7q23hx=c(i
zv_Y@!Z9&3=H>A|%nsw)J6o1OSX>5q&4J`-Dsg3(JDjqiV2yP-?C2ynS?_bQPjI7Da
zIro&S^Z!2bA~J+dT_({df*TH3`q5ee>=kW0Wi!o>KF4y#KcH+cd9%JHa@>&CaV2--
zk>bmJ15ML#butm(=bp>&%##J(hgI~DA3kEcJvR`Q8VsorOdPj&e?3TvPo6y2LDzmN
zt7!+OtbYZA&%eO+DsiJGOpiPu_=q*)gJt8dycmm&*4NLN)~yo3Hg0^u;S6FD)^&&8
zWTfxZnjR((l09OAi*)xD2b<5rZWj9>2u(0+7{MWSvKRp8eD|S7wZFqTk
zNu@W-0osGf9wG!fExB
zkpo2=C`M%uMht;mbBdAZzK3=fu;uFBBzZ%}<+M3?@rAg6N%=frP@ceYG+^C)K&v0q
zo$Wi@uv&`=PaqqG%e(;uk`QKp0<$0x=QZe9(<+D`SINF#=xp9>DRqd3mz{xhsacTk;7OM<5VNxQ+mpz6kTY
zW4`@rwl9WhfDoU4a8t}<1KujHq`mRGai0J(0}jN2TQy_wi@-n^4v$#1Z2#Ng}>hiA?