From 71a143b4aec2c859c4170530055025b603169b76 Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Fri, 19 Sep 2025 14:46:59 +1000 Subject: [PATCH 01/18] Add MRI dataset loader with DataLoader, transforms and visualisation. --- scripts/load_dataset.py | 75 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 75 insertions(+) create mode 100644 scripts/load_dataset.py diff --git a/scripts/load_dataset.py b/scripts/load_dataset.py new file mode 100644 index 000000000..970037ab6 --- /dev/null +++ b/scripts/load_dataset.py @@ -0,0 +1,75 @@ +import os +from PIL import Image +import torch +from torch.utils.data import Dataset, DataLoader +from torchvision import transforms +import matplotlib.pyplot as plt + +# ----------------------------- +# Dataset Class +# ----------------------------- +class MRIDataset(Dataset): + def __init__(self, folder, transform=None): + self.folder = folder + self.transform = transform + self.images = sorted([os.path.join(folder, f) for f in os.listdir(folder) if f.endswith(".png")]) + if len(self.images) == 0: + raise ValueError(f"No PNG images found in folder: {folder}") + + def __len__(self): + return len(self.images) + + def __getitem__(self, idx): + img = Image.open(self.images[idx]).convert('L') # grayscale + if self.transform: + img = self.transform(img) + return img + +# ----------------------------- +# Resolve paths relative to script +# ----------------------------- +script_dir = os.path.dirname(os.path.abspath(__file__)) # folder of this script +data_base = os.path.abspath(os.path.join(script_dir, "../../keras_png_slices_data")) + +train_folder = os.path.join(data_base, "keras_png_slices_train") +validate_folder = os.path.join(data_base, "keras_png_slices_validate") +test_folder = os.path.join(data_base, "keras_png_slices_test") + +print("Train folder:", train_folder) +print("Exists?", os.path.exists(train_folder)) + +# ----------------------------- +# Transforms +# ----------------------------- +transform = transforms.Compose([ + transforms.Resize((64,64)), + transforms.ToTensor(), + transforms.Normalize((0.5,), (0.5,)) +]) + +# ----------------------------- +# Load Datasets +# ----------------------------- +train_dataset = MRIDataset(train_folder, transform=transform) +val_dataset = MRIDataset(validate_folder, transform=transform) +test_dataset = MRIDataset(test_folder, transform=transform) + +print(f"Training samples: {len(train_dataset)}") +print(f"Validation samples: {len(val_dataset)}") +print(f"Test samples: {len(test_dataset)}") + +# ----------------------------- +# Quick Visualization +# ----------------------------- +plt.figure(figsize=(8,8)) +for i in range(4): + plt.subplot(2,2,i+1) + plt.imshow(train_dataset[i].squeeze(), cmap='gray') + plt.axis('off') +plt.show() + +# ----------------------------- +# Create DataLoaders (for next commit) +# ----------------------------- +train_loader = DataLoader(train_dataset, batch_size=16, shuffle=True) +val_loader = DataLoader(val_dataset, batch_size=16, shuffle=False) From 8bdde45a78c23e2648ea91f6726bae73113ac718 Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Fri, 19 Sep 2025 14:48:47 +1000 Subject: [PATCH 02/18] Add VAE model skeleton with encoder, decoder, and reparameterization --- scripts/vae_model.py | 53 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 53 insertions(+) create mode 100644 scripts/vae_model.py diff --git a/scripts/vae_model.py b/scripts/vae_model.py new file mode 100644 index 000000000..48245cb4b --- /dev/null +++ b/scripts/vae_model.py @@ -0,0 +1,53 @@ +import torch +import torch.nn as nn + +class VAE(nn.Module): + def __init__(self, latent_dim=16): + super(VAE, self).__init__() + # Encoder + self.encoder = nn.Sequential( + nn.Conv2d(1, 32, 4, 2, 1), # 64x64 -> 32x32 + nn.ReLU(), + nn.Conv2d(32, 64, 4, 2, 1), # 32x32 -> 16x16 + nn.ReLU(), + nn.Conv2d(64, 128, 4, 2, 1), # 16x16 -> 8x8 + nn.ReLU(), + nn.Flatten() + ) + self.fc_mu = nn.Linear(128*8*8, latent_dim) + self.fc_logvar = nn.Linear(128*8*8, latent_dim) + + # Decoder + self.fc_decode = nn.Linear(latent_dim, 128*8*8) + self.decoder = nn.Sequential( + nn.Unflatten(1, (128, 8, 8)), + nn.ConvTranspose2d(128, 64, 4, 2, 1), # 8->16 + nn.ReLU(), + nn.ConvTranspose2d(64, 32, 4, 2, 1), # 16->32 + nn.ReLU(), + nn.ConvTranspose2d(32, 1, 4, 2, 1), # 32->64 + nn.Tanh() + ) + + def reparameterize(self, mu, logvar): + std = torch.exp(0.5 * logvar) + eps = torch.randn_like(std) + return mu + eps * std + + def forward(self, x): + enc = self.encoder(x) + mu, logvar = self.fc_mu(enc), self.fc_logvar(enc) + z = self.reparameterize(mu, logvar) + out = self.decoder(self.fc_decode(z)) + return out, mu, logvar + +# ----------------------------- +# Quick test +# ----------------------------- +if __name__ == "__main__": + model = VAE(latent_dim=16) + x = torch.randn(2, 1, 64, 64) # batch of 2 grayscale images + recon, mu, logvar = model(x) + print("Input shape:", x.shape) + print("Reconstructed shape:", recon.shape) + print("Latent mu shape:", mu.shape) From 9108dbfb336c514c0341648b97cb21a26c61509e Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Fri, 19 Sep 2025 15:04:32 +1000 Subject: [PATCH 03/18] Add VAE training script with loss function and model saving --- .../__pycache__/load_dataset.cpython-312.pyc | Bin 0 -> 4064 bytes scripts/__pycache__/vae_model.cpython-312.pyc | Bin 0 -> 3324 bytes scripts/train_vae.py | 59 ++++++++++++++++++ 3 files changed, 59 insertions(+) create mode 100644 scripts/__pycache__/load_dataset.cpython-312.pyc create mode 100644 scripts/__pycache__/vae_model.cpython-312.pyc create mode 100644 scripts/train_vae.py diff --git a/scripts/__pycache__/load_dataset.cpython-312.pyc b/scripts/__pycache__/load_dataset.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c8aac05e47778012bf6e6cf6ccfe965474a03880 GIT binary patch literal 4064 zcmb7GOKcm*8J>OcAwDHaBK0QiIFadxWXrLg#Ez8s5m}BR+j_(;fnZBgKmNHClY}7?hx+zgE?WzAPIizgM2M>su zf4=!&`~Uy^!@s-T4g|yb{2!Cw)gbgAvZ2FXCU)j|gjSJ=L`Fstva&LhWFst7!ngo=%zYMj#JeW zO5HCL=J|URt*)X+^w4jJb5vWT9r#_i0k=Q!($h$Xi8a1}1x?KV0u}-+AlAaX4|h8Kwn%%C~^SwIun^uW~jGIRh zUgTl6fIX|>_-uHfY+)!?Zdj&1XqJfVciw~YUq!RbEE3EEGR?BED_;wQbPGMuZInvT z=1Kt~#nA9wKucVVjiVU*1zeZg+$@)H?qV#HVufF0?lkIF%8_tUs=6k;Rhm-ZGe?uU z!rnQ>gT338%L89f@lmg@$e=_mrK>CTTV%gHh>+^h8|j(I%`&^M#4ni{u)>&@ZlN$g zl;*ppQgM~!B^?}6LRW|SLlViY7Mf6|Q({O;0U<+HKL~}LhP6Z+HI@7tR!vcLEE=q$ z88%tcbWu_bJ5Gt(ElHm=_^BwF6N;2FtR>9`C*zdi_&h34pv0z=IHhadV<`e?l0MVjbFAlN_Xtj6O~-1e zr~CYs&#s<0ef(JHYE%a#6&l7dC7zOWNlA6@g%ReX>MkZNrb<&_M24Cc#8Q=aP0bi~ zL6AU?Af)T7#o0wcl6&n}FlA8D-?qTtaTc5R!{T}BZ~L?QUHVVyzrC~BcdgJqneV&y za9?ih^T%UCeoV;yV&c(Q{P*MQ@wNE6ye8i}wQ>AW$H`pZwS4*?fnJcrJU>1HiumM{`(_`IwVFTk-YCe7qI`8-4AoD zawPyKm&d$7M}SyGdgW{uCFm`M6FO*#ji7Itp)jkGid20tg&CDpn?~eAY5-=#CJ2yV z2$1iE0GSw()9PT#pr>Bn^1G{NR?ZZ>!JIv~10d8TnahI|fa&5Nf!OWhUJioWg#V>6 z%aGPeoljKmf0eCzi*G~M*sCw7b%2w8^U|2DJVhYMj-W6*WH5tai%NVpcx4Kw%m^8_ zn394z)y>Kdb7s5@P7=R@DH+!YJCu1Tc1}TvV_nj565{87A$}Fy4+2^*Ob|m){Ze8v zk!@ISU2DBNl5Y+dJck~8dh(v0jS~gW=>@Ln^e*-Ornl(xuXe3;-K{V9-d;Fg^!gSY zY8$9f$v;16v{2QlXc7y8;ShwRB2LSMb_v3b>8M;fQJV;VE1BMc>04A%KvJ%fR%K44 z9)7}m^dX82!$q1iz9 zXnqC18I>itnb>H2s5K1>dvm&OTd+b6zqhO`F2fbz-$c=(G&^95(H7Sj^NL_A`!rmg6 z#Ngv{+3)Fq?(l&t8oG!AWyP=>XTNHprCD+)fA%=x<_zz&X%sdI@C&Ej!Ljfnr z3EfzxR4D}>U^69#?YxqlQb31w7@J>jA5}(i3Z53DW(fX8K=jkN^fI_hR)|^hzrzV; zXnO_^h>7x%*`wgalH$`UHZ1UmB#sS6g1}CXmp)%gYLm(>0B%fU3?b*E;0-)Q1T23H z>Hb(X9K=eARy*OdtEF$)&z7!BuljR1AQ{%+pBLKZ7>4;C)jUIu-y_$*(6MJ||1%W) z$>C+{mjgc`Shf!$Pwmq6#p_GLqL3Y4zrJ>TU04(D{jAV_s^C7IaTHyirT)eKr7Me9 zvgg+O*ZS87*9Pyk z9d})Yx}%$@Yuka`!G+6@T^)H>N0D#LTz@GWO=TN}CCT4+C-YpbFQo)s;7wh%a&^M`ZRL!0O@ z_{%sm+&7Ln$MVTXsQF2aXW_ fdvxR6U-(V$#f}ZcgOl>fsiFa2^G>L;mtxuOo##z$uUC33xrBc zobvI$KFlkUw@JuMq4K+r5yGiRm`s%~0xMt@MlM+P@wR~KV4;73(pdPPQM1CV5bIn+(VhL#Lp@ z^$S2h7M4ifWh2QqaV7F$2e`T+5lBAhgQiq}wK2Cy-Oz7Ha76_wQi;k`SW!Gl3tqb) zi#z|+7F0W{B31qes|pP~pw%`>=f7yB;l&csn_g^rWzS!IL4zg1Pd3nM`r$umK_tEL z&srsc23yW*My5rpd28PyA2gortSS$jd+n@>@UFkh z=sy2N8*`iZZ}O$HBo;cchIMN#iUjM@8h(dsFCdu*k|I$;ViLzVu3-o`#wOP7C{`iI zI7byn)%BE_%Imr#nx+#z$)*d;%%_aB6F8hTXGWS7 zOHVjqz{3@En#wpKT~DSB%hGiVYfm&f|9d5V+G5;_XVa+}#^Wz#lZ6bxt@vpZ8CEJk z8z0?2`c(WR%P=d?cyu&=_|;cld*Z;z{^)D?25v^*fZLsgXQ#4eyd4k0`*;h;O7c_= z4w*5So`Hv@hjX(WKiQ%Ng>u+;A{Hv^DTvCwd2&nb{2;mbHCLf)~;u}fpV@Ql6FHmcp#Lv?L;8{wcmT^*>tUe|{16CSS| zzcjwyrEU$E=o7OK)9%%RW~N*S9)K;*(siwGRqL~@>Wej@Hc~U{+Wyw_8)9A^txnelYH+=H zTk%NMsCC!iX~Ru%)<_-^t%>rFh$*_lZFMfoJOA}WUAS65atakl*A%L!0*X( zQVYJ(w|y+mC8>#&OF~I5NvK@}33Nd5#90q}`+3MrC7p@mc> zWlQ$NvR04mDoen*9_d?+Kn&`U!LoFtt9$XVJ$QMn^4?W-2Oj{n`x-VL@A~e0SS*ne znQD3u7>xmKqQRXL0nzGvA0he(kfY5%jZ#xSC(lWMX%_YkU`Z;;emS3002A7f`77Wy z8;;L|7%Beg{yY~b1<>Av1W^)B!~%RX!1=>S9zpUr60E*_E09>w3z2Xhf?_85ZWIgw zafG5HWea%=@9T!i4^(g>%g-5{7CSIPjm<7VS?>UuCpRKJ3+YPQ9=Vi-C~WCnN?cA< zrH}L~{mlH-{PJXd_cP_AW$}i#>AKdxs`XdJ>e0Hkr!4r2PhL5=e6Ti9e{^p>vJV5< zv-qMND8GMI?Q_Ez6V|ZK$AVa$O~@Fi&S4$vP9cqJP1mOjM%t6ORmgkveo%5c8znQz z(rI0f3A`U~jzNCG%|o~By97T83x6K&T_C@Ty-N6(rzNHDx3Hr0yVqzoh>Vdkb)Am@ z6zpN6;ut`Vf7u-WEsENhnJeU@)})bR&lWdhc{Qy(FC_Df`rJ+9Ze5RN3Jp#y!UsXw zQQePg*fe<;ZUe8l@AU48AA_T~71vSR50CG4Sy-ISmS`$Do-*^$+VBdW6Yl|0gsRVZ zjyuSohb=n7x(MWsBnZL}MEj9!xhwA$`pY{PVwKok0?RvZ3Pje*#c!qFn_8DWdQIz_ zKXOBTsH`k>R5}(9Elxv)K2ui*<`3Q6y2Ca;QCHBTp3y(x+d?0 k-PLfky6dw&pYFLP54+p#_L(b_%ah;9Lw7ofyv@DnA0Hx%`2YX_ literal 0 HcmV?d00001 diff --git a/scripts/train_vae.py b/scripts/train_vae.py new file mode 100644 index 000000000..a3d0efeb5 --- /dev/null +++ b/scripts/train_vae.py @@ -0,0 +1,59 @@ +import os +import torch +import torch.nn as nn +import torch.optim as optim +from torch.utils.data import DataLoader +from load_dataset import train_loader, val_loader # your DataLoader from commit 1 +from vae_model import VAE + +# ----------------------------- +# Device +# ----------------------------- +device = torch.device("cuda" if torch.cuda.is_available() else "cpu") +print("Using device:", device) + +# ----------------------------- +# Model +# ----------------------------- +latent_dim = 16 +model = VAE(latent_dim=latent_dim).to(device) + +# ----------------------------- +# Loss function +# ----------------------------- +def vae_loss(recon_x, x, mu, logvar): + recon_loss = nn.functional.mse_loss(recon_x, x, reduction='sum') + kl_div = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp()) + return recon_loss + kl_div + +# ----------------------------- +# Optimizer +# ----------------------------- +optimizer = optim.Adam(model.parameters(), lr=1e-3) + +# ----------------------------- +# Training loop +# ----------------------------- +epochs = 5 # you can increase later + +for epoch in range(1, epochs+1): + model.train() + train_loss = 0 + for batch in train_loader: + batch = batch.to(device) + optimizer.zero_grad() + recon, mu, logvar = model(batch) + loss = vae_loss(recon, batch, mu, logvar) + loss.backward() + optimizer.step() + train_loss += loss.item() + + avg_train_loss = train_loss / len(train_loader.dataset) + print(f"Epoch {epoch}, Train Loss: {avg_train_loss:.4f}") + +# ----------------------------- +# Save model +# ----------------------------- +os.makedirs("../models", exist_ok=True) +torch.save(model.state_dict(), "../models/vae_model.pth") +print("Model saved to ../models/vae_model.pth") From d08113dde2836ba8e7f48c5d74d7f901f3ad39bf Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Fri, 19 Sep 2025 15:08:23 +1000 Subject: [PATCH 04/18] Add VAE visualization script to generate and display images from latent space --- scripts/vae_visualise.py | 36 ++++++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 scripts/vae_visualise.py diff --git a/scripts/vae_visualise.py b/scripts/vae_visualise.py new file mode 100644 index 000000000..4079ab471 --- /dev/null +++ b/scripts/vae_visualise.py @@ -0,0 +1,36 @@ +import os +import torch +import matplotlib.pyplot as plt +from vae_model import VAE + +# ----------------------------- +# Device +# ----------------------------- +device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + +# ----------------------------- +# Load trained model +# ----------------------------- +latent_dim = 16 # same as used in training +model = VAE(latent_dim=latent_dim).to(device) +model.load_state_dict(torch.load("../models/vae_model.pth", map_location=device)) +model.eval() + +# ----------------------------- +# Sample latent vectors +# ----------------------------- +num_samples = 16 +with torch.no_grad(): + z = torch.randn(num_samples, latent_dim).to(device) + generated = model.decoder(model.fc_decode(z)) + +# ----------------------------- +# Display generated images +# ----------------------------- +plt.figure(figsize=(8,8)) +for i in range(num_samples): + plt.subplot(4,4,i+1) + plt.imshow(generated[i].squeeze().cpu(), cmap='gray') + plt.axis('off') +plt.suptitle("Generated MRI Samples from VAE") +plt.show() From efec82e50ea01fce88f0bce25651082b4227085e Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Fri, 19 Sep 2025 17:03:57 +1000 Subject: [PATCH 05/18] Enhance VAE training script with validation, final reconstruction display, and optimized DataLoader --- .../__pycache__/load_dataset.cpython-312.pyc | Bin 4064 -> 5567 bytes scripts/__pycache__/vae_model.cpython-312.pyc | Bin 3324 -> 5504 bytes scripts/load_dataset.py | 80 ++++++++-- scripts/train_vae.py | 90 +++++++++-- scripts/vae_model.py | 145 ++++++++++++++++-- scripts/vae_visualise.py | 90 +++++++++-- 6 files changed, 354 insertions(+), 51 deletions(-) diff --git a/scripts/__pycache__/load_dataset.cpython-312.pyc b/scripts/__pycache__/load_dataset.cpython-312.pyc index c8aac05e47778012bf6e6cf6ccfe965474a03880..d8a97884272a722b028730550b637cf8ad48ebbe 100644 GIT binary patch delta 2947 zcma)8-ES0C6u)=BceT|yKoh+-Phv4Y_q)C0w!62zV@q=dj0 z(!<4w5-CQNsIZ6iSTU}|D?U=OMoC~4KtqT|77&fH$n_wPgpg9paG~9MUU@BK;O*k= zy7bzs9qtyKDqqLm7XPl)zXq&hCA9ba8qe-EJnL!fdf=rAxJyw5IBq4j|S{6Rgp4Q=~cE4ur`J)H z!PHKgrfIg3HqS%dz9z+{L}BDrDp-bXYyorOBdENsp=GhvFQ~F-j3?08=7+=R{8)%L zCsCN-T$P1elx1i;UB9@&52$Pcmnb7(&8)EY3Twwp*3EN)EKyH_Af2pRGT^E zfT>c=m?5e`$*9F&zxjo)LWo z!t5#pbDHo_Q9b;nXmTXIr)io1WHk8Z#U+r8Er#Mkl~5$ zaWXPEI50TSPo&LcOg%2Duas;sMu}sRDF$18n!)6yB`9?TT`#d@lH;cJ89A;wd196-|mb+je zE+K~Ca1{mXvJBbL2tl|i@(wYN{Y4F64bMLl zD|~g>&>W4+nN`W>11{RHf{1kxGxWf4Ds%T@Zaj33Q3cy$&Dj0bH@;K>=qZDOvi)RK z1yw;RKQH8^bx0b6H2<&rzjJ=oG%7d&EK_0vR#O{{oA684_BP7m_O7B#{ z#|4H-;1M{hINXeOjKKkDPHV?j`HbN>&@dWbsHg>YkIj zM(;-_C#jj6oV1$3Zng4DCtSWq!qG}|L(ISMucysT3+QPe9F9Gcli^|fXJ;Txp2h0I z4OZLDKcpQv(r3K^PB*&~Ut#rr4SYbH{(a{>Exz{IFjm@C4}Rrf@flV>?yK~UVIG9;*}7Zger z0~S%V?1#cRAf88Q-}-ns_;L_LU&NPSTdbguLcRO|*G#%gs{!X>ty$mtzHjff=kmO7 zsbs&3#|^;CTzY-+d2Gt=;0+aE8aQxL1r}tbN@@yINDHHkB1WrfO=DUu!XhEAR--kY z=_{OA&0r=01r7t(8o(o-Hba9|0GQ>0pBGnRPOi{G)<)Tz`p3;BXGp6hGfS;$(-oKg zp0)bcy_e$A8RaLjBgH-K6b{#=g1Nt8##Wgb$voKJ(^zF@74UN0^jwJqr-R7qY4q=I zGlwfjU#HUj0dYpj^yvPcUo|`~HR!MVd&OT$VM6!!w_)1cmcAFLRIvi;EYI}{vkBQ{ z#SqJ^!%88RU59lemg7l`8@-}*{2RnAnuz6iD#T0TGVR1F9ah~zHDUV0ZT9EPuFfBx z)@GiOp2KkZB)&^!^f3LSZM0dQ^~yYV3tRHd3q4GK^jEgw6}@sN;{FLduKXbHnC+Ca zuc&afpD&)5yCLwPq6W{?^echEKq!iMMZSS|%@*Va*mk5uyb_|tHE7>W(pwUv(W3+1 zxWqJgzz7GXaE&Vsf?peL08_b&QA29vopG!(GJN*x*)i|x+zb5(vEdwkoadBrdINgZ z<05J9m^)~eN!~)gvAY;Ek3{BLa|RD8A=eMXLp>+u7Y z6NplwXhHlJe}nL)#Cba#z(XzAcEqPdX-m^gJQ}(`)J$imcTVkm>by<&O#azSq$iDf z7ZU4v480MtJy||f?+AbmLD-Dp8MGL=0MKPH@n$TIp#k3%O&cL!ZK8F5i>R7Y@0xp( z+(*ccx%t#XGFsmnXu?GTi+B29?GnFM^@i%Func}1WB52=nG!2b*nxmaVvcbWyulajBu!gblK8uU=bv6z{+G{))B2ZyGz^dz)loac+W!}3mrGf6sq{>Im&V+Gx0Hg$@OnykWsm&u%Yi(jN_+ge(%I92IWx0Ezy>vJa4sAEx& z!@TYk>B%$Gbe5~SN$tF9QoW?kF?$q5U=#$UdCRnQ+p(!tpfDXC!YQf_%$3TV**3E! ze;L(H;H^?ab(rZ;yR7CJa zMKzFy>$4SfhJa~!{5fVa4%)K8tn=Z~XBVigmdb{1&QVl@C-q~Jfr~Ixoi$+XtObT_ zQzGo+i576jE}R{A0BesJ`b8FO6-Wan3T4-;o|z~JoChB>KtCY)N#)Z z0ksN8IURH%Xh>@qSEurRbosRybRHgr#xEgpFaimK&V41Y2*@G z9O`79ToH1qvm~2zMR3IG*Aj*DBo9XkxA$aknOAvHg+9G0aw_1y=;fC!!!r;>n4vD9 z5s@eQOXvV-Y&fQAmo1xl9G|)@F!3-gsTWa0xkE1@nASrqJ z%0P{pdw31%UkSH~;|*iwM07QBqmz);U`8NLDkR!2@wUx+Nj{|YznH=`QHyKBYQi6B zqn9_+VlUjajcPltF)i_b;0l+;cjSut-BQ96tp-}G5hc35+D_TKWf^p}R80u46j&AM z;eT2Mmh{WhSJeb9)wWk;nYLAt)FDUknGMg_voRXB!1n2oXB*`<7bocbyV`R*u8HsL zd)sk^4D&=U=?~Ao@!iJ$5dc}}$V$~4UYKGcnl^RFgoa*aUXH-DQo<|U4`if>NDuKj zdot?bl%LBLxOnIgT$$NPdNjO)!b_?>-EX{7+c@rIi`0!eW~bK_^&%y~EU zE=UBox|<5pp_`lmWTJ96QOGN$irWDn!=zemBI9*p%T#t?P)N}qeZfwAsv~I^EcnPmmavE9)#}hJ-4sk zy1JeuUERymOVc;iMsMT&rqCR3$*+7VXO@pG9lJigo(`vH8~Yk+v!{8eCBM4u^kCys zbD;TtOWwaR?J+;GbmIEV!@=I&Qa%2$ygor**nRuMTOT&&SESa?*I`WhvhT&aeRukr zZ>^kY^}PinnRS`$dC41_T$vBXzS-4>5`P1-%`D9{dKy1z$wQuipUeICT zjIXFI`QT<50s`KgXkJ5nz3DW>~nW|y5M^I1G!Q&ib!N+{3hDw!T3W&X=W`_Ye_;f6s zJUBd_^)Q}?NMOg(MvAG@AJI~U9`IMw*C;F7x?!2XrU(!&?9z|usUhSOohWK}Pzi8L z@bZX61bCeXz`q3y0;Wfth#+Twf{3_^C~R%NcZjSe2qiy-t60R4P%^c)~^ zi$h{Oi7-0=?m(F5xY7MRuj^N{|UPQ$aAEP4Jh2%8fx9O$Iqsv>goy%eIYJ%sU~c zNR-(G)>*X|^Uvn7p97u!1E?Sg?IYbgmh~mQAvOwk9;qKx0YOG&}H{u}t)h)NVFl4^T@tbhYf(xJ8|Ak!58Ar0>j$Roa2ZRUx5N7|o_(V9tmEO?h{ z;X@IL+sg>B-H6Wr7MZwmBoJbfZVkw%tP&(7QZxB8o6tLJ<5^?WYxy(jN&#+vW84+pj>QV?KN3~bAaa;c&k z!Awd~G%K$t9`5kffDdZ7D*#D(cwH(=R^WT_EEtLJcn9`?o>!qJZTM40J~!k49R%6kAIWy}H<802RBqZ&rl!fev73ZH#^CV2%o8}0@bH$K@bV=e z_J%x1Z?kox41Yp60BkX!eoOpQP$W(N(AVbM{2l0`QtVHldLRmd@NFz3#2->3bp4g= zT#p}*3481Nma|LQb%N~&xj2c-_39tRzQ4)cjfwkm|Kija>F4W-<<6zfn}=>*0)RH# zN)Id^`Zh`W`Wxz}>3i{=i&OQ9`ehhNNcGXiz}@|K_TP{1`%ApzGl@1|`OSe}AGjYM Y^|~)LX73j76#o?8|6mu1@A0Jm54=$~^Z)<= delta 898 zcmZva-%C?b9Kg@HKel`4*`3=Q?%LX#rn%H`vXXo-4Ae9eL=d`YvN{u;rsTjf8u}o3 zm%<$9!7CBo@S%Y|1itkz)XTbsS_TFE0a6wc2A%6zD)fE$p6}1k_k0g$w&qZl-q`In zKxO{R+u_%ijO3jufdDK63@{u6O8$iR8HIs>0qp=Ya{#k3CT=miPRlx*_Z2S2V{Wt> zfJw}N7>D@{%Q~f+qF87I#HGAHJ zRqzNZmR=CzKeBx-t(!^yIm>~N*iAOX$mUmZ0M76fmAFiIIhX~zf_?GcQY0q?-wPGr zO6BEbCb^5GbVsUVDXO`&9v$jo167)__Eh^qM>_(!Vk~ojgSZc9R}QqW+xu7!6d> zw~*ZFk<^IBYC|i?kSbM{Mz$n>PND-1sX}G99ZvGwG0r^!ah_zXZZcSGvvNt6`qm?V zt@t+OF1d#LD^2d5Bks23N{^++wD7_NMR??8C8Ovp8PxI1@fYK-dX1{9YMaVzqv9Yb%-gA8&CeYhoMA9OC}=MXxjX}iFvB_SP0=KfIb7yK34?;YI!=83he`G?)5>yA@%V) nR^B0{o`8GDdsd4+6LOqqwpDFVr*=4z-11x$?SLzr3{u!%-h=u9 diff --git a/scripts/load_dataset.py b/scripts/load_dataset.py index 970037ab6..048d28dc3 100644 --- a/scripts/load_dataset.py +++ b/scripts/load_dataset.py @@ -1,3 +1,17 @@ +""" +MRI Dataset Loading and Preprocessing Module + +PURPOSE: This file handles the loading and preprocessing of MRI brain scan images for training a VAE. +It creates a custom PyTorch Dataset class that can load PNG images from directories, apply +transforms (resizing, normalization), and create DataLoaders for efficient batch processing. + +WHY IT'S NEEDED: +- Raw MRI images need to be preprocessed (resized to consistent dimensions, normalized) +- PyTorch requires a custom Dataset class to work with our file structure +- DataLoaders enable efficient batch processing during training +- Visualisation helps verify the data is loaded correctly +""" + import os from PIL import Image import torch @@ -6,70 +20,112 @@ import matplotlib.pyplot as plt # ----------------------------- -# Dataset Class +# Custom Dataset Class for MRI Images # ----------------------------- class MRIDataset(Dataset): + """ + Custom PyTorch Dataset class for loading MRI brain scan images. + + This class inherits from PyTorch's Dataset and implements the required methods + to load PNG images from a directory, apply transforms, and return them as tensors. + """ + def __init__(self, folder, transform=None): + """ + Initialize the dataset with a folder containing PNG images. + + Args: + folder (str): Path to directory containing PNG images + transform (callable, optional): Transform to apply to each image + """ self.folder = folder self.transform = transform + # Get all PNG files from the folder and sort them for consistent ordering self.images = sorted([os.path.join(folder, f) for f in os.listdir(folder) if f.endswith(".png")]) + + # Ensure we have images to work with if len(self.images) == 0: raise ValueError(f"No PNG images found in folder: {folder}") def __len__(self): + """Return the number of images in the dataset.""" return len(self.images) def __getitem__(self, idx): - img = Image.open(self.images[idx]).convert('L') # grayscale + """ + Load and return a single image at the given index. + + Args: + idx (int): Index of the image to load + + Returns: + torch.Tensor: Preprocessed image tensor + """ + # Load image and convert to grayscale (single channel) + img = Image.open(self.images[idx]).convert('L') # 'L' mode = grayscale + + # Apply transforms if provided (resize, normalize, etc.) if self.transform: img = self.transform(img) return img # ----------------------------- -# Resolve paths relative to script +# Data Path Configuration # ----------------------------- +# Get the directory where this script is located script_dir = os.path.dirname(os.path.abspath(__file__)) # folder of this script + +# Navigate to the data directory (two levels up from scripts folder) data_base = os.path.abspath(os.path.join(script_dir, "../../keras_png_slices_data")) +# Define paths to train, validation, and test data folders train_folder = os.path.join(data_base, "keras_png_slices_train") validate_folder = os.path.join(data_base, "keras_png_slices_validate") test_folder = os.path.join(data_base, "keras_png_slices_test") +# Verify the data paths exist print("Train folder:", train_folder) print("Exists?", os.path.exists(train_folder)) # ----------------------------- -# Transforms +# Image Preprocessing Pipeline # ----------------------------- transform = transforms.Compose([ - transforms.Resize((64,64)), - transforms.ToTensor(), - transforms.Normalize((0.5,), (0.5,)) + transforms.Resize((64,64)), # Resize all images to 64x64 pixels for consistency + transforms.ToTensor(), # Convert PIL image to PyTorch tensor (0-1 range) + transforms.Normalize((0.5,), (0.5,)) # Normalize to [-1, 1] range (better for VAE training) ]) # ----------------------------- -# Load Datasets +# Dataset Creation # ----------------------------- +# Create dataset objects for train, validation, and test sets train_dataset = MRIDataset(train_folder, transform=transform) val_dataset = MRIDataset(validate_folder, transform=transform) test_dataset = MRIDataset(test_folder, transform=transform) +# Display dataset sizes print(f"Training samples: {len(train_dataset)}") print(f"Validation samples: {len(val_dataset)}") print(f"Test samples: {len(test_dataset)}") # ----------------------------- -# Quick Visualization +# Data Visualization # ----------------------------- +# Display a sample of training images to verify data loading plt.figure(figsize=(8,8)) for i in range(4): plt.subplot(2,2,i+1) + # .squeeze() removes the channel dimension for display (1,64,64) -> (64,64) plt.imshow(train_dataset[i].squeeze(), cmap='gray') plt.axis('off') plt.show() # ----------------------------- -# Create DataLoaders (for next commit) +# DataLoader Creation # ----------------------------- -train_loader = DataLoader(train_dataset, batch_size=16, shuffle=True) -val_loader = DataLoader(val_dataset, batch_size=16, shuffle=False) +# Create DataLoaders for efficient batch processing during training +# DataLoaders handle batching, shuffling, and parallel data loading +train_loader = DataLoader(train_dataset, batch_size=16, shuffle=True) # Shuffle for training +val_loader = DataLoader(val_dataset, batch_size=16, shuffle=False) # No shuffle for validation +test_loader = DataLoader(test_dataset, batch_size=16, shuffle=False) diff --git a/scripts/train_vae.py b/scripts/train_vae.py index a3d0efeb5..acd91854f 100644 --- a/scripts/train_vae.py +++ b/scripts/train_vae.py @@ -1,25 +1,35 @@ +""" +VAE Training Script with Validation and Reconstruction Visualization + +PURPOSE: +- Trains a Variational Autoencoder on MRI brain scans +- Tracks training, validation, and test loss +- Visualizes reconstructed images for qualitative evaluation +- Saves model weights after training +""" + import os import torch import torch.nn as nn import torch.optim as optim -from torch.utils.data import DataLoader -from load_dataset import train_loader, val_loader # your DataLoader from commit 1 +import matplotlib.pyplot as plt +from load_dataset import train_loader, val_loader, test_loader # import all loaders from vae_model import VAE # ----------------------------- -# Device +# Device Configuration # ----------------------------- -device = torch.device("cuda" if torch.cuda.is_available() else "cpu") +device = torch.device("mps" if torch.backends.mps.is_available() else "cpu") print("Using device:", device) # ----------------------------- -# Model +# Model Initialization # ----------------------------- latent_dim = 16 model = VAE(latent_dim=latent_dim).to(device) # ----------------------------- -# Loss function +# VAE Loss Function # ----------------------------- def vae_loss(recon_x, x, mu, logvar): recon_loss = nn.functional.mse_loss(recon_x, x, reduction='sum') @@ -27,18 +37,22 @@ def vae_loss(recon_x, x, mu, logvar): return recon_loss + kl_div # ----------------------------- -# Optimizer +# Optimizer Setup # ----------------------------- optimizer = optim.Adam(model.parameters(), lr=1e-3) # ----------------------------- -# Training loop +# Training Parameters # ----------------------------- -epochs = 5 # you can increase later +epochs = 25 +# ----------------------------- +# Training Loop +# ----------------------------- for epoch in range(1, epochs+1): model.train() train_loss = 0 + for batch in train_loader: batch = batch.to(device) optimizer.zero_grad() @@ -49,11 +63,61 @@ def vae_loss(recon_x, x, mu, logvar): train_loss += loss.item() avg_train_loss = train_loss / len(train_loader.dataset) - print(f"Epoch {epoch}, Train Loss: {avg_train_loss:.4f}") + + # ----------------------------- + # Validation Loop + # ----------------------------- + model.eval() + val_loss = 0 + with torch.no_grad(): + for batch in val_loader: + batch = batch.to(device) + recon, mu, logvar = model(batch) + loss = vae_loss(recon, batch, mu, logvar) + val_loss += loss.item() + avg_val_loss = val_loss / len(val_loader.dataset) + + print(f"Epoch {epoch}/{epochs} | Train Loss: {avg_train_loss:.4f} | Val Loss: {avg_val_loss:.4f}") # ----------------------------- -# Save model +# Save Model # ----------------------------- os.makedirs("../models", exist_ok=True) -torch.save(model.state_dict(), "../models/vae_model.pth") -print("Model saved to ../models/vae_model.pth") +model_path = "../models/vae_model.pth" +torch.save(model.state_dict(), model_path) +print(f"Model saved to {model_path}") + +# ----------------------------- +# Final Test Evaluation +# ----------------------------- +model.eval() +test_loss = 0 +with torch.no_grad(): + for batch in test_loader: + batch = batch.to(device) + recon, mu, logvar = model(batch) + loss = vae_loss(recon, batch, mu, logvar) + test_loss += loss.item() + +avg_test_loss = test_loss / len(test_loader.dataset) +print(f"Final Test Loss: {avg_test_loss:.4f}") + +# ----------------------------- +# Final Visualization (after training) +# ----------------------------- +with torch.no_grad(): + sample_batch = next(iter(test_loader)).to(device) + recon_batch, _, _ = model(sample_batch) + plt.figure(figsize=(8,4)) + for i in range(4): + # Original + plt.subplot(2,4,i+1) + plt.imshow(sample_batch[i].cpu().squeeze(), cmap='gray') + plt.title("Original") + plt.axis('off') + # Reconstructed + plt.subplot(2,4,i+5) + plt.imshow(recon_batch[i].cpu().squeeze(), cmap='gray') + plt.title("Reconstructed") + plt.axis('off') + plt.show() diff --git a/scripts/vae_model.py b/scripts/vae_model.py index 48245cb4b..6d3db916a 100644 --- a/scripts/vae_model.py +++ b/scripts/vae_model.py @@ -1,53 +1,172 @@ +""" +Variational Autoencoder (VAE) Model Architecture + +PURPOSE: This file defines the neural network architecture for a Variational Autoencoder (VAE) +designed to work with MRI brain scan images. The VAE consists of an encoder that compresses +images into a latent space representation, and a decoder that reconstructs images from +latent vectors. + +WHY IT'S NEEDED: +- VAE learns a probabilistic representation of the data in a lower-dimensional latent space +- The encoder maps images to mean and variance parameters of a Gaussian distribution +- The decoder generates new images by sampling from the latent space +- This enables both reconstruction and generation of new MRI-like images +- The reparameterization trick allows for differentiable sampling during training +""" + import torch import torch.nn as nn class VAE(nn.Module): + """ + Variational Autoencoder for MRI brain scan images. + + This VAE architecture uses convolutional layers for the encoder and transpose + convolutional layers for the decoder, making it well-suited for image data. + """ + def __init__(self, latent_dim=16): + """ + Initialize the VAE model. + + Args: + latent_dim (int): Dimension of the latent space representation + """ super(VAE, self).__init__() - # Encoder + + # ----------------------------- + # Encoder Network + # ----------------------------- + # The encoder compresses 64x64 grayscale images into latent representations + # Each conv layer reduces spatial dimensions by half while increasing channels self.encoder = nn.Sequential( - nn.Conv2d(1, 32, 4, 2, 1), # 64x64 -> 32x32 + # Input: 1 channel (grayscale), Output: 32 channels + # Kernel size 4, stride 2, padding 1: 64x64 -> 32x32 + nn.Conv2d(1, 32, 4, 2, 1), nn.ReLU(), - nn.Conv2d(32, 64, 4, 2, 1), # 32x32 -> 16x16 + + # Input: 32 channels, Output: 64 channels + # 32x32 -> 16x16 + nn.Conv2d(32, 64, 4, 2, 1), nn.ReLU(), - nn.Conv2d(64, 128, 4, 2, 1), # 16x16 -> 8x8 + + # Input: 64 channels, Output: 128 channels + # 16x16 -> 8x8 + nn.Conv2d(64, 128, 4, 2, 1), nn.ReLU(), + + # Flatten the 128x8x8 feature map into a vector nn.Flatten() ) - self.fc_mu = nn.Linear(128*8*8, latent_dim) - self.fc_logvar = nn.Linear(128*8*8, latent_dim) + + # ----------------------------- + # Latent Space Mapping + # ----------------------------- + # Map the flattened features to mean and log-variance of Gaussian distribution + # This is the key difference from regular autoencoders - we learn a distribution + self.fc_mu = nn.Linear(128*8*8, latent_dim) # Mean of latent distribution + self.fc_logvar = nn.Linear(128*8*8, latent_dim) # Log-variance of latent distribution - # Decoder - self.fc_decode = nn.Linear(latent_dim, 128*8*8) + # ----------------------------- + # Decoder Network + # ----------------------------- + # The decoder reconstructs images from latent vectors + self.fc_decode = nn.Linear(latent_dim, 128*8*8) # Expand latent vector back to feature map size + self.decoder = nn.Sequential( + # Reshape the vector back to 128x8x8 feature map nn.Unflatten(1, (128, 8, 8)), - nn.ConvTranspose2d(128, 64, 4, 2, 1), # 8->16 + + # Transpose convolutions to upsample and reduce channels + # 8x8 -> 16x16, 128 channels -> 64 channels + nn.ConvTranspose2d(128, 64, 4, 2, 1), nn.ReLU(), - nn.ConvTranspose2d(64, 32, 4, 2, 1), # 16->32 + + # 16x16 -> 32x32, 64 channels -> 32 channels + nn.ConvTranspose2d(64, 32, 4, 2, 1), nn.ReLU(), - nn.ConvTranspose2d(32, 1, 4, 2, 1), # 32->64 + + # 32x32 -> 64x64, 32 channels -> 1 channel (grayscale) + nn.ConvTranspose2d(32, 1, 4, 2, 1), + + # Tanh activation outputs values in [-1, 1] range (matching our normalization) nn.Tanh() ) def reparameterize(self, mu, logvar): + """ + Reparameterization trick for VAE training. + + Instead of sampling directly from N(mu, sigma), we sample from N(0,1) and transform: + z = mu + sigma * epsilon, where epsilon ~ N(0,1) + + This makes the sampling process differentiable, allowing gradients to flow through. + + Args: + mu (torch.Tensor): Mean of the latent distribution + logvar (torch.Tensor): Log-variance of the latent distribution + + Returns: + torch.Tensor: Sampled latent vector + """ + # Convert log-variance to standard deviation std = torch.exp(0.5 * logvar) + + # Sample random noise from standard normal distribution eps = torch.randn_like(std) + + # Apply reparameterization: z = mu + std * epsilon return mu + eps * std def forward(self, x): + """ + Forward pass through the VAE. + + Args: + x (torch.Tensor): Input images of shape (batch_size, 1, 64, 64) + + Returns: + tuple: (reconstructed_images, mu, logvar) + - reconstructed_images: Generated images + - mu: Mean of latent distribution + - logvar: Log-variance of latent distribution + """ + # ----------------------------- + # Encoding: Image -> Latent Distribution + # ----------------------------- + # Pass through encoder to get feature representation enc = self.encoder(x) - mu, logvar = self.fc_mu(enc), self.fc_logvar(enc) + + # Map features to latent distribution parameters + mu = self.fc_mu(enc) # Mean of latent Gaussian + logvar = self.fc_logvar(enc) # Log-variance of latent Gaussian + + # ----------------------------- + # Sampling: Latent Distribution -> Latent Vector + # ----------------------------- + # Sample from the learned distribution using reparameterization trick z = self.reparameterize(mu, logvar) + + # ----------------------------- + # Decoding: Latent Vector -> Reconstructed Image + # ----------------------------- + # Expand latent vector and pass through decoder out = self.decoder(self.fc_decode(z)) + return out, mu, logvar # ----------------------------- -# Quick test +# Model Testing and Verification # ----------------------------- if __name__ == "__main__": + # Test the model with random input to verify architecture model = VAE(latent_dim=16) x = torch.randn(2, 1, 64, 64) # batch of 2 grayscale images + + # Forward pass recon, mu, logvar = model(x) + + # Print shapes to verify everything works correctly print("Input shape:", x.shape) print("Reconstructed shape:", recon.shape) print("Latent mu shape:", mu.shape) diff --git a/scripts/vae_visualise.py b/scripts/vae_visualise.py index 4079ab471..c5cdcbf17 100644 --- a/scripts/vae_visualise.py +++ b/scripts/vae_visualise.py @@ -1,36 +1,100 @@ +""" +VAE Visualization and Generation Script + +PURPOSE: This script loads a trained VAE model and generates new MRI-like images by sampling +from the learned latent space. It demonstrates the generative capabilities of the VAE by +creating synthetic brain scan images that follow the patterns learned during training. + +WHY IT'S NEEDED: +- Demonstrates the generative power of the trained VAE model +- Shows how the model learned to map random noise to realistic MRI images +- Provides visual verification that training was successful +- Generates new synthetic data that could be used for data augmentation +- Illustrates the continuous nature of the learned latent space +""" + import os import torch import matplotlib.pyplot as plt -from vae_model import VAE +from vae_model import VAE # Import our VAE model architecture # ----------------------------- -# Device +# Device Configuration # ----------------------------- +# Use the same device configuration as training (GPU if available) device = torch.device("cuda" if torch.cuda.is_available() else "cpu") +print(f"Using device: {device}") # ----------------------------- -# Load trained model +# Model Loading # ----------------------------- -latent_dim = 16 # same as used in training +# Initialize the VAE model with the same architecture as training +latent_dim = 16 # Must match the latent dimension used during training model = VAE(latent_dim=latent_dim).to(device) -model.load_state_dict(torch.load("../models/vae_model.pth", map_location=device)) + +# Load the trained model weights from the saved checkpoint +model_path = "../models/vae_model.pth" +if os.path.exists(model_path): + model.load_state_dict(torch.load(model_path, map_location=device)) + print(f"Successfully loaded model from {model_path}") +else: + print(f"Error: Model file not found at {model_path}") + print("Please run train_vae.py first to train and save the model.") + exit(1) + +# Set model to evaluation mode (disables dropout, batch norm uses running stats) model.eval() # ----------------------------- -# Sample latent vectors +# Image Generation # ----------------------------- +# Number of images to generate num_samples = 16 -with torch.no_grad(): + +print(f"Generating {num_samples} new MRI images...") + +# Generate new images by sampling from the latent space +with torch.no_grad(): # Disable gradient computation for inference + # Sample random latent vectors from standard normal distribution N(0,1) + # This is the key insight: we can generate new images by sampling from the + # learned latent space distribution z = torch.randn(num_samples, latent_dim).to(device) + + # Pass the random latent vectors through the decoder to generate images + # We bypass the encoder and directly use the decoder part of the VAE generated = model.decoder(model.fc_decode(z)) +print("Image generation completed!") + # ----------------------------- -# Display generated images +# Visualization # ----------------------------- -plt.figure(figsize=(8,8)) +# Create a grid layout to display all generated images +plt.figure(figsize=(8, 8)) +plt.suptitle("Generated MRI Samples from VAE", fontsize=16, fontweight='bold') + +# Display each generated image in a 4x4 grid for i in range(num_samples): - plt.subplot(4,4,i+1) - plt.imshow(generated[i].squeeze().cpu(), cmap='gray') - plt.axis('off') -plt.suptitle("Generated MRI Samples from VAE") + plt.subplot(4, 4, i + 1) + + # Convert tensor to numpy and remove channel dimension for display + # .squeeze() removes the channel dimension: (1, 64, 64) -> (64, 64) + # .cpu() moves tensor from GPU to CPU for matplotlib + img = generated[i].squeeze().cpu() + + # Display the image in grayscale + plt.imshow(img, cmap='gray') + plt.axis('off') # Remove axes for cleaner display + +# Adjust layout to prevent overlapping +plt.tight_layout() + +# Show the plot plt.show() + +print("Visualization completed!") +print("\nWhat you're seeing:") +print("- Each image is generated from a random 16-dimensional vector") +print("- The VAE learned to map these random vectors to realistic MRI-like images") +print("- The diversity shows the model learned a rich representation of brain anatomy") +print("- These are completely synthetic images, not reconstructions of training data") From 988341abc62a787a1701821704959ef0eda29242 Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Fri, 19 Sep 2025 17:10:19 +1000 Subject: [PATCH 06/18] Add epoch vs loss graph and final reconstruction visualization to VAE training script --- scripts/train_vae.py | 22 +++++++++++++++++++++- 1 file changed, 21 insertions(+), 1 deletion(-) diff --git a/scripts/train_vae.py b/scripts/train_vae.py index acd91854f..0753e1630 100644 --- a/scripts/train_vae.py +++ b/scripts/train_vae.py @@ -44,7 +44,13 @@ def vae_loss(recon_x, x, mu, logvar): # ----------------------------- # Training Parameters # ----------------------------- -epochs = 25 +epochs = 15 + +# ----------------------------- +# Initialize lists to store losses +# ----------------------------- +train_losses = [] +val_losses = [] # ----------------------------- # Training Loop @@ -63,6 +69,7 @@ def vae_loss(recon_x, x, mu, logvar): train_loss += loss.item() avg_train_loss = train_loss / len(train_loader.dataset) + train_losses.append(avg_train_loss) # ----------------------------- # Validation Loop @@ -76,9 +83,22 @@ def vae_loss(recon_x, x, mu, logvar): loss = vae_loss(recon, batch, mu, logvar) val_loss += loss.item() avg_val_loss = val_loss / len(val_loader.dataset) + val_losses.append(avg_val_loss) print(f"Epoch {epoch}/{epochs} | Train Loss: {avg_train_loss:.4f} | Val Loss: {avg_val_loss:.4f}") +# ----------------------------- +# Plot Epoch vs Loss +# ----------------------------- +plt.figure(figsize=(8,5)) +plt.plot(range(1, epochs+1), train_losses, label='Train Loss') +plt.plot(range(1, epochs+1), val_losses, label='Validation Loss') +plt.xlabel("Epoch") +plt.ylabel("Loss") +plt.title("VAE Training and Validation Loss per Epoch") +plt.legend() +plt.show() + # ----------------------------- # Save Model # ----------------------------- From 4b134b8b043e4584a4720a7dcc0e78b434475587 Mon Sep 17 00:00:00 2001 From: s4802308 Date: Wed, 29 Oct 2025 11:11:35 +1000 Subject: [PATCH 07/18] Add OASIS Improved UNet initial files --- recognition/OASIS-ImprovedUNet/README.md | 0 recognition/OASIS-ImprovedUNet/dataset.py | 0 recognition/OASIS-ImprovedUNet/modules.py | 0 recognition/OASIS-ImprovedUNet/predict.py | 0 recognition/OASIS-ImprovedUNet/train.py | 0 5 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 recognition/OASIS-ImprovedUNet/README.md create mode 100644 recognition/OASIS-ImprovedUNet/dataset.py create mode 100644 recognition/OASIS-ImprovedUNet/modules.py create mode 100644 recognition/OASIS-ImprovedUNet/predict.py create mode 100644 recognition/OASIS-ImprovedUNet/train.py diff --git a/recognition/OASIS-ImprovedUNet/README.md b/recognition/OASIS-ImprovedUNet/README.md new file mode 100644 index 000000000..e69de29bb diff --git a/recognition/OASIS-ImprovedUNet/dataset.py b/recognition/OASIS-ImprovedUNet/dataset.py new file mode 100644 index 000000000..e69de29bb diff --git a/recognition/OASIS-ImprovedUNet/modules.py b/recognition/OASIS-ImprovedUNet/modules.py new file mode 100644 index 000000000..e69de29bb diff --git a/recognition/OASIS-ImprovedUNet/predict.py b/recognition/OASIS-ImprovedUNet/predict.py new file mode 100644 index 000000000..e69de29bb diff --git a/recognition/OASIS-ImprovedUNet/train.py b/recognition/OASIS-ImprovedUNet/train.py new file mode 100644 index 000000000..e69de29bb From 020106a1eb40d9f72a50d43096e398da20120562 Mon Sep 17 00:00:00 2001 From: s4802308 Date: Wed, 29 Oct 2025 12:46:16 +1000 Subject: [PATCH 08/18] Implemented basic OASIS dataset sorting and loading. --- recognition/OASIS-ImprovedUNet/dataset.py | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/recognition/OASIS-ImprovedUNet/dataset.py b/recognition/OASIS-ImprovedUNet/dataset.py index e69de29bb..7435b4cc9 100644 --- a/recognition/OASIS-ImprovedUNet/dataset.py +++ b/recognition/OASIS-ImprovedUNet/dataset.py @@ -0,0 +1,20 @@ +import numpy as np +import glob +import imageio + +def load_oasis_data(image_dir, label_dir): + # Sort image and label files to ensure corresponding order + image_files = sorted(glob.glob(f"{image_dir}/*.nii.png")) + label_files = sorted(glob.glob(f"{label_dir}/*.nii.png")) + + images = [] + labels = [] + for img_file, lbl_file in zip(image_files, label_files): + image = imageio.imread(img_file) + label = imageio.imread(lbl_file) + images.append(image) + labels.append(label) + + images = np.stack(images, axis=0) + labels = np.stack(labels, axis=0) + return images, labels From 9bbc00d812c232b6ffdc9469d48dd9e3a5b6e97f Mon Sep 17 00:00:00 2001 From: s4802308 Date: Wed, 29 Oct 2025 15:36:09 +1000 Subject: [PATCH 09/18] Updated modules.py to feature a basic improved UNet in PyTorch. --- recognition/OASIS-ImprovedUNet/modules.py | 95 +++++++++++++++++++++++ 1 file changed, 95 insertions(+) diff --git a/recognition/OASIS-ImprovedUNet/modules.py b/recognition/OASIS-ImprovedUNet/modules.py index e69de29bb..9a31b6b94 100644 --- a/recognition/OASIS-ImprovedUNet/modules.py +++ b/recognition/OASIS-ImprovedUNet/modules.py @@ -0,0 +1,95 @@ +import torch +import torch.nn as nn + +class DoubleConv(nn.Module): + """(Conv => BN => ReLU) * 2""" + def __init__(self, in_channels, out_channels, mid_channels=None, dropout=0.2): + super().__init__() + if not mid_channels: + mid_channels = out_channels + self.double_conv = nn.Sequential( + nn.Conv2d(in_channels, mid_channels, kernel_size=3, padding=1), + nn.BatchNorm2d(mid_channels), + nn.ReLU(inplace=True), + nn.Dropout(dropout), + nn.Conv2d(mid_channels, out_channels, kernel_size=3, padding=1), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True), + nn.Dropout(dropout) + ) + + def forward(self, x): + return self.double_conv(x) + +class Down(nn.Module): + """Downscaling with maxpool then double conv""" + def __init__(self, in_channels, out_channels, dropout=0.2): + super().__init__() + self.maxpool_conv = nn.Sequential( + nn.MaxPool2d(2), + DoubleConv(in_channels, out_channels, dropout=dropout) + ) + + def forward(self, x): + return self.maxpool_conv(x) + +class Up(nn.Module): + """Upscaling then double conv""" + def __init__(self, in_channels, out_channels, bilinear=True, dropout=0.2): + super().__init__() + if bilinear: + self.up = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True) + self.conv = DoubleConv(in_channels, out_channels, in_channels // 2, dropout=dropout) + else: + self.up = nn.ConvTranspose2d(in_channels , in_channels // 2, kernel_size=2, stride=2) + self.conv = DoubleConv(in_channels, out_channels, dropout=dropout) + + def forward(self, x1, x2): + x1 = self.up(x1) + # Pad x1 if necessary to match x2's size + diffY = x2.size()[2] - x1.size()[2] + diffX = x2.size()[3] - x1.size()[3] + x1 = nn.functional.pad(x1, [diffX // 2, diffX - diffX // 2, + diffY // 2, diffY - diffY // 2]) + x = torch.cat([x2, x1], dim=1) + return self.conv(x) + +class OutConv(nn.Module): + def __init__(self, in_channels, out_channels): + super().__init__() + self.conv = nn.Conv2d(in_channels, out_channels, kernel_size=1) + + def forward(self, x): + return self.conv(x) + +class ImprovedUNet(nn.Module): + def __init__(self, n_channels, n_classes, bilinear=True, dropout=0.2): + super().__init__() + self.n_channels = n_channels + self.n_classes = n_classes + self.bilinear = bilinear + + self.inc = DoubleConv(n_channels, 64, dropout=dropout) + self.down1 = Down(64, 128, dropout=dropout) + self.down2 = Down(128, 256, dropout=dropout) + self.down3 = Down(256, 512, dropout=dropout) + factor = 2 if bilinear else 1 + self.down4 = Down(512, 1024 // factor, dropout=dropout) + self.up1 = Up(1024, 512 // factor, bilinear, dropout=dropout) + self.up2 = Up(512, 256 // factor, bilinear, dropout=dropout) + self.up3 = Up(256, 128 // factor, bilinear, dropout=dropout) + self.up4 = Up(128, 64, bilinear, dropout=dropout) + self.outc = OutConv(64, n_classes) + + def forward(self, x): + x1 = self.inc(x) + x2 = self.down1(x1) + x3 = self.down2(x2) + x4 = self.down3(x3) + x5 = self.down4(x4) + x = self.up1(x5, x4) + x = self.up2(x, x3) + x = self.up3(x, x2) + x = self.up4(x, x1) + logits = self.outc(x) + return logits From cafbe1a106fde6846c5e9c5ef0c88958be0fa7b6 Mon Sep 17 00:00:00 2001 From: s4802308 Date: Wed, 29 Oct 2025 15:40:42 +1000 Subject: [PATCH 10/18] Set up train.py script for training with UNet model, data loader, loss, optimiser, and includes basic training and validation loops. --- recognition/OASIS-ImprovedUNet/train.py | 83 +++++++++++++++++++++++++ 1 file changed, 83 insertions(+) diff --git a/recognition/OASIS-ImprovedUNet/train.py b/recognition/OASIS-ImprovedUNet/train.py index e69de29bb..82a2e4413 100644 --- a/recognition/OASIS-ImprovedUNet/train.py +++ b/recognition/OASIS-ImprovedUNet/train.py @@ -0,0 +1,83 @@ +import torch +import torch.nn as nn +import torch.optim as optim +from torch.utils.data import Dataset, DataLoader +import matplotlib.pyplot as plt +from modules import ImprovedUNet +from dataset import load_oasis_data + +# CONFIG +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +BATCH_SIZE = 8 +EPOCHS = 15 +LR = 1e-3 + +# Data loading: update paths as needed +train_images, train_labels = load_oasis_data( + '/home/groups/comp3710/OASIS/keras_png_slices_train', + '/home/groups/comp3710/OASIS/keras_png_slices_seg_train' +) +val_images, val_labels = load_oasis_data( + '/home/groups/comp3710/OASIS/keras_png_slices_validate', + '/home/groups/comp3710/OASIS/keras_png_slices_seg_validate' +) + +class OasisDataset(Dataset): + def __init__(self, images, labels): + self.images = torch.tensor(images, dtype=torch.float32).unsqueeze(1)/255.0 + self.labels = torch.tensor(labels, dtype=torch.float32).unsqueeze(1)/255.0 + + def __len__(self): + return self.images.shape[0] + + def __getitem__(self, idx): + return self.images[idx], self.labels[idx] + +train_ds = OasisDataset(train_images, train_labels) +val_ds = OasisDataset(val_images, val_labels) +train_dl = DataLoader(train_ds, batch_size=BATCH_SIZE, shuffle=True) +val_dl = DataLoader(val_ds, batch_size=BATCH_SIZE, shuffle=False) + +model = ImprovedUNet(n_channels=1, n_classes=1).to(device) +loss_fn = nn.BCEWithLogitsLoss() +optimizer = optim.Adam(model.parameters(), lr=LR) + +train_losses, val_losses = [], [] + +for epoch in range(EPOCHS): + model.train() + running_loss = 0.0 + for imgs, masks in train_dl: + imgs, masks = imgs.to(device), masks.to(device) + optimizer.zero_grad() + outputs = model(imgs) + loss = loss_fn(outputs, masks) + loss.backward() + optimizer.step() + running_loss += loss.item() * imgs.size(0) + avg_train_loss = running_loss / len(train_dl.dataset) + train_losses.append(avg_train_loss) + + model.eval() + running_vloss = 0.0 + with torch.no_grad(): + for vimgs, vmasks in val_dl: + vimgs, vmasks = vimgs.to(device), vmasks.to(device) + voutputs = model(vimgs) + vloss = loss_fn(voutputs, vmasks) + running_vloss += vloss.item() * vimgs.size(0) + avg_val_loss = running_vloss / len(val_dl.dataset) + val_losses.append(avg_val_loss) + print(f'Epoch {epoch+1}, Train Loss: {avg_train_loss:.4f}, Val Loss: {avg_val_loss:.4f}') + + # Save checkpoint + torch.save(model.state_dict(), f"unet_epoch{epoch+1}.pth") + +# Plot losses +plt.plot(train_losses, label='Train') +plt.plot(val_losses, label='Val') +plt.xlabel('Epoch') +plt.ylabel('Loss') +plt.legend() +plt.savefig('loss_plot.png') +plt.show() From abd8f7fcfe98e05cdf8d81335fc85525d5fa19cf Mon Sep 17 00:00:00 2001 From: s4802308 Date: Wed, 29 Oct 2025 15:43:08 +1000 Subject: [PATCH 11/18] Implemented predict.py to run inference with the trained model and visualise outputs. --- recognition/OASIS-ImprovedUNet/predict.py | 31 +++++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/recognition/OASIS-ImprovedUNet/predict.py b/recognition/OASIS-ImprovedUNet/predict.py index e69de29bb..db665eb0e 100644 --- a/recognition/OASIS-ImprovedUNet/predict.py +++ b/recognition/OASIS-ImprovedUNet/predict.py @@ -0,0 +1,31 @@ +import torch +import matplotlib.pyplot as plt +from modules import ImprovedUNet +from dataset import load_oasis_data + +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +model = ImprovedUNet(n_channels=1, n_classes=1).to(device) +model.load_state_dict(torch.load('unet_epoch15.pth', map_location=device)) +model.eval() + +test_images, test_labels = load_oasis_data( + '/home/groups/comp3710/OASIS/keras_png_slices_test', + '/home/groups/comp3710/OASIS/keras_png_slices_seg_test' +) + +images_tensor = torch.tensor(test_images, dtype=torch.float32).unsqueeze(1)/255.0 +labels_tensor = torch.tensor(test_labels, dtype=torch.float32).unsqueeze(1)/255.0 + +with torch.no_grad(): + preds = model(images_tensor.to(device)).cpu() + preds = torch.sigmoid(preds) > 0.5 + +for i in range(3): # Show 3 sample predictions + fig, axs = plt.subplots(1, 3, figsize=(12, 4)) + axs[0].imshow(test_images[i], cmap='gray') + axs[0].set_title('Input') + axs[1].imshow(test_labels[i], cmap='gray') + axs[1].set_title('Ground Truth') + axs[2].imshow(preds[i][0], cmap='gray') + axs[2].set_title('Prediction') + plt.show() From e53bb3ab9902a5d71adf63a48777d5be22d1f689 Mon Sep 17 00:00:00 2001 From: s4802308 Date: Fri, 31 Oct 2025 12:59:08 +1000 Subject: [PATCH 12/18] Add results image and also implemented a DataLoader for batching as the predict.py would run out of memory. --- .../__pycache__/dataset.cpython-311.pyc | Bin 0 -> 1244 bytes .../__pycache__/modules.cpython-311.pyc | Bin 0 -> 7668 bytes recognition/OASIS-ImprovedUNet/loss_plot.png | Bin 0 -> 23914 bytes recognition/OASIS-ImprovedUNet/predict.py | 20 ++++++++++++++---- .../OASIS-ImprovedUNet/prediction_0.png | Bin 0 -> 95447 bytes .../OASIS-ImprovedUNet/prediction_1.png | Bin 0 -> 95879 bytes .../OASIS-ImprovedUNet/prediction_2.png | Bin 0 -> 96391 bytes 7 files changed, 16 insertions(+), 4 deletions(-) create mode 100644 recognition/OASIS-ImprovedUNet/__pycache__/dataset.cpython-311.pyc create mode 100644 recognition/OASIS-ImprovedUNet/__pycache__/modules.cpython-311.pyc create mode 100644 recognition/OASIS-ImprovedUNet/loss_plot.png create mode 100644 recognition/OASIS-ImprovedUNet/prediction_0.png create mode 100644 recognition/OASIS-ImprovedUNet/prediction_1.png create mode 100644 recognition/OASIS-ImprovedUNet/prediction_2.png diff --git a/recognition/OASIS-ImprovedUNet/__pycache__/dataset.cpython-311.pyc b/recognition/OASIS-ImprovedUNet/__pycache__/dataset.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..d7891662ce2e4617d704ba4cc91c4b6672420b60 GIT binary patch literal 1244 zcma)6O=}ZD7@qyireT{Jgf=A>MGKA6ZfivgO$&kuMW{#+OHjhLJB?HKi`}iXb%Q}X z6e*a4prD0#sY?ANp0bcb7$_*xgSS9$Jvp;6X`8m#cXr-+pJ$$V=WBPr$Z{7T_W31) zUax(X|{8 zYM3wR);#9ckc}hAPzw-QSVV>cRSk=(Z9`MTtZ8Gx_0)xD=`I`%Re23LII64jP!Gdc zlU+nQbaAZ7HvvgTvbtCdNf%4VDCB7umh^eO83~~V3rz`q;V-sr|AF$Y;@Rx3s%8I9^al=P0>U&NKbZlZ7V{HJ6ERWDCApCFm3B{M-{s+O24-P`$3|4%ty zx?87iXW&xh+SeDsz+`P;vH^JELg)gie_bjM?ez4%>;AA3^bFN{hSr4+SeLrr%5UT{ z45U;|N>!!QafXn)a(rX1yjU5l%7cMCSd$0Iv?p-&*tzn}_30{~+#{O=X#or7vSF_} zF@hZW7jPu%=vjONPLjsG#O+HN!_t;@IPIheq#wMSA+EtO3{wY*YU`XZ67`rCW#33}r=?@9eZL>{DLy1Vz#FP+{ly2*|9s_QS?ar8z zP_yD8Qk@8?v|<&finQLBlqh*X`;>jlN~=}(Z5&yuH4@TFt7^p?5j?E=wCCKh$7373 zM4M~o%$+;u{?7T%`R?UMyWK`0-Tsk@bnhYLU-(c;Trsm*fXp2t5P^x3arMqjv*Rp7 zSTaNe_9hVwVfG6{sp5UeJ=C7Yja17BT3j71j%t}e%UnmxM71oSWv!!Srdl@8YN(@S z5tvcpb=)X$H_14cCfAv9 z6SQSkY=iNc&!gcF;<2yhJY9J6zSr*^@T0sCJ~!s`9`^S5|NX;VO#e6$Dy=d0$`^ay z{2N2aADBBN3HMUE51EIh2a?sj(F#eW4ntA~iA}NdhNP~S@>i-THI`aQF)4$<2<#)n zeJFdVl~-tM?WGL&VI&W=(Nt)eN^J_pM_e5}b4f2{tfQrkBxOj!ci8m^**b0h-y^(l zf!V{QrW6Tid4YgEnEdN#O6#~jK2~YC78YaSXh4e0g%xumCrql)}*or6CdvgrSs-f``z`aL`Dcsg zsl}7C?9E&D%9gzaN81KrtX+k+SJUU#+Fri*-WtDW@yyb-?D5AVKQS_YHpidM^JlTt zpE;i6yYhS&J`80BW&S{pKal4S;Pcs~*&M$=&+k|3N3-W12Y+gk`44mahk5?P-PeEC zWNo)?5fEu(-r|wz-zLm~gjkftgoc6F=IbEtkQB+ny*8zoO8Xrp4;a6X5nDj@0V}%T zrZCqfY}xA-+wjpm5f^8JqA=I2ThU?}>Pv1A3#8z1{_NQQ)UiLy-Z8rZ!6q@F4J^tcyV}*cQ1Vnz{w!M?^vRQs%juzRFR~y4(J#yks|4JnEQ)BQpzA6tH6zhCgd7|;gPWt z8-NB4Sv5#v1ZEDPkwV@BT4fehjiHJj%RGol6`o1KC@rM zh@)6OkAMpc2gQp%gTmv|hXWJAP%c znUp>LoX4N{_)B$FH=@}Q3>6oTTJ7J#YIh&==fOMghVcswx=%HwnCGoAXCq`Dxb?2; zvCrL;t_JPNnAEJ8kn*l1t1B(dg~lgi2~(+J4qL&!3PqZsl*7_VV`b!;XY>gDLW^P$ z^O#8$+kn<`q?_k}jcI5sj{^Fu+Q&c?UyiI3IW710YCWg@PUJvD^b z02jpof`LZ*D+nNX_NH$y-@d$b;npXMpQPD;Ha6cee{cTIx@^rHSmrb0A7_7?|W+Bml3n4R!07Gc9na~J!$%jEq7#~(CMox*)TAj zgUmC+>^a43QJH3c;hTV;ip9ie! z{I?HwJupuZMJLYs3Wy3C*(n=4H&`<_%xsXlvf0A5Z;*OI4SCpA2rexl|G~701JEB7 zP#VeHw7_uz9FL3}=@9{kq)9Ok&m_?shV-5RV;l7h3y^sc@vI`UXgwj%gNRba^YpQd z?pqE1q9s#z@8hc6yx0hXR1MZx?Zzo7Lkt6VThO`g#^S6s|Bc{~-U6|s|6XfxFQ3U= zTRHw@L~a?%wG8E3hSJ7GYZ`v4Z!Il9v_e;puHf_Tr%DtJ0k{K2bCd>O1X(|*O3fhX zE@~UAHHinYHM9!x6%o@WBnArq;ofl!rV6!BkeQEI7Bv2YT_b*QNDBxeUmacjKB<@d&33!%aTWxgcG*xKBs%)!`@x4|XP6@ZwhDfC*;GV2tiZOzD zo~!7G6D%pN$RulLqV3<3X2W;GZ&N)s^ebvF2%lmCZMHI=!#79p(M0`~)xZ8eJW-Ciz5uy(0t71p$J2z8 zUFyvu1iJG%%f3vp=?=uKkjJyGuq09@3c5rwL}DSjnSu}uJI|x)4dXIA^{Tf%8h{kT zOyVet9u&PO`Y50kBb>B_U~`NoFXBZMV<Qt?qh}Mc}Tt(s{b{nA1Gy0O(5H zFwq@7Xkl+BI7~;OwF7Q@3LY=q?7ui)&U~@bu{tR``*Y6zyt5xlEo-jUOh+cP^0w^i z&AEE>u3jj$Vd=q)v@#^S`f{$mysK~L(t>-R-1N#)(^6CRWZIxi4 zI+1ssptYT@B_Z=c_BVIWue|g4vg|ySbDqjOPtj4pyHKV#d+6?aD_xI=WanVcIhc12 z?(SVr=KAVOvh!HZc`WZdM(eb+Wd^d=T+88n%V8+kA$H)$MxV0z=jY?);ET3r%V4q4 zQu$mQcs0ptJ`8%&QuPV?yb&}t|E8%yruuZ8vQ!*-O{!+8^CoChzkAkdq)ea-fH-hA6#!Krf7UJl9VJII>jXj zmDU`9lDU=&WESZGqFnkBgv!CM+`h6DR5>_O^6}f_8TQs^i=U<0=X>NEzde2X^wNb) zbB=G%^X)*Hi$x>QARKS)s-Verr}g{R%+c@Km)p~(g2R=ztNh?J3|Ksmq6^0l_FFow z9mYZwC-FrMJ89%z+aNoM&IZoCLFx&$cWmBg715_D7P>8ZGZs^~O{VkoKLzwSfqG-= zajAEuqk2HpCh+k4SIcqrn7Ut#z#~pVGJ%AR2*VTzzd(Nl;*u->HjK>-oF~_crRL?< zXIQ>fe%WPX;Bc%~qRJ;U;?@=K4C0d`g^(#?y|E|hPTUmiB0Zmmdvz8HCiM<~QMZj<9Bk}eY%Cw0aWi#twzRhs6%ZB@kl;IG z;o{=pd|6P?_CG!$VDDrucq@x)x9mJm zG2BV2Ssxg_d*NxEx+ZmcIyAWD?Aa^SZgbm>FVB&pael5WnT>Tcny|$tCQgYunvU(Z z`&65VlGR^Pf?4p z>xKG@?b)wizuv!GJ3yC)(k2}$wof;0d8Zl80TYyN-13e;!SM&9X0$Oee$7LR?$1<4 zewYs*Kk{cQ!@OF3C@G0~$FEyf-53;wW5j>oVCzLhgeI~Ch=po>_B9<0cIc4h@aVrS zhd*q{I*^}ox%}nx=iIXAm>CC2B4T3V1@8m3lO@v-`R2`=T-QZSvijVzHyAov+G`uL zZN#Lc1!bqJQ<2p($(^9aty^q&?&8I#W^Hj_@E64xLKQqcrOMrwAJvDF7ut`>SrB^5 zQJpL~`8#*+1Q;`jS@%9~YEsQ;A=ZwHiV6-5&A042-`vvjBs@H~>}>T%RX(_|dH1@O zx7DV!@Sz(#AGtDazB^g$3F7f>Zgukkglv*ohkhGv63>|~eYJZ= zE8&W>rWJ}VBZS5W!x5~~!yC?X?WT3X#F_f#y_K29^`R@C^+FDp6N7^jWc;8{nRcYK zlve1!D)IF7&!X!?1v9gu?Q}3T4b8~CTeryIMu%Q)ahJrby2B~u4_>Z}l+&=WwMQHJ z{oLDJoFA)}hp`j0>3`|mAsekOx7%P+tzw8%G+-lhe6XSCyV;|3?b@#@U+>wDWb9Ny zmi%ed;jd;16y9Gy*=zq87aHPkfD`x{?etluU=6L zR3A7wIXmyJlw8jZJNMra1VE+UVmM(HE6v%5yoC}u-?LW*@ee@dnK#ja?le2 z^!`WrVdAk$9Np@GZ|sVVEm_&BN=keVDRtN9h}m_VmL5==QPXNl2v5`!vQNLdDd1Rb z_dAtXzue8W+V9W%FpupK_gHyYtC1>)rR%^IYcd?rkmW za=Q}Hd_(PhRDQC$AK$jC&W;n^HRuJyXT`zK-!|oX{W`HpW5lO>>1twj!!e=c%=uoM z3$Ke%X=!O?bIf8ES6p1gq}^Bk-e}uQe26;i*>$fe7B!x`xbe!Nk3&=IEGMTN9pi#g zPf+YT*79sIi_V&<&Hg+Soe~EQb(uB1<-u=UA|kI8f(Y&y82Hs4!kY4`fRQiJ%f6f; z8pDIy%V^S;^ndQjK5iaa7mLfGL|I5jMSNa7KC4}ze(!Zo)!tKPyOMy6oGKV*3thY(@Q3THc+bee7;m@=@wL8Ftdo zC`s3a`>$TVhGl$4RyOg|&1g3F5uE}vR#AqTUz9=OWI@C<=Q}GrojJL89@ z`-)yDC42kd`L65g>gLUFE>!H!#>2XPx3jZj(wltAn$CULF|5((jd=Wv;9$J%#h`szW3CMykH#yvf~Td=&ZUAv~FqSDv)gl$Xt0M-w+Xf zWSIQ(&2~qKFiwP&Y>#0>r>3TM|M6Chz$#VWO!o2LFU44*eb#?+m(HifH#IkZfIW6A zSuXMOXCAZm1kYjHuN2C$F)@Frj>zhbpr6D3$A^EhW69m!_h(yU>$jGNVkPX8DBC}W zD%OpE*l*p=(A_fzD!OwToz}&>|zA{sn{O%u7Dj>q9@QUjg={~8zC7VUAe!dqp7Lv z=$O|yP2(p0m(jjm(39?|dxD2A5=Cif(qDW(R@ zlVz8EXQ!u6(a=mKJuI@(38PJJ!0suwxJbI3I@&J5M(_f{Z>n9vt0^gwWT7C$$H!-D zAtfPEy>%<|mz?6&t5W+*1v`PZXZ{;&(Jq*b z>)pG*(hrxqn}er>A|oaJ2naAeJ6jfAswV)TF+WgX{$gvw<+4tx)48^I3Bohy&V@8I zC`J0x(bE?^{`qQZMN~#6;m;q7$e-!2I>Ou-$1gvopx}oqIx*pJqHrFYn~R$KAT#So zYFp^ZV3hR|`}FD4V^dSKkk5|8j~C2y2FD11OhwAi_8Iz{?yk@1`5$iD3>H3-Ki=)Y z3|#eSjS-ePSgmhOmQQ}mt0e->UcGw7AY_E0P1hFnJs%_Q??bw-^-%X2GEb=(&#Kn( z+Mt1N*7P*zZ=I2sPqrH=%QLFQap#VJ{+krD|179J++vm(aiM`(Z}{=!ccr&`)zO~y zW%rdOgSqVTl@Eo5Z|;0lzN4+JnqyF@oof`}A6eO5k+G{?k~|tP9A@-~`2<-w(dUf_ z0=HD&k)JI!mz8lAU{Gs%h|02dW7LDt5l;}9EzLx<*MKuioqPXRA%B8zrBt#s@tcWj zN@p>fDTdhSh!vSYLyCsL1nDUH^UeEOt7lPtYEF4 zQhul8q7);3%@x`%9IxTW?Q?QO0@2?#fwpNdNjaS*r5A9Kw|M`R-q0tiuu$yoy?gwh zZ>cGvg z9W9{mvHYzs^MdB^X%w!`eHuw@&g?-tWl%vKf;6dij0A6@ABy&@9<9H8c?v<4Or3(y zgE@cOB*q%%U7QX#`?_FMkM_ro*I{Nwth#vsx_|usbhC0(_caqyjIq(Qq@O&~J2}#7 zTMX79u#ovAye!=K?&l%)GtOkJoVAXr+oFfrz9P#1V2a)6Xm{@K$_TTN;IV;o+oeLg zk+?jQ#yrR2q_*@FC_l_`WPm0F`7w()F_42o`|01h~4_vW1ca4TUi)Um&XRhCXZfTq+UJ-Sy6^l)paRq>mG`R0O0#uGe4TS@8V-FQKK* zO9|Si;`P7hQu-J&c&VwP%1$wv7B%R&F5MGynpU-|K6Fb{OKgUTQXML?EnTf6jg|2f zIX>F1jukN_(Jym(5Ao$WqiE>*x|1NSz@_(eHG5~yvIty0V5ks0#wR4<=T}iuS_p45 zGYI|mD1SihOSg4SC0+SQJA{?y1S#i|wI9rR12#UJJz59`F6LAxW$Ty!PP@(QceHCR zcvzR3b{e(#th=@|lZ%BfI43#3EN<|NBx>WB1Z!R&FqVnXJ*yO8E@W&nF^*F|VC*RD zN+t+UNKC2=A>G|u%+aazy5zsxV#ve8lUt;H2bC$YL{YNi=j^v8)=!^u>@3AQ{(>sk zN8D#0=aw|P_(8|QS6B%I$`LF-?W+%!&CJeUziu}7b{|`v3_&NXwe^>#<4aEEraO*!zpfyq*WP92>h{OaCzwTzqU3VaY&^enCA^`~pMnHA({8 zI=cLt(!vE<(vp=wIyKyBFlG&AL2@*0yY_}MEJ--Q#x?sUt*hpgA+>__e{$Y?(-~bE z6&0F##Iy5r;RYl%I7v80zFo757G2DGw5vK1Jw4sejcZi4YuBZW3hFP3rW~G|z1?(} zR^ys;^*+n#1ELOnJkR5Fl`#mz-GR`y+dOc0Bdk;-w|VfP)#S#{T#v6({ykj|vpq>z z_YyL@pFvx(<9tDpKWcB{rdY&x+@u9gP6-q7k#6LD*8_~P9A|s-%uCzQ6KzE8EMl#?ngL;&ngVEVfXvKhqjj%QToRSCTLHEdF{7G z+SmK92+eiu^Bx#4J?YE2m@WHUkI28Ig{)M*f}+c-HZ7;}UPgF$q$MU|unW7|0NpMa z-NtZ{iTj}!<-e81arFvd+?CM;sUt+uG9Jxb?NdY{&#*z6_?;!+b{Q(@1;fFMay)l*eG1j9c;z`)p%Dw;k-Wtyt=&UBw`Zcqp~tl? zL9Oj9`bR`s@>=_G&0Do$+ci(4+xnh-acJ8x zLXC6%kNwA zQ|VqBL!;LYmrY49-%bg!r*t?0$4asEE-@9BRP-^tdK4+NNK!DR+#Ir+E^(%t^y4r+ z7PD;^vROL2=*HOT|8@61%qVKYsnmtBgbpI{NOV^QjnLSbK`LZu=neE`ZJQz-wtnk~ z0{3=@F*g70%N}bYJR`*Be=){bMUSgk)(#<~dFNaQ9G1&OQMbpxrl;JK$FkmoHLYCZ zl{n>uh8tX(y za^0>8irHtI`WAMkdWsYB|DA9gqgZhcpR>&<~>#ImN_uve_B z^zYJ$-4d!dY-JpkHn@FuJMfpG!h(^I-t0!0VM%v|{GER!2m%_Fa48Rwn2vG&5&iAP z&yuJdeZrxtkS1*gamu)&to^Bkh;Rmm9TvTfK&fh9DH(6H&;EyF*$V&$4bM)af^MfD zbymbn35?SpXAb#FBX~CZTBVMucGLc<;#`@mvi=_tB4vN_3;vj=hpR^nqJ{64^2y&W~WB{cAHp&ch#NWU)wGlD3)kQK-Z53-DDSLkKW!0 z6Us{8jkydf!AlJ-#PF?>;gulDyi|(smMvrGz|*ZRX(I%>uCDKX8_OvkSauk-b?7ob zHO6?uz1BKtLf#~$qI+Qh=xoLL6rAzyFZZsish#KK4E+1o<()v*fCF1j_0eTu>1bR6 z55DS&Q0CkL8@78u87ehOlk)~rI+UD`_O*=r2D`?h{~PSN-b>Fpn`9bVlT;j=6J1Hv zC5W+Y$;`S5!*mnpJgPlWI(liz=Db=$)A~%y{NOj<*x1;m;nI!ZA=}}SD2N?SwfOY+ z_x<2z19>K4-d;czD(+MrTY3t(l+-Oz?a$YzS0{IH*H3<#J$Rt5yPr8RNb~~Js$#U` z-O2NlrOK@L?d-=Hc(#RD3^4{W-m?fB)6vm!Ss9Lc$Xz6BRHhj732m1OfJ>OY$ z4Y3HMUDquLYSJWU0y?^>4pbQeFz6l1%F3bMu_JceTwFmF6%|u<+v7o$)a>jXO;KEt z*+YYw zr+e_)CHoS_4xfGd1{~BwA-o5_y8*I%$IFS3DR}UytEw6StM9Sfn29!AuOk)Aef0h5 z)Jn1aSQQzI*c2sVUwwOliD;pTFQG`v!Y_>Ev^YHRIR|^Pit#^s}Onh)$ zof=wQ~M3jufTCi86mK$ zsze+d959n%yBl*f)YNtGVuq|*ytr-nvu7qFWee<-;&#K5PoF*=?s~`XDi)g5bL7As ztQ@fI#j&b&!_pW?hOW&1iUp$|9bl!3Zet0*n zBUt&$RPXG;N^({f;9F`0{w)-XjE4{+YCztT0@7Nhc3vPpDP4(lsLg0aEUUDYoLPMR z#CRCH-}u*z>`C|PeOBPVsgUpatbL~s4h!>M6g$v*Z1QJQ!uhB`WukMUU7)S zt)k>dLNd=DGL_mh+3O;?h&p@{X1``B1IhtWgScfz_4Dcd8n2ggTf z=e_ue90;~YBjY6gsN1|@fps zDG1dIpii$&6UiQgOQsm(KtvMe=i~n=@^%|VXBYYux3?EbbHf&9u5{kLX|8XwMHGQ0 z`_)7FgyuApSWq~Fq&A+ne@L+CNhXr2_8DK}YhSjyLzuh}VX2!TL9Z{e?EOIsPf+dQ z4up-~O#?fDn>roQGdCk~QktGv2w4CJ3~#X^CP#FM{fJP zoGbif=qZu=eymMF+JIs&728Z#^MPNZYHaW!0;(9Kt(XN#)a}+?*~QG0^+5p_=vJDc zQE*{LMiU}2=cV`NI7sI{pm^@m+}^xp1YHMh@tRegEJNW#=+N2K3(zQdpRLAq+(`$? zuT}YxSCni-`md%ul3yCKLy}d_ZzorX(6IRZBcTr&CF*hHGR-4YN+xIkB%^z%(_g+w zZsO5VMeQk|HIQuO-yZkNm*)3Ie};f#Y6_w%;Ih?1rzU81zR8MFWuSJ-*Bb;=HOb3|%=eg5``+wtOTSjN!WHy7@e z93Sl?TJV=IUl7Cu{1&wzl@UySfycLP)MgecrTU}w{*^jJRHj*$3 z#b0#cwzjU*54+ z;l&kQn(Lv0iNm@7f2Cpl-v^SBp&plH6kzAa&!3xQZ3pr{MYL<++(=l#MMjG56k3Rn z?>PkF*YWX-2D473O>J$T%sY}AGsp5wR5Y{oeu54=-1R_9|NAw1{Ra5OVj%zAg$ozX zoA|T^y{MvCDauZ z{|oGci1HF1SV;-bJkj-C;}+x<1gqL|W~~ftemlmHa;x9CK{C}C$$jC%e9RioH5m&Y z24n-kN(8aA6;k^cA!8gEc$dZA7bghr2nfzte%Q?_!b{()|-bGh}kA|Lw z<5Bzi6E?|WIQ`D$3yaCf_`LK&&;WH8@Pu_G;tb#hJi)XW0z4GkzL=AT4^V;a=TgE> zoPM(gwz&rabYb2+3`miNSOzw5`bSIYjk%=Fai!tBgBY)0(d%oAL(j#xP?XcaKhNf6Kop?MEyc8OQQ`}eTkEzYWtZB5ed)0 zg$6q{gy0b{2vTvWspCRGuYtPeUFNs^7;k_4ISy-UApT!CkdKDT;VN?0K0t@WpC~D* z%1EPnJ9!bd6aicqGz@YZ{uAIvL;WkY=pybo+c$)Z8J)bdtsw+s!%5A6v}^IDOc6js ztCRP#no%YGluKjQwuoeUDFu36!fMn<>b*&0Q_G_ zZ}T?d=$YHH{(D<`F@{2Tz?T>j43tdHNlC?qhZFto>e4B5nRo2-g~EX9&6^*Amp~;1 z1H$Oq@0)_2nMifUs9-=Q4fd_qzF4Zl)bw;w z)8^A6qM|zGZv1O&Yp|zMuhT$zNe)CdRc&nsZ1u4mkRZUL*Riql201`Tbt8QOC|%0a z|0}>u9byhuu(K1e?#rH`^xp|;^nOOi&nYLDM8SGl$m_4g*3!Vexy_p|9o+GLAq!=4 z3}=#h^?!2u#*ysLpTl9tYiMeQ0=qgs!XB4EIcylay*v~hfJ+EkH9~t!p+Zo)l;6_S z(o#R+z*111pD)tf+&rA~?Af!$@uk$!&VSZBa9SDt7fhERL7;^i>dW|eBr@3!7QT1K zj-tpIMH(vYK%G^+eftxP1K-2Ka5>*SxLiU4%lX@J(;4gMI!{Ol@hP+;v7~?iMOeLp zf36zLFXsXji$k}-*eCnO|HWsiZH2#JDrarR!`FzE6s02|(e z`KB%Ni7&g=VN;a%1{$A4lY)?6r$_Pxb*)H~GLCq*^wk=+3-w(33U%!5_ zy$;uXT{PPf6q0MW{R#wyW0IJgH9(-BGYAKQV(schG|TqAWS zHB?ihu(Y%+v>kc}gC@5#j%(mGe=hBIJi!$p(GW!^uEXX&52r13_vh{Dp2n8G*_>{RW{s5Xh%z9Pae)Rc> zU#da@$p5-_r6F0m#ng<9*Bc{PJ$GlK8G&4*D8ho+{dNL??camq0Eko323{8^W&ghX zf%B$|zVFBZb-?(rufi2*SVOc;===D$YFdtt!tm!bE$zHhZj4+7^SfJN8+Ktg*^A1U z0AE6@s&S{;u0&y|((`~6H5?-Z>l`@&paJ>{K#9Nu3jB>BWl5Io2c8!PBpw05zg*inzAX3kWlsOb47d)gCJg6Zz{i0P|!7vvX+xOL;!)k+o#Bt;>hc4 zfB;hiCG^uHsGK`DG!S6&7?5+49KpEBMz~r9M|R@wy&wf(jO^=HsNsB5QpiVKs}0Ir zE|~myK2bWCv@vUZEi)aVunm!(mrzIZ>i&}j9dfux!RDqwX)qK)oyL5(*B~?Z+UVr$ z{mMdC<{)~XrLYLLb<{@>XtFaE`S;H+T#Ur1M^Hig#Az9LhCt=i6KP__Ksh07 zRAPk9IVr$S)@Gn{KYR!Tv_Q%2PSa$UEnGw)MFA-BS9n@bSr6EFaYA(1;m;wc5$%w9 z4MN1mcY4EIhY3ZfRFl>~&CznO@QVZ`|D(#U>UfBt#brQ_dCjdp3+1{`us`+OM_hqD z(qbUpEf*wz)~&ljcLj-!Yl0l3!=8X)13cZQ0L_2M&rZi@(g-vQ^@O2NdDJVE7TIOMIe;ul-%5x zAPXJscKC}J)u5o=Y}?gm+Bw%r`j<4SC~uIQM6HIl473AMUUR6$M^$Y0>Vho!k>sZ+^M_CRPl_5;faUQHvre=Bq>Z)o`d${OZfX}3pZ3d8+7 zX%t|kQ^EumS@%VFZp`MHw$RD#{oxX*{CgLLsI@LGg)m@~>~U;<=T}!;dwY@0Jwyw4 zJeZh7-APr`!jAzT1G`|wDh}eQ zm`nDTLmB$*o}-jmMY!5@lnUG0?8LQ9^McqcjBa$?Hu`*$=?N1awM8e$dW(0+AIp4H ziA0)?f{~$t}Fc2VFJ&drDvhu5_s9M45KL-3?Odcd7oOF_~ zf(f;~GIA5JDpF?@`0dupi1&^CIB9nQz}H&|l2J1)(OuuHwIF5>lscP#Ta>W;9lXC% z9$8T#dXBkG=WyQs4%t;i1H4IYizAX)i`e?JI25t0^B& zKP}chF&k_*qHo=}aXGCRyFKRL0k^FIW6)fWi3IqEXn8d??%q`d<^mI2XxSAyTIrqK zd*tNg6eDJNcZBZ3W-{05N3V@LE<@Cdp*x9s3hf#E7}sq{qjME)WO@b?s+kiyN zw$CRZVD|IXxyBLme-HnvFYe1xtFfLyhQ}ebgFeD1|5sU5iS7i{UOfm2`= z7^|@Dpcu+VoEeEF;9W}d-QNOxiICrc$Gv?0@#+67W6>vup-&t zj;RcYcmGz#35nGs^e8cg1XeJ~yF&LL;td{zeJVrCVWy?`4u4Rm?F$fyJMs2aO%es1w{7(tAp~|n2NYxN z9Atd|WPpKjAUO#>Ah>b@$srKkeXd`vg*eHM-0o8vFvBuD5IuS!A6ffUQm>9XP|VuA zbs`tx@gsM9`aFc7t=01cGM)hw*@@eiyCRFE{+U24CaqVJY7pk|h#dK__1E`C5K7Nc1xWrH`k0CdR2ZN@c1`yryahsj7oIb~+L@Xqm4ki{ z^Ns`8&^)2l4T{K*pO=X8RZdplHataU$_d{(d8ZSZxIE+nv=<431TJ8LuKjZ(NOv1Z zsD5<{{YubMM@Ap%OvZf!0!>K4gn2hiRZflI!hp)r zX`mezy1$&|<_5t@!OQFN&1eDHl`>FAKvfbrBQE}~zh4`~sR*6pP-Z(YdwAZ06}`D- z86I;{5RKKR6i7!BF;xxX7?dP9xbh1MVkI3pTcQQifgC(GGs_3_lvST$p#>GtU)E&b zEk-~@#N%{Ru<{LT9nZ|ZVtYfkrT&Q|1MlTah6xcw4TZrki5%Wtoj9M70fg!dwGevs zCwKC6TD%=6FYhy`0f_?qfB5hrM#|aj+hX;4Gw-ld3qO)J0AE@^*ysSJ50c8JwjkJl zz!0>3nwfd=Sr-+$oHedUbZ%1#8KC#znwpuJ;nOX8{`@)Fwn+JinzAwhbnen%Blxet zJ(_a;^?9}ydj5w>K0Y#tn+n(fBo66n*7Q;wveasTy{EwcdMVF)+YTI~AX2flKqW!D z!0h&mEk}sWuiw0xrsCY+T5bV;f_T)x_%`f~t<-ZHFrA*6nQ)Md7*NsCVKg;0UFier zmF}s`8Fs1XB&YL6Q=zOE^BUQvHv0_Ce|-R?S1O67gd|IL4E!Kqp|Kn);)lfWgL<-D z;}SPFcNlbcH`R=odgZ-QHx5j070sz=%+%zhgCxu8)2BW71bKMQ2n(+T56P`H(8z4{ zoA?~8H6mfrVFa?cQ}pzWWv)GxEyDj<_Rv*ZR#J+fbKhaRB1;Y(@Zkab8syL;m zYVHiY|A?qoBP)pZ_&$v75r7rQPKkddfl`}xB*}ufSuwa>Utj+uA_Ag`)u(l8hj{_X z)%cS&(+Ms!qL+z@ZQwtN0X_n*P%{|fH}BrPdixf?2CQd{5_SpRhv4%Q1^fi>-E}7? z5zwBd=jQI+y^DjSSpTw4ac+)Bfv18)?1sqPr8A&A?5NfZ<4St08o4bGeg}fr)X|X+ zz2wu*tr-!144%{eWtH_Mh*~@lqdQX+*!GcijBu%cl~|oZ1Or(KVkgIC<1x1aF4Y$2 zEX2$bh-nidt6$*6dGKG;tAwiKh!A_TD>>B)KX4J!e-}HyFO31UrCax;Lf`}Paf6lP zKR@3@ets((ux%u7UjzHE35m2)M|9Ucz%S5`43g zha@py5EMF4(8dk7v~17dh7Wl_MIgMo^W>^r$W;}$K|T+UL@@JNvpEh{=S1nbi-p_^ zUO;`O1LRo~0Z8({<4Np+C6K&thsa2Gb51^>+;);B?$~}jDYwX`LAM2MiZ03q1RaPt zOwegdQfXG2yPkt;!(C8#!c}PQu|O?~TYH z&8e8zVC3_pI2s{$;;yabwCE)!sK$}-C9xG0!9KC+Ya|Qg?|Pp}G)oZ@xq@pR(qn#x zle!Zb)azYE7;*|a#d*7oj4$5pS64@PS6!HVJhDnRI#<3>=mWRDRbLan z!wh8uG!v>g2cym&>Pp(y$3fLObzbt=zB9#ggoR5CXYY1E?_90_3dWGW_OHQeBYm4G zxHgf9c$AipFVwk$9{xrr=RMujCB4Mq(C)BPpLi;9I?*J}z}kSq&qQ*`fV3bxSdM1= zKssXi7O)_@lcr95HDls&^`C-+bsx50KP>uLLAHNrZB&AaXKeKvn~D#JpOTKd+E{Tc zp}kAsBl2tMtjPHB8Ij)oMtUmZD`kW*YGSuAs}`cSmJfRttRn0U(LN5`G9#>-6_0v{ z)^0EyULx~pFIHbBvbSK{X!Z}_BJ1@-bsW|DAVoQrs~~C|{V)^7;tp4_%#PU^Oxg@L zCp^-<3gyx+;mooI&vA*Jg|XaeozMOD0@hv30&JA#sXF&)VyYtxncKLZR7lm?C?v)b z$41tb`uCnQri!|V^A-PpGlGu^ks-tqunxH6SuhwF`Vr^uXQ%pE^>iJSZZhv|;cw*6 z>gs?|ZAV4dqY(erp=`zFew&c}JxlFNV@nvvaS5!WLdK!O8N=M5Cf-IQu$t$sajM=QI7d(>Qgr-&f7(mWC)eqGo*q zN3sjbE&@?J(d_=sO!5Pq)x#}IZqkrR0^jJdVBg=yri0D|ax5y>xSn8rV*`qG4mn6E z2Dl$Weqfut14B%S+wA?s^+S!q8CA)H<C@GGbw6(r!zB1>Op#D!^W%iUkYnR?-{9U z$pYyQSbrVm@5Wz-Q0La@~yShR&L?reiHt!{21OG!;5W??& z^xlv7H>%WQY|2Ro+jNxBy~2Bff{wN7O~uesKhYkn_;XC)Q3^&lw(}&ehq@<+On0P8EpdqK^9^QJwoivW{H82%}q|#Ga;q>3l z?TKAfYxY#aFZ=Na4etBb89sn$AxK=jKs>YGnjY@sLCJEl81Zx^6NjT1z=r{{$&gu?H1$vzn+CHLjagC^8b zsMCpfTt_ByA{0hH#bR8gPA^1WrXr>QYKcaOy08fWT+?iGp$Bmj{r-Iyq!tu|oKJ}g zchtWkT^J}||1VtcJe*b2L?JiXf;nonU_FOWbY8^}p*blHHye;2Gc zIBuC3ErMEnlZg-BZTnziSa^?NB zbBNqZ5$Ue#f41L99e<};J=C)X@8K7OPjPbpUcQXDTl|h}b3OAA>wGsFx%ul-4;+^Y z>V%oqJ&hgP*FCh*tEa%lntt{#3$03ldvyyNszq2|`zRxWno7zRxz;7BUR1U>E7SS9 z?4H%$7vnOIT^~UG`x;a*Q`0`Y9xv-VbC$Z7KR6Ow3`u-c7Z4{-r;860aJAGW=Av%} z*_%JqjSO$H1j7-^Oyb%=9t~U!YbFkcTW}P>`~ulA4x9@Gk7?EYQ7Ie>eaoMEb=IVgTn| zX7c!2S7(k)Dw_kGqj>UAW7h`(9W#M13@t0JQ3*l`xLt!)mW;lcA;SwSc)s_wmw?(V1|6shof&tX?1odi0aER&czZ%H5q6}ak3!M`P zOw7p2x|hm^4CI%a5gG{pv?ctmJFzLR@Ex6zvF`8PTW@`}Mu&hkThd8t#4ISOxQ?9t z%Ez<)8>Foz3|0OkgI?Eg5@5Vl^`AWtk*`F9@oK1ebu_EYe_08f#Vvg`0b^(8SxRO- zbEReaEZLD@VmL1Ee&xG@wH4iofrWFlvyh(*e4(FOI=FT9qx`>08WkNJ z7S*z-uc5o9s4z{*PdzF@i1@E`l4s;hf^4mZ1m%Gpob=agT*wr~M< z4wZd@bZZ1TvAM#$n#b~G9^SmNi;J0ur{pSH5~_FnR4cdsZqE>fR7KW(b3P-(BtBRB zmvp@En(N)Ks=mmIoFtui0XyZrg3Rg6V0Sw>`?v7b$9~@(Hk47x_>!?hZGYK-{oIj| z71ddnfWva*cGS)R`>by$rxO`+dr-4}SM;?}QCQ1k)Y)>&IL9syljTr|hdEk0Q|avr zIww?@{VwD`@O;n6Cp=ydHqj%mIGrb$E%pR;%SEfEbAYb#&e&I-a)NNdXXOKzHMD-n3;#k*r zL#DNwHL3EHW|gVygMZSgaJ)o;Afs);)m@X-qp_6h@m-5}R6G=K>xUP?)@RYp5?Y0( z`ZX#$J8+fb3v(+gfp;IA9d$}d7=UCWV#r}YVEZx)I#3#MJD|WUc zSd`=Ilb)X5_M^&KAvtM3$#v%r!P#Z>16y6QBY7^@W;2F>we;`c7~XA^KT-gR6Ux0a z^XbWHDv@kG+52$jP1v{&4}7pcpi;EcSAFz7M%YBA*K<685H#dhjrmXl&xHd*OnvwN z%K<;{U3O8bFNS3G74$3V?ycNm2U2|%!8&6M1g*^EW7P!4r`Y+#bzf<= zi5j}Ip|oU|4^dthNhIRm+xPhN=i_}||7PPH!;yQLoF;-KB=NnD3X%2r>wN20p%jmJ z^G?|JPb0dRtBi5Zro|<{p4ESUEpA|{oC4DLD-ZwOr-c{;;GE=zdufRK3OtifBIVsW zJK^*JL^kH5okscf;_AcYl6_eyN$gI)Rv*r}s)#e$$HBQ70B3AS1co0MIRNRd@aGrl zU1(nD{m=*pNt|og&G*F*0vP`uNs_*kv5ufAv0|If39c24&9cxOC}4wRx#+L$ar;Ik zon`0l#Xl~zO2ru2MWeZk&KD&Q3LIX0N>!$ge`f0t55FC{)2^au>|?$$&^=l*?I#x9 zV&gcnR%zZpyLuqm%H#&yo1$BjCI-WAA5m3XqByWKZ8IuUc8K+Xjj8r`4 zCk>~0JBW*KtEoZRNVum6)gCVq2{nKOH~l?QMI|d+Lo`4bxGdvGXS;-a)~+p+@)}&y zJw|0G;8^OsdsqL?e!Pvjb<9=uEX3Z8yLo~P1WS6h1XT|^ZnW0)&EE)@ znws9{9U?66RjgH?_2b2TG@rfDR~)7|jHMu~yO0C{+K^VPA+q(oxta#89`LT3OnrZz#&@F0KDfkDqUv^6oK?Mub<>SD4?AEmYS;b92*q)Z?0ka?)Id;dP0TQ*wjlDYx$ z6R~>z8Pnm0`vtTjVw2tNcPg5(xa0p`+VK!4=01Bi;rF4J%1t;v3ps|%pUwbQX*VIu z-)99%#&P@()>NQgdVg6QD+M1*6jG)WZ!`t$_sIu&nBtgzI_gM6I44kelXj^fwm^AVwfJOv?-9B z6aRRW?lzT#Oc~e8nstnCMQiK#d>M+S%rPJ}{oeUCU5ce;-r&(+x^h;5iY^;j@BNP1 zn&FPk(4%{8bfx!ZWF8lt&5onA9u4!Aj;Nq#!e16?4fr}_XmxvzrkwSWZv4Hlss{_% zLfC7WOeF5vfuI{izmi~al`6gSigA57K(MDGnB`Aaj{?ksk)9q4$b{fyiJXDMu2Avq z9dKlluxrKoZA(M%-G^Nf+lrf85n@mj=GQICEMS7~u1Iv3UNW#Qx=|Tx>PGSe3pDML zmgb|->JR*8=|LPhd)ubfMfA08hB1|S5_7f8^{sOxh9dLR+s14c!^n?=da$)|$6jtu zMAnZ9vedLlrGe5xmS;j$1&jv~ReXHtHt6g>0xq|N zL^K@GK$&sB93IxQD_<_UEUgBL>SAAxd4H~Pqdqr?=c}u$m!;Ff!wKWbvv=s1Mu_68 z#0b@@{u=-3?l>0wB1IXiVAZ&Nik9%|7};~jg%7Wd8vM_=Q~Ml>@g5tzzhVoE4 zZ$r*tgM15f0w+h?<6fVpLK6{-hVgh-MS70)#B;S8%li3~x-gSWkY{DDYKNlPNAatD z@HnVuMI+-2Vg1KB2gfOt&tQ#5`De9#It);_=2u!=c4kaA{Hl`Wx0WUb&x|g88=Al9 zdE z8l-z1qo$V}2U!1O6GSVAFOYzu-C7e@WM`3Wn>~)EgcH?T+@ZJen%G8^HsMxW3n$an z!53zPQOd6Fq_?tsH{W<-ImI`q?9-ju6RZ38c`JnLmX@Ek+5D7tS#8??Wgf$ypO_<3 z|Gv7o^~Sfqhpbo7o$T|tXE_bDs@SXiY1fZBSd8dfg-7n@gd`O|l#UUuQOCxaETSLF zS@oX&bCIGhu-tfnZ^PB5c_JWo|LQa6?)mp@o!iAYMp=L0GICQ+b%T^}SgN32@lz4~ zRgfx^t0>OLN7pR*!Qn%;kK_4`i&~O{75x?L0uz~gt_B~l_NP(S*VxZc_!&PQLy#Oo&K zbA8&Q+KI_&+Pv|)@+-FWCVtDVDu#Mi>-`>ZsP}JsClZBvkF|#{75PP|s&r5nFxI-? z^G?S5@u|s90*7{?okNQPdPn^)l0?qgBHqnE3IpZ+AIY_=oyGjw*G1=Q{zX$$RXcrV z@$(s~P|qD#agJ@X+j=OA&1saA*t%b;x2j2(8AnJZEadclxBqe!>f?Xj>y>d$PI7Hu zN6p?aSBvh^D73GiNq4UvZJe4|Om8)4sviw_Bj2sx#wnNjpREjP)!`Jcp9iiU?QH&e z+Xyl~{jSD0z}pVCv9kv~9SVK5qhGWd2>%{tp|pATP)}5Act+7TlOa#5t5tN?c}yee zo+=f5vwmmFet$z{b?{U{lUbCV zU8U8l9U<~Gv$?N-NhJlCC)b9s#!)Tg_6-OFqLn7(&iXpb)Mkyb=!~vVZ^+fYA$@O= zv3qOs6%L$s4Xye#H*%vg1@#%8WONTz`OSt`^k|#cnslo)`jYJ_)qQeR9Jn1)L1=UCUoz+O)gpO06>K`Zv}MROD{yG{+f2!6Cerl6rRoO< zl@_1|0;_sw0oSEze)5^2+s4*YkI6RTlGU~>xE+=Xv$0Rah$z<{l5wPC#OtL^Kyd?O`&l`5nN|8tEt>vzP`kq5 z|K2Vx=7BS^XZ$b;0zv1hS0-RGWyMzLc(1V74;gNpLbBWN#X~gcLJh3r{o51{=D|4w9oL5om{nfRxh8Exw07ak-d3OAkV2-OpMQZo-QREIjT`DRrh*0`B?M2d4;m_1;M9 zYetjD$R^4vPOQ~^@Gfm5iwWx^b|t*+JZdZv^y%<(GDSRj*hoZu#GE>_B#RqM5!WKS zXUFiE@P1*eYd@v^)Mt?a+qd$ycA~|3Lp8>t_1Pl?5%slwCbIE!;;?YO$ocsvUzC-; zCDU&s-fl%zufuP3)VY0Cjh>LQR8qswMO$WTuJ&t7#I|3^>%$qfW_Wd4Omf=k&IJ7J za%V!szwGO7!OY8+arp1d5tZuUHCOa+y8>frmNUym&8KwEUD1p!E)6=j;=26coo7{c ze%0aWz8tgTqWZ=7MHU0)9@AOt^1~*l4F+zVJ_2!>zDxdE4|=m?#7p`l{Mk0k7A`+{ zckf%$$D&Woi(HK&ef5<|Z5zJM1t#qogS!`p?tC&RKm7C1DtE+jLDEbP$5nOnB0(t|4i=fzY?P%G)&3ry zo-^xHHvUbf2*IAYu)>5r&ZeO+AaQI`+=)|bW4q?Q9JW& zML`*!PsLczgl)#{Hcr2^G9x0Dx;!bvb3$4Jp%;f9WdF$Oo@FUDeiiIojQshp2Wx@S9$GYYYX?&w)*}QY*SgvcD&D4v8aHdQck zww?Op61!MRCTgKsPT3c=e9`&i+#**%_vd{3XvfqvnrwTPZ&eu!`;FO#-w38wJ+<^Z zYJ6-STXP@0?|L{Ehk>hv1x8L{s z{k-0U$L$U#&E@tL+zDWDW_suB6lYV{O~(bw{5f>Ha>2Rx zGFD6Sx!Ioq-S-?0iK=Wd+jeGShJu{JVH8pU}4K+cjrx80RxKmn6~~;lw-f_*MEN%xfN@-iG3PM|-q_ z@&ZpNG-!@-J8#b)KD||>S7kYP#QK-_#OOvP{@@>20 zN+ouV36zpndZk>yjx)3iQb{JM<0T0S%E;NR2*Q?)qWasAN@&Tu$Jx^_9HdP2*2rad z81374o->KK6pns_9U)hel7PGohuYiOF>F!21P7GRS4Nq;3>qJmvhE{L5ap{Gp?dZz zaW;e!8xsTe-`w2%WpQ;z#>;Z~-PNT($LxH6`V6W1q9XOmK%S|WR{=e_X-Em@2q3a^ zXVSq#K(<6D)mEi*jXd6e6-8QdHFfuI?B)v&iiqv+b|IKP8Hhn}Peg8pP_QC8B3%EU z4jh08MKeGY-}oK!Xnr%#+^QT62-t!jyP*CEUb?|GM z3higPMn!kkM&`d1&F`)I(#asKmAB_LuVxA;CjhB*R>eNSFSL%%Kt)UaZ=loUN^kTq3-6uGL<|K41m~b|=_(HQmd5fZ8*9S9G zQVTL?7Vm{D_TDmGPnvq~J5>HZ84GnJ)s>g1qk2- z6^av-V^%EJWQ<;EjCu^nJhg{z2xK>cK{CSy7GVwnh%rRtWmc>qO~mu~gPh9=3Hwf* z*hr!;V1T}7tqncID*cyhK3f7CxCo ze^4X@ea6R3M)QFnrCOCN-*1x262E=RRRAKlsSer!^H3HFo&+{SeTz+GflN8(%9V&&|s~Z^iSVe<05YJPna~B1S z+Y;3O!>!YCmqV6rtwB9>n?vz6I|2m4m76*nA2@}k96@( zcTxuN++~%k(vjLrCk{TB{`(P)5vv{CyL~wFR;*Vm1N%bC+Ss)1?53j5KhW%)yP+ad zXj&?>&RtqwxAU8?7*guJAwqlMDOQs!?kv`daXs1Hgc92&47$Nmu0u)2KHjdmKy%`K zTN_>sBEN6d(0o7G7OTYb8K6OppB0~N ztdspw|E9RNXGK3udfSy>*82$0)X%s1VCmHBmd&cFmkbv9OvJLtR3=(3cGKi-v=S4y z6GSCMsTD8MN&ZuLn!N&h6#Cx9%BGguwo7P z)h*7cU=nP=xC6w;A_ECuyYNCp#E#<+K43RZMbjrLqOhnSxpA?fzaI7`9Ol)*HIQ+K z5_h8+`#h?>3?zK; z=QW{6>qoZC3B8P^!rDHr1sb&W_Vyq_o1ug@jB2wOn#uYh!L5?@BzHpcCN#&8B$5}w zwX8ZaoiQoCgz`trS9H=hL<+e-QaTgUUs_Hp7PsTx06nbjueDe%R%M5+WL~I4 z6uJ0x|NV^57eoUw+n-kWZO*qX^%bX-V?+|V0xvaB|FaT@BwCs1jb8xZg0W{E_a8Ah z>e9I6(jo(1e?b6#&>~OmZ`p_pHatpFu_-Hyc`ylK%*=DF{WACu1L)ppTG9bu{%Qq039EA{*WQ~X) zit%}Bk2ibOOj|jGOk4KSd3so?U)8p32Cj|Bcno{07SaZJzd9GhAl#pS`?-0y)GVqC zm&mL!R18Uksp|@6?j*JyeEis;Nd==^rlG>w3s~oTu&7P;1orV!h46)=%+~%Iji^z* zdUS=Om|PHn{GMpX*jD-2mq^17s*V@!W;pi9qMw-fAY5Weo=Rn0>i2;}0Exi)12|dE ziWh`%i%f*APQmY5TVJ(wOMEraGWvz^0a%s4rXMA{)t17teFFNApTzu{7NP_udHH#?9YI-_p*` zldN|K@tCm)l-|HtX$%qexZ#Q$Uzo0>mcc-Ml=W(+KUgN3A#tm!$2Z&*Xeh$WpwITbi4 z+pXX_&{YlQ-zWqVQoj1E#uuU$63<||9=f*Er$vZ$VXy{US7KtJSQR=PLh|x+JcVch zF9Aht_)xxs+K%LW5M;ex6p1Z^kb${&F)r>TybRfNV=x4!I9`k-Vf3%_GrC)V&ggQl z!DfQV)k;~$Y8twffOAO9gv6@&j5|U60T+kBk+(uYpBnin5146X<(!)1ih3Xobz~DUo$u_KxY(GP!(Pdr+9Bdj<`v!Di)hm{u7#`54LimnFDAe z$S?4>kk}`andwS+cX)vyxfJ3x`1;B*uS|rUs-fhC2x(0?!hs}9H&H$)L-vq>@ymy= zoeIK&*CSfH&i?})WaTgb literal 0 HcmV?d00001 diff --git a/recognition/OASIS-ImprovedUNet/predict.py b/recognition/OASIS-ImprovedUNet/predict.py index db665eb0e..83c72bf65 100644 --- a/recognition/OASIS-ImprovedUNet/predict.py +++ b/recognition/OASIS-ImprovedUNet/predict.py @@ -2,6 +2,7 @@ import matplotlib.pyplot as plt from modules import ImprovedUNet from dataset import load_oasis_data +from torch.utils.data import DataLoader, TensorDataset device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') model = ImprovedUNet(n_channels=1, n_classes=1).to(device) @@ -16,11 +17,20 @@ images_tensor = torch.tensor(test_images, dtype=torch.float32).unsqueeze(1)/255.0 labels_tensor = torch.tensor(test_labels, dtype=torch.float32).unsqueeze(1)/255.0 +# Use DataLoader for batching +test_ds = TensorDataset(images_tensor, labels_tensor) +test_dl = DataLoader(test_ds, batch_size=8, shuffle=False) +preds = [] + with torch.no_grad(): - preds = model(images_tensor.to(device)).cpu() - preds = torch.sigmoid(preds) > 0.5 + for xb, _ in test_dl: + out = model(xb.to(device)) + out = torch.sigmoid(out) > 0.5 + preds.append(out.cpu()) +preds = torch.cat(preds, dim=0) -for i in range(3): # Show 3 sample predictions +# Visualize 3 sample predictions +for i in range(3): fig, axs = plt.subplots(1, 3, figsize=(12, 4)) axs[0].imshow(test_images[i], cmap='gray') axs[0].set_title('Input') @@ -28,4 +38,6 @@ axs[1].set_title('Ground Truth') axs[2].imshow(preds[i][0], cmap='gray') axs[2].set_title('Prediction') - plt.show() + plt.savefig(f'prediction_{i}.png') + plt.close(fig) + diff --git a/recognition/OASIS-ImprovedUNet/prediction_0.png b/recognition/OASIS-ImprovedUNet/prediction_0.png new file mode 100644 index 0000000000000000000000000000000000000000..f2558f489f38b26ae656d0e7bcabae11ffb6d3eb GIT binary patch literal 95447 zcmeFZXHZmKw>8=*C`m*zlA#F#l2me*CX1jTpyZ4a8zd*mNuUV=5)_bRLO_y828n`* ziX_Pbk|byN=6;@YzW3a}x9a}5Ri_FgP50hw%{AwkV~n|@w6#>u5nm)mp-|`4RF!U_ zQ26gqD7*y1Gw?t473n7Mhon2k!2Pzfjk~8g)*5xg+}*{&+1t^rlbVWc| zNI;CA)z01B#Z6LB(DDDiLckeoE2vq@p$qRq-zlar^vx>pb$*qG=}$|f5Z0{$Y|dEk5`zdeGDhy|DUhmDlx~4`G360 z1A|73|M?^97ytJy{(Hs#cP;)CD*vCZMVhp7;lQMd+`dkrXWqTH4aYv>S-r}+dQrKMGC8R0JZzfDSz>)30Z8+~P`P#U)vY|Fu z6&=iSG_O*(uMlpYc01$42gy;75yzr8Z^Fi$BF3EBi*)k-E;|P@JcFMK^enlVF5$-I zE;*(XsI_VHxZNaN;>zPi3nHD6;bU(laOIq$-tu_x1~I3|)hlX%CG%E>lb)7INJ zWy0WMzJ2?)>8XDZ%5peywtDY(M%(nY2R|lC+nHOAcE;mz94gVXmY-rJa*qD~>=v@6 zk=yIMDP;GBwbeq{?{CvtuRq0w@8ClGj`!x?jVyD&VWBm0!OQLE>9N@mcC3Q$NUyb0 zN?=~wT_w)LIfv2z)(si2AZ-yMZOJTK`c=oEZ|Z;T{{8#!{PwWPsj08BPuc_n9&tbO zqww+HDcEokCyi+7Pc>e?^1CNJ&&Q$S?%Gewc=O&&i810Eh3mpsNC$R$GQ`eLx5uAF zjrwhT{=4V5yHyhSIMpR@AcX9WYJRG7W-uU)(LZpa}`*z%0*$)THG z#ueM%9`EvpM_YrI6OE5@>!zkGP>u0{htno}kIm_Rf18<%U{Mxl{PgU2vygv{7!|9` zu~I!vrmL?XV|_JX8SZ&wt}mi{w)x?p@!5&L=YD!N92moQTP#Y=cK=QypG$<%Y2Cj1 zR_0)--0)x^4kEEX{`tVdy9a{;MuA6Le|_rydP!GLhBJ^yDd~=Unsyz9_u>%{2#0sI zPBjjPAkCbhzqMo8{p51>_V5E8ZS5fYfdahwvCOT zFT2m99M632)%WPHUvG_KyD!hr&udo{@(>4Xmp{vS`I6Y9mWkHHi%rz|S7ycdTakBn zN=zQ_ZOr98e~u!HI1Lffi(P_ydh07Jw6_Yxti4)Rf-#Wyb>o*d4}anO-Yjf@|QT9ncSY-Eg^{djHo^SwQ# zx`u}D$3A#->8)?KtG9mKgAdT3=;ABEcbUo;hTwb3Z~TGkdIVY93$>&;`&wPzFyym_ z-`oGQ{s0gEu9WJ9f((~liMff#V!s*#58DHu=j7nUORsmh?rg-E93F%ga}1&ru!^CbR;N(Xe;ZHl4)q0u!WKqVl$9 z-&Fl-4kjScHZh5lTK!0AZEgMY!$ZC&0>;tEKdVNuBo`SN)_&Y`o~)V6mb&koA?EyP zb75f8qt9q$`7@g!2|K$h7s9A2gy{P+jZhbQP^kPn#UPk)* zg(z(Y(G2WFBVMWB)}Qb2nzywp6x}vGX*oS8Ny+3VPiWRCqm)|Rt_Jv@9E|HbmRogF5CpB4KReQ_IDGl) z?Jal7tTH%87@fG-2gv1>ZNFm5VD|f~KoEqTek}I#N9|NJAJwxyZf57vY8|}iev9|U zZ@uwct{7zA@Y?AMJid+h{IyYy$SanA(@UN3_V#ArsTQHV^Zvhm50rM6` zDhqb~WY@gkzH;4!T&j=a2|QXf)$2A5JbL(j{r7L1HV09@R1=@##7?VLpPli*hEwu; z!-Mr)Pu>{S+`3kff9sOf6b2i&cLofZuAR|OKnQ2Q(Nx7}Wo2UJHq(Mj@F2Pp6_u2U+^UY_n zOupMoop+u4b1_A)UsJ_%Yh^~NC2^S#m0A1$QVBQLx_Rmm3e~vaZX+Y+_FI#RmNtfk zmlN0jA^6GVduKwLf}~ceuU8z_jvon7VVWSoJx2XMU%OLTQ4wYNyi~h(b=7Z9s=cl+ zdo!WOwh~ zYwN3aot|))EXB^MqZ&t?8y+jMKY~Au^@azNgq`8oAcw%SeuK%Y&g8or_MQx9me%xV zvGLYiOpK7%U$fGWA3rhr3g%ph z*jj|zAAi43ozA1AprCN)6CR3`L6rZ2p`+vFy15-GjY%`T4U& z0$kXazxUS_3kogoxVj22dHD9Od5ly#ep%dlneIRzz95IR9KT<@gG_Pt>ea~hXMXEM zNOkkx_#I^pZ{AetIHEg19=N|yxcj%|yq;q}zgUe^HN-`E_0BI}^QsY7NF2Gv#g`WM zEcZnHApNQq4tPPK)9YsOp1A->P}rnq%!!Jcda`ck*X=huGf6j@+b=MN4+kujw(EAY z_;2=4JCzqA087((4FJ%E1^0_`M+-O0vo-Q>SsbRx_=;+BQ3f20jKBP}kR9s{n3EZ) zIw~ywS06|xj$p+ZQE{?1^rUBu{MOpM_GVM{-i{R%a7mvWZlsAiUL1AW(K%=n(j0I3 zcT2*_n4$p>OhU@XNHe$R#mf>u>x=MRtG*l>L9cW+iqhSLY4&!0bg!L1AX zY})C06@0d7LGbEM!wD0FDi1$@tD$Yy_XmcAu+x%obV&Q;PNd(~{Ju!aBFp&SpcA8` zt*;+3_biavr%slykdu~#R-iSE)+7?aoJauyWEvwj?nf!ua41s0k+oX1UhGuAXLGm{ zcp`@UC6+~w87dL8$I?&N(RNp)7C(LPwkheREOIg~-7YZOTc7<|@nF!kYUsAtk~LjH z6@u5CYG!GqH@{r}S?$V!RKqk)uBFi$N(45nWsD!5(Kmib9UT+n+9$I!krTm;)JUPg zV?T$V@9;|Mwl79UM}HWLFezzAka8Fa?Np{)Z__!k(V+EptiwpZ=489vv9PGa&!Cgt_>;z! zvD&rY8P3FWx}M0I^69@-f`klfWIDN0yZUK;w!742Qn9o*Mc*U}$^uhK!?9%jdP)fr z6$@o`koKmb;I>0(h9SUA4pO=oSarx-vVUa zl#*5!A#IrnZ-??sS0FfPNSMygb>nF$5hd5eT06^Gl$8iQ^bynBBhKw`K#u}em|BE1 zPns>!@Q0I^pA`@*`xKUeo2A=jO80k)DCFT>M1r+O?e5uleUhcg8$f4g(r?i%Ux6=#8!Eev`6}cd5ob zjGcj>POA?_?jmh;W@NWxlNqWbZ;#EDPmdWQX1h~ktf43BP8DpQ=}dBSvMe>2@Tk?3 zgX=5gXqQx8-|c|z`qV!ctZCXpZ=gwo;Ntr2iW2j~-L*7vS9SyuhqjoHy0n}-8oLG` z6A;m^ihSB%_*vLWPWU`SzXc6bMGXxSX0Hi6MoD+VxlA`Q6KL;VYiq$vuUuf}K-RYf zSsv1X)Omo=`?Zuk3m8`Np!Vs7RVQc_E>7$m+Hjiq z{}PG+%R2stHv9keTJ#D9Z04~j6b=*zD96&VWyiN!>~2>zoO{-Hws0V-ErvF)xVV_b zw+GGz_P-K@v@B#yp*<9dfh}vEO8lp$kh5)lXIcDMvuhXM*8W`$JYo0;4M0`NEiJtO zmDO5q`w6f(Gfl{``@dO}0m+&YdvuSLlT%WxFYg>2?T()unf`;XfJi}2+zi~ORE}ee zikCa41E6!KRwk#qz$Tr?L+Z;kJ_3vDtB(khht<8dZL;V|JjW|lfstB|q}a3NfIDRYwPKj|ll;h)T% zb{tOd`bsP`eUn4B&)SdzUYPAe{P5w!H0YCpn^?)1B=O6KNJ|D^4HvwBPZdGN^r!6e ze`jSVG&^fLKzW9Rg%uSQ$?NG+^YZacZtR(r51CcmH7_;zKo#RIY5c?s6POg4PyOP< z{fO2}Z+7!}qFqezBEke|O4rZ-TS5NKa7pJ~h$iVjee~XF9Y^RS;AOO-W&^Lr0`yz^ z_uu|IV-Zjv?@5#4pE_gT*sb;=nh(>A6sL3 zH$qRp!QS+4jyl}CI$6z&cPIZ;YA&(=5l`YKCA0v60d>*>HyHvAYHzRB_bNMJXC+S|T({&RQ#jW6WP@D@qAsff*YR>pR_^y`CNr$04WiI@Y@Hu&fzj533c z_h&<(9M{e4(LNb#9|nq>n?5qH@4Rvmz*8BOhuwg$JmtsD03A_)(oc3yj#+>^@c6d9 zUNGKb;n{}A3pjQ1N>K2KFe>GWj+ebltHx%8<5gpe*TPv zWI+y?9>|_^(#+?bJ}hvJLLfrp6FRc|3E{yylejlXMZ8I)w96Rg?PlTV;X&K)BF+dm zk_J>hAo$NAgJFm5u0E~EG*W{% zuqih@6iwHBc}sR!6sOuaz1C<`-ZZztMiCWR55zm*yw+(~_=^EQ4g7ubTdu#g2>s7x z52Wdm%p!aI_%Vc9NSno@@At!+%;dR}E*!)wu}3QBsd6Pj9KyMHiB*)G8>W!I`y=HG zrv0+i$5`b&@l|wJX~M(x|HOJ|`?QV>a@^9x%+r$2Ko+GtOUBrUv>BC^qQD7RB7`aQ zEILL;q$sZ$oXYdT#Zs>|3%EQ4xZjlBvy$6++DVX7Pfbmo^Wnoqh*iQfAw?x6D*pa5 zQ)|`t{jmh;nq0BWG8ch|jCr@sKzauM6dq74Y(ilz=B50MWF(Km7;mYB470JREt)0D zEhQ{QDKQPFF6oxtedAJN1awI*C1?m39W#-1 zv#JsEio3!Vt%NvNO#8(sB{&Q@0}GI^LS3k%l*oz0LJhb`Lf2j0^_Y2Bgv)4X1=*u5ok<@u@BTxI3$`U z-x-Y0V$EA4FQkcB6Tf`*3K#}J%VB_|Aw_I&dt4P0%d4o+OS$$P;&~%52*mT0E%So9mUs4{sMI zlgG}F)))z}Sv>Uc$j!?;-DC!mg5rB1{y|Iv1~9k3NL&Tq*z`{W|3~|hQvMm-v_>r% zk*&1!X~?urRkaPZ{ST1iqv;G4(@muMZ!<}$MO!p;NnksZ=LEu6vTR41$MyaLO3k3# z-4vPmgZFJ*QK#5IKqqAVDQE+bGkxO5zY52niscn zfzUhHSyl1%l>!#vk(CHhL=z$5ukHXGAcBi5 zHPEasNbE!d6WUg9T}V!l+-*TQtEEGh0@*<>Sp%a;lXaRmpCn8%*Wa53E!%&5yO?Uz zr;hMm;f8ANbHHcA&N^0f_i5<`F^&{H|Qt>3?opojMNpAp>zq_64Y zgVohM6CmlhT28?-v7@KR%NiAPbp=%7S|&ja2x*zrCQ^XA3C&4ONkKFjARZC!w&4aB zCB&A4CaGb&!Y4v9;xHo)iLMjv^{FZQ*9GIeP?d%!!ta zhgTt)fI(7AA|@ul7IKLdyFz#?eVvIQqaIqiGw?P8|OoV`6JvJhX+Y&24@T}K(m81s83H08cteL>o+-3_w{{m)Uyl?m@uJCCgd%u znAcx~wd*f4Vo$Af&{-+;Bh@7adJUsRYi-P#r1l7X1!ETxg#Bp;t=eRqUHOAndW3tIb)nRI4^6QNkHCcq~ z4?|nH^l9{V9N=?8XrMI(pHq9O7CpB{D<`-`gL06LT`3zJZ(TqtKacu*GNXYXLj<7U2pdUgQDmD`1pK8vcj&H|A zWt*)0+0qhN8Xz^H>^b3EQFzk>zsi-4U1G%jO?@u9&)&|l@iK? z701=8(RcvDBo9Vy``vg+oiDm@80`^QT*hbL z@9X*J@tAUCX>l_eU<0k1gvbdSAw}oqT_=qH#vEn9$;oM9)3Lwr0~`+EoW@BPRyxw$ z^77j~PCR`gJR||@dwJ8}!hfAMyAWf(Pngshy3r@c0&qg+Zo`Wg_z>4Gt)p`hK~#FO zUNcLQ`qiB`Q@0o)p~ND5DX6bH{=fZpCnMHi4Wruu_Z!rDEDKlp_hV=$fjhl*S)*{E z`f$BFzM%yY^coOaLfk=>AGJ)hazo&tfku=cjDC{#*+wV$4hX4i*TbKKmW4zZHGtJO zZ{7g5f~pJ44Dc$l%>u#uPEMb)WqiN<_z@1h0o&cSe?Z%0HG5MCqhZ-?wG6qG2ix*B zREd?`DoJ-5bGM3L#4GXKy?HN~=WKQN+iP8sx%Ie6%t2z<?A;{rEEy#^+%SKmA#(blx39ltM1^#N2PX$O-)U`e%KCl7~s{1 zLvh=yM$q|Ae%$Eoe%gV=FVYR}qabI0fTmy)v>SXBLMa1=-(B%+AZZvsk20via)K7= z*0UV2>O0=@CFgqEw0TQ7(zLyN2rcpP-w3%0pqKZF81Y(!Y()S*1^)w|0Pt>litRJL zsXkqlr8L9EzSitiMKTu$New`E5Z-BRBcoWjQBa*4?^m1(BG(4Zu+;y+17H;VAJP** ze-zMQ8hLMPYl|Jp4HDyOWVg9#lZG52eDwG^jU3|Oi-w6fb(`cgD&CDNdT(-rX z7Eh#a&!h`o&lz8h7+GFfb=tgW+qIikLP{@!-x6`2)-YIw5@&_zHIpq7ElyP|4~;Q8 zfUyKKwN0(hoM$G59D_m(53>979E{Rl?*@l$wQc~p5Jw%+^5|f-fo1&UcxNq-5?gfmC%E@w#TT)sW*)cJL<>N#Qq;N|6Qod(d34;23WlJ}o8KV&)qs>Any zcyX1_B~0)?{eoJPr={zD1#wf$q)X%6hWY%L9H@OkBg-^SMbHGRqEErugmC{hI0z_} z8k#d`R{@4W6|_)pl4oTdm7e*SyDsHzql9JZ+Tf9L3WMeD?d$4noh#Lx&?Jj(u}-^M4vj1tJThvrJ`JVJUj>hFent`KR3er zGt--hxk^#mF{?bqIz|d{k0&l&4oXERxU7KX4<&g6AQG;FeN%><5Yo#_d{x8DuTN;c z3U~Q`m+cdZeX0<0CQ8_6rUN$>a|$IxQ34Q@u+HRJ#d2w+X*CcopJg~EYx^GN3HieyZOz<-9#pXbz!^+f=f`@PW|XS zr+oCpRxr8yq-gb9C7@-AyX#wMbFE{Kgy6rIx_cZ%Nx1JqV-Bst>pOgaEy0ANm_u$P zkXn6w)iTK;F#e<+!Os^*#2T64YonH@B+g(=wEw?M^_Wak|57VQrmXEs->$nSbl= z!I6XpE##q~79GOz!{1^zi_T?fMG%nCpitR<>zz)vmzVei>Nam30#&G&;!cU!w+yspl;dPy-SAq|t*B{;jTPH}FwOz}f6v>JJXi<4VEc#O>FK|de1Y*IDpgEI|X zJ*tc;4xm3mM!qv|X)ObOqM)E4^Aw<6AZaY5$s$^yT^rlZhhz)IRpS2m?A&8;x`8%$ zI2U+qd*>O$#fy;iY8}Dg``ZqnIMSwh&8F!4y!i~$7P038V`JkgQ+!k-Fnxc)1ORn} zX&?X^ulb$VhUL(Pwz@%urV#J}>j(q5fD0lztg&Tjtf~D&4x$$-ouDfQP*qkY0_tb( zyLZ}zB53taYgg!CA?HA_!tYR(5#$Xadg@USq22k27Q%=Y#c!ns{1!HH6jxQz?31cw zyoD(5;W#C}yKgTSo_>y%!;M6%uiHtz`u-AoS*NjfsUWfYLZ^2=bxG0c`?s0Xm=$3O zo?n0^kNZEom-}0YjH5c3^4?+3v8(smiupKOx!3O+4mIIIy-fSj>sB?89-7kAc1V6Gik2`~O zet5jouv z>EUx{Lddn|C3xxI-+j|8jLE%l#KoP?kH(Qi;-e{oX1*%y-(ZhkYEJB)RQ;RS#{GdF zJ(s$~3jtv8Y+lBag+6S5_S4FU)Y%=x}+6|hPZ*cz9$Hd@cxUtrdVfR;S3QYA^r zF6V^PIHe@*^Y6@VI4s~}VANB^0;TaQ@WlVSPtCUXh-1|xXty%5$GeuL{8?J%d@<%} z%;rLLLVmk0e%nK~bzid~uReJ2;0N|4+5CNn^*z73vcSs?$6F<9fTb>?5Fg8^`@ju^ z{I*esvvU?XJ7+rt*u3doc5Pa0%A+)?;@d-DlSnUKC7hj|ZKlamMVo=hx#a^zr1kT4 zxS*#`pMC*%EVRkt;b$N+U#=(2tV>Y@b`1TihKAWGQ!4aJow?m5%X_tfWn1>IqA@~pyAzR{?O0)-*0hBx>e}rs?er_6YHxx-o ze344*2=hxJM^S<*3hpjmidPZHQCn``v806o|2jZq{`IqJ-%s_7|W4Bvm9<(d#Yr$&{Rei2{;oE`wi z(#-MXsN%!KP#KKQm!YBJu8T?CtoAZB_=y3GWD(?Rz~zILI2I{R1qEk-$bt<3(>0_^ z>NJ@w93eF{zfM#%qDMj%xNfBY!uO(pkY2Kw>34{J?0y^R4wf!3WqHLQRpED&W zVe4PcVe7^}+`nleAf={8Zu;I%r}v>C_>QTlsN6?XhHciS+E78@xl~JeR%i`q4zV_s z!ifPl@Me+Y6+m91z@E!s^{A<+pllwYHzUo{{32j%W#P?FZsu7JJuglBX>?m}{)lKwk&&jBeU6P>7 zW;7_frw(doqB2Dls=`hFp3U`kp1v|d`DDxAe>?%yoTAC1#aaLbQ*9)Gkdy8@ruHnL zp#TC0H>lBV3bNvxWp*kfr^(-5p=g2g0kxP6(G5VNg2LWmB?9mQ8rN{G!Vm~9V32@F z#2EgGW0LwZI?AuE(=z$a#j2Bxn1ZCD>6p|_QrLgro!_XM9E^L27AER6%9Gta`|eZ_ zKrlj;r9a6n@dX7dRMK;L)e!`K{Ws!^ibr&mD5=zLN+cyfT)tREWE@a)vQs_%Oy z$Kp|2H?r);7Gn;MFOxe$BFpXfE2hA@OVMrWH5q34ixzAcXZh~DZUpt#_Yfv0D7%3t zNl&3~1Dk{?(zhGSH>XrOXag0Lj<06M%fr(MCrAi6cq7Se78fM6*Sw4(X<!r?Y7SNiI0rb6Q;>57mVkfyGKLZM~* z`eW>X^r#>m8I5|-G^HoPzNR$5AE{TrW59~T1 z=Msq}ba;gB-NizeXOfdx>=OEy* z4ibi@x2h{#5~jrB?DM#v zoV8U}ViZI^=n3shnE=&+=4sXzSc{J1WR53MQ1j5iJ?Gj6AdW`~f>$Z9J7?qDGrOz2ty;Wd?+y5&{fDFuTo4RUkOzNnd~{j|5D}Q=L9PQ7 zL4qferPTrhCof(oeN+aK9VxU!Ls4K724awnia6@QXG)E@xV^_SQ5W6Kp5uwzBQ{yA2S zg*O~6I~yiRg49PcX(E-ut6R@q)ItcIkoX z->DeEsc;4-Gg_&ZnM+W$V$V?c6AtN2yNI{;xI*&^av+_M845aJZCzb-YXXRLKp8<@ z{#OE@m}m+ScbNzxzpSc@b9>Emnir=ERQiqNM>skqIjol#SCY;#aou6=h};3! zubKumm4(jZ#V>^Qg{q~co-q~(JiF30%FY&{z6=zof%07Xs8-p8qJP10f>%EEH`QJC zL58rQb_-#gF#+SAnQ}XCE$KX?&cQc*imDm^E_S*tg~j6p0%2Z)e0oCbM+t8q0(^yj z)=%~sc`N!S6M%N&ITPeAIj0D0bme=*u1^hT>!u&JI1$H11WQ2Vqtj=jtszN> zjk=tsxqKJ#e}M6>&_BWZce?FgU^ZAD$xpmkPJ$7S5GaZ`)}~Y96hT^?K9D(JTR|U! zFDU2Yi?7SI4Gk~Z{LnyCSa>uU@P|VO31TTCUe?smL!M=Ci5}J1#8b%Lifg@$UG6ZS zoQeA?nbo0yNqDX(=7qNVa)X3OYyEL_<{G9s)hIxDDjDjS7B_{@yf^k1E{K59^*yf9 z8W5`lhYAgm_T9o{qXN}9o)2uv-GrSFF>!oDIh?jmor8My^eKJkj&9^9BwxZTcjbp* z>FOEfZvwv!bUfSLTlP7hZEjcKv3yYu~wZ2FQDulmjlSVO+5H9^@G(5Ee+l zBMk#{{crp2lze?_(|F{`hUA8C@U_fP!XctHcE@>X_VS^c^}sr*4U*FZ4rM}GzMO~o z9-L<$Ze>E2vK9{&J^iY*R41h&-?2&x3^O{nZn0x)tnB>e5&edeTdNf;E+fl68KRDg z#>QDLnfJQ|tv`@_NafynzW#TmR}dKj1QSqXJFEo@jIHdPZHI{|j=pc6Ti^Akea8=& zLF<8%eNd`jWAEV5b7_6Rb~&k&BVIb#^msiLd;wC$2jGSLiAYJufvVO0HYPd-QlCX3 z91z(`Cr{b@??ls7i!Y>1aG@ALC4LqA@Ktird9tMjcII7$}xvy3tO+Y{C>q8lUa|sa3Wnbsn!ZmWzGZ)Ar5V;&uE*#94r)Fj+4$Xv$ zcpoKil+tlM6TbKuk<~w%I9Dy6gHi+}tA5nIP!FTU=#^}#;bY{3W8(9TS*vQnX@)Q% zV@`!(HZ3w2;rIaaXFDF3uZjCnF|rJnl!@n|gNcJQZ9%2!22x7F_fFl-&TDVJ4o2nCwbv=QdWIE+m)Kr8bDfAexm zy-?2rI4wvwPB>!pu}`807sKESBvokp3=Qdl^NmFgX$BXsK6HWC!R!NW+Ws$JSZ!!w zR#I{EIVm5O8|NFT#6>|rqj`x!ea7%a^)QiuYN!}r{<}bw&U+J)bgH*ZAkXZdF{Z)I z7@p}&QCd#wR`Yn!Uy1JO7`eSdP2~Db1%}dXfi~nHF5z$dGVU%5?6~;Nn$U|w67phN zWknok2k-IIK#2y&+ni(71T#WkGSw~_|RT~f(dpPAmcNy5HD02 z@B?)^wRPv#tzg(7(9m`D^oSH7pC}J7J$YAhI#Ze=s->!9cZMxKBd01eOUfN3tj5**N_-Wb1n_8}}Lk02)@^%sj zk^zTat`5*38$V%%m_~9ld@|*r{qk@H|GO)ig2FHq#_2G`IR`AR*L+TdPqA&G z9OOc`x!%urkHOcj}D7Y7%n`rO1pgl>1LQ~thB-`U0fF(j`^_m*P>bF*$e5XM-=|UY2<&8AZoDv;v}BXm z#^)_XF*x&8$xt_Gqp)LA=_n=3a(LqvhR>>B#4z+q#%B<;rk)zUxx<#wdBAx#)6cOe z&^@+{mD|*`>pGywQjsjsrsRc|Sz|;tnTxJUC zv}y+M4^F~?kn)trP#-})3PqtwHkEXAE`aw0+4*UYT3${doM6d2YHqx>{1W}Jaq@%# zHUTCi>N*;77T?3rw1C@3Ao;x^Jb)OM-srgk2Cv!-%+>EKFPsZWWz_rVXL~q44eYogDW4T4HX=T!(HYvp->;?X2+t7L=T-5qKF9 zlo>eT7KpHN`EnQ_Vz89}mjO~*$iEWy(s%>QxpU_%l*J{wqnmrwsuRl7gE&qRFFz~8 zz3;YeiWrqByBCGerN}UKLtzSiRi`Ek#M_#PnZ)ZcZS1Wyj$dl|dvxxk@>k-#Y@ufX z2UG_~jEB2}ZuF%XtFkmMmWD%vMYALV{^hM7EAa_!S0!!H;c$qMh7#RHZ?s-|UxUwn z8zbSBy?rD8dQO5tyetn`M8LKM-2yoA*+F3kvzk$b5<6aeJ4Y707 zh9|rwl_k!`VE79fF2N8HP|P2wOHdWNZ1FlZpdr!;TZDQ^1LcK^z+93z4W|;a3_=Qk z@(8nAAwv$IphrNVU=j?OpZ`GhE~q8n9XT~6CHlzV7(-Bt03pRYAl^U}g-gi8#-)F@ z`S#<7hwq^bhMC2;>|>!j=fywnlCJeAGr&+XGz?%%3@4=z9;@{{EuNW#vHS*OD40&L z0UseVPcD$nSsBTuVY)jUS`@K{z0Z_RJG2eE1Tg=IU}8vUCiC{kLNMil@Ne9sao_K^ z?bPqcAl`oP1$zl@#+qxL2YtTRV5W!5N0X)Ov&|JCN_bdazkJyYOCV&{h!Q5b13nV~ zkpMBH0AIq0GU8SRy8s-oW(6fOZshPx#%*7!jkdyz!e^J*P@{1O;>g*+MoL7}NcvWJ)1UQ1Lf3h`A{()#r6sE1B=91^qYI!U zLGLxNpafhK5W3_sZ6I`WG3sGgZUA&pQzKgPkb>!|Fx98vA(%#IX~nR5OKR;IUFqrk z1b(i{%I&n~FkcF~fU7e*e&*(E$jH+_Dg&3pX!Qk}7!2Wkpklz_w1oYn2z)odDJvoa zNV2H79>2RrM*OEny1Tofy9&_scXD*3UY#{!yb_CwP&lZevNq|6aXJ-}5nc#qe86OFu{;1G&Yov(Jw7_<2lF1Z2Z$X6_({K?m0&Ql!O)nh{(Nqo zjIpk`tC#P(sbC^Ngw6?7Iy*#=e@<~wGIho>w#@=A9(qiRAINFOr*%w_Nx1@RjPvC@ z8xL$IiUx6ARHsrcLHkmwRF@VvZ%7W~Wgio=fIcgc=2Aq!*w~v`^J?u$g&dAkmDizy zel}E*t^Y}z1-O*2!x#&cQ7{_;_XmsxE4Haam?ox8SL=#lD?3|?xfTsnL~!8u@?yGE zsDZ)2MF36xrL;9SD7@@w69)8zD1$}>|Z#mf6o=!IAy!(Vqd`h`mj zq=T;z#?n~XPod1fV*?EBd1zQ)U|%qUxrhnCM&r|K5B|c)rtnciASXSnjy$>MWuQi=z$^24dn>K)l)P4#Hef8QNUs{nuk-zLBLILM;H~ z2c~rwasE&)i4YChc(D1Tcw?6BOjXt;@)k9_i+XO+TvAIwoA<8naDc^#CME|MT{uq7 z7)-hT{!sw%)L>X32j?2Jj39_X{|rVN;BdhyrUZ>PxP!^(!PucU8-g{VsjD|=wa_{P zi;fJx0^^FZl47$4ZUneLBH#^xoYMa|J}bOv(C?H7`U?!*KKQ{8&Ub_rY5xY4Wb?P; z+iNg0i3;jkm~jy=s~1{$d2`)k_2Y(CYO{~P*hps0)X95)jkEFO4+m6W9)xBU&Z7+Nl&=toY-j9%1$fhGc za>SAfn4gs*Y65wR!ZCLOE8e%1heUw&eh^mv#ec4 z{#)O@7e02iL3|3kPAP%XTl%`VSZyoKycZv-BI5JP!A@K==T~6;kY&4csR_7#VW>ZV zt0$L;K#_KIY=a_JYTL&Q8V;gZ1L+CUOQf`}fT|&%uDWV(7EI^iUoc$CmBl?r2X-qu zaXeK^7`;7n$QF@k6s*F+KkudX7mqAP1gHc2$nIcVCMW0Wv(`%yEo@5YKY|h^Gn%}T zCF{rRxJdFT)sO7`TD^(6jzKLeobU?84K-4Zer}o=BAoJySdxE1pw)vbQ!fpSSaI0o1{bk5K+o!#OD_6Npuz~v9~ z*pIqr5jX3fKYyUv!w@-u1mp7ZQgkk_>-S%}<&kZh*T7zJyHE?-CIXb+B{9^bINFXz zilQv2<%(s+`}aj$&l1?G*lWxx+&u@t)alyEnaa3m-UQ<$zdm{ck7)40z1Tn&b|dde zXTt90{$fdtbvy637X$X+x9@(C`kg%*%KUi^bC4|;SbyIrhr*2> zmbrIW=d*PmF|wton*-nk4>n?wmzc5wM6g^;Xw z6j(Tm)h=b6as+cztOq)>qnCq1^!@n9+b+_}Axdb8o0>H5W`>9@OX-4}p7Yqldrmp; z8O+o1u*4VveM(ClrkkIJ(mhHDOq$@B%j{p2?g(Kqg)JX8)lLc9^$*}=w=%`?yo9MI;C>cy!D9>z3@`(Q1U@`(<9$^XB6-a( zErmkIj2K0fVIasNT$AF*%+i%0K%A>WbfhrwT3O9Du;5N7fqjv-7te@u{%P zHpL!OjF=JuqDZ(AES%ib*L-@F2=xw1k;70K0d$`TJNpivY0(>OuH_4M^_7N`fYHE{ zBa0!h2@1i4{p4<8nOQo_?yed-zA>()fg;6+)We?+mD4LpfVH5Hadi&-_$AdDQl#E5 z;-Lli4tKonV-X z{`d-LOGN&Jr%<(hc(@4T`DdYMKpKVKDyP1l8H^Lqy@93xqd0JyAnQV!28C+o7Vam^ zQRsPVN9Pi#E8T4bb9tg9}bp(?~)s#G}81Z4lngR10ZF>o0X6P9lWnAmEOd^t_NsO{@MRzyW1o|&iI8|yB44n{Ie_`sP!80^jz6B8p0&$NQ* z0a6eGsKr4vudIv$APZ=;cK7c$LqCQX7A6^!33MpFtj~rdfYImk5095H{XE?{wcagA zYf-0F*aEx)ywUU5TVQf9@t&ndHR|abf49Wr)xR`4)fUrcunkWPU?nGHbZej$F#5SD z#sQvHC;`ZWCBhbCGd0($xc)6TV7O_gGMh+_@L5Hh?E@>K#|K0J=^x$yH*TjqtCF5bk{5eHGk zR0;3|Ot$Q(+Sjj1VPT+f}z?x=uk982_o%gtKvg)W2cSIlt_-TDj(7n zU_@Ck)i{?;C^rXZ4l2Fn*=J4C2x5;o7iEb4mhe|;@7}k9%Gmg0`=m&&laS=WLVDuj zZ^DdZ93ad=4>|f2Jn8BiK^%KV@9RW&x61;8*DMUW(4|-pq3i5nc%$o z{(yl6Ktb<#ePh&5cY0$E*1e=((x01kllOnpcQ%FW>p8(UH*1X7C6c;j)LLJx7s6x7 zk~;A-K65Glxp()jZXEwm8^+rVTu;i7IS5mn92{B^G0J^j8ye95^B^dRR28k3g~Wv@ zrvI9O=Sk_-jThd?2nPeL$(V`|T`N3efrC+dEXq{ooPPs6N~o-Ucm5pIs!&!+vWR%K zga!L?-(YAA;aL-?iK3>i^?;)QITQaay;4U{=xD{X=+Az^B8#je}YSZv|L?h>@>?2Lj;uvb4-|ncGPQwG62`pr6RIY_AX^ znL+2yop1=D!xu~O=KGWg>^vn=uF62OoppB^;~T+iM@*0+}-DVnFDoTd&rxp7R@-dpVc1p?S=Py8%?nEv=y(r3U+&%GXKi zCN8{5$@WMc0jBC0q_gC8I zFjt9Fohfp3zs3w75oKrt3i|({={(@6?%y|l&`y$y23f}lNh&K*_KJk0P}!1jj8c?j zWN#88C8CIojwD28ij2^*LPnVtssHuq`Tbw7=k@%4&oa*Wp3mpL@9VnW_foh@hW!?D zfRj5_$w(M}AjEX9EUA_F#k~4hlYN9~wt(`)eN1O@9Kw}iXlMuu2|n2*@I|_;j$E@4 z2u}dsXf`boTD_K{a{tD^2n;5LN^fo_4rxRp4n_P}k-YipqHa+>cV4MQYcpE6TwSt- z?TN6{>I3nk%YEts)1Qx^;e9;NBz#e)r;c&;N_)dI>Q{RQw(xPpa~kTVhl+iUe5Y2& zJ52SB`mUaFao|jd3SYL*MYdb83y1sX1|n1tq~@kWjf`T2qiG$g!N@(1{QGVVa~}RX zc=+CWqHcW3M?Bvl@6*`X)hFQhjuec(%NMm_d>^_2{xDwnk!M zJPn$btgUo=AB|q>zN2nY1^_>jTM5d~mmbm8=)z~p1SK3TDk+ z_N{jxOx~J%YZTCl>4M+)Wt=QGJA?I(_l}bH7+AItMAt3Rf#P+Aei8gG6I>d=uHg2H zzB6}X;*Lib{)&_JdLCM#&7^wDuAGz$DFNj+BvARrRFlbV0| z#&LjELl)wQ>krQ6qqv#){;K1T_+vKz6`+OsrI*A#axMypC1)5zyaXvT5 zbJG_$Kh&6o0b1W_A2>nYfIR_^3x=-vGamYt39m7xePsVuaO_<^6D-$CJhxfTU8_u^ zjYRgVdkECC2zefrBdN%qI)7EAICL=9fz&Zdp#Q3y^}&A2x|atDP~X>CyHgA|AM-hW zoiTjHF#bB+*i)2g{`$ib-mFnvp0s*F*-X1)h51JZS%kmljSZ(;roWeDE34BN z`gEbbQ;+?H#*#bU^_}YMPYSE<7B?BNyvyvQqxeEWfjP(jD=>*X_r;79)MKO6zHxh4 z?5bV$>PzO1r*8tX-;RdfVrr9K-Q9T$B>~B?Bd$QCS{$n;mg;&kiQF^B4~|{M2Nn3l z1GAU+-}(_RufLSiF0+isR`XLW_Z6}7N$x#%tT;OE$X#~yIA&b=1D7vSR6rTsId*T6 z?*M$jm1sAEVY$a(Y@qBGnxob1Vih@g<=q)K)E7uC2>)k+sRRB24yG3;oSwNi?Us?$ zDMtYpAtwbp=mvK7J{SSAva`Rs^bi&zxp~sf0yhp8@1~ ziL2(jc#mDi_IL_uD!0p$tFFJ%uo9p zsU6txw(dUlb+fv(EH&6oK+E2VbNHS0Y2nUSOM`3*B$Skb#IovkuW85?J8mPD!Z7W1PI;SAqGr|N0Q$sr#|fw8uXDr^j*8 zT$d_1z@I95rg7XOq*bvrzQxW^=Erbg?ml`8L@<%nhuF6aCQV_U2(tpHaPA*Qez%Uo z)KN9=fj3rzl0U!Fj25wkKR1(Cus@)ey; zXckS_EwR4_w|#nuxZIbnTrwBFf=T!jSPB^^PS0lJ8%!SK^91i{mU)6%nCmZ!?9QO| zBM!O!87`k;w_snd^~MRFgrN08Br97H^;f7{sz@N1?ngxe0g4C|Fmc;dAO4fhb#?SW zRQSh=&KPyfNhLjObR|f{GQeL6Hxfe*e1M#B<=8y5%|9jq`ri|H633xS`l6~c$~McCJ`XE5G@sA}=4+#8NHcI#^clxPI|nKYXswb@6MFQKc3_1>E=%C9@UH4m0l z8U;dDoQ6s>7wufV#j;3m1sTYshz>h$t>FD|?1ZBo|z>bvaR9t^15alXu! zQOF|R-2wM(k^$S2kwC3ggWrE3U)dl!_91uVUVqOrt-QatRI(Ox`2W%aiFTh9l9pPfjseyWojfo4C%C-r*C+6PJK-+U_ zF?7Xc_Tj-GT8;^QTTQgZz^4VASuh=9qTo5j&`h2f#PCfpS9#U-1ubLgvx9pRb#BPH zXJ#8hN=|xZvu*goXwK%TQwEb-}03Rzs{oM${!y@08Lx#slXM z-JYUpa`}I39P~3(*d9Wq2G{S_IHSEdTvks%+1^N!&J4G{L&t;qU%Xe~ zlC%(uiSQ(ut$Z9$P@BO-qsGT2B!v8Ujno(BXhb*1FdbHdAeX|Nq}L#PaDcYG`S<1L z$J8EwX`S5W80-m~lY>F9!DTCB)Gx5=oS;v@dL6Ufp>7B#Ed=@vJB2dfb@qR(U3>XE({CV&xG`=Pj>l1OdU1Xh1-aR+93n{* zB^vs9`L=H%r>EAC$8r^&8XC!^NnHZ^1AZ2iZNzr~6EBb&B)1Ci5J^-*o?5A|!6K7T z!}=?5$ug6|NLw0zuQH3>^6(YfGx9-Z#~H3wi+1a>tWMZ%WYrnr^?RTpsJ1`d?T`l} zDh$l{^|Lk7H!L3h#T_@M|J>fpGhUsoWLTEoq|TDGJdJIBAXl{nK*O4tT9F zjw27u`iY|#9i2Xu8eRW_me9n4!};faBEDb{MB)}ODIVyMgYE=p11=t)#zD5nF^qwq zR?~||!eMHIA(cO-o;bbLUj<`Udk~i&Dxgy!AKXx>{m}krHSTyIR`FSHXdZO8PT09< zhF%;xCmaPNiI0>zEJ*73X*%W$|K{3=kBR4fJ$9?4>n!SbYVp~wR_mUb@0U(V%^5=jF)|z87&?0}+AJFpxfZSwi9y zXciU!{(22}d3gUv#TPR|Fo9;Sp_wF@p3CsQH5FFpDG5$5o;*lgq(^{UR)N_T{C9@8 zhbe}+d|g}upMJ-T`unlditD`7imh%3RWHBE5K+C^q^@<9YeB!Jhxa<#PwBW6f>Q`T zXptz-#51cYdPLH|EubuB-5y+`T<5@NKmZ>y-fsH=0mnh5EuB z*PI<3O&gW;V48PetJ7FQ9Y|cma9u}SWM!<`(W$++9S#ktu{Ya!cXOKwb&Ux8FlH|p zet$TK$IOd4F=a|+?g@ui#nWQj9>(( z6Z2ax7zGLR8{VXvQEM`0$+rw-eFT>;YQd-P%ZrQIAw8;d7dlF94Oq*4xoMGk2_xwi zfnvdHyC&Zh*kJwpNX^IA!tD_BV*<8;@Y2^9@uOH6On#LuI+=y%{dyywE42J3qvzwy z+{@s(KK$fz5|Wr*UEAkKQ3p8zz?q`P@%uY*5`VDyhMSc*aX_GNUhP%rcFjRqGE#-Id10Sg!A*f0~Id*VkHI{?`Oqs`pT)IwACm;s9G!x$|OmHN$w z1x(i^QwGEY+4Srb3qpeC__-52QVUiG`_{tY$eNes7j}+kuvOWy{)X5a{rg*IyD<6o zV|RQm?8E89dd=#5)R#boMO%Hm@FTu(~qaQ(yvG^i?CU8zPL9X@kV6mn~o6W@* zNs+5}O+_E_Y!B>e914-Vt5I=h+NPwZCLgo~qw@H%yXob2udkX~X!zcEzf-Pus+ytV z^m$EaUWCX-!XMFWNRPm5gS!^bIbvKIE3Bz^k31jfJbQkE`Abtxuk(t^tDJ@?{}`MH zo_*@-O5B@db3RW96MlRm;m*O3zr3?Lv7_TC^kpanWEBIVHULyq-aC|3Iu`i5BwZNc zm37tuhG$HnI`A{(Jb0iJx^B328)gQ)-cHB5xRW7A(}S?B(gfL1 zlnV%xkx?9LP@&^ccLK&V^cgGoA5if`ATW*daoa2%*{$C@_C2wAeJcz{VZKkz02gEi z!r8)kaxyDk5lH)V6)A3@>T_M5leQ=~aZ@mCK$7e&ep6aM;CjIEZGJ;%%ULPXfFAgDOl%oWoCcZuTxUXTEbkWR z%3ji9k1hOVJT)08`bYJK77jupZ+RxqNi~W@=ZU=w0rKy1BDDV z#PX*f!oPg^vTf=11i%^)GsR#EA+##@D2LPob2?XRkFUC+{U&`<`@~CGXx#0WQfzj$ z7u!oE?K)kxq`H4n{Myw)M}*4}6mZ6MJY;$v16ZZDZ^OfNr5`0xvcpgygVLXY)8qPH zDXHMir#1_oBsJFV*YYt%Ua;@-t^IB%(BxeYnYHEp`%uCYB%v?8C(odD^&&DUN4nk0 zr5rO#YxUOP7$!#-q;i3wyFAb8RXNQ3Lc~k6^nO%I{9+{YQRVa8U*IdkK(y`|>}6Fb z<`M2C{zT|}Wq|!191Qf;Q34HRXG5P{+q^Xn2%@5P(23q&Zp44Ku)VO}<$R6^q6fuQANg3EG zPqz|Bn24sjiZ64qo^IZ~Rovt^A4kgA#pu@z`{VOA2Awn9qS3e6O!@0tGybkg!F{E6 zUv|@O*DDEf1)3h!s#-^XGQ5{>$Po$HIA_(qt+Su-%&@7i`jk1Xb8gSCvPN;muhM3& z6u!R?(2}C|sanJS57dKzDAa;bz%vk6!5{(v7yfM#In}4dxvi|oo8;i2Dz)yJhbscG z5@e#8FNa5sEyzt&1DeG6lZ8zymY@;_B7pGK3HSibQv>~+o*ysIK3kD(5&iJd9mK#A zKt-mK9&bb58u+K?XGU-kRl;DI>iWs7D9SQJ&?U}h;f6vfzIp!EyE&GXQ>=Nx{PD*x55pVV)J^hg3y z`eqdpO+hcFnN!uu@a2f<1M?5EuLZ%v_Gu`57^ogVVF*GOj=Pk-<7Y8G26ILZhc{_7 z;TGI~YeJ4Y@`J1-(0@xxI3OF~4kjElXn%NeiD&2($_2DR`1Fu!5L4?33Y+?HNpd|k zWLaz%ls3$`YQ`>6bt8TF_ho4C+(~nz)kgm0AKK2KUcKV;BRiFI0mzBN14sO$AYZF0 zD>K0|g-5qWy7l;Z{oJkVzCItDk80%YM?`zyK2j{G?0aab?O_#_#STi*h{Zp&8QbH@ zs1aEbnZzzC`;2_6(b}-Ja3-!V&G`?g*P9rK2IPNGjh&g+!LL)Ua|{@G?^zm-DtDikrEsWWi;_W{uO z61}}IHzrO$v5>>#eP7(%6`fpn{-_lnv7Kex?2Z&&l1KRlB|c%?eR+`b%oQ6@w-E-; zZAi&6dkz_xJWpi#3F153jLM=*UbU-tnZ>QX7zV`QkF379CQzbxou4oz_wW;aRBrev z;7pN#|A@jW>oX&r55X1<7OaI|k`1rvzv#F8hR>1MpYx44R*9?Q0x(YD-7g7e9tzYC z)gQFhwl+WQozMPhfq5au;2FyH25l6c>NlL{gZ_0J`z@Y7y`7FoRA>^jYj!1LhrJ5i zW+*4IZb@&z>kn+IFD)bX2Vh3LCC4}qn2-uU#f%>RHiaMgU76=@^5l{oIE1TTJ{jhe z{6Jaebm0VR>FxCQIjASmEt6*u&l-e83K4xs#{%&zI34uEbRaQsd&peQdLLH)?A{S+ zN1F|=j;k~JAwvfuN$%Ep)q61v&E9z8oxpsk+78IX*si^6!n~a$)KB!{ z4nj-l3@S^(Sg`L5-1T^y{zv9QDb-t^E~$KRye?Nk_PNf9Zq0?emRkSOHq2BV174ga zh8|F>@XN!r>HnQ8gzMF?H2RmdWp& zS3Sv!ijB;m;N841{YqNZQ`fl1O@L>1#%6n*RxhfTaTi4t==o>bvmdZI|5AVIDfI|bAxtC)IS#82z>YjX0A}L z>zA4ZOJvGbwOXaVwblyt)?RMj*6Q)eIRe~z=xNepO%*hT0_PvR%1@04r(qapsje|^)RM}7%E{tBh!z}u^aA^prcmr+QdwD z^I!x`ww2|Z!VwDtT`dma<@uo>zby{3++F0@uwf>VLcQ{3Yz_1j;h6Z^IAZn1=g0G} zg7lU!T=yd`bCxFyaDS40XJm&~RSRp=_T?bZt^m|b#%-7tH|dUePx)=cV}*;IGyq{J zL19SB_C0U=`qml*`0!QxgGFag9?^&&-&d&aAbR2-v4wMXZ7CB3RznX!gXNM9gP zC)mlMXfP;tLFJQf{gBCMS^9I$pA3-#to3=zX}jJ`8q}vIXR0nzZ>uSAxQ$H(?lP%s zi@(q?WDfA&;@xSLzV!F!OW6wyBIdPnfw+Dsl7Q3=M*B*vOL&@##9~`NfrCTh?R$+d zF~WI@?z^JbnKa&lh%H}uk?mg>?J8Hi^|pyT;Kw03Dz z-PbU3YDWpgh$h_6S^IVWvtLmW`StxUX=ZYIUbjhT9>;ovT|yJD6PC&HnG zs%!6UceD*5Vd{P>7sI0mTSsBLUru%$zFZ(k;iUFwd zmGdL9{;W3d+oGyE#o~SA<^WMbc;>&4V;Hq|OMDLOTZ{THvB&r?q7_ji7*Cr7ebm0G` z;skCS?xB^hFFLr8pxj*K{U5X!Mgx&aO?GpugDUK1S%=uHtvKLN_(ucBdnw+*KN&ui zl4W(M=REy+forgeNa?nM3j+J%vbd>JhkFdug%fO#ByOYp#|(&Cx0JK_67ghlYfYqz zmFl0My?OeZL7V-no!QrYD}7@F)vT`_%`q~P+kPcvE9P&BwuL*p_GfgCVmyy*`u6!K z9YIK_gvcZXhdRcjcG%E_h)PxO_wC~qU&G6{@K3vVjqMOG`>upKC+=+|cM|glJO%209Y4M-9L(#qJ@hp9LrEy&H2*B^>o5|lF7*_z|UOwwtbyPq*dM5qfT>dak;|A>B$L{}Fj zbDRte3{s!={{LP&lWzynO(@Z|XJmyF9307o)6f0)I^tM=p7dY`RhtjI41S)-?tRDK ze}clQV0+AU%aR_FS28s8Lj{WD6TqQ_%nqYY($7a$`NxRlfq$YOYzv=3NX@A|Tl_V6 z6Q=70>;|l&xik##sqtMOW9GlAd}2=U$4Pc2cv|bi`C3G_gk^J@7o1T4bC|kXr$G4- zd!gMG*iX)tY(-Iw5EbWoicuoxcwjXL+hMEQAxn7JZq}K=r;Hy)MV8n3r}Bg3L&{f2 z+Vt4mh1Y8BThGJwR7}a9%fjtF)k2>xFc?>V`j=t%4Gk(H0)9T*hYr*arguv=ndYg> zMHGx4V*ft8X<+M45mABVoU%;T`Jv{cdwSyQt$;1|gZXT?P{ZK;DUS{JK6Q7CaMJK2 z;mYURREmQGGioR?B)0M4tc1GI$(OYszYyX1@mLtwzN6P=k3$MVX1p!ay9?Y31bwZ;O&5@2t~ne0 zVf?M#9*f>8f0G{W9nv`^kw3`7A96r&>Usq`%Y{Xl9ikyP8}S)(U;G&p+zBO~Ufz{h zh~-C?fO&r$bNmB2SUudi+Q$s91Da#z!4bo90>@Ox2M zu1xd2_G@WtqxuRqHZ%Zr@}OHBW-*Y{&ZdTdLA(|LgOUrJh=-e*eF%B>O}1dY4`Tt^ zax&NYZ=w%)DH)^T)CCzW{p>@$WT+(YJ*|ux)EoLWBGavBq=Q5;bmT7-2rEnb-q>Fh$iHbS9wO3me^~DbuUN%5U>Usj%k{D7-DEpuZ!~){a=y2DS7Q z430$h#WKCHW(aC{KkSJ)3-B{jk2UrfY*39o*s9}2&2o#oqr8wdG~hHaz^2!=UG4ec zcdt^xfqT)aGH^U5n^CLk^Y)%e<#eReme|SCM~CMd7h@u#y5n8xS$eT0s^BzV)W0Cl zl_Mt7V4X2l#AnMHr+`BRvOB6UbYww1KhPAPW^@p)nJ-09t;gK%Bp9O0Ed_u)exH zMI}bc7xIR7baYsLHGsxSf)I|~g%3DIZ`w~`6V}o<(w#pqK=dXE5`eb2;_Rf+bfKw| zUz~Zn`0l9z$2RV(PFEIse)g`tavd8MxljJA;;5!wtK?xU4MMfh8?7x~2{pTVNPY9X zyqn|&LOHm`{rfoFk1a)mKes(2>nkm#D*sX-h$TowqUz zl`R>i6YH_z69TkJyT<8(DFwFmS;;!h$B)FmczYGR5`?pe`gT-kwZ3?Q_E|ma%LP2D z>4swL2CvN36^}Fc(w^eGoC#1hsYqv2yePK3)xc!i!Ehd)6Ea{tnGE`%+J{UAU-#br zG|pJvo|v8x1ZR@$x^+jTVqQOs$K%$#Bgof{MYHaXcf)ShBR$iR`u!8 zVw5*DN0W3fmZHI=!iQc>RIjKcol&-!rCRf+v~v~Mwr|fPa0?9Z5D7;K{B6$rLUt=2 zq4LlO@34+8mApG2zhEG=F0UP{PO)?KU}z70IJ=C6LPq%D-p|=R$85!SwfF%S7njty zMYr?KF-`)Mn_Wq1=6T-KrV-Y`4bX&ZMG;zJSXo{8#VivKTE^tzhN zhRD8Qve>XHy$PL=Yq&kp&K@@8$!#H<wLcKTAw~`+lvPB4#QMxnm9H<)?Iv6G@LW}`z4B9;$m&z!DBt_Yg9|^NJ9*L} z&O8|}?s3N1nJW3X_RXOUEBP=>$1965(E;#=a92aF4nd+uKfnfyq>mlL1$`A{H{Rg7 zz9ox?`c_f&m0;viwcql=r;dgHYr=cQu7fJKhX;!J5;g*88EFGS^G;K*^YyhOhEjqd zQZUZHZ$rG?<%Rk=KDH6Nc!fJHD>C11_uKW*LDR!O>RPbrk%C8p`x>&iryg7wc*1uz zvYKB`;pWI;kElUfXbX+)>%b#-$M5?W1$jj}^BDq}UcVhF6yAP!u`XQb*DTLIdZ8~{ zk?7MDjn6So)RCfW_eb?C(rk&tG9y1V4#cIHx_K2`7kK`0;78C{ES4nV#3j{l^^t$8 zLy#lGb&3xX#B7tz=9z5rYI7{ax-!4a^s?gM#b+%ASbxaX$*g0zn(Nt#6JqzzCt18?&IZOPa95=|>XveL5|bO{Fo0QE=f-e00o%#5ZFKe`21YiHC$KsZ*8|}?Kl>QdVpfUm;}K?0Jx+r;QI)ZZ zf^t-ffKDIGs)utXPG6b-|5beyNP_`)0=(94*(1EurW2d5X9AZ#czYfCNgs?e8zSoC z7mM<|*O2;{U^{VI5MmvP7(xOH=sbDFY}Tav*ab+pQf>k6P(ptrj!+oEEJLVpg&d z9Ymf{f8QsXr}!8|0S1_o0>b^h6$XP%%o?ALM_*T6jIn+A_&=g{ZGTl5LB?ZR$-HMz zPdb3ZEc_3L4}wUqk`Yqy_PTG&prrhnka?=@@hDLZ52yNYag(~+qpLVQ%A=l8R~ykz zX1(sN@N!(4KDUYCx`SS4ywGcNB(7%O9#4n#D5Llle5LAI3?7hB*6!ekfDi=)<+5N=6o z7_l)70jgmB%{h~kl_l)JsQ{`Dk#1Y&@D5>d3A`-`gOon_^KT-+VpSRZ2VB;lGjH_( zQgp^j_B&Zw!&$W#B;l+iL>^lFzS#{TCtn-Ge7qD3u7OcBnxnqmeZkAn75C@;>Kp;> z_^fckbR{~;PvL3*vhlw`KP>9fi|MlLPf+FTVo>3WOa7qJyvOlnjMQJv zTN(Q7PF9tNJp$}^=WFQ1q$V_u+x;!rr<3$BPFp8>>CUeSrWb|wC0pt1Tq<+ZEi$q0 z_J-x<65B(KF>2`QvEuNPQL)n!L9ljLNn z-7b161;ZXE7%sZ3S8_dT#pQ1XpxBz|_;G;KnV!8T5HJ^Yt&(j8P*R{m&pa1ab# zR^80$LN>73LobBYHE$ZL;%e|j!8I~M>NajHd zoPU~J5P`)2fx!5b#n?xu70|{QU4DnXn`hS(6xVX-boO_R@&nQa|I&;jlFv-2Sb6;hgTS_|sEyzZdV;NYpZXNRIItoV`ez zQP2hupof^D&!_shw`<&kY-NT3*eW(3Z{o39f8}w$C?5>6WDj?D4HxpQ4q8c-tJBRw z;$+E6wv@V>0gtEtqgp4TvtA|hOGbg+>RgoR;!-PxdX-L!dhC|XH+WJj1aP$!qCE>$8 zzI6#n7%W(gG3xf>gD&_l=!{1eMbhMhAt&suhk)}rw&QkkVE-b}2!K&l}*eX0T(viEzyoxj{@eH}|hpX5@q zRCsBB(U6;@MW&cii{G3j1+Us2{aCJUP)@SyZqF1rD_aD5T@$o*1(4qJ&76^_-MWD# z(OkNI9qqAjYMjf$Tn%r)P2Pf>t-C!_+m_9yG%t@+Yu$A?F+G_HV|+%KIr7^OZc)V( zOyn}}jTWzxyX(G{z;O+obDHa*xMTINqS{*>FEa+bp4$2 z6;Wv}BE9_QS%WSXFlmk+Nt@QZVz4>YBgxeILP38}al-DDEY1iUwYy_GO2cUiv0nQJ zJA=i_>V3n-M53}VU8^aI)ehBYin7&-)t(`TfY;b@+gLF*eUmiKYQ5(DCdsi}=Er{| zi4`;qHRG*!;14OFsBAusOsg0>2~Xf`is403SSB80p(_q92e><%n70|Hl|U^)is%u- zpKa~!r$Mq*5H+Dr+&U%- zJTHkqPr!2IXtzv~g28UsjoC;0FtP>pVt!F@3Yt5a#luMsD@65QRcJD&B;N76gmr8N ze1kQQT&P#j%ER1sc*9^8!z4@Kold1s(3j!Dp-?P7IdtZ}qE*^+RbkLX0Fe-Z2s_wRlbzvYL1#@r-2OyX!d4X`mXCN86CN-jpE3lqhSENRbHcq-X+pZSx&MCO_S@!M>&BIlv-5t=A=RI%<8o(`(| zfaF)G8X)CQgnMIDg=vma8V56Mpvt>X?*y!x39GA+QW8b|s?@FdgwG|Qq1w*-vqn%N zwo)x<@hy{uB}@W4`_4-7C+Z+^xN04`=DIL}z&eAcg-#+T?>JihSjSaT9D0O(u8?=Q zz(MoUW8PG41fJyF{xDtjVSQN_r0R{sg3V>%h#Jxc6Vm$yD}%c;ru2R-JKB7J|8!)v z1l_UJe1IzKzgz*#=B4fz8kwMdf0i09Jzs)#$CV$Oad1RswGYN-;*|_1IW@Ug#25`?a^fKFTZfBXFLEz8z2Q? zuD;0WFYCrfO` z*f}^tI@#k&Xv;bh17F#^NS1Xi_;`NCpF*GadGQSxE5`Ov8+uyep{pU{2jBK(H&vm`c_U0itDf;2JV82}>NjR36sy({$_p(uQ z^zV;%Xfs|1^*8)4Ljp;cnD;YINg7FmhGioncU_# z4%97SHgRjte8|nzI=VTA8YMidj{h2 zV)8yvge{74DWtc>S&MCzkYVBd^E*+0t_1NFbhT+28LHQJVn$}3XFRwk+H4o~I}DtN zgvLEl?WxNZV^g7INyfvdLSpgThiw8?mYY1`;YbkkJ#4;_eywiJfhrE!^Du=0m-4p> z8$sT6^g3s$h_aPh-Bvy!x%ofHPuDiboE@*;2J25J10^{ zu;xMG;#GNr?aqj^AuxhP$%Ng6xIGi4uW`Leg-~fjLu+tA;YWwOXQVNQhh0Ty$w5me zC%zw^mA*?UK5#>1Pcc0GDvF@@zo9VLj8R2ppsN8)#UAnDoHUqg+p7&JPaq)@deD0~ zgoN4xu_>CR6Kw01MJ{5f75-V@*XzkMP{^KS40x7hzV%cZhm8_Tn^g9m;B%$Ddu+QF z7b1a?f^@QR`9FsaDOJ)L;#lQUbcKTfmdz94MnQoOD!j>fdaF#*fsI8NA9XAQUA9$q zdsTTyq00>z)H6~B*%<;Ag$*cAuw_b`#gI=!T5IM6JJqVtg4NqjC|`};bihkQ_WOxj zE_%(+(k-bB5h@%ax0moprdlPeje9JcqRTs`zqMQPz;W?}ntG*(F`gJFb9*z#_>Dm} z6u(P8)m$PEW3GK0DLN>i>1Lqi*jhelvRIhmJzx>@TA)b#oE#=I<{ZcM^~wVZWCTCW z)Jr$J>1x_#NSwd829v5@^QcCFk>p0kEwWR?vL+8&<7F6GI|2R)I--O}2wR^T_V5UU~3|+L-qP)2j6Ha&s{U zpp2#l8+X|@b51Il5H|_N^U3Msa6FN95vH0`7r{4>B!BmE(#$ESh$0EF4v*r=QT?^v z`N?yXH^|2#!UKprN9l&_Ql&qVj52&pZ#~;aXNeaEgO$i_v->*3;(li=cYYT|tJ!GG zgEI|4Wk%zqur@0!JUo2cc*N=Jcj9{MPiolTSpo}F0cRkdXRp+m$2&DMjyyqL zZ4x^?%)~DJUHpM$Hx)cPeXnv0-TigDWWW?9-MTDT4A~3;^|k;x>2B4KC;&FRXPi*o z)b`S%-;7<0O=*Mlst|g383{-Gt}oK;TN1Q!DvVV&Ps5p)SB*WSE-qt-%iD8$wFe`A z^8Agt?J>}*O6LqnRysbk!9Nl!gVr6!zSo*p8)x+=0^cuNd6rtNuN$AdPxbGN#(^kB z=7w6;<|S-Dt%efIa^;!$xRN+c^`tdf0{Mqz?@k}e746zCl)w_L9ah|K6W)>^#iS?B zRCN3y4%zf2hL;`R?5cB&+@#hS8=lm>JV>Q*=NaSXQz0<6I68jZ^x znk^dz-nTF(x;@0YS?AGwA9owrLqS96JLezP|4Mob^bj1>=bL)AH}s~>K*Sv!(>vdT zq536Rrn3LRF~p8NI#4(Zu@Nbh+~IuZq#UaqC%21>H=77{y)Ac0F|O!!aK`(U)sZCc zDT#3Lr8Xh#NkhCHu)3^yi8F1&pu!r*D%vC9?KD2@YY_A_#qTinj|S zXvbPUQN<2_S#?k;wqw6Qf^Sq>jP@{ZRA6_!tx&9);*|6ox816I%l(_cVZ$B68;cVJ z97vj#{#I%ogSwwgSFh><15bHPrqjpad#cS5QMQFKHBxelZMS}NjvITJ**AX8Qk;1e z>2-PVw>Yg`-=5cOr(9ma3Yfkh(+UcQZrr*frJ<4D$ru;a>Y!WxWy;}Nxc?Fvnyx;p z0F zWL(|>)yaRpEdKbU`1Qeg`tZcPAio|mUsSpAKWTr%U;c}&mlZxFze?OabVKq&q4&41 zHjkfLnmuto-Jx@Ce{T)P$tKzqW1!QmlCxdD7=c4J+&ffE7#IL)RC8>6o2mDWrWl)~ zF|i{6ONPNnz(_!4S??szm5DF%ul@{@@#A+Gx`S)?OrYjuMHFPQO*BAO?q6IaRsftu zBnD8=f!4kXuy4Put8`IIV$NAr$u}g>!h8)RG=0CSr}Z@!u<-{aphrLWiFzbz6MrDB z(RbNOHmWZSXuQmkpZQi>b|2Y8cO&cFCFF7m8BdIEHXpS#4@y}B|HvjxM8MbworZPi z@TL)2G?D-yXmMCGgf_<%e>%P^_!j><|M{JHdP;2L3C)^N>Ku1IO&E|Yg_|EOr}^qB zv6#Y>Cds_(LP5TnNR*-|B&=Q~6D_2ikuh~Pm?{xsNQ*r!u;92>@~ zM-O}4tp^?cQPI(|Rwc*73$RZD45y0u0M=0tuf8%Y?>aKExA6Qo^9LtN;1Wvw2nnlm zXt7=(7gB0_)2W@$W}>y+o)LJ}#o4b9C^o>T^pYVRxF zcUUk#gAC+q?B2{c^9v?4vVH^V73ad$Ta?CxowaB!o-&^fhZ_>Zzo+lb_l4WRu=`}J zpwX}~e6J{$zww&8t3$XVPHq6DK11-T|2kxyU={!$_Ms<+Pe-L+aE9SSY)QZ<)>sH4 zv)%H<6%rQyjEuQf^ZT8jzjOFdzXZPMJ@@?01?YOtV5?d07}{AmbuIT#>hy*BfqxUG zH3N^*%lK9GSy=*cUHko1V&Pb2oZyPLcky|p*>!T{SojZ=|J zg(()B>9HDz-^K^jOD`)p#mgPY$<7_5Vt9@_+i5M@g#-Li;hZN8F9KA7(JqlKe(_xe z{}bS%>uhqrUMf%Im}aYIgcf{PUW_s`qj{!DQ4{BNdK|PThvg`&pT5^KjK@w=LyX*R z-GA*CI&<;%l$Phcy`>Y~qsoo;Cy(3SGBsBbSN!!m@K7C%U`14@GU>rseur0}pX9~V80S<5aY?O}q3o<|A zdA&^CQxTo*Mz2FvORZI+Se5vgt&cJU+MW(l;X~)gryOD`L(ARhUBQcXzj44xs&Hb{ z{6pd3cjmV;g3bvKY@W8N3<>uSKf!*!b)-;4ul}r5NY{$NH%@Hb8fC#X7E0fFYgtnO zZ{8jr#;MtM6j=R(2d}bPW_fqHsMYnYO4&&_RS_4B<#ymYQ7{daH7h)h^Axoj#b%t$ zUH5|e-k~XnAV1Mk-HLVUablEu6XOCq^;(gV)SNx)>^k>TW9#E|1ks!r($5u0Xn~hG za$l@EiXxP7`;6<$!e-=wUi3;pKtKo`uy~9Fv37vgmUiMx)2a4sBRG00(3ay?K8&Wf zNEc2ESfj+Zy-wVnX}sjH$h!FLXr|!kG<+Pz7|3P9andXQLKz5$Af;K(47Xr{1Yogc zfu-6uHb?tpc~e8q{5~=fg7=!gA?a{Ej9{ap=9=%Yq@d2K*Q8d z_lq3aC6%LuKJij$C@JzgoQsgi@P??QNd=iv#iD-3V8fbZBB-P_ zI-UjZR4hVGZG=OV!Os#n9QFD38s~)P8G=!2qg&Fa)PI%L@lH_r^hY+YJZgAOW6+

$IDFhkNu7D-sG2*44C@Q<^Du3n7j9jMt%F^5d zR!k*Tr8dPKKXP)QRrlc=k&qm!SL@l7qd9S0Yixx9m}2`Df<1#PU~wX(5aKBy8&hW? zm6Kg|WNwQw=VFor(z>a6-iwQ1ek=X#h1ZIwO;e&KpN07!EYE&23|W%(@6 zGVALXutw&-N*b=rhUiQ4mxr^RyjO-r(8+^|tArR23vR{t=&#%lovc9XAr11Yc-1>s z-iQTB0!>BEtj6;sqJ2IuEID2srz3^mlq_q|^jYrQdl}r$#Fd39woy?Iwq1HWMSt

>^&g_s z?@7BJ+Otc)Lg^8YFk?E8FVC~bkDfK@I_;ZYu)Oj*@Q3W~$Nm$vTb&LkpYC>T7@C%~ zZNBx|_12K*YeI0n^k30Y7d*0}Ml-Ro_sr;&g8%j7LYU6wxZ61RX;vku>5wMhz z0n-%KJsPbV$G`YkUL7`#i2IG>Oz@k=amLxBdpy^R$DR1Cqi3hd7I;R0O{}mz^6sfm zn!ZtmQE}@vPr3YlryhNg#{BDrLgXon1=n>VQ#T62X#3|36nR@j8#X=Jxx??5pk4Ha znD`^If|8~u_3GA9vos{~Pa68{sx!-;8<6GSc$j)}b_sWmg;paqNLABs*ZW&qON$d1 z($DBd+y4&zv`%C?>yM=5qh>ScNm~zCM6A01fDpuE3R#cnqKVOQe=|A z_6@(dpV-x>oBJp2uHP>wA}6L(D$rSR5~B2rHL`$q0#S-I^OREvmQpCsKcyCN?Vnsc ztwi`ls63G~c(vdS%ka0?H#f~%SD~-M6odr_48~#-qtjjsLrmMvwFk>dOa@wi8iM_p zProR%e+$zdvD;9ziY|ge@k(m-s#TA0p(=unaj)Al{4)L8!ZM zcW`TKt9eeV=G3Q(#LB&$rq{4C;BPhXOQG-~F%6gREGJzil=Rt!E3ue~0%;MLbgpz{ zLt%%{)%Dj7p4z-g0$yUA3OKV2J^7o~^U10*YDXWWUYY3%2rsYpqnL zG~j2+yB81;V9+rK+0@!;S7PaEFW73bM=J;#q~40mrHQZDGtQD*Z7LhHAVRe~aiYh? z3D9cJ&PkL2Xa+C^{OUpn!|Mz!0N?1IP9kI4iA6z8Kd4o+=TW7SWro1=i1;6a_70N$ z8Z5yE=O)Mc5H?lWH&$$aaVJ9IX6H>E{CpW_=aFjn?C74Z4c&Z=B-mvY7pgeQBc+EL zD(=4^C=a4wA*aQGkF!6d+upaSfA$bT)q6&t^5KW`&hnpqE{@Lu4;xh6BH>)zJ63iC z|I3MY{7keS+qJLjC?a~n>n~7lYAU9!`6L)rAupu4OE0(;0-3jBRf*V$|N}7?w zqD!W{*|zw7)VlYLUsHI0eU;Z-&7CiYFyNsUAIyq^X>hr zF@crTde*LU&u#`aMn*;(F=^fy;17StUK~d^EwH#toz?hSr|{irn`QWOYV$z(Y^@5L z`|nT{!5tZ#4&h7-u&lJ@XU-nh`kv8lC|)}*5qN0Z70tQ&bVk#_#Zx`MK15pTJW8RO zcq(j8+_>yICUbmjL4?IZ6ySf0a4JExhBKYSOH?;SdJV6}3xi<1n^t!jHiRIozzJ}M zwl@NidpvmXHXy)!3IMb%{^`|S2h1@7->8ftWal@Lj4w_Re!;^UtmzFiJ<@*X`QR5UKM z73%CuTg8R0t-M##RE5frR5Kl<_WrfytKX-yLw3y8qu^?#PDH)}CK?4>7+9xTnpi z{6(?;(I}8TrzGH}iLl#~E$CDjrnz+W6>W>F4V%QZFL7)7o3@YoSjMf&_!_ugH2NIX z8RMMz0nQnhMQb zrRy0+M%h_?8vHpje)))zfT)5NP3PpHLr&{sEh{|gMFR0sV;y6WG51(r$#2cQM&g&a z-#ok!*>fjbw^)D9NTlknW8|ntw4q+J<`iq_M$nbV-f( z{(3(XONL?kkU$A!p76Kp_2ql9nLEqAGh&l>u&nDB3WaPlA#|4D3PzuA@RI^~P`)dz zwx@!=6!#CvHjLL+ZOe9+>58WY1JWR?k{lYjp|{#RdUex1KHdYqV$d;xat7iVf1E3E z=;m!d5>0(;yc>JhVYti=zSX1{oh|n`8*Q7wz0%Km6-A2lpBX27E7=jQR`=+Aw-60DL7jlRY?a&pfl z#H(n|Prf^>Dd6Za6%aFyZx(!aKt&e%fP{Pa&UPQeT9^HE`r!}FU)Ao49Ad0ZT9Rd| zo)_>|bnVLf&3&U#7yfzaLk|nz_5HIZ`4Y0Ghlk|zIHpVi;8VtJ3z7MV2*zlpZY`?B zVTT;sg35swaY+3ex~5Qz5*9oRco2q-7c#$wKy*eVt)Bh?7lmF|>r6}yVolO7G@aH@ zY**H^K%fA6R(;P9aDWJy8jWv{sV5H$>fJW4Py4s61wsuKGTF6?dAFFqwH|PQ`;RVd zT-xQ7_Vf&_dWNawS$qFv*SGokIU}sOAy`OyPLAled72r!;p8tb99B0F@C>MEwZ#4# z&)R_(b_;u)Jx<}LL=|zfVUyf8JUZF$iy+^D_jEk&TOt`EGNhDJ z$WSCwQM`tPBy$Mgb$9;jTkBnCowH8o#NN+y-@o5AhWvioG3WlGay9bHj8q>hBVPtd z5;{&8LK+AZab{u6i&3K!H)*hfTQsB z!~;#=D~I&b89C0nk?U%tk5gj9L`v@-(xEn8Y)c6Gc&N#~)^eprnJc>k!g56KGs6bW z4wXuL7nC_35&L83(j4zKBx_7`C-U3wotJ4e@G65J1XnE)>L6~6+|d{=-g*f|OXkf~ zITsy6Ud~O)PafrSio`ZfXmN;(S%?Om*wy6_1l^()8PlOYr!0iV!Eh~dC*#rD>d_G( zrs@?$+DS;r2@ZJ>0+`>LRg^xJhp1awS^Y~@@M+Dly!%=5(P@&ZgZ&F)E`oAW(4;O$)g+?X(wHzLcxEI{wrpAGW_6i@@wqnqrtm22nhUs z#GK;-o@6ro{9^m) z8|NaNX9#M#Z`xbf&1(D_@b&voU1_E@*oQzL*GmVTdQvE-SC>Mu|5R-q`kit-Edu5_ z$Ij1cr3Tc-#&`E5)nOP#k_FBZfiqMgNG%L>t|x~vdahIA|5z2@?xy-2#*%^hgRCk^ zs)Ez!>&1Jhe`^L}D6emea>^y5v^wcZDL z?$b{8^V;J5S#3RY%D>d$SEP8~g!Jxx#fOCst179{didEtmR`n}6&H%Q`+vGlb93i- zg`~Imguv6>*ySNaY}q)L;$#jv=c=Qkay3?O+B#;=@i#+tb5FjyYp1TpNK==za2=cV z+Wl~f1Pw!-18L#i$7t4HA-w z4+F__OHmh!8S(jr>Cx{H_@vCcJ3E`EB_%5@dg2|Rv^N0k@$62^x|S*Y-XQ!pmP{CP zXDM%a`cobWqd5yJrgOLAwyb=AcYnawVB59k5PLzRiaTxJ!X7)j7b0Ne?h4Os#!vTQ ztEm{~LNLe3=tDqO%I-7J8D1(=4#wQ}s=%@C)KF1t7h3jq-|;;m&tKH>+^TRQ#=IAf z{0U={Vi2u5$tUF3v-<5QmKrlB)z#KsHR3>emSA|l?Ol(kVjY9SII18x&T&qiehBYR z;4g1x-Rv};`{ri>XkACjq2{t{tIKZEPvPB7i^v}`JwllkGgF|q$KDyBj8Xi$fKf$P!&itw0{_s&E0I`=NGJp0 z$47#`B?MnRtMa*=CY>%q;s4k$X)^bHY`S@cV2!%Frfp^PZ0DcteYolF%kFSbm=g~b zk8_x*m!g{Y%f*h~sOjE!j9zN)71FL2E)%tZx{ta_&or_xUS-l>=BQD~V2vzKT7BG( zQ|=8*~4fx|ihMw08HK zCDg(JxmCz~Qo!Yk1ptQ(hveaHA^7SeEII~zQ$%90WO6}s+Q6AuuVR@O0*yr-jg409F7KYm9R1zw;o zjP>tKvy(SdzkPV_H-`b2eC0=Dx3i?omVGPnuw`Cx&XQsaWjSZB_Z$|T?{7_$NEjrr8k!zJ#O@IbGEA^m|z(DHIn9!8I^ zsUH3NX9P+DBXe_jODmCw8Wl2I5^``DR%BxSxVdkGB+O5bHRhfnTArAZZr*zNoWT1f zUwt>=@ms<&@Ujn`>%YOEY)m-f``NQd?w_TRlz9LSzu5rp+P~1v{acxGHeU@$*jelU z3bM18W1Jo`VLkrhMdBp_Bp7enez)O7s{EB&86JyUS3U?JdF~%g&=x`wV#d9F+GR4xw9+U6eZpf8`;y!mOGKlQkB{*e66BgOma zI+VOmXRH>MQZ=+iSGU;m?4T7vf&z~;ue|JDQyrr$-6Ec;^h06P3IlADtc^o+l78BU zH$A$aCJ<4rx-L?xtLgZoJHUMaapB>?%>H>#x}JgUe?~m^g_@&$jOM#5w&MZiQuuC5 z=)0(L!eKRwlSo_|!$wL}?wTp5NCP*=hb0&GzJ1;D;>CU-;Arbm z=*#?jRWH?gR~bGp5d3A|1;iSj!3|`ObuviQ`RtLn#UfrslE^KB#!QmsWUj5N(eB$- zsOv$YN`|F6bLfF&k4s750we^cl#kG=K(BoPjg}|Rx5DO`9PmroU{CL`b=ybA+;ses zbHtfLd|i0pAJI;$9)(HJId$b}Bj2r%&>(%}zqh+OXhZ!@3;td7a_AIs62&_nw8T?5 z!=w*d#c}&*2W%k$E7x{?Gp^gPt`Z@(s)M!!7F}aUy`qgw=76n{ST;Ic>+<@dq*)&vv&#Zc@;v8Zc?seBWf? z8PQt)K`8tKOZ0o)eez`Hdf|WZhuvSIA1^!_=8*waHTGYe3D#cW_e2MXB?(T>wUFI? z@njs*DA}EZ{1`Rn*1Abm@PaE?KX1U>p{K78{%uB!q`S#vJotJp^bsdVs3R&nwN~&d zQ?k##{I2c<);lMlj9)?o6<#}82Pj#(h7h+*j3=hWTHBak>ZaK82;UOy=QS$)N?pzu zNBfynzh~6{nLv})mwJjx&;FVEK4u+8U3Rt8e1LX zoQ`ACHHwyTai2)~L%RLD;6ceW!B%V_CK|t$7_OL42QEb(9Wf2p?eTwbXsI5ZQLV5Rsr!QwXegL$lSmifRmezun$^d|Z}q9gGRZs?tvnHmfA%_9-TaI{&v^#lWf za(_1Qv8>Gxn%08z-vY$;&uFHxyeV~6Gu10r?Fb(4iEcN_?S6kyogC-d-^Yu&OLOOy z`de;#@vDk#N$8t!#to!8X}M4mtR5IrLl=KGd3z`vWGsaI0oLDMlwN)wSi)+DtTht; zgPCEb@GJQO0si0r4heCBw$}K5zc&GqT!) zufKY8tp8el4K2lQ^3pu*$5~Pb{2tj z3ggt$HLBb9`>b>G2=uC&Tx1*;`TYE*gub^cIEDF_zVn%omhH6o#jsJW%#U}tLaAms z*}P{ae1nLjoYxVj1V#|$Gx$reoU5+sv~V+x^#(=54`d2;yYSewLoJEo%R>}KPUD+k zeeHEMGW;oqW=slO=GyM(6MY2~VJc5;N>Juxx2I^nc(tMWz0xX$j;ZjztehJ)!`DK+ z*H5oiFI_4y*FmDu;r_yOmLdJ#4S*BSg4Um}jz1!fDs~p_TdIiC$J&`y&;$)cPJ!yo z-J1gsgy$@a)dz3CDGm^5d;ZHF3BS@)+Y*8@ONJ5;Nc{X#q<>fGO^f;5An78*V#xAD z#(R6GdTT+@^q%!npVkXDC?D%=XW^}r<@m53VO2{}${gE|lM}PV*H;_4@&1_|4Fx@R z3=aemRNwF}g}v?Vg)-!5LP38ZQGPMYZ^TP=65Q!m@huk;D@?pU$&HG^<9CJs+pmri z?gZPXz7HgfevVWNR}(^Gjq?Row!TIG<0ES5r<8JZ*{9XUGWp{5Bl#r1*T*&Wac$=g z4_nDnL=4dQfFp$HOKEMo>D)s$V5(7Kf}|<4jcKM5JmH%Q&O5}_KN4Lns@~1*@#3fN zQ=J)E<~eT_-IG*>#J>hHN@8gWM!{RMcMrG;j&kVd{b@SvJ3b)u`S^5+4d;ugllcxl zTN1M?pV!(aMTXI{mUS7+s-G^b zahk%xZs^S1xN->ypeI5JvD{L)Q!ZhNO9inYb11j|={v-qo4xP~`3+=p!@3h}8H;BE zvgZTy;P^n>Uve2U4^j@S@vjJXkd-B^^7r?vfky-i#pIy+%LDqjn=U_a$)UdC41rgn zm2-)93xF8I6I#drP$Uw-oVDMy3#Pti`yXZVLciBA|FDzN2iGr!oInzszD*F;V%W}? zW%Jgptrit4`2IYsxDn3BXACFq&5)%O3*8%U27>Efi0;)a_+KU1=Ax_E^~KkDSo3{) zv%xJZ?c6WUTd0!7!26me!640k|7(k``pCEJ;`J|>O_4GnHE1avXUf|PO@8gqt|#^5 z#Gfv`DKSKAQJ7mSJJ+fDMf>+%9`ur>Y!`jiR2q_X{r<8pHBQ5_p6&1Zw)Bb>JNWD? zb)yP^^YF>hE!3?`quGsM{Gi`I#&js!XW0@Hl%Th>IC{-yD^1Wdv^Xkym@mJ&BeG|r zEk53a$76H{PqN^KVr}U%?8!J6K^$Fn$Lw(#8$WvCp zv4xodpZ~#9%4KfhDi|c2M@Iv@&U}9|m|OQmCmQVuc(jo^r-tl0B5K5#PewTB!-d?( z<@v2WD|u1={FeHJV-ahdavV3f*9vg-0XeIDR468D%Wc$poI^rd2i=&ZOPy6izb5e< zT=0W54cK2+ane=~Nha@mhk=z6&mr6x!9eT~6pV$aqSvd}E#bM5mpa_Ns`zt!Hi=ttlUiTJBC;(NDEZAi2nt2JL}--isVJ~ z63jdc!m70X-+8hZ?20ec$v4ef3@;@zl%V=HUgKr>`^djQWpvgyt9x4VM`^LX>V$#{ zr-i5rU#(P)B%K>_P%OI-H0c-DX&NrWe~FIr(dTv6azTo`t&-bcaV~ZXrR+}Ai(DgQ z#WAsF1$AludEp0sTsyaJ-h8fg(9ErO#roM{uhO;ok}XGO$~IHC=!sJE>NmaDekxuf z*&17`fF~$_iPv9;I1TEbMqj;sQPr2b#XQ#agc%st>MBxQGHHSRan^J#Mo^scA$iTK zubFR;A8fN<_`JUOavys(M}Yx_Ny(H7e__qoClq3JY}Sj-!OpG%+3#>gnf9G4i-K_d zK&&O5FW#XE(paG1+tJklB@Dsp5GFv(|HzWSv&VszN+$R5zSW~Sc5jC07RhL}CD{j9 zO(5kW37Y^}j^w?3iUtqToQWUAsCq0`E+{nlRBK)U@^n%4$I600dr|n!PFP9=d^ur6 zIruy%`G@aVkQzp~12?waF=7-X7bCbW&dShS|CV}4aCDDZ?oe%O;JKXvlddb?ZxR0e zThQw9sXJIIeyjnPkoWNgm{sxve<`Hi4uCdq;3@a%H90V$)a$GDWQo3!ZXne)M2`ti zA2-^yzKG)`2v7_w2M06OlLm! z_)ylxJX=|=D@0Rx#-i>Er8Y@n0bk{7ey%%gqf-2}n8=eUqB3!MQu2|z8YMpDJ73@$ zyLUTs*9Qtau8>P7?b>whOgzPhTwT|+?4FtTwk=qo4L`KK^@BRdqzT4;>h7SkKv+Y} zx`@8psi;T4pvE-1JKr^_93{X0YWc*Z_A@QptOw)LvK(Up&upM!@o|N3s+@Kk6xWu- z13KQWx;!Hat#N%EC0lF6{9KhJem<>lqNlBCjY~XA@BDDWttQ6j*TLfqPg|@=h_t&M zBB-vc99L}Qca_pF;a$vit1V`YJg4PPjeS-xx0L_&LUsl&q=_R$Rsbg7cWMwUb!q1U;-2izL7zBi5*XbL|7}+)(m&V5qV^!kD zF^CW++Uw_SLppdEO*3iHyhX&}DSIqO-A!z~?wXM5OqfI@Wyvm{0?gHu9xhp&q+N`{lzffo5)(F=vAhi*)^Tfpv!ojK-nZ-qtz0p zk}wu`H6cQp#{xMtQX}KiyE1h@thrM78s#)aAy&34ZY5bf^_3$5%2*uwD4brga?s^f zp?C@?;ZCD_>VG=f;L4WH&Ythb*Hi^HPqXid`WvATxU5~f_WrPPkE{nIr_cN!%nk+cHRlf?XPVNefOjl=67kJp$5k+^fCD8@ z)?@Sua0DleGmv2ScslC$znp`cmq2^U320x_G;E1*MV2~%|kd9pwz*?pCYgv*`Y|y)y*mQvJoBld;X%L<28svquOAINIXFVBZN?D zSRRAZM)=R>VOX@sm8zV8*oE4ew)M@;%_IW&hr+?%81HFQ>*q*C&*+!v?Ck6@x(`rJ zqOkq`Y-`|u%i%)uC~w;|LPX`v+4jD7SuW=xmV~(W3RIED;D;Gt9q&K)+0}e8D;J+q zo82l44vw`-o(b&n^T(MB+tMSn>F5vCF<5s}`z}ue@523`sYAx!wOPNWt=&M}yQ@uS-j1MW1wfpA8y|(yujWvt?0awSn}=_@>pHvqfqYYaG+g>j|ecsO?Zn z9@ZbFeo+)3shs%i9$n3rPzR}CR%Y_a&UQ^W%ti0968r&r3}lUHemjs^RaKQUMFN3v zmmLF?4R2RNsSOrF{9*qiCMK*<0ANco()2AwQogWS*`Z@ZlHPit@a)^SCoJn6!ri) zrM+pZnqPy+4iG<0sCd| z(&ihe7<)+LOw#(THdoPMBskXBuq)S=gX{0YKl*MNSMI%I+E!NgBj{P{l=~BmiYFA+ z@bOoC$aEEP5^vF`2qAX@tjGD6oA3{=xvF21aeFCsO0ix~zak0d=3j9h1$rP`RO~+2 zU7WIXX^Kf2uYpnE!>u{)`zw|z=`0;E+tYr}W~frp^T_e2A9ANCcDh{%q-`;m?jXZ; zxYnxZY6WFW%F~~|0p^B$;mVV8hrTgr?$ike?OsiOeB1TzhI}f8N4e#Ysfk2&*le7y zx_c6{Z`sSf=^XX>neO^Aed(_8H77r>4BGT`-U3;pC*SGQ<2c?OK>?cK>g7OBN%<8d z5mAE5ix`Za8zL}sR$j+{5H*x%Fk5AFPdpfu6HA-%}k<)KPFWnUGW=R%1 zTugjwfsbcwnR@9Y`sIJsCN~b;E4$Oe!PWDxONbbw!GYM7e+)pOfr*usf5q$qLU<;VmVYD4@_jJO-Q{}`0lES ztRuqrsZ94U&caFCaM~NEP4>UjhD%ohMFG4jx!igQJxkbfClt4RdCyn;&Xw|gX^nFL zZ3Fe#Rf;}DWx&c9LM%50w>a4&owRmd!c5C_h34pftM2=&=<(a5E>aXIpDAX?ey$NQ z)AN6Nt6sP3696=%qAT5gC+l^!jZrI1&HAm%v!f|^Gp`Um@Mzn?%(XzjFfY+8_L#Yv z-hMq_Tde=a?O?B#sllcD-j?(j|3$HV36zz7hCk56l6jdHKC(+Lm-e)#Tc$zk^RDCz z^uiAentyt{jkv^vVp{)u(d@0WuAS{K@fvOiLyL!GCGKCGCYLa=AhiyI!}U}rUE^0=H>7tuH#gUI9W#06kd@V! zJi87&B{&nbkM%yCoN!zKYA+DEd4aj;YnpWH2jM!^S^ryW~?J}Vc z=0qRP_u9@c#-Lgpzg#=iLv&U&335i%-DKcefXO&uXnsPJp_EoFM z@W@hjE4>6zB9N4n^SD~Ff^srVzS_BnC@!(zt4baJ#uF||rBStG3(tBA(^R)-M>2OL z=$l(#mzL!*r*Tj#G_$HGcrQ`QW%~V;YS81y^EFStEvgZw#>Z+MwRlKd>lp}41XbU) z_vo+njf|$LKXj9lX<9YKR8!7#_ZEo`ouRpGw~w?3blYR<(PO1^JZ)r$lX~w+Of~hm zRlbKQ?`AXm(lW(Tqa|f?{!d;M~wc>YBIrn5Ua$ ztHKHV4`J^6(~1_RvO8Upi?A8;Luzr?gx>(+#dz9qsDQ>K3bzmaq$=dZi4)B7YX8HY zAqe@gz)%irez}pNF6rF;{DB1Fk1O8=&P2!$Xt6KFHNNm9aSmreum*6gB3d9{)8~UA z$yXB49x$})BSe3o@R1izHt&iy_0NC4v_8LQvTI^7Q8p&)R>p(L%j z;=0Xl(~^JRdnjcc#$IzX4a1(y-N(MubD~Z>`n=Y!l1tiZkgs5i%$pkLi}fyD#rS4S z{Y^yJH8gi`TdK;a+1#bK(4a@(?9UV4L#OSgHbt_pk_$sTx70=5KQY&-5{w8gI&(0a zTQ9&8zcsYsNX{>_@i5<{oRA@X<#l*qD#eZ7WWL|)O53qLeq0U@)#T2g^6Ku1q;$uF zllnaFqbj1SDO9a;)dSgxR)vW@?~=swO?hOeH}h4ikdz9L!5 zrWU)IWnnYk2Em5%39P?pNBMWr`qmw|_sebs7{|mnOl9b}z=Q-zmp^6kXpk>bu~^R) ztQkNl9+vBRMss8`(ucOWe%cmS8ke_qnr1Ot^fwTM;p2&qhe^?wg~eG@=DmdYc;~7N zP-z~R7|oL`jJtu;?MEZxN@2CD$k7*ByUgiJ&gJ?4*cxxM@pEy^rf=hi4-&&8H1$b7 zLyXr?1YeOhoyU(Yyx(oyid&b6?NNz$Vq?Y*M?ZO7{*e4G0k8=97!NW=8M~IS{6po8 zN9Vi1*lcI%L`B?7=#$T(?T8c=h9HIMo!+9svm@`LgV*AbldSYoZUkZ<3RB*#{JAqe zKL5eLuVz2H%PvLofBUZ$F9|!dw9FjMK3SPM5D~{}pMOJQm}>Y*e0!y!gp-_@iDO9{ zjAn5WHOKNdJFemk1%4k{c^+k(rJ)i|94BQy*OW;+l`=}T!f30hPj65>bX{ZKY})&3 z>f|tEQk8nEKTgvXotID`YoKQjNg{Xv;v*uuwF```8g)1KepxarQ@!8Z%Yn&yKS%EQ zRb)HM=EWKZoYUrgFMzzB!UZfVF47oe z6QCjlL;Twl0E#T1g}S?>R37V}TJx825y}m){)jVB%NC|x>NleY=539COfn$B(A-e= zmcYPhnCN&fC4~j}MV-H`t@uM!d*Mwd9thk9ZSMOf$3XJ|;(rWV9Rkc|1^M1e=NAlY zoywHV$525Pubo0pHu$!aQHSwz96GcfVBG|xfSavv9ZAsM;8A8W_6=SwqnU*&0@mTI z-;^9Y<3t=df8Kfodz+Soq<%sYFUx(G=@C1Wq+;#8v}{mzFFHlwl*BWRii(^aUj^AX zyegon=Gy#FFyLRbjJfpYEHA#B?`qUIWqG(LLX`f>c3J6@4u-3T^5TN`!{^wh(9=I;4Nf-O^Rar#Zk> z+lcM=W6#b>v@eB$+lO;q2!IBf`LvnmV~9tb7~zP81J}zlA(`Db4@eM-Rwz1SVdICr z=J~xodH+NBRsM6^ueqXXOTGi|SrD1O1QMAP(8;-m&51vCmmsIPRuW8PH`blkG zuG;)p(ra5FuSfqBjNawClb~n-QPeW(zHrJ-8`dh<9g_y;ir4vVDRPOeuTz3}EZY;f zv?W8eFZCcBA)S!k7|?tD#2WO4Y^m2*(;te4rgQ&Fh&M`J0t6j# zoSKcb-myc!`l}cN8W0vmiBskOIVbQj>jVS@Bio75?(Wg{gIm$8ml^1&t=T%d-3rBq^@&cs?zGKv>VJnmKQN zQhNvsTf^xc0FQVH9jYM$)$P9`K`~qsR~8w@IP{9nrG@wKw$S7QkElCI#=hWGqp~MX zP{IYR*1}&<#j&5~V%T{~l}-8Y#>s$3 zRu2TcBD!TBr1&q2bn7a`i{A3wGToSdV_mmGmvdz>S8Yb+KI`j#( zte77q4%|3pI@5f}_0vOEoX327d~^KsFolAck&EAQBsF;aKI+go~QQ+05j*m z_j3t-7a(^4-=NT{p&42`E&A%|L@kaivS$+N;HTr9&SJX_h)EQ#g;K+8k=G7}YlZ$jasdE?15ekwM+l zggOuYF{E9(bazzTw{>qE@5gugH+j_vt|4#MgW&qlMo+)yu088Ns+YXJsd%$lfQpU0 z*0)}-%v%b6V>+pk4y#^``2BSfyB=?rd4=(sF<)h2beyU$a$)uu$B{^vFbJ@_lspq$DY_TfTol^~& z|10$B8`vKAr$dUElZ(E|;el$(+gdP(EVIYoZ@Q2Sh+EA;e0(>~0>Sw=`ZTDFaj|q} zW+anbo%{o=C1T-E^umu11%wX3SGIHbE9`fVq4*v7zYgt;)Nl^$ z!b^@4Msl-0D014_BF*!(VI zotnl5p?9((JZ>~e&!mDGp%yh7jhd8L|5PvIgFurscy9T~0bzU{SsQDw$|Swz01O6F z62ge3{5;xRW50g>q&aNh)pM0>d~k00b^|I3eUea>}j!<#c| zhG?k4ng1GD$IV`BD;7qC7ecYZF7*49;>-tS@-|3t`>N{7bFjk*{X1Sm<0cSb1*MY- zjmD0T6?u60#l6CGePilH`1dK$3)w~`Ttj zLQh-Lh8N`edHpP(af(RW7P)w9Lvz#X%>FoPdvqbES5Ttg;*)V6uy1=wG1875$a>pT zDp7roJz8)_=MAsOL2v#brE)H}zU}dPd$RiPKkVk)Ex6L);eLivC z>=lBhvQ{~iw5?vszLTBF%9gatqYA}B+fM&5CV~5;c!_ke*t7=Vn1ezbRSoTDyRS*6 z)%!t}y0c|CZKlaV{tjxFz&AGq+QLvM!D8Ig0-ryqpoEsF`2$Tvw1B9_>8lny{asGv z*7$qG*CxMk;hI&!C8{=DQa{rC8`#jOALCGY*NY9iP3uda{_I}#MoShv^8QZ6~z ztmTw-vS-9AUrJ#!)|27SHQ0A?FxDbm=dRv_=CN>J(s~Os)En6>dk1q<$iidH3i(a7 zwH%}B|J25nQanCUpPVZHd-O#hGzs=qj*i;<-Eo<8Yw#T4k)*ljub{u6vkTXxTCy)>`mDBr_5|B36?&*AP^+)}qG$UW(`NDbxl{>*J34v9B2teQ-v zg5vF&11K-(A|GgV_ zfTzU<&Clpasb{LI5Br0|tpx2$REXaO|7W6RIc+Pad$uC&#H7X4G^T=7)^380F(bJr^>QT5ZBtQJ&i-QeE;eFa%q06IG zRvM*q7n&A<^H=q@pj$YvH4+D$S$d50Mk+hC?RLFdS6JlGqNvO(pO!o`h|Us7^hYtD8yQQ)u zy(wmhZhv1r;l_yLBdEY>?2H=r@(z!7JApUhWC6i8fdvGy3HuQzQ)>L0_mK6STqDZs za3m)a8w;v-22@MuF@mCbP8!@65qY5yCCC{jlSib_Ub_}8U?z9Zb@^-)hGK-U#6+y$ zaMnOR>8VW9B=79hFa$gmm~}e(d<+$F1O5h8;Zn6nm?Xc!Ch+}l4v-MYmYT~XIde(h z!kZWo$#0!%=Vl$nyP*0bidcym4pxs8Nu0EahIe4)X_;jn&nC=C!vPU;!*p;} z&Fu`dX#mvOi1(#@VQzTN`2(t6FOYC@P(O!;p@buiiUSjeJ)SL&uKtiW^qp95vwlrI zhlLWBkDj^tsm0LVK=K`AHF@W<&_3z73S9AL+Glq(?g$1*(gk5IDFylc`xSThney3< z2o=-&JD#Dg{jW-)JJCIrl})umw`-#Y2^J;IG(=4&!H|+^`wuFqu;X5C@`(k>Q6(iM z-H_2K5t^~k01e?EOt+~0xJSRuHFW$JFO`peloAMp21aP!=_<#}hp7g}d8wkI zuZj^ehvNeGA8)N;QsRex+T^zRm^Tcql^*l(>(+9LIZg#pVc!17uqwd4U5^%iKZ!C0v(123F90T6!mXq=EJRll-Ww&tRv#N#(UWN3C13bYhmoY4% ze?;^lJ{(-?$lhs?UQ7+KvlcU2NvbL1#Kr$tKNSveJIAVM8Lks;q_lqDzp!y5()7Wp z5kD*>24aFMUDOf=b1ffn;M9S&4r{6(^4*i1lMg890kbWuldErUhfKc(84)1>4g9PVte5Ot3kbWsY@y4NTOh z_Ztlq&EFd(4gUDNdUH-SOyc20ngHmp@H5}A)@L=Jsgh`L|t`1JXfW2A9 z?q4LeSzMdL<|p+PqROwV#pyJPr0%(Vfooh_GrTSh2&x`^QND5IWr^QM=-L#|v`T%* zFuSp!pZuv}oy_#)(J8uN9j&#Rb4OIHnygLMi<5rWc^7ma>T2_-_wnT)DY!Q3k$Ef? zPhZ&2%Z1gw%T~v=F|s5kL+#VK_a!(>IkBe6N9J)pi#YJ>a$BtQ?qG>Fs4_X~yajc) z43s~j+&d|EecG*Q=4RcfSVwohNa!JJ>zt)~zASBPYg2FLx2RGWef=j-IXb2)8z zta5`h35FT(o0`0`ZqD2Z^9)kC1ddO50oL*C2<~>jzT4oFX|wZbnA2O zau{xuFiO4(lxyM%HmgI+%P>%b6>?!AT33sQc6+1iJ`GKl$$!IP-ib_J;(|E!UVA+& z3n}mGCb4?31=!=D{E=2NP19gr;Ek;8#N9hK-Rb+3Hxwce0Fu|gNbqqv%coKHiq<4r z>#fVQO8s)NcsJ5U5>4KU?+AA|zRt{sB64zhU0n8SYD(dp<%5s1W(+)sVKrqG>N-zX zhf3`%=8gX<-3t6grVI|JR(FTC4Sfu|F*xKidX~E3_O~Vps@j(+iinPjNVWL-v}=Zw zx2q3?%)end{meh2oO-OEQ^x(EhvoG;U7y49i8Q8(Hh$2Z0}6DPrc^ygVee0AdeLqU zv*Tfm`e*cE&o+R=QV(@s+(Rc;aWQ(sdo^7|cIL)PUIHQ{C8}#>2`~c}bJ|i_u>MZX zMo@b|nq)~a0UJQR6IiZr5RHGjgzFlHy3Nb&FwHFr)mS%z5_pAKk^YLV<)x_2nAth9 z2S#0-_9TE6k`z397>%HH5p(&>xkkdF_qYM>Zg5R?S;x;R?z3sdqxCPU>y2o>Auox| zM?7E3;cKnJjyjHx;)qNLD=sb$W?bzPy*k*vUDm2_DYxo)jOar$|6#(nTx}6tE)1Bo zB06|n>|YWRDIEG&x(JEi;ZaONd(RCU2BD{fKhmrIe`z)v3smKZ@81&CwjgOD#ey}KetJ3Gz zH;+bUKG_l;5QPk8k^;(JX*xrn@MrKCyhY#bVi@O|4y2C8k}f;2k6};@VfCWj4^V6A z#LImBEiVf`L}1(sb%_V=-6}33TJrSt#gKJ9>znXbFiP!xPSz;clb{jr1Q!lIGU5e& zD6+a6T0mR#07RACEuAzwbjZH_v1ib`;oTeGD7@nteFWz-X0}_aLU~tS_8k9V@^%sq z&Igv?;R^*i0NZl8#HKxKmr0Elf(#MUx%$Hd@Ip~&_hrwZW_WPB^=)T(o`bROmQA%sPTZk(9z+&qr1un1cm(s3xqs zfD=tjOzv0`U1M5WTD3+wks5Z){W@dhGd9a^Idp~H46|5mZ7t3$LYo1`h?mYJcYVk+EllB+m#!;-i&&1eqV~*5qy7UU!&U+EcgFh9%nZrxH%>1 zlwI#0`dax{%anAU80U*|%1S3Vtm8A&pyWMPabw6U9f@L<8Kyo>vx$2hTyTVbx^_Pg zbyVASC}xu-C3`=l5Aw10o6L*^mlqou{e0ug2&7X4+Vn*AqRe2oyUJUA4R?1>K( zBU-AV{`NUDG+8P z$^vXRW{z=rfsFM*;(6zOg-?wXGxd}aPy$Jg^CYaQJG+a}aGj&FGi8quI^kIHlkmwq zT&cPV)iqTnNEiwYoxLYhJd|4VqKOq4%1m|UI)<=G;~>xD5(sK4(t*0+tGo) z7x@{kBy0S z*)P1Rj8@N%K3M%p;#D~xS45DcpD41M)h zWA`ObecGC+N$wP%F>oAjeJD}AHqCZ*MG zz{Y)CGxZpHQc)MxHZ$#CP1fq2`}v6SY-L z6eA$G*!}CxqC5=PYXPLQJdx8i%y?8HqSlL!_<@B~!Go&P4?-Fc%|GNz(h8NScfTQ+ zJ0F=A5KgqulThb2_ook9hw$XtVdf+0FsAW%A|R7e=u;Mb*#N60>3thkyEUlPnj4K; zqAh6sY*B54&+-cHZl%=A}d9f56josS{S>f1&HNRZb4{Q7h~h-XdgxaNx)H0g_zlaoSq z9bbkfKbRlApSP+1#il7>Vnl??%bS@IT3A1F{9E@30FV1BcW{E$xTU7Yge{?p@(4q% z(QDgprb+v8YE*OZ=>Gke3sPgY(bsKL_G2*hy*SUAa{q|iL)od@xa~q@w`LJ{joNps znxQf8%(AYqIDQN3%k~Y9j=$n5CgTy3bNO{G9+Rl+b(W0_wB^}LNv6c^KQ9xj>yX*Y z7qz9uLFKrhZ84SSfPA%{IXA^m+qmX+w`hrW7bIOc$BH03DTr8dDxk?%`oUF-qPN*u zhdqy<*K3O%J+7Dp(hcVWM)b^|7h-jLG!I{VSgyqX@9sRCN@U8U=Uz6jum*lR)w+E> zW7Gcvy zgWg+)eV^i|^|o=r^6QD__6moA+--r=y$Ri)PcVmk=amuE$fEcOLt@(bAdNZdZE@;v6~=l*a)D3 zU$O}N;K0BD#9`Z^SUdP6Z)Rquj5`htND>&3zHLxZo=34{+}!q{nbR@Vtc(R9OxL+@MI$H{owHbItKt;;#!B)I8IfZbJITaRqQFW zJ@j^#sLZ3|{Mv<|Vs9Zfg!Bu_uKTdcu2ff!N{gwF{cO>`wQZBz71v!g%Xoa6W+a%& zo*UXrDvyPJ=nums<>ZtpVBdMeS=aDCBNw+*ue1(bsYU8qfOBqu0ez>637 z(XTM#_o^noDyF7h(YjIihYEw35_R8!<8~%5t0w7ONZ5dU>*fJj*IG&iwSzTEvU=jokr+fIo+PtJU#XElKZ0K)@c{ zdhu5FDaSV1h#9TZy*K(r5%@e(z3$*T!ymQG?(N~$$kV$9*Ci1L062S14jOo4;myoy zaQd%KTfX-o-}l239UapjqpQ1#6rSB0J0gjjAzwKrLMVG%3lnNT?pR?NrpY~56l%xO z0pP-H>8`x!(ibj%&x7zc{s)mF0n;!W5={8JwJ)9qf@wXfnD%>C^e>S9F#y>yn`p0z z*5N7pw>K4(6LvMK-->Ll-r)Y26`uf}#5n&v0DQy;>aU90ggE}q`F1ZCp-PI4sElrf z9s>ADR7%Qhfe{_LN0%#mScq(f1hbQb830Ur51cn`z=ICa zgvzh7F++s*kq)wq(;-B&I06i$_xdk5Kn}8Acp;#HqaMQfJpUkMEV_Ox<0oZiQc^Dg z-W_T8AACSUo}jz@O+@u1Bod}bHWohhU=LB^HY*>2gI<(Yw9D~fEK#CW$9cCZ@z z>C$$N)NH#@mf7`wjj%u6u=sLFU!6+VC{4PiEFC8=HZev`TGm(3ax@FAR>3m@4{i~% zdSHK$5*Mh}qk9NyQrY!ngr^efW+Yq8C>3dy#va3r0lBPi;~)1GGkWd<)JqfczE3fs zgiB;y&oR&blFY?ilJag%F3PZWChn!(WBn2lMlZw-GN2Qq$37WeH&7!Jl`p6t6+S=v zaxBbk-2WMP=l#IKO>IfW8LSr&5h}r%igfy_Uo%H9cwSTSL}DRuVe&RZ0Jj(I#z28_ z8(kb~D`8_H6L$I&t0$+W2v@YCv||In65@gcLau@gpU3_8l0ZEivhnX1e>=4oZL)^@ zjQl6=X*693+5+2Xj0J5`jjSN?H6Xra!@I||X?TN2BmvdPewRrpfmpJrQs77X=QSc%Sw2+b?kl4rfwCG3 zHj`6nJ!&od2nVl%-~DHy<^!O4er-JGEZf_ z!WzwwS%-s#%z+g>HH;D4g$Y|2^Zp6VUai<=hqvT0*p={ukd zC->Q;RXuE1<+ERh-_a7HmeYSDcMTKK;SBRT3g%hA z)CR#WcJbk$n*(he55P6k%X&hYpF}cWHsHC{d9Pi`Ko%nubLJ{eyp+;c!aUo&R46YQ zH4bb2C{(GaU2XNQQj>T=Sfsgb_uQ^u(|tqVM?ms+VOW#mN%=%*{NbS`dFxyp`02tC zu!2M&z>e4^;Wh#O8keoJ=-^~rwVC<-p6!(U&EZ!^pE-2Ayui*==KqK+9JxjCeGj$Qm&Diw?RiqysTwvL|l)i+To1$OcU zKTY3?Go9bNOVqGhu8wABWoqfW2$obko)ob^R}9CmS--CIMTmB>FcKjAQ-@@n7pe-^xa?^ZF=%*-tf2^#2kMrBQJ}Oi0QqrSe zo;IemjAt$Tvbfaai;!`ac~Z{#7HjBxmN@<{O!Scl!_n2-2Cj9o z2!6VM(E*PRz{l&ok6&6LtY*!)Tj|nTaeP40m|ob-yQu5+*}TQqFKCHM+x2{o{54HLpZ4F5ToNlwqHPIc`|S*U(bzYjVa zb~{KD_X12rZrt@F(eY*Q2NJQmRJKxo#?5eNig~t}NCl@FCm*%(P2(9JnS!Q`ZS}nt zK~ZgYcVC&?^jVa;jJ}ReV=SZ0onUX34CMhX1kJ29pQDtN6k8OZWHJM8#!N?Km z7J!6s%nT*OZJlUYpUIw98QaGi$@0lnaiXMbQ7_ z#iOHMa1Eo|@J?>-O6307Cn%h9?}ile1xmE93+xa+8=Q1NLS^>nBTHt(O$GhlzVXHF z3H8jQ$+h=Q?vnHy_}}N!4n+8iz9KnYQ2+OFed_hGAL**JOsh|m0SVdeN|0@V3(OQmM5B%#qK_2ct1A}W>=Mk94 z>&K=MyAJ5~=LTZTf}+Iix30BrZ!{(DPfsE{2TM^h&F%epWP%a!3pdVBw;ccdK5?|Y z)Rw41yC07ZFAb{VNjSl`ql9rlLcvm(W}hF@o=Y?Kl-D%lcMG9Bpd^Z4_@unD$$!5K z;zwIno%Sz^rNoT0Cs`-Y9aY-dAeMPG^>%FCBR8(141ows{(=RSC7E1emK+)kmnd5IaI}J*H>Dj945Ag`!@0I7^hdU+Y=^uT z)C?iQkS!n-p;49rRT9dHr1xwzv#*XsKZ41@_q1prJPJ~d$N30BOw^|sQqj?hhZq?B z!Mp&0gusq7Hr?Z4%~;~1Ny!)~(&*F8T_QQ-_TJgQpdese&z_AVYDsBM2L75CNGe9i z-;G;?x<#cz^)GfG=~V5&&;NgLF>u>k1#^z_{G@GJ2U7ayQ_qH-)czk+Ujj|#`o2v{ zky1*7M6si2kRr;|AU27#x1oqKX3kKCOqGfhHWD%v!X`2&LzBo*L^4N)WNMHp!goEL z-}kL=t+UQLzyJTV5Bq)I`?>G?nwBnHF!4*{vHfvZB;xJ%4ovtcTbsw}p+D+NU zy)0peZut%|OoPL}n=0_kN1{S!sPL$?7C(idiyB6OLs8>{v1ow9T*_`vjRpISK zW%`~8{n$OD_o{#2Hi0WN;3lB)iH@0|fx!y^=0>1~XTdre#(gRL60PF5hdJ4lCMVBf z*dY$>$9cmk7QaJ;G0UQMACeQO)%Pmd6-+-PE+$4yU(&22V#@~oj}1M3T-aKQwGzZS zibH$Oa0lJEiO9$(=B?tRU#)fV1!BDMOZQ~!kd`|YI3BN7xUU$dzp~ZoLya-np4xfs zg7<6c&L4hb+-2JRd~WFZ&)0%;S|tJ)Q{cH#nchb{V9<0Yz+nR}9dEE-^9P|$Kc^;= z^P9P;(xchdEEX2$ebgfdX;3sm$LOs_O~*=_M5^omu|Oh^(qh4YA#`4W9$P`$Tft7u zwGN71n$o;N(ZNLlSQzpbEKwvZ>ox&%UJczA{muhUb%wI`I2*rs-|?jzS(3_xUT)eG zY5GJa;@$Y(Qw+uW?-jNoW$6lTj0&Kg!vIc@-jB@=(F~bA#y)BX<#7mf9-s09Ibc$a^0q2kl#^*< zE4_gzz4JQYZJ_M*IJ9on?mwTa$D=yuLzV9WG$#t(!}}|TS};&Io}2-z6)WkDgZpEa z{`o8jdN`okW@``Pt%8IU>(U>d^ek3S;Sg61;>JQRuLs+vasHG)@L7#47UE?Beg}*~ z-A5*8E`Wn^532%_Mu0x_Cz&n?&E;2k=H*42inF<=hy^*B4Rq4=F6@tr^&_|X#{D$U z2ts>S`>5r-WSxZZix-vuS@#8h+I3t<)d4Rx$>j#F0|oXvaJ-=SLSXk*G~R&ulZN5r z7hnTI2f%N!O98x`J-?nF-KhL#jT2+)+G(D>6cq|bg6O(tZvE>9FoxY`;#Y(}hJ6h@ zhlv$;{pN`MOMH&TB#35GwjH|Szv@_ta!_I*WtdV4vLkgj1!xz7_u5+pmdT4`K(y7Bh^5!$p59>#12dOse681LQM{==9CiQw;_tveaP z0ZEJT_`WRQ+LO%p#wyQ>CabNHSYWmLFlU|4YqmRm$NQov-)2IpnJ+z2>q$Bkc=Cv< zLr=BRj`oYCWz90GG4+7({N2GNk!{M0)`|Z?{6}yoC-e4GL&$MHvKEFNL#Btx!SE1T z?uCsy^TNKAija{_n<=%c^6B}fTeniX9bTmr$PLo<`4{t8)ub|5XK9vMwb^lUy1n_S z&LL;V4UE>XbQMxKRH^$xTY?P)nMmAPOZ(f!?$WzkO!`yuvY$Ud~8bVc`X!e@#g>8@-X)bo#^AFx61wGqw z4!q-Em6~2W-k_boKi0F*yf*gn9Emu)jm>Ozvhn~4ZagW0n6xjQn7d(9fIz!5-l$zH`Ii(Bf#LO*W%uM zaQK0&YN00KoWF+X!0{875-3T8s)H3FBA)_ODGyt>`b(o-*+ft!K!QSWT7UNJRKjX` z_pz-=3+pZ(f_oNrg%7i{N5cwo05y@c;q>$}%*7-d096pNy^F|Hwx{w@flU8tdw7Wu z4c7x{SfI~D{b)lQjkGo=g_>{6uvCz(kX>`@Z2$WhmS-~;d*7~n*FU{@tLL9NBajTE z&WX8yqgNch&Q%H{*>aX6=NP_6);@_ZpC8XXnosAIXvhXC9V zrYpSLA!%%E{PLe_@0+c~DEod?Zr;1dZ-S-)yANnK{Xy0V6p-gby}^nER$f)vLaA4U)-@VZ$`ZS&itFJ+i9wR=V-K#z zx&|7`Yj?Sno94gyb56YZXQ2%cguG?gU&0wbG3?AXcK+&`&Hf1mvW^?FYaO#iIE3y9 zw^17n;1n-n8l&jWbG`ZlC|0VrjK||DfHD*b(S4n*UQ$j3FHSm{AFiT&4qEx8K zF1qRP4SrE-RMoHkX4s<^`vm%wtm-Y4uny=azO`Y4666U(^|x=oW(AD zos<>na^VMYn{@a}1&4C>B^}Qg;=>AoIJkp#1Jj?QiyG9;tTew34r)&bvp{57FnwCV zAvkj;0GB#BW3a`<4jKVXWalp@&@_B9$Y6&2&$P7aqW2g=wcssH6#riwdJV2OJ;tH4 z@XQBHL>L~1ou-JE$Q1hY`z!=epivMLPS{>uMfhxSHG*E4n|HXgXyFlid@mIJajEB6 z4{;Fn)&&0tm^WM9V?L689^_GkhHQR1a~^8-K;j*I;DdQ=9xMPh%z+cuKl>Nh{*O?< z85%f&Q;XpYaPd(zM#c;Oj+KlmeYKI3q##hW$r+HO$^HaGxEZx;VJZT7S90J)F|7m~ zY=oc%llr7|>W?ZVxP4RP16`iV?IJvS6vM>XTl%Ld+KDbfZH<%BGnWbt0^W8nQ>0sh zftICrEJSMfD#c%Q69lEoV_I%~&ijFl;jhO1_ia?WspjWEnZPDc`DXCy4;GFg2Ho6^ z$~5$T(s{=~rHKo9`lX)|K)FCjv$7`{!RMmSzY|_BLY24cG|xGI=W)9N$5!ZV$^$)F z?yS`N;-F`iK}`}E@pI&oeIzGJ@kjC}-S2SfT_Jr-pmLB3K;`^#C*>Q?7HA-_X*Pdd zbrr2_%q91<1Xi{}?8hFyZ-C(fT7zENrxh40i3>f3->^&Mq99!$a9pP2H-O%aE(JJ~ z@O#m&hKLyO78WllO%tC`m>@AlSz*R}uv`r`#HW;CNWwvgpy;5`g8c-h7a^GLUcPY^4yHht}^1g+1Ng8(@gC3w8dEIZow7L8! zx?Y@IOxv&Ht*X>!$Rk-%K0}e%yg}m1LRQBxgB|<0cWnDBtTSkzTT;tm*hN5Y=rG3J zVzB!{-`({=Meq%j$qt;SEnd7x{TE8*u<5}9)3%NO$qva-h=T>?0a_n4ln|rt*tPQJnBN(lWux+)y&SE7}XVk5~Tc-q_h|w z+L7h$TklGU_^uAB;61yAx+x#=8x-GgEV2g{DVap}9yujeWZ4&H+nx2GFQn=zk%p*W zFZx{^eD_$(QT@nZwOu^PHRdK;s?crWIh$=vN3?y1oeE}NY-g}~gk1pHHDk3%)WA6U z7+piGv!e)yoEWjdE9fPFf!&sM@d6y_Kw8hl9ZGIE4{^Bw3s^VoEH5CASqw=%cH`r- zU&pyvkZDyfxDz-qqCX%7X*5GVgZsz_`DO-2~uOw5clCZ89 z&+C?@OP7XETcIlB0>T~bi|ftFDJLo&YYOGdsKiM=95-GE0G3daTIIha_2Gm4N6po! z_3AvTFS0nDK&-%by;7_uo>3M~$sCK^Lh++yeRbY1B_@$?Xn*o-n`(Jw`&#zDU$Z5( zS+{WPIWBp=8mUCKj)K|`wlto|Ey)T3l8RE*z}_O-as#GKt52WF+$UZX&=zJJ5l{%L z0|>|>s*_aZdCuBA&%HhPIDWbZX{?w(!aT$J{V=&SFUFSSqwBBs(0-yYDT|bgOZg_g zbLS^LV#b9vyAPfft~R75eu1fj4EmS_zCQbpOH!~SEG6u5A`!-wL-gh~F$dPdHQTxn z;R%>+#Yb;a_SJcQUb|+^0-sY6O*WtZ+M{d4_{j1s=K-wA2&x1P0G&SJic6o^jE+Zn zKZienJ~NiwcL1L%@&q3u4gu`?MRlI<6k{F!V4#EtAWKW{Dsc{|jWncaUONvScr@o) zX*=qk;T?BR-Xs5O3BVdyUNgT=@Ir+SOq9LOHfeZp@D<^M<(-mZ?rgaZtSoKFdh2RZ zBkEB4`aN-Vk>wF#VUcVG?cT{$f_RWjQp7Sk_P!0xH-vJ&uR0@c!_-pLKq6W~N()T0hQ#Q1^lkd#Ww z5$s7lJc_cXLjvQYmVTRCTxsR*ApcOjd%!8G*?y-u-I|hvaGUJ+A=|6+5E_^G zk*aODSSduCVx!vnlRrN1PQYV8W3F<`BdWutB6|uCn(Oz;-)nra)q$)^^b!C9O6a_{%wFTavvw3%O;b?$%_K?|3L8|@uT{is$+SIAlv zUn}W#z~53fzOX?%(&B}Z5l}e@tE~*cC(%QyCUHP?`L6!+@_SQB+&(_p*9#4HlB0;W zlDy|EUHIZf0n$bnSkbX~gkmp<5O_gacmefua9-e<+pq6GEA4XLxqBV{Dy=S&mQ^X4BKDz$(!%xW}4Qu#2%Iesn8D zw4(uu>WB?yI;co3Z##BK7-RuV^fosr_hmTzfeJ$mG27=L^D*(L`ISo1AC!lQ0jj6E z#~PQgZdJaUTRt%VKz)mTMi$yhbo7IHpQpEu_;Ec-b_|@UPm^}tZfcb3%;|SX?H&4j zVk*gTR+LH^QDxL6yz>8{E~zPCFV;JCW-p&IoYs3@aP5F-b~w!7ZjTUKhp$PYzS1Nm zq=)>uB}zQkvYAP>{jc$qNXLwYnes>Xk~0{x2``Q0qM`9cQ%OG>nVXBJBlOl(Qty8Z zf_Imee9K>?efAk=!P zW`qA+E8BSWjn`+1gzzc$?NZexaCopvR}HIPye78=*#p*5Bfq?F7qhdy<+Cm+`3W!P z1{)8=hY#k!JcWhGbjZ(aR<(M39wBqx;0Bphp!?>FaChwchlx;ThMO^-K?db^Q?fXp6!-ZPr3o!L~w|H1%J^XW7)?gZKYvkEx>Ahg$? z@`Qjfz|NN}B&`!_Da1r%(}^Sulr2o}bRpB9ZkRZlJ6+k{a|!e4IX(wc>StaZU`IR4 zs&y@ta`K+pkweO2%rRyft~6CXF-zd(z)1m|6K^d$#$DODo&;@GW_;qJ5H$*q^mJCP z-gcauC|jq~(>{*omM2y!TO04p4zUe(qvOTJQiO$Ov?nsq{nRcxFJ&G-qLz*h@jwA} zf&`L))zi6Z-1iUVmM2?-MKy^f~}HMDCSi!A-;r*RQkVh|$x1%EHfX z-0Sc#n0poQ_baeV+)`~>BEQN6pNpa%#GE(F5U!~=U`(;_)8Te}j;2pKO(gmrUsbMh=2Q7GX*YOP;4 zRp;}D=3}S4=Jy`WHKkyJa;J1Tf7TS_##4bjP$&{Ck3@sjFq2@5b?xT3JZvI(vO4oj z2_NukwmOY9e`dW9=!)gp>mQS8Gg{r&Ml*Z@9>ZBZR&Bq!&>fbci%c%Oj@K=N}7mX~4;d{e>;9zt5?LwgJ z!nKpi*6TR7mz3N|T*#7iIYgFP$n3kIf7}3gB>uuSd-_JY=zCmkoM-zr7&OVh_ZTZ>a`l~xMd&HnB1M#uu^k3CdcPOv#TvB|Ib>U;0wMT0?GNGo6 zjb^7uWj09sJbSgGhhX+_g=f7#<&yHebJ6T*^6&l4YbA0*IVXEq=|2k{kRH*6jqpIj zMR#UwTSKYGvpLohBV08Sb+;SlpMC%>V*NGO3 z4<9~UFlaMCvJU5lP7owPCkwyy@NT8)&*7X}W^Key!vHi<^fVn15RN;|f|vd>r&ggY zL4JfrIG>32L>}vG(MWz9F)r!5|K!QL!tG74ihFEi#GN|WXrH#L>nf-0C&vv~8N9|H zy@e^guiYD=Q0Z+(-zLc*#0$P5VTu7_&~!Z=H&rGYHa$opcB1V|TY5&Z*BmSzLfXB; zm)SVZCrUg^`C@j$@M=}7pi|Ch$LS95`Pr#Y1*PG?_b5D-%CKkW;=lR;RDiB{QPZ(& zA-Pka-iG@%VygpcCK1WfqhazxmIv4?V0y(AqCFt-{3eqhU8&OapZs? zU7aFfncCw>IhS&$n{u#qEt{`Tws*+e`0yZERhEwmDZPwDfl4@8?o4_lbmC|c_l^L{ zwG`=x3vR7By#Bssw;xD40Y`cjoxaKf4+4InA+WX}p}@zn-I1>Gv6KJjp7ZZ0D^qlf zPGpJN?qPJXJ+nWTQp^@_6HANO-KlmZ@jSZQ$fb@34nRm z6G%2<7dTOn%7^^UA?SfcxvJ5Ui2gY5GYJ_6&%NX!+XTweQ4u@F1!W4N@k~p+VV^i2 zm1!m!33&MeoMx<-U zzO`P$LHg>vw*~mS_|FJ{yjyXYTmG8h->$_hKDdm|HZtk6t!r4`d1~#1GU2?~#m}(+ zBgYP{tb<&Kj9KucM@&o%**kOZJuY>8>@!+MvYLflfVcSnbGjlI!>P|M4FkE^yC;&P z(pcHp{@G5wIQTVV1!Ktgu-RiCMj^Ik1a@(dn%P@>8H`XnnQEkRX$9aShlq~}Ew|0>zSU@Io( z7&I$%o|uV!s0x&pn&|E+iGF`+d3Y*dj>e7>;XSGf`F@|2*gx%A8yI;axB9{{R@2m+ z-V4F|HfaAT@63LcKYN?1%Mpm0|&08ei9G zYrHYY$6gLUaniShkzM#Yuv@~*iFG~UyP-q54kj*Eny@Gk5(pv?E{P zWuwUBRwB-O;3aQ2c&ha~rg~9noGOK+u2?ICHa;WdAvgh!qvPQNs{_URCBWSeU`f4= zCnqPZUiUwZHxL?!IanlU%_9buP)z!U8z2=SJZaFKig8b=6^IyxhXzeH4Qr;0YT^pkmx)GPk?Ma2W|~^v7}vNJdc}QvF%g9*(k^Gs=k8=234C)7W42WsTHBK2 z6drxwALLUm{B1{oXU{JdpKMD8%~6IQdn4842DQg`cM0EErAPf3@|IyG!?()16G+U&L(P%Vdh}p1J^~3Fq z-}%2Cu`iAfM7|`8PwaPq@5nTa%^aBIJBL202O%9*=ik(=5+8lW6g2?J?5P!oBA_y3L2?~yAeOh$H|hm{?vG4U1TBvK=hhJ+<~u?Pg9x031teFv z`)S!i%0!fmXWaUD8OumK+CTW z`+QIupbEw3z_d0V)NUXW07h`lfOdK!aam<7@}R=@F#fW{tL`|TW}>s|aK(B5gs6bF zyZWk>EaF>uLse||ru%p0)~|l=CArXmp+`CBu6_9JcG2^l3CkD(+r7$bTP{scp3ijJ zAHyef(>B~qmtQziS2<0nt=d13YdAUEze0CH-8>=0rq^BjK}8=WtGr20Aoo=3$i>@L z0SgnjN+Nh?RY!MQT&cKmZFRV%BwL_qa-)@Bb>EeSfsf5gV=xqzgWrPnIoU(vdPI@| z02{&?qT2@d#>-^@*jpa#3<<-dY^@c46&5dGO(*$F$(p)9)UTK#&kpmxPG>5Su|cp+ z5Vb#-!7bwB@n1+%4wO@B?#r&i9>dSiPnNnD7DS+vjy;`Oi)3-E{Xkf_y^OIicOh?* z(!Sj#FlE7}xh7VA12}`&0@?Opm$ra~I6PsQd=R*ndCm0I*iRqQXfxUAUeU0h^m}Ih ztmC^vo(j*b=XnpPSc$8Wlfkle>)sMLNMST2s4LPUw(`#(7Ehtv||7js5wueu3cBeQ$sq~@V3>(z3(>zA*)eKdSJU||sUS}*%^Q}CiHbA7N{ ztYp$8Ec?pyaoo6WNH@UpI6sd9RA zg$j>e?iNNFLt2rcjA@lFiLmK7ZxQPD{2fM1JTo{V{|3&y<8|0YmEob&>VFk??MJey z*7@q*rw%r*PzbHMe_RwjdwA9HSV8^*T$|*?Lr4V~G%=MYw!hG7E9dg{hWqXzanZz_ z@Z_UoC#ux0WqlLnqfd8P% z3>hNZ0{C`KbS4cP1Pm`vG&NrmhiGGH9bKWxAqOalImkh2fDZ=m!Nn{nB1)hQuyo;O zDF-hF8O`W=cVC`zU{S)gk5<>EeWX#iX?&Ma^zR)fVMD&_9CAZRnHg}2!G;Wt-EyS@ zHSq{3Od7s-unERG+N{JIo$dp?;hCk=Vjy0F?=ZI%%7)CU=flh3En;*5F+wp~e$PLH zWA@K25#=PAneQ$+QUhjt#boKEJc*lhg$(Xj5oFhiwlk(*07;GPzI7}J!M5|0^K+fs zY(j8^j{kRrm{yJ*ru|V*)Fpj=zXOgW%X7rR5^EUD0qGkhEu-(sGH;=i6{4v!RMiD5 zm-A>*+)U~FnbBjW?B2~Pc8VBE$HTeIBj|tiT8=a9V1UWLG}2#r!L2sRh1LE?@V&#` zn0|)0(bWCQbqWKrG8my?j6?@Iv}d1M>xNXd`u^i^IZ65Tz@5teD)hy}cajme!zz5% zpVQu)Br4aZ_x3{fRJOglGVkLn>BrvAIWcxN+NMjY@*uqwOZ>E9afZo%G}V983h!1sj@l5N%$^#&b?IW-Z6tn4~v-MtvaQQ0yBmg7%oMjB% z%kgltLe5QW-mb5v%lP(g6?LOSt4>H2*ldFpacvssKCJ%WSEs(iA`ON&O<)Yn5??vl z2J_6FXbeznuunRR=tnFs2=<7CZdT{h+#qP6@6EUG%xIYaUd8%vR|2)QdHQq!Cflzy z7P23xqD_#aktn%L6PIswn=xqhKNZ*IlaL4oe0l}uW4{sIwChazA8!TX<`k-{IRB^i z0uD~hDANmD2a=!yc@c)&LWR_w1z6k@O1#x9@aYQqor>7Z5q~N;Wt4+L&*E&c8X=~g zjoT-|k>-b)Xy;Vim7(eqeJs%tCo1l-pda)<>Ee`gV=E6b;DH!6Os2-Mdy^|%~u4spIspn zev&pB%yMpLIORd}afYF!wK`+n?M{N)CNAWueJU56~f)6RNx`E7VR=&S%z`N)oCCLNs8sSo#gARMEL$us#l&-kxo6 zB%CYuu4x3#?}9h2>&>~{;r(xVmMU%Z5HMlBv;2`*{~l0Kqb}ZQG-8nQVa{eAYELy! zP^+^mNWl6HIP|N}B_0>>MBvFGykg1LhsX0fu?4!njbGOBNP^`KF|qn)gZhD7p^Hmo zzocS_P^O@!p|!g>+{~)9;qN=De{MNz$2A=&gi!z8bDPH2;`=57d-&GmC^Q(|!d5N( z5MxMER1CZ7=n2#;5?2A;y%50{0Is;o2?X*z)Ac&$vf?GoPBN_da6X* zw0+=*Ttefh?*tmM$G>I+3QC%`N83n3$$Hw#zD;>(o0 zL0Rrp3bU;2gK&K`ix3V`&RY}lrBwFL{dQ_E^GS-ghIU9rz$&@VUA;n?PfHDSc;XC# zdU;EwgB*h z*6GvH;o}Uoq%itzSS4Eqs_4XeDxi45vrNt5 ztFONhXY$5UFmM5#(|MV=8PSkphyL2GAkAyg{}J)fGK_#7@O0RQH{%s>fkO)p%jB`h zVutPAHq`!xYuZ>Nfk#tRVJo$FFA2P4P6KW47em|rn`eYyF<*jqc2l$uEjny57 zUlRTga=wt=AIN+>({ZVj-pgATvzy35S1C=h-HiQ2^l`6Wb1UBeos;P~VqNj!mYp03 z^;4)k?YkBX5nh%9OiQf4hx>y!WTgLwd*l9(X{|LrzE11^A=*MljR()KY|s>$s#Sy^ z%A!z&$%3&7Q5K>4oWLOlSq(@KbSC7)SBX4~(K0`cw;cd(co00Dk%PpE7_Sq9!Fp#| z_E$c_?moLIPK z>LK3FVN%s;}TM_YwzgO*#0!-Rea zJKne{0Xmf;Jf#`edjj@X`P}C=_6FEYlR7MRRrTTp`BSrr(>F~6Xm_dI z0hwlviaN)`^v_5hsOtH(^NxB6C9GZ+^Icdt2YasUJ z*ICT;UC+NuJh$xId-vTSFBaV@yT|1#x*lGj#2y85mUvL5aQgyL2XRhKo)EN{E443> z#sa)%=I#|XXu%3KX#0CVDGEM^$@7J>!V-YVl!|^Sne34QrPr8n^ z&Q`exqDE7b7^xjkHIEtdDzQ98+8=0KiEqEU%H08fk2ih0Aj9Bdiy2&pS7tn)b5|A` zUo`4lMw~)`8b1WL4?WpoEOxL)qK%)pqiG~z*Z#Cvb{AeM5IQT*&$4AZW#XGA8Jhqw z`5+EMd#aapPWhATc;0gsNMW+f-|_YEnY~cj1+KuzIW4%~Z_zFhfk|aIuJ1Z4TCA zs0o;Bhr}DpJO%kdR#;R7B|l*7+;d9~%7wDPtvrgk*$#p>tHebaH$$$4(}J=}hydPJ zJFC}0CQLqPy+nJmLP7wiq}{E!z8qe)r5h_mAi)O+@P@C#SAQv1;$jvzju^`DA4S~5 zNLXSNO~64h_a@`%IfoKT8xAP=bC@r7BMpnR3MiWZRUvt!<(FZ>Vz$->mU;vS!RU@l z1(aKSHu*cO@=+ff?ycjKA@0df@N^9DdV+VRD0S4k0P0zh`4AJ(#O%hy<`4{+?B zq#38r_aUGAHT;_2T+!T7cvxBJ+jwOj1?~qkkQ5xWR|_$d4_q)JUzg3uGIy7si0mLa zt=Kw}ygDR+fN~lpW_jUZuxI!T^2_yGPAN@}Gf}5VNH2JJw_)G{CCVb=`N3k0;C9)j zAr8PHnLxBTCdzQbuwnH}JlLe9+i_}8DHGsl3C>^V+(ZGP6Zrn1#MZ94jEL?x2YwVM zWIw*M7@?eHBvcSqMKL;Cbg+ij$zN0FsrVdXH97G82CDfR`JR<1iKx*{5Z~1wcB^$%8{#B?hv{)D$s8CF-xL1HIs3< zcoE4(957wQpr^8z?+u#KU*Lho!|(zp31*e}`va{dU~!lo3K{EC1TSY9%+KHQioH#A z4^Z0JN!nJ9J*aAZx5d~P&H$zH zl`LVu8sHjwf6S6fX zw;aRvlGrJ#$yP63@FMFR_n#NmC^IJ-<46^9nH{n}v zX2dOhuVwJF4D4xo80tG^9}J#F&B0f?>-pd8N6W}g82@n8mebj&iO9%6H^=<7K5B$$ zWLci^uFTb%yp+CdjJtgNgHIVan?A%9qZv*}0an55;IWN;5qEr%13NAbR;7;LW7lAc z60WYRr`K#B?QB0Y3#r<_KjQiM6G5{;@G{pg*5t)CoNd#D#TMe{xXEhBd`G5W!T*vT zqRb!`xPA?+?5JTSw%ON8MGAZ}?1z2Ly6*ebcrqx5Gy0~YuPx%GQtVR<&e=7hWFy{A zkZ@l~2nSGH@MR^y2mlM5c!NN_s-2&Uuq&EmE^ocp+vEX^Z`hB8C`k&c>lFTWm1CYW zf_ujrMVu`WkKv%d(WdumuALKDTPbwv@6_w!t#eM{6e=crF{#wxhtJe_blcZDY**dr zBXr8re&L-(qoJmV(V!l!(()|yE>tXO6-Qxuwb(~{&y#0~NEKC4xuN|NV+{!4Tj_#L zp=#n{sixy9`73>x3aa&wLC1uofqa`pql0qfq5ys~=4~7yte9We6P zW+9#+&isZ&TM%&P4_8U@iV|J(4^UFK>t|E?y+${K*^6p8c&QD5bMOYj$ATF*p&I^M z-wdWE@BQ<@V`BIq_@UsF2nDf_o(nHIxxE&xHK-F_kCk8c>XRTB9|VH#{sfhbipNn@@We~FHo*z^s$ zV6llKar}4!rZgoorS)^Alz-4wVR)-|UoAU^5v`1uV=aIt%p)(Y@*o}91aI3bN!VHe zsle@x>IGP#>J;ud<_?c#vK#NW14r7X^ zE(krsPkn{of%t?FUhJE52SHNQb_JvhbRSD2y_L7^pU+B@gi9clC^+x3r-Ls>dYj|E zR~QcNeG58U>PI$rAyvj3hVf?NJ%A2*sMlIV@Ewyz2I3bEk}z_W?+A;nTmZ-Bvr8LPCQfWzJDh6xcA?5=dajA`vf4+&#C9 z{t6LpaXT!!EAl!-V_g>@Wu>gr5)&O8A114=`&Vd5V~J%#mVE$08fY)zcY`GglKNyw zNFzKvpxJ}6jSROy|G;Yjso!h^fNx_QH^Qce1Qg2->`t)5CC{6SozQae)xYIoFWIwH z49Y=)AYp`A@epqsT;zF?ZnT{d;)tr_k(Epf@JtF&u|MrB!_Rj`y>%%9d4w2G1!cc% z{&i$jQ%AUWlqIa{cG>!ZZF`>fJ{$EEIIZ6jToyjOr>(p=1@{~n5jVw|EtcGg&tQaR zX>+|jllZErFs%6(PxxNjm{Wxr2(=Ehq=z)!bURD*$NKstd=ki}O-uG7FglOoq(Zbp zV!_}n1Tnz&M}?~5Ef!acB_-;9VvhI%FZ^mw(eFc)^FWfH_A=B-EQ8nM#VpVlx_|OO zT>`E5V&>2wugm<2M--qT}^+xGwy(^0!$N4~? z44IeMc;M?V1p99@NscRr!KvW-X)}Sh&E-lc55L1ygB2 zJEJ!sSH*m8-q>m4on3*r**#iZh-paGMpzENQk#eo+jeRjeE&en#E}4dnIy2lyDqF@AtBXFNMS4w=wZteP>? zU|2&32l#mJHDQNi@>{8oeSLiIp8a|Dse;!!glv=GZ4<~}D>RmnFiEUNb$;~atoXWM z5*Yq1ba*nEw%6C|0V%?ypp0z;%fE#P)7a>R%kS}qFAm0EUirB-8I`z80h#uwd8MA* z@Dzc`PCI{}eOI^Pn?yzsJ0hRBeah->o;3gpv!>G(*Xt2x3*0yFh~G$iju|KFMmfvJSs}qFKA8g&b@^31`eUbcNLMS%8zpM@*b3w zY(#4T2zXnzsY@|LujsWv9t*#q>|uiO;K(X_TFQ2l)4nGAcC+j)i>U6?UbQ=)Dwe8x zEriDSbntkwYB!VwxPw7N&hunus-}E%Vl&-TSt6+0o<%psKzI7fF9;!86P#lDn-Ts*WrOVRRMDcsaCNTJGB9;L}RXT{l5}covK^4U9A-#6`Tz}g$ z7jcqtjo+N0d?F_=jlTjjZFm2E%m94g+xdL|(Tvf5_t{t16f~kxFvyBxpdlH$cd=Wh zcmJF$Y~A^Lfs^flHMhQi##mkCectmEO4=7faYaATnn}%osp)$={#_5SyZZ^J2t>5e2|`Y0|v}Aca`sX`K=iEe{IMhup|e zekxa193{b$+cYB#-p%D}+m4N|3s=D@*|Waep83l3Q+Q2keW)E1^n-RMPtEqu=|_g#J;CrH%!3Qrj(1AcV7hh<;vT$4q>F|a zEQvzw)xPdr%?ZsRDa8aBCR$arp$q;Bhuo|>&>)_%B+|_+WeeB+r4S6hLY4k6madQj zfcQra->s(GXvu^Du>tLB{Hs`J-wy&o)8ztJc}lO8#{9lI`AU7zju2AC`6rxmS+lGy zO3K;+zL5`cVT-oZE?!vJ8ncuHyk?zSMDlq6X1K)cHh$s58b71ZpH(67`lP13A6bnM zAg<8@^oCTbKgLT#`MuaTj)XEYV5e%BiG{zyFMrJ!u$)au=t+MnFap9hrrtcq4UnC8 z4g0`mNGADUwoqq-ZD|F^f<0N-!@G~b&610qo&lU`B^v%N2N_!5!Q+m&Qz1l!EgEJ9 z)US_{m^jd;96*`DzaAd-7NZj1Z6?QcE~{k2I#bEbumw%`WAHQRmSbw$=QLb+jeg${ z6T9)6747=4FC{RM8Q^B%Se&RFVzM(Qr}?PPL@3>6bcc9O*4V*;X|AoOChrZv7nf$N z&}1<`?kTcf`G5%Bkn7pvc*z1)F~&OB-9ax-4E>2fR$F^PTwZ)i5&D6ac*1QvA?pbe>VWP3@*b62w8(XR(+2W~e~Lzw0;6eG?jHWrk_V0>d6 zPSzx_s7T|yM!3GRjui6vocDhK5Rdb_gi9yzix-%ap#55{ZB&*V@<|N5d`h!h*+@S) zaivjc4I}>u!-2M=cXVbboUU#7qRH`qJ8bpiszg2W4xL|0dGLlm)nL=XRBo4ud_^SF z;6Z*|J$#@|X@PjS8kY8!G!Mqs-h7OKRXY+|nP8cL9)fODOfek`45FPzj|m(ckv0SY z{wIXVIG;)BPgL6x5sqMLCtft|@BhdMrtsZ1lmhCXL+sJ?3L>&*A>@ z6!Q{vM#MorWpd__*tlpB0WW-DAc*h=s{#WMl$MgjnNRK*RkS}<7)zvljKOyC1(aBu z)^YtaDTGhY&j^@LCfZ&C`X#z$j}?B*DR_0=ydmhd4l5e^XJ9|hIyzmuynZbuR^u!` z5y!g{48x-+l!%ISel;QqgN{^Ryi5{4CY+m24UK)`zM|P^riDT927J}3)}a}|b%u)s zn^|-^7;q5{fSgLGlg^>(0<{nz0=#%HZj<56Mesmf6o1RM#ayy(4GNnKO1OCZSNwgqZw zO2Iu}WnOKu@cM<1_ZX@382tT^b~oiz=$Bc1B3dZi>3l-Rn9ZiVhh)ohSD)IxMuvYm zZc=z_Y#S&Bh6;cK5R;3G6zG@#Nn64fbi;y#@NRo~E2+niCA9{Qbg!$5Gw5dmpAjN& z6d-^z_U%tk^qrgKP`9Jgz0~Qs7R&vR>Fp6)Ab{W_>Ff;yN027-rsv*MJ4NEDE} zAbxY4YWz3R%k4U1;a4!39trw8alqtl5&9bZG$2RPABX51ihg$;*Dp~iu2@2X zgo)$=N>#j>#IeyO(2RXu+x=UKjGoQ4ns8?@-n3!ya(*9xdGH{PP)=tnq$Z+8`g8!; zUyda6>16;5pX}KAhJN?sT`czU-UpLTFbiVCoffeGoB?AdLPSY6M0IQQ(xyIz$se8e z3%NGn0!k#bBzRtz2wg7y9rNS9mg{su>G)#-UOhqys8E>Ljn#{#BinQQKYIt>RbbVCkvzE?M7sN_}6tj5xUPhnEL;|4I@$>{GMi zRoSDpaxxc1C>iR<+8oYb<%rCUxwyo6bn*9N{tb19s40~nS#8SocKdeiFXb5KtCT)f z`N=HrS!QB^x9jI7i@xw3ZP_llb6)1}~<;QMqf+6=NXMS1w$++VB2$Y>+1Tt zx?tGt-SAUHS!8rcZd5x&EnS)m~zU)&v+adBC?x;Afd9F}rV zmTNU1mS#Pd2>`ONEU@6i%-hrppXp0%>)%TsEa)%D48N3j$eyS2KvHH=(P@lK;KDkE zYfStZ$!qoe+#3;7YAGJh(8${$>scRLdz^Rd_)u<-KubaO>B_zs^LydpNjSK$sD3t? zg?8eLL$j2{_ix{{pw`ElhX~4RYL1OSJ_n?~5kooVw?~$H2d52gr|13@VHQ_1LmG5T zDw3JB)9h~96&00(B-t0zR|9&#Uh?-2=LQW%BAVK`-Sj_~-#aM;?w$sm5tQ>eZrJU{ zjTwYIKyT-I%yT`dye?%`obzZaupxoY#pMtS?ZFpVqC z0qG%WtKCC&g+ui&PM^sRkh0Fb7I!J?{v~E?!Q$|O`S1e1DiN3BcReNj`9XO-Px|vp zQj0m1X4*dwW&emQSyOby#N7N*c1})*^T7l15_@9kyGTi4XMLoUC{%QVi z?R?;~7iE?pFzy)mxL~dHozITdJJ3P!JzvW1vr^TVmD+sGf8S1 zukneAXJSlr`FViwa&u{@hZ)+{I;;A=er2YnR*s(xIZl_tE*rhcB&`P-gSBHFX5{HOEGlD|?NIRx!p?iJjixw}7u{`0-7Z880r zaCBgsck4Fqd`D~3-_Ac|ZO*+rAYWIyGr#|yhSu$4&ssjyK3j?Z$UXd{b7HN0ba2ke zr40=YhQE8#)3?LdbW-ufz`y`d)bFx3i()kl%FpdatFevmwiw^-LBMbUM-%XZsNa*` z7L$>#Hld%>B<(1r^23_5tKI8&bm#pndpJl%?XkFXdi~z@CV|9*=#t0x_Chcl4)n-u z$Ses`mmYW6`}*~3yupp&9(a_Sl(@UQlegFt4lx$;f-Hd|J9cOgl2peCD&cL|982zTi_%pSO2)mD%jyAG7@1h?$vNvW$ClO`Cwu=YU;Bouz{7*RTJ6 z-_z4G<6)JDUG$2aa2*Vlg98I6jvv3H&fnUUk)D1G(BIA$iwY1DXhudqqJCa-aY-#I zYTL42MMq12V&ZLT#Kiby#?-yR2KEx|#|!1cyG@utqCS%R9;Fz z-~xW%jO1IqK@||~&WfEix^!uB{d|TuzV-c=r+&H_ZqQ!!Yh}MRI0Ej7`q~TU>l^|2 zDSB$o|Ky$zuCxDfnZyFSLn_oUf*aaN!Cvy0s{xJ&lxTS5?-ve>?jk-v*{K`wB2Jzi%|Xi z2!_Ur7Sm(!@+2x`NTC*8J&15}@qPP{%|eIFckss#UHr$?&$Q5|Q8hlcwTV+P{WJkP z90zF%zUPH%qS1dbUGI!Mm)z4*7NTL?(tEQ&s7e9pS9YQ97u9ZSymb}7R?M;1o*u3d zzij#PXH5;#7Yk+|AC=xUahxqToF=`kFQ(Nbt$ujMI8?8&uu$^rN2}}7g=>+78y!9L zS@-k@vkI|Fc?D5Xl|O&}RK0uWa&o`Anp#+7Bq(S*kqwdx^$Lb>d3kw`cjLBx_xEjc z$)BTtZu)RQxiPw?i1BK|)suCzLic5Cy*;sEcD_Xmq#r$ceU9MV_bX5-(n?F`(ksR$ zC#?aE>^)nNax>`ZikHS(_{e@a3u~(ZV403<=oI;NNcqI~3?@mfrTW`;G1FGSXP^WbrRwY8b$u zPNU?|sS~ZkVTYrYvQbE-q6(&~qMu~>Z~5`@kbQzPmE&EntrQJ!5AGks+FdiQr%#xz zlABmM`Zm=kpHVe2k89#0m3rWN$nBUtl9KI%SEN%TVqzYD`Eu69*%^1KE}kMFW>PV~ zf7j8}48ox|F!8W|6R9DimYg;|Y*AgR@L6o1eP2|8X!PW68O1V{``jjhBs*^Cd(jVt z%!QvYY(IT$H4Z@Fig)J){S|_lawr)nW3ofLtv{uopi=#HG7Pp2&WS6r1l&JKLVLN2{V2cNFiT z?oVJ=o%T1cFilo!jn$bL|CNzpQTxSkq&Bufhvt^Npmiox>eQqTD3%GIdy4&qiaK>X z{0?o7k#no38^d8i*N|>tF#O0FQIxo&s<&*kJ-3U;9{^Kj$(j79>WPgxjW*I}`#d)m z$1SseRa^T0vuXI`oVdKNORCpFVTA?vhVgc3;g>`aG#RY5fb@r4;~lXnKZGkYF5wMC zP{6?YncKVfU+6w^C}~p$7tJ_nr`Qwidxj5E&@wW{fbVV<2(kvm@ckY98h~9}7PD%Si_Pw0< zblpb>wS^QGC^?o@e6)CO(IR-H0^B5_F9-Z*zq=H=WqvVGn49XkmimN6M3F~to0Y4p zUXa}AO*?Ej-o+fyWq{s}zBcLAt5?@ds;jFz)Pxb66KJ$;c;thQaLdyR3B-2xf`G4L zOVt)Chxk{w9|eD{ii3U{$6x+8nirU@kwWg`N7T2 zEyMnn#${~t$zdj92fU(S4`Vt0f7-kDu$a@nKPW5gT3JlALWznpI*>|smkv}Ool(Mc zmXahLG%Qkd*rsz)t5Rw->7aA6sY!HDNlhm-=%n*eQ+Yo(*S^p7zSna-f4zUae>{8n zW3H)f=DvUT{XKlXpYP|J2u9l@$n7R1JT+413f$5?#jRG^_EM$2X5#sXl4ovufUb`A zf#x^_6Vt-YWg%{Yzr66)&d?n~r|Cj4mQ+`$E7iwB1zaK57TxzeEFZ^y#I zV`JG+lR^ZCp%&68(W|MMXP8zg{x#UwX8_zdW>s@X#{lyraVxBaEva%&_o8!qt0rEr z;ZE9H>YshT_-du`*|MqiU-wqi-`etnfrUjJLM6CK7JB7+QBiAz``_u3QPP%?7uEE9?l2+=d~br0FnArRi~#7Zcl2ft_T6wigT zx|f{1c}#Uk=^v9y{<+2XM@B|MLqd2Sx*~Kmk=$=xLx7^m3Sbzg(~Y*?v?msusNT6>iTv&(}kb)3X6 z@MF2d9u}MVTZ7s={o`jO-X{7I~ zXI1f4go?A6pKFnDTwDB0Pt~fW6#WH=sY+L8W`{rv+R&zHGQrH=(TdHsf#pH$SRk^r?zv@xKGErY}3^!RfUp|WZx zhmSa7AnlnmX%Z>pP7qTV+Jcsxe9IDwV=~cH#FnRUrRX79#)pc$wk5;BKne90anWXfAzq(jp zzVwzYFH!hzixB1)jE#>=;l?3qWh;APmk|>-;`T%JA@$LtM)Qa}Y!UQ8*VWwxyP-KP z$u=m1^<9fke@BLY__a*FhUCWL;-VU*3o(nvB*(Olo3HtM*LPp|6bX`g`?B-ubHhQ3 zjJX+SWjEYr{DXDeGc)vC?i*?X=sk93u}^oqk0cVc59A5v%tQo{I2-|eE|j6~j5p|P zAgwXuA#pSNPy{^s>(f&Fyy=q%ZcR(3)hz(ci7=5)Uc9x;#5*c(2X=@3k&l*QFm3MH z#9cB*06`x1SQlfii++6J=L2T@IZ7udjl2CFdexY@8M&dm!W^=%`Q%oF=GMQM2wTJb zsYCLigP3%Wp@DHBH>saPo!l>u$Q=R9ca6Rh36KKXY-!Oio;&F>y{M0^ofO& zBta-HXu`~lmzAaEeW=zkrfx90llCShCzAthZ)=O7Aq93F9tls2W_-XFN zw2i-c3H)L28$@-=Z98}CbcZ?#qm-OFyy|LC`qu%fb%o6+NS(el?#7sO^8l-Cg|Rjo zx0B%;Upp(SONwEC%_Sb{KeP2?5;=dM$bTjpe80LW?N~BQ6RV`e0z_Ys6~+>-jSQek zAq}&8Knf<{9F!2ptK@6_-NTqN<4b(g)@Rl<@};?{*E^CrIzDzB@33F*GO?1dxJ zUbdSt4i}b=Bs&3ympDsE@fH=ejWY?@hka>Au*dFbubb7*` z>27hvL(sy=4-?VE4RG|hcc`M0to0=$*lu2L}r#);& zPy$J6Pw%x3`&3I-|B)QOLbsLbgU%D8N}o^F_Mh=`49W^Koyd0(3`<*t(7q1Aa%fy! zI@~!3J9+Po@Elnjk|{E5tgVUd1bzfCj~GdU2;WC{0jwaFccEcPttJRxuC9+9OJ*!JWaEVa|mS=5k{M_7@{Jw_J>=2mWFf#LAGUg*{Y+VBXKF7l-_% zg1T1x(4VbQD7{fOz>q)x+@=am3h&mGuOBLRV-cWf4@{83PK9FQH5H&iEl?XSTLJtc zzx(uo@F(QT&kc)xIZV{O<)&vMz4W*3=~VDIF^`8>w=l&qVK&|_=7MK3<$#Ue{!u-C zR#8`WL-nUUFnLCMI{3vh@3@u+k*)V_3X6zHzI%5A3>>m!JJP`*Ev*mtgfDA;J>1+X z2|6A~Bgx6ZyQrs_2{vB`@rCW@2@6RYRPhH80Q?M!7%TwvF!Zr(*tT&9iKHS=1L!MM z{h^|CVgiZUJMwp}akSYXjW7CxZ=t83`_g702GJFwn!-C%}zve*wm4H6^L zo@EMcYh894ZVm2Js1}{7F)#188y~~C;li6Fc}9Qb7Pu5Z%4uy)xG8XUAG*3u6KA*R z;@$LPh?$UT&mBTB8wW8O>&Ij{P^cxpKEB2PSwkpdVFDcIgBgWFNx@Gv0Mfhyq$b}> zV~m?HHuV^mzd*ag&`cW#!Sf+%Jdc1Uh&x7(-YcgDjL@xdy8ctrl{ z>#Qj>)sr;P0ZFY~;aHmF$(FdZ+iR#)t;mHoCabg6l8d@T+#jgz*|x1(cQ$L5wL@N> zxDaF#agWYHnMC)qlogdIVRxY{d3jtRCe#qh7j8K%a)x6S8X@A zYGK+`lN96mdR_wCk0aSKOga?D2H9#G21w<$Ux=CO4w~yOTK5HmgSs(#d)??T%Q&qb z#Mzq39aj$DJL*+tXLw>>#N~cgXl$&vhLbeE_OHMGx@N~t1x{AK^+T2UoQ4 z0%!zFzy;b)J%1^`s8&51$vg}NH(T(=j%kJJ0)Nyy z#_&b2c)11St;^ayrQu7zzNAoOR|uPuHz|}M#s9qezuN;TOO(8$)fprj21cADcd6%K zYI^#iT^|8Z;;d*juk)UIca0AJL+!t3hM4?ih;Knt22lMH zU8gYVi6D^@yMVzMV^%*eqxi4>@4vrhp%m-hy>hJ`_yjk;V`0D2D4O|PUR8iHS)O?B zUX+$Z=Y$#xl9Hl7#LUgj(bSw2)+jQe%GNCFaZ4j%wdjIcpQ&dYjuLlgr})~nYmbfe z>z8Zls3!fG^w3s8T3cFHRRAmsxr7OSDiebn&y@qvkLM>6-p zq_*Tbz4?%TmXcTI8$|g-ba*-Ct%=SCox^ZP9`A!S&!ger9)$tNFD50^Mrfwj1xVYH zWfMeTC4iWHVCx1;?B5uCO-_v2)~_YO9LpzB|C=|1j+jUlIC++GqK#Z2Wi0$)IbN&Y@Q=zoe@=CK*6*yK}|QfVdyBF^go02OAw8y})~m?)M2^esO(j z5v6ju*gT3i=cm$t=2w_QY-C{I@|wPStLb{}-RJ_9NQsaC6%wgJ70s=v)o9m}=?e%X za)C3Bow`AxLzs1jsD3J=1d48&#I>6$(zx;BAn{y_{ z&ffmqF<^=`P9%CkqsVzF`ZCA=2&%zH3}cgrrB?v3cfN}%Dyo1dr3fyDQlZe5H^{-kAth(I7#D9bogVxeS%6*rqi#;n8+^+E8V5?T z(P(mrM!_@W&Yd&t{Eut0yl1E7=LEmJ4>?o?TC2`>ssge^>-GXy$#p?NpLb8qFU4s( z-U`TCq<^MNQ%NbOvf%GeK&)x{QM<6M*u#s*rWm#xK1s4hpw`U ziVA#-2`x!`{mP24n{=jzSOiT2T{Spw;6&YdbJRB|8+fJztT(z9#3EW`1O z`YvWB#CwoitEC2rFO|&>PYg9P^1-jB>|z^=hJ<>VrI=3ZdfmRQ?`-C8H?n?Dk`H-1 zns=a_rk$e9mf3`;r=Iz*EOVX&^78R1UXYB6if6o>RonKYO7U-BQQytXCgdhv@9W=? z$7%Ze)yg9palY$)z*mFXUrfPjFbkG=8{>Ji(ExC`;p z(77Kr{bkB=#TAVk_Ewu2dMZ>gb;gW$az}-xl;SCg;ovDPud(z>QE|VZE5XaZcd*eiJK@$>r z2qfEW0bl^Ug(yhi;- z=u7Gw80F>38cUaH+Kp6bb&6wqx(}uNhz*&$wMm$EF0%}8a>^*Y?yR_3AOY3^g=z{4 zmWXt#@L)C%rE&()%exc1bg7;XUbqfQ^6t9rSxOvg795;-<;=&OCC(KjRg(O1Q6%C*i=5M9)z4@m^eQBg z)#h&PioNuiJ(6^PTsRuD3Y!){qw}lI{L_U6x{Tpvq%dMQYb<1`HaR1#E4?M!I0q&8iT{6u3;?NUA^L_0S^*3G;Nn_&$A z4I-#lR&6`_egXv~J0S5On8iGiQBlWf&cIfn7^N=yO-?k-364z$Hzx_zK;ab zqdt^-R-8BLvcXqx$+in2>esjeJ@AsR$dF)AVoi`bk=T9fR-KDFfMGWVKPxjE5`5Sc z{pnKXHWh1I@GZUbAAD_K24dy5{S{;lwT0BvT{*KPDq2)9Bf zXPA3ht(6au)mfwA6|z?3yt>gDq$&f)`ZW$=1lf_m0(y(2Mh*o9PQTa-8#bySJ)U-h zFfH zHcKn39!UDWhKOU&1QM`5$U_3c>=!uBz24W`TMsb6xOs($Su#A?1`s?Q10%?V zs35mpHr;|DYuxpp2A|uqic{>g2@t9P%5*;NNy|m z6fcz|R0U%I6lB4kG`xECJ_ktpSN{OS*BYU0tcaCh$kUsnXNGtzg12)#y) z{qKXuA$W|}mO)S)((sqqBP<4Ap}?howWa04bl>2RO&Y>tv{e!hw-3xg44#VyjYb@v zs9NBlADc?%#`js&M?z8LQc`ASJ^2CBbr14Bbgc=l@i;u+vl zk|f4}Qx8a#&k2Ko5?ycG^_iWF(Va;^1`!pi&0%s*kndWL$FhPoo%W6j1qfz zdlWB$ma-gvv`n)zfdTbRoV#+Tj56w}_m+OJ!T$RZ+{zYtFZmXhWB<92?>L^<&#Q;$zOQRtYn|&n&vl1tX{cNzpd~<|P#15hD&9q* zu)m;C7%_Mk;3xHE$;R*>31=le=X>^6&TeLomZ&>s&JIuQouAs6Gr3wiI@#FUUFQ=N z;1lI#vUYZMaFXEXfA-(+;Insp%&%U=ssn!o-$7O1356mtL;i=6E1P43!a$*JDc;m^ zPhF|=NTQglI`iGHFD$wKwHtN4ou!!Tl|NG^Q@FpoqhbB6h&Qd5?hLYVSoJUVC()G9 z+}W9(O{KXbb!)IPBbO^PlehR)J8>})QHkcdr`zdS(&YBmeV6Y7SXe|GUIm}{7ysr} zOc+#WFBcqFnWSZM5zqvi{m&~qJyUj=-t>Qd5NwvTW{MI1A8!d>8v5ebDnQiy->;n~ zdSA`|^H+{;@R|z##~TDrX{o;a=NpoIE)wef=Nr@;f^m5NPZwg+j7jxBA0a?AP-ynQ zm+{{V^1rL`-%A1C{J*TmKy?3-^TCp)?~CG^{%fLR4p^xg3mt10ngwz&e*XMfITd`R z<#?_uQ6Xo*>~L$&yFBXNRCT9-x(pJ*1FUaf{Jpy9Eb-Z>X3xS6r$~=T_H;?}cqas6 zH%G*CZ>2H6Vj`@%TH^PrE4(7;#K|X5=0!J`a?;g)9hUPeGCzJ?vT!SGt35kf=DjP}Z4nbE;!~k>5Y=G zAEOBtFVU}c7d$(iJf~OAA{#RCmF^W^pj+I1@pQEO;`z}~!$!*`P1EmhrE~N0B!-Qo z`A!y9WSe?KCwV7)Pd3{Q#@Bs97|%9BXavmzlVq&AlO7q6n0Q{E@18z8URSwu=OTG1 z_WjR#FFD`3V-_}?Nyr?pT>rhgcj;GjIA1m1raPTgN!5d{I=IM#({*1Ht(LI183EeE z`$=XRHx3?lA&H>-YS-F$&GVicL+|qP2-a)2iMhGCb<)qLsT;n+N8>K;j;Hiy^>fh? zw{5QceLnL;jbFE}!XW>jYg6N|D}9);q%&a^Y!)S(XyPN@E4^=s`U-atk(tSI0(bbW zi@zb_NnxFc{n?Dmo&M$BF9!MEBUUCAZ35k)FV*la2a9uatxijk_pdHeS5 z4Y+UW;ivbzE8NzNVHc&g+F1{J?0o|A^0wLG>}7GJ6sL1pk-uq zZG`9QRSXoe`rh|x;m$sGG?U0iSPO^Ao*#bqn5IP0L@IkNKb&lOcQc?xxY}oRqV9^* zeD}+)xu)GA6Own^7gi)E4~Z{aq{R+z^`B}EnL(>Cyv*b>_oyzA-W|N>u{>ZL?Q=Ac zE)Ov`RA7X};Gf+WQ=9G^358w|Wa?#4g_2w7-Ns(V#*$YW@)9GHDK@G7?I?26kb&S4>p$XR0JEk=AgO=YSE~6yW%4=$(<{iaP_9_}$bG5Tf%M7&d z-w!VIJzZX0T+}Md;UZvg|ARq9Cr0X8Lr-nuB`9J)kyd?R)BM+k?Zznw z)9xfe_nm$f3}@p8pY!8MEWbRuST5(&kuPRgd<`d#mE(3|X&Q!(9qf8#wh6Wj+=V9_ z%_Pqk(%drNzsDvH!6KyQQ&dw^TX*Ab7O3;5hjdSOWB4gmiB(V2`&)4v?X1y%Rx2jI z75eP*5YbCeRE#->+fL-9`_N7~&>)8ht;)8sm=$dfclEo}=2B;8=Zo52SP-ermP?g$ zuOEJKn36Yi`KgPFsuPAPbuX?pochu4FJ?)?Hg^kOcUcG}-FQNkt)A?!!r*}ow;GoD zCyb}yYt4Fnc#2&${-d_2))f2t&~@*1PciomCZFw;NjewVhK(TpciGt&NThd2e-)ZU zBj=s#+O<}GpG`u+??^y4ob47?u2nBPG~!U34i{S{NxH3R7nYEo@7bRRkBk_ctUQ*z z7wV{z$vHGJaq`d3JlbCyNBKb{qk;;vP#e32zVw>XyA<_X359Y1{()Gv0$i;N=)ewEu`TNRSzuNigd{0V9SQvrV z@#v(ohlhB%-FO(Rz|836nMgfcVpc{5hFT(D>-FzaPAz+|#}OaznjP&dxv$slZ=HP`a~*xQap+aKKjB#fr{$mML2{e#$qZxNNDfi+4tWsdCESz4 z@4oj@T#UXaMVVY-TXX!r`WWxVe9uqw4!=cS$x%-dxLG?{@;Dk(u4wpa=SwWymYtuU z9`K;zCD$qy;KV(9BlK*fwARJ9rUS3|y@$1)AIDU?B6?;A31c{t(lM`K_M0NV( z5N^pp#A+EB7_{(Eg@=A$JlYLlJdrEwhHUX3rG*6X&z(<&^#+jOI}40zD3rv#jE=X{ z&r>UmSId?rJlAzmT%r^1S+?~-gw)(hN=nnGoatVfD6O*@*)xS3lP*I>L(9wKPT!?- zP+Ak-`{T7fhMucs9^3n^WfeKTmuP~Q&im}^D<*v&+Su4=|6N{AXgEJzzpbr}K9C;z z>9P|*BBO=k@`Vl18JKjRx%hKue%`9}sR)nLLa(l4Rcg|Di0nxQrrhCHVgqk>-SJvY z-V+0kIBi>7+jvMpAF{F(${4Eh?IHATKd7h~c`^)lO;IxZd1a#Rq52bRYb`^*M8|$5 z>bcdF~ez~;KyK!9zxQUOAi8ItDpg#GPJrIu7rOAVDqB`q28fjtQWzVJT>v0IF z-W3<$txXqu&cbo$O(0Z^)5?9cS<*n978f?kK_bl~{Z6_JJv%%5w9*GQA%h2f%Y_ZZ z0gZn4-pdd3mL?B--QIB#yyn$+9Q3~Cod5L6lS`v=L-MQD_6?_dS;mhwkNSspcI+{m z1y0l9%8(NuaN%OpjUhvHr*YTJ|t$AmFd=Us3)P|-yyS7 zqc-+N?O79UPnD0_-AmZpoqbbb)_h@QxC9s0Te8-;@bC4i{I{_^R-3;b+M6}{CO)1Y4deRQb& zfmeNP1QsecKffpC{(}c0zGvI%ZTY@L&8ZWRSy6IqN=4QI;@q{JcpgM)$R`{!pS z6AMsgv2clX?u=I0GhQH~VH#n#W@~s%IGycWES? zb8YJ()idr&5NhAMH;}X1u`~a#^_e_B+t2;zRPTkLRb#*f!Ax$~x-S8eQe>Uy(XCuyab@#6xodNt)`mNeOgu%uigBO?w|LDc5+-N_z>PQBu|U#FHo?(LhYsdbSVsn6V)`(6_s3x7iOT1!GAA1fx(|gr?_^xz3pVTJh4jt`cy7#nCeqs0w)41FRI_=Z zJ2~K~NI2wa!yBif4Tl$}7#_NxJ10fkdik8l<*4UqYBkFVFJ~%k| zr=sEX*~G4@UDuQYN^I*!m#M&?;x4{s070J}S4D2zm>PbZ-Wq@P-XGVR=->PZYBH2> z7wE<}LkggfC4pVl92HyKEhLRAX={@q_apc{Qgq^#3BX09FxpiwaR`fw&UA35w*X4e znMxK(xyY&#)gpVgNiz8JXXE<*qn*Wm@7FZ&~58`VA3 z5uNn9?gPhgWnx35;A|H&D<9C^vm=K@MP+T|R@-R_I z%6jMI5TRdU)d-vL=1IZT-}6``Qhp!Q63si~uO397ACLebJQ?ymrH<`jWAHhcsvp0F zfSna+isu72KJa_vSB$$}Vemb9E_LuHfaZoR#p`PigQ0c{et$*Ay0J5$$x1^s-7C4? z!c$o5|M;!Pg_*YK?@!h>eUC12^YA=}tp8`^Nnz{ucUfN+(GasFpO%CN#-VpoM5d~j z3z{F=*99SwRyh+TxdFlb2u_|}gO7Kj=ry4ibqs~ITLg9ur>?xlwKPa>MF6D9*;e8K zz>xem`)@th8t;gX2QH-hGPsSqP!|uc2u9w;L!BQtoQEUj0M3A@!;q01bDG9X*^seh zwumR@Kl`Be)@$q5$!4^#BBU>$gJ#C*wVL&B#g<(g=Vz1W%|X=0T=SlPUgA1TdheSx z2VXpx*sl*6uW_3JTtVLZaSaJWD7!`wZBq{#jwsh^w>4_FdnJ=(ee07J@;((bJ*yZG zh6;{laxzW*e6?)Ib$9||b)ylN(G+46*?#12XCMtn{c%CNjs=|htb1ZMQD#Xq?GtsL zkck8Sxz#nd2G8P}|7jUh{l8%Sf8jK64x#^v{`=P!ii`RiVf-h*K8p_-sggZjLSD-3!@=?dH%VStLnaWGD6aN8I#jV*sw8<81rPh$f^@B7jPQ(67XeU%Y8w zh(`X{PfVmXoQHT*7NDUhJUTkM)UOMlj5>OF`PTo# zNBXtq3Z(QT37BERn$iniOYE9TbDLyhv;zQg5r7w|p-8sCk$b3^rR_DxV*)Yof47N1A$Xj?F_MHD?(kiD|6NfL z8PaxKv9Co_cf!6oaWoC7BCCSjG(^GMMG7Tt4Oh;jfpEZS(QQt}HH`w@HjoLW@;h%I zz(uK>{Cgc!?S@q51yW!BFA?`&yyE}TlK=l9X?q3!&5wLEew^m=`alY;`X^=bgd;30 z?2ofVk##?d@QoX3EezKo1=1kr;=fbiDF)S-UODAR+8~7x;?SWmN}iU-Ze!1JjlFku zrS`|1kaoAPug~vOLG@p@z1LomRDpzdrkHO0kp(mYGybOV17q@(eB2UGt=S_~e=D9GBEN;z&O@ON^5x4lM6ZTLNf0FYD^u{^6y5 z9)KirfuN~nR;YYV#Z!{G*CTGlaZG*8dD{dz=pVWdfp3E!?~y_G^ZPem$uJSXXM^m| zpNS$PBaO-r`xHnTXEt9A0o4_?eIIC1jhst!b91?$Kf~&Xd&w}axJm+@8S!ncC;LJG zhH{oRyE!^WS2ZG5n?k9wKoyVmcz zLu7?uIg-^cz*nG_=;`TSDYCR%2tk>HSKpE|;8XZ{m7xYZ1!ZP#E*|t64poM#IRkh> z^6=Jae0wHR6zcte4eVM`s&OH;JY{}JAlFetCRe877s+-r929&^vbr+6T?ewmL>Ew` z+s+l<-J2o*xwZq0rWngaZOglv1qH-_RhvE}8i(m{2gxzLdlB|)a8O5J+wY4WFT6P4 zRdjbWEjedaSJMKUobG$(5uKRjSjDUm{AVhJk!s?Cy#1fJ=YT9ctnkM~x8H~7kOXukD|_3YfaQT)eTC|U8=m8w_J z;lK^R*Kbku;Yho2uu}5f0YK!QJN^Anls*lNuuqlKVLXbSVVS01{V;&Zg%*0lUFys5 zQ`j(wFnAk$wJN#%QHS8!vuD;eHa9&zCGUQuxcgDZ*t%LHC*Y@T(9m*F+l)5OCrLVD z=)kh->gXW=;TK?S;6)XV!w{{auKD4v`~i!gnl=TnN7>%ybgJyx)1N(>YUKQZJ~RB(aACc1zHhs#-lzT4_L>?$m)f8#p` zPRkN~;4XlDg{YnS#)3J$)!+RX?_i}pX>%Uir^2H1K>xn5k*h7*PpK{Xm*%OZhSa~XAA(_ApfU5MEv`5+5IL3XKqw4uNw=p&AZ*?B5M7BS{)M(C#-k z2z{Y9&~PkFmWK@xqa%j%3oY(D;EX_7cvxYlEn8wRR6$lir~WN z$9(aG1kTF0ODiheBz-yJ8WG<31mM36+4v)xc_M|J4SMo{wm|s|2I(~M@eD&;ap6=S zY$zStc^r>~Y0XN8P2tRnq@Xo&$Rd@u-~r! zF-_@KYvHD+A`6k_IRi_;(wSC_X23VQFU*9J15Fjoqf!NxmUFhG$VX(#LE}wtiZx9M$Y;dpJrGIJE#qN)q8}4GG@ABB zX|&7kvj(jEnB9KInsWL-W$=gqmW|UtoWGu?>-Dwe&69t3$(u93S%bxeaz=O2;zW{P zXtJX-HtbM&4t5@;HS%VEsKS-R{8ioi!ya(N;Zssl0x^i!+0~`}-~n#KBuPl~OQ2Sf zwDn}DAPBCs)%@kST}Z3>&0DwdL3IOx=VF>hh$72NSP(@P3?*$+f}pCI>4pwr|Ss=zY zlYiP$9=}y&>MVmQmxqp3m1FDw0`ZM?fr!*xmzU~ZRTH#C{r&ySsrs|OGh>ywUE;^B zbTF?nJ{I53>%$A$I(t2C3$+?voUu;|sxEv73GN@2GQtlCz9j|KmVPT1w7U{!G_NWY zA~;19l$4;-d<8~IMAh`UL>dUk zHE+QKN&)|6kW9(&Q>ZM^paLckTmD?41$+Q3n1k47?n72LZSDl}H9n6PX#%aBVwFQB zbFxr1s}g-mTK;feHsg+D{n>)pG$mnvZw;2$wInt>vg8E-wtoAv{q8sxP3#Ii;Wvn` zU3aRYBM%KEorOe=VxkJqsH(aQViS~w*49=KRN(j_U1LglQL_~@5H=GDr^}Jy>7l=}{wEVzb zj44-`$pL-O3qo*F45(;*q+=$$ZlL|mRN(9KZWA2qImgCTSB1i%=2ch12MMFAkT-%m zEc~Ged|!Z+s2xhn)*ZvjO&i&?yvqVv)Q!|qvfuhehs9lNbk5zYEi=zSe@^%#|19>M z;+zk5D39a)xY}nUtBHwmDjQhuI%8wis6JjKPtE0btgJCCP(2-d&1V~QU7sj(OZH84 zcB{D{;B$O5EIuL)fTD@#>RhX8%0^99H3F;kyJ8D3c;r+s*QD46%vT=IfXaNt$h{GpTqGP4l6dZuYk6{;7O z`PIBAcg%dJFja{?u}phDj<>0OVAh*CTu5gkhu(!hu46W+tZQnsxbFicuB8h63Zxwf zw0MgjM;(W3(Sckw)w5gDj=5+t)wu+=+a7hs2d6&3lHAm$fOQO%XMRq^Mf$c=_?BuM z&W+3%rS!n!f=&+LF+HKufI+~gxaOs0*XvEUG~hjYJ=g0(p3i&>wZ^#y39R*6#Te$h zZMTlM(w-U?`>;$pi1(%qPux3~P0N+0LxUC|`=_7Wid1k6QhF|Y`bp3*84YZk*~Xtn zuB%tcG83SY5lNwBp^RKq!6c8QfEwICG7<(H3UU{t< z)~|-EEx(R!9{VUw9&MqLAVLzZNTXkwSw8pGRUiAkt0i+No%P5&=iz?E%X&-B1`*%5 z!tZW97fe>q>&Gg~BKcbx$ldTGnZls_sqGcXnHd%`;3 zn-)H5S92#~@#JW^aHcOqL1lbRw0`p=drc}ku7{zDWT?Eejx1(Otx!p}&sxXD z;h`;@`Ry#Y@o_2Yy@j#k4+ecfus+J|DT_VVOxI4%I?3#(zB>A{xV3Z{9i2{BZdWp_ z*kGN~fmVtt)Z$``;t5)flcNf6g)8B|Eja@~f#w!oyvozT>Y~{*G+{JSrs*MFwSF;c z{^KBqqSIGo0aO%x@yZ2ofxs<*_D-Fu32bb83^Rnu?_x`}MpuH1&IF*-oj z*Z}E*e&7yAv%q5xfbR$&4}SyEY7jfh!TR}`{riEXN4EQ*nkqbhE?7{1WDBOF;y+T5 z4iR02_R5vbf%LPTq+hts)veY{49Pd1{Q85?_Vas?a?+9Pq4IL28)J|K%iBsMWy)D1 z$X&_&H88^Cb}FD0A-dR)A9n>YGk7(`>4>39Lnfbs2msMop2+6O69pzx;3Fxfri5RZ zN-;dZiR&6RbhM%n_f;)rc|e7K+mS}%CMIAe)orb-ED2+1rYy?(SubwK_Z?Y6KSX|P zjhK3Hlf`58lr?T_ZMIvLunaUE>tMS3@jlmLF=#-`pIdLb^P;bI6t%!Jc8NoM5v}zzf$4_bSY_=?idnCQx1~k~26-=N z;O?MQ)U0eDY|hj?tpH=gSZc?i2Q-L{rliZi@+HlEfjhsBAJXh?(6s;iQ8Xn5`bBfZ zaCMTHZK-U#n_0X>TF2Vve|9c9cT(gN<5BIGO&YHS4jdYp1(U)RxpeJ|VH1DN` zt)M`*g1SBVf#V@lLNeNcO|tN*ND57U@60AxqcY%Pq3?mMu%P`gU;_sP9XBiN6;pBxfEYAp=0&sO9o3!~q;O!wS>`;nWvFp#v9!dC zKuB&6%Z!y7NgON(UdH@VsOnZjX+E3-JWIB{zM{ShOAmRelGL+nd3hc4FGngfi~Weq z<2~sYQOVN&S;WDa!prufJz%!fsb<_kjLxBE9E1+24y0@Rjzc&8MKgf%o{BZdar*Vg z{Cqo0p44sDaJ}y22;;(#p=F%D!|_U}s-A2D{U-(|KE4w>6Y&_Be%}|GLG;L}?iek$ zBm@VM;g@r;oOSTjai|h$vXQ@PHP8DFBnKicBQ0)k4KbaRJL#tT$t!P5Fwa~Cm83ho zfAJdZ?N^ZDsF6MvCo{53l z7yuNG`e+kSIFS&*?7ch>3Z!f?o-Fod{I2s9o$%Vev-vQzaw$6ntUvWfKMTWbfZ1a7 z+Gy-|GYlvnJNhqyT8`2zY)YhQ;N6FJL+1m)1UxN4%~O7DGi0J1 zKruogbFDF|41+Wc{b7tMo8p=-D8>d4A42JQxr9_pq!O z4SL5Kjjf6qD|PgauAYxjf3^~nIB}!@MY}Es;WfvPnI|k$s#HK&KQ+da4oZuA5*El# zp0-%mV|B^H6!>l^RA1>#;?E%2qi(cD!qB?E0DO`^Jy~P)d$Bnf!qeg`gW}* zM;s!pw|K6;u&>*_j|k~4dAgrabW}f=Bzl0bXM@rYCelDS1@umm;48rjhMUEH|HCMAUo4;yq_jMB0)eCUpE<8zXQvg!PIt2I?xkQXh|F zxVRpxdyylm#|gil03}v2ioX4!@5c{+;IDw`Meq~IAzw&O&5LM&=+?DN0PmSUaNK}Q zm`F*9Yu%-w6$*wn13RG6Uo>^ZQPb5-@G*fz8gW8Gg4p@Vwx_Uf#u)b-tBO%Ux3w{b zYXjrXsLHKQp3Npg{@ET)@7IZLRfh7lu_{l0M#=rA1TGnxj1TVTV4_uXp$CX!ay&Am zc(4hj_lxaMZtQ@YyhhdWxB;d#*$qi{3`0y%*Mc z!?_F~Jy-c((CMrrqZLtpbQXM)PVHzVR(Z6$uD*UKr~&UlflZt&&Q<`_Ftf3?wPb=wEJ}w< zEbT18{Y&TKX>^O5{<%xl({Xyw;B6gV&CQ0YELR{@+L?UK&@ z`w(fYDLr9mypN@WP%LwERmIAH`+5#h^}IJ(o#S7$Pr`521+296;6J4!Hf%)o-8mOJ3Bfo2U;hIRl51B<^H2AqCq9Y&`Xl__d(=$bf5=uu-@4vjobOzWpPI~VAM)x#y?0Q)^hm!^MQq6 z$~yapLAe;et$1^ID>4W;lC~KDmIzY8jLW8Mfsk3<6n7Pu|#7@d`E9bZrys%g@f@R%BQ)!WAWL zHAmgZYk{Zsl1X>Cr!64)EDnfm;IG)d*su-q?}NCZ8+;L8eegcC`dOrKv`R}$-+lOi z1GXwT7nd8bJX~9SK>EQM2gr{Y!U5zXyQ5WZ+|wfqlJPs?S1Q32U&VK3>{p7Y67*S1w0@%MsAuaoGW%! zO5s#4qsj^jSTaY8teeKr_4H>dNgHz_)XeeH;X?Yl%N5ujgFdV}c|&M(4vr_!`6e{e zWu*D9|5X%lTQjUZ`umB~s}6`id!*3t^+mwxfPPDKs3N1d zXt<&JEODmGUA}l;b@a?D%z>qlD7s%7qJ}$FD~p-koCc!1=-12(l=ymVV%i5U0Pw=H zFMqJSMG@b;WZ8JTw+q_-Op3U@$W&?^)TX;(W!dbBz@b%aR5?!**>i1#d^Q~2Ta4&6n-2Usd%4$hNVfmh1raUDs9jAAR-xT z&4(}q_Bye(lZZzlJS13^YK#g#xw@`TL_&v>n?2`PUMo@cK3CJWzLG0;m)RCHl?bYgAS99~_xP;PfQie&AhpbcnV;Wnk{*KuMeM!ps1~aHiaNJGrpb<_s5}Sknj6}Qi4l{ zs)Eq#;G70E7X$uwEnpfPl#8;Bkg=5#Sqv;00C0e1WoUoJwRNG&>X3NFalbDU&F~9e_OuhjT<)(X5%zl z+Jgh>Ql4k_N44|_sGs`-z0uEv`{qgd;^?ZYwutHnW0;;oq!-9Y?QSd>O}1q$$?E1X z=+NXrNpu1H1WHTP;x6q!l|DE@=qAj)??JO{hWNbdV|>9~l_guhwdil~7@az40ZI`c zhrUi`e;z6qTbew3)B^qjSlYkT`V&ji-pZMjRpr*R zN>wK@V-HGYEh=K+q?YGKXpL%)RFp<;on<-&@8MK^_0!nD4|e-G3yd_4s&C(vfj0uq z6X-55Zo~Eh#SNW4Bha~kTp6NqK}!Pp8BsQYRRc)~54gUPVT7kwWy_>JMMqWL-*}XC zFA}kWE;+kiT{-ZQF?62_8lOn&0HjBBMMPcfA^zcf6y~^%0P*UUG`{|No_Y=`6fQu8 zWJ6Zhu87*TfX~uL$A1TSA%~4WH=kczjgmk9QelY}0{H%N`02O3)zN5M5AXm+B1SVX zZ-%v>NRfjgj;LclmYgTJa=mYf(XEM+{ATdlxG8lw8wYI&XAKWgvojVPI#%Xzi7nxP zMpQ^M1~8QsqZc6>A=wZy%FuzOJrIf;xFr-~Lz>M%hym*ZP-(AXZ_;Y>0g+2CNuI+c z85WrIROFN6YRrK`0S~#cH7)S}i&9mMC>J}*P`<6jz>#+^MqKk3Stk#)WUu0O0bjt( zo2C(-!epB+)Y|UN9xgUp`(s|bLqkkX`Ulf);$AYZPsb=TznUHIp;d&T#YpOP+9Gth z0zBIA4)^NsgG&mG%vO@I;rgCfNVbSz+=%p0`C&AAhR3_&;>@D|Dq z4hYg zUKz`-55O&+^|vOI%l&w@!qfXv_P|oL;Q|;lwSn9#K-ZDQ|H^-eIPIt2|K$5LjvF+R zu+LrxrKfT+Gd!kiZUb5&=PDlv4mg=a3{rYGq|-DW0rrp{xd6HEJIp}@toxoHLo*I- z_~OrEyNct=om<)zK&aMFD$;qKE}OLd{rRaMj7YCvzm|DY0e1>b02QDv_|vsAPheEg z87X_`j8$WiOy~|M6EmB5)ZKmr|;^i+7f(CHxTioLxGP+`RM5`nPAh|Lh% zeKG&sz^Kl>_ER9G-*JWAo@KrnmTKUrfpl4cEP{%z*E(*l2uB_4x@>v&jpW+(l3!8vp%jaq`^#*2lsftU9 zuYu1gX8<2i4$SvOk(DWk`WFvGL|sf%7~~9SWNO;K>J+|Lvl2saApo!%cwUu3mBbr| zlEv$?>m5v8-+Ako8SolsCnEXkVA+JnG#DDs^YQWUJRvykv_m;@Iq8=k*74^2xIBg zZ@)=_husIGDG-lHzJh@fYoK8PuFd(gImY1O&=DIZ22me1q^f+N-;7pXk4t}b&(raX z_--^dEw?7P!dNT}eX98$>vqVaSDIKBE`_pe`Ct>*yjA65#YL~wvS366@{EXX_2e2B zL&FWpHquem{BqSo>73Uf6~43M>x-eD#j46pA9}0;nx{ygb$*cB66wk!`BB7D6lq60 z=XV6N40{0sOM%dRv#Q6&@q%3sC}RQINH_uJ6t{r6*WwC9be~XN(1wAc$r<=aUJOP7 zQjL$;ae<%Dwwlpqcu=pPJfYGif3ijjExOhy*@W|cg(`(83ZM#@zq$V|Lj(zOSP77o zpT{NkSRvG&F5i87Sa7`>*Jq7B$NvZk&EV7lE(9fkyGnE2Dk85T2*wuN-v;0>Qsjv~ z8yQ?JMtp_siY?dCV1 z-7B+za%G@vMVx$`t4OROBc-kFpPWOf5mv*3AR{SG@aV2Q*6U*#W6 zR2m8WTlZ=FF~_cJ-aj}22SWQOK7-!Q@N1U+J=e_x3ka|tU?mdC0k|Z=lj|xHY0BW8 z0&@#c#b>9-$Z#LR(uEMy%l~7HQIJTZI@E%$FVMZKfRX%OE{U)#KI@2(^so(UINJy# z4%_{{9_(jV62{S&Zc}YoOogNxvw5}i@ew3)GT*Ud^t0CFY0@^iMZ}7s>Z;QLdMVpp z#{EUski=TXm(7{)49U5|9kzr=jGv)o<|5H*w;6h3S_DSi96jC}YUK6Y%R0{)uz||V zyn>cflE2SJPGZTQ^AxT8gWO9n;AKM#ekl{s}=xcI?&ZdM)VX)jW8(&E{NxQ z!;cvg6rMm8F{g*g7m5HIlpH7^U=sPWe~jTQ5m!BGm&tQ8T5%JMHeoKEYq|!2nd{*2 zE&p_N*1c_AW*`XuHUBPPbnp`k$J~H-94XP`%`GUPB6%>o3x=$x!^KK-G>>Sq-4LKa zBmH7Wu&fBYUkH>&ES;b4e{#U3Cj^_;cd6|N_w%^)6Qts`jja_SLvz#M)ckuL<5Om4 zX4gvrWatLkn>@#IzM2&wC?&=>(g&6h{Ot$4Gs3{G#rX(!FJThubzhF;HSUl-xT+RJ z#}5k$U4=Z1@W4bE;_oRlAPZIe;(P7`Vk}rP1UpS3LYk(&w7+7(2)Vtd8ko`NmOrZc z(3pdehmEVFO5ahgg7-_`CA;Au96E+MfrQ&1J4r1=s6wx^CH3d}jog(Xc*ptj&T(OC z8ID{+7bGP4U)5h{yZMH%vJKTwIo!$07B9X&h>^jYsLHn^w&dk!?@JRo$ z*U26YL_VCs_5Eh>n)-QimqoOi1H1f6IcwU4yvDpJ$yNXr-4*~SCSf4@2uLcOskK?U zSx5PKiy2UsA3pR{B+JpVircGsQlu9c9u9M74~)f&?jMA;n*Xl%mIT{I```$C(+ebk z-SMnrm4NA26d3TFhZi8@0Ja8dT1)I(Sa>)%Gsd2cO2ZUqR(bh-JiTJ;N!|3Q;DXeL z0OLU3!|AIk#K?`h=@!Kg;|S2qu%cC8&FH{np|eCJ47Y^e6aX<|6A@Drja)Ayqfb&$ zqM&C*nAIa^`pL7s3UDeMmG(?*!JyRJJ`9ff(^dO@YZ>U?5YUi0dqU!SfF33@<6#TA>#?-UyJpB0>b%8w6cA1fY8&#Q-`taH%0K#l=2mKu*ly=y4P!FW|yU z?d)s6s%W<0DC^hE{#aNxREkZa-JCdK3N0YN+Vw2Birat5}1%-f4deB{B z-Fyc2$H4Ehz8}8+`*FHA2R1JXVKc!HQbX5U2lP7Z+Unh}v;wAndgTQL1#PT;yB9|0 z*AU7bOOo!|c&OIQx5$7@E)Zoig|}3@$RHcTn1-%6`QlVBWlu$}fZYkSe{f9zURJF1gwhG+p5}%i9dY=xcr`8zJW=}Q zR8??9fmc7_L0GoS3Rf7**lo!7(*{LPhWNnekP60k^LkKmz{&xB;R4dGpRM%&5*+%^?Ea>x`k-V~*Fp)eY(rP^56?S`;F( zm`U++g$^u0B{iO>+C>CPNWK8yK*kLDOH26f&pDx`asR?NSRn;Gwk&u}>T6Z_VD6Ul z2wTpg0TQO}r~9Gj_l6&_pyh;VrOj)IoU##!DhIZRnP^!mjbmhxA9&`2MiL(f^=F#N zLO6&c)?vFxbm5}RbK!QZr=TI9i+#lW_2$MCMW5A=UtvPn4fVC*bhN>&BbMDu+M-tv zuz#=WtdJ;^?0zRO_(0!-?8vGd@fDnOpm+f}0t*dP!z&p0Hhgs-*hug}0B~(`Q8JHO zdB-Bi4X&<4uoPdKCh5Bxg~sC`*lwsgLv<0@ z`b>Vd&;9MMfX76{P33->1ZJ|Z@`gS&s_;@)&e%RyLRm1=gDMX%;JHfq8BN|q?-9~t zIjZ)@`3yI5NXC|mKAVlo^yZt~u-Pupz1Z23`AA(u-5OR7!CP!%Oz3L3X-0}&Vm z7XlPcg9`MrO*=~iuvHr{Scha4!^zkVHb^-Kc9iDOj^QW?W&#n~<#iS1etxqX?oey`B!Dna>+M{^q zBLXix9d7V#uzdmG11?h<0kklC|LJ}{`Q#y#U+`DBczQ46!^|fb1U5*n4oN9=Y!^CS z&au6K8AWiSA>McxHh?6k^!#}dS4p@c3-Y*&a{I|Bn14p>iooGR{RJ;Jr0GEGu8c_# zo-3{WdSgjEge5#IaSgo+Bq4vbc%6VOQR&Jdhe~ky z&4-S+8h6-!^hJJgZ~XZ!X(iSA!0-JviAwmO;&uU(BEuZ?@P^I5D2! z7`}CL^v<@HR=rg0JHxeG$wtL9w`&?oqkK#gnNe+(CLNzJkT*bHEHa)CbrCph-i?OCM#Fm+!sD)2w5rAPBu{0q)(iZ!iM@TnJ&s+GdMw zS=cUvrm_1J&gMBhMudh$YQxXgLIL^&n4lET>bnp&a7S_+8=S)kY8j5>}Ai6lf@L$j%a@V-!TObXcsA;~Hxy z#6l=Z(W_xjSEm{iqqc2bW0|2rmDsM&F8Q7SU$$6JN&ZsV9sUs+@`PO3_!>&65Ccm( z<`?~>Kzvt3ABT6|;VLzxGMFtEBR4B$RqK4Y;i%=!y!p*S2yr+AlY07Al`U{Xfjxa| zF{YT5BiwH!apgoPSzUfC^DI_CW%(H-kbY}O2js^fcEV$ILeT{KtE0F|+JX1Jz+ean zoZt~dM1$s#Be=6LMHc3Ar3qXEbe!1{In)u@sxSd35X{L~m0x9mJbF`@7I`|%@P{M` z?<42WaP+0bhhFc2T#P)bsq$~$r>L3NvyV!Kbv}ekzq~yQcKm`jzY?xEo*wOT<3iun zR%$cQB9e}W%x}ZIY3M%KRX{+=bN8KtYWGOKcd9@jSv^VA{_S6@&!qnhxk);}qdum_ z-6k!I(!^K6|91dW@UM{PHkpq=sSvOo%;iga1y=cH$_IuoVU+s{>PYFEjtM-6g_~b< z9+{6jgC`|nE;>KZ?l1zq5SV^V)pNv>VEQ7Dg>bZsW)d%1N8=Nyy(RlIGL`1Y!!d z_wu~p_nik}$k;dv=F*YTerTZB5Ly`VU;u~$#TN$C+Mt6(s!miCF|en)BC)OJWFI_c zr;7~on-bU)KZ7?3e$Jd1qY(D?X`DOjzAjbvEb6&@@LkAif=;7)m(Af2UKHN7T&D<_`&z-Vg%TZ z{;vebM><|k*D9c5}o$OiOjmdi5o918-Y7zvaod8Td=~_z| zg)hLfb`S};%M~agN0w^Ov3KjEz!Go3%vN4DMp~BnF3=l$4Btl|z+q%fR-euc=i}zm zsDq~-OrOK^P>R~Imh+eIJS^6`cMl8vfF!afq{x$y5HRRSNRxe@1w{;=MKBwbO>$WX z8%XFySBinPg0vj&Ed}Kls2}tYJhsvElH>+$XJ|w%i-Kp(fa+Y@HP-U4X(Ry9h8}YX zC#YEQRph+0#HHAJKIpg3ZKxX!#ph!qJ+HWZ`FUKz_p2sqAgrsy`zEi3(oQ81yYdjt`)(ro+ zm4jjB!JPvt91ky$&u2C&Q>?gm!3S`xKvkqF$0~@%mLM0jN$)G>h`SZf(5WFHG2z%( zqv0kdV8U=ChAv=7hK{%yJ|A-vm`6l|hHZwH0omrnF36En0HzW01Ry3(NHg=1=5hj# zj>r33u3`e-9UvfoIPy^kd+5z9oQU#lnJ`{P5Ij#WN~Pt)ju}!J~`9;AvZ_D|S0qtOtiLbs*~4wTI;>zg(Y1eB`~q ziyk3Ql4JP3HYaF5A>{>6<4Th9*uppBZ%(xags9cP)2|xbP!?zeOGqm^iOkbhjli>b~_k>8c+6D!=EyN?k~v4#AFV7&Y7`t z;$IA@WMOV|pF})CHIRw=VwJze&7jnW!qfB#XXqql4Ni|8`NKN8X^qqOcNIIG;0XXM zrs53IpM>gAW%=Wfu+58J9hMHOg98UUHm*-W{>rmLKm>hPiP4oRvJ%$k1Djb};;1GJ zV%8Fesis<@&o0ZqreII0*GET3i-5VY8|9~{ z_4$lgPL9qQqcoS9iq^rM#=Y1SKXirY!X``tn!%$sR1Ake%z-9R;Kj}&--14jM;d!= zDnVWD25lV7Pf*4)Y-da4kNu8L!9fyUsM~GR2u>g5*$(s-%QGKapk?s7i=7N6qG?F~ zy5jRo`yW8x=cQV9J%p!xAa>}FOd-F9T2Y&dMT zlKF^`q_QcpH_0fYL{U*aMiGk0$|lLkNN5lliI9<1N|eyDLa0bK{okK{|8t$|Tvz9u z(DQts&*#41_xt_2uf{U0f)0+ECPtKX9JGn3_E0OSzyNx=jmh1+;Y1J@>t08-k9G~Z z+ah#}{#{F8Q}~#cYRqEB(*DutKp9$ibg-r!_aAkh?M6IhMiTmW`uT&ZTC&o+ zUE@BwcF3@Eglh=mas64OG-=opUr$eSUdr>#SS1T&&(G*OyhEw z<^~g1Qj}-Eu0#R7f`Yg38p`SNuainU{vt0@g96Ipmx5}SfRW$b&w#t_C8cd_(o_fh?(F);zj(cy2QB$#xY6X#n}o^ zmK0v=@yp0(V76{b|E;}{g-g5|$G|-rKMsUo?hD3@_>cc{In@r*(lav!f0q6jsm3Mo z$gwS>pUdfy&w>YG-g&xwK!BYYOh4O0>v#uNdF$)zdpi37)7L;?i|>kJ&+m{2gc05p zqyi$qSzBM}drgjw-1hGqCAN<1uak2_A2#Mu&R9M@=Z$<+PJVs^=zF0!fxg1bk6u!M zJ33htS_sCsjC530)IRSREvAkq>i}JZOe+$kLhMZZ-*Mr?K-|j%CM4{S86CP3KVuly z%_+fW6f0O35EHO%zfY{@iY?4UIqEdi52h|%GV*^iEU`au6_c$=kLzWT|Do9&o-3s0tGv<++j zcs2147zOZ7x5LqeHUz?n&2OR-CNpwvfrTKttEP|84as9K`;*0Z_*mU*-|5}|K%!`% z{(<2rS1?3JwC-3##MXPBnvp!=5U1W1!v9fQaOPGu(q|)XT-;sp#|%hT&)^925+$3r z8mVj;=%8w&{wCHPxcI%EAsL3QpA5SvU)+_ao9t zueLzZdkl37M{h{Ko-^crBr~BqVIVAf_D(ZWhG<}uMs7;!86x6-Q`-4(sSI5mNQLm% zl8OY1_V$B!kJg8BBHW;Q#{x`8GPpjk9HXV*X`MDCA;caR84rPn`$)+d;}CJp?I3HDE~)}Y(W*X zih|GdJ;euTte@V94%j=eWtqzD~tGqj4b31h1A<&JTv@w8UboDGe@QKuJ{h7*_danc7d&x zXn3=&7b;iYe%(1bt;DkqH&o?p{Z8EYz4vXGM4>C(qrXK0dh0kSUjb0#CsV;n_*i+k z9^Gt@$&<>z(#i{O?xz2lG|>E$V-?diBH@Fyu}50k4kk2m&+XZK=+nS@s%jLUYF;)Z zJB^CWN+Zk7Ogs0;^MB&Qg&fVvu%A(p%G_4bQJGw&E)yJgLA`Z**`BDVPkZ-F^6IbR zQ`_C8LS;E@8mi$US!jANf{XIbBMHI$D-sDdF~J8~3sA3eTTB+jrW_yml`$#bm8iY| zBe)7$&O((r@3h4g?C%EJ=yH|jc2n@K)(C0zXb;haXix$~)O@n_q}Xc)eg_2*AQ*oiq8Ohz@%Iqp`0wa4Ct7fTPM z9D54)lwDt42tG>It&cH+yuL+dEk0cWV(W$#&8;OiP#Cjcq51p;v~NEMmBd_+iI2MM z4@id~kq~Y55J-tUz$Pl)9f#uuj?~K82>oPPHdqS0ZOqJWT&TU-WM7x#uZh9aicHPO z7tqx`^p@!5>$8ZMLcj{K`F<#E;8|hoY)Um6{wW;(RHw5WLhXv-m$ip0z2zu5Ja<^p zXar#Frmr7l9kG6}!oZUpj>nUur?tU=CX92%NVP9scXBe{N{F%UQ~;_sY`6_C2nTS-D-#IP&E z$r`eSxwShdNl{hKoxojX{p?ggw*EP)4HvlP+L`t3M|A$gSg7riX2XM-sIt%!2uPk0jjSTs?Oxi=zUC;J<%I~nZCWr|u7epHpf0Lk&nyFPrYUbOFu z`zy3dr!^vjrZxA(NjK23s?lyM(;ga=k>o}-^irbMr7PrPm|MVI=fC%wc9I z6iTfzzMcE!FkK|K3#18@lAy}i`!=nWv#bl%$i#3&MIzxU7#oO%VcY_l6n{(zi09be zPVfnHE!lqVtZr&@KWeZBA7~(YUF+I1U>JUcGXjA$sh`(c>y_5iFturyjz6)=<0bf05u$$avD*N+@tqPb)NWw~TXzqH+n)xFo_@Uu?#e6DEYWv*gyv|V;o_-vQ zgzoDp6SCU%-XoV!@{34odzX7aDK~2f#(! z4^zKap zQZo#N@M4qq*tQp0VM~HXo#@zc6<8OW^$Q)<|uoH_#ONW zDAG_6GAd_#OB^n>dOvhdRxS9+$9?Rla&|m?M4d^ThY?eahx3`^fHM2ffk&Q}RKe$g z^wRPMg}=7#JP8%8RiLX^t>=IMHN*)TBkucPlSz-}hN$;Dex9{F7yId;X|v{9arqO4 z>#uk77hIQmHek%*wD0Y!9dc6xZClod&?5jSI};Wfs>XC$IthRlHe{HGgZFgvkFV-# zs}@`@Wev23k&R8Nj1O9I3Yi>*x!!|A8klLr07!AbBdChT*T9-jp};!9)v2C=dhUOL z7FAPuF1$?yq73T^3@XPwH@bQ8@hjW}0SRt@@z0}wyoe7h{yDq=LU~QFhr+c+<{AKS zbe*|3==5yT-M;;-LnWckQp8rMDod=!Xh?D#w|& zW+o0H?L$n_FmdSXzhX6(e@<`VKrgphJ6es3EWF0w%$VoM)D5u<%&cR&KvRwrFKX)HJNfj@8i9wIQGDB1 zy;_+fqcI>WV7`$_rSJ(g@`jd+tY=m8Qo6hGCVQkvaBLbdm+7&}TGeb1^OPz~6AC*u z>A8QwSotos`R#Drq*eq*WP{gZ7xYK(&<-Gy13e4y5u`5FjiCg9Q3gvJNCfrD*@fEd z)kXfdO7_GbW5yV=J~#nYe1@ARs9&NRY|~wvFa!VRG$5Jj`?s=T-ow+=;N8x_97v}5 zgQn~JZ!)Izp8X}!X^wsdhU1cw693z$^S7eCzzizk zTr!*j=?@+}_`0Yx=Q8iD{NYRqPly8kWrkwKztPYB2d{BZLpXwyz*8u>+kq~PLpN~#wLfWQ~BaHQMx)dGM~nx6oNlWbjL`2mti_UH4_QV*sLA(UfV8g?5IFPg7}X& z^O$L3>maLVSMRo==%xkkD>{lY-$<+VFP2LcWa^$o(4-MKu{;_%g>+EC+{mjhEwNiBnC6DKc^@uod>$yg=QR3 z>Gdi3bi$Yd10$F)Vd$@Cw2p29u;WVWne05Bk%2!E+;S#yE7xt6HyslcrTb65YKYL9 zTN?j1`}`+weH0B0d)9T-s|2Q_8ac+eMaiq^$&H_23nR5+6#oq}=5-#W!;BV_@~`Db zAJ{1L4__R@Q0(11A_B8A9)%ImuFAcbo3g7$kn%EFZas!<$LYdGE`ab%fW{XGqBTw1 zNhEbWhKZzcA%zTlg~^wf=iu3Li|k$^?v5cJ_Wa|HKW;Y0}J ze5_YGN0nSu-vf?t991CE*-7Xt!b0?-z{Ewxi{xyie*g&l&zpfS;2|GW>YyXWEr?3& z#6RjWm+v!v+M>V?$k>Qn3RV)h2dq#U2R+$}ud2pb%pyL(rByY>owk!*HR zWLMFCBhbl_66x0ZMmesO?TT!IR%2|vw0uxbhsj$1g!CokF^DuHl?Z=BK&BXb2p@)= zKLayF@MlAd$vU*IZ1{tFy&EwBpp`lI-ty#g$33J&!KQ?~Q#|sQv49{5gIp+@xZjx0 zTP@JrB6tMD&OMr9;^S8N`{ofm85sVMuo9kBSp34Ely+x244wwhDWJHd1TXY{{1)gm zN>6u@r*!pyS6S-|yUrxo-N+EZvrweNjp#6$8_ATI-q16;VVcganznnj53)$ah=ofI zK^zf{DuAPDpH|e-Hl!%$AXfNk(%uIunz@m8W!9?*^%_yL+;*h5R0!p9=Ew zZx`ob-nbt8xIQmvYo9^!GbCX9<(P|NEY(!`0kiQ89#b&&x^!P+yJ>WM-BN-l4 z+Cl6U`1_L}ZPE2zG#y89cNM8lNujH_G}Zp(t3S(pVUqvtrLmI@S)VGQ*BtFGaw0&? z`JzvG5lw(n|HA*@hX=Tytp~ee=t*g_%q8_Qmskp&t}Y5D*0E6fPJDr2|8s@}O5rxI z!|4gUOSIm$f=e?l71$p^E*{qW0lssVRDKnIoza0ss$71E&g#sz9MN@R2`x;!Lg_=? z)PB!>Cc_n0lbSvW3;e6n51OqR z*F1%z^Umc#$-nrntt;m$;7S&lO_hQfrD%8`(>cWU#!ky~O~urUc5$jNy}7{=6SW!2 zDN_B-NPvi|rn7>$hL#feQKC8!h#E%90^&zL?^`W+91B)p{{wS}JdPC=6)kO#hZpn( z-=G0FnIT?!e=ZwFk(WNJ165U%t)F@A#jM!o+(p;4lbeh>WNyi94kx02AY3TKJC;f3 zfo48%16nE~d-oO->tGUPK3k;R7OeA1mC+^o#O{HmCy? zESLw`l4*%DZ!keLO;Mndbj<(X@#)+Sm;ElG@T~Tb5J4xor zLb^AmEX&I;{Ct6d%cC=0Qr9=`%6Q$a#EDlKnpW<;v5mqlpAO{y2b;s3b1J{c3t!EY$zfk1`U>K@p7<=r)fZA9HVI zW1>%XAi-f)VY8FKQTT_aE)->*nf$v35d-I$Id4#I2+RaLI_U4$u-*yk=|3MaiAQpn zINcVvFy6)E(lR8ylL9D{64d196p>C%pM7b;)kPq8XzwAp34C%E)P#JGDEm0&;QQg{FC!h-$OY1 zhz?JBWWcs&HU!pj3ENq+pV9ijKajkgeO+vm<;2AfcF>hG)e$&xiaAm!VQ zyv=&{o!6(dc)W?2Ux_#=6gss(O$=t`!U|*aT%W`5f6lNJabv^ue!_Z?w8e85n-_8~|Ilp)EBAI>W*0ivsT#$Nv^7V_w zx!))+BKpb#U|9~097%V0${ywA`Z?C(OS=OeXfivUSjzBi zaVGa1@;)4W^C;($*_h{<(LMo17;%t?r<4MlBg-@I+)<0)dtflu8VwjR*IwVMz=bmt ziw2ZWv?hDj{UL5Z5-!img;y7UHnM_1^w&jPuhu+O@B}6QVt;Uutx|b<&DtQrpNe}D z^~lmLud(ZL(MW0#M>ZUv4L+vwwC6l6ldz^$7{q@ObbF;7&r6ZgyX?=aouXmoJ2z;3 zjVc=IPb}cGz&(g-e7iV5l1)ZYWJyVD2Fa7H+=^IS21Il< zQ_qdez<@RWRx;GJK$F>lgh1eeNOqv~nZPEDwA@_nxJz?Oz90a={@SYtcLpv5)$1{j zV;rfRq#Nsy~QxI1ln z@SKNy3H86`%-zirGVIw9hh(LTmQWiSc0^R{aN{2IaY7P&Fqx_r{Y%rQ+qW-GE+LHUt zT%%1MoP7v72~2GrUMznE#pKZCh>p8sYVTZvZWJ7E;E8Q_0V({X)ks?i;IIu5VBLV^ zM>dD$Xnb45K8y<;awZKc=andK5jvuOU6fPtIL$6CXG)B~MS9PVYz{zT!*J6D*|L!Z z7TTFrwaGdJPW@Z%;9I>{0zTB_T=%DnxZ=U}GqLHCS z=cUz46K`*Lca3}Onk3n%T^D~HwU^q2tvg#WwbVp}08K1hD{up$&Z%4PG=KcS3YPdk zO+tQCLAI?2GbVS_#v1*4yV+Ie)~y;m-Xv#EjiaROlZP?}I4)~Ge%8A6Mss%$a2XG< zdSUqJtJv73AJ;&QT&tBS9&<%qfT{R^f5^0}D%TZ9jvaCjlDVy>w&e2y36#xz3gF3;cIV)Q9iuM=mWzpJGy)}WF;^n_DDq=C51TIbSZZT@N zHQsZj%_#->z@o>Aozneu^Yio0hE&9)>vK|;IK5a$&dC~hm`7}CUUj70W5AMCgw@S~T{=_w8{pb@6 zDMxXWK(2iD`5SsVHrzD(?DFDa(;{np2>Jf&kXr=zSwi!x0Ef#n!Y*z1s!<#)B#9q! zX`g}l?EFRhVZY=X7>X?h3|RaLfOq>?M~*Q}ouFqVoN}v1aS%-Vof+u6k1i$AZffBh zSnaiNj+i>s>%E@sdhJUV4t?}p7$;Hj_Tw1PMSJxx`QidNOHsWb zt%K!I$01mMcuq!kq3Kyj$t?3tUa6hk-qd-RT+QaGvj}WuZ_Rs`-L$YgXg1egX-s< zh3i9;vFlFvjBv4LkIJzD(@Bj!7RsT-ZSlQLSr^RiA7Z>ba4V+e*TA@N^!0$dM(~SVP+^?m~3C#Ox7!0RQx<5jaG^qg`(FEbX6?M723?m+>5rOt{@JXk*hcaJWuOw3SX$mr68^&ueSn zemMK1q4Vurs|bxM!SfmtXET?808!h=TouISk&MRJyS_>74e+>I)OYrnSxpBFLGbDD~}*L?JYG9>|o zSKLhI?YvEzE0shNaVOYZ8sCc$$jcOk4LCZ0hIkI>uds&i_?qsQwV(HQe!!#h6`$S~ zv6Ub!VPXq65SwZjYUKJMw}SJ|8#|EP#qzaHu+F@b$ zYU(=Kkc!zCkfOhvelXWgF=DFrd{!);c@;mBHpDItBrx#Z)*pL{ z8T|o?1oCa4o=IBqV1dPLy-Fq}W}z8aDDJh#NqqKyhD3wSw<7)T{qaK4apzoDltPf2 zI6J-lhIny%w?CQIzFySV!a=7S>~{T+Pz>KP-b`aI&4pV!-C7;+#(N_C?(bB;(|J4p zAHT^Ok(^Yiy8}^PhlRsUw0sgCKhu&;cPd&-t80_GA}{k2vC@8((QVOz{-68|dSsn% zE6(#V9i(n-Y8A5l^)^(C+!cZeExA^Q3Ll5g-+%Qm<4?1Y|KzJ@Rwr^(%p9wlHXWl{ z3B_vjpJ*D)>2}o>yW6%L-@-Vk93`vOJCBEJ;0)|>_*wrSse}(Y{+zIImmW;)cMl&s z+u2Zgf>?u*`NjQ<>PubQ8jK&j@txVDhw)CH^UFi0NrDQf`>fc4YK3RF-KhxW^NKn2p(+@@h_1Bi2|c^NcZ>H`4U>P zL~ZX>rs~1xc-3Fd2WL0Hzt722;q~Wx?3>32w^S-~y}-6#{FZxf!S!aJSQtjku>s3b zFVrl!x9iIsgF%Tz4}mzoX#;>d(R*^jv7Tk<;`iKauj0>85V#;djvh?^uEjwMl6qF_ zQi>oijLnjIk;mvp_Xx0unYH1uF-mhXNc&7+WzK1LRzT4=8pZ zl$BX7Itm-BafxVgz(sRUk^1#qQ-am9hNJGR{dxZYQMvZeWb*+<$hoRk8HLKHbS0Vu zRs8FiL>T~F!_zJB6V$pCdAwwp^#!XJJ~_~%m1v7!Lav~{)FQFt`?~R!%pBQ1nwhiF zMk1FrTAUctR2$4~B6PmlulmoKH{`IjT>Y@p_*wQ`M{DZMCJD*1o!!Te13a=)kY;fTqq;fkz&q5Rly??SWjObI2=FZsgzg2&2O)dKs^f@;%g zgDIze?JYb@aGmvQLXqz??9MgaIJ~H$C%A_F*^YyRgMd`i#lPS0=QHn;hJ^kX!_II_ z)vlrV^^s+VV}($l2=Ej;5e0AbW2->tsthAbJHrJdN2S0UO7E)&(Yx3o6pJ(c`ypHC z?_?$oE6Y(RiWhT2&?92s?MDP(QqDxQlJ$Rf2t>wX$vf{wV3$afXk3#laf+Z#0&;qk@#lBLO0 zK}48=q3E8=#>N{`W$8YFr`SQ`ttX5HtFHzJp=76=Ywgp!dQ1QFbk2Sfp2e!zS)fpzeQm;uAzux2@v3S|Jhbm=U zrTr_zTU@R-^hT`i?}0x~x{6KVaXMLb1#t|jmT%%dxpXVP^^Lc-ntbXI6klOGFk-p_ zmMQf-t`PI?HlC5$H**Jib}FnaE<0KntnP0IHgg_^j{cZ}z)8GIekfPsXv#=uW93l{ zLXZv++h`_^`ypb!>7qb%HLNy>>yl3pL|{tFpw3}BFNnxc6<})`b+?cmTx|Oi3Pm$~ zi;Ra{6^P-2Z%#4vE=Ry&vEsJXkB%*lzoM2^~7zg^qn0$}rV+rRVXyI%dA>Awu_@$YZY!rg6{Mkn~d6ZmM2o8#c1?TTu+Z6p7; zznDE%*zm`p1(MUr%~in`9t}87;lDUkmVINQzX7`qW?Tes`aZ|ftO#;g2$yg9SJ=vj z-&FSTD&@b16B4UM_dyn1mKcJg?jjzrNX;1o5x5EQ5Q1R&(e3|rLYSWdJbTVaBT|6( z5kN=&Gtt5H+#ZWj2LtIT?9u~g#Je^LhOML?M$3$=2!J9|%LuUH(ZDbH6{9Y_{D;|u zJMW%Glc46>_^xQJXhfeG<>l6k@P^SUP$|MJgHCxPn`DYXEe@(d8q-j`x9b535P)~o z2^4NVT}vDE-dQ#l5wO`gk2B4;Ip5v931;ZJ#=bQ>bQ`Xe9N|i`XEWxCEfR@{h?i&rw(K~Ov zrWmdTwhXG`@Llx%Yy2=08Z?GbX`%;y{bTR%_L_1u{(eX4FV=Ozkg_JWDF9LVuOw4; zcbR)9@OvA3|CkB`7KZi$x1`AI9Nb8U68HJ--+xG_exSCqp$3lPHM7`V8;%0x;NBFC zuW@DAJOye+#OceB8O|Zh3(904Sura68aopFq0t?k9B7iokrL_TgOZi3I>Ga}EqUh4 z!si*&-(>Tur=Zb_6g!>}U*+5RJ+47=69mIy@%Y3VGDw9j`@8*xpkrRE|INC_y0O2! zX8QoRuUb?>-+`WwDkS>QfJb?+M>)n_@DK9ySHqsc#wfwUHT4(mNF9Hfq8`_#oP7hy z+F2$zYH9{!U}0GwdPB(g6&M9bau3o%*!o2Dk|%BKWmw~jqQ3Ggcz`s7w}kbN<83@s zY)1_wc3SGCFUKkbaa*{p#8D71syBKf=97A%pk8XiH$i?QF7KiRD=}J|@|(~Q4hxCf zEQJRRmd&|}0Aq&cdrD2E?2M63!dSpt`TIGSCl_hoZoXH_*by5y!}3s*D}PuqriFRL zJJa<54_(Z3X@x%3COXW}g9}^-e1F_FySz4*wK?vmPkQx2@Vz7hz}iS61+kXrc8qBe za|j+0{51=ioJ{?&rlR7fvX3FD4v!oW(>WCJjt#4F;C}fhwE}X3IX$bK4k(1UA+}=H z!1B!|P?etmxi8K92t@K5Yu_fVSeFO`0;=Vq4<3foUARFo2*$vaR#E;z5EhH+v98$8 z8Sqb0)g1fho_U$u7k7Mq9iEZhD2zxebPV1uSghbbF8%Cv|6;xfGY0g>6sJENZx~;w zavd@t?KS4KwXl?Y9`v@IYc@Xz1lUl#G>;gxktgFNJyHMmW89k`JMv|oE7{=WXDOid zIDNKa7|dd^bcJm57HF9w+v(uBJ{NPTPV!mMKZi-BobW_5Y7duEK_t)c`5`i7Uo5WZ z%shsxDr8@{;~wVHXz@z8mibMZ9IUE)rIgsW6lJh5*lPlKR{D>Zj%59ysep=~8o`DV zOj5p95nnIk6`ga@kBf6I)6OY4m_x%WxGZwI1!oBG__V!UiFaN_X1v8Vr~9JWZSqO> zGPlNL-!kiT|84gwlHsOp5-jT)Ffn8=7+6Ywb@OfB!L`p5G?n9i--S!++}0*b%kDxo z0HE~qqj6UPaGlgL9a-;^691*f0ObLIiIi z_^1!1=G8E*EW$$hMRFoqU5v(%TEYu4qg8#%*}0y`O$e?KP!kI$ampzaPKiM^Fb;XNmYD(Qg=Y;rpTu#ql(cW+t{{jIkX8sy20uj zDsXj^x&a1z82IEzGPI#%Le5e%u!Ph_m^PQ_pYo=k!&DLW7bNp;o_nf}*BYaKd#S;2 zJw^&FDlM*)&|H6ucxAwx_nlg)#FE{>;%$3%ki#P#^6|?-vs-6P!XI8|5>5Itil_v*jESFm$NVd@|vHPdPblhsmDo zkwP!(xaS_T1|Y?-`2qg6A%iJgL$eIq@pPWJ4s5wlCT=9Lv*X&G2JD}yJw}$Lu`bcPreFacqc`?z!9X|(PdCr|ch=J=NAG?m{m)!2g@FbpiRI@b*=Wlcj??bTEj z&Ce3!^Y(1|Hu+YS**jXqr!u6A4RZ9hUDcwl0Amo!-n2r9Ufep31^)ob%kS{^8*V~LY218Gv(EU0`9q7W?a7s+1eRZt61jOGsRwgbm4BB#-BX>$j5c=N!4iUaf2de)+$ zVBjmDJ;F-`rvXiG>8ODr$$t={Bcd{P-DKk^5fILP#*2aTjD;Lm%q4#?=OI5VddXkL zGbah|6SK@W4mUm^hx#9dED8B3xON(RkOI4UW`HSSd3xOAxqWwDcKXjivK+p0;nUB; zEAH&Z91H|H2soL>yIT8ea`EJ8dzhBwj<*%h2E}YNc(DJDbIsJJ2tbz}oEK zGF4VWZ`fLjfEjeH8YiKImrf}*v};_ibQ=yywB1<-K&)UNCe%>5Wm9P(6ozMrXPzH( zOrqq}X*?~<7p60Zs^a{g~4|My*xz@|f0#SnK z72=fW-eHqw(9ONsep|Js7QPq|kC@BW>wewS$5 zHeBK)Olajbl7+JB-k>(c>C725QnmgIAN!$(hI(iR#|?=;jkpn%WE~A68xPL#=Wos( zKKVZf*)hRL_XZdk1MsH*8SPv-{IZbX%y9kScE^>&H*Lw^JA@o-5MsZw++3a4@EKrE zutLZUwEwijHeB_M4|6d~-fwAb9geE$=gpF^kIkn4t=vDADU7~_xY~%a7@5oaa-<2# ziH{Fi2e1YvXMI>bafL_>J^Q=70L|-sk8>%uUG(M5{{~NXD8w9n4e2A{{e!&OmKn4P zfEJ>6b4ge+qT@h*gP;!?hKNm$wD!YpDPdue2OPYv8|X87avjPb`d{;L{lSU(n` zNewp26?85aS2aE|S@LH3U?oe4d66PR<>{@uSo5c}M>NCAj)|K~&t646Nk8+|mA5zM zIhmCb0<~kCsPl#k`yg32(>Z-{Qs3!mJ(XG#HvL%qD;?`Xl#UAOT^NdViZa{}?i(yL z>RPjE|Dn4ge~07hwP@FjkLqzlh$+9!i&DMg^jMyIs z2PyWUZ`|m&)#4-%8WiGuXbu-tpc`30TZdA}9|>WP9vk#+NZJIlXoy*1NldSJRNIY! zwhNCdD{Zb@iCoSn?gV6Ha_&AvY!HeP9<~p7NAQ4RU9mSMMHQ=uS|l$`pLtgTuI!=s zV&NGv02?s}s7EF~5Fv!3p7DKb=!4MT;C=;nn1>)?YDi)OAr6v5$1tO&UUb#%*e#y8 z1{rh>iWcN~B9Fra(zgU855`c3gj#$^Gza)_gsG)^qu_i&?ðswp+BXyEWS;fT& z*c)PYiOY@~I3SUKdp_$u-{XEmke>`E&~2n{;kAIocTgG9S-|5r&76m+6(a<*MDGywRtT_?W z;Gx5Xye@W|zWfh?8+fW=36`{PWPNvF9L4^`kz2{!Il@*{}KQMsVptljA@4i&Jg+T)jKU$Gb4z*`Va;> zNtTCs@vwi4KAOduF!1Yg_X$h-wEq1=E7ly6P^d2w+-`DtP+Xe!*4QJ_o5$(wfMb`1 z__pM2SYL=482mSFj;4d(>{?f2lKSmc64`r(1H&r0l%x&F?ghEiI4m_e@+l<7h)Tpf zq$HrWci5ytl&VU`ix8!?6FQTKUF)pp+@kO?bC2jsLQnzS{df0MSP~&bo&w;E@2tJy zCg#F@iC^N0*$kKjPJu}2*9Gvrwr3kQ^qj3)gKu8uI@E^<82egd(S?yyTZ%g;>cckN z|7MB28Ii%OzT6(-Rx-l`8|xASJ8dqlp-2Lp(6#}waIDyKzm)mXh5l}~_wS@Hbtu3L zDXeWQ`?L9WpXw0VbsM;!))a;MFFyzjCg#Na!lxrYp3T@0>!hgWY25z#^HDlSxU3N_4%kBWZj`PIAJCjLriE;#94gxw zvZ`alGn<{XJBZof&xR@xCJ9zPk+hW5@3C5Z<);Q7Ig9=k%--ymAJyIQG-*Il%u$z>b`!yFI$ynx zFM-1Xau*>ay*s)4#LMB5+Ym)}R?gbp{u3ytBx~ZiNb38=KlztAFIPFh25wr#vLG-s zQqaIti`j|C%W+CIqKEnH?y!YEFdJpl)V~wG?u*aNC*={uZdORokA8CE<5%h`aQkX)p8Wk_7Tth4lnam}*pF*njH zqhdqp`G8eT&1sJmY%aw~*LN|BLQQzv_SBv~XkJ%44FO&e6opz2;I_|eFZXMLLYv z-Ah{>F`=IAtXd8v=rc$^)wr$PO&DyQt3dQc?4!+LTK{a?5&*`(-s-A_Y&tU8L^f_u~!>;I&+n~kq_}G#!0DWqRerk9Yi>3n(770hx zeYRRvF2KPITPGCCtp^pd;R|?j)OP?mXM!AM_X5FL8Njt{PU;UM15oSKH8q1oc&T*3 zD=v>jUcj1&+QQgh2QrAO&qb70*;o@l<`r|+DeiX*CKU@)4^L1sfSCl+9>V`Z;y3{)G8@7TvKlk+jkg&CuDi+n&j?O4WFJzTHr z5$hDK`^|nror@vYuqaaNdivlWFCUwmmC2jbo!bjq?WF{Qt&fOmEyZQG7i4%#imJdw z3cW7FzSyXhMJYYYH`YvJjlY|J?DE_~`O|LSy{^zgWF~=r zN3&h5CUW3=%S?ep;PczBJPq5P@?GhjWdkvSt(l#p=TTAi3VH|c)Ys7#3R|DKHR zf8-MYQg+;P_}A{LFJA`d9>ZHzG2MOoUX^cvWA>J`4u^87& zRGr;_QtlT#pW$SOGX3<})D;bd&bPM98XRQMkCN3O`!`U*$Czu#Cz4MAA=!0^FcPB> z+Ra`Afn!(HR$D$u7j6O+Ilf6iA=BPGRD7-RqY|^6=#)K&jp?tjT0*aDY!={G;gWWI zI@b60vk_Js0Yi-)ssd|@;pz$es?udlT{hC-U^>2sw=A+~lND)`E>T&*U3Kt2Y#wFy zNOXW*ERIEel$y=?N1MmfP$HyVKC!VtZQ&Zd+~I2x(cWhxc16Y5 zshHi__G}T;#UE|u?%Y=G9I-0F8wx|QlBtPS=KfQk%;B-yM}5;=lOyiYCbcJ}b?@dy zWJeIU2NO2;C5e*vW~LiVz4TT=fWk={M@%2TtK5AvA=7Zs|T*7%ZV4`|g7jDc%bNN!# zi{yW~=ahZ#B7@tsbtO+Ll3~cH`+oLDmO=%FKE$ni`b%zme%tiXtzF-z?bX2>2Pb6O zb3dH?_7ck~z7_e^ZEQ})X{I{HXTBE8Tg;jqPQlX^UrL{&c|y?7&q{^5%}KW|rz4_{ zsqAGK-?0GLStM2=&h}BRXtjfpljZ}#=mT5_2e864PDBPpoN6^+Z}8-O$CM6fhD9u7 z{m#d9rRX*?9K`S9oav*#V952UXkoqV*y@!dK@h@e~QjsION zvQNk3M$>Pnt33|K^d)*T#dphd;r znR`Nox|W*`Z40~Yrrb0{En7GEV5j9`Y@iw~nBm_>ZCtVtMKHd=XMm^N_-1<~rhB=0 zGId0J1F(dWl3AyZU5AG6h4+aNXBzgsy>h7!S9R3&CzyNWW)O)zj&LVsZ5THUK8AI` z%vu!MYk!_OvfSDTS&x{%fwN~IMsQSt6<@EgECpgV2>o?E<>~nG^evn3zq_^J$xfE( zXMuJ11>?Qm4j1IZ)07(QfU+Gl349T>v_s(>*(nLfp8E56(^Wf{e!7Ofl@&fk<#C;_ z15ut{M!yIK+fZ>L;HH7U5A?u<%nhf~zr2fCqQwK*IV_KF)7HuwlZqDR=yH1&X^T@}?_#k(vGylq-G?cfY z$>ofBtX#WlaAi<^jp~nG-CWFP*U_&)Q%t%!96;wj?K-(_phl2zH;@#buwI$=^cdpu z|F+64ppBc#S?T@i1nQide(0k1Uys@Y?{jqeyY}BP@AskRB^xE#>r`d3yOSg-B-2ZF zJQ|(B=mPIM6G~_XwCK*=_+7n0O5eYP;I90N0KCGzEi|x3&`(V_N&dp-9>i2MIfRoi zQASK2=E&NYiM#7XVsS%ob?#=jY(OjvTGkdQtwc+ir#1x1?Z$LPpncr!+T<-Vp8Fg5 z?C;vxO!>zR6YaZG+6V3!8!+#Ms(QgLT*|C4E7=j+d=?efDf z6eJXfKkgLQriUDu9$>_yEfU1^cHoWNg}=);zm$31e|pJ(5A*f!ijh3}7tB#7-hcY^ zN3LsY7y%&mR4paV13H&>|NiOyJDq(*_rGW40&p$7VuJE zAf0Z1v@T7_$vkern96Rvpnr(#Z<~#og+(yLR=no;(e*FNG09Jx$Ly9WvN_B&_*BX< zWi%!ydQ|HY|2s$OQ>v%>TfP6PRvs?)I}>E4qb;RV&(J9pLVXw{HIQPa@lD6ruYT7% zu_Y>#I=il!{=l^7vR0o7d!W?S>kFzhlZa=g(b_$t3+fCYcEe?1PQ5kJG1Z5aF($pk zlON7v(~z)1@|!3HtgpSf_cYfPo3|&&yNeP0^?avu6=T5~%>T)GIILFAAxV^Sy>)M7*(__6jECG@3&q^ zCs0&kYr$rviIkt-t6+er#mKtTmzU$;!WIPJL-1%|z1WVQG)=@-`@gJQc^LDuEK$&a zo}fA*>4WxDEhioy!)Oy%=4T_1wkv-8ekw;dZIn(6ZTdI!1vBl`z?bA-vB@i`D{1Q?9jpLf|2{`J-<~U&TIo1r$DoiakpV;Y3gIhW?+!`y1^v{W z46(mvYS;8puzURGZHy>6qE+7|K6s%Sco-X*mtMyg)9+_9jJJl5SoLN7OYhiCr@1dI?TYy#L*g#Y+dHq}CqX7X1ozzF z12uQ$bCUzw+)7>?7@&o(+_ll&M1^;q2j`^l z>BonCi}aalSnJw8eF`T-EBrVB1K*<9aoM+>y^m?c2ou4X?jj~oT@_N1c~iMLK!p6HqC>N0=w{Fq@mAc=oL z6Ro$qb%yW$yL(MlG13)Q%v{>vqCW6x*E&D~2h$A$_CoU};l`Lc0b^upP0Qio#Pw*C zZ+_r}7Q_0-sdt{~=BKsYcd{3eoiWBa!mG2KsTxcTp}w|Xh>?tK7I`KV9@Q*edE;K8 zw~jz!kWf6Y={Dn6YLo24DYG>Hx<{@)x2JCCIf>a{8snY0P0!UNqPP3lV-4fg2N=bOJqe(q;#QEk-*k81D|q~kkO<%~x<&7d!~)`F9Urd{@enJX zC|+WW(g-j*pZ)eS5%Fks6%{(vhe;0o4$lKB$=AWFn=E@?^|9~e&@6BUk`+DKfyJyD zOtAf&ZMPkA+{D|TKSwh1^2h{$$PJyNB)LRFSFNqByIqn3P2e-jOiD_6_h);;=F=#X zpiF~HlOeE-G%w-AW=ZlHq$=hvyEr+~Q2;b@j=FUGtKBs`^gA!lweSl^mz?SH@9XPJ zz73X>cQ1==HNmRA_WrheHvjK@K8uuXAutfurx$82RQ}$&xI9y(iA5t=aXFR`A^5E1Zk)a=;@}8+ajW&(W`|kHSzp9Y{S+$qA`QPL6Hl z^W%4o0hKwqcVEmFXaO*4!e-I6N{CLVX`_-HpKF*FE8N)nW;Y)6)m1iei?MT4_B2bG z@!4~#-gD0RVaNO7zi|g@!JS)Lq8q7m)Fu(iX7wb~MO$57 z_nEGYdR*3fR+2zpF_Tz9k$5&`LV1>Ws7&>%5GEQWA2?Avnd zq|_$PyX&U9-4Kw`h~Q=d#{f@-O0+o*I?ld(`F}7Pz;zJwr@R6_M0{a2wrN}xW(-v1 zx`Rzc-<=gIg6)owD~$Uw4|#X;X1QP37KATv&v#@`rhXv~2Cf~4JFRc$?kz14gN*p(tmQe2X zn8YJeNg=0plnC!m(MpT*=C^#Y#Ahtxnt4&r{_h_%l|-2r1@Yp5RzkJq`|2kN-!n#I^3Ro>k( z^>-j3`uK|dyMNHiV_wFNPAsUYAGvU$^sYdbU)V|@tiU6zhtjiWsHrVe^UzKCFYAJ8 zMK_#AVDh^c4WM;$v^U3XUt+f?J2&=W7qDp(+4K1i9*Aex8%H8NA@Zl=Xz)!?_)q%e z8))X9$8~}=apLTl*7w5ya!bD!@b0P1(rIjCEyNMs#k3G3wg2|84?*c59Dz zv<1HNYk@}>eIKRZfkvrhWEl%M!2hvy-QiTX|Nj^%rIb>XC($vI3Z*C`E9X#=%+f?c z$|yxvLqgU;BB3H2A|sKEimXCO3fUus?Cjs`?)$s0{&=3}svexr=f2Sj|BI3~=eG(ly9@Dj+jk7TeQ!y#5tB`*69?dao3n006 zMOuAwnJnG-vtHSTch?kB8`>t!;}7u2VIVGzG23KtP4Cl(-Qxx;#>2#atos+ik{Ymj zGQ#bfWmLKwkFoyNKLU*1+7SKMKjvy|dI_v=yya`i(0!{2BtANFv%YxL!hhK8knB~J?8E(F0DMeq)~p#b=>=VvSmC~Z=;h1Tua7<59oAU~B%KKQQk2+|INWoWlq-3{ z5OTr;!DOM!C5-eYyptr1ip0z!T5Qm>;gPJ3;r&mQJ)>v9_)%P{=TM9geP*Z{;8}CU zm4T{gmgNyd7 z(h#Cjl(AwBqyJ(R9>d;{qUot>j{rcwDs%2cHbhQ-h}Nfn@2N?qD*Tiv;@~o+{qI?f z>fGu1uwo-Wv#LB0-m*IDI{m;9b5=(tjgQ8v-Thy1O0de$sMej8cN>L;VCLXWFJ3Si z4qUCCuXw0oD9%lX>1Qk*JR@0mGGqDtpJ#eofT6rp;^gOuuM}Hw+4o`&QL`;v5YSXJzn zD1E5Dsz&?Z=WcOcJ%MFzqTx}LiZ`-67e+qlFcq#<$;|ksjRqSjh$`%f7d~?C;4iVb zX$7hIkbz43HfbrlVUmg$Icf>(06;#iBP943s$TH2B!fcq=q1_&g!&0p5yX>G+fC9D zfvcaFNd(6LzRsJJ1pNH@vu|#2@M36qxMi?0Fgq}Nii(Qsh3^DWtM}jaJNWFC{u?gw zp}?_UeqSNq-bqQ^Z|c4S{R!S!Uo$q0K5wb5eOi!k!DbT#IByXrX)wG<>GJ2Nv9S~+ zRrQU-#E=ki0gx4Bvyez40KWs$8TnVQU@`O;mTS3&nBc#z1(Gsag#oj9Fy$kB|LC)W zI6|v`41#kd#fay9Z98wOoaEd#h>al&=8*+2*In@j|<Tib4DsnQ~ecFnoQd0hqm_BG5c6pw>=?H^M&hLy$j<0DXg9<K5hmmb8ym-u4h~j%0P6UaqzHvO98zn*# ze+zvl(wG~65I%r&<~zu6mAGeO3JqT+?_4$nAU}IIFQ-DJZrzo0e1VMDOg~ z`N(`&RwDOGJJx%xt4_MS_xabevoY4v@+W1EKgZA8;5FYrHhp(HjG+ws{X|H?dAMUyI0Xl(9R(H^x2&&tQ=ByP!m^XVKjk^&YM^ZO1dXW(? zo~Qk4FEcsy-PW`>khpV!;)X?_9TtF(deh{|13p#RXCoS-BEII!oABf%EagtZVOm?f z*rj#blXpC90{~_BNw%KkC}4t@bNbB(jj}&*70^@4m-66Zs-!D)HDospk~Cy&aEmB* zbK~{N`<)d*$-%Ag?9CjcWke9G7x!q(-hKOqA+c$F-Jgp5hL3vLU3mrAG*|(W{CYKa zLp|#UXq9DaKBW3V10J6|` z!Rs42q^WeJ3f@u_f*Z)bM)@fT%yTQShU^k#F{G&1Fu%HFZuI0YpLgZZb)!>r~ zl|6dtR&~Ai{Pge18B&Pa1Z+Q&b2Or1rhWKYVOSH6L}ad>1f{YwLy12}4rSv=6$s-& zlj9ixWb)zheMfX&qg>5eA}e}3emDH*B!?bV*<8Q!a3F>;kG3Fj?P^a-YXpr-@I6z< zPqLOxJ+A)`duX8|hqVy7&KXO@W2(ciMv06~eDMt1qXgsP^S1 zyV1Y=+N0{6Gh6B2(98V3newGrsixsWy^A*gWQg0&h{Fb%Pb)MVI)JO|v6Ne!uk4^6 zVO-A$M3%?%O1B`x!}JHg7QQJ5_w>lDJIK+eZSlx7-0Wajh(2HN_u$SWsJ8>s0|^JB zTAq9shs)!G=oYc|-{BvP*%ar>!0FG2&cEKdvU9WP$oQf8w4vjv(tXLcbCa?yBSlG)%K1;i zW9YEB%UBk&oJNW?Qpwk2%Lpye^ElL-TsX1-?KT0))T#}qY%vTRGE}$xm2aJI&8yr~FjR*WzgeKB+HKJB z8mI?6(UG;HX?MYKz+U3b^>{lkd>ngQ>wfFUE_tQUx#n5LJG<=tx83_vk3`3im!SThqgrmWP^sl7^>9 zeEW7ob~9l0>g(%lrzPAR6j;O?|MS_my|jaFu+f12J6YlI1wVF!O)GVa|J%B%Z>z{i zQ^#)S<_e{tQ1dH?B4$KN83P%oWImo~(R6Mu>)2MPdBHo3d)ypb?P5|2E1d3mwC5Aq z(_mj9!8M>&4geM)iPgBziK9Pqbmuz$V88Fdm9^H7m4_U*gkgDr-Dt32<|6D$3gcgo zT1TLlf)|dbmq(3^5^fgEY}Vw^j_W+OTX0K!;l}O_PfeFTcU8Z?k$8rI%|GH5|8EKV zA9x5S@|L^16SxGlJ0{(0G8LasbRd=Gzuv1#QQub-vKeMVX+ke`{mrZwI>lHlrN=@7CPR zB)68&81_{2qNOixfFu|@zR4^WJ~jb{6BnOc%l|J64@P@$o^(^+@ZYUMsI`$?g86Hy zGKBQLv5ZcR#wWhsjhmA;aY|SjvB$1a0%U&r8uR(zuVQ>$Or-{lTi@2yXup7{iQ6~YUyyDbeh!gPSuvh@~ggtY+)2L z8o%6PW&`)eFi=%>SVK>%-OE;Q{KG)S${CE><-gA!zDYeW{%xP4GtEYLp(mGqUC7|V ztQhB3`ipY=w)8Vje$7r>434wUNIVa55xL*Q?dJU)p6ZluggzO1~>xtahi|58+7(HI7RA=>Y_Ri)uW5&BeSwS|zoITeo;NF6fGn;K0JK$0=l7sxc`e5ci_^w8R=XZ9j%W3` z(W?KY?8Q}yOEgK{GisHBbdCtyVy$cX+gK80Uf>kQsD|gCoaIXZYSl%*Z_}-m+I7;f z%q)+w#P6TIcRi2SnT`u;9#6TWTvSUvrtYq~sLj~(ds&#gOWgx~N^hMSL#jQ!^)G8K zr-WO}=zo?QH&29TAMU<&Egu(&I|e$uEwto$JTSy!e5zf_R6J)9RW z&X)MP*FW5QMFL+wf{~>==hi1O`&?Tuzw#)U*>>htqt5jVyu+i+c+Y0vOSe9`o8&sg zf6%kV5Z1c&)YMWO%m5uA|p33fQf%$QbL zEN<{da(e5|n5lai2f5Gv^y4Hk<^^N%JC@Urqi(cpX+`zo<~=)*asu!erZ0k!#`G(I zy+HgxuO~7=j|9K+O=e*m68pE&cp*+4%tV=}TfoZl!& zFNdd%vv2U>XQ+Q!DiJR9m~Fq;&yW`kx1Q_Mj~Ht@*=9aY?d84!tFn ze1xca{8%Me7dzXlCI{`ctC-#==|`d4hDCKFOh2H)*kV7KBa|y=_`?R|e(jDe=z5PF z4QY6Q4n3GY-B|YOaOxGu{5?Sy4npDUlXm!>NVQ#l`Qdam7K+65ubnP`rE0R1vdm6K zm^xw31R*5fST$bc>Cu9v6h9g=R%VJ?!!yftSReL@NE@5y`K9(txwl^aQ?@yS{L2g@NJQ`=sg0j zcExNvRUqI2p9+NnEf6U&i=D<}n|u2ovlUwx*w!Y)2B0;G>84*VbvH`cm?{TLUxtK% zy?jy-Lu)UMtKDIp>@!Rt=D?-|@;-BGmtJg}(_$z8GjTxNCU=QPx?XlFq z9$XaLcW^L4U)Fx#1wZRegNy6-3t0Zx!BBGz45|;d z(YR^=cjGrBv(VM5bGJhb_9d>u5en7qA@gtCcAU3 zaT%GsY_L2*O=h_{9taY4d-EnMR=)h|agYb0yfUA>CD~LwI=}%TfSic#{dtmij7S*e zxzq_#B#mEe>fbBkaedp`Wh9y#W(inct@qEE747!`;oxC-@(3(uFd+CQkf{*cg2gAr zXSWe_)mZT3!rvX|&g^j-( zUvb0w(Azr%Wtruwe+R$HIc2(+pSy#~NX6N7TsoQ-EA8BPc71UWp>L)5Qd{?eEd@2Y z-a=cn_IQL8QV+pgAAgcXx%2)EU@46A zdLEd|Gr zF=KjE-@rq?BTM!l+BMGW)LDEupfFn8{5YuhE#GJlu$!rj$gU&6yH;?e<86Ki3Y^e; z@G9YGOdPtm5hn{|?b~37ZNApAoRSb~MBSa}E&`8{*OxC}qUKzHRg4aD^ZJ1hamrIn z4s|)zze3%rq@IKef`R}LPt;zxxi=wJgMcNC2Tn1|ZZOPq@58J|(yn79cE?`L2&ryx z6Wx6v-?y&I!RkZ)juB>BHg#2t5wGfYz}YX5bwj3Z^S^(*mG8;geCy0AXvQQ8fix&4b7I-62@>0m1q%k^@Ju>`+lSx&}r?;Doj0@Gz zoDm}Vp>SdvB^fT~%LzJ7$Sz*SDiCCHMUOn?psivFe#jo9^l_$vg zA47zAc2(*yO@mJEM(Z)7XNA&=KdV1;ILpSRxfXVqQp_O&5K z`rP#P5C3etll#4H`3o-cXIk-Rg|)Qk}bCNrwnT=;7}|>E$jIc|bCK9)0yZkT99#Xu2p~f z`HgK^{jE>0E9$22KdQi5*adsD21% z%=2HNfs{NB*g!TCE(_&`&~>crXD`04zHy%A&0R z2rE<|;3=gb;s?!!njbR+03cN)ulv|u-3)Vlpd_Ij9qcP0E@Lt!Ah|>EG%KR`>-25E zlHbf`xCgqA-%YtY`{w``^I!l2_fFt>DY)2R0bh}LND*KcP|;8qqHRRr9#ITD6Q)98 z!9@xL)+}9az2Wxkr_b*ZG>me+>L0{~5?Xg6t!D3ux(7G>xDk`|(`r=|;sQnAwfzYi zYa@G5wa2_8NkT^wk349Y@T(^IE|(MSp;Vi#ESz12)x;gWJ#e5WX?Z6kPfx?8b_oEQ zaHSLH7_;1AOC7!{!rHI6wgLVVHyK=y8|V@)v?Y`TN%Q?f%Vo-`xRYTR*Wabj|5=#NN4<6Un*Kv@6A**I z?Fz2*=f_{1tPDPVQ*4qJ^}<3=#KfrOY9k^LLeSRSDXFc{d>KMjfn7!Tg6C28nC9lU z9u5K)?mWD@NT6C}TeL-X<@1ZbGpWzyPU;z`9~Y+hi|BPbm2}wS)`f}yop>*oOZ3tH z{PNkHt>!=*6f0L?cx34~+@nR7OSe5J=i26cm_GA_`j8qoA{qWjcjID4#Fvd*%9V4s z&%|6}jjEJMG|INW{&8tXu2s|i6HPEN`w9mUCpPk`Q69JmMjN(_JY+ObhzbDN{v@0O zoD<6`Sv(LWm{W8bv!xMCLec$ZO985=%f2D41U(ZUBZJEOPn@FOb@wQ}$A7C5Ws2nR z$}&L~Ha$cXNpC&2HvgZJzpJ9Gq2Uv4H5(KE078Kq^732+lDjrJ8kA1@W(-iy@htc;i6Fh zbVnfvN`PzWzC}{bWABX>E(;r4{vIftXu8pgbBoO#h`kwH-I}bs?*>UQ05#sc^AKNH8Ki+MyY*OIA`lRbiG9l2bdD#wvgz^Wj)ig z9&}vGRMk~dKiwK$INQbFxOh1q-wLUMMYuj`8?l|m3j{~#aP8|kltIm+K313U>1Web zXEBi07vo*C1|g1C`pQ@jp)*6P$d94#i<2gvlvJWNYHReTb4PjE;@fG=Y|o>H>iq0g zK98t-a;hEXkez-vmPUQ@AwWGOT3@(r^Va1VwpQh}3p%Vvm;!PfGEJsDhp0gqbbzHY zv&Bm9#qqzNI3&6nV*3MiaWQ{8mnDYJRBm8PY7d!-6T3*u4%TI8Ne2W*7oDAPxv70= zp!Sjx!$cqkFIm+Yx74tc`J&ry<(9GjSnSN@tbh$0lP)vBytVy3a0(*eB3bx2B5YnwE@vk=n2I>lQ;>D&rQ&)MdmVX2(G{xh1hBRPJ`_Zkd`DJTtmqL1t}|0 zRqI7Hg-o2J27dd-fzt_6Y^V|i(4SuYBW7M-VY(XkA7aaMgnRY^JelK|uV_-5$VV9` zmLq(YzOER>VQTMrx|QB$vN7 z$Os17(*IAdn7P-e^dGSQRuX{%G`j$}e!EfObRGYzsg{Mg76R@np69WVBB`^tkKN!h8qCG^l%+P=t?i362>l3tRW+mh^_gjHXBWfQtT z<-5?OAVXx6j`_P%nxeljm_bgu0=)Uy+M+JI9rH7cMo!4krLKOml#-ED&bVTQNg`;Yk ze#fxz=aS(N>iSnZgm%_KruN}m-|#hr(lqbcy9xfsUP<~5i}xHZ>gp7I(`AnA4v?_ zic=`y0x9`DwxL|}9QRYjBf+0;2{~MQE@$7) zjvE8~=$AJ)rlxcejExxA{hOp(uXJ8&>SY{8`#}j9OL8b8420|M?OmrgtwV(;l5s1P zp1UZ|{HUJZwn>WbV2sj#5WtYodVm7MBuS#jzet$eS4bb`;=D0V81TP&g)@1XTBqr_ zmr1lvkNI&+UqG7J;tYPOku~7Mdo?zW`GtR&>r(xEhypOK;DYuyICySN@4zknS}7x+ z-71C@Xe4|oj0!Q1oTFYPf_%_VylQ-YcL_t$){|^kwlF%^v6rFG zxE+->GyJ{6@$R=Drdm>*Ntaud1Ei~u96RA(-cqtCBB}MDOSKbn(A6_h`6I~3lW>?`V{1=l-y0A$7 zd}qe%;UVZWE;~6fTS6bJnwant=LW<=U9+wjv$Zr3pBpw%`!8H^6CaoLbc*Ko<1Kjg zFm(}k&9(eymdPvN^FVB4deXTsyr=#_pHH&u?V0^6mwMrs!^NkWnT|CBKpdB$8R0*@ zn?w;uUT1%>eY4o*1a>94XCv6-4@hk;lk1S+zg>=g-zr+l8JO8p6UxU3=X{%lVRCx2f-EtYdryJ{vi3RIy|(n0;~SEwjx#lRK~D z_{5wtkoNOpeUK?7gSJkhB+f!dXC;enagc(N!@(cQ6GjaP#!R@=#E{sb^qFBTDj!W< z=#&nnMxM+UG0@`*PH+im%rcg=HsN2ZQ}ZmT`Yof9HXciTjI|RYgbY)MeR?8dfzPR1 z#zSo9bwt+l-eWZFva>&nJnxFZj{-^1b8Q`G%)%G30$2(Kp#`SjEb-c&@bheTEJV0C z^qjD`sG(ow^_6}SD;4w7P3Y~Xz8A9tkZhxlV8HXjO*a!k5p1xFA^t-x$u3+JOyHQo8@Z-9~f#gpzZ*lBP;!#*qQBBxU89j(of z2#-7%u(*+NTc|OZovTsAWbytjnTf|b_yZgaj! zf8yWqSgaM2R;O{ZVov_ROOk6Vh0jkt+LZpm-t2m=sITj(bNNR~5d6r+(=S{K3pttz zNqppa2mikmPs~fO#`<=OUCe3YAWfxSHrk7})GPmF8qVFQ{|cqE8v{S9)k1;a>|ELX( zUR;x)>WH@#dj2`X%U_Q#?z*IEYrBoO1XzX=T!V@_-T-Z7NxRhAu8Oh)bhmGp3mZl= z@)?jO9hNw(2tabC zRJY5qD*FVB5MIuBjiCFxE(SLCIOUwWomE}_5IHJwW%9Y)AY)gBG-)ECmbq(0PK)PY zK+^o3FfGx;gV#QqmuN7PzTe3@P$8C{wWh++uV?Y3j>N|t#hb+snmNR6AG7;>#Uq$q zIcL6M+O7VU`9t70jRWv2)tiSbzdUlWwVkL|q>;Qm-hg^Tu-PR0G4p;t#-O?uvX3@j zA5z4J^%SKM0QbTy1tmvJ%zc1lB?^eTha+Ju9e@O7YT52F?;Am{p?QKviHP}$#17G5 zSPRws5tI%qGqElXW-d(qW?-K}TH>4TOxRqGo~U*RreFX-Z!QTI*=7FPeP3?CdrbKp zk9@K*k^z8$`Q>qZe94PqzF(`cF@W9BGAWxWUDo#a6O!9sn3ppgvlW| z(Bt*h)Nbi%Y&Xr3(v~fr8JsV=zJ0SFRg9qOk6f7up0f5SEkEQw~<}l(6wj12bDk-;J z#dx#HUQOeEmdXe{H|l(lTyTY_x-eok0zqH$wjXZikdr+F$rnr;i04|bu`c|~%(Ppr zM|9-@+KZT!JL049aud+VK)w(XB0?8UEu9OhTWm40&Ne2)m&z-QBIz!bV6M=fVCq1p z{3hEwrU5-+O*)E6G!5RF>iMAJ&HN9w;&C7 z;Np~?9%v-4F8G|+Vw(GP^+zVl92;xwo((o2m`U}+jHynV=(kszBq@^O3C#O^Xc-Ss z1o+5=z`&0y%~(O`4Iv9&crNqF>460_lM}(18AP({qTYQd^75%mHtJ9loL))lgvO)w zOS##nHZo2mw&s5zGqq$%c)9saJiL%Y<_;o7HKX}Dy!4CJ-)zGzLux&IdAD-3Sh1#sB;Oey;!h_g|lJgyWA<~(KUtWm$v6<^!WY%>yU07Ff=Pq$P(ZNA$s?aRdR)ePw3lUx%$`i^J^^ z#9)vEh)nCFKY7_WrvFERwVKC7&y9>YkOXm@=&SZY;RdBHBpXTow7o1fD`lYH5p_!q z#Y(;B-Nyrre!ZV;Q5DyOg5OrSeTn1^EaeS8YHXaiglS4O+^)@Mr{yM+yp?e<*h%V~ zefdFgx?S+fGaJ_$$WecoEB_6QJ0`{VRo^<)cN<-u-nGt00Zu{f491hD9Xy5#?o?x1 zcJbNtl%lIvA)W4J_tscxhDwMtt_fs9r$GAzk{5IOyQ=tYh_Ws<>7KQdpZ^*DJaDFX zG*It)M5cyn*g|HSjFbsaph7}tT)^!OoJx$;h=Z4^_!q)|oZ{dDYxSRD^7uVT`yO9? zGG?@nPGvNwB_`@lZJ(M(h1aVhXsT_RMZ!&4u|Pwu*!t|@#V-e~M_+=9 zR@0t8?l=CCo|`_efld*wL!b*-jR2G3wFFglXfW(!`je&JkL#u-d6`$yiXqGqXW>U( z9HvVRe~_z@x53W$ys%2qn?+1Vn((j8$8n1oaf=L8^-VvY6t_M7(e_E*J*F^y&`zG= zLhZ=e#*pT^mhgop5f~?PFOGN8q~O`R<#O?V+uXIz9v*z9P@r&tAr)%9SNX&LX8+%&x@kab3a13DrG2;TSQIvumZmoe1&m?!4f?2E}o|Gr3)C z>`%===w%P-cw#*n#SI&W-i)pw3lpNDdwvJPux$HlC--8ui^m0ppNsYR(<5&b=pqph z(c@2lexz1guGm641lCH(25R-O3k_M6gv?)QpMTIYg< z_F8?R3Mjeq;Y(0xIU#*|(~f^0aMnvFaS}sc38VxJ8`eKk|2#Pp<{--BLlh0@d9%nr znPz=!&#;WZPrzb~n@&;^C$O>Opq-AYSjTfPrS*XDy9>vep$r!3YIWNz--)x-Q5E3yU6T%lzGfxJ5A)gwzl8WqxJt{{DH(jIa&Q^-=2O> zC#WW&aeN&$5pLR9NBAT6*}p7@s$hLf*|>{q5s74hC>DRh0Uyv3GO|I=X6p3Ag5t9C zy@P*vfiH8Tp4ZlGU$Rd1r8(o8C#Fmp3oXOr8UD2@z@>n^#U0TrM7pY$)m0cN*M~^6 zu^qt4H)}}Dw;;Dm(57xfAvx&w=sIX4y@sBR=F#1~?O=jdquVd7YYuA54$HCsA{Crv z0NgR1&(9Eh_^IhH;Xu+4=bd0Xh7@sDik7x^wWE$_p!?WUqKe%$VIMmg{dvGCCgCK% zl$6xJYnxNT01DAJC(|n4_4W215o!T$iaQ1=+yJF1l=!OlPkC937>O7K*UQiv>f}~E zx#?4UyUyC6BI2}E;>9eJ2$A*v%o^v0Ioh2gi=K*UP|v8{Jj5`XmbjZc67>BPGc#^r zhf&e1dD%K;nFo(}IdRuTVJ*JR(0TVmjNWP|oa}KbARezrhXHO2n#!@C-<9anN$u^! z!fgjCqx26S5fPaw8ujYiDetZ?RzBSE{e@!09*+IBJ5;+(%enqDVWE2{RW$8bE4pb) z+`t9+nN!?|md?5K8j5W;^#z`47Z;aZt2Nlx2?Dv@d+NO9B2Tl&0ve2e_k680f z`u{2EB@*zkfM>DNhf={Pjm+1G2t(${FjVO8Ft|ekA+gWT{9=KUHVK5m&2QS=C4#KL z?)54H`<%FtCNOZ-O%eIw38ANYSh189+B=eN0bgZ0LKa%QFn~X&GMAFfNlG1hX zS@RRo3r1(Lfbk)h+GVJun`J?azOXyEAZSc@Oyxyp^P1~vEAKhmGlBVvB35tCP$GV$FvziI$=bJ_~0^t zJzs;27A7t&{Hs5J0_4_Ue?&W=eN~x=;vS{RT*rceOwN$

Xn_Q-6yVD|r&%0g+-7 zql;_jX2G|63Wk?c@(XPc1KaOB_?U&w&CKq~ljWv0M5L1rHlA=_03dJ_Ms<&ZA>C0q z5}U^L1d*Fw=fd=iLp$AcRdsouR#`qy!$;d!0f zMzQl7Hbuq8KEy*;p!o?cd=?eA z^`xrB_4$5NHN5YLqSC#OA`^a5Luf&rAy@%|%Z5Y!j>S^=+uWC6r^8+0{@ zB?AM!?$f>R8!VLWyGvekmFw0wqU-sU-j|RMkgd@chCCbr4fu7X%I-JSIii2xX12DZ z;*NqyFjM&_F>EDKW?XGg{E|uyR=efOjJl=}fM@aoaxOrP0i4s~L`8(dNi`xZfUh*U zeZy4itTSwQvDp54F}{uBjUa~t+KNv@SNj-5*29t`g(BgZ1x z30P5gwmeoaesNmmc`P_I2EQXu-XzQa!4X5@y?TJt#ccO zISZ&ham)kRpQ_J?_?4W+?~b&-LZw|>P3K+3DK=qrY-POay&uMUvg%K6u`i7|?Z`#@ zOVN$cre346s5U;T?1HJMfScMGcZ|+_JyyCi+~wXk73M=kK%Mi5@1yB_p~Z)PtYO@a zr7lW(BK&#FrB9(_haT5!E$2@2*O%>lkJ#`=OT$pytMIt4&c^7NH1P@`1iEmJ zo7IoH~YVQ@T}W@cuE{6`=nuUel*YF==}f|@jsnc2IBP?R9UVGYSt8l9PwXL~q~ z=Q^h1LsC-GTi_{~v=`7$z!56ZGmTDWyxj?(XD(d6dbI=0IqVk|?pTI1Mtn&z9!_=e zmu$bbMF|^R>%F}9l1POg?}zc>H5*<3sLVn^Xyh9K=z7vdZSHTWasY9?%a>my2@K>P zhilZhms@#=G`mfn_*eA;WKwDDF*org%%wWwbZ$pUktU#45a73wA(Qz{+2`Ni@jMVD z%#{3(`I3K#>CykPf!P&KeY!;6SCne)>q)o7G|$CxL-yVa0CwPSv#KpF>^|Ns_zVwk z8y?pqAzTzNUhX$wq-rBpd#v<#-c(yIL%jMHJzU>Nd_ZZ;9V~iCxk=)BY$un(96h3; zp-1r)U3o&na*XPgWoCb(TZ8^^{WcSsvfxhNEEnm~yA#Fuo%%{#N9&CqZT5L8_LFL_ zk)g#At-UoypCx#u(BslgE)?cjA)gh4-qc!}WUtSzR(sYG(f1 zu=Cu(=G{0B@4@(l%K}db+pkZ-dr>(0ErW1mcpje$y`Y`sUAK<=ymIxLDOyH!^hOf# z09xHG6^6K)FJD+=ucp9pLP;DJMz%~$$L=-%pTYu#31_@aRe~pZEWx6zxp8H0Pk#wV z$Mm(O#D}@j<=5jk_tTK`;kq!>Qo1nXvB3TB_Qj~z|93QI;U2lWKTBT4q4xw(F7(l? zH8yp}Us~72a;9L3Y=__ZJrTIFY%7GD3cz|3G18K+TnPa#letw`F%=V)maid9na6CY zhk5=2ae7o5{_3_6JNxV3pj-e?O#Kyj_GogDI^Ebv$)6W_93QZp6xuE|l-IqGx z;bIVxmD^`v(8N7;EH%W&+3GX(Opl!$p(sJ{en6k#`<_u?po`!c8amEuvx%?Irqk=P zo5Bf9`tY3S8i++ool$MJwg=M^ykXIzMbHc0>>e$Un1faY8X~Qq>OI00V?!_h*Peml zs_**yfzG1`%f`p+ZzBygxhJvFxVhy&yM%z3cjOX-z{4tg4^kRN8C#!f zZd&=vF-oM<5?=`-da8t9REgr+!%Ytz08$YSQ+~PST>kr~EsFiVyT{>hJJ}$Azo}_C zND)crI7w6|weaNP#I*AFOL)O;^1M+z!I&vz-&Wk2_lvRzzft<#lj-~+YHdQf)+r>a1ER*@la*m5S6GwHH(4Tk> z1@AhO=nPrpZ>KzA1FDbaS)Fq-bPaw_$(P~Le2m6$DtD=-M8a6-(sHQ)-a!AXpXq7T z$T903^gqF&A?)!@8-3)mw=|aTNxI+3_*mbb&hV9XHjO(G+HcP#7to}{scF)6MDZL3y z*0@4Nru2LsX+z7o6~|WMXaG{WhRL$pit0f{Pk6L0*@P7PnAV%ipa~{9 z_9G6Mu)Gp?$6QzI^>nS^%R#$kvL7bz_|o@bH|>7VN{Q{;znRMiD};#DMJy_@52E^I zZR^gcFLxSqKBBixgf2PfaN!g~J!`8L!+&7q?|m)dyAMmeN>n|o`&#Lt=wgTPGwWYoudy9jcm%gc@dOVCL-X-Y%F`$CRk{pQD z!_W`n9l;Od`TPNL8|urJ4NPAX{f;aIv=xzj6zJH1eEawLfV4|YP5lrh@5s^QWMB}c zmx4utyj_nTJ?eA)wmNgalfhB<6=Uv&54wVNf}a+4PsBGwpiRE-Y185DJh_ONqo706 z{cW%qco9Hu?uE)W3nC-I`!Nu14D8850G_w~*smi*4N2KmKlavD?C>Gf9R=Ak2W zpLwI~X}B6V$s+@V<{E6AB;dg~>-;KYj2NUYff432Ni~Xn`sv(;KOuvTi+BXM942Sx zpbS<8#sgm;k%+Q3!y*U~0mdibCToT_(bp(C3pqYYoCxk*^0v#F?bGiq3@Szo`DC6x zF>XB*(Mw;fq&s97o7%5uEKg!(%q)o#?w0fEw9MH1-+(z_6JO)A4_>=_#5d3`<(qlL zIruyt{IXq4%%f=%YXj%$`*nPXIC*whf-ScHH+?Z*9b=GbOV);W=OR{@fad6`Xw?V#Y&G`;{c>k?q zu(s8pqyWzh0m;h;?Mie_H}5F!?}&h=^9BiIxg?k*?RjGK5aL+6&I%}KKBL4XLP1Wd$8yXxi_ke)q} zWaLgLhrjj*NnNqtc`s;uqfXw&o|nZ#lc?M56xg98**?TwV`EUKb36AU$`PT{$gJ8B zl2otMg8BqJ7}4L9_~g9&hNsagDZ3l@@I9|(>#Xn20;xM;k}875`cARSab!pl&oAg} ziYI)PG4>BFefJIKutAQ-18V$^Bv0jllNlmOAb%?+A?-@xH%7f7R9fNJ7t68zBp>@X zje9ulAY>uUp8q2Fab^%>%fHCT=1pZt&xf92+STcbZqN^+9YiAEmPh#ilSUAOh6mi3i$0_+$hq8V&&Mll+c^c8jKtFbG=AY-fM`H+ZLRn%s`Cf8keTv{ zu|2)Hp=u5n#=gn4>eH`9B$qhJNxy6yKqCwJ6Tg1#M-mhMH(w{>r?tCv=_P^4*yvoA ztSbE=YOS)>BFKSk#5wtV#%}i&e@NZo2Mm{ zuPLkmi6!}fagE_C#{co~lY42-QRk)24YZ=grah-kdwk|ygFQyS2c6z3Apw4mqh{vz zH>~(@F#uMOa~`20I|513-p^UJ1KV8u6;>m4i+6Abf_Ml_4WYUK&Iau;EO?96yFvY% z;cmB9MfvY=yWb9GVb_GiILohxA1mVbRwVrSLONfGsVwZBFG?QYqb&6noDl2w{Jb3E zvH(YK3F!%cYrJIYdiXN8Id|!vVK7qfalf%dW!zt_&&R!1V1^`VWH(-{%>9^URg20S z2qo-Fc#X`*k4LYg5U>I8SX2)U=3_X%m4CUfFZ)np=l1*eZ*};et(jm)i+V4gg#y7E z*2oZx;NQ^MI?Vz*+rP;Z&we{*m$sm>WZ*eOCxf_rl~Kr>d&b+okls$rJr=7fiBE+z zsW%~2hV+y;_dR0q0YS4>m0|eqV)&x(jxoqg^L?Jl0+j%&>`3ut`^RmAn6L^ zfCf79r!LK%7jql2m$UxUW~Q5$^SF+L#1xYlBHU%96Ob5KW($}bH*>D+K8;p7dZPvKXL0Rb#oTo6hTf)&R}EwHl)gvlc+xwiG+{a>{&4_UtL@bExOpo)`PUH9*vms*>8nX=A-pr;zpoB>W zkmr6gv&}$L?ucJ6e4BG1S{@^V7dBmsU}NBiSX&5&uI!;itS!-$R`6*2U!72Maxs70 z5WxXFSDWk?gLWnz3L1tzN6p8tT33+iU?Wra>9GFF3v69ATr(PuCZo1>4Ttd&bgI%rMn7X;7$Y4K@WP z<2+ykbW}ROoXY$jSdh_*$C^m1M!$%$0RvFRK_&GLVk~>$3C#MByg5L;h9Q*V0h91| zZpb5TB$jZ13S%{D>!&6V4QolB7;^7{_OJtc*zs9YP_bvmK{ROfWy3$1x>RwzU}Qi& zfFCRbq$m-JXs>MV_h&FZV0V7<^r>3Xi^Q9cMeb>dz~q5%16(R*DBM@?UU#W$=}44G zQj>~&N;_~~;naev5l?&Hx&4Qw;$Hg>^cxsYeYoAZSZtjPo1gP(YD1!W`)+y;UN?A4 zmP^0C(&-d;=*YyrwSK5L+xl|dfRN|z8Lfakg=dV!&E>@wBIQq&SD41^f!z~kyM&pP zJH-vijsbdxKJ z(aKd^hgZ3~ zX@}Lm!k{IgNDsICk$1OX+8JaG>NHv9G%m~T+I2p3&6{~5(O~97RF}-UdG3sOY0?gn z2-m-6n>KtHm)!qf5QF>hMzei$ZluzOeTzmUbSHXv@YL@MRq zw=rTWuCV+WLv+1AjuY%*;!ng-O%BJ9>av6?4G@ zqfs4G=r;YDPEr<&6%k0s%1&Z+Zv>Zm_W0<#ucD>_Tf%%u&`FTnIBs$39gLD&1)UB~ zp&~L6AtX~6-)KlV`UyK<3NM#+Rf>t+&%HQmsJ}y(?6S`9-ymNfk`yq<&#H0}jN5Zh zbn6=fXK;DIH&`eH`o>OwE@J1SmCK9oETNz*sNTHk*Q-zU>wLZJNRA!5q0+K={mOE; zhFnK6P>P|MbEX~7lr;(8Lo$ZDlGF=85bDh2pu$}vs=Octj|9Y~qwYtK*77epb?Pnv z^`5nYGv7=9Bq+~u;&8|rso0vSgzp?bX_%Qa4t#o63Vc+yKJ_tsp&w3>9rFM+qr+^+ zyh#ig=;Vda(M(JX$TJ+&=8C$G!CVradT<2|Q-c*IC3bmA>*W?95%=_WmBUoK% z6Ee}@J)>E@(nEJU;crA5mMRut=picvKW{CF^YyNz)U4!p_)^p*uB?+#i<3q|-Bh9h zSRlev^0vN81S z9Ka-M+Ia)eW|&N^7ijJkQtl=Z3|qGRxK(v0^f*i1!sBA7id|DwPEE$~X|t`I(gizW zK2*G8qYByB*aXw45Nkoh#0pdbQ)D}SlBnNX-=8wv^qvwFBP9XT6JXw5aaz=D`~K&z zn3DuQ6uklFg~{_%_d;5slha_6&-q=EyoNC}>K_VR!&t zVH=%0gWptwJtO!g%)8H-wiMmuu|&bBVDZrDBk_uaYz zPXL(sSLK>FL!(prB7=U*;pv4|&%My2OfoKEncCF3*0~kL_a!MLCJ2Ev<`hhp07>yV zA3ZaOjSR%p|FLu>;8d<_dr4_mN*O9Die(7N6sZgi%2I?3nKM%)lp>si-{MTs=*6L{j0H^y^8IQnMK#l2gDG|bdD{sm7=heKUBcrVlS zxEy*_05#y37tDpt`j`(0)*VR+Q(z2OP-a!l_?Y$}DdU8}v`UbQxtb{h-E}|xIyH>? z;+0oR(>)QX+n#q98a&(BbYU>xP`la#g0WbsUV&9AaVsbGPo`9+SGvg^WtBV-w-~wO zn^v{ptIsnhB}XK}{vPKA9q2!zpa3obo-RRz|0UuQ)R{y?0V)RXaO@uEa3n)Q$7&al z?ne0qe|E%xnl3Zy3=7;UJdBlP#=kx9%U>;8ee3+$vxm?S5R@d_q%XDHQM~8#xkWg? z4r^0m>n>AahK1=YW9_H?ec1m7HGXk4PAC?>x5On69%%|w+l@q*`$lBnI^E6Uw$>AY zChvcdjtD#1bGnyGNbWoy4`Pm+fpVI7{7{}Tj2?GMkjY%5P+wNiqh8s>ZEd`W#1HP#8;|~C>{-o7qKbQ)3KDL#8yL%}EtqMf&Fb@>Whz+8@gRgn z4P&zPjPDQzJK~+HmgAMx&r6XDbWONiX1U^!u5*Ni44^)8bAn~4THYFUM_>3F1bV6( z@^Nc$y%T{WCVes$!uIGRw1P~;_BXaieXR1v8M3qh`2nG=+RAV9S7fxWRqFcid(Qs? zOZ8SgMy3xT;!Q@3uhzAyuZ+ptfRsma=aiI?UIsTl$a2+K(&@Cb=ZBE91K{4sh#8b^ z`%7i3wx_>{zS8~qw3!C$(Z*wR#f@72k>|`SqtDx|c$jgk>o^J~PAIJZ5sP>jl$-Ty zd)NJqy1qe>HD-J0>9Ey8l%OMFvoe%=E*b~>s&b=~?JBGik734swuoPF51n~%IF!0> zl|(>DLvHx+okpD&J$@=D9K|#D?yOOzUoi?kvY}2T-6(uqr7)Iydv7~^m|k;pp=O5G z8un*svkLuI#_szpubtj|3qD2M@oFfdfUXb`4qj5!$&9fxpc4=w9@bs>snd8@9=IFe z-$L0jnOh>hzM8GBTWUpxVxu;3Yx(jhny`rnF-W(0oSgAop2y?yxxZoNLBpq>8UoY6 z25r$tU=!Dkd&F$Jyh{3J`u zaT9bDR*P|Cb9((Y=G!e3prt3$gyNpIt5c38F| zHk zHv2(4pkU8eq)HsWki;7ZF5fk*;fQ@DaC6|`#K3^0*Mjd&XrDXP8&A`ktn_5Iw zzEv;EDx|$7%m_u|L9ZaqX!wB!jd!`vqeHRO*Z8#BOq(8WocB<`iWJcc84jvCkzO8q z2N>1W*8QyC!D^%Bc6g9DxQsaOytH}FP{DI__EdUAK<$n${yDZ51roA-67UoD@OXA08>RWq8Cuc>oe&~4pYgFQ!2*9Kji zI(=d5PnjKyCHzvon|n>+hZ^{b=!=0+M7 zbZ@1d!3%zMmR#DkS=HtTaaTbUa<*{N#mx%@vh^g~0`|;`+@3!*jezEyE_dHUw8RjS zE`yZ0YNg_@gJfPAed3MjmxxgrezLYHWxvUJ{CGUmu@p1-x%SKwq38Md4)7b^mtC&o zkJ?<1VYq4iYuVb$oB(ZhiHP#@@@>!qz+V*6OK3dH@`|D4Mmrkmz|PEsZ{$B*!;}o+ zZLdmvPsuh@Eq|7rFbb#&q$(u09y1tu8r&P=!Nw2SEcWBX`=gHl>!_Z}wN9o#Cv#ac zrv#r|azCW1`_ZEIKt5gNDD7IHg?epMXx*-dS*D4qram^JI$Ux9Oku^Q)%}q z32s?VpC(V63to7id}p)|)JeQIw6J|UAW7F)kq}{u$s@g@^Rkl z^WO3{6x~SR98`b&Fk|-sqdiPYT873BURHoFVVQm^dDkjMbWsU42>8%|9R+GVCH3Yw zx-Y^40(L9s$i@M=7ODp{vB>K%#~TMDg8dNJFk$@DEz-yDLf~#fQj&Sg_)KxrbI%20 zK$;MBfR5Ia5c^uTJpF)_o8NyBOh`=X-#gythU^-ejx6`S_V)JC%YEPGh^Sjmunf49 zC*8H|li`#0vgAHYDK5gLAeEAR4cy<0M3X$B`+LYsb>=Sf!;Wx))(?Dt+ea681}Z?g@1#>flpPKri5tAtWXVM+Ep7z85TFP#|#o!O>p{ssWM$nq?ry3z1C{ zC~r`4!$lo0=bd>4bOR8ELxlfHRF);iaHJ8ka0$c{li43(4=-RuKyqc!u%f7%S1z`A z*9^PkPa!M3G|h+a6wsp_qL6e0iuM8HukLiREOWEub|Z+#LsM3 z{6~(yPF4K%VEIwFU;2K9?irvKEE%hCYIR;~;wT}m273NSW7`~qkQcC>AtBS0%9m^& zIL5`Q-}+(2a2Bgdt3P!`@xc|LnfrtoUu^rAeoLH$=R<2@`lo^Cm93U4<<$9Pt`I8ci=h`Ey}SRj)8p5Ctzp@<+s#Bg z`_5=8^+#IJkQ36`@naD)lGnl89y|A?Y5V|mhsy;v{K$0Gilte_YF9(UvZGA_2a8K* z_{MPL1^LVQd`Mkb9NB*d=AL*Q)wm$qzE$EMA`ujn^5xS&z^1aYz4snM zLrqxfBwOS!lOML07?**b3_r0?6a2hVDh}u^`mLi@R{WrJf`U#2-?%jjnrECHUV%uG zn=3Io1@?p1IE+MP8nRA>JwWIcg4-jgNV!BqHRci7IG(nA~XPx z_6d#4GuK`rSB)69Gke3uB41$vbFO%@KR;Pk621cQwt@xlgM&{NVE1VbH}%8qn{Ykx z|2s^69+Fw!?ppzZm}ukhU<()Vz!rFy_wbjl9{3cenRsN`t#E;? zX4SA(ty(AEl9ft_f6}Tq&Y8~o9f{DkaN2^Z0(E8BLuw~5PaW&cQIVtmR4dw{u~p)6 zSD{f4i@=R^zSz*eNKaQ6k+bQ}O?b<&nB40;{2y^Z&B_u}(>d;W39@?U#PV|Euo}Ef z51L_J9-CjE0LmabHLSJN&qV{_Bw`D+{0u*Jhw@L0;$R-B7)PJWg~P%`fyCcv;0hCV6@O4K~It&jjkoTq-z8%J94FjWj?!64*du!Zz?Q$%)NAi%K5M9Z$ zXV2#Ovwwd4cJ}1Skh9+|0={&@o@n@wJ!qgRsqcs%0W_o}n+N@*a?vJscFR~(cj-NQ z%7d^WIDQ6adrqD^+*i0}Bf$v?A0q#G zEH;t@3;ll;z}fJ}I%o|fXYd=C@oD!26!;xHYHKex^6S-)Kdo|hVA$HS-bwJ zg+&lXGk6nW$OZ0;7AH-4{iK7|$l+zm1}!RQYn3kA{pIyN)T-S5rZa14kKgN8134L% zwGJvG(I#Cf&82z&_BQqPn;@{#e<|$IN*9VeKz+RVNS5BVu$$q@n`#hzFESN0wmX<- zL2TFU`7vKD&ZBguy*hDntbu7cp2A7P5`zkoGoc?U3-{jWAfjfl$D~Al{1PM#s@5Kw#t> z6aW~8llKObAwdHiTc_;c=12CN#>U%-7zRvuh9^>B16lEb4jXgV7cxQB@+TzZ_5A-&rF1>k4WV2tg&0^Ij(5%_B}(eJ=M75j^_jJvfC3$3{58c>xm(Nth&`iS)+f zuvsy~7BFK>T*{LfW^ItYTtJTY+H|f_BVwii8?N}Kh9b7WG_Bx% zYkN_nV!xlVaO6uus)NEVHgb05En;Iza&RKKW{~!9P;}#~S1gJ#9eF3o?=c0QHm}VE z+&=Mt-dV1KSql;UH;NPy5w5;0bGY0c`1$ZA1%kZzF z*74JMTb(~&*c;Iox)}cZR6)>N*Vp1scCqjDQt3rU=mxD?0&V)*!ga!a^NV2&qtt=4 z3B+6lJq;_`L5l#MW)&4as~o(IL)rcqQ+@dQ!M$`Ja~`T3wI+Bm%5sa;6H3}xpq83) zD}C{9;umUirwylS^Yn5bE*9OL5f1e(enZD1qYe~P^_9VZsWF#Gi3_h6$ru8cN^6DI z;;3sWA!nR`5*FPP_NqCjMRC_&?>mniF%kGJKdKes7VJKd()P~BcZsmTF@+LE97Z8V z-PP6R5@==4z+a6*LGKPmfM?}6a2Is&=yHB7E*;byAm2R)VPk`LPi|Ez=ub-9DNzlP#X&p%!sOyL{{45L zowM0FXc>)L3nfdbeW3(6FuW&nU~~;)zS;XUO+SIWpPrLrV`NJwarvteXl80Wppany zob5Gqd7?9MB85c30N^B~6(YiS=#e2(5u05sIS(H)LVIx?ag%@$o9bnnWWbyxl;TUq zy@ltZ<|km5yPYJ6bXtU1b$!NW3VB`kiu=F=9x2#&94iZ=QzYSBWL_T4#b)m?{?pXV z^ssS~g^)etQ?8NvvmPd$pC5+2JX>fjf4U3D94Z*BD&k^(`!g|@#s4!R+-9lqY&mT+ zod%US#w+yB_|Se>p0%$=A;d*1;;&|7lghh=8pyWVKcZZnzD>#X^S(NwNC0(8d9Ml} ziM99Tle3kgL?|#I3yYjd&Rf|+7m_S6a_rz6F0yQA(>bN(^xEle!-dA=DWNbGp-WK+ z_48&B+E0v_R*SpE&{u3 zTsbu(*yg6KO5@+!GbnfLnuhQ%TlwLqP;n?<-?w#LiuA*M$Vel12WdW0CP=pelpBsX z#N?FR0mLr}JP?2@LMc3RZ)(dWFYLoY6Q&5;$ToR~dkxd)>^It4?HwI+c8Tx&k~vxo zt+FtFPLDPp+q?BO-tUxE)Vomqj>X*V&z@cpj9+cH9KnKS-?=XMaoCjW0m~%nZRp|N zakrFa1AVC`UdK~YQ=+W5DsEu+g_&2gryPRNy!j5j{^^4mouE7CBB+g|w;&uzLse2? zIVHi14Jtm&?{EujeZ&t`Bg?04oDE7aa1}`MP$kKE8=Wx>8tj*Cj<`FvaU;9bM>FI<}CWrru@*Wk_@fC=uYY?t)g&Liirrd|V2-lPn=2>H5* zdw@4ARrYjfAVS3#+bH4$d$zRBQgW1$0bWl-#m{G+WX`>@cKI;4HPsI`clZ~kuN)+D zNiqeHD?wj)5C}2XS$70;5wFzFg9hdQEgp$UJ_Lae?rJ$Y;!p(`t5fvw$q8%Sx)Xfq z(n)Gsj`~BLnB|8z6)Q*5O-eu@PPi|mn)e8PfDh}<7mQ4;Z`XOL=y1HMrLA^0`n?;= z!3;Ve31PpWF)_;7E!3`iaz{Uldfpv2ZaYZ^W0Cp+(0KC_V!&dmiYsn=L-mev)tl`OFjf==~>S1 z`QW}~fB!j5kg&=p5lvYkgg!<27`*>$B_Ln|*NYky{6~BPfvo1gf1|W}AT|4Y_45i? zR0LdVsa#l1x-C3E+|5m^1219mH3+#n*Ocq-i}pQ5Ye}n&vJ^JcMX1bY#BZXU4*edD zuYq%fv_CQsNxqRkiSI&V$q|nCPDog|exJHz`$3irv%d3lp>)7eY} ztD?Oa=5(w9ZJpzPM~P0;Qs#?1Moq?~hWbc^0-%yXrcT_&!AnP*de-^i%)03`OXUL! zKOz-Xnb}ggR5Scll0&zKs|wSu)Oi=Y3fnv&^VDHBtb|9~O=2O4x>9GK#}s!+%^o&c z8h5UzCsU9YXGT3m=$e}KH3_yL&%~EIW7W@1T&7p<*l^T2m`#}TX0zwrlL?@H1PBck zp@}983y2HgS`?Z8O7J|j)b?^j6}87ae#A29Tey$;ibKLRI7`yhEt3ks11vTHCFr5n zRS#Jf_h9yVzj^=GbwKS>1|Oac8cpw+BoHex#kUVDS>w*V91huvl0uN~b5B}|S@GdHft zm4s1@nzVugDY-!wmABp_{pyt2+~Q1F3lC2TGAmwZ=sbQuj^DcxXke7PCul6@V2goU8d(_`AI^4%OTNVobM^voDAex>|8(GFsu6PgUhYJbQlZFByAsz=;fl`S%~XCeEwe*8XPvXBNQJbJr2L|H8X{^R~Lh$Ud8hRO=w?u zfL8m%%=ru$pPnW>E3e@X{uf0H1Sw*A--C0%NenUuyMNM}5Xex`qH2>-k;egH#H`^qec1-*FZKF#XlE5jEF^8U~B15Asg+9gyzat z!~XxeHxcx0_9!+rxSBy6#v=HANJOI}0yi=6jM0L$FQRh=#+(w6XwKx5S1%!W>&T6t z@7^stddot5v-Wj%9n;=pblJ?+Wc$d>v;itpT?M*T!5hd&AXm_FHVI~_TeJ9XyKuGb zlknk$%s*JraM7h(b!}i0abYj^g!nTfMkG3_4hygT*=3kF#@lc6T1RX}7*gXx{a|_t z@OiR=>PWpW(3}ViQZxuk3)Qe={*ec2lHG5QGKJiFWBqO-ydWSiDaqvEXIKcjmO`SV zbNUj%>`{IWBea7UhlqDJkXUr;#LiZ^s=cj^1Z~+mI>H_JR5e5LRQT$@)D;v%R{ z`r)bA?Qudq(5g+xpu8CaeE>!)20i!gJgYUpai`<5VX|Zq?FJtkoe!uG4v%h{xzaTTns$l^4MUd*o@1Qm$cbLxmZ4@_;*_ISEG%B z9~i$}*sgGC><4v@X9>hh<}0N*SXEdtGEltdE_>fVJ@){zwAE;|nHMl~UeMa|{xdSs zI<8_A5;(QU-Hf2m-Ze~t$e7vvAzqIH`xKugCVj`lVN}Lf)qXFwFOhl}hO8*Hjp-0(vYYhkvF?R6OZXP0(A#14ysY|Y2>={p zX@Y1)oXiKkJMB&-v!2j3NzU6DZx!I6a_uZKD0)4psm#$A_`_N|N`h ztNTdc3%LI;u)H8TCEzWQUj%M3Z61#FO+11~C=wTk+vC)9AKiDPvU0key7N%2Yu|ZU z!fXU(?9Kx_TxMgX^&_A!YG3eBR$c+|u@COSND;ktPnYq&efQ3fMDdL;0<3v>((va0 z(5CYxBOA-$wM}uaxu*M!Bz0PZbF1ckvG*O@^?Usep7f2t2w$$*P5HcQ#qJu?_%7;h z07d9q&zZ9Tv34LF;=#GBx4p&nqAf29q%_KLGi7RXW7( zs=aX?)l%sjBPG81a@JH!|D##c8I z9DQ83WUGzfNvP<8a?ady1wcx$TCWSZBtgjI`JCdIr#c-L zF#>Z6(6wS~0i&}Vaictf>~7Rr<)YB7G=Xp|{Q)mS62fJepsmc1nt4@wQRNU{mZRXMgYnO2ESd|AtkGQDy@kc}I@NH8SEiW_+WbOD+s?IKCpRv2{@5 zQ5(G>G$Q;+(vtN_;m&)C)wg#s4W?@CEOacep(oQl2hRob)Wj4W<5W7i-vU@2Ze>ku zVqSLRUdHSUhsOx6P}g>}XV^fH`56E>Y-$PQ4h<_t>k9yckyyM5a1F?on&S-?)}eY# zO-vy464Et-Ta7&Dn9Oz5Qs14G$Ic6=8$7TXKCjJ9F(CCnLpYLJS8``G-rGd~%FN{P zYlhDiH^U3S4Aow)<0>gBP@A2`=4u=%ENHOcYJF&AZ&;Q7vx_^yx_PpSpC>c+h?uun zrVzXbbrwxAWIZb_b%F-zTzwZ3GS8stp{U=Hor`VJ>ulx2HHcaxW8cgau+7;xo5_y_ z*0NWYevdLxh@R#9yZ9yPZ+W0P$pxApRgSSU4dBxL!B{!)>ISj!#;_DSYO;1KF?!bj zp%I^+a!i`*&1!2|;U`>APycVZMNLd9-ZlKpEy`6Mdv2f_`0CPc-vx0TjS3<#6OhUt zrcG7d%gOhJPlR2|Sb6HEn|?uanC-Fz=bLD=iFu^!Tdmh)E(K8t7T!;_PJ2IiBzQbD zVNlY&a6`>8`eu6XN6VAe=9<6x1GnqH4V6(nkCOq1Bj70_bS9rMwkH=P9dD1*dZ@G= z@ajgABSph?ue`4^ubRPftFQN%MIuXd<|UHrk>d1X;DS(+M)%GUc$gb!bYD4+^upIY^H zdp2{718iE$2>Y$$1|nmU>c1cwT;1ml$8oA7jprYs0_Nkl?8OY9|`SRuY71LZN zWw-xb^vGled**+3ES|qo%3ieVWKQ4sdOceOgy5f(}K3qCz~&2R2z6)SiU);qZL z_L@zhLEAH89AsbHw41`~x4>c|hKXsCavCrYr_c6=oO={j{z|*B-FtUKe%3>nHsL6_~2+7U24+-SDc_Yl#h30Kh$3J z!n>|B;d8R$iLMC9`p=}gPs;zu#{e<2Z~cF1;~!u%zzode3N5iiYuqWV>@c2J9 z*x+ph*%h7^ql%@#F-1a zzUkjz)z#6+ka6ijqcYS0F$(|g4dv%$K1Pb%Ki{uh#sKIOZpjIN6tGhSrV8kUu%O4d z+azF{(ViB5FC;>RDs9&5PWO?Kpe5l0>AV%Ye?s`>4NI0)>;Yjep1Pl1fPXp&YjGao zz2%^xT;=q3G~)B*C8L0|0yrk`wYMI#_O9E0DI-)R$w}V8CXE#m5Mrn)&bL9}iMQ61 z!Lv8&sTe!H8TlZgr9uVz! z@4gk`r4A;xj>P^x(`T00FcD`tcDET&Cb{DmdPkv(ei}20eu1cju%{v?A}P1<4Wd#S zvSiq?nEKUOqrj9PJAFQ_HirB>B$XV}#nqH60NcJJ0hfi=bC>}aBdAzw-OGVMkUz#I z@fhZ$ihuXXE~azdDpXd$EwINRTVOjoO^!bFvINuGz!(2$+S-@Xpuk3==cc6}^Gv%) znu_g@PjQyZb@a4WR6VCt1FOx2y#qbNBUjKoRHjr;c7B%9+AA<2TgOGGY5yl7t`MeT z%YK3`$}9Kkf;$vwv$qz_vm%Hu@)b!xUpEurZ2G^==@V}qO+Pt(sWIec3Es4$P9S}q z+0_#EbG@dl7qk<8Y&BC%esE`a3+;f|C`_eQ{f8V24KU}WWLVQ<3QmjSv%_x((jjFy z&EWMVEj2kbc-mMnw_Dx@>DG7JAMHAEfdKO$JxUzrYX28R6odJ0xWRcSmZusnWMg#N7Z{!V{PE-TKs0w1nTC!&(T`I3_59 z(77`t%ymn-O zWx@PSTt7{CTYP+Pt-_pkQsK8{JEKo(oV#lJejeD6c+BR<>x{iO0!b%>@^WgVA-{Y7 z7IbCA+*9H2?`9S^?*2c&r`!6;%Dm(znxquXYr^T=wVxds~Ed#V(d06Z_o=jbqE?@u$#xOssmOHM0FZF zu*5O;6sr^b7_s`s5jGlIxmMutnz{{3KB|Rx3kEbdERR{u+hJo`w{`cS;59TUx*!xC zh1CwH^r??`*3Vk)Ir>R0S5$o09c-=^o4u*`RDx;rKvhX3%l>T-H$3o~T9`JQv`^LX z;c$`d?_no1G0qPCiT4>-;k)&k z+N+-Rokzh;!u?2+0?=T=)!qjO0K@>16s|TA;DsMOl3=!i={LxSsJTOr0SyD=_H8C# zb`N1bjO#;`ikn9hIXiH%v2t*PvzmSz1*SET-SyCvVway%<|RYsGpjlRpw}4M3~+jNup^AO26YzpQ1!(3ubwTwUR$WPzhPR{BOp@Wj1P zJ-Y)fH}>IR02yvE+C87o{uK#hh}?MFxqgP_*ssg5ks)jg+z~Mj8*uwGxmkToLL7(` zF^GwQuBieRM}Ysoqh3gUn=0;e-6B>pOn2#g<%^K(LC_gQ@qC*yBF_`#7!$6~hh8C8 zB5xxX(v_n<=g*%%idhV?Fw+b@_uhSx=Jxt!=7E^Ytt~~-*gv6*WhWjr>ZS3}rP=&z zO;&!m5H9+bP13zK`dmg1>M}>zp=-VjAG903(-d|I5k=xP%R&QyR`_J^|C0QGTuW0B zgm^Q6k8*S|DzOPPE#+qSDq8RUvFC}qWI-%7g6e#almAuMOc3u9)ZN-$hA~261xfVV zi!C7z*zt0jQioUruWJPZnaAx1x`}em+q`3K8v}(5er}Esd#tFX`P!4O>-F>2pko~D zZAR3(pUJ5of>frCDKd;Gvg)<&tF635zf7&aav&`ze4}bGE8-d`(4K>H*V zh%&Zs&CgF3AlvA6)f_{CfhNaZ9-o5ZKFwxmU?ANyq%aPUTOnZ;jCo&LMHvTR0|$=q z8%Hfu*y@M4KP5&uYLSKsvZX;s;BoO9hiAb)8?0$mE{y8qmwU)l#I6#gZB1hyi`>mb zqZp@2#3BUxpbYCgid#!?lz|&O+%0+N$*w@XkpH0qH!ahNL+I96u3Tk&ahOGZIR)Dq zqD53p7(az0RDl2?g4Q7Js%AQP4u3N7Lq%~Mf>9A?o&vnud;h_%{Fb)+>ek4IMUDqb z#vfQ%^s*{^xHk0eE~bS2vFcDFW+cquXCfYY1g$b2hQ#C%+vDNfpl$gNF%`ph)F4>V zo_a&&9<66bn*mtus8Bm2RCJw8shs?No&21PN?}K-msHqkrJPT$QUeL0hJPomzU8%$ zU^J?e&Nj;>T{u~dd1QQB#|rPtc&&29>2FDVYp@-_H_4D1H3LSNfRUIxQV&i%wv;4L2S>N5t}YWq zl$i1fJC^ucVg5itCanXB)Sa(Sc?!zgAuPg5dGA@-UH~T=Z|5fH^asF)!%C#J(}V;Y z`91B0sY6~-^*O%BP3y4T;E)sK&OL3fl5rTaF#En|I^{)O_Apf6f*+KmEnt~u5O$iH z=NzdS5BJxmx;_AGD>*zAFn0oL&p5=%cwap4Z;9|>85x;bPNlU!xou41$xh~s_}-68 zT;k$Jx&QCq7G>nTYH3Jui4k^s#8L19$aahrVhHl)+dPzS;tt)?STcTc$cK3RB-BFs z-xltl0bBISN8gpO%|-qiPAVi)5&6p|Oa7NW1>agf-cH3IfhQBd4@3hC8#XxByucjUm4_pABB9I>|?MbT~veu7T^GSm}f$ zhl(Ni{|U0v_s)vKJOiMb_GtiL_}I8!0e|5yG|38LulDOM*-cLyynbzX zW8G#}e(L%EviNkg?fvR^bu-frY3fvE3VqZrRG`!c)L2d4zAXy67jQm+0rX6}$vfhNAc1`pf*SM?6{xw4{l4;@Z#{p-0@qI0u zhMin~v%)Qs&`Gj{;WPPU`Yi^n55@mtT)3#~RG2^S+NzaE)j5o60H!>IoH$n?oT=^% zS546t&;%ld9U-_60N2)F=10mPDKOZ1oOQOsRR#Dx@CbWYB>rLLr>lkrW|IKy00sStbBd!d#+S-y*x2TDY;YrtSFAwh+_wPHe z*Yg9CxJtSOua1+meTr~!kccjG1eF@{5F`;o-UT|oNAv60m{!}a zI7y_L#9bG@e{UAF*`Ws0u|0G?x?`I>ZhNxdH-a1eSUHR}Qscc0Mika<#N?N%Qwxbl z2^5y%kg$;oNlYhUfvS2L#F!%}l}j_Ge>w2-l7K}Fi3_66KfJ2(v-m)1O)~UGW2(*~ zE*ifa&&s< z{w*~2yWg#CU3tTl5Os*Rh{PSEppjre;ywxBTG~~jqCY$Cy3}7lScxDnhjC?!BIr7@ zI&}F-Tp1n^HU?ks8E?oUV*onRHuTU*73- z>;gY8OQ=0CduKQlRL-H@w7p(phbQ?DRu47gj(VvW3e=byY%gKK&jjxXuy@aTv!U&I zkGAL1#M51F3Uw0_T`cKaho=6Np%EquE4(Xc;6dy6!#Wry5m-49z8DxVU>TuQDw780 z!Gjj~+|-KDjA-T>-ofCT?ZB?m0y6lq!UBO&EosoOLC)sJAIi0dbvpTqC!NFcKF7C3OSw(FlsW6w;58te~NY-gyXqZRTr*!^87sKe==BgWEvK$Teu7qrlWEY0stZR z!#*ri;a|R&nP>;3)uQK1CuPXCWNZ_G7q*eK7((2_zAygWWD}g%vCexi zho_-1n;S9!ud0eY-=g1GlSd2U4O)J=TOOOm&z$*4O30=ad&8pcD|^KM9T)tCTLXAL zRMu)9R8G*Ru$dx@1~9K)z(NF2Q&2K_WiUC-e(Mhb(2z!hj_=ek`*Z}M{Z0k?e!^vg z)&&)_ew~0+_`TxgKh=MA9#gla=JJcsoOphDgVZ}-SLqb&Tky%LcQ`rlI=w)$UV=Z2 zH^kpVt@^t5t{*hy^V;$@i>Wm!SHi67G;#)Kk2yPGtFui53+ST^(wLu(t!ScaqzP zfrT*J$d`lWo$$1wn}9{K_21+>+T7=e7VmV4Ge0TCYiZ0e&t7l9KXwH>()W8N0C7=T z9uGo_M$!n#T6#V{$Q{aP-uhbEcX6F~M zhi+r!EZrTETB%4GVKSCrXDe?p0fBSwi zIh|Bc@czm@+sexIM3ibIy5V51T8ipRrU{v@4FVcpZAFOQ6OuBWdqa8{{=$Vx4PNQoV zENMsi~S2}J?;n?7F z)LOmt5tLilFA=|BOt8X_g_|*@UPl%m24!qZA7Tv!ug9YhmSCpCm8j#LJQ!5dle3m< zvpNZ>Y3nDRJ@s1~qhxVWeuu*ET=(h1vm9h!hlH=P;m|+poE8ZoM5HIAq4t|z)@&U1 z^_h(?mh1zjW)K!~rqIB}E94}UVNjl}!Ctp<{seL5k(ZN^Xy){mqk`m%guNd!F zYRAR(0zI#U(_q!X?Ed!lM_y~1_??YIc-)3JcnqvDg}d|%Y?Pf%F0X}_Ncvw5;Ba0M zcKmbvzIR&3Sa0p>U)L}NY4TI5{UqX0!%HL!)6@r@U`&jL zxc<>;@C?Cu*5RbbqYhv^*nzNm%4H~D>&(BG75wKUYI}0{bZ86M;+Rxlg7g72&Hv)Q zwYb<+z!+MNpACe?A^Z)ByQ3I+I3UF07ZGFBrI+r}5*~=UEJ(`uQ!Lr@UIwm|^mRuI zL9%23kx8c33vt~Utlnh$KJ)ODJ*+X%Wsec@`WXm}$sY;h^!dJ7r3ll-C;PPt#7~aM zM+Z3VZ*naA5nwihF~~Cj(d_F{mx;-E%cwJ02P9?}jY%FuVZ)6$;5De|TpXQB=mq+t zT=#|4JWT&QPYU}lI1$_=l-HULnBq@&N&$jjcTe&)b4}%XNJ~t=FS#3>NahHx3iLRn zPOq|;dG*ggk{MSWmXJh9jP6+++bGmf?0QA=0)DHaHevmwBMqM@!dF+1*_(LC8KR}O zDRhN+zqypx(nN8uvmgHRLeS}z13dwR;s>f;+R|YM%()}9g(XIho9c(m%Hm`0xZi1w zdWudN-g2-PP1bbMJo?6SjsKwx7HxUAaualjRyBOT1wzU2GcwHnAJzb} zD_xTYT#`U#LPAQw^B^!M5f@;-f^#V?D~p}du@P5Ir>Nt2vFnzgvPJYi{`f@TuXoXT_h0wLgDvhJq>f)f_YY{h7?x ztevk`y`FiiWcu+{x5r%>`70rFHx&Oc@XWW|m=deG;XUv1f-r)>!L8X;@k^N`JW|{_ z@<|wJlPkbW^W4pN3rWm4c7L`Ca1SAYW72L{Sz#tHYUDd|ai7lHHHS8?8T5SWI~_9M z>M4C;b-=QQO667QTuCEh9q+C@k5^3ra?=8|2iOWu_a3{|%a`F4lSoV?ui#6KuzE9a z0R-h8_fNcpV>Y@l{M&`E9Do+0b*NyCf#^n^+)!QF_~z6d&S~%AQDuvuU|PWhEaa`e3@Lz)v4`9JT#||Y>*o+<5PwwQ zFwoQl)C?Wm7aM@G@8(vr`Y{~kh`Ae-5s_-*sP~wpQRV6->n(Oos%tsO8Ufd0ngaiU z_~9Xq5B@RE?KYkp4A7I2xJA%-NIW(1^u({=MF8*g%RAkyzb1FUSB5(gmxi~Cr{M4P zhgg3&_Y}zQi)|`%0KRho44lPT2Bi-%8Td|{Jw8b>J{X1&@8hEH3s&JW*@Y@W1z$`L z1oQ^^2^Tc*HssPIa=R`o7uLa${WV$v-QEz4wRu`xU92u?S;e!EE)lOLfR{a?ef#M-7jrn@Fn1L)VB7CePfL|M-}kDn|w6!AFr=%lxNlOc;jg% zUZ(KSzx@zhidtyNak$+0B-4k6#$Caw*Qxhyzq}8TpA)=)f*198%L=-gmM6cC3U!$J zR-gw~WA(x+#}l@${P_OeahU8&KC!Hne|*H*i1zD;-Bt?W2;p3z2$F08fCIqfS9=tn z7DdG;E-I%^v4KSe^4_CdI)v;v2Y2L8dFKn(bYWd?#0RFOGOxYKA{wN`1ycfuRj zBzi*v$($&^dv`M$bfYpjoBWzBuDC<&gel^f?*AZHNHZRbRs>QE0X~Kt++T4x(n7H@_0xjQy^jNiPxs`?+ z@?;P~4+oDlBWO14Wum91@>?U&5i|71Xb`j?trlh^JWYZMErL=3t!q+l?gkX+psh|N zM(DioSB5+6&2%@aKo_pG<$>6wedW%Vhneo2svd$?W>6*GL0KzcIQj#3Z7u|!*Qh0( zJPLh+JB}Ua3CzKgANZ>#+m{7(I*ooKCMS$a?K(1byT^>@etdONvgC2cwS!(RMtju> zOu3@kA(sbWFxFFJPsK;EG9X)RuzGMA3OnAa&p^#3yaxEL;S-V;8_CzanVovHjZ;?| z=9nQntNxGmqmrX?8=*d9<@msAD*YUTZA9vIqw_H4c3ZUrWYR3-`Exgy<`^kt;D#Ys zBK{EIIIp0v)!~_%VWE)X2cK|Zkt10nQ%_2<>BjCCJJVBLo3NG4!T%@HapGj!Aw{fH z@8H102Z4bC$`+Z#iGwPk&^6qK{u<~(N2m%!6t#J(EX#?&A4U$Qb`zZ>00f3pU!*#3 zy{mx^oP;!xwe6_Y0!Hpy765l=C>k4O=v$SRoWD@dT0Ww`8qm0Y3XZGToq;wUkyHco zT@Yc-bBUx1dQ4?pk*G|-y-0!vP8}L^cHlTb&GCeVm&XYU2`8z1Y?(be!m{wBxFeT^ zdW4du>el*9uuh~T%ib@vNS^hub~r8X=3NEWquP6&=T1mba7!rz`p9FF-2bGk%qZ*(zN)=m zfA*3A8osKiQrBOZr99=6sL7OARo>l*_igj%@?cq6Sqm)eDel=_U@NFq1SLOzuZsp_ zF)RL?%i;oRB`6}--dG>TB`m&qBHtJQgc-g?vQ5O5GCy${uNsnm+Qy;w0;J1wQ z1GMoQKH(b`Z{fj?09mW6fo(#2!hw@U#vRHTrHy00XZoLe{&V#PIdjGY&1 zLk90ZKahrgBK6(r=N`X(=HCH1gqDNZR-X_H4Drq}Fz!v63fs7!##CGJoAWUn-F~~B z^PgW%*hS+kyn+n|jxrt*&_Jsrpj;2YCqU;QQA`tdwANwtF9k3-hYA5$4L)yIN18d2 zKM#irQ^f?^_T}Ym52V_K1HR>2!9|mxnbg$>AawEJI=ZkZg^R9A*D2UFmY<*8ebZGw zJz!{x%98$bS;Bw2Sx>kp1rJpZspJJ&a!FO6_7AHuWxc3nEbv&9u43Neg`-67;_iC% zbAUQBGE_H2_ngovf%!R%=QnGoc%zM;YC@89h5t1R@q zXVZ#H_YFZSJJB3jBBw-AK6q1tY1O&*23040wG$T~pD57ntse{uy|Y2zugmu0Lrb+M zUERBO8ybow7qRA#-@Vz8!5?-@dHaz&*P{>l_#XV^<@m_v*{HLZ_xJrQC+B`vQW&RC zOnd3b^S@iXIOp>0M)oV4rr&WD^N)9Ic@Bx*F8#dgvD&`uNhKvZO83eeG1StWcW7-I6JOuf9G6W7|_-b^G& z;Pu!eBeO5t%ujg#cwG}kmHE-c385`HT{R_9oh3HgyEJN=YMq;{>FRrQiYJEh^Yi)Z z?iWUMM%M?>zEa*OoE(%?=n1JWKc4LAxj(v|X}_!WgV?Z7=iB2tEk6V|JpWrX7ZuAt zvTpa}-oE49{Bk?=)YXHhrl&!XADLT-{a!zNHOI{A=+OWYXa4f#At2q`6g*C2`Q>75 zeCguFy}mKq^vt(gIl45zbZ%DXt6UbKYi#^vV!~c6UP1mVkHM?8VZ_gv{6e(Mt}L;2 z9dHqzsS}Lf>+Ow&?fPO7#NNBQU*K0YqIV)Y{r2tKPkoxkzJ1fXbgA&RL^m=?PHh4z zd&19*!dJifAutVPENt8d0|nK4Y!@#QPx~>bKsABS6Hy`}bdyJM&C4y$)Aftb$5Ig- zK_h&pEO@u{A+Nk?5&U=ePxozp^8Ee5GkP(WQsz%tbHT}RPs}eCj?1AIevGBdo3?FT z%gp>4%m(NHPvHYv8-rr7lYRA0L9_&%EdhqJF$D$EBg4a3nK!JW!LRQVND0e~?kC%-Zce?_R-#8>eerb9)t5wV3M>nLnnN_u=6 zwp061{PjO^a zx!ReNQCzGCXbmbnybCU_vGxuQIxtDZji7B}k_C#R4pNG-KHBI0GYy||a6X2AmhCw6 zs=nf$3vU+pQVtXG{qWqv9=q1$r)zg654=g32M#eZ{aYINxD98VblK5w=xJQM-tLH< zU>W)_3(uIoRbvYa3zx9Mf2UyT;P3>>nYf>qRx&YZ!w`U#IP~6vZ;&~6UJBlxBWw(4UL{( zCA#s}&h`IQO>!e2^*so15cH8JC@*j9=H{lp88Bq*lN*a(6?pBOU0h;wQq$Ax?%Uz> zeG)axU(B)hySU}k)5F{5BoAB;zuZvH{x;y~*Vq}>e#SX_f&I7Y0!+S6_o)r^N##y7 zQm;C=&g$jW^k|$tb4DrmbmNx=t5;ikZZ*nt&y9YHyM(WE@Pq7Jqtu+u*}wLT*+2pi zIhv~J4aV{L^I1~U!m_e@_*C_Ebzq5rFjb7}@gfMksRun_S_EgfG{88G`Ww67y<^*? z#J}Vx-KF)S>gZQWfDQPO>YgrZnEdLSo1-qyE1kvDu5WDA-o8GRIx;#cvYC0ENYy;d z7d{^FPJ+5L^~MR&jr%Qp_+vAPH`dta&o@gw@u`U(sQK3wN|X!+E$@Y5?{F%yTg4{J z&)s2NNB`1fzv@1HZ?f3{>&{fm%4#Hs=P!Ih;(x@z{zo4F(}p>RNKVo)1Vbo+x6u9P z+haF8fU90)D>E@?LS)3xy_E>@>!#+1p~wa58f?j>N)XY@yfzdS7p7-nc~EI zp2npM37(!;)xLhL@9VE;y6E~T`l?L$+5-EV_wL?(MBeFrlg#_@aZtoo_#GT|sl`(g zVt3~H24dUe#KeQdN(1g6xFXwN`~ybVrt{t26hS82uil$W`;X7f3Hb~xz-Wi5PX_5; zD2#o-{SQgbeoNZF^})VNV+kW-@cO4kXO`LotV^k=P&|KYwyNeCMC98JT+slLW$&U7 z!$;;1SBBR1A$?@*>sQzF`>%XYAUu>YHzeTfptWM1_t@}!Np*?5qM|8Y*ZtY&Cg89; zzH}OLk(O<+UN*^IQyJaL{CD-s|HdaKE_ywbZ|9d0SL{;B4_9tghhl>T>r9+VGv5nS})fkD)BiPvkeh@9O&U zr@byf7tcLRrRx3<3mcoR``WGtWbQeCs~!Ei!rGB#`Ld?G{iPQ*_7!f4E0rrPWzq5W zuD}CyF?PKhWxU$%YG7B&wXasUW)~yXSLn)kIB_p3c#kEaa+SrUk(ONR`L_{P5mJayb3z}ah3wtb)z#Gvng|A8`p=~sJYJ_Uz;jABOdFB# zw71X_^T+;?JC7B|EBBbmMPVA$R{BOlOw7kJ+K$B>@`*eIL+%u~#~H_a&8GwATpB*P zbc7Iz(h!8%Dwm2E35&Q6;$g1*Q1eZ^qA3)`=DkIQ!1WA3x0Z3}PR1kKg--mj?i1(v zi!ro}MG9TCG1p8ruWxnV{@+~z19Eb5>LJwl=F!HFx%mh(&(ns}8NgRKKd8Pq({lg! zDd-CR{PCEXoyF5_=$dJ6T0QmKLtUw@ukQ)8w&cPGRM?bvm=wOljZCs%#p{~X^YS0| zs@-z%v9a08FIMBUTk|5%*B<*T))li0i>N=hOO1o#bwL@563lalji^n;KY10 z_wV1IpN2N+UEDO_FSFCfS4;+*N}JVa;2G-K+1VioO$+cyE7u&kspgTV_eg~*X`X#Q zDk>EgVWa03x-qr*dF`AdwiELo=AO%%XWu!_!k|0GTdBGObc+_*ir;Dwz8r_kr~98D zHHBc^0|Pz@%#&UKEBeL$zl-thnfed$J)=UNzzaVQ;S1jv%m04(@Af!|GB^L_q<03S zgIK?K8kAkhB}l)S@iE~g3VpMA$yIayH5|PIx7He>xyT(;M<1I zT^ntshS2aKPmqd@mv#7}~N<(>7YoE~pr}ofNv(l?_iN*qUHq??WPfDXWx&i;z_^Z$6=e~K@ zS6*z-^B6Ue(;_C|3l2zqQxmBcaEu{b?XqImuH?1l5a-9ty;$0|&voJ+_}#H7(XP-U zu{ymJnG^FZ^41$MZ&-Tz_cIE@DP3 zEGXD}@HD=jd23D!_FL64BfDlFOwtv;Xp4`2NN<^?JBLVht#kXTaI$D+p5^2T3lRgx;PsU5b$)a;knJ%*w?IAz1GesP{pkVZ_lLihXKUzt{D19TXH-;Yw;sERU1LB*iQgbfL|~-1K{V18 z1r-ZL1%?g+0xC5@F-8y_y0j>D#86c_*fOZV08&P}3Odxm2;&F{+~?IV-}>&lciq4D z&zEJgMvUjoIp;n5-TT?k^X#YH@AwPeGIn3-?zT#TbiZMTDq`EX5fT|_Ad(8t)bR}+ zrcPpDnnvOM;W6a#szz%^mY+iy1XIATQsd?8lYCSJm^SOCN9X)w%QiCxSRvLwMvc0g{ zVWt7c3=3Oo{~Tee6vbOqO3G*_!|(cpKYdG{lcS@DSbmxB@-uSPXXJv;EK2Z^x}ni< z_vG&y<(`Xz_({RC=~m_<>jkSQ%v8FSI(*R;t^^ei%gO#h&~hau%U^4ZoK!WWDlzh- z6r+LU9<@-4UoOrwZGP||n6OK`PCs6DgJu&d$->r$VgND0gBOEwri;>WMq6_zDj;R+#OyYkkd865$%<+9)eU185t;aO`4h- z8XW^7o0FF6VC}*WlEh_1#L7zg2JOI3M_ISsYmgNoqTxD`Hs6K_6P*zfOfdr*(*(g| z%c!k2#?Gp4G%~zHr)++`@)6(B`3}{LYUkKZrBjTO*vU4!8God|Yg70X?c;R5LT+cx zvXSB2C*=EOZr*);Ygyi~Qbu~ZTA2?1%Yr5coHOLPTvTTGHi=d%fly$DA3`uIRLsM6 zi8!=xHs3)}Or&p_QmCzle7p7*I=$_VlCP?I^M~Du>j$Y6Nxgt4r;F`%a1|EJGa%qO z1D+S@6M$XQ($H{iTrkJt7`eUZlan~^+Eps}rKj9fH@XKM_6OJ18*He4bg0Ci)kI1n z`Ddl2*}mj8O?|6RqOe0-f!(pHz>4mm*#MwkYDKZ=4C4D$RA}*w8~{6WX78ee6<|J{ zEPrCyT{Co2B4K3UjI@VP+Hh&!YWKpD$@jiSLgfQ6a(^6Q+=_KO%CZ-gcf$ z*}XE?TW*hKI*g#6#Y5{F@MwAYG7AgZ-sdoO6Ws9VgoGhQ`Poh$JrkuitFW-CE&e^0 zH0MPLLdKTP{8=qb@+q9^2De~g-J^onVIu+2$;ml9v?%8c|RD0o|)3+5xO#v!?-$EaPy+a6~Tn?ZsV_9N$W+0q2Hy*)mUXYcOC(4YaT!x!DhL0`zjYE+PJ6 zK5YrhuBVxWbGnQcrhmHjh{Nz)w4R@Qz>Uv4-4hEm;=&PSB<=++qj#{!Y)O=cNCPAa zB=P+hj`$SOJG^S>mt57|?TrD>*-IUS?I?{Muga=h-qCPJ_)X z4B7kz#AZSRx3IVaN2SBiM|iL|gzE|(E|P$N*qFp35bp2#3Ef7z%D9ffJq-=7hBx-h zdX$uu>|k#dU8??byrq=G3L*dJ%WoS47y9@lPK}A*z7(z1!~Yz2N4m`NYMhIZZPcYd z@{ipC^RGE&MHH`uPZ$efPp3#^?b-pPYg(f`6}AI(ha}_Db7A!mc&ICAcKSTD#h0e1 zLz~&M7g$%;9g*%!kF{c+DY$&A10|LB?6lB`8Hm;wSLH7mqIw_8DGsgcEW5?NstWK#{>2pbJQc66dGPBSBPC`W&XJx^|OJ&tjNv!Dj z_yNUGm3Mudi)4AZxg7>73(ap+Lk0FWl0d*Zf6tzaSdX}Yq!`sSL2M1R@0soexwx*qgC`k$gR4U(#UhxO(8{Vx-GwFar?#`~avg z>Ze}?g9RtSef;CmmA3AM6;Fq2w`mMHWd%ReS}q(beq7x&@|%rz;mzcPhQUXv^tn4d zoAruEx+{(YTHkoa?}wEQ(7W;cD;RY*bgEo7T*dhjA55~%b6a~p*YzM?4VCAZtE(Bk z$4oGdQQn+a0ksbv{aO|k6vBvozIo{9=%>lOGr4~3Ye`9O12+n}J}R0Wl&%fTHoGvN z!*NM8Z%8eQ+m2!r!_8;_GnC+rSo`*wyQUJ%JAUZq)S`HVeTON7kwGR$xncwdYLQ9c zjL2v?6BT0<{*&$8$_!YL06jIDH*emz3qwf$lCd{|#Lj#7?+=0#0o$usf(n6Ui474y zyj@s07Iu7_J;5qkho_S6NN`WTtZ(aTmY~YD1cvxXbM+|HE0e!Aj{Cx3Vv@8CCj2YC z0*UJ{{(7?TUO5&T@t=gQTta@{5~gV`{mplb6LY9f7p_y@Y1n$9gLB_QSZA2{tate> z8Q-1J#V&P~F;i-;s=e6WuMr%vsVNn{AJ9VCb1SeB0CI?qic;O%9rEyZEEEz2BO_Bm zmYfYxsj0o?xjb&w%su+& z_m9T{H&VKFgBOJTpb=TkdG8^t5_2+F_e)up?GkL4@VKL6&6GpQ`pX@j~GFl)iIROz(df%FvF&Vt3|fU zaTF^#4j6}E{O#?>)?zd{05K$Gu)J_`aA-gz^0TU6L7@b{E&=@vK}*%a*PsZKauoSP znBO!6nN@+LBi0nyW37(Xy<4;=F3+IE1T0t2_cR@GK&mbN( zsb5TVlA~RS?3Aj|&D#ex>bG&KkEM^=d^#fY?t(G09Rw<@Dr|ISU#lyol@~GtRq+@} z``9XUM}Z7)1-}Fk2(D60#VxT(VjIFq5ZVce??$PsPT;hcCFm3iMYjzsC?$fuL}-5a z6+CH$JJp|?w5KD-?90+djgd~&Pl){id!BdYDf1q@MEl2r!q4dB+Xe8YMwI&um*%fd zsn*J_>FRhcd&x+%=VNt&LhcR)h2EHT$*g)afc)svVlO?*cgNW%>^oRod%>63cKA*M zW&?00{{oTwYWF!_(vs756j?h(kLq7jzu`&q-};+==<0WQ8il7dGc&Vk{Y~IS(AOE^ z@`0&jb_rJKuVuAfh@4z}B5l9KoF7UKW=E)ATzBNb0^2YThGAR$5&nBaW|Pab@xp}* zzYEtz(?@S+*BtUK-pkLGdG(KzTy^pr3a4(u+j8NTj}%$_$=6S3#pZnf^^;~eWy#l1 z$yk72KbhcZefboex$4B1V^SV8EzbM;hp!yxANl&}z2bikx9#GWIU|fZQ*1X_vI2O! zTf%!hLW74!=V1iFPU6$fPBKG&+2K~Um+VB_x3_@*38clBc4;n!`rG7U%CiF!b0{`@ z-Z@xPbUDxx-G!v_-!Lg9_ioLvm{fzBJ2;}}CkHZFms4cc;uMJ;ZlwcKV_l8Hl?FUVg+ zQ&FFZG~tcgEXEq&L}#Hcj<$Q7c@C*+_#Kr2Wh9S4Wz4&ek$~BSg=T(2eub*Ya*BxP z*AjXzrTn+e7o3AeW+iIZgAsy_ zz7)5>8-1I-@jKooS~;VGeSVOY$r(C7=hdm3Uw3Ota4fEK0YL#tqJm8ig`ju4mwkQm zb^~?b`jRADKtbfedzo8PQxi$AM(Nqo*!Wr;#1xI5O_T=kf*tEN!zQ#Kpx~K7T*?;azd1sJ5T( z5Bk|W*UB}F2DFXciK$E(aK%SrM`LY>eFjxK!>M$>(;m_S52Iu9MJ z7Y2XVfL6`t&z~DB!&V_fl{Y1YfyEbCeuYd}@o81f_E^dfd(w_+8QlAeBC5qYY+~xF zNzq*)ko2a_TS9fi>cT5Zy4l_k6Gu5dM=yW{R9zv1_QTrh=-+IZp&Mgqy01?k0kgx< z#3ZTb-hPSdn1kXXHewoC5v;$CS~>Nk*c|=ws)1phhozHXRi^FLj|+Yfq-ACfAvcRm zi|RZSN(Qq4Ii9vS6t!BQ0@OsXoUzbO`NdZ`m&yo{wPC9U-3RHj}Qv4#Opq@OVV zx2P(+7-j616n|5U6T2&C_e4G;pZfJHn)+H~M*e2A?@yWmOHG!o=#w^Byl>0e>O_2f z9P?i%c=W#E$%e0oPG&FtzvKVKRYG_{^?RjEB?4Ph^84sA4JG~h5hJnt64U*9h;LUk zh{FVL2C7c-CIK^gURT$GR6ZRzqL#x*9IH?gJ{ z%$-x0q+w3nRC_s&uC6T@)0PbdD4K@>kW{v!zLb5l^-YqaG0M5w-|OArd+EVD>uQW1 z$qP*9As`l{f&tS*)?5UDUd}p>&;mmqh?oZ5udKUw4`TD(Z*AT4r?_F_>#!k2;f>?x zv@j5q9L9nQ@r|Cel9Qz1`lNoqcuu|rl@+n&+#fOe%}?`9@mX~FT$!*e7zfP0phjrk zBDbD&SH0_$xDIf?LG%WyqDC=>yA?Jas|7{{8Y|lFxa^BC6Y!moaYP`e&znrQn zYe?V|(4`~$0t8{aV}*?H9x2^jehrjx}|$H8b5rJCwgMOCFE<2ffwlfE)WJ=JG*!YpXy3RB2DNtW-Ulqaxc~<5$o>Jy7F;EUkJ#p5)`DGGTE*ha%{c z`UC=ZGcqyZc9wYE17YGoc|qYAbXW%vD{dg9@+*W^0B-b|^vQlI`f}{>(c9TMFHmi< zn?I33?AF#2Dpyf;)g^0ntRsX$LMkF|I2<(``w$RF_{DlO=AJ87cJID}#cm1d80i=y znMj;sKZ*l8QPKdAATv~`RTMDgQ-}QvU0seESx5lTKJvT#R^PorP0o7{SUx@NRU7%nwP4c!&I zpcq!q4aiNProrPm4#ib75mRhixj5`i^lRfvm_MioC98R55Z@8!=TXw_<>v~?oLsDe z*Dz0Gp~hIlm7}g*swC^%Lq-DLzIAIC^gY?+%1||14A(r7KR~UP8cbC=AYryd;4yql z_xuXMs@*5Q*`!N$M&R`eN8I4r@jDt&2TE^`nPGXb%rXa|ga1)Z&Kw8@WImm0Hm?33 zkC_P7hzo(!jdm_K69bB93azl($i@@Ljvv)GLi_Kj%G*wQ;%Etuo0gJZ;jXw$DaRIb zu(lg`q{Nz6d&`>U(+yeX2!fes?TnkNn{y*fom#)V8?4RtA!2H!WLY$A0_FgDZYlIH z<2K!Grz8Q~U7Y!=0Z1jO2nBLsP26AQL1>nr=j0 z*Pd^4N#QEc%`CLDBm%~-dvQn_BrpH!bHt+|`qZ!jO6x4#L8c1c^+t5_??Q|3+F5)6 zRxiJm1*!IU!G^aH5{llyJQ4#@*}|4A&|@LdDUd}UsKZnVw4!*lfL_T(MEaF znbFWW+XgK6OLB!Q3acT|23l=rv~Z1qX42Sk5biX9G5^q|v$)Y8<9Cqos*!(F{aZqS z5|4qkpMc44FZFl8Qnq{oRz-E7D~HqA80Mo*!#NmW&N4s)dIv3`Jg#yF;X`=I9Lak? zv|kLQkql5}-@(R7zGt$vNY`0Ea|5^@$_PzaZOE`$IXTKzGlJYYA`0=sxQ{q&)%8~$ zAw`nX*6zVj)i$_lt6?6b2S=?*Xn~YD9{5eXihFWfiB~4xL*H6Jl(mQ!dN%s(IE9EI zEWCFx4^@^3{B)BX9_Lqp`?4|_ls6_$HV&~NL1SEV7DDA9RnVBgK2L6J-@Rj}mMVGP zY1YTP6+&4;5 z!^aE)r3R(AIKKez33164-%#qTzaxAw5(B9CvHg;A*@!XSH8 zm~h;^q6K4IwfSm@nYA!y-yWHe;EcsFkzF;pZO!sadM6dPB)J)b?oykeQV)7JhwNBb zxHn+Wy<+kv*V)EUd7}XX)2=yck0+8fJo|oypy%c{^XF!yr9FWGW9RtCk5+w+iJloA zi1u+XHfx03Y+Y54JCGjFLfGA51jj0&rqz0`zG%(A-<~qI=l{4p)H+ccPQc7RYx2`4 o8|VF}DF2eP{{JHoBeQd?O6*_zTYk?a-^gIkzMpb-o%rRy09H4Sr2qf` literal 0 HcmV?d00001 diff --git a/recognition/OASIS-ImprovedUNet/prediction_2.png b/recognition/OASIS-ImprovedUNet/prediction_2.png new file mode 100644 index 0000000000000000000000000000000000000000..17f1bd941af9a3cee6417e5da05d5aef3398f9df GIT binary patch literal 96391 zcmeFZcRZH;-#>m@Maeix$jE6+W@TotkO&#syU5;zvbWO~vMN$`W$#UqO0u&;WbgTX z9oO}}@6Y}F@Avrq`Fq@-$9Z-2adA4%_wjzeUeEP9!qwFjFPx)2heDw)+*XpiheF|( zqEI+-glFI@4Ik2s;9sJy^17~?4py!nrp}hAJEpFVb`Gv~56!N)TROWubg&oX;pgKK z;=W?z>gwns%FFxszrTaW!P%NuwTxK{-i63fNzVm^A~i++!6}f;e~7|Cp>E4bYk6iY z*L$UE&840A4>gq3uU(p}|Yv-&EAiYi*CZ zt<+>44sb-|2AEQZ{O6^>F*0)t^*_Eq9kO_ys`P(;ODg$=^SZ>XeEVJF#v0$z#PUL@n33Uj~Kxshxf8K$(HOfY}$?Sjr7KQ8FCj9^XE8s88wEue< z|5>sBU5)>jdxM!eS|QM9rF!0zH1BT1!C*;?eI?_nDIc*5n(xtf4&Uv!#usBx_xt^2 z@&d=IA2P2#MpgrNP1QEPNti-{BCn*6|34eFYr9aLu&XoFh+v}Vh zoXO)A4}QNRPu-&X@KSvtPE$GNd|u*s>)Xt&I@3A$=3s?9k?H<{iFfN`y?ps+w$ft# zK3NHN#4^UN`t8=*Jbrv@qIF5=?foJ%Y=o(rz*eUZ3O*bjD?0qwyyU4!z>CX5A*O1N zjh<|4`|kG|hZvP~x(ykIE`H0GeLHA2RBY&ZvOmARkQbW^mviIBjZU9})|R{e2byE9 z-|kGWhcfzwDKdEBOYV2y<$L&*rObEa{X<1Jx)(k)zrRmkYTP4uWNS+v*}m2%w)$&8 zk+Ho{`)#RtCy8#+5A&Nb1m~%)&_=h|Tqm)q)qZ<_iqwBk)`6 z`v07LHQk++@yNF&4YY6xo=ZiQ>i6%z_C6VEJh^eQ*C{FU_V1`G14*c9#c+sAL2Ji! zd!%;kXDdMluUT?#qq?fQIg4@<)*+@LS(d%YQ=bI;@lnX-b8v7pIrtwwsN4FgQuX_} zt@97YViEbbgDrM9Nf#wTz5R(>=`L3V#hIo`OM9`0lF+wUrWl^79goS)#T>1LO3I05 zQZ4-*tt6$5KGV4W*&tUEed zTKK3v*b@>Kub>8Hq>lNY9utPPdQOM4JGWg$eOcPxo7im#EiB|Ji~3zs@3U*RzcJ@1 zOjos1vxM3j3poCDR#Hk^`=Tlv1)FMWz~s?yA$3Z5yStksu$$6c>X!ExUihp$RmhWm z^5oV(oAR%F>zwmc$7KgO7PQ9W%dwqKhkq;c3JM5GLh(`zoQY^JUyj{4_olPVWnRs| z=kJF#Pw`YC2Zn&0OrO{-p{J&)6e*kil8jP!yWNd9ZP*f;Wl3)ZacaJ9vb&l0@+JP{ z!H>!>O0BQ7CN@7Oca`NV(4Mi_KOQQyaa!iatJvO}t#Nm7mc=!yta{DjLnIl5EnKA+q<`!7uQG?a*}dS;n?h ze)F}=RbRyqE5;`qm+%9n$DDhwg|(Y`?oEX{!PYiE-1*DF$+@`89~lv`2K#(kY;vE3 zr}4qo9pfh#%{yb-Gelg@yf@@ZYKdo6;d7V}hsAGvI`}9UKKX3C zN~zzmx9{?(L&QclZOnnw6tr7lcx+1 zKH4?ct~Q(xY(}B>hWq_Od{*l(^``K4Zp`(rce7{xYB|prVJ?-ZAi9Z|Asr zwe@l3c*xhU_k3ZgJhumRoJJp4PCb}BpnCrN`P%Pvhv_%@FGQzLBo3DaKV?ZWs^wF7 zOn9*qpTT4BKXS@|(&!0W&E=$H%zLQ_wpG>PN^P0Lq=fj^7uh{nlSu0qURF{=iKeMI zxzK;M0@+`9%HU-C!p(`u<>LeC#ZK zjm9|H2JXX_BK>Y29#{YV{X5N$4iB5RIXPI5^?x_=yZw@}7K#J5aml0oBpstSHrHui zH8dD$B(`pjP}~*Ax{NJXFRs+C-bZm5AC3%ZEgAal&nZhwKlQA0Te?pW;Jo=+=zmq@}OUU1ZS zx_g@V>>2L5S8=76>r6-VIn*4Kr}Rhre+J)b_l}N?Q05I37`P6|E3+k#FCEXaOKPAv zgvJ~Lbw9$!8_Y;new8>fqK|y=#g&!&^okQh*DA+yx7=&fZ>1Q*XO0-K(SqG_H5rN& zCrPNRUa5(6-v_<-HrPM9m6Lw8x!)Ekv-(qZJ>fuIFp%lu`=qh{*TMh6w&%&w{@!#X zuk(-E#24GkuS{uj3{yZrvt3a418Q1RKU1>zt;-%C3y`E>|V}2bef&c z7xLlSi8stNy2lff82!9sJ+7 zb{%j5m1W6CQsqFM($?0lI{5R}v~qMEHfe!Gzh!^kDb)R6&ef%!>t?R5u3=fQHK6;N zA0KR^0^smtuu8vvJaEuX+S#`58->Dx9E0Oke@6St2iqBSB`5J}`DIq0X_2i!earj3 zuF?JbA+{y;RI7EHF{y9E9sD-a3(Y^no?djNJ=|SoTwA9JS(N-|QL_2dKVv9@VLyw| zoJH~3k5y$@&UD6ho}R3pl8o+Ahlo@=3Dcnh)HxD2$7W(BV@&wMe*C!aJ9pK%+smkA zD6hQy-UqwWlVc8E-b;t91qqV_W2ss?I&T?##2HXh9v(s&YV13!lcYuWBl*oc3Vx*X znYLudrp1noj4+L7eUdt1<0BT_*l%S#30R-$l!bSMG7Q~7{YG1tQ0&TZ#aX{b#`gAh zuifDvKhFGG^L>82Us_P0^eMJp`c;%>z8d{cqHP%;A2C>^iGBC4FK>5Q2nc(wU3smV zhDqMNkuOLr=!<~pPuT;DuCg_f(FzGd3Bh;)fLua*=VbKs^weYtQJ4~o$%ZFhl{eB< z6_-_iUao)AIyq!8IO?0`(05sln@XjxJm!|kk-QCIvY{m5os7O~I5!<8q5xZj zTbg%7H5VJ!YCR6Cd^{Qgg-7QD?;q!c)e!g@%}BA;I*R*mFCvBG%gD&{%_FIX3&st; zB3~D;`<)(6zD+)bq8O-ifFrTD8`4e*LQo?;C^KqM{e(znexA>|tZPnjMQoImzQh8jX9Pj)JG%Poi+PPR+(ii$48-rAvt z&6Int|Gh4Es<@ZH3$NcaQH+udMkSY!{a4P7v@SZNqvdD$(GD57TtL9gQgJQGxBR=I zxg0h&Hcj8|N?s_spPuk7KKA0(`@iZo`&tp?xeSO4zNz#14cj%i@+oL;4P04&UZ>l) zl=y95MUb8F<|n~2)7CTJ2L~@4h^t8+yBfHBzOe_@n6Pm&7U``H_1jc`mX^-e_n)-5 z@V4^FwzmYIUoUcaa(;K*gYl#Nc*J?$If*4QM zLaP9iIIg!}G6!__6Y7hR|FIh-71fRxF`QaO#wV0l@4st8aKL4UI&w=(%by=?FClHR zZoT6&Dgde#?!v>EGK+5Xf~%;(lkGvTU9Z*p-RaLllWlcgn~u;$;9SqFcQPu9GjtyB zPD;MN6b?YNl>~@G4AJQZ@9DD#4)qrsPmfpE{ZCg<+Y>o8OYO%+6O)p{-PrCt4{AJ` z<6S#Eu9}GvTLZu}1D(1Bwt@4`uJP%%aX~>r6Ew{j+v4go{cv4n;`AY=3S=op-kcvD z;LA`6ZGXILM%w?VLnA$J{T7<1W&z_1$fADYeV5G#{ko%#-o2CE##jU!O`e|YBJfds ztqE@rTE<)bU2Dlh8e}`n3|nWl!%hiz6@8**cn;^6|H-^R(hNx7>XdXK|G`2ae8|Y> zZ^6zmqvwhxwH1fga#`nE*6Dthjje6#UB3;AG2kS+mG<-v8%ZT5D`VAW^$2*81Zq`g z*-Le_peWfgQSXD)^QnwKkq8ciK0qz$C(huzCOziVNsn-bQnU7RWqlWQ44xtjhy3#G zA>&wBfY(FEchUq1E(_VWeSf3r1Yltb;YN=hJwgB-_6_vGb;Uf#uK*xgyBeMxA}8rA zgC|PzXo@s;*YUrVg;WYM_x~@t0voUYUMnNQ7*ju6eM%EN3l*h#odNCgOaQ*d5z(@* z^XWE0KNg7F{?tAevY=6{rmf`U(JC9@7{?|w2~3K#>~Pxq)t6U-Zb?n>is^JMpQT1 zBIY>&Oj4c{6`*INP#e#MwmQ{?I%=&Q!98?r-ehj&Q}t8Z+Q%-^gWz*9I5_yrqAQSO z?Q0H?AIm>{_;BJeuq>XvW50EmwO`HV{K#j)QP8L9mYP>WE}e$Q)6arBq`O}!oiQyZ zkbqkuc)+F&mUJD!Mz|#`1X5V~;6T-lrmC_DXQ~a7w(@=I?)tw!FQWbH-y3Kzj2GEG z6(hFN1Rys+uwR^_!n(f$Ay$sUQBX40JxQZM1*mFuVL`6>pWkX4LP1rUO4k4fJFmW; zUh;6b|I62}&!9}w!*1>)nu9A7xi}>fZ%WN3DK04h`=vEpL4$J6lk}NLH6cE(W3@r2 z4>e#l{JrCogu-`0$nu4p`}dx>lz)!>WD1w{zgpV=m4E(MS^WQx&YEckq~sRVr^2jo z3igP3^D=7t>NzS(O3Ef+4Rbw7h*TECYy~IiCQ>c_yJ%uj=XLY1XuejJc5$iL^P11} zXmbIsBxd9_cku`SMH95g=-02=5V@e!={>Q_25_D1p{1O`jqhUj{wdf0br?G@AFnf@ zT$TrxwmGg{`>eOJd$>M%dOV4sE<}sKL%r~vCQ^NVod|S~7Cq}sw|AjEpiO70v9}ed zvf;^VwB2=B!V6HyTXebgd+-02vwurNjF26kFacm}(w^R4e(xOI29}7q0(|QQOJIyE&m*2lYHfRHK`d|9s=6t^*RDBhd^HB=S zWA>Gg(xIfkfB$}~rvJa{vX-{?g-t!aPo^MW!If%gYX@&^ID6I`{ru~$%S}a19O6eL zr(Z2uvHd*XZ)SW>q%k6W)?m%#W^sf2;pLx2rV@zba^r z(tNnwa{Bb!>pQKW)TnD}2Ey{52Dh8he3w{-!j3?JX{Re>zet&gBO)U;^!2&$pR2M3 zYHfoCmPvy>p}Qa`%kJI%s~s`)=Rwx85Fi2wsm>83 zhk2^R@(ljsDbBN#q?WHe+RIb0?Ej`Mw&%FKlSz_yRgveaYW_Eo&O`!Uj1T?qpRND) zpMP(d0xq{n=5*D#J%WmX&*;{9@$VU*lV=&jYE+^_ zsG2yOsFsiIwjd+K&*nH6-~F=7FJ6O^0QtBCmkdy#>;U$J>(b>8DK6$&9;>Fv%*;%^ z{t&(8ee2#EN>CZXjt_U4(cw}hL#;N~aZxQ(rDQK{CI!OfaGOoYB65+h+gG+e`hdw) zV`hlWtF65}U_%*^3o0#!@?5wJPTbHjOQeQqCJB5kNjZFOwx-AZu4M}Tz26t3(~FrO z=MO&8#^@T$(7P=EXY1F4A{ahBJzdw&8S(7egO7AG-4J$C*#S^aHrSHPmb9GHgY=R@FDXCIPg<>pDe1RO8QF( zq!A+vQ3#se&r(yo_-+a;fA72J6Ux;=UXCUR`;`-$%{L8%-RuJCH zq)b;`TbrO_I7*2HH?;L>ON$I_dpc29LZ980;Qo18t|S@JOa%;9UF3rS&!uzc&Seii z!YaQai|xd!<;!!LVz2?Z9MDw(WXo(R=YNBX2k}+}XL&Xz*U~l9qWLye!R+IOx&_6z zgP4SFsr+wDnQHS@4YR7;?q<<+|2a}9I23cf0R zbplOBkDi2B?hiO;KQrRSo8c(;j@4ngE9e^0-@_fQT8} zmN{>8b8!)NjF4<~byWIiHszy&<-XP38PEu%plvuxVSmLN@(exTd{M^}F5`SA(crn# z((7*z&T|tMV7RbNC-k)9<#$XBI1%H8aK!)2bGWcNPA}T3RrLU^TNG(@q=R?k8r2vbV zYyTj^*-$8&0D9NC~dTY zYfIjSkiMGX0;N3pzM7nd26>$k@0h*Nd;M$A)64N1t*pEGVr-{8QTFmte1Ae8 z)8t`*kyyP^iRjSslenf7wS2uc+#uT(i>LpEkJDywo>29kee!yLu*5Go>u8p}(^;1| zZ`uM_Kx-*L<`8nUO}RWA#j}CU*=RnS<534iv=WR(yyBT;h zPg|z~I%lMB-zIw2d?iCIpR54b=C5^6lbh)p8X8Zft^|Oz#01`$SsB#XoQ4Lta@;9L z;m&=^aJe88S@m#+Xcc#o0cuV`Wj`aRFX-?qX{r&Q*!K^kp42@hz z=MwxNbR}r#bR=hCmq8aXE2GXGC~%DKewKdZZPoZ2&gX`}$k|NxTkP`@|GMgQD#Z;4 zkHo>IJT^K-oC`3ds!i$0Tlw-u!Fm70CuN`Q+dRfn*OeO$YXSbrxV@sDUK*i@hiIk} zTLM&tg@pyFJ9jSJf2aEt+_snZI9=V`h;qVXtZ$}It$Tv~7XlKB*+iWe>i33Q z4x_VGcPEo{gupAC2Wao|&8h-dKFV`BA3j{H^;iuVS^|a_1ee%5_Y7WukKjVP+BXi5 zZ5$jzCszURP_kx}=@Prw8WQ?6o2UyfEr_a%bC2pw760AFzh6L~lBHJ+; znjq;a<$r?$lq&3mL3GS&m-!ax5gA-uS$X9mV45Lf)087M5NIfQ!oZ(pa>#NAIAn6- zxJonpluC0yu^(XjyX|g9ss(>vCk-I0@1l{9vtf-CWZ8i|%7P}sUXvf{FySL?R_JTU z<&O)KXId;*C!}+KgcBN!LGO3HxkwT^Ffzi0FO<;DqAYNgiwo?4r{GqyB;0m729^EG zj~^ix0-OdWvnF}*Dzrl3_Ol;*sD6YkTMo|!u}p7&y!8*O_@s`=j;3%2QK*Vx;=txF z^9L6%UJO&nLj{=d{j}b^0?a-q0DN*9GbKuFZ>x<6kt6_*o9P$8wuE*8n-%_qt_Q0^ zed7@&7|j|62E<^ecPFr)=V!($T}kLBEQ=g7h{(-;`&OkYSX4|5t~>%tC=h%oy-aMc z?s0;g$z&l9bvQA19Ve9Frq|f;WE)oL72NbItj2g;}1a-@3xgL@V{i4F7Qcv+1 zKz#UI=u%a-gh#&nqPX#SL|vcL&f(*N@FJ_JNr4nL1A{2QzEA?-1*#5HhQ`Ajqms~n ztU|}yaZEb6+!(4zA`Nw_7hN}!?^gBbgeVO?%g{Y)2KOHkYfQHP4CWTI3pl|BYGe)H~P80 zzW$f*-|;I)qaz~DEo^(Ynehk7Fu`lUuz!9t{HqXJOX-NoG`I)nX=}AAWw9CwX84x; zGt$ghgAs)m@+9IO%V)zf498h9w}<2zRJf@q_BFL)l=SXjzX_ld7R6Qc+Spxi!WHr~ zs>)Fxm?LF=F8*Yp#+J&_=)-;lJOhm(H{BF46_hP-%k`qI;MD(7`6fV8gm7 z^3Zqo_2-vtIE)#GqgfmCb=%BRr{wd$O(FDcqP3~UZE3Fq9C`B=aFw*C2a%M6L`4bg zyO_Z*ux?t2Z6OQD88?8A{f@)*MUetn7X<5TYU06%2b70!J_`Y94N6xJk32Z#hK7cS z_W=up2z%w_0>DGwfB0Yu-UfUz`#9ePh3a7V+_`(^ydv6jsY+sgr zJDFLpqLwTol_GT5aD!%PRyT_Q&H-GbhH|_< zPTuZEA0VOuohYpDDfCrY zoZ?~YCivmU1yL~{yGfYY*SWF+;rI=2}m%$)bls@vC?wh zCNoaNM@}v-^dZxH2J}|&)sX`a23S@W{4YM|&fF|&HZOk%V9_?iGkAjZ*DV0C(?vSN0 zT?hC)A{Ou9hfn6V`;=*asIQ+sVS^+C1M-YA|Gh4TVclq&Tf5ni(X|FS_pWu0I6kI(Bw;C{6esT zN%`v%fD;rQ578%{%b)sM<7NLWdOM0RwGzj`+Wu?)RQ8iRNMOHv|JLM}FIW6LaKfDJ z6S{*2@)SwCf7+~^E?4w}3|?R~G+=WbprBd9DCA$_=&}&+3{m?7M^-@V?%U_ygAk7i zFcl=HLd9zo1@AC()p);$eAjL9Rm#p%D%AYyY8up9uki_b-P89Mo;CIFAS6mCa?au@ z$K^lv)|I0W7m^DFS{4pPAu%NdY*{p5ZonU~#kkI*iP%vl@J#|~>Hw9XX#};JF8?gU z12`%3CHLJ`Jz>niZTHo#{sh7BAVG9c7rh+rrRtPfXDLzt;TwtF7S7HU1)uoDvNJOb z5>4fcuc5d+(Bbyw3v#bwH{9aIcCl-67|L*C(M+|fa)??$voejrzwWJ?o5792UcO2d z$pp(izX``FyvYNu5~2a1h3xrCxVpQaOQHTU^Bu@1u&Neqh52|xDvm}Y*J8@3yF+0r zL^QAc!B379dHM0;qewoFp{(i)=BI z^O`#61HhUXEScdZKuypil#loUcmXyVz0=OT=kB5HhMb|TRVp3V6irV za+mZ){*}9HL-`lk(fCrCS03f&Vdd2p`6+bxcjuWRmB5N2w3&UK`;}%mhjntS+cKC% zRpX~0oP3#_vFfs;UR%G5&@(Cr+8k!_sLP4XCWC<#C-0Qfl7113R*6^B4H2qY$m zIKtc6-7T>dNTZyK5*YrBv!L$+HDU`C8E5=AAX$hxgzADQ13?zmOwkWR$Cl^2hfjs5 ziIFrC62H3M2e%Dmtoe(j8{tFy3;m+j8BS+Vzu-q@Ra7GXRJ)2^Xq=qvCl@4k;R1y( z0zeSdY&`JL8UJZPrkfR<+vudS41f%RsGoC5-OQ5@!A}wn?^_ zujVG)iqYE={`q!Cl`R`3e&++x-ZgBM-uA!84k4F&CB8pv4rEK zaFaDnh3W1SY*^R6D;J}*5}T*~ttAJ7<>Xs1&#%yt;05dnF@i|*Bti!zcgEBK%xbfp zafthYuXw+?1?7 zv#OYZb_)T(2YFDQ;cOt`4Nc7i<+|MXN?36qqAiQAh!_C>4P+J!ab{PFTaw{{jOm|5 zfBAW42gNzp_tD&#Zqsd+Ggy>-wLy89{Hqw2>8=$f^a~rtjfT0Io|tR26iLiIdKT}C z#=PRj?x2E7701ud9q~9vw*%a#8rWuHzvL#DSVHc`{j$6dkSm=IRiwOyBeqpJZ=eZE z>Y^*WK=Nb)UX7si-ql@ZGQt7@yYkwLJ(daFX8idW?|O#0xj9{kZ}8M_-Q(7OPuMSc zDh_NJtbrt)l;NINAu7q--RUmExDaT0s96tQ1#Y{7nm9F^!2JrX9w_5uR$$PmBeQ1%+@hsgP!$` z+gC0K>jL2bV2>;|lqW#iW>4ykc=1WlW`Jwgz=EG@dWwgD%U71O>gBrJ5Z{o3iVXV) z)Bzxgpbp^Bk?^L}qV&0`u!5}CN?4Z&18o*=EC=h^9L>Tqj_O<%F(>N0&#bJVFa2W@-rQ~9 zyd}BZ)OIuSc}xn&qwBN)jbLG$X4bRcy(5PD3l(hceO_6u0S^dDr~u&CAQt&bFoH}1 z>KFp(1_xPt7%F5nIm3)dK3b=05&+}VtFW5d8FdI9x9^1Pulz8yr^bv5iSS<=DWv6M z+9gA8Ma{a^?(C-yH-;WFC3KrWv=R~~T@OjhATj}Zs!SB?sM~GxzM-e@c{`Kqic}$c zL&al2h}zpoX(X1{SUcM6XHMw;g`@-B5-cH}4LM;mNX0=aAv3HH04eP6PqhshMBceq zbcnvpe{8n9Drnk*Z#Vk!&hj^_3MU)!)+m%(Mq0ROjG*&y_A=SmrESc7gg^=0V?Os~ zT`euGrYT2=)PnlnV#0?g?qq~v&R_-HN8V#LLHz}~+Fyx->C#wE+IMZq%GnO*#snsI9 z>6}%NPeGIb^|!DuxM>Qy^a+O~paud&$N)1*N`n$mBqADl&L!!18ye>gm_U6hyaxy! z58w}^I%eOUf@UyBs0*1PQSf8LvhPX4y_xV?4X0Ww_q3`QMlv3Q8_VyCyf%L$*h9>H zxoJMje`0k8_8O8BzuLHR>OOT%0X>EMjp@c+z4?FKr{$_SmJm5DfyGVuA%q1kal@UQet+U&YLI@l(|wXZxOM&hR&hTP`*EkjazlCyC3p!1da?Aohl2$Lg) zoQEgmvlX=3^H4TG0R}k{JQc`h$`>>a+l4?Q9nvcqinLE;dC|@IdUls1QukB0^2aMK zkb_1@sMnBTweuW#@N4J|Qwo1bA5_}QU#D$<|M1&E{b!)}-q)nDhB}J0whi2Go8z9) ziSG0yT}5)ASHL~FxOI?QITT=;I@1Y}^hsNq>+MV#s=o7Llg*G#%QPMK04g z_?+n8u6Q*)!}n1?Sl6TQ8LQ2igWD2Xqm}V2O|RD0#ddJbhhYO)9&{~wd1V6EGLjr# zRIt3sVl}Yzf_Kf3itu(*yzDVfm^l`eti(bV*_u{3j=`u02+X^}hRI_twPvUqI5rc2d|rQ!PpW@R zh6m#%(X9x%AFKWsMfzZI{@S0+9Y;B{# zA3w~-s+(5TNugz<`hz`dRIgPgcq?6xQ<>6{haQHJBhz4Khg(bM|~}0qmo3 zdmW-n&h(OV)at^b)y_)GaVokTRT&1lu5@~FSlNN6t%e6m89BvXvv!zJYI@_ov>a~s zYHm%Ehbfyj8`bEAF`IW=vStYx1PX_kGDY|J?qOqBHN=*S&M-X_C_U#X0Qx~!u1mJ9 z+B0zWf?-bs9|H0Wxmd6e*I-HVN=wQ9<+;z`?hhLPh6VKloDDFwAiJvw4HWTIfg1we zC0_&iMLtY2+{X2<1&DZRuF2ebU@T&V{CRz1gzqUN<#JF9+0&_s{k;whZW@wr-Ch!x z_o=u=ioak6 zx8A9nHD#6?@i#&G3OPa&+jOve29xXpXG!Rq5K|A_DNum`Ffbv2fmglD>*Hpqat#=n zkehD1i|Fl3Y(v^CXkbW4qxJBpbi4NxDsEXPe^jMsDxr z3W%clQDGZWB2fktLMRQk+mji+7}D_jv&mm=uIJX8?D%nJg^y`D2Z)Drz9%8_1^%<> zs&8SAqn@er@uz}i;FhSy$)#&~w$d}bBwL?W43y>-SR-ezB*fkxnzX72-;mL>c=@+n zj5egzR3n+=Y;K1c|A1xbt5*adJVC6>;#JybD^OISyFeFj`s;4~KN9;1) z46}^0%@zW08tU^&S16-aw!Np^YY~UT$S4Nzuy(%mx!=%Tp+vR7XGCTv-hccE_*k~e zQi;q-G_$Zc(7BsV73ERl8s!+nJyP&*eZeTrAX*_^wF%~lXGC|6<;OHm5I ztaD+N2sOe#V*7*JD4p4{3$ik)1{kGzOl_KlX-p9R@WW)@tn&e6=_tZ{J+7o@YWZNQ zXx6(Y^0S@?>kf!Jo?5=9MSQo2CW~43GpbBu9i0>|(x@JZhpH@6X{u~cR6#$5;2Uxm zDk?PV8o91sMMi>Pst5E}NXj5_{Zcg78$_G0YyXtpM)c9 zH(X92)nB*O?|)L!Zw};fE5q+#5y|F2NX4x#RKNnV0XA~@gMejl}yIbQ#8v6U)3)IU>i5DcV0krw^iJ(^7$hTZ35@LxOs5}7yHIWR> zasr}1yrz7!$@Z4byDgv2HuO;a?aF*T_^5q5+g1)kL3H1B(~6HeNY~mK&<1 z3pw;vJ7sfMPYB<0{{bBv5QfVOO-dxDE9c?iQ8Jp6oQ$*<0F*y#+-&m*7hQL%OJL>{0Pf-{x3WY2#SpwS~(Fs`^0VDtolFj;FzT`0{7}z{@Yc1xYF-Q~` zq(>cfef`2eD;#+PHU~$!fejh>0YJ!Xu0O|d)38X@ya4S{LB^fB8$(s?0A?y^y-8BY6S`k2gH~1^CSqZ_U-l}Sh zXaf{sH43+MNBw z$4-MNbf>Y)61knGO2Lj#94F zQF55vz-(V)XL&3K^Vw9q&`cfYp<92{IAYTcB=P6&bmNl!RpA-N%SL~*q361mDELu{ zEZ(JLw){H!U=}TcPO%t>l=%x>4Afn+Mx~~Rb~Bhjolc#7lsluTmdb50Akt$m;Faz> z^mGixa$sRCKj4;a{>7Fpbf9-ArtL=cCR4bZt3kB^MSy2CXsKM^qU87?3-?d32Zk+py0+X=9#b8meHZfpR&=fQ#Zx&fRypmL@Dr+$Mwu45e?3eZBJ z*Y1jRoV?KCrfLP7#W`6=M`yR@!rxK5o5&6V)w|%$o9@~PXtyRG^qqiOz#-W=Ab?(b z0Rjr3Wi{i9wG#7>RyuT=$KDEoS))Ir+PZKh8@KMkb!GZ?8 zSlA6Y&Y&Cq`SS?OgjNu_s3LP9ri~1cz(+tnA4DOWR(B(bDbQ??Tp`n%b%_1C_?}E; zRxPl}beEind^i(l4lQzUpF=Fl&^;Lx7~H{b5!RFoJ#!Jxm!w4$Bk>uX{WQ{;=bXEz zFD7+i$ta=~f>RadWtZXtWLx5vU*wj$q3bQIsZiRxa@DfA+&{5+k+@r+914>}hxY{= zUEaTuAUg}Kn)a)c5=U-XLa99K6L28j-JQuBGNQUJm_`gT{67&7@M8%Lcv2P)Qq}Sy zlfoowc8~L=?=o0+fG&)Tz5UmsF@k6aBjg6!8h`QCg)ALdIZ&>E#iOJ^)HgSuA>Wlg zqk$i+cak_)GZcXl5PNfXd@Q-z((`b0O@Z67^?@Kpe~ zqs7I=M!Q7=HhfOga@tzxcrFZ%tlzsb(3JVc~8Hg=RMK$31z^SrW^-nM_pkGd@U&(;LRh9S zw@lY`68QU{tpcHw1Ji+&4-Cq|<|%ypR^#41Tu`*ZBL{^+w{r`mCtwef8X3|3K5L9&D}qiqWFp#>!+ zm&V0CmVe^Z8%@3yi~tw_!%Q$h_^fq`dM(w~)^;;ON2-5y`Qzi!4G9>G4}#ZMcF; z4|B=tdV0gW>)deqii)nSx;U#vspYoy5pTuxXRA0#c%SrE2D<(`YvlpWI)eHgbU0<9WRV2-GDHXYWmF!q~dD< zU1Q+!w)0azB!%hACPR<$8wHOa=teLIFzgznn(q@J45VQctL~( z_8)*!B(?%>16a(zHuqtKKKjYwj%jBMJu+$wNslNKJ`Vf~!_kzGRokIVD(ZelQSApd zBPM3-P8@E#r6LyiGzrfLPm(f`X?Vw#)2yCl3x0*ZMoiAx050>0kIZ1%V|#$WDHLBt zYqm`BJ!{S;e8_Io==_jA+~|GA&K*7eSqscmXb?lSYs?8Ne|Yg(g6iIu%X5wcr1c8U z4OB#`EGIajct7Wcl=_HzEd*q~LkPx=#ac>%MOK#T;5n%vUrV1lgpqCfU4f8PQS!9a1ut8J>GKF)t5VNA9aRMEv z{p%~0O@_NXtzsZ!zzo|l4e`fxC-QE0e$gO{UC*2XA=z)tu0>2>ByVtfGaAw^Fa!mGTL3d-Xwx%Yo+k)@$ z$aRj0XTUdMWZpdaw4INg3qc2edILHce28}^{Uw2ymx5|G=05sZk+NvDdY<730={j5 zq!K@Qn{BFy&IIb#d*47F(6Hl^jyx;?hJMbV5I6;Iw8ww3)B;?Cn~z8EQK?Wb$mLHU zIsFSBqd^&agZ4t7$UNP;CxlLqs-s2bAPXd7$V%`eX+XklU2nZ1F%>Z3KUIewP?-C zbb}lfdo8db#YEvsEMGLvO4Y>7-b@f|v)E0@xS(JTa1Rrf8IzK^#2Wc;&5lWEnv2&`|(= zLaG(UDj@6+Cf*yz$JmO z*!p&tJX!$>)}IUBa6j|%ai8!EF;iV{%!A1Guk)$>u-HHCJ{o1kcFsV?T(<8*#AmBk zk@*Zfc?~k+GwX=E0>f!2Z+m-0Dh2xn=s*98I>$>c#!u{KIJaDMK`Da$mtPaJZy%3L zfdYF%0ujI)0r11+L+lbsuS1mK9eN8S3gD=ah=Q?Tm{BeBST!1ypa{pmX+K7Y(rxs+ z1@rTuiNe5!;}1RSH#;e}*u0lrMYYpz*bWs#5;8ECBlYHE+UpR)9UYjw05f4Qur9Li zI$PS)S=o5}81U86Qsc>05O1+cEb7L_v1R6+J2iJe5QGQEkj8cjTFfvIOJtG4MDWjs zCt}6$*a}Ga@~<@X>2&}AYko$6JPYFNtr(b_2nh+PvwzPF%IP{xyCRkdDgb;iI*9s8 zntABTfK3AP<%K*&$b1_--2(z$Y7ZeOpr$vg{uotw85cwWK*=ELF#SO+$?pXk;9fxj z6pDOHU#1x1xk4Nf(nV5Nt~~p}DH%Q{J?od7ff?Zy$%knP-Mb{-?9IVJ%v_yNnhH%^ z(76k#vy_0f0R+Q4$!x_F@N?}m^T!5JqCE)pmg9OCV1XgKM`o{Nk>{{97k|5Uoae_Y z$%c*SG=pO3h;IkaK^)*?-ns_6xRotZWMIH8u?!)B)~h9TxoD$`;5cxw!2+y1JvoGR zLFQn2s%PURI{BU)xUT#E31au}y`^4YD!cO&(iI?W;LB^2!tgU3cNCeK7x-rq`?D1M zyih+>-TLGlrePbyEj;gS$m^31f-f`VEoRpL854p~)4}!<4hk8Lg@<1dMZeA$`vaJm z6yVGD(oi1gPDh5h`{50$-9p98(o4gCcQWE%!&4ee2Me`xaR^XRmxV~+$rXq@0Hy2Y zBmEY>d|dc=^DlgOkO}EB?u2e|`rZx28=$IA4wg*Ibk|<-J|TiDs-QIqlw0q=QR#QU z%(k_?3Z|zcM9(AUfV)FRNn|>ORjPmT6~u(hp}!W+Av60{pPvU8J*X@PA)*}V)A3!+ zqb$UzTmF0;^M&w01<36J+nv4n@H#C(T4d@RDktXK8!)FqqJbbT>@G;>BQs_3(&)R; z%>Z)<`+?V0ty5kqjT^{qqCrICwvo_#G#leN`<oVZ9aS#%-v>OG6IIU5IfRx6 zU)d*R3%8mz!{l&)@Cvgz8k9`mv8^h3i;Fj@NkU!5aEJHR0HPc4{&K8l3iotgWEII+ zI1?GeEcR|;?4h{xeCP7!t2nRfwgmfSCA;{|s&Xc$eqf(7U!1nR>kAFAZP#mvlId-? z{8(`!@H-(F4a^Q&CIog7yB)ssT?wQuAWK3t5I;cyPQ-^?TTJMj;3r2YF^HvAr}i4c zCXgr8`Jf6^allCG6i{B z16(|zK--I3KA_V9{feqH8%3Tu10aV)G*9hC{#+vkN^a%;&5dpSa*Nw)Z)QQghMamC z7$2Y&{(_B2^Zh66`~ll)_RrnJbAyQO4$0UbCC2@^VlK+a6g@JHUT6tY0MslDLypkG z=A|cW(Q+6OH4rf1sR_?IIy#JkKf=eZ8efq0d6X2^#&z#FBtvynEJ#wRqZAl47G`*yxtJIl*1F~TzZ&Nh3D^Vh3o$f121CRd`%j)>$DVR(Ub$S`X_J z=bygraaGH?7##{X&Y-KYqT+srWU2Vg|0>n)tq&A^EyCFc+n=25C=_;_SOR>Qkbz%eD^arQT0NQL=E<1WY6kijWmwD z#2eB(_h)nD4?G(I9EO=^{1>PCfQX%7sVD13fgkhS^jw@04ej5o{Tl>Douf~SI z%p2`jM1%Nf{PQs=!JtI0ZXW0t-5*&0$ZMf^GQj8ZTNQaO(Uaml$Y+5aX#x*^FdK#% z{j8U#R&~2wyfq^VDI@o`s8a9Dxr2oUh8wtY)Ph#TKmtM2H@Qwr9xhi3?c5hsWnf2& zaK&IX$)(}BaYDBSB@-) z)bwj@bm*?~V2bMRYJRGxJ^o{sOjnIf#FBQq&D6yiF7e#pN_aWH7|R)MNZF-=iSShw zdB6q9+|^yY1t%Yk;VX05>IF6T-@^2T&RkyCoRjP0Me*)Tg<|2JAMpeN&W_z)#w>N% zY?hQM%M`qL&y;I&@d0u;s~fPv1bd!gqJa<)=}?Ee&Gy(netdEIC0J-KE`rcqk>^hU z1^74I5oSC7<45v0PAuJ1I~D7Yz^lboGDr5-{ml?d1n*xkWLXyw5Ilt99Y;7bh<1U& z=PxmQm?`815OlxTVAyteQeDbL3;G!1(}V3R*_kO_xBojGYJhZOuW`8^JZufRO%O;& zs;PW9z_XydH)nSm>g$j2dbEJE5LW>`hgiqRixo%^Tptj{7yc*v($T@DYLpG|=(g#y zP6n}Q?>vR*7QiT41Ldu zB9#wn)*>85wuDEPOB5~-UG|@mC#5i2SWbYIFfjxXC5BkV*_)PPy-JSpfs=1uMrSB( z>Gru}W}~>P>EiJ@xdy&1ZOg=A2}Ec~i5$SW%;B!3)1bm~d`X1_Nz}lHm$nLXUX+Py zlFla-nOBRLBc+`S1X1hyUnLgZnC4RrKFYB^br!mPkWzfPh`Et*ZYBD?WOnE0{GlcJ z>Q~(Vho|!Z$NF#I|7|p66qS|jF0yIZo2;@T6e%Mr4Yv_OM1<^>Y}$j+l2u7oiN;r= zfg8yvQnLT&yXSZOkE7!`p6B_tzW4q4yx-S#Ug!C`9FybXdN{XUMWciY1~NB=0v}`; zCR^a3x!?@Yi;QdR@8dT@8sov6NBDrEE(M=8-#%513L76LYVydn!?DsOmUrGdBSoZ2 zV%9ggl1T#FLmMh2KzqGme`NbXf(o9Y-FB#04ur{#BTMpi^W~DCnw3KX1J!cdMrvC= z?^!$}xsKmP)fq>?BKUiMW~&8)WnRM(_a3UTSapbqn}_)yk59p^ctB8K{ku}^D`^`k zWIFEA$>8&hizAvO*2c%jt6xuVn?`B`S%UNOH)feaw#PTP1h(EW5`)=TXI#4A8k?oR z_n%Dm4ciH~W<&dSG%J9d$Rdg0Q@*ggJn?CXQ7du2K&dX4a&^0yymRTJh{8)2^9Nz# ztjp+mQj(G+A$IJT?2besSv7@Z1yZPkinLW(8Fd&FKxV%05sE{hTQs#(u10()Ip-lY zPPaTeMnH?Y(rSe&r7zIoB7$?>L3 zTRY@5xL7%9OTG4ikw8U2>_cwJw#pI|*iE&J93B-(KIa{e(7%>Nt`fb)NLv#1PDM%#d(kSOZyxfgapa3Hx92(pV zKalys4F1^-iMULf4^xyXX?7&9jEre+JN)LdK%>r|V5;&(-t)$|vi9R{%DKupHK(r) zJC7>g9;Wb|Yk>1KHScz)4X*rtbp-9->wS6`jj04DG@w~0zMv&EdJsnIRV2N{Q0&+Pr}7Klwk!LAeN!!)iup-&p?+EWp2TRFdA9O>A{<& zBhr2=;P>17#dV1qlg9botv}}ek3O`gE+O0e8iu`?Yhli(bXQl{6(&5x+l@M^Z?+S7 z5TGF9LfR;Q5l)TydsY=zx&hknkrRoSmg0#_+yxOTAV+`MtB$7!PU;kGs?U-9=^Qk8 zS)%HeFy%cv=80jD+Th{u9BF_~4q1#P;%ON0A}E4_=O-EowFp&nJJOb(Tcxygpsf?b zYkSff5%qoa6S)JFV_YKFFTaB62q3QJm$8lgF2cS-euABhC0(mUIfkAfhKh&wCjMS{ekxVl^tM$KEMmrxoL3@I-6NJxKG$8>dd&BNw( z3cq~vLV~_cdns7)AwL_TO5KS338fjFxj!R=JFV6c+vT-fe|~&{69_2W9Q+yVVu!f~ ziHxAdU<_+nFq_+X#rhvY5zwf(U&CX2TOCp+CqJu<-FpjM1Tk2Zy@aIQQDo>+I}%UE zm6#f#1Z#v)(?AO>sfH>z@$qQsK_CtSAVC{$R;|xji3_jLZfJeTRaGv?XfHsb>3H`p zk|4ndf~$7wioBq=`Vl!rw2EFI?lM58+S7@KlG< zBcM-^uW&%!iV*}*dM;%b*R&f4h(>dbC6-86<{8sd zeQpyr-6P`*CNNe{s0wgQ9E=dKqcY+!a`={}uGHeN-$qVSeb|j5&XJp%;~>MG9=1t8 z;mPQvZi{-cYf_S78&ZIBE$fDJjQ^%Mn>|*2@3|G!y48>jkri?y?i60OSnJ(E!n46z z$h+AH_xC!Y;3c*n%6;QWkZ}vEs|C>4pz#2Xl*pS1D*wc@ z#AwOtgmftol8y5-zi?PI(Dp_TcJ+$wQ%Ox613?7tN0#tKW72tp?y>HZ*AT|mpl}-9 zw-B+jNvSGh)YSbB;1grJxM$7p|MtO}Nd8!2fl!vW4jnzIa`$BKv+9jmGlS}t7e4o% zB!I2J(zusIFH?SxmO0M4z?fR3=JD7eEw_ZtrwGz?@Vhx^Z4I#NokZToWqSNmAFF;J zYM3XaAV#H5|5SVD&arl zHXfmFr_Wv8x5&Lu?%Wn$Ha&Wgc?jwz)KdRb=*6Do{xR&bqdsXmE~(14UuXk@^(NeR z=tp-bGfh66=sJ5rCZPRd|AY$EI#`td8I=oEN{S?Jh6Snm=0#HZnFNVz^I#IQoP(RF z2WN~jjYSx}6PKw=@%-MTq#e&PWOQ2Eq`P7^WpcimY2uLSnvwXz_U80%?y_$er-E9F zs0&Sj`+V=Umn2Cj6Bq5&dy?v ztS(59gg)g8Md2$5QHG#d0Q`bu?B>mzgj+Y{r+cjD5hqTqz5AbDhP-mmRGS+o8<}%c z+Pk`9AQzoCe=q}WCE-ZV_Uv6f8i#_om zJeY16z$_%QU6elbmAa5yNCOF7bOLu)JqAN4dQ=-*C4w1r@b|$R^Zbz@hf(Pe+thhG zbkPVyQi2A1@$2!}OntX`>$z2B2?VJwj*T4ThU8@Od~cm$h#>k%QL(vYAtxKjGc(w$MBWl4hZLmgrZ2^%@B( z1FqYt$8Dh4owALHg%~3G0aqdUWdwhXta$s|4|@Jq3xGa9hwG>4V=44xs1yuS!F%>s z`OD&Eip*6%5r_p+n6xOa} zj{K%~_Ux!Y(L9w>bRl8U;+Zv^i|F|rOz_~sF`YgJ3y?ux$|zl|bG@d~*+`k2%}$<8 ze$>n+hG;Y47_ZF4QGW4>SlTT#7fq#%L0T&!m*0e+-4xiibcvV>heU3oECT4#c;I9 zifFWLhpyq?zM(aRsEN9fO>-lHKjaahKMKMKYt5bEi>TV|ANw9|d)0(%3{mGzgN#9E zh$9GMGy3ib&G!uCN*(=F#e-G|h2LLf3xi|@FKM2B@b`~KzNFC*Ze0=&g7uv8jpg#| z#nZ~TBuUo=b&o=Ug&EVxxS`Ek+`*J4L=<%Dw1iAJgyG6T6$L*8;=SK|A6I{>IrQ>k zvN-oguLlgv6u@wun4Z8qfW+@nY#;H;+PTBm;PSLC<}n@z6~!|!NhN88M!*%X?p*|G zkPkVLrvwy>-*)atoiG`N!SiNw<)IOAv0%pj7X#{(XbRu^P+i=AW!B9v<8kus@RmQF z>VSCw=2b$Zq6^GlLf(-PE(e^zQ>vwShGq6WV6)I(xM%N=2l>__wEvXt;vkeu&IDP_=YX%D5T$HD0wHJmhm^jV~AHnPa06^vI zqY6=cH-0(?3|=?@$@@SNGbUeKXRW z`|foa1@&k%f4L5=%|>x0qN+E`1rJldH-8d5tjU$&X19UmY`NJ5Q-1e{+#w1DN9EN= zJx6^*Ozw(t?u7Zk+Dz4Qe`sz~xZ#xu`g5^DbN|K;pQ&JxHDT}zqp*Q|Lz3mN9iSgj z{O_MnMnr9U%axsUwwK(Bd{>nr3L{o|0g_pn7s&Xqm{_q$qo~vFtKE7jujCZfdJP&H z1ma`X9Gwr<#l30iP z(oT|*V@Qi(hN-8bq86Djh)q69Y=?94cfzCxz8F2Lb$AlekA^4gc5;&aSOKIW9||s* zFbvTVZrt8=C1!@!C}~8yODz6SpL7xfY%z90(~f!>!ncK=mugNP;c1fCxK{2lHlN#B zKu{b9W*aYz{{8vz6+%z&SggQ}e;0`!^7@6}OCid+G1F)O0@? zyxHvFaz3rr<81e-DXIDMQT&hW5if~aeztdgfqPf z{t>F}8{IF)9+?Hr0}(*G!p@CJDIQsTEvPC~@!7%r0#E5VoaIHxr{UzF*c7q0zkQ78 zK-`-xE#ji0hQ+D^ZbHbfu4Pq`S)TksWQA5s--`66W<8$tyUEf~rYlTxM6IF>q$`=k zShkdh8P07C-+0=qTtSRgiFUDSv>I)c-Wt(U%;yThFy=3WK+~wbTZtN3JZ+FiWOBsp%^Ch$1LQe7WhHv<=my5J{9_XbTksK%Py}MgjtFVGa>E3mI?b7rlrJ&h9D6l zgDmzm4?})d4;RH6K#vrU_o!SD(%dVv0be)9f%(7GtuaA1rs54<4ObYc_#txt2yMiU z30#}!zpyw6>`u$$C?-9{hcZ_v_lmfRCpPMDht_X3aDZL;-P4Rvj2J%RY3=m5%IYLP zbLvh}k>32m#7r>g089mWrzZ!-IN^wRwtm3BYEEPOg4r1(gnz`J7u3?q!tySZEPl2h zRF_-$;-*wsR%UhH4uESItE^b;Ye(veSKYXMb7ej|gxmuD=7E-W$P^moY( zVp7Y*dEx{zWTV@yje|jVE(#x2Nm-`Gm12CkSuU5_Ayu^}-*L}WsiWK`ZHcPmnlA z3|rlK_*hQ)hPZp5XEsn}bM`OlP{Z>(aE=<>>>dcG(R1lQ?Ww)3XKxotLQ{HnXJgen z&zI$Qxnm64J32&5DgY3K0*p~Nl6u6^H4y+$3p;GwmsYHqI`cST^tsCb0*XQ3Su&@D7p2lR8_=kIk*8<)c6Uu5YA$6i|VLLf~23`#_ z289lhf#&MgvQk{E1j=aS_yeb6ay(ajR*yJ#_go)Se_dM(id8rdHu2|aGq)ppnxdCSaY0 zZKbdtm?qpv#)N(cCTLyuUHw;<647u&)Ws1XCZLHwp}1K58goTWjZ>PWFnd}B07C63 z6rr_2vY*fba_{C*L)Sg)46Ex%=D?Urb37r#xBT1i*1x2jBlXo>%`5U?@v<$q;_xs3 z1;G8_c{>Cyws^ELxBpU?_i%_`N4%&w_6c(VJpxQ}*G&6srau!miVs}N=&|}yNWQSO zb2>9qT^91VV)Di)M-OL6Nmu}ZG1HBY{RU5sjl5e(c(%sb-m*QmKCAi?pHW8p9F?1nk zXL;C0kHgKK=>|Id8wPYbey22SqlLHM7gNsAkek`o7P{2oecda`)N0_U*ic4uAJ15J z2|J6;lv?X?)ymsxlh2{K5eXGuE)va$LX24;YEWe5xOD$e_glTlp4TdzL@CJ2hxn!A zYYfHkC}DDS`SN8aLyBRPWDqnpmfsL8NE=FO-=&^WB= zMRy!D=CygLMiq{Cj1I9gKw>)u(guSR&rkj6n|Fn#~)>1Gxi?8 zB&!ZE`65f6AeR>5C0egxuDp8PW!cQM9)jX10L);&@qxHDlcCF~bycy4iZSHs2txcIz%y@?f(+##e zOeK{T&d(;bHX;4NU@q4!-g_>|Ow8oAc=UQfvsx{iTFDj9QhiJ~LNjv@`$l9nyBW+# zE_?eno_FA4$Ni+-0AHCdcZs-@lYhy#wARG(HH5Xc0A>xsy z(FRV@YrkPuO5a&lIhC6VzFE+eW0n&6w@D3Md>5XU(Y*9#Y4}8*<1@a*#)hLi&b)=6 zA`xw%^Z8IFcbIs@)M>a>#I9=sft!%YF6bN@zuCg;Zup05t2DHQ_6cwp)qP2|bMjjc zf7s1lK}#XY*XzDzNzZ-1{?NOBM{>wFTIKS0-f4fabw&G8c)}VeH9f~q)jb~JScW_^ z9?^e`n*RLpC#w}ug&Xyh;EPZ9Yf+Hk2OHM_BY~ayT7qO*#>s~Dc61G3^QQZgjf9?J zm6`|HqqH=izZ5}e{~!VNG5taVLL7}`Gz^H(BP?2&z$z#ogT4N9`u;PiFcV&h_}{Dv zN*S@2p>Z&{E9WlNd?kqL(lii4ebyeY=`PtUwqErDygZVpin$(p@uUf)$+2$tt@bkF zOYcu^(qpvW%D=wLl!(>-%~_5pk@Qx_Si#hbfTE)`)`UnYr{!9|J7)C{C2>=2u$f`9 z{HGCz*kitwPy2oI%1>ViHGU*M5%tHYQH=g8*{8%a7>5IRjVnE9nMOFIw7hn!QfvPB zF0RWl7fYW1*s&{B#*~w`Lf4_XNQuuOCneVom$x|-AM|f+%&N+91qXBCa zZtHj8+~E@K%^+ny3AC!K6RUY#gU!ZEGp6jDx4gy_@50Nq*NeDjqo4w#)9CQCQ| zyR#348?nH0G(YleYdVA{q3A*>Rv`H@kKCC`&MQ9g&>7p}hy~g#Q?3C$*Hx)~ZH)+6 z-o^d}tDsIExNtDPQt1oQk3sWM?%w*dMY@y{_BTbOYTaH8OR!9Y+}s>RSsnABZ+|0kg=mT<(Z@6a9|2y5gu0}Rt`;o zA9a2%HyF?i*&mr-}jc`i&_m28hqMurlqtCmTG>(_GMJK-Q%>`sk^cO*S&0G^YIE}I!^{O*J?wO)mt2*!2+R3t`q=Z0v@Ez#98>zAz|G&K=7Q(fD$pQO< zdjC(-=&#w4(nf3uQ~YM#w>BMv4pyjox)_>alasbrW97G^I2%T8Qml>=QS_yE*U2gOuIbx&wOxy}!+8SVcb%oM zDA0GLbS7`fXo@#1p{j8UMli2Zb&hR2N6Rt3D=I3HYixMxv!cFeT!+1{(|;Y?vx{^+3uz27e3Uq7`Xt4#1Tj#a-Jg~J|W{CMA6R`U13%`Z6}ue1b1@*{|`Ju)Wz}qQJ??H zB8M7#3*|e9$^@9&Q?=js^k`h33;llM8Y;C|c=}z9r`6w7em%=N`S?uYdgtJYWiaGV zZXY^uF_nS)t~uwo4KHD={I~gJ!V#WX=mWN|M}7yP9Mn>`wY1YZYf#W1FB66y&uY~W ztx^Hv0U@iP{37Zds7=Ta**=Ss8Mi#}(9wLQ0C%!+q^JZpix5>LIY}gQWs0Tl+2~P$ z7JtrWRfl`pQt!nXATl7vKEVE=EmS5>+;?=;dK;xkTzKFOY7^1RO`>BnEuH193&zZa zGExqI0ZJ0wC+By0pj=_2_$l$U*NJV}IkvR@S);yU;W3}(=|#np8kNu-j`){!RdCV^13e!1tmZ76@^*>15ZrU~$6FHgXjTm_iZFE?z#=r< z{xH+Rb^_&CA0jb62W%!VIJwaL@+4k-zfb|w*~bjxJn#OQl6OQvV>GD#5uFNm713{W z5{o7CDN6Q}$9_!Dl^uC6MV90l-T#rymVSEtOPw%k>Vx?sCH7@~*DGE^z(&OPCq}M> z@TvM5C$1x{d1K9S={j?w65z^$_>gd9=QSw}Z4ONcO?V<7Df7T2R1;e3vSWK`_2er2 zCV&V;U<@{We&lq`XU>6H*Nab|L1BE?gQZ_&zh`K5bfKRA6U&)&xPI$h-siqtJd{&@I%q@wNoZ{$=v z`tNSeGO`)u#`Nc?l)9PJh8Y##5YL^y>~u>Xu4K#}G2MfL)C9--4X@-~+?37osAebq zCnwyDHuxQ*N~Gs>ZOkw3VYlKgz0PLAQIlEGN)-3=`&Ua9rnRm$@h!I2<$pMOwfNVS zqtbCPlf1u!Gy#?cI=M-zm3td{pn$}r0R9*QgGKI|#`1GkEz2wHWpI^=y|iCEX?o=< zfZNbbe{p_M_j>BrA7lFP`c@kBfo znY{fCKgURnXCZ(8sjlHo%De@?O?s|~1VClLR13jJoY&7VpC6#H6m}k}fI;HVtdN=m zZ;2}Ha$BN4c_%F~FCw@GyoKw}M#IU2dyXI;a*mPc00FF_$OabxW29Rbzl7zj*~=BN z+!Vf0aI^)>@vMCJ2y@5P>D0K3I0RQr#xPj{i3t z$W`IFM7>}crnbzZHOrVfm1M6!zLBfWI5_!}YI&Swl|bSP#;Hfa7@DdO>Kh|}WjP(U zKW|Fw@ABzgMf|$11?K*EPSKz}i>JmJ(wfwcNkpf544v)x{j%+3k#&`qGQVcVr~Q*^ z6xtv0stHd%_v~g4iJ2g`A=Bi$o4&L+_ldIri*4QY<#$byWyjt}RLK2lSe_ zJ}}|>HF$t?YVX^?woBX0Hu4jTDC$PBfMBu)M008_N1kw^AQAxoo+3~lDTJ=A$P20H!yg5Wt5L{r;9+Jvjfzu$i;27n{lD z$Q_Cp-)+ZAE|^i96ty#p&mEuLoYW2AAXbDA`(jQEd^hH6ocO9?T3D&r>}IX93T;AS z^Dh0fX1HKPyWoz39Sv0x88wW`#;MWiMJbwJ@46Z-a_{tK>Tu;x?O~ViF2sNW;X?4H z4IZj}zbV0baPk!!%UbGq)4}hw+O_e{c$Y_IrOsWZsdv3kb5b*IYArWg&cgNPI)5ss;@O~Ga53fbg@Y>>AQiWrSY%XNu3NPl84$$B!FOn5Y&7&;}6dWY&!2@@-452yu4Cg%Q(I4|*I9?N%$ zK{y<1BVw1d|9o&2GhPDjXv=;aCZd{q)N)^-pjEy+=Qi7j{}K&5ED1AXbu=HAc?Fc< z218(VH8R!{8${~aU|}*BgLvJeRreHb(7z4xq2bQ+eLOWK{l9}IAa1N~{F$(Mis2KU zLM7S9o2N1C_3|=6p@S!sFq;J>B^^sUhg6DGd{h_;x= zL&;&b_V(9ldpaJJXB%_-lp8+&Tz<#+XL7_}6Svm3@RVuM%!61~GGtO(DYLiZB0Xf#Cy`-If5(ygMFO^M+QsE2Qtnq$^efp?o(&Hu zHG|85hvuZp?Vz#4^AiCAunT}4jdury1VUkv$a9{(MIy{}iSn=pA9}lj-*=k{bpo|P z;#6rl1GuOMCh5&2V|&#iKjB#S0|pAYvj#gc#EunEL9uiY843OE=2*bIc6*-rH8NSJ zJb~+upry`xv%A$vtb(O%{qc|g;}XxE@7D%F6U3@3mr8+#oAfVL;$^$2<|l=Y1=8MJ z&j}Ng=7L-m=%D`_iH4{dpxptr?=FOvH>Y84NuHpUEx4>i`3)|D7MVIrK`H%}l4 zr`H$3(?XUf5ew4_3UMX(RSIJpw~^-Orzd;Q@x(4=rlsisx%#3Z=L1=FLTD;JGp0l?@0>;UWo;8L8J%b22__WABMblKy7cms>HO^c!4 z8h4B2c0;`wScLgZQRcXzSN>`b&M&+ zhR+qNt$e59j(aY~73yYei49F+^066jKYY7?b)f4?ByDEXn6~pF9!mPkP3nW+_BI7N z-qYTjnI~~D&OjYfJfKhFKRarHXssUwX7QVf_C=}gD$gmC32aUlI;y$xECysTf?JH<+55<+}c}6V-a;S zayU@5fr%!L=L|izs4vJ{F}o%oD3wbZGbRMbS8U0q9|)Y)9yr>uI54t9Y&DDhRM1;? zp7fq(KCAKogMM~qMjS3;t`}aIJWEGx*EPM-?8-G7N9O307H+O#P07rtH?vbhDS~b` z{AptWse+Nz=PBJX`TDY`o7b&++Ivz2nQt->K9^MS8hi|)#Qb}r<2#q|I)1lGPX}3& zWrdx$ciEbMz7Xs^5aoAY9b2@rkck4!jP0|1@FW5M$cncTf)(3})j|flckizI!%9~x zqc;+?5oBw!FM-o1bq_Fvc!wE|?f#dSzc{Trt9}oIB22}F@iSjLNTiz{B&5*2cR;z| z@$n_cKpW6#E;xWN1W;|O#IvHflmT_As%l?wZ_>g5OT9o0w61j^EGT~o-U3)CJB2tX zU`gCUokM#V0Hy1Be<^HP7^sl*U-S~Y;0aj0!l1Z*#VE-LfpSDQ;TC`Crt}Egy-%V} z$>XYvLlprKkF$5D)2RUs9*$^Kx52JYeoY=Ap>Ur|w-jE+tRnsymKavZ-{^jDNy3gH zC@4sP;jnjMPuiMX^lq>d{vF(oRfLoPm<1yvMpL#{?u?66_JucNOHcU4!8-(NEV>MgrO5~(qNR#|C8Vvwzjb?V z83qPcnm)&4qwnCrNA!x0JEb)>HJuBBo3+6-C;52+pi6=b=*H}6(CZb?Of7$P2YBY1 z44V+R3Xwbb-&Pmmox_8)T=oEi=0F%h>vP3Ke!q`p>)cS~;MzF}apRw|j1@qyvv+O^ z&=3OZarNwnmpAG|rawiSq;9&AQ3F;185YmpUw|>I!7(WjahdGnk4-cdO95Wu>~``& zV-tWpEisznCK3M8o1=gT59z)B07aP}Wv>lZ%<9pPpqZs1$ z-b}7iIOJj59OyvxvW(W}7Z+83NIxD^?wK-1Y3UTT`kXmxlgiY7c;~$m$Kw}6G(P5; zE;D)5g0w#*O3hDiVOD53y<>mo{xh`BdeZC*x_1eo^{VcDm%@L-=rO8E-`~V=GV}Rfe|}DZR4zb@8t~$i%+0*0l}SsT*=g} zsS{YJ)pu$UNetdS6Q)*aIkd`G*~l1<`Tc2`fO z&uQ5cve>VPzX^sChcJqKYpz@UD@ z&E%w*BBuZFOF;9Fd!s$8BhR|F+&ES6x@??ommre~Tgzf{XS2VD`;X|wjUD04l3YKG z3q*L>{Vo^#90SJ++wnAn>?)(_N}60do4VW{b|Y#?vPNgzL{0pen~T^htK8_n#C0vW zU%H9LGhYgBqt4jVHeC#kZ&KXxj3Y*6>dXx9zj+(74&;50{WebzN$q|GPlBCr%mJFc zmSFUQjfGa+J>M4eIpn$c1{OLL2THQa+l}Y0ab!^sSSO^*L`lVpJ+`w}J&3iN&|9%A z?i?xr(m!bBTcptyu5Bk^5j-R?H+?=DWpu(pzfmkgGS}P{H#{XMheIdv+XR-lyY@ai z7nn;zFVNEq|AqvEjn1Is>%Huq5C4KWC(d9{)EDpOb)Liy!3lis9G=CHqs zH+kSt(PAU3LG9;4{piWIVO$cJ!E4B2YD+rclXUTHI8^ClI;ttE2w20RDNk2fje~=D z>8$k*j^fcklLrACn{+TK=Q8I<^@iD!m9^0o|FjzhPRu4v1vykMw(IJ-4KB?r5fax@ zWj0Zwb9HEW8IFe}JhnCKT?qbVpm$y-01M@Ceu?f(J|Oz==Cu)*t^C;6NYGxsYUk>W z+Z@Fh;{ISgE@r8Q3Ec6}H3rWImDd}GYL?e|r=F8@xL7D0B`oZ{>8mL)i99|Mi5f_{PtS%2gyz&CPb)Bw43TFKcO2 zXlW?g;MtYFsm^FPBwaIObi*VTTuh?Z;6)K?_?9846oNQ&#M9Kp?A=$Fl8Td)%ucZ{ zXX1)6NI1Fc?B6mMuv{>ZML}668JKbAj5{h=x!S)j>0jr`2k0l1AgsNAK$1dRmb#Wf z%H+qf(Jr55l=r`rAGWSg4U^b;QKY1^EUb1-@@pfZVt6wRd7P+`rct6WjC`I6Csn4_ z{7-#JQ;X?W&z?PF5Uxj;gPe!hkDIl%i;vRQVEHlD54$2$26V#CI@3H*OxDywV*eHU zgygTk(4m; z-`+gFNvhF$ouO|pq@aI-s?&Lma_N;#>uKMXCKc&^!x08bSvKi%T=#b2Zqt6}mvpwa znT1*vYD|S$jpQ0IyT(4?PtPgQW?lF^A-2J_g!}R2wPee*km61GW-wH;ZtLRM5~%J_ zEvCFrt6TM$bmmych;He&^nHh_?$NEQMzbqGu|wX$pfp(7kLvl@Q4YAv`Z52wU)0{6 zpQGBsdv@OwiYcZl9Likz#@nrNUHtCxy%#^Zg_UecH%&PylIhjL$h{y3M-hg+acz-! ziZOUWZ6wBoMFFhAXYzjObH-{{O>4=&f<+V3Md>kXe`H~Bd@ z?|F%!@RRqnwCkvuqX;3DLmbet{nMbZfZcEA?^!HChFS~OMy%bGva))L=!W7B6_*zK zYdf>f!sq3JJu^%nOYjCdk91@n?i%Qp*nlFB%zHBAoIaNRUV?OWWAQ(M6W`1v6XFi+ zP$C}2jj*{tD#jX;mAzLvXzMOotEgrQoE?eD@6hIh136$ZY%c@rK}5* znm`ol|Kp=u#<+Gl*pxGwjJHX!?wyR*tqe|1$jar*s4;(#8fzdu`&Dv9N$S3^2boI> zZ}GOgKb#X1Un9#U=vR-2v|_L-K*|@TeA5N4PnFS)Xxv8cU#8S zbJclj(;9WT8t^3gN$`lql$KXn$o1}|azQDE(jj&xF0v9n{HjlFjND8VLXU%)kdWZO z8yyOT^;=4&li|rp=Mx_S?-!n*SloD z2dVKBrxljJ!nQ1UWUq6b{QpO?yT$*Kz<8MPZ%noU-`8_tN~bYc`W+WnBr5~|E$3O~ zv6h8_0`e<^4)a5gs+h2P7k&T09safJ$5IVe^E1ULQZFNubOE{c$YpBW=icnzVfM$q zN!76b^3ml29FCdV2P`i>ERrN+O1Pu`;h3vhx(wt>gNMwWRt*QL?sSxUpSJAEs7Szf z4wFi&t)UM0TKsQz*dy$A&wPB;m}46RIe^1)3Bnxw_>a5(NR^`;z6jz##lyJGylWdI zrRfz;*Dy`N-$RXJ9S{WiQ3y02O{$P$)tTvO_}*T zj|#p7dfPdAFI$9PN?BE$DB5O!McgEXDh8 z>WhWnc*PKi64U58RKYTx)iYx$6fw$?lDW34Un0EOr3{;;!HK<|uxnh@K~hZAM9weu z^)8{*;5^z&Els1&vww6u!%9w}cv2C7xs0syMJ7guyH$O8OJ30%J+5G5d$EbwHrcsL zO*1z506`qV1dgjTH@L=F5#d>aNU=n#(=#NFhUXXJur?SUo*G2R?3yH z+^Ec6Fnv?z=9?KNOQ+p4AwW&wK0oK$fn|yav>*#Dlo-8C=BfpjKr5UYcYLqpU@w?( z;uFxR9Y>XAu;K<$yqGVky|e#eD-PBk^dnDAK6nJ`pL;WWg&S?`lu*k_c$ao)02p!o z)~%6>Y9-;B$>Q01LaK)Y_s{Tmd{E?Yu<4W*23Y1faYIdiK7B%`d+_uti$l{Ze7scn zKI;P>gBd;qe*dbF53g@vDI%o8P1B^=yicHOm?lg*o~giS6?Lrp&VD zUd`z97VboPe^ZGJwqeW^jB??p7rm2Svl7c0QJ<4BhGOzb!e_+pwD8a6D$F_>Mz34t zq;#Cd(bi#aw!!Hj2L-EjhH0uTxwD=xsTZdC2Ut+=zw6L+}@ zN9R~lg{(StgL3I9<}~RpukFNAgFI4X&6|tgf~+>XNUr0GM?DlNxjL;u!r?>luOugT zDh;#v_aoAECHL4_JasHYw#E2Q30*tpHet%mYy1xQ7otqS!-M#p;e!n|uP^RSBsP_S z;CG%|FQR)!?wUeh^{(-(7mqY4qOlA7Pf+SswDj-Zy<_WA@l2qex*XgiKH$MF0TgJ| zH{NW`A&y8a7+8Zi%Ys%W*}I6>?_6X5@b3U<%@}WSc77kobY4zD%2P(--NnIMSg%kG zgaZr=_V+xKk93nHe#p`;1pd$kt2Bn?S&tDS8<`2zwM8E+KYaYSmdpNk#8B(#_ujVA z(_le@Kfb8E-1<>X;yICP9iGoKLnMlsMhNnr%%DQujnFv|?O3q9E_14K433(cGzNEUPbbLLufC8$p@V(p_yrTPi*6 z?(AI#!#cbE;tpB9TuXuIlt_{ku#a`i1EqC`$rK#`n6Ox{rMm* zefsy`tlZBJd49*PT4`czEE02-F=Y+cN-nRp5-(yl`0IH!Zd_b+*>Gw_#Mtwg{zu9w zAHpOVS!{HSMJ#`W*xG&EfAwK*))(Qq9J~C}9*45`=ndozb$NJ<_sl&wJ(N3_cUo&G z0$_D_`ID*z$ZX(@OFS|MG=+SueDD28Sait_h+C7d#@OjK{W@aMIx%@CON7>OA)GOF~9bffBl+fzN$|pE4KtP?Xq2;=zg7#awSKUWk2os1!{3_nF7vT&Rp4$v(EA4 zsQIk|*7DqIe&+w~$Khlp*+|@M&{3u?N{Z`{`O8DvWkP-QGQ8hWLVGpxlwpi%Ht0l=B0I%pkuESYsTHa7O_^c+!n zd$A;kEbk`Q+m%1>`!Q6-Ek%lJux9Z8zw>}lQ6pkYGAHXz-sOJ8+S|h#_H>O0xYIzY zM8CS<{UBXq5<)Q(3}2tx*4nfWs)yohCWMMZOBkVuX20r#K5#@k&m+MHlYqwWCJ_(@ zi1P+ODU>@a+PAHKjjh;F)4d*sY&j5S4{}`S-+EkiufM;)rHBM#Yt*Az;F=<@A>=45!olt=7T2b^d7ks0(oX4L8rl-neyPH6&SDDHy?;hjtOE|#mf?dyX zdq7ddd{;-L;3NE|+qCuzScF`>GR5SYjkvP2SxVG_FW?>E__{i=GL>(&!|E8GN`=&e z5pSsZLpl#~yZ>*gx|0)jt(LCTevmkqvJT6+P1iU02*x$MQx)lL)G|GH@w4wIx9>`s z54*=OV=%SaVIdQue&r)}9ee6A(_h`pyPSGiCfya?E7HW#-D7*SjxG=P8++!a)Z3IS zPDma;#s$FoVTz$Gar-J_NjjOm>O)1)ItfD(&QbpLwji7A+ed)DgD*~FG_kC-DnO&; zy9l1Wb&A-mP1drky!u%T4+mCm=|VbzOv#$Ee{5{*L){r|q*AV;9YwQze*yn|bAZf{ zFjj)4gapiuJ**n@v4Cn=4>bwYhYxo;cPjA8JbH5Y$dT{&E!ceOo zc6APwM&Q0zm$tE@e}NG!?uGKp0osk{TtQ9VM^Bu1-F+xZdt^u>Pnv1@s$S=%-_EuH zMmn*s6F4iS`qXzEsv>v2pvE6I1Qnlb<>M)(#SZLA>aP{Gi*xm{(PG2>vu1+ zKM4jD)3;S-`>}u&kuEHTt~L9dK~l+ZKhSUZ?gicRMD+#y&eYL zg6u4%e1(kCI=4^Bt!WL86tSU4(1~3MTM9GWS-)CXtbgKm=|fiak(6dDn`5QIN*N|Q z*+*+SH$?8a+jfjmo#7FUN)iv02)RyA z+%%ne#!?V@g>lvyohY3Wv&ZTVdFnU`^*Jga4oa{0hoVmU%nZGxZ|V_>Wzb zj*|323_g%bSRdoQ#=dhq`OLu&>4CrI(o0+L%OuQm$ih_EcM2YOR5%b$2;6|S-Q+Rr zSih2)_Pyy)#ifRN;`73opIuSO<@rh|;R2dLHa@rUnx}2v{f=?+YWDH()7wsu_oz~y zfNo7fdxN&N5adt<(rt_1cXpmS?Inu;F?ICm)3VQS2DIgA?o$X(LbiO=KlwkN9^bdS zmW5oW!oCh8@z!o2BW$~gpmO!<)zF8o5YmW;(Ylh+$*l)SrB!l!*m)%ha_gw^pS+(? z$a_Jd*C6v;SD>~v$MXRhy^_XoXYrTzQiZcm(56(Yv4GLC z#-GK)3&xw{=4f7L4k%^a#qT$LZglH`0(D;IjPP4rLHF053>CGQJVy_s${HIdQ7HvB z3Qq#x(uQ9f6rDBQ$YmWYh;Qy-q+^&#xoK4O@WR8X=RE5*!6RDx#&9F&Li$P*x8|Q} zaScT_hpFS218b<6Ip)`-;^?_pTh@CTCkyU2h)R%#w`a?i&eVjy{QW$gO)#zZT*}Fo zLlxvo{@*xpcBgaHsJipo6yLXI}Se>#{bL>T{*1 z+;*D_D50zT+~UCVelJz(H}fT}%Ui#sZVf!H!foTi;AC-(kN+s1qfLZ%iD5Y*7kaei zfN4+YDJ$|{Ukg-8lBd!^Nx3wQ2r*pV@W3C*2ALb^?#cf``ku3()^phM&=w1K3JY~B z@IBST7pOp^8&jS@IKkXk5(~*zVlWMAX^Uve#fjZZ%=`M_Ps5BCB~DHhFT>+^x@`BG z9*SV#oOXm~t>V-@5$v3>$>(9mM}m3sbKLFT^MAcxIeu_%dcb`|nWYtCVCjLXk&%&f zXUoEq8?e#^RI#rwHk^35&l!z+6o+6eqM^RsgCOMA!@tt=$UF7`M&+uV1q@6)tV?rs zORTtCU@Q8iDfNItkGy%uzKjvWI1~YbVREzp>I`E5W<_Grcr;S^nSW60?5QD0=JWTkF0Oms{vWoby-M4?_1d9tBy2 zj1ngZVu|OY+c^xkPK1o?i<)hD;=Ur{iPA~ivvjWdNA$i}YPjRwR9-PFk@s>bf0GT? zny{sqY<-x~8)$PE{pvvR##bN1OS1jBw9>>!VuTknLyf4(xA)w#4r8#a-5azmnJWL+ z^|JEnOsP%B`;T7LgiF_Sp<%me{<_&XRe^-+u4DFzTKh7+q+@u-jlL)>o`8O+BJkf- zy!!~tmW5rb=HxZ)CS@N5+)1j&4p^JGV|;m=U;T6~yQr3sUv`Yj-L*QZ=nZf7knPPz z>hNWWt5e4^q-16;N$E&E2neCEP4!=spou4+AH39&8oInh5MrH91+ThyA2WmlK-AuC zLv(L)_Rs|ZRqJ9G*f&%{X73#m2Dl@x!CGNz5L?uERcUSyYxf~g_Vxt{#7S7>J%?%J zo#X!_>bv8q?%)4O$*LqH6yX?2R*K5XK9Vhzkx|;D5<)2>WF0FKDGDh`5!s56NVLe7 zRVjN!-{-6Q^LzXrkN&9pE{=0v@9TA4&+9pEi$7LMJ*RuP#tT$GtnGT_N)DG+08c0)L`XaWkX zE5|QVKmYJ(6XUCR-+#+DW<;2JrTODEXT}+qg$&1i5u)u?YM6Qx8Zt&4`7=KOuY%-R zKUy?@cfH@J-fnL#83Akk}8Fz z6qW>A7|ta<&6k?KIU*VKxsKgpIIL!e*+X%vGW9#PH`KRZ$&J4u=G!F2K8r40k)K)N zn6yltc|qLNFTMzvzy?GGcc_}7|%^1 z#QQ*GC(Rt)AoH%d`L?_q*g&u>k-2YoJ4|_0I@VC|fDKW5pbkLW`0Pk!VxtFd6hj59 zMv-Uz>B>ue)V0VdJ)+aXiWp4Rm2?s@?!F5P3@UXp_IQ8UHtymi&Q};p-6KvR(6 z@0)H8_ud;+u2&V9evNINNL{6y>Q5ubeY8#H7o!bgQYG$5 znilsTk2b4k^7Gm$eHH4BJe7`GpsAx%e8&oN&$tOBB1#7+2Az6etvKu?0^p-|2nvQ9 zDi?QLmcBZUu04EL3)~ptS(|AvGBjj7amJO*ImvTsf;aMV**^^;)+4p)`m5 zj^GB|9~t-y-5x|dqAo(6{QtIE|G{qaTKn}M-_niPV8ScOOv{9VtBbBLG zv1%71Pxv9y(?J5FhWQ~Trl@snhP3q<(FolMF}`!fb@vrm6JaD7{P@8gH!aq{eIc=B%;34;Y{g0vQZ8ln z`1VITD_=7H9&|0;zDei-Bb$xX|GJ_kammY*jJ=c`&vlzrZlrguvoMnX6KQ8+I;Hib zf%q@89FvdL8{l#4+!E-_O6B!EqLGy?G+cAipR(1e+}!)O3YUgy2qn&%qMON=k8o%h zEhudmIos`HB~lw8bcJG~=YvzvZviqYZP23ra{UT#-}ut8l%=yGvQhm3}{gv3P7_AH>eCB~Ak zqlA1V%_7mRfVt%`(we3Js%GvujwGN^lS-$^4LfP;A`rm=Av^-Qb~U=%*uUd%f!nuJ z^X)x1kVl0=2toml7~EN|;3d%0eQQe1wZ4s%lPjz{1h#aQgBAma%@nb{o47LOHbss} zztch}6$v{z-SO#^;HvdQ%&3Uf!E0)<@?w12LBxqTAr{BqLCt{7pFgkc|E%ys-_wUS z?Kve91UT@J4Y~v@`ErLbhIzF%>0c7TLhBP5fc}P`5&AD-!(iu+^eDcw}{U5p%2vx0+D@C z(AQK2va()i2FyVB4`v9METg5J^ESQOPoH0fg(xg44yW%s9BY0c+LP`!ljP66hk2M+ zCH{^KNMuXBYhBWrygOP?q6Gp{q#JI&b8W%H!{fNY8+0%%{0%&O;`u*KUcHJE2#OzO zW-E24a!71YoDOknoPN!|`ybIhqwbEbjC_F!ha_85`m*r)2iTvvDWOb8p!su_x6K;l zEz4Bg`r)GOz*Tcj<1^5_0{A619+>4qwAh)JbJnd?pNhb(wLnR5Z$TqOwib2*v*bb5Te zzofc$Oa>%5_#KT)XJ^(7ZNqaK5tN*mwFLEuBu&A*?=vgr0f+yyG?xpwuq+TcL2GK`+7ofLJelI>Epwt-`jfp~8YWi$)VVcliTA*H9#p z7)=yaMC#lH6$eW_Lhkoe)?ZsKyNzZ_vGSbQN?kvfR4+LkwnE+M(LQ;G%i{uf9D}vY zBsg1UbwoLs(HWqkg&UdeXdg&?b-(LPrprG=DrC-J+hSp_#7(;$H6qCC@$Fx}HfP?l zbBlCh9L#O|Z|{x3$cU<-VEsd{=5tI(5yHw%% z{$&O-W*_JM!cSDNk)_y&=`ZL{fw4uW{2UguOf5|JW zPNYp}a6$8b1&*8>Cc|W9FVifDVr{OWR)MEuvhI##?zXw436Oy*p>@BPHA*bTx=2Upt>>T15W0ll^s!SzwIYIP+Hi$tM5t1|mpW351K@aZA_6fWgyBVY9iUqs zBE%gz$AF+epv_A*zF6Y>jLfvkiMEYI#X02-pApIY0U&1 zfeq*y`}vlHUx6|{^p_?SFa5Jb9q~(ElQH1{GNte7R0G*3?gRSZ(%6^U=Q*xW#rK~s zGGJirT=U;`Ex#cwJ&G+K#*R29NF9T46Tb<)cH4ho6T4USuc>NGnYKWw3bV`f`2?gAFo4+@>n8pY4IkFl^zv@`)e)#6H1NLqdjL4n zYt_xmqTOgcw=3qZ2hN|c=D0^Qh?P|3aHbS_cBZ$4J2CW&&noHoH2vC-<*&H|YN=lD z@*#Q4u4gBBFf@^6w#(ZM;KeD!H8k{G^EyRZ4qfq+ns)&*{48e0 zBSqp>0PvIIi>GVq#ow>tuBz~=-8c94wKo{%!f)BuKfmD#XWf7FQdkDOB1ZXir3*_K zlYI~#WL`VTojkfU?fRFy9O}*OsT+5?FUKGOYlf@Guh#ax`?S9wD++!EN%>BZ85hHn zR%kphjfi_OZaj23K2+l+EkI&xxhb3JB*t}uyrZpvD1|--ueV<77Rv_7 zvy%?C@*=l0N1OGoU0($ZR z29oXlzvUb5nkx>+S-3}6J)u8(y>9CB0-eON2Uv^ZI0He)3PW3pTNC0{xLbmKj)M(r zE3Ue#-?xSL(Ue;@q<&nnZx(*Mm@q-v2ukkr%zqf`J+aGiBSprm)c97d_+`4*x$dc| z6A^tf?YdDXg-z}Wif0`V`K{&t_J_xb*emmACF0gA|24m7QmVV%`a&8b<0C{kPH z;z^P-#wGmjYZ=1dUt-%rJY}A#2=*}0fr)ne+al(I?S6ve`6v`vg-d8hrCgH?I3%0d zx*PPBwR_MqRjjxfa-pzPCYRNB^|{8)#5M$bZXrUWAV~OQWQ(C!rz4~^c+b!WSDU!W zCFDkQJ}qJ=1sJJ#C#r0`M|557c#3trtKuGi+Tk`uvV^z$LEz9w@Lr4Q2AEX!H@1FU zcN&(F@T7mxJ&2t?x!}&UwaXIi)|OO_&ca`+gU2fbmwv5e<5SSPYjv^wG4Ag$eLG%R zw~T68c{w)=4Zh$8@#z+)&`xcI=N{NmK9+|+M7lvxQnXD7M*KjH`rK;{=j4}fg=tsR z4j94!doXAkKBN7LTk`{jszJhthWj=5-vh=5ExsL_k8FQN9BAUOgl(T;;O-kXzIbzq#C0A zFnA4dqsK1%>cNl4JBW03U}S$?96qbM;vqf5 z*h;dl39o$iarDQINohfkpB*8vG@A7On+w;_|B-auRqygCN9(~0f)w->zP*%jm6DO+ zF_;YL3P-c;50q1DA}7SAM<(rVMg7u`}(1M`vPetX?ORimR7HK zWL95$Zi8!9zsTHX&3QdLYVY;IFl#PRs?IvEBengW#$KY^ENJIq(rDfT<|uX!acsJ6 z>uB?1LFP@=-mRE7U(z!^+Bf7I%CvYsU3`nT@W%e+oGyC~!<-A4=n1a^9_}$_@r_4D zcZAue?Z^{=O`A~OB+FH#9Bhi#>)-xiYk*JM>A9L5#s2Gd;mec77c%VA{On%qc2AkR zlr=Ra@4SlZ_)XIG2en1&WA|_5`poSNQM$e5WEL_p&)N{EtG}ICGFnM}_@N3OJ%BCV zC^i?Mw7+IjyM5k$l=og>A3|)noGN@dPY4_su3S*1TgS@;+A#p z9u^W=J0C_IK>^v3A|!n~a1Q-@ra)OIwg)@)Umzi^_tMhfCAwradkAXty?xtH6=q2# z%)$RC0zFt}@EV{Ar~hs2L~pzc*Sgl3oZL=#^fiU9{%A+v@1xwy%yXj*x_eVn$i0!} zmmV6%`@>2#&IrJ8V60qDv=&pHn4h8Oe$W+I1bLs-x=&Fe%q^o!dcxOfvhK8_ynDV+ zGHtTcGUuj~#^bKJ2vO@=cPkz$7jr@2h;(pun!zB0|79KjcqG0++li-^?G3_#`OJ9l zy)KCHp-s7MpdO{Y?A=EfA|4^mtVA{cooo`V-5aAN!Yr3KWs-tNdj+TzdOFr+$_bNi zXdeaXGH&!1#r1C;?Q@w^meCWIrPBX}uoA#9)T1Yzg%mDtKk=cPh~~iydH3!eJ>7a0 zZv_GjO>a)WaexF8FL(5c%1~LW#(rhO)?4*0=+Na3=4KZe$t=^&|jk8P?C^6Ji8VR`=0=|j^lz3lL_(|Ne zH1LFLP@_*+W94$XbZY;U9|Rh+Z(LO0pYmdSbcz6y{@4|ff?+2(0X;@9jA^7$Ntkap zbS$vi&t91?QCwb!wEGhoSWDqldVn|bP zo}Dl#xRn*%7chDRt?}t*fN|g5BdNe4`Vft*jjbTb9Ko7t-?egjh6L7s!yha?LNNT} z=s#<2?&3Uqrs)+6RR91LmxUB%)$=vXa*~JBXV`g+l@UpEw0@IARgSlhW6cVBu043V zkj;v7yV(_O1r&g$0@x2fQ={9*FKR6kcVzN{<0p|iifWOIQtE~^i|@VpI%@mQgb(sq z*t9f-4wz)U+?5_u+_^36d>&htRjAJ0`oYjzAX;245^cwyjLAQZ@D&l#ZVCQzHuA~)^ zpP+j@cKwPqw=bU8N1yRAFazUM@}88y8xKJ2ZbTd_d;D2E@5h*C03=A5omD9oxp2DV zw+`_1r`@w)5+UqzznS5M5s}g_Ifb7yhEA0GlQe_%A6))+E({Moc1iJK z#LOjwN0+YKEOnmjYs#<+n$B8k;5B&Dybc8XBONf*ISqr;sTa@Sg|SM=4x(1o4nK}Je5gkcF-EZl!?z{m;PS#`R*iGjq@CCnpZL|G!G6A5-M{Z5mSb{mNuEO`kjKV!I%Q(N{%_?M_UA5EpiC~=$i zh*nOB<{nnrxw)1alrgS6+GaIxe8-2vJ$k1l!uS2na{lKYl`Cigb**t+u7E^IOSXCQ zaKUvXemi0;;?wl7j$fL>P>-PdGu5jU552s$7M&KM=(j!F#{p+4Cup$<#cEgl1Uu{p z0!mmJR66|@PKEb|>bLt4%X`R8V&xz14veXD)_@4@QTdX0qesMNRM!dGE3#k&55c{x zFem0OeZPg!RO`K;(>>D|=@F^B5e0OM)qbP%QOmcU3x`?m)WL7(c5QzdQs`IR!1`4_!bko`Um*&OkY}3aH84@m|le49~N3n5o z#FiP>%-BUS5?l7Mpv$kk$IHj#U{BaF2@7 z3sL!LZt&ucmNl27TC7_T**0Oqb>!KBxETxiL@B*PR1U)J1|DBoEFI2eLe7=)_=M0f`vM>mwcp6q%%I58mFGf9?{*d)Gl z%J#ZFy70-?KHV`BTzLTeT7cv_cbzzXd|bK(a|f;$BoL%&?47LrW+u^Z<}5V2%5>>B8BN0bh97T`VI`DiCK$LW~h?SHzW;uWFf{C?=_yJgIU zlo%Mu<@wBwmuTg7?gsJq5QK5FL%M3A#N{MGA?6Sg{&3}e=<_3E06}0Km;TH#>@UPJ z5;(ied@_N=kox)1a^i!F>I5&oWeLdh$J+r6|L%`5n*KC%2_CjD@yCT&&dWqjZ~lA< z1Q0NYT9bVN*Zz87zsPcF=E5Zx&s4tWIfvM-7$52D2}($JX3#_v4J6l{rEQmgdR>b> zWG(LpajK}KYkC6WI@ZFkrRMvsp!SyKH(5kgt-qQ1a;TX%K5q0@li*m(X3KE<%hmMs+xChR!F>Q-<3bIC!t34ir)?v4 zw`&j8ng*R1|8l2%f0-=*qSEVA-+8K?A3S&v#}~Eagw~w|&k$6cvJZA{B!UP?)>M+z z`d#NFu!k}+F-d#<00dFE#`WR}-MK(~k3eOh5WE_CdB7vzEYyo^q=~mMPNqdWFrBQ| zxrC!~{Fx&-DwwtDE<^b=z%K&e1piu*Zs>pkoLCPwdM&P~b-{#&Ks$>>vk3=Oz!jrd ztq@&`Mw)Tw84#*C3S7HV5;A}8-96RpihcmwfB=@t&02?G<-`UDd4TbnJ8qJsO}spd z_4jfj&yM3ok){W^>JC^Yq7(SJj(0l@JU6KNSb4pRjgRN+k!6(TCEe2gel~-0Qo<6v5-zu`> zhO~<~292o#g@(VK1lHe?Q!fO7)HD89(5T8$oV3KBLot+n4RgF9tnqv9XmD7`zlmb( zG`ERvKJ;PF{El}4w^a4f)W9GZocX|2s2JgQbZL?;oB~RM(>ktVlKCyePld}rNf*St zWN4seOKPYwephQ3&hL_=Tur;tAr_}gadO^Blb~hGmAdN-nj&nA{#;&o9q6bO#PQ|+Q__@@~-dPt~Sq|w+yku+WuBSRXl_`9vZMAzf(^* zw*QvTNQQWVr=8xFce;C%D)zpLwTl)jqzW5kFT$d-Uhnhg&siMI>!0tCBb|;$)}u$O z|Hmcliuw5`?HWGHWyDvF;EDM7)jbGE@9F2u?OlLnZ9Q5T{=ynE-5%m?JP zT^Cdn$THWD`*+@O4xlK|K7>~8m}%BtKq1Io*cEIu%!;lrZsHa{4mvhQ#VU^q3ig{_ zP{sNN4pc&8F5qld;-;C;i2we`P$i@lUU=xMs(ReIL8$O*S0?OD_`d|!;qE+tdZG=s zFUAKChGEPBFg_hp(yIz~mh}_cfyrchkCwpyRT%>4i;9Ie?#>P})XH zzn-quRhu_~5iChs8lJj(6>w(*AXVbjezx)yACnJY`liJ91cE0aJ1;V)NQC-JLcE&U z#qWG+Ev!6ljrpuZ*Efq9#oA4c?@}k%zsCn}~wMniopblUHCJWv_ ze&xbvCxrscHT1Tf4+_F^2htM2RG_9GW|5(8k$gtklPw-~Lj>Yv{2l8*L2^MLO+ovcR|7-q;Z!q)4)>qZ5JXzJ357;ld4wI2BsAWQ$K}So} z?it=n`nX1tor!$Ts5Z+D?mcp5f<}J7^9<~}+&~~DAmPSK{jZ~w3kF4Y5EKcQ?o6=^ z2);@er=@U}-7f$oUAuAEw-SGtpxKxHBPINujr=R|Tz!-^`u#@w)#nzce}K!1QzEHk z2dKKiL>-1Xpm=_h=mwo@`*Ft)UwN=uBb60IE}bg$O~}UjyeW@ul7w^;&par9+xyA@ zy9>au!KX5@gG}16`S`o6nM=MDx!ixyi@T&Y;JK<wlg3@Zl&v`h4wJRL-e+OPUMhvZS|k>U*khZXcW@k2PbE5me1YX zYj+<@B>Mk|ep;+_+Pk99bzf2C3zuvX?|f4qxU(?kPg-%1GrdrF$(+6P>hu{-X2z`8 zw1jvzp4fB*%eJm>X)rhoq9{HgjO~zbX62_};*1=$dTcxYSf4uHe^K~tnd!bGfZYFW z58b)rDfea%{Jn3lOdU7M&YW}zMD$12U4lo{*DL6Zdyj1!zLjC`Q+IajLawXJj+@$8 z;YcDsYbBw}?>zR>uqxb{l5b9X8QW<|qw5oFh^|+o%2T!Z3e9*Wn5)5H|5MqY`n{ZT zZpzM@Mw##~4V@KPdm@0HuQ@m!FAz16jaNRs=`a9ORFlIJqc~7bHEdJ2`aM+O`?*?B z^*VMM$G&l5q{OmK42xtGF zDvA70l7$Q{4gg%Mbx&m4V{;As>}+gu=JxTSUg}(5Pk(!h^EtdKmFZWP{WVDIxb$1_ zuSv|*Q+DEo>4fQyaEPTd-$M67co1~OoZ%qAkImceKXXP72JKh_T*Xh)?6nGOpZ~x!+*mB1C+2+kXcZ@S+y%7^jAEP;*i78*ju!H<$=o)PqEL0u zh>OZa<$f1QJVg*co1bsSTeCNigPC>Mm%^n^c?>b3X>4>(H%N3k(fY7X6se6L5tDqK zF21g9kNK7%W~pI+Vovxk83aW%&f7rx&7@9ufM4Dg*8`K;!aEsh8~XkJAR+qpojc30 zFNT;Wt4@zSdgzWkRq{tVnbfv8QiImi%PlYFz7OsPxPE*Z=8}(Eh83W1##Ei1AgLVm zP(C2m*QMMl2x;#^X_OdeMuWsQV|;{*at6^Kh5u%DzYkXbW@d>4GSIkx|9(cCS59Yh zX+BwX*)7B1s(|wVA5#PEdo#-=O#pCRhp1{G^E6O$RDqi__x{2bj4(vMeQ6U^Bi#o~ zMarf%*z z-fj3U1b6dY(|$|XRD?|fR$88wl=yH^=f%)IVO$3ab!wAczHda2~3~xb$S93Q~ zH58$8^H)aEBVspZG1i3$?U}fW1K@>`=q5OY-a&JbXO+`kCKj_f*JK`T#6|7P8Sjq) zTV@Sjy|D`QzU!mk%nGo{Af)mxzv)n+zWTo|jJCC9TL|kKUKa7VeHC-s%FK+?f2fpq z3)CYm47Y{WI)6}B{akq9;fU4GR2g%_pazp4qT$b}Em0M>$4sD-!A&L{-7IlosQl$g zcSOX#`YVU+99vZbBkB^_I4=D)161*UqAkaID$kub@=q%f00pu!+@#^##PM-}YLNh7dqp zK7eF_byc4gIklG~`hOi2}0{%aqA%)M6lrH4GfkP|9KZ+Uembvb`FJ$ju z{8=RK;_$j_7I23X%;}Q~Y8>S(aJliY5)v~ccxB^pxfL)i8k;Ha+ShWsq{K#ap!ufP zUwG+kC0-0{dMfB85S*QqJ>gyf@SC12LO0oY4RFO>TRD`J>-ES+I)OzcfsiI4-n)Wb z=+DhBNLnk%erK7c8$dPLpY;oS?~eb5O}A))uvZY!{I_w-H8+;$j9}eF<20B0{Vgd> zq)aSPec*CQqByhGidD>Fl4tZBhh1M{Tzu(hO&9APoEG`#dH@@j9Ytg|{g!iFb&v7A z5#YB1k-DWT-@0t*kIc=n&xV?x0tpFRiyvJd99U+-VP&elBH7ZqE=q}dyzZAFuVk(2 z*_)Ju>9oevg?F)VQL(+>8)~$4xJH{}kIkpYt0t+ej92Rq8W^>rQz0IaDV`!baHivJ*+^~V;B~vxl!wl?q#hfhmfBwJ&`m9h{)=T&eWN9-~lKt&w7wbDN($hOg7%(SFJbcJM!O43d2(%e>V;?(?IWZez3|!o)0<~YF)+?9baX8jQ=5MmNwhgk za6^7m^sUR41djk*f!06ihmX1}d-oz!^Y(Z&cnqdL)&H$MbydgL{^|O=nEGW0XdQUP z_uBgi5J*>Hzu0EqL)x>8hjSscYO8K)-~zpZ@BpjGMUm_~Ol$qXmWSj5n6!ZNiJvuTnXum;rdbH6i;>Pwo zQ18O&+clnCUyysh$@M5@u4Yun$jU@c%;KCm+xQpf*CM`;)=Nul+b3^Esdk30?SKJo zD7N!J&fX)%{m<4#)`GDKRvAw9=~;W;*Lz$wJJD|tA0C_~;>?4MJCD!0+%;Rbw8oB@uG#XVeb|sZs4(Z@VI<8(Fjxa?nG^E()LkOF(Iw8dn z3@q^L*6OmQEx-L*u;}r-n@`gqo!iL+8|i zoeqqz|1%-Vc-yx#zTX1$7@TRL1dts91@&d53L+_w8U{>Rq~L&UEU_GtbKnK2S-e64 zjP4aD&I5iT?s%1>g#2Xba1?6JYSabkS+Thw{?nJ?xbn#Mg~F-2U~o!^p&G2{N^b9B z-7|f&s~vPad+xCP_l|YtyBKv!UFVqpG2T;&3k;1hB&6}l>}o}0Fyy?Bh2Tt51x7i~ zp|oK4Yxzr3zsMaCp4tcx>Wk*Xyt2(aBs(1gp(YZ9OciHhPXUVh$A4DPR{!Xhw z1FTwFT#z}i5$`h;uRIU`%&a3B;wgUf#|Tfkf@oYXyl@3Q2zQPAp>MMc{(~tO4SB!w z%eoa+{}WBzE|vh97{M5*iePz!RxG>yJDhf}LpddzkAst@CG=Zeo0V=LJkCHYPCqm~ zvNPvaTJSjIt!$yh&Bl^WddhjO6mh)*+2lu=nR<7nXsT3&cX2G6f_~M_Td6gq&9e-# zXhc{iR6^d##H#LQA# zw|n0(u>DpHl_F6m6!-x!Cl;y@x9~Ny$K!xtrAGj42v_!>SAhwOuRu)L3f_9fV=WXq z+w3sFkds-ybJJVT{UOU*gl=~kODd{hw+4n>C>-@RyYBQ+JM~2Y(y%9%KQ4k)pm25p zJQuf-*3DC8<>@#4Pq1nRu~p*ZCrh3y3zOe2{KEFuLZ~XC!N!;gtrrqnOhX&Ptee`H zyt@1{x$vjubz zJwX8!fs;GA^cf`BkcTM4S%iWbzuLcU6bPV*3k%F*n1~nIZwlNEn&Lb^BN52 zByUYFF-k=S@Qxaa#bA^JOaP)12*Nw-6+ZJEV|ygX4_HvPe(+*d(AD@%Sn7H1 zko7bjwmC|gsOH4;a!R+er!#b(aA>?|#K!Y5H`j8|BIsKEOF9&Vjk;4Cns};r9lk<8 z>?^i!_?F@Q@m)^*>8b2(o-JK_3lcx_&Ln*1KFqCm%+uc58i7>7p!oMeO$VZKeaxGR zXW{s;5F#;HYCVIO#XCD0b+!#PGEU=OdOF2bqKo84J$gY{hdAOR`93U78i4z%@K`@S zKe~V4?)fmx>JErN!_Wp#g0v(>d^8@`(pHCw@a+t84@IK&I41|{6jiYvMht<)l1w0+ zIIt>UgvTO~APLulD3C!fTRy6w=}7(_%K;xBnbJuPQuT>RH{W<@&D4`M3GH*TZeG0_ zngbX91B`gy9PloJM-nj+vM69+2!#6AR$*XtAc#oG!J34A;fF^#;YDCl$3m?}^tiS3 zdRt(3aY0*L_Crm!=Jk;mZ1;Ivbg$I^@ObdXi_Uy~TKkXvtZTBZ(p@>*@vP z8~`IqV~9^`=_FQgwMm<^n&fFdxuW<5mGN$7Z{+niI=XIqgk5RQO1v{ddxUsok&A%V zY%Y+#*?DuU;)40N=I_Y^%Z#1q)VCFQ-!Tvr(+iAd8-70%c8Ov=dtm98zPyRFxl#?_ zk;8p4LdhGp%%z4M_YRZWU?lm$%2k0+`{2QwrZWTE4h?!ewUSCorzPR{z;eS z_{K5QXtla&$i3f_$70eQ!7{QtfBH{U-hPT7dX-fI7r)B^ttP8Ym7fjlf40Cl_e4d5!p%m@@1B!f0L56jr7A#h zVG&zFUo7yX3oR*$^o#@t$*zh!rIy4E_`nZ-MKhQ8VhA?xzQ=;;8GHi?N%c6%Zb1-9 zE0!ax(C&bsd-U|_{j3WR*qqz-P@^a_i6-PuGoT&k%IXlJ-xNZBBnTXKNzIMEQAfFD z8lTSTGPo67O=bA<-Pgu^I7ET>OYKMV^CrG<=Y-QQ=zXGH)I(6LiUBmSl({SO^V$ago>}njh<$38BHZ9cb zh!}g1$bETKFA<1_&?_QUL1Lym_sDv>Q-btCTxz9wGtCOD=oLj@A_| zo-~;KCVeL7zJHQKM@Uv+gqrhIx^j$JkPR$RR+9ZXal*brDkl)*W*&@uh&^&WTQc6n z8kpY7q5Hd1OCmIhdoNeoEZ`+9x{kkVdN5Pq#we-$43pD~3u8Ym{<5uauEx);aqlMf9-|Kn9g%I4 zw1{Y>#w%wv?SD_@UfTHo$g(~NJKq>3zmku1qHjJ!R%c%Lvhf)mvY!CX&FDEkd;0XK zAFIsv{wa*YYpPEd_Tln)z3>4WChxGBF6-8c%RM;QRY2eF_fL~#;cpX>KK&v)v$<79 zyKueg3V1C?lYx(9w!M7uU_f=x-cMovE9wwtvkW9xP(eYWc~g9N|DJ3|z2u=f_R>9y zn$3Fpzo-T90dPhNjLGMY%wk$U^WT`vs3T(vKg5{DR=xNvka#{ql8!g~_2V5u8p~{r z9s&e0hNm8)HsGy!7Z4DJ7~&BCZ44B$V47Wrk_)*1Kt82Twc(dLgkVdq9^et9cc$)9WBm{2y zd6i$vzyJK|czlWW=lweWmK!Nfm2!9LifjA)(Iq-jYNPrjwyEj&8c7y=o|0Ra@qXC+ z_-?x`pbw99G@L1KIrJu)fdN0fiQKMRh8Y^)nNhL}JKR|T_W1Jm zvN`|q@JT+fQ76wboMoUgIP+&Js>YVaW&U!YahyEt@(7nN$rvE>5iux4Kho9(Hvq33 zr1veJ?p;`oh8fzdZcN%ft|t46U2r`9c0wVNR-Zl3z~drgYOh zaQF#DqA7*kihK{YBv#0Od+lHOKmQW!6zD4O4g%k2p(D^HhKOR7G9Uy{vhG0$6=1AZ zkE|4cv4kSS5`PB3?m$)xzu*ICe6zgzLB^LfJAuw0d(q2ynP7Dz=++`ocE|SZ16$$k zcL*2=af>_h0#9gGZ>|>Bj@Xsc)BPiUsU-Ae1VfdFFF^i0utiJ`0z8<0+dSRjBF`J1 z%9~a$@Z|F&seCe`fQW&E0-YD}`U?9{uw_-vpUhVPS8m40x#Bd>wj`7VfFZV!^aEEh z3YjKuRC4qEfnCLJEF)!}ui~L~_c{`4JOMHyA*?z-`eER!3k+3e-(D!YO6HdQ(wrPN zvY(RC-X_D3w}{Bb$-p}}+V1DpOg-sYiv4?MB?nM_nGKKMZs6fSXnKM%?7&^F$W3vs6 z)^l@lIRG@4d}?NIc)=lKaSt?f*tnY?EZ%LuynWP7NfxX|0;Vm@jE%MBePp>lm*)bv zbC!w0Cd=jfLB-$ek4cY%Yl+;fqg<8l?e+3+%)9Bbe8bq z{!6+~k8iAt^NXZ76@mtNHS}xTd~PEjE~^~1d_T?x>sjPRz-;L?NnXSS2`V)Nw)nlX zeAa6iT4d&=WrwnQ^G1j@)-dzdi=jg=r1XgJXy#lkv!TdeezYQmEjT7yBH`l5c1om^Z zH>gEK`fRO5{?nFM?96IZ4{H8-Z%yhGgCkyu6y?(}^Ap>)e>^FA$%gicCKNYULU3Sg z>oKI&r!XZqacc_7q+Fz#w%iQ$jcq?1uUUE}G%bW}@8rTF#9q+4j2v*d;ouscn`_QC zxxuUGZ6wb!49-}ROHOGcqfczhrsl)Ne(1Pw7~Cr<)71h?znt3}6V!_4XA+KIu}i{# z$qom{f}ZX=zoOyUMq0ANjY+Hoev!?kK;+$mf`WGMfeT4vA+T-3(1+ILLi=C?Gb$(k zDe=;&^vyhQhfj1p+a2Vlsejzi;FJsc5}j?zk?|h1#P@(D`&ItHc&p^`eSHLsEH;(T z8p9Z(GMSRwfxsoWXg)}twe5*uJJrxbenMQOsG4Ey>=^{Qes z)}Bzj;1>+L_5BC_ft%O{LY9rR4{I#X)y~)=iB!=qgW?M8;+!Cq>vg8=`JqYjMjI-59y6hEqnXm%BK%-%T71l zjQv!b;x&Ea z9?Q8GzRxUxkH*Q%752)lyTU&?htPXID0f8hF28y6X4?|@oi53VN*a#fdGO@uG2Qd0lx}7Mvb)VdJcMrlht+=n_B_6qfIY;)+nZ$gn_H?3eI&^1j+X+Se~| z4ts&nt|F{{XySX(h3n=1S(Mf#(?;+b!5SnVUcIzXc!@tszVElv(s1h1aFWPlw)L{I zk7b#1PB0PPMe8Uaf*x==UqV(+vLGBGlUVyl` zo%)KaZasBcZz^`frFfAxyZOA>!Ry)b^A2@vG2@Nt#D5k1>Cc$0k{s{x_bIn|?g}{7~&Johg)GTzC2*+T~BNE3PkU(PX+< z_3DO*%*Zf3T;;qe6{-71=Jnvw^Bb1w&ymV8B<&>pnUD#Ju!0K;I7pdU2$$oJC*ta zTSr}ZfZA=F0`(q`2WQR+qF-tEJQuhM@d>>!PdvWl$RwV-#n)5ya&nO(Ckt;P(?ZCJ z^M1-`xrBfEKPpq3>yP1EHVX6h8qGB-%TYMdvTy-Bs{H4%1)*8_9i|-gQwTv?HY7Z@ z1mb;p(^h%6%~(dT*{d^HE+=)R2KoT9r^PCq$fZ%n-iEyU`Te^Va*zv+3==>9aEHXm zV)=fMsPLW`Vl5(r+7rj+^*vWw81BuipVu@^-(yxbyE8 z(|8vsd$b$_9NcKXqKu+M{e`F-I4lwCgF-~Wp@Y;hsrc$M^lx40W79c!mdQU5S~WVb zV_G+8xUS&K$$|~zLA7r7$F3Mn@mOe4Jo=yiK6^~;ktL0KCHVYE-80b5nE7K5>y4Yx zT;5IveP_55|HaS)&!j0;NNehkB zcXRLh`&T}bS5y7{avkaH$t44CEZ~(SU62feM5DaN!Ufhe|B)P1v5yw)=AKz4&--d6 zxPPiyCaY}9K>asA-UbJ`nb||Q{~Qt1G7C7^XLFKEMa2r(YCUpjZEHhd5K9H#8Sz{O?}9`{Zelmq>BRfB`DvzG z+Ds&6)zHH>Ff~t?rC08#e&4@CrBaio7r!+`N~K4rG;zJKUJIGh%7ur!(#4G^MH-Hw zPO*_v!fTP20%nZ`FUSaMFI0G)kNqy#Ky!$E;zP5iSSkh4UeapoPDXU3E~l}@^jYO? zHLp1%H6$cjnlrRb)c56NPxv1h&9U*otbVhjLxsbxl*yMd=J9pL78v<9C-e!04-MZE z)m&PCMgRRNTHb%i5rRW6Hw`uj{ltDsSUY3<`+>?fRo!VGI8!k~H;mxr2ak4!z-$X@ zv1LQW9{}FjVW7ZPl@Xg$T*_wpAN|F2v4H?>g%~GbIR>d!vl+AND^@TQmBK-k-K|R5G4%0+jG5P5CFF=w`(G5($badIdxs6}RA=$F!MP`7L zQTLcz*-CEkOma)7`H0I=q9FYbuVE-U&;dP0Hq%r^MMYrGfh0i$e1i)}uReEdKki}< zy$%qlfy6^7f`C%ubp!gnKRQj=#36+XKNaw%UVxMI%~S0@Sf0bW#NK`22xxHVjm7pQ zoojpWAXgi7cmMzG`4MjJh$Y-dVnv3o1eEDsqVK!9 zM)exZpb@Iw8)pAU7<8_?etO8AxlCq!C&7jF#IS@F;4$f%et|C79ok3};!=E5p$Jb- za>TG}Li>gzW*#bVtluzFD*GV%PP(I=W-DG5XMX7Qqa4kYrfG#Kh}`GU%T=b;Q)nAN zt3>W7o@e}$G>9q_@z!3~Uh{)4))fvpS$cGDA5_69P&oUj#OZ&Q^s!Y^An3Q~r)K3D zGey`)4TyB~FZg6jp`Q(~<+wV(G{U3OVQJKwx7d=uS2EH0V*i}b-0KPHe6#vpq9OO2 zWb4ju$z7Y>jzy=%5d%s4be71EBCF28W?W~hE{*0a$t(?OA3~zpKtV@Kh8LHaoeh*m z7xyE^9u(WwqVg8s$JckdcfT`xPMmKM67jo&VNK@PYdnAS=eByjFq_ejEbPQxB#en1 z&hDXqY>V78zD@XKi_8`8p0Y@5nwABEGsvb4C-y}vUtTUP zM-Nn}&jd{Vt<4QWiUQ%}Q02tyv0ZfM!`C+h`eE%mVZXpvHvKG@p6+MKgkj12$b(Ns zXI%_EHwj)jjj;yIeqy;M2VQ75_Qgv7;zfzK-}f%y#~_%IIK>|x_D{M#VlH=6`csz7 zlhAO!ZnWgX9>@o$06#9){}SEirv2~Kz`RYC=)Co~5ZMDE?KPrEzy3}%4F!g)s29qv&wcJivBlTY8QoOdc4bUZD0C7=!owCX zf0&kPJqw>y>Gd0@KJ%lmW|zl^_9aP=qR`Q{x32We{FD`Gm! zsebn?HHTC(J{gtv?&V9)FYU0@a8+(nZBDnJSE(}yZBbT@sgrQji+IS!ADdn1(`nUm z@|HtRi&7^>Jy`?0o7jE_*2^kHEyjLk$*7IT;;3Fak^OR-4di$bg29i}ADRV#fZgsz z0MwhCn=fN|t$poGN3JpWuhA;=zA2ZMyuhrp@r^XNXVWFhjDrWZ%k=Pp6A%dE zD77iiAsT9O{*%wCpT`cWBEN)?3>LFzH2x={5t!kJ89SspAXwVc&4o9IU;_Xy<~5u6n`Kr`bJK0;_8R;P>Jv zjjW6l;6+6M+KwW4{I@ifsZ1QDo+aNMrVLVjauhK=7P;%IhG=(rSg3s`s2+5-VY{)E zVUj_rv2xL*b2Q~ix@m~yrs+uQ`E+YNtqB%W=|6^(eo#v3Oo^`Xg+s+~}>V_;_# zFBfazHsF|ti{BcAQ0}2N@$qW}c@%#=O)4P#er)gKnkAwa$;Z$)+ySi=-3bUkVE9@J z6;K{eE6?6>2J(#?YCSp@t+F5*l3!;)$Zx8GR$v3X~n<=q< z19&|t`e5vUF3hySLezhP=a4AC%aKl7_~!EeeEyH8l?#by;noO(5zc@7>E#%<_SY2P z=SD+GpiuZG2)pQA`SinM-}LSv@8LLE^9nt)3)#y)Ne_p;db0k5PVXKLMJyNt3r(i_ z-IVay#A*ch*u7D|Z#k*ABAhMI`BJ|ejpDxR7EE}6_>f=Tr6V=Lc2s$O!CKp(S+MK5 zf^=4_qtiY_t*`xtHPtU)e z)|RaMrEOi7VilWW_no2Ee=w5re>7bOJk{;{R!S)vqL7G=5tR`#vga`)qiJM>6j9lu ztW?6WlSE`yic-odBq~ajnS_jt>?HiJr}y{&eBMuQy|3yx=lMSOeP8!AZs38oJqADb zv{diZy|>h4e>lGdvIy!V{C-yBDTQTbX3_FMRLf%l3(beGWzf-i^i$PUOr~*i@j=%B z=>oqji#2S2Ig_cBl@;0XN}V#h9xiVr6zd69NTO1JB2Y($#|juY2wQ|?unc@7BLf{w zH8fIvExhxd@sXSbtCyE%O)oZ^_pVLr^&C`c2m^R2@n|r>CH&Td=tacS6P1ZN^}ziF0VwGriTN1-Pq>l*!UEa|Xb?Zb>x*yC zz&IuD5akJeKJlFIta4*W&4&H20nr2Mw=Z0#yzZlls#N{EdunSxaMty2 zwV_^e3$W0lyakTo{krEY+r*nmZ9Zdf2k~Vp*tpc)!&x#qa^%X!9h!tbgU*xKVIu4s z)=N=(0e4SDX^It3lK;U2QE81Nhdc`vhf!wi!6p(CA>RfC(+LEZW+M&g9v4r5+yUCM@(P zC^`Z$PU73yv{rP*cv`b>t=+}(BjH~zQ(Ub)RwwPhp5{es!M&erLA^xHGUW~n+qtI}0C z3<&*;Odw~^OUAssr=)6-3FutCA8#v(c$D+my1q2$N>Ol$!_tG`2Ie-mZA<7o7H8FA#gq}DmsBE1prH)^^X>E5LFGZ1`qQ} zh0$_&;3F|arx08?YlvI@9=s_3=3?Z6J&QDEc!SBnOYRQBamG$UvSa!18^m^nL`4IC zjMAnM7uRKDx{7ZmJ%4>u(RdCUqn)=K-W^$udZY zH1<3j1_PG9L1DIIWrBMq{7#94lI}5M49Ja)z$l4T1#CS(@;mCn&d`f)j;Ol3mKJA4 zsS6BDOsxO-^2~lMfajHkSXJHK_d)>`276eTDBrnzmjU{SE9&0^sH{=8=|cjLPN=>; z^He1LitsI8&5@G9FDGgA^;@46?qS($++B4*!+#HR^x;tKsfHe4EraGlVlyo^=Jh1k z*3bIOFZ)3sg5szK#2#wGA33*8<}t!!S_7~NgtJ-Gk-J`;ws`Q~!I^{Q55K1~eo%~y zou{%~9hk$}krgya*Zx|X%aIg%z6-!R*>@bVhSJfU>YmWbWllP9> z%fwpS*h>+2M<@sFq_u^g00IbQ;<$w23CdPvoRe=3lE<5E_@c%?Uva%&(xW1|UI_Q@Gp9ZEDs*%_b-4sEGw30#%4DFqUvHy8O5u zh>Iacd4<>yA`dWYL5UGjqO&Q~+XW^7IVQQ5yr!@Ms06icr(E(EY-b*>+&Z;cB;MO10Z)0*!0e z$fQac(nL+Ryt(GH|5jBnIXYt4(n|;#>#Hw`B=JZ0;kMVfgpLnVPmQKQg=9LRxD9XD zg;nZ2iGP2=&L!hg#DcwmdXjbY^w0Ln$t=O37LVffajI}US}!>hmvPj{D7x;4P_w!B z@~gc!DKtuw+NN_Bdqdjz8xok9d)eKb@e0>a<9K~{r7n4;=&+d3ZV-zvxfFt|@I?p0 zAPYD#>b5n={YFN_NKse{jDc+gb0pHSckK}$ROmaqf%0N1s$<*;Mk7kxjj^9-fZ5KD zOwR2AYf20A%Yc|{fQOpXh8Jr+jkOgjBb)h`*d%)OzMK7A7 zi^6*KGUWL5$_Z|1qQW^}zXMPwD-ygQ@$*9_bjSVtK{{ztB#E!@>WXr1nt64*sJLa)>O*(vfpiH9+gp@?8 zTgh>70B^A#`yZ}}f|L0neJE6Y6Qcl4(&W9i@$x`E%5Sa4 zixxT*GeTu{Wj9-;JhDS=MW#y()4mwnm9?95AFt*<^-u63+3o84UNK4%?=)#2J@<1O z3YKbZVzc7fa$O&rJtzLb_7%z@`k;C=pAjxV_)5!2!D!w2yi(D&Fvd1Ank=c9{dh2;;?FrM!BZ*#IFcng~5?` zEuBz$&=3c0C&YgcOodo$H|(J8GzlYuignPv>%U1e*&qEas&1E~+n%Q}4r#&=3p%{n zwDP%!|Rt3p$LWwLf@yW$EB?ZaEaAEmMUdJc1z#4lvkAF_~gl|fc$d@3J4;c-=ot> zAA-F~H}OQn>;|}Q%$n z`T{Y=o{vU+*NAR$bxu~SiVEh8N`Bd3J5swYJnz;G#9;aIXlZvHdiM8cUn^q?;D4_{*x)X`K_%(rpX=g zV+UzLf3H#LFTK1iu#t}K-0;({GO2cTA5^YC+JD{Vm7=&WtsmnUY`W1vklIQxHL$^< znI?ihO!VYn5Zwxbxri$(+M3L=#*?umFbK^QM7^xwRzf?fESK^cr~uLOz4yms8w?-| z1r5~;bAbB~7)JzQ`g2^Jggae-;0!hyFwXlT5)g-_2#B**=#LdbcZ2%T{ru;HpZWz1EW5wQ?S*&Kw|x($Nuf z38Eo$=OC(kVj)5xn1=b{vQFY23%`)BrXi3YUDLw4i(`-?oSDezDh+~+s_HBat5frRop81!HI(D43 zoU{Y9rbq1~I(-zX3efKlx<$#a|4i9-Cm!I{nDY@) zf1N~7BP$ZEzVNyD5ed~*%u_2t%LR=m43!LXEP0;wpM3)>+e$i_%_vRq#F~qX$TB%k zdS_g9tuG*;OfV1ESh?;4TjR@9UXbR{J8kaTDt6~2$P#tylGmfM_{@%md>X6*hAOEZ zt6nDl)?=7Z|2bz!LxbF<8=EHh?FP<>YfN0}c~FBd6GO<`%_8Xb|F-sA4*EiGslXIw!oyyqPe;wJq3_&mg0r8kn^2pJ_P0psM zsS4>1DwZzl@#owHs*)Q{A*Q2V=(=(RcdZl8+ip7@~*M zB(!O&lU!bg6yawC?TxVm5fa#gojpteS(m*&U`SKr+TrNHvo6fk zVQ0;aMa%t`Q-4pS+HKa&afk`N!?c^fxcannIpA+>%SpvW&w!!}3L-B!p|H{iIdMDI z@^_n{Y#uz-Q|)-;tdy6CLK)AUqZ5 z?6HrZH~rcZsdRm5Y-xV!*9W!r$D@;$h^;@VO(gG^7?9w?E16%Iwp^0J;3x*6zkbz4 zZZu=WY!ynBiC@COBwq^b%u4ibB){;y#bxX&i5(L5EMEN?B=FFymRO#6P5$VfEno6` zI{gzIGZIqg*k**#BkTw~+E3CmJXp!(>%A3iz1l$Su0O`G2*6lPWWMMR(G7v|jElMw zdK~c!!-q7SL9*^U&Cgs7+p3^*pI`oZ>MJZp)zt2B$x;38Lt~|!V!x$XeE`m;ye<+M zd!Sb`-BK&fa-8Cuow)pQ>(bPaFeCLr^c%kLlmEQY(2x<+KDT1lBu(`9cIk$nd>s!w z*e7yQo2O=PYAyJyaQcQFr;*a=)Z+KK_$2nsHP`#E_Gn76QU#v2GlMbwx^D2C@TG8J zMf-ItZeJE-@dR}tB?uSm-{;7HYm2Hf2W+)q>yvRrm!-hu{P=UdtWOx#NPQ&h&DD~^ zkKlIg`umqP3FiWMq5{$`-*IXpgnE|fK?q-t?r_r%@paepKsR-xYJ<0wDIhT) zpBDmox2kR__~80sAfZT}n5`ZH@Ybaj!)2S~xB*`wp>a2O)>`Au#5wyEOndtX7XC6G zqg#P8OZ?TB=bUeSLWFx3;8CZ1L2<}~Ua zz6Z`uh?Dq;T*?=U?!MDcmd;W9`SbfREqZT1Ke}I_vE+4C!GJG4Cnx9IZ#3Sr*5lu+ zA!b;Hb+c&pO{6o$;6Sz0JsE23Ar7Yq()h=S>=ahrvinFd+5ojnuhwMRD%?`OzI^SG4UF*>^a>z_o1mNcony&a^Y$G zy|Q%=%SfhZr+|<+P{xY{WgJQq%%|*xm=|Jy_;P&g=(u<0x2~?PxLqA9vB3jENiIZ8 zt#Ngl_95w6W|Ewy!7B>?M*H$*9MR0prC4hOxz5q=+`?HBF8D|#m7m5=@zibs;SK9= zHco-U!H>$v?NwLQZ#v9^07F$>7Ue0Ag7y)7`grOItYl}$kN752hm@(N6Q8w0n{W%+ zeKTkfb7V5Kl;C`-dns&<#Eiz+ZVej3PIktzMeb-7DlO4o9bLjFt3H7Uro0BgmwZpK zo_fyhxvu35i|wDSdqU6Gjq|5zo}hiQ%U%ske#C2$(EH1z_Q|Yw?H6B7<@Q z%PH`{vBVl)+10L>A}7_)`)*75Z;ij>kpWH4g^+zAISaNkzADp$MwXUcJ@l{Z>+8Ar zrf~T_>x)0?tyf0Gb#yy|KUA2m<&e`JaQQ4RFOLvR(wcx*f=~zSsgAIJw7gumC5IhW z`dioqK(0Wnsp;kIOV32(BpN-g_?tJn=x}d1KKCT?OL6s36NzFo#-x?^2SyI$M?!(n-|M^ZN*~KQYQXb z5A3W7`*N>DJdN`mMxpF%A;A|rO3Sp@NwlYRp3#CRMKh8+0;mJI*0IaLa}^5uKS*Q9 z*#RUN1{_Z#(5>SdASrr~aWgL;rn@nm__WadsdPCTsl1KIdEJd!>rrjH;Rj zTY^Y0PrW{xD>Y}a-p?z~JpVPeo~*@pmlQH5bZF*iM&R>3DBU}TlR)bK@{7s_<=)GG z?n{1;YEAMi0EHv<6i}r|e#s@AD}=^zrUfxPI7Iwj5EoXBPNP{`@l88^H*p5<_x!$* z{AaL7y-f`fqk82X%EU0w9zi0B$uqnEYMV!gky!5^U>Ad?hhbMm;wAt>l~|0eoEt)I zWFE{im%?UhcP-ou(PAj@awG=?O;|i9Bl; z^yT6XG=2&%J1E(9#?cX#Lms^z)Z?gt;P@(T)_d6|k?u8obs@D?pjR`2xfpqLfS_{+ebeCu6(0-FlYPT`Dh`& zk7|W}!Y{S0#Cx_ko0_n?c4Sy9Rq8n2sJ|D4y4w75#+{3rTk9NbQWc%e1aPSO1g9x? zO)$p}yWb`t#~>F4$T)GT1@=VPGnh26+$4)L7)p>jOW<`X)**ohE0m_6aU$lN?ui#g zxZhpYgGp(51#JEt=_-Jqh(7aOSTIeKeq*aTwgu1}kp!MVb>8yVb$9anS7Wm~P&~FW zE1G;>vOl+qb8HKtMdWxzHJXDPtgB`@(55_2dI2>&wba!Ba8DN40@z@ZN#?= zbCeq#j8F?;{x-tn3QZ>35&(Hz=rTfJRSuPgiI5JuVWc{SzO#;(Q`|{kf3jhRqe}IL zS`nJQ#9m%1UsAY1D6?^h8cT%V_xG!Ro?OjY$fC1cBY%{pBRu#>y)pcB@A@)IuC_t# zwE*M${FThqbst$%?Pp7jV$S0RBIF5tBM?~?gzUR8HJ?6owN4%_@idh2aY9K#7hXle7q5ywg53s+)U#JC06A+;Tlq z;`vBm*IAhPV1U8peZcUAtOpWtRYzu#u1#!;aZ?WY6k*RsFb6!#)w`c|H2xHv=nT0% zRdfw9D`M0^nlQ4e0}X%}eu|d;K9PTYj1dA%->0_G+!G#;@=-@i`SOWAz;Awr?VeWA z`RSo%q}5qixG$>q6*i#V9~`)!s~!2(Vu|=q1uc&sCz(g24Id|-dP|c^OP}&*m{>Kh zbA`igd)eN*S=2>P0m-NbiXo}uTcZj@SxaTZU}13lx=#Mn8uV;Z6~xHl$?X$6d7?7~ zADwu_{-0t5K9p+#pyQAd%S;eUp27Q;P)xC=f-7q}F-fzoAsgD`hX=FUu(LMi4WjsJ zbJvRP_Lea6vO(PPvOcukIWGmRX(fEoxJ-1oKkG&cCZ!?q&QYQ(TD#|p?q3*99E;9+#cjPUjd@r7Y(9&{t4&8s-a6^I%~WUV z!HFf=c!{dW-sJrT7JE&;QKdH5>;i82=>kgx<$ zuKC`c&;rnjPv_nI^XCs&&#bfbQP&a}KE;cjsJhIR|GbRw`3XH)R9+$@BSXD2pV=gF z7Lx-VtAIZdF{6Oc2YR#nK6>OmJ*2pFeS?VkgQ^0%w+zoTaLD}sQ8J{o%YHri+wg_5 z2CD&d6~vkgj|gnnpamdEC^3Ko@)D~Q56QHW6F7Dl9?>{B;27lc!ui7?U37D4uD0!m z#G|2|%lfG@w7n8c*VWfD%H>q??o{Cm>-I-B8#v->LuapPzdEpuzml<4pzc1$i5dxZ z9U(@!qG%m{P+&awufv7gWJh_cEw|BIianf<#cJvvX7L;EA{)hc0ws=~OvT#@7!v9u z&^t8w@>exnrTop7?2*2uWzUiEU6>`@VYP%pc-_6rl)o~Yr@FsO@l~$L6x?EJL(7Jd z0Gjklz)9dU6B_K+GtZV0i)vtwqn$5EzQk>Ky5_XXl!ZFJxTt%PxY*%SwM^Zz%=qx9 z0saYjwAA%oS#uRF0BWYDd`pUgXf&MSAdC3bVBg!8Tz`Bj^NXOL8<+z;dsjO z<$N}_Jh&~J=C)iK^*1Dc9D17Ec{L~q93_5`0b`eHFRv_m?=0)frzlQSie`K4?vv6j2m4A5TtQPPA zoccGfKRc4K+dN+nVW`bEY_|Fu|wvG^i0a(BU ztY6rZIx7KabO-z~l5UQ%#LXvcYMCiK*+2pY(D!Z0yoJt%i>-{S@ai(f*kNWoXMn7& zGmFYw4xd9CaWl#%3|FP;^1p2VlT3sv_jXzn-}tL2C2uGw50!~JKdj!wvQYvmfRuh0d2{QUWDtc7HLes*>RSu8-POx`WBScBU;)|MY}wvNBJU=5KO z-oMLy`7Qgvw*2J}N!NElr8&k$Ckby#_s6^LqR zBZl0MPyER&bnbN-X zFlyue1}+}ED!P4y1mNM9q3gC?A$w^Yzg+GcUI!I=5o|o}8CxgB8R7Jcj_ObL1u}*7OHV*k3j7X4l^OYdoA{Z;ni9F zCfr8b7?d}eQ781uTcUYY{tSmX3&tHRSl{Tb8_*-rF3PyuU-MN=6$2u3w80<(10F1Cf&dO2fK+nGqRZZiPQ0GfA z=)pkTj8(MX^FL%3&UW1Z2(r8@^&kUPgryX{;K~?-sSrKl6m6Wt3X)?Go<{)6*zyn# z5I!gY91DOG#GB?j&H=`HO|%1~MxjBqe5_&MGXEiY@l0#MN>Ej>=#V)#umOdGLM%o{uR>_HZ+(ba5t z0l^1G^{bvhi~uFd+K#EKCzVM&me*}c{TtsTzVvY1sjz&bZoGa zP4=$y+HmRIN?S9uc`G1cP+iQvyu3a+Gp5RBYs)%WhKY`k$BtiTs{wgX`1~d{rdFk* zqb!yM+&8{V?$_=TxuxW7L0wArwK!$$S3P6A^7S~cmmMrWS7%_oo|ZdR4EijA4B2-> zl!8qqz!d`eK@p4QnXGW}a9vTC)N5xxwgt6i3tzy4=^ z(o|BVhjT=*A#jKLmSD>bKw}lY=O!!iKmeF~h{Z8zN~qN~uYwuLx4bLA{F`SrPJ3&i z)*b(!jHSHKwJo-hq=-nKFWH%Ya=GNO;f4JF%FN7+;x=?UapYp|&dIv<3IiWj!W7@3 zgQ=?9Hz><+y#`ubeTk6?sC3F1#%P>-P#lkKTblZ0*n@KkG;GvdzMN!v5akje$MWku zs|lQlh24S@roob#wo~-R_QZz*=AAu0UGrZ9W3y^v3>Cwdu=RZnP+^bG98T8#|4x?e zKzuMIuUGm~#zCx=1m z4PZs#c6RX608^*f43l`MpATNF1AS0-q|UzZpVzk`GG~&m`l#YTe`+0$G7r4x1A7bX zY9Klh?)e5Ht_{LG;a`Yiyc#$OmblHcPd9{{YV-0x)h!sq(N$nMRBCiQ0`v|LBPqBh zN&JKNRJO6jv{{Zoe-@0Xh+ab925k@loH38Dhs~B2j~{C)syR5WSBTHe%1EEV%mgtY zwm26e{e=Jl{v!VD;4NLyLlSkkKJonh^QGM1vR32-XtqNZ&fB%`p@aTA^R&FwVa4ak z1|^p$a|CbE6FO{eC`Fde;mp_RjMcNNp5HQfQdA_Y`linftAC-&Gb}umi1d#_=r-cC zR>dh(9Hw|fru-m)!IdlQvzp46qxtBU-7Z+Wz3lGttLm)tI@4_7{NA!3KLu0P zvzd9P3Q?C2nI19Oclf>;+l(fkZf-2uR$226YAlcZDh25~FkGFT0;TyGj{E1|`n#o7 z6;aFg(EKGj4$us|HMr;B$Z1~(cx-pM{*=n~RZG23-YC+TZ02PxrbO?2M6ih#%xU=^ zfG~|YA5p~!YJdkD1`$FFCyOnx6oK|4Z?kUiRrOmGB{G&^IhgUo$^RrqPm*cIe373m z;_od;7KHnp@sxsk(NqS_$|^b{hvod9fn$ieN#J;3H3mNT4qngq;xlzxv|6Bt({ zqm0DuZa|~~OsnvW5t;z-n!5w&nc>Gq)_mxmu*HhR7FSp*0vs$v3a{ZG9vCGE z@&oFZnROk@smAG@`deZPbaIx1_hL!qi$$Lp~(5rfbOzv9Bc)VdWrABAWgI}RW zMw;@lMT7*io`cxdx_5~<*Q03uBk`AOBA9i9}c}$!pB%WGZZf9XuJMg zr*_-O1&w>-dvid{pO;YMQ{(jF&KxZJ@>2tY@WhL`NTaE#BkX1LpZ9$lae9G_s8r8~ZWeh4j8DPJ%yfH;?1Q^7+9 zUVZ;^0pWhUVNHnS0y>2^x<3Zr4y==GCdLs&(e?G~*ZY=9>PQw}(=|LIj_X?l^hFs( zki>*dXDt6#Te4Cf(tU$zYc){DyjJ_d)`t!s(=T<0`Be)ljx#bFDV!gI@ax;ctBzv# zZdVzkbh(#oSW9w837QCTRddjW+aiOn3HF3<*{7o23(Xbb!h&@6A^R*d?9~+h9TDcx zOsW!}!bAwmguMbgQ*PEbN~OaUgGOGg65s)vyaXZudMm)yaJq0Ps6(tgeuxn}TPGq*VVZ#pe}#T~@?2*qgoFFUZp40TgDuF=!&?6r(l@roVM)&X2vMMlCk z87HpV(Jr5mZG8Lo#G{HnH^GP$3vC4e+croLsZbA3Fatlw8dp|8fbNzV|-PU~-a;4B2#d z#rj(LfObYSk3EEh@TUVNSR6F34yfq*@9 z{3M{p?^L0@9@Gy=dmh=hgAvnQ+J>qo<$fi&edP5QbhpbKF%-$WabNR8#M8^hOx;x( zf7iZ*@4zo&)=W(La`&^nsN7QaYb7DW6D{norh|sOT0#Z^9kY2YRPcK${GE`!| zEfPG571Ll~f(s~PYyL&>1g&Mujqgq0-c=SDFQ$|A3BTuyki#L!XVh>Bx1D*~9<5D* za8e9e?WB6+W+BF3STw}C7>Ti)gcf0L#*-%e0?!*Wpg*ALupA*Mm5GKof5g;f8fB$l zj_nT>njVv1jNQYA0v?J^MtZmnW#IuOMzuxGlFk zP6tx*9J#*Yn11cWXi2_tjg_3WBG*%xMEg#03l^@zV6-;w_@5%}9$#7*x<{~0K~>*5 zpRHKfJ_4;Qp$&>-%*LjPcxr%7h`#~eKPnKsV4q4Z6<9>Vu?3w4!s>)Y_Y|3j9-X<6 zhPS70d1wHEY2cd%nG_MIBl!#-Uc?z_;y7`f`{$r=f6jlx@h`eeGR{wn(a9KEl)@6s zDS+k8iiN>7Y5CnUWFrWoz(4-X0qs&lQx5_Vl28h53Sq)b=hl-vVGyK=+p6DtTM5J# zoKF4o()r$=ggo=<3t_--bGiay(+U%^U#ke46sv6fG;I9yQJ1tkcj#YQ9VoQK_Ls!| zprRd*G8Tpk0z*!dP*0NW54V>%TLhVt+_&#eK|z6ejW42rUxg`7@sjC`a3n}&1%nZT z)@;rwdRTNWB(X?If1g!_^1gqKr-B1b-&iH|`SeuAzL;8)DzafUNw>gS&NL2XCYKJR z!qur5JTXg>y#X##DB3qlo4ATsiLkEOshWwGiqD9s*-@D=4D92fDB8Ygk!Eo+?o<0N zgq`O1cOYt4bJwyKh4s0L*C^!_@Hz4`?k>G@r8j~}oU&6x;@XNs*h}u`*1}%<3V-gy zskF=ZfRG;%A}0`2dsFXXqeDtff&RT9+tjI3A5LzI9a_cN5%U))9;d2qZlCP{Z@3yQ z)a2X87X&;8T!v2=KmKO~LQ)E`ch9V+LME5C9J4jCwL}9D%X9P}=l?)=4lPPDN$*Pb zURGv?2kNNx#2|q%nc&2>Of3r!2jguKc`M$?Ekq{bzB-9OI$s_fC$yO}&$=040M0O& zbON!4!~z&RVDql~hYRh2Zk1RiQy)&Rgl`d%U;}0*DG)G%UG_oIWRMw>a5=N|4{BRE zoQ^wmjk4PP$JD6=(&zr?eUV3kq-uR+e%T+VhHaAg%v4A_0`)Bk3mKp9TH>brRkg|R z8-7+MP_>>8qAq-&Appxjd-k8R0xc2lp3Cw0#4QaMHk`l+zvXMvG6uEm`R`f#5Wzz% z%`w6ao2L-xDR836CLO=`()`DxUvM@{!w3P(zGADLu+3CKzpv6a%87qk-oVgcS#UG) zbNDThm>5%2Vh@rjhBf$5SS_yCvDrIV%|q4=90B8E5Zrp~znR!z6vjcq4hmCp#6@2S zw>}LvC6-_Zi8noy??c#FG#8(j;NFk5zce|c+ntL_4zFG2P(Y#mPJ0#B9m2IkHq=?P zG+jFvgCQ7*&8ueAQWv65L*b4qH`g#&((t7G;eGSMl}i~GuPZ|>aj8A+Y7}x~S#!hBc^SwvOj+`r#!yR~UYs>@Bq z;hXMZ?IZP!Kcnr=ZK+$QJm*h#&uSTk*Hmjx79MZa8GA9NxPR&Iq}P1Xde{MAUwo_X zbLRTvyUyLaDFO>H*hc4QYbp?upHx^~7t3wk^G}?bb1(H+R|H-xBgB#lh>688U(;16 zVS^005FzS0*O!6$g@zF<7|tgzEF1&)1J`@4eNqg>6=)27`sR_f!1f6ai|em9_}*mM z2%^LfGFtHC@`uE8zv#7ZYKiKz+q27n>tPkKF3d_e0BFbBM)ee$9J)GLmU!a2E zB*3@xc=T3W#4o{ihLZFw9M=F@!o4-`m#A<7jtcOqi7vjh-pM%#*g@vQBGgn{egk+wNWWTIVH4Gjvq?7giA7tVwN)hlg^qr_ zve9SDP;_L|vgfaKUtiyLH0oQeeW53Me7B;Xvrzg9$BOd&f3^rvR)t=n6=2pv;&y;T z)V&K{rq)R36{b&fwh3t3v|rk?e5!A{Hw<=4Ngg+QAA!eC!s?OcFyCy3NnmOntegiv zEmF?c-%_|rq6m<>^cxGk%kUZuqT90z)HS@ ze8=dzXOvpS!XYuNztnr!d&_vOheXo5aTXAsp$#(E9QJk6(1>g3uOwv; zKCk~79)Pe$9u0Ek;JyS2Db6x}Dr^ly5H?wu^lvboXIk0IV|wtNkWlK(Ui#Y<*}zHO z%Wjr4rnz@AvSRT+Wh7XmgK1p4qjzQ__zo!sH021aS+Trs>(!o}afXx++1#H_>SQFz zsbTED%-5P&-2k#=*^qvBrb_}KkUA+2KDEBBskfttd(KWhOFyC?f84}m1vm|8&WMT_ z?;5NWF`5eNw!lII7MVuK-UJp7+zRqE(%AqDknN^(8_v1B_l*d>xduG&%*A z4YbV&PF@c6?0hVlzcn{D`v91pERgYKajj2(AQ2t=TDD zfL}VnTI?W;Ybd4h(6P`D(Jj{CeDJfF#YP=GuD&vs;*O=Nrv09uwDWI%$x$;N>XBAV zCuUrXGa~oiWoM;!k?`$<`}o!9;DxlN%Qky^^Wlk(3HRLUY_U5>z&iW+<2^(3IZD0l zjJ9x-wl`HO!Q@#SusUEb#DE_1SFp;kO2=FX#%S{sM6$*uAz_T_S5BVTod@qu6<=FBciq*1Q`(uGOn}SGcao0?-ZR9lqM1t`rFw1dNdnCj zolZs;uRB-(KjQ-8RI;JPIZuY8KDV8QA3?pEX%`(*wMHB{Vgf7=wDgd0CEuw#Jf>sw z@+bX}uDqWwSfls>TA!>*!&?jPZ%@SAGtnjMU^^%Sw*2!F)8!7VL` zd6`gt#(zQvLdPun@QIomqbnV`Gk0XX++?@-yIp9@qP2yV>xLezI~(<5fD#-yx#BkEN#LZ?Uo^iU+(m0p zE_+_%QsQvZHhutCSVZq_nt+pN>>u43vhpm8dJ}!iq+@+x-Ke%i)Q~ibmZVDpZyZI^ z>-`6I%hb6j8$G@&Ha{RC{?DEZ#;ZM`S^*~`V<|`?xMZ>EggMdeCI=Fg3W|upl=t^5 zW0|WGRV+B3ZQkDB2M`C4ESub?_J_|^(>!+_9n+Nn7r3vKzyHnRo*Q6(hXA5jKHx2! zzg`9D2AGhl4L@;$S+VZJX?c;rZwIiY0)K=dh<%F!E( z+f0DMv15e)>-s6di=kB^_NNvBnnj?&9fNHZ@pPse>2TNp@QjJ;-?hgqoJl#X(WrUj z$B@h47zCZQx5s@)>;TBih%%!G59Yw@Q7l`qjBeJL2>(izoH~OvX>=#4~3M8+U=~ z#(x8PDkz|AH`m0aMM!2OoUeNn)&Bw2^uPz~U@*u3&vXo!JzP+UdWkeDn0tU1;U5rg z`Pi9$@Mp>x+-o?1Psj|jFah+D`30BBCx*hA0A6-Lh=(o|st;xwjgx@M$ zMA{VEzE5e(P{EGvfhcZ~*z0{qA`S-~33Y&k_mjr`Nr3Lgvoj2b@hDZ3mh`K)+3?-%XPsN)ZCeWz%atbPZ*uK)`@TXjKCa*9ho1A`%{!CPu}}M+cBRg0VGaf{ z&W(i)%~`#qQoDKW&*>r5;voQRAUXpf;NSM=V*8gbS?DMP=RS6I#YxR7($~oyi9Zm+TGg9#ePt+?$uZ;BGkim?|~<w22{CUf5 zV|nx_qkW9oXxy0&=JC@?Vn-b}uU-K%#(l81nb)t+g9qem_V+hs55k`YhyZrNjo?N# zcXr-iT=a)W)ixQ|iljXQ7UGS^OZy*`xEXHEU|F7(*WGOmb#p1Ep$YHOBgn;Zx13pW zd5ZlzQBHkwJnmM@Utg^GX{*y?cq(SYWVI$IeF19{>}(q_yxHMhi9|80x_VnKBa6M(nx%({ghtl7}hSLkW$@Unq6A7d_7WGS^0dp z;O)fBUM&}weE+$(mP1d=7w%`Mo%M$TS#Vl>#3_%?K#}E8;5zdYtt+m+h<@=Rr+8kp zxv@LPWhNmSuM?trOeUB+va$}!rF_QFoFcrvU4$w(rLvuM4TONy8IJ4E^O({z?NuHAE}Kk)f`aP9Hl#Kr zj9-nIPuP{5UBE`)Dl*&Ze^k2FE^7*CI5QKI44c`E;?X(VRQman=UeOBDJiAzI|J$j zo@Z1tcb``C@xcE-_2WTZfrw&TZ>-O;QO8Va>cANRml)p*cB=B3j}Tym4=op-U;rMm z(r#*N6Gr=sM_o!%QYNAmHm~PVPx_^&?AgpvhiWWHLZ>_zLS*zmZ zc)y#__u;A6m6M$I0X0#U$AePD^4oKytK1Uei*sd$S)T;Yanps|#}GiQv{Q2GR*m`&o)4s7z1jB>VTunBmx(1S0>8is%*LsP`ekU4s5mS& zKmAHeq!;%`$LD-G4)!`9ek}jeHd18w?)QmuC$kz_ zd*ep>dq)%OHmS5W6qa(!Z%)2_HlNiYFUNWLyUs6fZ#9&rzEFzQFKSh{+0X59Bd^`@ z+G}>$7vMPcpZ7?8>t-0ROIX-gLn8zTG4=Uo?_S>&J%N z!yr69e>X<1-yRTMvHY0xtE!aMwbQznJ!(6vEuR_aJm zy5Rg4t`~JF`V_pcf;)d0TrQqBC~oNC&Kmh*m!F3#4!b7yrEa3O5to$zUK+EfXPUk*;Y%<#w5KwPJh*$>!YJEW-X&RWy zvsDbstW>vOTxnZ7nnT%Ed?aq+%YyEu7ap-Gi}v&E#UhUx7#Jk6HxaZx5u=8-=b~~& zj)CybokoC%mtPFTApx#~^W3LLEo?qi^t`rzQdZ%ivvHN*{R_uNAK41t9X{Wt9-m_7 zC=%sNs|QM<-#QYj;ZyE&bLPl!oj=~;91~%il}bJeMJgqJ$C6nee>r^Q$k5cd@b2B` z?~bq}|3zx;fEi0$KpA&2}Lv&iD)_wx(>rez}Kw*0~^>s<{U?W$F*rWEIg z_xAq;T!HfUDSUm+r(d0;gl9)}ySwzG%>|Un9k*)CtnJOEFjt-KeBPX7aqB)D+e%AI zcL;Ri35A|G6PtnS-gJENf-^V;-`iJ7U;o;*sDGyM>q^`eJ_?NQIbh;Q@9X%Q zgOJOeFB=;i{8+hO=^l+n+qmRFk~kAvR^1fPwpw<0xJhm{_k3eCBZG(An^H^M(YrRg zdn*@bRfEI;fF|eeT}==!flAe%djhWN%H_-OUw5V$$OoJ*Fjd8V6LT~s@!Wg&Ovq)u z;ZdBb^jVv{#9^D0g1XMeuODQejL{qY(Kpl98S$}mA#Yex%_m~?>(QA*FH+~vo{mfO z(YfvSwIfbrM$zZE^dr2VPRqC(Qx?Z{9GR2yGDIHe&(>H zipjwEYQR!2@W{DbFuCIqBkSzr{q1VPK2EoMawG0PbTdpV{4_e8c=}SEfUj{*?7>W{ z+4JV+tz(@B2Zu*S*U0#w+LYGx)Fu`UTBv+1+kBx<_2_B4RG#G6LYqRr7sHRFbL{e} z;qP&f_oQVWx;qpbbfj`|uJrWuPNz>d_ooJoN@`r!yo0h>oBg`b=0bU@rp{$ZblmcF zJmrGN@NRyT^hp=V_s%v}3ul-isdiunvj2?sD-*>icjjSP?Qor%)Ej51n zLc6N8u4N(>!^Hi^yN~b)%_r_}w2TK2_DJp9m-@Ko*wZs9lQ(ejbb2Ep&#=v=d&<~h zd}CO2#j8Y-$LqI`zU~>l!f~|Errg7DWud}dima)2Q3I_LPjn2OFz_c_&bWHeqOc)T z4y6P|1Ok8APZLCC@Au~%HH>pbIoZMBbeNkbgocHgT39@Al^LeEIKRShEW@~KzVv=Z z0i#^pr z&g+GbdfDZbI!nAWGc1lgZ^-u8)Z{{8q)p`0Pb*LNC3J$|#=0h?sih?wA)th9qL7c5 z{rvg!$8g{qK|_ms0xe?wR6TnB#l^*IUu|a;Xr1!!O0V30QCwQuS-PfYkXAxlGe)nS zR$ZfNgr*#%^8S*B(%Y3eo3B=1|6RU_EG-9Y1$*2S-iYG8=1;D0BMG7B$YCA4vg@0P z$m8FaD-%@@DPtPD11_6cYQSRgU;lFdu~~mZA|N_nFWWCO&&0$u0Nzw1HiP%k`GR*o zK=fytvM##1S5f%Wh_V-h%yS5Vo?x?dZReq^P01Zml0*F!DYg$8Q(nGQp}Nt`ae?D< z#XoR*_~_7-vxZzVc;itPq)<07)d;p)!)BBr2vy_kAHCL|yLw6Km=>x}h@Wgr8ELiM zq@|eJK+SDYH^0!eYxY^Esfx6?UCg-|u2Iu<{IWgoM=R}OjEkJ=1d4`RPO}Khhuh>O z411n-dslkt_Q=j3xBMNmblNiFPK&wl)O2=qcAl&g=yZ13V{EVLPE= z7zAJ+RnzlvwtQ(}oa^heg7EeDo*d5Z(`<-4;JTFFbEXIb{Y^^jY3{FGU1KJH!AsEsn`61`o4Y~8VpH9^ZRN?uDtYtqYjFGRUNAcv7&j&HVI1$M1`7=MC5-`Flo&V*h zUa2mH#h{P&qOne(YWT^EtRK{{7~Rpc?TW`Pv{^pLah>sU4@i7sYK%XFqaj9q@MPB7 z=kva;ws9yA_ZbQ;+gHSn*xA)=yIOryXP?KDoAOC^JY9;S_;Pq=y*tF%IP(OjpCeDX z?QF)U!5#kH=gp54N5nQ2^vkySFxP1MR)r%N&Yz!3ba?2J4O@H4e!W`zH=t&xif=F_ zi}UNkDs}1~c%}H2&X2zM*XcLd(TQ2$uvd`E0_!L^z&Uik3b~?r2YpsENOU=5nuw$L z!Hh+2tYq>rvKNkDXtnbO<7(D+Y@0}bsJJk7aC&z3 z6e`UP3A-zWs;T<*z(~-@<)Tv{0`!1@@)$k0d{qbY^^f&G^UE@B_uv!q8A^V!%y%Z& zYxD}=i%9)*t!r{YMY&cd>=Bo6I{ge<92It(o6XOMWjZ2HHMnFMvRp1*j(7FiQ{$Wh#fGb3){M*omYpZ{2k;<1_YkD5 zZs5B@?Bhlr@y`}MBT@@5dH$-@JADFVq>r4`o}%c*Kp$cM(s#|tn;+sGewJM!Y*p0s z6wTECwRh#wRN!y_)-+SpRHULTBSMs&6t1SlQkD@CiJF_NkzJP5Oh$B(C4($Up==?0 zu4>G^$(CqTwnFwLiA$GyKVQx7yz`#(JMa7N`^V2YopW<9*ZnTf^Lakc^L(D?X(@UD z=a%>Fql%i!2U4<;P2VlDN7bbx3l!+-*h_L2h5KcWU)Wj$?)OQV%R}erJHc8<{4rzbx#Aa*7(GF+ASDAROH? zw*YGpAxQ~GVyOw{(7RA(K1&Lc$=N2sC(S?_ofuK#a;Jx0IJ_fMb_(PP@&@Bb*3AIimej za@w-8q9RFaSoT=S_JO-06z(-#IZMHgc(H_h27y(4HYsXv;mN$q%0=CNly1!{*23FA zx?CsfY#S0){N6uW&hlM0S2t7aZsbtpy#A`XLsVdnXP-@YM@#=`b;-H>+|dFq%ooi- zZos2)mk!X-2h1OJcJ^$vyB^j4RK~~ausnY&N|MG*B|!4*fdVLspGZh%l3;tiusy{L zXYBb~s=l|%e)ho-Ri4=7vu={h6RJjKMXz!)~VR8Nf^bLcky2M{9&wKya4NOxIU(m z6;ow+z15u^S=d{uC&z9r-@oN;fW4dKva!|!?VepD)2B^OzY5#VE-2a37-)skH}Ebv zORX&}>Eq)r@D#fOAHx^%t@=)h*PbjcphA+9ps=uah9HU}#H@Qqor;`$nyDhM8rsLG zGa9cJYDQW_mi!G}Sf2d-X`um-(h*#56P;`3qc; z%Z@CuEOxwxtXMV)TkMkDe)I5$yZUbV@)s>FF_Y%^F)@k|O`Hc`K63;HoLpUf#_Rq> zK-luoa3_=B&N5m3$G0x-<9SaDN^Q-%%QmOBw>#gC%vFS20D6l-NeG}FW*%ZQO%W|b zJuKwPG?jk0-CqMG2r8ohbX>0d<4f^4gWt8=}9<8H5@<2&;ekX7U2u3Vw+D*`^`ZhHDY5=|0r3rDf}gyyw_cff|?YND|p(>??~)`Cg2|r_ltayt@`+!$6SRB$bXw$bw5iHow8ql$VVaa^gI{w0j*T-PBe z!WpAwBPhP8R6X ze$qz@H;VObdH?<%OjfdkPr5PUYRoMIv_Rx11@Udc)g!17`U_!54l2)WkmUjtfH^Z1 z$ptBZ%9gz#$`ExQfqg{!tQdq95a~}O^kMbtSk)mj$kWh2<}{G!>mivN5vS{Jw8l#^ z*InrMD#!He$=nGG)(>BbezpGeQ{b{J3r~gK+Gntk>Nk9+mm1PN(Ka#PI3ei9VKdm8 z15?j1=Qs~xwNTr+F9SiJba9&gNHN@|6KS__IO6yhhgvltn z1dSH3K0=24STxeO3%Z1l=}&Zu)t4wfRm)47fV^hV+|vBI*r^!fGj<%kw+9>`0-|(b zzri#U6*^blkwfLzFWcqsjh8w3?sHe5Ri1X=IK#xdBBgu6M>@m#@myycaj3r>DnQ@*bKx z_*N`SVwi&71QTL-J09IZsD1%h^7Hpk7Pdg1#IQRD8PlhWY_OM)kBFDo9*$M}B`fbQ zxuZ|-q`R>*-6eN;Y`xK;+2TI7@A+__*xxHG&Ks)6Wq>=5R`^Hd6O$~Frg$$9N#PYRC|Ma9{g?8;d02D!)NBJ6EvK}Ued+w#^(I%K;o6a}C22Qzb@qx~DA*TJ8Kwu=msB7z+V6o;1A0|1&Noc>IBVG}u0pxB-WN8cgIa?qc{0sB?ULLVhSFct%^O z8ei*dakxL~2Ga(&e;7vrcMXj*FCci<)nyHINn-0wr|<;U+Q=vpmORPfVtSy4`hm3+ z3PrLXRwl|bOTZt;PTT>428j^p+Ex{jnR?z5kT3J2!V;%Vci9?pzQW zJGw1o{LX3Baxov?aO{pCR2*McQU7w_3Fh8c^_`s)TRN`{Q%!MEZTro z#^7TKdE~2sXEI?UK)vDnd&I+&H7+Bz@HBK}%x2;_(yD!jY0Sh-3xbnK2G-pqUxc6RqR!qQ|tTxz&Q{dkkajY63lbOlVg zFwB?szka>atx{d!G`p#*jXxbpR|NIA4#Z@GKIbZ;6|fMD9E!${qnEp1Zb}(@`bN1B zox9+kT^`7Nv*)7d#cz{NmF$d7Zv4GLA`2{Z($J;y#2X?;6B!_1QJ3KW^^@0#)_&iN zAI4WNec6Vy+@Q6;U%fiQxB3k8{QbbiC)AD$S*%{V_>j`a!+Z4WqbE*iUs(LQ+6In# z@zD?Y$N?=r+G8zt@!Q2m7anLYUAg#(axQ$?hOdu4Y~tGf^--V7e|{lW;(xB8^bZ*9 z*-WNA7#l-gZFgYr=I&#%2kDD$KLHRQO~@)Y4u(ghL7k`}K}m-QW+2Bp-d^UGPDVli z(F~M;zsy2tg^3fpR5q@rND55yP~73xqQKJ?>jIf z(6ZD^4fqfWL@i9Xc_;(sh;QQ!Jryu}wJ$&b?~h_<6>OgH zwAa0`Rhu`rA3Z}W4qHX`KKGewkJ#qTn~#l$o2^*65xj@u^Po2@VgGu5nm%GL3)GX` z$;(p(kU)=QT?gQ?&iwLj&}|ka&Iyy81xR2qJK!8nqiegh?a}hJI7bDqnZw^a(H)Sa z78Vp3w1&?FLw>M?+#!GT1`1HP_rOc;O?&2R!zA0wFGIE`_gRnF z>h$Fsm{t&e^tD-fVX3kG1g;9I-`=LyNChr2wX#wRauTH)ZVy(IWh%R^#ni=Ojn1yr zbrzx#deZf7$u7uWMo`>A|JX!=@~*=1U^dt~<7L)D>?>r6x= zt|%A?*03J`gl}_uSOu#|+>vK_Rn+JRYFqODJIkBIhmlQdG~QnbpyE?KjX$ZsPDeB% zdo4?R{dieK##)xu*WW~U=#gr56EYBuC@0VLmvOu4A3jN5c&RxpRQ+G3eEt975gx~L zYK_j{L~99nJAEAMHssl~x_(!73}X8PWfGEe421+<<0Ab0&!FN+k_K>fBZ*FV#>noe zS-ZKoGUhTEpQrP)aarNPKXt>`(>dV^6`&bjynIQpDW;=4AOIBL5bmA`sNh&53iWC+ z*m z$0lSZ|@qj`_O$A*ZsIszT1eAmEA*wXPWFw|$dm~3s zx+4-Ps<)}LOneBF9~*tEgwOTy3@`!&+kQ7&F=?DQs}Mb_8z4^Y&)j=C3XAlQ#rcy$ z8$=(J3WUi#86v{MswksFzDcFm*DRfl>1FXN;K@QOeT~hES2oUxW;dSZx3atfEcx3=n0zQZ?l7{JWQ`G5`OrOA^qrHdXgHJHAtlpi*EQRC?)K=(jAR8J|wYmjZSQs4s>B?$OWh3>3yX#f{jnVfG(F9vZ$ zsM92m#^$i~G7uks*Rhj_i7Jw6qUcCkHO_DRco@OjNXu5IBYpAm~7$2_X+d~@-BNvd{fVmc6 zfy+P*0KMtkREmFYxwWJ}M75DBJ-1>S ze2qHsl)xDay*aJCUUI6X=lS&lG`6QQ_Xlhrot0XzP4>5bR*FZgXrh!IE{U7Jcj?Nr z#6?X_f4kA@29miXFZ2m=N!zNswIa-aqs?8Zo?SUG0wg~C%Szd233e%WrbpUFa9wc( zHYbAva>S<>SWx7Cq}%Jx4v+sg*kaoD=h(|p>()&wXz_@wTsi3mp`v~fy!&Imz4Qd2 zCVXbWf(i^rtpu204&7xWA=JhlI)=t+N65~V9if>s>W4)BIonzxeCwDL*fBPtXct zh}%A}p4*+b&iFDG>cQed*^q^r$3mT6yc%)^eZFhOSUcm^inu9@-;+O$fo!tneY{mr z#ArMN?v+rQATZ@4%)NV%s4T|FGGLhD=tHtmD0|@V{z`NzrZIQYn5#fMpQ5J&0-~=j zMJa-i6<~qU`s+S(Zeh9&d6Z-kzB!j}Mj+UR!%&R4H7^*WpiPh$_BInf<2c%Ao|FYC zPn6?_2ay+Vm_0F#jmRo2Jd7p}s>(OD?m2GnK7b=RbeK7E&9(QFBDVtdVDLt<(8xI@ ziJsn*!NMZ9AJbvr_A%Atl2-iOH(SGteX!L~f0F)Q1J$m~fvE%tgmgHgc&Nj@Zij^6 zYP+0eQBC6&BeF%fnMJtEUB`=8mrSt;5P31;AUm>*Pe{-aU*fw{`}9w`TD5y z<65?~-{^Cnk^Zq`?Tcsw$2!Wh#v8g?n`oUKeZ<&4+~<(CRDBuYq`O!0{LO`Xv%XNuKo z%)F#EQq#{hAt~R!{a8soX57No(8xJJUAJeLj>pRaCh9bQMzOR#!n^RM0VO1p6hTCl zhH9q^4Ahpog$IWUiiB^YVnT?mW- literal 0 HcmV?d00001 From 6de479fdee5c2c1740a649474a910e48306e6945 Mon Sep 17 00:00:00 2001 From: s4802308 Date: Fri, 31 Oct 2025 13:02:45 +1000 Subject: [PATCH 13/18] Updated README.md to included required sections for the report. --- recognition/OASIS-ImprovedUNet/README.md | 170 +++++++++++++++++++++++ 1 file changed, 170 insertions(+) diff --git a/recognition/OASIS-ImprovedUNet/README.md b/recognition/OASIS-ImprovedUNet/README.md index e69de29bb..c13085cff 100644 --- a/recognition/OASIS-ImprovedUNet/README.md +++ b/recognition/OASIS-ImprovedUNet/README.md @@ -0,0 +1,170 @@ +# Improved UNet for OASIS Brain MRI Segmentation + +**Student Name:** Oliver McCarthy +**Student Number:** 48023083 + +## Introduction + +This assignment presents a solution to the problem of biomedical image segmentation, specifically segmenting the 2D OASIS brain dataset using an Improved UNet architecture in PyTorch. The task demonstrates practical skills in deep learning for medical imaging, software engineering in version control, and reproducible research reporting. The goal is to achieve accurate segmentation on preprocessed brain MRI slices while documenting the workflow and outcomes. + +--- + +## Problem Description + +The task is to segment anatomical regions from 2D brain MRI slices. Images are sourced from the OASIS dataset, with corresponding ground-truth segmentation masks provided. Accurate segmentation of medical images is critical for quantitative analysis in neuroimaging research and clinical diagnosis. + +--- + +## Project Structure + +recognition/OASIS-ImprovedUNet/ +│ +├── dataset.py # Loads and preprocesses OASIS MRI & label data +├── modules.py # Improved UNet model architecture (PyTorch) +├── train.py # Model training and validation loop +├── predict.py # Example inference script + result visualisations +└── README.md # Documentation and usage instructions + +--- + +## Algorithm Summary + +The Improved UNet model is a convolutional neural network with an encoder–decoder structure optimised for semantic segmentation tasks. It processes grey-scale brain MRI slices and produces corresponding binary segmentation masks. The model is trained using binary cross-entropy loss with logits and tracks training and validation loss across epochs. + +--- + +## Workflow and Usage Instructions + +### Code Structure + +- **`modules.py`** – Implements the Improved UNet architecture components. +- **`dataset.py`** – Loads and preprocesses OASIS image and mask data from PNG files. +- **`train.py`** – Handles model training, validation, checkpoint saving, and loss plotting. +- **`predict.py`** – Loads trained checkpoints and generates segmentation predictions with visualisations. + +### Pipeline + +1. **Data Preparation** + - OASIS 2D slice images and segmentation masks (stored as PNGs) are loaded and normalised. + - Training, validation, and testing splits follow the assignment convention. + +2. **Training** + - The model trains for a fixed number of epochs. + - Training and validation losses are tracked to monitor overfitting. + +3. **Prediction & Visualisation** + - The best checkpoint is used to generate segmentation masks on test images. + - Predicted outputs are visualised alongside the ground truth. + +### Reproducible Setup + +1. Install and activate a Python 3.11+ virtual environment inside the project directory. + +python3 -m venv myenv +source myenv/bin/activate + +2. Install dependencies +pip install torch matplotlib imageio numpy + +3. Run Model Training +python3 train.py + +4. Run prediction and generate output images +python3 predict.py + +5. Plots and prediction images will be saved in the directory; download as needed. + +--- + +## Data & Splitting Rationale +- Dataset: The OASIS 2D slice data is provided and preprocessed for direct usage. +- Splits: Training, validation and test sets follow the supplied partitioning to ensure consistency and fair evaluation. + +--- + +## Dependencies +- Python 3.11+ +- PyTorch +- matplotlib +- numpy +- imageio + +--- + +## Limitations & Improvements + +- The current implementation applies the Improved UNet to the supplied OASIS dataset only, which meets the easy difficulty criteria for this assignment. +- The dataset is normalised and reshaped for single-channel input; no additional data augmentation is used. +- The project could be extended to more challenging tasks such as segmentation on the HipMRI dataset, use of 3D models, or implementation of advanced architectures. +- Additional evaluation metrics (e.g., Dice coefficient) could be implemented for quantitative assessment. + +--- + +## How to Run + +- Activate your Python environment. +- Install required packages. +- Run scripts as described above. +- Visualisations and plots are produced automatically; check your working directory for output files. + +--- + +## Results + +### Training and Validation Loss + +![Loss Plot](loss_plot.png) + +The training and validation loss values, tracked over 15 epochs, are visualised in the loss plot above. The training loss remains consistently low from the start, indicating that the model is rapidly able to fit the training data. In contrast, the validation loss begins substantially higher, reflecting the challenge the model initially faces when generalising to new data. + +Notably, the validation loss decreases sharply after the first few epochs, with the largest improvement occurring between epochs 4 and 5. By epoch 9, the validation loss stabilises at a considerably lower value—much closer to the training loss—demonstrating that the model's performance on unseen data has improved and is no longer dramatically different from its performance during training. + +The convergence and parallel decline of both losses toward the end suggest successful learning, effective model generalisation, and little evidence of overfitting. This pattern, with high initial validation loss followed by rapid convergence, is typical for deep learning models as they transition from learning broad patterns to refining their segmentation boundary details over successive epochs. + +Monitoring both curves ensures the model is not simply memorising the training set, but rather learning generalisable features essential for robust MRI segmentation. + +### Sample Prediction 1 +![Prediction 0](prediction_1.png) + +In Prediction 1, the input MRI slice (left) is clearly segmented with distinct anatomical structures in the ground truth mask (centre). The predicted mask (right) successfully outlines major brain regions and excludes most of the non-brain background. The segmentation captures general tissue contours and shows good agreement with the shape and location of structures in the ground truth. + +However, there are noticeable artifacts, such as ring-like patterns near the outer edge of the mask and some discontinuities inside the brain area. These artifacts likely result from thresholding imperfections, limited post-processing, or model bias toward certain regions seen during training. Fine internal features appear less precisely defined in the prediction—some small structures are missed or blurred compared to the ground truth. + +Overall, the model provides a reasonable binary segmentation for core brain regions but could be improved to reduce edge artifacts and sharpen internal anatomical boundaries. Incorporating additional metrics or data augmentation may help in addressing these issues in future iterations. + +### Sample Prediction 2 +![Prediction 1](prediction_2.png) + +This figure again illustrates the input MRI, the ground truth, and the model’s predicted segmentation. The prediction displays strong overall agreement in identifying the brain region, with the major lobes and boundaries reasonably well matched to the ground truth. + +However, closer inspection reveals several limitations: the model misses some of the finer internal details, leading to thicker and less contoured segmentation of internal regions compared to the true mask. There are still faint ring artifacts, and some central features appear overly connected or blurred. Despite these artifacts, the core region of the brain is successfully segmented, and the model avoids large false positives outside the brain. + +Interpreting these results, the model clearly generalises the broad brain shape but could benefit from additional regularisation, improved post-processing, or refined loss functions to increase the precision of boundary and internal structure segmentation. + +### Sample Prediction 3 +![Prediction 2](prediction_3.png) + +This prediction shows strong alignment between the predicted mask and the main brain tissue in the ground truth, with the overall shape and location of the brain accurately delineated. The segmentation correctly excludes most of the background and captures the gross anatomical structure. + +Nonetheless, similar to prior predictions, the model does not capture every fine internal contour, with some subtle boundaries and intricate regions blurred or missed entirely in the prediction. Artefactual ring patterns remain present at the periphery, and some thin structures present in the ground truth are not fully segmented, possibly due to the network’s preference for large, contiguous foreground regions and limitations in spatial resolution. + +In summary, the result is a clean, faithful segmentation of the brain region, appropriate for a baseline model, but still limited in detail—highlighting opportunities for more advanced modelling or post-processing if higher precision is needed. + +### Prediction Summary + +Each example displays the input brain MRI slice, its ground truth segmentation mask, and the model's predicted mask. The predicted segmentation masks are qualitatively similar to the ground truth, capturing major anatomical structures and providing good separation between tissue and background. + +- Strengths: + - The Improved UNet achieves crisp, binary mask boundaries and extracts the main brain regions with high similarity to the provided ground truth. Most large-scale features and shapes are very well captured, reflecting effective training and model architecture. + +- Limitations: + - Some fine details and small structures are missed, and there are occasional artifacts (e.g., ring-like shapes) at the periphery of the predicted masks. These may result from limitations in model depth, preprocessing, or thresholding method. Additionally, some regions of the brain boundaries look slightly thicker or thinner in predictions than ground truth, likely due to imperfect probability thresholding. + +- Overall: + - The model provides a robust segmentation baseline, with room for improvement through enhanced data augmentation, post-processing, or advanced architectures + + + + + + From f54fb23251bd83e62fe61fa34c4d418567cf654b Mon Sep 17 00:00:00 2001 From: s4802308 Date: Fri, 31 Oct 2025 13:06:54 +1000 Subject: [PATCH 14/18] Fixed directory structure formatting in the README.md --- recognition/OASIS-ImprovedUNet/README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/recognition/OASIS-ImprovedUNet/README.md b/recognition/OASIS-ImprovedUNet/README.md index c13085cff..0721b3867 100644 --- a/recognition/OASIS-ImprovedUNet/README.md +++ b/recognition/OASIS-ImprovedUNet/README.md @@ -17,13 +17,13 @@ The task is to segment anatomical regions from 2D brain MRI slices. Images are s ## Project Structure -recognition/OASIS-ImprovedUNet/ -│ -├── dataset.py # Loads and preprocesses OASIS MRI & label data -├── modules.py # Improved UNet model architecture (PyTorch) -├── train.py # Model training and validation loop -├── predict.py # Example inference script + result visualisations -└── README.md # Documentation and usage instructions +recognition/ +└── OASIS-ImprovedUNet/ + ├── dataset.py # Loads and preprocesses OASIS MRI & label data + ├── modules.py # Improved UNet model architecture (PyTorch) + ├── train.py # Model training and validation loop + ├── predict.py # Example inference script + result visualisations + └── README.md # Documentation and usage instructions --- @@ -124,7 +124,7 @@ The convergence and parallel decline of both losses toward the end suggest succe Monitoring both curves ensures the model is not simply memorising the training set, but rather learning generalisable features essential for robust MRI segmentation. ### Sample Prediction 1 -![Prediction 0](prediction_1.png) +![Prediction 0](prediction_0.png) In Prediction 1, the input MRI slice (left) is clearly segmented with distinct anatomical structures in the ground truth mask (centre). The predicted mask (right) successfully outlines major brain regions and excludes most of the non-brain background. The segmentation captures general tissue contours and shows good agreement with the shape and location of structures in the ground truth. @@ -133,7 +133,7 @@ However, there are noticeable artifacts, such as ring-like patterns near the out Overall, the model provides a reasonable binary segmentation for core brain regions but could be improved to reduce edge artifacts and sharpen internal anatomical boundaries. Incorporating additional metrics or data augmentation may help in addressing these issues in future iterations. ### Sample Prediction 2 -![Prediction 1](prediction_2.png) +![Prediction 1](prediction_1.png) This figure again illustrates the input MRI, the ground truth, and the model’s predicted segmentation. The prediction displays strong overall agreement in identifying the brain region, with the major lobes and boundaries reasonably well matched to the ground truth. @@ -142,7 +142,7 @@ However, closer inspection reveals several limitations: the model misses some of Interpreting these results, the model clearly generalises the broad brain shape but could benefit from additional regularisation, improved post-processing, or refined loss functions to increase the precision of boundary and internal structure segmentation. ### Sample Prediction 3 -![Prediction 2](prediction_3.png) +![Prediction 2](prediction_2.png) This prediction shows strong alignment between the predicted mask and the main brain tissue in the ground truth, with the overall shape and location of the brain accurately delineated. The segmentation correctly excludes most of the background and captures the gross anatomical structure. From c15a55e438e4fe4b99fbd3f045abe1c400bb4b40 Mon Sep 17 00:00:00 2001 From: s4802308 Date: Fri, 31 Oct 2025 15:33:42 +1000 Subject: [PATCH 15/18] Updated README after epoch increase to 30. Train.py updated for 30 epoch testing. --- recognition/OASIS-ImprovedUNet/README.md | 15 +++++++++++++++ recognition/OASIS-ImprovedUNet/loss_plot.png | Bin 23914 -> 29923 bytes recognition/OASIS-ImprovedUNet/predict.py | 13 ++++++++++++- .../OASIS-ImprovedUNet/prediction_0.png | Bin 95447 -> 92369 bytes .../OASIS-ImprovedUNet/prediction_1.png | Bin 95879 -> 92862 bytes .../OASIS-ImprovedUNet/prediction_2.png | Bin 96391 -> 94084 bytes recognition/OASIS-ImprovedUNet/train.py | 2 +- 7 files changed, 28 insertions(+), 2 deletions(-) diff --git a/recognition/OASIS-ImprovedUNet/README.md b/recognition/OASIS-ImprovedUNet/README.md index 0721b3867..28abb0e24 100644 --- a/recognition/OASIS-ImprovedUNet/README.md +++ b/recognition/OASIS-ImprovedUNet/README.md @@ -123,6 +123,11 @@ The convergence and parallel decline of both losses toward the end suggest succe Monitoring both curves ensures the model is not simply memorising the training set, but rather learning generalisable features essential for robust MRI segmentation. +#### Dice Similarity Coefficient + +The Dice coefficient for segmentation predictions on the test set was **0.6323**, which does not meet the assignment threshold (≥ 0.9). This score reflects that, while the model segments the main brain regions effectively, it struggles with accurately capturing fine anatomical details and boundaries, as seen in both the visual results and the quantitative metric. + + ### Sample Prediction 1 ![Prediction 0](prediction_0.png) @@ -163,6 +168,16 @@ Each example displays the input brain MRI slice, its ground truth segmentation m - Overall: - The model provides a robust segmentation baseline, with room for improvement through enhanced data augmentation, post-processing, or advanced architectures +#### Limitations and Troubleshooting + +Despite retraining the model for 35 epochs (instead of 15), monitoring the validation loss, and experimenting with hyperparameters, the Dice similarity coefficient remained below the required value. Potential causes include: +- Insufficient data augmentation or model regulariaation +- Suboptimal thresholding for mask binariaation +- The model’s ability to generalize to fine structures and small regions within the brain masks + +Further improvements could include more extensive data preprocessing, different model architectures, and advanced training techniques. Given time constraints, these enhancements were not implemented, but would be the logical next steps for improving segmentation quality. + + diff --git a/recognition/OASIS-ImprovedUNet/loss_plot.png b/recognition/OASIS-ImprovedUNet/loss_plot.png index ebd6e9bddb3a828cb18e41e6b3490a63c3d869c0..73645a2311ecdfd12376fe94950471749d347e65 100644 GIT binary patch literal 29923 zcmeFZXH-;M*EM*m3W``H$ytKr43Y#2B?|(ABnc%sCl!z&g zp4L?ef@2{Fh9^gYe^Kb0`~m)>a!cFlmYJXHt>7DhE|AfUTmIgDx4btoQdS0u#YJYTEP@g}Q zXCNW@&L-H$&O~h3)6UfYlBV<*N#4u69LdRQa-X~ZoNRSxWc(xkIOFC*mfZG!&U)WPRCSRfg%(Fj|dcX$ZHn%cr5i(=Z(>w%$0ODB0SOmj}f& zOMJ}Njvv2px05Rv|E5R1O(-`!f2fM+Wz?Sw_o1fwpyuj3+pgl)HJ=FS?T#O6JqD_7 zv^}WmIqKl>!yN7`9c(2Xul_T-}{Z|VL3ooV?RCQhi z`|RWYD!aVA+}q&iU?pCdPJJzV7J+l>O#Cpv#VaIK^le^QS$VY1%W`z_nm3v$wsEqr@EGP~bsD+zuRMsyQ7KXj$=w{auDzL$y$3P?_l z_D8~4o20{`VkWSLt@+ORp2$-<2(vm`JzDR>!5y*FcLjlS`TBG=Cv07LX)86Aq2Sdk z4;6b5QCD?+d?bEvZ>MBtzTP*v<#Yf^tEzHXlrn)|KHQbX#lLEC{ET<*+!1owxT3ae ze!Sv9Sl$VHDsFwRJ)Y&L)j}QZ;oKJ!k8rs}!qn&?$w0`N% z9p#P$w)uLa@ra_v$aEU$`SXTz-9#aQIDe=2NQR zyn8 zH3$0%oIAIy#yMbMX!y^RZ|8^mWV1odDapxs`^nS~&&q%`evsZ~QFc9P>Ii=LKXPiD zh_EmYMDZ@SPWRsxXx(@$Q1W$RDtLx#_>Q8__&*$e?@XsYr1He0iMM&XxVW6o50zTZ zS2VACz8Uf~Fo+{qJ#`7Wz&+|c^^m6}Y~La{ZxAVmt#&_R$8SH};U=Z0Z;zUsv?WNW zsd1$W{Ar!8^J2MbX129A;pYTg$6qD;U}wO%+HXePHgxG#*XPfg1_qSp4AZf+>IZq> z?o1fNE~ow@loJAfm+fn5e{i14-ms;*7w1p5mYRat2-A) z?1H%}-XD5GIHKoXIKba0dai4C`in10^Ax~%g%ub4CvRPBxB=>;NJkRS%)-jyVd&)D zqcx@7L9>*Ul&G{c#?{HUZzibm#ilQhJ3oK^tathHB^Q@h=bRF6cS9YShj~!dTbjd;SLtBU&mxdA)ZZk#AFPv#YfwIjfq@U_JP^I&G%q@4eX{DlVb?gl+CIJrue22?C zYnIW!tYncUeeNf;pOYwL5vLdUS0tKfnREzW-H4r@;^2#~CQ6*M}8^k+Ur|??t{ZW7a8Uw?Kmx!I&Pc#ph zu|-sMJqNKcegk5?oJNVCE{X{oLo}}Ja?pZ1*%%Nwt9(YRGY!0qCZO8`19F|`LvXuk zebnV|qzwJ-GE|!2?qV(^wp!~mRQLm;V4F)X$Hc^R;R_8j?rFy}FR3LoeuSi-3d1m- z+{x)@6P1angT0ApBBzc7n%tuwkBxct8Q!1lO$aB&HMJ2xtIb=YoCQC}mtWj?dbqL$ zO3eJ`Y@3kUK8P(RkY9oKr_u1gtN`aJcq)Roy#hN!Z)$$L`A|b^W4dLlTdt?}&b#;T zxhvoOrgZ(58C_cWp8e!-_Yw#=VnKg*Fc*JF{q&d>>Yxnf$G>LkEO|?OT^wl*btA{l z+vri7cC{vpJw=*u}Bx+38{QI8@Z{9jPU2v2;L{cOt?J(T*em>3}3!gZ$J6*+e-D3QzH?)9?jA#jia$1|CxyW8(=-@ zvM!X6%!#VocTQ?fCAx;0yUm0;V$q+D*tdHJd>GV`d}jV4I%x!}Seg(1Y9ORPM?7@x zZ!z@z{(EC?^Cd+&aAMh*dPg8>WId z>_cWrFYHg=Z2YtE{H#8M`q8Q!F)1E=HogmoKtvv_H*ZJ>{?N5iU>c)O?i=Hiv(IhIzmws!RU`+`WU41XgT zFAf--FRp2&vXy&iXo!f(4)>Va#ad6+`~tu^IsyPhw0Pjnn=)R*;t^y9S@1-*FYGu* z;!9K1 z6H0X16q4wo#FK86?k*P@eaiQ7%l@l9TWYK9AZYVQum-f~=zhu$aW?d; zCq`xpc#pndaV;&CDw}c$=hJWAJ32}Z0a&V%^eKImOqv-SuvM=!zB`z0~5*Xi}_ zdLJyJblD&V)5#P83IM-GTO&1SxGxm%`x{E|^CRBAeLK}EeTBGMecMu~_Uh&`V) zoy&p!_incd91Q!7Vw9o1y00ke1cqmu%Q3_KkGqRZYOp$$Bo#g^P}54(({m>spfE7D z5#J2%6**pkQ1%pM&QKUF88In~6Q6wUe_ic1p_uGvWOV?kcJeysO<>diT#Qg;L(A>J z&F@)V&u8@utUt(PBetbR(vZAdrBJfqiZ?2cEeK&cOnCJZmP#TZ0^|L=CmU%asL^vs zl#!8<_v~31fSI7UI~7$-6}4{ry$QbX8HRVCtU)A=CVmQV#EWPWw|nIpi(tZJe1g~qvwU%q^y zahMq$jRCOF>Cf+gufd!i|6x@Q6aY_YtfZc$3@~OVqy(LE1)!1;F*WqF)DSs*aPa#hDGCpGR?= z_m25B8Me2oIrBb3CS((18@5(Q#9sw%k1EzfA^1WUBzgoD?K16`f%?MNpY}i6s3M=I zVnRY>KY#wbk=syJMMs3~({~oRF8uD|CkD-TwSC*cp`qJ{YLd^W>gwuze4BpzAx5;3 zy^LOv>Q_jXNF?;%GunXtasfwiI&bWK#d6sI$vfXCMqgAe!GKm}n{R!RmR1~eQYEYgHB&;5)Jes^+Ev2RTp~KOiC#+01F3M*BycFw zc#Tx-YAo!ARtK%wFfuWf1Z4xvw>r^4d*@DeWzkKQY=H2*ZVo(&q--pOq%Tb>=1RLt z51FHC&&NBtNWAPP>z#+&W*dJ#11Oac@K`u*u04M1U_NOcfVKAT*{T8C-xOcIcmdm9 z>>-1?vsGCxKNa6T46VCg-ttUZc4z1i|G@Q7_+{nbSH*Rg7 zb#u$5m5GNvEaxK^%1RZm@2T@TCF*VE*nhg|b(5@8%#EgyC|&&|GXi6vr!V;qtPb#m z0jF9hWAM~%mM>qw%D8s3zT5t;dipW>(nFdLjufA2UcGw7sv1;ASYZ;gz_iCP{ipdN zgOtJ#q=_h*Q{yftXe>IE7qjk5y+441pA(mRn9oO@s!y9KORTve9ial)vc*`+e1dfKR8vV~QOWKak-ZU^N5*8N5PJX+!cv-5Y zV7PauFNAZm9-fR%Q_pU_lB&gARbpU>D7xJzt3#X3R3osDd`RQ8tWz~L!ddrqCxx>q)e>3_w{3nBWIzjFh)v~0MW9;a^jUF*gTDqmS-JZgUb3?>;-X%!p6i78P7GWw00@{uk>nh`#sd#ZHD`D*qX+P zbM!gNVt~$bpE3HI=@mex*L!+D4t=o%e*PDuzuO7{;{B{hDjwE;_XEhV1?(WL51LEt z?U8Ejm8t4v!`I8;taRVX&&d4;$eOo9y$NaX(iontB}3!An#CPgfz(h8tU(*-}?~tjYAf4XK3nn{%)Kp0KGOdiMjiJWSvCz zPtORfuvkb9g7Kb}@Lzp>E%L(b>$P);E+TOGn~PuO>_8-1n$i5)oE#|U2`xqE6=A8llX(7%^Mdd$t%f= z$U(|~02h~=J#zc$U#=k;CP{2kRqmqxyXrS7Kl6O>j=YG`Yjj`#wKN8DKmSbu?e$oR zrjDFMdYT=VLxTM#gtcf`xCB-j#{%}DQvwAQBKAJ@w)Ox^yr`|w?}7wMm3%K${2>yZ zbEKfWE_nbD(g$G5<@N|SqdXYS@rEFPuPI2dnMWGX>W4!O9M%kX7FnbJ?>0K1UT@Hb z5Ul`bL$?{ij%2af3Q-oqY-l1#qc3>?%NzS=06|Ay29y8DSS9{22j=|uk;~wbMoPf6 zPDU`rYl!l1bB)cp_y3xXckZ1$0ZMuExOo$~jMFtdD*)&8B~jp^|1^W(A~(aKo?ur=1-vj3 z4#8Fw;FSfUAT$`(&-+sfB8nFot7=ZA1j(wbE*)|I4cXU@ko&n=Uqq3~Ftn@;Ub`Df zS%2>=*as8X<(4t*VKWls@D<`EN(|{fg1AL+>5ac4T+(4dauw=@w0UokVkc=5{}Tom ztqE?INwPd?f~n;^)3*|u!QNxSLne6f{yOdv+OVOo3Swu z2b~P)yo@Ogbsxt4O;tokwEpK!Pz8Ui$~uzaSZ=2_Ir<3^$GryWjd@qJ3`VjeL9%7+ zw2wK-z4zA-J&A9Rq@B`3;HU#C7a9GPG{vufp!?UW*=n1xg`NRr7Dy9i2YC@QoZ1+f z)rWswtqtm>PFr#)Md)=WtlAogv8okfpPcJe8$(|CAD>vhmx+GZOcir+L@@qI0dtN(W``3T(!Sed<*uc$lJPl!DZ0Ig*>G|K=(W0plSSD{$ zfRPI*kysr|2a$Dv=u0erEWQzf&O6ZS$QMNobvXutvX!3`Fa%4=rVXz(+(=3O@c&d4 zXuh!j`{!5Cz%onN6s+eB;iaI@Fmch7#r~H}2@Fu7b}H;gkiV9e+ST8JCQYOV%OaqS zLpuGx5DFSr5(Wy5o^S5A61ZOKJnDD+l~PJY2@T~NB6Qy{SUpj|c7q7s)oa<9`TD>h z@0I>cb@B@Uq5t<#SLHO`_2WMjjT`Te{D-bteptE{6gmw67!jX_9B*}|WMq^KZSv1= zz=}T}YJfiRoDFEMEVhzp>1Nr{L~0d>v`snK_L1g|2Mnv#R5Zdh5_2a%VR#ko3OC$_r%ey9KPXpIZid7p8{-~Sa2>gr63^RM0HP|~gq zgCSY4R%Nrf4}p*7=TMy9&w%lg%7i0Ls00NC8`tV5HUTxjfA;K-&*!HS*B|Wc+#*P5 zXgIW)9{#(q=BVQ8Q(AI!&1O%mh2==4AYXnx8!nUKq(k$;|BZZ5k9#Qx0Kblli{SSQ z+lHgw=fQ6xhy+wFulIS53*5#JXBwP8GYk$69{33gnjYlpe*+1=F9*Ko2Jv@0o^y@~ zQi6IzF4Wuvv@yaJDmn9j7UH5I>v+WR5NHdBJlmlyKx~iz%)>{O#laG@>f0+8j4Uii ze)FA4opmGj@pE&IR^?pAW-8fNfbdcG*5i9CDhqiHXPOI7l!j`pumTqFGxX7A--w4M zg4^_hU_>D%UD1yl5UokEXM`MoetF{V?v6YDvkil8E`HZ;y?avSo#B3K35Z2Njv{OU z#mmIjHUV(3ME10#q(tdtXJEpXUs;(Ah+ry90d{xPG>6`ZR=^VW7^~QiAhFc2_%dNo za`G$gs6}NLKwxJmGZL(&{T;zXZne1P^(HFN)v(IB{_STXZ*&3n2}9wTYHMQ?2i|$u zYG3V0YEfnt_4%=o(^S*#KJL2*?1_i3-6W#mqF#@Z@D<>P2Jf`KW)%y z+p+a7BfV)(I-N52&f1bXx~*biH<)h(BaU zGl^x4QD?>o%YUK1>R9LwpBkqg0mZiqdD z8Q>LM3LoWVXssyf{s=+;>W@Vypq((XyPz-h zvIQ&!V`k_K&li!FsD!AwbT8=hLs(vl2NMMED5@vu4$6#LO}l17d}Wg&V~aY}ncx(u3ggd29D{P0mM^?g{L>75o$ zAB?#q9F{*q*#Xd~W%jmmD(rcsd$ct;{_mugu%aJuW>wxWc==o53Q%cYcg$l)_APDV zkT6Vb5q9VcWWYe|pKf=qph&PH5ue64c24KKfMr36k$eSL65*&CAJT}djYs#Je}UkW zsDEOLRlfbP6i8Nx-7;IJ87rJG1KQ2yN*D>TAl%lqCOk`~8O@qgnrfg) zj^-snVmq!?-XN8x%cjPd)w!QX6<_cAXb)NkJE{uE!dV(BfPe{J4W0Lob1#FL-+cgJ zeoo%>of9_P{Bri=7~!WRmXO#e<%4@*ZKCD%QD$0BlvZo!dMSwsv5DChR%RlL1-1t# zVr%1rD2nM|^e_Knln1I7xIS!(G#R6*Sg0yyC~O2kwzzhZlmudsZEqf%=mX+XbzOziCwfpkU3q3HW5J9s*FhH$!X zV?RFWT-o*AV+gME;wNL3#R`Fuh)9c_vadl1bZ8{R&^!J~VKCsz0OUVW??aSvA^gv0 z4joHHxrsd*1WxehLe8B9HVG*o-^Ei}|4vQJ@>QS8Gf$}VbgT`DZlW@53VNPzYzJ*w zE6{vqAq;c*GF8?UAqan;RvnjgcZVOs0rDQu+J!$~Io%iV2)ipW@|Vl$*R^Cr^SX2K zB5)yv9#F`*N6~DbE>Am9`S0z|MDobFc0*9w)2I2CmG(CFnHPyW=>MX#2Jp|no8VeQ zaEfO?!4(8R2S9-*jU*h+$hdrAw2jyuBGPLR{*mJJrZMVqVr>?@LV{`E#s&JDVms3! zStj-&^C}izSe3_}-#|ykk5)SsmzNU<6$o2EHl^3s*Z=#{CB~|bC*2>2AlMWg%!b~B z3%F;&ygfbdef{~HERu|t`xB60tHbtvca{b|lReJY9pIyTB!@kPstlT20CV0g{DX*R zI^>KHIKWmg_NeW1LikUyXN1MYKRFN%ExR)nsFE)Hj(Pg5(8RqC**nEbE?Q@UNKYe0 z!+8-#*T!w{$8>o+zg-c)Ssu$d*KbtA_1|CQ1Br-_VRARWlcyIDYl@_+6^P8&FXbdT70+5YR_tg|Mm* z8ov3F(KCpz?n)@m26+_pkcKO6#37Okz?6{vso;P1YS*{QrikODW*F~{R;H1=y5NN3D+c#}rUr8Dsb!zC>OsmFo zG>5+919E7njAYLkwtsCSi|YocTz_8*dc)YT%qy_47W?DV{Z`%3P!%K%XAF>4`G5it zdC<>|l1G4H5Nv|!HK$V>CyS`hLjjvx* z^6MlhEp5^B>*T$TYgS~v2Y{{75Vlh=aSZt&M!4zXH%P@SN~_vPYy{RJ1iYp1rSAOf zLmu^|t%p2!S&2CQcR!r)=)&2ED91rKNLf7=`)8rz0&& zAED?|*xquqTlk~*ui>y(WLBpVU^ybdfJF6)+1 z^qIsw7cR-PZ%PFLe{Kjm(PiX{IK(!ES)a*x(n^LQA83U}pbljucI(O-pxh9}y8xbm z#=2FsK0Yj%t7?AcFfqD|{9-v|QN@C>b%Izo26NyQLt=<7NP1lu#tV7RW;*646O}Q0 z?4!)&Tt3 z5op9Vwwa*@6i`&x2#k9isy&Y=iHKUgk&-QDK1m~~&NYGR;_mYc9MztyuFN1UP-0mI zJJX+2!6_B$BR4@|8J?>R(0%Hn_rg3-`=cZ3m~_Ip8HreM+PdM{0>Re1fcR@ClM#=jHiDP z$7}c1rdq8~p5=(i{gg(Yz`M?iOB5EcPN7IBM8*FLbqYmACA9axa-%V3XK;X;m(Gf; z%R)K;fJxXLm%RMp=u4e1YlRj26j7Y|g8p{OCeysF0z~u9|)0GF&VxyEsT8g07@*t z%^NUpu0#eZL+!bEJ9OyPe~L)3yFbyTmrnvxZUE$#wSFp7T)RS?*G z(Ak+oy^~u!Tzs*};%wJxQq=qr9}lfZ>B&yzT$a?ha9ovuCcVp&@Yw0c-V|3nODIz0!BFx9?gr)g$F6d zaiJkD1dhBA>%tb|^rGvofyLISrE$r5`KuX4q)JWKIfEG?8YQY<3XJX^beg=T!0NN= zxDTUL(vrYP!Y-7J0-|hy_2T)?xcQ+6mUP|l>`uQ2&#+$o{fT4ws(l1*nWQ4r{z84Q zgh>RtZZ;(@af2yWQP-2#i{3C5TdhIgnT0G2`AE&Xo9qF{T`RSC0eU_P3JM}<0PVDD z#M<84gbWy@074}?RiMoF?eBsSqLM}&lq`PpNLaA9_U>>*JnCBDo@VW0W@vBn zAA#Vjq^w1T^iYL;3p*I1>*#-Vxf-C41a39}jhOTxG5)ZF1&qx^5jD| zMVT}b47MbL=|rGXUHr-;=zJo}a8@5}7Eji>tU#j$<_}6Oc6O+)`H1-65`rjL<*gsT zh!)7A#xK&s1RY{ZK3NmUtilOm)VUM|KVp{Bru<4YEaD8^BrxM?bou=R20bpLYsM4XvnZnc4^SB|E!H1wLbL(u(2vvCH{GQ(j??l`|^K+zq zgKZiAGr(Y2GXANAy9y+j6)DDOm0_k5%U-A*$PlmMLn~tR@15b?@((HV4oz zeVai@CoDNc*U%)lK=TiPg}^!j<~weHvB}fUclJ`l6?PLpLtFeqTI?HbJI1KP(3S3c z@YNg0-qw?eJC038ep5{M8kgG#D_2Q%>_`)iO-B|vg3cxnJCv1<{dv&jr9FX2`x-wp5~fMoo4Ot_OLlCwwsNIYnLGWNOO zdo~mbm97z~4q*VCu&Qy6CG3J>18|1Il9CT5);j*f(6xjiR^AflmyouIpO*O5Vg_ zW57uMpOW{Bva)W%A($Oc;8JA<llZj}CqE`LL#ly3=E zj1Te;=meAT7wi0IFN)hXR<$hxn~f~2+`D(r_qmY9pC6AsQATntsa$%s*ZT(NKBO$4 zqh8O>pK1@4B@M^R;U@S_9lP1frqV<6->l);ORWXI~&jyK8T(imfMb)@sRDDG% zt^0;?csLKfg6uGnX>t0nrptVY6WM=M8Yc0kbey(U9$v4->t)jOK6ur(k1n*cH7b4s z6+Rs67@Z0D=e9Xo$#{j|0Vyvs_z0{U_Gg8s&Z*!xA1yW^+jE#HTs)BO>&UB+lp z$oQ0+MrAAO4{coeT;%=N8&Q?vkGhMd_@@c)o!Uo^-qLIe0BKykXz!TCjIf2?^UtfJ z7~PZF?bIn~(A$Gq6fD4)Iq*KD%Y0tdItw_c7Z2u%N}t!Zn1B~Psz0Uu6{6bcQwf`} zXBudH!-L?|SJT+QZ%1{5nu`F#s!v|PA@$?OUHLQ_l+=4``Le$*1oU{|A4k7AH9o74 z%Xt4(8q{g4AC>S#z=Jw6c@@Aa5D8!e3+0QhrPKsxRH01GIU&I=C?TvRG$@4H$`as*BV7@}53Qr1!j-wSPt93_(WBVq(PuA4WIs{aqMyw!=W&chE=bEgSn*mtH;on%>p6=q>p=Hg~(B?-*ES3Arr%CJ6$2f`L1 zYEcU2xdwRhi2Xh)RPFrkv{6w zjx^JY@{wt4U&GH)g4a;xz}G8kl=)ti!FECu-T<%?o8f4~4o#mtYRnC_+z;z`U?770 zv*!Zf+qCk#Y4o1o$6ZIC8)3F&A+oPdE_*ugiX=o_VY(zqM>X~QHFk<{&COdY)Jzon zI21Na&JjjzrT|FyKZ%(5F!a{ObYL)lD*9puT=GcAc{Ixd3=8Rr595I7p(yRo;6E&} zoZX7&%o~yJt9Mxuo6UCWWX~&O^)Cogmr&EQCOe=Qfr;{EpI)=_!KHhBl8M(8wkQT2 zD@FyVXW+8f(Z3Dv4Pm#+fbTV`%p3*f`l+hF^d=1F)X?;%z`GAyHx;!vVgz9G z?ce1NmX~tK+{%41YdoK}3LKDyWfLnJuqwfr$ibv_n#gz60;!bvy|nV#y$E5-%$V*g zk0>$G8VD;sS8?K?q9olcGoS6pQ==hyjWXZ2^=viG+b$lJ) z^)x49y z?&3mcB>Buvb4PQ^#0*r^5!BGxugk7b6q?v%NPpE_DC&^pr7X28t0Qfsk){Du1uRnT zm*}JCn!$B6o4BI+W&N}mx%Xtc`USRq@1Rq3YvekIQj zFX|S;8Kkff4QyS-R3Tf8=kN-3a?TmCy}@h4MeT1)EulRD{I4tcUY6|EisdkR0l4E=MSaQ>_77{AxeOZs zHdj=cySN0In>B(xc;hcRpZBzYApofb1n6_ULPHb}zrm9%b*znqBy0wI#{i>x{FZQl zPG;?4=#Ls$jG37L1m9pR`&nv{!R0QUg~WsGo+DZLtIs}yBRD!A{3Sml#2*;hjNy^$y|WSc7` zfvj&4O)Q$4+TLEwItvdBZc(zl5U2>hcJ!&59W4JVH>K@9bMi2c(jM35PCNP={ch!@ zf+vNZ=)D-HAz3V<{Ur91w+_!d7%tEO3W{pLtJ@Uv5LC2jEe?6Z53DlblyFedOw&RsTf2%M)@8Lgq$K-EoLCCTFl=Slrqfu1r z)CBg^An5>h2x&~%b3So4c43CL31aJ|w2(0YJ$Z&Ldz=XeVT_@xfuFWw?=NRRqXvwF zzLpTwO}7uIfG;~6_|GYR^4wlmT5W5+l;5)`;l+kGLlI-G6dFn1x(qH{_!m+@#1-II z5K;(+magci`%gtim7UEej16c&i5ml_O?#1k9;*k)Wq`KJ=_<&zGih(vc9Xfx_|myTwRq^9>g3=KSk}%B`{} zPQMjsDH($TEKB_&$X_ng}flKZFvx@z0~(K z3)Ov;;|w#UBNIgL}4T2f0L&9g>I7c)_}i-QMOL76Z< zlUt=Bm9FAul{_r?>tw7C2XLWa9#hZpob>+fJc3rW{M^{(s5XZs)pKtG6(KSWmQF#3 z4ojWuVyB{*M}=5B1tC8ayN^ApLF3U)U?hRpEl@)x{r-s%oWf(=PRb%HSatLHRnT-V z=c-m9aKg3Nr7IUzHU~zqFzq>(xtnjArV*JcL3lIV{B^=&0OH~KU#i@19{)r`#X-p4 z6l#H8hR)Cmg!mZA1r-Y6nb$L{j;vs4J$BibS9OMNKkF3rNC0-e==`FEXw;L!$?A$B z6hKUgyWb(vtP)&ZC7g5-zOI7jc?Kg>9|$vFsM)_??;xg1Z5onkOak|;i$_BzVo}du zM_EQ9&DWvxW&Li{GKsLfSYmTvR@dkT6}Rr3qK7fn65}6~x-vPBu9#m_9cb_IW&F;F z&wLj3!3_HpiU0F;zEaItVDFvOx^c7Nq#Trxa22*{I8tb0&~qDGL;WtG)cs42GI{zP zznxAxGLU{^u95^czNWCR)OmhO4Dfm6$fLx*1(iX$EqN4Yxdi^>tRB4LE(NQK(dv_? z1r~2FhPe47t$2ZWu10*rT=nmAbX!0~r;F<;B?eU!iG9z8Gct~uehu*2A2Ztr1;mV< z`YZ=3)xI||ukDhpbNxQ4C7d<~ZdEpJ`!Mue1sshqhl1O4$Zh`^^9r&QtHHe^v^VJ4 zW~S@r?&7S`m1ohpDUdTB%^99kmw%14>SHUHZ5jes;};bi5mxMQ5SGWYpEm+<*O_W- ziC@poibg3sN78`rCLE3^QHHNTV)gJx*A5f4y}<0_dYl@)(u!-q@ff1ad^NG=)bE#k zfJR7M%fTP4oDpML_52%t8&T<1OClR*$bFQ(cui&cRZzl~I+c=dElSUM{smGa5+Y3Pn>g25h$CK@`WW@ho0A%U=Ds z5IjC16(-&%3US`bIan#(WEs!O{kTXAIVmBEoe8pJv9GVcR9$h!EkiVZ&JNArNsI}i zY+P=yM=x<;n5AuP)(~ZSdbHvc{Y@9UrB}5hOoH8*5)mal zu8I1}?Y0;z4941I4InG)#fy(8UT(V!FCP!!L|u(+Z+DE{`1DHxqtfq1F8y0~?%)mh z7GZqf>ULe^l7{9n>`d8ANcDcmyi8tT*iNUbYfV`M4;p<$jZch>&xwRU-@y0siYb7} z&i!ZB^o*)t5RIiA6>BhMI4sZR32ulC`>-Sa`ShC0g>t^@BOdl~%n&fDT9pJI~p7s|fSwOQ=89K3QhM#@s|a9uXuRW);VYbl>> zFrW3HAPKru6m-nKhoDaCNA#xf1r_zhX&{ONpBO2-?*X(W%A)=@;mjrwB`!}Ae z@sJFEIsJ8m_hz2T;wx@2ba63L@%}j{jvo`uzJ$(M1)kGiJ-Fd#uy|DCZ{@x~moE%k zlh2Z3UAsf2ok;zq_2J*G1rl42Rl&^fZKbB|N|FgPmn^PGj|eICwq1Ljz5hh#|M9mI@eg+Z%)(aeD)f1Ho*g?^jU;T$o_N8Qf5$Gy>bpisZon1vQm1 z9jU%qV%5wdSxFYMhBV#HzKQhj%N=CnkA4L3JSj_5*W_K%)6p~9bmS0OXqCj|d)g>P zme~25eq`UXI6|(Z!mV+Sl5{nwMr{#;2g7W;Y;03rrJp?!-}kPazkBNM+$#Oed*9#vduNz`l~f3F)Zt-_JI`~> z)WuzR(pYjGoK2U<8$KzcqoubOp_JjGkYyi1;;9ly{Mm9Y;m zI@L1|Zjg^7xbmFRhlD=pqEio}s5-T$->GZTa*K*Q;Y@D9{VI);vGme#rHlpN4l)V( z{U+7KW*{N;wN92Y@0%mPywQF?PK+_bibvx5>IMJ6A%v7I3=GDFq7W6wLYSLDcc*W# z#NOl?qYkfUNaucaTcx_{RBH5}-1wF#vHDo>wS7s-vyMhfBaWy7IlG+@s&@Qm+(OY? zDSt4lNy^#nNKc4d$U1k5+X`)e|AS1O$*h@7{R{zoeOyUe?#5-hC`Y@JgZ;%hralg- z+wpAZ$GhC2 zkm;Sn_kMogmLdVGRj|0oEz9&v!_;uro$H4~Kk6>-%#ZJitOvJ{a-Lk7sn%-S z=ZS4UjnIKForLbSe2C`tWcdyhj->m;xj+*4K33iAAHq3MVuhp_Q2n%beUBxUz|_C0 z=mH-lJy^k2S?ntXBmagVGg5QF>r$p}BGx8Pek)AH9 z;^QKr`AQZxw=qOoI0XO&n>&W|bm{~rOdBC~PfMqCF42`#x?LVXh$q=|==>>4Yovj( zG!<*ZJ)rf^2+6W@v-p28#B|hj$&%dfVL=sLe_kiy9P^4o|tVG$7s)lEp_BfEL%3W;pDa=qN7Bq+Yss9|8X+gGRtRrdACLWnm=YBylQ~Cd>>^>ba-rM;-U+>T7 z|Nnk}zuWiw8*aC5C!M^`<=WTvd_L|E(_>Dv5*3f-@zC+&)INT%kWX+ow$4RJ^pmuT z56ghh-LWp$E}_gTKD`t|N*Clw#kWl|wtvcbGCJ=j<=Bx*jG(-<|DJZH^F)qjK-e)i zq7*$@`MHJybjjlxYx|mi&Swz5F^9{~GZt(oGdi2)Umkz(lix>;|Lw(a7^G}ar?UGe z`Wg>e5{y#H_wGze(C1>#&K}+zL2rq4=@hQ$muFhyNmKgWi(85)WKBm_@VnFXInG`( z=Hx>1_T95;fA_cO!}4@x4s^%4@Px|}C)<6s?Ni=}>K9ZTnb}NFg%S&6vT30)=(&l3 zS5U!AZx-!jB=Pv`+}7*2Sz~*FWtgNi0+8@{IzlQ0i99K!@lM;jcRFx3@DuMRU;dCH zF7qC0VZs#8&;t;sFy?F=VR;)~zcozeJL zm3u6zft~OkZnZ)LiPTV-GN&_%adx_4Hw`~gN^07(!67egta$m0g&*8E#D3owM(wU^ zrC)05TN3Lhgjnd58likX-^Wh(>?Jd}qy4jDP=WgSyZL8sxd;Jf$A9>UKHM;5Miz@G zzuyj^!~!p)=H#f}97tZf*6yx1O7@e`(VHsodchd-38o)=1c-iZGzzRvGQfW2>o%Ig z%SidYLmuT1sjR*l>^B_kFsEb>CPZAtgTL|BrOX|Zd3v)SOzuAiwcAm#H{m1nWh(-+ ztQp<-udOo2kQ^$#<4xx!dV~v}(l^29ejEzO44T~Cc=_94%8Jex$FLJ)iKn~C)|??w z-}$OlXm!nR(rYq8-dtsRitzhasY`JObuyW?X61Xr7zz}R5G;Yba*z%FsiQE@#=hHI zgl^*}bt_>icgUh~yi~wr0kYfYXCgutpIW)hXexJWZ26o0sNG_XkhC;NfpGSsHs-gq zmY2@@Bd^(kjhfx5`c&Q=bgxc1O0DIr)PTLujZs(6+;@!5dmj7`&t6jo8A`|{$%46* zD<76XLn5N*9I2o7$AL^ocU#Ama`mSZM)firlnLy~GXK1ww_}KCj$wWidARA+WGBQN zX@MgUy<~p1_L(cYTpFjc7$t8T_Qy`>6q($a1B(2X7z$(OTnQ7jlUx4R_)}&ez)_1D zbLY97_}!_2v??Zzu52lc@h2+74l6V9($PDW(vne0_y{Uf%kBQC?0eqHwRaKZB{u_$M} z&-m))wI9kcDrtp+{e;z;ByTmJ_5ELARfxEOoSqj8SpWe@#wi~kU*%k8SXWn9`k$ywNu)cF5TnG1`RZ1YkpRe=a2A~(f@2?;AdPW2{*oXdLPPklPn(s`ZM zGAhsA`ij?VZ9{%5;HPQ7K1tP<9M&SP(NNA;=-QIw_zdM=QgSO1AmY?66w2%V2p@?E zNcFNk7QfR*RQi%AI^Zbn`LW*#@!)qP^itR6U;mBBSE@I^s;&^rPZ|$L8ydOE$T z$~fK*LfyQEGIF)iB$|`Pxj9(fMp= zmBpHq(>dhvusygPM>P7FpsgZQ#)pkymRA?e`=I35M^a7z9Ctd9RC!H6<*WfO?S9$m=bO=T3YPwsQFAM=rB3Y*`eGMV z%kyi(MM2RRDX!EVp2*#iw$VvQE3$8)PsaOgm_gsB@yU>V$z!MTl(KUmfsb4!48^}6 zbq5v6S!gq241m+7)_z?00r0u76e-V1s2~+ZMWUI`G-?zQ=7;2jNp$t_l8TFqAh68< z!Q?XCOaqE03&8Rm_w(w1MBxu-<<{!S1ulw;o&}K*w}61EcHCa6H7_ySXnU33=EgzY z5jJAs`|oQ(MJxJRrzc$qa7BH-A~I9BBa06n{U`Z}=k5JQyGOCx{f%qh6?WnYMVwZs z*`s0!IB{e0O_CNqo_eEW8H!p(2r{8(uQ~&u>S6mEK}e=(f|+7Ufa1E_+-cxU92N`k z@ijtjjG)J&{;T--hoIL7@jkEr@kZK#=>|aU(sOc1wR3JOn3$yEKl^-YIi?{cS5Q-} zei7{Nf2N3`x;yVN65JX&4EGLIFnoYLj%qAP;PZoB*Jq`ey$>UUYj(0HT8hfBl{F!gHHBBk1KJWsHaLZs&IUeR7`&A)J4w? zY8%haq>x%hxA?u%*GeuEX&#~pDFPY^( z{f4yYDg&b!>WzK$qUlE)&oCDC8ebzz{$A`UvwMt0*mHsy;9Ipj{EjzQ4OuVj9@G;v zHe5dLPTXEV$)VNCf3^rfeP*?=l7=%lw62ahH69Pd+zXYjq`n3lNV9M=wv#a}5EbS? zb4Esd6;{(0{pge;5owE>vpebMb>^<$X%LXEZF$%B)ttO!9EVRE_*=YbXLev0lNQA& z|4#|(th$s0%|_fO{fBGI?JhI(Ym%?78$*JIB?aA`f~-rf(F0F9hS`S-Ao0Z8BJ=$7 zZJnDJ%zm-ERBf|%O9|3~g6Rq*P;(4WyyYgPNG9H7x^jy3^UtmLVCfq-lLZt>H=dT~+avP!`eFQ?v=PyJp8UxQH9w0t6$D){Cd(u0WhOxvD)d6Y& z*Z7P3H8wV6m51sMNphYlgAC_T`{BedOqq`aH(zm(N#HeH4%ht5Pstd=cC-~(N5SLl zr;GcsXP+zm{?y$M2kK_Gc&A=p5$tk>G8@rFpApKm_ni{Yh_D-u;+n$Kg8e8zjWffQ z)!XFh`|_Qg6E-9u5rlt@y?J{becGK%K!!j!j94$9L3M${*zShXzWO|6_-=s2Sb;13 z$3>&@-UWhYb3gNL!lS0xU+3R=P~Y_uzV;-+e`<~=?ChIku5NLc&Tm-7DU3LpAeml}eNoth?{xoz4buy8=pemA%5Rc^ zfBVgqo~+Z02C92c&~+`;DVTOMPIr1=pUQ zmH<(u_IVLyouRL`7#4iw@z!Vr`)71F3*=1*pqFJqTxmCZ$tsI##mh(p@LH`{k-n|Iu6& z`vRn~=*d!VGSODs{UBGTm7#Dl<{F!lu(83iJX z5#$tQka+Y$LU+5m*Kmy-%Y}w}N}s!y`D#+oY4#Pz;lO!alh8mB(=>(k^$Zn#mXu0t zII8ds1ACaiaMDv;7fvML4CQJ4c@bBIDi^WyEeuQ}ayq=noK~h^E|4+zQ9nSK{{+1~ zvH#}j=v3<8@dQqMq^ztb77x^_B4O0fz_`t{L|wIgVC}dzC(XnjI?(lA-Vm*I@#Dgs zr6Sj-7gm3LGSB~{jV3l;m0BuNPAMDuKGbO>P9(fS1TkuU_W0q(jYR^rE9Oudq1Z(= z_aVq>|H5%HX3wC&obO`#13?(ctM&2n+VKN8&uv^skL7jU!DRV~2&_O@06F>scYO=v z`-P9(pI7ng=h)R_YfnF4K!uopA4o$*V~Em%Z>PMK=EJsaz%dk4?vL#i2w7@tKF6$% z%^t=m4`YUF2-Z~=WY|O5psU>W*JVe6aw(J%ax_1ZH$~NKL9)F}y-y%H+N0*k}^N;pQ>=>oXAAlv1d#bPR{6u~?w5ycJnFIGrbZ(vpf| z=|F>-ma+DM6Tt~NqN>8lHHBFMx!rtgmD@@nKQIfQf1P+zosemSRl3qcz~6uQBB#_| zT4M8NDJel_;RvW5V|jq(C95f}OjNP9Mb}fWH6iME|maav?d&`KHFHcI! zQ6bRvXs!*P$jf<85`{jLNj-Fvduu3-!nnSCG}Yhp(n1GM;Ri^EjC|RP%U`63we;J! z4~!tYfWxeh`tG9#!n%Hy38GyHs{HvV;btytLP5+mH3#CV1vv$K>s-0#ioh;WiFu3-eom{vK+HzqlcE z$7AY<@3+e9LZauf}3` z^5Ba7kZF*lo?TLZwuHl*yU`)_b=A&&<0cX*1Z*@kiE6yZ$ICoWS-~%q6j;AmDf>`S4 z0S`w#?-YTHbP5w8O$k({Nhy=q)pX42?-3D-Hg$z(DZX?-$=qDs5hub1uM)Wl73(!+ zd{9}uQru9qZny~5S+p+6EHQ?Ol(nHJ<8Ib)jN@T`l@eaHNt}IoAPY|f@YVLI6({%= zCr)s?MJ($szR&xyye_%OTijSAL~~KsGnS87Y0ITHTnW}kC0sZ$@&eyYzY8mN{Y6{Z z2Z#@!@Y-5Nl*;o9>CMfh;aTqd=+Dl2-Yg!k`zM^;d(;iuv=E<6G zY05kL5bkG(ph`SL&rqEYRAOg8HU95Xs7X;4>Ava}nP?8NdX;K@V?N|E^V;a^UXiRt zCE*cPC$-tX@r$b@&o!pALwzsFx2wCdbMX-j@@R;C1KQ`A!z0RpO;(haYHW%a#Zp{o zhTlD@r(+B8E(LW#ztT}!*NY15RAAV}yLVWxHA{?*H?5J1dnCB~%Y+eI=1RoGFUlKc zvdo8gWM3MHNwD6ykjpg$ud0U6DCgB%H#|6{3ZgklqX5dvN`Y#5#Y<1-ckfIW93L&# zg(aUx^k1D)(k8!Ro1~>R9Nud9T0)obyP*rZe2fG#(jKM2#}=_hHQL5RCzvT(#S$F} zo#~bnCfhRzY3{sTk161setd~dxaH@?7~p>c>8O!6O!dm#*>c-OvYrC8hO>El>F5O2#CZsos1>`TjVGg-7H3uV<0*KjM)=G!hyG z9pX8`MXfiS>NjE=UU0so{4!65k~AqE7@4e__{H8zn|yD z)s~0KDw!;d>Qt7TgE524vK%b|?VP?{B}C8|^fjk}BnjLirduD4V5T|sVq1NFb?^w`}@oHsV#-hFNVsO+_HuPRVq%r6YY>; zGJ>W|Y@tHhcd?v(@S$R9&y1YLlcDIza`qNBp$K)V{7Pyc>A{DA9arjXW6WYW2Y6|D zDR@JIDIy3i#{5Jg`75tk`*yw>Rp)tr%KZGEgzK&0ccvy47t_&!XH2;2($6JdyCcp} z^5waHB1GBx)n(Hc(39z^KWii$;HB5+#96f7p$#y9HX3TuLIs_!`)Xr=NsET%JBjF& zMR@_7#bAp@_N5_xHAN-lZd~c|%twRhM`wcgWx6NVGNFOFn2ek=yZMB|igZQ38fmSp zr+4>;`gmStGA^`s^M2ateOPSc?A!*(%KEzM#& zu2OC0W5P7LTuPXYG?LD0e7odqUxw{&nVPh_O1ntUIZ)8955!Mo_waI2m%LOvxmm+S zFbFx(JIcN9G-tt2^!;h1L=2 z_cc9{2M!fZ&a93u>T*ijtLdb=4m{nV=e%yO_R%P2`gDcTw>MOpZp5r-78Dy@DXxVy zTLVu(ODVIYH#NUE5c1|C`@gvqjGdKmbj}!D3drvz_snM~(iJc+oV3%s)#U=;B&1L2 zY9_Tmat&kX;4{(5I^a9m5M#!mV3A2HBB^X6wb}9+^~d4dYI? zaa>Dp@f`U*sZb{6Jd!J+?K!N> zV&wNy#IkpN%t&{dZj<>)i_Y!6B0hgFCG*#)<5`95dxb@G9D}?i+AYhDTbXs2`nJS& z`xY+`6*k}WxF|eGmD}-Q=X47SK|t7mR1fb{Z|z#)<3}R16sV{*-81bNq(@p+N>R-F z?EdvRyJB8NDoI@vjy?xMA8ihVOw|+{RY(8% zEH}K?*Sv4_;^uo@>LQbhgPf`1v4fnsLiV!3?vj(z@wct-&WLg=+B&?pxu060Mq5=n zGE@67P_FU}J|f<%Sa6OS^Al#KWA+bmj_OpV>2vZhg_Yi8R&y^Ul%q$iJwgS|zy1yg z&rZGn@_Y=y*|%DcMN@B{^{Flv$hlW%0@H~k&aXPZv0qzwHTel{a;ttJsMh-ZRfnsC z9Y1W!E;jOn#=SMF%5!vUn2K-oov>}p_|O#n(;{Y^+RdTnQy%+A$^yOntlB1Ls{DKZ zlC#F2`-P^)2jDfxMB<&bV=;-jv*u0n-dCzP=)w`K7-Isb`Z1P$Fod;2`fq4#2}P04 zj+gQ$AG;Iri-jgQ9lv~viXRJUkxpw~eicPg)ipQ0oW3pE4F8z^%&3iXrFDK%r+Js= zZfVb7(_hh(r;BY&iKn+(^XwcO*GRS0{?v+o)w;j(&B@x=&dql`enKGqS3~-uB`F5Z znSjc5QIF-+_oHl`3TR|!lWBSFBe$ zQReHBzVd#0Y4*eIg*Jt#gA0novp<>NFs^lKa3Sa$B_)=dFv`sycdPN5$8iJQEmOkc zEl^B8+z0f5{EZugr^v}mK)No9oT!n`!k(&QM0J#w74iOO%#M%RZ*zpO9Tu=@nX7z+WMGNDU=>So{W z1gSoo)ljNz>f>WE1=6l14~vbNjyGZsZ}Ea*jn8a)asY!&sl^i3_UDF!gG17Jpku}i z0*6c5WAU6cEA^8nPllvZ*VpqRAN{B6`z#+nC@Z@t{9h5cR8N2_%qH|z9-eMr zq;8dDtafEFgM)*BfzHdzv)=GhR#wg>VKsD-Oabo#t?J9j2MtlA5x7Y(BcyW>$1R}S z7q-knEysQ3$}bm7Y|3&7zbm8XjY zKaU3V(|=tBbAVD3XsINq-~IjnTnpPR;%YB|*sZy>wH`x2lzDgtXoWP&Q9MIf6jI0G z0DYkTH&2T7>8b)9Jv|``q00k%SbC#f7=;1ityx#P0#}N~`gDtag(C~f45(5P_`?kd zz*Tu~9L~;DwKccm%M5AC`QdwUw}fLsE%;S1lTSr#L1d zp$R|X8@yuh@1KE}EoNNVs@rx=quq=qP1-{Ns1_~ee+?44$Dk8`)ieJcw8vj|oT*o3 z$fg7;`eb4SRs!b!oZuIvuDGFye}V8J{%!$e`(g=V(w>l{DCPm?K=cvd2-f zfuhmNV-*mTTh8vpg)<6oG8O>r@G}LB8+lvXD-eQ22F1gj+L9HsQH!+Yk*2R7KuUx4IYl|gxYFgP( zNC|uM-vv4ge*0R#@Bo+&B348nfP=smYwW~-jPCm{J8{6>@B-$>+FVxDB%qU(o;(pk zSkyB!Gu%-15%Xuh_hl+=WzATSbk6NRzEa90y#n0 z(m<{WBImC}y*BaT`Rs(F!lae)w^(wY;nH};z^gxwADUWg_B+^)f6ZqEPYZXL|MhNt zt~+as^~HNsbbo=t6n%h34MK1#PqO@oJmFd$pWfm3d+efeQPTn+ z@ScB4Fs!xpCL^ZG|H#K6q49B>V?`SfjzjUHQl87N2%3Rz-DUUYMbEKc+#`cjY46gf z!wwbm;@oGN+uL8Ic}S#Y!#R%HY4LPe4{c8?GB9J1c@FRv1mn!3n zcnDFjN}uaD@#Ujpk<8wSzWoS)d<20Xr;Wi|FdsgA$R_8@h74PzS4=d#oPw}Y6PN)( zJ7oY{4}~f%Ek&Ua6yL2|x1izxpLER(i}D|PR*uHeAxNguvN9LI!&tP$Ub42g|83#* zVrtE6_17(d3;;yK40o99-T*RCZiH&I>Lm@fEH)cn8X8m{OGEE^^1_S%P2WaTs({BC zaqX0m0N;WVhhZ^@+y9l3)`rraz);Egwz~c``Qjn?J|QSQg5b`ih6#BU6_up^^$q&2Zs-DFBSwiJaccYyCJ}=c z`~ezI4Gu$1;L?&aWxe$Y0Rf&poAKofBM%Rcewh`eN+fd#Xm6p)v8d?VPX7(?+vG=# zmUQLc5BY~b9w)nyszfjau_?YlW<%ipe2C-_{{OvZ7z#Bzyaqz?QuLJ?~t=*&LUZL1O__80%PhH%~IzOSQmQCwUv zS1VCdMTJ!3`X4&5qtIK)c=KX?Z}PFglfVI7n320$jjUcAH~;qZ-J z8H$47Im4n_SPYZtco2gLwibWn1RZ$4-{@U#E{7oCJ?7^TLzNP*HFL{HkJ$M5C=s_2 z5a~Pj89bhs_BnFfsaXO>yFk?{AwNuYn}2)B!Cr^&A8#sXEFwZr6n<=u z#Sp-P)&QI}jQc|01Q?C{nJtj=dCk_-!s;`}<_+(cHcUiA19PLnsmO=ArK<=K>emGX zG(9Akp8%0*8k|+`jeYYh9%~Rv25_4isq-%fAQqJJhUs3bJs4e?2Fk+Vyj!bwu135k zWX`OlQ>N$d6qb}|)j(>>G{EWGJia|(m2ggf3ef*%*eCc<8|krBo1&({DqslzHYexu zUV@QhjIglqAIKr`-d-GhVqlQyA1H=_6$*ADEwd?}smby2mw-dyJ=c}7UW`7n`;wER zf(uxfdn|X5DD6BhKRDss45;>mT#b|~wL4?J$FqCa7m_*KN|`$_aj>`sZ#Mpe&Q@}H zfo#f=Mfac0EV51`+nGkje?ZFr_1o{&VmT4Z5g+Qn;JjN9xZ$=k2EBbW=X~}svUajE z(Zpmp3z)Ho@&E)5+oLHrIwP3d^S;MAI5<26XsDq)z@C6<-@!34F%k8BbCDxT8fhSQ zXmc2UP0-_pW)3PGM?;a-1q_nrdh;0^tKdGRzrVt}Lt9fO2r*cIhk#)RBosVMnvG(S zdI9Jt4jvvd*oig(0xn~T`i|0XMWlE|hs&O|4X{wJf~D9v_#!pl*Lx5I83BYSAao$s zN0wGr|A_tn#Oon2t8%hcR_|#VBmn^N%=ru@K@6mz_8nX!klw6k>_P$-Kt{$-*BUFg zhwQZO-#^=%76;WKM57fBJkwPBPlkUGzo!ZW{#DA`CWP9{NpiH^kO5DMbtndJTPd#` zSfxF&vdS?wHC;g;!=5~rk3P)U#DpK-+gTdcs{vTQ6blh*ucG#-5RbS}F=7tEx+{O% zm6k?16aduRImzhbJ+J8))gfsZX@BHkpJBUUtffT*`3wXoSQx*<~N@_Sy$ICwN<};n_}MG z<6Ct{e=KL+!j`QdCwt~c#GR=z9yS=0*~OaRSBJuaV@0S_%^oRis*h*oz&!^NijYYe zcAN+WZs?O;mZTLs`zOdrR1$3b^CY9Hs;a|6EQu24W}x7ic#|O09Kw79%L7&fgczqO zONK(Kx5RD!UVD-_H2}iI5oD{8Q}tP-USs0oh)@V+&86p#cm|TNcHQ+d7y+q1Ih zP7%x0HuvGBZ9M<~QMZj<9Bk}eY%Cw0aWi#twzRhs6%ZB@kl;IG z;o{=pd|6P?_CG!$VDDrucq@x)x9mJm zG2BV2Ssxg_d*NxEx+ZmcIyAWD?Aa^SZgbm>FVB&pael5WnT>Tcny|$tCQgYunvU(Z z`&65VlGR^Pf?4p z>xKG@?b)wizuv!GJ3yC)(k2}$wof;0d8Zl80TYyN-13e;!SM&9X0$Oee$7LR?$1<4 zewYs*Kk{cQ!@OF3C@G0~$FEyf-53;wW5j>oVCzLhgeI~Ch=po>_B9<0cIc4h@aVrS zhd*q{I*^}ox%}nx=iIXAm>CC2B4T3V1@8m3lO@v-`R2`=T-QZSvijVzHyAov+G`uL zZN#Lc1!bqJQ<2p($(^9aty^q&?&8I#W^Hj_@E64xLKQqcrOMrwAJvDF7ut`>SrB^5 zQJpL~`8#*+1Q;`jS@%9~YEsQ;A=ZwHiV6-5&A042-`vvjBs@H~>}>T%RX(_|dH1@O zx7DV!@Sz(#AGtDazB^g$3F7f>Zgukkglv*ohkhGv63>|~eYJZ= zE8&W>rWJ}VBZS5W!x5~~!yC?X?WT3X#F_f#y_K29^`R@C^+FDp6N7^jWc;8{nRcYK zlve1!D)IF7&!X!?1v9gu?Q}3T4b8~CTeryIMu%Q)ahJrby2B~u4_>Z}l+&=WwMQHJ z{oLDJoFA)}hp`j0>3`|mAsekOx7%P+tzw8%G+-lhe6XSCyV;|3?b@#@U+>wDWb9Ny zmi%ed;jd;16y9Gy*=zq87aHPkfD`x{?etluU=6L zR3A7wIXmyJlw8jZJNMra1VE+UVmM(HE6v%5yoC}u-?LW*@ee@dnK#ja?le2 z^!`WrVdAk$9Np@GZ|sVVEm_&BN=keVDRtN9h}m_VmL5==QPXNl2v5`!vQNLdDd1Rb z_dAtXzue8W+V9W%FpupK_gHyYtC1>)rR%^IYcd?rkmW za=Q}Hd_(PhRDQC$AK$jC&W;n^HRuJyXT`zK-!|oX{W`HpW5lO>>1twj!!e=c%=uoM z3$Ke%X=!O?bIf8ES6p1gq}^Bk-e}uQe26;i*>$fe7B!x`xbe!Nk3&=IEGMTN9pi#g zPf+YT*79sIi_V&<&Hg+Soe~EQb(uB1<-u=UA|kI8f(Y&y82Hs4!kY4`fRQiJ%f6f; z8pDIy%V^S;^ndQjK5iaa7mLfGL|I5jMSNa7KC4}ze(!Zo)!tKPyOMy6oGKV*3thY(@Q3THc+bee7;m@=@wL8Ftdo zC`s3a`>$TVhGl$4RyOg|&1g3F5uE}vR#AqTUz9=OWI@C<=Q}GrojJL89@ z`-)yDC42kd`L65g>gLUFE>!H!#>2XPx3jZj(wltAn$CULF|5((jd=Wv;9$J%#h`szW3CMykH#yvf~Td=&ZUAv~FqSDv)gl$Xt0M-w+Xf zWSIQ(&2~qKFiwP&Y>#0>r>3TM|M6Chz$#VWO!o2LFU44*eb#?+m(HifH#IkZfIW6A zSuXMOXCAZm1kYjHuN2C$F)@Frj>zhbpr6D3$A^EhW69m!_h(yU>$jGNVkPX8DBC}W zD%OpE*l*p=(A_fzD!OwToz}&>|zA{sn{O%u7Dj>q9@QUjg={~8zC7VUAe!dqp7Lv z=$O|yP2(p0m(jjm(39?|dxD2A5=Cif(qDW(R@ zlVz8EXQ!u6(a=mKJuI@(38PJJ!0suwxJbI3I@&J5M(_f{Z>n9vt0^gwWT7C$$H!-D zAtfPEy>%<|mz?6&t5W+*1v`PZXZ{;&(Jq*b z>)pG*(hrxqn}er>A|oaJ2naAeJ6jfAswV)TF+WgX{$gvw<+4tx)48^I3Bohy&V@8I zC`J0x(bE?^{`qQZMN~#6;m;q7$e-!2I>Ou-$1gvopx}oqIx*pJqHrFYn~R$KAT#So zYFp^ZV3hR|`}FD4V^dSKkk5|8j~C2y2FD11OhwAi_8Iz{?yk@1`5$iD3>H3-Ki=)Y z3|#eSjS-ePSgmhOmQQ}mt0e->UcGw7AY_E0P1hFnJs%_Q??bw-^-%X2GEb=(&#Kn( z+Mt1N*7P*zZ=I2sPqrH=%QLFQap#VJ{+krD|179J++vm(aiM`(Z}{=!ccr&`)zO~y zW%rdOgSqVTl@Eo5Z|;0lzN4+JnqyF@oof`}A6eO5k+G{?k~|tP9A@-~`2<-w(dUf_ z0=HD&k)JI!mz8lAU{Gs%h|02dW7LDt5l;}9EzLx<*MKuioqPXRA%B8zrBt#s@tcWj zN@p>fDTdhSh!vSYLyCsL1nDUH^UeEOt7lPtYEF4 zQhul8q7);3%@x`%9IxTW?Q?QO0@2?#fwpNdNjaS*r5A9Kw|M`R-q0tiuu$yoy?gwh zZ>cGvg z9W9{mvHYzs^MdB^X%w!`eHuw@&g?-tWl%vKf;6dij0A6@ABy&@9<9H8c?v<4Or3(y zgE@cOB*q%%U7QX#`?_FMkM_ro*I{Nwth#vsx_|usbhC0(_caqyjIq(Qq@O&~J2}#7 zTMX79u#ovAye!=K?&l%)GtOkJoVAXr+oFfrz9P#1V2a)6Xm{@K$_TTN;IV;o+oeLg zk+?jQ#yrR2q_*@FC_l_`WPm0F`7w()F_42o`|01h~4_vW1ca4TUi)Um&XRhCXZfTq+UJ-Sy6^l)paRq>mG`R0O0#uGe4TS@8V-FQKK* zO9|Si;`P7hQu-J&c&VwP%1$wv7B%R&F5MGynpU-|K6Fb{OKgUTQXML?EnTf6jg|2f zIX>F1jukN_(Jym(5Ao$WqiE>*x|1NSz@_(eHG5~yvIty0V5ks0#wR4<=T}iuS_p45 zGYI|mD1SihOSg4SC0+SQJA{?y1S#i|wI9rR12#UJJz59`F6LAxW$Ty!PP@(QceHCR zcvzR3b{e(#th=@|lZ%BfI43#3EN<|NBx>WB1Z!R&FqVnXJ*yO8E@W&nF^*F|VC*RD zN+t+UNKC2=A>G|u%+aazy5zsxV#ve8lUt;H2bC$YL{YNi=j^v8)=!^u>@3AQ{(>sk zN8D#0=aw|P_(8|QS6B%I$`LF-?W+%!&CJeUziu}7b{|`v3_&NXwe^>#<4aEEraO*!zpfyq*WP92>h{OaCzwTzqU3VaY&^enCA^`~pMnHA({8 zI=cLt(!vE<(vp=wIyKyBFlG&AL2@*0yY_}MEJ--Q#x?sUt*hpgA+>__e{$Y?(-~bE z6&0F##Iy5r;RYl%I7v80zFo757G2DGw5vK1Jw4sejcZi4YuBZW3hFP3rW~G|z1?(} zR^ys;^*+n#1ELOnJkR5Fl`#mz-GR`y+dOc0Bdk;-w|VfP)#S#{T#v6({ykj|vpq>z z_YyL@pFvx(<9tDpKWcB{rdY&x+@u9gP6-q7k#6LD*8_~P9A|s-%uCzQ6KzE8EMl#?ngL;&ngVEVfXvKhqjj%QToRSCTLHEdF{7G z+SmK92+eiu^Bx#4J?YE2m@WHUkI28Ig{)M*f}+c-HZ7;}UPgF$q$MU|unW7|0NpMa z-NtZ{iTj}!<-e81arFvd+?CM;sUt+uG9Jxb?NdY{&#*z6_?;!+b{Q(@1;fFMay)l*eG1j9c;z`)p%Dw;k-Wtyt=&UBw`Zcqp~tl? zL9Oj9`bR`s@>=_G&0Do$+ci(4+xnh-acJ8x zLXC6%kNwA zQ|VqBL!;LYmrY49-%bg!r*t?0$4asEE-@9BRP-^tdK4+NNK!DR+#Ir+E^(%t^y4r+ z7PD;^vROL2=*HOT|8@61%qVKYsnmtBgbpI{NOV^QjnLSbK`LZu=neE`ZJQz-wtnk~ z0{3=@F*g70%N}bYJR`*Be=){bMUSgk)(#<~dFNaQ9G1&OQMbpxrl;JK$FkmoHLYCZ zl{n>uh8tX(y za^0>8irHtI`WAMkdWsYB|DA9gqgZhcpR>&<~>#ImN_uve_B z^zYJ$-4d!dY-JpkHn@FuJMfpG!h(^I-t0!0VM%v|{GER!2m%_Fa48Rwn2vG&5&iAP z&yuJdeZrxtkS1*gamu)&to^Bkh;Rmm9TvTfK&fh9DH(6H&;EyF*$V&$4bM)af^MfD zbymbn35?SpXAb#FBX~CZTBVMucGLc<;#`@mvi=_tB4vN_3;vj=hpR^nqJ{64^2y&W~WB{cAHp&ch#NWU)wGlD3)kQK-Z53-DDSLkKW!0 z6Us{8jkydf!AlJ-#PF?>;gulDyi|(smMvrGz|*ZRX(I%>uCDKX8_OvkSauk-b?7ob zHO6?uz1BKtLf#~$qI+Qh=xoLL6rAzyFZZsish#KK4E+1o<()v*fCF1j_0eTu>1bR6 z55DS&Q0CkL8@78u87ehOlk)~rI+UD`_O*=r2D`?h{~PSN-b>Fpn`9bVlT;j=6J1Hv zC5W+Y$;`S5!*mnpJgPlWI(liz=Db=$)A~%y{NOj<*x1;m;nI!ZA=}}SD2N?SwfOY+ z_x<2z19>K4-d;czD(+MrTY3t(l+-Oz?a$YzS0{IH*H3<#J$Rt5yPr8RNb~~Js$#U` z-O2NlrOK@L?d-=Hc(#RD3^4{W-m?fB)6vm!Ss9Lc$Xz6BRHhj732m1OfJ>OY$ z4Y3HMUDquLYSJWU0y?^>4pbQeFz6l1%F3bMu_JceTwFmF6%|u<+v7o$)a>jXO;KEt z*+YYw zr+e_)CHoS_4xfGd1{~BwA-o5_y8*I%$IFS3DR}UytEw6StM9Sfn29!AuOk)Aef0h5 z)Jn1aSQQzI*c2sVUwwOliD;pTFQG`v!Y_>Ev^YHRIR|^Pit#^s}Onh)$ zof=wQ~M3jufTCi86mK$ zsze+d959n%yBl*f)YNtGVuq|*ytr-nvu7qFWee<-;&#K5PoF*=?s~`XDi)g5bL7As ztQ@fI#j&b&!_pW?hOW&1iUp$|9bl!3Zet0*n zBUt&$RPXG;N^({f;9F`0{w)-XjE4{+YCztT0@7Nhc3vPpDP4(lsLg0aEUUDYoLPMR z#CRCH-}u*z>`C|PeOBPVsgUpatbL~s4h!>M6g$v*Z1QJQ!uhB`WukMUU7)S zt)k>dLNd=DGL_mh+3O;?h&p@{X1``B1IhtWgScfz_4Dcd8n2ggTf z=e_ue90;~YBjY6gsN1|@fps zDG1dIpii$&6UiQgOQsm(KtvMe=i~n=@^%|VXBYYux3?EbbHf&9u5{kLX|8XwMHGQ0 z`_)7FgyuApSWq~Fq&A+ne@L+CNhXr2_8DK}YhSjyLzuh}VX2!TL9Z{e?EOIsPf+dQ z4up-~O#?fDn>roQGdCk~QktGv2w4CJ3~#X^CP#FM{fJP zoGbif=qZu=eymMF+JIs&728Z#^MPNZYHaW!0;(9Kt(XN#)a}+?*~QG0^+5p_=vJDc zQE*{LMiU}2=cV`NI7sI{pm^@m+}^xp1YHMh@tRegEJNW#=+N2K3(zQdpRLAq+(`$? zuT}YxSCni-`md%ul3yCKLy}d_ZzorX(6IRZBcTr&CF*hHGR-4YN+xIkB%^z%(_g+w zZsO5VMeQk|HIQuO-yZkNm*)3Ie};f#Y6_w%;Ih?1rzU81zR8MFWuSJ-*Bb;=HOb3|%=eg5``+wtOTSjN!WHy7@e z93Sl?TJV=IUl7Cu{1&wzl@UySfycLP)MgecrTU}w{*^jJRHj*$3 z#b0#cwzjU*54+ z;l&kQn(Lv0iNm@7f2Cpl-v^SBp&plH6kzAa&!3xQZ3pr{MYL<++(=l#MMjG56k3Rn z?>PkF*YWX-2D473O>J$T%sY}AGsp5wR5Y{oeu54=-1R_9|NAw1{Ra5OVj%zAg$ozX zoA|T^y{MvCDauZ z{|oGci1HF1SV;-bJkj-C;}+x<1gqL|W~~ftemlmHa;x9CK{C}C$$jC%e9RioH5m&Y z24n-kN(8aA6;k^cA!8gEc$dZA7bghr2nfzte%Q?_!b{()|-bGh}kA|Lw z<5Bzi6E?|WIQ`D$3yaCf_`LK&&;WH8@Pu_G;tb#hJi)XW0z4GkzL=AT4^V;a=TgE> zoPM(gwz&rabYb2+3`miNSOzw5`bSIYjk%=Fai!tBgBY)0(d%oAL(j#xP?XcaKhNf6Kop?MEyc8OQQ`}eTkEzYWtZB5ed)0 zg$6q{gy0b{2vTvWspCRGuYtPeUFNs^7;k_4ISy-UApT!CkdKDT;VN?0K0t@WpC~D* z%1EPnJ9!bd6aicqGz@YZ{uAIvL;WkY=pybo+c$)Z8J)bdtsw+s!%5A6v}^IDOc6js ztCRP#no%YGluKjQwuoeUDFu36!fMn<>b*&0Q_G_ zZ}T?d=$YHH{(D<`F@{2Tz?T>j43tdHNlC?qhZFto>e4B5nRo2-g~EX9&6^*Amp~;1 z1H$Oq@0)_2nMifUs9-=Q4fd_qzF4Zl)bw;w z)8^A6qM|zGZv1O&Yp|zMuhT$zNe)CdRc&nsZ1u4mkRZUL*Riql201`Tbt8QOC|%0a z|0}>u9byhuu(K1e?#rH`^xp|;^nOOi&nYLDM8SGl$m_4g*3!Vexy_p|9o+GLAq!=4 z3}=#h^?!2u#*ysLpTl9tYiMeQ0=qgs!XB4EIcylay*v~hfJ+EkH9~t!p+Zo)l;6_S z(o#R+z*111pD)tf+&rA~?Af!$@uk$!&VSZBa9SDt7fhERL7;^i>dW|eBr@3!7QT1K zj-tpIMH(vYK%G^+eftxP1K-2Ka5>*SxLiU4%lX@J(;4gMI!{Ol@hP+;v7~?iMOeLp zf36zLFXsXji$k}-*eCnO|HWsiZH2#JDrarR!`FzE6s02|(e z`KB%Ni7&g=VN;a%1{$A4lY)?6r$_Pxb*)H~GLCq*^wk=+3-w(33U%!5_ zy$;uXT{PPf6q0MW{R#wyW0IJgH9(-BGYAKQV(schG|TqAWS zHB?ihu(Y%+v>kc}gC@5#j%(mGe=hBIJi!$p(GW!^uEXX&52r13_vh{Dp2n8G*_>{RW{s5Xh%z9Pae)Rc> zU#da@$p5-_r6F0m#ng<9*Bc{PJ$GlK8G&4*D8ho+{dNL??camq0Eko323{8^W&ghX zf%B$|zVFBZb-?(rufi2*SVOc;===D$YFdtt!tm!bE$zHhZj4+7^SfJN8+Ktg*^A1U z0AE6@s&S{;u0&y|((`~6H5?-Z>l`@&paJ>{K#9Nu3jB>BWl5Io2c8!PBpw05zg*inzAX3kWlsOb47d)gCJg6Zz{i0P|!7vvX+xOL;!)k+o#Bt;>hc4 zfB;hiCG^uHsGK`DG!S6&7?5+49KpEBMz~r9M|R@wy&wf(jO^=HsNsB5QpiVKs}0Ir zE|~myK2bWCv@vUZEi)aVunm!(mrzIZ>i&}j9dfux!RDqwX)qK)oyL5(*B~?Z+UVr$ z{mMdC<{)~XrLYLLb<{@>XtFaE`S;H+T#Ur1M^Hig#Az9LhCt=i6KP__Ksh07 zRAPk9IVr$S)@Gn{KYR!Tv_Q%2PSa$UEnGw)MFA-BS9n@bSr6EFaYA(1;m;wc5$%w9 z4MN1mcY4EIhY3ZfRFl>~&CznO@QVZ`|D(#U>UfBt#brQ_dCjdp3+1{`us`+OM_hqD z(qbUpEf*wz)~&ljcLj-!Yl0l3!=8X)13cZQ0L_2M&rZi@(g-vQ^@O2NdDJVE7TIOMIe;ul-%5x zAPXJscKC}J)u5o=Y}?gm+Bw%r`j<4SC~uIQM6HIl473AMUUR6$M^$Y0>Vho!k>sZ+^M_CRPl_5;faUQHvre=Bq>Z)o`d${OZfX}3pZ3d8+7 zX%t|kQ^EumS@%VFZp`MHw$RD#{oxX*{CgLLsI@LGg)m@~>~U;<=T}!;dwY@0Jwyw4 zJeZh7-APr`!jAzT1G`|wDh}eQ zm`nDTLmB$*o}-jmMY!5@lnUG0?8LQ9^McqcjBa$?Hu`*$=?N1awM8e$dW(0+AIp4H ziA0)?f{~$t}Fc2VFJ&drDvhu5_s9M45KL-3?Odcd7oOF_~ zf(f;~GIA5JDpF?@`0dupi1&^CIB9nQz}H&|l2J1)(OuuHwIF5>lscP#Ta>W;9lXC% z9$8T#dXBkG=WyQs4%t;i1H4IYizAX)i`e?JI25t0^B& zKP}chF&k_*qHo=}aXGCRyFKRL0k^FIW6)fWi3IqEXn8d??%q`d<^mI2XxSAyTIrqK zd*tNg6eDJNcZBZ3W-{05N3V@LE<@Cdp*x9s3hf#E7}sq{qjME)WO@b?s+kiyN zw$CRZVD|IXxyBLme-HnvFYe1xtFfLyhQ}ebgFeD1|5sU5iS7i{UOfm2`= z7^|@Dpcu+VoEeEF;9W}d-QNOxiICrc$Gv?0@#+67W6>vup-&t zj;RcYcmGz#35nGs^e8cg1XeJ~yF&LL;td{zeJVrCVWy?`4u4Rm?F$fyJMs2aO%es1w{7(tAp~|n2NYxN z9Atd|WPpKjAUO#>Ah>b@$srKkeXd`vg*eHM-0o8vFvBuD5IuS!A6ffUQm>9XP|VuA zbs`tx@gsM9`aFc7t=01cGM)hw*@@eiyCRFE{+U24CaqVJY7pk|h#dK__1E`C5K7Nc1xWrH`k0CdR2ZN@c1`yryahsj7oIb~+L@Xqm4ki{ z^Ns`8&^)2l4T{K*pO=X8RZdplHataU$_d{(d8ZSZxIE+nv=<431TJ8LuKjZ(NOv1Z zsD5<{{YubMM@Ap%OvZf!0!>K4gn2hiRZflI!hp)r zX`mezy1$&|<_5t@!OQFN&1eDHl`>FAKvfbrBQE}~zh4`~sR*6pP-Z(YdwAZ06}`D- z86I;{5RKKR6i7!BF;xxX7?dP9xbh1MVkI3pTcQQifgC(GGs_3_lvST$p#>GtU)E&b zEk-~@#N%{Ru<{LT9nZ|ZVtYfkrT&Q|1MlTah6xcw4TZrki5%Wtoj9M70fg!dwGevs zCwKC6TD%=6FYhy`0f_?qfB5hrM#|aj+hX;4Gw-ld3qO)J0AE@^*ysSJ50c8JwjkJl zz!0>3nwfd=Sr-+$oHedUbZ%1#8KC#znwpuJ;nOX8{`@)Fwn+JinzAwhbnen%Blxet zJ(_a;^?9}ydj5w>K0Y#tn+n(fBo66n*7Q;wveasTy{EwcdMVF)+YTI~AX2flKqW!D z!0h&mEk}sWuiw0xrsCY+T5bV;f_T)x_%`f~t<-ZHFrA*6nQ)Md7*NsCVKg;0UFier zmF}s`8Fs1XB&YL6Q=zOE^BUQvHv0_Ce|-R?S1O67gd|IL4E!Kqp|Kn);)lfWgL<-D z;}SPFcNlbcH`R=odgZ-QHx5j070sz=%+%zhgCxu8)2BW71bKMQ2n(+T56P`H(8z4{ zoA?~8H6mfrVFa?cQ}pzWWv)GxEyDj<_Rv*ZR#J+fbKhaRB1;Y(@Zkab8syL;m zYVHiY|A?qoBP)pZ_&$v75r7rQPKkddfl`}xB*}ufSuwa>Utj+uA_Ag`)u(l8hj{_X z)%cS&(+Ms!qL+z@ZQwtN0X_n*P%{|fH}BrPdixf?2CQd{5_SpRhv4%Q1^fi>-E}7? z5zwBd=jQI+y^DjSSpTw4ac+)Bfv18)?1sqPr8A&A?5NfZ<4St08o4bGeg}fr)X|X+ zz2wu*tr-!144%{eWtH_Mh*~@lqdQX+*!GcijBu%cl~|oZ1Or(KVkgIC<1x1aF4Y$2 zEX2$bh-nidt6$*6dGKG;tAwiKh!A_TD>>B)KX4J!e-}HyFO31UrCax;Lf`}Paf6lP zKR@3@ets((ux%u7UjzHE35m2)M|9Ucz%S5`43g zha@py5EMF4(8dk7v~17dh7Wl_MIgMo^W>^r$W;}$K|T+UL@@JNvpEh{=S1nbi-p_^ zUO;`O1LRo~0Z8({<4Np+C6K&thsa2Gb51^>+;);B?$~}jDYwX`LAM2MiZ03q1RaPt zOwegdQfXG2yPkt;!(C8#!c}PQu|O?~TYH z&8e8zVC3_pI2s{$;;yabwCE)!sK$}-C9xG0!9KC+Ya|Qg?|Pp}G)oZ@xq@pR(qn#x zle!Zb)azYE7;*|a#d*7oj4$5pS64@PS6!HVJhDnRI#<3>=mWRDRbLan z!wh8uG!v>g2cym&>Pp(y$3fLObzbt=zB9#ggoR5CXYY1E?_90_3dWGW_OHQeBYm4G zxHgf9c$AipFVwk$9{xrr=RMujCB4Mq(C)BPpLi;9I?*J}z}kSq&qQ*`fV3bxSdM1= zKssXi7O)_@lcr95HDls&^`C-+bsx50KP>uLLAHNrZB&AaXKeKvn~D#JpOTKd+E{Tc zp}kAsBl2tMtjPHB8Ij)oMtUmZD`kW*YGSuAs}`cSmJfRttRn0U(LN5`G9#>-6_0v{ z)^0EyULx~pFIHbBvbSK{X!Z}_BJ1@-bsW|DAVoQrs~~C|{V)^7;tp4_%#PU^Oxg@L zCp^-<3gyx+;mooI&vA*Jg|XaeozMOD0@hv30&JA#sXF&)VyYtxncKLZR7lm?C?v)b z$41tb`uCnQri!|V^A-PpGlGu^ks-tqunxH6SuhwF`Vr^uXQ%pE^>iJSZZhv|;cw*6 z>gs?|ZAV4dqY(erp=`zFew&c}JxlFNV@nvvaS5!WLdK!O8N=M5Cf-IQu$t$sajM=QI7d(>Qgr-&f7(mWC)eqGo*q zN3sjbE&@?J(d_=sO!5Pq)x#}IZqkrR0^jJdVBg=yri0D|ax5y>xSn8rV*`qG4mn6E z2Dl$Weqfut14B%S+wA?s^+S!q8CA)H<C@GGbw6(r!zB1>Op#D!^W%iUkYnR?-{9U z$pYyQSbrVm@5Wz-Q0La@~yShR&L?reiHt!{21OG!;5W??& z^xlv7H>%WQY|2Ro+jNxBy~2Bff{wN7O~uesKhYkn_;XC)Q3^&lw(}&ehq@<+On0P8EpdqK^9^QJwoivW{H82%}q|#Ga;q>3l z?TKAfYxY#aFZ=Na4etBb89sn$AxK=jKs>YGnjY@sLCJEl81Zx^6NjT1z=r{{$&gu?H1$vzn+CHLjagC^8b zsMCpfTt_ByA{0hH#bR8gPA^1WrXr>QYKcaOy08fWT+?iGp$Bmj{r-Iyq!tu|oKJ}g zchtWkT^J}||1VtcJe*b2L?JiXf;nonU_FOWbY8^}p*blHHye;2Gc zIBuC3ErMEnlZg-BZTnziSa^?NB zbBNqZ5$Ue#f41L99e<};J=C)X@8K7OPjPbpUcQXDTl|h}b3OAA>wGsFx%ul-4;+^Y z>V%oqJ&hgP*FCh*tEa%lntt{#3$03ldvyyNszq2|`zRxWno7zRxz;7BUR1U>E7SS9 z?4H%$7vnOIT^~UG`x;a*Q`0`Y9xv-VbC$Z7KR6Ow3`u-c7Z4{-r;860aJAGW=Av%} z*_%JqjSO$H1j7-^Oyb%=9t~U!YbFkcTW}P>`~ulA4x9@Gk7?EYQ7Ie>eaoMEb=IVgTn| zX7c!2S7(k)Dw_kGqj>UAW7h`(9W#M13@t0JQ3*l`xLt!)mW;lcA;SwSc)s_wmw?(V1|6shof&tX?1odi0aER&czZ%H5q6}ak3!M`P zOw7p2x|hm^4CI%a5gG{pv?ctmJFzLR@Ex6zvF`8PTW@`}Mu&hkThd8t#4ISOxQ?9t z%Ez<)8>Foz3|0OkgI?Eg5@5Vl^`AWtk*`F9@oK1ebu_EYe_08f#Vvg`0b^(8SxRO- zbEReaEZLD@VmL1Ee&xG@wH4iofrWFlvyh(*e4(FOI=FT9qx`>08WkNJ z7S*z-uc5o9s4z{*PdzF@i1@E`l4s;hf^4mZ1m%Gpob=agT*wr~M< z4wZd@bZZ1TvAM#$n#b~G9^SmNi;J0ur{pSH5~_FnR4cdsZqE>fR7KW(b3P-(BtBRB zmvp@En(N)Ks=mmIoFtui0XyZrg3Rg6V0Sw>`?v7b$9~@(Hk47x_>!?hZGYK-{oIj| z71ddnfWva*cGS)R`>by$rxO`+dr-4}SM;?}QCQ1k)Y)>&IL9syljTr|hdEk0Q|avr zIww?@{VwD`@O;n6Cp=ydHqj%mIGrb$E%pR;%SEfEbAYb#&e&I-a)NNdXXOKzHMD-n3;#k*r zL#DNwHL3EHW|gVygMZSgaJ)o;Afs);)m@X-qp_6h@m-5}R6G=K>xUP?)@RYp5?Y0( z`ZX#$J8+fb3v(+gfp;IA9d$}d7=UCWV#r}YVEZx)I#3#MJD|WUc zSd`=Ilb)X5_M^&KAvtM3$#v%r!P#Z>16y6QBY7^@W;2F>we;`c7~XA^KT-gR6Ux0a z^XbWHDv@kG+52$jP1v{&4}7pcpi;EcSAFz7M%YBA*K<685H#dhjrmXl&xHd*OnvwN z%K<;{U3O8bFNS3G74$3V?ycNm2U2|%!8&6M1g*^EW7P!4r`Y+#bzf<= zi5j}Ip|oU|4^dthNhIRm+xPhN=i_}||7PPH!;yQLoF;-KB=NnD3X%2r>wN20p%jmJ z^G?|JPb0dRtBi5Zro|<{p4ESUEpA|{oC4DLD-ZwOr-c{;;GE=zdufRK3OtifBIVsW zJK^*JL^kH5okscf;_AcYl6_eyN$gI)Rv*r}s)#e$$HBQ70B3AS1co0MIRNRd@aGrl zU1(nD{m=*pNt|og&G*F*0vP`uNs_*kv5ufAv0|If39c24&9cxOC}4wRx#+L$ar;Ik zon`0l#Xl~zO2ru2MWeZk&KD&Q3LIX0N>!$ge`f0t55FC{)2^au>|?$$&^=l*?I#x9 zV&gcnR%zZpyLuqm%H#&yo1$BjCI-WAA5m3XqByWKZ8IuUc8K+Xjj8r`4 zCk>~0JBW*KtEoZRNVum6)gCVq2{nKOH~l?QMI|d+Lo`4bxGdvGXS;-a)~+p+@)}&y zJw|0G;8^OsdsqL?e!Pvjb<9=uEX3Z8yLo~P1WS6h1XT|^ZnW0)&EE)@ znws9{9U?66RjgH?_2b2TG@rfDR~)7|jHMu~yO0C{+K^VPA+q(oxta#89`LT3OnrZz#&@F0KDfkDqUv^6oK?Mub<>SD4?AEmYS;b92*q)Z?0ka?)Id;dP0TQ*wjlDYx$ z6R~>z8Pnm0`vtTjVw2tNcPg5(xa0p`+VK!4=01Bi;rF4J%1t;v3ps|%pUwbQX*VIu z-)99%#&P@()>NQgdVg6QD+M1*6jG)WZ!`t$_sIu&nBtgzI_gM6I44kelXj^fwm^AVwfJOv?-9B z6aRRW?lzT#Oc~e8nstnCMQiK#d>M+S%rPJ}{oeUCU5ce;-r&(+x^h;5iY^;j@BNP1 zn&FPk(4%{8bfx!ZWF8lt&5onA9u4!Aj;Nq#!e16?4fr}_XmxvzrkwSWZv4Hlss{_% zLfC7WOeF5vfuI{izmi~al`6gSigA57K(MDGnB`Aaj{?ksk)9q4$b{fyiJXDMu2Avq z9dKlluxrKoZA(M%-G^Nf+lrf85n@mj=GQICEMS7~u1Iv3UNW#Qx=|Tx>PGSe3pDML zmgb|->JR*8=|LPhd)ubfMfA08hB1|S5_7f8^{sOxh9dLR+s14c!^n?=da$)|$6jtu zMAnZ9vedLlrGe5xmS;j$1&jv~ReXHtHt6g>0xq|N zL^K@GK$&sB93IxQD_<_UEUgBL>SAAxd4H~Pqdqr?=c}u$m!;Ff!wKWbvv=s1Mu_68 z#0b@@{u=-3?l>0wB1IXiVAZ&Nik9%|7};~jg%7Wd8vM_=Q~Ml>@g5tzzhVoE4 zZ$r*tgM15f0w+h?<6fVpLK6{-hVgh-MS70)#B;S8%li3~x-gSWkY{DDYKNlPNAatD z@HnVuMI+-2Vg1KB2gfOt&tQ#5`De9#It);_=2u!=c4kaA{Hl`Wx0WUb&x|g88=Al9 zdE z8l-z1qo$V}2U!1O6GSVAFOYzu-C7e@WM`3Wn>~)EgcH?T+@ZJen%G8^HsMxW3n$an z!53zPQOd6Fq_?tsH{W<-ImI`q?9-ju6RZ38c`JnLmX@Ek+5D7tS#8??Wgf$ypO_<3 z|Gv7o^~Sfqhpbo7o$T|tXE_bDs@SXiY1fZBSd8dfg-7n@gd`O|l#UUuQOCxaETSLF zS@oX&bCIGhu-tfnZ^PB5c_JWo|LQa6?)mp@o!iAYMp=L0GICQ+b%T^}SgN32@lz4~ zRgfx^t0>OLN7pR*!Qn%;kK_4`i&~O{75x?L0uz~gt_B~l_NP(S*VxZc_!&PQLy#Oo&K zbA8&Q+KI_&+Pv|)@+-FWCVtDVDu#Mi>-`>ZsP}JsClZBvkF|#{75PP|s&r5nFxI-? z^G?S5@u|s90*7{?okNQPdPn^)l0?qgBHqnE3IpZ+AIY_=oyGjw*G1=Q{zX$$RXcrV z@$(s~P|qD#agJ@X+j=OA&1saA*t%b;x2j2(8AnJZEadclxBqe!>f?Xj>y>d$PI7Hu zN6p?aSBvh^D73GiNq4UvZJe4|Om8)4sviw_Bj2sx#wnNjpREjP)!`Jcp9iiU?QH&e z+Xyl~{jSD0z}pVCv9kv~9SVK5qhGWd2>%{tp|pATP)}5Act+7TlOa#5t5tN?c}yee zo+=f5vwmmFet$z{b?{U{lUbCV zU8U8l9U<~Gv$?N-NhJlCC)b9s#!)Tg_6-OFqLn7(&iXpb)Mkyb=!~vVZ^+fYA$@O= zv3qOs6%L$s4Xye#H*%vg1@#%8WONTz`OSt`^k|#cnslo)`jYJ_)qQeR9Jn1)L1=UCUoz+O)gpO06>K`Zv}MROD{yG{+f2!6Cerl6rRoO< zl@_1|0;_sw0oSEze)5^2+s4*YkI6RTlGU~>xE+=Xv$0Rah$z<{l5wPC#OtL^Kyd?O`&l`5nN|8tEt>vzP`kq5 z|K2Vx=7BS^XZ$b;0zv1hS0-RGWyMzLc(1V74;gNpLbBWN#X~gcLJh3r{o51{=D|4w9oL5om{nfRxh8Exw07ak-d3OAkV2-OpMQZo-QREIjT`DRrh*0`B?M2d4;m_1;M9 zYetjD$R^4vPOQ~^@Gfm5iwWx^b|t*+JZdZv^y%<(GDSRj*hoZu#GE>_B#RqM5!WKS zXUFiE@P1*eYd@v^)Mt?a+qd$ycA~|3Lp8>t_1Pl?5%slwCbIE!;;?YO$ocsvUzC-; zCDU&s-fl%zufuP3)VY0Cjh>LQR8qswMO$WTuJ&t7#I|3^>%$qfW_Wd4Omf=k&IJ7J za%V!szwGO7!OY8+arp1d5tZuUHCOa+y8>frmNUym&8KwEUD1p!E)6=j;=26coo7{c ze%0aWz8tgTqWZ=7MHU0)9@AOt^1~*l4F+zVJ_2!>zDxdE4|=m?#7p`l{Mk0k7A`+{ zckf%$$D&Woi(HK&ef5<|Z5zJM1t#qogS!`p?tC&RKm7C1DtE+jLDEbP$5nOnB0(t|4i=fzY?P%G)&3ry zo-^xHHvUbf2*IAYu)>5r&ZeO+AaQI`+=)|bW4q?Q9JW& zML`*!PsLczgl)#{Hcr2^G9x0Dx;!bvb3$4Jp%;f9WdF$Oo@FUDeiiIojQshp2Wx@S9$GYYYX?&w)*}QY*SgvcD&D4v8aHdQck zww?Op61!MRCTgKsPT3c=e9`&i+#**%_vd{3XvfqvnrwTPZ&eu!`;FO#-w38wJ+<^Z zYJ6-STXP@0?|L{Ehk>hv1x8L{s z{k-0U$L$U#&E@tL+zDWDW_suB6lYV{O~(bw{5f>Ha>2Rx zGFD6Sx!Ioq-S-?0iK=Wd+jeGShJu{JVH8pU}4K+cjrx80RxKmn6~~;lw-f_*MEN%xfN@-iG3PM|-q_ z@&ZpNG-!@-J8#b)KD||>S7kYP#QK-_#OOvP{@@>20 zN+ouV36zpndZk>yjx)3iQb{JM<0T0S%E;NR2*Q?)qWasAN@&Tu$Jx^_9HdP2*2rad z81374o->KK6pns_9U)hel7PGohuYiOF>F!21P7GRS4Nq;3>qJmvhE{L5ap{Gp?dZz zaW;e!8xsTe-`w2%WpQ;z#>;Z~-PNT($LxH6`V6W1q9XOmK%S|WR{=e_X-Em@2q3a^ zXVSq#K(<6D)mEi*jXd6e6-8QdHFfuI?B)v&iiqv+b|IKP8Hhn}Peg8pP_QC8B3%EU z4jh08MKeGY-}oK!Xnr%#+^QT62-t!jyP*CEUb?|GM z3higPMn!kkM&`d1&F`)I(#asKmAB_LuVxA;CjhB*R>eNSFSL%%Kt)UaZ=loUN^kTq3-6uGL<|K41m~b|=_(HQmd5fZ8*9S9G zQVTL?7Vm{D_TDmGPnvq~J5>HZ84GnJ)s>g1qk2- z6^av-V^%EJWQ<;EjCu^nJhg{z2xK>cK{CSy7GVwnh%rRtWmc>qO~mu~gPh9=3Hwf* z*hr!;V1T}7tqncID*cyhK3f7CxCo ze^4X@ea6R3M)QFnrCOCN-*1x262E=RRRAKlsSer!^H3HFo&+{SeTz+GflN8(%9V&&|s~Z^iSVe<05YJPna~B1S z+Y;3O!>!YCmqV6rtwB9>n?vz6I|2m4m76*nA2@}k96@( zcTxuN++~%k(vjLrCk{TB{`(P)5vv{CyL~wFR;*Vm1N%bC+Ss)1?53j5KhW%)yP+ad zXj&?>&RtqwxAU8?7*guJAwqlMDOQs!?kv`daXs1Hgc92&47$Nmu0u)2KHjdmKy%`K zTN_>sBEN6d(0o7G7OTYb8K6OppB0~N ztdspw|E9RNXGK3udfSy>*82$0)X%s1VCmHBmd&cFmkbv9OvJLtR3=(3cGKi-v=S4y z6GSCMsTD8MN&ZuLn!N&h6#Cx9%BGguwo7P z)h*7cU=nP=xC6w;A_ECuyYNCp#E#<+K43RZMbjrLqOhnSxpA?fzaI7`9Ol)*HIQ+K z5_h8+`#h?>3?zK; z=QW{6>qoZC3B8P^!rDHr1sb&W_Vyq_o1ug@jB2wOn#uYh!L5?@BzHpcCN#&8B$5}w zwX8ZaoiQoCgz`trS9H=hL<+e-QaTgUUs_Hp7PsTx06nbjueDe%R%M5+WL~I4 z6uJ0x|NV^57eoUw+n-kWZO*qX^%bX-V?+|V0xvaB|FaT@BwCs1jb8xZg0W{E_a8Ah z>e9I6(jo(1e?b6#&>~OmZ`p_pHatpFu_-Hyc`ylK%*=DF{WACu1L)ppTG9bu{%Qq039EA{*WQ~X) zit%}Bk2ibOOj|jGOk4KSd3so?U)8p32Cj|Bcno{07SaZJzd9GhAl#pS`?-0y)GVqC zm&mL!R18Uksp|@6?j*JyeEis;Nd==^rlG>w3s~oTu&7P;1orV!h46)=%+~%Iji^z* zdUS=Om|PHn{GMpX*jD-2mq^17s*V@!W;pi9qMw-fAY5Weo=Rn0>i2;}0Exi)12|dE ziWh`%i%f*APQmY5TVJ(wOMEraGWvz^0a%s4rXMA{)t17teFFNApTzu{7NP_udHH#?9YI-_p*` zldN|K@tCm)l-|HtX$%qexZ#Q$Uzo0>mcc-Ml=W(+KUgN3A#tm!$2Z&*Xeh$WpwITbi4 z+pXX_&{YlQ-zWqVQoj1E#uuU$63<||9=f*Er$vZ$VXy{US7KtJSQR=PLh|x+JcVch zF9Aht_)xxs+K%LW5M;ex6p1Z^kb${&F)r>TybRfNV=x4!I9`k-Vf3%_GrC)V&ggQl z!DfQV)k;~$Y8twffOAO9gv6@&j5|U60T+kBk+(uYpBnin5146X<(!)1ih3Xobz~DUo$u_KxY(GP!(Pdr+9Bdj<`v!Di)hm{u7#`54LimnFDAe z$S?4>kk}`andwS+cX)vyxfJ3x`1;B*uS|rUs-fhC2x(0?!hs}9H&H$)L-vq>@ymy= zoeIK&*CSfH&i?})WaTgb diff --git a/recognition/OASIS-ImprovedUNet/predict.py b/recognition/OASIS-ImprovedUNet/predict.py index 83c72bf65..56d5043c9 100644 --- a/recognition/OASIS-ImprovedUNet/predict.py +++ b/recognition/OASIS-ImprovedUNet/predict.py @@ -4,6 +4,14 @@ from dataset import load_oasis_data from torch.utils.data import DataLoader, TensorDataset +def dice_coefficient(pred, target, epsilon=1e-6): + pred = pred.int() + target = target.int() + intersection = (pred & target).sum(dim=(1,2,3)) + union = pred.sum(dim=(1,2,3)) + target.sum(dim=(1,2,3)) + dice = (2 * intersection + epsilon) / (union + epsilon) + return dice.mean().item() + device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') model = ImprovedUNet(n_channels=1, n_classes=1).to(device) model.load_state_dict(torch.load('unet_epoch15.pth', map_location=device)) @@ -29,6 +37,10 @@ preds.append(out.cpu()) preds = torch.cat(preds, dim=0) +# Compute Dice coefficient +dice = dice_coefficient(preds, labels_tensor) +print(f"Dice coefficient on test set: {dice:.4f}") + # Visualize 3 sample predictions for i in range(3): fig, axs = plt.subplots(1, 3, figsize=(12, 4)) @@ -40,4 +52,3 @@ axs[2].set_title('Prediction') plt.savefig(f'prediction_{i}.png') plt.close(fig) - diff --git a/recognition/OASIS-ImprovedUNet/prediction_0.png b/recognition/OASIS-ImprovedUNet/prediction_0.png index f2558f489f38b26ae656d0e7bcabae11ffb6d3eb..8ef7323f0b94dc44fb405b3af6689421d5b0e983 100644 GIT binary patch literal 92369 zcmeEu^;^~7*6k*w1w>l9OIoCnP6z1CbPA;BK_pF$_Y}`HWxj2jP3kmXHsD6LDvTFzex)v26za(2Jd{z7 z&1W&V_Lk`e#kps-&6M9ijvV)GC7cF0Z+h5z8Czt~|M(TqxL4g^H&8d|-!m<>^kmIr z>WLOd3PzhC(SN??xyOSyQUCcneD60lq0xW6LQu=B4U_V}Uy(BUHmKu&yvY?l3!(r1 zkw@qM_bvXtV*k4q|2ZoEPuD_=p=j8CJ0asZuh$cTx9hBJ$&t9xp|g|9kD2Fzh0B} zZ_Bt&vj_>1{C&UQHe%U&H*bdCc4?%ze*HSuRHIpy`+^4LOX@{YMY$n*3+f07gI2WQ zX49Vl)EyFMqPCo|*G3hXd4Eop3P#u5HmXOhTEp;%9IC%pJ5oIjJbNU4IG2}$_n?I&AZWNqHD+P1GeNH4bo+a+pdBTN^foGj zh$h5dH2UH6BU~NXLpFml)2IZwGirm<-DkUVC%*<&*~o&2?WJFAAm5q!bG9#`{926- zv+*foIL)Gd=pP4~2upZgo3R=f#6#l_2e^TSz;`3a_u^bYpB@u%09 z3Uu+rvfs!xjJx#Z$(ipoj5&R}n;;W$_-kpOOEkBqvrka#PnG>JOOEem9V!SOpT?}5 zibU>2(99cs&eWs-it*b1XlCJ82TQT+<9GcZof9lGQ?N2fg^4^&b*I%86|vI!?+`Rh z#TOQ`_$^7z$n&I;t!>OSG1A82G@b31?{u*yEXjcn>`rBM{MsZmu3RBg|jJSf7|V6MOaQm4$GYp!>Yq$;XttO24BBZuHTvS$8b`__q{ry=} z&)hsP#7=E2fnLh%2ch`^CIJC~pvR&X%3o@aVIvT;O|Y2XV`<>r(5=d;5%DM5#XHMI z30CXhD+IIqxwyGoMnCRd@$~fM8t=6h_TFy6)iXB6FZ~)#$X|=f^ZTj(Euf*ddHk&< z7XQZsD{^x3X4@*ulY^au4VOT|e8-cc)2%=fRJ6Mq%jiM%gEa#_lXrO9#TUIA=&8)S znWqE)_;*O^n;mX8Y|WN6Y%1vKU2qb+#NTw{{_fp7x?^=4>cvb8TqqQs*Ll)fTf+&3 z9<1sktMUmpIBMo(@hY{L6SZ^Q0%b@2pzJXpW-#jGVZRFtZQN{4)9K~Kf!vsliJGEk z&z_AQ^YQSsrs&8<-FB`!mth_tQC2%kfZ{ZxZ4>N!*&R*6E9iINs+B9boB3XoBgLrJ zmDzS6C(8WK(db)~H(l1k$XZs|_R~&!j$F?acVjX0-MHen-!P*LCx_wDeA3+J(vs}H z1QCreHi^t{()UhdA#!Is30(aAp9BJS2rCBqug=8&Ii2~_LG^L_oK~JJeW_vjC-w|e z_sQeFj=X3kPF^0WU}w;#FKeP2WAtYldg*{OEs-Lcw9aw&_NW`nXqJj?S`s z+LF<9Vlx?Vya9pRF_$10|K@hh?9{`V@D>XcYSMSB5!oxZoeruwIANdCFW-J^(Sq4N zw^OvY5O;ODdA1`)&%hu;YO@yW`Sa)B>pVCOUK<4?e>FcIA07JsJ@V?bH&)>B#7zA7 zG-sY)h;fx|%ZleLY*a*xMKj~sHf~>*2(II3S^p8E$He`bg8Y2c{?tRpy{(x9RYrgE znrR>2v%|qah7k$aMCxt?1B5i4EC|q`vf?gXwH40NTGTW@x`A_TF&LLY_w~cQF*`es z>rdDM%HO={M|BzTrEB^7HyVAkY>OZY>dSpN&7I!=R7Og~cW?c*f8dIyc@N}@n3>xq zCc-FT_|4`sbaZf**<|wsu$ZbmS3bWUm6VhezI^%eEH52#%&7gz(b;}e`FGpHp9}B| zxQu?f6(_Gs%X;iZpY%a6iDdO9xorpp9%_CI_2i4bjE7NnLao4B|*n#XNP5`Rv9RSooic=U_>xc=9Gl!#<5|H#-_mPa7$$$3+S zF2O$ho!#=lJ3GhlDYnP#@@(GJc&^;g*Vm7nDb~sgd3m$gYN03XbXqmSQd{RFKn~UH zTw~WLW;Z}bPC*eRz{8%T*AN039zR$6@q|m$or)7Aj|pcHnLS!ao7;3OtEhbQ<~ki# zT==Sg;M(mO$xZ*g7mWVbUH)(i5~cj<%f3ni39IDQtJbfE=I0>?+w`V$PY=HA91i?* zJmXqtnkg43YjXQ`$LKTl6pNY(Bo0x{NDAK<|#4cYc1ZDdf4VTk+xbYa;W5R;uj*sjbM0CkLyBO|QO>!pBb3c<%b6 zIr#3hT$^CyV@*7o2npvt+o~=lX2_S7!o(;Gh)&~P2M34k^1##5nWIj@zLmH(G{F1N zme-?a+mGd#Nb&MtzQi{_nWd^S8(rHidHq_SPs;TNs;9SCxdFR>{vitqM<~wu8z*ME zx+v80@^a9~N_#LCZvIyXA*b(x9X_n8@zR_Ai&kBU%>Ls~`zlU!ET}pD96}CFc=CjH zdDka3HPvFiD=8XZ$UUwIA|ZHiNzu*CZ9ptLI~#+JM(67mNlbKf`@wg5{T}ac#&+}* z7!MRRH3?hMt^+$>zn6#AibqOHOWVFz-0k@J^pj_VtNNP3im!C#SH4=9cu~<9Jqg-V?@u6V?BOT7QJ=v^{VrSzAKBnoRl%_j>hJ3 zjsB-{!Iqi9Ha)4_R+O!#^R%iXE27acF+2NBe`J=#9FmUp+0EfsN{svM z)RA_hQyn^2efs@w0(ZLH(Q;Ael&uT8BEvHCI{ERjWR+)?Lo-$N8~*H(k59E#w^Gb}OL(muUll z#)D3|vtU4%tt*}k)#i`}1sb<2Zobf$y{2U1bnt%RiE0k(Y_YmYY@IwYYWurdT3 zSn`?Hl3tziy!a$Ld*{nd9ZP@;(c4-v9U($@Km7oZ$q6y?W5?SSj^C~^C4w)ASyf`2 zp%{`NFpOHlovo~K&qOOz5F<+qr@Fctc^Hg02H9yN$uaDj=|4gU`I|`s4;0q{d|l+w zYF;aEiU+iSF>~~-hWt?f>WrUAz}c_7xy5XkPjyRAV;-!1v)tdD>h!0($f@0aWz;m3 z^QkwcY#zx-u}l3qVH99 zBxew4a|muIt6$}T%!ZblIV5KAS!U)l`#?=)?kDu#c`Dk_?9sXK@Nk(;#nP{{-JE&t z$?TefZnH{$hrQ-1#>O;W8{^>sg|W*U_h?ZTpP#9t>Nz?QIN>Qt4+wWP=f3R0k5KQq zxT^>X^P9UggP=mBpu&Qm{LE-tpGavJ>~m`)=0k#H)I3nexnV<0`s`rtU_~b|y5er9 z)$Zz7h|P;@u?#Y_2<-8bW!$V^1eH^O5;g0r*{fgdF$CCyMfqa4fXa0X@e zC%dKTA}oJK_VPCnP1Lw_B2eVR+0k03E9%3o_>aYX& zVfOaS5hVf;T>RH=L+-#0*ex|j!?`zj4M<~u_C>aHtH+?sa)syGWh3&1UX4i=urEU9wY|kW^sU* zVxSd@FxqOtWo$p)pGiQ#O~cG7|K7&LV_1A8z=+E}p_~7l&1j<1jMaoIi zODKcQMcuBS0Y#j4ot+*FS$C11Kz(R^`0-b6@FwxUdv78Sf>va2sQ>R5N4X_N%zyno zqTA7^+3G*vhZU!#e4Ckb0+qh=M@uMlAP9~{5*yYO`y#o`_Ky}om^pzRIR@JZR7$zT zzzB^|=2^%&K8~0`IPA4+Weu(~{`;1_>6bGhk5TfQMlLQc25%zpHK^?_TbrPkv$vl$ z{L-U~Ps0MRB6BdSqyO1qwm!A5z3%@alfed4LdbHc56A9>KnQ zK>WxvkzRZBNaEf2i4bAlGIjSHYnvb^K|%r$H+9{kJ4q{2uoC3&-oIx_(?Voo$J@>D7tNHtG z>DJnr$ky>^X!`ABlfcI%c-$s5bVr;S`SdTEe(WS!Qgd7_K04^~Bq2144T0pk>?tXF z;iqBMkrm0DoS!)8`b`gg zJVC4qD?rn*Tcrk3HY=XAr3P9x!%FhEhL|K@BA6P4} zjmAie5;>M1e?J#MPkIb?q;lWfhVF`moB(OqeqMVRXGv|_j222p9$8uzc0=$KpAdcu z>D7lne-44@qIyii_^CbWA`(Zo;qLI7oT&eKNR(2#t%b3s@E3o#ZtX)ec;53WRP^)P zhknJkjPa3&`AzZn&F2?AFEM7Zy5jsV^Y#z1_`fXVe`vJ-uh+tkTJEr0Cx6(U+`LF7 zj;vg@NY4+NqOj4m@G0lcG()o}Kw%i`LXa%Gga3){ZHQIKepq}KxxumYQk0L0>B-Eu zKKzRJ-hkeqT~nYj3~4@$8oVw8?sV&*FeI{YfuyX>@J}rLlQwPh|EA591haD0d-v{r zbI%)mEO)x1^A}*%c`RX~fB|Z<0Oalc=XBp~`q5JEdYQ1685GunuU`JdiQ2_U-PVcS z*6wA+&>;jH05W3A`K4jQA)s z`)xC|UO0EK#HpmPn+*@LS-m{>a&w&7P2+NajW7-R17>}g0Ag~~DQgFrxbetCIQ4={h=>6-alBfieBivVmw8#e1TPd4|D53l2;gm+lAtdCVC zX>nYL>43#0P3VOGkN$NyG&~#(Eu%h9xIPd2d(G!J6i};Cm6gJ&X=yF?qL`?V7N#dp zo~fP@O4KR<_dr5?7|7k|Q% zgqPgS2Hzu#!X}GS8t^|CDi1i4ng|D0`um2Lw=@I%^<7O(o4qItRPeewI5P_3g#bqT zY(+$A&nI_3BkfUp_j$!r?fDG?+%%Jt<&-ijX27 z@*)vVh0BbrDO9*j(R*Y>I9Le$;w}F`hT2{!&YK0GlPPw89JQai;;1G)>`)DaVrv~X zof}rioLl>xTP%$T&i=Ho0D#xCraxPM+IrG>6UILpltRc-x!8(i5m5@5@#SdoXArWp zvjbi2+A#HYVgrCuq)HJARW!^c`!!C9McnT|5Qv^1zYY_%IFzL-L!*=gda?_zcEZmw zB;W#V?9<2qaT3tP2#dy%f)5A=Clq7Hn-2c*rM^a_sRM2rpKy{<8t*TSjoKb|{qBjB z-dN?=C;uZ+5Me{2utbRA76AOZaQr@fQki@><3F_GS-bee@rQez>&W%1XkalzI_H8R zmhab0Mcf;Cu|p*Mh$u?8^3t;Xf|q12@ws#7-i|rJ2gw9-|5H3YZ_hF`b+bF-?_Fl% z`?IeWRaIS_Ioqp&13NrDJza`~1zU=`5=+wSg?SCwCqW=L8(J)MQ-2P>hfe_?6DVn* z2hpxZzu9TyV3%1bW0+~tsROBiOLK38sr@k=_7p`VYgbv)wKiw}RDLh=t9 zLnAONq8rz!S+cF9yu1_Xy5I;y(`32WmxbgyJ%kJQo=;MRe%fsz&5(sM#u6aA_iPj= zPVJ}`f64DRZ{L#Mx^-*YTN)1=6IcnwJ9p@W13A)v;db}=f6$(6e)slGvXRb% z(|}sjvfxb>vugvikM<;b!V8%^fYamZnSN(-xp26|_0r3U%iP@Z&?;(ZYU%+Kl+cL< zRU=pG;VkgDDqQ4bYf^N?v5?WBe^mw8{@Q?-hnE*J87UDC9EteFMOy&WJe4n?E>#5n z2|$MxlK$RwFR|vr&ZRS0o#cw?z$_lYhmV)hdk%iH68)H7y2f**?tC~URtf82m`q1( zE~REyv$P0WA_sEY(4;H|c6OW)MWlGxkSmpap)rSGfsjd3Q_5itDHGT=r=0#WYDD?7 zYv;My<1i71rxbiwpSL?fMvrMN+^6d0t>t?HD{_c*#s z=0XZ6Ow}&^3Wot7qt~h;|J^${G8EL(-hvS%jKo!AL^Ts}kdNu4y-7DVHoiCdUWLR4 zlE9?%RRHTq{j`L}2Ksez&t+1t&B-VblVI^)yx=(SlT|9xLqE}ABZF*9ew?1GK(5Ol zb3Ii`SwbHtRNhaIp90_5lei?6pPDFoZ^1wDKL^9@Q)w&WDo)#jo2M5-w(o1!?fLYZveY%w1MP zB?&dJ^CxK(k8sf6|`Lzk<2>(;sQQ9{)B`UkvF4 zhF{%b=<6#5PXS*F1&Ot04ruN)ji|X4JBep=x-$avW+`^cNHhBPOCkm7kB{)k=$Gw| z_z5LfvsO{f3+@HL#extNbOYO?VTxtR0f;0}b23TmbF?|(mqNJA?$mbK0i0<4y)qKM zJ^bZM*xsI(P@6eKvnVaaEQLh&7jrhNByV=9PBm*5y{MiO>k2h~-&Cx{h24_a8?xp< z`9dnQV|s+te}9IY@a2Ycp785=G8yCM!k~voQ&tstoCX{zAigTg%VPk~3l#*tcfycRO%tDabqQXe`#tlq}csS}s!+5}&g@j-NG^#b_ z|L!D)B3Pw(8x%Gwr9PbN%kGC$NG@JgAFd1uColz@%}7 zkya{o4@-K^Lv}(_ce6}CXQOtj%rnK}5lhf|v8K+yHfwzH=Ns_T3p7Gj*njy@<4Q0G zv;rT30)vW2NLLHm{pFMKJBqE*P;4G)!V&+cK!5%E73jEYup;YT4P2_J`-&T#b8gQ@ z?j?21|2lNt{vrRax;jeh1?cHUd>lQfi&0^udTMw8=Ah(9e@uR>NX+SewYycDC5d#F zBucaLEsIo*^+Spwc8jFmXr`8kJx!}P>CpUoI@o0{I%Di=dPogBSqS9jsEGHAgJ5^H z=srz4r`R+@0$DRYo|swshA*2H1r=3H7W3Nb>JWsOt2j}1f5bJWpn(Bxp@stK-h94; z?xlqIoAf>;LCSm)E1UrJphc4QmVRpX#@y627PN_uN-d61Ktuas$HI3%5xq8VG7~aD zxC#Q(2VZa1q9ZP$P@ww)tHh7+hycKWf^@Qw0u_ZD@%4CMmh`U8FR)31$N|Vzk4Mca z3c5LVdm9@YMBj#`bFai8~I1zueWSW|uKAYn)(EX&Vpr8N)V9e$j3VKhRpe_F`Uus!D zag+sEIDp@)oZZ#rufqmXN=NQg^yAO8av~)vIGyJ$AmhegeDp$^<`IXC@rO#2H?4Jd zMQPEVl0x=FOi*+SK763-=;(lojAFtjhtmK=G7*sG@Na;~B0H>rKT?>4qI)q*lP$LE zP}@CIa%eZmR+Lsbie4hyUZO7DJ<3pDR;?3G*M%shcDLREUdaIC)Z}y2#>>fe#Lq@; zk~Aoj-NSp9p139E7?Gn+k%10U6Z+o%x3k0H) zRKpa1>po~l(A&T+64Ohv*#@x%Cz;)B_->7%DU0hFfMG53U6^P@q%Gon+cvsQIsM15 z5}QKNum#8$$m+Z{SkoJ&7q(W@#^4=QVvwm8@!qyTH4haiLQO@X5at`0wa1Fk^H+vY_dma|uz(5z8qjj8{sHGC z2PnLR$l;|+6vwibLk&Bs6zSm^LbTgf(THVV$FA^gG$Ue^r31|GDw*4Qo+6Y=f*sQP+Igcl_zV5TN&UHVl}S7+SErDjDCB`SJ}8DGa;PCYaE9BHGOfbH)hcLftw z%D3~$Dr6bfZqS$2B-u?Cd0^4Gl_VvCl-?d2^2Ly>bh$r{u8V)kxSJ(@eL9)`mMAL| z3W5omL1t=FfhLi7TtKKk041Nxfl<}xc0F(k5ue{s< zd%{GjiqFg85xsntv47x{n zEOyE3^@Z*tH52E{M`NItiqjE;3njm#1l&T`!&0zFTO+!y6$Gi3gtN#o(9k3GiK#jB z8fz7}OOO@JOLL25D9KW|vZF9Zy1AbZ+)LIxE%7JY`w}lO z7R=6gacGyL9r%=>2ku#VO$%d$3qR#nrK<14+sCK-$*5$e%>A9ELaHDD`i`3A( zW1nE(g`S=s!F!*dnc-h|kbebW3FQj%9+&V>;jCCI6(fXEudA!;+zXzLvVHfbYEV{+ zm!zVw5EB5k@qLaI^#i|;IRgT~WPe0LV`sL*d-Y{;C5xywC74d|1Hik&tx=Ehqq3L3 zH>(1UCW5ahcnxx1^FwUu{9WfDIxX#{UJ_F1TcLA?6-`YV+wdZ%q$~s)-?`=zoOAe7 zyI6#mP6pI(ASQBia}{bUp}`$ww@BjCY#YDsK8Je3n}VK z)FN5*)VzVUIY~FajgOBr$l;-a z5WmG(r42yz#_7ky_U(iMAA;cR>>A&DENLH{p50v&Z4<=8fy^_aIWH_>td-ci%tsl6 zce}>q4diaF%a_4TaZZ{cfz($~mGDDylz|AJ2 z-lJW2jR^%6yk_DJmt}0{99XQNCqbT_msb(#j5RcL&CL_OeKXLzp=M~93r5=`9WyJzI^l>G?3H1hPvi`ou(eIU3 z?zfMA{ly0|dv`Y{>m)jOX>0I%zNhT(j^v$*IyQitkB-rA8>4X8KH=DgI%0(woGhSc z|L*216^4A2gBSQ`I3XYm5thMpGga0UaC$VyGxN=%8sR#s(#-=;cah)M9;ODQ@>LLx zv;>ko3g!cI*w_*$B67q4#~|R((vlf05tdbB&|2n?tSBu~EYKgG28fD@K}%c!y%$15 z+t|8)qKFb9$06~QY1ZwgSrAPkRcys?RACQ=Ef9a9CYr1``c;9fE=cVf3x*m${j)8$ z!Y+QkI=Xml0b{?y$MWt0-J3#I&_EIpmIFy@qA$N`8N6b6jz`6V*+R{oT$cz5q`5{6aNw_rZ#WOc3V@w+gp|K) zrzMthLLt2sy;n_9Dk=EGK4sHH9rr1xch^UTLp!GgPug;V{>IE z!&eRrX2m4Fui6R`L&;*nlNJL0VC~}2Dd)#%c`nwn%;h}@+@cK zIscAz<_Ha>Hz4bCz|h-hB4>Eu13eRPnc%$io#Zgga(ig%HD+@#7CHD<3)4u02@RF+I*r+E*mQKu5BviZ zYY>SS5l39^6&jp2!PqAV4<}SAFji%!Q?ASnXXV?sZ?aohZV+K}XUAJqO!e}lhyiaQttv;@DzMR_}B;lgiIf8i3To2#kN#4`4APOX zI&Dk8m?2No5yR=`);Ll7fSHfSUtB3iRtJ=RrgJVs$nq5eZO&ryx+pHc-1mlqENUe8 z-ASeJrG6^X%V2l=b0nz~$7Y0ImLLHJD^h1xEwZ3e&N!7NgC?y_H}9(m@r`ZiC@ayM zccI6HsDVv`r^94QGf#e-(QOUT?`0QlN-xtrnL6y`kH7(u?f|DEdpLg)sYzR}z)^z*ry>4kk(Tdez|O?ol0f z$+YeDe(+|(Zby&0pEf=iefq)FD><3zBbXv{*1!%O&c(>#@juAA~V{l+k;qEEYMP z{t~^SZN$$5b|*TgKEYztJVbhHvT*ba25>vJsApq+?QQ8q{!Ss`bkm8by0iZt5#LIgw4a*Xiv`3GMoh8*V; zlS9$n!R!ssp{M1#$L2<;D~bEXM$9wzCtnOoNy4@)pm^jSvjyZaP6L*tpf+?6APxnp z-LyT36wnHQ=xo2jj!ryci}89VgF;KP3cUt6*6?uaQ&$ozXfo%3i1d^^-!zi|Sq?BO z7zzhsO%#!JAP6p~*dC%{)tU(aW%(4}7=6fC}2W!vBSFL?kFew7BG(CKgHIjn3fVuk@+ND9|nk$50Z#U2=Uw` z)CYifHuDh$>f`B#%UqHw1I7^hWVu;m{opY*@nhfWX%J@;o?JrQ3Rnn?IL~JKvKOZs z&cAvh_6vZ~h&Y2Nsa4mrv^bKmC}KLoyb=BE%NMqf!1-YUT)m=%F+&-noLZQ4G1A?{ z+AU6_Z+`nhPYfngj%MXeRsQQqZKEsVBP;Jn!_=fxus+|Dk?>Xba!D$Urn_xWdP_Xk zI=IV841@^+%eXM%x=E5Ccp+N~;{jK1^bw>!X$C6vzWePj`_SD35kJoKFvXNZjm3~7 zMK4vkr;7Ena1Tog)}lJwGp`4d^zcyc?@vU4@6~cBUmi*=vggoVR$afbXatQqcsUD| z$WhQ!0;#Vnll*LNDk zN;eQetT#hoORNals>Ov2^H0iDcfQQk7J$z%MY4qVJYuE-Ukdr{_f9Q;&bIzAj8c1w z);s=sEO){TKxiAW=Dr?fJhr1={1OH=t6QFblp=}@*1k52ju;n+WW?!sfmH>(_fgF| zK#@Ale541;J2lk*Xr)-(dz)!|V&WhDAiTD4WCfU%4q4EBtZ)=~s#6pPx|P{+V{hhh zC#ZuSf{sxl8lz7G2^98R6UcD8G~VO}^??k`csw6AukOvuV{u9$4EW;u1a`n_ie-lj zrfPmDyc^YFrJ$R9N1v^v`}EmN8~Uwl<4ch;6dp!&7$=WVYE_dOc_Ezd!n}o{N2@w) zWEZSB(=Ng67_bM>qq33V!;k@9ivw7p5DW->Y~e5$Qln5=8qa~0)H5~Z+e`vh3aEY% zN(%uh-M@byT8vqf-u*JVqXEHUVL~eYFxYjKq89MGBYfIU&Gr4pZtGT1j#1ZkFv4OD zN;_)Z<^;XgjXK`T?0|uA7G_lB7D>@*yoQKWOR%4Qa&6J8LC9_(=k>>@k>1sQhwdG* zZyi?G)^-41%+pap5l`nc{#<$r#OQ~;amUU{ImAWlv$YRXLfB0Q9Rlq?VJ|G^KE=&G z+;w`jDz;fWM|{D~O}Jn`4&@3Q)!mKpYR(6LP}|7VLtzZR zQOJ}SK)dDxM+0<(0(f5`!-i9n5rjkT0-FOV@#6|G&eBPG;_dG4D!gOTQy!=&Bq{-I z8&o(w92F~4|86uIEaXD0%>KmzH}B=qMQeAei&!pxZ5%RGYh3kB9di*Ufnjwk8y_e-| z&fUkU%7Uw*M>iFWNsDgiJ_**P#9J{rJ`I50wsmcnAjx6ysSF78z$GCq3Gkkf@uAy5 zkUfZ}qF1lBfdT|#3e@L9r_@P@%GytY#XQI^Ld}F-gkw!!6^?nQ%J_Po?45aa`tyg( z>T&Rm4l46l7~!C4PI6oF4*Ow>Ne0Iw7TPA;-Th=u{*`KP3L>1HZ?|2z)01xA>>tRL zLX>Ku^arYCzcNZc=oOEk;bjsIj2ISM(~SqeM|6Cv`C-UpkgDlG8BXIrS`sp=5_r(Y zm_NFPcCYi9B5u4&hldO)Ar4p&fQTQ@J=@q%2s~j$My+<3MSu>%g>1?yA9Bu>?Ic;_ zH>4T}P|z~q3nV-@u*4P=7Ao|;h6b@?Jp|Gdh)6ISVDId#;^83z{hv|MUiQ*Zf;och#4<+VlA=YPtou(qy8`1>xA7hw{n;2P|k!emPb*4WQPGFXGGmmXvs@ z){Gf1KCboyhAU=sl2~J~xvFn!@ZV%pC6^)Xu?d^6XX#8^A4(RfnP20Pi|tv82zYTr zttYk6YvHrJ1d%y$J|}bpAi9uVe)(?5s)B1AJOLoKZy%q+28IKP{!bq;xO8#pGBpvw zRUr5yM%R?@-+yCoSpK)8)*@$myw12$kY@Q4A1E~FTy;;h2Y6Afxh2E)pkRdq#>1!L zE%18o#fkG^{|R`cPY!=k^nRf+0;(-; zwyhvGy?W&k98_d@s$Yc*_;p-`Tz%9RZ8WZlzk*Lxczf1js5TR`U$hXEx z{)%oLzxQ4qpa5WEq$C1kNZ~RKO$0bDfNqlg$I_=hz$g=gD;PHRq!{=ZxcpjDOsevmgFA2m7;$!b5*{5+e+b zs(e4crnIEYFZ0|(%Rfem#dztng-5`BJa-92ya&3;)TSwW`kfvQe9{rx{6K1FtP ze&$E*pu>H#@A`i)7;{YkeO-l*vUjZJF89r658fE?f>APc_XwQ8yq|{fFLE@mczR7R z9$gCt2(xngUpOsy?3l2^}|?DAo!aOuRX+tQ{c~GcAi0+dQkco z(F^U|XmB6h;%kD^d?BH8XG!i)UFThAXXj5a)iJ~A4|AC3|85s^jG=paG@M8H>Rkwd zQ+e+mH{zFqDb1M296W}OpbS8afx#3yHzr#uqHqO;-}ywm?wm=!kxCq7H1k^AWE%6v zf7DKr&ykP4#J)DnAEo!s44`QleP~Pm0rnlrqjrne35s1_V@k}Q6C(**#zZbls}SrTz+UBu5UhYc4?`HU0lfVDDzIh$*Z{(rRF?FL zhMA~|c$E0+7>QDJ0GT4V``W0t>5Uu79x{(!yNlCJ5wM{IAN{mOH81vOQ|y13RDqTc z+|#(AnYhh;iW-$W_<^PMRJu;ptr%<=FnF?l>z?VuGES2h&{*I5%mxYsL-pk=;GID< z8}RXb*^q?OuPn{b3G|oGWupam18}AQ&l`K`D!-jMpixsdCtx|I(wW&))J^?%I=+8+ zR8^~;Eq323IM>oA7+mgoXTLd7%`myP@cPe+UG4(|vlzo`hGjq6NaXx(XkzQ&Ky%ju z&83G>)dsYj9gc|gIZ5OBTj*RE{yYS46Edn=yO4hSsIiI2<5deLrN<}MjJ|GN34(qx zBcOvI4M3z508bA+4q|)u^=;@9l7t}~sNi~rhK~WwqwAA9h~2wO!g+s0-i-dpHEHU_ z+daU`!tT*7UQ;DaG0v5%2H0e)zf(-H)-A-VjyOAlSVihK$E!;x=zxr_KU*w^P6gc1GN&K^PQZd!4B?bu;-gLW z{_!ucKHuZCfFAgP)P+wl7CTWY2GtW8u?2M$ttxkZXjCO@YSO^+^p8p;V(4S!KLr|fpsAwb&dY+G$K!g*mFklP7 zmg`+$kID^!jB||cOI^v<2#k# zRc3Slu@kW*@Qn{w=yAW`OYXLM;&<|M%KA`UChAoJJuSc9xg5y=^Ro+{$;<*lpwA)nfx8A&05Zk=D{#p{bm^r7K!#CG98jl{ zlgZHYH*g0>gnA?ZtO;Sob-|5cKj+#*L2p0AtY`4@C zW>u*hyqg-}ZTqV<*wU;I`hx;)*%3_vB-8=S@J@4X1i<)9R~AN>CyYewG;aBmAZB-P zLCFqHS!R9+KF7Bht32RTIJ0v7J&=z;qb!8NV^M?h4yFP&+ZKovsNwCzS|~wb?+q!8|IBeW>m*|1fqnv{`6^tD2Fr-HbLY(|%<~+N>eSuA0qb8QLMfT64dyW(&E{7nB`8&WjzUOe4^Tj^Ff2P;gO_Rt#@o=K#sc+36S&+Z2x7HFC^JS(KCU-eIpj5@ zrG<+H04qW=*XWBRBYy0*Jj9H+!T=v2iwM;WaUo^juNvcHFtFYU4?Az7VyqAJxE`&l z%lty}H8Kq~&%`^rt4yBN9_q56z$E~n2wrU~BMR%~s)svvQ=$koi#kJhSMeyrc|2Bh zH0J6`t@W@fu{CFfve(1zPKBl5Fv>a-wjS`%qV-vr6Tns@k(dzEE@NUYt6G__KAQ=& zl1(-?ewuq-(Yj}$Fm=yx;poDTeV9k2^MzoBN)MANeSTU0n2_O5pk#?~ly8Ha27wOP zAKbwZ4{$c9MeP&2&arkHiPGK@?+1TPn0|zWG3c4#gcK_!zieor4=ERwUsR;Xe6;^= zssgc`f*|-KltlI#M@q}_R#QT0Sv>*jtz{bypK;~0+Zcq)WNy%Nfjxm3X7Mv+{p$-| zpf3gg%gTd1dk&#lD7;F(zP;dJcH4e-8$R^x>LP|1GZ)=h6oMYT)Y}JpokH z?|uh=;P$6WE|Eg^aGM1(dKJW9a5-1|E{ywwDHmi+tf4Cb52!K+1?_~vx=0n62ZvLU zi@X&XPX_>vj2>;J_!H5J;vv@U9k@e=cJD%#2iB9LOlSFDUXqG1h*YUd zLYalQnmfk2IZ0>!>q63eU%}}}U-0T_cPmX@&Bk zNgCD-&CSQ_+C^h0^JH2Cq6tbYg`V*m$MZB)FX?#>!EO)2D6AGBaRvKik=prR)Crvw zS%zQYk7SbvY3|sWsMw@es;P&t;d_7?1N^;kN+7NwM^N(fJZb#=m%K(|2h>40G!Xmn zR?wqy@$rR$rwOcrpf8XvgUm;<5bAD5Ib{xof)in>U?>n5$XQfnZlW;UY2mThhg>5u zUhUX1(;#h2&%1gb?BGypkxLUGx?#-nSLV2fI31LKoN1r6%P3v(Tqm*H-*7pmcGagh z-_%U68W;^OFx_&|`2bg50Em&ODG>7|dpW=7(fCy3`8M?5QTbNx-1}jFJ>9B^vlUu# zs%wUCMdCV_ay;T|2Vjz+{V`)eS3K-!yKPm=+AiW7k6yTP7nA z=q_2GuObA1na>J409P6*ul41T_c}PKpkcJg521$^y|EJ z4fWzPV5~hp$&--%7G!R6tAQiK$EW1xCIpVtc<2rg2GULkBz#9lUSz%y@xdUn{9ox> z5#T=yNgCmeZv<&%$sRE5j4!W5*-)ax#+BrOBTiV6B4uE))r z6a@?)xesLc^)H_xE`ks`8`ohsU2`y#gEbiPEHYIN2?XKG-oK{=pK5AzdU`rRu?fPV z*1lqVW!!FcbO{6;8WCF%u(5&)Q!fR%(vgYA(Bm7U-Ugidz%?9P9C?Y%HC7J~d1UbU zpdX;R<2hWxKnZS87=#YHTrD8Gi5vYG!7^?+v+PW)6zS?0FWTgGdOjC-(e7A7G^$|f*vl$w!o2q z3q@c=_uyO2$MA4MDgwhoIJGdQO&*wy(5m}q^P%2fCnx>-wr+thg5}bVz71R;GrI)y zAcV*OPe;2fNczoi1XK#V%(|@r!$SU(2V{-(xI1&5tVwDx_>aZn_W_V1{KqQ21*A;y zJfhnx#+O$EE0H zo(5}2pS@~GIGm=F0P^_Hc>-=|n8cLD)V-pP{@{Fw?rJ@t}`6~(S5 zaJBLp0}?5t*Pq{DIgVD+dt*SD(#^K1O5o+<AF*r)n6ewT|K(d2xNsO%8l! z0*$}P;DVN)&dOzHFkUqKSyN!+YrQB=c$?)1xWj_r@jTq6@^f!1@hG?V)(gt#h*J;* ztoc5QXMg0Tkhxb>b3DD&+q<2_h|3N5*Ul$b9K{JEBsRe5`1htE#*-hoR%38OM-U9` zK26eAIzkaIKOqebUoWGpfNVh>cr=o?9p~bwxPvBX%P9lqG)Jf;*AP3cEy?>9bb;_= zg&?G5Uv>Ee*DL(+Y5*@c-0pz!$AP6LKjoZb;{UfJF?2IL*-76jFOkk7;)GHV6ac=#s)~yI_6=clGMer z#4&ut7SuIMA-~|y_AX3;8BIqJt}xr8Jn%c2UZ3rKQZs9eRG5ih!Cb)!=cD(k62Ehm zQtf!G0j$c8T^~!~EX0rq;xw!~a%}|+&e%IRga8o^t$Ub9 zqLQ5P^4!%3t-!ZHzc7Du6s6UAB8smVL3E)!<)Rm26oPwW66*Y`e|dlnrS@kJug72_KSB`@KVGl;dzD2!)Y2F#flojHCVEKK zS-ZiAFIWwM5)c7=hfFWS9R2ex;z-M%L{Q}6h8Z%rQy|6a5GotoSR^34G=RO_cpEez z#(>|PKYcZ-x2G?mbB-oP)~o&duV0-C15}G>(VX}5h(vUe6L4X^hbKAXHXkK96;%=3 zMgt{;1=Rq$3Jm-}DMd!;?%%%*qiV=lhthd)Uqb|C_j81Cf{Fth3ARJ`g03vZIyF#M z(5)Cu-;$0wGQK4?GcR39;*D;<050T=sw5O^LtPiQ(&6ndFY03x&MZ?bI2thLch$cX z-sprz8{A>8;(YFoU_RyQ$BLi#7~Wf*1X~j>?38dRaE7gx92pwP4gC()n9DuqSgGiC z$N3G+yX(NaOp7ZQ>4EqF zwm$GIT(~jw`E#MGbvHjh84;LAfXpPgz%vCG_<$yiT;~8Fp^(w!je)hZ-i!_I9sUcc zmhl<9Wwi=B`?6qZf*9Oekp)2vDe>r_`qfvZ^%O=vmyY1hn+&`D{Bf!;-@aKvc1H#2 za(QZn^hIHRD;3J_2Srl|^#iV7SlbQomt`~yIJBv_uj4dTPXX8qFy`8WrZ1gWVT2y& z^bcTwg2!O7Zn}DEn|U)X!^{UCu2a~#_K;Noxv&KQt9H*vL?+S77CR4o-xZZO+O%8z z>SM2DDtvYwv~t8Rz?EovfnI5r14c;Wk2l}P^1$frl(XtTH%7syMy_uHTWgg2TSR$< zt6&Ze<`R&u0mc_DTB2MN~Sc)1il;)`WkZ_jNYXjqiH^j@;YQbQ{q8J?}V(eWg zwooayiU{89Pb!Rvp!dW}p3f{?191y+whO8*WP83QcVGY!<-1_r_`Cqw7@}G)JX`SG zd^xE*9npS;NB)aLwSsQZ8mH9QvL=5)>b?$pjJ^g)U+sL!sP@nYV4KP^o(1A<@LFvvZPk>=5po_K2ZSQYfM$!&k zfffqan}D;9C?x?&4tt5Z$&TN+0qXo~-eSr*H6x=49t>Q9kR2EU4w#|62!koC!j~`A z`>;6)Nv@5`z58cU3=#!6zp?3`Jc`HW=DENoAJNWGJ*12oFL_CQATn7Qm&{)6N1?ks z%D9XXRTvu=@ZvFrabL1X(elG_6-pyDwIX2!0wT^)(z>_v`R;YrH@sN7k24g9)UjF7 zgK&|H>3v{)F6ipCUQE0AxngJ+G9|%qWPB91Fj)vFGN88OCBL|D-FYz=Yqg24M<@8q z^D@Bv*~yzT^Nt`-QEXn8SX1~I@LTe7alW4qjQzlsXV~C6X8F@&A&6WEL$E|iPlz9^ zZ}ti(vc^uq&QL&6a48bS+yYz-1D6fP5?aOwg0cZrpP z<^lM?@J5g>qyDD)^p$eg{?1vFiQ?Gj3-h5fG9yWbl?QG}ZVC%r`+i-h0DoVj ztve;~lUn}3@5VCyM+zBqWr+ianjSL8HnPyI4Z6hF9-!IqY8F6w-(ysls0Uoe2|fublswa2Ka=M-s4a2-`J|8U^KsfNze>4xKB z{6CZD~!F?jFNt#A}yR^g05h8ugsIKOu=$o5Es2;x8@hvy{ zeT=5{CAKZj$Y%RY=m>)k%?b7H2*9bG^!SWewso)f+M$0SR01YcRa@Jfn+F;Fr5{hj z0E|iN1tP6hwkW(LBQ*}#tzXgpCv`P+Ez8+oq^fFW#H?Xl47dBW1IPq49;=RliNgDY zk$mR=zGy^$Dd7ow8SMb#o=`?7bH zPYtWXITa?h$J8O7t9eT(HTcee=O^B}=l#%G2nNvp4{qPupw(kFc`q*QB(P3`wCEcf zuY&{;Vo<0Mi2mQE5^ybs`r6MkK%sX~8;|cw>xr|Ns!uIPUqCcBphy}Xr4eM8!R$Up zN-+wh5}|t=?8!Ud(b19lbXNu2=q#0sC8JPhk9mX6=VvHbM0P@Zvjn2?qyX4ODH?y$ z^FJI(6#l{(JLe^jdqD!a`Ba}(k>1aE_(nM&KYnbD5F67E$Hi_qwKqXQH?uTRbPD_g z5vU3aKU=faJi7E28sth6FjSoSNJlQH&3h~^a@_J=I$bOl*F;Vq`XQB5r})SPgFoUF1WMK% zP?jliJ6o^&^%p}SG0+p{TH$om$=S^wCnWL&O0FMUX?g(U1QLM&e{?z!F}=Lb7L4pr z0{!mWH-w=TKrM^y)nQ63EbFVaTBCJXz8<~|y&F(TAKsY2_gS4qCStkH6mU>MnyPIa zE>2C>Yok|`_$s`IgEzQ*jee%yCh7GqvlTq_a&W38|Jz1WUH;$tR*k2Lt)$w9O2gy0 z{^jwcwFT#TV-EJ{`X2VEz#lgFEVgL%Wa9hWvqCa#*CP{B9hlnmvf|%ASNkyTCOhM- z9l-5lpq0t~M^}o~uww3^xq@bGnw(>9AAN6oc1QlZb+#9p9?nyg;5r5!X2NKsL9 z8=L?fUj$NGe>pV&?dI^lxEJ%iq4n$}5>Uh_7hJOFjrQcdv}X7B>2%+@e?JIzs>6pj z;*mpCE#b4|R*66XA_SMeyzlM(kXT9O=F;-@SGaIPo%KTUd3| z-vu~%Uq*2uo-f%lJgi@ymF>DZCnP*{XUocGO^C+l(0HB#>2ygQj8@w z!JC}<8$fWn$b-`2VKrD}r`bQ(REC-R;2@<$`Hk&NSar*kX!1y8AXCPU_CVD=y+M2j zf;I2)@`Ti}FjhGzcAwvnkf<{*JZC8`bbD6Il%L1o(5-`p7ULSDhuc;R6JIv=gcs7x z$35mV2oKzD)&N9rP(MvVeF2hnrYz2R1BHR%XMFZdGS7u0EIceas+6*r=8uby@HMcN ziqQIuch(^`7bOe#8u7L~eaZ^p6*Ucg7>PmLwQFmG?v?2>cD}in$!cP`2Y_JVp)(Zq z+%-`EpaHINm`M%syF*>}@C_ing8-Cl`<;L?7Oyu=Y+1bk<{iB!T*WUY<_Q9{EgL#A zLA_hv<_$<2d4PT@_5AFUa~}j>N-o|c0E};s!yaKI)*|bq9=wg@%z_k#Da2+#B>cig zGP9(_Fd`dpuFSFM%I=vV{JhVS>{zuB< zG<-H1j5G&P86fZmg!O+#9F$dP!HQvt@rKHg;GbF1?9SrhJhNMA=t>-T+K1I^gV|rx zvv0mJ=FV8ry=rZ!@uM_$7IFJKjfGr`znT)Zz>oMf`5QGb9=wBDM`Bb(ma=9QMSHV- zyUJ(9qWGOU99@#4*!M9g@ys;|To{&(yE^&RyF(_%wYYmqxHm^_CCgXeYV4inrmTrW zJ>jWNnEgV+W~)?Jah1kt=LB9AHKvae({JiIq+mQA%boltwoqzP#bc^q^)K7v>#L@; z9$;>Qwx9XoHZM6&pf$qpK^3Dr(C+tY@*}pjN2u9-(?6`38i60#4i7i2}BpP^#7wxF<{yK_NjC?i zlDBy)7x%lK)bl*rFk4=4{Tw9&a9gC)huq80aV}9WG#1PtSApK5UgC9~$gHo0_*Ove zAJ4HV87r+o{~9@(?x!#@7zv3O-WC#t~ees|bm`-!Lg&@l6uizTb0siuF_d6;X}@bW*R$c(||8*21MMVadIDKksN0ZVC9m zAQXQ9jU|CJh<*Uj4KEXif9+BJitOQFKbNZL*UD`m2fJ^G?TPuNB=spqnvd4>%t>7j zxu(Kh%JhG8OCIVA^EXRqipAMeZYvb55knX!5;@Rnsc!FuTc*HezaPb0tDmN%>aqCjZ9atXQR9TLG&rVdCX7An21;4TLaiJuw2peDcrAKad8E>Y$d zZ%G=wA7^&627bPN(hI{7v9#eK-+pR^hCaN%;vy{-YRI$CGj0_=xMX3CD*EUEbR>dZ zX7=Xt*M(&QuE0b_M6lLnmF?zPh8h~d!clkc-)Hu#K;)V)XAEO^a8IU)qL&!+B-jeiD0Q^bND{NhGXdsIY(X!N`iZzzhvLC%r&dL7`L! zmzLP$ZF?N_Z`^JD>IQ^&DSrjj|2|NI2p<+vPT3}y4nmBCS(2XYxY*_2GYvB&91>G4 zSmQd5i+xv6YB!$P74;e}a{F7JYn6Hi=Fj{7Na5@mD6tJ^WkVxzVP(E&;o{a}=Rsv8 zGZ0B!qJ@WP&GfVb)LSI5{}TS#<;qDCQ;FIJQAMK3K3uNmmnTa#`hTLc)BqNH-f#K% zpc&vU8aOn%)|NiwQwa!dvI#)*+%lpJRE3DsP}os|(aaI608wY4k6^O(eirlE#q?0@ z>ee^9qP?31?Dd=IxtrZ$AKuiI%Uo#`7knS(Z9eYPEH1o(lOgzpa%C3dJ}>`x9fmgo zr%IGGa-6#Dfhcb>>t4yCxKNboV*AxfXtmlrvw{VBN7P4CsP~s%Zb8aP(vN(O_eJL8 zn#&0v1bGb7zN)q4Q^&g8?+&=lZnrCaS93HkRa9FF>QjUDZdRs6vy!;5r7VSYE}=X$ z)-E+;>@8c?Q7oonL9UWOFf_inkbq%ByhLtJ*)n-HW+Y3BGgEu7VxqWjWXZ}*Vq z`4#pfi1AwIJbb?9;X^6MeXnj!0fW5?wIFP=S%rm#?R7~&uLED4#PK4)0&FkvpS{FH zP%#<&+ZC~sh~p5Jx^4Iwaz0BM6Vfq8Wb{&9emH=%kZjqO;S0xd_m8Gn=0)6v&Pm6{ z4neOQaiNE~!zutJZjk0}rvp9JFa^}+2pK_^ipqyq1wxCtJMHig4cYfTC)5HR?My5-1n{Cak#_%W4X7CD)>B-=DGSEh=+;L^j%>Umq8$dnV2yQ~D}~O$r6W z2%5_!izDS=M=pS=T$oUZT!Uf@Fo3k7{tX9U2X8>Z5VifydMOri}*`#8P zwDnEtKaIYA0-1xfFhb@;DJ-oA9J(1CA2i5R+&bOS_V4+Eqs=O_B-I!<afr!=drd*|F-T_g2LpoZR!m0>LTx1+Ek9#+6Bz+&D3>#z^6%G|m#>)zbSO_NKZk z*k~|wtaGkQQZ0(1sL_iro@{a0W0$bG+19ZnF1&5^xgE6oU1&I7S!&vb0IoLD-YNG* zbOhpYXoYLfWqQOljrzaOJ(W;|#Tk%fZM`y!3y7EzE*Ku@W_k5e(>BfJXS|qj!H=Th z&pdf%Na6U8dj$h3tV6f38#+Z&#RLQ9}!e4)@x0!H5o&;KZAH<3CG1Q zJw+nK0|v!W8dz4-TXAt0=jCq_a`W9rLVa&RQ+-b;@&>rErolq;;vKj&N(ARmuzsl{ zefPPsudgaG<|8Aa%$NwE@KHc}2RkoOY>+7jy&FEpBTu6=>kQi03ngys{4=ucCuO}o z9gWG6HlYP0`ZS>@QNJ^k8CV}x$+7WP72-#tyNGtsx5mo5DVx3jR#mhB@D|c2|7Hulj^v?bR+{s`_ zb8y-1R?~IC^ozYC8Y{Vu^h(3&?qI8lH~TrfI&kU0UD~(yb#` zBO)-^9X@=$Q84TB{;l}@aROd#zYEhQtUXZy-PlkNRS^Z-9H>6LMr`}eKEu+KAdsP> z=1=z5Zi-Hm0#czhLE-)>CA~fNU8B z@6114mmuC^Vt4^|!f0+MvdkEg8!xo(UcK>pV*d;VvegvlmYq-Lqz#n)42~ZU$8jNb z;Sw7B<$L}3exT|Zjz}>FB|eB`@l9{mAYesWuKoMzI&|OH>X{%uLgoQ7x2LXCh zRST9R+R(cA1n6BvTt``_!5%~|D*ULR1)qM+P4SZNcUR!9aJ4~b!Fs1%Vq$gB(xB@M zgPDZz0hl}KNk;(h4bsu@>H$F?r02d6SlyCzsKh}j=`aE>06Dc*YYb7-NS7FeQA=*n z7P?3ms_1fy(OESDLPS0nDG=&#e0)Y3dspM9_+RQyBpM`zm}3>;F7hGze{FlB%;`aK zl5h-MDLn5BIF6U_g{zh#4M%$`Kqz9?zaFK^>i)O8P*~=vrTB-qA2p~Lmz1(ipA35o zF+QXSn_r+VOU&OnPMZ+k>6tz0;5Y85+oL;qGx}jYQg?nq8VyjFaAF+e`zaDvd0w%L z(B6n|7Z}JpGiDz9tQVn=cGP^E$;t@R4)iGmH-y6iyj$Uqf^TO(Nt8^3re@vm#I7E} z$}^SopOx=`WB-))2g)aOj)Znv&WQpGcD{O1(9(NG?Ki?eUlN}y$CFDrf4Jft`vH(4 z#k$Ja2MLsz#a_bb+<)$}{K273E9s_)3I{)$?>u^^rwHlYU`nE7T)&(^cAf@v(eOFf zc>@pQk$|Zfh#@$SR>mfQeIa}*3Gmo|2TEAH6KKB)0Yu?l7ws#!@BByn1mWl`Qsd6- z*1qKZ%@6LiHXK(1v}sr@kPve?K|LA0-l!3KGaK6sM!U^~#50-+!^Qyn;kpfYyMTrv z0O^{{xf4_qdyrdl5)m}N5SgC-W1j4}sim)k@C+Jv*kkl1TH2xA4JYRZhPbsP^9M2Q zgLiSBn`8sGs87;ot`lvpn!O|kLjpN)*my&HL5EZJo$M*Jz%-`<=P^((xQ1{sIRDl! zWApJkoZ~d!Dx6#zNxdGuG`L&y{d0oJsV4jZF%+KQ{JR#%TtfMsRlVUwBPcBh2BQ7C zc5N*t+7P|eH|IKEB$_*^E4Dc8e!nikbraY+R0rr{q{GIZj5ox7&YLzGL%afWCYo?j$i5@pvbyO!ksA4dWk8msMRhnxOWRiE#?EV?FeBAY>kl(vm)4G&oc2*8xX37$oK`YQw9U_DY#UR8h+*}PvK}XC_F+f;O zuI+obZzNN>#4UIQ5A3j-umN^NN0RXYm3|UAV3&3X1xpdiMB)IDTbb)x-Oo&QeLr5P zu!RjiLBD;CzNotFfhS5hZf$upBQgLS_NV`C+lyR7gI8OJS)+{9=xkX1*W8o3hEq+( z6rxmX0fI-oMe`FqpOLFhUI$G4%+D+En^(a@LXhSR!ihn(=koQ`>pTa-@`s_1Bj$V* zK`0$bkuOH12=vet6cOOon7S>CjMuN_w~X1OJ{0sVI?L}jQ=fQ6>~Kky`NS;ncvf#@dX-10gjg@uy1LsLR&LX2BSs=G>~)4aNkUHWqjMbye}BNz`yF@T$L zq0lxn-j|+w6~sb}3rBE?fO`gvgR~Odf)S{u|99Q;hO2wTrRk>9oU-wQ7%8wtjYYa? zg_>e);htdf7mn8PeSCL!Eit0ELcGl?r8e{2sgL;!KL<4wUXogMOKvfcGZi`@@$xa= zN{9+%tnx-+ombY<3LS#tc;DH+r^Uwy4^BPYKJE&hOjZwt%kx-oKLqI#ShYbub)>Z% zZ2LJpA@>>sG=W>=g!EqCEvgQKPoCZ_QP=d6x17XO*(fIgdtR9-=yR>_Sf(s}FI4;& z#{&?&a^U?sZo8^AO8)|OOr?(GnEoT5FrBaoPH?#7w)gwGr7yZ@>k%MkDK&8Zy?qM@jECyF}iuAjl;aA z8Djj8vE2;H6#Ylo1G5e6LOkoFhtBX`2oI$5l2RI?mMOFujgad~U&>UbU&-C4^_nQd z7rk*Y5WzcQ*FctFX@T-eyMIL)1V~b2#&HfvSOc`)x^i3cfX> zP~_V%)_fUqG+r+4sdTY&gX1o*D}G-)$};X?F@At1AU;^#mITol$Z9$5%b1wfYm>|N zX_^uNy^59*of}FtFBRfDAcT4h9)eg7!G4i(bwiNu>2=5S=6YC@qCTIpy6}9>)@Kv* zqN&#qbzO`6XT39iph?L-jv)Vp@GVt-C=bYk5mug9o}E4j!X68|$fl8=$!e_8I{$>> z9H}!9970wfRTc$8?*-x)T)voXgbo~hC>rgF;_H8yMBhX^KSmJ>`h4>%8w$#0)Oa}k z?+8Da+lKpg{w~`T{GeO0HYChGLyPkA{W!K$z-XP5vzBOHEE3y;(bH50$7KW_je`2XY)S zRzSZoM6++9s3oya2G?z6)VIkDr{-o%ZZt(YGhR_u86KpQ9c#C&uFZzS!C3;RoKL=McDrZ%X-Dylcj=i-G$#yTav|w(M_Sacksc*DgK} zZ`N+2(r8mM70bSyX7>T}Wh?Y{kl6v5 z2T~jsyz$G}aLccEJz^#glv+#nlXADyH9u_!s(lE*ALReWNJQ0YJsV~= zH5Ao!g$#(Kv1rG{My8-&)bZ`Trn3GHZ8nmDQMvdfr9ptM^7m|u^}hOBKMQ&$ifx)= z?@j6*(~7E$LL2f4d&8JBrw;kLmPbZOM#;^tub#Pn-e%{;GIQjQD4t#+*-X37f2_Q> zkm7Uw_endy$2wzLs$`w3g>}yc~Yf)?JWs&j`Hc8Z0A3oIo zEF()%oWbpe4y^bp0%%%#uu!Gpu}WX*F&b3_H3RC5fmsVKL&Q*IVig!k6TOdcP0VE6 zXe+;oe$w=0r!jmK;VXC{=thfmVEOHsw?Z8nJNHp-O44I`&+#v>2U0*)Rxc2ixJYxt zjyMS?K8@iER%JA;i(NkSVHGq5Bq80@$VG%L6q#HycfaY=(q;z%2ak5`<=LMgR@))u9q(uRu$O6Jd#PUJ zV{@5Rk5c>G-Bw2aG&N|RYbi7D7Ha;GHIc(oB`kL<@+b@QNQvR1S&Wo8nwYUTVIT zpHD2Mkz^>Gb^L9N=l5X~-oCT%{K-N|rJndVz!wR|1OqfR1-#i_FfQmZ-k4hREkSs)c-`A$5mm~}iVl5UhT`nC!*AI;$7jDg!aq+RKR14?lYcP;n z+jXA061aFONc9goI19Rt^bYHjg7g9C}1cG>s&+S+p@@;pPZ_`Q~hbmK;uG0<|Q-dUK zn$u9INjGDPz7(fxd#c1C8-ZRb7LZmmcn=Hm#zfkE#VrL$M48p7;)abet4w~QfB>yy zNp{2%PkWd~YVk~J zfcsjw`fb>dR=d0Kn+NX|J>Tftmyb@Kh~seLm+ZLEITPbAdZ29Vm(6CK>Ve^!ExjU% z|8{gB&m<@$;XijAnq4x=_FW-q@UZ3kBvP;L{NEuje7PK4AhGm zi8_@j__HLqPU)rQSDYBC3ne!b*sAV{b7MCfOTlZ>g99}Xzti<~*2U}>#3c+^x93=9 zS)_P6GSO%=C)e_=*;y9}osUgJ$c}vmVG)UC88lqu51MH(ROnWtnIDd(%-_5L1f3GJ zjY5IVP5w;d0<`*(j%V%3vSxCQ-aR_KMf~ZfRWk>AOKQlzDAI<4{Un%i5fXw3eFZ#| zY=IJ0*tv+Mqmg6*G})pHB|%~3tTtKHEVN>xOD($i5SCME_Wytb7{yevq89K^;4-p8 zUVL>!HVbdkA?%7$$(CWfwX@=wjlq>VG1E^Ov1(A^q#iBn(=C|@3V5n@f|qIshRRv+ z0%CnO9u*d?beidAu_0ge|D`2gISiJq@??BKcRPpUcL zC0!u_9V3!*XTq2G?ag9#XnLFnGHlwIIkCY_W1Df_Tc^GA9Ax zStHL}{#p;NM7i(JR+Et9a*Kw~GoQHr{?hPsD;nTA=%1?1f1=D>9KZ#v_nD|e_}ZHf z=@w?=dwT(h3WnMzv10kJTb+h^vtkc2a@!o#VOcl4j>DxXIvTc%pdVp%p#X2~lBICo zwh64e-ZBzga#^Fzn0GMfE#fV*?!5*LNs^QOkbVl~pF*gNk#1lVs{IR`wQ}+0d#GCxImfi5f>3T>vW!+r5^fmR) z!{+YgEZ?r5{AMxlv~=YeA2=M?P?zUo)Eji;Zk+-Bv&4seAiHjU?Zn~-EJhjq5lVLt zkoLQ?kByE!lkEb;mH`3H2S(ZQc65G-<^$;@Fx3ST!ZMTw=L|MxbwoJk#i~Y9EqTzz*8VGB1?b@}< zrhw)kWYPCKDc)C2gJpOs27pbmxlaVzBp4&)3w#c|`7|@r&5Jzu*%#2t_=PekP<;Xm z$(sx1Bg|{3a6JhBd%Ra_9AjXA_Fs_tKyLN&VKXPs!K`UU|i zrZJpMh#4VumwpSe)Y#SXx=2;I?%LBr`)*7Vu(F2@ZN-I{*pA zXJh|c^Z{Wa#$pmsUTOw}N>$-TYL}{~9+<(CA4`xQ-=xBU(!pP!1(3#5KVz6K~1lr1>qH>-F$iaWi8DhVkk< zYjy^tDwVtl)vriq3=KpwI`(ww<}pjDdMum}oQ`{+QQfte(WxoBR`g+fkobnW#P%rm z*7TO60!4WW3?*Y4JxNmxj5)&L+LMj3YH~7sI!-!m_p%f^*g7?ZBy1pS7l?T))iJ;K5_XmRUND77E5MtdtCZlv8M; zlx%y25(rz-2QGvzuBbsejLfRav{`2iyM}Y@~O=4Ju5z6^H zMI+#4L10whLH==oBc(c5+JsgP*?Nzkb4eI%iWGWp+2)qzBA2`^rsT<(Z1bZ2?0oz* zv+1R{H5{f#cnx5L4RaJpWR1DW*M3ttaje5P|M23wH*LbE5m_ZlG9l@ymrJBY4peqe z?KibaXiozZ+@sE7OBEtni{1)%7=)QXssvTQhk9BF)~A}o=mYftnpg*RzQpn z8%7dkxCc?VV@h?wN%ub?HUpCvtpDZ^#nxF(Vnxcbi~Q}AE7SxM+J)SbVr+@#r| zq^V-;aY%!3ly*iGz1RE*{5#$lPKh% zNZ3FdY<7ONd+`u1D{|*pRCo+t9$3CLREiX43I!7NuUl??%Ty$ECg-J3R4fnHhM@HT zH_3qnhU}rL9WPRwzZoRPl84?1bO#LO8;Y+=rVIDUGlnV^^@`owAt?bdGI@IGTkiN;Vh zfk225aM*C@QJOJ#9B@goG4<=gZj0bOAH1AZ< z?9Ti#y|5g#TU}Rd{HoYeObB11WOGieOU>7djQ8>_ME}Nfofx6p!?;$9F789_gj!LD zr$I%X&5Z7?%vkoz-RnxngwprRrkAYO8fePQ^KfiZK8hffsyyW7P& zCZB^e35bO<>?VCrFNBR$CEd7;ib15@WH&|K4jkh^di+hM5A8(WXEX3Btjrk^Nov;4 znt`HCMU+ou<#46vkGg?p#M7)V9RG%FUm>y$r9@$=i&K5~dS5^b9D$Gi<;$1ZVJ3^u z5H|N6&T0~&MDd5@pG>j{;YUhSF>iF0(BL}%o1dsC#Ey%3mX!kb)EUUZWVaJCAwx+hu?fxVFKMLZWW{Mc%Ao&{+wayAXLRA&6a1rf(Ys)U2^Ej)`Y- zj}-U)9S1IU^9&rB5=iW85*LOy8h%=K<7b;C)ONb*r*zX##w}^AqNXt}aS#m7Xc6$? zmoqrcgVj`SjYC_?JRoI3(ACXSeUIOblV3zf<7#Xc623h(v^QzWVxVzwIpKg^!Baxe z8&wpp_w*a5cr$wB7rEVX$W>>Iau8H4AJwdk{g5-Ewh;UK08RY(pN^lni<A4(rz->afUm3&f!`W4TrQWXI$2PPtN6foYA&4ZH_+Ki+zuG3`>uF8?StJks2h zI@H9?Nz*M>XKZ+-u|XpsTCCB4g*m~Yb8muu27iaH$BlwD(%amntHeHaoK41x$ESZB z7%5ej>3dh-?o;4+BAa(e+%utt{*AIR5KN56+?zHrEHZiAzx5_sW`!Wt@HXS=fOzJA z84HUDi+B~o(-oJ- z_y%j61uUByi}DObydfGTH^rXh!iYRlDgqZ&c{3ZM$!2M4V3#N{qLK`!QxJ24as!7(NRngh9`SDt%0RhtAIJonA$ivl{?55;jd@GxhZ< zpU}S1`tYr*N%NoCxb9nF5nWdg0^P6@RU@Rpr->*tknQle{ljD=q$rs98iT5D@{v93e4u9?SlO6|f zae|@B@fP#v&6sI0zoZAXd+qoWPN6Y^qL*Nkji81CC4tIqgc(=C%xo5K4;%VSYr zCIvuvEoW(_`0CpuE~cqsbB*+pi-QSokJ_8YIILBAx=yn%vr|^)*R83IqFPzOhG*h_ z?ra~=6QAVUn&K^9VByjQGt&jDd^P#S?af0sf4>$|lr!&{XTh-M$!xphiM_dXB99WDr55t_5O#w9$43J2+}zVmKu}{5o?=3q=){t7(ou;LFKU6ynn;d zejYzoD)!A^zRDq&jhN@LCu!nnjjOy#6PFjoA~L>ZR}DMzE^xW5e(kOp9X*dEWN^FL z#>=N}Zc#&$Yj*bMN6tb*aaw(_SN?*kP2@%uv~aNViUL9t{AeYS$BE!!O8G3m;_vS- z?lCCBu0i739$lfvW2c5;nnZ0K;S-{HrJ&iX1#G64LuK2M?bp@U>vjuxc`h%Z7q9BPL}|H1Cp06t_^LIcGJW z_+_3a2UoF$o{NtY7}bq=r@AUEHG!XNtIQV7PjPAXv*ojNA#P_~oaN>Dd(S>j9gS|= zUsh<7mufDnDZcmpu{0U=26cM5GP-VLkD~xF>MwrGI2HYYTOy)Rgkygi17oOzRd-?P za~4cMAI2*syxs|pVn5ZENww^b)P@^6PqVj4el^2KGx+ut)kG_RqfdZ|zZtxf{^*^p z6(@KSu9=2P3&Aetcwb^pU-^2v0@9}uy6-<1y@`vJJgbhkfVHFW7%F>e&lSd&dgtWl z3)?5zoL?^Vu%xo+`83Ro}v*^c~bGro?t#c zL!bVEvT*HWB$iV`pU#+qiU&<8$V|*ZYKz=7M*JTEsq&mbnrDokvhB&?2U+P_CK;{F z0fEA$m$k*$@EsINe67OEP`a~SSGdA=STE!2$uL#=4N0JXkxr#7jJ5Q*NH%D&lpYLV zcUBFFnd~JIY%I`%kskHGf{%&5h7`~I; zsa$U9W@)<_*@!kHHU;exRqE%Wqg5AHCB$^f3t736C&xn-nQFuosMly}Hm6q0CPV%8 z7nFk7hU0vzspnv|#+X8et7=1Hi-3^TT~%HlyH|6|D`2X4H7$K2T9c^yrTD+l?Kxkw z^3%Y+szptY;V^%nxK*_|Pp#PT$8=CdZT`#W)#a-opZY3YvBvnyQegRXzx>&sZukEE zo?}!HF|)KZ(YndYO}{H%4QnW#je6TT)MRbE&gS0w65ukO7F5bYhd)}gei`PjnO5Ln zcg&Ogmw^Vsfz8hIuw$8;_BKs#dNIfN?`bs0Vv{Y9L`}gshjZtG;Os&)MILSu!mFH! z`4Q`I?V!t_Xkq2S{$cA5cp>U^FmGp^XDrZ+h*2rCJ$RLxhVdXK>rHDlonwL|+(nYj z%QZe2oMz=PMw_dAqfgwYDFD|W(@2aP9Y7h#6|q(~WUE`m95R`M&;kRzrKpc;^`9?g zRV#`KQC>;x5#kB`sWZyI{krI51Qxq&v)Hpeh>V#5axMIm#w_-l)O^87sh4x<{o6+Z zRz(gs>7Oo;OW~zC#BUe#OQ`*j)`Da|ALwxT@NnGC zBHcjii3XR7f^x}>Tj<~WcH;RegRnzHGy;8C>v$JJWx2@jhm9cS;w9Ez=v!L)ep~0Y z>YiEY2FOsx_XWye$1t9hEor!I_h*T3@w#Jico*H=9fifZxDrDENbEdPqOmJ8owdp0^3s>xH_+mn_H}GqM z`CE+u4e{cu)N4)sS8?Bn(FvvA>wfy??-Sg#EVCCHPtE{j8~mARI)mk`n_g?)=4;rR za0?h6#M7_?U8vUNMx-<*`K&-)-|x}OqKV@MBH3cU_5Ey&6U{mE>9ukdx_*uu%9Ybo z>V&*qln&U+HCZ#K*^f(c@b&LHVky%8NWI6x$HzftQfIO?t|h#2L@1q$@gWM7@O6Hw zaC5UG<9BWu=%-1k_v}kL6c(%Oo|Ioc&2J948Q%jUS@6kWimXKdd`5=9)Na-_B!T1S z^uVsEi`*9@4Xh+l`!Gt2=meI0n0yLFBeQrhA^P!Dj{Qy}AtSgR-#t0c<$pHj>e643 zxMAiw*vu#LHl~4dFFIaQFG&-J9pZmj^aRPuGh(MDn{D7`LmMrgGDSbHavfwCOy6~X zZ*5Vt_}JI4as=2e_oinEE}{Sc!j}x`!Io?mF%y5-IYN>|7f(i<^oj!hMu2kogGeH= zX;IwWl$Y^KOG{2yC%($tilg0m{qEf*bKS$aej=ixL%qC7l_a(B(ZO3ABWHbym+V(^ zAZ>F9FHfK1>hL zZQxa|sK7f)gZdS+QGm$DG^W5Rz6JZNzwRpq}WYEMUl82F`8Ixx5K61=45>Hx{*#J(-1x?U2&D8qY(vZ zNHl|p6%QF^DdcTEhmQ5>QHz;r_Z>!Afu_Y0vEZGl=z zj9nxT#Co4$MoUa7Uf!8yk`D(pBZ>7wS_I4$?;f8!-nIfcB{845bC2Hh znSDGvya^3f%lL6W>pj~gE>4->eD%f2g3K3=J%#dL9>aqMvrT2((sxe;0+ZGp;1Bt# zH+S2PG$&B}p$OCTeumO527fFS;sC?;jhSIN612_HI_s0R)Ix#}8xZ@L)0_;XIRt5+ zDxVN1s#zQ``?s>d&L||l%o^CvhM3>TzG%Q!_x%w2IV}KmZPUFc2eu8l2y_I9KmJQ3 zQ081luqy!5R1N-W{l{^T(@4?XY56tmy@iqFGl7V}EVjN|usA$WfYA>qJWxhR+HZ>J zv815tx6s*MXhdc|wJ4)pH`UZ^UN?VdzJKf>u-W$MyY`9*AEEm^R%4!h`< zS@hNmjGlss)Bbo<*5;9WO}PB^hT{9UWRI0u$XXrwq8+LHNprV+|7g6>!JeZmS=gx5 zxHj8RXFS~eeF2M^?S+Iuz2y5{XZJnK9;CAcM=>-#M5G;%onxI!007ccz}v0mfnSAg z5wb>*AIZvGd(~8++=nzhOi~|W4oGaBotq|dKeVEV4WtHs2UQ_BURX7c-c#}G8XmTI z;*_RLjqtTBv9c$A4E^)>6*Fffh(77v(+hm~98KPSa5*5FDTJ{JsYI^blZeq)WxXsu ze8K7qkh2%W&gE%UdWPA*usGcAzB%L^AlmrsoYRoh0KXydzF>T}JKn!JL#z~N?ZuB3 zS^9MQN*xk^WOgp8uMdoiSr zgHqdhuPugml&N$pHnv=aTMLI%L^4a0?#J>98VF^FXf?hv8+vKR5Zw;xS3x+=9y}P8vX7K zE{PVGXXW`0WN3OHrS;ykBiCF~t2Rq4(BP@O40C?_qg^hqnyj~1sr&H_xAHA)wLg(o z1|IDK*OIpaE^}NI28OFB@O=XqZOBXa6;;SIrp>A1iP1cPp=M}-tVQg<2;h+C&^!wO zSkUf-O$Ap;VtBNPc^Beb)PmI%5_UjA5Nz8$kM7!q0uuMBfDs*)s($t(r-r?~{oAXX zEv9e5cLtarAtxmN_@U*r)8Dx(OxJT}tMNoFh#M6DGO6*E2LrbXqYkzhQff;v#@%%= zf)J%CRsdAX3RxKh5i=L@-K_3U`1}$XC{WNr3xLd%ttFO!i~cU{3i{Pf#}1?HGryG{ zzrl)u6>cf9#?&P@;agp- z&So0M-DA=suKs<;h<@ZybDKEh8O?m7#M;J#pG#gVXVI5k&JPTv-clB!KY1s%-=w4^ zEW@XWF_cbW$B?@#H|W6U3>q0VnF(a%-jTs(ipJmAPRtvGfV zASurZEh>l;2;e7Xppam8WY!au4Bf4l&<_Z!}0duM~mZ+dw!Zdwvo5=yjV5y^rvj|Bkoe?Ih0wE2d%8VudD@j%jK8gVa>wzGZkp@IpFbZuVY6xan?Jbb zal$~tjk}j2kxh7rV~l4Kb~2g_jTO=+&YP;JTwSVwdXUJVutzUm`5yQuYzXy-pbeDo zn-ameru;{?pYDo`5A&H+dwaIof;m)JC~F@?H@qm|$0>ry z22r?Ci6&qsXO|Dn^Aq2B=f-F2PesXJvu(LS%F%cgKI_)B1IAUld0h~&&6}25>Fa0A za&2UN+I?b^$=YjlAb!i6ghCI_ucssk)w5lqB&YZ)u~i>tyyB@FyFMfN<@5r{8AXY) zm1r6diskMwUO&9dzh`|_!XZWVSbeY9pmVuhr*mdw_GvR(A2Gb3kbf*IS>sx7%cS=F zW}4l3T?Mt@1Zeo1HuavbN)By_j*dOLTI=R8U*x;3KNHH#ORR76&ufl1N_;;*b*im~ zzis&O{IV*e`|k)?7QpA21ABVzedzsi$*{+5Xnx1JUgtLAf5xz zb1P?#7v*z|UHWk!+mwp^{`$fag0m^&SOw1CR(_3_i^tRR;HmdgvrxVb)Nqm2W7u2_ z=7uc9ESCPsB6#lEvtI55?fE5nFDTocXNR?ZcPXxHK|EjDyeBN@BxjpAv54HmSE0ho zvIDue$J7q|8L|3P-`FLm^UsN<=R3QFd;vg8Yp@(7*z*TIk9~1XpGX0!UVL?)Ub}eX z>b2r)SncUotE`Qk1IvvoSad@B{Ak=h2_?2a$zx*!>VYEbJQeIvTcV_o1wsWTp zpVtn=nq){`Yw7%`VaQ`VFZ=0Gj&i}$;B{uL{fyFpR&`7T?w>kh(s8EYPg4qATNL}% z->HFV{GRLO3)F_LPsg3jl8-whaQYlR#bk4#$SY-fN1|gKhTo0+{yOPvcvN7Ag0{;c ztHX!SZ;5w(=G!D1j9C(*$$4Y0Z$(djYwbNMewpia_NC}agQG&r!VRL#Cp-5wy7Oz@ z5gO(9M6xOr==f%_{VzV}tv?kF+>Ed_BKd9ziDZD(2&qHK_r8Zk84Eg9_QfV-$0)kk zf(6}F=__D^Q{$G33Jd8;REnqb>gTG!%Jva(-UCtQ1w6lbfqV1Gay;KzR!D1wUR_&<2w| z@hCH^EvF9*EVe}(y9O)s{Km1ET9_rz-Kl!|3%&%#Kcm!y;p1NZ-o zH9xVBnTCqd23#K6VZ288gr)Gw0qLR zKjQL#XS#13YvMnt%jB$HpuS3FZRG0L(Yw9g#9EH z=^bq%G~!dPS}(PZ=UDc>TpYY~S}XoG*TTkxBb|0a=O4U7j6{K^_D5kMMjGbaw#A(7 z(c{vE4HC^|Z|*KiubVab7HG>@~u}^TyOW4UU|DdywJwJNmljN(%!R5w84h!}LdLsi`>Q)Y;}PkL0BnSVIaW`j z0wIx7JdqYvgG6E6s4dy==I$=?!N!lLVdLD9o$(2vU|1iYAGmeV$LB9BT?Q!AFH^O1 zW(#-q*dAm~Z(oPfbGj?{^m;LQ9IV8Px*ww+>#d&FYeje#*uiG68tl)rT5L9UM&{iR zHnP4^8|y9ONz?tDlW4gr!{_zsj9@wYqaVQadLwIjYN7l|zXx0OLe=!hk#AavXI6X$ zg5Zrx1lqDwAVZ--*iPc8kkxre!-Dwt4QuJl&+J|=h8n`3Xd(iij!4P1^dIU0 zx9PPQEBXrqLbTR@S5LFqLc^7G>WIF+KO_*gT=7YVI=|F=0^E%u@B5ZriEfju6?P-RA9Z zeHlGx9^;WA?IBEV2!kT>2?)?(*vYe#iE4;5_8~Ovi;eqFz^XD{we$GnPuQbS2SsS! z>@kw*hH`V)78EFEpsdq6zJKQ$F2V1E!vV_=ksMt7<`ctNrZ52wXzt+@_!#6&?jM8r z?+hn9yP_{U##79$UT@2RZ*`xI+pkK7Bak*w)k64k`BfUi4vtN%TSY}0C98zzbEozu z9U8xK7=ngKPWktv<%^BgxTw%?lk=gFUerFx2*em-k7lQLi9^|n%c5~jHXLzl>FB5d z-;tdSg=JroQ`7yhzU3L=Jw86^JxkQBF4wZG&ftCNv1y=^|E$pC&ENJRNdKe&BaJ(~ z07wy;{IJ`I+8{=79JJaeH7k=3&wK_Sg@um?)9X4A%Cnb&kI14C{vkKp$VW68e~aj; zQAq*z9T@eXW0mIm|Dh7LVOI2vYfoW~r5uq}z9GeAtMci5)V?y zip(f8WmRN`L`#ufRuQuO&%5vMe;n`8(eb|C==t2A`?{|4I!7<^&_2fb^CXZDeMv%V0&OGG^<&sX$4t0~0qi^M@4(+sg=Jf5* zSJ#?@b2t-NlGQ1oNx~i z14=|4{mJN^;j2jx2!_p|*#Htbn=&(>gD8=0TEar4#Y@oboBg@(Q~RC=a9f$Y=d9+S|f z37VOifocs>H~i@EPbTd&d|V(2uwiyEO8A?auyag1RP6o{`_`+57Gpi?qvkl8Ra7U-uD|!cictjapW`pCnWmb$c51L_ zUeTeQkS*#f|9EoErTLTEHsL$0bK(LT)`6fy#8@BZ$wCR{km#7&kKSw^B#OJX@z)+x zlyxF(p>Sdr)Q;C@TQ~Ln0?}6-O}gq6rkb@xodyeL186U(j9}PJar((`>YL*(gZh)K z+i{#b{pKA_FMcCD1!Z(4brFJ5!j=7Q-9;Tv#}^0h&1=2sJ23#Amw|tm%j@-oOzZV9 zy<$z|C~g;r&QcSD-F;q0@@;kPH_GQm{>~GJPh#cTtd|upLhbA*@>)VuNu2H1hujKK zqHp(!5IEYp$*A#kdzSvHOD`@Px=Ocr1jJ_s>#c{0>Ub~DGDp|khhnDO*N2F{R6Ufd zu70gm)L5suYfqKCaH9)Sm@_Jj;A{Yp_^cb#{ME5BC!7)4$rcq)^yh6?o3}YVqlZ)M zuXnIx2l0GE`di3V&Hy4HrnSWJz|=H*wlqIK->72%<1R7(NdE}Z4JaVLj4b_-AC9LC zoC5Uzditr3%K_`wkTxtu@iYtyRIN8f8Bv~i?mTvmVAfJxOmu1=@ZNa5YY^N|*`OhW z^Oc%RyRT2Nuwr7RZl-Bb$~7pi($fK%;zjCt{NWmBBhB>6DEV=pE^@|*&hMn|q#1F^ zJodjvNd!W+RZNU8-Cj!|;>XaC-jdH6nuNEWT4vO7RW?!k)n+* z^#JSNOUNy%N_}gi0%KH=WHEpO=FYpQ85L9hDuMFm?2SHofeiI+r;$CvY2R2u6Bea9 z)vY_lG`6qe2siu0y>KrK(!Dn{k?+jY?H-^HeBRzQNdgy z*F+&<^s!{$aIw!as*fJ!1F;DQ=?bRKXRmyG-7Ow}X-xX4LjNyQ$Kkpqp9Y3XR9hDU z*0rVUng~Dde1ba?ESM>8Z0DcBDZl0G*IUJ%-da;>#iPSPT1%m-eB^-TI|$=VNuEof z4Vy-7^v=2@N?h&UN_OctY!esffII*~g@!{*gmQ-^NDsuNdLQ+#2H{7+wM6%SOR)Je zr$Y}6hgZlA?VX*2iJ8q^+MtgmzO$5D-)hiHb35l@q3HSHU}^qKV5lJqOXGKDeyA&C zcJ``R%6ZDInoO^?Qfm|Q>0amA6D0TqLOGcI$9wo+_|5^(91W%B9*#I80PA5eP~T_@ zy`Hw-=F@}e8O?g+3GIYlHMR%Y%DWsNe665q^vS23*aa`k?Y{)eP8=6~C|K1$A!|XL49h}I zmW%yleEhL?@C|*i7fjph%>8-^!(Wx{_4{X36j)dCEI$_OO{ya;+{O5<5@f)JWwheynhpe^!I0 z!!)W@$n$q|&>rcFbJA}QF-N=d>9zgdFyjC&omc0_%Ai7t({(F>wb$vyu|_y zHc$YM^=UPv3yBI>?KtoM8!-Q>F1Yx%4+FdI-<<+>Z%P|YtYSfe7@^XKDuw{!V*%Lx zT4C|M!h_>7zu0|7&hV%}(*-xPa_9mE&2l8S%|kArvhe$cLgReNd8@wHT4H69`)0Z> z(=*uq54zL1itsb(cqjHPwMf_$cN}Q7on?&sqok~rS=Z-$rHYgH zvDbvVNxQCdZ;KIQWUv^u?TPc8N8kLy$y~NT5A zi5lEon&Az%{XS7etYEMWPW#Bk&n<$X8SxKIpPP{Q-uC{xsdn}^CrR-5Qp^YWxJj@X z5YDMNc4ewA(@WV>-_KrAjC>>%jP)eC-cgjMC-mE$EAz24%ETF4eKL6ZP70rIUa zX#@(%#MO9=`NQ7Rm6g@kTm?^CYVdMxIHy6+vYT?m%0t1%GCYy@GaeKkSLBJq7@Ju_ z*!!3r`mP@|&{J$)9|y-tpiNc!=&|8EiQqE?j=uQ-LTA($aC%{avuhZh1^R6Lh?J-w z>3QBbi5ba6c*lKz)fLx#!x@=f-mFkpzA@}3O4-Zzy0yeNGctW`&%rgFo^`&-&1UuL z4s}D<@*JsK(TEl1Y7}TRr083YtJ4nC(tGY%6)Kywhnl3lfEl+&zDvE z?lU`;^lw2e9H5vj`c>4&)!#rI1c{6(Gc1tVMiWX{DaPYA<)1h_RruDFu`s@JOe-j3 zxfH8sutW4l2adD;_!u=`iYXr)ZW*Gn$!?C`ZL%V|A*$G7Zg1V_SC~R#aY?$o{h!U? zj#~{JzwMl%fmy!I(axu60yYtt09z`U)K+8Aab1{kU4R3eKBHJJzl@B`yneR^p=zt+ zX>t3_oSLeTVxOs;gtq+^=DdWd*}HpAJ^?)wes8_C;XBKm{s8BfCT4^06P60PAUEW= zbuMhIufm98zn!+bfMenjoE#CqzU$YE#`ad*WzEQ)N#gwOAsu+>-h_b@{8>`#$dls3nv>K+sEx1vgUW^{}V6Of12|{hQ z`}{$tr~+jm82}u92D>zP_B^p|=7#IvL)dzegcJDBVl_`rlv-{672Xd1r?N1jhYFAj zbC4?LB(O`K-~`Hx95>m$g#auEV~raKG)%JP^2&}`|h)|?~={yvP?(oKbDqMfNOq0^5F#i z#yd$^<#3|5E2&((D0w+vIGeDA(TPKP-hMHmW$^FRN<%MmILs}fQuLWQ4Yg%}%5?4H z@LQ^zneS9Pd1L0(;!D1b(Hr&2oE(9O5OCr19UX_dJbxtJ_>G8O=gN60b_m8m^c^Sz z{FkuVYvqotx27P~NFipMc$$Cc*lYRS=hcoU%*?yOJn0j&y(r=LE~-vpyv1OA{Ym}` zF6U45XEV1B1u+Td!LNcZ-?Lk>fkWh5xK!_PDW<@EFQ_c*N4BlmEu53`;I?n_33UZO zC#}$gq3xj|lHRRzf^6!P>6v1RA`%yf77HePw{O$>5}OC#r&oNEAJiSVGG5$SF66vc zT0T@a_tk0fijTwBkz_m{=>B?1tDSQY6guER^MREAEZoh!9G>`6x$AsiOLu>=zI&JQ z;8{*1a|C08{5h?_Z1-4+*jpWLC8lWGhh};g>SB-E%}35_(3~V}8!G$PFRth04cV@t zA@T|G0k|O{fUW&vH`;2lOTdRDoWolTOWc z^XLV5xUGaUL)z9P1^aZ#j4#}pW=MY zuLQQaaqr*q)h)U|-K)u;gM1$ZWc()6FS=E9X3`=PVg3v{8w1>wSo{Di69WWpufFj7 ztvBcyW)Yk9Tgmx-zuS~|6M{1d1T!IQ%eA5Aa{2s5g#~eW7_Rle9q^?j998K57K=H+ zNf)J$SZxLi%)ngfTiStHd^eu+FMj`PQx|%96o#infJz%09z44^?kP)(ZBE6KH`%~L zYV`GT+a=o&kdg=q551HK?s4DFV%y3}#eb*@tLLAitxB1ZlhW$?jbR$y5?Cji{Ff1# zRIiw6cX?m^E~n?}o&J z64=V5dM2N^F_dg6o?axzW|Oy`=2~j9_29qL@5A4lnjFjsuQx+Y*|Peh!mX2xe0!b(gL6#yV8jqDNFqVV zCjm!JY3dbIs|M1)6TZ?BfwvJqp$Q;qR3>Iq+JLbN>Ms%IV|U;-5@v+|Yf5g_Wu&~J zUFe3S5IWPbd~JkeV?^A%-{gchm`l9BY)jg-Cw@U6jKwYqe~gLUfFyCyCXnD@8*Ymy zNt9lX4t)ZBII90>d@++I-%(J;L0gi^a@ZyJ%nV-+kWF+@0`?XSoM-pU!$|_-wkyOT z1;!jP%{k?B_8`L1DFRPMG4^&mmv}Aav%?$kb(ji5=^5C!l3a@41W>`BI_yybdF>W_ z*E8l57ZQ;ftps5$*_|M;YrxD2-laoxr*{y87jub6SS}jnZJ;B`VL2vC-8@UYwoiQh zNq+PxILF+Ra_!;wI0mBZGhET*L@))Gj_qR0cL$K-FMa!kYIfvbHCx&FOlyUf|I=pw zdwSJ;b?^px=(Odm+C!FLw&nDZcMc+ZmtHOeI;E}+9Naa33QrKtnKOr z1wRZtzw*$|Cwqvo2UIT#M0t9Ltxh?u*(F$VOJCz#;XCo5yJ`h{>s`Xd6}$QS2| z2nz#>61T2rUH`fN!V8iKFCTOtUKiT#53AjsX&FJ|w^FD|i3k8w8iD7-*KY;fx$mJIc%<{%=C!;4nQ}9b8bL!^Us0XX25C{O1oHGcY&A zNSt>)B}!i`+!OpvY{H5Bg>eP8t6N_r=re`y?!6t^F&fy=-`Xb@o*v$}%_WfabOqHi zT%R|H@9|mho~vh0dC0IFuH;nK$^CLF*1M2>zRKgibaHWJ_+{RpUQAdP89s1=g?JVi zZ%o{7n%RXHaw3Aas<>+Iiu|Gq7pKfoh2Qs?HXQ6Hx>uQ=8FOJ z&qrrSIaC-D#T>jpcVH#qVRP+c^-PY}F19Zo3L917a)q zVn;5>z!N9D_yMG{SVw87SWa2L=<_PX$~)raaWv~FXJ-dQ?jIpJ&~)At{&>wFE`5aF z;ugo=69<=Us^*+nW%GrSbAzSycq|yKVOkT*0#>4#VLr3LV^)sIi~1bS-@@)NK#n+8m#j%;2NhbI=r8x2j(cE4bwM+ZoC^%RsRzJ_%gr9NH7WSuPy!xxrs4<_U?^zqdJS_)b49Kn1(>1Oa z9e#BZMhW9TNQS$sb7wcS$G|( zdpgb$nere$rB$SGQh2XjVXEexEhZWE`(3Q+Q-9Fymgv6M6-{Dn1GVmDXl0aUCav3+&aKGV?ZHj^nS3jg9?ZEXIWJ z%hl8$e~Xx1M?UR6Fy^kiCzMA)esDfbJHe1~OY?h)^B4aY_lkysC#*WHcs%Ov-3>yY ziZMYEhb!aRCf~)+eh9~T!&kqYrnoVqerj^QBsqD7VzU=aOzNckIXx}DBP^}FuTG=~ zx^@Y_r9TN9Z&uEIZuSej!R;+1vOMJT%1Yuvw5%8dE_vhsUGgS-!s@v@r9diOXY2tcE`x>=H!#cFxUJaZ~2qnDr8cX?E)M)9n zU_QI?o`dP$rw!Q^Y(=B9p9vWlQ?k>UY1eM(-=;$7Pj>Ov8$Q0j5i*>RJ-jDuA>4|S z${M&*OYOhGj~J){g*pgRODCrz6Rw38{G_Vsi(V4o71`11r(U>aUy+opTcfJz)ZrX! ztHWCrBBqazZ7fN!dc;;EU=W~p;BJURWK9I6C50_IShbhw_rz-~a$$eO+!!Z)+<-X_ zi*~rwVkw-|wg*B@5*&7!dmG1^Y^>T&<5S;ieG2+B1RLmO4uN#BzbF)@nBFbU7YI$j z#3Tqi3iOcBamE?Qlr%}h?E)tKHMa79?khE5!MElzNAFGPuj-}~&>+&)xsvHtu4Jb~iN7J94 zLS>Z;Qgx#WKcM_nTXA!Xa!7S@q%y@vqaIdUYD{&_Q|+r#%XV`xC&Q>87H{Uck|JSo z4aeC~(`^)}u_*=Z;asOrjtKq@VE&NSA3A^a)Z|EhfkVA3_0>^sb;=b=Mzz=7UR#UH z`>emD@*4<`p4DxPddNShrTt@Es@uEu*e=H>`d`PN-M!A3vh|2XfR2B5T{Cq+qVj?8 z?wt(76IbfmHt#mq(@XA*m39}v(*%i%q^qPTmNyepDP8@s^c(1(p#PQ9c=%&GKrKK~ zhWAg-zM*Mf=eKBRmUQmCgY)mCO)-YbqZv900tYbtjw_u5?>?5p=caPYcs|6X;sqbz}L{&i1>qb$FMQdm;AM}}3? zS#cwiS{=*`DXtH@MVzrRk(wX09QD)8kce@e@7&;Oc zfJn)ZZkL+aVA=(A{VMzKl)(zDBaxXG48{tV+7r)|>Df z8ZP!9oT3;CL~!aSFOZqkt?#By1%yC&K*at1Y95$=P3-bug(8^D9+BhMaOoqkajS5) z)@po|AiC9jEpZpSV8qN(`@iL5rP~N3C-8sGNKCIkb@q_+GeIDLlNb^)MK@olD%2yD8~RtEkR3^)Kl6JNtn{i)r10aO3Q zDU3NKKZJ?!MBR#w}j^d|A=QjQc{w6 zF^T5is+Y!{rHkDPf;5$RGxD|Wb1Rth2aa*b~I1csn4};Q6xx0nZ=OuWb)-= z>qK4ejx8bNT3da>Yj<8(*|%%QwsBKL?4KhBR zclK!jb8T^dp$mTfYYaSnm&qTxbaGv{Q5v(&UK|`eG;t|r-JJ3o?`&8}BVDY9tchWK zg6_!Nh5uo;=h{i*P3#baLF4!MIKbvtgl$Un(RUs5O7GvZdCJca(Z+Ka~|M$=UMqw|nY-GfaP>evK@9SyVrYRM6d|qk?qL?i{b`?Zu zd|xk5WxPK{3F11z3MSkeCUutU*RD`PHPFAtn6He|Ox=HKT>oD6>AmgC_}hWrG-9o% z_QvtaQJRkaW~}z0H9e3vHzF{-2YN5`vAyHzOB($gHMzyP)WUH6^t$mO#~_LQX2SPC z_sbJ_H*JF5loDNtC@)O270)byHu-*SWfJNvN7PvGKAo zx^>RR%m*9lO;bWV87c!BgoqVJ2zGUU_3Opfjo1H$#DEYF zI*~LtzrUmLKs4B&&+vN~9ujkN8{cviI;FzRQx|-;io4_hirBisHl3_05I8$jIx^*r z{D}5J?^ht-F69r%{)U0$X~Y)$`YnTmYa_e7@aGxcR3%$#8q7+Tev?mOayr?R zar>aA^SV9>eJvL`yArF=p!YxZ=M5DGxzcbau9cPZ;=i-b?qp=9+?W_AAC>_6O);gH zcfL~t?{enrvXAnvJz0AH2?hx+u1}0_q}^3!`U|--1mqCut@mp1pmYn=G?YhN?t3a+ zca$5z%%<7h*BFSVOB{g1%OO2;@&*kJU`p%80v?33;yGD%U53dp;ez^~H7C)!BExSz z{A%oT9hvWDo_*5oBIUBY_?Lk$-fQ4~>0;C0^3uJ&h{|d23fZz}=)lM~aEBnfQwQH< z_#3#ESN;6L7sdAMsU|6K=#H#)iceKm>QsX<&%W@sYhnFm?%{Ei>jMdcnL9*WI~Mp$KMqCiDO7hK9otVah9UdwNEi!tuxfSsh^Io9Kn9A}NRS~u6mxr8_k#_n* z@^uf|i|~33&D8iWs4w7`8*>|u0xrkB(0Ms%R%_h!Y~|&Ezmor^hZSYh|8p%OPInFc z$VI)1vn;Jlk2kQFdaC4>e4IsKkvor8>h|{Y`k!1kY~OH0VEDG9E7#YePT|^KgV6hy?c$(a2s2_= z0K{?qOCaWiHP%zL<`!so*iF9L=3E*8JL=TtDMH}^&GzrPZJ;(N2wFD**x%p&D`l<~ zA)O?}W3Z{+$6^c&JvyDfb}SaxCNxL4-wF7d=m?_bKAXl$n3Oep@3swD`g(RK`e%dQ z=WU*$-S_ZHbo?6Ka9*Yv-llg8y&$b47KjAXF;cVnw01p5?HfUbS?a%S=0_dE_%!$a znfk|2DQX5gr(4TQzm~}t)ctwBone+l!f?rXv%+1c;*;54%N=6>p5T?nOUWl{ho^`n z2Y3%W6_FCN%UFZCu2hJ{xb=;|9(QJ?Rf&;?5~i`&)_&ailqEK6ULqOeZ(E zis@PfbntYSPdb+wY~JyehvfWhov=r#1Fpr`;{J8xwu8(cP2F!lTCv68DdT9R_e3Vb z#|d2%7zd#W!-r(*3%lKH87mYpzXxKSZOX(#^!r{Z-rO@=+2^CAomqjPUN}yufpiEh zzw17m@1;=O5!E#a;a=2fLSG<_X@s`C*RhT-5I$fN9f+B6jp*B~6>kg87zQ_zr8)7-qx0+wSO1N=XzqIfXZY*+_ea^Y&M`4h zu44+YwyX_!nTLB0YyjZc*liddRPJ1;IlUKfJFJYN*kO;(wyVm45BQtY;nM*L5wZX; zg2ic!8^m(J=>=gWaK}Sh1H7tWcO0deA$(o`rv{(Kmocm9|D2zF68nBD_~x0Gj>+`Q z@cTw{4&u}&wb_E5jdkMQG#)NNwv%&>B2?LazMN;f=M`BFk1=F^qWpaA7{0)3x6}RA zCjsgn;ikzmcR%Y>WOiU`~4q$79hV@vu1YXJaLW!Q-jW>YU zLs$R0-_6?hjXUkL1Gf%;9$q#0-k7!7YZJeEWS-iT|LG=%QwU*bYDQ3yx&NZa+e@_X zF~ETETDy*IA6xaz%#aVFK!V<&`^x!==IrVkU(rbJ07beANXCE~{s!~leC6me{4T2D zbQla#9V{{l(;t7hUINTf&giu35}_iNkN?pr0wO|()0`oP4+1#F%O5cTN|i*LCOh-} zD)CG!2XVGHx?+JJ0Kee^h>gn75Md2aJ(f(*Q1(irXS=fJ@Z;hq4xc5MaqtBqc8PR! zJ1QrO98n6!)Z8cO6T7CCtIhhn^OfA^t0TjlWsy z1VkN6JFsQHZxf62LZJ0w%EC8H4G1S;vb}=pgstHu4{1`Fb}`R%X#=! z+KU(4K+g{L>CJ<%O(5M!H@xzc1-yCSrURzUTI;m8NUIgT#Nn^eN9DW0zDzmd)_*O0 zKkdxXR6SvTEv7FGJ1$Xohnv#EYSQ%`UA?{xQpR`w8^4!?qe(Ft-ny1K0%Tbw(kR0)b+_{+@kV{_n& zbE|m~i--Ao2C3-xiydY`8v70E?%}cz7W#gZ4|&v(gF{?MfJFYIb9OC$>+06_pL_2$ zI&XQELXufwUXI%u)J;5Y@CKsT#J7aJv@gu8ca&f?vpE$WcPfX4Dooovr_o>9M|CQO@=9=y3o^NsY^V%t3GPTSEZl_Ga6vvKw3c>M#e%yA;Vo1W`yQP=H= zGVwY3!@$Z-#z8&v$ISha%|Sw(yPLgsl%y{=(e5P|>I@W9htG*N-0`_HAINA9bf0hJ z?9P!NKRhjLEjb5k-CtwH>^fTbG5PW1^(aa@l8*pu9!7pSsPS}@ToHI2#PX~t9K#({ zm7GJTNK7)60f0!+Z(||#;Nm=X#28^Y?d zH+Rl%C)NxH9b;_D0Hl=~mf%84P1(8{JZIN_a2mogLuNPq%bWcCs~?draA~}G{?G#t zm2(GU|77MfZN^W84YO*+UHpbnxSlw7$%D#m`(PQISxEkyjf}dY#hdO7@?fn(GRg77 za(n;aMWlHJN92W!%L{O3zC?bJfrY0{=i)GF3hHCaeZK7#%aS$L7UFMbmZx zl9u1~u#sBNixeCV&=|)&IA45=H+pmFdnG-|zJck^7a}Z1+f;D9zuutdXkx*l$>R^ZF%t-CT&pXkP`9``SyiiLCfw_;K4?-F*70c1 zI|S#AUO1=RI5mB!q$1_^F=x973eV^z+NOtvVSi}rS`Q1>H2FSK@UxE9lC~da-x=1Ox?R~p1rXXGKa}C$QjMg(epB3b~Dek#_mmE4k7hAby z%_l2~AY_4IvM+bubM1}v#8=SNvTi2gAx``$8)fr(m$^whQSFHfAV-;$NTI-1!8kELlhZsnY_JgH9uaiYiQW_Lg)j;pN_5_Bo{I+G=oPK4 z`R&i0gSm^mC2id8nya6zr z46I>ByLzC8bIfgc4B-*bKzz|hWSv#f-|6;2H~@Xu^3vb@PXCdoHF?>0NC$;Cz%S|f z1(V*_JWJvb2D=aJ006P;H56m}i2G=Idb%PmNn%_?#K1#*-e?pt5$UmWD{5QjV81|M zE#en#8`~Jc=lRrYuhMk`=uN5N>Iwt+f|Hf*g3gGod-0U-aQw1e1Y;o z!?JE~czRDQa@_{*q~j)Umf)Ho^Q5Sdw%$R# z{{-g64D9k&@F}Eu2QTuws$B`IvZb)-o?8A|3?5y?Fn^5zRhBNsT1tVY5#i3u=99Mv z!sJ?W!!dZzU?MwfXQzbVpn1c9b{^(w=?Ohqg$=B**n-C2ussM2-85a9qJjcqRGA+N z4_K(04oK?GYFq=s0hJ$H(=$~!{}XPLOR#?eAIHz80r9u)qAPgoh8`o$(Gf@=>6cMo ze|eRezl}Is@))-oF?9wkEafr8iYuD$iPbU~s{nKFws%3qr|dqKm6P)Z2X*d2mj`dy zxp@9QTXbV+<7EX`h_J4;lfWeg`tQ9&lK~tuB24#NfY$!9w*m*V@I(Qqhk)rv4NPK& z3j^|RxcW8TAzTLp&7D2ALMyWil#buwcYLfAtA%h(LUVokML<{ZgeUPOvuUiwiP0a) zz_ElqEyK1dFJ&z)tt}>hN$TtJ%$?-zSK-KuaWi#}is z64KE;r~)biR)hwJkN;2UiUSAC9UC8XxO#EF>%u5|(lvN>U+*|=zN4Xn|K3hkIK3b*?iRFh%Z4rJsDXpWpvAeSVB4w9VAe&3z`J~h8EXMkxb-TqgFKd{ij}owUc^=1L z*cowwS|%LSYgIw{8F`07>kBFW!mE_0VR$FfH`zGv zG7e^eN%uvX_6DhB#3b{Dx$j;hc|z9OhRwf0y5T_ATuD=*Sl`|r7pecDKv}^nz@A4Z zpHx=19nGN1-O58egSA>e7d%A?r!um~9ZZOrv;k0AT5omP7oNuTWTKhX3C_0og%M*Y zYS0p(x9FF>GhrN^^c5&$Osr)x4%%=TFewp(jd%WFxmH>;iHVzrl1#x%F8cj1#{yzjILxwdNgnzbJsx{kw*ZPZ$l zZ3K2P=n|u--aW85SA!)%h*DLPLOS) z|C2`;Nmd0hNG1C!&<|e6I+q7Q${O$Sg2cD|BRzll_1EG_u*&R?$DROmuyi76xO?`H zjXivh^;+DJ~Qo^1MxNgSZbjApK!A_2$HC&-u z13D-?M?)i+-J*-sX`3f@?EpC5D79*&m~vL*Jm~9c>EaymyyI?{M)H}xY?o){siG{( zw6J&0GD>`b!?gW;u7J}Q*E4^7I1%LjR{r?UH!W^s48r*-C$zN7bxUfBV1@jpSU;7T z$~vgb6WLsH%HNt_G1P=+?meGO>6+}IRZK~q_nzOeFR0J83xVbcfS6fa;yqbC>=U5q*T(Uljg5(c>s-40N0s<>L`rUcXPe{(a7`g7%L>$~yN(o1PS`@n{1NOJ8yb3r zUO2DF174t6LuP;t-d<*9A6y6R)S^YCd!}H;)Gx5)5NLAbo;a_dT^l>L)Yt}R*FB+) zIs+m?dVqhzC}`}KxDH69cTU;#2|Bs837oUbH7+Hur4*)b6Iu=w zEi!qT(*%yiegrN`izeYlRp2ZB2FZhkXQpx$p-P)aFV<=MT}fEz6SOUS;6EGf{}KRI zrdKl>0}nH>(ZCjLvn2`I&z*+A6k7w7DIzHt$E(tW)W0*gw##h6I7=2M1ol8zkiAv_ zLk^sq%I;Pac8s!TztZtnY7I~t1Ga>(By~}n!R~%#UU%zwDPu1g(V?ovyJjOz zl_C#A(fW$ktibe^?zbBs-@s*EAFTXJ<3wfO+t>wDnigH8w_@&B-Xx_fft;psJej^4 z(|bQ^7Bx4gP6SJ4H&*r>in}B#;$BP%N;Z=H`PVGR)t!X;p2_H&r>*82rv%Ben1U&* zwWr4Ae1<@;eD6Y@HqDYIZJ6i1qfX?Crob5c=Pg0%+!lHV)Y{{bUM0+3Ih``9e}a?h zFp&AX*3ZTFe#qfhjc{FN2||W);)@q2Kd*Y-{d>M>ZMWiH4%|iK3!XV7Ws1mQcKa06 zjdoQiG${8Wg!Z586bs9S`L;4ZgIH_rA@Cuw0$RCw)rx>p`)pJHzeRCAzL=s6+O_x+ z`j3Q~6j?tt21E@p9_WMn8@~GddFz$MZqCdlbKyw8aeqvOPdz^n;a$fcO>*8%*ocL- zZXes@Az&6x#WI5v|A0EmV96uQpLmpVM;^tmeNDD)`BLtcj4YP z6zjm|!3MtbcSX&D0WrtB&jT#3!F6*J;ed3C34QaQzvB)fz(b~&GqQG!iFI52%ypcm zjOK$*UvI*=<59COc1e3dbi_RC*D^1wkA?iZFJHWsf_*T`_W7m**iL1>TKW8zE7rPb z^s`3p;LlIY%323SZVg~Lx=HpDNrPuDslVf)_~Fpk_}^zG4;H z_@?K==T&wpRuxpku=I!zk|xLE9bG!W6@aQ703m1|_Mrj$GI_l=Q`(KQTZ9~au|Vi= zsh#aL)uJ7i&k%eEWmeSN2-Ua(=Ak;S>7y)alvgR$+9w23Ur||3OE842Jvbe0WeKCO zZ%!YrPS<(ib+9ij$ab>`n zAb5AdR1ALNfaVH1G-5h``*42SRuwjtaV}}&9rx?qJD{8j(@e#EbklhEqwIDJ|M@m$ z<&j(QLEVE}F+rJ#-8F7?vPMXF|0+7fsyjiUH&ZGTPGVm*nw!KS16eOx7M@HkiCf`(2eV( ze(m7k><6b}+@w837Jf;-{y-<{tHal4dj}_&n3%{x18`w*KVWbjen^6KVafwtGN;qo z&Q98S<2{&V#7G`L2irp8B8dC$OPuEJ|FQVNe@-<#5Js$|U`NYM3ZCdq&B=2X^IM73 zBJS@fhq(AB@zvS9*TADf5zYK4cr1><_h^-_Aj*7UxME2J_5X#E_yuHr4_*!a6*X1XQ+;fM#!dW#s>_StU0=z2mzhKDM7%^ZaxuUo z&WVI)Lp!$?CF{&Z--?$~>hUtrxmaoNJkD)M1{dP2X$a1l8W^IiEAIgd|HF+koJJM|ed!vl-^!?q#8l6h(D*U|=TI{T}~ zg2AoZe`~Uo_u9oSUv{$I0ro&gM-(1dzXmw_4xbbf5~_s%iYr`;yMsk?D&Zxyi!iYX zykKgqFx7UPkPS&ah2McCzUfTAn7`N4!1IP-*N9UJB9}l%0Q&?ATb&apf}u=!Ir!%# zpihY%z)$~0tz~3WSTraFpUfdodj8@Cn-_p%R=bzkyL{UfeMQ;)FUfL4mzRtp1WkH+ zPR?P>)Ntk`g0td|$Jzdui`*<^xs7;7yti?($wAfluq}zEE_^}5{`Vg=?7HW5$NR8x zzwjc8P5Z=3>e%lajJM)8Qh&n-P>q|a7yRd~{JxXHy^kc;Twbdp=q324N@`H=!JF7) zCzS2B?Z1Bnw;C96gyzk-;>XxnVAn5o{I!6};i^Xe1Fl8A!OnnPHT8?aBKmGTG~-BB zzB_xTsS1ML{P$)3`j*~x`1P$X*H0RkV==;wjq4JQ;G}0onmR<*IGaRd|Bqu!Oi|vt zj{9A64VAqJ>uJqz*UB)rBiWN&3#?u%C(}*w?AYk!YPu1P-E4mnbna)EzuND#+gJBg zhY(f-c=!`vS4FHU(Gd4r)deY$IYXs;_?zezsCoAyN>@x|H6i&axmG0JeGKIiChMV342PTgbtbL^2v+ev|b8-vgpg#kvL)&3KiI% zG8Rkk`GKMKEO(p0+noCjM?j#_flDjxb0_rP5ST`FjJ|;#3*;+LkrZ*%VxpTk>@Zna zG?B|BgveZBK}B+`f6w&Z=>;@Bu(G2lTW_Xod9iEe6??ghQjrX(W((Njj2bC1F_e(B zg4^rAft&mJACGfGsjF=|!l?~|V>Bo$Knn(sADt4YmKva*N9 z8dq_5VeTL?!5;=m(=aQ&NMGy$&Pc}JdubA2MI$k@8w6esR+bD&2@=>r)KGBkNN_I$ zKFua#XcaEOzK+mY4DYfgzU_VA!DC&4u<4_~J8d3!VedlRhlUq1DM^Yv^TUjV^(Oqz zEw*$=LCt~$x6D~@IH3Hoarh5wQW7R`$!q|=@~?ohlL&J37^erD9+ZhXL+DV6p22GY zVm*UgTU_@DqQS=b*4xSdTZaL&!cg@J;$&Bd zj;zIwq`gN|NnV4aM{j3dVa2`g#h@6z1yZ=rWb25}_|aPKpmiAw;VCQ$vJsVZi60^| z_nc^fxE4t7_dm0dWw#A}rRUIug)+W`Z(;Vmur8_DxMza-jExLorCe7%u%)KvLh6-Z z$$k1!@21sTHEAXiHy`}j@%UoFBlxAQS4uP5MqNSGep1&j%^j%nM~YT2^o6rTcK(gd zrOYG_VX>O#Ghy}OG;6y3CC0SI-nb`jDFw?eN0VNWg?uR9_nZ5~ohW82-_a`A3x^k`UL&p2;>rKfD|QeF1G zP!sNbZV3&&x81G&m+TJj4!2y;!?2pOx3{+}?jQ;oywRCl;$KAEGe((B{qXlB(*vPF z9arP8`|Q)F0f!<&N(`wc&Qke9H?k*A=;{Ulnpc1DVv=I$Y<0rI_ig)MjJ&;or%e*Z zeLN4U9y#>jgT7gxw1h}MKlNW;iVH4wk#aCq;S_fX{a;nkD|zkDLU{`RT6kTp#(o-;KN>(% zesB|@r_yu<3oM&ABxPuo)baWUTMp4_2B}?9vXQ8>bQO&qwkx3cr$EdWUIp)oOn)pu zfcT-YUs=!~C_i`5N&#wbzh@iT4fLtu8p*GY2$A-Ql{bW~*nuqUVC* zRBW`K9&K8)X7A$qO#LHuUj4?#Ug2Bx>>?t!XgFCkvHg{#s%HfA1@Mb7d~rBv?caC7 zxRBQIoh!WY^rNkH64Wc2CwEW}m3ioJA2+?*X8Pnj0*t_tJ=H{u}_pK*tZEG?(1>$65;7%lxy+nn$J4T zFsIHp9_Isp_^ey02yskbE@T1uF6J~n6LYBre$4S8ZJ!mQ(Zk6%zQ9c(5l}6tQ@#l{ zZ)2{*Q7644NyQT14ZgAx5WpW3nb1)Ks{(YS>M>mADlCL~qoH)7!ZTm_3Xr5km^lNo zz5<;msycE~LQ(F)JwsC@Y^{whzzR@4lw*1&$Fp@fLaO%<2?-b7i>MO(N=xLG=A&}R zy{vStmFSyz6d-Ax?P7#J9-kA|ZN&TTP@mo^`j&L}$-XFxnuho|({bl_J9q6|BSUqo zE!SeXIqZ7LyZSCAx$hD%BfxQQrQ1E|^moV)#wuJk^rGwuC>`%LeK#jqLwzL*N9=89 z>~=*}#p?U~%v#n+y$W>WR>GensoYVH6F24qdMT3!m8Q*vbESwGiggjB(1fLp&9T0! zDfVROPhpoy3MZTbQ^nhip6$0xl!TIu@#@RC!Q6H9P_=@uLx|*bmjMb9dO4;p6~iLE z9KZD`xwdD@8g5|t!^9+lvYMd%Kn5aulefc|<;fmTexEU&V>$QBQI883PJ`*d@MW4H zBpMXRE|apSvEoKt)5gS_D={M5Y|#v3lX4l3h^Q)U^Xzjo5|);U5K%8(2A7#U6j0c! zRw>LVEs(}dZ4?4mz4lF5D;wY^CIlKOH0p^?f@snqqcr(NEFy+{Y%0;lG5ixfx`nOX ziV%3DIVJ%q%y@z-i@}7@@o)j);iTy8LI<;pCE#T-^S-pL)%Jz<`qFwwQ;O~Ps;q4> ze9h3*cdY+8wdKyvXoIUABxxRz!vEXWlW>!-={@v$d$xj1cj55Tp7#GFibK|l8%{(} zHt;$Nryo51VoQix27}wK`;=V*gI9!iW}NLkl)a?Bg4(omUP)PlTW}<6q_{wrR@J@! zVdq4;k+mzgM*7|~O{U4?N!5EBTqlgf9gqLydp%TAzMHP{43#Ael959XND=k$H~_Lh zB>#ur@kHPtI680N5`vum2PM0THve20h@Sru=AFDTZnhJ2GGb?d=6h6)mmMoNFp}u$ z$i%jLcNKIKx3|k&AhZ;0c?Zijx(_sR>S(~p(a^W)Iy~bDE=cD#aAGPDUWLdJC(~~4 zc%Lck*)7qm4|zC$K8em`DzyTj8tB0>%j+@04RQQ*98qjm*@oU3d~-an5%||BI%7k4Jfv5cZUg@&y(k_L25rc^=4#PUI*z*;-FPGH1;oG~7+}AA)feP( zFHL<-PWh{J@%}*RlLsS~#(M5lGV8>>21--a&ZUq*`|ru9Lb{43Y@LS&3?1|jQ~i3< z3_};(c=`1*KyT5!738x^vq38~oaBg=qysnT9%syfh`neT~U)ZNFbo zD;RS)pa0$i~w4H({mci{QsNawRp z$0`GfMbtWujInaieUmCb@p52%NG@#+vmGt%?Qyw#>?BWop-@i9(Dtg+#VGB7d@}Y- zy?zA+f-CXh;3?u|=ZNF}k81nbO+@PMn!v02$1%Ug1QOLM7kXAycyBP50X+r{z`K?f zrnuv;iyLt%!-;LR4xTj#=qV?XH_$k@Q9WG@-&-HS&AckyNTc;l`mo?;5$=Q2u`GxI zL_9`zb0*hb^eAw3(l`N`&unNy`WF)j!I7p8!VHQ*(A*;>4jk0!kFqL{soBU-@Q4*^ z3$wl@@5m7NwmT=0UW-W818;Zvj8i$HQ?AA@-KIE_^Nqhb0;r{cI%%M& zte%)g!9H+is$9KvSc>GaBk=+@FZgxK5v2g$2Lx-m2b5i$Ug94?aT(bK{^mY_NoWWo zp1fFBe}uS%O%I~aLR9yoU1gOjfTA_CdS4#CLlP;N@ zTx*xhw1v85`o^o}s#}0NXP(>jpfZMWm1}0dBVVO7ZQ!vNJfT{ioTE1pw8z%&g5QABnjJhSA-aT~^+G_;3Zx6AnjdV5;@7 zt_al|2-SwwfIiWrg3OgwKleX{;a+$5!U3>do&yiuE(+u9XT@GZj|u7E@L?9vW^w3b z{zm8i@eBjjm&pYMYw^LAQ-!7Rz8O3SEMTFKxjuZ8-(k`WJYYro@|%U3nY#JSyjaHs zQFX8H`eg|!0>$I{gjja5tYZn$3WsYGS^%~?rcF8%2q7P>TixKg9~AE=##gE@`vwQX z=AIZN!!5D?^{`IjQr@Z3CUIGDJ zwNouvMDM&+8x$-|9$PIeogF&UJKJejUOvM@3edN{SC@u4T_BAEyC0!Mqsazw62}E; z91RTE&|E+_uDOop$SYw_jmKNA`qr>0SvNR_UjImW?ycpijPUWz9aIN+OL^RRVC>MX zPj!~mPNp0x)NAC^+Hp&TBTis5)HY3_^gGT8uHn3S`Ov|I3~1Y#RNfG|dCX2JTtMgk z`vH+#AJu5XG}{fXDJF&i3-oc8%6v>S z8X6i%5JfWfJV@0zE0OSghcKO!aB&kQF#vmMSo)YR$%4s_ir=gE{o4ypcPyn4S|G); zzcCFkBOVsL^GrfL#d31EV-~z4RlNPCAE;MPxZM5h@k0W4AL=?=TW-cHscqX18_q&g zOdM_}F3sSi*~VupUC75~c(j`>_o9bi`>oF_KJ#c_@6~X3cTY4mR;z!UhoBQc9K^W^ z_7X=w4@wdhJ)D6IdWRl9e5jtCg|}Ep4w*lVfG|r19#PQ<|Ab-p;gY&}!SPE zt*vb;{A%rrD^n#5>R8&o?@Wc`Wy*<5UF#&)F2nTp-b$DKE*z-zwiUoq(#Vaw4ZNZt z#8|C>ty^?;nzl0M@xijZkbwtxr)NQ`Cahks$O?aSD4!M?FeC3s@m(5Shd{<4g@}qZ z++G;4Zpbu3O-9_!{+kZskt2nKbkitB9aJmBE&^gF(lb)N%D10oBR*1S2Vv%DEAa%{ z5%4xN`7mwvxOwSXyUVeJT=!pP@U4UI1EsI>ngeDGm}Wy`MmKE9#Y(I|JpBj9xmh9! zVR~qV@)583Z&?KzfOf5+C%{x}%6^R`v2H|fFA(c#C9ED=k;1%IRWE#^;=_nki%5O% z^kg7NJf>sjn3up$($IA#_`#7UXfas&9_wS}6IKQe+LQr?7dj`uU1jWk>cn9V{G-{= z_lS-eWd*A3YNp!8Q&^=KF-)Ay=G%(890hv5x>K$csg`jHbygQ0mBesVWu%vQzXLU& znUMBx+jKq0=*mh(_GO8)gZ75PpX$AT=Ms&HNA0opT>F*7#bbKs&2b6NV#Y5k{k=Tc zMS1h9GVCK*4C8Pmg$_tJ0P!F&K?#ro%>_=tpsP5D(10H@Qe~{ByRsj+4c&O%hJXTdKfoK{e)gUYRV^<(VI)qG%r zg^r(H{Ma+D?2_LbK)lGf>9vHf9@I$;t`B{bj;{763$FhhnWitI5HXU;BTJSnBgZ-? z5GpOfCn5j*8IU${*F*B7Uvfjr&p#6QKbZ z0U!&w8eLbacW+-iZ)Q#6RDi{H$B6ezE)ur|4Mj($CYr~Xf$4V;DJsp^-E0pmFYo-PGgoWr24_ED z4n*zca~f`oSKvv5vHizfBtBp*!nOCn=fj}9ew46N>mLfHvZn8@vXKoc7VOstypB5o&U3kha;k@utNrTQzUx zz3Km#q$_Otun>O^B>92-&(m9n{5kI3ce&Bln7Q+*)OQo+xup;^)?&Pd@oV~$<6CId zA#FxO%8S4eUD<=fXGFjMF`plf(#OgzC{Q|rqhgNUU z;hOAWPWBq?IB7Ve5Zj&Ee}p}Y+&+rhCLs!Ok0zKLi8)EPhAGlxfNRCB5%86U#rn%# zC%!O1HLt+D2brZSLM!C9uKnssY~h_DnY0AevDb;WmlunIILNc-)jjQxBg(EfztwrLB_RbKh$ry3jol-y*+Cdaj(BdAb9zMOkuCn zY(rc6*uU)fi#(?$dyyDm01M}&Lg>%)ME5)^1&RIioG#L|k+8j=NrK9(P~ z5teaYA_5^nI`!TVZSJZTDY-CWj!TJ$1UW(|ut*}-Mxf!yZTGro7l))Lei}xKk!pS>w{J(wwJvkONF*G(7agMjwm9T1dJh96A zhO+Hf;mW+kd7a(4e*Id-50`zb|65hQuY5VW*~89%PXJpiT=ymZ9|N z2(KFzU8sVwTXh~&X$q~JEo&=XydA)Hvl+&lpm_5lldYmVy^{KKqskdsv)L)pG<;eKr`W4Bful!c3+#bs%*15tlO|Fw8ouM#RTMV{OUvojdn_j)` zF*f#Vf|7r`v|te=r>*_7a;KBWbexFY@$)!2@N>|=z5#LR%j67qKMD~U1mBSo4~tX- zfI7kia^keb;z6N-eB_o)%;ern{FU2g4NjKYO(?Z~M&R(PZ=bY3zRd`t2m0^X9CdOJ zt3P#@aCofQPl2I@!0bxHR1endVpMD|| zpjG!^kgcM2w+wBZ#a{d})fGyKdknsp0aLp+u0Zg?ky(r^cGNEj6k_Bc5rZM{M|=K)lNw~7;C|2eQtK2EIznT?akuyH zg@3b?U2wFhcYpapr8nnjb@S*GZ!hK44C78CpYlcAE)Q*aW984h0fE*JZG3mTH%5e6 zN{9NMAUJY{n-HQg70_&(BT7e%Di9suQ+UFwZ@GBbt1DVOOEJss{Y{K!yu*!aYInst zim5!^QFjJVp>GnYm+x+|8NV8y_XpcD%Aa^T5DXmFg@&=YW)Gk{BYZ7%w7~!M`=!gS zXKVy(&_y13fPxFPDTh1uD)AfYQl(EYyIiPN={LU}xRNI|J?m}zPcU3vjNdhklJ0b< zQkbU9*vF*nFqzts?}jyk1($5j2uUwbetn3&H{v41fKLQhPu0h{>jBrttBk04?KZyl zP~DM-8G+NmY~CUdVyLVW4)UVEQ)|pQJ=N+pIifC5B5NZCWP6U#!nTK0bcwpE*JUQW z68t2^Fa=11`yt3v=<#~+5tu!Il(7W?gm9wn2ZrniIt`FD7D~X1O)s$2Vb7f$XUhAUL%E%LpNG-C^{%;Ui3_~ zW3%SosQQ64m852~e4pUsw;@UqfKR<%ZG}Cy0!58AobPV9Y#jog`_v6pdMTF2*S5yXj{D6FPF@tCo# zH>p1=ZKw54vO;lTSXv!pM%~;*yPMaidTA)b^L>OuoDb)jzbtj1G+5HhJ#imQzuigO z4>L4d&9vDFL$39AY7|rN1Qnh_kAvS>=iRu!TJcB|I^JBGg3O%D^`eo7{nE2Le$Hv4Xd`?f$kS^tNb>ygMyAzRy=wN<4MiEX(2V;@ zN$Mp)Ox~bm0Q~(3;y}#YG}#}32$(C`Fjn#z9qYGWe-xv0z&?JC1}5HhKbX?bLHs+O z+wv3M-rKrcFrbh**+|WgtNdVa{P)A6;XN2RfFDKzAtOz3pcu=aV#|+s+g<;JTeI#t zG8<9qMCI>yb#?t%+WpL9;n6ehMgaN<<27mB4kSx4<}~=HSHa@hG(zRsEgBd7G5Uz1(+LuYV1{9f3qpp3oOY4^gx1xijAgt#ed$3wmjXx z=HPDMdaq$uuZKqr3{u?d)AJm@xXhbax!euXIwKWPurm;qshR*m7I4ENh;aMPoiLjM zV>AURmFPCrz%B)AsHcBXAg4-;y@^Phu=C6NS{|=g%q)zX+NZ@C%p(IzSGY0N74lBO z=h}ZL4XcjQmEK+3!uEmoSDT@m5lb!9vx7{umI5y>S&Itw`EfnA-cnRt}xFsbNApeMwE)*`@be1~w^c3QmsOx7m za%g;xHTQGchB6M^JW%$J=AyG>E%$L3I1%ka1 zkig~)ZD2^oojVvWu7Y5Ug#=q}R*L)BA$Hb;Ev_M3_(C&9eb5h2OkoI|A$kj0ZRmXO zPA62_5F$NJdNGInV6VLEgcED?vNZKsPqtKF*3k0+SnTj9F%_>wbweTLty37MJ( zp7zLlcG^4|Qsr3=WknFfTsdEOkp3Psg$K{Bk$~ZwC^`g3MqxNi!iy0rWq$GN!ZaNT zF)^i?Itw)v-&PX?O@BUBsC<-C>U>SO&)X+g{R74q00Ith-KQPHD$Qpc9hDM0|ToF#UQd5v{m)#oIWwZDx^|AJq@q5?8O!XQ|_wiD> zP5<6VbR8TYd2il(Zr6^zt7b&U9xCjU%?>is{2eVXEBh$1N@UnVQ8Fe(D<}L1&7Uti z;?)KVSDyxllgPvo72~`iJ8o_?E>v0JDK*T`sZUR?L%e|@rQUr5Ybi{sMR}|3 zayRpZl6k_jXB+y@Z6L!)95D2Jb%viy8IX$2YK>pP;-Md`U*eqzb^1=2e&VI1PYSE& zz*P`XUi!!fxNn0rv={gZEbNJM95ypbxVM7z)5X8EF!%yfqlfwqV>TG@Pv`PkASN0U z1LAzWQ=7AalOD;c{AwIL6c~sT1RvHQaDU9$Nl0oGf)T=~`!x2WL(eIJKBrA3I{B*A z18v3Kw~l;J%vF`Q@klOH^%@x-egoLnwGQ38#(E%lFBhr&WFZ{V+Nmk<-b3I!vzasS ziv@zH34apha}qkSGqFfN(Zqp;Qw8jIPs8r1*{c}CLOlOxA@I1L!4`j63HMmiE!u^& z^>+gL&}2QmUV?au*=6$>p1_%le|B~HKc=6+IgYmY=}}2Mn7c?%hrS3bA`mgcCGb~D zI-Eh%n1*oI`$jY+8b=(@F)OccFv*sVL!qH?&$Kua%|Y(}ecT zvu$*-a8D!(n6eBO?(tl|YugfT(d_g-*1Gi13iso9KBtC<<)GmJc6&YLLD-nk67g0} zniVaUzfzF&6YKRuQtMSCsB33#NnKTGULN!JMq4fSSt*(Vry;%Z*V8Y%P9^R|mb;6& zf_(cTFiOE0NBOQ}yCrmG-4R?nC`0kCz#mzHmUA&Ycu#dm{Mh(BE!q`N;t3CQQ;~ZVSzmj9_?2S{Z zfN3Y9IP9Vg|C+SuF;08T+=*Kj6R61=?8Hz&M*%$vP&m=-AO~4xbq!9~zX`&HzlTbwY+q@X@9bi#wW_?zIb@h&jcXEIB){)=_Ey|kk{o2D zZY1*kk9&kK{19ke19Pj4oYXcdvh7kLqJE^{XoG0q#f@p^+K6X z1*(ArH)VHtg!yZ^y2||?Z1IB>4+8?`WZLYr(o%ERhss{ldH0qxj6LrH`i9qFLcTb!T~A#J`r*ny+_aND)dGf1+;BC zE|Xk@iZ0)?#EdscOGh@K4Fa*n=LL*SHLyxOhg}ni2l4iQ^=IIX=^bJGZ^GiA|IA3) zzbo_!T`Ffr-yR={s{H)?KR9|qM!YABW?SDxZZja`*Zqkqn_#oK7cAB}{3*lS8X`=8 zerjhIQLzKr`L*)j&y{!fznJ?%L|d%B<(EIMUkt{`ucmBo?o6WxyUw&pdl`zwrZ!5A9@}V}8Mb-57_Y+jF8hbU z8H_wKboinyIh+rs>1VVG8Sae}I~kr@A{$Xz4xu3|=3&Y4CV5NtbT7o_j@Ss*WUQf&_AWVKYV8o2; zs6Jv2sVQ>o<2%rY5ZRYWL8-LJ092_txbhsY2A6f{$+#qU{GR>j@gAz z++SXp@K*^}4A>N+i}sgE5&@@QvFzCvVkAQXX3?PkZ0np`3+K6m~+Or}J=AAb9D zI6P?^`qSE6dX2E(XU*o&^8I-i>V5ToqPN*GA@3naiyzI;Fiv=FuR3EoKR)HcWGNBf zL`z^5Vd)XWyBqL7QnT*IRS0jiz~8@rvpi_#$IVIj605yI&tK`$h5+q_|8XXI4pr6& zl?d+_4Y??Eu#E&J9PdLj79^gequtsKGM1L|-ZZ$=8@frXuR0LLb!Mmb)xOLJ+H+0kolJ-bJH^aPFlHD?_eLG8xH&$|}tNsb2nsJ0dU1(vnB%#C>Y zTU0^eCE(F#{8+c3eim$InNy#nNp1k{2ta(8A602}|GJ2XH4Z?^uxkO`17i$AQYJ)y z#1mgDW~_H&cenjwl>+mO*<0(%HYu>+SS z0w#`HFucIdG<~f~g;fO!hrvf9q2~*Tw0lv)5H#FlyieSb&*#Fqb6ZE3_9?15bF2tp zBiX}k1udrtuhTFchaiTnsF_(2>i&kg2sN}l36{Pmv)I_!6zP%ht3@DL47 zFZ_TAzMp+5p-Aju*1J|=Ws)#9E>*}hSttoVyv^_mZ=Nn=&~13rP%sWWqJ`tg9S%$ z3fy)MpNY&E5uxx%?Y@Iq8_EbNXvhE43kt3@Y~YZ}c7CVbP>L8CHoZdfTGvoR+z zJjS2HQ^|SpWrkQofj=b#f+j|Pck0n*efF9>R(najlx5szcfS}9_6SnXMaAN9N)a!q z5MKEgr=O(Y^Nd-=c|I+&8;Gg3+aJG+8&nM_S(by`0N?wM_C;V&(M|m^rh*5WV_o-c zsaq=xxlGVm4v9Vdhe?)0Pq5|Yz|w{fA5!ZMVzj__<+)`dlEkGyJocXTAahT((CKkf z1fep)FFl8T2v2kgAmgXsmx$l(E&c_y*1h^}!s7S~aq#_~612@Q%!{DhT`EzVsQNE! zZe`pV42Ve5lUn`MFOu3tM4V`kEMXP}NExepeJP@}jCa~<4DHAT5qT?VjaohK{Y_3D zFCwVa$>mE_hEtHwv{}t`t+|;T(}c|<$9%s?MAfjMjEKe;+8YG!kuMKAHEFwn-NLB= zaCMXi;cyuWrGCo*XA0t*fs4x)u-*~9zA=Rq)^tLbf(Ka_oS6bZZ^u$NAm6co0)wyk zDsNVg3}==@zg07v?r<+X*jLFj=LIot+}fSWCJR?lh(8yYUfXgMk>QCVYoS@RRlkeC)w%7G5SiRy}OhDS1-CV?iAG*Y%c#WHims46j5CF2EAta^Lfsix!AA0>3`7?nB~hftp?eW6R0uf#90d zMiFR#IRj77cTt(>LW6>XcO(rDu35s%siR-{a=$1i7ssOL1q`bF_YfKspMoU{l4h*5 zjWR+(uU0+~Z)cx*RTW6Jq8=A+vL4LFIB;()T^w1pw)NKR98Z|_>B(1aIQ`1?EZB20 zsjD4iL5z>mOuBYsy&BerDk@P2Ak9L8#K3)OQ|jpDwj|BSSKNL-gj$gM?|C>3FNa)a;)zyz5O09uUy1y5>%#(C#WNRqGaCcyT% z_g^9U58@Eu_GCu%BfE?b!oG}acRxQllPH)&2!QC(VByN*F6X*4sS8Ia?idO^jsE3^ ztOGol2rU%{w0}p@g~?|Rz>+*%@Oxp&u8Wu#lF&(#+kzq*;|9_NXWV^VxaX$fY3K{= zZ5>&Zdo#g-CQFO3@Q7V9?#M5Y=CV;pdVyl|kLCDbn06~ygs+o6>kelSUSgf{=31=Y zeKNBl*DC+NU;NM?o$d6RWY#m;H#rbZnNhZR2poCL4+$H2d3ou*js-vsZTim-1_zmw zKwlwyUqQL8;4FB$Z1y)xqR?`DJo~*H&ikw_!(e)z>!K;S(t$X z^)OCX5>s8z-Aq0Zt&^AJ#Hw% zMGFPCOi|_$AbHSY^f1~4SCk1ZGiDNCVor>*9iAt3W?4flr$EX3o3JP_hbsRV^)(|o=v7SQ%p7vBwT{O4s_SA%TiOIn5F#I3C z!XEJMS9q0~514@MkaJ*i%YLAe$A5i$t)p1Ih_yV%YUNb9s|FZ|O^Nfornw)E$7Xw} zu9y|YrL9u({`>S9vogPQ?rRmyWWgJhK5xzh+KfK`f?m^0pmGq}5{U5t|NpSYkXEif z#q1D1+f;b)ydKl8e(?p@8OPMT7<|~HvT^p;{t1_UPnAwnWoq9tGEDy2f6(VyXSM2BjT{!2>8;l@o=JF^ z)oxBt+J1fUTS-tK&5xrlpNU9TUMct&wg237v5{i&M(Gduxpn1-EZ0937jR9aR)#q$ z&WRjX*W|3^6^*`qEizQ6D~)__9B27v+4o<|U!CB4LTtSb8{3R{z>S^-%Rtf0H>zQ>#@dk#~HX zglp~OpmdMAA_Z1$Zmt1y`e_2)>@ZC@Q#B`)LZ47)oaUg$V>e(hbQ$~O{BH0&&`)FC z;BF{C{lxKlCTia(*Vp^uZhxDjk3g?M#A5{H+k>~R&=R_+c!OXA_+gU7OChY0{B~r@ z-aGx&WwjQzK4B2tD*>T~LLnP9EBNai!-3OlwV}sr@y<3F?UFl-RP}11Q71630c%UW z?1{va7z~6aXMQ0C{bWHb5M#UA4d;h%kx((r!h=v7ljCJz7DF&N3iPz=sep1+Jl?3w zHe3X^d>3ojCz5bajGouy`*?Qoc9xS_0E!mCH2ajrfh-5*v0ldEg)^J*0F95GH_X0C zlnx;~9^+9NMyT)#it&XePCVm;+mz~jNksfs>zMI#mlwKI0i*o<`Eq5~rOugzo}|FN zG#V|j*%~n}WKKbXk6_%&VU~ztl@1wJMK4c(^Uio5!$VyFxn6NE;eo7+7*znM z;R_YoxFXZ191+xyO*kM*1yTmYsmkoOHkDp#AR4u2ez>WMlZJ#Q+{f6d>N08+)K#L= z@uCtD%=_nxsVDv@N(4+VV`b>b@&~_Kk(&gWol%-5B`EIOAKD9PA6-$;ahs@`GRF5c zGip)XQ5K%EE5|>b`NS`Z-%fC|FpalBSC~=b1B9_&;WR~5y9^UnCKXEv*KN~nTxEjA zpVrR&0CjUhjroirDouM8PTjck)H;+6SMf060S7Y2R)1sJn5&q*A3GK=xZ%mEmMesv z0n!V2M|W%|HV?`Et3f_*ap&gBaN;MPM-gE}Ke-S>F)A)?-e zI%cvYWB`@>Nb?`bg{01C+wlu(xK$R@jnRZ$ym}?tD$^&kxcWG@%7JB9y&BY~FF9A} zY2)`^37+V71X+t-p4)N?2;Dk4I}VIe79lvRBYH`pG(1ns$uy_H9!KQX%jI^*sZkcGjo)EML(E4yvqjUgqr>n??R>5xDzgbss zpPiv|7X4SBQ!u158fR&jk|5IC%lSm;%th_p;eR8V78mZOq`3$=zu9Ta9(~lfwBAch zjF<70VQtrWn+Nq3Y)rVFHFxk1`O+_d${A7{)^@(AqiR6gC1k8zChU>5ktxQLwRSJB zuNI0N2x?jm;vu-?pePaK47CLGWGk?mF``p&8(fF)f>JT^^>&_*p{*rcg-ga4D_#`4oe972Wz+8Oy-=8n%HOmhC z$N@b{+7?MA?X(~jsih5e$A1MR4QGi~3~q(k2HODi3`p{rJ3$f$xt@z=1MM#6MUlox z+QP2J`~?$6WWb>s!Wsvg0I$@`9Qst;0aw1SuaRhrrm|}k54jZyh7xTYdzj6dwy+H0 zxqDXH>@5bq!p-&~Yn^WC_X}rk=@B&e#6EOE|Me?x*_S$IquL)Ijex_TG4R$oEInmH z7Gv*08HQhti1oF#v|XH5o(EVXjMN!cbXVHw^?~gw2jpN1gv%N4ktjRx1;A+&<&*uQ z4Dc8g1x%~Ho+Wh=adbLzgcl_(4xejhBP%kg`H02H_@5n>8Dby?vKA*1*7e%plj0kI z(;$jOtl%&oa-AYRfXmj3tHDGUt9!*pg}bbMGi-$q`B2@$T!0jLqYul# z{>3O|{EmOL-u+*XL%qa%Wk;Ghl%e~v_Z*Audy)PKnBzv5JPnAwo zf=(K!1dARd8r<9e9Mh)h^OCgzW8p7_!*$Z=&S9Qw)ycuIjv!&xoQ$&q+nSnlz#u(V z2lqN`MJOP;A;AUM z7Nl*!tdKF0l|0Cnn@u%+)1C>}SR@WvVhdrB1qs;n7(uIr_eCW1m~6ue0M>AD>H1$3 zr|7Z+b*iC<8E!7-gi?Vv@KdRmlGS6ATTW@JS0ONY4q%)R4#|h&j+c({$l#H*DBaz= z3l%+R!mJHrn_^Kt;7V@I9=L+e0z>}_lzbpBMQO@b|79Naigx!cY`v+KauK|e(bE=Y zi4#DR37wT(=?9{qS>h-zQ|F#mBhABGp-|$33@h2Kl=J`xwR**U{CiX|QX;ZM3OE3N zDHzAxpK3*j{+^~Gsb7+XGi(7YIZ`ZvIpoB+CJn8 zuiKxn8|HsUR}BpoiOkP3>B<{dI8N8Z zZlrNI$5B&Gth9L;NquDVhKEE@a|dcRg%_{?cE)Vj=3`V1voS(!R7)b-Os7t+QjpW{ z=*`(EBb3$Ytqj8@G`+_e0&S5-s)b%gcB!_JR7>!wZQ`;%rDQiEGYk|~5@=0+hveiv z%rShr{#(ow@wVW=x&o6~V41uye_Hwzd_d8W{n<|iZF-v0JU5>}63*r*o#X%JW{KJ4 z<%FXQjA+MaXuIoqF|5-TiFk^XwjKXgjt_xTV=>n8Z7M9Rcl&H7_|ac6tHXN!5E4fH zdP(RrF)1XSBbL5mrMHT}+oqADq?^a(_{g?;EtC)E6J%hZ%5t}NS1+zSnFNo4Z6sRm z4^YNb6&xX3w{3eT{tqML^niN+_1PYZxC3Z%SezYv%=ZlN0+PQ19@(9Y+}yF`-xbh; z+s~h&j$v7EC(p%>{9^ZwG4U?5C~+(5fd7?fb4GglVjyo=$r+;pXIyYrKqF52T`7Sll?v6*)n&22fdyt@3659=>mJynq_L0h-9rgwT{ znRg8}1#Kt97W(I9`uHyAtYgrrGJQxzfGGo5u7uW`nz{gGpV>T?N}T#!ydL!Ycj7{FKV9%PlO8`l{2=y>V(Y$f zY)E_%v3m^LFG7I2kfr(sTMUyt#P3HFX4QAE1LzXJaS zxb&wXK!uDFc8%oJaP2+LJ&|RTZwA{l5a_ND=V;Ko$%FuIFgP2Dd`~)pd*j4a zOBJysycaQOv(WxO#tno)b|qBKk1gB~)e#6e1Qc*A#0Tx`HQwox4xj-?y(XGa)Lrb2 zzwlvZc5@Uvqb&!FY*Z?M8Zx}ACk&WeU^5J5O(24gnH7qzpQ*Hbv=@4VjuBZkTs)z0Li0)DmTT>Z3$|D|KtaEzgaBzM&Qd6G16v9x4D<5OBg_lUq^%?5YAB5lN z>cpK1&_v@ZjXO4L&(_}Cw~&#`Iv;rzh>@Of{G>+-x*Cjl2q@Mzq=l7cU=X3NM%)%r z`9XW4SjlU^+-Y5=5HPx>`LRQJdG~cRc6dJ%9^ik7cIt>GyR=MbTfst@D9)eu+;RM1 zUnuU286lzLqnt*6f&1n#zIjhiPw{NEz1(1Z4#)+>N*MHZqFc1bqykb5P(ZKs?S_6jl!}8&*xiBNHT;-moQq8 zkEFld(|su*YrqYO*^`SI0^Dt?vBzgc8;_Gs%S&En`M;H%vW!;(F53canv@vAR4%Mh zTwr9N3#?FVf}0jSKiEBu2K_FySB6_*ZUz1;+$XMKyKUv#1HKw8mvc(Fxws&ZdV%a> z!&QNaN2wdRHRx+;%YZ^(C5D*Xl;u-RM6dS-yT|Wi*70 z8OJyssV<*Jpk1aPm#x`O3BC2i9r zG4?ghwd-zogYFUN)I8_()EU4LBvDaVoC0v+?{ssS$`9`i7{fPS*=F57v2L9W%(Gbn zj<{6Aq6=j-z)7z$Ym}X4_x?&6fRZw%;-G{3?BxSGs}sTI4W)b|<~4z1(V>pl!vZLcnP z1%mD;BuD~fQHQ8Nf(=h#GC*$n@jPzE;^R%q%v*v>_GsQJMN(+?ICbsNr9v*py(%vb zwti1FJZN{Q@~;^4njll?WtVN+(daJAqMCb*1p-ebW?p-}DSdP$rOAQNAl=kk*`OvY zHqX{Km-#aWh6=>v5CEZ)Ay&SGppUXeP2ldHn2EicH&===pEX99X~Y!6TIUg=@M@aq zHuNn2E^wDy1OW-!AxKg@cJ@l=|m|*taig~w6||CRMY`11skN*M>rNPy8Bjwp+I+fcW05> zY8CxWB66t!!+?C|^k`+=9^c&c_dqp&)RF0*=UUhUcbr`Ly;$1y#)7DXbJjbf=tpR6 zNq=Jxj%&YtXJ!I8<3%V|B3571^0R1G$lvTtFBft~N;olah7%zu8l)6PtBfCS9lM}z zYo^O4$HCarJ1KDn__E_6Fch>ckw+xd{uo(JL-tyK3|i5JW;COt2UlA2qswlK>IoOq zm1CRH`#?K_G^r{xV?l^$urk5*IGa5*f2dErA+AQ0a%7`~pkZb0JDi1LX8Cjhdhnj3 zr*KGD6A5^^8lUv;qoOzdXzbay^4hbpC)5y=2_}^2cw%UJbq+vgO{zjXWK82gz}mKh zuwRMr0hlw+63r~>vY@2bh^!#!aO(QXL^O{uw1gwXTk(u&8zZhI;-<%>n`@)7w5nw6 zF3}pH)!do7NfI^fl~2NfTb78$*lKDAr*OpBUyGu9{_?UrhH>M8Zf((wr#`lqm7|OX z1E3{&wYj$r1whxYtvLh%#vlnl6a5$N3#?C)PJ%5$O)*zrs8+k#Cv}3cH;vA|;(Xg( zqK76e1eKG}@p4sC?x-CU80sjJw?6`)3SrT@A3X}MXX4jJ;pL9c{!%O7`5|k~ih$hG zA4Hl1GU@a>r~t7T6+HVi`1O5!U?B4Xt%GxIFG>-N230Z()&wp91p>|-()M+6uKkc< zvtOg!;DAqc1;5WmOrOi2`z=C?>EWB`fpc=6}+MZaJ*I@#8x@3UE54SL+WsFF}3K#@vpAF8`wK!c3tAEPN4(QvuH7WIPv@j^>C7`FhI>!DNbj}8a5Y_#2nQ8mcVV_K zg%9&s^l6&bA1}<4zflKOHJTb3u>&xK zc{e$QVF-lX020KShX?)RsA(S6*^IHR5*dt|qBy-azo_Guas10U7U0N$5tM3(`SyB})xJCk@n zuIxqR5XO5+TBhN<<0@F#9`kfK*cXw|_iXroKArvDM%1*p-YDgGF}6gK{RiweBzp$H z`e%%I2a`N#^-&TuJ)->|`hGB&enu zF4xwo-ha=0%TsU?HGF6VkQjQw(#%$rcHnw&3+R2zLih_-0X`_B_1J&8elj3!feJ*- zb+F!X25(Th3rDD>m-h<#0#S)HhFt^zby_PYznJQYvi1NKKS^`yV%49k$^b^@~T=dxoU8e*NhuLO52Szc75c z1dbsXp`i#<*ryA2FfxdnI4FNC#x9^4WWV@UI zs~9?YjNJVi1DZ08c{?w#@ho_QTW?AW?67?IBl}t*@Ve;vvF4Gq<8O1wW)wTy zI&!y|!M8_=omD}?&T{G#{Cx~fO_{j6Pk`Jp(BJZ)jJbNK0cmE#f`9ptfUOdr47zYTm)O9Tgp# zONzeNu03&Twb+&|6^aOiN&-6*dy|=wp@Z=jPFcM&@wR26Q99eCqz+<0JdJH`c=Tu% z6pRXqCm<4AzG6j28Q_GH5}-i(PyypW2Sc^HMk}ZGgVW=*va-&W^#>cbT_(!|H;HCDu-=Nw~BYit= zy$On|m}7?K=ELIs;t25og}~rko_`6iL0Not zMW4$koE?$gebV3s_{I;hOdL_4J%fGr}>kq=fu&0- zZ5sP8*xF~bSRH{@)6_HuV+5oPUg?LX`5%t(H?C{``50`9dbb&Gj&ni=={FhJFa&X!}qr zE@Av*?}kZ!{@=yQ(Ulm-OyKZ2;JVvKZ&ca^@$j@h% zlpI6lRyVli!ppNty47nl2G2@8$t}rgul+paYQ4;W(Rg!_pE^GB{v&&P?E~%1>a}M` zK@R5wl#Jowt3yIV#WsY%mt0RsNC>Zpe&$TJYe{@dkGaDM`?T(!o($OWqC7%2r9O_G z)2AQ4w**@pPAl5j0ChR#ph?|dw^Kpkc7fyF_=)ZWW>3O-yGxD-1~2V+yj8(D;Q4+f z1uKs*vJ%N7ti~gxqv?h_zE6eJpM&fA&KcyebFpC~V zoZNY9=Jt%E^$k3zT(PL3S{r-OmTytVUfBDT#Xq-+evXH~m1`*zDw(ONDQqCnQs8Ig zI*fE7M=Y=mm{481R0Oiz2Vh8;wJB*z_kZV*xv={6vGSaXp~0;e#2InlYF{0{;5LXQ zn!s~`?fiw87u$j}kjX%fgY0eAH*$}3efo5JbZiWo>Nq}QWo6|J{QSl+3dJ+o&39pg zNPUdlJ`i2&92?%h$9zii{$f0n^ykmjabVc5HS_T)Gib<7T-(;-I&2%fCOBqTYw-7u z++WWUx6FLLt#HZdoAv+iAvM5CIS&A736hKN$l2d?EryXEc}K&;dNW+m@g2aKMd>Ii=fJJ=9{Eo94P|3K z{QUXIz;na;_0Gd>b%FyUBL`!T*)CId>rV`6lT12SU*N)1ffW|tV)NUClz^OvvGpu0 z65qS(?0QGpjvji;mVMaZ0Aa&qw4jt}!inG1**P*kz6fj%^&GfJ2W5e*HqiDiuGlq<-LG%annL^ zewjCYU>!DNOq1s|*ET+J{#V-QQX+2IRi23RYY z4GPnc>}-ga>*X~&wS4QcPr{A`eX^#Tt-hVg+ArsHN~XH*M9xCNqDu)yfyJ8&uG`kP z2nRg3Y}ob*v?B%02Vn03OSym80Uv=hFB&ZnrcChfMD5T!UYeuZb1G$YZq6GkM$w-M z|2tH~C-J>;fa;{_*Ks`9pUaT-I@4lx3|46XIZ+LwrOrbq26why^(ivAx-~?%ZpF|j z{C%7`P^h*eL#bw5%a58+(I>*7XEdUW)C+~i)pN}bNP)PTJWU^VY@ z`F37lVoD6I0ZNOYc)Qdf)(NeD4r3sgu~(^kwHU6_$|`=V8qn3(|)JySDD%mctxFT z-gCj=%!Tk*waUD2J9c;cuE-IRlB(~IkBW#$!S7Bg4$vil_`t~&=bMWMjhlxDs#()I z^xaGS_u#*E!#-{z5fXRv3kn7>!h8VqrwPjagoK2=V`HT^u%n^>)+e6+IJKaOLGAJZ zp=u`LJvCZ0pm*m1TqgGz;4>gz4o*%@Xq2)N68Nw?6qV%kxE3#n>yC1xrAQoY`PM{V zdbR*z;V?UjwEFO>S>pZZi@;F(dZCVUPJa8n7krWbzK`k|qPMqK3>8FH)_#<03)M^{zX1q6!*L#NT`;Rz&miv-CXqdp*Kr&*J?lbkT0{^Ra_#4ivp= zC|Phw-)!~kwRc5aRPQ-uoepggycOTwr84q)N&VU**8&3K&GqpbQGFTUOa%3U+~|Ps zZ~y~iQk2WXB_9v0sEcN^y2xRI=Vyfbo8Z(^zc?T)r|8qfDW$%8@U8YXT7a2wmr z*9;MjUQ0*cDG>D$*5+fzw~YL1XT1-Vv)+q|@8ACT3pGA&hpj!W z)qVT+y}va}+p^SjSVga^s|!c-$=R%S&Fnzs#8b~5FJ3gkI!ikAw!gZ2ZZ={)KYw#W zLl_tgkhhQTUO)eto|<^xuCM9}Fczr(l-IHL@!*YZ7dDH%KW}YqT~%9q-s1q?Ga5A8 zVij~8Q98`*?2)+F^Y5yBY7fgYg^E+ZD%a+;D}8L~zGl#(T)#G_&MsPY{=;+DFBJc> z`%!N4{6CdPUvN8ejb;AtDZNV;ivRa_7dQOBzx%)U4ES4~I;Rk6AU3R_kXqZ7+%_Ty;|*LVZ`ZoZd9mGA zA&KFrhskG#+`KvPHGuykcq-%gtLVlRO3fXv^~xT9e^tbf1P2AhWmmj;lLscGq4EFM z-j#nfd8J{jwc1lpwSz5-O9UcHD@X{7Aed=YLL|5VEoxDz!2p6HTV)MeN391WC5i+P z8LAChY^Vf;2mu+CH3>r0Gzg;X97K^IyD-m{X=l!v{sHsD{KENwoFwWA1Q44E3861q4-{iEeGZ=%l4*Aaa%{*jKA3F94|{L?3bVHcOOxR6^{-b4}p32D+f zKP^Wy>Y>okP_}XM(Ilrg!zxq5bLr2XJu`dr1oqzKY=w_y*-&p^pMC$bNQX}5dnc0z zPEOVMSn8)$OY8W;sI^AJH}OIi9x*6wJXT2me}Tkfl1i`%_FN+$M#=l+1hcN$4~p{JwN`#lbdG;m!I z=Z}#B&G`oth}fSZjowqBw%Av?OArq2Y?gaOL?Lvzo5VNUyu7^pViVC|dMziX+5j%; z&CfFRJc(gWjTdMPP)gK4PklwO+g~}gvMA6l&cZ1r>T2YYoTlnFJ zhMYwE$icry;kYQ!@8AcPe-OIsgCI>9jA>czj#Y3OyNi!z@4gk3rjhvZqo4|>0K6h6 zl=WE3bK^=MOHm+OZDB=r{aMlHJYP%wMES|R3*IEWbCJ&;SvLp^8<i_mmFF!%B$|z&D!S2AIDqu8LD2-ukqz? zCvU8AsNpZf;fmUEXDIJDt!jbL8F|&G=H{7wk9D5TMPB=XO)aTg>@hOP@#ZD6>XxNaa(L${lJk@fW6|@^ zdBgJ=Rn&31#oM3aJXhXb)`eBGmicMGl3!;HGr2mt4XkJ<6mOBY(c?Z-ofhVwp>zy! z*n;>Dhvkf_=hZ@LeAO1VrZO)iGl{|(!G9QU|Nr)<&@jDt?yT`w2~W(Mec$bHV}EjW zDqs{14t)U9JOQ78PJaXZ!(*c0fI1#nZ)+AWxO%SMqC{@bKroAX_m`fY*ARUGk59lU z=ME;(V;~VZj5fag62FG8RxZ9zI;{${Rr*e7@0$(Q-Ju`85qj+ffe36Os+S+bOZt>cRD02nQx{kS1+ap^(oa-?NFtzQNJ2U^FOiA2h|8M9X>~DTq-Fpy z-I3$Kg%=W*N>bA0h8<1pRbsU1Kf9prFPnVfT2d7l;&vuT$rms}spH90F1%rJkTSWm zTDSC~D>c;jR;SC5iRe3op%2@pN9;%f6FuC>e2qy^OfT<{QzTqRTWeZbq1j}&UHNt3 zYl%Q69C~=r&+MnnjGZC<1Ova_+(aP8BW2^=2BnYX7_1q7?_;lCC_>joPS>u^dO*7Q zozMkV%^}iAZNV?TTno5g!%5(lNm)PPR!{^r^|Y(X3hV(#Kc~h|3~|$hx7pPhDAdRmTOF9 zc_g?BK!&?qpzg;v3Rgza#Cdg##&_0DFJtkj3;{(}yU1QJ)hqKhPBxLOVhSjDXOcn8ZsJCF!@Bl(+{(64{^ugBCK7Icp&&x}kdGM6ZcSEg-|J zoDEY$)HJsYTl+RXpPzvdQd*$2750x>TMr{`jUsgbT2(9t@;D2|;h_e+wV-OI{dJ`e zAcb$Ayoj^X4>WH)}(i%F4eQ5h@kafbE|;N>_xJH@^@px}ZF@JuHs1-Wm6)Xd zU?N$KtK|3Tzgiwfs9FGyuZ^v(LpA&%$%l|Q8k9=b^`P0g5thLQ`W>wy)yt6&rBDY@ z!?^DGsd*V56gJY(-5lkrPAGKQ*j5$F-$SkRgXA67adYr z)g@UicZ+ZQiL0$YU0k-XypvhmMmDxpSi_%I@CEUB5*jC^zE+(zx}_IfYxp(PU{SEn zH1=aZ>alChzi}a-0g9~Urem+W*21enukn(FY}g&ZqSMH4oC#ndxlmg(OLn;iE(idd z0EP#I<2D=9=ytK6JeP5!GoMS5dq7>IK#M>CpulL*4HVYyqh5CdocTV;2u5S)3q!lM z+Su8BW@o3?(f~IG4m20u2J@@{dZVoLrWjNnePhiBq-ht;ELgWu?6Eoa!dr3K>1$AA z9&TFXbQLr_8IWi}DMg*yb!KYKI0GBFeaM~N$&Bw|)>5!=VdnTwW9Bx;;06VC$i#Hh zoDYufmWKYMechG1Uwkh?k3-fAd&85_^d*K; zs`6>3o7*frnfhp5C1w8MazL&L(hYg&Jth3V+wUi;m^7O;?Z{$;si_9~Tahq@`jc$mzJ&hVKNj}n?AfVE zLEG;O`$iO2tHHw9SlEHB-29V{Q$460<^m7xhBc&9cw^a8m|Sc@K=Zc6`yemxAOR>C zhKUwhys#c}2I;%jasipZT9L6LKs%L?AXkui7ozO!3am~(xHk*mtDzK%F5Q5>>;!W7 z2BsDuV+I5`^f`%9?PpiBvCA5CBWp^I~{wjxhfSAg_bAD7xwz8E}-#)TneTI{1tuXt;MGYnGsq zfsXSffqHNctyEv__10#_6GsUL+UusdOioXvd8+=VB>6?0ox7ep5K~QRvu1*T8?jN1 zl7jgrhux;DimVS7J&DeRIsgrswdmHZM=hAw+KoE4a@^M{fUs`T0B3l3diwIfvld1= zZajJHk_M9M0n|(@(&WdHpZ(GC75|Q3gie@`@QKYqb;DR9{Nh` z9RRip%F|p3k(#D#&Ft~t=HTHCD4mN+qo}mB1;JPtOk@TIo@Ef=toqd+Z8=*C`m*zlA#F#l2me*CX1jTpyZ4a8zd*mNuUV=5)_bRLO_y828n`* ziX_Pbk|byN=6;@YzW3a}x9a}5Ri_FgP50hw%{AwkV~n|@w6#>u5nm)mp-|`4RF!U_ zQ26gqD7*y1Gw?t473n7Mhon2k!2Pzfjk~8g)*5xg+}*{&+1t^rlbVWc| zNI;CA)z01B#Z6LB(DDDiLckeoE2vq@p$qRq-zlar^vx>pb$*qG=}$|f5Z0{$Y|dEk5`zdeGDhy|DUhmDlx~4`G360 z1A|73|M?^97ytJy{(Hs#cP;)CD*vCZMVhp7;lQMd+`dkrXWqTH4aYv>S-r}+dQrKMGC8R0JZzfDSz>)30Z8+~P`P#U)vY|Fu z6&=iSG_O*(uMlpYc01$42gy;75yzr8Z^Fi$BF3EBi*)k-E;|P@JcFMK^enlVF5$-I zE;*(XsI_VHxZNaN;>zPi3nHD6;bU(laOIq$-tu_x1~I3|)hlX%CG%E>lb)7INJ zWy0WMzJ2?)>8XDZ%5peywtDY(M%(nY2R|lC+nHOAcE;mz94gVXmY-rJa*qD~>=v@6 zk=yIMDP;GBwbeq{?{CvtuRq0w@8ClGj`!x?jVyD&VWBm0!OQLE>9N@mcC3Q$NUyb0 zN?=~wT_w)LIfv2z)(si2AZ-yMZOJTK`c=oEZ|Z;T{{8#!{PwWPsj08BPuc_n9&tbO zqww+HDcEokCyi+7Pc>e?^1CNJ&&Q$S?%Gewc=O&&i810Eh3mpsNC$R$GQ`eLx5uAF zjrwhT{=4V5yHyhSIMpR@AcX9WYJRG7W-uU)(LZpa}`*z%0*$)THG z#ueM%9`EvpM_YrI6OE5@>!zkGP>u0{htno}kIm_Rf18<%U{Mxl{PgU2vygv{7!|9` zu~I!vrmL?XV|_JX8SZ&wt}mi{w)x?p@!5&L=YD!N92moQTP#Y=cK=QypG$<%Y2Cj1 zR_0)--0)x^4kEEX{`tVdy9a{;MuA6Le|_rydP!GLhBJ^yDd~=Unsyz9_u>%{2#0sI zPBjjPAkCbhzqMo8{p51>_V5E8ZS5fYfdahwvCOT zFT2m99M632)%WPHUvG_KyD!hr&udo{@(>4Xmp{vS`I6Y9mWkHHi%rz|S7ycdTakBn zN=zQ_ZOr98e~u!HI1Lffi(P_ydh07Jw6_Yxti4)Rf-#Wyb>o*d4}anO-Yjf@|QT9ncSY-Eg^{djHo^SwQ# zx`u}D$3A#->8)?KtG9mKgAdT3=;ABEcbUo;hTwb3Z~TGkdIVY93$>&;`&wPzFyym_ z-`oGQ{s0gEu9WJ9f((~liMff#V!s*#58DHu=j7nUORsmh?rg-E93F%ga}1&ru!^CbR;N(Xe;ZHl4)q0u!WKqVl$9 z-&Fl-4kjScHZh5lTK!0AZEgMY!$ZC&0>;tEKdVNuBo`SN)_&Y`o~)V6mb&koA?EyP zb75f8qt9q$`7@g!2|K$h7s9A2gy{P+jZhbQP^kPn#UPk)* zg(z(Y(G2WFBVMWB)}Qb2nzywp6x}vGX*oS8Ny+3VPiWRCqm)|Rt_Jv@9E|HbmRogF5CpB4KReQ_IDGl) z?Jal7tTH%87@fG-2gv1>ZNFm5VD|f~KoEqTek}I#N9|NJAJwxyZf57vY8|}iev9|U zZ@uwct{7zA@Y?AMJid+h{IyYy$SanA(@UN3_V#ArsTQHV^Zvhm50rM6` zDhqb~WY@gkzH;4!T&j=a2|QXf)$2A5JbL(j{r7L1HV09@R1=@##7?VLpPli*hEwu; z!-Mr)Pu>{S+`3kff9sOf6b2i&cLofZuAR|OKnQ2Q(Nx7}Wo2UJHq(Mj@F2Pp6_u2U+^UY_n zOupMoop+u4b1_A)UsJ_%Yh^~NC2^S#m0A1$QVBQLx_Rmm3e~vaZX+Y+_FI#RmNtfk zmlN0jA^6GVduKwLf}~ceuU8z_jvon7VVWSoJx2XMU%OLTQ4wYNyi~h(b=7Z9s=cl+ zdo!WOwh~ zYwN3aot|))EXB^MqZ&t?8y+jMKY~Au^@azNgq`8oAcw%SeuK%Y&g8or_MQx9me%xV zvGLYiOpK7%U$fGWA3rhr3g%ph z*jj|zAAi43ozA1AprCN)6CR3`L6rZ2p`+vFy15-GjY%`T4U& z0$kXazxUS_3kogoxVj22dHD9Od5ly#ep%dlneIRzz95IR9KT<@gG_Pt>ea~hXMXEM zNOkkx_#I^pZ{AetIHEg19=N|yxcj%|yq;q}zgUe^HN-`E_0BI}^QsY7NF2Gv#g`WM zEcZnHApNQq4tPPK)9YsOp1A->P}rnq%!!Jcda`ck*X=huGf6j@+b=MN4+kujw(EAY z_;2=4JCzqA087((4FJ%E1^0_`M+-O0vo-Q>SsbRx_=;+BQ3f20jKBP}kR9s{n3EZ) zIw~ywS06|xj$p+ZQE{?1^rUBu{MOpM_GVM{-i{R%a7mvWZlsAiUL1AW(K%=n(j0I3 zcT2*_n4$p>OhU@XNHe$R#mf>u>x=MRtG*l>L9cW+iqhSLY4&!0bg!L1AX zY})C06@0d7LGbEM!wD0FDi1$@tD$Yy_XmcAu+x%obV&Q;PNd(~{Ju!aBFp&SpcA8` zt*;+3_biavr%slykdu~#R-iSE)+7?aoJauyWEvwj?nf!ua41s0k+oX1UhGuAXLGm{ zcp`@UC6+~w87dL8$I?&N(RNp)7C(LPwkheREOIg~-7YZOTc7<|@nF!kYUsAtk~LjH z6@u5CYG!GqH@{r}S?$V!RKqk)uBFi$N(45nWsD!5(Kmib9UT+n+9$I!krTm;)JUPg zV?T$V@9;|Mwl79UM}HWLFezzAka8Fa?Np{)Z__!k(V+EptiwpZ=489vv9PGa&!Cgt_>;z! zvD&rY8P3FWx}M0I^69@-f`klfWIDN0yZUK;w!742Qn9o*Mc*U}$^uhK!?9%jdP)fr z6$@o`koKmb;I>0(h9SUA4pO=oSarx-vVUa zl#*5!A#IrnZ-??sS0FfPNSMygb>nF$5hd5eT06^Gl$8iQ^bynBBhKw`K#u}em|BE1 zPns>!@Q0I^pA`@*`xKUeo2A=jO80k)DCFT>M1r+O?e5uleUhcg8$f4g(r?i%Ux6=#8!Eev`6}cd5ob zjGcj>POA?_?jmh;W@NWxlNqWbZ;#EDPmdWQX1h~ktf43BP8DpQ=}dBSvMe>2@Tk?3 zgX=5gXqQx8-|c|z`qV!ctZCXpZ=gwo;Ntr2iW2j~-L*7vS9SyuhqjoHy0n}-8oLG` z6A;m^ihSB%_*vLWPWU`SzXc6bMGXxSX0Hi6MoD+VxlA`Q6KL;VYiq$vuUuf}K-RYf zSsv1X)Omo=`?Zuk3m8`Np!Vs7RVQc_E>7$m+Hjiq z{}PG+%R2stHv9keTJ#D9Z04~j6b=*zD96&VWyiN!>~2>zoO{-Hws0V-ErvF)xVV_b zw+GGz_P-K@v@B#yp*<9dfh}vEO8lp$kh5)lXIcDMvuhXM*8W`$JYo0;4M0`NEiJtO zmDO5q`w6f(Gfl{``@dO}0m+&YdvuSLlT%WxFYg>2?T()unf`;XfJi}2+zi~ORE}ee zikCa41E6!KRwk#qz$Tr?L+Z;kJ_3vDtB(khht<8dZL;V|JjW|lfstB|q}a3NfIDRYwPKj|ll;h)T% zb{tOd`bsP`eUn4B&)SdzUYPAe{P5w!H0YCpn^?)1B=O6KNJ|D^4HvwBPZdGN^r!6e ze`jSVG&^fLKzW9Rg%uSQ$?NG+^YZacZtR(r51CcmH7_;zKo#RIY5c?s6POg4PyOP< z{fO2}Z+7!}qFqezBEke|O4rZ-TS5NKa7pJ~h$iVjee~XF9Y^RS;AOO-W&^Lr0`yz^ z_uu|IV-Zjv?@5#4pE_gT*sb;=nh(>A6sL3 zH$qRp!QS+4jyl}CI$6z&cPIZ;YA&(=5l`YKCA0v60d>*>HyHvAYHzRB_bNMJXC+S|T({&RQ#jW6WP@D@qAsff*YR>pR_^y`CNr$04WiI@Y@Hu&fzj533c z_h&<(9M{e4(LNb#9|nq>n?5qH@4Rvmz*8BOhuwg$JmtsD03A_)(oc3yj#+>^@c6d9 zUNGKb;n{}A3pjQ1N>K2KFe>GWj+ebltHx%8<5gpe*TPv zWI+y?9>|_^(#+?bJ}hvJLLfrp6FRc|3E{yylejlXMZ8I)w96Rg?PlTV;X&K)BF+dm zk_J>hAo$NAgJFm5u0E~EG*W{% zuqih@6iwHBc}sR!6sOuaz1C<`-ZZztMiCWR55zm*yw+(~_=^EQ4g7ubTdu#g2>s7x z52Wdm%p!aI_%Vc9NSno@@At!+%;dR}E*!)wu}3QBsd6Pj9KyMHiB*)G8>W!I`y=HG zrv0+i$5`b&@l|wJX~M(x|HOJ|`?QV>a@^9x%+r$2Ko+GtOUBrUv>BC^qQD7RB7`aQ zEILL;q$sZ$oXYdT#Zs>|3%EQ4xZjlBvy$6++DVX7Pfbmo^Wnoqh*iQfAw?x6D*pa5 zQ)|`t{jmh;nq0BWG8ch|jCr@sKzauM6dq74Y(ilz=B50MWF(Km7;mYB470JREt)0D zEhQ{QDKQPFF6oxtedAJN1awI*C1?m39W#-1 zv#JsEio3!Vt%NvNO#8(sB{&Q@0}GI^LS3k%l*oz0LJhb`Lf2j0^_Y2Bgv)4X1=*u5ok<@u@BTxI3$`U z-x-Y0V$EA4FQkcB6Tf`*3K#}J%VB_|Aw_I&dt4P0%d4o+OS$$P;&~%52*mT0E%So9mUs4{sMI zlgG}F)))z}Sv>Uc$j!?;-DC!mg5rB1{y|Iv1~9k3NL&Tq*z`{W|3~|hQvMm-v_>r% zk*&1!X~?urRkaPZ{ST1iqv;G4(@muMZ!<}$MO!p;NnksZ=LEu6vTR41$MyaLO3k3# z-4vPmgZFJ*QK#5IKqqAVDQE+bGkxO5zY52niscn zfzUhHSyl1%l>!#vk(CHhL=z$5ukHXGAcBi5 zHPEasNbE!d6WUg9T}V!l+-*TQtEEGh0@*<>Sp%a;lXaRmpCn8%*Wa53E!%&5yO?Uz zr;hMm;f8ANbHHcA&N^0f_i5<`F^&{H|Qt>3?opojMNpAp>zq_64Y zgVohM6CmlhT28?-v7@KR%NiAPbp=%7S|&ja2x*zrCQ^XA3C&4ONkKFjARZC!w&4aB zCB&A4CaGb&!Y4v9;xHo)iLMjv^{FZQ*9GIeP?d%!!ta zhgTt)fI(7AA|@ul7IKLdyFz#?eVvIQqaIqiGw?P8|OoV`6JvJhX+Y&24@T}K(m81s83H08cteL>o+-3_w{{m)Uyl?m@uJCCgd%u znAcx~wd*f4Vo$Af&{-+;Bh@7adJUsRYi-P#r1l7X1!ETxg#Bp;t=eRqUHOAndW3tIb)nRI4^6QNkHCcq~ z4?|nH^l9{V9N=?8XrMI(pHq9O7CpB{D<`-`gL06LT`3zJZ(TqtKacu*GNXYXLj<7U2pdUgQDmD`1pK8vcj&H|A zWt*)0+0qhN8Xz^H>^b3EQFzk>zsi-4U1G%jO?@u9&)&|l@iK? z701=8(RcvDBo9Vy``vg+oiDm@80`^QT*hbL z@9X*J@tAUCX>l_eU<0k1gvbdSAw}oqT_=qH#vEn9$;oM9)3Lwr0~`+EoW@BPRyxw$ z^77j~PCR`gJR||@dwJ8}!hfAMyAWf(Pngshy3r@c0&qg+Zo`Wg_z>4Gt)p`hK~#FO zUNcLQ`qiB`Q@0o)p~ND5DX6bH{=fZpCnMHi4Wruu_Z!rDEDKlp_hV=$fjhl*S)*{E z`f$BFzM%yY^coOaLfk=>AGJ)hazo&tfku=cjDC{#*+wV$4hX4i*TbKKmW4zZHGtJO zZ{7g5f~pJ44Dc$l%>u#uPEMb)WqiN<_z@1h0o&cSe?Z%0HG5MCqhZ-?wG6qG2ix*B zREd?`DoJ-5bGM3L#4GXKy?HN~=WKQN+iP8sx%Ie6%t2z<?A;{rEEy#^+%SKmA#(blx39ltM1^#N2PX$O-)U`e%KCl7~s{1 zLvh=yM$q|Ae%$Eoe%gV=FVYR}qabI0fTmy)v>SXBLMa1=-(B%+AZZvsk20via)K7= z*0UV2>O0=@CFgqEw0TQ7(zLyN2rcpP-w3%0pqKZF81Y(!Y()S*1^)w|0Pt>litRJL zsXkqlr8L9EzSitiMKTu$New`E5Z-BRBcoWjQBa*4?^m1(BG(4Zu+;y+17H;VAJP** ze-zMQ8hLMPYl|Jp4HDyOWVg9#lZG52eDwG^jU3|Oi-w6fb(`cgD&CDNdT(-rX z7Eh#a&!h`o&lz8h7+GFfb=tgW+qIikLP{@!-x6`2)-YIw5@&_zHIpq7ElyP|4~;Q8 zfUyKKwN0(hoM$G59D_m(53>979E{Rl?*@l$wQc~p5Jw%+^5|f-fo1&UcxNq-5?gfmC%E@w#TT)sW*)cJL<>N#Qq;N|6Qod(d34;23WlJ}o8KV&)qs>Any zcyX1_B~0)?{eoJPr={zD1#wf$q)X%6hWY%L9H@OkBg-^SMbHGRqEErugmC{hI0z_} z8k#d`R{@4W6|_)pl4oTdm7e*SyDsHzql9JZ+Tf9L3WMeD?d$4noh#Lx&?Jj(u}-^M4vj1tJThvrJ`JVJUj>hFent`KR3er zGt--hxk^#mF{?bqIz|d{k0&l&4oXERxU7KX4<&g6AQG;FeN%><5Yo#_d{x8DuTN;c z3U~Q`m+cdZeX0<0CQ8_6rUN$>a|$IxQ34Q@u+HRJ#d2w+X*CcopJg~EYx^GN3HieyZOz<-9#pXbz!^+f=f`@PW|XS zr+oCpRxr8yq-gb9C7@-AyX#wMbFE{Kgy6rIx_cZ%Nx1JqV-Bst>pOgaEy0ANm_u$P zkXn6w)iTK;F#e<+!Os^*#2T64YonH@B+g(=wEw?M^_Wak|57VQrmXEs->$nSbl= z!I6XpE##q~79GOz!{1^zi_T?fMG%nCpitR<>zz)vmzVei>Nam30#&G&;!cU!w+yspl;dPy-SAq|t*B{;jTPH}FwOz}f6v>JJXi<4VEc#O>FK|de1Y*IDpgEI|X zJ*tc;4xm3mM!qv|X)ObOqM)E4^Aw<6AZaY5$s$^yT^rlZhhz)IRpS2m?A&8;x`8%$ zI2U+qd*>O$#fy;iY8}Dg``ZqnIMSwh&8F!4y!i~$7P038V`JkgQ+!k-Fnxc)1ORn} zX&?X^ulb$VhUL(Pwz@%urV#J}>j(q5fD0lztg&Tjtf~D&4x$$-ouDfQP*qkY0_tb( zyLZ}zB53taYgg!CA?HA_!tYR(5#$Xadg@USq22k27Q%=Y#c!ns{1!HH6jxQz?31cw zyoD(5;W#C}yKgTSo_>y%!;M6%uiHtz`u-AoS*NjfsUWfYLZ^2=bxG0c`?s0Xm=$3O zo?n0^kNZEom-}0YjH5c3^4?+3v8(smiupKOx!3O+4mIIIy-fSj>sB?89-7kAc1V6Gik2`~O zet5jouv z>EUx{Lddn|C3xxI-+j|8jLE%l#KoP?kH(Qi;-e{oX1*%y-(ZhkYEJB)RQ;RS#{GdF zJ(s$~3jtv8Y+lBag+6S5_S4FU)Y%=x}+6|hPZ*cz9$Hd@cxUtrdVfR;S3QYA^r zF6V^PIHe@*^Y6@VI4s~}VANB^0;TaQ@WlVSPtCUXh-1|xXty%5$GeuL{8?J%d@<%} z%;rLLLVmk0e%nK~bzid~uReJ2;0N|4+5CNn^*z73vcSs?$6F<9fTb>?5Fg8^`@ju^ z{I*esvvU?XJ7+rt*u3doc5Pa0%A+)?;@d-DlSnUKC7hj|ZKlamMVo=hx#a^zr1kT4 zxS*#`pMC*%EVRkt;b$N+U#=(2tV>Y@b`1TihKAWGQ!4aJow?m5%X_tfWn1>IqA@~pyAzR{?O0)-*0hBx>e}rs?er_6YHxx-o ze344*2=hxJM^S<*3hpjmidPZHQCn``v806o|2jZq{`IqJ-%s_7|W4Bvm9<(d#Yr$&{Rei2{;oE`wi z(#-MXsN%!KP#KKQm!YBJu8T?CtoAZB_=y3GWD(?Rz~zILI2I{R1qEk-$bt<3(>0_^ z>NJ@w93eF{zfM#%qDMj%xNfBY!uO(pkY2Kw>34{J?0y^R4wf!3WqHLQRpED&W zVe4PcVe7^}+`nleAf={8Zu;I%r}v>C_>QTlsN6?XhHciS+E78@xl~JeR%i`q4zV_s z!ifPl@Me+Y6+m91z@E!s^{A<+pllwYHzUo{{32j%W#P?FZsu7JJuglBX>?m}{)lKwk&&jBeU6P>7 zW;7_frw(doqB2Dls=`hFp3U`kp1v|d`DDxAe>?%yoTAC1#aaLbQ*9)Gkdy8@ruHnL zp#TC0H>lBV3bNvxWp*kfr^(-5p=g2g0kxP6(G5VNg2LWmB?9mQ8rN{G!Vm~9V32@F z#2EgGW0LwZI?AuE(=z$a#j2Bxn1ZCD>6p|_QrLgro!_XM9E^L27AER6%9Gta`|eZ_ zKrlj;r9a6n@dX7dRMK;L)e!`K{Ws!^ibr&mD5=zLN+cyfT)tREWE@a)vQs_%Oy z$Kp|2H?r);7Gn;MFOxe$BFpXfE2hA@OVMrWH5q34ixzAcXZh~DZUpt#_Yfv0D7%3t zNl&3~1Dk{?(zhGSH>XrOXag0Lj<06M%fr(MCrAi6cq7Se78fM6*Sw4(X<!r?Y7SNiI0rb6Q;>57mVkfyGKLZM~* z`eW>X^r#>m8I5|-G^HoPzNR$5AE{TrW59~T1 z=Msq}ba;gB-NizeXOfdx>=OEy* z4ibi@x2h{#5~jrB?DM#v zoV8U}ViZI^=n3shnE=&+=4sXzSc{J1WR53MQ1j5iJ?Gj6AdW`~f>$Z9J7?qDGrOz2ty;Wd?+y5&{fDFuTo4RUkOzNnd~{j|5D}Q=L9PQ7 zL4qferPTrhCof(oeN+aK9VxU!Ls4K724awnia6@QXG)E@xV^_SQ5W6Kp5uwzBQ{yA2S zg*O~6I~yiRg49PcX(E-ut6R@q)ItcIkoX z->DeEsc;4-Gg_&ZnM+W$V$V?c6AtN2yNI{;xI*&^av+_M845aJZCzb-YXXRLKp8<@ z{#OE@m}m+ScbNzxzpSc@b9>Emnir=ERQiqNM>skqIjol#SCY;#aou6=h};3! zubKumm4(jZ#V>^Qg{q~co-q~(JiF30%FY&{z6=zof%07Xs8-p8qJP10f>%EEH`QJC zL58rQb_-#gF#+SAnQ}XCE$KX?&cQc*imDm^E_S*tg~j6p0%2Z)e0oCbM+t8q0(^yj z)=%~sc`N!S6M%N&ITPeAIj0D0bme=*u1^hT>!u&JI1$H11WQ2Vqtj=jtszN> zjk=tsxqKJ#e}M6>&_BWZce?FgU^ZAD$xpmkPJ$7S5GaZ`)}~Y96hT^?K9D(JTR|U! zFDU2Yi?7SI4Gk~Z{LnyCSa>uU@P|VO31TTCUe?smL!M=Ci5}J1#8b%Lifg@$UG6ZS zoQeA?nbo0yNqDX(=7qNVa)X3OYyEL_<{G9s)hIxDDjDjS7B_{@yf^k1E{K59^*yf9 z8W5`lhYAgm_T9o{qXN}9o)2uv-GrSFF>!oDIh?jmor8My^eKJkj&9^9BwxZTcjbp* z>FOEfZvwv!bUfSLTlP7hZEjcKv3yYu~wZ2FQDulmjlSVO+5H9^@G(5Ee+l zBMk#{{crp2lze?_(|F{`hUA8C@U_fP!XctHcE@>X_VS^c^}sr*4U*FZ4rM}GzMO~o z9-L<$Ze>E2vK9{&J^iY*R41h&-?2&x3^O{nZn0x)tnB>e5&edeTdNf;E+fl68KRDg z#>QDLnfJQ|tv`@_NafynzW#TmR}dKj1QSqXJFEo@jIHdPZHI{|j=pc6Ti^Akea8=& zLF<8%eNd`jWAEV5b7_6Rb~&k&BVIb#^msiLd;wC$2jGSLiAYJufvVO0HYPd-QlCX3 z91z(`Cr{b@??ls7i!Y>1aG@ALC4LqA@Ktird9tMjcII7$}xvy3tO+Y{C>q8lUa|sa3Wnbsn!ZmWzGZ)Ar5V;&uE*#94r)Fj+4$Xv$ zcpoKil+tlM6TbKuk<~w%I9Dy6gHi+}tA5nIP!FTU=#^}#;bY{3W8(9TS*vQnX@)Q% zV@`!(HZ3w2;rIaaXFDF3uZjCnF|rJnl!@n|gNcJQZ9%2!22x7F_fFl-&TDVJ4o2nCwbv=QdWIE+m)Kr8bDfAexm zy-?2rI4wvwPB>!pu}`807sKESBvokp3=Qdl^NmFgX$BXsK6HWC!R!NW+Ws$JSZ!!w zR#I{EIVm5O8|NFT#6>|rqj`x!ea7%a^)QiuYN!}r{<}bw&U+J)bgH*ZAkXZdF{Z)I z7@p}&QCd#wR`Yn!Uy1JO7`eSdP2~Db1%}dXfi~nHF5z$dGVU%5?6~;Nn$U|w67phN zWknok2k-IIK#2y&+ni(71T#WkGSw~_|RT~f(dpPAmcNy5HD02 z@B?)^wRPv#tzg(7(9m`D^oSH7pC}J7J$YAhI#Ze=s->!9cZMxKBd01eOUfN3tj5**N_-Wb1n_8}}Lk02)@^%sj zk^zTat`5*38$V%%m_~9ld@|*r{qk@H|GO)ig2FHq#_2G`IR`AR*L+TdPqA&G z9OOc`x!%urkHOcj}D7Y7%n`rO1pgl>1LQ~thB-`U0fF(j`^_m*P>bF*$e5XM-=|UY2<&8AZoDv;v}BXm z#^)_XF*x&8$xt_Gqp)LA=_n=3a(LqvhR>>B#4z+q#%B<;rk)zUxx<#wdBAx#)6cOe z&^@+{mD|*`>pGywQjsjsrsRc|Sz|;tnTxJUC zv}y+M4^F~?kn)trP#-})3PqtwHkEXAE`aw0+4*UYT3${doM6d2YHqx>{1W}Jaq@%# zHUTCi>N*;77T?3rw1C@3Ao;x^Jb)OM-srgk2Cv!-%+>EKFPsZWWz_rVXL~q44eYogDW4T4HX=T!(HYvp->;?X2+t7L=T-5qKF9 zlo>eT7KpHN`EnQ_Vz89}mjO~*$iEWy(s%>QxpU_%l*J{wqnmrwsuRl7gE&qRFFz~8 zz3;YeiWrqByBCGerN}UKLtzSiRi`Ek#M_#PnZ)ZcZS1Wyj$dl|dvxxk@>k-#Y@ufX z2UG_~jEB2}ZuF%XtFkmMmWD%vMYALV{^hM7EAa_!S0!!H;c$qMh7#RHZ?s-|UxUwn z8zbSBy?rD8dQO5tyetn`M8LKM-2yoA*+F3kvzk$b5<6aeJ4Y707 zh9|rwl_k!`VE79fF2N8HP|P2wOHdWNZ1FlZpdr!;TZDQ^1LcK^z+93z4W|;a3_=Qk z@(8nAAwv$IphrNVU=j?OpZ`GhE~q8n9XT~6CHlzV7(-Bt03pRYAl^U}g-gi8#-)F@ z`S#<7hwq^bhMC2;>|>!j=fywnlCJeAGr&+XGz?%%3@4=z9;@{{EuNW#vHS*OD40&L z0UseVPcD$nSsBTuVY)jUS`@K{z0Z_RJG2eE1Tg=IU}8vUCiC{kLNMil@Ne9sao_K^ z?bPqcAl`oP1$zl@#+qxL2YtTRV5W!5N0X)Ov&|JCN_bdazkJyYOCV&{h!Q5b13nV~ zkpMBH0AIq0GU8SRy8s-oW(6fOZshPx#%*7!jkdyz!e^J*P@{1O;>g*+MoL7}NcvWJ)1UQ1Lf3h`A{()#r6sE1B=91^qYI!U zLGLxNpafhK5W3_sZ6I`WG3sGgZUA&pQzKgPkb>!|Fx98vA(%#IX~nR5OKR;IUFqrk z1b(i{%I&n~FkcF~fU7e*e&*(E$jH+_Dg&3pX!Qk}7!2Wkpklz_w1oYn2z)odDJvoa zNV2H79>2RrM*OEny1Tofy9&_scXD*3UY#{!yb_CwP&lZevNq|6aXJ-}5nc#qe86OFu{;1G&Yov(Jw7_<2lF1Z2Z$X6_({K?m0&Ql!O)nh{(Nqo zjIpk`tC#P(sbC^Ngw6?7Iy*#=e@<~wGIho>w#@=A9(qiRAINFOr*%w_Nx1@RjPvC@ z8xL$IiUx6ARHsrcLHkmwRF@VvZ%7W~Wgio=fIcgc=2Aq!*w~v`^J?u$g&dAkmDizy zel}E*t^Y}z1-O*2!x#&cQ7{_;_XmsxE4Haam?ox8SL=#lD?3|?xfTsnL~!8u@?yGE zsDZ)2MF36xrL;9SD7@@w69)8zD1$}>|Z#mf6o=!IAy!(Vqd`h`mj zq=T;z#?n~XPod1fV*?EBd1zQ)U|%qUxrhnCM&r|K5B|c)rtnciASXSnjy$>MWuQi=z$^24dn>K)l)P4#Hef8QNUs{nuk-zLBLILM;H~ z2c~rwasE&)i4YChc(D1Tcw?6BOjXt;@)k9_i+XO+TvAIwoA<8naDc^#CME|MT{uq7 z7)-hT{!sw%)L>X32j?2Jj39_X{|rVN;BdhyrUZ>PxP!^(!PucU8-g{VsjD|=wa_{P zi;fJx0^^FZl47$4ZUneLBH#^xoYMa|J}bOv(C?H7`U?!*KKQ{8&Ub_rY5xY4Wb?P; z+iNg0i3;jkm~jy=s~1{$d2`)k_2Y(CYO{~P*hps0)X95)jkEFO4+m6W9)xBU&Z7+Nl&=toY-j9%1$fhGc za>SAfn4gs*Y65wR!ZCLOE8e%1heUw&eh^mv#ec4 z{#)O@7e02iL3|3kPAP%XTl%`VSZyoKycZv-BI5JP!A@K==T~6;kY&4csR_7#VW>ZV zt0$L;K#_KIY=a_JYTL&Q8V;gZ1L+CUOQf`}fT|&%uDWV(7EI^iUoc$CmBl?r2X-qu zaXeK^7`;7n$QF@k6s*F+KkudX7mqAP1gHc2$nIcVCMW0Wv(`%yEo@5YKY|h^Gn%}T zCF{rRxJdFT)sO7`TD^(6jzKLeobU?84K-4Zer}o=BAoJySdxE1pw)vbQ!fpSSaI0o1{bk5K+o!#OD_6Npuz~v9~ z*pIqr5jX3fKYyUv!w@-u1mp7ZQgkk_>-S%}<&kZh*T7zJyHE?-CIXb+B{9^bINFXz zilQv2<%(s+`}aj$&l1?G*lWxx+&u@t)alyEnaa3m-UQ<$zdm{ck7)40z1Tn&b|dde zXTt90{$fdtbvy637X$X+x9@(C`kg%*%KUi^bC4|;SbyIrhr*2> zmbrIW=d*PmF|wton*-nk4>n?wmzc5wM6g^;Xw z6j(Tm)h=b6as+cztOq)>qnCq1^!@n9+b+_}Axdb8o0>H5W`>9@OX-4}p7Yqldrmp; z8O+o1u*4VveM(ClrkkIJ(mhHDOq$@B%j{p2?g(Kqg)JX8)lLc9^$*}=w=%`?yo9MI;C>cy!D9>z3@`(Q1U@`(<9$^XB6-a( zErmkIj2K0fVIasNT$AF*%+i%0K%A>WbfhrwT3O9Du;5N7fqjv-7te@u{%P zHpL!OjF=JuqDZ(AES%ib*L-@F2=xw1k;70K0d$`TJNpivY0(>OuH_4M^_7N`fYHE{ zBa0!h2@1i4{p4<8nOQo_?yed-zA>()fg;6+)We?+mD4LpfVH5Hadi&-_$AdDQl#E5 z;-Lli4tKonV-X z{`d-LOGN&Jr%<(hc(@4T`DdYMKpKVKDyP1l8H^Lqy@93xqd0JyAnQV!28C+o7Vam^ zQRsPVN9Pi#E8T4bb9tg9}bp(?~)s#G}81Z4lngR10ZF>o0X6P9lWnAmEOd^t_NsO{@MRzyW1o|&iI8|yB44n{Ie_`sP!80^jz6B8p0&$NQ* z0a6eGsKr4vudIv$APZ=;cK7c$LqCQX7A6^!33MpFtj~rdfYImk5095H{XE?{wcagA zYf-0F*aEx)ywUU5TVQf9@t&ndHR|abf49Wr)xR`4)fUrcunkWPU?nGHbZej$F#5SD z#sQvHC;`ZWCBhbCGd0($xc)6TV7O_gGMh+_@L5Hh?E@>K#|K0J=^x$yH*TjqtCF5bk{5eHGk zR0;3|Ot$Q(+Sjj1VPT+f}z?x=uk982_o%gtKvg)W2cSIlt_-TDj(7n zU_@Ck)i{?;C^rXZ4l2Fn*=J4C2x5;o7iEb4mhe|;@7}k9%Gmg0`=m&&laS=WLVDuj zZ^DdZ93ad=4>|f2Jn8BiK^%KV@9RW&x61;8*DMUW(4|-pq3i5nc%$o z{(yl6Ktb<#ePh&5cY0$E*1e=((x01kllOnpcQ%FW>p8(UH*1X7C6c;j)LLJx7s6x7 zk~;A-K65Glxp()jZXEwm8^+rVTu;i7IS5mn92{B^G0J^j8ye95^B^dRR28k3g~Wv@ zrvI9O=Sk_-jThd?2nPeL$(V`|T`N3efrC+dEXq{ooPPs6N~o-Ucm5pIs!&!+vWR%K zga!L?-(YAA;aL-?iK3>i^?;)QITQaay;4U{=xD{X=+Az^B8#je}YSZv|L?h>@>?2Lj;uvb4-|ncGPQwG62`pr6RIY_AX^ znL+2yop1=D!xu~O=KGWg>^vn=uF62OoppB^;~T+iM@*0+}-DVnFDoTd&rxp7R@-dpVc1p?S=Py8%?nEv=y(r3U+&%GXKi zCN8{5$@WMc0jBC0q_gC8I zFjt9Fohfp3zs3w75oKrt3i|({={(@6?%y|l&`y$y23f}lNh&K*_KJk0P}!1jj8c?j zWN#88C8CIojwD28ij2^*LPnVtssHuq`Tbw7=k@%4&oa*Wp3mpL@9VnW_foh@hW!?D zfRj5_$w(M}AjEX9EUA_F#k~4hlYN9~wt(`)eN1O@9Kw}iXlMuu2|n2*@I|_;j$E@4 z2u}dsXf`boTD_K{a{tD^2n;5LN^fo_4rxRp4n_P}k-YipqHa+>cV4MQYcpE6TwSt- z?TN6{>I3nk%YEts)1Qx^;e9;NBz#e)r;c&;N_)dI>Q{RQw(xPpa~kTVhl+iUe5Y2& zJ52SB`mUaFao|jd3SYL*MYdb83y1sX1|n1tq~@kWjf`T2qiG$g!N@(1{QGVVa~}RX zc=+CWqHcW3M?Bvl@6*`X)hFQhjuec(%NMm_d>^_2{xDwnk!M zJPn$btgUo=AB|q>zN2nY1^_>jTM5d~mmbm8=)z~p1SK3TDk+ z_N{jxOx~J%YZTCl>4M+)Wt=QGJA?I(_l}bH7+AItMAt3Rf#P+Aei8gG6I>d=uHg2H zzB6}X;*Lib{)&_JdLCM#&7^wDuAGz$DFNj+BvARrRFlbV0| z#&LjELl)wQ>krQ6qqv#){;K1T_+vKz6`+OsrI*A#axMypC1)5zyaXvT5 zbJG_$Kh&6o0b1W_A2>nYfIR_^3x=-vGamYt39m7xePsVuaO_<^6D-$CJhxfTU8_u^ zjYRgVdkECC2zefrBdN%qI)7EAICL=9fz&Zdp#Q3y^}&A2x|atDP~X>CyHgA|AM-hW zoiTjHF#bB+*i)2g{`$ib-mFnvp0s*F*-X1)h51JZS%kmljSZ(;roWeDE34BN z`gEbbQ;+?H#*#bU^_}YMPYSE<7B?BNyvyvQqxeEWfjP(jD=>*X_r;79)MKO6zHxh4 z?5bV$>PzO1r*8tX-;RdfVrr9K-Q9T$B>~B?Bd$QCS{$n;mg;&kiQF^B4~|{M2Nn3l z1GAU+-}(_RufLSiF0+isR`XLW_Z6}7N$x#%tT;OE$X#~yIA&b=1D7vSR6rTsId*T6 z?*M$jm1sAEVY$a(Y@qBGnxob1Vih@g<=q)K)E7uC2>)k+sRRB24yG3;oSwNi?Us?$ zDMtYpAtwbp=mvK7J{SSAva`Rs^bi&zxp~sf0yhp8@1~ ziL2(jc#mDi_IL_uD!0p$tFFJ%uo9p zsU6txw(dUlb+fv(EH&6oK+E2VbNHS0Y2nUSOM`3*B$Skb#IovkuW85?J8mPD!Z7W1PI;SAqGr|N0Q$sr#|fw8uXDr^j*8 zT$d_1z@I95rg7XOq*bvrzQxW^=Erbg?ml`8L@<%nhuF6aCQV_U2(tpHaPA*Qez%Uo z)KN9=fj3rzl0U!Fj25wkKR1(Cus@)ey; zXckS_EwR4_w|#nuxZIbnTrwBFf=T!jSPB^^PS0lJ8%!SK^91i{mU)6%nCmZ!?9QO| zBM!O!87`k;w_snd^~MRFgrN08Br97H^;f7{sz@N1?ngxe0g4C|Fmc;dAO4fhb#?SW zRQSh=&KPyfNhLjObR|f{GQeL6Hxfe*e1M#B<=8y5%|9jq`ri|H633xS`l6~c$~McCJ`XE5G@sA}=4+#8NHcI#^clxPI|nKYXswb@6MFQKc3_1>E=%C9@UH4m0l z8U;dDoQ6s>7wufV#j;3m1sTYshz>h$t>FD|?1ZBo|z>bvaR9t^15alXu! zQOF|R-2wM(k^$S2kwC3ggWrE3U)dl!_91uVUVqOrt-QatRI(Ox`2W%aiFTh9l9pPfjseyWojfo4C%C-r*C+6PJK-+U_ zF?7Xc_Tj-GT8;^QTTQgZz^4VASuh=9qTo5j&`h2f#PCfpS9#U-1ubLgvx9pRb#BPH zXJ#8hN=|xZvu*goXwK%TQwEb-}03Rzs{oM${!y@08Lx#slXM z-JYUpa`}I39P~3(*d9Wq2G{S_IHSEdTvks%+1^N!&J4G{L&t;qU%Xe~ zlC%(uiSQ(ut$Z9$P@BO-qsGT2B!v8Ujno(BXhb*1FdbHdAeX|Nq}L#PaDcYG`S<1L z$J8EwX`S5W80-m~lY>F9!DTCB)Gx5=oS;v@dL6Ufp>7B#Ed=@vJB2dfb@qR(U3>XE({CV&xG`=Pj>l1OdU1Xh1-aR+93n{* zB^vs9`L=H%r>EAC$8r^&8XC!^NnHZ^1AZ2iZNzr~6EBb&B)1Ci5J^-*o?5A|!6K7T z!}=?5$ug6|NLw0zuQH3>^6(YfGx9-Z#~H3wi+1a>tWMZ%WYrnr^?RTpsJ1`d?T`l} zDh$l{^|Lk7H!L3h#T_@M|J>fpGhUsoWLTEoq|TDGJdJIBAXl{nK*O4tT9F zjw27u`iY|#9i2Xu8eRW_me9n4!};faBEDb{MB)}ODIVyMgYE=p11=t)#zD5nF^qwq zR?~||!eMHIA(cO-o;bbLUj<`Udk~i&Dxgy!AKXx>{m}krHSTyIR`FSHXdZO8PT09< zhF%;xCmaPNiI0>zEJ*73X*%W$|K{3=kBR4fJ$9?4>n!SbYVp~wR_mUb@0U(V%^5=jF)|z87&?0}+AJFpxfZSwi9y zXciU!{(22}d3gUv#TPR|Fo9;Sp_wF@p3CsQH5FFpDG5$5o;*lgq(^{UR)N_T{C9@8 zhbe}+d|g}upMJ-T`unlditD`7imh%3RWHBE5K+C^q^@<9YeB!Jhxa<#PwBW6f>Q`T zXptz-#51cYdPLH|EubuB-5y+`T<5@NKmZ>y-fsH=0mnh5EuB z*PI<3O&gW;V48PetJ7FQ9Y|cma9u}SWM!<`(W$++9S#ktu{Ya!cXOKwb&Ux8FlH|p zet$TK$IOd4F=a|+?g@ui#nWQj9>(( z6Z2ax7zGLR8{VXvQEM`0$+rw-eFT>;YQd-P%ZrQIAw8;d7dlF94Oq*4xoMGk2_xwi zfnvdHyC&Zh*kJwpNX^IA!tD_BV*<8;@Y2^9@uOH6On#LuI+=y%{dyywE42J3qvzwy z+{@s(KK$fz5|Wr*UEAkKQ3p8zz?q`P@%uY*5`VDyhMSc*aX_GNUhP%rcFjRqGE#-Id10Sg!A*f0~Id*VkHI{?`Oqs`pT)IwACm;s9G!x$|OmHN$w z1x(i^QwGEY+4Srb3qpeC__-52QVUiG`_{tY$eNes7j}+kuvOWy{)X5a{rg*IyD<6o zV|RQm?8E89dd=#5)R#boMO%Hm@FTu(~qaQ(yvG^i?CU8zPL9X@kV6mn~o6W@* zNs+5}O+_E_Y!B>e914-Vt5I=h+NPwZCLgo~qw@H%yXob2udkX~X!zcEzf-Pus+ytV z^m$EaUWCX-!XMFWNRPm5gS!^bIbvKIE3Bz^k31jfJbQkE`Abtxuk(t^tDJ@?{}`MH zo_*@-O5B@db3RW96MlRm;m*O3zr3?Lv7_TC^kpanWEBIVHULyq-aC|3Iu`i5BwZNc zm37tuhG$HnI`A{(Jb0iJx^B328)gQ)-cHB5xRW7A(}S?B(gfL1 zlnV%xkx?9LP@&^ccLK&V^cgGoA5if`ATW*daoa2%*{$C@_C2wAeJcz{VZKkz02gEi z!r8)kaxyDk5lH)V6)A3@>T_M5leQ=~aZ@mCK$7e&ep6aM;CjIEZGJ;%%ULPXfFAgDOl%oWoCcZuTxUXTEbkWR z%3ji9k1hOVJT)08`bYJK77jupZ+RxqNi~W@=ZU=w0rKy1BDDV z#PX*f!oPg^vTf=11i%^)GsR#EA+##@D2LPob2?XRkFUC+{U&`<`@~CGXx#0WQfzj$ z7u!oE?K)kxq`H4n{Myw)M}*4}6mZ6MJY;$v16ZZDZ^OfNr5`0xvcpgygVLXY)8qPH zDXHMir#1_oBsJFV*YYt%Ua;@-t^IB%(BxeYnYHEp`%uCYB%v?8C(odD^&&DUN4nk0 zr5rO#YxUOP7$!#-q;i3wyFAb8RXNQ3Lc~k6^nO%I{9+{YQRVa8U*IdkK(y`|>}6Fb z<`M2C{zT|}Wq|!191Qf;Q34HRXG5P{+q^Xn2%@5P(23q&Zp44Ku)VO}<$R6^q6fuQANg3EG zPqz|Bn24sjiZ64qo^IZ~Rovt^A4kgA#pu@z`{VOA2Awn9qS3e6O!@0tGybkg!F{E6 zUv|@O*DDEf1)3h!s#-^XGQ5{>$Po$HIA_(qt+Su-%&@7i`jk1Xb8gSCvPN;muhM3& z6u!R?(2}C|sanJS57dKzDAa;bz%vk6!5{(v7yfM#In}4dxvi|oo8;i2Dz)yJhbscG z5@e#8FNa5sEyzt&1DeG6lZ8zymY@;_B7pGK3HSibQv>~+o*ysIK3kD(5&iJd9mK#A zKt-mK9&bb58u+K?XGU-kRl;DI>iWs7D9SQJ&?U}h;f6vfzIp!EyE&GXQ>=Nx{PD*x55pVV)J^hg3y z`eqdpO+hcFnN!uu@a2f<1M?5EuLZ%v_Gu`57^ogVVF*GOj=Pk-<7Y8G26ILZhc{_7 z;TGI~YeJ4Y@`J1-(0@xxI3OF~4kjElXn%NeiD&2($_2DR`1Fu!5L4?33Y+?HNpd|k zWLaz%ls3$`YQ`>6bt8TF_ho4C+(~nz)kgm0AKK2KUcKV;BRiFI0mzBN14sO$AYZF0 zD>K0|g-5qWy7l;Z{oJkVzCItDk80%YM?`zyK2j{G?0aab?O_#_#STi*h{Zp&8QbH@ zs1aEbnZzzC`;2_6(b}-Ja3-!V&G`?g*P9rK2IPNGjh&g+!LL)Ua|{@G?^zm-DtDikrEsWWi;_W{uO z61}}IHzrO$v5>>#eP7(%6`fpn{-_lnv7Kex?2Z&&l1KRlB|c%?eR+`b%oQ6@w-E-; zZAi&6dkz_xJWpi#3F153jLM=*UbU-tnZ>QX7zV`QkF379CQzbxou4oz_wW;aRBrev z;7pN#|A@jW>oX&r55X1<7OaI|k`1rvzv#F8hR>1MpYx44R*9?Q0x(YD-7g7e9tzYC z)gQFhwl+WQozMPhfq5au;2FyH25l6c>NlL{gZ_0J`z@Y7y`7FoRA>^jYj!1LhrJ5i zW+*4IZb@&z>kn+IFD)bX2Vh3LCC4}qn2-uU#f%>RHiaMgU76=@^5l{oIE1TTJ{jhe z{6Jaebm0VR>FxCQIjASmEt6*u&l-e83K4xs#{%&zI34uEbRaQsd&peQdLLH)?A{S+ zN1F|=j;k~JAwvfuN$%Ep)q61v&E9z8oxpsk+78IX*si^6!n~a$)KB!{ z4nj-l3@S^(Sg`L5-1T^y{zv9QDb-t^E~$KRye?Nk_PNf9Zq0?emRkSOHq2BV174ga zh8|F>@XN!r>HnQ8gzMF?H2RmdWp& zS3Sv!ijB;m;N841{YqNZQ`fl1O@L>1#%6n*RxhfTaTi4t==o>bvmdZI|5AVIDfI|bAxtC)IS#82z>YjX0A}L z>zA4ZOJvGbwOXaVwblyt)?RMj*6Q)eIRe~z=xNepO%*hT0_PvR%1@04r(qapsje|^)RM}7%E{tBh!z}u^aA^prcmr+QdwD z^I!x`ww2|Z!VwDtT`dma<@uo>zby{3++F0@uwf>VLcQ{3Yz_1j;h6Z^IAZn1=g0G} zg7lU!T=yd`bCxFyaDS40XJm&~RSRp=_T?bZt^m|b#%-7tH|dUePx)=cV}*;IGyq{J zL19SB_C0U=`qml*`0!QxgGFag9?^&&-&d&aAbR2-v4wMXZ7CB3RznX!gXNM9gP zC)mlMXfP;tLFJQf{gBCMS^9I$pA3-#to3=zX}jJ`8q}vIXR0nzZ>uSAxQ$H(?lP%s zi@(q?WDfA&;@xSLzV!F!OW6wyBIdPnfw+Dsl7Q3=M*B*vOL&@##9~`NfrCTh?R$+d zF~WI@?z^JbnKa&lh%H}uk?mg>?J8Hi^|pyT;Kw03Dz z-PbU3YDWpgh$h_6S^IVWvtLmW`StxUX=ZYIUbjhT9>;ovT|yJD6PC&HnG zs%!6UceD*5Vd{P>7sI0mTSsBLUru%$zFZ(k;iUFwd zmGdL9{;W3d+oGyE#o~SA<^WMbc;>&4V;Hq|OMDLOTZ{THvB&r?q7_ji7*Cr7ebm0G` z;skCS?xB^hFFLr8pxj*K{U5X!Mgx&aO?GpugDUK1S%=uHtvKLN_(ucBdnw+*KN&ui zl4W(M=REy+forgeNa?nM3j+J%vbd>JhkFdug%fO#ByOYp#|(&Cx0JK_67ghlYfYqz zmFl0My?OeZL7V-no!QrYD}7@F)vT`_%`q~P+kPcvE9P&BwuL*p_GfgCVmyy*`u6!K z9YIK_gvcZXhdRcjcG%E_h)PxO_wC~qU&G6{@K3vVjqMOG`>upKC+=+|cM|glJO%209Y4M-9L(#qJ@hp9LrEy&H2*B^>o5|lF7*_z|UOwwtbyPq*dM5qfT>dak;|A>B$L{}Fj zbDRte3{s!={{LP&lWzynO(@Z|XJmyF9307o)6f0)I^tM=p7dY`RhtjI41S)-?tRDK ze}clQV0+AU%aR_FS28s8Lj{WD6TqQ_%nqYY($7a$`NxRlfq$YOYzv=3NX@A|Tl_V6 z6Q=70>;|l&xik##sqtMOW9GlAd}2=U$4Pc2cv|bi`C3G_gk^J@7o1T4bC|kXr$G4- zd!gMG*iX)tY(-Iw5EbWoicuoxcwjXL+hMEQAxn7JZq}K=r;Hy)MV8n3r}Bg3L&{f2 z+Vt4mh1Y8BThGJwR7}a9%fjtF)k2>xFc?>V`j=t%4Gk(H0)9T*hYr*arguv=ndYg> zMHGx4V*ft8X<+M45mABVoU%;T`Jv{cdwSyQt$;1|gZXT?P{ZK;DUS{JK6Q7CaMJK2 z;mYURREmQGGioR?B)0M4tc1GI$(OYszYyX1@mLtwzN6P=k3$MVX1p!ay9?Y31bwZ;O&5@2t~ne0 zVf?M#9*f>8f0G{W9nv`^kw3`7A96r&>Usq`%Y{Xl9ikyP8}S)(U;G&p+zBO~Ufz{h zh~-C?fO&r$bNmB2SUudi+Q$s91Da#z!4bo90>@Ox2M zu1xd2_G@WtqxuRqHZ%Zr@}OHBW-*Y{&ZdTdLA(|LgOUrJh=-e*eF%B>O}1dY4`Tt^ zax&NYZ=w%)DH)^T)CCzW{p>@$WT+(YJ*|ux)EoLWBGavBq=Q5;bmT7-2rEnb-q>Fh$iHbS9wO3me^~DbuUN%5U>Usj%k{D7-DEpuZ!~){a=y2DS7Q z430$h#WKCHW(aC{KkSJ)3-B{jk2UrfY*39o*s9}2&2o#oqr8wdG~hHaz^2!=UG4ec zcdt^xfqT)aGH^U5n^CLk^Y)%e<#eReme|SCM~CMd7h@u#y5n8xS$eT0s^BzV)W0Cl zl_Mt7V4X2l#AnMHr+`BRvOB6UbYww1KhPAPW^@p)nJ-09t;gK%Bp9O0Ed_u)exH zMI}bc7xIR7baYsLHGsxSf)I|~g%3DIZ`w~`6V}o<(w#pqK=dXE5`eb2;_Rf+bfKw| zUz~Zn`0l9z$2RV(PFEIse)g`tavd8MxljJA;;5!wtK?xU4MMfh8?7x~2{pTVNPY9X zyqn|&LOHm`{rfoFk1a)mKes(2>nkm#D*sX-h$TowqUz zl`R>i6YH_z69TkJyT<8(DFwFmS;;!h$B)FmczYGR5`?pe`gT-kwZ3?Q_E|ma%LP2D z>4swL2CvN36^}Fc(w^eGoC#1hsYqv2yePK3)xc!i!Ehd)6Ea{tnGE`%+J{UAU-#br zG|pJvo|v8x1ZR@$x^+jTVqQOs$K%$#Bgof{MYHaXcf)ShBR$iR`u!8 zVw5*DN0W3fmZHI=!iQc>RIjKcol&-!rCRf+v~v~Mwr|fPa0?9Z5D7;K{B6$rLUt=2 zq4LlO@34+8mApG2zhEG=F0UP{PO)?KU}z70IJ=C6LPq%D-p|=R$85!SwfF%S7njty zMYr?KF-`)Mn_Wq1=6T-KrV-Y`4bX&ZMG;zJSXo{8#VivKTE^tzhN zhRD8Qve>XHy$PL=Yq&kp&K@@8$!#H<wLcKTAw~`+lvPB4#QMxnm9H<)?Iv6G@LW}`z4B9;$m&z!DBt_Yg9|^NJ9*L} z&O8|}?s3N1nJW3X_RXOUEBP=>$1965(E;#=a92aF4nd+uKfnfyq>mlL1$`A{H{Rg7 zz9ox?`c_f&m0;viwcql=r;dgHYr=cQu7fJKhX;!J5;g*88EFGS^G;K*^YyhOhEjqd zQZUZHZ$rG?<%Rk=KDH6Nc!fJHD>C11_uKW*LDR!O>RPbrk%C8p`x>&iryg7wc*1uz zvYKB`;pWI;kElUfXbX+)>%b#-$M5?W1$jj}^BDq}UcVhF6yAP!u`XQb*DTLIdZ8~{ zk?7MDjn6So)RCfW_eb?C(rk&tG9y1V4#cIHx_K2`7kK`0;78C{ES4nV#3j{l^^t$8 zLy#lGb&3xX#B7tz=9z5rYI7{ax-!4a^s?gM#b+%ASbxaX$*g0zn(Nt#6JqzzCt18?&IZOPa95=|>XveL5|bO{Fo0QE=f-e00o%#5ZFKe`21YiHC$KsZ*8|}?Kl>QdVpfUm;}K?0Jx+r;QI)ZZ zf^t-ffKDIGs)utXPG6b-|5beyNP_`)0=(94*(1EurW2d5X9AZ#czYfCNgs?e8zSoC z7mM<|*O2;{U^{VI5MmvP7(xOH=sbDFY}Tav*ab+pQf>k6P(ptrj!+oEEJLVpg&d z9Ymf{f8QsXr}!8|0S1_o0>b^h6$XP%%o?ALM_*T6jIn+A_&=g{ZGTl5LB?ZR$-HMz zPdb3ZEc_3L4}wUqk`Yqy_PTG&prrhnka?=@@hDLZ52yNYag(~+qpLVQ%A=l8R~ykz zX1(sN@N!(4KDUYCx`SS4ywGcNB(7%O9#4n#D5Llle5LAI3?7hB*6!ekfDi=)<+5N=6o z7_l)70jgmB%{h~kl_l)JsQ{`Dk#1Y&@D5>d3A`-`gOon_^KT-+VpSRZ2VB;lGjH_( zQgp^j_B&Zw!&$W#B;l+iL>^lFzS#{TCtn-Ge7qD3u7OcBnxnqmeZkAn75C@;>Kp;> z_^fckbR{~;PvL3*vhlw`KP>9fi|MlLPf+FTVo>3WOa7qJyvOlnjMQJv zTN(Q7PF9tNJp$}^=WFQ1q$V_u+x;!rr<3$BPFp8>>CUeSrWb|wC0pt1Tq<+ZEi$q0 z_J-x<65B(KF>2`QvEuNPQL)n!L9ljLNn z-7b161;ZXE7%sZ3S8_dT#pQ1XpxBz|_;G;KnV!8T5HJ^Yt&(j8P*R{m&pa1ab# zR^80$LN>73LobBYHE$ZL;%e|j!8I~M>NajHd zoPU~J5P`)2fx!5b#n?xu70|{QU4DnXn`hS(6xVX-boO_R@&nQa|I&;jlFv-2Sb6;hgTS_|sEyzZdV;NYpZXNRIItoV`ez zQP2hupof^D&!_shw`<&kY-NT3*eW(3Z{o39f8}w$C?5>6WDj?D4HxpQ4q8c-tJBRw z;$+E6wv@V>0gtEtqgp4TvtA|hOGbg+>RgoR;!-PxdX-L!dhC|XH+WJj1aP$!qCE>$8 zzI6#n7%W(gG3xf>gD&_l=!{1eMbhMhAt&suhk)}rw&QkkVE-b}2!K&l}*eX0T(viEzyoxj{@eH}|hpX5@q zRCsBB(U6;@MW&cii{G3j1+Us2{aCJUP)@SyZqF1rD_aD5T@$o*1(4qJ&76^_-MWD# z(OkNI9qqAjYMjf$Tn%r)P2Pf>t-C!_+m_9yG%t@+Yu$A?F+G_HV|+%KIr7^OZc)V( zOyn}}jTWzxyX(G{z;O+obDHa*xMTINqS{*>FEa+bp4$2 z6;Wv}BE9_QS%WSXFlmk+Nt@QZVz4>YBgxeILP38}al-DDEY1iUwYy_GO2cUiv0nQJ zJA=i_>V3n-M53}VU8^aI)ehBYin7&-)t(`TfY;b@+gLF*eUmiKYQ5(DCdsi}=Er{| zi4`;qHRG*!;14OFsBAusOsg0>2~Xf`is403SSB80p(_q92e><%n70|Hl|U^)is%u- zpKa~!r$Mq*5H+Dr+&U%- zJTHkqPr!2IXtzv~g28UsjoC;0FtP>pVt!F@3Yt5a#luMsD@65QRcJD&B;N76gmr8N ze1kQQT&P#j%ER1sc*9^8!z4@Kold1s(3j!Dp-?P7IdtZ}qE*^+RbkLX0Fe-Z2s_wRlbzvYL1#@r-2OyX!d4X`mXCN86CN-jpE3lqhSENRbHcq-X+pZSx&MCO_S@!M>&BIlv-5t=A=RI%<8o(`(| zfaF)G8X)CQgnMIDg=vma8V56Mpvt>X?*y!x39GA+QW8b|s?@FdgwG|Qq1w*-vqn%N zwo)x<@hy{uB}@W4`_4-7C+Z+^xN04`=DIL}z&eAcg-#+T?>JihSjSaT9D0O(u8?=Q zz(MoUW8PG41fJyF{xDtjVSQN_r0R{sg3V>%h#Jxc6Vm$yD}%c;ru2R-JKB7J|8!)v z1l_UJe1IzKzgz*#=B4fz8kwMdf0i09Jzs)#$CV$Oad1RswGYN-;*|_1IW@Ug#25`?a^fKFTZfBXFLEz8z2Q? zuD;0WFYCrfO` z*f}^tI@#k&Xv;bh17F#^NS1Xi_;`NCpF*GadGQSxE5`Ov8+uyep{pU{2jBK(H&vm`c_U0itDf;2JV82}>NjR36sy({$_p(uQ z^zV;%Xfs|1^*8)4Ljp;cnD;YINg7FmhGioncU_# z4%97SHgRjte8|nzI=VTA8YMidj{h2 zV)8yvge{74DWtc>S&MCzkYVBd^E*+0t_1NFbhT+28LHQJVn$}3XFRwk+H4o~I}DtN zgvLEl?WxNZV^g7INyfvdLSpgThiw8?mYY1`;YbkkJ#4;_eywiJfhrE!^Du=0m-4p> z8$sT6^g3s$h_aPh-Bvy!x%ofHPuDiboE@*;2J25J10^{ zu;xMG;#GNr?aqj^AuxhP$%Ng6xIGi4uW`Leg-~fjLu+tA;YWwOXQVNQhh0Ty$w5me zC%zw^mA*?UK5#>1Pcc0GDvF@@zo9VLj8R2ppsN8)#UAnDoHUqg+p7&JPaq)@deD0~ zgoN4xu_>CR6Kw01MJ{5f75-V@*XzkMP{^KS40x7hzV%cZhm8_Tn^g9m;B%$Ddu+QF z7b1a?f^@QR`9FsaDOJ)L;#lQUbcKTfmdz94MnQoOD!j>fdaF#*fsI8NA9XAQUA9$q zdsTTyq00>z)H6~B*%<;Ag$*cAuw_b`#gI=!T5IM6JJqVtg4NqjC|`};bihkQ_WOxj zE_%(+(k-bB5h@%ax0moprdlPeje9JcqRTs`zqMQPz;W?}ntG*(F`gJFb9*z#_>Dm} z6u(P8)m$PEW3GK0DLN>i>1Lqi*jhelvRIhmJzx>@TA)b#oE#=I<{ZcM^~wVZWCTCW z)Jr$J>1x_#NSwd829v5@^QcCFk>p0kEwWR?vL+8&<7F6GI|2R)I--O}2wR^T_V5UU~3|+L-qP)2j6Ha&s{U zpp2#l8+X|@b51Il5H|_N^U3Msa6FN95vH0`7r{4>B!BmE(#$ESh$0EF4v*r=QT?^v z`N?yXH^|2#!UKprN9l&_Ql&qVj52&pZ#~;aXNeaEgO$i_v->*3;(li=cYYT|tJ!GG zgEI|4Wk%zqur@0!JUo2cc*N=Jcj9{MPiolTSpo}F0cRkdXRp+m$2&DMjyyqL zZ4x^?%)~DJUHpM$Hx)cPeXnv0-TigDWWW?9-MTDT4A~3;^|k;x>2B4KC;&FRXPi*o z)b`S%-;7<0O=*Mlst|g383{-Gt}oK;TN1Q!DvVV&Ps5p)SB*WSE-qt-%iD8$wFe`A z^8Agt?J>}*O6LqnRysbk!9Nl!gVr6!zSo*p8)x+=0^cuNd6rtNuN$AdPxbGN#(^kB z=7w6;<|S-Dt%efIa^;!$xRN+c^`tdf0{Mqz?@k}e746zCl)w_L9ah|K6W)>^#iS?B zRCN3y4%zf2hL;`R?5cB&+@#hS8=lm>JV>Q*=NaSXQz0<6I68jZ^x znk^dz-nTF(x;@0YS?AGwA9owrLqS96JLezP|4Mob^bj1>=bL)AH}s~>K*Sv!(>vdT zq536Rrn3LRF~p8NI#4(Zu@Nbh+~IuZq#UaqC%21>H=77{y)Ac0F|O!!aK`(U)sZCc zDT#3Lr8Xh#NkhCHu)3^yi8F1&pu!r*D%vC9?KD2@YY_A_#qTinj|S zXvbPUQN<2_S#?k;wqw6Qf^Sq>jP@{ZRA6_!tx&9);*|6ox816I%l(_cVZ$B68;cVJ z97vj#{#I%ogSwwgSFh><15bHPrqjpad#cS5QMQFKHBxelZMS}NjvITJ**AX8Qk;1e z>2-PVw>Yg`-=5cOr(9ma3Yfkh(+UcQZrr*frJ<4D$ru;a>Y!WxWy;}Nxc?Fvnyx;p z0F zWL(|>)yaRpEdKbU`1Qeg`tZcPAio|mUsSpAKWTr%U;c}&mlZxFze?OabVKq&q4&41 zHjkfLnmuto-Jx@Ce{T)P$tKzqW1!QmlCxdD7=c4J+&ffE7#IL)RC8>6o2mDWrWl)~ zF|i{6ONPNnz(_!4S??szm5DF%ul@{@@#A+Gx`S)?OrYjuMHFPQO*BAO?q6IaRsftu zBnD8=f!4kXuy4Put8`IIV$NAr$u}g>!h8)RG=0CSr}Z@!u<-{aphrLWiFzbz6MrDB z(RbNOHmWZSXuQmkpZQi>b|2Y8cO&cFCFF7m8BdIEHXpS#4@y}B|HvjxM8MbworZPi z@TL)2G?D-yXmMCGgf_<%e>%P^_!j><|M{JHdP;2L3C)^N>Ku1IO&E|Yg_|EOr}^qB zv6#Y>Cds_(LP5TnNR*-|B&=Q~6D_2ikuh~Pm?{xsNQ*r!u;92>@~ zM-O}4tp^?cQPI(|Rwc*73$RZD45y0u0M=0tuf8%Y?>aKExA6Qo^9LtN;1Wvw2nnlm zXt7=(7gB0_)2W@$W}>y+o)LJ}#o4b9C^o>T^pYVRxF zcUUk#gAC+q?B2{c^9v?4vVH^V73ad$Ta?CxowaB!o-&^fhZ_>Zzo+lb_l4WRu=`}J zpwX}~e6J{$zww&8t3$XVPHq6DK11-T|2kxyU={!$_Ms<+Pe-L+aE9SSY)QZ<)>sH4 zv)%H<6%rQyjEuQf^ZT8jzjOFdzXZPMJ@@?01?YOtV5?d07}{AmbuIT#>hy*BfqxUG zH3N^*%lK9GSy=*cUHko1V&Pb2oZyPLcky|p*>!T{SojZ=|J zg(()B>9HDz-^K^jOD`)p#mgPY$<7_5Vt9@_+i5M@g#-Li;hZN8F9KA7(JqlKe(_xe z{}bS%>uhqrUMf%Im}aYIgcf{PUW_s`qj{!DQ4{BNdK|PThvg`&pT5^KjK@w=LyX*R z-GA*CI&<;%l$Phcy`>Y~qsoo;Cy(3SGBsBbSN!!m@K7C%U`14@GU>rseur0}pX9~V80S<5aY?O}q3o<|A zdA&^CQxTo*Mz2FvORZI+Se5vgt&cJU+MW(l;X~)gryOD`L(ARhUBQcXzj44xs&Hb{ z{6pd3cjmV;g3bvKY@W8N3<>uSKf!*!b)-;4ul}r5NY{$NH%@Hb8fC#X7E0fFYgtnO zZ{8jr#;MtM6j=R(2d}bPW_fqHsMYnYO4&&_RS_4B<#ymYQ7{daH7h)h^Axoj#b%t$ zUH5|e-k~XnAV1Mk-HLVUablEu6XOCq^;(gV)SNx)>^k>TW9#E|1ks!r($5u0Xn~hG za$l@EiXxP7`;6<$!e-=wUi3;pKtKo`uy~9Fv37vgmUiMx)2a4sBRG00(3ay?K8&Wf zNEc2ESfj+Zy-wVnX}sjH$h!FLXr|!kG<+Pz7|3P9andXQLKz5$Af;K(47Xr{1Yogc zfu-6uHb?tpc~e8q{5~=fg7=!gA?a{Ej9{ap=9=%Yq@d2K*Q8d z_lq3aC6%LuKJij$C@JzgoQsgi@P??QNd=iv#iD-3V8fbZBB-P_ zI-UjZR4hVGZG=OV!Os#n9QFD38s~)P8G=!2qg&Fa)PI%L@lH_r^hY+YJZgAOW6+

$IDFhkNu7D-sG2*44C@Q<^Du3n7j9jMt%F^5d zR!k*Tr8dPKKXP)QRrlc=k&qm!SL@l7qd9S0Yixx9m}2`Df<1#PU~wX(5aKBy8&hW? zm6Kg|WNwQw=VFor(z>a6-iwQ1ek=X#h1ZIwO;e&KpN07!EYE&23|W%(@6 zGVALXutw&-N*b=rhUiQ4mxr^RyjO-r(8+^|tArR23vR{t=&#%lovc9XAr11Yc-1>s z-iQTB0!>BEtj6;sqJ2IuEID2srz3^mlq_q|^jYrQdl}r$#Fd39woy?Iwq1HWMSt

>^&g_s z?@7BJ+Otc)Lg^8YFk?E8FVC~bkDfK@I_;ZYu)Oj*@Q3W~$Nm$vTb&LkpYC>T7@C%~ zZNBx|_12K*YeI0n^k30Y7d*0}Ml-Ro_sr;&g8%j7LYU6wxZ61RX;vku>5wMhz z0n-%KJsPbV$G`YkUL7`#i2IG>Oz@k=amLxBdpy^R$DR1Cqi3hd7I;R0O{}mz^6sfm zn!ZtmQE}@vPr3YlryhNg#{BDrLgXon1=n>VQ#T62X#3|36nR@j8#X=Jxx??5pk4Ha znD`^If|8~u_3GA9vos{~Pa68{sx!-;8<6GSc$j)}b_sWmg;paqNLABs*ZW&qON$d1 z($DBd+y4&zv`%C?>yM=5qh>ScNm~zCM6A01fDpuE3R#cnqKVOQe=|A z_6@(dpV-x>oBJp2uHP>wA}6L(D$rSR5~B2rHL`$q0#S-I^OREvmQpCsKcyCN?Vnsc ztwi`ls63G~c(vdS%ka0?H#f~%SD~-M6odr_48~#-qtjjsLrmMvwFk>dOa@wi8iM_p zProR%e+$zdvD;9ziY|ge@k(m-s#TA0p(=unaj)Al{4)L8!ZM zcW`TKt9eeV=G3Q(#LB&$rq{4C;BPhXOQG-~F%6gREGJzil=Rt!E3ue~0%;MLbgpz{ zLt%%{)%Dj7p4z-g0$yUA3OKV2J^7o~^U10*YDXWWUYY3%2rsYpqnL zG~j2+yB81;V9+rK+0@!;S7PaEFW73bM=J;#q~40mrHQZDGtQD*Z7LhHAVRe~aiYh? z3D9cJ&PkL2Xa+C^{OUpn!|Mz!0N?1IP9kI4iA6z8Kd4o+=TW7SWro1=i1;6a_70N$ z8Z5yE=O)Mc5H?lWH&$$aaVJ9IX6H>E{CpW_=aFjn?C74Z4c&Z=B-mvY7pgeQBc+EL zD(=4^C=a4wA*aQGkF!6d+upaSfA$bT)q6&t^5KW`&hnpqE{@Lu4;xh6BH>)zJ63iC z|I3MY{7keS+qJLjC?a~n>n~7lYAU9!`6L)rAupu4OE0(;0-3jBRf*V$|N}7?w zqD!W{*|zw7)VlYLUsHI0eU;Z-&7CiYFyNsUAIyq^X>hr zF@crTde*LU&u#`aMn*;(F=^fy;17StUK~d^EwH#toz?hSr|{irn`QWOYV$z(Y^@5L z`|nT{!5tZ#4&h7-u&lJ@XU-nh`kv8lC|)}*5qN0Z70tQ&bVk#_#Zx`MK15pTJW8RO zcq(j8+_>yICUbmjL4?IZ6ySf0a4JExhBKYSOH?;SdJV6}3xi<1n^t!jHiRIozzJ}M zwl@NidpvmXHXy)!3IMb%{^`|S2h1@7->8ftWal@Lj4w_Re!;^UtmzFiJ<@*X`QR5UKM z73%CuTg8R0t-M##RE5frR5Kl<_WrfytKX-yLw3y8qu^?#PDH)}CK?4>7+9xTnpi z{6(?;(I}8TrzGH}iLl#~E$CDjrnz+W6>W>F4V%QZFL7)7o3@YoSjMf&_!_ugH2NIX z8RMMz0nQnhMQb zrRy0+M%h_?8vHpje)))zfT)5NP3PpHLr&{sEh{|gMFR0sV;y6WG51(r$#2cQM&g&a z-#ok!*>fjbw^)D9NTlknW8|ntw4q+J<`iq_M$nbV-f( z{(3(XONL?kkU$A!p76Kp_2ql9nLEqAGh&l>u&nDB3WaPlA#|4D3PzuA@RI^~P`)dz zwx@!=6!#CvHjLL+ZOe9+>58WY1JWR?k{lYjp|{#RdUex1KHdYqV$d;xat7iVf1E3E z=;m!d5>0(;yc>JhVYti=zSX1{oh|n`8*Q7wz0%Km6-A2lpBX27E7=jQR`=+Aw-60DL7jlRY?a&pfl z#H(n|Prf^>Dd6Za6%aFyZx(!aKt&e%fP{Pa&UPQeT9^HE`r!}FU)Ao49Ad0ZT9Rd| zo)_>|bnVLf&3&U#7yfzaLk|nz_5HIZ`4Y0Ghlk|zIHpVi;8VtJ3z7MV2*zlpZY`?B zVTT;sg35swaY+3ex~5Qz5*9oRco2q-7c#$wKy*eVt)Bh?7lmF|>r6}yVolO7G@aH@ zY**H^K%fA6R(;P9aDWJy8jWv{sV5H$>fJW4Py4s61wsuKGTF6?dAFFqwH|PQ`;RVd zT-xQ7_Vf&_dWNawS$qFv*SGokIU}sOAy`OyPLAled72r!;p8tb99B0F@C>MEwZ#4# z&)R_(b_;u)Jx<}LL=|zfVUyf8JUZF$iy+^D_jEk&TOt`EGNhDJ z$WSCwQM`tPBy$Mgb$9;jTkBnCowH8o#NN+y-@o5AhWvioG3WlGay9bHj8q>hBVPtd z5;{&8LK+AZab{u6i&3K!H)*hfTQsB z!~;#=D~I&b89C0nk?U%tk5gj9L`v@-(xEn8Y)c6Gc&N#~)^eprnJc>k!g56KGs6bW z4wXuL7nC_35&L83(j4zKBx_7`C-U3wotJ4e@G65J1XnE)>L6~6+|d{=-g*f|OXkf~ zITsy6Ud~O)PafrSio`ZfXmN;(S%?Om*wy6_1l^()8PlOYr!0iV!Eh~dC*#rD>d_G( zrs@?$+DS;r2@ZJ>0+`>LRg^xJhp1awS^Y~@@M+Dly!%=5(P@&ZgZ&F)E`oAW(4;O$)g+?X(wHzLcxEI{wrpAGW_6i@@wqnqrtm22nhUs z#GK;-o@6ro{9^m) z8|NaNX9#M#Z`xbf&1(D_@b&voU1_E@*oQzL*GmVTdQvE-SC>Mu|5R-q`kit-Edu5_ z$Ij1cr3Tc-#&`E5)nOP#k_FBZfiqMgNG%L>t|x~vdahIA|5z2@?xy-2#*%^hgRCk^ zs)Ez!>&1Jhe`^L}D6emea>^y5v^wcZDL z?$b{8^V;J5S#3RY%D>d$SEP8~g!Jxx#fOCst179{didEtmR`n}6&H%Q`+vGlb93i- zg`~Imguv6>*ySNaY}q)L;$#jv=c=Qkay3?O+B#;=@i#+tb5FjyYp1TpNK==za2=cV z+Wl~f1Pw!-18L#i$7t4HA-w z4+F__OHmh!8S(jr>Cx{H_@vCcJ3E`EB_%5@dg2|Rv^N0k@$62^x|S*Y-XQ!pmP{CP zXDM%a`cobWqd5yJrgOLAwyb=AcYnawVB59k5PLzRiaTxJ!X7)j7b0Ne?h4Os#!vTQ ztEm{~LNLe3=tDqO%I-7J8D1(=4#wQ}s=%@C)KF1t7h3jq-|;;m&tKH>+^TRQ#=IAf z{0U={Vi2u5$tUF3v-<5QmKrlB)z#KsHR3>emSA|l?Ol(kVjY9SII18x&T&qiehBYR z;4g1x-Rv};`{ri>XkACjq2{t{tIKZEPvPB7i^v}`JwllkGgF|q$KDyBj8Xi$fKf$P!&itw0{_s&E0I`=NGJp0 z$47#`B?MnRtMa*=CY>%q;s4k$X)^bHY`S@cV2!%Frfp^PZ0DcteYolF%kFSbm=g~b zk8_x*m!g{Y%f*h~sOjE!j9zN)71FL2E)%tZx{ta_&or_xUS-l>=BQD~V2vzKT7BG( zQ|=8*~4fx|ihMw08HK zCDg(JxmCz~Qo!Yk1ptQ(hveaHA^7SeEII~zQ$%90WO6}s+Q6AuuVR@O0*yr-jg409F7KYm9R1zw;o zjP>tKvy(SdzkPV_H-`b2eC0=Dx3i?omVGPnuw`Cx&XQsaWjSZB_Z$|T?{7_$NEjrr8k!zJ#O@IbGEA^m|z(DHIn9!8I^ zsUH3NX9P+DBXe_jODmCw8Wl2I5^``DR%BxSxVdkGB+O5bHRhfnTArAZZr*zNoWT1f zUwt>=@ms<&@Ujn`>%YOEY)m-f``NQd?w_TRlz9LSzu5rp+P~1v{acxGHeU@$*jelU z3bM18W1Jo`VLkrhMdBp_Bp7enez)O7s{EB&86JyUS3U?JdF~%g&=x`wV#d9F+GR4xw9+U6eZpf8`;y!mOGKlQkB{*e66BgOma zI+VOmXRH>MQZ=+iSGU;m?4T7vf&z~;ue|JDQyrr$-6Ec;^h06P3IlADtc^o+l78BU zH$A$aCJ<4rx-L?xtLgZoJHUMaapB>?%>H>#x}JgUe?~m^g_@&$jOM#5w&MZiQuuC5 z=)0(L!eKRwlSo_|!$wL}?wTp5NCP*=hb0&GzJ1;D;>CU-;Arbm z=*#?jRWH?gR~bGp5d3A|1;iSj!3|`ObuviQ`RtLn#UfrslE^KB#!QmsWUj5N(eB$- zsOv$YN`|F6bLfF&k4s750we^cl#kG=K(BoPjg}|Rx5DO`9PmroU{CL`b=ybA+;ses zbHtfLd|i0pAJI;$9)(HJId$b}Bj2r%&>(%}zqh+OXhZ!@3;td7a_AIs62&_nw8T?5 z!=w*d#c}&*2W%k$E7x{?Gp^gPt`Z@(s)M!!7F}aUy`qgw=76n{ST;Ic>+<@dq*)&vv&#Zc@;v8Zc?seBWf? z8PQt)K`8tKOZ0o)eez`Hdf|WZhuvSIA1^!_=8*waHTGYe3D#cW_e2MXB?(T>wUFI? z@njs*DA}EZ{1`Rn*1Abm@PaE?KX1U>p{K78{%uB!q`S#vJotJp^bsdVs3R&nwN~&d zQ?k##{I2c<);lMlj9)?o6<#}82Pj#(h7h+*j3=hWTHBak>ZaK82;UOy=QS$)N?pzu zNBfynzh~6{nLv})mwJjx&;FVEK4u+8U3Rt8e1LX zoQ`ACHHwyTai2)~L%RLD;6ceW!B%V_CK|t$7_OL42QEb(9Wf2p?eTwbXsI5ZQLV5Rsr!QwXegL$lSmifRmezun$^d|Z}q9gGRZs?tvnHmfA%_9-TaI{&v^#lWf za(_1Qv8>Gxn%08z-vY$;&uFHxyeV~6Gu10r?Fb(4iEcN_?S6kyogC-d-^Yu&OLOOy z`de;#@vDk#N$8t!#to!8X}M4mtR5IrLl=KGd3z`vWGsaI0oLDMlwN)wSi)+DtTht; zgPCEb@GJQO0si0r4heCBw$}K5zc&GqT!) zufKY8tp8el4K2lQ^3pu*$5~Pb{2tj z3ggt$HLBb9`>b>G2=uC&Tx1*;`TYE*gub^cIEDF_zVn%omhH6o#jsJW%#U}tLaAms z*}P{ae1nLjoYxVj1V#|$Gx$reoU5+sv~V+x^#(=54`d2;yYSewLoJEo%R>}KPUD+k zeeHEMGW;oqW=slO=GyM(6MY2~VJc5;N>Juxx2I^nc(tMWz0xX$j;ZjztehJ)!`DK+ z*H5oiFI_4y*FmDu;r_yOmLdJ#4S*BSg4Um}jz1!fDs~p_TdIiC$J&`y&;$)cPJ!yo z-J1gsgy$@a)dz3CDGm^5d;ZHF3BS@)+Y*8@ONJ5;Nc{X#q<>fGO^f;5An78*V#xAD z#(R6GdTT+@^q%!npVkXDC?D%=XW^}r<@m53VO2{}${gE|lM}PV*H;_4@&1_|4Fx@R z3=aemRNwF}g}v?Vg)-!5LP38ZQGPMYZ^TP=65Q!m@huk;D@?pU$&HG^<9CJs+pmri z?gZPXz7HgfevVWNR}(^Gjq?Row!TIG<0ES5r<8JZ*{9XUGWp{5Bl#r1*T*&Wac$=g z4_nDnL=4dQfFp$HOKEMo>D)s$V5(7Kf}|<4jcKM5JmH%Q&O5}_KN4Lns@~1*@#3fN zQ=J)E<~eT_-IG*>#J>hHN@8gWM!{RMcMrG;j&kVd{b@SvJ3b)u`S^5+4d;ugllcxl zTN1M?pV!(aMTXI{mUS7+s-G^b zahk%xZs^S1xN->ypeI5JvD{L)Q!ZhNO9inYb11j|={v-qo4xP~`3+=p!@3h}8H;BE zvgZTy;P^n>Uve2U4^j@S@vjJXkd-B^^7r?vfky-i#pIy+%LDqjn=U_a$)UdC41rgn zm2-)93xF8I6I#drP$Uw-oVDMy3#Pti`yXZVLciBA|FDzN2iGr!oInzszD*F;V%W}? zW%Jgptrit4`2IYsxDn3BXACFq&5)%O3*8%U27>Efi0;)a_+KU1=Ax_E^~KkDSo3{) zv%xJZ?c6WUTd0!7!26me!640k|7(k``pCEJ;`J|>O_4GnHE1avXUf|PO@8gqt|#^5 z#Gfv`DKSKAQJ7mSJJ+fDMf>+%9`ur>Y!`jiR2q_X{r<8pHBQ5_p6&1Zw)Bb>JNWD? zb)yP^^YF>hE!3?`quGsM{Gi`I#&js!XW0@Hl%Th>IC{-yD^1Wdv^Xkym@mJ&BeG|r zEk53a$76H{PqN^KVr}U%?8!J6K^$Fn$Lw(#8$WvCp zv4xodpZ~#9%4KfhDi|c2M@Iv@&U}9|m|OQmCmQVuc(jo^r-tl0B5K5#PewTB!-d?( z<@v2WD|u1={FeHJV-ahdavV3f*9vg-0XeIDR468D%Wc$poI^rd2i=&ZOPy6izb5e< zT=0W54cK2+ane=~Nha@mhk=z6&mr6x!9eT~6pV$aqSvd}E#bM5mpa_Ns`zt!Hi=ttlUiTJBC;(NDEZAi2nt2JL}--isVJ~ z63jdc!m70X-+8hZ?20ec$v4ef3@;@zl%V=HUgKr>`^djQWpvgyt9x4VM`^LX>V$#{ zr-i5rU#(P)B%K>_P%OI-H0c-DX&NrWe~FIr(dTv6azTo`t&-bcaV~ZXrR+}Ai(DgQ z#WAsF1$AludEp0sTsyaJ-h8fg(9ErO#roM{uhO;ok}XGO$~IHC=!sJE>NmaDekxuf z*&17`fF~$_iPv9;I1TEbMqj;sQPr2b#XQ#agc%st>MBxQGHHSRan^J#Mo^scA$iTK zubFR;A8fN<_`JUOavys(M}Yx_Ny(H7e__qoClq3JY}Sj-!OpG%+3#>gnf9G4i-K_d zK&&O5FW#XE(paG1+tJklB@Dsp5GFv(|HzWSv&VszN+$R5zSW~Sc5jC07RhL}CD{j9 zO(5kW37Y^}j^w?3iUtqToQWUAsCq0`E+{nlRBK)U@^n%4$I600dr|n!PFP9=d^ur6 zIruy%`G@aVkQzp~12?waF=7-X7bCbW&dShS|CV}4aCDDZ?oe%O;JKXvlddb?ZxR0e zThQw9sXJIIeyjnPkoWNgm{sxve<`Hi4uCdq;3@a%H90V$)a$GDWQo3!ZXne)M2`ti zA2-^yzKG)`2v7_w2M06OlLm! z_)ylxJX=|=D@0Rx#-i>Er8Y@n0bk{7ey%%gqf-2}n8=eUqB3!MQu2|z8YMpDJ73@$ zyLUTs*9Qtau8>P7?b>whOgzPhTwT|+?4FtTwk=qo4L`KK^@BRdqzT4;>h7SkKv+Y} zx`@8psi;T4pvE-1JKr^_93{X0YWc*Z_A@QptOw)LvK(Up&upM!@o|N3s+@Kk6xWu- z13KQWx;!Hat#N%EC0lF6{9KhJem<>lqNlBCjY~XA@BDDWttQ6j*TLfqPg|@=h_t&M zBB-vc99L}Qca_pF;a$vit1V`YJg4PPjeS-xx0L_&LUsl&q=_R$Rsbg7cWMwUb!q1U;-2izL7zBi5*XbL|7}+)(m&V5qV^!kD zF^CW++Uw_SLppdEO*3iHyhX&}DSIqO-A!z~?wXM5OqfI@Wyvm{0?gHu9xhp&q+N`{lzffo5)(F=vAhi*)^Tfpv!ojK-nZ-qtz0p zk}wu`H6cQp#{xMtQX}KiyE1h@thrM78s#)aAy&34ZY5bf^_3$5%2*uwD4brga?s^f zp?C@?;ZCD_>VG=f;L4WH&Ythb*Hi^HPqXid`WvATxU5~f_WrPPkE{nIr_cN!%nk+cHRlf?XPVNefOjl=67kJp$5k+^fCD8@ z)?@Sua0DleGmv2ScslC$znp`cmq2^U320x_G;E1*MV2~%|kd9pwz*?pCYgv*`Y|y)y*mQvJoBld;X%L<28svquOAINIXFVBZN?D zSRRAZM)=R>VOX@sm8zV8*oE4ew)M@;%_IW&hr+?%81HFQ>*q*C&*+!v?Ck6@x(`rJ zqOkq`Y-`|u%i%)uC~w;|LPX`v+4jD7SuW=xmV~(W3RIED;D;Gt9q&K)+0}e8D;J+q zo82l44vw`-o(b&n^T(MB+tMSn>F5vCF<5s}`z}ue@523`sYAx!wOPNWt=&M}yQ@uS-j1MW1wfpA8y|(yujWvt?0awSn}=_@>pHvqfqYYaG+g>j|ecsO?Zn z9@ZbFeo+)3shs%i9$n3rPzR}CR%Y_a&UQ^W%ti0968r&r3}lUHemjs^RaKQUMFN3v zmmLF?4R2RNsSOrF{9*qiCMK*<0ANco()2AwQogWS*`Z@ZlHPit@a)^SCoJn6!ri) zrM+pZnqPy+4iG<0sCd| z(&ihe7<)+LOw#(THdoPMBskXBuq)S=gX{0YKl*MNSMI%I+E!NgBj{P{l=~BmiYFA+ z@bOoC$aEEP5^vF`2qAX@tjGD6oA3{=xvF21aeFCsO0ix~zak0d=3j9h1$rP`RO~+2 zU7WIXX^Kf2uYpnE!>u{)`zw|z=`0;E+tYr}W~frp^T_e2A9ANCcDh{%q-`;m?jXZ; zxYnxZY6WFW%F~~|0p^B$;mVV8hrTgr?$ike?OsiOeB1TzhI}f8N4e#Ysfk2&*le7y zx_c6{Z`sSf=^XX>neO^Aed(_8H77r>4BGT`-U3;pC*SGQ<2c?OK>?cK>g7OBN%<8d z5mAE5ix`Za8zL}sR$j+{5H*x%Fk5AFPdpfu6HA-%}k<)KPFWnUGW=R%1 zTugjwfsbcwnR@9Y`sIJsCN~b;E4$Oe!PWDxONbbw!GYM7e+)pOfr*usf5q$qLU<;VmVYD4@_jJO-Q{}`0lES ztRuqrsZ94U&caFCaM~NEP4>UjhD%ohMFG4jx!igQJxkbfClt4RdCyn;&Xw|gX^nFL zZ3Fe#Rf;}DWx&c9LM%50w>a4&owRmd!c5C_h34pftM2=&=<(a5E>aXIpDAX?ey$NQ z)AN6Nt6sP3696=%qAT5gC+l^!jZrI1&HAm%v!f|^Gp`Um@Mzn?%(XzjFfY+8_L#Yv z-hMq_Tde=a?O?B#sllcD-j?(j|3$HV36zz7hCk56l6jdHKC(+Lm-e)#Tc$zk^RDCz z^uiAentyt{jkv^vVp{)u(d@0WuAS{K@fvOiLyL!GCGKCGCYLa=AhiyI!}U}rUE^0=H>7tuH#gUI9W#06kd@V! zJi87&B{&nbkM%yCoN!zKYA+DEd4aj;YnpWH2jM!^S^ryW~?J}Vc z=0qRP_u9@c#-Lgpzg#=iLv&U&335i%-DKcefXO&uXnsPJp_EoFM z@W@hjE4>6zB9N4n^SD~Ff^srVzS_BnC@!(zt4baJ#uF||rBStG3(tBA(^R)-M>2OL z=$l(#mzL!*r*Tj#G_$HGcrQ`QW%~V;YS81y^EFStEvgZw#>Z+MwRlKd>lp}41XbU) z_vo+njf|$LKXj9lX<9YKR8!7#_ZEo`ouRpGw~w?3blYR<(PO1^JZ)r$lX~w+Of~hm zRlbKQ?`AXm(lW(Tqa|f?{!d;M~wc>YBIrn5Ua$ ztHKHV4`J^6(~1_RvO8Upi?A8;Luzr?gx>(+#dz9qsDQ>K3bzmaq$=dZi4)B7YX8HY zAqe@gz)%irez}pNF6rF;{DB1Fk1O8=&P2!$Xt6KFHNNm9aSmreum*6gB3d9{)8~UA z$yXB49x$})BSe3o@R1izHt&iy_0NC4v_8LQvTI^7Q8p&)R>p(L%j z;=0Xl(~^JRdnjcc#$IzX4a1(y-N(MubD~Z>`n=Y!l1tiZkgs5i%$pkLi}fyD#rS4S z{Y^yJH8gi`TdK;a+1#bK(4a@(?9UV4L#OSgHbt_pk_$sTx70=5KQY&-5{w8gI&(0a zTQ9&8zcsYsNX{>_@i5<{oRA@X<#l*qD#eZ7WWL|)O53qLeq0U@)#T2g^6Ku1q;$uF zllnaFqbj1SDO9a;)dSgxR)vW@?~=swO?hOeH}h4ikdz9L!5 zrWU)IWnnYk2Em5%39P?pNBMWr`qmw|_sebs7{|mnOl9b}z=Q-zmp^6kXpk>bu~^R) ztQkNl9+vBRMss8`(ucOWe%cmS8ke_qnr1Ot^fwTM;p2&qhe^?wg~eG@=DmdYc;~7N zP-z~R7|oL`jJtu;?MEZxN@2CD$k7*ByUgiJ&gJ?4*cxxM@pEy^rf=hi4-&&8H1$b7 zLyXr?1YeOhoyU(Yyx(oyid&b6?NNz$Vq?Y*M?ZO7{*e4G0k8=97!NW=8M~IS{6po8 zN9Vi1*lcI%L`B?7=#$T(?T8c=h9HIMo!+9svm@`LgV*AbldSYoZUkZ<3RB*#{JAqe zKL5eLuVz2H%PvLofBUZ$F9|!dw9FjMK3SPM5D~{}pMOJQm}>Y*e0!y!gp-_@iDO9{ zjAn5WHOKNdJFemk1%4k{c^+k(rJ)i|94BQy*OW;+l`=}T!f30hPj65>bX{ZKY})&3 z>f|tEQk8nEKTgvXotID`YoKQjNg{Xv;v*uuwF```8g)1KepxarQ@!8Z%Yn&yKS%EQ zRb)HM=EWKZoYUrgFMzzB!UZfVF47oe z6QCjlL;Twl0E#T1g}S?>R37V}TJx825y}m){)jVB%NC|x>NleY=539COfn$B(A-e= zmcYPhnCN&fC4~j}MV-H`t@uM!d*Mwd9thk9ZSMOf$3XJ|;(rWV9Rkc|1^M1e=NAlY zoywHV$525Pubo0pHu$!aQHSwz96GcfVBG|xfSavv9ZAsM;8A8W_6=SwqnU*&0@mTI z-;^9Y<3t=df8Kfodz+Soq<%sYFUx(G=@C1Wq+;#8v}{mzFFHlwl*BWRii(^aUj^AX zyegon=Gy#FFyLRbjJfpYEHA#B?`qUIWqG(LLX`f>c3J6@4u-3T^5TN`!{^wh(9=I;4Nf-O^Rar#Zk> z+lcM=W6#b>v@eB$+lO;q2!IBf`LvnmV~9tb7~zP81J}zlA(`Db4@eM-Rwz1SVdICr z=J~xodH+NBRsM6^ueqXXOTGi|SrD1O1QMAP(8;-m&51vCmmsIPRuW8PH`blkG zuG;)p(ra5FuSfqBjNawClb~n-QPeW(zHrJ-8`dh<9g_y;ir4vVDRPOeuTz3}EZY;f zv?W8eFZCcBA)S!k7|?tD#2WO4Y^m2*(;te4rgQ&Fh&M`J0t6j# zoSKcb-myc!`l}cN8W0vmiBskOIVbQj>jVS@Bio75?(Wg{gIm$8ml^1&t=T%d-3rBq^@&cs?zGKv>VJnmKQN zQhNvsTf^xc0FQVH9jYM$)$P9`K`~qsR~8w@IP{9nrG@wKw$S7QkElCI#=hWGqp~MX zP{IYR*1}&<#j&5~V%T{~l}-8Y#>s$3 zRu2TcBD!TBr1&q2bn7a`i{A3wGToSdV_mmGmvdz>S8Yb+KI`j#( zte77q4%|3pI@5f}_0vOEoX327d~^KsFolAck&EAQBsF;aKI+go~QQ+05j*m z_j3t-7a(^4-=NT{p&42`E&A%|L@kaivS$+N;HTr9&SJX_h)EQ#g;K+8k=G7}YlZ$jasdE?15ekwM+l zggOuYF{E9(bazzTw{>qE@5gugH+j_vt|4#MgW&qlMo+)yu088Ns+YXJsd%$lfQpU0 z*0)}-%v%b6V>+pk4y#^``2BSfyB=?rd4=(sF<)h2beyU$a$)uu$B{^vFbJ@_lspq$DY_TfTol^~& z|10$B8`vKAr$dUElZ(E|;el$(+gdP(EVIYoZ@Q2Sh+EA;e0(>~0>Sw=`ZTDFaj|q} zW+anbo%{o=C1T-E^umu11%wX3SGIHbE9`fVq4*v7zYgt;)Nl^$ z!b^@4Msl-0D014_BF*!(VI zotnl5p?9((JZ>~e&!mDGp%yh7jhd8L|5PvIgFurscy9T~0bzU{SsQDw$|Swz01O6F z62ge3{5;xRW50g>q&aNh)pM0>d~k00b^|I3eUea>}j!<#c| zhG?k4ng1GD$IV`BD;7qC7ecYZF7*49;>-tS@-|3t`>N{7bFjk*{X1Sm<0cSb1*MY- zjmD0T6?u60#l6CGePilH`1dK$3)w~`Ttj zLQh-Lh8N`edHpP(af(RW7P)w9Lvz#X%>FoPdvqbES5Ttg;*)V6uy1=wG1875$a>pT zDp7roJz8)_=MAsOL2v#brE)H}zU}dPd$RiPKkVk)Ex6L);eLivC z>=lBhvQ{~iw5?vszLTBF%9gatqYA}B+fM&5CV~5;c!_ke*t7=Vn1ezbRSoTDyRS*6 z)%!t}y0c|CZKlaV{tjxFz&AGq+QLvM!D8Ig0-ryqpoEsF`2$Tvw1B9_>8lny{asGv z*7$qG*CxMk;hI&!C8{=DQa{rC8`#jOALCGY*NY9iP3uda{_I}#MoShv^8QZ6~z ztmTw-vS-9AUrJ#!)|27SHQ0A?FxDbm=dRv_=CN>J(s~Os)En6>dk1q<$iidH3i(a7 zwH%}B|J25nQanCUpPVZHd-O#hGzs=qj*i;<-Eo<8Yw#T4k)*ljub{u6vkTXxTCy)>`mDBr_5|B36?&*AP^+)}qG$UW(`NDbxl{>*J34v9B2teQ-v zg5vF&11K-(A|GgV_ zfTzU<&Clpasb{LI5Br0|tpx2$REXaO|7W6RIc+Pad$uC&#H7X4G^T=7)^380F(bJr^>QT5ZBtQJ&i-QeE;eFa%q06IG zRvM*q7n&A<^H=q@pj$YvH4+D$S$d50Mk+hC?RLFdS6JlGqNvO(pO!o`h|Us7^hYtD8yQQ)u zy(wmhZhv1r;l_yLBdEY>?2H=r@(z!7JApUhWC6i8fdvGy3HuQzQ)>L0_mK6STqDZs za3m)a8w;v-22@MuF@mCbP8!@65qY5yCCC{jlSib_Ub_}8U?z9Zb@^-)hGK-U#6+y$ zaMnOR>8VW9B=79hFa$gmm~}e(d<+$F1O5h8;Zn6nm?Xc!Ch+}l4v-MYmYT~XIde(h z!kZWo$#0!%=Vl$nyP*0bidcym4pxs8Nu0EahIe4)X_;jn&nC=C!vPU;!*p;} z&Fu`dX#mvOi1(#@VQzTN`2(t6FOYC@P(O!;p@buiiUSjeJ)SL&uKtiW^qp95vwlrI zhlLWBkDj^tsm0LVK=K`AHF@W<&_3z73S9AL+Glq(?g$1*(gk5IDFylc`xSThney3< z2o=-&JD#Dg{jW-)JJCIrl})umw`-#Y2^J;IG(=4&!H|+^`wuFqu;X5C@`(k>Q6(iM z-H_2K5t^~k01e?EOt+~0xJSRuHFW$JFO`peloAMp21aP!=_<#}hp7g}d8wkI zuZj^ehvNeGA8)N;QsRex+T^zRm^Tcql^*l(>(+9LIZg#pVc!17uqwd4U5^%iKZ!C0v(123F90T6!mXq=EJRll-Ww&tRv#N#(UWN3C13bYhmoY4% ze?;^lJ{(-?$lhs?UQ7+KvlcU2NvbL1#Kr$tKNSveJIAVM8Lks;q_lqDzp!y5()7Wp z5kD*>24aFMUDOf=b1ffn;M9S&4r{6(^4*i1lMg890kbWuldErUhfKc(84)1>4g9PVte5Ot3kbWsY@y4NTOh z_Ztlq&EFd(4gUDNdUH-SOyc20ngHmp@H5}A)@L=Jsgh`L|t`1JXfW2A9 z?q4LeSzMdL<|p+PqROwV#pyJPr0%(Vfooh_GrTSh2&x`^QND5IWr^QM=-L#|v`T%* zFuSp!pZuv}oy_#)(J8uN9j&#Rb4OIHnygLMi<5rWc^7ma>T2_-_wnT)DY!Q3k$Ef? zPhZ&2%Z1gw%T~v=F|s5kL+#VK_a!(>IkBe6N9J)pi#YJ>a$BtQ?qG>Fs4_X~yajc) z43s~j+&d|EecG*Q=4RcfSVwohNa!JJ>zt)~zASBPYg2FLx2RGWef=j-IXb2)8z zta5`h35FT(o0`0`ZqD2Z^9)kC1ddO50oL*C2<~>jzT4oFX|wZbnA2O zau{xuFiO4(lxyM%HmgI+%P>%b6>?!AT33sQc6+1iJ`GKl$$!IP-ib_J;(|E!UVA+& z3n}mGCb4?31=!=D{E=2NP19gr;Ek;8#N9hK-Rb+3Hxwce0Fu|gNbqqv%coKHiq<4r z>#fVQO8s)NcsJ5U5>4KU?+AA|zRt{sB64zhU0n8SYD(dp<%5s1W(+)sVKrqG>N-zX zhf3`%=8gX<-3t6grVI|JR(FTC4Sfu|F*xKidX~E3_O~Vps@j(+iinPjNVWL-v}=Zw zx2q3?%)end{meh2oO-OEQ^x(EhvoG;U7y49i8Q8(Hh$2Z0}6DPrc^ygVee0AdeLqU zv*Tfm`e*cE&o+R=QV(@s+(Rc;aWQ(sdo^7|cIL)PUIHQ{C8}#>2`~c}bJ|i_u>MZX zMo@b|nq)~a0UJQR6IiZr5RHGjgzFlHy3Nb&FwHFr)mS%z5_pAKk^YLV<)x_2nAth9 z2S#0-_9TE6k`z397>%HH5p(&>xkkdF_qYM>Zg5R?S;x;R?z3sdqxCPU>y2o>Auox| zM?7E3;cKnJjyjHx;)qNLD=sb$W?bzPy*k*vUDm2_DYxo)jOar$|6#(nTx}6tE)1Bo zB06|n>|YWRDIEG&x(JEi;ZaONd(RCU2BD{fKhmrIe`z)v3smKZ@81&CwjgOD#ey}KetJ3Gz zH;+bUKG_l;5QPk8k^;(JX*xrn@MrKCyhY#bVi@O|4y2C8k}f;2k6};@VfCWj4^V6A z#LImBEiVf`L}1(sb%_V=-6}33TJrSt#gKJ9>znXbFiP!xPSz;clb{jr1Q!lIGU5e& zD6+a6T0mR#07RACEuAzwbjZH_v1ib`;oTeGD7@nteFWz-X0}_aLU~tS_8k9V@^%sq z&Igv?;R^*i0NZl8#HKxKmr0Elf(#MUx%$Hd@Ip~&_hrwZW_WPB^=)T(o`bROmQA%sPTZk(9z+&qr1un1cm(s3xqs zfD=tjOzv0`U1M5WTD3+wks5Z){W@dhGd9a^Idp~H46|5mZ7t3$LYo1`h?mYJcYVk+EllB+m#!;-i&&1eqV~*5qy7UU!&U+EcgFh9%nZrxH%>1 zlwI#0`dax{%anAU80U*|%1S3Vtm8A&pyWMPabw6U9f@L<8Kyo>vx$2hTyTVbx^_Pg zbyVASC}xu-C3`=l5Aw10o6L*^mlqou{e0ug2&7X4+Vn*AqRe2oyUJUA4R?1>K( zBU-AV{`NUDG+8P z$^vXRW{z=rfsFM*;(6zOg-?wXGxd}aPy$Jg^CYaQJG+a}aGj&FGi8quI^kIHlkmwq zT&cPV)iqTnNEiwYoxLYhJd|4VqKOq4%1m|UI)<=G;~>xD5(sK4(t*0+tGo) z7x@{kBy0S z*)P1Rj8@N%K3M%p;#D~xS45DcpD41M)h zWA`ObecGC+N$wP%F>oAjeJD}AHqCZ*MG zz{Y)CGxZpHQc)MxHZ$#CP1fq2`}v6SY-L z6eA$G*!}CxqC5=PYXPLQJdx8i%y?8HqSlL!_<@B~!Go&P4?-Fc%|GNz(h8NScfTQ+ zJ0F=A5KgqulThb2_ook9hw$XtVdf+0FsAW%A|R7e=u;Mb*#N60>3thkyEUlPnj4K; zqAh6sY*B54&+-cHZl%=A}d9f56josS{S>f1&HNRZb4{Q7h~h-XdgxaNx)H0g_zlaoSq z9bbkfKbRlApSP+1#il7>Vnl??%bS@IT3A1F{9E@30FV1BcW{E$xTU7Yge{?p@(4q% z(QDgprb+v8YE*OZ=>Gke3sPgY(bsKL_G2*hy*SUAa{q|iL)od@xa~q@w`LJ{joNps znxQf8%(AYqIDQN3%k~Y9j=$n5CgTy3bNO{G9+Rl+b(W0_wB^}LNv6c^KQ9xj>yX*Y z7qz9uLFKrhZ84SSfPA%{IXA^m+qmX+w`hrW7bIOc$BH03DTr8dDxk?%`oUF-qPN*u zhdqy<*K3O%J+7Dp(hcVWM)b^|7h-jLG!I{VSgyqX@9sRCN@U8U=Uz6jum*lR)w+E> zW7Gcvy zgWg+)eV^i|^|o=r^6QD__6moA+--r=y$Ri)PcVmk=amuE$fEcOLt@(bAdNZdZE@;v6~=l*a)D3 zU$O}N;K0BD#9`Z^SUdP6Z)Rquj5`htND>&3zHLxZo=34{+}!q{nbR@Vtc(R9OxL+@MI$H{owHbItKt;;#!B)I8IfZbJITaRqQFW zJ@j^#sLZ3|{Mv<|Vs9Zfg!Bu_uKTdcu2ff!N{gwF{cO>`wQZBz71v!g%Xoa6W+a%& zo*UXrDvyPJ=nums<>ZtpVBdMeS=aDCBNw+*ue1(bsYU8qfOBqu0ez>637 z(XTM#_o^noDyF7h(YjIihYEw35_R8!<8~%5t0w7ONZ5dU>*fJj*IG&iwSzTEvU=jokr+fIo+PtJU#XElKZ0K)@c{ zdhu5FDaSV1h#9TZy*K(r5%@e(z3$*T!ymQG?(N~$$kV$9*Ci1L062S14jOo4;myoy zaQd%KTfX-o-}l239UapjqpQ1#6rSB0J0gjjAzwKrLMVG%3lnNT?pR?NrpY~56l%xO z0pP-H>8`x!(ibj%&x7zc{s)mF0n;!W5={8JwJ)9qf@wXfnD%>C^e>S9F#y>yn`p0z z*5N7pw>K4(6LvMK-->Ll-r)Y26`uf}#5n&v0DQy;>aU90ggE}q`F1ZCp-PI4sElrf z9s>ADR7%Qhfe{_LN0%#mScq(f1hbQb830Ur51cn`z=ICa zgvzh7F++s*kq)wq(;-B&I06i$_xdk5Kn}8Acp;#HqaMQfJpUkMEV_Ox<0oZiQc^Dg z-W_T8AACSUo}jz@O+@u1Bod}bHWohhU=LB^HY*>2gI<(Yw9D~fEK#CW$9cCZ@z z>C$$N)NH#@mf7`wjj%u6u=sLFU!6+VC{4PiEFC8=HZev`TGm(3ax@FAR>3m@4{i~% zdSHK$5*Mh}qk9NyQrY!ngr^efW+Yq8C>3dy#va3r0lBPi;~)1GGkWd<)JqfczE3fs zgiB;y&oR&blFY?ilJag%F3PZWChn!(WBn2lMlZw-GN2Qq$37WeH&7!Jl`p6t6+S=v zaxBbk-2WMP=l#IKO>IfW8LSr&5h}r%igfy_Uo%H9cwSTSL}DRuVe&RZ0Jj(I#z28_ z8(kb~D`8_H6L$I&t0$+W2v@YCv||In65@gcLau@gpU3_8l0ZEivhnX1e>=4oZL)^@ zjQl6=X*693+5+2Xj0J5`jjSN?H6Xra!@I||X?TN2BmvdPewRrpfmpJrQs77X=QSc%Sw2+b?kl4rfwCG3 zHj`6nJ!&od2nVl%-~DHy<^!O4er-JGEZf_ z!WzwwS%-s#%z+g>HH;D4g$Y|2^Zp6VUai<=hqvT0*p={ukd zC->Q;RXuE1<+ERh-_a7HmeYSDcMTKK;SBRT3g%hA z)CR#WcJbk$n*(he55P6k%X&hYpF}cWHsHC{d9Pi`Ko%nubLJ{eyp+;c!aUo&R46YQ zH4bb2C{(GaU2XNQQj>T=Sfsgb_uQ^u(|tqVM?ms+VOW#mN%=%*{NbS`dFxyp`02tC zu!2M&z>e4^;Wh#O8keoJ=-^~rwVC<-p6!(U&EZ!^pE-2Ayui*==KqK+9JxjCeGj$Qm&Diw?RiqysTwvL|l)i+To1$OcU zKTY3?Go9bNOVqGhu8wABWoqfW2$obko)ob^R}9CmS--CIMTmB>FcKjAQ-@@n7pe-^xa?^ZF=%*-tf2^#2kMrBQJ}Oi0QqrSe zo;IemjAt$Tvbfaai;!`ac~Z{#7HjBxmN@<{O!Scl!_n2-2Cj9o z2!6VM(E*PRz{l&ok6&6LtY*!)Tj|nTaeP40m|ob-yQu5+*}TQqFKCHM+x2{o{54HLpZ4F5ToNlwqHPIc`|S*U(bzYjVa zb~{KD_X12rZrt@F(eY*Q2NJQmRJKxo#?5eNig~t}NCl@FCm*%(P2(9JnS!Q`ZS}nt zK~ZgYcVC&?^jVa;jJ}ReV=SZ0onUX34CMhX1kJ29pQDtN6k8OZWHJM8#!N?Km z7J!6s%nT*OZJlUYpUIw98QaGi$@0lnaiXMbQ7_ z#iOHMa1Eo|@J?>-O6307Cn%h9?}ile1xmE93+xa+8=Q1NLS^>nBTHt(O$GhlzVXHF z3H8jQ$+h=Q?vnHy_}}N!4n+8iz9KnYQ2+OFed_hGAL**JOsh|m0SVdeN|0@V3(OQmM5B%#qK_2ct1A}W>=Mk94 z>&K=MyAJ5~=LTZTf}+Iix30BrZ!{(DPfsE{2TM^h&F%epWP%a!3pdVBw;ccdK5?|Y z)Rw41yC07ZFAb{VNjSl`ql9rlLcvm(W}hF@o=Y?Kl-D%lcMG9Bpd^Z4_@unD$$!5K z;zwIno%Sz^rNoT0Cs`-Y9aY-dAeMPG^>%FCBR8(141ows{(=RSC7E1emK+)kmnd5IaI}J*H>Dj945Ag`!@0I7^hdU+Y=^uT z)C?iQkS!n-p;49rRT9dHr1xwzv#*XsKZ41@_q1prJPJ~d$N30BOw^|sQqj?hhZq?B z!Mp&0gusq7Hr?Z4%~;~1Ny!)~(&*F8T_QQ-_TJgQpdese&z_AVYDsBM2L75CNGe9i z-;G;?x<#cz^)GfG=~V5&&;NgLF>u>k1#^z_{G@GJ2U7ayQ_qH-)czk+Ujj|#`o2v{ zky1*7M6si2kRr;|AU27#x1oqKX3kKCOqGfhHWD%v!X`2&LzBo*L^4N)WNMHp!goEL z-}kL=t+UQLzyJTV5Bq)I`?>G?nwBnHF!4*{vHfvZB;xJ%4ovtcTbsw}p+D+NU zy)0peZut%|OoPL}n=0_kN1{S!sPL$?7C(idiyB6OLs8>{v1ow9T*_`vjRpISK zW%`~8{n$OD_o{#2Hi0WN;3lB)iH@0|fx!y^=0>1~XTdre#(gRL60PF5hdJ4lCMVBf z*dY$>$9cmk7QaJ;G0UQMACeQO)%Pmd6-+-PE+$4yU(&22V#@~oj}1M3T-aKQwGzZS zibH$Oa0lJEiO9$(=B?tRU#)fV1!BDMOZQ~!kd`|YI3BN7xUU$dzp~ZoLya-np4xfs zg7<6c&L4hb+-2JRd~WFZ&)0%;S|tJ)Q{cH#nchb{V9<0Yz+nR}9dEE-^9P|$Kc^;= z^P9P;(xchdEEX2$ebgfdX;3sm$LOs_O~*=_M5^omu|Oh^(qh4YA#`4W9$P`$Tft7u zwGN71n$o;N(ZNLlSQzpbEKwvZ>ox&%UJczA{muhUb%wI`I2*rs-|?jzS(3_xUT)eG zY5GJa;@$Y(Qw+uW?-jNoW$6lTj0&Kg!vIc@-jB@=(F~bA#y)BX<#7mf9-s09Ibc$a^0q2kl#^*< zE4_gzz4JQYZJ_M*IJ9on?mwTa$D=yuLzV9WG$#t(!}}|TS};&Io}2-z6)WkDgZpEa z{`o8jdN`okW@``Pt%8IU>(U>d^ek3S;Sg61;>JQRuLs+vasHG)@L7#47UE?Beg}*~ z-A5*8E`Wn^532%_Mu0x_Cz&n?&E;2k=H*42inF<=hy^*B4Rq4=F6@tr^&_|X#{D$U z2ts>S`>5r-WSxZZix-vuS@#8h+I3t<)d4Rx$>j#F0|oXvaJ-=SLSXk*G~R&ulZN5r z7hnTI2f%N!O98x`J-?nF-KhL#jT2+)+G(D>6cq|bg6O(tZvE>9FoxY`;#Y(}hJ6h@ zhlv$;{pN`MOMH&TB#35GwjH|Szv@_ta!_I*WtdV4vLkgj1!xz7_u5+pmdT4`K(y7Bh^5!$p59>#12dOse681LQM{==9CiQw;_tveaP z0ZEJT_`WRQ+LO%p#wyQ>CabNHSYWmLFlU|4YqmRm$NQov-)2IpnJ+z2>q$Bkc=Cv< zLr=BRj`oYCWz90GG4+7({N2GNk!{M0)`|Z?{6}yoC-e4GL&$MHvKEFNL#Btx!SE1T z?uCsy^TNKAija{_n<=%c^6B}fTeniX9bTmr$PLo<`4{t8)ub|5XK9vMwb^lUy1n_S z&LL;V4UE>XbQMxKRH^$xTY?P)nMmAPOZ(f!?$WzkO!`yuvY$Ud~8bVc`X!e@#g>8@-X)bo#^AFx61wGqw z4!q-Em6~2W-k_boKi0F*yf*gn9Emu)jm>Ozvhn~4ZagW0n6xjQn7d(9fIz!5-l$zH`Ii(Bf#LO*W%uM zaQK0&YN00KoWF+X!0{875-3T8s)H3FBA)_ODGyt>`b(o-*+ft!K!QSWT7UNJRKjX` z_pz-=3+pZ(f_oNrg%7i{N5cwo05y@c;q>$}%*7-d096pNy^F|Hwx{w@flU8tdw7Wu z4c7x{SfI~D{b)lQjkGo=g_>{6uvCz(kX>`@Z2$WhmS-~;d*7~n*FU{@tLL9NBajTE z&WX8yqgNch&Q%H{*>aX6=NP_6);@_ZpC8XXnosAIXvhXC9V zrYpSLA!%%E{PLe_@0+c~DEod?Zr;1dZ-S-)yANnK{Xy0V6p-gby}^nER$f)vLaA4U)-@VZ$`ZS&itFJ+i9wR=V-K#z zx&|7`Yj?Sno94gyb56YZXQ2%cguG?gU&0wbG3?AXcK+&`&Hf1mvW^?FYaO#iIE3y9 zw^17n;1n-n8l&jWbG`ZlC|0VrjK||DfHD*b(S4n*UQ$j3FHSm{AFiT&4qEx8K zF1qRP4SrE-RMoHkX4s<^`vm%wtm-Y4uny=azO`Y4666U(^|x=oW(AD zos<>na^VMYn{@a}1&4C>B^}Qg;=>AoIJkp#1Jj?QiyG9;tTew34r)&bvp{57FnwCV zAvkj;0GB#BW3a`<4jKVXWalp@&@_B9$Y6&2&$P7aqW2g=wcssH6#riwdJV2OJ;tH4 z@XQBHL>L~1ou-JE$Q1hY`z!=epivMLPS{>uMfhxSHG*E4n|HXgXyFlid@mIJajEB6 z4{;Fn)&&0tm^WM9V?L689^_GkhHQR1a~^8-K;j*I;DdQ=9xMPh%z+cuKl>Nh{*O?< z85%f&Q;XpYaPd(zM#c;Oj+KlmeYKI3q##hW$r+HO$^HaGxEZx;VJZT7S90J)F|7m~ zY=oc%llr7|>W?ZVxP4RP16`iV?IJvS6vM>XTl%Ld+KDbfZH<%BGnWbt0^W8nQ>0sh zftICrEJSMfD#c%Q69lEoV_I%~&ijFl;jhO1_ia?WspjWEnZPDc`DXCy4;GFg2Ho6^ z$~5$T(s{=~rHKo9`lX)|K)FCjv$7`{!RMmSzY|_BLY24cG|xGI=W)9N$5!ZV$^$)F z?yS`N;-F`iK}`}E@pI&oeIzGJ@kjC}-S2SfT_Jr-pmLB3K;`^#C*>Q?7HA-_X*Pdd zbrr2_%q91<1Xi{}?8hFyZ-C(fT7zENrxh40i3>f3->^&Mq99!$a9pP2H-O%aE(JJ~ z@O#m&hKLyO78WllO%tC`m>@AlSz*R}uv`r`#HW;CNWwvgpy;5`g8c-h7a^GLUcPY^4yHht}^1g+1Ng8(@gC3w8dEIZow7L8! zx?Y@IOxv&Ht*X>!$Rk-%K0}e%yg}m1LRQBxgB|<0cWnDBtTSkzTT;tm*hN5Y=rG3J zVzB!{-`({=Meq%j$qt;SEnd7x{TE8*u<5}9)3%NO$qva-h=T>?0a_n4ln|rt*tPQJnBN(lWux+)y&SE7}XVk5~Tc-q_h|w z+L7h$TklGU_^uAB;61yAx+x#=8x-GgEV2g{DVap}9yujeWZ4&H+nx2GFQn=zk%p*W zFZx{^eD_$(QT@nZwOu^PHRdK;s?crWIh$=vN3?y1oeE}NY-g}~gk1pHHDk3%)WA6U z7+piGv!e)yoEWjdE9fPFf!&sM@d6y_Kw8hl9ZGIE4{^Bw3s^VoEH5CASqw=%cH`r- zU&pyvkZDyfxDz-qqCX%7X*5GVgZsz_`DO-2~uOw5clCZ89 z&+C?@OP7XETcIlB0>T~bi|ftFDJLo&YYOGdsKiM=95-GE0G3daTIIha_2Gm4N6po! z_3AvTFS0nDK&-%by;7_uo>3M~$sCK^Lh++yeRbY1B_@$?Xn*o-n`(Jw`&#zDU$Z5( zS+{WPIWBp=8mUCKj)K|`wlto|Ey)T3l8RE*z}_O-as#GKt52WF+$UZX&=zJJ5l{%L z0|>|>s*_aZdCuBA&%HhPIDWbZX{?w(!aT$J{V=&SFUFSSqwBBs(0-yYDT|bgOZg_g zbLS^LV#b9vyAPfft~R75eu1fj4EmS_zCQbpOH!~SEG6u5A`!-wL-gh~F$dPdHQTxn z;R%>+#Yb;a_SJcQUb|+^0-sY6O*WtZ+M{d4_{j1s=K-wA2&x1P0G&SJic6o^jE+Zn zKZienJ~NiwcL1L%@&q3u4gu`?MRlI<6k{F!V4#EtAWKW{Dsc{|jWncaUONvScr@o) zX*=qk;T?BR-Xs5O3BVdyUNgT=@Ir+SOq9LOHfeZp@D<^M<(-mZ?rgaZtSoKFdh2RZ zBkEB4`aN-Vk>wF#VUcVG?cT{$f_RWjQp7Sk_P!0xH-vJ&uR0@c!_-pLKq6W~N()T0hQ#Q1^lkd#Ww z5$s7lJc_cXLjvQYmVTRCTxsR*ApcOjd%!8G*?y-u-I|hvaGUJ+A=|6+5E_^G zk*aODSSduCVx!vnlRrN1PQYV8W3F<`BdWutB6|uCn(Oz;-)nra)q$)^^b!C9O6a_{%wFTavvw3%O;b?$%_K?|3L8|@uT{is$+SIAlv zUn}W#z~53fzOX?%(&B}Z5l}e@tE~*cC(%QyCUHP?`L6!+@_SQB+&(_p*9#4HlB0;W zlDy|EUHIZf0n$bnSkbX~gkmp<5O_gacmefua9-e<+pq6GEA4XLxqBV{Dy=S&mQ^X4BKDz$(!%xW}4Qu#2%Iesn8D zw4(uu>WB?yI;co3Z##BK7-RuV^fosr_hmTzfeJ$mG27=L^D*(L`ISo1AC!lQ0jj6E z#~PQgZdJaUTRt%VKz)mTMi$yhbo7IHpQpEu_;Ec-b_|@UPm^}tZfcb3%;|SX?H&4j zVk*gTR+LH^QDxL6yz>8{E~zPCFV;JCW-p&IoYs3@aP5F-b~w!7ZjTUKhp$PYzS1Nm zq=)>uB}zQkvYAP>{jc$qNXLwYnes>Xk~0{x2``Q0qM`9cQ%OG>nVXBJBlOl(Qty8Z zf_Imee9K>?efAk=!P zW`qA+E8BSWjn`+1gzzc$?NZexaCopvR}HIPye78=*#p*5Bfq?F7qhdy<+Cm+`3W!P z1{)8=hY#k!JcWhGbjZ(aR<(M39wBqx;0Bphp!?>FaChwchlx;ThMO^-K?db^Q?fXp6!-ZPr3o!L~w|H1%J^XW7)?gZKYvkEx>Ahg$? z@`Qjfz|NN}B&`!_Da1r%(}^Sulr2o}bRpB9ZkRZlJ6+k{a|!e4IX(wc>StaZU`IR4 zs&y@ta`K+pkweO2%rRyft~6CXF-zd(z)1m|6K^d$#$DODo&;@GW_;qJ5H$*q^mJCP z-gcauC|jq~(>{*omM2y!TO04p4zUe(qvOTJQiO$Ov?nsq{nRcxFJ&G-qLz*h@jwA} zf&`L))zi6Z-1iUVmM2?-MKy^f~}HMDCSi!A-;r*RQkVh|$x1%EHfX z-0Sc#n0poQ_baeV+)`~>BEQN6pNpa%#GE(F5U!~=U`(;_)8Te}j;2pKO(gmrUsbMh=2Q7GX*YOP;4 zRp;}D=3}S4=Jy`WHKkyJa;J1Tf7TS_##4bjP$&{Ck3@sjFq2@5b?xT3JZvI(vO4oj z2_NukwmOY9e`dW9=!)gp>mQS8Gg{r&Ml*Z@9>ZBZR&Bq!&>fbci%c%Oj@K=N}7mX~4;d{e>;9zt5?LwgJ z!nKpi*6TR7mz3N|T*#7iIYgFP$n3kIf7}3gB>uuSd-_JY=zCmkoM-zr7&OVh_ZTZ>a`l~xMd&HnB1M#uu^k3CdcPOv#TvB|Ib>U;0wMT0?GNGo6 zjb^7uWj09sJbSgGhhX+_g=f7#<&yHebJ6T*^6&l4YbA0*IVXEq=|2k{kRH*6jqpIj zMR#UwTSKYGvpLohBV08Sb+;SlpMC%>V*NGO3 z4<9~UFlaMCvJU5lP7owPCkwyy@NT8)&*7X}W^Key!vHi<^fVn15RN;|f|vd>r&ggY zL4JfrIG>32L>}vG(MWz9F)r!5|K!QL!tG74ihFEi#GN|WXrH#L>nf-0C&vv~8N9|H zy@e^guiYD=Q0Z+(-zLc*#0$P5VTu7_&~!Z=H&rGYHa$opcB1V|TY5&Z*BmSzLfXB; zm)SVZCrUg^`C@j$@M=}7pi|Ch$LS95`Pr#Y1*PG?_b5D-%CKkW;=lR;RDiB{QPZ(& zA-Pka-iG@%VygpcCK1WfqhazxmIv4?V0y(AqCFt-{3eqhU8&OapZs? zU7aFfncCw>IhS&$n{u#qEt{`Tws*+e`0yZERhEwmDZPwDfl4@8?o4_lbmC|c_l^L{ zwG`=x3vR7By#Bssw;xD40Y`cjoxaKf4+4InA+WX}p}@zn-I1>Gv6KJjp7ZZ0D^qlf zPGpJN?qPJXJ+nWTQp^@_6HANO-KlmZ@jSZQ$fb@34nRm z6G%2<7dTOn%7^^UA?SfcxvJ5Ui2gY5GYJ_6&%NX!+XTweQ4u@F1!W4N@k~p+VV^i2 zm1!m!33&MeoMx<-U zzO`P$LHg>vw*~mS_|FJ{yjyXYTmG8h->$_hKDdm|HZtk6t!r4`d1~#1GU2?~#m}(+ zBgYP{tb<&Kj9KucM@&o%**kOZJuY>8>@!+MvYLflfVcSnbGjlI!>P|M4FkE^yC;&P z(pcHp{@G5wIQTVV1!Ktgu-RiCMj^Ik1a@(dn%P@>8H`XnnQEkRX$9aShlq~}Ew|0>zSU@Io( z7&I$%o|uV!s0x&pn&|E+iGF`+d3Y*dj>e7>;XSGf`F@|2*gx%A8yI;axB9{{R@2m+ z-V4F|HfaAT@63LcKYN?1%Mpm0|&08ei9G zYrHYY$6gLUaniShkzM#Yuv@~*iFG~UyP-q54kj*Eny@Gk5(pv?E{P zWuwUBRwB-O;3aQ2c&ha~rg~9noGOK+u2?ICHa;WdAvgh!qvPQNs{_URCBWSeU`f4= zCnqPZUiUwZHxL?!IanlU%_9buP)z!U8z2=SJZaFKig8b=6^IyxhXzeH4Qr;0YT^pkmx)GPk?Ma2W|~^v7}vNJdc}QvF%g9*(k^Gs=k8=234C)7W42WsTHBK2 z6drxwALLUm{B1{oXU{JdpKMD8%~6IQdn4842DQg`cM0EErAPf3@|IyG!?()16G+U&L(P%Vdh}p1J^~3Fq z-}%2Cu`iAfM7|`8PwaPq@5nTa%^aBIJBL202O%9*=ik(=5+8lW6g2?J?5P!oBA_y3L2?~yAeOh$H|hm{?vG4U1TBvK=hhJ+<~u?Pg9x031teFv z`)S!i%0!fmXWaUD8OumK+CTW z`+QIupbEw3z_d0V)NUXW07h`lfOdK!aam<7@}R=@F#fW{tL`|TW}>s|aK(B5gs6bF zyZWk>EaF>uLse||ru%p0)~|l=CArXmp+`CBu6_9JcG2^l3CkD(+r7$bTP{scp3ijJ zAHyef(>B~qmtQziS2<0nt=d13YdAUEze0CH-8>=0rq^BjK}8=WtGr20Aoo=3$i>@L z0SgnjN+Nh?RY!MQT&cKmZFRV%BwL_qa-)@Bb>EeSfsf5gV=xqzgWrPnIoU(vdPI@| z02{&?qT2@d#>-^@*jpa#3<<-dY^@c46&5dGO(*$F$(p)9)UTK#&kpmxPG>5Su|cp+ z5Vb#-!7bwB@n1+%4wO@B?#r&i9>dSiPnNnD7DS+vjy;`Oi)3-E{Xkf_y^OIicOh?* z(!Sj#FlE7}xh7VA12}`&0@?Opm$ra~I6PsQd=R*ndCm0I*iRqQXfxUAUeU0h^m}Ih ztmC^vo(j*b=XnpPSc$8Wlfkle>)sMLNMST2s4LPUw(`#(7Ehtv||7js5wueu3cBeQ$sq~@V3>(z3(>zA*)eKdSJU||sUS}*%^Q}CiHbA7N{ ztYp$8Ec?pyaoo6WNH@UpI6sd9RA zg$j>e?iNNFLt2rcjA@lFiLmK7ZxQPD{2fM1JTo{V{|3&y<8|0YmEob&>VFk??MJey z*7@q*rw%r*PzbHMe_RwjdwA9HSV8^*T$|*?Lr4V~G%=MYw!hG7E9dg{hWqXzanZz_ z@Z_UoC#ux0WqlLnqfd8P% z3>hNZ0{C`KbS4cP1Pm`vG&NrmhiGGH9bKWxAqOalImkh2fDZ=m!Nn{nB1)hQuyo;O zDF-hF8O`W=cVC`zU{S)gk5<>EeWX#iX?&Ma^zR)fVMD&_9CAZRnHg}2!G;Wt-EyS@ zHSq{3Od7s-unERG+N{JIo$dp?;hCk=Vjy0F?=ZI%%7)CU=flh3En;*5F+wp~e$PLH zWA@K25#=PAneQ$+QUhjt#boKEJc*lhg$(Xj5oFhiwlk(*07;GPzI7}J!M5|0^K+fs zY(j8^j{kRrm{yJ*ru|V*)Fpj=zXOgW%X7rR5^EUD0qGkhEu-(sGH;=i6{4v!RMiD5 zm-A>*+)U~FnbBjW?B2~Pc8VBE$HTeIBj|tiT8=a9V1UWLG}2#r!L2sRh1LE?@V&#` zn0|)0(bWCQbqWKrG8my?j6?@Iv}d1M>xNXd`u^i^IZ65Tz@5teD)hy}cajme!zz5% zpVQu)Br4aZ_x3{fRJOglGVkLn>BrvAIWcxN+NMjY@*uqwOZ>E9afZo%G}V983h!1sj@l5N%$^#&b?IW-Z6tn4~v-MtvaQQ0yBmg7%oMjB% z%kgltLe5QW-mb5v%lP(g6?LOSt4>H2*ldFpacvssKCJ%WSEs(iA`ON&O<)Yn5??vl z2J_6FXbeznuunRR=tnFs2=<7CZdT{h+#qP6@6EUG%xIYaUd8%vR|2)QdHQq!Cflzy z7P23xqD_#aktn%L6PIswn=xqhKNZ*IlaL4oe0l}uW4{sIwChazA8!TX<`k-{IRB^i z0uD~hDANmD2a=!yc@c)&LWR_w1z6k@O1#x9@aYQqor>7Z5q~N;Wt4+L&*E&c8X=~g zjoT-|k>-b)Xy;Vim7(eqeJs%tCo1l-pda)<>Ee`gV=E6b;DH!6Os2-Mdy^|%~u4spIspn zev&pB%yMpLIORd}afYF!wK`+n?M{N)CNAWueJU56~f)6RNx`E7VR=&S%z`N)oCCLNs8sSo#gARMEL$us#l&-kxo6 zB%CYuu4x3#?}9h2>&>~{;r(xVmMU%Z5HMlBv;2`*{~l0Kqb}ZQG-8nQVa{eAYELy! zP^+^mNWl6HIP|N}B_0>>MBvFGykg1LhsX0fu?4!njbGOBNP^`KF|qn)gZhD7p^Hmo zzocS_P^O@!p|!g>+{~)9;qN=De{MNz$2A=&gi!z8bDPH2;`=57d-&GmC^Q(|!d5N( z5MxMER1CZ7=n2#;5?2A;y%50{0Is;o2?X*z)Ac&$vf?GoPBN_da6X* zw0+=*Ttefh?*tmM$G>I+3QC%`N83n3$$Hw#zD;>(o0 zL0Rrp3bU;2gK&K`ix3V`&RY}lrBwFL{dQ_E^GS-ghIU9rz$&@VUA;n?PfHDSc;XC# zdU;EwgB*h z*6GvH;o}Uoq%itzSS4Eqs_4XeDxi45vrNt5 ztFONhXY$5UFmM5#(|MV=8PSkphyL2GAkAyg{}J)fGK_#7@O0RQH{%s>fkO)p%jB`h zVutPAHq`!xYuZ>Nfk#tRVJo$FFA2P4P6KW47em|rn`eYyF<*jqc2l$uEjny57 zUlRTga=wt=AIN+>({ZVj-pgATvzy35S1C=h-HiQ2^l`6Wb1UBeos;P~VqNj!mYp03 z^;4)k?YkBX5nh%9OiQf4hx>y!WTgLwd*l9(X{|LrzE11^A=*MljR()KY|s>$s#Sy^ z%A!z&$%3&7Q5K>4oWLOlSq(@KbSC7)SBX4~(K0`cw;cd(co00Dk%PpE7_Sq9!Fp#| z_E$c_?moLIPK z>LK3FVN%s;}TM_YwzgO*#0!-Rea zJKne{0Xmf;Jf#`edjj@X`P}C=_6FEYlR7MRRrTTp`BSrr(>F~6Xm_dI z0hwlviaN)`^v_5hsOtH(^NxB6C9GZ+^Icdt2YasUJ z*ICT;UC+NuJh$xId-vTSFBaV@yT|1#x*lGj#2y85mUvL5aQgyL2XRhKo)EN{E443> z#sa)%=I#|XXu%3KX#0CVDGEM^$@7J>!V-YVl!|^Sne34QrPr8n^ z&Q`exqDE7b7^xjkHIEtdDzQ98+8=0KiEqEU%H08fk2ih0Aj9Bdiy2&pS7tn)b5|A` zUo`4lMw~)`8b1WL4?WpoEOxL)qK%)pqiG~z*Z#Cvb{AeM5IQT*&$4AZW#XGA8Jhqw z`5+EMd#aapPWhATc;0gsNMW+f-|_YEnY~cj1+KuzIW4%~Z_zFhfk|aIuJ1Z4TCA zs0o;Bhr}DpJO%kdR#;R7B|l*7+;d9~%7wDPtvrgk*$#p>tHebaH$$$4(}J=}hydPJ zJFC}0CQLqPy+nJmLP7wiq}{E!z8qe)r5h_mAi)O+@P@C#SAQv1;$jvzju^`DA4S~5 zNLXSNO~64h_a@`%IfoKT8xAP=bC@r7BMpnR3MiWZRUvt!<(FZ>Vz$->mU;vS!RU@l z1(aKSHu*cO@=+ff?ycjKA@0df@N^9DdV+VRD0S4k0P0zh`4AJ(#O%hy<`4{+?B zq#38r_aUGAHT;_2T+!T7cvxBJ+jwOj1?~qkkQ5xWR|_$d4_q)JUzg3uGIy7si0mLa zt=Kw}ygDR+fN~lpW_jUZuxI!T^2_yGPAN@}Gf}5VNH2JJw_)G{CCVb=`N3k0;C9)j zAr8PHnLxBTCdzQbuwnH}JlLe9+i_}8DHGsl3C>^V+(ZGP6Zrn1#MZ94jEL?x2YwVM zWIw*M7@?eHBvcSqMKL;Cbg+ij$zN0FsrVdXH97G82CDfR`JR<1iKx*{5Z~1wcB^$%8{#B?hv{)D$s8CF-xL1HIs3< zcoE4(957wQpr^8z?+u#KU*Lho!|(zp31*e}`va{dU~!lo3K{EC1TSY9%+KHQioH#A z4^Z0JN!nJ9J*aAZx5d~P&H$zH zl`LVu8sHjwf6S6fX zw;aRvlGrJ#$yP63@FMFR_n#NmC^IJ-<46^9nH{n}v zX2dOhuVwJF4D4xo80tG^9}J#F&B0f?>-pd8N6W}g82@n8mebj&iO9%6H^=<7K5B$$ zWLci^uFTb%yp+CdjJtgNgHIVan?A%9qZv*}0an55;IWN;5qEr%13NAbR;7;LW7lAc z60WYRr`K#B?QB0Y3#r<_KjQiM6G5{;@G{pg*5t)CoNd#D#TMe{xXEhBd`G5W!T*vT zqRb!`xPA?+?5JTSw%ON8MGAZ}?1z2Ly6*ebcrqx5Gy0~YuPx%GQtVR<&e=7hWFy{A zkZ@l~2nSGH@MR^y2mlM5c!NN_s-2&Uuq&EmE^ocp+vEX^Z`hB8C`k&c>lFTWm1CYW zf_ujrMVu`WkKv%d(WdumuALKDTPbwv@6_w!t#eM{6e=crF{#wxhtJe_blcZDY**dr zBXr8re&L-(qoJmV(V!l!(()|yE>tXO6-Qxuwb(~{&y#0~NEKC4xuN|NV+{!4Tj_#L zp=#n{sixy9`73>x3aa&wLC1uofqa`pql0qfq5ys~=4~7yte9We6P zW+9#+&isZ&TM%&P4_8U@iV|J(4^UFK>t|E?y+${K*^6p8c&QD5bMOYj$ATF*p&I^M z-wdWE@BQ<@V`BIq_@UsF2nDf_o(nHIxxE&xHK-F_kCk8c>XRTB9|VH#{sfhbipNn@@We~FHo*z^s$ zV6llKar}4!rZgoorS)^Alz-4wVR)-|UoAU^5v`1uV=aIt%p)(Y@*o}91aI3bN!VHe zsle@x>IGP#>J;ud<_?c#vK#NW14r7X^ zE(krsPkn{of%t?FUhJE52SHNQb_JvhbRSD2y_L7^pU+B@gi9clC^+x3r-Ls>dYj|E zR~QcNeG58U>PI$rAyvj3hVf?NJ%A2*sMlIV@Ewyz2I3bEk}z_W?+A;nTmZ-Bvr8LPCQfWzJDh6xcA?5=dajA`vf4+&#C9 z{t6LpaXT!!EAl!-V_g>@Wu>gr5)&O8A114=`&Vd5V~J%#mVE$08fY)zcY`GglKNyw zNFzKvpxJ}6jSROy|G;Yjso!h^fNx_QH^Qce1Qg2->`t)5CC{6SozQae)xYIoFWIwH z49Y=)AYp`A@epqsT;zF?ZnT{d;)tr_k(Epf@JtF&u|MrB!_Rj`y>%%9d4w2G1!cc% z{&i$jQ%AUWlqIa{cG>!ZZF`>fJ{$EEIIZ6jToyjOr>(p=1@{~n5jVw|EtcGg&tQaR zX>+|jllZErFs%6(PxxNjm{Wxr2(=Ehq=z)!bURD*$NKstd=ki}O-uG7FglOoq(Zbp zV!_}n1Tnz&M}?~5Ef!acB_-;9VvhI%FZ^mw(eFc)^FWfH_A=B-EQ8nM#VpVlx_|OO zT>`E5V&>2wugm<2M--qT}^+xGwy(^0!$N4~? z44IeMc;M?V1p99@NscRr!KvW-X)}Sh&E-lc55L1ygB2 zJEJ!sSH*m8-q>m4on3*r**#iZh-paGMpzENQk#eo+jeRjeE&en#E}4dnIy2lyDqF@AtBXFNMS4w=wZteP>? zU|2&32l#mJHDQNi@>{8oeSLiIp8a|Dse;!!glv=GZ4<~}D>RmnFiEUNb$;~atoXWM z5*Yq1ba*nEw%6C|0V%?ypp0z;%fE#P)7a>R%kS}qFAm0EUirB-8I`z80h#uwd8MA* z@Dzc`PCI{}eOI^Pn?yzsJ0hRBeah->o;3gpv!>G(*Xt2x3*0yFh~G$iju|KFMmfvJSs}qFKA8g&b@^31`eUbcNLMS%8zpM@*b3w zY(#4T2zXnzsY@|LujsWv9t*#q>|uiO;K(X_TFQ2l)4nGAcC+j)i>U6?UbQ=)Dwe8x zEriDSbntkwYB!VwxPw7N&hunus-}E%Vl&-TSt6+0o<%psKzI7fF9;!86P#lDn-Ts*WrOVRRMDcsaCNTJGB9;L}RXT{l5}covK^4U9A-#6`Tz}g$ z7jcqtjo+N0d?F_=jlTjjZFm2E%m94g+xdL|(Tvf5_t{t16f~kxFvyBxpdlH$cd=Wh zcmJF$Y~A^Lfs^flHMhQi##mkCectmEO4=7faYaATnn}%osp)$={#_5SyZZ^J2t>5e2|`Y0|v}Aca`sX`K=iEe{IMhup|e zekxa193{b$+cYB#-p%D}+m4N|3s=D@*|Waep83l3Q+Q2keW)E1^n-RMPtEqu=|_g#J;CrH%!3Qrj(1AcV7hh<;vT$4q>F|a zEQvzw)xPdr%?ZsRDa8aBCR$arp$q;Bhuo|>&>)_%B+|_+WeeB+r4S6hLY4k6madQj zfcQra->s(GXvu^Du>tLB{Hs`J-wy&o)8ztJc}lO8#{9lI`AU7zju2AC`6rxmS+lGy zO3K;+zL5`cVT-oZE?!vJ8ncuHyk?zSMDlq6X1K)cHh$s58b71ZpH(67`lP13A6bnM zAg<8@^oCTbKgLT#`MuaTj)XEYV5e%BiG{zyFMrJ!u$)au=t+MnFap9hrrtcq4UnC8 z4g0`mNGADUwoqq-ZD|F^f<0N-!@G~b&610qo&lU`B^v%N2N_!5!Q+m&Qz1l!EgEJ9 z)US_{m^jd;96*`DzaAd-7NZj1Z6?QcE~{k2I#bEbumw%`WAHQRmSbw$=QLb+jeg${ z6T9)6747=4FC{RM8Q^B%Se&RFVzM(Qr}?PPL@3>6bcc9O*4V*;X|AoOChrZv7nf$N z&}1<`?kTcf`G5%Bkn7pvc*z1)F~&OB-9ax-4E>2fR$F^PTwZ)i5&D6ac*1QvA?pbe>VWP3@*b62w8(XR(+2W~e~Lzw0;6eG?jHWrk_V0>d6 zPSzx_s7T|yM!3GRjui6vocDhK5Rdb_gi9yzix-%ap#55{ZB&*V@<|N5d`h!h*+@S) zaivjc4I}>u!-2M=cXVbboUU#7qRH`qJ8bpiszg2W4xL|0dGLlm)nL=XRBo4ud_^SF z;6Z*|J$#@|X@PjS8kY8!G!Mqs-h7OKRXY+|nP8cL9)fODOfek`45FPzj|m(ckv0SY z{wIXVIG;)BPgL6x5sqMLCtft|@BhdMrtsZ1lmhCXL+sJ?3L>&*A>@ z6!Q{vM#MorWpd__*tlpB0WW-DAc*h=s{#WMl$MgjnNRK*RkS}<7)zvljKOyC1(aBu z)^YtaDTGhY&j^@LCfZ&C`X#z$j}?B*DR_0=ydmhd4l5e^XJ9|hIyzmuynZbuR^u!` z5y!g{48x-+l!%ISel;QqgN{^Ryi5{4CY+m24UK)`zM|P^riDT927J}3)}a}|b%u)s zn^|-^7;q5{fSgLGlg^>(0<{nz0=#%HZj<56Mesmf6o1RM#ayy(4GNnKO1OCZSNwgqZw zO2Iu}WnOKu@cM<1_ZX@382tT^b~oiz=$Bc1B3dZi>3l-Rn9ZiVhh)ohSD)IxMuvYm zZc=z_Y#S&Bh6;cK5R;3G6zG@#Nn64fbi;y#@NRo~E2+niCA9{Qbg!$5Gw5dmpAjN& z6d-^z_U%tk^qrgKP`9Jgz0~Qs7R&vR>Fp6)Ab{W_>Ff;yN027-rsv*MJ4NEDE} zAbxY4YWz3R%k4U1;a4!39trw8alqtl5&9bZG$2RPABX51ihg$;*Dp~iu2@2X zgo)$=N>#j>#IeyO(2RXu+x=UKjGoQ4ns8?@-n3!ya(*9xdGH{PP)=tnq$Z+8`g8!; zUyda6>16;5pX}KAhJN?sT`czU-UpLTFbiVCoffeGoB?AdLPSY6M0IQQ(xyIz$se8e z3%NGn0!k#bBzRtz2wg7y9rNS9mg{su>G)#-UOhqys8E>Ljn#{#BinQQKYIt>RbbVCkvzE?M7sN_}6tj5xUPhnEL;|4I@$>{GMi zRoSDpaxxc1C>iR<+8oYb<%rCUxwyo6bn*9N{tb19s40~nS#8SocKdeiFXb5KtCT)f z`N=HrS!QB^x9jI7i@xw3ZP_llb6)1}~<;QMqf+6=NXMS1w$++VB2$Y>+1Tt zx?tGt-SAUHS!8rcZd5x&EnS)m~zU)&v+adBC?x;Afd9F}rV zmTNU1mS#Pd2>`ONEU@6i%-hrppXp0%>)%TsEa)%D48N3j$eyS2KvHH=(P@lK;KDkE zYfStZ$!qoe+#3;7YAGJh(8${$>scRLdz^Rd_)u<-KubaO>B_zs^LydpNjSK$sD3t? zg?8eLL$j2{_ix{{pw`ElhX~4RYL1OSJ_n?~5kooVw?~$H2d52gr|13@VHQ_1LmG5T zDw3JB)9h~96&00(B-t0zR|9&#Uh?-2=LQW%BAVK`-Sj_~-#aM;?w$sm5tQ>eZrJU{ zjTwYIKyT-I%yT`dye?%`obzZaupxoY#pMtS?ZFpVqC z0qG%WtKCC&g+ui&PM^sRkh0Fb7I!J?{v~E?!Q$|O`S1e1DiN3BcReNj`9XO-Px|vp zQj0m1X4*dwW&emQSyOby#N7N*c1})*^T7l15_@9kyGTi4XMLoUC{%QVi z?R?;~7iE?pFzy)mxL~dHozITdJJ3P!JzvW1vr^TVmD+sGf8S1 zukneAXJSlr`FViwa&u{@hZ)+{I;;A=er2YnR*s(xIZl_tE*rhcB&`P-gSBHFX5{HOEGlD|?NIRx!p?iJjixw}7u{`0-7Z880r zaCBgsck4Fqd`D~3-_Ac|ZO*+rAYWIyGr#|yhSu$4&ssjyK3j?Z$UXd{b7HN0ba2ke zr40=YhQE8#)3?LdbW-ufz`y`d)bFx3i()kl%FpdatFevmwiw^-LBMbUM-%XZsNa*` z7L$>#Hld%>B<(1r^23_5tKI8&bm#pndpJl%?XkFXdi~z@CV|9*=#t0x_Chcl4)n-u z$Ses`mmYW6`}*~3yupp&9(a_Sl(@UQlegFt4lx$;f-Hd|J9cOgl2peCD&cL|982zTi_%pSO2)mD%jyAG7@1h?$vNvW$ClO`Cwu=YU;Bouz{7*RTJ6 z-_z4G<6)JDUG$2aa2*Vlg98I6jvv3H&fnUUk)D1G(BIA$iwY1DXhudqqJCa-aY-#I zYTL42MMq12V&ZLT#Kiby#?-yR2KEx|#|!1cyG@utqCS%R9;Fz z-~xW%jO1IqK@||~&WfEix^!uB{d|TuzV-c=r+&H_ZqQ!!Yh}MRI0Ej7`q~TU>l^|2 zDSB$o|Ky$zuCxDfnZyFSLn_oUf*aaN!Cvy0s{xJ&lxTS5?-ve>?jk-v*{K`wB2Jzi%|Xi z2!_Ur7Sm(!@+2x`NTC*8J&15}@qPP{%|eIFckss#UHr$?&$Q5|Q8hlcwTV+P{WJkP z90zF%zUPH%qS1dbUGI!Mm)z4*7NTL?(tEQ&s7e9pS9YQ97u9ZSymb}7R?M;1o*u3d zzij#PXH5;#7Yk+|AC=xUahxqToF=`kFQ(Nbt$ujMI8?8&uu$^rN2}}7g=>+78y!9L zS@-k@vkI|Fc?D5Xl|O&}RK0uWa&o`Anp#+7Bq(S*kqwdx^$Lb>d3kw`cjLBx_xEjc z$)BTtZu)RQxiPw?i1BK|)suCzLic5Cy*;sEcD_Xmq#r$ceU9MV_bX5-(n?F`(ksR$ zC#?aE>^)nNax>`ZikHS(_{e@a3u~(ZV403<=oI;NNcqI~3?@mfrTW`;G1FGSXP^WbrRwY8b$u zPNU?|sS~ZkVTYrYvQbE-q6(&~qMu~>Z~5`@kbQzPmE&EntrQJ!5AGks+FdiQr%#xz zlABmM`Zm=kpHVe2k89#0m3rWN$nBUtl9KI%SEN%TVqzYD`Eu69*%^1KE}kMFW>PV~ zf7j8}48ox|F!8W|6R9DimYg;|Y*AgR@L6o1eP2|8X!PW68O1V{``jjhBs*^Cd(jVt z%!QvYY(IT$H4Z@Fig)J){S|_lawr)nW3ofLtv{uopi=#HG7Pp2&WS6r1l&JKLVLN2{V2cNFiT z?oVJ=o%T1cFilo!jn$bL|CNzpQTxSkq&Bufhvt^Npmiox>eQqTD3%GIdy4&qiaK>X z{0?o7k#no38^d8i*N|>tF#O0FQIxo&s<&*kJ-3U;9{^Kj$(j79>WPgxjW*I}`#d)m z$1SseRa^T0vuXI`oVdKNORCpFVTA?vhVgc3;g>`aG#RY5fb@r4;~lXnKZGkYF5wMC zP{6?YncKVfU+6w^C}~p$7tJ_nr`Qwidxj5E&@wW{fbVV<2(kvm@ckY98h~9}7PD%Si_Pw0< zblpb>wS^QGC^?o@e6)CO(IR-H0^B5_F9-Z*zq=H=WqvVGn49XkmimN6M3F~to0Y4p zUXa}AO*?Ej-o+fyWq{s}zBcLAt5?@ds;jFz)Pxb66KJ$;c;thQaLdyR3B-2xf`G4L zOVt)Chxk{w9|eD{ii3U{$6x+8nirU@kwWg`N7T2 zEyMnn#${~t$zdj92fU(S4`Vt0f7-kDu$a@nKPW5gT3JlALWznpI*>|smkv}Ool(Mc zmXahLG%Qkd*rsz)t5Rw->7aA6sY!HDNlhm-=%n*eQ+Yo(*S^p7zSna-f4zUae>{8n zW3H)f=DvUT{XKlXpYP|J2u9l@$n7R1JT+413f$5?#jRG^_EM$2X5#sXl4ovufUb`A zf#x^_6Vt-YWg%{Yzr66)&d?n~r|Cj4mQ+`$E7iwB1zaK57TxzeEFZ^y#I zV`JG+lR^ZCp%&68(W|MMXP8zg{x#UwX8_zdW>s@X#{lyraVxBaEva%&_o8!qt0rEr z;ZE9H>YshT_-du`*|MqiU-wqi-`etnfrUjJLM6CK7JB7+QBiAz``_u3QPP%?7uEE9?l2+=d~br0FnArRi~#7Zcl2ft_T6wigT zx|f{1c}#Uk=^v9y{<+2XM@B|MLqd2Sx*~Kmk=$=xLx7^m3Sbzg(~Y*?v?msusNT6>iTv&(}kb)3X6 z@MF2d9u}MVTZ7s={o`jO-X{7I~ zXI1f4go?A6pKFnDTwDB0Pt~fW6#WH=sY+L8W`{rv+R&zHGQrH=(TdHsf#pH$SRk^r?zv@xKGErY}3^!RfUp|WZx zhmSa7AnlnmX%Z>pP7qTV+Jcsxe9IDwV=~cH#FnRUrRX79#)pc$wk5;BKne90anWXfAzq(jp zzVwzYFH!hzixB1)jE#>=;l?3qWh;APmk|>-;`T%JA@$LtM)Qa}Y!UQ8*VWwxyP-KP z$u=m1^<9fke@BLY__a*FhUCWL;-VU*3o(nvB*(Olo3HtM*LPp|6bX`g`?B-ubHhQ3 zjJX+SWjEYr{DXDeGc)vC?i*?X=sk93u}^oqk0cVc59A5v%tQo{I2-|eE|j6~j5p|P zAgwXuA#pSNPy{^s>(f&Fyy=q%ZcR(3)hz(ci7=5)Uc9x;#5*c(2X=@3k&l*QFm3MH z#9cB*06`x1SQlfii++6J=L2T@IZ7udjl2CFdexY@8M&dm!W^=%`Q%oF=GMQM2wTJb zsYCLigP3%Wp@DHBH>saPo!l>u$Q=R9ca6Rh36KKXY-!Oio;&F>y{M0^ofO& zBta-HXu`~lmzAaEeW=zkrfx90llCShCzAthZ)=O7Aq93F9tls2W_-XFN zw2i-c3H)L28$@-=Z98}CbcZ?#qm-OFyy|LC`qu%fb%o6+NS(el?#7sO^8l-Cg|Rjo zx0B%;Upp(SONwEC%_Sb{KeP2?5;=dM$bTjpe80LW?N~BQ6RV`e0z_Ys6~+>-jSQek zAq}&8Knf<{9F!2ptK@6_-NTqN<4b(g)@Rl<@};?{*E^CrIzDzB@33F*GO?1dxJ zUbdSt4i}b=Bs&3ympDsE@fH=ejWY?@hka>Au*dFbubb7*` z>27hvL(sy=4-?VE4RG|hcc`M0to0=$*lu2L}r#);& zPy$J6Pw%x3`&3I-|B)QOLbsLbgU%D8N}o^F_Mh=`49W^Koyd0(3`<*t(7q1Aa%fy! zI@~!3J9+Po@Elnjk|{E5tgVUd1bzfCj~GdU2;WC{0jwaFccEcPttJRxuC9+9OJ*!JWaEVa|mS=5k{M_7@{Jw_J>=2mWFf#LAGUg*{Y+VBXKF7l-_% zg1T1x(4VbQD7{fOz>q)x+@=am3h&mGuOBLRV-cWf4@{83PK9FQH5H&iEl?XSTLJtc zzx(uo@F(QT&kc)xIZV{O<)&vMz4W*3=~VDIF^`8>w=l&qVK&|_=7MK3<$#Ue{!u-C zR#8`WL-nUUFnLCMI{3vh@3@u+k*)V_3X6zHzI%5A3>>m!JJP`*Ev*mtgfDA;J>1+X z2|6A~Bgx6ZyQrs_2{vB`@rCW@2@6RYRPhH80Q?M!7%TwvF!Zr(*tT&9iKHS=1L!MM z{h^|CVgiZUJMwp}akSYXjW7CxZ=t83`_g702GJFwn!-C%}zve*wm4H6^L zo@EMcYh894ZVm2Js1}{7F)#188y~~C;li6Fc}9Qb7Pu5Z%4uy)xG8XUAG*3u6KA*R z;@$LPh?$UT&mBTB8wW8O>&Ij{P^cxpKEB2PSwkpdVFDcIgBgWFNx@Gv0Mfhyq$b}> zV~m?HHuV^mzd*ag&`cW#!Sf+%Jdc1Uh&x7(-YcgDjL@xdy8ctrl{ z>#Qj>)sr;P0ZFY~;aHmF$(FdZ+iR#)t;mHoCabg6l8d@T+#jgz*|x1(cQ$L5wL@N> zxDaF#agWYHnMC)qlogdIVRxY{d3jtRCe#qh7j8K%a)x6S8X@A zYGK+`lN96mdR_wCk0aSKOga?D2H9#G21w<$Ux=CO4w~yOTK5HmgSs(#d)??T%Q&qb z#Mzq39aj$DJL*+tXLw>>#N~cgXl$&vhLbeE_OHMGx@N~t1x{AK^+T2UoQ4 z0%!zFzy;b)J%1^`s8&51$vg}NH(T(=j%kJJ0)Nyy z#_&b2c)11St;^ayrQu7zzNAoOR|uPuHz|}M#s9qezuN;TOO(8$)fprj21cADcd6%K zYI^#iT^|8Z;;d*juk)UIca0AJL+!t3hM4?ih;Knt22lMH zU8gYVi6D^@yMVzMV^%*eqxi4>@4vrhp%m-hy>hJ`_yjk;V`0D2D4O|PUR8iHS)O?B zUX+$Z=Y$#xl9Hl7#LUgj(bSw2)+jQe%GNCFaZ4j%wdjIcpQ&dYjuLlgr})~nYmbfe z>z8Zls3!fG^w3s8T3cFHRRAmsxr7OSDiebn&y@qvkLM>6-p zq_*Tbz4?%TmXcTI8$|g-ba*-Ct%=SCox^ZP9`A!S&!ger9)$tNFD50^Mrfwj1xVYH zWfMeTC4iWHVCx1;?B5uCO-_v2)~_YO9LpzB|C=|1j+jUlIC++GqK#Z2Wi0$)IbN&Y@Q=zoe@=CK*6*yK}|QfVdyBF^go02OAw8y})~m?)M2^esO(j z5v6ju*gT3i=cm$t=2w_QY-C{I@|wPStLb{}-RJ_9NQsaC6%wgJ70s=v)o9m}=?e%X za)C3Bow`AxLzs1jsD3J=1d48&#I>6$(zx;BAn{y_{ z&ffmqF<^=`P9%CkqsVzF`ZCA=2&%zH3}cgrrB?v3cfN}%Dyo1dr3fyDQlZe5H^{-kAth(I7#D9bogVxeS%6*rqi#;n8+^+E8V5?T z(P(mrM!_@W&Yd&t{Eut0yl1E7=LEmJ4>?o?TC2`>ssge^>-GXy$#p?NpLb8qFU4s( z-U`TCq<^MNQ%NbOvf%GeK&)x{QM<6M*u#s*rWm#xK1s4hpw`U ziVA#-2`x!`{mP24n{=jzSOiT2T{Spw;6&YdbJRB|8+fJztT(z9#3EW`1O z`YvWB#CwoitEC2rFO|&>PYg9P^1-jB>|z^=hJ<>VrI=3ZdfmRQ?`-C8H?n?Dk`H-1 zns=a_rk$e9mf3`;r=Iz*EOVX&^78R1UXYB6if6o>RonKYO7U-BQQytXCgdhv@9W=? z$7%Ze)yg9palY$)z*mFXUrfPjFbkG=8{>Ji(ExC`;p z(77Kr{bkB=#TAVk_Ewu2dMZ>gb;gW$az}-xl;SCg;ovDPud(z>QE|VZE5XaZcd*eiJK@$>r z2qfEW0bl^Ug(yhi;- z=u7Gw80F>38cUaH+Kp6bb&6wqx(}uNhz*&$wMm$EF0%}8a>^*Y?yR_3AOY3^g=z{4 zmWXt#@L)C%rE&()%exc1bg7;XUbqfQ^6t9rSxOvg795;-<;=&OCC(KjRg(O1Q6%C*i=5M9)z4@m^eQBg z)#h&PioNuiJ(6^PTsRuD3Y!){qw}lI{L_U6x{Tpvq%dMQYb<1`HaR1#E4?M!I0q&8iT{6u3;?NUA^L_0S^*3G;Nn_&$A z4I-#lR&6`_egXv~J0S5On8iGiQBlWf&cIfn7^N=yO-?k-364z$Hzx_zK;ab zqdt^-R-8BLvcXqx$+in2>esjeJ@AsR$dF)AVoi`bk=T9fR-KDFfMGWVKPxjE5`5Sc z{pnKXHWh1I@GZUbAAD_K24dy5{S{;lwT0BvT{*KPDq2)9Bf zXPA3ht(6au)mfwA6|z?3yt>gDq$&f)`ZW$=1lf_m0(y(2Mh*o9PQTa-8#bySJ)U-h zFfH zHcKn39!UDWhKOU&1QM`5$U_3c>=!uBz24W`TMsb6xOs($Su#A?1`s?Q10%?V zs35mpHr;|DYuxpp2A|uqic{>g2@t9P%5*;NNy|m z6fcz|R0U%I6lB4kG`xECJ_ktpSN{OS*BYU0tcaCh$kUsnXNGtzg12)#y) z{qKXuA$W|}mO)S)((sqqBP<4Ap}?howWa04bl>2RO&Y>tv{e!hw-3xg44#VyjYb@v zs9NBlADc?%#`js&M?z8LQc`ASJ^2CBbr14Bbgc=l@i;u+vl zk|f4}Qx8a#&k2Ko5?ycG^_iWF(Va;^1`!pi&0%s*kndWL$FhPoo%W6j1qfz zdlWB$ma-gvv`n)zfdTbRoV#+Tj56w}_m+OJ!T$RZ+{zYtFZmXhT7*`QP{7-*tVi>)hSl-8$!eUhmiI`FyPBJ4#1O^$aN!DGG%;b3;w}779i17KOq~ zASQ%AX{<^!g@4JoqYd3}JKMT@Szv5XH!a*<9G%@A9W2>BZ7^;Q&Q9V&q9Q_)g6#J0 z?k;XJ!om;#>nDVqF?Pb5Wn6mjE+j5$Ms6q+r3La2-b;l-2NWI(bwgQE&pUHD%O_Ru zQ`Yg+y#v!vev)V0E8MwWv6JSrzvSztR=hDIcH@bR4A1=$?zkH~Of0ccR@7D#Vu_mm znls$Gv*G!ik+d7L37dn{?9g%Q%rPk|HogkNX0utX81pU zpf5Q5wBUcgrv-!UwKjaZ|M{NcxfXaa|Lb!H-v)R5j}L7lw>NCI{GXpfDDi)n@!u=< zf2;BTxHkwzqVvDoDI6FDNfz8IsrxNcV_b6VMA#-$h)PaQuKE3bseMEL)g47$n%8%$ ziU;Cc#h$z(Z*%{zoEwr4rSH>gmIXBRL z`t->~iWy!E;@97DwFjcN-&b6t+L>({4OYn#K`vv4Kt z^k)8e5pAxmUtL>H)3ejXv{;sH-mjCK@;|37zh|vQB>;b9J#)_@Tzc%g_NBk4n)j05 z&hHL=1Cy}mXwuh)W%xEWHtC~5d%b2eMTOaqTLv2z<*1{Y7u{J0Ua(3E)y`4(yJhr; zcd-RArx;^yR4WbR{6CPlF$W3NEsJFaY>%OW&pX#soj!efcdIlg*1#-)7XI-l+=?Gf zwG?46uNd2R&k1NyfZITBtkf;ir>p408$rR+nvah8j;Ynr(+g!g{7%$uEoRwpbg*+> zmqu>?XTfg2b6^Nu;FlH8zD((JX8vnowmB8H{XISv9+MuUdFAD|mP=p0Bu2Tw+V2=S zKuP1}jh9;|=EM>oZx$+eP?w^bt;MFd$DO+pIIg#gF*R-fo{aI?_|dZBIs5fN>FGh& zQ`<+YL2TE<$sc{X-|b3#9gIh+6r?{q7e(;9enX3fmKJ$e0kb{Q`wt$(mqk>re0lfqd`ayOrn&if zi~Y?-)V}BP)sIsIun49??|*WlST2lD#ukh@(#2ohX6TG#A%i7;`jmRYf204;!BP5A zQE@a8oB!DmBFgZ#>EXcUKEG+J_t{8DNg*m6j)G0{y}Ie>QgGbb z5{@^A0CiKE8~fn!YrT&+a)Z3(SZj=hjQ!U-4C_4K*s}1K9>TYD88z|BgVob2JQqVR ztm5Y8wkn%!k!spP0j(e|U6Ut7+Uv`in?4aJsljh9 zOX(CLcf*vsFW!2>EKPm8P;2Fr=b}54+mF7M&Bft0xUSY|muvd^{__H6Eq<#F5$Bz1 z@XqmSwU0YD#j+j$iI8&tc{Xq(V~W{BwrRVn)Z)uq3-8_Oh%$#^p2KO%plhzKqJglF zqdlDJ*HjMYg@alyj~a(;e2}FSFeqt1+}nuXPp#ekWzZB|T+DxXxS%i^iBZkxwQ_bo z=7CFFFY{V8MO{-=#0#F7YW_#mjNIG|_vIP)SjFF>i zcE0(oeGj3u{8sOiD(TF6<>A**4dDhFob`I-L!(B2X*xl};PP@Y|5d-K>kbYV-#Jgk zJ=aK?@tZneb!yzR9r^UhVsCwZcO&P-zy0XppYJ($AU|fhb+JvPLD_~Od=W2be>g`E z^@}&hA5cSa;L^RRTX-)i<^BZQHrz<$DN5wkrW@E<885`wS@Ep9d+(mWv(kIjTBmcr z`7C5vj`gL9e@YX#^OV`HZrr+5m7lL9=j`Nk2k+(1q?g%LCNrG13y-c{JDn?ZxANui zgTN-UhfYp(@%9q@rUh$D*?zx=95;FdN?)QzU=Qn5_~V{lD9-2mm3`GuPyec1$9M)FQ$9p-o_rXhI$;7Syas%tCsrU40 z+Ti_feybk$yFMA1O*$MkGWhxJOFptleMA|s;0G7>>BkS-suwR*j>e~sU(nIeM6SA- z#1^mx?>RJ6bY3DK_G+bR+gL`qlCN#k!)oNzycx6grz^*U#k#N&t`LHj% zkCKm1t+%{Q4~=G)46SqH-Vax2E@*Z5uPV1 zTux0#p8e~qK_>?~`n0{zF3J9S_k&5`-o1Mr(u0OC6}DNtCR|6lmT$=Jr)MAEG-t5= zF7CJO2=8OjoxoA^tN0bX_n-A%;RlTai(NzXrrvm_rSwqSN$%dg+itZ!hjXbl_Fiq+ zL7`R~4}_lLxRG6V)4@!;v%Wt=(rT(Ppk_8s_WQ=3L@Dmz*TpnV!qxf>3c5>oL#Nv! zV&e*eE5~ z&>lTfs9@NsTD`@uUaiFk9nRKN#apD_K3_e421OjvmSuVXwK^VZPG_geVQ!-?DV*B_t)em|}l0JFCXC#yVb!Nl#~b z!XkS|aMelEj^W2{3xcOrV~6aQhmS5sKNU|5I~B|rjtd)ILK_(w6_RkEBI}<*>sy%k ze7}m-)wZ?d=P&x>-<`!JoxR3Z-`3ils=e-hHn4IwJAu3TA}CGFCOS1tgdQ#sK5S;j z@(>zte{HPkoV*bupOs8orjrW^2OQE+xPGs@?;eZ_iMG)Wt}W^N`S}%YZI(n7ltqY> zyWJNHI`&^4s~}n$Emimtps%NwTT()ir=wQk-xbF)DK)RF*-hwJg)g4Oo&SQaY+c7oexi;fR0+}t*(Of={8`nP7o zG_|{4=jU@uF~?=juEep(nu{<wYp4+kMcqK{-c*}$|V?|MZ0#@5oP)#Q7Rn&tA| z_HrsN6?3?dbcaZVgJp4lXhrD(LxPgEPBjeS(hW5Szw4%5q+E`+MhnWy%7&L3_AdKF z6$T*TJrl(%(HjJv;+igvsHu+}D-9jpObDg?;Om`{+uAH0jPBPC0uR@^F88weEteI1 zv(ug~OR-38oOxh&z$BJNe!QV@QZf7h>cA7W3cG>uF~?5mb+Y|ZlZm3MuPZ*Z!uI(C zwbz3wel9>dOADpSS^)=BsA2O~{r<04OruU#R$SRZ$3B`l@+_?J3y~|9un*cUgp#*q zo>hrsj#?ZpoPBoBNs$xVY!!bs9O~Xgz|N#)7L-EPrsJ(rQM(V!6E1CM?C;-i6(5ib zDYNQ=->i7bc0OSYX*xMteOXeX5*R4o8GC-z&WIS^R!&b}e|m2r2Pu!Sx&AUWMxwOZI{0_oENVDgCBS>K4l4AfsdcRl``

KyM3l=dq zRXR5vT|t>c!9vOKbft>hQNTSYdH<_8^T7X43sIT>9tK%|q?4G7rTsaWI$@1c#s`q7 zHswhTC-RIeP-AHhf7mDO5347`k={;ub@MF1v6y55gZ$U8HD8PSZraQ3Ot=vf;MXjb z)ct`~ogN4}7XKi#^jhoSppES~czqo+0d2DeZv5IzjBs}MFpy}J>)w2d6%=Qr6#n@j zyZRmJ_y|};Hb|;MkUSuTk@=f3Pg=~IfhUB^{;oNtks{Oq#rx62@pscr$4gCrpl#i) z_zg`d27yAtjk}z`8xNeU#nPOhzgcNdLYfg?2baizf!P{tC^TVM(;p6A+7bSON9%~9x2tRW^{A9oM z1la~5$4(UgB|NxMw<2KlznSCzqb@NwhtzT#n+uLt&cD#giiV1^3A&Ah1%&gEWEw6DbyhM8R(|6z%PX+yru%aR63mdAh)3jFo@{p&6`J)62S8U zBf8Y!UlV_JyFvP3*7l}TdT|agY=`thW(cx#Pzn9EqSoDKCp^a=)+}WE?bmw1ryP;} zuMf*k1;wVXnKMn(a<(&ecPKuP`xzrSVPE#u^AA41UL2Ay9~1ob>(_VBx;(y~wfp>l z21JUBIcZ2O26Gif7zpExb`87KSlJlErSEwATQh{?`meFDr8S0}7F4;ep+N?<3mTY2 zuZFrh9Fn-qac*i7c&!}{=3NKM+voa_7v7TS^5x46a^5aMlGg{vMW1%50_dlglNTdz zo3qW0jn|xNDd%?ULvG$5--ekMGkJh90uxSNL6Xy{-(l5KXHUn+BTFbf)}{L50f;{m zP+(i_CGyM4bSvu1%BY?{e=c3U2VXDr8aq2Hd>n6n5fmvx@=CF%-{P>yXSvlQZ^ghP zdFr9R^*#m2RA=a7P6IOSjHVT6FNe-XD{#mBYo&v9b=loFf4t?=iP}W^iqxF{7w^?S=ZSpzXovcnq)pVZe!yC!R+Z z5555jnV}|cBb3^L+FC}~o5D;?Od_r`%Jo~H?`0`TBdUR__Y-7=&;0$aeQV0P`uZ!Y zDk6n+fX_@ztD7=fMEWjXV?QhPyhk0m881rz;~N!z-R))$7ym!u4fe>tum6)F|7$7W zH~+t0jn5991A*J(e9`$nnXa9TGh5zraflGW$Hy1kJKqXWE~>M$Gtf~KPHWU7q_+HL z(Ih7@Y?e90DC;TsYiX&&YU|ghnJQ>B=SrK7We|o}51r!Wt52yZ)`V z|9NJQJ4dF@m}|-LB$7aV$$CbFk9P=Mp&i;-JR(1!{uC-4krb%LcYdvU;QG6EA^YbG zvA$pxU7A!)9=_tPF(fz|Gd&o$z{0Gu?9a$ z!ZS<=t3ec_j+PK2Jk)tfCuRQRR)EbN@9i>O3BxH^qAx%A>|WcX%=yS%(Vi~+5Y z41qj|*uW@m%T7a@mzReJl~F!NyW-}J8zfMt-cKyFQ7Vv^jta1XdL{kAu0gm1{SoTh&H^8e!|2ezlx$E`%s+q$4EnN>v`$|YdwA15&`N~wcMxGT%)wo zr2v|qs942^iv4JBo(2A?>Gb#VEC}(9mAunk$81ufPP9`+@Zbv3X!L2I%R$Xf)oh>S zgEkA;ra`8q9)K?xL}DS~-C(MjaperCT19%K0JT8efnR|i1~#!xyD-3i!vBI-bUvs& z)?$p-6-Kc-Nil$aK@M$R@#IQY=U^b`WTuEQ^Bx}`$3wx}j5*$Mv=dPd=N0XpS6c*?&lZJ^h3NSO1gK(F*5*^pw!LNf zQ_jo#OR@UQQLP={cXCqUPkubLswzm=_UzKVw}7e%LKNF)UEynRu%iof;kU{Ky4=)J zLScf`O|S0=_{+1Al97eY76Gk_jg3_+9JYV(;JP5)Im_fR$M8v~hQV z%lG32b#!ZU;p!e|LW5cQxL?Uy6~<`zzmGuh>DR-VE>ce#{B~x}Pwf)&XlIjyOa!g+ zJ18y$C?II(h$vaxD;;1zq6#mha`3Umz}qg@wU44jHmn7E4o>U_whUg?+jYyqC5& z5%@`V8~`J}JoE>_iBIpmEJv zAf-sP0NhJdFckT!w2=v949N+XQwWZmTUcnDUHkrS+^G$g!kaJ+?+G)7)^jIcMRYvQ z`tk5$=$NAlT$H{(Ek8fMj*bp{NdR!RcTSVh@88Q*R#tvbe^8>xO}(f;4w%ZaEVVl% zzgz|d+AN48B22NcHXsYbO2DRuT?%SgO(Oi@gp(xfq4KfUE>_r(81-{jWel)7dir4< zmP4C2VEeR~2M;eQU&#oAePm+70w7h6H9nQ)?9a2KAnkzjC@s!^xFU03Xf1^hJ}n(RaFS_82b7(8W=W0cOHzEpmlYrP~Rn+_RfIw zP*T6H4iFFlv)Wg;^c1Soabd9gULLVkGcSNWFgay z!WPsjcbQlgSx+F+Nhv7>_4Uju1yn=!G!Gv>MD8qn3z;kxo@3KyLRT3|jYWtjhG3FBLf<94re7rs$H&X=f8uwXYGf%h)O@|V=8Z^1 zAo0+7*0I2W0Ph1fhP}N#NLb)4p@OfmBd=%A=tf3IK|qS!PCO_ogeGJt_)M!}#lX@-u?6+i~Xd?einq}#Z}u) zMx-VV8~nRG8Mgs%Q?voOTD0P;KOfAKc`tiK$bg~d(|y`Fc52hj87NLFMn;U`lx%Sy zKi<+aFyK;9V1v^P2kuLqm+%$GFQ|ec;#Z$Y;VZoQgzP)`nS%0iYPc%ac=*2X>ves7 zSa=Bu3HCJ2=*(h6K^|oqqbD4S#KE0Z=o#kPdbO8aDYRL#S;F%-E=E7r;rqvxeQ1BZ zESSPVJsT^M(a(uhiyU>llJV1z`Vrq~kG;fwTXjx6ta2NC9HRC`>JQoL&62(exkPa*hcX03X>ggIZ$67w@n9kSW^8KsGFpC^@-nh?)+6>36NmJnw3i7 zY8c1~p>+H+?0_IWhAWN?P~w#G5?;*3PoSYv)YQ!}?(kj9>S3KHib8V>!Q$MsuNN#& z@V;PYi>*`lq#Js_DHCOgVf(lo#BH3`Z#xvk{RMZF(Qk`Bre{(8eE^WmTTX~T8juPK z95s-;;EJw+umyedUl8*ML(?G+Q-YJJ4Br}#B~%oum<~9*p?-+*h~LUZQnjqs3YbTs!CzAPzUr zt`Qp~cg;S67Zk^S+v}#Lto5d)DkJO`;mo>NH3In@$}~-tnh?J6DBEETZfed*xin2q zIDt&D_X+5~@{*|Q{Z>t=;k3JqTX>-m@@GG2L_ z<%gLXzWiS)3+YL72xaV}q<7SXsJM6HP5sLZ1^?{%Gezjbm4hz+1lA3N^%keFMc%U%v1e8-RQVunZs?wDTxsrNf+dLFzJSR-f*Fs_FP?CLNpQRbaR1CEZrsQw z(e?De&HK&iaJeS*2;4|o-}CPt7*GZ1s;7?@q`NM{KrHe$3 zZ}{GxN^0Z8RBL{y|zx)-lscvRk|=K0YOPNCx!j&dnx z3OJ4MTd0m!bKO`58F#+u=;%;;8?m$moOP%gT6`ZHtSo+-hnfU>dM+pv0R4ywLn1pY z({;9?wZZNS6`*$fX;|*2E;P^eC?Y#CMnh;gk&XL9H)X?l4WTy$TSZql-^;%?5w^w6 zKbdplEKI~%D?yK2;EyrH7;$915_DNSE%~bs?637oDBj>er)Ok9^8!c}57r;_O{j*I zRaH^11?wi`bojWHHf|6kP6_NEV^1sI=gM*}d3qDXIzqs4V64*b?d@It*151@F;U}+ zk_p|ddN8_uYz5aRzBzu24{@;hs8$Tj3Gbn_ISc z)5nmzwY!yeBq*KtHKxy-Gf*a zE;~!nK2aSLlQY%hSsRxjZ1M5qN3C8PUBBHw)7`zj=aBN1l$?zBlYtksT0zIJl@}L| zw=R6F%}h}SANH?)Ytsff1f}cOuS?p2sOL7b2ZE{>c+8{$ zd}iy1fCtSZWG|}E8EslyV?)&mZq%0>3Mw)8^!6h5E-5Lg&fU96OXM)UKuu!!=1#k% z=*Z{K`2ek;e9h0#19pVX2XFzfD}3@PC}LPOZU7+4sj?*8m>W5Q6FTpxqc~9#D~Wd3 z3392t)C}{EdWCqXb2d3+n02(A#H5?lJEJuoxubBRjD=Fpma6q( z>LvkQfzHqzNyVjOY%FNYp44#>G7!Lrpo%ifxDyMdXhd=#%mi8^``NS8(-MB>f^@?K ziM?aS7+V_YAhk+P13D6Q41vtNUsE5{c%wO7y(iZC?cqc2>|o9FNXnoj#B2d%fUTNnsiyO6(>*3fXq_Vzz`Dp zkwU?;;|GIS%|ITmHST#K5YUmRRp%VdTi>2P(`{(Kd2%@vd;+|ry#M6d`drEA=t&lU zWCN6ihWY)a(g>V&t9Ib}IlwH;t^t4^VU6i`rh=M&sMerk=<;f67{C?hfF#1V6?v!k zi#&&rmsydxg5L~wQIz-xse<8kNPr-|_*E&ca0@~i1Um?0I|PiD6U-{c9MjKw0`db$ zQeQ6zg*S%rG%!x`l->*K6Yzxrh@>heh`mA~(#5-XbkJd-h~(>uKoJ3xl;$2etP?vf zO^=%bi@GrIO_lT9r4$xzluZ8%)mHi_T~z2f!8FbL%6z~ktM0u0+Wha5vC+fA$5%$F9N-zpS_eECu=+=nl}j0pUTp za%2OP;Iim018)hw;rE>bxGBIzh9)Ki+q=z0BGtG#_iqaAj5Lk@{5rIiEZz+pSQBtC zQ0xh=ykY^x`ycVdKcRd=+fh{&+n2a(Oy0d#~hpd^R%qT@CaIj(Gm1=IJt_ zv&7~g@vAygf(}+zZr*|~w>5IRbu3TgO;5)CX5))t75uvdC7gD%xWz)~Q={C!vV$W&l(qL)P7Xn67DxDK?-0eKn z*twuZ>M$&hlht+y?(a|iBVwmO95B??jqG*4#t@U#G|Cg6$17*wVsa> zL`}o_1fsB!4u=9FHL)kV@h3keD3DrFX1E;r5J}6BAle(~2VXC$6iALk5QZWM0waLD z*`EbL?jx+Giy@#k5C{pq+Zg= z#t8wXqZaSc>Vd-3+XL853~Nml6Dl;8g?{*aBQHRwC_^xE@YsGzk6)GI5-R@?yC2y) zWaEWOzWggpfVyC=T>1OkVD6lhz;MN$U-{*oaGZgGVVe1xv$t;=nYjNhGbBgu{~d03 z-1BE6boXVqD5D}J1oDjUeEIyD5QN3Xq@l|o`zU<@^oGD~KyOHIyL~$Z*+x1a`@-CX z%DHYfvaYA7(v_tSGlsMTL)SBQX*u0hFWl4p{%3xSuVAo8#}h_z8EKlAPh_xab8;nz zT%m2#X9svSQ-eWGoo#+}iV5$DaX!R8^CDP(jr_G>A&sCa$Extc%>v?-Al`zp%`)ux zDmvf1Km9V8SejaR%i-spfNSrL1|1oc^?}XxPM$=J=06&3FtV1?=B>4 zED^>w<%66l{5_P^an_GS5^?UNd4+G?FgLMpmGjSCtsY`h4l)r+>GV;_ z+k;|47xVn~BKu0pGhMAz;AKldy>!(t$}T>|{li0(t(U&2)n!0m6 zXU7;;w*|;`&k^j;A0M*D9VU$`Y@?dkltJnRWvqPzWNpx-HRMLwc95i5(8*3vOoo-jzoefHs5#Jdu_sP01pMhL3z2g_H!t9o*y8_en)~Z zo2W6-e}orvpGpC(P3b)i`5Z)Kfb7ZJw>pRGCB^)3V%9e{(7*LX7?i=%ghVBjzR>M$ zPXtF*Rq03G0_rIhrN*82^qn#%hx)D>xkllz(rY{lGWAU$@j&HUUC}eq#xlG_p^3z3 zn~?HXaFRH%YVPN`wU%^QlYrkO$v!=ZS%3c1u=0&yXTm|x{i^7V6g#SBP;)B? zA1Q6d0F{04U^q#if>DeB1R@|EfJo>m>J0@6fdT-YCBT1_DVe#C(e|_uEhLN1&xO_j zrm<7}=YiyV=w7H7KL&E93Ld_{N8xT=R=@dCBkObFmEQ5XNhc0docOyR={5rNcV6iy z9;`zg;kJ0(tK#Skr}rcfw>pQ)g|>^xfb3_R*XMhE#E8Q!-lKJC$XR4)4t7=*^18Al z9H`~@<`U0gULUMBu>m+xKtT*Zz8QLxcDE}d072;aeN+h{eKvL!(&hFleAJ}?aYg-i zT>w@z!)h@e&t+g;q{vbB4h}7d91bZX=q%CX7pQaR(g@~VFw`PY*qA9I&Q`umieuI( z&xmTL1(47#K>D!oqY8B}=5*n3)B2h7S@c(}u^J!JIj1$Vi*)GTf#~C+fSXBXb`mCg zSbm-~n6HT2i>_+;eibQR!amSX*y}NlqCGsPDD2X36*RZ5$xF9(>!U|Q_Y>Z6J;K^P z1BU}veD`o;K=I#Eph1G<(^{ktRMW$&ZI$uHqeqO?dDs5(@fBS<}~!3)T@4;g&uGK zTEoaXqzZXQ7c$;8Kq{iW-0PbU5op2{-@dnmh`RmIguFWG#*hBCkIyySSVMrPrTp$G z*qZH46}9@)L2t&q%HuHDuRw&|6m16Bl@HV_98-a!B

F?nGA$T9 z=sjW*lcb090AId+qX69=L~CX#7ZkV*ppWD$KWS$JMW=33D3l}}9lu`6H)ufj#d5EGycOps5EjXnlP>G$Z=)*kUF$IVe(m(_9>bwiPYrBKBgA zYUcR?AWVvqS@0(-!6^Y8Tn4*D@6H{|Ki^w8DK7y)1SJd3$At?QfRU;|lR=u}#vZbn zKt2@BumF9Fo0_WDVY4x*_iC*~q_lpTsFg~}?RUML2Tw0(U`i^SCS^uOMj{u$n^HZj z3iv%y3$Vwq!uAXWi_FMMnV*cTh1a-=&wTRa?*gdnY(a-*-cBM6F7wF-+q+B}<)a(vTV8;E6kpaOggVGIW9H<|N;-IR5Mns%z zwO!6}Jsk8S4!Rfw&3o3F^f>_sM6`K|h|AA2H;)UBEmLnt!4fjSkuZ6N_tDN}C?9P? zdhPZL%}0QpeoxkQl>cte2V4v91H&7-#We`ljU(7ojpGt^{2~H70^Zl)U<^^0oxi;{ zde(327Oh>Ic^4Y6VYQRV2PWJx{t!PF+DK_F*xbDN8$Gp`oX}*<|uPTuA)$dbR z!>3DDXCfyA5(K3dQbBouH;@bR!OIUfe^$zh64sH2*f@p zicsS?-r>V7O&XDp-}H#)ib8)(36S9}E6bW^KcNf&RoKLE%} zMlVEws$cIBu$;npvY|lkZ?h~j2OvE8ZVwqlxsYOvpVIr>=$na;rq>Jz1LJQ2EoZjs zY4?QhfbBYZEZ7T<*5UfCHEcfuvv@B=H@;yjARDpJY)u*&A?$NO%<6 zb{x^9bo2hXBh3l&HgZ8^x{L*rTYF3&5YfibLs&HO3fzXa2uhHwvb()F@mgVjV%5x7 zzcsY_&;rjU4O3pEm-guXgnsTe?P8cX|IYxHb1fp2|9w&ZQ`!AlfdQeHUUay6^9YaS_ZxSaH#i)=OeW^cnKK~z zAfg2DNjX+Z5JDxGkURmLG+-!Tgz4V7L#VHhw5$DnUnmveu)`APHZ-un^@|^HnYcB4 z?-JoX55p3Vdgp)L`hx52ZG*VyR6&M#?reo9W=?I|@q)ePX?FZc2QiAH?W-h4tNl0A z^Z8&ZA)6s%%O8SKyAb-0S5JVDtT+@$?#{vA-Jc>FF2y9JiCEwZ(rM)Mn|6w54%9;W z_HSAef)=dtg{tET8prN40MP$NQ4Iw@Pu&FIcOJPbBt|3H6tK(yM1m_|LwqRvk{r_~ z)~Sz>^d|Ig!R+1-0?2$OjA)%2}`z?4xEaS znL6Cz-6a>KBeS0A%FYE0@AX!oo*G^t${BVWV?kRcEpO)=3ji2VQ%N&e-{<~1r1^Mc zwNiM`kXr(KaD(DfO30Xvt43p^uf;98@=c0MFl+;C0mcD9d?=w>iEtvYDP%M`?@Oth z@kFJ7c&f1P(l4(u4&?L`6AS`j0N0M{y>r#wj?z4uZ>Gk^NL<+Fvy*QLg7hm4fqw2-PaBa;^lwc(v&eZ5`Yq#^(+=v z2Qk3y?FR+nMx~0`s8>HEiD*mLtov4(k(p-la6BVm=siWmDWnAsEQAyn1JEN3E;;xL z1BLnd_~0%B-uwdR5Y+Y;+BtEbUK#A{?n16K4ViPQnSXXKv{^xC58}iUiPM|(L=?K_0D4;@nxk4H#$)3nQcd(Z|z(WRKrC2WZGSLtq??|9<%glx>;nNW5NZ zxt^0Fl39Y=5;>t@do66_y?#y3r5e|c=!w!~(vhG+4}JL(iR^MY@3V-r`0ybbY?}GU z+?WL7)65jcDPi>cO_{3CbJpT*R}+J%3XgCtKSt!K?O)3EgLIbQx;N?}{YsrK+M1qD zI!BELdq5?%?8}+=gjujy5yzvT!t=~VFcV2W3SWZ6WYZv1B<3~soKtc&^)I;}SKBAGrVTU0~=wk@{5V@gM4wC`mo1)}$_nT1ChN7M{MoK1xRZm1?@p z;9nUEe~?rJsvM+FRU90O3}4XO+p}$LZM_6nd3*(#!o+ibVg!Q3=$z$NIGB}Z&R>~x z^a7&#R0?gk2VL9?rH;Y;GT7*u6P46?O>Z`L)#Fc-WI%nRi{S2@j zkUVr&Rp`~hamUZMb6|85lE#VMv!{Y#(2<6oz71;U+qYn5DkWt&LrnlxEAGq5i<=oz zK@iXl1_cW?2a&PYq=&Q_o21i3Fm0)xeg{OdBlP&gKt?R@EjzZh=}Q&e?GO&kOB=hR zOJnT2_><>FzoC3AmnuH0GoCFTM!}-C+NMRa1NR*!Fuj*}>yOCA2VvS< zdIh_Y7u;s{Wxh`U{1*^Pknjg=Tv&88xU;v4Xkf8(i}{uE&LU0`GDQFhHD3`@3;qbEs4-Tese!qMA!VZ^;i&l>pup)t>o(_T?_`2La=NoK-6;i5|CgSewQ4JJK+v)~sa6#X%K; zu^_zEkeAgZiDCj zdmNXp|H1akOlrAb^1Dfh!NU}dp9iZ+GWA!-D`3&_EnI=HMeDpk_2j}v)REDfI{=ZR z*$n1pxf5?Vj=#G(%K%oC2oxBFgRy}>vCjSl8hEctcVR5JEbz#8!hQH=KzS3WemRG8 zyxx$6M7j52)Xp(v@q;DiAx+g;HEK$hYel#Wm>iS`xdmT1TQC#K0+j&3Z{Xo98(a0Z zSRam%%&^ZPR?rk@wtG<{j9D1ziDK5oFsY>jfCUsB7+VGR1&}fjQy7DaF(MrQ`W3-n zDl{ZgdgZE|iZ?#=KRxx{=22MS^fME~=4m6ClK$rfxvr-@R_gj= z#(vV5!t(_vU+OQLCp|{@P!hGq&C~4G4P=@hmY-(bDtA$S{B=ks8oI$=fZ_@fJO1Xp z=j{x&=BHV%n7H(bLia`t&I(d5#l>JaM*zpg+tIrZ=mbd#L@Bp7aeG2auiqL4ClO?N zrb4!=f`$f@bHBAdC<^gf?`HrhK*UDfc3kq?*o|@>dHvy32n!`Qhos%Er zN{RFI2vNy@u`E{bK#(jN!``?oRWZK8)Dl~Q)RUQ8a;&49h0slh7nK2w0OZIY;)8>O z&c113!2xa?Bx99xfLKE*CBy2{318$klQ+oDN?6ne)g3}Deze~;R?Xn#!-?!K-2pTT z-;&8o2gaWZcO(NoKo@~C-(j~5Ty`*N5|JD0>+6TTm1t;akm*4aQbRDPsmJdC{aM=D z-j(ws&2sZXc6}5}+_T@xFQJ|)>gz)cRF}!;pA}+|#9?UZzU^^7n->MMRIs;PpyrBg z>g`xaeZWZbQ7H4$a>W3IP1@K_cDv-M-U8l0(t0RlChUc4;Wj;+{~x^j_wVo5F`DG_ zks?nAkhpxABTEYzkm{1l7VpDBq^Zv##`p@a)n6t7L*Wr{o{kinJwI8w`$uj`p6pn^Avpv zrIeaC!57dhn@ijN(__!rA^%S;+OmJoO)uIfKL-)h+<_%<3B?_xegCB!jG{W8p1{1}jyVg1fVRaAf)VONAZfvZw3^saf(eQ+R9wOd9=3F7-z{ngQy3 z|Ngz!s$cGPb1|maFYi4Bf+>hn{0|{%G4q&A=o*YGrEos$umtFK?m6qVh_|Ovz;#1f z%&!68+@+ee2PQXa{RgL9Fr<}sZv@fb02=@_BL{jT-ihD6cVe7ou<7dsp>v1f7Z#t2 z^{-+`ASOJ-gOY+-+4i;1B_;yL+BWfU(!dvqJb*_$koc5G!$TXCrB=LFzJ@`2WliQ~ zi*lXqoJR1R=ql0AU5gFi8q0|RTc?o`bQ7=1u-NmG+g`Whx~Gn}B~i^Vq^}QNfE5sM z2pAkq@P|vU0R+r^)@|c-ZD9ghIT6V15J`E$dX)+2bHw^v81Wf)4Ry+C`~btXsm2ua0<*nOvxgpTj827~C}oClJHj z8X8&gm82mtfwo^67J50IaR@lb#$aZda|#)D+w}Nv@Xvfeg*RsZS7^ z+K=a#G?sLm1~0Qm&>Vdfmi=O_`tiL90a3Un82WB@$x*{|Eo5e7u60elho_r(+!rUYKvc>a zX>FcFWEacB^sA?}Xdw&qEl^4$yJivR->`&_RQ~YK^|jhecs>AZs2Ff+B3OMP13?A@ zi`qe#{jOnwK0?RP>Mec$i+}lR)ho8U?wj?0TFFqsh*|LWtKPjk`1$kafj5?^=ZKJE zLKLNlF_(^F1vCTS5AptBm=1aLLu;#&t}Q)9gzL{i4x|yvdM;nPefu1e!UNJ3(*Z$V z<;Zu;`wzkUjUoKWx0hg7kZ8yAk1(eMmkFHTG&Szdgb?-c9x}IiChQ+Ye5wW&j+t_M zuBo~1LFu0wLKjoBm6_g`CD{r51B#et(g$5xn;ptzAr7Za50d>j2S5i5p(2; zlLqTeosBDZ$kqN{dKO~mZ1AWWabnNb z8oHl>4Fi1xQjEkgFN{QCasj>o=oB5xVc-eO94U{6sZG#ZY-<%djZ6Rpm-kWV&t zA3`I=>~YI?5~s!H3mN^;%vEYU;(4!R+&p|J`|S|&O_HeZSXI^*WSSGAonS+q!#IX7 zY9sJKVDr(8`>>WI9xMdRk|5!5mmg_%haT}(F%Cr5-6;Y;N{$WOh#P;0GB=gF6u)h^|mz|N8KW5}mhDN9fY zTcPf$HcuUBT^1e6^HuWd&qFo6{B51zccA>|^D&hXUgOQv@KnYg#PrX{qOToY_Y8!*DTkA;-;LCQ z*(;YX{~Py=X#{sbhX&oJ=M4z{Wifx|V}!{&IKU`2Qr)}%fXZE2iNxL9um{(KF=Co# zmJ&>&@BjrWTR3qlFyTK`pnB@(Zl5wIRsGTSxJh&ooZnV>Di4y-$aVW>B9_*k;oKMn z4?UTY%D!O-mf;KcGG3jiiDLa%620#+*PXsr-k5C$jM{}{%%pROL3VfjAiWT|00NZ4V@0P!h}jC_>7R@e`59>QZdWH`G1jua!) z!`>@Zqb~5dIfGW>nn5nV;vLC1POw=9o5q3tz)UMEX&_Z1wb3UoYTL))_^qB19*Uy~ zY#ZP$!T}Mr9K>d@6CiJq7;6o|9S7E0Z^X^B!Cin^dM5buNdCEme6x2q>apYeWVbQF zHJL`}?x4Z>*StpE*f1LD!K}fQwW0U5af+5yQMX4rt;H@rTV!)Tr8F@AQIYz#T4kQm zIR_RQ;W1ivVJ^k!%m?Kf8clEHMdTqltJ^c}5_yFEgMQ465+&m@Au^KU;?QDyS?VR$ zZDc#bw$6@CyXGV1}3&Z1F*qN_G76GQt(+Ay|V(8)dE~BP?Z+eel_~J-eVy8wiry4Ze zzflAm6!M&n9eV}XV^>Y9OF>saM*iV(AqlrLeZijSIDv6^B`neBd!reR)~@hCo40r0 z?81|9L}2n-@ZP&+zJXv1LV3tXEEeW;o{^l$HIfGp7N9AsE8VaHJoTol!skdyC}o$? zE;Em6EB^G}LBU~w?hm!rJp>Z~Ttpr(WAcNCRd{oamfWql6`#)SE_;lD@3cByDI}b` zuXC&+b{sTMh1friWfZ_~f z?OY@TzjQ!YhcfZ&*L}e9?0_H`$n(L?LPW4HWmaH$p$`^o%7gg_Bybc&FNBfNc8Q#L zcuGS-W#wiKTZ(P{-S_TAomGRwnuQ%P^gFeQ7Qo**rLtk!MUViOR zZMw(Z_`PBsnD%uhCosK#3I#SY34B;zZ5#;3;9JVD$d2y87MsqG5o(3_UYRxSDQk6x zh1M0*pd$}RXOuQ&h~@(JoqQI~CV;TKwGg&L6r6K~KXZxNGen1!Lkc ztR>>PY`8qt#0Jf!10K(#134^+iaM=3yp!sw&&P;>gKTU7ix~Po(Hwmt0$_XMbpmF( zte4z66oM%ol+>-=N7uD3P;+#nua~eJ>2NI2^?R#658{4-9lnv>pc5z*QFB|ihz7fE zOdSnQ0y$rsC z#c1P}r7m@#p|(dSF8(rvQ30huUNI?FVF3 zHpMKE5!5a4L&Js_+u^BFkmm`{>>8~;$T>OWjo0tH*n$kRLUUlQUR$%C0Xn~UCjl`^ zp9va0hG%84ZIm6u10Glu_J`u%TH~mZ$2CYFs@-P5ZWhnL4!)qhLh zKTi@3if)U!&SsV|(~S~I=_C`doSk0sk%9z(&B+lCErqBdq*#b~2_9;US`g<;D7!>CBxIz> zEISQ*ga)N~8nmtKmW;kuWF#ZW>VLoc{jaOv_xgRuWt{Ul@AvcE&walhjr}3*K3-lU z(>H$CD^w-m-<-IzZN_Nm>)i~806qp{IwJ-phJz$|pcNL{tMLaF*4>~2%_RUz!A8hV2${=I**WO(m&;pr>odq@Bwg2)D@ z1y-II*$b^Q=O-WgdVNS4>xpcEVf)(PqvxpBq?K%~kr!Mv=b-vSDS=&1@AC)V&%-{Y7JWsXF%~ z@Kc5AjTI;`?Ec0J%kRrQWhs_2iG?YK+@VrZUp5h3{H zotzYyK0*U8xgMu2%z$YTKz-0-kC;%utA78j|MRAk*)he-W|!1X{@|(~A5vN_(AWxV zD8a#XLy@ykQJCKB2ic#n-+;;Sq-j0oJ~gxfQRc!mK%@^4D17z`jjdVd}V<@ulT2 z;w44NV5YRIA3#QtNLYP{7;Kigg9|r}hUOf7-=DUX}rbX4HuW26u8-nc>&@;4}GBCAV&oFmK-n z0_!7;zZ>k3ivuHbFoZ-YbQV$mp}3C2#nDXscoccY4c>_1~XbUYFERF zJ`*QILREqMvJfZdlN~K|S+T-%I1docMmK^$$5|w^p#9+wWEixaM1ds%6*MI;yLPI~ zq!sIljQX#oJPDC{E^zwzZL6zNqYmtA&=)wL)3!^?%apOZm$HIlH<~x7{ln>ADaVjb zyV+zzl6^%9hgor7%0d0|3XX*dGOaZ#q}qEyDJ;Wvi3cOG`!;z}#g zpxu6k;5J-C3ulZ~cB5ulyI(#&ep)zVBlWTC!^;bfqR~9DY89uAM0swp3RGH4E;9+B zwd}04pj?OV5})UmhwmSlNwghyW(dx~I|jWbe#C4ZS3R@`OsFtn8B^ZnCbh1W+0(z# z-<MLc%3FurK?rwg ziRt7O!bh?#M%M7ia;n<*W3OA7U(p*g-ri}y>%r=AL-vUI<*h_bItMA}#EJXYBGqi4 z_$>}WO$6;E3f7-ojK;w{U}A`Tb;x|vUTClhZvCPwPm}Q*plT?CsZC=krt&X9ZHXMY ze`9;fS=&VLG?7*M*w?04e6+`kz*~J*2l_k&_#RS-wpMIn;BnRCCf4qOdHfovcpPv#PqH8+H)7ea&P-{f9P*tb~t>} ziveEcNYjMI)b3T3jmtRmIqzp}tup?l-b-It{9{Z9bHX*zeC(4* zjKD-5=NV_8t7Xlv->L2nMRx+=qF_*+yuJ6<{uK;YgluAfv3upI?2PURC(eq~nW7&7 z7yV)^^_A`?36#h(|4w_G+G0T3&`zt3xr}|eFBvj}TE`T~#icct>JvC< zh2%p5LLYoLxaU4cH&&N?W5I0v!JYP_kh}4=5M2NPr!DBR(R-n8 zJ@|Ktgv+&+H-3oWm>ZR%?#N=2bq?a&Aax`e#oye+wqsa zW>J+hm7@tWoBujB9upl*${cjXWL8*%MS-%vM%<_WCY(*WkHmW7nUuLpYg*+qR@I6p zQA(0HuZ?>RFQ;zFF3Vd`h_$8#tV`cn_sQHzMsHCx{sg7DMqC?SG6-}6PCVCLGuG4Z z^mlH3`~!ig{=?S$G}5I~m<_$J1&pjvr#&iaI}Gd_tenYz#MSy;xi)jh!iqvFUc8tX zUt$IWX%>nXr2UurMxV}R?wby$moK{=^Tt0Ge1b@pwO}(ej|D?k0A2P4Y!q>YGaY1D8n%U(uxEf=cOoTbL)i)U;i-+M>`}e?m4#$ikqhin=C?7oy<%I=# zzH6MHJuli_hG;Ln>)JtRCeH2swW(1fUYOvM)8Lx6d>dg?{LXUIuRJUj{l9G(TtU)HLW zPHuqjl;+q+bQ-j6y3ai>rJl!Q)Qf4|3kWdLtO`$W*Z;!vMR>oY=_BTzpI4D*h;bRO zeTkazCrlo!_;{?XM~dp2R(9x&9U0u`t6zZ^d3#yaQZR#HpX15UKy~sIkp=_Z1_56a z04{;ylCKJ=$0g0s$KRp}AJR)=W{8E{(66`S1?KuH9{%&J5W^7XtY6mezY9%&|8eV3 z1|DZaMskrA3bAyQdc9*=t`m0zj?w=`T1ZMBt^!eT0*FY6k0sG8mxR%pi)^gT8=|z< zT;QiaO?oXQGa?$zhRN{TlIzzwuhsOV7*P<3!!;_F)*Lic&+OK-vr7JW;78rMtD+BW zcL-oUaqf+?&eqH8UJRx+=~rK@pMwg)%$3n$sJmv&R6(}Z``QEXRO4hreU2;i#Mf%n zqmDeaM#n`W&X=XiKCSJ573=(6qktVPf0CGuo$&(!q0O707Lq-=t80fBhZ8IiKu!N||<-kdI`oh5j!Is+q1%>+0ErN;{L5d_Zi92rfJPgm_lX&yU z2$tpNJ;#yB*cW3`t&8#0$6E&w%v_$^rzC56)U zQ5#Z$9|gb_7AK}Xdk_ZM*3srW;OmM9ZR4^V5a}?bz#$@~pfG+$gPL)4J^Q*B7~d&XS~w_BYIMFC>#r6 z{~m5G(Xag7Ve{VBZ_NqPQTO?999l5}oIe0HHnVVC^0-uqaQL@09iH{HF8fp?6bSma zg2|^J6ARSo7{(I9DS@j8jC~Og6S4MVi)4D%7*SY;Z^CPB$fiL4Vk z?93Ta{8Wy3*l({G)#PqZy2OLz=ISU6g7m|9W7i?K2R|k=O*vIG)(EQlyCp;Mv!%PQ zr<%reYEe3C|5#NtOXQr*{I07KQF>2*SbE3K z>in%WP#lpD?kP;FXNq_wo>_58QjB$fMTtZeM~TpYmr1^CgN1Zc{}7F?+_;0@gV zqP&3(^&URl(f@2^m<8d@M*EI`nBP=-G=*u)v)pS6=5Ckl!ER9Ob3;uh<)1!@vV<}ZAYwVA7QMH*4g5STsY;~P19*CR_s9zzggvl$o`0PZ(H^+^cJ z*7Eyc;UJ8pwqnci50!rhoR(HV$0aH$8g+F-x^j7&@V(^$$(w;+GXXj&5BYp`87sbH zIQ_q;(#KVjO^5M+v>k%wA&v`}I0-8eq5wQ#e5i?7NfW?Lr5{aNN`J!&J5%+wtAeyu z$sPJmHU?u7hhko@-m_<$5=*P1@zG>Kv;NtXH-f5;n15ns@sFysUTF!f#6-NNn`N>~ z+>B{{I{e!W?q@;w_%wpN2M>Mk+!p^~q1D;NQ>pV&Uo46)`a3YhXo`#IJ4ux0tg&WK z&JgsWZMxh!$e?^igvDWQbW7;$6SzOc!)ek|4kwQY$rXF)pV>H;I=7pB$3>+Q*W!z^ z_BP?oBln!HHb``ar9~Hoe{Gvrz`lX;--I{;vc}QvVpt@A84V7)+*}4+_kf@&O^L5C zZ#yOT$s_*I=?f{Uk0TT}o+sP}LfmXnMPzm-@MrJ-(RrX?^71+Tzo=QH zmw?m40kiK`G+*tMhO2E7T)P{0`C!SGf@-1H7l2+N1#M*YUkPx zl&RvyapxYXS2ZZS6{gp_T)(yKPhGv~|NIxn1?PYJ9OP9r1j==ZP8g; zv7bjCc|gK1L+BImR=D($aRI}k2XWVGkDSnRD0CJ1W7SUyuuyjU7%;9(PqzLe#Il9L z<963B`Mh2kg?_7oHOAzLry%#ve)ZC_in5y6ojx~UeL>DTaeS`_=d{&3ie0Ss zu4OT%bX!Sp%6g)HRW$u#t=rk%XIQlR-lfd%+OtPQrdD?owZm0%eU?(zW@?q|vKS`O zFBdw^DX$?v_Qa%QxlD%-uch6CO%6^bbM30pD=Eh|xT$Q4&82uId&PApPG{$7rZsV$ z4pc}^l8pDB-jr`+N@aFDHz$U)BquX@M#lnJ4N1KL+iMQ%o<0A|hQFDQw)Y=>?EDyu z2@az1!JDlFV*$Kx=a6DJaF_jAxPQ~f#>8k39BNoYz z;Sxq)M!NoYKZ~VSL%vhy+lOQIN{Du7>>>C)yu7@MpJt=-jcGjv>k3KyKk;E|7OAnm z>J;|JO|enwo%ZVi+M%U|KeGS=Cr$mrDCwaQg_{(17v&w|5M0PPzRU|rYtg^Q-o&jZ z9aQkMM6l!p3Codzn5Bs8@Ho~9{5q`WMo^4>55`>pqv=D1ahLP`ArJWn-H(c`!SpH1_g*6MY`25zS^=C zHVk-jHc)940;e}MeUhmWulZGZc^3dMB6YMU`@>;dsqTD>vCZrD6C)pq*$B;I4c*6b zYi^16Js%1;*`=`xj~J1*-ItHX5he{GqewN_JveID=(0Hu&!BW?GMX_cepjyUhj#zH z7(oF^j~KeFF8_H0IO^iB)@4smp?E#C_44hYDfga(N*m9UhyqdeVt)~zysyK+R9?kT zyvi_AIpgWcx}Z~}4B;F0qMgOGT|qaef}iDgMQG>l`rDEyN7wzy_f4;lM&EMshy4OT zy(0k{GHp*Vzc@vS`MrMk^$--6#OW6L;48r$BI^~L;jB3e`yW9C@l+|h(9{MRBYbY5!ES!{> z8g_neN28M5PU$+a6bIXi+q(0)eB&@CqI!iH@%YdGbcin)BWIidBw$+Iw=si5AsZ~YkzIscTIy$9B5{Ua~$^pW+iY0p$d{4d>q%Rn0y+~`FH^)TZi!JufBgC zvv$HWM?(;ogN;11sEz{O_wJGR&BXT&oF97#KKrEO{Y1@-pUn3)|JirG}fE=Mo4%BD3kd;u-(T=11%qrQnL!zHQFqEAqo&DRu zKptvo%p@a#UxGmsO<=U#fd{!oMJsS9^~YI-KDL)JEb>7pV(mH$A71VV1jF&*;IKfz zVYb5O{{AR6!$!AORueiCPmn`9qME#Xl%A zE5SI9Nsx9n`9J+esb^;s%8CSJi$|V{_Oe2c>5EyYnMZA`O!ZOEqLyINsL4fAIASa1QR04H3(XsNJu2t)VH$c zNQxEDZwOK+bPwg80ebhztr(NOfjkGZMze8ap?!zH zxbUxUp_a~}mJbgfJ627A;)C&Dl8!`?8;3(nViwpI5FYLJ_K4SOoDImZBMPcr+#91H`t?AY1gnM3Cwfno|jQrJaA#( zF??$W$0{hwzrD^i*D@w1R&&6agOvgQU?THRq_Z&LBF8wqK8YhY{fWW4tV~mGh55$2 zFdo~>e==U&DU8^`tYqn~n0omqH|vu?C;hkKM{B81i#T(ZGe9Y#Vs!Z*S(pKhI||g! zK7!vz`a`tB6cpyKhlrwyRT+w&&ADp>(dga>X`&Ku~<-*XnAnv9mJ@(RbVKiz`}XXITf(lXrlG`sRM#RPozmjCCoQlg%Msr|D?xyUsm4fN6NVM0Vz3kAXvQCB-P5Ud&wCXoXKn24Vo}^ZF%{8q zG}!g(*yr2J$eaphI6b?bJGw3-h^bmKJckUC*_PMgFdsa1#Y{EpE&iSjE`D*-i_?!9 z?)^2BDDbT$i>$b`m_x8>ge=k6*6yr9Ew=}I#)wIFxnMXiR^}8QZc3h!Rp+6=UPN*u6sZ6IkM{A!I^YGlP0BrD-$BLYkO?w=1B=7Oks z(E-YBE4v(fZliFc0d;X1EwSng0vpN{MAH5qx6-_r>8G#D(mWBZ1}dlkJL|-CI^Ax8 zQRb_EjcA;JZn;$4?4+=ViuI;cbv5CJ3Z$E3Dffi9&8ExORxs$@^{hQK(Enflr&1>C z00V0+tG`^zPx53d2I}7DU$uL@cha19g~G0{@Ql0^O0P}&si(X4e)JbvR_A+K+_OfV zX-cn#_Sb(hQ+Qb$J-&opW}UTeMZB&Tc!C7XDcphhP)@+%CFJXH zIlG%d@Rp~)^3$0wUJR<;9*7gRjX)!r#YJ&p$1B@1zl$9(N-6X0g@r`ZxjhT=Hdd0| z!8)`%RrdK^SRwMMpq+1iA=f4Z8Yi6r9b0k|7->tezdvEo0<()&XR+6i7 zx#R1Np6Ym{h)q)gyZf;5@YVEcp4%2{OMW~pEY!P8{_^xAZZsUd4I?l_Kyr!k7|tv?0*^@p@w zp>VQJz*EkOA?=q|C&l+wu*L~E(2UotD1G?wAxYA_V>c`cnd9C$XDjr+OhM@VphOEz z)oC@qq(~%VwXt?`miA=O^62`{B~Rs3Ynd}HS_ znmZ4*6azIXbIun&_UNdcmI3Z9K`p0ZBe%74Wxy`v&PyM5wYChuqb4*?a&j;vx+gbSd#~oKa`whnq?4D&}Ky%W%Lw=($`D|5)_K+rA0HTS2k=GU`Nr zSgA&fK)E6$m|vd+HRjHP)CWSaP@xb~ zxM)~l{S>q8jgq@8F{OTmZ*&gfKQbD{ew)CFH@w?MNbVPd3xi^BR#f;We{^QfJKXc+ zBAryAdiRJQF?(Vu&r7jy``eFhx5wX-3(c?6Vm!I80cJ5$VV|I_TMh&T`C%~o3hwOi zz5cSVuVw1>TFcBNfg9PxECL|$3^FC4?z}~pFuNKTg~kh+mymE;3|MC3R`~+!&RaV1(P_5;uN;G^kE~+__(`2ZM$@wXhjTWrZ9{F zkwj2Ds89~#ba8f&~pC`%g2* zWsZS*rzg!DRgo%X;N9BvTrys2j+-NNX}#d5gIkyny@iqYyZ;dZt^XNC#VR>zRW%k; zG#b6j$2a?)mMX_;vEmdJZYKuMI^|L}OZjIY(do{LeM+-GCz+!a>q=2x!MF^gav+nq z*2z8@HhM1-oi3Zua%W(x5!FB2{xI#2$bDn24wteADYJ&o8I@^i-3Nk;*Qa~c&8PoO zUtzl1|KUE_mtBMYs!=~xAq}DFDL@<(cKR0wZ?~QBcC2$DSwMfqiRGQ?trHV!$vg%aMbLkr+Xb6aM~8U75<_ss2Enc_%zL z#3HD;>*mr4_y2saUr5|q5nowF*citfwteyp`>d8t7HE>uk+Rk(0T3b38k%y#i0oEa z-mEwxo$*3Ya9zfWEs|?x4`xZA)n;TM!vLj2%GB(NUlRnZ=8@8qnV<08UTN+)p*3JFC+=N{=a} z*SCzG1cY_K`#ty@yIpNscv=30l&+zCX%0Y8Xc`W2RQjUTG6L*~Uvk;YulkTGtjCxt z%h)<$^iIT!`m1=M=-iT3eZB)EQqg3fuv=WylC>|IN$6j^tbXcB<$?`QZoglKsZi+{ zT~Ckxw%TRzwa7mI&&}}pcO}pjEz7f0*Oxq;5YwG z1Y!{5U)RmHiJTzk6GQdGS6@b6gxlggYBQ|h5rnft@|_@ABybadBOba(;8b!Hd5272^l_EM| zVAk8~YoibeCI=3B46ie9mi-4a=@|&@SQzH_@{6C$3mgy=WF>~v{FhI2_t&6~5W;Y8 zA=i{^Ay8m^_(nO8)+n?h9kUDXZJU>{#mmdO1uNc((~s z1^pG&+@8X`Us5GsU=D*DIAaan&*-(Nj&^``t*(Ks)0cq??H~=Ry&C9fSOx)>8UBE0 zQ?X;%OXjecb@kEhCuMjkTxJSk-%VLc*QD_p==@4k6pw!2rg-?G?vW>%WBM;yl4^wFF7 zGsAv2h91#kb3^gpm-!*30ji7}c^GGm8S~Feb0UYxcF^#P_>O=sQSsck^!PINI(aSy;Gy9>%9= zbHDT6&QE+likewcLz%lu*O3LJ5T4vKnHb<$l6ES5Fe3@v=b^?-O-xS+p$uzX@#Z;b z-5c#keOW-FjC9YowLXt}R^D`cwo$uUwitb&cJ&E+s6&Y}6J#ofe&J~Og?SLQTwa`6 zA-RwVC!*!hgvB;ICr=%Zg{z$XcXt$XVi1m402f&<8jUq3>ri$OasS7oK6Z8Vz!*FI z+nv{zv$T$6DT4$Hu&$+(?)T5t6Nt14MnnJRG1qUDsg}AYiV#dBCZ)m{E#qDWJ(uvt zAV3mqr=AGZLc|?`Hb&7Ft1w21t6^Lb%Lw;FYBZC8{GXKiugsw=IkFZ>R^lG}lc(Y` z;XgBvG2Q*qa6ZL!(kMyT_l(IhB;e1y$gP>r_jW73fWZm)K+egsKbomF-!kyGkQ!ce zSD40s*%_)G(fj_Sa=Z{r)TGzFEJudA6QKiRC9W0$2b=#SmwZUym5{wFJk?0QTJ(ik zKt!!~i&KYvQ3OS{wth%t{OnSZrsPE2+~vCE1HU}g>i*{cmUB?}bLn20qdFO0^eE$Z zgmMe(Y8odG_G#fdv=5TxS2vhh1HVk=Bb_@PW4##xGV52WR&utPoz**5zYd=_*kr`B ztCr?QbQ3_>>HW(1ks*xET;b|j7L zpg+*qd-4S=SrhFZIeA#5XzMKk1q%qDbHHO0RDgE*++1K@cp|bw@}{w#-0Tu6C`>!y zwONIE9m8#SMoA0*$-OZ%mh3Esn*+18;g%&Vu5%<}TOf42Q@g+YAx{rf!9`87YhxV+9_pUsC}I#2@RyU4-rtm7k zwJnZ7?8MqIdBd{{Md_V-{gq%;u$+@ai-SX0lZY?-9JGO zLjvkj#9jqv4u80_IA=X)TDo;pquJJB3j49#DG@Q zae2xuY{-mv0h^hJ$KAJ>B_3Kfvd$Slao4#G0OFF}=h$7WoiPI1a35U8TALcw@(2SS z(rA{2Z(Ga%lsnjrxW0Km>>!H+Kv~4*xkx$g0v7%sP@Di~}y#7tkAPV@O2o z&5VFSp`}Fp@gzhWL92d{%O13I!y3cs8YI3A&53N>=MX@4q zXGiO{+^LIiB<%Fk-cX(~Q{odVj3nZ%Xg|^_*97O8$rq(1n{ppkThuJ^Pd)R+?T|&z zF@q+zWu{Bqrp`AsmCOR-YTeRsI^&pyXXf2*xGSunW<2Wpk-DF#7oVl!`>=U>#M}D~ zYEwn$*D(cOP67i7qcLfk{zFOb8v52-P~hT6hvY5b_a_FCS*V5E_|D{nFVWqz zaCpSpNG{H6ZD4Z-Qwvh?CD>Xppnd0Zq-g>!AE$RegDX-om4Ty$tM{hIU}M&mcR4dN zGcMVSqr0Q4t5XRkwqaY~_o58dTYeB&4^9uY;91z%h%l>*YBz|XTd*q;8N$_rix4<= zHmG*R+IBoVR=vwoBMPZ|pRa1~Vh7R2D3Rxmxa1L085{rh@8O82x+OWNfd#W83R6m) zR`|H%K1cxLwjvJ22L5ozGQk-b#jqB}4dF+!`sUNPW4ew+(2ae~UKc++zy1_|~0D?$X}fs(U7S^mDEIU0_9Z-xp}IMCpn?&$M@} zxTHHKd6J!aduXK;&W=x)yBjD^;$00dVZE23Zm#U?(7e3@&01*ajoxb6jIXQ}yDXM$ zdG29?11F}tfe!sB)REE1R<#=?p_6m8Z`iL!=jzCfv|wn=EG+%$-B?)f-RWB`2nF;R?|9;;w$InhrNbWpJE0x6dlkg#>Ytz+fJAV#b<`{S?4G8gw zQDa?ehPchw8Ws9nh-`cM#SwQCp0tw8WJc&q>%l5HwOcd1y z$(euueqKq55!1+WP9KAZ9bJ-b2bGF9{R^6tZL_$PG`Mdg=1HCi64EBT5CUNInro^d z!#h~X@Q&luY#7|X2l03of~9oBx!m<&Pj?j-bs^A+_Y_N)2{zi0YO$_h;@Zc zRp0uxD<9TZfkP02^>XL%pN8?8<2;9aCQ8HDt&Xr?y2Y9o*`iS2oq;D8`vaod-u5n%;rM^gBP=Yy@D9OB0ZnQ#j$){^7T#Y$!g+ACy|wga*2i6Yu$65+zQ%AX z{mqu;$*^_wk__ar@c9n;PkERBLguLSsjhT+bL4(6Z`JG@-wrLm5HfWJGtC#<%PaWP zsox39Xh2xyeEk5~D*;9#epEDU@Brnr7@U04Ma-V?X6Car7#PwCSNM@%KmSR(td+dN z`{=@IXGOf^@MfSC5!;mLC9uE$LVk))V)b(3c~R(poNT)0@G0(OT6%qQuFgoxa~I5G zhQ1*d!*kJI(~zB!d%1CQa+7Jex}9EX;^vI;@AX^#G(2;HC3j;Cze9l7f}nwYHFnJp z*)q(^P3y1F|KlEwg(OM?0*cS#8{iplm+YH(^eDDyvED+S_RTsrdsMUj18=aah>5&h z(Yt%ccgS|yGSQp*pNE{$+x$3;f(=MI!CK&Dq2R&8BElWZY`YijFQ6%~w!qQBx-S7( zL5Bsa9@iv%!B;-BlZ7FXZ0O|RO#e2@UPDGWgn@}98#u@?HCAE3;S}g%VR!U0U z{4snH@-J9C=6=V3(N$=iik6|dvopkO?BFG_3H(&V8H}c5$a>rbhhN}uY4PKC+$4>; zjNva9d;7gh)u^#@x3}E+^>Re)_3MFf(h!24SD2amrBptWmt6hW?j&exn4k@Bm>d&VD5?@Z8R3JOrU(qpc` zURz{G31i?Kh^oldEfc0{XMUl?^HOfss_dT(O5Rn2{^rR2Ba>OKzUO942Myd3cF#$w zg&F16rXMTfE$tr>&)}?c^O=5J$z<915J@SLm^&<<@$P$;Bkdf|Ez?hXE zde-aBh%E4pfEIW`>VkFbcJL-95Eke~9wg$^$cLkrj7A`f!2L>crZ{wv_d+gYCANb{ z!oHX*iTCHXm1YhZ6$NXo%)luBN|%Q!w|5Wm&iYz5?skQRJM^JhMSC zLGCeLvtE25^VAPIM!vWfosWL53a>g|3rJJQY)|x+F*oak&MR^G%n>l}bK^TSDrWK0 z(@WV_p7u1f#4))8E>kiy6xyY>;hPb0s$$&z;$-DiRzY{QUz5fsG{kb$UTKB`VjVCOHQA9kHo>N-t~Sa zFHVYJ<+R&n)RY9kH$WpKU3kP$!U2N0u+`Ge0@RotW(YaI?ZF;6fgh$yKa*qh>8AZA zqSj<(Bc>xTBpmS!%w|0`Ec{5#6D!NUtybU1kxUb z9aCCd_yHh40mMTRFQhPd2}g~hTirS`qC>m%@{P=@oK*fGd=sjv#dN4({2RpLXcHmm zMc}#plqUOo1%yBnIKuaf+S%yy(CcHK(2f2owaKrd=ct>2$@9`&>k!+eQH06@o&4Q* z2(Az$AJA-xhrc=y{d_!h{1kyLV57yVxvIbORW9AfF#E;};j1?|SQ-a#*R5M`NW2M& zKUC;3GRb|h_=SOs#7@4lKh{q$M+?coVYTMpVa0tLpA39zfRDm8+Kg3@==_gvX9Y47 zk!f62Oe}MgUf6P&ks(?4+lV2_w8Mx&WLdoZeumdoyN`fur~EPK_%YQm)rEtY@j9$sSjMOwWr$7@eBOf zG5xsv1f@#;t3cbRN`-Jgf=kR9^}g=guWq|+Lt$=Na?4mBt2)P~V8;d+Uq0I&>vg_L zrqu<08BuE7H>Z131ePoZW#bwA1&5w#?@F(?P+T;Nd+$h%KcDHJ<{(j(IITjv=dHYP zy+tZ22VBhm>*~*6ji+iLJIBf+OAv|BLnXQ&60!|m3uUSo?C^%`${7w4ogGO2mu0m zM(3yQZiQRvDN$ScTL!5-AcNuAAPNWO&|AWnLI@@KrN|tr6GrWf!4jeB40(s^b{=qL zJ^KHIc`Y^gCeA{lpB#HSvGViFSoc%OCOG3k?iF47a#;mD9g%?0KiT z5noPI9VgaC!x0Rk=XO7B4Yxo5Jl|ItU8tUDvZkD+dKW@iFAkEmsQ5q78yTB>QnDZi zvK)Rza=t;8ffLR*?de+w9|L0}PzKT?R>)C{lJrF}_X4U|T8K%ta<-Ls7$IVjevHYX zWwNO3#^}#S=t^zkWI;doHij!SMQ)A~Ih+gqMo{|kdmzAz&6XnCR@!Qd*DXaOMz1Ho zdQiHMnCa+mM*Yu0!N-a{1q&DYO_DhcRW_w1>PO718?~^rW6(P_z^(nIxVuZw`Me_& z#dh8CM}-!e9=eT}MVDQ8ke(==!!c$nzd5aI<2|SL6XF@OwPg|vx{nHeh91$ne>T&2 z@_vy^UAr@_R@gy}&M{!Ghy{k-$0#vx`+R*Z=4zRSGW%COdswp0%2EDF_cR<*OH#6$ z0_<1>z|1S4cH6>|jNgO)I$~vsL)=DwDx{Q}yU>L+MdlJdJNeM`32pJb*>n1Ua| z({pK?*F|?h>J2M*2&m`>;Y74->_b&f-tkBH-;<+W;kUsBz$=%qahu7#S|Ft+dfzx_ z0T|JTL{Ib4PpLD5+#GIqIEQLl`2g@#%sQKZl~@Q~KoISpNlt~l6lb&T41HBy9OqqUi)PnmFlOqSTmH4SExtP(V4 z)mUyCp9no}oj#XtZ03!^rX=jF$=@vx0iRT#N%k_59x}B-W|QWHvTwiNr6b$0)#S^$ zFS-^o+^6A*o@In|qDL1@pKbXiyv#_xsKBLGm;HW*o(!$p`s(4o>&}^3sJ6ElcuV@8 zZ+`M+n!fja_4~gR*W|PE!1NqH8FZ@MTDQ9JH}5mce!ln9y&2h9#mCq$?UC^M&|-%F zw`t^8Znju5we~-FuZsh-O)1G*ccCs*qvFxmSWi`s4`0(6 z{|V$y29OFVJ`Y<`O^SX(j95!lNAgAy^Yo(3>~IH2uRO?@AY?sp>9_e}ibe4RjEMfh zp};a>KE-evOu%2BdrgAAcIELZ)yn;bTfl4U>L(o+4qeJ_yXyN>Z*RZ>EfWigE5rSITXjyv3LJS$@Ta)8F7vYzVX+G7%+QS0=$ zRIb8{b%(u=VgAbYdbd00J{GmFa!b}_PnP86h^nnu607r(|6+@i(@DUHL5!C>-PUH_ zs56(g^RYCF$=*jq6PJ6>5iEIeRH98R<6UiUyzFY5t0jp>33+2{R_-j`5=vEyn=${S ziae)qKxnD({aub0pW-H8lrViba{nb6MSQTQD)i6f2c&w!9A=kWxFnGmmude#d{U2b z@^Qr}GtE{1{VWfm3DrC2bvkn2lZrRbo=BQ}-*2P%Z90O9@z0m0EVbX4W`Zy=7xEQ^ z_Xz5@mcG7#UrXLTK5wx%{w&q+o9D%<+1_|!UrAhk@>f~G zk~;+E>ZgfiK05|{C2Z;94EBLNQQ&$H{Zh;T5W$F&GIbxjqvXG8#q-F$#QZJq&w&h9 z9DuOivy&jlsjltklJf%3rv8e~f)OgQx@}-^&5+b860}EDBi==IFSe04xT}p-WJvi$ zZjcHWdYq4m56U_D4D79ZxrIvJLANA9QB(>TW@GwFTFf65?v+NbliqBc6K_Ykztzsw zBW=_q`Hjfxj~`jLRiqjy#4&J+ViLt=XGfvbyj&@l;b1?)_;FykSYWl5h^Ma_2;jir#{fL5w0~tI{)wNG_0@$@NWAo<7o>%>tB8Gz z985Z{_h*m4*%y@+3$2=-A9c7HN^{!&t<972E~vb=l&Y^18qOGBn6A;{iqo+ zCqtP#FzjCO(hd(C2$8ExOv!Sa44(Thz;0iv>8w<}8T(er7Q?@*oB|HiUQiuAMc1?D z*}gWG2~$R}?r_91TNM44YH&8L8cM!l#-sIpky0gD8!F`yTHBi=OG(*z6AcOcpYZ#j zt^FTuftuH*rL;UAbyYu`csDqAU`(**x?FsO{ZPMZC;Ej}V?$Bm!>?ga4)}`k&T&@) zM}YW?GhDD_OZ4eiqK3*F$0*LogMdnLvu*Ie(z_ZUG!TGU@ARk6_BM=9_5tl~R7v{{ zQaC~hOO2t~o8Pai`SZ~S77_Cm2frRLda7zuD%r4U9-Z1rZbT!*+#9Z}0N8@~(NL8I zsW(o!Y>3&x{NGQG6A z`t^O#`ncZI;zuB?A?@nT3~bp=|5eWasHa|afCvuW&mANpH2JhHvBTUDfhr%= z9&8uFy3H^ju2%v=|LP(me~iK)<%qtDc0ZUJUR$g%LfMFgxp3W|-=ag+PBzjDDZLij zcD`!#QXaSZ-FDeXKKfDi9Y?dSy`zN2sC4a1zI(3Ixx&kUXPCyqMf2fi*~k$2h;mFa zV{=`vH8A9Z=4G z5hF7`j4-&b#{N}I9*>x0__1t4nMy^jC2Hq`%{qFGX?dX?V>2$Qe=A>)|Lz01N(UuK zeX!V1xNv(o8{Qy=iIL66!$F`3HgX2l*^XWh8GuMl7I*1aAuEV(#pbDsEpQDua}EpS z_sjAj5JbN3(RNWsl0QL9rT2E@t7#q-3|QMReNyQHE8J6$aF*Nw;_!}a#{AwUC^2V| z3gLh$1Ihkj+B2j{vM&xqR%3!CYX1i2NF+R~5rRuR;)Gidft45c4!6x!#Im(X66Vp? zqic_R)TDrFU3|rJ(WFT}^N7Z=bEn zBmSg$KR3B$oVsbUHOzh$#>Ez?6jRq2$O%n2Tiw`8+(Jw6j2SHaqv73f1NO zoJ08e{w8h)5qFz|Rd6}9eRo~;@$k8PDeBorXJ6zRJe7fA{E=@T0fHghS}U3J9BbEp zr{+uTdlDdrz*)YuT`joWFCU*60b`6LV$bLH{0iPSK2gTR`{&W$#AmZtFQ`;ycc=bc+EbED#msQ1@r&oaIW&1;lvDxDhNert7W=3u+W@5Zd4uP3`NtDPErM;%l` z>wTj8$JZ*S0Wls`GuldV@8QLXpgOJvGwX-26H&6&>ycy)e&K{J@Z(m>WS6J zhZu?`TTN-R>1C~Bk3RK`is|Wx&m#i?xDc@p)$l`I_go^lb#)oQRtO3Tey(t1<&n3K zDJzpFUk;BC_@AvzoOgxeE6cHkTJv|?=?Ht`%q6pmDUF1?ao`Rj9QymzBKaq?h&shz zyLK(?RybsXJ}ev4P~X&aFxpd?!>05-pY-k3tgNf-_k2Db;kV-K^R36NG4LTbGn8jg zZBy5{-r1-8$F}uchUp8@S^;i;%Hc;A7@dK8A&2 zizz8V`)vN`xN(0lqbNlD;CJd4Rvfk0l6WS*>&xo)P1V(lk`ek_O;QYOBgT>>zD=(W$Gi!6Db-uMa$j9*5SXguH z#FMU)k`ip0(FP#~!EIs@!*y`}nLBO*G^H({?ff8@9>NfMSi%#dMUu5R*ZKeM+-12> z&K!ity?X|i%~^c>bCEIzhDL{jUx8I(`W#qWkWYI+_P8=OZzBsWu?M0W`gRWas)b3% z^`@ZDH)Mo`uZqWk01t>W_WMHf$CyIT+KhDz-mz6VXkw zXbL9DxLJM-RN?l_UAOWz4#4+c5xr$N%?AzP_%XH(8#aK13ovxoh$>lYrRe=d+5W2J zTCj+F>YbLhhT+Bv8M<|gWPlUE^Z$fj_WSSc|Db`V9z=9cbd87chEJ)4pM`yA`Z2QJ zFL^6}u2=vS>2Gt6(@Hj@4NMm!;#Wh%G|m*~Tdv(zQ-9Tun~$=^)qhi4*W0(*%`sC_XD`O#W_1zuO7t6E@WL;M1?iDHga&B1uLWFm- zqXD<+_1MBQIw_VZ35>bc_l#Fu4GX28zqc~wx%2jml+TZvQbO|Oc5|nVUiGX0L##_Q zE19zCy}E~4(h5bY6%yq>iSOVsmYJL#mMfwdy1nH|Ol&{;ai3gJW37wx*2`(zqM3@- z!)O}MOcLj1)*qN_O3L)&zQuO2%Ia*%n#=x zg8LzKoQHdl?VR^qhXKYCNbaU(JO>2l${*xwHNI@p2=>o$Ye0R!x^2~CZ&i3bf$WT| z?$a?etUg_{nQD2qHgVW{9xzJyI)BYpg&=4ppcY`pHG};zdsk4%59_bmKs9G-(P?qmHgNP#HDS_=OGY4i_Y>t3!4N!G zz|(P8{mb1%vVwcLXgM3(rY7|%Hso_Au<2ttq&=H@Nz3d6*vdJo=023aufW`ON>Ok5 z%0?MB#`@>_%exa&A30m8)h_3@3XwZD=f@>Z;VN8{*ntKFCK(JgL7l)n0tOIhsOC`` z8p-0XI*N4TO++ti7248kOiotFmA=etK(Tn(NW3&5cg{$CM& z3$hlMwk!kx3g!V6&D8ln2=1*^F2kFSeD|;Y;h8M*tWmle72f!6i0WsY^PZ~Kgj)X4_hHt?>H~sFBhoKl={``MCzE;OhjT`@#`4rleZVKo(70k-Y zA_MP(+pqef$eE_2cB@K6!kL7SZY&c21T4!=bFCR$Fydf%j>B()-V|!VwGVd|!Cx#` zY}j%<;-&CyHhbly{?+T{Da_M_T*uB7+8AEXEo40Rac7GD?j4H4*)ki8+e)*qm`d zFS#_TLZ%0ljQ5@?nW!F*gzCzqQ7%jPJ^LIEzX8awb>5==>Ub96z0xl;ei?UBxBDH; z2_M+!Q`0vZ|5uZHVpDiy#O@yBZTubYZK>~V^ZVidVg+1U)uPkmf?ba9+Zp47*0-Mf z8GVs;^SRjRBwz2bK24>r!g9Y67Pi5D3@Pne@3jci<+#N`YJ6XE2BtQI@%DTZZZ=oP z13;`!asO?B%660C@r|0=q%mY;&;*!=qoTw$)tp2D{^2E-LY=x_F2Nn^_(6Yiu7!75 zdV_nqpf_gL)by)!zozcDBh!yVMDrC=q=u?ldxI=62U;s{Q8R-_=7Io~F?T*Tc-O8} z2_~x3R}>>eox0y@yY=$!^u^OZyu9}8NjLD8sl9E8CQn$x>>}!ms%0 zYRw?IRZv=Lycm8H0Z+Iw@Xk(siT=ws6p2G+IwW&NAq|L-v4K#ABZ`zE3K^n|8A@fU zC?!cDV`-2%^MBpF-@n$k*0Kb=iYl?`x+FdIJ)i@=mckt_Sd43hGHkHmL?aZ zY)a*z28oVF=zge6KH1T=?d4^^=#_xh!_2!+na%brPwluZ_UmkOrFe^W_KiBfIA@tQ z)~XV48*qaasiw{c)`Y-x@a73xcbGe0WNqvTdZS{faPrL?sjrPB(v*0n_ipiK*);k= z_d&gkzj5DF_qetLzPBRFySIKV-OL>-cSJKlE31j6C(^~Xaam+gkUl3YH9jP&!@A_c z>!T)NS=gUo+{Zq>8{8M!_%f{mvc~afBs!o3g?syM2D7aebCk<~kQa91fp7pzy?CPQUTXbbk7s3hB&`uw5=Dxxjm?Z86ezWlPO4@77< zRhW7nsr==qmNcDMkTahQ-4>}wFL?gG(I!zh(2HiYB0=uW$Ne~fcoPUWZgB847BVEo#*4EbEd8Qg? z8@mkGrez|a$RJ?aWOg86{@zh(wweunp`e`u^SeN)*Y^p(-F&t&CQK#Flv##sw-4Y5CDuB7WF-@ zOjPmaLhJMM;oSVDY_F5Nt#T~K&I2n3N|~|nLwtXtVdq0Nz<@nT^WT$B*KRmF_AwW( zRQO=(_l~>{L2~7|GO!DKn{b%t7%C%%w5(GirSgGWA5xdV`Uv@vS0w=41E(}0gy+Ij z47YzS$@mHl&45T}I`|dujoLEr-e-6inKSR*W`2{iCkLig60r?V)|Fp_`A3S1 z!HW0&c|`CT+`G5>jD7RJ`jxbHs|{4PW(*H#LRAYX#@2xOS)t>Y7E>^5%J_!dd)dZkzP=pXtP+`?XvSmi{6id zlB*jMH}TC%k6yv6jl3@77k^k^xhP0#FRGVgh{^p)tV*BO<=V&Kpbj%@Yz~3X$eWIi zTq9N*7pfhJ5q|j4BP;;fQ+zS<_q%(; zSnpkq(Sdg%y>!AHH7w4Hp+WwX1H& zAFO@oJD6gndyk~0U+^ev2GUhK>6iU%@^8xfTFj7~pvImBp$E0prBQViT} zuu=Z{Rto&+gaDYh1f8rHH=C^um|apiSur&JIPYm!m}IVDK%Qms{^-ARi(~VNM1lZs z$>)-OdF~`CQUZJ{`TqTrERpI@Oi`c_ocR6azLE2-Wq3o^tNJ|ZWS7Nsu;kx#u(;wx zl;XE$J)OmCM{nBSIEQ7h{5sQ=?t(8~Dl2ZjzPnV~e>h$9k~8(_DJH{%`zhDhb+V4> zT10ihrv&K~VVk~siGBy??wWO!X@U}~Mf+ciQ=5DI-CV@peRuYxPwAesLV-1As`qew z*|RT|I@!w$cb-piGaGXf8M1E|asq^#CLOli;CO$%VMnR-zzqrUOj+T4k$Mpzx`@-m z1H>C`E*0!3pOsH*;CGGCKbp<-W~GjcK~`2;VI;d^;~o0tdT+S?kEnW!Z2pz*mgrW+ zrphE9Dm^#+H8JGbAzXjYqw4KXBTV`$kg1=Cnm*wk#8b=~yH|X-q2b=_E&cQ}-Ot(f z_3aAvEycvMLPEk85#s_sel$%YHxYwh#_Z-fk9+EMIwigQH)nGMEpwFzb56_+Z10?Y z@?A>3BK7(Z4P-X4ff6Qy2ateQ5S(LQ7zgb8exiKjEQ%R%?g#h1_w$~U_ZM~wl8hz< zJdJ1F#W3jAb5#)*XTykio%nQ{iNz1GZUfT7!|_eNthjytV$#oh-=Y-?LLShgi<&7+ zZL7f3Do`9b#22+-@fa37Qnr=rHHzo*6}zu@x-a}5nqRS6eE)N>0hUpSaT4a`tjg8a zx?O%3=67A8zy1ND(=~w?QkAd(?SVD3_Mt;UV42){XYt9FC_f=_SC-tl!c4hgCZgl? z-#>?7I_+-wi(mG1uH8y=)-4iI8d2Ht%yiY)Q?4giH9hd8nc7=I8-|nO<+nS`A}H%XWv~*Aw-NUb@!H zo}J_E^A?FLo?V~6!A$LaOf2h`4TMt@_MCZtk|JRYL6PSN5%s?`1~^n=U%&o@v0Oqq8t9 z%fRaYnyrQUk)#3}zuo*BE>s=K=S8FrnlE;BaA?Dl8NICSsbL{=(e$WAv5zE~4cP@V z{SV8kw3zu0u4cdVp7(^pO|j$b-^9#ehxF-#y_}QO$yYlWW^!|p^Wj(ND~4;%dunD~ zax6@12yL$~9Y}n6&zySWuRx06h4NL+F`F6B8Ghe)nOedI1RgRvIw8WFMTe^uGJTFz z$vp?(=eXSC8!;P0jVi|X8wfNf)OD&TI?1GkT~%j1U@W?s$RogiwD{YJ>&AuJr?Z=P zWF9zNKNmHiSbU`a=0C2?y5=qu7D2UMli5TiS7y>-mTp0obYKM>adwSt3Ew*)|S1{m$$Br00ICf{fb{*x_8@$9mpcFSR+1JUKJhw11hS} zQAjj7A$C~#S$&0#4BisL7yJ29D~MzQ{p}T3XQPl^M{GHBV5D!ah}MV6scP6TiIbj$ z|9ugpnew;&r@xmE0sFS0Ws;?=;+He;lBX5yx{QNJHbCyklmjYT=yk!b~U8a|c1peFUSG-kkDED~}e_gux8fV1Y>03EoOb7?X_nF-(~( zmLKc#(^313A^_GYiD?CmeI%DOjaZ)^)96{J;9}k(k;}^Ad*i>m7c5)=9@+}u-7o5% zJY7l`jNXVy#=-BP8?fX48oX*b202U@i@hF(*&v7y-pMo?8-zOeH4EBK zz7*Pa1GowNqd*D}yK<{d=MgWn;aVbtb5Ur&gUm^jN3qfGyVSnX)Usl!^=VDn;GTqC zM3hIe8?t)WXkVn3jHqT_4@| zqjLW-4Wv%>U-5UDA}$8ygqJ8NbMjLv|V3ZBWx4z9YcM0q4O#jVOh#q}G_}@Kya>~jqO!wa@05i|F zailrKMMu_!ZR#3mTdP&U$^+bzRqHfS76Jw2k_9!`lREr{6gInXZRu=S6A0a zJyRq_eoHXRtDalGpRp3vCfea|?CX)O``RJJ)521-J5&=HE3( zGzzYs(CrTHiLt+#Jt+QcVVoLE&0R|KjPAPg%ee7si?eBO+N*d5H(R>1o`rz209TUA zmXQjpmSxK7E|#`ejXG8io>Dqk7~{Ove+7qCLJ7<@&VAMxewZen<9*Ar&^h*BmL>?6 zL|qDIFT8kdIVA;)d&W%;gY!ce{IJx4$5n2eqN3svg2^>~wd&$o005h5m4Q?1RCKr%`+7zMCv`V9g1a`9SN(p5tX-U=}7HA4Peu6*r%p=ZzTygSmNyPvM@> z7Jl#8`_>hMoD@)Rn|pSME=*z^{_HS+YQOh z&?KzJ6nUt5xbJ+`lCm*`rzhh+fT~k_aD~8RinBhfWOAs(X!i4JDu-6z6FL}RSXctW9ww1vl!#4mp zz~tWk7x?Oqq==?Y~#{0bLrl zNi;|(A%?6J=i8b}+($uhLC$Z9(fie!PL zhf;>vI1tr85MAhYtD}4u)~We=*x8WIUXq+AF44fZT_vJ8Df7KV5nZ6oovQsF>jM<@8}|J3*q?D-ZMM6 z+xDD?IW(d>Q{h+d`B?STxK<|Xy8*Z1lJE7BSs_$c#IC}>6HJPh)m~i38TR&~suLn7 zE?eCd&o4=8HrsT6t6O%n=jKx?4htinV|K^gwh|3};qkYa`pRu{%h*9%m9shMKN;71 zv;4EC*`uj>D0m2h5?;ET`A72$Bx4a%LhsT3@r`U=8yG~d3Y|O-3A9CNMuJ2bfR+n( zInUtdXJla!2Kq^+I2Io3kXk{JZ*RP<`dCMS@#1j3ezrB*JxU$C!@bSnOxXBD~JZjvo!}7YUq2+@HTj93vt>78_i->^9 z3++yqy2&g!Z!dt#6M%WlnR9(Z*Mu)1f5J{@I%6AP<2P;!xWN}P+5_y5f(X6#A{3gi zn34~>iz(9=%K!r4jhs9O4Fu=G#DBF42%u9OT$l>;2KdEdz9&YeCnwuI;j_d|Bl+J= z)BH)>Eig)P;fd3Ie(voB&Vo6C^l`L>_Huln);WycnUh@`zPaF{y%9XirPgXeLBDZj zVCNA0<{>&c(8K6m$F}-kx?gS`^KVX5eYb@hk42@={JeQFoa&O1ka}zD&DU8Tc!+ZG zSA>=A?UY*fF#be4Z$)Mf#F*GkckJR>x7Ai*nkC>W#Z~B1JkpII!8WtduMT;y#BIuK~85^gih9w zeS10Eb;Wp<#`O;`svX-qAD5-NR+4P(l#jD+*$03>qiGe8JxBZ_Kqch{6mVozTv-C?-rt6nbXc;b8si)tiW5DXC6$?~lxcw^BhqgA*A z3IidT;|xHoO_~^@&UTmnC3DaX7Egy^LJc9pT6A*=EyX)23zaT{N3Bf?jUovgZ}|nt z%pXAVljdsf{d)mR(~*c?@N&yDSbV@Py*W=|9OoUvYa+~LqJResUIejTy(>)pXPEot zG0)f2UK)NYM*<=UE(`65ccTLM7|dpXx>$^E$5W?}=W?)Vcm|G(D8UI+({qRPh1;H6uE!{^W{ER-rPPOaA(5rw~$?wa5i?;3OpW2n0j z04?ki_-;{BN5@k^$KRe?2Jo82D+S%ugc zS0FB2x*+|1bl2O}IxZo-QJ)PM-qZ!hq~7(>@-gn!$}xNvBZ-U&ZJGj2x9{MVohd3S zsN2$2jTr%MmJ#Zm%TI54nQYTmGk=4-#{J#K2U||;y|u%1l`iqYK|@Du3~Fj>{M){u z3|zrI(epnh#H@cn)#U^d`GqxdMKJGVFzzOnz=D%38gRA~{^%urwDGdP`pCiQu^;u5 zwO9Bqz(bUSTr`iqkNa$OYNnQ0<(8iy*9_SOZ4%M>FCgR0nKO>ecW4Pe@{u47kOruI zD!lQ~T={XCPhGx^YhiD^oc3b&(XY$5Js%^)KkQAxD&Bu<$EC)`Mzs^y8T8)cb3WLn zkTQv0%56e&AT>YV=uY=GyDpdRy!pYrl`BG)_+4d?-t_`GCLrN7t-Rvmh>H5hU}4N) za9l%oFr^wyy>~+%BGF3$<{WLqkgb@!M2MAxx8(Hy5GWNru^2sN;cZF0o{ci~j5myn zT=mqGoEobZ(_a|gqN9oPQpq)%1DzN;KhWhJs(N_SK83G^zgSwf7kq(CIj)6?WPW1a zZ@J20rBanV&F#XBR560q!Q}t)=h63k_+W;A0{?Y+=x$~JI}OUWE9olJlc+Kg7_fu~6m0T}n>3Eax7X%hkBv=% zbP+&a^eNEilv&PVVTs(;2trku`F=uhsrPHvGRe{jv;GYf5=575nbXqN7C)&p;B(7B z)d9BKuHDbe{TjC7Mn2=|Sv@of&xkLEhxn9!{QcBgsX+ZTI~*BMzOi01d1hxjh9S3_ zU;l#1)xeV)Fg>)K8}mrz%$K3tEovO#C;a~J(d+I^$e!5qa#{W2u1D$nxy)zJ?@te< zGv^-;$+oJMLasno<~Q-yWBWO1i=1xu@S>Mf5r}j?V0&<7U`;=()O!@Rw`|1lo>GkEi)N8_lNhTb2MX3%!i$R>6(o<>5=tQQG=Vj*Y_#)RqEcnb9-s* zz(t$PnjY=c@KJG^{Dh3qws#=#*L)bn1#)Ib(?PGypk+(IW~xOx4M`0~Gmaz{W?Z() z7}nuEp8j3~moEZFh&K}=DD#L3x*`}S_e%ZIP-OnlMioUZh4n5whZ+wb=6S75hVF`{ zMCH}+>|}8k7u-66IzX@pUR9s5WI7*Y*RM)_;RQ9gqYV*N2e!sWx(FK&|3VKzjvYJDPup**bBIkx%Sqr0^l(jeo@}ePL?zt!D9hE*uA}H zd5_H+24PUOmYbKI`5raC)f}QgG8#dC!_$~?t7@*j>IK@A?+^Fe@yXhCb)Wx-F=@2u z!<*n`-}z@>-3cYEr>S}QA+%8EQN?#Jsuxh* zsug?v#o@P`&h{#K-x20kW}Fdr-Q{*6OLRhnwkgZ=oRk)MpbDid`}Lb^Yl2^p=*A zsmG7(|Q$KLvfK9a>Y^^9|O{KUm4`D+}3!Akr!NdR6ZB>2{Szb*+ z@-!M7_P%F$)8i`$eL<2V(j%`NjI=7M#J_;O!Vy4MEE0U`xLL55MSEKnBCOb&I2d~0 z_u{z#+|5|&x=*})`*v&B1P5>3C1{~e>bBG`{Eb}5nD@s6{4YFz5^=ohIuNt&Z98T8F_aL8QhRk{QSrze>gI99_St=+>$tBlK7)^T7^&(FzhAA-1Zc2%oH1*K z(kXSYV9`HY`ANKtWowzf49p`94tXIY2mtH=B04Yr;@N(%ormjl_KKGa8?fL7i}c&| zeGe3W+#%i=yeq{}?B@hF`8Cq723rTkP<>>1#)^xMJsh@QAbYip%r zcVlP9h2lgvTExaH;p!Dr^T3Jc^Dj8L zsrB2tSt!-^a!;KLB^XI1uyH1K%iOur+-aZvADHG$Gw0<$K0CArQvJZ+O}_9{L%hi? z|NCsyj|B#f0;D8EUY6;7LsQfA&B?B6hSt_s!Ar1%hC+2dWQ^5D5R~EvAVCPE51cb` zBs@bDSU0*3V zPM}5oWkbXJV;=`b`=rF)@?gH8d*%dbjYY?He~!V@*&>He2?VjHOYkPU~~& zO4#etY248qC+_)OeQpjnRiOO4!_{m<8-#z~q)TGEZF*^I>pQo`ozge6bvH?$f0UN5 zKGEb~VtesXQ$7EBJoY-}Qcjf8RWYA+Fs)_Dk0|MJ?QP7Q7Yox9>-ao;qdqL0Zj!&; z>FPCSIScl_(ifu_X2iLV{*2tX^=>hfp5>-p!rKKR@B5b~xoA}l`9!(6E3Jp1iO_Uh z3bqxZLsTNO7_o?`P{6?37iakgDw0X_1N|i=f&(otA!m|+bF}Z?6G6gB+Hu(NS2P^z zK9-r1!UTrMlBg;>E!%ILnK$e00mvz!fRUC7W)HlEf?8K`oJ4}%>}`FqQa z)Jo)xP{tli1Lu`A?S&I4^h##0XJ$LT@aL8dN)TDpGM+8+ath0NW#5SZLwPUR%Vm!2 z0Y3*LAQooAENMG}%@qAZ`&S24Scff&;?Ny<=N^;!IIWnPk+$J#8p7-W90s8%96FSe zrL>7AERjofiq+>9IpJC$qsic*p3JCYDCnwfzOJ~Ax<5^BlyIU?T)^(@7}w0FSBp|xz=`k zx-{-b!9JwVXnv;Ie`i@(&ih7kYK*;>>|9%a-7`o6Js}vU9I(+N+qe>6vPOq-&$$ia zP5%;NFwv@hki=WK;q2$=v*%PHMS@W9u3GKH2g_53pvC6}4wm%e_VRCnD=A;v%n?^j zeEUED@buZ9U#Z%Sm?9Pm3AtV;T7c{YZoG97V4OT`bw%0(AydL1ZLY0CtyUdVx0H3+ znjfusL&e>%0)ybFTRBWjO^JlKWdw754~9AKV#_LjzeooXibULW)n=>;?AcI^FJPhI zu~I}qcFh}gDMh<3%}f7n+-}YRh6VotmX&B59P1=HzQtrmdmA?wiB>&&cb6M%#hffy z@5gv7*0|#nZ6<5slqN^(cgLHI=^%EwaP70!k^Z0t{`fx3LdkV^;rS;7xDz%FczpXx zD(E`-1%mY|v{%u*BCAA9RjJ#tIwZ*0*|g=xnt5H#mK+XVDy;+O9<2iy1)Cb{4f>^d zv#%wteZGf-=W^R6WRA)eD&V(GOHX34Ts#K`LF^6^^s{D_1aX^%eY{qbWfiB(cjdPJ zCGl93L>9k@*hiMM0zHYDFB#{2;MbfGt4m!IZDMYou{6tyYPLn6_q2td=zU4X-e^zRqptOP zH_=WMhw)~oba%UF61yOYFry%%xR)U=WC-2%0ep`r(AM!$L3Bn8yDq^OqN z!(Ne3&N{{P`qy1q9T1JD4e!{%EF3>;rHel^!@qd^N9z&DyfGSIJh}ny^RQXR<**E4 zIc!f45y@H~=*5OYeT<-E(koC;_>Gc(ijIZN zbD4l%R=WQ6ZctCxzaMY~?~FJvBQ{?f4;ZUk zl&P!6+6By94G>Bw!h&a9Q zi_6PA&9Yz8za)uqBW6ZAQYJE*%8{P1zY$Z5Ht3^a+cGz@BrlaXIBX!1`;kW|Cj^Fu z(r1;{llo}r>34F?uN1i`n_QWk%PKO;oY12G3a4&%(z+%gHSyYeV92UBHc>J&?oL@$ zoDNr#e^nE9-@j<2&#jq0u2Xy@S7m#8~TcbLGNVt4_0A3{6a1y}MjvmCC zl=w-W>L^!p&l@YUR1NL4O_bplsZ|CZU{jl1ymqqa6y9f|826d0UM4fnTWwcM}&tHzVcaiM0P)Q%F`w$ob(LL{>=BJ=Irw9HttHFqy`?Y zz1dxRgs+sEQ(y*(fquK5czm&Tx3*wvqu@d2+r2P842Gx@ku|--G}G0!Pr5w7tb1>g z-BqhbJ55{0e|kq=D0Lad;cJh%!%Ef8>w}vlV$weCGmx*J6KB(LyL6GSRzp+2v5MoP z_}99L%-h|S_4D2;<3ZnM&)1I9lCIWxh{ivki?UthaL&p$k2#GCRw&TziU4QdzSh0c zKJNOfGR8op8jDUx-S>gE!}*)EL0Hnn&K#2)tF=SjlNT&m2S7`Psy`w)nAOAD37)Zl z7h)4KWpqUy5k|&t(%J+4eD(3Xin}&V*khn!d6(TY?n4;4UB8Muf9Lyc8F9ue%d771 zTXnJ#x$2n$@*InyaUewui1&(vH|L&`EKgW6!j}PxEsmGlZKox&d~~^UAL+jH&#dbI z1;81w6eiVQZ{u8!$O4@vVFvPggV@zdq<;Z%{L0O(ECbxH-l?o6_e=@2yzZ4}!MWR( z+ocHXz)yx>>Kre9Woa^3y?8%C$X3MMyKd?XR(t&W-9CwVMRyTjoZ>9Wx`AX30#0eeZ^(d=mGi^CFUZhNXT4$+@}qphNSjIxXAjjd!qoU1~OxIQT5 zH1m@CPfozT@koxN$Fw!E=)l@mC}r$WQ?r72QsNIR9pvNpI#)vX$-Pk0(340UdX%5GtU%gg58cJfAG4s59 zTnRhS7Auj==(;T7}L`rOza0={}i~o73eeb<@WIl8IP-Fij@Hz5F zIq$dZ*u?$eADwCRW+zc!x>c&2Lu+j>)!uG^9N@8AN)-&kO0b?xqx3d|2vvQ-IYL@UD%6|ug|;UDqL98_wtQ(1AFfWCet!=`26WS|2y>Y9 za`qFtaF9mNg76NzH)5gt=n*}WX79i1LS?%1r3v{8zw<>~8GO`+lD&f6`_EqhYm({O z+80oq!Q~IS9hfAi78Y`Y4v#Aeem#R?(a$eD;vET5*yY4R@#g=2neTjEZdP5<<(It?$0;gUSGhEUeR$J2yqV(L@bn?qJ2 zA*@q$WxV(>mi<`iw-b?xkhsKh)eKDzlm`~LJN`;OfuzA+^&-RHv-n57W`*+4lg-k zdpvNpoVlz%cAhRRFYD#o!{7M?ZwY?0%b<&Yh3920G~s^#?CEBE#bJ!|bW|1MPM=FD zPs%O>t=o#l-aqCDT3Yv9cMyrYAwn?D8@KIJ2YWLmGm{Nds+L?l;R1(OP2H?|Iux)l z^Ki#R$|CM<)CY|Ev}xwwXLexqNVlQGkpf2t_Z=FEi>z$iw9~r!LefsgLA$rFX*mF@ zpTQqd8r5`r!HG(pn^w3TU-mWA?~ClJmWigXiay=#mA=?W;`xoMqNZBZ9lFVX*c1i= zFLF|1OLw2w;oA7<3$}3DpT47-?azu$%YqlKduFZUhO{yy%^jaOkQFgTy-N3~=a8l? z)iaKgkl?yCvP?z#+GiVvC)|%p1&ue?jP9FXo@iD#eCm^?=&(*|cyFdk#B`}BHAVco zt2${hnV=~oI&#>U<8FiES^W{8dCm5bSATGEjVEwB$i+iJ@TRSeEqP{^(K1gSB9^7j zKYauumzcoN@{%-aR`U;D05lW|o*h&V&(O>e22R|7$r6CYU2yf<4bxtvnG2hYac;&M z@@UiToVG1Io87=8hh%vye${pepae#@!|N0`B^!XWpB}a$%=rJ^Am6G87(`BD+5$JY z{TM%Px90%fm?$LN6~bdqF5HjZ2)$@1o%@e9#JY9*_BTkvAVmk$rN9;=DBaA=`NQMc zk(b1D1->VscLAigp}E*n@Dv0C7bJ_Hd(0 zaxARVOR%51`~Z8xY>UFIR*!76<2K&Ixa^0)x5>Q8K>=R;my=|O5aBZXqyGpAj6l6`I+k#q_&Zh}q71Mz`VPR<$%D#9R*Riyl)LdP&`X}yAeK8UnxrC`>yt_FyOr@xApUy?u zuL~7bjb=?;;m{hR+^nW^nD%@1Dc|udF)oGXXXN*i!klxfr8T_pSB9v#0`n^Yt$B-o9<(LOB;kl;8$+Rjvsr zA&gwHcf+a-7qj3e4ym4X-bV>#1YssK)Dt7v(+Rluzxtm485k~hFgTyzVx9;?BEWQJ z^=hPSLKpS>U8({s`UNiLq9vbW`I3|m+D`9@9^7omu^`#b2M+KA{$8J%kdPqo!v?`% zyxWdm34S8%?UB1?#gwjGQd0;FT=2qYw*JD#3nh=~Op~cB?;^@}+l%$~gB~5h%=mcF zhRE)}t&&Nvc{S2}2YM)-i1kK`KG-$3>MySuAAa=@$&XZ<{>FFAsIMBpg)5x9pr>7x zEo_e28huzdZ0l-|sg1@93AV;}nIuiqlP+!JNZg5YpPZ8N)tB>GV37Y)Y_qo#8z=m( z8ibt*_#{No-#q`1W%0>N@VvQJ=5VwgRz5_S)$0=TLHWEbZ_^U5XZx!~(Yk^vfejc& zwoNiJIwmHo!4SaG9h+d|WpHlEboOVgiF$tJQP-ezE?qM4}d583Is*t^@M#cLidp2%eIraPCR$xmFqrZf}(YoT%`&a zD?+yw?HZ4HmEElM`yTaU#>pexv`-6TS#nP9E%&oZ1V;)#i?vQSr_!on4@*iX>gMZ* zSj>R%;_ki;)k5vjBC`P5_pNoyzE3NeqboqPV#eTZ*zDI?N;iHzy~zzUkmTB!v5u1< z#fw9!onEy06fjl3{CNwk)^l_B zZ!02@2uuiwwf5aA;^JOXqI7CzfE{UOt=@4_L-PUkYh+?QX#8}Cc?8dm^y?cB$C058@?pAKr?n@DXMPcp$ z-2fC&O6xx?Il*E8bh1{tOQj%yE25y`&c%+fczve0ANnG-d&W&^v{2*AZ_3uO zUwYHhlHS-JzUmn67a?oGCZZZJV&4tcGs0>6=w;hipEb8RR zla1$c2lF^7;G^arYZ53FaPOIB=?@$WM(=vRDYx>Jvci17zb$dH+#(cE`Nnp{dDD|0 zmjx;oe^Nv_OV|K2qqiSFX4niExA7^t;|x>|6E&{jRGp4|>uoet{DcM60laiu!7)NC z;Zz-4iMJLyr=7_sp!*Ha^ZRw2lHAP{%!R#|Wyh7rxUIfoM9=rJHaGuxN;IB{g_WZh zt6*!*zkh4hbLT5j-0*=8*r5&kml2Ki*RJ9j&V@gmf2Uika&49{2f3SBZ|3oGkJ&2* z7kb!v;eUh$l`fSJyXhB)!*s)T3!}eluyM>c_sIxZ%4JU1{C?sDLn*o)H55_>B;I9> z$3K4I>R#dNypE<9eI`mluIT1*spi2N1>Lx)l_NeC2~y&WV+CnD9wsYsGVG&^URX`+ zXp2yj0aQc{O}CBwrO&wRsZA@$-*EoOfSXfKnp?O8l{Njx!+N(>3G|qJYu26aQXFO1 z;~lLI1lNz6Qw(ck*&joV9oxPqRbS9I>4#PHqEug7+s#HU{hINcZc8zZc-FUtWrQ>sXMl*k3!1qb2`@>~q6YzWB7tP0{cU zmV3uBCRj6`e`>bHc8;4wi6QPMyY?K~k7p1YH)hP?Hu|T4)lnN+1=}PK!xLy=Ugxi8 zFaJ}$4Cbs3Ne9nD%nU2f;i!odPXMWNvIcpu5w;WRK`qEm`G;Syg8-9hwF(LWNLC-V z7L>!EsnejWiCg!yY@I3!2)y1gr~tZ#pN9FU@Hiedh^7MfczrO|Fkp0Jtiy=@4(X#-I$XQ0#M+}IHkL*{aXK8K7>&*5y*syF z{TP=x9Ev7nF4kG3VmzWJxzA|8 zir-e_+At~V`a;1W*i=P8XVV%@sI@QBUP_#YOkDBw=TpBUIoj_{hp88Q4CDwD=hM5y zZ+dj(<2UzOFSU`7TIF?Dv;3Tq>Vk@h(t!kqbDw|OWb=j{@4e*Zr(%Mc*QLEEr`FBi zAG{f2Y{XP-iI8UksSP}DV?S8bR9sm26>}Tkdo^CA{pnj?C~&U5p*V{ z0_3xsLJx*-@|{{fU?pLYWNwy|E5tCj`z<`>ycNh-y>E;|CDB`4-g6B+Uc> zCQ&*^ZwS)RxMa4CMNc9i!{U&ag0vr1KJANaE6-_KmtpMg#TROOf|>@jpe9ohXx(&y z>Rsa(GgCh?X4~w(Ii&aVw;YEj-x+`84ut>uQ}Z6dV2BGtpe!6T;m3ks&umVA{Q9dD zMwlSXIO=%JE*+LtmiBMf+bKC%}~HF`-Euo`VFws1_`5a%Y4 z1%vnxGIF&)#=8NL(;IRz?1F-Ha87#W<#yKOvvQIECX=f5BSA$!g6v7XL)zG#9D19o zP4+IQzj(A}_L1e*Z$#iOtI@1mI9vLreL<#Q#RkTnKm}C--+gd9&)ySs-n|ODbYcmi z+!_z1EXF5bkLVJ@1bX5I7E^#FGre_`A5iXwJtK}TQ{=mUUB_qK2l)*gRNPM}ED#kM ze@$WoLV**&MJ3z+}ueq;rfng2b|*V~f?e zOpJ#$yF=2J{5k`lV4dX0Y9A8~0%^UnIt@rSgmF$GZ>?y{HlIGOWYZB1fc?BJjbL;4ANL3t3LaYm!fZ zaj$GiC?@PT2w}sy#d-{}of6$_-x`DXmO^VrqWnnc2XOzL@C_mE+1h3UCidf=CkNTC zR<6-4EgBft&8r#nQb8H$3!E6X5(Z@n+MR^#O~TiWuY+^_9M4of%^H0gSQjvVOpOES zfUwIFeoZ454P0X^{C%v&lLjSY>Kz*&`pz6mK81!Qg@yYSiV8~W-`0S+1AzC`NpM3x zF2wN--FuBN-%Es=9XNp5BT@0@0*u)60nu2U`&GCuHjDHo9NVu3nK@*R?YJv=>AaU*@X7Rk4b6%A&BODYCse2ZaW>{!??7lMeL7$tyonj44l z0T505aLw)Aq11Kumv%bsvUl{vSpyTCXc4dQZe=E6IkSGc>QpL!y+J+1 zoLHnH$9cszkh-~AMGUO@e|+;Sp`(uK)I(a93I3lc*Iq}Qcq1TOTf5c0Lo{0alze7E zjQd8Kl=u3QD>JXFoV>d~nh$UNhs8Y`7==KudSI07huwcpX&VU~n2>xnPmB8A8r^0; zE$E#+rr7Ed{-e(QYAs{*Zq?hko+FF*!+!+LJCJs5_JVaO&{x9~0bv!>DPnn)o^{G} zD5#`K42*jUlA@6Krb2R#DWxreb400*D`r0d@!^*AgaEKG0C%rrxjbHX&ko@E#}Zc& zOt|r9t9(p$-8OLPC|4HuUObk&g8`8U}|{9Ve~i{ebpzI_=Tt}%#L2a zqBrv_Y?(GU%#Q318TRrJIQ^4NRpM}Psv_FVZUA|6hAVy~UQnEyU9v9x#Yzs=w=FG~ zz?f)g(1U6GDg?w!TuZR^ne$hNFD?txv_b1~V2KIiDS91sios@_vsmMZQH*-v#IkdQ zz;Rx;0D-N-|E%>lr5l5Z^PH6XVL10iYluy7=r zgfly$_ljYOW@Ku53633Lpx*&{J?vE;VmXF1l4Wh%7=h#v z4!p0bV*ISwk?8hHl9`Ugg&JY`HGYZ5dmkF=6()X8f~8{@VR?Lddy11HgG@O>t0)f| zQZYOFkdJWd-u!&C@FM_m4T!ki0L!ob3V0!{*ztGTIMCH^y@ixbIWO^pRUSGEdK@JX z`9Vvn=6;=O@?Ic8*TWx=M1GaDooY}XYS&mG-8PZv603&BNkgoU*Zia4Eb(3)0~?(G zV5x+=*aZ_1Pu;(~Z0j*?u}^IJdU~j~7`tNq_I~QpRe)UrrVj1%f5ei05cnu33heCA zMVwWy-rcP&7vVbaA8d|&B)%n``OEWnjU>*Ltf0J(QTBEhW>b%7`sI0lrE8{R_?|n2 zsim|&?B`p{*51`hT#}60dV4vEQ&%Q-N#u-C*S1Hw?>TIA%HVywXy5wbkJ0N7-;^t{ zHCueGmzyo;%#P(~;wB=C_VCrnNSYL!NN!)N&1Go8SvtfRyTjP`oAbgIZ%Cl1hx5%N zk4Um@-Ew_VmXr#j-Oi)^K7uj;fhssRgvW~6gRsZ(ba8h&WuBk)#ga%K(=ugC^AMrmtQ zRolyH0p{#~eyy4vzHg>m+u8_iA4&x7ej8KM#Z{eoOH;5F1s9+D+rGZl?zy}i$MenU zKH@3WiBj`mjykkN70ER+rHE%!^Myi% zwiu)vOJv^+8lcAWPTYQ(u!k$^gu5+tQdw8hBB+_v{JVLS&9OGG?j26onDduAE_L82 zZ>`ki^_eX3Y8b7cH38(6yL$m(C;@>+lY zw>)Ls-@c9G#FrJf{KRA1Dew55XLH%ZPr_UkU^qbuaxAa6YJNzP`CYO3W$(EVPQk`Z z-5oJay3j=>Y(Gxte|6TP$R%FbefrbdZ@KJutM)YAROAGKAb#&%9o`+S^_PH4PGoG+ z`Lk{syq?S{i1e1D*|;mv(g)cDbNGw%M9}+9zp)Lw%Ix{pejmYajmHP|zZAe3n(&pe zd8+Yv`NVq{s0#-EBdak>IEbhmh)P<(IU}Y-L>UFr{K27}z~%v4Y=sF%($}&dxzF$c z$-ZW@$z3bAiE53F$?O{_Uk*)b#Rhqb5fh((c|EWrA2_!OO$6^hmy8RuhxfibfYd+C z7M7O$XwZROl06&n7;;5|M-sgPD)2Dh!+XpmVvWXpx&@lQp$T{z4KZlpEu?Y|oRydhow$P7AK z?DAH>lB&PASL_bm7xNS>242Ujozf2;e>wU3=)(q1G^cv`qOtbWY+W;k#+~W#8KL%K z&`zSx(qw6pnbcRhHqZ{z>2xx(0iVDQ6U{7Ew3_(VNeA%${i1)+UDos)9*XQ~C(`_l z_P-_;gYveG=PcEEV9#(BL6M4Sj}`0IM*`|1^c#38I`HONKQ?>lAF$>Si?^IK+lP&Nr&I1sZV( z<5j5rQy0PeRIHlX2S2BBKv;iCs+YSOtJ)&6ts$9T(5Fa*-Ig{ioX4(&e0~rXqIG+- zC%jWMe@_x|1%$;mv6%y~?0mhnUGY!KCD;CSCEqswI`hPd{}7gRI5mI(F#AByya(DX z5GFFSHy>s9ICBO|O*93_3zx9G_3A|Gx{wcLAnQqR=v4zYMNzRDZPLto;P!?0kACr^ z^F}RwZl!COc$O{#wn*-!^KWVL4+Q7qF0ML7^}3*OSX&~QvWZLkQ#)nTajK~yb<9om zpa|{xn^C$%`gi?~_quYI6(Q2qy$qaXv*d12lNWrSzR#BkKR7wWqmp>&5H9HU zB$GMbpxc~kV=vt*`pc#!$ZqNdT;^sxVsPT|Z?Hb^85Z~@1NJ6x`G<*%r2>EVJn*0M zk+Lk>YkHC8(W1_YU+uBX-Uw~;i&*kaERT5j&Z@Tz<@vwb9Z>fKgE{Hvk)0wP6Yz2z zqCf&=z|zYOAl=-jCGcYq7l1>dZ};jXC|jz@4wiJGZAdZWO&+_n#ZvGpsjZ0VnJHeiOP&q9?`c zgl{M8TK82x$$G?s!x!;t`W3}d>LcA1uF5mlOAQz$bsk!xp)0%2Y^-<`#PlVNb6W`{ zM!13hTe$;7{Xd?*103u9fB%tENh(D|lpaJ2$w)?|JW57JRFsT{Eqg?RknmV3*%CrV zNo6!-m0dzbMn*;m+5h|9`TqXb)pf3OI_KzlKA-n^z3$gNbmFviQ{wo(|7J+FVf|CJ zmCZuiRk<_3XI#h6uB4~Yd9v2NfoiYnR5`yiU!y7I-mP-YpMf-SmGrFS%;VQ?tfz^w zoe;M@qrpQzU}DbhFUw_JYelsa_++7dP$*c8CLwpRJjY?TX+_Zij+o^|>Z(_*D_Nv` zpGDy-U@}HJW&mT52IFGDC&R}=p0jQ!qpLh8hZ5ub!R;H~;Ibe|;S^==pWinUo=i*E zsEaMU6ii-UTSf*Bpl>8svM#j`+sVjvxp)YnYs`r94K8oo!ybaYiJ_cBvA&_IjY8}b}EZ_ChOj5 ztC+8FPJ&fDs<$P$t)r^3(}N+#Um-IbSS)wPM|UCl>2VF!(C6`_@JN45rEAg8cE+sF zO^^K$+fWfA-n}QDvrgdkkG%T!2v{dcktcX=dDm-z z3ja$vKB23<`4SX#Cf{GVauUKgCc?!m7z~Cn2Iw3cnrgpD2{);k5{0;7`#EC3w!bg# zeH9O0{ZhQj$w?>hSmVJZ`u5z}$w}mz8eIYI1Q3|&c6GJmnm*wf>`7x&qYG=NlsPi| z*>WejK`q_t&%jRlfk8}(((3-AJHs!SXg_xMKcuuib~oeK2@YP`9a|5UXUIkdkl+g> z^zDzn(d07<%c=2HEci6k`wiqYf7*^d7h4-^b#zJKfLQvg=bPg`)7-ZY1?kMvI(69W2HOFn zVor`00|z9?lZSEK!M7I&0&Y8`dP4w7zHvlGWMGBFS#LrHO;Gj&tx)UCnM`@Y{zJ?b zF8;eR4(2shwJG-IP@5C2GQmb*e$BK0$_kWL#5D&;=&T&;yu~qV3(5PKx3iG2zM*l& zDex%H!U9^RUDkDs3TKqy#jS4e#hW~d74?L-TNlR=+92JM!e@y?dKf<{-w( zBH7Cm&Q?~tC>@AI-*td@4d$Blogw){h`M>px3HFs z;Cz#dR&k+1{rh^2SA2l&T7~IKjhW2j`_7gsdi{5A(C0cXvvHzOTJ{3XQz2n={wK*Y^A=M(?c~1M-*!86=DQ5HhTwB?X>NJN`&?k3qagI==@1_cWSJ@^r?&GRO< z9DlxOA1BS4{u;JKhZ6*b?A$J=B~bq!f+iMJCf>`#xqI%~vTt3m73VlVH~*3nrCSP2F6 zc`&&|nuC}jkzmB`0HYP{-S$t>I-hB}F$|1s+CwL>QnYkGH#H$`*#vWOi<^&4&auYN z_Invm|DVDY(&a-FSK|>F0CV^yb?TygvQ9fkCTIM%kpd4MT_odrV((h0C`omK#@@zE zS?-`h$h75!3yL6Xz+D|xA!65lwgOn?aR1H7J*q+>212Q|AE?8>W*);W#QC5u+wro#aQA# z&6&n|OXkORg^YyioWCG%6%(`OV%hm&E_OBQ6PLz!Lk7ayhRiY=)G5k^Tk>gNIv1+# zLT=G7?VMZ}bQr(bWz?=^K6#>P=4*Gx)ksx4lA0V#=_&(DRoQY6j|D+lf#5Q#Pd%Ya#XCjwp((O0ZAD^{db)>dyy~h=wAEa< zb`Kd-HC11zzT|5ARAOG|0!%xCrNu8lw?E>{%&Q$4pO~SSdF+83DOBL`8=+nP+Lg+= z0SCL?KCSbYrn%W=t@ppdpZ#c|bIxwC;mxCL-t7_Rs29B(d!peH%G{R9ug1G=cw1hv zYRu?!VxxT|W_=Cc6d-EamVv!*RP$-G$vO;b`*^H;8hk|}yc&*IdRlmK>^1pdp7&7P z6mbM^emvRa0MBE*pX=}*PQ*+NEtGD{F)ABz>LWcXOghl>zZcvU2QQSHxR?e(Vuz*0 zuyaZ#m^Q-P26&M-u;>rQMQb8pNWYuCE|V350-KT*I|)JMqf0Ns^I#P8=W-j6;2@=Q zTObgJam)=jX7KdG?`0+?D$Unkw6Q^gfN%3J-5axK>+9-5!eXk;^9V5vG^sUhu{w>u zZ+|efm(F;|Py9|PfvZMvx_8w=TWjkRh@^->oH$$+Tn4ott+LLi9~UI{$LDMkwcU-g zZe%e;{uLrEsZ<|o;UVoqhO9$QFLSx=J;bjD=!vz~a0>3ubeI{? zX^2$SK5AH%ygyJ)z`#tiL_xeGhRPEm2lMrHQVo(+|6DZKgZ2%@6@^KOw}vVdUD=dk zj<9K>ip9j%ZjNqw{vkU>S57NEP1Vr;tGL928ym`ZD)+m_QZ&b3i`>jrceS=%cr->7 z#2Ko&IrI2fO%B?wDvmJ#P0|(97cpdgAIujFiZB`WVnTtfj{X;vAW#hsT3KcCXS>8) z7!TLe08vs2R{=q^F${Y%(5w(zea2V8Xo(8Z7XY017H@5sj~M zas#!4^bgm+7ni`i^9?NjJ~@KtupXrIr4$l|mPs5U(c;0_Fm<`uN!)&^jnQGYAo&B9 zMW5iB!8zuPKbs``MeNX@)O=Sd$-QY4%zS_FRy$y518}8_%sqkCgH^WgEdNo3&!CtS z9r<`~tzUUp{q5K2hJe2eT%8;K_A;WV36}aRQ5|D8CxA2Hi9_%4(;y=D?p*WxEe(0Uvm{NW{g2XEUY6E&!6K#BpZmUu}`q(-{desfK<4ll(2DZ}*cXr4V3vvPuP zF$f0l_2+n2?C?etUIVX$dx*+yDDF85h0_b3XI<4X>}b6*VunKwk~1xtbyYL_yFGH}&|$_C{# zq-g!4qHyv}M>pQ2T$qblD#(q1z)62&k=c+;EQ_IQfHG*)nt&O_^XJdURq@Lay3jxK zVv#~N)Ln0&gC0c!MDJ4x#&67D;HS#iw_6)`w7vXViZ}7Y#UbVFzH^U=NY$yB^P(=e zmc)or*4M%lc^+sE(F6$M@NQIAIe;ojS>2{1@!t*AwR5ZMD_N0gZsmcW3>tj$N^)e8Ped#-&)ef1x zzsuvNqbqhhCV5M5gaXC~x)D3KZ`b6~(Q#(b^b9dQ|C2KzyEN*U;65%bd%25wxRr1* z;LTy~34XgDPNQV@*`9@?W8$Hz+Z|(z?fD~&bQ(fAw@hycEDJfFN_GSxpu=4N3U&O# zYzn#yWem=VqZAy%A?;>FQ=r^1_JvzibORAv5hP`D`z50N!A<5|n$Qg_OWDD}A^4X^ zvE(BUPnbr4R?k3z7`_z6k^9=-UgkmPcqw*!g_kd05cn*}B#`9&!fJqEY-G-cS+v~G z>fZ4m5LPzr6mrcfNczPdUG%Zw`}-O*v}+h9J^y*{a?`|UguW32g^cro+wLRsXozt; zG7G*d9XWDjjpN=r^}qc)JnRN-il-l*+br=rVF}-(O(KuKl1BnZm}Q%1t|L%lGb-+P zm{2@%pR%TSw+%7X$+d&q5A;Y0PC5TFn;SPoc1$gx;q8~@WI<^2bMQ2CSbLW=s3aUY zb7nJ89M_unCZ(l?|73!FTPmq(iJ?{77S1y-U4p3_DbTQNutBs=pT3O|Jt`_khl3NW zL4#gqX(8(qRoc(Sms&V5P&7MvLl~1)Sdv_3Ot&#@Tf&U2$r}s zTwUf)sBM(jBn}YoOUU`_uQ#>5bk1geIdb{-jfKAzR&YQ7&oskG0b}^*I9@*ef=}T& z(2p-zTMz4BjXuV-r(`ZSL0t5Af-*Q#kf>^h#qFsWx!*fx_+=xEs{%1@hMPE43rZ1HIMphcqmyF;MgUYFIF^ux-ZsT+YBNb^!jWdtRNw7 zV|U=yKI!tDHOA|=Ox-jLWw#O9%g24VJ&!K??+&9XASXeN@kLxDrZv!2;jgIB(@$@S zpRLXX@eWJ3>7(4r+h9}fTsw2@F%W#Mm0D?smIPL9E7A?RB;e%}FYc$|m>fW(8|C+a zqzv66EY5VTg6ENyYIZ-b#d4r>bz5lk@yEA>@}9dWzgs{+L8hMcgPItPibDCyO*K23 z&9XKY{BWWthYg5&njK<0mA|54fBBvj`2ptQTqz&;#gIdXd*;)|ty$HU!k)S+7X@yY znPBbT>ry_&rn_qFKqz%%@13CrUM}PcPUxDaj+SFh0Z!^c)gP))?>3>lM0?K8Ph6PAL2?5u7z~bzJ!eTm0sGQy@=qv9Q(KKO@Q1u6t9a%Tv33Ol zw(P$90p8O{qw4KpYUsbx2@{Ai4DNg%tILHx1*(V{pj@w;8zG=F4lJ)w7lkMIDfE3y zDd?>C*|4&d&kzrhm&WsxW76EBzt2G^g(GP>E>6myxdRg_O}%dvpJ7iCM@EuweqjDj zBhe4q9Ta{8S{ab_Cg(~YevUw-lXrVA#<~x`2KOLrTyEa6?AHYAqY(^L5)c1boEk2k zwMKo%h7{wCdmc@bO8UPeD89C|;Z*yI){TTuHhCBe8MYsg!7%|_TcB0WJ;ZH_PGn&n zO-28oG)wyur-(Uadj=1Hxhtv)a=XsvOZzHqRZ-QNDD$MczD?IeV^x`u5)o|5W#s^C zTS(_4Vxq>C$F419Emuk5%ygvlghwn=b{$lvA8s9h4H%sue)#b`*t63@xV z$1f^+K0L2V*#f|$A>{f$_S>YS-D(q1i|-5oGfFM=$jyiY<;iZhdzpd*KVAAX z7?$swo0w>Hun#t9_Jyc~bxt}$AJi+rei~wWV(0D-Y^)SJ#xlS#>9F~ z8cfWf)z))8O0Kq@9B+ZZxURI>j5w}Z1N-9oEYpp-#PZ1ARQ35%3k*UZig!CPNq+S00@bgRN!_dg-ANa>Q zv!}w1JAlf?xtkXv0%%46I^w>|c?7A2i)?x_8Bl>#Gf-`I91fxS$9NDd`vNZ9k&mucR<0wA0E*!7|6ug9pRGzt;cK9!4lJ+ z@fNyIkK*F^XR5GLh0~ec8%f{~jP`@>UHo`&-#}i~1mKX2Yh8Y;xqT6-xCKG9`2G1T zZ&mzASV>>)&zYNSvl-cET#b}bSQ!(`i+`lGZw?1{d^@_QD7lcvt(Mzw=`*lvdhJ%e zG<=!g|2#-`FWb|5d46WXQ*RxJR*c$#K!dklZ+@*3$U!)~NdA<@3~aPwTksZ)!)sz> z=BFp<6oDKEqKw{$QjdiEn-UAd zTb*eOE)$AQ*eg)NH;4SAJMoLK`NIcyd+yEd6=u~Sa9|9&=~TRq3PWn9yUx6-67Eif zP(kOreMvQ-fosQqUK;g#2kS*&c>LX{tA1kp)1;nW?nU#q8>C)F0+7|wWuYG$I>jD- zqW=mB4?C2&P<>tJiP+Tuu2U@UFqyj4exa616DWVz9HUSpV-+m!9qaV|%^M{wexm(& z;snA0wAJuIY4Xm`i;Rj&f^GnTnD7@=0%aH2kMA13JLt;^h)Ww*vRzC{l^KzYde52Vkz-(=0S0s0oPokVv^dwT7_v(LJeecgqlu36v4Vejc07+pSBY3nClYVh4Cm02EtL5hgqcH}$ou?frdOKh^GOxj6=1sf@nEW)C9rFHy7u@PkaMujV19*4%>)^k7l87k0KmcdkS!6E zC+RjQU`X2oLTFV?fV!8SswG?i52a}vlXN@H?oWWn>RVgWr*BVve)x)^TID-#m^G>` z@yoN-r)MJLGKrfNxIc;oW`5C{`KK)M3<%@!Qrs?%Rqzq>1@AuNeuNKQt1xSP{^Ps; z5x2o!!qnH*@)`Cvr4M4Qk|~$@$9p$H-9N<70Lg(?+=Nr!&hquFe(KfaMCIHflRGbf@HA0P!+_m{9E#mHlXgeQJRL-R1nt2Ifjzw`W2TN2t%KE03tGXFpBZ;PaMS zi%mk@_*f+KPZ!#;{-HZxon0T(Iw}Xn(_Ybac?BxpnZcoxCGJL8jK#1}Z%|vPXqQW2 z@nEo?76t-KdTB~-*G+g-RK|D)Op&qClyN>FI~s>GTy0ju4RuF# zTI^%ub9_DdEm-P0Oe?lVXu4$_66MtSW!aLu42a2q8(jF85_-6zvp_b9Sj71Yi{2#^ za*0&Bd)<}TQ%fH^U!ll?B`@j|7AqL#XOQ?u>15Q)qZF%8T+y% zdamrZL*+ww@*-;=bn$I>YddVD-?NxqJQ@0H_o-(ryQ7ZgJuuR(`~2A##mbTM8=VVJ z&+}I&JNAK*a^l8A2F566XfUA5bUV|#H*T5*!dxcG-_DICx5yB>DC;Ut2FIW|B$4|; zsh%;Fo{<3z*U>jg{v{{IVqQ>R!f~bx3umhlqSMCZl6lEI19Az8=)mhLR#ro6gQ~oJ z*6jI5nq5_N?^eY`?R727vay$OWpsSH&Ph;T^Et7o2-}$P~LG91v{w(Ev zVPz&-mqco|<&~I*?AKML)<55zxmU*@#9IKTDtALygnd>>(_0ch76(IKx3SvM6T(6? znP`2%+Lbi%O3!`K$K+N>@9vTh3E}rS?8pNE5$>?}qT3-24!)OVMo@g}D`N+-f1M*yIA^RIuli@{V6I8(KCZR)o#1bvX< zN|-9>#IbK(=pI>40RMeN%D zbm70_%hUZ9X5!XNR|wuIl&bJ#I$jG$(a+7zN%$g)1!@3rCR&g+ws9NgfB(|yh--jE zH5oU9hTaL725QA}{gN47kLhaT_qg z1>bjJTr3~PMUc-Nx<{~**K<)k_^3krn2T-k3b?yFu4t=HIoY*9_fA?8)Vrd5>nBTU zyK1MMTyS}kj!4W^&^^$?=ziNlBAXjy375tBsoB%|M$V1>`Bi_AL%0!c6{`U;qf}<>E1o2W5gPM=@Ess| z;G-SjEeB0n=Ot!X@=2Z)Z-77DA0zjlSjJEgT;7G4ow(K!58`fsf!G+E4{S+4Jnw&a zA3is~@$x8rg8LRm78lmwt^9=<4vvv3{o-qci=8IR2gfy!{-eg)15KxqlS4=?B$^Q} zw|`vXf1i7Y8zp?R2bjXJ!T4j)-+S43*05x#I!%Wec;8R&Ro5Z+>u76VkTmibEql#U z@9h(~=|4n8XQ5kpw|(Geb`+uju^^nlehKmn=8!_C0L~NonVmPabvH2IM9`vcmN&4| zk)vZPr8D1btv}RoC|ierTFL%K_jR4iG;Ut@gQfjj>^&zVK8*5rzY3Aq=1M=Fs(Whi zeigrgy4JHj8Dio#B4A&kk~o?KE7Ou`FtiXTqh-q;};4i%q?BYd4I;UJKf?1B;$EokIn&Se3+yC?%Gy!pobG;UhgT3oPU@4C( z{*#i|-~>=$0sqHSW67VO{v$|&2M_dbjdO8h_GMd4+`e=7%e7or)4~Dd2gDxCa^|6itiv z-mb4VlKsk~?!;xGRXHFXU{#WqNz!ogQ7c>q0(q}Dm`xlJsd{chZIjkB9DQ^x@m?S` zI`&V~sdco4J{!epPRwQ2SzY3St1RF z=H$x$h!kY45DOq6?AWk`GYsqq;61y6hz-l?v8vK(-w*a&l9rr!_nPRHojqMMt#K0r z)lBz6IS<|(IoA<8ap^v$Q0Z0^&5I}!jM$my5w`IjZ=Rj&Ji_Xw-Lpok?Qkp;qasR^ zBS&A24416aA0C2xri} zMOx80)Ybz(-oy7~pRTpf@Sq5r7CJ~Qx1wjwAWsu2-^kQdO98H-9UxAUaB?Vjj-27^ z8kLT9{mC`grLeF~ezv8Sbzrd&3J(i~Sp!N%#xc2eRP3c#M`=bIH*Dwt04Ec?ZQ%V> z@su2*2|AI0=~$Ab0j!uC+yud-KqH>ejFdNUEY_3(SB3@L0u6ayI zukt**toae_RUA=Ic^7j+dHBx>TKVZ*7GPURfM-p9gEG%h({L7(C{q@S%BIk!ty zi7x4B48t23bzF*u%^*CBNMiJ}D9}_Zwq!}cqJYzdIjDPy z#~dU77wDM0P@TQOM+Zw7)AxH-`8KacnY@7E#ip!7P~>PSIdSsq!X&2S3u=LeVYf^y zdxiNM;e;f^OiBPkXi%PsyDYovuL(DXD}GETg3O*80y_?8-hobe?Fu~Zw;=e#OC~va zDNs_-WdVGFix+VEoTluQ3Y+e$ge`?C;=YGg`g31vQ)Opwi?5Xn|wLdt1;KFzl+16l2$vcg#QS0xoxL`G* z3_16AWcUJ1Asj37yflvkpnzwm`@{3bIC@v%?2@_%^Whk2f=z=ObgofhemzW&7k=6-{JfUUFTECD z`RO9%H&DRy_$nA4_uA>mLHtNeM<@0pv}$pk^H;m&ln&xyi=oKxAR7-xo09p-X-+g? ze1`uj+)Y$gRhGV8JlY8`W5=Ng zzi+$4ZnF}KgosFVvc+&JN()Hp3}9yzSXtSH zM0PQZ*$Lb6+jdZu(+484Zbb46akjv-=${A(k}|voOlE5~(__U|+nO!&fdT?7KN*vJfDtKnneSn~>Abt9y5 zFo}_Al4cnBAHr|YBhR`4K=pZcq*W=7V2XWL%7&MSA#q@Agq9JG7NxMSAm`?f3ANI$KeR;U=ZT!n(e=v|LtS~eE4RX0;HNR&*2CDh_2{*L z@+gPe`H*MFYD)4I?fGC^g$Wq4vYHlv@}xXEDi}8KC1;PTeC42+3~L%s*NjIAR8Wnn z8YKFbnCOmA6R6_kPU8N7ZH`M3=t>tTw4{nb=7OQ2;RaU${~a`zfm%DvIZQGBgn@`& zQRL_D(*X}L%_aUG;KL^!Hi_Mkt&w|e@GR`~KffC3IdQ6f(|5joPmGF|QEZAPIEY|K zCFWC86Z&-%Vw+Tz)slZP?ETL-mrnq;B59GJC6PFja?bA_i5IbcP;mt&V< za-;=^+G~>F2ZZ;W_45M!}fQbg?PYp-YG(4H%;J27*U8Y=gu{k(s#Fba#{c zND(ouUh{mUc$PHKq)CA>!~ur*Q$>ZK7{^$#EPJiM38(#oQ)l$`Q#)mAq{y^!BKzv* z-~(f~e!hHi=;Fn+QBicmTfGVA(o``~Y0*rf{o@hIw#|LRHyOi;Ua5Us=q-K|Rb*Y} z@N&p88CLBSN%N*h%uuJ5O;o;@Rs?u8SPS>w-iq9YngSgay9J-dXR1FB_Fr$Ooh<9J zQ#nMNpi|Q>%qO+_dsgN+@K6U-KZtEi2QL7MY%tZ;9NAg@B9=kj3L}j5m@uZrcsHss z4KHW+Y6w`NxNUFhnMO;=B+~BSvF9ZYBoOz1q7sLY2uKPb=t~E* z?aI2WzA&vmeT{La_Oy$7=Bdmx&y99dY zSH8cc;6wtnj^zD-0rk9jfdrT>*aG28E8&A<9g2UCi45aqb(!BkSjd6%PX(yD{1A1* zasJmD{A~_mN8k!!r`Z;_ruzl&B5Kz6xZ!T0|Aq5?@2lZWqG!)u_&2T-?q=qXs#9=$ zm~w~8q5Qn9t&Ieg5}Q8^B4K((bRM6dV=4j$o^D|lj5k4SFT<5UkSAMdmb@00f7qoD zG+~b&A0OrnEQ8Sl&IkMzNhKT3fkGdFSRb{t+o`DH!%xvagi@nozjjRGI(S-X>zF2) zn0srSf5%MDnPQXTN`zb4YFLOg0w(Sq#=ZuPR~VWK9-Ij;AnsN8Zm=+57J?M5W%geZ?mWeE@sL86!+ zt6ajk83-V(-&XSPvN-gVD2qH4KZG?96XkhZRN*|`hlbp z%zm3f$ku37$z0i!8H`M~zGYlxLW40!S^%iAMQGr@m);a zb`XEGnB^ByOwjgS{m;(=f5mtTdq+g{fryB?LH&Smd1VQWO}n+XjpzF;fyL2n=|6x=QM;_=OIWa-c_IHs24RYcMap zQ3o~OzhMYUHOAKAiDu*4i`Y>AvxeY7wRumH>@Ld|@mHYu%v&E#L=Q%ct4N%@S7r&y zd$5wadE9a8LoIW0qJWS~EKcjQaQ+SX!M8ZdH(E5}ncW`u4K6^$_ZwR8)$)@$!98b! z*DQY7ot;9;3e0D25ywNK#~IbXI-yUb6f%9IQ|3wX#^6w;_bnUk*SNYVZu)~olk+Lu z<1uGQ18|g0d*7kzGsSfV^mTY>sQNKgBwpE4>cH|4_J?+lP&i=<$zO?r9Go0PaH3L! zNOA)gT`dJyyl%f;>oN%P(@&~q+y_SrUNPExwbDppOi+*rA4RS3PzJAZpA5&HBHX6S zf4ub+oPH;tW*DX>l-AvOnQk6)o)SPge|$sb7OpQf^C5+j+Cc)J&g+u2V_mw0 zL=VpJFxt*A-0`wRUuFFF%|`p5&o~i3_;zKqPb=T=mn|T}2k-G34J3x}xBYnCw)ege zXAExph9NBCytLcz&$!DK!VM3N>5SKzqXNXCw8(vmNUs@Ntwj-a$0=!fa?KdCx7|01 zvmHGDW}*!p3Qk38!ul?I9Af|6Py+)MObQ|(fT9GQ0aD%4kL`?(dKZFP=?=!Kz@kLN z%~AGOshPvMR@EH}%5-kSmb<}aBDb)C*BzmsO$-R&kYm&I_~>~~^p$+l&Cg2oz0{|s z?8-%FG?>00eahW?LWzDX|H?pb>}(j8L~!}1jmzlgv^@nd1M8;N3$}rzQYE5#G(Ki| zNB*ZK>w=79JGg9XMM7ir*}OiyT|$BU33WGdkphg54hfl2dOjnNIbacDSVSgTAjzV% z-KVDwY6%Lh9E$-PrJe)aAl4jZfCdvOTcv3D87TMxC!d@>SQ7hX`~`_JY-(<1ls*%( zq%ZEH4GbMoi2DBAs=E9B*{s?m>SOP@bH8;0f41r=eLps7u?V^rifv!m`=<^(&3{K; zR|5&Vl;(L)qODWoyf#6rP!3CT_X#ib#pFK*K9#_wN2eBpG79)z9u z1WRoIoC|!OXt1-h(NXJEBU+ac4LBAv3MQ31xYAKA;g@caD4YNGj0cVVOXF9oH|sy4 zS8buqJgM5ueq_dS2VI=nZd&m&HaziTFm+@3+tgWV_l5p#>%a(trOLib{PSOE;X`SN4Scn!S=E~c$UiOq%f@mXj}#QFcUC!MVNC(%@ne2fz(RbXSFdq*%S*c>C_%old*k^k*;TSZigm! z7K=W9FpH@fRQZXIeeelkBBbK#TFCzz`-(6M$ZQATJ@y+KF*Um*CdbWv*SS3<{yL&{ zo||nT3&Mb%a>Y1r<1WLdRQ@!nrxEgbA{)nwvW z@G!aA4*U{$qZt%gLlK63^8^!O-5Z$V?|Adon`{dxBi`Zn@yP5N)ujj(jhJlVvXwIR zB)z2Z;!Lv^tY#yj=jrTteZ9!qnY=N7q1Zls_P3yapRz7Yshz;Q2Q>WQ;^oB1b$ki- z+F44fu6%=uP$gwrs{Op95*KqUGGXwAQQCoD@%D!;v9AQc311DfL%Mo;CLr{QR1~2| zfGxJ>rR`7{!EOlIOTxlZLzi{LputhGS7m2w4!gA3z#!xhJ--qFYtWLQ9{dy-q^TOP)@6Sy3>woAi(&W>%;Dq zM`(34$LPn0Y5e}5_=^yPp{5qznhp;Y;BmNz1HM?|5X4zdrgE4|KsgoREU;tM*k8M= z)N^HaTn73~EEnJ@0E?u@MkD|ElA4tax)l;Dv8SH9k9H_B`XVL5p_RqqU~xNu(f>_* z;ejzy?+i|BteiVk?VlF#qKKvtLmagf^HRJU#@8e$tJZVafeg%wr;0`h+YEiv-(MvQ zmk+>KaNuRb+23V*ytK}r`Hpl0?=}~xI{pEUJv}`nG$-dmePYZnw09n(fyNRdX_$$v zBM3F;->X~fwm95bQB<_LPmoPjxX})3MTiO~-3( zZI+T0&2#}zN%l%AEk0*+QBbg}PVT0yv#Iw2-mykp)JcYx*t6omRN#2+;GXnks%zzZ zc;pdEK)1a#58&d%U^;)gq}v_QHsp&t%G3;(067K$LH|#fjf+S#eFw4Jk{OPQ4e1n5 zdqW?PAj@!z0*3F{@S>hGS3U;mU8N-xY{fk99G2U?UnW<@@cUTknx0;OCNm#B!HgJ4oxB@;S>*rR!I2X4NJk%I8)R7^xKo#jT3F_Y5)l^} z(0YCvx@1Bt01WtEDDNq1er745AN)IJX{+Ks+~d#L;D1Qxa~R8(DCXV6FR2cyE5x`1 z(s$7)1J}ROLTF2Zswt1mbYwzLE;$}%?4~3XeN1Fb&Ah(P;e~1zaA#D1K{IMh1rAru zCMd7Im<9naOJs zit+Jjrovy$gxazvFf1hwjpU#!%9p~-jhe^iDzD;ch%ZK|wtn~@2*B$$3z)va>EZ2K!6 z6RqfXIa>1(m)+^wm|ud_-{Tef>KsS(S3cLT$pckr;eM)%)OL&Yv{PRpMgdEKc>op; z#J|B6{!jQ6KWwFeyQ0mZK$`aq3I@_}q3NySfLo=+((naei6~u7zHVzA3>5e(KXxw3rNV5?c_UbYz($h&e{z$ z36rcG&W2G^63&s>Ma~Ka5nI&{l)5h(-d{C_x!$OY3xiC|=1=C9q-MQ*`8t+J;Yo;7 z)*Zk^1)CT(H|%tDWb|}Qa;|OGHO!})=Y8v`RZa-ucfo^7tbfG+Sk;yxwYt3Vngs?Y zAuqu8Fx^DsrLAD7Tl#)nPKl2rTjuw8Nbj1a*Xx(Oc!~=s9C1P z>?`++v?t&5zrjH}gkd+?d$eT_{sqEaZ|v78$7B_D9FIEY!HtNFB-0zzY2+A%gA3un zTaPiF)QGR-J}(nB#zP!E7BQZf`p6Tq{$sWg8qN~Rfw78hBqoM%oKdZ>p|v4_vvm3-0V$xt zk)+N8%IvAAO1=g67E@%{rD08>0vt$NPs?yQ@O|5wqjAw?orkLZ>Bpqqw`KMAw^3)7Apa1wmv2w-Yqcw~X~>fg6~WX0pS=|CJ*b9iPZ zj0aE_s}T5t@V#Iq^}8=AI6dZ0F?yYFfi4q8m<m1uT{nxv#mC{%TQrq0+HMJ-5YD$(m`crVh*g&n6$FRV+-O zha1{F$f?p9lHT9Y;gWFsdgCR>hn-)d7wYdQ%xAPJG(D?PO>;@p*}}R>EA5u|;e(=) zrz_=JOdVQ!r&&0&kR96=dSjG@rw^oSecR*o8mm zDK9!y@A=#&???3f_ug^gy?gf#I|+N~MZ6R)I#Xp~q1`e*cw2PJu{G}gg9n*&a~?r= z?(F~A0EY;GkmBOvoo{x|&OPIcrcQgvFS~xQ=jYF=ktx~g#U(!84Gj$v($bI6mODB- zmk&{;B_xtDnEd|TNQFQ2`DOd%vBR~;`KJc=ImbO6IngpaJbdS}n`io?U}>(47cahm z(_2iu$1Cx@dnZ60`TM-r118X2h9aCnhbO??uDh}Me4@NbItspKXqz64y#4W8?CI0g zR3Yo~CWLgg8^QzI;N{`uNdNTU-@N8$Q$nC>!l>#3R>~$WuKI1k2NEGhxd84$Rb^!; zl~}sC0m+^~K-G2y1!MS3e^!_JmW+B&qoIB+iH{fAwd>RDNJ%z``rjb3g`}e)OhaBK z`t5y*;rGM-2?4X0r>+i-DZEUsW!mJ_EX#f4d6Wn%E9?Gq$G30LM$c=xS;v_Bzc z^-D`z3+4SUEo&!l*h_gt6}KhSZ8j8;ysB}U*@97`t>cTlMQ5&(`(KaZ=XEstdUF9u zo7##B+iObPhGiyVAPJEl2)~(ukr8Jj?%9)VbKh%1^0Kdce#3PQfpgE!Z~4_y7*(t{ zDs*0XOwxK*#%_81FzBpOBBAg>~h2fE0SxBG!>QLKH%)m~aY7<*+8%Fz7 z65sM*)Ka>K^;q(G#+}u%m#?pV8TR1857Rhjd{w}^CosAPI}3lOi#g1zR|kat{t!+Wk)1oQI92B6J%vNzr~3K?v?DMS9{`kn$;QSxvZf{F&bDpaj(3lctDlPRMZ*7aV$FK$pA_Ju_sN?GEwI=@jdGz$D zE^b)6>?qHVUuA;?Cg(Q&ae}8jUrZ~7~=GgqQpqUkC)05_{=&+jQ*33_8z?RljMRN#siLs~{gBSvnW4{yM=Q3nP{4d0909Wn9W zJnmpwB9M`q+IwvEMeUaFwBeo`!!3I!5m-s}T`if<$;+!}Y}_tZ-I1G@hm7@9I8b0y zXQZW78oV%f7RY~Tw3>xw``*1L5;QAZi%;(Sxl=b^wtE@eR5>{Ik7!v~q=JIVy?Or? zRa_?bPCAd%Px+NSSFbF;?<9Cnwl4o%yzDFch7I+=q=JRGd~*GUyNeH`IVlO^tN9C z+>WkmuX5gpSS~+2>)6>9_R-M6FG<2G?qt&uit3%26_nrNOCE2~J#iultmg|rye#G{ zAmBO_xG(SI& zn=G<@#CZwN%PY0Md!Olt*Y=*+veve^rnc6Z7it_`FmUk{aG>G(y9}#BXptj9(M`ma z{HUNnA4?3qX<*w#t>lq{*MTp8yc`PbVJ%=&zW?sK{;+NJ?&-YwXJ7N`2Tu;|zB$>7 z({4NlR6P)O@t%&`K{MtHc=l6FG17utvzl@j+`qA2axB7}JI0ALA49t;f~L&JfXah!DT<&5#}9gM}Fr8Z9aztqq& z@s4o0-xHg;PjCHSkZCVSY-&DK1Qk;BQ&Z=C`3wQ8qX#`D|K_Z2XY}!Qb9evL*q8+O z42ymvQO+yoTahlMjQm<0LWsg~dK2g46@KCe>ypG)r4{8 zU5ox*>Hois_G1~D+^$DlVk!dcFQA^jC+F_;bsmW-g}J%8f1vs6Lx&$p#Zi<2Q*+!E z^kmEs=NG0*^e;A-u#_e08*y%Npt<%9r}VdbXcm(FMH_PFO6 zx5*!WrVzIJ$zYcIGyfN>^DOsd;^?p_fEq6z{^B@*ES&Ukf53Fj-ofDk(@&I(Sr0Yh zvSMR-EiB&P6tw97ii>*v@Rvm|)DAVn?w+2WADoa4V2)9Tt`Zdoye~Tt?~uQXAn=g#rQJD+M1TRqF2QL`%`$ z*fMj*bUajxm}hpLox?trkrM*n<6Nve?T=0kW|-zZqu;zQ?fHLC@vg{OmwZ z#OmvFEmv39Qa#F4pYIi7uFzZ)tcJ8oJIREn#+4@?9=N@Pi05 zcMCI9Q|TYaaAuO{g%v3DF8AdGo+#iync8#rYudO@;0Uid_6Xmo2rQBr0uh*>66lKc zk@ze_-+)Y2ILu)ni#LKrHjrDryAiys2hCEOf(8H@XyZqdk_r7>T59SMG|-NlItudh zrC%<8VLWv~V&KMYNzuIOr9(fy%l$T8lAPmq(!l9R`8)4b7Rx8rQRuigDGviA-Yy2J zaSgW|uqMOfE8OZX@%btWVf1PPLR%nRK0;f@PC)gPm*Za)Q3%)aAQuammcwe1Fi7 zAek2q=dNBYfvjn4Y-|Gy(*xgO3`k&)!hBN+vvUWfgTx(f_Z#D-CPv+`34uPnFhN zNtK}}y=AZn0ufNcq}M7CK(qlWwg_mDQNakx7>7EQ${?VaAVXUa2&0N9Gb)g@k6@5Hji;v}q4H{p4K~Yirc9p$3C?3JK8^f-?ep(xShhSL1 zH?j>Ncw1Xr3qDE8$!6a^*yHCl>hrdO-%!^wk~_zV;7uwuPF30{a^|-#!w$JtU4!yg zZ$Nv)jgKF< z;qfv%^whNc&Yi;gdN0Idiz9tMZVY)=g!~BLv!J%NdwM3qQH3H_+uzX8kjE}Q^Q{8@ z9G?8tdl98k*muJuMq*vee|lN?%&%eH=icJ}SCf+u4)~7foW1>|dT*z%rr(u6@eulZ zdw*fL>%znR>KYpDSlTGcfyumt*n}X5Kty%~$P1R8Z$Nr;G%5fK6n*CYK0ezJ=$9=y zEg1jZVr6!Awnf;>i|E!|2`>(4>p-(jOimVDySAN(a09G2lWX&qe|c9?mlI9rM$>+Y zPQ9EFaNxAztaE#qS4N`ACfaDcq^{(UgY;!q>8ahdHiKph7J}L6&d*Hd1))tqe?Pj zJDxo&nVg(7F)^S2Z^AFhZ@&5W%j4Zn22(=@bmy`O3I^H(8{jYH#4q#jicnp&>Tv4y zpw;uQ^7_ZC3_qAZRPe*UEF4+ID<~}-W!j!xxF&_2T6Y!ae|9ntS2urjx9y|r3vcTQ zSnR%V^vYDxVBsi2{lBNXycI1jrLYcMXJoV!Rm!T~bDz6Kv zG7k_!|J$Nn=s;nyZV)r1q@<)W+Gh%!UH`M0Zdg03Xv_kxB={ER48#LM6oeR){wua1 zy|rrvv{Cr&bwYjE8>9Kr;`CCOZk0p!csVsyPWWCImz3c8x5rSc902caRVZC_GIr~` zl- z9`27q+hG{d;oZF1TKV>NS8y9)si96m7r`LO%rPIzla0Zv47i?2j5L$eN3UMJnle`e zViTKk%=5N3lP3*}PA>iW{h5ulkar>GKSet&ydKwt&%)bB8dD3KdSHbCa0(r0sWin% zaF>}qgQ8NAG;#Cs??g%peoF86@tQcDGkX3QR)my4<#up)0hkAA=J#%HI`pUYC+f9% zP&1Q!TK2C|M@PpL8$s34!S?R%VGV?t;eq9g6oeoB1TerC%eAyG?|eGsZ!P} zDvZmMwQ)i8WGJ8}VEoG~FYloFL069;nYQ`F@m3kcRX9eMLd4SdSC$(`5B@T7DM1Y> zSy>?{(fg7fJ}u=~Rc4$R*A|JIZxcH14q_6YKkO#`(ZI-%~WC}1we)$F{ zqf)sx?5aI?g1ak9Pw(|HH#gUnbMp84Z_+r+euEz4uvs(NBpRLN^D#@HXrD+k?h@n3chyh((U3~z1nBWZr?A31+@87#e z{YJ3ut>T8xF_-yuC4axJKJ~sk=+dcdTv~ zv_}}#hh(+z3|0!Xuk}~dg-on?{wRG&X^Wh`bEk+VOV^_7RTh5COtV-xo8EKhQN;ZRTg*y>R$u@1;4drGTGD+Rn zKcz%Nd3lr!nXIYtz}si${gvvewis2O4;B-N389M6)xMi0BfT4tcZevyfXeLIE!cSvWc!G$33q3~bJt}q~u>hCX`N<~9&oeVK6`}kwZjitKZ?L>2 zARbb;@*okyW#7T&I>HG4(PlG|#@O+0NVi$Ch(jKfed|PadS-#z6G=1n?C}zwhZZl< zF0we)zP*vhz_IGz6b+p6G5>8e3iBYwFw-#~JHEV&l+;e?Wev->I{E%w6gtG;H0B13K zoK>f}dbJtk3BK?`N{MijPT_0f!Z^uvfQ=ftuD<@`8f13DLkI|!Nj@N>gsm$xt?0gR z;t)>VaBqV8AdLv=g@^EVzHE$(>_@E1BrXzh+GD7-&}22!{a1BC8)1m?zl-+Hx+@EO z;;3lKI$sH9R}d2?BCl~bY?G15n(^aCO{T!pbH>NR+9Z;p^s%9`mNai;|6iZH6tBLk zsw_AVM}>H)yb_%Uf|w>(Rnem~`NR`Wdtp+$AiKs!mzkd!?6S`zZ-0TvUM_9V*TH&l z!FsSir{>NvM(#*hPPCW|Nm2o3A6`%?EGY?AE*d#@Z+aZx?Y)U{*jDBYtX^?UG>a$iN8<3^rg!-Usu_nw1MOL05 zAzXkC3@dsRi@z&(0Q)0kyX~E@0d(@ zemHwMVj+@zjM$zd0UU&4`*Pn~Rz{I)ej-Co?q+z6sji$E`0l}H1$NrSs&gaiYeP1C zqe)$*XmIxc%;SWjD;`H;q0Kc7>NI$ZBGAR>qgfC18)DzQk!=pI^SthT%CNFexjDmf zH||aw9(T*w-5YHdpu|p(`Z!nP&I$=z3;m9mXT4!BTE;96_nd_7NAztYiga6idRl(s zvu$jr_3Z-Q1@!^zcDuNNQeH}*l6w>egQRQz&Gbsw~S0M5u^V=RSC@m93)l30ljB^m}wY20fUvf4uGfeyv077n^`13gZ*_t+aM`1a9Xh^m)Pxncu zn{ZxTw$U&&zmHGJ|pEJNQ8wn;woyeDs=Ar{XsBlfAY|q0o0mYL(^r( zq06V3kaFk}T_EM~QQUU#9xQ9IxiI@M@Gm$tCswonffBFJ#q2mbLo)k&IV&T-NtCKzQpi>|O-FAdQQs@+H_>d;z0;agF@|iyOgfp{*?{ zxpc<8wzjq(H9Kln%pb8yKBSj9ZKuuj1I$z2#8+izM#=Rk%g#1IoZO6}Vl&FlA@KV+ zgot+V>mk8phdj;SzN)&M#EIXo?HG&V;Y_sqJf3rnU6ps*P3{8H8(0g z$7ap%<=^f9*z8C_yS-eCe_BC_GSYHlu8d0y&3z;kZX}z>G`SEP&WllnG*5v5!Q2uy+uD-ek|jtc6YYU zVg5l70u8xur0b7YTACP5gxR6^NNM2JDIYIsHaaow*w)o$xip(5k6?mw_eIyYFPvJ) zF4dG~_E-YqSMa8Fu$-#%d7}0hdWbA#aWa!|^xKuiOdpX>&F(-qISA8uR8njnXHN@b z`FJ3`ftr0#1bRIk(+{6)6R2a%5T02r(sI_0GdvH?czQe{YmN;=vo>fQi9+9a7V7YK zY2`WKtJ-hX8b|GKmxU~3*9v~CtpA%{|9{~U<}@AGHao6tw%$&zh`!xWB<92?>L^<&#Q;$zOQRtYn|&n&vl1tX{cNzpd~<|P#15hD&9q* zu)m;C7%_Mk;3xHE$;R*>31=le=X>^6&TeLomZ&>s&JIuQouAs6Gr3wiI@#FUUFQ=N z;1lI#vUYZMaFXEXfA-(+;Insp%&%U=ssn!o-$7O1356mtL;i=6E1P43!a$*JDc;m^ zPhF|=NTQglI`iGHFD$wKwHtN4ou!!Tl|NG^Q@FpoqhbB6h&Qd5?hLYVSoJUVC()G9 z+}W9(O{KXbb!)IPBbO^PlehR)J8>})QHkcdr`zdS(&YBmeV6Y7SXe|GUIm}{7ysr} zOc+#WFBcqFnWSZM5zqvi{m&~qJyUj=-t>Qd5NwvTW{MI1A8!d>8v5ebDnQiy->;n~ zdSA`|^H+{;@R|z##~TDrX{o;a=NpoIE)wef=Nr@;f^m5NPZwg+j7jxBA0a?AP-ynQ zm+{{V^1rL`-%A1C{J*TmKy?3-^TCp)?~CG^{%fLR4p^xg3mt10ngwz&e*XMfITd`R z<#?_uQ6Xo*>~L$&yFBXNRCT9-x(pJ*1FUaf{Jpy9Eb-Z>X3xS6r$~=T_H;?}cqas6 zH%G*CZ>2H6Vj`@%TH^PrE4(7;#K|X5=0!J`a?;g)9hUPeGCzJ?vT!SGt35kf=DjP}Z4nbE;!~k>5Y=G zAEOBtFVU}c7d$(iJf~OAA{#RCmF^W^pj+I1@pQEO;`z}~!$!*`P1EmhrE~N0B!-Qo z`A!y9WSe?KCwV7)Pd3{Q#@Bs97|%9BXavmzlVq&AlO7q6n0Q{E@18z8URSwu=OTG1 z_WjR#FFD`3V-_}?Nyr?pT>rhgcj;GjIA1m1raPTgN!5d{I=IM#({*1Ht(LI183EeE z`$=XRHx3?lA&H>-YS-F$&GVicL+|qP2-a)2iMhGCb<)qLsT;n+N8>K;j;Hiy^>fh? zw{5QceLnL;jbFE}!XW>jYg6N|D}9);q%&a^Y!)S(XyPN@E4^=s`U-atk(tSI0(bbW zi@zb_NnxFc{n?Dmo&M$BF9!MEBUUCAZ35k)FV*la2a9uatxijk_pdHeS5 z4Y+UW;ivbzE8NzNVHc&g+F1{J?0o|A^0wLG>}7GJ6sL1pk-uq zZG`9QRSXoe`rh|x;m$sGG?U0iSPO^Ao*#bqn5IP0L@IkNKb&lOcQc?xxY}oRqV9^* zeD}+)xu)GA6Own^7gi)E4~Z{aq{R+z^`B}EnL(>Cyv*b>_oyzA-W|N>u{>ZL?Q=Ac zE)Ov`RA7X};Gf+WQ=9G^358w|Wa?#4g_2w7-Ns(V#*$YW@)9GHDK@G7?I?26kb&S4>p$XR0JEk=AgO=YSE~6yW%4=$(<{iaP_9_}$bG5Tf%M7&d z-w!VIJzZX0T+}Md;UZvg|ARq9Cr0X8Lr-nuB`9J)kyd?R)BM+k?Zznw z)9xfe_nm$f3}@p8pY!8MEWbRuST5(&kuPRgd<`d#mE(3|X&Q!(9qf8#wh6Wj+=V9_ z%_Pqk(%drNzsDvH!6KyQQ&dw^TX*Ab7O3;5hjdSOWB4gmiB(V2`&)4v?X1y%Rx2jI z75eP*5YbCeRE#->+fL-9`_N7~&>)8ht;)8sm=$dfclEo}=2B;8=Zo52SP-ermP?g$ zuOEJKn36Yi`KgPFsuPAPbuX?pochu4FJ?)?Hg^kOcUcG}-FQNkt)A?!!r*}ow;GoD zCyb}yYt4Fnc#2&${-d_2))f2t&~@*1PciomCZFw;NjewVhK(TpciGt&NThd2e-)ZU zBj=s#+O<}GpG`u+??^y4ob47?u2nBPG~!U34i{S{NxH3R7nYEo@7bRRkBk_ctUQ*z z7wV{z$vHGJaq`d3JlbCyNBKb{qk;;vP#e32zVw>XyA<_X359Y1{()Gv0$i;N=)ewEu`TNRSzuNigd{0V9SQvrV z@#v(ohlhB%-FO(Rz|836nMgfcVpc{5hFT(D>-FzaPAz+|#}OaznjP&dxv$slZ=HP`a~*xQap+aKKjB#fr{$mML2{e#$qZxNNDfi+4tWsdCESz4 z@4oj@T#UXaMVVY-TXX!r`WWxVe9uqw4!=cS$x%-dxLG?{@;Dk(u4wpa=SwWymYtuU z9`K;zCD$qy;KV(9BlK*fwARJ9rUS3|y@$1)AIDU?B6?;A31c{t(lM`K_M0NV( z5N^pp#A+EB7_{(Eg@=A$JlYLlJdrEwhHUX3rG*6X&z(<&^#+jOI}40zD3rv#jE=X{ z&r>UmSId?rJlAzmT%r^1S+?~-gw)(hN=nnGoatVfD6O*@*)xS3lP*I>L(9wKPT!?- zP+Ak-`{T7fhMucs9^3n^WfeKTmuP~Q&im}^D<*v&+Su4=|6N{AXgEJzzpbr}K9C;z z>9P|*BBO=k@`Vl18JKjRx%hKue%`9}sR)nLLa(l4Rcg|Di0nxQrrhCHVgqk>-SJvY z-V+0kIBi>7+jvMpAF{F(${4Eh?IHATKd7h~c`^)lO;IxZd1a#Rq52bRYb`^*M8|$5 z>bcdF~ez~;KyK!9zxQUOAi8ItDpg#GPJrIu7rOAVDqB`q28fjtQWzVJT>v0IF z-W3<$txXqu&cbo$O(0Z^)5?9cS<*n978f?kK_bl~{Z6_JJv%%5w9*GQA%h2f%Y_ZZ z0gZn4-pdd3mL?B--QIB#yyn$+9Q3~Cod5L6lS`v=L-MQD_6?_dS;mhwkNSspcI+{m z1y0l9%8(NuaN%OpjUhvHr*YTJ|t$AmFd=Us3)P|-yyS7 zqc-+N?O79UPnD0_-AmZpoqbbb)_h@QxC9s0Te8-;@bC4i{I{_^R-3;b+M6}{CO)1Y4deRQb& zfmeNP1QsecKffpC{(}c0zGvI%ZTY@L&8ZWRSy6IqN=4QI;@q{JcpgM)$R`{!pS z6AMsgv2clX?u=I0GhQH~VH#n#W@~s%IGycWES? zb8YJ()idr&5NhAMH;}X1u`~a#^_e_B+t2;zRPTkLRb#*f!Ax$~x-S8eQe>Uy(XCuyab@#6xodNt)`mNeOgu%uigBO?w|LDc5+-N_z>PQBu|U#FHo?(LhYsdbSVsn6V)`(6_s3x7iOT1!GAA1fx(|gr?_^xz3pVTJh4jt`cy7#nCeqs0w)41FRI_=Z zJ2~K~NI2wa!yBif4Tl$}7#_NxJ10fkdik8l<*4UqYBkFVFJ~%k| zr=sEX*~G4@UDuQYN^I*!m#M&?;x4{s070J}S4D2zm>PbZ-Wq@P-XGVR=->PZYBH2> z7wE<}LkggfC4pVl92HyKEhLRAX={@q_apc{Qgq^#3BX09FxpiwaR`fw&UA35w*X4e znMxK(xyY&#)gpVgNiz8JXXE<*qn*Wm@7FZ&~58`VA3 z5uNn9?gPhgWnx35;A|H&D<9C^vm=K@MP+T|R@-R_I z%6jMI5TRdU)d-vL=1IZT-}6``Qhp!Q63si~uO397ACLebJQ?ymrH<`jWAHhcsvp0F zfSna+isu72KJa_vSB$$}Vemb9E_LuHfaZoR#p`PigQ0c{et$*Ay0J5$$x1^s-7C4? z!c$o5|M;!Pg_*YK?@!h>eUC12^YA=}tp8`^Nnz{ucUfN+(GasFpO%CN#-VpoM5d~j z3z{F=*99SwRyh+TxdFlb2u_|}gO7Kj=ry4ibqs~ITLg9ur>?xlwKPa>MF6D9*;e8K zz>xem`)@th8t;gX2QH-hGPsSqP!|uc2u9w;L!BQtoQEUj0M3A@!;q01bDG9X*^seh zwumR@Kl`Be)@$q5$!4^#BBU>$gJ#C*wVL&B#g<(g=Vz1W%|X=0T=SlPUgA1TdheSx z2VXpx*sl*6uW_3JTtVLZaSaJWD7!`wZBq{#jwsh^w>4_FdnJ=(ee07J@;((bJ*yZG zh6;{laxzW*e6?)Ib$9||b)ylN(G+46*?#12XCMtn{c%CNjs=|htb1ZMQD#Xq?GtsL zkck8Sxz#nd2G8P}|7jUh{l8%Sf8jK64x#^v{`=P!ii`RiVf-h*K8p_-sggZjLSD-3!@=?dH%VStLnaWGD6aN8I#jV*sw8<81rPh$f^@B7jPQ(67XeU%Y8w zh(`X{PfVmXoQHT*7NDUhJUTkM)UOMlj5>OF`PTo# zNBXtq3Z(QT37BERn$iniOYE9TbDLyhv;zQg5r7w|p-8sCk$b3^rR_DxV*)Yof47N1A$Xj?F_MHD?(kiD|6NfL z8PaxKv9Co_cf!6oaWoC7BCCSjG(^GMMG7Tt4Oh;jfpEZS(QQt}HH`w@HjoLW@;h%I zz(uK>{Cgc!?S@q51yW!BFA?`&yyE}TlK=l9X?q3!&5wLEew^m=`alY;`X^=bgd;30 z?2ofVk##?d@QoX3EezKo1=1kr;=fbiDF)S-UODAR+8~7x;?SWmN}iU-Ze!1JjlFku zrS`|1kaoAPug~vOLG@p@z1LomRDpzdrkHO0kp(mYGybOV17q@(eB2UGt=S_~e=D9GBEN;z&O@ON^5x4lM6ZTLNf0FYD^u{^6y5 z9)KirfuN~nR;YYV#Z!{G*CTGlaZG*8dD{dz=pVWdfp3E!?~y_G^ZPem$uJSXXM^m| zpNS$PBaO-r`xHnTXEt9A0o4_?eIIC1jhst!b91?$Kf~&Xd&w}axJm+@8S!ncC;LJG zhH{oRyE!^WS2ZG5n?k9wKoyVmcz zLu7?uIg-^cz*nG_=;`TSDYCR%2tk>HSKpE|;8XZ{m7xYZ1!ZP#E*|t64poM#IRkh> z^6=Jae0wHR6zcte4eVM`s&OH;JY{}JAlFetCRe877s+-r929&^vbr+6T?ewmL>Ew` z+s+l<-J2o*xwZq0rWngaZOglv1qH-_RhvE}8i(m{2gxzLdlB|)a8O5J+wY4WFT6P4 zRdjbWEjedaSJMKUobG$(5uKRjSjDUm{AVhJk!s?Cy#1fJ=YT9ctnkM~x8H~7kOXukD|_3YfaQT)eTC|U8=m8w_J z;lK^R*Kbku;Yho2uu}5f0YK!QJN^Anls*lNuuqlKVLXbSVVS01{V;&Zg%*0lUFys5 zQ`j(wFnAk$wJN#%QHS8!vuD;eHa9&zCGUQuxcgDZ*t%LHC*Y@T(9m*F+l)5OCrLVD z=)kh->gXW=;TK?S;6)XV!w{{auKD4v`~i!gnl=TnN7>%ybgJyx)1N(>YUKQZJ~RB(aACc1zHhs#-lzT4_L>?$m)f8#p` zPRkN~;4XlDg{YnS#)3J$)!+RX?_i}pX>%Uir^2H1K>xn5k*h7*PpK{Xm*%OZhSa~XAA(_ApfU5MEv`5+5IL3XKqw4uNw=p&AZ*?B5M7BS{)M(C#-k z2z{Y9&~PkFmWK@xqa%j%3oY(D;EX_7cvxYlEn8wRR6$lir~WN z$9(aG1kTF0ODiheBz-yJ8WG<31mM36+4v)xc_M|J4SMo{wm|s|2I(~M@eD&;ap6=S zY$zStc^r>~Y0XN8P2tRnq@Xo&$Rd@u-~r! zF-_@KYvHD+A`6k_IRi_;(wSC_X23VQFU*9J15Fjoqf!NxmUFhG$VX(#LE}wtiZx9M$Y;dpJrGIJE#qN)q8}4GG@ABB zX|&7kvj(jEnB9KInsWL-W$=gqmW|UtoWGu?>-Dwe&69t3$(u93S%bxeaz=O2;zW{P zXtJX-HtbM&4t5@;HS%VEsKS-R{8ioi!ya(N;Zssl0x^i!+0~`}-~n#KBuPl~OQ2Sf zwDn}DAPBCs)%@kST}Z3>&0DwdL3IOx=VF>hh$72NSP(@P3?*$+f}pCI>4pwr|Ss=zY zlYiP$9=}y&>MVmQmxqp3m1FDw0`ZM?fr!*xmzU~ZRTH#C{r&ySsrs|OGh>ywUE;^B zbTF?nJ{I53>%$A$I(t2C3$+?voUu;|sxEv73GN@2GQtlCz9j|KmVPT1w7U{!G_NWY zA~;19l$4;-d<8~IMAh`UL>dUk zHE+QKN&)|6kW9(&Q>ZM^paLckTmD?41$+Q3n1k47?n72LZSDl}H9n6PX#%aBVwFQB zbFxr1s}g-mTK;feHsg+D{n>)pG$mnvZw;2$wInt>vg8E-wtoAv{q8sxP3#Ii;Wvn` zU3aRYBM%KEorOe=VxkJqsH(aQViS~w*49=KRN(j_U1LglQL_~@5H=GDr^}Jy>7l=}{wEVzb zj44-`$pL-O3qo*F45(;*q+=$$ZlL|mRN(9KZWA2qImgCTSB1i%=2ch12MMFAkT-%m zEc~Ged|!Z+s2xhn)*ZvjO&i&?yvqVv)Q!|qvfuhehs9lNbk5zYEi=zSe@^%#|19>M z;+zk5D39a)xY}nUtBHwmDjQhuI%8wis6JjKPtE0btgJCCP(2-d&1V~QU7sj(OZH84 zcB{D{;B$O5EIuL)fTD@#>RhX8%0^99H3F;kyJ8D3c;r+s*QD46%vT=IfXaNt$h{GpTqGP4l6dZuYk6{;7O z`PIBAcg%dJFja{?u}phDj<>0OVAh*CTu5gkhu(!hu46W+tZQnsxbFicuB8h63Zxwf zw0MgjM;(W3(Sckw)w5gDj=5+t)wu+=+a7hs2d6&3lHAm$fOQO%XMRq^Mf$c=_?BuM z&W+3%rS!n!f=&+LF+HKufI+~gxaOs0*XvEUG~hjYJ=g0(p3i&>wZ^#y39R*6#Te$h zZMTlM(w-U?`>;$pi1(%qPux3~P0N+0LxUC|`=_7Wid1k6QhF|Y`bp3*84YZk*~Xtn zuB%tcG83SY5lNwBp^RKq!6c8QfEwICG7<(H3UU{t< z)~|-EEx(R!9{VUw9&MqLAVLzZNTXkwSw8pGRUiAkt0i+No%P5&=iz?E%X&-B1`*%5 z!tZW97fe>q>&Gg~BKcbx$ldTGnZls_sqGcXnHd%`;3 zn-)H5S92#~@#JW^aHcOqL1lbRw0`p=drc}ku7{zDWT?Eejx1(Otx!p}&sxXD z;h`;@`Ry#Y@o_2Yy@j#k4+ecfus+J|DT_VVOxI4%I?3#(zB>A{xV3Z{9i2{BZdWp_ z*kGN~fmVtt)Z$``;t5)flcNf6g)8B|Eja@~f#w!oyvozT>Y~{*G+{JSrs*MFwSF;c z{^KBqqSIGo0aO%x@yZ2ofxs<*_D-Fu32bb83^Rnu?_x`}MpuH1&IF*-oj z*Z}E*e&7yAv%q5xfbR$&4}SyEY7jfh!TR}`{riEXN4EQ*nkqbhE?7{1WDBOF;y+T5 z4iR02_R5vbf%LPTq+hts)veY{49Pd1{Q85?_Vas?a?+9Pq4IL28)J|K%iBsMWy)D1 z$X&_&H88^Cb}FD0A-dR)A9n>YGk7(`>4>39Lnfbs2msMop2+6O69pzx;3Fxfri5RZ zN-;dZiR&6RbhM%n_f;)rc|e7K+mS}%CMIAe)orb-ED2+1rYy?(SubwK_Z?Y6KSX|P zjhK3Hlf`58lr?T_ZMIvLunaUE>tMS3@jlmLF=#-`pIdLb^P;bI6t%!Jc8NoM5v}zzf$4_bSY_=?idnCQx1~k~26-=N z;O?MQ)U0eDY|hj?tpH=gSZc?i2Q-L{rliZi@+HlEfjhsBAJXh?(6s;iQ8Xn5`bBfZ zaCMTHZK-U#n_0X>TF2Vve|9c9cT(gN<5BIGO&YHS4jdYp1(U)RxpeJ|VH1DN` zt)M`*g1SBVf#V@lLNeNcO|tN*ND57U@60AxqcY%Pq3?mMu%P`gU;_sP9XBiN6;pBxfEYAp=0&sO9o3!~q;O!wS>`;nWvFp#v9!dC zKuB&6%Z!y7NgON(UdH@VsOnZjX+E3-JWIB{zM{ShOAmRelGL+nd3hc4FGngfi~Weq z<2~sYQOVN&S;WDa!prufJz%!fsb<_kjLxBE9E1+24y0@Rjzc&8MKgf%o{BZdar*Vg z{Cqo0p44sDaJ}y22;;(#p=F%D!|_U}s-A2D{U-(|KE4w>6Y&_Be%}|GLG;L}?iek$ zBm@VM;g@r;oOSTjai|h$vXQ@PHP8DFBnKicBQ0)k4KbaRJL#tT$t!P5Fwa~Cm83ho zfAJdZ?N^ZDsF6MvCo{53l z7yuNG`e+kSIFS&*?7ch>3Z!f?o-Fod{I2s9o$%Vev-vQzaw$6ntUvWfKMTWbfZ1a7 z+Gy-|GYlvnJNhqyT8`2zY)YhQ;N6FJL+1m)1UxN4%~O7DGi0J1 zKruogbFDF|41+Wc{b7tMo8p=-D8>d4A42JQxr9_pq!O z4SL5Kjjf6qD|PgauAYxjf3^~nIB}!@MY}Es;WfvPnI|k$s#HK&KQ+da4oZuA5*El# zp0-%mV|B^H6!>l^RA1>#;?E%2qi(cD!qB?E0DO`^Jy~P)d$Bnf!qeg`gW}* zM;s!pw|K6;u&>*_j|k~4dAgrabW}f=Bzl0bXM@rYCelDS1@umm;48rjhMUEH|HCMAUo4;yq_jMB0)eCUpE<8zXQvg!PIt2I?xkQXh|F zxVRpxdyylm#|gil03}v2ioX4!@5c{+;IDw`Meq~IAzw&O&5LM&=+?DN0PmSUaNK}Q zm`F*9Yu%-w6$*wn13RG6Uo>^ZQPb5-@G*fz8gW8Gg4p@Vwx_Uf#u)b-tBO%Ux3w{b zYXjrXsLHKQp3Npg{@ET)@7IZLRfh7lu_{l0M#=rA1TGnxj1TVTV4_uXp$CX!ay&Am zc(4hj_lxaMZtQ@YyhhdWxB;d#*$qi{3`0y%*Mc z!?_F~Jy-c((CMrrqZLtpbQXM)PVHzVR(Z6$uD*UKr~&UlflZt&&Q<`_Ftf3?wPb=wEJ}w< zEbT18{Y&TKX>^O5{<%xl({Xyw;B6gV&CQ0YELR{@+L?UK&@ z`w(fYDLr9mypN@WP%LwERmIAH`+5#h^}IJ(o#S7$Pr`521+296;6J4!Hf%)o-8mOJ3Bfo2U;hIRl51B<^H2AqCq9Y&`Xl__d(=$bf5=uu-@4vjobOzWpPI~VAM)x#y?0Q)^hm!^MQq6 z$~yapLAe;et$1^ID>4W;lC~KDmIzY8jLW8Mfsk3<6n7Pu|#7@d`E9bZrys%g@f@R%BQ)!WAWL zHAmgZYk{Zsl1X>Cr!64)EDnfm;IG)d*su-q?}NCZ8+;L8eegcC`dOrKv`R}$-+lOi z1GXwT7nd8bJX~9SK>EQM2gr{Y!U5zXyQ5WZ+|wfqlJPs?S1Q32U&VK3>{p7Y67*S1w0@%MsAuaoGW%! zO5s#4qsj^jSTaY8teeKr_4H>dNgHz_)XeeH;X?Yl%N5ujgFdV}c|&M(4vr_!`6e{e zWu*D9|5X%lTQjUZ`umB~s}6`id!*3t^+mwxfPPDKs3N1d zXt<&JEODmGUA}l;b@a?D%z>qlD7s%7qJ}$FD~p-koCc!1=-12(l=ymVV%i5U0Pw=H zFMqJSMG@b;WZ8JTw+q_-Op3U@$W&?^)TX;(W!dbBz@b%aR5?!**>i1#d^Q~2Ta4&6n-2Usd%4$hNVfmh1raUDs9jAAR-xT z&4(}q_Bye(lZZzlJS13^YK#g#xw@`TL_&v>n?2`PUMo@cK3CJWzLG0;m)RCHl?bYgAS99~_xP;PfQie&AhpbcnV;Wnk{*KuMeM!ps1~aHiaNJGrpb<_s5}Sknj6}Qi4l{ zs)Eq#;G70E7X$uwEnpfPl#8;Bkg=5#Sqv;00C0e1WoUoJwRNG&>X3NFalbDU&F~9e_OuhjT<)(X5%zl z+Jgh>Ql4k_N44|_sGs`-z0uEv`{qgd;^?ZYwutHnW0;;oq!-9Y?QSd>O}1q$$?E1X z=+NXrNpu1H1WHTP;x6q!l|DE@=qAj)??JO{hWNbdV|>9~l_guhwdil~7@az40ZI`c zhrUi`e;z6qTbew3)B^qjSlYkT`V&ji-pZMjRpr*R zN>wK@V-HGYEh=K+q?YGKXpL%)RFp<;on<-&@8MK^_0!nD4|e-G3yd_4s&C(vfj0uq z6X-55Zo~Eh#SNW4Bha~kTp6NqK}!Pp8BsQYRRc)~54gUPVT7kwWy_>JMMqWL-*}XC zFA}kWE;+kiT{-ZQF?62_8lOn&0HjBBMMPcfA^zcf6y~^%0P*UUG`{|No_Y=`6fQu8 zWJ6Zhu87*TfX~uL$A1TSA%~4WH=kczjgmk9QelY}0{H%N`02O3)zN5M5AXm+B1SVX zZ-%v>NRfjgj;LclmYgTJa=mYf(XEM+{ATdlxG8lw8wYI&XAKWgvojVPI#%Xzi7nxP zMpQ^M1~8QsqZc6>A=wZy%FuzOJrIf;xFr-~Lz>M%hym*ZP-(AXZ_;Y>0g+2CNuI+c z85WrIROFN6YRrK`0S~#cH7)S}i&9mMC>J}*P`<6jz>#+^MqKk3Stk#)WUu0O0bjt( zo2C(-!epB+)Y|UN9xgUp`(s|bLqkkX`Ulf);$AYZPsb=TznUHIp;d&T#YpOP+9Gth z0zBIA4)^NsgG&mG%vO@I;rgCfNVbSz+=%p0`C&AAhR3_&;>@D|Dq z4hYg zUKz`-55O&+^|vOI%l&w@!qfXv_P|oL;Q|;lwSn9#K-ZDQ|H^-eIPIt2|K$5LjvF+R zu+LrxrKfT+Gd!kiZUb5&=PDlv4mg=a3{rYGq|-DW0rrp{xd6HEJIp}@toxoHLo*I- z_~OrEyNct=om<)zK&aMFD$;qKE}OLd{rRaMj7YCvzm|DY0e1>b02QDv_|vsAPheEg z87X_`j8$WiOy~|M6EmB5)ZKmr|;^i+7f(CHxTioLxGP+`RM5`nPAh|Lh% zeKG&sz^Kl>_ER9G-*JWAo@KrnmTKUrfpl4cEP{%z*E(*l2uB_4x@>v&jpW+(l3!8vp%jaq`^#*2lsftU9 zuYu1gX8<2i4$SvOk(DWk`WFvGL|sf%7~~9SWNO;K>J+|Lvl2saApo!%cwUu3mBbr| zlEv$?>m5v8-+Ako8SolsCnEXkVA+JnG#DDs^YQWUJRvykv_m;@Iq8=k*74^2xIBg zZ@)=_husIGDG-lHzJh@fYoK8PuFd(gImY1O&=DIZ22me1q^f+N-;7pXk4t}b&(raX z_--^dEw?7P!dNT}eX98$>vqVaSDIKBE`_pe`Ct>*yjA65#YL~wvS366@{EXX_2e2B zL&FWpHquem{BqSo>73Uf6~43M>x-eD#j46pA9}0;nx{ygb$*cB66wk!`BB7D6lq60 z=XV6N40{0sOM%dRv#Q6&@q%3sC}RQINH_uJ6t{r6*WwC9be~XN(1wAc$r<=aUJOP7 zQjL$;ae<%Dwwlpqcu=pPJfYGif3ijjExOhy*@W|cg(`(83ZM#@zq$V|Lj(zOSP77o zpT{NkSRvG&F5i87Sa7`>*Jq7B$NvZk&EV7lE(9fkyGnE2Dk85T2*wuN-v;0>Qsjv~ z8yQ?JMtp_siY?dCV1 z-7B+za%G@vMVx$`t4OROBc-kFpPWOf5mv*3AR{SG@aV2Q*6U*#W6 zR2m8WTlZ=FF~_cJ-aj}22SWQOK7-!Q@N1U+J=e_x3ka|tU?mdC0k|Z=lj|xHY0BW8 z0&@#c#b>9-$Z#LR(uEMy%l~7HQIJTZI@E%$FVMZKfRX%OE{U)#KI@2(^so(UINJy# z4%_{{9_(jV62{S&Zc}YoOogNxvw5}i@ew3)GT*Ud^t0CFY0@^iMZ}7s>Z;QLdMVpp z#{EUski=TXm(7{)49U5|9kzr=jGv)o<|5H*w;6h3S_DSi96jC}YUK6Y%R0{)uz||V zyn>cflE2SJPGZTQ^AxT8gWO9n;AKM#ekl{s}=xcI?&ZdM)VX)jW8(&E{NxQ z!;cvg6rMm8F{g*g7m5HIlpH7^U=sPWe~jTQ5m!BGm&tQ8T5%JMHeoKEYq|!2nd{*2 zE&p_N*1c_AW*`XuHUBPPbnp`k$J~H-94XP`%`GUPB6%>o3x=$x!^KK-G>>Sq-4LKa zBmH7Wu&fBYUkH>&ES;b4e{#U3Cj^_;cd6|N_w%^)6Qts`jja_SLvz#M)ckuL<5Om4 zX4gvrWatLkn>@#IzM2&wC?&=>(g&6h{Ot$4Gs3{G#rX(!FJThubzhF;HSUl-xT+RJ z#}5k$U4=Z1@W4bE;_oRlAPZIe;(P7`Vk}rP1UpS3LYk(&w7+7(2)Vtd8ko`NmOrZc z(3pdehmEVFO5ahgg7-_`CA;Au96E+MfrQ&1J4r1=s6wx^CH3d}jog(Xc*ptj&T(OC z8ID{+7bGP4U)5h{yZMH%vJKTwIo!$07B9X&h>^jYsLHn^w&dk!?@JRo$ z*U26YL_VCs_5Eh>n)-QimqoOi1H1f6IcwU4yvDpJ$yNXr-4*~SCSf4@2uLcOskK?U zSx5PKiy2UsA3pR{B+JpVircGsQlu9c9u9M74~)f&?jMA;n*Xl%mIT{I```$C(+ebk z-SMnrm4NA26d3TFhZi8@0Ja8dT1)I(Sa>)%Gsd2cO2ZUqR(bh-JiTJ;N!|3Q;DXeL z0OLU3!|AIk#K?`h=@!Kg;|S2qu%cC8&FH{np|eCJ47Y^e6aX<|6A@Drja)Ayqfb&$ zqM&C*nAIa^`pL7s3UDeMmG(?*!JyRJJ`9ff(^dO@YZ>U?5YUi0dqU!SfF33@<6#TA>#?-UyJpB0>b%8w6cA1fY8&#Q-`taH%0K#l=2mKu*ly=y4P!FW|yU z?d)s6s%W<0DC^hE{#aNxREkZa-JCdK3N0YN+Vw2Birat5}1%-f4deB{B z-Fyc2$H4Ehz8}8+`*FHA2R1JXVKc!HQbX5U2lP7Z+Unh}v;wAndgTQL1#PT;yB9|0 z*AU7bOOo!|c&OIQx5$7@E)Zoig|}3@$RHcTn1-%6`QlVBWlu$}fZYkSe{f9zURJF1gwhG+p5}%i9dY=xcr`8zJW=}Q zR8??9fmc7_L0GoS3Rf7**lo!7(*{LPhWNnekP60k^LkKmz{&xB;R4dGpRM%&5*+%^?Ea>x`k-V~*Fp)eY(rP^56?S`;F( zm`U++g$^u0B{iO>+C>CPNWK8yK*kLDOH26f&pDx`asR?NSRn;Gwk&u}>T6Z_VD6Ul z2wTpg0TQO}r~9Gj_l6&_pyh;VrOj)IoU##!DhIZRnP^!mjbmhxA9&`2MiL(f^=F#N zLO6&c)?vFxbm5}RbK!QZr=TI9i+#lW_2$MCMW5A=UtvPn4fVC*bhN>&BbMDu+M-tv zuz#=WtdJ;^?0zRO_(0!-?8vGd@fDnOpm+f}0t*dP!z&p0Hhgs-*hug}0B~(`Q8JHO zdB-Bi4X&<4uoPdKCh5Bxg~sC`*lwsgLv<0@ z`b>Vd&;9MMfX76{P33->1ZJ|Z@`gS&s_;@)&e%RyLRm1=gDMX%;JHfq8BN|q?-9~t zIjZ)@`3yI5NXC|mKAVlo^yZt~u-Pupz1Z23`AA(u-5OR7!CP!%Oz3L3X-0}&Vm z7XlPcg9`MrO*=~iuvHr{Scha4!^zkVHb^-Kc9iDOj^QW?W&#n~<#iS1etxqX?oey`B!Dna>+M{^q zBLXix9d7V#uzdmG11?h<0kklC|LJ}{`Q#y#U+`DBczQ46!^|fb1U5*n4oN9=Y!^CS z&au6K8AWiSA>McxHh?6k^!#}dS4p@c3-Y*&a{I|Bn14p>iooGR{RJ;Jr0GEGu8c_# zo-3{WdSgjEge5#IaSgo+Bq4vbc%6VOQR&Jdhe~ky z&4-S+8h6-!^hJJgZ~XZ!X(iSA!0-JviAwmO;&uU(BEuZ?@P^I5D2! z7`}CL^v<@HR=rg0JHxeG$wtL9w`&?oqkK#gnNe+(CLNzJkT*bHEHa)CbrCph-i?OCM#Fm+!sD)2w5rAPBu{0q)(iZ!iM@TnJ&s+GdMw zS=cUvrm_1J&gMBhMudh$YQxXgLIL^&n4lET>bnp&a7S_+8=S)kY8j5>}Ai6lf@L$j%a@V-!TObXcsA;~Hxy z#6l=Z(W_xjSEm{iqqc2bW0|2rmDsM&F8Q7SU$$6JN&ZsV9sUs+@`PO3_!>&65Ccm( z<`?~>Kzvt3ABT6|;VLzxGMFtEBR4B$RqK4Y;i%=!y!p*S2yr+AlY07Al`U{Xfjxa| zF{YT5BiwH!apgoPSzUfC^DI_CW%(H-kbY}O2js^fcEV$ILeT{KtE0F|+JX1Jz+ean zoZt~dM1$s#Be=6LMHc3Ar3qXEbe!1{In)u@sxSd35X{L~m0x9mJbF`@7I`|%@P{M` z?<42WaP+0bhhFc2T#P)bsq$~$r>L3NvyV!Kbv}ekzq~yQcKm`jzY?xEo*wOT<3iun zR%$cQB9e}W%x}ZIY3M%KRX{+=bN8KtYWGOKcd9@jSv^VA{_S6@&!qnhxk);}qdum_ z-6k!I(!^K6|91dW@UM{PHkpq=sSvOo%;iga1y=cH$_IuoVU+s{>PYFEjtM-6g_~b< z9+{6jgC`|nE;>KZ?l1zq5SV^V)pNv>VEQ7Dg>bZsW)d%1N8=Nyy(RlIGL`1Y!!d z_wu~p_nik}$k;dv=F*YTerTZB5Ly`VU;u~$#TN$C+Mt6(s!miCF|en)BC)OJWFI_c zr;7~on-bU)KZ7?3e$Jd1qY(D?X`DOjzAjbvEb6&@@LkAif=;7)m(Af2UKHN7T&D<_`&z-Vg%TZ z{;vebM><|k*D9c5}o$OiOjmdi5o918-Y7zvaod8Td=~_z| zg)hLfb`S};%M~agN0w^Ov3KjEz!Go3%vN4DMp~BnF3=l$4Btl|z+q%fR-euc=i}zm zsDq~-OrOK^P>R~Imh+eIJS^6`cMl8vfF!afq{x$y5HRRSNRxe@1w{;=MKBwbO>$WX z8%XFySBinPg0vj&Ed}Kls2}tYJhsvElH>+$XJ|w%i-Kp(fa+Y@HP-U4X(Ry9h8}YX zC#YEQRph+0#HHAJKIpg3ZKxX!#ph!qJ+HWZ`FUKz_p2sqAgrsy`zEi3(oQ81yYdjt`)(ro+ zm4jjB!JPvt91ky$&u2C&Q>?gm!3S`xKvkqF$0~@%mLM0jN$)G>h`SZf(5WFHG2z%( zqv0kdV8U=ChAv=7hK{%yJ|A-vm`6l|hHZwH0omrnF36En0HzW01Ry3(NHg=1=5hj# zj>r33u3`e-9UvfoIPy^kd+5z9oQU#lnJ`{P5Ij#WN~Pt)ju}!J~`9;AvZ_D|S0qtOtiLbs*~4wTI;>zg(Y1eB`~q ziyk3Ql4JP3HYaF5A>{>6<4Th9*uppBZ%(xags9cP)2|xbP!?zeOGqm^iOkbhjli>b~_k>8c+6D!=EyN?k~v4#AFV7&Y7`t z;$IA@WMOV|pF})CHIRw=VwJze&7jnW!qfB#XXqql4Ni|8`NKN8X^qqOcNIIG;0XXM zrs53IpM>gAW%=Wfu+58J9hMHOg98UUHm*-W{>rmLKm>hPiP4oRvJ%$k1Djb};;1GJ zV%8Fesis<@&o0ZqreII0*GET3i-5VY8|9~{ z_4$lgPL9qQqcoS9iq^rM#=Y1SKXirY!X``tn!%$sR1Ake%z-9R;Kj}&--14jM;d!= zDnVWD25lV7Pf*4)Y-da4kNu8L!9fyUsM~GR2u>g5*$(s-%QGKapk?s7i=7N6qG?F~ zy5jRo`yW8x=cQV9J%p!xAa>}FOd-F9T2Y&dMT zlKF^`q_QcpH_0fYL{U*aMiGk0$|lLkNN5lliI9<1N|eyDLa0bK{okK{|8t$|Tvz9u z(DQts&*#41_xt_2uf{U0f)0+ECPtKX9JGn3_E0OSzyNx=jmh1+;Y1J@>t08-k9G~Z z+ah#}{#{F8Q}~#cYRqEB(*DutKp9$ibg-r!_aAkh?M6IhMiTmW`uT&ZTC&o+ zUE@BwcF3@Eglh=mas64OG-=opUr$eSUdr>#SS1T&&(G*OyhEw z<^~g1Qj}-Eu0#R7f`Yg38p`SNuainU{vt0@g96Ipmx5}SfRW$b&w#t_C8cd_(o_fh?(F);zj(cy2QB$#xY6X#n}o^ zmK0v=@yp0(V76{b|E;}{g-g5|$G|-rKMsUo?hD3@_>cc{In@r*(lav!f0q6jsm3Mo z$gwS>pUdfy&w>YG-g&xwK!BYYOh4O0>v#uNdF$)zdpi37)7L;?i|>kJ&+m{2gc05p zqyi$qSzBM}drgjw-1hGqCAN<1uak2_A2#Mu&R9M@=Z$<+PJVs^=zF0!fxg1bk6u!M zJ33htS_sCsjC530)IRSREvAkq>i}JZOe+$kLhMZZ-*Mr?K-|j%CM4{S86CP3KVuly z%_+fW6f0O35EHO%zfY{@iY?4UIqEdi52h|%GV*^iEU`au6_c$=kLzWT|Do9&o-3s0tGv<++j zcs2147zOZ7x5LqeHUz?n&2OR-CNpwvfrTKttEP|84as9K`;*0Z_*mU*-|5}|K%!`% z{(<2rS1?3JwC-3##MXPBnvp!=5U1W1!v9fQaOPGu(q|)XT-;sp#|%hT&)^925+$3r z8mVj;=%8w&{wCHPxcI%EAsL3QpA5SvU)+_ao9t zueLzZdkl37M{h{Ko-^crBr~BqVIVAf_D(ZWhG<}uMs7;!86x6-Q`-4(sSI5mNQLm% zl8OY1_V$B!kJg8BBHW;Q#{x`8GPpjk9HXV*X`MDCA;caR84rPn`$)+d;}CJp?I3HDE~)}Y(W*X zih|GdJ;euTte@V94%j=eWtqzD~tGqj4b31h1A<&JTv@w8UboDGe@QKuJ{h7*_danc7d&x zXn3=&7b;iYe%(1bt;DkqH&o?p{Z8EYz4vXGM4>C(qrXK0dh0kSUjb0#CsV;n_*i+k z9^Gt@$&<>z(#i{O?xz2lG|>E$V-?diBH@Fyu}50k4kk2m&+XZK=+nS@s%jLUYF;)Z zJB^CWN+Zk7Ogs0;^MB&Qg&fVvu%A(p%G_4bQJGw&E)yJgLA`Z**`BDVPkZ-F^6IbR zQ`_C8LS;E@8mi$US!jANf{XIbBMHI$D-sDdF~J8~3sA3eTTB+jrW_yml`$#bm8iY| zBe)7$&O((r@3h4g?C%EJ=yH|jc2n@K)(C0zXb;haXix$~)O@n_q}Xc)eg_2*AQ*oiq8Ohz@%Iqp`0wa4Ct7fTPM z9D54)lwDt42tG>It&cH+yuL+dEk0cWV(W$#&8;OiP#Cjcq51p;v~NEMmBd_+iI2MM z4@id~kq~Y55J-tUz$Pl)9f#uuj?~K82>oPPHdqS0ZOqJWT&TU-WM7x#uZh9aicHPO z7tqx`^p@!5>$8ZMLcj{K`F<#E;8|hoY)Um6{wW;(RHw5WLhXv-m$ip0z2zu5Ja<^p zXar#Frmr7l9kG6}!oZUpj>nUur?tU=CX92%NVP9scXBe{N{F%UQ~;_sY`6_C2nTS-D-#IP&E z$r`eSxwShdNl{hKoxojX{p?ggw*EP)4HvlP+L`t3M|A$gSg7riX2XM-sIt%!2uPk0jjSTs?Oxi=zUC;J<%I~nZCWr|u7epHpf0Lk&nyFPrYUbOFu z`zy3dr!^vjrZxA(NjK23s?lyM(;ga=k>o}-^irbMr7PrPm|MVI=fC%wc9I z6iTfzzMcE!FkK|K3#18@lAy}i`!=nWv#bl%$i#3&MIzxU7#oO%VcY_l6n{(zi09be zPVfnHE!lqVtZr&@KWeZBA7~(YUF+I1U>JUcGXjA$sh`(c>y_5iFturyjz6)=<0bf05u$$avD*N+@tqPb)NWw~TXzqH+n)xFo_@Uu?#e6DEYWv*gyv|V;o_-vQ zgzoDp6SCU%-XoV!@{34odzX7aDK~2f#(! z4^zKap zQZo#N@M4qq*tQp0VM~HXo#@zc6<8OW^$Q)<|uoH_#ONW zDAG_6GAd_#OB^n>dOvhdRxS9+$9?Rla&|m?M4d^ThY?eahx3`^fHM2ffk&Q}RKe$g z^wRPMg}=7#JP8%8RiLX^t>=IMHN*)TBkucPlSz-}hN$;Dex9{F7yId;X|v{9arqO4 z>#uk77hIQmHek%*wD0Y!9dc6xZClod&?5jSI};Wfs>XC$IthRlHe{HGgZFgvkFV-# zs}@`@Wev23k&R8Nj1O9I3Yi>*x!!|A8klLr07!AbBdChT*T9-jp};!9)v2C=dhUOL z7FAPuF1$?yq73T^3@XPwH@bQ8@hjW}0SRt@@z0}wyoe7h{yDq=LU~QFhr+c+<{AKS zbe*|3==5yT-M;;-LnWckQp8rMDod=!Xh?D#w|& zW+o0H?L$n_FmdSXzhX6(e@<`VKrgphJ6es3EWF0w%$VoM)D5u<%&cR&KvRwrFKX)HJNfj@8i9wIQGDB1 zy;_+fqcI>WV7`$_rSJ(g@`jd+tY=m8Qo6hGCVQkvaBLbdm+7&}TGeb1^OPz~6AC*u z>A8QwSotos`R#Drq*eq*WP{gZ7xYK(&<-Gy13e4y5u`5FjiCg9Q3gvJNCfrD*@fEd z)kXfdO7_GbW5yV=J~#nYe1@ARs9&NRY|~wvFa!VRG$5Jj`?s=T-ow+=;N8x_97v}5 zgQn~JZ!)Izp8X}!X^wsdhU1cw693z$^S7eCzzizk zTr!*j=?@+}_`0Yx=Q8iD{NYRqPly8kWrkwKztPYB2d{BZLpXwyz*8u>+kq~PLpN~#wLfWQ~BaHQMx)dGM~nx6oNlWbjL`2mti_UH4_QV*sLA(UfV8g?5IFPg7}X& z^O$L3>maLVSMRo==%xkkD>{lY-$<+VFP2LcWa^$o(4-MKu{;_%g>+EC+{mjhEwNiBnC6DKc^@uod>$yg=QR3 z>Gdi3bi$Yd10$F)Vd$@Cw2p29u;WVWne05Bk%2!E+;S#yE7xt6HyslcrTb65YKYL9 zTN?j1`}`+weH0B0d)9T-s|2Q_8ac+eMaiq^$&H_23nR5+6#oq}=5-#W!;BV_@~`Db zAJ{1L4__R@Q0(11A_B8A9)%ImuFAcbo3g7$kn%EFZas!<$LYdGE`ab%fW{XGqBTw1 zNhEbWhKZzcA%zTlg~^wf=iu3Li|k$^?v5cJ_Wa|HKW;Y0}J ze5_YGN0nSu-vf?t991CE*-7Xt!b0?-z{Ewxi{xyie*g&l&zpfS;2|GW>YyXWEr?3& z#6RjWm+v!v+M>V?$k>Qn3RV)h2dq#U2R+$}ud2pb%pyL(rByY>owk!*HR zWLMFCBhbl_66x0ZMmesO?TT!IR%2|vw0uxbhsj$1g!CokF^DuHl?Z=BK&BXb2p@)= zKLayF@MlAd$vU*IZ1{tFy&EwBpp`lI-ty#g$33J&!KQ?~Q#|sQv49{5gIp+@xZjx0 zTP@JrB6tMD&OMr9;^S8N`{ofm85sVMuo9kBSp34Ely+x244wwhDWJHd1TXY{{1)gm zN>6u@r*!pyS6S-|yUrxo-N+EZvrweNjp#6$8_ATI-q16;VVcganznnj53)$ah=ofI zK^zf{DuAPDpH|e-Hl!%$AXfNk(%uIunz@m8W!9?*^%_yL+;*h5R0!p9=Ew zZx`ob-nbt8xIQmvYo9^!GbCX9<(P|NEY(!`0kiQ89#b&&x^!P+yJ>WM-BN-l4 z+Cl6U`1_L}ZPE2zG#y89cNM8lNujH_G}Zp(t3S(pVUqvtrLmI@S)VGQ*BtFGaw0&? z`JzvG5lw(n|HA*@hX=Tytp~ee=t*g_%q8_Qmskp&t}Y5D*0E6fPJDr2|8s@}O5rxI z!|4gUOSIm$f=e?l71$p^E*{qW0lssVRDKnIoza0ss$71E&g#sz9MN@R2`x;!Lg_=? z)PB!>Cc_n0lbSvW3;e6n51OqR z*F1%z^Umc#$-nrntt;m$;7S&lO_hQfrD%8`(>cWU#!ky~O~urUc5$jNy}7{=6SW!2 zDN_B-NPvi|rn7>$hL#feQKC8!h#E%90^&zL?^`W+91B)p{{wS}JdPC=6)kO#hZpn( z-=G0FnIT?!e=ZwFk(WNJ165U%t)F@A#jM!o+(p;4lbeh>WNyi94kx02AY3TKJC;f3 zfo48%16nE~d-oO->tGUPK3k;R7OeA1mC+^o#O{HmCy? zESLw`l4*%DZ!keLO;Mndbj<(X@#)+Sm;ElG@T~Tb5J4xor zLb^AmEX&I;{Ct6d%cC=0Qr9=`%6Q$a#EDlKnpW<;v5mqlpAO{y2b;s3b1J{c3t!EY$zfk1`U>K@p7<=r)fZA9HVI zW1>%XAi-f)VY8FKQTT_aE)->*nf$v35d-I$Id4#I2+RaLI_U4$u-*yk=|3MaiAQpn zINcVvFy6)E(lR8ylL9D{64d196p>C%pM7b;)kPq8XzwAp34C%E)P#JGDEm0&;QQg{FC!h-$OY1 zhz?JBWWcs&HU!pj3ENq+pV9ijKajkgeO+vm<;2AfcF>hG)e$&xiaAm!VQ zyv=&{o!6(dc)W?2Ux_#=6gss(O$=t`!U|*aT%W`5f6lNJabv^ue!_Z?w8e85n-_8~|Ilp)EBAI>W*0ivsT#$Nv^7V_w zx!))+BKpb#U|9~097%V0${ywA`Z?C(OS=OeXfivUSjzBi zaVGa1@;)4W^C;($*_h{<(LMo17;%t?r<4MlBg-@I+)<0)dtflu8VwjR*IwVMz=bmt ziw2ZWv?hDj{UL5Z5-!img;y7UHnM_1^w&jPuhu+O@B}6QVt;Uutx|b<&DtQrpNe}D z^~lmLud(ZL(MW0#M>ZUv4L+vwwC6l6ldz^$7{q@ObbF;7&r6ZgyX?=aouXmoJ2z;3 zjVc=IPb}cGz&(g-e7iV5l1)ZYWJyVD2Fa7H+=^IS21Il< zQ_qdez<@RWRx;GJK$F>lgh1eeNOqv~nZPEDwA@_nxJz?Oz90a={@SYtcLpv5)$1{j zV;rfRq#Nsy~QxI1ln z@SKNy3H86`%-zirGVIw9hh(LTmQWiSc0^R{aN{2IaY7P&Fqx_r{Y%rQ+qW-GE+LHUt zT%%1MoP7v72~2GrUMznE#pKZCh>p8sYVTZvZWJ7E;E8Q_0V({X)ks?i;IIu5VBLV^ zM>dD$Xnb45K8y<;awZKc=andK5jvuOU6fPtIL$6CXG)B~MS9PVYz{zT!*J6D*|L!Z z7TTFrwaGdJPW@Z%;9I>{0zTB_T=%DnxZ=U}GqLHCS z=cUz46K`*Lca3}Onk3n%T^D~HwU^q2tvg#WwbVp}08K1hD{up$&Z%4PG=KcS3YPdk zO+tQCLAI?2GbVS_#v1*4yV+Ie)~y;m-Xv#EjiaROlZP?}I4)~Ge%8A6Mss%$a2XG< zdSUqJtJv73AJ;&QT&tBS9&<%qfT{R^f5^0}D%TZ9jvaCjlDVy>w&e2y36#xz3gF3;cIV)Q9iuM=mWzpJGy)}WF;^n_DDq=C51TIbSZZT@N zHQsZj%_#->z@o>Aozneu^Yio0hE&9)>vK|;IK5a$&dC~hm`7}CUUj70W5AMCgw@S~T{=_w8{pb@6 zDMxXWK(2iD`5SsVHrzD(?DFDa(;{np2>Jf&kXr=zSwi!x0Ef#n!Y*z1s!<#)B#9q! zX`g}l?EFRhVZY=X7>X?h3|RaLfOq>?M~*Q}ouFqVoN}v1aS%-Vof+u6k1i$AZffBh zSnaiNj+i>s>%E@sdhJUV4t?}p7$;Hj_Tw1PMSJxx`QidNOHsWb zt%K!I$01mMcuq!kq3Kyj$t?3tUa6hk-qd-RT+QaGvj}WuZ_Rs`-L$YgXg1egX-s< zh3i9;vFlFvjBv4LkIJzD(@Bj!7RsT-ZSlQLSr^RiA7Z>ba4V+e*TA@N^!0$dM(~SVP+^?m~3C#Ox7!0RQx<5jaG^qg`(FEbX6?M723?m+>5rOt{@JXk*hcaJWuOw3SX$mr68^&ueSn zemMK1q4Vurs|bxM!SfmtXET?808!h=TouISk&MRJyS_>74e+>I)OYrnSxpBFLGbDD~}*L?JYG9>|o zSKLhI?YvEzE0shNaVOYZ8sCc$$jcOk4LCZ0hIkI>uds&i_?qsQwV(HQe!!#h6`$S~ zv6Ub!VPXq65SwZjYUKJMw}SJ|8#|EP#qzaHu+F@b$ zYU(=Kkc!zCkfOhvelXWgF=DFrd{!);c@;mBHpDItBrx#Z)*pL{ z8T|o?1oCa4o=IBqV1dPLy-Fq}W}z8aDDJh#NqqKyhD3wSw<7)T{qaK4apzoDltPf2 zI6J-lhIny%w?CQIzFySV!a=7S>~{T+Pz>KP-b`aI&4pV!-C7;+#(N_C?(bB;(|J4p zAHT^Ok(^Yiy8}^PhlRsUw0sgCKhu&;cPd&-t80_GA}{k2vC@8((QVOz{-68|dSsn% zE6(#V9i(n-Y8A5l^)^(C+!cZeExA^Q3Ll5g-+%Qm<4?1Y|KzJ@Rwr^(%p9wlHXWl{ z3B_vjpJ*D)>2}o>yW6%L-@-Vk93`vOJCBEJ;0)|>_*wrSse}(Y{+zIImmW;)cMl&s z+u2Zgf>?u*`NjQ<>PubQ8jK&j@txVDhw)CH^UFi0NrDQf`>fc4YK3RF-KhxW^NKn2p(+@@h_1Bi2|c^NcZ>H`4U>P zL~ZX>rs~1xc-3Fd2WL0Hzt722;q~Wx?3>32w^S-~y}-6#{FZxf!S!aJSQtjku>s3b zFVrl!x9iIsgF%Tz4}mzoX#;>d(R*^jv7Tk<;`iKauj0>85V#;djvh?^uEjwMl6qF_ zQi>oijLnjIk;mvp_Xx0unYH1uF-mhXNc&7+WzK1LRzT4=8pZ zl$BX7Itm-BafxVgz(sRUk^1#qQ-am9hNJGR{dxZYQMvZeWb*+<$hoRk8HLKHbS0Vu zRs8FiL>T~F!_zJB6V$pCdAwwp^#!XJJ~_~%m1v7!Lav~{)FQFt`?~R!%pBQ1nwhiF zMk1FrTAUctR2$4~B6PmlulmoKH{`IjT>Y@p_*wQ`M{DZMCJD*1o!!Te13a=)kY;fTqq;fkz&q5Rly??SWjObI2=FZsgzg2&2O)dKs^f@;%g zgDIze?JYb@aGmvQLXqz??9MgaIJ~H$C%A_F*^YyRgMd`i#lPS0=QHn;hJ^kX!_II_ z)vlrV^^s+VV}($l2=Ej;5e0AbW2->tsthAbJHrJdN2S0UO7E)&(Yx3o6pJ(c`ypHC z?_?$oE6Y(RiWhT2&?92s?MDP(QqDxQlJ$Rf2t>wX$vf{wV3$afXk3#laf+Z#0&;qk@#lBLO0 zK}48=q3E8=#>N{`W$8YFr`SQ`ttX5HtFHzJp=76=Ywgp!dQ1QFbk2Sfp2e!zS)fpzeQm;uAzux2@v3S|Jhbm=U zrTr_zTU@R-^hT`i?}0x~x{6KVaXMLb1#t|jmT%%dxpXVP^^Lc-ntbXI6klOGFk-p_ zmMQf-t`PI?HlC5$H**Jib}FnaE<0KntnP0IHgg_^j{cZ}z)8GIekfPsXv#=uW93l{ zLXZv++h`_^`ypb!>7qb%HLNy>>yl3pL|{tFpw3}BFNnxc6<})`b+?cmTx|Oi3Pm$~ zi;Ra{6^P-2Z%#4vE=Ry&vEsJXkB%*lzoM2^~7zg^qn0$}rV+rRVXyI%dA>Awu_@$YZY!rg6{Mkn~d6ZmM2o8#c1?TTu+Z6p7; zznDE%*zm`p1(MUr%~in`9t}87;lDUkmVINQzX7`qW?Tes`aZ|ftO#;g2$yg9SJ=vj z-&FSTD&@b16B4UM_dyn1mKcJg?jjzrNX;1o5x5EQ5Q1R&(e3|rLYSWdJbTVaBT|6( z5kN=&Gtt5H+#ZWj2LtIT?9u~g#Je^LhOML?M$3$=2!J9|%LuUH(ZDbH6{9Y_{D;|u zJMW%Glc46>_^xQJXhfeG<>l6k@P^SUP$|MJgHCxPn`DYXEe@(d8q-j`x9b535P)~o z2^4NVT}vDE-dQ#l5wO`gk2B4;Ip5v931;ZJ#=bQ>bQ`Xe9N|i`XEWxCEfR@{h?i&rw(K~Ov zrWmdTwhXG`@Llx%Yy2=08Z?GbX`%;y{bTR%_L_1u{(eX4FV=Ozkg_JWDF9LVuOw4; zcbR)9@OvA3|CkB`7KZi$x1`AI9Nb8U68HJ--+xG_exSCqp$3lPHM7`V8;%0x;NBFC zuW@DAJOye+#OceB8O|Zh3(904Sura68aopFq0t?k9B7iokrL_TgOZi3I>Ga}EqUh4 z!si*&-(>Tur=Zb_6g!>}U*+5RJ+47=69mIy@%Y3VGDw9j`@8*xpkrRE|INC_y0O2! zX8QoRuUb?>-+`WwDkS>QfJb?+M>)n_@DK9ySHqsc#wfwUHT4(mNF9Hfq8`_#oP7hy z+F2$zYH9{!U}0GwdPB(g6&M9bau3o%*!o2Dk|%BKWmw~jqQ3Ggcz`s7w}kbN<83@s zY)1_wc3SGCFUKkbaa*{p#8D71syBKf=97A%pk8XiH$i?QF7KiRD=}J|@|(~Q4hxCf zEQJRRmd&|}0Aq&cdrD2E?2M63!dSpt`TIGSCl_hoZoXH_*by5y!}3s*D}PuqriFRL zJJa<54_(Z3X@x%3COXW}g9}^-e1F_FySz4*wK?vmPkQx2@Vz7hz}iS61+kXrc8qBe za|j+0{51=ioJ{?&rlR7fvX3FD4v!oW(>WCJjt#4F;C}fhwE}X3IX$bK4k(1UA+}=H z!1B!|P?etmxi8K92t@K5Yu_fVSeFO`0;=Vq4<3foUARFo2*$vaR#E;z5EhH+v98$8 z8Sqb0)g1fho_U$u7k7Mq9iEZhD2zxebPV1uSghbbF8%Cv|6;xfGY0g>6sJENZx~;w zavd@t?KS4KwXl?Y9`v@IYc@Xz1lUl#G>;gxktgFNJyHMmW89k`JMv|oE7{=WXDOid zIDNKa7|dd^bcJm57HF9w+v(uBJ{NPTPV!mMKZi-BobW_5Y7duEK_t)c`5`i7Uo5WZ z%shsxDr8@{;~wVHXz@z8mibMZ9IUE)rIgsW6lJh5*lPlKR{D>Zj%59ysep=~8o`DV zOj5p95nnIk6`ga@kBf6I)6OY4m_x%WxGZwI1!oBG__V!UiFaN_X1v8Vr~9JWZSqO> zGPlNL-!kiT|84gwlHsOp5-jT)Ffn8=7+6Ywb@OfB!L`p5G?n9i--S!++}0*b%kDxo z0HE~qqj6UPaGlgL9a-;^691*f0ObLIiIi z_^1!1=G8E*EW$$hMRFoqU5v(%TEYu4qg8#%*}0y`O$e?KP!kI$ampzaPKiM^Fb;XNmYD(Qg=Y;rpTu#ql(cW+t{{jIkX8sy20uj zDsXj^x&a1z82IEzGPI#%Le5e%u!Ph_m^PQ_pYo=k!&DLW7bNp;o_nf}*BYaKd#S;2 zJw^&FDlM*)&|H6ucxAwx_nlg)#FE{>;%$3%ki#P#^6|?-vs-6P!XI8|5>5Itil_v*jESFm$NVd@|vHPdPblhsmDo zkwP!(xaS_T1|Y?-`2qg6A%iJgL$eIq@pPWJ4s5wlCT=9Lv*X&G2JD}yJw}$Lu`bcPreFacqc`?z!9X|(PdCr|ch=J=NAG?m{m)!2g@FbpiRI@b*=Wlcj??bTEj z&Ce3!^Y(1|Hu+YS**jXqr!u6A4RZ9hUDcwl0Amo!-n2r9Ufep31^)ob%kS{^8*V~LY218Gv(EU0`9q7W?a7s+1eRZt61jOGsRwgbm4BB#-BX>$j5c=N!4iUaf2de)+$ zVBjmDJ;F-`rvXiG>8ODr$$t={Bcd{P-DKk^5fILP#*2aTjD;Lm%q4#?=OI5VddXkL zGbah|6SK@W4mUm^hx#9dED8B3xON(RkOI4UW`HSSd3xOAxqWwDcKXjivK+p0;nUB; zEAH&Z91H|H2soL>yIT8ea`EJ8dzhBwj<*%h2E}YNc(DJDbIsJJ2tbz}oEK zGF4VWZ`fLjfEjeH8YiKImrf}*v};_ibQ=yywB1<-K&)UNCe%>5Wm9P(6ozMrXPzH( zOrqq}X*?~<7p60Zs^a{g~4|My*xz@|f0#SnK z72=fW-eHqw(9ONsep|Js7QPq|kC@BW>wewS$5 zHeBK)Olajbl7+JB-k>(c>C725QnmgIAN!$(hI(iR#|?=;jkpn%WE~A68xPL#=Wos( zKKVZf*)hRL_XZdk1MsH*8SPv-{IZbX%y9kScE^>&H*Lw^JA@o-5MsZw++3a4@EKrE zutLZUwEwijHeB_M4|6d~-fwAb9geE$=gpF^kIkn4t=vDADU7~_xY~%a7@5oaa-<2# ziH{Fi2e1YvXMI>bafL_>J^Q=70L|-sk8>%uUG(M5{{~NXD8w9n4e2A{{e!&OmKn4P zfEJ>6b4ge+qT@h*gP;!?hKNm$wD!YpDPdue2OPYv8|X87avjPb`d{;L{lSU(n` zNewp26?85aS2aE|S@LH3U?oe4d66PR<>{@uSo5c}M>NCAj)|K~&t646Nk8+|mA5zM zIhmCb0<~kCsPl#k`yg32(>Z-{Qs3!mJ(XG#HvL%qD;?`Xl#UAOT^NdViZa{}?i(yL z>RPjE|Dn4ge~07hwP@FjkLqzlh$+9!i&DMg^jMyIs z2PyWUZ`|m&)#4-%8WiGuXbu-tpc`30TZdA}9|>WP9vk#+NZJIlXoy*1NldSJRNIY! zwhNCdD{Zb@iCoSn?gV6Ha_&AvY!HeP9<~p7NAQ4RU9mSMMHQ=uS|l$`pLtgTuI!=s zV&NGv02?s}s7EF~5Fv!3p7DKb=!4MT;C=;nn1>)?YDi)OAr6v5$1tO&UUb#%*e#y8 z1{rh>iWcN~B9Fra(zgU855`c3gj#$^Gza)_gsG)^qu_i&?ðswp+BXyEWS;fT& z*c)PYiOY@~I3SUKdp_$u-{XEmke>`E&~2n{;kAIocTgG9S-|5r&76m+6(a<*MDGywRtT_?W z;Gx5Xye@W|zWfh?8+fW=36`{PWPNvF9L4^`kz2{!Il@*{}KQMsVptljA@4i&Jg+T)jKU$Gb4z*`Va;> zNtTCs@vwi4KAOduF!1Yg_X$h-wEq1=E7ly6P^d2w+-`DtP+Xe!*4QJ_o5$(wfMb`1 z__pM2SYL=482mSFj;4d(>{?f2lKSmc64`r(1H&r0l%x&F?ghEiI4m_e@+l<7h)Tpf zq$HrWci5ytl&VU`ix8!?6FQTKUF)pp+@kO?bC2jsLQnzS{df0MSP~&bo&w;E@2tJy zCg#F@iC^N0*$kKjPJu}2*9Gvrwr3kQ^qj3)gKu8uI@E^<82egd(S?yyTZ%g;>cckN z|7MB28Ii%OzT6(-Rx-l`8|xASJ8dqlp-2Lp(6#}waIDyKzm)mXh5l}~_wS@Hbtu3L zDXeWQ`?L9WpXw0VbsM;!))a;MFFyzjCg#Na!lxrYp3T@0>!hgWY25z#^HDlSxU3N_4%kBWZj`PIAJCjLriE;#94gxw zvZ`alGn<{XJBZof&xR@xCJ9zPk+hW5@3C5Z<);Q7Ig9=k%--ymAJyIQG-*Il%u$z>b`!yFI$ynx zFM-1Xau*>ay*s)4#LMB5+Ym)}R?gbp{u3ytBx~ZiNb38=KlztAFIPFh25wr#vLG-s zQqaIti`j|C%W+CIqKEnH?y!YEFdJpl)V~wG?u*aNC*={uZdORokA8CE<5%h`aQkX)p8Wk_7Tth4lnam}*pF*njH zqhdqp`G8eT&1sJmY%aw~*LN|BLQQzv_SBv~XkJ%44FO&e6opz2;I_|eFZXMLLYv z-Ah{>F`=IAtXd8v=rc$^)wr$PO&DyQt3dQc?4!+LTK{a?5&*`(-s-A_Y&tU8L^f_u~!>;I&+n~kq_}G#!0DWqRerk9Yi>3n(770hx zeYRRvF2KPITPGCCtp^pd;R|?j)OP?mXM!AM_X5FL8Njt{PU;UM15oSKH8q1oc&T*3 zD=v>jUcj1&+QQgh2QrAO&qb70*;o@l<`r|+DeiX*CKU@)4^L1sfSCl+9>V`Z;y3{)G8@7TvKlk+jkg&CuDi+n&j?O4WFJzTHr z5$hDK`^|nror@vYuqaaNdivlWFCUwmmC2jbo!bjq?WF{Qt&fOmEyZQG7i4%#imJdw z3cW7FzSyXhMJYYYH`YvJjlY|J?DE_~`O|LSy{^zgWF~=r zN3&h5CUW3=%S?ep;PczBJPq5P@?GhjWdkvSt(l#p=TTAi3VH|c)Ys7#3R|DKHR zf8-MYQg+;P_}A{LFJA`d9>ZHzG2MOoUX^cvWA>J`4u^87& zRGr;_QtlT#pW$SOGX3<})D;bd&bPM98XRQMkCN3O`!`U*$Czu#Cz4MAA=!0^FcPB> z+Ra`Afn!(HR$D$u7j6O+Ilf6iA=BPGRD7-RqY|^6=#)K&jp?tjT0*aDY!={G;gWWI zI@b60vk_Js0Yi-)ssd|@;pz$es?udlT{hC-U^>2sw=A+~lND)`E>T&*U3Kt2Y#wFy zNOXW*ERIEel$y=?N1MmfP$HyVKC!VtZQ&Zd+~I2x(cWhxc16Y5 zshHi__G}T;#UE|u?%Y=G9I-0F8wx|QlBtPS=KfQk%;B-yM}5;=lOyiYCbcJ}b?@dy zWJeIU2NO2;C5e*vW~LiVz4TT=fWk={M@%2TtK5AvA=7Zs|T*7%ZV4`|g7jDc%bNN!# zi{yW~=ahZ#B7@tsbtO+Ll3~cH`+oLDmO=%FKE$ni`b%zme%tiXtzF-z?bX2>2Pb6O zb3dH?_7ck~z7_e^ZEQ})X{I{HXTBE8Tg;jqPQlX^UrL{&c|y?7&q{^5%}KW|rz4_{ zsqAGK-?0GLStM2=&h}BRXtjfpljZ}#=mT5_2e864PDBPpoN6^+Z}8-O$CM6fhD9u7 z{m#d9rRX*?9K`S9oav*#V952UXkoqV*y@!dK@h@e~QjsION zvQNk3M$>Pnt33|K^d)*T#dphd;r znR`Nox|W*`Z40~Yrrb0{En7GEV5j9`Y@iw~nBm_>ZCtVtMKHd=XMm^N_-1<~rhB=0 zGId0J1F(dWl3AyZU5AG6h4+aNXBzgsy>h7!S9R3&CzyNWW)O)zj&LVsZ5THUK8AI` z%vu!MYk!_OvfSDTS&x{%fwN~IMsQSt6<@EgECpgV2>o?E<>~nG^evn3zq_^J$xfE( zXMuJ11>?Qm4j1IZ)07(QfU+Gl349T>v_s(>*(nLfp8E56(^Wf{e!7Ofl@&fk<#C;_ z15ut{M!yIK+fZ>L;HH7U5A?u<%nhf~zr2fCqQwK*IV_KF)7HuwlZqDR=yH1&X^T@}?_#k(vGylq-G?cfY z$>ofBtX#WlaAi<^jp~nG-CWFP*U_&)Q%t%!96;wj?K-(_phl2zH;@#buwI$=^cdpu z|F+64ppBc#S?T@i1nQide(0k1Uys@Y?{jqeyY}BP@AskRB^xE#>r`d3yOSg-B-2ZF zJQ|(B=mPIM6G~_XwCK*=_+7n0O5eYP;I90N0KCGzEi|x3&`(V_N&dp-9>i2MIfRoi zQASK2=E&NYiM#7XVsS%ob?#=jY(OjvTGkdQtwc+ir#1x1?Z$LPpncr!+T<-Vp8Fg5 z?C;vxO!>zR6YaZG+6V3!8!+#Ms(QgLT*|C4E7=j+d=?efDf z6eJXfKkgLQriUDu9$>_yEfU1^cHoWNg}=);zm$31e|pJ(5A*f!ijh3}7tB#7-hcY^ zN3LsY7y%&mR4paV13H&>|NiOyJDq(*_rGW40&p$7VuJE zAf0Z1v@T7_$vkern96Rvpnr(#Z<~#og+(yLR=no;(e*FNG09Jx$Ly9WvN_B&_*BX< zWi%!ydQ|HY|2s$OQ>v%>TfP6PRvs?)I}>E4qb;RV&(J9pLVXw{HIQPa@lD6ruYT7% zu_Y>#I=il!{=l^7vR0o7d!W?S>kFzhlZa=g(b_$t3+fCYcEe?1PQ5kJG1Z5aF($pk zlON7v(~z)1@|!3HtgpSf_cYfPo3|&&yNeP0^?avu6=T5~%>T)GIILFAAxV^Sy>)M7*(__6jECG@3&q^ zCs0&kYr$rviIkt-t6+er#mKtTmzU$;!WIPJL-1%|z1WVQG)=@-`@gJQc^LDuEK$&a zo}fA*>4WxDEhioy!)Oy%=4T_1wkv-8ekw;dZIn(6ZTdI!1vBl`z?bA-vB@i`D{1Q?9jpLf|2{`J-<~U&TIo1r$DoiakpV;Y3gIhW?+!`y1^v{W z46(mvYS;8puzURGZHy>6qE+7|K6s%Sco-X*mtMyg)9+_9jJJl5SoLN7OYhiCr@1dI?TYy#L*g#Y+dHq}CqX7X1ozzF z12uQ$bCUzw+)7>?7@&o(+_ll&M1^;q2j`^l z>BonCi}aalSnJw8eF`T-EBrVB1K*<9aoM+>y^m?c2ou4X?jj~oT@_N1c~iMLK!p6HqC>N0=w{Fq@mAc=oL z6Ro$qb%yW$yL(MlG13)Q%v{>vqCW6x*E&D~2h$A$_CoU};l`Lc0b^upP0Qio#Pw*C zZ+_r}7Q_0-sdt{~=BKsYcd{3eoiWBa!mG2KsTxcTp}w|Xh>?tK7I`KV9@Q*edE;K8 zw~jz!kWf6Y={Dn6YLo24DYG>Hx<{@)x2JCCIf>a{8snY0P0!UNqPP3lV-4fg2N=bOJqe(q;#QEk-*k81D|q~kkO<%~x<&7d!~)`F9Urd{@enJX zC|+WW(g-j*pZ)eS5%Fks6%{(vhe;0o4$lKB$=AWFn=E@?^|9~e&@6BUk`+DKfyJyD zOtAf&ZMPkA+{D|TKSwh1^2h{$$PJyNB)LRFSFNqByIqn3P2e-jOiD_6_h);;=F=#X zpiF~HlOeE-G%w-AW=ZlHq$=hvyEr+~Q2;b@j=FUGtKBs`^gA!lweSl^mz?SH@9XPJ zz73X>cQ1==HNmRA_WrheHvjK@K8uuXAutfurx$82RQ}$&xI9y(iA5t=aXFR`A^5E1Zk)a=;@}8+ajW&(W`|kHSzp9Y{S+$qA`QPL6Hl z^W%4o0hKwqcVEmFXaO*4!e-I6N{CLVX`_-HpKF*FE8N)nW;Y)6)m1iei?MT4_B2bG z@!4~#-gD0RVaNO7zi|g@!JS)Lq8q7m)Fu(iX7wb~MO$57 z_nEGYdR*3fR+2zpF_Tz9k$5&`LV1>Ws7&>%5GEQWA2?Avnd zq|_$PyX&U9-4Kw`h~Q=d#{f@-O0+o*I?ld(`F}7Pz;zJwr@R6_M0{a2wrN}xW(-v1 zx`Rzc-<=gIg6)owD~$Uw4|#X;X1QP37KATv&v#@`rhXv~2Cf~4JFRc$?kz14gN*p(tmQe2X zn8YJeNg=0plnC!m(MpT*=C^#Y#Ahtxnt4&r{_h_%l|-2r1@Yp5RzkJq`|2kN-!n#I^3Ro>k( z^>-j3`uK|dyMNHiV_wFNPAsUYAGvU$^sYdbU)V|@tiU6zhtjiWsHrVe^UzKCFYAJ8 zMK_#AVDh^c4WM;$v^U3XUt+f?J2&=W7qDp(+4K1i9*Aex8%H8NA@Zl=Xz)!?_)q%e z8))X9$8~}=apLTl*7w5ya!bD!@b0P1(rIjCEyNMs#k3G3wg2|84?*c59Dz zv<1HNYk@}>eIKRZfkvrhWEl%M!2hvy-QiTX|Nj^%rIb>XC($vI3Z*C`E9X#=%+f?c z$|yxvLqgU;BB3H2A|sKEimXCO3fUus?Cjs`?)$s0{&=3}svexr=f2Sj|BI3~=eG(ly9@Dj+jk7TeQ!y#5tB`*69?dao3n006 zMOuAwnJnG-vtHSTch?kB8`>t!;}7u2VIVGzG23KtP4Cl(-Qxx;#>2#atos+ik{Ymj zGQ#bfWmLKwkFoyNKLU*1+7SKMKjvy|dI_v=yya`i(0!{2BtANFv%YxL!hhK8knB~J?8E(F0DMeq)~p#b=>=VvSmC~Z=;h1Tua7<59oAU~B%KKQQk2+|INWoWlq-3{ z5OTr;!DOM!C5-eYyptr1ip0z!T5Qm>;gPJ3;r&mQJ)>v9_)%P{=TM9geP*Z{;8}CU zm4T{gmgNyd7 z(h#Cjl(AwBqyJ(R9>d;{qUot>j{rcwDs%2cHbhQ-h}Nfn@2N?qD*Tiv;@~o+{qI?f z>fGu1uwo-Wv#LB0-m*IDI{m;9b5=(tjgQ8v-Thy1O0de$sMej8cN>L;VCLXWFJ3Si z4qUCCuXw0oD9%lX>1Qk*JR@0mGGqDtpJ#eofT6rp;^gOuuM}Hw+4o`&QL`;v5YSXJzn zD1E5Dsz&?Z=WcOcJ%MFzqTx}LiZ`-67e+qlFcq#<$;|ksjRqSjh$`%f7d~?C;4iVb zX$7hIkbz43HfbrlVUmg$Icf>(06;#iBP943s$TH2B!fcq=q1_&g!&0p5yX>G+fC9D zfvcaFNd(6LzRsJJ1pNH@vu|#2@M36qxMi?0Fgq}Nii(Qsh3^DWtM}jaJNWFC{u?gw zp}?_UeqSNq-bqQ^Z|c4S{R!S!Uo$q0K5wb5eOi!k!DbT#IByXrX)wG<>GJ2Nv9S~+ zRrQU-#E=ki0gx4Bvyez40KWs$8TnVQU@`O;mTS3&nBc#z1(Gsag#oj9Fy$kB|LC)W zI6|v`41#kd#fay9Z98wOoaEd#h>al&=8*+2*In@j|<Tib4DsnQ~ecFnoQd0hqm_BG5c6pw>=?H^M&hLy$j<0DXg9<K5hmmb8ym-u4h~j%0P6UaqzHvO98zn*# ze+zvl(wG~65I%r&<~zu6mAGeO3JqT+?_4$nAU}IIFQ-DJZrzo0e1VMDOg~ z`N(`&RwDOGJJx%xt4_MS_xabevoY4v@+W1EKgZA8;5FYrHhp(HjG+ws{X|H?dAMUyI0Xl(9R(H^x2&&tQ=ByP!m^XVKjk^&YM^ZO1dXW(? zo~Qk4FEcsy-PW`>khpV!;)X?_9TtF(deh{|13p#RXCoS-BEII!oABf%EagtZVOm?f z*rj#blXpC90{~_BNw%KkC}4t@bNbB(jj}&*70^@4m-66Zs-!D)HDospk~Cy&aEmB* zbK~{N`<)d*$-%Ag?9CjcWke9G7x!q(-hKOqA+c$F-Jgp5hL3vLU3mrAG*|(W{CYKa zLp|#UXq9DaKBW3V10J6|` z!Rs42q^WeJ3f@u_f*Z)bM)@fT%yTQShU^k#F{G&1Fu%HFZuI0YpLgZZb)!>r~ zl|6dtR&~Ai{Pge18B&Pa1Z+Q&b2Or1rhWKYVOSH6L}ad>1f{YwLy12}4rSv=6$s-& zlj9ixWb)zheMfX&qg>5eA}e}3emDH*B!?bV*<8Q!a3F>;kG3Fj?P^a-YXpr-@I6z< zPqLOxJ+A)`duX8|hqVy7&KXO@W2(ciMv06~eDMt1qXgsP^S1 zyV1Y=+N0{6Gh6B2(98V3newGrsixsWy^A*gWQg0&h{Fb%Pb)MVI)JO|v6Ne!uk4^6 zVO-A$M3%?%O1B`x!}JHg7QQJ5_w>lDJIK+eZSlx7-0Wajh(2HN_u$SWsJ8>s0|^JB zTAq9shs)!G=oYc|-{BvP*%ar>!0FG2&cEKdvU9WP$oQf8w4vjv(tXLcbCa?yBSlG)%K1;i zW9YEB%UBk&oJNW?Qpwk2%Lpye^ElL-TsX1-?KT0))T#}qY%vTRGE}$xm2aJI&8yr~FjR*WzgeKB+HKJB z8mI?6(UG;HX?MYKz+U3b^>{lkd>ngQ>wfFUE_tQUx#n5LJG<=tx83_vk3`3im!SThqgrmWP^sl7^>9 zeEW7ob~9l0>g(%lrzPAR6j;O?|MS_my|jaFu+f12J6YlI1wVF!O)GVa|J%B%Z>z{i zQ^#)S<_e{tQ1dH?B4$KN83P%oWImo~(R6Mu>)2MPdBHo3d)ypb?P5|2E1d3mwC5Aq z(_mj9!8M>&4geM)iPgBziK9Pqbmuz$V88Fdm9^H7m4_U*gkgDr-Dt32<|6D$3gcgo zT1TLlf)|dbmq(3^5^fgEY}Vw^j_W+OTX0K!;l}O_PfeFTcU8Z?k$8rI%|GH5|8EKV zA9x5S@|L^16SxGlJ0{(0G8LasbRd=Gzuv1#QQub-vKeMVX+ke`{mrZwI>lHlrN=@7CPR zB)68&81_{2qNOixfFu|@zR4^WJ~jb{6BnOc%l|J64@P@$o^(^+@ZYUMsI`$?g86Hy zGKBQLv5ZcR#wWhsjhmA;aY|SjvB$1a0%U&r8uR(zuVQ>$Or-{lTi@2yXup7{iQ6~YUyyDbeh!gPSuvh@~ggtY+)2L z8o%6PW&`)eFi=%>SVK>%-OE;Q{KG)S${CE><-gA!zDYeW{%xP4GtEYLp(mGqUC7|V ztQhB3`ipY=w)8Vje$7r>434wUNIVa55xL*Q?dJU)p6ZluggzO1~>xtahi|58+7(HI7RA=>Y_Ri)uW5&BeSwS|zoITeo;NF6fGn;K0JK$0=l7sxc`e5ci_^w8R=XZ9j%W3` z(W?KY?8Q}yOEgK{GisHBbdCtyVy$cX+gK80Uf>kQsD|gCoaIXZYSl%*Z_}-m+I7;f z%q)+w#P6TIcRi2SnT`u;9#6TWTvSUvrtYq~sLj~(ds&#gOWgx~N^hMSL#jQ!^)G8K zr-WO}=zo?QH&29TAMU<&Egu(&I|e$uEwto$JTSy!e5zf_R6J)9RW z&X)MP*FW5QMFL+wf{~>==hi1O`&?Tuzw#)U*>>htqt5jVyu+i+c+Y0vOSe9`o8&sg zf6%kV5Z1c&)YMWO%m5uA|p33fQf%$QbL zEN<{da(e5|n5lai2f5Gv^y4Hk<^^N%JC@Urqi(cpX+`zo<~=)*asu!erZ0k!#`G(I zy+HgxuO~7=j|9K+O=e*m68pE&cp*+4%tV=}TfoZl!& zFNdd%vv2U>XQ+Q!DiJR9m~Fq;&yW`kx1Q_Mj~Ht@*=9aY?d84!tFn ze1xca{8%Me7dzXlCI{`ctC-#==|`d4hDCKFOh2H)*kV7KBa|y=_`?R|e(jDe=z5PF z4QY6Q4n3GY-B|YOaOxGu{5?Sy4npDUlXm!>NVQ#l`Qdam7K+65ubnP`rE0R1vdm6K zm^xw31R*5fST$bc>Cu9v6h9g=R%VJ?!!yftSReL@NE@5y`K9(txwl^aQ?@yS{L2g@NJQ`=sg0j zcExNvRUqI2p9+NnEf6U&i=D<}n|u2ovlUwx*w!Y)2B0;G>84*VbvH`cm?{TLUxtK% zy?jy-Lu)UMtKDIp>@!Rt=D?-|@;-BGmtJg}(_$z8GjTxNCU=QPx?XlFq z9$XaLcW^L4U)Fx#1wZRegNy6-3t0Zx!BBGz45|;d z(YR^=cjGrBv(VM5bGJhb_9d>u5en7qA@gtCcAU3 zaT%GsY_L2*O=h_{9taY4d-EnMR=)h|agYb0yfUA>CD~LwI=}%TfSic#{dtmij7S*e zxzq_#B#mEe>fbBkaedp`Wh9y#W(inct@qEE747!`;oxC-@(3(uFd+CQkf{*cg2gAr zXSWe_)mZT3!rvX|&g^j-( zUvb0w(Azr%Wtruwe+R$HIc2(+pSy#~NX6N7TsoQ-EA8BPc71UWp>L)5Qd{?eEd@2Y z-a=cn_IQL8QV+pgAAgcXx%2)EU@46A zdLEd|Gr zF=KjE-@rq?BTM!l+BMGW)LDEupfFn8{5YuhE#GJlu$!rj$gU&6yH;?e<86Ki3Y^e; z@G9YGOdPtm5hn{|?b~37ZNApAoRSb~MBSa}E&`8{*OxC}qUKzHRg4aD^ZJ1hamrIn z4s|)zze3%rq@IKef`R}LPt;zxxi=wJgMcNC2Tn1|ZZOPq@58J|(yn79cE?`L2&ryx z6Wx6v-?y&I!RkZ)juB>BHg#2t5wGfYz}YX5bwj3Z^S^(*mG8;geCy0AXvQQ8fix&4b7I-62@>0m1q%k^@Ju>`+lSx&}r?;Doj0@Gz zoDm}Vp>SdvB^fT~%LzJ7$Sz*SDiCCHMUOn?psivFe#jo9^l_$vg zA47zAc2(*yO@mJEM(Z)7XNA&=KdV1;ILpSRxfXVqQp_O&5K z`rP#P5C3etll#4H`3o-cXIk-Rg|)Qk}bCNrwnT=;7}|>E$jIc|bCK9)0yZkT99#Xu2p~f z`HgK^{jE>0E9$22KdQi5*adsD21% z%=2HNfs{NB*g!TCE(_&`&~>crXD`04zHy%A&0R z2rE<|;3=gb;s?!!njbR+03cN)ulv|u-3)Vlpd_Ij9qcP0E@Lt!Ah|>EG%KR`>-25E zlHbf`xCgqA-%YtY`{w``^I!l2_fFt>DY)2R0bh}LND*KcP|;8qqHRRr9#ITD6Q)98 z!9@xL)+}9az2Wxkr_b*ZG>me+>L0{~5?Xg6t!D3ux(7G>xDk`|(`r=|;sQnAwfzYi zYa@G5wa2_8NkT^wk349Y@T(^IE|(MSp;Vi#ESz12)x;gWJ#e5WX?Z6kPfx?8b_oEQ zaHSLH7_;1AOC7!{!rHI6wgLVVHyK=y8|V@)v?Y`TN%Q?f%Vo-`xRYTR*Wabj|5=#NN4<6Un*Kv@6A**I z?Fz2*=f_{1tPDPVQ*4qJ^}<3=#KfrOY9k^LLeSRSDXFc{d>KMjfn7!Tg6C28nC9lU z9u5K)?mWD@NT6C}TeL-X<@1ZbGpWzyPU;z`9~Y+hi|BPbm2}wS)`f}yop>*oOZ3tH z{PNkHt>!=*6f0L?cx34~+@nR7OSe5J=i26cm_GA_`j8qoA{qWjcjID4#Fvd*%9V4s z&%|6}jjEJMG|INW{&8tXu2s|i6HPEN`w9mUCpPk`Q69JmMjN(_JY+ObhzbDN{v@0O zoD<6`Sv(LWm{W8bv!xMCLec$ZO985=%f2D41U(ZUBZJEOPn@FOb@wQ}$A7C5Ws2nR z$}&L~Ha$cXNpC&2HvgZJzpJ9Gq2Uv4H5(KE078Kq^732+lDjrJ8kA1@W(-iy@htc;i6Fh zbVnfvN`PzWzC}{bWABX>E(;r4{vIftXu8pgbBoO#h`kwH-I}bs?*>UQ05#sc^AKNH8Ki+MyY*OIA`lRbiG9l2bdD#wvgz^Wj)ig z9&}vGRMk~dKiwK$INQbFxOh1q-wLUMMYuj`8?l|m3j{~#aP8|kltIm+K313U>1Web zXEBi07vo*C1|g1C`pQ@jp)*6P$d94#i<2gvlvJWNYHReTb4PjE;@fG=Y|o>H>iq0g zK98t-a;hEXkez-vmPUQ@AwWGOT3@(r^Va1VwpQh}3p%Vvm;!PfGEJsDhp0gqbbzHY zv&Bm9#qqzNI3&6nV*3MiaWQ{8mnDYJRBm8PY7d!-6T3*u4%TI8Ne2W*7oDAPxv70= zp!Sjx!$cqkFIm+Yx74tc`J&ry<(9GjSnSN@tbh$0lP)vBytVy3a0(*eB3bx2B5YnwE@vk=n2I>lQ;>D&rQ&)MdmVX2(G{xh1hBRPJ`_Zkd`DJTtmqL1t}|0 zRqI7Hg-o2J27dd-fzt_6Y^V|i(4SuYBW7M-VY(XkA7aaMgnRY^JelK|uV_-5$VV9` zmLq(YzOER>VQTMrx|QB$vN7 z$Os17(*IAdn7P-e^dGSQRuX{%G`j$}e!EfObRGYzsg{Mg76R@np69WVBB`^tkKN!h8qCG^l%+P=t?i362>l3tRW+mh^_gjHXBWfQtT z<-5?OAVXx6j`_P%nxeljm_bgu0=)Uy+M+JI9rH7cMo!4krLKOml#-ED&bVTQNg`;Yk ze#fxz=aS(N>iSnZgm%_KruN}m-|#hr(lqbcy9xfsUP<~5i}xHZ>gp7I(`AnA4v?_ zic=`y0x9`DwxL|}9QRYjBf+0;2{~MQE@$7) zjvE8~=$AJ)rlxcejExxA{hOp(uXJ8&>SY{8`#}j9OL8b8420|M?OmrgtwV(;l5s1P zp1UZ|{HUJZwn>WbV2sj#5WtYodVm7MBuS#jzet$eS4bb`;=D0V81TP&g)@1XTBqr_ zmr1lvkNI&+UqG7J;tYPOku~7Mdo?zW`GtR&>r(xEhypOK;DYuyICySN@4zknS}7x+ z-71C@Xe4|oj0!Q1oTFYPf_%_VylQ-YcL_t$){|^kwlF%^v6rFG zxE+->GyJ{6@$R=Drdm>*Ntaud1Ei~u96RA(-cqtCBB}MDOSKbn(A6_h`6I~3lW>?`V{1=l-y0A$7 zd}qe%;UVZWE;~6fTS6bJnwant=LW<=U9+wjv$Zr3pBpw%`!8H^6CaoLbc*Ko<1Kjg zFm(}k&9(eymdPvN^FVB4deXTsyr=#_pHH&u?V0^6mwMrs!^NkWnT|CBKpdB$8R0*@ zn?w;uUT1%>eY4o*1a>94XCv6-4@hk;lk1S+zg>=g-zr+l8JO8p6UxU3=X{%lVRCx2f-EtYdryJ{vi3RIy|(n0;~SEwjx#lRK~D z_{5wtkoNOpeUK?7gSJkhB+f!dXC;enagc(N!@(cQ6GjaP#!R@=#E{sb^qFBTDj!W< z=#&nnMxM+UG0@`*PH+im%rcg=HsN2ZQ}ZmT`Yof9HXciTjI|RYgbY)MeR?8dfzPR1 z#zSo9bwt+l-eWZFva>&nJnxFZj{-^1b8Q`G%)%G30$2(Kp#`SjEb-c&@bheTEJV0C z^qjD`sG(ow^_6}SD;4w7P3Y~Xz8A9tkZhxlV8HXjO*a!k5p1xFA^t-x$u3+JOyHQo8@Z-9~f#gpzZ*lBP;!#*qQBBxU89j(of z2#-7%u(*+NTc|OZovTsAWbytjnTf|b_yZgaj! zf8yWqSgaM2R;O{ZVov_ROOk6Vh0jkt+LZpm-t2m=sITj(bNNR~5d6r+(=S{K3pttz zNqppa2mikmPs~fO#`<=OUCe3YAWfxSHrk7})GPmF8qVFQ{|cqE8v{S9)k1;a>|ELX( zUR;x)>WH@#dj2`X%U_Q#?z*IEYrBoO1XzX=T!V@_-T-Z7NxRhAu8Oh)bhmGp3mZl= z@)?jO9hNw(2tabC zRJY5qD*FVB5MIuBjiCFxE(SLCIOUwWomE}_5IHJwW%9Y)AY)gBG-)ECmbq(0PK)PY zK+^o3FfGx;gV#QqmuN7PzTe3@P$8C{wWh++uV?Y3j>N|t#hb+snmNR6AG7;>#Uq$q zIcL6M+O7VU`9t70jRWv2)tiSbzdUlWwVkL|q>;Qm-hg^Tu-PR0G4p;t#-O?uvX3@j zA5z4J^%SKM0QbTy1tmvJ%zc1lB?^eTha+Ju9e@O7YT52F?;Am{p?QKviHP}$#17G5 zSPRws5tI%qGqElXW-d(qW?-K}TH>4TOxRqGo~U*RreFX-Z!QTI*=7FPeP3?CdrbKp zk9@K*k^z8$`Q>qZe94PqzF(`cF@W9BGAWxWUDo#a6O!9sn3ppgvlW| z(Bt*h)Nbi%Y&Xr3(v~fr8JsV=zJ0SFRg9qOk6f7up0f5SEkEQw~<}l(6wj12bDk-;J z#dx#HUQOeEmdXe{H|l(lTyTY_x-eok0zqH$wjXZikdr+F$rnr;i04|bu`c|~%(Ppr zM|9-@+KZT!JL049aud+VK)w(XB0?8UEu9OhTWm40&Ne2)m&z-QBIz!bV6M=fVCq1p z{3hEwrU5-+O*)E6G!5RF>iMAJ&HN9w;&C7 z;Np~?9%v-4F8G|+Vw(GP^+zVl92;xwo((o2m`U}+jHynV=(kszBq@^O3C#O^Xc-Ss z1o+5=z`&0y%~(O`4Iv9&crNqF>460_lM}(18AP({qTYQd^75%mHtJ9loL))lgvO)w zOS##nHZo2mw&s5zGqq$%c)9saJiL%Y<_;o7HKX}Dy!4CJ-)zGzLux&IdAD-3Sh1#sB;Oey;!h_g|lJgyWA<~(KUtWm$v6<^!WY%>yU07Ff=Pq$P(ZNA$s?aRdR)ePw3lUx%$`i^J^^ z#9)vEh)nCFKY7_WrvFERwVKC7&y9>YkOXm@=&SZY;RdBHBpXTow7o1fD`lYH5p_!q z#Y(;B-Nyrre!ZV;Q5DyOg5OrSeTn1^EaeS8YHXaiglS4O+^)@Mr{yM+yp?e<*h%V~ zefdFgx?S+fGaJ_$$WecoEB_6QJ0`{VRo^<)cN<-u-nGt00Zu{f491hD9Xy5#?o?x1 zcJbNtl%lIvA)W4J_tscxhDwMtt_fs9r$GAzk{5IOyQ=tYh_Ws<>7KQdpZ^*DJaDFX zG*It)M5cyn*g|HSjFbsaph7}tT)^!OoJx$;h=Z4^_!q)|oZ{dDYxSRD^7uVT`yO9? zGG?@nPGvNwB_`@lZJ(M(h1aVhXsT_RMZ!&4u|Pwu*!t|@#V-e~M_+=9 zR@0t8?l=CCo|`_efld*wL!b*-jR2G3wFFglXfW(!`je&JkL#u-d6`$yiXqGqXW>U( z9HvVRe~_z@x53W$ys%2qn?+1Vn((j8$8n1oaf=L8^-VvY6t_M7(e_E*J*F^y&`zG= zLhZ=e#*pT^mhgop5f~?PFOGN8q~O`R<#O?V+uXIz9v*z9P@r&tAr)%9SNX&LX8+%&x@kab3a13DrG2;TSQIvumZmoe1&m?!4f?2E}o|Gr3)C z>`%===w%P-cw#*n#SI&W-i)pw3lpNDdwvJPux$HlC--8ui^m0ppNsYR(<5&b=pqph z(c@2lexz1guGm641lCH(25R-O3k_M6gv?)QpMTIYg< z_F8?R3Mjeq;Y(0xIU#*|(~f^0aMnvFaS}sc38VxJ8`eKk|2#Pp<{--BLlh0@d9%nr znPz=!&#;WZPrzb~n@&;^C$O>Opq-AYSjTfPrS*XDy9>vep$r!3YIWNz--)x-Q5E3yU6T%lzGfxJ5A)gwzl8WqxJt{{DH(jIa&Q^-=2O> zC#WW&aeN&$5pLR9NBAT6*}p7@s$hLf*|>{q5s74hC>DRh0Uyv3GO|I=X6p3Ag5t9C zy@P*vfiH8Tp4ZlGU$Rd1r8(o8C#Fmp3oXOr8UD2@z@>n^#U0TrM7pY$)m0cN*M~^6 zu^qt4H)}}Dw;;Dm(57xfAvx&w=sIX4y@sBR=F#1~?O=jdquVd7YYuA54$HCsA{Crv z0NgR1&(9Eh_^IhH;Xu+4=bd0Xh7@sDik7x^wWE$_p!?WUqKe%$VIMmg{dvGCCgCK% zl$6xJYnxNT01DAJC(|n4_4W215o!T$iaQ1=+yJF1l=!OlPkC937>O7K*UQiv>f}~E zx#?4UyUyC6BI2}E;>9eJ2$A*v%o^v0Ioh2gi=K*UP|v8{Jj5`XmbjZc67>BPGc#^r zhf&e1dD%K;nFo(}IdRuTVJ*JR(0TVmjNWP|oa}KbARezrhXHO2n#!@C-<9anN$u^! z!fgjCqx26S5fPaw8ujYiDetZ?RzBSE{e@!09*+IBJ5;+(%enqDVWE2{RW$8bE4pb) z+`t9+nN!?|md?5K8j5W;^#z`47Z;aZt2Nlx2?Dv@d+NO9B2Tl&0ve2e_k680f z`u{2EB@*zkfM>DNhf={Pjm+1G2t(${FjVO8Ft|ekA+gWT{9=KUHVK5m&2QS=C4#KL z?)54H`<%FtCNOZ-O%eIw38ANYSh189+B=eN0bgZ0LKa%QFn~X&GMAFfNlG1hX zS@RRo3r1(Lfbk)h+GVJun`J?azOXyEAZSc@Oyxyp^P1~vEAKhmGlBVvB35tCP$GV$FvziI$=bJ_~0^t zJzs;27A7t&{Hs5J0_4_Ue?&W=eN~x=;vS{RT*rceOwN$

Xn_Q-6yVD|r&%0g+-7 zql;_jX2G|63Wk?c@(XPc1KaOB_?U&w&CKq~ljWv0M5L1rHlA=_03dJ_Ms<&ZA>C0q z5}U^L1d*Fw=fd=iLp$AcRdsouR#`qy!$;d!0f zMzQl7Hbuq8KEy*;p!o?cd=?eA z^`xrB_4$5NHN5YLqSC#OA`^a5Luf&rAy@%|%Z5Y!j>S^=+uWC6r^8+0{@ zB?AM!?$f>R8!VLWyGvekmFw0wqU-sU-j|RMkgd@chCCbr4fu7X%I-JSIii2xX12DZ z;*NqyFjM&_F>EDKW?XGg{E|uyR=efOjJl=}fM@aoaxOrP0i4s~L`8(dNi`xZfUh*U zeZy4itTSwQvDp54F}{uBjUa~t+KNv@SNj-5*29t`g(BgZ1x z30P5gwmeoaesNmmc`P_I2EQXu-XzQa!4X5@y?TJt#ccO zISZ&ham)kRpQ_J?_?4W+?~b&-LZw|>P3K+3DK=qrY-POay&uMUvg%K6u`i7|?Z`#@ zOVN$cre346s5U;T?1HJMfScMGcZ|+_JyyCi+~wXk73M=kK%Mi5@1yB_p~Z)PtYO@a zr7lW(BK&#FrB9(_haT5!E$2@2*O%>lkJ#`=OT$pytMIt4&c^7NH1P@`1iEmJ zo7IoH~YVQ@T}W@cuE{6`=nuUel*YF==}f|@jsnc2IBP?R9UVGYSt8l9PwXL~q~ z=Q^h1LsC-GTi_{~v=`7$z!56ZGmTDWyxj?(XD(d6dbI=0IqVk|?pTI1Mtn&z9!_=e zmu$bbMF|^R>%F}9l1POg?}zc>H5*<3sLVn^Xyh9K=z7vdZSHTWasY9?%a>my2@K>P zhilZhms@#=G`mfn_*eA;WKwDDF*org%%wWwbZ$pUktU#45a73wA(Qz{+2`Ni@jMVD z%#{3(`I3K#>CykPf!P&KeY!;6SCne)>q)o7G|$CxL-yVa0CwPSv#KpF>^|Ns_zVwk z8y?pqAzTzNUhX$wq-rBpd#v<#-c(yIL%jMHJzU>Nd_ZZ;9V~iCxk=)BY$un(96h3; zp-1r)U3o&na*XPgWoCb(TZ8^^{WcSsvfxhNEEnm~yA#Fuo%%{#N9&CqZT5L8_LFL_ zk)g#At-UoypCx#u(BslgE)?cjA)gh4-qc!}WUtSzR(sYG(f1 zu=Cu(=G{0B@4@(l%K}db+pkZ-dr>(0ErW1mcpje$y`Y`sUAK<=ymIxLDOyH!^hOf# z09xHG6^6K)FJD+=ucp9pLP;DJMz%~$$L=-%pTYu#31_@aRe~pZEWx6zxp8H0Pk#wV z$Mm(O#D}@j<=5jk_tTK`;kq!>Qo1nXvB3TB_Qj~z|93QI;U2lWKTBT4q4xw(F7(l? zH8yp}Us~72a;9L3Y=__ZJrTIFY%7GD3cz|3G18K+TnPa#letw`F%=V)maid9na6CY zhk5=2ae7o5{_3_6JNxV3pj-e?O#Kyj_GogDI^Ebv$)6W_93QZp6xuE|l-IqGx z;bIVxmD^`v(8N7;EH%W&+3GX(Opl!$p(sJ{en6k#`<_u?po`!c8amEuvx%?Irqk=P zo5Bf9`tY3S8i++ool$MJwg=M^ykXIzMbHc0>>e$Un1faY8X~Qq>OI00V?!_h*Peml zs_**yfzG1`%f`p+ZzBygxhJvFxVhy&yM%z3cjOX-z{4tg4^kRN8C#!f zZd&=vF-oM<5?=`-da8t9REgr+!%Ytz08$YSQ+~PST>kr~EsFiVyT{>hJJ}$Azo}_C zND)crI7w6|weaNP#I*AFOL)O;^1M+z!I&vz-&Wk2_lvRzzft<#lj-~+YHdQf)+r>a1ER*@la*m5S6GwHH(4Tk> z1@AhO=nPrpZ>KzA1FDbaS)Fq-bPaw_$(P~Le2m6$DtD=-M8a6-(sHQ)-a!AXpXq7T z$T903^gqF&A?)!@8-3)mw=|aTNxI+3_*mbb&hV9XHjO(G+HcP#7to}{scF)6MDZL3y z*0@4Nru2LsX+z7o6~|WMXaG{WhRL$pit0f{Pk6L0*@P7PnAV%ipa~{9 z_9G6Mu)Gp?$6QzI^>nS^%R#$kvL7bz_|o@bH|>7VN{Q{;znRMiD};#DMJy_@52E^I zZR^gcFLxSqKBBixgf2PfaN!g~J!`8L!+&7q?|m)dyAMmeN>n|o`&#Lt=wgTPGwWYoudy9jcm%gc@dOVCL-X-Y%F`$CRk{pQD z!_W`n9l;Od`TPNL8|urJ4NPAX{f;aIv=xzj6zJH1eEawLfV4|YP5lrh@5s^QWMB}c zmx4utyj_nTJ?eA)wmNgalfhB<6=Uv&54wVNf}a+4PsBGwpiRE-Y185DJh_ONqo706 z{cW%qco9Hu?uE)W3nC-I`!Nu14D8850G_w~*smi*4N2KmKlavD?C>Gf9R=Ak2W zpLwI~X}B6V$s+@V<{E6AB;dg~>-;KYj2NUYff432Ni~Xn`sv(;KOuvTi+BXM942Sx zpbS<8#sgm;k%+Q3!y*U~0mdibCToT_(bp(C3pqYYoCxk*^0v#F?bGiq3@Szo`DC6x zF>XB*(Mw;fq&s97o7%5uEKg!(%q)o#?w0fEw9MH1-+(z_6JO)A4_>=_#5d3`<(qlL zIruyt{IXq4%%f=%YXj%$`*nPXIC*whf-ScHH+?Z*9b=GbOV);W=OR{@fad6`Xw?V#Y&G`;{c>k?q zu(s8pqyWzh0m;h;?Mie_H}5F!?}&h=^9BiIxg?k*?RjGK5aL+6&I%}KKBL4XLP1Wd$8yXxi_ke)q} zWaLgLhrjj*NnNqtc`s;uqfXw&o|nZ#lc?M56xg98**?TwV`EUKb36AU$`PT{$gJ8B zl2otMg8BqJ7}4L9_~g9&hNsagDZ3l@@I9|(>#Xn20;xM;k}875`cARSab!pl&oAg} ziYI)PG4>BFefJIKutAQ-18V$^Bv0jllNlmOAb%?+A?-@xH%7f7R9fNJ7t68zBp>@X zje9ulAY>uUp8q2Fab^%>%fHCT=1pZt&xf92+STcbZqN^+9YiAEmPh#ilSUAOh6mi3i$0_+$hq8V&&Mll+c^c8jKtFbG=AY-fM`H+ZLRn%s`Cf8keTv{ zu|2)Hp=u5n#=gn4>eH`9B$qhJNxy6yKqCwJ6Tg1#M-mhMH(w{>r?tCv=_P^4*yvoA ztSbE=YOS)>BFKSk#5wtV#%}i&e@NZo2Mm{ zuPLkmi6!}fagE_C#{co~lY42-QRk)24YZ=grah-kdwk|ygFQyS2c6z3Apw4mqh{vz zH>~(@F#uMOa~`20I|513-p^UJ1KV8u6;>m4i+6Abf_Ml_4WYUK&Iau;EO?96yFvY% z;cmB9MfvY=yWb9GVb_GiILohxA1mVbRwVrSLONfGsVwZBFG?QYqb&6noDl2w{Jb3E zvH(YK3F!%cYrJIYdiXN8Id|!vVK7qfalf%dW!zt_&&R!1V1^`VWH(-{%>9^URg20S z2qo-Fc#X`*k4LYg5U>I8SX2)U=3_X%m4CUfFZ)np=l1*eZ*};et(jm)i+V4gg#y7E z*2oZx;NQ^MI?Vz*+rP;Z&we{*m$sm>WZ*eOCxf_rl~Kr>d&b+okls$rJr=7fiBE+z zsW%~2hV+y;_dR0q0YS4>m0|eqV)&x(jxoqg^L?Jl0+j%&>`3ut`^RmAn6L^ zfCf79r!LK%7jql2m$UxUW~Q5$^SF+L#1xYlBHU%96Ob5KW($}bH*>D+K8;p7dZPvKXL0Rb#oTo6hTf)&R}EwHl)gvlc+xwiG+{a>{&4_UtL@bExOpo)`PUH9*vms*>8nX=A-pr;zpoB>W zkmr6gv&}$L?ucJ6e4BG1S{@^V7dBmsU}NBiSX&5&uI!;itS!-$R`6*2U!72Maxs70 z5WxXFSDWk?gLWnz3L1tzN6p8tT33+iU?Wra>9GFF3v69ATr(PuCZo1>4Ttd&bgI%rMn7X;7$Y4K@WP z<2+ykbW}ROoXY$jSdh_*$C^m1M!$%$0RvFRK_&GLVk~>$3C#MByg5L;h9Q*V0h91| zZpb5TB$jZ13S%{D>!&6V4QolB7;^7{_OJtc*zs9YP_bvmK{ROfWy3$1x>RwzU}Qi& zfFCRbq$m-JXs>MV_h&FZV0V7<^r>3Xi^Q9cMeb>dz~q5%16(R*DBM@?UU#W$=}44G zQj>~&N;_~~;naev5l?&Hx&4Qw;$Hg>^cxsYeYoAZSZtjPo1gP(YD1!W`)+y;UN?A4 zmP^0C(&-d;=*YyrwSK5L+xl|dfRN|z8Lfakg=dV!&E>@wBIQq&SD41^f!z~kyM&pP zJH-vijsbdxKJ z(aKd^hgZ3~ zX@}Lm!k{IgNDsICk$1OX+8JaG>NHv9G%m~T+I2p3&6{~5(O~97RF}-UdG3sOY0?gn z2-m-6n>KtHm)!qf5QF>hMzei$ZluzOeTzmUbSHXv@YL@MRq zw=rTWuCV+WLv+1AjuY%*;!ng-O%BJ9>av6?4G@ zqfs4G=r;YDPEr<&6%k0s%1&Z+Zv>Zm_W0<#ucD>_Tf%%u&`FTnIBs$39gLD&1)UB~ zp&~L6AtX~6-)KlV`UyK<3NM#+Rf>t+&%HQmsJ}y(?6S`9-ymNfk`yq<&#H0}jN5Zh zbn6=fXK;DIH&`eH`o>OwE@J1SmCK9oETNz*sNTHk*Q-zU>wLZJNRA!5q0+K={mOE; zhFnK6P>P|MbEX~7lr;(8Lo$ZDlGF=85bDh2pu$}vs=Octj|9Y~qwYtK*77epb?Pnv z^`5nYGv7=9Bq+~u;&8|rso0vSgzp?bX_%Qa4t#o63Vc+yKJ_tsp&w3>9rFM+qr+^+ zyh#ig=;Vda(M(JX$TJ+&=8C$G!CVradT<2|Q-c*IC3bmA>*W?95%=_WmBUoK% z6Ee}@J)>E@(nEJU;crA5mMRut=picvKW{CF^YyNz)U4!p_)^p*uB?+#i<3q|-Bh9h zSRlev^0vN81S z9Ka-M+Ia)eW|&N^7ijJkQtl=Z3|qGRxK(v0^f*i1!sBA7id|DwPEE$~X|t`I(gizW zK2*G8qYByB*aXw45Nkoh#0pdbQ)D}SlBnNX-=8wv^qvwFBP9XT6JXw5aaz=D`~K&z zn3DuQ6uklFg~{_%_d;5slha_6&-q=EyoNC}>K_VR!&t zVH=%0gWptwJtO!g%)8H-wiMmuu|&bBVDZrDBk_uaYz zPXL(sSLK>FL!(prB7=U*;pv4|&%My2OfoKEncCF3*0~kL_a!MLCJ2Ev<`hhp07>yV zA3ZaOjSR%p|FLu>;8d<_dr4_mN*O9Die(7N6sZgi%2I?3nKM%)lp>si-{MTs=*6L{j0H^y^8IQnMK#l2gDG|bdD{sm7=heKUBcrVlS zxEy*_05#y37tDpt`j`(0)*VR+Q(z2OP-a!l_?Y$}DdU8}v`UbQxtb{h-E}|xIyH>? z;+0oR(>)QX+n#q98a&(BbYU>xP`la#g0WbsUV&9AaVsbGPo`9+SGvg^WtBV-w-~wO zn^v{ptIsnhB}XK}{vPKA9q2!zpa3obo-RRz|0UuQ)R{y?0V)RXaO@uEa3n)Q$7&al z?ne0qe|E%xnl3Zy3=7;UJdBlP#=kx9%U>;8ee3+$vxm?S5R@d_q%XDHQM~8#xkWg? z4r^0m>n>AahK1=YW9_H?ec1m7HGXk4PAC?>x5On69%%|w+l@q*`$lBnI^E6Uw$>AY zChvcdjtD#1bGnyGNbWoy4`Pm+fpVI7{7{}Tj2?GMkjY%5P+wNiqh8s>ZEd`W#1HP#8;|~C>{-o7qKbQ)3KDL#8yL%}EtqMf&Fb@>Whz+8@gRgn z4P&zPjPDQzJK~+HmgAMx&r6XDbWONiX1U^!u5*Ni44^)8bAn~4THYFUM_>3F1bV6( z@^Nc$y%T{WCVes$!uIGRw1P~;_BXaieXR1v8M3qh`2nG=+RAV9S7fxWRqFcid(Qs? zOZ8SgMy3xT;!Q@3uhzAyuZ+ptfRsma=aiI?UIsTl$a2+K(&@Cb=ZBE91K{4sh#8b^ z`%7i3wx_>{zS8~qw3!C$(Z*wR#f@72k>|`SqtDx|c$jgk>o^J~PAIJZ5sP>jl$-Ty zd)NJqy1qe>HD-J0>9Ey8l%OMFvoe%=E*b~>s&b=~?JBGik734swuoPF51n~%IF!0> zl|(>DLvHx+okpD&J$@=D9K|#D?yOOzUoi?kvY}2T-6(uqr7)Iydv7~^m|k;pp=O5G z8un*svkLuI#_szpubtj|3qD2M@oFfdfUXb`4qj5!$&9fxpc4=w9@bs>snd8@9=IFe z-$L0jnOh>hzM8GBTWUpxVxu;3Yx(jhny`rnF-W(0oSgAop2y?yxxZoNLBpq>8UoY6 z25r$tU=!Dkd&F$Jyh{3J`u zaT9bDR*P|Cb9((Y=G!e3prt3$gyNpIt5c38F| zHk zHv2(4pkU8eq)HsWki;7ZF5fk*;fQ@DaC6|`#K3^0*Mjd&XrDXP8&A`ktn_5Iw zzEv;EDx|$7%m_u|L9ZaqX!wB!jd!`vqeHRO*Z8#BOq(8WocB<`iWJcc84jvCkzO8q z2N>1W*8QyC!D^%Bc6g9DxQsaOytH}FP{DI__EdUAK<$n${yDZ51roA-67UoD@OXA08>RWq8Cuc>oe&~4pYgFQ!2*9Kji zI(=d5PnjKyCHzvon|n>+hZ^{b=!=0+M7 zbZ@1d!3%zMmR#DkS=HtTaaTbUa<*{N#mx%@vh^g~0`|;`+@3!*jezEyE_dHUw8RjS zE`yZ0YNg_@gJfPAed3MjmxxgrezLYHWxvUJ{CGUmu@p1-x%SKwq38Md4)7b^mtC&o zkJ?<1VYq4iYuVb$oB(ZhiHP#@@@>!qz+V*6OK3dH@`|D4Mmrkmz|PEsZ{$B*!;}o+ zZLdmvPsuh@Eq|7rFbb#&q$(u09y1tu8r&P=!Nw2SEcWBX`=gHl>!_Z}wN9o#Cv#ac zrv#r|azCW1`_ZEIKt5gNDD7IHg?epMXx*-dS*D4qram^JI$Ux9Oku^Q)%}q z32s?VpC(V63to7id}p)|)JeQIw6J|UAW7F)kq}{u$s@g@^Rkl z^WO3{6x~SR98`b&Fk|-sqdiPYT873BURHoFVVQm^dDkjMbWsU42>8%|9R+GVCH3Yw zx-Y^40(L9s$i@M=7ODp{vB>K%#~TMDg8dNJFk$@DEz-yDLf~#fQj&Sg_)KxrbI%20 zK$;MBfR5Ia5c^uTJpF)_o8NyBOh`=X-#gythU^-ejx6`S_V)JC%YEPGh^Sjmunf49 zC*8H|li`#0vgAHYDK5gLAeEAR4cy<0M3X$B`+LYsb>=Sf!;Wx))(?Dt+ea681}Z?g@1#>flpPKri5tAtWXVM+Ep7z85TFP#|#o!O>p{ssWM$nq?ry3z1C{ zC~r`4!$lo0=bd>4bOR8ELxlfHRF);iaHJ8ka0$c{li43(4=-RuKyqc!u%f7%S1z`A z*9^PkPa!M3G|h+a6wsp_qL6e0iuM8HukLiREOWEub|Z+#LsM3 z{6~(yPF4K%VEIwFU;2K9?irvKEE%hCYIR;~;wT}m273NSW7`~qkQcC>AtBS0%9m^& zIL5`Q-}+(2a2Bgdt3P!`@xc|LnfrtoUu^rAeoLH$=R<2@`lo^Cm93U4<<$9Pt`I8ci=h`Ey}SRj)8p5Ctzp@<+s#Bg z`_5=8^+#IJkQ36`@naD)lGnl89y|A?Y5V|mhsy;v{K$0Gilte_YF9(UvZGA_2a8K* z_{MPL1^LVQd`Mkb9NB*d=AL*Q)wm$qzE$EMA`ujn^5xS&z^1aYz4snM zLrqxfBwOS!lOML07?**b3_r0?6a2hVDh}u^`mLi@R{WrJf`U#2-?%jjnrECHUV%uG zn=3Io1@?p1IE+MP8nRA>JwWIcg4-jgNV!BqHRci7IG(nA~XPx z_6d#4GuK`rSB)69Gke3uB41$vbFO%@KR;Pk621cQwt@xlgM&{NVE1VbH}%8qn{Ykx z|2s^69+Fw!?ppzZm}ukhU<()Vz!rFy_wbjl9{3cenRsN`t#E;? zX4SA(ty(AEl9ft_f6}Tq&Y8~o9f{DkaN2^Z0(E8BLuw~5PaW&cQIVtmR4dw{u~p)6 zSD{f4i@=R^zSz*eNKaQ6k+bQ}O?b<&nB40;{2y^Z&B_u}(>d;W39@?U#PV|Euo}Ef z51L_J9-CjE0LmabHLSJN&qV{_Bw`D+{0u*Jhw@L0;$R-B7)PJWg~P%`fyCcv;0hCV6@O4K~It&jjkoTq-z8%J94FjWj?!64*du!Zz?Q$%)NAi%K5M9Z$ zXV2#Ovwwd4cJ}1Skh9+|0={&@o@n@wJ!qgRsqcs%0W_o}n+N@*a?vJscFR~(cj-NQ z%7d^WIDQ6adrqD^+*i0}Bf$v?A0q#G zEH;t@3;ll;z}fJ}I%o|fXYd=C@oD!26!;xHYHKex^6S-)Kdo|hVA$HS-bwJ zg+&lXGk6nW$OZ0;7AH-4{iK7|$l+zm1}!RQYn3kA{pIyN)T-S5rZa14kKgN8134L% zwGJvG(I#Cf&82z&_BQqPn;@{#e<|$IN*9VeKz+RVNS5BVu$$q@n`#hzFESN0wmX<- zL2TFU`7vKD&ZBguy*hDntbu7cp2A7P5`zkoGoc?U3-{jWAfjfl$D~Al{1PM#s@5Kw#t> z6aW~8llKObAwdHiTc_;c=12CN#>U%-7zRvuh9^>B16lEb4jXgV7cxQB@+TzZ_5A-&rF1>k4WV2tg&0^Ij(5%_B}(eJ=M75j^_jJvfC3$3{58c>xm(Nth&`iS)+f zuvsy~7BFK>T*{LfW^ItYTtJTY+H|f_BVwii8?N}Kh9b7WG_Bx% zYkN_nV!xlVaO6uus)NEVHgb05En;Iza&RKKW{~!9P;}#~S1gJ#9eF3o?=c0QHm}VE z+&=Mt-dV1KSql;UH;NPy5w5;0bGY0c`1$ZA1%kZzF z*74JMTb(~&*c;Iox)}cZR6)>N*Vp1scCqjDQt3rU=mxD?0&V)*!ga!a^NV2&qtt=4 z3B+6lJq;_`L5l#MW)&4as~o(IL)rcqQ+@dQ!M$`Ja~`T3wI+Bm%5sa;6H3}xpq83) zD}C{9;umUirwylS^Yn5bE*9OL5f1e(enZD1qYe~P^_9VZsWF#Gi3_h6$ru8cN^6DI z;;3sWA!nR`5*FPP_NqCjMRC_&?>mniF%kGJKdKes7VJKd()P~BcZsmTF@+LE97Z8V z-PP6R5@==4z+a6*LGKPmfM?}6a2Is&=yHB7E*;byAm2R)VPk`LPi|Ez=ub-9DNzlP#X&p%!sOyL{{45L zowM0FXc>)L3nfdbeW3(6FuW&nU~~;)zS;XUO+SIWpPrLrV`NJwarvteXl80Wppany zob5Gqd7?9MB85c30N^B~6(YiS=#e2(5u05sIS(H)LVIx?ag%@$o9bnnWWbyxl;TUq zy@ltZ<|km5yPYJ6bXtU1b$!NW3VB`kiu=F=9x2#&94iZ=QzYSBWL_T4#b)m?{?pXV z^ssS~g^)etQ?8NvvmPd$pC5+2JX>fjf4U3D94Z*BD&k^(`!g|@#s4!R+-9lqY&mT+ zod%US#w+yB_|Se>p0%$=A;d*1;;&|7lghh=8pyWVKcZZnzD>#X^S(NwNC0(8d9Ml} ziM99Tle3kgL?|#I3yYjd&Rf|+7m_S6a_rz6F0yQA(>bN(^xEle!-dA=DWNbGp-WK+ z_48&B+E0v_R*SpE&{u3 zTsbu(*yg6KO5@+!GbnfLnuhQ%TlwLqP;n?<-?w#LiuA*M$Vel12WdW0CP=pelpBsX z#N?FR0mLr}JP?2@LMc3RZ)(dWFYLoY6Q&5;$ToR~dkxd)>^It4?HwI+c8Tx&k~vxo zt+FtFPLDPp+q?BO-tUxE)Vomqj>X*V&z@cpj9+cH9KnKS-?=XMaoCjW0m~%nZRp|N zakrFa1AVC`UdK~YQ=+W5DsEu+g_&2gryPRNy!j5j{^^4mouE7CBB+g|w;&uzLse2? zIVHi14Jtm&?{EujeZ&t`Bg?04oDE7aa1}`MP$kKE8=Wx>8tj*Cj<`FvaU;9bM>FI<}CWrru@*Wk_@fC=uYY?t)g&Liirrd|V2-lPn=2>H5* zdw@4ARrYjfAVS3#+bH4$d$zRBQgW1$0bWl-#m{G+WX`>@cKI;4HPsI`clZ~kuN)+D zNiqeHD?wj)5C}2XS$70;5wFzFg9hdQEgp$UJ_Lae?rJ$Y;!p(`t5fvw$q8%Sx)Xfq z(n)Gsj`~BLnB|8z6)Q*5O-eu@PPi|mn)e8PfDh}<7mQ4;Z`XOL=y1HMrLA^0`n?;= z!3;Ve31PpWF)_;7E!3`iaz{Uldfpv2ZaYZ^W0Cp+(0KC_V!&dmiYsn=L-mev)tl`OFjf==~>S1 z`QW}~fB!j5kg&=p5lvYkgg!<27`*>$B_Ln|*NYky{6~BPfvo1gf1|W}AT|4Y_45i? zR0LdVsa#l1x-C3E+|5m^1219mH3+#n*Ocq-i}pQ5Ye}n&vJ^JcMX1bY#BZXU4*edD zuYq%fv_CQsNxqRkiSI&V$q|nCPDog|exJHz`$3irv%d3lp>)7eY} ztD?Oa=5(w9ZJpzPM~P0;Qs#?1Moq?~hWbc^0-%yXrcT_&!AnP*de-^i%)03`OXUL! zKOz-Xnb}ggR5Scll0&zKs|wSu)Oi=Y3fnv&^VDHBtb|9~O=2O4x>9GK#}s!+%^o&c z8h5UzCsU9YXGT3m=$e}KH3_yL&%~EIW7W@1T&7p<*l^T2m`#}TX0zwrlL?@H1PBck zp@}983y2HgS`?Z8O7J|j)b?^j6}87ae#A29Tey$;ibKLRI7`yhEt3ks11vTHCFr5n zRS#Jf_h9yVzj^=GbwKS>1|Oac8cpw+BoHex#kUVDS>w*V91huvl0uN~b5B}|S@GdHft zm4s1@nzVugDY-!wmABp_{pyt2+~Q1F3lC2TGAmwZ=sbQuj^DcxXke7PCul6@V2goU8d(_`AI^4%OTNVobM^voDAex>|8(GFsu6PgUhYJbQlZFByAsz=;fl`S%~XCeEwe*8XPvXBNQJbJr2L|H8X{^R~Lh$Ud8hRO=w?u zfL8m%%=ru$pPnW>E3e@X{uf0H1Sw*A--C0%NenUuyMNM}5Xex`qH2>-k;egH#H`^qec1-*FZKF#XlE5jEF^8U~B15Asg+9gyzat z!~XxeHxcx0_9!+rxSBy6#v=HANJOI}0yi=6jM0L$FQRh=#+(w6XwKx5S1%!W>&T6t z@7^stddot5v-Wj%9n;=pblJ?+Wc$d>v;itpT?M*T!5hd&AXm_FHVI~_TeJ9XyKuGb zlknk$%s*JraM7h(b!}i0abYj^g!nTfMkG3_4hygT*=3kF#@lc6T1RX}7*gXx{a|_t z@OiR=>PWpW(3}ViQZxuk3)Qe={*ec2lHG5QGKJiFWBqO-ydWSiDaqvEXIKcjmO`SV zbNUj%>`{IWBea7UhlqDJkXUr;#LiZ^s=cj^1Z~+mI>H_JR5e5LRQT$@)D;v%R{ z`r)bA?Qudq(5g+xpu8CaeE>!)20i!gJgYUpai`<5VX|Zq?FJtkoe!uG4v%h{xzaTTns$l^4MUd*o@1Qm$cbLxmZ4@_;*_ISEG%B z9~i$}*sgGC><4v@X9>hh<}0N*SXEdtGEltdE_>fVJ@){zwAE;|nHMl~UeMa|{xdSs zI<8_A5;(QU-Hf2m-Ze~t$e7vvAzqIH`xKugCVj`lVN}Lf)qXFwFOhl}hO8*Hjp-0(vYYhkvF?R6OZXP0(A#14ysY|Y2>={p zX@Y1)oXiKkJMB&-v!2j3NzU6DZx!I6a_uZKD0)4psm#$A_`_N|N`h ztNTdc3%LI;u)H8TCEzWQUj%M3Z61#FO+11~C=wTk+vC)9AKiDPvU0key7N%2Yu|ZU z!fXU(?9Kx_TxMgX^&_A!YG3eBR$c+|u@COSND;ktPnYq&efQ3fMDdL;0<3v>((va0 z(5CYxBOA-$wM}uaxu*M!Bz0PZbF1ckvG*O@^?Usep7f2t2w$$*P5HcQ#qJu?_%7;h z07d9q&zZ9Tv34LF;=#GBx4p&nqAf29q%_KLGi7RXW7( zs=aX?)l%sjBPG81a@JH!|D##c8I z9DQ83WUGzfNvP<8a?ady1wcx$TCWSZBtgjI`JCdIr#c-L zF#>Z6(6wS~0i&}Vaictf>~7Rr<)YB7G=Xp|{Q)mS62fJepsmc1nt4@wQRNU{mZRXMgYnO2ESd|AtkGQDy@kc}I@NH8SEiW_+WbOD+s?IKCpRv2{@5 zQ5(G>G$Q;+(vtN_;m&)C)wg#s4W?@CEOacep(oQl2hRob)Wj4W<5W7i-vU@2Ze>ku zVqSLRUdHSUhsOx6P}g>}XV^fH`56E>Y-$PQ4h<_t>k9yckyyM5a1F?on&S-?)}eY# zO-vy464Et-Ta7&Dn9Oz5Qs14G$Ic6=8$7TXKCjJ9F(CCnLpYLJS8``G-rGd~%FN{P zYlhDiH^U3S4Aow)<0>gBP@A2`=4u=%ENHOcYJF&AZ&;Q7vx_^yx_PpSpC>c+h?uun zrVzXbbrwxAWIZb_b%F-zTzwZ3GS8stp{U=Hor`VJ>ulx2HHcaxW8cgau+7;xo5_y_ z*0NWYevdLxh@R#9yZ9yPZ+W0P$pxApRgSSU4dBxL!B{!)>ISj!#;_DSYO;1KF?!bj zp%I^+a!i`*&1!2|;U`>APycVZMNLd9-ZlKpEy`6Mdv2f_`0CPc-vx0TjS3<#6OhUt zrcG7d%gOhJPlR2|Sb6HEn|?uanC-Fz=bLD=iFu^!Tdmh)E(K8t7T!;_PJ2IiBzQbD zVNlY&a6`>8`eu6XN6VAe=9<6x1GnqH4V6(nkCOq1Bj70_bS9rMwkH=P9dD1*dZ@G= z@ajgABSph?ue`4^ubRPftFQN%MIuXd<|UHrk>d1X;DS(+M)%GUc$gb!bYD4+^upIY^H zdp2{718iE$2>Y$$1|nmU>c1cwT;1ml$8oA7jprYs0_Nkl?8OY9|`SRuY71LZN zWw-xb^vGled**+3ES|qo%3ieVWKQ4sdOceOgy5f(}K3qCz~&2R2z6)SiU);qZL z_L@zhLEAH89AsbHw41`~x4>c|hKXsCavCrYr_c6=oO={j{z|*B-FtUKe%3>nHsL6_~2+7U24+-SDc_Yl#h30Kh$3J z!n>|B;d8R$iLMC9`p=}gPs;zu#{e<2Z~cF1;~!u%zzode3N5iiYuqWV>@c2J9 z*x+ph*%h7^ql%@#F-1a zzUkjz)z#6+ka6ijqcYS0F$(|g4dv%$K1Pb%Ki{uh#sKIOZpjIN6tGhSrV8kUu%O4d z+azF{(ViB5FC;>RDs9&5PWO?Kpe5l0>AV%Ye?s`>4NI0)>;Yjep1Pl1fPXp&YjGao zz2%^xT;=q3G~)B*C8L0|0yrk`wYMI#_O9E0DI-)R$w}V8CXE#m5Mrn)&bL9}iMQ61 z!Lv8&sTe!H8TlZgr9uVz! z@4gk`r4A;xj>P^x(`T00FcD`tcDET&Cb{DmdPkv(ei}20eu1cju%{v?A}P1<4Wd#S zvSiq?nEKUOqrj9PJAFQ_HirB>B$XV}#nqH60NcJJ0hfi=bC>}aBdAzw-OGVMkUz#I z@fhZ$ihuXXE~azdDpXd$EwINRTVOjoO^!bFvINuGz!(2$+S-@Xpuk3==cc6}^Gv%) znu_g@PjQyZb@a4WR6VCt1FOx2y#qbNBUjKoRHjr;c7B%9+AA<2TgOGGY5yl7t`MeT z%YK3`$}9Kkf;$vwv$qz_vm%Hu@)b!xUpEurZ2G^==@V}qO+Pt(sWIec3Es4$P9S}q z+0_#EbG@dl7qk<8Y&BC%esE`a3+;f|C`_eQ{f8V24KU}WWLVQ<3QmjSv%_x((jjFy z&EWMVEj2kbc-mMnw_Dx@>DG7JAMHAEfdKO$JxUzrYX28R6odJ0xWRcSmZusnWMg#N7Z{!V{PE-TKs0w1nTC!&(T`I3_59 z(77`t%ymn-O zWx@PSTt7{CTYP+Pt-_pkQsK8{JEKo(oV#lJejeD6c+BR<>x{iO0!b%>@^WgVA-{Y7 z7IbCA+*9H2?`9S^?*2c&r`!6;%Dm(znxquXYr^T=wVxds~Ed#V(d06Z_o=jbqE?@u$#xOssmOHM0FZF zu*5O;6sr^b7_s`s5jGlIxmMutnz{{3KB|Rx3kEbdERR{u+hJo`w{`cS;59TUx*!xC zh1CwH^r??`*3Vk)Ir>R0S5$o09c-=^o4u*`RDx;rKvhX3%l>T-H$3o~T9`JQv`^LX z;c$`d?_no1G0qPCiT4>-;k)&k z+N+-Rokzh;!u?2+0?=T=)!qjO0K@>16s|TA;DsMOl3=!i={LxSsJTOr0SyD=_H8C# zb`N1bjO#;`ikn9hIXiH%v2t*PvzmSz1*SET-SyCvVway%<|RYsGpjlRpw}4M3~+jNup^AO26YzpQ1!(3ubwTwUR$WPzhPR{BOp@Wj1P zJ-Y)fH}>IR02yvE+C87o{uK#hh}?MFxqgP_*ssg5ks)jg+z~Mj8*uwGxmkToLL7(` zF^GwQuBieRM}Ysoqh3gUn=0;e-6B>pOn2#g<%^K(LC_gQ@qC*yBF_`#7!$6~hh8C8 zB5xxX(v_n<=g*%%idhV?Fw+b@_uhSx=Jxt!=7E^Ytt~~-*gv6*WhWjr>ZS3}rP=&z zO;&!m5H9+bP13zK`dmg1>M}>zp=-VjAG903(-d|I5k=xP%R&QyR`_J^|C0QGTuW0B zgm^Q6k8*S|DzOPPE#+qSDq8RUvFC}qWI-%7g6e#almAuMOc3u9)ZN-$hA~261xfVV zi!C7z*zt0jQioUruWJPZnaAx1x`}em+q`3K8v}(5er}Esd#tFX`P!4O>-F>2pko~D zZAR3(pUJ5of>frCDKd;Gvg)<&tF635zf7&aav&`ze4}bGE8-d`(4K>H*V zh%&Zs&CgF3AlvA6)f_{CfhNaZ9-o5ZKFwxmU?ANyq%aPUTOnZ;jCo&LMHvTR0|$=q z8%Hfu*y@M4KP5&uYLSKsvZX;s;BoO9hiAb)8?0$mE{y8qmwU)l#I6#gZB1hyi`>mb zqZp@2#3BUxpbYCgid#!?lz|&O+%0+N$*w@XkpH0qH!ahNL+I96u3Tk&ahOGZIR)Dq zqD53p7(az0RDl2?g4Q7Js%AQP4u3N7Lq%~Mf>9A?o&vnud;h_%{Fb)+>ek4IMUDqb z#vfQ%^s*{^xHk0eE~bS2vFcDFW+cquXCfYY1g$b2hQ#C%+vDNfpl$gNF%`ph)F4>V zo_a&&9<66bn*mtus8Bm2RCJw8shs?No&21PN?}K-msHqkrJPT$QUeL0hJPomzU8%$ zU^J?e&Nj;>T{u~dd1QQB#|rPtc&&29>2FDVYp@-_H_4D1H3LSNfRUIxQV&i%wv;4L2S>N5t}YWq zl$i1fJC^ucVg5itCanXB)Sa(Sc?!zgAuPg5dGA@-UH~T=Z|5fH^asF)!%C#J(}V;Y z`91B0sY6~-^*O%BP3y4T;E)sK&OL3fl5rTaF#En|I^{)O_Apf6f*+KmEnt~u5O$iH z=NzdS5BJxmx;_AGD>*zAFn0oL&p5=%cwap4Z;9|>85x;bPNlU!xou41$xh~s_}-68 zT;k$Jx&QCq7G>nTYH3Jui4k^s#8L19$aahrVhHl)+dPzS;tt)?STcTc$cK3RB-BFs z-xltl0bBISN8gpO%|-qiPAVi)5&6p|Oa7NW1>agf-cH3IfhQBd4@3hC8#XxByucjUm4_pABB9I>|?MbT~veu7T^GSm}f$ zhl(Ni{|U0v_s)vKJOiMb_GtiL_}I8!0e|5yG|38LulDOM*-cLyynbzX zW8G#}e(L%EviNkg?fvR^bu-frY3fvE3VqZrRG`!c)L2d4zAXy67jQm+0rX6}$vfhNAc1`pf*SM?6{xw4{l4;@Z#{p-0@qI0u zhMin~v%)Qs&`Gj{;WPPU`Yi^n55@mtT)3#~RG2^S+NzaE)j5o60H!>IoH$n?oT=^% zS546t&;%ld9U-_60N2)F=10mPDKOZ1oOQOsRR#Dx@CbWYB>rLLr>lkrW|IKy00sStbBd!d#+S-y*x2TDY;YrtSFAwh+_wPHe z*Yg9CxJtSOua1+meTr~!kccjG1eF@{5F`;o-UT|oNAv60m{!}a zI7y_L#9bG@e{UAF*`Ws0u|0G?x?`I>ZhNxdH-a1eSUHR}Qscc0Mika<#N?N%Qwxbl z2^5y%kg$;oNlYhUfvS2L#F!%}l}j_Ge>w2-l7K}Fi3_66KfJ2(v-m)1O)~UGW2(*~ zE*ifa&&s< z{w*~2yWg#CU3tTl5Os*Rh{PSEppjre;ywxBTG~~jqCY$Cy3}7lScxDnhjC?!BIr7@ zI&}F-Tp1n^HU?ks8E?oUV*onRHuTU*73- z>;gY8OQ=0CduKQlRL-H@w7p(phbQ?DRu47gj(VvW3e=byY%gKK&jjxXuy@aTv!U&I zkGAL1#M51F3Uw0_T`cKaho=6Np%EquE4(Xc;6dy6!#Wry5m-49z8DxVU>TuQDw780 z!Gjj~+|-KDjA-T>-ofCT?ZB?m0y6lq!UBO&EosoOLC)sJAIi0dbvpTqC!NFcKF7C3OSw(FlsW6w;58te~NY-gyXqZRTr*!^87sKe==BgWEvK$Teu7qrlWEY0stZR z!#*ri;a|R&nP>;3)uQK1CuPXCWNZ_G7q*eK7((2_zAygWWD}g%vCexi zho_-1n;S9!ud0eY-=g1GlSd2U4O)J=TOOOm&z$*4O30=ad&8pcD|^KM9T)tCTLXAL zRMu)9R8G*Ru$dx@1~9K)z(NF2Q&2K_WiUC-e(Mhb(2z!hj_=ek`*Z}M{Z0k?e!^vg z)&&)_ew~0+_`TxgKh=MA9#gla=JJcsoOphDgVZ}-SLqb&Tky%LcQ`rlI=w)$UV=Z2 zH^kpVt@^t5t{*hy^V;$@i>Wm!SHi67G;#)Kk2yPGtFui53+ST^(wLu(t!ScaqzP zfrT*J$d`lWo$$1wn}9{K_21+>+T7=e7VmV4Ge0TCYiZ0e&t7l9KXwH>()W8N0C7=T z9uGo_M$!n#T6#V{$Q{aP-uhbEcX6F~M zhi+r!EZrTETB%4GVKSCrXDe?p0fBSwi zIh|Bc@czm@+sexIM3ibIy5V51T8ipRrU{v@4FVcpZAFOQ6OuBWdqa8{{=$Vx4PNQoV zENMsi~S2}J?;n?7F z)LOmt5tLilFA=|BOt8X_g_|*@UPl%m24!qZA7Tv!ug9YhmSCpCm8j#LJQ!5dle3m< zvpNZ>Y3nDRJ@s1~qhxVWeuu*ET=(h1vm9h!hlH=P;m|+poE8ZoM5HIAq4t|z)@&U1 z^_h(?mh1zjW)K!~rqIB}E94}UVNjl}!Ctp<{seL5k(ZN^Xy){mqk`m%guNd!F zYRAR(0zI#U(_q!X?Ed!lM_y~1_??YIc-)3JcnqvDg}d|%Y?Pf%F0X}_Ncvw5;Ba0M zcKmbvzIR&3Sa0p>U)L}NY4TI5{UqX0!%HL!)6@r@U`&jL zxc<>;@C?Cu*5RbbqYhv^*nzNm%4H~D>&(BG75wKUYI}0{bZ86M;+Rxlg7g72&Hv)Q zwYb<+z!+MNpACe?A^Z)ByQ3I+I3UF07ZGFBrI+r}5*~=UEJ(`uQ!Lr@UIwm|^mRuI zL9%23kx8c33vt~Utlnh$KJ)ODJ*+X%Wsec@`WXm}$sY;h^!dJ7r3ll-C;PPt#7~aM zM+Z3VZ*naA5nwihF~~Cj(d_F{mx;-E%cwJ02P9?}jY%FuVZ)6$;5De|TpXQB=mq+t zT=#|4JWT&QPYU}lI1$_=l-HULnBq@&N&$jjcTe&)b4}%XNJ~t=FS#3>NahHx3iLRn zPOq|;dG*ggk{MSWmXJh9jP6+++bGmf?0QA=0)DHaHevmwBMqM@!dF+1*_(LC8KR}O zDRhN+zqypx(nN8uvmgHRLeS}z13dwR;s>f;+R|YM%()}9g(XIho9c(m%Hm`0xZi1w zdWudN-g2-PP1bbMJo?6SjsKwx7HxUAaualjRyBOT1wzU2GcwHnAJzb} zD_xTYT#`U#LPAQw^B^!M5f@;-f^#V?D~p}du@P5Ir>Nt2vFnzgvPJYi{`f@TuXoXT_h0wLgDvhJq>f)f_YY{h7?x ztevk`y`FiiWcu+{x5r%>`70rFHx&Oc@XWW|m=deG;XUv1f-r)>!L8X;@k^N`JW|{_ z@<|wJlPkbW^W4pN3rWm4c7L`Ca1SAYW72L{Sz#tHYUDd|ai7lHHHS8?8T5SWI~_9M z>M4C;b-=QQO667QTuCEh9q+C@k5^3ra?=8|2iOWu_a3{|%a`F4lSoV?ui#6KuzE9a z0R-h8_fNcpV>Y@l{M&`E9Do+0b*NyCf#^n^+)!QF_~z6d&S~%AQDuvuU|PWhEaa`e3@Lz)v4`9JT#||Y>*o+<5PwwQ zFwoQl)C?Wm7aM@G@8(vr`Y{~kh`Ae-5s_-*sP~wpQRV6->n(Oos%tsO8Ufd0ngaiU z_~9Xq5B@RE?KYkp4A7I2xJA%-NIW(1^u({=MF8*g%RAkyzb1FUSB5(gmxi~Cr{M4P zhgg3&_Y}zQi)|`%0KRho44lPT2Bi-%8Td|{Jw8b>J{X1&@8hEH3s&JW*@Y@W1z$`L z1oQ^^2^Tc*HssPIa=R`o7uLa${WV$v-QEz4wRu`xU92u?S;e!EE)lOLfR{a?ef#M-7jrn@Fn1L)VB7CePfL|M-}kDn|w6!AFr=%lxNlOc;jg% zUZ(KSzx@zhidtyNak$+0B-4k6#$Caw*Qxhyzq}8TpA)=)f*198%L=-gmM6cC3U!$J zR-gw~WA(x+#}l@${P_OeahU8&KC!Hne|*H*i1zD;-Bt?W2;p3z2$F08fCIqfS9=tn z7DdG;E-I%^v4KSe^4_CdI)v;v2Y2L8dFKn(bYWd?#0RFOGOxYKA{wN`1ycfuRj zBzi*v$($&^dv`M$bfYpjoBWzBuDC<&gel^f?*AZHNHZRbRs>QE0X~Kt++T4x(n7H@_0xjQy^jNiPxs`?+ z@?;P~4+oDlBWO14Wum91@>?U&5i|71Xb`j?trlh^JWYZMErL=3t!q+l?gkX+psh|N zM(DioSB5+6&2%@aKo_pG<$>6wedW%Vhneo2svd$?W>6*GL0KzcIQj#3Z7u|!*Qh0( zJPLh+JB}Ua3CzKgANZ>#+m{7(I*ooKCMS$a?K(1byT^>@etdONvgC2cwS!(RMtju> zOu3@kA(sbWFxFFJPsK;EG9X)RuzGMA3OnAa&p^#3yaxEL;S-V;8_CzanVovHjZ;?| z=9nQntNxGmqmrX?8=*d9<@msAD*YUTZA9vIqw_H4c3ZUrWYR3-`Exgy<`^kt;D#Ys zBK{EIIIp0v)!~_%VWE)X2cK|Zkt10nQ%_2<>BjCCJJVBLo3NG4!T%@HapGj!Aw{fH z@8H102Z4bC$`+Z#iGwPk&^6qK{u<~(N2m%!6t#J(EX#?&A4U$Qb`zZ>00f3pU!*#3 zy{mx^oP;!xwe6_Y0!Hpy765l=C>k4O=v$SRoWD@dT0Ww`8qm0Y3XZGToq;wUkyHco zT@Yc-bBUx1dQ4?pk*G|-y-0!vP8}L^cHlTb&GCeVm&XYU2`8z1Y?(be!m{wBxFeT^ zdW4du>el*9uuh~T%ib@vNS^hub~r8X=3NEWquP6&=T1mba7!rz`p9FF-2bGk%qZ*(zN)=m zfA*3A8osKiQrBOZr99=6sL7OARo>l*_igj%@?cq6Sqm)eDel=_U@NFq1SLOzuZsp_ zF)RL?%i;oRB`6}--dG>TB`m&qBHtJQgc-g?vQ5O5GCy${uNsnm+Qy;w0;J1wQ z1GMoQKH(b`Z{fj?09mW6fo(#2!hw@U#vRHTrHy00XZoLe{&V#PIdjGY&1 zLk90ZKahrgBK6(r=N`X(=HCH1gqDNZR-X_H4Drq}Fz!v63fs7!##CGJoAWUn-F~~B z^PgW%*hS+kyn+n|jxrt*&_Jsrpj;2YCqU;QQA`tdwANwtF9k3-hYA5$4L)yIN18d2 zKM#irQ^f?^_T}Ym52V_K1HR>2!9|mxnbg$>AawEJI=ZkZg^R9A*D2UFmY<*8ebZGw zJz!{x%98$bS;Bw2Sx>kp1rJpZspJJ&a!FO6_7AHuWxc3nEbv&9u43Neg`-67;_iC% zbAUQBGE_H2_ngovf%!R%=QnGoc%zM;YC@89h5t1R@q zXVZ#H_YFZSJJB3jBBw-AK6q1tY1O&*23040wG$T~pD57ntse{uy|Y2zugmu0Lrb+M zUERBO8ybow7qRA#-@Vz8!5?-@dHaz&*P{>l_#XV^<@m_v*{HLZ_xJrQC+B`vQW&RC zOnd3b^S@iXIOp>0M)oV4rr&WD^N)9Ic@Bx*F8#dgvD&`uNhKvZO83eeG1StWcW7-I6JOuf9G6W7|_-b^G& z;Pu!eBeO5t%ujg#cwG}kmHE-c385`HT{R_9oh3HgyEJN=YMq;{>FRrQiYJEh^Yi)Z z?iWUMM%M?>zEa*OoE(%?=n1JWKc4LAxj(v|X}_!WgV?Z7=iB2tEk6V|JpWrX7ZuAt zvTpa}-oE49{Bk?=)YXHhrl&!XADLT-{a!zNHOI{A=+OWYXa4f#At2q`6g*C2`Q>75 zeCguFy}mKq^vt(gIl45zbZ%DXt6UbKYi#^vV!~c6UP1mVkHM?8VZ_gv{6e(Mt}L;2 z9dHqzsS}Lf>+Ow&?fPO7#NNBQU*K0YqIV)Y{r2tKPkoxkzJ1fXbgA&RL^m=?PHh4z zd&19*!dJifAutVPENt8d0|nK4Y!@#QPx~>bKsABS6Hy`}bdyJM&C4y$)Aftb$5Ig- zK_h&pEO@u{A+Nk?5&U=ePxozp^8Ee5GkP(WQsz%tbHT}RPs}eCj?1AIevGBdo3?FT z%gp>4%m(NHPvHYv8-rr7lYRA0L9_&%EdhqJF$D$EBg4a3nK!JW!LRQVND0e~?kC%-Zce?_R-#8>eerb9)t5wV3M>nLnnN_u=6 zwp061{PjO^a zx!ReNQCzGCXbmbnybCU_vGxuQIxtDZji7B}k_C#R4pNG-KHBI0GYy||a6X2AmhCw6 zs=nf$3vU+pQVtXG{qWqv9=q1$r)zg654=g32M#eZ{aYINxD98VblK5w=xJQM-tLH< zU>W)_3(uIoRbvYa3zx9Mf2UyT;P3>>nYf>qRx&YZ!w`U#IP~6vZ;&~6UJBlxBWw(4UL{( zCA#s}&h`IQO>!e2^*so15cH8JC@*j9=H{lp88Bq*lN*a(6?pBOU0h;wQq$Ax?%Uz> zeG)axU(B)hySU}k)5F{5BoAB;zuZvH{x;y~*Vq}>e#SX_f&I7Y0!+S6_o)r^N##y7 zQm;C=&g$jW^k|$tb4DrmbmNx=t5;ikZZ*nt&y9YHyM(WE@Pq7Jqtu+u*}wLT*+2pi zIhv~J4aV{L^I1~U!m_e@_*C_Ebzq5rFjb7}@gfMksRun_S_EgfG{88G`Ww67y<^*? z#J}Vx-KF)S>gZQWfDQPO>YgrZnEdLSo1-qyE1kvDu5WDA-o8GRIx;#cvYC0ENYy;d z7d{^FPJ+5L^~MR&jr%Qp_+vAPH`dta&o@gw@u`U(sQK3wN|X!+E$@Y5?{F%yTg4{J z&)s2NNB`1fzv@1HZ?f3{>&{fm%4#Hs=P!Ih;(x@z{zo4F(}p>RNKVo)1Vbo+x6u9P z+haF8fU90)D>E@?LS)3xy_E>@>!#+1p~wa58f?j>N)XY@yfzdS7p7-nc~EI zp2npM37(!;)xLhL@9VE;y6E~T`l?L$+5-EV_wL?(MBeFrlg#_@aZtoo_#GT|sl`(g zVt3~H24dUe#KeQdN(1g6xFXwN`~ybVrt{t26hS82uil$W`;X7f3Hb~xz-Wi5PX_5; zD2#o-{SQgbeoNZF^})VNV+kW-@cO4kXO`LotV^k=P&|KYwyNeCMC98JT+slLW$&U7 z!$;;1SBBR1A$?@*>sQzF`>%XYAUu>YHzeTfptWM1_t@}!Np*?5qM|8Y*ZtY&Cg89; zzH}OLk(O<+UN*^IQyJaL{CD-s|HdaKE_ywbZ|9d0SL{;B4_9tghhl>T>r9+VGv5nS})fkD)BiPvkeh@9O&U zr@byf7tcLRrRx3<3mcoR``WGtWbQeCs~!Ei!rGB#`Ld?G{iPQ*_7!f4E0rrPWzq5W zuD}CyF?PKhWxU$%YG7B&wXasUW)~yXSLn)kIB_p3c#kEaa+SrUk(ONR`L_{P5mJayb3z}ah3wtb)z#Gvng|A8`p=~sJYJ_Uz;jABOdFB# zw71X_^T+;?JC7B|EBBbmMPVA$R{BOlOw7kJ+K$B>@`*eIL+%u~#~H_a&8GwATpB*P zbc7Iz(h!8%Dwm2E35&Q6;$g1*Q1eZ^qA3)`=DkIQ!1WA3x0Z3}PR1kKg--mj?i1(v zi!ro}MG9TCG1p8ruWxnV{@+~z19Eb5>LJwl=F!HFx%mh(&(ns}8NgRKKd8Pq({lg! zDd-CR{PCEXoyF5_=$dJ6T0QmKLtUw@ukQ)8w&cPGRM?bvm=wOljZCs%#p{~X^YS0| zs@-z%v9a08FIMBUTk|5%*B<*T))li0i>N=hOO1o#bwL@563lalji^n;KY10 z_wV1IpN2N+UEDO_FSFCfS4;+*N}JVa;2G-K+1VioO$+cyE7u&kspgTV_eg~*X`X#Q zDk>EgVWa03x-qr*dF`AdwiELo=AO%%XWu!_!k|0GTdBGObc+_*ir;Dwz8r_kr~98D zHHBc^0|Pz@%#&UKEBeL$zl-thnfed$J)=UNzzaVQ;S1jv%m04(@Af!|GB^L_q<03S zgIK?K8kAkhB}l)S@iE~g3VpMA$yIayH5|PIx7He>xyT(;M<1I zT^ntshS2aKPmqd@mv#7}~N<(>7YoE~pr}ofNv(l?_iN*qUHq??WPfDXWx&i;z_^Z$6=e~K@ zS6*z-^B6Ue(;_C|3l2zqQxmBcaEu{b?XqImuH?1l5a-9ty;$0|&voJ+_}#H7(XP-U zu{ymJnG^FZ^41$MZ&-Tz_cIE@DP3 zEGXD}@HD=jd23D!_FL64BfDlFOwtv;Xp4`2NN<^?JBLVht#kXTaI$D+p5^2T3lRgx;PsU5b$)a;knJ%*w?IAz1GesP{pkVZ_lLihXKUzt{D19TXH-;Yw;sERU1LB*iQgbfL|~-1K{V18 z1r-ZL1%?g+0xC5@F-8y_y0j>D#86c_*fOZV08&P}3Odxm2;&F{+~?IV-}>&lciq4D z&zEJgMvUjoIp;n5-TT?k^X#YH@AwPeGIn3-?zT#TbiZMTDq`EX5fT|_Ad(8t)bR}+ zrcPpDnnvOM;W6a#szz%^mY+iy1XIATQsd?8lYCSJm^SOCN9X)w%QiCxSRvLwMvc0g{ zVWt7c3=3Oo{~Tee6vbOqO3G*_!|(cpKYdG{lcS@DSbmxB@-uSPXXJv;EK2Z^x}ni< z_vG&y<(`Xz_({RC=~m_<>jkSQ%v8FSI(*R;t^^ei%gO#h&~hau%U^4ZoK!WWDlzh- z6r+LU9<@-4UoOrwZGP||n6OK`PCs6DgJu&d$->r$VgND0gBOEwri;>WMq6_zDj;R+#OyYkkd865$%<+9)eU185t;aO`4h- z8XW^7o0FF6VC}*WlEh_1#L7zg2JOI3M_ISsYmgNoqTxD`Hs6K_6P*zfOfdr*(*(g| z%c!k2#?Gp4G%~zHr)++`@)6(B`3}{LYUkKZrBjTO*vU4!8God|Yg70X?c;R5LT+cx zvXSB2C*=EOZr*);Ygyi~Qbu~ZTA2?1%Yr5coHOLPTvTTGHi=d%fly$DA3`uIRLsM6 zi8!=xHs3)}Or&p_QmCzle7p7*I=$_VlCP?I^M~Du>j$Y6Nxgt4r;F`%a1|EJGa%qO z1D+S@6M$XQ($H{iTrkJt7`eUZlan~^+Eps}rKj9fH@XKM_6OJ18*He4bg0Ci)kI1n z`Ddl2*}mj8O?|6RqOe0-f!(pHz>4mm*#MwkYDKZ=4C4D$RA}*w8~{6WX78ee6<|J{ zEPrCyT{Co2B4K3UjI@VP+Hh&!YWKpD$@jiSLgfQ6a(^6Q+=_KO%CZ-gcf$ z*}XE?TW*hKI*g#6#Y5{F@MwAYG7AgZ-sdoO6Ws9VgoGhQ`Poh$JrkuitFW-CE&e^0 zH0MPLLdKTP{8=qb@+q9^2De~g-J^onVIu+2$;ml9v?%8c|RD0o|)3+5xO#v!?-$EaPy+a6~Tn?ZsV_9N$W+0q2Hy*)mUXYcOC(4YaT!x!DhL0`zjYE+PJ6 zK5YrhuBVxWbGnQcrhmHjh{Nz)w4R@Qz>Uv4-4hEm;=&PSB<=++qj#{!Y)O=cNCPAa zB=P+hj`$SOJG^S>mt57|?TrD>*-IUS?I?{Muga=h-qCPJ_)X z4B7kz#AZSRx3IVaN2SBiM|iL|gzE|(E|P$N*qFp35bp2#3Ef7z%D9ffJq-=7hBx-h zdX$uu>|k#dU8??byrq=G3L*dJ%WoS47y9@lPK}A*z7(z1!~Yz2N4m`NYMhIZZPcYd z@{ipC^RGE&MHH`uPZ$efPp3#^?b-pPYg(f`6}AI(ha}_Db7A!mc&ICAcKSTD#h0e1 zLz~&M7g$%;9g*%!kF{c+DY$&A10|LB?6lB`8Hm;wSLH7mqIw_8DGsgcEW5?NstWK#{>2pbJQc66dGPBSBPC`W&XJx^|OJ&tjNv!Dj z_yNUGm3Mudi)4AZxg7>73(ap+Lk0FWl0d*Zf6tzaSdX}Yq!`sSL2M1R@0soexwx*qgC`k$gR4U(#UhxO(8{Vx-GwFar?#`~avg z>Ze}?g9RtSef;CmmA3AM6;Fq2w`mMHWd%ReS}q(beq7x&@|%rz;mzcPhQUXv^tn4d zoAruEx+{(YTHkoa?}wEQ(7W;cD;RY*bgEo7T*dhjA55~%b6a~p*YzM?4VCAZtE(Bk z$4oGdQQn+a0ksbv{aO|k6vBvozIo{9=%>lOGr4~3Ye`9O12+n}J}R0Wl&%fTHoGvN z!*NM8Z%8eQ+m2!r!_8;_GnC+rSo`*wyQUJ%JAUZq)S`HVeTON7kwGR$xncwdYLQ9c zjL2v?6BT0<{*&$8$_!YL06jIDH*emz3qwf$lCd{|#Lj#7?+=0#0o$usf(n6Ui474y zyj@s07Iu7_J;5qkho_S6NN`WTtZ(aTmY~YD1cvxXbM+|HE0e!Aj{Cx3Vv@8CCj2YC z0*UJ{{(7?TUO5&T@t=gQTta@{5~gV`{mplb6LY9f7p_y@Y1n$9gLB_QSZA2{tate> z8Q-1J#V&P~F;i-;s=e6WuMr%vsVNn{AJ9VCb1SeB0CI?qic;O%9rEyZEEEz2BO_Bm zmYfYxsj0o?xjb&w%su+& z_m9T{H&VKFgBOJTpb=TkdG8^t5_2+F_e)up?GkL4@VKL6&6GpQ`pX@j~GFl)iIROz(df%FvF&Vt3|fU zaTF^#4j6}E{O#?>)?zd{05K$Gu)J_`aA-gz^0TU6L7@b{E&=@vK}*%a*PsZKauoSP znBO!6nN@+LBi0nyW37(Xy<4;=F3+IE1T0t2_cR@GK&mbN( zsb5TVlA~RS?3Aj|&D#ex>bG&KkEM^=d^#fY?t(G09Rw<@Dr|ISU#lyol@~GtRq+@} z``9XUM}Z7)1-}Fk2(D60#VxT(VjIFq5ZVce??$PsPT;hcCFm3iMYjzsC?$fuL}-5a z6+CH$JJp|?w5KD-?90+djgd~&Pl){id!BdYDf1q@MEl2r!q4dB+Xe8YMwI&um*%fd zsn*J_>FRhcd&x+%=VNt&LhcR)h2EHT$*g)afc)svVlO?*cgNW%>^oRod%>63cKA*M zW&?00{{oTwYWF!_(vs756j?h(kLq7jzu`&q-};+==<0WQ8il7dGc&Vk{Y~IS(AOE^ z@`0&jb_rJKuVuAfh@4z}B5l9KoF7UKW=E)ATzBNb0^2YThGAR$5&nBaW|Pab@xp}* zzYEtz(?@S+*BtUK-pkLGdG(KzTy^pr3a4(u+j8NTj}%$_$=6S3#pZnf^^;~eWy#l1 z$yk72KbhcZefboex$4B1V^SV8EzbM;hp!yxANl&}z2bikx9#GWIU|fZQ*1X_vI2O! zTf%!hLW74!=V1iFPU6$fPBKG&+2K~Um+VB_x3_@*38clBc4;n!`rG7U%CiF!b0{`@ z-Z@xPbUDxx-G!v_-!Lg9_ioLvm{fzBJ2;}}CkHZFms4cc;uMJ;ZlwcKV_l8Hl?FUVg+ zQ&FFZG~tcgEXEq&L}#Hcj<$Q7c@C*+_#Kr2Wh9S4Wz4&ek$~BSg=T(2eub*Ya*BxP z*AjXzrTn+e7o3AeW+iIZgAsy_ zz7)5>8-1I-@jKooS~;VGeSVOY$r(C7=hdm3Uw3Ota4fEK0YL#tqJm8ig`ju4mwkQm zb^~?b`jRADKtbfedzo8PQxi$AM(Nqo*!Wr;#1xI5O_T=kf*tEN!zQ#Kpx~K7T*?;azd1sJ5T( z5Bk|W*UB}F2DFXciK$E(aK%SrM`LY>eFjxK!>M$>(;m_S52Iu9MJ z7Y2XVfL6`t&z~DB!&V_fl{Y1YfyEbCeuYd}@o81f_E^dfd(w_+8QlAeBC5qYY+~xF zNzq*)ko2a_TS9fi>cT5Zy4l_k6Gu5dM=yW{R9zv1_QTrh=-+IZp&Mgqy01?k0kgx< z#3ZTb-hPSdn1kXXHewoC5v;$CS~>Nk*c|=ws)1phhozHXRi^FLj|+Yfq-ACfAvcRm zi|RZSN(Qq4Ii9vS6t!BQ0@OsXoUzbO`NdZ`m&yo{wPC9U-3RHj}Qv4#Opq@OVV zx2P(+7-j616n|5U6T2&C_e4G;pZfJHn)+H~M*e2A?@yWmOHG!o=#w^Byl>0e>O_2f z9P?i%c=W#E$%e0oPG&FtzvKVKRYG_{^?RjEB?4Ph^84sA4JG~h5hJnt64U*9h;LUk zh{FVL2C7c-CIK^gURT$GR6ZRzqL#x*9IH?gJ{ z%$-x0q+w3nRC_s&uC6T@)0PbdD4K@>kW{v!zLb5l^-YqaG0M5w-|OArd+EVD>uQW1 z$qP*9As`l{f&tS*)?5UDUd}p>&;mmqh?oZ5udKUw4`TD(Z*AT4r?_F_>#!k2;f>?x zv@j5q9L9nQ@r|Cel9Qz1`lNoqcuu|rl@+n&+#fOe%}?`9@mX~FT$!*e7zfP0phjrk zBDbD&SH0_$xDIf?LG%WyqDC=>yA?Jas|7{{8Y|lFxa^BC6Y!moaYP`e&znrQn zYe?V|(4`~$0t8{aV}*?H9x2^jehrjx}|$H8b5rJCwgMOCFE<2ffwlfE)WJ=JG*!YpXy3RB2DNtW-Ulqaxc~<5$o>Jy7F;EUkJ#p5)`DGGTE*ha%{c z`UC=ZGcqyZc9wYE17YGoc|qYAbXW%vD{dg9@+*W^0B-b|^vQlI`f}{>(c9TMFHmi< zn?I33?AF#2Dpyf;)g^0ntRsX$LMkF|I2<(``w$RF_{DlO=AJ87cJID}#cm1d80i=y znMj;sKZ*l8QPKdAATv~`RTMDgQ-}QvU0seESx5lTKJvT#R^PorP0o7{SUx@NRU7%nwP4c!&I zpcq!q4aiNProrPm4#ib75mRhixj5`i^lRfvm_MioC98R55Z@8!=TXw_<>v~?oLsDe z*Dz0Gp~hIlm7}g*swC^%Lq-DLzIAIC^gY?+%1||14A(r7KR~UP8cbC=AYryd;4yql z_xuXMs@*5Q*`!N$M&R`eN8I4r@jDt&2TE^`nPGXb%rXa|ga1)Z&Kw8@WImm0Hm?33 zkC_P7hzo(!jdm_K69bB93azl($i@@Ljvv)GLi_Kj%G*wQ;%Etuo0gJZ;jXw$DaRIb zu(lg`q{Nz6d&`>U(+yeX2!fes?TnkNn{y*fom#)V8?4RtA!2H!WLY$A0_FgDZYlIH z<2K!Grz8Q~U7Y!=0Z1jO2nBLsP26AQL1>nr=j0 z*Pd^4N#QEc%`CLDBm%~-dvQn_BrpH!bHt+|`qZ!jO6x4#L8c1c^+t5_??Q|3+F5)6 zRxiJm1*!IU!G^aH5{llyJQ4#@*}|4A&|@LdDUd}UsKZnVw4!*lfL_T(MEaF znbFWW+XgK6OLB!Q3acT|23l=rv~Z1qX42Sk5biX9G5^q|v$)Y8<9Cqos*!(F{aZqS z5|4qkpMc44FZFl8Qnq{oRz-E7D~HqA80Mo*!#NmW&N4s)dIv3`Jg#yF;X`=I9Lak? zv|kLQkql5}-@(R7zGt$vNY`0Ea|5^@$_PzaZOE`$IXTKzGlJYYA`0=sxQ{q&)%8~$ zAw`nX*6zVj)i$_lt6?6b2S=?*Xn~YD9{5eXihFWfiB~4xL*H6Jl(mQ!dN%s(IE9EI zEWCFx4^@^3{B)BX9_Lqp`?4|_ls6_$HV&~NL1SEV7DDA9RnVBgK2L6J-@Rj}mMVGP zY1YTP6+&4;5 z!^aE)r3R(AIKKez33164-%#qTzaxAw5(B9CvHg;A*@!XSH8 zm~h;^q6K4IwfSm@nYA!y-yWHe;EcsFkzF;pZO!sadM6dPB)J)b?oykeQV)7JhwNBb zxHn+Wy<+kv*V)EUd7}XX)2=yck0+8fJo|oypy%c{^XF!yr9FWGW9RtCk5+w+iJloA zi1u+XHfx03Y+Y54JCGjFLfGA51jj0&rqz0`zG%(A-<~qI=l{4p)H+ccPQc7RYx2`4 o8|VF}DF2eP{{JHoBeQd?O6*_zTYk?a-^gIkzMpb-o%rRy09H4Sr2qf` diff --git a/recognition/OASIS-ImprovedUNet/prediction_2.png b/recognition/OASIS-ImprovedUNet/prediction_2.png index 17f1bd941af9a3cee6417e5da05d5aef3398f9df..e5d44f4309087a33e2d636f4920b0462c448770e 100644 GIT binary patch literal 94084 zcmeFZcR1Gn+dqC;nOOxQdKqg;Z9Tk!;zU><})MRc6Wx8QCk9tn3ky zy~po-_5R%V=W`#&_xSzs{qK7m_i=dlmM+(LzMjwXe5~^os-vZLl8lKAg+iUYs;+zk zg(56Qq3~izPQXuU%Tr9?e^SmW2F^Dfteqd5W35ov&7B=>9h`0NTby&X!aCh|uon{) z5f;2GaL&fr+0jW#NXYKLA0g;~y(gqu!l?_-Lh7h)=!8O1nIr$<<;v&WN8zDRSCy~m zx~2X8_&8Z_rt-+=&(Fn;?p|qi{pa{$L;~Yi1@3?L?2^11(Kqcj*|u%-EH3$VXx`_v zGzXch8)<3Obhq7&xI{De{nwp18vW+OQPE^la)$CJ4kA%l> z%jeP!w`()@`_6~qe9aky{{0oiyZ4C|)hJBy@2`y$AR>YP_!UNL^+tU9 ze?MNBLhPkEUiiPClQHPbmtx=M|9no0`v&zE|KoKp3Ydxf=c_0&(HH;c1CrTK{_orP z?*;ka)%fqFfN%bPRwJ1`LMx~7L*3!hCsx%W&t<0!|NdXhzs-dyoM?n?e+VN#IW=~C z_{S$09yfM;wCyeZIZ(Jrlp>BC*>4-6IT_weQt6a`K5qXsqarFXpcp&a`mn!AbtcGM z&~{;AVI`r+lPFs)I%w2Bc+|dSXLV|IM#$$3o9D_WGb#s#%C&a>to~nG`!0o44`sGR zJ73`)cBz@(DmV?l^I5-k?exXVm#MZ^_Bw~k9~!>2NDil%GNXb+Ijb4kY_Ze*xRxMu z|5K!SvPNo>i92b=!8DKgMW#n{>5nbiT_EGe@)9hX~BpmhCuml>6d z!p`>(wShvO6XcWokH@?i>UNriR*H`IiWo23ry0mSS(|o}qU`xd;dFm>^p7_~d3m`y zn)XMj75NL#wX1LLRMUHGF9(j=%R5XN6r15qu1a)Tub;8|;JRdVus2ZG&2P~>^@uU@ zfVWeaf$8982XeMMi8^9A)f|WIK4iUqeZrw;^+bDnyKd3(yqbK2gZKK``OS~1-PwJ- z%#f4-IYM0%*;%b z{NXR{)yZ(7$*p0B9z&nZS-OuVR0ZFLiuQm1ITWFA@*byE3^MN~YnPUMvWB*=-L;lT z*P=UpdgAQZ&I!?!2!lWKec8RgoZWtxw5*h698z4mbg6jI)}X?XeQSBNU}!Eu-y~(* ze9B{S?(=;U0p&HvikiFub?g&Cm-yz$g5stYGylH31(g;Lq(`^*6w{P!sX{* z6Ug3OY>nltINDpBz*aiKrNN)~M(x8oMdj!783@ovoDn+_ExW}?r$RH_U$eE*uRX`C zEzRb&KRgx$yKbT}c(t;}i_)Zsfi;@=@u&-fMM?65VN21_{XcbVDk>_DmBtmTpU+}U zO?{&D)n%i+_O~XYq?dhr<{E3BtfMymjCfRyk;1#I5HNa2qVTxQ)nVO6Jhl0hwu~R? zDen3Q<+ztG2~A<4`vwQ|hB9!xJ3qH;gWKD${aA7}cKN2av(iZA6g7PF#P|1h!;XiW z1C4X*pC%m5)~4Hbc6)p%Gd+&>Hj8{tqVloo9AgLNPIFqu@ID=@M;)co4Qkv(-rJAn z8wI!XkGU^ikXflG;N|0c+Bi{v;ls$&@87?R)#Xw&rqTR{l0W;V%~I5$%K5x?&x^$LHjaCFw611;~1AWxjm* zvZqCWkFOz4TQ1aRFUO|=d5P2fw@?z>U!W2QYMQwJ;)-CFq%FJGBbUAO<=4eT!8>73 z)@LV5T3G$zh~jvWr7SUTJTc<6J(?`#!e`>Osdun0e=Mf;LMAlh@b|rYvfbLAlc#du zzHO%RULmMCKHA@b0uenqX>kCXnRXFQm1%v(@xi^3M=dNBlVSWTv#Ab~L1*nH7VpkZ zu^mmY2|xJCE3-GB&4*cb-mqGhjr)6f+?XY?geV;y9n`sF88Q@dK~`ZiOchoyH|W>x z>3#k7Z36y(+I4v(^utega_%@%)CydhDUY#z*220YcVnN!O}FF2?MGdg2F@j1OLrA0 z`nbiEc;R+XX{qQ4oO9j_7n;@ByaJF?u|4{jtrm_wE-MQUdDziLj(obS51aQ6`)p4J z)ra9oVm41|cnxjYO}fIGwQIH`6(VzwJE72#XY>TCu|6SGi)Q`1iHbaD_;)%?kFcr( z@#e{5%Fx??5%}yhveBX1tN+v%@P^?$x5_f~P`qP@%a8RI@3;-Bprq#8nYc|5!Eb#0{GCgne2zu@TT=tBNHUK)CZ(y85eC6xEQdMZk~ z+pTtg(eyYUr6X?pBStK0*r87L-r-TQ$NrwQpLuc?)nV86-eM8|+qZAqLr?L;B>yf^6(x~TpSJJnBFY*c|X&4rpUFj}2EVT?>FxVdRsk0Dfj8`}pv+V|bipp5ARk%}fHTrlbI{(jH zPeydK{E@`HkEsr|XHK6!J-KgKW^KOpd(fcTb;&n6);u{pPKTEe1?N|?=+2Xw1URv@ zrn=WSvR#PYLis=8k7s(gps&|aceGiggrTc}Hg-?;yQhmZPD8TG#I_ zzdI!MQfrU2%owfb%PiYyq3UMk=aYRHbv>J=#q+}F=*hP+r=cesMLvi8GOSdEwR;cV zm6wMW{p!zY{N-%X7<3ZlJ7DU=lBY|y{nMi;|6P%g)6ed7X^g&paFN&2!xi_B`2*8l zn+clS{+o*fQ*hKiuS_&HuOV9=&L1?b@Z^F}kL5}=mp8lXbDVK)<3CF7-t+VfGT)<2 zq86oa`fl*{R&1!^j%RIJ1ObZi(gWS@(!Ol9DWBtQA7WciD4Zh|#)2pXG;Q0HrM#RM ziW1DKPEKNSn|azZHTD;oFouSCMy|hqh{Pu)g&)#>ZTn-)s+nH^?Q7pt4yADK9?yvV zMe?lfc*V}rJOSS6n#wwqor+}S%fP)*s_p%fEU!h}Qm>a#Pp+W9@b3JeCPa_V;AtJv;m>{Z^Cb8P7l}l`N`!-E@ z^IG?Zsn3y0P~Kq|3Y#|&mehQZOgB&V^G8s5H=E$0_Xa=t6RQOC zXYThGz?Lj~@qN=#e9I9kvX*_t#0h3OPsZU74)Swe-@bm$gn~5TXi)BXd~`VJGX9lk zX=r!BnAr$wK&y3GgP{VmgyZ;|?LmFFWh=(lb&MhwghRu_B9E7i1q@5ka}NRcptQPj zhU%zp-@dKAXu*;5pq5I=a!=|WZ1hj|ALh~>w*QP#eKaXruz#aFg?s&g$t|n0{r}>}+PEN8W_rY3Hoo-jZ zSIYY9>#0FQLq;;IO{XN+V{3$h8}Y_BoDx5o)n6Jg_Gd8l#LNuY+1r0E>yZnG_V#JX zHN(}IqLD)8Zyk7IKHVCdeA$8Z=vT%OX`3ajw#+Ia6swhSf2uGSx#QiQsT}#k^GI)m z`hE7og$p}N4nE-k7IGWJ?8MK0j%JIlgZ|4X>wfXTTb^4h?T3RQ2^1+wF3ora1Aa z`LzCcPhMOL6c(3@gnGF=)shEBK&`dPN5f0P=;Fabc zpChLc_r%3zL}%d zeCP3KAk>%NV|8puzeFGcsva5|p7Z4v1iet4Ah54qdSA1DfB>lh6OWVYvt5lzwHsWF zk*YGAUvH{&$L*{}`;62vgqkOp1+f5?NMn#&Pw5%|>G7wz$a|CD^LT%(C4lr4f*o*g z-e|rNvmcQ-fZtITW^5v$lJWgkpg*PUvv&%1LSk7RLQQgWbL*jbMk5PTaO8E z>dDus_6;v&JsewD9-AHRZC3oL-FF0#@OPz8ULNs9T187R{TZlE$a6k4-Dg5jlIPMx z)5cn_{gt?k140B~>n+M1tTa~aFISg5_{Jx*Gw$DNDLVJ{6*cN;?0Da2XFPN9T0o2FH7B(MdDw!43Pq(R) za7B#Ylvy;Bjd=X|Xz;40;O3 zO=xkS)N&lZFax1zg=&wveLEasPdlG4*NXgT{I@(IsPMz@|3aKdu0fd4=VJ3lvvMO5 zk1boZ}EO8}=Q$molcnUCOzkNXj`)^kS7 zJcUcccJsC7r!TKG`o4S-{h@Rh#1dz>D0p}qRZld+suUXTkfbmpa5+Wn-XsDKQRko@ zLyLuWDO3yRgK}*id3J^uoWM!f8rL~NixG=qB=$gc_Hra#GjEAvahuNyZW4tJz@?Em zp8ojfuYS4GK>;Qvrg3Z~RId{c0H7N;@rFHhl!#bc!_IFiwFr0?I-!xbkj5_~FG|rk zeJ{5=TJso+X*TZd+mk7pC%Cw{@@L==V4yxf?Vh!vpS8W*Iht;ZW0dzk@QsQC&gy@P zM=P_m6k8n3F3~UfY)%bXg%@nd`xN^+tM>ZX%>Y-PpyUs9ZmVeR%)2Rp4_7D zCPf~1hWGE<6E=jC2=?_q zD`3pGa?lDCm*QfYU-LB38>(^OkOJ17$$o&UCPH~$C;&5rnsMp>d;#(4;~IJ7cdx#C z|9)~Jm`(NO%~MEygR?XffQ6+s4qIVv6Q+n``@1s9e#$w#VWL0$%>)G%v#4cQd(5a{ zS;BqIgxxR+3CLT~^!bEbWle9v_q(x@MECwzI)el7&sWg@3W@)<6tE!wPp`%sjR*&y z{b7)8@{3CDwuB9w3ME8Dfou?jv~o`I>lZ3JIjx_IN(Qm)p#Gl&@lT}Nz zyI`bNF3V@1B z!6wIyK&dD;c}f(}7vid_s$#%|CCl&^%$+-t@Q*nyhg@-20~Fc6F*F*h&u_XjQk-B{ z|F!9k;pjUnm9F(B!@*;zYG`V6hOu)u5PAQ}2mdNu;;c^^5DTAn|DZYG{OvFWZi93LN_35>MG>j6BE27D2YY?c9n*u1PDnJsvL9e6?J$sHGHGV-CPT@-~*3AqF0AW*A8+=w52I`U7pBe z4b8dZ+9Y2KxX}!`B(ML|gLfy8>lSo|tk~BjbZXOG#C^jCVKn-tUYBm<(c$~~F5G-K zJ3CvGLLAU+;n!>-NtJEY&Es8XN}?G*7~f_Y(`8LV7MRIP25&`qD=q@Zn=JE0lwQb$ zBCd@Py0R``pfZPFR21d!;SW?xOG_ZqGQ)lZ^$HrA-`$odcKYy7HWwRg#R*WjzFg{; zHe;f|mnR$oRIHP{EGy*5`WE z#8XxD^^;oj5rO&L{Zp_6z2CnFsiQfJZ(u`qmq)8h9u5d5WKON`>R>Qv6onb-aQfVFer=Xd`)oQ%&3GQuUC3TUlWUbKa5*T=shGNd zWQ9!&Ym}nN-LlDb&!Xhi!}cQX)WhyVUw%0kMX|y)k8be?^>xQnPBTq{ zCXV|$twkbK7+7n-A=hL_-*z;6!%alFMwZ-IHMzq$cm^9u{@=g*+$=&sy7@zo;X{dCOoNvk_E zr#`-WdZvCRz@O+ZEd3ux0)*+moCJ0*!n8n>E_PYG1ws%W${S?CD@6l$XWA2h5+T$H zgu5|{wOk=t^^KMN!{Xs3lHkVq-@iL)UcymTjbOxss}9s_=g=FDxb0vm5sy|{tDz}< z6(1j;u)|Lo%~bJ|L_|c663n=!==SBOpU%l0?cBX6E>1>FM=Cgkt$cB9b=u`B-7~Sw z=`YGgm*G^fMw8F!N~NDbVK{7r8OK-M;QR-cg&FHMH#hV0^7?knJnjEQM_F1}C>YRa zj;uWZTsu3vkY)>1Rp2{Y@o?Bt1_D9w1>eA<*a@FG<>%D!qxguE(jL9KqlHV_8tN5C zD~Qf9{DW@)g~I82&&v)L8)jU8^CcwLINV00Bs){8tNSy3NsMk9=QRsrOo~OS2$u@&&m~^zGunv?7e0; z)C~~&ElNnX6U2G0(TCWWqSMYqs$#m;L5rC9DhfQqws*oYMEmJS6QLRtApv@F*j@li zk!KzpJb#Vz{DCZeID5ji(7SQ|{3)7Yv8sEn ze%Ok`HbROu)XP4bi!Hl!;mrYNN;;veks7X)eT?VDu6f@n8sMZ4&w>MIDc3d-{5@;H zGAqKQ%s>Fw6nkyARrcGrZ-F|z0o~nNmZE2X;KSlTQG#-Wd-skGEE~9@u;{?fLDabd zYM_*q6f_xX%HY1fK0o+HT|T0+L5ie~K-fS~o}kpb$p{+XEgk0`(_WGtNMvsBuwiq4 zvGF{O|MP#j&LAVfslLJl^c#WLYBn9vZ`T`ZZ+Gdm+G~rzX zpLdpGVWuSRv=$Rh(bOWAHLPdXPZ1Enyrz>3YaK-gr*;ek*0!c_u>}*JZ;!{>U7hcn zeT4aChNis&S}F7b6kIR(nAM|{(JchgcC#GEwSi9GO6l5bYb@_0ZaBr&6Q0xSQ-Q2L$Jog|MnLXrs1Cicnc-2zk2K zEH(PdMN%{si(|`*Y$(tc81*UvI{ch8qx$n%Ak`XiNN;_M5>hHe3dUB#m%eQ^S>=twMn|)L3*`m@xI5uKQj@0=GPhQ z7-d1K>>2a{bQcL`N@#wt;b8N@pCIRgQhXP*5-_M#;PbPzTNiZRcM z@DfPcO^xuhZ$DKZG8gj2g3 z5{PnH4CxxQTDU)j1aP(YUgM5~n(8-d&oD|MmO^pu+BKaUH#i9E0DPp`>aw1RZh@NR3iIse|);XFB0IsS^o{ zu{#{ZaXJ0>^#*b8o1&WDLhIAzm zKQ9}_Y7eLDxTazTxs&KbJL{qT3*YNz-Z?z_#7Z{XogNOvCs=HSF{lz+H-+13GlNs2 zJV-DSZY$&GB0|iQ$xk9DhAq>Uo0jz*-duc=<=_?TQj5ik_c z1VBKrMT8lZ!E1q4`UeltkPteqj9+1vaifM!&9Qw=kSd-<9zEO2pf9KNcW7_ns3Ik#;9O!3rR+o9rk-2dr5S6G$HTM>)c%R-@$24av4-`fo!%lH^-GHhZF zec&_}Y@sgBZ0|-%@uovEf#-$zfG8&m9S7PU=7JbgB%*;C>c3cg$5o3mD;pH{KG^X- zI}C=Dj*(H={r=aR3sn)S*@#S6$C6|YmP*CJTF2^NKUA}5URBbTG{30oA35@ z>4>&RoV4pAK|m#^g0-Dxj;&s9<1*i{DlrJ)3>GZ_TMyal7>pk{;(aHho9Jk@b1y=z z#YcffrQ)^^`fY^GMZP9}K8Bai#Ia{EV4BBRK8hSs`#Knnecc*}?57d~<*TeNB{(N8lU_}W;-Zw2SPlJFb2evqQw9J}%_t;ZWgwcX^J(A-!>fC?b z%SanT2Ot$6#p<PyC`OW>h$`bmL@!@on@XJ?AE`1A9l&BKSMp3+<0X=|Vf)hhK+^G;8@ zicX6?r@VZQwxabTI*H)RZbxC3t$1o&s)|+6kgqEiiwQbi`5u)!aur?GhC7uY*FJD{ zc|@(@RHzQx`wYd2iFU9gpqT_n()P}K(9T%WgpL@5D&xb-!bxV0RwJyf9<>J_9i(Uu zYLd*4AMaE&`P%2G^3pv8)LJMi#b9Tc=~*{#e4a6*kS2*%RC6r1u#nzK-Og_5eg|PN z7269=Gk76o4w_Z3D_5>WbMy}?MoQC$5<;X38}MN8r1ghk5$^*xOk#TU-k$qvbpWV5 z#==aI4SJgpiP+{dJ4pz!EGqc}VbnO{Wg#m`+5ng-jjPm+tJ+Fkp)X7yz}c%;uX5kK zQHDkt78W+Xz6*sD0mZOC16Z*qWBr4#4FaYG5;^~zfh>?ZQdMsnL zXCDKaNL46&)X^kxnio3+hDQ z`a~x{Kp@5qAVJI2m8(}t^Yim{K)QMQ6d%xv9*=DGXd$gCG$(`^zJATku1kcE2bUVd zr@q*JH5rN-~+Rs?M>%yBia)K)0 zoZbHmOPGh40S>_i1>eHJgawjb(sFn|&~oYcI`=6^wF!G{{T5@o#}Qi(y5t&}!EV!{ z=Y~~!hhQ}YY6TR2TwdPQO(Q7b!i>MCLe2zL##hWF-d_1}H~Qq3u=_N`Or(yEw(H6u z6r02dh^O<6B9}3C`7|jP=sC9HjZ3cNcpU(DfL?&54G>=G$`!oduGQ3jtzJr2<{(vo z^8p?39Mt$Ape3+jVuQIJU(}^jiN{-TmV!N`7b6*JfX$Jsd=u3q4nY(?{W!7Q>2uqj zGyZFpr=~e@rSw<^OpqSXtpsL#of)aVtu-a)gp)U}a)g=6h0W+;OR*Ga*_^gAhIa=UGq+m(Cr3|3Py6d@%>fP(F zZa|8$5zP4Y+Mf*O3z{jy=893N9JHZk5PQfs26`Z<1)Tum7fy*j2dga%FXKGgo^c7( zi*<65AiMKKtCfGe2UpV1%29g^w{_W|j;?M1aE7e+@96^r196toP#&v*48bZvMaE@k z699q)7^@Siue)|jN5>bW8ITkaUIqX5%h@O(>(p*(;k#Etbg#8`^_}I`Ty?e7hFdwF zG2ha*peEIc@8AkI&|OgHi2BXSF%i1O{^zz_;qMah^Dww5#~0DK2)r!q2GGc?FP?hc(lNFX>Ivi+U>m>}hsIm#Sg@^Pk*+jsul|y3yNyVQ2DB-p$0Gm$N`dx`24p& z*c0{2&c*DPRaHr;HN7tUk;LKr@!f{*a+feD%#b(v#aX%@mUbEaOsBVUVDU5yaX8Qb z00zi%!{!D4@Wuf|rur+2nqYc?y{rV{1~ULe+`9;7$VDMa&Occ}1z@01hoNTRrI86G zRilP%#bd>|?y1K*g&FIi1!8%*h_h}6%iGn)8yE7B-vvIE|4f3fKYKX@jk@1)$mFDm2Ulb)L6 zNaBSP1ELQsEkZHgyrB?GB8PWA^Deu@LxvS9F-ifzBCto096>CH5EH~vfZDUSvzBM& z(J2cN4~uoada9Mv*qI{s2%LAwHBBxQ6wzCC6zCUq8)hgw?luw+ra!pIq{mWXne*DS zvy4=z+q&#W`9lVz-91;T*_}-_sP(L54FB$O^=|io-@D5#i8XIE;aJcM8k3-Qrg`K^ zRWK_fPCe|YU6YVy(Q%2hVw`QT0x{B{{6WHw35E{j4$vgJX8Jn5B)AWK1X?(jrLk=^QlPHzVF|; znYGY0I=4>Cj_3?Bg>r)h5F2=H!DbXx4`{gG**}FFUq`>g3}%mzQc382Q5D3;Qn$_c zqm&(GNUyh9-ZD^Nm5uob6d0G_hM;^2zO#0(^Jh8NCfr&Bncq?Y`dK zfO|LwwcCV;CaRDnf%40ar5f;4nxz+aOBkJk3ntR+HwtOG}oI`9M?V1PU;h%0aY2FQ#GO<42djWGPvX~ytWMA7?!sU&fjaey?^PdYP}QR#Xx{JM6RO>@i1NMUvY-oVwia>ikWS?jWHc@q)pty$Kn!+m zrbDlz-0(JJM3nB|KM#rH@MyWc+@6+i(6zyV0W^*MoPEauL{hkxr;+$Fsvc5=pdjsg zLZ~Z<)u>OJH5#^6nB?oXZx-lVR*{>yqfZ?Xk zUJ@6d?9Ea_NWGdGF`Pyf##aKlF=Bby*-Ewrr@a6~QV-1Ebk&y~F9cgL zU&G4~uFO1W$1PnlO{-w&%#p>La4oNiixxG5!tR8Bk8Q1yxn*b* zf9&Q|X^guVM<|1R9-A74ZMGRfll4jbO0(i&IW#{N-kjO*@>tfn(wKx0-v*LSegwqA zuD=a{%pqYk=rurhLzFpeY;6NT*B@961PwRq2)aD@_r~{t6jWiJxp5zhaMh_9HdzSX zdiS)mEsjTzk{|`#ix;5Pp99M4llu(#8tC|8gHP`!GRq`ZD(|` zKco|=+M~FK7)VutkCUjQ)ng4*M^BwE2v6**LcfR|=X`AYGR6&Cfw`Y4V0*t~-{uWA zijhuJr@Y@y4*F1I z2v(H1ty(}Dla+`u)5D&fAyy`1Iveyd=vX)2#&ub*LYWIaoRvl{IYP?8lQcUz*uCc^ zXOyESH!YIZ(U|0#u^Tm-w7NkUYAWzTtg{y~#_Ws~Tf@ep2E98U>_@{OEi>z7ml@Ue zuLR%*z71^LpTu;*YW9Rm@t(rC>lPk zSMH@GcgqF?90{F|Y0Hh?!lU^n6uVKG^-svuc=RblS+Jz!L`iYv;ZdCAqF7!j$9xU8 zP_eI9&2!aMM%q1N9gV!^F#l z-@ldrI#{QlGA8gn^ToMPwwX^)*FPf|y1IiCm7*0vg{&z^Mi~FRjKXkV%}DD2NBGus zA}Dyc>P*+V_#S0@K1qcaO>{=Vgth+|g{38^+-?p2_n5(Rqde`$I4kE1HlAo@nxXDM zXM5dJbxP6QWamQ`%3xlhcoo$lt>Hevwqd2pl1_liLInMx4uSp%_6`Ss7bul~wzC04 z07eHQEOxJ3Sw)2if$2bE!J}!M!DfL&3tAZ1UVPhUNuAzBm0=@=S@f)oP; z3xW+L+WQNOmjFyW(W<=R;&KVeF6zyxKs1;QQpxpBJ+j0wJM&>!_DAC{{oM6+ojDkd zc_MGHiwq1QF+hJ|j-X0mWP)!ExUz1Y^o@GY zN?mj=hB8Tjwym3sHdDO@s-L1R&TiU?T_g~6iM<$V?j({gm96&NhRK}fny$}hI_B`t zHF2XF?n7i2tfFy83Ek}|(btv}y}+4fu#kZb*A$h!7p5#=*o#|VoS)a3@xu)AM1~Ub zhBt!_3D)8XpntHD;7WvV>swiIK_3KH4U!Liy}iEg-;2|H*X|aeCHysnXGRlVIS%tx zFy2zKW8!K;vt~TEz6;FHwr}qazv9ij51o)ITm`nb^~3O*tL-du)ge2&w90G(XuOQR z$alGT=EZy2^i1b(ditLhH)p-fo=N8j8WfMeDq7W(j_U*GU3__aeVY0VBcKma(1oGCGAvX|#$V~tlL@m-$9H(y_HSAWWUXAFEWn$OzXBEXd5+Ug+*5v!hytLeO#rwK|w1U2PJ^<%JFx>7G^mz9;ZENN(Hh``_vfXUxO z<@|G-@DByXM4%PW45!=MqCjZYx~+O2Hm+;6$LIj$7$EMF{lGp;1q||^HBaDtJu&?- zyrgI#0F@lNCrm-ac3FdUSCh7O9rDh>P+4ilcDor)@yYzc%7dhC) z1IA8WPo$504qAN16K~u5jr}1;Awxmnhap*Hf$t@Qwr&%F4DN@S{&H!AzF<^=rwF4x zre}If#5w~hfIV}vOGjAJgpXVX4g|I)LeIcs1<(p;3F0>t0GFX4!#4OjFffI{fTE(m z4%6^(V5WkWAYXGfR%$odXnMeM!oQX$hl*4X6)+qYz_n*W>5!z<{wo~&V%{jmOqCh(geh813REksA0 zU0pdqB)U=nu0C{4&@6)be+6{R(7p;rhkWq>=oS7(q`evr{F!{%@2fFZ!i>6iPFSr; zM(5_KIsi4?s)`nC2Fr13bz{ff$*F9?V>fwbW`N?!sU<^We+HS@tqSabYy7gJ;;*Dl1{U}mROO_S6U!^7frSW zwnK*W)gGwK+hZ+&ReL&0j;G|0K!RYpJn9^`@L0jl?gIDq=Y*NJc{C zz75H<{y%rElfy|7!Twmym9204>)UP+5N5EU*gDw6y88OrRaH!IK><0c=ky~$)5}X1 z$xa}7182sFW(%BurY8kfC6cTyP(AzooXykICH%XpL$6{aF8IAw%>+@ z??SxTdv)q(PDRtD7issVX(efsEc?P0mwXu~yFc==!p!x&;f1zTg1ixn+!0`Yo&HvAp!4 zO;QHOLTn3^S#Z?J0(${!E1W|V8qh#-;GRe{0VQGNw{nd2k4)VBYV_Rv1bN+9w8-7h zA=+8%u|;Rc2T3rcncnY*6O)qWNW|BqrW4yABO&JqR#{{@fY3^K?i9OSNbN$zbP3nr z$qziF>|t%d4F^}#gXOMi4}Yw>8BD84b`%s8c#H&X*+JwRPC8`pAa6c>$Dt{N1{ksg z%$@>#@;LB)4Te0({c;EIxdGSjh4juD1g;lNCe<25LsiqkRDC-HMe)X>T{(gf{X*y)|V zppuSmQLGjwQ%W*ty7Wq=F=m;Acg`kuT&Y`#&*`PHpkWOTuC2x7Y6W%wyr&Hdt)n_4 z7^rmbA@cIO6F+m|1@B|^cp_=68OFC3=1f|$MEWXwKgRw^Vdl`j%h4ATrKCs`nI3R~ z@0S=Og@qRr+o*?OF9gJ3*&z@Hf&zqW;FIAN?}A*aq7pbCa`jcrTFKO^1fNX&T zsAA1KzP+zPJn%Dfw-{&wd}NS60Y9O9!OP#<+v{KU-*S47pRARG(Cg0;XR;R-)WEof zaZBZZgohoB9U$3ScQS%H!of%}3DaYWZ@$>`J7^z^U%C`}JiO!@dknL5!k#-TX?M54 zuxkOVs)ujn(7FymM1&^;@%)kIGCef_(@T&(g(+}AaI(v{bNbDH|0u~{TY#MVM)LK~ z5XpwQ5OG9?LH&F(#{xs(#5*w57YY{)8AS1ysVd`vnbtO*jHYPsjcnEd!)n*JJJQ?j ztk0iNpaJM1it)aozQ4d}A=2c!?57nD%M zc?YQ);A~xK6IO>wLf@Vjj^>Tjr9V zbBT{_mRzXieH<81Fm&J3`H%VmPAgc~;_7gmgqlT48UtW7m8)!$FQ>bomWo9c@{gWn zN)kBN))4D@CNi$+J@o9=UR4ej7u)ziwW=-jt&=b{0f_m8{}tzYFiIxD5oC_^?;uV2 z^m%d9Vq?C~i;_VQ##;e60q{dcd?3|h;JiLk{a7eM^=@=GFAiuZY(emR1d|pcT8wYs zPSvl$ukx{e{O4!-b~zNm2sU|EumvTGkg|swts_`iT=W=8goFY@vBl1Z-a&}7fwGd4 zKOcXLvOTEI(=Mi)0Wzl5#)1)NFKeYaLFx}M<39QY7?AJYy_@#BF6bi4NC9Pokv3F0 zqoq|iNp#@OV;02b1E~TZb#yQ%KLx|bjWD{QhfGXCX9Y!e$%XCgWqW17ATSsuYKbia zQT*0hBd(|29#b<(rmA2Z1NcL2{7TyoN5&)Byf$c%r^-m0f`&mxZqUg^MJkNujxDw< z8w6Vm`ErziJQxO0B_hA#aQL9Ff?JoKo{pgNzp9h`5hHw3I68{GF{A1rxLImr2A>N^ z#4ZMd2|L+3N_bw!*p&{f?ul_6Oi#a~PPCy|JI?FWqQ5(Rz)$Or$`yTWBTXAV&z$!= zhS_?$ibI5pDUt(PXpHOAE&inMvGXb&_s8N-D`|1ldaKXJYRt`>(#FlZ>%>$G)L%gHQ zAMgq0(15=ZXL{5=eDI)QYiZc2`}UDe;OAGoWDu8D{tRIPhLjs??_rYg=8^+|L5N=H zg&HVq8}|Y6)9||G%IH!d`Um1BOil8)^H+IACSI6vN{~()) zoRoFCon2jd4VWD-uL58RGIDaLCr^vltut2TMtXD4HMv#PWXU*lzEG!jaR*2nafe@YzOIf$qNPw@T+km<(%8AH zGp22YnZg?5VM07pS)2`&KSX^^X@c>+S7zziTi0d*dFN1mfyY*~2smDJO(yJF3f z{XW}&xC_oHN5@rqr*eD^2xKf$Z?LjLx)Rdaay#P$ARIy#9hh28I^O+M@c%SP{*+FA zw=Ub1n&mI7z^4q(ZW)McLyOxD#dD%0nJJBdSwOh~A03%1gmgDv=4}OgP&Z+Jz->aB zDmY_9@;!w!LWrDu%t2g%8O|3AQnOBqUON-PFph`h6JS^YoJ|NsfIM4rzn|OKYx5i5 zm7WPlg`9qNNPWWqG_*L#NQXSg0P7h>(@&sme-uOh+YFS<$xj+TGh8({J`OM4vie>F zH?07D72XoE`vCFVOYeRBB%H)?tKbq(#D~XSc(2 ztHWSF{BVC8fiLwSBItGOb6i8nzN++Xh#>;!?7rH0la7d(inR&;S$pxuC=5v~*Y4Xx zh7yV%SB}ymsOrUVHwnbbf*bxMYtT#Tp7mYu1MUUjjs$9Th!j9}MsZt4NC!iSgpsvk zhcP)Mrt?qABTGk}@a;`++DiY{LuE;occxe^@S00rFmGr*B_~zWjk@3Q@rb?FcGq&~PhU<$I2#I&kreDC0j)5^K|Mx)Mi zhFGl9IGXte>=_W2ZPli-wY=8|a)0Bpzer2-_cDRe2N-S-pMi_m_52dwgx)?15${3hhkz6@sIN$b z%pL~XOj?Ak+UZt(76KjviA~#-#5A5*`T?{fQNR$Ubc4K3^z=HL_fE;P~U+v+w1AG1HUpi)3oksJ?VMIrBMvGjOp{mpLfL|S}RCpFep=y zf1k9`m<;SUW4QAGGKAYy3hPl?TFR<{#T)O>IJyXL1euo2EG(piMdg6bZNM zc%YSZW6!sU2R;y@gTRe0e!YoK*UDM#Q)4slPLl+G$ZLo@Ry`9`Ht4ia*e&D%606+3 z%Lz7%mb5k#?7bH3 z*!HKGF;0k&um7_R;zGy>ce++EqzFL0fxBy5v6O;A|E!N6S)ii8Hi1(FDJ?xw^~q2u zM&L2FKo5XK8NIl=SqzZ?A3N+IY)ZxmO>~;n^bS^n85o%&UA9+;l|S}s*6*4xWLMU5 zi8IN@JmQlE!aqFtT-qJfp@BcNwd zb2aFz?01{)jviWn74xLBDUS6w2+ivi?_w(Eu$4`Z<||aQF?xj%mXIavh`Qun_Y9@- z6oK9#s@}Q70>c>~CXyy~aFy0Rc=!;br^ltN;jSH%tTGT*7|NX3BTNtok`i3kHK`O> zPhl9!|0W8HfhZF&lDu%K=sJHD5+K}V%Chs!8d!vTCxpU~WO~Pa(4i+_bYA}g5P^z` zptEK$gK$m>L8}lOgudIs|Nahge-ltBx}~zUUgXS-okA%uC(`e_U$|3sF-I3W*%S)O z>yNT~RFG&b1|P1B=`7rF$6a9irKI6)lRG9RQAFhQ$oQ{7l~@uTpsePFZv}cCz`sG8 zRFP5C7P$SM0zBEz2fORw>{*l;MD@GmVh62~WN+q*`9h@e!R;J@{z9&kG+j8fg+bcebKPf=uV3ZgeM2>SNJ&xJ?n$nBPpX>b@g zi$-qovNJL#7yNf<45mT~7QDNJ8TgT{#f)vs{Efvsw+5pi?TCa6>6wXK&{-5=O2f|T%!sEXu$}m7J%_qMXvdUR*LcLn3=V8+jbV9Fk0o3|%I^jY)mlyU&jkvn8D<-xe zREn#eQh4Ew8jd|w!I>4E+qe0w^9*792` z&zb=u20poq(657Xe6C1S!JCjju{6L$(a+p#`?L!6877aFApQtCD_CC8LSW6|Rstcw z-t`PQL#=h~xsC-|XVNIdsNuqBezVej%_CAF1nFtBiH1OA8XV?XZWWnC-nOsgy5|Gx zsNe9?XMkc8>$}+Y8+)ggR%e`Eqc&b3?%cj-nkPq+fcG8fhCnDkn%suk2*0S}S?9j_ z02w3qEdDYEzA?ucWAG{0nFb9`9;rnR7;6E&OPZ-b+o*B;sc$NzBC=?Cy9 zh}r?^su3Y!!1vlMwu9meq@Cuc_r6_;=F!<45EWz93Be5i40_(al`%564ywT_3`|L> z)hzHMQ2*w9&HHyN%hi8AgG&+#@M{7_rsht_cB;TV?K-(swEYHk?e&4fW%LlklmO@e znIP2w8if`BR8uXA8Ak3seZg7F26qZD3$D|zitc%rH7Jd-hRRXgkhzB=E1C{DryVYV zBx{{oy3n(rqH(F?jXu2w;RUdc;1(q{CPmav>gW2&c(8ft2eOC!zbvAE$NW(7t3l&hTjI-J!6kqh8{cK^_qnz)SRGznn3e!1I)4o_y(Urh z-ucC}7NDpun+*0B$Y?is-6$>Y!4uQ41Ww15C*2|2@)i7ag-iK3>T&9>T zA24ZrN<B_reVE5w%r$TF!%F;(O1H*Z9vY0+S2k$)MurJvv;HodHWMN z+c{{7nBvA&qC~0^ox5^nqMv^GrP1w!b9&`sDWXp4a^l=F*HYXvxn#?9DHk7UeD&2Y zbWAc#+28#(%$i@CGWhN+v z%=jG)*B#z2a$<9tmpP?&`q1vVI$Dqs!;_-9HKeZ8A^oSuX~?PicWFnl_u(G%Cr@Z* z6$|+V-EI+&M;;*>;{G&_i5F(uAbIjy&P%6Wn1N$A-22QdhZ6sIt0G=y4oJd4;C0{@ z6`zV!{jb&|nqEX6-u1;y4P*rQWs^-ZilU5CqM>vf5h9c%n^a~btB5p6QYov3EerwW6653xWArfUKazg#pOO`OZ>{;`)E~O#F-hV%Xsmf|r3+ zeU^d}M;K#FF}f8#_;^+RNY}xd&djf00}j_OPlo<{;QV>h@QpiIK)6{-x76#?f43xVRE&E83;j8>Am>oIip=Lnw?YM;jy9QKhyRPsLXH}m*zuLc01IJG zS+<6euIQoe-w)O-jbe0xMo`uzvgHSizPkrt@b}I>Atr6GM-bHEX?AiIe=^il zyYLsFdyTY`X^2NA!E1<&uMOotV?i%+OG4CX!`*Y3aP=a1Lpz?GOZB)puIYxdi5RZD zhGYuKnd-!h^M=s5iKj~kiigBG82^AC5*dB5bm3nlA?`9)V2?SUl-5Q!I4d{+x**^3 zUDMQWeIxU0@!qJo zU@3@WNz08N{1RB{Gzh`E_eMA3H^|Ns0#m)tvGqh)^Sed7jrKMwDU$l^L^f3#&U01K z|BMQSN&FkS7x!?d{)yVjYVoDfLyPlV_hJp}{$g2gZZ-EkVsU>OB~+@BG5VkW6Uv6* z0KHdCN^#Eq?zT14I>M<*M;ssGZ`XA&hLik+FQV{Nouj+1>S)gS2{9$p^!1eL!fKa0 ziYH4QimnR`mQQ?tm!t7$HG8(Sz@0LA{ZZ$7#K@C)89w~n+6~b-6BB0K!YfeJeKGM+RpUf{=G1OYHGL6#^DNbs{ zp#cU4coITzZftkqAtr)vR3=FfG8mRCFl796SAIh~5YpRrQEPKjO%=(44W7x~uFoI4G)Oi;T7&WW&D18MWXu zk$pD2l?*X(iZ)okfUbmzQ>ucTK^Xi~8g8dtC(Xy3tLq`QQy(cMgHQxX4@A-f@Kvj# zql}0T3<3%%W%VGf)rI~d1$x*Ei$nHs=w;xv0M1@lu=#4BVXWBUnb8hE$&U&*jqyIj z7`d<9lJ>%B0{E7ho!tey$eJzmr18}a+djG4tj`N1G<=OPeB?Up>vy39r2Do9bSd>QI;I3O@LX&4(P>c%zqSi6HhV zF1BEJ+EOmDaFt<0+Zxf3mvu+z(`Z|2(&K&K_aD~$t6;aex;k)WxDs?-llG^oe2z9;COtLZjYy3 zjfq0ZwWxZ1&qFo!8gqxEz9kl2(XG0(uqiBNO0>_V>Cv(@jtt5bO@CTFU57uzo`mgPP z-RCtIEK7lvM-LjH4NvNN2FH^wo*vJIQwhV0=8P&YJ|BDwfAR^u7jC`pUSeEZ82)tV z#_b9sGLNkZRvCRtq?>)k1;Ax`{*$|% z_QjvAaEPk|A^(ZW=mku5veyx_{YQ0Jw*+9klricqQnGfBzO9kwr!D|n&SlIT7|5>B zDv+nSfy{Y?8*~i%r!(CMz5bPL#Ywz7sPB-=B2*fcCa4l3p}`m+k&&?!`v59q^kbWf zVnAIWnpCoV69PC?McZn0^EaOlXJE9ph<(-=HDn+YO>Yvf&T$|ia+pVC{3$s&m(z~OR&DOD*TFX=4nulm|j7y{?F$i1hq>o-)S8wtP_;b=Wy_t~5 zu^s!UX-#VBlj#wc-BWu`>OdyP72~DbDhiK&ktPS1VFh((RKEO3NQB|o@;Se?EFo_i zw1|P5Ulp{_Mbv-Ge6IMkJx&HZ1;d?3*u#_%=OK?PBm!!n!c!0$NS^&uagkn$)q3uR zn$PyfXTGO&4KjjJD!zMUAMQACE$dlDDp6?6_U#kvU3T6dQHRHHb+rcZ+9oBy!(jKXJ{|!8uJmGzBnP52r2}B2p!p%L zuyJL_yClvAJgrB+om4l1~(Zyr(+W;pEiNwWSd;w(r5#$OIRd#J%-8cfZZ#OI~ z^zL{O3W}{qN}PR2i@;5@zn{Da=Tq_Q_FE+3#ZdD}GK_u$XHT*l#^1>|{HWbr@b0F7 z|3qx+kMDm+zE_4&;P-rrk-=gJ<&T_yQeX+>`QzM+1wJT^E~EU3#2ei%Ej{q)0(5*} ziv^NvHnFa{n*O6+WlXhec*|w(+Fxh9dee10J1AL|^wz4-1tU{~i1Z-u2IOuI)EK}j z^zOsoo^M>q!mEiV4Irmq%D`lEEwvVDo4V8x@5J}V5dDVyG^2KqE`@p*Zh*nLAFJ2? zv;M@RtIaALXZr2i==AahISh}E8+qEnVx4gNxc2jldrJ-%eHL9xQG8keEl8pUgQK%Xb{JnfwRfyiKywvT#&X~P^D zF?wzHb^SL$(8K4c;8|KuwTfPK7tBLWCa;9-cX6l-1_YG~4YFf9&Q9?>=U;sZ7(VV+ zBHF{TB$MUSr&iatK>!AdIwG95X{{3dBVn=EQ=rLTgY*Lmx#{|Dlm%!ma#x0+@FaWM zE8CuHRpHol1ut~QojW>Lw!t(Ch~X`=ye+K-5a3QnS=B1!vMcoqVqQV%r!3a|jwaGu zkSYig)j_HNq}q6KZtRy>X40chH%I^Vk+nUJ55`L+?#sm{7+o+|LJ|VtYuMAroVUO#1 zLW9rtXGF?eaXoRlWbt?Vn+CS{MQbTel1oiE%5i{9DbWEQx35^J6<%08uljekD_3vr zR*ktDQ<4vvWZtTan}%c?kDUa3|H}VwpMU4blkWr(9nUfK%dJ{OMxqA0KmabDAaIdY zB1%0SH903)t;!R=TAb6> zh*`K0NXFF|HtRoW97@*x=^Wc>Z_EY+L*=QpQO=_0G^vO6I3GB_pgwS}5@Ql65)=t3 zsjJT;CP8+ZzS#z4wXabJ!z&fNlW31Q8O4iQ0_u}T(FqJe!phtuRX4Q%y&~QXR1ORwq^c?;h1U*r+H>2Lj=?;u;Igd#I%o_(Z_HcNz z3v6}fmU9Ts9X^_No8|G8+sEeSz@U|^zi$m_weI?BotK@>_QD_S8SL$p?7kFVZy&^$ z<+$p4KmTSIxqGR3ELuB+g;6g1iH%g6O2&{eztp3u%%y`;oRIY~jY~o#gR57PE>9fX z&Sg{(eDql^nPb%eu!zB_&(8&YBBG?FQT`*y#NME>qZ^qpgy@R0*m=h^IP2#5zqxC{%~X zWq=yG?+c54cTu{34^3`vTboD5`!~WDnff^mvn!=J!$Kp1XcCHQtD@ONBCT0wGrOv} zEvP2ZisA|15CRaUO_hoMC7eKw5!9UtyIv==m1DGjzP6K%@d|B2`LIrg$5FblS|-EU zn7Roftl2+tq2I19@LswE!jWFx7k&1@`CZWi&agLxPs@J@F+Y_5pyXjW11k^Q5ECim zvksYCE7_*}OCyFW9VTEIhi=I=o(DRD~%Gmw9xH`Yf(7<68;?*OuQ)8MU;vO=c^=^mLD- zVCuYI5&A$EFpo^Zg(ivswuo@BPmoTobptLN-bR{tA2 zvg%H4KZ3KiC}YD;^6^H?ChH%5`AsN7639(uxQ8IITA4EtUEv#0{r&k!XDLzUJbBVJ z=D)O{CW`vxKj`8Br(Xp90Q3Bl|| z+I2nQbDuuiIkjEV<@;-3ar^Arb!8?FaZ;PTv~i87al9T^sN3H1Jm!)lPu8E6*MYYbwmcVPm*kJkQ{G?8B0u-7 zPHBJ9XMtb+`u~a7 zIOMg=*O826wCR9~i1rh$EejxXT!x{V<0)wo-e|c~aux0Yutl9x?ij0w{Nk zB66a^Ve3K&(q{E#ym?7KoCgSA2&&ap*D3e{A3uJa#PJT0m3g|aj9EQoV<5lOARd6M z_RT^i>@fN3!>!HNjsN9AoF674U@NXBN01Zy_RyAYm#2boG|W^S-TISsUKokoQ}nib zk$X?6Gah&mvX4L!UUuKatAqxAwri(={+ZT+e=)j;5IGDYj!TOCAx#^&`RBnH^ixRV z0to{$jvQD}{!a@C^nn8$?W4w*LHUsZ{hgfziaf1es`T}^ztXLO6F94}wHIQ(VgchbpD&u4N@^+{zt{xS)h3)n2o z&6_e740^$JaV;$&cpP~!!BM^NP@McE1$?q>s(F`E*YXcqpCGV|0)r2dizrxl!aH$# z{$UpFr@obOBO(X%;gWSc$FdH(MTA?ER9qrR{R!0k{P3wwOXWA^j;z4RASCbFSl^yI z%<@)fLCb!BIhkcUhWrAK%o9Po_wU~y>F_JtJVU4D(!)#;Z2y7|62bowG&ZT_Lc>aX z{J+DG4v_Zd2k1NqRFOnafuK|#!Mx9hH!jIMg%`#9sE~JlMv@58pjo&;ziLR=w_fpbknl%?A=hSl~^`Y29 z*olh_Y$=L;v`H38$A*!B3F6+|A7{^dr3t!}+_{#dO3~qu{`w7h5qbQ7a#YP&EEDR+ zvlr4HUyFRJRcDYSG!r3ptKJ*3?eMiW$3O6dM^uI;8C>kTl# zaglqrsHt5skKndtY75n`im~-9S|uI{vVlo1n&FKvi{jj^rbpuX8j&6t&--z9?-k^yhvJU|wE>9fBw zC{YRTr0p&T3Wl0jQYt&&gf(npwmpW;Hl0hfkgdvM9)g*U6ECLx=aa<~2#j>Lq5s?$ zv^@`i4-3sFZ-RV^vn`sqop+AlNB2;bcK4m*-<$F|-}YI(7jFWGsz!?6s#&ruYmHuvDI-kN$e-rpi;pS_7J_5y)e%7r`3Ov3mT2_GfThE zfVJL)##;REq4LRkm8Q?1uaHc7+zd~FFT0{Z{%CVbRr{XRBI{h2ipflZZ^}!R7$IIB z(uATFBEn699-HZbtrxyk`_qkYHvZyR!Et||#ild?0vc}>csrhc=s_<^jvJSLoG#kJjEr2>D)8jC^T72L1? zb6)eDp*f~ql)d1CB;$buAVOM+fkE4*Mjb_P-^ED@qq?2>&>G$I7|AlhUL z$GSQ4G(HvB%NmWHM<(M8kDw|W08SEgi%^C&lq;-^#hHx|a-neoM&N~OH+a`1zSc{y zOEGSX29=T$5{g5Gm=t$g_BMkPgOP}k+zu?)Z?mof4SEGp;Ge3VulqSS{)faZ04iYp zy=6j+99pc8Sx#5e(*S$hFU_|i4b_*P zf^0b=7$u9+$krEv780Q~Ds{d@6H%lR;tfqX!16NFDzW`lhu|}FV-Q9_AZ!@K#{l>p zT?qO0A^r=Jc>w~dkaPr`tyz%`itBA$&ulFsAU{07dH~~i!CO=a z)nk*lG3O^N5p(FD6NJ~<>awQ{^Cw=Vb-h)8kAdsK2pT+VC*$@UsrGKXig=j z*|E&q7dkee_6*WLVrHt70|E5lRNGbn`9A_V&pBeD-HV^tBC#h_8<8LDWh8#YMKQQH zoGsd`-+OBLy+9NXvgx#=3|BtiW)B--Y>>)VE}H+Cv%9@~Ae@Nn~jip81;3a@S?;BNFT{SWh2b z#3b+ws~u*%-sd4u$lhM#&=DRZ<_~|WnbrHQKd7x-QS;pA zyw)Mho-puj4ES9F7E~EKqRv$uLE(6SOAj7DK)EQEaE%fTD?y4$d=6k%*UwQcS01l4 zVHBL&B6}`8wyvf7$C(mpgx0s73U})VF&*2fc4i^kaE|7E%;nI55DJHY5LL>`1V|+I ze27(mZD=_+ULQX`dB50p<=W8T&rbhy@#F4C@g>5Q!>t?9- z)dmzM#3&#E7Gyg_v^bhl%B=H?7f4hkz%Ruy%A>?_hweRzA`4+exeT$s+{q*U&54s&Y|Q@2d6oHy`enRaz<`)Oc94pY(_7)@Vbs&E z4&T9@m>mgR{<)Knk22%U~#iEjTsc#ZKe1z6B3i$t#1MU(0K+9pb zWc;4xaeGSy)&A_gz6W+fwWu25Yr|V(REBQ8KNg>8bnvad!^Q1fhA=Vrvd5Q1w_nwY z8sO<(DArYHu@&H1YfGq_%EwKgt!j>HFPi7zU1+#3-H-<&)T8M8e+@U^&LFYYvl9q5D8Hf8=f3d{DaRKZxoUq9-RcnY;ca7QIzuu^@5~S5Xdu zh)j>|HDe1e_7|AiL6$v&L3-UePJuLdoUAs4;gO^6{4K7KR}0~X=Sj#qdv?1a8n=I< zOsE8nla(#+X}^5T&@(diNxFv^B(WVyu$=Xh7V<9!tC~{zsJwVcLUwbD7a&|9+b#*V#FPB;k+Cqk{z{_s5OV zGiuZJ?;M$qugY34)HA(amz_`YxDQ_LqNn{f*+*kW`TUv|h$R*kzO-h|3THo#bDLIy z?Qn^BLJjOeQ2! z%$wC=Y%}q$U@>9(0Wp7Pt*A5%UHf15&~ofruHRv00RO?nB~uAiToBxd#5HI6O5)k& zh1#168xMW>^~dY?znx!5F?Wo^<}a^m|{X17fh+*S#zpt^^3hb-?Ax_(JZ=v4dTHE1N1C_ex>=nJw{ zAaGD>7wq)q(z^atE7@irRmz;J0zEToJ>6ZIK$1U1xpNeRt2$uBrsxUDjJ_ z`*hM4^v8B(wdB-(i+Rz{(>R@Z^7x|zfV+qpaQZw#)Z6kvi(xzH>a&bpYE?+w)8f9<2VRR z0*SmbH;T&kyQ{Em+fM@Vg|E3nkRWsb_j7d)sPD5^>L|sU3GfHd+is+d)I2%W7Dx_U zLD|G=sOhP-kNbD|yvGP+uww6n?TPQ8Ku7r-$5DzPcUwRXU<} z39%5w*Z+i&Z;jv>iJ;CwF8&5JY~|DglY-bAx(f-fUx`Gof-KE-kz{t>!TTXmKYZC(*jT6Ezy)-=v|Ddw7<^I!a8v-KJ`WXIYHvS~s` z;VM$&z^>%mJtA?C*(^*BD1(iu%jLE4UygS;Pdy+09n(q|^-!QKT)$4D-PlvHrd2y} zv+k=~e>BCzBB@d*cHJpXJslIv6fn5<;kWvrBu7-5RnAjv`eSw5m~deecY4Om#=H9wFw4!jaWPbbt~eV0zDC!)5xg8k<}h4AKQ2^h_GCM)sJf%Odbf5U^l0otZJ?5& z7DGdX3uXPVbeM8?cY2K4kGLcHf7cne&xP0PdUDoq8+11!-wCQ0Foo#{Z9zOE510|V z-k2HJQb(%~57NrlhJQz08kUy4bcd$W_VJE1AGO=@OUzEllq4_4+Uia`?NODOJKwXp zE2GtM=0N$O3v;s*C3UA|l@h{erAMD!-&fJH`V!3(qFyu^BoGTAf8Diwk#LP@18mR; zn^7p~?N{Bj|C-TOL)Ay^Be|y&-2DeO6j~X_?e+BZ>_lr zh+%)=r$JcTLu?(elD#T)g63#ufi7u&t{r|rL?}b1u_EkE`uyC=Qhz&%sX61@sZQLm zJgEc&14wZ7<^#ow;+!k@d-=$XM_N`eMx%%|%<`^4%zXs!_@KK3U!!fW#hyJ|sYauC zdC8Jh==IQgcJn<0p#X6`q`{~k(4WbuyHiT}@}N#4@@i=O$r?92|1sax+NjHYRezm` zqd%rD#S5d$uTWFpWw_AD7F@Si6DwnY>gJX&wKZJ0jMwNN1P23J<^{EVSmy~=y`x~^ z==@u<>kajS6qq-NfMzae-E6lR9#c?iU6C5}+gVe5 z$)fwv?Fvs0_wERfb(JIkqNFW)w#`lGbo)m7-mWUrHfHh4lDP-JU)N~c|mSI^`fADOUy3S!==b6<~8D!oXrr5``pkbNq~ z$U3LnOeW|KVvdcmTIAJN7ceLpuvN60S69I(&%oG$cCf~EmyQQofrRTaX!E) z5`b|?;({0v%DXG;z7?ck1Ry9A(sf?OZQA?5XXZ4e0{6w6Kgv*jMbqnJPXZD?O25C& zL7?xexAHfyIm?yfqp(s&_u7#0Zx}W3fj{r6VVHrD)>P$h&fYAt&V8FbLce=P>|lN( z9|8OX7V_!R?=dkk4?R1{Uke@{7+8LOe$}*?Y05PWjJ)DuXe5Xv&dpxu(ylcr0u8co zl@QS`S;a|DA)Bfx9iyKhnDE#4@R&}!b`pRd1?N3nFJl9j+u=!|!as?=m+#!y=-87O zM5}pM%D-lI{KtCtM{dD=4d!?2D!@>n9nL}$0xajMpy!XclVSY12Jf1$KL*p7X+vc& z|GkdUmKulLrs&%U!`EFA&0EYOSk)oSv}Vp|=_tFF=S-Bd-p^r+d_?LaRwej|!8h^c z7h1$WP5eE6kJ=dJ%8At_Xc6%Bg4Jnoz!RMG`mR=u(x3*i}d>}iqGz z4vDM6!7LO2r5225AS=3|a!v-&7zq|8xnz*4`+bp(8mf$W@f{c=mR*x5j5Rkyit&!h zdwM|X58Jrn*vTm$XDEvaEecI@>_ZdfWU^Bn4Kor`BzyZGN=M_qC4)6`10&q>@7~pW z_X02q_EfDCP;}N%#Xk7AS?bf9$P!4-zR1*AZ|WOr7JFy$M<(0*zjj1fyX9?ho5$K2yG5cYK!?bnWxU7YK? zV|0JS9n?=;iM8ouv<ZnAmIiLE95IgD)x7+Y=gY^F`mxSA-co$%AD2>Ih5zj4df1$38GCDFhBHi89WShYs?dcwV6SJl=eVZi(TRvL9WC29cvn zvgZM@!y_SWX#b~HG`3xTO%en$0Z7=`NJW79QlrxD)W-oqkn^8ncz+*~W3^sGKlG58 zC6Lu|spGUhe!XB2y-c_@a3dzzdU8X-KWO(pNog(49XMt@s zfr+m59JHan#95?B+tGDSu?ff8%~S z6Z|A3+Y=KDl&NIJ-lps+EazG!&Pj=%z2h+)#S~(rzD~;6g!hMqN$l7Ajm`>)=(s{t zDQQXDE^7$)c|hnJ2mDmIg?p7UYdZM)%-wI$7tlX2sRpHXiOs_Ugo z4yH@pa^};V!^pM}lYD}Ds_DgnafAA|F_HT1dvgRC_kStcIj4BFxkK$f3{GWE-5vvf zW1mG-N|%;Tcsn=j=Db_%UmblivUa;+w(x%Lc)b(0PBa#t@Jq^$&FVR)_Q)Kk?v#a| zip`rtb(fJ*mb6RZ= z(Z|BMzzdvLiQ5phl86K_ABy+Z)`s!JX|_;&Ia*#Pdl$}rj_1&pRDqvYT^^g{sZkyM8;ch23K{}_(XE| z+HhkzBUyBPxHfJR$zLR^m}Vh!y9#|f4@Kv=mp%Oa8|05Mqc9pPHH^O4De?$3^_rCx}$Z*gY z>B5{nepNkM^krzJAf^o1^N1gCsh{<{^^GW99+$MoQY((DtcclgXECO=sq|s-!fk&; zcR{+Vl`0$()wzd|j7Q~(; z0xii`=Xlxuz*m{YWtUcl)Kd@=ymr*BwF?^zF(8n=+2Hr}|0S&lNYosbalry0CWvuJXNHF{rmW_;COMKh9d|0pM4~_|NO2G2 zA1j+=K}`CMR&Hp5&%WQ*dL^|AoEKd{f9LA#K85+4!XSXawkxFdZ8JkI7!igz74KH$ zeG6Lm%}kbC7JO!8q04vv!S~1H^GkYf*|kRdJ7J~-T|**Uyrw_yC!xh<6SbRFv*Z@* z!(_{^pd-OLhk2wRic{PZEK=*G4`9;(nnfX~{C%H;+V4$nv6bNhQAIiQDwq*esI5k% zud^GntE6m8-5-RU)gumI;$D|K{q-pp9=)FWcl$G5D)f172Ms*2_pMuvH3Zs<$D!YV zHdM!uFaC@9T@DX+s!$Lu#$Zd@sQdOrX>sP1B$J{WlqA}+8t((No5@KZsZ4Scuh%jP z75%^#Dq^bIq8oVWYi>$@7zzpEnQ_lxaUP3^l3OT))R$D4_Q;yfru4Hn-uLpFn|f}j znb96nh`A(VedD%lDOb@J?Z!t}|$3jy7so2gxzJyD0x8;zX zZ=DNJXNzvo=g+`Awr0my!C<4y+{|B3&!q9cfQ<W;SEshJ<8y_66sRIsZP4vK_a_vkbiY&x1v z&ktHRwcA9nZCYD6w4pBu*AMo9kUL6fg`#EcbptBgI#5m_nI~8!JXm-n=$5a{foMI> z6U8j@-YV8*!aEL@(^S6flWEUb*g12nR{D{Qbjb&k1y@e&C1YN3sXu<~b_Bz2P+ zy`D{>Ce^ezDn0Ae$hLN; zjZ`%9!?fw&^k$vFU^Xp;C%~M)QsKTCg3fgZtg-J4rv=Z{h_~gKc?}D-L?uAHJLBIN=AqFp-RhyzW%|GNhG$3ylGE!k~!R zQmV&w9HKwn*ImjgdJBQhx5TM((TkRz1yQr0H&j?+B*Y4K%_Q3dQ_E{d)k}iq0_0=W@^nxxFAA?5)4vRD5BdPYzAN~@Em=Wvz@v;67$ zwDsEh`x~=l$9h`SY=8_O#!aV`-gc9}&sQ+A@c#YX@j{|6KDBtQ*ClgNAuipr`px&N z3t9$T=Xw%Sz1RHM5Nm#)X1KM+ob+kg16a<(!HC=r*u|P2nKIoU!{TD(*5GynxcE`g zv2|T|$TtD^WSl>&Wzt=#x!TlJEEa7s@h2GrGBJby;NP-}W)cn?Ze(n8! zlCgIP|0Z|Z=Zgt;Gw0^z56X#*xZ`6tdaJDPbay}WG1rn9p%Bn;zJp{fL0@UvHw+`I z?;MT&69R=^uHSD%2Su>`;^6)u{>F}tQ|Ib6!;Ge^tN+nOS-O_mfN;B=53V9)ARU;Zm zWpLj0%;1pF;k#&DkPr9tEMlx8f^cvE!@^V?Cmqve1k$ZN%0S5f``)?KGCoIX^pWW4 zk*$u02Hc$8)p%K0QmA%cN<(t|8RLqauN>!hC+^mrc>}KM>s`>PUaBdRAvb)(4YxEO zb8MP(d}xhDL-^#gwmm18X|6Ks_QHxe^)*BGmHaJpO6a_#x_X0uumVXj-h?Xvc4!k`IY88{feKO~od`^5h5 zqJTG3M%aZ5RP*+M?TxIu$e)z-Jgu;Uby1uAR!#X6Pw~jOlHJ+lNg0LzgmP8Vuc^PY`vI zFGee3@xbF0dMtX*-n9L<2ls1c2B&#>`3*@0-}?aTIiEP8WoQ_B<@eLif3JICd(-&) zGZ!A34ncy?g$b%_?#ki%e_kRE*wL{#lHoe$Uj9zQKlncJT0;$~C56?q%xPQYN`@nJ zZu!14f^NUPE|Ak@7i64gj|v&8UzS=?BO`~q#OOILVJI_kAwvbaVJ#yUwvDBSO0m$f z6*LVMg{?MAP(cC>TD+!|lu9vCc>ft6dA1<^vxC#GNpDFSD};E=?XyqQ%mnSZYUFe zXEMsxk$Q?`ZY;)+ZFbRK#?#1Wu>0cp6n~b>Q8`P`Gtt?J22?^dL9YT4RoJN==Tqep z_;-Bs%BY>ohP4CpA&k*Ttr^6)kt5!6rYlNAHSKK85qKC8 z`QIeBPo*z~k;tWiAk6#9fTNQ}Y=9WqyAjD1_6Auc=g;0py3!iT)6vo)npXJn@)OR^ z73gentz5)*hU~|XcX)rB`3?geS>%8+sONa8-wjdJNL2de=j)9M!MVAGj5(@JA?6Str)=KzYh|gjWxZ#GJH&E zhdCr3C3g|JYBF~VEh&R+NsyqQX(#K5Dd%wsh2+{ggWPp^|-DmSKYq-H*5+!_j&D>YMu} z%CV)+K5G&LE`B|DM>|Vnvh|KUZXfCVR#SDyhlEt4sX|CKp1rGv5GsDlag=ljRMKIN zhT<~bL#)8`=AL!=vP?FRxmtFLM_S7i#MuTGpGkXmC-$+>xg@Cw#FEGz1Md1(C}G11 zx9U|Sd#x2D61GU=O(^;fO|Zi4Kk~N(a3=;KFi*Yj!2N?yOv?Ju|7<>RFI5_R7lPc9 zu@9i*-!~3p9P;)r*C_eLjj#}W8)$>*`cI$OIlfH$ z5)?~_xnM%3G6w3fKoBW>L_J#leuQb_d&HtHmN#P?5fQ%XhH?G`rJ_3IhxNP&VCaGs z8MC&rMnufv`ITgB=Ael-2|O!$szWyl1Rk`S=!eFj=jh%#Ss57sL#3}=WKXI&Y9S-Y z;e$3DWzFZNm7_UIXT1hNm6nJk$YGU?kH$o8C7 zA}#gzX8ZjdA=RP!fl0$=8E&^{EPw$JttU8mOXp{Qwq(EWT2`tt9@lX$E?JD}n)~ws zKmFFLujUQcWlC+a{v5k}?;KBa1Eu7l!Ej7Lfp0nW)LRERJVca#f>Mur*~B#z1$Ydk zORPqSBPF(m;Ys`b6I-JqaWf%ZnG%pIJp&mQBEjXbN6Aue4;~(T2`fRgL%=gtdWQBX z1t2PDF@{F97cpJz0sWp&U4Lr*Zw5~1ee$AdXd3h$;c|)incVVL#m>>L3ny~&@`!B* z$P`2dB)MYzOS*1YeGT_Gyb-ITvv)iR>NvgM@j>Wm$b`{==o{-smx4DZu(h zJyHZ$x|EOXz(WS!lk-VH-B%H$oxXq{^;5=zajO!*W|v3lJ1s5aB`$u4`66J{+Y8}d z@Mc>U^u68U=LiK70K36}cd~u25L^)&!he31=FE3-pu!|kpx$Th7Bnw7u0$V$PGluA zf4JR+=16=gxCGjD(`4oKaDH1vwv$9mB;;4%tKXUL__Wde{d2pqHkO%UT;+(%|C2O> z#GZ!SxfQRISP4OMz(DXen>zpXL zXQ8TCo4;axHte*t$2Q-VYbu_1Hg;!*@P}c?kGML+ZvbyuZi&-{Ogxe}X_%O->v#o^ zRkav-lE5wSpylk4)-?R{%N~Q0cYEsTW96S4RKzUFhAA*4AB31dUq7UJl}PmNZ>$ud zvTD|2w6-+f7}J>_OGn0@zwXYiAO6|WqGZZat0cTGni49($iQLf;Q#rpUDl(s6~DjO ziI<&}J@inq9U6&1+$Vzv7eIu;k@zL%WOyDNSocu#WQO{dbl zywkaZ?H;DdGi601UynUH5S^MD2~{`JJalIZ{k|sLu|k>7l}H&vDoH&ZqsDJ@$;zp_ zLt=XqOUi)2O2#*Poibe7_IPjZbA-CVfpYm?%#lqm=wsqCX;K(4fv#ZB8Zcq}x#FV7 zn%8i8;RYdU#4pm#pmm685rcx=!(`KW9G>jnbl8+%c8!y~exCJ~lJQz7>sS~GL4LvG z?^vC~XLoMgt1S7JpscJZyFBm(u$@;A4axvMBoziP3%C3+_oosrP|N*YTmUHm^qGn} zo;yOs%)hMaH8k6ks0(-lE}JZTT@S?}5;MdQ_U*YrkCBi^^7R~8=#b36`K7lb>NKPZ zN3#Y4fkcN7T)@2zISpNLav#J|;35$PY&Ft_&cT6Et^4V=9Xt9?$-hpWcH?h|r=$1# zH|@xl{n9GWeEjnWbv(4%a4A(E_aoSwj6?2)oqDK5V*V>OVTkk|wvOf>qFj%$p=h|Us z3(4q8C={+%H0M31NNl_QRd1_yj3s5AP>;Lv`k&okq{qE1{4-@aKI)asS0?&$c=B?! z?fZSn`iP<()gJfmDz@UYihFQB8TcYh8?gjaST>MX9J@}{p{dn6xp4hrZ z_TNgeHQ7UfRfCN3m*3C%s*}JXEQ4UziaFK%#N7Td_LM8~UdFBd#$l%_e{1kEqseI- zZVqd>Jl_p?=oJ}{xwY`w3%A*GFRQs1jK3chXdm_Z&O^5Cpa$Nc9X;FO(R%z^4KN^+ z6xGnOGSzE*D*IgE0w=z&`V_Ui$9N2z(l@iMD$Wy0e1C$Il>~4>1hK8MI!Z_zy#S$T z-xuOhK(ws&;=&?@viGj>!1Oks(XUDr64iAU@g;rCD-qg&-SyQudU^Tzqf?(FAgFBG z?7>iV9wGjUNN@@H83a$z$*i#AltX}=`R2_G;huvV*ZHyK{{4B6O>ZeM;y#mq%Hqa{S+aa>+4TfRJ^GmwUCIVXJ4{j2mqeN&j(ui!ah+^knE%f$L9nyoo>N* zO$@|DMF(DG7HN5rNF26zE%CdEHk2NYwZ8GiG5;4;T^>TSQ&}3}kddC$x-pHOe(<4j zrnk2@@t(BhDXHPvc>4Crr@l1xpWmA)HM$D3oY!z+6;cn!!|ea0?|0dL=m+ic&O_W! zC2#Lnq3h$CpxPU-7&He4GZ-$T7%iuFmhUzcIrT}qxfcGcSnE6=)oinRx%X*B zP74P*7gHB*o|9}=tzslc8QC?$va+lgfH25IkhTu%|9XD{_KU*a2_qdW?SemMNViIbn0oE(oY@Lf*7g1P_qSt9a=(sumC(!z^>t2+Ro z(>aTTa3OIz?>DhW5jyw6Wa4*04Gn>%*~q2Oc{CYLU_BZ+<1s(Gxz@gbbnE-WZXWz9 zOjXAj_8?f9@n>YoShpKR;d_eGZP3*TmF99D=1d?OO68c4J|z{+MZX+mmtn$2oO zzR|yW#z9Tk@K%&-Kb5gNFu9T~bXksPbY&#RZ1fQgUId7)JAoy)Y(@XJ^le|_5uz26b7QEVpLm}$Ct z@eS-jV(#IG)aFmw7Tu@XJr(eKJ^KPubyWS99oO%Rznj{zY52vIP0gbposYC8auHi4 z{n*j#uEJ|9As)Z$3Cvzz|pF5{FJ$y3o zT1+&0W2lZo>$Q|AdDoF2|MkSz&ilil0@YPT-(=3oS6$=XQ|~t@yJw48G#=ghXmS9e zJe)=&rOYbOD_h+A8%_M4;QqZEj(~FVuUvmr&~4-DXOyZJPiD7*7z1g(ukly6vs-cC zWml?GIzN>?!6t>?Z8GX6oZR?@=R_GVmVM%DzPH(3!ITAj4pOC@xs)X_7bdqjU2e1& zC>h)=B~_WWGpLmMAYl8e53u(`TEP=z0j{z*uO;AOdBwj>5*PvOBUeeO5wFPfJT53* zfEvJQN&Li&?poQ+e}X5|2BSMb7T8;r&Acp|9XX!I8z}#h-G5gjhF^hcCC$eW&Yq8AJQXe7$$qhe z!iIs3tyhk&m~mRjbl4ps+Wtxd{-K1r%t42Z*`E!m9Oz|?qD3F7)Lz)tAZsW=*JrtB zs}8cuAb^4KLBcUfHKfEqW5DN)ON?)v4*Sc=QCbPvVvV`1yRUCEz5A`=hf=>22PH4J z)v#F(guUIq_rAEHs^PF<=T*OMMc0jWvAt7N`y9%h9UB=Hj?2i_SUirO{>2l4{kk=VA~;FnAryppGE!%$*#jDdh}n2;apEARgj6<1_pgkgF`TWFu`3o)~slk4i$v= z3#f{Q+n*HJKG)pn{mEJ)S-tqF2w*W}gRQ}Z$m3zPz5SRb3x%xDMVqEV-FJS_zXhsO zq_`i(0ivWC*G`X&t(l^}@O3G)+5#jIEG-2`$K~8991`I*nT6&2I9}-FbA@Bk-)(D? z_StCUjms2Y8k86|Pn=K(q>Bu)dZm3Un5Q^Vs-Bdd_BruE4ShXCQJv73Hd9CFzP$VS z9Xohnk;tfG_=FSv;j60>x;|EnwzA)RCwIU9?UdrZLi3&tl_-$Gl*sEa((}5r>?sUE6Z@zlv7u0p6W();D`t*qS@+4O_TgJda5#pLxND*kJDV z*M9KNmD!z1&GP?0nyv$!>bC!%XekX!Mj{-U*+ph$M@p+pacq+nkpHN z$o5Wh)v;AAxyu>f`S$I}H?jZRM@71JMxbs|q90vERC9UiUyt*g3yKU2+|0{?-YT}F z5t$uK00+F34*di@fRbI3SK*btbz5A4vEYWbFFUq++$Ki9&Ybo3);ec+KJEQds%dhwtN$}XR(odZauz|3y5 zR2vKG1B!o$osA$xDU@H(`}U#l8BIC)<1560fg?`uY~Fr9%xEz5kMUyd4d^TI%*K(4 zq%NAC*mBB0@C&1uKW;3O?9Tz`K}!RSnLgy3PS91b`m^x)7vBd0JS8=_SH`po_NH1m z(51b9e3YoX<#!QPdSF8!^5};WWMpD|4ac|D|6NUftwN$flgs<4#oEl;>$VNeXmrFe z|Gj1wZ=w?W-CZ#qFjNY&pwZm2v>6?~_j`@BGLsDoPijAuKC+dz`mJPwrN4eij0r!@ zZc_tG;S12;AO&z2&2ua8zO9$GzOm;}1<5IIB>5V3$&!}ZWG|6cz(Hl^k@EiKB(Ve;~u3kDx&yH??mw9OA z8iuAI9vm`tz!^=q8L1GI68tz?h?b*2^%?qScN8WeHO}jl+dY7mAAx4ox3-$8UObw8 zgQ_Rd7xuHjr zrraDk_JOfq2wdPN#Pye!{Dp#<*NU znwg=g+LUQ1Ku~>XGIx0cqkRaZ=UAv4wNo2~3-0odQFgPKd`xVVVC9nO=Vg-RRNZ&S zr*fA!Z1TAXAt$0i4VD>DYaK~RNXcc}c~wkK&;HZ3h)6ya=IyUHaQF?dmePIb zouYM?r8d`GOpz&pQx?UJ9VbnD6HVqDelBfLcKlrO_hpR1akVuTk3M_07#zkNfbm9b zZ)i+J8=P&%6Gzi_oH`gbIKja*_bX@$X{s9t`+t>F@=1C6)KI0Kz9sNb6VU_@L(Lsp z-jGp%w;E4d{On@9ukGAh&hUi9#4uDvm9OT6BnwznLg885nJEupb@OB1qG-}GH2wf5 z`6Wr;E5E#h6+DMGB6>6Z&QX~+gOGz6iEeefH|0k+Gbrb z7^N*Y>RWeiRy{1!4)_nlk~K_p#2swJuiahV((6|uVePAv_dXBg+?~2n93c6t{K?`P ztTT;os>C3R1zhE6_0kJLK13b~hJ`W6>$uk6w^cP4*QqAOJ+}FTGk`^-cwvRw>=M=K zvS<*c<;JFYMg?hAbRZcjXQH0l%wp?{mJAruO$k6JpCST#4$98>Ra&;V0GNGt#HBI> zC}O$y7WreJRf7NBhJzS^_%z<0b=gGME%7vUFS7%n14=K-N#`A}xg9KI(+tH4tFMC)zI(XQUPVPP zka}I_NQTPUgCU1+{~&&_rg3JDZxZt}KckU1^wF!!Sx0aV2Oe{@%5;*Ss}JAj08(@x zx^_$9US?nY>^ft8l@Mb8r38_*3wTBp&U`a?w77gN_q%NUPw3A4tG{8@iY)a!XDgC~ zBD%j)jOe(0#-6jA9{Ks?Zy*sS)MA1lVcR>j;1@|LOM!k9O7RA9Of>gEg-*-4xLF{|M-sP(Rz*fPlXmIXFcxu1zJPok_f ze};6I<5d4+IsG!|{LH51=j}ch1~b?3i%@He0eqvQ3Y#zl6xgHq`5ivLbX}&p4DDVA z_0Rkcd~*1s!69{b*d9dN_Y`JmE6{44FFd>YXGNq2d+nQdR9ZRP0Rmar3P zB@r5Y1^bN00D#nsu{u%{gC>T>Dk$`myrJCRWCrr}aMT9S^8Vd1QHOzc3PZ=8;N)S8&o&;1-@ zDz!)OjW7z~eBi|wz9Fl{A^>Tr_4aqLT2wVhOf zRuLMQm14ya>NY>=*iwb70hZLK@RZ-!b+E^NaRgo$qCQAz1!^pOkXUT_>9=K#blgNxNAFKMa3X6X}X`XPNCtVc;qZqEN>)#{A@!eBRV$?eLA{5#yn?ccwu|B1q#W|`ubS2D_pbOM&`yaG)C#<87Ou5_4eYasw+luR&1dAx z54SUZCu@l3C#=%nrpkcEp8Rh_#663OGLcg4-B6Sa>LaITqxBv-LlD1|AzWcGOD=CkZZ&(6oM^J2&I~CKPS9P$hjU4bp`& z>Er&t{CaoPjU|o>Xzz>_ejOcWax>P4f7e&9M>}-(EbfZeVa_-w`Z~Y+T1v5y{EOu! zs%JD95ZH_aKcXxV)yTOM(21iIKs`A}Po9;iSwSJsjPDcp^{(`U{T4@c?^xe+9hO|7 z9L2q8b{-sxNiZ3Sm%fGIz~*!%b|NnY zvJNir)yp@J?QH_hIAQo9EhL3n}qisHCL&84+Q10&t z4lN<|Hksths~mxck{NF@jmONyN!s=Rok}%;NfyHe3C%?SE39OqJJv1U2S#TICn%`G znim|3+Wf(xQ|)OMej3U9o%x(e&u+-x#(t)t&}RbYYgJ>U_?D z8faS`0^re#mQ_)4sNe;>NrqNdXr>PS{o6l2Apwtu#g!0Xuh~&3G{Pd9&TG$dEmKb> z`Hk(^@%yTxB|a*yPAG6wbOFSKDFJHYbhE2XV}rg(Y{s0wFECIQZE{L^rYM*k7TLBG zHI+d zUtc@XuHV0VchV;o)3MaYGp`TqqAjPJRSIs+Wi|aXq&6|>bKh6` zH-@a5F{FtYJu+n3myq22LReN|T*cIg+eI{ffIocs+~nH0aevk`+%5$J0&^nj^V*iQ zzRO=D53vc-v^MzK*A4g>_zKFJ($BZZqRsp#6abfzj+G4o#L+`LQ*XW&58QGud2%Slg%2Ee5)TY zY)twLKTIQ(xsUzHtY&%T6cEcfOQEa(ECJ`{Z=9D_rB-cA~)o09fQi4+#J8;qZ<>)>}nm zCEf}#D|rHu^fCW9U^(++GpUv0I3bc=UD3GIotD-`aj2(K8XZ3Nk2!2&Fe#1M|G6(C zLj$_jg23E}NX}7n)dYP&R3Y)w#jzSI8@2`N2_977KDdgP^LCy46gA4kEcS74%WC!2 zyDX`%9vl$Op6oU&PCdT&R!>Eg;GsHqb9NdV)BTWP6a;1O|H^niNbCI723rFJu;XZD zZtfp@z-7#Nz5afjKYhxTo8~}&*0*MJxKNZ3lLF0TEX^=hvoB6VfJr)e$}nRc8i;WC zXlos+Qcj#~rg!pE@{;;05(c)9^q;60_)BF;$_+Y)vjdhK)MClsUe8qxKyGXxPQMS? zSco)QLLo_=;6@HEoXJf}0fzvtHyYT==F<=M+%X^#5x}L&-1@azr2Teu;@BpRB20;- zIvDAtHNY0$cvF-2+o0SHg{zk33%TobN1S4}seGGf-NHiK61$%`jWA3i3ZMABk!`U7 zpWLbP9xVSc*Z{Gn0564cZNn)2=wz-XefIb0;VS=K#No5H>3vneqjAyK7dx4l_Nll@ zN;|Y|-JhmV*0gLA84BUh$P6+^BJ!=xXC+48b%-hTxiQEo)n<$Z?lA)7XY2Q=UO)xb zXN=F{e-?ZGZkd~#`y`>BIp;!@(6FK7D$Dj-h~kjm`$_ll+?Q11Tnhx%Cd@dKr<>S^ zapKHRr8CR=uyNK9?QB}%HJms7A1gdY-=w!HPcV}j5387(%bb}Dq+T6BEo0kNr{IY` z!W}{cvC*Y+Y7^x%BkwFF5E=Go{H{nd4x&|QtZJrm9TY*vndFtj@c8%Ud$qU*hrPdX z;8`5|$F*Pwg>V6LXnsiOpX*7HXC)45k5j(Z7UtXVIaUW~UosRCs0@1$)Heq1#CSQ= z2K$a{H`cQ+HCYN!9d7{yj(Lw8Y-KRN>iBNFqSf(-BIg`$d&MN>RZqBeG&OE^Afwmc zU3pS}#L<;Ex^72?m5CcoP3-EvJl2tzZNq-8;%}eJaUy?jj{G{OW>R!Eh6O3XTk_N&4CPNp-r3lb4o~L>+Cbal0arT%X9s$sy z6bAukDjz{zAc3wr)4eHP9xRdx!p#!erJ@D4u{z?S z+4-0Ipo`oW;%J!6xI5OYJ?Tj3Wtw}C{N!Y8&Om4Xn6O~fW0n~o^1s##3;g-?|?~e`xB0_@P3REr!}OP-Bu=VK^P4 zYJke(f_Mbjo_s>J9`H%szio#W_2N4((GuGy1@Vj@Htm9{HrD84wAv5)B>ni-(si64 zgc_((AtpYwU;YiJ4(aPPy3wr*lw19FTvd%1W)FYkHQ1#qqU>Jqu${NJiL2mDaa6qeVvzDzZyTW!}g-CJk&H?+ycxF z8PTI|XYqt>_hYsHXbd9ez?ZjZ_XUkXNTP-V2a8h%M|ot3?8AZkw?qNE8aI;_;&;3ZmaF3+@* z_8}(NLoq!fI6Hz?nDUM{IXSve%03RxOlV5Cu$t3@%-;G}?<4a_I-?j(#rOOg|*+!Uk?a#|&xq@U_^G zwrV7ClF|t%j;)_vVi{ezGV*!*kB0JR!Au)&Az^>=XAds|0>fa5q#dInp^FX6C_(Vi z?^{|g2H;XuQgR<8?q8B1T_B1QX!9=O(}1vss2V)eTEC85Ef_^2$1O-1PTPF~U6nqq zDH@8hL|EYzus94B-+?LOYhOFsrC{~NGbDOfz=Lr-yd6FHKz~sCwv&aR95DNz1JkKQ&=i7UrXjSs%79 z2-bd}`evIgN>QVyVx8i6b`(cPY^Qw#dwfdn&WXR~p;RMto~Itw%T~~+wBnfh9QuXh z$xSg9`hD6qx^%PoF>9r%wIu8tkmr^5OP-4~%3dZp1-XZmQA zQkUkpI-}52;~#8<_moI&UR0=e{?1-&+tk#Qz!mf7IL30sdaXq%gemm^+_YL(xI*C1 zJRP@;h(ho`z|g$W*AqG?T>NYw_=uLu`deEz2b{B*pn&xhXC=?! zc>X6CW*BiTfXx#-my9}I=-|u6!1VS$94TRJyPpIIvOHzNZ*`PD)KmuM=J_%=zSKaq zq*z>p;{o}pSXFn`LCnO2)8?#R&O@QmH|kHeC+PHo4m$bjBg^?6n7kn0|Ofm%>LCjoo`A6!wq+ECPfgAh> z8+Id`Gf!_G&IdD_#2c8ZHfP# zKGd<@M%wlduj$j}wtqcAl`vl(zKV9NK}wy=$JkAC@5MtahPpI1c+Cr=90n=57^B#B zesfiji{POZY8(4}_J6mzGC99l=f>-Z-!_ll>9MX8*DWkuxyW(ruTx}mU|kGzsEvE7 z2~X_hSWoR7?ZOw6jUoZsM`e>lxkYqFV z(@goeEnKQ#dcv<#RKN})*gDi>pFcdqYAv@q4-oSIBz^(6pkB}ErRHH6?2zk$&=_g^W)37>m`0In0ct1o3$UGsf-VfS z-WR89kOsrd*cB_L@)R)Yhk&n`vMwR>MK4+@@b`o3KP<@OLVn9u@>Jl|n$p?+{!qFf zYr(yHY|u=jB)S?mru%*0>YybgooZDaQnH3WeknxzdoQR>_*Xa-T#rT9i~W!V1c6dF zP>~d8J{hQ^q&6N}UZVZI=LzqV+2@kK>eT+Q?Cw&(UB`2Ff2`prO+X;3h(W!EKZ(GL z{~D!`E&ted>06RD)ROiG)jg{)8ZK&<&KPITZzLir3j?heKTv7ckNIbhqoauGRDr(d zgC2+@3N54ItRqvI4bDc1LLNQ?f3Ji7v~{ zxvUY|-5JSa5u7ng?^5tW!o=>>zNbHDYI|KBm|y3yR9F^lD=*uBUstp@x8V`BF6h3d z4y=p-syckzCErke1;cp*rll$r5}e~2Z=%{3Cj(IzfBB}qvLHCdewca9j?@-n4$|Pq z723Gbl77(SB<+HU{>C!ZMcrP)wz z|G9B*iK`rJ<|u?L6#Dk*DdtoIW8;hXgYv3C5OYW!3wp6|9Fg(6*bjlkB04DWHr6ut z1l5xi+;aFIwWceDLEu8*yWv@+PTf6qR>Fpq@TrX7a>UStz+*R@hWDJ2$aqrkCllc3 zNkz+-0$+ibFdN)y^8$rfRkjC@lJkx(b;B8dDf^q|)YoNKb; z2TX@}^U|vMVND0;I?|&zdan~{6lg6E{4%oUM}B>Cl=h=KSfxXjYQNXw{uDe({6y+kj_m^{sMazJ`3oNK%g3(p#2r*X)QbU zXwo`?K7jJiw1B*nW*9h;nc6>g_lP+?sqfTcX5bjLL9HOCJ&X+ouDqym%t@l6?Hmmw zm94qnR|CfcTkm~;Qk4!w5$s%nGK!hNzwi&_vM4dh(_@>BXspJ5Ry2mo=fwAk{-rih z*&ILW*=13gfn1EQh&y-tFTJhftR0QsJTfKP7p+muve#iZFCC5RqAQsyCC3K~fTJ3OGIlX_9o*2c!49aOU85=3A!3q{(+KLU zxcQaj&SWg%rVbyGzu`|)XTO1JKtLFkLR6B0Rui(iqcRi7mIU*^=RyO~yL@M{_^Pww zV1PJ_|6gnn?gYn;$}+*xt3B{x9JY^~6Te4I#eI-p9jUl05x{fNVFL|X0@sRd%GCj=)6KA;dnEuQNuR31=;i-U_LO{+_S#-#?z zg1bhwWRguLs(6^qR)^K5c>7C|xL$+_Vcu{5r(VT>va*F8)?xD75=* zL_a_LYH|%~isK#7SrZ>99$JhrD>GYfeDTHgtvolII)uU&=quS6)>4r50UYS+svEds zmqWsQJ$=iSD^7p$y5!z(Taw>{Y~wxFcM%<6+(f~H&^rPYSSC&pl@(#L z9=*tRF6p}KxB+!{k(jWK!)!jfHx&)d51GAxNcyXigT|`($Msk3nSV;Ib zMS4Cc#T5?D+CA`XM;YtBXdZGLN^WkI#*AgL{oz%B7InyEoS4i zb7tb2b64zE=dUmJ^}p?M?{G)iM>VtjH0H!>A9T6g;&S=U@9DV);~MT6s5T6Lw4Doo zKcJnDT-Us{z`R%P+T_=NhN}noa8`EqlJ`!jERwaH6`7W!xn}oi;~K0&eytLV7ee~^ zI&>-VPkms?QRack#fZn)q}(lA+x?OTU+J284NZO)%{I(oNIiV%i0A}Q&wKp&&}SXK zOlPK^x5Ml5eBr7Zb%&d`po;NB>YY2>r%%k@P*$@@d*1KXaZa=-N!m!%&Swj4D#0lZ z%QNUk#CyYo8ebS$s0ol`H^h?YNurP#WDpfNcSs!|q2W&k4l$$oCJ33_zyP}f?02UA zCy^32jh=UvRe{QNel1FeEs5EI1Bn_4-pilwoAPtRsZuU>91%O_m3})wh-G;2aiQ%M zMFPN~R&9$DIq_)d$O;M(sbgv*Hz+_s?|0Lyp8{xvHW!H#1WO=ey)oxR`AeI!0jG(S z9j9Og`(Wocs%?D_zZFgiW!O|ii~Znrz?Y0DBbKk>3dV(7v{=AASVoaL@shj6ykP}z zMZJ0-`VLQ*OAWaE#z1!qCgcN0P(@!zWW)rWKm#6`n~o#F2Ur*z{%eNcut?tI<22V_ zpZ6fj54uI&JD*0q`kSo&+?I)WVnBGs;Wq`KF-0#g7?H=45=1aX+Al9Z<(yj`+?+coVQ_~w`F z`EjlFWBp%vTkW1h6^=%ugTr$4+|U(Q&s!+KB!J{XR0M7!4+~Bsm-6Utvvm%S3Vw#W zY}#W(WuFry+V1`iGb`uv>b5Xl)R}>Ol|R8LW>#WyNXui7sMeI$MB2pZ%Bi!gSCBDa zB_X+v##3*gwqD0KKk?AJ?&HjE4pzu~yGo!az(S9Xm%pJ0Q$rMzEFM1*uf&NZ8u&TZ;ELmtmv z_ar;glleKfrRv@2u%T<*n0#wce<7akiqw|B_5x}ne&jwg zFm}i&4IUkr9L(_~EDE|Taio=uZHg=0&)>;`PgbCqKt_wVRFY-?7 zD8ajxb?)zFJ7257S z<<9W43vVe*Vr~Vg$E$aT{f7sj%Xs_|HXs~ap#4QJa+^}2se!mJ)&w$I!u*}l-d69b zMi(p&I|p%5|n*23T)Sx2=bvAE$+g~?8 zN{+{)?-E};W#gOx`%b?&Z@P+%MbzO*+cnH;~pl-d^X#O{mq^m!^>PB-zzpT~N(nS;Bm zm)GNoL)6C9-RQ68bh9#ZVrmYtKywjWpm61_cdGOUkd}(vf*2jq4nVH4*&{j5Hh4Xk z!wSnHjJ71?SMjl`W#F70Tj+hisgpS2M=rR~OCSAE#9)a!HQm=&El5=3!D4er3w`!@ zdM$nL66nG%Vc~NqI6~^c0z_=?_SW%jE{W^b!PK+{LTHG6?yeq-Tc|=02>}JmnXq;R zqc`)x7Pq&l%en#1WRK;(f8_0wD5`?lcUy)}ACv!ArJjm6E#EepnwnBRm?R>}W;)Ng znJt2ZM-zdR+Mj+kuZLDx%}AEMOrE6#D1JuLqN@9enQ{5U|Fo2QJPjej#UO!y4_Xbj z^UHSkZx%dI;j3)AgDOl7-`jUSViTotGh!)36F_EF9#T?YH@HU8R9(h6%j89jk4=xZ zUW}8q!cnC7XdR*k&>eEb*mg7b#!Zz4UR9rBYujWmz$9+p5~nIC!)@^Qu3F;w{?g%C zY6dlFHuI}SN}2KKw#rNeEvh$lmym30j1;{}jQL(KoiJ@(%8>2VP3~3`2HX@UtP>a0v;iNZNm$r{L72RPu*rPei+-fA5XsBJgG`+|NnL z!2JBYWk=#_C~n9dkM!psl{1#6ov@$#DQ{z6EfenoL=YbUJE93j4Hw);yIzfv!0xd( z#`+=&sXRceW_r%4q2%CR+TgE6a2V1sL!G|&6S3j1nnz(Nc#2BIj)f+}sbimqYa#aC z@zcZ3yXs^0^iA+@pM*HSaY`i4RSEg@g$w-x`^3BZhtpkr@1y>GHMgU~YJ6qRd`Pc{ z+`g}0$yd^}T{yjwgLV*80^4crdS1WOmQY-vdmm}vk9lVEiEgl!Wsf`X5n+Da(2Ur& z-am9B!L=fN9iy3$qV7)D3iY48o$N_c)-{^ORhFlH24eSNekl6M87_XITCSREwlFd8P*|!q*xqptea$>1uxHTgk?9v@isgp~wO$nP48!|jcYsR5!M4qh+am*h)RvN(^Z7+znuA-6_5 zbaH6nxf)&EzeT!twy}RU^EiHf)19iEH4SC-zZLn{%QJ zFq6xfIf6ji*g#nP>GY%LHc#=bdvr6x2Orc9`B{J^#@W$EpF|d#e|{Kb{&N-SM$M`6 zk|(sPEc)Xhw;+HA0>enEgW}EO(A(GB$~*usC~aFGlQ!7pv=fY7Roe-*TZk)7TC&fM+hY9DF1lwr`ZKu_N7+T5*x zVW){oOY+>@YCMWFgd!rUEdPbBp5<+u{1(w+e3b6R0lCJ%#d8xbSKPxoD$rwMGNF`q zMncPa?^ZO>$s4al<0A`2IQc>6795Oi+`>wsa~!iL{s5UbuU3THkG1blJts#wp)|WI ztEIb6Ga*AeE<3>gfGK;2e603TsMHr@f8l-y*hK=QWO%-eO}6n%Z(}c;m)gTBLr-cL zyds!z+`?eobKmgxsEhkYBoZwArdYy-;2zs(;I4cqYBE&jU%WrQwZKeuUfmFSNMwO2 zDM-F1fYIY;wpKvo9$S`fW25&^8_qYgE|@MqRx;OlIDuQvZGT2b(H$uf)#&1t*t=&}}N zXYZLfGHa=Rm_pW5B;ycOj(fugj9}i@OBJj%$;0Rhm!L?+B5;uH1W$m971I`t?uLr@7YhT>^Jr8ZO(a&c^xng@Ja~ zXn`l_4v0z(A)mmZP6kc58?fvFFVrBl$|EDMaABj7(EqA!l7MS>=Xp=v3(=#;ta2~x zp$E?2+HpT2+tWmZ_S%P%vR=VA%AHe0w}Ul7*J<z>M&KbpY z9p}1Jc_k%!>1TKSFyp$s>$VH}YUD(<063XkItprluw97THSB6^Y9eT>M0A369SM8g zI2Xt#43h(NR!i=xoFPLyTnLe{8>}H)+WJMH^JoC6fj*2tX55I7`8w0<{_<|ZY77hz zf)fV-*&k2O^~5|&foS37ICWO3>(C>x0mHIg5r*AAVr0X#x*SV>Rghs)69fP0Jb zuhiVr7@|SeP=*oFy;N561B{hL2QZ^3skx#R?IOR_{!XY3SE}Bd!IKh!kB&U}IB0nn zzwH}q&<|uq2uO{l^TKnAsUAeKnC&63!P1AXG5(5etFd2XQzR@@4*s_u)PJo>?{zS- zl=hF*VRyW%cLBGJgNck&qRF!ByyIpWee)OkK zUddWj8vo&&2d~UkaJvjW(lojQQWk4e$PxJ4u7t74>fPR-yv3+gCr(tt@pg$&H&vSU zSEj)Kb(qcVz^EN{N1~8Rd(bu|usDBfu2C7XLlOOVqBTR)*f@@>NG!Qp=1YCmQ=A)8 zQ10P-NvVdTx9#1#l@y4C>!1WwQmK0IfP;i>U@yc<)!|i;QD!cV`dpnbJ8s1@+P;Nn z>grAc-8sp#3)4vBo5K(=VSmrT3&nei>Pu6;%Sh7L)wF6U!@Jvdx=PpVF`41F^8OIj z#EB;e@Hi!is0ssG2YrT+iDro3f&BNm2pVC;!9la%Y{6R9e?se9X_(Xf?M>f-zF|zh zg$)vnAEXeYIrm0&E=sFSuTh;yZv9L;SMiwRd70KTMHhRB-}A9CVA zW4c)VFydbUFq&+J&hS3^)ZH6Bj2RYUWEnDS9mrQhx3C*JX#2v{ep~Bpc-zE@jS(~* zo-tyJl7wcvz)@QP13c02t*^j$e(zJ;ZF^D@J zuOg6cY{|8dYJc;HILG5Q}_8Gj>Ix%Q-te)ZdiqD{GK2~=j(cwx@R$VkRj zX^M$3Z=F?!Rb@{i^~a=+^r1|XZraqAQhC-4s`1bYEgQ*ny;CbCe4`#nmN%Tb%6FG~ z>%W3+0+%6{sJ=*y^9A>NdB8@`;4QuJB?wr9oV+}vgRzg7=CLIPJVp@9R$fJnC5N() zYgnDEl06=iM9yVG`;&r@x8Xonc9js=g$w621P=sWz-cseOZ=r8K2hL8MuSTX3Omun zT=II_f+?mq7LO9te@2BeD%MH=`3H-TzOV}p&*|m3=Rq(UI}d&LXK^ZpCi2de0M0%3@|!{nS1I6oBG@vMpU zU=bVdd|Q~i>UvV4RGR!V1kpm|$#_B9RzWUq#Dn_))7e=1PyZE~nwpd#X!FQHI3Y*E zcI%s(YBBqeGJ`?!xYf>m?hSG^zjm{lV>{p8j6V#e;`}RWdZjQ);B$cs3V#pOkbiUj z`kdRLg`yJQ>=aVuHVfGbr<&Boe540QTQHZcop+C|r+nDtBg3u7b=AYlUW^&pdMGJH zMx+!6RFto6Z^ezq2kI0juDT8@GT8D#p**4NpowSPO>JT?%_SF;Y_;>a8Q*WB>pDsP zRZtzj$L$T?WurRvH}$<>%iEzff(Uxko}U}eF(eHBOTcfAqI=SZo)rSYU^9dKI%;oK6oP)@JT*?ApJ ztJc`Wk>5Uim}TMTj5o4ED#6Ly3=GcKN8lZWx}b6BtOl~_W=>|yBj14H9LfK7OXPFd zvhqGC*gRWFsm5uwqf@+rGn8g_@L=C3?;i9y)xo-^bki*G##{zYVzN=edwe6HDh-h- zi3 zaHHqysmwEqHyfqe0yrl6?}Y)nv_@<;0u)}922K@OCT@Ti8OD_LNYkJF{Z*|eZ2RNi zv3M>CQ1R~=vDhKCviQ_W;)?^phxOQisAxz83qUF!C!`EQgoOnhQtJ-x<7MU$=Ul=_ zxwdIB`tR&I<+*`4_D6Fn%U!Y%r-TMN{K6M7fuU*CO8|7>zX0N_vNA&vLs$xAj^0qz zvggljP;A(6PGGRpQ zp56ZK>PtL)OBzOw{(SV@qvcfa`<{2p-+K+c|1z@x?semsSis{FdyC7v#@*9-&qhMP z!ptE>A>aBgbOse`=fbjsh$dLKzIRt{-e!En>n&JQi};ZnL`1-J-{SWd7%`z2*cFXz zJ>yX&=#voS8J}}Qsb14^EC5_9##TushRA^Fg+)Ay5tk#L+mK}5N5$cg;&m#2jNx25 zGBVQf2L_2x3bJm&&p;hYn#Z!P4Rh;z#BIX1r+B*qp2Q0>1%RzU|BmBV09z+fkkJ1IR*ZdZqnm zT^}z_cO|Ku^(t*zd?8+&61Hdil*GaDUPYq7mz;Rha@SW@~FE3x@dK17O5h-a2 z-dWlxrO3)*vMkn?zd(bo>8CvC$6su=1v0mt6uH5eyQpGa8kc<*;2@kYB8@m|ARj<( zHNC+$tT&+jq7EyKBDZ*BsGOSTbD3M9K(BA?d#2pEtJFjj3&@#lqv3uVJF&}XG>=!; z_hr85HQuYuQXtBGUa$;LXxgwpM)84KxjJ+UYE$(6@OlcL?@YRY2W zKkq^t*C~8!9v1k~(Ihi7a~HrcLtV!owugOXbdaA3-ODGi!CKO~Ir>u_`Gk){Kx@W*{+@H!PF&QK zYRSN{)xSyR*R$<1zbxUfDwKbaUNykBP3!NEYTQ*x+Sz8L7)U}UApQn zJNxn`7R+-j=15;8wbMW^VWoA23WgZZZU+Si!>W(Y?qm;+Ld|8Y2{Mz*Y~Ce(I^8+D z9g>49!#eigZWZGQfrMH7O!p4MX>UY`P#Z=3Yp6c=sFfF z>x)C>iW9ru@p4`l>NdLxR()Y6}7aQxB2(mIA zc$X!vPLHPhGqy#o&snvHZaIHz&*I#hqV8E=$PF|E*p8d*m$r>lJz`X*=^jct8`=|ga*tfs|T{@@y zpMiV^HkN;Z<_N1tY6_B~)1GNtoo5oZJ!=MA2{M$B)9Ikvl-E9VIk++JVdGTy$dskI zklzwkIr3(Wx>XPv8f-9T4Lr78Q^Bq9pSY6e=+-R**%g+eq>g-F6!#L>?%MAN`O|{3 z6v41XLq)+KwXF6r1~48E{H_9a9ZJVn+n-d=Fodn+)xuFiJk2}>hHEU2zI)^?sXCdx z?&z>RFbzTS1=lh)WrM9R;rx#S@}Gi9Y++B;79{p8qk#EePK4FUhL!KKE=2H{kq;Xi z1k`4*h#Fd0T*fs8#>H-6OSne--pEz#et)&wgSrm`BpLpq%jG1ieBku!4a(GT+xPVP z_6iJm>amQfbNPz5SquYu!vwaPJ%EURR zg`0%tG~Gjv3)94X)0)53FVeO)NbQPZ>)LC_U3Y=UsJ$sd)wq4%e%|i-zcP~&W=T2{ zA)$e(f!TRN8M(LjhZaIXbfAKJouh{SPjSxiy7eY0r{gZ)d+$WNhe&AkSG7{=lOVDa z6VcWZHj7aYTbD6>)2w02!e=p@5{H=u)gD`d?w<-k<_mfqKh-EF@Vd%WDOoD^ovrnm*?a|*=42@?z&I5Bb5lZ>&WXs&lQ-y!C^AC*&htVR4(c{ z3S&gpG|qo*B{uq>Y^Js^-e<^1o}d3Mhc)Wx`6sm%Jm&Z#z(jMyBiz;;9W?zI0v4i; z#zA7dj+xnlLrfl{)2h)l8M_E0%cJ{~ z_J5U4=X&q}$Xa93t)dYzD3&;wMNNwkbfSc(LX@H9KsbT$VE7gm7bhjU8UEumv|6nM zGpm5prfR;U)CTHt0?hrFSV#6;Qm9CLLRWxj5`73!la;&^=QMJwW%dVwLzIfxhseZ( zXD9Dltk#do`kaS?Jkg9nUsOyDiX%^M|FQ2vC_=XGYRkHdo}X+KDA>>6KwJO-eLxgq zR;yV$q?BVOSLXb2?e00Ru@^d`tU(insL(6CB+3;*Kr3aQJSoJWMBHsZaq_$H(tQ$F z-C0hL2S}K1qKP=xNQCbRI5!o^^P@;;_+8-8d%=YLw^hb}$M_HUCcYQ3OQ%13eIjX~ zBB66-hckJUwUQdy3u^kOwADWn)ksrpE;U)_LX-U+azY}{k7yBaL*W1f(!&z@oRB8? z9(n#KJ;N)0JnH+|Gi;}0TI>llsf>cKVWryunkmk!yI;PkZ12CR1Zt5yWU%w_pF16d+BZ8ut{W(IN$$)Sad3K9_g zoGxEbSqOm99|E_ZbG~CZfr^X$^+z5bBw!MvBfuk|>D9|GU=ikJDSuD^h8P%&R^sui z1?HFC{o3p^aXw?(v?5^={|xSU1Ax-6gAIipn~LKV{{^ftbwn!!xugKT5O^uWvJ)?6 zxTu@+XR{BT1qX)jBMc~ExZa>55n~PFF#>P{9RydOXlje-@iR0Bf? z_zRY#>EF{EQf6YJG{$NBvAI1mku-D`2#9`=>2Gw?s#+?z8I4%?fpQ=4p=Jr*(yo^l zr*E5eDp$RGW%TMmwB^&>85eryP{(>deUWM7(pmcQuTGLP32mEO@2ry>N(|JOiOZ3T zhQ>F7gMM7Bc6r|L_C)!saz{>Z6v;)Qs8*CYuJbxFX|iRQ*VwAr-QPP@27OP$ZQX54 zj|rRMS|m-wfB>ibh%XQ?8s{ZcD5UO*#fE!EEa4deJ~U6*Mh9l1-I^1Skx7q0TtVee zIznG+(M;2G?bJ;)o}YSKY&bCh?6H0HxW~PUBIgQ{w+Y47bYb`EkoQh+#iNvnXbSxo zW01`-)H?_35hx48$LsNjMs}9<{;y((Un4merx=liei-fIT=E`naq#DlI!7x~Fee0r zL1@E3>Hhm?rk_9;km-)ybO|V`UBnuQ^)F5D>)G*z#)XeFT!}^vzBfs#I~0kHn?QUN ztY`%*HuUewAe8(Kd3sZ#oeA+9HB2m$YlbysmtvtQ97kJZD6irArQf6g2Sxj+m&iu;}sy~`d((YdSncB4V#wH z9?c!=8YJJV(tZ!}mkrF0pb%Wi^pugv^MH3|0hv?O4V1k5{r8@^CGuS}3VA;NUb5gD zz4N;A3Ylv*`+E1IpfR~b)|fwB1V_$`(3tG>|I!hVEo<882&EQTe^xoc5&<-Gk7BwO zpjn`{rkA!ei3g~aP&qtod&r7Lc5+g*@I%&jOViJ3M29V*5ZFhVNB_p4P#ldYGvQh{ zjQ${4YmZWP><wk)x_3YaV(O18)C4H*xl8-PtQqdxe(>KezCn|Ad-6zC-U`?Pxy= zg;!PAAx0|@mPk8X$Y({kgQ}4UB%%ztY=E;LK2YqrrHnM%G!MhE-U)AvoHhU8K|}~ z`X==;lJnbS1W!R$YG8rtxGv3ksOO0q>Yfl$Xbr08@ZrKY2Y09L ztAWxV*%$^WLV!mg8-21OYkdPb3nAWt)Qu>V%4OYz6jupaK0G5rLj0i#Q+3vd;+c5Fh^;ImXaA zebaP_Gf87~UTW;!(3fEY2QzW%W&Z)}zB}_@DCWI3F%Q_Ipsa;_4zABOT(mHS5|a$R z*xIPHU&;Vx3mPQ+6n`wX9r5 zn$O+Iys_q5T_TznaIWL)O*Z&s`5EivYTulQ-1O#mH{^FCFHz?L_zzNPe@3yZz%5r% zhrWmY5d;p@f%xN7T=y2p#SNHBjE7mre6(V<44w?kF_f$2vrDG7*eXqlN++|$9B=#{ z2h|()&7-SNmmlfRUgof7(Bn!Obx(y_sQ}&XyR5njwBM_I2Yjh4A}V*2f(SEh_ZE_L zJgLuMGJ@F^5p$ui=De(%mRQD5!Ikneyxi43E;ji8qu;5wGoh^pWI&kRf37 zzIVqoyadO3ssbqPVc)k~J~nUpcU$72Bl(8pb%6CAspY{JZ}2lgZ*TP6#Pp-u8CS}_ zdYn&yLQoovoH#O~b!uL*V<+Ef34>e{f9g;k;s8Qm!<^|N4a$&!OCAou=gA@G(55NY z6Lek|_@Iny$KIby1Y25Z;|3u+j#X2zn-;CFLChhr+nVRvTVsl0AOeE+Ut_pVfI#gV zO1|r!z!z#<`Ixc>Y4Q8Fb=d3{japeHG*%&vY^K`k3Zu5Kl^e;wJqlChmd z?b_|wj(#Kf`iRav7G3~aruwCKF)W&=BM-IR!3YKJt?e?(w==81w7*k$x(~hL&tc{OPjLyLOh0&^ z(Wub_0a#`5L_onZ>i+lBBkz959a5Zejv;h#$n8_*vU8CSBLU_1LO7eUVq=;*x?_#h z8+^}A4R_$ZCgJ!0OC112FzsvQz9*v&K19*>7JP6^{7i>9rlCa1p5i`)ZmzpVTIf0cByL( zUXaF;w`{Y^CEE2yrx=ryXx=1{9q@Q;wK!hRy%n3*fi#3>{_9nBP7Y{VH!CFF$PKH1~i@%Uul%497fTZ4W z*t5cd%o?Wu$JBd(W8J@D<60_di9$uVNl1khLXmOPK!gg}l4KOwN(foE6`7&X5Q=1` zY#}2nBuQjMMp?b*r|0+n|L<`;$8$VA)s64CKG$_#=TKDjdwIFdawg(eD(1X(;MwI` zbu?Y#`-rE?MjANo@3L*hbaW&XN(MXfnO9E;F(*cBVmFRKTZD@}fIDC}(V);JGAR^o z15(lUDVaQTl_cjwSgRTxpfza{+8C7|Hr5qAd`OS?!WXX`x+1jpk0uV&IF3^iK-6HF z_yU0q`<>g&@-6?lFZ0QBRtrSFU8IhMh=uB_mHv6+L~~7gebfv_Clo%AT{L__YK=Gs z-s_w}wUD1sFE~_8(D0N&#`ECRc*n}4>9=(p;B=Dl61zDU9u}*SL!w+Yi~&y!dO6}{ zrPBfdhQ(P&%xM_fc_7HmOWl@*}z zglMvrRZjj%XiKLY<4xBE=L3vE%&vfTQHr2sCNBo~rg#Jh6+*)pe84_ncrYG&QBl~v zW~W#q8%e5$X5E3y2&*9oPky<@N!UN+eg@dkC&WDyYc8!tSi^%_Pr`jV<4-**U`%2= zV6>7DX|RF%46hS4-6K+O;dY17Ikk$Jnhh-R<((V2CvxZh zWJu#KZXjDB@cf0Zi%K4c^cB^Qj*fUTxCbjH>k0VCV6A8jZzNdo7Ce00PKy=H8W!r;RtCR3_Y{+2jLqRru*r{aK@3%hGxEVM%3i2)NhRG%<vZi_#9I=jsm!Wau05Cn#l(% z`RM)On_us}gXqy_W<>YBIO-alWv}bZf>{TXNV*qsnfOb9U8kpDW1iuxn+NL$p{=#L z`p__A2Z1eWOJKZXAigs=ac{#>VxiQD;`!>rGl%05_@3a2mDb@1XNj0iN{Lqr;d9x# zdlVS~=Z-_y3O2@Bx+@z;md5`sWi~Iu2IWE7H)sD|xFG@W&?*?k=pCnC$qN!Z<&L70n2zY7 zRfYu~jM$P9EJ-Q^uYoECUzSy{<5QwDqcX9>IK|@j45{cI7HZXz;Xr! zTSERa{4mmTM>}$qL^(G?dfK2-|4VAwi}xo9v}DtZGg!Fw>`s!%gSmngqX1oEvkbB; z(kaaF=FsTB{gI0yvu|u17P2|iNMT3cd=+4y(52XWwcBzlmQPwNWvPdhFV6o zv1W$>2{>E!V_~pW2SuXQ0D)VgnxbvDkW&BHUXiTFy7Ep-^M9ExpAf%TTIvl_`j=28 zj(mR8zYr+?i(EgrTNz>w1oRLFL!Ux=!9G-)%}1tN&IoL`Rw5^sCo$?OV#pj@4|Q8w znH4EV5+djO_ zRbgTO5ml@s6qXdB5m;e!lDc71ly5!etC-_-nvGe#&i$^Dd*oM3R7@TYT08&lCpA73 zOe|zbBDD|CKr;4+&pWI@5iA4s1a_bp!fz9a9khnTewZu~=Ts8Zn>=sUV{1xMYM{Ad zWD{8l`xmSOD#&trK2GvFF@nN$jnfKLPwPV^fS9pWJ|SO)sp7(x*V_Zi_gl8`GqbQ< z@5sfRvJ0lP05tS`_L9YAOPYH3kX_!fJvYzUuP1IBgzB6p4Oa)! zHo>mFQ;{jW@$c5_-T)#=D>j@Y53_2i>;})9wafgDFUK>nabn-!$$e3;_e8D#{qxW^ zXpP|Ry~DmWK~0mih~Ir#odE*4jv@a z1}C>mw;6dO;%+P)RJM-^sf*y9~OWl0+rbiPOp<`W))rLnW+zO~!g_^SF-8=@%b zUpETnslJR7I%B8o^qUZN3Qv7L>kMr+CH8dVvfP>(Tr%{8j# z-mjROGU>ag#-+%8*MxN*`>=5HpsA`a=9qxJm9zJP?gT4l?5IL-YdBRbiBLl3;nub( z%&dd<+~hY`>t)Sxs>ov`2VlVT!lLd!ul)sgS*-4fO9q)`P(cWum6T%@wOP_4aW~vI z+DklSK^`ThzaYa{maSUN$V!JX{|z$X6W@t@jnA&&Z(^E5%dXvpyA4HlAdL1e)r7g3$riW-VqoSa zuKPa>{=OEmCEik*6ZM5#Cqjc=R}%gpPBnXXG+7fbGu_ssr}?)MZ{hj*7pD|}%6*@K zpDKa^RM2peZwt&^KWqr@&AqanSfhPLrsZYdN}2hQ9BFHNtk%};EA)heTFbrF>sf#Q z{a1C)eRm6-`t}Kv1#SW;i}2AW%?%zJvMemCROSZ;{H}k(LGer7u+sE;k9!CztdLg_ za7)=ERlS)eJ=I4`ve38`CRlgUSuCqTlRk7LNko|@M=4LK3>6D++u})k^2L^p`BM4M zqwGI4mQke7Qf?xYR8vZ)_=u8_*LZpvSim^y*i*M_sp37yUQOC9Dq|lTJ$0i%ew@H7 z3|19krYH>PkW9^xzsbC;LhUq7eh1Gb3r;wwS?sBdSu!|cFtuQmV7gTmwrIDL8Taz$ zmtV0e!IXm65R8jkn9u;2kQNxPD<+r2H-7HI3-z#t4Z1PX_-@B4muwTkP=b;GoV$Rz zI-@MIGT+i?lW`(^W)@a~05>g7k@-*-o)G=&C<7>Y22S@xzoJ623=th=@#E*9A z5Ejojk0IWOfI@sMaSg=s+-}C(@HXQtBI?sJGRpA1L)Myn$@jgPysmDvS!i3B!g+iz zF>i4iN>2S0L9EqL$+!w%nJF&1qqv`#(UR30XPJ?oS&4JgW#<=HiHqPw6C?%=i7(38 zw@-s4UxHjN%!`ha`XKnU<6*KAKQATAFAamOV31IW?+^&=P6Z8MwWysv>w`Z#7#l`r z_1Lcw9aa@+8z-Vl7E+t%>~XOT0Tldh^p#1uQx6}A(Ob_pqhQfbxjAo#I!XR}wa}af zR_Rb$K?jh89&qBu4qzcfxr^`e06+l+E2kqIyjLTAzEEf>$0UDT{C!@Su zFo1vXAO0tJ(87y+cyy^)jKA%EglI}|e{}8FZivhvL+qbO<8*ZPm~gE1N@Ua~RUPabqJn6OxE+ls7X|LnQUEpKwufO9S>cc( z_e|oUD7LmIjn)*!2!vG=ciS+ne~JanEPHzpEJO4R?a)5C(DLhHPhpgGk@&1hJHLqG zlq$nwp3vdf@;{Wp0pW)CG5L_lIpD7_u1(xy4^!EUhPl^=+dg>e8*tKDwS%<4M{)~L zk9G#Z8a8SR5kTSm%5P(nTJ|~pQT*`!!daC!#GaIBZ+rjLJ4$NZ?y+x>CM4HK{ntO2 zE+an2WZ#zEL)57TXquofT$XsHI5O!gnofdLg$l&^N!V>R(&K_t1zs(Ieqta=q!K63 zw#OTxy@=!EKXCE0%1xqC9ZuSvN!hank+}buS?~nTwEn$r-8zz`cmj!a=tz|QQ?y0Y zD4Kaccyt!NA-7lNEQGppr<_yF$e@WkE9HiAJ7}mVjx6ka zIYS?g>Y2%{tly%`L>WtwQ)N0j zV11wn4NtG^;lvP}GiK#%;cG~q9KheKAh;vDSs3X{PeEz{yIs}$g}wgQLJb_W zh@#0@z31`Sry44TbTD@a)R_7vr?lh)IrZ_wJ3jJ9&5m>=mmMJSJxD>gykJCFoGgEw zL6BB)EAQPMKX~Da3!njbgW2c4EH382UwnthTC7@*j^9WOw%V{OQGB>}h4v1jS=_Ki z@Y-rfHA;aAIA5znecGq`*ptLh!h$bOBl24r*dovE2T$Qzhz}ZIy#>pix~#bB-} z>L;wvS?Fxw6V``JuImMEc7fVw&YY1_c#8QEB`FINsql~YMAHDATySuv=g7q)*a?zQ zdf~9E?&DS>Nglm|58=>*R27PCq<=}SiSlBsfj+brT6pbHu4fEcq4URnOmO3Z!n8be#mtqJK|Aju_{m`|nk< z-p$}ErrIq}6k(?67{Rm{<~-V=XDHvGV#RueT>H^>Yr0Vp)|$psPK*1e!u#J|KHGCo zZM|7u7s!}x!Ua4<#mXB*x{?r^ihYUCM$RCtElB}~`#N4HUtkLI@+-jVAOQdXpcFjq zKHY6Rw!+O1-_adix|oq@*M?Qc?CnKiqUS?0J8JFh_sGM(mv5C+&QWQybO=u*Tb&!= zmk_1H`xXAh6@V1z0A>Q{M2nw@o;mN6-8v*gJl#;@h@JC?!UmR8%3qwTX}rWB=wSce z))?1J-{L~k+Q>efPwHP|mS)3i1gZMixBb&#hm@f7f_u(#^Jt=8$?IEF3t-M6RB0{X zHXCT|R?v|EVcZ>5s~U6(HsvIdXMUUX?@d8x*KZ>b2<$n~1tz0sI9)SxnQXCDqlC+^ zl4(RCJbt~V|Ezm`YdOMG!E{6j;>d-t$k zIrN{>2Ha^uxmt z5DZm@dlv6a-Uf3RjQj_3ApeBe2y!aUL?7Z7$>F@ZhC0<~m7ubpNvH0x@^u!LRXYw{ zYHxV15%W;=$3>Le>(3XPN=~r1*)ODhh5;i680>P`wKytov+h)6xfz|3`;c#T(=i6b)^I1l# z#tMI(f^>k64wzQjgrsdj_s+;i9=o{YKP$^+>AO8(tiL>GbEN(a>K(a@2!Uuj6gN&s zz6gADF_qB~b3Z~OA}$Rlm2H*4fTcoo!-^BDX=L|owU&dhcPF-=QcvLm?6G)`USa$%7=Vre5v5zaHURg7bSvWk< z$2DXU8IxONmnMP>gbMIdLL~|G^DQcSAe^}_%Rm6$b#SAGvp;lhhMg}i6-hb(6?--G z@V>KN9z5Nb|BGr0xRA8@lW@XuQ657Gzwx$`HyYu8@R%mc1~htrG2z^Lhd}|#e2ieN zArf^Ol_7^dyUrY;ZPjGN`PD%Y-9n?#qQ9H8@6tL<`Ov<*=S7aYPvQZ=B#PS9uyA?` zjYE|Z*RHtqS@nVc*YLXEyIaqRdEy&EhlWiOx>0Cxao;iWA@7CzJjPNT+wPvL>mxQS{ed+@S&Mb;OW1~J8n0Nrf!M3II=u#Un22fS=A4P=2BL4@0_+11 z&*{-jYc<$TqFrk7a4>w}qV%4Kmx28ksDr^#Q9>De1`GoAt%> zSvpUeSFgh8Nl*o{pyOQn>8tl*=8G|a5m0uC?QCAK6I@GvA{C_{Knv*>zllC-UYmGw zb0-$RbXO{VlDOx*T63Li2FV5XI!Y=R(7Lbs4{OjA8sN^JqMXH>2{IHYd_kPD8z3tr z#?dmaB#-SM1smz^IMI>+`T)W$HbaDV-8*qbcPOnB9FsF#UKCelj_Un;Yu=<6LLcSt zX@{n~<>H+{N~Us3h~@*D?{rf?)$DsthgD3SBcO)Sk zg=T4`VU|Kcx~M%5M=9*o3)Oc+D1sfb(SEeScy~+Ml;xExT8h(CH4mHv2URmNVMm4f z40jjF|83&Pu9_q#BiNMeqL-AH1LX<0xy`_JGk8%WADS0{GLc_xlwH{GnLGX&H~)k1 zkuPYe*cA{Q_D_p!m=7latseeKpWeY=efad@Y(2dC)~6EKVFC!TucK4pag+*Dw+O=( z2=nxG`8I>Pd=Ft>t!KS?7rLAZKaKt8hy+hYtv%7g^#4ngL3|u?G9ShnB^5wlVQsz; z|K3b$$3EP`gC}5<+aNP<^~gRN)M2RhQCXp4k7^zB;#}CJf1_`eD;)ZY+ux6hgA&%V zc+Rn`5S!bGQyy0_U6S5t&($XvzBZu0dhYSpolb3|*FJIV{yq+jS7D>~9Otcrz*7)u z+3%eCI%sgf*yam6hS64IeQ09H@hxsy-?bFDy(&J5jBGf3x-2v{)X;`9+BzEP8-He!=6&|xJGdJ8(_RAC-n#U{VT z$8VI8LZ567)qazSd$`XZy6_Ik`4PK(B1JyI2R4Y-{preOgX^1l`;=1I@+OXm)b3)@ zMnH&s$PiVtri1$1R_OcN^2^74SX536XH-zsFJbSEQVAH82O-q=bBMlpYk(oD0etm% z@U}c_vD#tq_Cgzc+A@U~?dy3KJvTCDT>apf!?nK^@{vn+P^$jzYYgbT=j zSS6RF=Ic`l&CSAy(q0#{>8d3@v+~8ND@<8ocMx?Ob@Z z>1fxDSzbcV-|7drssj7Dg6p41W*YV_4{$~hgD$i(U4crHam8ux?&BC>pPD_BzpLo$ z4bHVMLJjZ-UL~Hmvu#~rFwSTI7AkSQY?9kor&~9W&oDv?&hQcveQ`9y$LGSe=J{v! z1~7<3Q#3LBIMWC;<$uY@b)pRx996KdJ@}Sn-L^KmcvgjoTl3sh*e8TC2&fW7u8SzX z7@cml{b=2E6buFM6cB5!HjJ&=U9fAx$-_ZTs1o2R0H>%?i_F*=tq{UDKzW?z6WV8D zB}iqVZlaD0(vB^t=OSHr?>n`_0?w@8DswTo1q%2tJ}C1)w1IM6C&;z)^h?&oIJy^S zWT?T9(IH{1i^w`XqZKdf^F8#P(S26MJw>nW;*8m3svB!Aq^u7P?LQHADyHdIHE$O{ zVlDCG@v3v-)D>>htVUImtUbzdfri1*jAB88-3S&me>|zpq&~rP3lLO#-5sQgy#Z<& zdV-I|NugKJOx#2w%9x&eg*GSge-_sBhrXQ9AC6%!h2V`=;Q~F3aOf+v=6=TOCp3Ae z8I;ISY{6-UMZ|LKL+s34x$y=*6!~@Cr-yPhWaBDyxSn_gORdC7q~}}2Cv==j?F?%? zy12A+XRY`YJ;pwNp~AmQ^IZ}9ME?#KRZCtbDB;7C_ghvlF51GbvVXf-X=&@N2tjQ^ z$NG&}kvjmO^?!9hhUlS4eC4PI z!1i6V>H);z5dG9Qh)CU0&EIx~!t^9jnWVE1eJsY+3O+J7z%>{jozanruabv(!kq8Mw=mmTt zc`o|X@MuFVi$k=Av)W1=8Bu%W?FFtX-wM?Up{!WD;d9|%8pY?8@-FII8(D!0)E(~U zlmiL_!B(rQH&f+4+*kE^P3^x{I3%)s#yWthU@ZKu!Bf6D^1*K6Za1a`s{TS;BN{M-eK*QKjsB3FK zs-SsPd}%0k@q>v0xUAcuM#6K4{_Gt{?)%*reml%B>ppW~ptBMI*LVd-b8G*2;N@bK zbuVPNKBml;3y%y1ePU*>10o=Hq7nAJm|7toebPKbnj6vzqD}8gPn5bW>Tz|d<`(ut zpquGMssIKQW+s~QESw+<@U1RGA4}w;=?!=Vuo|-CXlrk87hG5!hjaCla9@qB+wTY(X5s58LblaX{_D1x64A@vcG@0MHnBf<;^# zl08QL)JsmVxq(F@SR1lwl$KZgpFNlqr(P_tzn|OOP->kgxWX)aCa|eI2mp%U%qME zfu`+u{g=}$MCvr$g5ry& zvYxH_^$~_rZ}26G3aHAB0ouekAQwAs z_$7dPK-`^dF|&NJ`=fSKK7`pQn0bvpsl#)W1ZK|v7J{%vZu!&P_F<>SdlQkQ;$ryaIR3c7>rEoxI(|Abn**7Yeg>#Ow>|GF zCtO-lVkNAQr@Q@-_5bw-<%pPukqY^Fhi$hz2f%ZUgjU?>^WL@}Ra<7S3uGoYu&3#L zY@7%3-9{MhclZ1ysiiPu>ClgZd&e^cR<7Ih&n&CdUIcBG_!PWS0V?ACthZ|i<>b3i1q)#v9AsV>VVMkOAMEI(6^wf-O2DZ>(Sf@)SGBSMEn(#*?-wO@0yTKun?_{ zlcAi-h*f@G#dwnvuB@+aSZb%^J9UBPuIcP`Lc)O--uH?+sf;d!Q!rQ8*=S-&B0@!Qvw>in#s);l+op zCrH@SV`9cu3M-l6vr=S9Z~MKGi#Y8l3T=JM6MW0AB82Ui^yf8Gn~n^(miQr+!WDgJz?9pl&hEj z!RKb(iwF|_V+i&yWs_SaK@q=>a4 z76;dFEMSy}Y7Z3ZXGjK4Cke<;B^>Zn5I=k=yJBF9co42=JD_dFbQkgGH?F!QrOwX# z`zXKw073QCI`SZaRX~UXe+A=CC1+$X5L?4HWZ4WOWJ7pmpv?0N3s+#+BR{f^{?#`V z{+0b$(F7|leq?zqe=W37lK6AS9!^qMoz|3aK=vruFE7rNu%mn^k^)Vfe~5(`VZ9Mo z&&_LAVrZHGJpJDVM!4o5N5~rBentgZiR7KE?DT0zlhX7hf&Nz z5E;I5_8?Z-7e29|zV}?xF#==-$X|?p2Ky8ALE05>NYhWG(pbWQ74**N0QS5Y<5!g^ zXO$TCqEKJv0i^v`!&PJb3n_;aE@ zWt;Sy)9#a7Ac965t`S`EE`EY_`!-Fpt2Qu@%5cdl-jxN?`2-GCW#JQp=z8IXhx|6u6mbP%5LA=wrLv1j zY%WA@PDUc`6v}ag^leJ0CeOrS>JBQ??a?rkO$KLfDscO|rOx@kV=9XMeo2nz%OF^E zI-Ig>T3~O+{U>K1Gq~`C@@lET*2c7xXGmdraL++Z6KJSZ_V5*Drd&EQU+Zp{^e&fL zB204^`J_fW<*dLlUnQv=1a`jZo%+kif>!_i`m#!f#%Me*p+B`R`9l$U7I3M#pMhZv zkO#;$NZ#0l;5;E~aiq#7gWrKo1Qdrgq5;R_DY7^YVqr@B=$oaxIh?*o@Kk<&l)s|; z>C0#-?Zlxg!mwl6i(z_&MeQ?Qzc7?u_yjTTIJ{|KU|_TpiB&du;is2CwzpimxahVF z!Y{Bi=}B=$qEmHhfOJDC2Omh7M|!=;BsrM;=?!J55h^eYqZY+|c0hgIi?L%m^X z_&_+!`u|K^UJX_w?e^d4rPEEn{JCs2w<&+w8^uixis%_vaSpPzQofiKOwpt`y%qn( z8o8InwDeD%$rCU4jm`sXe%#Rq)M=jCjM7dDO#Y*-TTVAsaaa_DzJNwRr{7#-&+fok zQ=j8LVv|Qyn%!`dkOM{TA{vX~3ph-{^n*by(w!2~qk^+oioqEB zVF}IytFzXF0Fw`po&dyDiP_dIT9lI{=%NHY3yytNB{+I`0*Kh^kCpP@81fE!c*FnC8_#x(r9aO;hB}NO-l`!iP)y%u#3|^}E z^HIh}s*jr4uL?4qq{L4Rb5S3ttyL%yq#27z<^f$+HsmxlJ2t0RZ6lRl*R(x3>{Y0x zus}(g3HKY4M^rE*CH_x>CbOJo`k^7k^7Z1dz&|p*-inD-FyMYX#@pee14PUD^dbfJgtw3wA?C5(xES8Yfl!>3mGU(ypMaNy$QAE#t|BC9^(S34$7!k1I zosJ*nLTMmb1(@uv>uNhfS=)!;?AuJWpa0@W_;w^0NGdE5%0E6m-+EO=__;LU(%`kU zB?MbQ^MHK>lD~jpLaMw&d+@Wl@b_k2fh=p^!SUhRuxUka0KO1JnLTQL?E4#mIBo*R zOomwNkTUXbDX#~B$vZ*Fw`d`o&tvMfzK`6nRc#M5iDd%h4)a=-@U z>yoElFDAodK+xa~@gF2nwyR`j^BV|r5*|bC`S!c{PR86ONz<3Mlf!ET-9Jw5hc2P+~J@lI zO?TdHW3ixQ9(E8Z49|oe1V@##gs`T=P#1ULFDl1FjXl`#g7KX?k~~)jt~3aan9-H~ zixazph6MNz09~?d0FXsm5PX}&HgR~EuxPR9D16nf&t~1x?OjatF|11jjll=Pgp$l1 z{&j$QL;<5P|9Peani_@aX4mLPSJ~)j8#wuVZ_7+@W;)m6x(>O>Qk++nMyp z&>34S61zgu5m*?~XVZtt3q~qFxQoP>*t%5$+HeGrt-*>XBNM$1XdT1qviAa82kfpt z?x_bySFyrgPeEXlnWQ(P@a8y4m{1K4YPZ|olCPE2gPLJPlHDV%%2E1w=Py<3$Va5{oOlp zwEzJaf{wDS#U174h3`M|&#^Eo8iPp7)5p7u@XexfplpEh07^xA2CzPjRk#ldzcGV? z@Rf*H2N!^xE6M@xuy4lU^d@R_#lowM10<=RS??O_TtM@ZqMB&0W0p9$c$h5L1U+$QH zrlBmuxNlvi4B?7DjznHTD*gO-i3;(W?3B5i^s|%_kS={1X_gXf&dOgxQnoOH zDYzLI@)5lRA%EJA*<;yxoS2>I8%ifA z)wul_k&gl0B7*rce(ZEO`JmB8;{;G2?JQOniI}W=SzyZzE}>zocdv%M=5t7*z#d>J@>w%Ng~G`ncZ zpF7=1BzhCrvYhQ332@VjJb7k@beYXfN8(0JxMjTgFC+LX2=YPX70>5E_c8Rv) z`!+ufKhx6Eh`ZVbZY*@nP6t7(dtavN5m=l5Z?%ngPl{qgR#?^IX-dMqhuzvG29b@> zZM~UN`&}q}r|0D2xxyP+KFa27J9j3$&ovb+0-i%Q&4VN6!Z3d^#@7@$A0=}wE7^G9 z0vm83_>Cxt3{TWcji*UyE=7WH{}_4E4u?6&q#^TN>ZNJzRwPw#rfVr`!73xYEK5~I zg+!--^?#{lP@6n~0G_&&&P^rxa+HBl_(*QeJVR@1D*<*<2gO3y(4Nngu9j)MGW`Vi zyz^fqG+W5K#_a_^))(IVrLXV_JZlm|^p2rXv8u5}8pa3QS($=*&Zh z%rYVOV7;dXE7f#MtFE(MKqak|+fac?l{1EVaI1~})1xBbH(-OtkMTtjyGlT@FB4qL z_EqmG`n%23;dYdMYU-i--M?eFj%(WO9|@ss`w>}bTgXPM&gyRmxI;QrGRwl3nR|bF z;zcKvJYtRou#4!bu&xGON#T#t(0ttiQ39G=`FzrS*QUnbhC@Z`rmGZ&>8?C10{w5q zW*N8_6R`Yz+4Zcq7mna+#TRY>q{7H%GNaaGu3bRBubGgaIpF)lKuWxCw4TyeLa4! zrn|CM6b-M~tnJRebGz~+Z^he;??n>=LeV#lBA7Q=SXjLJoQ)yu>^};-L`YSL;nlg_ z4NV1iP8TDC?$(>che8G2$ayj{eOLeUus{aJ3({R+1q;ni83?jaegN_(7%(d2YPkI_ zWT(h#0-=SO*4w^DlQd)gU4PSJj1-Ukd6B?I$6LKDcH^<|`Rq)MoxIYiCj7f9LzC`M z!oTX+aTZ-=eltmJS3Aj!iTBXf$}<89%8BaI4;#Xju`3EvM7&b=fq;Z=Yi+mI`(>)V z!r-NZUluv;Q*#J^a%SSN^9A*%e6{r`=M95zQEb4>xC!_IgD1|EbRk2SXdMIk2Tw*k zn~+lb9o^-L!3b=-OCn2Emvx-=34Z^W1?O-XvZE}($#o|cv~-M^qs{X1t;yBAJb47 zZw12fAJ|Mp9&P&Ap<)WhvNBPGu>#TwpFhs04^efn?|x|nF7ELBK^PN)c${8odZEhk zwtW-OaQvW$rt&r3K*UeV7bsxQzP0P-nCYoWgQZ=LF|cL6_#Wu$I(Z9^8Rfb?Zwjt6 zSRB??KYu=8+-=;YyVC=xBhp_!DOhWbf6!Vpt0XhI*>%L2^US!5sJR>H92F#gn(lkn zP{IFy;@w*3CUBSXTV83oe9!ks8hgm%yJM5*qzVJQ7u54W`L#^eNynu~`k9qxZ}Ps~ zGjLeh{u+}Ux+XQ+xzazJOIQnlJP%j3<3|*O5*QCs_Ox|>@zD>jW98$|CQ4wX*@NE&F#`T~gb_TP;8nZxYk?=uf~x9Hca6C3JBxNJf`Rn0O)% zv(7~@gUb-6ot`@NAjuIBC;Uu^3j>(P;Z$;zAu|>Bw%&3AmklUPA42w#Ae(sQ`YJ0= zO?}&>H_v71VxD-=i6wNAynN@DBe zj@RAREDW8PWl-$E=S;!`1dSh_B0^3f2tV?0u{FX!sCFy8-o&ObSNct})!u@kt% zfJ;)g@cl937#hK3062|tji?=uc5SrgXTAl2=U1h}JD@Z@hAb8MJ~Hrvj)(XnW-W^G ztItL{yQq7y)8h*b>2nEM<+oWT5Xm~Dy>=K3?N*Qr{5zd=mlAm6 z$qwVSY~QFFCvz2IYR>#YiWbDTaG6&3m|%@RFYreBT-J`yg(3l?JbhqxLxW4qazWrj zHybPExB*QoGdOuS||=#Zu(v1lMsDJlv$s`O1nq8!A?TW{Un$oN{dr+N|NA^?rmiSGmUZCyV%xLNFaSgJe__@1Hu`=Fw-ng(RnOS}Nnty6p8~yPHDs*_k^gVoc`V%_O&`WW zWSf7S8?ONV!~cX4=l9lk4$bdk$EljUVbtqejPkk;uG({1*H_boE8ZLM+$67)jUH@y+36T zR`a-aS`k{?Sq9t>0(^jTPOd5Pqrl#BpbkUgj0rm33YMbcgJE+BB{4?w;m<#=mPA>` z?J<>T9#QvuRcwRhIoxExO7MAJEQSM&bIPVfrdN-MH5%Dy^#G(5RHR}Qzd5@B+c{|F zmlEaT5J3BQqPai^QlE8%W4M4^-_Z}YsKevbdE6tLOQgs#F8obY*`s~$PW;L~aT?c= zNRE>n!AhIYQB;Wqh6R^j6u2q)q4BQkrYdoQF9^sUGZ|5>;pUKQ0c3)(2Kkwr?)l(Q zGj% zZ?$n=?v|n%LrRSQ%6n7OMoxCJLmRQTI&O?2_-&Zc7;a3cXat`utj%7-wqzj^4ck28 zwuMF1f9V=zxl{hEc0dj<5D;J@1dq@S84U8!jHlYE>AQ%;w*D*>xtJ)8*8+zU-O(*( zyCZa*GtZWPR-%3g?r`MrhCp> z%|qn^q%B(5PhxQbJHF$n`*@x37)VNg#LPlZmk4AXT2{Yaf0D@J|6>skxs>*HlT5)j4F-^NX4r zn)pDeq|`7{iiwKtX{ZrxQ&{nt>>VAa=dNez0ptb9=A?SyMX>RSrhpVqgEJGTo0{`% z6}$bm)2KpG9dyy<>Ktz;LFxw2I>N7@PDa`2)Oe}_cc6fzkK^2;JMcd`i*tgUq$8r9Gh4(WD>>3(TOJhXMgSOmj zx2Xb8j+sFsCk#F#ntFP~8w`&xj=E)P&0VGNIVk{Ra*t zfdg~6wszh1YuETgl~1t0K6&EAcW?zHZ9bQVSFWUM9zwcCG%nTDYLB0*X(=FrUw$8R z5b^AD`>2ENx$fXq3;+IS-V3t#kgK$qSW3xaSBaK_Liwt{&7YNI=R!NXx*i!a(-q#O zTgQJf>SMm+)3ExDte^Tq<_j+fKhhK!nDVsS7eMwU92{re+=}3Lj{`Suz!C);7XknG z;pA%!>24*_D z13z>xJ{}Q~cL^NpIX{y%b7b~Mr>@Z$@6DO{Z}GY&<2h}nUQgjc57Do;Tv8#24i=a7 zPU0=us;fp{>WuN;8{751=y6KXM>HajoC@4x9rn6n9N>bmd)du2%1uljp~DwQp;erb^g+_5@1G5~#>a?XzkBv#4oq-0=$; zeJx#GE9S2~=#xQ_@9a=M&XEh{U3S8)8i}<=mdIo!QZ|B*dB2w zL}H?)6_F#fkIBzs;!Al3^huvTC;IsMBA++g@$ zam|WI&D!VRPc7K~rfa}!?AzGPy!pI-$9U9w$xtN8+y#+gL@GeQQlg`AeM8A6Vb&Q&5 zefESZ^GB#i)JioEy+CY${#B7#)_{YTax<^wdp&J9e`D2!OL1{=!y_Z8nsMMQo|%fZ zIqa(2F#3!)YQFuNq+3tI^l6zt$5Eg1pIlx}mr2~*%;uQr>f~1H@S31qa2`sHx(1*W zOs~bB@x}P1KF+0MP{-QTSDT1*!smb(kifIp63zJBn~m-vc@GP7a?XIb*+gInTv#w= z+^}wT>0x@(utiErsVTf<^;pOopAE^$$+Q&kgHX+(6fEi8SJIn_c#j)L##YKh8{y^U zg?rG9U|eQK`nczB$EvnLNTIIYHx->7eE#{xn-!InP^8D2I_8>(tq%g3drL;UO~&)9 zkuIOcbdQPu%ntlKYX8bnBK+&!yyqLE;+C13pX|6;8`SNiHnx*t^ksW$po34;0lurN zk9D1?D_Uq0j(Cw2ab^EigUaqt-QDIj^ijEoq7GE7-HEGPA20nF68T|}{P3PNH8zGo zNd^~8`}WFw7j2e$8^MLjbeF9Lec7kW9@i?lz4OL5u9#Uksq$fdL}Xh@uZON-%K*qe za|wU{BoubUltvtNTS-^9bsTpO)^k;e&CHA^fq39cO<&*Ap#es6fgU^8LzMDOUioBhTY zKjMtKp+*0;$1(g)$O5Q1oE-x^Z?=a<=KnP_s?7 zv~`znt?;~HE_1zm?duA6s8F>X; zNYUo^^a>j8_e>3X-3{=n;H;cFd=K{>AAJ)&k`?Zj~-hsHO^&pIjf|ftF)JvdSd*1Y2Lu`6vhRpJ2yD06e;?0a_)rU$nM)(z&c}?? z55rwp+dJfPoqn4PzRLI7A+@E_?f&|cBlYfYE;dF-vjmjCxG`b$R3}Rg8!l}?s6t!q zpAQgYkS#n zHA=fv*J_M@TKwpXq%aq!6t^CJ2Rg%dykO#>VGh{$O8E zLZ(omC1pKdX~Go*`VRd0TCLA={1}n#e~3)$keOrUf^xNdr9_CZg(~-C_J8bi#mgjF$r| zca7~_f~D{iR2O|fFioh*ID`p=vwq`7DbWbj0hG+i$jzM`TDf})UGfwh`=`rnJ9u5a z7oU%u5Opb$x}D7xxZdegPKH&9@b;PxPM=Y_nxZ`QS*z!3x(~M9ei(%_5S+H*c?2!hOS&4 z&z`=5r`7{LKE5e=33bm-HsQw8@9tiT&Gc%HduRMM~pY59W?n1+S8+d-N6Ai2xsc+gu0&h%se68tjy?J6G!=L zBhhpD7K5{?RM7_>J#kneIN-?3b9gwwS0s{Fp$rhL?~K@Yv| zn~8d_E$-LPqs5Qbbx@3)&vHI{qL$CO<`%KVf z#k9vug)T=64^Q*mmn9_zP5HAgkYq_XQkc1j+Yff@5;+0TOp_<6xL5|iwFjV6+$ky5 zKO^lU!n$K|>#yuLjpBUmDD|S2Nl-w58BjhfI|1q!?p$+4-es1NZ~KFM`G?>Gy^j`E z0(wxNUFPSvHnsT@>AcaH)Qgnb93ELmpOzG4j31dz z`gvf?rnbkrBw@xjZ116W=JKQ}r3KT`W%85?a8Tfe5l zdK6md43g?aZ6dmlj*fI7KU58Hb(Y4)mrgA%E?Qbyg;S8ZtBP9-OOV3XD`I%9?wHE& zoE6$J`-I2E+VFcZg88KNZXH05Nd*LQDp5qX6uxp2d)pDaZmh1cXLVg}mCA$_sNM`_EJEs`J(L&N_V^C{Zb z_xBH-#stg0bEg&{9uJR_Q}IVIsGquIVZopI##uOu^s{786A(Zhi)*Z*M*xBMtrVm6 z9iu<;&2?Dfe{A^1kl^*%at;+N5yvat#oS%E$Z(Af6XEtxjb8OQ4|wqPK;(H!To<3~KuyG4j_kas^x{*)`Qc=mf8VKV-m2YDJ`z_6hgIO+yA~!U?}iq?VqV#~9;W7^Jk|8- zAn&3%M;!yIp&=aA{PX8?EKl%E1FK@j5rMb=;{NX|jl_=v-iBf0sf09Qm}X<6MsN&H z&Nj3IIV08rcuH~LB$I>DRR#kz|JHyZu$^0@il=zp`qmk!iLtk~x8FmP*Q_MCW5bWI z(=r$&LogAd{cmk+dxQ%+1Wgcv&&Xk_R|~b7)BA6uE`#wC-!?oIW~Ssv`M#EaY!oc` z>E(y_!rnp)LKo-ImHa=~wc*IGyObf!e+>nTICxtz9PXpeMS1+$77-QogIJD;-){xg zZVIHhQi;3=59El8HBnf0c4mMi3eDZ=)6)N^z3U8X`tI6s)KRys14OAsv?`*=28lkR z3<(YpK}4WN6P5x72^%f)SQSXY1+rS%VhIqD9neZ5DY{qp$5TtJflIRA6beV=pgGbnD572G+&G|7+td0F31E2YfSfxQ7XSq6Xh@y$K+ zA#Uoypf#7?2C{kQ)e^O2ZEVk`$2ftE3}t4sErKpdZSk}lN8pma7r;n5&L0CM2NOO3 z=&q{ZK*&17(1%0^)?x#aR5J@9dE8$!YlyCXNKFrYJvbjjvc~y>!m6Eqe8rV)Y%) zbbPV8A5_OHXV)tM-N=TD22NB(5;*@`zOL7Xm;)!+V;h$;@@}jwV2hQCa#4p1JKwjwICF(ZtAi#h^GW* znV1N`moha=@8ADd@ADFf0{Mdi@sw>X^gXzQUcwp5ykB?RL{~)$JpO(7BbuGy?nqIS zA*KET$rr9!`#(&HJogn%b=YhRn>F;nE>y*vm!rhyxv`%d)8{^zF!Nm7`1*A!Z*Gn9 z`nx85utIeW4M~-9c1?U`huW4cFUD)FVEG{Sa_-(GnL50VlcVDSFf)GCc$^?|{Map( zGc1DjVv{SV889UfH9#YHLV(E+A^${tG(dtw0M#!DxLqFBz~|uLMA@Zj{J5jv&!XU8 zq~5H|vl~m5m$7PMvR$4W3%dG1@j_n`L!%|!!3?Eh88QD4b9RPUT{n0 z;**&jRHWdHE@-ClFab=N;+c>9v%nbf<-;31HtE}WoMh=KhlK+=K>k& z6tZ@*Vo%CrUrgQNp&+Bjv3kBk5qv|u4YN3z*e`hJ6Ljed6NOXBK~cApgL=eVzeWei*42k_|Cw zM_!3p^ZuA;t|do7M|unO7wBDO?`1MmG)}dof(Sve`XrVa=iBr-&Hsv$yku|@mB8pF;#lz+xlw*pfNgf>3D&IFMzuT4Ak^;4soTtba%|EVB3^MU) zo_hi^$U$^d-%d#}B%^;F(vg8;bbZ_on@LHY^UoK|3yNrX{@is<6uv@>=&YZV=wbjQ zku!q!eMfj4QxMp!XR0;Z=-_cNKVk0E>b33E8h1B0H$REODvq7!yrPBO3NvR4UACuk zH+-Tnlwb5{vk2~bQ@~=z(aRYVu#!88#w7L+kU-@A*$Ue|_QgUy*}3 zLzvnJZEos;6XSE@3b6pq*bM%4O&Ww35f{8WpKzn2qc2m1z(C(}gs}ypQz#j; zkZ^qq&`t4LIpxr76@i0PQvEcGegTcs>d0*Wyu}&8QLQmXuSP^7l39Q3H|_54XN%Bf zdjt36P=?Ln0d3&l@57DSfIxTtb>+?;rvE$o5ncA=)4S!Euizn3u1Cfy*X8kaIh~N$ z-rZ>_RfYY0XQa^#TP#xIL7s|-;lWOA7};TLYdc&LP)xqO3VU`p*4NhBS&MpfH4K*Fn`7q^tP!PQ!tZQ`2@$AkN>S;H( zs>YzvNB8gFKQNBO^ymq}as_+YvUc~fV_8xBxfDfv2M43a4j##y>EzzhmXRxJ=`^?~ z{?^Q;$*phSzNOhsJ-hgT(_o@lFwI_a)mm?T&O1t^w)je2*<2-BA=Nd8?Kd2p}Bq1I0F^N2mCEoB61zIX@un|JQlUWr}1+ut0#)P9V{ zn>m=JcJ)=G3N;GaA^Wng)8uZbw?tHS#p`#~>88n4@*cZ|2y2_z7j! z7&;p2ME=h|_OS;sUTd?N|KS#4dHecKwL%w8)hnkAr6Tg?(TU*_yMc+6_yB7Z)<4}Q zQd`g@%mtN`gE0yuPn|L760=0-E2IMo??QO87$X)wkSOFfE)=n{RE+Cl*=^E{2s=)AHd%9*H(!8H&*|k2&Fh#LhV1 zy|@h@XmgG0!~#WQtbN+iHa0j=zfX7A+ubJKV!hbVaj40tTVXJK^tEZyeuXqnTe{+6 z_0#vn_+j!xO8sk${AD{jJG1z!uOZ9b zL?`6~$FstZqtM8$TVktY%s`K^s0pApIX}O7ynXvb0_zz7*X-$2CF{12TvQQ6qU^cc zSb}qP7eP(Rl7@1r_L*+6Md48Sw_)YW>157GdX4LMqE6`LPZKP!|2v#5rza0Zjs5R1 zCi)V_EZLMRKgfaRZ}}4PqUN<19OM;KWzBsitw4Bu?%?B-8X-NWtA=Ea{bN?SxW(S@)kpwznn{Fc+2}JQI_c}I(qM`hCmT*=5QFdz*(gn=Pc?Hm5 zEk5W&K7+@_2?T3|T2hUTtE=nd;kq`>`b(iE5&U{A4+c5QSUkAs%IeaoHbkGca~Nw$ zg2*W%<>(@tron?S-&VM(1dgTzc8>>u11~^JlSj3BlLN%M3fjYT8E-3+laaHbm{!?y zUzY9C6C2Y0 zt$03CgA7cirfRveFN2Iz*VL@3weZ&fztm*w`@4>gj`$027_0hBz~m0@>^Enzq~50H zXzKuQQgs#-AgqJBNKZ)6kH{7NO+9i;CJH2kdZb>fv0<@TpReAPwJR)DpmY+RSTtOj z-d-S=WCcq|4;Ksfd7q$(g>_txnPa0-ce}Q2n&OS0WVLxY=SP2@vl=e)-Pp$h$Yu;c zvr8wJv?f5$(8AfdXRd8?2R7B}K%#`?RA{{{M;SS^AITaDlra|VN3xG!M6N0opxJi- zl(}|0Mv@!g1Msxyb;jUCO>x6TcHi2vQM^Yb<2L3HA~c1^LmmU7m7J5HSx5kr?2vPy_yH1H7RJOD42B=+O=ey(+>eh0t9mnbmA6_7-PY;3|*O; z5f(OI3dr&KjIdUtimdWvbk!v>z^sZ`UI-oyE?kb_ssS!AiLGsF&z#o`zLVoNET*T1 z^OA6(RhCS*iuC+67<`y{a0+GF4y%Eml>hC~IVhM0-g( zZEk7FM0$Sso=a47!I^X{>G7^<&v7@s&}<_gx;_+6mt3M^XAJ~eJXq<9g8d3i6I{1r z8!AFnB=0+2C$lw*V(-bE`2U}`n2>*$s{Cv7zQkH`M8>=K?#kF{|I_~fIihuK literal 96391 zcmeFZcRZH;-#>m@Maeix$jE6+W@TotkO&#syU5;zvbWO~vMN$`W$#UqO0u&;WbgTX z9oO}}@6Y}F@Avrq`Fq@-$9Z-2adA4%_wjzeUeEP9!qwFjFPx)2heDw)+*XpiheF|( zqEI+-glFI@4Ik2s;9sJy^17~?4py!nrp}hAJEpFVb`Gv~56!N)TROWubg&oX;pgKK z;=W?z>gwns%FFxszrTaW!P%NuwTxK{-i63fNzVm^A~i++!6}f;e~7|Cp>E4bYk6iY z*L$UE&840A4>gq3uU(p}|Yv-&EAiYi*CZ zt<+>44sb-|2AEQZ{O6^>F*0)t^*_Eq9kO_ys`P(;ODg$=^SZ>XeEVJF#v0$z#PUL@n33Uj~Kxshxf8K$(HOfY}$?Sjr7KQ8FCj9^XE8s88wEue< z|5>sBU5)>jdxM!eS|QM9rF!0zH1BT1!C*;?eI?_nDIc*5n(xtf4&Uv!#usBx_xt^2 z@&d=IA2P2#MpgrNP1QEPNti-{BCn*6|34eFYr9aLu&XoFh+v}Vh zoXO)A4}QNRPu-&X@KSvtPE$GNd|u*s>)Xt&I@3A$=3s?9k?H<{iFfN`y?ps+w$ft# zK3NHN#4^UN`t8=*Jbrv@qIF5=?foJ%Y=o(rz*eUZ3O*bjD?0qwyyU4!z>CX5A*O1N zjh<|4`|kG|hZvP~x(ykIE`H0GeLHA2RBY&ZvOmARkQbW^mviIBjZU9})|R{e2byE9 z-|kGWhcfzwDKdEBOYV2y<$L&*rObEa{X<1Jx)(k)zrRmkYTP4uWNS+v*}m2%w)$&8 zk+Ho{`)#RtCy8#+5A&Nb1m~%)&_=h|Tqm)q)qZ<_iqwBk)`6 z`v07LHQk++@yNF&4YY6xo=ZiQ>i6%z_C6VEJh^eQ*C{FU_V1`G14*c9#c+sAL2Ji! zd!%;kXDdMluUT?#qq?fQIg4@<)*+@LS(d%YQ=bI;@lnX-b8v7pIrtwwsN4FgQuX_} zt@97YViEbbgDrM9Nf#wTz5R(>=`L3V#hIo`OM9`0lF+wUrWl^79goS)#T>1LO3I05 zQZ4-*tt6$5KGV4W*&tUEed zTKK3v*b@>Kub>8Hq>lNY9utPPdQOM4JGWg$eOcPxo7im#EiB|Ji~3zs@3U*RzcJ@1 zOjos1vxM3j3poCDR#Hk^`=Tlv1)FMWz~s?yA$3Z5yStksu$$6c>X!ExUihp$RmhWm z^5oV(oAR%F>zwmc$7KgO7PQ9W%dwqKhkq;c3JM5GLh(`zoQY^JUyj{4_olPVWnRs| z=kJF#Pw`YC2Zn&0OrO{-p{J&)6e*kil8jP!yWNd9ZP*f;Wl3)ZacaJ9vb&l0@+JP{ z!H>!>O0BQ7CN@7Oca`NV(4Mi_KOQQyaa!iatJvO}t#Nm7mc=!yta{DjLnIl5EnKA+q<`!7uQG?a*}dS;n?h ze)F}=RbRyqE5;`qm+%9n$DDhwg|(Y`?oEX{!PYiE-1*DF$+@`89~lv`2K#(kY;vE3 zr}4qo9pfh#%{yb-Gelg@yf@@ZYKdo6;d7V}hsAGvI`}9UKKX3C zN~zzmx9{?(L&QclZOnnw6tr7lcx+1 zKH4?ct~Q(xY(}B>hWq_Od{*l(^``K4Zp`(rce7{xYB|prVJ?-ZAi9Z|Asr zwe@l3c*xhU_k3ZgJhumRoJJp4PCb}BpnCrN`P%Pvhv_%@FGQzLBo3DaKV?ZWs^wF7 zOn9*qpTT4BKXS@|(&!0W&E=$H%zLQ_wpG>PN^P0Lq=fj^7uh{nlSu0qURF{=iKeMI zxzK;M0@+`9%HU-C!p(`u<>LeC#ZK zjm9|H2JXX_BK>Y29#{YV{X5N$4iB5RIXPI5^?x_=yZw@}7K#J5aml0oBpstSHrHui zH8dD$B(`pjP}~*Ax{NJXFRs+C-bZm5AC3%ZEgAal&nZhwKlQA0Te?pW;Jo=+=zmq@}OUU1ZS zx_g@V>>2L5S8=76>r6-VIn*4Kr}Rhre+J)b_l}N?Q05I37`P6|E3+k#FCEXaOKPAv zgvJ~Lbw9$!8_Y;new8>fqK|y=#g&!&^okQh*DA+yx7=&fZ>1Q*XO0-K(SqG_H5rN& zCrPNRUa5(6-v_<-HrPM9m6Lw8x!)Ekv-(qZJ>fuIFp%lu`=qh{*TMh6w&%&w{@!#X zuk(-E#24GkuS{uj3{yZrvt3a418Q1RKU1>zt;-%C3y`E>|V}2bef&c z7xLlSi8stNy2lff82!9sJ+7 zb{%j5m1W6CQsqFM($?0lI{5R}v~qMEHfe!Gzh!^kDb)R6&ef%!>t?R5u3=fQHK6;N zA0KR^0^smtuu8vvJaEuX+S#`58->Dx9E0Oke@6St2iqBSB`5J}`DIq0X_2i!earj3 zuF?JbA+{y;RI7EHF{y9E9sD-a3(Y^no?djNJ=|SoTwA9JS(N-|QL_2dKVv9@VLyw| zoJH~3k5y$@&UD6ho}R3pl8o+Ahlo@=3Dcnh)HxD2$7W(BV@&wMe*C!aJ9pK%+smkA zD6hQy-UqwWlVc8E-b;t91qqV_W2ss?I&T?##2HXh9v(s&YV13!lcYuWBl*oc3Vx*X znYLudrp1noj4+L7eUdt1<0BT_*l%S#30R-$l!bSMG7Q~7{YG1tQ0&TZ#aX{b#`gAh zuifDvKhFGG^L>82Us_P0^eMJp`c;%>z8d{cqHP%;A2C>^iGBC4FK>5Q2nc(wU3smV zhDqMNkuOLr=!<~pPuT;DuCg_f(FzGd3Bh;)fLua*=VbKs^weYtQJ4~o$%ZFhl{eB< z6_-_iUao)AIyq!8IO?0`(05sln@XjxJm!|kk-QCIvY{m5os7O~I5!<8q5xZj zTbg%7H5VJ!YCR6Cd^{Qgg-7QD?;q!c)e!g@%}BA;I*R*mFCvBG%gD&{%_FIX3&st; zB3~D;`<)(6zD+)bq8O-ifFrTD8`4e*LQo?;C^KqM{e(znexA>|tZPnjMQoImzQh8jX9Pj)JG%Poi+PPR+(ii$48-rAvt z&6Int|Gh4Es<@ZH3$NcaQH+udMkSY!{a4P7v@SZNqvdD$(GD57TtL9gQgJQGxBR=I zxg0h&Hcj8|N?s_spPuk7KKA0(`@iZo`&tp?xeSO4zNz#14cj%i@+oL;4P04&UZ>l) zl=y95MUb8F<|n~2)7CTJ2L~@4h^t8+yBfHBzOe_@n6Pm&7U``H_1jc`mX^-e_n)-5 z@V4^FwzmYIUoUcaa(;K*gYl#Nc*J?$If*4QM zLaP9iIIg!}G6!__6Y7hR|FIh-71fRxF`QaO#wV0l@4st8aKL4UI&w=(%by=?FClHR zZoT6&Dgde#?!v>EGK+5Xf~%;(lkGvTU9Z*p-RaLllWlcgn~u;$;9SqFcQPu9GjtyB zPD;MN6b?YNl>~@G4AJQZ@9DD#4)qrsPmfpE{ZCg<+Y>o8OYO%+6O)p{-PrCt4{AJ` z<6S#Eu9}GvTLZu}1D(1Bwt@4`uJP%%aX~>r6Ew{j+v4go{cv4n;`AY=3S=op-kcvD z;LA`6ZGXILM%w?VLnA$J{T7<1W&z_1$fADYeV5G#{ko%#-o2CE##jU!O`e|YBJfds ztqE@rTE<)bU2Dlh8e}`n3|nWl!%hiz6@8**cn;^6|H-^R(hNx7>XdXK|G`2ae8|Y> zZ^6zmqvwhxwH1fga#`nE*6Dthjje6#UB3;AG2kS+mG<-v8%ZT5D`VAW^$2*81Zq`g z*-Le_peWfgQSXD)^QnwKkq8ciK0qz$C(huzCOziVNsn-bQnU7RWqlWQ44xtjhy3#G zA>&wBfY(FEchUq1E(_VWeSf3r1Yltb;YN=hJwgB-_6_vGb;Uf#uK*xgyBeMxA}8rA zgC|PzXo@s;*YUrVg;WYM_x~@t0voUYUMnNQ7*ju6eM%EN3l*h#odNCgOaQ*d5z(@* z^XWE0KNg7F{?tAevY=6{rmf`U(JC9@7{?|w2~3K#>~Pxq)t6U-Zb?n>is^JMpQT1 zBIY>&Oj4c{6`*INP#e#MwmQ{?I%=&Q!98?r-ehj&Q}t8Z+Q%-^gWz*9I5_yrqAQSO z?Q0H?AIm>{_;BJeuq>XvW50EmwO`HV{K#j)QP8L9mYP>WE}e$Q)6arBq`O}!oiQyZ zkbqkuc)+F&mUJD!Mz|#`1X5V~;6T-lrmC_DXQ~a7w(@=I?)tw!FQWbH-y3Kzj2GEG z6(hFN1Rys+uwR^_!n(f$Ay$sUQBX40JxQZM1*mFuVL`6>pWkX4LP1rUO4k4fJFmW; zUh;6b|I62}&!9}w!*1>)nu9A7xi}>fZ%WN3DK04h`=vEpL4$J6lk}NLH6cE(W3@r2 z4>e#l{JrCogu-`0$nu4p`}dx>lz)!>WD1w{zgpV=m4E(MS^WQx&YEckq~sRVr^2jo z3igP3^D=7t>NzS(O3Ef+4Rbw7h*TECYy~IiCQ>c_yJ%uj=XLY1XuejJc5$iL^P11} zXmbIsBxd9_cku`SMH95g=-02=5V@e!={>Q_25_D1p{1O`jqhUj{wdf0br?G@AFnf@ zT$TrxwmGg{`>eOJd$>M%dOV4sE<}sKL%r~vCQ^NVod|S~7Cq}sw|AjEpiO70v9}ed zvf;^VwB2=B!V6HyTXebgd+-02vwurNjF26kFacm}(w^R4e(xOI29}7q0(|QQOJIyE&m*2lYHfRHK`d|9s=6t^*RDBhd^HB=S zWA>Gg(xIfkfB$}~rvJa{vX-{?g-t!aPo^MW!If%gYX@&^ID6I`{ru~$%S}a19O6eL zr(Z2uvHd*XZ)SW>q%k6W)?m%#W^sf2;pLx2rV@zba^r z(tNnwa{Bb!>pQKW)TnD}2Ey{52Dh8he3w{-!j3?JX{Re>zet&gBO)U;^!2&$pR2M3 zYHfoCmPvy>p}Qa`%kJI%s~s`)=Rwx85Fi2wsm>83 zhk2^R@(ljsDbBN#q?WHe+RIb0?Ej`Mw&%FKlSz_yRgveaYW_Eo&O`!Uj1T?qpRND) zpMP(d0xq{n=5*D#J%WmX&*;{9@$VU*lV=&jYE+^_ zsG2yOsFsiIwjd+K&*nH6-~F=7FJ6O^0QtBCmkdy#>;U$J>(b>8DK6$&9;>Fv%*;%^ z{t&(8ee2#EN>CZXjt_U4(cw}hL#;N~aZxQ(rDQK{CI!OfaGOoYB65+h+gG+e`hdw) zV`hlWtF65}U_%*^3o0#!@?5wJPTbHjOQeQqCJB5kNjZFOwx-AZu4M}Tz26t3(~FrO z=MO&8#^@T$(7P=EXY1F4A{ahBJzdw&8S(7egO7AG-4J$C*#S^aHrSHPmb9GHgY=R@FDXCIPg<>pDe1RO8QF( zq!A+vQ3#se&r(yo_-+a;fA72J6Ux;=UXCUR`;`-$%{L8%-RuJCH zq)b;`TbrO_I7*2HH?;L>ON$I_dpc29LZ980;Qo18t|S@JOa%;9UF3rS&!uzc&Seii z!YaQai|xd!<;!!LVz2?Z9MDw(WXo(R=YNBX2k}+}XL&Xz*U~l9qWLye!R+IOx&_6z zgP4SFsr+wDnQHS@4YR7;?q<<+|2a}9I23cf0R zbplOBkDi2B?hiO;KQrRSo8c(;j@4ngE9e^0-@_fQT8} zmN{>8b8!)NjF4<~byWIiHszy&<-XP38PEu%plvuxVSmLN@(exTd{M^}F5`SA(crn# z((7*z&T|tMV7RbNC-k)9<#$XBI1%H8aK!)2bGWcNPA}T3RrLU^TNG(@q=R?k8r2vbV zYyTj^*-$8&0D9NC~dTY zYfIjSkiMGX0;N3pzM7nd26>$k@0h*Nd;M$A)64N1t*pEGVr-{8QTFmte1Ae8 z)8t`*kyyP^iRjSslenf7wS2uc+#uT(i>LpEkJDywo>29kee!yLu*5Go>u8p}(^;1| zZ`uM_Kx-*L<`8nUO}RWA#j}CU*=RnS<534iv=WR(yyBT;h zPg|z~I%lMB-zIw2d?iCIpR54b=C5^6lbh)p8X8Zft^|Oz#01`$SsB#XoQ4Lta@;9L z;m&=^aJe88S@m#+Xcc#o0cuV`Wj`aRFX-?qX{r&Q*!K^kp42@hz z=MwxNbR}r#bR=hCmq8aXE2GXGC~%DKewKdZZPoZ2&gX`}$k|NxTkP`@|GMgQD#Z;4 zkHo>IJT^K-oC`3ds!i$0Tlw-u!Fm70CuN`Q+dRfn*OeO$YXSbrxV@sDUK*i@hiIk} zTLM&tg@pyFJ9jSJf2aEt+_snZI9=V`h;qVXtZ$}It$Tv~7XlKB*+iWe>i33Q z4x_VGcPEo{gupAC2Wao|&8h-dKFV`BA3j{H^;iuVS^|a_1ee%5_Y7WukKjVP+BXi5 zZ5$jzCszURP_kx}=@Prw8WQ?6o2UyfEr_a%bC2pw760AFzh6L~lBHJ+; znjq;a<$r?$lq&3mL3GS&m-!ax5gA-uS$X9mV45Lf)087M5NIfQ!oZ(pa>#NAIAn6- zxJonpluC0yu^(XjyX|g9ss(>vCk-I0@1l{9vtf-CWZ8i|%7P}sUXvf{FySL?R_JTU z<&O)KXId;*C!}+KgcBN!LGO3HxkwT^Ffzi0FO<;DqAYNgiwo?4r{GqyB;0m729^EG zj~^ix0-OdWvnF}*Dzrl3_Ol;*sD6YkTMo|!u}p7&y!8*O_@s`=j;3%2QK*Vx;=txF z^9L6%UJO&nLj{=d{j}b^0?a-q0DN*9GbKuFZ>x<6kt6_*o9P$8wuE*8n-%_qt_Q0^ zed7@&7|j|62E<^ecPFr)=V!($T}kLBEQ=g7h{(-;`&OkYSX4|5t~>%tC=h%oy-aMc z?s0;g$z&l9bvQA19Ve9Frq|f;WE)oL72NbItj2g;}1a-@3xgL@V{i4F7Qcv+1 zKz#UI=u%a-gh#&nqPX#SL|vcL&f(*N@FJ_JNr4nL1A{2QzEA?-1*#5HhQ`Ajqms~n ztU|}yaZEb6+!(4zA`Nw_7hN}!?^gBbgeVO?%g{Y)2KOHkYfQHP4CWTI3pl|BYGe)H~P80 zzW$f*-|;I)qaz~DEo^(Ynehk7Fu`lUuz!9t{HqXJOX-NoG`I)nX=}AAWw9CwX84x; zGt$ghgAs)m@+9IO%V)zf498h9w}<2zRJf@q_BFL)l=SXjzX_ld7R6Qc+Spxi!WHr~ zs>)Fxm?LF=F8*Yp#+J&_=)-;lJOhm(H{BF46_hP-%k`qI;MD(7`6fV8gm7 z^3Zqo_2-vtIE)#GqgfmCb=%BRr{wd$O(FDcqP3~UZE3Fq9C`B=aFw*C2a%M6L`4bg zyO_Z*ux?t2Z6OQD88?8A{f@)*MUetn7X<5TYU06%2b70!J_`Y94N6xJk32Z#hK7cS z_W=up2z%w_0>DGwfB0Yu-UfUz`#9ePh3a7V+_`(^ydv6jsY+sgr zJDFLpqLwTol_GT5aD!%PRyT_Q&H-GbhH|_< zPTuZEA0VOuohYpDDfCrY zoZ?~YCivmU1yL~{yGfYY*SWF+;rI=2}m%$)bls@vC?wh zCNoaNM@}v-^dZxH2J}|&)sX`a23S@W{4YM|&fF|&HZOk%V9_?iGkAjZ*DV0C(?vSN0 zT?hC)A{Ou9hfn6V`;=*asIQ+sVS^+C1M-YA|Gh4TVclq&Tf5ni(X|FS_pWu0I6kI(Bw;C{6esT zN%`v%fD;rQ578%{%b)sM<7NLWdOM0RwGzj`+Wu?)RQ8iRNMOHv|JLM}FIW6LaKfDJ z6S{*2@)SwCf7+~^E?4w}3|?R~G+=WbprBd9DCA$_=&}&+3{m?7M^-@V?%U_ygAk7i zFcl=HLd9zo1@AC()p);$eAjL9Rm#p%D%AYyY8up9uki_b-P89Mo;CIFAS6mCa?au@ z$K^lv)|I0W7m^DFS{4pPAu%NdY*{p5ZonU~#kkI*iP%vl@J#|~>Hw9XX#};JF8?gU z12`%3CHLJ`Jz>niZTHo#{sh7BAVG9c7rh+rrRtPfXDLzt;TwtF7S7HU1)uoDvNJOb z5>4fcuc5d+(Bbyw3v#bwH{9aIcCl-67|L*C(M+|fa)??$voejrzwWJ?o5792UcO2d z$pp(izX``FyvYNu5~2a1h3xrCxVpQaOQHTU^Bu@1u&Neqh52|xDvm}Y*J8@3yF+0r zL^QAc!B379dHM0;qewoFp{(i)=BI z^O`#61HhUXEScdZKuypil#loUcmXyVz0=OT=kB5HhMb|TRVp3V6irV za+mZ){*}9HL-`lk(fCrCS03f&Vdd2p`6+bxcjuWRmB5N2w3&UK`;}%mhjntS+cKC% zRpX~0oP3#_vFfs;UR%G5&@(Cr+8k!_sLP4XCWC<#C-0Qfl7113R*6^B4H2qY$m zIKtc6-7T>dNTZyK5*YrBv!L$+HDU`C8E5=AAX$hxgzADQ13?zmOwkWR$Cl^2hfjs5 ziIFrC62H3M2e%Dmtoe(j8{tFy3;m+j8BS+Vzu-q@Ra7GXRJ)2^Xq=qvCl@4k;R1y( z0zeSdY&`JL8UJZPrkfR<+vudS41f%RsGoC5-OQ5@!A}wn?^_ zujVG)iqYE={`q!Cl`R`3e&++x-ZgBM-uA!84k4F&CB8pv4rEK zaFaDnh3W1SY*^R6D;J}*5}T*~ttAJ7<>Xs1&#%yt;05dnF@i|*Bti!zcgEBK%xbfp zafthYuXw+?1?7 zv#OYZb_)T(2YFDQ;cOt`4Nc7i<+|MXN?36qqAiQAh!_C>4P+J!ab{PFTaw{{jOm|5 zfBAW42gNzp_tD&#Zqsd+Ggy>-wLy89{Hqw2>8=$f^a~rtjfT0Io|tR26iLiIdKT}C z#=PRj?x2E7701ud9q~9vw*%a#8rWuHzvL#DSVHc`{j$6dkSm=IRiwOyBeqpJZ=eZE z>Y^*WK=Nb)UX7si-ql@ZGQt7@yYkwLJ(daFX8idW?|O#0xj9{kZ}8M_-Q(7OPuMSc zDh_NJtbrt)l;NINAu7q--RUmExDaT0s96tQ1#Y{7nm9F^!2JrX9w_5uR$$PmBeQ1%+@hsgP!$` z+gC0K>jL2bV2>;|lqW#iW>4ykc=1WlW`Jwgz=EG@dWwgD%U71O>gBrJ5Z{o3iVXV) z)Bzxgpbp^Bk?^L}qV&0`u!5}CN?4Z&18o*=EC=h^9L>Tqj_O<%F(>N0&#bJVFa2W@-rQ~9 zyd}BZ)OIuSc}xn&qwBN)jbLG$X4bRcy(5PD3l(hceO_6u0S^dDr~u&CAQt&bFoH}1 z>KFp(1_xPt7%F5nIm3)dK3b=05&+}VtFW5d8FdI9x9^1Pulz8yr^bv5iSS<=DWv6M z+9gA8Ma{a^?(C-yH-;WFC3KrWv=R~~T@OjhATj}Zs!SB?sM~GxzM-e@c{`Kqic}$c zL&al2h}zpoX(X1{SUcM6XHMw;g`@-B5-cH}4LM;mNX0=aAv3HH04eP6PqhshMBceq zbcnvpe{8n9Drnk*Z#Vk!&hj^_3MU)!)+m%(Mq0ROjG*&y_A=SmrESc7gg^=0V?Os~ zT`euGrYT2=)PnlnV#0?g?qq~v&R_-HN8V#LLHz}~+Fyx->C#wE+IMZq%GnO*#snsI9 z>6}%NPeGIb^|!DuxM>Qy^a+O~paud&$N)1*N`n$mBqADl&L!!18ye>gm_U6hyaxy! z58w}^I%eOUf@UyBs0*1PQSf8LvhPX4y_xV?4X0Ww_q3`QMlv3Q8_VyCyf%L$*h9>H zxoJMje`0k8_8O8BzuLHR>OOT%0X>EMjp@c+z4?FKr{$_SmJm5DfyGVuA%q1kal@UQet+U&YLI@l(|wXZxOM&hR&hTP`*EkjazlCyC3p!1da?Aohl2$Lg) zoQEgmvlX=3^H4TG0R}k{JQc`h$`>>a+l4?Q9nvcqinLE;dC|@IdUls1QukB0^2aMK zkb_1@sMnBTweuW#@N4J|Qwo1bA5_}QU#D$<|M1&E{b!)}-q)nDhB}J0whi2Go8z9) ziSG0yT}5)ASHL~FxOI?QITT=;I@1Y}^hsNq>+MV#s=o7Llg*G#%QPMK04g z_?+n8u6Q*)!}n1?Sl6TQ8LQ2igWD2Xqm}V2O|RD0#ddJbhhYO)9&{~wd1V6EGLjr# zRIt3sVl}Yzf_Kf3itu(*yzDVfm^l`eti(bV*_u{3j=`u02+X^}hRI_twPvUqI5rc2d|rQ!PpW@R zh6m#%(X9x%AFKWsMfzZI{@S0+9Y;B{# zA3w~-s+(5TNugz<`hz`dRIgPgcq?6xQ<>6{haQHJBhz4Khg(bM|~}0qmo3 zdmW-n&h(OV)at^b)y_)GaVokTRT&1lu5@~FSlNN6t%e6m89BvXvv!zJYI@_ov>a~s zYHm%Ehbfyj8`bEAF`IW=vStYx1PX_kGDY|J?qOqBHN=*S&M-X_C_U#X0Qx~!u1mJ9 z+B0zWf?-bs9|H0Wxmd6e*I-HVN=wQ9<+;z`?hhLPh6VKloDDFwAiJvw4HWTIfg1we zC0_&iMLtY2+{X2<1&DZRuF2ebU@T&V{CRz1gzqUN<#JF9+0&_s{k;whZW@wr-Ch!x z_o=u=ioak6 zx8A9nHD#6?@i#&G3OPa&+jOve29xXpXG!Rq5K|A_DNum`Ffbv2fmglD>*Hpqat#=n zkehD1i|Fl3Y(v^CXkbW4qxJBpbi4NxDsEXPe^jMsDxr z3W%clQDGZWB2fktLMRQk+mji+7}D_jv&mm=uIJX8?D%nJg^y`D2Z)Drz9%8_1^%<> zs&8SAqn@er@uz}i;FhSy$)#&~w$d}bBwL?W43y>-SR-ezB*fkxnzX72-;mL>c=@+n zj5egzR3n+=Y;K1c|A1xbt5*adJVC6>;#JybD^OISyFeFj`s;4~KN9;1) z46}^0%@zW08tU^&S16-aw!Np^YY~UT$S4Nzuy(%mx!=%Tp+vR7XGCTv-hccE_*k~e zQi;q-G_$Zc(7BsV73ERl8s!+nJyP&*eZeTrAX*_^wF%~lXGC|6<;OHm5I ztaD+N2sOe#V*7*JD4p4{3$ik)1{kGzOl_KlX-p9R@WW)@tn&e6=_tZ{J+7o@YWZNQ zXx6(Y^0S@?>kf!Jo?5=9MSQo2CW~43GpbBu9i0>|(x@JZhpH@6X{u~cR6#$5;2Uxm zDk?PV8o91sMMi>Pst5E}NXj5_{Zcg78$_G0YyXtpM)c9 zH(X92)nB*O?|)L!Zw};fE5q+#5y|F2NX4x#RKNnV0XA~@gMejl}yIbQ#8v6U)3)IU>i5DcV0krw^iJ(^7$hTZ35@LxOs5}7yHIWR> zasr}1yrz7!$@Z4byDgv2HuO;a?aF*T_^5q5+g1)kL3H1B(~6HeNY~mK&<1 z3pw;vJ7sfMPYB<0{{bBv5QfVOO-dxDE9c?iQ8Jp6oQ$*<0F*y#+-&m*7hQL%OJL>{0Pf-{x3WY2#SpwS~(Fs`^0VDtolFj;FzT`0{7}z{@Yc1xYF-Q~` zq(>cfef`2eD;#+PHU~$!fejh>0YJ!Xu0O|d)38X@ya4S{LB^fB8$(s?0A?y^y-8BY6S`k2gH~1^CSqZ_U-l}Sh zXaf{sH43+MNBw z$4-MNbf>Y)61knGO2Lj#94F zQF55vz-(V)XL&3K^Vw9q&`cfYp<92{IAYTcB=P6&bmNl!RpA-N%SL~*q361mDELu{ zEZ(JLw){H!U=}TcPO%t>l=%x>4Afn+Mx~~Rb~Bhjolc#7lsluTmdb50Akt$m;Faz> z^mGixa$sRCKj4;a{>7Fpbf9-ArtL=cCR4bZt3kB^MSy2CXsKM^qU87?3-?d32Zk+py0+X=9#b8meHZfpR&=fQ#Zx&fRypmL@Dr+$Mwu45e?3eZBJ z*Y1jRoV?KCrfLP7#W`6=M`yR@!rxK5o5&6V)w|%$o9@~PXtyRG^qqiOz#-W=Ab?(b z0Rjr3Wi{i9wG#7>RyuT=$KDEoS))Ir+PZKh8@KMkb!GZ?8 zSlA6Y&Y&Cq`SS?OgjNu_s3LP9ri~1cz(+tnA4DOWR(B(bDbQ??Tp`n%b%_1C_?}E; zRxPl}beEind^i(l4lQzUpF=Fl&^;Lx7~H{b5!RFoJ#!Jxm!w4$Bk>uX{WQ{;=bXEz zFD7+i$ta=~f>RadWtZXtWLx5vU*wj$q3bQIsZiRxa@DfA+&{5+k+@r+914>}hxY{= zUEaTuAUg}Kn)a)c5=U-XLa99K6L28j-JQuBGNQUJm_`gT{67&7@M8%Lcv2P)Qq}Sy zlfoowc8~L=?=o0+fG&)Tz5UmsF@k6aBjg6!8h`QCg)ALdIZ&>E#iOJ^)HgSuA>Wlg zqk$i+cak_)GZcXl5PNfXd@Q-z((`b0O@Z67^?@Kpe~ zqs7I=M!Q7=HhfOga@tzxcrFZ%tlzsb(3JVc~8Hg=RMK$31z^SrW^-nM_pkGd@U&(;LRh9S zw@lY`68QU{tpcHw1Ji+&4-Cq|<|%ypR^#41Tu`*ZBL{^+w{r`mCtwef8X3|3K5L9&D}qiqWFp#>!+ zm&V0CmVe^Z8%@3yi~tw_!%Q$h_^fq`dM(w~)^;;ON2-5y`Qzi!4G9>G4}#ZMcF; z4|B=tdV0gW>)deqii)nSx;U#vspYoy5pTuxXRA0#c%SrE2D<(`YvlpWI)eHgbU0<9WRV2-GDHXYWmF!q~dD< zU1Q+!w)0azB!%hACPR<$8wHOa=teLIFzgznn(q@J45VQctL~( z_8)*!B(?%>16a(zHuqtKKKjYwj%jBMJu+$wNslNKJ`Vf~!_kzGRokIVD(ZelQSApd zBPM3-P8@E#r6LyiGzrfLPm(f`X?Vw#)2yCl3x0*ZMoiAx050>0kIZ1%V|#$WDHLBt zYqm`BJ!{S;e8_Io==_jA+~|GA&K*7eSqscmXb?lSYs?8Ne|Yg(g6iIu%X5wcr1c8U z4OB#`EGIajct7Wcl=_HzEd*q~LkPx=#ac>%MOK#T;5n%vUrV1lgpqCfU4f8PQS!9a1ut8J>GKF)t5VNA9aRMEv z{p%~0O@_NXtzsZ!zzo|l4e`fxC-QE0e$gO{UC*2XA=z)tu0>2>ByVtfGaAw^Fa!mGTL3d-Xwx%Yo+k)@$ z$aRj0XTUdMWZpdaw4INg3qc2edILHce28}^{Uw2ymx5|G=05sZk+NvDdY<730={j5 zq!K@Qn{BFy&IIb#d*47F(6Hl^jyx;?hJMbV5I6;Iw8ww3)B;?Cn~z8EQK?Wb$mLHU zIsFSBqd^&agZ4t7$UNP;CxlLqs-s2bAPXd7$V%`eX+XklU2nZ1F%>Z3KUIewP?-C zbb}lfdo8db#YEvsEMGLvO4Y>7-b@f|v)E0@xS(JTa1Rrf8IzK^#2Wc;&5lWEnv2&`|(= zLaG(UDj@6+Cf*yz$JmO z*!p&tJX!$>)}IUBa6j|%ai8!EF;iV{%!A1Guk)$>u-HHCJ{o1kcFsV?T(<8*#AmBk zk@*Zfc?~k+GwX=E0>f!2Z+m-0Dh2xn=s*98I>$>c#!u{KIJaDMK`Da$mtPaJZy%3L zfdYF%0ujI)0r11+L+lbsuS1mK9eN8S3gD=ah=Q?Tm{BeBST!1ypa{pmX+K7Y(rxs+ z1@rTuiNe5!;}1RSH#;e}*u0lrMYYpz*bWs#5;8ECBlYHE+UpR)9UYjw05f4Qur9Li zI$PS)S=o5}81U86Qsc>05O1+cEb7L_v1R6+J2iJe5QGQEkj8cjTFfvIOJtG4MDWjs zCt}6$*a}Ga@~<@X>2&}AYko$6JPYFNtr(b_2nh+PvwzPF%IP{xyCRkdDgb;iI*9s8 zntABTfK3AP<%K*&$b1_--2(z$Y7ZeOpr$vg{uotw85cwWK*=ELF#SO+$?pXk;9fxj z6pDOHU#1x1xk4Nf(nV5Nt~~p}DH%Q{J?od7ff?Zy$%knP-Mb{-?9IVJ%v_yNnhH%^ z(76k#vy_0f0R+Q4$!x_F@N?}m^T!5JqCE)pmg9OCV1XgKM`o{Nk>{{97k|5Uoae_Y z$%c*SG=pO3h;IkaK^)*?-ns_6xRotZWMIH8u?!)B)~h9TxoD$`;5cxw!2+y1JvoGR zLFQn2s%PURI{BU)xUT#E31au}y`^4YD!cO&(iI?W;LB^2!tgU3cNCeK7x-rq`?D1M zyih+>-TLGlrePbyEj;gS$m^31f-f`VEoRpL854p~)4}!<4hk8Lg@<1dMZeA$`vaJm z6yVGD(oi1gPDh5h`{50$-9p98(o4gCcQWE%!&4ee2Me`xaR^XRmxV~+$rXq@0Hy2Y zBmEY>d|dc=^DlgOkO}EB?u2e|`rZx28=$IA4wg*Ibk|<-J|TiDs-QIqlw0q=QR#QU z%(k_?3Z|zcM9(AUfV)FRNn|>ORjPmT6~u(hp}!W+Av60{pPvU8J*X@PA)*}V)A3!+ zqb$UzTmF0;^M&w01<36J+nv4n@H#C(T4d@RDktXK8!)FqqJbbT>@G;>BQs_3(&)R; z%>Z)<`+?V0ty5kqjT^{qqCrICwvo_#G#leN`<oVZ9aS#%-v>OG6IIU5IfRx6 zU)d*R3%8mz!{l&)@Cvgz8k9`mv8^h3i;Fj@NkU!5aEJHR0HPc4{&K8l3iotgWEII+ zI1?GeEcR|;?4h{xeCP7!t2nRfwgmfSCA;{|s&Xc$eqf(7U!1nR>kAFAZP#mvlId-? z{8(`!@H-(F4a^Q&CIog7yB)ssT?wQuAWK3t5I;cyPQ-^?TTJMj;3r2YF^HvAr}i4c zCXgr8`Jf6^allCG6i{B z16(|zK--I3KA_V9{feqH8%3Tu10aV)G*9hC{#+vkN^a%;&5dpSa*Nw)Z)QQghMamC z7$2Y&{(_B2^Zh66`~ll)_RrnJbAyQO4$0UbCC2@^VlK+a6g@JHUT6tY0MslDLypkG z=A|cW(Q+6OH4rf1sR_?IIy#JkKf=eZ8efq0d6X2^#&z#FBtvynEJ#wRqZAl47G`*yxtJIl*1F~TzZ&Nh3D^Vh3o$f121CRd`%j)>$DVR(Ub$S`X_J z=bygraaGH?7##{X&Y-KYqT+srWU2Vg|0>n)tq&A^EyCFc+n=25C=_;_SOR>Qkbz%eD^arQT0NQL=E<1WY6kijWmwD z#2eB(_h)nD4?G(I9EO=^{1>PCfQX%7sVD13fgkhS^jw@04ej5o{Tl>Douf~SI z%p2`jM1%Nf{PQs=!JtI0ZXW0t-5*&0$ZMf^GQj8ZTNQaO(Uaml$Y+5aX#x*^FdK#% z{j8U#R&~2wyfq^VDI@o`s8a9Dxr2oUh8wtY)Ph#TKmtM2H@Qwr9xhi3?c5hsWnf2& zaK&IX$)(}BaYDBSB@-) z)bwj@bm*?~V2bMRYJRGxJ^o{sOjnIf#FBQq&D6yiF7e#pN_aWH7|R)MNZF-=iSShw zdB6q9+|^yY1t%Yk;VX05>IF6T-@^2T&RkyCoRjP0Me*)Tg<|2JAMpeN&W_z)#w>N% zY?hQM%M`qL&y;I&@d0u;s~fPv1bd!gqJa<)=}?Ee&Gy(netdEIC0J-KE`rcqk>^hU z1^74I5oSC7<45v0PAuJ1I~D7Yz^lboGDr5-{ml?d1n*xkWLXyw5Ilt99Y;7bh<1U& z=PxmQm?`815OlxTVAyteQeDbL3;G!1(}V3R*_kO_xBojGYJhZOuW`8^JZufRO%O;& zs;PW9z_XydH)nSm>g$j2dbEJE5LW>`hgiqRixo%^Tptj{7yc*v($T@DYLpG|=(g#y zP6n}Q?>vR*7QiT41Ldu zB9#wn)*>85wuDEPOB5~-UG|@mC#5i2SWbYIFfjxXC5BkV*_)PPy-JSpfs=1uMrSB( z>Gru}W}~>P>EiJ@xdy&1ZOg=A2}Ec~i5$SW%;B!3)1bm~d`X1_Nz}lHm$nLXUX+Py zlFla-nOBRLBc+`S1X1hyUnLgZnC4RrKFYB^br!mPkWzfPh`Et*ZYBD?WOnE0{GlcJ z>Q~(Vho|!Z$NF#I|7|p66qS|jF0yIZo2;@T6e%Mr4Yv_OM1<^>Y}$j+l2u7oiN;r= zfg8yvQnLT&yXSZOkE7!`p6B_tzW4q4yx-S#Ug!C`9FybXdN{XUMWciY1~NB=0v}`; zCR^a3x!?@Yi;QdR@8dT@8sov6NBDrEE(M=8-#%513L76LYVydn!?DsOmUrGdBSoZ2 zV%9ggl1T#FLmMh2KzqGme`NbXf(o9Y-FB#04ur{#BTMpi^W~DCnw3KX1J!cdMrvC= z?^!$}xsKmP)fq>?BKUiMW~&8)WnRM(_a3UTSapbqn}_)yk59p^ctB8K{ku}^D`^`k zWIFEA$>8&hizAvO*2c%jt6xuVn?`B`S%UNOH)feaw#PTP1h(EW5`)=TXI#4A8k?oR z_n%Dm4ciH~W<&dSG%J9d$Rdg0Q@*ggJn?CXQ7du2K&dX4a&^0yymRTJh{8)2^9Nz# ztjp+mQj(G+A$IJT?2besSv7@Z1yZPkinLW(8Fd&FKxV%05sE{hTQs#(u10()Ip-lY zPPaTeMnH?Y(rSe&r7zIoB7$?>L3 zTRY@5xL7%9OTG4ikw8U2>_cwJw#pI|*iE&J93B-(KIa{e(7%>Nt`fb)NLv#1PDM%#d(kSOZyxfgapa3Hx92(pV zKalys4F1^-iMULf4^xyXX?7&9jEre+JN)LdK%>r|V5;&(-t)$|vi9R{%DKupHK(r) zJC7>g9;Wb|Yk>1KHScz)4X*rtbp-9->wS6`jj04DG@w~0zMv&EdJsnIRV2N{Q0&+Pr}7Klwk!LAeN!!)iup-&p?+EWp2TRFdA9O>A{<& zBhr2=;P>17#dV1qlg9botv}}ek3O`gE+O0e8iu`?Yhli(bXQl{6(&5x+l@M^Z?+S7 z5TGF9LfR;Q5l)TydsY=zx&hknkrRoSmg0#_+yxOTAV+`MtB$7!PU;kGs?U-9=^Qk8 zS)%HeFy%cv=80jD+Th{u9BF_~4q1#P;%ON0A}E4_=O-EowFp&nJJOb(Tcxygpsf?b zYkSff5%qoa6S)JFV_YKFFTaB62q3QJm$8lgF2cS-euABhC0(mUIfkAfhKh&wCjMS{ekxVl^tM$KEMmrxoL3@I-6NJxKG$8>dd&BNw( z3cq~vLV~_cdns7)AwL_TO5KS338fjFxj!R=JFV6c+vT-fe|~&{69_2W9Q+yVVu!f~ ziHxAdU<_+nFq_+X#rhvY5zwf(U&CX2TOCp+CqJu<-FpjM1Tk2Zy@aIQQDo>+I}%UE zm6#f#1Z#v)(?AO>sfH>z@$qQsK_CtSAVC{$R;|xji3_jLZfJeTRaGv?XfHsb>3H`p zk|4ndf~$7wioBq=`Vl!rw2EFI?lM58+S7@KlG< zBcM-^uW&%!iV*}*dM;%b*R&f4h(>dbC6-86<{8sd zeQpyr-6P`*CNNe{s0wgQ9E=dKqcY+!a`={}uGHeN-$qVSeb|j5&XJp%;~>MG9=1t8 z;mPQvZi{-cYf_S78&ZIBE$fDJjQ^%Mn>|*2@3|G!y48>jkri?y?i60OSnJ(E!n46z z$h+AH_xC!Y;3c*n%6;QWkZ}vEs|C>4pz#2Xl*pS1D*wc@ z#AwOtgmftol8y5-zi?PI(Dp_TcJ+$wQ%Ox613?7tN0#tKW72tp?y>HZ*AT|mpl}-9 zw-B+jNvSGh)YSbB;1grJxM$7p|MtO}Nd8!2fl!vW4jnzIa`$BKv+9jmGlS}t7e4o% zB!I2J(zusIFH?SxmO0M4z?fR3=JD7eEw_ZtrwGz?@Vhx^Z4I#NokZToWqSNmAFF;J zYM3XaAV#H5|5SVD&arl zHXfmFr_Wv8x5&Lu?%Wn$Ha&Wgc?jwz)KdRb=*6Do{xR&bqdsXmE~(14UuXk@^(NeR z=tp-bGfh66=sJ5rCZPRd|AY$EI#`td8I=oEN{S?Jh6Snm=0#HZnFNVz^I#IQoP(RF z2WN~jjYSx}6PKw=@%-MTq#e&PWOQ2Eq`P7^WpcimY2uLSnvwXz_U80%?y_$er-E9F zs0&Sj`+V=Umn2Cj6Bq5&dy?v ztS(59gg)g8Md2$5QHG#d0Q`bu?B>mzgj+Y{r+cjD5hqTqz5AbDhP-mmRGS+o8<}%c z+Pk`9AQzoCe=q}WCE-ZV_Uv6f8i#_om zJeY16z$_%QU6elbmAa5yNCOF7bOLu)JqAN4dQ=-*C4w1r@b|$R^Zbz@hf(Pe+thhG zbkPVyQi2A1@$2!}OntX`>$z2B2?VJwj*T4ThU8@Od~cm$h#>k%QL(vYAtxKjGc(w$MBWl4hZLmgrZ2^%@B( z1FqYt$8Dh4owALHg%~3G0aqdUWdwhXta$s|4|@Jq3xGa9hwG>4V=44xs1yuS!F%>s z`OD&Eip*6%5r_p+n6xOa} zj{K%~_Ux!Y(L9w>bRl8U;+Zv^i|F|rOz_~sF`YgJ3y?ux$|zl|bG@d~*+`k2%}$<8 ze$>n+hG;Y47_ZF4QGW4>SlTT#7fq#%L0T&!m*0e+-4xiibcvV>heU3oECT4#c;I9 zifFWLhpyq?zM(aRsEN9fO>-lHKjaahKMKMKYt5bEi>TV|ANw9|d)0(%3{mGzgN#9E zh$9GMGy3ib&G!uCN*(=F#e-G|h2LLf3xi|@FKM2B@b`~KzNFC*Ze0=&g7uv8jpg#| z#nZ~TBuUo=b&o=Ug&EVxxS`Ek+`*J4L=<%Dw1iAJgyG6T6$L*8;=SK|A6I{>IrQ>k zvN-oguLlgv6u@wun4Z8qfW+@nY#;H;+PTBm;PSLC<}n@z6~!|!NhN88M!*%X?p*|G zkPkVLrvwy>-*)atoiG`N!SiNw<)IOAv0%pj7X#{(XbRu^P+i=AW!B9v<8kus@RmQF z>VSCw=2b$Zq6^GlLf(-PE(e^zQ>vwShGq6WV6)I(xM%N=2l>__wEvXt;vkeu&IDP_=YX%D5T$HD0wHJmhm^jV~AHnPa06^vI zqY6=cH-0(?3|=?@$@@SNGbUeKXRW z`|foa1@&k%f4L5=%|>x0qN+E`1rJldH-8d5tjU$&X19UmY`NJ5Q-1e{+#w1DN9EN= zJx6^*Ozw(t?u7Zk+Dz4Qe`sz~xZ#xu`g5^DbN|K;pQ&JxHDT}zqp*Q|Lz3mN9iSgj z{O_MnMnr9U%axsUwwK(Bd{>nr3L{o|0g_pn7s&Xqm{_q$qo~vFtKE7jujCZfdJP&H z1ma`X9Gwr<#l30iP z(oT|*V@Qi(hN-8bq86Djh)q69Y=?94cfzCxz8F2Lb$AlekA^4gc5;&aSOKIW9||s* zFbvTVZrt8=C1!@!C}~8yODz6SpL7xfY%z90(~f!>!ncK=mugNP;c1fCxK{2lHlN#B zKu{b9W*aYz{{8vz6+%z&SggQ}e;0`!^7@6}OCid+G1F)O0@? zyxHvFaz3rr<81e-DXIDMQT&hW5if~aeztdgfqPf z{t>F}8{IF)9+?Hr0}(*G!p@CJDIQsTEvPC~@!7%r0#E5VoaIHxr{UzF*c7q0zkQ78 zK-`-xE#ji0hQ+D^ZbHbfu4Pq`S)TksWQA5s--`66W<8$tyUEf~rYlTxM6IF>q$`=k zShkdh8P07C-+0=qTtSRgiFUDSv>I)c-Wt(U%;yThFy=3WK+~wbTZtN3JZ+FiWOBsp%^Ch$1LQe7WhHv<=my5J{9_XbTksK%Py}MgjtFVGa>E3mI?b7rlrJ&h9D6l zgDmzm4?})d4;RH6K#vrU_o!SD(%dVv0be)9f%(7GtuaA1rs54<4ObYc_#txt2yMiU z30#}!zpyw6>`u$$C?-9{hcZ_v_lmfRCpPMDht_X3aDZL;-P4Rvj2J%RY3=m5%IYLP zbLvh}k>32m#7r>g089mWrzZ!-IN^wRwtm3BYEEPOg4r1(gnz`J7u3?q!tySZEPl2h zRF_-$;-*wsR%UhH4uESItE^b;Ye(veSKYXMb7ej|gxmuD=7E-W$P^moY( zVp7Y*dEx{zWTV@yje|jVE(#x2Nm-`Gm12CkSuU5_Ayu^}-*L}WsiWK`ZHcPmnlA z3|rlK_*hQ)hPZp5XEsn}bM`OlP{Z>(aE=<>>>dcG(R1lQ?Ww)3XKxotLQ{HnXJgen z&zI$Qxnm64J32&5DgY3K0*p~Nl6u6^H4y+$3p;GwmsYHqI`cST^tsCb0*XQ3Su&@D7p2lR8_=kIk*8<)c6Uu5YA$6i|VLLf~23`#_ z289lhf#&MgvQk{E1j=aS_yeb6ay(ajR*yJ#_go)Se_dM(id8rdHu2|aGq)ppnxdCSaY0 zZKbdtm?qpv#)N(cCTLyuUHw;<647u&)Ws1XCZLHwp}1K58goTWjZ>PWFnd}B07C63 z6rr_2vY*fba_{C*L)Sg)46Ex%=D?Urb37r#xBT1i*1x2jBlXo>%`5U?@v<$q;_xs3 z1;G8_c{>Cyws^ELxBpU?_i%_`N4%&w_6c(VJpxQ}*G&6srau!miVs}N=&|}yNWQSO zb2>9qT^91VV)Di)M-OL6Nmu}ZG1HBY{RU5sjl5e(c(%sb-m*QmKCAi?pHW8p9F?1nk zXL;C0kHgKK=>|Id8wPYbey22SqlLHM7gNsAkek`o7P{2oecda`)N0_U*ic4uAJ15J z2|J6;lv?X?)ymsxlh2{K5eXGuE)va$LX24;YEWe5xOD$e_glTlp4TdzL@CJ2hxn!A zYYfHkC}DDS`SN8aLyBRPWDqnpmfsL8NE=FO-=&^WB= zMRy!D=CygLMiq{Cj1I9gKw>)u(guSR&rkj6n|Fn#~)>1Gxi?8 zB&!ZE`65f6AeR>5C0egxuDp8PW!cQM9)jX10L);&@qxHDlcCF~bycy4iZSHs2txcIz%y@?f(+##e zOeK{T&d(;bHX;4NU@q4!-g_>|Ow8oAc=UQfvsx{iTFDj9QhiJ~LNjv@`$l9nyBW+# zE_?eno_FA4$Ni+-0AHCdcZs-@lYhy#wARG(HH5Xc0A>xsy z(FRV@YrkPuO5a&lIhC6VzFE+eW0n&6w@D3Md>5XU(Y*9#Y4}8*<1@a*#)hLi&b)=6 zA`xw%^Z8IFcbIs@)M>a>#I9=sft!%YF6bN@zuCg;Zup05t2DHQ_6cwp)qP2|bMjjc zf7s1lK}#XY*XzDzNzZ-1{?NOBM{>wFTIKS0-f4fabw&G8c)}VeH9f~q)jb~JScW_^ z9?^e`n*RLpC#w}ug&Xyh;EPZ9Yf+Hk2OHM_BY~ayT7qO*#>s~Dc61G3^QQZgjf9?J zm6`|HqqH=izZ5}e{~!VNG5taVLL7}`Gz^H(BP?2&z$z#ogT4N9`u;PiFcV&h_}{Dv zN*S@2p>Z&{E9WlNd?kqL(lii4ebyeY=`PtUwqErDygZVpin$(p@uUf)$+2$tt@bkF zOYcu^(qpvW%D=wLl!(>-%~_5pk@Qx_Si#hbfTE)`)`UnYr{!9|J7)C{C2>=2u$f`9 z{HGCz*kitwPy2oI%1>ViHGU*M5%tHYQH=g8*{8%a7>5IRjVnE9nMOFIw7hn!QfvPB zF0RWl7fYW1*s&{B#*~w`Lf4_XNQuuOCneVom$x|-AM|f+%&N+91qXBCa zZtHj8+~E@K%^+ny3AC!K6RUY#gU!ZEGp6jDx4gy_@50Nq*NeDjqo4w#)9CQCQ| zyR#348?nH0G(YleYdVA{q3A*>Rv`H@kKCC`&MQ9g&>7p}hy~g#Q?3C$*Hx)~ZH)+6 z-o^d}tDsIExNtDPQt1oQk3sWM?%w*dMY@y{_BTbOYTaH8OR!9Y+}s>RSsnABZ+|0kg=mT<(Z@6a9|2y5gu0}Rt`;o zA9a2%HyF?i*&mr-}jc`i&_m28hqMurlqtCmTG>(_GMJK-Q%>`sk^cO*S&0G^YIE}I!^{O*J?wO)mt2*!2+R3t`q=Z0v@Ez#98>zAz|G&K=7Q(fD$pQO< zdjC(-=&#w4(nf3uQ~YM#w>BMv4pyjox)_>alasbrW97G^I2%T8Qml>=QS_yE*U2gOuIbx&wOxy}!+8SVcb%oM zDA0GLbS7`fXo@#1p{j8UMli2Zb&hR2N6Rt3D=I3HYixMxv!cFeT!+1{(|;Y?vx{^+3uz27e3Uq7`Xt4#1Tj#a-Jg~J|W{CMA6R`U13%`Z6}ue1b1@*{|`Ju)Wz}qQJ??H zB8M7#3*|e9$^@9&Q?=js^k`h33;llM8Y;C|c=}z9r`6w7em%=N`S?uYdgtJYWiaGV zZXY^uF_nS)t~uwo4KHD={I~gJ!V#WX=mWN|M}7yP9Mn>`wY1YZYf#W1FB66y&uY~W ztx^Hv0U@iP{37Zds7=Ta**=Ss8Mi#}(9wLQ0C%!+q^JZpix5>LIY}gQWs0Tl+2~P$ z7JtrWRfl`pQt!nXATl7vKEVE=EmS5>+;?=;dK;xkTzKFOY7^1RO`>BnEuH193&zZa zGExqI0ZJ0wC+By0pj=_2_$l$U*NJV}IkvR@S);yU;W3}(=|#np8kNu-j`){!RdCV^13e!1tmZ76@^*>15ZrU~$6FHgXjTm_iZFE?z#=r< z{xH+Rb^_&CA0jb62W%!VIJwaL@+4k-zfb|w*~bjxJn#OQl6OQvV>GD#5uFNm713{W z5{o7CDN6Q}$9_!Dl^uC6MV90l-T#rymVSEtOPw%k>Vx?sCH7@~*DGE^z(&OPCq}M> z@TvM5C$1x{d1K9S={j?w65z^$_>gd9=QSw}Z4ONcO?V<7Df7T2R1;e3vSWK`_2er2 zCV&V;U<@{We&lq`XU>6H*Nab|L1BE?gQZ_&zh`K5bfKRA6U&)&xPI$h-siqtJd{&@I%q@wNoZ{$=v z`tNSeGO`)u#`Nc?l)9PJh8Y##5YL^y>~u>Xu4K#}G2MfL)C9--4X@-~+?37osAebq zCnwyDHuxQ*N~Gs>ZOkw3VYlKgz0PLAQIlEGN)-3=`&Ua9rnRm$@h!I2<$pMOwfNVS zqtbCPlf1u!Gy#?cI=M-zm3td{pn$}r0R9*QgGKI|#`1GkEz2wHWpI^=y|iCEX?o=< zfZNbbe{p_M_j>BrA7lFP`c@kBfo znY{fCKgURnXCZ(8sjlHo%De@?O?s|~1VClLR13jJoY&7VpC6#H6m}k}fI;HVtdN=m zZ;2}Ha$BN4c_%F~FCw@GyoKw}M#IU2dyXI;a*mPc00FF_$OabxW29Rbzl7zj*~=BN z+!Vf0aI^)>@vMCJ2y@5P>D0K3I0RQr#xPj{i3t z$W`IFM7>}crnbzZHOrVfm1M6!zLBfWI5_!}YI&Swl|bSP#;Hfa7@DdO>Kh|}WjP(U zKW|Fw@ABzgMf|$11?K*EPSKz}i>JmJ(wfwcNkpf544v)x{j%+3k#&`qGQVcVr~Q*^ z6xtv0stHd%_v~g4iJ2g`A=Bi$o4&L+_ldIri*4QY<#$byWyjt}RLK2lSe_ zJ}}|>HF$t?YVX^?woBX0Hu4jTDC$PBfMBu)M008_N1kw^AQAxoo+3~lDTJ=A$P20H!yg5Wt5L{r;9+Jvjfzu$i;27n{lD z$Q_Cp-)+ZAE|^i96ty#p&mEuLoYW2AAXbDA`(jQEd^hH6ocO9?T3D&r>}IX93T;AS z^Dh0fX1HKPyWoz39Sv0x88wW`#;MWiMJbwJ@46Z-a_{tK>Tu;x?O~ViF2sNW;X?4H z4IZj}zbV0baPk!!%UbGq)4}hw+O_e{c$Y_IrOsWZsdv3kb5b*IYArWg&cgNPI)5ss;@O~Ga53fbg@Y>>AQiWrSY%XNu3NPl84$$B!FOn5Y&7&;}6dWY&!2@@-452yu4Cg%Q(I4|*I9?N%$ zK{y<1BVw1d|9o&2GhPDjXv=;aCZd{q)N)^-pjEy+=Qi7j{}K&5ED1AXbu=HAc?Fc< z218(VH8R!{8${~aU|}*BgLvJeRreHb(7z4xq2bQ+eLOWK{l9}IAa1N~{F$(Mis2KU zLM7S9o2N1C_3|=6p@S!sFq;J>B^^sUhg6DGd{h_;x= zL&;&b_V(9ldpaJJXB%_-lp8+&Tz<#+XL7_}6Svm3@RVuM%!61~GGtO(DYLiZB0Xf#Cy`-If5(ygMFO^M+QsE2Qtnq$^efp?o(&Hu zHG|85hvuZp?Vz#4^AiCAunT}4jdury1VUkv$a9{(MIy{}iSn=pA9}lj-*=k{bpo|P z;#6rl1GuOMCh5&2V|&#iKjB#S0|pAYvj#gc#EunEL9uiY843OE=2*bIc6*-rH8NSJ zJb~+upry`xv%A$vtb(O%{qc|g;}XxE@7D%F6U3@3mr8+#oAfVL;$^$2<|l=Y1=8MJ z&j}Ng=7L-m=%D`_iH4{dpxptr?=FOvH>Y84NuHpUEx4>i`3)|D7MVIrK`H%}l4 zr`H$3(?XUf5ew4_3UMX(RSIJpw~^-Orzd;Q@x(4=rlsisx%#3Z=L1=FLTD;JGp0l?@0>;UWo;8L8J%b22__WABMblKy7cms>HO^c!4 z8h4B2c0;`wScLgZQRcXzSN>`b&M&+ zhR+qNt$e59j(aY~73yYei49F+^066jKYY7?b)f4?ByDEXn6~pF9!mPkP3nW+_BI7N z-qYTjnI~~D&OjYfJfKhFKRarHXssUwX7QVf_C=}gD$gmC32aUlI;y$xECysTf?JH<+55<+}c}6V-a;S zayU@5fr%!L=L|izs4vJ{F}o%oD3wbZGbRMbS8U0q9|)Y)9yr>uI54t9Y&DDhRM1;? zp7fq(KCAKogMM~qMjS3;t`}aIJWEGx*EPM-?8-G7N9O307H+O#P07rtH?vbhDS~b` z{AptWse+Nz=PBJX`TDY`o7b&++Ivz2nQt->K9^MS8hi|)#Qb}r<2#q|I)1lGPX}3& zWrdx$ciEbMz7Xs^5aoAY9b2@rkck4!jP0|1@FW5M$cncTf)(3})j|flckizI!%9~x zqc;+?5oBw!FM-o1bq_Fvc!wE|?f#dSzc{Trt9}oIB22}F@iSjLNTiz{B&5*2cR;z| z@$n_cKpW6#E;xWN1W;|O#IvHflmT_As%l?wZ_>g5OT9o0w61j^EGT~o-U3)CJB2tX zU`gCUokM#V0Hy1Be<^HP7^sl*U-S~Y;0aj0!l1Z*#VE-LfpSDQ;TC`Crt}Egy-%V} z$>XYvLlprKkF$5D)2RUs9*$^Kx52JYeoY=Ap>Ur|w-jE+tRnsymKavZ-{^jDNy3gH zC@4sP;jnjMPuiMX^lq>d{vF(oRfLoPm<1yvMpL#{?u?66_JucNOHcU4!8-(NEV>MgrO5~(qNR#|C8Vvwzjb?V z83qPcnm)&4qwnCrNA!x0JEb)>HJuBBo3+6-C;52+pi6=b=*H}6(CZb?Of7$P2YBY1 z44V+R3Xwbb-&Pmmox_8)T=oEi=0F%h>vP3Ke!q`p>)cS~;MzF}apRw|j1@qyvv+O^ z&=3OZarNwnmpAG|rawiSq;9&AQ3F;185YmpUw|>I!7(WjahdGnk4-cdO95Wu>~``& zV-tWpEisznCK3M8o1=gT59z)B07aP}Wv>lZ%<9pPpqZs1$ z-b}7iIOJj59OyvxvW(W}7Z+83NIxD^?wK-1Y3UTT`kXmxlgiY7c;~$m$Kw}6G(P5; zE;D)5g0w#*O3hDiVOD53y<>mo{xh`BdeZC*x_1eo^{VcDm%@L-=rO8E-`~V=GV}Rfe|}DZR4zb@8t~$i%+0*0l}SsT*=g} zsS{YJ)pu$UNetdS6Q)*aIkd`G*~l1<`Tc2`fO z&uQ5cve>VPzX^sChcJqKYpz@UD@ z&E%w*BBuZFOF;9Fd!s$8BhR|F+&ES6x@??ommre~Tgzf{XS2VD`;X|wjUD04l3YKG z3q*L>{Vo^#90SJ++wnAn>?)(_N}60do4VW{b|Y#?vPNgzL{0pen~T^htK8_n#C0vW zU%H9LGhYgBqt4jVHeC#kZ&KXxj3Y*6>dXx9zj+(74&;50{WebzN$q|GPlBCr%mJFc zmSFUQjfGa+J>M4eIpn$c1{OLL2THQa+l}Y0ab!^sSSO^*L`lVpJ+`w}J&3iN&|9%A z?i?xr(m!bBTcptyu5Bk^5j-R?H+?=DWpu(pzfmkgGS}P{H#{XMheIdv+XR-lyY@ai z7nn;zFVNEq|AqvEjn1Is>%Huq5C4KWC(d9{)EDpOb)Liy!3lis9G=CHqs zH+kSt(PAU3LG9;4{piWIVO$cJ!E4B2YD+rclXUTHI8^ClI;ttE2w20RDNk2fje~=D z>8$k*j^fcklLrACn{+TK=Q8I<^@iD!m9^0o|FjzhPRu4v1vykMw(IJ-4KB?r5fax@ zWj0Zwb9HEW8IFe}JhnCKT?qbVpm$y-01M@Ceu?f(J|Oz==Cu)*t^C;6NYGxsYUk>W z+Z@Fh;{ISgE@r8Q3Ec6}H3rWImDd}GYL?e|r=F8@xL7D0B`oZ{>8mL)i99|Mi5f_{PtS%2gyz&CPb)Bw43TFKcO2 zXlW?g;MtYFsm^FPBwaIObi*VTTuh?Z;6)K?_?9846oNQ&#M9Kp?A=$Fl8Td)%ucZ{ zXX1)6NI1Fc?B6mMuv{>ZML}668JKbAj5{h=x!S)j>0jr`2k0l1AgsNAK$1dRmb#Wf z%H+qf(Jr55l=r`rAGWSg4U^b;QKY1^EUb1-@@pfZVt6wRd7P+`rct6WjC`I6Csn4_ z{7-#JQ;X?W&z?PF5Uxj;gPe!hkDIl%i;vRQVEHlD54$2$26V#CI@3H*OxDywV*eHU zgygTk(4m; z-`+gFNvhF$ouO|pq@aI-s?&Lma_N;#>uKMXCKc&^!x08bSvKi%T=#b2Zqt6}mvpwa znT1*vYD|S$jpQ0IyT(4?PtPgQW?lF^A-2J_g!}R2wPee*km61GW-wH;ZtLRM5~%J_ zEvCFrt6TM$bmmych;He&^nHh_?$NEQMzbqGu|wX$pfp(7kLvl@Q4YAv`Z52wU)0{6 zpQGBsdv@OwiYcZl9Likz#@nrNUHtCxy%#^Zg_UecH%&PylIhjL$h{y3M-hg+acz-! ziZOUWZ6wBoMFFhAXYzjObH-{{O>4=&f<+V3Md>kXe`H~Bd@ z?|F%!@RRqnwCkvuqX;3DLmbet{nMbZfZcEA?^!HChFS~OMy%bGva))L=!W7B6_*zK zYdf>f!sq3JJu^%nOYjCdk91@n?i%Qp*nlFB%zHBAoIaNRUV?OWWAQ(M6W`1v6XFi+ zP$C}2jj*{tD#jX;mAzLvXzMOotEgrQoE?eD@6hIh136$ZY%c@rK}5* znm`ol|Kp=u#<+Gl*pxGwjJHX!?wyR*tqe|1$jar*s4;(#8fzdu`&Dv9N$S3^2boI> zZ}GOgKb#X1Un9#U=vR-2v|_L-K*|@TeA5N4PnFS)Xxv8cU#8S zbJclj(;9WT8t^3gN$`lql$KXn$o1}|azQDE(jj&xF0v9n{HjlFjND8VLXU%)kdWZO z8yyOT^;=4&li|rp=Mx_S?-!n*SloD z2dVKBrxljJ!nQ1UWUq6b{QpO?yT$*Kz<8MPZ%noU-`8_tN~bYc`W+WnBr5~|E$3O~ zv6h8_0`e<^4)a5gs+h2P7k&T09safJ$5IVe^E1ULQZFNubOE{c$YpBW=icnzVfM$q zN!76b^3ml29FCdV2P`i>ERrN+O1Pu`;h3vhx(wt>gNMwWRt*QL?sSxUpSJAEs7Szf z4wFi&t)UM0TKsQz*dy$A&wPB;m}46RIe^1)3Bnxw_>a5(NR^`;z6jz##lyJGylWdI zrRfz;*Dy`N-$RXJ9S{WiQ3y02O{$P$)tTvO_}*T zj|#p7dfPdAFI$9PN?BE$DB5O!McgEXDh8 z>WhWnc*PKi64U58RKYTx)iYx$6fw$?lDW34Un0EOr3{;;!HK<|uxnh@K~hZAM9weu z^)8{*;5^z&Els1&vww6u!%9w}cv2C7xs0syMJ7guyH$O8OJ30%J+5G5d$EbwHrcsL zO*1z506`qV1dgjTH@L=F5#d>aNU=n#(=#NFhUXXJur?SUo*G2R?3yH z+^Ec6Fnv?z=9?KNOQ+p4AwW&wK0oK$fn|yav>*#Dlo-8C=BfpjKr5UYcYLqpU@w?( z;uFxR9Y>XAu;K<$yqGVky|e#eD-PBk^dnDAK6nJ`pL;WWg&S?`lu*k_c$ao)02p!o z)~%6>Y9-;B$>Q01LaK)Y_s{Tmd{E?Yu<4W*23Y1faYIdiK7B%`d+_uti$l{Ze7scn zKI;P>gBd;qe*dbF53g@vDI%o8P1B^=yicHOm?lg*o~giS6?Lrp&VD zUd`z97VboPe^ZGJwqeW^jB??p7rm2Svl7c0QJ<4BhGOzb!e_+pwD8a6D$F_>Mz34t zq;#Cd(bi#aw!!Hj2L-EjhH0uTxwD=xsTZdC2Ut+=zw6L+}@ zN9R~lg{(StgL3I9<}~RpukFNAgFI4X&6|tgf~+>XNUr0GM?DlNxjL;u!r?>luOugT zDh;#v_aoAECHL4_JasHYw#E2Q30*tpHet%mYy1xQ7otqS!-M#p;e!n|uP^RSBsP_S z;CG%|FQR)!?wUeh^{(-(7mqY4qOlA7Pf+SswDj-Zy<_WA@l2qex*XgiKH$MF0TgJ| zH{NW`A&y8a7+8Zi%Ys%W*}I6>?_6X5@b3U<%@}WSc77kobY4zD%2P(--NnIMSg%kG zgaZr=_V+xKk93nHe#p`;1pd$kt2Bn?S&tDS8<`2zwM8E+KYaYSmdpNk#8B(#_ujVA z(_le@Kfb8E-1<>X;yICP9iGoKLnMlsMhNnr%%DQujnFv|?O3q9E_14K433(cGzNEUPbbLLufC8$p@V(p_yrTPi*6 z?(AI#!#cbE;tpB9TuXuIlt_{ku#a`i1EqC`$rK#`n6Ox{rMm* zefsy`tlZBJd49*PT4`czEE02-F=Y+cN-nRp5-(yl`0IH!Zd_b+*>Gw_#Mtwg{zu9w zAHpOVS!{HSMJ#`W*xG&EfAwK*))(Qq9J~C}9*45`=ndozb$NJ<_sl&wJ(N3_cUo&G z0$_D_`ID*z$ZX(@OFS|MG=+SueDD28Sait_h+C7d#@OjK{W@aMIx%@CON7>OA)GOF~9bffBl+fzN$|pE4KtP?Xq2;=zg7#awSKUWk2os1!{3_nF7vT&Rp4$v(EA4 zsQIk|*7DqIe&+w~$Khlp*+|@M&{3u?N{Z`{`O8DvWkP-QGQ8hWLVGpxlwpi%Ht0l=B0I%pkuESYsTHa7O_^c+!n zd$A;kEbk`Q+m%1>`!Q6-Ek%lJux9Z8zw>}lQ6pkYGAHXz-sOJ8+S|h#_H>O0xYIzY zM8CS<{UBXq5<)Q(3}2tx*4nfWs)yohCWMMZOBkVuX20r#K5#@k&m+MHlYqwWCJ_(@ zi1P+ODU>@a+PAHKjjh;F)4d*sY&j5S4{}`S-+EkiufM;)rHBM#Yt*Az;F=<@A>=45!olt=7T2b^d7ks0(oX4L8rl-neyPH6&SDDHy?;hjtOE|#mf?dyX zdq7ddd{;-L;3NE|+qCuzScF`>GR5SYjkvP2SxVG_FW?>E__{i=GL>(&!|E8GN`=&e z5pSsZLpl#~yZ>*gx|0)jt(LCTevmkqvJT6+P1iU02*x$MQx)lL)G|GH@w4wIx9>`s z54*=OV=%SaVIdQue&r)}9ee6A(_h`pyPSGiCfya?E7HW#-D7*SjxG=P8++!a)Z3IS zPDma;#s$FoVTz$Gar-J_NjjOm>O)1)ItfD(&QbpLwji7A+ed)DgD*~FG_kC-DnO&; zy9l1Wb&A-mP1drky!u%T4+mCm=|VbzOv#$Ee{5{*L){r|q*AV;9YwQze*yn|bAZf{ zFjj)4gapiuJ**n@v4Cn=4>bwYhYxo;cPjA8JbH5Y$dT{&E!ceOo zc6APwM&Q0zm$tE@e}NG!?uGKp0osk{TtQ9VM^Bu1-F+xZdt^u>Pnv1@s$S=%-_EuH zMmn*s6F4iS`qXzEsv>v2pvE6I1Qnlb<>M)(#SZLA>aP{Gi*xm{(PG2>vu1+ zKM4jD)3;S-`>}u&kuEHTt~L9dK~l+ZKhSUZ?gicRMD+#y&eYL zg6u4%e1(kCI=4^Bt!WL86tSU4(1~3MTM9GWS-)CXtbgKm=|fiak(6dDn`5QIN*N|Q z*+*+SH$?8a+jfjmo#7FUN)iv02)RyA z+%%ne#!?V@g>lvyohY3Wv&ZTVdFnU`^*Jga4oa{0hoVmU%nZGxZ|V_>Wzb zj*|323_g%bSRdoQ#=dhq`OLu&>4CrI(o0+L%OuQm$ih_EcM2YOR5%b$2;6|S-Q+Rr zSih2)_Pyy)#ifRN;`73opIuSO<@rh|;R2dLHa@rUnx}2v{f=?+YWDH()7wsu_oz~y zfNo7fdxN&N5adt<(rt_1cXpmS?Inu;F?ICm)3VQS2DIgA?o$X(LbiO=KlwkN9^bdS zmW5oW!oCh8@z!o2BW$~gpmO!<)zF8o5YmW;(Ylh+$*l)SrB!l!*m)%ha_gw^pS+(? z$a_Jd*C6v;SD>~v$MXRhy^_XoXYrTzQiZcm(56(Yv4GLC z#-GK)3&xw{=4f7L4k%^a#qT$LZglH`0(D;IjPP4rLHF053>CGQJVy_s${HIdQ7HvB z3Qq#x(uQ9f6rDBQ$YmWYh;Qy-q+^&#xoK4O@WR8X=RE5*!6RDx#&9F&Li$P*x8|Q} zaScT_hpFS218b<6Ip)`-;^?_pTh@CTCkyU2h)R%#w`a?i&eVjy{QW$gO)#zZT*}Fo zLlxvo{@*xpcBgaHsJipo6yLXI}Se>#{bL>T{*1 z+;*D_D50zT+~UCVelJz(H}fT}%Ui#sZVf!H!foTi;AC-(kN+s1qfLZ%iD5Y*7kaei zfN4+YDJ$|{Ukg-8lBd!^Nx3wQ2r*pV@W3C*2ALb^?#cf``ku3()^phM&=w1K3JY~B z@IBST7pOp^8&jS@IKkXk5(~*zVlWMAX^Uve#fjZZ%=`M_Ps5BCB~DHhFT>+^x@`BG z9*SV#oOXm~t>V-@5$v3>$>(9mM}m3sbKLFT^MAcxIeu_%dcb`|nWYtCVCjLXk&%&f zXUoEq8?e#^RI#rwHk^35&l!z+6o+6eqM^RsgCOMA!@tt=$UF7`M&+uV1q@6)tV?rs zORTtCU@Q8iDfNItkGy%uzKjvWI1~YbVREzp>I`E5W<_Grcr;S^nSW60?5QD0=JWTkF0Oms{vWoby-M4?_1d9tBy2 zj1ngZVu|OY+c^xkPK1o?i<)hD;=Ur{iPA~ivvjWdNA$i}YPjRwR9-PFk@s>bf0GT? zny{sqY<-x~8)$PE{pvvR##bN1OS1jBw9>>!VuTknLyf4(xA)w#4r8#a-5azmnJWL+ z^|JEnOsP%B`;T7LgiF_Sp<%me{<_&XRe^-+u4DFzTKh7+q+@u-jlL)>o`8O+BJkf- zy!!~tmW5rb=HxZ)CS@N5+)1j&4p^JGV|;m=U;T6~yQr3sUv`Yj-L*QZ=nZf7knPPz z>hNWWt5e4^q-16;N$E&E2neCEP4!=spou4+AH39&8oInh5MrH91+ThyA2WmlK-AuC zLv(L)_Rs|ZRqJ9G*f&%{X73#m2Dl@x!CGNz5L?uERcUSyYxf~g_Vxt{#7S7>J%?%J zo#X!_>bv8q?%)4O$*LqH6yX?2R*K5XK9Vhzkx|;D5<)2>WF0FKDGDh`5!s56NVLe7 zRVjN!-{-6Q^LzXrkN&9pE{=0v@9TA4&+9pEi$7LMJ*RuP#tT$GtnGT_N)DG+08c0)L`XaWkX zE5|QVKmYJ(6XUCR-+#+DW<;2JrTODEXT}+qg$&1i5u)u?YM6Qx8Zt&4`7=KOuY%-R zKUy?@cfH@J-fnL#83Akk}8Fz z6qW>A7|ta<&6k?KIU*VKxsKgpIIL!e*+X%vGW9#PH`KRZ$&J4u=G!F2K8r40k)K)N zn6yltc|qLNFTMzvzy?GGcc_}7|%^1 z#QQ*GC(Rt)AoH%d`L?_q*g&u>k-2YoJ4|_0I@VC|fDKW5pbkLW`0Pk!VxtFd6hj59 zMv-Uz>B>ue)V0VdJ)+aXiWp4Rm2?s@?!F5P3@UXp_IQ8UHtymi&Q};p-6KvR(6 z@0)H8_ud;+u2&V9evNINNL{6y>Q5ubeY8#H7o!bgQYG$5 znilsTk2b4k^7Gm$eHH4BJe7`GpsAx%e8&oN&$tOBB1#7+2Az6etvKu?0^p-|2nvQ9 zDi?QLmcBZUu04EL3)~ptS(|AvGBjj7amJO*ImvTsf;aMV**^^;)+4p)`m5 zj^GB|9~t-y-5x|dqAo(6{QtIE|G{qaTKn}M-_niPV8ScOOv{9VtBbBLG zv1%71Pxv9y(?J5FhWQ~Trl@snhP3q<(FolMF}`!fb@vrm6JaD7{P@8gH!aq{eIc=B%;34;Y{g0vQZ8ln z`1VITD_=7H9&|0;zDei-Bb$xX|GJ_kammY*jJ=c`&vlzrZlrguvoMnX6KQ8+I;Hib zf%q@89FvdL8{l#4+!E-_O6B!EqLGy?G+cAipR(1e+}!)O3YUgy2qn&%qMON=k8o%h zEhudmIos`HB~lw8bcJG~=YvzvZviqYZP23ra{UT#-}ut8l%=yGvQhm3}{gv3P7_AH>eCB~Ak zqlA1V%_7mRfVt%`(we3Js%GvujwGN^lS-$^4LfP;A`rm=Av^-Qb~U=%*uUd%f!nuJ z^X)x1kVl0=2toml7~EN|;3d%0eQQe1wZ4s%lPjz{1h#aQgBAma%@nb{o47LOHbss} zztch}6$v{z-SO#^;HvdQ%&3Uf!E0)<@?w12LBxqTAr{BqLCt{7pFgkc|E%ys-_wUS z?Kve91UT@J4Y~v@`ErLbhIzF%>0c7TLhBP5fc}P`5&AD-!(iu+^eDcw}{U5p%2vx0+D@C z(AQK2va()i2FyVB4`v9METg5J^ESQOPoH0fg(xg44yW%s9BY0c+LP`!ljP66hk2M+ zCH{^KNMuXBYhBWrygOP?q6Gp{q#JI&b8W%H!{fNY8+0%%{0%&O;`u*KUcHJE2#OzO zW-E24a!71YoDOknoPN!|`ybIhqwbEbjC_F!ha_85`m*r)2iTvvDWOb8p!su_x6K;l zEz4Bg`r)GOz*Tcj<1^5_0{A619+>4qwAh)JbJnd?pNhb(wLnR5Z$TqOwib2*v*bb5Te zzofc$Oa>%5_#KT)XJ^(7ZNqaK5tN*mwFLEuBu&A*?=vgr0f+yyG?xpwuq+TcL2GK`+7ofLJelI>Epwt-`jfp~8YWi$)VVcliTA*H9#p z7)=yaMC#lH6$eW_Lhkoe)?ZsKyNzZ_vGSbQN?kvfR4+LkwnE+M(LQ;G%i{uf9D}vY zBsg1UbwoLs(HWqkg&UdeXdg&?b-(LPrprG=DrC-J+hSp_#7(;$H6qCC@$Fx}HfP?l zbBlCh9L#O|Z|{x3$cU<-VEsd{=5tI(5yHw%% z{$&O-W*_JM!cSDNk)_y&=`ZL{fw4uW{2UguOf5|JW zPNYp}a6$8b1&*8>Cc|W9FVifDVr{OWR)MEuvhI##?zXw436Oy*p>@BPHA*bTx=2Upt>>T15W0ll^s!SzwIYIP+Hi$tM5t1|mpW351K@aZA_6fWgyBVY9iUqs zBE%gz$AF+epv_A*zF6Y>jLfvkiMEYI#X02-pApIY0U&1 zfeq*y`}vlHUx6|{^p_?SFa5Jb9q~(ElQH1{GNte7R0G*3?gRSZ(%6^U=Q*xW#rK~s zGGJirT=U;`Ex#cwJ&G+K#*R29NF9T46Tb<)cH4ho6T4USuc>NGnYKWw3bV`f`2?gAFo4+@>n8pY4IkFl^zv@`)e)#6H1NLqdjL4n zYt_xmqTOgcw=3qZ2hN|c=D0^Qh?P|3aHbS_cBZ$4J2CW&&noHoH2vC-<*&H|YN=lD z@*#Q4u4gBBFf@^6w#(ZM;KeD!H8k{G^EyRZ4qfq+ns)&*{48e0 zBSqp>0PvIIi>GVq#ow>tuBz~=-8c94wKo{%!f)BuKfmD#XWf7FQdkDOB1ZXir3*_K zlYI~#WL`VTojkfU?fRFy9O}*OsT+5?FUKGOYlf@Guh#ax`?S9wD++!EN%>BZ85hHn zR%kphjfi_OZaj23K2+l+EkI&xxhb3JB*t}uyrZpvD1|--ueV<77Rv_7 zvy%?C@*=l0N1OGoU0($ZR z29oXlzvUb5nkx>+S-3}6J)u8(y>9CB0-eON2Uv^ZI0He)3PW3pTNC0{xLbmKj)M(r zE3Ue#-?xSL(Ue;@q<&nnZx(*Mm@q-v2ukkr%zqf`J+aGiBSprm)c97d_+`4*x$dc| z6A^tf?YdDXg-z}Wif0`V`K{&t_J_xb*emmACF0gA|24m7QmVV%`a&8b<0C{kPH z;z^P-#wGmjYZ=1dUt-%rJY}A#2=*}0fr)ne+al(I?S6ve`6v`vg-d8hrCgH?I3%0d zx*PPBwR_MqRjjxfa-pzPCYRNB^|{8)#5M$bZXrUWAV~OQWQ(C!rz4~^c+b!WSDU!W zCFDkQJ}qJ=1sJJ#C#r0`M|557c#3trtKuGi+Tk`uvV^z$LEz9w@Lr4Q2AEX!H@1FU zcN&(F@T7mxJ&2t?x!}&UwaXIi)|OO_&ca`+gU2fbmwv5e<5SSPYjv^wG4Ag$eLG%R zw~T68c{w)=4Zh$8@#z+)&`xcI=N{NmK9+|+M7lvxQnXD7M*KjH`rK;{=j4}fg=tsR z4j94!doXAkKBN7LTk`{jszJhthWj=5-vh=5ExsL_k8FQN9BAUOgl(T;;O-kXzIbzq#C0A zFnA4dqsK1%>cNl4JBW03U}S$?96qbM;vqf5 z*h;dl39o$iarDQINohfkpB*8vG@A7On+w;_|B-auRqygCN9(~0f)w->zP*%jm6DO+ zF_;YL3P-c;50q1DA}7SAM<(rVMg7u`}(1M`vPetX?ORimR7HK zWL95$Zi8!9zsTHX&3QdLYVY;IFl#PRs?IvEBengW#$KY^ENJIq(rDfT<|uX!acsJ6 z>uB?1LFP@=-mRE7U(z!^+Bf7I%CvYsU3`nT@W%e+oGyC~!<-A4=n1a^9_}$_@r_4D zcZAue?Z^{=O`A~OB+FH#9Bhi#>)-xiYk*JM>A9L5#s2Gd;mec77c%VA{On%qc2AkR zlr=Ra@4SlZ_)XIG2en1&WA|_5`poSNQM$e5WEL_p&)N{EtG}ICGFnM}_@N3OJ%BCV zC^i?Mw7+IjyM5k$l=og>A3|)noGN@dPY4_su3S*1TgS@;+A#p z9u^W=J0C_IK>^v3A|!n~a1Q-@ra)OIwg)@)Umzi^_tMhfCAwradkAXty?xtH6=q2# z%)$RC0zFt}@EV{Ar~hs2L~pzc*Sgl3oZL=#^fiU9{%A+v@1xwy%yXj*x_eVn$i0!} zmmV6%`@>2#&IrJ8V60qDv=&pHn4h8Oe$W+I1bLs-x=&Fe%q^o!dcxOfvhK8_ynDV+ zGHtTcGUuj~#^bKJ2vO@=cPkz$7jr@2h;(pun!zB0|79KjcqG0++li-^?G3_#`OJ9l zy)KCHp-s7MpdO{Y?A=EfA|4^mtVA{cooo`V-5aAN!Yr3KWs-tNdj+TzdOFr+$_bNi zXdeaXGH&!1#r1C;?Q@w^meCWIrPBX}uoA#9)T1Yzg%mDtKk=cPh~~iydH3!eJ>7a0 zZv_GjO>a)WaexF8FL(5c%1~LW#(rhO)?4*0=+Na3=4KZe$t=^&|jk8P?C^6Ji8VR`=0=|j^lz3lL_(|Ne zH1LFLP@_*+W94$XbZY;U9|Rh+Z(LO0pYmdSbcz6y{@4|ff?+2(0X;@9jA^7$Ntkap zbS$vi&t91?QCwb!wEGhoSWDqldVn|bP zo}Dl#xRn*%7chDRt?}t*fN|g5BdNe4`Vft*jjbTb9Ko7t-?egjh6L7s!yha?LNNT} z=s#<2?&3Uqrs)+6RR91LmxUB%)$=vXa*~JBXV`g+l@UpEw0@IARgSlhW6cVBu043V zkj;v7yV(_O1r&g$0@x2fQ={9*FKR6kcVzN{<0p|iifWOIQtE~^i|@VpI%@mQgb(sq z*t9f-4wz)U+?5_u+_^36d>&htRjAJ0`oYjzAX;245^cwyjLAQZ@D&l#ZVCQzHuA~)^ zpP+j@cKwPqw=bU8N1yRAFazUM@}88y8xKJ2ZbTd_d;D2E@5h*C03=A5omD9oxp2DV zw+`_1r`@w)5+UqzznS5M5s}g_Ifb7yhEA0GlQe_%A6))+E({Moc1iJK z#LOjwN0+YKEOnmjYs#<+n$B8k;5B&Dybc8XBONf*ISqr;sTa@Sg|SM=4x(1o4nK}Je5gkcF-EZl!?z{m;PS#`R*iGjq@CCnpZL|G!G6A5-M{Z5mSb{mNuEO`kjKV!I%Q(N{%_?M_UA5EpiC~=$i zh*nOB<{nnrxw)1alrgS6+GaIxe8-2vJ$k1l!uS2na{lKYl`Cigb**t+u7E^IOSXCQ zaKUvXemi0;;?wl7j$fL>P>-PdGu5jU552s$7M&KM=(j!F#{p+4Cup$<#cEgl1Uu{p z0!mmJR66|@PKEb|>bLt4%X`R8V&xz14veXD)_@4@QTdX0qesMNRM!dGE3#k&55c{x zFem0OeZPg!RO`K;(>>D|=@F^B5e0OM)qbP%QOmcU3x`?m)WL7(c5QzdQs`IR!1`4_!bko`Um*&OkY}3aH84@m|le49~N3n5o z#FiP>%-BUS5?l7Mpv$kk$IHj#U{BaF2@7 z3sL!LZt&ucmNl27TC7_T**0Oqb>!KBxETxiL@B*PR1U)J1|DBoEFI2eLe7=)_=M0f`vM>mwcp6q%%I58mFGf9?{*d)Gl z%J#ZFy70-?KHV`BTzLTeT7cv_cbzzXd|bK(a|f;$BoL%&?47LrW+u^Z<}5V2%5>>B8BN0bh97T`VI`DiCK$LW~h?SHzW;uWFf{C?=_yJgIU zlo%Mu<@wBwmuTg7?gsJq5QK5FL%M3A#N{MGA?6Sg{&3}e=<_3E06}0Km;TH#>@UPJ z5;(ied@_N=kox)1a^i!F>I5&oWeLdh$J+r6|L%`5n*KC%2_CjD@yCT&&dWqjZ~lA< z1Q0NYT9bVN*Zz87zsPcF=E5Zx&s4tWIfvM-7$52D2}($JX3#_v4J6l{rEQmgdR>b> zWG(LpajK}KYkC6WI@ZFkrRMvsp!SyKH(5kgt-qQ1a;TX%K5q0@li*m(X3KE<%hmMs+xChR!F>Q-<3bIC!t34ir)?v4 zw`&j8ng*R1|8l2%f0-=*qSEVA-+8K?A3S&v#}~Eagw~w|&k$6cvJZA{B!UP?)>M+z z`d#NFu!k}+F-d#<00dFE#`WR}-MK(~k3eOh5WE_CdB7vzEYyo^q=~mMPNqdWFrBQ| zxrC!~{Fx&-DwwtDE<^b=z%K&e1piu*Zs>pkoLCPwdM&P~b-{#&Ks$>>vk3=Oz!jrd ztq@&`Mw)Tw84#*C3S7HV5;A}8-96RpihcmwfB=@t&02?G<-`UDd4TbnJ8qJsO}spd z_4jfj&yM3ok){W^>JC^Yq7(SJj(0l@JU6KNSb4pRjgRN+k!6(TCEe2gel~-0Qo<6v5-zu`> zhO~<~292o#g@(VK1lHe?Q!fO7)HD89(5T8$oV3KBLot+n4RgF9tnqv9XmD7`zlmb( zG`ERvKJ;PF{El}4w^a4f)W9GZocX|2s2JgQbZL?;oB~RM(>ktVlKCyePld}rNf*St zWN4seOKPYwephQ3&hL_=Tur;tAr_}gadO^Blb~hGmAdN-nj&nA{#;&o9q6bO#PQ|+Q__@@~-dPt~Sq|w+yku+WuBSRXl_`9vZMAzf(^* zw*QvTNQQWVr=8xFce;C%D)zpLwTl)jqzW5kFT$d-Uhnhg&siMI>!0tCBb|;$)}u$O z|Hmcliuw5`?HWGHWyDvF;EDM7)jbGE@9F2u?OlLnZ9Q5T{=ynE-5%m?JP zT^Cdn$THWD`*+@O4xlK|K7>~8m}%BtKq1Io*cEIu%!;lrZsHa{4mvhQ#VU^q3ig{_ zP{sNN4pc&8F5qld;-;C;i2we`P$i@lUU=xMs(ReIL8$O*S0?OD_`d|!;qE+tdZG=s zFUAKChGEPBFg_hp(yIz~mh}_cfyrchkCwpyRT%>4i;9Ie?#>P})XH zzn-quRhu_~5iChs8lJj(6>w(*AXVbjezx)yACnJY`liJ91cE0aJ1;V)NQC-JLcE&U z#qWG+Ev!6ljrpuZ*Efq9#oA4c?@}k%zsCn}~wMniopblUHCJWv_ ze&xbvCxrscHT1Tf4+_F^2htM2RG_9GW|5(8k$gtklPw-~Lj>Yv{2l8*L2^MLO+ovcR|7-q;Z!q)4)>qZ5JXzJ357;ld4wI2BsAWQ$K}So} z?it=n`nX1tor!$Ts5Z+D?mcp5f<}J7^9<~}+&~~DAmPSK{jZ~w3kF4Y5EKcQ?o6=^ z2);@er=@U}-7f$oUAuAEw-SGtpxKxHBPINujr=R|Tz!-^`u#@w)#nzce}K!1QzEHk z2dKKiL>-1Xpm=_h=mwo@`*Ft)UwN=uBb60IE}bg$O~}UjyeW@ul7w^;&par9+xyA@ zy9>au!KX5@gG}16`S`o6nM=MDx!ixyi@T&Y;JK<wlg3@Zl&v`h4wJRL-e+OPUMhvZS|k>U*khZXcW@k2PbE5me1YX zYj+<@B>Mk|ep;+_+Pk99bzf2C3zuvX?|f4qxU(?kPg-%1GrdrF$(+6P>hu{-X2z`8 zw1jvzp4fB*%eJm>X)rhoq9{HgjO~zbX62_};*1=$dTcxYSf4uHe^K~tnd!bGfZYFW z58b)rDfea%{Jn3lOdU7M&YW}zMD$12U4lo{*DL6Zdyj1!zLjC`Q+IajLawXJj+@$8 z;YcDsYbBw}?>zR>uqxb{l5b9X8QW<|qw5oFh^|+o%2T!Z3e9*Wn5)5H|5MqY`n{ZT zZpzM@Mw##~4V@KPdm@0HuQ@m!FAz16jaNRs=`a9ORFlIJqc~7bHEdJ2`aM+O`?*?B z^*VMM$G&l5q{OmK42xtGF zDvA70l7$Q{4gg%Mbx&m4V{;As>}+gu=JxTSUg}(5Pk(!h^EtdKmFZWP{WVDIxb$1_ zuSv|*Q+DEo>4fQyaEPTd-$M67co1~OoZ%qAkImceKXXP72JKh_T*Xh)?6nGOpZ~x!+*mB1C+2+kXcZ@S+y%7^jAEP;*i78*ju!H<$=o)PqEL0u zh>OZa<$f1QJVg*co1bsSTeCNigPC>Mm%^n^c?>b3X>4>(H%N3k(fY7X6se6L5tDqK zF21g9kNK7%W~pI+Vovxk83aW%&f7rx&7@9ufM4Dg*8`K;!aEsh8~XkJAR+qpojc30 zFNT;Wt4@zSdgzWkRq{tVnbfv8QiImi%PlYFz7OsPxPE*Z=8}(Eh83W1##Ei1AgLVm zP(C2m*QMMl2x;#^X_OdeMuWsQV|;{*at6^Kh5u%DzYkXbW@d>4GSIkx|9(cCS59Yh zX+BwX*)7B1s(|wVA5#PEdo#-=O#pCRhp1{G^E6O$RDqi__x{2bj4(vMeQ6U^Bi#o~ zMarf%*z z-fj3U1b6dY(|$|XRD?|fR$88wl=yH^=f%)IVO$3ab!wAczHda2~3~xb$S93Q~ zH58$8^H)aEBVspZG1i3$?U}fW1K@>`=q5OY-a&JbXO+`kCKj_f*JK`T#6|7P8Sjq) zTV@Sjy|D`QzU!mk%nGo{Af)mxzv)n+zWTo|jJCC9TL|kKUKa7VeHC-s%FK+?f2fpq z3)CYm47Y{WI)6}B{akq9;fU4GR2g%_pazp4qT$b}Em0M>$4sD-!A&L{-7IlosQl$g zcSOX#`YVU+99vZbBkB^_I4=D)161*UqAkaID$kub@=q%f00pu!+@#^##PM-}YLNh7dqp zK7eF_byc4gIklG~`hOi2}0{%aqA%)M6lrH4GfkP|9KZ+Uembvb`FJ$ju z{8=RK;_$j_7I23X%;}Q~Y8>S(aJliY5)v~ccxB^pxfL)i8k;Ha+ShWsq{K#ap!ufP zUwG+kC0-0{dMfB85S*QqJ>gyf@SC12LO0oY4RFO>TRD`J>-ES+I)OzcfsiI4-n)Wb z=+DhBNLnk%erK7c8$dPLpY;oS?~eb5O}A))uvZY!{I_w-H8+;$j9}eF<20B0{Vgd> zq)aSPec*CQqByhGidD>Fl4tZBhh1M{Tzu(hO&9APoEG`#dH@@j9Ytg|{g!iFb&v7A z5#YB1k-DWT-@0t*kIc=n&xV?x0tpFRiyvJd99U+-VP&elBH7ZqE=q}dyzZAFuVk(2 z*_)Ju>9oevg?F)VQL(+>8)~$4xJH{}kIkpYt0t+ej92Rq8W^>rQz0IaDV`!baHivJ*+^~V;B~vxl!wl?q#hfhmfBwJ&`m9h{)=T&eWN9-~lKt&w7wbDN($hOg7%(SFJbcJM!O43d2(%e>V;?(?IWZez3|!o)0<~YF)+?9baX8jQ=5MmNwhgk za6^7m^sUR41djk*f!06ihmX1}d-oz!^Y(Z&cnqdL)&H$MbydgL{^|O=nEGW0XdQUP z_uBgi5J*>Hzu0EqL)x>8hjSscYO8K)-~zpZ@BpjGMUm_~Ol$qXmWSj5n6!ZNiJvuTnXum;rdbH6i;>Pwo zQ18O&+clnCUyysh$@M5@u4Yun$jU@c%;KCm+xQpf*CM`;)=Nul+b3^Esdk30?SKJo zD7N!J&fX)%{m<4#)`GDKRvAw9=~;W;*Lz$wJJD|tA0C_~;>?4MJCD!0+%;Rbw8oB@uG#XVeb|sZs4(Z@VI<8(Fjxa?nG^E()LkOF(Iw8dn z3@q^L*6OmQEx-L*u;}r-n@`gqo!iL+8|i zoeqqz|1%-Vc-yx#zTX1$7@TRL1dts91@&d53L+_w8U{>Rq~L&UEU_GtbKnK2S-e64 zjP4aD&I5iT?s%1>g#2Xba1?6JYSabkS+Thw{?nJ?xbn#Mg~F-2U~o!^p&G2{N^b9B z-7|f&s~vPad+xCP_l|YtyBKv!UFVqpG2T;&3k;1hB&6}l>}o}0Fyy?Bh2Tt51x7i~ zp|oK4Yxzr3zsMaCp4tcx>Wk*Xyt2(aBs(1gp(YZ9OciHhPXUVh$A4DPR{!Xhw z1FTwFT#z}i5$`h;uRIU`%&a3B;wgUf#|Tfkf@oYXyl@3Q2zQPAp>MMc{(~tO4SB!w z%eoa+{}WBzE|vh97{M5*iePz!RxG>yJDhf}LpddzkAst@CG=Zeo0V=LJkCHYPCqm~ zvNPvaTJSjIt!$yh&Bl^WddhjO6mh)*+2lu=nR<7nXsT3&cX2G6f_~M_Td6gq&9e-# zXhc{iR6^d##H#LQA# zw|n0(u>DpHl_F6m6!-x!Cl;y@x9~Ny$K!xtrAGj42v_!>SAhwOuRu)L3f_9fV=WXq z+w3sFkds-ybJJVT{UOU*gl=~kODd{hw+4n>C>-@RyYBQ+JM~2Y(y%9%KQ4k)pm25p zJQuf-*3DC8<>@#4Pq1nRu~p*ZCrh3y3zOe2{KEFuLZ~XC!N!;gtrrqnOhX&Ptee`H zyt@1{x$vjubz zJwX8!fs;GA^cf`BkcTM4S%iWbzuLcU6bPV*3k%F*n1~nIZwlNEn&Lb^BN52 zByUYFF-k=S@Qxaa#bA^JOaP)12*Nw-6+ZJEV|ygX4_HvPe(+*d(AD@%Sn7H1 zko7bjwmC|gsOH4;a!R+er!#b(aA>?|#K!Y5H`j8|BIsKEOF9&Vjk;4Cns};r9lk<8 z>?^i!_?F@Q@m)^*>8b2(o-JK_3lcx_&Ln*1KFqCm%+uc58i7>7p!oMeO$VZKeaxGR zXW{s;5F#;HYCVIO#XCD0b+!#PGEU=OdOF2bqKo84J$gY{hdAOR`93U78i4z%@K`@S zKe~V4?)fmx>JErN!_Wp#g0v(>d^8@`(pHCw@a+t84@IK&I41|{6jiYvMht<)l1w0+ zIIt>UgvTO~APLulD3C!fTRy6w=}7(_%K;xBnbJuPQuT>RH{W<@&D4`M3GH*TZeG0_ zngbX91B`gy9PloJM-nj+vM69+2!#6AR$*XtAc#oG!J34A;fF^#;YDCl$3m?}^tiS3 zdRt(3aY0*L_Crm!=Jk;mZ1;Ivbg$I^@ObdXi_Uy~TKkXvtZTBZ(p@>*@vP z8~`IqV~9^`=_FQgwMm<^n&fFdxuW<5mGN$7Z{+niI=XIqgk5RQO1v{ddxUsok&A%V zY%Y+#*?DuU;)40N=I_Y^%Z#1q)VCFQ-!Tvr(+iAd8-70%c8Ov=dtm98zPyRFxl#?_ zk;8p4LdhGp%%z4M_YRZWU?lm$%2k0+`{2QwrZWTE4h?!ewUSCorzPR{z;eS z_{K5QXtla&$i3f_$70eQ!7{QtfBH{U-hPT7dX-fI7r)B^ttP8Ym7fjlf40Cl_e4d5!p%m@@1B!f0L56jr7A#h zVG&zFUo7yX3oR*$^o#@t$*zh!rIy4E_`nZ-MKhQ8VhA?xzQ=;;8GHi?N%c6%Zb1-9 zE0!ax(C&bsd-U|_{j3WR*qqz-P@^a_i6-PuGoT&k%IXlJ-xNZBBnTXKNzIMEQAfFD z8lTSTGPo67O=bA<-Pgu^I7ET>OYKMV^CrG<=Y-QQ=zXGH)I(6LiUBmSl({SO^V$ago>}njh<$38BHZ9cb zh!}g1$bETKFA<1_&?_QUL1Lym_sDv>Q-btCTxz9wGtCOD=oLj@A_| zo-~;KCVeL7zJHQKM@Uv+gqrhIx^j$JkPR$RR+9ZXal*brDkl)*W*&@uh&^&WTQc6n z8kpY7q5Hd1OCmIhdoNeoEZ`+9x{kkVdN5Pq#we-$43pD~3u8Ym{<5uauEx);aqlMf9-|Kn9g%I4 zw1{Y>#w%wv?SD_@UfTHo$g(~NJKq>3zmku1qHjJ!R%c%Lvhf)mvY!CX&FDEkd;0XK zAFIsv{wa*YYpPEd_Tln)z3>4WChxGBF6-8c%RM;QRY2eF_fL~#;cpX>KK&v)v$<79 zyKueg3V1C?lYx(9w!M7uU_f=x-cMovE9wwtvkW9xP(eYWc~g9N|DJ3|z2u=f_R>9y zn$3Fpzo-T90dPhNjLGMY%wk$U^WT`vs3T(vKg5{DR=xNvka#{ql8!g~_2V5u8p~{r z9s&e0hNm8)HsGy!7Z4DJ7~&BCZ44B$V47Wrk_)*1Kt82Twc(dLgkVdq9^et9cc$)9WBm{2y zd6i$vzyJK|czlWW=lweWmK!Nfm2!9LifjA)(Iq-jYNPrjwyEj&8c7y=o|0Ra@qXC+ z_-?x`pbw99G@L1KIrJu)fdN0fiQKMRh8Y^)nNhL}JKR|T_W1Jm zvN`|q@JT+fQ76wboMoUgIP+&Js>YVaW&U!YahyEt@(7nN$rvE>5iux4Kho9(Hvq33 zr1veJ?p;`oh8fzdZcN%ft|t46U2r`9c0wVNR-Zl3z~drgYOh zaQF#DqA7*kihK{YBv#0Od+lHOKmQW!6zD4O4g%k2p(D^HhKOR7G9Uy{vhG0$6=1AZ zkE|4cv4kSS5`PB3?m$)xzu*ICe6zgzLB^LfJAuw0d(q2ynP7Dz=++`ocE|SZ16$$k zcL*2=af>_h0#9gGZ>|>Bj@Xsc)BPiUsU-Ae1VfdFFF^i0utiJ`0z8<0+dSRjBF`J1 z%9~a$@Z|F&seCe`fQW&E0-YD}`U?9{uw_-vpUhVPS8m40x#Bd>wj`7VfFZV!^aEEh z3YjKuRC4qEfnCLJEF)!}ui~L~_c{`4JOMHyA*?z-`eER!3k+3e-(D!YO6HdQ(wrPN zvY(RC-X_D3w}{Bb$-p}}+V1DpOg-sYiv4?MB?nM_nGKKMZs6fSXnKM%?7&^F$W3vs6 z)^l@lIRG@4d}?NIc)=lKaSt?f*tnY?EZ%LuynWP7NfxX|0;Vm@jE%MBePp>lm*)bv zbC!w0Cd=jfLB-$ek4cY%Yl+;fqg<8l?e+3+%)9Bbe8bq z{!6+~k8iAt^NXZ76@mtNHS}xTd~PEjE~^~1d_T?x>sjPRz-;L?NnXSS2`V)Nw)nlX zeAa6iT4d&=WrwnQ^G1j@)-dzdi=jg=r1XgJXy#lkv!TdeezYQmEjT7yBH`l5c1om^Z zH>gEK`fRO5{?nFM?96IZ4{H8-Z%yhGgCkyu6y?(}^Ap>)e>^FA$%gicCKNYULU3Sg z>oKI&r!XZqacc_7q+Fz#w%iQ$jcq?1uUUE}G%bW}@8rTF#9q+4j2v*d;ouscn`_QC zxxuUGZ6wb!49-}ROHOGcqfczhrsl)Ne(1Pw7~Cr<)71h?znt3}6V!_4XA+KIu}i{# z$qom{f}ZX=zoOyUMq0ANjY+Hoev!?kK;+$mf`WGMfeT4vA+T-3(1+ILLi=C?Gb$(k zDe=;&^vyhQhfj1p+a2Vlsejzi;FJsc5}j?zk?|h1#P@(D`&ItHc&p^`eSHLsEH;(T z8p9Z(GMSRwfxsoWXg)}twe5*uJJrxbenMQOsG4Ey>=^{Qes z)}Bzj;1>+L_5BC_ft%O{LY9rR4{I#X)y~)=iB!=qgW?M8;+!Cq>vg8=`JqYjMjI-59y6hEqnXm%BK%-%T71l zjQv!b;x&Ea z9?Q8GzRxUxkH*Q%752)lyTU&?htPXID0f8hF28y6X4?|@oi53VN*a#fdGO@uG2Qd0lx}7Mvb)VdJcMrlht+=n_B_6qfIY;)+nZ$gn_H?3eI&^1j+X+Se~| z4ts&nt|F{{XySX(h3n=1S(Mf#(?;+b!5SnVUcIzXc!@tszVElv(s1h1aFWPlw)L{I zk7b#1PB0PPMe8Uaf*x==UqV(+vLGBGlUVyl` zo%)KaZasBcZz^`frFfAxyZOA>!Ry)b^A2@vG2@Nt#D5k1>Cc$0k{s{x_bIn|?g}{7~&Johg)GTzC2*+T~BNE3PkU(PX+< z_3DO*%*Zf3T;;qe6{-71=Jnvw^Bb1w&ymV8B<&>pnUD#Ju!0K;I7pdU2$$oJC*ta zTSr}ZfZA=F0`(q`2WQR+qF-tEJQuhM@d>>!PdvWl$RwV-#n)5ya&nO(Ckt;P(?ZCJ z^M1-`xrBfEKPpq3>yP1EHVX6h8qGB-%TYMdvTy-Bs{H4%1)*8_9i|-gQwTv?HY7Z@ z1mb;p(^h%6%~(dT*{d^HE+=)R2KoT9r^PCq$fZ%n-iEyU`Te^Va*zv+3==>9aEHXm zV)=fMsPLW`Vl5(r+7rj+^*vWw81BuipVu@^-(yxbyE8 z(|8vsd$b$_9NcKXqKu+M{e`F-I4lwCgF-~Wp@Y;hsrc$M^lx40W79c!mdQU5S~WVb zV_G+8xUS&K$$|~zLA7r7$F3Mn@mOe4Jo=yiK6^~;ktL0KCHVYE-80b5nE7K5>y4Yx zT;5IveP_55|HaS)&!j0;NNehkB zcXRLh`&T}bS5y7{avkaH$t44CEZ~(SU62feM5DaN!Ufhe|B)P1v5yw)=AKz4&--d6 zxPPiyCaY}9K>asA-UbJ`nb||Q{~Qt1G7C7^XLFKEMa2r(YCUpjZEHhd5K9H#8Sz{O?}9`{Zelmq>BRfB`DvzG z+Ds&6)zHH>Ff~t?rC08#e&4@CrBaio7r!+`N~K4rG;zJKUJIGh%7ur!(#4G^MH-Hw zPO*_v!fTP20%nZ`FUSaMFI0G)kNqy#Ky!$E;zP5iSSkh4UeapoPDXU3E~l}@^jYO? zHLp1%H6$cjnlrRb)c56NPxv1h&9U*otbVhjLxsbxl*yMd=J9pL78v<9C-e!04-MZE z)m&PCMgRRNTHb%i5rRW6Hw`uj{ltDsSUY3<`+>?fRo!VGI8!k~H;mxr2ak4!z-$X@ zv1LQW9{}FjVW7ZPl@Xg$T*_wpAN|F2v4H?>g%~GbIR>d!vl+AND^@TQmBK-k-K|R5G4%0+jG5P5CFF=w`(G5($badIdxs6}RA=$F!MP`7L zQTLcz*-CEkOma)7`H0I=q9FYbuVE-U&;dP0Hq%r^MMYrGfh0i$e1i)}uReEdKki}< zy$%qlfy6^7f`C%ubp!gnKRQj=#36+XKNaw%UVxMI%~S0@Sf0bW#NK`22xxHVjm7pQ zoojpWAXgi7cmMzG`4MjJh$Y-dVnv3o1eEDsqVK!9 zM)exZpb@Iw8)pAU7<8_?etO8AxlCq!C&7jF#IS@F;4$f%et|C79ok3};!=E5p$Jb- za>TG}Li>gzW*#bVtluzFD*GV%PP(I=W-DG5XMX7Qqa4kYrfG#Kh}`GU%T=b;Q)nAN zt3>W7o@e}$G>9q_@z!3~Uh{)4))fvpS$cGDA5_69P&oUj#OZ&Q^s!Y^An3Q~r)K3D zGey`)4TyB~FZg6jp`Q(~<+wV(G{U3OVQJKwx7d=uS2EH0V*i}b-0KPHe6#vpq9OO2 zWb4ju$z7Y>jzy=%5d%s4be71EBCF28W?W~hE{*0a$t(?OA3~zpKtV@Kh8LHaoeh*m z7xyE^9u(WwqVg8s$JckdcfT`xPMmKM67jo&VNK@PYdnAS=eByjFq_ejEbPQxB#en1 z&hDXqY>V78zD@XKi_8`8p0Y@5nwABEGsvb4C-y}vUtTUP zM-Nn}&jd{Vt<4QWiUQ%}Q02tyv0ZfM!`C+h`eE%mVZXpvHvKG@p6+MKgkj12$b(Ns zXI%_EHwj)jjj;yIeqy;M2VQ75_Qgv7;zfzK-}f%y#~_%IIK>|x_D{M#VlH=6`csz7 zlhAO!ZnWgX9>@o$06#9){}SEirv2~Kz`RYC=)Co~5ZMDE?KPrEzy3}%4F!g)s29qv&wcJivBlTY8QoOdc4bUZD0C7=!owCX zf0&kPJqw>y>Gd0@KJ%lmW|zl^_9aP=qR`Q{x32We{FD`Gm! zsebn?HHTC(J{gtv?&V9)FYU0@a8+(nZBDnJSE(}yZBbT@sgrQji+IS!ADdn1(`nUm z@|HtRi&7^>Jy`?0o7jE_*2^kHEyjLk$*7IT;;3Fak^OR-4di$bg29i}ADRV#fZgsz z0MwhCn=fN|t$poGN3JpWuhA;=zA2ZMyuhrp@r^XNXVWFhjDrWZ%k=Pp6A%dE zD77iiAsT9O{*%wCpT`cWBEN)?3>LFzH2x={5t!kJ89SspAXwVc&4o9IU;_Xy<~5u6n`Kr`bJK0;_8R;P>Jv zjjW6l;6+6M+KwW4{I@ifsZ1QDo+aNMrVLVjauhK=7P;%IhG=(rSg3s`s2+5-VY{)E zVUj_rv2xL*b2Q~ix@m~yrs+uQ`E+YNtqB%W=|6^(eo#v3Oo^`Xg+s+~}>V_;_# zFBfazHsF|ti{BcAQ0}2N@$qW}c@%#=O)4P#er)gKnkAwa$;Z$)+ySi=-3bUkVE9@J z6;K{eE6?6>2J(#?YCSp@t+F5*l3!;)$Zx8GR$v3X~n<=q< z19&|t`e5vUF3hySLezhP=a4AC%aKl7_~!EeeEyH8l?#by;noO(5zc@7>E#%<_SY2P z=SD+GpiuZG2)pQA`SinM-}LSv@8LLE^9nt)3)#y)Ne_p;db0k5PVXKLMJyNt3r(i_ z-IVay#A*ch*u7D|Z#k*ABAhMI`BJ|ejpDxR7EE}6_>f=Tr6V=Lc2s$O!CKp(S+MK5 zf^=4_qtiY_t*`xtHPtU)e z)|RaMrEOi7VilWW_no2Ee=w5re>7bOJk{;{R!S)vqL7G=5tR`#vga`)qiJM>6j9lu ztW?6WlSE`yic-odBq~ajnS_jt>?HiJr}y{&eBMuQy|3yx=lMSOeP8!AZs38oJqADb zv{diZy|>h4e>lGdvIy!V{C-yBDTQTbX3_FMRLf%l3(beGWzf-i^i$PUOr~*i@j=%B z=>oqji#2S2Ig_cBl@;0XN}V#h9xiVr6zd69NTO1JB2Y($#|juY2wQ|?unc@7BLf{w zH8fIvExhxd@sXSbtCyE%O)oZ^_pVLr^&C`c2m^R2@n|r>CH&Td=tacS6P1ZN^}ziF0VwGriTN1-Pq>l*!UEa|Xb?Zb>x*yC zz&IuD5akJeKJlFIta4*W&4&H20nr2Mw=Z0#yzZlls#N{EdunSxaMty2 zwV_^e3$W0lyakTo{krEY+r*nmZ9Zdf2k~Vp*tpc)!&x#qa^%X!9h!tbgU*xKVIu4s z)=N=(0e4SDX^It3lK;U2QE81Nhdc`vhf!wi!6p(CA>RfC(+LEZW+M&g9v4r5+yUCM@(P zC^`Z$PU73yv{rP*cv`b>t=+}(BjH~zQ(Ub)RwwPhp5{es!M&erLA^xHGUW~n+qtI}0C z3<&*;Odw~^OUAssr=)6-3FutCA8#v(c$D+my1q2$N>Ol$!_tG`2Ie-mZA<7o7H8FA#gq}DmsBE1prH)^^X>E5LFGZ1`qQ} zh0$_&;3F|arx08?YlvI@9=s_3=3?Z6J&QDEc!SBnOYRQBamG$UvSa!18^m^nL`4IC zjMAnM7uRKDx{7ZmJ%4>u(RdCUqn)=K-W^$udZY zH1<3j1_PG9L1DIIWrBMq{7#94lI}5M49Ja)z$l4T1#CS(@;mCn&d`f)j;Ol3mKJA4 zsS6BDOsxO-^2~lMfajHkSXJHK_d)>`276eTDBrnzmjU{SE9&0^sH{=8=|cjLPN=>; z^He1LitsI8&5@G9FDGgA^;@46?qS($++B4*!+#HR^x;tKsfHe4EraGlVlyo^=Jh1k z*3bIOFZ)3sg5szK#2#wGA33*8<}t!!S_7~NgtJ-Gk-J`;ws`Q~!I^{Q55K1~eo%~y zou{%~9hk$}krgya*Zx|X%aIg%z6-!R*>@bVhSJfU>YmWbWllP9> z%fwpS*h>+2M<@sFq_u^g00IbQ;<$w23CdPvoRe=3lE<5E_@c%?Uva%&(xW1|UI_Q@Gp9ZEDs*%_b-4sEGw30#%4DFqUvHy8O5u zh>Iacd4<>yA`dWYL5UGjqO&Q~+XW^7IVQQ5yr!@Ms06icr(E(EY-b*>+&Z;cB;MO10Z)0*!0e z$fQac(nL+Ryt(GH|5jBnIXYt4(n|;#>#Hw`B=JZ0;kMVfgpLnVPmQKQg=9LRxD9XD zg;nZ2iGP2=&L!hg#DcwmdXjbY^w0Ln$t=O37LVffajI}US}!>hmvPj{D7x;4P_w!B z@~gc!DKtuw+NN_Bdqdjz8xok9d)eKb@e0>a<9K~{r7n4;=&+d3ZV-zvxfFt|@I?p0 zAPYD#>b5n={YFN_NKse{jDc+gb0pHSckK}$ROmaqf%0N1s$<*;Mk7kxjj^9-fZ5KD zOwR2AYf20A%Yc|{fQOpXh8Jr+jkOgjBb)h`*d%)OzMK7A7 zi^6*KGUWL5$_Z|1qQW^}zXMPwD-ygQ@$*9_bjSVtK{{ztB#E!@>WXr1nt64*sJLa)>O*(vfpiH9+gp@?8 zTgh>70B^A#`yZ}}f|L0neJE6Y6Qcl4(&W9i@$x`E%5Sa4 zixxT*GeTu{Wj9-;JhDS=MW#y()4mwnm9?95AFt*<^-u63+3o84UNK4%?=)#2J@<1O z3YKbZVzc7fa$O&rJtzLb_7%z@`k;C=pAjxV_)5!2!D!w2yi(D&Fvd1Ank=c9{dh2;;?FrM!BZ*#IFcng~5?` zEuBz$&=3c0C&YgcOodo$H|(J8GzlYuignPv>%U1e*&qEas&1E~+n%Q}4r#&=3p%{n zwDP%!|Rt3p$LWwLf@yW$EB?ZaEaAEmMUdJc1z#4lvkAF_~gl|fc$d@3J4;c-=ot> zAA-F~H}OQn>;|}Q%$n z`T{Y=o{vU+*NAR$bxu~SiVEh8N`Bd3J5swYJnz;G#9;aIXlZvHdiM8cUn^q?;D4_{*x)X`K_%(rpX=g zV+UzLf3H#LFTK1iu#t}K-0;({GO2cTA5^YC+JD{Vm7=&WtsmnUY`W1vklIQxHL$^< znI?ihO!VYn5Zwxbxri$(+M3L=#*?umFbK^QM7^xwRzf?fESK^cr~uLOz4yms8w?-| z1r5~;bAbB~7)JzQ`g2^Jggae-;0!hyFwXlT5)g-_2#B**=#LdbcZ2%T{ru;HpZWz1EW5wQ?S*&Kw|x($Nuf z38Eo$=OC(kVj)5xn1=b{vQFY23%`)BrXi3YUDLw4i(`-?oSDezDh+~+s_HBat5frRop81!HI(D43 zoU{Y9rbq1~I(-zX3efKlx<$#a|4i9-Cm!I{nDY@) zf1N~7BP$ZEzVNyD5ed~*%u_2t%LR=m43!LXEP0;wpM3)>+e$i_%_vRq#F~qX$TB%k zdS_g9tuG*;OfV1ESh?;4TjR@9UXbR{J8kaTDt6~2$P#tylGmfM_{@%md>X6*hAOEZ zt6nDl)?=7Z|2bz!LxbF<8=EHh?FP<>YfN0}c~FBd6GO<`%_8Xb|F-sA4*EiGslXIw!oyyqPe;wJq3_&mg0r8kn^2pJ_P0psM zsS4>1DwZzl@#owHs*)Q{A*Q2V=(=(RcdZl8+ip7@~*M zB(!O&lU!bg6yawC?TxVm5fa#gojpteS(m*&U`SKr+TrNHvo6fk zVQ0;aMa%t`Q-4pS+HKa&afk`N!?c^fxcannIpA+>%SpvW&w!!}3L-B!p|H{iIdMDI z@^_n{Y#uz-Q|)-;tdy6CLK)AUqZ5 z?6HrZH~rcZsdRm5Y-xV!*9W!r$D@;$h^;@VO(gG^7?9w?E16%Iwp^0J;3x*6zkbz4 zZZu=WY!ynBiC@COBwq^b%u4ibB){;y#bxX&i5(L5EMEN?B=FFymRO#6P5$VfEno6` zI{gzIGZIqg*k**#BkTw~+E3CmJXp!(>%A3iz1l$Su0O`G2*6lPWWMMR(G7v|jElMw zdK~c!!-q7SL9*^U&Cgs7+p3^*pI`oZ>MJZp)zt2B$x;38Lt~|!V!x$XeE`m;ye<+M zd!Sb`-BK&fa-8Cuow)pQ>(bPaFeCLr^c%kLlmEQY(2x<+KDT1lBu(`9cIk$nd>s!w z*e7yQo2O=PYAyJyaQcQFr;*a=)Z+KK_$2nsHP`#E_Gn76QU#v2GlMbwx^D2C@TG8J zMf-ItZeJE-@dR}tB?uSm-{;7HYm2Hf2W+)q>yvRrm!-hu{P=UdtWOx#NPQ&h&DD~^ zkKlIg`umqP3FiWMq5{$`-*IXpgnE|fK?q-t?r_r%@paepKsR-xYJ<0wDIhT) zpBDmox2kR__~80sAfZT}n5`ZH@Ybaj!)2S~xB*`wp>a2O)>`Au#5wyEOndtX7XC6G zqg#P8OZ?TB=bUeSLWFx3;8CZ1L2<}~Ua zz6Z`uh?Dq;T*?=U?!MDcmd;W9`SbfREqZT1Ke}I_vE+4C!GJG4Cnx9IZ#3Sr*5lu+ zA!b;Hb+c&pO{6o$;6Sz0JsE23Ar7Yq()h=S>=ahrvinFd+5ojnuhwMRD%?`OzI^SG4UF*>^a>z_o1mNcony&a^Y$G zy|Q%=%SfhZr+|<+P{xY{WgJQq%%|*xm=|Jy_;P&g=(u<0x2~?PxLqA9vB3jENiIZ8 zt#Ngl_95w6W|Ewy!7B>?M*H$*9MR0prC4hOxz5q=+`?HBF8D|#m7m5=@zibs;SK9= zHco-U!H>$v?NwLQZ#v9^07F$>7Ue0Ag7y)7`grOItYl}$kN752hm@(N6Q8w0n{W%+ zeKTkfb7V5Kl;C`-dns&<#Eiz+ZVej3PIktzMeb-7DlO4o9bLjFt3H7Uro0BgmwZpK zo_fyhxvu35i|wDSdqU6Gjq|5zo}hiQ%U%ske#C2$(EH1z_Q|Yw?H6B7<@Q z%PH`{vBVl)+10L>A}7_)`)*75Z;ij>kpWH4g^+zAISaNkzADp$MwXUcJ@l{Z>+8Ar zrf~T_>x)0?tyf0Gb#yy|KUA2m<&e`JaQQ4RFOLvR(wcx*f=~zSsgAIJw7gumC5IhW z`dioqK(0Wnsp;kIOV32(BpN-g_?tJn=x}d1KKCT?OL6s36NzFo#-x?^2SyI$M?!(n-|M^ZN*~KQYQXb z5A3W7`*N>DJdN`mMxpF%A;A|rO3Sp@NwlYRp3#CRMKh8+0;mJI*0IaLa}^5uKS*Q9 z*#RUN1{_Z#(5>SdASrr~aWgL;rn@nm__WadsdPCTsl1KIdEJd!>rrjH;Rj zTY^Y0PrW{xD>Y}a-p?z~JpVPeo~*@pmlQH5bZF*iM&R>3DBU}TlR)bK@{7s_<=)GG z?n{1;YEAMi0EHv<6i}r|e#s@AD}=^zrUfxPI7Iwj5EoXBPNP{`@l88^H*p5<_x!$* z{AaL7y-f`fqk82X%EU0w9zi0B$uqnEYMV!gky!5^U>Ad?hhbMm;wAt>l~|0eoEt)I zWFE{im%?UhcP-ou(PAj@awG=?O;|i9Bl; z^yT6XG=2&%J1E(9#?cX#Lms^z)Z?gt;P@(T)_d6|k?u8obs@D?pjR`2xfpqLfS_{+ebeCu6(0-FlYPT`Dh`& zk7|W}!Y{S0#Cx_ko0_n?c4Sy9Rq8n2sJ|D4y4w75#+{3rTk9NbQWc%e1aPSO1g9x? zO)$p}yWb`t#~>F4$T)GT1@=VPGnh26+$4)L7)p>jOW<`X)**ohE0m_6aU$lN?ui#g zxZhpYgGp(51#JEt=_-Jqh(7aOSTIeKeq*aTwgu1}kp!MVb>8yVb$9anS7Wm~P&~FW zE1G;>vOl+qb8HKtMdWxzHJXDPtgB`@(55_2dI2>&wba!Ba8DN40@z@ZN#?= zbCeq#j8F?;{x-tn3QZ>35&(Hz=rTfJRSuPgiI5JuVWc{SzO#;(Q`|{kf3jhRqe}IL zS`nJQ#9m%1UsAY1D6?^h8cT%V_xG!Ro?OjY$fC1cBY%{pBRu#>y)pcB@A@)IuC_t# zwE*M${FThqbst$%?Pp7jV$S0RBIF5tBM?~?gzUR8HJ?6owN4%_@idh2aY9K#7hXle7q5ywg53s+)U#JC06A+;Tlq z;`vBm*IAhPV1U8peZcUAtOpWtRYzu#u1#!;aZ?WY6k*RsFb6!#)w`c|H2xHv=nT0% zRdfw9D`M0^nlQ4e0}X%}eu|d;K9PTYj1dA%->0_G+!G#;@=-@i`SOWAz;Awr?VeWA z`RSo%q}5qixG$>q6*i#V9~`)!s~!2(Vu|=q1uc&sCz(g24Id|-dP|c^OP}&*m{>Kh zbA`igd)eN*S=2>P0m-NbiXo}uTcZj@SxaTZU}13lx=#Mn8uV;Z6~xHl$?X$6d7?7~ zADwu_{-0t5K9p+#pyQAd%S;eUp27Q;P)xC=f-7q}F-fzoAsgD`hX=FUu(LMi4WjsJ zbJvRP_Lea6vO(PPvOcukIWGmRX(fEoxJ-1oKkG&cCZ!?q&QYQ(TD#|p?q3*99E;9+#cjPUjd@r7Y(9&{t4&8s-a6^I%~WUV z!HFf=c!{dW-sJrT7JE&;QKdH5>;i82=>kgx<$ zuKC`c&;rnjPv_nI^XCs&&#bfbQP&a}KE;cjsJhIR|GbRw`3XH)R9+$@BSXD2pV=gF z7Lx-VtAIZdF{6Oc2YR#nK6>OmJ*2pFeS?VkgQ^0%w+zoTaLD}sQ8J{o%YHri+wg_5 z2CD&d6~vkgj|gnnpamdEC^3Ko@)D~Q56QHW6F7Dl9?>{B;27lc!ui7?U37D4uD0!m z#G|2|%lfG@w7n8c*VWfD%H>q??o{Cm>-I-B8#v->LuapPzdEpuzml<4pzc1$i5dxZ z9U(@!qG%m{P+&awufv7gWJh_cEw|BIianf<#cJvvX7L;EA{)hc0ws=~OvT#@7!v9u z&^t8w@>exnrTop7?2*2uWzUiEU6>`@VYP%pc-_6rl)o~Yr@FsO@l~$L6x?EJL(7Jd z0Gjklz)9dU6B_K+GtZV0i)vtwqn$5EzQk>Ky5_XXl!ZFJxTt%PxY*%SwM^Zz%=qx9 z0saYjwAA%oS#uRF0BWYDd`pUgXf&MSAdC3bVBg!8Tz`Bj^NXOL8<+z;dsjO z<$N}_Jh&~J=C)iK^*1Dc9D17Ec{L~q93_5`0b`eHFRv_m?=0)frzlQSie`K4?vv6j2m4A5TtQPPA zoccGfKRc4K+dN+nVW`bEY_|Fu|wvG^i0a(BU ztY6rZIx7KabO-z~l5UQ%#LXvcYMCiK*+2pY(D!Z0yoJt%i>-{S@ai(f*kNWoXMn7& zGmFYw4xd9CaWl#%3|FP;^1p2VlT3sv_jXzn-}tL2C2uGw50!~JKdj!wvQYvmfRuh0d2{QUWDtc7HLes*>RSu8-POx`WBScBU;)|MY}wvNBJU=5KO z-oMLy`7Qgvw*2J}N!NElr8&k$Ckby#_s6^LqR zBZl0MPyER&bnbN-X zFlyue1}+}ED!P4y1mNM9q3gC?A$w^Yzg+GcUI!I=5o|o}8CxgB8R7Jcj_ObL1u}*7OHV*k3j7X4l^OYdoA{Z;ni9F zCfr8b7?d}eQ781uTcUYY{tSmX3&tHRSl{Tb8_*-rF3PyuU-MN=6$2u3w80<(10F1Cf&dO2fK+nGqRZZiPQ0GfA z=)pkTj8(MX^FL%3&UW1Z2(r8@^&kUPgryX{;K~?-sSrKl6m6Wt3X)?Go<{)6*zyn# z5I!gY91DOG#GB?j&H=`HO|%1~MxjBqe5_&MGXEiY@l0#MN>Ej>=#V)#umOdGLM%o{uR>_HZ+(ba5t z0l^1G^{bvhi~uFd+K#EKCzVM&me*}c{TtsTzVvY1sjz&bZoGa zP4=$y+HmRIN?S9uc`G1cP+iQvyu3a+Gp5RBYs)%WhKY`k$BtiTs{wgX`1~d{rdFk* zqb!yM+&8{V?$_=TxuxW7L0wArwK!$$S3P6A^7S~cmmMrWS7%_oo|ZdR4EijA4B2-> zl!8qqz!d`eK@p4QnXGW}a9vTC)N5xxwgt6i3tzy4=^ z(o|BVhjT=*A#jKLmSD>bKw}lY=O!!iKmeF~h{Z8zN~qN~uYwuLx4bLA{F`SrPJ3&i z)*b(!jHSHKwJo-hq=-nKFWH%Ya=GNO;f4JF%FN7+;x=?UapYp|&dIv<3IiWj!W7@3 zgQ=?9Hz><+y#`ubeTk6?sC3F1#%P>-P#lkKTblZ0*n@KkG;GvdzMN!v5akje$MWku zs|lQlh24S@roob#wo~-R_QZz*=AAu0UGrZ9W3y^v3>Cwdu=RZnP+^bG98T8#|4x?e zKzuMIuUGm~#zCx=1m z4PZs#c6RX608^*f43l`MpATNF1AS0-q|UzZpVzk`GG~&m`l#YTe`+0$G7r4x1A7bX zY9Klh?)e5Ht_{LG;a`Yiyc#$OmblHcPd9{{YV-0x)h!sq(N$nMRBCiQ0`v|LBPqBh zN&JKNRJO6jv{{Zoe-@0Xh+ab925k@loH38Dhs~B2j~{C)syR5WSBTHe%1EEV%mgtY zwm26e{e=Jl{v!VD;4NLyLlSkkKJonh^QGM1vR32-XtqNZ&fB%`p@aTA^R&FwVa4ak z1|^p$a|CbE6FO{eC`Fde;mp_RjMcNNp5HQfQdA_Y`linftAC-&Gb}umi1d#_=r-cC zR>dh(9Hw|fru-m)!IdlQvzp46qxtBU-7Z+Wz3lGttLm)tI@4_7{NA!3KLu0P zvzd9P3Q?C2nI19Oclf>;+l(fkZf-2uR$226YAlcZDh25~FkGFT0;TyGj{E1|`n#o7 z6;aFg(EKGj4$us|HMr;B$Z1~(cx-pM{*=n~RZG23-YC+TZ02PxrbO?2M6ih#%xU=^ zfG~|YA5p~!YJdkD1`$FFCyOnx6oK|4Z?kUiRrOmGB{G&^IhgUo$^RrqPm*cIe373m z;_od;7KHnp@sxsk(NqS_$|^b{hvod9fn$ieN#J;3H3mNT4qngq;xlzxv|6Bt({ zqm0DuZa|~~OsnvW5t;z-n!5w&nc>Gq)_mxmu*HhR7FSp*0vs$v3a{ZG9vCGE z@&oFZnROk@smAG@`deZPbaIx1_hL!qi$$Lp~(5rfbOzv9Bc)VdWrABAWgI}RW zMw;@lMT7*io`cxdx_5~<*Q03uBk`AOBA9i9}c}$!pB%WGZZf9XuJMg zr*_-O1&w>-dvid{pO;YMQ{(jF&KxZJ@>2tY@WhL`NTaE#BkX1LpZ9$lae9G_s8r8~ZWeh4j8DPJ%yfH;?1Q^7+9 zUVZ;^0pWhUVNHnS0y>2^x<3Zr4y==GCdLs&(e?G~*ZY=9>PQw}(=|LIj_X?l^hFs( zki>*dXDt6#Te4Cf(tU$zYc){DyjJ_d)`t!s(=T<0`Be)ljx#bFDV!gI@ax;ctBzv# zZdVzkbh(#oSW9w837QCTRddjW+aiOn3HF3<*{7o23(Xbb!h&@6A^R*d?9~+h9TDcx zOsW!}!bAwmguMbgQ*PEbN~OaUgGOGg65s)vyaXZudMm)yaJq0Ps6(tgeuxn}TPGq*VVZ#pe}#T~@?2*qgoFFUZp40TgDuF=!&?6r(l@roVM)&X2vMMlCk z87HpV(Jr5mZG8Lo#G{HnH^GP$3vC4e+croLsZbA3Fatlw8dp|8fbNzV|-PU~-a;4B2#d z#rj(LfObYSk3EEh@TUVNSR6F34yfq*@9 z{3M{p?^L0@9@Gy=dmh=hgAvnQ+J>qo<$fi&edP5QbhpbKF%-$WabNR8#M8^hOx;x( zf7iZ*@4zo&)=W(La`&^nsN7QaYb7DW6D{norh|sOT0#Z^9kY2YRPcK${GE`!| zEfPG571Ll~f(s~PYyL&>1g&Mujqgq0-c=SDFQ$|A3BTuyki#L!XVh>Bx1D*~9<5D* za8e9e?WB6+W+BF3STw}C7>Ti)gcf0L#*-%e0?!*Wpg*ALupA*Mm5GKof5g;f8fB$l zj_nT>njVv1jNQYA0v?J^MtZmnW#IuOMzuxGlFk zP6tx*9J#*Yn11cWXi2_tjg_3WBG*%xMEg#03l^@zV6-;w_@5%}9$#7*x<{~0K~>*5 zpRHKfJ_4;Qp$&>-%*LjPcxr%7h`#~eKPnKsV4q4Z6<9>Vu?3w4!s>)Y_Y|3j9-X<6 zhPS70d1wHEY2cd%nG_MIBl!#-Uc?z_;y7`f`{$r=f6jlx@h`eeGR{wn(a9KEl)@6s zDS+k8iiN>7Y5CnUWFrWoz(4-X0qs&lQx5_Vl28h53Sq)b=hl-vVGyK=+p6DtTM5J# zoKF4o()r$=ggo=<3t_--bGiay(+U%^U#ke46sv6fG;I9yQJ1tkcj#YQ9VoQK_Ls!| zprRd*G8Tpk0z*!dP*0NW54V>%TLhVt+_&#eK|z6ejW42rUxg`7@sjC`a3n}&1%nZT z)@;rwdRTNWB(X?If1g!_^1gqKr-B1b-&iH|`SeuAzL;8)DzafUNw>gS&NL2XCYKJR z!qur5JTXg>y#X##DB3qlo4ATsiLkEOshWwGiqD9s*-@D=4D92fDB8Ygk!Eo+?o<0N zgq`O1cOYt4bJwyKh4s0L*C^!_@Hz4`?k>G@r8j~}oU&6x;@XNs*h}u`*1}%<3V-gy zskF=ZfRG;%A}0`2dsFXXqeDtff&RT9+tjI3A5LzI9a_cN5%U))9;d2qZlCP{Z@3yQ z)a2X87X&;8T!v2=KmKO~LQ)E`ch9V+LME5C9J4jCwL}9D%X9P}=l?)=4lPPDN$*Pb zURGv?2kNNx#2|q%nc&2>Of3r!2jguKc`M$?Ekq{bzB-9OI$s_fC$yO}&$=040M0O& zbON!4!~z&RVDql~hYRh2Zk1RiQy)&Rgl`d%U;}0*DG)G%UG_oIWRMw>a5=N|4{BRE zoQ^wmjk4PP$JD6=(&zr?eUV3kq-uR+e%T+VhHaAg%v4A_0`)Bk3mKp9TH>brRkg|R z8-7+MP_>>8qAq-&Appxjd-k8R0xc2lp3Cw0#4QaMHk`l+zvXMvG6uEm`R`f#5Wzz% z%`w6ao2L-xDR836CLO=`()`DxUvM@{!w3P(zGADLu+3CKzpv6a%87qk-oVgcS#UG) zbNDThm>5%2Vh@rjhBf$5SS_yCvDrIV%|q4=90B8E5Zrp~znR!z6vjcq4hmCp#6@2S zw>}LvC6-_Zi8noy??c#FG#8(j;NFk5zce|c+ntL_4zFG2P(Y#mPJ0#B9m2IkHq=?P zG+jFvgCQ7*&8ueAQWv65L*b4qH`g#&((t7G;eGSMl}i~GuPZ|>aj8A+Y7}x~S#!hBc^SwvOj+`r#!yR~UYs>@Bq z;hXMZ?IZP!Kcnr=ZK+$QJm*h#&uSTk*Hmjx79MZa8GA9NxPR&Iq}P1Xde{MAUwo_X zbLRTvyUyLaDFO>H*hc4QYbp?upHx^~7t3wk^G}?bb1(H+R|H-xBgB#lh>688U(;16 zVS^005FzS0*O!6$g@zF<7|tgzEF1&)1J`@4eNqg>6=)27`sR_f!1f6ai|em9_}*mM z2%^LfGFtHC@`uE8zv#7ZYKiKz+q27n>tPkKF3d_e0BFbBM)ee$9J)GLmU!a2E zB*3@xc=T3W#4o{ihLZFw9M=F@!o4-`m#A<7jtcOqi7vjh-pM%#*g@vQBGgn{egk+wNWWTIVH4Gjvq?7giA7tVwN)hlg^qr_ zve9SDP;_L|vgfaKUtiyLH0oQeeW53Me7B;Xvrzg9$BOd&f3^rvR)t=n6=2pv;&y;T z)V&K{rq)R36{b&fwh3t3v|rk?e5!A{Hw<=4Ngg+QAA!eC!s?OcFyCy3NnmOntegiv zEmF?c-%_|rq6m<>^cxGk%kUZuqT90z)HS@ ze8=dzXOvpS!XYuNztnr!d&_vOheXo5aTXAsp$#(E9QJk6(1>g3uOwv; zKCk~79)Pe$9u0Ek;JyS2Db6x}Dr^ly5H?wu^lvboXIk0IV|wtNkWlK(Ui#Y<*}zHO z%Wjr4rnz@AvSRT+Wh7XmgK1p4qjzQ__zo!sH021aS+Trs>(!o}afXx++1#H_>SQFz zsbTED%-5P&-2k#=*^qvBrb_}KkUA+2KDEBBskfttd(KWhOFyC?f84}m1vm|8&WMT_ z?;5NWF`5eNw!lII7MVuK-UJp7+zRqE(%AqDknN^(8_v1B_l*d>xduG&%*A z4YbV&PF@c6?0hVlzcn{D`v91pERgYKajj2(AQ2t=TDD zfL}VnTI?W;Ybd4h(6P`D(Jj{CeDJfF#YP=GuD&vs;*O=Nrv09uwDWI%$x$;N>XBAV zCuUrXGa~oiWoM;!k?`$<`}o!9;DxlN%Qky^^Wlk(3HRLUY_U5>z&iW+<2^(3IZD0l zjJ9x-wl`HO!Q@#SusUEb#DE_1SFp;kO2=FX#%S{sM6$*uAz_T_S5BVTod@qu6<=FBciq*1Q`(uGOn}SGcao0?-ZR9lqM1t`rFw1dNdnCj zolZs;uRB-(KjQ-8RI;JPIZuY8KDV8QA3?pEX%`(*wMHB{Vgf7=wDgd0CEuw#Jf>sw z@+bX}uDqWwSfls>TA!>*!&?jPZ%@SAGtnjMU^^%Sw*2!F)8!7VL` zd6`gt#(zQvLdPun@QIomqbnV`Gk0XX++?@-yIp9@qP2yV>xLezI~(<5fD#-yx#BkEN#LZ?Uo^iU+(m0p zE_+_%QsQvZHhutCSVZq_nt+pN>>u43vhpm8dJ}!iq+@+x-Ke%i)Q~ibmZVDpZyZI^ z>-`6I%hb6j8$G@&Ha{RC{?DEZ#;ZM`S^*~`V<|`?xMZ>EggMdeCI=Fg3W|upl=t^5 zW0|WGRV+B3ZQkDB2M`C4ESub?_J_|^(>!+_9n+Nn7r3vKzyHnRo*Q6(hXA5jKHx2! zzg`9D2AGhl4L@;$S+VZJX?c;rZwIiY0)K=dh<%F!E( z+f0DMv15e)>-s6di=kB^_NNvBnnj?&9fNHZ@pPse>2TNp@QjJ;-?hgqoJl#X(WrUj z$B@h47zCZQx5s@)>;TBih%%!G59Yw@Q7l`qjBeJL2>(izoH~OvX>=#4~3M8+U=~ z#(x8PDkz|AH`m0aMM!2OoUeNn)&Bw2^uPz~U@*u3&vXo!JzP+UdWkeDn0tU1;U5rg z`Pi9$@Mp>x+-o?1Psj|jFah+D`30BBCx*hA0A6-Lh=(o|st;xwjgx@M$ zMA{VEzE5e(P{EGvfhcZ~*z0{qA`S-~33Y&k_mjr`Nr3Lgvoj2b@hDZ3mh`K)+3?-%XPsN)ZCeWz%atbPZ*uK)`@TXjKCa*9ho1A`%{!CPu}}M+cBRg0VGaf{ z&W(i)%~`#qQoDKW&*>r5;voQRAUXpf;NSM=V*8gbS?DMP=RS6I#YxR7($~oyi9Zm+TGg9#ePt+?$uZ;BGkim?|~<w22{CUf5 zV|nx_qkW9oXxy0&=JC@?Vn-b}uU-K%#(l81nb)t+g9qem_V+hs55k`YhyZrNjo?N# zcXr-iT=a)W)ixQ|iljXQ7UGS^OZy*`xEXHEU|F7(*WGOmb#p1Ep$YHOBgn;Zx13pW zd5ZlzQBHkwJnmM@Utg^GX{*y?cq(SYWVI$IeF19{>}(q_yxHMhi9|80x_VnKBa6M(nx%({ghtl7}hSLkW$@Unq6A7d_7WGS^0dp z;O)fBUM&}weE+$(mP1d=7w%`Mo%M$TS#Vl>#3_%?K#}E8;5zdYtt+m+h<@=Rr+8kp zxv@LPWhNmSuM?trOeUB+va$}!rF_QFoFcrvU4$w(rLvuM4TONy8IJ4E^O({z?NuHAE}Kk)f`aP9Hl#Kr zj9-nIPuP{5UBE`)Dl*&Ze^k2FE^7*CI5QKI44c`E;?X(VRQman=UeOBDJiAzI|J$j zo@Z1tcb``C@xcE-_2WTZfrw&TZ>-O;QO8Va>cANRml)p*cB=B3j}Tym4=op-U;rMm z(r#*N6Gr=sM_o!%QYNAmHm~PVPx_^&?AgpvhiWWHLZ>_zLS*zmZ zc)y#__u;A6m6M$I0X0#U$AePD^4oKytK1Uei*sd$S)T;Yanps|#}GiQv{Q2GR*m`&o)4s7z1jB>VTunBmx(1S0>8is%*LsP`ekU4s5mS& zKmAHeq!;%`$LD-G4)!`9ek}jeHd18w?)QmuC$kz_ zd*ep>dq)%OHmS5W6qa(!Z%)2_HlNiYFUNWLyUs6fZ#9&rzEFzQFKSh{+0X59Bd^`@ z+G}>$7vMPcpZ7?8>t-0ROIX-gLn8zTG4=Uo?_S>&J%N z!yr69e>X<1-yRTMvHY0xtE!aMwbQznJ!(6vEuR_aJm zy5Rg4t`~JF`V_pcf;)d0TrQqBC~oNC&Kmh*m!F3#4!b7yrEa3O5to$zUK+EfXPUk*;Y%<#w5KwPJh*$>!YJEW-X&RWy zvsDbstW>vOTxnZ7nnT%Ed?aq+%YyEu7ap-Gi}v&E#UhUx7#Jk6HxaZx5u=8-=b~~& zj)CybokoC%mtPFTApx#~^W3LLEo?qi^t`rzQdZ%ivvHN*{R_uNAK41t9X{Wt9-m_7 zC=%sNs|QM<-#QYj;ZyE&bLPl!oj=~;91~%il}bJeMJgqJ$C6nee>r^Q$k5cd@b2B` z?~bq}|3zx;fEi0$KpA&2}Lv&iD)_wx(>rez}Kw*0~^>s<{U?W$F*rWEIg z_xAq;T!HfUDSUm+r(d0;gl9)}ySwzG%>|Un9k*)CtnJOEFjt-KeBPX7aqB)D+e%AI zcL;Ri35A|G6PtnS-gJENf-^V;-`iJ7U;o;*sDGyM>q^`eJ_?NQIbh;Q@9X%Q zgOJOeFB=;i{8+hO=^l+n+qmRFk~kAvR^1fPwpw<0xJhm{_k3eCBZG(An^H^M(YrRg zdn*@bRfEI;fF|eeT}==!flAe%djhWN%H_-OUw5V$$OoJ*Fjd8V6LT~s@!Wg&Ovq)u z;ZdBb^jVv{#9^D0g1XMeuODQejL{qY(Kpl98S$}mA#Yex%_m~?>(QA*FH+~vo{mfO z(YfvSwIfbrM$zZE^dr2VPRqC(Qx?Z{9GR2yGDIHe&(>H zipjwEYQR!2@W{DbFuCIqBkSzr{q1VPK2EoMawG0PbTdpV{4_e8c=}SEfUj{*?7>W{ z+4JV+tz(@B2Zu*S*U0#w+LYGx)Fu`UTBv+1+kBx<_2_B4RG#G6LYqRr7sHRFbL{e} z;qP&f_oQVWx;qpbbfj`|uJrWuPNz>d_ooJoN@`r!yo0h>oBg`b=0bU@rp{$ZblmcF zJmrGN@NRyT^hp=V_s%v}3ul-isdiunvj2?sD-*>icjjSP?Qor%)Ej51n zLc6N8u4N(>!^Hi^yN~b)%_r_}w2TK2_DJp9m-@Ko*wZs9lQ(ejbb2Ep&#=v=d&<~h zd}CO2#j8Y-$LqI`zU~>l!f~|Errg7DWud}dima)2Q3I_LPjn2OFz_c_&bWHeqOc)T z4y6P|1Ok8APZLCC@Au~%HH>pbIoZMBbeNkbgocHgT39@Al^LeEIKRShEW@~KzVv=Z z0i#^pr z&g+GbdfDZbI!nAWGc1lgZ^-u8)Z{{8q)p`0Pb*LNC3J$|#=0h?sih?wA)th9qL7c5 z{rvg!$8g{qK|_ms0xe?wR6TnB#l^*IUu|a;Xr1!!O0V30QCwQuS-PfYkXAxlGe)nS zR$ZfNgr*#%^8S*B(%Y3eo3B=1|6RU_EG-9Y1$*2S-iYG8=1;D0BMG7B$YCA4vg@0P z$m8FaD-%@@DPtPD11_6cYQSRgU;lFdu~~mZA|N_nFWWCO&&0$u0Nzw1HiP%k`GR*o zK=fytvM##1S5f%Wh_V-h%yS5Vo?x?dZReq^P01Zml0*F!DYg$8Q(nGQp}Nt`ae?D< z#XoR*_~_7-vxZzVc;itPq)<07)d;p)!)BBr2vy_kAHCL|yLw6Km=>x}h@Wgr8ELiM zq@|eJK+SDYH^0!eYxY^Esfx6?UCg-|u2Iu<{IWgoM=R}OjEkJ=1d4`RPO}Khhuh>O z411n-dslkt_Q=j3xBMNmblNiFPK&wl)O2=qcAl&g=yZ13V{EVLPE= z7zAJ+RnzlvwtQ(}oa^heg7EeDo*d5Z(`<-4;JTFFbEXIb{Y^^jY3{FGU1KJH!AsEsn`61`o4Y~8VpH9^ZRN?uDtYtqYjFGRUNAcv7&j&HVI1$M1`7=MC5-`Flo&V*h zUa2mH#h{P&qOne(YWT^EtRK{{7~Rpc?TW`Pv{^pLah>sU4@i7sYK%XFqaj9q@MPB7 z=kva;ws9yA_ZbQ;+gHSn*xA)=yIOryXP?KDoAOC^JY9;S_;Pq=y*tF%IP(OjpCeDX z?QF)U!5#kH=gp54N5nQ2^vkySFxP1MR)r%N&Yz!3ba?2J4O@H4e!W`zH=t&xif=F_ zi}UNkDs}1~c%}H2&X2zM*XcLd(TQ2$uvd`E0_!L^z&Uik3b~?r2YpsENOU=5nuw$L z!Hh+2tYq>rvKNkDXtnbO<7(D+Y@0}bsJJk7aC&z3 z6e`UP3A-zWs;T<*z(~-@<)Tv{0`!1@@)$k0d{qbY^^f&G^UE@B_uv!q8A^V!%y%Z& zYxD}=i%9)*t!r{YMY&cd>=Bo6I{ge<92It(o6XOMWjZ2HHMnFMvRp1*j(7FiQ{$Wh#fGb3){M*omYpZ{2k;<1_YkD5 zZs5B@?Bhlr@y`}MBT@@5dH$-@JADFVq>r4`o}%c*Kp$cM(s#|tn;+sGewJM!Y*p0s z6wTECwRh#wRN!y_)-+SpRHULTBSMs&6t1SlQkD@CiJF_NkzJP5Oh$B(C4($Up==?0 zu4>G^$(CqTwnFwLiA$GyKVQx7yz`#(JMa7N`^V2YopW<9*ZnTf^Lakc^L(D?X(@UD z=a%>Fql%i!2U4<;P2VlDN7bbx3l!+-*h_L2h5KcWU)Wj$?)OQV%R}erJHc8<{4rzbx#Aa*7(GF+ASDAROH? zw*YGpAxQ~GVyOw{(7RA(K1&Lc$=N2sC(S?_ofuK#a;Jx0IJ_fMb_(PP@&@Bb*3AIimej za@w-8q9RFaSoT=S_JO-06z(-#IZMHgc(H_h27y(4HYsXv;mN$q%0=CNly1!{*23FA zx?CsfY#S0){N6uW&hlM0S2t7aZsbtpy#A`XLsVdnXP-@YM@#=`b;-H>+|dFq%ooi- zZos2)mk!X-2h1OJcJ^$vyB^j4RK~~ausnY&N|MG*B|!4*fdVLspGZh%l3;tiusy{L zXYBb~s=l|%e)ho-Ri4=7vu={h6RJjKMXz!)~VR8Nf^bLcky2M{9&wKya4NOxIU(m z6;ow+z15u^S=d{uC&z9r-@oN;fW4dKva!|!?VepD)2B^OzY5#VE-2a37-)skH}Ebv zORX&}>Eq)r@D#fOAHx^%t@=)h*PbjcphA+9ps=uah9HU}#H@Qqor;`$nyDhM8rsLG zGa9cJYDQW_mi!G}Sf2d-X`um-(h*#56P;`3qc; z%Z@CuEOxwxtXMV)TkMkDe)I5$yZUbV@)s>FF_Y%^F)@k|O`Hc`K63;HoLpUf#_Rq> zK-luoa3_=B&N5m3$G0x-<9SaDN^Q-%%QmOBw>#gC%vFS20D6l-NeG}FW*%ZQO%W|b zJuKwPG?jk0-CqMG2r8ohbX>0d<4f^4gWt8=}9<8H5@<2&;ekX7U2u3Vw+D*`^`ZhHDY5=|0r3rDf}gyyw_cff|?YND|p(>??~)`Cg2|r_ltayt@`+!$6SRB$bXw$bw5iHow8ql$VVaa^gI{w0j*T-PBe z!WpAwBPhP8R6X ze$qz@H;VObdH?<%OjfdkPr5PUYRoMIv_Rx11@Udc)g!17`U_!54l2)WkmUjtfH^Z1 z$ptBZ%9gz#$`ExQfqg{!tQdq95a~}O^kMbtSk)mj$kWh2<}{G!>mivN5vS{Jw8l#^ z*InrMD#!He$=nGG)(>BbezpGeQ{b{J3r~gK+Gntk>Nk9+mm1PN(Ka#PI3ei9VKdm8 z15?j1=Qs~xwNTr+F9SiJba9&gNHN@|6KS__IO6yhhgvltn z1dSH3K0=24STxeO3%Z1l=}&Zu)t4wfRm)47fV^hV+|vBI*r^!fGj<%kw+9>`0-|(b zzri#U6*^blkwfLzFWcqsjh8w3?sHe5Ri1X=IK#xdBBgu6M>@m#@myycaj3r>DnQ@*bKx z_*N`SVwi&71QTL-J09IZsD1%h^7Hpk7Pdg1#IQRD8PlhWY_OM)kBFDo9*$M}B`fbQ zxuZ|-q`R>*-6eN;Y`xK;+2TI7@A+__*xxHG&Ks)6Wq>=5R`^Hd6O$~Frg$$9N#PYRC|Ma9{g?8;d02D!)NBJ6EvK}Ued+w#^(I%K;o6a}C22Qzb@qx~DA*TJ8Kwu=msB7z+V6o;1A0|1&Noc>IBVG}u0pxB-WN8cgIa?qc{0sB?ULLVhSFct%^O z8ei*dakxL~2Ga(&e;7vrcMXj*FCci<)nyHINn-0wr|<;U+Q=vpmORPfVtSy4`hm3+ z3PrLXRwl|bOTZt;PTT>428j^p+Ex{jnR?z5kT3J2!V;%Vci9?pzQW zJGw1o{LX3Baxov?aO{pCR2*McQU7w_3Fh8c^_`s)TRN`{Q%!MEZTro z#^7TKdE~2sXEI?UK)vDnd&I+&H7+Bz@HBK}%x2;_(yD!jY0Sh-3xbnK2G-pqUxc6RqR!qQ|tTxz&Q{dkkajY63lbOlVg zFwB?szka>atx{d!G`p#*jXxbpR|NIA4#Z@GKIbZ;6|fMD9E!${qnEp1Zb}(@`bN1B zox9+kT^`7Nv*)7d#cz{NmF$d7Zv4GLA`2{Z($J;y#2X?;6B!_1QJ3KW^^@0#)_&iN zAI4WNec6Vy+@Q6;U%fiQxB3k8{QbbiC)AD$S*%{V_>j`a!+Z4WqbE*iUs(LQ+6In# z@zD?Y$N?=r+G8zt@!Q2m7anLYUAg#(axQ$?hOdu4Y~tGf^--V7e|{lW;(xB8^bZ*9 z*-WNA7#l-gZFgYr=I&#%2kDD$KLHRQO~@)Y4u(ghL7k`}K}m-QW+2Bp-d^UGPDVli z(F~M;zsy2tg^3fpR5q@rND55yP~73xqQKJ?>jIf z(6ZD^4fqfWL@i9Xc_;(sh;QQ!Jryu}wJ$&b?~h_<6>OgH zwAa0`Rhu`rA3Z}W4qHX`KKGewkJ#qTn~#l$o2^*65xj@u^Po2@VgGu5nm%GL3)GX` z$;(p(kU)=QT?gQ?&iwLj&}|ka&Iyy81xR2qJK!8nqiegh?a}hJI7bDqnZw^a(H)Sa z78Vp3w1&?FLw>M?+#!GT1`1HP_rOc;O?&2R!zA0wFGIE`_gRnF z>h$Fsm{t&e^tD-fVX3kG1g;9I-`=LyNChr2wX#wRauTH)ZVy(IWh%R^#ni=Ojn1yr zbrzx#deZf7$u7uWMo`>A|JX!=@~*=1U^dt~<7L)D>?>r6x= zt|%A?*03J`gl}_uSOu#|+>vK_Rn+JRYFqODJIkBIhmlQdG~QnbpyE?KjX$ZsPDeB% zdo4?R{dieK##)xu*WW~U=#gr56EYBuC@0VLmvOu4A3jN5c&RxpRQ+G3eEt975gx~L zYK_j{L~99nJAEAMHssl~x_(!73}X8PWfGEe421+<<0Ab0&!FN+k_K>fBZ*FV#>noe zS-ZKoGUhTEpQrP)aarNPKXt>`(>dV^6`&bjynIQpDW;=4AOIBL5bmA`sNh&53iWC+ z*m z$0lSZ|@qj`_O$A*ZsIszT1eAmEA*wXPWFw|$dm~3s zx+4-Ps<)}LOneBF9~*tEgwOTy3@`!&+kQ7&F=?DQs}Mb_8z4^Y&)j=C3XAlQ#rcy$ z8$=(J3WUi#86v{MswksFzDcFm*DRfl>1FXN;K@QOeT~hES2oUxW;dSZx3atfEcx3=n0zQZ?l7{JWQ`G5`OrOA^qrHdXgHJHAtlpi*EQRC?)K=(jAR8J|wYmjZSQs4s>B?$OWh3>3yX#f{jnVfG(F9vZ$ zsM92m#^$i~G7uks*Rhj_i7Jw6qUcCkHO_DRco@OjNXu5IBYpAm~7$2_X+d~@-BNvd{fVmc6 zfy+P*0KMtkREmFYxwWJ}M75DBJ-1>S ze2qHsl)xDay*aJCUUI6X=lS&lG`6QQ_Xlhrot0XzP4>5bR*FZgXrh!IE{U7Jcj?Nr z#6?X_f4kA@29miXFZ2m=N!zNswIa-aqs?8Zo?SUG0wg~C%Szd233e%WrbpUFa9wc( zHYbAva>S<>SWx7Cq}%Jx4v+sg*kaoD=h(|p>()&wXz_@wTsi3mp`v~fy!&Imz4Qd2 zCVXbWf(i^rtpu204&7xWA=JhlI)=t+N65~V9if>s>W4)BIonzxeCwDL*fBPtXct zh}%A}p4*+b&iFDG>cQed*^q^r$3mT6yc%)^eZFhOSUcm^inu9@-;+O$fo!tneY{mr z#ArMN?v+rQATZ@4%)NV%s4T|FGGLhD=tHtmD0|@V{z`NzrZIQYn5#fMpQ5J&0-~=j zMJa-i6<~qU`s+S(Zeh9&d6Z-kzB!j}Mj+UR!%&R4H7^*WpiPh$_BInf<2c%Ao|FYC zPn6?_2ay+Vm_0F#jmRo2Jd7p}s>(OD?m2GnK7b=RbeK7E&9(QFBDVtdVDLt<(8xI@ ziJsn*!NMZ9AJbvr_A%Atl2-iOH(SGteX!L~f0F)Q1J$m~fvE%tgmgHgc&Nj@Zij^6 zYP+0eQBC6&BeF%fnMJtEUB`=8mrSt;5P31;AUm>*Pe{-aU*fw{`}9w`TD5y z<65?~-{^Cnk^Zq`?Tcsw$2!Wh#v8g?n`oUKeZ<&4+~<(CRDBuYq`O!0{LO`Xv%XNuKo z%)F#EQq#{hAt~R!{a8soX57No(8xJJUAJeLj>pRaCh9bQMzOR#!n^RM0VO1p6hTCl zhH9q^4Ahpog$IWUiiB^YVnT?mW- diff --git a/recognition/OASIS-ImprovedUNet/train.py b/recognition/OASIS-ImprovedUNet/train.py index 82a2e4413..08e2f325f 100644 --- a/recognition/OASIS-ImprovedUNet/train.py +++ b/recognition/OASIS-ImprovedUNet/train.py @@ -9,7 +9,7 @@ # CONFIG device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') BATCH_SIZE = 8 -EPOCHS = 15 +EPOCHS = 35 LR = 1e-3 # Data loading: update paths as needed From 5f855cb42efe121d4b2a61724c7034e858eda0cc Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Tue, 2 Dec 2025 15:18:53 +1000 Subject: [PATCH 16/18] Delete scripts/__pycache__ directory --- scripts/__pycache__/load_dataset.cpython-312.pyc | Bin 5567 -> 0 bytes scripts/__pycache__/vae_model.cpython-312.pyc | Bin 5504 -> 0 bytes 2 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 scripts/__pycache__/load_dataset.cpython-312.pyc delete mode 100644 scripts/__pycache__/vae_model.cpython-312.pyc diff --git a/scripts/__pycache__/load_dataset.cpython-312.pyc b/scripts/__pycache__/load_dataset.cpython-312.pyc deleted file mode 100644 index d8a97884272a722b028730550b637cf8ad48ebbe..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5567 zcmb6dTWl29_0I0>!}~Og?X|J7$0)>Xz&3#Z2}vM4955lq7#rG^qUm_&?(S@6cb1u1 zh&M)BDyrBOs_ieY)d#3wso=w(RI1eWuTuN5?iyjHjS{K(;m^c;wE60}Gjn$gn5r3B z_i^sI=bU@q>%WG>0R&(C`@dzwEeQRKZ0P5=7aPA}5n4ndN+OXFT{4qoV0O!{ygTV; zEEt<)0mjOnyf^91`;tBr?vefZreu?i6UYaXAqKh7867u_uLkbWEeBKF3Q-M zb3M+Qu3mxJOV6DdZ@b4>J31$0Kj8M(67@Os=?ce0|2@|WoLXMNX{-A!ViUceZ2dv^ z0*!lZKj>btaWC#dxLpk4Rtg~&0?4Z@a*)2-nc*(gv#kY_MpN!B2ZyeJc2n*!-8r)u zp)^d4x1AHZx@RxU^P?2%%wklG(l=z>lv=VI@WZ$jci(TOr^y}@*7h8XGhy-PV7&lq z7q`K<3-?fpzeK-w(Y39sn2Etr=oT2;O^n`GVuW%ZIxnFsvE_b4vnHq4#5PLdH2P!| zq2z9$8_J!hH=J3Fi*dYLY%c?dMwv+?lpArd=nD7X-5s#WU8E3arg|4U?(d))v?+}_ zSack};PBY#D2up2eKJi9qo=0!o@AoF-L4DsWm#C~#6<$iTIuH?DVsc}V3WgD`lWI-cL1;7Prgfllfa;8C6g*&38;*_qa64v%{ zLa``MaRJ~}(12-PlH7w&+H{kqOQ>SuN!R1cFepzKz#lUPKr{okdBP z$RypOS9ITEpvJPdP|_oMVDy65`wZgoHkb0h0~~y({+EXl|0IH&QLvQ<512H}!3+vZ z=~5vJ3edr2h$Gsj>eCwTOB_tf7iA3A1uPOgwjD(-kM*n~Y9>i=6vF)_*A^PiJw;vH z@odX~RSf1W5Yl;002bgzimF-Sj->21!qi_AjAXy@HWZ~rG|fyS-aH_~vSQSn(5k^sobLL(>(~O5xte3iSB7;bD{bv zGsUJ{jLGRbN_ff}rpbs)4HqO`A_)aIB7h`VGXw?5c`~FE2!w)eCq5^0S@t0`8pKYh z8SQ9eM~-X)dmxAtN4Ze}0vjBKrn{-FDL+S{;Vj&qlpxC_=J#<*k)%IC2AbnEO%lRZ z>VyRrAmN#LtU;{I4ipO+l|*8>XGD3qqQgTBKQ4$G(U-v%;e7_1Q>237wUVgemT|!dTo&XK9#U0BO|S;5VL7dm-drXA zWiV+Cns7wa_5JO^2@Uf1pdw36Lg~6?01i2qFTLVc;sZvqb21x+(Bng5G3>2pfKhHzC z(|NwU-N{7*6xa(wYhS=nLF>&ZzH^4X9bD_!1ykhPwyr;@e=PsL{Fm2Pk6*0s%&r{2 z_@K8oarw~%zcRtsev*DTk@?l+oy=0^j=Us)d3gEFhuw#2$1kqz%+}i^Lg|?og`zY1 z+~>2O*MptatA7u2|BQ9jdX7D~_8?o^d8QsaTMM0CccW16f4=jfZi&%|Ht)5ajQjuW z+67~(kqZD$vWA&C_Q7Hi>5a2#l%vTRPUv^fKEH$#OnL8EBSCS6QhpM&4qbv>CBbV* zPNZ5(xKt9hY7B-1qmq!+2rW*H!)W+;9vlJ`8hcKmChP#g-3CJieH)F)olPL zN%@6uy3s|$O&2K9RsOmWi04U}AZ5kQ`vONgHz?(%Mmgw{h(a^q@6dY{MEu$Rm1!jL zGj5Mm&>dihQYXZ%Zbo{-ZTf@Z23cXqXEcHil32bGQ+JSI7Yx5cCLQwyDk)v&Ks-w$4u15B`&7SSn9fDr& z92gjczfZ9$XgnlnUXvwg=FK!@w7mp|WDME0<0bets9_L;*l2y}2)c8<9ELjKB>1v# z=rc&)+VOM6(@#jDABP4rU^eYM zxn=mYY$=_V@rQ{4^>sK`!{oAibojjGa30fHjb_VdOS&X$10*4-gq=znAtPv>U6V+I zu9Bw3*p?UcqO9n$Gzqz$tPHO`yNj}J8Iwq3_@K-YFED(uCl>n&+;}UYX-(`Rdr6 zD@#}I@JsxcKdSFMTn`_q1R%!4(YZ6TXXY-W=@`! ztMAlaf4?3%RtY}!BF0-$=BHQDYmbqqBF)DZ;|uY{?uG8Vq58J|RWz_3K;fR5bB{vZ zE1~W+wzYEZ5!<@Lw$5kjEbQZCA75ePb+%)TZ6~|-6}G+FcDJq0?pgP-oNEKIVRxnJ zX$#ucS$%K$oz>>|E8)kH_G-`a@G6nwakQhlce!IV`fep;N>uajSUOm}QSa=p?HH(e z2UpR4kgn$MTDo+%v%a&x*5yEFA`4pey?T64tu0aWzOjn-u7?m4thm1j+ziYgdWbq6 zH$`Ty{-V8dVvUVfPJQvw&5!1p`QG^x^TNWZRkr;bHUiLdH_y%7s9s!&_B@LAtwj6k z(ZsU%A$w$v4Z-Qzn`dVxes*EK2?b)H5T*&p`)~Sh1)fGw^Nwo&^2tB3tI?rK=y5n+ d4KBML46TMwRs!UaUCX;3;MK_Kn?cim{tHVMcj*8C diff --git a/scripts/__pycache__/vae_model.cpython-312.pyc b/scripts/__pycache__/vae_model.cpython-312.pyc deleted file mode 100644 index 539dded6c07b109f8b6ae5d89b8b144985ca1ba3..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5504 zcmcIo+iw)t89%eLH;>2b*nxmaVvcbWyulajBu!gblK8uU=bv6z{+G{))B2ZyGz^dz)loac+W!}3mrGf6sq{>Im&V+Gx0Hg$@OnykWsm&u%Yi(jN_+ge(%I92IWx0Ezy>vJa4sAEx& z!@TYk>B%$Gbe5~SN$tF9QoW?kF?$q5U=#$UdCRnQ+p(!tpfDXC!YQf_%$3TV**3E! ze;L(H;H^?ab(rZ;yR7CJa zMKzFy>$4SfhJa~!{5fVa4%)K8tn=Z~XBVigmdb{1&QVl@C-q~Jfr~Ixoi$+XtObT_ zQzGo+i576jE}R{A0BesJ`b8FO6-Wan3T4-;o|z~JoChB>KtCY)N#)Z z0ksN8IURH%Xh>@qSEurRbosRybRHgr#xEgpFaimK&V41Y2*@G z9O`79ToH1qvm~2zMR3IG*Aj*DBo9XkxA$aknOAvHg+9G0aw_1y=;fC!!!r;>n4vD9 z5s@eQOXvV-Y&fQAmo1xl9G|)@F!3-gsTWa0xkE1@nASrqJ z%0P{pdw31%UkSH~;|*iwM07QBqmz);U`8NLDkR!2@wUx+Nj{|YznH=`QHyKBYQi6B zqn9_+VlUjajcPltF)i_b;0l+;cjSut-BQ96tp-}G5hc35+D_TKWf^p}R80u46j&AM z;eT2Mmh{WhSJeb9)wWk;nYLAt)FDUknGMg_voRXB!1n2oXB*`<7bocbyV`R*u8HsL zd)sk^4D&=U=?~Ao@!iJ$5dc}}$V$~4UYKGcnl^RFgoa*aUXH-DQo<|U4`if>NDuKj zdot?bl%LBLxOnIgT$$NPdNjO)!b_?>-EX{7+c@rIi`0!eW~bK_^&%y~EU zE=UBox|<5pp_`lmWTJ96QOGN$irWDn!=zemBI9*p%T#t?P)N}qeZfwAsv~I^EcnPmmavE9)#}hJ-4sk zy1JeuUERymOVc;iMsMT&rqCR3$*+7VXO@pG9lJigo(`vH8~Yk+v!{8eCBM4u^kCys zbD;TtOWwaR?J+;GbmIEV!@=I&Qa%2$ygor**nRuMTOT&&SESa?*I`WhvhT&aeRukr zZ>^kY^}PinnRS`$dC41_T$vBXzS-4>5`P1-%`D9{dKy1z$wQuipUeICT zjIXFI`QT<50s`KgXkJ5nz3DW>~nW|y5M^I1G!Q&ib!N+{3hDw!T3W&X=W`_Ye_;f6s zJUBd_^)Q}?NMOg(MvAG@AJI~U9`IMw*C;F7x?!2XrU(!&?9z|usUhSOohWK}Pzi8L z@bZX61bCeXz`q3y0;Wfth#+Twf{3_^C~R%NcZjSe2qiy-t60R4P%^c)~^ zi$h{Oi7-0=?m(F5xY7MRuj^N{|UPQ$aAEP4Jh2%8fx9O$Iqsv>goy%eIYJ%sU~c zNR-(G)>*X|^Uvn7p97u!1E?Sg?IYbgmh~mQAvOwk9;qKx0YOG&}H{u}t)h)NVFl4^T@tbhYf(xJ8|Ak!58Ar0>j$Roa2ZRUx5N7|o_(V9tmEO?h{ z;X@IL+sg>B-H6Wr7MZwmBoJbfZVkw%tP&(7QZxB8o6tLJ<5^?WYxy(jN&#+vW84+pj>QV?KN3~bAaa;c&k z!Awd~G%K$t9`5kffDdZ7D*#D(cwH(=R^WT_EEtLJcn9`?o>!qJZTM40J~!k49R%6kAIWy}H<802RBqZ&rl!fev73ZH#^CV2%o8}0@bH$K@bV=e z_J%x1Z?kox41Yp60BkX!eoOpQP$W(N(AVbM{2l0`QtVHldLRmd@NFz3#2->3bp4g= zT#p}*3481Nma|LQb%N~&xj2c-_39tRzQ4)cjfwkm|Kija>F4W-<<6zfn}=>*0)RH# zN)Id^`Zh`W`Wxz}>3i{=i&OQ9`ehhNNcGXiz}@|K_TP{1`%ApzGl@1|`OSe}AGjYM Y^|~)LX73j76#o?8|6mu1@A0Jm54=$~^Z)<= From 3109ae952767c66b08a90600bbe183a470345fc2 Mon Sep 17 00:00:00 2001 From: Oliver McCarthy Date: Tue, 2 Dec 2025 15:19:12 +1000 Subject: [PATCH 17/18] Delete recognition/OASIS-ImprovedUNet/__pycache__ directory --- .../__pycache__/dataset.cpython-311.pyc | Bin 1244 -> 0 bytes .../__pycache__/modules.cpython-311.pyc | Bin 7668 -> 0 bytes 2 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 recognition/OASIS-ImprovedUNet/__pycache__/dataset.cpython-311.pyc delete mode 100644 recognition/OASIS-ImprovedUNet/__pycache__/modules.cpython-311.pyc diff --git a/recognition/OASIS-ImprovedUNet/__pycache__/dataset.cpython-311.pyc b/recognition/OASIS-ImprovedUNet/__pycache__/dataset.cpython-311.pyc deleted file mode 100644 index d7891662ce2e4617d704ba4cc91c4b6672420b60..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1244 zcma)6O=}ZD7@qyireT{Jgf=A>MGKA6ZfivgO$&kuMW{#+OHjhLJB?HKi`}iXb%Q}X z6e*a4prD0#sY?ANp0bcb7$_*xgSS9$Jvp;6X`8m#cXr-+pJ$$V=WBPr$Z{7T_W31) zUax(X|{8 zYM3wR);#9ckc}hAPzw-QSVV>cRSk=(Z9`MTtZ8Gx_0)xD=`I`%Re23LII64jP!Gdc zlU+nQbaAZ7HvvgTvbtCdNf%4VDCB7umh^eO83~~V3rz`q;V-sr|AF$Y;@Rx3s%8I9^al=P0>U&NKbZlZ7V{HJ6ERWDCApCFm3B{M-{s+O24-P`$3|4%ty zx?87iXW&xh+SeDsz+`P;vH^JELg)gie_bjM?ez4%>;AA3^bFN{hSr4+SeLrr%5UT{ z45U;|N>!!QafXn)a(rX1yjU5l%7cMCSd$0Iv?p-&*tzn}_30{~+#{O=X#or7vSF_} zF@hZW7jPu%=vjONPLjsG#O+HN!_t;@IPIheq#wMSA+EtO3{wY*YU`XZ67`rCW#33}r=?@9eZL>{DLy1Vz#FP+{ly2*|9s_QS?ar8z zP_yD8Qk@8?v|<&finQLBlqh*X`;>jlN~=}(Z5&yuH4@TFt7^p?5j?E=wCCKh$7373 zM4M~o%$+;u{?7T%`R?UMyWK`0-Tsk@bnhYLU-(c;Trsm*fXp2t5P^x3arMqjv*Rp7 zSTaNe_9hVwVfG6{sp5UeJ=C7Yja17BT3j71j%t}e%UnmxM71oSWv!!Srdl@8YN(@S z5tvcpb=)X$H_14cCfAv9 z6SQSkY=iNc&!gcF;<2yhJY9J6zSr*^@T0sCJ~!s`9`^S5|NX;VO#e6$Dy=d0$`^ay z{2N2aADBBN3HMUE51EIh2a?sj(F#eW4ntA~iA}NdhNP~S@>i-THI`aQF)4$<2<#)n zeJFdVl~-tM?WGL&VI&W=(Nt)eN^J_pM_e5}b4f2{tfQrkBxOj!ci8m^**b0h-y^(l zf!V{QrW6Tid4YgEnEdN#O6#~jK2~YC78YaSXh4e0g%xumCrql)}*or6CdvgrSs-f``z`aL`Dcsg zsl}7C?9E&D%9gzaN81KrtX+k+SJUU#+Fri*-WtDW@yyb-?D5AVKQS_YHpidM^JlTt zpE;i6yYhS&J`80BW&S{pKal4S;Pcs~*&M$=&+k|3N3-W12Y+gk`44mahk5?P-PeEC zWNo)?5fEu(-r|wz-zLm~gjkftgoc6F=IbEtkQB+ny*8zoO8Xrp4;a6X5nDj@0V}%T zrZCqfY}xA-+wjpm5f^8JqA=I2ThU?}>Pv1A3#8z1{_NQQ)UiLy-Z8rZ!6q@F4J^tcyV}*cQ1Vnz{w!M?^vRQs%juzRFR~y4(J#yks|4JnEQ)BQpzA6tH6zhCgd7|;gPWt z8-NB4Sv5#v1ZEDPkwV@BT4fehjiHJj%RGol6`o1KC@rM zh@)6OkAMpc2gQp%gTmv|hXWJAP%c znUp>LoX4N{_)B$FH=@}Q3>6oTTJ7J#YIh&==fOMghVcswx=%HwnCGoAXCq`Dxb?2; zvCrL;t_JPNnAEJ8kn*l1t1B(dg~lgi2~(+J4qL&!3PqZsl*7_VV`b!;XY>gDLW^P$ z^O#8$+kn<`q?_k}jcI5sj{^Fu+Q&c?UyiI3IW710YCWg@PUJvD^b z02jpof`LZ*D+nNX_NH$y-@d$b;npXMpQPD;Ha6cee{cTIx@^rHSmrb0A7_7?|W+Bml3n4R!07Gc9na~J!$%jEq7#~(CMox*)TAj zgUmC+>^a43QJH3c;hTV;ip9ie! z{I?HwJupuZMJLYs3Wy3C*(n=4H&`<_%xsXlvf0A5Z;*OI4SCpA2rexl|G~701JEB7 zP#VeHw7_uz9FL3}=@9{kq)9Ok&m_?shV-5RV;l7h3y^sc@vI`UXgwj%gNRba^YpQd z?pqE1q9s#z@8hc6yx0hXR1MZx?Zzo7Lkt6VThO`g#^S6s|Bc{~-U6|s|6XfxFQ3U= zTRHw@L~a?%wG8E3hSJ7GYZ`v4Z!Il9v_e;puHf_Tr%DtJ0k{K2bCd>O1X(|*O3fhX zE@~UAHHinYHM9!x6%o@WBnArq;ofl!rV6!BkeQEI7Bv2YT_b*QNDBxeUmacjKB<@d&33!%aTWxgcG*xKBs%)!`@x4|XP6@ZwhDfC*;GV2tiZOzD zo~!7G6D%pN$RulLqV3<3X2W;GZ&N)s^ebvF2%lmCZMHI=!#79p(M0`~)xZ8eJW-Ciz5uy(0t71p$J2z8 zUFyvu1iJG%%f3vp=?=uKkjJyGuq09@3c5rwL}DSjnSu}uJI|x)4dXIA^{Tf%8h{kT zOyVet9u&PO`Y50kBb>B_U~`NoFXBZMV<Qt?qh}Mc}Tt(s{b{nA1Gy0O(5H zFwq@7Xkl+BI7~;OwF7Q@3LY=q?7ui)&U~@bu{tR``*Y6zyt5xlEo-jUOh+cP^0w^i z&AEE>u3jj$Vd=q)v@#^S`f{$mysK~L(t>-R-1N#)(^6CRWZIxi4 zI+1ssptYT@B_Z=c_BVIWue|g4vg|ySbDqjOPtj4pyHKV#d+6?aD_xI=WanVcIhc12 z?(SVr=KAVOvh!HZc`WZdM(eb+Wd^d=T+88n%V8+kA$H)$MxV0z=jY?);ET3r%V4q4 zQu$mQcs0ptJ`8%&QuPV?yb&}t|E8%yruuZ8vQ!*-O{!+8^CoChzkAkdq)ea-fH-hA6#!Krf7UJl9VJII>jXj zmDU`9lDU=&WESZGqFnkBgv!CM+`h6DR5>_O^6}f_8TQs^i=U<0=X>NEzde2X^wNb) zbB=G%^X)*Hi$x>QARKS)s-Verr}g{R%+c@Km)p~(g2R=ztNh?J3|Ksmq6^0l_FFow z9mYZwC-FrMJ89%z+aNoM&IZoCLFx&$cWmBg715_D7P>8ZGZs^~O{VkoKLzwSfqG-= zajAEuqk2HpCh+k4SIcqrn7Ut#z#~pVGJ%AR2*VTzzd(Nl;*u->HjK>-oF~_crRL?< zXIQ>fe%WPX;Bc%~qRJ;U;?@=K4C0d`g^(#?y|E|hPTUmiB0Zmmdvz8HCi Date: Tue, 2 Dec 2025 15:41:24 +1000 Subject: [PATCH 18/18] Move OASIS-Improved-UNet into new directory --- .../OASIS-ImprovedUNet/dataset.py | 40 +- .../OASIS-ImprovedUNet/loss_plot.png | Bin .../OASIS-ImprovedUNet/modules.py | 190 ++++----- .../OASIS-ImprovedUNet/predict.py | 108 ++--- .../OASIS-ImprovedUNet/prediction_0.png | Bin .../OASIS-ImprovedUNet/prediction_1.png | Bin .../OASIS-ImprovedUNet/prediction_2.png | Bin .../scripts}/load_dataset.py | 0 .../OASIS-ImprovedUNet/scripts}/train_vae.py | 0 .../OASIS-ImprovedUNet/scripts}/vae_model.py | 0 .../scripts}/vae_visualise.py | 0 .../OASIS-ImprovedUNet/train.py | 166 ++++---- .../README.md | 370 +++++++++--------- 13 files changed, 437 insertions(+), 437 deletions(-) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/dataset.py (96%) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/loss_plot.png (100%) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/modules.py (97%) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/predict.py (97%) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/prediction_0.png (100%) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/prediction_1.png (100%) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/prediction_2.png (100%) rename {scripts => OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts}/load_dataset.py (100%) rename {scripts => OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts}/train_vae.py (100%) rename {scripts => OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts}/vae_model.py (100%) rename {scripts => OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts}/vae_visualise.py (100%) rename {recognition => OASIS-Improved-UNet-s4802308}/OASIS-ImprovedUNet/train.py (97%) rename {recognition/OASIS-ImprovedUNet => OASIS-Improved-UNet-s4802308}/README.md (98%) diff --git a/recognition/OASIS-ImprovedUNet/dataset.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/dataset.py similarity index 96% rename from recognition/OASIS-ImprovedUNet/dataset.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/dataset.py index 7435b4cc9..0d7f5f9c4 100644 --- a/recognition/OASIS-ImprovedUNet/dataset.py +++ b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/dataset.py @@ -1,20 +1,20 @@ -import numpy as np -import glob -import imageio - -def load_oasis_data(image_dir, label_dir): - # Sort image and label files to ensure corresponding order - image_files = sorted(glob.glob(f"{image_dir}/*.nii.png")) - label_files = sorted(glob.glob(f"{label_dir}/*.nii.png")) - - images = [] - labels = [] - for img_file, lbl_file in zip(image_files, label_files): - image = imageio.imread(img_file) - label = imageio.imread(lbl_file) - images.append(image) - labels.append(label) - - images = np.stack(images, axis=0) - labels = np.stack(labels, axis=0) - return images, labels +import numpy as np +import glob +import imageio + +def load_oasis_data(image_dir, label_dir): + # Sort image and label files to ensure corresponding order + image_files = sorted(glob.glob(f"{image_dir}/*.nii.png")) + label_files = sorted(glob.glob(f"{label_dir}/*.nii.png")) + + images = [] + labels = [] + for img_file, lbl_file in zip(image_files, label_files): + image = imageio.imread(img_file) + label = imageio.imread(lbl_file) + images.append(image) + labels.append(label) + + images = np.stack(images, axis=0) + labels = np.stack(labels, axis=0) + return images, labels diff --git a/recognition/OASIS-ImprovedUNet/loss_plot.png b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/loss_plot.png similarity index 100% rename from recognition/OASIS-ImprovedUNet/loss_plot.png rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/loss_plot.png diff --git a/recognition/OASIS-ImprovedUNet/modules.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/modules.py similarity index 97% rename from recognition/OASIS-ImprovedUNet/modules.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/modules.py index 9a31b6b94..f41ebeef9 100644 --- a/recognition/OASIS-ImprovedUNet/modules.py +++ b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/modules.py @@ -1,95 +1,95 @@ -import torch -import torch.nn as nn - -class DoubleConv(nn.Module): - """(Conv => BN => ReLU) * 2""" - def __init__(self, in_channels, out_channels, mid_channels=None, dropout=0.2): - super().__init__() - if not mid_channels: - mid_channels = out_channels - self.double_conv = nn.Sequential( - nn.Conv2d(in_channels, mid_channels, kernel_size=3, padding=1), - nn.BatchNorm2d(mid_channels), - nn.ReLU(inplace=True), - nn.Dropout(dropout), - nn.Conv2d(mid_channels, out_channels, kernel_size=3, padding=1), - nn.BatchNorm2d(out_channels), - nn.ReLU(inplace=True), - nn.Dropout(dropout) - ) - - def forward(self, x): - return self.double_conv(x) - -class Down(nn.Module): - """Downscaling with maxpool then double conv""" - def __init__(self, in_channels, out_channels, dropout=0.2): - super().__init__() - self.maxpool_conv = nn.Sequential( - nn.MaxPool2d(2), - DoubleConv(in_channels, out_channels, dropout=dropout) - ) - - def forward(self, x): - return self.maxpool_conv(x) - -class Up(nn.Module): - """Upscaling then double conv""" - def __init__(self, in_channels, out_channels, bilinear=True, dropout=0.2): - super().__init__() - if bilinear: - self.up = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True) - self.conv = DoubleConv(in_channels, out_channels, in_channels // 2, dropout=dropout) - else: - self.up = nn.ConvTranspose2d(in_channels , in_channels // 2, kernel_size=2, stride=2) - self.conv = DoubleConv(in_channels, out_channels, dropout=dropout) - - def forward(self, x1, x2): - x1 = self.up(x1) - # Pad x1 if necessary to match x2's size - diffY = x2.size()[2] - x1.size()[2] - diffX = x2.size()[3] - x1.size()[3] - x1 = nn.functional.pad(x1, [diffX // 2, diffX - diffX // 2, - diffY // 2, diffY - diffY // 2]) - x = torch.cat([x2, x1], dim=1) - return self.conv(x) - -class OutConv(nn.Module): - def __init__(self, in_channels, out_channels): - super().__init__() - self.conv = nn.Conv2d(in_channels, out_channels, kernel_size=1) - - def forward(self, x): - return self.conv(x) - -class ImprovedUNet(nn.Module): - def __init__(self, n_channels, n_classes, bilinear=True, dropout=0.2): - super().__init__() - self.n_channels = n_channels - self.n_classes = n_classes - self.bilinear = bilinear - - self.inc = DoubleConv(n_channels, 64, dropout=dropout) - self.down1 = Down(64, 128, dropout=dropout) - self.down2 = Down(128, 256, dropout=dropout) - self.down3 = Down(256, 512, dropout=dropout) - factor = 2 if bilinear else 1 - self.down4 = Down(512, 1024 // factor, dropout=dropout) - self.up1 = Up(1024, 512 // factor, bilinear, dropout=dropout) - self.up2 = Up(512, 256 // factor, bilinear, dropout=dropout) - self.up3 = Up(256, 128 // factor, bilinear, dropout=dropout) - self.up4 = Up(128, 64, bilinear, dropout=dropout) - self.outc = OutConv(64, n_classes) - - def forward(self, x): - x1 = self.inc(x) - x2 = self.down1(x1) - x3 = self.down2(x2) - x4 = self.down3(x3) - x5 = self.down4(x4) - x = self.up1(x5, x4) - x = self.up2(x, x3) - x = self.up3(x, x2) - x = self.up4(x, x1) - logits = self.outc(x) - return logits +import torch +import torch.nn as nn + +class DoubleConv(nn.Module): + """(Conv => BN => ReLU) * 2""" + def __init__(self, in_channels, out_channels, mid_channels=None, dropout=0.2): + super().__init__() + if not mid_channels: + mid_channels = out_channels + self.double_conv = nn.Sequential( + nn.Conv2d(in_channels, mid_channels, kernel_size=3, padding=1), + nn.BatchNorm2d(mid_channels), + nn.ReLU(inplace=True), + nn.Dropout(dropout), + nn.Conv2d(mid_channels, out_channels, kernel_size=3, padding=1), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True), + nn.Dropout(dropout) + ) + + def forward(self, x): + return self.double_conv(x) + +class Down(nn.Module): + """Downscaling with maxpool then double conv""" + def __init__(self, in_channels, out_channels, dropout=0.2): + super().__init__() + self.maxpool_conv = nn.Sequential( + nn.MaxPool2d(2), + DoubleConv(in_channels, out_channels, dropout=dropout) + ) + + def forward(self, x): + return self.maxpool_conv(x) + +class Up(nn.Module): + """Upscaling then double conv""" + def __init__(self, in_channels, out_channels, bilinear=True, dropout=0.2): + super().__init__() + if bilinear: + self.up = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True) + self.conv = DoubleConv(in_channels, out_channels, in_channels // 2, dropout=dropout) + else: + self.up = nn.ConvTranspose2d(in_channels , in_channels // 2, kernel_size=2, stride=2) + self.conv = DoubleConv(in_channels, out_channels, dropout=dropout) + + def forward(self, x1, x2): + x1 = self.up(x1) + # Pad x1 if necessary to match x2's size + diffY = x2.size()[2] - x1.size()[2] + diffX = x2.size()[3] - x1.size()[3] + x1 = nn.functional.pad(x1, [diffX // 2, diffX - diffX // 2, + diffY // 2, diffY - diffY // 2]) + x = torch.cat([x2, x1], dim=1) + return self.conv(x) + +class OutConv(nn.Module): + def __init__(self, in_channels, out_channels): + super().__init__() + self.conv = nn.Conv2d(in_channels, out_channels, kernel_size=1) + + def forward(self, x): + return self.conv(x) + +class ImprovedUNet(nn.Module): + def __init__(self, n_channels, n_classes, bilinear=True, dropout=0.2): + super().__init__() + self.n_channels = n_channels + self.n_classes = n_classes + self.bilinear = bilinear + + self.inc = DoubleConv(n_channels, 64, dropout=dropout) + self.down1 = Down(64, 128, dropout=dropout) + self.down2 = Down(128, 256, dropout=dropout) + self.down3 = Down(256, 512, dropout=dropout) + factor = 2 if bilinear else 1 + self.down4 = Down(512, 1024 // factor, dropout=dropout) + self.up1 = Up(1024, 512 // factor, bilinear, dropout=dropout) + self.up2 = Up(512, 256 // factor, bilinear, dropout=dropout) + self.up3 = Up(256, 128 // factor, bilinear, dropout=dropout) + self.up4 = Up(128, 64, bilinear, dropout=dropout) + self.outc = OutConv(64, n_classes) + + def forward(self, x): + x1 = self.inc(x) + x2 = self.down1(x1) + x3 = self.down2(x2) + x4 = self.down3(x3) + x5 = self.down4(x4) + x = self.up1(x5, x4) + x = self.up2(x, x3) + x = self.up3(x, x2) + x = self.up4(x, x1) + logits = self.outc(x) + return logits diff --git a/recognition/OASIS-ImprovedUNet/predict.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/predict.py similarity index 97% rename from recognition/OASIS-ImprovedUNet/predict.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/predict.py index 56d5043c9..dcc5490eb 100644 --- a/recognition/OASIS-ImprovedUNet/predict.py +++ b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/predict.py @@ -1,54 +1,54 @@ -import torch -import matplotlib.pyplot as plt -from modules import ImprovedUNet -from dataset import load_oasis_data -from torch.utils.data import DataLoader, TensorDataset - -def dice_coefficient(pred, target, epsilon=1e-6): - pred = pred.int() - target = target.int() - intersection = (pred & target).sum(dim=(1,2,3)) - union = pred.sum(dim=(1,2,3)) + target.sum(dim=(1,2,3)) - dice = (2 * intersection + epsilon) / (union + epsilon) - return dice.mean().item() - -device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') -model = ImprovedUNet(n_channels=1, n_classes=1).to(device) -model.load_state_dict(torch.load('unet_epoch15.pth', map_location=device)) -model.eval() - -test_images, test_labels = load_oasis_data( - '/home/groups/comp3710/OASIS/keras_png_slices_test', - '/home/groups/comp3710/OASIS/keras_png_slices_seg_test' -) - -images_tensor = torch.tensor(test_images, dtype=torch.float32).unsqueeze(1)/255.0 -labels_tensor = torch.tensor(test_labels, dtype=torch.float32).unsqueeze(1)/255.0 - -# Use DataLoader for batching -test_ds = TensorDataset(images_tensor, labels_tensor) -test_dl = DataLoader(test_ds, batch_size=8, shuffle=False) -preds = [] - -with torch.no_grad(): - for xb, _ in test_dl: - out = model(xb.to(device)) - out = torch.sigmoid(out) > 0.5 - preds.append(out.cpu()) -preds = torch.cat(preds, dim=0) - -# Compute Dice coefficient -dice = dice_coefficient(preds, labels_tensor) -print(f"Dice coefficient on test set: {dice:.4f}") - -# Visualize 3 sample predictions -for i in range(3): - fig, axs = plt.subplots(1, 3, figsize=(12, 4)) - axs[0].imshow(test_images[i], cmap='gray') - axs[0].set_title('Input') - axs[1].imshow(test_labels[i], cmap='gray') - axs[1].set_title('Ground Truth') - axs[2].imshow(preds[i][0], cmap='gray') - axs[2].set_title('Prediction') - plt.savefig(f'prediction_{i}.png') - plt.close(fig) +import torch +import matplotlib.pyplot as plt +from modules import ImprovedUNet +from dataset import load_oasis_data +from torch.utils.data import DataLoader, TensorDataset + +def dice_coefficient(pred, target, epsilon=1e-6): + pred = pred.int() + target = target.int() + intersection = (pred & target).sum(dim=(1,2,3)) + union = pred.sum(dim=(1,2,3)) + target.sum(dim=(1,2,3)) + dice = (2 * intersection + epsilon) / (union + epsilon) + return dice.mean().item() + +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +model = ImprovedUNet(n_channels=1, n_classes=1).to(device) +model.load_state_dict(torch.load('unet_epoch15.pth', map_location=device)) +model.eval() + +test_images, test_labels = load_oasis_data( + '/home/groups/comp3710/OASIS/keras_png_slices_test', + '/home/groups/comp3710/OASIS/keras_png_slices_seg_test' +) + +images_tensor = torch.tensor(test_images, dtype=torch.float32).unsqueeze(1)/255.0 +labels_tensor = torch.tensor(test_labels, dtype=torch.float32).unsqueeze(1)/255.0 + +# Use DataLoader for batching +test_ds = TensorDataset(images_tensor, labels_tensor) +test_dl = DataLoader(test_ds, batch_size=8, shuffle=False) +preds = [] + +with torch.no_grad(): + for xb, _ in test_dl: + out = model(xb.to(device)) + out = torch.sigmoid(out) > 0.5 + preds.append(out.cpu()) +preds = torch.cat(preds, dim=0) + +# Compute Dice coefficient +dice = dice_coefficient(preds, labels_tensor) +print(f"Dice coefficient on test set: {dice:.4f}") + +# Visualize 3 sample predictions +for i in range(3): + fig, axs = plt.subplots(1, 3, figsize=(12, 4)) + axs[0].imshow(test_images[i], cmap='gray') + axs[0].set_title('Input') + axs[1].imshow(test_labels[i], cmap='gray') + axs[1].set_title('Ground Truth') + axs[2].imshow(preds[i][0], cmap='gray') + axs[2].set_title('Prediction') + plt.savefig(f'prediction_{i}.png') + plt.close(fig) diff --git a/recognition/OASIS-ImprovedUNet/prediction_0.png b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/prediction_0.png similarity index 100% rename from recognition/OASIS-ImprovedUNet/prediction_0.png rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/prediction_0.png diff --git a/recognition/OASIS-ImprovedUNet/prediction_1.png b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/prediction_1.png similarity index 100% rename from recognition/OASIS-ImprovedUNet/prediction_1.png rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/prediction_1.png diff --git a/recognition/OASIS-ImprovedUNet/prediction_2.png b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/prediction_2.png similarity index 100% rename from recognition/OASIS-ImprovedUNet/prediction_2.png rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/prediction_2.png diff --git a/scripts/load_dataset.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/load_dataset.py similarity index 100% rename from scripts/load_dataset.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/load_dataset.py diff --git a/scripts/train_vae.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/train_vae.py similarity index 100% rename from scripts/train_vae.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/train_vae.py diff --git a/scripts/vae_model.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/vae_model.py similarity index 100% rename from scripts/vae_model.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/vae_model.py diff --git a/scripts/vae_visualise.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/vae_visualise.py similarity index 100% rename from scripts/vae_visualise.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/scripts/vae_visualise.py diff --git a/recognition/OASIS-ImprovedUNet/train.py b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/train.py similarity index 97% rename from recognition/OASIS-ImprovedUNet/train.py rename to OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/train.py index 08e2f325f..ca503a3c9 100644 --- a/recognition/OASIS-ImprovedUNet/train.py +++ b/OASIS-Improved-UNet-s4802308/OASIS-ImprovedUNet/train.py @@ -1,83 +1,83 @@ -import torch -import torch.nn as nn -import torch.optim as optim -from torch.utils.data import Dataset, DataLoader -import matplotlib.pyplot as plt -from modules import ImprovedUNet -from dataset import load_oasis_data - -# CONFIG -device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') -BATCH_SIZE = 8 -EPOCHS = 35 -LR = 1e-3 - -# Data loading: update paths as needed -train_images, train_labels = load_oasis_data( - '/home/groups/comp3710/OASIS/keras_png_slices_train', - '/home/groups/comp3710/OASIS/keras_png_slices_seg_train' -) -val_images, val_labels = load_oasis_data( - '/home/groups/comp3710/OASIS/keras_png_slices_validate', - '/home/groups/comp3710/OASIS/keras_png_slices_seg_validate' -) - -class OasisDataset(Dataset): - def __init__(self, images, labels): - self.images = torch.tensor(images, dtype=torch.float32).unsqueeze(1)/255.0 - self.labels = torch.tensor(labels, dtype=torch.float32).unsqueeze(1)/255.0 - - def __len__(self): - return self.images.shape[0] - - def __getitem__(self, idx): - return self.images[idx], self.labels[idx] - -train_ds = OasisDataset(train_images, train_labels) -val_ds = OasisDataset(val_images, val_labels) -train_dl = DataLoader(train_ds, batch_size=BATCH_SIZE, shuffle=True) -val_dl = DataLoader(val_ds, batch_size=BATCH_SIZE, shuffle=False) - -model = ImprovedUNet(n_channels=1, n_classes=1).to(device) -loss_fn = nn.BCEWithLogitsLoss() -optimizer = optim.Adam(model.parameters(), lr=LR) - -train_losses, val_losses = [], [] - -for epoch in range(EPOCHS): - model.train() - running_loss = 0.0 - for imgs, masks in train_dl: - imgs, masks = imgs.to(device), masks.to(device) - optimizer.zero_grad() - outputs = model(imgs) - loss = loss_fn(outputs, masks) - loss.backward() - optimizer.step() - running_loss += loss.item() * imgs.size(0) - avg_train_loss = running_loss / len(train_dl.dataset) - train_losses.append(avg_train_loss) - - model.eval() - running_vloss = 0.0 - with torch.no_grad(): - for vimgs, vmasks in val_dl: - vimgs, vmasks = vimgs.to(device), vmasks.to(device) - voutputs = model(vimgs) - vloss = loss_fn(voutputs, vmasks) - running_vloss += vloss.item() * vimgs.size(0) - avg_val_loss = running_vloss / len(val_dl.dataset) - val_losses.append(avg_val_loss) - print(f'Epoch {epoch+1}, Train Loss: {avg_train_loss:.4f}, Val Loss: {avg_val_loss:.4f}') - - # Save checkpoint - torch.save(model.state_dict(), f"unet_epoch{epoch+1}.pth") - -# Plot losses -plt.plot(train_losses, label='Train') -plt.plot(val_losses, label='Val') -plt.xlabel('Epoch') -plt.ylabel('Loss') -plt.legend() -plt.savefig('loss_plot.png') -plt.show() +import torch +import torch.nn as nn +import torch.optim as optim +from torch.utils.data import Dataset, DataLoader +import matplotlib.pyplot as plt +from modules import ImprovedUNet +from dataset import load_oasis_data + +# CONFIG +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +BATCH_SIZE = 8 +EPOCHS = 35 +LR = 1e-3 + +# Data loading: update paths as needed +train_images, train_labels = load_oasis_data( + '/home/groups/comp3710/OASIS/keras_png_slices_train', + '/home/groups/comp3710/OASIS/keras_png_slices_seg_train' +) +val_images, val_labels = load_oasis_data( + '/home/groups/comp3710/OASIS/keras_png_slices_validate', + '/home/groups/comp3710/OASIS/keras_png_slices_seg_validate' +) + +class OasisDataset(Dataset): + def __init__(self, images, labels): + self.images = torch.tensor(images, dtype=torch.float32).unsqueeze(1)/255.0 + self.labels = torch.tensor(labels, dtype=torch.float32).unsqueeze(1)/255.0 + + def __len__(self): + return self.images.shape[0] + + def __getitem__(self, idx): + return self.images[idx], self.labels[idx] + +train_ds = OasisDataset(train_images, train_labels) +val_ds = OasisDataset(val_images, val_labels) +train_dl = DataLoader(train_ds, batch_size=BATCH_SIZE, shuffle=True) +val_dl = DataLoader(val_ds, batch_size=BATCH_SIZE, shuffle=False) + +model = ImprovedUNet(n_channels=1, n_classes=1).to(device) +loss_fn = nn.BCEWithLogitsLoss() +optimizer = optim.Adam(model.parameters(), lr=LR) + +train_losses, val_losses = [], [] + +for epoch in range(EPOCHS): + model.train() + running_loss = 0.0 + for imgs, masks in train_dl: + imgs, masks = imgs.to(device), masks.to(device) + optimizer.zero_grad() + outputs = model(imgs) + loss = loss_fn(outputs, masks) + loss.backward() + optimizer.step() + running_loss += loss.item() * imgs.size(0) + avg_train_loss = running_loss / len(train_dl.dataset) + train_losses.append(avg_train_loss) + + model.eval() + running_vloss = 0.0 + with torch.no_grad(): + for vimgs, vmasks in val_dl: + vimgs, vmasks = vimgs.to(device), vmasks.to(device) + voutputs = model(vimgs) + vloss = loss_fn(voutputs, vmasks) + running_vloss += vloss.item() * vimgs.size(0) + avg_val_loss = running_vloss / len(val_dl.dataset) + val_losses.append(avg_val_loss) + print(f'Epoch {epoch+1}, Train Loss: {avg_train_loss:.4f}, Val Loss: {avg_val_loss:.4f}') + + # Save checkpoint + torch.save(model.state_dict(), f"unet_epoch{epoch+1}.pth") + +# Plot losses +plt.plot(train_losses, label='Train') +plt.plot(val_losses, label='Val') +plt.xlabel('Epoch') +plt.ylabel('Loss') +plt.legend() +plt.savefig('loss_plot.png') +plt.show() diff --git a/recognition/OASIS-ImprovedUNet/README.md b/OASIS-Improved-UNet-s4802308/README.md similarity index 98% rename from recognition/OASIS-ImprovedUNet/README.md rename to OASIS-Improved-UNet-s4802308/README.md index 28abb0e24..0090e457f 100644 --- a/recognition/OASIS-ImprovedUNet/README.md +++ b/OASIS-Improved-UNet-s4802308/README.md @@ -1,185 +1,185 @@ -# Improved UNet for OASIS Brain MRI Segmentation - -**Student Name:** Oliver McCarthy -**Student Number:** 48023083 - -## Introduction - -This assignment presents a solution to the problem of biomedical image segmentation, specifically segmenting the 2D OASIS brain dataset using an Improved UNet architecture in PyTorch. The task demonstrates practical skills in deep learning for medical imaging, software engineering in version control, and reproducible research reporting. The goal is to achieve accurate segmentation on preprocessed brain MRI slices while documenting the workflow and outcomes. - ---- - -## Problem Description - -The task is to segment anatomical regions from 2D brain MRI slices. Images are sourced from the OASIS dataset, with corresponding ground-truth segmentation masks provided. Accurate segmentation of medical images is critical for quantitative analysis in neuroimaging research and clinical diagnosis. - ---- - -## Project Structure - -recognition/ -└── OASIS-ImprovedUNet/ - ├── dataset.py # Loads and preprocesses OASIS MRI & label data - ├── modules.py # Improved UNet model architecture (PyTorch) - ├── train.py # Model training and validation loop - ├── predict.py # Example inference script + result visualisations - └── README.md # Documentation and usage instructions - ---- - -## Algorithm Summary - -The Improved UNet model is a convolutional neural network with an encoder–decoder structure optimised for semantic segmentation tasks. It processes grey-scale brain MRI slices and produces corresponding binary segmentation masks. The model is trained using binary cross-entropy loss with logits and tracks training and validation loss across epochs. - ---- - -## Workflow and Usage Instructions - -### Code Structure - -- **`modules.py`** – Implements the Improved UNet architecture components. -- **`dataset.py`** – Loads and preprocesses OASIS image and mask data from PNG files. -- **`train.py`** – Handles model training, validation, checkpoint saving, and loss plotting. -- **`predict.py`** – Loads trained checkpoints and generates segmentation predictions with visualisations. - -### Pipeline - -1. **Data Preparation** - - OASIS 2D slice images and segmentation masks (stored as PNGs) are loaded and normalised. - - Training, validation, and testing splits follow the assignment convention. - -2. **Training** - - The model trains for a fixed number of epochs. - - Training and validation losses are tracked to monitor overfitting. - -3. **Prediction & Visualisation** - - The best checkpoint is used to generate segmentation masks on test images. - - Predicted outputs are visualised alongside the ground truth. - -### Reproducible Setup - -1. Install and activate a Python 3.11+ virtual environment inside the project directory. - -python3 -m venv myenv -source myenv/bin/activate - -2. Install dependencies -pip install torch matplotlib imageio numpy - -3. Run Model Training -python3 train.py - -4. Run prediction and generate output images -python3 predict.py - -5. Plots and prediction images will be saved in the directory; download as needed. - ---- - -## Data & Splitting Rationale -- Dataset: The OASIS 2D slice data is provided and preprocessed for direct usage. -- Splits: Training, validation and test sets follow the supplied partitioning to ensure consistency and fair evaluation. - ---- - -## Dependencies -- Python 3.11+ -- PyTorch -- matplotlib -- numpy -- imageio - ---- - -## Limitations & Improvements - -- The current implementation applies the Improved UNet to the supplied OASIS dataset only, which meets the easy difficulty criteria for this assignment. -- The dataset is normalised and reshaped for single-channel input; no additional data augmentation is used. -- The project could be extended to more challenging tasks such as segmentation on the HipMRI dataset, use of 3D models, or implementation of advanced architectures. -- Additional evaluation metrics (e.g., Dice coefficient) could be implemented for quantitative assessment. - ---- - -## How to Run - -- Activate your Python environment. -- Install required packages. -- Run scripts as described above. -- Visualisations and plots are produced automatically; check your working directory for output files. - ---- - -## Results - -### Training and Validation Loss - -![Loss Plot](loss_plot.png) - -The training and validation loss values, tracked over 15 epochs, are visualised in the loss plot above. The training loss remains consistently low from the start, indicating that the model is rapidly able to fit the training data. In contrast, the validation loss begins substantially higher, reflecting the challenge the model initially faces when generalising to new data. - -Notably, the validation loss decreases sharply after the first few epochs, with the largest improvement occurring between epochs 4 and 5. By epoch 9, the validation loss stabilises at a considerably lower value—much closer to the training loss—demonstrating that the model's performance on unseen data has improved and is no longer dramatically different from its performance during training. - -The convergence and parallel decline of both losses toward the end suggest successful learning, effective model generalisation, and little evidence of overfitting. This pattern, with high initial validation loss followed by rapid convergence, is typical for deep learning models as they transition from learning broad patterns to refining their segmentation boundary details over successive epochs. - -Monitoring both curves ensures the model is not simply memorising the training set, but rather learning generalisable features essential for robust MRI segmentation. - -#### Dice Similarity Coefficient - -The Dice coefficient for segmentation predictions on the test set was **0.6323**, which does not meet the assignment threshold (≥ 0.9). This score reflects that, while the model segments the main brain regions effectively, it struggles with accurately capturing fine anatomical details and boundaries, as seen in both the visual results and the quantitative metric. - - -### Sample Prediction 1 -![Prediction 0](prediction_0.png) - -In Prediction 1, the input MRI slice (left) is clearly segmented with distinct anatomical structures in the ground truth mask (centre). The predicted mask (right) successfully outlines major brain regions and excludes most of the non-brain background. The segmentation captures general tissue contours and shows good agreement with the shape and location of structures in the ground truth. - -However, there are noticeable artifacts, such as ring-like patterns near the outer edge of the mask and some discontinuities inside the brain area. These artifacts likely result from thresholding imperfections, limited post-processing, or model bias toward certain regions seen during training. Fine internal features appear less precisely defined in the prediction—some small structures are missed or blurred compared to the ground truth. - -Overall, the model provides a reasonable binary segmentation for core brain regions but could be improved to reduce edge artifacts and sharpen internal anatomical boundaries. Incorporating additional metrics or data augmentation may help in addressing these issues in future iterations. - -### Sample Prediction 2 -![Prediction 1](prediction_1.png) - -This figure again illustrates the input MRI, the ground truth, and the model’s predicted segmentation. The prediction displays strong overall agreement in identifying the brain region, with the major lobes and boundaries reasonably well matched to the ground truth. - -However, closer inspection reveals several limitations: the model misses some of the finer internal details, leading to thicker and less contoured segmentation of internal regions compared to the true mask. There are still faint ring artifacts, and some central features appear overly connected or blurred. Despite these artifacts, the core region of the brain is successfully segmented, and the model avoids large false positives outside the brain. - -Interpreting these results, the model clearly generalises the broad brain shape but could benefit from additional regularisation, improved post-processing, or refined loss functions to increase the precision of boundary and internal structure segmentation. - -### Sample Prediction 3 -![Prediction 2](prediction_2.png) - -This prediction shows strong alignment between the predicted mask and the main brain tissue in the ground truth, with the overall shape and location of the brain accurately delineated. The segmentation correctly excludes most of the background and captures the gross anatomical structure. - -Nonetheless, similar to prior predictions, the model does not capture every fine internal contour, with some subtle boundaries and intricate regions blurred or missed entirely in the prediction. Artefactual ring patterns remain present at the periphery, and some thin structures present in the ground truth are not fully segmented, possibly due to the network’s preference for large, contiguous foreground regions and limitations in spatial resolution. - -In summary, the result is a clean, faithful segmentation of the brain region, appropriate for a baseline model, but still limited in detail—highlighting opportunities for more advanced modelling or post-processing if higher precision is needed. - -### Prediction Summary - -Each example displays the input brain MRI slice, its ground truth segmentation mask, and the model's predicted mask. The predicted segmentation masks are qualitatively similar to the ground truth, capturing major anatomical structures and providing good separation between tissue and background. - -- Strengths: - - The Improved UNet achieves crisp, binary mask boundaries and extracts the main brain regions with high similarity to the provided ground truth. Most large-scale features and shapes are very well captured, reflecting effective training and model architecture. - -- Limitations: - - Some fine details and small structures are missed, and there are occasional artifacts (e.g., ring-like shapes) at the periphery of the predicted masks. These may result from limitations in model depth, preprocessing, or thresholding method. Additionally, some regions of the brain boundaries look slightly thicker or thinner in predictions than ground truth, likely due to imperfect probability thresholding. - -- Overall: - - The model provides a robust segmentation baseline, with room for improvement through enhanced data augmentation, post-processing, or advanced architectures - -#### Limitations and Troubleshooting - -Despite retraining the model for 35 epochs (instead of 15), monitoring the validation loss, and experimenting with hyperparameters, the Dice similarity coefficient remained below the required value. Potential causes include: -- Insufficient data augmentation or model regulariaation -- Suboptimal thresholding for mask binariaation -- The model’s ability to generalize to fine structures and small regions within the brain masks - -Further improvements could include more extensive data preprocessing, different model architectures, and advanced training techniques. Given time constraints, these enhancements were not implemented, but would be the logical next steps for improving segmentation quality. - - - - - - - +# Improved UNet for OASIS Brain MRI Segmentation + +**Student Name:** Oliver McCarthy +**Student Number:** 48023083 + +## Introduction + +This assignment presents a solution to the problem of biomedical image segmentation, specifically segmenting the 2D OASIS brain dataset using an Improved UNet architecture in PyTorch. The task demonstrates practical skills in deep learning for medical imaging, software engineering in version control, and reproducible research reporting. The goal is to achieve accurate segmentation on preprocessed brain MRI slices while documenting the workflow and outcomes. + +--- + +## Problem Description + +The task is to segment anatomical regions from 2D brain MRI slices. Images are sourced from the OASIS dataset, with corresponding ground-truth segmentation masks provided. Accurate segmentation of medical images is critical for quantitative analysis in neuroimaging research and clinical diagnosis. + +--- + +## Project Structure + +recognition/ +└── OASIS-ImprovedUNet/ + ├── dataset.py # Loads and preprocesses OASIS MRI & label data + ├── modules.py # Improved UNet model architecture (PyTorch) + ├── train.py # Model training and validation loop + ├── predict.py # Example inference script + result visualisations + └── README.md # Documentation and usage instructions + +--- + +## Algorithm Summary + +The Improved UNet model is a convolutional neural network with an encoder–decoder structure optimised for semantic segmentation tasks. It processes grey-scale brain MRI slices and produces corresponding binary segmentation masks. The model is trained using binary cross-entropy loss with logits and tracks training and validation loss across epochs. + +--- + +## Workflow and Usage Instructions + +### Code Structure + +- **`modules.py`** – Implements the Improved UNet architecture components. +- **`dataset.py`** – Loads and preprocesses OASIS image and mask data from PNG files. +- **`train.py`** – Handles model training, validation, checkpoint saving, and loss plotting. +- **`predict.py`** – Loads trained checkpoints and generates segmentation predictions with visualisations. + +### Pipeline + +1. **Data Preparation** + - OASIS 2D slice images and segmentation masks (stored as PNGs) are loaded and normalised. + - Training, validation, and testing splits follow the assignment convention. + +2. **Training** + - The model trains for a fixed number of epochs. + - Training and validation losses are tracked to monitor overfitting. + +3. **Prediction & Visualisation** + - The best checkpoint is used to generate segmentation masks on test images. + - Predicted outputs are visualised alongside the ground truth. + +### Reproducible Setup + +1. Install and activate a Python 3.11+ virtual environment inside the project directory. + +python3 -m venv myenv +source myenv/bin/activate + +2. Install dependencies +pip install torch matplotlib imageio numpy + +3. Run Model Training +python3 train.py + +4. Run prediction and generate output images +python3 predict.py + +5. Plots and prediction images will be saved in the directory; download as needed. + +--- + +## Data & Splitting Rationale +- Dataset: The OASIS 2D slice data is provided and preprocessed for direct usage. +- Splits: Training, validation and test sets follow the supplied partitioning to ensure consistency and fair evaluation. + +--- + +## Dependencies +- Python 3.11+ +- PyTorch +- matplotlib +- numpy +- imageio + +--- + +## Limitations & Improvements + +- The current implementation applies the Improved UNet to the supplied OASIS dataset only, which meets the easy difficulty criteria for this assignment. +- The dataset is normalised and reshaped for single-channel input; no additional data augmentation is used. +- The project could be extended to more challenging tasks such as segmentation on the HipMRI dataset, use of 3D models, or implementation of advanced architectures. +- Additional evaluation metrics (e.g., Dice coefficient) could be implemented for quantitative assessment. + +--- + +## How to Run + +- Activate your Python environment. +- Install required packages. +- Run scripts as described above. +- Visualisations and plots are produced automatically; check your working directory for output files. + +--- + +## Results + +### Training and Validation Loss + +![Loss Plot](loss_plot.png) + +The training and validation loss values, tracked over 15 epochs, are visualised in the loss plot above. The training loss remains consistently low from the start, indicating that the model is rapidly able to fit the training data. In contrast, the validation loss begins substantially higher, reflecting the challenge the model initially faces when generalising to new data. + +Notably, the validation loss decreases sharply after the first few epochs, with the largest improvement occurring between epochs 4 and 5. By epoch 9, the validation loss stabilises at a considerably lower value—much closer to the training loss—demonstrating that the model's performance on unseen data has improved and is no longer dramatically different from its performance during training. + +The convergence and parallel decline of both losses toward the end suggest successful learning, effective model generalisation, and little evidence of overfitting. This pattern, with high initial validation loss followed by rapid convergence, is typical for deep learning models as they transition from learning broad patterns to refining their segmentation boundary details over successive epochs. + +Monitoring both curves ensures the model is not simply memorising the training set, but rather learning generalisable features essential for robust MRI segmentation. + +#### Dice Similarity Coefficient + +The Dice coefficient for segmentation predictions on the test set was **0.6323**, which does not meet the assignment threshold (≥ 0.9). This score reflects that, while the model segments the main brain regions effectively, it struggles with accurately capturing fine anatomical details and boundaries, as seen in both the visual results and the quantitative metric. + + +### Sample Prediction 1 +![Prediction 0](prediction_0.png) + +In Prediction 1, the input MRI slice (left) is clearly segmented with distinct anatomical structures in the ground truth mask (centre). The predicted mask (right) successfully outlines major brain regions and excludes most of the non-brain background. The segmentation captures general tissue contours and shows good agreement with the shape and location of structures in the ground truth. + +However, there are noticeable artifacts, such as ring-like patterns near the outer edge of the mask and some discontinuities inside the brain area. These artifacts likely result from thresholding imperfections, limited post-processing, or model bias toward certain regions seen during training. Fine internal features appear less precisely defined in the prediction—some small structures are missed or blurred compared to the ground truth. + +Overall, the model provides a reasonable binary segmentation for core brain regions but could be improved to reduce edge artifacts and sharpen internal anatomical boundaries. Incorporating additional metrics or data augmentation may help in addressing these issues in future iterations. + +### Sample Prediction 2 +![Prediction 1](prediction_1.png) + +This figure again illustrates the input MRI, the ground truth, and the model’s predicted segmentation. The prediction displays strong overall agreement in identifying the brain region, with the major lobes and boundaries reasonably well matched to the ground truth. + +However, closer inspection reveals several limitations: the model misses some of the finer internal details, leading to thicker and less contoured segmentation of internal regions compared to the true mask. There are still faint ring artifacts, and some central features appear overly connected or blurred. Despite these artifacts, the core region of the brain is successfully segmented, and the model avoids large false positives outside the brain. + +Interpreting these results, the model clearly generalises the broad brain shape but could benefit from additional regularisation, improved post-processing, or refined loss functions to increase the precision of boundary and internal structure segmentation. + +### Sample Prediction 3 +![Prediction 2](prediction_2.png) + +This prediction shows strong alignment between the predicted mask and the main brain tissue in the ground truth, with the overall shape and location of the brain accurately delineated. The segmentation correctly excludes most of the background and captures the gross anatomical structure. + +Nonetheless, similar to prior predictions, the model does not capture every fine internal contour, with some subtle boundaries and intricate regions blurred or missed entirely in the prediction. Artefactual ring patterns remain present at the periphery, and some thin structures present in the ground truth are not fully segmented, possibly due to the network’s preference for large, contiguous foreground regions and limitations in spatial resolution. + +In summary, the result is a clean, faithful segmentation of the brain region, appropriate for a baseline model, but still limited in detail—highlighting opportunities for more advanced modelling or post-processing if higher precision is needed. + +### Prediction Summary + +Each example displays the input brain MRI slice, its ground truth segmentation mask, and the model's predicted mask. The predicted segmentation masks are qualitatively similar to the ground truth, capturing major anatomical structures and providing good separation between tissue and background. + +- Strengths: + - The Improved UNet achieves crisp, binary mask boundaries and extracts the main brain regions with high similarity to the provided ground truth. Most large-scale features and shapes are very well captured, reflecting effective training and model architecture. + +- Limitations: + - Some fine details and small structures are missed, and there are occasional artifacts (e.g., ring-like shapes) at the periphery of the predicted masks. These may result from limitations in model depth, preprocessing, or thresholding method. Additionally, some regions of the brain boundaries look slightly thicker or thinner in predictions than ground truth, likely due to imperfect probability thresholding. + +- Overall: + - The model provides a robust segmentation baseline, with room for improvement through enhanced data augmentation, post-processing, or advanced architectures + +#### Limitations and Troubleshooting + +Despite retraining the model for 35 epochs (instead of 15), monitoring the validation loss, and experimenting with hyperparameters, the Dice similarity coefficient remained below the required value. Potential causes include: +- Insufficient data augmentation or model regulariaation +- Suboptimal thresholding for mask binariaation +- The model’s ability to generalize to fine structures and small regions within the brain masks + +Further improvements could include more extensive data preprocessing, different model architectures, and advanced training techniques. Given time constraints, these enhancements were not implemented, but would be the logical next steps for improving segmentation quality. + + + + + + +