From 069d5d0a931c9e11d6135d63717fc50894afcd01 Mon Sep 17 00:00:00 2001 From: eloi Date: Sat, 20 Mar 2021 12:25:49 +0100 Subject: [PATCH] Eloi --- your-code/challenge-1.ipynb | 622 +++++++++++++++++++++++++++++++++++- your-code/challenge-2.md | 28 -- your-code/challenge-2.png | Bin 52468 -> 0 bytes 3 files changed, 611 insertions(+), 39 deletions(-) delete mode 100644 your-code/challenge-2.md delete mode 100644 your-code/challenge-2.png diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb index 2487c5f..8caf208 100644 --- a/your-code/challenge-1.ipynb +++ b/your-code/challenge-1.ipynb @@ -34,11 +34,546 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TLTMTRMLMMMRBLBMBRclass
149xooxxxbboTrue
538boxoxoxxbTrue
409oobxxxxboTrue
357oxboboxxxTrue
708xbxoxxoooFalse
32xxxoobboxTrue
364oxbbooxxxTrue
\n", + "
" + ], + "text/plain": [ + " TL TM TR ML MM MR BL BM BR class\n", + "149 x o o x x x b b o True\n", + "538 b o x o x o x x b True\n", + "409 o o b x x x x b o True\n", + "357 o x b o b o x x x True\n", + "708 x b x o x x o o o False\n", + "32 x x x o o b b o x True\n", + "364 o x b b o o x x x True" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "#Libraries and download df\n", + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn import preprocessing\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "from sklearn.exceptions import ConvergenceWarning\n", + "from sklearn.neural_network import MLPClassifier\n", + "\n", + "ttt = pd.read_csv(\"tic-tac-toe.csv\")\n", + "ttt.sample(7)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TLTMTRMLMMMRBLBMBR
0xxxxooxoo
1xxxxoooxo
2xxxxoooox
3xxxxooobb
4xxxxoobob
\n", + "
" + ], + "text/plain": [ + " TL TM TR ML MM MR BL BM BR\n", + "0 x x x x o o x o o\n", + "1 x x x x o o o x o\n", + "2 x x x x o o o o x\n", + "3 x x x x o o o b b\n", + "4 x x x x o o b o b" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Selecting the Categorical columns\n", + "obj_df = ttt.select_dtypes(include=['object']).copy()\n", + "obj_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TLTMTRMLMMMRBLBMBRclass
0222211211True
1222211121True
2222211112True
3222211100True
4222211010True
.................................
953122211122False
954121221212False
955121212212False
956121122212False
957112221122False
\n", + "

958 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " TL TM TR ML MM MR BL BM BR class\n", + "0 2 2 2 2 1 1 2 1 1 True\n", + "1 2 2 2 2 1 1 1 2 1 True\n", + "2 2 2 2 2 1 1 1 1 2 True\n", + "3 2 2 2 2 1 1 1 0 0 True\n", + "4 2 2 2 2 1 1 0 1 0 True\n", + ".. .. .. .. .. .. .. .. .. .. ...\n", + "953 1 2 2 2 1 1 1 2 2 False\n", + "954 1 2 1 2 2 1 2 1 2 False\n", + "955 1 2 1 2 1 2 2 1 2 False\n", + "956 1 2 1 1 2 2 2 1 2 False\n", + "957 1 1 2 2 2 1 1 2 2 False\n", + "\n", + "[958 rows x 10 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Convcerting tthe categories into nums\n", + "le = preprocessing.LabelEncoder()\n", + "\n", + "for col in obj_df:\n", + " le.fit(ttt[col])\n", + " ttt[col]=le.transform(ttt[col])\n", + "\n", + "ttt" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1.00322257, 1.08495342, 1.00322257, ..., 1.00322257,\n", + " -0.16731812, -0.28682739],\n", + " [ 1.00322257, 1.08495342, 1.00322257, ..., -0.28682739,\n", + " 1.08495342, -0.28682739],\n", + " [ 1.00322257, 1.08495342, 1.00322257, ..., -0.28682739,\n", + " -0.16731812, 1.00322257],\n", + " ...,\n", + " [-0.28682739, 1.08495342, -0.28682739, ..., 1.00322257,\n", + " -0.16731812, 1.00322257],\n", + " [-0.28682739, 1.08495342, -0.28682739, ..., 1.00322257,\n", + " -0.16731812, 1.00322257],\n", + " [-0.28682739, -0.16731812, 1.00322257, ..., -0.28682739,\n", + " 1.08495342, 1.00322257]])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Preparing them datas\n", + "x = ttt.select_dtypes(include=['int32']).copy()\n", + "y = ttt[\"class\"]\n", + "\n", + "std = preprocessing.StandardScaler()\n", + "x = std.fit_transform(x)\n", + "x" ] }, { @@ -60,11 +595,59 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Iteration 1, loss = 0.66454708\n", + "Iteration 2, loss = 0.60374428\n", + "Iteration 3, loss = 0.56312898\n", + "Iteration 4, loss = 0.56961265\n", + "Iteration 5, loss = 0.42101110\n", + "Iteration 6, loss = 0.77979335\n", + "Iteration 7, loss = 0.51294126\n", + "Iteration 8, loss = 0.44993973\n", + "Iteration 9, loss = 0.34721031\n", + "Iteration 10, loss = 0.36197357\n", + "Iteration 11, loss = 0.34105566\n", + "Iteration 12, loss = 0.20288469\n", + "Iteration 13, loss = 0.12470513\n", + "Iteration 14, loss = 0.05519443\n", + "Iteration 15, loss = 0.01681403\n", + "Iteration 16, loss = 0.00545130\n", + "Iteration 17, loss = 0.00207817\n", + "Iteration 18, loss = 0.00091740\n", + "Iteration 19, loss = 0.00059823\n", + "Iteration 20, loss = 0.00045041\n", + "Iteration 21, loss = 0.00036881\n", + "Iteration 22, loss = 0.00031193\n", + "Iteration 23, loss = 0.00027396\n", + "Iteration 24, loss = 0.00025036\n", + "Iteration 25, loss = 0.00023153\n", + "Iteration 26, loss = 0.00021917\n", + "Iteration 27, loss = 0.00021036\n", + "Iteration 28, loss = 0.00020398\n", + "Iteration 29, loss = 0.00019854\n", + "Iteration 30, loss = 0.00019422\n", + "Iteration 31, loss = 0.00019075\n", + "Training loss did not improve more than tol=0.000100 for 10 consecutive epochs. Stopping.\n", + "Training score: 1.0\n", + "Test score: 0.975\n" + ] + } + ], "source": [ - "# your code here" + "# Train Test and using the MLPC as Pablo has explained is the balance btwn easy and useful\n", + "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.25, random_state=23)\n", + "\n", + "mod = MLPClassifier(hidden_layer_sizes= (50,100,200) ,max_iter=200, alpha=1e-4, solver='sgd', verbose=10, random_state=23, learning_rate_init=.5)\n", + "mod = mod.fit(x_train, y_train)\n", + "\n", + "print(f\"Training score: {mod.score(x_train, y_train)}\")\n", + "print(f\"Test score: {mod.score(x_test, y_test)}\")" ] }, { @@ -78,11 +661,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True 626\n", + "False 332\n", + "Name: class, dtype: int64 \n", + "\n", + " True 632\n", + "False 326\n", + "Name: preds, dtype: int64\n" + ] + } + ], "source": [ - "# your code here" + "# Looks okay\n", + "preds = pd.DataFrame(mod.predict(x))\n", + "ttt[\"preds\"]=preds\n", + "print(ttt[\"class\"].value_counts(),\"\\n\\n\",ttt[\"preds\"].value_counts())" ] }, { @@ -144,9 +744,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.8.5" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/your-code/challenge-2.md b/your-code/challenge-2.md deleted file mode 100644 index 9d98968..0000000 --- a/your-code/challenge-2.md +++ /dev/null @@ -1,28 +0,0 @@ -![Ironhack logo](https://i.imgur.com/1QgrNNw.png) - -# Challenge 2: Tensorflow Hyperparameter Tuning - -## Getting Started - -From the lesson and Challenge 1 you should have noticed that understanding the concepts in neural network analysis such as *learning rate*, *epoch*, *optimizer*, *loss function* and so on is essential for you to optimize the neural network models you build. In this challenge you will study several learning pieces that discuss the hyperparameters in Tensorflow. - -**[Neural Networks: Structure](https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/anatomy)** - -**[Understanding Deep Learning with TensorFlow Playground](https://medium.com/@andrewt3000/understanding-tensorflow-playground-c20cdb7a250b)** - -After that, complete [this exercise](https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/playground-exercises) on tuning the Tensorflow hyperpamameters in the [Tensorflow Playground](https://playground.tensorflow.org/). - -Finally, using what you have learned, try tuning the hyperparameters for the spiral dataset in order to reach training and test loss <0.05 as shown in the following: - -![spiral output](challenge-2.png) - -After you're done, submit a screenshot of your Playground including the following information: - -* Epoch -* Learning rate -* Activation function -* Features included -* Hidden layers and neurons -* Test and training loss - -**Do not google for the end solution!** diff --git a/your-code/challenge-2.png b/your-code/challenge-2.png deleted file mode 100644 index b3780482bbbff1b10b5d0c3e71cf889f5e3793e4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 52468 zcmaI6WmFtN*Dg9h@Zb>KgS%@8E+GWB00RUkXb6G9f(3#@fZ#5{-5K27Jq$X7Gr-__ z$@_lioORZ^_txqkUEQ_!e)h9>Nmq54#s?)FED9_D0Dz;SEUyIspn?DZ6jBV7=O+eM zh0)IyfW~_rg{!M8zzyK(>FKh?%duoOE-vok;sOqbtMsXyo}Tvg_mN3{Kp+rDM@Orx ztD~c%jEs!K!^0PC-(AaRJv=%=*;8VMBKAcfkSI5uKAKAJb z5D;()_SxFrYH4XXA502vTr4as3}{%2ii%oWgIx5+R8&-iHZLV~uEw>moDZdjwJa|# zE^cgWmXB}3V9=71l2$Ody1F_(K7Mj-Z*6@Y zF=VQ4wlUsAp)9n8B%QO+1fNo5WHpFC6 z@6yif?CjLkR7Xe0*3NG0EcAT5pksb}VQ~?@K7P8`8Xg{=mX>xlSGTl_xH{fGS?QzLcCPY%Yltbh zr($B~cDk51y#HXf_3>;+GIp?bdiM^}d71yNt*vc+@0k$jF>FOCaoEhvta|jXqN3tu znek1e$Cc(~xE!8NOYYhz{7 z{?GLC!o*ESu$`SPSXL=Kdq9H^J1#D>ybIKQ*V|Bie`>05DXk zA}^!kxqLWVjT0mdcv1E9GSs3zE1aIpAF0SzdT+)!QTflJ+;u(R#0Z9pF^a7*0R{ws zkoHqZ>3Dgh-yo1*z)*{9fc~9ez{MywellrxCI|@`fjld~BW(us_xj&LGCSav+rI;n z1EM>wZx0#(_qFheR#P{hMo006i*)=en^<%b`k=TI%OFu2 zh853AB^NMRZlBr7ER&fQKWJuPR|#WD;u0l+JK)P7S-WE3lGdRH%NWydcgly5((P@C zH)Lnm_q*9@srpFR7^URH#~Xb=U#!^YK7bGtD+cw=Bn@k}OJZ(67azqBc90EUsP1v- z;Ly;}O>p`+xZo{^^O+5%*mKE>j!(I2yc_<${wVUF=E5JWfNf{AQ*r;44T;8qve=(e zSpM^h`@<(7p|kazw>LS#I+;7s60AC=(NJYjaM}tdG-3FsnDN-_(yCCWKS8fCy$_=$y z;qm@R_v(Rj3SShy(9)D(kFRZ?T}hN&KQ3;q1-_hf>qiW>6MriTAA4@JAYk ztGFmy$`wwyhbZIYOZrB%fBI%*_E?VGf<37wsFFqEqiEfb5%b3!@NJ-?{cBjF&3;dl zs)T8?g?>R|Twz+Lt-<^&;TqLXz*d2ICIG45RARtf;<0(*zQwH~UazvdkUGGYv!BBa zC%1W@OXvNozP=YFJ*|Y>$4z+*j?8EY2fGo`!ts3doRxyTkzbj;SLBD-dxx)_Q5ypI z&mPC-!2&o#NQw(Nk-WIOq<`wa+pzvzW-7!8Nrj;%RE?<0i zr%^0s=l9EHuj`Z2q+t-t{xs#3Xi`ILH{kJ)dJ*bBf4HZBfD@XAuwS~@eK(RX3DJjN z#DTCy9DC6XHY-+nuSuMWx;WEDTff_M(@k5~8rBL?t+h9_By+C7mNxrf?gRM0wVlaH z{dEt=oUiTgiq)OtTLS|irU)g^5O*Y?Y_i!f=^{Ma#hv7v!2rfD7$YmfZ`v~nk5Ske zM6OFpn>Q4x*d`ELbn7|6@3Akg@3iwf8lT-Lm(swjULIu+x0`LWRKFb=ueggbgx8ST zA7=jEcm8tYTag!D9-sf|%M>Qz%2VYZ4JVU%G*}w1oqurquUlI}FnP^ct2hAjEj!%>RiyliIf%>D%|T?gM`d_kURk8scT=aJLR+S}p$$EvAW}D{^SW zE{h05)1nC`N)~CV^g+Esnhw0mj|DI*4KAZsB58;v&@d>@>UyDNcG1!cJ13S?Muilj z%pGL;Fy|~HyI2Ilr1*LK{ky2>Eb9f}gmvPk%?=bo+5A{fzv6y;WuuHAk|&q_gxot` zJvrPYfX}jAKK=^hbYVr>kPq%4?kE-{`^Enw<41@H9Fh?>*2=17cG0a(d^RPvb(67o z{?W#_>0`3lSm2UeosSu?6By%3ni-J+S}=yd={~NyFEacuH@gO=Y-$ZbME)hJ(XJv3 zxVp4(!@?}KZ)f<)!@|wd)p53TP#Mtx&{KsE$#+IBPukuO%A^)uC4f{aMcNk^t0LwQ z=Fdcw#$Rlj%n9p7Y>%(TILI7OetJb@XUa{Gd2@Xh5y|*A$Th8?8Qz!sN!pr@5YfQN z8S<0pNNaDOqku5axkc8*n|T_qOE z`Tn_c4A2-wLCB`ed&d5A=GqhS&XnD>j}((FE;%U?5NXWm4fu!^ZUsm?7O{ZPVevL% zkG{YXTywuq1Leh>xOl+0repNaDI47^;&>}QDwD*c(>X5%76U?}7Qun)o|r1RwuxV< zavf@HfCdNK00~9_(>K)5AH)X1=pG@PZ@z@DpqXWPMX<78@0gYA(y>zz>>r zgWwiCvvUUsh4XrLkZpb4QPorq=m1?M-sD7+Dpf>GFRumF;Zuny3#dci zc!2r##HuI0;lGjUs|8U9NWr(x6lL8F6?XidFE01byWWr1fHU26tjo|R4l2Od;i=;d0blb*{*>dcUU%EXu7H=AJ@OgTLI#KU{`Av75=4NtEKzgUa1K%tfC3@}(ty}4Vc*P=Zv*g;^jD(5LI6S0N~wmx=Qm@x_#l14l~ zVWlCm#*wzna5|QKxTtY0mNGIr)i->4$I43P0+SEnoGgF*Vh@>GYaZyoQ7C`EU$X%c z!aXWe_3vGK!9~;RKqy{-4j+jRVPpgT!h3~rwq{=Y*!swO=dH@zey>=`%s74B4^gvQ za|pY2Ul`MAyAx#n@mlV$so&V(RtU8{K~`{K|IHYc*dHtF6PZ8$&dJT)H%(y^0Zw(} zMFCeSNxgTgR~@7)x>OrG3y(LP*LSK=AwR_r<8KdF->PyLk`0{JzIFL~PwtD%kpGS- z;{8SttFkQn4;Ri{?pN)>yRVQOk+Jpcg4bj1IS~8}m@_RaR%Q|40Dp&C{4!(9r_mw# zys)V-%37i;pLL)T{A9iB)H`%2IK>9>y+QPeBbgGpi==3xc*Ff*Yozr47G?);>E)P4 z_tg2i+ALKtDX5kP1`p!LwYJ$1F);z@;cMJH+Z(I-q+T9&6aG9(f;N@@cBzFA2WKVc zdI8ronn;!Sjn2RI`JN)9+&E6cO&E4w(3k+#X4S*3plmVmjpR}NGC^dsE>7vTN*^rk+qG}+nV2$HVK^*JSxRcp5#y9$Q2EF!ByGP zp90gsDHtORmqM-Q0bafVAmC=5yPZv+b7k>G5M#K`#Y= z4wDgHi#y+Zo7P_x#oPU_#TRulTrX#TQjnRyXf7RXifOBmY5*T|`|l;{1M8MQT(lDV zD7L$;0-Fg=62H4-z?Lw9%6fO~8rvW19b3KUM=)=3zNHqTGU96_>=MVk4E;!E^|##= zvbJB%=QNObC4p&W4;>>UAewqbyrC82h6=5Fioy0&oX*3Qbk#pnm#6F@5>%T(#>cRa zIi&K5(ydX8B*cR!dYsY=&j)pKe51yGqs;*qo@xmz;G7}^Eae^)O;w3+7j3WrcVl9Q ziKsu(DL6{jzKdp}#|=BnBPy&+#;D%>%fr+=akbFS9gzJp^jfjIc7|EJlY^q8LmRTy zy6D*wov5eD~dRH5FcPpEFYW!198*+Mu+I z+kx7gYRlXKG}2hz_=YSQGwt_!sRmkFFJU__Qd8`x zrOq9g1=3bI`d*BIKD_Q5tRFmegftIhyq+m$!e}%5&eVoo7tZm(;z?Qi)^{ z&WNk2{)yzOoX~j^T#RjA@f9R=WJ;LKY&UOFc~eW{t-hL&j2eXDi&^6J{p0S)q_FXF zfI9w$X7JDSHiw9xZYM`|sk7Md|0RsXmNVGw=l8+YuA;*?hVwV+Ml~+qxF$2Qe8V`U z{g$pGb7%@tGW#QH^JqZ-2hN9hMh4Ax_(Vcm7&gOn_I? zd|x)1!vxs*4OMbU7^YV}=3ta;V649)^@ku+ph5<{Rc2CLgVYcE6?i+#=0o zxv-L5qipxDMK4T)9U_M{kWfbC>;I2Zha6Mj%}7@mAfH6tgu5>^u+wV0W<9jrpgM>bU=G~P%>@qFlb`yJxS+?@^6x~}V&+geDy!wo* z%f;6XFef&3=xXJ)7DkAG8p~#q$egA16^7k7zgr{HVXX~Lt-I!F23@j%5wfii0Yy*` zYqEC3dYqA7C3xge1z9sKB__bFVQGBh*Vt?C*^sB&eeQ0s9xWrAUMu&R-IL8XT+1{Q z>pK8Z+6gaVa?Q1AHQqHxw4t3gW;;%cOt5n2js_;SP5?Z)#53VT4*Zv1Rr43$xnfYQT4TvWci=Qk z;e4l0sRJ4Tr*beihj7}AjX4qh7cGA?h%#;QsIa#zT^q)hpf4RyxT`{-${Bx`0QHsp zVvF96MPi1JXHD`Ctm-q^wzcFNqhT{t*v;z=RMOZTAzg^VI5O*rW~zXHUF~)B^H)qG zuTj*IN_PYdOA-}#<_PDZhcz3uzxM1h8O)SnPm#%B^Af-_+&X9j_{KfCm5DQam$BTl zj$;WT7_1FbQS&6je4iFqG{CH*PL`ZP{pBUA(KcYQQ1|>b8>Vt0Rf1YBF%6R)(wh)9 z&1|)i-7tx-e1i1;Jcd9jOZHE=Nx6Ew*BN46uc3)t641oPQBnYBMZpcB^c8yD;;9R& z!2F`#M#h#K*}T^MNKVIYU^tU~L}DKj8`KEkOog@K-zwKlNzvYMmuYW=NYLW*EBuxVh`{kiO?DX5tV4l>SOh$Imw@{P%&%*@P z<#GNtPL+sDyu40sPx4`>cZvGqM@P0%jsAl&zbctDBpqDO6hLl1KQr?)n(LM)hFk4b z0Zuzx(2ReHCvFEBVE*F#Zd7BLe&?`IwT^zH`sd$KP%Ewe5(97*NN=ySzVwG%lANJ2 zc4E1=6_Br5=T)0!xtWoJ+2u2IHol`3qQ`3pa_#yX(p3tmN%v!S4ses+dcEx-VqArq z>=WH=wYZAr&#JEj;;KOU47N(x>SW8xA0Zt4vIPR6HUi4BL_|^Y4H7+ic$|ME&Fa?# zo%!(x?8WzmF211AA{5Yd;3E*jCVUgd4EpOQtT4^Y0OZTrF2;s7sl9tDjUeCuF3xX$ z`)|C1_<`cKg=077B4|a!{+y*A(y)B|HaNmjNnI+rc7>>L+nHuxj4mGj>@u?40poIA zt^V+_A!VyJW7nN@Vk81N%V;HCsh;}HZpm5Z(w{>1%AxT`^E8p27BIdl9#OCe3-9MI zc4ARTu3F(1boJ@+yGFa+`kYLeN0x`ikLM9&sV8Fp8Fu|SPI@a>q_@&jYI98?<9O0b zR!$jo+u_``)VJ_6HBw=LM&X>{2$ZA@RYZDS34B6`s z!BgQ;IN5g97QD?;jf{QB*d&xXZ8GoWlS9sub$B$1LDhKj7MPugk}M>Abjuk@Zv7yqJsU0C zJTR^QA^Xr7Pc*)C3J((UHCwWoTY}X z!;^4#=#~cbN}n)LqCY;4JP;;ez7SaH5$BO!2Lll4q;xJof6zEKz9>(pWH#j`}H$UQPxdfw?G!*!w{BxG98-S;iq(2qOX=_Odw1bQ{j6X18owxNp!OZBfG z169X%5H|GK_t(S*)ln?@jm&MY{P`9#=~ysa_t;=AARBu5CJo6A!Zp@7COa!}404ye zOpO{@-3Da{Ku@|t*%>!z<0=;s7>!KE<1tI{rFC?1F8AHY&*Joq+~C*}tT%a9kwFXY z$}~K*xy-cWYvV*cq|9ejg+8-jsO1LVaEB8F$Bc(eCm-~-=N7-JbTopR`{q0wbYO|n znVyTh$X&XR$yidO>%(!4Pc-jH?A$ElRK?>B%ripLFlrC5oC&UtOi|iF6PY;+Kt?F- z`|W~bBaz#8KhV8MM8X7jH;V@<)GVL zNsJKxI%$blvkz(j0&I9K^Ds&~TM~&&^Sf-M!5Nv3i^?3leZwJP(Uw|ij+{i$WCWuRJrmZ)KZX!K!5|0?bxTGb{!4Ro(dW>?iLLR+`1y|y$ zPGhCwvIL^R7`PRd{nnBGtLk)69dSl`d?CHtoH( z_z}L*xRWdS8M1T)2iRhx3BEQvSWj5U2Cr13VXLI z&Kg4b+n+ELqnY84=GD6>&b)V6GUM4r;xvYGAIMHl$2)7cV7~7sEFrc330HpNaCiMl z0+HoUHWErP2?e}Pe{F*bBPm;8$IUV$%UVd~KQ1@sLeAZRs@H4L8%U~al?Y^om`XoE zXU$1$t$$?LRO+OXG=cga|1^YW*g`U1sZLgB5&m!(DK8p7iv)q(gus z+919*Hz_?W^st3TRuO=#=TB}*&F@V7mGEX?JT#8QEz7ZKlUFK)E9S@-u^GtyycLUB z7Vh0Dkixhei(smp#O=qZ{_Bu|$dC!Gqyr7XWDxB4F}$!h*#ELYnl@IoMFyX@Y#7(> z0L(MwLc^WJ25XDbr*tw@emP;jJ+!z3I-Mk0Xl--ou*Q3vOe*(i3*mYzU)nap2y272 zU}RdwT3Y3uiz(@ z2ZJ7p?xNugh-K~_FHc-X_1}-7j&D9!3}V+O4g6>sX({lL&>r=G)h{fAKhGhWCIDD5 zzK+19^2HQV3%_oTv+=!VpYZg_9jvKs(@nKHYJ1~?GQ_*D0etYG=YCCtN`;#{2h^0e zR_3eZ3MR3-Q^!OIi@o4wS&0MjnKSZ9evjLEaXEHpQ@Jwv00EPXlGp4TGv+IOSv^qv zV;|{BMp^$V&13v0BoLeR)qVaLrH6np{AYLngW@urM?dqDz3iaB{H@L^2ooZE8DiSUPU@&q?T`U18oPtau$xALaL|G_Vl>#P zdXpE-u7@Gi2h7ng0A!Dp{rrJ|>A_zdq*Xsm$mlr@>GTzAwm)^fLX80k#$|^E%O|2? zGFg@QMtx>jwr$OCB^|_eXqz)PfOkP)m&ad*;@WOf-;)`hMQ+nZywFI9WUtI+9Zp-| zdJGe}99sy_W&MA>hM&eVN~OwmHHo3_x(649Uzdz%Ts;=%7##sGhnsWAM)|#q8;auA?}lo)nI(M6|n+{;Na$uy|2;QSmDQ~im~5zsUuKw z=kC9#gdo&p1r{qC7bWhK>kzTmJ35}-r#gKwAvNqygJ}Q9AKXh~pX1!L9^V}Qh=9MAnCubBGBp-^Dm+fn4&Oi~|g8)3I8CAxmGo zGUHEC{Aqf4BY_k^LVSz;Kx7E|lO&ww%qV_GzVPM;rC$c`v$kP2(2i!@ZzkSiDfeWooZ2^;l_U>`gib#4`RrNp1WT0UU=WC_ z7^OWb>o9uGlf)yAJ{x~bloJl(l$Kx3J3Ia$dg5wQ_=auI zkGV^!T{R%KX!v)wVXhC0(wsK5!n8vG9J~5Q z7cXb2ilM94cYC}yZD0o8_aOS{;gLb!sCKc}eB#xgQ~#1>Xi-dT79VcC6ZjxBTwEOs zA1oXMi{QA$jpj7Hnde4`Q+z=+9y-+ok#m1yl(P9^0IcnJQ%%x(_GQk#4~D| ze{s1pdaDJAHjK14^(buPwN^axw4m7grXi;ZDJugvU<%%Tg8I+hdujmTuhtiIcLV$m zlHe~G+R!Ht%!S=tMPFSYnGJ)%l``0GBqE%nP@>c?V0#5um<5^rjq*l}+Q*phCQS3l?WOH=%fE{qpovY*;CUz-IJ(yH z-Pn^rkA{c6b=_IXW3FihDHbefB0!*#1@3c^+a?MI8sDjxbSvD6nDF+fmeIzhXp?msv0e+KEg-^psEWiWGp+;}Jt zYmK;~^^49JLHfqs)nVH3&%C@<15AlYVEeMSftz4~ zxYUN&gUIaUxFDT2&3mp1C%{C^kvCDOIa)dk^OshlmUZc9^r~wvqzk`?SA4clP0D6Bde#kmsJ#yj6=5y{R7;~;-}zIN}|*Z&sGlNB5;22 zu+baeA@iX32Y=t}4R}4&`aDQTTKF-yiaKQ&R{x$;80(j6kX97+{M5f{Dx8ZMHLN;Z z1P#Ho4KZa5oDP=06?-I^I-S7s-2Qv`ZMU~4$WAo zdBUN5IJT4o+ol~t@QE0Nm3G^jrA9&ZZ9qrO!v!ZfDW~*nX(Y;(Ft#4SdRX z786D!-~nL}s#;g6M;kGe{anrG^Hq=EBX>T6_!>zPA;ZeFWDVvo0M@`}Ftf0I3X}CN&cI2+QX1@z5SaV@|jn z)_EnX3z>=kY;5n4OzyqOZFPX4_=TlpT4-}So77RX(e<8vjCmTut&SXq&Pj|weWfTc zFqmJ?fwsD~aeFa3brMD*hRBH)RD&J;6+Cjt4xRy=?Ps)ry^u8?LuwZ86hIdfs3+Ff z$cahY(H-EK*W?IZ6>(PZQX<~fN1+ZAFwNC_R?h8yN93xUliu(>M7UtHIn9KLu<57O z@jsWAM}lJfrORcjNzrCE*I7^rK-(7(B13s^bwUXRDKiFZ>2C$O85lJ?Z`f$`mr+?B z4G|0q7}p9(tH^B8@~5)pmDd zOJ@d=P1M6{qi}IU&1NGA=?m3VdVO?$jixLK*ns>W7B;;vZrji1HDsYoR)4f1S+^>b z^A7xWMnA`So6_*wBogrE)OIe+V7q7gY13t5#vN8(nt?+8Y&JJ#i+%VxcxF`p4NhjO zgSi9XhAPc7=r)+q!mX=nQ-5;nd-z$1#%wD5{eLO3q1G89?M4nPh?*ZmtEVJd@Ck|B zCh*(DtZBaVof;dVY&=GjHo!BXXJioQEd>XUxKW6~*A2I= zM{ZyO-t%8~bD#L0&uv8tNT=Vnip@mSKmcZqxLU^UxvrRfVR`ppehVq7RA(2mlSXN& zf&QK9-7h}#X#ni5*qA3n;hOH<=MFO`LGmBMq~|r5m|OO<>?hT`HAI@g>7%iB*da)8 zlstoXORt1XfU4(cfSUh-cTQOovUlJd{+z$6mo_?>iAf3R8lX@>Jo7qF?O!bHWDvBc z7saK|9fU}m22wWRT?F30%OkUVs7Hzv1(-sP!x8(DAb^$k_4$V%x|tRhYL1fnkxx?} zqk$0_&{gP^GBVQ}2U zBprPShd<8NaoP{|N}6{-DZv`Qz7}ww+MePfkx(1!!N>W(ue5Se)>m-^;>6=`sYv*l zVxsBWz8xA~L(aDWYt-yK#TDSI&cq^=$A#e)oZ9dDNg^F=Z7%-JX6o2lcoKl9iGflI z|4^aUBb273TPoeue)X6Or`4Fy@7)1ZZ=S{Lz&5|SfDoSoFkGJ2y^^)Eo$UyRyaLtx zV=Tof+P)&PAhn>ggQyR#vtzgL@(rk<@HS~_TJr=4|2bVlc`D0CjIw%1Ji7+$oSqMA z`sjsa!+DRT$%PRsOBs~a#A*8RkB zCK=toefi+b;`);ROF|KNyJ^^anJTD~%BP{#Wz{X5C+F;Wo{3O>x3%u;cieKEr*y%j z1C)jOYQ}Bz2f{|MMd}kNTlQ6pz`?_JUjmaW8MZ%SuC)|L#7NwdU_aBL10mgv6f+&u zY)JOe(x(}J+pt&rKT0)@5}&8b#}n_Iio5A8>u0}Z6^h* zO-O*>{YTzzX6)mfeuW6ZJBoNE{iWemv~Bl)t~ryWTYoy4Wlv6Hy_RTq7g$l+b1dqt zL`{5N7jO`v0@F>rY{gmaIJf_lmpaO{fB&bfeD-U+$#t7C>KKOU38}oc2Ew zJAyfWm;vC-tmed=ptv+)Y z8V--Az!TQEO>Me&L954KojpFR&b1&CP2F){iISH-9ffHs(@X4MuAu` z1U;qaCU3PzDtw<0e>zRP(X(jh+uZFQZpG)Qd=tfQJ;mT{EaKQ<0x=-6UZyZL&ot>B z{yb`F0IJ~ad)X<~NS#Ur>A#r3l&?5D2S%KdE} zgA0a~$zsG9C@Ka2xn25MxH3!bg92SjjRZkN9Yg%!mZ@+kEbd0vVJBmB&$@PSr2knhJWSn)gu{2 z#;uub9WMGppe82id?1Ss9T$+7cU(3bO)vlnSSIL$@d8enF2OD!6T@sLe+I%}5E*eT zDUJhF$Xd1x>_%1z9xkCePdoE^{^YkE&ix6f-{VivC*JQvcm8h^#9|E$=1!3ZhF}Lz zMR3(ugei-1Y5+@CYB)7?gLjwBWsyAfXp@_tgYu6&vB_wm(o7&(9=J=uB7|b0ztG_$ zvY;nix7`Sm`&D-a*iw`nud);*G;-odIa4${xMSO4Sb(YMZ;DUxzlgGob`1 zOJC+#<8c1UrMZGHwAZ*OFD<*-d;mr_V_}PYCKaw;P624Du^4EcQ}6=`d6K-IRV*1< z46W}!NuvGT$obQleCVQafy-T-D$l==X%zASk5YiT_KcgRum9n*i1T8m!y?$@s9$WM zV)bNytmkvmJP-LyL&m^|zrdT_@vfPbg~F#@5npzAs+&!Naa)opL@I@|R#Q$}ufo1K zI+?)wrt1#GSi;=DREMOa*UQ$LnNp9C3O4&knj(kuFC&QeLS_sQ5^)3VQ}RAW*4ML4 z(zizcE-`DBzdPPKt*~G=iTdCN8lgZ9_+-zm@#jv6_v*q5hu%ayO_)r8+Tyo}qt}Ad zhsz3+*6+t>$G&%GWBUttxJN+#RQIDkK-Qjk$=bfh+K5ZD=m$z3kMl|b zTbl|AA7jbws$EaE`>y8epIEo|>=C|Fm3%}3Ku~-X<<+0-!b7KY5x3%H$`2i0jhlT_ za$8593$)^1o68q>G0unL_2vm@g|0p5m*cPN!dL-4NainGWeU#Cat#Ct9O+nbKB>f) z(3>&JzL!aUok5eTN=T_}%J#Al&HCl6a!MLDtDK6Y*B5+AR0RSme3D+&-k>HrFZ}cU zCy3zYtHyD2#WnrgR7>VJe)so?-*N*EyP&X5`rdsIj^Vokt*Xj#`xjA@CS)yXr0ysB zMe5_(#;6rXr5DmayY z(QBPHSZO-cq9sfD-sOOFXAn$*lS^KqSt?x{O*kwm9s{j-&Zgii=M@L_%_BS|fgcg- z>I+8#JXJm5Li@J3@t#J(^G^;v?bneNYx9c>s5y)LGB;bZf7&7yeiWeJQN`u3e{uOeg4AJUex{nYH4Czfho?kz z7n2`}s+5|PeDVisU}6a)agh-+*Qp=jj>D1>8+}!3C?R2h(GsaC*aQ-z(%;}ja2w5w zX!y7bynPjO7~*ZN1JhLO`0gRfe=ihwa=hC5;Kx&S{@FK&c9VK6+6Jq*fpP5flD@XY z$Q0+#Zil~p;9y%UB&_sRzDiyFUB{)#=4Z7c8-fTYs>oH4S3^Q1-j8fud>Y)SXvI9a zrNg6@#~AveAS&kg`DP>GROlH*H`onK@>?b=vF6oI)k>CI2fn*s`pkO8>e@hkYF) zFN~!f8u$I~fs<0HHtcpNu(#;XmFy?e#e{{1zkCZ2+l-3Q!IddO7HwWl>F+!)c_R47}90}2ZvEmSOhQCkYq{p3YwcdyI) ztzjt6U5|vaX7ry+7y~JdSJHX6h4nj!eF97_2lIJKO6ui)yl>aiCH>63T8u08OXj|c zo0RM9L-();Ske$~r97Ep+M>VyX8HTb#VK2g63cF{W=a04baX8N1$>k3$>wyLQ^j~$ zX8V?pCns;&P$}|l2BuXYJ%Yu7D!SAq6XaVRcAGZe-s3S5sO_Eg#@F}Zwm|j5OX!V& z<|y<_6kXobAPEcI`q_C}sJeQ2AwBu=7;Y5uY`1Fy4r=n%u-!oFLfw~A#Sa=AHLTbz zDGMKU9UQTWrrz0-`27ymQy%msG5eg%1b-*`ZrTDAl0=)ADlA~*v7KpJzTb#<(Cotwyt z=cQwxmC3BTOw!kwsd;xV1N?v8mLlC6k|E)RZqdB|V+hvlHU`_wJKF>j_l7v!JhX3+b)D1Sq~ux2*pb8P=(n__H%@m2psvc;qD{$&%) zJo*oy?Qbjio)iC4VJC&OmJ;pD9+q^ikwY)q`WUsuH|dPE)$o`cQ&YO%stYluhE`Rx zt=}b)E?EZ5Ae5J>9&>s!2KFl_Mo-e${op`d#jp2~B4!2SXr-`%j(-D(kxMQJ9i{6N z#b^~+V)tOR3D@Cz94t}3z2ZTK&!P8+g%o$*dg?;9jZSVPWH##aPP9I=g8;l;E)>_% zG~C;KU`^hjJIN3AnQ27mJs#}nhYF>Fzuij|M)V?25smf^Qo8F)*|x5*;ZxY(b_#1z z={5jS0HU_u1e+SM{AK^H>xiS#xIco4?mkKm)g~e-Eve^*bo77{vp0}V5d~fu9lIud z2SM3o8UC~5vD%r7RYY1FHwdx3p>hJ^?htwJP^{>Xhn_;I1Om-d zM>*4MNM%zZ4TSQ=YYfQc48QU7z8*2|Pl>E>ur+I9>Z}o`n&yRB^}D=dltnw&a6jU7 zXox1C83~_iX?c;*7yhb#s;Kw6Po8KCJ?kn#joUnPx?-j4N3v_W-$1?6isFkxz{5rv{YG+m9=Kxgv0Nnzlm()9 z+wk?U(kKG4CFGCYUHJ$)E1>qOGVl<>N5>Pe(S7Y0Qz28F!H}c01r&Km+ntmjbT{HC z!4}`YMQZS#aBzhLATV4 z+Lxysjsu#A-?nBz6Z^t;p22JlgcfUK9!N+uLy@lZ^YCay^85XeJe$U&(xsL>n%F^! zn(K>(=!|lb1HtBxKd;9!6+ zE=@H=A1fv|?#{QO*#qr?SkOz6N?aHd%gnjgPkqC;5tU{ZhNd=m8=6#>L0*^!rW{hL z_7HT{3tk@Y(ouATHG9x8d!EKD^61^74?mA44gLBZn|dxRs01>d6Uh~1&fm9#jlas z#tf=Ak#DS+=2Q}K+?;?*MG?f=l9yV~T!fuI@$!U2_GN!C!F5F5hXcPjkCSOS;}F2( z^PJnrI_hLfKOw9G6|hOUuhn018|Uk^&4P*FeY&R|Kj%)=Yv`&JaA z17aGvp2M~AjmoTazGw;D+dAo_r>A!sxsDPGXRzA;57MnCGst~+?q6dZ4O?JrWnVi# zRiW(w$zER{V|LT^_Ef`G+o=UHVi1f8?7}C7w|(c*?KHh&*Wr1N`7gRB6ofcu;5zsF zN$^rH*tdz}tUTU^G=?OGghxtj`I3QwM@%sQF@Wd;hXEzf;$*?9B*+*4T(viYq%3Tl zf1yc2z+h4T4^3AY7FE}^rMtUB=>{3PrCSN9p+g#^hLY}*?v!qj9=f}`5rzg~=<ceytf*FM)sE5uehYV%aeNec*fDX#Xi}o>YN#l*OL?53PvU+3sX3`1`ysuCOIfFh20##*5%tpK=3OUBT!Qx^=M7=KZLI^1ng(&^6p-IGQw>7V=Nkp`P zcqge1@hPNrT+h25)OM4|A@Uhpp(4cn|EmNxR1P3zE34)-UrXOgaA4=cB$lvvqJdk5-M0b;lSE zzZHb~I{#ZsPnrD6liB3t_$QeS1ls4g{_?6SWoGtcLIP>yh(R@c%ox(jkhuBdt_U6d zI$*c7h7DU(#^U*vW9Hyt4uHclO5jtsLO`A2hdoDXT3!10Ds95Z^|ghKZF-bM9IBIJ z%AOz$GyVPqvNNSTkQXk%!C-z1Nx+h{_2KdOMkAY8w3Z?8jpsDqje(v0--z^8Xmz!T z$6<-;`7atr?fZmcat)lrwSH8Ady*^h5K=~&>$H(u`L~*6_&M#Rm06n+&~|N6BS=9O zPL^zO{bV^-KR-j+ThHh5({Hz40#VX$r{cfZV9eH?dV-864WD;EiB4os);9}= zz;L4&=sY+#Bn2Eh_)Ip2%`(-DIrN_$o_*@qfU8o6M`-OrjzWEfvp24kiaI7*rW`X&*vf*7U^ zq5fFW2ln3kOA~?v&a@9;;CPgt*p=MoyfYAcHT`_<8Easu*anYBo?@{ghk_eXxqHji z$u%U{kOHgDDP405M6VZ+xS1d!;$J|a$(2dz=*NYYLW`m zyD)|!9+Go*5@JU2P8QGr1MzAp^J~nMHvcsb?tX^^){5SwvT#5hE7#F}Ffz2UQB<^f zub{Wo^eLGm4thSX(fo8kFK%2ge^C1{CX+CEw7ph!Z@&>$I=1>M7y~#}n!R+|5;xUd z-hEy^hn7AlPW{kdhK_8PDcMY>}?X4g>yeJIFNj{v2in7JeehQd%c*IrN%kj zNuBLK{mu}9o*==w=P*oQjJ{x*9NkIR-OajB$Odw{%vN1Zu~ccRt5$1CM+by*lZu@SG_@jT?;GC=& zZ-c|kHk$aT%?)Pyw2}KCMWkcL@$lUSF8yUNo!QS=b-WK9D=~nm>-)QmOJ?>F?a^H)~W4dUXCVwjfvNc!o6C+0Upd2 zeSUM(6G~N=#Q`ef0pcUejkoAMH*k`%XpWL548u?!_w=;pN?@4tax*%4J8!$*3TM0C z)>H%;`uVO0D|+EjK~Uq(mU2)AA1SlVQba(Za$ z3%EEHB{q#G$AR6FzL{}SKmWfE*=A@Hk;lVQnyHDEBP%&_R9Ff4-0u`$XDn9RS(jN` z>$cq-7BBvgyF<}`CpNnF<6r%jm!HDUX%kMEkf%-CsY=@{EkeDf1yF9$!iqR;8LZ1Q zImb(7!YVpRHOYsy$R+VT)fhE|#9~N9;>~PBmjTtY1f*DsfAqha5&X=_GMH(GUiMQQ zmuKtNJL_cD)g_f{ReD(SGHzuBORT|maKSDVf~pyPZ$!)__0-oMU}a@@Fyel1H; zHS7Yz6dMsV*gF3j1gC{mRn=CpuZ}_H(?~3|p=6xZi;eqg6g)WGis=6&Fni&BaNkUs z(qb7LLmf&`U6X?buOqz`0;T%b?ENpem_<8LM6Jd-20y#|LDu*df8 ze0eh4q>eLzfPgj&F$pm$P{R3dk#YvJJnDx2zr+5;j_0z1MhAmDTOh+|T9iy1-2lCm z;8@$xl-jJ{k2|uAVK6(cQz+8kAgDAs3WbQuO3(?eIreMA1yIAHZ6aaBy%X7&Z>nQ!Q3JCRks8E8Z* z1$4l{34K*3h3sDjETMTg(WuRX!^HE=m-(Z*Ogi_qM6W8D1!m+dy%rPK+0YzO zFOa2;Jp0&j_NV@n?;&6LGT;w6&*h|~q=YZrmboptt4FOY?-a>YPqsw$n`;e`hIE z26s7?r>FlD0A*$xu!PR&xz~vpXh#oK36eyg{b4a$8XyHI>dbrU8#q7uTg9=U`erQQ zukzZok5VmBg3rujw0qurc_`An?E;4fZe`Tl_7`#Z`a)8wS+1n-?*$|Ak)1@Dy67cH z$IxVUTaAC&EDoVV5b`;KWP6duopx z84LJpPByuqA&}8t5eNIzjiRMA%>yFajvMhXAIVGth-_#f#GrA^fTywsM$`lyo#y5Y zbkyb#Mc`QdJE6vCR&2S%i0{h90zvR?TF*1ZlPDgq$V zk*V^m?O{M%`q1(Kyh;K3xB%ReqNAgTNe5~w7Xg1z$+mj`=(0?{6ZS*VW@Mh4?R|Ce zsRU5SaUII#)5k)?VU8JX@8|t~ENzaQjrp40vC;D+hKh{<&GH}r?wiCqnV9Av#U7Ze zcx2fi@7{oA0TJ7-*U=lA?~vtQKX*`+e|YJ};^8$Y^nkqa$CA)uYU2oJ3>DjIU4JdQ z*_^IINIhq+qB)CJ4c{RQ0>q^tsc~&&T)-$-1HKeJ45zJ@^_v7@pTAnwA3&GC4l(j~ z)7)@w(Gd2$}^eYeCiI^Z;MVzd5P5 z;m{Vj-+c-Ygs}pmHcLdKap&XHpLg5cgBJ_#=oag>3lKXyK$;SSzG-Ute$OfhR-@sj$;!-k@o@9)$oo>exTmCrN0?{p=YX=|{w%H`F2|xG3Uz5)XQ`}Ugmel5( zp>0IJ6~`qzod&(0_(&G}Ve*=pmP>6-Ve67{;WEnk_|eN>xh zYYQg-YTjemZQvmVP_}@&+c|y&-r?5)-#$c9*9f7|bngXZi+=H*m6ayZ(bVB=_(8ZG3%wEcTAG=czmT{6{isPwu7k z@OjVasjnk;=x;K{ExHE7e`ZhVOH_Sm2jYlqxyW8_kJBP_n z4b_%g0eh$KLjN3v{LV;EaeWSD!T9#`fg6tMH`6R9j(Lk%qmNVlhcmR1Mo*;Ngi&}6 z1&+`pN8?D}NApoCJ`ewYf{xUzw$FE6{%rra_Zx;I$%xVypC>JEmS{IbCZ7&t#v{8c z&=wZJlt&$znLXQ(%<#O3OF7S!xsu6A2m+>L z`im0zG{7!s&Y?(r_TK+QSTWfl>iC1dEH>{NpJ%WVBrFq!G%Y7dz^Tzrn3!VyrKx^0 z5WhGkgNa6zKTB6U%zpidtE67R@rK}Y;W)(B8O`%|wmY`jMirzcY|B<{9{$lT(~oO8 zjUKm?`)b3HZ~TB;Xf3zREtgrJzBt?c7^Y3D{+9riYlw(>(@Bo#x&M2!?^7sv&7#zl&wd4HHT{6Rsfv!Uh)64Tw<(9_Y@SzguCYx_5J&oekf+sg}N z)|8~>Ib*H=1T(=pO|qi^d2XfF$8K;5S@JFI(Y{)(z9tc-!smC1uJa4G$iPDq;yTC6 z-7q*id(`e)_aO?qMR_wek-vs%?)ogrC@r=@97BtShz-@k!tpC9h?&BmnQ13m+Y>Oi zO2J&v==CoJSHOinNxiPD0VQF?59hmE{L-OL!No40zp6L=>n)aohvu(rL#al3V&UaN{g-Jj?j_5P63i=YY>z0Y6X; zRECS$dr6H`qezjoPKquIY9zdrjb1~{n|M#(GRk-J!rpRo{9IuRGgt~j>=Rm|pb|5( zSPC*oC7O#|L%TExAKx+{dtE2@D&v@I^>o^RieKs>Ry3TQv(V?GDWby zbBuS}f>N<6B*hGNr2e94B-$owjdvs9Tqb(LnTpY6mO)aVwP20$G!%uk^!%iIHd*g_e z$?nwcaHAe6TfuNi`k(1$&h95OU7Or+`}YPP>Yd7e<}+2c!NBDx-)!u+bu$5~Ri9!5 z{Qo1s)fhMgVuG^cA69tNxJ{9D*nDuEx}zqH9BpRKRqx%8d$?Xo1T-vu4Id*Z%0I7kxuOS-iGx!vH~#ECF&mkCl)F0tSxdpR()A zP$bMA8;piq6C=+c5Ne;$7wc6Z|LY600$Oqcsh)A|?))HbNlA7{G5mNZ26 zstiw=ATirA5cpVB_^XhPfq{teI%I7EUNgTYR0o5%I=@)w0Q-Az)gpU4Jox;Q0~9mNl5X)2N#+FXm~MM&Cx~aU;YnUZ|b}R4_?H582 zz-mJ5>-p4a*Y+Pqux38fnilNRI3o3?V4N9zy^v(!G$hAGxIXKyeJ>@|z$@Xjdkv z_cPD=3#rOTi44LqM4GL|B_V)tWPK=cch?lj-*lK$L{>$?O!7)6J!{JVkXiB5d3QZR zDxsKpb`}aPuk(Al8u=4SI@8mDo3}X8{QU~~I_FNPQntM_nyLfZ{&8+_ZH|w-EcQ(W<1AlxzV))ZtENf8A{%WI$(;N4W)+85LBnm zeI7K=T@T>dpZo!Oc}fc~9sapZ22#Qt@NEdC}ASC(pj2r0Q;J(n_8?2o{}px#iM+&Q^9PDls}F3>|Zc|`fo41`Uf zq-_=<4AwGViEI!dFX?CWa_vwH-Nc}_CGZ3{#mXOGB{VCN^!MDFT!}l!c`#i4$jIyR z<%i+n1OlWlxhH#%k7zLbp>Wc&{YAVQ@Jb7X`+@G=tu@nQMYh0sjP>#?W83&p ztNZiZ3kTW^^{KQwi`mqRc*DmJL{SuC((`TdT*9SY2{K)g!xLk#yDQ>wdx&~aG9u(X zyQ3RFX|jK_V=3YgD|_0d_$qhu=XV7tFJ+8ZLoG99)2l>Sch$;`}X z9aR>;xr)Sf0?Z%SkB+V{^zw>nG_Vs=G^ysWOEGlRpxGWaV*cHbexs9K@WoNEloh}K z%ncQ$Oh{N9=#U4{t7@eu1j6fhDUncz^I?FE4}r?wP*n$E=P`1?_N>nRvQ4DQL@jxD zD;b%l9}~Z2iZmFYGA}h1NAU%H^v^V`X;21Pvom^y&v`=JMpH91`tmxl$O5w1>!1BeLqPs~7`Y;H1MbNAd9e zi!Bimzga@kq3b4{AE2Awm z{f#j~jx8h;2DF&;2hLF+CRTiMC#>RFdnP|Wcx{4PnW6OLXUp%zuT)uo5DLCmsX+Eo zBn4E(o~KH>-{WtjIX!zw>*5dZJENcjI1o)OA?6=>%axTQ$-LKvp+~WavUy%zLts)4 zda}k=9?cNK=12e$Z?5i*;;k;Dg#@_t`=OnYQEG8wN@AK*weRKB63M%3k*Q8N3AjCj z5)U72@^|U>h4RuVRf&V~j%htGaU?qhrM_L; z{>MFfIh>NaWLfQceEU4(8Dd7SV^5pVM*IBPFj@_Kv>r*3+%*H_z2Vfb8$Apr-5;Fi zsQg||1z#q}CnIpwPB98B8d^a{@^jcS2*fdt5>l{4AN7&{LQo_=<04)&M{JNnV zOOdmH;H4vu@4z8jS&ggn%TWVor9T=ShX57t)Q)mt|FHtx(cXm#EqB=ris!+o%kQW=#breh3~G@D(j8jl4j=hP|HA3G_?J`srJi zFRWGmcM#J5YF(7|LQs{&)KH6rb=~A8#+<3SviIN|yV3NQz z&T}eSjvGEDjrKo11n{er=^3RHXu0bzRdYfBo2^(ve(A_CPpG@-Dk`daj*>;_LAckR zQ?-m~)sYwwfOilUoGhGvePYP#r^mX47aech6uaOc?_r(O$QJhfqVp%v%tPy9>PXscCNtg$hnC_?XE zkp&Y zTt8$WV*C(*&IEcsD*Y=4xr1+4Y^poj--o4|o|D1Xu6h=)Oz(qHf^GpOI5Cqtlvv)< zUlBy>$ltI+Sq%$RrQ{JY6ipAw8MW=PjW}{lPahu5KfepynuT(pkd`89=B6^Czu*WN z3W!U=UH0@pJ5uWIt~g6z2GJ%1XW<9N-cp3RKyDK+|SSWg`^ zvC25={CrK7zNt(oF`53F@5ZVX*|8aS>#UsgIq@_A_)_sZEk zRo=tt?smZC5Wd||-^p6%u=9G9rakcKc^t;b@qQZ7>(iUmqvY%O+mjKxxpC35_rAWG zrsBT@6S0l^eCyrs1c@|jZgztw%Ac;s))iW;v%F=gWq`tv=rKiJz*ys@q#@jVkzUm2 zjr5nFk-kSW#-7Tm(M~Sn>$}^fl!pKU!hzegvGK~n_ZI>el``1ppP`=cmk~1*)jd%g z_t#Q%Eq38!^~~*euQCq)C9bW*e8enu&RzP5iiYM;PUMy(F^vW{U0T{{v#Hr=D&_e1 zSjf$RcEb~{!|RAM3E&6fI|+2yTvC3Q;hq^(O@@h$1k8%X1R{svH5CK$oRhiFW5y2_ zyTQqWe1`r%9AKd{RB1n=dH-Lq6q-C=SwmVuCWi-b5&-UMVcmuN?=Si4)lh`yp8J|@ zZr*U?s#@czA=oEDnXg@rJO%Uo{M$!I3+CBO!8nN*KD?XWv&N+Db|cP zq%Lln0E0uoAb>jE>k#{NxpJE~^Lq<>wO_5J*hZyrY>K=5Rg}ha&E&Gp!su;W3oGD9 zaC;NddwEf(JLrDSRW{E#=12I`DNI;ok6`NnWT5TFsRo;u$>bMRb;$bb&83ZZkOtwi zg1SHJgiu|eDaKo!hIc6mM1sd#1o_-7V7m^U#ZDY~+Dq3jLumFGsar`SIX#|x*3!f8{p2gCh2bcL6VOO z{hJ|4C z^kjngL|f3pleo{PZ&9}XtVfPN(tESsCGBH@r890_@6H`)p}Lf}YWq&z|4~8kMg_rA z3h1B7`Pz>a)&l+)dg@UP3-YD_gwFv8h)Re76cxb=EZapf(+YaTg%tcq$O#cf$A0}` zTl6cDdnV0^tIgxi>eOg(X(|AHT1NlUtxr2_vs719e}&Ii(Ne69@{i;9P4fv(=L|&! zviCF3{pYs}9YZ^L9Ynd$<0Qq;QyfbZQmlTlB24_#Ft~Pb;N~L}3`t?oa^=~3Z*qZN zmS@TeiIzXZQDv*P4*ByD7*WB8hJz z2&s>o5oFo-xM=9fAkR(83Y8_scr+cF0BN#Y6_SqvoZmTe{TFTxS~(I(GG5Dd@E zzust3d#I{5#qv;5-<7n#KazBRB763P^Pf{X@Sfw0fU!V=I1|N&4R*kT;~u}>KUMTl z%GwuhK-VigaqAN?2Oa>BuY^e*)rlLr!Q;nctF`YUiR+v%J|681hd+#79IZPR={+7_g@ufp=ov0OT(c9wqjnFlSCd8NIG=jS$=u%5L=~61P8~1t z)11I1m}C2CExUHWQZDzrz(FZND3k*#3>{YyUQfW=-V0R`C4Q09v%{APJpaF9s5w;h ztPr2cXU=aMNU`+UD&F1K-#E|ZBSCCb;S6|qc(I7>7B3O^DYXc%khlK*$uPM7D8{%9 z`FWKHU`M8J7^vp*Gp>CCJZ1aUa$~#HnFRef!qQ6)W(80^_^!-(d~ueQpk^LixcQtp z+>}bRWuqxoF}~=x1n#lFB%OL7*xjo9_n>jJd)iv=I2)!~VLF-7XJ5$x=D z$i~WXFCj)9HgRqe0Tv?_kcI{D{?3TY`zae&H7|^(1dva_a0Pi;i|yHi?zkQzq}`0G z+HMMVweYMT%lUo6P{bl&!6#zP8d=t1Xo9{%_k5TMmiY*h-@t?=xSY(SjnrqlY5ujR}=Q zCDCnX!7Ne*G;-kG`CB3fUmQ}?6`L2Vr@q96V`;RI{MNGB{fmQ=e004`0T>ctL}WT*MpUjW9)TKd7_=gcj8 zfHn$f-IbILi)6y2p=~|sM%{{6PfX!;h$0Rmxec4ZZk4r3 zw~J~)*}oz7r1Wh)UHfd|V zbdX-(@m%DX;`S_01<-Lxc-1J2xxPmu%&O}EH4t;sCi(z0&f!4@;Vn+q)YjS%;yri! zPenprRYZKBlbgrZ4#!qOrrN7kf{R_BjC>zu9UI~TT%u&J$Q@I(!wLk+*XoYj;5s;) zF&b%B&x6CB6GXl=0+;~Z3$xfy>Ur9w67Wn0(pF9*4OkFn2dM))?S7N8u0xCx7s#akR|4g$R#jRf+SJ_J4~k|E z`ko&N+aA$flTOrL!j~;`Zw{)uD0oR$VJp{34?$B-OFMj;1B|x>e@NBJxP~j`9-#USFXR||N3)= ziuGf&>+6XKh%AW78)8!=OoFgfe+(k{W9Z-El*K8GB)u@SjfB2!A zPO|1h&`%M(-QD9e#kE_?TDv!(OJV#E68ujQORoCqg@y8jm-9C{qvv3-E|D3KQ1Cum z-W4>sMH_t4YHRk(+wJi37mQ{*{_xZ{xoUeR(nyCB`yn{eRcjaVlp!$e^sOcGTBqy+Kl(_P3w3t%VWAl}2g%{THl_N0e&lcg83&FFFHL>6 z)<5O#(qIqzWId8QuL!GZGdLUR;69&SR>n9si8ytd3z=JK&CsYL(INkG?lg;NFv+}j z`4i!odbucW5X0&F8mgj4B)xT#@6|ezc^*vesnOLZ%Vmv%uescep0QrG-45=COWEGn zMjxH}pk2_=9BN7>;kzdsRfenAzYCr@wBIIrVb}6qEc-aLQaK84d3G(nQiV%Zw<2^f z#4>p=HFwT+mjDg#8}19mqCdM>lZO}le{|6e_v&m3m%yFRziy5>5Y$~lBE@Tau#rLR z>`~%^32fr+At3`{x*tdMd=Tw1qy&EvvsYd#A;J5(`pa2e5Na>50o;fz%r2e%#u87w zOT2E`+|~i+8Qq(aSI7H{rue2e=B3oBTZ#VAoWrOwu= zR3tPTsV_F@u+J;}nOmo;JG0l%0C%mA1@F5%9`(27PiC#I-j5C&7tc!ciE6Y{3Iw!b zEKCko@SYb}O}1YrwpCxdtoBOe6m{Ig*ZREaUzV{fBx^=l73227j;q?ei;u6G5K@z7 z1QdbGZqf}_M{nxFCM5F2xCc=KJ-7qqYxND97j>#Hhv{@c4yxRKmrml~`6TTdZ~dg7 z@d*T@lM#Dn7uzm+h|Rae!VP(@f4)P4O~mH9sxLYj_?8D02UEKPFnM`3A1!HcU*y~DHbODivB(7vU522+8b`7V3B6Q^ z{=PZh(6GnZA#n2Kakz}3=Mf5nwx!Li`#H@&B4O2>4~i>Oww$+D_>|v zMKSD3Kn}*GOhM-#MKqrrTwDiZ*f`YaI+0i6!_n=~8Qcvi4YsY{r;%&rVnDgAzYc+k z5>2HG=~{MgS$Wx{y)-EDQow0UOy?i<^A~i zMhA!*DvxD$Q0Ry($F6WtEY(kz;iro+?TW1~bA~Q!Z80)xUZ+$0)qR32Oac;|(aCWe z%R@d$$Als&3!-XQUJ;wiLCA0@*>`+-G9ik(B@FbD2p6{xorXE_xxX$$2eKw~xCW2+ zvnehy;~Ho%y+0Dn>xbD4s!nHA6#Me|v%bFPV}h#h{obPCkLUG~>MrH2o73dvR|=uk z`MNjCo2FR3pO&^QU$Y(8^+9;9>6XZuOhsh7u%ndc)YG@!H*VTrW`$54|>sr6#FYp*X`QT#Wa){A&!iE#I zHXvAuv&vK^50A)x9IYpHh~FJ*{*FMGq>$}WXjr1HpmQm@63&|x&-ZHxKi6mzeKu1H zXNZU#H8C;5JghYKGj1G+@4Tiv>o(4Jd#Xh3=fX)OBJ+_kQ`OujMRRi>_5G!dzlefjV7MMtE?D>PKa~}??Uzq>eELQI`ukQ&m(Cpi z6HwOKmR%i#-#X?(k?T16uon;D5$*# zdLiYA#2}sHwraBe^#IVgh!@#F{s27qn7SA|zcY_RjFz$BkvfM4X{QBK7kAfx-JA** zUFu0C%fg$n0{hZGk(#aRElowYVn({Ux+*Ixn{rGBcvN@l!$6`@C8W;T*TzuD_JW2L9v{U>!T4nCmZDsSV+W(gLEn0rH<&1EpSQzH!22@nk zwR63vAxujtPP)Cmu9VN++3Q7=Hud&WM>~<~lTNRj3WSRqE#FR=B>h+vR=3+6aMa!- z5TiA%kkE!<@GC2BaZG@DFTa82GMZiKUA2o`2f;T-{*BGe)$TLPwU^^e4#@mBU>+-W3!-nXPxEG==u3!xfuNgZVPn_J$o*t&fs{$Jm(9~^f+ zKiww0lS@{ExblF|msQ&NSu-_(0Fir^IfOl`nknd+u@dG1zQOdm(9&6oZD*azvzL=M zmt?^u)dCz(J2~IP6wJa}6v0GvK@h-8(4;!=re38fF_;{KkGjXw%qNDmw(5Od5G(p} z_ovZ4ivV=bB<#zYB8{|}F&~Kv{6t-6^&=V?yQG~b zY};d#w{X>FwLyG=+zL~H#urI62LiVqD10}j$8T2`o=50c!?1h`2#DndWxTgGMj}oJ z|4fcdZq0TkX5k^l_);T>codwG;PqRfe=07Kg#sU=u|fVGHt%!Ek#?z!0r4&qU)8%a zBBt zrdZ+IuOI(o*)2@eO;XqMa%-mK|g^xn!z z9O4~u{+>K|bv;XJH?3(&D5*JXN{}SM4Va+d;vatgfr0;Z+gc(anyUJUP*TEN6NHQW zKi~3N`lU~CqCqtQ1KM1NL!nD`D|D4v3@;4y9b zEGp0E-(^mR{dgY*4ASFO)0^6d<8S1yK{ReKsQ}DLeM4SrYL3sgAJ5VX{6R=bcI4cy z{!9UnNwjp@$O2{>=L9S5B}c(-93(|>?HgZ;RSeoA(lNI-g1%Y_#8Dv0vJ^bDILV60 zQky>uK`A{EWGqGgYm$Cn99wPskPxlpPRyX}6tN+1Rs?cYw0xw*=S`-moJKA5tmG6c z;Kaf|^eUtX7ReVu{nBgP>JA%V9o0G-=T%>!H(x4bZ*`=@II?yz!t^=onY;yg#3EQt zRV2LyhKALO-*GBP2Pmxx9pv0{MA-i4^j#MyLw|JBvvcWr5rT}g%_?2~y6Ve=0h=(J zAH&N;6`S}i0uYTw0^6qKUD1+J3|O`wnON_E2^4$W)t5L0PTfd;TO=hQ^;Ub5%mk~l zNSTXPN%O6{Okg^!dMx#DSvgKa(U)@w9A2EY{l_wfNl(zQ8RGhNJrL6bX%7Kpc>MG` zaT~b;MNj>=V9pm)E)I$`B9qCXcz4nKMhX=~S6J7E3+Ok{GPt5<+@|k|hIGY5i%I5R zAqWe6?tStc`d=rt9t~0m>%ay?K+@}RtGu&Ss=U@x9RcTRPjPXc?8Bt8-+zz|3GkvZ zcIWaG#Ym>zt+Y`{`bNiEDL|Vfe1pk`^kt-FQ!;9WlUfP}vz6{{o*sQ~pwVWr3Z3|| zbg)*PE|gb;huDgX!-dSKh6pjpn61*9vIU&2i(FMvT`rQOm5S2cm68Abj#m!+n^bFj zs*|UBHm`}Q?G-L=`ab>f7xR6JuHks|7eZVPyG3M)geXW~S_@HEh`Z7+2m~sV{h4XF zix*cNC^pn?vsw7R=xU@qaD7U;xXx5B%+?>G)5CmW6xnWUIiriN<^qPk3w8VhuOP5E z#vj&C8rYon?TA=T`?qA0#)@isibMoogiQxCzJL7tJb(4%>}=p?eX)=MX58kCgzvD% zTm`WUWhsUl70+Z)*baABJ=>Q-Bu3v%hLg7uPKe5w7eq-g0*D^GtB2naR@co`f-fCb zAp(p;a}zQx`UMYb(^n3(9A)S?af*^(5k=$laIHjU-YsA`xl!F^4*4Jn*W zW@y}ZIROT^QP|wGYs$0vVAZjsJ~+lbuq;^ErrD_=V4NER0%5d4RK2>;JmBfoxNyD` zVDz=@Xhe%KP0sz{dUvbH@$FjxUCbCO!1)GI3x7wt7ZDm(vpb3?%G(zfo~FwOC9%yf-Yw%uPe~+n7w9_a=Xvx{=Ojs=;n#54@J5|i<7Zja zQ0^~f5qp1KjE`yEy$I1BG0@+sA#kGg~@A~zg8|)*p}AK(f?Q+i!cQWCr<<=AeEvu zxEd5?OX-JNkUXFR-^*P5t+^ODR*qc1{{<>#-8MOn^S#pQj39*+_IQ@7%;$H> z--&|ck?E9r9`sES#iCF!cE*u|Y<6AIAKGn!jG)u{gE#1K)(2i+H+-)`i}_?vpC51* z?{wWICHB6G1{DY6!+Nx%K|TfDNpcDnQJ1vg77kLRrzvf0%G{!~Hj}}_?xko)awIZZ zul7<5U+(w!!{ECTvylzpkjeOlMqs2Ed4F0&%gUmlTQVQt zxGGL*q!xVcH{niWB}8M^;&zAWPyuQMN+3BpgyJadAHOa@#Di;Hb?x}Zcmo4#ckn?6 z7bi7kfr>Ezt>>@#<+n<%jw-a9?V+IS4-V8!Bxy~vO|;V34c9kq+0q5qmEvJR5l&6x zk6rc`2mg(>u9-7JA*oxHvOU-aU{@QJpZ(#{1VK*A^v%YwCHkc*HhrVr)Ek;`VeYf$ zsL0-*Aa-$bSIj=qk)KzoOk#k)+&?)dsTKGmUK}SGT#OTt#67%|H^C=I zVXZYFKk1~yjb^zsD}X7?CQ#oNg8AEu6sJhuLgivGKDx`@wC1~SHC*s%Mq*`T>NP(S z`WJA$^Ze&U2L*;|tQ5y?)m$CPLbNHembK^-QdY~k(#o9-MUG+4ldyBBzh z#Q#yqbx>p6ju=4Nb4DmPq>>J1&(Gu3XiY!buyW)8pUp24^c|!0YVVe=gGAr=Nlk+#!mEDwk?r---^$T@ z9r2E$2F8(1HCVC38eP@Cq!}SFou1U{82fTg{A?7*a>>Oc{>04fMQ#-J)$Ci42@IY% zpaU&1pQVqVUTN(Uo&?IO%N9C)E9(o_Mbo60iWqTXX%uq$?ZfuqYlpeT+h+p0#s~Qa zYqRkw)>>!)S?L0Tw#%PnCvE^^&EVBx!29Y+2427lFjU0E@5X2;nUo_m)6nqatCb zusGj5%Ms|pBcy1|8;_`(nXzAmjUtUO8j2(&ds@fFFP%kE8YOJ~g=`-eOHO`lEwgjo z;ql(|CulYiVG691nAKY3M{JagPy~Yj_Le{Xu?+Ued7Xmk>`Gr0QhxWR&e4Ax6IqS( zZ~((*lr;A%8-vjCh~%}?Hz(8Hmg$Mz21rt}JH-i?^~^V+|D)_L1KMDk22d0$?pmx^ zp}0$dQi`{@JE1tmfI$W~X2GCN@kQ|E0Aw=uI zYbO+cvR1DuHZJ|t?S1KL;NrTcwnHegMArju{tR)KW?9yk$46yIz6M@T(x@*nt-r~h z6~&H5p}XdH`4Cg<)Mi|8rX#Hqj|LNxUbI zJt$Q8J*#?uh*_fNg1;5BRN3tKl?Z~I`DtdIooYbi4)fu5{2DLqn9c0?KG(yM1BIBY z0A!jx>}g0hg_>AGXjyfnJmRD+hU#Rcy~dbo5H_bJBzruL$*j^R(z&VHuG^dl(ih&a zb}TXy2_oKT#eV*0pM-V21t3RGxb zWuENE9F?DX<3+1Mu!4FW1ygp|DMeR-GG z79r^f7)MBsY6*Oa`TM$|FqN)Myr&2G#S!A^^*ZkxP5``AU1kIvHNAb8S*P|@fJdw- z-N7OA#D30nr28T_F&QHpDyCh&K53cg5CWpxxI3YE_ncYiw!Z&x(irpo@|{!GI1mu> z-Ak7GM7Lv{$J92Qu;kZE0sI`Ek6*tMNZ-33mE{{{rAcA8!gn^=4m~cG@o7j|Wi(}2 ze`BcpsyEA&^H6t;6R#kUF%Ie%^ijw*ku2Oyo`cF>v;Ifj4; zHt+a^5m`y-jad85QY|Vs}@-8@nMVAL~kFiM#nOr$-@aL0kd-_~Lg=fWVBO^^-K<=?9U z={D({tGTOr$*=w9Pqm;Mr!jCj{m#>Mq_K4~+7fsnEN~l%55EFa6MZy+V-lw~F1fR) zA1iIx6Lpfb)&lULV+o0mNZZF=44&j@68kLDN9zb#$@ZeacxnCAaeg-Nf8!5>Q!-9X zv|e3}Jy7Etui%EH-Z`;qgABNqyVz8}1|wdd7UD6Lj>Q!XLv6G!+fX5iF|iOD0ly); zNQq^7vFV2CujZ8IHd1WlnV}q$RpmXMj&BQ@y15Y1`0_{7{?lhTx29A7?$^&7XTN}$ zx$*wz-GOiZ59gx$DN8b5(|zAk3opSm!UD(>;}y#)n1m5lP76p`V9`9|cRmlkUkokp zQ3JQYvkO6=WmSv{JuZSuwJ!uBsQmU-v~MP&2aa6=$_K6LaR@qmREl#1fRh=aCwBep z@TDU6Ej8+nB>^7NVI1YK@OHTa@m%3&W`API2F(v#rC6moM*6IrJFuP9rwP!1`9O`; z*<`ao|D9-+BHlA^icA45)cdIgbQ5QAInOKhujbp?hpn}fuwk&n$!o^J?iHk;<*NlQ zB2p39m>l*H_9<|=^av0jYpV5BvC}$TX9IY{hBP$k_t|aY?mfZt@y5SjF3f6pO)Vs4!uU09xmLv{3>$YOqh}QB1=S|9z?_*;n{N_UgMvM2z4m&(W=HD!i#RL$h`cnyB<4+c3MM09rV#ry5>~5z;GyInc&l^ zF9AVJeECG53r3~eat7NPK6NMBBF-YoxN;NfL;ch*!K6;&s21xtrNzW{7FbOh$~m%9 zRx{nDq>cM{7E=3U2iCgPt9r|BMK`bo>- zcu(I#b_GWVQ4PbaEc8kHKq*UE=~E16ZFIK8DipWPR0d?@#>qL^I%-^T-tA=fx3t)D ziCP%xtZU}NSlfqvWUVLs0>p&x-!;!BwQ|{E$Aa3#q6BL(F)?va;f0&H+V5f}s1dOk z$^TPs86timI*_hGF*Xg?L+r_?2HU=p?fl|y}EHb*Dgq7T;ry7MU)W?P^In=cw zlKl1EFB3{_^xZ}Id~{)YVj+T}#h5cDonZE@U|SHY@HzH#IHP6=2ua7hbmf!)6_@gI zWX0AIVI}&6JHJ5YT-SofguhubVaqxP+BwkR!U$S9z&^n6|xv>WRt5R$Zcj#1B}g*#AWviR*US_>~rVRbk-;)q)o8%;(R5R0CEUWg$%<8a50 zG>ql;Q%IM4`3L(~@;aw%qF8~8>v{6EGO3q*@Nd?89!S$v#LfE$`uj0^CB$QL708;5 zCR0Sc32RZ4$EeR4JH#kiBFfQA)bBqW;{o75HXW2%`FZxj&V+b@j#52VkkN0>+jiZ{ z;Ka4D-|ZZEgvEZ2cpb(vm>TMoaEoDw$j?DbvFSJrlsP|M(kKg7i>LccHZi^q+bsLY z;Py@nB32t*1KH|9zciJ8T3~UJ_6NbWRdjAJrEIMyjLx7MF&-D~F!3tMX^f)@T%`h_gj&|htOvOiqg@v2~@Vy=UVa#NO zmD2*_4lwJBTGpRzbq8=NADA7JJ{&*yw*%FqAWixSiBh~?p2OtWCj$#W*=DiKA{EvD z&(L_xr%nASyFx&x4{+g$Fw{KZ+X-q7<5_=b5?H%U#9@=*2fNSA*o1UaZCatNjG2y( z4#R1P6$aL6gvZv5t)LxYh_@Ej*=Wb~vOI%oXgELb`C&ywX>ae8+eLhiZ4e3gZ^Ke` zvxEb8W3U>l&kN5N!gUnS{9upy?m$JCJWVA2)SfG>ng0xjntrF2Rj~dnpSw~Fc|Ia6 z9m#ZMKdTFuKvG!rNCfDA3gzh|2_d@%V zGY;xZlp}wk3p!o2FK^kiDas~=T^3doUz}YgGAWd2||3u8lD#^_}97nbX_OG5}XAW4wtz%7x z#1o$NH8Ud;ASmM&5w#GGNqP+JDZHhwbvkQfS%mJ_i-4}Mkoo0W%L*&r!xz%;cCU2W z%F5LV@!#22^>k=x^@Qd%&*~h3$}y5S;9P>_$6s(;KV`^PVeLQZW?os}7J7bmrR zSJrPMNcrp;RZ@94hd-z3hNqE_Koh-kXdFP9e=#HN&`IXp<{ z<%}#AXO4luHwXvwcJIJThZ2jj(o+UoLDm-lX8*1tuAqc-_xZc}D0Vnwq+?-uhz4r4koLdYh(vED>N@Ec>W_zu_f*4uHzD$I?cErpi|9J<&sn0dT|K^rFlKv|!WQ|&>!{=u{|Fj-o-9Tyu;O)QWiQn|n zCygcWj5(uU@F5WsxnaE6UPFD6`pM>EdrhqsG)!^^7ayWprg8( zdV8`NhpISMWR7cB7mXTV@w~zK|B5A$h_TV{w6v^xqAU`W^_3%vcc7ZJh)EiU8Pqv# zxLQ@M0KX+!1C(u;^i08`QJ8Yh0mS zk-S7UOFbQD2*!}8{)*;y%-g4M?LIR`au9;Y$~=tuKeryGdd}0 z(7Z%Yq!E`tq^NY=(B5uls(-YBTe!L)V6fcm2fS}pO-<-guqhmufDsJP`rk5AY6Y}s!3KDVSO+oNSHTj9i|IPW*Nz86QnmYwBE96`z+LfEcFHkt-XRaoEqbM>e1+4GQdaZ|~niUn^-UjT9b&q1<7OcD?ixJ4p8ITGQ}Y3(q~xx(By8vMzc&sZ2Y=naov1eTcm2~k z{{riHikgb*{baZEZ{l~pS8#zcfZRCo$q#Av{1FDhlYC^VjblZiH$R;QE^3I%nofxC zxRWs=JEO%TO;}Ganc)xn!!GT~$vbjKC2p_5onk6#cMZI}c9>8&Tb z##_+*HTY>I5c!1!ce+QTnP{zwFC0ZYPfpfx1FUcjKIA)xl;s8Dzv`LZ99+Md>7S;N zn~#~!3nUJ(JkWYa=k*>oLNXl`b31uJ-2T3 z{0q5LQ~&F^E6L&+tR{%WV4GI{&`pL#Pg;MZVHI|C%#b@8;&NJM(`T7IqrbgXR)f^j zD6nw*rY5v6PEstK8H=fOb!g|V*CZR!t!9LfIjMXI&TXEPFi`&o%-c)5!0>g<{#3+H z@EKt`J^gpU{uViS((<~X6XVQ$^6n(~F7Ex~p$S-m00sa-2faQY)_YBF-q8j6W1OGe zfjB^D6TY?tJ~rJKR6wKuaXc57!PfrBuZ_s&D+5b;2pshhtY9NhtR#!rjl^I^JO zyYODHO{C*psXafo5K zt$<3)Bq}6f9FwhO-na8_iNx#Za19+HVH0yXI;*ZzU}YY#C&f30-k!pg=?0aFao<}P zOGwAx>>$a`Jp)U~=ABuTi^%zG=b-{5T;!Yz{>ncG1N?{g|DCqH1;DNlvl(rR*m|j0 z-0y92uxHfy-^bgBX`;kqA+y|&lcAN-`wNTVkjs*mP=$R%U&PGI%E(m1%T~mi_g=Iq zdS495qNDyHsCKt?czF!?B2k^`;)YI&GaBV(?!7;sA7EQx`;)Y34Q%LQ4cC_UF{iNy zEc1`av>Lt~Yv0|nGfMY5$i40bf5PzYkx^rU2Xq}Il8AeYdv&{AZ+c1Izb4RkgghV~ zH3o&Zay{p!3!4K%=t)+|AVxCr>G=tr{h#bfyF-1R5b-QrY~_=Rp;6U`dxN)Uj{<*o2D_MhEW3`D`=#h81K05F~NXHjji5%yn(X)Bi>1 zKiBg0?!k$Nw=h5ZXYvyqk?;5(P5UoAK11Gy>o9%y&$^ncll*ECva~lh;5ShY*jiEd z16Q{+c*t_vAO|bsj;{gm*gW126B>SLrAeddiKgy;p=5k6)l;ScB=DyWAqeL zY^yH!V4(gQ9oLJ|A{F6ak+vOFaaYg0S2gX6jd(D2jB_UA;CgUfxck8k2J4#EGTx#T zLR7|k0y+Nxf2d&*_!a~ks`kl`09}5w-QUwulK~a!b-wWTPX_I$_-3Ry?{}O%8jX#E z|JVvPlF!j3)`KxORY6C#+3L2Q1~jQ~Lkyx%P~+*5wLb#9y!>{a4eoy}bt^XKXIEj5 z_&$2bXJ2Q}(7U_}ItV899gvD%hT(M4AIbaVDD2D)5ZnewA|6MG7VoMi9HRy(zm>A< z&Bb6(SICWQCAt<+2mD;PI0=oHm>hW5{d*GQ`%d?JZ+pgzb?n&ErhoF8I#o`QLwR&()x?m4%VL_xGMjdk)j$=-V%+;=*Ik-GiI zgtNG+H1d2-s)xz%{y9J&B<9AcIjv0uNeDZgVlP@ba&sU2H=;28<%6Mewu$375pQhb zqb=DdM;`WU9+g9=@f!(Q4oVLR^g?cR%egnUCi6FQB*DP~k>6k}NM0s^k@HJuExx~x zgqpBKQoKy%sNbZ0Pv8s$J&7O?$Ylo#9b}vHrSDue3zJ#k43i1H@_frsUVQ>oDG(Ui zV5{oA-zn+#`T@rJ;$)*_&zCK*LS3*%FQkhUIK~ClF#{chBBmA0SPrh2(FY_5h~am9 zJ$UaNgeB6mxl%4^1oF;5+gZT-vPv@i0+mujz^-Z0OTo&$Wy$7EFy}!J-?YZ9^}j-! zT_>R3hm#tpj&;B)Yj5*1yImSVRg@JE(I5=+gOWQW*Yu%qM z&S#-Tyxp&Jy5Rx9Day`f#NV1@24 z!@gG+e!D#WAT7 zIp#a^>1m#??6J|`*VH~%<>92QtE;6YDc{l3vbYZDUcbKpIS;$a;9YQ7Z^_XSe|&qj zUK^@-{Ks%=B2oSGGxLNq5|34RHf+-a|4?yVYJ|Vl64ea&B{(siabBt4QPU_{d1mgX zZNr@G_2DVB@ydkIvx`;^ERI&y8S7H zY_P?e0-3m|1JYhkFKi!pT&!}8pHQ{|!CqPQ47LE&ze}E-r-uc|W$Q=o*wCw)nhb?2 zEz{0E*PXxQ9rJE{zng1oCq=2uQjAL9eONir&7bedzv`-;oxMBjkT&uDQa_%rL6G(V zqykP3!xNY^qI-X{v3;%hzlBeR(o5b#5Rt(rTvSMe8? zW`#CqBF@9509&6C`D$9I>3`?oI1yk0&dW*^BdHemRz3dPc>gqoa`o7AgJP{0(@Z!a*@dB#tGgYD~CBzl6v}A_hK!x)08 zui}rW$RY)Fy-8yIrEXfHS+Tp|`Yo@OrcURA1}iTG*ml9#A3)Q#JY>ncnRJ}jhl5>EAGD`P{V@EkM*8h&;hV=Vhoef6*C+RD|mMiB6n3ViR{@}b1 z!O+V4X|)r_+EQS60k{=MxVw(Wu`3X5Un1%w+UL^fh$8fN2ZJ!iCSxd>^S+_CuGtJR zBXR%2$R?fXS$Nq1R+ZM#27sZr!wB*9+njGwPyn99R5t0DVU+1f%DAALybD+ znu)E)sS2jL)Y1}%kNUJ55cP3toJjEckb?V>IWd21{|-gsVBZANR=pXBC@KL6&?wYT ztmWXmd+bZxhp3b+_94Mf9L)TAW#5kM#ZNoq6Ro_>PJTEzYLHm|sZL>_CL z=EGE~X<)$3>9VA^hZY;BZ(ey_z1K@+F3lqIP|u3qzHz)S>qBF$_6y$_AbUc&HV?xF zB(ah=b@k5@*_t#M%KS~SBw1avF>yYV_Jy2iR%_tX;INv>Pv;vLl<)VgNBW+=jt+Co zoWI6Lz7!POI8=V&VoRO8Gun>1G}C;{KX$cC*r6fUh}Y#0Kfwbdp$OUvhJNHcCv7B< z7p37PpF@tzYIQnC2`wtJA0Ibuci!1(JO6vSehsrh+~T;6qpeqToLBuIV2pP_g#2Z3 zUD)6Gm#fP1Xh?!r#g_nWz zl)p^Fzt|I0#$pq{*9RcfuoPn(n5wG+jYg!jLl8sxE*3wh_UoLjZRifu&*~HS^p1eH zv$JE5zaHA&XWX9If$*r_+CD~A^07UkIv4$u#RC-qVG@Mz9i=&jlz4CpEqoRP>j ztV$8d?0gOWk4hnOt{}O0f#BC_V5Kim*w6dz$6%eGSRN|sltXa@4 z*yEZ|fgU_<#?V9R(55_{945#*%x*4)sz#2QN`c_u1Waxo&aVmoXaVIFacPE1iZJDB zJ=EjZrAozN_|aC$XgyxMD!kisi!j11^?whX^yEJ<|2K6fklc(WmV?}0kVjg$P_GIP zaF%A-wV*F#G=~^FSXTa8G3>*y-At+}xFT`De{`6abpXk^n6JoJ>?eO1{POSN(twgD zgQKvJE%+}AR+!fmU7ZURR|b6x3~c4nFYbo0x;Y}Go`rokxIRjgG4hPuRw|f%b3EFf zBsKsgLX<5d%@&4+qTBIi>M_veXGAsn*^p#XiL;W8aIG03f>KsIJTyWdymelPnQRYR zvU?=h{Axisv&7;J9;)n!B9i@2B*l4N^(6|wt;TbJ6urxh11w3i*=~7nb`6HzdT`p0+4J|wVF+Md+~(&o7A*kx2LNgMJKG?Nrpr{AD|v3KGn#&9v&uoN zm~9J1z;S&vXHAwc!SH~CpIGL9&>O*ofQ)R8po_Br4D|00m#R*yOWBM%`C#Gz$&C}* z-TZDp8lrT98C1-=3`xvDC{4r;I!R}$uNx@xMmC9U_MP(Au@sDM*Y3obX{*TDLVBg> zHY`M%0z$&?!?1UBig9)(9~{S1g^U93*juaBi;|UWLEn~6;M9@%+0E#T2^j|D=GDCR zU(~X?D9wXMq(jCyG(TcB;5U9=QT&=_!DfbA97D~bgoDTh0L^xvY?>%%>AdXulccZo z*)Ob);_C;2KEux+DnHyf;5;NCd0;l7l3?36(cq$Z&pY~sM;H79YtQ=T+c)0 z>%RD2FYc3#-}Pl}wcqU##s8L< zYml5$of;jqZgp{k_$0OUeB6>(LIT_D(Onz0`=^`Kebry-l(ed zN#;_LsYlEnrD*r^^*`$iF*JK*efx^Z&a zungM?znKmI$j=cC3~+y9Cm&M+s&!j`EQN0wBXeN(!59bBL3>BZdY|a(Hc8rQ;4MTQ zoA^f_JbsHSR+=LOTs&{L_0$2kOHq{>v%`{kb>zIE^avfqnL-hV*RKm9AKxemmrI+h z#Ylh*hS%@BicRDJBJFmzUY2G$Z4%+ENFn4FgXdUB%O5_&m<|_Xh1i0 z6jY)OVH<|mgUcE{g@t2OCdJTmHc3E&ot}{%%}4UlL%trNTe}iFC3Ph|uv}Jzz?C+D zX!A*kD2oW|A1GWB0%ok2)~z?K#wBXxL7(@~eNe+*e(=dKy!`(8Hzz0OiFRVB2{+T- zpkQKJ^rat5C1>_O0)%q;@R9?F)m?J3pXs|KY@0h$g_Z!gyWidaAy-zz{t2%fAvVsB zBmV=ld%IP0c;FLmsURh=s-yAo?|2+N4@DNrQ&@^C+s4~J6bND7!>a=s(9R%jN#@!z z(hp+;8Ud_`%Ciq&xlcGv^~M1zI1|EPUgskpu>2Dff@piWfPyCZu1S`|&^ZYx-c0Kx z4cGZPp0q2Ul7V0AL-#UVLwE+Pu`T1F(MW-~CtsK4A$m)=HjhhV% zXyQI8I=k9|rl9iR6njNDCWkoYu84p+nNLy<^E@nFu z>A6VIrB;(+4OUv0vo5at{$Wy;^|AQI{^m_t6N}~mwCZ;o3Zvpz#`m={pscr4d;0;q z&#?()vkLG9F?|J!r?7)VUw!W?I<%&0Z+>0E_Rj32RL(~5pQKa%PWT;533_OO;?U9% z{|^O)FvUgpFjz=fn2WU7k)KFOXr6F3M`=-n*C#ntKS$Qr+9BAwO+-y#`be#$U2MZ; zbH;4aGoEv36&kK3Ng%@T#>NzfhD%sg@Q3Oy3v38l<+NtqzD$pYXlndacl75)(x{=*kx+>$$L~U>9m_EK0m0_?)?&W^Q72Ii- z2AnQ!xVvnI4fHk}twO3lwE77~MVu(UP{@Ik|NR~`nK>c#C6*kc!|Vn>U0bW`fJ0Y9p?Z?Ec|rTdPH;xqwfKe5Rh z*!I+`!}JT=QB3V+U&HMRfS_=ig|~S;z`!rBkx}&oJ}qQTz6J}p27*2Xwj}&|ZAtup z1eJkKhA2@tWs>VCD%EVPZm^!`VZ>1C!xvd6ReYaMewhOH~Lp|8}pbS;Vf0 znS_Om+_Dskjb(};FKB;YZQ~H?e8?8d=Fq|6_?a9QfEat{T8Ir;IlA7Efn|)Be)%{n zh2p_Vq#HzG%4mB$UPAiY%^d~GwWdxK}Ag+xh)XI9x)z`=*OoE zdCgwaQtR6HZr5-lyJNOc;EP$7K2~QiC&w%W_(p*HS@Xi0 zNvtf!v51b!!3uo{2`WO{9FAqBu z8Ya)q`7fm+l}g|@@yDOvJ9u(-y2&t62*AI_KBE*jMX!{%`Gn`(Nc`X5K4AWgPk2~(15@7pefyP5-hU?)a(=yeE<|_f*qoIE??8!-vftx)l83HvYU1bi%e)rVn-y$Hbc7v%GGGoW%f<7g=>0D8ai;_o zES9$K(of6k0zviM(^j7YQCE*|d%Rgh<#`VzzGP89qxvV9YutXR_uVI|92mMl zr_1-e+~Ie;pHRirh@L{|y+>YEuFvx2SR!tXBSK893s4j1qv$b#!=Z@$(rbqypc3ri+uQMe_~#x%kcJ0wdMVLODzDt*7F^#+l2h8RF>3HnHu0<|Uc zS)M{{RtTkoQz$B3^KD^@0l7Jo3xRKL`xl)-QpYLo*#K;ww>3sO|?07V81jd^BNc| zE^1N|=K8naIc!h~qa?XyN+?-1(@Rr^+B%rOGw{#tD6(RkHGxc&N7T$dv|f-mnQal`Vu8%Oh+pc_Fec9R!7kreVur;wmV%W>68V}=25a)fECD|p zttg#20y9(%g-iC}b2-zD2YqUq?H-J~aUg!iIuS%rGal~F>mDoQMHXe;KZBKgFdeKg zZKf}Q%j_J*OWJ8%fT#3kMxN-1HrXv^?qUfG(fb$%fHB7qpP{jr%*34eiP-roa=&tE zt+!GvtAk1y!KE_AHL^6t)}a2k}DXyW%s^Ln1i zI&3P9q~7>X=tDa>vpR$e)^R1K7(;yh4-w6bJi^4Kv^$%#(nL01p5i`l6zQq5X-#WQ z>I%^{4*u-Ga9bC-oL5dW^P2SmB^z{wF|O2f(^6oN-OOI|%eGe01XD`BZ2yiXo2<^O z!F_78-SJQ|Y%g;EFKoZ}9;W!WyfL5v*DM(cD%iolq>iuo(+a5pEK8l%3jQiMgFfmS zG`exn!q~_MgyIC+gEr@{)pGatVdyt~Vw0K7OZ6vchC((5G!ygF8}J`s*{n1QOlD5* zxA$?CJ?QPUE!!voN*X=67=+_W?(x_4vw`7IW^>RHg+8EgYXCO)6p3J|2`AbjB-}7{ zQe~UQwkHo%w)w9PpUJFGxadqlpICWF*?1mUd02U{py7C11kMM) zPNs-TP76q;NKOlbNhiYQ;$b1MmX_V09wuWr%wyu~)R4PFIZkLe6*TAc^vu8u(JB@; zMNTVR_uPESGXS;*o(Y1nH~{Q zUOrgBVfAjq)sCoUFNfd2gSKh-?dHDY&k=gh1iSpK$T@!PJ)-cn@#UOclBbMhTDP9s z!S9cT14M?knxFtmVmh$MBS`f7NK6G7YYn6WAWHFCWoeo1T{ARl`d}4`z5jbDK=^|N zhKiLMQr8NTkGOt3Dx`4}H5@O>yB94*?^m7{sIjlf{>N+a`R^smnQ-R|Jm(#_qtdG& zRMUEFjLEl1`TJZmDNx?ESc-BmV`B-7#gY>k++s2B8rkdRWC$NXrMbQ^boF&(J3sC~ z-j3tM1D}%jcn6Ph@EfrMrI%p41Ln8~5eoUYmn~qwD5$>x(z{uhB9zPkKShMW0(AFV zA6^Sx5?$U-L=WCWygNy^5O<95S*Lki5M^g;z2l${pl4vF2w+1nd{tY6B@dI&Mkvf} z!FxrLFULA;{MqWB?g=qw>WAYTInSXeDSDP&+K{jqsK+u#%b$kr32{=1=|9cAd0UOq zb$BjF)SexgJU)(u2Dm9A%m?B?8H#?;^sApBQviHKAM#c`oHmUE0fP?#qZ%sbeNf|D zciUbl;jz=)dpjLTxM0BwT=hM6*%tJR+~Z3XG0xvQAj{xEECvW7*l5E2yOO7rS{t(W znPLn_BsneAoTl6W*?S+g-VpgEk2*-sS_wLdO=r%2PYJ(Ed-Tz_MAwE?mp&yv+#zI)>m;diSC0E)4XIT1pnZbV8=I}D5(6E}49A;FR*HgT&Sl0qnnL7sCyUrtet88%KfwE~=Z zbc9kM?EoWczXZ7&r=}sc_{-g7uZeKrn$|~c`!ash@v5`7NwXJ1x>Ijl*v|2(FT#ty zq`{jjn=dCg+4F@kixm=HdJe0G+@d1@m4TbdrRA9e`3*!#l9#yzsa_C_c~%yAbUv16 zMe@+7tW!>qf)7`k>k<~cnyXozZOg7?thpKt7$Dqj-(*C|ITY=b=PRSGQ5mvA!m$NUF_j!`sO z!ORvEPH`Vy*MzEeJee%-Vuez&a$r4J)@AHCuE&OSGWc~EgbhkND&xI3rpBq+mMOs^ zBbX^10+XM1uk`!^_AbCGSAK7_iuId|PD@!y}tMw_~mPM19xbo`BKc6xU9J6`cS z&3C?k9iARHJG@R-n(OQ9fByXWWv|`q9Mb8{Cm`Uave6y*6!+8Pcxf_Agn$mx3LHlS zs}ZX0ur7__2zh<<_v@gmwOOY=9-h+1)hI0mb-;KttqB_8e~X5N(`>gP@we|< zWQncZR#*NS{1ey2{^JSwV*(nChx$K#F#ru>djV!!z>FIp0|3IE%K_ZQi;jCjKny#l zP4F)NEyn|iNBESu_-eqx=9E3^xYB}Le45Blc#G0`-YHlu5O~lzl!LHV?8=76*Ub)S z4UclJz01Ub*ExF52UehO0W*70$G`(JFuc~9lV>)Q8`zp7@|bh2Gn|vQjE)#F`W4T) zT{|4MhOn2yeZb(Vqp7>_&W7!sUl;Z{~^*nO|;ND1zU z7NYAr(ZV)R3zq$o{KDqybVO#4e3e>DdG?<|dn~g@|1eZ{h~MVvLCOB))`FYS)oLFr zPXruz;{V}hojD>z*O+Jk$Os4D=ipsz#GVnS)k9?9*(E|NAW-|(LJg{eP(X=gY``}e zY7}xH;FflwaOXP$g1u0mACeD|YguQV1-VEpt90aoG5hm;xI>LM0r6Ys2UDJRckJg_ znh5yGA|JOL?J7*_A+-=S!^<~GP&2=6wWm*pomMnABKz-X$OT#GW)rjvvyL4P$KM}G9#AyrL@y4*JbOCP$>aP`e=+r(U%L_5NBlpd zw9aj$d2O?VLM%WJ-skFT$I4AL}Znuc5TR@Wj@S)y9sm@7h-TsZy@dD!`0ZV@msm zPHTp|ZZ1?Uh8t}w@mngA96bHe3nkQts|#{>u*?ekwhRVII8@@~+HG;vX|iO@Hv}<3 zP3V;klF(3u4^mDG9RW$#49Ib%f}6^F(Isd4-$PzqB1thUism6!bd`_@VKWRyllbao z+%F?~J~e_*MHRI0I6kE?88Uwz<8XC_c7Eeh5Qx=-bHtUpWOzPzSQxV}6iKz<^Bm3C zv%S@*hE;+Y%k%&*4dY52#nC$Q_S&?cSx1ZG+|qdg7FUD3t_KQ~MUZD_blkV4Zyon0 zacA>9qQ+|hMzvmQ7CUz5kH8XEU_LnQ{Ng(@!7b(1kGRL0D!c(yfoKg-x7u^pX@KJe zbaUWI0i-b1)-ZO5iqN84d*dDYsG}&tD!*6#=0ayhwHuvUy}B4imo`Vg{-G9eMCxSu z{2jgMlNG-YD-ftP(H;5M{Z(wQ;2XWxi0;8lJlOxBth;y&d7=ZIl;5oi&aX3;vBafS zZEPm3*e0*aF>U;<>|qshPRlH)>cn#_)6c{WGLT;nFH%~z+5DXYoKCcner7#{xqt1V zx+#>|7CbALIB#Vbp3iztlTL8I7!gfo99}Ju-+bEy)+YQYQ%mR;c0u%70EuJ(9`^Lbdy_sz4{W!7aJov9}`&s#Uy zD|^YLc|CebdEbmdUm=W0Jn2qG&mSZ%{4=AUzb34;0dZz(O%X0`|5nLdPbL>DMXy*H z^ofUKL(L@808Q|0Qmilo)%wl@bX2?N_LV32z5)D+FN;VdST4zfT36N7O@abJlnR)t z<51raZwu4!B*nz}%8uaRE2vd6{BT1QwZ^D?)w-dn1#e{~=GZZENKW3%eC4gosSpeo zAw&?oXtQO$!R&l&$PJ_rwMs5M0{fnh8+rUm4{^boaRc4%kHvZ^9h0rMr`x0tG@qmt zbbGYfOIO}e=e|HNnO9yh?*l#ol}!_>AqUuQ>*Cw*pHW{f@;jf(-{Y_FIc{p+#XQR@ z--sH=G&F%SUs42z-B>`a7G0en3W)EZTbNI~IX!|+4pgBJU|6>n!khx!AQ173q5=#% z*ZBYMClpoudU{QmaM1J{%dPZLRth%LRMgxuoJpZm z(Oja;>oQ@8W>!;Y+EpdNv}oG2<~>maFSDshQq7f@2N8=8HI~|^qGGnO{omd{=g;}^ zzURE>Jm=IEmc+QBUFhE-=*AXSg@vDN(YJgP`u)I>hGq-d?&ulY&5`S*_oiCD(DiiU z^S|gXigTe2#{-eLl@4&bO8}Y5x;W?n@pSPlS$E`9Y;|6EZ(l;Gs9cB6X70px&D|Yz z$fir`Gj#sbUAmVK4XA!C#O!L`4B!y9^HlGft5ITd5RSZt7^VdvI&SNwX? zcmcl3AK^Vlc0&qc%fQaUH8XWsM^0y!=93jU%^)|0^+d7_i+wsAG{_F2_NR61u3Ig$ z>K(B^;9`!D_EECQa+won@z<(IC;#_eX{0}1V;(tAv0q=xe@0!0a`F0gwf%z$s3`S= zt|)nuHV=f)RKu^tOIhTmi}OX!SRY;Q-CJ#qsb&-&RtTpJe|xQ2XrOW!MFY(ZmzYcS zwO9jr&|ONTee9XTLxFs3orJgT7Is(mYx58EiB6I7r5!1{oc!3L&7q(oFHAWMo8og- zM$=0tXu-VHaX8lk)|UA&x%D_^ec9qq6L}Ssn@~u;uc+sIjT&ayBDMsbh*mzK+P=;oX06+}woh66flz&FGt!0WR>C>8CDEV zCmCPUjB^AholKcT84PbDONa*F$65doKpef-7iy>vcL>K%2`j`B-uU zOf79pDzssZF{xXF>Uog)@ndRJ(%uf-^qJiu=U#OS|NNLa+b9|mX0g^a*vSjb@V3j7 z_obk#qWZB|T`daddH>75l;Bn(K;Q-sBG2ePUHVkbp!;UqeFV=E&W5%noXT)>lr`*` zKW(^*FpI;TX-*Sn?D0z7A=YQ~LwL0Y^eDEUY_{||B$kyL1b*gTO0er)*!oFj$Us?>Nc5902xG0Jc=&eGYyd#p1m94p`#8b@LvByPNMh7%hB=O*=rql03^0XK1H_-Lb+Yf{fG*u1)Ye|C2sezEI zEsw!9#154+b5!WpzZcbJ^|3joyYF^a5%ZH~t2HMxO-%kVd|)RERrwC`oW!*wXa|2% zjTkMAPY+z2n$5HAL!=~1)#l*FmxPrXRFsue%fi@7=`J0WlRYAI4T{LW`RtzRmrRmw zvRj5bMcGkm$W#2Ozps)r6CN7``q!uXDLJ$2BJ6*ma#V2PkK7oG0=|!4&Q9d8y?BIC z>`jk)MW5J50Q-n7AD8KCjfv6HEi)_!4z@nx=S43TVLIlmO^y9{UhWP+J-vFP47Rc zM`GQnC40SOj6aN{si%fA#~!BLKUduZ)W%F44$g{ewUs}OZ>ettu6JfgmLK+pDg6H_ O;}?D;-#VY@^M3=ly7!F$