From 39d870cf18286013e7737d01c4c52df8dd3a7418 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Florian=20F=C3=BCrrutter?= <90468339+FlorianFuerrutter@users.noreply.github.com> Date: Wed, 20 Mar 2024 18:29:08 +0100 Subject: [PATCH] typo --- README.md | 10 +- .../figure-commonmark/cell-3-output-2.png | Bin 9710 -> 12490 bytes src/examples/0_hello_circuit.ipynb | 227 +- src/examples/1_editing_and_masking.ipynb | 231 +- src/examples/2_unitary_compilation.ipynb | 14 +- src/examples/3_dataset_and_fineTune.ipynb | 5918 ++++++++++++++++- src/index.ipynb | 20 +- 7 files changed, 6218 insertions(+), 202 deletions(-) diff --git a/README.md b/README.md index 3f23151..a376db3 100644 --- a/README.md +++ b/README.md @@ -51,7 +51,7 @@ pipeline = DiffusionPipeline.from_config_file(model_path, "cpu") pipeline.scheduler.set_timesteps(20) out_tensor = generate_srv_tensors(pipeline, "Generate SRV: [1,1,1,2,2]", samples=1, system_size=5, num_of_qubits=5, max_gates=16, g=7.5) -qc_list, _, svr_list = convert_tensors_to_srvs(out_tensor, pipeline.gate_pool) +qc_list, _, srv_list = convert_tensors_to_srvs(out_tensor, pipeline.gate_pool) ``` [INFO]: `genQC.models.unet_qc.QC_Cond_UNet` instantiated from given config on cpu. @@ -59,7 +59,7 @@ qc_list, _, svr_list = convert_tensors_to_srvs(out_tensor, pipeline.gate_pool) [INFO]: `genQC.models.frozen_open_clip.CachedFrozenOpenCLIPEmbedder`. No save_path` provided. No state dict loaded. ``` python -print(f"is SRV {svr_list[0]}") +print(f"is SRV {srv_list[0]}") qc_list[0].draw("mpl", style="clifford") ``` @@ -116,11 +116,11 @@ cuda support, see [pytorch.org/get-started/locally](https://pytorch.org/get-started/locally/). **Requirements:** `genQC` depends on `python` (min. version 3.9) and the -librarys: `torch`, `numpy`, `matplotlib`, `scipy`, `pandas`, +libraries: `torch`, `numpy`, `matplotlib`, `scipy`, `pandas`, `omegaconf`, `qiskit`, `tqdm`, `joblib`, `open_clip_torch`, `ipywidgets` and `pylatexenc`. All can be installed with `pip`. In `src/RELEASES.md` -[\[doc\]](https://florianfuerrutter.github.io/genQC/RELEASES.html) and -the release descriptions specific tested-on versions are listed. +[\[doc\]](https://florianfuerrutter.github.io/genQC/src/RELEASES.html) +and the release descriptions specific tested-on versions are listed. #### 3. Run example diff --git a/index_files/figure-commonmark/cell-3-output-2.png b/index_files/figure-commonmark/cell-3-output-2.png index 3735d62008e0e764cb58f51756d5384f2298704b..689d553c4b7e0b06e15890342671bb697b5c01de 100644 GIT binary patch literal 12490 zcmdU#cTiLRpY9KWh|*M4dM^q{?;s%3yHcb#5fCDvbO@m+QdFe(s)Q1%bO}w2fOHHH zYCxn0NI+>qDEILD?(F^TZ?@f?-JQ9AFk~|4BqyhQp67YJpP2gwn$(w=E&%{Qt*xbI z1OVqG0D#1kf*gFOeNSfu{3qw5Zti33>Fne0;N=A9JNP_%>gn^;^$~}klb5%vr-y{F ztg!fPjwe1o&%EVDMBM**17S}u7ZDEP$ye}0EZvHsT37hVFAto#0 zlTNIMSZ_m_lRx_?)}wh^bF$9Jig(TJ4gK2>9SrKxWVga29*>HVcyT)<9vnaKh20ZR z%8=X6X~~W2zC-RMJV*O@xgXlL0&VM_-wkR#2Of*bTkLu8IH|}Tz@N?#D@qCgZ#B|M z06>GgAAG;yiZcL&eWw7=&gUl)i~wLS`GpGHjp_e~%{wP;0N~HhT^+2VpV@q#LvD`IvnHT^2&OoGE`txS206+hCxOUQ_k9~HAOTevf!e3jub}Ow<`hFq2zHDGy5&spVtv<3zS65)&z&J$Ko zqBj)zT1~iFkG9ZGNtKDODd7mmFLv}_3L4EyWjXNWDN6Ez^EDF;u3hG?^CtX|2%)7{ z>ZrD~dc0<5=4q#&Ay z$t5KvT5NHe3*B*MZf>QqDdcm^7ev?}51O4+)+>F`oy>w=$k_IU!t>e%#$=+}_yCGm zCDam9Qc?nfg2oyekFlg+g?aV8 zo}M11acw=lWFLogS9f>Q=g+IrXmp+L`a@qozfw3{t#QWdjevl_H9ES3gQ~;m(b=Ur zX}k@(S+mfB?w&E-m$IK>r_-a7I)sP(+=ZvU`inTieV4Lnf;bRycQi7CRl!dy@%5WG zMC;=B9cwR@mHUr2T$D$u9lLkd%BtKpCaM$R8yinyYsPu#5kuvQq0p1<_k!|TrSHf- z*|0kBF$J_@Hqo1S9#i&uax%>Vn`ySuN_W~R8}hKr(Nm({i_yC=N**(^d3}m(ao}T@<^VhDMZj-d6tB=-Dbw8{4JqfHz zX^OjBAM)!G^3sZPM{-mq=|x8$J3G7W6R;%i%=HdM;4_jqI*B8GHhTDw54`D;ldtKg zKdV%DG}i`0F1*vF4KOY?7;A$O&y{vAdEq9i9l`ygD~-ch^_t}szF6M8$IU0b)wml& zCv;_-DOy+S(%Ol}<7L;4x>qXLl}@HCrX}1Og)1{4e7)X*PeQ_2NJyx(v=rSExGijs z86AZa3C)IyCg$e1qEOHMEOd3>XuM^3-g9zxZ9`8_!XOum2}$8F2H(6pMPiQWK734d zGUJc{%Xf3ra>$vpuZ%UUYbI-t9c0oUqPm>l5&TfYJ>BBdv-fUpZYGwNrRr~P@GC3Z zC7M`RAWX|1_TU@H&qX@cwA^hTIOn^{jVl&8Y{x2xuJ|pT{Mq|KAMtVB^Bt$%)t_+s zKDGpjlZ4@GOU1%*KA{;{(?7*~pGkPt@DHv>TPK9N8ieWS=p^UnRvsP(>F3Csjuac3 z+1lnV_h%H$%vcMVf4qw>Omm83ku&O!V{d;P3a%SEy1JB_xRFjVa)>53{|T~S4B07W7AOifNsPBnQKr{1>UDjq=~k@AIwg|2<6LINTpX7274 za9xz1ic0uUwHR>^Z>*xCV(!L%J4)43%#idXGX1hkMd<9LG=nhj1Elxh=kay{)5G#p z$1V~ME;Zk%C*Y0^p6xrfg6{6_rDbKtdU|h*^qZftomzP`sng!s3S(koO3uj<(hk}l zknvp|=2SdfEpR|6Fw~5|PxsBxbRu>kgBkM|(R0|x6>+QL{vSryQ$mQTyEADUlIv3O z$(I|@07nUnZPmVbRMYCta+c>Ba=mh7u_tM_;{v<&#|`jRrV*0Qf??<1bV5?Qic=>oJS20mov6Dv|fj~@EJ4V&i)cB0s z_~Xj#j!Ttx5r(ed+3Pyb*mFrh=DOCLjexs3AMYveC!W)#6|#)gv;;0}P{j_dUA)oB zZ=%6-ojG$J8wDltmsG$XN3D>kPuA%P@EE$Ahj$d6Y8avk_=vcemoGk>usIJgk(H9Eo7`cM#GnS@kq8~?SVGt>q-4m8h}guIYcHe^y1f9iA& zxO@%V5bdWk)nFC05*<1XYS%cec^srmyKx{fG3Pzv3J_+`-LDq2zg9Tc;!BV;%Ab|v zV*PU;>HW?moi2L{04R9L0nKnTrTCDOwI4708QqJ^k6VAMJlnef+`Vi>lG02TNN8m{dnpVQmZ^Bw8CJ~}&FIaX%YH~;L(_VR#V8ZK>R zHf6^B#4|1PR;*S{?uA~gA3@v$0J!u=qcYak-1PI5Y~qv-ORR;{iu5u*fNRqFuWt77 z-%EX_#>U**nPQHSt*;K>7g&|bUY?b%WJbb7)~i!!T5Z}8L%wWQxM6l_?A5MP z0O+_j=Fo-rgW%AGUQO1P?IEq1nVBZ0ro3r=g=n-3+a0cMfDWkFDA{iDuHyf<$Wt#68bXF3lJNtX-Q%5QL= zE}E=$flPdKC@m@Z+b0Y^@+J-#g%q_)k$oA#z8`$ph;;&hdmL`4{&%bjJldU|ov_N0 z;b9Kk7g28%wM+>Dp`BRgfQpQ!l<0m+BhhWyPbJaZpjZMbeqA#aaF;^OJzdW0D{}hh zr{@d7!utVtTweAbIPmfD{c)Lf9>@gG-t}ad{&9b+z@IYDL+d?!7O{O%ek_m>h^lED zSD55K{&S!kda_k;`oUCW2j+DD<6px5(!U4uZ|S;ON$_5{4zEo@A)i@NO|8qc4GoZ; zl97SHHj`#uly*buL7~k&h}x0;C|wJSj2VwcBO@b8hc6NFn4exvKA^qH-+)*{=h#zS zmg5JNpluC%gZal+!Z(FE!+r`osyXL&8CWrl!feZ{5f5@J-^DkGnJX$Py5ymL zLCM0Nfi5Qr{KC}K8>XhFuCpzH^tT~yZfMv(_NKPL?b}ob9CQ8sKXTHvy}I_BHWmT- z^F}!j<8k;D1KZ`UWEftshp|e`v1?~;n4`0cC{|_{!H^>*{}bx`$kA~~DQaP#0w9%2 zAL<3gk&<56L|;D^l+*er-?^4nR&*0V16uDkCeVb%*bhI`OQnC(m@x!nO%2&aZaTFY zP})32iI-_EFY>#hj87U*w<4iZ+iClU?eFuDchJX9oSu9oZnP}-??tp1upQ<2d@%0q z?Uz?@rULZn>(iXml9O*KD%$Ms?qfYQE{XzS&mj(r!>nUS1U(u3MEE2>NSYZBW>ne{6zAe!SeG_KVpQ_T`mH zI_Kq;sP=)5-dwLF%yBPt()ZAc28e#DD&D^_S*vL@SDa4xv_O*=+77z1-8XheT=078 zuM<9y4Lz85z%)x=03&dhjI008k6n#D8Q&;XqC1KmqvU z1qvP?LmuaKJJ#HW*OcXZ;Hs$hPwJ=F_(@BC>wRc()}UUbO#HgHg-|kHZHPge!E8 z)T24_8bJm!QCzsDGBJGFu~5H@^;Nz9A^b;%7zzFubOaxKi4ziEQsD2#{C$G$ns7 zy9n5m8c2W;l+&(yK7@!vMf_Afwfqt zNHs7>?@s7M%?i(ruE@t#_^i@qd0ccf1+SeUc=!>PzP|N0L~L(^Vg;s9NN+N~+ta6` z3vtSos!=qErY4I-NyjcKC?$wwNMhD<|7GL`(}R(zX$mN#;38vcYg^gdt0TukbN$AR zDH~zX6WskzYa2hfwFww7Gc%b|Qd0Q2xmB5EJa(D}`!ghXwbj+tT|)O3lML4yraeYL zy+}?@hL=^fS_eU|98>vXu&c9S?=mG%ny_ph|uxj)$_4KTISZ@A)aq)59Iu9S8 z4pOxL=~SJzWB0qUxR4!gCl{A8B+`;raVOq3aOryM;ab`27%_=c{M25)pF4CI47~sa z5?n|X{5IlwuG7=+HyNm^zJybv`Xz?$6g()<$T=p)%FKd>T*I~V_4Ocp{kRXPeGw%; zhch1@Ni7YuqE>2(*=(;ZyMdpS3x1O3JC+2VSZ0~Q6|cDNg4eGvY12n$Y=d^G)_EY2 z2Ta$u^DX}pzol{M>R&OIdni(p`jx)u{yVWb4Wdto&E_Gtxj_d0kxx%4-VG_;N5BPZ zMizDh?+{WO*Wc;S4eSN0IdVN(g8IiZ(+}iO7TH zEYjRJV1^ypbbqu!N9xumTu`eqBHj) z4?a}oUtzP1Kj_XM1)N%Oa!Q7;Uq1toKG?78O`Z=D4;&6xT2(a;h9@c5q0iFNk}K$q zdItu^UYw`ov5~c14$jHRu|)bHXxNp?>1_j4EG#VMZ?l5{@;-P!f-nO=(`2lhdOKkR zXJTWMa~8Rs`fi-Lx`u{_iJPL{hdZv=5F&o67222!CCKS#i1W@Yfy)_*S3s+66;?gM z%E~Is$k=%4ne6D)6bNCwU%Eq~P~WqJg)7d()D9^@8!p_O(Nh>OL0V@!i+|1-(KF-G zp@nr2+yD;Q$i?oVe-^J$mG}gB`zf(~+%uGD1zS;=dthXg=!c*3^_%<}LkF`(QUk!o z85I(CIg53{d5?k!O)EUww8}>xLBQwVQ2>f^x$ik3?1Z`}H>2-W1`>%BH3K0l`ODlh znp(#>DdD}`rVmE3U{H)e2CGKT=;7MKrM+t{loUCZpSJ z3HOMr-&o|wv4?<>Ojphoy~BblHL>bbr||L79@8x3&NHtf8Gnx07g3S!;G6O;S-oysg?l@ROv%ed+;p z8L`m+omTM$Su;cHw~~(8KB&inGXP&qSR-qg{Z>$+O%!~t-TgdC=oqqGGo;98+?roV z?vE5#9a8a3`>TRE4v0cyBZ7FPr;18BB3Li|$7B-r907=P5As`e5A!bJUKVw1mSK2P zQg!|N6P)!Kj!rJK#R{QA@ySXatVeBr7#$*0Ve`s}E~&&bDLVU47z5YsHysznU3>!J zcCEs#M=D!;F~bONUFBoPXD|90^Xjxu4>fT=qB^E;UKWU8{A{0tMYp%}NaauroP?e> z>~wVuZ!mX!pWt#2>mkB_R!>Dyi*1GDwgztR0ghet!&|4kkMDOFaN{GME{{-A6_QkAu>7D%w*Y z9URg<$b}jnuEIm7$$m5af$IkqSt4N#bG+vq#CT}*|5FlcqS;v2t{qf08$_U(mywIe zE!I55Tm5tTJpMj>8$Yud3Z=*?T0rYcop{o(LVna+;-aTd_qepz`5{jyp}S}jGkddR zPH}bEklue%lBpBAZa~^%O63v6mIFS}5{zmpucr1o*ggu+td9FD z4Q^FRZo87X^Ka9Z7cHyS-(DlGp?)y>ng5QP#$(Whx=UV7bs@(=;PQGn1zNVE@9KkvDnB#q#UHq+yL z2HpS!T@#zs`e;gOUeZ_kl;7Yf~({9#KSz4c~IwAK%ADJ3cSWFS)t zbo)t0MuX~`iHTRQU%%e7@axIZpIFS9e>FzQoBtAHl)!c>+r)*oj347J?W=ho9*tnpk zM%?M~<0lJUu}b3^a^6Keh?0`kjUhk64B{0fJ(#F;FJ8RZ3&xng;RCwQJ+4_hdzK6Q zhl$}K@j9+xH=F=9vhPKJJhUf2c(sZ)CGW^C}1;0@x7i&&EWJCsCwtS%A?7WVt zSi|GTUSAhX&fb99?tN8*kj)%86crY#gM?ySaet;ju&Tv~nwt77@q>$b@%~(>9f&|3 z5TT-bQaarVN7F@xs3{N2#nbJ`mLO(jJOP2n<{d?3~ekUyhYdbZ(Qe)pret38cZAC}K%pdsEbh)sXn4qs) zgm~^}6`vT+SvSa&U4O5fk&!XgIvwZzawX>Pd{v~NpkUH8{-KV}Yd*bCJ03w`&Of_? z3EY}H*v$|#a4+QcpaSVX4F$GhKjH~APp@VWDl0!?Vm|x$`tCMu^s{gs$HXvB1hoYp z{nB&@%=yYoW^T{^kK=*g+bo{(uNI_+Cj#_x3EyZW6mvgoX!-m3d9g^I8I}Hiz52Sk z67WF;5m>Xmg|TrGp?OnD+sMJ;Jqt}Y@AO>2LaYnagHJyb4*JX|qa_bOCuNZP?sM1q z0C_BvgtK0Jnaamb`Jh89##7ao6_bD*NMG5@4No{imahg24GhV6&wx&D3Mjyp#vb z&NqauOU@jAYO34!59+-`Luovw4TZblB@s zL2T%sHWK$kkC>N^rsv4oIU-CVXy-3kgCq_;GGc0HSA{Sxc01g`_4f6RWXpLcXJwV0 zr@W!H25spFpAIR1f;AR&b%!H)CvXhrq2ljv-1A2_$;$2PB+>h64N8U7X_tB>bO5ud&PkA@o+Qm@=XUxxC!evQ6z z76ED4?l7#?yyW830GaGHZ``EB+`0l>VOi~D?Bd6_wZH89OxY4T2CXhl92{~48zB#0Zu&E{gv5aI|+N6b5%{=Fgum2 zF_$!S?Q%tqOYi-*ULN(cep~lD2m(vzQquC&Mj1tp@zfE%N$URyW+(upPtgK7^?5i; zafz>jIJUHcB6tSEpLglj@@Z9F*zDaU$q+Np@r!I6=s+sXUE;68=xmPK{86X{9ZG}Z%6dd>;4{nRQ>aWCB){vJR=o!^wNe9L`4Cxf zsStRiGj63yhZT#tPTe?E-7HU5`lNhEul`g*k+zFE=|afb)%X6W$FAcl2${EX8<9Qp z5W#dWbm8@F_>i68@v1AL)rv_;FX&l@f+2h*J6asN(qpWvJX8e5`(BTPv5>V_Qz4bgtv)o&i(M4mAhG4j|##WbFy! z`=%DhDYv-o-jSj2Ie6p<7a6F{y<*{!OE`7?dDoVdu?L;V zcv4RqF%sWj=t7t#OD9m)!n+nQ{9nUYJ!!7m5wcOAO0}-j3t|=R4smZVxP|boeX01% zH?haAubfU;IPM3JpQBoSo7QG~JC=%V?imIwQ+ zz78HuQX_gn#FRrvmIV{`n&oE!lOgd7QMO?g8RR7T(h`pFua|XZCL(8C8sS5*x z$Dk((H!P=ThhWeB7&+LR6(^-2b0Civ=Z`@TyaF2p=r%`mo^k^@g-l)cdUecm^Q4F+ zxP|vKy`cu@8yY^}m^iU=3F@#615dUmU^t z#yC1!BUl*>ZvRSjq5{Y-{~aVdOI-|^U}c6Y5!Eq3O+rQW?+=*%dpb8iH$VmiSoi*Y z=;A)YUj_R+(RZ*szGos1>ph%(1K{H<{l%X*XZJWTc;W}GaPI7%; z`M}!1f!X3)TDu$ynlF0Se(h+1v$j?f$JPhnaEVXx_}$J76s>Qj8>(pY`pp>{y)0l; zT!Le*MbI#8+&@z0eGt|P3wZ4UwwRr8o5h(^9(uX#S!`*cZv-o|NHbl!D2h25h z?D!H;B)j!~r@gs+WIcTCw^nFL;;fT0|~!ROo{T=gllb-bM2$VFT= zefjaZu#0}I$tQTjmz3fwWnk0_w3Xj^@N6$?n5&PC_tVLp{XrNXf#Cf;RnIVR zN5gvjPP?Ziy&~BNI897t1qX^Ro9)Qh9lGrGyDL;$PO|CuG{KYF2}u;xQd9yiKaEmK z?wzH=o-{+@H*Hhj`A1YzQ?WU8-B)ZySIupC=2!8+h|aDk@%2CsgMD-S4q4O61%SM) zj~mQep^D-sY^1#F;)J<~{FMtGs_9~*x>A^YyU;>D%WZx*A5CypL7q9DaoxXmiq_#n^v7DToWur&V)bwF+t+8($|~Q|&?3z)YJ?Jc&)-rx znQ5=Jy!)a2j^9DiUqz$P2_IdCvP+dEZIaC(B78$HlG?X~-kL{AIrUzXl9paO8yCJ; zjT)VK>g(R0E{2-Dcf2#0;9YATsjJy&0yD`>VxILQp&HDJg1a}19E+pD(Z3yUO1mJ8 zUS;E0W52)G_zlW=a>Jg z8?B&x9?1R6K$N}VodX7=l~h@hb=G@=y$Dv0j zjZ*vcb9kH+k?oiu0)FQOIqXS&pa4yP1 zrX8#3&(eFUf8*1O17xQ7aMFgBkPpAzie6Dxc+`P~fH6#N7E2*m2>@s2VC+elrZ-G& z4BU2x{h5!t;=7CP^g>7a5rIQ`dclFL)l)xjuj{{5G-^&|ANvzOo&8ksnJp|XE^BME zJ!_rq;6^|gT`cFld`m{gjPl0qc%S)zvoXyXjz8?64dDPM4d8@x{m-w3L^!wy4t%kO zuRry8lVPUyT>2RE)3LCu@?)_(aMGk?r}KN^X_AC3(!pzW?INE7>T5I)|D>xOaZ5-5 zrRV3@aE3j2byL6Ld`c@T4P0Gar)r$ufPrXe50lOA3|6Af7&nyAqzM)o?-1k5*>b@& zytewipy3EQNYCszXEJ5xVu2@(4hHYq_GVXmMImsKIX7!RxYX5S;A)LjbT^FMm{(Ix zC1HIX&VTFH@E(3zacaGy*LTo8q*%mJucqNIWulLVS@iPU>Q7DsD}Aq$^RRM6>V zy3)2M`b<^$Z-Zp?lBeTk+#?o@jmPOi%2xfs0i?o@BpvL(`mERcnO(U9o|i-}oQ&tI zV#O$K=nF|Hg&jN)ro615SQ@8O-;rT|TmyD& ze=)xIyb#Xlg_0|H@3Q>XNuscB{>0t8##nw<>?1f&hMe{}AKEbk5t%4Xtdtqk?7sDf zw5@%HTNcGXZ_ppwv482Fj~%VNK=rM=0&Qrwvl%OQ9}$C|QeU>72kf7edZwQ2#-R}- z9dr97*VbjzAE6$%@EK&9A!l-%UPoFF>D9??YxHfwytl%fc<3Gj>6|z9Eo--C^m$(L zLg6qK@)OQ}weYvsaI-@?<16P~LdRDuh}_=*QFXselbWx{Ue}M0SkNC3XqnSY4#(G= zGJvclm>U$9wbUIepsAxx$8+7EsMgoQf`vQC?eiZO`|Jk`4&OP=9SxW{g)Q3f3bl5% z1o}tHf6+_s8LDI39WYX_sGH-huiI}u`8JPU)PtN8Ajq8KV7j)fHBwuMV%NQX0sfL* z=ccekr6?F@#i!O%mQ#hCx%$-**^;=*^>XFLoSHBC>-_5;$mi8YuSYDSpl^X_4VtKA zXyI;rx#-C7Q&w7NP{qQJXrA?*Waa&j_a1ZgQ<3x-5D6<}K*EpLYPd^;vTOAW09b4L zS4!=la=;1km2dyoFjolneEF*Z-}S#X)&5Tx>FZ8u8_!e4irbw>gFYY7RyRmKh{VL>i13 zOR_b_zMC=Q_jS&Bp6fclbFSx{zn<${*Yn5R=DNqseSh!!^ZmTv@7MQ!e$!ZwiIIyD z0)a3=^>xf35SmKx@?oF@dt?TTm%ty@0A1?W;5&Y<5TiQ*zMeh-o*qsDL9TxO z9zNa*(wC&=FACfZ2=Mh+lacZI?|+c?@pG3EAXC49A35%;Z{rVvu-rL((G+SGct9W` zc2FJdTOnCXOqcCuI2hG}viMlrtP6TEP$MPOY>(&>YTM8bB5?LdRqJ-g}r;6?BJ zD(|tfR1_h=**)lJKP0)ru(3U1hMz72ZA3rfrlR9DO2i?i=UQXpNzman?gU9klS2%x{(QVxRRnGiiunKZbuwvt~VP$zl?`V zVzzp)F*`f^;rJSZE8awqJcfpb2nsoSaZjH<{cJ|oQOZsuNt5bKCUptD!Pm^ec#^%u z!Uu6UgJcN_iH@<3SwAQjr;CXerFs;P-KC@Q%k7vuu$6x=$CfQB z7V@hj%ea7xi|fefaIH`!C>f|(WaL5N5*XQf$Yp~YH*Q(t^x6`0^^gk_;VWowa#Yk2 zUX3utx3**6bzl%jM^#RplZm5hARA!^dmnJeA+5LZ0{&{*3kwTo&d#~rJw1BWfdK(` z@wHybsQ2#$Re2JoYRk)|doz`Y4bviGV#Ms=iQ}Krd>aPYtT`MOJch^WFG?Ie6~Pvo zQ|*;lW?yf1cw38$vBef8De38A(Bg`U;f{Fj*|iYiX!r90Z`)?CWQV}Q7DNtq$kaC2 z&21LUsr@L3z!Oh(_(w1+#Kpz$!QtlG+K(7doJf8Bx}>sF-qqb5-X6=IT%HrA6~65m z7#s`>ZtCkZ2Imu#yLr6ljZj`MD2ZwtGhEiqTcEsL@dAb>CRPp(*|<`h+)tk_)zsEX zsH)n8Z!ek}8O7V$+6p`HyX@`lDdhMQa$gyXX7{jl zI0O7JRDsH6t3V}PK2O&YP@7#7BBa77|J8QCDe{2on|8)ej@iR9>I`}K;#?R9q*2!A z87uAdF-}Me&r3g@pjpj02xP;kn-%QPWRQnE{PCZ($=7LsK!!KM@(dp*m4DVUcNU2e z!dl#x7wmd?A;9BiSfLu$Vz=NPS}{KOj1HvWEDhwkP#5GMHqHsGo;}1=`)q7uHf}oH zJ+J36?#$Y!*Cg1J`AU}c9o*nCe$S1sv8l6h$7cg3~K~q)iynf@)CS5vOP9v6!d*y!9r8{^{JIMtQZF?%wfpN= zQ+xX?d3pJ2*PgRmTU#Cj`9^-1ct+9T!Kj`m{NO_M=uswR#2qtJZ)=cpNlJv@t_S3! zr^0GkDuHORpFO+qTN|3^~?3{*l|8rRbDP+mbHH6`UttHBhKWRCrHbC;|!AW{?fv>66bal;G1y}d01 z18dC8&1;-H6HM!DnnFGb7k&B^vRg0NYGrAe4=&HwR`)u+Y;%5{@|BmYi`*@LK#RM- zGJysS9Q%}sThX~A&b011vaWm=#_Q6FcS6nmgVHhlQDxs+Gp9=_N&VB z^78x|#X{Ix1ok$CwhUfnu~1yUZA%irbR?hI`7ym6=!vxX-IwJxZqs#=mlEbkw{&#?oX&I{LP=zxH(~pcMS2gxJl~j=^gqtd#c4 zSV@sKXom(*X9I)f2p2U+Zo*0z7Vd>!<^v`~LQ+x^Rr6`wyQZ!#rkVxD#LUdBb=}a2 z`bz1QZ`)sv&c-&44;o(YW=+e%r+Cnu2|iktRi9aR*Yzecv`m55UC~!As?GI=Z7q|0 z!9WoZFi;xBO-&DU?DX_vYQ6BHP$2P)drz1P1~{?PWFckcpxyh+WA&`%9g%Aa?h_vn zO?V5DcAN9cio#p=s|S}RS`F{))wfT~%*QTW@HHHjit9S{;dztEsB)KOxqZ>xoSTJ( zg~w2_1(48}!b8Ku@ac~D^^npNlT+3VynlRE&+s7})$lTTssm3eSTkLG^}}}Oabg-s zwXlcR7J1fo0dlM6mhuSGBdi}*&sn{#7ubw5JELzT9-BI_74d4!L zp?{xH_So~HUII_jFww%%@y+SeZ}^F&X*J`E{8?* zpgf*Ba32+Y2~Ot&a<&dSFJsUg*;BXFX(x-Q`N=^j$@w6f4teHC%Ne&raDppORlJVc zIo`Kso=09u@isisw+4B_tW9TU{qbh^-mA?>SoUu9epEg7Tn{Rv740MQ@YMOP+uR#w zsIrngEwmIGD;P))721w-DH4P=ATUbp{0})9eZ+PjkxWdeHHtX!yV z=B2Df_l?y2eWg!M&J1!b(*I1aU)3<^yes->Hbm05n#w7<@kaZ}DVHl}{4SN6py*^Z zjirwK=f}2xH(Ws;LT)?{pm~QI97GM3SoJIg!AYA0+fTml`m$7W9U6lOU!JoqEH0)9 z0}arry$QK;#ZyD@-`AUC5ZV@;_V%yGEZwty9w0T0*83NnW@C%NgWhIgZ(sW85sj;x zn*=bsQK?5DM}S}b9|Q#?A>*8b{duKG>H`sB;Xk!_?}55zir3cm_R~CX$iqmW2jM%* zL;d}U%AP;paw@pRH5fg3(1c3TuJxZcZtv(=2%jXsaeT0*i=Yr;!^ntDp>f2{IM5+R zLjWNrM}jK#yu8YUi{8I?`sQUXoesXaO@tlT0u#zfC5vh8L3=Y4^thEh`z0%y-Zw5c zNb0a3g&g?@CHeEK_3@z?4V@3t_3$VXE<&R<-r5=%8qNkag6#2AlcJA4?UrBEHvVpN zQzS`RY*CcF!=fVzdNc@S54UT)5`nXTCX>iyJ+F%L^0dxrQzxhQAWC|NlpdvL)=vgb z{b+IfQV=~)RIBo(OPBUJq?DouTn?x->XlxJKv)6;1B*U>G@YHD6&h7jQ>*sED?`mp zO_O+-J70Br`1lM5V>WmXM^96s1cDFE(mBSDA3wGs{pb7QeU+wEMw%l9Y>j3R*jnvc zzgYt%6_rCjQDRwU2AZ325eDPPt>T^1Ih_&cqe+YIS|vs11q+>8)cY+pv}*Ru z(Rw-QecOf}ebrO&CojML_2fW|=c1cTp zu296{Jqm?#=xL0z)$%3}s5{`&op9fSK=?W852! z@LT5QxoK%1I$FV3dJa6SSh&zc-7*4Nil5))Zq9~Nqk&AnP7$i)K4t@l!(WxqKyJ_q9p(qo*=LL02o4&^9QYXQK%8=c zKyq3CgEmH>T|mm`w+zzhgdCzH^E(Wf^-v`rSR9XHg#IyDq`aL{`lbHQTc(lV<7>DZ z7a$+l<~T-Dh9$Efz``1@-6K|GNYW9569Y1o6fo=8bS>l z2!P4t#h>_4*XS`kFV;{`c>V@qx*m(Q%PVSFuje zBEV28#`G(%9HGFGFK--*qV?yKSI$gJb>DWZ*sQwN%Ji`WeScI)C~I{hv)Y)OzqG7yl&Zs*5e5q2Q=g;N{O96=mPYdc ze<`f0GEcr`W_EhyDrNOf#b%mh6N1mXie!|*IuRi!SDqU=h*`1t(oKm_?WXlk`-rCGbd7m(881{eV2u6zCYEv_#Uik*V{{bO*Gl42QS}pa{BFS=jxgVFrt#I z?AveOZitA8=zcJp3`Lt=dnOhVmq$ILz;TD!s$laQf0_C8^vI;}5Sncv_LM{|Q{|y& zwX%{_QnFAFTI2|P-Tva7VKVrsn4FT5l7a42$<(y8!x$s3q2ch?oaS%6!1sNG+Leu8 zA=HuRZ>)YMQXTZDv)n=}dW`-*x4HhF#r=?3{L*Qsz*o*(2^{!g0DMHx*War$c@e}e zUiF~DrY3tI^i~>ZY;9%-)}xwncX#fQ`!g>dsXA$|RzdZDqo2;I%sY;g!tcw;UZ6C; zG}DdHH;BEY-c0xZMW9knHY@rOjh(UF@a1~RaA*>TeMhHGd*6qwtpd1BG5zxM$<~W@CCt{BS&a+?x0e zbI?|>sTFB8>s<3=egHWrdB-hNZH(8z1a_L>*KsD?ya`9KTXh@0SiDO=D-E1(?KwU> z_7u%^KYyhVRkc2ibVO*~TFNo_7MF0QONYrxk+!v3sCg-P<@ zq!x*#rlG+Wg!Jdnp93{%C`b7E-n@40ni|M>n5{COuY`bw7qES&D}PH=^wldhbJ;}B zs-r--o=v!v`{>2| zwb7Ug(sz2x&i?+JgH6&QOuK!x+H(PF06*q+bX-qOPeGVFkk=}50bm=Nm{hs5wmrF{rNjp$LfI+Pejg6HS z7fY1c))<6_h9;v(q%g0sPo{jxz#sml(f!{w$)ydAje!e;;u>pT*hqr~nt9;n-kWF& zjTk=t$2U~bryg~%QSbx*pni66I}oQ|Iv-U{Id(uk*x_Y?o08h7D;y$xh>6V5jJX@! znCo2ef5~Th4U7lXJnH!#rt1m6H6=C9wv0|xlsgpWc)my&K2|{ktQ83XW~iB&834=q z0LOx9AfcjSrTG9e z5jxK+<0Yfmc1BpSl`zxZXgWg;7PWvLmZ6 zS`}+>O^~J3c(9dOvO&+@>i;b$T6KpkiS}S@itU9!Y~odu-g5MxPiW7;ik;QZC}I_t zxhUEOzimc0@?S0_L4CPDa=$b3&sVXW!RQm`Qj(J1#l|vftak}HmqSm~rEuaL8YewZ zz;bj6X7a(9m`83R`Z?lB%hD+ml+|2TTc@n*wdtgC=GH5T4$g;8zA4oIli@nP!HmFL z=cA&NUHIvBDHZb4=y}ccyDB!4vS->n{O})^T#(%LrimF&mQjInc$fyoY$x=<`*M@F z+>RCPDfHhAkC9cHRQ7%gspSf6uM)R-&(NoaMDy^j5(ub4Q@;AJi&fIrF`s|m@IY`X zu+!+&K~)8-UjF3pXp<)n!o2)_HFvR7iIy{laDz_?5CIaai}I=IMBIe5ltKD7U-AS$ z8S{C%K^00`=QXpuU6)Gx@Pkm7r!YKWvvO&mV{EyH_q2klxL;9g$yGfbj_5kfa5 z)#H|L{PFCK^m+X?Zb6rHkrdvPlEXwA@)%vq^EjqLrMyfnG zhNT7bCyo`0Gd0G#r)?pNQ39`Zc$mf0AV+U2+-RnUaKsB7{kzRqzAI-kxg;&hkOAz} z3@&a0<6`vi!xaX30Y(7f6(iKelz_9E9u$PM+@%GW`G0w1ez;WmBo>&nrSwtFlu@<3 za!ta%NJ-g2@~ucS1Cun(G~xEu$uMVNQ9b8>KOFoi0m`u^I3ClRr%lj;)ljoI#8T(2 zVO0e&WjAP#YtywTKW)Oco-LX)B7An8+))qKCQLYg6$qI1NB~<|+=~>g~ zt2vTrWNqyVHgjzcj73QIV2`(UpC4=0QjUrNpx$}Q@xyiFcMKmTx0S35xLDBu0d$0w zPcSM(0{ZJgRwMqf8mh1v*ka8FpIi^ya3~@;9PAjzrn`w)BQXn_GL*_62bfcQwJh>r z84E<2*_oNc9Ky-TIa=xZf~IhUHF!v06bK>an_}G zV4VkQ1_apUgsy%F8oR=52Y*Z#bG?>{8LFi&Oer=c8Pr!_(2!RWlr7LqRBLF%7Ys{M zW?xn33pY`m9@O$48q6|>MoZwq?CQKN0089T<_7i*7_z*~OfJCcdZv5}3kxq`X9c^O z90}3GWd}7dZYL}CNNCu$iP->Qb?E7H^^lA56h5{4)5C0nZMFYywii4z@xY2yg@iwB zN{%3%BeYE{meHh_T_mz1PtW)=fq6xY!EyZwa-w7tFE zna_P|VdxOEV-VpNx^);RU%y9}9=(R+QO2{ z-uoU|o}Zt8GxgaiwE{WpIR}SUa}We(m8r15CV8<3JiDS*0ce923TBcF?kyvA&Ug#)lWYI|Da8%y z+=hhR!Azmo{jam2rVNNUAhT@E$;< zM;rXKBB}ePc(7O+u=-2;FwY)R4v^$M+MY6LAD0JietUcSI6plG>cFwvJ=C}CzrO0j zKIAqVhmhO&tDD)yEDcFJ^8MOT?fxm>MIx29^HC_dIr@JG6RuYS6ZI#<{mlGIxcXsYYTH!*;+IQCuhms(EzVmfpYEi#eBk3R&;BnUJoc+xz?m1m zkiyYBt8_ZxaP8CeU$6&X{I6ec`9glt9C~*U|FuiR`lsZN_}9Wn%O`N|=6l^!zFn&3 zVe_l-h6RyF7Xp535Q?i!oAObVZWb@y0`#t$NxYu6fPSys&xVMbhyAu&lhr~%KbYZHMultd~u{|Yq^nT z?A;kwIT_v2Pd8%Mrka-(exv9ut$h+@uW3J#HqGlzc0(ebGqXDNz+IA4a&jvE3F%YoI)tun^m6k-1Y)ZM=8AoK$6(Iz_&{l6T3xWip0 z3XRtYY*GYdYqJ3Gj_ZPutt|w4O}2b;-b4`Dau7C`rJw*zSB%|}dVf8@FND(%B5OUV z>#@Usbwm5Ld4WC**6KmHtCvV4>j)l%AZQsBXtb)&ZF*oQWzyv-JZtCofgaS#UJ^zJ z=#VH=&rKlW-HFQ%f+7k2VhA1jsFM%Ns)M1;5ken|_WClg1!tjk-`&x#poibuY*i)P zei48gCv8}tos@C)$`7gK%p-AvN69lSjtW$pVcGUj^bhLDi diff --git a/src/examples/0_hello_circuit.ipynb b/src/examples/0_hello_circuit.ipynb index ad4ead3..44986e9 100644 --- a/src/examples/0_hello_circuit.ipynb +++ b/src/examples/0_hello_circuit.ipynb @@ -233,7 +233,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "322a8fa6a2244e99b7a6de614efed80e", + "model_id": "203ad6167bbf472d83f5ba93b9baf0de", "version_major": 2, "version_minor": 0 }, @@ -302,17 +302,17 @@ { "data": { "text/plain": [ - "tensor([[[ 0, 2, 0, 2, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [ 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [ 2, -2, 1, -2, -2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [ 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [-2, 0, 0, 0, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]],\n", + "tensor([[[ 0, 2, 1, 0, 0, -2, 1, 2, 0, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 1, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 0, -2, 0, 1, 0, 0, 0, -2, 2, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 0, 0, 0, 0, 1, 2, 0, 0, -2, 3, 3, 3, 3, 3, 3, 3]],\n", "\n", - " [[ 0, 0, 0, 2, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [ 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [ 1, -2, 1, -2, 1, 0, -2, 0, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [ 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3],\n", - " [ 0, 2, 0, 0, 0, 1, 2, 1, 3, 3, 3, 3, 3, 3, 3, 3]]])" + " [[ 0, 0, 2, 2, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 0, 0, 0, -2, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 0, 0, 0, 0, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 1, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n", + " [ 0, 1, -2, 0, -2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]]])" ] }, "execution_count": null, @@ -429,7 +429,7 @@ { "data": { "text/plain": [ - "0.921875" + "0.875" ] }, "execution_count": null, @@ -457,7 +457,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAABs4AAAH/CAYAAAD3+yg7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD0GUlEQVR4nOzdd3hUZfr/8c/MpJGEUEOHQAKhBJDQBEMIRRZQEXRXxC8rKlh217648lNRQHd1xb7FVVcXEUQpKoooiHSQqmKhBAiGDoEACSEhk2TO749jAiGZ1Knh/bquucKcc+Y5d06GeeY591MshmEYAgAAAAAAAAAAAC5zVm8HAAAAAAAAAAAAAPgCEmcAAAAAAAAAAACASJwBAAAAAAAAAAAAkkicAQAAAAAAAAAAAJJInAEAAAAAAAAAAACSSJwBAAAAAAAAAAAAkkicAQAAAAAAAAAAAJJInAEAAAAAAAAAAACSSJwBAAAAAAAAAAAAkkicwY+lpqbKYrHo3Xff9XYofmHAgAGyWCyyWCy67rrrvB0OfvXqq68W/V0sFotOnjzp7ZAA+AnqwcqhHvRN1IMAqop6sHKoB30T9SCAqqIerBzqQd/ky/UgiTM/kZKSonvuuUfR0dEKCQlRRESEEhIS9NprryknJ8fb4VXajh07NHXqVKWmpno7lCLr1q3T8OHD1bx5c4WEhKhVq1YaMWKE5syZU+y4i/8zWywWRUREKCkpSYsXLy465oEHHpDFYtHevXudnu+JJ56QxWLRjz/+6Lbf6VIdOnTQrFmz9MgjjxRtS09P1wsvvKD+/fsrMjJSdevWVZ8+fTR37txqnWvz5s3605/+pB49eigwMFAWi6W64Wv58uUaP368YmNjFRoaqujoaN155506evRotcr929/+puuvv16NGzeWxWLR1KlTq1VeZa7psGHDNGvWLN1www3VOidQ01EPuh/1IPUg9SDgu6gH3Y96kHqQehDwXdSD7kc9SD1IPXgJAz7v888/N2rVqmXUrVvXeOCBB4y33nrL+Ne//mWMGTPGCAwMNO666y5vh1hp8+fPNyQZK1eurHIZDofDyMnJMfLz86sdz7x58wyLxWLEx8cbzz//vPHWW28Zjz32mJGQkGAMGDCg2LGSjCFDhhizZs0y3nvvPeOZZ54xmjVrZlgsFmPJkiWGYRjGxo0bDUnGtGnTnJ6zTZs2RpcuXaode0UlJSUZSUlJJbYvWrTICAwMNEaOHGm8+uqrxr/+9S9j4MCBhiTjqaeeqvL5pkyZYgQGBho9evQwYmNjDVd83PTo0cNo06aN8eijjxr//e9/jccee8yoXbu20bhxY+Po0aNVLleS0aRJE2Po0KGGJGPKlCnVirMq13TKlCmGJOPEiRPVOjdQE1EPlo56sHKoB52jHgR8G/Vg6agHK4d60DnqQcC3UQ+WjnqwcqgHnaMeLB2JMx+3b98+Izw83OjQoYNx5MiREvv37NljvPrqq9U+j8PhMLKzs0vdl5OTYxQUFFT7HBdzRQXhSp06dTLi4uKM3NzcEvuOHz9e7Lkk49577y22bceOHYYkY/jw4UXb2rZta3To0KHU833zzTeGJOPvf/+7C6KvGGcVxL59+4zU1NRi2xwOhzFo0CAjODjYyMrKqtL5jh07VvSeuvfee11SQaxevbrEe3H16tWGJOOJJ56ocrm//PKLYRiGceLECZdUEFW5pr5YQQC+gHrQM6gHqQcNg3oQ8EXUg55BPUg9aBjUg4Avoh70DOpB6kHDoB68FFM1+rjp06crKytL77zzjpo2bVpif9u2bfXggw8WPc/Pz9czzzyjmJgYBQcHq3Xr1nr88ceVm5tb7HWtW7fWddddp6VLl6pnz56qVauW3nzzTa1atUoWi0UffvihJk+erObNmys0NFSZmZmSpE2bNmnYsGGqU6eOQkNDlZSUpPXr15eI6/Dhw5owYYKaNWum4OBgtWnTRn/84x9lt9v17rvv6qabbpIkDRw4sGho76pVqyp1bUqby/fYsWO644471KJFCwUHB6tp06YaOXJkuUOfU1JS1KtXLwUFBZXY16hRo3Jj6dixoxo2bKiUlJSibWPHjtWuXbv03XfflTh+zpw5slgsuuWWW8ot293atGmjqKioYtssFotGjRql3Nxc7du3r0rlNm7cWLVq1XJFiEX69+8vq9VaYlv9+vW1c+fOKpfbunXrakZWnLuuKXA5oh50jnrQNagHqQcBX0Y96Bz1oGtQD1IPAr6MetA56kHXoB6kHnQmwNsBoGyLFi1SdHS0rrrqqgodf+edd2rmzJn63e9+p4kTJ2rTpk167rnntHPnTn3yySfFjk1OTtYtt9yie+65R3fddZfat29ftO+ZZ55RUFCQHnnkEeXm5iooKEgrVqzQ8OHD1aNHD02ZMkVWq1UzZszQoEGDtHbtWvXu3VuSdOTIEfXu3VtnzpzR3XffrQ4dOujw4cNasGCBsrOz1b9/fz3wwAP6xz/+occff1wdO3aUpKKf1fHb3/5W27dv1/3336/WrVsrLS1Ny5Yt04EDB8r8EIiKitLy5ct16NAhtWjRotLnzcjI0OnTpxUTE1O0bezYsZo2bZrmzJmj7t27F20vKCjQvHnzlJiYqFatWpVZbnZ2trKzs8s9v81mU7169Sodd1mOHTsmSWrYsKFLy3W1rKwsZWVl+Xyckv9cU8CXUA9WDvWg6/jLZzb1IFCzUQ9WDvWg6/jLZzb1IFCzUQ9WDvWg6/jLZzb1oBt5e8gbnMvIyDAkGSNHjqzQ8du2bTMkGXfeeWex7Y888oghyVixYkXRtqioKENS0dyzhVauXGlIMqKjo4sNUXY4HEa7du2MoUOHGg6Ho2h7dna20aZNG2PIkCFF28aNG2dYrVZjy5YtJWIsfK0rhiT/8ssvhiRjxowZhmEYxunTpw1JxgsvvFDpst555x1DkhEUFGQMHDjQePLJJ421a9eWOhRbkjFhwgTjxIkTRlpamrF161Zj2LBhpZ67V69eRosWLYqVs2TJEkOS8eabb5YbV+Ew1fIeUVFR5ZblbEhyadLT041GjRoZiYmJFTq+PK4aklyaZ555xpBkLF++vNpluWpIcmnKu6a+OCQZ8DbqwbJRD1IPGgb1IFCTUQ+WjXqQetAwqAeBmox6sGzUg9SDhkE96E6MOPNhhcOAa9euXaHjv/jiC0nSn//852LbJ06cqBdffFGLFy/WwIEDi7a3adNGQ4cOLbWs2267rdhw0m3btmnPnj2aPHmy0tPTix07ePBgzZo1Sw6HQ5K0cOFCjRgxQj179ixRrsViqdDvUhW1atVSUFCQVq1apQkTJlSqp8H48ePVvHlzvfzyy1q5cqVWrlypZ555RtHR0Zo1a1aJni3vvPOO3nnnnaLngYGBevTRR0tc+9///vd68MEHtWbNGg0YMECSORw5KCioaFh2WcaNG6d+/fqVe5wrh/46HA6NHTtWZ86c0T//+U+XlesOa9as0bRp0zR69GgNGjTI2+E45U/XFPAl1IOVQz3oGv70mU09CNRs1IOVQz3oGv70mU09CNRs1IOVQz3oGv70mU096F4kznxYRESEJOns2bMVOn7//v2yWq1q27Ztse1NmjRR3bp1tX///mLb27Rp47SsS/ft2bNHkllxOJORkSG73a7MzEx17ty5QjG7UnBwsJ5//nlNnDhRjRs3Vp8+fXTddddp3LhxatKkSbmvHzp0qIYOHars7Gx9++23mjt3rt544w1dd9112rVrV7E5fUeOHKn77rtPdrtdW7Zs0bPPPqvs7OwS88yOGTNGf/7znzVnzhwNGDBA58+f1yeffKLhw4dXqAKLjo5WdHR05S9GNdx///1asmSJ3nvvPV1xxRUePXdl7Nq1SzfccIM6d+6st99+29vhlMlfringa6gHK4d60DX85TObehCo+agHK4d60DX85TObehCo+agHK4d60DX85TObetD9SJz5sIiICDVr1kw///xzpV5X0d4LZWXjL91X2GvihRdeULdu3Up9TXh4uE6dOlWxIN3koYce0ogRI7Rw4UItXbpUTz75pJ577jmtWLFC8fHxFSojNDRUiYmJSkxMVMOGDTVt2jR9+eWXxSrHFi1a6Oqrr5YkXXPNNWrYsKHuu+8+DRw4UDfeeGPRcY0aNdKQIUP00Ucf6d///rcWLVqks2fPauzYsRWKpXCe2vLYbDZFRkZWqMyyTJs2Ta+//rr+/ve/69Zbb612ee5y8OBB/eY3v1GdOnX0xRdfVLj3kTf4yzUFfBH1YOVRD1aPv3xmUw8ClwfqwcqjHqwef/nMph4ELg/Ug5VHPVg9/vKZTT3oGdbyD4E3XXfddUpJSdGGDRvKPTYqKkoOh6OoF0Sh48eP68yZM4qKiqpyHIWLO0ZEROjqq68u9REYGKjIyEhFRESUW6m5c2hyTEyMJk6cqK+++ko///yz7Ha7XnrppSqVVTis+ujRo2Ued8899ygmJkaTJ0+WYRjF9o0dO1anTp3Sl19+qTlz5igiIkIjRoyo0PlffPFFNW3atNxHr169qvT7Xezf//63pk6dqoceekiTJk2qdnnukp6ert/85jfKzc3V0qVL1bRpU2+H5JS/XFPAl1EPVi1W6sHK85fPbOpB4PJCPVi1WKkHK89fPrOpB4HLC/Vg1WKlHqw8f/nMph70HBJnPu7RRx9VWFiY7rzzTh0/frzE/pSUFL322muSzAy/JL366qvFjnn55ZclSddee22V4+jRo4diYmL04osvlprpP3HihCTJarVq1KhRWrRokbZu3VriuMIPz7CwMEnSmTNnqhzTpbKzs3X+/Pli22JiYlS7dm3l5uaW+drly5eXur1wfuT27duX+fqAgABNnDhRO3fu1Kefflps36hRoxQaGqrXX39dX375pW688UaFhISU9+tIMufyXbZsWbmP999/v0LlOTN37lw98MADGjt2bNH7xRedO3dO11xzjQ4fPqwvvvhC7dq183ZITvnLNQV8HfVgxVEPVp2/fGZTDwKXH+rBiqMerDp/+cymHgQuP9SDFUc9WHX+8plNPehZTNXo42JiYjRnzhzdfPPN6tixo8aNG6fOnTvLbrfrm2++0fz583X77bdLkq644grddttteuutt3TmzBklJSVp8+bNmjlzpkaNGlVsAczKslqtevvttzV8+HDFxcXpjjvuUPPmzXX48GGtXLlSERERWrRokSTp2Wef1VdffaWkpCTdfffd6tixo44ePar58+dr3bp1qlu3rrp16yabzabnn39eGRkZCg4O1qBBg9SoUSO9++67uuOOOzRjxoyi360idu/ercGDB2v06NHq1KmTAgIC9Mknn+j48eMaM2ZMma8dOXKk2rRpoxEjRigmJkbnzp3T119/rUWLFqlXr14V6glx++2366mnntLzzz+vUaNGFW0PDw/XqFGjNGfOHEmq8HBkyTNz+W7evFnjxo1TgwYNNHjw4BKVzVVXXVUsBovFoqSkJK1atarMcvfv369Zs2ZJUtGXhb/+9a+SzF5AFw/PHTBggFavXl2iV8qlxo4dq82bN2v8+PHauXOndu7cWbSv8DoXmjp1qqZNm6aVK1cWLUDqzKxZs7R//35lZ2dLMhfXLIz11ltvLeqVtGrVKg0cOFBTpkzR1KlTnZZX2WsKwDnqwdsrHCP1YNVQD1IPAr6MevD2CsdIPVg11IPUg4Avox68vcIxUg9WDfUg9aBTBvzC7t27jbvuusto3bq1ERQUZNSuXdtISEgw/vnPfxrnz58vOi4vL8+YNm2a0aZNGyMwMNBo2bKl8dhjjxU7xjAMIyoqyrj22mtLnGflypWGJGP+/PmlxvH9998bN954o9GgQQMjODjYiIqKMkaPHm0sX7682HH79+83xo0bZ0RGRhrBwcFGdHS0ce+99xq5ublFx/z3v/81oqOjDZvNZkgyVq5caRiGYfzzn/80JBlLliwp85r88ssvhiRjxowZhmEYxsmTJ417773X6NChgxEWFmbUqVPHuPLKK4158+aVWY5hGMYHH3xgjBkzxoiJiTFq1aplhISEGJ06dTKeeOIJIzMzs9ixkox777231HKmTp1a7HcptHjxYkOS0bRpU6OgoKDceNwhKSnJSEpKKrF9xowZhiSnj8LraxiGcfbsWUOSMWbMmHLPV/heKu1xaRw9evQwmjRpUm6ZUVFRTsuMiooqduzEiRMNi8Vi7Ny5s9xyk5KSnJZ78d9y0aJFhiTjjTfeKLO8ylzTQlOmTDEkGSdOnCg3XuByRD1YEvVg5VAPOkc9CPg+6sGSqAcrh3rQOepBwPdRD5ZEPVg51IPOUQ+WzmIY5aQyAQ8bPXq0UlNTtXnzZm+HUqMMGDBAeXl5+vTTTxUUFKSIiIhKl/HFF1/ouuuu0w8//KAuXbq4JK6zZ8+qfv36evXVV3Xvvfe6pExJ6t27t6KiojR//nyXlfnoo4/qgw8+0N69exUcHOySMs+fP6+srCxNnz5dL7zwgk6cOKGGDRu6pGwA/ol60D2oB6uPehCAJ1APugf1YPVRDwLwBOpB96AerL7LrR5kqkb4FMMwtGrVKs2ePdvbodRI33zzjSIjI3Xttdfq888/r/TrV65cqTFjxriscpDM4b/NmzfXXXfd5bIyMzMz9cMPP2jmzJkuK1Myf/8nn3zSZZWDJL3xxht6+OGHXVYeAP9GPehe1IPVQz0IwN2oB92LerB6qAcBuBv1oHtRD1bP5VYPMuIMuEx8++23On36tCQpMjJSV1xxhZcjgiQdPHhQycnJRc+TkpIUGBjoxYgAoGaiHvRN1IMA4BnUg76JehAAPIN60Df5cj1I4gwAAAAAAAAAAACQZPV2AAAAAAAAAAAAAIAvIHEGAAAAAAAAAAAAiMQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACBJCvB2AICvKnCYD0+wWc1HTeSp61iTryEAAAAAAAAAwDNInAGlKHBIT30sncv1zPnCgqWnb6x5iR9PXseaeg0BAAAAAAAAAJ7DLWagFAUOzyXNJPNcnhrd5kmevI419RoCAAAAAAAAADyHEWcAAACo0ez50p7jUtZ5KTdfCg6QImpJ7RpLATZvR2dKz5IOpEvZuZLDkEKDpaZ1pGb1vB0ZAAAAAACXFxJn8Gk5dmnzPmn3MSnbLhmGFBoktY6U+sZItWt5O0JcDgxD+uWEtGmfdDpLysmTQgKluqFSr2jzxqvF4u0oAQCXOnlWWr9H2pRifo+4VO0QqW9b81EvzPPxOQxp1xEzxh2HJaOUY9pESv3aSVe08p0kHwDAvxw8JW3ca9aL2XYpOFCKCJG6t5Y6NZOsXp6LKL9A+uGA9ONBKStXyisw2/1N65p1dKMI78YHAIA/MQyz4+g3e6S0TLPuD7RJ4SHSFS2l3tFmR02UzWIYRmltdMCrjmVIq3dJW/ZJ+Q7JopI3k6wW8yZSUgepdUPXnt+eLz0617Vllmf6zVJQDUtle/o6uvoa5heYN1vX7JaOZ5jvOcdFb8TC5w3DpcT2ZqOupv0NAcAf2fOleZukrakVO95ika5qK93Y03NrZR46Jb27zryJWRHhwdItfaS4Fu6NCwBQMzgM6dtfpLW7zRHNztoydWpJ/WKlhFgzWeVJGTnS2mTzxl623ayPL75DVfg8trHUv4MU15wOiwAAOFPgMDtlrkuW0spoZwZYpR5tpEGdpMZ0TnGKxBl8zk8HpZnrzC/xjnLendZfv0j/tpf5Zd9VSJy5hj8nzrLt0jurpZS00hO3pWlZX7p7oDmCAQDgHdl26a2VUurJyr+2fVNpQn/318fJR6X/rTGnjawMi0Ua3dvsqAEAgDP2fGn2N+YIroq2ZRrWlv44SGoQ7u7oTIdOSW+sMNeqLi++wgRaYnvphu7eHyEHAICvyc0zO2buPFLxuj84QJqQJMU2cXd0/omvG/ApPxyQ3lljjjIrL2kmmccYkhZskVbtcnt4uEzk5kn//lrad8J8XtHeBYdOS699Za5PAwCVtXPnTo0bN07NmjVTSEiIYmNjNX36dBmGoQYNGshmsykrK8vbYfq0/AJpxpqqJc0kM6E1a73kcLg2rosdTDe/61Q2aSaZNw3nbTK/LwEAUJoCh/T2arNDqlTxtsypLOnVpdLpc24Lrcjh09I/vpLO2SsWX2F377XJ0oebio9KAwDgcpdfIL21ykyaSRWv++35ZieWPcfdFZl/I3EGn3HolPTeeuf7gwKkqAbOe4Ev/NZcHwSorlnrpSOnnTfInL0XDUNKz5LeXkNjDkDlzJs3T/Hx8Zo1a5aaNWumkSNHKjg4WJMmTdJ9992nU6dOqX379goP91A3cD+19Keyv/T/abD0xPXmT2d+OiStTnZ9bJJ5M/OdNWYDxZnyYjRkjiLIyHZLiAAAP/fxVnONcGfNEWdtGYdhjv56Y6V5A85dss6bN+nyHKW3mcpr92/eJy3f4b74AADwNwu2mDNmOTMuwXxcypBZF7+9yryfieJInMFnfL297GRD0zrSw8PMn6WxSPryR7eEViMUOMwG1A8HpOOZ3o7Gdx06Jf18uOzeGWW9Fw1D2pcm7S2jwgKAi23YsEG33nqrwsPDtXLlSm3dulVz587Vjz/+qIkTJ+r111+XJPXo0cPLkfq2vALpm71lH1MvTIqsbf4sy7rd7hl19tNB6Uw5Ca+KxJhXIG1IcW1sAAD/dybbXC+sLGW1ZRyGubbzDwfdE58kbdgrnT3vvO1fXrtfMu8dlNUJxZ3OZJtTYO44XLXR4wCAiilwmJ+1G/aaPwvcOCuIPzt9TtpUTtuwUYT5KI0hsz5bt9vlofk9EmcekJ+fr8cee0z169dXy5Yt9fLLLys21oULctUAmTnml/OKTM/ojCHp4Cnz4WmZJ1K14K8Dim3730OtPR+IE9/+Ij35kdmDYM4Gafrn0mtLy79550m+cg3X7zHXzqsOq4UKB0DFFBQUaPz48bLb7Zo/f74GDBhQtM9isejpp59WQIDZ5bpnz55F+/bs2aNhw4YpPDxckZGRuv/++5Wd7UMf6l6wbb/ZU94V0rOkXUddU9bF1pVzM7MyNuyh8Qj4E9qE8IQN5XQgqQiLxZwS0R0cDte0k87nSd/vr345lT3n/9ZITy+U3v/GXEdm8gLpq5+YbQTwhgULFig2NlZhYWHq37+/Jk+erIEDB3o7LLjI9kPSUx+bUw9/vNX8OeXjC1MR4oJv9lR8asaybEzxXqcUX0XizAMmTZqkH374Qfv27dOGDRv08ssvq3Pnzt4Oy6dsTHHNl02rRVpPwqKYHw5IczZK2XbJXmD2IigwpP3p0itLzAYATDl2acu+6iVwJfP1Px6UMnJcExeAmmvevHnatWuXRowYUWpDLzQ0VM2bN5d0YcTZmTNnNHDgQJ09e1YLFizQSy+9pA8++EDjx4/3aOy+xpVJKcn1HSCOZUh7XTh3fEaO9PMh15UHwL1oE8LdChxmW7i6zWrDMNcKPXLaJWEVs/OIa9pIFrkvuVcaw5D+s8Ic8eAwzDa1Pd8cAb5su5k8A+A5s2fP1oMPPqgZM2YoKytLEyZM0N///nd1797d26HBBfalmUugnMs1P3PzCsyfWbnSf1dVfT3rmii/ArOuVFSOXdrGWtrFkDhzsyNHjujtt9/WzJkzVbduXbVo0UIJCQmKi4uTJD366KNKTEzUHXfcoYICN04k7uNcdePHYZhrk8BkGNKn35XeI91hmMm0Lfs8H5ev2ntcyndR733DkHbREwZAOT766CNJ0tixY50ek5OTI6vVqvj4eEnSm2++qdOnT+vTTz/VsGHDNG7cOP3jH//Q3LlztX37do/E7WvyC6T9Lm5AuXrKXVcmzYrKZFpgwC/QJoQnHDpl3lR0BYuk7W5YP3z74erP7iGZycFDp6WzHuqouOe4mUgsra2YVyAt2yHl0iEV8Ijz58/r4Ycf1htvvKGEhARZLBaNGzdONputqL00e/Zs9e3bV3379tXy5cu9HDEq68sf5bQXiCFzXWuYDp123awrktlBBBc4WW4VrrJ8+XL17NlTkZGRRdvS09MVFxenH374QSdOnNDatWs1bdo0ff755xo5cmS5ZWZlZdW4G2PpGVdICil6HhRQck7zJnWK/7zY0YwLw0mzcw1t3LhZlmp8Ic93WCT1rtRrThzYVmyqweyMY5V6/ZYtmxVgde0cD2ftwTp9rquc5cjzCqSVP2Up6Ix73k+VvY7evoYpmZGSoouel/Y+lCr6XjS0a88B6WTlfgd/ERcXp/DwcG+HAfi9rVu3Sio+DePFjh49qrS0NHXq1ElhYeaiV1988YUGDx6shg0bFh3329/+VuPHj9eXX35ZdCO2LIMGDdKBAzWnO1lweEMN+cvGYtv+NLjkOmH1wy78fOL6kuWcPie9/mvb2p4vtWvfUUaBa+6EtU38ozpcPbFaMV4cnyR9MG+hJo15pNKxtGrVSitWrKj06wBUjavbhDWxPYjqO3KujqQORc+r15ZxKGX/MUWcc+1iZwePtpXDqC8zNVf5dn/xGKUNW39QnaDzLo2xNJvTWiuvoJEK4y7BUaDP16SoRbgbhun5KNqD8Ja1a9cqNzdXI0aMKNqWmZkpu92u+Ph4nTlzRtOnT9fmzZuVlZWlgQMHatu2bbLZbE7LHDNmjJKTPTiMFU5ZA4KV+NBGp/sNQ9px2KHuPa6U4WBewfpt+qnLb/9Z9HxcQulrmRVue2R48e1pmdJ7681/Gw6HVq7ZrNce+KObovWe9u3b68MPP6z060icuVl6enqxBlJaWpo2bNigV155RevWrdOwYcMkScOGDdPHH39cocTZ9u3b1adPH7fF7A3jXzug2g1aFj0vXBC4NLf0LbntlSXm1IOS5DAM9b2qb7XmfrQFhui+GZXrvhbZqpt+N3lV0fPKrs+VlJSkgjzXfulv0KKzxjy9WQFBtZwes3vvL5pyk3veT5W9jt6+hp0H3qXBE94qel7W+1Aq+71oOBz6579f17efT69yPL5s48aNuvLKK70dBuD30tLMIUOFSbFLzZ49W1LxxNrOnTtLTMsYHBysmJgY7dq1q0LnPXDggFJSyllB2I+E1y/Zza5emBRZu/TjbVbn+y6Wuv+A8nNds3Zcw66ZJbZVN8bsnNwa9XcEaipXtwlrYnsQ1dcm/jpdP3FR0fPqtGXy8/P1wYfz9MfZD7s0xmsf+lgx3a+XxWorN8bS4rs4RkkaO/ZWnTzo/qEHv7lnpjomjnO6Pzv7nB574knt2TTP7bH4CtqD8Ja0tLRidapktplq1aqlDh066Ouvv1ZiYqJCQkIUEhKili1bKiUlhXVF/YTFGlj+MRarLFYbiTOpqD51TWGSxVb+9b+ckDhzs9jYWE2fPl1Hjx6VxWLRHXfcIbvdrvbt22vRokVq06aNJKlOnTo6fbpivZPi4uK0caPz7Ls/+uJAA2XYLzw/mmF+Ib5Ykzrml+cPNpjrhFzs6EXPA60ObdywoVrx5Dssmu/hKQxXr17t8hFn+Q6LPv4lSAVOirXIob6dI3W/m95Pnr6O1b2GB87W1/qLptIq7X0oVey9aLHa9PD996jt5BurHI8vq8iIFgDlCw8PV05OjlJSUtSkSZNi+w4ePKhnn31W0oX1zSTp9OnTqlu3bomy6tWrp1OnTlXovK1atap60D7IFlQy8Xj6XMnj6oeZCakCh3SqlP0Xv8aRb1dUi6Yui7F2aMmv3ZWN8dLjg20FiomJqXQsNe3vD/g6V7cJa2J7ENWXllNbyy+aYqk6bZmAgEDd+n+/0/T7nGSvqmjj8WilnrUUzcBV2Xb/xTFK0tw5MxUWaC95kIulZETq25MFKjBKv0EZXCtc/3nxMYUH/tntsfgK2oPwlk6dOik1NVXLly9X//799dlnn+nJJ59Uly5dZLPZlJ6ernr16hUdX69ePaWnp5dZZlVGosA9DEN65tPS22qFImtL327he5AkpRyX/vn1heeFo8cuVTjS7MUvnZdlsViV2LeH3v1/37suQD9H4szNhg0bpiFDhig2NlbR0dEaPXq09u/fr6CgINWtW1cZGea3voyMjGIf7GUJDw+vcT179hnS5n0XBonZ8y/0IrvUsQzn+ywWKSoyoNrXx54vjyfOevXqrSA3/I9MD5bW7janZbyUzWrV6KQmiqzdpOROF/D0dazuNWyTKa2/0EmzzPehVPZ7UZL6dY9WVMNo5wcAuOwlJCRo4cKFeu655/Txxx8rKChIkjmq7IYbbtCZM2ckOZ/Ksapq2jR9hiFN/UTKuGiQ8+ulLGfwxPVmQ+vUOelvn5VdZvMGQdq710UrLUvaeUR6c2XxbdWN8cF7/k8DXv0/l8UIwD1c3Sasie1BVF/WeWnlx+Za1lL12jKGLLqycwt1adnCpTGe3yX98u2F51Vt90tSWLCUdFW8bKWvSuBS3fKlHz+WSpu92WaV2jW2anC/bu4PBIDi4+M1ZcoU3XzzzZKkm266SYmJiWrWrJkkqUGDBsU6oZw5c0YNGjTwSqyoPItFGtRJ+njrhfrsYlaLNLiT5+PyVY3rmNektGtVFc0qlpq4bHjgK8blzWq1aubMmTp79qx++OEH1atXr6hnzlVXXaWvvvpKkrR06VL17eva3lz+JKFdtWZWLGIYUmL76pdTWRGRrYtNMShJ419N9Xwgpbi2mxTbRAqwXpiRPcBqfsEf169iU1V5gi9cw0YRUtvGqtb6eJJ5nZvXk1rx3QxAOR5//HEFBgZq8eLFat++vUaPHq1BgwapS5cu6tu3ryIiImSz2dStW7ei19SrV68ooXax06dPq379+p4L3odYLFLftq4t86p2ri2vfZML65e5QoBV6kXfDMAv0CaEJ4SHSPFR5g206oqoJXVqXv1yLtUr2qy/qssi8x6CJ5JmkhQcYK5LGhIoBV006CzAKjWOkG5N8EwcAExPPfWUTp48qZMnT+o///mPUlJSFB8fL0m68sortW7dOuXm5urUqVM6cOBAlWZogPdc1U7qHV18VcnCuq1vW+lK/pxFwkOkbi6aTMQdbWp/R+LMw5KTk4saSd26dVO9evWUmJiolJQUXXfddV6OzntaNZBa1HO61G6FhQdLXVzbKc7v2azSnUnSvVdLcb9em94x0tQbpK4ty37t5SgxtvpJXENmAre6CTgANV+vXr20bNkyJSQk6NixY1q6dKkcDofef/99Pf7448rMzFTHjh0VGhpa9JqOHTtq586dxcrJzTXXuurQoYOnfwWf0beta24WSlJQgNSzjWvKKmS1ujYZF9/a7G0PwP/QJoS79It1Ta/zfrHuSUqFBpn1qyvqa0/f3GvVwGxDj+xudraUzE6qjwynPga8yW63Kzk5uShxVrduXU2cOFEDBgzQtddeq5dfflk2mwvXgYLbWS3SzVdKD/zGrDeCAqRebaSHhkq/68W9tkv1c9HyfV1aSHVDyz/ucsJUjR6WnJysCRMmFD1/8cUXvRiNbxnQUZr9TfXK6N/Bc73O/InFIrWJlK6Ok34+ZPbcqB3i7ah8U+dfK4qMnKol0CwWqVag1D3K9bEBqJmSkpK0bt26Ets/+OADScXXN5Oka665Rs8884zS09OLph355JNPlJubq2uuucb9AfuoOqFSl5bSDweqX1bP1lKtoOqXc6k+MdKXP5rrl1VXPxePiAPgObQJ4S6tG0ot6ktHTlctgWaRZLOZ9ZW7JLaXNqVU/fUWi9S1hVTPhaO4KyokUEqIlZrXl15daraxrdx/ALxq165dkqQuXboUbRs3bpzGjRvnrZDgAoX3MQs/629hQL5TbSLNWa8Ol7FMblpm+eUkuigBV5NQxXvYkiVLdNNNN3k7DJ/Uo3XZPbELFw6+eDHgQhZJHZsxzy2qz2aV7h4gBVqdj4B09l60yOwZc9cAuWW9OgCXly1btkgqub7ZPffco7p162rkyJFaunSpZs2apfvvv18333yzOnW6vCvCEd3M0efOnD4nnThr/nSmXpg0tKvLQ5NkTqUxsnvZx1QkxqvaMR0w4M9oE8JdLBZpfKLZ+cNZj/yy2tWSdEc/c6pGd2lezxwx4ExZ8VktUsNwcyQCAEhS165dlZeXp5AQeofj8mSxSLcnmqPznN3HfG+9+XBmaBepXRO3hOfXuLULn2GxSL/tKeUXSJv3ldxf1sLBsU3NDwlGm8EVmtWT/jBIemuVlJtfcuRZae9Fi8Wc4358f7O3BwBU19atWyWVHHFWt25drVixQg888IBuvPFG1apVS2PGjNH06dO9EaZPaVjb7Lzw+nLz8/tSry8v+/VhwdI9A6U6brxh2L+9dOactGJn6fvLi7FzC/P7ElOUAABKUz9cunew9J8VUlZuBdsyMuuVsX0vTO/vTgmxZj392fcl9zlr91ssZj3/x0FSKFMjAgBQJLK2eR/zzZXSudzKvTapgzSsS/nHXY5InMGn2KzSLX2kpnWlr7eb/9ktlpJf9i0y15EKDjCnehjelaQZXCu6kfTwUOmjrdLuY6W/D6UL29s0lG7saU6NAgDV5XA49P3338tms6lbt24l9sfGxmrJkiWeD8wPRDWUHvyN2WjIyKn46xrWNpNmkbXdF1uhEfHm6LPSbhiWpW9bs5c+33kAAGVpVk+aOFxasEXafsjcVtrMjVaLOaVjs3rSDT0urN3lCYM6SQ3CpUXbpJNnL8RSGqvFnKHmhp5mj3oAAFBcqwbmfcwPN0p708o/PizYvJ/uqjXSaiISZ/A5Fos0sKPZI/ung9Ka3dK+S/7DN61rrmfWPYop8eA+jetIfxosnciU1u+RNqZI5/Mu7A/4df7/hHbmexIAXMVqters2bPeDsNvNasnPXqtOYJ9/W7pZJbzY5vUMT/He0Wba5d4gsVi3jBs18SM79tUKa+g9GOtFnOUWUI7KbYJI80AABVTN1S6M8mc+nfDXrM9c3EvdJtF6tHGvGHmrel/r2gldW0p7T0urdst/XSoePKsbqi55sqVMWaHEwAA4FzD2tJ9Q6SjZ8x6f/M+cyT3xaIjzbq/a0vzviacI+UAn2WzSt2izEeBwxz18+ZK6f4hUkwjb0eHy0lkhDSqh7kujT1f2nNcenu1OQUK0zICgG8KCzY74iR1kJKPStsOSN+lmgmqIJt5s7BHa/M7hbeSUS3rS2P6SNfHS5t/kfaflH4+dCHGQZ2kPm3NG4cAAFRFvTDpmivMXuX2AmnPMbMtc98Q32jLWCxmR5J2TSSHQ9p9XHpjhXTf1Z4dAQcAQE3RtK45U8n18VJmjnk/3WKRHhhCR5TKIHEGv2CzmgscF/4b8AaLRQoOvFDJ0OsfAHyf1SJ1bGY+Uo6bo88iakk3X+ntyC4IDZYGdDD//ddPL8Q4rKt34wIA1BwWi7nUgS+3ZazWC6O/6QUPAED1BAWYo9AKZ2sjaVY5pCAAAAAAAAAAAAAAkTgDSmWzmlM8eUpYcM0cSefJ61hTryEAAAAAAAAAwHOYqhEohc0qPX2jubaap85XE5M+nryONfUaAgAAAAAAAAA8h8QZ4ASJGNfgOgIAAAAAAAAA/AW3swEAAAAAAAAAAACROAMAAAAAAAAAAAAkkTgDAAAAAAAAAAAAJJE4AwAAAAAAAAAAACSROAMAAAAAAAAAAAAkkTgDAAAAAAAAAAAAJJE4AwAAAAAAAAAAACSROAMAAAAAAAAAAAAkkTgDAAAAAAAAAAAAJJE4AwAAAAAAAAAAACSROAMAAAAAAAAAAAAkSQHeDgDuUeAwH55gs5oPAAAAAAAAAAD8UbZdsue7/zxBAVJokPvPg6ojcVYDFTikpz6WzuV65nxhwdLTN5I8AwAAAAAAAAD4n2y7NG2hlJvn/nMFB0pTRpE882WkOmqgAofnkmaSeS5PjW4DAAAAAAAAAMCV7PmeSZpJ5nk8MbINVceIMwAAAAAAAAAALgO5edKJs1JOnmSzSKHBUqPakpUhNkAREmcAAAAAAAAAANRgR89I6/dIm/eVHO1UN1RKaCf1aSvVDvFKeIBPIXEGAAAAAAAAAEANlJEjvf+NtPuY82POZEuLf5CW/CRd1VYa2V0KsHkuRsDXMAATAADAB+zcuVPjxo1Ts2bNFBISotjYWE2fPl2GYahBgway2WzKysrydpgAAAAAAD9xPFN6ZUnZSbOLFTiktbult1ZJuazBhcsYI84AAAC8bN68eRo3bpxyc3PVo0cPJSYmaseOHZo0aZL279+vU6dOqWPHjgoPD/d2qAAAAAAAP5CZI72x3BxNVppxCebP99aX3Lf7mPTeOmlCf9Y+w+WJxBkAAIAXbdiwQbfeeqtq166tJUuWaMCAAZIkwzD0l7/8RS+99JIkqUePHl6MEp5Q4JDyHea/DcO7sQAAAADwb/M2S6edJM0kqVFE2a/fftgcfZbUwbVxAf6AfLGH5Ofn67HHHlP9+vXVsmVLvfzyy4qNjfV2WAAAwIsKCgo0fvx42e12zZ8/vyhpJkkWi0VPP/20AgLMfk49e/aUJO3du1d/+MMf1K1bNwUEBKhz587eCB0u5HBIX2+Xnl54oTfoqXPSwm+ZHgWoKWgPVp1hSHuOm73e/7lMmr9ZOnrG21EBALxpwYIFio2NVVhYmPr376/Jkydr4MCB3g7Lp6RnST8fqn45a3fTqa80r/3eUux55olU/e+h1t4JBm7BiDMPmTRpknbu3Kl9+/YpKytLffr0Ue/evb0dliTzP/ZXb96u301eVbTtfw+11vhXU70WEwAAl4N58+Zp165dGjFiRKkNvdDQUDVv3lz79+8vGnG2fft2LV68WFdeeaUcDoccDoenw4YLOQzp/Q3St6nFtxuSVu2SUk9KfxosBfGtHfBrvtwe9GUOhzRznbT9iJRfYG775YS0MUUa3lW6Os678QEAPG/27NmaNGmS5s2bp6uuukrvvfeeJkyYoAcffNDbofmUDXtdU87Js2YHltgmrikP8BeMOPOAI0eO6O2339bMmTNVt25dtWjRQgkJCYqLi1Nubq769Omj8PBw7d3rok80AADgFz766CNJ0tixY50ek5OTI6vVqvj4eEnSiBEjdPDgQS1YsEDdu3f3SJxwn+2HSibNLpZ6Ulq9y2PhAHAD2oNVt3KntOOipJlkdjgocEhLfjRv5AEALh/nz5/Xww8/rDfeeEMJCQmyWCwaN26cbDZbUXspMTFRDRs21NSpU70brBcVOFyXOJOk9btdVxbgL+i76gHLly9Xz549FRkZWbQtPT1dcXFxCgwM1KeffqpJkyZ5MUIAAOANW7dulXRhGsZLHT16VGlpaerUqZPCwsIkSVZWZq5R1u8p/5hv9pqjKiyW8o8F4HtoD1aNwzATZ3kFpe8vcEgrdkjtGns2LgCA96xdu1a5ubkaMWJE0bbMzEzZ7faixNmcOXO0fPlypaameilK78vKlc7luq68oxmuK6smef/xbkX/duTbvRcI3ILEmQekp6cXaySlpaVpw4YNeuWVV2S1WtW4ceW+6WdlZWn79u1O9+c7LJIqN+3HiQPbtOCvA4qeZ2ccq9Trt2zZrACreye8PXk+TFJnbd/+s46HnHPruWoqrqFrcB2luLg4hYeHezsMwO+lpaVJUlFS7FKzZ8+W5DyxVlWDBg3SgQMHXFqmPxj4wHKFNYjS/v371bbtYG+HI0ka9PBqhdZtXuYxp89JHTp1UUFejkvO2apVK61YscIlZQEon6fbgzXF+YIAZeV2l1R6rwFD0r5jedq06TuPxuXvfL0t4+vxSf4Ro7vRHoS3pKWlFatTJbPNVKtWLXXo0EGS1LJly0qVOWbMGCUnJ7ssRl8QWr+Neo3/uNi2cQlSo4jixxU+f2R48e1pmdJ76y88P3TslOLjPd9+6n7rB5Kk+Cdu8cj5gsIbqe8fllb4+LHPbiv6d+aJVC3424BKnW/o0KGyZ6VV6jVV4enr6Gvat2+vDz/8sNKvI3HmAbGxsZo+fbqOHj0qi8WiO+64Q3a7Xe3bt69Sedu3b1efPn2c7rcFhui+GZW7sRLZqluJNc4qIykpSQV55yv1mspqHNNbY6Zt0oQJE3Q8ZbNbz1VTcQ1dg+sobdy4UVdeeaW3wwD8Xnh4uHJycpSSkqImTYpPGn/w4EE9++yzklS0vpmrHDhwQCkpKS4t0x/0y8+TJOXl5/nM75+Qk6XQumUfYzgc2rtnlxwF+R6JCYBrebo9WFMEBofpj29nylLGcNsTxw+rz//V/GvhSr7elvH1+CT/iNHdaA/CWzp16qTU1FQtX75c/fv312effaYnn3xSXbp0kc1m83Z4PsNRkOfa8vJdOHwN8BMkzjxg2LBhGjJkiGJjYxUdHa3Ro0dr//79CgoKqlJ5cXFx2rhxo9P9+Q6L5u+rarRVs3r1ao+MOFt2SHrnnXfU8DLt1VVdXEPX4Dqan0MAqi8hIUELFy7Uc889p48//rjou8HOnTt1ww036MyZM5JcP+KsVatWLi3PXwQGBBb9jImJ8XI0plP71qhe07JvnqftWaU2raNcds7L9e8PeIun24M1yfLDZ5WWE6HSRp1Z5dBVsQG65zK5Fq7i620ZX49P8o8Y3Y32ILwlPj5eU6ZM0c033yxJuummm5SYmKhmzZpVucyqjETxddl26fH5xbddPIKsUOFIsxe/LLu8tlFN9cb337smuEp44Qvz5zseOveZbGnqJx45lSRp6dKlqhvq/vN4+jrWFCTOPMBqtWrmzJmaOXOmJOn111+v1peM8PDwMnv22PPl8cRZr169FeTmd1PqSWnZISkurrNaN3TvuWoqrqFrcB0BuMrjjz+uxYsXa/HixWrfvr169eqlkydPas2aNbr11lt19OhRnTt3Tt26dXPpeS/Xafr++ql0MkuKiorS3r0uXC27GtKzpOmLpVwng8kskp65d5DaPu0b8QKoPE+3B2uSpunSP76S8h3Ft1stUmiQVWMGtVB4SAvvBOenfL0t4+vxSf4RI1CTPfXUU3rqqaeKnnfu3FnXXnutFyPyPaFBUnQjaZ+LZgHsXLnZL4EagdXlvSA5OblYQ2nUqFH66quvdNttt2n+/PllvNI9IiJbF5umUZLGv5rq8TgAALjc9OrVS8uWLVNCQoKOHTumpUuXyuFw6P3339fjjz+uzMxMdezYUaGhHuiGBq9oEC5NSJKCS+mAZLVIN/eR2lZu+SMAPs7X2oO+rFUD6U+Dpcjaku3XQWdWi9QmUnp4mBQe4t34AADeZbfblZycrPj4+KJtt912m1544QW99957uvrqq70YnXf1a+eacqwWqa9vTNbhUx6cXXzmtYjI1txPr2EYceYFycnJmjBhQtHzhQsXei8YAADgVUlJSVq3bl2J7R98YC7g6+r1zeB7YptIT46UNu+Tdh+THIZ5s7hvWzOxBqBmoT1YOdGNpMdHSN+mSrO/kW5LlK6g5zsAQNKuXbskSV26dCnaVjjC+3LXtaUUHixlVXN5sq4tpTr048RliMSZFyxZssTbIQAAAB+3ZcsWSSXXN8vOztYXX5iTlO/fv1+ZmZlasGCBJHMEW1SU69bCgueEh0iDOpkPADUb7cHKs1ikhrXNf9ep5d1YAAC+o2vXrsrLy/N2GD4pwCYN7SJ9tNX5MWmZzvdZJFmt0mCWNMRlisQZAACAD9q61WzhXDriLC0tTTfddFOxbYXPZ8yYodtvv90j8QEAAAAAfFe/WDM5tnZ36fvfW1/6doskQ9KtCVLL+u6KDvBtJM4AAAB8jMPh0Pfffy+bzaZu3boV29e6dWsZhlH6CwEAAAAAkDli+4aeUlCAtHxHxV9ns0rj+pnTNAKXKxJnAAAAPsZqters2bPeDgMAAAAA4MesFmlEvBTTSFqTLO06am4vHFV2sQCr1LONlNRBalrXw4ECPobEGQAAAAAAAAAANVSn5ubjxFnpmz3SoVNS6klzX0wjqUMzqXcbKTTYu3ECvoLEGQAAAAAAAAAANVxkbWlkd/PfL3xh/vzDIO/FA/gqq7cDAAAAAAAAAAAAAHwBiTMAAAAAAAAAAABAJM5qJJtVCvPgfLRhweY5AQAAAAAAAADwN0EBUnCgZ84VHGieD76LP08NZLNKT98oFTg8dz4SZwAAAAAAAAAAfxQaJE0ZJdnz3X+uoADzfPBdJM5qKJJZAAAAAAAAAABUTGgQCS2YSK0AAAAAAAAAAAAAInEGAAAAAAAAAAAASCJxBgAAAAAAAAAAAEgicQYAAAAAAAAAAABIInEGAAAAAAAAAAAASCJxBgAAAAAAAAAAAEgicQYAAAAAAAAAAABIInEGAAAAAAAAAAAASCJxBgAAAAAAAAAAAEgicQYAAAAAAAAAAABIkgK8HQDgqwoc5sMTbFbzAQAAAACu4Kn2DG0ZwL24NwEAgOeROANKUeCQnvpYOpfrmfOFBUtP38gXVAAAAADV58n2DG0ZwH24NwEAgHdQFQKlKHB47oupZJ7LUz3IAAAAANRsnmzP0JYB3Id7EwAAeAcjzgAAAAAvcziks+elbLvkMKTQIKl2iBRg83ZkAAAAAABcXkicAUANcSxD2nH415uuDqlWkNSivtS+qWS1eDs6AEBpss5LG1Ok9Xuk0+eK7wsLlq6MkRLaSQ3CvRMfAAAAAACudvi0tG2/2YE0r0CqFSg1qC31aiOFh3g7OhJnAODXChzST4ekNcnSvjRzW2GSzDAkQ1K9MCkx1rz5GhbstVABABfJzpU+/lb6fr/zKZHO5Uordkgrd0gdm0k39pQa1vZsnAAAAAAAuEJ+gfTDAWntbin1ZOnHfL5Nio+S+sVKrRt6NLxiSJwBgJ86ky29scIcaWa5aESZwyh+3Olz0mffS0t+lCYkmSPQAADek54lvbVSOp5ZseMNSTuOSAeWSncNkKK82HgAAAAAAKCyzp6X/rtKOpBe9nEFDmnrL+ZjYEdpRLx3ZtKyev6UAIDqOpUlvbzkwk1Xwyj7eMkc9vzGSrNnBwDftHPnTo0bN07NmjVTSEiIYmNjNX36dBmGoQYNGshmsykrK8vbYaIazp6XXl9e8aTZxbJypf+skI6ecXlYAAAAAAC4xdkc6dWl5SfNLrVyp/Thxord93Q1EmcA4Gdy7OZIs6zzpVccQQFSVAPz58UMmce/t1765YRHQgVQCfPmzVN8fLxmzZqlZs2aaeTIkQoODtakSZN033336dSpU2rfvr3Cw1nsyl8ZhjRjjTnizJk/DZaeuN78WZrzeeZotdw898QIAAAAAICr2POlt1Y5bwePSzAfzmzeJy35yS2hlYnEGfzG+V9vEHkjwwwUyi8w15zxpnW7pbSzJadkLNS0jvTwMPNnaRyGtPBb98UHoPI2bNigW2+9VeHh4Vq5cqW2bt2quXPn6scff9TEiRP1+uuvS5J69Ojh5UhRHb+ckPaV03GhXpgUWdv86czpbOm7/a6NDQAAX2DPN386a+sAAAD/8t1+6eAp5/sbRZiPsiz72Ry15kkkzjwkPz9fjz32mOrXr6+WLVvq5ZdfVmxsrLfD8gvbD0vTF5sjbCRpxlppyz7vxoTLz7lcae4m6f/NM+fjlcw1wzI8/KHtcJiJs+owDGl/unSojEoLgOcUFBRo/Pjxstvtmj9/vgYMGFC0z2Kx6Omnn1ZAgDmEtGfPnpKk+fPna9SoUWrZsqXCwsLUtWtX/ec//5HD4fDGr4AKqu7n96Vl0ZkI8B+0B4GyHTxlTmX8+nLz+Vsrpa9+Mtc5AYBLLViwQLGxsQoLC1P//v01efJkDRw40NthAbiEYUjrkqXqLlHmMKSNKS4JqcJInHnIpEmT9MMPP2jfvn3asGGDXn75ZXXu3NnbYfm8zSnS/9ZIR85c2JaZI83dbCYtfEXmiVQt+OuAYtv+91Brr8QC18u2Sy99aQ4Nzr+o4bb7mPTSF57t8bDjiGuSdRaLtH5P9csBUH3z5s3Trl27NGLEiFIbe6GhoWrevLmkCyPOXnrpJQUHB+uFF17Q559/rlGjRumBBx7QpEmTPBo7Ku5sjvTDQdeVd/i0lHrSdeUBcC9fbg/SloG3pZ6UXvvKbF8VOp8nLdtu3g9g9FnF8f8Zl4PZs2frwQcf1IwZM5SVlaUJEybo73//u7p37+7t0ABcYn+6dOi0uXxMda3bbQ4o8BQSZx5w5MgRvf3225o5c6bq1q2rFi1aKCEhQXFxcVq9erX69Omjfv366eGHH/Z2qD7Fni8t2FJ6D7P8Aumrn6Uz2Z6PC5efVTvNhO2l70WHIZ2zS0t/9lws36ZK1up205DZ42PrL4xWAHzBRx99JEkaO3as02NycnJktVoVHx8vSVq0aJHmzp2rMWPGaODAgXr66ad1//3361//+pdyc708nyxKtf2I63vN/+jCRBwA96E9CJRt7kazjX+pvAIzmXZxQg3A5e38+fN6+OGH9cYbbyghIUEWi0Xjxo2TzWZTfHy8tm/frn79+ikxMVH9+vXTli1bvB0ycFn7LtV1ZWXkmMsfeEqA5051+Vq+fLl69uypyMjIom3p6emKi4tT27ZttXr1agUHB2vs2LH66aef1KVLlzLLy8rK0vbt290dttcdOFtfDke0JFvpBxgOfbLmkDrVO+ryc+c7LJJ6u7zcsmzZslkBVvdmMU6eD5PUWdu3/6zjIefceq6aZM0v8cp3BJW6r8AhbdhToBYFW2VxQUKrPIeOd5TDuDDxb1BAybXMmtQp/vNiRzMurBuQVyCt37hFgdbK38mNi4tTeHh4pV8HoKStW7dKujAN46WOHj2qtLQ0derUSWFh5sJXF3+nKBQfH6/z58/r1KlTatq0aZnnHDRokA4cOFDNyP3PwAeWK6xBlPbv36+2bQd79NwxCXep42+Kjwj80+CSa5nVD7vw84nri+87fe7CFFaS9N6cBZo4+v9VOpZWrVppxYoVlX4dgKrxRnvQ0+0Z2jL+w9euY6Y9RMczushZv+68AkOfbzqtjKa+M12GJ6+hr96boD0Ib1m7dq1yc3M1YsSIom2ZmZmy2+2Kj49XZGSkPv/8c9WtW1c7duzQnXfeqW+++abMMseMGaPk5GR3h+6Tut/6gSQp/olbvBxJ6Xw9Pn/hzevY8bq/K7L9EFksZj0/LqHkemaFzx8ZXvL1aZnSe+svPP/DA3/Ryd1fVyqG9u3b68MPP6zUayQSZx6Rnp5erJGUlpamDRs26JVXXimaekmSAgICZLM5SRJdZPv27erTp49bYvUlXa/+k/qNma7AkLBS9ztk1f9mzde6OY+4/Ny2wBDdN6Ny8+GdOLCt2JQI2RmV6xaXlJSkgrzzlXpNZTWO6a0x0zZpwoQJOp6y2a3nqknunZGjgEDn+wsMm65KSJDhKKWbpIvd8sxWNWrTo+h50zrSw8OcHNu35LZXlpjDpAsNHXadsjPTKh3Hxo0bdeWVV1b6dQBKSksz/w8WJsUuNXv2bEnOE2uF1q5dq/r166tRo0blnvPAgQNKSfHwBOE+oF9+niQpLz/P479/5BUl6/h6YVJk7dKPt1md7yt03m5cln9HwN94oz1Y2fYMbZnLh69dx2axCRr56JcKCnFW6Vm0Zdtu/eWGUho3XuLJa+ir9yZoD8Jb0tLSSnQinD17tmrVqqUOHToUq0eDg4MrVK8CcB9rQIhLy7MFhbq0vLKQOPOA2NhYTZ8+XUePHpXFYtEdd9whu92u9u3bFx3z/fff6+TJk+rUqVO55cXFxWnjxo3uDNknHD1XR2uPhajASUcnm6VAf7jtRr34QD+XnzvfYdH8fZV7TWSrbvrd5FVFzys7j/jq1as90ktz2SHpnXfeUUMf6F3oLxbtN5SV53x/sM2uDd+sd36AC6043FbHL2o3Hc0wk2EXa1LHTJp9sEE6llF839FLni9bski2Krzv4uLiKv0aAKULDw9XTk6OUlJS1KRJk2L7Dh48qGeffVbShfXNSrN161bNmDFDU6ZMqVDjsFWrVtUL2k8F/toLIjAgUDExMR49d+2wkiOXT5dSFdcPM5NmBQ7p1Lmyjw8OMKr0e1yuf3/AW7zRHqxse4a2zOXD165jdn6gPksNc7r2iUUOJfSI1p996B6IJ6+hr96boD0Ib+nUqZNSU1O1fPly9e/fX5999pmefPJJdenSpVg7KD8/X/fee68mT55cbplVGYlSU7zwhfnzne+/924gTvh6fP7Cm9dx1npz2ZlC75Vy+7RwpNmLX5Zf3vN/m6YrWk1zSWzlIXHmAcOGDdOQIUMUGxur6OhojR49Wvv371dQkHkDJS0tTQ888IAWLFhQofLCw8Mvi549Dof07SfSWScdnSxWm347sI1CAtu4/Nz2fFX6y2l19erVW0Fu/h+ZelJadkiKi+us1g3de66aJL+etPA7c2rDSwXapKs7B+nKzp75P5m6STqRcmGBbHt+8RFkFzuW4XyfJIUHS1f19ey0HwBKSkhI0MKFC/Xcc8/p448/Lvp+sHPnTt1www06c+aMJOcjzo4dO6bf/va36t27tyZNmlTqMZe6XKfp++un0sksKSoqSnv37vXoub9LLdlIuHjaxUJPXG+ONDt1TvrbZ2WXedftozX85dEuixGAe3ijPejp9gxtGf/hi9dx13lpz/ELbZyLWa1W3ZjQSC3qlz+i3lM8eQ1r6r0JoKri4+M1ZcoU3XzzzZKkm266SYmJiWrWrFnRMQ6HQ7feeqtGjhypoUOHeitUAJIauHhWX1eXV5bSJ5GGS1mtVs2cOVNnz57VDz/8oHr16hX1zsnNzdX//d//6dVXX1Xjxo29HKlvsVqlCUlmYsJ20TvVapECrNJtCVJIGdPnAa7Sp63UtrH5XrxYoE1qWV8a2NGDscSU3qCsLIukq9pVvxwA1ff4448rMDBQixcvVvv27TV69GgNGjRIXbp0Ud++fRURESGbzaZu3bqVeG1GRoaGDx+u0NBQffbZZwoMpGL0VXEtXP+9pWdr15YHwD1oDwJlu6Wv2akv4KJ2v0Xm8990llrU91poAHzQU089pZMnT+rkyZP6z3/+o5SUFMXHx0uSDMPQnXfeqSuuuEJ//OMfvRwpgN7RrinHIql5PfPhKSTOvCA5ObmoofTee+/pp59+0sSJEzVgwABt2LDBy9H5ltYNpUnXSn3bShG1pNohUvco6c/DpC4tvR3dBRGRrYtNhSBJ419N9UoscD2bVborSbqpt9SinhQWLDWtK93YU/rTYCnAg1Nmt2pgVhIWF5RF4gzwDb169dKyZcuUkJCgY8eOaenSpXI4HHr//ff1+OOPKzMzUx07dlRoaPG5vM+fP6/rr79eaWlpWrJkiRo0aOCl3wAVERzgukaDJLVvKkVGlH8cAN/ja+1B2jLwtrqh0qTrpCGdzSmLw4Ol2CbS3QOloV28HZ1/4f8zLjd2u13JyclFibPFixdrzpw5WrJkiQYMGKAbb7zRyxECl7eGtaWOzco/rjyGpH6xksUVN0QriMHXXpCcnKwJEyZIku666y7dddddXo7ItzWsLf2ul/kAvMVqNW94uvKmZ1VYLFJie+nDakzxb7VInZqbDVQAviEpKUnr1q0rsf2DDz6QVHJ9s/z8fI0ePVo//vijVq9eraioKI/EiepJiJXWJLumrH50fgD8Fu1BoKSwYDNJRqIMQGXs2rVLktSli/nhcd111+n8eSdrvgDwin7tpJ1Hqv56i6SgQKl7a1dFVDEkzrxgyZIl3g4BgB/r1Ub68YBZ6VR21kaLxWyU/rb0pZIA+JgtW7ZIKrm+2b333qtFixZp+vTpys7O1saNF7LpnTp1UkQEQ5F8UeMI6coYaVNK9cppE2l2gADgn2gPAgDgGl27dlVeXp63wwBQhk7NpR6tpW9TS9+flln26w1Jt1xpzuLiSSTOAMDP2KzSbYnSmyukfSdK7j+aIb2yxPx5MavFXF/nD4OkemGeiRVA9WzdulVSyRFnS5culSQ9+uijJV6zcuVKDRgwwO2xoWpu6iWdPiftPlb6/tPniv+8VGRt6c6k4uu/AgAAAADgiywW6ZY+0rlcadfRkvvfW+/kdTKTZjf2lLp5YZIdEmcA4IeCA8z11eZulrbsu1CZSJI9X9qffuFYq0VyGFKTOtKEJKlBuDciBlBZDodD33//vWw2m7p161ZsX2pqqldiQvUF2MzE16z10k+HSu5/fbnz17asL909wBw5DAAAAACAPwiwSXcNkBZskTbsLfvYwnucATYz4ebpKRoLkTgDAD8VYJPG9pWGdZG+2SN9s1fKsRc/xmKRrmhlLqAZHenZRTQBVI/VatXZs2e9HQbcIChAuiNRWr9HWru7/Kkp6tSS+raVBnby/PQUAAAAAABUl80q3XylNLCj2RbelCKdL2Wm1cgIKTFW6tlGqhXk+TgL0fQGAD/XIFwaES8N6yodSJdST0qLvjeHMse3kmrX8naEAIBLWa1SYnuzY8Pe49K63ebnd0aOud9ikdo1lhLaSZ1bMDUjAAAAAMD/NYqQbughXXuFuYTBgi2SYUjXdpMahptrevtCx38SZwBQQwTapJhGF26utmpA0gwAfJ3FIrVrYj4k6a+fSiezpAZh5pS8AAAAAADUNEEBZifRL380n/eO9m48l6LvKgAAAAAAAAAAACASZwAAAAAAAAAAAIAkEmdAqWxWKSzYc+cLC2btEgAAAACu4cn2DG0ZwH24NwEAgHewxhlQCptVevpGqcDhufPx5RQAAACAK3iyPUNbBnAf7k0AAOAdJM4AJ/jCCAAAAMBf0Z4Bagb+LwMA4HlUvQAAAAAAAAAAAIBInAEAAAAAAAAAAACSSJwBAAAAAAAAAAAAkkicAQAAAAAAAAAAAJJInAEAAAAAAAAAAACSSJwBAAAAAAAAAAAAkkicAQAAAAAAAAAAAJJInAEAAAAAAAAAAACSSJwBAAAAAAAAAAAAkqQAbwcAAAAA32IYksPw7DmtFsli8ew5AQAAAAAALkXiDAAAAMU4DGniB54950u3SDYSZwDgMgUO8+FuNqv5AACgJsu2S/Z8958nKEAKDXL/eQCUjcQZAAAAAAA1SIFDeupj6Vyu+88VFiw9fSPJMwBAzZVtl6YtlHLz3H+u4EBpyiiSZ4C38dUWAAAAAIAapMDhmaSZZJ7HEyPbAADwFnu+Z5JmknkeT4xsA1A2EmcAAAAAAAAAAACAmKoRAAAAAAAAKJVhSClp0rrd0v6T0jm7uf3dtVJ8lHRVOymytndjzM2TtqZKm1KkM+ek3HwpOECqHy71iZG6tzbXTQIAABVDtQkAAAAAAABcxDCkjSnSyp1SWqZktUgO48L+M9nSql3m/vZNpN90lmIaezbGs+elr34yE2b2AskiqTDE3Hxzf+pJ6ZNvpT5tzRjDgj0bIwAA/ojEGQAAAAAAAPCrAoc0d5O0ed+FbRcnzQoZv27bfVzafUy6+UozQeUJxzOl/yyXMnIuxHFpiBcn0dYkSz8fkv44SGro5RFyAAD4OtY4AwAA8AE7d+7UuHHj1KxZM4WEhCg2NlbTp0+XYRhq0KCBbDabsrKyvB1mMYd2rNJrv7foh6/+Ver+kwd/1mu/t2jjR1M9GxgAAEAVGYb0/obiSbOKvMaQ9OGmyr2uqtKzpH98JWVelDQrj2FIp8+ZrzuT7d74AADwdyTOAAAAvGzevHmKj4/XrFmz1KxZM40cOVLBwcGaNGmS7rvvPp06dUrt27dXeHi4t0MFAACo0Vbtkr5Ldb4/KECKauB8zbAPNkoH0t0SmiTJ4ZDeWinl2EsfBVdWfA5DOpsr/XdVxRNuAABcjkicAQAAeNGGDRt06623Kjw8XCtXrtTWrVs1d+5c/fjjj5o4caJef/11SVKPHj28HCkAAEDNVuCQlm8v+5imdaSHh5k/S2ORtHqXy0MrsvOIOU1jaUkzqfz4DEM6fFrac9x9MQIA4O9InHlAfn6+HnvsMdWvX18tW7bUyy+/rNjYWG+HBQAAvKygoEDjx4+X3W7X/PnzNWDAgKJ9FotFTz/9tAICzO7CPXv2lCR9/PHH6tevnxo2bKiQkBDFxMTokUceUUZGhjd+BQBABfhymzDzRKoW/HVAsW3/e6i1V2IBvO2nQ1JWbvXKcBjS9/uls+ddE9Ol1u6WLJbqlWG1SOt2uyYewBsWLFig2NhYhYWFqX///po8ebIGDhzo7bAkSa/9vvh/0MwTqdSrgB9yMrAcrjRp0iTt3LlT+/btU1ZWlvr06aPevXt7OywAAOBl8+bN065duzRixIhSG3qhoaFq3ry59u/fXzTi7NSpU+rfv7/+/Oc/q379+vrxxx81depU/fjjj/rqq688/StIkvJyzynn7MkS23Ozz3g+GADwQbQJAf+wNtlMSlV3GkOHIW1Kka6Oc01chU6elXYdrX45DkP66aC51lnd0OqXB3jS7NmzNWnSJM2bN09XXXWV3nvvPU2YMEEPPvigt0MDUIOQOHOzI0eO6O2339bevXtVt25d1a1bVwkJCYqNjdXBgwd18803KzAwUHXq1NHcuXNVq1Ytb4cMAAA85KOPPpIkjR071ukxOTk5slqtio+PlyTdeeedxfYPGDBAISEhuueee3TkyBE1a9bMfQE7sX7u/9P6uf/P4+cFAH9AmxDwDw5D2pcmuWrprz3HXZ84S0lzXVmGpF9OSPFRrisTcLfz58/r4Ycf1v/+9z8lJCRIksaNG6e7775b8fHxOn/+vAYPHqzAwEBlZWVp4sSJuuWWW7wcNQB/ROLMzZYvX66ePXsqMjKyaFt6erri4uLUrFkzrVu3TlarVdOmTdPnn3+um266qdwys7KytH17OZNuA6U4eT5MUmdt3/6zjoec83Y4cBNP/J3j4uIUHh7ulrKBy8nWrVslXZiG8VJHjx5VWlqaOnXqpLCwMKflNGzYUJJkt9srdN5BgwbpwIEDTvdbrAG6dkrFF+e4Ysh9iu4xssT2zBOpWv7OXRUqo0OHDjIc+RU+Z1UMfGC5whpEaf/+/WrbdrBbz1VVnoixVatWWrFihVvKBlCSq9uEFWkP5jsskio+ou3EgW3FpmvMzjhW4ddK0pYtmxVgdVW6oXS0ZVyD6+icvcAmQ8W/kwUFlFwrrEmd4j8vdjRDsv/6dSbtVJY2bXLtvZtdZ5pIaiVzJbXKx3dpjDuSf5H9WOWzcbQH4S1r165Vbm6uRowYUbQtMzNTdrtd8fHxCg4O1qpVqxQYGKiMjAx17ty53MTZmDFjlJycXOYxQeGN1PcPSysc5/uPdyv6tyO/Ym20iw0dOlT2LBdmyp3ofusHkqT4J3wzuejr8fkLX7+O7o6vffv2+vDDDyv9OhJnbpaenl6sgZSWlqYNGzbolVdekc1mK9peUFCgdu3aVajM7du3q0+fPi6PFTVf45jeGjNtkyZMmKDjKZu9HQ7cxBN/540bN+rKK690S9nA5SQtzWwMOUuKzZ49W1LpibWCggLl5eVp+/btevrpp3X99derdevWFTrvgQMHlJKS4nS/1Va5r4j1mrZXq85Xl9h+8uDPFS5j374UOQrcmzjrl58nScrLzyvz9/cmf4gRQOW4uk1YkfagLTBE983IqXCMka266XeTVxU9r+xaLElJSSrIc9OCTr+iLeMaXEfngkLr6I9vnSm2rWkd6eFhpR9/S9+S215ZIu1PN/+dvCtZU29y7b2b+OEPK/H/Xipa46yy8V0a4/PPP6+fVrxZ6ThoD8Jb0tLSitWpktlmqlWrljp06CCLxaLAwEBJZkeTrl27eiNMjX12W9G/M0+kasHfBnglDgBVR+LMzWJjYzV9+nQdPXpUFotFd9xxh+x2u9q3by9JWrdunR588EGFhIRo4sSJFSozLi5OGzdudGfYqKFOng/TskPSO++8o4b0LqyxPPF3jotz8ZwjwGUqPDxcOTk5SklJUZMmTYrtO3jwoJ599llJKlrf7GINGjRQRkaGJGnYsGGaM2dOhc/bqlWrMvdbrJ7/ihgdHeP2EWeBAYFFP2NiYtx6rqryRIzl/f0BuJar24QVaQ/mOyyav88l4VfI6tWrPTLijLZM9XEdnTMM6cMUQ4WjuSRzdNYrS4of16SOmZT6YIN0LKP4vqNFzw117RSjB11872ZfZkNtSqt6fMVjlCY/NlFRz95R6ThoD8JbOnXqpNTUVC1fvlz9+/fXZ599pieffFJdunQp6oySkZGhESNGaPv27Xr++efLLbMiI1HOZEtTP6l2+BW2dOlSj6w/+MIX5s93vv/e/SerAl+Pz1/4+nX01fhInLnZsGHDNGTIEMXGxio6OlqjR4/W/v37FRQUJEnq16+fvv32W73wwgv63//+p4cffrjcMsPDw+nZgypJPSktOyTFxXVW64bejgbuwt8Z8B8JCQlauHChnnvuOX388cdF3w927typG264QWfOnJFU+oizVatWKTs7Wz///LP++te/asSIEVq2bFmx0QvOlDdNX4FDmvhB5X+f6ti1a5dsVvee46+fSiezpKioKO3du9e9J6sif4gRQOW4uk1YkfagPV8eTZz16tVbQW6+u8B3XNfgOpZtU6Z5jYxf88D2/Aujsy51LMP5Psmi7u3q6sourr13E50pbVp04XnV4zPTg0P6tlM957OBAz4nPj5eU6ZM0c033yxJuummm5SYmFhsnec6depozZo1OnHihHr27KmbbrpJdeo4mbsUAJxw8+0JWK1WzZw5U2fPntUPP/ygevXqFfXMyc3NLTqubt26LAINAMBl5vHHH1dgYKAWL16s9u3ba/To0Ro0aJC6dOmivn37KiIiQjabTd26dSvx2m7duumqq67S3XffrU8++UQrV67UJ594sBskAKBCfL1NGBHZutg0jZI0/tVUj8cB+ILE2AtJs+qwWqQ+batfzqUiI6TYJiqaqrGqrBYproVImsEvPfXUUzp58qROnjyp//znP0pJSVF8fLwkc81n49f/xGFhYQoODlZISIg3wwXgpxhx5mHJyclFjaSNGzfqySeflM1mU/369TVr1iwvRwcAADypV69eWrZsmZ544gl9++23Wrp0qeLj4/X++++re/fuevfdd9W5c2eFhpY9T0e3bt1ktVoZoQQAfoA2IeC7uraUwoKlc7nlH+uM1SJd0UqKcFMePDFW2n2semU4DLMcwN/Z7XYlJycXJc6Sk5N17733ymq1Kjc3V08//bSCg4M9GtODs4tn3yMiW9MhBfBDJM48LDk5WRMmTJBkLqC8Zs0aL0cEAAC8KSkpSevWrSux/YMPzLkSS1vf7FIbNmyQw+FQdHS0y+MDALgWbULAdwXYpIEdpc+3Vb0Mw5AGdHBZSCV0ai5F1pbSs8wEWGVZLVLjOlK7JuUfC/i6Xbt2SZK6dOlS9JN6FYArkDjzsCVLlpR/EAAAuOxt2bJFUsn1zYYOHarBgwcrLi5OISEh2rZtm1544QV17dpVo0aN8miMLToNKNGj8mINW3Yucz8AXI5oEwK+bVAn6dApaduB0vcfzZBeWWL+LM3oK6UoN64fZ7NK9wyUXl4inc8rmTwrKz6rxRxRd/cA89+Av+vatavy8vK8HQaAGojEGQAAgA/aunWrpJIjznr37q3Zs2frl19+kSS1bt1af/jDH/TnP/9ZQUFBHo8TAACgJrFapN9fJVmt0nepJffb86X96cW3WSySDOm3vaS+bljb7FINa0v3D5H+s0I6e774umylxVcYY51Q6Y+DWNsMAIDykDgDAADwMQ6HQ99//71sNpu6detWbN8zzzyjZ555xjuBAQAAXAYCbNKtV0nRkdLKnea0iFZLydFdFouZtIqJlH7TRYr14PSHTetKE4dJS3+Stvwi5RWUPObXfJ4CbdKV0dLQrlLtEM/FCACAvyJxBgAA4GOsVqvOnj3r7TAAAAAuWxaL1C9WuqqdtOeYtG63OZLrvN0cjRYaJHVuYe5vUsc7MdYJNaeGHBEvbf1F2phiJvnO50khgVLDcKlPW6lnG/M5AACoGBJnAAAAAAAAQCmsFql9U/Phq2oFSYntzUfqSenVpdIfBkmt3bjWGgAANZnV2wEAAAAAAAAAAAAAvoDEGQAAAAAAAAAAACASZwAAAAAA1Cg2qxQW7JlzhQWb5wMAoKYKCpCCPbROYHCgeT4A3sV/QwAAABRjtUgv3eL5cwIAXMNmlZ6+USpweOZcJM4AADVZaJA0ZZRkz3f/uYICzPMB8C4SZwAAACjGYpFsJLIAwK+R0AIAwHVCg0hoAZcTvkYDAAAAAAAAAAAAInEGAAAAAAAAAAAASCJxBgAAAAAAAAAAAEgicQYAAAAAAAAAAABIInEGAAAAAAAAAAAASCJxBgAAAAAAAAAAAEgicQYAAAAAAAAAAABIInEGAAAAAAAAAAAASCJxBgAAAAAAAAAAAEiSArwdAAAAAHyLYUgOw7PntFoki8Wz5wQAAAAAALgUiTN4TYHDfLibzWo+AABAxTgMaeIHnj3nS7dINhJnAAAfQpu1+riGAAB/km2X7PnuP09QgBQa5P7zoOpInMErChzSUx9L53Ldf66wYOnpG/kSDQAAAACoGNqs1cc1BAD4k2y7NG2hlJvn/nMFB0pTRpE882V8pYBXFDg88+VZMs/jiR5uAAAAAICagTZr9XENAQD+xJ7vmaSZZJ7HEyPbUHUkzgAAAAAAAAAAAACROAMuCw5DOnhKSj1pPj94SjqT7d2YAAAAAKA8hiEdOS3tL2zLpEvpWd6NCQAAuI/DIe05JmXnmiOKt/4i7T1ubgc8hTXOgBrsXK60eZ+0Jlk6fe7C9o+2SB9vkTo2lxJjpfZNJavFe3ECAAAAwMXO50nf/iKt2S0dz7iw/aOt5qNtY7Mt07kF61oBAFATnD0vbdwrrd9TvMP/7G/Mn/XDpIR20pUxUniId2LE5YPEGVADGYb01c/mw9k874akXUekHYelBuHS7YlSy/oeDRMAAAAASli/W/r0O8leIDnr35eSZvY+rx0i3ZogxTbxaIgAAMBFDENauVNa/EPZ61WeOict2iZ98aN0fbyU1MFjIeIyRL8soIZxGNKHG6Uvfyx/cWSHYf48dU76x1dS8lH3xwcAKN3OnTs1btw4NWvWTCEhIYqNjdX06dNlGIYaNGggm82mrCzfmpvq0I5Veu33Fv3w1b9K3X/y4M967fcWbfxoqmcDAwD4JcOQPt8mzd9iJs0ks8Ofs2MlKeu89MYK6btUDwQIAABcyjCkT76VPvu+/PuYhQoc5ms+/e7C9wHA1UicATXM599Lm/aVvi8oQIpqYP68mGFI+QXS26ulQ6fcHyMAoLh58+YpPj5es2bNUrNmzTRy5EgFBwdr0qRJuu+++3Tq1Cm1b99e4eHh3g4VAAC3Wb1L+np76fuctmVkdgic/Y20+5jbQwQAAC709XZziZnSjEswH86s3Gk+AHcgcQbUIL+ckFaUUWE0rSM9PMz8eSlDUr5DmvUNvTUAwJM2bNigW2+9VeHh4Vq5cqW2bt2quXPn6scff9TEiRP1+uuvS5J69Ojh5Uj9m8Mh2fPNf+cVXBh17Uuyzku5v8ZY0d6WAFBTnDwrLfzO+f6y2jKS2YZ5bx2fnwAA+Iu0THN6RmcaRZiPsnz2vZTuWxOzoIYgceYB+fn5euyxx1S/fn21bNlSL7/8smJjY70dFmqgdbslq7NFACrAMMyFt3854bqY4Dlnc8wvHDPWmM+/+EE6yAhCwKcVFBRo/Pjxstvtmj9/vgYMGFC0z2Kx6Omnn1ZAgNm1vmfPniVen5WVpRYtWshisWjr1q2eCtvvbNknPfOplHnefJ6RIz37mfTjQe/GVSg3T/pgozTlE3NBbEk6nS39d5WUkV3mSwH4CdqE5Vu/x/l6ZhVhSMrKlX7ykc92X2IY0vZD0r++NusWSfrhwIUOJagZChzmd54PNpjPP9wofZtqdh4CapoFCxYoNjZWYWFh6t+/vyZPnqyBAwd6Oyy/sfuYOc3xkdPS0TPS3E1mEsvT1u9xTTnfuKicynjt98W/tWSeSNX/Hmrt+UCcMAzp+/3SK0sv/J0XfS9l5ng7sguyzptLDR07Y8b44pdmPeYrnVxJnHnApEmT9MMPP2jfvn3asGGDXn75ZXXu3NnbYfmVzBOpWvDXAcW2+dKHkS84e978QKzuh4vVIq3d7ZqY4DnHM6VnP5dW7jBvCEvSnmPSq0ulzU6m7gTgffPmzdOuXbs0YsSIUht6oaGhat68uaTSR5xNnTpV+fnev+uVl3tOOWdPlnjkZp/xdmj6Zo/0/gYzEXWxk1lmR4Pv93snrkL5BdKbK6VNKSVHSWw/LP1jmdmgAODfaBOWzZ4vbdjrfD2zirJYpDVeaMv4cnvVMMw1495dJ+09Lp3LNbevTTZvpp3P8258F/Pl6+jrChzm94l5m822oSQdyzCTZ2+vZiQmapbZs2frwQcf1IwZM5SVlaUJEybo73//u7p37+7t0PzC6l3Sf5ZLyccuTHe8eZ/0whee7UhvzzfbQK6wYa/ZroKpsO6ftV7af/LC33nVLmn6YnOUv7dlZEsvfGlO1VlgmDEeOmV2KJ293jeSZyTO3OzIkSN6++23NXPmTNWtW1ctWrRQQkKC4uLiio5ZsGCBWrZs6cUoURNs/cU1HyoOw+x9mJ1b/bLgOe+ulc7bzek2CxkyG0hzNzFiAfBVH330kSRp7NixTo/JycmR1WpVfHx8se0///yz3njjDT399NNujbEi1s/9f3rrj5ElHgueSfRqXLl55oLRzhgyF5X25s2k7/ZL+8pooKZnMW8/4O9oE5bvp0OuSeAYhrQvTTrhhV7zvmrHYbP3dt4lNxTzHeZ1+nybV8KCi63ZZd7wvvTvnFcg7Tlu3lQGaoLz58/r4Ycf1htvvKGEhARZLBaNGzdONputWHvp5MmTqlevnt59913vBeuD0jLN9o+h4su0FDjMz4sZaz03SvXHg67rvJFtl34+5JqyaoKdR8zP/UvvExc4zGv1wUbvxHWxBVvMmbMubYs7DGnbAe93cJWkgPIPQXUsX75cPXv2VGRkZNG29PT0okaSYRiaP3/+Zd1IgmucPGuOFnNV8uxMthQaXP2y4H6HT5tffpz96S2SNqZIQ7t4MioAFVE4vWJp0zBK0tGjR5WWlqZOnTopLCys2L57771X9913n09M9XXFkPsU3WNkie2ZJ1K1/J27vBCRaduBC2uGOZOZYzYsOrfwTEyX2liBG1kbU6TrupkjKQD4H9qE5Tt51vyMc9VayyezpMhy1kS5XKzcVTKZUijfYfb2H9VdCrB5Ni641qoy/s55BdKqnVI/739lBKpt7dq1ys3N1YgRI4q2ZWZmym63F0ucTZs2TYmJ3u3E54s27JVsVucdB7POmyPROjZzfywnXbwumavLq4j3H+9W9G9Hvt3zAThR1kxiDkNKSTO/ezWs7bmYLnY2x0x0Ovva5zDMDiE9WnsyqpJInLlZenp6sQZSWlqaNmzYoFdeeUWS9Mknn+jaa6/VW2+9VeEys7KytH37dpfH6kn5Douk3pV6zYkD24pN25CdcazCr92yZbMCrD4wxtONDh2LkWHUV+FA0qCAkgtnN6lT/OeljmZcmOf+2x926GAtHxi7i3IdyKovi9FGzj7S8x3Szynpqpvtum6GcXFxCg8Pd1l5wOUqLS1NkkokxQrNnj1bUsnE2qxZs7R3714tXry4SmubDRo0SAcOHHC632IN0LVTdlW4vHpN26tV56tLbD958OcKl9GhQwcZDtdOOxk74AHFDnyg3OMemvS0Uje959JzV9Tgh9eoVt2yW6bncqUOcV1VYHfN8OFWrVppxYoVLikLQPlc3SasCe3BS/1ysqVkNJGr2jI/79ijzGou9lvZNmt12quS+9qsh0/GSwpyuj+/wNDajdsUGuD6G360+z3DMKSMnCvLPCY9y6FNm7a47Jy0B+EtaWlpxepUyWwz1apVSx06dJAk7dixQ1lZWRWeunHMmDFKTk52eay+qPMNr6lBTH+n+/Ps5/XI5Nd05PsP3R5LdNLDatlrXNHzcQlSo0s6vRQ+f2R4ydenZUrvrb/w/PU3/6e/rP1ntWIKCm+kvn9YWuHjxz67rejfmSdSteBvAyp1vqFDh8qelVap11RE7zsXqVZd5z1DHQX5Gj3uAZ1O3eDyc1dE7SZx6v772WUes/fQGcXHu2bdwvbt2+vDDyv/niZx5maxsbGaPn26jh49KovFojvuuEN2u13t27eXYRiaPXu25s2bV6nE2fbt29WnTx83Ru1+tsAQ3TejcqsRRrbqpt9NXlX0vDJznSclJakgr2YvEDJo/Jvq1P922QLMRlHTOtLDw0o/9pa+pW9/ZYm0P93894Q7fq8Tqd+7IVK4WouOA3T9I58rMLj0j/SC/Dx99tEsPTL7YZedc+PGjbryyrIbZwDKFx4erpycHKWkpKhJkybF9h08eFDPPvuspOLrm2VkZOgvf/mLXnrppSrfsDhw4IBSUpxPKG+1ef4r4r59KXIUuDZxFtHuF1Wkc/XhA3vLvB7u1OdsermJs/y8XO3ZtV2GwQIlgD9ydZuwJrQHL9XnxqnqNfIJWW1m4qy6bZlH//KQUrd9Ua2YKttmrU57VXJfm3Xssz+oYauuTvcXFBRo6NX9lXfe9V31afd7zh//m6mgWs6HDmRnprv0c4P2ILylU6dOSk1N1fLly9W/f3999tlnevLJJ9WlSxfZbObQ2SeeeEKvvfaa/ve//3k5Wt9jzz4lR0G+0/aexWpVXs4Zj8TiyHft53VBXuXqm5osL/u0Quo0l8XJlCWe/DuXJi8nowLHnHF/IOUgceZmw4YN05AhQxQbG6vo6GiNHj1a+/fvV1BQkBYuXKihQ4cqIKByf4a4uDht3OgDk5FWQ77Dovn7PHe+1atX1/ieZz+mN9eO04FFw1yPZpiNx4s1qWM2ND/YYC4UfKmjF22bO/tthQb40ErRcMphSAtTg5TrZGqOwACbHrtrsKbf57rPjYvX5ABQdQkJCVq4cKGee+45ffzxxwoKMjs/7Ny5UzfccIPOnDkjqfiIs8mTJ6tdu3ZlrotWnlatWpW532L1/FfE6OgYl484sx/fKsNRIFmsThsNBXk50umfFRMT49JzV9TJ3V+pYcuy59I9tmOJoqPbuOyc5f39AbiWq9uENaE9eKk9GY209cSFuQKr25b596vPq0HIU9WKqaa0Wfdk1Nb3JwtUYJQ2F6OhFrXPau2qr11+XqnmXEN/sPXEOaVkhMnx66jNi1nlUPdWeS793KA9CG+Jj4/XlClTdPPNN0uSbrrpJiUmJqpZM7Mj2pIlSxQbG1up77tVGYnir/Yel/79tfMp8oKDgrTovecUHPic22NZmyx9dNHkKRePHitUONLsxS/LL+//TbxXfdveW62YzmRLUz+pVhGVsnTpUtUNdX25G/aaa4g5m5KzYW2r1nw5x6tLAbzwhbn0TGlsVmnM4NZ6637vDuggceZmVqtVM2fO1MyZMyVJr7/+etEXjO3bt2vlypX65JNPtH37dj322GN67rnyP5jCw8P9vmePPV8e/QLdq1dvBdXwd3tUhrT98wvP7fkXelxe6liG830Wi9S6oTQwoWJD2uEbwptL764rWSkG2qTuUVYN68sCZ4Avevzxx7V48WItXrxY7du3V69evXTy5EmtWbNGt956q44ePapz586pW7dukszvDm+88YaWLVtWlFTLysoq+nn27FnVrl3+ROXlTdNX4JAmflCtX63Sdu3aJVvJez3VNm+T9E0ZM9UO7VZL//z5O9efuIKyzkvTvzDXWitNoE36x2Mj1Wx6yTXkAPgHV7cJa0J78FKdcqTvPrmwXnNV2zKS1CBcGta/s6zVvBlUU9qs8fnSkaXmlFb5F7UVLJKCAiy6bXA9NY5wz/upplxDf9Apx/w+cS63+LrnNqtUO8SqsYObKTzEA4sWAR7w1FNP6amnLnSO6Ny5s6699lpJ0rfffqtNmzZp2LBh2rt3r2rVqqU2bdooKSnJW+H6lJhG5trOO46UvH9kkTSyuxQc6JlYuraSPvm2+GdWVdmsUhcvrVnti3q0ltbtNr8zlfg7W6Tf9fL++tm/7Sn96+uSf3+bVaofJl3VzjtxXcwNtydQluTk5KJG0hNPPKGvv/5aS5YsUVxcXIWSZperiMjWxaZrkKTxr6Z6JRZf1aSOFN2o+h98hiElsmiw3+nSUrpnoNSinvncYpHCQ6RrrpBurlkz+QA1Sq9evbRs2TIlJCTo2LFjWrp0qRwOh95//309/vjjyszMVMeOHRUaanZD27Nnj/Lz8zVw4EDVq1dP9erVK1oYe+DAgSyAXYobe0q9o0tut0hKbC9d43z2Ko8ID5H+NFhqWMqsm6FB0l0DpGb1PB4WADeiTVhS7VrSFa1U7WSXZH62u6KcyvDl9mpQgPTgb6S+bc3OGBaL+ejUXPrzcKlxRPlleIovX0dfV7uWOTKjW5T5/rdazJuP8VHSxOHm9w2gJrLb7UpOTlZ8fLwks15dtWqVlixZot///veaOHEiSbOLWCzS7YnSoI7Sxat91A+Tfn+V1M+D9wPr1JK6tnRNWfGtPP859+Ds4hmfiMjWPlNnBQVI9w8x28EXd05tXk/64yCpow/0o4huZMYY1eDCNpvF/Fs+NFQK8VACtyyXaV8c70lOTtaECRNKbF+3bp0XokFN0z9W2lfNNSXDgl1XccGzYptIj1xj9jLML5Bqh0hWukcAPi8pKanU7wEffGAO+bp4fbN+/fpp5cqVxY7btm2bHn74Yb3xxhvFjoUpwCb9X19pcCfp21RzhFdELalXtDkqwRc0qSM9NkLacVjafVwyHFLLBubNrsu15zxQk9EmLF1irPT9/uqVEWCVertuZtsaIzhQ+m0vcyRBVq55M8oXbkjBteqESuMSpDFXStl2swMO3yNQ0+3atUuS1KVLyVl2pk6d6uFo/IPNKl3bTfpNF+nkWfN5ZG3vjEDqFyttO1D9chIYAFBCSKB085Vm3X8qy/wu4Cvt30JtIs01bU+fM+utemFm3eUrqEI9bMmSJeUfBFRRl5bmsOt9J8yRY1VxQw/zJiP8V1iwtyMA4ApbtmyRVHx9s4YNG2rAgAGlHt+jR49ix3pCi04DSvS0u1jDlp3L3O9JjeuYo3B9lc1q1uNd6LwC1Hi0CUvXJlLq1qp6N9CuuUIK5buwUwE2uWUtFfiWoAASZrh8dO3aVXl5ed4Owy8F2qSmdb0bQ+HUkT8fKn1/Wmb5ZVzR0lxyBqULCfT9GUzqhZkPX8NYBKAGsVmlCUnmdBuldRQpXGT74oWzL3btFVJPemgCgE/YutVcKZlRZACAy4HFIo29SoqOLH1/eW2ZxPbSwI7uiw8AALiWxSLdmlB8ur6LvbfefDjTpqH53cHb63WhZiJxBtQwoUHSA78xe21Ixef3L1xk255/YZvl18dNvaUhnT0ZKQDAGYfDoe+//142m03dunUr89gBAwbIMAyPjzYDAMDVAm3SHwebvcelCrRlft0/vKt0Yw9unAEA4G+CA8w1nztVct2tzi3M7wyMsIW78NYCaqDQILPS2XVUWrtb2nnE3H5xw9NhSLUCpb7tpKvaSg1reydWAEBJVqtVZ8+e9XYYAAB4XKBNuj1R2psmrdst/XjQnIb+0rZMkE3qHSMltPP+VFMAAKDqggOlO5Oknw+bdf/uY86P7dDUXButUzPJypAguBGJM6CGslqlTs3NR3qW2eDMOi/lFUi1gqRGtaWurcyGKQAAAAD4CotFatfYfGRkm+ueZeZI9gKz81+DcOmKVua6HQAAwP9ZrVLXluYjLVPa+ot0JlvKzTfr+7qh5vIykXT8h4eQOAMuAw3Cme8fAAAAgP+pEyoldfB2FAAAwFMaRUjXXOHtKHC5Y0AjAAAAAAAAAAAAIBJnAAAAAAAAAAAAgCQSZ/ASm1UKC/bMucKCzfMBAAAAAFARtFmrj2sIAPAnQQFSsIfWTw0ONM8H32UxDMPwdhC4PBU4zIe72ax8gQYAoDIMQ3J4+Bui1SJZLJ49JwAAZaHNWn1cQwCAP8m2S/Z8958nKEAKDXL/eVB1JM4AAAAAAAAAAAAAMVUjAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAAAAAAAAAAAgicQZAAAAAAAAAAAAIInEGQAAAAAAAAAAACCJxBkAAIBfSk1NlcVi0bvvvuvtUPzCgAEDZLFYZLFYdN1113k7HPzq1VdfLfq7WCwWnTx50tshAfAT1IOVQz3om6gHAVQV9WDlUA/6Jl+uB0mcAQAAn5eSkqJ77rlH0dHRCgkJUUREhBISEvTaa68pJyfH2+FV2o4dOzR16lSlpqZ6O5Qi69at0/Dhw9W8eXOFhISoVatWGjFihObMmVPsuIu/1FosFkVERCgpKUmLFy8uOuaBBx6QxWLR3r17nZ7viSeekMVi0Y8//ui23+lSHTp00KxZs/TII48UbUtPT9cLL7yg/v37KzIyUnXr1lWfPn00d+7cap1r8+bN+tOf/qQePXooMDBQFouluuFr+fLlGj9+vGJjYxUaGqro6GjdeeedOnr0aLXK/dvf/qbrr79ejRs3lsVi0dSpU6tVXmWu6bBhwzRr1izdcMMN1TonUNNRD7of9SD1IPUg4LuoB92PepB6kHrwEgYAAIAP+/zzz41atWoZdevWNR544AHjrbfeMv71r38ZY8aMMQIDA4277rrL2yFW2vz58w1JxsqVK6tchsPhMHJycoz8/PxqxzNv3jzDYrEY8fHxxvPPP2+89dZbxmOPPWYkJCQYAwYMKHasJGPIkCHGrFmzjPfee8945plnjGbNmhkWi8VYsmSJYRiGsXHjRkOSMW3aNKfnbNOmjdGlS5dqx15RSUlJRlJSUontixYtMgIDA42RI0car776qvGvf/3LGDhwoCHJeOqpp6p8vilTphiBgYFGjx49jNjYWMMVX7t79OhhtGnTxnj00UeN//73v8Zjjz1m1K5d22jcuLFx9OjRKpcryWjSpIkxdOhQQ5IxZcqUasVZlWs6ZcoUQ5Jx4sSJap0bqImoB0tHPVg51IPOUQ8Cvo16sHTUg5VDPegc9WDpSJwBAACftW/fPiM8PNzo0KGDceTIkRL79+zZY7z66qvVPo/D4TCys7NL3ZeTk2MUFBRU+xwXc0VDyZU6depkxMXFGbm5uSX2HT9+vNhzSca9995bbNuOHTsMScbw4cOLtrVt29bo0KFDqef75ptvDEnG3//+dxdEXzHOGkr79u0zUlNTi21zOBzGoEGDjODgYCMrK6tK5zt27FjRe+ree+91SUNp9erVJd6Lq1evNiQZTzzxRJXL/eWXXwzDMIwTJ064pKFUlWvqiw0lwBdQD3oG9SD1oGFQDwK+iHrQM6gHqQcNg3rwUkzVCAAAfNb06dOVlZWld955R02bNi2xv23btnrwwQeLnufn5+uZZ55RTEyMgoOD1bp1az3++OPKzc0t9rrWrVvruuuu09KlS9WzZ0/VqlVLb775platWiWLxaIPP/xQkydPVvPmzRUaGqrMzExJ0qZNmzRs2DDVqVNHoaGhSkpK0vr160vEdfjwYU2YMEHNmjVTcHCw2rRpoz/+8Y+y2+169913ddNNN0mSBg4cWDTFxapVqyp1bUqb0/7YsWO644471KJFCwUHB6tp06YaOXJkuVOApKSkqFevXgoKCiqxr1GjRuXG0rFjRzVs2FApKSlF28aOHatdu3bpu+++K3H8nDlzZLFYdMstt5Rbtru1adNGUVFRxbZZLBaNGjVKubm52rdvX5XKbdy4sWrVquWKEIv0799fVqu1xLb69etr586dVS63devW1YysOHddU+ByRD3oHPWga1APUg8Cvox60DnqQdegHqQedCbA2wEAAAA4s2jRIkVHR+uqq66q0PF33nmnZs6cqd/97neaOHGiNm3apOeee047d+7UJ598UuzY5ORk3XLLLbrnnnt01113qX379kX7nnnmGQUFBemRRx5Rbm6ugoKCtGLFCg0fPlw9evTQlClTZLVaNWPGDA0aNEhr165V7969JUlHjhxR7969debMGd19993q0KGDDh8+rAULFig7O1v9+/fXAw88oH/84x96/PHH1bFjR0kq+lkdv/3tb7V9+3bdf//9at26tdLS0rRs2TIdOHCgzC/DUVFRWr58uQ4dOqQWLVpU+rwZGRk6ffq0YmJiiraNHTtW06ZN05w5c9S9e/ei7QUFBZo3b54SExPVqlWrMsvNzs5WdnZ2uee32WyqV69epeMuy7FjxyRJDRs2dGm5rpaVlaWsrCyfj1Pyn2sK+BLqwcqhHnQdf/nMph4EajbqwcqhHnQdf/nMph50I28PeQMAAChNRkaGIckYOXJkhY7ftm2bIcm48847i21/5JFHDEnGihUrirZFRUUZkormYC+0cuVKQ5IRHR1dbKoOh8NhtGvXzhg6dKjhcDiKtmdnZxtt2rQxhgwZUrRt3LhxhtVqNbZs2VIixsLXumJqjl9++cWQZMyYMcMwDMM4ffq0Icl44YUXKl3WO++8Y0gygoKCjIEDBxpPPvmksXbt2lKnJJFkTJgwwThx4oSRlpZmbN261Rg2bFip5+7Vq5fRokWLYuUsWbLEkGS8+eab5cZVOF1DeY+oqKhyy3I2NUdp0tPTjUaNGhmJiYkVOr48rpqaozTPPPOMIclYvnx5tcty1dQcpSnvmvri1ByAt1EPlo16kHrQMKgHgZqMerBs1IPUg4ZBPehOjDgDAAA+qXA6jNq1a1fo+C+++EKS9Oc//7nY9okTJ+rFF1/U4sWLNXDgwKLtbdq00dChQ0st67bbbis2rcK2bdu0Z88eTZ48Wenp6cWOHTx4sGbNmiWHwyFJWrhwoUaMGKGePXuWKNdisVTod6mKWrVqKSgoSKtWrdKECRMq1eNu/Pjxat68uV5++WWtXLlSK1eu1DPPPKPo6GjNmjWrRA/Pd955R++8807R88DAQD366KMlrv3vf/97Pfjgg1qzZo0GDBggyZyWIygoqGh6krKMGzdO/fr1K/c4V06B4XA4NHbsWJ05c0b//Oc/XVauO6xZs0bTpk3T6NGjNWjQIG+H45Q/XVPAl1APVg71oGv402c29SBQs1EPVg71oGv402c29aB7kTgDAAA+KSIiQpJ09uzZCh2/f/9+Wa1WtW3bttj2Jk2aqG7dutq/f3+x7W3atHFa1qX79uzZI8lsQDmTkZEhu92uzMxMde7cuUIxu1JwcLCef/55TZw4UY0bN1afPn103XXXady4cWrSpEm5rx86dKiGDh2q7Oxsffvtt5o7d67eeOMNXXfdddq1a1exue1Hjhyp++67T3a7XVu2bNGzzz6r7OzsEvOtjxkzRn/+8581Z84cDRgwQOfPn9cnn3yi4cOHV6ghFx0drejo6MpfjGq4//77tWTJEr333nu64oorPHruyti1a5duuOEGde7cWW+//ba3wymTv1xTwNdQD1YO9aBr+MtnNvUgUPNRD1YO9aBr+MtnNvWg+5E4AwAAPikiIkLNmjXTzz//XKnXVbQXX1m90i7dV9h78IUXXlC3bt1KfU14eLhOnTpVsSDd5KGHHtKIESO0cOFCLV26VE8++aSee+45rVixQvHx8RUqIzQ0VImJiUpMTFTDhg01bdo0ffnll8UaiS1atNDVV18tSbrmmmvUsGFD3XfffRo4cKBuvPHGouMaNWqkIUOG6KOPPtK///1vLVq0SGfPntXYsWMrFEvhfO3lsdlsioyMrFCZZZk2bZpef/11/f3vf9ett95a7fLc5eDBg/rNb36jOnXq6IsvvqhwL1xv8JdrCvgi6sHKox6sHn/5zKYeBC4P1IOVRz1YPf7ymU096BnW8g8BAADwjuuuu04pKSnasGFDucdGRUXJ4XAU9QYsdPz4cZ05c0ZRUVFVjqNwkeOIiAhdffXVpT4CAwMVGRmpiIiIcht37pyiIyYmRhMnTtRXX32ln3/+WXa7XS+99FKVyiqcXuTo0aNlHnfPPfcoJiZGkydPlmEYxfaNHTtWp06d0pdffqk5c+YoIiJCI0aMqND5X3zxRTVt2rTcR69evar0+13s3//+t6ZOnaqHHnpIkyZNqnZ57pKenq7f/OY3ys3N1dKlS9W0aVNvh+SUv1xTwJdRD1YtVurByvOXz2zqQeDyQj1YtVipByvPXz6zqQc9h8QZAADwWY8++qjCwsJ055136vjx4yX2p6Sk6LXXXpNk9nSTpFdffbXYMS+//LIk6dprr61yHD169FBMTIxefPHFUnu8nThxQpJktVo1atQoLVq0SFu3bi1xXGEjIiwsTJJ05syZKsd0qezsbJ0/f77YtpiYGNWuXVu5ubllvnb58uWlbi9cJ6B9+/Zlvj4gIEATJ07Uzp079emnnxbbN2rUKIWGhur111/Xl19+qRtvvFEhISHl/TqSzDntly1bVu7j/fffr1B5zsydO1cPPPCAxo4dW/R+8UXnzp3TNddco8OHD+uLL75Qu3btvB2SU/5yTQFfRz1YcdSDVecvn9nUg8Dlh3qw4qgHq85fPrOpBz2LqRoBAIDPiomJ0Zw5c3TzzTerY8eOGjdunDp37iy73a5vvvlG8+fP1+233y5JuuKKK3Tbbbfprbfe0pkzZ5SUlKTNmzdr5syZGjVqVLGFoCvLarXq7bff1vDhwxUXF6c77rhDzZs31+HDh7Vy5UpFRERo0aJFkqRnn31WX331lZKSknT33XerY8eOOnr0qObPn69169apbt266tatm2w2m55//nllZGQoODhYgwYNUqNGjfTuu+/qjjvu0IwZM4p+t4rYvXu3Bg8erNGjR6tTp04KCAjQJ598ouPHj2vMmDFlvnbkyJFq06aNRowYoZiYGJ07d05ff/21Fi1apF69elWoR+Dtt9+up556Ss8//7xGjRpVtD08PFyjRo3SnDlzJKnC03L8//buMzyqav37+Hdm0kgChN4JvRtAimKQakEUxYqKIAel2PB/REVRHxU8KHbsHj0HUBBpiggKolIEQYFDQCC0AKElQICE9GQy+3mxTSCkJ9OS/D7XNRfMLmvfmZlkz9r3XvcC99S0//PPPxk5ciS1atVi4MCBeTpdV111Va4YLBYLffv2Zc2aNYW2Gx0dzZdffgmQ02l+5ZVXAPNu2IvLVPTr14+1a9fmuTvzUsOHD+fPP/9k9OjRREZGEhkZmbMu+3XO9tJLL/Hyyy+zevXqnIm4C/Lll18SHR1NSkoKYE4ynR3riBEjcu7OXbNmDf379+fFF1/kpZdeKrC9kr6mIlIwnQdHFTtGnQdLR+dBnQdFvJnOg6OKHaPOg6Wj86DOgwUyRERERLzcvn37jDFjxhjNmjUz/Pz8jKpVqxrh4eHG+++/b6SlpeVsl5mZabz88stG8+bNDV9fX6NJkybGs88+m2sbwzCM0NBQ48Ybb8xznNWrVxuAsXDhwnzj2LZtm3HbbbcZtWrVMvz9/Y3Q0FDjrrvuMn755Zdc20VHRxsjR4406tSpY/j7+xstWrQwHnnkESM9PT1nm88++8xo0aKFYbPZDMBYvXq1YRiG8f777xuAsWLFikJfk0OHDhmAMXPmTMMwDCMuLs545JFHjHbt2hlBQUFG9erVjSuuuMJYsGBBoe0YhmHMmzfPuPvuu42WLVsaVapUMQICAowOHToYzz33nHH+/Plc2wLGI488km87L730Uq6fJdvy5csNwGjQoIGRlZVVZDyu0LdvX6Nv3755ls+cOdMACnxkv76GYRiJiYkGYNx9991FHi/7s5Tf49I4unXrZtSvX7/INkNDQwtsMzQ0NNe2EydONCwWixEZGVlku3379i2w3Yvfy++//94AjE8++aTQ9krymmZ78cUXDcA4ffp0kfGKVEY6D+al82DJ6DxYMJ0HRbyfzoN56TxYMjoPFkznwfxZDKOIVKZIJZGdidevRNEOHz5M8+bNc54vXLiQO+64w4MRSbYuXbqwfft2wCxDsGzZMg9HJCIlddddd3H48GH+/PNPT4dSofTr14/MzEy+++47/Pz8qFatWonb+OGHH7jpppvYvn07l112mVPiSkxMpGbNmrz77rs88sgjTmkToGfPnoSGhrJw4UKntfn0008zb948Dhw4gL+/v1PaTEtLIykpiddff5033niD06dPU7t2bae0LSLlk86DrqHzYNnpPCgi7qDzoGvoPFh2le08qDnOXGDWrFlYLBYCAgI4fvx4nvX9+vWjU6dOeZZnZmby3nvv0aNHD6pWrUpwcDA9evTgvffeIzMzM2e7l156CYvFUuSjqGGYFclXX32Vp4axJ2VkZDBjxgy6du1KtWrVCAkJoWPHjowdO5Y9e/bkbJf9Wcl++Pj40KhRI0aNGpXz2cnMzKR27dr07t27wOMZhkGTJk24/PLLXf6zXWzs2LF8+eWX9OzZM2fZ5s2befTRR+nYsSNBQUE0bdqUu+66i3379pXpWB9//DF33nknTZs2xWKxlGi4en5SUlL48MMPue6662jQoAFVq1ala9eufPzxx2RlZZW63b179/LPf/6Tq666ioCAACwWC4cPHy5TrElJSbz44osMGjSImjVrYrFYmDVrVr7bTps2jS+//NJrTjIiUjKGYbBmzZqcsgjiXL///jt16tTh3nvvLdX+q1ev5u6773ZaJwnMMhiNGjVizJgxTmvz/PnzbN++nSlTpjitTTB//hdeeMFpnSSATz75hDp16vDGG284rU0RKb90HnQtnQfLRudBEXE1nQddS+fBsqls50GNOHOB7Fq0AI8++ijvv/9+rvX9+vUjLi6OnTt35ixLTk7mxhtvZO3atdx0000MGjQIq9XKihUrWLp0KX379mX58uUEBQWxY8cOduzYkbNvUlISDz30ELfeeiu33XZbzvJ69epx7bXXuvin9Q433XQTO3fuLFOCwm63Y7fbiz1BZWGGDBnCjz/+yD333EOvXr3IzMxkz549LFu2jKlTp+YkfbI/K1OmTKF58+akpaWxadMmZs2aRbNmzdi5cycBAQE89NBDfPrppxw6dCinruzF1q5dS79+/Xjrrbd44oknyhx/UbJHnOVXb/mOO+5gw4YN3HnnnYSFhREbG8sHH3xAUlISmzZtyjdpXBzNmjUjMTGRnj178vPPPzN8+PACk0fFsXPnTsLCwhg4cCDXXXcd1apVY+XKlXz77beMHDmS2bNnl6rdWbNm8cADD+TUk46IiODQoUM0a9as1LFmv95NmzalRYsWrFmzpsha182aNaNTp04acSYi8retW7dy7tw5AOrUqUPnzp09HJEAHD16lL179+Y879u3L76+vh6MSESkYtJ50DvpPCgi4h46D3onbz4P+ng6gIqsS5cufPbZZzz77LM0bNiw0G2feOIJ1q5dy/vvv8+jjz6as/yhhx7iww8/5NFHH+XJJ5/k448/JiwsjLCwsJxt4uLieOihhwgLC+O+++5z2c9TEmlpafj5+WG15h3UmJycTFBQkAeiKpyPjw8+PmX/ldi8eTPLli3jX//6F5MnT8617oMPPiA+Pj7PPjfccAPdu3cH4MEHH6R27dpMnz6dpUuXctdddzF8+HA++eQT5s2bxzPPPJNn/6+++gqr1VrkZJ/u8MQTT/DVV1/h5+eXs2zYsGFcdtllvPbaa8yZM6dU7a5duzZntFlwcHCZ46xfvz5//fUXHTt2zFk2btw4Ro8ezcyZM3nhhRdo1apVidu9+eabiY+Pp2rVqrz55ptERESUOdYGDRoQExND/fr12bJlCz169ChzmyIilU23bt08HYLko0mTJjRp0sTTYYiIVHg6D3onnQdFRNxD50Hv5M3nQZVqdKHJkyeTlZXFa6+9Vuh2x44d4z//+Q8DBgzIlTTL9sgjj9C/f38+//xzjh075rT4jh8/zgMPPEDDhg3x9/enefPmPPTQQ2RkZORsc/DgQe68805q1qxJYGAgV155JcuXL8/Vzpo1a7BYLHz99dc8//zzNGrUiMDAQM6fP8+oUaMIDg4mKiqKwYMHU7VqVYYPHw6Aw+Hg3XffpWPHjgQEBFCvXj3GjRuXk/2/2I8//kjfvn2pWrUq1apVo0ePHnz11VeAOYJv+fLlREdH55Q8LM3onuwSmBdbtWoVvXv3JiQkhODgYNq2bZsnGXapqKgoAMLDw/Oss9ls1KpVq8hYrr766jxtNWvWLOdnvlhmZiaLFi2if//+RSZo3eGqq67KlTQDaN26NR07diQyMrLU7YaGhuZ5f8qidu3auZJm2W699VaAUsdas2ZNqlatWqbYLuXv70/9+vWd2qaIiIiIiIiIiIiI5KURZy7UvHlzRo4cyWeffcYzzzxTYFLjxx9/JCsri5EjRxbY1siRI1m9ejUrVqzgwQcfLHNsJ06coGfPnsTHxzN27FjatWvH8ePHWbRoESkpKfj5+XHy5EmuuuoqUlJSmDBhArVq1WL27NncfPPNLFq0KCfBkG3q1Kn4+fnx5JNPkp6enpM8sdvtXH/99fTu3Zs333yTwMBAwBzdk12qcMKECRw6dIgPPviAbdu2sWHDhpxhmbNmzWL06NF07NiRZ599lpCQELZt28aKFSu49957ee6550hISODYsWO88847AE4ZkbRr1y5uuukmwsLCmDJlCv7+/hw4cIANGzYUul92KcW5c+cSHh5eqlFs2SUna9SoAYDFYuHee+9l2rRp7Nq1K1fCZ8WKFZw9ezYnIVmYc+fOFWv+rsDAwJz3yRkMw+DkyZP5Jqq8TWxsLIDmCBMRERERERERERGphJQ4c7HnnnuOL774gunTpzNjxox8t9m9ezdAobVVs9eVZcTOxZ599lliY2P5448/ckoEAkyZMoXsae9ee+01Tp48yW+//Ubv3r0BGDNmDGFhYTzxxBPccsstuUoxpqWlsWXLFqpUqZLrWOnp6dx55528+uqrOcvWr1/P559/zty5c3NNyNi/f38GDRrEwoULuffee0lISGDChAn07NmTNWvW5Jp/LDvOa6+9lkaNGnHu3DmnlqpctWoVGRkZ/PjjjyVKolx55ZX07duXzz77jKVLlzJgwAB69+7NTTfdRNOmTfPdJyEhgbi4ONLS0vjjjz94+eWX8ff356abbsrZZvjw4UybNo25c+cybdq0nOVfffUVAQEB3H777UXG1rVrV6Kjo4vc7sUXX+Sll14q+octprlz53L8+HGnT0rpbBkZGbz77rs0b95c5RBFREREREREREREKiElzlysRYsWjBgxgn//+98888wzNGjQIM82iYmJAIWWd8ted/78+TLH5HA4WLJkCUOGDMmVNMuWXQ7vhx9+oGfPnjlJMzBHco0dO5Znn32W3bt306lTp5x1999/f56kWbaHHnoo1/OFCxdSvXp1rr32WuLi4nKWd+vWjeDgYFavXs29997LqlWrSExM5JlnnsmVNLs4TlcJCQkB4LvvvuMf//hHvvO15cdisbBy5UrefPNN5syZw7x585g3bx6PPPIId911F59++mlO29muueaaXM+bNWvGnDlzaNy4cc6yDh060LVrV77++uucxFlycjJLly7lpptuolq1akXGNnfuXFJTU4vcrkWLFsX4SYtnz549PPLII/Tq1Yv777/fae26wqOPPsru3btZvny5U+a7ExEREREREREREZHyRVeG3eD555/nyy+/5LXXXst31Fl2Uiw7gZaf4iTXiuv06dOcP38+V9IrP9HR0VxxxRV5lrdv3z5n/cVtNG/ePN92fHx8ciWAAPbv309CQgJ169bNd59Tp04BF+b4KipWVxg2bBiff/45Dz74IM888wwDBw7ktttu44477igyiebv789zzz3Hc889R0xMDGvXrmXGjBksWLAAX19f5syZk2v7Dz/8kDZt2pCQkMB///tf1q1bh7+/f552hw8fzpNPPsnvv//OVVddxZIlS0hJSSlWmUbIf941V4qNjeXGG2+kevXqLFq0CJvN5tbjl8Qbb7zBZ599xtSpUxk8eLCnwxERERERERERERERD1DizA1atGjBfffdlzPq7FLZiagdO3bQpUuXfNvYsWMHYI468lYFjTbz9/fPk2hyOBzUrVuXuXPn5rtPnTp1nB5fSVWpUoV169axevVqli9fzooVK5g/fz4DBgzgp59+KnYSqEGDBtx9993cfvvtdOzYkQULFjBr1qxcI5p69uyZM/pv6NCh9O7dm3vvvZe9e/fmmq/tnnvu4emnn+arr77iqquu4quvvqJGjRrFTvScPn26WHOcBQcHl3meuISEBG644Qbi4+P57bffCpzjzxvMmjWLSZMmMX78eJ5//nlPhyMiIiIiIiIiIiIiHlK82nNSZs8//zx2u53p06fnWXfDDTdgs9n48ssvC9z/iy++wMfHh0GDBpU5ljp16lCtWjV27txZ6HahoaHs3bs3z/I9e/bkrC+tli1bcubMGcLDw7nmmmvyPLLndGvZsiVAkbG6qmyj1Wpl4MCBvP322+zevZt//etf/Prrr6xevbrEbfn6+hIWFkZmZmau8pSXstlsvPrqq5w4cYIPPvgg17qGDRvSv39/Fi5cyMmTJ1m1ahV33HEHfn5+xYqhR48eNGjQoMjHm2++WeKf72JpaWkMGTKEffv2sWzZMq9O+H733Xc8+OCD3HbbbXz44YeeDkdEREREREREREREPEiJMzdp2bIl9913H59++imxsbG51jVp0oR//OMf/Pzzz3z88cd59v3kk0/49ddfeeCBB/KUPCwNq9XK0KFD+f7779myZUue9YZhADB48GD+/PNPNm7cmLMuOTmZf//73zRr1qxMyZC77rqLrKwspk6dmmed3W4nPj4egOuuu46qVavy6quvkpaWlm+cAEFBQSQkJJQ6nvycPXs2z7LsEYHp6ekF7rd//36OHDmSZ3l8fDwbN26kRo0aRY6o69evHz179uTdd9/N83MPHz6cU6dOMW7cODIzM4tdphHMOc5WrVpV5GPkyJHFbvNSWVlZDBs2jI0bN7Jw4UJ69epV6rZcbd26ddx999306dOHuXPnFnseOxERERERERERERGpmFSq0Y2ee+45vvzyS/bu3UvHjh1zrXvnnXfYs2cPDz/8MCtWrMgZWbZy5Uq+++47+vbty1tvveW0WKZNm8ZPP/1E3759GTt2LO3btycmJoaFCxeyfv16QkJCeOaZZ5g3bx433HADEyZMoGbNmsyePZtDhw6xePHiMiUZ+vbty7hx43j11VeJiIjguuuuw9fXl/3797Nw4UJmzJjBHXfcQbVq1XjnnXd48MEH6dGjB/feey81atRg+/btpKSkMHv2bAC6devG/PnzeeKJJ+jRowfBwcEMGTIEMJNQa9euzZVoK44pU6awbt06brzxRkJDQzl16hQfffQRjRs3pnfv3gXut337du69915uuOEGrr76amrWrMnx48eZPXs2J06c4N133y1WmcennnqKO++8k1mzZjF+/Pic5bfffjsPP/ww3333HU2aNKFPnz7F/pncMcfZxIkTWbp0KUOGDOHs2bN55nO77777cv4/a9Ys/vGPfzBz5kxGjRpVaLvff/8927dvByAzM5MdO3bwyiuvAHDzzTcTFhYGwOHDh2nevDn3338/s2bNKrC96Ohobr75ZiwWC3fccQcLFy7MtT4sLCynTYBmzZrltF+YhIQE3n//fQA2bNgAwAcffEBISAghISE8+uijOduOGjUq53cqu/2CfPDBB8THx3PixImc1+PYsWMAPPbYY1SvXr3Q/UVERERERERERESkaEqcuVGrVq247777cpI9FwsODuaXX37ho48+Ys6cOTz11FMYhkG7du149913efjhh/H19XVaLI0aNeKPP/7ghRdeYO7cuZw/f55GjRpxww03EBgYCEC9evX4/fffmTRpEu+//z5paWmEhYXx/fffc+ONN5Y5hk8++YRu3brx6aefMnnyZHx8fGjWrBn33XdfrgTPAw88QN26dXnttdeYOnUqvr6+tGvXjn/+85852zz88MNEREQwc+ZM3nnnHUJDQ3MSZ0lJSdSvX7/E8d18880cPnyY//73v8TFxVG7dm369u3Lyy+/XGiSok+fPkydOpUff/yRt99+m9OnT1O1alW6du3K9OnTuf3224t1/Ntuu42WLVvy5ptvMmbMmJxkW7Vq1RgyZAgLFy7knnvucVmZytKKiIgAzMTO999/n2f9xYmzpKQkwJwHriiLFy/O9buzbds2tm3bBkDjxo1zklzFbfPQoUM5oxQfeeSRPOtffPHFXImz5ORkWrVqVWSc586d44UXXsi1LDvpHRoamitxlpSURJUqVQgJCSmy3TfffJPo6Oic59988w3ffPMNYL6mSpyJiIiIiIiIiIiIlJ3FKOkwHJFyJDExkZo1a/Luu+/mmxyR0ske1fX+++9z9913U61atWLPs3axu+66i8OHD/Pnn386LbaPPvqIp59+mqioKOrVq+eUNnfv3k3Hjh1ZtmyZU5LG2erVq8fIkSN54403nNZmfHw8drudyy+/nLCwMJYtW+a0tkVEREREREREREQqOk3oIxXaunXraNSoEWPGjPF0KBXSY489Rp06dVi6dGmJ9zUMgzVr1uSUW3SW1atXM2HCBKclzbLb7NWrl1OTZrt27SI1NZVJkyY5rU0wS5PWqVOHo0ePOrVdERERERERERERkcpAI85EpMTS0tJYv359zvOwsDDq1q3rwYgk2x9//EFiYiIAderUoXPnzh6OSERERERERERERKT8UOJMREREREREREREREREBJVqFBEREREREREREREREQGUOBMREREREREREREREREBlDgTERERERERERERERERAZQ4ExEREREREREREREREQGUOBMREREREREREREREREBlDgTERERERERERERERERAZQ4ExEREREREREREREREQHAx9MBiIiIiIiIiIiIiIiI5xkGOAz3HtNqAYvFvccUKYwSZyIiIiIiIiIilziTBMnprj9OkD/UCnb9cURERIrDYcDEee495lv3gE2JM/EiSpyJiIiIiIiIiFzkTBK8+j3YHa4/lo8Vnh2i5JmIiIiIt9AcZyIiIiIiIiIiF0lOd0/SDMzjuGNkm4iIiIgUj0aciYiIiIh42JkkOHIGUtLN0iiB/tCgOjSs4enIRES8h2Fo/hMRERERcT0lzkREREREPMBhwJ4TsGE/7D4O+c2/3bwO9G4NnZuCj83tIYqIeNSZJPh9P2yLhsQ0yMwCfx+oEQRXtIQrWpg3GoiIiIiIOJMSZyIiIiIibnbsLMxaD3GJhW936LT5+HYr3HMldGzsnvhERDzp6BlY8RfsOp53XbodYhPgu//BD9vh8mZwQxiEBLo9TBERERGpoDTHmYiIiIiIG+2NgfdXFZ00u1hSOny+DjYecF1cIiLeYMdReG9V/kmzS2VmwR9R8M5KOHHO9bGJiIiISOWgxJmIiIiIF4iMjGTkyJE0bNiQgIAA2rRpw+uvv45hGNSqVQubzUZSUpKnw5QyOnoG/rPOHDFRUoYBC/6A7UecH5eIiDfYfRxm/mYmxEoiIQU++BlOn3dNXCIiIq5WHvuDx3avYcZ9Frb/9EG+6+OO7mTGfRY2LX7JvYGJOIFKNYqIiIh42IIFCxg5ciTp6el069aNq6++mt27dzNp0iSio6M5e/Ys7du3Jzg42NOhShlkOcykWUYhSbOHB5pz95xLho9+ybveAOb8Ds1qQ3WVJRORCuR0Isz6zbxJID//b6j575Ql+a9PyYBPV8MzN2lOSBERKV/UHxTxPkqciYiIiHjQxo0bGTFiBFWrVmXFihX069cPAMMweOqpp3jrrbcA6NatmwejFGf46yjEpxS+TY0gqFO18G0ys2BjFAy6zHmxiUjllJyczOTJk5k3bx6pqancfvvt9OvXjzFjxpCYmEhAQIDbYvltL2QUMtKsim/RbcQlmaNyuzV3XlzFseiVfrTpdTdhA8fnLIuPPcDsJ1vz+JwCMoFulplllsGMS4RAP+gSClXd9/ZWCA4D9sdC9BnwsUKHRlC/uqejEpHyTv1B9zh0Gn7fDzEJ4Gs1546+siUE61woBVCpRhEREREPycrKYvTo0WRkZLBw4cKcThKAxWJhypQp+PiY9zl17949Z93+/fsZNGgQwcHB1KlTh8cee4yUlCIyMuJx6/c7r62N+80RbCIipWW32xk8eDA//PAD77zzDosWLeLQoUNMnjyZtm3bujVplm6HPw86py1n/q2tKHYdg//3DXy5AVb+BYu3wIvfwI87Ch7hJ7mdPA+vLYOPf4UVO+D7bebz/6wtXfllERFQf9AdDAOWbIUZP8HmQ3DsLByKg2URMO17OBzn6QjFW2nEmYiIiIiHLFiwgD179jBkyBD69++fZ31gYCCNGjUiOjo65w7D+Ph4+vfvT2hoKIsWLeLUqVM88cQTnD59mq+//trdP4IUU2wCHDjpvPYSUmHnMejc1HltikjlMmPGDCIiIti7dy/169cHoF27djRr1owBAwa4NZb/HYa0TOe0deg0HD8HjWo4p73yLjrOLBPs+DtBdvG/K/+CAF/o395z8ZUHKenwwSpITjefOy5KNu48ZiYkH+zrmdhEpHyrKP3BzPRkUhPzZqDSU+LdH8wlNh6ANXvyX5eSAf9eDc/dDEH+7o1LvJ8SZyLl1Purii73VFohgfDYta5p2x302ohIebF48WIAhg8fXuA2qampWK1WunbtCsCnn37KuXPniIiIoHbt2gD4+PgwfPhwXnjhBTp27Oj6wKXEnJk0y2nzlBJnIlI6hmHw9ttvM2bMmJykGUBoaCg+Pj507twZgMjISEaOHElCQgKNGzdm7ty5NGjQwOnx7Dnh/PaUODP9vKvw9at2wtVtNC9cYf48CIlp+a8zMJNnMfHQIMSNQYlIhVBR+oMb5j/DhvnPuP24RTEMWB1Z+DYpGbD5IPTTTSRyCSXORMqp+BQ4k+TpKLyTXhsRKS+2bNkC5C67cbGYmBhOnTpFhw4dCAoKAuCHH35g4MCBOZ0kgNtvv53Ro0fz448/FqujNGDAAI4cOeKEn0CKq9XVD9Humom5lj080JzT7GI1gy78+9zNudedS4aPfrnwfN6CJUy6+8kSx9K0aVN+/fXXEu8nIhVHZGQkJ06cYOjQobmWx8TEYLfb6dKlCwDjx4/n+eef55ZbbmHGjBk888wzzJ49u9C2Q0NDSUhIKFE8109YSoO2fXKe/7+heec0C/j7+at35t0/NROmLLnwfNrr73D7dy+XKIZL1WrahSGT1hR7+9/mPpH7oqGjZPV0+/fvx5kjESXap0gWCyNnnMJqK3iCuJQM6HjFYE4e+N25x65ABv3fcuq16oXFkv9sJw5HFneN+xd/rXzbKcerXr060dHRTmlLRLybt/YHLVYfbnyxgGFa+eh87aO06HZLnuXnTx/ml/+MKVYb7dq1w3A4t/ZtYI2mDPi/ovs9ny1cz4NfjHLqsb2Z+oPFo8SZiIiIiIecOnUKIKcTdKk5c+YAuTtSkZGRjB49Otd2/v7+tGzZkj17ite5OXLkCFFRUaUJWUqpdtj5PMtqBEGdqvlvb7MWvC5bSmq63kcRKZXjx48DULdu3VzLV61aBUCXLl04efIk+/fv55ZbzAthDzzwAC+88EKRibPSsNice2nCUkiiyFWuHv42YQPH5zyPjz3A7Cdbuz2Oi1ks1kKTZtmsPn5uiKb8svkGFJg0A8BwYPNRjS8RKTlv7Q9aS3hertGgLU07XZNnedzRncVu4+DBKBxZzk2c1WhYvO8D6RlZ6ldJHkqciYiIiHhIcHAwqampREVF5SqVBXD06FGmTZsGkFPPHuDcuXOEhITkaatGjRqcPXu2WMdt2lT1/dytamDer93nkvNuVzPITJplOeBscuHb+9uyaNmyZYlj0fsvIrVq1QIgKiqKNm3aAJCcnMwrr7xCgwYNqFOnDlu3bqVJkyY5+wQHBxMQEMCZM2dy9s9PaUbKfLYGdh2/8Pzi0WPZskeaPbuw6Pae/uejXPffR0scx8WOnIG3V5SpiRJZvXoNTQt+WUtt+jJznk2jgPVWC/y5eglVqzj/2BXF4s2wYX/uuc0uZrX58sH0SXSaO8m9gYlIueet/UGL1f0pgxYtWjp9xJnV10ZmWiK+AYXfkZh5PrpU/arySv3B4lHiTERERMRDwsPDWbJkCa+++irffPMNfn7mHd+RkZHceuutxMfHAwWX7igtlWVwv8gT8Onq3MsuLruY7bmbzZFmZ5PhX0sLb/PxcffS7917nRekiFQanTp1IjQ0lIkTJ2K327Hb7UyfPp3ExMScOVTcqWFI7sRZWWmuqQv6tYd5m/JfZ7FAl6YoaVaE8Dawfl/+66wWqF4FOjR0b0wiUjF4a38wywET5zn1kEXas2cPtkIG95bWN1tg3d7Ct/lkykgavDfS+QeXcs0FH0cRERERKY7Jkyfj6+vL8uXLadu2LXfddRcDBgzgsssuo1evXlSrVg2bzZYz1wyYdxJmd6Audu7cOWrWrOm+4KVE2ta/MH+ZM/hYoUcL57UnIpWLn58fixYtokqVKgwbNowpU6bw/PPPExISknPOady4MUePHs3ZJykpibS0tEJHm5VWr1bOayskEDo0cl575V3PFnDV36+v1ZJ7XcMQuKOn20Mqd+pXh7uvBAu5X0ML5tx7Y/qBVVfXRKQU1B90vRvCoGGNgtff1EU33Ej+dGoXERER8ZAePXqwatUqwsPDiY2NZeXKlTgcDubOncvkyZM5f/487du3JzAwMGef9u3bExkZmaud9HRzrqt27dq5+0eQYrJa4SonTnXTtRkEaToVESmD7t27s3XrVlJSUti2bRsDBgxg3759dO7cGYB69erRqlUrvvvuOwD+85//MHToUJfEUjMYOjop2XVVK1xyx3ph7nh+Ta75zQBC6rfi8TkFFUh0H4sF7uwJDw2ATo3NZI/FAvdcCf93PQRqerNiuaIlPH2jmeS1YD4Gd4bJQwq/ICsiUhj1B12vih88dg30b5/7nOdjhVG94ZqOnotNvJtKNYqIiIh4UN++fVm/fn2e5fPmmbUxLq5nDzB48GCmTp2aa46Zb7/9lvT0dAYPHuz6gKXUrmwJP+4wS5+UVW8nJuFERAB27NiBw+HIdVf7xx9/zP3338+TTz5J48aNmTt3rsuO37tN4eUaUzOLbsNmhSudOHqtorBYoG0D8/HMAnPZFZVnKhenaRBiJiG3HjafX9vJk9GISEWh/qDrVfGDWy6HGzub5fDPpZgj1LuEejoy8WZKnBUgLRNW7ICdx8xJdJvXMYduhgQWtadUZudTYVkERJ0yn3dsBIPCdBcfwLlk+H4bRJ8x787r3BSuuwz89VeI04mw9H9wIt4s/dGtGQzsCL42T0cmIp60efNmIG89+3HjxvH+++9zyy238MILL3Dq1CmeeOIJhg0bRocOHTwRqhRTcIDZYftmS8HbnEvO/W9+rmoNTZ1fKU1EKrmIiAgCAwNp3fpCZr5jx45s2VLIHy0nat8Q+raDtXvyXz9lSdFt3HslVNN8XSIiUgGUh/5g4w79Ch1dXbtJJ68YfZ3Nx+b+UelSfnn1Jetp06axcuVKOnfuTFJSEv/973/dctwMO7y7Ek4mmEkzgDNJEHUSHr9eyTPJ3/lUeGdl7gtdv+2FPSfgiRvM2ueV1ZkkeG8VJKRcWPZrJESegH8OqtwJotgE+OhnOJ92YdmqnRAZAxOu1QldpDLLvlB56R2GISEh/Prrr0yYMIHbbruNKlWqcPfdd/P66697IkwpoT5tIT7ZPA/m56NfCt+/U2O4vbs5ekBExJnGjx/P+PHji97QhW65HFIz4M+DJd/3tu7QrbnzYxIREfEE9QdFPMtrL8lu2rSJ2NhY1q5dS2hoqFsz5uv3mSNALs2Hn0sxR4WI5Gf59rx3hxtAXFLBd026w+51s4g5sAmATYtfIjk+1u0xfLsld9IMwDDg1PnSdYqdxRtemwV/5k6aAWQZEBsPfx1zezgi4iUcDgfbtm3LMxF0tjZt2rBixQqSk5OJi4vjgw8+yFX3XrzbkK5wc9eS79erFfzjat1UISIVl/XvubcGhxX/5rpgf/NvY5+2ro1NRETEXdQfFPE8rx1xtmTJEsaOHQuAzWYjISGBl19+GcMweOmll1x67K2HC5574nCcSw8t5diBk/kvdxiwLRquv8y98Vxs36b5xB7YROyBTVw20P13kR4/l/9yuwM2H4RwD87T4unXJi4x/+XpdvgzCro0dW88IuIdrFYriYkF/IGQcs9igQEdoHV92LDP/O6ZmZX/tlaLOcosvDW0qa+RZiJS8VksZkn33m1g86ELN7ZeqkUdCG8DnZuYpZdEREQqCvUHRTzPaxNn8fHxOBwOUlNTmTlzJpdffjkzZ87k/fff5/Tp09SpU6fQ/YOCgsjKKuAKRBFufe436rXoke+6w4cPERDQvlTtSsV2z7RdVK+X/wzLO//aTsAdVzj3eK/upnrdFsXats2Vw2jQ6krSk+OLtf3BgwcJCHDeKM/h0/dStXb+M27+vmEdz9xyndOOBeXrtbnvzSiCazTKd92yZd8x4YZhTjuW5Gaz2UhOLmQSIRERF2tSE+6+0hx99uchiI4z59fNzAI/m5lcu7KVyoSLSOUU6G/OedanrXkj3oyfzOUP9oWaQVCnmmfjExEREZGKy2sTZyNGjGD48OGEhYVhs9lo3LhxifYvy8XQjfvhm6353/k76Krm/DctLe8KqfS+3Qrr9uQt8eljhbG3dmbOs8793Ez9zpw7zBVatGhBmhM/53N+hy2H8i7384FJo/uwYErlfW0+XW3O9XapKr7w+pO3sPQt/b0REanoAv2hXzvz/698Z5Z5rlYFBoV5Ni4REW9gsUDjmhfK1LZt4Nl4RERERKTi89rEWXh4OH/99RcAgwYNYsiQIUyZMgXDMIocbVZWPVvCHwfNu9qyk2dWC9QKhhs7u/TQUo4NusxMgJxJNOeoAjNp1iAErvJgKcIOfUbl/P/K21/ySAxDL4fDp+FMsjm3GZhzFjSt6dlShN7w2tzVE977CeJTLiRd/X3M0jNt63skJBEREREREREREZFKy2sTZ9ni4uKoV68ePXv2pGfPnm45ps0Kj14Dm6Jg0wE4ds6cn6pvOwjwdUsIUg5V8YOJg2DdXvhfNMTEwy2XQ69WqrkfHABP3ABrI2H7UYhNgNu6mUnq7DtHK6saQTDxBvhlt5l4jU2AO3vC5c00j42IiIiIiKcE+Zs3QtoLmP/cmXys5vFERERExDt4feKsdu3azJ492+3H9bGZkxH3bgNPzjMTZyJF8feFazuZjyfnwdVtPR2R9wj0gxs6m48n50EvD47C8zbBAWaS9ZbLzdeme3NPRyQiIiIiUrnVCoZnh0ByuuuPFeRvHk9ERMQbWC3w1j3uP6aIN/H6xJmIiIiIiIiIiLvVClZCS0REKh+LBWxKZEklV8mLpImIiIiIiIiIiIiIiIiYlDgTERERERERERERERERQYkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERAHw8HYCIlE5IYPls2x302oiIiIiIiIiIiIhIaShxJlJOPXatpyPwXnptRERERERERERERKQ0VKpRREREREREREREREREBCXORERERERERERERERERAAlzkREREREREREREREREQAzXEmIiIiIiIiIiIiIiKAYYDDcO8xrRawWNx7TJHCKHEmIiIiIiIiIiIiIiI4DJg4z73HfOsesClxJl5EpRpFREREREREREREREREUOJMREREREREREREREREBFDiTERERERERERERERERARQ4kxEREREREREREREREQEUOJMREREREREREREREREBFDiTERERMQrREZGMnLkSBo2bEhAQABt2rTh9ddfxzAMatWqhc1mIykpydNhioiIiIiIiAuUtz7hsd1rmHGfhe0/fZDv+rijO5lxn4VNi19yb2AiTuDj6QBEpHTeXwXxKa5pOyQQHrvWNW2LiEheCxYsYOTIkaSnp9OtWzeuvvpqdu/ezaRJk4iOjubs2bO0b9+e4OBgT4cqIiIiIiIiTqY+oYh3UeJMpJyKT4Ez3nOTiYiIlNLGjRsZMWIEVatWZcWKFfTr1w8AwzB46qmneOuttwDo1q2bB6MUEZGKKDk5mcmTJzNv3jxSU1O5/fbb6devH2PGjCExMZGAgABPhygiIlLhqU8o4n1UqrGccBiQlGYmSpLSwOHwdERSkHQ7nEsGw4AMu6ejERERb5aVlcXo0aPJyMhg4cKFOR0kAIvFwpQpU/DxMe9z6t69OwAHDhxg/PjxdOnSBR8fHzp16uSJ0EVEpJyz2+0MHjyYH374gXfeeYdFixZx6NAhJk+eTNu2bZU0ExERcQP1CUW8k0acebnENPh9P6zbayZhrBYzIWO1wlWt4eo2UCPI01FKlgN2H4efd8Oxs+BjhSwDJi+EFnVhYAdoXd98/0RERLItWLCAPXv2MGTIEPr3759nfWBgII0aNSI6Ojrn7sJdu3axfPlyrrjiChwOBw7dTSMiIqUwY8YMIiIi2Lt3L/Xr1wegXbt2NGvWjAEDBng4OhERkcqhIvQJM9OTSU2My7M8PSXe/cGIOIkSZ17KMGBZhJkwMwywX/r3LwvW7oHf9kK3ZnBnT7Bp/KBHHDkD/14NmVnmaDMwE2lgvm/7Ys1tAv1g3ACoV81zsYqIiHdZvHgxAMOHDy9wm9TUVKxWK127dgVgyJAh3HLLLQCMGjWKLVu2uD5QERGpUAzD4O2332bMmDE5STOA0NBQfHx86Ny5MwDjxo1j2bJlnDhxAsMwPBWuiIhIhVUR+oQb5j/DhvnPeDQGEWdT4swLGQbM+R3+OmYmYwqS5YAsYOthszTg2P5Knrnb/pPw2ZqiSzKmZZqPd1bAhGuhYQ23hCciIl4uu4OTXXLjUjExMZw6dYoOHToQFGQOMbdadbIXEZGyiYyM5MSJEwwdOjTX8piYGOx2O126dAHMi3hTpkzJlVwTERER56kIfcLO1z5Ki2635Fl+/vRhfvnPGA9EJFJ2Spx5oZU7zaRZcefHysyCQ6dh0WYYdoVrY5ML4hLh8zUlm8csLRM+/AWevQmCNWWAiEild+rUKYCcDtCl5syZAxTciSqtAQMGcOTIEae2Kc7Rf8IvBNUKJTo6mlatBrrkGE2bNuXXX391SdsiUj4cP34cgLp16+ZavmrVKoCcxFmfPn1K3HZoaCgJCQllCzAf974RDUBISKjT265M9DqWnatfw+rVqxMdHe2StkXE+3iiT1hUf9Bi9eHGF/cUu70aDdrStNM1eZbHHd1Z7DbatWuH4SjBRdZSckd/y9upP1g8Spx5mXQ7/Lq78GTM9GEwaX7uZRlZsOUQDAqD6lVcG6O3cRhw4CScOg/1q0PLumBxw1xiq3YWPiIwv/cJID0TNuyD68NcF5uIiJQPwcHBpKamEhUVledu/qNHjzJt2jSAnFr2znLkyBGioqKc2qY4R297JgCZ9ky9RyLiMrVq1QIgKiqKNm3aAJCcnMwrr7xCgwYNqFOnjifDExERqTQ80Scsqj9otbk/ZXDwYBSOLNcnztTfkuJS4szLbD1U9DbWApJChmEmZAZ3dm5M3uxMEnzyKySlQWomVPGDagHw0EAICXTdcdMyYVu0mbQrSEHvk90Ba/fCtZ3Ay0ZWi4iIm4WHh7NkyRJeffVVvvnmG/z8/ACzhNatt95KfHw84PwRZ02bNnVqe+I8vj6+Of+2bNnSJcfQ+y8inTp1IjQ0lIkTJ2K327Hb7UyfPp3ExMSc+VNKy1UjZZ5ZYP6bfW6U0tHrWHZ6DUXEmTzRJyyqP2Cxuj9l0KJFS7eMOHNHf8vbqT9YPF6dOJs2bRorV66kc+fOJCUl8d///tfTIbnc6siSlf67mN0B6/fBDWHuGXHlaYYB/14NpxMvLEvNMB+frYGnBrvu2NvK2Bd0GBAZAx0bOSceEREpnyZPnszy5ctZvnw5bdu2pUePHsTFxbFu3TpGjBhBTEwMycnJOSWznEVlGbzXK99BXJJZ6uzAgQOeDkdEKig/Pz8WLVrEuHHjGDZsGG3btmXq1Kk89dRTTj/niIiISME80Scsqj+Y5YCJ85x2uGLZs2cPNjcMMFB/S4rLa8e7bNq0idjYWNauXUtoaCgdOnTwdEhucTa5bPtn2AsvH1iRHD0LiWn5r4tPgZh41x37xDmzPGZpZdjN0pLusHvdLGIObAJg0+KXSI6Pdc+BRUSkSD169GDVqlWEh4cTGxvLypUrcTgczJ07l8mTJ3P+/Hnat29PYKALh1GLiEil1L17d7Zu3UpKSgrbtm1jwIAB7Nu3j86dK1EJExEREQ9Tn1DEO3ntiLMlS5YwduxYAGw2G1arlaFDh/Lmm2/SqlWrIvcPCgoiK8s5GaQHP4knICDEKW0VZey/k3LVkZ0+LG/JPx8rvHH3hecO48JcWqmpydSt35a0pDg3ROtZzbsN5Zoxs7H5+udZdy4hib7XDufIXytdcuz+oz+nbfh9Oc+L8z7BhffKYcBzL7zM/5a9WuoY7nl1N9XrtijWtvs2zSf2wCZiD2zisoHji9z+4MGDBAS4Llntzt+p8kavjfvYbDaSk8t4t4KIE/Tt25f169fnWT5vnnmLn7PnNxMREcnPjh07cDgcue5oHzVqFD///DMAjRs3pn///nz55ZceilBERKRiUp9QxPt4beIsPj4eh8NBamoqM2fOZOnSpVSrVq3Y+zvzYuiT8yAtrYChTU725Ndgvyjfl50Qu9gbd8NTX+e/f0CVIOJOHsPH5pr4vMnJBHh/FSSl511XKySYjau/o1awa4797RZznrJsJX2fbBZ49ZUX6bvoxVLHMPU7c4634mhz5TAatLqS9OT4Ym3fokULl37m3fk7Vd7otRGRbJs3bwby1rJPSUnhhx9+AMx5ZM6fP8+iRYsA827F0NBQ9wYqIiIVQkREBIGBgbRu3Tpn2axZszwXkIiISCXn7X3Cxh368fgco8D1tZt0KnS9iDfz2sTZiBEjGD58OGFhYdhstkozaV3DEDhypvT7VwugUiTNAOpVNx/Jp+DiP8FWi/k6uippBtC8DmyKgvRSzkfnY4MmNZ0bk4iIVCxbtmwB8t5deOrUKe68885cy7Kfz5w5k1GjRrklPhERqVjGjx/P+PFFV6cQERER91CfUMRzvDZxFh4ezl9//QXAoEGDOHbsGD/99BMHDhzg5ZdfxmarmNmhgR3gq42lS8j42WBA5ZgKLseYfjBzHZyIN+c7qxYAjWvC/Ve79ridGuctzVgSQf5m8s0dOvQZlfP/K29/yT0HFRGRMnE4HGzbtg2bzZZnEuhmzZphGLprT0REREREpKJSn1DEs7w2cZYtLi6OevXq0aRJE7766itPh+NynRqDzVq6fQ2gR/GmvKowAnzhoYGQkApTvoWnBkPVKq4/ro8NwtvA6kjIcpRs3+wEp6UMiTcREanYrFYriYmJng5DREREREREPEB9QhHPKmWKxn1q167N7NmzPR2G29iscHsP8CskpenI54YCPx8Y3NlMJFVG1auYiSh3JM2y9W9vjhwrSH7vk9UCIUHQs5IlOEVEREREREREREREygOvT5xVRt2awfWdzJFJ+Zk0P/dzPx/o1cpM5Ij7BPnDY9eY/+ZXtvHS98lmMRN8j15TeGJUREREREREREREREQ8Q4kzLzWwI9zdy0zK+BeQZPH3gSq+cHMXuLVb/tuIa9WpZpaHbFYbfG35J9B8rOa6tg3Mbau5cVSciIiIiIiIiIiIiIgUn8a9eLHLQ6FLE4g8AT/vhph4yMwy59RqXBMGdoDLGpvzbYnnhATChOvgdCKs2wPbjkBaJliAKn5mWcbebcztRERERERERERERETEeylx5uWsVujY2Hxke3IePHmD52KS/NWpas5Pd3sPT0ciIiIiIiIiIiIiIiKlocSZiIiIiIiIiIiIiIhgtcBb97j/mCLeRIkzERERERERERERERHBYgGbEllSySlxJlJOuXLONM3HJiIiIiIiIiIiIiKVkRJnIuXUY9d6OgIRERERERERERERkYrF6ukARERERERERERERERERLyBEmciIiIiIiIiIiIiIiIiKHEmIiIiIiIiIiIiIiIiAihxJiIiIiIiIiIiIiIiIgIocSYiIiIiIiIiIiIiIiICKHEmIiIiIiIiIiIiIiIiAihxJiIiIiIiIiIiIiIiIgKAj6cDEBERERHvYhjgMNx7TKsFLBb3HlNERERERERE5FJKnImIiIhILg4DJs5z7zHfugdsSpyJiIiIiIiIiIepVKOIiIiIiIiIiIiIiIgISpyJiIiIiIiIiIiIiIiIACrVKCIiIiIiIiIiIiIiFVRmFiSmgj3LfO5wmHN7a55tKYgSZyIiIiIiIiIiFdTRM7ApCs4mQ7odLMCXG6BLU+jYCKwerkWUmQXbj8DOY5CSYV7UDPCFutWgV2uoV82z8YmISPl14hxs2A9bDpnnwGxnU2D6cghvDT1amOcdkYspcVaAI2dg80Hzi2WWA77eBF1DoXV9sCoTLVIiDgP2xkBENCSmmb9T32yBni2gcU33xxOfApsOwIl4yLBDoD+0qQeXNwM//VX0GvYs+OsY7DoOyengYzU7z1e2gjpVPR2diIiIiIj3ynLA1sOwfp95feNiBua6rYehRiBc1dp8BPm7N8b4FPhtr5nUS07Pu373CVizB9rUh95t4LLGGhkgIiLFc/QMfLsVDp4ueJvYBFi8BZZFwBUtYUhX8LW5LUTxcrpEfBHDgP8dhpU7zS9wmXbzCyWYX+QijpgX1fu3hz5twaYZ4kQKZc+CtXvMzk6GPfedHb/tM3+vagbBoDDzbkdXO3IGlm+Hg6fM33e748K6ncfME2qPFnD9ZVA1wPXxSP7SMmHVLvh9n5l0vfhzY7WYneuGNWBwZ7MTLSIiIiIiF6RlwszfzJsXi3Iuxewj/X4AxvWH+tVdHx+YfbLP15ojzIqyL9Z89GgOw64AH13UFBGRQuw6DrN/g4ys4m2fbod1e+HoWXiwr/tvJBHvpNTP3xx/jyqb/yecOm9e5Dcu2SYtE86nwo/b4aNfcl/MFZHc0jLh/Z9hxV/mKLNLf18Mw/w9i02ArzbCoj/NJImrbD0EH6wyO4+ZWbmTZnAhsff7fnh9OZw877pYpGAJKfDmD7A2ElIz835uHIb5xedwHHy+Blbv9kiYIi4TGRnJyJEjadiwIQEBAbRp04bXX38dwzCoVasWNpuNpKQkT4eZ49juNcy4z8L2nz7Id33c0Z3MuM/CpsUvuTcwERGRSirdbl6vKE7S7GLnkmHGT2b/zNUOnDRjLE7S7GKbD8Gs9eZoOhGRiqi89Qe90f5Y+O+64ifNLnboNHy62rxGKKLE2d8Wb4Zt0cX7xcjIgug4+GyNvrCJ5CfLAR//CsfPmkmqomTY4c9D8P0218Sz6xjM/6N4J02HYSb63vvJHHkq7pOaYXbWzybnTWzmJyMLfvwLNuxzfWwi7rBgwQK6du3Kl19+ScOGDbnlllvw9/dn0qRJPProo5w9e5a2bdsSHBzs6VBFRETECxmGOXfZpaUZL/b/hpqP/KRmmBcMk9JcEZ3p9Hn4z9qCv+8XFh+YlUKW/M8VkYmIeJb6g2V3Lhn+s67w6/UPD4Tnbjb/zc+RM+Y1RBElzoD9J2Hz4YIvqk8flneZ3QFH4sxyBiKS29o95uSbBXWG8vudyrCbk3UejnNuLOl2+GJDyX6/wew0fvW7c2ORwn33P0hILXjkYUGfmyX/U5JTyr+NGzcyYsQIgoODWb16NVu2bGH+/Pns2LGDiRMn8tFHHwHQrVs3D0dafsUlwsq/zBr2P+/yvr8bDgN2H78wx0taplnyWETElZKTk3n88cepW7cuVatWZdSoUcyaNQtfX1/S0lyYPSkhwzD/TmY54IxutC/QodNmYqkwVXzNR0HOJZv9Mlf5ebdZWaIgRcUHsH4vnNXnQEQqEPUHneP3/WY/qjA1gqBOVfPfgvzvsGe+b5w8Dyt2mH3WX3eb18jEc5Q4w7x4UthIM2sBk89mZJkfYsOF5eVEyhuHAasjCx9pVtDvVKbd/J1ypq2H8pZdLU4sDgMOxZkdR3G9tEzzi0lhdwUV9F4ZhjnpuUh5lZWVxejRo8nIyGDhwoX069cvZ53FYmHKlCn4+JjT0nbv3h2AhQsXMnToUJo0aUJQUBBhYWF8/PHHOBwaCn+pLId5x+C/lsKPO8x5EpdFwMtLzIS9K8sEF9ep8/DaMvj3mgsXE5PSzRgPnPRkZCJSkdntdgYPHswPP/zAO++8w6JFizh06BCTJ0+mbdu2BAR4x6S/e2Ng+nKzz56ZBVO/gw9/Vmn1/Dgr4fX7ftdU10lJN/tnZWUAG3UTs4hUEOoPOoc9CzZGOactA/Nc6C72LJjzO7z6vTnlzW97Yek2ePlbsw+r3INneHXibNq0afTt25cJEyYwevRolxwjPsWclLa0UtLh4GnnxSNS3u2NKX0tYAOIPOG80iCGAb/sLn08DgN+U0LGLbYcAgpIjBXF7jDLNap0rpRXCxYsYM+ePQwZMoT+/fvnWR8YGEijRo2AC3cYvvXWW/j7+/PGG2+wbNkyhg4dyoQJE5g0aZJbY8+WmZ5MamJcnkd6SrxH4rnYt1vNi2uX9jWMv2/0WPmXR8LKkZxuzvNyKp8LwIlpZjItJt7dUYlIZTBjxgwiIiL47bffGD58ONdffz1ffPEFMTExdOnSxdPhAWbf4pPVcPKSebeiTsGMlRp9drHENIiIdk5bCamw67hz2rrYnweLV5K9ODYe0MhsEakYKkJ/0BtsP+rcUsObotx3npn/x9/XxS7hMMz+6upI98Qhufl4OoCCbNq0idjYWNauXctbb72F4aLU6t6YUl+rBcwycDuOQMu6TgtJpFzbfsT8vSgtqwX2xcLlzcoeS0IqJJZhWHOWw+x83ty17LFI4f53uGyTrxrA0bPQrLazIhJxn8WLFwMwfPjwArdJTU3FarXStav5B+n777+nTp06Oev79+9PUlISH3zwAa+88gr+/v6uDfoSG+Y/w4b5z7j1mMURn1L0nYKrd0O/dlDFzz0xXWrjgcLLRmb8PRp7+FXui0lEKj7DMHj77bcZM2YM9evXz1keGhqKj48PnTt35syZM9x3330cPHgQPz8/evTowccff+y2c4xhmDc/YOS9+cFhmBULft4Fw65wSzheb8dRyHLiZZP/HYawJs5rD+B/TkrsgTkye/9JaN/QeW2KiHhCRegPeoMdR53bXvLfg2Xa1C9627I4fR42FzEa++dd0LsN+HltJqdi8tqXe8mSJYwdOxYAm81G8+bN+de//kVGRgYvv/yy046TnF72O57Oq96oSI6y/j5kOSAlwzmxpKSD1QqU4Q6Romoji3Nkz+lTWhbM91ukPNqyZQtwoezGpWJiYjh16hQdOnQgKMgsxH5xJylb165dSUtL4+zZszRo0KDQYw4YMIAjR44UuN5i9eHGF/cU90eg87WP0qLbLXmWnz99mF/+M6ZYbbRr1w7DUYYMej6aX3k/HW94odBtMrJg0N1PcnzHEqceu7j6PPQ91eq3L3SbTfvSefH+y8Bwzm36TZs25ddff3VKWyJSPkVGRnLixAmGDh2aa3lMTAx2u50uXbpgsVh49tln6dOnDw6Hg+HDh/PBBx8wceLEQtsODQ0lISGh0G2KI6RhB4Y+V/Ckww4DfotMY9ygBqphBHS+4Wm63jQ55/n/G5r/XGEBfy979c7cy1MzYcqSC89X/Lye/xtyk1NjvGPKDoJrNS00xoLiyy/G+0aNJ+rPr50aY3Hc+4aZAQwJCXVJ+9WrVyc62olZRhHxat7YHyyPrhw1h9rNr8y17OGBeecyqxl04d/nbs697lyyWQ0k2wPjJhCz6wcXRHtBqz4P027gE4Vuk5IB/YeO5+Sen51yTPUHi8drE2fx8fE4HA5SU1OZOXMmS5cuZciQIfzf//1fsfYPCgoiK6voq+WXXfMoV975L2w+ZiZ++rC88+j4WOGNu3Mvcxgwab75/6+/nsu4ax8oVlzO8OAn8QQEhLjteOWFXhfvcP0j82l++YWLp8X5nbr49yk1NYXHHn2KyHX/KXMsIQ3acuvktfgHhhQYT1G/32fOnCYgwMm3Whaisn6O73x5C7Uad8p5XtLPTXz8OW4ech/Hdv9CcdlsNpKTNYmdeN6pU2bN6OxO0KXmzJkDFNyRyvbbb79Rs2ZN6tYtehj8kSNHiIoquAC81Vayr4g1GrSlaadr8iyPO7qz2G0cPBiFI8u5ibPanYt350RCckahr4cr9fUpZFbqv9l8/Tly9ASZ6fqbJSLOcfy4WYfv0nPGqlWrAOjSpQs1a9akT58+AFitVrp37+7Wi2wBQTWL3MbHNwAf3yrYMwoZultJ+PhVcW57/oFObQ/A5lcFwzCwWMpS9+cCV8QoIuJu3tgfLI+6O/LOSFUjCOpUzX97m7XgddnOxie5/HVqeEXxbv6JT0yvcO+Zt/PaxNmIESMYPnw4YWFh2Gw2mjZtytSpU3n00UeLtX9xL4b+77BZRzS7tFz2RdiLvXE3PFXATUxWCzw2djg/fljwcFpne3IepKU5sWhrBaHXxTt8uxXW7b1w02dJf6eqBgfy5X8/pFPjD8scS3I6vPht7prEl8ZTWCwAzRvXcevnqrJ+jj9dbc5vl62kn5tq1Wvw26/LaRDikvBEXCo4OJjU1FSioqJylcsCOHr0KNOmTQMu1LPPz5YtW5g5cyYvvvgiNputyGM2bdq00PUWq/u/IrZo0dLpI86q2Io3FDXIN4OWLVs69djFlZlyGij8/chIOUfTxs6rEVLU+y8iFV+tWrUAiIqKok2bNoDZh37llVdo0KBBnjvZ09LSmDVrFm+88UaRbTtrpMyZJJj6XeHbBPnD6ZMncFIeplxbtROWb7/w/OKRWRfLHsn17MLC27vqisuZEx/vjNByvPIdxF00L11+MRY3PoCP3nubbs3fdkpsJfHMAvPfeCe/PiJSOXljf7A8spG3ZNS5fNIDNYPMpFmWA84mF759jWpVXN5P9LcU7+afYD+702KpiO+/K3ht4iw8PJy//jJnax80aBBTpkwhJiaG3377LeeLvTN0bFS2qg42K3Rv7rRwRMq9ni3M+VpKO1+VYUDbwkeUF1uQPzSpCYdOl25/Px8Ib+2cWKRwV7WCg6dKPz9ekD/Ur+7cmETcJTw8nCVLlvDqq6/yzTff4OdnTrYVGRnJrbfemnNRpqA7DGNjY7n99tvp2bNnsSeDLqosQ5YDJs4r/s/gDHv27MGW9ybBMknLhBe/KfxvS9UAWPvdJ/gU3b90iU1R8PWmwre5vlsNPjpwwD0BiUil0KlTJ0JDQ5k4cSJ2ux273c706dNJTEzMmT8lm8Ph4P7776d///4MGjTIbTHWCjbnFTlw0qw0cCkL5ndIJc1Ml5ai8rb2stu8OHHmjPZERMo7b+wPlkdzf887V9hH+RQleu5mc6TZ2WT419LC2/zyvx/SPG9VTKdKSoOXvi18KqlawbBx5ZfmdDTiNl7/csfFxVGvXj1efPFFPvnkEx54wLklEf19oVvzvCXBiqthCNSt5tSQRMq1RjXMP+ilYbPAla3A14kXL6/pAAGlvUXAgB4tnBeLFKxDI0p9wdzPBwZ00EUTKb8mT56Mr68vy5cvp23bttx1110MGDCAyy67jF69elGtWjVsNhtdunTJs29CQgI33HADgYGBLF26FF/ffCYzqcQCfOGmLoVvM/RyPJY0A+jWDJrVLnh9jSAYUPgUaCIiJebn58eiRYuoUqUKw4YNY8qUKTz//POEhITkOd888sgjWK1W3n33XbfHeUcP82/5pf11C9AgBAZ2dHtIXiusyYX5wZzhChf0g65w4k37davh8ouZIiLuoP6gczj7+l2dqhBaSD/NWYIDYFBYwestmH1WJc3cz+tf8tq1azN79myXHqNf+8IvmOR3dxuYF2uvv8w1MYmUZ4MuM38/ClLQ75TNBn3aOjeW9g0hwK/ksfjazNGkzux8SsFsVjP5VarPjQV6aOSvlGM9evRg1apVhIeHExsby8qVK3E4HMydO5fJkydz/vx52rdvT2Bg7nk80tLSuPnmmzl16hQrVqzIKbsluV3dFoZdAdUumfqlRiCMDDdvoPIkXxuMHwDdm+W9MNy2AUy4Fqo6d9oaERHAvHN969atpKSksG3bNgYMGMC+ffvo3LlzzjZPP/00R48e5YsvvsDqgSs2davBxBvMhIvP34cP9INrOsKE6/Rd/WJ+Ps5LTDUMcU1SqktTs1KEM4S31o1zIlIxqD/oHK3rOXdwS3jr0g+0KamBHeC27hB8yTmydjA80Bcua+KeOCQ3ry3V6E71qsGdPWHhH5CRzxzy+c214+cDV7cxR0mISG6dm8KBU/BHVP4lG/P9nbLB8F6lH61WEKsVHh4Ib68wS3YVJxYfK9Srbp60xH0GdDDLNe4/CZkl+Fs8boA5elikPOvbty/r16/Ps3zePLNe4qX17O12O3fddRc7duxg7dq1hIaGuiXO8qpXK7OU8Mvfwvk0qBYAL9ziPXftBfjCfeEw5HLz76DDMEsNq6qBiLjTjh07cDgcOXe079q1izfeeIN27drRo0cPAK699tpizXPmTLWCzRsg7uxpfkf0sylhUpCrWsPaPWVvJ7yNa15jHxtc2RJ+2V22dnxtqgwiIhWL+oNlZ7GYya5vt5a9LV+b2X90F4vFHEhwVStz/s/sPuvkm92XvJO8lDj7W4/m5tDHBX+CPavgkQ0WwNfHLJmj0WYiBbutG/haYf1+yLRDQVMJ2izmSLPhvcyEmyvUrQaPXwcf/mwm8vJLkGfz94HGNWFsP8+W7qqMrBbzTpovN0DkicLnJPKxmu/P2H6FlzgTKe82b94M5K1n/8gjj/D999/z+uuvk5KSwqZNFybJ6tChA9WquSfj0rhDPx6fU/BksbWbdCp0vTvZrBdGtfr5eE/S7GLVq0BX9XlFxEMiIiIIDAykdWtzkt+OHTtilGVCcCezWszv6lKwetXMu9YLS0yl5nMz4cVa1HHtxcIBHeCvY3DqfP7ri4oPYGg3c+ShiEhF5+39QW9zRUtYvw9OJ5atnYEdINBJI6RLwsd2SZ9VSTOP0tfOi3Rvbl6AXbsH/jxoZnuzHOYFf5vFTKZd1hj6dzDvAhaRglkscPPl0CUUft0Nu46bf/CzDDMBbbOCYZijAK5u6/yRZpdqEGJOAPpHFKyONJMyDoeZRPPzMWNpWMOcE61jI++8oFoZ2Kxwf2/YF2t+bg6e/vtz4zAnSg3wNbfp0wauagNVAzwdsYhrbdmyBch7h+HKlSsBs4TWpVavXk2/fv1cHpuIiFQs48ePZ/z48Z4OQ8roxi7mneqbD+a/fsqSgvdtEGLeyObMOacvFeQP4/rDe6sgISXv+sLiA7iukzmiQESkMlB/sGQCfM1zzLs/QVJa/tucS87976V6NNdgGTEpcXaJ2lXh9h4wpKt54fZ8qnlBPcgf2tT3TLZZpDxrWgtGXQ3J6ebvVHK6mfioFmDO3eLOUV1V/Mw5Dfu2MxMycYkw/w+4qyeE1oI6lfOGHK9jsZifjbYNID4Fok6ad55+swX+cbVZt1qJTakMHA4H27Zty3ci6MOHD3skJhEREfFuVgvcc6XZ3ypJScQ29c3v2lXcMJKrVjD883r49xo4ca54+1gwS+lf7eQ5sUVEvJX6g6VTuyo8fi18uhrikvKu/+iXgvft3do816gktIASZwXy84FOjT0dhUjFEeTvPeWnLBZoWdd8LPzTHG0q3ikkELr9/f4s2Wom00QqC6vVSmJiGWtMiIiISKVjtZg3A/doARv2m6PP8pvv2QJc1sQcwdW6vntLQoUEwsRBZmWS9fvMmyzzE+xvVinp1QpqurhKiYiIN1F/sPTqVIP/u968geSPKEjJKHz7prWgb1u4vJmSZnKBEmciIiIiIiIiIhVM/epwe3e4qTNsPwpnkswEmp8NggPMOaZDAj0Xn80KYU3Mx8nzsPs4LIsw113XyZyr+rLGmntaRERKLjgAbrkcbgiDiCOwcT+cToLUDPCxmiOs29SH3m3MxJnIpZQ4ExERERERERGpoPx9oWcLT0dRuHrVzMfKv8znml9GREScwc/HPAd6+3lQvI9miRERERERERERERERERFBiTMRERERERERERERERERQIkzEREREREREREREREREUBznImIiIjIJawWeOse9x9TRERERERERMTTlDgTERERkVwsFrApkSUiIiIiIiIilZBKNYqIiIiIiIiIiIiIiIigxJmIiIiIiIiIiIiIiIgIoMSZiIiIiIiIiIiIiIiICKDEmYiIiIiIiIiIiIiIiAigxJmIiIiIiIiIiIiIiIgIoMSZiIiIiIiIiIiIiIiICKDEmYiIiIiIiIiIiIiIiAgAPp4OQLzL+6sgPsV17YcEwmPXuq59ERERERERERERERGR0lLiTHKJT4EzSZ6OQkRERERERERERERExP2UOBMRERGRXAwDHIZ7j2m1gMXi3mOKiIiIiIiIiFxKiTMRERERycVhwMR57j3mW/eATYkzEREREREREfEwq6cDEBEREREREREREREREfEGSpyJiIiIiIiIiIiIiIiIoMSZiIiIiIiIiIiIiIiICKA5zsqNLAfsPg5Hz4LDAfYs8LF5OioREREREREREREREZGKQ4mzcuBsEnz0CySmQbrdXPavpTC2PzQI8WhoIiIiIiIiIiIiIiIiFYZXl2qcNm0affv2ZcKECYwePdrT4XjM52shLulC0gzgXIq53GF4Li4REREREREREREREZGKxGsTZ5s2bSI2Npa1a9cSGhpKhw4dPB2SR8QmwPnU/Nclp0PUSffGk233ulnEHNgEwKbFL5EcH+uZQERERCqIyMhIRo4cScOGDQkICKBNmza8/vrrGIZBrVq1sNlsJCUleTrMXI7tXsOM+yxs/+mDfNfHHd3JjPssbFr8knsDExERERERKWfKY59QpKLy2lKNS5YsYezYsQDYbDaSk5N58803iYuL47XXXity/6CgILKyslwdpss1bNeP6x+Zj39g9TzrUtKzuHXYaA78Md9px7vn1d1Ur9uiWNvu2zSf2AObiD2wicsGji/WPgcPHiQgwDVJ0Ac/iScgIMQlbUvF5W2fG2+Lx5s4+7XJPreIeIMFCxYwcuRI0tPT6datG1dffTW7d+9m0qRJREdHc/bsWdq3b09wcLCnQxUREREREREnU59QxLt4beIsPj4eh8NBamoqM2fOZOnSpSxevLjYWfWKcjE0MQ3eWA7n0/Kuq1bFxs9LZ1O/+mynHW/qd3CmmDcutLlyGA1aXUl6cnyx22/RogVpafn8ME7w5Dxc1rZUXN72ufG2eLyJXhupqDZu3MiIESOoWrUqK1asoF+/fgAYhsFTTz3FW2+9BUC3bt08GKWIiFREycnJTJ48mXnz5pGamsrtt99Ov379GDNmDImJiQQEBHg6RBERkQpPfUIR7+O1pRpHjBjB8OHDefDBB7HZbDRt2pQnnniCNm3aeDo0t6oaAC3rgs8l75TVAg1CoH7egWgiIiJSTmRlZTF69GgyMjJYuHBhTgcJwGKxMGXKFHx8zPucunfvDsA333xD7969qV27NgEBAbRs2ZInn3yShIQET/wIIiJSTtntdgYPHswPP/zAO++8w6JFizh06BCTJ0+mbdu2SpqJiIi4gfqEIt7Ja0echYeH89dffwEwaNAgli1bRmRkJKdPn/ZwZO53XzjM/wP2xIDDYSbNQuvAfVd5LqYOfUbl/P/K21/yWBwiIiLl2YIFC9izZw9Dhgyhf//+edYHBgbSqFEjoqOjc+4uPHv2LH369OGJJ56gZs2a7Nixg5deeokdO3bw008/uftHACAzPZnUxLg8y9NT4t0fjIiIFMuMGTOIiIhg79691K9fH4B27drRrFkzBgwY4OHoREREKoeK0icUqWi8NnGWLS4ujnr16jFkyBCGDBni6XA8wmaFe3tBeibEp0C1KlDFz9NRiYiISFktXrwYgOHDhxe4TWpqKlarla5duwLw4IMP5lrfr18/AgICGDduHCdOnKBhw4auC7gAG+Y/w4b5z7j9uCIiUjqGYfD2228zZsyYnKQZQGhoKD4+PnTu3BmHw0F4eDipqalkZWXRrl07/vOf/1CtWjUPRi4iIlKxVJQ+oUhF4/WJs9q1azN7tvPm8CrP/H2hnkozioiIVBhbtmwBLpTcuFRMTAynTp2iQ4cOBAUFFdhO7dq1AcjIyCjWcQcMGMCRI0cKXG+x+nDji3uK1RZA52sfpUW3W/IsP3/6ML/8Z0yx2mjXrh2Gw17sY5ZG/wm/EFQrlOjoaFq1GujSY3mzpk2b8uuvv3o6DBHxoMjISE6cOMHQoUNzLY+JicFut9OlSxesVisrV67MSZQ98cQTvPHGG0ydOrXQtkNDQ1UqSkrt3jeiAQgJCfVwJAVzdYzVq1cnOjraJW2LiPfxRJ+wqP6geI47+qzqDxaP1yfORERERCqqU6dOARTYAZozZw6QfycqKyuLzMxMdu3axZQpU7j55ptp1qxZsY575MgRoqKiClxvtZXsK2KNBm1p2umaPMvjju4sdhsHD0bhyHJt4qy3PROATHtmoT+/iEhFd/z4cQDq1q2ba/mqVasA6NKlC0BO0szhcJCcnExwcLD7ghQREakEPNEnLKo/KJ6jPqv3UOJMRERExEOCg4NJTU0lKioqV6ksgKNHjzJt2jSAnFr2F6tVq1bOHf2DBg3iq6++KvZxmzZtWuh6i9X9XxFbtGjp8hFnvj6+Of+2bNnSpcfyZkW9/yJS8dWqVQuAqKgo2rRpA0BycjKvvPIKDRo0oE6dOjnbXnPNNURERNCpUyfeeuutItvWSBkpi2cWmP/Gx8d7NI7ClIcYRaT88ESfUP0B7+WOPqve/+JR4kxERETEQ8LDw1myZAmvvvoq33zzDX5+5iSmkZGR3HrrrTkXZPK7u3DNmjWkpKSwc+dOXnnlFYYMGcKqVauw2WxFHreosgxZDpg4r+Q/T1ns2bMHm9W1x3jlO4hLMsuIHThwwLUHExHxYp06dSI0NJSJEydit9ux2+1Mnz6dxMTEnPlTsv38889kZWUxadIkPvroI55++mkPRS0iIlLxeKJPqDJ93kt9Vu/h4ssTIiIiIlKQyZMn4+vry/Lly2nbti133XUXAwYM4LLLLqNXr15Uq1YNm82WUzLrYl26dOGqq65i7NixfPvtt6xevZpvv/3W/T+EiIiUO35+fixatIgqVaowbNgwpkyZwvPPP09ISEi+5xybzcaoUaP44osv3B+siIhIBaY+oYh3UuJMRERExEN69OjBqlWrCA8PJzY2lpUrV+JwOJg7dy6TJ0/m/PnztG/fnsDAwELb6dKlC1arVXekiYhIsXXv3p2tW7eSkpLCtm3bGDBgAPv27aNz584AxMXFERcXB4BhGCxatIhOnTp5MmQREZEKR31CEe+kUo0iIiIiHtS3b1/Wr1+fZ/m8eWatxPxq2V9q48aNOBwOWrRo4fT4RESkctixYwcOhyPnjvaTJ08ycuRIMjMzMQyDjh078t5773k2SBERkQpIfUIR76PEmeQSUvjNC17fvoiISEWxefNmIG8t++uvv56BAwfSsWNHAgICiIiI4I033iAsLIyhQ4e6NcbGHfrx+ByjwPW1m3QqdL2IiHiPiIgIAgMDad26NQAdO3Zk69atHo5KRESk8ioPfUKRikqJM8nlsWs9HYGIiIgAbNmyBch7d2HPnj2ZM2cOhw4dAqBZs2aMHz+eJ554ImciaRERkZIaP34848eP93QYIiIi8jf1CUU8R4kzERERES/jcDjYtm1bvpNAT506lalTp3omMBEREREREXE59QlFPEuJMxEREREvY7VaSUxM9HQYIiIiIiIi4gHqE4p4ltXTAYiIiIiIiIiIiIiIiIh4AyXORERERERERERERERERFDiTERERERERERERERERARQ4kxEREREREREREREREQEAB9PByAiIiIi3sVqgbfucf8xRUREREREREQ8TYkzEREREcnFYgGbElkiIiIiIiIiUgmpVKOIiIiIiIiIiIiIiIgISpyJiIiIiIiIiIiIiIiIACrVKCJSqby/CuJTXNN2SCA8dq1r2hYRERERERERERFxByXOREQqkfgUOJPk6ShEREREREREREREvJNKNYqIiIiIiIiIiIiIiIigEWdSzp1LhvX74Ugc2B3w4c/QvA6Et4bqgZ6OTqRoGXaIOAIR0ZCcbn6O5/4OV7WGZrXBYvF0hCIiIiIiIiIiIiKVhxJnUi4dOwvf/Q8Ox4HDgCyHuXz/STh0GlZHQsu6cHNXaFjDs7GK5CctE5ZHwJ8Hzefp9gvrNh+CHUch2B9uCIPuLTwSooiIiIiIiIiIiEilo8SZlDs7j8EXG8yROvmx/51E2xNjJtH+0QfaNXBffCJFSUiB91aZ/2Z/Xi+VbjcfCzabn+M7emr0mYiIiIiIiIiIiIiraY4zKVeiTsIX6wtOml0q3Q7/XWeOTBPxBmmZZtLsXHLBSbOLZdhh82H4fpvLQxMRERERERERERGp9JQ4k3LD4YCZ6yEjK//104flvzzDDrN+A8NwXWxSfrn7c/HDdnOkmaOA4+b3Oc6wm3P5HT/n2ti8mX5/RURERERERERExB2UOJNyIzIG7AUkzQCshZSxS82AAyedH5OUT/Ys+HYrvPQtZBnwr6Ww9ZDrj5thhz+iCh9pVtDnODML1kS6Ji5vFnkCpi+HF781X7evNpqj9kRERERERERERERcwasTZ9OmTaNv375MmDCB0aNHezoc8bBfdpX+gnm6HX7e7dx4pPz69xrYsA/iU8znpxNh0Rb4ba9rjxtxpPT7Goa5f2qG8+LxdruOwZzfISYezqeay7YcgvdXmSNQRURERERERERERJzNaxNnmzZtIjY2lrVr1xIaGkqHDh08HZJ4kGGUfZ6yKI04E+DoWbPk4aWjvlIz4JfdkOXChMz2I2YSt7RsVjh02nnxFGb3ulnEHNgEwKbFL5EcH+ueA1/ku22QnJ57mcOAuET465jbwxEREREREREREZFKwGsTZ0uWLGHs2LEA2Gw2OnTowOLFi3nsscc8HJl4QrodrGX8tDoM1yZFpHzYfSxvMiabPQviklx37KQCjltchgEpbhxxtm/TfLateJfYvxNo7pRuh7QCftZ0O+w46t54REREREREREREpHLw8XQABYmPj8fhcJCamsrMmTN57733sFgsVK9evVj7BwUFkZVVyIRYUq7YfPwZ/eEpbD7+OcumD8s9H5SPFd64O/d+DgMmzTf/b7fbCQqqamYfpNLq2H8c4Xe/idXHN8+6kydj6NAmnOT4Ey459s1P/0TDtn1ynl/6GYa8n+OLP8PnzycwcsRDHNzyTaljuOfV3VSv26JY27a5chgNWl1JenJ8sbY/ePAgAQHOGR1stfkw/PX9BIU0yHf9zM8+YMzAJ8t0DJvNRnJycpnaEBHvl5AKmw5ARDSc+ftX/kwyvPEDdGsGPVtAcIBHQxQREREv5zBgbwycOGfOPw3mHNRtG0CDEI+GJiIi5Vx8Cvy+37xJ/OI+65s/Qvfm0LM5BPoX3oY4n9cmzkaMGMHw4cMJCwvDZrMRERGBYRj8+eefxMbGUr9+/UL318XQiufp+ZBxUZm77GRCtjfuhqe+Lnj/4Co+pKWmuiY4KTeS0+G1ZZCYlnddm+YNOBN70GXH/mojbD4I2anbSz/DUPjnuHr16iz/9iua1yl9DFO/gzMuGlXXokUL0tLyeWFL6ZNfYU9M3uVB/jDvvUepN+tRpx1LRCqeo2fMErw7jpoXuy5mGGbZ3uPn4Ift0DUUBnTQhS8RERHJLTkd/oiCDfvz9qOW/M/8t2VdCG8NYU3Ax+b+GEVEpHw6dBpWR5rTkVw6zsMw4NhZ87E8wrzpc0AHqFvNE5FWTl6bOAsPD+evv/4CYNCgQTz++OMAxMXFFZk0k4qpR3PYeCDvxa/isFnhypbOj0nKnyB/GNzZPOlkl060WaBqFbi/t2uPfVXrss1z5meD0NrOjakgHfqMyvn/lbe/5J6DXuLeXvDeT+adN9lz0gX5Q3gbqKcvCiJSiP8dhrkbi1ei2e6AzYdg+1EY1Rs6NHJ5eCIiIlIO/HUUvthwYYRZQaJOmY86VWFsP6ijvoqIiBRhUxQs+KN417kzs8ztI47AA32gtVIjbuG1c5xli4uLo169ejnPX3nlFQ9GI57Ut52ZACsNqwWubuvceKT86tUKHr/eTGS1awA3dIZJN7r+ro3QWlC1lOXAfG3Qr33e0o4VWbUq8PSNMPRy833q0RweHgiDwzwdmYhrREZGMnLkSBo2bEhAQABt2rTh9ddfxzAMatWqhc1mIynJhRMxVhBbDpkXuUo6r2mGHT5fC7uOuSYuERERKT/+iIL/rCs6aXax04nw7k9mOUcRkZJSf7Dy2LAPvt5U8sEhaZnwyWrYF+uauCQ3rx1xlq127drMnj3b02GIF6hbDZrXMe/kyu9iWEF/bHys0KY+1AhybXxSvtSpCnf1dO8xLRa4IQzm/5m77OjFCvscX1EJR036+UDvtuZDpCJbsGABI0eOJD09nW7dunH11Veze/duJk2aRHR0NGfPnqV9+/YEBwd7OlSvFnUS5m0qeP3DA83vA+eS4aNf8q53GDB7PUy4DhrXdF2cIiIi4r12H4ev/yh4/f8bav47ZUnedcnp8Olq+OcgCAl0RXQiUhGpP1h5RJ6ARVsKXl9UnzXLAf9dB/+8HupVd12cUg5GnIlcbNTVUL1K/iPP8psvymY1/9iMDHd9bCLF0e3vST39Cqh9n9/n2M8HxvY3yxSKSMWzceNGRowYQXBwMKtXr2bLli3Mnz+fHTt2MHHiRD766CMAunXr5uFIvd8POwofaVYjyLxxorCbaTKy4Kedzo9NRMQbJScn8/jjj1O3bl2qVq3KqFGjmDVrFr6+vk6du1akuAwj7zwv7pTlgAV/Fh5DFV/zUZCEVFi+3fmxiUjFpP5g5WEYsCyi8HNMcfqsaZmwapfTw5NLKHEm5UqgHzwxyJzfyL+I8ZL+PtCohnmnl38hX2pF3O32HtCnrZk8sxRSetHXZnbIHhpgjrYUkYonKyuL0aNHk5GRwcKFC+nXr1/OOovFwpQpU/DxMU943bt3z7N/UlISjRs3xmKxsGVLIbetVQIx8eaodGf465g5v6KISEVmt9sZPHgwP/zwA++88w6LFi3i0KFDTJ48mbZt2xIQUMoa4yKlEBNvllpOt5uPV76DdXtLXnq5rHYdd853gG2HzdFnIiKFUX+wcok+A8edVM53WzQk6R4nl/L6Uo0ilwoOgIk3mF9of9llfsG2Ws1svcVifrFuXBOu6QDtG5rrRLyJxQI3dYXLm8GaPebJzpb9GQawmKPM+rczyzMGaqSZSIW1YMEC9uzZw5AhQ+jfv3+e9YGBgTRq1Ijo6Oh87zB86aWXsNsLqP1ayWzY57y2DAN+3w+DOzuvTRERbzNjxgwiIiLYu3cv9eubs8y3a9eOZs2aMWDAAA9HJ5XJwVNmOaqLy9bHJcE3W+DASRjV2339emd9n7A7zHnSBnRwTnsiUjGpP1i5rHdinzXr7/PMwI7Oa1NyU+JMyiWbFcKamI/TiXAywRymGuALDUKglkr+SjnQsAbc2wtu6w6HTkNKhjmXWfVAaFoLrIWMRhORimHx4sUADB8+vMBtUlNTsVqtdO3aNdfynTt38sknn/D2228zbtw4l8bp7RwGbD7k3DY3H1TiTEQqLsMwePvttxkzZkxO0gwgNDQUHx8fOnfO/QdwzJgxfP755xierKEnFZLDgC9/Ny8A5vfp2nEU/hcN3Zu7PpZzybA31nntbVLiTESKoP5g5ZFhN2+cd6bNh5Q4cyUlzqTcq1PVfIiUVwG+5uhIEal8sstp5Fd2AyAmJoZTp07RoUMHgoJyFzl/5JFHePTRR2nTpo3L4/R2aZlmWSdnik81L+bpJgYRqYgiIyM5ceIEQ4cOzbU8JiYGu91Oly5dcpb9/PPPZGZmujdAqTQOnDQTVgWxABv2uydxdjbJu9sTkYpH/cHKIznd+eWHNb2AaylxJiIiIuIhp06Zk3Jd2gnKNmfOHCBvR+rLL7/kwIEDLF++vFS17AcMGMCRI0dKvJ+3qlK9IQOfWJdr2cMD806oXDPowr/P3Zy3nXPJZqkoMMs1tu/YmayMQq7mlVNNmzbl119/9XQYIuJBx48fB6Bu3bq5lq9atQogJ3GWnJzMc889xw8//MDs2bOL1XZoaCgJCQnOC1YqtDbh93PVvTMKXG8Auw+eJiSktctjadzpeq55aH6uZf9vqDnv9MUC/n7+6p25l6dmwpQlF57bHVCzdl0c9owSxVG9enWio508LEFEvJL6g5VH1bqt6fvIj7mWlbXPmpYJrVq1KnEs6g8WjxJnIiKVSEhg+WxbpKIKDg4mNTWVqKioXKWyAI4ePcq0adMActWzT0hI4KmnnuKtt94iOLh0tYmPHDlCVFRU6QP3MlWqJjDwkmU1ggoekW6zFm+0+v49OzEMJ98WKCLiBWrVqgVAVFRUzp3qycnJvPLKKzRo0IA6deoA8Oyzz/L444/nbC/ibOkp5wpdbxgO0pPOuiUWe0aqU9tzZNlLnDQTkcpF/cHKo9p5B30vWVbWPmtmWrLeRxdS4kxEpBJ57FpPRyAiFwsPD2fJkiW8+uqrfPPNN/j5+QFmCa1bb72V+Ph4IPcdhs8//zytW7cutA5+UZo2bVqmuL2NxWrDcGRhsdpyluVX9qlmkNkByXLA2XzWX7xPRmoCLVq4oS6UB1S0919ESq5Tp06EhoYyceJE7HY7drud6dOnk5iYmDOHyoYNG4iKiuK9994rUdsaKSMlkWGHFxYXXHLZarEy4oa2zHoy3uWxxMTD9OW5l108gixb9kizZxcW3l5IsE/OdzkRkfyoP1h5+PjnTXKWtc9qT0ugZcuWJY5F73/xKHEmIiIi4iGTJ09m+fLlLF++nLZt29KjRw/i4uJYt24dI0aMICYmhuTk5JySWbt27eKTTz5h1apVOZ2opKSknH8TExOpWrXooVQVsSzD52th57ELz7PLV1zsuZvNu/bOJsO/lhbeXu+O1fnowAHnBiki4iX8/PxYtGgR48aNY9iwYbRt25apU6fy1FNP5ZxzfvvtN7Zt20azZs1y9mvWrBmbNm3Kc1e8SGn5+cCQrrBoc951Vot5N34v11dpBKB+dahXDU6ed057XXRdUkSKoP5g5fLhz7D/5IXnZe2zXndFQz5Vn9VlrJ4OQERERKSy6tGjB6tWrSI8PJzY2FhWrlyJw+Fg7ty5TJ48mfPnz9O+fXsCA81aqPv378dut9O/f39q1KhBjRo1GDJkCAD9+/fn6quv9uSP41HhTr6o1ltzbItIBde9e3e2bt1KSkoK27ZtY8CAAezbt4/OnTsD8Mwzz3DixAkOHz7M4cOHATh8+LCSZuJ0vdvA3VdC1YALyyxAh0bw+HUQ6OeeOCwW557/w/VdQkSKoP5g5eLs84Kz+8CSm0aciYiIiHhQ3759Wb9+fZ7l8+bNA3LXs+/duzerV6/OtV1ERAT//Oc/+eSTT3JtW9m0bQC1gyEuqextNa1lPkREKpMdO3bgcDhy7moXcacrW0KP5nDkjFm2sX51z8yh3L05fB9hlpAsizb1zdFrIiJFUX+w8risMVSrAuedMKVm63rmuVJcR4kzERERES+0ebNZs+jieva1a9emX79++W7frVu3XNtWNlYLDOwI8/8oe1sDO5S9DRGR8iYiIoLAwEBat87/9mXDMNwckVQ2Nis0r+PZGKr4wbUdYfn2grdJzSy8DZsFBl3m3LhEpPJRf7DisVmhf3v47n9lb2uA+qwup1KNIiIiIl5oy5YtALprsASubFl4iaVzyXA6Mf9JmLNdfxl01pwkIlIJjR8/nuTkZKxWXSaQyu2ajtCzRcHrpywxHwW5pxe0qOvsqESkslF/sGLq184cYV2Q4vRZb+4K7Rs6PzbJzWLotjERERERr+JwOKhevTqpqakkJiZSpUoVT4dUbjgcsGgL/L6/5PsO7AA3dTHnOBEREZHKy+GA77bB2j3F38fHCveFQxfdgCMiZaT+YMVmz4Kv/4Ath0q+7+AwuLaT+qzuoMSZiIiIiFQohgG/7YOfdxWvfnyNILOk0hUtXR+biIiIlB+7j8P6fbD7RMHb+NrMudH6tIUGIW4LTUREyjHDgNWR8OtuSEovevvawTC4M1zezOWhyd+UOBMRERGRCinLAX8dhfX74cDJvOvbNTBLO3ZoCKpMJiIiIgWJS4SNB+D4OUjJMOepCfSDtg3MkltV/DwdoYiIlEf2LNh+xOyzHjqde50F6NDI7LO2bWDO6y3uo8SZiIiIiFR4iWmQlAbpdgjwhWB/CA7wdFQiIiIiIiIiZrWU5PQLfdaqARDk7+moKi8lzkREREREREREREREREQAFaURERERERERERERERERQYkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERQIkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERQIkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERQIkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERQIkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERQIkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERQIkzEREREREREREREREREUCJMxERERERERERERERERFAiTMRERERERERERERERERAP4/VK+uzN0LtyEAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -468,9 +468,9 @@ ], "source": [ "fig, axs = plt.subplots(2, 4, figsize=(18,5), constrained_layout=True)\n", - "for qc,is_svr,ax in zip(qc_list, srv_list, axs.flatten()): \n", + "for qc,is_srv,ax in zip(qc_list, srv_list, axs.flatten()): \n", " qc.draw(\"mpl\", plot_barriers=False, ax=ax, style = \"clifford\")\n", - " ax.set_title(f\"{'Correct' if is_svr==srv else 'NOT correct'}, is SRV = {is_svr}\")\n", + " ax.set_title(f\"{'Correct' if is_srv==srv else 'NOT correct'}, is SRV = {is_srv}\")\n", "plt.show()" ] }, @@ -491,7 +491,202 @@ }, "widgets": { "application/vnd.jupyter.widget-state+json": { - "state": {}, + "state": { + "07debdc74c3542b0bc147c34d82c897a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "09aa649213da460c8f7322fc95c63e6c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "09d8992ed5a247849e94866dcbc18c0e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "203ad6167bbf472d83f5ba93b9baf0de": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_ec6f6e0e6aba4775b38fc462397159f2", + "IPY_MODEL_64daffce9e52494d84dd0a3f7fe50c69", + "IPY_MODEL_9ad3a327022d4f11a19c21da917548a9" + ], + "layout": "IPY_MODEL_ec77641e17ba4169a0bcbfd8d4340cee" + } + }, + "34ac9476f056432a8f17c52dc39044a1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "3d170fb35b80402f881e60d36b9a4aaa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "5082c9ff9f0a4790a3d92206e86541ba": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "64daffce9e52494d84dd0a3f7fe50c69": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_34ac9476f056432a8f17c52dc39044a1", + "max": 20, + "style": "IPY_MODEL_09d8992ed5a247849e94866dcbc18c0e", + "value": 20 + } + }, + "65d08bdc913541fcb2a9ea45be412600": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "96c07cc3bc6e4876b28bee58009a8bb4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9ad3a327022d4f11a19c21da917548a9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_fe286977009e4b11a449b5d145e61cb9", + "style": "IPY_MODEL_65d08bdc913541fcb2a9ea45be412600", + "value": " 20/20 [00:00<00:00, 56.27it/s]" + } + }, + "9f6ffb0960fb4e0397fbe755433bc717": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_07debdc74c3542b0bc147c34d82c897a", + "max": 20, + "style": "IPY_MODEL_5082c9ff9f0a4790a3d92206e86541ba", + "value": 20 + } + }, + "a4c23241980f43c8903a3d5b77b804c6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_e1ffcd51465d44599a0e30f05511894a", + "style": "IPY_MODEL_b49f0fdf09214e618e7c62cb91862ef6", + "value": "100%" + } + }, + "b49f0fdf09214e618e7c62cb91862ef6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "b80c4ed69216421287d51bc94e954007": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d059e74336004fcf846e49c1b208f781": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_09aa649213da460c8f7322fc95c63e6c", + "style": "IPY_MODEL_fa7a58f8cb7d4d4fb6a06787f95e441d", + "value": " 20/20 [00:00<00:00, 36.56it/s]" + } + }, + "e1ffcd51465d44599a0e30f05511894a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ec6f6e0e6aba4775b38fc462397159f2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_96c07cc3bc6e4876b28bee58009a8bb4", + "style": "IPY_MODEL_3d170fb35b80402f881e60d36b9a4aaa", + "value": "100%" + } + }, + "ec77641e17ba4169a0bcbfd8d4340cee": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "edf9e80ec0da4959b6aea3c06f6996e9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_a4c23241980f43c8903a3d5b77b804c6", + "IPY_MODEL_9f6ffb0960fb4e0397fbe755433bc717", + "IPY_MODEL_d059e74336004fcf846e49c1b208f781" + ], + "layout": "IPY_MODEL_b80c4ed69216421287d51bc94e954007" + } + }, + "fa7a58f8cb7d4d4fb6a06787f95e441d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "fe286977009e4b11a449b5d145e61cb9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + } + }, "version_major": 2, "version_minor": 0 } diff --git a/src/examples/1_editing_and_masking.ipynb b/src/examples/1_editing_and_masking.ipynb index 596dc11..f5702f6 100644 --- a/src/examples/1_editing_and_masking.ipynb +++ b/src/examples/1_editing_and_masking.ipynb @@ -149,9 +149,9 @@ }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAATEAAAFvCAYAAAAi4fzvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgJElEQVR4nO3df1DU973v8ecCKiAQBWzWBPyBgBHkRyrBkJMmwaOdeI22njY1rdr0jp167y2j7bFu2mTSmLnn1JBwTm+sd+6YTnt7ejuXQxOT2wSa/jghTSitLUhJjVI1JhgX2CQbIfwQogt7/9hqpC4/dtkffL68HjOMI98f+46Gp9/97ne/a/N6vV5ERAwVE+0BRESmQhETEaMpYiJiNEVMRIymiImI0RQxETGaIiYiRlPERMRoipiIGE0RExGjKWIiYjRFTESMpoiJiNEUMRExmiImIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNEVMRIymiImI0RQxETGaIiYiRlPERMRoipiIGE0RExGjKWIiYjRFTESMpoiJiNEUMRExmiImIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNEVMRIw2IyLmdrtxOBxkZ2cTHx9PZmYmu3fvZmBggB07dmCz2Th48GC0xxSRIMRFe4Bwa21tZf369bhcLubOnUteXh6dnZ0cOHCAM2fOcP78eQCKi4ujO6iIBMXm9Xq90R4iXNxuNzfffDNOp5M9e/bwyCOPkJycDMDjjz/OAw88QFxcHMPDw/T09JCSkhLliUUkUJaO2Be+8AWqq6upqKjge9/73jXLi4uLee2111i6dClvvvlmFCYUkamy7DmxtrY2ampqSE9PZ//+/X7XWbVqFQBFRUWjvv/WW2+xadMmkpOTmT9/Pl/84hd5//33wz6ziATOshGrrq5mZGSErVu3kpSU5HedhIQEYHTE+vr6KC8vx+l0Ul1dzVNPPUVDQwP33HMPIyMjEZldRCbPsif26+vrASgvLx9zHafTCYyO2FNPPUVHRwevvvoqixYtAiAjI4PbbruN559/nk9/+tPhG1pEAmbZiJ09exaAxYsX+13u8XhobGwERkestraW22+//UrAAMrKysjKyuKFF14IKmIlJSW4XK6AtxOZKex2O83NzUFta9mIDQwMADA4OOh3eU1NDW63m+TkZJYuXXrl+ydOnODee++9Zv38/HxOnDgR1Cwul4uOjo6gthWR8Vk2Yna7ne7ublpaWigrKxu1rKuri7179wJQWFiIzWa7sqy7u5t58+Zds7/U1FROnjwZ9CwiMrap/IxYNmJr166lra2NyspK1q1bR25uLgBNTU1s374dt9sNROYi12APk0VkYpZ9ddLhcJCWlsa5c+fIz8+noKCAnJwcSktLycrKYs2aNcC1l1fMnz+fnp6ea/Z3/vx5UlNTIzG6iATAshHLyMigoaGBDRs2EB8fT3t7O6mpqRw6dIi6ujpOnToFXBuxFStW+D33deLECVasWBGR2UVk8ix9xf5Y+vv7SUlJwWaz0dfXR2Ji4pVlVVVVPPjgg7z55ptkZGQA8Ic//IFbb72VZ599ls2bN0drbBHxY0ZG7HKUli9fzl/+8pdRy3p7eykoKCA9PZ1HH32UoaEhHA4HCxYs4Pe//z0xMZY9eBUx0oz8iTx27Bhw7VNJgJSUFOrr61m4cCH33XcfX/7yl7ntttuora1VwESmIcu+Ojme8SIGsGzZMmprayM5kogEaUYeWkwUMRExx4w8JyYi1jEjj8RExDoUMRExmiImIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNEVMRIymiImI0RQxETGaIiYiRlPERMRoipiIGE0RExGjKWIiYjRFTESMpoiJiNEUMRExmiImIkZTxETEaIqYiBhNERMRo8VFewDxz+uFi8PRnmLyZseCzRbtKWQmUsSmqYvD8EBNtKeYvMotMEf/N0kU6OmkiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNEVMRIymiImI0WZExNxuNw6Hg+zsbOLj48nMzGT37t0MDAywY8cObDYbBw8ejPaYIhIEy0estbWVgoICnnjiCVwuF3l5eVy6dIkDBw6wZcsW2traACguLo7uoGHiPPEbntxm42hd1ZjrPLnNxs+q7ongVCKhY+mIud1uNm7ciMvlYs+ePXR1ddHS0oLL5aKyspK6ujqampqw2WwUFhZGe1wRCYKlI7Zr1y6cTicVFRVUVVWRnJx8ZZnD4aCoqAiPx8OSJUtISUmJ4qQiEizLRqytrY2amhrS09PZv3+/33VWrVoFQFFR0ZXvXY5eaWkpc+bMwaZ7LotMa5a9oXB1dTUjIyNs3bqVpKQkv+skJCQAoyP2xhtvcPjwYW655RZmz55NY2NjROYNN8/FCwz2uaM9hkjIWTZi9fX1AJSXl4+5jtPpBEZH7I477qCrqwuAffv2WSZiRw4/wpHDj0R7DJGQs2zEzp49C8DixYv9Lvd4PFcCdXXEYmJC/wy7pKQEl8sV0DaxsxLY/E+nQzbDyvKvkLP6Xr/Lnnts3ZT3n5uTw/ClwSnvR2Ymu91Oc3NzUNtaNmIDAwMADA76/8GqqanB7XaTnJzM0qVLwzqLy+Wio6MjoG3i5iSGdIZ59hwWrVwb0n1erbOrE8+HF8K2f5GxWDZidrud7u5uWlpaKCsrG7Wsq6uLvXv3AlBYWBj2k/d2uz3gbWJnJYRhkvC5YeENOhKToAXzM3KZZSO2du1a2traqKysZN26deTm5gLQ1NTE9u3bcbt9J7kjcZFrMIfJH3rM+tzJU6dP63MnJSose4mFw+EgLS2Nc+fOkZ+fT0FBATk5OZSWlpKVlcWaNWuA0efDRMQ8lo1YRkYGDQ0NbNiwgfj4eNrb20lNTeXQoUPU1dVx6tQpQBETMZ2lnwCsWLGC2traa77f399Pe3s7MTExrFy5MgqTiUioWDpiYzl+/Dher5fc3FwSE699FfCZZ54B4MSJE6N+v2TJEkpKSiI3aAhk5N3F7p94x11nouUi09mMjNixY8eAsZ9K3nvvvX5/f//99/OjH/0orLOJSGAUMT+8Xh2ZiJjCsif2xzNRxETEHDPySOzy+ypFxHwz8khMRKxDERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNJtXt2yYlrxeuDgc7Skmb3Ys6MPSJRoUMRExmp5OiojRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNEVMRIymiImI0RQxETGaIiYiRlPERMRoipiIGE0RExGjKWIiYjRFTESMpoiJiNEUMRExWly0BxCRa5n2GQsQvc9ZUMREpqGLw/BATbSnCEzlFpgThaLo6aSIGE0RExGjKWIiYjRFTESMphP7YnkXPdDRDe/2wqVhsAHxs2DhPLj+OojVP+VGU8TEkvqG4Mgb0HIW3vkARsb4nPtZsbAoDVYvg+JFMFs/EcbRX5lYygeDUPsnX7yGRyZe/9IwnHnX9/X/jsInlsPafF/cxAyKmFiC1wtH2+HZZrhwMbh9XLgIvzwGr70Nn78VFqeHdEQJE50NEOMNj0D1EfjJ74IP2NVcH8D/+BU0npr6viT8dCQmRhsZgf/TCK1vh3a/Xi883QSeEbjzptDuW0JLR2JitOdaQh+wUfs/Cn86G779y9TpSEyMdbILGk4Gts0/3g0pCdA7CP/6i8lt8/QfIetjcF1C4DNK+OlITIw0dAn+/Ujg26UkwLxE36+TdeGiL2TeMS7TkOiaERFzu904HA6ys7OJj48nMzOT3bt3MzAwwI4dO7DZbBw8eDDaY0oAXj0J3Rci93ivO+HNdyP3eKHiPPEbntxm42hd1ZjrPLnNxs+q7ongVKFl+aeTra2trF+/HpfLxdy5c8nLy6Ozs5MDBw5w5swZzp8/D0BxcXF0B5VJGx6B352O/OP+9jQsuz7yjyvjs/SRmNvtZuPGjbhcLvbs2UNXVxctLS24XC4qKyupq6ujqakJm81GYWFhtMeVSTrRAT0RPAq77M/nfOfSZHqxdMR27dqF0+mkoqKCqqoqkpOTryxzOBwUFRXh8XhYsmQJKSkpUZxUAnG8IzqPOzziezFBphfLRqytrY2amhrS09PZv3+/33VWrVoFQFFR0ZXvPfPMM3zmM59h8eLFJCYmctNNN/HQQw/R398fkbllYs7z0Xvsc1F87KnwXLzAYJ/b75fpLHtOrLq6mpGREbZu3UpSUpLfdRISfC9RXR2xqqoqFi1axHe+8x0yMjJobW3l0Ucf5ZVXXuHVV18lJsay3TeCZxi6Poje40czoFNx5PAjHDn8SLTHCAvLRqy+vh6A8vLyMddxOp3A6Ii98MILLFiw4Mrv77zzThYsWMDWrVv57W9/yx133BGmiWUyegcn98bucOkeiN5jT8XK8q+Qs/pev8uee2xdhKcJLctG7OxZ32XWixcv9rvc4/HQ2NgIjI7Y1QG7rKSkBICOjuBOxpSUlOByuYLaVkZLSl/K3Xsbxlx++WLWsaTEf/Trvs1jrzfWxbBd77xHRsbNk5w2eLGzEtj8T6F7CXaePYdFK9eGbH/+5ObkMHwpuFc+7HY7zc3NQW1r2YgNDPj+yRwc9P+HWlNTg9vtJjk5maVLl467r5dffhmAFStWBDWLy+UKOoAyWsrFWeMv/+vFrBOJiZncen/r0sWhiPxdxs0JYrgo6+zqxPNh5F82tmzE7HY73d3dtLS0UFZWNmpZV1cXe/fuBaCwsBDbOB+W19HRwcMPP8zdd98d9LVkdrs9qO3kWnGzZ4+7fKJLIFLifQEbGYHeocD34xnq4cYbb5xgyqmLnWXee5xuWHjDlI7EgmXZiK1du5a2tjYqKytZt24dubm5ADQ1NbF9+3bcbt+rMuOFqb+/n0996lPMnj2bH/7wh0HPEuxhsvj3z8/De33+l030fsh9m31HYL1DsO+5wB97/R0F/JvDGfiGAfrQY97nTp46fVqfOxlKDoeDtLQ0zp07R35+PgUFBeTk5FBaWkpWVhZr1qwBRp8Pu9rg4CAbN27krbfe4le/+hULFy6M5PgyjszUmfnY4p9lI5aRkUFDQwMbNmwgPj6e9vZ2UlNTOXToEHV1dZw65bvjnb+IXbp0ic9+9rM0Nzfz4osvkpeXF+nxZRw5UXx2nq23HU07ln06Cb4T8bW1tdd8v7+/n/b2dmJiYli5cuWoZZevLXvppZf4+c9/TmlpaaTGlUn6+GLf/fA/9ET2cbOv9306kkky8u5i90/Gv/3GRMunO0tHbCzHjx/H6/WSm5tLYuLoV4G++tWv8vTTT/PNb36TxMREjhz56H4vy5Yt83sJhkTWnFlQmgUNEb599O05kX08mRzLPp0cz7FjxwD/TyVffPFFAB577DHKyspGfdXV1UV0ThnbXSsi+/FqN8yDgszIPZ5M3ow8EhsvYu3t7RGeRoKRlgSbboZnmsL/WDE2+EKZPmR3upqRfy3jRUzMcVsO5AZ4kr930Hcbn0BuqbNuJWToVclpy+b16qa7Yq4LH8LB/4DOnvDsv2Sp7ygsZuzrocPCxOvEKreg68REApU4B/7b34fn+q3SLN+H6EY6YBIYRUyMlxQPFevgE7mh2d/sOPjsLXDfrToPZoIZeWJfrGdOHHzmFihc5Ptkond7g9vP8oXwuVLfCwdiBkVMLCXnevjmPXDKBb895buV9URnfefE+c59/V0O3DA/MnNK6ChiYjkxNrhpoe9r6BJ0dMO59+GdXmh+Cy4Nw+xY2FziO5dmvw7iYqM9tQRLERNLi58Fyz7m+wLfJyV9MAgJs6EsO7qzSWjotKWIGE0RExGjKWIiYjRFTESMpoiJiNH06qTINDQ71vdeRJPMjtJlKoqYyDRks0XnzdQm0tNJETGaIiYiRlPERMRoipiIGE0RExGjKWIiYjRFTESMpoiJiNEUMRExmiImIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZruHTlNeb1wcTjaU0ze7Fjf3UhFIk0Rm6YuDsMDNdGeYvIqt+h2yhIdejopIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJitBkRMbfbjcPhIDs7m/j4eDIzM9m9ezcDAwPs2LEDm83GwYMHoz2mSFh1D0BbJ/z5HJx5F4ZHoj1RaFj+5imtra2sX78el8vF3LlzycvLo7OzkwMHDnDmzBnOnz8PQHFxcXQHDRPnid9w+Dvl3P75J1i14Rt+13lym40lxRv41DdqIzydREJbJzSc9P3qver7KQlQlg2350ByQtTGmzJLH4m53W42btyIy+Viz549dHV10dLSgsvlorKykrq6OpqamrDZbBQWFkZ7XJGQ8nrhuaNw6GU48TcBA+gdhF8eg6oXoaM7KiOGhKUjtmvXLpxOJxUVFVRVVZGcnHxlmcPhoKioCI/Hw5IlS0hJSYnipCKh9/PX4JW/TLzeB4Pwv+rh/f7wzxQOlo1YW1sbNTU1pKens3//fr/rrFq1CoCioqIr32toaGDt2rUsXLiQOXPmkJGRwZYtW2hra4vI3CKh4O6DXx+f/Pr9Q1DXGrZxwsqy58Sqq6sZGRlh69atJCUl+V0nIcF3IuDqiHV3d1NQUMDOnTv52Mc+htPpZP/+/ZSVlfH666+TkZERkflDzXPxAoN97miPIRHSeDrwbV47B32D5p0fs2zE6uvrASgvLx9zHafTCYyO2KZNm9i0adOo9W655RaWL1/O4cOH2b17dximDb8jhx/hyOFHoj2GRMgf3wx8m+EROHoW7rop9POEk2UjdvbsWQAWL17sd7nH46GxsREYHTF/0tLSAIiLC+6Pq6SkBJfLFdA2sbMS2PxPQfxzOoaV5V8hZ/W9fpc999i6Ke8/NyeH4UuDU95PuP2nB5tIvG4hXa4uMjJuifY4YRETN4d/+OczQW37+HcPsa3uv4d4oonZ7Xaam5uD2tayERsYGABgcND/D1ZNTQ1ut5vk5GSWLl16zfLh4WFGRkY4e/Ys3/rWt7Db7Xzuc58LahaXy0VHR0dA28TNSQzqscYyz57DopVrQ7rPq3V2deL58ELY9h8qw8PDV34N9O/EFLFxs4Petq+vz7g/F8tGzG63093dTUtLC2VlZaOWdXV1sXfvXgAKCwux+fnAxDvvvPPKkVp2djb19fUsWLAg6FkCFTvLrBMTNyy8wYgjsdjY2Cu/3njjjVGeJnyG+t3EJ6UHvF3scF9U/lyC+Rm5zLIRW7t2LW1tbVRWVrJu3Tpyc3MBaGpqYvv27bjdvpPcY13k+oMf/ICenh7eeustnnjiCT75yU/S2NjIokWLAp4lmMPkDz1mfe7kqdOnjfjcyUee9V1SsNC+8Mo5USt6/k9QfyKwbWJj4IV/e5Tk+EfDM1SYWPYSC4fDQVpaGufOnSM/P5+CggJycnIoLS0lKyuLNWvWAGOfD1u+fDmrV6/mvvvu46WXXqKvr4/HH388kv8JIkG7LRsC/UD24kWQHB+WccLKshHLyMigoaGBDRs2EB8fT3t7O6mpqRw6dIi6ujpOnToFTHxSH2DevHlkZ2fzxhtvhHtskZBIT4ZPFkx+/ZR42DDxj8K0ZMATgOCtWLGC2tpr3w/Y399Pe3s7MTExrFy5csL9vPvuu5w8eZLVq1eHY0yRsLi7ADzD8NIETyvnJcLOckj1fznltGfpiI3l+PHjeL1ecnNzSUwc/Srgtm3byM7Opri4mHnz5nH69Gm++93vEhcXx9e//vUoTRy8jLy72P2Tv33X3GgTLRcz2Wyw8WZYvtD3BvDXO3zvp7xsXqLvaedtOZBk4NPIy2ZkxI4dOwb4fyp566238uMf/5gnn3ySoaEhMjMzKS8v58EHHxzzmjOR6SzX7vvquQBP1MHARZg7Bx7+lO9kvukUsb9RUVFBRUVFpEcSCbt5iRDnu8KEuBhrBAwsfGJ/PONFTETMMiOPxC6/r1JEzDcjj8RExDoUMRExmiImIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGm5HvnTTB7Fio3BLtKSZvdmy0J5CZShGbpmw2jPjgDZFo09NJETGaIiYiRlPERMRoipiIGE0RExGjKWIiYjRFTESMpoiJiNEUMRExmiImIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNEVMRIymiImI0fTxrCIWNjwCrg/g3HnoOA8XLvq+f+Ei/PIYZKb6vpITojvnVChiIhb0Xi80noY/vvlRuK52aRhe/PNHv1+6AG7PgaJFEBcbuTlDQRETsZC+QTjcDK1vB7bdW+/5vp5rgU9/HFYtAZstLCOGnCImYhEt7b6ADXwY/D76h+Anv/NF8HOlkGLA00xFTMRwXi/8/DX49fHQ7fN1JzjPw3/9e7g+JXT7DQe9OiliuFAH7LKeC/A/fw3v9YV+36GkiIkY7I9vhidgl/UOwVMvw0VP+B5jqvR0UsRQPRfg2ebAtvnHu33nuXoH4V9/Mblt3uuD2lb4h5KAR4wIHYmJGOqnf4ChS4Ftk5IA8xIDP2HfcBLefDewbSLF8hFzu904HA6ys7OJj48nMzOT3bt3MzAwwI4dO7DZbBw8eDDaY0oY9Q3Cr16Hx2p9RyAA/R/CkTPT+2nSeN5+H050Ru7xvPj+DKcjSz+dbG1tZf369bhcLubOnUteXh6dnZ0cOHCAM2fOcP78eQCKi4ujO6iEhdfruyr918d9V65fbXgE/v0IPN8CXyiDlRnRmTFYjacj/5h/6fI9tVyQHPnHHo9lj8TcbjcbN27E5XKxZ88eurq6aGlpweVyUVlZSV1dHU1NTdhsNgoLC6M9roSY1wvPHYVfHLs2YFe7cBF+8Aq0no3cbFM1eNF3TVg0/C4K8ZyIZSO2a9cunE4nFRUVVFVVkZz80T8fDoeDoqIiPB4PS5YsISVlml8IIwF77W149eTk1vXiu8Dz/f6wjhQyZ9/3vW0oGt54JzqPOx5LRqytrY2amhrS09PZv3+/33VWrVoFQFFR0Zj7Wb9+PTabjX379oVjTAmjVyYZsMs8I/D7N8IzS6idez96j93ZA54oBXQsloxYdXU1IyMjbN26laSkJL/rJCT4Xp4ZK2I//elPaW1tDdeIEkad3b73AQbqyBvT7wfUH2d39B778l0xphNLntivr68HoLy8fMx1nE4n4D9ivb29fO1rX6Oqqopt27ZNeZ6SkhJcLteU9yOTs6RkCyX3/kvA2/V/CPkfv52B99tDP1QI3fmVp1mwrMzvssvXgY0lJf6jX/dtHv9xxrqWbNNnPs+7pxsmOe3k2O12mpsDvOjtrywZsbNnfWdpFy9e7He5x+OhsbER8B+xhx56iNzcXLZu3RqSiLlcLjo6Oqa8H5mc9Dw/956ZpPM9fbin+d/VpXFeqbh8HdhEYmImt54/3d0fTKv/ny0ZsYGBAQAGBwf9Lq+pqcHtdpOcnMzSpUtHLWtubub73/8+R48eDdk8drs9ZPuSiSXOCfwsidfrxWazMT85njk33hiGqUInLsY75rJe///LX5ES7wvYyIjvLUXjGWtf869L5lKI/4ym8jNiyYjZ7Xa6u7tpaWmhrGz0YXdXVxd79+4FoLCwENtVN00aHh5m586dVFRUkJ+fH7J5gj1MluB8MAiPPgcjY/+sX8Nms2G/Dk4e+8O0v4/W//297z2T/kz0VqJ9m31HYL1DsO+54B7/l7U10+paMUue2F+7di0AlZWVnDp16sr3m5qaKC8vx+12A9de5Hrw4EHeeecdvRppuOsSoDAz8O3+LseMGwFmpkbvseNnQbr/18qixpIRczgcpKWlce7cOfLz8ykoKCAnJ4fS0lKysrJYs2YNMPp8mNvt5uGHH+bb3/42Ho+Hnp4eenp6ABgaGqKnp4eRkXGumpRpZU0exAbwf/f8RLglK3zzhFJGFCOWmTr9Qm/JiGVkZNDQ0MCGDRuIj4+nvb2d1NRUDh06RF1d3ZWjs6sj5nQ66evrY+fOncyfP//KF/iO6ObPn8/bbwd4z1+JmkVpsP02iJnED1xSPOxc4zvKMMGitI9eZYy0vGl4utCS58QAVqxYQW1t7TXf7+/vp729nZiYGFauXHnl+9nZ2bz88svXrF9eXs7999/Pl770JZ2gN0zxYkicAz9rgQ4/11bZgJtugM/eAmnT7CnSeGJj4NbsyL8he1YsrJ6GR6uWjdhYjh8/jtfrJTc3l8TEj15jTkpK4q677vK7zZIlS8ZcJtNbrh2+sR7a3b73G/YO+Y7O0pNg9TJIn0YnqANxWw78x/HAXryYqpv/+o/CdDPjInbs2DFg/LcbibXYbL6PJFu6INqThM68RLjrJqhvi8zjzYmD9dP0PgmK2AS83gj+UycSgPVF8HoHvNsb/sf69CqYPzf8jxMMS57YH4+OxMQqZsXC1jKIC+CnuHfQd1vriS6KvVr+jXDrssDnixSbV4caIkY77oQfNox/37RgZS2A/7IGZk/j52yKmIgFtHXC/24I7e22V9wA//kT0ztgoIiJWMb7/VB9ZOo3LpwdC/fcDLfnTu46u2hTxEQsZMTru7njS8fh/EBg28bYfJ81sOlmsy49UcRELGhkxPfBHr97w/dRaxfGuDuRzQbXp0DRIijLDv72PNGkiIlYnNfrOyrr6PZ9yMjwCMTF+i74vTHVdw2YyRQxETHajLtOTESsRRETEaMpYiJiNEVMRIymiImI0RQxETGaIiYiRlPERMRoipiIGE0RExGjKWIiYjRFTESMpoiJiNEUMRExmiImIkZTxETEaIqYiBhNERMRoyliImI0RUxEjKaIiYjRFDERMZoiJiJGU8RExGiKmIgYTRETEaMpYiJiNEVMRIymiImI0RQxETGaIiYiRvv/IEDdyDHnPiUAAAAASUVORK5CYII=", "text/plain": [ - "
" + "
" ] }, "execution_count": null, @@ -255,7 +255,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "821b72e3afce495f83368fd7ba267eab", + "model_id": "cf9cec7f528a4adeb83f89bd27c52fcd", "version_major": 2, "version_minor": 0 }, @@ -290,7 +290,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "We found 12 correct distinct solutions.\n" + "We found 10 correct distinct solutions.\n" ] } ], @@ -315,11 +315,19 @@ "id": "156f7aad-d1d6-4cf9-bd9e-8fd1908e687f", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Flo\\miniconda3\\envs\\genqcPUSH\\Lib\\site-packages\\qiskit\\visualization\\circuit\\matplotlib.py:266: FutureWarning: The default matplotlib drawer scheme will be changed to \"iqp\" in a following release. To silence this warning, specify the current default explicitly as style=\"clifford\", or the new default as style=\"iqp\".\n", + " self._style, def_font_ratio = load_style(self._style)\n" + ] + }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "execution_count": null, @@ -354,9 +362,9 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "execution_count": null, @@ -377,7 +385,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABxMAAAGzCAYAAADkADkVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAADKWklEQVR4nOzdeXxU1f3/8fdkX0nYw76vAdkFQUERAddarVRbrLbV79fWVlH7q/3afrt8u0i1VLRWbQWrLba2UhdwAQQEZFFWQcK+hH3JRvZ95vfHIc12EyaZO3Mzk9fz8cgDMknuOTNzZ+Z+zuecz3F5PB6PAAAAAAAAAAAAAKCOMKc7AAAAAAAAAAAAAKBlIpkIAAAAAAAAAAAAwBLJRAAAAAAAAAAAAACWSCYCAAAAAAAAAAAAsEQyEQAAAAAAAAAAAIAlkokAAAAAAAAAAAAALJFMBAAAAAAAAAAAAGCJZCIAAAAAAAAAAAAASyQTAQAAAAAAAAAAAFgimQgAAAAAAAAAAADAEslEAAAAAAAAAAAAAJZIJgIAAAAAAAAAAACwRDIRAAAAAAAAAAAAgCWSiQAAAAAAAAAAAAAskUwEAAAAAAAAAAAAYIlkIgAAAAAAAAAAAABLJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAlkgmAgAAAAAAAAAAALBEMhEAAAAAAAAAAACAJZKJAAAAAAAAAAAAACyRTAQAAAAAAAAAAABgiWQiAAAAAAAAAAAAAEsRTncAgLMq3dKu49LH+6SCEsnlkrokS9OHST3bO907e7g90sGz0so0KavA3NY+QZqWKg1IkcJczvYPAAAAAOA/mfnSqj3SwXMmBo6JlCb0k8b3M/8HAABA41wej8fjdCcAOCPtlPTPz6TScqm0ovbP4qOkNnHSf10ttY13pHu2OJktvbJOKi6Tistr/yw2UoqNkr41Werezpn+AQAAAAD8o7TCxIMns6XC0to/iwgzicRrhkjXpjrTPwAAgGBBMhFopXYeN4nEorLGfy8pVnpkppQcF5h+2elktvTSaqmgtPHfi4+WHpgq9SChCAAAAAAhoaxCmr9cOpcrVTYy8hUTKV05ULppZMC6BgAAgtSijabiga86JEqzJ/p+nEBiz0TAS06k3f3VZkGJ9OZm60TifVNqf59bLC1Y659++JPbbfptlUisex8LS6WFa025G39gygYAIBh4PFJJublO8NdnIgAEK4+H6/pg89ZW60Ri3XiwpFzaeFBKz/RPPzh3AABwTs04t6LS9+Nl5ptrBl+/7EhIBhp7JgKXcOaCWcGXWyxFhUtj+0jXDfNvm8u/kLalS+WVZkXgneOlzkn2HX/9AVP200pCTP3bcgqls7lSio198Lfdp8wHhRWr+1hcbsq+XtbDvj4cPCe9u00qLJNiIqSrh5g9OQAAaElKK6RPD0mf7JfKKk2w5XJJXZOl6y+TenVwuocA4JzySumNT6sTTd3aSl+7gn32WrqyChPfWa1ItIoHi8qkZbtMxRq7FJWa1QvnciVXmNSvkzTrcimcaf0AAPidZZwrqWtbaeZlUm/i3CYjmQg0orzS7K+QUWOmwKo9UnK8NK6Pf9rceFBavad6D8OcQrNq7vGb7As6Pj3ceJmXugpLTZ++doU97QfCyrSGk4lWSsullbvtSybmF0t/3yjlFFXftmSH1KmN1KejPW0AAOCrrALphVVSbpFUUWc1Yl6xdDxLGtNbum2sSTACQGvz+kazRURV+JRVYOLE/77G0W7hEranNy0elKr3VYyPtqcPC9dJh89Xf59dYAYx75xgz/EBAIC17ALpjw3FuWdMnDu6t3Q7cW6TOJ5MTE9P18KFCxUTE6OjR49q2rRpKi0t1ZgxYzRsmJ+XfwGXsPuklF1Y+7aqEij+SiZ+dqQ6kVglu1Dae1oa1t3347vdzVvSffqC720HUl5xM/6mxL721x+onUiUTGC6ak/9sjoAADihqEz648r61zp1f2fLESk2SrphROD6htaFmBAtVaXbDDbVnYd55oKp9BIb5USv4I0T2Sbp2xQemcm8diQTc4tqT0qWJLendnIRAADYr7jMJBKzChr+nf/EuZHSjSMD1rWg5/J4nK3cPmfOHD399NM6ceKEFi9erMTERN1333167bXXdN9991n+zc0336yMjIwA9xStUYdBM9Vv2v/KFRZe6/b8M18obfH9fmkz9Y4FSkypPWjirqzQoeU/Vfbh1b434ArX6G8tVVRcO0kmsVWzzEuXJOlMbvX3BSUX9x48v1+7/3mP7+0HyKh731V0YmdJ3t/H0vxz2vHql2xpv8fEB9VtzN31bs9J36j9Sx+1pQ34pmPHjlq6dKnT3QAckV8srd1nJq9MHix1THS6R3DCBzulj9Lq7+M0e6Ipy1ZTm1jpiZsp6wf/ICZES+UKC9eI2W8qJqlrrdtL88/pizfuVkVJnkM9w6X0ufqH6jz8tv98XzMmbCgeLC/K0b4lc1SYsd/n9qMSUzTsjgWKiq9dQ634wgnt/NsdPh8f9iAmBPyvpFzacMBMsBjfz7/VuvKLpbX7TZtTBkkd2/ivLbRcy3ZJy3d7GefGSP9zc9MmiM1fbs8+y707SHNm+H6cQHI8mfjb3/5W4eHhSktL0/3336/jx4+rrKxMo0aN0vDhw53sGqCScum375vZiVUiwszM/KlD/dPmii+kFbtrL8FulyA9fqMUbdNa4p++1fDKvTkzzJtiXSN6SN+cbE/7gfDb982MYSsN3ccuSaacrB0y86XnVtRe7RgTKd09SUrtZk8bANAcp3JM+eyq1WhtYkwJy5G9nO0XAsvtln75bv1V9JL0nanSi3XmL4W7zIxNf13/oHUjJkRL9tJqad+Z2rf16Sg9PN2Z/sA7a/eZbSYq3fV/1lA8mBBt4u7EWHv68LsPTenUmoZ3l75NpRoArURhqfSHj6SzFydwxEVJVw6SbrjM/rZOX4xzs6ri3Fjp1tGmlCVaD7dH+uU7TYtzbxgpXduEOLc1JxMdL3P6+OOPS5Iee+wxjR07VhMnTnS4R0C1mEjpq5dLb28zH4DF5dKYPtLVQ/zX5rRhUkaBdOicKY3SMVG6fZx9iURJGtFTWr+/frmehsRFSdcE2eDh1YOkf2+Tyiou/buSFBUuTRlsX/sdEk3SedUes7y+pFy6ciCJRNS2f/9+vfHGG6qoqFBCQoJSUlI0adIk9e/f3+muIYQt3VG7rGVeibRyD8nE1iaroGllzys9Zs8wkonwB2JCtGR3T5JeWWdWVBSUSD3bS/de5XSvcCnj+kgf7ZYKSr3/m/aJ9iUSJembV0qvrpcuFElFpVL/ztLXeXtDDcSDCHUrvqhOJEqmtOS2o9K0oVKUzVmJpTuqE4mSWUSxeg/JxNYmu6D+HomNqYpzm5JMvJRt7/9OY278gQ5uXqzOfcaqTcfe9h3cYY4nE6vMmzfP6S4AlgZ3lR7vYlYnvvqJdJefN0sPc0lfv8Ikn55bIf3gBnObnaYOMRvSF3oZWMVHS73a29sHfxvdR3pvp/fJxOhIkyi204T+0ri+5tx5bb1000h7j4/gt3DhQs2dO1dLlixRdna2Zs2apXfffbfB4HH27Nk6e/ZsgHuJUNP3xj8orlPtWTGHj57StGnBU8oavotp10+9pv9WkbHJkkzJl8SL5d+6tzOzNqvkl5hyMPsPHtG03/1X4DsLv0lJSdGiRYuc7sZ/EBOiJYqPlr5/nSmd9tLHwTeDvLWKizYrSHef9G4SbUykNMPmLVrbJ0qPXW+SiQvWSN+51t7jI/g1NR6UiAkRXHpO+5Xa9Kg9kHouI0df+sr3VV5g73nc98bnFNepdkbo8DHi3NYmum0f9ZnxtCKaEOceOHRU06Z5v51Z3xueVVzn1AZ/7q4s145l85VxbKc69xnb4O/tSUvTtKcf9rpdf2hqPNhikolASxbmkton2J/Ua0xMpBQZ7p8228ZL01Kl5V+YpGVNBSW1v0+Ilr41WXIF8L7bITJcunOC9PpGM/Opprr3MS5KunO8+Ru7hYeZVYqBPHcQPJKTk/X8889r+fLlmjVrlv71r381uhqjJQ34Ingt2iBtTa9929AB3fTiypWO9AfOuFAkzfvQBFBS7b0jrMq/SNKwIX310vc5TwC0TomxZssLBI+vjjfl3WtWZJDqx4NREdKQrubLH5LjTFwI1NXUeFAiJkRwWbtPWrLdrP6q0q1zWz331iKF2fy++PpGacvR2rcN6Uec29rkFpky402Jc1MH9dFLTThPLlXmNCw8UqNmztHBzYsbPc7Q1FT9+dHgOj9JJgKt1DVDTIJrxW6ppKz6g33BWvNvdIRJaN5/tdQl2ale+ia1m/S1K6Q3PjNJ06pyblX3MSLM3Mc7J0ip3Z3rJ1qvJ554QpJ0+vRp3XMPs+UQGLeNkzILpHO55r0xJckMtqF1SY4zqzbySy79u5K5LrhqoH/7BACAnRJipIdnSC+sNOXuii9OpK2KByWz8nRYN3MtFGwTaBH8iAcR6q4cKB08axIvBaVShwTp1jGyPZEoSbeNlTLzpbN5Zpyzc5L0VT9Xl0PLkxRnPtuJc/2DZCLQik0ZLI3pLX2y38zeKa80pU87J5la0SN7ShF+WK0XSMO6S//bWfrsiLmfpeXmAqZ9gvmwGN/PlDgFnDR37lynu4BWJC5Keni6dOaC9I9PpUdm+CeYQ8s3dYj07y1SmRd7J8ZFmc9UAACCSVKs9KObpIPnpGW7zISqghJT8mxoNxP3dkh0updo7YgHEarCw6T7rjZJvlfXmzjUH1XBJCk2SnqIOBcyn+1vbvFu66vYKGl4D3vbH3PjDyRJAy7/ir0HbgFIJgKtXEKMdP0I8yVJzyyTHpnpbJ/sFh0pTR5kvqTQvI8A0BQul9S1rblwJsBqvcb1kTYfkdIzapceqjuLMz5amjWeEm0AgODkckkDU8yXRDwIAIHWIdFMTvRXIrEKcS4ks3Dms8PS0Uyp0l19u2WcezlxblPwUAEAAACtUFiY2TdicFczuahK1b4SkeFSm1jp61f4bx8pAAAAAADsEhYmPTBVGtyl8Tj3axNMlQJ4j5WJAAAAQCsVEW72Rz6XJ320WzqWKV0okjq2ka4aII3pI0URMQAAAAAAgkRVnHv+YpybXiPOvXKANJY4t1l4yAAAAIBWrnMbafZE8/8XVknfvdbZ/gAAAAAA4ItObaSvE+fahjKnAAAAAAAAAAAAACyxMhEAAAAAAAAAAABoRIfElnWcQCKZCAAAAAAAAAAAADSianuQ1ogypwAAAAAAAAAAAAAskUwEAAAAAAAAAAAAYIlkIgAAAAAAAAAAAABLJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAlkgmAgAAAAAAAAAAALAU4XQHAADBy+ORMvOl/BIpMlzq1EaKjnS6VwBC2aKN5n3HFx0SpdkT7emPXUL1fsE3nBcAAqWozLzfVLqlNrFS+wSnewQAAICWhGQiAKDJKiqlTYektfukknLJ7ZFcLvM1sLM0Y7jUOcnpXgIIRZn5Unqm072wX6jeL/iG8wKAv53MlpbtMu81HpnJgmEuKT5ampYqje4thVPTCgAAoNUjmQgAaJKiUukPK80AZ3ll/Z9vPybtPyvdNlYa0zvg3QMAwDGZ+VJukRQeLqUkSTGs1gfQgq3bbxKJRWX1f1ZQKr25RdpwUPrutVIUo0cAAAAtxoUiKbvA/L9jGykxxv9tcjkIAPBapVt6fqV09oKZudyQwlLp31ukhChpUNdA9Q4AgMDzeKQtR6XVe8zge2WlJJcUGSb16SjdNNIEdwDQkmw92nAisUpZhXQiS/rTx9L3ppkqJAAAAHDOvjPShzul7EJTOU6SIsKlzm2km0ZJvTv4r+1WVawip1D6KE367LC5KAZQ7UKRtDJNKijh9YGG7TgmZRVYJxLvm1L7+6IyM5vZ01jWEQCAIOb2SAvXmQk0Z3PNdVRxuVRcJuWVSDtPSM99JO0/43RPIZlr3E8PmWveC0VO9wZwjtstLd1hnUise01f6ZFO50iHztvfj8x8acVuadvR6sEwf6p0SzuPm9f/6Rz/twcAAGCn9z+X/rpeOpYl5VfFnuXm/4fOSy+vkT7Z77/2W83KxLX7pFVpJqgPc5n///dUNhUHJGnDAWn5bimv2Hz/9AfS/VdLnZhFjzpWpUmlDSSbEyyW0xeVScezpF5+nBUDAIBT/r1FOnC28YlY+SXSoo3SQ9exQtFJGXnSn9eYSVFujwmyrxsmXTnQ6Z4BgZd2umnX9MXl0vJd0oDr7OvDsl2mhGp+iRQRZiZ+f/daqU2sfW3UVFIu/XGlmfhRXin9cZU0sqd0x+X+aQ8AAMBOmw5J6w+aiasNKSw111jtE6Sh3ezvg+MrE9PT0/W///u/+vWvf6377rtPO3bs0E9+8hNb2ygpN8nEvBLzvdsjnc+X3txsazNAUCqrkFbvrU4kSlJGvvQvXh+oo6BEyi9t2t8UlUmfHvZPf+Cdz49LL62WFq6VjmU63Ru0RrtOmHNwwVopPcPp3tijvFL6YKf0wirpX5+Z98dQkJUv/W2DdDLbXDu7WVneqKIy6YuT1onE2RNrf59fIr2/MzD9CkaBiAn/tdlc41ad17nF0sd7G06oAKFs00EzTtIUZ3Lt+1zILzYxQv7Fz88Kt0ny/XurPce38v7n0ons6j3fC0vNKsWzuf5rE2gJzudJr62XXlwlrT9A5SAACEYej/TRbutEYt3Ys7BMeu9z//TD8ZWJ8+fP19NPP60TJ05o8eLFGjVqlDZs2GBrG6eyqy9Sa6K0DSCduWA9CJrL6wN1FJWp8Y0SG2D1/ovAWLFbWp0mlVwcKE3PlO6eJA1McbZfaD1W77l4wXtxwDI9U/r6FdKQIN9L9eWPpQPnzP8PSDqSIT0yU4p2/Mq6+XIKzSqN7ELz/ZIdZp+s2ZOc7VdLtuGAVNjAZ1yixcqeIxlm8D4m0r/9CkaBiAlzi+vfll9iroX9ua8I0BIVNHGCoGQqPJWWS7FRvrefnmk9HpOZ7/uxG3Iyu/5tBaVS2kkpJcl/7QJOysgzScSci6+3w+elUznSV8c72y8AQNMcOFs9rlKXVeyZV2zinC7J9vbD8SGPLl266Nlnn1VaWpruv/9+HTlyRGlpaTp58qS6d+9u+Tc333yzMjK8n9oeldBZw+5YoKiEjrVuP7h/tyb86j6f+o/WJfWOBZrw88CdM4FoLzKunYbNelXRiZ1q3X700F5NmPBNv7btlEA/j061abeo+I4a9tVXFRXfXpLZT6VmGaQuSdKcGeb/BSVmFZIkfbzyQy14/BcB7u2ldezYUUuXLnW0D/v379cbb7yhiooKRUREKCkpSXPmzLHt+NvTqxOJkhk0/SiNZCICZ+vR2he8BSWmXLK/konb3v+dxtz4Ax3cvFid+4xVm469bW/jVI5Z2VDTuVyzD9uUwbY3Jykw92v5F9WJRMnsK3X4vFm5ER9te3MhYf9Zs5eYtyoqzeqAnu3taT8Q50WgBCImHDbrL0roPKTWbfk553X3rG+qvCjLp/6j9QiFa3pJGvLl55XUfaykxq/pperr+uzsbE29+hZ53L4v541t10dDb3tRkbHJtW7f+8V2Tfi/7/p8fCsDbpir9v2urnVbRVmhnvrFj/Xj45/6pc2aQuXcCTVOx4T+jgeXfVGdSJTMKuD9Z8zEgGgmNwFA0DhwtvHypnUVlJrqZHYnE10eT8tY4P7YY4/pySefVFSUDdPcLPxlnbT7lBkYkaSEaOmrE6Th1rEpYOmZZWblQai197cNpsRLRY3Xx23jpNG9/N+2EwL9PDrVpt3cHukXb1vP7JfMoMP85bVvi44wsx5H9/Z794LSD3/4Q82dO1dLlixRcnKyDh06pPvua3iQYfbs2Tp79qzXxx9w+2uKblO7SHrRuTQd+eDhZvcZoaX3jKeUvvyHfjv+gNv+ouikHrVuKzq/V0fe/36zj9n3hmcV1znV8mdbljypiKhYZRzbqQm3/azB5Iovr4P4rqPVa9pvFBZee05e5u7FOrvlpWYdU3L+fvW89v/Upmft+igVxTk6/N5DKi8406xjhro+N8xXfOdhkkxpmZozQru3q14FU7VnYmVpvo6t/F8Vnd/tdRv+Pi9SUlK0aNEir/vjb/6MCXcckxZvMQlyyezRdlkP6RtX2t4UQlgoXNNL0sd7pPd2Vo+P1GR1TS9JHROlH99iXx9eWm0GxqpKp7aJlb4xSerf2b42ajqXK724uvaKyF4dpIenm1WX/hYq5w7s1dR4UGpaTNhr2q+V2KP2MsTywiwdXvqAKopzmt1voDn8HXs61RaCRzCfFymXf1cdUm+T5F3sKUmnP31e2Xvfafy4TYwHHV+ZWGXevHl+Pf49V5q9X744KZ2+IH1rstS30yX/DGgVvj7RzJLfeVyKipCmpfoviEPwCnNJE/pLK3d7vxIjOkIa0dO//QpmycnJev7557V8+XI99dRTeuutt5SXl6c2bdpY/n5TB3z/tFraWyMHEOaSbr4mVTc/utKXbiOEvLBKWvD//Hc+vLxGSjtV/b1L0vWTh+jLjzS/zfnLTXk0K2HhkRo1c44Obl7c6DGGpqbqz818HZRVSE+9L2UWVN+WEC396PGvKCX5K806puT8/dp5XHp9U+39/3p1bas/vP03uQIwyBqM/rZB2pZu/l8VsFX5zlQzaF1TclKifv7n+Wqf4H0bTp8XgebPmHBULxN0r0yTjmZIN4yQrhrkt+aAFu2KAdKqPd6XO40Ml6YOtbcP902RVu+V9p02ZbjunyL1sGnltpXOSea9+YOdZqCtd0dpxvDAJBKBhjQ1HpSaFhNuPiy9uaV6r1BJ6tujvf649E1fug00i79jT6faQvAI5vPik/3SO9vMeKw3sWdUhPSzx7+n1O7fs7UfLSaZ6G9hYdI1Q83XM8tIJAI1hblMaTZ/lWdD6Jg8SNp40HofxLp7b0ZHSJMGSuFhgelbMHriiSckSadPn1Zqaqqee+45W4//9YnSq+vNXhmFpWYFxg0jbG0CaNTXrpBe/UTKyDfvEcO6SzePdLpXvomKkL5yufTuNvO6Ki6XrhsmpSQ73TPfjOhpyqDsOiGVVZoVIrOvEInERlw9RNp3pnql26UkxKhJiUTYr39n8/XMMq570brFRJr3/c1HaicZpPrX9JKZNDOmt719iAiXpg8zX88s828isUrnJOmbk/3fDuAtf8eD4/qa8vx7TptVud3aSnezHzYABJ0xfcy2RXkNVIurKzZSGtTF/n60mmQiAMB38dHS/VdLf15Tf6Chao9EySQSh3YzgwO4tLlz5/rluAkx0vemSUWl0ivrKOWGwIuPlh6cJhWVSa+sle69yr/tjbnxB5KkAZc3f4WgNwZ3kQbeaJJIf13v/6REoO7XLaPNhIOS8tr7Z8Faj3Ym6epNMjE6Qppm86qeQJ0XAELTbWPNZJ/0zNqr0mte00vmfe6Ba81kGgD+4a940OWSbh8n3VJpSgt//zq/NAMA8LO4KKl3B+mLE9KlisWFu8yksYhw+/vBehEAQJP0bG+CkL4dzSzlmotWYiOl5DhpxmVmzxNWtLQMcdFmhT7glLio0DsHw1ymZGKovc9FhJNIbIpvT5aSYuvfXnMFf1S4mRXK/sEAWpLwMOmBa6RrBkttYsykhyphLnOdP7iL9MgMqXPDFRcBBIHIcCoGAUCwu2uC1LFN7XFYqXbsGR4mdWkr3TLKP31gbhkAoMk6t5Eemm5KpWxLl3IKpV3HpTsnSIO7svcIAKB16JBoJtgsXGdKzlStUly00cwIjY+WRvSSvjwm9BLPAIJfWJh0/Qhp+nBp90mzSnHrEenaVFNOK5HJJQAAAC1CbJQ0Z4b0l3XS2dzqJOKijSbBmBAj9epgFnf4Y1WiRDIRAOCD5Djp2otl205kmdKmAAC0Jh0SpcdvlE5mS2v2SdkF0plcaVqqNGmA2ZsMAFqy8DBTDmtET+nIebMnLAAAAFqWuCizlUxWgfTxXunMBen0BemK/mb7FauqOXYimQgAAAAAPureTpo90fz/hVXVk20AAAAAALBL+wTpK+PM/19Y5b+ypnVRMRsAAAAAAAAAAACAJVYmAgAAIGh0SGwZx7BbqN4v+IbzAgAAAADQEpBMBAAAQNCoKiMZakL1fsE3nBcAAAAAgJaAMqcAAAAAAAAAAAAALJFMBAAAAAAAAAAAAGCJZCIAAAAAAAAAAAAASyQTAQAAAAAAAAAAAFgimQgAAAAAAAAAAADAEslEAAAAAAAAAAAAAJZIJgIAAAAAAAAAAACwFOF0BwAAAAAAAAC0TK9+ImUV+H6c9gnSvVf5fhwAABB4JBMBAAAAAAAAWMoqkE5kO90LAADgJJKJAOAHbre057S0+YhUWCqdzzP/H91Ligh3uncAEBhut3TwnHkPvFAopWdKvdpLLpfTPfNNcZm097SUVyzlFkkXiqTkOKd7BStuj3TonHQ+V5JL6tZW6t0h+M9BAIGTUyit2y+dypHO5Ur/3ipNGSR1SHS6ZwAAoIrHIx3Pkk7mmM/u/WekAZ2lMDZ581pJeXWcGxMpDepCnIvaSCYCgM02H5He/1wqrTAfxFUWb5GW7pAmDZBmDGcgE0DocnuklbulTYek4vLq98I/fyzFRUvXDZPG93W2j82RXyy9ucUkRQtLpUq3uX3eh1LHROmOy6UuyY52ERe5PdLqPdKGg1JJmTkPJSkuynxdmypd0d/ZPgJo2fKLpVfXmwRiYankuXj7J/ul7emmXOM3r5LaxjvZSwAAsPmI9NFuqbBMKio1t/3lEyk2UhrfT5o+XApjDK5B+SXS4s3S0QzzGFa6JZekhBgzeeqOcVLXtk73Ei0BuXkAsNGqNOntbVJuce1EoiSVVZgP6I/3Sq9vMrOmACDUuN3Sy2uklWlSTlHt98KiMikzX3pnq/T2Vse62Cw5hdLvl0u7TpiZmlWJRMm8tx/JkF5YJR0+51wfYbg90sK10ord5nkrrnsOFkjvbpfe3OxcHwG0bLnF0u+XSYfPSwU1EolVCkvN6of5y83nGgAAcMY720xsmZFfnUiUTByaU2QmGP7pYxOnor4LRdIzy6SdJ6S8kuo41yMT5x7NkF5Ybaq9ACQTAcAmR85Lq/aY8neNKa2Qdp+QNh4KTL8AIJCW7DCDr2WVDf9OcbmZPbr1aOD65Qu3R3pptUlMNSa/RHptg1RQEph+wdoHO0153bKKhn+npFzali59ymcxgDo8HulPq80A5KXkFpvPBzeTBAEACLht6dJnR2pPHqyrrNKM172zPWDdChpuj/TiKin7EnFuQYn0V+JciDKnIcXtlt7fKe07Y5YiD+seesu4PR7pkwPSliPm/vbuKN06RopkDzq0AB/sNCserNw3RVqwtvr7kgqzinFif8qdAk2VW2xKcOQUSvHR0pdGh0bJjbRT5n2hrELq1k66fawUFWRXauWV0o5j1kmc2ROlRRurvy8uNyvHxvYJXP+aa/8ZsxrRSt37VVBi9ta6YURg+hasNh2SPj1srucGpEg3jbBnP5OKSnOd6M05WFIurdxjSh/xWYxQkXZS+ujiZ0lV+eWEGKd7Za8TWdK7O8zqg8QY6baxUuck+45/PMvM0rdS95peMqsU95+WhnSzrw9Ac53KMat0CkvNa//LY0KvBPuFIrOFSHaBFB0pXT9cGtjF6V4hkKrGPw+cNWOe4/tJEwc43Svf1Yxz4y7Gud1CIM71pxVfWE/or3vdX14pfX5cummkPTG22yMtqxqDd0lj+0pXDfT9uIF24GzT4tw1+8xjiNYryIao0Jg3PjMzMqqWI5+9uLfD7eMc7ZatVu0xNbBLLw4Qnb5gPmT/6xpHuwUor9i85hpiNYhTUm7KBfTt5L9+AaHG7TarBU5fqL5t4TrpsZkm4ApWx7OkNz41K9sks2l8XrH030H2+bYjveFJFYkW74OFpdLJbKl7O792y2cf7W54tmvd++X2mGQWycSGbT1qVrBWBf6nc8y+hrPG+37sXSe8f64kk4w4liX17uB724DTDpyV/vGpKcspmc/KjHzpB9fbk6xvCbIKzOd+zWTfn9dIj840E4zssGJ3w59lVtf0VZNjSCbCaReKTLK7ZiWFl9dIj8yQEmMd65atyivNKppzedW3/W2j9F9XSz3aO9YtBNhbW6VNh6vHP8/nSRFh0uX9nO2XL9xuU4rzdE71ba+ss/fzLdScyqm+5qnL6rq/uMyMm9uxb/q726UNB6SKi+fguTwp3BV8Se2mxrnbjko3jmAiZmvmeDIxPT1dCxcuVExMjI4ePar77rtPaWlpGjt2rEaMYBTGW2UVpnZxzf17KtzS3tPmAylUgsetR6sTiZKp33wyx1w0J8c51i1AZy5UX0R4q6jMJBBIJrZe+/fv1xtvvKGKigpFREQoKSlJd955p1JSUpzuWot16JwJFmvKKjDB5LVDnemTHValVScSq5zOMcm2YAoe0zPNII+3ikqlsxdafjIxt4HZmg2pdJvHgcoJ1jYdqj2DuNJjypLaIT2z8fKmdRWVmdcayURnERPa46Pd9QfVMvJNTJja3Zk+2W3F7vqrBrMKpE/2SzMvs6eNMxea/jeXKg8GBMKqtPol2bMLpY/3SreM9m/bW5bM1bhbfqQzhz5VZVmJug+92i/t7Dhm9j6uKb9EWvaFdL9/mvQr4sHmOVBn/LO43FS8COZk4uEMKcMqzj0kTUt1pk8t3dnchif/WCmvlI5n2pNM3H+m9hhgSbmZUBpsycRcL0q611QV5wZbBSXYx+XxeByt7j9nzhw9/fTTOnHihBYvXqwf/vCHevnll3XTTTepSxfrOgU333yzMjIymt1m6h0LlPbmfc3++5YoIiZZw+/6q6ITamclSvPP6vO/zZKnsgnvri3YiNn/VGzbXrVuKy/O1d63H1RRlv83vQn0uROK52pL4I/HNbn3JPWf/n+KiI6XZEog1Zy53CVJOnNx5WJBSXV5pOObXtLpra/a2henBNv52rFjRy1dutTRPvzwhz/U3LlztWTJEiUnJ2vnzp26//77FRdnPTti9uzZOnv2bLPa6j3jKaUv/6Ev3W0R4ruOVa9pv1RYeGSt289te0UZu/7uUK9812Pqz5XU68pat5UXZujQku+osuSC39q1+7zocsXDaj/4ZkmmLErN2Yzd25lViJIZ9Fm0UfK43Tq1/ildOLzStj74w4Db/6roNl0leXe/youydGDxN+SpbGCqbCvX5/rfKz6l9qh/ae5JHXzrXp+PnXL5d9Uh9TZJ3j1XknRqwzPKOfC+z23XFCzvuSkpKVq0aJHT3Qh4TBhs1yzeSv3Ky0rsMrze7UdWP6nzae860CP7Dbppntr2mVTv9vN7lurIql/b0saoe95WdBtz3jV2TS9VX9eXFWRo+19utqV9pznx+gjV12RNgbiPA26Yq/b9rq53e+aBFTq0/Kc+HXvYrFeU0LnhmXub3/21IqPjlZd5TP1Gf6nBZGLBuT3a/a9vNbsfXcfeo55XfKfe7XmndmjPW/VvvxSnY8KmxoNS82PCYLk28caA2/6i6KQetW4rPLdbRz+Y40yHbBDfdbR6TfuVwsKjat1+bvurytjp/LWaHew+B5P6TlX3qx6XK8zM4Kx57V/zul+qvvbP3v+BTm/8vc9t9//yQsUk1x6fLjq/R0fef8jnYwfSgNtfU3QbU1rB2zj34L/vkbsiODdPDKX3wZp8uV9NjQcdTyb+9re/VXh4uNLS0nT//fdr165dKiws1F133aWuXbv6pc1nlkmPzPTLoR319AdmiXdNvdqH1n19abWpR11TpzbSj24MzOrLQJ87oXquOs0fj+vxLFN6sbCBvP2cGdL85bVvCw+T7hwvjetrb1+cwvnadL/5zW+UkJCg5cuXa+LEiWrXrp3uuusuJScn297WC6uk715r+2EDrqJSeuqD2qsT28aZ8i/BXL7p0DlTxqbmzMr+naTvXeffdu0+LzYckN7eZr1S+ztTpRdX174tLsrMIu/T0b4++MPvl5n3eStW9ys5TvrZrZR/acgn+6Wln9deQTi6l/SNKxv8E69tPiy9ucV6hazVcxUbJX17stS/s+9t1xQq77mBEuiYMFSvWZZsNyuQagb4SbHSY9dLbYL4M7Km7emmLHhZjdd4bJR0/xT7qn3Mfa/h7QusruklqV289NNb7WnfaU68PkL1NVlTIO7j7pPS3zbUruYUEynde6U02Me30nkfSieyG/65tysTe7Qz70nNlZkvPbuidkWPMJcpLx+Mq7eIB5tn0QZTrrLq8y4qQrrhMunqIU72yjeVbump92uX8E2+GOeGyme43efgsUxTGtZqdaLVdX94mHTraOmqQb63/Y9N0uYj1edgZLg0Y5g0bZjvxw6kZ5aZLR+sWD2GSbHSz78cvHFuKL0P1hTI++X4otTHH39ckvTYY49p7NixmjhxosM9Cl5fmyC9tl7KKTKDrZ3aSF8PsYfza1eYD4qsfKmkQmqfIH1lbOiUcUXw6tFOioyQ1IRFwLGR0vAel/49hK4nnnhCknT69Gn9+Mc/drg3wSEiXPrWZLMxfV6J2Vfwa1cEdyJRMomMm0eZZNz5PGlgF+muCU73qunG9pGW7254E/e6YqOCo7zk1KEmYCz1onymS9KIHsEbYAXClQNNCd9dJ8yg4Mie0h027JcoSSN7Se/tlMq9PQcjpX6UG3ccMaE9bhhhtoA4lW0muLWNk64ZEjqDkJI0qpeUdko6eNZcByTFSpf1sHfbgEkDpHd3mJjaG+Eu6fIQmRyI4JbazXwO7j1trsWSYs1tg6wXeAelDonSVQOljYdMeT6XSxrcxbzXBSPiwea5c4IZBzyeZUr5XjNYmjLY6V75JjzMxLlv1olzQ+kz3G4925vJqd6WOo2Ptm8y/x2Xm/ef9ExzDk4eJF0bhBMarh0qve5lnCuZay7i3NbN8WRilXnz5jndhaDXrZ30+E3S0Qzz4fN4gFbrBVKbWOkH15tZE3/fJP2/G9iPCC2Dy2UGRz/cVbt2f2P6dzYzRYG5c+c63YWgkpJUvWLvhVXSgBDZUuSK/ubrhVWmrFowio6UhnQ1exxf6r0wOkK6enBwBCPDu0tLor0LshJipGuCeP/OQHC5zN5mMy8z5/vXbMwbRUWY5+uzI5dOBERHmM/uYDgHWwtiQt9EhJtZyWcuSH9ZJ82ZaQbZQonLJd09yewj9afV0oPTpKSGqwE2y+X9zMSYAi+TiTFR5r0EcJrLZSaj5RRKL66SvjvNrGwKhHG3/EiS1KW//2fDTR9u9iU7kS0t3SH91zV+b9LviAebJiLcJNokcy15fYhsr9y5Tpw7METiXH9xuUzctXS7WXDSmPAwaVCKfWNwEeEmqS2Z5+qmkfYcN9CGdTfxa2nBpX83MSY4E6awV4ilmhAeVp2gCLVEYhWXy6xiiI0kkYiWZfIgqWOiWZVSV0GdcuJJcdJtYwPSLQAIqDvGmf0VIupch9QsRxUdIQ3tGjyDr+FhZqDKamZwzfsVH21mqQZq4A7WbhtrKgZE1LlOrHsODgrilQxAY7okm5XfoZZIrKl9grmPdicSJfP+cOMIc/y66l7Tx0Sa95Ga+yoCTmsbb87fUL4eSYgxE9gYEwJat4n9paHd6ycJa173h4dJ3dpKX7WpEkooCQuT/utqs5K9rrpx7lfGhfbnCrwToukmAAi8qAjp+9eZAZzoOuu+F6w1/0aGm+Du+9MoVwEgNEWEm/e4y/ua97mqpOKijea9MTnOlFP5xpXBtSIsJUl66Dqzv2PNjekXbTTBVUqS9M2rTOkXOCs8TPreNGlCP3MOVg001jwHrx5inq9gOgcBBM4V/aXrLzPv7zVVXdNLUnyUSSQG4z5tAACEApdLunuiiS+T46rH4hZtNHFom1jp8j4mjqs70RBG5yQzltlYnHvvldKIns71ES1HiylzCgChID7abCj/xQlpZZp04eI+Dh6PmR16zRCzp1gU774AQlhEuDRrvHRrhfT5MenUBZPg6d1eSu1u/h+MOiRKD0835cO2pZu9euKiTGDVta3TvUNN4WFm9uwto6Sdx6VTOdLnx6VbR5v9ioP1HAQQOJMHmVX0q/ZIu09W3+7xSIO7miRiSpJz/QMAAGbM7bphZp/7tJNSepbZcqNrstlrmfG3S7OKc9NOSd+eYlZ1AlV4OQGAzcLDzMb3I3tJZRVSSbm5eGF/RACtTVSE2Xsq1LSNZyVKsIiKkMb1lcZJOn3BfDYDgLc6JJqyaHeMk4rLqycIMiEBAICWJTxMuqyn+ULz1Ixzz+WRSER9JBMBwI+iIpgFBQAAAASzsLD6JU8BAACA1oT5dAAAAAAAAAAAAAAssV4GAAAAAAAAgKX2CS3rOAAAIPBIJgIAAAAAAACwdO9VTvcAAAA4jTKnAAAAAAAAAAAAACyRTAQAAAAAAAAAAABgiWQiAAAAAAAAAAAAAEskEwEAAAAAAAAAAABYIpkIAAAAAAAAAAAAwBLJRAAAAAAAAAAAAACWIpzuAAAAAAAAAAAAQGu0aKOUme/bMTokSrMn2tMfu4Tq/WqtSCYCAAAAAAAAAAA4IDNfSs90uhf2C9X71VqRTATgN69+ImUV2HOs9gnSvVfZc6xgZ9fjymMa+gpKpE2HpDMXzNfGg9LYPlIUn/5e8XikQ+ek7cek4jKpTaw0oZ/Uta39bVW6pS9OSHtOS6cvSO99Lk0aILWNt7+tsgpp61Hp8HlzXqzcLV0xQIqPtr8twEpZhbTtqHQ4w5yDH+2WrugvJcQ43TMACBxiJQD+VumWdp2Q9l6MMd7/XJropxgjVGUVmJg6M9/E0UO7ScO7S+F+2DjsdI606bCUXyydyzWxaL9Okstlf1vwTWGpOS9O55h4Zv0B6fK+jLUg9LWqU7zSLZWUS263GSDkzdgeFZXmcY2KCMybpsdj2qt0m+cyLAA7f1a6zUCy28O50xRZBdKJbKd7EXp4XHEpJeWmlMSxTKmg1LxvSdLb26RlX0ije0m3jJbCeC9r0BcnpHe2m/f+orLq27elm6Ti3RPtSyqu2Sut2WfaKq0wt61Mkz47LHVMlO65UkqK870dt1t6e7u087hUVCpVuM3tH+yS1u2XeneUvj5Rim5VV4cIJLdHWrrDvI6Ky6TySnN71TnYs7109yQpJtLRbiKEeTzmfTaQcURr4HZLxeXmuiImMjCxUtnF57GiUooI9397/sA1PXG2v5RXmse2vFKKDNLXx6VUjUO5PU73pOVavcdcX9WMMT5Kkz49LHVqY2KMNrHO9rElu1AkvbbeJBHzS6pv33lceidKmjpEmjzYnrZOZkuvb5TySkySqsrCdVJclHTbGCm1uz1twTelFdLfN0pHM8xYS9V70DvbpBW7pRE9pC+P4RoToatVDBedyJKW75bSM8zFaWGp9PO3zeqCqwYxC7o5Kt3S7pNmJvmFIvO4ejxmVcO1qWag2u6gLrdYWrtX2ppu2ioslX76ltS/szR9mP0rRTwe6dB5afku6Wxu9bnzf+9KUwZJE/oz2AWg5Skpl+Yvl87n1Q+uyyul8mKzQjEjX7pvCoM2Vj47LL27vXYSsUphqfl6cbV5/Hp18K2td7aZ9orL6/8sv8R8zV8hPTxdSvYhoej2SH9eY1YjViVwav4sr8R8rj+7XHp4BglF2M/jkRaulQ6elcoq6/8sv8TMmp+/XJozg2ss2Cu/RFq7T9p8xLznFZVK//uWme0/fZjUvZ3TPQxOp3PMwNmhc9XXEy6ZKghThkhJNg9SV1RKO46ZCTeFpeZz+mdvm8/H61Kl4T38s1IE9vJ4TLmz5V+YAXS5zGvyF++YqgyTBkhxVEtosopKaecJU3Eiv8S8Pn7xtkkWXZcqXdYz+F8fbo+0/4w5dzLyzQSGwlLpl+9KVw+WLu/HNWyVf2+Rthw1sWFd/4kxlpsYw45Ji6Emp1B6doUZ76yrtMJ8fbhLulAs3TLKt7aOZkivrKudsKxSXGa+/r5JunWsNK6Pb23BN2UVJl4+m1t/rKXCLeUVm2T9+Tzpv6cyeRuhKcgvJRrndkv/2GQG/HafNDMG8kvMCz632AQhc9+T9pxyuqfBpbBU+t2H0t8/lU7mVD+uBaXSuTxp8RbzuOYU2tfm58ekp96XPt5n3pyrnseCUunz49LzK6V/b61efeOr8kpz3ryyziQUa547OYWm/NxvljKTFEDL8/pG60Rizc2qyyqlg+fMTFXUllVgVk7VTSTW3ew7v0T6yydm4Ka59p2RPjtSP5FYt62cQunlNc1vR5I+3iMdsUgk1mzL7TGB0T82+dYWYGXdfpNwqJtIrHsOns8z72N283jsu070pi20HLtPSr99z6zQyCs2JcDdFycm7johvbBK+tdnrG5pCo9HenuricE+P14dK+WXmMkpH+8zsdvnx+xrM6fQxJhvbjExZ9VqgMJS6VSO9I9PTYxaYDEYi5aj0m2un15eY66DCkqrX5MXiqRlu6Qn3zOTn+C93CLpt++b97IzudWvj4JSU9ryjc/MazK/2OmeNl9pufTcCumv600yurDGGE1WgbRkh/TkUnMt29rtOWW2NKibSKwbY2QXSgvWBq5fweTlNdaJxJqPYXG59OkhM1GuuSoqpVfXWycSa7ZVWCYt2W7vOCua7o1PrROJNZ+r8kqTIF6VFti+2Y14Bg0J6WTiG5+ZmYtWKwskqfLixdXrG83gBi6ttMJcwJ29YC7mrJRVSJkF0nMf2RPMpZ2S/rXZXCw29GZWVCZtPmxK0vnK7ZH+/LEZdC1u4NypmnHyp49NMAsALUFhqSltajUgmlhnFX5ZhRnc5yKxtlVp5tqgrrqPn2Rm0X9+vPltLdtl/Tlj1daFIrMCpDncHmnDwfpJHKu23B7pSEbD105Ac3g85v2mqsRWTVbn4LHM2iWefFFWIb32ifTrJWbw8Z+fmQmH/pBfIr24yqyQSM8wKyfgrP1nzGz+mmWo6ioqM5VPFm8JaNeC2rvbzcz7hj4rqqrI/GuzlHbS9/YKS01smVlgXtNWSitMjPrcR9bvNXCex2MGzfeebnyMJr/ETOo9ycRdrxSVmfM+I7/hc7+0woxbPLvCeqVaS1fplv64ylQds6rmIZkB/AtFZoJItk17kQarZV9YP05WMUZOIQnYuk5kmwUoVuo+hkVlZoVic21LNzGlN23ll5iJUXBGSbnJHXg11lIpbTwUnBPVTuVIzyw3VfnSM805CtQUssnEk9lmFqrVwNl9U2p/X3hxyTgDqpf28R4TxFk9VHUf1wuFZnWHL9xuM7vOKtio215phZl9lZnvW5u7T5qLhwqLgaa6bRaUmFrZCA5ut5khVLV3KhBqNh2yToQ1pLhMOpblv/4EG4/HTGDxVlml9PHe5rWVX9y0gY7CUmlVM4PHoxkNT46xbKtE2nKkeW0BVo5nNe0czC+VNh20p+1/fibtOG6uX8srTZnL93fac+y6/rJO2n/WzPQvqzTXzTt9mHAA37g9Zga5N3FEWYW08xgDqt7IzDel86ySFnUf16Iyk1D09bp76Q4TW16qPY+krHwGW5vL4zGDiCXl9SsZ2OHweTMQa3XsemM0pWb/b1zahzvN505ddR9TyfzeiiCc6LLliJksUGkxEFX3fuYVS//cHJButUi5RU1bvVbgQ4wRqlalNW1SW2Z+8xdSrN3XtPfbL2yYoIPm2XKkaedFSZm9q+y3vf87SdLBzYuVl5Fu34FrqHSb1d/HMs37SFmF9O4238fZGxOI+wV7hWw18Y92NzzbzWqPxJJyMxO/Xyf/9iuYuT1moLqygWCw7uPqkZR22rz5RDXzTNtzuuHZdVbPY9Vg61fHN689yZw7Dc3Ws2ozq8B8tU9ofpvwv3O5ZoZrTpFUXmHKwHxzspSS5HTP0Jrt379fb7zxhioqKpSQkKCIiAjdfffd6tSpeR9GViU3GlNcbhJavX3c9y9UlFc2fWJRc2d35xQ1/HnakPPNXAmfVdDwLG4rlR7pzIXmtQVYySpo2mvF4zFl2uxQd2VLpduUebZbYam5nzWVVJhr5xE97W8Pl3bwbNOu6QvLpI/SpLsn1v8Zqq3a0/BgmtXjWlphYsLh3ZvXXlmFmehj9fFs1V6lx5SdmzFMCgvZqdP2KyozVXfO55nJH3Pfk748RhrWzOfNyrIvGp5YYvVc5peYqgxd29rXh1BTUWmqZFhdv1o9pm6PWYl948jg2j9x9V7rhQKS9f08lW3OH6uVeC2N3fFgc2KMDKpt1ZLRxMRJ5cUyzVbn4qU0NZZ0u83rPiK86W3BN2cuWE9oaEhxuZngNKCzPe27K8u1Y9l8ZRzbqc59xtpz0DqOZNSPZ/JKpPUHpFvH+KXJgNwv2Cskk4keT9Oz/0VlZkYIycSGHcts+gzFsnJTxqS5gyhr9zX9wzXtpKRmJhMLSppeg7yg1AwU3TSyeW22ZluWzNW4W36kM4c+VWVZiboPvdpvbb2+qXZJ2nN5ZkXyozP91qRjAvm4wjcLFy7U3LlztWTJEoWFhWnbtm2Kiopq8Pdnz56ts2cb3pSh66TH1G7g9eZ3J9YOoLu3k74z1fw/v8TM9q6sKNOvfvmk8o59Ysv9cULvGU9p2pM/tOVYrrBIDbxjkSLj2kuq/RjWfPyk6sfw9OlTmjbtnia3FdOun3pN/60iY5O9bmvfvjRNm/dwk9tK6jtV3a96XK6wcK/bev+9d7XgJ39ocluAlTa9rlL3Kf+jsHDz/ubNOfjRig/12s/m+dx2vy/9SbHt+tW6be+eNE37XdNfS40Ji4hR/1sXKCoxpdbtn21ap8W/+T9b27JTSkqKFi1a5HQ3/GLtvqZNpJBMWVQ0rqllS0vKpXX7mp9M3NvI5NKGlFea0lx9gzy2D+Q1/ZufmXi/SlaB9M42aXAXewatyy6WoW2KwlLpkwO+TRQOdQfOmomyTVFeYVaIDurinz7ZLTO/4TKQDSkqk7Ydla4e4p8+2amp8aDUeEwY036gek9/UhExZta0N9dcabt3adrTj9pyf5xgZzwoSX1vel5xHQdL8i6mzr2Qo//+r/+n0gvpTW5rwO2vKbpNN6/bysrO0syZd0me4Cy1ZfdzFUhdxj+o9kO/LMm758rjduvpp36r3COrvG6j7w3PKq5zquXPwsIjNWrmHB3cvLjRY+xJS9O0p5sX58S0H6jeM55SRHT1ahmPx603Xv+Lnn/8H806puT8/aopmM/Bxvhyv5oaDzqeTExPT9fChQsVExOjo0eP6oEHHtCWLVs0efJkpaZan2iXUlohydX0v7PaXBfV8oqbkUys9O1xzWvGBuFuj/kKa8Y5kF9iPev1Ulp7Tf7m8ngqtWPZfOVlHlO/0V/yWzsl5dbnUm6xmR0b2/i1etAJ1OMK3yUnJ+v555/X8uXL9cQTT6ht27bKzc1VcnKy5e9f6gN+82HpzS3mvbpuaajvTJVeXF37tjbxUXrpmZ+pUxsf7oTDXlglLfh/K2073i/frZ6NV/MxtHr8JGnYgG56cWXT2y8pl36ztPq96VJtuSTdOCVVtz7S9LbOXJD+uLK6BO6l2oqKkOZ8+0sa8yveP2CPjDzp2Rp7aV/qHIwMlx78xvUa/4vrfW572a6LKxouDrbGRkpf+1KqLn/UvveNKq+tN2VNq1aIt4mRfvDAZHX/sf1thRp/xIQN7XfUKA8z/hvj8TRv/59mPRc1/rahfRIbUlZpZtIHu0Be01utBs8tNuXw7ZhwXVSmZo3RWJXvRLW8kqYn20srzLhHsMgrbtpqIMm8T9VdXdNSNTUelBqPCYvLpCffa1qMccvUy3TzY8F7rWJ3PPjvLWYig+RdTN2uXVvNe2OBopsxwv6Hj6oXw3jTVkqn9vrjRyua3lALYfdzFUg7jkn/+NRck3jzXCXEhukPv/0fdW37P163MX+5mQzli6GpqfpzM+Mcj8fsrVuzDx0Tw/Tkk99WXPS3m90np+9XTcF8DjYmkPfL8WTi/Pnz9fTTT+vEiRNavHixBg8erBUrVigmpuH14TfffLMyMjIa/LkrLFKjvvmuouLaSTI11GsuN++SJM2ZUf19QYm0YK20e9cOTfj5d3y+Ty1B6h0LNOHn99l6zOTek9R/xi8VERUnqfHHteox9Xjcmvf0b/V42rvNanP4nX9VfMeBl2yvZpvZ2VmaeMWNzWovJrmHht7+J6/Onar2JGnZB0v0wg9+06w2G+OP5zGQhs16RQmdhzb4c5crXKNmzvnPbNvG7N27RxN+8a1m9cMVFqERs99QTFLtKdHnzpzU1KvvkscdXLvQ2/W4+vKYWgm287Vjx45aunSpo3144oknJEmnT5/WpEmTNGnSJJ+ON6q32QvM20G7pFgFdSLRHyb0M8kHbwYtYqOkGcOb105MpNSng7TzhHe/nxAjXTO4eW11STYzJ73dTzM2krKMsFfHNub9xtv9ZOKipNG97Wl7xnDz+tmebiaaTRxg37Hrmj1R6pBgVnxERZi2u7f3T1uhxh8xYeodC5SYMkxSE+KInGxdOelGNW96Ycvir+uy0d96X1Hx5sT29nE9euSgJky4u1ntdRx6i/pe8yO5LtYsrdlmQ+2VFBfpRz/8qS6kr29Wm4HSUmIlSRr21VeV0Kn2hUZRfo6+fc8DKsk51uzjVomIbavL7lrk1blTM87etGGtXnvicZ/bbwn88ZrsMGim+l77Y4WFR0ry7vVRXl6in/7v/yn7kMUsuRYovtMQDb7lmf9U8/D23Hnj73/V099/4ZLHdzomtDsejI2SerTzfh/4hBhpSjNjjFA1dagpH+xt0r1fJzUrkShJ04dJr673bm/xcJc0aUDz2oHvLuthVux7O8EpMcbeMt1jbvyBJGnA5V+x76B1uFzSf18jvbPdbBWVGCPdMlqKi/ZbkwG5X7CX48nELl266Nlnn1VaWpruv/9+7d69W506dVJWVpb69etn+TfefND/4m1TK1yqvpioMmeGyYrX5HJJX54+Sq/88NPm3I0W55ll0sLH7L0v2QXS75dVD0Z687jGR4fp+af+Rz3bez8To6Z/fmZKiHrbniR1S2mvFz5t3n0vr5T+753qiwZv2owKlx7+9i0a/5tbmtVmY/zxPAbSvA+lE9mX/j1vDBkyVAua+bxK0hufSluPShUXq0GEh0lTRnfXS98NvvKOdj2uvj6mdQX7+eqkuXPn2nKcyHBpbB9T077uLOW6wVBclHTjCFuaDSmTBkobDtZfVW8VTLaN8222/vUjzEzUukm+um1FhEm9O0pJcc1v64YRZiZl3f2k67YVHSFN6M+qHNjvppHS3zZ4dw6O7WPez+zgcklXDjRf/hYeZvahQtP5IyZ8e6u0br9JC3obR3Tp1E6ffrqpmfeiZfHXddlvllbv4evt4zptwgC9/HDz+nI8S/rTarOnZd02G2ovOTFOry/4XYvf074lxUrrD0jvfV57i5HBvdvqjx/+0/fOyezz9fN3qldLeXPuRIRJ37x9iq7539CIL/zxmjydI/1xVfU+pt68PpLiY/SXF36jzkEyobCoTPrNkqaNQ8VESj997Bsa3v0bgemkDeyKByVzzXUs89IxRniYiWXaxNrWdEhoGy/1bC/tO1N//8m6j2FCjDTzsua3NTBFSo61TibWbSsx1kyKgzPCw8zjv3qPd2MtN/hwXjgpNkq6a4LTvUBL5ngy8fHHzSyzxx57TGPHjlVUVJQmTPD9rL1yoPThrurEwaXER0lTBvncbEhrl2C+vF3ZIJk30B7tmt/mtUOlXSeqL44vJTJcmupDXfzIcGloV+mzI97/TVSk/2a4h7pxt/xIktSlv/8/qWZdbi709p423w/uErqJlEA+rmh5bhppNo3ff6b2RW7NUhxxUeb9dWi3gHevxYuLMjOe/7ymdnnkmo+fS1KHRFPOxNWMkl1VUpKkOy6X3txc+7O1ZlsRYVK3dtI3fJukrOE9pLO50sd7aydzarYVHWHOiZnNXG0JNGZIV2laqrQyrfFzcFAXEnKtkT9iwquHSNvSvY9dIsKIB71xzRDpra3eb3+REG2uOZqrZ3szI77Qi1UbVdrFq8UnEr0RyGv6Kwea1dubDpkxlG5tpa+Ms+/4YWHS2N7Sx/tMGTVvxESaCU5oWNe25jXm7XiJZBJHwZJIlMy1ee+O0u4m7NcaFSGldvVfn1q6LsnS7eNMuc7GYowe7UxVBdR3z5XS8ytNwr7muHLNxzAhWvrq5b69nlwu6TvXSs+tMKV5a7491mwrKVb6r6vN+yKcM32YmVCVdlIqaWSsZfJg6TIq/SBEOZ5MrDJv3jxbj3fFAGnNPu+WpYeHSb06MBvHGzeOkF79RCr2oipkTKR03TDfBlo7JJrB1iPnvSs2FBsljenT/PYkadowafcp7y7II8OlMb3tmz0P/wkLM0mWm0Y63RPAv1wu6ZtXmdV1a/aZQfuSMjNAFBMlJceZ9/IhrTjAvpTu7aSHp5syJscyzWdeeaX5XIuOkFK7STeNMoGCr0b0NLNf391uApPiMrPPS3SkFBMhje9nPkvDw3xv67phZtDpg4ulcEvKzIBeTJS5L9cMka7o79vnNtCYqUPNANf7O6ULhWYFjLvGOThlkBnQ5hxsveyMCdvGm8kYB896t89fbJR5z0XjxvQ25cC9KanuktQ5ycR0vrhumElglngRg8ZGSjeM9K291mriAP+uepkyRNp8xLsEf0SYNLhr6O1t7w8zLzMVnbx9fVwfhKtlrr/MjAnVrW5gJTrClIIMs+HaOZiN6mUmVry73Uw0/U+MEWGuuyb0NWNfdsQYoSgqQnroOumj3eZ9q6RCKi03sVNCjEkg3jrGxI2+ahMrPTrTrA5PO2Vey+WV5rmJjZJ6d5BuHW0Wd8BZLpdJwH962KxQrBprcbnMWEFSnFmRmNr90scCglWLSSbaLS7KzCT5yyf1k0I192sJd0kdE32f8d9aDOoiXTVI+mR//YRizcc1JtLUk768r+9tfnuy9MxyM0un5kBA3X13EqKl+682H/q+6Jgo3TbWzOKqe7Fas83IcDNT9pZRvrUHAHarKus3aYB0MlvKKjTJxC7J5j0Ol9Y+Qfr2FBN4H8mQ3tthAsZ+newvAdqzvfT966TcIlPOrcJtZp/27mieNzuldjNfGXnSmVzzudohwaxAIIGDQBjS1Xxl5EtnLphzsH28GYzhHITdvnmV2aYhM7/xOCI+WvrWZDORA42LijAx10ur6yeFaj6uYS4zkP3tyb63Oa6PSSR8frx2wqTu8xgTaa5/BnfxvU3YLylWuusK6fWNjcfZEWHmmvXO8QHtXtAa1cuUzd969NKvj/H9TLWKYNOtrSnZ//7O+uUga97PqAipbyczAQFm0cRD0832DSf8HGOEoohwsy3FjOHS0UxTteaj3dJ/TzWPo53ioqVZ46WKSvN6Liw11yR9OzKpoqVxucwE3An9pFM5UmaBeT2lJEmdgmjVN9BcIZtMlKT+naUHrpH+ukEqKq29z0KYyyQc+3Q0swoIHL13wwgzc2bFbqmsvHpp94K15uItOsIEcdN9XJVYJS5aemSm9Nf1ZlC88OJKiqpa+fHRZlPYe640QYcdxvQ2s/be3GIuyItrnDsRYeZCfFh3U56OmVwAWiqXS+rR3nyheWKjTPJt7T4zocafkuKk4T7si9gUHduYL8ApHROZ3AD/i4k0s/3/ukE6nmkSGO6acUSUFB9jJpbasbqgtejeTnpwmvTaelMJqOZ+bS6XeVy7tZXuucqeVfwul/TV8SY5+cnFfaHLKqqfx+gIE89PHxaY/VHRfKndTOL+H5+aGLuoRpwd7jLXXQNTTNKR/Zu9d/tYs5f3mn0NvD4ipGuGmioUwerKgWYC+TvbzQqxqsntC9aaid7RkWYc50ujSZTVlRxnvtA8YRf3lpRMKWi7E4k1RYT7P+aEPVwucz3E9SNam5BOJkpmAPXHt5iZ/uv2SdmF5s25TwfpykEmCYWmu3KgmYnxxQlpy1ETBJy5IN02xuwfaPeFf1yU9MBUs2pj3X7zfLo9ZuXIlMEmWLXb0G7ST7tKh85J6w9K+cVSZIQ0OMWU0aVWOQAAANCyxUSafYbyi00ckZ4lud0mMTV5sG/7u7dmXZKlH91k9pNau8/MzD+VLU0aKE0eZCbI2MnlkqYPN+WSdxyTth8zkz7joszKxeE9mOQZLPp3ln5yi5SeaSoeXSgyyaB+nU1Vjfhop3sYfFwu6dpUMzby+XFpe7pJtsVGmb0qR/QMjdfHyF5mH7L9p6WNh82qxKotCC7vZ/4PAAD8p9V81PZsL82mlKmtwsPMxdzIXub7Z5aZCzh/SoqTbg5gWVGXSxqQYr4AAAAABKfEWOnGkU73IvR0bWtWkUkmHvR3rBYRLo3ra74QvFwuUyWqT0enexJaIsKlsX3MV6gKc0lDupkvAAglvu4xbdcx7Baq96u1ajXJRAAAAAAAAAAAgJZk9kSne+AfoXq/WiuSiQD8pn1CyzxWsLPrseAxBQAAAJxBrAQAAIBgQjIRgN/ce5XTPQhNPK4AAABAcOOaHgAAAMEkBLZgBgAAAAAAAAAAAOAPJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAlkgmAgAAAAAAAAAAALAU4XQHAABA8Fi0UcrM9+0YHRKl2RPt6Q8AAAAAIDDsiAclYsJAIX4HYCeSiQAAwGuZ+VJ6ptO9AAAAAAAEGvFgcOH5AmAnkokAACBoVFRKO45JGw9JxWXShUJp7T5pQj8pOtLp3gEAAAAA/Ol4lrQyTcrIl7IKpH9+Jl071KygQ8uSXyyt2SftPyOdz5deXCVdPUQa1EUKczndOwBNRTLRR69+Yj647NA+Qbr3KnuOBQDBjPdWWNmeLr273SQRyyqrb1+6Q1q1R5o8SJqW6lj3AACtENcsAAAERk6h9PIaKbdYKiytvn3TIWn3SalrW+lbVzHJtCVwu6U3PpP2nZYKSiW3x9y+/6xJBsdFS/dcKfVs72w/ATQNyUQfZRVIJ7Kd7gUAhBbeW1HX1qPSW1ulorL6P6twS3nFZnZqWYV0w4jA9w8A0DpxzQIAgP/lFknPrZByiqx/nl8iHTwrPfeRNGeGFBke2P6hmscjLVwnHTgrlVfW/3lxufl6eY10/9UkFIFgEuZ0B2Cf0grps8Nm1UZOobTliPWbNlo2j8d84L7/uZRdIH2818y6AoDWqqjMfLZZJRJrbgRfUi5tOCidzbW3/dJyk6SsdNt7XAAA7OTxSAfPSR/svBhH7JEuNDDoCsD/SsrNiql3tpkxmh3ppmQ/gKZ7bb11IrFmPOj2SGcvmM9BO7k90vk84kFvbU+XDp2rPyZd87mSTAL4tfXm+gXwt6JSM67jDrHzLacwsNcWrEwMASXlZrXGntNmwLPqzfrNzdKSHdLw7tKtY6Qonu0WzeORPjkgrd5jnsficnP7kh3SqjQpJVn66uVSxzaOdhMAAm7DAXPhZyUxpvb3haXSii+kb1xpT9vLdklbjpoLtLnvSTdcJo3qbc+xAQCwy4YD0sqLcUTV5JslF8uAd2ojzRovpSQ520egtSgslRZvMaukSspNFQ3JlPx7a5s0prd000gpgpVTgFdyCs3+iFbqxoOVHmnHMfMaC7dhCc2xTOmNT6W8EvMZ+49PpTvHSy72+2vQqj1mwUtddZ8rycT5B89JA1P83y+0Th6P9K/N0r4zZoXzU++b13Dvjk73zDcFJWYFcGa+ufZ/cZX0rcn+L/PMysQgV1Qq/X6ZKf9WUFJ71kdZpZnl8dkR6Znl5kMPLZPHI/19k5k9daGoOpFY9bOCUjOr59mPKKMEoOXa9v7vJEkHNy9WXka6bcfdcsQEhd46fN6edk9mS+sOmBJ2bo8JYJd+bgaFAABoCTwe6Z+fmc+nnMLaq/g9MnHEkQzp+Y+k9Aynegm0HnnF0rwPpc+PmddfRY2VTKUVZoxm/QFTipFKUghF/ogJPz1kXjveKikzY2i+8njMJIAzuWaSQIVb2nZU2nzE92O3BP54ri4UNe25Ki6X1uyzpWnA0vZ0kzfJKby4ejnXvK6DfYXi3zdJRzPM663SbfYjXbzF/+2yVi3IvfSxlJFnAsWGVLqlc7nSgrXSg9MC1jU0wao90hcnLz1AXVBiaoo/fqMUHx2QrgHwo/379+uNN95QRUWFEhIStH37dv3zn/90ulvN5q4s145l85VxbKc69xlr23ErmlhOxu0xZR58ne295Uj9FZHZhSZZmdrNt2MDAGCHdfvNCoxLxhGlZvbyD2+QEmMD0zegtXF7pBdWmevFxlS4pdM50l/XS9+eEpi+oWUKtXhQ8k9MmHWJ11RdJRVNS2g1JLvQTBCoqcIt7Twuje/n+/Gd5o/nKq9Ycjcxfs+lJDv8aPux+pN38kvMir5OQVz9L9NitfaZC/5vl2RiEDueZU4cq0TifVNM8rCK2yOdvmCy73aWtykqlT7cZY6dWWD29ksiOG2SSre0bp/1AEDd51GSCkukT/ZLMy8LTP+AxlRUSqv3SvvPmD0EzlyQuiQ73avgsXDhQs2dO1dLliyRx+NRfHx8o78/e/ZsnT17NkC9s9b3hmcV1znV8mdh4ZEaNXOODm5e3Ogx9qSladrTD3vd5oDb/6roNl0lmX0WapZH6d5O+s5U8//8EmnRRik7O1MzZ9ylxqfaXFrbgTeoy4TvKyy8uk5ERUmufvjwoyq9cMynYwNAS5CSkqJFixY53Q00k9tttkjwNo4oKDWz/28eZV8fPB7p08Nmpca5PLMSpH9n+44PBJODZxseFK/7mqxwmxUFF4qk5LjA9A8tT1PjQcn5mLCxeFDyT0zY5YqH1H7wLZK8iwfdlWX6za+eVN6xT7w6fkPCIuPU70t/UnRil1q3f7Jqif716+d8OnagBDp+j07urT4zn1ZEbFtJtZ+vms+VVP18Hdifpmm/9358AGiKLuMfVPuhX651W07mWc2+8wG5ywoc6pXv+t78R8V1GFTrtv17d2ra7x9r0nGaGg+STAxiy7+oXcampgSLOtSFpdLKtPob3jZXWYX0h4/Mcv8qz38kPTzdun1Y++KEdS1xyfpxrPSYTdynD5fCqNEOh/15jRk0qioP8NJqU6O7VwdHuxU0kpOT9fzzz2v58uWaNWuWDh8+rHPnzqlzZ+tRuJYw4Dt/uZSe6dsxhqam6s+PrvT6919eI6WdMv9ftLH2z74zVXpxde3benbtoD+u/Mi3TsrMXnt2uXQyx3wf5pIu65uk5xcv9PnYAAD4au/ppsURHo/ZB/iGEfbsIyWZEqvb0qtnfP/lE+nWMdK4PvYcHwgmy76ovWVJTQ2N0Xy8V/ryGP/2Cy1XU+NByfmY0I54UGpaTJh2SvrbBjN5xpt4MCk+Sv/3h5/ZkqhfvNmUNS27+DnXIUH6xY9vUVLsLb4fPAACHb9XVEq/fNcsNpFqP19Wz1W4S7rjulRNf8T78QGgKfJLpOdWVO+7GhkuXTEqRS888I6j/fLVliPSO9vNtYQktYmRHvjaCA1+zL+vJceTienp6Vq4cKFiYmJ09OhRLViwQLfffrtee+01JSQkON09n21ZMlfjbvmRzhz6VJVlJeo+9Grbjl01uNkUdu0jJZma5efyat+WkS99lMbFcFPsPtXwIEBDKt1mxmPbS09aA/zmeJbZw7NmnfHcYun9ndJ3r/Vv2/58bw2kJ554QpJ0+vRp3XPPPbrnnnsc7pFvxtz4A0nSgMu/YutxZw43AVBh6aV/NypcunaoPe1Ghkvfu05alSadypEGd5EmDbTn2AAAg3iw+dJONX0fX7fHlG3rmOh7+4WlpjpFzdJRVckRkolojbIsSo41xiNp32lJjJ+0WqEWD0r+iQmHdJVio7z/zOuYaN+K39vHSX07mxX4beOl6cOkNiFSkc0fz1VEuDSsu7ThoHe/Hx8jXTnAtuaBehJjpIemSyu+MNfAo3tLo3s53SvfjesrdWwjrdlrJglemyp1TfZ/u44nE+fPn6+nn35aJ06c0OLFi/XBBx/oiiuuaPRvbr75ZmVktIzd44fNekUJnRsetfR4KrVj2XzlZR5Tv9FfavRYe/fu0YRffMvrtkd/c4miEjpJMiUzas5065IkzZlR/X1BiSmpcfbsWU2YcKvXbTSm77U/UaehN9W7/d3lm/TbBx+xpY3WYOANc9Wu39X/+b7mc9nQ85idk60v3/6ASi4cD2xngRraD5ypATN+Xu/27Tv3asKPv+nTsQPx3tqxY0ctXbrUp37aZe7cuU53oUXr0d6Uzz1yvv4m2XX3wmgbL43saV/bMZHSjSPtOx4AoLbmxINSy4kJnYwH+0//hToMqg4WvIkjcrJz9NU7v6+irENet9OQuA79NeTLf1RkTO19NA4fPa4JE2b5fHwg2Iz+1vuKim8vyfsxmmMnTmnChNsD3FNUaSkxIfFg48Jc0oxh0rvb66/+rRsPJkSbFfJ2cblM4iEUkg+BMn24tPtk9erEKnWfq+gIaUQPKS46cH1D65QYYyYGhJreHaR7rwpsm44nE7t06aJnn31WaWlpuv/++3XkyBGdOXNG6enpGjZsmOXftIQP+irzPjQrcxricoVr1Mw5/5mJ2pghQ4Zqwaefet32L96Wci7W46+7H8acGWYpe13duqboxSa00ZgvTpoyA2U1VtWFuaRv3naFpjxhTxutwb8+kzbWiOVrPpcNPY/t2rbTe+/8i3KycFROofTM8vobkk++fIgWPOrbe4CT761ome6/Wnphpdmjt+YKiKqyKeEuqV2C9OA0MxsSABAcmhMPSi0nJnTymuXtbdLafdXfexNHtG3bVm+9uciWFRvlldJv35My62w3M3RAT/2Jay+0Qj99qzo28naMpl/vbnqJ1wtwSRP6mwpda/fX3vKpZhnNxBhp1uVSz/aB7x+qJcWa+P3lNeY9sWo+cM3nKibSrDj98lgHOgig2RxPJj7++OOSpMcee0xjx47VxIkTNXv2bId7FRyG9ZDW769+U76UcJc0prd97ad2kwZ0NqVTS8qlqAipRztpEsvTm+TyftLnxxve/9JKfDT7UsJ5beOlsb2lz46YklbhYaacCBeD8IfoCFOa4rPD0pp9UnGZWaUY5jLlSCf2l64aJEVHOt1TAEBTEA8237g+0taj3pUBrxIbZV/pt8hwaVqq9MEuM1jokpnYc0cIzvwGvNG/k7T9mPe/HxEuje/nv/4AoWbGZdKgrmZrlXO5ktttbg8LM+OTM4ebsn9wXvd20g+ul1ammTHPSo8kj1npmRxnVpqmdjffAwgejicTq8ybN8/pLvjFuFt+JEnq0n+C7ceeOkTakS4VeBk8xkZJV9m411OYy5TuOHxeOnDWLK0d3NXcDu/1ai/FRXmfTIy6GLQDLcEto01CfEe61CFRGtUrMKvC/PneipYrPEyaOMB8XSiSikpN8rBdPEEIAAQ74sGm697OlHPzNpkYGS5dM8TePkzob2LAzUdMTDO2j1ltALRG1w2T9p/1/jUZEyGN7+vfPgGhpncH6cFrzRhabpFJJLaNMwsc0LIkxprJ5reMlrILTEWDxFizghRAcOKtNoi1jTeb2m4/VrvUqGTq79cUHWE25rR7NZvLJfXvbL7QPC6Xqdv8tw31E4p1n0eXpPYJJmEDtBQpSdL1I5zuBVqb5Dj7VlYAABCs7rhcemXdpeMIyUy+GeeHxEVynDS94Yq0QKvRJdmsTtxzunZZfqn+azImUpoymKoaQHPFRZkvtHzhYawYBUIFycQgN2u8VFoh7T1tSo1WqVmfPzZSGtFTumVU4PsH7wzpahKKb22tPYux5vMYEWZWfn3vOvYDA+CcDokt4xgAAMBM6px1ufTmlsbjiHYJJo6IJI4A/OobV5rX35HzZqymSq0xmijpin5mJSMQbOyK5YgJA4P4HYCdSCYGuTCX9I1J0u5T0oovpJxCU4fadfFnHRKlGcNNsgot25jeUre20rJd0qFzZi8wj8eUbIiOMLMWr+hP6QYAzpo90ekeAACAmkb2krq0lZbvkg6cM3tIeTxmJUBUhDR5kCkRThwB+F94mHT/1dLOY9JHaWY/0ZpjNClJ0vWXSf2o7oQgRTwYXHi+ANiJcCIEuFzS8O7m60KRqUPtcpkyNkmUgAsqKUnSvVeZVabnck1plIQYqXMb9gMDAAAAYK1zG7MiqmYcER9t4gviCCCwwlzSqN7mK7vAjNO4XFKHBLNfGAAAQDAimRhi2EMqNMRESr06ON0LAAAAAMGEOAJoWdolmC8AAIBgF+Z0BwAAAAAAAAAAAAC0TKxM9FF7G2eY2XksAAhmvLcCAIBgwDULAAAAgNbA5fF4PE53AgAAAAAAAAAAAEDLQ5lTAAAAAAAAAAAAAJZIJgIAAAAAAAAAAACwRDIRAAAAAAAAAAAAgCWSiQAAAAAAAAAAAAAskUwEAAAAAAAAAAAAYIlkIgAAAAAAAAAAAABLJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAlkgmAgAAAAAAAAAAALBEMhEAAAAAAAAAAACAJZKJAAAAAAAAAAAAACyRTAQAAAAAAAAAAABgiWQiAAAAAAAAAAAAAEskEwEAAAAAAAAAAABYIpkIAAAAAAAAAAAAwBLJRAAAAAAAAAAAAACWSCYCAAAAAAAAAAAAsEQyEQAAAAAAAAAAAIAlkokAAAAAAAAAAAAALJFMBAAAAAAAAAAAAGCJZCIAAAAAAAAAAAAASyQTAQAAAAAAAAAAAFgimQgAAAAAAAAAAADAEslEAAAAAAAAAAAAAJZIJgIAAAAAAAAAAACwRDIRAAAAAAAAAAAAgCWSiQAAAAAAAAAAAAAskUwEAAAAAAAAAAAAYIlkIgAAAAAAAAAAAABLJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAlkgmAgAAAAAAAAAAALBEMhEAAAAAAAAAAACAJZKJAAAAAAAAAAAAACyRTAQAAAAAAAAAAABgiWQiAAAAAAAAAAAAAEskEwEAAAAAAAAAAABYIpkIAAAAAAAAAAAAwBLJRAAAAAAAAAAAAACWSCYCAAAAAAAAAAAAsEQyEQAAAAAAAAAAAIAlkokAAAAAAAAAAAAALJFMBAAAAAAAAAAAAGCJZCIAAAAAAAAAAAAASyQTAQAAAAAAAAAAAFgimQgAAAAAAAAAAADAEslEAAAAAAAAAAAAAJZIJgIAAAAAAAAAAACwRDIRAAAAAAAAAAAAgCWSiQAAAAAAAAAAAAAskUwEAAAAAAAAAAAAYIlkIgAAAAAAAAAAAABLJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAlkgmAgAAAAAAAAAAALBEMhEAAAAAAAAAAACAJZKJAAAAAAAAAAAAACyRTAQAAAAAAAAAAABgiWQiAAAAAAAAAAAAAEskEwEAAAAAAAAAAABYIpkIAAAAAAAAAAAAwBLJRAAAAAAAAAAAAACWSCYCAAAAAAAAAAAAsEQyEQAAAAAAAAAAAIAlkokAAAAAAAAAAAAALJFMBAAAAAAAAAAAAGCJZCIAAAAAAAAAAAAASyQTAQAAAAAAAAAAAFgimQgAAAAAAAAAAADAEslEAAAAAAAAAAAAAJZIJgIAAAAAAAAAAACwRDIRAAAAAAAAAAAAgCWSiQAAAAAAAAAAAAAskUwEAAAAAAAAAAAAYIlkIgAAAAAAAAAAAABLJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAlkgmAgAAAAAAAAAAALBEMhEAAAAAAAAAAACAJZKJAAAAAAAAAAAAACyRTAQAAAAAAAAAAABgiWQiAAAAAAAAAAAAAEskEwEAAAAAAAAAAABYIpkIAAAAAAAAAAAAwBLJRAAAAAAAAAAAAACWSCYCAAAAAAAAAAAAsEQyEQAAAAAAAAAAAIAlkokAAAAAAAAAAAAALJFMBAAAAAAAAAAAAGCJZCIAAAAAAAAAAAAASyQTAQAAAAAAAAAAAFgimQgAAAAAAAAAAADAEslEAAAAAAAAAAAAAJZIJgIAAAAAAAAAAACwRDIRAAAAAAAAAAAAgCWSiQAAAAAAAAAAAAAskUwEAAAAAAAAAAAAYIlkIgAAAAAAAAAAAABLJBMBAAAAAAAAAAAAWCKZCAAAAAAAAAAAAMASyUQAAAAAAAAAAAAAliKc7gAAAAAAAAAAAADQ2ry0WsoptP+4beOlB6badzySiQAAAAAAAAAAAECA5RRK5/Kc7sWlUeYUAAAAAAAAAAAAgCVWJgIAAAAAAAAAAAAXlVVI249Ja/ZKuUWSR1J0hDSqlzRlsCkj2pqQTAQAAAAAAAAAAAAkrd0nfbhLcntMUrFKSbm0br+06bDUr5N0zyQpOtK5fgYSyUQAAAAAqGHhWimrwL7jtU+Qvj3FvuMBAAAAAPzj3e3SxoNSaYX1z90eqbRcOnBGmrdMenSmFNMKEookEwEAAACghqwC6fQFp3sBAAAAAAikzw41nkisqcJtYseX10jfv87vXXNcmNMdAAAAAIDmqKiUyiud7gUAAAAAINi5PdL7OxtOJP745vq3Vbql0znSiWz/9q0lYGUiAAAAgKCRUyit2SdtO2qCvSrDu0tTU6XObZzrGwAAgC8qKir06KOPKj4+Xlu3btUvf/lLTZgwweluAUCrcPBs45NVoxrIphWXS6v3SPdc6Z9+tRSsTAQAAADQ4nk80nufS099YDa8LyiVisqqvzYfkZ5dLv19k+R2O91bAACApvvTn/6k2267TU8++aTi4uJUWlqqX//61/rDH/7gdNcAIOStP2gSg82x55SJWf1lz7pXlXHsc0nS2r/N8V9DjSCZCAAAAKDFe3e79Ml+qbjMOkjzyCQVPz8uvbrev4EcAACAP2zevFmXXXaZysvLFRUVpfXr1+vHP/6x8vPzne4aAIS8C4XN/1uXy7t9Fn2xb8Pr2rFsvnLPH/ZvQw2gzCkAAACAFu3weemzw9bB2UPTpedWVH9fViHtPyNtPSqN6xu4PgIAAPjqxhtv1MMPP6xevXqpc+fOTfrbAQMGqLDQh5FwAGjlpj30gdr1GPmf7398c+3Spokx0i++XP19WYX066Xm/3l5eRo4cKwqSgua3O6MH6xRUueBl/y9wZO+ro69RiovI92r4x44eEBdu15t+bP4+HgdPHiwCb0kmQgAAACgmT4/Ji3fLZWWS9ER0vTh0qhe9rez/IuGy83ERdW/rbRC+iiNZCIAAKGkpFzadNCUNi+pkMLDpEEp0tShUvsEp3tnj1mzZmnWrFlauXKlTp06pf79++vJJ59UmzaX3hS6qYPCAIDaXlkn7TpR/X1VorDKL74s/ext679NTGyjY0cOyOVqertPLpXO5TX97y5l4ICB+svp07Ydj2QiAAAtQHFxsR577DHFxMRox44d+vjjj53uEgA06uBZafEWs3dhlcVbpPgoaWAX+9rJK5ZOZjf97wpKpFM5Ure29vUFAAAEnsdjJgmt22cmF1XW2Bs5K1/aeVzq0V765lW1V5AEs2nTpv3n/5MmTXKwJwDQelw50MS5zdk3cVh3NSuR6K2hk+/9z/+n3D3ffw01IkQ+YgEEu0UbpUwftwDokCjNnmhPf4KNHY+f1LofQ6f98Y9/1IMPPqjU1FTNmjVLb775pg4dOqRJkyZp8uTJTncPAOpZ/kXtRKIkFZZKK3bbm0w8m9u8/Q9LK/yXTPz03z/X5bf+RJK0+Z1facLtP7e/EQAAIEl6d4f06SGzMrEuj8z1yIEzpuz5nBlSRHjAuwgACAEDOptJKU1NJsZGmlXyoY5kIoBmKaswg3QxkVKkDRfqmflSeqbvx/GF22OCE4/HfAiEhTnbn6ZoCY8ffLN792498sgjOnnypPr376/jx4/rf/7nfzRv3rxGk4mTJk1STk5OAHsKAMb4b72ppC6p9W7fvjNNQx++w7Z2OvSfouFfekqRMYmSzB6JNUubdkiQfnRT9fdFZWYwsbyiUj/56a90cvs/m9zmhG//W21ShjT6O58vf87r4+3bt1dD/9/tTe6HP7Vt21YbNmxwuhsAADTq8DnpswYSifdNkRasNf+v9JgJSO9sl74yLrB9BACEBpdLummkqbhTWlH/52UWt0WESd3btY6KOCQTAXit0i3tOCat2mNKh0mSS1K7BGn6MGlIV/8u5/aXghJpzT5p29Ea5VJc0sAUc786XXprAsBn11xzjR588EGVlZVpxowZOnnypCTJdYkXFQPBAJzyj03SZ0fq3z5tUqpe+cEe29o5miG9vMYkCSWTKKzpRzdJc9+r/3fRkeGa+6ufaXTvnzW5zafel05faPx3Rs54SJJZmXgpgwcP0St77HtMAABoLT7Y1fAKkYSY2t9XuE3J01tHszoRANA84/qa/Qs/2V8/oVh3D8WIMFPl7b4pgeufk0gmAvBKUZn0wkrpfH79WRh5JdJfN0h9OkrfnhxcF+1HM6S/fGISiu46JdS2HpX2nZZuGCFNHOBM/9B63HPPPbrnnns0b948jR49WuHh4Zo7d64mTqTuLICW6eZR0tFMszq+6jO0UxvpllH2ttOzvRTWjMlKkeHSYBvLrQIAgMDKL5HO5Tbtb0orpM+PS2P7+KdPAIDQd9NIqW2c9N5Oye2un1QMDzPx5sAUs11UqOzXeymt5G4C8IXbLb24yuw71NCWRSXlZoPa19ZL3w6S2Rjn86RX1pkApSEFpdJ7n0tx0dLIngHrGlqxxx57TJI0YAAZbAAtW0KM9OhMaf1+k1RMzzTfx0Ta2054mJkdunZf/Yk/jenf2Xx++0PNPRLZL9F36enpWrhwoWJiYnT06FFNmzZNpaWlGjNmjIYNG+Z09wAADskqaNpnv2QmP5/MIZkIAPDNpIHS+H5mxfvHe6WcIqmwVGoXL43pLV05SEqKdbqXgUUyEfCzYxnSpsNmyfOVA+0fYAuEL06axFvda/jZE6VFG6u/r3CblX5nc6WUpIB2sVne2mqdSKx7v4rKpKU7pBE97CvjmpkvrdtvZrFMHhwaHz4ej7TntPmQ7dXefOAG0ypVAEDTxURK0y7mep5c6r/rnGuGSFuOmEk+dVWVP60pLkq6/jL/9AX2mz9/vp5++mmdOHFCixcvVk5Oju677z699tprDSYTb775ZmVkZAS4pwCAQEpIGa5BN/1OkbFmgOG+KbVLm3ZJkubMMP8vKKneP/Eff/+H5n732Usev2PHjlq6dOklfw8A0DpFhEtj+pgvSfrpW9JPb3W0S44imQj40bJdJmFUNci19aj0/eukeD/NkveXlWnWm84mxtS/raBUWvGF9I0r/d8vXxSUSKdzrH9mdb+KSqVD56QBKb63/cUJs5FvbrH5fscx6d6rTBm3YPaPTdLOE+Zc2XpU2nJU+t40EooAAN+1iZXuv1r68xozG7SmunsoxkZJX7tC6pIcoM7BZ126dNGzzz6rtLQ03X///Tp+/Lj+8Y9/aPz48Q3+DYO/ABD6LhRJv/ugejJRVbKwypwZ0vzltW+LCJMe/u+7NPF3dwWmkwAAtBKOJhP379+vN954QxUVFUpISFBKSoomTZqk/v37O9ktwBZlFxMqNWfLn82Vln8h3TbWuX41lccj5RY17W+OZdnbh23v/05jbvyBDm5erM59xqpNx94+H/NohvVKhoYUl5uknx3JxBW7qxOJkpRdaEqpfvda349txR+PX13ZBdLeM9VJZ7dHOp5lEopX8JYOALBBrw5mUtbfN5kV/sVltasmxEWZpONXx5t9nBE8Hn/8cUmm1PfYsWPZLxgAIElKjjNfVpUJGhITKY3u7bcuAQDQajmaTFy4cKHmzp2rJUuWKDs7W7NmzdK7777bYDJx9uzZOnv2bIB7CTRPZHwn9b35eUXGtqt1+/srP9MLP/qxQ71qOldYpAbesUiRcWbZ3OyJ1Sv3ureTvjO1+nfzS0x50DNnzmratNlNaqfvDc8qrnOq5c/cleXasWy+Mo7tVOc+DWdi96SladrTD3vVXlLfqep+1eNyhZllc97crw+Wr9Kff/ykd3eoEf2//IpikmtvwPj57n2a9uT3mn1MOx4/qWmPYU3xXUaq13VzFRZe/bHi9kgvvvae/nfT/CYfLxBSUlK0aNEip7sBAGiClCSzL2NGvtmr8VyedPi8NK6PKSffta3TPYQv5s2b53QXAAAtzPThZiJRSfmlf9clMwE4GLeXAQC0Xm3jg+O4jiYTk5OT9fzzz2v58uWaNWuW/vWvfzU6C5VBXwQTt1t66gOzGrFKmEua/aXxuuZHK53rWBN5PNLP3pbyLq6kq7mX4HemSi+urv833bqm6IWVTbuP85dL6ZnWPwsLj9SomXN0cPPiRo8xNDVVf37Uu3b3nZH+sq56JZ039+vLN12rL/3U9+WDf1wpHTxX+7ZJYwbrzw83/7yw4/GTmvYY1lRcJj39gVllWSU6Qvrxd2/SoF/e1OTjAQDQmI6J0pcvzo95cqk0q+FqmAAAIIgN7y4N6Gxi+PLK2j8rKKn9fbsE6Y5xgesbAAB2eGDqpX+nJXA0mfjEE09Ikk6fPq177rnHya4AtgsLk24dLS3eKl0oNKu0hnaVJg9yumdN43JJPdpJaae8+/0wlzSy56V/z2n9O5nZilZ7QVpJiLGvXOed46UF60xp0LJK8/h+JcgDntgo6dpUaVVadQnXUb2kgTaUhQUAAAAAtE4ul3TvVWZ14r4ztfdOrtpDMS5KSoo1W4fERTvTTwAAQp2jycQqc+fOdboLgF8M7io9fqPZO27pDum+q53uUfPMHO79HoPx0dLkwfa2P+bGH0iSBlz+FduOGREuDesubTxYe7+lhiTHSZ3a2NN2+0Tp/90gnciS/r1VemSGCZD8xR+Pn5VJA6QxvaWT2dL7O6U7J/i1OQAA/KZ9Qss+HgAArUl4mHT3JCkjT1qZZpKKbo9UVGr2SZ4xXOrf2b9xNQAArV2LSCYCoSwyXOrXSYoK4ldbj/bSZT2kHcdqr+TLr1NSJDZSmjq0eu/Blu7mUabc6Pm82rfXvV9tYqVvTLK37TCX1KuDWR0ZSgFPTKQJ4iLDne4JAADN9+0pTvcAAADU1bGNdNcV1d8/s0z63nXO9QcAgNYkzOkOAAgOXx0vXd7XJAqrcl9V+wyGu8ztMy+TrhniWBebLCZSeug6U2Y0Lqr69qr7FRMptYs3eyjatSoRAAAAAAAAAIBgEsRrpQAEkssl3T5OmpYqfbxP2nNKyik0G5yP7S1NGlg7IRcsEmKkR2dKx7Kk5V9ImfnShSKpW1vp2qFSajez/yUAAAAAAAAAAK0RyUQATZIUJ9062ny9sMpscB7sXC6pdwfpv68x34fK/QIAAAAAAAAAwFestwEAAAAAAAAAAABgiZWJAFqEDokt4xjByq773pofQwAAAAAAAABAfSQTAbQIsyc63YPgxuMHAAAAAAAAAPAHkokAAAAAAAAAAKBVeGm1lFNo/3HbxksPTLX/uEBLQDIRAAAAAAAAAAC0CjmF0rk8p3sBBJcwpzsAAAAAAAAAAAAAoGUimQgAAAAAAAAAAADAEslEAAAAAAAAAAAAAJbYMxEAAAC2cnukA2el41lSWbnUJk4a3t1sRg/7FZdJu05IWQWSyyV1amMe76gAXOmfzDbPdWGp+TqZLXVv5/92ASDYvfqJed+2Q/sE6d6r7DkWAAAAYIVkIgAAAGxR6ZZW75E+OSCVV0jF5eZ2l0tatktKSZK+NFrq1cHZfoaKnEJpyQ5p/xmprEKqcJvboyKkf2+RRvSUbhopxUfb3/aOY9KHu6SCEqmorPr2F1aZ9q6/TBrd2/52ASBUZBVIJ7Kd7gUAAADgHZKJAAAA8FlZhfTiarMyrbyy9s88HpNwOpIhvfSx9JWx0pg+zvQzVJzOkV5YbZJ5dZVVSGWSPj0s7T0tPXSd1C7BnnY9HumtrdKWo1JJef2fF5WZr39tNs/37WNNMhkAgNboQpGZ/BPmMitIE2Kc7hFgraJSWn/ATBiLCJemDJKG9+A6Ds5we6RtR6WNByWPpPH9pMv7SuFs2BZwWQVmYvDZXFMB5/rLpA6JTvcKTiGZCAAAAJ+9sk46kVW9Oq4hxWXS4i1SYqw0MCUwfQs1uUUmcWuVSKzJ4zGDmH9YKT1+oxQT6XvbK9MaTiTWVFIubT0qtYmVpg/zvV0AAIKFx2PKj6/YLeUWS2635JJJynRJNgOxfTs53Uu0VBUVFXr00UcVHx+vrVu36pe//KUmTJjg3zYrpec+kk5lS5Uec9upHGnkaelO/zYN1OPxmNjywBmp7OIk1VM5JtH9wFQzOQOBcTxLWrjWfJZJpqLCwXPSN6+S+nR0tm9wBvl8AHDAhSLp8HkzqH6pwWDAHzwe6eBZ6aPdZr8zj8fpHiGYHc8yX1aJxIem17+tuNyU4UTzLP+i4c8Oq8c7v9jM6vVVabn08d6GE4l12y4pl9bsNX/nD0Vl0oYDZq/G/GL/tAEAQFNUuqUFa6V/bDKD31XlwAvLpIJSMwi7YK303g6ne4qW6k9/+pNuu+02Pfnkk4qLi5PL5dK0adP82uaWo9LpC9WJRMlcx6WdkjLz/do0UM+xTOnI+epEomQq3xzPMgnGQNqz7lVlHPtckrT2b3MC23gL8Obm6kRilbxiMzkYrRMrEwEggPadkT7YaUrdVFRKpRXSU+9LnZPMvlbsI9Z6FRcX67HHHlNMTIx27Nihjz/+2G9tlVdKL64yAWNJuVmt1CVJ+s61Zq81oKlW7K69b15NcVHWt+eXmEG2bm39169QVFYh7Txhyv1YsXq8K9zS2v3SNUN8K1W15Uj9EraXaru8Utp8RLpqUPPbtbLnlCmlmltkHovffSjNvEy6or+97QAA0BSLNpqJeo19XhaVSesPSrHR0rVDA9c3BIfNmzfrrrvuUnl5uaKiojR+/HhdffXVfm1ze7oZn6grv8QkFKcM9mvzQC07jlnHllWVTwZ3DWx/9m14XSf3rlHu+cOBbdhhbreU18AE1oIS8zkXGR7YPsF5DBkCQIAs3SFtOlT/oiivxHz9eY0peXPlQEe6B4f98Y9/1IMPPqjU1FTNmjVLGzdu1AsvvKBFixbZ3tbyL6T0TLMPgWQuytMzTR38W0bb3hxCnNtjVlo3VVGZWS13x+X29ymUHThrPdhzKeUVZj/LHu2b3/b6g40Pjlq2WyltOGhvMrHSbfZtvFBUfVtusXlvG9lTim0ggQ2UVZgB04JSaWwfKTnO6R4hWBSVmb2b3B5pTG/2vYO1s7kNJxLvm2JWJFYpKZc+3mNiv2gbR+Y8HrP68ch5qX9nqV8n9rwLNjfeeKMefvhh9erVS507d27S3w4YMECFhYVNbnPC119Sz5G31Lu9sqJUjz/2mI7veKvJxwSaa/A139ewmT9UWFj9TNXrr76oH97xS1vamfGDNUrqfOkBuMGTvq6OvUYqLyPdq+MeOHhAXbte7VvnWogb/+czxbfrUe/206dPqnfPCfJ4LrHHSQi6+Sfb1bVraAycxcfH6+DBppUwIpkIAAGw4aAZNC9upNRbYan04U6pQ0LgZ1rBebt379YjjzyikydPqn///po4caI2btzol7b2n6lOJFbxyAx+AE1VUtb8fStymj7W0erlFtcu+eOtxmaWequwNLB/15BTOSYZVFdukXl/G9nL3vYQGjLyzMStrALzGfjJfum6YUziwqUdOW9Wm2Vf/Mxas1f6yuVSajdn+4WW56O0hj/zrBLQpRXS5sP2TbipdEt//tiUCCypkGL2mT2t7p8ihbHJUdCYNWuWZs2apZUrV+rUqVM6dOiQNm3apNdff11f//rXG/3bpg4KVzmRJb30cf3zt32baK1793lFRTzfrOMCzZFfLD39Qf3YJTFGWvTMd9T+5e/Y0s6TS6VzebYcqpaBAwbqL6dP239gB/x1vVkpWnP4yCVp4mXd9fKpk051y1E/fUs6HSLPb3OEdDKxKkhMO2XecG64TGqf6HSvALQ2bo+0Ms06kTh7ohmcqFJYJi39nGRia3TNNdfowQcfVFlZmWbMmOH1302aNEk5OTlNauvye15XcvdR9W7fvXunhv7griYdCwiPjNNV3/tIUXGmXulD02uXu+yQIP3opurvi8qk51aY/3/88UrNf/ChAPY2+HUdcZuGXv8zhYVHSvL+8c7Pz9MD//Woso42f5LC5Ic+Vkxi9Qz5xtqu+TxnZJzT0KHXNLvduuLa99G4u/+q6PjayyzLy4r0ve9+X9lHN9nWVihr27atNmzY4HQ3JEnp6elauHChYmJidPToUT344IP697//rV/96le2tfGvzVJGjX2fcovNHqDj+tq7Kgih599bqxOJkpRTZCqODOna/Mk03tiyZK7G3fIjnTn0qSrLStR96NX+awy2ONjEiXnlldKnNiYTtx411SKq9rAuKZcOnZM+Py6N7m1PGwicmvskvv/++35tq0d7aeoQad1+k8DxeKS28dLXJrANBgIvMVa6bZz0zjZTarfSLSXFStePkNonBLYvQyff+5//T7l7fmAbbwG+OsFcM5/NrZ5s0LujdNcVzvYLzgnpj4S/b5R2HDdvOpJ0NEP6/nXmAxEAAmX/GbNyx0qixQzV3CLpXK7ZRxGtxz333KN77rlH8+bN0+jRo5WWlqZPPvlEo0eP1tSpUxv8u+YMBG89Ki3ebGYsV4mOkL57+wi9+sM9zek+WjGPR/rJv6uDi6oEUpUf3STNfa/+34W5pHu+Mk0z/49zrikOn5cWrq0ume3t452U1EZvv7FAHXyYWPfcCulIRu3vvWl7aN/OemmPvc/zvA+lE9m1b+vSPk7PLl2ocFZfBJ358+fr6aef1okTJ7R48WKNGjXK9kRnbnH92/JLpDMXpN7sWY0GVFRarzQrKjPnT1Ks/9r2eCq1Y9l85WUeU7/RX/JfQ7CNp6ENjRtR0kjlmqbadaI6kVilvNLstUwyEZdybarZe/rAWemfm6Uf3yxFsB8aHDKypzS0qzkfX98kPXGzFB3pdK9an+gIk0s5nWMSiv/eKj083elewUmOJhP379+vN954QxUVFYqIiFBSUpLmzJljy7ELS81gS2WNC6nsQrOXyp0TbGkCALyy/0zj5U3rKig1pWlIJrZOjz322H/+/+677/qljbF9TMJ6W7rZP6qozJR5G9fXL80hxLlc0rg+ZiZz3fK5jYmJlCYO8F+/QlXfjlJkhKQGJqk0pG28fEokStK0VOlvG5r2mRYbaf7ObvdNkV5ZZ1YIeTxmcs43JolEYpDq0qWLnn32WaWlpen+++/XkSNHlJaWppMnT6p79+6Wf3PzzTcrIyPD8mdWhs36ixI6D6l1W37Oed0965sqL8ryqf8IbZd9/Q3Ftetd67ZzZ05o5rVfk8fd/EzQsFmvKKHz0AZ/7nKFa9TMOf9ZmdiYvXv3aMIvvtXsvsAeo7/1nqLizeyE+6bULm3aJUmaU6P4SEGJ2UPxxPGjmjDBnsog3Sf8l7qNvVcuV/WHocddqaX/fFl/+n+v2tJGS5N6xwJN+Pl9zf77jh07aunSpTb2KLjFRZty8W9tI5EI50VFSMO6S5HhJBKd1rWt+Xpnu9M9gdMcTSYuXLhQc+fO1ZIlS5ScnKxDhw41+vuzZ8/W2bPe1Y2ITOiifjc9p4jYtrVuX7F6gxb85GfN7jPQXL1nPKVpT/7Q6W7YKhTvk2T//eoy4ftqP8TMJp49sfZqxO7tpO9cXHSWX1Jd8vR3v5+v7P0WyzuCRDCcGykpKVq0aJHT3XDMjSPNXlG5xdLLH0s31696Cnjt6iHSZ0ek4iYkuHq0l9r4cUVHqHK5pCmDpA93mdUG3oiOlK6zIaE3uKtJZDYlmRgZLg3u4nvbdSXFSY/MNO9hbjeVR4Ld448/LslMqBk7dqyioqL04osvNvo3TR383XFMWrylepVZRJg0elgnvfiAf0vHIfitSqu9ZUF0hDT1ih7604Of+HRcqxXWzTVkyFAt+PRTew6GZpu/XErPNP9fsLb2z+bMMD+vySVpxhV99Ofv2/PcFZVKzyyvXdI5JTlcv33mAcVEPmBLGy3NM8ukhY9x7gMAEAiOJhOTk5P1/PPPa/ny5Xrqqaf01ltvKS8vT23atLH8/aYM+no80u8+lE7V2EYqKkKac/ckXfbESl+7DjTZC6ukBf8vtM69ULxPkv33a+0+6d3tZsXOojpbVX1nqvTi6tq3RUdIP39ijoZ2m2NbHwItVM+NUBMVIXVMNMkJwBfJcdK1Q81ga91yXUUWCcbEGOkuKkU02+RB0vZ0U56xss5q0LqPd2S4Wc14WU/f2w1zmdV/C9dZJ47rth0bJd09SQrz42pBf5YYRODNmzfPb8ce1cu896xMM9tf3DDCvn3KENquTZU6tpE+2S8dz5LuuFwa09v/7Y675UeSpC79+cAMFjOGSX9twgr++GizT51d4qJNObr3Ppd2HjfvezeONNUgAAAAfOVoIaAnnnhCDz30kIYPH67U1FQ999xzDSYSm8rlku6eaFb9tIk1AymTBkiX9bDl8ADgtbF9pIRo738/JlIa5IdVHADgT9NSzYBYbJ0Bq5r76kWGmxVl37/OJCDRPBHh0veuk7q1q1/yp+bjHRMpDegsfXuySQTaoX9nc40dF1X/mFVth7nMz++eKA1IsaddwA79O0sPTJVSkqQpg+17XSD0XdZDenCaOXfG9mEiFqwN6tpw1YWCOpVqw8OkXh3sX1nfJlb62hXmXL1zQu2qOAAAAL5wdGVilblz5/rluCnJ0g+uNxdtr66XvjTaL80AQKPio6We7aW0U9KlthMLDzMzSNnzCUAwmj7c7GuxMk3ad8YMthaVmpnyURHS1YOl8f2YIW+HmEjp4enS7pPSit1STqEpl1ZUbhK6KUnm+RiUYv+g99Bu0uM3Smv2SZuPmNs8HtOOS2b/1SmDSRgDAFqXMJf03WulZ1eYz+WasV/NsqcRYVKXZOmeKwPdQwAAgOZrEclEf0uIYdYpAGd9baLZzyEzv3ZQmV9jhmp4mNQ1WbppZIA7BwA26tpW+saVptxpdoG0YI30nWlShwRWctgtPEwa0dN85RaZ/QNf/cTsJejvlQhJcWai3k0jpfN5UmmFKdPdqQ0TYgAArVdSnPTY9dK/PpMOnzclTyvd5mdREeazcmQv6UujTKUBAACAYNEqkokA4LS4KOmRGdIr66SzedVlbhZtNKs4EmKk3h1NSTiCSgChICbSJBYjL+7NCf9KijNfkeGBLWkWfnF1BQAAMOKjpW9ONnsJb083k252HDOTcEb2JN4DgJbA7jLT/j4u0BKQTASAAImLNntcZRVIH++Vzlwwq3R6tTfl4BraXwMAAAAAEFzioqQrB5r/H8s0+20CAFqGB6Y63QMg+JBMBIAAa58gfWWc070AAAAAAAAAAODSSCYCAAAAAAAEUPuElnksAAAAwArJRAAAAAAAgAC69yqnewAAAAB4L8zpDgAAAAAAAAAAAABomUgmAgAAAAAAAAAAALBEMhEAAAAAAAAAAACAJZKJAAAAAAAAAAAAACyRTAQAAAAAAAAAAABgiWQiAAAAAAAAAAAAAEskEwEAAAAAAAAAAABYinC6AwAAAAAAAAAAAGhdXlot5RTae8y28dIDU+09JkgmIoQt2ihl5vt+nA6J0uyJvh/HLnbcr5Z2nwAAAAAA/vXqJ1JWge/HaZ8g3XuV78fxB7vuo9Sy72egtYZzBwDgjJxC6Vye072AN0gmImRl5kvpmU73wn6her8AAAAAAP6TVSCdyHa6F/7VGu6jE3hcASDwKt3SmQtScZkUES51TJQSYpzuFVozkomAH5VXSvtOS9mF0oUi6Vyu1DnJ6V4BwS+vWNp/RioslRJjpSFdpLhop3sFwGm5RdLa/dK2o1KF29yWGCNdM0Qa3VuKDHe0ewAAAH5T6ZZ2HZe2HZPO5koL1kpje0vDe0jhYU73DgDgrQtF0rr90qeHzPceSS5JlR6pTwfpulSpbyfJ5XKyl2iNSCYCflBWIb2zXUo7KRWVmaSiJP3hIykpTrpllDSoi7N9BILR+Tzpzc0mOC4olTweKcwlJURLPdpLd1wuJcc53UsAgeZ2S4u3SJ8fl0rKJben+mf/v707j4+yvvr//5rsJGFJ2JFd9kUWAVlklUVBaqVKa0uLrdrbSuuGda2t/lq/0BvtjRZrXai1ta22VlsRFQSRTRFR1rCFnQBhCQkh62SZ3x+HmG2yX5PJTN7PxyMPyGTmus7MXLNcn/P5nJOZC//eAu9uhVuuggGd/BeniIiIiC+s2QMf77axiNx8u2xXEhxIhre3wJQBMLa3f2MUEZGqbT0Kb35uY8kFheX/vveUVazr2RbmXm0rFkXqi+YmiTgsJw8Wr4DPD8CF7OJEIljy40Qq/GUjbDrovxhFAtGxFFjyESSehos5lkgESxqk50DCCXvtnXWgV6qIBA6PB15dD1sO2wSekonEIu58Syr+7TPYdrT+YxQRERHxlbe3wIqddo5UlEgskpNv50rvb4dlW/0Tn4iIVM+2o/DGJhtb9pZILJKTZ0nFl9d6P/8V8RUlE0Uc9uo6WzVVUMmbeWaufZFPUs8BkWrJyYOla+1EuDJpWfDHjyv/0iUiwWX9ftifDO6C8n+7e2rp37Pz4J+b7b1CREREJNBtPwZfHLLzpcpk58GniVY9SUREGp70bHjj8/KTQoo8NrP073kFcPgsrNvr+9hEiqjMaQBKOm+lurJyIT4Wbh5uPcMC3cb9sPmQrTDo1R6mD7LyhYEkJQNOpnmfFTJnNLz+afHvmbk2O/DHE+stPJGA9WkiZHhJJJZ9XYFdb+dxGNylfmKTwHH6gpW7TM+GiDCYNgD6d/R3VL6VlgVvbbYVu+GhMLYPXNXd31E5x+Oxkl4VnXBFR5S/LCcP1u6FG4b6NjYREX9ISIKPEmxFduumVgI+NsrfUTnreAr899L5cNMomDVMfekDUZYb/v0FnEqzEm0T+lh/Y6mZD3ZYorCs28dbz8SSsvPg/R3B//1XpC4ST8N7W+09Kiocpg6EgY3sNVNYCKt3W+WXQg+0bWaftfGx/o4suG3cX7q6XVkRXrI47nz4eA+M76P+iVI/tDIxwGTk2Mq3/cmQlAo7jsOLawJ/SfNnB2yl3tEUOHbe6v2/s8W3+/xy+dMAJG5+i/SzRxzZ5se7rbSIN029nMQnnbcvKE7xxX0SaQg+TfS+2tfb6yo3H1Yl+D4mp2VnZ3PXXXdx//33M3GiZhk4LS0L/rjGPj+TL1jZ3L9vss/RYJWTB0tWwa4TcDrdvjf8Z4sl0oLFgTN2AlUThR6bwa8VzCISbPYnwz82WR+dk2mw/Tj8YbUNCgaLlAxYug4OnLb7uC8ZXvrEJmpK4PB4rJrIl0fseTyWYr2Pt6oUeY2cSvM+4RIqnkRwIcv60EvDlZ+fz913380jjzzClClT2LRpk79DajQSTsCf19vY5NmLcPw8/OOzxtem6C8bYcUuO4c8e9HOJ3+/yiblim8UFsKGxNqdo+blWxJcpD74NZm4b98+nnzySR5//HGefPJJFi9eTHJysj9DavA2JkJKZunLTqfD0XP+iccpmw9aLf8iBYV2MuxLhQV5bP1wMYe3Lndsm8drWLa0wAPnMxzbvU/uk4i/eTzeyxdWxskkfX15/vnnmTdvHr/73e9o3bo1b7/9No888girV6/2d2hBYcUOSC3z+ZmZCx/t8k889WHj/vKfMdl59l0iWBw4XbvXuwcbkBaRhuHIkSM8/vjjPPXUU9x+++1s2rSJpUuXsn37dn+HFlA+2mU92ks6exH2nPRPPL6wclf5UtUpGbB+n3/iCTZfvLsQgFMHNpG0+xOf7edYSvmEVpa7fiY81dd9rA8nUmv+PSgnD06mOh9LMD2u/vbiiy8ya9YsFixYQHR0NKdPn+Y3v/kNzz77rL9DC3rvbSs/OSXLDat22bhEY5CSAQfPQH6ZMZjUTOvNKr5x9mLtj7HsPNjVCEpY7173Z84e3QbA2r/e69dYGjO/ljldunQpCxcu5N1336VFixZs376dZs2aVXj9OXPm1DrZ2HXa/zJ5wYO1DbXBaDP0VtoMmlPqspzcXO659xGyTu/wU1R11236s8S07V/qsqPHjjJ58m213mb36c8SXWabJYWEhjPk2ntJ3PxWpdvZnZDA5EX3VG+f1y8hunUfwMovllw11TEefjLJ/n8xx0ozXriQxp0/eYSclOqP7FZ2v3xxnyoTLK+rsoL1ftUnpx/D3t9+g/DoVkDp11bJ1xUUv7aSk5OZPHmOly0Va9euHa+//rpjMdbVrl27uO+++0hKSqJHjx7MmjWLkSNHsnz5cq655poKbzdmzBhSU+s2IjD6x8vo129m1VcMYMPmvEZ8l+HlLt+z/xD95l/vh4h8b+A3n6Z9/+nlLj96/CT9+k3BUmq+58vjq/eUh+ky4gdf/3731NKlTVvFwsMlnt4sNzy3ElLPn2fmDXdw8fQen8TlT43h9SzOiIuLY+PGjf4OA4DFixezaNEijh8/zltvvcXIkSPZuXMnbdq0qfA2M2fO5OzZs7XaX/+bX2HkE7fXNtwGq/9NL9O0/cBSl+UVwCO/WsCZhP/6KSpn9b7+GeK6jSl3+V/eXMYTP37K5/sP9GNnwOw/Edu2X4V/93gK2PrhYtLPHeXyoTdUeL09e3Yz8skf1TqOFl3H0HvG/+IKCS11+a7d+xj5q7m13i44dx+h7vezJF8cO637zaT7xIe/fhxvH1+8IrF9c7h3WvF1M3Ks7Kk7L49f/PIpzu37sEb7aijHTll1fVxbt27NsmXLHIvHCZs3b+aWW24hLy+PiIgIbrjhBmbMmMETTzzh79CCXnYFyXl3gSVsvLVQCDZJ5yte8Xw0pX5jaUy8lauuicZSoWHvxr+RtOcTLpxpZMuFGxC/JhNbtGjBkiVLWLFiBaNHjyY+Ph632010dLTX69dl0PcPq+GVn6+q9e0birQsWLyi9GzMy1pGsvivvyM0gIvWrk6AD3cW14Z2AeOGduGP82r/nC1eYSV+6qpf//68dH/14vj7Z9b3Ecr3cfvJJHjh49KXxbdowW//8gIxkdWPx4n7VZP7VJlgeV2VFaz3qz45/Rj+f/+B85dWlZV8bXl7XQF06dSOP6wKrOdw4sSJzJs3D7fbzbRp08jLy+OFF17g8ccfr/R2TgwEL1gGr+zeXeftNGTLtlrfh7Ku6Ns9aO/7poPWLzG/TKmU7p078OLu+qsF7Mvja+VO6/1T5LmVpf/+8PWw8L3yt4uLj2f5u/+mVVOfhOVXjeH1LMGnffv2PPvssyQkJHDHHXfwxz/+kczMTDyVTNGuy+Dv/30IS+cHX9m4d7+ydhElH7XmTeD1JY/QrMkjfovLSV8dgTc2la5a0SQCfnPPTLo/5fuJFIF+7DzzQeXVdFyuUIZcey+nDmyiwF3BaDLQt28/XqlD6cWcPPjt8vJVIyaP6s0r99Xt8XXqPkLd72dJvjh2Ek7AXzYU944u2SPx3mk2dlBWdFQ4zyx8gt7tn6jRvhrKsVNWoL8mvZkxYwb33HMPXbp0oW3btng8HhYsWMBdd91V5W179uxJZmZmlderysxffEWHDo2vwfh1D22kaatu5S4/deI4PbuPwVNYw/4KASi+02DG3vY3ImPiyv1t84aP6HBb3SZ81EZjOB6bt+/LhP/5F5Ex8QA8NrN8j8SmUfDkjcW/u/PhqUtfh9/8x2s8dLPvv+v56rmY9sAnNG/bq8rr9RnzPVp3GVyt1l77E/fTocOEugdXRjAdjzExMSQm1qx0lV+TiY8++igAJ0+e5LHHHvNnKAGjRTR8ZyR8sN16C3RpBbNHENCJRIBJ/azMaUISnLsIQ7rCzeUXkDjqyhkPANBzxE2ObfOafrD7RPnyQhVp05waJRKr4ov7JNIQjOhuNfurU/YhPBQm9PF9TE6bO3cuc+fO5ZlnnmHo0KH88pe/JDQ0lC+//JJRo0b5O7yAd01/K/1xukRJreZN4Ibg+A7o1bCusGE/nDhfPLDcNAqmD/JnVM7qdxl8srfmJb7CQiA+1jcxiUjNPfTQQwDMnz+fYcOGMXr0aD9HFJimD7L+uCfOQ6Yb4qJhYl9o1sTfkTlnSBdLoCQmQ3qOfZZf0Qm6V7yIVRqgqHCYfgV8sMMmSnuAbq3gxiv9HVlg6d3OBptza5DfiAiFHm19F5PU3ezZs5k9ezarVq3ixIkTLFq0iOTkZDZu3MjNN99c6W1rOihckV++bWO1jc0HO2DN7tITVsJCYPKITrycdMx/gdUjjwcWvW9jziXFRsLT90+h81P1f1w0huMxJw9+9Q7kXlqh+JSXOXNP3mjXKSsiDH5x31xGLvF9otdXz8WCZaXHapzQq2cvXvVBrI3heKyMX5OJRRYuXOjvEAJKn/b284fVcFfFle8CissFMwbZzx9Wwy0j/R1R7bRtDq2aVi+ZGB1h91dEqja2N3yaaINGVYmJhCu7+jwkn5k/fz4ACxYs8HMkwSU6wkpgrtxlfYZPpcFPJ0PriqurB7ywUPjZFFulsveknRD+z0QrDxwsOsZbOa+aJBPDQuw9JcTlu7hEpHaeeeYZf4cQ0MJC7fzwVBq8ug7uvTb4SrK5XPD9MdbT6cWPYd5kaO69sJHUwvBvPAxA+x6+PyEf3h0GdoLDZ21V7d1Tfb5L22893kdfCwuFQZ2tT3Z1ite7XDC0q28mowfT49pQTJ482d8hNDrTBtp4XkKSVU7Lcttr7CYfL3ZoSFwuuHMS/GmdVYdKz4aWMXDdIOjc0t/RBa+ocOjfAb46WvPbhrhgaBfnY2po+o279ev/j//+Yr/F0dgF+Ho2kYbn9vHWo6nsGOXFEkmQ6AibJdytdb2GJhKwYiLhu6NsNlxJF8skF5tFwW3j7MRapKyYSJvxfu80W+kfzInEIpFhcO1Au89x0cGVSCxy/SA7+fLGW5IxKhxG9/BtTCIi/tS+hZX+DLZEYkktY+0+KpEY2KLCoW+H8qXcpPqmXwFxMeUv99bzrGWMJUtExLsQl1VJe+R6m3gaG2kTWAK9GlxNNWti54/zr7Vz6Me+AcPKV38Vh03qV/F5bUVCXFa1QZ+jUl8a2duhiO/FRsF911rptWZRxSsfXv/UTnhbxsKNw2DKAP/GKRJo+nSA2ydAhxbFScWi/olNo2yW3LzJ0Emz5UQalSs6w7je3k+8yvZQjI6AH0+EaAdLjIuIiIj4S3Skreps3dRKmBYp2T8xIgzaNIWfTbUxCRGpXGS4TcxxNfJKJs2jLZEaouxBvegYD4M7l34vL8ntpaR10yhVvZP6pby1iA/ERMIdEyAzF748Yn0gw8Ogb3u4vI2+kIjUVtdW8OAMSL4A247CZwfg6l5Wrqel+p+JNFrTB9kM2g93QH6h9ZwoKTrCJvv8cKwNDIiIiIgEixbR8NAM2HoUViXYOITLZb3PmkZZ7/DBnVW9RUSkoZs9wvrg7j5Rvh9uyT6KIS57f//ZFDvPFakvSiaK+FBMpK2WEBFntWsO114Bh85qla+ImKt7wagesOM4bNhv/T3OZ8IVnaxkTKcgLPEqIiIiApYoHN7dfnLzITfPVldFatRPRCRghITAD8bAF4dg5S6bHJJdYqJsZJglEod3h6kDlEiU+qevFSIiIiISFEJDrGfEkEsN6Bcsg7lX+zcmERERkfoUGaYkoohIoHK5YMTl9nMsBRJOWB/cLw7B7Ktssmy4VpqLn+jrhQStVk0b1nac4kQ8De0+iYiIiIiIiIiIiIjp3NJ+AHYmwZVd/RqOiJKJErzmjPZ3BL4RrPdLREREREREfMepHuMNuVe5k7E15PtZ3xrDsSMiIiKVUzJRRERERERERCTI3TrW3xH4XmO4j/6gx1VERHwlLiYwtilKJoqIiIiIiIiIiIiIiEg9u3OSvyOQ6grxdwAiIiIiIiIiIiIiIiIi0jApmSgiIiIiIiIiIiIiIiIiXimZKCIiIiIiIiIiIiIiIiJeKZkoIiIiIiIiIiIiIiIiIl4pmSgiIiIiIiIiIiIiIiIiXimZKCIiIiIiIiIiIiIiIiJeKZkoIiIiIiIiIiIiIiIiIl6F+TsAX0rJgE8T7d/kNNh+DAZ2hBClUKuloBB2HofdJyEvH1o2hTE9IS7G+X258+GLQ3DoLJxKg1UJMKoHxEQ6vy8R8Y1TabDpAFzIhuQLsP8U9GwHLpe/IxMRERERERERERGR2grKZGJaFvx5vSURL+YUX/73z6BJBFzTH8b28l98geCTPfDJXsh2Q25+8eWfH4TWTWHuWGjepO77KSyEd76yRG9WLuQX2uXvb4d1e6Fra/jeaIgMyiNVJDgkX4C/bID0bMjILb781Q3QJBy+MQQGd/FffCIiIiIAHo+d2xQU2nmIJpk6o7AQsvMgxAVR4fUzkcx96XnML4CwUN/vr9ADOXmXjh2P3Vepu4JCG3Mo9NjrU5MQRURERBquoEvRnM+A5z6yhGJZufn28/42uJAJ1w+p9/ACwjtfWtIwJ6/83y7m2M/iFXDPVGgRXfv9FHrgpU/g4BnIKyj/t/Qc2JUEz66Ae6YpoSjSECWdhxfXlJ64USTbbT//3AxZbhjds/7jExEREbmYA2v3wuZDdp6RlQuPvw2Xt4GpA6BjvL8jDEwnU2HlLjhwujgJ5AKGdYPxfZ2ZfFpSfgFsPWpVbDJz7fvlr96xc9Ip/WFgJwh1OEF8PgNW74Ydx8GDHTu//Df0vwwm94fWzZzdX2Pg8cCRc7Bip51L4LLH9cn/WCWkMT0hWhWKRERERBqcoEvPvLzWeyJxzmh4/VP7f3YefHoA+nSAHm3rN76Gbu8pO8kum0gs+fgBpGbCK5/AA9Nrv6+Pd8MhL4nEkvsq9Niqpzc+s9WQIr7muTQrVqpWUAhL13lPJJZ8HWe5bbVxz3a2slkahgvZcPgM5OTbe35aVt0miEjFPB44fh7OpNvrpmmUvR7C62ElRW4eJJ62QdfsPCtH3L6F7/crItJQ7EqCNzbZ95HCEt/xMnMtQXTgNAzuDDeN0Gqz6vJ44D9fwheH7XEta81e+PwQ3DzcueoUqZnw/CqbcOouUTknM9d+/rEJVuyCeddAbJQz+9ywHz7YYYmukqcHGbl2/3YmwcS+MGWAM/trDAoK4bUN9rore+ykZcGHO2DdPrh1rCX7RURERKThCKpk4rEUSPeSSAQbuCspy21fVH86xfdxBZIPd9hKorLKPn4AqVk2G7VDXM33U+iBjYngLij/t7L7KvTAwbMWV5OImu9LpDoKPfDOFkuop2XB0rWWEIsM93dkDdeO4za44k3Z13FGLny0C747yvdxSeUOn7Xk7olUm+Gff6lc1/8ut/fz6VdAdw3eOKKg0PqIfrzHPsPcBTYAGx5qKyeGdLEBSKdXbgCcu2gz/hNOFJeBK/DA7z+y1+fUATC0q8qJiUhw23fKWl14S3gVyXLDliOAC2aPqK/IAtt/v4JNB0u3wyjJ47EE3z8322de/451219mrlUfSs2s+Dq5+ZCcZtebf13dq9p8fhCWb7OJOBXJctuqxdAQmNSvbvtrDDwe+PMG2Huy/ITiIgUem6j4p3Xwk0laNSwiIiLSkARVl4jVCZBZyYliWWfS7cREzMVs6zNZXZm5dvJUG4fPeC+jWuG+cuCLQ7Xbl0h1rE6Azw7A2Yt2crszCf72mb+jatjW7Kl4EMmbfadKrwiQ+rdmD7y0xlaqZV1KbhU9J1lumyX+8ie1f2+XYu58W0Hx36322ZrlvpTQK7TPv8xcm1Tz9PuW2HVSYjL834fFK0Zy821wDuz30+k2wPvqeotHRCQYFXqKVySWdfv40r+782H7UauIIpU7d9E+X7x9Byz7uGZdKndfWMfPmmVbIc1LIrHs/jxAykWrgFMX7nx4b5v3RGLZfebk2fcmjStU7eAZ+67pLZFY9nHNzC1dGSmQFRTCwdP2mlEFHGnIcvKslPT6ffY+uPuEzhX8weOBo+dsfKqoRPv5GozVOqGw0MZvNibasfDlkfr/nMsrgJ3HrUqAOx+2HytdmUDqT/IFm2S1dq89B6fS/B2R+JNfVybu27ePN954g/z8fGJjYwkLC+P73/8+bdrUbknE2Ys1u36hBy5kQYzq8QO20rCmXxRq+pgXOZfhfQVkRQo8erMS39p9wlZolXTS4QH+YFPRqsSKeLATlGitMPaLzQdtpVpVEzmy82wVaXQEjOpRP7EFm0KPJWWPpZR/XynJc2n2/Qur4f5rIT627vs+mWpJwspW4YANaO09aQPt3xtd9/2KiDQ0ickVf+Z5K4OZ6YaPEuD7ek+sVGWJM2+Pa24+JJyEgbVcnejOt1X23nIw3vZX4LGqANMGQEgtp057a/tR2T5z3DbYOW1g7fbXWHy4s+IxAG+P68Wc2ldCaiiOnLUJqmlZNqns6ffhxxOhuVoLSAOSfMHO/xJO2PlJ3qUJp3/ZaOW/R/eECX2cKyEt3uUX2OfPqoTiqjaFHggLsRXw7VvY50yf9r6LIcsNG/bBuv1QUGCfwQUeePNz64ncux1MGQidfLhqPC3LJvtvOWyf/e58exz+8RnggqFd4Jr+0NKBc2epmMcD24/Dyp1wPrO40pHHA8+uhLgY61c9uIvaBDQ2fk0mLl26lIULF/Luu+8SEhLCl19+SURExaPMc+bMITk5ucK/Xz7zDzRp1cuuO7p0mb2O8VYmA+xL6eufQmpaKnfcPp/cC8ccuT/1reu0/2Xyggcd215UfA+6Tl1IWJMWQOnHsOTjB8WP4Z7du5j89L013lfz7pPoOPYhXCGh1d7Xe8v+w8u/WFKLeya+4vQx6E9dr32a2PaDS12WlHSUyZNv809AAaDnrD8T2dxGhqrznpuSco5vfuNWCvO9NFmspbocg+3ateP11193LJaGLL/AVshVNDB291R4bmXx7zl5tgpgWLf66esXbPYnW49Eb4nEso81WBng/3wFPxpX933/o4JVON727S6AXSd810exqFdkbh5k5NTvAEROnvVlLjr51AmOBItCjw1O5+RZSeoolWOv0Nq9lZeo9GbfKd/EEkwSkmp2/Zw8WLe39snEPSdrVgkDbCD8yLnal23fsL/iMpzeFHhsAFjJxIq5L5WhrYnMXFi/H759lU9C8jmPB974vPQE7BNplly86xq/hSVSytajlijKzSs/aaPo3HHNHpukMW+yeq/7SrYb/rAaTl8o3w4qr8B+Dp+1SaMjusGsYc63q0jJsJYYGTnlz2OLVgTuSIL9p2HmYBjTy9n9g93Hlz+xY69sVaucSzF8dtCO2x+Og17tnI9BbPzozxtsYp6372A5eTaG8ObnlvT90TgI07hRo+HXZGKLFi1YsmQJK1as4NFHHyUuLo4LFy7QokULr9evatD3X5ttCTaUL4nxk0nwwselL2sZH8f/vfknIgK0c+QfVsMrP1/l2PZy8uD/LYP0bPu95GPo7fFzAddPGMAN99c8hlNpVv4tI7d6+4oIg/vu+CZDn/pmjfclvuP0MehPO4/byV7RTOuwELh2ZBe+OS847p8v/PFj6zEJ1XvPbdO6FUs+eM/RL73BdAxmZ2czf/58oqKi2Lp1K2vWrHFs21uP2hfCinhbLZpfCF8dgasudyyMRmNlJStAK1qZe+C0rfaNrkO1hHMXKy9X7m3f2W6b/fr9MbXfrzeZufYeUVTi9ekP4KrucN0gZ/fjzaYDtgr3QrYN5P32PVsFoNmrEuhSMqxU9YUsG2hq1sSSF8GwivzIkSMsXbqUqKgoDh8+zJ133skXX3zBuHHj6N+/f622eSG7Fjfy2OelBkS883hqV7K+Vs9FidvWtKyZuwDS6zB3LbeGSWioWfKxMcpyYwMINXS+kj6ZDd25DJtUWVZKLas7iTht9wmrUlLVhI2CQhu7W/IR3H+dvlM7Lb8AlqyyCRcFVXzG5ubB54dspeI3r3Quhos5ttosvRqf1zl58O5WG6cd3t25GE6m2vfcqiaCeTx2nT+tgzsnQddWzsUg9vi+tsEm2FX13SY331ro/Gm9lSvXBN7Gwa9ptEcffRSAkydPMmbMGMaMqdtI1jX9YMdx71/YvOnZloBNJPpCVLi9Ce84Xr3rx0ZZqYPaaN/Cbp9RzTKJTcJhUOfa7UukOgZ2Alw2czq/EK7oVPvju7GYNtDKOFZVThHsS8VV3Z2fPRdMnn/+eebNm0f//v2ZPXs269atY8OGDQwaNIgZM2bUadtr99Z8Vr87326nZGLNZObWrueWOx++OgpX12GG58bEmpUQL7LnpPOr9/72qa1KLJKWZSs9BnSETi2d209ZF7Lhgx2lB65Pp9sJ0f3X+m6/IvXhtQ12PBdJy7Ljvd9l0LyJ/+JywuLFi1m0aBHHjx/nrbfeok+fPqxcuZKoqIqXNM+cOZOzZ89W+Pf+N79C03YDABvgKLk6un1zuHda8e8ZOfDKWjifep6rx8zAe1HNwNL/5lcY+cTtjm936I+WExFjb+TVfVwPH0pk5Mjv12p/rft9g+4TH8Z1qWZpyX1WtL+c7CwefvCXpB3ZUKt9Dp77NlHNOpTbX2X7PHvmNCNH3lCr/TUGYU3iuOKW16t17BQ9pgCfbVzLa48+VM/ROiMsqjkDv/MXIpu2LXX58eOHGTnyFj9FFXzq+l7XunVrli1b5mBEgSG/wCYEV3SO+NhMeKrMw5LpttvcM9X38TUma/bAmXTviURvz4M7HzYdtCpCHR0qN/qvzRWPpXuLITcf/r0F+nd0po2Nx2OrLitKJHqLIScPXl0HT9wY/ONMHo897/XRd3dXklVaqiiRWPa5yCuwvsA7jlnJUwl+DSKVtnDhQke2Ex9rdZv3JZfv/Vf2TbFpFFyrMiTlTB8Eh87aF/iSyj5+YSHQrXXdav3PGOS9HFvZfUWG2Yzr0Fr2vBCproEda1+CqTHq2sred7POl/+bt/fcsb3rJ65AtWvXLu677z6SkpLo0aMHw4YN45///CdXXVX32k61nZ1f3ck5Uiw9u3YnM/mFcDa96utV5uzF2g1/u1zW76kuqyJL8ni8J1Qz3bBun297NG457H0FTFqWHc9NK85LiDRoGTm2IrGs9GzYcsh6xwSy9u3b8+yzz5KQkMAdd9zBrl27aNOmDSkpKVx+ufdZLVUN/r6zxd5zPBQnJorcOw0Wr/ASR5t4Nm36rJb3omH5vw9h6fxNjm/3/y2zQU+o/uM6eWRPXr6ndrEcS4EXP7bPkLL7rGh/LZpG87dXnq716pmX1sDuk+X3V9k+e3drywubnH+8g0VhITzxn+JVL9V5XMNC4IffGs/ExwP3cX1lrZUGLvp+FhEGk6/uxks/C9z71ND46r0u2G07Vn7ctKSKFl6cSrNKCVqd6IxCj31XqShxU9HzkJNnPYznXl33GDJzbRVaRYmqimIoKITPD8DEfnWP4VhK+XHo6sTgvrQyLpjLnW47Cu/vKG4d8o9NcPNw31XR+Cih8ono3p6L3HxYuUvJxMaiQSQTnXTrWKvxfCqtdI3nkiX4YiPhO1dB62b1Hl6D16453DQc3tpcetVgyccvLAQui4cf1LEk2sBO9jx9srd0QrHkviLDoP9l6j8h0hC5XHDnRHjuIyuvWLLsVcnXcbMmcNt4iHEoURGsJk6cyLx583C73UybNo3o6Giee+45XnrpJa65puLGKmPGjCE1NbXSbY+7ew1RJWZF3z219AzCVrHw8PX2/yx3cV+9c+fO0q/f+Frfp4Zs9I+X0a/fTMe3G9PqcobP+fPXM+8re6yh9OP92muv8tgPFtV634Nueo62vSd//Xt1952aep6RI68jP9e5ultX37WC6LhO5S5/5+23eOr2Xzq2n7I6j5hL78k/x+UqPQPpzOlkrh4zi7zsNJ/tu6Hw1bEt/hXepDmjbn+HqGalR0s8nkIWPb2In33+Wo23GRcXx8aNG50KsU4eeshWHs2fP59hw4YRERHByJEj67TNCX3hyyPVr4QSFgLjNfGpShP7wttbql/WMzbSKgjVVueWNtklswYr7+Nj6jbQPXWg9VysTvUNsCo6UwfUfn+NQUgIDOsKa/ZWf2VFVDiMDPAyzrdeDf/50iZsh7hsoLUurwdpHPLz87n//vuJiYlhy5Yt/PrXv67zZ2JZq6pIGFSkqHrNrGGOhtNo7TtVeTuSyuw+YZ9TdV0Z+Gli5YnliuQV2Hv6hL51Xxm4enfN+1yD3eajXcGbTExMhn99UdyOCWzybI7bekY67ezF4gljNXU+0yYUt2vubEzS8ARdMjEizJbcr9h56QWWZx+QoSH2ZbRtc7jxSrgszt+RNlyDO9sJ2H+/sjeRbLclZptE2GN4VXeYMsCZlYJTB1pi8v3tNts6J89OLqIi7ANxYl9blRjsS9ZFAlVslJUOfG+b9Z3MybMvlWEh9jruHG+1/Fs19XekDd/cuXOZO3cuzzzzDEOHDuXNN99k27ZtjBo1qtLbVWcg+Hcf2my/IkXJqyIPXw8L3yt/u8s7teaF3burE37AWbAMXvHBfctyw2/+WzwAWd3HOjwUHrz7h4z+/Q9rve9lW+HjPcWDdNXdd4sW8Wz76nNHy5wuXQs7k0pfFhsJv//FTbR/+ibndlRGRg4s+qD8Cq4+3dvxxy8/9X6jIOOrY1v879kVcPhc6ctaRIfwrxceomlUYJYBLOuZZ55xbFtxMXaekZhcvT5/TSJU2rs6ruwKH+6oXh9EF3b+XdfvgVMGWAKzon7EJTUJh+mD67a/Li2tdHB1k4nRkdCnQ9322RiM7wubD1UvwR8WYo9pEwfK5/lTWCjcNMLfUUigefHFF5k1axYTJkzghhtuwOVysWjRIkJCQpg/f36dt+/x1L4faaHHer2LM46cq10SDWxM9vQFqxpXFwdOl16MUxPufBtzjwqvWwxHz1V9nYokVT6vOqC9v6N0IhEs8XvknJ33xjpcded4Su16YxfFdSxFycTGIOiSiWBf2GYMhuuugMNnrbxbeKjNamwW4P1E6kvnlvCzKTYYdyzFkn03j4CurZ1vqNr/Mvs5k26zGAo9tnrisjglEUUCQVS4rWj+5tDiMsmRYfal1qmyiY1J0Qliz549+fa3v+3INif2hTc+t9IY1RUZ5kzJksYmOsI+vxJreJIdHgpDu9Zt32N6wmcHqj/4WWRgJ+c/2783Gl76BM5csJPMmEgY28d6JvtSbJS9Fy3baideoSGWUPjhWN/uV6Q+3DrWXlepmfY6j4+BmUNUvrcyPxxrE2rKVlAoW0orJhJ+NA4i6zgY1hhEhMEdE+CPH5dPCpV8XENcdoze5sDM+eHd4NAZK8tXMqFY9nmMCrfew33a121/Lhf8zyQru5lWZnJK2X02awJ3TnL+czQYNW8Ct4yyvsplv6uUfFzDQuz7wnfqXulfJCBt3ryZW265hby8PCIiIrjqqqtYvXp1tW7bs2dPMjMrzxS6QsL45pO7CY8qXsL92MzS5QubRsGTNxb/7s4v7pO278BhOnSoY6myADHzF1/RocNQn21/yA2/pufVt339e1XPAxQ/F2lpacy66U5OJ66rUwyTfrqMVl2urHYMJY+FCxdS6TdgIjkXz9QphhueTCAyunjVT01iSE/PoEOHXnXaf0M17YFPaN62/H07cy6Vq8Z9l9Sk7Y7ur9uI7zL0m78hNNxOLso+D1Dxc5GTm8f8n/+Sg5/VvFpKoPH1+0J9iomJITExsUa3CcpkYpGQELi8bdXXk4o1j4aB0bB+P3Rv49t9tWlmPyISmMJCg7e8RKC7ohP8+wuoZqU3wJ7PQeWrVEo1TB0ISedrNsu0T/u6z+iMj4W2zcqvXKpMkwiY5IOkcVQ43D0FTqfDxWzoGF/3+1ddQ7pY/9ujKbZCpX0LTU6S4NA8Gh64ztoEvPwJPDrTd/1SgkVUuFVQ+MtGOHapbGWhp7hfW0wExERZ+4aO8f6NNZB0jId5k+G1DdaPtmjW/Ctr7f025tLEmrlj615+DWyb377KkpPr99sqCHd+8fMYGWaJ4KkDLJnohBbRduy8ut56Gmfmlu6/GRtpk1VuHaveYTXR/zJL3P9jk1VAKkoqvrIWQl32vaRXO0s66v1NGqsZM2Zwzz330KVLF9q2tUHNRx99lOeee67K21Z3UPjBN+19tEhRYqbIkzfCr97xfts+Pbux9OTJau0n0P3ybTjpw/v64Q74cGfx7zV5Hlq0aME7/36Drq3qFsMLq2Ffcu1iaNY8jj27ttV5Mtav3i5d8aBGMTSL9elz5E+/XwkHz5a/vE2rODav/8DxVkJfHbFJ6EXvDWWfB6j4uYiKDOd3ixYwvPsCZ4NqgHz9vtDQBXUyUURERGx11k0j4M1N3hNcZWeHN7m02lSDOLXTo41NwNmfXL6nlLdVg82i4AaHJrZ9Z5SVNy1bDsXbviPCbDVkWx9O5GnbzLfbr0hYKFzu40lQIv7gckGHOHv96j26eqLC4ccTbGLDun1wJAUKCy0xNa4PdFISsVbat7Dy2SdTrX/WuQw4cR7G9IJxvS357SSXyybrTOoHW4/CV0dtlWJ0hK1cHNjJmTYcJTVrYi1UUjLsPp5MAzxWunV8H02Era0ebeEX37Aybev32erP8FCbCD6mp/qsi8yePZvZs2ezatUqTpw4wfLly/nqq6+IiHCu7m/rpnCiFuUhQ12aQOyk7m3s3Ls2pU4LPc6UlOzTwSpMVbcXcklNwsuvXKuN7m3ss702urSs+/4bqusHw9L15Vfv92znm8/KLq1qX2khNIQ6J7YlMCiZKCIi0ggM7myNut/dWj6pVLK3XpMImDnYVndJ7bhcVlpv6Tory5ZbYtZvycc61GVlOe+a7Nyga9tm8D8T4aU1kOku7p9Ydt9R4bZi9VvDnNmviEhD17SJtcIQZ3WIs1VkAP/3oZXe9aWwUBje3X7qS8tYmKXPS0e5XNYSoa69vkSC2eTJk7/+/4wZMxzd9pT+8I8atsEACA+zCSPijJ5tLRlX02SiC6vE4kTll6sutxWSNRURCtf0c6YCzDX9YM/J6vVGLqlJuPVVDlbd2sD3RhWP4YSF2PP+DR9912oZa5PFDntZDVmV1k2htSZZNQpKJoqIiDQSI3tYT9wVO62nn8djjbJDQ+wkoEdbmDbQSpNJ3YSFWk+pbcfgo13Wg7jAYyfs0RH2mI/uYatinJ5V2Lkl/Hw6fLwHthy25zm/wGYZhoTYl/xpA6DfZc7uV0REREREGr6BneBfNWyD4cJW88fF+Cqqxsflgol9Yfn2mq0MjAx3rlVFdISVoN52rHR/6aqEhDg3sadjvJUXT75Qs9s1iYDuQT4ppW8H+/F46qd1x5T+8JcNkJNf9XWLRIZZqXlpHJRMFBERaUQ6xMEPx0FWLhw7b8mtiDBLQKmslLNCXDC0i/2cSbeeS//cDHOvthIgIQ6XYyupeTTceKWtMj18zp7v8FArzabeTiIiIiIijVdoiFVSeWWt99Vgbi+JhJgomDPa97E1NmN7w/bjcCzFJvqW5O15iAyDCX1sBZlTbhpuq9HSsqw/cFUxRIXDd0c5szKyyA/HwbMrvLcF8RZDk3C4bXz9JNgagvq6n307wIBOsOO498e97GURoZdu07F+4hP/8+EwloiIiDRU0ZHQpz0M6mxf/pRI9K02zaD/pVI03dv4NpFYUliolc8Z1NlWIiqRKCIiIiIiPdrC3DGWlCnbJ+2pZcX/Dw+F5pd6yDrdD1cssXvnJJtsGllmyU/J5wHsXHJcb6sm5KToSLhnmp0rhpfpyV0yBtelGG4abi0znNS2Gdx1jY1LlO2BXDKG0BBbTfnjiaqo5AsuF9wyEgZ1shWwZZV8LiLDbIzj+2MaT1JXtDJRREREREREREREpFHpexk8MB3WXGqP4ALyCy0xEBoC4SEwvq+1Z2gS4e9og1dkGMy7xkqNrkqA85lW1jI3H6LCwOOCy1tbf0Bf9ZptEQ0/nwGbD8LHu63MZUGBrVQsSu5d0cn6G7Zt7psYOsbDI9fD+n2wIREKC221pgfrF+hywahLrUKaN/FNDGLP93dHwdBTdjyeSLXjsdBjEw9cLlsZO6W/TUxXIrFxUTJRREREREREREREpJFpGWsrzW4YConJkJELoS7rjdi1dflVi+IbISEwtKv9JF+AU2nw5ueW1OnWGppG+T6GyDAru3p1Lyu7ei7DknkxEbaS1dtKNafFRsF1g2DqQDh4BtKzLZHVrInFUHbVoviGy1XcrzE1046HnDw7BjrFq+JRY6ZkooiIiIiIiIiIiEgjFR5qbRHE/9o1t593vnS+nGh1uFzQpZX9+EtoCPRq57/9S7G4GPsRAfVMFBEREREREREREREREZEKKJkoIiIiIiIiIiIiIiIiIl6pzGkNvf4pnLtYt220agpzRjsTj4iIiIiIiIiIiIiIiIivKJlYQ+cuwpFz/o5CRERERERERERERERExPeUTAwwOXnwaSJsOwbJafDcShjTEwZ3sea0IiIiIiIiIiIiIiIiIk5RMjFAeDywchdsTITMXCgotMsPnYWkVFi2DWYNgys6+TVMERERERGRRuPP6yElw5lttYyFW8c6sy0REREREREnKZkYIJZtsxWJOXnl/+bOt583NkGhBwZ3rvfwREREREREGp2UDDh+3t9RiIiIiIiI+JYKYwaAE6nw+cHyicQ5o0v/nuWGt7+AXC8Jx7rIzLVkZaHH2e1KYMu9lMTOL/B3JNJYuXUMioiIiHzN44HE0/D+djifAWt2Q1qWv6MSEREREZFgoJWJAeDDHZbQK6tpVPnLstzw2QGY0Lfu+y302GrH/cmQng2L3ofvjYKO8XXftgS2lbsswZ2aCb9dDtMGwrBu/o5KGpPVCfZed/7SMTi5P1x1ub+jEhEREfGPjfth1W6bWJrltsve3Qqrd0ObZjD7KmjX3L8xioiIiIhI4FIy0UFfLn+aK2c8QOLmt2jbbRjNWnet8zY9HjiaUv3r5xfCpoPOJBM3HYCvjtg2AU6lwd8/g59PB5er7tuXwHQqDdbuLU5wn71os5/7XQbREX4NTRqJs+nwyV64mHPp94s26WJAR4iJ9G9sYpauda5/FFgPqdvGO7c9kdrSsS0iDY3HA//cDFuPlq9k4wEyciHjLCz5CG4fD11b+yVMEREREREJcH5NJu7bt4833niD/Px8YmNj+eqrr3jzzTf9GVKdFBbksfXDxZw9up223YY5ss3c/JrfJs+hkn87jhcnEotczLFSOXExzuxDAs8Xh8uvlD2fCYnJMEj9OqUefHmkOJFYJDUL9pzUCtmGIiUDTqb5OwoR5+nYFpGGZt0+74nEsjJyYek6eHA6NG1SP7GJiIiIiEjw8GsycenSpSxcuJB3330Xj8dDTEzlGao5c+aQnJxcT9F51336s0S37e/1byGh4Qy59l4SN79V6TZ2JyQwedE91duhK5Tes/9OeHRLwPokFpU37RgPP5lUfNWLOfD6p3Dy5AkmT55bve1XosPo+4nvPb3UZefOnGT2t36MJz+ngltJsGt++RQuG3MfIaHFyxALctN57IGfk3P+oB8jk8aiWdfxdBz7ICFhxcsQ83MzePKRh8k+t7fa22nXrh2vv/66L0KUBuhiNqzbD9uP2YBrRg787VO4pr/KvolIw+fxwIEzsCoBzqTDhSxYtBxG94Th3SFC9WYapcJC+Hi390Ti7ePhlbWlL8vIteoOM4c4F4PHY5VxvjwMp9PhwGno0da57YuIlJWbDyt3wpFzVqUmJcOqPYiIiIhv+fW0s0WLFixZsoQVK1Ywe/ZsDh48yOnTp2nb1vvZR0MY9F28wr6w1EW//v156f5V1b7+gmV2YgaWLCzyk0nwwsflrz+i/2W88JPqb78iaVlWDufcpXJeEaEwbngHXvjJe3XetgSu/AJYvBKSztvvIS7o07UZv//ni/4NTBqNgkJ4diUcu1QCOsQFfTvH8vt/LFEJZiknv8BKdO89ZX2kCjzFf/viMCScsMGH2ydAc63UEJEG6FgKvLreEkbZ7uLLT6TBf76C5dthYl/rH6zPwcZlz8mKK9nERpW/zOOxz77pgyA0xJkY3vzcqkYUVcd5dT1880oYrmoRIuIDhYXw/Kric0GAJavgp5OVUBQREfE1vyYTH330UQBOnjzJ3LlzmTu37qvp/OnKGQ8A0HPETY5ud0IfePvL6pUvjYmEaQOd2W+LaPjZVJvxdSHLZj1f0cmZbUvgCguFn022WdBJqdCrHVzdy99RSWMSGgLzJsOa3XD8PPRoA2N7awBVyssvgN9/ZGUpK/oMzXJD9nn43Qdw37X22Sci0lAcPG2lKbPc3v+eV2A/q3dDejZ8a3j9xueEI0eOsHTpUqKiojh8+DCvvPIK3/rWt3jttdeIjQ38keEv3l3I8G88zKkDmyhw59Cx3wTHtp1wourypmUVeqxFQeumdd9/Zi7sO1X6MzYzF9bsUTJRRHxj1wk4lVb6stRMeG8bzL3aHxFJTfzxY3u+nBQXA3dOqvp6IiJSdw2iIM7ChQv9HUKDNqw7fLzHyjeUVLZnWGgIdIyDDnHO7bt5E7h5hHPbk+AQGQ7XDfJ3FNKYRYbBtVf4Owpp6P71ReWJxCIe4EI2vLAaHr5eiWkRaRgycuBP6ytOJJaUk2crzrq2hiu7+jw0Ry1evJhFixZx/Phx3nrrLd5//31GjRpV5e1mzpzJ2bNn6yHCyg2Y/Sdi2/ar8O8eTwFbP1xM+rmjXD70hkq3tWfPbkY++aNq77vH1Cdp1Xva17/fPr54RWL75nBv8Z/IyLGyp6nnU/n2d35GVsqBau+nItGtetD3xucJjypdL/zg4WOMHDm7ztsXESnrshG30emqO8pdvvbTrbzwwE9qvL3WrVuzbNkyJ0KTakjNLK68JiIigadBJBOlcuGhtgpnySpIzSgu0Vay5Gl4KFwWB7eN90+MIiIiDUm2G3YerziRePdUeG5l6csu5sChM3C5D3o97TxufapSMmD5NpgyQD3OxDmFhbB2H2w7Cucz4PODMKK7EuOBbmNixavOvL2H5eTBB9sDL5nYvn17nn32WRISErjjjjs4dOgQp06d4siRIwwYMKDC2zWUwd9nPrBKCRVxuUIZcu29X69MrEzfvv14ZdOmau/7nS9hbYl20SV7JN47zVp0lBUXF8fb/3rdkZX4eQXw2/eK22IU6dezMy/W4H6IiFTX8RRr91N2os03Jg/hTw/qfUfqpqAQdiXZqvsst51TbjkMgztblS4RkcZOw1gBokU0PHAdrNsHmw6Au8B6XoS4IDoCJvazUjJO9b4QEZH6lZ2dzfz584mKimLr1q2sWbPG3yEFtKLPyopER5S/LMsNK3bBXQ4nE1cnwKrdxb3OViVA4mlLBoQo2SMOeHW99U7LL7Tf/73FegmpukTgKvTAxv02qOWNt/cwsPexYynQuaXvYnPaQw89BMD8+fMZNmwYo0ePZs6cOX6OKjAM72aDnJm51b9NkwjnSnqHh1qvzvd3WJldFxAfCzcHYLldEQkMnVpC/8uszHOW296H2jWHax1q9yONU16BtXjamGjfwUpO5vrXZvj3F9b6afogiAr3X5wiIv6mZGIAiQqHqQPshO18BrjzITpS/Z1ERILB888/z7x58+jfvz+zZ1tpsLvuuosf/ehHDBs2zM/ROW/Tv59gxDd/AcDm//yGkd96wtHt70iynok1dSLV0TAoKITPDhQnEsHKqp5KsxmvfTs4uz/xP18f22WdTofD54oTiWDfERNOwPRc66ctged8iWokNZHlht0nAiuZWOSZZ57xdwg+MfwbDwPQvsdIx7fdMR5iI6ufTAwPhYl9nY1hZA/o0wE2H7Ik97BuGmgVEd/63mibOLMrydr8DOyoifVSe9lu+P1HcOai9/PH3Hz7d+N++451z1Ro2qR+YxQRaSiUTAxAIS5o1dTfUYiIiJN27drFfffdR1JSEj169GD58uWMHj3a32H51LYVz/ls2xWVBqyKpxaD95W5mGOJnbJy8+HgaSUTg5Uvj+2yTpy3XmhlZbvhTDp0a11voYiDavseBpBZjR6LEjxuHgF/Wle+5J+394X4GFtZ4bQW0TbpVUSkvnRuGZgTZ6RhKSiEF1bb5LyKqkF8fV0PpGTCcx/BA9MhUiPqItII6a2vhpxI4ikRKCIiZU2cOJF58+bhdruZNm0aO3fuJCkpifT09EpXJo4ZM4bUVIeX09XRyNv+TbN2VS99GDztbsBWb1Vm79499Pv5t2oUw/Af/I24TkO+/v3uqaXLAraKhYevL/49y239x9LSUunXb0yN9lUZV0g4Y+5cRnRc51KX5+dmsuiJB3kwUeVsA0lDOLbLimnVg+Fz/kxETHypy9NSTnHjdTfjzqqkmZs0WE3iOnPV3L9//bxW9z0M4NWXl/D4D/5Q5T7i4uLYuHGjk2GLH/RoC7NHwL++KL1CsWT/xLAQKz/60ym2OlFERESs33hlicTHZsJTJVo0ezyQlgmf7rd2U76UmmmVR7LdVqJcRPzv9AV7v8gvaLx9VJVMrKE5wb1IRERE/GTu3LnMnTuXZ555hqFDh/Ltb3+bTz75hNjY2Epv1xAHgv93OZxMc257ffr05U+7d9foNh/tgg93Fp8YFg2yF3n4elj4Xvnb9e0axx9quK+qvL/deh6XXGnUrX0Mz73zPCEqyRRQGsKx7c0LH0NisvV4AUsWDB/cnhe3bKjztsU/CgrhV+8Ury6r7ntYdAQ89+uf0r3NT30fpDQYg7tA+zhYsQP2n4bCQhvwDA2BiDAY1xtG97T/i4iIiPkoobiMqTfePjfzCmHNXpjQF1wu52PKybOKA8kXICsXfrvcSvnOGuab/YlI1c5dtNdleo5N3ntqGUztD6N6+juy+qfTCRERkQZk/vz5X/9/woQJ/gvEx0r2kfNFT7nRPWHNnvJl3yrTJMI3ZdqmD7JVRBsSbQZbt9YwcwhKJAYpXx/b3twxHlbshN0nwQUM7WoDHBK4QkNg5OXw8e7iJHF1RIWrtG1j1bYZ/OBqG4Q8fQHyCqxnarvmGnwUEQkk+fn53H///cTExLBlyxZ+/etfM3Kk8313G7tTaXAhq3a3zcuHA2egZ1tHQwLgz+thf3Lx72lZ1pe4VVMY38f5/YlI5Qo98NIa66taJDUT3tsOHVtCp/iKbxuMNIwlIiIiQScmEvq0t9Ju1b5NBPRs55t4RlwO918LD86w/lZR4b7ZjzROYaEwYzD8fLr1cJnUz3psS2Ab17tm7xWRYTBlgBJHjV1UOHRpZeVP27fQ8SAiEmhefPFFZs2axYIFC4iOjmbIkCE89dRTvP766/4OrV7sXvdnzh7dBsDav97rs/2cTq/ZhK2S3AVw5oKz8YCteDqVVv7y3Hz47IDz+xORqh08DReyy1+emWtVQRobrUwUERGRoPSdkVYe5ky69ZsoqeyKxaZRcOckJWBEpOFo1sRaLPx1I2Tnlf5b2fewyDAY2MlWM4qIiEjg2rx5M7fccgt5eXlERESwdu1arrzySs6dO1flbXv27ElmZmY9RFk70x74hOZte1V5vb0b/0bSnk+4cOZgldfdn7ifDh0m1DiWzkNnceW3fkt4RAxg/RHLljVtGgVP3lj8uzvfyhvm5Rfy2ONPsn/9yzXeb2ViW3Vn0l3vENW0fJmJxAOH6NDhakf3JyJV6zxkFiO/u8Tr39Z+tpVffndGPUfknJiYGBITE2t0GyUTRUREJChFhMG906xUzJFzNhjvuTT7tKj/WHSEnST+eCK0rLw9pYhIvet3GfxoHPxlo5WtLOq9WvQeFnapJ97IHjBzsFah+YOTnx36HBIRkRkzZnDPPffQpUsX2rZty5YtW8jJyeHs2bPMmTOn0tvWdFC4vi1YZisCq9JnzPdo3WUw6WePVHndXj178erJkzWOJSEJ/vpp8Xerp5aVv86TN1oP67Iiw0P47f97kqsuf7LG+61MQSE89S6c95IPHjKgO0trcT9FpG5SMmDxCriYU/pyF/Dt64bw10ca1+tSyUQREREJWhFhlihMybAeijuToKDABtw7t7QeiZ1bagBeRBqunu1sMCvhBKxKsAEmD7YacVQPGN0DoiP9HWXjdetYf0cgIiLBZPbs2cyePZtVq1Zx4sQJ5s6dy5EjR9iwYYO/Qwsq3drU/rYhIdDLB+0xQkOsL+KKnaWrUDRrAjde6fz+RKRqLWOtfcCuJJvc+fXlTWFSX//F5S9KJoqIiEjQaxkLNw23HxGRQBMSYmVMB3bydyQiIiJSHyZPnvz1/7t27UrXrl39F0w96jfu1q//P/77i322n+gI6NsBth6t+W07xUNcjPMxgSUTW8XCyl22ajI+Fm4YCu2a+2Z/IlK174+BDftg00FbQdy1FVw/pHFO6FQyUUREREREREREREQajSn9Yc/J4lKn1REVDtMG+C4mgP4d7UdEGoYQF4zrYz+NnZKJIiIi4iinez6ph5Q0FDq2RURERESCQ4c4uO4KeH875OaX/7u7zGWRYTCml5WgFxFpjFwej8fj7yBEREREREREREREJDgtWAan053dZttm8MjMum1jw354bxvk5UOBl1Fylwsiwqw/2tQB9ruISGOklYkiIiIiIiIiIiIi0uhc3Qv6Xwbr9sHnB0v/rdADw7rC+L7QuqlfwhMRaTCUTBQRERERERERERGRRikuBm4YCtcPhnMZkJtnZU3jYyE81N/RiYg0DEomioiIiIiIiIiIiEijFhpipVNFRKS8EH8HICIiIiIiIiIiIiIiIiINk1YmioiIiIiIiIiIiIjPxMUExjZFRMQ7l8fj8fg7CBERERERERERERERERFpeFTmVERERERERERERERERES8UjJRRERERERERERERERERLxSMlFEREREREREREREREREvFIyUURERERERERERERERES8UjJRRERERERERERERERERLxSMlFEREREREREREREREREvFIyUURERERERERERERERES8UjJRRERERERERERERERERLxSMlFEREREREREREREREREvFIyUURERERERERERERERES8UjJRRERERERERERERERERLxSMlFEREREREREREREREREvFIyUURERERERERERERERES8UjJRRERERERERERERERERLxSMlFEREREREREREREREREvFIyUURERERERERERERERES8UjJRRERERERERERERERERLz6/wFvFDurWsBBLgAAAABJRU5ErkJggg==", + "image/png": "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", "text/plain": [ "
" ] @@ -566,7 +574,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f37caaf11b5a43e8b4747eabe0d79221", + "model_id": "fe4e8457fbfb4424a97bb6b4b6b7b74c", "version_major": 2, "version_minor": 0 }, @@ -600,7 +608,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "We found 9 correct distinct solutions.\n" + "We found 14 correct distinct solutions.\n" ] } ], @@ -663,7 +671,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -686,7 +694,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -719,7 +727,202 @@ }, "widgets": { "application/vnd.jupyter.widget-state+json": { - "state": {}, + "state": { + "03d33765b32348cd99e0c142aef54982": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1618a69458094f6b8fbd7bfb91e2e017": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "18bf2b9fd57d4d0180ec449f8bb8a1b6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "191d4cfc12cb44fab282782694266f84": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "270097da80bc4403a43c4836960439be": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_7649e92633d5449ba1f75ba923caa2db", + "max": 39, + "style": "IPY_MODEL_bc9136efb2b6499891f52696fc51749b", + "value": 39 + } + }, + "3dcfa17cb0054ebdba5cacd6ab52de70": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_5e79c90143874a4dbff6288f2effaf2d", + "style": "IPY_MODEL_1618a69458094f6b8fbd7bfb91e2e017", + "value": " 38/38 [00:00<00:00, 59.61it/s]" + } + }, + "4b6338ab1f8c4c7fb7d04a345c8c2a01": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "5e79c90143874a4dbff6288f2effaf2d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6c0ab400b9f94221b21b1f752fad9d67": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6ce22a951a024551a28163b350f41baa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_ce5121137e9e431788446c0dc52f4e83", + "style": "IPY_MODEL_6eeebe6a7b3f43b2acad1557ef6e0f9d", + "value": "100%" + } + }, + "6eeebe6a7b3f43b2acad1557ef6e0f9d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "7649e92633d5449ba1f75ba923caa2db": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "7857904b4a424a8ba2b7ebecedcf45ec": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8beef3c8b667498c8473b483d921eb08": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bc9136efb2b6499891f52696fc51749b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "bdf3fa8d5a7b4131b507a088ee42ee2f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_03d33765b32348cd99e0c142aef54982", + "max": 38, + "style": "IPY_MODEL_4b6338ab1f8c4c7fb7d04a345c8c2a01", + "value": 38 + } + }, + "c0021c2816a2424a85fecf16a4e8f4b0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_7857904b4a424a8ba2b7ebecedcf45ec", + "style": "IPY_MODEL_faf6f6e2c0914d9a9e1f032170f2b120", + "value": "100%" + } + }, + "ce5121137e9e431788446c0dc52f4e83": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "cf9cec7f528a4adeb83f89bd27c52fcd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_c0021c2816a2424a85fecf16a4e8f4b0", + "IPY_MODEL_bdf3fa8d5a7b4131b507a088ee42ee2f", + "IPY_MODEL_3dcfa17cb0054ebdba5cacd6ab52de70" + ], + "layout": "IPY_MODEL_191d4cfc12cb44fab282782694266f84" + } + }, + "ecc696f17ef240f4a52ba3befd5cf5e2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_8beef3c8b667498c8473b483d921eb08", + "style": "IPY_MODEL_18bf2b9fd57d4d0180ec449f8bb8a1b6", + "value": " 39/39 [00:04<00:00, 7.94it/s]" + } + }, + "faf6f6e2c0914d9a9e1f032170f2b120": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "fe4e8457fbfb4424a97bb6b4b6b7b74c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_6ce22a951a024551a28163b350f41baa", + "IPY_MODEL_270097da80bc4403a43c4836960439be", + "IPY_MODEL_ecc696f17ef240f4a52ba3befd5cf5e2" + ], + "layout": "IPY_MODEL_6c0ab400b9f94221b21b1f752fad9d67" + } + } + }, "version_major": 2, "version_minor": 0 } diff --git a/src/examples/2_unitary_compilation.ipynb b/src/examples/2_unitary_compilation.ipynb index 70f5c15..6fc5555 100644 --- a/src/examples/2_unitary_compilation.ipynb +++ b/src/examples/2_unitary_compilation.ipynb @@ -282,7 +282,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -346,7 +346,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABxMAAAETCAYAAAD9HCj7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB9HElEQVR4nO3dd5xU1f3/8ffM9sYuC7sssLCUpfcqHcWCPfZe0KhJTDHN/IwxtiRfY0yiJvnGbzrG2EnU2EMEFVCkLr2zdFiWvr3N/f1x2IWFAfbOzsy9M/N6Ph7z0J2Ze8/ZYfZ+7jmfUzyWZVkCAAAAAAAAAAAAgBN4na4AAAAAAAAAAAAAAHcimQgAAAAAAAAAAADAL5KJAAAAAAAAAAAAAPwimQgAAAAAAAAAAADAL5KJAAAAAAAAAAAAAPwimQgAAAAAAAAAAADAL5KJAAAAAAAAAAAAAPwimQgAAAAAAAAAAADAL5KJAAAAAAAAAAAAAPwimegwj8ejRx99tOnn6dOny+PxaMuWLY7V6XROrK/Tpk2bJo/HI4/Ho4EDB572vY2f7aJFi8JUOwCSdOjQoaa/U4/Ho1/+8pdOVwkAAAAAAAAA0EJRkUzctGmTvvKVr6hHjx5KTk5WmzZtNH78eD377LOqqqpyunoIsfbt2+uFF17Qz3/+82bPd+vWLeDE59lnn61p06YFdOyjjz6qbt26BXRsS7Tm95o2bZrOPvtsW8d8/PHHrUpwezweTZ8+3fZxrfkcW1vnYIj0+rfGid+ztLQ0vfDCC3r66aedqxQAAAAAAAAAICDxTlegtd59911de+21SkpK0m233aaBAweqtrZWc+fO1f33369Vq1bpj3/8o9PVPKWqqirFx0fOP4Mb65uWlqZbbrnF6WoAOIWEhATdcsst2rJli77zne84XR0AAAAAAAAAgA3uygrZVFxcrBtuuEEFBQWaNWuWOnbs2PTa17/+dW3cuFHvvvuugzU8s+TkZKerYEuk1RcAAAAAAAAAAACBi+hlTn/xi1+ovLxcf/nLX5olEhsVFhbqvvvua/q5vr5eP/nJT9SzZ08lJSWpW7duevDBB1VTU9PsuG7duunSSy/Vxx9/rJEjRyolJUWDBg3Sxx9/LEn617/+pUGDBik5OVkjRozQ0qVLmx0/bdo0paena/PmzZo6darS0tLUqVMnPf7447Isq9l7W7oH4fvvv6+JEycqLS1NGRkZuuSSS7Rq1aozHvfoo4/K4/Gc9Ly/vRkXLVqkqVOnqn379kpJSVH37t115513nra+jeffuHGjpk2bpqysLGVmZuqOO+5QZWVls2Orqqr0rW99S+3bt1dGRoYuv/xy7dy50+9nsHbtWm3btu2Mv18gampq9N3vflc5OTlKS0vTlVdeqdLS0pCUdbx//OMfGj16tFJTU9W2bVtNmjRJ//nPfyRJs2bNktfr1cMPP9zsmJdeekkej0fPPfdcSOp09tlnN9vL7vhHIEuTnklVVZX69u2rvn37NluC+MCBA+rYsaPGjRunhoaGoJfb6IsvvtDFF1+stm3bKi0tTYMHD9azzz7b7D1r167Vddddp5ycHKWkpKhPnz760Y9+5Hj9N2zYoKuvvlp5eXlKTk5Wfn6+brjhBh0+fFiSdNVVV2n48OHNjrnsssvk8Xj073//u9ln4PF49P777zfV/fvf/74GDRqk9PR0tWnTRhdddJGWLVvW7FyNS6+++uqrevDBB5WXl6e0tDRdfvnl2r59e0h+ZwAAAAAAAACA8yI6mfj222+rR48eGjduXIvef9ddd+nhhx/W8OHD9fTTT2vy5Ml64okndMMNN5z03o0bN+qmm27SZZddpieeeEIHDx7UZZddphdffFHf+c53dMstt+ixxx7Tpk2bdN1118nn8zU7vqGhQRdeeKE6dOigX/ziFxoxYoQeeeQRPfLII7Z/zxdeeEGXXHKJ0tPT9eSTT+rHP/6xVq9erQkTJgRtT7W9e/fqggsu0JYtW/TAAw/ot7/9rW6++WbNnz+/Rcdfd911Kisr0xNPPKHrrrtO06dP12OPPdbsPdOmTdNvf/tbXXzxxXryySeVkpKiSy65xO/5+vXrp9tuu63Vv5c/3/zmN7Vs2TI98sgj+trXvqa3335b3/jGN0JSVqPHHntMt956qxISEvT444/rscceU5cuXTRr1ixJ0pQpU3TvvffqiSee0JIlSyRJu3fv1je/+U2dd955+upXvxqSev3oRz/SCy+80OwxdepUSVJubm7Qy0tJSdHzzz+vjRs3NiXoJDOT+PDhw5o+fbri4uKCXq4kzZw5U5MmTdLq1at133336Ve/+pXOOeccvfPOO03vWb58uc466yzNmjVLd999t5599lldccUVevvttx2tf21traZOnar58+frm9/8pv73f/9X99xzjzZv3qxDhw5JkiZOnKhly5bpyJEjkiTLsjRv3jx5vV7NmTOn6Vxz5syR1+vV+PHjJUmbN2/Wm2++qUsvvVS//vWvdf/992vFihWaPHmydu3adVJdfvazn+ndd9/V//t//0/f+ta3NHPmTJ133nnsTwsAAAAAAAAA0cqKUIcPH7YkWV/60pda9P6ioiJLknXXXXc1e/773/++JcmaNWtW03MFBQWWJOuzzz5reu7DDz+0JFkpKSnW1q1bm57/wx/+YEmyZs+e3fTc7bffbkmyvvnNbzY95/P5rEsuucRKTEy0SktLm56XZD3yyCNNP//tb3+zJFnFxcWWZVlWWVmZlZWVZd19993N6r1nzx4rMzPzpOdP9Mgjj1j+/plPLOeNN96wJFkLFy487flOrG/j+e+8885m77vyyiutdu3aNf28ePFiS5L17W9/u9n7pk2bdtI5G8uZPHnyaetiWeazLigoOOP7LOvY73zeeedZPp+v6fnvfOc7VlxcnHXo0KEWnceuDRs2WF6v17ryyiuthoaGZq8dX4+KigqrsLDQGjBggFVdXW1dcsklVps2bZp930Jt3rx5VkJCwkn/nsH2wx/+0PJ6vdann35qvf7665Yk65lnnglZefX19Vb37t2tgoIC6+DBg81eO/7fYNKkSVZGRsZJn/nx73Gi/kuXLrUkWa+//vop37Nw4UJLkvXee+9ZlmVZy5cvtyRZ1157rXXWWWc1ve/yyy+3hg0b1vRzdXX1Sd/L4uJiKykpyXr88cebnps9e7YlyercubN15MiRpudfe+01S5L17LPPnvH3KC4utiRZTz311Jl/aQAAAAAAAACAK0TszMTG2TcZGRktev97770nSfrud7/b7Pnvfe97knTS3or9+/fX2LFjm34+66yzJJkZZF27dj3p+c2bN59U5vGz3Twej77xjW+otrZW//3vf1tUZ8nMpjp06JBuvPFG7du3r+kRFxens846S7Nnz27xuU4nKytLkvTOO++orq7O9vEnzpybOHGi9u/f3/Tv9MEHH0iS7r333mbv++Y3v+n3fJZlNS0rG2z33HNPs6VfJ06cqIaGBm3dujUk5b355pvy+Xx6+OGH5fU2/5M7vh6pqamaPn261qxZo0mTJundd9/V008/3ez7Fkp79uzRNddco6FDh+r3v/99SMt69NFHNWDAAN1+++269957NXnyZH3rW98KWXlLly5VcXGxvv3tbzd91xs1/huUlpbq008/1Z133nnSZ37iUsHhrn9mZqYk6cMPPzxp+eBGw4YNU3p6uj799FNJZgZifn6+brvtNi1ZskSVlZWyLEtz587VxIkTm45LSkpq+l42NDRo//79Sk9PV58+fZpmyR7vtttua3bdveaaa9SxY8emaywAAAAAAAAAILpEbDKxTZs2kqSysrIWvX/r1q3yer0qLCxs9nxeXp6ysrJOSiSdmExo7Mzv0qWL3+cPHjzY7Hmv16sePXo0e653796SZGtp0g0bNkgyScycnJxmj//85z/au3dvi891OpMnT9bVV1+txx57TO3bt9eXvvQl/e1vfztpP8lTOfHzatu2raRjn0vj59+9e/dm7zvx3yMczlTXYNu0aZO8Xq/69+9/xveOHz9eX/va17RgwQJNnTr1pD0rQ6W+vl7XXXedGhoa9K9//UtJSUkhLS8xMVF//etfVVxcrLKyMv3tb3/zu7dnsGzatEmSNHDgwFO+p3FAwOne0yjc9e/evbu++93v6s9//rPat2+vqVOn6n//93+b9kuUpLi4OI0dO7ZpSdM5c+Zo4sSJmjBhghoaGjR//nytXr1aBw4caJZM9Pl8evrpp9WrVy8lJSWpffv2ysnJ0fLly5udv1GvXr2a/ezxeFRYWBi0JZcBAAAAAAAAAO4S0cnETp06aeXKlbaOa2mH/6n2PTvV85Zl2apHSzXuxfjCCy9o5syZJz3eeuut0x5/qt+3oaHhpPfNmDFDn3/+ub7xjW9o586duvPOOzVixAiVl5efsZ7h/lxaw811rampaZqRuWnTplPOQgu2+++/X59//rlee+015efnh6XMDz/8UJJUXV3dlDSPJOGu/69+9SstX75cDz74oKqqqvStb31LAwYM0I4dO5reM2HCBC1cuFDV1dVNycSsrCwNHDhQc+bMaUo0Hp9M/J//+R9997vf1aRJk/SPf/xDH374oWbOnKkBAwactBcsAAAAAAAAACD2RGwyUZIuvfRSbdq0SZ9//vkZ31tQUCCfz3dSp39JSYkOHTqkgoKCoNbN5/OdtPTp+vXrJUndunVr8Xl69uwpScrNzdV555130uPss88+7fGNs+4OHTrU7PlTLek5ZswY/exnP9OiRYv04osvatWqVXrllVdaXN9Tafz8i4uLmz2/cePGVp/b7Xr27Cmfz6fVq1ef8b2PPPKI1qxZo1/+8pcqLi7WAw88EPL6vfLKK3rmmWf0y1/+UpMnTw55eZK0fPlyPf7447rjjjs0bNgw3XXXXX5nwQVL49/R6QYfNM4kbskAhXDXv9GgQYP00EMP6dNPP9WcOXO0c+dO/d///V/T6xMnTlRtba1efvll7dy5sylpOGnSpKZkYu/evdWhQ4emY2bMmKFzzjlHf/nLX3TDDTfoggsu0HnnnXfSNaPRiddQy7K0ceNGW9c1AAAAAAAAAEDkiOhk4g9+8AOlpaXprrvuUklJyUmvb9q0Sc8++6wk6eKLL5YkPfPMM83e8+tf/1qSdMkllwS9fr/73e+a/t+yLP3ud79TQkKCzj333BafY+rUqWrTpo3+53/+x+9ehqWlpac9vjGJ0riPmiRVVFTo+eefb/a+gwcPnjQzb+jQoZLU4qVOT2fq1KmSdNJefL/97W/9vn/t2rXatm1bq8t1gyuuuEJer1ePP/74STO9jv/Mv/jiC/3yl7/Ut7/9bX3ve9/T/fffr9/97nf65JNPQla3lStX6q677tItt9yi++67L2TlHK+urk7Tpk1Tp06d9Oyzz2r69OkqKSnRd77znZCVOXz4cHXv3l3PPPPMSUmyxn+DnJwcTZo0SX/9619P+u4d/+/kRP2PHDmi+vr6Zs8NGjRIXq+32d/nWWedpYSEBD355JPKzs7WgAEDJJkk4/z58/XJJ580m5UomZm6J/7tv/7669q5c6ffuvz9739vtrz0jBkztHv3bl100UWt+h0BAAAAAAAAAO4U73QFWqNnz5566aWXdP3116tfv3667bbbNHDgQNXW1uqzzz7T66+/rmnTpkmShgwZottvv11//OMfdejQIU2ePFkLFizQ888/ryuuuELnnHNOUOuWnJysDz74QLfffrvOOussvf/++3r33Xf14IMPKicnp8XnadOmjZ577jndeuutGj58uG644Qbl5ORo27ZtevfddzV+/PhmScsTXXDBBeratau+/OUv6/7771dcXJz++te/Np2j0fPPP6/f//73uvLKK9WzZ0+VlZXpT3/6k9q0adOUiG2NESNG6Oqrr9Yzzzyj/fv3a8yYMfrkk0+aZmueuBxrv379NHny5KYlP93g7LPP1ieffGJ7OdTCwkL96Ec/0k9+8hNNnDhRV111lZKSkrRw4UJ16tRJTzzxhKqrq3X77berV69e+tnPfiZJeuyxx/T222/rjjvu0IoVK5SWlnbKMhpnhdndt+6OO+6QpKYlLo83bty4k/b9bPTxxx/rnHPO0SOPPKJHH33UVpk//elPVVRUpI8++kgZGRkaPHiwHn74YT300EO65pprTvt9e/TRR/XYY49p9uzZZ5yVezyv16vnnntOl112mYYOHao77rhDHTt21Nq1a7Vq1aqmJUt/85vfaMKECRo+fLjuuecede/eXVu2bNG7776roqIix+o/a9YsfeMb39C1116r3r17q76+Xi+88ILi4uJ09dVXN70vNTVVI0aM0Pz583XZZZc1/V1NmjRJFRUVqqioOCmZeOmllzbNshw3bpxWrFihF1988ZT/9tnZ2ZowYYLuuOMOlZSU6JlnnlFhYaHuvvvuFv8+AAAAAAAAAIDIEdHJREm6/PLLtXz5cj311FN666239NxzzykpKUmDBw/Wr371q2Yd3H/+85/Vo0cPTZ8+XW+88Yby8vL0wx/+UI888kjQ6xUXF6cPPvhAX/va13T//fcrIyNDjzzyiB5++GHb57rpppvUqVMn/fznP9dTTz2lmpoade7cWRMnTmxKBp1KQkKC3njjDd1777368Y9/rLy8PH37299W27Ztmx3bmFx95ZVXVFJSoszMTI0ePVovvviiunfvbrvO/vz9739XXl6eXn75Zb3xxhs677zz9Oqrr6pPnz5KTk4OShmhVF5erry8vICOffzxx9W9e3f99re/1Y9+9COlpqZq8ODBuvXWWyVJDz74oDZu3KjPPvus6bNITEzU888/rzFjxuj+++8/aVbn8SoqKlRYWGi7XqWlpaqoqNA999xz0mt/+9vfTplQatxHs2PHjrbKW7Jkif7nf/5H3/jGN5ol8B944AG99dZbuvvuu7Vq1SplZWWdslyPxxPQv8PUqVM1e/ZsPfbYY/rVr34ln8+nnj17NrtGDBkyRPPnz9ePf/xjPffcc6qurlZBQYGuu+46R+s/ZMgQTZ06VW+//bZ27typ1NRUDRkyRO+//77GjBnT7L2NsxAnTJjQ9FxeXp4KCwu1cePGk5KJDz74oCoqKvTSSy/p1Vdf1fDhw/Xuu++econdBx98UMuXL9cTTzyhsrIynXvuufr973+v1NRUW78TAAAAAAAAACAyeCy706xwRtOmTdOMGTOaEi44taKiIg0bNkz/+Mc/dPPNN9s+ftq0aZo1a5aWLFmi+Pj4UyZxWqusrEzZ2dl65pln9PWvfz0kZQRq9erVGjBggN55552QLNfrzw9+8AO9/PLL2rhxo5KSksJSpiSNHj1aBQUFev3118NWZjBFcv0bZ6O+/vrruuaaa2wda1mW9u/fr+3bt2v48OF66qmn9P3vfz9ENQUAAAAAAAAABFPEz0xE5KiqqlJKSkqz55555hl5vV5NmjQp4PNu375dOTk5GjBggFauXNnaavr16aefqnPnzq5cynH27NkaO3Zs2BKJjWX++Mc/Dmsi8ciRI1q2bNlJ+31Gikivf2scPnzY1vLOAAAAAAAAAAD3IJmIsPnFL36hxYsX65xzzlF8fLzef/99vf/++7rnnnvUpUuXgM75gx/8QLfccoskKT09PZjVbeaSSy4Ja7LOjq9//ethny25cOHCsJYnmf1Da2pqwl5usER6/VsjPT1dM2fObPq5d+/eDtYGAAAAAAAAAGAHyUSEzbhx4zRz5kz95Cc/UXl5ubp27apHH31UP/rRjwI+Z//+/dW/f/8g1hJAsMXHx+u8885zuhoAAAAAAAAAgACwZyIAAAAAAAAAAAAAv7xOVwAAAAAAAAAAAACAO5FMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfpFMBAAAAAAAAAAAAOAXyUQAAAAAAAAAAAAAfsU7XQEA7lVRI20/IG3fL+09ItU1mOeTE6SOWVKXbKlzWykpwdFqhk2Dz3wO2w9IOw5I5dXmufg4KTNFys+WurST2qdLHo/TtQ2PuirpyF6pbI9UcUBqqDO/e1yClNZeatNByuggxSc6XVMAsK+6Ttp5wFz3dx+WaurM8wnxUoc2Jg7mZ0tpSc7WM1wsS9pffvTe4IB0uFKqb5DivFJ68tE4mC3ltjHPxYL6Wql8r3SkRCrfJzXUms8pLl5KzT4WBxNTna4pANhX1yDtPmTagzsPSlV1ks+SErxSuwxzze+SLWXGyDXOsqSacqmsxFz3qw5LvnrJ45Xik6SMHHPNz8iRvDHS21bf+B05YL4jlbXHviPZ6Ue/I+1MezlW2sgAokeDTyo5fLQf8KBUUS01WFK818S+xjjYLtb6AUtMLGzWD5gopbc/GgdzY6cf0OeTSk7RV9wm5bjvSIbkjYLvSIzc3gBoqQaftGK7NHeDtLHkzO/3eqRBXaQJvaXC3OgMnvvLpc82SPM3mQTrmbRNk8b3ksb0NJ2r0cbnk/ZtknYUSQe2tuAAj5TTU8ofKmUXROd3BED0sCxp/R5p3gZp5Q7TIXYmvfPMdX9gfnQm0cqrTQz8bIN0oOLM709NlMYUms+kXXro6xduliUd2mHi4N4NkuU78zFZ+VKXoVJOL8kbF+oaAkDrbD8gzVsvLd5ybEDp6eS3lcb3loZ3k5KisJepoVbas1baXmQGkJyJN17K62faP206hLp2zth1UJq7Xlq0RaqtP/P7O2ZJE3pJI7qbwckA4Gb7yo71A1bWnvn92Uf7Ac+K1n7ABqn0aD/gwW0tOMAj5RSa9k/brtHZD3igXPpsozR/o1Tekr7iVGnc0b7ijJTQ1y9UPJZltaCLBEC0syxpyRbpraXSkarAztExU7p2tNQjN6hVc0xZlfSvxdLSliTM/IjzmpuJS4ZGT6O6ZJ20frYZkRuI1Gyp73lSdtfg1gsAgmFDiTRjgRlZGIisVOmK4dLQguDWyym19dK7y0xnYUMLEmb+DO0qXT0yshtMxzu0U1r7X6m8NLDjE9OkXpNNJ3M0NqoBRLY9h6XXvpA2B3iNS06Qpg6SJveRvFEwuMbySdsWS8Wfm5nogcjKl/qdL6W1C27dnFJ6RHptgblnCkRSvHT+QOmcftE5AAtAZDtSJf1rkVTUkoSZH/FeaWIf6aLBUmIU9ANalukH3PBx4P2Aae1MP2DbLkGtmmPKq6U3Fps+9ECSanEek1S8dGhkrvRHMhGAjlSZBsHKHcE53+S+0iVDIjdwWpZJIM5Y2LIRSGfSLl26aYzUM4JHpdZWSus+MjcRwZA/VCqcFDvLHgBwt5o66Z0iac764JxvSFfpmlFSRgSPSt20V3r5c2lfgI3G46UmSlePkoZH8Oz0hjpp01zTqRwM7XuazuWkKJy5CSDyNPik2Wuk95cHPnjkeN3bSzeONcteR6qK/dLqD6TDu1t/Lk+c1HO8VDDSLIkaiXyW9Ok66d2ils1WPZOu7aQbx5gZiwDgNMsys/H/uUiqCkI/YE6GucZF8mSLmgoziLJ0Q3DO12W4VDjBLIcaqYq2Sa8vaNmqdWeSnWa+I73yWn+ucCKZCMS4XQel52ZJZdXBPW9+tvTVcyJver9lSW8ukT5ZG/xzXzPKLAcbaSr2S0teD3wU0qmktZeGX0NHKgBnHamS/m+WtOtQcM+bmSJ97VwpLzO45w2HzzaYQUbBNqmPdMWIyNsrorZSKvqn2RskmBJTpWHXmr21AMAptfXS3+ZIa3YF97yJcdKXJ0t9Ogb3vOGwf4u07E2zH2Iwte8hDbrM7C8fSeobpL/Pk5ZvD+55473SHZOkAZ2De14AsMNnSW8sCt7A0uNdf5Y0tjD45w218n2mH7C2BVtc2JGeIw27RkpKC+55Q82ypLeLpFmrg3/uK0eYSTmRgmQiEMN2H5J+OzM4s+/8ycuUvnm+lJYUmvMHm2WZUUhzQ3AD0eiqkaYzNVJUHJAWvSLVVYbm/CltpZE3RN6NBIDoUFZt4uDeAJc1PZO0JOlb50sdIiihOHe9mZkfKuN7mcE1kTJDsa5KWvyqaVCHQnySNOIGEooAnFHXIP3pY7NXcCjEeaV7zo6shOL+LVLRv1q2H24gsgukoVeafRUjQX2D9NdPpdVBTjY38nqkL0+SBuSH5vwAcDqWZQZRfr4xdGVcO9q0gSJF+T7T/qkLcAusM0nNNv2AiamhOX+whXLSSaMvDTfLf0eCCF1gAUBrlVVLz30UukSiZPbc+NPHwVkqJxxmrQ5tIlEya68He0RnqNRVm5FIoUokSlLVQTPbwxeEpXIAwI76BumPs0OXSJTM8ifPzQrOMijhsHJHaBOJkjRvg/TfVaEtI1gsn5mZEqpEoiTV10hLXzfLCAFAuL38eegSiZJpB/7lEzOINRKUl5rrfqgSiZJ0YKu0+sPQnT/YZiwMXSJRMjOC/jZH2n4gdGUAwKnMXBnaRKJklsVcFaRtpUKttkpaOiN0iURJqjxgBu1ESj/gJ2tDm0iUpLeWSEVbQ1tGsJBMBGLUPxdKR2wubfrwFeZhx5Z9oZkGHmy7D0nvLbN3TCCfhyS9+oXZsNft1s+WasrsHTP+HvOwo2yvVPy5vWMAoLVmrrLfcRXIdf9QpVk2x+0qaqRX5ts/LpDP5IPlZpl1t9u6SDq0094xgcTB2kqzHwnrxQAIp6Kt0hKbHVeBXPNrG6SXPnf/AFNfg7TqA/tLmwZy3d+zRioJ8SDWYFi1Q5q/yd4xgXxH6n3mO1IfIR3LAKLDjgPSByvsHRNoP+ArX0TGANP1s+xvcRRIHDyyR9ryhb1jnLDnsPROkb1jAv2OvLZAKgthEjdYSCYCMahoq9k01q6UBPOw64MV7h6N2nC08dJgsxMv0M+josYsp+pm+zZJuwOYORKfaB52FX8R/L2oAOBUdhwwo1DtCvS6v2iLmfXnZv9cKJUH0MAN5DNpsNzfsVyxX9o0z/5xgcbB0g1SyTr7xwFAIMqqpdcDmIkeaBzcfkCavcb+ceG0daFUFkB7JNDr/tqZZjCJW1XWSK8GsH9yoN+R3Yek/wRwbwYAgahvkF6ab2ZH2xHoNa6s2v0DTPduMINd7Aq4H3C+mVzgVj6fWcGh3mabNdDvSGWtuTdz+wDTCFmlHaFUUy7tXW9uZD1eKSVLyu0VeZuCB4vPMku9bNsv1dVLyQlSv05Sp7ZO1yw4fD7praXhLbPBJ727TLprcnjLbanFW8K/rMrSrWaD3W7tw1tuS1iWtP6TcBcqbfxUGn5tmMsFZJYZLFkvVR+RZElJGVKH3lJCitM1c862/SYW1tRJifFS9xypZ27k7HN3Jm8X2W84ttZbS6T+nc3eQG6zbb/92SmtteOgtKhYOqtneMttqY1zJSvMMyQ2fCzl9pa8DPdEmPnqpdKNZq9sn09KTDHtweQ2TtfMOaVHpJU7TUIlPk7qlGWu4XFR8vf531XhnyHx4QppXKGUmhTecluitir8K6XUVUlbF0i9zg5vuS01e410JMwzJD5aJU3sLWXE8D04nGFZZr/UshKpoc7sad2+u5Qew3tal1WZSQhl1aYNmJMhDe5i2obRYFFx+FdKWbRFmtxP6pId3nJbwrKkDWHuB7R80sY50rCrw1tuSy3dJm3dH94yl2+XikulHrnhLdeOKLkEIBDlpdLmz83IA1kmkSjLXEDWJkqdB0vdx0gJyU7XNDx8ljRnnVkH+UCFCZYemc/j7SKT9Dl/oDSgs9M1bZ3Vu6SDDuzLs2qHdKBcyk4Pf9lnMs+hJWbmbXBnMvHgNrOGebgd2Go6sdJceGOF6FRTbuLg7lWmI9VztIPQ8knrPpLy+kk9xkkpmc7WM5yKtprlP3cePC4OysTCnAxpSn9pTM/ITiqWHpHW7Xag3DJpwx6pT8fwl30mod4v+FTmbXBnMrG6zCRWwq2m3KwMkNsr/GUjNjXUmtUhdiyT6o92Fspj4uD62VL7niYOtungdE3DZ1OJ9OFKM6DGo2PxzmdJGcnSxD7SlH4mwRipauulBTaXrgyGugZpQbF0dt/wl30mu1c6s3fTzpVSj/HuG8hd3xD6PcT8abDMsqrnDwx/2YhNlk/avlTatsjc/8ljrvvW0cHOmZ2k7mNNYjFW7DksfbhcWrbdxD7vcXEwKV4aUyhNHejOgSEtZVkOtn/WSzeMcabs09m/Rao65EC5xVLlISk1K/xln4mTfcVuTiZGybi61quoqNB9992n3NxcZWRkaNq0aZo+fboSEhJUXR0Bm5vZdGCbtOBFs6SSjo7Mt3zHptI21ErbFksLX7S/VnIkavBJz8+R3lhsEomS+Sx8VtPHo637pD997P7lWc7EqYBpyZkGyZls3x/+kSaNlm5x55rp24ucK3uHzX0rEVyxFAsrDkhfvCDtWn5sbxzLZx6N/79ntbTgH+5eeiOY3lsmTZ97bIRmUxw8GghLy8yer69+Ef5ZfcE0b4NzZTsVg0+nokZassWZsrftNw+32blMx24Aw2xHkTPlwoilOFhbJS18WdqywCQSJXO9t45bymnfZtMeLHUg8eSEhZul3/1X2nB0qUtLJt41xryyahMr/2+2VGNzXz03WbJVqqpzpux56913D2FZzrVB6qvducT18u2BLX0eDPM2mBnScEYsxUFfg7T832bwTHXZ0Scb4+DR69Th3VLRP6VtS5yqZXhtKpF+/cGxRKLUPA7W1EufrpN+/aHZFz5Sbd1vVklxwuItZjlLt3GyDbLThf2Auw5Km0udKbtoq7nndCuSiZLq6+t18cUX67333tPTTz+tGTNmqLi4WA8++KD69Omj5OTomppXvk8q+pcJnKddh9cyowOWzjDT/KPZjIUmWJ5O40f11hIzHT4S1dQ7Mxuj0fIzfMZOWOHgHlb1PmnNLufK98fXYGZFOKXUwU7+WBdLsbC2Ulrymvnv6eKgZUl11dKS16N/YM2n647tU3OmPr75m0xnaqRy8rq/epcZ7e8ma3fb3wcimFa48N5gr4ODnw5slepd2MEQC2IpDvp8pj1Yvk+nv+gf7VRd/pbpUI1ma3ebvVwbZ+OfzqYS6e9z3b+nzak4ed0tLZNKDjtXvj/l+5yZjdHIiZnwZ+Jku/1QpXOd/LEuluKgJK2Z2YK/v6PX+fWzpD1rQ14lR5Uclv74sdnu6XSDPizLrDr2f7PMTPdI5GQcrGuQ1rvsnqqh3swQdMpeF/YDLnewz6DBklbvdK78M2GZU0nPPvusioqKtG7dOuXl5UmS+vbtq27dumnKlCkO1y74ij8/uoRHSxo/lrm5LlkndYrSpSZKy+zPmPv3UmlYQeTtmbHzgGMD7SVJe4+Y/beSXLSMS7j3SvRX/kgXLZlRvq/5iPRwqz5iRsonsk9G2MVSLNyxTKqpUIvjYF21ma3fy6X7vrZWbb3Z19aOWaulyX0ib0+bihppv4OJ4QaftPuQ1KWdc3U40Q4XxEE3aaiTKhyeLVlWIrXt4mwdYlEsxcF9G6UjNjqyLEvaPE8adk3o6uQkyzIDRlv8fkmrdkpb9pk9hSON09fd7QekjlnO1uF4ZXucLf9IibPl++P4vcF+qauL7pViRSzFwYr9ZnljOzZ8InXofWxrjGgzc6VJdLWkieyzzHKoi7dIYwtDXbPgc0McHFrgbB2OV17qbD9g1SGpvsbsVeoWTsfBHQfcuR2IxMxEWZalX//617r77rubgqUkFRQUKD4+XkOGDJEkrVmzRqNGjVLv3r01ZcoU7d7tsmEELVRTIe1dL3sZJY+0PYqn9H+2wf7eT0eq3D1K4FScDpiWzD5cbmFZzn8mTgeoE5W5oDHrhjrEmliKhT6ftGOp7MXBo8tfRess/aVbzUAPO6yje9pEGjdcc52OOydyuj7bD7hrdk9ZqZwdeSV3dixHu1iKg5LZH0p22j+W2Uun8lBo6uO0rfvNQA87f/pejzTHhUtXn8nhKtOWdZIbYvHxnL7m1pQdHeTmEpW10j6HV+Rw+t4kFsVaHNyxTPbioMzf6v4toaiN88qrzRLYdpah9sisbuOm+/iWcEM/oNPln8gNfXBOx+ITbXd4cKnbviPHi/lk4po1a7Rr1y5dccUVzZ7fvXu36uvrNXToUEnSV7/6VT300ENav369vvSlL+mBBx4If2WDoHRDABd6y+wXFa2Nx0XF9j8Tr8cE2kizr+zM7wm1UhfUoVFNvblpclLpEWfLP1GlC5K9lS4OmtEqlmLh4Z1meVO7GmrNfsPRaPEW221pWZIWRuCS326IQW6ow/GcvjeoqJGqXLSspxviYJUL6hBrYikO1lZKB7fLftLcI+114d5uwbB0q2nf2eGzzJ42DRG2t9s+F7Q99rqgDsdzQz+Hm677Tt8XSO67V4oFsRQHJWn3agUUB6N1qdMVO+zvZ2vJDMRx2zX9TCprnW970A/ozjo0qq03g6+c5OY46LGsSBtDEFwzZ87UBRdcoHXr1ql3795Nz//973/X7bffrr1798rn82nYsGHatctsblZeXq5OnTrpyJHA//oLCgp0+HD4Nwu4duL/09UTvq/4OPvrTD74t/O1fufCENTKWbf9plTeAD6PPevn6oNnLw1BjUJn3E2/Ue/xt/l97eErpJQzfAzJR1+vPsMMlqo66fE3/b/2+Svf07o5fzn9CcIkOSNHN/z81Itzn+kzae3nYVmW6qqO6KX73bO+wZ0XPKmLR3/F72vj75HiE09/fOOyBPU1p39ffa0074/+X/v7f3+sf8//7Rlqal9mZqa2bo3AUQBh4EQsdCoOju33JX3v6ucDOva5d76pj4peCHKNnPelH32utp362T6upuKAXv5BjxDUKHT6T/m6Rl/9M7+vhSsOrvnkT/ritftPf4IwuuHJTUpKy5bHzzINwfpMTvd5SNKrD/ZV1WGH15k76vzh0/SVi5/x+1q44uCsZS/q929//fQnCABx8NRiKQ7mt++jZ776he3j6htq9f7CP+n5//4oBLVy1sRpf1T34VfJG2d/F5iXf9BDNRWRMxKuU78puuAb//L7WrjioNva0Y/f9p76dx3n97VwXfcff/EKLS/++PQnCJPcnmN18Xff9/tauL4jpVsW692nzj39CQJELPQvluKgRx69/lBgmYuiTbP005evCnKNnDdo6nc17JIHA4qD7z99sUo2fhaCWoVGalYnXfez1X5fC8c1zrIsVZfv06sP9DpjXcPl7ot+pakjvuz3tXDFwb9++IDeW/h/Z6hpeCSmZummp7ac8vVQ9xVLUl1NhV78bufTnyBArY2DMT8zsV07sxD7pk3H1uqqqKjQT3/6U3Xs2FE5OTnasWOHunQ5tnFJenq6kpOTtX+/w3NeA9Dgq7c9++DYsdG5vpvlC2w4aUODi4bRt5Dl5CLYTXVocLoKTdzwefh87vk8JMnnhs/EBXWINbEUCxta8TdX74vQHebPwBfg+q2+hgj8PFxwfXFD7DmeG+pjuSgWuuHzcNu9QSyIrTgY+LU7atuDDQ0KdH3jQGOoU1xxjXNRe1Byy2fifB2auKAubroviBWxFActWQHFQsuy1OCLvH7AlrBa0a4jDgZQB5dd49zwmbjq3sAF8+7c9h05XszPTKytrVXv3r2VmpqqJ598UvX19XryySe1detWDRs2TO+9954WL16se++9V198cWwEZ25urtasWdMUcCNFyVppxTsBHOiRJn1NSkwNepUc98Q7UonNwVBejzSul3TNqNDUKVTeWiLNXhP48U9ca/77w9cDP8et46QR3QM/Pphq66UfvBr48cH4PNqmSY9cEfjxwbZprlQ8P/DjJ3/D/PeT3wV+jn4XSJ0HB3487IulWFheKs0PbGKiRt4oZYVmcJijnp8rLdtmf4+M7jnSty4IWbVC4otN0sutuMYF47p//gDpkqGBHx9sP32rdXsjBeMzefJ6Kcn+QOiQ2LNWWhnIvfJRwYiDXUZIfc4J/HjYF0txsL5W+uR/pUD6bKL1Hu0/K6T3l9tPJ6YlST+9WvIzsdu1tuyTnvkw8OODcc0fmC/dNTnw44Ot6A1pXyv2gQ7GdX/UzVJmx8CPD6ZdB6VfvBf48cH4jvTJk74WmomJOIVYioOSNO8vASwv7JG6DI/Oe7Tl26W/fmr/OI+kx66S2qQEvUohU10nPfBa4McH4xqXkyH96PLAjw+2jZ9KWxYEfnww4mD/C6VOAwM/PpjqG6T7Xwl0mFlwviOZKeZvy41ifmZiYmKiZsyYoZSUFF1//fV6/PHH9dBDDykrK6tpTfD8/Hxt37696Zjy8nJVV1dHXLCUpJxCKT7Z3jEej5TbKzoTiZI0IYCZ5T5LGlsY/LqEWscsp2sgdWrrdA2OSYw3QdxJnbKcLf9E6TlO18AddYg1sRQL03OkNnmyvUlgalsps1NIquS4cb0C2yNjfO8zvs113BAH3VCH4zldn/bp7kkkSlJ6e6drIGW4oA6xJpbiYHyi1LG//QSYN17q0Dc0dXLa6J72j/F4pPG9IiuRKEkdM+3vkxxsrmv/OH3N9bigDsfJbSPFOdxT6KY+g1gRS3FQkroMDeAgS+o8KNg1cYcBnc0AGTu8HjM4JJISiZJZgjI7zdk6uC4OuqAPzg11aBQfJ3XIdLYOTrfRTyfmk4mSNHLkSC1evFiVlZVaunSppkyZovXr12vIkCGSpA4dOqiwsFBvvfWWJOkvf/nLSZsSRwpvvJQ/RLZaEJYl5Q8NVY2cN6qHlBDX8vd7PFJBO6lzBN7gdsl2tvyEONM4cROnPxOnyz9Rmw4OV8BljelYEkuxsMtw2R5m1mV45HUYtlRhrhlY0dLfzyMpNVEa0uWMb3WdTlnOd5B1cVl/i9NxKN9lcTAtWwpgK+2gyshztvxYFUtxMH+ozRWcPGa0+Jn2zIlUWanSoC6mY7TFInRwaVKC8+0xp+POido4fM11Q9w5Xnyc8x3dbrs3iBWxFAc7DpC8NvoB5TEr1ERrX0WcV5rQ295gE59ljolETrfH3HaNy3C4H9Djdd/fltP3Kk6XfzokE/1Yvny5fD5f0+gbSXruuef0k5/8RL169dKbb76pn//8585VsJW6nSWltWt5p2HnIVLbCOwwbKnkBOmGMS17r8cjJca1/P1u06GNs6P/u2Q734l7oq4OB6yuLutUTs6UEhwcWZaR467GdCyL5liY11dq31Mtay15pLZdo3NZt0Yej3TzOCnO0/IG5C3jTGdTpHG6gyw10czEcxOn42CByxqOHq+zDeq4BNOxDOdFcxxs00HqNrpl7/V4pJRMqef40NbJaVeOkFKTWp5QvGKE2a4gEjl93Xdb+8fpZGIblyxvejyn/40KXPYdiVXRHAcTks3S3S3iMfdnLX5/hJrSz8wKbmkcHNNT6h2hA+Ccvsa4rf2T2laKtzkzNZgyOthM7oeB43HQZd+R47msW98dioqKlJqaql69jq1/OWDAAC1atEgbNmzQ7Nmz1alT5K51Fp8ojbhWSs89+oSfQNGYaMwfKvU9N3pnYzQa0U26aaz5PU/1u3okpSRIXz/P3dONT8frdXa/wlE9nCv7VIYX2ByFHERtUqQ+Lms8ejxm6SundBzgXNloLppjoccrDbrULP0t+b/uNz7XrkAacoX7bm6DrVt76StTzPLPp7okejxmQMgdk6T+Ebx3pJOxaFQP991T9erg3PJEXo+Jw27jZCzK6xf915tIEc1xUJJ6TpQKjiYU/V6Xjj6Xmi2NuN7ZwWbh0DZN+tb5Zo+aU2lsM1w+TJocwUu+jnKwPdgnT8p02fYpyRlm4JhTOrmw/ePkvVL3HKm9w1uRwIj2ONhxgNRvqky8O839eUKyiYNpUZ7kTkqQvjbl2Kw5fx9JYxwcWyhdO9p97ZqWGt7NuX7AtqlmZSA3cbwf0MGyT2VYgXOTYdKTpL4u6ys+HslEP7761a+qoqJCXm/0fjyJadKoG6WBl5w8Es/jkXJ7m2DZ51zT6RoLRveQHrxUmtzn5Nl7bVOly4aZDXKdHp3QWoHsERkMyQkmYLtNmxRpiEONx7GF7pupKTm3rLE3nmSim0R7LIxLkAZfLg29SsrudvLrWV2kwVeY16N1WbcT9epg4txFg6WME/ZXTk2Uzu0v/egyaXCEr1Ywqru95c2DaZxDMfh04rzO1WtwF/d1Kktm9rJTo3OjeWuBSBPtcdDjkXpNkkbdLHXod3KbLyNH6n+hNPoWk2yJBbltpP93qXTNqJOXAk2IM7MwfnCxNMWFnV529Org3FKnbt1v2alrb1o7KSvfmbJPp6CdlO/Qti5O9VfgZNEeByWzB+LYO6Quw05eISm5jdTrbGncnS7YDiZM0pPNwJrbxp88M8rjMffuXz9Pum60O/uyWior1ez36IRxvcxED7dxKg7GJbgzmZieLA1zsK/YzatAObjgIZzmjTejn/P6SdVHpM//Zp6fcE/0jzw9lZw2Zsmai4dID/1TkiV97yLzvFOjVoKtU1upsIO0sSS85Y7p6ewSq6czqY+0dGt4y4z3unefldS2Urvu0v7i8JbbcYAZ9QeEi8cjte9hHjUV0md/Ns+P+7KU5LKlKMOlTYp0wSDp3AFSaZn06/cleaTHr3L3Da0dKYnSWT2kuRvCW27fjma5cTcaWyj9d6VU7wtvuRP7hLe8lopLMEsbb10Y3nKz8qUMl41URvTL7GgefaZIc/9gnhtzu5SS5Wi1HJOcYPaAGt9L2lcuPfWumuJgcpQsxe/xmPbPjDBf47LTpAEuXdkgp6dJHFQfCW+5bt2T2+MxMfrl+eEt18mBvohdadkmBhZOlD79vXlu9K2mX8SNf5+hFh9nJgIM7yYdrJCeeFuSR3rkCinNwaUwg21SH2n59vCW2TgwyY3S2knZBdKBMPeNdhro7BKrpzOxj7RoS3jLdHKgb0u5MBcOJyS3MaNRPd7YTSQeLzHeJA+9XqlDZvQkEhtdM8oks8IlK1W60MX7jXXPCX9Av3iI+Vzcqs+5ZsBBuCSmSoUTwlcecKKktGNxMFYTiceL80p5mSYOej3Rk0hsdPGQ8C7tmRAnXT0qfOXZlZkiXTI0vGWO7iH1dHHirPtYc38cLh6v2VoAcEpC8rE4GKuJxON5PFJOxrE4GC2JxEZjC8O/4s71Z7l3Jos3Tup3fnjLzOxoZkW51SgH4vR1o6PvnhORIy7hWBxMy47NROKJ2qYdi4PRlEiUzCSLcC/7felQKcPFfe59zg3vdguJaVIPF+/JXdA+/Im9Cwe5f09ul97KAQilvEyzjJ1dVXXmYdcNY9zfAP/ScPtLrQX6eRS0l852+T4rqVlm6Su76mvNw66+FzCQAUD4pCaZDiu7Ar3uXzrUdEq72eQ+UvcANnoP5DPJTDErQbhZfKJZ4tGuQONgj3FSeo794wAgEHFe6aax9geYBhoHxxa6b6/4E7XrLnUKILkXyHXfE2dijJu3lPF6pBvH2F8aPtDvyIhuzi07CCA2XTnC/gDTQK9xPXLcuypLo7Rss6e2XYG2f/pPdf/qZJcPs5/cC/Q70iU7MpbSd+migwBC7ex+0voSad3ulh/z+Jv2y5nSz90bxzZKSZRuHSc9N0tqaOEyb4F8HmlJ0i1j3blG+onyh0n7t0r7NrX8mHl/DKCcoVKuS5d8BRC9BuabBt2cdS0/JpDr/oDO7m84SiYu3TxOevpDqaKm5cfZ/UzivNIt48w+nG6X3VXqNlrasqDlxwQSB7O7SgUBJLcBoDXyMk1H6us2ljsNJA52zDIDNyNB77Olw7ukiv0tPyaQ637fc82Scm7XPkO6drT00uctPyaQ70huG+mqkfaPA4DWSE0y7ZI/zJIarJYdE8g1Lj3JDOCJhFXvug43S53a2fYokDjYZYTZbsbtkhNMX/HvP2r5liCBfEdSE8130a0rOBwvAqoIIBTivNKdk8zomFAZWyhdNix05w+2wg7SHROluBAF+JRE6avnmD04I4HHIw26zKybHip5/c3+BADghCtHmGW8QqVXB+n2CZHRcJRMp+HXpoQu0RfnMZ9Hr7zQnD8Uek6UOg8J3fkzO0uDr4iMQUYAos/43mb2fKjktjFxxe2r1DSKT5KGXyultA1dGYWTzL68kWJ0D3O/FCrZaeY7Em1LKAKIDL3zpNtC2F5LTZS+dq5pZ0UCj1cafLnUtkvoyug40AzeiRQ9ck3/eagSfckJ0lfOMdusRQKarUAMS4qXvjolNMuJnNvfLCEXaevMD8yX7j5HSglyg7dtqvSt86UuETAC9Xhx8dKQK6UOIZhV02W4NOAidy/vAyC6NS7hNTkES08P6Srdc47ZhzmS5GdL3zw/+Hs1JCdId50tDQ5hwzQUPB6p73lSt7OCf+72PaXhV5slVQHAKecNkK4eGfyO1IJ2Jp6Ec4/iYEhKl0beILUJ8sAXj/doPInAmeiT+5qtS4LdkZrfVrrvAvfvDwUgug3pKt01WUoKcj9gdpr0rQukziEcoBIKcQnS0KuknBDsF9h1pFneNNL6ivt3Ngm/lCC32zJTzb1SQQDbjTglwro3AARbYrz05UnSgs3SG4ul6gDWdT5edprpmI2kWQcn6ttReuBS6bUF0qqdrT/fuELp8uGRMyL3RHHx0sBLpZxCae1HUn11686XlG5uHtqFebNrAPDH6zEj7vt1kl6ZLx2qbN35UhJNp+yIbpHXSGrUMUv6f5dIby+V5m1o/fn6d5KuO0vKsrk3sVt4PFLhRDNTf82HUtXh1p0vLlHqfY7UaWDkfkcARJeJfczI+5c/l3YcbN254rzSRYOlc/pFxnJd/iSlSSNvlLYulDZ/JlktXNrsVDI6SAMujOy9ccf0lLq1N0uebrOxDKw/Xo90wUCTyI63uScjAIRC/87SDy+VXv1CWrOr9eeb0Fu6bGjwE5ThEpdgZijuWS2tmyXV29gGw5/kDKnfhVK7EK58Fmq988x35LUF0sodrT/fmJ5mGfhgJyhDjWQiAHk80lk9pT4dpQ+WS4u3SHUN9s6RlmSWNT1/QOQGy+NlppqRSUu2Sh+tlnYF0Kgu7GAaSb0jOLHayOOR8vpJbbuaBvXu1ZLPZuI5Psks6dN9jPl/AHCTxoEk/1kpzd8oVdrcRD4hThrZXbpwsJQZYbMw/ElOMPskDe1qPpMNJfbP0SnLrFQwvFt0JM2yu0pjbpeKF0g7l0l1VfaO98ZJHfpJPcdJyRGy5DmA2NG5rfSdC6VP10mfrpUO2hxc4/VIg7pIFw4yg1IinTfOtFtyepr2z96Nklq4p1aj5DZmNZYuw8z5Il1epplJOHe99Mla6UCFveM9MisBXTg48mbqAIh+WanSPWebPtGPVku7D9k/R+886fyBZruLSOfxSB0HmAGVTf2A9fbOEZ98XD9ghCXN/GmTYibkFG2TPloV2ACsnrnmO9K3Y/DrFw4kEwE0yUo1y5dcPkxaUCwt2ybtOHDqxGJqotS1nek8Hdo1+kYVejxmZsnwAmnLPumzjdLmvdL+8lO8X2aN61550vheprEVbZLSpH7nS70mSbtXSSXrpbISqeEUicX4JLNEUF4/s1RqXBQkmgFEr+QEEwMvHGQaCIuLzej7qlNc4xLjzRJdQwukUd0jb1RhS/TKM489h6XPNkjr90glh0/dn9ou3cxuGVdoZjBEQxLxeHGJUuEEqccYae8GEwsP7zn1rH1vvJSRK+X2ljoNkBKiINEMIHrFec2Mwsl9pNW7zOo1W/ZJR04xeCLOawaO9O9srvuZEToD/XTSc6TBX5Kqy6Sdy6V9m6Xy0lPPVkxMkzI7mdnn7btH35YOcV6z7OnEPtLaXdIXm6UtpdLh03xHOmZJ/TpK43qxpCkAd/N4TB/niG5Scan0+UZpc+mZ+wF7H+0HjJR97+xISpf6XWD2/N29Wtq7Tirbe4Z+wI7H9QNGWfbJ45GGFZh+8K37TRt5815p32m+I7ltjvUVR/qAqyj75wQQDKlJ0tl9zcPnk0qOSHuPSP/4zLx++wRz8ctOi75OQn88Hql7jnlIUmWNGX3yp4/NzzeNNbNQOmebfShjQXzS0VG2w01DuvKgVHFAWvmueX3gpVJ6eyklMza+IwCiS2K8NLqHeViWaTzuOSw9P9e8fss401DMzZC8UdZJeCp5mdJVI83/19RLOw+YjsOXPjfP3X22mWWQFiMzz73xpoGc1898R6qPSOX7pBVvm9cHXiylZktp2dHXkQwg+nm9ZgbZwHzz8+FKaedB6W9zzM83jzODRzpmRt+A0lNJzpB6jjcPX4O55lcdkla9b14ffLkZPJKU7mg1w8brMUnk/p3Nz0eqzHfkr5+an28eK2Wnm2RzrHxHAEQPj8cMkOyRa36uqDHXuMZ+wJvHmgE0ndrGTj9gQrLUdbh5WD7TB1h5QFr5nnl90KVSWgz1A3o8ZvBst6P7HVbWmjbyHz82Pzf1FbeNjhX8GsXI1x1AoLxHRxJ2zJJenm+ea2xUxqrUJDPqqHEPkGERvOZ3MHi8Ulo782hcvie30Nk6AUCweDxS+wzzaLzuD+nqbJ2clhR/rGH96hfmv9GwpHegPB7TaE7JPC4O9na2TgAQTJmp5tEYB4fGeBz0xkltOpjHmv+Y59r3cLZOTmuTYh5N35EYbyMDiC5pJ/QDxvo1zuM1EwjS20veD81zOTHeD5iaaGYfRntfMeNkAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhEAAAAAAAAAAACAXyQTAQAAAAAAAAAAAPhFMhHwo6pW8lnmcaBcqmtwukYAAIRPbb20v/xYLKyuc7pGAACET32DdLDiWBysrHG6RgAAhI/PJx2qPBYHy6oly3K6VgCcFu90BQA3qKyRFm+RNu2VdhyQ9pUfe+3xtySvR8rLkrpkS33ypMFdpPg4p2oLAEBw1dZLRdukDSXSjv3SnsPS8W3FH74m5bQxcbBHrjSim5Sc4FRtAQAILp9PWr1LWr1T2n5A2nVIavAde/3BGVLbVKlLO6lbe2lkd6lNimPVBQAgqCxL2lwqLd8ubd8v7Two1dQfe/3H/5TSk017sGs7aWQ30z4EEFtIJiKm7ToofbJOWlws1ftO/T6fZd6766D0xSYpPUkaWyhN6iNl0IgEAESogxXSp+uk+ZvMrPxTsSTtPWIei7dIby2RRnWXJveVcmlEAgAiVGWtNG+99NkG6WDl6d97sNI8lm+X3imShnQ1cbBb+7BUFQCAoKtvMP2cczdIuw+d/r3l1dKaXebx4QqpT0dpUm+pf2fJ4wlLdQE4jGQiYlJ9g/SfldLMVYFN0y+vMcfO3SBdPdLM0CBwAgAihWVJn200ScHa+jO//0S19dK8DSYJedFg6Zx+UhyL5wMAIsjqndIrX0hHquwf67OkpVvNY2Jv6dKhUhIz9gEAEWT7Aemlz8+cRDyVdbvNY2C+dN1oZuwDsYBkImJOyRFp+pzAg+Xxqmqlf3wmLdsm3TyOJd8AAO5XXi39fZ60fk/rz9XgM7Mzlm+Xpk2QstNbf04AAEKpvkF6faGZiREMc9ZLq3ZK0yaapd8AAHAzyzITLD5YEZx9EFfuMNtG3TjGbAsFIHoxhhwxZccB6Tf/CU4i8Xgrdkj/+1+poia45wUAIJgOV0q/nRmcROLxtu2Xnp1plkEFAMCtauulP34cvERiowMV0u/+a/YeBgDArXyW9PoC6f3lwUkkNqqqlf72afDjKwB3IZmImFFyRHpuVugSftsPSH+YLVXXheb8AAC0RkWN9PtZJh6GwuFK6fcfmX0YAQBwm/oG6a+fBn9ATaPaeulPs6Ut+0JzfgAAWsOypDcWm+0uQnJ+SS/Pl5ZsCc35ATiPZCJiQn2DWdrUTiLx4SvMw45t+83+UwAAuIllSa9+IZUctnec3Vh4qFJ6YZ4Z8QoAgJv8Z6W0dre9Y+zGwdqj7c6qWnvlAAAQaku3SnPW2TsmkL7Rl+dLpaxYA0QlkomICf9ZaX9p05QE87Dr8432G6kAAITS0q1mX0O7AomFm0ulT202UgEACKXtB6SZq+wfF0gcPFTJAFMAgLuUVUkzFto/LpA4WNdgEooMMAWiD8lENLGs4K6X7Ra7DwXWcGyNV+abZW6iTbR+RxA8fEcQyaL1+1tZE1jDsTXeLZIOlIe3TDgjGv9mWiNaryOIDdH6/fVZplMznL/b/E3ShhAtp+qkaP2OtAafBxBdovVv+l+LpcowzprfXCp9tiF85cE53BucLJo/j3inKwBnVRyQdi6Tdq+WGo4GlXl/kfKHSJ0GSgnJztYvGD5ZG/4/4kOVUtE2aXSP8JYbCvvKzA3Ags1SzdEE6U/eksb3Mr9fehR8R9A6VYelnculXSuPXUfm/lHqPFjqPEhKTHO2fsDp1JRLO1eY73Dj9/fT58x3t/NgKbmNs/ULhgWbw9twlMxo1LkbpMuHhbdchJ5lSRtLpDnrpbW7zJJ+kvTbmdLEPtKgfCkuxoYr1lZJu1dKO5Ydu4588r9SpwFS56FSapaTtQNOr77GtAV3FB37/n78Oymvr5Q/VEpv72TtgmP9HmnXwfCXO3uN1Csv/OUGW02dtGiLNHf9sfbgA69JwwqkCb2lzm0drZ4jyvaav5mSdcf+buZPl/KHSXn9pPhEJ2sHwA5fvbR3g7R9qYmJkjT7Wal9T6nLUCmzs+TxOFrFVttfblaqCbfZa6RxvSRvhH9+OFnVIWnHctMGauoH/JOUP1jqNEhKTHW0emHX4JNW7TTLCFfXmefuf0Xq01Ga2NvcD0bL3wHJxBjla5DWfiTtWi7JI7NL7lFVB6UNH0ub5kh9zzdJxUhVWSst3uJM2fPWR3Yy0eeT3lxilqrzeJonZPeXS28vld5dJl010iQWEXssS9o4R9q6QCddR6qPSJvmSpvnSb3OlrqOcKiSwClYlrR1ofkOmyeOvVZbIRV/IRXPl7qPkXqMj9wGpM+S5jk0InT+RumiwVJCnDPlI/gOV0l/+ljaccA0ho5fumhzqbRpr5SZIt1zTux0Lu9cLq39r2T5mj9fVyVtXSxtXWQSMr2nSN4YS7LC/UrWSaveNx2px6uvNsnxHUUmqdjvQikugnsO5q53ptzVu0y7qV26M+UHw6od0t/nmSTi8bdC1XXSF5vMFh+Du0i3jJMSI/g70lINtdLK96TSjSe3kcv3SWtnmr6UQZdJ7SO4LwCIFYd3S8vekGor1ewi11An7V0nlayVMjtJQ66I7OTI5xudKXd/ubRut9SvkzPlI/gsS9rwibRtkU7uBzxs+lc2zZN6nyN1iZGBxbsPSX/8WDpY0TxhWNcgrd4prdwhdcoybeSsCL6ONKJJe5yKigrdd999ys3NVUZGhqZNm6bp06crISFB1dXVTlcvaCxLWvnu0USi1OwP/3i+Bmn1B6aTJFIt2WL+eJ2wdb8zI2CDwbKkl+Yf2/PK38xOS2bkxesLzOxPxBbLMp2nWxc0PnHq962fbRIzcL9YiYOStPkzaeOnMt9df9/fo88Vz5fWfxy+egXbpr1SaZkzZVfWSisC2KcR7lRWLT3z4bF7mxP3QGm8Vyirlp79T+TeA9mxfYm05j8nJxKbHP1MdhRJq9+P7uVuokUsxcE9a6UVb5+cSGxiHXvf8jfNQMNIdKTKJMSc8sUm58purRXbpT9/cmw24omXsMY4sGK79IfZUr1D7e5w8dVLS/8plR79Nz3VNb2hTip649j7gEgSS3Hw8G5p8StmhQlJJ13kGv/GD++WFr0s1UXor++zzCBPpziVyETwWZZp+2xb1PjEKd7nk9Z9ZAZvR7s9h03b93Cl+fnENnLjz3sOS09/YAbnRjqSiUfV19fr4osv1nvvvaenn35aM2bMUHFxsR588EH16dNHycnRs5bjjiJpr43RmWtmShX7Q1adkCouje3yA7Vgs7SouOXvf2OxmaWA2FGyziyR3FKb5kiHdoauPmi9WIqDB7ZJxZ+3/P3bF0t7I7QR5HQccrp8BM8r800j6cQG0ol8lulQ/tMnkZt8aImyvdK6WS1//5410q4VoasPWi+W4mD1EWnVey1///4txw0gizBb9p2yryssIjUOllVJz89t2WdnSdq8V/owyq9xmz8/2p5p4Yey4t9HZzsBESKW4qCv3sxI9Pl05r9pS6o8ZAZTR6J9ZVJ5jXPlF5cyoC5a2G3PbPjEJOOjlc+S/vKJVFvfsjZyWbX04mfhqVsoxcBCFC3z7LPPqqioSOvWrVNentnYoG/fvurWrZumTJnicO2Cx7KOG0Fgw44iqc+5Qa9OyG1zOAm6PQITbJYlfbzmpNnqp+X1mL2TbhwTyprBTbYtlq0vicdjZnBkdQ5lrdAasRIHJfvfX3lM7MwtDGGlQmS7w3FwWwTGQZxsX5nZA6KlfJZZ5mXNLmlAfujq5aQdRScvcXcm2xabPUQiddnkaBdLcXDHcvsde9uXSAWjI2+5Xqfj4PYD5rOOtL/7+ZvMKjQtZcksJzt1kBQfhcubN9SZ/dTs8DWYTtduZ4WmTkCwxVIc3LvBZrLfMgOqe58jJaWFrFoh4XS/ZFm1mY0VDcs7xjp/S5uejsdjYmdmx1DWyjkb9thbBcpnmX28Sw5LHTJDV69Qi7CmQGhYlqVf//rXuvvuu5sCpiQVFBQoPj5eQ4YMkSR95StfUefOneWJtJbAcQ5uk6oO2zzIknatlOprQ1KlkKmpc25pt0aROFtvyz5p92F7I3h9lrS4WKp0cLQTwqdsr3Rkt2x9SSzLzIiuqQhZtdAKsRQHq49I+zbJ3kXOkg7tiMxZ+jscXmpy58Ezj9KD+3220X5HeONAo2hUXyPtXmU/GVOxXzq8KzR1QuvEUhz0NUg7i2R7ul5t5dH4GWF2OhwHq+vMnlGRxOcz12+74buqTiraFpIqOa5kvdkv0a7tS5mRg8gQS3FQMgNkFMCvEInbQO10Qb9kJPaNorkje0xfoN1+wJK10TtLf8765nsktoTXI83bEJr6hAszEyWtWbNGu3bt0hVXXNHs+d27d6u+vl5Dhw6VJN188816/PHHmwXWQBUUFOjwYbtZvda7Yux9uvGchxXntTdcsKFOGjlooraURM7aJalZnXXdz1b5fe3hK6SUhNMfn3z09SeuPf37quqkx9/0/9rajduUlTX49Cdwmb6T79FZ1/5cHo+9sQb1PmnImAtUWhyhayAF4KantkqSsrIKHK5JeE0ZeqvuvfS3to+zLOn8CVdoefHHwa9UC2RmZmrr1q2OlO12sRQHR/S6UD+8/pWAjr3hS3drzsrXg1yj0Lr5V9uVkJzh97VgxcLTxcH6Bim3QyfVR0kLIlav+1Pve1sde0+0dYzPkpZtPKisq7qHqFbO6dV5pJ64w/5aVz7Lp3unPaj3Fv5fCGp1ZsTBU4ulOJibVaDff8PGWvVH1TfU6ZH7n9XLH/80BLUKnUu+P1M53Uf5fS1cbcIxE6Zo39Ylpz+Bi6S0ydX1T9gfDdJQX6sf/vTPWvjPB0NQK2fdecGTumDEnYqPO8MX5gQ15VJB5546UhmBI9IC5PZ7JWKhf7EUByXp5QdKlBCfZOsYn8+nV/76vn5x0c0hqlVojLv5t+o97la/r4UrDk67615tnP/S6U8QIdx+jQuVC4bfoXsuftr2cZZPOnvMJVq9bV4IauWs659Yp5Q2HWwd47OkGR8s1J3nnR+iWp1Za+MgyURJO3eadZtyc3ObPT9z5kxJagqakyZNCmu9QiExIVWW5ZNkf+2RpITImpPujXP2621Zlrw2GxtuEJ+YIsvy2U4mSlJ8UmR9RxCYpPjAvyNJCRG2JkiMiKU4mJSQ0opjI+8a54Y45IY6oHUSAlzPKS4x8L83Nwv0WmBZPiUnRt51JBbEVhwM9DtoReR9nMcFMcgbn+h0FWyJa8W9UnyUXuOSWvF7mb+b2EkmIjLFUhz0ery2E4mNxyUnRl4cdENbzA11QOskJqTK52uQ1+bkJCky+1FaItD7pUDb1m7hsSwWXViyZIlGjBih9957TxdddJEkqaKiQsOGDVN5ebl27Wq+HpHH41GkfmxbF0kbPg7s2DHTpPT2waxNaB2qlB59I/DjG0fd/LAVk1DapUs//lLgxzth3nrp9YWBHfvdC6Wu7YJbHzd74DXz359f52w9wm3XKmn1+4EdO/w6KbtrcOuD1oulOLivWCr6Z2DHDrpU6tA3uPUJtQdeM0usBSoYsfAX10uJUTJ8LVav+899JK3bY/+49CTpp9cEvz5OO7JHWvCPwI7tc67UZVhw64PWi6U4WH1EmvvHAA70SN3HSD3HB71KIfXMh2Ybh0AFIw5GWhupokb60Qz7x3k90tl9pcuHB79OTls/++iSpTb2kWw0+RtSQnLw6+RWsXqvFOliKQ5K0qxnJF+9zYM8Um4vafDloahR6Lwy3+yDG6hgxMGbxkqjewR+vJvE6jVu5wppzYeBHTvyRimrc3Dr4waPvmFyD3b1yJW+5dzExFaLkq6d1hk4cKAKCgr0ve99T/X19aqvr9eTTz6psrIyDRsWXa399t0DSyYmZUhp2UGvTkilJ0lxXnsbxwdbJG4w3LdTYMelJ0md2wa3LnCndgWytelyo7jE6N14OdLFUhzM6ix54+03Hj1eqW0EJsKzUqU9zqweJElKS5IS7A9ehMsMyLefTPR6pEFdQlMfp6XnSgmpUl0Ajcd20bfqa1SIpTjY2K6rsLt/kSW1j8COQDe0x9q6oA52pCVJXbLNHld2bvd9ltQ/CjsLJal9T2nbYpsHeaQ2ebGVSETkiqU4KEk5Pc1eqLYucpEaB10wCSrS4iBO1q6bAuoHTEiWbK4EGjEG5Zv9D302PhOPpIERfq9kf426KJSYmKgZM2YoJSVF119/vR5//HE99NBDysrKaprKHy3S2klZ+bK90XCXoaYjNZLEx0mdspytQ36EJWAlM5uyXyd7m8h6JI3vbZK3iH5J6WZEnq3riEfKHyyxuoU7xVIcjE+UOg2Ure+vx2NmJEbiyl1dHI5D+dnm80NkG9VdircZ432WNL5XaOrjNK/X3BvbjYPtukmpWSGpElopluKgxyN1sTtzzCOl50TmoDCn42BmipQRgSs+T+xju79QORlSz9wzvy8Ste0ipWTZPMhiJjoiRyzFQUnKH6qABkd36BOK2oRWFxcM+o/EvlE0l5xxNJlus/3TeYgZzB2NxvWyl0iUTF/7WT1DU59widJ/TvtGjhypxYuPDTWrrKzU+vXrNWTIEAdrFRrdx0hLW7psiUdKSJI6DQpplUKmS7a03e6o2yCXH4nOGyCt3XXm90kmjiQlSOMKQ1oluEzBKKl0Qwvvvz1SXLyUT2Pa1WIpDnYZLu1aaWN2okcqGBnSKoVMfra0sNi58iM1DqK5lERpUl9p1uqWvd/jkXp3iO6Og86DzSyV+lq1LBhaUrezQl0rtEYsxcG8/tLmz83s2hatUmdJ3ceGvFoh0cXh5UWdLj9QQ7tK7y+XDle2vKNs6qDoHUDk8Zi/gRZv9eAxHa+5vUNaLSCoYikOZuWbATKH96jFScWCUZE5ODrf4TjUPsO0JRD5up0l7dvcwjd7zN9LfvRdPpp0zDKzDFftauH9tEwCMs3+lq2uwjyiU1i+fLl8Pl+zETjTpk1Tfn6+JCk/P1+33nqrQ7VrnXbdpD5TWvDGowmAoVdH5mwMSerj4OhZr0fqFaFTuXvmSte3oMPL4zEzQO85W8qM0O8IApPZURpwsc48KsljZjUPuUJKyQxDxRA00RwH07LNXhcer1r0HR54iZQRoSPtnYyDktQnz9nyETyXDDFLuZyJxyPlZUq3Twx9nZyUlC4NvUryxqlFI3T7XWBmtiByRHMcjE+Uhl9jZlm05Pvbc6LUIUKTIgXtpCQHh1BHahxMjJfunSKlJrZsxZoLBkojo3wZ504DWjYoxOORElOk4dea/hQgUkVzHPR4pCFXHp1x3IJrXF4/MzEjEmWmSB0d7IuJ1DiIk2V1kvpf2II3esxKLkOvlJLbhLxajrplvNnyqyVjqfp1kq4YEfIqhRy3NqdQVFSk1NRU9ep1bH2m6dOnO1ehIOsy3CQI138i1ZSZQNqYRW/8/8yOpuMjvb2zdW2NgflSmxTpSFX4yx6UH9kJtjGFZrTEG4ulAxWmEdk4KrXx/7tkS9eNju6ZBzi1vH5SfLK07iOp6pD/60hGjtT3/MhcFivWRXscbN9DGnG9tHamVL7P//c3ta3U9zwpu8DZurZGXqZU2EHaWBL+snPbmLIRHeK80h0TzUyVT9ZJtfXNt83wyPztjOgmXT1KSo7Akdt2ZXWWRt0krfmPdGRP8+tI44eT3Ebqfc7R5cERUaI9DqbnSKNvldZ8KB3crpP/oC0pMU0qnHh0efAIlZQgjeohzV0f/rIT4yM7wZbTRvreRdIrX0jrdvu/V0pPki4aEr3LWp+ocKKZcbhpnlRXJb9/N9kFph8l2jtQEf2iPQ4mpkqjbzbtwZLGGHHC33NcopmR2H1MZM+8Ht9bmrHQobJjJD7Eik4DpMRkad0sqerwKfoBc6V+55t9g6NdcoL0zfOlfy2SFm42v/8JlxElxEkTe0uXDI2O7cE8ltXSiZiIRpYl7S+W9qyV9qwxz3UZJnUeZBqY0eCD5dIHK+wf98S15r8/fD2wcu89V+odBRdOnyVt2CMtKpYOV5lEYvsMaUxPkogPvGb++/PrnK2H0yzLdELtXiXtProEXufBpuOJJCLczrKkI7vNsqc7j8aKTgOkjgPM8jeR3GhsVLRVmj43sGNbEwuvGilNisB9RU6H675RUyct3iKt3S1V1ZrO+oJ2ZiBSRrLTtXNG2V5p53JpxzLzc8d+ZinJ7ILouI4gulXsN9/fbUvMzx36mL2C2/cwI8sj3e5D0pPvBnZsa+LguELpuihZ3ri0TPp8g7TnsFTXIKUnS0O6mgG00dAxZpevQSrdKO1dfywJUTDS7A0V63vjcq+ESFRTbuJg8XzTPswtNDGwQ9/IXNr0RNV10sP/MoMB7WpNHOyRI33rAvvHuRnXOMOypIPbTB9gYz9g/mCzTVosJBH9Ka+WvtgkFe8z7eWURJMXGNk9ugbaMjMxxnk8JkC27yHt22Sea9ESqBFkQm9pznqpoiZ8ZfbMjdwlTk/k9Zhl8pxeKg/u5fFI2V3No3Sjea7f+c7WCWgpj0fK7GQeJevMcy1auiOCDOoidWor7ToYvjLbpkqje4SvPIRXUoLZ72EcI42bZOSamcyNg/MGXOxsfQA70tqZGbS7VpqfB13qbH2CrWOW2QOwaFv4ykyIk6b0D195oZaTIV0+3OlauIc37mjSvY+0/7fmuV6Tna0TgMAlpUs9xpn9sCVp8JecrU+wJSdI5/STPgxgokVrXDg4vOUhfDweM2gyu+BYP2DfGO8HTE+Wzh3gdC1CLwbHkCHWpCdL146yf1xVnXnYlRAn3RjhSyAAAKJHnFe6aUzL9jw6UaCx8IYx0TX6DgAQ2a4eZbZwsCvQOHjpULOaCwAAbnD+ADPA1K5A4+C4wuhYrQ1Ac8xMREwYWiAN3WZvNOrjbwZW1mXDaDgCANwlP1u6YKD9Zb8DiYXjejGbHQDgLhnJ0rWjpelz7B0XSBzsmStNjLJlvgEAkS0+zgwwffoDqcHGhmeBxMG2acxmB6IVMxMRM24cIxW0D20ZE3qZTVUBAHCbCwZJwwtCW0afjtJVI0JbBgAAgRjaVbooxEuu5baR7pgY2GoAAACEUn62dOt4KZQhKjVR+so5rFIDRCuSiYgZSQkmoHXPCc35J/SSrhrF8qYAAHfyeqSbx0kjuoXm/H07Sl+eZEa9AgDgRhcMDN0eTh0zpa+fZ7bZAADAjYYWSLeMD82gl/QkEwfzMoN/bgDuwDKniCmpidLXpkj/XirNXR+ccybESZcPkyb0JpEIAHC3OK9JKHbMkt5fLjX4Wn9Oj6Rz+ksXDyaRCABwN49HunCQlJMuzVgkVdUG57wjuklXj5RSA9iXEQCAcBrRTcpMkV76XDpQEZxz9syVbhortUsPzvkAuBPJRMScxHjpmlHSkC7Sy/NbFzh75prlU9kjEQAQKbwe6bwB0oDOJg5u2x/4uXLbmEZjtxAvIw4AQDCN6C4V5kmvL5BW7gj8PI17MQ7uEry6AQAQaoUdpP93ifR2UesmWzROsBjfmyW+gVhAMhExq1ee9OBl0rLt0rz10ubSlh3n9ZjG4vjeUmEusxEBAJGpY5b07anSut2mAblqZ8uP7Z0nje8lDcw3sx0BAIg0mSlmee5t+6W5G6SlW6T6Fs7Yz29r2oPDu0lJ9KoAACJQUoKZbDGpjzRvg7Rgk1RV17Jjs9PMCm2je7C8NxBLuO1FTIuPM9P7R3ST9hyWikul7QekHQekyhrTmEyIk7JSzUbF+dlm9E5mitM1BwCg9bweqV8n8zhYIW3aa+Lg9v3SkWqpvkGK95oGYn621CVb6pEr5TAjHwAQBTweqaC9eVwxXNpYcjQOHpAOlEt1DWbQTEqiSSDmZ5vZ+J3bMqgUABAdcttIV46QLhkibSg51i+694hUV2/iXVKC1CnLxMGu7aTuOcxEBGIRyUTgqLxM8xjrdEUAAHBA2zRpZHfzAAAg1qQlSUO6mgcAALEmMd5shTGgs9M1AeBWLEwFAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8IpkIAAAAAAAAAAAAwC+SiQAAAAAAAAAAAAD8ine6AnBOfa1UViIdKZEqD0oNdeb5dbOk9BypTQcprZ3kjXO2ngAAhEJDvVReamJh+b5jcXDtf6W0bCkjT8rIkeISnK0nAACh4PNJlftNe7Cs9FgcXDNTSs2SMjqYNmF8kqPVBAAgJCxLqjp0NA6WHBcH/yMlZZgYmNFBSkpztJoA4BokE2OMzyft2yTtKJIObPX/nu1Ljv2/N17K6yflDzVBFACASGZZ0qEdJg7u3SBZvpPfs6PouB88Uk6hiYPZXSWPJzz1BAAgVMpLTazbvUZqqD359Z3Lmv+clS91GWbiIQNNAQCRrvqItGOZtGuFVFt58us7lzf/OT3HtAfz+knxiWGpIgC4EsnEGGFZUsk6acMnUk1Zy4/z1ZvgumuFlNlZ6nuemaUBAECkObhDWvdfMwuxxSypdIN5pGZLfaZI7bqFqoYAAIROxQEz+/7gNnvHHdphHolpUuFEqeMABtcAACJPTYW0frbpH5XV8uPKS6W1M02fasEoqdtoBtcAiE0kE2NAbYW05r+mI7Q1Du+UFrwgdR9L4AQARI6GOmnjnOYz7wNReUBaOkPqPFjqNZll3wAAkcHySdsWS5vmSr6GwM9TWyGt/sB0wva7QErOCF4dAQAIlcYJFuv+K9VVB36ehlpp8zypdKPU/0ImWwCIPV6nK4DQKi+V5v+99YnERpbPBM6lM8yeiwAAuFlNhbTwpdYnEo+3c7m04B9meRwAANysoU5a9qaZTdGaROLx9hdLXzwvHd4dnPMBABAqliWtnyWtfKd1icTjlZWYyRYl64NzPgCIFCQTo1h5qbToVTOCNNgObpeWvk5CEQDgXjUV0uJXTDwMtsqD0sKXSSgCANyroV4qekPatzn4566rlpa8RkIRAOBelmWWJ92+NATn9kkr3pZK1gb/3ADgViQTo1RNhbTkdak+SKNu/Dm82wROy8Y64wAAhIOvXir6l0n6hUpNmbRkhlnuBgAAN7EsafX79vdHtKOhzqxYU3U4dGUAABCo4s/NqjIhY0kr35MO7ghhGQDgIiQTo1DjyJvaSnvHjb/HPOzYXxziwAwAQAA2zzfLz9gRSBysPGD2YwQAwE1K1pr9oewIJA7W10hrPmSAKQDAXY7skTZ/bu+YQOKg5TODdxhgCiAWkEyMQiVrzWbAdsUnmoddGz5mNCoAwD2O7JG2fGH/uEDj4PalZvlvAADcoKZCWvuR/eMCjYMHtkk7l9k/DgCAUPDVS6s+kGRzoEugcbDqMANMAcQGkolRxtdgknvh1FAnbZoX3jIBJ1mWtGWfVN9gHp+uk/bEeEK9vkbatcrctPvqpT1rzbUBcMKGT2S74dha6z9mVkY0q2uQlm49dt1fsFmqYvQxjuOrl0rWH4uDu1aYPeUAJxR/HtrtLvzZOId7P8SWmnJpx7Jj1/19m80MpVjls6S1u4/dK81bLx2yuVoWECw7V0gV+8Jb5valod1iA86yLKm49Ng1bs46ae8Rp2vlrPoaadfKY3GwZJ3ZrxvRLd7pCiC4SjeakajhVrJW6n22lJga/rKBcLEsaWGxNHuNtPvQsef/tcj8tzBXOneA1K+TI9VzRPURqfgLaffRRGKjle9IcYlS/hCpYLSUmOJcHRFbyvc5M0uwrMTMiMzsGP6yEToVNdJHq6XPN0hVx3WSv/S5lBAnjeounT9QapvmXB3hrPoaacsCMyvr+OTh6g8lz3+ljv2lbmdJqVmOVRExpr5W2r3agXJrzGCyzoPCXzYQTkdKpC3zpb0b1WzwWtG/pKR0qctwqesIyRvnWBXDqsFnBtd+uk46eFxf1OsLpRkLpYH55l6pazvn6ojYYlnSjiJnyt6xzPSNInpYlhlIOntN80kE/zzaD9irg3TeAKlPDPUDVB02K0HtXmUmNTVa8bYUnyR1HiJ1Gy0lJDtXR4QOMxOPU1FRofvuu0+5ubnKyMjQtGnTNH36dCUkJKi6OjKGFjsVMC2fGY0ARCufJb2+wHQg7znk/z2bSqU/zDY3GbGgvFT64gWzb6rPz+ijhlpp6yJp4Ysm6Qj3i4o46OAyazuWOlc2gu9ghfT0h+aaXuVntk1dgzR/k/TL96WdjEKOSTUV0sKXTDLR3yxEq0HavVJa8IJ0eHf46wf7oiEO7lnt3L5NO4qYpY/oVrrJtG1OTCQ2qimXNn4qLZ0RG/un1dZLf/pYemtJ80RiI0vSqp3SMx9Ky7aFu3YIRDTEwUM7pIr9zpS9awWz9KOJz5Je+UJ6eb5UcorVyDbulZ6bJX2yNrx1c0rZXtO22bWieSKxUX2NtHWhtOBFqbos/PVD6JFMPKq+vl4XX3yx3nvvPT399NOaMWOGiouL9eCDD6pPnz5KTnZ/Or2uytk9m/aud65sINTeXyZ9dnQv0lP1kTR2nry1xIxcimbVZdLi1452np6u08iSqg9LS143NxVwr2iIg5JUusG5svdupBM1WlTXmUbhgfLT/5v6LKmyVvr9RyzlFWsa6kxnceUBnTYOWpaZKbZ0hlR5KFy1QyCiJQ7udTAOlpUwgAzR6/AuaflbR5cyPcP93sEd0op3ovu+0LKkFz+T1p1hsIzPMo/n50qbSsJTNwSGONh69TXO9ssiuN5ZKn2xyfz/mfoB31gsLd4Sjlo5p/qI6durqzlDfLOkqkPS0tdNOwjRhWVOj3r22WdVVFSkdevWKS8vT5LUt29fdevWTVOmTHG4di1zZK+z5ZeXmlEJsbKcB2LH4SrpvzaXi/r3EmlENykuSodsbFvUgkTiUZZl9g7YtdIs+QN3ioY4WFNuHk5pqDXf9bRs5+qA4FiwueV7YFiW2T9x1mrpqpGhrRfcY89ac+/bItbR2foLpH4XhLRaaIVoiIOWZZbcdlJZiZSS6WwdgFDY8KmN5KBl9lA8uF3K7hrSajlm635pmY2kiWVJ/14qfefC0NUJrRMNcVAySxE7XX77Hs7WAa13qNL+qmNvLZGGdo3efsAtC4/uyd2SWGhJFQfMUqhdhoW6ZginKP1622NZln7961/r7rvvbgqYklRQUKD4+HgNGTJE+/fv10UXXaQ+ffpo0KBBuvPOO1VT465pNmUONxx9Dc4tJQCE0vxTLGNzOuU10oodIamO4xrqzIbmdj+TbUuie3RuJIuWOOh0w1EynaiIbJYlfWpzmRqfZZY8rWHD+ZhgWdL2xZI89o7Zvcr/cqhwXrTEwerDzq8E4YZYDARbxX6zdKKd9o/H49w2NOEwd53ktRMHZRKQOw6ErEpohWiJg5bP+faY0+UjOD4LYIbrkSpp9c7g18UN6mvN0qZ2+/S20w8YdUgmSlqzZo127dqlK664otnzu3fvVn19vYYOHSqPx6Mf/vCHWrdunZYtW6aqqir97ne/c6bCp1Dpgv16KrkxRBRasNl23kwej7QoSpc63Vcc2B4g1YedHy0P/6ImDrogBlW4oA5onR0HpX0BzHCtrY/exiOaqzwgle+T7ZsDX4NUujEkVUIrRUscrHBDe9AFdQCCbc8a2RpAIpnO070bonPvxAaftGSrGUxlh9cT/csARqpoiYM15ZLP4cF9bmiTovUC7gcsDkl1HLdvc2B/W5UHbazmgojAMqeSdu40PT+5ubnNnp85c6YkaejQocrOztakSZMkSV6vVyNHjtS2bYHvIF1QUKDDh0+xe2uA7rviT5o48Fq/r42/R4pPPP3x8Unmv5O/cfr31ddK8/7o/7Wv3HOvPl7+0hlqCkSWm3+1QwnJ6baOsSzp48+W6vtXnBOiWjnnwhF36csXPiWPx2aLWtLVl9+oRRveD0GtziwzM1Nbt251pGy3i5Y4ePWE7+vGsx/y+1q44uAzv/6NXrjk4TPUFG6WP+ACnXfva7aPsyyf7r3vh1rz8R9CUCu4yYCCCXrs1ndsH9fgq9eDP/ip3vzsmeBXqgWIg6cWLXFwdJ9L9YNr/+H3tXDFwfff/VCTbrv+DDUFIstXL3lWZw++SfFxCfYOtKQ+hQO170h0LVmTnN5eNzxpf3RMfX29/vz8P3X7lK+EoFYtQyz0L1riYKfsQv3m3kV+XwtXHCzevE0XZQ0+Q03hdrc8s0fxCfb2CbUsaeYnC/Sdy6NvX4NLRn9Nt5//M3k99uelXXbh1Sra/FEIaoVAtDYOMjNRUrt27SRJmzZtanquoqJCP/3pT9WxY0fl5OQ0e391dbWmT5+uiy66KKz1PDPn5w1bls/pKgBBF+j32uf0kLgQ8VkNASUSJdORCveJljhouWD9DOJg5Av82u2Rr4FrXCzw+RoCOs4jT9TeG0Q64mB01QEINtOGCey7HY3tn8BjmcW9kktFTRykXxRBYvkC7AdsqAtyTdzB52uwO0G/SYPFdT+aeCzu9lVbW6vevXsrNTVVTz75pOrr6/Xkk09q69atGjZsmN57772m9/p8Pt14443q0KGDfvOb3zhY65OtmSntXBb48Y0jbz5pxSoFg78k5fYK/HjAjZ56T9p10F7z0euRhhdIt4wPWbUcs3+LtHRGYMeOvUNKaxfU6iAIoiUOblsirZ8V+PHBiIM9xks9xgZ+PJxXekT62duBHfuVc6R+nYJbH7hPdZk0N8AJqIMvl3J7B7c+aL1oiYMHtkpLXg/8+GDEwQ59pUGXBn484EZbF0obPpXtfKI3Xjr7m5I3LiTVcozPJz04Q6q22WfukXThYGnqoJBUC60QLXGwplya83+BHx+MOJieI425PfDj4Q5PviPttjlx1uuRRvWQbhwTmjo5ad9mqehfgR077i4pNSuo1YGDmJkoKTExUTNmzFBKSoquv/56Pf7443rooYeUlZWloUOHNnvv17/+dXm9Xj3zzDOO1PV00ts7XQN31AEItvG97I9D9VnS2ChNrGd3lZLsrfoqeaTMTiQS3Yo4GMQ65Jz5PXC3nDZSjxyz54UdbVKkPnmhqRPcJTlDatdNtvfPSkiW2vcMRY3QWsTBINaBOIgolNff9iVf8kidBkVfIlGSvF5pbKH9eyVJOos46ErREgcT08z9lpPcEIvReuMC6M/zWebaGI2yu5m/L1s8UlY+icRow56JR40cOVKLFy9u+rmyslLr16/XkCFDmp77wQ9+oO3bt+uNN96Q1+u+PGybDs6WH58kpWQ5WwcgFEZ0k95cItW2cGa+xyPlZJjO6Gjk8Updhkkb59g4yDLHwL2Ig9FTB7TexD7SZhsbxXskTextOtcQG/KHmZn6LeaROg+Nzk7laBENcTAxTUrKkGrKnKsDcRDRKClNyu0jlaxTy0eZWlL+kDO/LVKN7yXNXtPy93s9Uv/OUlZq6OqE1omGOOjxSG3ybN6jBVkGcTAqjOoh/XupVNfC3Q08HikvUyqI0gH0Xq+UP1TaPM/GQfQDRiX3XfldYvny5fL5fE0jcFatWqWnnnpKmzZt0qhRozR06FDdf//9zlbyBOk5ppPfKW3yAhuZBrhdUoJ0w1kte69HUpxHumlsdP89dBlu/uZbNETXY2ZidOgT6lohmCIxDsYnSanZzpWfmBbArF240pAu0qD8Fl7iPFLnbGly35BXCy7SvodZzrFFPFJattRtVEirhCCLxDgoHb0/c1BGrrPlA6HSa7KUmKIWT1HsPia6Zyi1z5AubmGy1OuRUhKlK0eEtk4ILuJgYDI7Ols+giM5QbreZj/gjWOiux+wYMTR+7wW9gPm9GJ7h2jEzMRTKCoqUmpqqnr1MvOaBwwY4PrN5OMSzB9pyVpnys/r70y5QDgM7ybV+6SX55u46fNzOfB4pIQ46a7JUrcobjhK5noz7Gqp6A3p8C6ZD+XEz+Toczk9pYGXODvYAfZFYhyUpI79pU1znSs7mhsPscTrlW4dL70wT1qxw3SCnXjdb7zsdc2W7jlHSuSuOqZ4PNKAi8z/l6zVaeNgentp2DVmwAMiRyTHwdINzpTdvoeUyKwjRKnkDGnEDWZf0lPN/vV4JMuSuo02+2hHu/MHSA0+6cMV/u+VGqUnS1+bIrVj0F1EidQ4mNdfKp7vTNkpmWZ7F0SHkd3NzMTXvjDXd7/9gDLtwLvPlrpG6azERnGJpk1T9C/pyB6dvh+w8Gg/IP0jUcdjRUIkQIsd2iEteiWwY1uz0XB8sjTxq1IcHWmIcnsOS/PWS/M3NV/uIC3JLPUyrldsLd3iq5dK1kvblxy9mThO265mBmNODxKJCJ+aCmnuHyTLZ//Y1sRBiY3Fo5HPklbvlD5dJ60/4RrXJVua1EcaViDFs3RlzLIsaf9maXuRtL+4+WvpOVLX4WYGY1yCI9VDDPL5pHl/lGrK7R/b2jg49CqTUASiWV21tHuVtG2JVH342PMej1kKtctQs0dULNmyT5qzTlq6tXlne9s0c690Vg8plQE1CKMlr0kHttk/rrVxsNdkqYCVKKLO7kOmH/CLzc37AdOTpPG9pXGFUmaM9QPuWWf6ActKmr+WXWD6Adv3IJEYrUj9RJnMzlJ6rlS+N7zl5g8mkYjYkJcpXT1KunSoSSzW1EspCVLHrNjsTPbGmxHwHftLlQdNx5XHIyW3MQ8g3JLSzJK6e2zs4RIM7XuSSIxGXo80MN88DlaYh88yjcWcDKdrBzfwHF3Ku31PqbpMqj5iBjMkppmlTYFw83rNnp6b7OxtHQQpWVK7buEtE3BCQrLUdYTpLK3YJ9VWmTZRalbszszt1t48rhoplZZJdfVmsG1elrmXAsItf3hgycTW8MZLHQeGt0yER8cs6ZrR0qXDpJLGfsBEqVOWFBeDA+e98VKnAeZBP2DsIf0TZTweqd/50sKX1PKNwVspuY3UbUx4ygLcIilBKojypUztSm1rHoDTek2W9m2W6mvCU543Xup9TnjKgnPappkHcCrJGeYBOK3rCGnPKqniQPjK7HcBK1Egtng8ZgY6jklLMg/AaTk9zcyofZvDV2bTvqqIWsn0A56EfsDYw+1+FMrsKBWMtH9cfa152NX/Qik+0f5xAACEQlK61HuK/eMCjYO9JjErEQDgHnHxUv+LZPatsSHQONh5iJTd1f5xAACEgsdjBrnY3a860DjYtouUP9T+cQAQadgzMUo11EuLX5WO7A5tOQWjTScqAABuYlnSqvdCv9xp+57SkCvYDwAA4D7F86VNc0NbRnp7aeRNDC4FALjP3vXS8n+HtozEVGnUzVJKZmjLAQA3YGZilIqLl4ZdFdplNzoPlgonhu78AAAEyuMxM+fb9wxdGW27SoMuJZEIAHCnbmdJXQNYsaalUttKw64lkQgAcKfc3maGYqgkJEvDriGRCCB2MDMxytVVS8velA7tCO55C0ZJhZPoQAUAuJuvQVrzobR7dXDPm9NLGniJGbwDAIBbWZaZobh5XnDP2yZPGnqllMhesgAAl9uzRlr9gWkbBktyG2noVWaGPgDECpKJMcDySdsWmyVuWhs4kzOkfhdK7QqCUzcAAMKhZK209iOprqp154lPNPsxdhzAgBoAQOQ4tENa9YFUdah15/F4pe5jpW6jJW9cUKoGAEDIVRwwCcXDu1p/rs6DpV6T7e/JCACRjmRiDKk4IG2aI+3dKMnmv3p8ktR5kGk4EiwBAJGotkLaNM/MUvTV2zvWEyfl9ZV6TjADawAAiDQNddKWL6QdRWYFG1s8UvseJg5mhHArDQAAQsXySduLpG2LpOoj9o/P6ix1H8cECwCxi2RiDKouk3Yul0o3SuX7dMrEYlyClNHBzL7I62t+BgAg0tVVm4TinjVS+d5Tz9r3eE2HaYe+UseBUmJKeOsJAEAoNNRLe9dLu1dKh/dIDbWneKNHSsuWcgrNLAz2hAIARAPLJ+0vlnaukA7tPP3qNSmZUnY3KX8og2kAgGRijGuok8pLpYqDZpaGxyPFJZoAmdrWdKQCABCtfA1SxX7zaKgze0vFJUhp7cz+FyzhBgCIZpYlVR40g2vqa83P3jjTFszIMW1DAACilWVJNWXSkRIz6NRqkLzxZjWajA5SQrLTNQQA9yCZCAAAAAAAAAAAAMAv5p0BAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8ItkIgAAAAAAAAAAAAC/SCYCAAAAAAAAAAAA8Ov/A5xKIfR/Skv9AAAAAElFTkSuQmCC", + "image/png": "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", "text/plain": [ "
" ] @@ -410,7 +410,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAABxMAAADzCAYAAABNLzjNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB1nUlEQVR4nO3dd3hUZd7G8e/MpHcCARJ6L6EX6U1RbNjFCoKou3bd1bWDuuvqWnHXtq5rxbbwWlFRqQKCgDSlKb23QAJJSJs57x+HCUmYJDPJ9Nyf65ormZMz5/wmc6Y993mex2IYhoGIiIiIiIiIiIiIiIiISAXWQBcgIiIiIiIiIiIiIiIiIsFJYaKIiIiIiIiIiIiIiIiIuKQwUURERERERERERERERERcUpgoIiIiIiIiIiIiIiIiIi4pTBQRERERERERERERERERlxQmioiIiIiIiIiIiIiIiIhLChNFRERERERERERERERExCWFiSIiIiIiIiIiIiIiIiLiksJEEREREREREREREREREXFJYWKAWSwWHn300dLrb7/9NhaLhW3btgWspqpUrDfQxo8fj8ViwWKx0KVLlyrXdf5vly9f7qfqRAQgOzu79HlqsVh49tlnA12SiIiIiIiIiIiIiLgpLMLEzZs384c//IHWrVsTExNDUlISgwYN4sUXX+T48eOBLk98rEGDBrz33ns89dRT5Za3bNmyxsHn8OHDGT9+fI1u++ijj9KyZcsa3dYdtblf48ePZ/jw4R7dZt68ebUKuC0WC2+//bbHt6vN/7G2NXtDqNdfGxWPs/j4eN577z1eeOGFwBUlIiIiIiIiIiIiIjUSEegCauurr77i8ssvJzo6mnHjxtGlSxeKiopYuHAh9957L2vXruX1118PdJmVOn78OBERofMwBGO98fHxXHvttYEuQ0QqERkZybXXXsu2bdu4++67A12OiIiIiIiIiIiIiHgguFIhD23dupUrr7ySFi1aMGfOHNLT00v/duutt7Jp0ya++uqrAFZYvZiYmECX4JFQq1dERERERERERERERERqLqSHOX366afJzc3lv//9b7kg0alt27bceeedpddLSkr461//Sps2bYiOjqZly5Y8+OCDFBYWlrtdy5YtOf/885k3bx59+vQhNjaWrl27Mm/ePAA++eQTunbtSkxMDL1792blypXlbj9+/HgSEhLYsmULo0aNIj4+noyMDB5//HEMwyi3rrtzEH7zzTcMGTKE+Ph4EhMTOe+881i7dm21t3v00UexWCynLHc1N+Py5csZNWoUDRo0IDY2llatWnH99ddXWa9z+5s2bWL8+PGkpKSQnJzMhAkTyM/PL3fb48ePc8cdd9CgQQMSExO54IIL2L17t8v/wYYNG9ixY0e1968mCgsL+dOf/kRaWhrx8fFcfPHFHDx40Cf7Kmvq1KmcdtppxMXFUa9ePYYOHcp3330HwJw5c7BarUyaNKncbT744AMsFguvvvqqT2oaPnx4ubnsyl5qMjRpdY4fP07Hjh3p2LFjuSGIDx8+THp6OgMHDsRut3t9v04//fQT5557LvXq1SM+Pp5u3brx4osvlltnw4YNjBkzhrS0NGJjY+nQoQMPPfRQwOv//fffufTSS2ncuDExMTE0bdqUK6+8kpycHAAuueQSevXqVe42o0ePxmKx8MUXX5T7H1gsFr755pvS2u+55x66du1KQkICSUlJnHPOOaxevbrctpxDr3788cc8+OCDNG7cmPj4eC644AJ27tzpk/ssIiIiIiIiIiIiIoEX0mHil19+SevWrRk4cKBb699www1MmjSJXr168cILLzBs2DCefPJJrrzyylPW3bRpE1dffTWjR4/mySef5MiRI4wePZr333+fu+++m2uvvZbHHnuMzZs3M2bMGBwOR7nb2+12zj77bBo1asTTTz9N7969mTx5MpMnT/b4fr733nucd955JCQk8I9//INHHnmEdevWMXjwYK/NqXbgwAHOOusstm3bxv3338+//vUvrrnmGpYsWeLW7ceMGcOxY8d48sknGTNmDG+//TaPPfZYuXXGjx/Pv/71L84991z+8Y9/EBsby3nnnedye506dWLcuHG1vl+u3H777axevZrJkydz88038+WXX3Lbbbf5ZF9Ojz32GGPHjiUyMpLHH3+cxx57jGbNmjFnzhwATj/9dG655RaefPJJVqxYAcDevXu5/fbbGTlyJH/84x99UtdDDz3Ee++9V+4yatQoABo2bOj1/cXGxvLOO++wadOm0oAOzJ7EOTk5vP3229hsNq/vF+D7779n6NChrFu3jjvvvJPnnnuOESNGMGPGjNJ11qxZQ79+/ZgzZw433ngjL774IhdddBFffvllQOsvKipi1KhRLFmyhNtvv52XX36Zm266iS1btpCdnQ3AkCFDWL16NUePHgXAMAwWLVqE1WplwYIFpdtasGABVquVQYMGAbBlyxY+++wzzj//fJ5//nnuvfdefvnlF4YNG8aePXtOqeWJJ57gq6++4r777uOOO+7g+++/Z+TIkZqfVkRERERERERERCRcGSEqJyfHAIwLL7zQrfVXrVplAMYNN9xQbvk999xjAMacOXNKl7Vo0cIAjB9//LF02bfffmsARmxsrLF9+/bS5f/+978NwJg7d27psuuuu84AjNtvv710mcPhMM477zwjKirKOHjwYOlywJg8eXLp9bfeessAjK1btxqGYRjHjh0zUlJSjBtvvLFc3fv27TOSk5NPWV7R5MmTDVcPc8X9fPrppwZgLFu2rMrtVazXuf3rr7++3HoXX3yxUb9+/dLrP//8swEYd911V7n1xo8ff8o2nfsZNmxYlbUYhvm/btGiRbXrGcbJ+zxy5EjD4XCULr/77rsNm81mZGdnu7UdT/3++++G1Wo1Lr74YsNut5f7W9k68vLyjLZt2xqZmZlGQUGBcd555xlJSUnljjdfW7RokREZGXnK4+ltDzzwgGG1Wo0ffvjBmDZtmgEYU6ZM8dn+SkpKjFatWhktWrQwjhw5Uu5vZR+DoUOHGomJiaf8z8uuE4j6V65caQDGtGnTKl1n2bJlBmB8/fXXhmEYxpo1awzAuPzyy41+/fqVrnfBBRcYPXv2LL1eUFBwynG5detWIzo62nj88cdLl82dO9cAjCZNmhhHjx4tXf6///3PAIwXX3yx2vuxdetWAzCeeeaZ6u+0iIiIiIiIiIiIiASFkO2Z6Ox9k5iY6Nb6X3/9NQB/+tOfyi3/85//DHDK3IqdO3dmwIABpdf79esHmD3ImjdvfsryLVu2nLLPsr3dLBYLt912G0VFRcyaNcutmsHsTZWdnc1VV13FoUOHSi82m41+/foxd+5ct7dVlZSUFABmzJhBcXGxx7ev2HNuyJAhZGVllT5OM2fOBOCWW24pt97tt9/ucnuGYZQOK+ttN910U7mhX4cMGYLdbmf79u0+2d9nn32Gw+Fg0qRJWK3ln3Jl64iLi+Ptt99m/fr1DB06lK+++ooXXnih3PHmS/v27eOyyy6jR48evPLKKz7d16OPPkpmZibXXXcdt9xyC8OGDeOOO+7w2f5WrlzJ1q1bueuuu0qPdSfnY3Dw4EF++OEHrr/++lP+5xWHCvZ3/cnJyQB8++23pwwf7NSzZ08SEhL44YcfALMHYtOmTRk3bhwrVqwgPz8fwzBYuHAhQ4YMKb1ddHR06XFpt9vJysoiISGBDh06lPaSLWvcuHHlXncvu+wy0tPTS19jRURERERERERERCS8hGyYmJSUBMCxY8fcWn/79u1YrVbatm1bbnnjxo1JSUk5JUiqGCY4G/ObNWvmcvmRI0fKLbdarbRu3brcsvbt2wN4NDTp77//DpghZlpaWrnLd999x4EDB9zeVlWGDRvGpZdeymOPPUaDBg248MILeeutt06ZT7IyFf9f9erVA07+X5z//1atWpVbr+Lj4Q/V1eptmzdvxmq10rlz52rXHTRoEDfffDNLly5l1KhRp8xZ6SslJSWMGTMGu93OJ598QnR0tE/3FxUVxZtvvsnWrVs5duwYb731lsu5Pb1l8+bNAHTp0qXSdZwnBFS1jpO/62/VqhV/+tOfeOONN2jQoAGjRo3i5ZdfLp0vEcBmszFgwIDSIU0XLFjAkCFDGDx4MHa7nSVLlrBu3ToOHz5cLkx0OBy88MILtGvXjujoaBo0aEBaWhpr1qwpt32ndu3albtusVho27at14ZcFhEREREREREREZHgEtJhYkZGBr/++qtHt3O3wb+yec8qW24Yhkd1uMs5F+N7773H999/f8rl888/r/L2ld1fu91+ynrTp09n8eLF3HbbbezevZvrr7+e3r17k5ubW22d/v6/1EYw11pYWFjaI3Pz5s2V9kLztnvvvZfFixfzv//9j6ZNm/pln99++y0ABQUFpaF5KPF3/c899xxr1qzhwQcf5Pjx49xxxx1kZmaya9eu0nUGDx7MsmXLKCgoKA0TU1JS6NKlCwsWLCgNGsuGiX//+9/505/+xNChQ5k6dSrffvst33//PZmZmafMBSsiIiIiIiIiIiIidU/IhokA559/Pps3b2bx4sXVrtuiRQscDscpjf779+8nOzubFi1aeLU2h8NxytCnv/32GwAtW7Z0eztt2rQBoGHDhowcOfKUy/Dhw6u8vbPXXXZ2drnllQ3p2b9/f5544gmWL1/O+++/z9q1a/noo4/crrcyzv//1q1byy3ftGlTrbcd7Nq0aYPD4WDdunXVrjt58mTWr1/Ps88+y9atW7n//vt9Xt9HH33ElClTePbZZxk2bJjP9wewZs0aHn/8cSZMmEDPnj254YYbXPaC8xbn86iqkw+cPYndOUHB3/U7de3alYcffpgffviBBQsWsHv3bl577bXSvw8ZMoSioiI+/PBDdu/eXRoaDh06tDRMbN++PY0aNSq9zfTp0xkxYgT//e9/ufLKKznrrLMYOXLkKa8ZThVfQw3DYNOmTR69romIiIiIiIiIiIhI6AjpMPEvf/kL8fHx3HDDDezfv/+Uv2/evJkXX3wRgHPPPReAKVOmlFvn+eefB+C8887zen0vvfRS6e+GYfDSSy8RGRnJGWec4fY2Ro0aRVJSEn//+99dzmV48ODBKm/vDFGc86gB5OXl8c4775Rb78iRI6f0zOvRoweA20OdVmXUqFEAp8zF969//cvl+hs2bGDHjh213m8wuOiii7BarTz++OOn9PQq+z//6aefePbZZ7nrrrv485//zL333stLL73E/PnzfVbbr7/+yg033MC1117LnXfe6bP9lFVcXMz48ePJyMjgxRdf5O2332b//v3cfffdPttnr169aNWqFVOmTDklJHM+BmlpaQwdOpQ333zzlGOv7OMUiPqPHj1KSUlJuWVdu3bFarWWe37269ePyMhI/vGPf5CamkpmZiZghoxLlixh/vz55XolgtlTt+Jzf9q0aezevdtlLe+++2654aWnT5/O3r17Oeecc2p1H0VEREREREREREQkOEUEuoDaaNOmDR988AFXXHEFnTp1Yty4cXTp0oWioiJ+/PFHpk2bxvjx4wHo3r071113Ha+//jrZ2dkMGzaMpUuX8s4773DRRRcxYsQIr9YWExPDzJkzue666+jXrx/ffPMNX331FQ8++CBpaWlubycpKYlXX32VsWPH0qtXL6688krS0tLYsWMHX331FYMGDSoXWlZ01lln0bx5cyZOnMi9996LzWbjzTffLN2G0zvvvMMrr7zCxRdfTJs2bTh27Bj/+c9/SEpKKg1ia6N3795ceumlTJkyhaysLPr378/8+fNLe2tWHI61U6dODBs2rHTIz2AwfPhw5s+f7/FwqG3btuWhhx7ir3/9K0OGDOGSSy4hOjqaZcuWkZGRwZNPPklBQQHXXXcd7dq144knngDgscce48svv2TChAn88ssvxMfHV7oPZ68wT+etmzBhAkDpEJdlDRw48JR5P53mzZvHiBEjmDx5Mo8++qhH+/zb3/7GqlWrmD17NomJiXTr1o1Jkybx8MMPc9lll1V5vD366KM89thjzJ07t9peuWVZrVZeffVVRo8eTY8ePZgwYQLp6els2LCBtWvXlg5Z+s9//pPBgwfTq1cvbrrpJlq1asW2bdv46quvWLVqVcDqnzNnDrfddhuXX3457du3p6SkhPfeew+bzcall15aul5cXBy9e/dmyZIljB49uvR5NXToUPLy8sjLyzslTDz//PNLe1kOHDiQX375hffff7/Sxz41NZXBgwczYcIE9u/fz5QpU2jbti033nij2/dHREREREREREREREJHSIeJABdccAFr1qzhmWee4fPPP+fVV18lOjqabt268dxzz5Vr4H7jjTdo3bo1b7/9Np9++imNGzfmgQceYPLkyV6vy2azMXPmTG6++WbuvfdeEhMTmTx5MpMmTfJ4W1dffTUZGRk89dRTPPPMMxQWFtKkSROGDBlSGgZVJjIykk8//ZRbbrmFRx55hMaNG3PXXXdRr169crd1hqsfffQR+/fvJzk5mdNOO43333+fVq1aeVyzK++++y6NGzfmww8/5NNPP2XkyJF8/PHHdOjQgZiYGK/sw5dyc3Np3LhxjW77+OOP06pVK/71r3/x0EMPERcXR7du3Rg7diwADz74IJs2beLHH38s/V9ERUXxzjvv0L9/f+69995TenWWlZeXR9u2bT2u6+DBg+Tl5XHTTTed8re33nqr0kDJOY9menq6R/tbsWIFf//737ntttvKBfj3338/n3/+OTfeeCNr164lJSWl0v1aLJYaPQ6jRo1i7ty5PPbYYzz33HM4HA7atGlT7jWie/fuLFmyhEceeYRXX32VgoICWrRowZgxYwJaf/fu3Rk1ahRffvklu3fvJi4uju7du/PNN9/Qv3//cus6eyEOHjy4dFnjxo1p27YtmzZtOiVMfPDBB8nLy+ODDz7g448/plevXnz11VeVDrH74IMPsmbNGp588kmOHTvGGWecwSuvvEJcXJxH90lEREREREREREREQoPF8LSblVRr/PjxTJ8+vTRwkcqtWrWKnj17MnXqVK655hqPbz9+/HjmzJnDihUriIiIqDTEqa1jx46RmprKlClTuPXWW32yj5pat24dmZmZzJgxwyfD9bryl7/8hQ8//JBNmzYRHR3tl30CnHbaabRo0YJp06b5bZ/eFMr1O3ujTps2jcsuu8yj2xqGQVZWFjt37qRXr14888wz3HPPPT6qVERERERERERERES8KeR7JkroOH78OLGxseWWTZkyBavVytChQ2u83Z07d5KWlkZmZia//vprbct06YcffqBJkyZBOZTj3LlzGTBggN+CROc+H3nkEb8GiUePHmX16tWnzPcZKkK9/trIycnxaHhnEREREREREREREQkeChPFb55++ml+/vlnRowYQUREBN988w3ffPMNN910E82aNavRNv/yl79w7bXXApCQkODNcss577zz/BrWeeLWW2/1e2/JZcuW+XV/YM4fWlhY6Pf9ekuo118bCQkJfP/996XX27dvH8BqRERERERERERERMQTChPFbwYOHMj333/PX//6V3Jzc2nevDmPPvooDz30UI232blzZzp37uzFKkXE2yIiIhg5cmSgyxARERERERERERGRGtCciSIiIiIiIiIiIiIiIiLikjXQBYiIiIiIiIiIiIiIiIhIcFKYKCIiIiIiIiIiIiIiIiIuKUwUEREREREREREREREREZcUJoqIiIiIiIiIiIiIiIiISwoTRURERERERERERERERMQlhYkiIiIiIiIiIiIiIiIi4pLCRBERERERERERERERERFxSWGiiIiIiIiIiIiIiIiIiLikMFFEREREREREREREREREXFKYKCIiIiIiIiIiIiIiIiIuKUwUEREREREREREREREREZcUJoqIiIiIiIiIiIiIiIiISwoTRURERERERERERERERMQlhYkiIiIiIiIiIiIiIiIi4pLCRBERERERERERERERERFxSWGiiIiIiIiIiIiIiIiIiLikMFFEREREREREREREREREXFKYKCIiIiIiIiIiIiIiIiIuKUwUEREREREREREREREREZcUJoqIiIiIiIiIiIiIiIiISwoTRURERERERERERERERMQlhYkiIiIiIiIiIiIiIiIi4pLCRBERERERERERERERERFxSWGiiIiIiIiIiIiIiIiIiLikMFFEREREREREREREREREXFKYKCIiIiIiIiIiIiIiIiIuKUwUEREREREREREREREREZcUJoqIiIiIiIiIiIiIiIiISwoTRURERERERERERERERMQlhYkiIiIiIiIiIiIiIiIi4lJEoAuQuiW7uJhce0mgyzhFgi2ClMjIQJchIiIiIiIiIiIiYShY20XB+22j+UVQFJx3lagIiIsKdBUSCnQcl6cwUfwmu7iYNgvmcsxuD3Qpp0i02dg8ZIQCRREREREREREREfGqYG4XBe+2jeYXwWOfQWFx7evyhehImHyRAkWpmo7jU2mYU/GbXHtJ0L5hHrPbg/bMIBEREREREREREQldwdwuCt5tGy0qCd4ABszagrW3mQQPHcenUpgoIiIiIiIiIiIiIiIiIi4pTBQRERERERERERERERERlzRnYggzDMg/Asf2w/GjYNjBYoPYZEhqBLEpYLEEukoRERERERERERER7yophKP7Ifeg+TsWiIiGxDRIbAQRmhNPJKiU2GFPNuw6DLkF4DAgKgIaJ0OzVEiMDXSFUhWFiSEo9xDsWgX71kFJUeXrRURDehdo2h3iU/1WnoiIiIiIiIiIiIjX2Yth/0azbfTovqrXTc6AZj2hYTuwqhVcJCAcBvy2Dxb+But2m9cr0yARBrWD01pDfLT/ahT36GU0hBTmwobZcPB399YvKYSdP5uXRh2gwxkQFefbGkVERERERERERES8yTBg33rYOAdKCty7Tc4e8xIZCx1Hmu2jIuI/2w7BR0tgX4576x86Bp+vgK9WwZldYGQm2DRRX9BQmBgi9m+A9d+f6LJfk9tvhMPbodPZ0LCtd2sTERERERGR8GZ3mJdAs1nVqCShKdyeQ8UOByVGFd1L/CTCYiHSqheFcFeUD+u+hUOba3b74uPwy5dw4DfoeCZExni3PhEpz+6Ar1fDnHVQk3eKEgd8swZ+2QljB0GjZK+XKDWgMDEE7PgZfptb++0UF8Caz8w3zabda789ERERERERCX92B0z6BPJqeHKrN8VHw+OXKFCU0BJuz6Fih4PmP8whq7jYe4XVUP3ISHYMPV2BYhgrzIWf/wf5h2u/rf0bIS8Leo3R6G0ivlJih3cXwZqdtd/WriMw5Vu4+QxoXr/225Pa0TttkNu9xjtBYlkbvoe967y7TREREREREQlPdkdwhCBg1hEMvbtEPBFuz6ESwwiKIBEgq7g4KHpIim8UF8CKad4JEp1yD8HK6VBS5L1tiojJMOD9xd4JEp0KiuHV2e4PlSq+ozAxiOVlwYZZ7q3b5Xzz4q7130F+do3KEhEREREREREREfGp3+aY7aPu8KRt9NgB2DS/5nWJiGtLNsPK7e6tO26QeamOARwvhvcW6YSyQFOYGKQcDlj7DRhuPkHi65kXt7dfAutmmmcLiIiIiIiIiIiIiASLg5s9G1nN07bRXavh8A7P6xIR147kwac/u79+wyTz4q7dR2DWWs/rEu/RnIlB6sBGOLrPt/vI3mW+MTds69v9iFTHMODITsjaCvZiiIyFRu0hIS3QlUltlRTBvvUnzySMqweNO2mycxEREZGKDAOO58CxfXD8qHliqS0SEhpAYiN9fgoGRSVmQ9buI3C8CCwWSIqFZqlmY5jmcRQR8Q7DgN/n+X4/v82FfuPM13MRqZ2Zv5iflXzpu19hcHtz/l/xP4WJQWrnSv/sZ/cqhYkSWFnbYP33UHDU/PBmGGCxwtbFkNQYOp9tNqBIaHE4YNMPsGulORwBzl7WVvhtHjTtBu2Gg9UWsBJFREREgkJhLuxeA7tWQVF+mT9YOPFBypTSBJr1hLR2+gzlT4YBv++Hhb/Br7vAceIxcbY7Ox+i6Ajo1wYGtYNGyYGoVEQkfBzeAflHfL+f3INwdC8kZ/h+XyLhLK8Qft7q+/3YHfDTZji9s+/3JadSmBiEcg9Bzh7/7CtrGxzPhtgU/+xPpKwDv8OaLyj9Bu4cdtewmz+P7Ydl70OfqyFRvRRDhuGANZ+bPU1PGar5xGO7azXkZkHPS9UYJiIiInWT4YAdK2DTgpOff8uvUP5q9h7I3m2O9JB5LiSn+6XMOu1wLnywBDbtB6vlZJAIpzw8FJbAgt/gh40wtAOc18MMGEVExHO7V/tvX7tWK0wUqa3lW6HET/MZLvpdYWKg1KlBOKZPn0779u2Jj49n6NChPPzww4wYMSLQZZ0ie5ef9+en4NIbHIuXUPzH28pfLrwU+5R/Bbo08VBhHvzyJad+Cy/DMMBeAqs+cX/+UAm8nSsrCRLLMBzma932Zf6rS0RERCRYFB+H5R+ZQ7i5DBJdOfG5OT/bPOFu29KTJ+OJ963ZCU/OgC0HzOsON/7Xzsfjh43wjxmw/6jv6hMRqYlQaBt1ToXjL/5uh62NutYu+uK15cefPXpwG2/e1TIwxUiVnJ+X/CErF3KO+29/tRVOx3GdCROnTp3KnXfeyVtvvUVubi4TJ07kqaeeolevXoEu7RRH9/t5fz6em9GbrAP6E/naS6UX2123Q0wM1qvGBLo08dCeX9wck94wh37K2ubrisQbDMMMCN0Jfw0H7PgZHO42oImIiIiEgeICM0jM2VvDDZwIrDb9AFt+9FpZUsaq7fDWD1Bsdy9EdCU7H178VoGiiASPUGkbLcw1T7rxl+M55ntzKFC7qASr7Vn+3d8uP+9PTHUiTCwoKODuu+/mtddeY9CgQVgsFsaNG4fNZqNnz56A+YY6YMAABgwYwOzZswNab56fnwz+3p+3GLm52P/+D2x33Y6lUaNAlyMe2rXasxBp9xrf1SLek73b7HXqrpICcy4EERERkbrAMODXGZB3mCpH6LBFmvOH2yKr3t7WxbB/g1dLrPP2HIF3F1X58AAQFQEt6ps/XXEYUFAM/55jDoEaDAqKzbkfPe3RunEv7AjCdgPDgAUbzfvliex8WLrFNzWJBKtQahsNRDtlKLaNql1UgkVhifne6k97c/y7PzHViRH8FyxYQGFhIaNHjy5ddvToUYqKiujZsyfZ2dk8/fTTLF26lNzcXEaMGMGqVauw2dyfyOvKK69k48aNXqn37nM/JqNe+1OWdzkf4uu5vk1cqvmz39jKt5t3xPziWpZhOFix/Bcm/n18zYr1QHFyEjx0v9e2Z39uCtaB/bEO6O+V7Z199tlE5ui0UX958sqlRFTXOuJkwOqlGxn/2JW+LUpqrUeLsxnTfzKRETFurV9YXMBD9z7N0s2f+rgyU4cOHfjoo4/8si8RERGRivb86t6IG/H14bRrYenU6keSWf891GsGUfFeKbFOsztgqpu9PdOT4e6z4YWZlZ+N7zDgcB58tQou6eO1Mmts9Q6YvsycC3J0T/dGitmwF/47Hzqmw8Rhvq/RE4dy4cuVsGIb/OF0iHHj62V2Prw8CwqLoWtTiI3yeZkiQSGU2ka7NB3BdcOeP3V5Fe2iUPO2UYA/3HAzv+1b4mGlngn2dlHwXttoVEJDBvzxWy9UBO8/2KP0d0dJkVe2CTBq1CiKcv04NmcYi4ytx8Bb57j827hB0DDJ9e2cy+85p/JtHzhqnuRV0cuvvs69i171sFLPhOtxXJu20ToRJh44cIC0tLRyy6ZOnUpsbCwdO3Zk1qxZDBkyhJiYGGJiYmjWrBmbN2+mfftTAz1/cBh2DMPA4tYYkLVjnNhfqLF/+hlkZWH14puw+JfDKAHcDBOBEof3XmjFd+yOYiwW9zu9W07cRkRERCTc2YvNORK9raQINv8Inc70/rbrmiWbYU+297f7w0YY1A4aJXt/257o1wZy8uHrE6O+VBcoOoPEFg3g2kH+qdETaYlw0wh4fa7ZA7S6QNEZJBYUw60jFSRK3RJKbaMOd+ZN8TJ7iLWN1qV20Wv+vqr096MHtzH9ieEBq0VcMwLw/DFCbM6kcDmO60SY2LlzZ7Zt28bs2bMZOnQoX3zxBY888ghdu3bFZrORlZVFvXonT22pV68eWVme9W/3Zk+XFdPh8LZTl7s6c8bJedbNT+95ti+rxUq/Qb246emVnt2wBnYVHKf1gnm13o7jt99wfDSNiH8+jyXCe4fwzJkzaRoT67XtSdWWf+T+JNcWGww+uyvXP+X741Rq53gOLPqP++tHRsTw4n/+Snz9v/quKBEREZEgsH8DlBT6YMMG7F0L7YZCRLQPtl9HGIYZ+lmofohTT1kssOj34OideFZX82d1gWLZIPHG4RAdpK1HbRu5FyhWDBIbBzjYFfG3UGobzd4Dyz84dXlV7aJQ87ZRgLffe52EtOrXq41gbxcF77WNZufDo/4ZgKrGvv32W1LiAl1FeLA74C8fmz8rctWr0MnZI/HZbzzf5z133czgV272/IYe0HF8qjoxZ2LPnj2ZPHkyV1xxBenp6aVn2zgnGK5fvz5HjhwpXT87O5v69esHqlySGvp5fyE0rLaRl4f9iaew3XmbxgMPcc17uzesDoBhh6Y9fFqOeElsMqS2xGyFcUNyE3MYLxERERFvKSkp4YEHHiA1NZVmzZrx/PPPB2zUmbJ2/+K7bTtKYP9vvtt+XbDzMOzP8X6QCGZQ+dNmcPi/s41LZ3WFc7vBnPXmMKEV51AMlSDRyRko7j5iBooV51BUkCgSWm2jiWm43abgDRYbxIVIu4TaRSUY2ayQkeLffTZN9e/+xFQnwkSASZMmcejQIQ4dOsSrr77K5s2bSycY7tevHwsXLqSwsJDDhw+zY8cO2rRpE7BaE/38XuDv/dWG44sZcOgQ9nffp/iPt5VeSp6fEujSxEMN2kB8A6huREyLFRp3hrgUv5QlXtBmkJuf+y3QdrCvqxEREZG65r777mP16tVs2bKFxYsX8/zzz9OlS5eA1uSwVz/3YW1YrJCzx3fbr42jB7cx/W/Dyy17866WAamlKtsO+Xb7hSWwv/bTUHlNZYFiqAWJTpUFiuEQJIbKc8hdjm++peSe+0ovxeOup+ThyYEuq04IlbZRWyTE+zEoSGwI1hBpIVe7qASrZn58zlos/g8vxRQiHwu9q6ioiI0bN5a+YaakpPDnP/+Z4cOHA/D88897NMGwt9VvCdYI8+xSX4uIhnpNfb8fb7FddQW2q64IdBniBVYr9LoMfv4f5GebvQ8rsljN50PnUf6uTmojOR26XgC/fGlerzjdgcVqNlZ0OQ/qNfN/feJbhsNsMLVGuN/7WERExFv27NnDG2+8waZNm0hJSSElJYVBgwaV9kz8y1/+wuLFi2nbti1vvPGG37735WWd+pnImwwH5Oz13fbrgl2HwWoBhy+6Jp6w8zCkp/hu+56qOORpu8bw5g+hFyQ6VRzy9Ir+ZjAaykFiOLKeMwrrOeaXfOPoMUr+/BdsN04McFV1T7C3jTZsB1s9G2W15vtq65/9eENdaxe9c2r5N+WktJZcP2VbYIqRKnVtBj9u8s++OmdAVAh9Rgmn4ziE/u3es2HDBgC6du1aumzcuHGMGzcuUCWVExEN6Zmwe7Xv95XRxTzjRyQQouKh7zWw51fYsRwKypypm9QImvWGxh2r770owadhO+h/Hez42ZzDxzkvssUKjTtB8z4nhi6RsHDsIOxcAfs3gr3oxEILxCRCs56Q3gWiNCWtiIj4wezZs+nTpw9paSc/aGRlZZGZmcnq1as5ePAgCxYs4LHHHmPGjBlceOGFbm03NzeXtWvX1riukiPJQMdTltsiXQ/57lxW1XDweVlgLzOcY352MT/9tKLGNValxGEBTvPJtmti2bKlRFi9m/rt3NsBh5FSbllUBKRXEkA5g6mqAqq9OVBUepKwwdrfdmIcDK7UNxnomprBnPXNmLPeoEH0MXrGb2TVz0EyJmsNDGmcyLw9HXh6hoUIq52RTdezfcNxtgewpnB7DhVWHBu3BgzDwP7Ms9iuuBxLi+a12tayZcuI9uBMxszMTBISEmq1z1AX7G2jTbrD1p/wzdjTZViskNG1+vVEpGod0qF+AmTl+n5fg9r5fh/iWp0ME7t160ZxcXH1KwZQs56wew0+fdO0WDUPnQReRBQ072Ue84vfNnus9RkD0XX7c31YiK8Pnc6C9sPhp6nmstOuNR9zCQ9Z22HTD3Bs/4kep2XbnAzzBIHNC2HTAmjUAdoN03NbRER8Kysrq1yQeODAARYvXswLL7zAwoULOfvsswE4++yz+eSTT9wOE9euXUv//v1rXFffDmfz9xu+OWV5fH3z81FlMs+p/G9Lp5YfOjUn5ygja1FjVWyRMdz21vEa3/7gjlXlhmnMz6ndmK/Dhg3DXlxQq21UdNFfZtKiW/khUdKT4e6zq77dVQMq/9sLM2H7iZ41DoeDV155heVf/qOWlXpf8y5ncsG9X2GzRbJw7lc88srVgS6pVuLrZXDVX1cQn9KIfbt/Z/TEwRQdPxbQmsLuORQVReSMz2pVg+PjaZBaH+vI02u1HTDvD0VF1a94wpIlS+jXr1+t9xvKgr1tNCYRGrU3T1j1pfTOEBXn232I1AVWCwzvCP+33Lf7aZgIHTN8uw+pXJ0ME0NBQgNo2Re2LfXdPloPhLh6vtu+iCcsFrCeGEFDYUN4sUWZQ16CgsRwsms1bJx1cn6dyoZuc/ZK3b/RDB97jzHf40RERHyhffv2PP300+zduxeLxcKECRMoKiqiQ4cOfPnll7Rq1QqA5ORkjhw54vZ2MzMzWbJkSY3rsh9NIN/FyDN5WWYoWFF8fTNIXPuNuY4rFZcn14+vVY1VKXFYmLal5rdPa96Dyx6eV3q9tvO9zZ8/3+s9Exfta8vOXAOjzOzfe3PMQNCVxslmkPjhYtiX43qdvWWWW6027rztD7R76GIvVl17e/OTWbC3PUlR+RwpjKTjwKu46Nxh9Ki/MySHrM8viWTO7k4U2iMockCDjHY88t5uhmdsJNLqYm4NPwm351ChYTDymPuvoRU51vyCsXARtuefqfE2ypo/f77HPRMl+LUfAVnboKTQN9uPjIW2w3yzbZG6aFA7WLYVdvhwiOKrBpjBpQSGwsQg1nogHNxc+ZfHsvI8/AyX2BBa9K1ZXSIiUrft+QU2zj4ZJLrDcEDxcVj+IfQbC7EpPitPpFSxHSKs7s3f6cm6dVmxHSLdnD7Hk3VFvOXss8/mzDPPpH379rRu3ZoxY8awfft2oqKiSElJISfHTHdycnKoV8/9MysTEhJq1YulpAjmuQgT7cXlexdWlJdV9d9LWaBhixi6+qinTVEJtQpCvK1v39O8PlfO0V9hZ4XHqKjkZM/CyuzLqX4dp8G9WtGyQauaFegDG/bC9PnQqiGM6pLAy7NhQFtYvCmDjPQMRvcMrffF7Hx4eRZggytOg/cWwSV9rHyxIpGfj/bhD6dDTICmeQm359Bxux3mfFej2xpHjmCf8i8i/vYYlijvnG3at29fYgM4v5/4RnQCdDgD1n7t3vqeto12OkvTcYh4k9UK1wyAZ74Gu6P6ARcPHK1mhQqGd4RWmjIpoDQTWRCzRkCPi8155arz6wzz4o6YJOh+8cleYCIiIu7K2Qvrv6u8JyKYZ3i6ZJhzKv48DRyhOw2PhJAPFsOnP1cffBeWwGtzYMFv/qkrVO3LgSe+gD1uNNSs3QV//xIKgnf0LAlTVquVd955h2PHjrF69Wrq1atX2gNl4MCBfPed2fj97bffMmBAFeNTellElI9HhTEgqbEPt18HNK/v26m5rBbISPHhDjy0YS/8dz60aAA3DofIE8FSvzZwbjeYsx6+XOnZyWOB5AwSC4rh1pHmvE0ATVPhphGw+wj8e47el4KBY+oHkJ+H/fkplNxzn3l58ulAlyVBKr0ztHTzPBlP2kbbDIaGmndNxOsaJcP4IYAFqjsf6d1F5sUdmU1gdM/aVie1pTAxyMWmQJ+rzADQa9u70hx7XERExFPbl1bd0BYZC8NurTxQNAwoPAaHgujMbAlfo7rCiu1VB4qFJfD6XLMXXd/g6SwSlBolQc8W8PLsqgPFtbvg7YVwdtfA9QCpKLcAlm+FxZvMBmWpOzZu3FgaJvbo0YN69eoxZMgQNm/ezPnnn+/XWtJ9PKpew/a+3X5NJaW1LDc8I8D1U7YFpJaqtGkI8dG+2bbVAl2b4fXelDVVMUiMrlDXWV1DK1CsGCQ2Ti7/97aNQjtQDJXnkLtst99K5EfvE/HsP05eHvhLoMuSINZmMLTy4pTAbYd4d3siUl6XpjBxqNlT0Ru6N4MJQ8CmJCvgguSjrFQlLgX6jYPf5sHeX2u+nSbdod0wzVkmIiI1U5gHBzZR69P2DQfsWA4N23qlLJFKNU6G20bCS7PM6xf3Lj9cW9kg8ebTIVafkapkscAFJ84GfXk23HoGZFToaeUMEi/ra/ZuCTSHAZ8sh5+3QonD7BUdFQn14syG5ZS4QFcovrZx40YmTpxYev3ZZ58NWC0ZXWHLIh8EMxZo0Bpik6tfVSoXYTPn+vn+V+/3UHQYMDhIwt7qgkSns7qaP79eY/4M1iFPqwsSnZyB4utzzUAxkEOeiohnLBYzUEzOgHXfQlFezbYTnQiZZ0NqC+/WJyKn6tIU7j3XHC2opnMoRtrgwl4wsJ3mSQwWynNDRGSM+YbX81JIaerZbes1h15joNOZChJFRKTm9vzivTPLsndBvnoHiR84A8WKPRQVJNaMM1A8rfWpPRSDLUgE+OxnWLoFjhebj7XdgONFsDcbXvzOnMNKwtvMmTO5/PLLA10GANHx0Ly3b7bdeqBvtlvXDO1gvh94s73KYoH2jaBtQy9utIY2uhkkOpXrobjKHxV6Jue4e0GiU9keiq/NgcIQ66EoUtc1aA0DJkCLPhDhQU/yiBhzqNQBExQkivhT42S48yy4pM/J4cfdYbOaowbdf755MpaCxOChnokhpn4r85J7EPaug6P7zIu9zIdgW5Q5X0ZyY3Monfj6gatXRES8a+bMmTz++OPExcXRunVrmjRpwuTJk/2y7wO/g8PunW1ZIyBrm4/njxI5oWIPxXO7w3/mKUisKVc9FI/kBV+QmF9kBomuAkMDyCuElduDp16pG1oPMnv5H8/Ba93fWvWHpEbe2VZdlxADV/SDtxZ4b5uRVrhqQHD06kuKNeccumpA9UGi01ldAQskxfi0tBqJiYQm9eDsbtUHiU7OQHH5VrM3qoiElsgYaDfcfD/dvxEObzfbRSueqBqXaraN1m9pDgNuUwu4SEDYrObJWoPbmyc1rdkJOw+bJ6U6ynwWTo41569u3dAMEhOC8HOHKEwMWQlp5pClYJ5hv+Qd82ffq8yzc4Lhi4qIiHjX1q1bmTRpErNmzSIpKYn+/fszaNAgxo4di8Ph4Mknn6R58+ZubcvhcHD48GGP9l+YVw8o3+pScW7EiJjyPysqPm7+NBwGOYfziT103KMaRGoqArimt433libz81aDpGgH1/Q9St5RgxqOlFTnDWwGx4/H8eJ3MRTbLZzbOZc2yYUcOhToykzr90XhcCRQ2WAsRSWwaGMRbZKP+rewIJGamorVW93NxW22SOh+ISz78MQJoZUEinlZsHSq+bMq9Vtq3idv694cRnSCueurXm9vDrww0/xZGQswdhDUi/dqiTWWngLjh3h+u7O6eL0Ur4iOqNn9advIvIhI6LJFQkYX8wLme+pP75uvu6ddY/5dRIKH1QKdMswLQIkdnv3G/P2uURp6PFQoTAwDFgtYrOYbZqRSexGRsPXxxx8zceJEkpKSAIiMjGThwoU89dRT2O123nrrLbd7KR4+fJi0tDSP9j/1wW00qndyXJjIWBh2q+t1B010vXz+y2agWFhYyNP/eIb3vn/MoxpEaiMiOo7LH1lIw5Y9Wfr9O9x/YSUHqritVY/zOP/uT7HaIrnuinPZ89vCQJdUqsPAqzlj4utERlfeir902Ur+fF7dTGIOHjxIgwYNAl1GnZSQBr2vgBXToKQQl4GivdjsaVGV+q2g2wVgVe8qr3P2vp673vye7SrzLSqB7ZWEvRaLebvrBkPXZj4qUkREStkiT07JoSBRJPhF2Mxei6AgMZQoTBQREQkR+fn5JCYmAjB37lw2bdpE586dycjIwDAM9u7d6/a2UlNTOXjwoEf73/B5CgVlho8pPm6Gg2VFxJhB4qL/QknBqdtw9kyMjonmgYfv4fkPbvOoBpGaKiqBj1YkU1QC+45B35HjmTD2Ks7smKcRHWro9wOR/N/qJEa0y+P7jZGM++t8xvbNoWGil8ZDrqXDeVbeXBJLQSXzIlotBped1ZWXbvXstTBcpKamBrqEOi2pEQwYD+u/g0NbqDyxqujEiaRth0DzXubv4n0WC1zYC1o2gI9/MudadfPhwQAyUuDagWZPQBERERGRcKAwUUREJESMHTuWSy+9lBkzZtCiRQu6d+9Oeno6e/bsweFwkJ6e7va2rFarxz1SUpuaQ3kZjpPLiisZpbSkoPK/AWBYaNQygdQGHszCLVJDhSXw+lzACjeMgL99ATcMt/LmglhiYmO5uLeGiPfU2l3wyRq4/DTIbJLA9xuhd0sr7/9cj1vPgIwgmA+1QQPI2AhbD5nTAVQUHWnhrB5xJMXG+b84ESA6AbpfDIc2w46f4chOc7nFWv691plQWSPM4dya94G4lAAUXAd1b24Oh/nDRlj0G+QWmg+HxXJynh9rmd8bJcOwjnBa65Nn24uIiIiIhAOFiSIiIiGiXbt2rFmzBjCHPF29ejXXX389Dz30EA6Hg7/97W8+3X+znrDnF+9sKzoB6mnYL/EDZ5BYbIebTwf7iQb6hklw20h4aZZ5XYGi+9bugrcXwmV9oV8byD3RC3lUV4iMgJdnEzSB4sRh8OJ3cPQ4FBSby2xWiIqAcYMgKbbq24v4msUCaW3NS/4RyN4FR/fDsQOQswdSmkG9pmZPxnrNISIq0BXXPfHRcE43c97ATfth52HYfQQO55rDnHbMgE7p0DINmtbTe4mIiIiIhCeFieI3CbYIEm02jtmDY+irshJtNhJsejqISOhYs2YNvXr1onnz5rz99tt+2WdiQ0hsBMf21247VpvZq0KNbeJrFYPE2KiTwRdA42QFip6qGCSWZbGcnGcsWALF+Gi47zxYuxsW/ga/7YPhHWFEJ0jQXOMSZOLqmZeMrpCzF5a9D+2GQrL7Aw+ID9ms0CHdvABsOwRTvjVDxpaaflRERKoRzO2i4N220agIiI6EwmKvbM7roiPNGkWqouP4VHraiN+kREayecgIcu2VTFwTQAm2CFIiNduriISOJ554IiD7bdEX1n5dYfi1GsjI9E49IlX5cHH5INGVsoFi/QRzeDpxbV9O5UGiU9lA8dU58NAFEBPgj1g2K3RrBq3T4OH/U5AoIiIiIv4XzO2i4N220bgomHyROW99MIqKMGsUqYqO41MpTBS/SomMVGgnIhLCGnWAQ1tg/0YwanBCpcUC3S6AiGjv1yZS0XndzdCosiDRqXEy3HGmhrysTqMkuP1MaF6/6vWcgWLPFoEPEkVEREREgkVdaheNi1JgJ6FPx3F5ChNFRETEbRYLdB4FJYWQte3UQLH4OMx/2fzp6radzoYGlfRoEvG2tCT3123owbp1lcVSfZBYk3VFREREREREJLhZA12AiIiIhBarDbpfBM17gcUK1gqnJlUMEi02iIyDHpdoeFMREZFQZLOac5AGg/hosx6RUBJuz6EIi4X6QdK7qn5kJBGa9FpERMTn1DNRREREPGaxQLth0OI02Psr7PgZCvPAagWH3QwQDTukNIXmfaBBa/NvIiIiEnpsVnj8ErDXcs5kb9WiMFFCTbg9hyKtVnYMPZ0Sw/BOUbUQYbEQqS8aIiIiPqcwUURERGosKhZa9DUDw2MHIP8I/DoDup4PiQ0hNjnQFYqIiIg3KMQTqZ1wew5FWq0ER99EERER8QeFiSIiIlJrFgskNYKYRPN6ShOIigtsTSIiIiIiIiIiIlJ7YXROlIiIiIiIiIiIiIiIiIh4k8JEEREREREREREREREREXFJYaKIiIiIiIiIiIiIiIiIuKQwUURERERERERERERERERcUpgoIiIiIiIiIiIiIiIiIi4pTBQRERERERERERERERERlxQmioiIiIiIiIiIiIiIiIhLChNFRERERERERERERERExCWFiSIiIiIiIiIiIiIiIiLiksJEEREREREREREREREREXFJYaKIiIiIiIiIiIiIiIiIuKQwUURERERERERERERERERcigh0ASIioSS7uJhce0mgy3ApwRZBSmRkoMsQEREREREREZEK6lKbUl26rxK+dByXpzBRRMRN2cXFtFkwl2N2e6BLcSnRZmPzkBH6QCQiIiIiIiIiEkTqUptSXbqvEr50HJ9Kw5yKiLgp114StG8gAMfs9qA9W0ZEREREREREpK6qS21Kdem+SvjScXwqhYkiIiIiIiIiIiIiIiIi4pLCRBERERERERERERERERFxSXMmikhQKC4AewlgQF4WxCSBTUOXhzzDgMJjJx/b4znmY2uxBLoyCTdPzYCcfP/sKzkO7j/fP/sKlB4/LmBPYYHf9pcRHcOqgUP8tj8REREREREREXGfwkQRCQjDAYe2wr71cHSvGTI5LX4LsEB8fUjJgIwukJSuACpUFOXDnl/h8DY4uh9KCk/+bdF/wBYFSY0gtaX52EbHB6pSCSc5+XC82E8781NoGUh7CgvILvHn2Pv+Cy5FRERERERERMQzChNFxK8MA3atgm1LzR5rla8IeYfMy+41kJAGbQZDWht/VSqeKsyDTT+YAbHhqHw9exEc2WletiyCRh2g7VCISfRfrSIiIiIiIiIiIiLiHoWJIuI3+Udg3UzI3u35bXMPwupPoXFn6DACImO9X5/UjGGYAeLG2eV7Ibp1W4d524Obzcc1vYt6oIqIiIiIiIiIiIgEE4WJIuIXR3bCqk/AXsthCPetg+xd0GsMxKV4pTSpBcOA3+bCzhW12469CNZ9Czl7oeNIsFi9U5+IiIiIiIiIiIiI1I6aa0XE57J3w8rptQ8SnQqOws8fmT8lcAwDfptT+yCxrN1rYP335rZFREREREREREREJPAUJooEWH4hfPsLOKqYY64qC3+D/TnercmbivLN4Ukd9urX7XK+eXFHYS6s/rzm/zepvb2/ws6V7q3ryWO75xfY5eZ2RURERETEPYYB+2rw3TEnH/KLvF+PN+zL8fxERLsDDgTpialH8qCgBifh1uRxFRER/9ufY7bl1oTDYbYh53k4xZCItyhMFAmw+RvhmzXw4RLPg7G562H6MvgiiIOXDbOguMC9dePrmRd3HdsP25fVrC6pnYJjsHGO++t7+tj+/gPkZ3tclkhIO3gU3lsERSXVr7s/x1y3xI0TNUREREQAlmyGZ76GdR7MYZ+dDy/Ngvd/9F1dNXXwmHl/vlzpfqBod5ifoV78LvgCUocDXp8L/57jWaC46Hf4xwzYuNd3tYmIiHd8ucpsy5273rPbORzw4U9mG/IPG31Smki1FCaGAYfdHD6ypMicb0w9tULLqC7QuyUs2+pZoDh3PXy+AprXh2sG+rTEGju0FQ7U8Gwbd21ZpOFOA+G3ud4bttYVRwlsnO277YvvFB83f9rdCMSkvPho8yz5/8yrOlDcn2M26sVFgU2f5EREwo7hOHlSVVF+QEuRSuQVnuwJFkon9vRuCW0awn9/cC9QzM6Hl2eZwdbonj4vz2Npieb36Tnr3QsUnUHi6h1wcW/zs1QwsVrh0r6w+4j7geKi32HaUujbGto19n2NIsGq4KjZLlpSZJ78LBKsrh5gtuV+vsL9QNEZJC7bYr6Xn9XFpyWKVCoi0AVIzZUUwo6fzWEGnY23y96HyDho3gua9YKIIPtwLKeyWuGaAebvy7aaP6/qby6vTNkg8Y+nB9+XICdvzqVXGcMBu9ZA28G+35eYCo7Bgd99v5+srZB/BOI86NEogXN0P2z4HvIOm9d/ehvS2kGH0yEiOqClhYy4aLj5dHh1jhko3jgcoip8UnMGiT2awyV9wGIJRKUiIuILDrv5/W7H8pMje6z+DFIyoPUgSG0e0PIEM0D8ejX8ugusJ96D/z0XBrYzQ624IP/MExUBNwyDN+abgeLEodC5iet1ywaJt46Exsn+rdVdZ3U1f369xvw5uqfrz0dlg8RrBkKfVv6r0RNtG8FNI072UPzD6RAT6XpdZ5B4Wmu4sv/JY1KkLjm8A7YtMX86Lfw31G8FrfpBStPA1SbiSlyU2Zb72hyzbRdgRKfK168YJF49QCcVS+Do0AtRhXnw03uw9aeTQaJTcT5sWWwGizqTNTQ4A0V3eiiGSpCYn22GQf6we7V7czKKd+xeDXg4L0lN7Vrln/1I7eTshRX/g6P7wH5iuKiSIti3Hpa+79terOHGGSgWFJ/aQ1FBooiIe0pKSnjggQdITU2lWbNmPP/887Rv3z7QZVXJYYeV/wdbfjS/wxnO7wIGZO82/7ZnbUBLrPO2HYLnvoFfdoLDgJITj1Gx3Zz76NlvINfN6R0CyRkoVtVDMVSCRKezusK53SrvoRgqQaKTM1CsqoeigkQR2LHC/B56eOepf8vaBss/ht1r/F6WSLWcgWJ1PRQVJEqwqVM9E6dPn86DDz7I7t276d27N0OHDmXRokXMnTs30KV5xDBg5XSzC79RSeBk2M0ePas+hb5Xq8ExFLjTQzFUgkSArC3+21fxcTPESKnkrNpg41i8BPs7U8sv3LsX64jh2O66PSA1eeKQHx/bQ1ug/Qj/7S9UzJw5k8cff5y4uDhat25NkyZNmDx5csDqWfet2Vu+IsNhvlftXgPNe/u/rqrsWjePvZuW0PeC+wH4/NnzufCeGQGuyuSqh+KRvOAOEh0LFmKsMCfwNfbshZRkIh64L8BViUhddd9997F+/Xq2bNlCbm4u/fv357TTTgt0WVXauhhydld+gpxhh/Xfmb0UNWqD/xXbzVCnuJLHx+6AnOMw9Ufze1qwc9VD0dmrMrfAnB8xVIJEp4o9FLs2M386QixIdKqqh6KCRKmNcGkbPbjZnH4FcH2y84ll67+HmGSo38JflflWqLcneSLc72t1PRQVJIaHcDuO60yYOHXqVO677z7+97//MXDgQN59910mTpzInXfeGejSPJa1DXIPUW3PIMMBR/eaZ7LWU7f+kFBVoBhKQSKYQx76e3+hEiZaB/THOqB/6XXHho3YJz+O9aoxAazKPY6SE68/fpJ/xOzhpiGbT9q6dSuTJk1i1qxZJCUl0b9/fzIzM7niiivo2rUrDz/8sFvbcTgcHD58uNb1FB6zUnA0hcoGO3CUwLblduJaHKn1vqpiGKmV1uD9fTk4dKj2/7vqjOlh4YPlSUyZCUfybWQ2LmRoyzyysny+a4zqJh2qwDpkMAwZjJF1GPuUf2K74zaP93fokH9eXPKLLEB9Dh/OoiDKT92sw1yo/E9DpU5/SU1NxVrVuPohas+ePbzxxhts2rSJlJQUUlJSGDRoEO3bt6ewsJBhw4bx66+/smrVKtq2bRvocoETw5uucG+kjZ0roMMZvq9Jylu53QwMq2J3wG/7ICsX6if4p67aqBgont/DXD59mXlfQilIdCobKOacGMHpm19g077QChKdXAWKP29TkCg1F05to5sX4t6ISQZs/TF8wsRQbk/yVF24r5UFigoSw0e4Hcd1IkwsKCjg7rvv5s0332TQoEEAjBs3jptuuomePc1ZxIcMGcL69eu57bbbePTRRwNYbfU8mofOYs6pqDAxdLgKFNNT4IuVoRMkAhw7EN778xYjNxf73/+B7a7bsTRqFOhyqpWbVXmPaJ/t84DmOSjr448/ZuLEiSQlJQEQGRnJZZddxoUXXsjUqVOrufVJhw8fJi0trdb1dGjWlycmfk1yfINK1zm474hX9lWVP/z7MDHxnnXV2PLzZxw9tA2AvCN73L5ddk6Oz++PU6PWfbl80iJsEVZuvqg9uUd2+WW/Ef/3MZbERI9uY+TlY3/xX9juvA1LfLxHt83Ozvbb/zQmoT5/eO0QHTp0oCDXD8lsHRAq/9NQqdNfDh48SIMGlb92h6rZs2fTp0+fcq8pWVlZZGZmEhkZyeeff85993neczo3N5e1a30zzmhJdiL2kg6Arcr1DDvs/LWY7AQ/TEwu5czZ3ZEie/XJmgU7MxbtomPKPj9U5R3d4yzkRHfgixWJgJX8gmJGNl3P9g3H2R7o4mogGeiamsHP28yuib/vM+jfaDP2A1n8FKLfGYc0TmTeng789ZNi8kpiaJlwkNaWLSxbGujKQldmZiYJCSGQ+ntROLWNHt0PuQfdXz97N+QdhvhU39UUCKHWnlQb4XxfKwaKhgP2HlWQGI7C4TiuE2HiggULKCwsZPTo0aXLjh49SlFRUekb5gcffMDs2bPZtm1bjfZx5ZVXsnHjRm+UW61Jl3xPYqybX/wNWL98F9dNGl39uhJcLFY6nvNXlnEuAEf3/soH/7qZ9x7IDXBh7nno4pmkxJ36wtjlfKisvT/uxAe7fmMr327eEfi1wkiEDsPB99/M59oH/lTDat1TnJwED93v1W3an5uCdWD5s1Rq4+yzzyYy56hXtuVKu8b9uOmM105ZXtXjCjV/bAFu/eNdrNs938NKXevQoQMfffSRV7YVKPn5+SSeCHnmzp3Lpk2baNKkicfvX6mpqRw86ME3sEoUH7ew4dN6pXMlutK4WbJX9lWVZ2cnU1BS/Xplte59UblhTt2Vkuz7+wNwKNfGe8uSaVW/kF/3RvLoe1u4uk8OkVW3NXtFpzUryLG7PxmtUVyM/bkXsF0/HksNwomUlBTW++F/CmbvtOfnwsaNG4lT7zSvCJX/aajU6S+pqWHWonZCVlZWuSDxwIEDLF68mBdeeAGr1UqjGn5xX7t2Lf37e+fzWkUDOo/m/qumEheTVO26BXlFnOmjOqRyVz6+jEat+1S7XlGxg1de+y9LP/urH6rynqSGrRn71K9ERMWy6PPneObjBwJdUq1YrDbGPbOBlEZt2b1xEVddOyTQJdXa4Kufofe59wDw7ENXsHttaA1JGWyWLFlCv379Al2GX4VT22if1qO5uO+DREXEuLV+sb2QWyY8zJods3xcWTV1eLlNydvtSeC9NqW6dF+9xRadQLfLXuULugCwf93XPP/cJJ433P9eHmp6jf0QgJ4PXRXgSlwL1+O4Nm2jdSJMPHDgwClnu0+dOpXY2Fg6duwIQLNmzQJRWo1YLJ6djmC1+qHVUbzPcJC7fwONOpth4vHsndiL8gNclPss+He8FU+fF8HA/ulnkJWF1csBZbixBNvkcAE2duxYLr30UmbMmEGLFi3o3r17jbZjtVq91iNlT2M4ssP132yR0GZgpM97v/jzMLFYvPe/q8z+HHj/Z+jVEs7qEsuvn4CdSD75pQE3DjeHJvMlT593jnenwsGDOD7/wlxQvz62a6/2aH/+6iGVW2D+TE2tT4J77Q9SjVD5n4ZKnVI77du35+mnn2bv3r1YLBYmTJhAUVERHTp0qNV2MzMzWbJkiZeqLM9+NJ78XxLAjdEfYhMjfFaHVO6Hva3ZnWdANd9xoiKt3HHzeNref55/CvOC/JJI5uzuRKE9gtiIfPqN/gv33HQRGfE5gS6tRhwGLN7flh25qTSMyYEOg3l1xm561N8ZdHNOu2tTTkOWHWxF/ehjZBUmMnHyl5zZdD2R1vBtYPa1zMzMQJfgd+HUNmqxeNjOadTgNkGuLrUn1ZX7ai/K5/iRHSSlm2Fi7oGN5rAUEhbC5TiuE2Fi586d2bZtG7Nnz2bo0KF88cUXPPLII3Tt2hWbzTtvJv7s6bL0fXMuRHe17pjOypUrfVeQ+IRzjsQIK0TYoFGnczj/3HNK51AMdj++CfkuphRz1fPMydlr7af3PNuX1WLljDOHcecU3x7nuwqO03rBPK9sy/Hbbzg+mkbEP5/HEuG9l+KZM2fSNCbWa9urKGcPLPvg1OVVPa5Q88cW4J8vvUBqmMxv4A3t2rVjzZo1gDnk6erVq9mzZw8PPfQQv//+O126dOGiiy7ya02Z58DSqVB8vPwwuLZISG0OjWrXfusTTTsPp2nn4aXXL7ynmoPYj/bnwEuzoEdzuKQP5BWayycMgXcXwX/m4ZdA0RO2iRMCXYKICGCenXvmmWfSvn17WrduzZgxY9i+fTtRUbWbJyAhIcFnvVgMAxZugcJjVa9njYBWfaNpVcd60wSDxN3w1gIorq5Nz2LjomGtiY9u7Ze6ais7H16eBdjgT6MgNT6SN+bDwv0dmTgUOofInPROdge8twh25sK1A6FPq2S++wW+XpNBRnoGo3v69wQ0b1j0OyzbZM6ROKBtIi9+B3n2eH4+2oc/nA4xkYGuUEJFOLWNHt4BK6bh3pyJQGRENC+++hTJ6U/5tK7qeKtNyVftSeC9NqW6dF+9oewciTGR5vtZm+F386c/3c2IToGuznee+dr8+d8gzS10HJ8qBCKJ2uvZsyeTJ0/miiuuID09nVmzZjFkyBB69eoV6NJqpGkPcLcTlsUKTXv6tBzxAWeQ2Lw+pCVCarw5TvayrfDhEvNNJtgl+HkKHn/vrzaMvDzsTzxlzisWYmNkx9f3/z5D6bH1tzVr1tCrVy8yMjJ4//33Wbp0qd+DRICYROg/zny/iTzxGSY2GTqcDt0uCr1Gm0CqGCSW/d/FRsHNp0NBsRkoFnk4rKuISF1gtVp55513OHbsGKtXr6ZevXpB3wPFYoHWA6C6AWUsFmjS1T81SXkdMyAlDqxVfKaJtJmBT3y0/+qqDWeQWFAMt46ExsnmiUo3DIM2DeG/P8C63YGu0n3OIHH1DrhmIPRpZS4/qyuc2w3mrIcvV5rhfahY9DtMW2oeV1f2P/m58KJesPsI/HuO+fiJuCOc2kbrNYNoD6Zoj02BpMY+K8evQrk9yVN15b6WDRJ7tzTbgBskmG3Cn68w24gldIXbcVwnwkSASZMmcejQIQ4dOsSrr77K5s2bS8cEDzWNOkBENNWNsAIWiIqDtDb+qEq8pWyQ+MfTzV6IFgtcMyC0AkV/f1BLDKEPho4vZsChQ9jffZ/iP95Weil5fkqgS6tWRDTEVTE3ordFJ0CUB18S6ponnniCyy67LNBlAObj1GEEDDjRQa3vNZDRVUGiJw4crTxIdIqLLh8olmjUExGRKm3cuLFcmHjRRRfx3Xffcd111zFt2rQAVlZeRlfzpBxXgaLFZvb273W5PhcFitUCt5wBSbG4nLs40mYGcJdWP61iUHAVJDqFYqBYWZDoFIqBYsUgsWyQ3TQVbhqhQFE8Fy5toxYLtDjNvY4WFiu07Bc+30tDuT3JU3XhvlYMEq8eYB6rVqvZJqxAMfSF23EcRANk+U9RUREbN24s94Z53XXXsXz5co4fP87ChQuZNSuwk/JWxRYBPS+Fnz8Gewmuu/VbzC+cPS+t/gxXCR4Vg8S4MqMxWa1moAhmoAgE9ZCnqc39ty+rDZJDKEy0XXUFtquuCHQZNZbaHPKP+G9fInVFQgyc3hmGd6z6y64zUFy6BWxB+h4gIhIsNm7cyMSJE0uvf/bZZ4ErpgoWC7QfDg1aw/ZlkLUNMMzvdE17QLOeEJMU2BrrunrxcN95sGQTzNsAOcfN5U3rme/fPZoH73ezsqoKEp2cgeIb881AMZiHPK0uSHQ660Sv3q/N2QKCesjTqoJEp7aNzEDx9blmoKghT8VTod422qwnHN0D+38rP9VGWRYrpGdCRhf/1uZLod6e5Ilwv6+ugsSy3+/josy24dfmmG3FQFgPeRquwu04rpNh4oYNGwDo2vXkGDHvvPNOoMqpkaTGZq+P3+aYY4U7WW3gsEP9lubwcv7sQSS1U1WQ6BRKgWJiI/NybL/v99W484neuuIXTbrDrtV+2lcP/+xHJBjERbn/5SAuGobri4SISLVmzpwZ6BI8ktrcvGTvgeUfQK8xkJwe6KrEKTYKRnQ2L3bHid4DQRpIueJOkOgUCoGiu0GiUygEiu4EiU4KFKU2Qr1t1GKBzPMgIQ22LQN70clQ0WKBiBho1R+a9Qq+57lIdUGikwJFCTZ1Mkzs1q0bxcWhPw5EQgPzy2V+Niz/CDCgVT9o0Macq0pChztBolOoBIoWCzTrAeu+9f2+mvbw/T7kpMSGkNwEcnw85FFCmhrPREREpG5Sw2fwC8XRAbYfgsKS6oNEp7KB4qodwRcmZufDloPuBYlOzkBx2VY4s4sZEAcLhwNWbncvSHRyBopvLYB9OdBS882Lm8KhbdRiMYcwbd4HDm2BDSc6UnY6E+q3Dr52MhFwP0h0UqAowaROhonhJi7FnBsRzDNuJLQs/M39INGpYqBos5pfNoJN40zYucq3vRMzukBS6M9fG3I6jICl7+N6mGVv7eMMNaSJiIiIiHhL9+bQMR2iPei95gwUgzE8rZ8AD4327P6AGSgO6+j57XzNaoWbhkOEzbMer20bwaQLg+/+iPiL1QYN28GWxeb1tLaBrUekKtOWuR8kOlUMFCNtMLi9z0sVOUUQfhwUqVvaNITMJu4HiU7OQPG01tC1qe/qqw2rFTLPcW9SbIC8I+bFXdEJ0H5EzWqT2klqDC1Pc399Tx/bZr2gXpAe1yIiIiIioaomgVNURHCGiVDzAC1Yg7eoiJoNnRus90dERMrr0sRsy3U3SHRyBoqZTcy2ZJFAUM9EkQBLT4Ebh9fstlar+eYTzBIaQMczYb0bw53+OsP97Vpt0HW05koMpNYDIGcvHNlR/bqePLbJGdB2SM3rEhERERERERERCTaZTc1LTcRF1bwNWcQbgvTcMhEJJ026mkNWeos1AnpcAilBNmdHXWONgO4XQb1m3ttmUrr52Np0Zq2IiIiIiIiIiIhIUFCYKCJ+0awndL8YImNrt534+tDnKkht4Z26pHYioszwzxvztTbpDr0vh8iY2m9LRERERERERERERLxDw5yKiN+ktYGB18Nv82DvOsBw/7bWCGjRB1r1N3+X4GGLhA6nQ8P2sOF7yMvy7PaxKdDpTAXEUjvJcUC+H/cV5jKiY4ACP+9PRERERERERESCkZrkRcSvImMh8xxoMwh2rzFDxYKjlaxsMedczOgK6Z3VYy3Y1WsK/cfDkZ2waxVkbQV7set1rZFQvwU07WGGiBaLHwuVsHT/+YGuILysGqiJS0VERERERERExKQwUUQCIiYJ2gw2L0XH4dh+WPet+bc2gyCuHiSmgS0qsHWKZywWSG1uXgwDjmfDsQNmb1SAdsMgsaH5+CpAFBEREREREREREQl+ChNFJOCiYqF+y5PzKWZ0CWg54iUWixkaxtWDrT+Zyxp3DGxNIiIiIiIiIiIiIuIZa6ALEBEREREREREREREREZHgpDBRRERERERERERERERERFxSmCgiIiIiIiIiIiIiIiIiLilMFBFxU4ItgkSbLdBlVCrRZiPBpqlwRURERERERESCSV1qU6pL91XCl47jU+lZIyLippTISDYPGUGuvSTQpbiUYIsgJTIy0GWIiIiIiIiIiEgZdalNqS7dVwlfOo5PpTBRRMQDKZGR+sAhIiIiIiIiIiIeqUttSnXpvkr40nFcnoY5FRERERERERERERERERGXFCaKiIiIiIiIiIiIiIiIiEsKE0VERERERERERERERETEJYWJIiIiIiIiIiIiIiIiIuKSwkQRERERERERERERERERcSki0AWIiIiI1NZTMyAn3z/7So6D+8/3z74kfPT4cQF7Cgv8sq+M6BhWDRzil31J9fT6JCIiIiIiIqFOYaKIiIiEvJx8OF7sp535KRSQ8LKnsIDskhI/7c0/oaW4R69PIiIiIiIiEuo0zKmIiIiIiIiIiIiIiIiIuKSeiSIiIiIiErYOHYP1eyD7RK+9Rb9ByzRo1xislsDWJiIiIiIiIhIKFCaKiIiIiEhYcThg3R6YtwE274cIGzgM82/frwPDAQkxMLwTnNYa4qMDW6+IiIiIiIhIMFOYKCIiIiIiYeNIHrwyGw7ngd1hLiu2n/x7yYnfc47DV6thxioYNwi6N/d7qSIiIiIiIiIhQXMmioiIiIhIWDhwFJ75GrJyTwaJVSmxm+u9s9Ac/lRERERERERETqWeiSIiIiJBoLAEVm03h1y0VDOPm3Pdfm38U1uo2rAX6sdDWlL1667fAw0SIS3R93WFqhI7LNsK/dtUf4wW2+HnreYxWt263nKsAF6eBQXFJ4c0LcsCxEVDfiFU/LPDgP9bDkmx0LWZP6oVCT3FDgclhosnl59FWCxEWmt/XrTd4d5JB75ms5oXEREREZFgpjBRREREJAgczoXPV5g9qs7pVnkAU1gCr881w5peLSHS5tcyQ8ra3bBmB9w2supAce0ueHshXNlfYWJVsvPNYUH3ZsPFvSs/Rovt8OYP5vo9WkBMpH/q+3o15Ba6DhLBDBKfuAwemg55haf+3WHAB4vhrxnmHIsiclKxw0HzH+aQVVwc6FKoHxnJjqGn1ypQtDtg0ieuXwv8LT4aHr9EgaKIiIiIBDd9XBUREZFaKymErUvgp/fM6yunw4FNEAQdGEJGegrcfAYs/A2+WeP6f1c2SLz5dAWJ1bm4N2Q2gZdmwcGjrtdxBomX9YXeLf1aXshpkGgGsyu2w6c/uz5GywaJt57hvyCxoBiWbal9L6NiO6ze6Z2aRMJJiWEERZAIkFVcXOseknZHcASJYNYRDD0kRURERESqojBRREREaqUoH5a8A1sWQ+Exc9mxA7D2a1g3U4GiJ5qlVh4oFlUIEmOjAldnqLBa4LLTKg8UywaJGjLWPY2TKw8UKwaJCTH+q2v5VsxxTGupxAHz1td+OyIiIiIiIiLhRGGiiIhIiJk5cyYDBw5k5MiR3HTTTTz22GMBrWfdTCg4Boa9/HJ7ERz4HQ5tDkxdoaqyQPHdRQoSa6JioHjoROC9Ya+CxJqqLFD8cHFggkSAHzaYczp6w67DsD/HO9sSERERERERCQeaM1H8Kr/I7FkRbKIiIE4NsyISArZu3cqkSZOYNWsWSUlJ9O/fn9GjR3PjjTeSk5PD448/TseOHf1WT9FxyN4NVNL70F4EW3+CtLZ+K8ktu9bNY++mJfS94H4APn/2fC68Z0aAqzrJGSi+OhuOF5nLSuxw60gFiTXhDBRZCv/9wVz20RK4/LTgDBIdCxZirFgJgLFnL6QkE/HAfQGuqjxnoPjSLCg8MfJhznG4/Uz/B4kAR/K9t60Imzl3aaNk723TXcH+2iQiIiIiNRes7aKgtlERqZ7CRPGb/CJ47LOTDU7BJDoSJl+kN00RCX4ff/wxEydOJCkpCYDIyEh69erF6NGjWb16Nd99951bYaLD4eDw4cO1rifvYAQGSVQ12EHeYQeHDtV+X1UxjNQqa/Duvnx/fwBigcu623hveQpg4YLMw+QddZDn8z2HrxGtYc/hJI4VRNGvZR5tko9z6JB/9m14MN6vdchgGDIYI+sw9in/xHbHbR7v65Af7lgEcGUPG2/+lAJYuLjLYQpyHRTk+nzX5RgGFNsblFtmAeKiy6/n/JxX2ee9/ELneREGB7JyaRjtnQnVgvX1KTU1FatVA9WIiIiI+EMwt4uC2kZFpHoKE8VvikqC9w2zsNisT2+YIhLs8vPzSUxMBGDu3Lls2rSJJk2aYBgGr7/+Og8//LBb2zl8+DBpaWm1rie9fmteun0pSfH1K11n155tnJ7m2+5ff/j3YWLi63l0my0/f8bRQ9sAyDuyx+3bZefkeOV/V52I6DguvOdrYpPSqN+kMxMfeJOFH97r8/2Gs1Y9zuPcO6YREQXfrTjKTRcPJXv/Jr/sO+L/PsZy4rnrDiMvH/uL/8J2521Y4uM92ld2drZfjlFbZDTn3/kJKY3bk9K4Lbf+9X/Meetmn+/XldveLsIWEVl6PS4anrjM9boPXVDJ8umQV2i+zk68fixbfv7cK7V5+vpU09cm8Oz16eDBgzRo0KD6FUVERESk1oK5XRTUNioi1VOYKCIiEkLGjh3LpZdeyowZM2jRogXdu3cH4P7772fChAmkp6e7tZ3U1FQOHjzolZrWfZJM0VHXf7NYDXqd1ZCDf/bOvirz7OxkCjwcLqZ174vKDSXorpTkZK/97ypTVAIfrUimxAFX9TrKvmPZxET8iTtvv4VhbfOxWHy6+7D0+4FI/m91Emd3yqVdWhbzNqXQ+KUNjO2bQ2q8w+f777RmBTl29yb1M4qLsT/3Arbrx2OpQdiTkpLCeh8foyV2mLYqiWMFVq7pk8Ph/GymR93ExAnXcWbHPL8fo8/PsZFfpnEmv9AMB8uKizKDxCe+MM8Mryj/REfE6Jg4pn34Ns3reWcMKk9fn2r62gSevT6lpqZ6tG0RERERERGpuxQmioiIhJB27dqxZs0awBzydPXq1fz3v/9l9uzZ5OTksGfPHi64oJJuN2VYrVav9Ujpcg6s+QxKKo4IaIHoRAsdBiYQEZ3glX1Vxp/BhcXivf+dK4Ul8PpcwAq3j4TYqPo0Axqnwauz44iLi+Ocbv69z6Fu7S74ZI1zjkSzd+DYDJi+FN7/OZXbRkJakm9rsHjwgDnenQoHD+L4/AtzQf362K692qN9+fIYLbbDmz9AfgncMQoSYurTAkhvCC/NiiUmNpaLe/v3GO3TGn78HUpO5MIGZi9DV/KLKv8bQGyUhe5tUrB5aQTQcHp9EhER37I7zLmePX3vsDvw2vuWiIiIiCsKE0VERELUmjVr6NWrF5dddhkTJ04MWB2pzaDbRbDhOyg6bs5VZhiQ0hQ6j4KI6Oq24H9NOw+naefhpdcvvGdG4IopwxkkFtvh5tMhtswQM81S4eYz4NXZ5nUFiu5ZuwveXgiX9YV+ZUbbtVrgstOApfDSLPwSKLrLNnFCoEuolDNIzM6HW8+AhJiTf2ucbP4fX5plXvdnoDi4PSzYWPvtRNhgaPvANcgG62uTiIj4nsMBby2Ahokwuqf776G7DsPbC2D8EGiqTuciIiLiIwoTRUREQtQTTzwR6BJKpTaDgRMhPxtKCiAmGaJiA11VaKkqSHRSoOiZyoJEp2AOFINRVUGiU6ACxYZJ0KohbDlQu+3Y7dC/nXdqEhER8YTVCs1T4WtzEBK3AsVdh+GV2ZAcC8lxvq9RRERE6i4NgiAiIiJeE5cCSY0VJNbEkTyIiqg8SHRyBoq7Dp8c0lFc+21/5UGikzNQ7NIUdh72X22hKCcfHEblQaKTM1A8cNQMyf3l/O7m41lTEVYY1N5skBUJlGMHYe1MWDHNvL76c9i+HIoLAluXiPjHWV3h3G4wZz18udIc7aMyZYPEW0ZCYhXvzSIiIiK1pZ6JIiIiIkGgcTL8YYR76zZLhZvcXLcuu7i3e+tZLeZ8ilK1Bolm2O2OxsnwRzfX9ZbWDeGq/vDhEjP0rCi/EB6abv6sKMIKbRu5f8yI+MK2ZbB5IWCAceJkkaJcc9m2JdD7SkjQlJgiYe+srubPqnooKkgUERERf1PPRBERERERCQt9W8M1A82AuGIvRQPIKzR/lmWzmj1TbxgWuLkSxbtKSkp44IEHSE1NpVmzZjz//PO0b98+0GVVaf9GMzQ07CeDRCdHidkz8eePQrOHorFnL8U334ZRVASAfcbX2P/1coCrqrmjB7cx/W/Dyy17866WAalFwldVPRQPHFWQKCIiIv6nnokiIiIiIhI2ereERkkwZx2s2mHOQVViL7+OzQoOB2TUgxGdzNto/tHwcd9997F+/Xq2bNlCbm4u/fv357TTgrf7sWHApgVmkFgVewnsWQstQqwHrSUjHevpI3BM/QDrBefj+OJLIqY8F+iyRIJexR6KXZuZPz9ZDvXiFCSKiIiIfylMFAkww4BdR8wh62piXw7UT4BIm3frEhEREQlVTVNh3GC4pACWboHVO8xeiXaHOSdps/owpL25noSXPXv28MYbb7Bp0yZSUlJISUlh0KBBtG/fnvnz53PfffcRERFB3759eeGFFwJdLgDHDkDhserXc5TArhWhFyYCWC+5CPuf/4J99RpsN1yPJS4u0CWJhISygeLeHPP3+GgFiSIioarYDoeOQXpKzW6/8zA0racTISUwFCaKBNjsdfDVahg7EHq19Oy2O7Lg1TnQoTGMH+KT8kRERERCVkIMnN7ZvEjdMHv2bPr06UNaWlrpsqysLDIzM2nbti3z588nOjqaa665hl9++YWuXbu6td3c3FzWrl3rk5pLslJw0Bao/uzA48fs/PTTcp/UUZVCw8VEpB6w2GxYevbA8e33WHr3qnU9y5YtI7oWrWglDgtQ896qB3esKjfUaX7OvhpvC2DZsqVEWGv3P5bwlQy0TWrB+j2NAchMWM+61UcDW1SIy8zMJCEhIdBliEgd9P6PsGEv3HIGNK/v2W1XbIP3fjSHwT6zi0/KE6mSwkSRAOvTCpZsNt8MwP1A0RkkGgYM7+Sz8kREREREQkZWVla5IPHAgQMsXryYF154gSZNmpQuj4iIwGZzf2iPtWvX0r9/f6/W6tSz7ek8Nv5zYqOrb9jOOXaEM31UR5Wiooic8VmNb27s3o3jp2VYhw/F8X+fYhtzWa3KGTZsGJyYg7EmbJEx3PbW8RrfPq15Dy57eF7p9drOmThs2DDsoTghpvhFWoseXHz/LLBkEZtQn39PX853r40LdFkhbcmSJfTr1y/QZYhIHTS8kxkmvjLbs0DRGSTWjzfniRcJBIWJIe7YAdi5AnIPAgbMewkatYdmPSEhrdqbSxBIiYPbRsJLs9wPFMsGiX88HVo28HmZPmMYcHQv7ChzHM9/GRp3gqY9IF7Dj4UsezHs31DmsQUWvwXNekF6J7BFBbY+ERERCT/t27fn6aefZu/evVgsFiZMmEBRUREdOnQoXWflypUcOnSIzp3d77KamZnJkiVLfFEyht1K7pJYcFSzosVB/dYOn9VRlULDYOSxIzW6rWEY2Kf8C9utf8TSri0ld/wJ65DBWNIb17ie+fPn17pn4rQtNb65182fP189E8Wlw4VxzN3dkdiIYoakb2T9kRIYPJaLzz+DHvV3api7GsrMzAx0CeIlJUWwb73ZNpqXZS5b8g407wWNOoItMrD1iVTUsoHZlvvaHPcDxbJB4m1nmm3JocrhgHV7YP4G2HMEDOCxT2FgO+jfBhJjA12hVEVhYogyHLBhNuxeDRYr5jMPKCmAPb/C7jXQvDe0G64xlEOBJ4FiOAWJDjus/cYMnMoex8XHYddq88Ng60HQqr+O41CTewhWTDMfS6NMw1heFmycDZsXQs/LIKlR4GqU8JIcB+T7cV8iHsqIjgH80+vE3JcEC70++dfZZ5/NmWeeSfv27WndujVjxoxh+/btREWZZzEdOHCAO+64g+nTp3u03YSEBJ/2YtlYYH63c9grX8disdLn7IYkpDX0WR2VOW63w5zvanRb4+uZWJo3w5pphre2P9yA/Z8vEfHk32pcT9++fYn1oGdpRUUlBFWY2LfvaUSpdUYq2HUYPp8N9RPhlpGRJMb0ZCTw3S/w9ZoMMtIzGN1T35Wl7jq6H1ZOh5LC8u0OuQdh/fewaSH0uhwSQrjdTMKTJ4FiOAWJuQXmfd6TbbZrO0+jOpIP3/4CM3+BcYOge/NAVilVqVMfV6dPn86DDz7I7t276d27N0OHDmXRokXMnTs30KV5bOMc2POL+btR4QxW5/WdK82Apt0w/9bmSy9ea+HOqSfP2Dx6cBvTnxjO9VO2Ba4oL3EnUAynINEwYO3XcOD3E9crHscnGlK2/AhWG7Ss+ZQm4mfHc2D5R+YHelycYG04oLgAfv4Y+o2FuHp+L1HC0P3nB7oCkaqtGqjJjesqvT75l9Vq5Z133uGdd94B4JVXXintgVJYWMjVV1/NlClTaNQouM5oajsEsneZJ165ChQtNnOdUBx9xnreOeWv9+yBtWePwBTjBUlpLcsNcQqExfdRCS67DpsNzMmxcMtISCxzntBZJ6Z6/XqN+VOBongiXNpG84+YbQr2YiptdyjKN9sm+o2F2GS/l+gT4dwuWte4EyiGU5BYVAIvz4IDx8Dh4jlbcqJd+O0FcNMI6JTh3/rEPdZAF+AvU6dO5c477+Stt94iNzeXiRMn8tRTT9GrV+0nf/e3vCzYterU8KUiwwHbl5kN+xIanIFi/QTzzWLFtpN/C6cgESBnD+zfWP1xjGH2Yiuq+ZQm4mdbfgR7ES4/0JcywFEMmxb4qyoRERGpizZu3FgaJr777rv88ssv/PnPf2b48OEsXrw4wNWdZIuEPldBkx7m79ZIc0h4i8088arLedCiT6CrFBF/qCpIdDqrK5zbDeashy9Xmu0EItUJp7bRTQvMNoXq2h3sRbAleN7uRcpxBopgvu7vyDr5t3AKEgF+2mwGifbq8gxg2lK9rwWrOhEmFhQUcPfdd/Paa68xaNAgLBYL48aNw2az0bNnT9auXcvgwYMZMmQIgwcPZtmyZYEuuUo7V50YEtINFps5XKSEjoqBYn6RefZGOAWJYA5h6u5xjAX2/urTcsRLigvM+QqqDYkxj+cDv0Nhnu/rEhERkbqpbJh44403sn//fubNm8e8efMYMGBAgKsrzxYJHUbA0Fugx8VmgHjaNTDgemjUPtDViYg/uBMkOilQFE+EU9toYZ7ZluDOMW84YN86s61CJBhVDBSLSsy24HAKEg0D5m2oPkh0OpIHm/b7tiapmToxzOmCBQsoLCxk9OjRpcuOHj1KUVERPXv2JC0tjRkzZpCSksK6deu44YYb+PHHHz3ax5VXXsnGjRu9XbpLD170NfXi091a17DDsu+3MubOS3xcVfWiEhoy4I/f1no77z/Yo/R3R0lRrbfnNGrUKIpyD3hte7UVldCQ7lf8B4ejGRgG9uI81ky/lW+f/CXQpXnFX8csICYywa11DTt8N20lr9x0vY+rktrq3GQYY4c8Q4Sbs5yXlBTxx2sns2rbTB9XZurQoQMfffSRX/YlIiIigTdzpn8+Y3iTLRJSNVeMSJ3jcMB7i9wLEp3KDnnaId28iLgSTm2jPVqezRX9HyPCFuXW+iUlxUy4/C+s3TXPt4VVI9jbRSH42kbrksTGXeh2+SscL4oHLBRk7+THV2/k/x4N/ccjOrEx/f/wjdvr2+3F3P/UB2yZP8V3RdVhtWkbrRNh4oEDB0hLKz+5xNSpU4mNjaVjx47YykzcHh0dXe56MIqKiPVs/cgQP32hgmv+vqr0d+fY4OGoKPcAm+Y8Q9dL/gkWCzuXvcuxveERJAJE2qI9Wj86Mt5HlYg3RUXGYhh2wL0w0WE4iI4Ir9coERERERERT1mtMGEoxEe7FyQ6ndUV2jSENsE1FawEmXBqG42OiMPhznBIJzgcdo/bUoNZXWkXrWuO7fuVnUvfoeXgWwH4fc7TYRPs2qI8a/ezWGzYwizPCBd1Ikzs3Lkz27ZtY/bs2QwdOpQvvviCRx55hK5du5Z7cywpKeHWW2/l4Ycf9ngf/uzpsugNOJ7t/vpNmzdi5cqVPqvHXdn58Oinga6ict9++21QdRt3zpHocEBsFFiH3Mrk+26lV8tAV+Yd816CEg+Gmcjs3p6VTwT+OJaqHdoKqz91b5hTgOioGB772yM06vCIbwsTEREREREJco2Ta3Y7BYlSnXBqG92/EX79yv12h6jIGJ5+7u80aP133xZWjWBvF4XgaxutS5xzJCbFQEExnHblS9xyBjSvH+jKau/ocZj0ifvrR0ZYue6ayznvmct9V5TUSJ2YM7Fnz55MnjyZK664gvT0dGbNmsWQIUPKTTDscDgYO3YsF154IaNGjQpgtdVL72zOhegOiw3SM31bj3ifM0g0DLj5DLhr1Mk5FFdsC3R13tG4owfHsRXSO/m2HvGOes3A6sEJjBYr1G/lu3pERERERERE6rpwahut3xIsFvfXt0ZCPQ0fLkHMGSTWj4e7zzbbgsGcQ3FHVkBL84qkWGiW6v76JQ7orudsUKoTYSLApEmTOHToEIcOHeLVV19l8+bN9OzZEwDDMLjhhhvo3r07N998c4ArrV6Tbu6ffYMB6V18Wo54Wdkg8Y+nmxPxpsTBbSPDK1Bs1tOcC9EdVhs06ujbesQ7bBHQpLsZElbHYjVPdohwb5oDEREREREREamhcGkbjYg22zrdbXdo0s1sqxAJRmWDxNvONNuAWzYw24QhfALF4Z3A6sZJAFYLNK0HTT0IH8V/6kyYWFZRUREbN24sfcP86quv+OCDD5g5cybDhw/nkksuCXCFVYtOgA4jgOqegBboeCZEhc+w4Nw51Sh3PSmtJddP2RaYYnzAVZDoFG6BYnx9aDXAvbPJMs8Fm3tT8EkQaD0AYpOr/mBvsZqvZW0G+68uEREREREREQn9ttE2g802heraHWKTzTaKcBHu7aJ1jasg0SncAsWezaFTBtiqes5i/v3qMHrOhps6eV7Ghg0bAOjatSsA559/PgUFHkzeFgSa9TLfFDfONa+X7eFlsZlPvo5nQoZ6JYaMqoJEJ2eg+NIs880GCOk5FFsPBGsEbFkIWCscx1azR2LmudCwXcBKlBqIiIY+V8HqzyBnj/lYOntTO39PSIMeF4fXyQ4iIiIiIiIioSDU20ajYqHv1bDqUzi233W7Q1Jj6H6R2UYhEmyqChKdnIHia3PMQDGU51C0WmHCEPj4J1i2FSKs5nCmYOYYFgskxsCNwyGjXiArlarUyTCxW7duFBcXB7qMWmvawxz6ce862L8BSgohMsZclt5Zb5ahxJ0g0SmcAkWLBVr1gyZdYc+vcOB3sBdBVBw07mzOq6geiaEpKs78YJ+zF3atgtyD5vGd0MB87UrO8GyOAxERERERERHxjnBoG41OgNOuNU9i3rUKcg+Z7QwJaSfaHdIDXaGIa+4EiU7hFChG2OCagTCqKyz8DTYfgBI71EuAgW2hc4YZOkrwqpNhYjiJjIHmvcyLhCZPgkSncAoUwQyeWp5mXiS8JKfrA7yIiIiIiIiIeJ/FAilNzItIKPAkSHQKp0ARoEEiXNQ70FVITSjrFQmwvdmeBYlOZedQ3HbIZ+WJiIiIiIiIiIiISC1tz/IsSHRyBooWi9mWLBII6pkoEmD92kCXphBfg2FpU+Lg7lEQF+X9ukRERERERERERETEOy7qBWd1qVk7cMsG8PAFNbutiDeoZ6JIEKjNm0B8tOaeExERERER34mwWKgfGRyTmdePjCSill+AbNbgaYiLjzbrERERkfBnsdS+HVgkUNQzUUREREREREQqFWm1smPo6ZQYRqBLIcJiIdJau/TNZoXHLwG7w0tF1bIWhYkiIiIiEuwUJoqIiIiIiIhIlSKtVoKjb6J3KMQTEREREXGfPjqLiIiIiIiIiIiIiIiIiEsKE0VERERERERERERERETEJYWJIiIiIiIiIiIiIiIiIuKSwkQRERERERERERERERERcUlhooiIiIiIiIiIiIiIiIi4pDBRRERERERERERERERERFxSmCgiIiIiIiIiIiIiIiIiLilMFL+JioDoyEBX4Vp0pFmfiIiIiIiIiIiIiDcFc7soqG1URKpnMQzDCHQRUnfkF0FRSaCrOFVUBMRFBboKERERERERERERCUfB2i4KahsVkeopTBQRERERERERERERERERlzTMqYiIiIiIiIiIiIiIiIi4pDBRRERERERERERERERERFxSmCgiIiIiIiIiIiIiIiIiLilMFBERERERERERERERERGXFCaKiIiIiIiIiIiIiIiIiEsKE0VERERERERERERERETEJYWJIiIiIiIiIiIiIiIiIuKSwkQRERERERERERERERERcUlhooiIiIiIiIiIiIiIiIi4pDBRRERERERERERERERERFxSmCgiIiIiIiIiIiIiIiIiLilMFBERERERERERERERERGXFCaKiIiIiIiIiIiIiIiIiEsKE0VERERERERERERERETEJYWJIiIiIiIiIiIiIiIiIuKSwkQRERERERERERERERERcUlhooiIiIiIiIiIiIiIiIi4pDBRRERERERERERERERERFxSmCgiIiIiIiIiIiIiIiIiLilMFBERERERERERERERERGXFCaKiIiIiIiIiIiIiIiIiEsKE0VERERERERERERERETEJYWJIiIiIiIiIiIiIiIiIuLS/wPaxxE1BZH8NgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -544,7 +544,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -554,7 +554,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -574,7 +574,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -584,7 +584,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] diff --git a/src/examples/3_dataset_and_fineTune.ipynb b/src/examples/3_dataset_and_fineTune.ipynb index c2f2ea5..e6dff68 100644 --- a/src/examples/3_dataset_and_fineTune.ipynb +++ b/src/examples/3_dataset_and_fineTune.ipynb @@ -160,7 +160,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "58844f4af0624bdf9521971d28caab1b", + "model_id": "972410b9c3ef47609cb75c4e07b34800", "version_major": 2, "version_minor": 0 }, @@ -175,15 +175,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "[INFO]: (generate_srv_tensors) Generated 64 tensors\n", - "Not valid error circuits: 1 out of 64\n" + "[INFO]: (generate_srv_tensors) Generated 512 tensors\n", + "Not valid error circuits: 14 out of 512\n" ] } ], "source": [ "g = 7.5 # guidance scale\n", "max_gates = 16 # how many time steps the tensor encoding has\n", - "samples = 64 # how many circuits to generate\n", + "samples = 512 # how many circuits to generate\n", "\n", "out_tensor = infer_srv.generate_srv_tensors(pipeline, prompt, samples, num_of_qubits, num_of_qubits, max_gates, g, no_bar=False) \n", "qc_list, error_cnt, srv_list = infer_srv.convert_tensors_to_srvs(out_tensor, pipeline.gate_pool) # may take a moment, has to compute partial traces over (2^9)x(2^9) density matrices\n", @@ -250,12 +250,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "59e391b1632d4846ac61146458d616de", + "model_id": "e886f8d8b16c46faaa383a9bc10c3755", "version_major": 2, "version_minor": 0 }, "text/plain": [ - " 0%| | 0/512 [00:00" + "
" ] }, "metadata": {}, @@ -457,16 +457,6 @@ "qc_Config_Dataset.plot_example()" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "32b2beb8-453c-4cfd-a791-ab66ee138683", - "metadata": {}, - "outputs": [], - "source": [ - "# qc_Config_Dataset.plot_distribution() #print the SRV distribution percentages" - ] - }, { "cell_type": "markdown", "id": "d426a6e6-3812-4d1b-a83f-ed936bd1ae1a", @@ -549,7 +539,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8ea2baa50c384ef2948a9cc59cc9fdb1", + "model_id": "4aaea36d169b48a39cffb3fd01656929", "version_major": 2, "version_minor": 0 }, @@ -564,7 +554,7 @@ "name": "stdout", "output_type": "stream", "text": [ - " - dataset size after balancing 511\n" + " - dataset size after balancing 100\n" ] } ], @@ -578,7 +568,7 @@ " balance_maxes=[1e8], # what the maximum prompt (y) balance limit is, can be used to balance SRVs for different qubit numbers \n", " pad_constant=pad_constant,\n", " device=device, \n", - " bucket_batch_size=-1, # if we use bucket padding\n", + " bucket_batch_size=-1, # if we use bucket padding\n", " max_samples=[1e8], # if we want to limit the sizes of the dataset_list \n", " **parameters)" ] @@ -599,7 +589,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -658,7 +648,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "99b1b9fa82a34db7b47d2f6d7cf47f65", + "model_id": "35718baaaca440a0998ed013da98507b", "version_major": 2, "version_minor": 0 }, @@ -673,7 +663,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "[INFO]: caching trying to allocate memory (148, 77, 512) on cuda approx. 0.023 GB\n", + "[INFO]: caching trying to allocate memory (47, 77, 512) on cuda approx. 0.007 GB\n", "[INFO]: Generated cache\n" ] } @@ -720,7 +710,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1366076f43b847c198cbc6001bded81f", + "model_id": "8677948b7c7b40a391a69827d8085a23", "version_major": 2, "version_minor": 0 }, @@ -734,12 +724,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f870cc28506748f7b3588403eea3cacc", + "model_id": "37751090453e45a7bc7f94318a3c8a92", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Epoch 0: 0%| | 0/29 [00:00" ] @@ -1516,7 +1506,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4f7c3d93660a4cc4ac8d360a1e7c274b", + "model_id": "f867dd42b162435b846be378925dccdf", "version_major": 2, "version_minor": 0 }, @@ -1531,15 +1521,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "[INFO]: (generate_srv_tensors) Generated 64 tensors\n", - "Not valid error circuits: 1 out of 64\n" + "[INFO]: (generate_srv_tensors) Generated 512 tensors\n", + "Not valid error circuits: 6 out of 512\n" ] } ], "source": [ "g = 7.5 # guidance scale\n", "max_gates = 16 # how many time steps the tensor encoding has\n", - "samples = 64 # how many circuits to generate\n", + "samples = 512 # how many circuits to generate\n", "\n", "tuned_pipeline.guidance_sample_mode = \"rescaled\"\n", "tuned_pipeline.scheduler.set_timesteps(20) \n", @@ -1559,27 +1549,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Accuracy on requested 9 qubit SRV=[2, 2, 2, 1, 1, 1, 1, 1, 2], with a model trained on 3 to 8 qubits qcs: 0.02 and with fine-tuning on 9 qubit qcs: 0.05\n" + "Accuracy on requested 9 qubit SRV=[2, 2, 2, 1, 1, 1, 1, 1, 2]: \n", + " - with a model trained only on 3 to 8 qubits qcs: 0.02 \n", + " - and with fine-tuning on 9 qubit qcs: 0.08\n" ] } ], "source": [ "tuned_acc = infer_srv.get_srv_accuracy(srv_list, srv)\n", - "print(f\"Accuracy on requested {len(srv)} qubit SRV={srv}, with a model trained on 3 to 8 qubits qcs: {acc:.2f} and with fine-tuning on 9 qubit qcs: {tuned_acc:.2f}\") " - ] - }, - { - "cell_type": "markdown", - "id": "2bf27dbd-73f2-4d27-8192-e1e3c1063f3e", - "metadata": {}, - "source": [ - "Note, we didn't fine-tune on a balanced dataset with all possible 9 qubit SRVs, just some random circuits (most, ~50%, of them will be the SRV with all 1s). So we don't expect a huge boost in accuracy." + "print(f\"Accuracy on requested {len(srv)} qubit SRV={srv}: \\n - with a model trained only on 3 to 8 qubits qcs: {acc:.2f} \\n - and with fine-tuning on 9 qubit qcs: {tuned_acc:.2f}\") " ] }, { "cell_type": "code", "execution_count": null, - "id": "3e4cc80a-e676-4c6d-aaf2-9fc141edc0d3", + "id": "0ff55537-157f-4508-ad51-b2450b40e534", "metadata": {}, "outputs": [], "source": [] @@ -1593,7 +1577,5633 @@ }, "widgets": { "application/vnd.jupyter.widget-state+json": { - "state": {}, + "state": { + "0029a4035b87412aa65a2f8910ad7a2d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "0041dc7875094d7cb1885f0961864470": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "00a761a634454b31b6e5bd327ebeea70": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0157f530118d422892ac49b3ef0cdff2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "022c143e8b6c46279d4172f30dafe5b7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "0251da0b88914dbcb9410fc86680777c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "02834ae55c094df0ab7908beef9832a7": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0290bc14915847ffb7c5d7f68a5aee41": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_27ca24878d094c6dbfb7f6ede6d48797", + "style": "IPY_MODEL_398ca14a15344a8a85d277b8efa3f3ae", + "value": "Epoch 8: 100%" + } + }, + "02d28f125c7b45959833ca9c040f9984": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "02e226c1dd6d4cc1b5ca6b90ed7331ad": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0360d321ccd24896aa5fb26509794c3a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0427f6154a0a4482b9a2e36701237da8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0436fdedf6b3494f96b4777296431a43": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "050b990f2bb74de8b52960da4b73c463": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "0581fae2faa44c40b40877fb616470ba": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "058654e768cb45e7be3048a0c9e3c0ff": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "05ac1249f9c645d781390d7261a6f5b9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_25583e7593604fed9a3076e9bb32a8e2", + "max": 6, + "style": "IPY_MODEL_6631db68be13423e87b39a35d1f24957", + "value": 6 + } + }, + "05ac865052a04e4e886c350aa43891d9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0600e4400227420d929758d7f52afb9c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_1b10b43254cf4b6ea605ccce925a8fe9", + "style": "IPY_MODEL_99ba826477cf4101b2d886ade6abe695", + "value": " 20/20 [00:02<00:00, 7.36it/s]" + } + }, + "06f9570317814ccb879ba2b8e2f53eb1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "08f90e1007834e3a8d36eb153a7280a5": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "093d888b7e5946078cc0300dc95a04ef": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "09c7ce2345c84ef4b138574a781e99cb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_84704c523fd94cd0adacb8bb50228675", + "style": "IPY_MODEL_b6e722054d024c91b693816ffdd8c089", + "value": " 1/1 [00:00<00:00, 37.01 batch/s, loss=0.0231, loss_valid=0.016]" + } + }, + "09df9879d50a4ea982f73d1286adfbf8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "09f196d9a353439c823bd007d4b04dcf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0a38693a216c49f9921ed128644c0604": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "0aee4b3b8a2d4ea9b33454f34fe58962": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0b1f7d86141e42c59f8b839e2362616f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "0b6dd11676774755ae3198d18af4a77b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0b7337027ae841d4bfd05518ab18e28c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_5f1b4f6e6ad44cc691b6709cb33d318b", + "style": "IPY_MODEL_d40446ed1ef54cbebc1fcc66cce870da", + "value": "Epoch 1: 100%" + } + }, + "0c12416b0785412c8e039e93ce8c4b41": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0c19309369174e32b12a358cde69aa26": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "0c37b7bd406c4c7eb26e8ee0710fef27": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_bb19b2ceac7647279708755c62050d0f", + "style": "IPY_MODEL_888b2e0dd0db42c8b5ef79d4896ddcc3", + "value": " 1/1 [00:00<00:00, 66.66it/s]" + } + }, + "0cb941353ba34c6ea7d499fb706305fb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_0cdfc5ab009a44db9c46d00f098d1425", + "style": "IPY_MODEL_ed23c1a9b28b45ecb3cf23ae5a9e5bb5", + "value": " 1/1 [00:00<00:00, 40.00 batch/s, loss=0.0222, loss_valid=0.0177]" + } + }, + "0cdfc5ab009a44db9c46d00f098d1425": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0e197a866a9b41c68ec809b4c68ba9e9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0ee441eaf792494986afe7c5bae174af": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0f04a445cf1c4442b8470d55cafed630": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0f33803357a14ba584293abc50de8b85": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_f33f08247c3b4810839103f1d32d0a5b", + "style": "IPY_MODEL_9a5b23294c0242f59acc4fdb9c9064cc", + "value": "100%" + } + }, + "0f33ec19eec045b2a3fa6ae7c5e8827e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0f5f64ce67f2422686b918eec674e553": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_0290bc14915847ffb7c5d7f68a5aee41", + "IPY_MODEL_61591054f2be41658a4444c524da51a5", + "IPY_MODEL_fda3feb01eca4d209a05fa500ff62bdb" + ], + "layout": "IPY_MODEL_0436fdedf6b3494f96b4777296431a43" + } + }, + "0f6970f819314f6db8bab5083fac2a0d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0f92db9e158046a89a8d3ce799e6ffda": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "0fd80d32cf0b471b950cb34a84667524": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "10ba0311bf7d462095b13f39030591b1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_7f9735c0724c47bfb16c9a69c923d8f0", + "style": "IPY_MODEL_f4ca390769604f36af41977d655d3b7b", + "value": " 6/6 [00:00<00:00, 23.29 batch/s, loss=0.0222]" + } + }, + "10ee1940d46140d88b6953334a6d60c0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_c11abb0c614d468e9673ef50fde73fe8", + "max": 1, + "style": "IPY_MODEL_c30e435445184201bb8956626662851f", + "value": 1 + } + }, + "1186b23107084541ae06992edb048ed3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_e5e6560202954da286cc328c2b6df0b2", + "style": "IPY_MODEL_5a585e844f4a46b2b1e22dff03daeb84", + "value": "Epoch 2: 100%" + } + }, + "11a8be3e48b54cc7aeed1757889d1bfe": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "11aabc1d2e6a473cad81cd22ec05ebfb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_d0a66f4dd39942ec83d7cbad55d17cf6", + "IPY_MODEL_3237f68ad4f048108e26b568c4df55e0", + "IPY_MODEL_612abca25e654a0cbda1f8c01d7581d3" + ], + "layout": "IPY_MODEL_2467fa051bfe409d94e4a2b50392e0d8" + } + }, + "12911119643d43bbbc36d365ec22c6a4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_9e52f2ccf83248f4b1de96932e9a5a38", + "style": "IPY_MODEL_3858ce195c7b40adb360e92bc5e7aaea", + "value": "Epoch 5: 100%" + } + }, + "12a51bfa3baf42c794183d3433f74fea": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "1352773692444da58067a04e7cd814ca": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "13d3804e5c7d42a2a7353e81e36f4295": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_91e4ea8a4faf491dbf7d89a1eea08ba5", + "style": "IPY_MODEL_cd0725a260564ecca168099ac39325d5", + "value": "Epoch 15: 100%" + } + }, + "13e99f23bb814ff9a6a4463b10aa9b9b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "142f440c019c4353b2508ae8041b515a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_e78398e8f88b46d3a70a168d93165c94", + "max": 1, + "style": "IPY_MODEL_5542eff67b28427eb438b35bd2b80f7e", + "value": 1 + } + }, + "14753c1059fc43cd84c6fe2d2edf37fa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "14a95eb4723e4c31bfbf3fc03b4b65c1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "157d9c588b194753817b6dbb9c28a6cb": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "160502c640ea4fddbcea0d37093d2ff9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "168df0daeacf4137b918169e55728e69": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1764417e1a224b74b6f758a04145a05b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "17a0fa0241904bd98f1216c6bb37837d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_3fcfa236453d4856a8e465b511dd6bc8", + "IPY_MODEL_26c21a17f72a4e2eb3e7ad4ac3a363d3", + "IPY_MODEL_603b269608034a839c4d508bc66fce3a" + ], + "layout": "IPY_MODEL_cc7e423d04364e72b263a583c0b8381e" + } + }, + "17c8e0419cd04be382d829f70177f33c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "17cbb829364146f1a6111a277aabe8b4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "182e53e4fc304600a4b4a5411a03435d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_6420e28c20a34f7ca18850ce6c949dae", + "style": "IPY_MODEL_df8d4459fc3a444fa038009c11cbbc54", + "value": "Epoch 10: 100%" + } + }, + "1863412441b946d0abb80c30f7e1f007": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "1894dd698e6d4320b0d9856926f291e3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "19e0d777034944e9817f831ae9118349": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "19f8565bad7e47eabaffbbd8e08abc42": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_fc4fc72915a74e9bad3a3a6a7c2e97a1", + "IPY_MODEL_860d5ade5bce49519ad4968501d98147", + "IPY_MODEL_b1a1112710e3481da12201bada938f03" + ], + "layout": "IPY_MODEL_1a20ce3ebca04e39bbe9a5a1bdd031c8" + } + }, + "1a20ce3ebca04e39bbe9a5a1bdd031c8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1ad631c2fcf64e4c806193b04d38ac48": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1af8aad24d8049f186983e379764c897": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1b10b43254cf4b6ea605ccce925a8fe9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1b2c4c07647549ac8f01e60a66aebcb1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_9ff62cf3a4db496a9f515acda86979d6", + "IPY_MODEL_aeaae4760f9b4bd0b08e22699d83dc90", + "IPY_MODEL_10ba0311bf7d462095b13f39030591b1" + ], + "layout": "IPY_MODEL_2e0f53d928014c4c9942fedba5616adf" + } + }, + "1b4ec200df30427cbd3aa24ca95b0826": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "1b6334bcedd14603870b62c89f2417e0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_d7cc67dec98f4122bf1d84aea06b8742", + "style": "IPY_MODEL_f83e92d156b04c18b75372ca42975645", + "value": " 6/6 [00:01<00:00, 6.24 batch/s, loss=0.0273]" + } + }, + "1b79184e63324bbb88c64188ea5543e8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1b84552c2238435b9c740d9b831479c4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_b28992e34f1a4ed18a1f243d17bebb22", + "IPY_MODEL_6a663aff8a6745d698b57fcb1d340f5f", + "IPY_MODEL_508774ecd39e492fae78fbc957902c4a" + ], + "layout": "IPY_MODEL_e4f669d85fe74b1f90d3f27aaaa44d5f" + } + }, + "1ba05aa4494749168d68cdbf9713f9d2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1cd7de91e4e54647a1d5a5807f874056": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_ba16dbc65d5a46c8bdaeb938354449f8", + "style": "IPY_MODEL_5fc8ffab811c411099316b8d797ca273", + "value": " 1/1 [00:00<00:00, 39.07 batch/s, loss=0.0256, loss_valid=0.0168]" + } + }, + "1d2134f6cb7a427dacd56870f4502c38": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c14ce60d56bf43bb9d1bcea8e08cedd9", + "style": "IPY_MODEL_fb16eb9659824ed4907df592b20812e5", + "value": "Epoch 24: 100%" + } + }, + "1d807491a6fe41cb817062e2ba6c02ef": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_439ad84a04584328ae0cf0e18ea6297e", + "style": "IPY_MODEL_98c95aa097b74b3ca8e4b789a6709ec3", + "value": " 6/6 [00:00<00:00, 23.51 batch/s, loss=0.0259]" + } + }, + "1e175ccbc22549888050d171687fdbaa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "1e19f3d16d8e43ae8735363e2076aed5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_be0b8310cabd4a23951badeb195a88ec", + "style": "IPY_MODEL_f66b0e0f1c89438db0904ef946cbb35c", + "value": " 6/6 [00:00<00:00, 23.30 batch/s, loss=0.0246]" + } + }, + "1e348829a6bd4b06b62beb218cfa42b2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "1e9f9a13577d4bfdb17dd02590e6708d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "1f2441ca404d4121b89db16a22582a0e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_02834ae55c094df0ab7908beef9832a7", + "style": "IPY_MODEL_09df9879d50a4ea982f73d1286adfbf8", + "value": " 20/20 [00:02<00:00, 7.61it/s]" + } + }, + "1f8455a29a1f491ba6af98e131ddca0d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_4a218f4b0dd0414d91bb5a5599c7c72a", + "style": "IPY_MODEL_cc2f4e0b03db4febaa9132485a058d22", + "value": "Epoch 24: 100%" + } + }, + "1ff6826ceb5c4de5bf381d08087179e2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "20b401893ab842a686c557357c9906d2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "2136b9adac99475ca6aa260edf2a54d5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_d92a18f818964e9a89b49df78f0ad543", + "IPY_MODEL_a405c26580dc48168366146de0d3221c", + "IPY_MODEL_7eebe6b2da0a4c63991eac0a83657aae" + ], + "layout": "IPY_MODEL_0ee441eaf792494986afe7c5bae174af" + } + }, + "218d1f5ada7f4bf68a10a50501584df9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "21923ea7de914eddbf6146ff58e29e29": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "21ac8e594cbe48f9ad9869e25cd850d8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_db0a8e29bbfe4eaba538d6ccdbce1411", + "max": 6, + "style": "IPY_MODEL_760f1e9e63bf4714b239892164b79568", + "value": 6 + } + }, + "2467fa051bfe409d94e4a2b50392e0d8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "25583e7593604fed9a3076e9bb32a8e2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "25678ca1e4eb47c4a08a79f6a72470d2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "2576665c2e9f4629a911e9482c95a1de": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_f57886dd637247509c0b70decca05b51", + "IPY_MODEL_62b21128f482417d92262d33c52a0b89", + "IPY_MODEL_f8a3c22b856649b59ec9aae128852623" + ], + "layout": "IPY_MODEL_4e7135b32fd14ca5beeaca0a096745ea" + } + }, + "258bec713aee430c8c4713be3a6c796a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "268ec65f81d74c3dac4251bbd2218cd8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_5586923c3d2543419d4ffb8ee3f89391", + "style": "IPY_MODEL_6a7ea945d7ed402e8cdf39462fe30e13", + "value": " 1/1 [00:00<00:00, 41.54 batch/s, loss=0.0211, loss_valid=0.0206]" + } + }, + "26c21a17f72a4e2eb3e7ad4ac3a363d3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_0aee4b3b8a2d4ea9b33454f34fe58962", + "max": 6, + "style": "IPY_MODEL_59414fc6008a4a90a3cd7d1482ca4a2b", + "value": 6 + } + }, + "272c285d55be4b19857834c3dcf26f40": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "277c125014a5445086b6c5729574b00e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "27ca24878d094c6dbfb7f6ede6d48797": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "282541b5b7d04f2688c9901ee9d1a71b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "2893c70cfb974636a9dafaa674ea6060": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_a51e347c08b341518a8f8f8a3eab3047", + "max": 1, + "style": "IPY_MODEL_9615d7389c62469d9cd062b220b296e0", + "value": 1 + } + }, + "294c44a2c757474ba6c456bde8e01a7e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "296bd65ea8ef48d5b0397b492527f328": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_9763fd6283f1497097c78b4ea393a5d3", + "IPY_MODEL_aeff46616b824370b7e5a3805848638d", + "IPY_MODEL_4e2459378fdd420db94ba53fc09c7139" + ], + "layout": "IPY_MODEL_407335764add4493a3dcb4a99bf54e86" + } + }, + "29cd734f249e412a91fb92f1e2b3be8d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "29ce1db42ff94f93a0a4b59da45864fb": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "2a7aee26a4fd4602b6cbfb8e251f3740": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "2b174875974c4141806b836a46efdf4a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_87c1cd9377d34239b64cb55516c62b4a", + "max": 6, + "style": "IPY_MODEL_c23d039ea4d148c2a55a0cdb535968fa", + "value": 6 + } + }, + "2b2f66ff4b9b4e52ab4528a0b85ffeb3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_677780d693ff4238b6596bb861417f8b", + "style": "IPY_MODEL_768be05cc3614e0c8d2d1044a1fbe238", + "value": " 6/6 [00:00<00:00, 23.55 batch/s, loss=0.022]" + } + }, + "2b5a93f3336f47ee95e54de36273483f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "2b83aa8f713540de85492fbae6439922": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "2c6195d90ab74debaf51272823da04d5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_d5ec1113877c4962b35d8d870f967786", + "style": "IPY_MODEL_81f0e61da90a477ebc77ecfecb0f3779", + "value": "Epoch 18: 100%" + } + }, + "2cf1d15ab8fd4a6cb94ac54d5809c77d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "2d24aa73c02446ac9c7e650f195989e0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "2dd9f7cf3e4c4055ad0bb6f9810242e9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "2e0f53d928014c4c9942fedba5616adf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "2eaa653e40e6445ea903975fe4a78a09": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "2ef3b985dde145ec8045fef843db6d30": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "2f38a28d9294424ca5c2070e70bc63c7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_671d116957bb4a4e91dc79f700382a1f", + "max": 1, + "style": "IPY_MODEL_7c2b2a77e8b14bd0a8f6faafbb26a41d", + "value": 1 + } + }, + "300add90f5424409b173f04534f5edfb": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "30e56f7eca664e70a285e4dd6c2aed8e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "30e758d9ba8348e39eba9b96a8ac2b17": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "3131d3ad752a47728bc5f60fd69c6ff4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_d4173738c2374a159a05207b50bfce17", + "IPY_MODEL_d8088c41455644b28f6a85406a1d8a58", + "IPY_MODEL_1d807491a6fe41cb817062e2ba6c02ef" + ], + "layout": "IPY_MODEL_37f9a4c0e7b443d592007e1c7333fcd5" + } + }, + "31b9cba5b20b400d80230f02a53f2939": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_1e9f9a13577d4bfdb17dd02590e6708d", + "style": "IPY_MODEL_42295d7646284a00900c25c27c0d3faf", + "value": " 6/6 [00:00<00:00, 23.50 batch/s, loss=0.0222]" + } + }, + "320d83edc925471a9c98eaa2c6565a64": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_6617017c7bea4e339c98541cad704356", + "style": "IPY_MODEL_563341b595f64b6aa1268614bc071eeb", + "value": "100%" + } + }, + "3237f68ad4f048108e26b568c4df55e0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_47d2e6f520fb484985aaad43c280cca3", + "max": 6, + "style": "IPY_MODEL_df16db70601c49ee9208f543e0a8257e", + "value": 6 + } + }, + "329ae8b9ade94ffb98b4d97d1ad597f8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "33482d1eaa234fd18dd24553e30f17a2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "33ce66ecfff44992bbef29e8d4fa93ea": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_60eacd03b64d49a1ad1d045e8d64e726", + "max": 6, + "style": "IPY_MODEL_e28089a6565c42eb93d260dad777215f", + "value": 6 + } + }, + "352cbd06dfd547deaec06e724eee6694": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_3b56b828c8ce45cda8b6c1b66f896079", + "max": 1, + "style": "IPY_MODEL_20b401893ab842a686c557357c9906d2", + "value": 1 + } + }, + "35718baaaca440a0998ed013da98507b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_888da18515a24ed9b4ea44da69b8ac54", + "IPY_MODEL_352cbd06dfd547deaec06e724eee6694", + "IPY_MODEL_0c37b7bd406c4c7eb26e8ee0710fef27" + ], + "layout": "IPY_MODEL_9e23fc82f922404b8a6ad9cc7bd6f345" + } + }, + "35c9e5079555442e9662f4f073b29ca9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "35ff78bb9cf44d7399d77770a0e7012e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "360e80aa4e34450ab6a3fdf891bb31d2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "36245b31532f4b17ab695cbf697af407": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_5d0ba4ab824e49c4a84da81937750343", + "max": 6, + "style": "IPY_MODEL_14753c1059fc43cd84c6fe2d2edf37fa", + "value": 6 + } + }, + "369dcc7f0d1a42319ef0933b33933b86": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "36aeed07cc324544bbce3f3d59b8443f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "36df9338d77e46f3943fc194f92b4d9d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "374c190d3a354605a0657d4e23434606": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "37751090453e45a7bc7f94318a3c8a92": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_fa5ab57e39dd465dae6d8a86595bcb68", + "IPY_MODEL_fb8fd20457cb4bc8b5d6e95bdc77a292", + "IPY_MODEL_1b6334bcedd14603870b62c89f2417e0" + ], + "layout": "IPY_MODEL_8dee139e5dc3409d9a1dd22a0cf87437" + } + }, + "37aea00eec1a46ce8973257b03c1650a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_b71756795d1848888046dab587109c76", + "style": "IPY_MODEL_65e2ddf0e03d4d698beca10c840efb80", + "value": "Epoch 12: 100%" + } + }, + "37b3e284cff747cf9b2954d6a49f3066": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_a6be2a56ff58426bb5eb3162422a5aa4", + "IPY_MODEL_c3bec55e10aa4d7e84fb73b8002ca865", + "IPY_MODEL_f66291cba37d4ecda641d5060d777e5e" + ], + "layout": "IPY_MODEL_ba294085f99c494dbb98dab0fe591894" + } + }, + "37ea4e5201da4727b357fc6c9f9dbefc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_b87989fd83ed44089b0c3793a3a50361", + "max": 1, + "style": "IPY_MODEL_2a7aee26a4fd4602b6cbfb8e251f3740", + "value": 1 + } + }, + "37f9a4c0e7b443d592007e1c7333fcd5": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "3858ce195c7b40adb360e92bc5e7aaea": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "390e520715f24e228855297b87da7f8d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "39709e2ffdd64132b4c178feac82ea97": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_7e5302ca5a5c4d93ab88d01a44ab8c4d", + "style": "IPY_MODEL_cd3b68d1e2334a0f975ee01e1817f09f", + "value": " 1/1 [00:00<00:00, 40.00 batch/s, loss=0.025, loss_valid=0.0191]" + } + }, + "398ca14a15344a8a85d277b8efa3f3ae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "3992fcee505641b3ab5762e5620b8466": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_af00ba6af0fe4404ac776135afdd33bc", + "style": "IPY_MODEL_f335808181ef434cbb54649856ec7c51", + "value": "Epoch 4: 100%" + } + }, + "3a05c8e9f55049898d1e2d8c06499c04": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "3ab88bc17bb04f05a805aa2ccf42bacd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_8eb3d4007b8a497c8ee12158ae5388c2", + "style": "IPY_MODEL_56863efc6e9f4c7c8791aaaa034a7940", + "value": " 1/1 [00:00<00:00, 5.15 batch/s, loss=0.0273, loss_valid=0.0329]" + } + }, + "3b545c6a91b14b90b7a25191c9d0bbc0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "3b56b828c8ce45cda8b6c1b66f896079": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "3bf36c6b17e3427f997de8d184c49ace": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_277c125014a5445086b6c5729574b00e", + "style": "IPY_MODEL_d451bda2a4a7432bb50fea27017e473c", + "value": "Epoch 22: 100%" + } + }, + "3c42454f24b84e5891def47283a7927b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "3c76c93bb0164a7186cf6c4d020e3caf": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_1d2134f6cb7a427dacd56870f4502c38", + "IPY_MODEL_524b25d8847842a39d23171ad52968a7", + "IPY_MODEL_c493027bf0764a48a6410db112bd7d7a" + ], + "layout": "IPY_MODEL_30e758d9ba8348e39eba9b96a8ac2b17" + } + }, + "3cb18b32c65648f1824f6fedd564a80f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "3d1f4ff814dd440c9e9c0e0c0416a0bd": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "3e2c05833c0442898af1cdfbe69e1f47": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "3e745559469146a3832534a86092e511": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "3fa1f9333f944d33bb418e2b0bf96b33": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_a4d04ac0b7614188b53ce029a504360d", + "IPY_MODEL_b69267e9bef74df282718319bad4014b", + "IPY_MODEL_e3199974ae7d4f0fb203b1290aa14028" + ], + "layout": "IPY_MODEL_4a1313ec2e0f48c082825005da761769" + } + }, + "3fcfa236453d4856a8e465b511dd6bc8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_1b79184e63324bbb88c64188ea5543e8", + "style": "IPY_MODEL_f20b8bc35d3b429f92f17cc1242523ae", + "value": "Epoch 20: 100%" + } + }, + "3ff063b5159a413f926d1d8eed16dc81": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "3ff60124a4824fdf94e66b0b156dc3a4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_3bf36c6b17e3427f997de8d184c49ace", + "IPY_MODEL_e5476cec77514fb7ad32b62092b5de2b", + "IPY_MODEL_afe92dea762f4fee8a16b0d14558418e" + ], + "layout": "IPY_MODEL_43684abd70ae4aec8b4f987cb31945cd" + } + }, + "407335764add4493a3dcb4a99bf54e86": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "413c306f064f46a5a7a2732f584d18f3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "41b2e9711c0a4eeba644bef5754b187a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "41cbd97c4a4d4601abfb235c7b0d6918": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_ef782ba93aa4422ba81057158dc83730", + "IPY_MODEL_e2d325d4f36649f495e616eb3fbbb179", + "IPY_MODEL_a53567b94b6940778d26e49ed2b62fd9" + ], + "layout": "IPY_MODEL_7c4ab3675f2e4386ab5638c53d6b8db4" + } + }, + "41e1e946ea674eacac6dc7fd1993f456": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "4200ea0048df42f99ed8e029552a8ba5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "42295d7646284a00900c25c27c0d3faf": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "43684abd70ae4aec8b4f987cb31945cd": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4392455aa19d4c52ae5d063cd8dbc74c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4394caa65c97490086d36352af1471fa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "439ad84a04584328ae0cf0e18ea6297e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "43cb6bfc5f0a40e3bc093b63f0464274": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "444b530820de4de9aebcb5922b161475": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_9416f3e9a35b4f8898d9eb710140e120", + "max": 20, + "style": "IPY_MODEL_b68305e6dcaf45108dbdc6a77091907b", + "value": 20 + } + }, + "44813b4a9e874d2299812946d0c202e6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_9825f1f6f87b496f84d8cd89ef3f1460", + "max": 1, + "style": "IPY_MODEL_4ee6973e59bf49d0b43b89954c50c86e", + "value": 1 + } + }, + "449f76fa8741453cb8efeb8a68d84db5": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4560479f57824349b50b6a9f1fbaa0af": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_c2fe2006de3645f6aed62f2542f9d898", + "IPY_MODEL_ddbc8e95e97443058f28bda210702a83", + "IPY_MODEL_2b2f66ff4b9b4e52ab4528a0b85ffeb3" + ], + "layout": "IPY_MODEL_4392455aa19d4c52ae5d063cd8dbc74c" + } + }, + "45e4b52364d64be68a8481b58215d80f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4629453629cf46339c26997f7aca7a98": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_5338e9ec38fd48f8a5d08a144ff79d35", + "style": "IPY_MODEL_0c19309369174e32b12a358cde69aa26", + "value": "100%" + } + }, + "4668ba7923d84483890585f5b3d3b703": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "46ecd64de37d4325bcb1821c4758877e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_3992fcee505641b3ab5762e5620b8466", + "IPY_MODEL_fc575fc58b1046fc9d40d7c4d1dba9fc", + "IPY_MODEL_b42427debec8437fb0357bfdd69fac0d" + ], + "layout": "IPY_MODEL_e8f52ec5c7f842bdabcdddbb6bee9e0c" + } + }, + "4741b0e7f7a8434b9d26ed7cb1f39801": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "478d577a07d64094bc5e5acffbc0a3df": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_5f2e473fdc584e5895e372600702df57", + "IPY_MODEL_05ac1249f9c645d781390d7261a6f5b9", + "IPY_MODEL_1e19f3d16d8e43ae8735363e2076aed5" + ], + "layout": "IPY_MODEL_2b83aa8f713540de85492fbae6439922" + } + }, + "47d2e6f520fb484985aaad43c280cca3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4807cf42d1d44421908acc6ae8dacef0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "48eaca0a1d75498c8a2932c355b0a5f3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_50b92b69e5034d7e8f717baaea44f80a", + "max": 6, + "style": "IPY_MODEL_8f05fdd8946845728b68dd4041740419", + "value": 6 + } + }, + "495661558fcf4defb44f4e797b42f6dc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4a1313ec2e0f48c082825005da761769": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4a218f4b0dd0414d91bb5a5599c7c72a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4aaea36d169b48a39cffb3fd01656929": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_0f33803357a14ba584293abc50de8b85", + "IPY_MODEL_142f440c019c4353b2508ae8041b515a", + "IPY_MODEL_57f5e1f6d63d475189f7d7899a218e08" + ], + "layout": "IPY_MODEL_0c12416b0785412c8e039e93ce8c4b41" + } + }, + "4acca9defa6d4aff9b54fd55bea83a68": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_66561dff217f482da8c289a86e9e3b0b", + "style": "IPY_MODEL_11a8be3e48b54cc7aeed1757889d1bfe", + "value": "Epoch 19: 100%" + } + }, + "4ca6b2be32a4482c8031b3660f5f5fca": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_762ef941ead44f188eb4322d369745fd", + "max": 1, + "style": "IPY_MODEL_41b2e9711c0a4eeba644bef5754b187a", + "value": 1 + } + }, + "4d8fca4b126748e2ae5223e6807712b7": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4d9ee98feb9742d3b482b50b72fed673": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "4e2459378fdd420db94ba53fc09c7139": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_630e96fd4c9f4fa290ae0e2be91cc518", + "style": "IPY_MODEL_4d9ee98feb9742d3b482b50b72fed673", + "value": " 1/1 [00:00<00:00, 40.69 batch/s, loss=0.023, loss_valid=0.0217]" + } + }, + "4e56da0c92e54a09baf19175c957dff5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "4e7135b32fd14ca5beeaca0a096745ea": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "4eaa3c6987084b0a87ee9b50c62c2ac0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_b345cfa5f2a74e89bc14bdce76935a33", + "IPY_MODEL_6ef7b8bc2038487883cc4144eeb78458", + "IPY_MODEL_8496a62239b54fb59d7fb79f85f37baa" + ], + "layout": "IPY_MODEL_fb5c7c5e62bc4fb4ac20dd293229951a" + } + }, + "4ee6973e59bf49d0b43b89954c50c86e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "4f36e3a3ca234a3da8c696191a5604b4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "50504d97cc6244b09ef9bbb737b11623": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_157d9c588b194753817b6dbb9c28a6cb", + "max": 6, + "style": "IPY_MODEL_0157f530118d422892ac49b3ef0cdff2", + "value": 6 + } + }, + "508774ecd39e492fae78fbc957902c4a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_7f8303f498b14dc8ab1e0adc59a03dab", + "style": "IPY_MODEL_258bec713aee430c8c4713be3a6c796a", + "value": " 1/1 [00:00<00:00, 41.67 batch/s, loss=0.023, loss_valid=0.0228]" + } + }, + "50b8ee9a2a734d5ca30fd56719be3ec6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_0427f6154a0a4482b9a2e36701237da8", + "style": "IPY_MODEL_0b1f7d86141e42c59f8b839e2362616f", + "value": "Epoch 16: 100%" + } + }, + "50b92b69e5034d7e8f717baaea44f80a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "50f6436ba07a46f9998769c4c62ff36b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_80c9b05a18554c3c9b5d46e16dc6c7bc", + "style": "IPY_MODEL_53859404015341dfb9acdb83770c9ec3", + "value": "Epoch 19: 100%" + } + }, + "51495969c09a4b6b89da252b75cd841a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_d22f962219f74cdcbee49587b515e27f", + "max": 1, + "style": "IPY_MODEL_7d4c84b9b9574d568a42e72c7cf5c7ae", + "value": 1 + } + }, + "518a842ee4ff4b89ac106580b75d6b9b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "51d3d54cc22b40eb9487d23c3ef6a625": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_21923ea7de914eddbf6146ff58e29e29", + "style": "IPY_MODEL_741426245cc24fc197f3d7c8db4665bc", + "value": "100%" + } + }, + "524b25d8847842a39d23171ad52968a7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_e4c0eea87f5c441ca50165a92888f3d4", + "max": 6, + "style": "IPY_MODEL_1ff6826ceb5c4de5bf381d08087179e2", + "value": 6 + } + }, + "5338e9ec38fd48f8a5d08a144ff79d35": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "53859404015341dfb9acdb83770c9ec3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "538890f5e4c247af81fc7ad72b3bde3e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "5516d3da4de84c02b75ab6af7572cf7b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "5542eff67b28427eb438b35bd2b80f7e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "554d8f6fef444da4a787f4fb15f1c2fc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "555156357c5940beac0ca96265c75a83": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "5586923c3d2543419d4ffb8ee3f89391": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5616c1d1a2424148b4dd4a247be6044d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "56225e63941c4aa2b4f2ec1592782a13": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "563341b595f64b6aa1268614bc071eeb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "5685fa3a673c497c887bb7dbf99f8b18": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "56863efc6e9f4c7c8791aaaa034a7940": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "578e79b7be1b4b42b5eb8fe29ec17345": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_7d19e4d2e1284f7c9e54e82a3b2b1f82", + "style": "IPY_MODEL_4394caa65c97490086d36352af1471fa", + "value": "Epoch 1: 100%" + } + }, + "57b6777e637d4cb3a3a6abba3e1628f3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "57c2847b276d4e20b5d2ce68f8aeb320": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "57f5e1f6d63d475189f7d7899a218e08": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_a68c333673f34e1dbabb6ccd58f49a92", + "style": "IPY_MODEL_99b78399f1be493abcb9906d05ca6588", + "value": " 1/1 [00:00<00:00, 7.92it/s]" + } + }, + "59414fc6008a4a90a3cd7d1482ca4a2b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "596786b6be2d46a2aa527b8659337978": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5a585e844f4a46b2b1e22dff03daeb84": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "5ac01b7023194ae5b547600d812e7b72": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_ec11ea2843744a12888f79d0d283d62d", + "style": "IPY_MODEL_63635f3216724a53b720cdf0c1355eec", + "value": "Epoch 6: 100%" + } + }, + "5aec6e40ea274428b5f54c1b5602b3d4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5b6cc86c87a74f248b1037e399531320": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_e16b7ad785c94ce5a89ffd33d6d599d6", + "style": "IPY_MODEL_7ae80bd4c95a4def869e093a27fcf4e7", + "value": " 1/1 [00:00<00:00, 40.77 batch/s, loss=0.0246, loss_valid=0.0164]" + } + }, + "5bb0ebef3bc344d5aacf512cf3620733": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5be01346175b4c23b08b005126740f60": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_4acca9defa6d4aff9b54fd55bea83a68", + "IPY_MODEL_2b174875974c4141806b836a46efdf4a", + "IPY_MODEL_dbbb5e81772040af8e071d72b9ee14c9" + ], + "layout": "IPY_MODEL_09f196d9a353439c823bd007d4b04dcf" + } + }, + "5d0b817e4a8044839ee368be1399c3b0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5d0ba4ab824e49c4a84da81937750343": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5de308cc26794f3d84ffad304610f3b1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_7e8259c6d0f64dd48fe5e8edf31fab96", + "IPY_MODEL_b49008c4121942338159b9ffbaf41eb9", + "IPY_MODEL_ebe3c6d1f9ab437592ab87175e82edbe" + ], + "layout": "IPY_MODEL_0f33ec19eec045b2a3fa6ae7c5e8827e" + } + }, + "5e2915dee0694c3c94a3791d00680b96": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5e80bb5ffe8443c4838889027402ed63": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "5f1b4f6e6ad44cc691b6709cb33d318b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5f26df1ca7ea45c9bd1f6dc0e17b27bc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "5f2e473fdc584e5895e372600702df57": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_5aec6e40ea274428b5f54c1b5602b3d4", + "style": "IPY_MODEL_13e99f23bb814ff9a6a4463b10aa9b9b", + "value": "Epoch 7: 100%" + } + }, + "5fc8ffab811c411099316b8d797ca273": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "603b269608034a839c4d508bc66fce3a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_ebe7513d7ee6460590c19df98c6e634b", + "style": "IPY_MODEL_a13ffaa221984e8b98237b79fb9e53ef", + "value": " 6/6 [00:00<00:00, 23.01 batch/s, loss=0.023]" + } + }, + "6054ccad77814f7287624b6ce81b7915": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_e7054676979e4ee6b8cd542daaa552df", + "max": 25, + "style": "IPY_MODEL_fd11cecfaf4c45f2aebb2a495b83eb26", + "value": 25 + } + }, + "608760915b134d639db72f6bc3e20cb1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "60eacd03b64d49a1ad1d045e8d64e726": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "612abca25e654a0cbda1f8c01d7581d3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c8dd94a665bd475f8dd2f1ca2c12277a", + "style": "IPY_MODEL_d19af55d5c654ba9a602ccdf71779b32", + "value": " 6/6 [00:00<00:00, 23.39 batch/s, loss=0.0252]" + } + }, + "61591054f2be41658a4444c524da51a5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_8654b54fc8824999840af085746e5c16", + "max": 6, + "style": "IPY_MODEL_903a1530285a4ae5bcd97bb92e616052", + "value": 6 + } + }, + "619a0cb4a7554e37869256bf411d205e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "62663a7d5ef84705b35a7ef1ad40bb7d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "62b21128f482417d92262d33c52a0b89": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_88080e24b7c14144914d10990fd73bd3", + "max": 1, + "style": "IPY_MODEL_dd24d4a3913141b09ca5fdeca62b72e9", + "value": 1 + } + }, + "630e96fd4c9f4fa290ae0e2be91cc518": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "63635f3216724a53b720cdf0c1355eec": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "64029156f2eb4502982a593ae35d6328": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6420e28c20a34f7ca18850ce6c949dae": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "647f947d7e6f47cab7e59160320373d9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "659aec1c187441daba41dcd43be8b1a3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_50b8ee9a2a734d5ca30fd56719be3ec6", + "IPY_MODEL_4ca6b2be32a4482c8031b3660f5f5fca", + "IPY_MODEL_8e5fd9acd05f47438393263d955f7947" + ], + "layout": "IPY_MODEL_89df681b4abd4de6983156a84c219acc" + } + }, + "65e2ddf0e03d4d698beca10c840efb80": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "6617017c7bea4e339c98541cad704356": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6631db68be13423e87b39a35d1f24957": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "66561dff217f482da8c289a86e9e3b0b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6659c5fdb34141489028aab8f2dc0686": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_578e79b7be1b4b42b5eb8fe29ec17345", + "IPY_MODEL_48eaca0a1d75498c8a2932c355b0a5f3", + "IPY_MODEL_8d7dfcfa978b44f588bc7ede1aedf7c5" + ], + "layout": "IPY_MODEL_95ca81a3f75247ed94c9b714fe340782" + } + }, + "66acf87bf1a744d1b6b89d2a672ef655": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "66dc3cc3b32943a2828cf29674278137": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_05ac865052a04e4e886c350aa43891d9", + "max": 1, + "style": "IPY_MODEL_afe62aa241a84949b1bb649ebbed43f2", + "value": 1 + } + }, + "671d116957bb4a4e91dc79f700382a1f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "67676da148a54e7bb4accc5112b52a50": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_dc79d079eee84c0bb50bb3b22fa5fe7d", + "style": "IPY_MODEL_b2ca975ec5714feea43a6ace5dd47945", + "value": "Epoch 5: 100%" + } + }, + "677780d693ff4238b6596bb861417f8b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6779d034398c4abbbe4c408f11c8584f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_986bbcb651724b7e97ef925167e20d4a", + "style": "IPY_MODEL_d9ef8ef1848d4747a451bcbd7849956a", + "value": " 1/1 [00:00<00:00, 38.46 batch/s, loss=0.022, loss_valid=0.0253]" + } + }, + "67df6b2965fd4d6ba077a8dccdb00d55": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "688732ad65b549e496d1aac3e0146e35": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "69b258e5824749aeae15d9eb8fb18af8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "6a663aff8a6745d698b57fcb1d340f5f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_abb2557f15104541bd0eb170818d4c71", + "max": 1, + "style": "IPY_MODEL_af90fd06502e4ec8be564cc84e38a3d2", + "value": 1 + } + }, + "6a7ea945d7ed402e8cdf39462fe30e13": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "6b349bca7a1a4e68a67c42395a051510": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_bb06e81c83224fc2b62d9f0957c645d9", + "max": 20, + "style": "IPY_MODEL_daebb9cc4aa346eeafba70408a078997", + "value": 20 + } + }, + "6b74e01a92cc41fda81f0224001b89cf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6b96998e5f934a959f359b2f93aca232": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_495661558fcf4defb44f4e797b42f6dc", + "max": 1, + "style": "IPY_MODEL_050b990f2bb74de8b52960da4b73c463", + "value": 1 + } + }, + "6bcce461bbf047829818899dde04b193": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_8b18d0926cf744ebb361643152eab05f", + "max": 20, + "style": "IPY_MODEL_218d1f5ada7f4bf68a10a50501584df9", + "value": 20 + } + }, + "6c3712b6d88c48249c4717a0f9383f5b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6c8a0c23750741eca52126530a1dbc1a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6c8c109d712d46a3b7c5cbfaf3f63d1e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6cd28c42dfb1454fbb15b857d5ac7b36": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_1ba05aa4494749168d68cdbf9713f9d2", + "style": "IPY_MODEL_43cb6bfc5f0a40e3bc093b63f0464274", + "value": "Epoch 15: 100%" + } + }, + "6d92f611e3d049e885b781fccc20e6bf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6dcc456dd8434dd4858c397abe9f2a5d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6e99a7e40e8b4dd3ba57c561b3007601": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "6ef7b8bc2038487883cc4144eeb78458": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_d39847f475f747ca815a9ae95b1c56ed", + "max": 6, + "style": "IPY_MODEL_c91fba931a644e6b8862961f4729456d", + "value": 6 + } + }, + "6fa34715b5f347618f4add9b34d2de1c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "6fd7516bf5654afb9551008bf0c423b7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "70a144ba057746dd87d32ae5bc5a068a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_13d3804e5c7d42a2a7353e81e36f4295", + "IPY_MODEL_36245b31532f4b17ab695cbf697af407", + "IPY_MODEL_c32d498e42064072aeb715db27f3a968" + ], + "layout": "IPY_MODEL_ace5f389b119431f9c9a3e0c8ffdd73a" + } + }, + "7263fe7ba18b4f8cbf4cd22a92e01804": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_4629453629cf46339c26997f7aca7a98", + "IPY_MODEL_444b530820de4de9aebcb5922b161475", + "IPY_MODEL_cbfffd948a7c4d598e459656b0ff9fb1" + ], + "layout": "IPY_MODEL_f037193371e4411fa11845adedb3632b" + } + }, + "73970956da2046e5ac6dbb4da1ad5035": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_1af8aad24d8049f186983e379764c897", + "max": 20, + "style": "IPY_MODEL_555156357c5940beac0ca96265c75a83", + "value": 20 + } + }, + "73ea6990d6aa4468bfefd781e1dd858f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_1186b23107084541ae06992edb048ed3", + "IPY_MODEL_96e396f26ac34230a187616b38e26cf2", + "IPY_MODEL_925bfa27a95943c281118cc89cbc013d" + ], + "layout": "IPY_MODEL_0581fae2faa44c40b40877fb616470ba" + } + }, + "741426245cc24fc197f3d7c8db4665bc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "7473c7e49e104d828c2b7eed21489c81": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_329ae8b9ade94ffb98b4d97d1ad597f8", + "style": "IPY_MODEL_5516d3da4de84c02b75ab6af7572cf7b", + "value": " 1/1 [00:00<00:00, 32.26 batch/s, loss=0.0251, loss_valid=0.0261]" + } + }, + "747dd979f80d43eb9f67f04f13487f69": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "75275b231ae04fe38e017eda29406ee6": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "752a3dc44a184ff79c85eb7d4263ef7c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_dddb5d2985f641529b5be5e766a24ea3", + "style": "IPY_MODEL_6fd7516bf5654afb9551008bf0c423b7", + "value": "Fit: 100%" + } + }, + "760f1e9e63bf4714b239892164b79568": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "762ef941ead44f188eb4322d369745fd": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "768be05cc3614e0c8d2d1044a1fbe238": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "77894e6cd47c49ce90fd1abe3bf1d8d1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "786d49090efd4da6b479f6226180544d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_ee31040284dd46a4adf04deb71f0cde1", + "IPY_MODEL_50504d97cc6244b09ef9bbb737b11623", + "IPY_MODEL_ec6f76fc8dc444218184f63820b49e38" + ], + "layout": "IPY_MODEL_dced06e801284511ac1401852d854800" + } + }, + "7929175f10224a0499e620fbb912d5ee": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_8832992cf0474d85aa2f02d01c048649", + "max": 1, + "style": "IPY_MODEL_57b6777e637d4cb3a3a6abba3e1628f3", + "value": 1 + } + }, + "79416fe8b4a3444792d6dc5b2121f09f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_a06f7fbf6557455da134f271f6a6a56e", + "max": 1, + "style": "IPY_MODEL_ab63180422fc40f4a7fe97f9c0fd74ac", + "value": 1 + } + }, + "79888f9da9404015b1bec6bbef8ed2a3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "7aa5ef2f49404d43a5a7686a148fd3fc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_fbc34a52d85d425a9e6bd4ca805bf83f", + "style": "IPY_MODEL_160502c640ea4fddbcea0d37093d2ff9", + "value": "Epoch 17: 100%" + } + }, + "7ae80bd4c95a4def869e093a27fcf4e7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "7bc4773d49ca46e29764232bca964009": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c3d36ff8438244f7b6bab45b78916a5a", + "style": "IPY_MODEL_57c2847b276d4e20b5d2ce68f8aeb320", + "value": " 1/1 [00:00<00:00, 40.00 batch/s, loss=0.0259, loss_valid=0.0233]" + } + }, + "7c009e92ba3d4f7fb6b0a1428c2f49b9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_b6110733304b4a4dba01b636c8b6c47c", + "style": "IPY_MODEL_c81ababa01ac4227b663ffd4d0ee9ab2", + "value": 100 + } + }, + "7c2b2a77e8b14bd0a8f6faafbb26a41d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "7c4ab3675f2e4386ab5638c53d6b8db4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "7d19e4d2e1284f7c9e54e82a3b2b1f82": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "7d3d71207362406c82d8e9a7f994b8b6": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "7d4c84b9b9574d568a42e72c7cf5c7ae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "7e5302ca5a5c4d93ab88d01a44ab8c4d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "7e8259c6d0f64dd48fe5e8edf31fab96": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_1352773692444da58067a04e7cd814ca", + "style": "IPY_MODEL_a0b0f0b5bf254e72b0e0b55f70cd32f6", + "value": "Epoch 14: 100%" + } + }, + "7e82e88507f54173b9e08c5e6b995cb5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "7eebe6b2da0a4c63991eac0a83657aae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_64029156f2eb4502982a593ae35d6328", + "style": "IPY_MODEL_4e56da0c92e54a09baf19175c957dff5", + "value": " 1/1 [00:00<00:00, 41.67 batch/s, loss=0.0229, loss_valid=0.021]" + } + }, + "7f7a363f097f470fbe6816df2c2b22bf": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "7f8303f498b14dc8ab1e0adc59a03dab": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "7f8be777a4284fda936b64f4a517e060": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_dbf81498899b4058a95b849e461958e9", + "style": "IPY_MODEL_b3730ed5e910484b826f1c3c8ec6cc31", + "value": " 6/6 [00:00<00:00, 9.83 batch/s, loss=0.022]" + } + }, + "7f9735c0724c47bfb16c9a69c923d8f0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8054e2c9678549e9ac2ef02f3749bf28": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "80c9b05a18554c3c9b5d46e16dc6c7bc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "80ce12e803264485abce90412654776c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "81a3aa5cbeab4bbba13b20c07c2f9ca2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "81f0e61da90a477ebc77ecfecb0f3779": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "828be11ebb6049f9b892d060bc31c3c9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8291eb66821f4f5c89de8442f837fe1a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "8298db4e27b14b2ca5b2ab5e839958f3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "82b8c2ecfa7448ecaff50c78be58ec63": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_4d8fca4b126748e2ae5223e6807712b7", + "style": "IPY_MODEL_e74cc8d743ec4aeeb42f57b59fa04d03", + "value": " 6/6 [00:00<00:00, 23.38 batch/s, loss=0.0221]" + } + }, + "8371cb34d1ff4604b034f21fb5dd173d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_fc479f142f2d411faaf00f2e83161f17", + "IPY_MODEL_b1be960bf030411faac9c10db93b6b63", + "IPY_MODEL_d94a053d918d416dba529074ecab8428" + ], + "layout": "IPY_MODEL_596786b6be2d46a2aa527b8659337978" + } + }, + "83c84d19b104495ca2a486c5f78886cf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "83fb4daaf08d46b9992a02459c739ed2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "84704c523fd94cd0adacb8bb50228675": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8496a62239b54fb59d7fb79f85f37baa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_f03af1e3981149b681627cd99e6c1d59", + "style": "IPY_MODEL_a78af2e86fe047f7ac3a41ad09210c0a", + "value": " 6/6 [00:00<00:00, 23.36 batch/s, loss=0.0231]" + } + }, + "860d5ade5bce49519ad4968501d98147": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_9d9ce944843f418b932051819dc180ea", + "max": 6, + "style": "IPY_MODEL_0041dc7875094d7cb1885f0961864470", + "value": 6 + } + }, + "8649bdf310fc409681ef2e771721aeb5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_5e2915dee0694c3c94a3791d00680b96", + "style": "IPY_MODEL_5616c1d1a2424148b4dd4a247be6044d", + "value": "Epoch 4: 100%" + } + }, + "8654b54fc8824999840af085746e5c16": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8677948b7c7b40a391a69827d8085a23": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_752a3dc44a184ff79c85eb7d4263ef7c", + "IPY_MODEL_6054ccad77814f7287624b6ce81b7915", + "IPY_MODEL_d4295cdfbc304875b4c1690b5bd3d647" + ], + "layout": "IPY_MODEL_eb7827b65b294e74aec9cab0c9c512b4" + } + }, + "87ab5aaed05447c299142aa1997d3320": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_8649bdf310fc409681ef2e771721aeb5", + "IPY_MODEL_6b96998e5f934a959f359b2f93aca232", + "IPY_MODEL_09c7ce2345c84ef4b138574a781e99cb" + ], + "layout": "IPY_MODEL_81a3aa5cbeab4bbba13b20c07c2f9ca2" + } + }, + "87c1cd9377d34239b64cb55516c62b4a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "87eff8a43447452c810d5a160b73ee45": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_0e197a866a9b41c68ec809b4c68ba9e9", + "max": 1, + "style": "IPY_MODEL_4807cf42d1d44421908acc6ae8dacef0", + "value": 1 + } + }, + "88080e24b7c14144914d10990fd73bd3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8832992cf0474d85aa2f02d01c048649": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "888b2e0dd0db42c8b5ef79d4896ddcc3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "888da18515a24ed9b4ea44da69b8ac54": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_0fd80d32cf0b471b950cb34a84667524", + "style": "IPY_MODEL_e48a92b79c994745996a03cf96752ac5", + "value": "100%" + } + }, + "88dbc99a7c104c73a3b27e830bb18543": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "88fbd8f93fa641a1bfd3eeef5a649d91": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "89df681b4abd4de6983156a84c219acc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "89eb652e6db342899a2bf51a95cb455a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "89f2462695834faa8f11598d5a919951": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "89fe39fc4ba840b9972a50fcf77ac19d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8a4428a3aff44d7a867d30bbb3c3f0d7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_cbd1ea32729b4f9baa538525a188c0c3", + "style": "IPY_MODEL_f7897f831f6f4c059b8bf65f6b072926", + "value": " 1/1 [00:00<00:00, 41.67 batch/s, loss=0.0233, loss_valid=0.0125]" + } + }, + "8ac4e402dd3e4edd8145081dd26f58c5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_413c306f064f46a5a7a2732f584d18f3", + "style": "IPY_MODEL_89f2462695834faa8f11598d5a919951", + "value": " 6/6 [00:00<00:00, 23.02 batch/s, loss=0.0256]" + } + }, + "8b18d0926cf744ebb361643152eab05f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8b190ab72fea4b3b832033b1fccac8fb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_edbef426fca04ddeb9ee8c0888253647", + "IPY_MODEL_f2c09dd2fdb843c0ab1ff025ac586fe8", + "IPY_MODEL_98a82a6b8ff7450c9325557dbb17b1e2" + ], + "layout": "IPY_MODEL_0f92db9e158046a89a8d3ce799e6ffda" + } + }, + "8cb349b469ee425c9fee6c2490dfa245": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8d57dad271b4487fbf19c70943c6790d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "8d7dfcfa978b44f588bc7ede1aedf7c5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_449f76fa8741453cb8efeb8a68d84db5", + "style": "IPY_MODEL_bfcad4be39c0401bad89cb57f01cff81", + "value": " 6/6 [00:00<00:00, 23.20 batch/s, loss=0.0323]" + } + }, + "8db3c05656c74eaa968fb29d3fcaab1a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8dee139e5dc3409d9a1dd22a0cf87437": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8df6040508b640b6a847e504c3ae09a5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "8e4f8249506241399d5c0e736d6af629": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "8e5fd9acd05f47438393263d955f7947": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c062cf56584348f5af81205d7b534f6b", + "style": "IPY_MODEL_ee45ea12e8504b59a613ca35f9ca682f", + "value": " 1/1 [00:00<00:00, 41.66 batch/s, loss=0.0232, loss_valid=0.0132]" + } + }, + "8e7a25a1fdb04da097367a1a73710c37": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "8eb3d4007b8a497c8ee12158ae5388c2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "8f05fdd8946845728b68dd4041740419": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "8f1932aa0c6b421b84c1196b75e5cc1b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "903a1530285a4ae5bcd97bb92e616052": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "91b3d03613a849eca507a99778bf934f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_ee6f2149f3d1483286cca7914d2e85b8", + "IPY_MODEL_c97f8552ef9b4f5c90678d4f57fccb03", + "IPY_MODEL_ec4d966c98bf4919888e73d5a1a24355" + ], + "layout": "IPY_MODEL_6b74e01a92cc41fda81f0224001b89cf" + } + }, + "91e4ea8a4faf491dbf7d89a1eea08ba5": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "925bfa27a95943c281118cc89cbc013d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_7d3d71207362406c82d8e9a7f994b8b6", + "style": "IPY_MODEL_be9293b6c0514eacb5f1066de91e0926", + "value": " 6/6 [00:00<00:00, 13.10 batch/s, loss=0.0251]" + } + }, + "934c79efa3cb4d689caef841dbf159ae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "93c06ff595d348e0bb2a27feb0b015d9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9416f3e9a35b4f8898d9eb710140e120": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "95ca81a3f75247ed94c9b714fe340782": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9615d7389c62469d9cd062b220b296e0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "962e58c11f87458dad17aea1b7fec423": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "96e396f26ac34230a187616b38e26cf2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_f6a7115d606241a7902c65f6e7b85507", + "max": 6, + "style": "IPY_MODEL_1e175ccbc22549888050d171687fdbaa", + "value": 6 + } + }, + "972410b9c3ef47609cb75c4e07b34800": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_320d83edc925471a9c98eaa2c6565a64", + "IPY_MODEL_73970956da2046e5ac6dbb4da1ad5035", + "IPY_MODEL_cf08d7917e59495ca50de2e5ea046ad9" + ], + "layout": "IPY_MODEL_9d1ddcba59b34a0abc9d417313bdadaf" + } + }, + "9763fd6283f1497097c78b4ea393a5d3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_e57f5041057b4570a70e876673ae0d21", + "style": "IPY_MODEL_022c143e8b6c46279d4172f30dafe5b7", + "value": "Epoch 22: 100%" + } + }, + "97cf9cb3411d4256bc1bc65180d7e488": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "9825f1f6f87b496f84d8cd89ef3f1460": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "986bbcb651724b7e97ef925167e20d4a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "98a82a6b8ff7450c9325557dbb17b1e2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_79888f9da9404015b1bec6bbef8ed2a3", + "style": "IPY_MODEL_3a05c8e9f55049898d1e2d8c06499c04", + "value": " 1/1 [00:00<00:00, 35.71 batch/s, loss=0.0291, loss_valid=0.0257]" + } + }, + "98c95aa097b74b3ca8e4b789a6709ec3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "98e4546c48df4bf0873ba2a90736e845": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "99b78399f1be493abcb9906d05ca6588": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "99ba826477cf4101b2d886ade6abe695": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "9a5b23294c0242f59acc4fdb9c9064cc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "9d1ddcba59b34a0abc9d417313bdadaf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9d906a813f8042b0ac968f5e1d6c15ad": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "9d9ce944843f418b932051819dc180ea": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9e23fc82f922404b8a6ad9cc7bd6f345": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9e52f2ccf83248f4b1de96932e9a5a38": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9f718c6a18504f2ca267b5a7a2079521": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "9ff62cf3a4db496a9f515acda86979d6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_1ad631c2fcf64e4c806193b04d38ac48", + "style": "IPY_MODEL_b3daf134e3564d9b80f9a8282d6321f9", + "value": "Epoch 18: 100%" + } + }, + "a06f7fbf6557455da134f271f6a6a56e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "a0b0f0b5bf254e72b0e0b55f70cd32f6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "a13ffaa221984e8b98237b79fb9e53ef": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "a15142d2ac2c4f4ea721e14785cb1cfd": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "a166871dc370471cb616762ccc8f2a6f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_b1a53301ccb14f62a0de2da87bab9ba1", + "max": 6, + "style": "IPY_MODEL_c72f72ec36da4056a1860420264c6785", + "value": 6 + } + }, + "a1c18d9e031145a79aa710ef7f3e0deb": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "a305f67843614c9e973d86beb4c1b369": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_bc46962258db43149e39930397a86060", + "style": "IPY_MODEL_69b258e5824749aeae15d9eb8fb18af8", + "value": " 6/6 [00:00<00:00, 23.31 batch/s, loss=0.025]" + } + }, + "a405c26580dc48168366146de0d3221c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_0360d321ccd24896aa5fb26509794c3a", + "max": 1, + "style": "IPY_MODEL_36df9338d77e46f3943fc194f92b4d9d", + "value": 1 + } + }, + "a42e376688af4a538723d7e3ad4e00aa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_37aea00eec1a46ce8973257b03c1650a", + "IPY_MODEL_d5a86e0a89d04a37a7b7217ef6412735", + "IPY_MODEL_0cb941353ba34c6ea7d499fb706305fb" + ], + "layout": "IPY_MODEL_36aeed07cc324544bbce3f3d59b8443f" + } + }, + "a47ab1cd8c944218afb1ba1fc2748628": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "a4c7a10111024a8cb55074af141cb738": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_8f1932aa0c6b421b84c1196b75e5cc1b", + "style": "IPY_MODEL_8d57dad271b4487fbf19c70943c6790d", + "value": "Epoch 23: 100%" + } + }, + "a4d04ac0b7614188b53ce029a504360d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_bb9f7011ffdf436ca387fc7797520693", + "style": "IPY_MODEL_88fbd8f93fa641a1bfd3eeef5a649d91", + "value": "Epoch 21: 100%" + } + }, + "a4f2a4c6a1304503af720a47d61d013b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_77894e6cd47c49ce90fd1abe3bf1d8d1", + "style": "IPY_MODEL_e8786ad68acf4a30b068f09265bbc49a", + "value": "Epoch 12: 100%" + } + }, + "a51e347c08b341518a8f8f8a3eab3047": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "a53567b94b6940778d26e49ed2b62fd9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_3d1f4ff814dd440c9e9c0e0c0416a0bd", + "style": "IPY_MODEL_619a0cb4a7554e37869256bf411d205e", + "value": " 1/1 [00:00<00:00, 37.04 batch/s, loss=0.0231, loss_valid=0.02]" + } + }, + "a68c333673f34e1dbabb6ccd58f49a92": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "a6a4046f38104bbdae68c01902697a19": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "a6be2a56ff58426bb5eb3162422a5aa4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_4741b0e7f7a8434b9d26ed7cb1f39801", + "style": "IPY_MODEL_b0b0c849ba954466818208ec5f5648a2", + "value": "Epoch 17: 100%" + } + }, + "a6ce63980f3541f6a62b00eb9df54220": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_b98f903a93d242daa5897a67a1013f5a", + "max": 1, + "style": "IPY_MODEL_12a51bfa3baf42c794183d3433f74fea", + "value": 1 + } + }, + "a74b6b970bb5491a830417556046393c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_e16762c5e5d143bd94009ea59014c81f", + "IPY_MODEL_44813b4a9e874d2299812946d0c202e6", + "IPY_MODEL_7473c7e49e104d828c2b7eed21489c81" + ], + "layout": "IPY_MODEL_62663a7d5ef84705b35a7ef1ad40bb7d" + } + }, + "a766039f3b994c13ac2b9042cf507329": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_6dcc456dd8434dd4858c397abe9f2a5d", + "max": 6, + "style": "IPY_MODEL_f0a8a5180a2c4673b0b81213353a862f", + "value": 6 + } + }, + "a78af2e86fe047f7ac3a41ad09210c0a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "a7e8535ac9b245d28090a4e8df14a7a0": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "a808182f4f6b4b0ba88b38fbd001f379": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ab41da1f328f40b9afc777b6013f5142": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ab63180422fc40f4a7fe97f9c0fd74ac": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "abb2557f15104541bd0eb170818d4c71": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "acd78099d7b04ee086a69219c55409ec": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_ffe0a89f159b42808db054e5d872b097", + "style": "IPY_MODEL_3ff063b5159a413f926d1d8eed16dc81", + "value": "Epoch 7: 100%" + } + }, + "ace5f389b119431f9c9a3e0c8ffdd73a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "adee9c179542404e86296b2eeb7a090e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ae40eff75c1647b68dbd788561274d51": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "ae429db41e1a4bbca9416472d60260ea": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_67df6b2965fd4d6ba077a8dccdb00d55", + "style": "IPY_MODEL_8df6040508b640b6a847e504c3ae09a5", + "value": "Epoch 10: 100%" + } + }, + "aeaae4760f9b4bd0b08e22699d83dc90": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_2dd9f7cf3e4c4055ad0bb6f9810242e9", + "max": 6, + "style": "IPY_MODEL_747dd979f80d43eb9f67f04f13487f69", + "value": 6 + } + }, + "aeff46616b824370b7e5a3805848638d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_93c06ff595d348e0bb2a27feb0b015d9", + "max": 1, + "style": "IPY_MODEL_5685fa3a673c497c887bb7dbf99f8b18", + "value": 1 + } + }, + "af00ba6af0fe4404ac776135afdd33bc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "af90fd06502e4ec8be564cc84e38a3d2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "af928d1b78794a7e82e62f0c5273ecf7": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_f2d6eebdcfb84e7c8b576db61fea3ef8", + "IPY_MODEL_51495969c09a4b6b89da252b75cd841a", + "IPY_MODEL_3ab88bc17bb04f05a805aa2ccf42bacd" + ], + "layout": "IPY_MODEL_bf95911574c84e86be24cafe2ec4e4d8" + } + }, + "afe62aa241a84949b1bb649ebbed43f2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "afe92dea762f4fee8a16b0d14558418e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_35ff78bb9cf44d7399d77770a0e7012e", + "style": "IPY_MODEL_89eb652e6db342899a2bf51a95cb455a", + "value": " 6/6 [00:00<00:00, 22.92 batch/s, loss=0.023]" + } + }, + "b0099721edd2475ab65a69100a634dbe": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "b0b0c849ba954466818208ec5f5648a2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "b1a1112710e3481da12201bada938f03": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_33482d1eaa234fd18dd24553e30f17a2", + "style": "IPY_MODEL_35c9e5079555442e9662f4f073b29ca9", + "value": " 6/6 [00:00<00:00, 23.48 batch/s, loss=0.0232]" + } + }, + "b1a53301ccb14f62a0de2da87bab9ba1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b1be960bf030411faac9c10db93b6b63": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_2cf1d15ab8fd4a6cb94ac54d5809c77d", + "max": 1, + "style": "IPY_MODEL_bd085cc24f5940be81b10c8974f05e07", + "value": 1 + } + }, + "b250c7655d7745e7881ed07c53b85594": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_acd78099d7b04ee086a69219c55409ec", + "IPY_MODEL_79416fe8b4a3444792d6dc5b2121f09f", + "IPY_MODEL_5b6cc86c87a74f248b1037e399531320" + ], + "layout": "IPY_MODEL_66acf87bf1a744d1b6b89d2a672ef655" + } + }, + "b28992e34f1a4ed18a1f243d17bebb22": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_a808182f4f6b4b0ba88b38fbd001f379", + "style": "IPY_MODEL_554d8f6fef444da4a787f4fb15f1c2fc", + "value": "Epoch 20: 100%" + } + }, + "b2ca975ec5714feea43a6ace5dd47945": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "b2de28e99656454fafd8797745254405": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "b345cfa5f2a74e89bc14bdce76935a33": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_6d92f611e3d049e885b781fccc20e6bf", + "style": "IPY_MODEL_25678ca1e4eb47c4a08a79f6a72470d2", + "value": "Epoch 11: 100%" + } + }, + "b3730ed5e910484b826f1c3c8ec6cc31": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "b3c2498e8617454fbf810da65932e6ad": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b3daf134e3564d9b80f9a8282d6321f9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "b42427debec8437fb0357bfdd69fac0d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_f760492446c0428b9df8bc2059685d8b", + "style": "IPY_MODEL_1b4ec200df30427cbd3aa24ca95b0826", + "value": " 6/6 [00:00<00:00, 23.42 batch/s, loss=0.0231]" + } + }, + "b4545d97b9464453b69d2ff5e9418368": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b49008c4121942338159b9ffbaf41eb9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_bc1a9455d87548edadf7220d213c760c", + "max": 1, + "style": "IPY_MODEL_0a38693a216c49f9921ed128644c0604", + "value": 1 + } + }, + "b5241ca2ae384e1a80a6525593edd551": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b6110733304b4a4dba01b636c8b6c47c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b66dcd04b13e48b2a9eed21d152d5935": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b68305e6dcaf45108dbdc6a77091907b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "b69267e9bef74df282718319bad4014b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_8054e2c9678549e9ac2ef02f3749bf28", + "max": 6, + "style": "IPY_MODEL_1863412441b946d0abb80c30f7e1f007", + "value": 6 + } + }, + "b6e722054d024c91b693816ffdd8c089": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "b71756795d1848888046dab587109c76": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b87989fd83ed44089b0c3793a3a50361": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "b920a8beb95148b1976909087b636d1e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_ab41da1f328f40b9afc777b6013f5142", + "style": "IPY_MODEL_538890f5e4c247af81fc7ad72b3bde3e", + "value": " 1/1 [00:00<00:00, 40.00 batch/s, loss=0.0222, loss_valid=0.0189]" + } + }, + "b98f903a93d242daa5897a67a1013f5a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ba16dbc65d5a46c8bdaeb938354449f8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ba294085f99c494dbb98dab0fe591894": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bb06e81c83224fc2b62d9f0957c645d9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bb19b2ceac7647279708755c62050d0f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bb9f7011ffdf436ca387fc7797520693": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bc1a9455d87548edadf7220d213c760c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bc46962258db43149e39930397a86060": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bd085cc24f5940be81b10c8974f05e07": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "be0b8310cabd4a23951badeb195a88ec": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "be9293b6c0514eacb5f1066de91e0926": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "bf8dfe80f2c64fe6824bb11da0956d29": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bf95911574c84e86be24cafe2ec4e4d8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "bfcad4be39c0401bad89cb57f01cff81": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "c04add7fa12f47859f805a58525ab5b1": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c062cf56584348f5af81205d7b534f6b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c09aac48121a4c19942caec8459c3790": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c0aa52990a4b47268ad87cb88ae0b690": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_45e4b52364d64be68a8481b58215d80f", + "style": "IPY_MODEL_3e745559469146a3832534a86092e511", + "value": "Epoch 3: 100%" + } + }, + "c11abb0c614d468e9673ef50fde73fe8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c14a4b9bffdb46ba8ff06fbfbf0dbed0": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c14ce60d56bf43bb9d1bcea8e08cedd9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c179c0bd002e4b5fbe721b38ef144b20": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c23d039ea4d148c2a55a0cdb535968fa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "c2fe2006de3645f6aed62f2542f9d898": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c179c0bd002e4b5fbe721b38ef144b20", + "style": "IPY_MODEL_a47ab1cd8c944218afb1ba1fc2748628", + "value": "Epoch 9: 100%" + } + }, + "c30e435445184201bb8956626662851f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "c32d498e42064072aeb715db27f3a968": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_e18e5603691b422c869cb29f580d9d0a", + "style": "IPY_MODEL_17c8e0419cd04be382d829f70177f33c", + "value": " 6/6 [00:00<00:00, 23.79 batch/s, loss=0.0211]" + } + }, + "c3bec55e10aa4d7e84fb73b8002ca865": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_29ce1db42ff94f93a0a4b59da45864fb", + "max": 1, + "style": "IPY_MODEL_c94952aaf242436a9eca5e8c2d364e1a", + "value": 1 + } + }, + "c3d36ff8438244f7b6bab45b78916a5a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c40502a859094931a9ec5f698ea19ecf": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_a4f2a4c6a1304503af720a47d61d013b", + "IPY_MODEL_db2f9f01ad7848679c9a0c611cb629a8", + "IPY_MODEL_31b9cba5b20b400d80230f02a53f2939" + ], + "layout": "IPY_MODEL_56225e63941c4aa2b4f2ec1592782a13" + } + }, + "c493027bf0764a48a6410db112bd7d7a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c6e71b1c40144a0881249a729acd1fac", + "style": "IPY_MODEL_3b545c6a91b14b90b7a25191c9d0bbc0", + "value": " 6/6 [00:00<00:00, 23.32 batch/s, loss=0.0253]" + } + }, + "c5565017b90b497da1c014c362249e9f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c6a38c6dfe5b417a91352dec79166939": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_182e53e4fc304600a4b4a5411a03435d", + "IPY_MODEL_21ac8e594cbe48f9ad9869e25cd850d8", + "IPY_MODEL_a305f67843614c9e973d86beb4c1b369" + ], + "layout": "IPY_MODEL_d43e4f5095684652817ac0d375fa940d" + } + }, + "c6e71b1c40144a0881249a729acd1fac": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c72f72ec36da4056a1860420264c6785": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "c7381d800e6c4b658f9e090128d6cdfa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_5ac01b7023194ae5b547600d812e7b72", + "IPY_MODEL_a766039f3b994c13ac2b9042cf507329", + "IPY_MODEL_7f8be777a4284fda936b64f4a517e060" + ], + "layout": "IPY_MODEL_6c3712b6d88c48249c4717a0f9383f5b" + } + }, + "c73eb7f291f94fa69ff30797ca57203e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_12911119643d43bbbc36d365ec22c6a4", + "IPY_MODEL_a166871dc370471cb616762ccc8f2a6f", + "IPY_MODEL_8ac4e402dd3e4edd8145081dd26f58c5" + ], + "layout": "IPY_MODEL_518a842ee4ff4b89ac106580b75d6b9b" + } + }, + "c81ababa01ac4227b663ffd4d0ee9ab2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "c8dd94a665bd475f8dd2f1ca2c12277a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "c91fba931a644e6b8862961f4729456d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "c94952aaf242436a9eca5e8c2d364e1a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "c97f8552ef9b4f5c90678d4f57fccb03": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_6c8c109d712d46a3b7c5cbfaf3f63d1e", + "max": 1, + "style": "IPY_MODEL_d4c26d59b0b249f599f95a47dd8ef836", + "value": 1 + } + }, + "c98d303e8dba403a8957c3278fa174b2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_360e80aa4e34450ab6a3fdf891bb31d2", + "max": 1, + "style": "IPY_MODEL_9d906a813f8042b0ac968f5e1d6c15ad", + "value": 1 + } + }, + "cbd1ea32729b4f9baa538525a188c0c3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "cbfffd948a7c4d598e459656b0ff9fb1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_0f04a445cf1c4442b8470d55cafed630", + "style": "IPY_MODEL_390e520715f24e228855297b87da7f8d", + "value": " 20/20 [00:03<00:00, 7.72it/s]" + } + }, + "cc2f4e0b03db4febaa9132485a058d22": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "cc7e423d04364e72b263a583c0b8381e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "cd0725a260564ecca168099ac39325d5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "cd3b68d1e2334a0f975ee01e1817f09f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "cd980156396c4d90bbe0c3fd70a2f77b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "ce69154fc4584eda9e44c5f99a0e32a6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_7aa5ef2f49404d43a5a7686a148fd3fc", + "IPY_MODEL_33ce66ecfff44992bbef29e8d4fa93ea", + "IPY_MODEL_82b8c2ecfa7448ecaff50c78be58ec63" + ], + "layout": "IPY_MODEL_2d24aa73c02446ac9c7e650f195989e0" + } + }, + "cf08d7917e59495ca50de2e5ea046ad9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_6c8a0c23750741eca52126530a1dbc1a", + "style": "IPY_MODEL_b2de28e99656454fafd8797745254405", + "value": " 20/20 [00:02<00:00, 7.64it/s]" + } + }, + "cffee810588443de81d599b707ab2170": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_2c6195d90ab74debaf51272823da04d5", + "IPY_MODEL_a6ce63980f3541f6a62b00eb9df54220", + "IPY_MODEL_b920a8beb95148b1976909087b636d1e" + ], + "layout": "IPY_MODEL_3e2c05833c0442898af1cdfbe69e1f47" + } + }, + "d05b48968e8e4206918ea3dbb883d9d6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_0b7337027ae841d4bfd05518ab18e28c", + "IPY_MODEL_87eff8a43447452c810d5a160b73ee45", + "IPY_MODEL_f689e0c4c0a44a7f96685a43b0fed6a5" + ], + "layout": "IPY_MODEL_06f9570317814ccb879ba2b8e2f53eb1" + } + }, + "d0a66f4dd39942ec83d7cbad55d17cf6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c5565017b90b497da1c014c362249e9f", + "style": "IPY_MODEL_1e348829a6bd4b06b62beb218cfa42b2", + "value": "Epoch 13: 100%" + } + }, + "d0fd4e5852354bca8521754099b47a42": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d19af55d5c654ba9a602ccdf71779b32": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "d22f962219f74cdcbee49587b515e27f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d28d8b07c039459ea4618ac7be6a4b9a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "d330dbe31f4b4b44ade4941c578fd1ac": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_294c44a2c757474ba6c456bde8e01a7e", + "style": "IPY_MODEL_4f36e3a3ca234a3da8c696191a5604b4", + "value": "Epoch 9: 100%" + } + }, + "d39847f475f747ca815a9ae95b1c56ed": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d40446ed1ef54cbebc1fcc66cce870da": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "d4173738c2374a159a05207b50bfce17": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_83c84d19b104495ca2a486c5f78886cf", + "style": "IPY_MODEL_7e82e88507f54173b9e08c5e6b995cb5", + "value": "Epoch 23: 100%" + } + }, + "d4295cdfbc304875b4c1690b5bd3d647": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_83fb4daaf08d46b9992a02459c739ed2", + "style": "IPY_MODEL_4200ea0048df42f99ed8e029552a8ba5", + "value": " 25/25 [00:08<00:00, 3.48 epoch/s, loss=0.0253, loss_valid=0.0182]" + } + }, + "d43e4f5095684652817ac0d375fa940d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d451bda2a4a7432bb50fea27017e473c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "d4c26d59b0b249f599f95a47dd8ef836": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "d5a86e0a89d04a37a7b7217ef6412735": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_5d0b817e4a8044839ee368be1399c3b0", + "max": 1, + "style": "IPY_MODEL_b0099721edd2475ab65a69100a634dbe", + "value": 1 + } + }, + "d5ec1113877c4962b35d8d870f967786": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d68806b87aea4883bb2ac17dc8cd6c51": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d757d88ac57e4dbbbf6ced5b3bc0538c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d7cc67dec98f4122bf1d84aea06b8742": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "d8088c41455644b28f6a85406a1d8a58": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_eb72df2b589f4bd2a0d5e317f8cc4de3", + "max": 6, + "style": "IPY_MODEL_058654e768cb45e7be3048a0c9e3c0ff", + "value": 6 + } + }, + "d92a18f818964e9a89b49df78f0ad543": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_9f718c6a18504f2ca267b5a7a2079521", + "style": "IPY_MODEL_2ef3b985dde145ec8045fef843db6d30", + "value": "Epoch 8: 100%" + } + }, + "d94a053d918d416dba529074ecab8428": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_b3c2498e8617454fbf810da65932e6ad", + "style": "IPY_MODEL_8298db4e27b14b2ca5b2ab5e839958f3", + "value": " 1/1 [00:00<00:00, 34.48 batch/s, loss=0.022, loss_valid=0.0191]" + } + }, + "d9e912b46cd1491084379e6e4bec6f4a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_51d3d54cc22b40eb9487d23c3ef6a625", + "IPY_MODEL_6b349bca7a1a4e68a67c42395a051510", + "IPY_MODEL_0600e4400227420d929758d7f52afb9c" + ], + "layout": "IPY_MODEL_d757d88ac57e4dbbbf6ced5b3bc0538c" + } + }, + "d9ef8ef1848d4747a451bcbd7849956a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "daebb9cc4aa346eeafba70408a078997": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "db0a8e29bbfe4eaba538d6ccdbce1411": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "db2f9f01ad7848679c9a0c611cb629a8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_3cb18b32c65648f1824f6fedd564a80f", + "max": 6, + "style": "IPY_MODEL_5f26df1ca7ea45c9bd1f6dc0e17b27bc", + "value": 6 + } + }, + "dbbb5e81772040af8e071d72b9ee14c9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_300add90f5424409b173f04534f5edfb", + "style": "IPY_MODEL_14a95eb4723e4c31bfbf3fc03b4b65c1", + "value": " 6/6 [00:00<00:00, 23.43 batch/s, loss=0.0233]" + } + }, + "dbf81498899b4058a95b849e461958e9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "dc79d079eee84c0bb50bb3b22fa5fe7d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "dced06e801284511ac1401852d854800": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "dd24d4a3913141b09ca5fdeca62b72e9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "ddbc8e95e97443058f28bda210702a83": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_6fa34715b5f347618f4add9b34d2de1c", + "max": 6, + "style": "IPY_MODEL_8e4f8249506241399d5c0e736d6af629", + "value": 6 + } + }, + "dddb5d2985f641529b5be5e766a24ea3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "dee77247cc114e639ba99cd8010dcf51": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_50f6436ba07a46f9998769c4c62ff36b", + "IPY_MODEL_7929175f10224a0499e620fbb912d5ee", + "IPY_MODEL_8a4428a3aff44d7a867d30bbb3c3f0d7" + ], + "layout": "IPY_MODEL_00a761a634454b31b6e5bd327ebeea70" + } + }, + "df16db70601c49ee9208f543e0a8257e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "df8d4459fc3a444fa038009c11cbbc54": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "e16762c5e5d143bd94009ea59014c81f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_f50d518953fa4c1b94580935625b3179", + "style": "IPY_MODEL_6e99a7e40e8b4dd3ba57c561b3007601", + "value": "Epoch 2: 100%" + } + }, + "e16b7ad785c94ce5a89ffd33d6d599d6": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e18e5603691b422c869cb29f580d9d0a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e27acc27e79f4250af7dc4e7cdc03f0c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e28089a6565c42eb93d260dad777215f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "e2d325d4f36649f495e616eb3fbbb179": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_b66dcd04b13e48b2a9eed21d152d5935", + "max": 1, + "style": "IPY_MODEL_e8952fb857834044a78dfc2e57d79e53", + "value": 1 + } + }, + "e3199974ae7d4f0fb203b1290aa14028": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_e27acc27e79f4250af7dc4e7cdc03f0c", + "style": "IPY_MODEL_934c79efa3cb4d689caef841dbf159ae", + "value": " 6/6 [00:00<00:00, 23.43 batch/s, loss=0.0249]" + } + }, + "e48a92b79c994745996a03cf96752ac5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "e4c0eea87f5c441ca50165a92888f3d4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e4f669d85fe74b1f90d3f27aaaa44d5f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e5476cec77514fb7ad32b62092b5de2b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_08f90e1007834e3a8d36eb153a7280a5", + "max": 6, + "style": "IPY_MODEL_d28d8b07c039459ea4618ac7be6a4b9a", + "value": 6 + } + }, + "e57f5041057b4570a70e876673ae0d21": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e5e6560202954da286cc328c2b6df0b2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e6c83b28a4154b28809a3138956e8fa9": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e7054676979e4ee6b8cd542daaa552df": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e74cc8d743ec4aeeb42f57b59fa04d03": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "e78398e8f88b46d3a70a168d93165c94": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e78c2998d2a447d49674354f5541e140": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_962e58c11f87458dad17aea1b7fec423", + "max": 6, + "style": "IPY_MODEL_8e7a25a1fdb04da097367a1a73710c37", + "value": 6 + } + }, + "e8786ad68acf4a30b068f09265bbc49a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "e886f8d8b16c46faaa383a9bc10c3755": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_fb08790c93f64cfd9705e45e4dd08f10", + "IPY_MODEL_7c009e92ba3d4f7fb6b0a1428c2f49b9", + "IPY_MODEL_fdaa8256d421455e978713d76e1b3390" + ], + "layout": "IPY_MODEL_e6c83b28a4154b28809a3138956e8fa9" + } + }, + "e8952fb857834044a78dfc2e57d79e53": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "e8f52ec5c7f842bdabcdddbb6bee9e0c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "e9f30ba065fc4f3a867c3e090725462e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "eb72df2b589f4bd2a0d5e317f8cc4de3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "eb7827b65b294e74aec9cab0c9c512b4": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ebe3c6d1f9ab437592ab87175e82edbe": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_30e56f7eca664e70a285e4dd6c2aed8e", + "style": "IPY_MODEL_19e0d777034944e9817f831ae9118349", + "value": " 1/1 [00:00<00:00, 41.65 batch/s, loss=0.0242, loss_valid=0.0159]" + } + }, + "ebe7513d7ee6460590c19df98c6e634b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ec11ea2843744a12888f79d0d283d62d": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ec4d966c98bf4919888e73d5a1a24355": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_a1c18d9e031145a79aa710ef7f3e0deb", + "style": "IPY_MODEL_3c42454f24b84e5891def47283a7927b", + "value": " 1/1 [00:00<00:00, 40.00 batch/s, loss=0.0249, loss_valid=0.0252]" + } + }, + "ec6f76fc8dc444218184f63820b49e38": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_0f6970f819314f6db8bab5083fac2a0d", + "style": "IPY_MODEL_cd980156396c4d90bbe0c3fd70a2f77b", + "value": " 6/6 [00:00<00:00, 23.42 batch/s, loss=0.0242]" + } + }, + "ed0f029e99eb4c13b21b2eac7bb5b852": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_67676da148a54e7bb4accc5112b52a50", + "IPY_MODEL_10ee1940d46140d88b6953334a6d60c0", + "IPY_MODEL_1cd7de91e4e54647a1d5a5807f874056" + ], + "layout": "IPY_MODEL_75275b231ae04fe38e017eda29406ee6" + } + }, + "ed23c1a9b28b45ecb3cf23ae5a9e5bb5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "edbef426fca04ddeb9ee8c0888253647": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_17cbb829364146f1a6111a277aabe8b4", + "style": "IPY_MODEL_a6a4046f38104bbdae68c01902697a19", + "value": "Epoch 3: 100%" + } + }, + "ee31040284dd46a4adf04deb71f0cde1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_8db3c05656c74eaa968fb29d3fcaab1a", + "style": "IPY_MODEL_688732ad65b549e496d1aac3e0146e35", + "value": "Epoch 14: 100%" + } + }, + "ee45ea12e8504b59a613ca35f9ca682f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "ee6f2149f3d1483286cca7914d2e85b8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_5bb0ebef3bc344d5aacf512cf3620733", + "style": "IPY_MODEL_02d28f125c7b45959833ca9c040f9984", + "value": "Epoch 21: 100%" + } + }, + "ef782ba93aa4422ba81057158dc83730": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_d68806b87aea4883bb2ac17dc8cd6c51", + "style": "IPY_MODEL_374c190d3a354605a0657d4e23434606", + "value": "Epoch 11: 100%" + } + }, + "f037193371e4411fa11845adedb3632b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "f03af1e3981149b681627cd99e6c1d59": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "f0a8a5180a2c4673b0b81213353a862f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "f1d7f9679090424b9abc7d2fc5d51fe8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_093d888b7e5946078cc0300dc95a04ef", + "style": "IPY_MODEL_282541b5b7d04f2688c9901ee9d1a71b", + "value": "100%" + } + }, + "f20b8bc35d3b429f92f17cc1242523ae": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f279842e4c7c492a8fbaa3dd5bf24226": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_6cd28c42dfb1454fbb15b857d5ac7b36", + "IPY_MODEL_c98d303e8dba403a8957c3278fa174b2", + "IPY_MODEL_268ec65f81d74c3dac4251bbd2218cd8" + ], + "layout": "IPY_MODEL_b4545d97b9464453b69d2ff5e9418368" + } + }, + "f2c09dd2fdb843c0ab1ff025ac586fe8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_c14a4b9bffdb46ba8ff06fbfbf0dbed0", + "max": 1, + "style": "IPY_MODEL_41e1e946ea674eacac6dc7fd1993f456", + "value": 1 + } + }, + "f2d6eebdcfb84e7c8b576db61fea3ef8": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_80ce12e803264485abce90412654776c", + "style": "IPY_MODEL_272c285d55be4b19857834c3dcf26f40", + "value": "Epoch 0: 100%" + } + }, + "f335808181ef434cbb54649856ec7c51": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f33f08247c3b4810839103f1d32d0a5b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "f38eb882bbfa4ce787782bf8753dd34a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_0b6dd11676774755ae3198d18af4a77b", + "style": "IPY_MODEL_7f7a363f097f470fbe6816df2c2b22bf", + "value": " 6/6 [00:00<00:00, 22.91 batch/s, loss=0.0291]" + } + }, + "f3a85f968e7c4a11840a743342ba8a0a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_a4c7a10111024a8cb55074af141cb738", + "IPY_MODEL_66dc3cc3b32943a2828cf29674278137", + "IPY_MODEL_7bc4773d49ca46e29764232bca964009" + ], + "layout": "IPY_MODEL_8cb349b469ee425c9fee6c2490dfa245" + } + }, + "f4ca390769604f36af41977d655d3b7b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f50d518953fa4c1b94580935625b3179": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "f57886dd637247509c0b70decca05b51": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_2b5a93f3336f47ee95e54de36273483f", + "style": "IPY_MODEL_ae40eff75c1647b68dbd788561274d51", + "value": "Epoch 13: 100%" + } + }, + "f5cfb7343cda44578efc0040112b8a7a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "f66291cba37d4ecda641d5060d777e5e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_828be11ebb6049f9b892d060bc31c3c9", + "style": "IPY_MODEL_2eaa653e40e6445ea903975fe4a78a09", + "value": " 1/1 [00:00<00:00, 41.67 batch/s, loss=0.0221, loss_valid=0.0243]" + } + }, + "f66b0e0f1c89438db0904ef946cbb35c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f6874cdec9264dc2aa59df8ce539e4f3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_d330dbe31f4b4b44ade4941c578fd1ac", + "IPY_MODEL_37ea4e5201da4727b357fc6c9f9dbefc", + "IPY_MODEL_6779d034398c4abbbe4c408f11c8584f" + ], + "layout": "IPY_MODEL_f5cfb7343cda44578efc0040112b8a7a" + } + }, + "f689e0c4c0a44a7f96685a43b0fed6a5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_adee9c179542404e86296b2eeb7a090e", + "style": "IPY_MODEL_29cd734f249e412a91fb92f1e2b3be8d", + "value": " 1/1 [00:00<00:00, 40.70 batch/s, loss=0.0323, loss_valid=0.0266]" + } + }, + "f6a7115d606241a7902c65f6e7b85507": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "f760492446c0428b9df8bc2059685d8b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "f7897f831f6f4c059b8bf65f6b072926": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f83e92d156b04c18b75372ca42975645": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f867dd42b162435b846be378925dccdf": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_f1d7f9679090424b9abc7d2fc5d51fe8", + "IPY_MODEL_6bcce461bbf047829818899dde04b193", + "IPY_MODEL_1f2441ca404d4121b89db16a22582a0e" + ], + "layout": "IPY_MODEL_88dbc99a7c104c73a3b27e830bb18543" + } + }, + "f8a3c22b856649b59ec9aae128852623": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_d0fd4e5852354bca8521754099b47a42", + "style": "IPY_MODEL_1894dd698e6d4320b0d9856926f291e3", + "value": " 1/1 [00:00<00:00, 40.00 batch/s, loss=0.0252, loss_valid=0.0209]" + } + }, + "f9ec2ef42af240358bc8be76b89c400d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_c0aa52990a4b47268ad87cb88ae0b690", + "IPY_MODEL_e78c2998d2a447d49674354f5541e140", + "IPY_MODEL_f38eb882bbfa4ce787782bf8753dd34a" + ], + "layout": "IPY_MODEL_89fe39fc4ba840b9972a50fcf77ac19d" + } + }, + "fa5ab57e39dd465dae6d8a86595bcb68": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_168df0daeacf4137b918169e55728e69", + "style": "IPY_MODEL_98e4546c48df4bf0873ba2a90736e845", + "value": "Epoch 0: 100%" + } + }, + "fab644d4259e4f96a0a1616836fdbfb1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_ae429db41e1a4bbca9416472d60260ea", + "IPY_MODEL_2f38a28d9294424ca5c2070e70bc63c7", + "IPY_MODEL_39709e2ffdd64132b4c178feac82ea97" + ], + "layout": "IPY_MODEL_b5241ca2ae384e1a80a6525593edd551" + } + }, + "fb08790c93f64cfd9705e45e4dd08f10": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_0251da0b88914dbcb9410fc86680777c", + "style": "IPY_MODEL_369dcc7f0d1a42319ef0933b33933b86", + "value": "100%" + } + }, + "fb16eb9659824ed4907df592b20812e5": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "fb5c7c5e62bc4fb4ac20dd293229951a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "fb7e5452624e43529bd29b9675cb6519": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "children": [ + "IPY_MODEL_1f8455a29a1f491ba6af98e131ddca0d", + "IPY_MODEL_2893c70cfb974636a9dafaa674ea6060", + "IPY_MODEL_fd075dc942ce4f7da746d15c3690a4ce" + ], + "layout": "IPY_MODEL_02e226c1dd6d4cc1b5ca6b90ed7331ad" + } + }, + "fb8fd20457cb4bc8b5d6e95bdc77a292": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_c09aac48121a4c19942caec8459c3790", + "max": 6, + "style": "IPY_MODEL_8291eb66821f4f5c89de8442f837fe1a", + "value": 6 + } + }, + "fbc34a52d85d425a9e6bd4ca805bf83f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "fc479f142f2d411faaf00f2e83161f17": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_bf8dfe80f2c64fe6824bb11da0956d29", + "style": "IPY_MODEL_608760915b134d639db72f6bc3e20cb1", + "value": "Epoch 6: 100%" + } + }, + "fc4fc72915a74e9bad3a3a6a7c2e97a1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_4668ba7923d84483890585f5b3d3b703", + "style": "IPY_MODEL_97cf9cb3411d4256bc1bc65180d7e488", + "value": "Epoch 16: 100%" + } + }, + "fc575fc58b1046fc9d40d7c4d1dba9fc": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "FloatProgressModel", + "state": { + "bar_style": "success", + "layout": "IPY_MODEL_647f947d7e6f47cab7e59160320373d9", + "max": 6, + "style": "IPY_MODEL_0029a4035b87412aa65a2f8910ad7a2d", + "value": 6 + } + }, + "fd075dc942ce4f7da746d15c3690a4ce": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_a15142d2ac2c4f4ea721e14785cb1cfd", + "style": "IPY_MODEL_5e80bb5ffe8443c4838889027402ed63", + "value": " 1/1 [00:00<00:00, 40.00 batch/s, loss=0.0253, loss_valid=0.0182]" + } + }, + "fd11cecfaf4c45f2aebb2a495b83eb26": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "description_width": "" + } + }, + "fda3feb01eca4d209a05fa500ff62bdb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_e9f30ba065fc4f3a867c3e090725462e", + "style": "IPY_MODEL_a7e8535ac9b245d28090a4e8df14a7a0", + "value": " 6/6 [00:00<00:00, 23.49 batch/s, loss=0.0229]" + } + }, + "fdaa8256d421455e978713d76e1b3390": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "layout": "IPY_MODEL_c04add7fa12f47859f805a58525ab5b1", + "style": "IPY_MODEL_1764417e1a224b74b6f758a04145a05b", + "value": " 100/100 [00:11<00:00, 8.58it/s]" + } + }, + "ffe0a89f159b42808db054e5d872b097": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + } + }, "version_major": 2, "version_minor": 0 } diff --git a/src/index.ipynb b/src/index.ipynb index 23fbb52..de579c6 100644 --- a/src/index.ipynb +++ b/src/index.ipynb @@ -18,6 +18,7 @@ " \"generative-models\"\n", " \"diffusion-models\"\n", " \"python-3.9\"\n", + " \"DOI\"\n", "

" ] }, @@ -106,7 +107,7 @@ "pipeline.scheduler.set_timesteps(20) \n", "\n", "out_tensor = generate_srv_tensors(pipeline, \"Generate SRV: [1,1,1,2,2]\", samples=1, system_size=5, num_of_qubits=5, max_gates=16, g=7.5) \n", - "qc_list, _, svr_list = convert_tensors_to_srvs(out_tensor, pipeline.gate_pool)" + "qc_list, _, srv_list = convert_tensors_to_srvs(out_tensor, pipeline.gate_pool)" ] }, { @@ -123,9 +124,9 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "execution_count": null, @@ -134,7 +135,7 @@ } ], "source": [ - "print(f\"is SRV {svr_list[0]}\")\n", + "print(f\"is SRV {srv_list[0]}\")\n", "qc_list[0].draw(\"mpl\", style=\"clifford\")" ] }, @@ -159,7 +160,7 @@ "- `0_hello_circuit` [[doc]](https://florianfuerrutter.github.io/genQC/examples/hello_circuit.html) [[notebook]](https://github.com/FlorianFuerrutter/genQC/blob/main/src/examples/0_hello_circuit.ipynb): How to sample a circuit (conditioned on a SRV)\n", "- `1_editing_and_masking` [[doc]](https://florianfuerrutter.github.io/genQC/examples/editing_and_masking.html) [[notebook]](https://github.com/FlorianFuerrutter/genQC/blob/main/src/examples/1_editing_and_masking.ipynb): Presents editing and masking of circuits\n", "- `2_unitary_compilation` [[doc]](https://florianfuerrutter.github.io/genQC/examples/unitary_compilation.html) [[notebook]](https://github.com/FlorianFuerrutter/genQC/blob/main/src/examples/2_unitary_compilation.ipynb): Compile unitaries and transpile circuits\n", - "- `3_dataset_and_fineTune` [[doc]](https://florianfuerrutter.github.io/genQC/examples/dataset_and_fineTune.html) [[notebook]](https://github.com/FlorianFuerrutter/genQC/blob/main/src/examples/3_dataset_and_fineTune.ipynb): How to create a dataset and fine-tune a pre-trained model" + "- `3_dataset_and_fineTune` [[doc]](https://florianfuerrutter.github.io/genQC/examples/dataset_and_finetune.html) [[notebook]](https://github.com/FlorianFuerrutter/genQC/blob/main/src/examples/3_dataset_and_fineTune.ipynb): How to create a dataset and fine-tune a pre-trained model" ] }, { @@ -227,7 +228,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Requirements:** `genQC` depends on `python` (min. version 3.9) and the librarys: `torch`, `numpy`, `matplotlib`, `scipy`, `pandas`, `omegaconf`, `qiskit`, `tqdm`, `joblib`, `open_clip_torch`, `ipywidgets` and `pylatexenc`. All can be installed with `pip`. In `src/RELEASES.md` [[doc]](https://florianfuerrutter.github.io/genQC/RELEASES.html) and the release descriptions specific tested-on versions are listed." + "**Requirements:** `genQC` depends on `python` (min. version 3.9) and the libraries: `torch`, `numpy`, `matplotlib`, `scipy`, `pandas`, `omegaconf`, `qiskit`, `tqdm`, `joblib`, `open_clip_torch`, `ipywidgets` and `pylatexenc`. All can be installed with `pip`. In `src/RELEASES.md` [[doc]](https://florianfuerrutter.github.io/genQC/src/RELEASES.html) and the release descriptions specific tested-on versions are listed." ] }, { @@ -304,6 +305,13 @@ "display_name": "python3", "language": "python", "name": "python3" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } } }, "nbformat": 4,