From 276a9ea711a46f940c3d883b215b6975bb65178f Mon Sep 17 00:00:00 2001
From: Wojciech Jarmosz <wojciech@jarmosz.com>
Date: Sat, 15 May 2021 16:34:16 +0200
Subject: [PATCH] Add secred to project

---
 Jenkinsfile_train                             |   2 +
 linear_regression.h5                          | Bin 49808 -> 49808 bytes
 requirements.txt                              |  11 +++
 sacred_exp.py                                 |  80 ++++++++++++++++++
 sacred_file/1/config.json                     |   5 ++
 sacred_file/1/cout.txt                        |  11 +++
 sacred_file/1/metrics.json                    |   1 +
 sacred_file/1/run.json                        |  66 +++++++++++++++
 sacred_file/2/config.json                     |   5 ++
 sacred_file/2/cout.txt                        |   8 ++
 sacred_file/2/linear_regression.h5            | Bin 0 -> 49808 bytes
 sacred_file/2/metrics.json                    |   1 +
 sacred_file/2/run.json                        |  64 ++++++++++++++
 ...ed_exp_8150ed54d93299dfccf6867ea7220971.py |  80 ++++++++++++++++++
 14 files changed, 334 insertions(+)
 create mode 100644 sacred_exp.py
 create mode 100644 sacred_file/1/config.json
 create mode 100644 sacred_file/1/cout.txt
 create mode 100644 sacred_file/1/metrics.json
 create mode 100644 sacred_file/1/run.json
 create mode 100644 sacred_file/2/config.json
 create mode 100644 sacred_file/2/cout.txt
 create mode 100644 sacred_file/2/linear_regression.h5
 create mode 100644 sacred_file/2/metrics.json
 create mode 100644 sacred_file/2/run.json
 create mode 100644 sacred_file/_sources/sacred_exp_8150ed54d93299dfccf6867ea7220971.py

diff --git a/Jenkinsfile_train b/Jenkinsfile_train
index bb69b03..47bf9b6 100644
--- a/Jenkinsfile_train
+++ b/Jenkinsfile_train
@@ -17,10 +17,12 @@ pipeline {
         stage("Run training"){
             steps {
                 sh "python3 training.py ${verbose} ${epochs}"
+                sh "python3 sacred_exp.py"
             }
         }
         stage('Save trained model files') {
 			steps{
+                archiveArtifacts 'sacred_file/**'
 				archiveArtifacts 'linear_regression.h5'
 			}
 		}
diff --git a/linear_regression.h5 b/linear_regression.h5
index e15841a0210b79f5e439c8f5463898f894da0d77..ef7701b10e32ffffe0a0556d4ed31edb3663ab1a 100644
GIT binary patch
delta 9890
zcmZ{Kc_5Tu^f!Yjvai`GsceIp=iX;LS1A>h_PuQ1Bzq-VHTER3j3^|u*+LZNnRzZ+
z6_tuMEs9EMPaD#UZ@=&FegAmppF7X_+;czo+<WJobI&uWaZ;&qQkBZmlKRyu((hRI
z9`+I&e1b!LJUD+_?%$S>2oBjA<Q3?*%WIooNU#T6LQ>-2k5SrLEkUHaw!l-CVtLpL
zj>(>t)E6w4b7Fb01p>JomaU0ki@dsE)>!tiBz>HgAZhHj;f__~PD@I1(#P3VcgSy(
zl;l<~8b2%`Mg-H8oFyeCsza1-4a)_Ns#;QngsfnOs)iItLT;p$x0e|EmtIMbrm8+d
zby{_Xz+6pH-rm~V&nuL)k&qZKn4zXI&fYq}XKS!eAZa5oQqz>=2naPpdCq@AWr4Ap
zhCKH_C6y7S;phKRQXR#K|8TVtT#^vnSMw4isH-Xd&+yja!<5<rwz`hI$G=k;kq9Ex
z4TdRm)h8=*Mu!;fCLy6Kh*F<0Y}>nG;9u^)fc_{z2plvfEB;IR7cl&*ku(ha)d(6f
zQo{JJ#^e9h_!lr81vml=&Hu>%1tyKmQt5wY`LE1uq_e_*#taJu6`E66=8|X68c0@Y
zS4yfVjV!p_zpFm7__EcFI`z_mMQjC`@xzab)oBLJ(o(V=$ErO{g_3*?b}^HKQ_=PJ
zN07_PRanXE5Y~7j<rp6I9VxF$MDmM;BHb~5=xjhYp5>@T^=z=fvYGyjfBZJatG$?7
zeRLX%eoCQr_ZFfbzPWg5&qGmP|4r(^mOAF{E;}3*tAf9TJwWsP8^mT>zYx168=bLB
zWgOg!sQoW$`S{fVHWQQ=$7n5|%S^9aid=+8u-tlt@WyhKZD55(2Hz-Cg+%c;RvRYz
zUo+mjG8ormd+>q2B`9o063&hHM74|yBPC8pTpu}fZ@n*5Kpnu=myY4t7KW5qV~}yL
z$)Xl@zCcIIHBp=H3=|uZg>9ZopyFQsNyILUL7k7PcpkPl9r{efR9i?f-Zs4zFAgaa
zTRno<;J6m5e^QH#3Z9~jglMGLsD{mUxuc;Rd+cWNi77W0P-CW6qakMsc|U>Z&KY<7
zGa?PQ-W$ZOUk#aiCXk`je3=%70%oa_E46}rD6ZU{MqQbBQ&i7Cf0l`SnZzs^|5~ia
zmY~K5+!p=$dQ_}7u9yn5ZE<*^=tQYUYcL_Y{tVC9idnJGkx5RR%&b?<r*L)<rF_Sj
zIdi(s!OCVVHi(nKeiOGb@jW8S)zy?4T+~9jjqMf9oB33{*4&TrcR7Lwv~G&Bv{KPQ
z?^9^X`^#ef$LZ;edrvqLI&8spcb%}2@gGLF<Q8(>n900qe(ewxU5~U~5>c<0KC%iw
z!~`!P>dmEhpgnKB(8(34C}T_{cDZ|zSze}wC(b>B7Qc@}dA}Zr2RfU@^IGRq?aE(x
zmzGr^wJk@mn{+iE45snd!ZXaSjtnvGDdpp?F(QWb(3lAse}(!|Hl5mg%nzNMF##nl
zJkCUQf2StL-lMcE^KjcaBXR0p5nh<BkACTzV4I5<FxcaY3+mOV8~t(kQ$!Lf*z#1Q
zDR#!E7*ixrYR7_qni-_Gyk7D~F7vENmwB2~jJA?j&~txV>in`#OuQ7o5G`NfiK3G$
znYX1;=x5L(OrJ@|F-13-hQvAeN=FX9CQ~YI<Ts&BMq+g0yRt)b3mXlN8$L6w=1AE&
z5iNfdgJfmO9h~Ay(HfVds5{FF73~T@nX?B_7DpK`DdVG`P=M)ml@2vq1XOl!3{Gx5
zi=GVz;Lm*Pe(I2-7W&|Jfw|xrh1bZ|A?8g8=6M%TifONzBWq`)+}u;hinK?yU0(Q}
zP8@zTT^5(REJu!t<<zW<)8c)ZcX0UH0CeckQT!}Y8_7(*fhR<j;d}!FM!!@Wh4iaq
z&QpKf?lP&q`|?6Grs=nXzUEFUd6iu~|7<}7`t%?YEe+o9uyS=gPSfj0eQ!AU^|K8~
zDMSwIZ4W~4gI?ncN&E2Z{w^e2nvVK)6R2R6ffo2>p))m$@S_O`Csyr7J0jh1=1vzh
zcKm5%q%6dt$D5f|^b1NQdUCyOUZQAISq<_n3d6iq6>8~838Wvu=i~9;l+k0g2h<Dg
zCwNcbEX3<yfS-jNMFYZQtT}Tb&dc#a0WVva=$)F(=4NxOkm87$$(jzYH^iaC{|J%i
zvqUPd9Wp=W9l%j#O_Y^F1QtiVqo#?zV2v%>=zhmu)cola<=LBzgQSY_Uc*+rvF9ps
z$vcXqw(-|uxrGi`m~Kyn4qia_LYu{@k2fNP6SZjW=0fo-4hL6<1&g1}SdU8#Wl*_B
z0cxI^g{&V>N80MY9WLlk$D7$)RPI!a3yxo*?AAA-wOI|~isprg74V+Yuv^PC8%v-c
zQ;V5#=|R}$Y%0}I`jrYOw!$#$C+^`lo)=5pT#Cy@*QgUuc4Osz{Y>Tev%HP@OHn)9
z7r)Xm!I|BDRIsHZ-pM=7taf)|9K<Rpe@O~8EqIX0ytWs=F-XTQ-7R>!dJeUv*n&#D
zunF@AnwfUP7)H^0D|YtLVa(T#LzUUl=v!EZSgyGinNXQ1k;gFnS#I^{_wZplV;+kA
zvW6TE89Cxd#`Dpp`ImSOx+Uo0kxOV|-7|c&ssK;9W=gsDT%lfe-oe)A4l=9jTdCVV
zImqop1QT%W7@pB4kJo3j(T8<cspE$C(4x{ohuG<>P}<8eDB@=^Zv{uQerw!eCiSBQ
z=KZQ>zDK3-(OuPbsPL30R-yFqrl$wc4)rA{@yrRT4-bhla^_GHt6o#n4;4{&SLorJ
z(;}Iz&yp!QwhPr!=gb7@{t>nC1k6V97v@k=A2VUrb4t>xl9}w+NzHyQhpQqEh+{AG
zGb7RPrJFMPxHFsamgr*c-bup|9!X3|6<-0T^xa`1CcENw^$ASjVOgy4yMj6#T*Gi~
zi<vulFDa{O^%PJk5l7A3!fdL)h@*7N(4~1B@CW8JsxXLW(!^u%+pU|h-0;C|u8?vx
z-E4{tXGqkqd$b1+HuYe|L(iCNHY8pWa}Rq+r{W{d`xxp)0EM4w;uf_PY@GJ~4$@vz
zPU(MLjNfE^qy)JZ=F2$8#`0>4*<#!MeWJQ=m82D=Y`QUghe%?w5swxW@aAkg#oMqu
z56*oUBc59_gQR>+c&?jGcth|S7$2%@uP`welD^N#?&xs%tt%f6dtoS04)Yg8TbhhS
zf5FFfG1XJ8wy`8R)yHg-WkxdsYpyfvKd>JRgWT#6-e2&~^x<^DZ#!TX)v2P=#{Imw
zlx8%u_$&$<ukJ9XZW(%Rp~P5v6=Rv3gUqiCBcv3x7pW*6Lt#NVOwLXYGf^CaW#+wR
z-dH>16K`1PcI*s1%knE;yQu=3_@6>8KWJQgcQ+Q;hT?NDoAU9Z(UVVk%-XkCQF3A_
z&XO(RGnFqM;v&0a%xb1U+~aq{!OLP!{YrU9Jnw2Y^1iws`P3!gl1(i*cXlFrW-%5$
zye^_vIQruUpYu>#Lkg06<4V2Cnva*x*@L=QNuuZVH&DKR7PjZl<NYM!P@rQO{wa8Z
zr!3FKtL;uO=kf@~vR<7U+R=z>PVv{H9~C>$UP2YcWyavLmD|w$@CYXPP7+$>tSqt%
zZ>C)Bj-o|HY;>`v%VB%wa$LMS7j=BZs3!CnrM$-i-|{F!nvX>cH<!k0GYYX~yCr%a
zlYv@E*?RaS5*=O_gQvZ@jMnCupncOqQFKiQKKWURnmJdD-1wVw887)VW>-cqCN`a<
zth(P*jlUokYI{3`GzBBot^#D8SA`pt`Dn9CmH1$8A@ew@m}+g_f_@uDBktj1RI^)?
z3ArALlV5$n=^opWmYFtglW?G31>VIuE=Q<lqZ^`yehl`1l!j+y05nuI2Dg}~VEH0X
z%-^rwfo>S`P}4+dYNF(JWMZ(2Ik6%geF?ve9pXC}k11YA`Ripo4Mt!;#b|WxXa=hG
ziAVPXzcS{#@{q$NGsgS+S{znc&KL(r;_Po;C{V0JflCxMz;Gz-*{KYRVVJ^c=aF*n
z9fS<+sf!ujSY_BS8!Ck_?)09Em8P7f%I#k<tGAmw>}WWHmAX$-pS>^RocDF;)Ts(A
z;njgJ%JGq_Jwh|M(r8k*Ka$jKL@g%ku;-0b#`{tmB|cTfq}Tw|bUX^(V$XF*I*@`F
zzh94KBo5->ynX1i@e#yvJ%zHI&2Z-ZbGX2?1UDb!_fm)RWzlXWDWtL_0j)Do#XaO%
zlu9DBdsim*z8Q?ZI_e>rL#+BU$Mo^m`h1+9ybUdjtwmZ9;rMfd5gz(niPr1g!c*H#
znX~<4abt@jvr(pxDzB--jgxG}1Fc8!$?@g5e^DIHIVr|h_ot$WqIg8Ctw6o}Q`PuR
z`+Dr$IvlA7^6}#`9?D)@Aif)W9WSNUW91`04wF<Fba>_1`X(h`ynl^3TH<(-+IBhx
zudj%tbj5|}0~L+?pPa=B>Z|aaASWc!yhj}fUXR)bRB(uV4vMZV#_ZBc>XUg9C0Kfr
zw_&3i?@(qbEj6G(^7CIR(`QZc=qz=D7icn6HzDn@=-uK}I<~Hz{2HJv`bD*qY*rGP
zd-X9HSgQq1U>N<@>l$sbnJrrISXNZjuuZhd9n-ID)X2F5(!7bUe+bF2T(Y8ZrsyAE
z0a+?HOH^j!DWvVv=)r|e<Y$Xy(LvcuB4m?H*Ua_hleZI&i=2(H&|BcfJ27t`k61lj
z^v>`;ujQ<nXzsd9QJwru(KwlO^1)XDe0$A^SMtP-cUdWn=V59__RRSt9OLniNbu=2
zx#vm|nb*b<WmgltW6eYK^xj5N`$`tQL{oydQH{g1KCwbn#di_quHHlEjVU0bMVsmO
zA^eZ@+TfX@9`=_ymA-GHt`|4yMY9;PUmy^fd3cM=9kS_XpH4xu#X|Dz14K4i*$Af)
z$LI$o>*+OzCX4h{2g%0kV`+D`Jl!UrO<ufqn$By~5!nQJikjzZ(YKz=<-Kfa5~==j
z6UofJLu<|1K+_2=JeMC@v_!T$&y$Zd>l%#O>J-Q6@yulNgdwy1L;@!@5i%MQ-oM#G
z&zz?rQp^~jqfKJS2+b_=JR<1qfmXU^yDx17rU6ZdC8U){58bxjnm6$c64|!jC4YSQ
zC9Knp;+f=CiuRPP<V{~(CR%*EpX`fQW{Dlf(<8z2!=%|f&ux=Q{$BPNQJ`!Ue0v~5
zT;(Uh+p|4Um^gbbz3P_~S?L%Ibgu@}D#`)8{fDJV_v{BE&8RARs+%&4XD5L1+F9g|
z#uK!hnLbZ>xsfRU=R5M=KAq_21LwgANo&e7aK2zMPq!o=-VT3HzFw!yOaA1-8(I+y
zY@LiiiqcCyIn{?#x6NNj-+Tr{dM_7{t*S{P5a&nV)YFbO73_ybJJjJs=RnAn`vce4
zegapG<3KcT2y{8zCuY)!%yp84GnD1w*4H$tKHCgdescr<o-EjS=_k=<(nVNOcL-0(
z2jEHjB$#S{8QhGyO3cx@0?ao!LRWMCcn~|gk0`uZNxqG21^owqgX8;F!o`8RfE_U%
zI^K~cPhR;47Or;$uiSe;@g67GFwqc51jNEgkxKB38VOC$r;+oY4FS#*eJB|)5#|xw
zV0xDfSoL~0s2`dQyXul*^n()cYH<uWo6i7Wv(<31UNq>mN(6KG;ww;7-VUN<TUhh5
z47}K<1lJr5fR|GJ$mj_s(BMZNP}5xuZKF=W*6;Ix+2<6fedq@`zM>6;d3}Swr8<C*
z!Xy|z*bVC*+Q64p1H{w&C&9yqZ$S6YUO>oS2Z?%05c1`qT#yyKB4CJX#Q;>bZh(*W
z#X*IEvM9KvDIIujRHFoY3W5bD^ZqxTxIS+<V<4&>-Tr0_x0e22=|uL5eyP#i;#k<e
zYJ;^mCI2QG-$vVozDKGf-GP*f*2qctTfQ(G{;DCk<`we)NJn~TRJ(XfOHKIym%*xi
zeO`_-R4?>(9y>~LYj0Gw_LkUxYahqLEJvl)xAqQaH7wh;w8T9Gc1m2NE#LHkaJ#1_
zbaS)t#;a_)@`x1?eq*LpO2Yu@b3UECdj5>)Sdh7B!_`7q<fg)!?E9OZaOVfP=k5Tx
zqH!ZndS{Yw$GXShSoTZWfBP(YxlSxGzFn0yJ!(At$)gMK=6b>_KNZMLcBkPO$28hO
z&4o`-sGcrT-1Qdf(0Lj~v$N^$+FrWFo&ZkA_XAe{0^W>sh(4BboP6R-)5SM4phL|V
zlPZ=oed39T-eaFqS7O%-61Gm`Z9jY-#*a^=+h$)8dZvye<&&Qqf6_37@1BT-H$FO$
z369dF70w{H>8&9T`v;25^H0$W6Zyr&@>SZbD0UES0~5(0{tvjneH>3Yz>wJLog=*9
zeV@K!d6fRWa~WJxQfsmZOM-_7is-?E=CH$g4v{!^h>Y5x&im=Kg}3xmIPd=2J@f*V
zd#0^#SCLtM&b-Kjopl>??h+cs#v<AJ^`xclPSF(SZ?tOVZFujLDyxORvVpEzbBbIv
z^qssOK8^Q4auyxCdLy~R?JlqS;e1|GwH=+Nmv6c&U5(r@y&O6`F{G!i3Wph?=gG+j
zmyioi-=Y7!lciDV0+<l!s<nmxR=6qT7`eeZh1~z+2x(CfPdhwWOKKW~iN?(`6wS8V
z%QZ^UW_5Hm&>33AB)@Euu29E5lypmJ0)Dys=rSW4Q8ei;%HCoNiFkF^{m`@YQ_lkW
zspj#zx7+vBG?kCxfiD&Ghh(nk<i`ln$+>0li%^Z#J>?ud$M_X(F<l<W+i0`CH?euA
z3(iAZ<<IoSBQdn1vJOjnnHGz#+etU(FC%BOgu-|a4j-gG&L=9@E+&V}SCWc9GRf~P
z`NBuaq-m;?J-i?~MA|6(g2D<L(D!gNEkQhhYZ{G36BP33zDS*D%Nz|>Mp!%@tiOv4
zkJS;Lh@4EizRx*l6cSGYe=pLku9z(C%N5G(fTj=at)abiJ-O(K3oI(sheSdiy#w<L
zNriLEdD5R*ytkKqg|h34Oy1_b0N!uQ$!2yNsGa`>D#uZE+~1wT$}94uAag(6YF8+H
zDOYH!-tZ56awwWsK$5}=`#w<nO_^8z0Mlji0isyP1EQ>FV@M`vx5<Ohm2`%tjmRW$
zDV#v4u+rMXc_p0R!dH?qbU%MVHQmORfQyf*v!YkA=>yLCbR^fX4jx{Ae&xM9a$m><
zGHPrZoh`A4_I|O6xJ&A=Eca^Cp3<tMc&@C_?fWyXfx|-LQi3yS7xtU(ez%YAa|eXd
zb{*Ecr*r8?mHS8^W+VLaX%D$B(ipxAWsz3%v_xpxE;=cs4)U3qs?ks90=iZAEy%i2
zO`g2kM!pKb!ue6J$ihvbqTiFnw3Wv_xaO`h>(z>M+V!>;Z^<!5-qZ>+UaavQ+D~Xs
zx^5_;Pbd(=jxlM_k1$}>0Z-woNB%H8U=w-pUM%Tdrwk{&-$L#P-byRKpoM|+*9wny
zHJcXt7w}={YzHVYLy2_BOa@Oo)5)zLzQR7J!gI1ZPkxboF3gv4G5vY91Fn<*1tn#Q
zg~u(EfS&Ig;NE`}G=8pvmPaO&l6}fB&Mq1(I%yBrw&cP)ZC)Vhg%&v=JOJrXWw<W$
z0J&i3D)=zJ0PLJL4@UDPVac2AApRMDF(^sg4lTn&Vb!XWp!rV(ut~`S3-*tPZL%)l
zo%d~!GKEE!&pZS}B~l<2^BAb@l;%!i%E-Et3A|Fhk7T4ElGnM%8tmQDZ?hxCpBVAt
zvnK83g~Y~?XBM=Bl}1j)##$DSd+{k$k7sdLoNxh)H_+tQ#sge0{(K!M63fBdjVh$l
z=4Re~!69f+Z)0a3eu2}fPz7%lDLB~vJV2(I`a9@#3<7QI6l?jnMVt|mh4tS-X3RFy
zp^V3!F|dZ{k-SaF(r#qVuNfQz^PSwWbLYWlVOE6T*-9SNo&-{59>DMtdk4_u!&|WH
zpykLIf>)*!s#D{?ND5lLwX5?J?EfcFrB!cA%9Z;sdL$eIl6<2NAA}EHy(SNjC+ME4
zPT0_8ORERy2vfZcSXm$JN7JRMS06~vm4|`2c(Uk0u@2qss3EFMFM*lvOx?;0@ibkN
zNbgXZ2pfL))>%kP)lCU)q$6*6($kmlgofXASZ_2nYX|d<N$)Y{JefVlBA-j9Jmc(2
zXe*<~AFh?YuN#@Q+@(Xjr1}^1W{=34-tYurx#E!M@iRyIJJXh*+{F<N20o-cSF`H8
zPWC|ChS{V}kG`n<`~sdr>{L=OL78>@^ebVduLh52cTkiuZXwU6I#KlU&MNYAk}hk_
zj-A304*6O!J<czUbQ{-3(^OwwK|8-*H2cOS(zv!kc*(I^ShT>2?DA~@J@aPJGI2v>
zz|~rE!t!#_@zNAJtIvSNh_{vB8Y3r4@@4UYvhLB()P~58LKEQ>Ege?DlP2y6NycVl
zsCF)l4qbGwa{C_-T6yhS*mig_?HQ;RJxP4x{G40Ig?hO`bz9BPL2rJf3hPX6A^oM&
zkazf{6e%5|!+IK}8@=Iyx=Eb9R3YP4X-r=nDo8qg&1husgVhsQBW=jdIfV?l+c;fC
zpA{p0$ruNyvX)GqW;}vz{HDTUq*YkHt-8@)SJdRM>DOSD6vP_eCyWXgILQ`_^jX%c
zBP=fy3;E$8nzXj6GD%HUqhY2b8N61XwR@B5D9NP-X0VvGN!U0qwKgf#7UZKu(cISy
z;7W%);pOB#Qk$IAgcBTA*Gj-^b;WZJlK0LklZ#FQI^wsckQ$u8QZw%qE>8FaD+_vH
z*^&D~WsfcxD*GNDjn!hYqt}d_Extq`KUrAXxt=yol@pmNOVEdJ*NT8-ecks!3t`~z
z<8+uCB0H(bnj)$MH0XDenu-eaHV;KoVtF6XlhS3mi3ywQm#31QKE`xq-xMf&K#$g#
zJ%(ItqQM$cGmIXwc4&7$eNX-f)QHq&E$g(0i@1+yy~thgN)KO)WyaNEecyG0oNhLb
z`@Z2xo!r2A@*UTlY`y19>mM)>_ExL2ZcUtej<BjEy5~322Y<{XXKfPG#y1bbBV8)2
zxQAM!tHnNji$3T07@9=rv+8bZv+^$;uQMs`hY=@_+Z>J2W?lV$hMc|IkmcqTE1XrT
zM^=vYCkOe@-q9BhTof94sIXk^9@aXKYZYn-+mjy#Ea}B1)+Be`kva``Emq;JTciFV
zDrg#MWK}G*s~#hqR@*7exOQD=d&Wm7`9eGT!Wi`$RPb21TV`=x?}P#1vsROJ!{s3D
z@Ms-*MZ|#@1S+h9A8v5kJExH55gW;Ons*@oaK|e0Wc^Y?ZZO$qrfln|r`v1(6h3lv
zhfCY^A**`=D2Uhzr)^<?isoaxY05XjR8Rq4E&an;&?o_RUDdM>5^Mt8^iuNq&~6|T
z6K!*UYA5@esWrJ_$!fCb+XbkxV?KHM=p)X-E+4B4W2NjzwnXhKO*(8?%!hM&rr7T&
z;t+Wieek)}Il#or*vOuV=X^U=4K4RR=g!LbLi{;uMJ&yAg|62MNUu#nAkb=>Rixz+
zj%sZNe6TZ~)X{zkqtqfukw!G}%&^sJ{<m$TKSd;1P1>|Z!JhY1z!$qDt}Xo=I*#oC
zM_*6ku1xeJZY%M{&{!LA+{9XdtIh$RTYrOzHce!Ff&i#*-C&pBdBXZ!k}ix<7(Q&#
zo}ee~B~Un2%xNZatp2F%vmLP{MSC&KfBA;!NWr#SzHTQ@b-EF~w_J&dvK<poYPfQD
z@&bv2nzG#6Af79z?X}W2cr_e5IB-n7H1USNEX%Upd(PBN^m<zhCktEES;yIa_9nI^
z@io>Xga168G}<PIR@nAlw_sP5D%$AQM6uPinW<~G2u9w-O6+)*Ydv)0kcH8Qb5^I9
z3ayhmEUY~eE!l<}BW>$LiP1hDi(Bo#+wloB7zeKnJq0f&?SUobNnHL7vz)2#R&hox
zk#^Vx&BLMqFuG&!b2-lL(g{--m++V{SHK((*F;;Ntx}Nq;$p|Wr%5z?jwEhRH3rm<
ztFWj&o#2>!vb7&8<~-HcCd+;%lim0Kz?j51GOpa6kZP8+ITt7~dMmb^I-R^~xgSpO
z)Ph?QmH43UpM7v>>l-lT#x;A@vY+6e(rxhQpK4CV6GI@-mI8Zb{RC?l-X$9k<p6cN
z&1{}~kIi`Tdyr`62h|4KK=kUhFroo-`m&|14eLLSTKoO_SGe<(Ct#^b**TuJ=IneF
z3_gBj2w4den?FROP1ud!p!3%i&aC}>N#c55A`#*34}NE!f#($V68mH{tyYa+ZIiBb
zjooC^Nu+i=6Q%d>5MSjaIFV;0EVp=W9Nm)NZ?6;I?c2H5Gk;n)vQsRr<=VMT(@Adc
z0U!1yV=2o+)t-dZk?$6*9lJQ?;`Lms9UWZ%CuU&Ftv*f=JU-2$z>a;<y(t!yKVAa@
zhprIOFBSlcwq|?N6%E$?Pw%rw_IAm*0-*4I5fMM+Z0}IDkK0lbKrBx<&+Ts2nXJ}j
z&$-Qf=XN&Pa0-Gxa%Asbvf9(_M9dy21nXx8aeeEW1<y?l(;8H(8}jClCIQt-g?}%K
zj-@iAMRLKhu(aw2m2LmtUn{D9kE93H71jFx3Or1=@UJWSa-V&(1!5x=5bG1leLVh!
z?N5FsH<d0T`kkI~jMHpw-mf<%yn8KRj#DgLHaQUP3yI;px!GvbeWr=n7Lo$<@*+X7
z=mA)-vW#Pxv5fesS_|&#-2+RxlJ<t5?z6X+niE%o904OGLqy+F<yJgd%{AUU7OelA
z&WE>F6vDaWA?}6~F1E|!mB0_45q!#%C){c@?Gwl?#8J1SM9x4aY}QPL3vO5ty|He#
zE$TF}dsYQl;PHjiwWiQsvfG@<8gr32Bk>D3)^>r1%@%}Ah_UT=pCg3Xg)`s`JC+!n
ztH({2Oai?LQQ(%zB$#gM3fG76E$w_XknPaq975&SPhi<531n1^K-C6gcB_dyA=h~x
zwELd|sRJF{g!AWZH8mCy+1s{*UvmryuhiFeoJVYsrZy3rUz!cSeU67-*4aS$Si8NW
zQZ`VM`v!mkLtJOqai4!shl_lhfU=u4+&)GJR@$(+)o<ro>GLmy5#j|Ja0YDxeuEg$
z-*ba|+~XrLiP=H+te#Eot~d>xS(*0VTvvkXf9``tncm!v4R5(GW`=<9Ro{u%<6=Q>
z{0^{FZ5G$S@RRl7+^<~sqGjOf#wo<{z!+j>{7k}oupAh^a)EO9lVHTOdiJu8YWB~0
zrwO;<ILOa!nn>)*pGka4nrj#0ZU~f@d%*?Y(jZr})V}QUR$Gk#6_D4;hKacwh-*H+
zc1~T|giW(4II6&hU4A)m^RCUDv4UN;@|lL9!Vkf)r4ht5eRVri#dLyME(wmle+Ihh
zETEsJ+~n!Xm)XA);)z?Y-+-=i6QW{gI-lb>QO$0%(-gx0k1H?}IDy1RGYJ{VOgknd
zf_Qs+kkGFB#64&D$Ug9+At-;Y243Ip1p#wyVPUrX)U7bl_Vu(xqB-ajusP>O++1{k
z%h6`BpZ9Ddu6jg)biW<o2RnecIyKks;;kIw!|iE+HOZLJ-Ex>C@|_P{iujfw=e;(0
zsYIIem1!o*vZd@?EN>DCKEHwA2_c7AK930Ky+*JeMiXuoB)of08}7DM0S@Br_II+z
z11;w>V7&P{LXbcFpP>G8;0UjWh?3Y0y{84jyR9d=7njQ0{ouVIK3vs?x|`#O1CGaS
z?Vu|-^3P<VX?r4Y;&&GVC6x~Q{PXkKMY5*E6&pt|-r13Rt<21}L)n>YJLV|y<;_1J
zF}MosB;4%`8ynf{PT%6r3EK~B79Hd;TTMBGj(cra*CUXuHx_Dc9}B04DcZ5Grdoxy
zyydFR=>t=b)N*(EyAqW}|Jd)srl29b9rTvefYQM0Tz-Y;606@%X2i0-<-q75O-S(H
z5LS6L#JmJe*u)b;cFGy3IQX9X>PoV8fb{^e?a2Y?Sv?u-+n58E5?_f8t!D_6B{V2F
zR0O)b4|65XQ#Pw~&53GF4#-^b5AkRZhj@JT8qqZ?253>0u*L8=WHu%MIdIwD`N?p(
z&MYPr%GMB|%$>zO%GnEzC**KT^(#Q(@<gz3Sqi~1Z?UsDv5DBdJc}?`?9c6dYQ%}T
v_&{)$YdCxl`YCy~fs_<XXOc!;+b!m=Yx{`*^>rWX{|b~EM+L*L5~KbP0*m|E

delta 9977
zcmaia2UHYG^Y5~N0)pfW5=12D-RYTSS`;vg1VI!O45*-hNDvbX2uRLKP(%!fARvOW
zGrQA>7Zp*!M7T!G88c>lve)nX-~T)3oww&~S8vs?s;jGex~qFOKUFe6Rq}+Al!Rup
zveYZK6N|-K9TE{85@i2}I{cxItcb`>;VU+TZe0-*8X55$C-M6`_AxAI(kx0`u2mE~
zo@BFFMU~^5Bs7b>WM&lYmf0&|Ut}*kv#4Q$W>LOu%x~)0jLXGHNZ2<wOgJhb;UMN@
zDE#I)Hjhq>muQYx>XDFiV2vxXS5cRAWQ`xAxIIhepSD=if2i2W-*wqPzZL$_|I5ju
zMwRIc<^Qc?yE1e|G+{T!`j5`U|0Q1^vMC~D!x-W}{QuBDfhn4%YVf;TLBC6fBEGn+
z{9QU0wTa7nsw;}tsi|PL{}{536E~*yrw!FVbo%NQ;kIIfVu${qSS;<L0u7ys_WxGa
zDO#bX^Si;zYEvgV{9B+W7C02?sZX8g_;0}^vB0rt!*9WVHNt=UVfaTw^lyzZf$<*=
zd5x+6)A*RcWK6)d|HsKO28%W2|I?L!P%M_|Z&huD|M(^57PV@aOV~Bv*D#PMI3sgX
z>x6`|co6=K?$}^TH@9oINhynC{)asVk#8=TbV*9mthb^$Xfh?i&(S;pBaXYklIyd{
zz6CjG_Kk9KG4_$soR^43=oXZ*<2y6&k*l-Z$;U`)W+6)6TZK$aS`jY=gZ@$5A(+QO
ztK-f>rLqzv({U6Y31?96Tx--6;0CebLvW638#Btjf{u3TlkJ-t5ZIGOZk)RoIld_-
zy{P$o*d)CKSz$t$BzX?i*yf@-JQIa=mGGduJZYhbnC+|=s6s=EIdt+W@+kHft*$kL
zH+}@6zg{t9|MXVmSW*rrjJwagH)Fv$>w1xIN-9j)Zw=cYw4y2)1q~%zMN2jrAw!`8
z)bGiHGp2VU5lNGlzQ@sL89uA+Ud};iT(J;#*PB3-CFbym?=H0C-61$$2Zx%`hf%J7
z349r)1tYfZU~b0jVw{xgVC{1a=El=xDEX}w`qWi9Z@ZrYU)qY$nFCu8pdK^NBa)EC
zv<K+u@K(6*$XS@&V2QBn!?eT6)#Rm)5;6;yf{%h#$u_=WATvd37gLz&j_znLV7|ZG
z&de~eB(IL}kVgM3q~(sIJkN_F#pyE`lCAE{H#I<_xL?jYmPV4Z2Y)g4N2+*}^ZJ-$
zhfk9~C+>G%<`qB|Z(c##e904WY&4iTyHZ81D&tW5-<hy#vNv>1kU$qlX17i8ltkrD
zy^w!FNfB0j4@Ez0%h1o*Rwn6<0`m0e5p^qjAhnO~$bR#9NMUkJ)T&LW;jn|SG%3<K
zy4(_0yFkR<#YfY)N^SB+EK$y$$ILHv61Jv|Lk`iwFyM$Xim#mrleI`x=>CzsUAz<J
zWXy3^uiXVF%csCnwacXOM}0oIj+2L+A_%m}xrUjo;Q%GF(xFg&JG$TDN9qmUB)c9d
zwDnH=;M{iWhjX#cY*Fcw)2L=&23k6EH(GjN4{Ta?2v$DOLTv}UQM}?$W-yXwUiNH;
zIxD5%k%B@r?s*pDE>{FUzG!FIc8|yv8wx}`g-LCIyB@v{;F}@Cx?1N^`V!iy8OHo{
zN`wPiLZp3{2VY-5A&gg-g|3&lOmBrE+<c{*l$~(^K3$rQI=*j0ZC93|!^{DAh0JD}
z=T#%8?K{bkqj?M~3y3b|b)uX@jOa4h2|GIXpwGYV!72V_=+TF*qLY3f$g&glD0;9B
zYV-4~g)7_7FthJWK~Fa(B87Kn;kU`fWKM@}+kx6r#PSu8x6RX$(u5|mJJ||d@Li3n
z0~*M6s{2t=eJGkb(|FpA$?urpQ7I_nI~(;DTwuuC73lW4ugs#}V`y5w8`|cP3cqaM
z!VEsmMyD!|lY0K@=v~oe@_l(Q;v3xKL&NXsNJ@`^;d&?F^#vBl!mJ!Mh2=s8jZ&x+
zM4^H2FGT%mvFOo3ob;Tn4i8K-f<-Ac$V2-CG@fw`N*V+pzKjVuQKAHfWezi*?Um^9
z=L+&$&{FcsVO{5SsUmcxBm_B3sYIiTtznn6Kb&#wIa0XX!iS2bE$E4&JUkRx$2@Ya
zfQ52b;DndjZE9ij;o<=+=F!Ul*z@%?+Gdar<=YG4@)Z^+qudisQeFpZyK@;?q8&L`
z55X1H25t9tCcq~L_CbErDu%xWBO3=FFn)QKuzyV*dMAiwmP*}$k-BTh3+J*>Y#j#$
z;QTsfT}Y0|qNITNuqPK@NY8_MTT{@UbP+T&XOLoc7US!k&rI@EWUO)|7)95=Q02ia
z=1aCcx&O&H=Z<w5@Q0=+T-9+ACT&^)LpH{tSsQAdJ+F}HP5L$Fu;E@f-e(``Uwr{R
z@mj_7`<x~}PS}D@Yzs%e2`1z*ezqpun^eG5Zm1-G?P`FfhVv2l+`zQAoP+1mHITl4
z8KgZ<!X91`Io*Gdkx;*nOuos(ZL>C@kF_o^Xpu71v`T_Xu3M0(;u>0ZD;uE&itvq!
z50XA~1m;yAg<9pB(0&<3&c8PW#kD3vX|*Khd$KjCrO*lT%aU+spB5eXs6L*=3?GRO
z8(n~FY}8=Si-RcrK(WY;(nf-W=SU^C5EacTX0YTSCR{!gI?wk;xm_pWg+xO%nAwBW
zc$w(DZw%61G``JiRV*?c$YOFYSU`fVfpxb8Oi$i2Q3+TA<&TvjuUU^6#WS~1*|@oU
z=;xm3{CpjRn+9u8`9oKfI_@r+r&^C9n6+f-Tf|s(>}5=MHIY~>8@k14phpdeJgD+F
z8AVMZ(?aKvYdf+;S-pegy^Rx@TZNxU+wfzg!^-iHouLNbJ^D;`_6iuuy^W-j?maTT
zKp86Rn~T;MpJntp6Huot|Ak1+@;DjgV#{=Bd?R}tWZ;dEdL}df8T0wx2j<|wDW)*M
zirKy|k11^RhBarVGJ8C)k%g;PlTU_s!xCaXtavgFmK&``jc!@w!uk$!oUAh}np%do
zXl`ZnPdrAEYU*gG(n{DJ8G>pxK0wL*8q)CM98@*e7F|*Gib38r2+ca(iMpLmAodm(
zEZS#fwumyRr29t9d4?V%!fAq3`pD{b`UTPy{kV{Z|2X0)lnG)9|1wc$uUb<s%DR{i
zrkZ~P5zB_~L(=(p@y{j@dy~UkGJ1yC@cJe`%c~eKzuIkGq!b%glx%H0w)+>o3EbIi
zVH3mtok3RG<w%P&0$Z*-`@h0(;J47BIg<BB_{-&Yx^Oe4nb~#j7AZ)b0yE6>kc@l|
z%5n8a4c1rTnS)zIhL(nCcy1Q_uwe%@AG`yl)1NZm^*zx0j{x0zrjLg63Zd?YnefS`
z7{-LWPX;`fM-jet@C8So*%wj=Bi|i``&160l3S&4r&a{qGNT6i%vlVbCiTNj2N&{@
z&V!5ag6tPEMkvRGZXVCf``OR*&rOE%Gh5J^n<^rgXW>xb8i0c2@<<uOugK`a0W{Gs
z2u-w8LW<xMDL;Db_Z-{<Z9o$I^{N=X@A%9-QZ6PRHk-lq@xk!^lC9{5MJI_LJVXBc
ztPdOSDxx{}b|K%5t;F)@{41z4APt?WI|MZr`9Yma*`)2SAmngb29_(7F<IA#MHvw{
zP-h^U`Sd9bo(eex@w*P_T;WQ1uWUJNi+Toi&IiF8;i=HVZ!sLWmjW9#NN2;Pr_kX&
z`tY1tDY>|*7i~>1M_X^zz+V;{k&A2#8NVnW-OE1>^Z7fwoI_vzU_x3bh<)CLPL5PT
z>v~fpVa+1zH*H3?M^?l63<pKD{Z1zw6Pe*CK3R0wpY&Z@3l}T5qf_?HuuWqEny`KW
z4E%Hq=4>z|+`V_g$hiHG(e4!;-1!T|6qho0?$jY450kb%4g_hlwj6qQvKa4}86^M9
zmwxBWFjIIiIuxoKsKRejS#U6(gRJUb!OhE?5pnc|=)TuhXPNJ-V0Q%G7PC^Cr|aS<
zdfL>5l>RyfuW|+uv)di+{^||iFxqfN!3_BH%6yb#T7~W`x`DoE_Mnb~=V6=AX>?et
z6prlwg8Qi7fVxw*LepUpAIYUOz%N-N!v27tjC{sCw9vgC-W*Oqg*G=(acVFMV;;aD
zQwP`_JQ?|Zu!pkB=OAiJb?%$`m~k7eA&;+|L#pwjQL6S3lVUNAbZuJ?E4Uj)-4?sh
ziE*By=~8_3_?NFRamrL^p=J$LO4?9ZuM14k;~--r{&VNVg#peb68qt&_@(5z_*m#x
zyBV%Y&LX|Zb~qW{K^Bi|QAXV|be)Z(wt;Y1>sC+hd>jK`opgk)xtmdXWIwz#dIW-L
zNlYv@1iwDqk2a|8C%X%qVc5tC7&WbpNinKN`ZABm&EGiiY4ver^mrQ79C3Gk&L4<F
z>qe$C_5AbB^v)FLybuHUV6_d>EAb$G)qI?PX76J{JQ|s#o(R}))qxgINP+#oI-%Mn
zX_Cz?M;9;W!WR8*SmWPEvc3hA<0695$s`U;ugpYR2FmcgUJ*17%|S}C?ar)~h}3wP
zPt+#Oru7XPh4O(IkH76_9+6%$O3YNeMh9=#7haYU2|Z(dhz;)MLOXM}*6lPB?sj=g
z%Z*GWzSv%)YY17M>xvj!YoL`EBhVLO`)?C5`&rH|aeO*yWEGL1et{rI;(2Eyb9lr@
zN8y)%DfHH1Tj82tw!$Zi0L>auCBAkk(-->>(N*cXd|r>=H7dC86@6mHfS^mS4<8)w
zFU(wbo5~6`6vm|{(|0|u5ue-k&@L~dfl74`mGo4GH`LuiOx1U#Z<ap6HH^mbdVb6k
zVg(qHJFlDq#je!nak(^0qn^rcaup88VDy!oX7EBWQK<XFn-{fy2sb&GPdpBF60Wr5
zPY{-}DLU+X1+89~EBt0_M3`n)3LhoEqBYYcgr031aT!54@21u+x;*#<?@V_n&t+&A
zrMJtC$NCj1WN$w}EYo(Qr*M;ab8A-el5e^TdmP^p^viVNY`ZK%Z~PK!g+nUu7M3r3
zP@hZOEAF5}(h6|BYnr^K%n7`He%E|@z4=d~`h65_@o6Hjq|yPmTdKojX{@I|9*V|K
zY^kQ=-!;&i9)<}Gmwd<LmOrFx=j8C%GK+;;Jy)rlXKI8yKGX^mFMZ-9I^V-|o~7`{
zxhM(~9F*7_q`%YdPeN&yeT#6BL#*(t#Twz4UI&6@evQsl|4xIAT|)jd=LFhcSp>E`
z|BI(mr^McVwM5t=r^FV_QxP@zUZHGztaxD78D9U>PM%?*K4tVmjXmi@uCTbLlbGbC
zojeqAmA>8hl&C(HEj;vmkMQl1PgL~bHiC7y>vYc3chrRzo-kE6jBwSSMX-WoTh}Nk
zC*KY`M_l-<m8^L23}5(m(4ATqX29FGNPr&@<<ZrnRlIgr&EyB+vw6;k4Z%~}VQyr6
z87PuVz%A?Lz^_(a-2O@o$Xw0A2b(e6!{`7uh)#kU?H#~)+!TDyv_W9D@e)?ITMq15
zppMUd{2E(Wnu=!~?E>EOE`c>ugYa&@aIpCPG+g;4KMxE=D&W(+qHt}e0ziCJ1(z31
z#JO3Tcvx&Awk;_N*ht3V&BsH)OQ%wx|LY|-`ilns4s!VY`|6-97lM%u+1RMWXTaTI
z3mS*60Fy}vK~%5-t|PG&TphlKFF)1~G$q==vHS7(_#`_#$h#6x>e>tRIOo9?zE>N*
zbh{m}JlzKTR8nw4b2-?zu?~x5$$(dep11-}0QODU3JSG!fca+#8XG=h)s1yv$%92;
z*5-2Tr)34MdrcB#J?zG4dKZwpF$+KM(*-^~olJNoPR47_Rb#HPDnx8}AW-`|4}V>k
z2rmD$19u9n@MyWiKz?b96P{3Qj7uwNkwx39B8rUX{ZBg4HSc%E;MhFP<4?xW>+`R4
zqTKJBq&T;zjNR2dDd6|z)IV9sCox^PwyZgEIgnIVAG;L!b6;WlyQ*4raYf|+;%bg@
zo9C>QlGOQK`+r=rHLneMEN-EB;aYcDaTC1>NzGbODgWGkRK{A1xy`)^zq6WF<{+hU
zs)M++SW@V@qmXiAxpFKf-@@%INMg<LWL(Cjg<=J$uxopRsFKV1gv@G4k1H4;rm8dx
z;vT0Gue;R<dYOkHHO!i*J)y)Nv@)WfVp4dP)p%jxr#F;tMj=%>!$-KB*G>@r+Vt_~
zEc&<atZ)Ta`tzs)pVyk|CX7vABwV;(p03T66|H<GC44C{SNPaOO*jUuu3kx<lv7H6
z<o|-2IgALG>GS9lcV-ZxmRm$?L@WTi7T^K2DtoBPpw%W{i)}s)P=Qk~;L54Cbhtwj
z&DuT-P?>L9CuK#0F?)Fz&I$IHYqJSiHA<k)ucrumZ+c1K4B^_+A&UE|g5r%DU}L})
zTYgewROhuPVdj=WyT{+8s&j2<!6ycPTlI!&GV24PU}d&rk_FW}D;ZyXaT;BPis-f9
zbE)gHKEi^7&#C?C@pN3FrMSo0ImOLm_G}zunwQw75p#9>sR#U;I3iuG6rA?k)4JL>
z19xfGWT(4KrykU6v(wb((PgTIbVWcn?b-WAXtLli<+_Sb8?7_P#|+iCMNpWRCY!ay
znj4jNlrHlhPgiYD5=zU(;+L>wIv^oV+yMvcG{G3&CEP@i_+z(V&+0V#-fIJ)5xh$A
z{qCz#4enFLp{evA5-WggSE8q<obHc)M=8Hdq!U(U;l8yjn)4%7jQeVmAUIi`LhSBz
zraf=#5WZWL*dHg-0)0}N+G<n;5{|6Le@YmzJJxkk)BXw+T((l8=MCr)ZkyW$+`2u4
zSCk%a&eWe^`LbZXxF<UN$>I<h8*zwBMFm7tbT{?P>=qHIy_E1PU?`pY^N2g~>g<e`
z^HgaH7gPQzMbH19M2Olk>Rr%BBK<@F@A9Jg_-TzZVta2+m(nTeH8{cV#Wxn#;414~
zsG9GY_-$?$k@>2H-uY}MVYgkK{p>iuwpDT;g*mjBwm!OS%A3??O5dze;5{3BPmHfv
z2weVpjPHDJz&`woq;2ap**8z`BG!<9(NQ-aQqoziv})gaBCS4?mh-2@kx6U2B-k#Y
z$=*;RLm${OiO_wSML)bKEi{j~fIszHMP0jt#JKc?4}!VeheQ<r*JV0piX9c9rOMX2
zvzBhvN}==S+!5qmeop24E3vCilu~<aM~IU1YQn^08UPLIu(LO>rs7XO0%lR8AjRt?
z)%Sf8dqM4Z`tHWpPQkHF^Z`c?9CjMggZd%D@}wRjM&~SbpmUA5VV5dPI>gA2Q0UL1
zHLBc%{7sGaw6xuQVLF$fPpH`n15#UPV>1Kx?NvvqhD~dT-lI0c>{)y1O*$mCCoNLw
zvPJ}kHI~pmo8rVnrZ<-m&zVP93g~y=Nwa@M(BI8w3X`8trfowt>5Ohk{OB7E_Qyts
za@P5Z`8%)TE;XLSd!=`ZS}-iZ=Q(F>AYR<aqu#y`AQb0lvO^N5&^t1>5G{LV(F?o|
z(<N_{s2Mp>SR<4H!MWFHFK0tKF;kPhv-mssK64fJjoJvL@?YQu%GuyubsF%*zhc*8
zHh{3yEO5J91N`md4N|^Xg16d>@GJVVU<qjlUcc=J59J?%;@SMeAo_C+PD?Jv>n1CM
zp_?CYKCd5S1;`V!*Zu}fdL4M<+kv}<yMx`^s(=ejz|Xwn5|ZEN*!Oi^!|SJpf>qbN
zd1V9V2`kG6;_%)+;_{ZeVE)K)9EJK2yxlceDV~D44EhsZ!~PD_YS$2DD)XIA%F8+T
zS4rdB`8QRFxjHk5;Gv5|)95u~FKN%ImzvBo54?tF#3k8Zp3uVEdx}MTRMv5J+(Yo@
zavt)6_v;heRu2*SZz6eeoVR$iU>equ`~tfRdhs1C7WN8KefZ9iHph^A4$kp)6Nr@q
zgLvx`0$%|Oi50iM;bt3;IzIQ^DSlF#Q`02b1!rW7uB_B*K9KJ8pM9#Jd0qBCng4Dc
z>AQghpWZ!8X*|+mAK;hc4y!*4rsDyG>vVNu*-3c<JCjZ8r4I-;<GFZM(l1=(V@D%T
z*H-1BbJUs|HFoga1$4H*2D`hqiMS@+hpQFo;X~2q1kSPc^wCRYbk7<ccE!UN^z4bN
zz_(y^wwnG|Y?gEi=Ht->!os3}6l)b9=%0EjP%$`+o!R>ib6v3<%$8GU&rVTie}1F?
z`=t?!6_wQtqQ+^k4O<m)%1hz&s3eYUXz&o!>*Wj1s+D6^Mp|s%6fJh?oC(78Y#lb$
z9ZL_r*QUe1*a)|n4%6Fhhv?aQ86Y<!n)ZI_N*@fmN!#SJC|XU2P0R6fh!RH~wtF8g
zycMRDe2>Wy_Bh-E+d{_izJyEiTKE%rqxBQ;s7PJ5)4DF&q~$$PtEk0(OC%C+jlbZX
z795`5*%6{w_>8cc*hGiyvmhk(S;XC(BFfA@olg8q0qDx^qiziU-pfM!3B7SD$&S&5
zynEVN;IactsKS3k(vO!1(uKV)!n5tl?9Q%edhudoaHU6$J$ijE{^5lwrs1qaxNPXa
zMUMqI@$)8C+PefhQAy%5q4$8jgnqJ2k5aOroupam25i#K2J9cuPd?leN(@ezj1O;B
zYV8?!l=|TPfSQ}PNAPQrF1y#poOX&%p{(Ln*?b!>E}f!VO9eErg$J)R(bEU2Y0nxn
z!2>8wXZ#gFhYq+2OB>?o^o5y}$;Y{PSg<}jr0*boQbj4*O=pp?Hr$RnxU_~){Lnxw
z@HFMcVEy!=Y8`f<OD;8uok!DVI_z^jT6Es7Ym}<%UHY%3C3N+Y9Qw>Rtko};$EU4s
ze5QyWkLjT`v*;lsWA5m+T|DpCs_abyC83Z|XZv+J2_qCvfypCh@sDryc}wqHCl(G*
z;Qi24Wj6?`gzqM((0}>ru;ZsDww_rqgYsAM5}0gL6vTK-2#zIBr(enHQZeq^z=5_e
z0=?PGXn~}nKrynHD$&zqFWt)zq5TF_lQ$~V3qJG~;Bx05fcRT~3pxr*z*D7Oy5QLF
zxsg*vZ`wJLTK-0b{YBz~V0>hwKxUwUT6aI3iaEcWI^25<xZ%|TqYgG@>>{K_&t5qx
zcqcDjnSVv8vHj&U#f#}g$%*tl*&Zx;!W#UfFcd#<vkX7LpFPw%Hp`3YaQyK{-DF#l
z9(%T{O7itM_2gO|_2j<m8p)Zi`pIq?>g?bxlaj}<>3urMDH}A|#y0BWC!}<?3cK*R
zx>%Nd>>p~IsK<7htjCV^F<`eoH4x*}4D{Is%VuGus<Itz-oo8msl(yFpW_6i&1<pB
z=fzlbLM3*2XEUcHp^V$PHx)akJ07c#>9Y5;+QRLEQ|xn++^~7N5{}~+yaJ(1gq*5F
z5L?x0fvvst4EtF13F}<Y?O2y-3@R#CIdbmJwprt1;Z){0(=nDg#wlKF$dR2P&&knI
z;9Qf+ca*=a=5$8#JKt$SnYoRM^>N#^l(FSl@3uPVb8PcsY&ATVb63i;?Z(BAINq0j
z;Usvtgu`kUIZT-pVc)dY(|+T3ClEi=*SbGw1RJ@woE!Kd7XNtu88{hy3Dgz$0lSwU
zxkn=gu-dK`aLfNCC+Ox|+p{eUc7u1;`uoN>u(5ry{i<JlLqaOl09%$S2R>f&16iZ`
zxF7#E#_~~exbCfiOTSx)=Zq9t-bh;lbc%v8{gr>?>mwK7v#T8O`0hA7@9Gh3afvpd
za*eU8;fpa|`a5pSiLV&<#vyCh%c1yfYaQD_w_Ji{`GkAC!v=r8K>&UR1%lxQV`3o6
z!6u(y#3FWPsW>gm$hBo#6>#PrHF0>wQpP4uU%@r~7Rj|g(83iM>~QG(k-)J$>dpzf
zF0?z$Yqb8_T8OcaXWLKb5Kf=p*Esx)K$yl&Th7+qv5wuhUAd;g0`6zSJdUo1n`6BC
zd~AJyD*pbCmyK<;7nt>V5oUblDvs&S#Q7w&#t(Pi1jz?$G0APCn0G=ixId=>d$hNe
zs~P;*X<%oP4SbH{3%2>#a#m#!7L^g)B{SIg^9NFRoZWQ1q@)6uH9chaG@t|AUw8x<
zu3lyRw~ZO@ncm6Ws$D}Ie4s<fJdq<z3T6^5zMHYFY*oA}=mIWy>WrD}TfujFKTb%@
z8gjJr;0%D)Wyua*8iBkWosEE5Pzz)OTk$t5<`ZvCB#C327COS}!$fa<D&};MHdnYe
z5sQagIlb3%f%ND&0Dr#34me4G5A*stFYMoPZ#7@QCOBGQg4I(TVeJa=`f`HBYqtXI
ztZ=IBGD#l3q}P-iHHTl1b)Ia)Ow2G4<yQz)-bdMlJ#+^z#s_kBkffz)4$XP|<+PLG
zHUhIrJi#53E9ahF(9U(7rNhbH@58zJONooAR@j$ajT`%i1dAOeWmOZD&mF6eDt*L0
zPXkWTdDh(Z8Ed&x)LL%;PkHe%L^>*uOVy>BR|JJGHk*80!t9-Cu<6rHn=Mwa>oI?r
ze9GL*<*1qGQnj%YBdcU%>Qp==+-w$;U_SP{#Usu9^!Y|{{Zxjt_^EN8x58q)R;~Gw
z?zI-_FZ(RUaKEfP%?q0Bn$PT?FU|m(6%YP7Bu=Z77GIDTRmK)H51zR3&)K!{<j=9(
zpt-SG{~t!s<S4#k>=mwOwI%>A{$Td4>rTSg`yE~`T8{g5>EeCEfxy8_4$O62YI?_T
z1y{b(2a{ee0|IYEfW%81IjMfqc+AsKur%Qg*S6XYG-SkCC(Xah?Je8Qz3}urX2fme
z0Qn-WEw2nOt;O(yU2fpRU)kaaJy6dB&#qYW0sGQ0?kT(jlp3`$$A>@gzM&d?SAh;b
z=k9v(5*uw!a2!t^vnhJKm3w2(Md14*21r!I;`5VOc>U=D&b%C1Z0W%ei%Tl$PIIG8
zElfXc<tB9vVV@SKVCx5s!Kuzym}vV{ZW4Y+JcO1Sa@_qh^Uaa`Y0NvA--R_ACt>OH
zjev}VCa@~?z#d#UZa)^@_iHAKJv|kIgE+M`Eb#qNZh*@n?9)vdVAa14%l!hJB-F2)
zyp?R^YNRQ0{3K;TUbj5PlQri;j0-~HYs@@+2ezSDSv+6tLQ@^a?B1Uy<$$hhf%#?o
zFjxMkFThcAK8U@q<*1;fh{ap(uu3Vn!)^{GO_>$`1Z*BS0%q(E1xJtb@eM}^e8$f-
zuqEwp$1y{<ysR<SdL3K-<1{e&Xg+rM(?smU(kQUU#}nL&_=I^T&ESmT&K;N_b|7nE
z6SjnO1DcliFohL3NPOZ4_ygTR7=IHK8+;d_DekequOFx{&c_la407!hMVS9RU0}7d
z5L>EfBgXxG^C-ur%@lhwwH5;$9qdEjO53H!o?@yK8ZbXmEw{vk#Cp}5EUy~9;M`R|
z?$j}JGk3ID5_5RR=XS{Ef?e+J;QGl0SpVg9e6eR6iY|%i4aXfACq5mF=8bSCzp}&E
zyw3zbvUhUZ<6mOsR~K02%c*gl0~;N!@EUH^%zn(r(-$*O=mg#&g@D((0}Ck45Zm!K
zlmiE?_Bq8Fe*>8Ec$|1~hx4&<Ieujk3!j?Njk#`E4V<>TvecZ&Pjb@692|e9HajhQ
z{|bDoTnVHExA4$FBmBo4Ic`>!73kZBTi*&liiN~nvVPs$4rCHXut=45F1oQCEcT2B
zoim59pcnn(PzUM7aL$NAElMW)WA7|efKbu|SZ-zGfA2X0nCS1^;pF3DoXXr>ZfqY5
z#PLmz0H22+xUZI;v74e=2YPp9gUll(*v9$Cv7F!(^T?DAu1EiLu-g0p=-m5>%l@0P
zyYXT!-Xy7lXNSxKyK^nT>5~JN*e0Ai(idtMlh}$ylB=<kVT-V0JtutsDg;U<R$#}K
zbi|Pf8CeC$IYHbniz@KuSB-!lyLBCQcXt-vH`4=;Fd76;wRU3LO^nRk);#2<v?XH&
zYK~yTn>?;r*(XkrWg@<NuO5Dc@CIMkcZ=r=a(FB@?D1_e5MG-A4DB<qK#84TP&yS%
zvAT#^r{8y4_O8P0<w=see|M_=!HOWx_Agx^qjwE<#ijtqZ&!$b$LJ8pNO~0rTrl5S
z!R0n)$<OANKUc+DcR2z-2W9T|p}&ELeI59CL;)!7n1fl&?XhT1N*m8^Ix|P2$c4!k
duWP-`pLOjG`e&hg)Aom<*e+)LeutR!e*o}_xuXC8

diff --git a/requirements.txt b/requirements.txt
index 37bf8a9..7ba6374 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,9 +3,13 @@ astunparse==1.6.3
 cachetools==4.2.1
 certifi==2020.12.5
 chardet==4.0.0
+colorama==0.4.4
 cycler==0.10.0
+docopt==0.6.2
 flatbuffers==1.12
 gast==0.4.0
+gitdb==4.0.7
+GitPython==3.1.17
 google-auth==1.29.0
 google-auth-oauthlib==0.4.4
 google-pasta==0.2.0
@@ -13,20 +17,25 @@ grpcio==1.34.1
 h5py==3.1.0
 idna==2.10
 joblib==1.0.1
+jsonpickle==1.5.2
 kaggle==1.5.12
 keras-nightly==2.5.0.dev2021032900
 Keras-Preprocessing==1.1.2
 kiwisolver==1.3.1
 Markdown==3.3.4
 matplotlib==3.4.2
+munch==2.5.0
 numpy==1.19.5
 oauthlib==3.1.0
 opt-einsum==3.3.0
+packaging==20.9
 pandas==1.2.4
 Pillow==8.2.0
 protobuf==3.15.8
+py-cpuinfo==8.0.0
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
+pymongo==3.11.4
 pyparsing==2.4.7
 python-dateutil==2.8.1
 python-slugify==4.0.1
@@ -34,10 +43,12 @@ pytz==2021.1
 requests==2.25.1
 requests-oauthlib==1.3.0
 rsa==4.7.2
+sacred==0.8.2
 scikit-learn==0.24.1
 scipy==1.6.1
 six==1.15.0
 sklearn==0.0
+smmap==4.0.0
 tensorboard==2.5.0
 tensorboard-data-server==0.6.0
 tensorboard-plugin-wit==1.8.0
diff --git a/sacred_exp.py b/sacred_exp.py
new file mode 100644
index 0000000..477873a
--- /dev/null
+++ b/sacred_exp.py
@@ -0,0 +1,80 @@
+import sys
+
+import pandas as pd
+import numpy as np
+import tensorflow as tf
+import os.path
+
+from sacred import Experiment
+from sacred.observers import FileStorageObserver, MongoObserver
+
+from tensorflow import keras
+from tensorflow.keras import layers
+from tensorflow.keras.layers.experimental import preprocessing
+
+exp = Experiment("s434704", interactive=False, save_git_info=False)
+exp.observers.append(FileStorageObserver("sacred_file"))
+exp.observers.append(MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017', db_name="sacred"))
+
+@exp.config
+def my_config():
+    verbose = 0
+    epochs = 100
+
+@exp.capture
+def training(verbose, epochs, _log):
+
+    pd.set_option("display.max_columns", None)
+
+    # Wczytanie danych
+    train_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.train")
+
+    # Stworzenie modelu 
+    columns_to_use = ['Year', 'Runtime', 'Netflix']
+    train_X = tf.convert_to_tensor(train_data[columns_to_use])
+    train_Y = tf.convert_to_tensor(train_data[["IMDb"]])
+
+    normalizer = preprocessing.Normalization(input_shape=[3,])
+    normalizer.adapt(train_X)
+
+    model = keras.Sequential([
+        keras.Input(shape=(len(columns_to_use),)),
+        normalizer,
+        layers.Dense(30, activation='relu'),
+        layers.Dense(10, activation='relu'),
+        layers.Dense(25, activation='relu'),
+        layers.Dense(1)
+    ])
+
+    model.compile(loss='mean_absolute_error',
+                    optimizer=tf.keras.optimizers.Adam(0.001),
+                    metrics=[tf.keras.metrics.RootMeanSquaredError()])
+
+    params = f"Verbose: {verbose}, Epochs: {epochs}"
+    _log.info(params)
+
+    model.fit(train_X, train_Y, verbose=verbose, epochs=epochs)
+
+    model.save('linear_regression.h5')
+
+    # Evaluation
+
+    test_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.test")
+
+    columns_to_use = ['Year', 'Runtime', 'Netflix']
+    test_X = tf.convert_to_tensor(test_data[columns_to_use])
+    test_Y = tf.convert_to_tensor(test_data[["IMDb"]])
+
+    scores = model.evaluate(x=test_X, 
+                        y=test_Y)
+    
+    evaluation_info = f"RMSE: {scores[1]}"
+    _log.info(evaluation_info)
+
+@exp.automain
+def run(verbose, epochs, _run):
+    training()
+
+runner = exp.run()
+exp.add_source_file("./training.py")
+exp.add_artifact("linear_regression.h5")
\ No newline at end of file
diff --git a/sacred_file/1/config.json b/sacred_file/1/config.json
new file mode 100644
index 0000000..58da8f5
--- /dev/null
+++ b/sacred_file/1/config.json
@@ -0,0 +1,5 @@
+{
+  "epochs": 100,
+  "seed": 80188794,
+  "verbose": 0
+}
\ No newline at end of file
diff --git a/sacred_file/1/cout.txt b/sacred_file/1/cout.txt
new file mode 100644
index 0000000..65019ac
--- /dev/null
+++ b/sacred_file/1/cout.txt
@@ -0,0 +1,11 @@
+INFO - s434704 - Running command 'run'
+INFO - s434704 - Started run with ID "1"
+2021-05-15 16:30:17.771747: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
+To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
+2021-05-15 16:30:18.525767: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)
+WARNING:tensorflow:Please add `keras.layers.InputLayer` instead of `keras.Input` to Sequential model. `keras.Input` is intended to be used by Functional model.
+WARNING - tensorflow - Please add `keras.layers.InputLayer` instead of `keras.Input` to Sequential model. `keras.Input` is intended to be used by Functional model.
+INFO - training - Verbose: 0, Epochs: 100
+
 1/11 [=>............................] - ETA: 1s - loss: 0.0957 - root_mean_squared_error: 0.1177
11/11 [==============================] - 0s 674us/step - loss: 0.1033 - root_mean_squared_error: 0.1313
+INFO - training - RMSE: 0.1313309669494629
+INFO - s434704 - Completed after 0:00:08
diff --git a/sacred_file/1/metrics.json b/sacred_file/1/metrics.json
new file mode 100644
index 0000000..9e26dfe
--- /dev/null
+++ b/sacred_file/1/metrics.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/sacred_file/1/run.json b/sacred_file/1/run.json
new file mode 100644
index 0000000..8ba1fc0
--- /dev/null
+++ b/sacred_file/1/run.json
@@ -0,0 +1,66 @@
+{
+  "artifacts": [],
+  "command": "run",
+  "experiment": {
+    "base_dir": "/Volumes/seagate/ium_434704",
+    "dependencies": [
+      "numpy==1.19.5",
+      "pandas==1.2.4",
+      "sacred==0.8.2",
+      "tensorflow==2.5.0rc1"
+    ],
+    "mainfile": "sacred_exp.py",
+    "name": "s434704",
+    "repositories": [],
+    "sources": [
+      [
+        "sacred_exp.py",
+        "_sources/sacred_exp_8150ed54d93299dfccf6867ea7220971.py"
+      ]
+    ]
+  },
+  "heartbeat": "2021-05-15T14:30:25.850078",
+  "host": {
+    "ENV": {},
+    "cpu": "Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz",
+    "hostname": "Wojciechs-MacBook-Pro.local",
+    "os": [
+      "Darwin",
+      "macOS-11.2.1-x86_64-i386-64bit"
+    ],
+    "python_version": "3.9.1"
+  },
+  "meta": {
+    "command": "run",
+    "options": {
+      "--beat-interval": null,
+      "--capture": null,
+      "--comment": null,
+      "--debug": false,
+      "--enforce_clean": false,
+      "--file_storage": null,
+      "--force": false,
+      "--help": false,
+      "--loglevel": null,
+      "--mongo_db": null,
+      "--name": null,
+      "--pdb": false,
+      "--print-config": false,
+      "--priority": null,
+      "--queue": false,
+      "--s3": null,
+      "--sql": null,
+      "--tiny_db": null,
+      "--unobserved": false,
+      "COMMAND": null,
+      "UPDATE": [],
+      "help": false,
+      "with": false
+    }
+  },
+  "resources": [],
+  "result": null,
+  "start_time": "2021-05-15T14:30:17.351901",
+  "status": "COMPLETED",
+  "stop_time": "2021-05-15T14:30:25.848159"
+}
\ No newline at end of file
diff --git a/sacred_file/2/config.json b/sacred_file/2/config.json
new file mode 100644
index 0000000..10050d5
--- /dev/null
+++ b/sacred_file/2/config.json
@@ -0,0 +1,5 @@
+{
+  "epochs": 100,
+  "seed": 426629893,
+  "verbose": 0
+}
\ No newline at end of file
diff --git a/sacred_file/2/cout.txt b/sacred_file/2/cout.txt
new file mode 100644
index 0000000..8daa125
--- /dev/null
+++ b/sacred_file/2/cout.txt
@@ -0,0 +1,8 @@
+INFO - s434704 - Running command 'run'
+INFO - s434704 - Started run with ID "2"
+WARNING:tensorflow:Please add `keras.layers.InputLayer` instead of `keras.Input` to Sequential model. `keras.Input` is intended to be used by Functional model.
+WARNING - tensorflow - Please add `keras.layers.InputLayer` instead of `keras.Input` to Sequential model. `keras.Input` is intended to be used by Functional model.
+INFO - training - Verbose: 0, Epochs: 100
+
 1/11 [=>............................] - ETA: 0s - loss: 0.0914 - root_mean_squared_error: 0.1140
11/11 [==============================] - 0s 638us/step - loss: 0.1024 - root_mean_squared_error: 0.1294
+INFO - training - RMSE: 0.12944550812244415
+INFO - s434704 - Completed after 0:00:05
diff --git a/sacred_file/2/linear_regression.h5 b/sacred_file/2/linear_regression.h5
new file mode 100644
index 0000000000000000000000000000000000000000..ef7701b10e32ffffe0a0556d4ed31edb3663ab1a
GIT binary patch
literal 49808
zcmeHwcR&+M*LR2_sHh+aC@Rf@N=blZOUQr)1ysb21u24nRB2*C0TmGoC{{oOY@n#v
z$tJsi6~%(RD|YO?D}G6K$16ePeR%J^pU(^X2WMyI?3pvaJ#*&F+3d2wp<n-2EjqMd
z$qrRjR#TR`{1pEA&KxNR=o(mt?H<gD5<?Rin#-n7lvpY(S(`3Xug=IfXhK)`F&B;)
zW^d1uazgo#GMD`j0OkCsZ#-!b2sqgHc99L#l^HFEp{0zSF-2BTh__Fm`&1u)U%!ZO
zX=O-ggny9#bf2)F>SVmoUQOVIwNMSlUKQ<HjpZPnD>6B)Sz0VrR)9~KXSjQmPguBr
zNU*fNy^@mrO4)3p`%;zn0Q*&zmFOyYyBf=mk*6w`=jAyuz$e(dPC4?4%gB*I@t0n$
z<Z@^{CWZu0^7oZ>*<PxEOsCrP>LioJ$dgUczvQXQ<wb;f`Um?5`?@nC>yo!wHeg1c
z3@^H8`AM}uN~~sb9N_$he!`(W&GtX_6XhLgev@j_8w(8u0YyK7G6R3vtU3bTKEdHW
z?$#`t@)*izD8dR32@CQJ^q=k-A)U|eTxJflSO(R_{3t0&XRplE7428IGtH94a4PC2
zn}@O^MTMsDFVs&aQ+7De<Zu5wpzn}D@;(?vV1IJ|B<;=8oM+CFQs`#sK!L@Ikm45-
zHYqS<Dy<T;oU`QqLs~V%Xkwsec({A8XONE(ZeTRrXG)|`aD=~SppmJ85$!yr^)rkh
zL--E{cdm>j&~uv9nMzs4DT;Co4vmZ$Bx_a><>eVM(a+sq*6bec=NT&NcwBH~V4$gi
zm77$gcf>S#osm>+&j>3^+2!G(o?+oK#z~%m;XcxeFi&4!AMc+kpn|kqOQV<=Q>oh3
zN9X*rwJ2x>uUD`r8JFCddU^%Q`i}^UlyzU9F?dG%%YicEy8TMIelk<9MJdM2YEkA_
zfJFxTN631!;z+gioEYIBC7&YF8ly0uz(|>-Na@V-^7oW+F{6^Mj=|DpS-Nt_EI_s#
zOWPDd91s{177{Ts*ng4~O$B|!edPB<b~9x|G?Iz0L)=)Ou#oWTV&s=Hx`g@oMh1F@
zF}l!JLW})ni+rU15!2j%*~-Y2nsvDRo<>NA_p`_v4fVTEyn5UxZsUFW>t_5*_laMR
z`((*$oKHU{&A)V?kb2xFZjIX%=pXFkDPM~k9pC@J@k!SxX?#HM1z0Tk{y-it1crpm
zRt%#cAJ1TSPp|Nhz{m(6cb~AZ5IMF%J`rL56Xok%jfh}aNJzwB>1D&GM0$q#c-zBk
zei3GbNm<?HU4+xjfAvsfwTp>ylZ6fRX41!7dKpxK@$E8|;lA=OC-c{q^QZo+#|yo^
zJr!3t7$(4`K&eg1H(Fty5wiGzW6t4lIrL$TSYwDak835>&f90A=QO%qTJrLV@RY_+
zGIkV`9|)hzL%G(LGP{+xTFP6cZ8BM0OBAu@bF5^Nd_u$h14DwP&0HTd4kE4b3<~!R
z^ZXGE#YpcQj0<77N(T^p>F$j_s@EgZ?9Z?2d2mbkqaDV(%^ChS3{{AlSTO#CR51>1
z$y^8Zgz>8yQ{S4QOn(-#KmwNrxUHCa7>~nt+7sa%cpap4JMYK!P~Ym;^DN-?u)g~B
z{2$kA{IY-kkL%n1Qh(&f^_suD9{F*-7Sj&z$Hb7x;0Wo!+cEVJ&nRg~<QY8CM}~>)
z(5A_c`zxC|vNj#29#WavT2u$kB1*~#_d~FsYJ4*A<y_LdMD6k*h;q&j4Bs#0(KmyU
zr&qf?2&$ZuNf-RU;V1p*o5RTKRJ%L~vYeCI?)^$0eX|&O`nAjZp<j>`KLdvE7vp90
zlX0<FhPBK4p`VP?sCIdbezZK}+U5PYA2QA^waa7f2Q9B_?R?g9BetOVy4BvVHDk<j
z&h88!obU4c<{#k`CP#y5loAuTq5Z3>@$4rAhC2`GrzG9oGbuV&BC{|<*b10(Ipg5r
ze2$$!3xRyOOu5wKC*cj~6y}K)@ls>0X7ajf()_6|OP<z{XGLV$>EGmIrTJso0oO4|
z<?9S{vt(<f+@CXL8Tq*^JO8;Xlksy|c1vr|JO4gUEMG5}er4x><%w&{hyPxle0+>N
zdQQU?Q!4zYqps&f(S|fLBkHFs8&4Yo0<=F<{^8FY<OUC)!LV2bOaKwe)I%#XF{jai
z{>+6bhsqXL=>h%TN0cr@J_C#{+X-lDKoeH!K>7soy=2Pj&UC#A!?$`=b-rSzT;a+v
z{C^@p{Fwq?YAip-pUIvt>9Xj}(O(X&*5^TtKZAK>Nagr5lT{Xj%j09FOvmi-4pj$2
zNt$h!VGHjI)VBf#V1_h*UH+n+33M9$MRj}|N=fl~i~%!n1IB(J4sag_%W&Ta=QraP
zU~`?6_ESnf{8S-hw@{v<9oH$afil47#&TyM#XyNgdsZbjjU;?71>Hi;vabA64Fi29
zCuP9WQDy1OX7H4)Br-{CHZ4$<@i<MCbi2|l@X0h?YRlYF*)=NH)_Jg`{_@{EU_1}~
zqORHRdxw6n7;X%I&)#5K+i~;AbSecLf3^lVj&`Nmc&?z@J!)bb755&fyC#8_Lq%e}
zX8vGjz&)y;t&XtL+mupSIhmZC5J7rg$P<oP+Y7|s6oT;=hky^h8PxE~E8@4GPYD-J
zDJ0KLx1!?aYEZ8uFN1-TizVH3J^}8DG_cJog|u<b6)w25pL(#6O9o}mBXvePkah*b
zfum>*rRoL%HEBCY>ugSmJHHbet0hU^vCmV;=ZB=%^yQ?}x|!6%x5GeW??qHbf(O`7
zI+9H!%K+a;6<l=lC9{PKDT_nvsQ#w<LP@)?<b-{zgf10#z}oHF;JjXMFgIis#ktJ_
zc~3S1Zq6J~adnr#-SU*pTO*0^d`KP@VOLHK4at|7U&W}->vcfUjs3tN`zBbP7!O*P
zXj0v#PXJZv)|9i+OLDtms<2tl-Jr@|2)u4!;Ow>u)W?{mRQbiPl+zo1@}dz&3N?Mn
z6KdJy@HS4uQTP=}!HlKCBVA63i}vm$WA85_hqZbr>BwaXTLqjEe}A)9qS+!(7-@OJ
z=1%KALaq3AWQg8mQebFKj+$>vE>7xBy0y&`QfWa#^|OZLw#|h$=A7nK=XuJMf0qa{
zp;9b#axx~rx||R?H-91?*!QMnoQXd<*>Mf^Mdy@wl}-v+;<X9%cy?Iw!fqKkp)v}H
zY^G3!=lW0vhTloOEvJFgq?P1@vWGT7@kKz_F$p~J>;%lCR*=ENkRp?&(O~9dPq1-R
z3RvDOmU29IkQ|w>Np*2p1BO1E2QoihmVBuwlME~$B)p*hT5xE@4xl+@4dvW)H}y4`
zpx)$cBd1?mE}<&7Qg@q)N%j>(GNjcJ;p==m;jDH3U}NtNV9}8EWZb>?!tQe~3U$mf
zsq=dbBq_7R)R44J;FF#a#W{F@LT5Tr*+rVdlb`2NFJl&g>?t?J+7f$e6KM=m+gzYh
zCzg?*<H#bVlNsc#Ts`t;dL9VFkAT~gErokWyd)Ev<baW*JV5;70`l?JIPfvZg(9{s
zqvqtEB8!s-P)Dw%Q^%CIN=jyz0zU%@*zjK6rtAb4d~G4MmvR%JZl453UY!F}l(*aT
znYR^;bzBSXtuhC>(*wZD{$Ic<o;o!we>V7trBcNB0-JqPQiW+x=1_}Ec7j`91E^OP
zpM@)0>wxFZ2gm~+anx9qLO?zWp#)yp!q!V4l558G2N@ZgfH`gr_TTlSF1DXXUA0r8
zwmOakwyn1d`z_xrnZNQZ6*VpZtXQ#@x)rMnl)Im#I>hBuS)DtRown+Nkk48a@8)Fc
zf@9aBdxwXBW~JY3I%!W6E_Ssl+L;{#US5s`!-E&tj2@FfE$#RjynV!@9^Uc>Z9-J3
zj#Gocv!I96fkpGF{-5sxm95LbXT3yWFjx)-`>z7q_PJ13I{+$a*9;IH>rAbj<_Ma%
z+6)ZTMO66uGSZc}Bh-lRUSye>B=*bS2YhoQDM5;caQH?R=oB!UYV}SXT-UrTyrX-A
zni<#+2tE&{ZiTD`Uqp*3?Y={(%ydr>aQ_4uKTVqqEi<9il5HunySB|k?|ESLL=o_~
zl_bo(fRP^tE~Mh}ONHiYF_a|ksj!#$HPvp4F1U1U7ASl9Qt0tyF%{G#kD8@lPED#j
z3LG=nf+i8;DAgf0lxUf?F#PKQa5210l5%|#P}{H{IE3a%`tf+w?#N)tt=?|b7JX%~
zy<Ija>$?hAT(<+dTHkCAbh4vDxqPs_Pac)M{)o`ZtrUz~RV>+2HUzK(o(bDojU&qp
zS>Qv@JhH{IAd0gyMOeJ`jW8h3oWfRpq$*4HN?50cQ`^PIgd1+mpw#DoCJWy06imt*
z4lZzgsR!+isFnBpg~4XF)HK0na?FH2q>V%aWDQFe_6q(=t~@r2denIt<#_J|Wv7)c
zoRViMOgi94&HhqGUeKRIwzdeP?0wpkCgWOwg0y(>E^@g<wQN5y60QVE0+Q_KTm-&J
z?P!}xIOV^p%4UUuEp^p!5bzsxNMNJ41zcHk2y`jDMXlYHP4zftESykzM0mgAEM>80
z2|1>yTzJMO9XLOaAp?%Bqk5ljNx7wQ!SnG)h3oY%0++2{ZRXm!f~EJHftZhZf>Au}
zqOf_Z$&?qSl;G2D@_k$~IM;SO$l2sUX$U(}em56_Xsux&Y1;<jTdGRDJbi$W<@!))
zw<1?~Zd6C=RIgYv?ABtTD%VkXt<atf()%txAxI@BNnVpHa^I32`rQ^PnHP}V{VRn1
zpQ%#2Viro~9{5bk7V!Jd>fpt+G}4Q8mppfNDHY?sh}^PEjY@udmW=7{M2#;>By(1)
zQ0>0$5Uvj1NAk`{$g`REh337Ags8?ANnGD4q+iiNDo!sS92)3NJtsGV9i0=%rIKdU
z<1jx;Rcf<kJDS)UhZ<A*y;()$ug;{tmR3@&SKK0xad2wboQsru(-dlr{d`h*CqPKu
z)TU01;!;bWodvpMw+lPH8A?4`^+MS1$mf3cS`x6sB?EM@aqVmV>ZIVM`555BJgf*b
zpu-W~y5@p?d0dI*g16$rcLlh)P~CV^RJ54Y-9SL3W(x*HY!Z0S$iy73%#k>3>5U70
zj08@hMuIBr7}_da&swcZ28R3I!tcdLVejr{VN&mm)r>3Yh)Rjs$HI6L(k9ZlP!{w3
z=W%2#lk$$H2gCfW8An!cug3f@6l(i@TP2ep$zpV<YrpMaO*6u{^IuTCv5P+l0mc0`
z%<iNxb_7*rp0CR1l&sDHHq?{C{E%W^@1M+P$#V5S=d<MJ@?T!p97JvTtO730TW&?u
zy5?6FpXO_vUo|mq2sMiH%YYg5OU8a62LE(EE0M8VItwGsyDQi+)T5DBN1$fhVIpUM
z`79W3z~5^qmg^sfd}QJf_ym*It7aVHS6$(MxTKiRsziR@A@qAGyx;RRwAPw-RXv`C
z_5^AD?I^bwjV*1r5a*h9^k>Gih0JrjEJpFV)>~a$ni1L^9B(6S7zik?w=kadVC)E@
zK*zKEzdfE+eE$4T#<Q~DDE=JJ(qn}qh9jkEZSicZ4c(pvXj<3&3hhnvHO?;@hlci7
zaef&v02DL!1M&E$<5^e6ZecvDXva{GMp_+#nsEmm7r=NH#vAbWzl!Dh$03D%XiX~N
zBVT#3W*p*IUEzPYq!`Z@I{m&w==VJAe$Us?TK%V@q)TC2u(f1?U|w<==$p3_1hvw#
z8BjO^+%|1PntA3?%BQ}PpOzbdHbJw1Mw@jYGANx)pT;A*Naj$=10Rx)EbOTbkJ#YM
z+}>0_vp3W@za5m(<W1nj2ZGvvZU&WV8BXoN(u6*q1i0}slN|T>C|I1dm0G2;g)F#p
zh03*BM~)%0C6)dsZ9Gi}6pe0aOAS1l2E2|g06v9@)E2)JR7U?KaLcqgxN=-99A!J1
zy8J2=oG(rWs*jw64^|DLh7Xtt?zt*~+eIfq*5p-`_3VLykH|a_Xq!)cOua$%7@0wh
zvD!fH$wWxAA}wK6bP2U@lN<Q3BO1&?+Jbp2=TP~hBfzDo7;^F1MZncwU2GLqCUmk|
z3tV!!;NZTyHd9xQr1EBDfNL)(urGX_P<^H;b=o~2XkQnT{0xH9?43iIT`&W;=PU>1
zxJnUrBNnV4KZok|=r9<UZUpA{3J3A~u2CCbwGsApkO1e<4AQe@J~@4PFopPS6q?_A
zCM@}cQ6gP0n~>6A(DrUNu*lp+6|2t%p^m#GOEPlE>v4I)^0F!5n|?gtug(MeW@wWk
z$789*51v!Y+@}JaZo1TYmW}X1;5jPYagDId;G}qnKS@o#x|Hg@90gUm&8QPb8dS?%
z4{Cw#HE>d207|<w6?RdY3XD3tk{d=X1FxeFQ#J|LNcSF|K>f{OsuvbR`L~V-$JQ<f
zyL}SCrNB3&$@ENMbEq5Xb$lEZS+Jcn434GJ-g$yRNqZrBNGSY5@`SqmQ%E*Rk~zKh
z0`(_n0noP=9$fB4X-LP#5hhD2yd0=DJ$4GWTR$MjOf|8IF5X79xwldH%Ih$d{;Uve
z+O&gWd0wLqs?G*Z)&TV8Hw9hqO$JJOCE$e7c*^5s3h8y|yil@f7n#gKLFxK9aGL92
zvuI&5HT0PqrOaAF1!v9&uMF1!p3^3<%Dx-5^3onE+jt9Aw(f~=b(RX4(WVK|7?ude
zcWz5n;yXbK4#14*D=Dv2!QhQ;N1(idU9@doCn~Hci^^IY0Y=Q-4|HOps8_`XRMo2j
z;MVap)$@Wex$|>#s^mm#a+2~};r4xnR7qD$$(Qmq)W%lZsn0I+sPv5z>ga+L5R;n#
zka0V}lTEv+vlrYb`*P{C(Jxul^?U(H8<#CPH}^O-T<Auruko?z+Li>XM>j7jZR1NV
z7;6HC*&Y-|Y)+=!cEk$xBst)@FrNB+V<(lU<w^|*>I1~u7ljLh-N1z}8dONjbP&Hk
zkK%4E5WY0Y6{Zf~DDa-7DOj;`E79bO8lH7uo!DuVNvzUB1c63Xg&me&7e5`ELd-3^
zfWHY)7k?67z`5*2c*fD|c;J2=%m|Al9(x`mOhdWi!Piy9xy2D;zX=rafTM{!d}%7^
z^6-NQkIcY#l=Kx(^i9RLs`eA-8+nKbtEI%(A*J{$)5YQ?Du={?vzXZD;ESJ0Traja
zphRA&&VmgC=L?WAcH*b{mjowvb`v{{UnwqZ*;m{`c^Q8BO)B>In1Nu+4QIjOHjx5%
z<8FB6fS00X?i0nSFE`^ekL2Q+=Xv6^-H2daSruXTqy*PJvWgg{%@Rz~<OwV`j1upf
z?I_L|Gn2?{mW{`YLy2c0FNkr$eZ`gB*M%By--++uIYqeiBk|9vsp4+#USboQG~(9F
zO<1>~B7Em%fR~zcL_Lso#N{n+#Ml+x#hu!I#Y>JiCnj)P66af{;RlaxCNfLfi#b6a
z;<7<H#OWIjg8L^*#ce-1i<SGIC3FUO6GY+(f#U}qf|WKw-~qG?iw({fwr<f;&`l*%
z6w=RMoZ3fI3=FD7mrk7^`VMR-ZoT{q5pOgHkI`O*?*#~v_NAQIH`SLgKzpIuHp6gp
z_e$ctn}wjuBOtcCa1Q_Q{FA6qFHT^TSs<R7KU!cnG+#XQ%xC;<f;wAb(~6L-YtOs(
z7kET;$7gYyi33%3VUHKaNOt+N1T&{5iIVy|5U!t^;03n9sNT_FLPI@3uwZpld_vk~
zv3A@pqNlSuTVR!nCFrigqf0grs@*yX)JGbKvpzn>FV1ftfBVZ`RMtm%@(6Tq_E3S|
zmMrW{)HD3ycy+<zmyUv}QFBqtJ_cxVoBMcAA6{X^WD#-d7Ao#|e=uI&c99sJ=TDsK
zs2gvbx&SkX*222j2V#8H@0i>Em*`Q$d1$<#3cYJ{3F%7!Jfn{i)?2+L7WR<9wfc9%
z3f?)RlRem2$)S(Pd850CneZ&)p>!F&aiJ@gVtp7rHRmWYp#2fl#M>5gGHHd*?f(|Z
zIaPo^jx9$&FZqV9pFbKK8aN%bLhLZxvrX}hM<!x9Zno%y36*Hx%syCg7k!i!Fc<3@
z+Xj2BiDSllm*RtNRiV5aoiL?<E?6cKfi1hMjJiIYffiNu$L<y`#^Nt;K_3jAgYL{C
zQQvN3u%R8}(F*e<bb#atrrpvC1B)%OefRUxJM-IMW7h^?hf@6U_zp%`=MR~vrruD@
zGHwG_{(d0Z?Nu_SyW#`7e$;t1((@hmt;sdiN3AOs_4OWBc!h)A-}ME#d1)hh<;o-U
z-p3~>((*W()UgeQ%~r)!gUqobsU&hN4@GyCdt+DU&%?gt$6-@Sm!Te$G=;MJRWq)v
zp3j2uB&79^Bg>h5mba|iA4knN^3Tj?B|6h8XEB=BwcoBBN;AT^lew&sG!O(7_uDYL
z!(r?Q!a(P<kiR{jrTCu2Kbg;xy)*lBK8t?G7LFK>l%}=ivs{MI?V-%PscU}OjiC7(
z=T~)n8%jxWei<+WPhso_;_y%BvrHJfh50N+JBE5R(&`A*j5|!^3^1Ps;|++bV!8ft
zh_xxLNnLS>Uv-85;gVuLD{<uSJA{6ZGyL~_4Xw4NT~&`~p*=xbe>+;u*b(z$Hv{y4
zOFZj3hE}+M(YvnoR(BlD`0G`j5z<Kh&my3>-qPM$I$Xw%;K1Q`O%%U>0>6_2=N$)L
zPzQy-H&lF|SB(|@zj}WbKFokr{#gdbsmi|9B7c6ulx5!x`T2c+`WrC6o(XmNAK2et
zw7$Q0&S3lx{dO;e@lW$V^t#rBWxyyH>IOCaHHGV%>eyem!&->G$9P!tf1Cb$c9r{I
zVOKTrpe+abmnPER2g}aYrPXwco!mfbe-CvJGj3>sv^~|FPbqZ6ANIGl_X_MhX+={Q
zVCq`uQ+#Ot>L~nSgKbpjA45QKoriw5(xZBpvhPI6YT$fxsNVb^m*6_D`28a_maCF1
z!d8-gS*||c$&mflN_IfnQdVG$ySwyM{@pdEEc@ZE{QF=`S@vT3&+Wzv?OhbwW#1zE
z`FaC|c0+}B*{k9|%a@)1e7$Vv@^iav5Bzhx?2{rtx9cgicT{MXeS7Wa>*?P-!#gZ(
z{OPDIPxsM_X3}N+L|y)*(wF9EApNO_#?yv?fTBO)FoQ-J`+*q1PtGx)KCJb7^3dOy
zzzb`kblmyZcR|V-yM@;)+Hoyn8hrKNA7@GatK%%%u9Sbgea7*pO$6GND^rdRpzG=E
zll1E)Q>*i(Fy(@2biDyhSXqm!^OZ8?%4E78+WqDA)%jQ(=(52knnHhjc@kaz)Be`B
zz9`~X*ZNWrTz$NM+Bh5a`DYPOTwmaPTg}Wr*gO3kh{ck9Z%S4N=c^rL_z!7q_NyC6
z3ql#Ytjm5?r_lVrj>7&!r5f4)>kz2Teq9;+fdity>dRuuz6C8i{<roEpEp6fa|xq+
zf^wso^6Ch>9<C=ZnRx~I6z!enZa9By#z*uD4WDDeJTH8|v}U=!`QNPmG|GSGchjJ~
zd<^-$EkOHI-}QUGhSpl!`l2{5>snt7qG;qG&J7L6hCbff)|W!YuS0zP?)9anU#$Kd
z9{NK_>;D{H)qx&EG#rYY*38>iZ?DGuFBIT<3;m*c<nKF$^VMMY@A(>9Yi)i}aX(#`
zU#y%-BM0wCL&LG5kGD3zSkB~QAU^-rzR_hm-D4<Ymvz~%9rIyb=qI4QjkIAPP@Dax
zF!lpc_`BD2xQ;=)OH8DDg8RV&rd*yx*F*nm!q_+DQ?z%eZ$qIq<0BLK(BZxj#zpWw
zZpCu_<E6w{8sk6n`$W)QIJ16l3DEvHdw$Q?&|2A+;|SJ8fKFo_B+MSYMWd{48WCk>
zqLUBOh=MidNYu%`=E=ohaG$-)@S}UTiPr_0h`o>IV7bm3?C!qbhz@5z;4{yC!AF%$
z5;UE*NEAK(I=U|HJ~4S}KVoG2xk#%EZP|8lt%#TIcTs_Z2X^G68t!Mc8Ea;{l(5ls
zBs%Q26StoJ7;8^tw#)6GM%>%~gg9Z1pncXaK-r%M3wrMX#Jc45_zhoz$UC(hv)R|o
zXcya_*l<Hk%(PA}++y_vO$_TLn7Vo|me4ARIN$$>$Rni%-g5D6!<X&!v8OjAqLVLd
z@I>3DxH+{PkLWlSUp+ZcY?8H!7?PBSjC9py$8m!Q4wi%m&HjKbxX?nN9-xned8LaE
zcwHinn5`wgO&fs?+p^!tg;GMVEX*aoE-}Hb*$+UHnpfd*-dci>eWnP8zl;)G8aI;|
ztZ~t}{IM&(%HLiPyQHFUQu;ZhU7n#>rN|98)0-ylVgHV3TW|)uxT!7s#OPvT*Vs+C
zOVxY)cvLUJWu<<^+%c2zXy<c+-B$()N_SfkOFL#6PhX~qd)sZtY;NciJzb-)<>7nr
z?n{Q@gEyZgzCTqVz}CT7VxW`Gl-Z9(ej)2{Z;NDn!G|@t>5c@#=EgW&yK|(tML&IU
zf2&!1gGIXRYj=x@<vMwIepfwFd+TuAIk^<|&zMi-8*s$&_ylp<6iW<A&|+T--$~r`
z$R=)TuP=N&b>_a(?ac(}>m9`N#eDI`7ct_E4*A$?ktX|Ik3GZy!v}<^T}!kjN0<G+
zlq=Yry%)1oe??4MGlyuc-k#lbgbtf1oJN#njllb}MWO_E9-4AJ3n>^k6t6NFjko@=
z5`TXpOLSEoH%{qejU5oLz&Yx^XwD7}`u0jF!9p%$V@nLh9n><3x3TTx&C=Vkmq#WL
z!JVe#QFGgiHpF(vot~xdF$hV((aD~8x57Mp>)Q;Gax`Xq#o7Y1Zd!!9+;GHlb2?#2
zVkQwy<=|?2Mhcp~VhbK0_7$m&&oz3Sc?b1+yd5v&o=5i&dX1^i6BhEnRfr0Xw8T?a
zE+ERSazyu4bBwi$Ct^2N#1m>jNwmZIExP}mx?uZdipXynAf9WxP`v6^Gn`DHVRSis
zG_hQpBQ^>gj&(pZ*h|kx3AXUQi5@5^6Q2j~CeCwN*wA%a?08o$vCzH~5zE&v#8$iQ
z9eptqpC8fzk88e^NMp?;yzclR=kWGyvsv1NN7J^r#6d;m{Qefdv&|6XP@+9<75R<0
z_jEq-b^?mDncANH^ri!GwO~H(Lr%h8znqDWk2S=ehO=?=fjVL^Vmh%Xq!1(fwvE5(
zfD+|;kI_{pcjFt6p2r^qP@+L`5AYnnaPhb962jd5A~yD%I{U$>WrWii9l@}5tpz=I
zbQ8=qJWKeCOmHXfEyM;jM0Bm$Qp_Le%q~PdM6OpSV^INq_>zlraj!ykti!V@cyw?W
zp?-%D1r8b~T6ee1IA?M;R?*)EWA$!>JFZ-e-mF-LhdqCTy~Q*Hea!dbuT^e~vXmW-
zKOVh?jc@r0Q&P?otv6eQcJzIOPWZeQEqS#IGh5RgS9+_C&9jO}T{c={<4$B?XU}`0
zi|**)UqlNrB3vCCzj7fyxauhSd{8zzt=B*-ezp>}<<V3$;nq-eOVU)#EGit^<+>3q
z`yPXGk~7i43tD04RUFZ$UT4tc9&CJj-xXLmD;X2cxsGa1Ys&9R=HrDM69rp4zQAKs
zV+9p6Eznt0K69dzCnK_TqhHrqf{?j$@NI)HprZ}?Ad~j91^k0IF|7nPf7Av?bf`Ch
zzbRSB_Z-w76H8RFj7b`Jo6s`BrPLKz=OT`kNz?&ex!Nx5bgr6><;R8iQsc=s9j|>w
zbuE%DT0YL@$@&;l^d4O~Cjz(07w~(38H-dZok3IxXFUB=Z(e7UY5e961F>6?=1A(T
z(E?1jE1IHw8H?ItZG)Ej2nJ7IVkVQ(cr+pa5vVOcq8OLgwZC*-L`#Hm7L?ye8wLWk
z?Jr+4`#Oli-@U)Axi6}oH-`HmNbA23I>h`AiQad?@%-s|V~2%M(_d3KU+v`oq2Sj%
z4Y9U1zo_{8s=EB5K`M<N+^04~EF1EeYx9e$Db-Q=xAMk`OuxCy=>F@n-{=)IAM_K|
zwQel^Uq_%e`z>Yc2af;mUe^`##>JU*PcR=`$&^*I>3Zm2JsA6je2VrC^=&A$W_(1)
zFEDQm<09F+BC<oVT>p5fcqJ|I&-@N3v=_hSw3fB~g?`V4s*R&z)*C#3F1q~SA-=j5
zLR9Xmz>4o$5?TT6MJZmL*{hyg6EakGJ$R0Lj9!gO^16#J=d~y9*|rlGEZc&uoIn<i
zK9E2V`;v(0HeImdZ%+zMn>H!z5ne*Xp7tQ@h6zOa@7l8;X>0HQnq`Q4H8T+?&omVK
z95NOdrWIh8${nTurtevytPj;gD+G&*?hv8wvHPAxC5pDUt`c9rWlOv#&u1;Z%M*PK
zyh3=4VHbLCti&vf`{V5^JBhdN9V}3r+Y|4YsLo!$`GKgwx1B&>wM4wU#Sj5!car%2
zSy%kkB0cul=xHKZA1(Jwh!*}!apxB22}1a`F#AH0xc|vRxZ(a{(IMO2qTIoK@Vman
zXyw4(gz~&9JmBblyu--t;`LjTiB)eqvq?$B_S4N&#fyB|f}m9wiCdag__Z7(Q4gK=
z?Ccw*^8XyOJk$`=+!INJyId@o`rVySA2$v=zq&i&5vUp8RkC64fYa+m9W#Oo!%X&I
zUa=bNZ5cVl>jHhj>ibRbrXlUwH{<l;y)SDS&9iQjLwXh%5(lfY7i~UfAk%-z?hb4j
z4LLO+hs0+XF4O45p40S@Ar;V;J*;~#Ls{FTcN%Q6sRrA(Trd93sC`*uKeuCV$)0O?
z2{FhS+($+3Wk)<|FWR0j5k-Y)6S{5HabZtQ0$Zts2aoH-p5fP4-p8TA-LO2ipQvPD
z%Kk;+mS`485<5H`jE%O*6dhhXvx#3HO;HD%G5cBAvBEruCHTdi>bT2Bl!*DJEfRk1
zz}7UW5DiUyi4|m5V)<(>iPYWiV&N*!u(fk_*xdNBa=Qwgy;!uh!i_LYQ574jvxwDa
z_KQ)aqQduqrlP=a>xoEbfL91(_vH$=pv9f;;o7a$hzR%AIBVovv||%JwzCA`96#I>
zukbM>3f}g>R2Ft5+VyXS4>fAXuF}+xm*G)0<1=xw<r=JAtR8zrg*E2Fze;qBosJ!;
z)M0nyw`aefz5%!E)`I`6_(q}Xm%aE?z6oA_(VpnEu(RmNZY}odE<N`k<^{;TK_$eJ
z4+HUjeiFj))DmpXT@CiUD>`zlxSLNCdu*>`Mlqe(g=cixS%=ma8s&Y)Vm7YltevCF
zKKgze-hYNZ+u3ujsNdF(ctP{Y_}5!ci31A{iVWN}*iKeg_S?587wHCD<IlgC5kt3F
z;QaAx3foQ4VdtDaEzcLm1@*!W%=1K6yPJu6?XM6mKXzPXxy?tUbVoP-Kr^j<Ap5##
zhVszDCmp_^KI636Cmoj%Hdn{vN5nkrK&l3N$@7!E3l%+ZlbA{PQ|+_Z>T9m}#-ibf
z>et1bzAEMNyyq;Fo7h#`3E1%SoiO&j4rq4FG_2PY64lVYZq-Zu6xtKrfj$`ioj16I
zg-$=((K;yA59Kf0ir=o9fhy05=UnPp!98YdfqM@dgXg|GfVGPrgl}GZmAB-skNJV-
zO{``2L-P%R+jtMf22}R2j?U#FnLFNMx6SvUWP&nBWm^L8-KO1`*{s|Ae#>7Y-`AQW
z!!w*Pr(@Z;r(X~nXx_^_)@%*0?f&K1<!K3cd)@n3oMsFzZWoW-(l0k3^e#d^2SMr>
zoKqf$RX*#1zP4J#w<Nw{w#~1hYae#yk52MO&a{zWhPo)vS)zmTwRq^O@^5GtPAQ&{
zn2KtJd0S;wY_Qm~NDrH%CbhG8543XWeN=5l9<K~ZH~+3N-%>V?WZj`y*8NAwwPeb2
z%A2XkrV3}|$!RB~i^{bw8{0YYrwIa)CE6<dGiU-ob^jA{-OdlBd1M~eETJj#Xv8YB
z3tj_y`VnrHrhQB;+xA<}^|v;%+>)@*LMHp;=0$S4IDCiYljEk`U0Yjo^!CMZwRFjz
zW2dBYWIWLiGAyb#tS~irzQ=s?aFNBLYo-?NNoHLANwJni;fS2aeQ3G$d#l+9_&N_e
zR&^7-({(1cW&0xj$!_UApStqo<7jF#9W#lHLs5gX);@>lSsmJ7jLl2Dj+m%XJa?xg
zOP{bN81mZDihofXDSj1;oat$Z3Zsu=xfhlpJfoME*3Bino1Jv={Ev(AdzZdrbCTxa
z^R`bwnv^MV_5`v}nXYC%?eL>!3$P9zI@pw?HfZ6*`B+uhBeciKW7ci+KcW-2Mqq2d
z@8&JPp^v8OHbH0h`-qMkat<$9k&bFvg>nTGDmkqr&(Nf9{+Q<1^Jx5-aac?-#e199
z)Iz`Lg?y~<kH5jDZSp|bnoX>1H(T(gT@6NGydV)3mJ#PWQo@Nm`3<f3bcEM$ff8~&
zGYN_Dnv8y1xeeQ+HVc`rtZnYvY7A$Y&M|H&rvgd2XOC>XbQXD|%HqXtW0_6ym?Xa+
z-yR=F-dkVbTlD>CQNm3&vrxUjFSWz@PZs)c4;eNwTd~^%X|m?MY5BG3yzLS<zIpUD
z{^T3o&?%?i@`AASy-c&MxCcw;qT8>JMFXpjAn|twqo(J}tc^z%TYSEGi7UfuSc_~_
z?U@UbP-Smzvui&8#FhYLWa3`_z4G?mHSb#U&XDi<6{Q?rcF+r+%DF@4Gw=05`hUqm
z-TDUceGAL}<L3gk<wq3b^1AkyDLFFjrQcnkN#oxJhCprmOA}^a2jTd;_m?&IMb-1h
za6bfT{r5q!4)hqj;ZWrCPtP02D&SvDd1(R8SC1mamWExf%`YmxZ(EmNbj_o2g!|Nn
zjcUUieQkcxj(J}jBJywLjf<InD{|?c>$2a1tu!C>6Hwnq+At8P&3;*oUxO(8-Rrty
z-uPoa-IEg2p}{u##BK*op?_V?*f-=;w0Gw6219DbM<(*I!@Mz!iy&T#<@(1<_Z(=D
z>x!5B{?&T{?F!mU)|TIQ5B*+f@$dN>T5E0bk>b3pYkes#ppk<(H#8g@`gm(wUpyGU
z4)OWB*O!`pvHHFd`a?+T?+2eUzc*?Mha#tc`o6JH0sm^sOABzm#+E3yH0*LsyQ;q4
z*8C0xjaO#|w))$dgCi~C&-yMzO+2d4GdONY>py;U9zFhO21%OyY4fZm9@Xsw;sBrD
zE0*hzkKJAxkw5GGuj8$K`M2I#q7nlQbgoZ0|9Y!CmLF#q@KcCf<a3{!Jj11yoM&!^
zh}RQSEWOWMY()1!Y<|cb-lJ0`oO|0!k%*9FEHg6}4HjQU-84q<^p}r7KDOPDp6hrK
z9nM#>)_-}48@AO1ITB=xl1-G6_|t9qJ8q2O8-_MV-CixjPLImL9Pkx<?+uQYBNE!6
z9|Q*2O+ib<d7rj*B0dFK>%108|FRM*(@wz#pEO0D%yqUrp+z7w`t3jmyT9h$9h+mV
zbk77?)$Aa$jr9q&-G3LoQf7)MhZtJE_gRB<JFpGi#+{3Nb?C@nth5Myk{E}cHtLEk
zGj_t<BF(IP+5yX|?&*ler;n)Fc_ma?!vNjoZOAP*nt-TQ>_sn3-h`%nxyDc2yVp{?
zoePo{F%|tZpflo`^3aNRm5VOb?1Jtco`$`9m4JC#q@n8TE?C>PNkiMHzC+Q@ByyZv
z$iMwu3v=-;Mb(`xu&K@3V+9;8fA?bt^G*jM5y{|oSZ~4z{f5p#KUbdQuXlfebS0zl
z$}#=%89O$k_Ux6`@0>=XyC+^kT~>PWuX#V_-{~8IM!CL69=4c^W+X(T(=_|>JL|u+
zSe@~PKOuJndUR3`WPRWqWOPDb#Ov#JRR4h^rg~`+7SpSUJL1}I?#F?f5$E7}SVn0V
zWO`O#<n<y4tB?u$sQO4xZ1B6K7+-s<b^hTn%XR@8Xl6MVOUm#@j`{dn^|`ByaLSC)
zwQ94myZ-4|==4xt^VI2<Em!KJJNy9_IXnjG)k(|Bxb-rG9I1q^eRd1ITWE^;YpZs*
zQ$Ni8mY9H?e)tHzyWI%cF>M*owu`1!XrCU)<nK;sx70pp($&6*veHT`G9(6hy!k7l
zyXz%?kN#Ebz!&=H_S>51!!u9N00&DfC#_}AFf7UPVXq{lEa)Z5+2f3ya#_gd>9V=E
zD<hDj?s4cc|7i3BHvl=>GsEiO>2&1znO-Qnt0AH{Wi?OiI|y~mHAB;%>EegBG{t?D
z%aHuECRUDSr;tRSZ>awU5f2$T5D9p43}Ii1N1S)y*ttEr*bGYz)J8JZ`s}J!sE++M
zw3W$tBsHsrwZ-Q>=o&#K62}U~ym|#<=gK$o4-Ri>^+9k4d45zE(+i!4EVNy3X@xnV
zYbJI_N~b2FeeUI<Z8WY~XYC!t%~df*j&N+zR`$01WBJ`Iuc_PfEt{=HUO$?MCI#<8
zry&!p^h-*(<2Rq?4~SfVa$J`1$S`BxSKC>ZV~PN}xMOondunscF0!>1_h^cF<cY_8
z%>i%Go@@5=r%!f53UVh}Pp6F0;;0MglP&wut%1k+J3NM&f9ul?8S!=`YOsVrShF7?
z=9&ADfr;8!sX&Brleb~5zdqwXII`Fxz~T!MabqFovAa7ue^NR+9C?Fymv2Lih7oA?
zid^)r*J?g%uaM)aXM*h3=AkP`O+>EF<RRCO9z*W-n}g~I3$PRV>oIatBC3iWwzj{K
zhjyD2j;ZWJ(EJH({#xEF%&<c`e`}{5XwJwabjXNgglBTX%5;MtGGpW_r1Q|p{EC|f
zyg3Ii%b$~1TVNUsjR-U%P;Ufk#zWQPLl_4^TL1Xx<$uL{A2so)9v?y+V4hB~Tz`CW
z)99P{XZ_BzCLY!81L6Q_{l{Ox>>ujNS61I&)Z6gud0|aFs@n&|0p=|f%k{@cD}h$I
gE`0pzIkNg)Ruhlv_5pE#wEp8SaH2K*v-3Fr57zbGod5s;

literal 0
HcmV?d00001

diff --git a/sacred_file/2/metrics.json b/sacred_file/2/metrics.json
new file mode 100644
index 0000000..9e26dfe
--- /dev/null
+++ b/sacred_file/2/metrics.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/sacred_file/2/run.json b/sacred_file/2/run.json
new file mode 100644
index 0000000..294e67c
--- /dev/null
+++ b/sacred_file/2/run.json
@@ -0,0 +1,64 @@
+{
+  "artifacts": [
+    "linear_regression.h5"
+  ],
+  "command": "run",
+  "experiment": {
+    "base_dir": "/Volumes/seagate/ium_434704",
+    "dependencies": [
+      "numpy==1.19.5",
+      "pandas==1.2.4",
+      "sacred==0.8.2",
+      "tensorflow==2.5.0rc1"
+    ],
+    "mainfile": "sacred_exp.py",
+    "name": "s434704",
+    "repositories": [],
+    "sources": [
+      [
+        "sacred_exp.py",
+        "_sources/sacred_exp_8150ed54d93299dfccf6867ea7220971.py"
+      ]
+    ]
+  },
+  "heartbeat": "2021-05-15T14:30:31.335228",
+  "host": {
+    "ENV": {},
+    "cpu": "Intel(R) Core(TM) i9-9880H CPU @ 2.30GHz",
+    "hostname": "Wojciechs-MacBook-Pro.local",
+    "os": [
+      "Darwin",
+      "macOS-11.2.1-x86_64-i386-64bit"
+    ],
+    "python_version": "3.9.1"
+  },
+  "meta": {
+    "command": "run",
+    "options": {
+      "--beat-interval": null,
+      "--capture": null,
+      "--comment": null,
+      "--debug": false,
+      "--enforce_clean": false,
+      "--file_storage": null,
+      "--force": false,
+      "--help": false,
+      "--loglevel": null,
+      "--mongo_db": null,
+      "--name": null,
+      "--pdb": false,
+      "--print-config": false,
+      "--priority": null,
+      "--queue": false,
+      "--s3": null,
+      "--sql": null,
+      "--tiny_db": null,
+      "--unobserved": false
+    }
+  },
+  "resources": [],
+  "result": null,
+  "start_time": "2021-05-15T14:30:25.893032",
+  "status": "COMPLETED",
+  "stop_time": "2021-05-15T14:30:31.333523"
+}
\ No newline at end of file
diff --git a/sacred_file/_sources/sacred_exp_8150ed54d93299dfccf6867ea7220971.py b/sacred_file/_sources/sacred_exp_8150ed54d93299dfccf6867ea7220971.py
new file mode 100644
index 0000000..9fd53d6
--- /dev/null
+++ b/sacred_file/_sources/sacred_exp_8150ed54d93299dfccf6867ea7220971.py
@@ -0,0 +1,80 @@
+import sys
+
+import pandas as pd
+import numpy as np
+import tensorflow as tf
+import os.path
+
+from sacred import Experiment
+from sacred.observers import FileStorageObserver, MongoObserver
+
+from tensorflow import keras
+from tensorflow.keras import layers
+from tensorflow.keras.layers.experimental import preprocessing
+
+exp = Experiment("s434704", interactive=False, save_git_info=False)
+exp.observers.append(FileStorageObserver("sacred_file"))
+# exp.observers.append(MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017', db_name="sacred"))
+
+@exp.config
+def my_config():
+    verbose = 0
+    epochs = 100
+
+@exp.capture
+def training(verbose, epochs, _log):
+
+    pd.set_option("display.max_columns", None)
+
+    # Wczytanie danych
+    train_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.train")
+
+    # Stworzenie modelu 
+    columns_to_use = ['Year', 'Runtime', 'Netflix']
+    train_X = tf.convert_to_tensor(train_data[columns_to_use])
+    train_Y = tf.convert_to_tensor(train_data[["IMDb"]])
+
+    normalizer = preprocessing.Normalization(input_shape=[3,])
+    normalizer.adapt(train_X)
+
+    model = keras.Sequential([
+        keras.Input(shape=(len(columns_to_use),)),
+        normalizer,
+        layers.Dense(30, activation='relu'),
+        layers.Dense(10, activation='relu'),
+        layers.Dense(25, activation='relu'),
+        layers.Dense(1)
+    ])
+
+    model.compile(loss='mean_absolute_error',
+                    optimizer=tf.keras.optimizers.Adam(0.001),
+                    metrics=[tf.keras.metrics.RootMeanSquaredError()])
+
+    params = f"Verbose: {verbose}, Epochs: {epochs}"
+    _log.info(params)
+
+    model.fit(train_X, train_Y, verbose=verbose, epochs=epochs)
+
+    model.save('linear_regression.h5')
+
+    # Evaluation
+
+    test_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.test")
+
+    columns_to_use = ['Year', 'Runtime', 'Netflix']
+    test_X = tf.convert_to_tensor(test_data[columns_to_use])
+    test_Y = tf.convert_to_tensor(test_data[["IMDb"]])
+
+    scores = model.evaluate(x=test_X, 
+                        y=test_Y)
+    
+    evaluation_info = f"RMSE: {scores[1]}"
+    _log.info(evaluation_info)
+
+@exp.automain
+def run(verbose, epochs, _run):
+    training()
+
+runner = exp.run()
+exp.add_source_file("./training.py")
+exp.add_artifact("linear_regression.h5")
\ No newline at end of file