From 7207057762f9e445658d3584f55e5c69f037d82b Mon Sep 17 00:00:00 2001 From: norangebit Date: Sat, 5 Jun 2021 11:00:45 +0200 Subject: [PATCH] Add model data and comparison --- src/chapter_2.md | 19 ++++++++++++++++--- src/figures/count-phases.pdf | Bin 0 -> 11806 bytes src/figures/count-type.pdf | Bin 0 -> 9858 bytes 3 files changed, 16 insertions(+), 3 deletions(-) create mode 100644 src/figures/count-phases.pdf create mode 100644 src/figures/count-type.pdf diff --git a/src/chapter_2.md b/src/chapter_2.md index 854832e..86fa5b8 100644 --- a/src/chapter_2.md +++ b/src/chapter_2.md @@ -74,13 +74,26 @@ Le fasi considerate sono: A partire dal dataset *labellato* è stato possibile costruire un training e un test set, mediante i quali è stato possibile allenare e valutare le performance del modello bayesiano. Mentre le performance del primo modello sono state valutate sull'intero dataset. +\begin{figure}[!ht] +\subfloat[Numero di issues rispetto al tipo\label{fig:labeling-type}]{% + \includegraphics[width=0.45\textwidth]{src/figures/count-type.pdf} + } + \hfill +\subfloat[Numero di issues rispetto alla fase\label{fig:labeling-phases}]{% + \includegraphics[width=0.45\textwidth]{src/figures/count-phases.pdf} + } + \caption{Risultati della classificazione manuale} + \label{fig:labeling} +\end{figure} + Al fine di poter confrontare i due modelli sono state utilizzate le metriche di precision e recall. -Com'è possibile notare dai valori riportati in @tbl:confronto-modelli-classificazione-issues, il modello... +Com'è possibile notare dai valori riportati in @tbl:confronto-modelli-classificazione-issues, il modello basato sulla lista di vocaboli è leggermente più preciso del modello bayesiano, ma presenta una recall decisamente più bassa. +Dalla @fig:labeling-type si evince la natura minoritaria delle issues di \ac{ML} rispetto alle issues generiche, per questo motivo si è scelto di preferire il modello naïve Bayes in modo da perdere quante meno istanze possibili anche a costo di sacrificare leggermente la precisione. | | Classificatore statico | naïve Bayes | |-----------|------------------------|-------------| -| precision | XX | XX | -| recall | XX | XX | +| precision | 0.46 | 0.41 | +| recall | 0.74 | 0.94 | : Confronto dei due modelli per la classificazione delle issues. {#tbl:confronto-modelli-classificazione-issues} diff --git a/src/figures/count-phases.pdf b/src/figures/count-phases.pdf new file mode 100644 index 0000000000000000000000000000000000000000..3ab1ecb8a8573ee29ddbcfe791237d148e1839f4 GIT binary patch literal 11806 zcmb_?2{@GB_qZZ5SwcjjSCXu=&lp?w62gpR-^UULGego!h%A+zR3ggKqExoZl7wuj zP-#IZqV0oLzx$39@_Zl9|M~OW=ia&Rx#ynko^$T|9vL$|10}RF4k1(Y94ahFpdl3G z=duf-t_~s1oIR)v2m@xw5Yl3gKNUjiIy0Sp{5&8{O$3$Z1_P?hTA&}y+(KbGGpP`6 zdXa%2jR|3=$7aq&`yUKpkkw|Wu@V5>vcb|rQPS?Kh0f)J!Y7h70UuC90dcz5txDpVBPvcuXkQVRPxk}cn!9u@ znUl)LZB|88S8U(;Ms>`CqSV8=cWqzWwxG83?eR}Cr1@)J zxTHc%@=4(2imSbHv@G-NrSL2c{-;Nrd-)3#Ua;@r!Sm*~KgG8MM3z6i&wg)BivuwP z;L24@KGpGJ%^l@Fe?5)C(2R~Gy0%%ibph>NgiV>Zw=aL{H}%A7-xGIb$lu5&X%44z z1xo#k-IAi-Bo=sdzaM^`UzGL3(jv9Da`U5@<){?B$gE_K-R2CWF^@zPm%JWs~5|`r@NU z3gmBgtl#4raNRV({%u*U==Q-O34V&_ellN^C=41hV0~YP}ROs zXvBN+aGJLHj%CIq&8r8O6r7nn2s`87KH;}pX88)(si09Y937cSK$^c@(AO#^8X{V(bmE5#UsA^zMY&q z*Rb7*<+WUZ#@Vsse>pxZia2L)jRYeaJDNv#LNh{nW!1Ot)1S|6Do=ZH@R_X4+oNl{ zMf7*2lp9-9B#+|~!w|lbTPfyZbAf?9}KtNrP>|E~DA|x*r(WTg%qH3wKw& zIb=>+%|$RNI8&&Y+oK%J*SYbu?YO|^%C;=YM|fp!B6DXBRSxG`@crP!y+2|xuXY*R z`;ZIwu2Xl=+c7l6wIzDJYwGI3K5g!|+iE;*qLO#(vulrjDrwxyJ^Jj$uKQQH^3z(> z=zq!FgV;C+3TM$p)ZqK9zJn88~LH2f2T(4 zIkL6!=pEkX$_)xO5d-WUONF+45Y!!sP8M2+*@qm$?7N9k`=HvL?r&O3v#X`nVx4VY zsmV8~Iq2@bLEe1oY{A$X(hFrWo=J5(6LL0V#e?HfmjtYt3aNow9Z93)*K2%i!&d#b ztw{D%7H&wO@x$&U?|p$nrk9KREt;ilnlB2iIeNt>So=}K27&9mF|sKPDf6!d;)SZp zPKh$TUk*LbN_O8DLN*jY9o|>e;Q3%Fp)Ik(WA(iZBT4=Eow&3sYKHg^hbDS&+@2r= z9Q(X_GGh13DFwd$ol7+jvKjrd=loZA7&z!J=FDKQm^s43n;X*ZqIfF43;(EMdoo%n zTbFfYe5#Y&xN5nU%#BhR7gy<}Nc1Er>iJ{>K4;?r5Bkm@ilz};YA(JqTos!7+94>c zN&FslGaq(cWvXS%xqFE`_w@-H>H?T9nU$)j3eLbT_ovafrCwi?CN~?TbaV=Sc_`1( zNV)OyZJ3~M;Wx(jq7}a1p9*ac+WXG%jZoBJN>LTHPdKs8ic`b9%m}^z_&cAovS%wd zojL5IxhqO9b(6=d=<4cCZG0nT?>%~VNO{`#ocDFTV6d&e;|{NhNy754dfXm2aHAr> z4z}L9-T9q=yOf2%0s@ST6fN$zd`8wdayhp zef#kbQVktK66wL|($ZJl>z~=ULGG_8#&vhbOZbHfCSFOdPl{RL9C^b3Nl_o|bo}b6 zpyXC7t}(*oQEP{lT{Xr}c8Yi?KU?PNm3f!cK#R2(Dvk@hc%EXl1$CAuoOz=*31V2B z`_d4P85mMIA$vMzZ2XyG5a|Hl@Crhll))=HMGgJEaBW z1!sDTGB6xzj)7^Ism1F_@eGq9kRLXDlJ=K0C{%JEdwGdHL(a_jzzyt%Hi6JBJm{p$ zeKHrbE`{ES(fLU09X?zG73z|qmJt3Z=13mlgpjI4CU&zk(KWtGAI+KhmYJu)wUP9_ z1`*B>r;b=|m5nY~AO8*;FLzpg@0nl`#rO9Kwz3Ht{m^SNIl3YDOj6@!-^L__s(U+! zqF~u8Hz5<1rV2xHtXLA}on&6n`u#=f_j6Q-+)P@Eq|>`QOrNDsuJym^_|$ECay?V> z!DMDh%VCmm`9xndfy*TB>Cni8ke57?Tp?j|>Oi1ia*ybss9>tcL9v%^Q(w7$9kE%z zfCS-N$6_Ri#uDa8(BzmlA3J(E``Dg{Gg^>VaI57G{%2E;MqNQ2D1gW2mSo=(y!x$5D|9-2624+Wx%P>sZ3*o2%B}Ai_qja&gRR8}XSe`E@Re#Y z3}NP(go(M~QFh>S28F+ANjW4|p4Uy+9h~ZHVHOi8m^!H*7Kr>HS`LW)8B zDSjZkyTUpop`m*!ZE!use3E=Y*+s`bO1$-~zz2=9-h$S}w?2{-bJ7{NxzE$yNf1$2>C>wV`#*m3v`lr1XgB)L zD%deXGc7+oXf#15pYT0ibT4yt~EZrJKCGQb&s%U``N-QP&% z-cqfjw|YfGKFD+pAa`Dh%J{$?Snh_btU3L3U{EJ<`Ra9F?8{u5EL?$yV%HvQPD4xNHkoH44GYk-*t{4wH#c37o|KiA%BzhPxgIQSPw_{rKV6;7$yVmU zE4#q9i_M8Kc$GPROaFusoda5~H*q>l`p}Pl^~7ydblDVvx5bSRlzQQ3_%`W0LB+vU zdr`D1<0XeaO z7J>5q#;wW!nfH7RvQFB+g^!BpDq^hldDZA!D=KSn^5Q7pL^Nb7OW9KQ9_s$UB^$Rt zxlqCXl+Sp(5sHuFr;bose~i{JPw2g7%9nn@k-om5!B8i^Jpx<1SKdD%B`OgXbjoh3 z_sQ2=Qvs1`t=GjatsU##o%STC-q9sNn6V`0x!i?8Z)KZKG1V7|*!upw?~yHKPN@}# zjmN%je$x8w7rUgK`?m!|x!4pJO~B3-<#9DZb}1g+z1z=9PfD|Ewz^~F2orv;T|VTh z4lC$zg;3a|r(w}UVMlJr^eh{@$l>Ao<1K-P7wqQYo>N9#9zB;p}B?)Wm)BRE4`1_j3yAX`#mEbqLk*e|g0&IwM8TH5(1HvN#SjPm_Jb z8mp?1_xTJt6f8HX5g&DxK;t4<{F4dAD&etu%`UZxzAJwfxk-RqE< z&&MvXHX)-@+TN;ISx~?WuWiy=WutVc;-7$i#xn4WoV_cJsNfr-05;OY^^TmX&%K$ z`+(3dDX0~8Tg>85jpR5#zWt6P?!P?p=P~}I(<4Q_k;6-t>a1~JfV4%Yd)T?@o{3q5 zFVNoi3IrZiHMF)uk}F32>d%9^job;To<_ZAKPB0wG*Ty|Nq!CGZ*-4rPxksmYiqt- z{40lNY0#9J#mb8^#oHd(J){-m43XWnDsida*W(BC_l8^N1b^u3>W~Y4tAVL@zjlj+ zD%5D zUf;Aj*5JC*h4x*^D*PxRN_%oZ;fc^BAx>S7Ejw{5a_={W=-_MONN3Y;)%rWJH(d)q zmwS<1$xmG}wAB8oY9DS}SUg+J%T2NWed8?n;XqtKZi`LwFu1uoH8HQa2worzYea~s zfcFQt_b3Mk*HNbk=Q26+^>kMmHq=te-5Ql5!ov1@Oax^U8JNjKx zVS3&JilRx|=NHzO21H-&-9dcx@=KJ%(i7%kJDfxLj;obAO?G>4^f6zt9vx|hJ>*q` zV3Z1?ImBYGdx$2<^K5_ID!=nP@;tRm{z@?F)cVa=Gd#~bmah#SmgCatdY)VnB4x6C zG>+5tfuh~+{Hv$f)*3U@qhqZqdFwl*cz7K$IE(zB#HB&S;?lYN4qRd#S9a@52Hq6? zc-!_~QpMxe{pR}z?BB0jUM(&=xpzsUxV^&yvRiCEi3TsXXTSK-KTZ+^2{H%cR+#Ko zyReC(rt8(;rt-O-Y{`DR6t}iq#H2A~m8a(0VuQ2gZQetQ+Y;&bvmbZQ5$Q z)iq)34avjO8CKWq)6y;EuaRGuc-7V1>9%=%UoXx-?nm@nPKzI=@9dI3m>j;Gfc_?G zQK@z~)^O56|G5qN{VzRKvDi4bpZ>;W;nBtU-M3qvA|Fg3I#udF^BRW{hZkUU(PRH?o? zv8T?$_0GcmR#yV03ibw5&ei5`=<17^(yU`BaVYIGXglQCf97)htFH+nUK44)9hX9` z7^@YWyRz2Dl;N<^(Z-`pRkD?U3NZx@jtD$ zwMEeE430`4Ka;;+J?mVw9Ed>DiC+myZ>D7`3&LE}g!WV(rO1DO7nby!GC8)9tr+Vuz(j!rb{T zHan}mR;9aeKNEDMm{T%B#D0DMH2P8Pz^^5WjD3s+)Uw!oZ(hK{5=zWahiX^pUc#|S z46u_Iz`WSZ4UL`a74(l8@o`9j6e=@2zN&uRU;yTA1Y_#`p;I&=SB(gZ(6X?z8p_`6 zr-au@iQV{kGe0F>-&)fmglx&*@ajm>y(X#WS&ARR4CN!G%wp2koKT|DZXS9@;Jtb^ znUWiSB_;=TY`nxrSkf`uc70&N=EHa8kp?nV4RV&$F>)xAcGdED%zK3X|qe_114 zyP?SLu8h!X%n3R-V}?5pKx z>%=duH`RKMm6y0XYGhYMk1VgdvSjC>pXK$TMm1j@I{H)PWn6`hd`Gx|Ez#1ym*=#mVDk}$!wS4?$;So979eS{ zNf>(G9bDsBHD4`ix$f9k#FW;#F1fS&OwaE+GCFlx+Nfeh$WqtXh_*KIf{fZor;~kk z4`nR8Cs);J$q?_SJMrb7dnmExM2L%usGVeqczkd1&^LjK1o!=I_jJl-JP++HqIf;e z3lO?1fnWAc?p@n$Fk*Bh{Y5|%Sog1O&Y9DV-;sdvzkqO~nS{q`K!KT@p znt$DCj%~M;thS3RNs>zcL{7XQ^@gGulCGRt{=D5WR{#e}M8_o&0w zUTLLEGSrvocD7$I*Ig~y_9&OK>B@5s&7(JI{5`JMLsM@^4MsyQo5U2goAdRBM0{Ii z&*ATYd%%m-_dWM1x%W~;LphgNs;uoC>im$bVY;!MDU5kkh;I_*7Sdm@{xv@DvCyy$ z?jc6-(LI5pUF?-=KT+G+*n|R_mb#tUmUONEu3zz&Yn(g3{aSKni$%)6@&R1`eczzt z%%HMr6+jihE@#U?3i$XBsscQn>2R3>s37=Vb)ZiJALQXG1a)-;QqRlXoeCESfY1B3 z5O~v%1O)@Gp!PupLWWT3eh|`+20q?1cl$wjEQECT3ZgB5hBWY^Gng<3fK4RKo6dB-f)W}9Rx07Zofl0c;Q$^G1wr8g45CM6xYE7+ znSOK#&8px4Xu!0IGn4Mcs&!CCq2L1y{{M`?Qe)@eJ7Ms62)W(a7x42}jtC?r(1ppW z9)W8}fB>dTNv7q!)60$N2?RV{BmxMZ`F=S&J=JEo!bKG%3<<74@!v}I^6+HBe8B|6 zPn0m=EiPO$;lTikn5KFW{LUv8=mwOxc)4oRJbb7S3eu? zn86Yea1Rp!GX*ySurzor9xy(Q1HgiPSz~Ykzz|hf4NoModJ@P82wQJ@H@-ODHqM!9B~;;GJ;r z4-_mSm~5CexCf1;7kInrhQR;U*&kHX13=(33Jl;FEW^W80m^60U`AatJy02Vi!d!E z76u#<4YSQ6AGU)(_+coRCzde*gMxqm!2%P7LLpesej^|eNYG4!4Pn{_U^|%GSh5Co z0o%l^#0Er0VRVGVmiuTSk4=cC_v{d051r`3Sn?u!TjFF z7sCABh6Y4C4d(~3-XsDonH~iJ1DYP~fk3v$dKv-&KRZ2wBPe)n1ONEzPG`I+T(oBZOmceT zzt87H4fJ$vpEkfT6CwW;C?Z{flwrh3ZOjZ92&mJJ{cj!P4A?9ZX5|fk_noE4zmv1> zp?@b~_GUhF==ueM;03ld@^XW72w}oDWEX2D3q)m0;vnbfr!2dgmHf#Kc__(ii$L1r7U&8J5ofRRcXNkaoL#*^i2jX1ZkAkv=~QMKiK84#uTp*a9#O*{d1->Sw|S$J}?A?jEugi0pkAvbjuYg literal 0 HcmV?d00001 diff --git a/src/figures/count-type.pdf b/src/figures/count-type.pdf new file mode 100644 index 0000000000000000000000000000000000000000..011358a50df4b0bbc5038fc884d8e330fa2d9922 GIT binary patch literal 9858 zcmb_C2{=@5_ld}4i3zQ`V@cN8H(OcD8l$W!gTWL-Gs92X5aMSk`;r#YVrdbjP?Q#; zD3ydZiX>WuQu*FHDBJ&gJm2#l&-=Xhp8LLMf6qDYxr$bX#_CuN0z$E%70NF~U?B|T z>$(l0tqq~A=$;G?gaZ&7gxuk7mE(0Qr zZZh^|aUuNZwH2MqWw2Qg5xzyBt=PV9HViK01n3wV1N@9YE`&Dm0W|f;W`nWW1agMZ zHePghCd(5djc&K!;JS_B#)Zf{!TfEL<<;m)M%`vwB;VcdAq=m2b5 z!CScFN~1A2zW!`CphZ|sf3yfIc7h6FcE)vX%=89Yg3!j^K#hhBH(z(4b#n&Glj{Xx zM@<13;BeUtx(^~SGj@}iZ{ym9*Za<=$uBQWPv5iBiBCcbl9KxtOi6ky8r7QgR6Tj< zTOF%=-Sg)iF6TSH_U!)Js`zYms1)Sgu~Q)Qs~CSI1Q1noHZ7wwgNUHW!{D zWn=B)2$~mi66=S(AN^E#vLOL$Tc*~#QLE6tG(3yX(mF9Q{L+Ck!~^<*Gs+GJQH}<3 z_MRP80s(S?RfX$~+s=wT4l7Hhy?EcD-$yn&ovwMjm#^w#`n5s5hJY4X`!|&R269pH z*_|%V1NB+>sG9FdI^u%Sivr@8XFJHni^oO?DIWTX@L6dpbSUb%y?NZcj{_gGoYjil zUTg|fbS|tBGdZ~a8a_MnNWhM?>(UFINSr(*^V~XrRo^iAMavA&VDtSN?(9Ns*^-|) zuTHmmP1x;C@5^tW{2}Ihy|uD)gYRo0HOnW%;hHw#TTC>$&CQPjDkipsyi`Vy1PSL2e^~hVSr1XNO5JmrUCuG;2PpR!*w7Nvt;pwB|YUMyvWPe!uPi3Zl z98P7$KJi}%)=+&KPFBCEQ5XsQsTLhe-KD8j|wAu`%6?>sQ09myY279xtl5;*ipJCl`P&eoTVJm*!Ff~+|lN; z?)o5yJx7jJUffAqSKll3&F2d(;ibKKpCw79^ZB;4h(*PUWy`dqo4YD~Ui>rc#@Sc+ z%jpJVQs^j7WKhcxRk~P>$HVRyQ)ab{?{puSg`A zV9yjYHxjcGv|Bo-B1Y791{NnqssDDwNK;4?iFTu;Pn|NJM4I8n6!Ul+>>zz-t>F44 zne;h1H!?UbLF_BIE05;XN-eCLfr;6kb1G(%{5o;9qLrBW27Tr?=D)U?JG^m|c+Kyo zh}}Uq#GR_I2uq8sJn=j{ncp|GP|4rLc?-XkzVs6JjutJMXj2dAii}mc$VUo0UKnO+ zS(qLXFK%pk72e7J?fr_L=^WzVU^W{Ik;#)dB*xx=IpiM!98$uq26FRsAN{IOH{9KW zpWhR7(J#jwIUun+O-4ulGywyh-$w?s4^-L%(0d3YZ-{=Y{(E>OAYIhD*7P zrje_=CA)wby~%RWYEk3Ws%s((zj+%OD0AYUbZ@PCuwZ+Nw{)QCk9o2u+E$r~**3SF zvFtmm-P|y^(y@uVat7VQ8D};Qfg=zmd4y5C1$!Q9e%RpAZ1ktR4m+Lt9GZi9Z-wan zas^e#@OS);bCK&lNgDJ-B_mhjcB8v+yGw9dpER4({We@-ZLVTe;ptAVv{Y)fwix_# znYQLgR$kvy>I)4Tk;`yD7L=8-pzcuQISB`@YO4R*#-v`_>!sdKp^Ltm7APG#PUw=j z_vxRc?YsSv8_pMYY`l+hynhzC^xq5KfqIW?6eKQ*Mk}RoP}bk`mgQ?|xFjmR=?`u_ zp6szZh-M;z*}uD>#;a~FsUfkE4t|vx3jgQj zh^pA0rn$QN=9v9<7MwwOaN#p6<>7IYlt;8SVco)rlnqP$teo?-w_NG=@dE=RO|*N9 z=C4(}d_~dKO@1yKJ4B6a9ZDdcShd%aZTC}cL-@LzXJ45t3Q2vvB_OnR*&W6jG5pH% zRNDtRcM?UajYvA$61ZoI3pFuig8t7uo=06ry)Kfc-8W8YY?ADMq#|(7=JLz;p^`rN zKRCk$3w(y3BP|1Vb(_3JMs}tYR5IG75^viJ>R4Yj!|plM?VY8RRlfSzesA4vk%pSNiw9`fJylhQ%#W z8zp8?7+f{ZPGOV7G;sqpK>#IEyE9xDvuSb5+KSVsFO!~q-&dNDZh7bvs-_XSB0Vr& zUjBl|-4;i8$m5lb`R$5RZ|2*ut=9s$ zvX@p%a`ZFwG?1wK?^RAM%&;mbI&qw4?U$>2x~t&WzPDR9tIwb>xRjoiz6jJw4yI$J z6=#SN`9KXve^U4&?O=o zaozYh<)bRQjs;4qeXJ%qDJAH1K(A@EsG5_6#KNfp!sinbQ_}1gh-1T6s_6{Hqd4SW%l2kBmpKF_ z)HIKzb;{XT57EwOxavDcF00Ry_@tAyUDBcO+GncTiFD3&p_SoR1n^mWZhK5{SI@jl zMjkC<3sJ(R@Shw2V+&3=s|b=*2Te*(1*Df7poutmQAeH}$y=^^)+PHi`=>g7k0&pnW2%M!D*1s!rPFvVPSgI62ldl zeDSrfO!?<1wn*2^z|U+eJ;LN-VMcyZ7TRjan5zlZ&3%~ShmbpZBUy0HRZmf+8OYAI zw!@O}la8X%AuUOMl!(DD%PjdJd4An`51cY-(AVvmH?6YK9@<}q41N4OG^#7~z-7g@ zd3|REJl%f2C$Wf<9RmKrwmI!yNwhszZ!?p*pS?&N)dgpfD?G%4l1?l+zED%@#mDRp z_Nm?n-wph}ZT(i^+D1Jb6;g9=#r*r-Hm%=DTG^$gHNSK2wiYz)RqfeCXF8bG3YQ!y z^H?j~YD0aVud`+)LUUlctoYehi8w4}lB_ybS7QaRBDK!pOYJLzKIVE#N1L4*>0keS zK<=Tm5lw}do}i5OPf~QSd7-&G<(Amah_@_vlA?+cI`M+yU<2awo~U<=2HT#b6d4dw zy{LN^;8pULt!OkOW%#KeOOLl!;eUwwaQSTy$QC+54LL4Nmm&6D@x>xH(vi_}BBmCC zBj?x$k8O!wrd##dU{QR6*gN8g{jV<^(epM3mEu{x*WYZ(%oXF8Se}qkF7Iq#s39rA zB|HgWYn^oSMTO`>Mb;IiHl58YgwvH-_$mXzqatb%&O1W-Q!ooQud|9f(sP3T z(%~m34GXIpA7H)VG6WG**|oe(Rw!Eg z;;(%M_ktnaupcYPf&C@b?Lkxd9_q8yB8cEHtg# z{D@UZFhMt0QDRfKUyAF@-4*6=BJflDvqt5R_d2*69!1xvn0%cFVuviR+&SOfsFke1 zA60tjtNuyE2ieDp*#}iy(r8C4)!!~oJ=V2rcibGE+b?2UAKtB%i7~#Ue&*q}WQsTj zY4b37M}B-r5>n8>bDbSw!O7}-LHfj-vDB>eYgK+O{Ix}4IVaE3%EcLcU2~nEYqk?i zL*wS$e7QR2+YiCKpIgW?=xw&u93DTp6jrC1v2Q~nEgXdNar}@_hxU7JY2dYy%L$1_ z#$qo0*tZc;rn?=Wk`qsFmBiMq4S#(;zb?FfeM_}wWbL8oD+%i1yA0Jju(z~th4$rt zmX-ZpP*+nVbO+u1kGSf<<1hxQ{q~aQbg8>^sSf)K{;0fNfi^i+xeCwPqepaabJPXY zcN;eZZ|yjCKJL}`1Zn1Anor}opbO?&c{vxBdvD-uS+&*C^Qxw7y->}-xn~lzvbl@G zui_tYUaxMnH7=G8Ag$lF+1oenm%V92IBT=mVv{Wy1iU!kX2Lj(2P(Q7FV zUfjdT@|>{xJC++PuiN22pr}&9xvq|OH<*jkU4>gDx7t|SWCShwJ^ZEjv)10Y=B#+fPn!YrY^y6Qe##*}XeK6rnr}FmnH^VocV*`e z-1~6O$j9I#ETo%G_{NZ{p;z#JSX_Lh>}n(ZX#pRi{CEfsWYd+Cbm zlTXWDWJh1$m&1n@o6WT`pkt(I{yiZ<(de~Y z$2Z4gjzMa6T9!y1b{@nsl5-F-M0CbsF2J(hsq0 zm*OSk2;u8d;dzI19th}3#+);bC9xL`pF|(zMr?{bgYDs{`)sYZplomGu`l@2ktFN9 zLqkahU9i0W8;M`WnpyB=?fS}JEb(ugi-|7-%{m`QH@5G(U-RYWMwi=%n^bU52u2TPtD0xS-hh#7z+KbUz_=1dsAvQxVvuhgrr;;ey? zf5^`c$WL3lVTXbS*S#wyPWABe_R1p2?af2VNX-@9TUfoeY<2t8fV<6glAN13?A*)7 zHO<=DmEw0d&zE#hU3t9{l5;-z-S(?PVt;*!R@=eSVvnsl*_BZ}^KW0^vkU%JdN;)E z=Jzd)9jPjcZpZ^)Lb~N>B(1E4mp1mW^ZqSrJFMy_)&KLMLGQS3yWWGUUa+lgh=>zxowgZa;K!jGtRlS<|7L+sLk0(AvH5Fsj3D znd7B%_a0@4L}$cQh`wyIXj*WJB2zg7PqVGJa9H9brij*5F;H*y3`+f8s}O?@+>pKc z{_l$WF%NBJZ)}bzPC})Bp(UO{y|vK|O4rCNZEdRCM(9i_R_6p?xm=Dun@}0$5xM^c zGwljrhBlu;)59~?1~Re@k5AgHzR)V5`)>(Lyv^-WNa|%&XB6bRdWo9e{ahoYv`@WK z4zU7M9xqZqwpH7lypysxM3B#xvb?FQ=~J@KhE)%_Qn<(Y#M;HeNFzDz?{TM|AU`+~ z9^oV(-;pTT#$T@W3u8HF4su8BT=!$9NktvEd<*-F1nqwO<~z1-W6E^>0IC1}W1~;! zFnFC9(Bs%fxAnIHtqsug@S?NfCJgA0jP+EESfJei_gJ*G5oklEhX(_0e}LwN69nE+ zpg}vt4Rm%W5ITs#_Jz>CEYO7ca(S&WxIqTwAMKNk zs@sm~&h-NN9qoVt#>d~7PfS{R95=XQM8#3z_L|>%2Gi4v3(EyF3_nrF;ekd$L&%c@ z>@dppEaaWaDliS`-7($tSf1Vt2m_i}^gteifIkAzwGEfyV++&$E5QVnq3!=LHbIW@ zn#c(vVKDz61M$D&!Grux0QMt*RvZOSfk=1~f=a|dWC{ktk%-|VbS0j44yq; za-#!59JARURHGMw!BG@AATiiRgt-Eo!`opu7&q7W3`_?8Z5h=P4+DV=7J<$c%s%V~ zfAGVrU?9(#04DhU4;Gjy3Xc7#zMfc;?d;OQFp1?&?O2G1X0pBNuJ zUm5cW*dHbim@nQvzybTl_<$uRVTiznfLGWDW*AfounFuJAjnP}<32Gy!%6{mNAPC& zdcxq@dh|KG=Ffor0=6nV|84h8tT;_TJO;6a24@DKMBbGJgoU#>fLTJk&J(zzL%^~; zm@5Pl0Po5T0!9W`2(&wd<3(-=B@V8}RQh4FZu0qQw*#6_m_VU?9^>qe~=Uro%|n zZ4O9GTSo%r@>CiiOHJdMLYYW|%ce8E8EoFiVkRsPUyw9M;~>q~7Y-4;m}tWc0{=CP WHSFkYF7L=us6;A4QPF6FG2%bAO2VK3 literal 0 HcmV?d00001