From ed2ba1fd2cc3f94d427c61874c4b5ec6d69e455f Mon Sep 17 00:00:00 2001 From: giosans Date: Thu, 19 Nov 2020 12:36:21 +0100 Subject: [PATCH 1/3] adding files, final ipynbs, and sav models --- model/RF_model1-2_noL2.sav | Bin 0 -> 160080 bytes model/RF_model2-2.sav | Bin 0 -> 23208 bytes training_script/Labels.xlsx | Bin 0 -> 40774 bytes .../LandslideDetection_Model1.ipynb | 885 +++++++++++++ .../LandslideDetection_Model2.ipynb | 1107 +++++++++++++++++ training_script/df4ML.csv | 466 +++++++ 6 files changed, 2458 insertions(+) create mode 100644 model/RF_model1-2_noL2.sav create mode 100644 model/RF_model2-2.sav create mode 100644 training_script/Labels.xlsx create mode 100644 training_script/LandslideDetection_Model1.ipynb create mode 100644 training_script/LandslideDetection_Model2.ipynb create mode 100644 training_script/df4ML.csv diff --git a/model/RF_model1-2_noL2.sav b/model/RF_model1-2_noL2.sav new file mode 100644 index 0000000000000000000000000000000000000000..1f778b94db47fda8ee4efee2da4ffa3086f78105 GIT binary patch literal 160080 zcmdSC2Y6J)`agb*En*=eB6?Al5Mrbmihv5tp(7xMC>R?lfGmQLT|m*xUe`jzc15r4 z+HO=-?AWoMRZ$U9LkDRKC@P}HUasZ;o-^-fGUuGc9pe2y&+mVpea^e@yz|by)8BX6 zN$xpr`s67S%HvZzPnbG=!ub_bCUh=6cUpYH^chWx%cqW?cK%=w88D@M`t(WXPMQ#J z60?rEG`2?~mQ_%4kY!mF<pDnp!%&{QSx(6Q-AXY_S7|XO-jxD3t1RV+Ri3 zqogGhE}SrFVsu97x$*LGGf0F|&%;4Oi0VBh2M}=MI(I_(jG2@}v8E$Ex44&2rPF7W z&zKO)8R_MU>(AvcojPqi`8;@J$)PSc2{!5c%9)hPi%8^g@d=c9v1WBqGz)r?;vXU- z^767&iWzG@vSeTKT}gsWi_eH1TGE6t%7*xaaU{q1SPPk<<0?zbr&LDEV~5qn;^sst z7klXi6XI^U#9Df3DeT;}Yv-<=E2mAL(Is~H%nHwOYF+tGj~y|*tCy9k$V)5BQq?z6;Ca=erqA32t*$l(Jxd zVsrDFi#wJ(l7z^P?mxUq^nl@eN2z$DbtM>WIy@_S@W^OghDQ$>8Pzhz4Q;9_-_lsy z;n`laQ%k4KoKZP*#`Mxy9#t5(I&!@(jkOy`LQk1g(Ru33^D8eZt(-KD+EbH}F48X^ zFTdz?N^zyzZ1Sn5ADxI56v*m4v%(7^cFZ`BvB}i&<*xT8vGyf|{>S053&|&@JbY z#j#Tov7!RX)_rAZQP)#CZraSLGh(BLxA9_?y-~3j@TrN|X$ZK@oY-g%xUghT5^v0L zJz`^Il20#=m7xC2j-4^GzzclJgmY(uSKx84^OP=Ud5xF*$=KOmYo8IN zo+>(x{Ga1B0Q7^gv0jHc)$1u$J1#9bjHHlV-GuR_0czQdSa~8=Q4l>dI$*d}6&n{l zi~eL+#l}a^raw7Vu?f+0qTPnKtcsl*9ZP>ARk4ZDQX&;p#iG$Naw)8eO`18p*YG`t z=gf$mSK;NR+qB%r?H}F89f9~sHF@$*v1@Jj$G@!JBsRj;g~{jGWM@a@97<(|Xl zL>7vKN99-gJR5Sk{g?Y7z4W(s{(^TzvSZ1UPd{;mh3g|wl?^^j*E+4esNyfiydGeBb#bD`8 zzEfu!%h|=pcdCu{=qkAGqt!!uIx)MM$bSH}1_ILn_e?d{e~h%nUh(?0Lk_nmb+*SD#p{t5lL^p1Q7HtmYi>JI_P(EcQSvr$F-C{~2cD~XrXpGIeGB!1=id9dsJ(0`GB(%)c1%nsnpXMqkJkb>}@<~IKU zWHdK`A18799Cl|u`z-hawB*C`1nKsfet)S`fipY-xFw%L;0*Huxb#)`1|8|lVgCpx z!gzaz;6(m`4tL}q=$1XRBHA)a_NHegOiRQn4XuRj`G*zlzLgM5#Nw!)WMEAXS4~Jt zRVmstYDWiX%KeP0*v#VC1yNGvqbEh7r(c+e%|e)@r(e{do_=w0?C*)#Y*$a;Cpv0) zr>IoN6N%VAz~5<3>=NcL@oA5rzFqDRttkh15y zZgW~5eBshQ{a1_s`1q#T2p|5n5iZ?l>Wd<4#7BF-linh_>wNZUN;8FjT{D=v{9Z?T zUltf~?2J7RqCq+&etbqgcYLcU*%IinTG{BiF@kA5Vav&vJ|JG)f5kyJFI^>CBVrdO zhuY|Aq4{ZiWjPmq;v`GvAJBW#ivlCOWbbdIXK$j1C;zA0z4C<`IgoFXl(|PnaC$zI zTgH3=pC&&!J0^2Isc`PoSUYWp7F}?&4H1>y$#J7nztrT(Yl{M z6H?C20Zlk!EToHmmX&<=gB%>YOK;s>(La;-un7`k^XGWuM3C1 z6ROv!=g>5@`fL991!e81k(Pw0HCR5^P7%WTEM6*;X65 zZJYB^uYYdu_0Kl~8dzqH7Mh~JzL?iDEuTrGT&0;tSU~h|gx2QX{ad;ecR+_XM7_1Xw&Of3yjB- zKFH2vkL?(0_36<&pWfs|dfxHeqW(_>+QW&4^_qGxO%Tg6Z4bT~1`4589L?brFsv(g ztNOzSYem)4gHFA5!xo{{Bl6ifqn!0yPMIw(7DKn($;rIGMtR9_hT0uCz>W;HbfiwZ zt5(30!FVpcnain-Z^YWzdYxlOrMZ+$#4c63pEQ>)3+trG$+jnFvRuM+l<{E<2T5oR zUxc!OCKVRzshKb1Fp`XT6WWq-+W z?7y>wWxzSzG_HX|LYr~q3vi?-XePl-0bPa0;lLcq58y%nxlCtsFEyI+VE78R0uTG= zblTw0mF}c>Ti%l^VG`+re8F@92VHVoRz&hEa~pUtJ;8Ds%6yO?`3oH31LpY6y~`7^ zD-6xOK6B?4?7q1-ClRYc^CENa%5c+yWc8VQbE{%k700d)n0wbGV%H)}GWV`)(A@iH zaqRj;jKp@=BxxOn&Al5Eu^Yipt1thm*W8P+T-q>_Z2jVTaZ~N2htKY?MSP~@razjw z2XkZ3I(lup(VLxJ7rwpW^XoQTZrbfa4O7FN9Qm?OQX18S9d_pGIxg33|m9=dxieMRHf{va?hsi_sj zXWp$N-=y5;!M_r5A6J_bJVBCPhi-W(T=iVj>0_A(vkXLbXqj;F>`3`FRu%~ znsw9BG_Be>wF~<{sLKF6Y9E*uTR4-pKrC2MLw> z%;71VeNlat{}3O-1K*Q+Hn-{dXdEJE|wCqj!X>CQImc zWueuFJF8-M702!lsH6W$#HtY{siXHasE*!S9J?WQZAq-QpFoFm$wIO3eCTf~=2Zu+CCqfie3iCSp2{#MLe_`*xSMIICv>U`A` zlsa0EdYGF2^23hZXaC2qd;KagMdwS6vmqC{LoL44b+bMYMbhjSPzxk`_l(^eqVW&g zg@$~=*+}!@;%r3hLfYqm;TY;Y(n-{G{!^<2y5aqGK7&~s>3vS!~WV13_DW&UjooU;!pdANGU7U7@0?y1yKxNCA& z9vfXPyT{}ffz=clylFl2?e8GgT;ueioyqtz?=!;wBu#!|&CDmm_wA1(r-)j8$YT#$ zxbwO+|6HVh`EJ3eUN4C=5P%C)<#r3kq26olJvs5o-<+Z6m$o^&%NwGP&X+97m@k+e z)aosT(AI8|o{}L9M;#yfpiH5&7WzyT1DEKcYbAOP-Q3eee#oQ{qFFI*NTRT7DK5{_|sJ zt~V>}1Xl4f&kAF;Lo;hAO7qnYO%CEK2K<%wow0IZkA}D?{K=vpcf8DHL5I4Y8}J7lbns)g6zPY1g!vh!%KSL3 zR!N^or^Ps{`(*Y>I@Dm`i02fhOJ9~XlyT6JPT&Y1{)739*=6_xA0SpAfFm5hO!UG2 z+2cnNu}2Nn^~AsP%XVK~e=HGu9MzlD^(Vqr8LJy{%kDxj`EorpbyFiBm1 zwn26Mx#HOKiP$1nUEhz?^>>x(;pty~v$r}$&+oW$(9+G~ zb0s(Z(bV;N)XT!*+nyG4+icr7`itfM*@)EXN?pgW4M?F@E`DUOv&7v!-72UK^~%^C zLp;BF5(&*7Yw0We1~*Cexm+MKA|=XwGGF&@XLvxIki_zzx1J(R|d@URH*|_5GH>=I0=+~vUu68^2pU+UM7uDBy+p3NaY3+-Anw#fZeJ4KiRS~Ux zh|k=t@XKj_d;#f~*)Rg;$jgb?D@r$#=E$pIosEved3=!y3Dur?m>GG}-GcfXVcfzK zpa<1i;NS-vaM0Nus}FUv-C&UM)X~|!T)IcfBvhMS3M5X)n=J1^JZCU2T`iR^&>)!7Ho5gu?EdfgjzHgD*7l%yfPY{p^kfDU{p z(iGcquj3XTQL-?QrhuH>yz(I#QU@-qi_{|w75lb1GGiUU?cgF6UGp{9LucLX8 zIrB!iX+YBY%$dbiu{VojZw1Vmw-d1?2$Rg2cN#QjmKMj}O~jVr>;uf1_Y$%9!B6JQ z2lbjWnC;WLi^$UNZxBOWEoI0SkydikAI+SBx~X@+pZ=#tY;)OOTO-PJK5M)(XZB%t zy*u3b{Z-CC&w4oPq+wh9!%lKYX!Swks~xg-y;Ih8bYc64o(>HE=Cd|PhZHOGqB>@? zvV7^wR-0j99%}UJ*)4t+?h^i?`R|KnKE57m^#SIE##eCT*q6l>b9OE}tm#{US-0c< z?Ce9~S-I~ym~GX{m0~tuJl4x~cV-ne`Q4Nn597!;nLUj+D-V(Zs8h#UeVI4qmsQTA zeP(x<_`qWS-elX{ED7cd%pa^ipnj7W>3(h3J3mc(b9%vLuZrF*mj{w(8RttoozE^- zXCGi*X!2BcId+Grz32TQ$$MA&PmL%0tIaS_&os4S;q*&CQ_~5W{1kKMJ@*h#lY^Yh z)gnKidHqCw%lMC1r*d;yAg$aNmbJK7?PX6gU4lt!^#Q8^8hPIR$A0DHeB1jK>%v9i zT#aC*$0>6Ls|lL9v##CWzZUL^rQ2Jt2~3xmnny#j7R3HEB<`xV#C~mIm*d&!MdW;mO5w;njAzj zUrp88Gx23MpD<2q^^f?nVb0VfV#}3oB+Z!>VVx~K$tEUROdTg7^`nH*^xjwrEv#O2 zXS^3fsHr^|x9|k$P=~Q9V=+C5!ykfCIQxe?Aj~bu0rx!VKLxWzg~J|r^+eIxnZ_OY zkLgz50FG4=(3wvG(BW{rk4LaOm?toq^e4D9OCSt1$&6y`gZE3ap=FI9u zYz>+RnKNs{O#_nFXU?pvimfk>eHbujHY8#j5hj^4n;JA{HW$aXBw}fpGl%i&%+^F~ z8~6{K6Wd;|In#{g(z@654IOV&>hNYIH~rDf8FWipH#4vI!T%Ji`tA4W&Z!^zH`UM) zA#^JkZZtJJvTy$t;-lA+-5wwGVc;m+u#h=}cuATCJxAX?PpSn?2VJzq0WQNFha**AGam@Z^ z)zQ6K(8Bb!lW(YAh3N>Uo~brdK@CAUl84&IPD(q?2UbsA+--}0a}yl_gBk&|Q7gZN zKd;-Njxb_1MMl`$IDMKN#F}}S;{;idN8*{ySn&Dd%L{F$($Z&N)az$w+31yhUfA`T zI_l_!lPoe!-{!z(IP=+ds7+Gtla)Dx=?kr%*>Aq^sHi!r=Bo!@xK~U>LR}acAKKfm zwf9z?<~^-0fAQyw`RpnB1sScW85Ew~H&y$}_4K7Gpx%6xh<&X3N~zxLsHYE~Y)keE zhP)@5)PK)C*`M7poMAW$;+}8q#dNj#1Ek|*c*#-;;Y{sV{$;w_YmDI+!z+fxAdY|l zLC@oG;m&FZohgwnP)jiU!yo5EY8?9mJrcl!!#30c_D|(u@#7o5KS{(sH5|T^*F1aX z?hoIeC1N{K{4{)jUQf|OuzL1F@2ZM@Q5^d+FnoWNh}9xY8os}7aQObFIQDHK_8s;@ z<7nRZiP#U|Z!;(MW4*(7D;7&@&I__8EEhX&+-KJp&utM~Ahrv&;Ty9dTKAvYzHW=S z;O3H5w;a4yRQdSMQ^Pl!zt(Ic-@L!cnNl`#@mq&%5d(dEXBu{Mb$6yo_C9KJ1%^j0 zeKoh<^}Tbzc?Gv^JY<#VqQ_^SYNH#{x?%Vzth(YC$BGsG>$d(624;H(8Oy23LE)M& zE}`3%!VFTgk(dqB%Aw_e`AO%zxeqMfW(BNUtDhRaVNGg$scZVD9WVUkhQQ*WxfQO3 z=LQuTzES=}t3K^t&k5W>0C~Ll4Q5|pZTjQOR+}rJo@i>~ZD)4f?BHk@)Fm08`Eb+N z@jodW<4Iy=+spZte(0MB7}@BxP$ z;0J`-_&!7|j_>R7WqW+`&cF_GqA9+gM`_|wG9Eouc-w} z`Jz7|l~o&Zej0w{cf$JikD}3)cZ!ZW*KX{WZLjlLnfKW?q?$qHYQo{|Qx|U0fb4Bj z^|UqzhG_E{3xB?tAIs6|14-0esjT&=kcF-8c~kW5x7W_Wy;u4#>7so~P}MNQrPY_p z(HpW-1@7t6OBRY=b?K)1X?~hrD_07^JbgX%_~?`|hBOSNTKX48+q@^cI%{2EgGVpp z`iXLu(RK`}tXjF(tiN-onkm-YiPdz!Y;XbA3e7la`4;K7-?u7#TDzq9GS{=edR)+7 zKWmi|;8v64eI|9y2QcmB7NZ9Xh_J@l~fj zB-6-yo(RmK+s5q{{eleVICXho9?Plcr@N2%{}ofZapUHnULIK3sl#HYdPD2+3wF)( zpQo_K8s}#}&NmOx2Bc#c$9P&-e#vj|d^qJ`KYpFN%V63MHvZgz)_+iZ5jJt+2T*w@ z;s??jYF-D=(1{;JPW331Q*2jU%PO}$V6l!(wyTGyirKxTgvn8i2Xt?;kuCR8bm-{t z?@`^CE&qWI-9H!}aL^@}W%1NEookjZ>`z_80Y3O=sOVjpkJFn1f5Ojotl|HxwhkwpzWfSGuk^=wm z2iO2Tb&j8p8WcDr%w-(m24RHhep@Ww)T`z>UNtxRpi@oDHoJd!U;JP%nr2=!_^ea> z5JKx|Nisd|kQOq{niEG={7`xq$6L7EzRTO=hmlhv-jd#Evt*hb?)q!UG&_Qb#qqy+ ze62h_dB0yb8UIkX|x zyEnV?i0y~}YtI+`vrN?$q16Pf%e2$wpE$MiUhQ-6tVcu%veJbS^Vum%pZ=)T1gI)m zb=0E!hVKxOw-a0Q`ra8hvS+@huedHe`d6;@HpBGP;!AFfeEyebGlS_f9YVG8Avw)w zLH+UNsLcRJak};Ta@DX;#5W}~s$Ltq!M}=BcAhfLU}|Y5mc9QiUppf&zOG=uXSRqj zdVbQ;Nz?S9{z~?)YBd3>td@?s`@gVWq<=l?j~%H^VuT(a9R-2uctkjT_675{i(S1d zpGfZcj_9HDB~MeP8B}$xURTb!`y)|%YQfUC#=kDQ>3p9eLt!PK>Gh)^V z=d+PJpAKAPShu$ss|i|u)^>dL6Q`!>H8)-Q;3J~59-n18RS}+z#%c#v54HSEKhf(W z$NFsj(w82+D|7*(Y5Bnf@WiFF3@uph!+i34NY2h7E1a6WANXcuujd0dUYH++)AEY~ z&AewACZwOw)Rg#Nsd$;E4se!1YnPP1=ApgKTKUZza?&TF`WrEJ_2fr)`=UmycKQ1k z^UXNTeC69Gw3?uWThss7CC=Q$j~(JyzTj^Umifh=T7T@u{AZ?F`o#X*M9z2O#o1px z>~BX&({^N89rW}WOx4miyMznxh3Ll=nXZYtyJxE$tkRmq$b&3{Ps8rv0H^~ z1KrQYve}9sU(vamYU$pIs#R>FQC`sz*0M>s75=uB63l{#PgT%}q=_0opM$~%63Q*97wuk%sML-_TW4nMtg zqN|d-*R?#OW(6ht(2#1a#h1D+?|M--Dr?Hd;`{ykh^gh8svuCoWPF)72K{e0Uev1N zPX};*Y2}yGtIsy4*Dd`XD*SqLV1tkO{#BH-4BmXU7Ud-Q!kh({D=hryNp?9CO z;D^9%CcANLurH_I1NIq8wT7y!kqbZWxk)tk6F3M*t4HMYf4`x~Uk)ups~*&k;7NWq zV6%fytHHF8#Qw(h8tqf^Wma_&IZPpm_fQ*k^4WuC;-u$Htr4}>$rqe()H?t1I5OeT zt{}gb-}6q`<5y?n4V}(>e$gBL+dd3FIto?SpP$XuMxAynruN}v`zF=!`W1i`%M{xBwvuTTL^w;ZFSoP>m`IU$tM{lTk zyz0?|oWcrada~^W7%7*K6d@0{`b(G|&p2<8S9qaxPY!2#XNE%BsGM-!wbki{=C`8fBWD zNNBhvL2#-$p;eFG#8DORL+|2vUzgi&nhA1B#BF+`&5~)>&-K@kY1W^J#qj|i-$0LV z|Ka=6y_84us>dLYGT5U?xsRR`A3~_9X_oxp>*ea6?;R>_^heu}231t+igLd1n--tW zdghlaOIM4Ve0=9C(=3PGHPt@dZOJzxdUd(8PxcF9w$5iqm1(wjn6KuJU27beN`Ke+ ztf+C9KT_wTJ(B3+>)CJ@Ip@0vh4spHt0wkY8rT3gN||O*H7URGc(aQ&r*tn~`rW;O z8*7IB*%8RpvgdaQT(IUJvNL}M29awj4mp``h|%OHKJ%d-Dz1!wU})6?`AhVLpUnHr z@%+(!>;9qF{LBXGg^aJ2TJ?bHo+SzHJ7;a%RchmoKVQsEL9M=1kfy6h|EtgHSZYHW zRw1|qmMxoE8@_Q_eQOf#&$X!XJ~2|A`8+ImFZYyLAEc1dVM znigzM|3f~N_1a3Si)$s_Ts73nhgicK(zNv14^H^R`KxC{{PCHWgVv9eoXtZwx@h^5 z?s(THVqU8~$G`DM;B!i(ftZ>EzSToo^@wl;Z5V3u6wX@rfyk{Kclb?BRt7#}XFkQz z*nH92B}tYW+K{I8BkA8aFLsJXUUkoDN7n?ti(>v&T7P@!61vevi?86uUux9&uGM#v zGjsj?t5bej`A~e#VY&>ZejpJ)iQZ6yj+U!B!^o)~g^NuWtHP#GNHLx$Ar7fn!1LH0 zctqmC!w^_?!K#oojQODQ7Bqlcfd~EvvVV|s8HY*>2)Y%Z!yT$R=nBFE^TA!k%kJGk zXa5QhxHB0W%W%aC&3#A;%d0NBhg^W*hw84}nICk>spud`fA;8r|5Jf8%njgH-~qiS z`-3Ueg>iU?sRcU94S1b=zEz>&UNs%zRZ}C=#!vR58R=Ztk568S&tI^L zpW#u?^e9s9c5~uq5n8Y50aaP+nu?khq}1K`pCD;2)JzX_by;=v^xvXCh_V}Fj}~rx zM$D{pC%%cw^gx%ab$Q+=u&}^AUFVC`tqNhN)#58Ww8Ku3y7J*W9;uq^zw9kF-gqdh z(Bn&uGvr$)wEUtFBFglDi2!+tIB)OQR*2g_{pq6agI5PuO){%!f3>SeImu+2&oXNH zOsv^z!xc;ft^BHcZ~Wa^-2BB+J{^P$^=Gk+I(F=cENVj^xRDr3ZTy!#^PWH=yd5deyMZtA<9Ze)i1ocmK;)@p3Pk3NIR^>W?Ed zT+<RDG>Wv+o}DfHPuz)2i>5 ztPC749T!sdv+BZ4p0@EnV#O8vH%&F&6!=kFF3`>G74--5U?pT`RwIN&lVB zLU(cE$0z(}u&h#JIkkFAG1sc&*HCRWRq?h5H&%<<^=I7p!8r^3XN_o56sEyZEWcKt z?7V`P1vWO0)YC^B8)1sT6xGrXpDysFriC5@#zU5BMGkx#<*MJp)4QGAq_Uzwx_C>nYo_+BW^;t2DTawh( zxV`)PPt(=%pownTomkG!47L6&d-2@u;@2Bi&VKCfO@S$v%&TXZI@H3W7|h2bf4|$( zE@b(-Fx2|9XndH{=$ivMxWM>lK6T-jGu!UQ0rp_1)w5*z68f&ouT5W04}4cZPw~7Z zZM!@BKaQc6zI5+`XZ~XP!e<#x$IW2+O!=Ts$>f}XRlZ7Umx*|c-Y`RYO4B}0PGN&5 zbOl{s+Y3;cx@B_`~sfkr8HodJN-VfnP z7z$s>!T#F&{o~A*g(oNn+yRk3%a$%d6Z#}}SK&x+YC~s#rjKQabV+Y@8zMnRIA^ne z#0Qfec#t1-cBg?AJ|v6)XBhCW%7N3V&ZMFIu)(l5^XD>zJix8M6QrNWe9am5VhDd- z7`ON-4A9{Z`G|T09CYv_ouDIsfx{ml=zTa|_=9^855@<7Coq3tgXMIuna=QiTw-E7yZ>DcM#OxS>~ zn|+-V+F+^Y%NMmvo%a{D*zdgd8wE@s$!PusTYr9035Kcb!Y2d^UIa>xUV3zMf9^ZCoYR$Vu6Fo&nfnc8{l$BupW%J#p1{fszCk59W+ z0vmue6Qk_2SGy87OO^k0*eM_1B>MW&SCUcA zzdD6+q8=aZ%fZxIF1u^(!Q1e-qI_`4pnRJ#-6gu+++Z-s`{baA11* zRdDmOVgCLs*N$-hwqdA^M>REjY-7_o9WW71r!Xu_3y)$jpL*2F)#Gc+@}Zy8>*2)P zH#?7?`pert?6rKicfoM5jh542euXfFt|0jm@j3K{TEeTGRpb;_fP$->bTYydEIC3# zr5YCoaLT(t%Y?g|j~epo+qDfQk*dayT5| zijn_-Uc&wmp5@2Y#zpWS$8@ZUa=dE8p$dl?I37i3XX;?&KgeM-4t_wW*a3aS!Ujyx z3z%Pq>h2Vl|3D8y_yYtT`31ZodO+2`(yNAZy=rKr>dzT`%h9{9>R;tWbF~+ZQuVJP zG+fgmczvq=wZu^szmDF;@qfD9epUZ^a!SPK(Hm`wRQ(%Ve+{YnHxjWp{x6U3CXY|v zAO}_dW{+}O&RMRLsixH@@xM=3U0QS$wY2Mt`(bPJdVCd8*m<&Q~J& z_^t>3Gw8~|wG-wW+s@GAvnxWYoSK}~wTb0UN&g>OZ`uDzb-Ax(?~_rrK{PORB%b-} zpbe=+Pz@2DmOo{8ZGXaf?yEKz{(Jap@pnY*LfWti6%ey)TKa0PoR$`zray3le-@iI zVqwT@!r^H{YFUS!JDi~(jM+Tli&X&=!F&k!4{?@K^)WGf3~jUWRg7 zmVZd?s5UerJT1Q$wfnx#v_QR*(PmzCgm_v#BB#u&Rt?o_QKh)`nqE;dpGd4@e;Ml3DsR=pV#c1 zpPgR++)lr@h0i3RQ_804)9Nh+U90N(5gd_LPN|udKRds^{=hqb|L#q3f+mRjofp&i zwEEzNpjJ6^IXo>tD>qL3M(nly#Rslj{+j=?d;9dzDyLRXHIEJWK+OH4w(}D`9MMyk z(=wM6>6h#Sm8#!{!_)eSbk6e&#gb=-7MS}#>fcUIVFjrAJlhMPtU|)n1PQ63c<$7&J*Zxo?S|@EH>=BD*gw;0!1LTyIGF7& zV1K|dYwh`VUjaH)cR;9~kOMeWWrWj%!$Ei*fwPAQaE3uS5I*>sjg}YXKTb!g%#SCr zN|Ptu6|TaQ>{f1o9*l?OQT#1~{y7|&R!p~sNPkLB;OyPva#3{TLr}gT9+VH^4Yhq| zm+qk2mWba;Z^O^`R1YfJbN5yKyS!-b_M%a${(lG!*K`P4pQ>L?998jq=v^GY*X8!B z`uCAjB0itqXj7!>-|zZsNY#IUh{f>-J-!7VpS(7q3vXzA$fG>$QKZ~m=ENT%v|d#| zpJgXHo|;?seOTb8s%>y}p{D9%gPk^XB<+W;7O#$e^T9ip1-~2}KD(p^TYF5`uhquH zHX6aANdbh9Ap?+vdFcDx4GuQa`Bf?No7A*)Q_SWYa+>IJ(rH5s^>7DH-sZhLb(Qm7 z?Y>Qle%|8Wm_d^cQ1zj@Yrz&?cJU_lJp%ZXbaRzY8#0O2RD}-D4kCY{>Z4rTKu=HH z?3C^M{^6rO+@NOFrJToyRQ)VTaNqX%!=83(hm8F8*^Ac%u1zp6KP@~8(tKkE%1Mf2 zzS`lBFI#PBY%K$_w0y}q_w=+#UjENR*W`Z?*q~N-b_uFdUA?xFcDpx3eEoe_{&DHr z&=;p+8erC2E8oe>XT(powS_N;hS6v-X1N`;l|1OM#oQq4Qg zJAe7OzNWHLl;-89$?uA4tU|*S_tHoE8DJV*y)wh57&V=jl4qO&(zDgP4a6OP58oD+?OGm258B5ho zhUi}GsxZ)QzgrTlhvhEk6qf|41gGck}GV|IuoWdHPhRz ziLW5Ep;6N(s=wa(qlk2=D(b!Xc2OoXM84A%#{J;wI$v42jrM^JiduY;&$EA4{e-`N z`M*Dt7u0*AlcV{^TpE9r>Q^HE7`>r3caayw4_1}1aVs~#A7Pxm!vt0kbc6#FFo=U65cKRo_`EukI-A`K8J@%trru!i zF+@ICj6)8KAB8g=?hMriL72*HVk&RIK?fnvmj4hwaL56Fz!hB)Bof`zssI;lM=3RDen+(}OtT0R+8({j+;@1#k(e!CJmY*f?Vi|fs?nwJ?>6Bkq0_IFP2pMFQcc^%KLCQ z7)rGGdVTuA`oDaZMw5eLGT*2{<)=Nh0z+C8cGcvZ_gIe=qI%@X+nP?iRZP{mtZMVs z%iwATOlfS8)6!ABwdV@;N#kaEd{*XT`nWj_kzb$kWOx{qsrRtEmv=pQ)VEU-0aexk`t6A;amaOzAuh zSd+7CN7pAs@tpZ3`&ZV8iHO*PsVk)V?&x& z?#a*3{M5mmqf=7VT7eGhcPld>W{%p0Y-~?|pA;tw8&f z^yBOZdu+o{YuB@K_uR^IHvT3^E!`ADX4B}enyCJMBC|=1GvIzX&8MWadQ0ic#j06~ z`iDgPHF`rW;Z?KO$tkP=1x=N*b8T53xeTGIS`xQGXVp3aJe&PPB?TXFEATMAYy$Hk z{0iXg|9IdGgDP=%(AhuYWz{x0P}1ohCg}kt6UWC~1cG#?@L8z{_*vCfcrbkt8BUO% zEamW7K0357BY?aGj7wLyQ)qlgQhKs#wXtY7@zYjERvHPn2n_e_;dC@3U|7}9UH5~~d<1BR9_!8o% zioZke;`maR+pp@sOHPUSGJ2y;k*fcm>#reI|9v7B$3O7+YCJx97N#|?nl1MzD?Eyn zyY-y-N~TrQvkk9$gVs zZ*3^c8CLO)$hrF8N4#^@psa|W3IiHqa#2- zqSY0lvoIQ8O>W-DPWFnale30D8z}dljjm^=s-nN#yQ>XyEx2^F^m`kgtd3)rY`*Mi zF-j{vi$*fj_`2(S)@e%BhiaER4Tj>Iv0!l{e_E)(1T~i@v6A;OiFcF?VK#ESM>_gyj-ePh^}` zFom-UrjBK^>Ou|C@;y-fpxQtsQl8j9=sg&R3I*I^_u#BN_&`UvP?dm3BtKNPAOM!zM)+_)jr}nlDzZ}jkWWmfjvky0{rs5iR-Paa_!WWw zbY_0I_w;YLTI*GlbzU_wQXRK`{B+LltB&ivXg>6!QL5txLU&Jf+(;Z%@lEtDj&F9k z{i@>@a!SP0^ww0zt**a@RL5;ZERJvY_&)OZr0Up~RmYD#$_|er zlj~qv)04N0=98~F{H^1+h%I&QKGpFMcF(G#mwkBgc5zGBJyv%7eT$f1=Wbc4N~JoY z>1#t?<>jY-DY8F&ZeHSt4Pu(kmp)g`5~EAhx~iHtHohnp{%iQVPYz!0zf^ZOW~q1@ zLB>j->O)r#)dA4;Ft7Rt=heP>-?XpV;@_A;EyT2|MLJ}JxoX1|RB2YBgIRv z7tJLDzwMCfsO3xK)`K^Qq3vd7-Jbn!;BwXD|4enXPI}^F_31U_gN*S1Zk7sPKiA}^ zD9vYyp$bbmGY>%x#fJ@qP#vkg;K@E{@OCxZdl+0jXkPBke0+VB>Iio&zoW1Gw83fY z4MB)TYnSAdd3FnYTKyxZR%(_Qs*+Ytk!|n3LZ3`L;FKFyzA1dOjC8sWd)YAytA%^@ zpz5ccHCMj%OHIiZ;V-|Ab_*5+`K-0S+Ko?qrH->}?!=L~ejP>r?vS#;>{?~5d&E8}cepw?`_{QJx z)Yx)AhST8z`dB<~F!_}7BN6|M-cS?TO4WELIn|?(oM+2$#z~kgW4xRp&o(AcW*jOY z&t}pIc!#L=O54aV0 zK#xd18?&a2lkFuLfLlRalIz|~heIGn)04&QANhfF07rfU z56V%*{DEW3pHpp0#COr#a0ABgZMuxxebxF4FPbmCXq0OG6`}RiWTd^GS=n0RsEU70 z@8bA3F1KH`{+65)@$cx3Hbb+r-@E=AQmua=VsZROkMAdsPpa1V1mw>i`e#>@ znKxh{8h;mmoKmf!%4@1=;mjp3ijjZpe_WsLtHt>Uz=dQ)!yi=ntU7wmqGMNzh&_AT zUQfQ{zafQ;R1Ccsg0y@|@6-KzXVDMW5B=Nvr2_dTgB@h7T0?b{d_6*{wI*lHuD&Z+ z^IsP@BhWphT0?FMx2AjPRtK{*P}yaCT|=t1bobsxSL}&T*S#7zTabD77~yF7MNZ~t zLoiD$!^x~7*B_tx(C(Mh3eC!D`RSbzsHM-oy#DuhK2wt;e0IsybkO>LiqE{BVf>Kg&|In3 z5$RxQ{b1SEAH5-Nd+%NQ+Ho(4DNOf3vXQHAsS0(LA)mw3@@-zH+8v_TE&U!U{Cabs z-|b=Nvj27rH94(rw|yi^TDza2-=sFkNpBrPXBo8eO&=h(vI(#*aD9V$x$AQ5&Z?G{ zZW7h}l4XB<=KZcez6eZ*U#Z_o#DAkV)FA!@9jV8!_ImRyZ?ZqrJu1Cm8ekTfRa-Ti3>+$K5JxzGpj$Rv7}k#`p@PE~RBG@; zE`+A=KzO|w$KH3~1?=7};6Imf(4m?G5324+e|{jGJjOu>RB~GWhuziQ@Lb7H4c78K z?HSKyi12_zz94P|9?+4WAV+Nc^X>iq!>gul=VWMlR4y*uWA{yuJt%@iJj;tlnI3x* z8g2;?v%U=>dl5%fd~bRe$Mn z&%~k+ul{YqkBh||ozJS<5K@mRU?11}C-v3rgw99na*zu{zZT!Tzu&k~q~3kxy-yB) z#Bb_Yb$h>|x>5S^6x}y`hp0}!^3A@3ZuRfwO_>j6QH18gvT^DdbvC&MkwgoRIKz9twO}jfMR%$D?fna{rkBk&UKP=XR1&E$bc`D1LB!+(u?esKe{31~suNuH~Z!Z&UY4xe) z)mJWb@JY>yOqXE1n$>T^?ppeiLn9A}5oLo$|5Wt0DAoCr6(Q3@<6BrhjLu$szqUii zMNfzkI-hO6Aq460*lCgrs{mL<(CSnA-|zhHEI47=IbS7T7rA*ROcj_`T7DMo_sJH=UR3x{o7-0eRAuwo z`C$5BYDPF=TK`$S>iUgrk}V5d=2>XN1Z~ZHS~=7V9kN{DtcSl|XEv#^aZKy~DTc;w z05e}*(d4K2a+T?EbSPg^qf%pD5=~CbzvuGWE&lIISUp3ghnC;=<#+w0j=>+m;YwgW z1>?_`oX~e+wD{6r-}9C8%z*S;T?^g}m`IuTnnOH)`DI=mYpDDRI6$msX!UyN(-ps{ zdgd>O%<s3UvOMCIpc&^0DfV0X^a{!inn9kv_qg8i# zt)we=m?AKVfCph=fR9Z_Wdg!KOb)EZAR^FVLRlPMZXjHR2i$qJiVhiB-qTsa>N3VT z+~5W&wfe$z^}P(pBSUjLGVh=s(BY2o5Fh-34*xm+4Pb|4xy_(Cy$wyp zPcJ`n*zTK(hkDVp@S;(s;$eh_TN(tW5)7RkXh|GZ@x$p|96!S4_M3`-Bd0{X6}{1> z$y7Yj_1BQ8coY$fasbDI$@hG_-MVX3i39Z*u%xBrPuF<<8W90Uo2mLZ; zv)G~1Mt?L@@lbZxhNz<3=Ph=MT5f$Pe&R-PiI1<&RBWcZ%m1m57pxRdy|L=!ANF1E z|AeSDQkjZaZJ~7F$r;e>12OP#eJ@!yYK3SER}T(Tt5o~2yOzG1!NY!5m!)EMT6#0R zuRgf9w^q$AVyM`wPM)(rXjv`r$xEoR9+@W3OjT8wBr@1uYL%)Qp5%rjE_V9`Ca}T>Yu<@ucv`VF= zFY@?RI~|$1>jF2pn5!&Wc%Gc5>C@^F@ntq?rJTV}A4b$MVXQjAAHjK}kK4)lvaHeR z^UIl8)j|CJe5qA8(xE+T^tt~?EOh1$qDiby%LAYEtO%Kk2%lilgZ6*b_bG}r!tR_^ z@VAFn>X>jYho{lgeYbzCZcsW|k1utOja8~P?2i74(4rl+&j@@^2&RbVjjsKNsdyCg zX{zeNgZjNI<}N+x)LS<=0{yx4HZpYMmeyYEv0YX>wQpWNXXmm91D9}{uexjHLs6Qq zN+Ta+`UZwpsW_P~IPm_SFQ`>_Oc_eL>C~5H`KQdxO)xFLC`xnF)SoZreE#wqp*|tn zPA1sW>RF`pU--mk@ECOFe1WNV4 z|1|_j)3aCMDM6T)?Zf%9ucugjnMgM_e#)I)bee~J2xzJ z3cOuC3)OddB)j>i%(eU?R`Yg*DKZ&fAFTT2QN2yX+tC|pC7X)*Axs|6llx*7UYR@=`|HKf_2WLdw)>{X_TFmaoy3$W zrRXpX;9o&z$P0$k0FLkhVPZzuKim;t&_n?aI{dR~sZ2+haA$M4;DdkQLHY>x4-*ME z@^v87gYk2?>g*0oO*U~6tpyx(5P~?|5r3{NT>z2)$Ty^i<+8`IfA~ZAOix!Z9qGb` zREwWJema~{zbw!L8yb(!a+^T`y$wypPxALUVfRhNW4vhEd(kLUu>+yumZnJ_G8H=# zM^(HNy^G_WU2earcq}<3;)V1^n8KRmI~xN)L}B z3XH%gg`P1s%Qiqmhr@Q$c? z`sNGIIPozxTPVGa3TnGUHerY2Z_DImYkQl=tIDb!b2n0BK# zI}gl%V#)>ktrAh4FFiqB&Wu%{ed_4R%EvZ|UGe{3e!$J|1vZFw{<95@*3^Bs3%k2} znkE&vl(eI9exlw>am;TrYFs&lr%o`H6yf~P^7GTDccnySpC)VXD}2xY9TsbR=&X>I zpEc|6-03{keemU%J-@;K-KE_)tEb69lC@MD8e6lRTKdbLUhuH`L?G&g=Z&U#FvSFu zM{A#zKSY0YdbB)a(7$KY_-{ZWjmflrYI0DN*~(Nz`_ke|e&t^7%cdfxNMv%%RaJlg z+C6lmlwJ<*hH01@nma{lYHC=z$wPdZH$wi^o0GJD+|8QMhDO(sAMaC}rxje(^|k|3 zVh~(iNTz-+<82vg{k3@Kh8`MWkDk$NRKrdvCcl_?@mHe|9pM9y2Qc72&Jb)Q*Ct zqShY1d#c-aj!fSZfwQuWZGYzZ;@1m=ak&S}p%WKSXNFq8RoUg(9RlA83hEP?`WLL~ z`^R_lsXaemOPHp;sC^~k$I}~X?6Gnc^8|7VE6mCBY%g8O3JL9VCB#P41}${BRT2ORMNg3jqp4nTMe1w-%$afAcd5FP16e84RZAN(!-tDGlhxy__Ey$wy* zUGpEx-F?%wj~7i}FB)aK3PQsz5rUG+9Wq^Q;;4%Eqjzz5pc*qKnqL)OpptRy)tUy2p`c{R5t zLL*qo5@ou=RMxuqLZ>^K5))>2_-y`bqK}X7bY;3`vpc1qpY)>A$Q$B>eXhxWcl`?g z>^{|W47nHzHC18OMfbcZ@Es%ns-wB-s>x6CGjr1wAl9hBd^s|uJdoaru{@v#bEkq`JKM{^mXFPTUYk^k*WpbQAirgH^i`(oQJg2()8kAc7RS%>_|EqDSf#&!i18-n3@pbvuaSeVd@~A6mGBd zPj5SoUHy`B1y_g6&ypbDWjM|4Ci0JkS#rot&dCE`{y|{Y_YC&u0lUIDKS$|&>9WvS zJd`JS`{|~x+yC-LP)&Xc(o`i3s=RgAfItP)@-21rVQ)K^6{c<;cx>Q1EY;^K(*vp^ z>M03RnEl-|;^j?6ckTP-YX8O?TIGT1(Twv;<7@fd=9N6_n+|OR&7}IEo@w%X`2te~ zri4bXDY$!s`o54qKh0-TwRTDInVZyFJ0ZTh@30)k`J&77!dr_)S=Z5p?H_tNaOUiI z!yfrRpqRn=oJMgVAY$Gm$W%Ja2R+5~h2E`LuHQxqbP|!ajb; zN0;yajNhcDFVbbo&%e4#fO;XtYV5{S^Qn|>oPG&T&6qyvFKptr<8bmBYV~E&s}pL~ zCqMn|&%FQC%7&iI1!yo9tK?ejqU-Czg51dbQ`@Zzas()&%AFn%$Cf$QLRW!+u z_aNYaATT_Y-60oDCCCpv7;c?^-!&lPvfOGqp5BJ0$L&LI$=ZF>V}cjWxn4BN^q5F! zxFx9c*0bsnC6222BzhOe&vUu`rpIJ*O2nto8*PqEkMmuB4VfNOiC7$;=J8c}d~(&J z18>-id6c+Ek#cvK6Q53Ky{1Pl%dQPcPt~lvMch<7>EW|GY!RDO+USpFdO&s6hF0(T zkh#qcTexWUI&q=SXGcS(ht_rd_>ULwp;BFv|S zn{)34pE)(xEd4UQ|5L)JN+wUUk6`~$wKcw)tao=hOP(ECbZVQWf&T1-(5i>lu5;ec z`@F#^7?fu{s~+>NeRik724sJ`ZR~Xr=H;iQn{ve5R7L+Pv(daA`QtP1&)RT#Nif2A ze9*=zmsMQ@Qo!M9@+`=juw2YaCFVAL{2Bjur&8n9s>jjHraRc8j(heUiPy`koHkQ>@AAg8cG89C4P!bw+1Xr06m zI93^Yv3qZZtkPS+t-u4i#s0f91g_}Jr*QaVcYs26M>sGgc(p;DEh+#%AO`>yAM_y3 z-V^{mTZU7&A&Y(3(j6Q7XkcIh1K`ZBh|Q%x^+`;o2XVU3N3uYUAfCr`>C4^0?Dr3M z!1hc>{=*$`ME&&iICe*R@)_rJSim7C!Uvvd8!sq!dNZn~lIN0))_;s&eCC2G|v`%emf}ErCm4!dqsms}->~*Ee_=gyC zRYn_qdDFE6wqP0N?+yI%X+k;z&YxIwMEalZJ6?98SME~D4#5s6@GLWXAx zVVdR1gjiI6@zm`4e47|KeDDpIzP-|aSv1ubta7$x-&($;yDj-f{5tD_f?c<56vrbp z51y{hQsw&GJtTSm((O_O`e}n z&%Sr^7Ce-5{!bf~=_jK-A+#Y)%kN=*j;y;m&tE?y#^tWbK~XlgezppkW?H!34RN?$ zqKQlxzcXJK0Pp_xkRRHRR+s){rzzc5smu2Le3?zUzp9FA^_E1>QKnfNB%}@=yY7jH zMa?sP@BP<+6@l-p^--o7Of9Wme|r3VY3B;MJmavYZw2a0=1=A#daZoOsaCDNMA(B? z&%BLnMN)?ie9E-DS`~unsqxuMucTE~FGH6Hu6Hr*CoD?~k0di!nS<#w9UuJlGjl&E zvukss&v^Rlr@86k-yq#vnP%;|{Oa0+mEO3=qauB0hcDjl{bXS3V6>gj{$UDg^*4Fz z>pu%@fJ3;RcRTY2I1bi23V&QktAQ|8(XVRtdgGl%t3}eAvwbmOdYbkV;oTdJEBC_C zwHsP~RzF($ioo~F{NrZk4dBQQfBiI{I)FYU!|4oDa4wZwB7POUp;q#>8&{K4SbyyfJfOowwU|GjA-qFw&{cTsPnp2X z0RJ$(!PkxbD}MG5JV-}4>`kqz!9Uyqk?+V?@aNj_;fKB1o&D1eT1iLvqZpU2ZiDyJ zk?-&i$o_H73(ajw7t|Br@CVr0zk%?YEVmh4OK(F{@!>O`n6&$*;&om$|Ma3!rsDO4 zhFcm0rIr&qyEKnDs^T}$yEuNM%k4K6|3yxT_)YXinO5E`!5Bz$E#I5tjcJn+q^f& ze=Ei(qK`JcZnb~!Hl5nUkc%!|Q!y4i_QyS<*i&_C0;>N=W0m>{J$=@|&?+9{CvRo{ z%6~yTKE$=Xw}ezHboCfwv~sBY{p63-s*@HT1({jJg?L)J$;n(L)8rt&T6G2rrkEyA z`q3{w7dRWz1QC0%{hw|ie0ug`r8*-0lKubP+2mlpWKuoqpB2tirXuQ*9&U79g|l#6 zvlFuacujQm<>%?jRIJA|UG;5~o7G1gy6Ak#G3tg!Y|z!(QS$RMKXq!Kz4(IcjSEGg z&PPW8V9H{Hq()wNQlBsW^38c@pEBG$y9GypRbP!>Cc5w7DUi(pQ^VX8*882^F*T_F z)E@Iyi*_29Mg3By`U3BIeIU0+^TD))>86Fd@XLvxIml$ z<0Vu#?lEqiBHgVsBvfZ-SQS$$T`v0@$k5^ks&Fp5L&alL0^VrAk$*u4A&=dmk^;Aa z{u$3@XaydG3soEOwUYknTj7#{RbGX2yg^*uSchmJ7vzNM3_5Vo;m%N9AAxi!x~=|s ze>fav+8{kpje!TlY0u#xABOnDRcD+)XP7Kg{(P%2|H*QzSv9>4RqMmPUVhB(tJe2; z(cJ4rqg3nr2o2X{FL&HmJ*xG5;;4$>Pw(RR11`5;wSJJC67dD}Mw=nk`XSd}L#p+| zL@bU!;_*G|@yW9}P^};HD35y-rCL8hXuYa6R3)wJwC*|aO$Vy=hbnFKN82C=RY>cq zYv(U`M_7AjjlZ<^L2;hWmmaTFYp9YW51yfOx77;ws~v~tzaN-I?4eX^r~+Eo8JRiv z1A*BZ^_96tFd2258miwuIg&}MWUL|awFel`ZBAY$XqR-U8m65 z9If2T%A6X<`p@h0o;dJY{~rHH=8Xl2?^OJ8VLE&^M=OWq%RQGl2mF84eR+IUMY8`H zTtM6+BBG*PVt{~%QQ1V~90LdfVu%|m>SY@d9K|Cu<2XjI3p{7W(csE+9F03VF5rsm zy(*h~*c1?wu!wAq5!7*EH?wlK1R z?0nsx3<=(=G))19N`n;<)ZBBcuKfV6S zQ|`2nPt(ZjCW6FQ(cI`fucwtSqa5Rl&&ER(hw31LE$>pjIlXPjW4n!c^D|pjp^?>< zPn44mH-4j?Ece6D-kg4Ed-utYudntKf|2YblxuwGUp0AmvkG$rhbQ`xyla0|!z#xL z`=&py*qqIQs4U7ovESY+neNR-p8>;ais(Oxv!;s31?Fr{zRWNE|NV#it@ELxVs%!d zdISmf-+^sW4#{5oE%tHzU9>Oq>E6HC>C4^E*RMLbt74*j6rX%{Wj3|vvTzQW5EEFm zevX{t0!dV~PL2-Y%N4Wz!1S$G^GJb(*f2{oe6wlQ0Hd-vHMuI**^^op7rH3 zjPQU23_RS61NCQC1M)ST8KrGn?)0*sfssz-N(P5(@Q5es58*+C2K|YF{yU9rxMMW{ z_&yOlL}lRf84q{xf%pIyM8ZLSC*aPufj#}1a$|fvJWI5Go@!HB_yU=ZqV8Mw=Ehml~hGXwcmp?xs z6B!y@X9=RmnBBWFh*FAO+A4{z4P7z#CA_-Sx^3-^Z+5DA*WM#s;Vyb2A9VJ#HkUpxBRS$`hw{i=-2mgYW#@INi`xQfX3>YnRap17)la4-uk+NZkttakEo zC#G+E!QNO(QyQ*(M#~SPc!KMLXtxz-)Gkh!%y_bR#3ys?o8&U%V;h`k+`*T8|K^Q; zYX05ZN`C*>$m--6XFf+Gw5&}MTCVgpRPG%(oK9?udY1hB>W9+L_0QhczQml_(%$+7 z`RxBlwnaHq{H@hfzIylS>6MXBMLS9i&TKVj+iX=VcYDz6 zuZV2Ka=%VRq?>|r--sphndk~ID?g9wNm)3bOo%~z?0o?_#RaZla-b5B8KZ5FMO=vN z=FCG>RA$)VRVZZeMvGLE!-HrGJd3gh-n7 zK{1Tq0XS-WPenbn7AF3`1iOsnEahZT`yqCsp{U+`Ib z^NY*PjU)CfQ6FbM?V-Ab*)W6IcM+euQS75V9@{>m&!aX_OZ^(#c_RVgIy0aBfb%ZLH zIP8I4>DIk|JEZozo2?}_Z@zJjbHiJ;6bNel=e@T@zE1`2Qb`< zZBc&eU56oSu6uUb-(K)XNIH5aBbTTJ@0RL8k8mHz2+Zn>_MTkV;&b!fMFIh2ZCY=2 zjSuP3f(SdalAoZQGvlXKK<-NRaGxrnGryt#C zcSU#P+VIYQKZb7m_So%TLq?3L!tXVMYX7 zyV`thVXFFa>)FhQ~6jUFp_Kh8b`6Yy*Zrh@?gAAEGQo+o(U_;SNz3;Xt&F z#6u5VDGH-H6=*m$TH8j{R=&t!dV}Y94b1+iqt}1nYaqjnkBRK8asf>pss06h)HWXZ z2Y93x_!9#C*N<(u=Q9jER+E5-3I{y$-Ka$Du^Wd2Joo_YF&^Q9KZ9okVBq0DKfs^0 z>hW2#Y&Bg?rlacd?&(+W(RkHkjf$p9MPpQtY69ae0c_T%dejib^l&YirQy0PwXJ%r zC#SM-1DR-ZqchS{X-rf93 zzxCul9kSqrYJaUs8~un?4~XodD=C_P>)P~rpEWzDS=SZ*)silVuX>31YA4owlfHUk zm%g{ZU+rU7Pm{YZz_*a`QO|-QA47^5>JnWqexrPn-t|C-2bZKv3(2l%CUO7{QnH4V=0W0tEWGbBWZDf9j@k5!MR zZiT=O7KB3xU0q(KQvppk0E0fNt6$fx~m>hI^Hm~joiz^ zFUf=$#Hz0mU&h!6gmKZ6Iqr?Y?f>&r0k#Sy$8!9#?H{|4gq_%mlZ zpu*&Hctva@-`KxVsSKVGh==p5hRc->B`OcpVA&&EJsC#+0tVkb;Gb=yS}+WLJ^m1X zl;0NiG2ySMHkO68WIC!IKVSLeUX52hzE;s}SJ4>NV+Votw1m18#8y4NA&TkYw`7)v z-({(7)#G2}R2F_uCfXdS9zSILHKcm{NXXLgCq=hY(dn}c9r?1~e=E$-3Zwb%I4#^o zV7;mbhC?(gVl9siF>H!gj!o^qq(E3XMgXg{OgN}dC|0`UT zJ=tuyf@m({^ZxSVn`yis@Eb`-lNsnzAwmk#r}nG^x2A(z*Y~+~{Ud%-(s}M1pu`YB zA=H`;N>D8XKKbgT#dN7=+1i5s_t_f;YQ`AV11b>sr9gY^|C_t~!~y*u_~fqF{5FzL zn*4AbIt3q!Alf<5zyOr>9`o;ZBkY<$sp_xNm)FmU9v>Br+v6$$XX^UbPWo6v)j)xUz)zb%N7ml zZj{1?Cee-naf^Wp2n;9HlN*_SnlpByj{<_nX?Q~ zJp`Xq9=UyCTCY+s_eYBi^BU0)+U>0OFRgm0U&$*Ckztzutba-(J#rrvwRxk7Qen4<%g(u1Zh3`LTKHylQjJf%bN+ zQ9bgRuCBcYZ~oW3hm9)NSQVFp^8_E{^G_u%jX{;HW4L6`(uQ zNBIJO-53v;qc;}t{k1={N&^1ik;}#4*_|4u{sX?)hH1x~#v}d&!`juX)|h;Udt3N} z&4?3iQGYk8ZDrx^WIBra#ryW#zwx5}9x9qWRWwG_Z%$ymrXvBAqL`@Pf+(hkdy!ch zw#-u7qW<3GR2J?-CfXE<`uk@6H6-fqN66A}e?^z4=xkB{0EKC#Fh7bb1=BSd|4fuc*RnbUf$8H%rzblwCb>cfAtI(&NFyRVs> zOpdE_r@zves4u$0M5mSSrfb!;`%5EFjO7+l5RENL<(_2$ofvA#$$i!lLzxPPlys;D z_Ry}dB|E;Sd;YT<&F-u6Pe#Pb9u?c*MCHq0D*vdKOU&#q%2y-%I}gR8e2CP27O553 zQ1*%DMj)sTqWn_rUtQ^MxqtL`o7PrGZgeU!qCP}V!B1u7uh#L6PM<_JSPV3)3=rMx z^2N)`|Hqg9iY+TUOc}S*N4{%zJ2~fzXeUJKKBNjhh^|F!gOk8l+;vqZJ*xP-_SJjO ziKuEPIrAymVM72iZ7 z>UUswkuS6T72Exrchz=(wpZG}+@ibKY;eNV1^OBCRsj%@^&Tx(!>O#x)aA zRW+mTt5SCTbl>1)w+GL;9gUFr*@%sh(egWz!$JQq@TqUVx{Jrn51M?_m7PBK_8zUD zJnP?@_$vz!A`@Z>i~4QIDJ}rj@T`AgY@pLQNZTo#1%RkJlJS6#Wmr?0GY(YY;bPfl zR(k;BPh%S*Gema47BvBk#|9%0v+VgC4&VgC2nR3)VST_u)a@5&G+@g!0l-I8gNg}E zcf7V!fD0oq_+Zi7{k=_8;k%Z?mw*A#Jr(@`00;l zG+xv{L`8F`ipGfghY=XB>4>jBQNJBgOb-tyvot&+OKpq#?a8SuOpu8-MWTL(tiOgt z{d_`}hDR#80!61q{bP7mzoWu*QW(wmG1J1%1lB9+W0r{U_>u=!E%EVA#Co`9Z6WGI zbQ5&t6@8Yc2i~`E(=q#e>fbHtg3FAk50RjG9bUZ?v0~@!A%|SGAT}$7t_Y&A7&=m4 z9KX)228^r=kLuq=WBYtalqdP0`S|Jz zKS;gPt!?q${z(WRYiG`O&d*+wE;#d-ME%PAySEw@NYn=k!F^AAG<~k+F6u4Cmmd@L zMYt;t|9q{#arCz@jo2KWjm&+yBC?~YF;Je}AU{Zd8EC13j5Il6k( zC&*|27XR8UbMw%5(>Is>>!|R*UWu$Wy0=@q{T0T}GKl)p=f+dknbkN^--#Pnm9pup zuy%gBZ(wRF9pna`)hEWD@Z)01TC=|VqnF7m7}@5rE8g_G3WS$B-FaM*{Tu~h-iheW z;fZvpDTwk5ihlTWzuA#XbVmf;*#FUNi}v76zUF?eXCE~BEDBbqMZKjM+{bsjp1F^I z=oeISXi9)p!$QiBvak!85Mz(gt3X}JDK0Qa-=#=g9OwXtYdc74+rz5Fg$!f0gI6hx zssk7*%W>@AL;J!s0srZc;%Ul0`?zu2Mj!U z&3?F?7q7}2`ayxhQ^9K+CR8lo;SLyhcBg{Wf8cij!;HtqF0(q*i}9n_=KM|-+pyu& z;}7woe84wg#E9K)kN!avdj>S(#0Vymu4 zsbMKGn5|D5i(Ul35xam!-B<*W<~l zEbKuh+B~VQJ+uBAQeAryvNY_i==vx+eFGR?pFcri`YMd(n_izkk-&OY*Ott?=mLY$ zx4n@bJL9<8sgtYx)h2E9BUD$YTC$73@#-)9+82B8@%5(26NkyVvoPo~n~QLt-u1P= zv+u3Nx9z^f?=0LssyW~bLo=lV-^_IR%YM<|&EMU%{53xxuF7^7fumh9L<8_A;#<`7 zhz&kn3qv<+RYztMT}6ecDC@rZBlw^cy03~M-*oo4^Euqg&oKd}4!W|tDEE?se*Va> z*`xESuY&192p+C@= zLg(@m=_XQF5vu7TcYDpCHtCo;R9&c&f}ddJ-kZ|pCCe7o%v@|g1xJq(LzO?2!xQW)+=;?{O4RP>-FFAr z*Gn>zRsCNCRU6zF>kqI%6U!U(!PH}-UH91fbr^aX-svT4Toc)Qx zEtu{UZL2`C21IPe8+X9K8wCGgRf+ik8moLp#pG2t1Lp_us%>74G;0}8z(;@yMhCv6_3V7r*!YgL~fD;jVz`!G1*!|dlKHHHS(tN7TWnp%m z%5ekX;+4ZEG+s43Sw&NER$UOT$yL)V69in4HSOA!MS> zl4^Ep)?Y)a*-%23hQk!ya7DNGus!K==Jvd*c$&hDP#Dd3`)T3n1lFsXVO5Rr_-g-F zwA8wLyebV9KqK9|Qd^|VJrv?Nut+yWnIAhV)XZ?{ zRcyKQZ9lp0--|AJ^D+Cf-Bi-K%O6q~9`#cfm<@zTx8SF?&ogU`Xb6=`lXnkVayW1o zbjePyZ!?#D!k_l;F527W>pJvC_qyj6osb>&(CZo1462L7XIH^~S5^4Wg{N2B?_Xp} z%{2wB5OAHHH+bKzY20uJkyWDynH$nDl#BRkCVcl*8c!{@s0)w&-1F0}_wM;A%9Y}C z&re$gbKkIN(a|b9V2E&N$HYwVmmBA&+YFm=O~>*jeyPkC+6@3z6{@aG|Dd4! z_nJJnO7K5B3tt#h&1AhlX`iZeV)3&F%sJ#W{}h?N%z4i3y`7}<2AK_nP?bdgqBhjt zbi>`l^RAq4ucDBofN)T6MZG9_;;6dg_<2@*?l(n>a-|U5S2Y@2eqax(u!3nH6t8NO zP`b*(kz`^RZLe1~O35icU}q);Du7_Dw!Mkk#;kn>+#%}qV1E!@j%V28526g?6G_Ii zh(sMWd}_PU#+#d|5KcbhwePHst^a_ByQkg3w->O#0=A z+<8@j9%9liMnq&dk8S49q)+?KRuuIYfFACHv^(%-Rv)VhSbYEtI@rK7Oclhs;pz;k z4Q1h(WIBqDcP$w`vGJngSt^>dRWwF)Jcqz|O$6ihiH@U)VtRNknWf=*S!!E!JfED( z!qH@+&XeePLDpYGqT_{xEDbMGbV)_0Z@9uS^DzoDR$(;Xbj*Alf%S@xXo}5D8obIU zo?7E?`?SY1|EyT!Z?AK=L`Mt_qU*@}wttNu%q@DN!@W!VS(2{iaw9szzZeqKz4Q}b zn{?BPOXu3h)02~(yIL`1Q_Qty)*VB(z$eH5HQ>8LzC= zBymZp%AI#rb?PuTcI*^G1kQp8I<*)5_4ik8{=Rwi(&1yx z*^~X44^dyd?4EfX`$qb;x7@Q?NS3G%PVP(6E9w$k<%sH`R<|6&GdmgpIe`KG2Ywm6TiD@^Q+*MSq$*S|>a~D-bx{1DZ zOmq}{mRC&KX3nT#7G6hM>|C!QnrgcKW>z1w^dcP<13JB7F5#B-uQ4K$;6EFsBcIWY zq;+RcAUX;@r#yGXs`REr^M7CW{StquPM9`>^J1c-NXKk{=^N%Xc(hYZm|GOr{^IYC zxX!ZM?WkL9R$ugYMTd_1D4o3Xuc!3=?Mr@tnZC?fj``N#~7-&FYKtyKmQoPy8VzJKJ9Q>D!U(6HahUUvw47z5Sto z)$I0!C_bL}D+?!(39*FFp8T4e;sQ{`rGW|{nbbBezcm|OSX8G&Tgsm?AhH5q06g1K z5!4X!592eJuzwaQX~434W=7k1(%m&4;R6Ogpau*)++nk*oiZYDpfJ?o!iToo0dBy? zEU%$re<#B~Bl-ho8~ihxIvDt%xW>p|_CexXC;6c0B z;n{se#DDJy91W+ZE$Uyas^LUc4V^adv_J0pCLA-rL`5@6MPo$$$ppr0I;SfuGQ^IV zUrH3y!{3lu8eW#AwnhER$*C-yLMGZ2iTYP${WT=&hlDH*uT*qX6`dCKarWf53iCUK z(R|a{liw3quc+UZc^5-c?X*`u^vkFI&cAwbZc$&*1q*w8p8jTGyGK9!bd4=Sdy|Z) zkFG@wImtUZz2blOOot;r`DmFx$mAvc1n0zNiG@g8nLlG^y2bsMeYpQ$GJY>fN5|81 z4LK0mDPP3b!if41ZAE-}+ux?+$xAMq+-%s3_JV#eGB!&r0v+{g@jJfv)6hvX2S4N& z3Pg5GVJ<%59Yef=X;J_~WlQ$Z3?3=hYTsXNUS$Seqg^*vG=0`qi1HL=BDR4?@R>LF zn5E{aLFBjQGq=dz&;qn;eu{FXDC=Iwu4mPxaN(DmjmQU;Mf2J7mu86*>!y8gE+fXO zil%cFrJ^EAi`WJp(f%rW-v7C|0m;r!*Rx8VXV;h9<)G6Oy)nyObrSV~f@)zz{f->4 zXrHOA*FE9Sow4H5F}te$!H76((@2h4<$QJ*l@p^BSi1Eldpfw$K~82JWAgG{_%UezT^doY_8JR zL0i%+dZk~bj~l_zUuqBT?V*JXk+#CSmV;gHwdSl%ffb$tit--V{vU5pisp+epQ3#c zGp&P8%wK1=MYxrn?|7Fb!Z%HNw6`J7`69y0k_H$LyKsD>J=7fh$4%xemR-KN&thSG zx8rl)FpKu0*rM_FDCQ3;oT&GiEpI=W&gB1o=3DpNYd`Jlxo<@6&Eae7i~wgbj--B_)ktr7Ba=T&tons_S(G z##&Yw)Z^%;Hs_Tv9R2JSuCfYoyuG6yq8d6=S6S6e?FGY8=qT8G9 zix@fVFy7$wCx!X5!f3t^n->0szMHAN{qm^cm%@du6{Ahd- z#ade7DWH5~mn~*BO^D)zbYD%g<8vR{P+pp?ykAmXM{PWLho3y~=M{w;{%#+?u1PxQ z%c(N`8Q0g@qpEqrY;eMcoMv_5swX^ee`Wj9$~RZ~zpHa6mFZ%my4JI5Ti$nKwO_bx z=1u#(U2V^PQ)%H#DZY3O;LE&415NcCMX!{m|#_vsg4T zxz^8w6<=-<5mN|)4+_Ecj741KZNu?H6&3ZcV(tCg(zS)7Z+rXOS&?f6+;7-I`RZs~ zSGVG;G3ckDiV8k6QxB^0lW$-DK;gJ&d~3Cru9I*r2TPQtNpDv=!3QO=1w_kRsQ)Vq z|4Jr?nZxu3pj*i)KA_c13RDIq#%enluWcjBoy0J&3gG4`4BZAcB7&zsz$Y?2I~xml zhy+GtX}~|@Ap#?Q>Ih7b>IZysxY%=^7{mTfWqXje&E9^9L_-)4z6JyK^vC`XKf7iH z0{zQ&YCvF6>Zh1t_(M2sM^`%x41bZm-?vd|mWAbHI&R>ZeQc-w8ZR2nP|@73qA{Y; z9R$W}l1Xkov-)=u#q{tlGE2j|v(&a|bPqX|g)_-Soh8xezq9@t5{>R9WNG*}MR%W~ zv!AH@yTaVBFq-eq)4~S`{6*173~B0h?5-yczu>a#sv3Nv4nwnOim45BDJO2!hz=nX zzxp7mh_19YoVnItbo`((3k#M-y1co`po33qu_#xT~c4~KfpwPt;Qu-Q*M`q?>WfAw5MwC(GdzIZvf4k5OP+Q*1S za2NHgV!`Mi(^F4v|LuDfpZJqy`bgx*h9=ZMk>A6YJzQ;$+o8Q^^4w<(5RGUj2DZ0_OQ*;|Ud@l+ z%o^F}HT#m{%t+_>APT8yQ^m2p-=dsK9$B$Dy>05w8~48By-2-wf2Rd1q)ujcv-cb6 z7U@e}Id@t5-c8^Cp~or98-1*^q2s5nN^F7BigBw$C<1(CDls++jnMPB5Lv zA7J3wxrX_GC`MU1Z#iFLSuf!D5{c?CPkbeKiGkl{RS zr_N{C(;sFvag4Wa7M=0Mf&O87FPe|tBlswcbn8$&b7NEi(?#vp?4HlI2ixP1;e58) z73Dw!CS0@~4G-m+AMppOguS8YVXBQ~;Ui=^svgr87Y}N@>hY+G<}nqGQ9T|fFy0ct zXnh-sW)a2o@ChXw->4{f*eeUBPbch~0+JUiIS;0=_ zpN4(rdr!Z9+t9n7h&&nRdif*GJBa|jl-UJ1$S}e)!Vi))k9>Px}oQriMMnun7_alc^k11+e`$Q-QtKQe z5Q#BH^?>Lt^1J4-6*YdvTelqB_Pg8tfs#);UWr+1s2-v|)h@Lco?SMy8=8|Ts zUn0o>`3u!i1Y7&W+Z)oj;jF2A3O*=kSJk-bA~xE$PDgL&_9xmik+zMU9T50rGF@qA z|Hp|8^XM7`SC!0C#ZzNqX9q+*tm(ICt+})up2!xHRXY@o zgAS??@See28!%qpEn5xelIbYwFE2TwwDF?;D=L~-RWwG_e~rL+O*ahJv&!%~QA`it zAhR@lGfQoY`e|}13o~S*O_8YoR@PrbqW;^2EDhgLbn_IQez&3nZ@`$ZFbfn$^W9-u zxRAhlMSTn%VrVQnuynCM^RxEjXKkzUYfRecM{K}=s37P{zHR+&y5{eD&p-UFRsJ+d zS5YVGi!K#Dl*otKW_w5)>fE(9LulG|ro#}b$xbzA2eA5pbP|5{`}1G*pBu3K;?vKl z@+Zpp660d43}Wb@;BCTtF z+VQ#biTu{g9&1(^plXV6Yi{~vdAji9gSI|<)Q9%XA5?x2^&tw2@>8lW>Ptf8isubB z8!#a1ium%byLfBbyQ1WdnZ=LWPxsN}5k!56f}-8dntIu!C~*WuSh zRFVQC>O*uF-k&Hzt@TXghM^U{?M z9B}VnFMrrx{Y<*=%|3_2RaSDWWBRHhQx|4dd=ZsvS@M^W~n%T^!Kcv1F470pK~8Y9YnOkljG8jkA` zWh;qddbpU((r`(Z+7@M(l2ci@j7+o%5@nZX{WT=YenQC7@KZ&%Lec3BGq@~qrNXRI z7|l0bmiQTg^@_3>nnl;4Hq4AtS72288%^5iM~Jc%p8A@xP1fvN!jIGCzkl%6($Y8W z*HAMP9J>yB8nrGwitnNTd||_Z==u{&OSbv?HR4Yq$JBU?u5#{Ac{SgNRLjYd)JTr)^zR*sSueoU7wgJE5aSP zeCm?)^!N5VkD9nVi#=Ko%2q&9<#o$EDJBTd-Th_X;6MSN4PyKlRH&6$Pg zyfbNmtuoQO0IfKFh^C?*W_~;6hjjmaZr=E1^Gf@5?%;f9KJD^rXJ)M-dI|i@mHn0djYbsw`m!6W9EeF41@3r+t1#LKe5LHDvUGwv-w2uuC zB0QpSKYl5~%f{5ie94b(m=WzEdBA=v)4_)6T|T&Mj(;qtM_G-yF{PuV^Xg`;AMdTcuP@ouOTcDr>~eL7qDG90t4tEv5zg=@&fFv^!D zR*_RZ1NJ3>4rjc!lWgNg78-aop3PJ-!=2df&o)FFh+=@f2p+R_9)Eop4;Uh0g53c_ zbb~*@z{4FjyMy0~v4O_)WLrbo9dzo?;291e8b`y=*ZvKjMY_71Wi*}!LQj9N8HAP3 z?wn7lGZ_ZH#KwEaMPT@Y4ZO);_7D7UTXd|Z+E5nOkm)Eo-f-z5BO5O|u2s>jQ_&dF zaXo?c)I@MvkLb98D5i&>lUW*W%u?H;;}_&q7H%RFb)H1W%~^j9iH=(cSsHFtblVi2 zeb4rn3iD5eF{0yF1lB7$9?GnXp}S^$^@l#)lz90b`&Rqwk+iHWL`Te`QMmZZN9{2$ zJ?YiX_ndU~3jZ3oX6;P;2_!+6Ja^{G^ny0GP3*8@rQb=?(ScBOF&HYE)!|E?tJv-r zj_BKA<>q%|$Ja2#i7pnD6R*4AL!NDT)_$O#))!o7(J(aXK%2ft+ciFsZi=#nnFVdh zsY3n`SkZU?jp@1ABrGa&i}`G25xaq2rtoHQ_GmOXh~r z@0;0gyZmx5oPtlZHx0Knq9a5>fuD8nc~CW0{9oIU13uB8fKQ0F*w7*PoZGteNAtRL zZv>FFX~cAGx4k4?%AGD+?pUpX=qS>mW(mESUD_=Aex`r1jE_!_x$-$i(j~{nZcq{E ztA2cZt-me&>BfET`p~!At$Ta7)7MlHzAHq>T55M?;n!qh7-i9MJ2}M%>?F@hR*Vf) z!f=B?67WFn4iSr%kCZ>`K{YT$If#rzch7F#7fJgji+y1CQXpd2T#>1bs zQ7+munO$wXarfBW;O!d>cI=j|Cf|_hC^{a$^V3O<7ahM<(R`<(F{0zY2#nW6!+AZT zp((uPDwJkdSL{4SlPBKyFNp$>o)?Y)S9|S_?=bukWMXu_*NfgZ2*&_y4U-k z>Nw1**okcn0WFzcSixOCf623CRgrs5`r1p99m?T!km2e7n%@rJBSheo54KVkyrY(@QXe zB7N#I*eNsj7_g|>WA-eyvj`tmF%!<^XSF}NM%b;~`z;+8yr{oB0M5>Ull&Vim$0t3%OPAhWcy1JaKm_x3X{#GNFd_)*FKM zB&T{5o=Jh`dmP&rYunuXat^}-7~h@k;s~72Fl;XZ8IhW(fkJt%@J^nzS&+dQ`Kl~v*T%XJa zvaXuWtcscNIXu7!7cjzw4SW>ld^7nP<%`p8@ElGQMtwo>UNoN#BG7-ezIAq>xoV~@ zR5NwDyz!KGW)5xq)W=>bnwBaWGxf1If%WtR;JBWtk9~+@dblr{rQv>AYJ2Kqe{w1d z^TLsK6IWc@WX_0fuurQv~!uC=1mt7ctz>f<1VX`?Wj?=I8Ag9)s6>Z3KYE>x)U zyaVR=!PSeux~^N5UyYWyYIh!o-LAU=yG= zc&&QxwWt1mYqfoYi06KT$Uz*gwu0D(t7dihnofml%+oqhJvF-6OnpE!6(ZG&enlS{ zmAhqKc=YE!Ta0iudG4tXL?iN=&u(MMLKEBAP8`-na-M^sYR4H!*V5p7lW zcymk`Q&%ECi>l7soL+Iyl$y@(&GoHS2~ydxDhrjmuD+!9o%+ObbMLvRx0Elgt8LM} z%kH9z$Y+YLU2N4%l<$z}PWiQ7?+xJviUooQ8f&N1OYmDBR#< zr_X)L3sa~%zHa910H!iTeVO&I-W$?82S4)HOTVm++%)9cZoP;q+cq}!A<~gt`}yal zKePGF-Jc;}?Do()ID*TwJ=+4m=&wsQ8r4~pEBSQq2Sq(1I`>s%Q6Gpd-y9R}#C(c! zn0<8DZ~eS4=a1@h+r#!a7K{t>*?&j2MYwq%WXUoSWy1Cp zX+P(7E5mC{zF@Uq^XYz>@GvWV7X+OdF0|YgFuQN_ugtCrkt}a^DJCvN_0$$DJKqVzHM%y?Gk-1RA-T=0-dKxh7@dwobc&H!+ z5r2Sz2R%gc9_$}5Z1_8#@l0=20jPXX9RPz4Ht-y7^el=ujKfE~(R3nxzTCut_-+dx9-N6w|{FWR`~cS!!DqI+C2q!U8hUCP@|QnDy6?D%6RPrD119SE%Up zD)3RP3UyJKt_q|1K5ANc6oK`sLams0(Phl7ot#R4a{affRzF(hZ#8M7AE63ih@)`v zB@R4cNqXaLZN~j>!czMNoP_JKHP3_Ss{=hgK==@i1)sC`eEqF-UctyVk6rPme)ZWG}k}WiqHLKCwr*t7eIxBNZ70{+}fUhTy9pm!H-5aRmI3X zJBjG+A<}gC3d7bDuxzkwGIb81bI}Cj^kS={j>vl|VHS z{8S`SyDvGJ->GT zjnlS#@VLEU*c+6y9Kas~)KG;)y~uRF>m5I}b64e@!*BIR zg5j)PlXT|O?w2l%sY0UMYe)B9kjCo2-TvHnZ|o`g^m4Zcc#q~MRHuCQAo#4fcj{6f z8=~!gFbERtzXRJMKNt1fdxuFM`aSK%{zZVOv;v;qpx;KQVr2eAk#NB?q%W8WJ1h4N~>Po$tf;SCME|& zO$~pHwjpYpOJJe$C|_hGv_FG~=zl)bdu$t+Xy_vWMA@`JuIyB?wiS>y`T=G;KLUG^ zuOU46DTvTV;TFJixJCuA-RS`t?coG%*GyoT{hN)mtRfkhRSW~`Q0h#hg0K^-RGB1) z4|=G;pe(fU)DZ$>+Xx@4qEQtPbns_WQ|;k!p&CL3ggeR^bO;A{z)%&VFz8?dZ^{9P zK>y^~XSgKSsM1r zQroIoZ*nRN`;dt?ORCukS$_?wW_<}+8lI@=`YF1-hwVjAjNw{3zA)CoRk9~dm~`|RCwdD(z>>{oB;Vh?n!5Tz;o_+}q)$QGlTb%3j~ zhsRViF_fswbMeY`Lee$)m220HeobFB68S|O=N2jdQ&qx_&oir3^@#R0Cl;^s+r4

L@B+~^+P7}|~_z-p(c zXS4P?W2@sYcKGXHUSEf6j|Fx*SqMnvqY z;ULL)h`t_w`P$v!!6)#Xt~$I%P)DJE7;iS*fzG$_=GZ>+3HbvUbg+R3%<1s*1MPxz hAYYIl3C6=6u%@ar8E?w5?g_RD6WdNa$>WC1YPmg2q>sv4~v2*YLF|O89-6gU81Xk_gCFjuT$NfI32ftzjXDhSFh^T(eM5H zRb?Wra!Xeh27IC7%s_EzpvYes$n@lwgaW1EM3=8PucT;-Mr0TIN=pm!3j(1;Ec9Q4 zTgbR&hP$I62!3B_z(a}`6#2p>A>2@3I20gt<*I^#(!|Mu+=9}AlHz$Jm#^$HQdw&m zx5;o{PAba{6@&vJQVh3sUqNr+*hd5 zM6rURU>WJaY%WCA??M~W#?nL8#9edTZAs}MQKTdk##gu#2}On> z6v!od|+QW_qLdzAUL z%;JXmEyX>ZiP})=Q|<}+LcXF>+$%$BE47o_OC6++QYWdilq_|TlBDio+*?z{Us4h- z4TpR|+^15@C@JxKN^{Bb!dKqmZbNh`_S{(FFU5Uxq$Fpt);pq{zl02t!zpO}yU7oW#Li}?nf4kx*XZM_TZ~?iPD7y{>GyKxfNx zJV?tZ3FVQ+KiJ)ZFtc%{mX{Y^O$rTRHE2{K&T_XTMe@hsp-#cs;&wdDg@3R7B=yRArf;RKZ>Kh>e5Z?a}0o>O@KyUw;oC zBem8hMPD9d%&uLA$7V?Cn?6p)q;A}tNo0;B zGAYv4k~+W>WIQoL>MsqDw4p=NU@21?A`O=s>ytE^j$Ed?2s4Yy3d03-4oY)OE04k%@Q)>6h9gr;KMpk6M)D8(5FBwH`r(>OAMT@GKe6&LG3un$8w6J)Yc> zvf?nFQFsCE@xcmWeP6>cFX&I=}3SeAVKDQakXi*E$c}iAo?>O{00D`Wo`rFN|QtqAV4lenyL+ zm+CRqi{n?9XJ15FJ-co{IeP~xqHKDPqpJVuspKCEb&!amfSKCt^_+x=4=uzp1**_Pwv}3@4>zI>_^7-Qbg5VsF&)s)eF`Sd93RF^ICNHQCF(#*azjN8tgP}CmJwvPQnRInGA`0> zDX}RnZ^y+}*ArPGYMOg#Si zLy3%oHc`Xb^zO5pj~cLyLoj^=aFtr8j_OP9^+*~miBdM_?86nf%!OA;#I;M)CGguf z$@pfdllbk`P5SLWxbPoke2eC{r8&;-5_QkAjQ<4k-OKTJGGqmlGx3Q-SAbq4OgzKbm@65w~SMllss{sK1`CKFrZQ6<8$B@;Z(wAEHgW z4u0}o+oK5dq2ifw-)Lxt8!wU--*arcviyrV+fJD*K|c{JA9!L;&*~Rf98zj#jc~pD z&Eu#qG_0nP8MgH_c+|)=n{u@X=8HC)WK&KM+y*`4TUIE}tp}2orh6*zj8KlGk)Llp zt7PPiO+9*kFIvhmgosZB&jp^5>xcMgXb*Ze^`Yc-txlkByc{uGJc?4E8%0u)It24X z#j`A)ikrWx1sAs|vGa$2s-CtNf#;=i!|b(33LDp%U|SB}PtdaqeGs~`l+$y}$lU!( z(#5aNw`jE$O<{a3i7d9=9yiWJG)Yv073u}!%(b^Z`o>Nrmg1COI{jCaO^eZcWRcDG z_95eXaoCg-go%ds7K##ezY!U)(QPGlzkjyc@Teqe;toGeqxm!yn48n-43w zF5t6%h>MsU^aqNwe&~E~+j@JnU}T}ueXo`AZ8qKagv#|9&3E7BGOmE>C+_=p>(oOJ z8gt*375EMpzSHEs*U9)VP$zNUcQxt0?{?w;lQB`dowE&b-+h?-zDLIQf_$HH{MSa^ zcTc8QgIg5DdBgUi`^jvW(I+ArUh`X~4MD9s=@LwDcc9yzun zHuE#(4_#lJdioCsjb@ynS*Rc20;gx}InODjruD|JbH;2nnd6bR&4*E+0XF5DZ>|pC zzWaw7x7pncve}*>0IZ|qHcbD}gnSq$!WTdJ%LxVAgAXn$XMbE^ys4Z+ci-TSxp@$( zi@!qKx?O(bfXT;A@XPLanm;t-n}1j@oEsvlcGcZCxGU~GiamV8H%dZyCOy$!U4e(1~7svr0U<%|z zIcNv?0GAevv;?#}hS5+CU{WK-^ zgVH`mYZSRbe@)SnzsvXmn{cbsll$g2A8tJ;v0!;LdO4uXbHfrCuO`5x^xm{-mWCB47nB3ggns(!%-(9KD|?0RGSCiF*MPFSJC zEog^x^ED57_92KvgE^w&*XeKz%5&{y?MOJRR9^pX^uP;8O>trSU$I6r6F+WB^*V(> zA4)qc(Gt##-h4yVK@@TSv;Fv!ubbeVeLc-z&GyW147D`OgJ6MM9Dnx8>%T?9^weK^ z$m@`omy7sqoBQRwoM>0hs%O0Zft%p;CoLz4@c97I1a2OZ>Jn;|$-O4tx^K=$D8TC( z$<^T&z$b2g9fPkvq||QLosI z(Ey*|y(ihhoh!~MH&$+Z>x@umdLM?`UT2)0BUPrvl>@kC9G7$v;9yT)fBGEle)41V z&ONVu@$skCXgbdqG=C&@E)1RlSQANmhm&X@1bz(S*uU1DiF2yL?27@X$sLDvM;Fd1%OEt84WN6;FK9w zP$~7jrcb~h%4mQcS&XKo8a96z-|IJ)Cw56NTu_fW6X3iqohg$$gxOqsDhPBcDX@NzNVZ$-C)*Dv3V>fc^VM)WB(mzRs!-wd0^%ZZD1xCPN2PS2V( zZOw;o6h@i(JsGqt9um>&JvF5?}#ZKiPKO{>p{+$d`Gc$vEvS=2#~ zD$rI`eY7W?&tL{bi^zMg@gq}dsuAi9qDGA0KrEawI05dx zWdlF5Y-0OLZJf#{{j0(^DFtZkoXsC~zLYuF{3DA#| zi@mw$fU^FHnyc2lRgJFVR-F_B00s4~a9dFOwiQsD-+$wE$ zylp*=U*qxJ14IpAylH#sVj}A=)W^-A_p);zp{$#aq*iaJMpIciEs4he>V)=;fIH*HB{(ko5{jO^ zZNu_5FQ7$ydk&u^dc)0o^sz6`qUh3*C;$51-Dn{%7xBi`6N-<62Q?+{Lo%bmU2|XY zl?Ce#p=jS7pIt;7ji-hqQ!JZhoLtqE@84uc7T-ih7?NdMPgqw}J-eH-)~JtNm<6zp zwiiE20kDpnS0dUKHg{@dykEDK)V+UXwc#R*HdHY;3htY%15FQcHcf?5G>yz;w7}?T zKnwJ80L@aMM?gL;CP35y_~34t+asH=v>@a|Ip!Xt;4WEptq~*vn~(~I4$EdAWxzJXB&0j z@EUNhbJDIMmCBucH=n+5-N`21H<&5Tokss0cwM=y?Db#g>^y-&dVk4-H(x*N0_8!T zaA)80k9YJvY%ohyJpK{Frh{T6!nvdBJxea>XJnS~{d4#&?wcRalU3g< zTJgvM(_Xt>^Jx7#x7$DC*JOt7zF{+0MrA33`K?=iq3Zr&5{?Wd7<*!-*k&ulhD$FBXIa3TJBflXR&yoko}H(zMCe(%xk znB_<<+no4V#-Hf6nZkv0R-fTrDbn^mG>zo2bQ#MRSqg5Cxn21B7sdl$pclAHkRQPK z;P%0-0-a%!&!V*cbVaTC&@4(p8z*XLbKzSVe+Tlt%JIcU;RKi$ z&i!deXXk}a?%Mop9Xh1zO&+*t0GL0{9eJOOMU}3ZDG$6bzSbBGa5O{%;C1HAi@4#g zBTC+&Z+BG8szs@Mdy(n3%?p?N|LTso@ghwo z>1R2>+;e&+wg3A$l(0fNc1QMGMl&DvivV}Py>seJx_ ze4TUiE=+PBQD*1dv0>gdH3-%P6(6U=3HVxsc_jS$M}Itu(t^1??n^w->@y1xUE%so zs*Dc{pj(OXpr!GnBv9Pk9>6Pr*ZlfyGw??wUf6xs_tZVcs0H~7vkU7+Lc?0x04I`J zJ~t1u9qoVkAJ1g`{;zCUS5z༄#kpWKhWc}mTr*L8Vc~n2+r<8dK&zsh@PlWdv z&Ps6eP<{W&Ge|gp^xZd}f5aGF5qy@TvtXY{^WI?D_bB@9BNu+|yB^J9`e;crHluP3 za?5Sbd-GvPQ_-q;>kK}txbY$yr$Dshl8nFCeF23pKUjSf`4M;ZTQ6W-Kx|L@@D!<(OF{0l4}0&jk`E*+{Cxm)2)Nd3qBickx3cZFJ#yAkJv zT9GU{bQ!rr6D`U^t<`e$M@K9_(GhAxn66M;O)f!`GyKy~=yHvdsB!3TnDi+RwIgJs z5C~idXEJKeJaJY@=(_hVtzR^K6!Fr#V6_zD1p_-xjb*5iBbK(Gp;nWH~lyNdnj~x zo4$W-gigQL_4c;iKR$xdoG*F9xDb;S&y>P&aPvyCtUpu1xirU}$)}ZsZ#sS1{o^|H z1XQ4=Nxyl%B3j!27^?2RV#n%>FCoOsi3@-0d_`oaKP==cywJJ+Qg>#iP&t5vG z{BzRI;~fqiMR~MgdM6PayXz&Hmm`rhfItv2;`F&R_?K$5^v@T{!h`oA7cUpH9%m(X zi(Qeg&U8MYNCPiyS~d2R>DXrc$SbYnO;aQ-enbbI7dw|7RD@86jgR+y()2zojN2Zl$IXwX zX*@ka&ah!e-dh?m3biNmCWktZJGiwz8t@8rBw1DmN_Nb(3IY2>=1^M5qNz?p2xcPV zYf|JknbE-S-2@HgA!X$)SPu9QB4XG^WSAwgfYr}1i%tVp0{x+$QLH@hM=~1tkPj*3 z3#{B!nv&lcqMQjVrIY|WW;!1*8ngrT!j4r2lZXB>Y$dv(UY4?a2+@%V7U%^jBO%xL zU)!Nh+A>JemVvDwY^zC0ZT|mmhdOJ`Bx}vU&$flS5YoERbbT9vYF&v$Md%80cZIsC z(uN;n33Vq~awvt|VNDaL)kb=!5DjK8-cIOF!O@o0|yO&5q3P<^K8(JFwNFg}DI zb8P!mNq)Y~$j;=5v2jyyTwFb&znlvpSt-A@`IR(UI<9=6{p0)*)8?05C}a4=H`1Q{ zD3@`)Wa(#DAWFyeWA>qU{-vzi-lzN#Uybp1VMM>>>g0U$Pn)-(~;fykOYqUa{VSP+5eQ_KD~%sngyzHdTLSF^~Y3U~`YFHM_sp19lq literal 0 HcmV?d00001 diff --git a/training_script/Labels.xlsx b/training_script/Labels.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..22f5c5360574c41361e4ed53e6a9222831c5d668 GIT binary patch literal 40774 zcmeFY^LwOQv@IMv>DcMmwmPz4b$~ z-dgq6Q&rELYmPa_nDSDfV5mS4Ku|zHK!iYORr@>_z(7F2Xh1+HKu{oBLUy*!CbrIc z${zM6PC9h%Hr50MU?3EEKp=qE|G&ro#lOHrnu66j18T@NyZ{%kYbScT&%gigbojscNceAGy(&>gZh!$U^h*3SZ1iDq zGagY;%1uDLgHYMmUt;4+Q%oTV&SnoeE}}Aa5U7}6m+$NN`sTNoU!#Qgdn{E^$f(@J z&2H79sm~5BkW^%jDWVQlyMsusi+>jH)5Rn`C|tYZs482_@}C~{H zQHpUx(RtDXG>2t0whSL@fENXoE~-Q8TG;b`B~54gEvJ;6!t;f5N}tcAqm4QlnyuD& zk6IJ{dBRpvGUv3YGt6=1BJ$8Pw(k8coY{l&=1nV`HL6I&g8axdEjB`$_s37Ok>%!R zw#Ohl^g!k4^;lpOe%ThFVE)e};Wy;BECB-oVuJ?)`U3c6+^y-|>>RBO?d+^R%V?FV zjody5;=AwMTNuT*ko9q~gs{eJ$t+>LTe!(8y*PDJ>mU(5&qxSS#7OiOZSfH3cjkV&wC zG)PGBAV)0;3VgElDjV{x{nc{qk@j>Kjn=6BS;kw}VW5D4fNwypeX)n&RR=YdlofSF zTbJ}@x9iTkju`B{{B1`Mb_&eQ zp_R|6KR_A>wjRhZpx@uIjX7=`R{Np7g>iHB4+a(DIVpaAvlDqWasT=XWG0+;K)X5a zn9CaJY5Vd>u9SOv$q=N_a5yv@t=9PAwD2~0$nYSf*t1aC^fH`T;FGhC zK(@2+^X^Yu?&~nDhG5|EDC8)^J>>ouQuXK{ad=5jziO`SjaaB6&hN=g&bB?G!2LfK zMi4TP&L0USvcZW0enh88`87w&cSd`G>P+@`GX@pEZCXAXYVruU3dvoJC{N^*h70=$ zX``yQl@-$Wl^{V2;3W+5_n(Ic%W@I%fI|Nuo|}*F4!C0_`4*SuvnYEWtRIsV5DEuB zr7qN8k>F(N2_{TTX`MmbXh)wkZ4|x-6+$09vtqm`qk?yb>0=zYs9W8<+|A_-Tvwhf z*-5Ov43z1Jq(fiz6NujKhyO{Ufey4gV=uoeix39rS`P4%QM3yWK@o&{9Mck7Kr)0o zvY8Hwx`qEAj!KTNB8+ItA)eBIBvjI1DpZ}p&I?W`O%pmEY%J%}DAt39Z0$xjw z@T;JAyk&z>11X_?3fw#1wqpzU|)>U zfoPj}YEEv9Dy@2Mv0%G?VU_ENPd4ohnurs3EjgJK?N)T=6-gF)*}5wa&$`|xrA@!o z_M9jjeH0Ys4bCh!&gg&!J^u>K;s~5Mi%w0Tq9!(e!#>40*~tn4Je1pEv=i8N0BnxIL3!X+3_nsy@k2Bj z7eChK{46Zz(M%?L`U0W|3y2+?V3)vcKf?KVjE97PN6_H~INld%!xyLs-?*?sH{7U| zH}#JNrJS7NS!;2uGS}rx{zXP6HbI-f{czIxw*)U^0Y~Gp)?_lA@1nY|cv^m-|5VY1 z{M0Oo06Wz%KtP!PRneWyO-!7f=>Pi1@>$xmQf%T17!XIc^&GbYu66Un3BXpX+A}vX zQnfEneL@N*K@QiR>)JNldMHJl9ok08u%#eBdSuN?=1(rw4~BE>1vEI>XII$Z70GCd z4^3^~UvD@v(nI50r5&aunb`Fr7_RoFa|=NC=?$gAS@`o&ot&sm&@@xTn~Qo4C#Vzy zNsT&tk-t6-BcqXXRDUQRq!_K|sOW2EXc8W@nAg!1LTl6;tHmo?BFQ?^7`z!uQ9CG7 zCu$wQOz62TQW%JUBU@!CJ!wW|h$aM2XC^vyPW4?8J31KRa(d%F%F3pBzDFw01T*(B zaYC3#)jqAg^}^6(HA*hOZ<7RRM#MeU3Xx5z4u)Y;wtVL5=9~!`uIX=og zyffHqrNEq2tsENFsm_}1cbPfiy~dyIcQ`)`dRvYz{4N-rtOh~8y3r}N3*u3NCguY2 zR&YQ-Hyk=X!fHf6ehr6AcI$~_$91;ZA70N?7=&W!Mzuki8)tPDyea20MRW|ku$SKi^vVLg`4F1IcO?Fy$kM3|}Dq$$EJBjl*O z0%@6*3yjC7VzofsLlzA(`3~h9@@b^hN}4UR?G|ih?G8EUNMdMP@$_kS=9JM{#xBIc zg%M}67I6kN8pUgcUlP=rDK#8C*ZP~{`R9L(#M@&T-QMM4UWhQiL;h1<1$gKmSOD@0 z7=V=jC9hcj%BxfzyLAH8&@1u_KJ{)n>(>hkhs8Ug&7mR-y@v&|2$gkr{zTRJ_ZNg6 zl5FM*`EnI&1P^?K>;AFVUu`y7cm|y%oBbk6+b-g2a}}3Mun!{-FA_&w+B-G<@E4=~ zK7<=xRJ^`vSCn3RID)~TFnD^cIE2sX$2X2bniHjsbi1!L+FJzxge*`8!BcOP6Tb@V@baoYclE-n}YQ zvy(z$+2ZGFsf!qvuQkDy8S3twhv_v&ub+Ew**&wOR%*0kJF=4e{axDh{B+mGz@ftF zw~r`e`2)s=%0rNxqQD1u=pnJ{9TN0zB^u7iu~WkzHafH$+p9LHMawsij;Y(lNhjE} zU_Xb+N zj05Z%K}g@mXu9~5c9-;A97rzckz+!O#-7p4`KtGqq-|WW+Kja9m0yp>gw*N-Hdhd4 z7>#QP--9bdqhmO&-pCB&5%AF{$lFhifCAwgsKQLSYd@g6qEt{paHuy2qV`SxaBHXp zvOM$eLALCO`cHJzgkPcdHRdiL1Pz76SqNc7IZs?c37ZIuJoDd-g=a1x0y}}}wwlw4 z1_d~XKDSy34>IDT%_LfIpr9^UVXwvpjMN4_*w}Iq(g<83#9$JG$swta=@S5#s#BtC z0}@=iafJGT>TNg{IOMCVoPSDs5|aD!TeOqzCU%8-zegmG?DDI{+j~dD0iz6#ABn$k z%8ZbYAupFEYHgP?v_D0Tm5{86xLut6>zDtQGnI17+0G*$pS8vxN6pEaKZ?S~!kFzc?rPAIg>WDgyJbA02 z=Y{#-{A|_#Y&9_bQP;7hq6j@8AUO(kRjHO_RtblvP>IHaP?+%QB+F&gTE=t3ZcrRT ziw-;e^)t8sM_w0An_}G)FzosYKU+I~wW0%Q*%D)XrPl6uuBW^HYmARs|uVgaw&2A%UgH-ya+!B=*A3n>i z`FJ`cnv@hr*i$z{596zoLQ34^WM~*Rv7K#ExJ!x(x30N`_}f>e(2n29Y$Pma8*q7; zLTn@B@Ed-_Km6)VbM>F8z{P94RE$RBsS7P@J5h&aPL7A4wWoeicS%fW@GCE`ziMZ+ zg|bT^EpmhrQbsGaCO)Y*sBT6avn()p`_;?slF#Z4Q$u+BzA{;6&c%Q3KKaM!i-@ey z{Pc^ecta)O6(l{$f=B%I?_C(W4Bq$g1$(Lxv`tH6#uoWLDvhRp3^4I%gAT8~ePy9-LR{M&l{PauZ%o4w}uh^2=A5E}(`A z?OYAoYUmuFECofrFESfI@qa_qi>1Ho==SfCEHy^sTzbyr@H6!Go0*|SDl+*+M2pWZ ztw14;IQ?d>eiUl1Xsnopx1zm&5pID-&#L#(V~38#I$g74;7>War`(Fg+c$SIzwvyS z#Xey$14p+b=l0Y!1dAS(Fe>})>_ee9M^+82i|Bf!eB}{M=n-AW9NvIoyl=P`Qy;YS z7*RtAH3p8&cL=d(2vJK2G4^v^=N@G+i-Sy$g=PI3*@p|91k3KhL?Z@)gP&S?!Lv?= zxB7!#_|l^?D?`PHUchmVEt5N}9zFZC4*Yyw)|@uu=O!=$I)u;uR6Y$g;oafz-GjX{ z+CN8WV>blt0U%1zp#L>W+5ZM-8gZGQ;EehYH^CMPgBXXfx(%|(g-~(DatA0`Jvu{E zwvo!84mWG^b2>`J2E~FjtjCXU6T8M=N=up%f?>zk+G0v-Y!aIFNo`u3UXJ7bkTla0 zI%w@>G#T6Sp&0NT;PV-a4d)KVB3c9pQXk#Rj?=l|Dx8Z44Sjbh0+$b8TOrO_ZTN5Qb1Yom@0&tCb!|ixgY$RDr8iNl*F>VJ1t4OT_?1|j_%_4mn zNMsyMrKc(pn@Y;L>Gc$c&T_&_6c~GhY!2^lkIxv<&3Xygn)YPsq@{W1X*_yixf~He zQM#vG@0rH(JNAxwQ~~sgTQAMQ{klKBkbZAdvYibrob8?Fq&U4y7oODyxnRnH_{ES3 zG>VfsG-SyjH->L;AefF>{#l;-kti6dqKrjLg~s479#S$oLt`YL?l zN}jJH7%qh-s>xd$PLW3h{OwP_ZzeU3Lym)MBSA;xy1^nfg-Y#1kKB<){-sZFrhqg* zYS_kP7N~VK#|wI`PuT;f|EWfvANS9BR6b0{=(nNgP$15(>>VpX%qfTj%oixa)-XhK zLDVls4EIPN2Uqu)f->Pr#)v`nafqf5h^86w?(hEk=fuG$Uj>b!6j%rVw+P??voG6J zL62s`E7{-@haY?ub`%{Pkj5N=0_mG|6?-Xvau`kUONN{ASWmKR2iaUcIFXJBG>F2P zR;O`mVvm-=gN4~AJUqvmKx9UoJV%cHd4()xIDCy=Z1soiPkwHWrEd2_Sp=?Zlnykg zqK%+IN)>JS*JV$RTm?^lJ+=fhysbn4y0W0I%24*)5rnm8PS~WZB0XEcjLqv{mzG@8 zu5rD72OiY4ZEt@G~%vKDH|VEz7McWHcu#RPvDuL0}tN^yjXa4BifdHW+-hrXIEN9yWaU zwiroYMLf|2A6iCAQOs4!6=fN`r>0_zoD zk9>tD#h`tqLidrkc0f{^Cv6z1(0=*YqksG)MeyG=@G6)eUdf;haFjW*p|W zKI!M%O+~G4kep1u;(M{3XC0L48($j=@~lx``aaoI`s*g=HzZmss4NsRPo+ja)j;9( z)nIc~&GI`sAWN9T`$?f7Fos%|&Hil4_iYEOHSqXU9qPTF%BkYTBA+Mn>sBx{+#aU< z0aqsRKjvurc0`-Zq6htc(D#eVRxDXfzNF;A&o8|e#^nlr1J01g*kOD?#XeAsdU)l? z22RHiSf38i!{mfO!oU~>6^`hg_8{rY)RGHl_)7Kdo?b$8G?2VsT47D0@7FpH`Plr21|DdFB8Rpvh4Z89cn1KzFjG;)5- zx$DgCz}UXk%RhcWJIRf<=H5IkWZ6_U30fGEri0e8fpeppNg|>xDH<4OaO_lEi;MKg zlnKHbk^Beog=HZ5V)5rYZzr&^_0?JqAhltEHlxgp-KgVa3LiPgeBSf99z5!g1FSC? zmWRnAICb0sKOcNh(tbS~n})Pz=uJ@ze->_BQ@sS&nDMuBT14^@p&um^;-e%V;~*iLWUl$jD4ek*;MH|mx1mdjV{K)1f#oaQ4M?bF7eXqh?ls(QR1=o# z6vBql5YtYgC!t9~B335CV6^pte|`qCHYin&Vz$9Vl?pKvc3Scqj!2f|Xeq2$h&OI7 zYwzeld*mwkN4TJ0-|U>ZrQJW{C=P}1BpzGBjK^yHUcVC}cV;+E-a6uwgaD7t6DwiA zCOYi0lQ3Vh^1xvH$Ts|~E8Rnfgr}ae(zD5Mt-TFP{{GyT3-)u-vq5mna?d874;CNY z+$rvT#UhJw#UMMG)I4W}8g-L+*>$d!HZM0i=b*B__{?GCDG9+kU_UUph?KOQi3W~O zti8k}eZ>ll^sN#tgb<3WYwygV^nFG38pFVZWh6||=de`n`volc1yfL`vw`sH?@&n) zH0Ygj_OsNsKA6(_9dcM#H7A@ZFL06PKkpA?EM(7HXn>qXZr~`fJ;yb$I3RWX;0k?C z15L{Tf8N*7m4ZIn^*5@~JNZD=mm5KOP4U;?hJ-?C4TQ240K+p(3xU=a=tYQ~HoOl^ zqleT;>qQ%UMIYQCh{u6LB(n#vZw0S+7sy)$G5}FSe8$Dp>68k(HXRse4WJIcMi(|m z^yLr++ylljO3PCwbC4FgTRgUQv>;jpIMXg zKTQdQsH#CiZBnGTqSOmg+K^V?k~>Ug(d}wwtFEI++@LrQ0Q~skc$mq$xR;Y%NVMgb zX#NU)7EWsOA6hGXe&3{znn_7)VYKT*Y0k-s&O6Tc!|nzj3s+ExXywfZ`?sW4$zq9b zdCKe48d6wxD6wkmgSEPygnvTQ-ATC|y4T=vvX;cypd$N5K~PI&B(eVd!fH{3v|H4V zd_;fWh=$R`)gw|f{CYDZ>!{j7P+yFeET_59{OjB5Iri{Pb71Q}0TY5~J z9->8-W9d3YS%FnXr)~s3S3}6->^YZL_OZO)-2?GOh;DI@t4w4VZrUr63BOYHg^2RQ zy|Dmv*q3Q0xS*4*FJzIQbe{pgox-qoLaazM)lZ`-eF-XA5#cP-b`mfzcs1;RUy+Qz-oRtD*VBS1s_gB3I zd}jy%@Dq^qE<0d%eU?74rO(#}06$Vu#c$OSqlCntz|S_ripC+u(X~O}4XtIULRG#X z1<<3ITGZs|^bZh_5kwjtl}sU(r0~65>b=MxI|0qt^MAOelv4U4K5z`b3;GH9^8k<^ zPXD(Pq-Y<1#ArgW48&H2IQ?@_u$7*5BPe*nJ5Mkpd;(!30G}Xin+wnQhe%_s3~$1rq886HpOvI`M<*zaS#wS`$agxx^WTzH0CRaGzF!oh3*N zwSzH5z|{lnhI^}np@ekd zcAjyetCXKA$#Epc70-kzLg`btKYA6BN*bCKOvM+l&G%e|XQ)f!v!7cMUx!zu?#l#SPwC+I%RDZ^}b?tj|LRf)T8{8dywt8 zE{GpXO)%-L!a-_i#Lj(VCHd72M1f1{0UwT&TpsdPqoj`T=yI91!tV0{gNcjMJU9S` zP5j&Eb+AheMLMg?Uk+&d+Mn@-yeJf@kF<6H^E=PkZ;QwBRL`_K$>6*s1yX&k^*O-s*+o11Lv(y?Whd!o1rtgUNxRhoYYiq<1RCRU5jrl5mpNg z+BK89GS`vYrGS%HTo8;rFR^S)N0^02W+~*-c z8W0I~%@OX&j-kFwgyDV6@5-RpB1Wg2`^& zS}*Fh>o?~O81Wf$N#v!BOxwQA*hDll%4Fh%Ja?=70iNzGy?T{8b#{iTsdxZ)zbvC4 zoYfFFPdl=CIH_7BdsroFX9Fc1i60!ioT0_++vEEdiMR zN`PbqKms88{|Ai)0Ro07&ni&~NB|ZaFSlrkDiG7=q{fW`~jVnQNR(<*nvU2a`Gnbt#dFEgiUTkG_0S356^cQi@S2hbIw~&Pv{|@!7%N@?OJ@ zpuwt#=Cv-VhE*pytiqEbBbwpLf^5PA#Ty2T5~Abp`6a{MXQHiyogyjmZS#3I) z6zGQEyN!4L>ILGRDmzi-K>o~b?=IqIQ+J>-I6mbxs?mFmK_s70;M>E%ZW>O3M1q8a zV_xg&%{;d_ag6c zKvY~hbtm8n?6QNGdW>Lpj9^`TUxpz%{Dy!IGjoJiaL{czs6sb;48yk!!>zHj-53>D zdeMe%X(JDviZS}c4M5dUkI)#}9QJh+z{W=PA4V=L&8A}|#9Yr|6S%jiN=;Sxq~fz1 z2acu;szuDmtf7(;qnc@owRe69~ z@^7Ka{CBAS7n+a1LWzY22ClSjDDzS%uUOmS9wu1=DQR|6SMhm>br5PUN*I-lVEQ`n z;c@P_cd)ChwiEy}=AK04_KP5jEf}L}wdCZb#k+w&MY)yIeh4R{K#giv=>A5?@nBEn zl0pTYf`v(hyLfG-nRIm)`zNKH1t>Eq2CFIqs+LxB;9h}Od5!h7!;x!@Mo_dM&9M1( zgK=;T=jw8!f~fEe47GaCM!jmzq9v1P&G4Sdwk%YwR{Tm`Wcjizss?LBZVNnyyOO{r zIeYIQ7xbh1^`Gf9IzN#LEF|q)MHzurHmhzrz6N5PB;C{YcLgR}eOOQZXP{3eE9GFy zllF?}s7J|qE9&$D`6dUA@)@nh$*xWJ5M?ChRRZy8mPC`2IlRE7+ud{gxbl^KJTb5j z`mBOR;3q2W<|Ct^Yl`#xQ{Ra~cLc4?2>da<=N=XV0)@DyLP3my!6WAkT6G0#wYL4; zv@D7sVx!kk%Z&!l72KgeIrG!VB7eAv}TFrNLd$zh#HA_uaQja{=SSUi!TH?FIEa zc84xd0G`Y*2ysgYid%3;7&LHfo8SaTztIi@&tUgUm+>w82KJ^WlY+Ul8O$&}r`mDAJLu_E z|M{nx?SFQljEl*$&;XW+2Oy6BThRW8I{sfl3ur;p5TU~B)<|$%=&4kAHo5hYt$>x* zIjbtVy+&MRNu|(K$NMIF0Wpj9Wo#gysv2)Mu)))^FyBh6Xi8o7?9amcjSpwqN=kg| zl*5=MQs?Rq~JE4YS|T&J=i&~ za>n`4VH$PgSXF2Wz@WVHQ4-w$k>ZAg)1^ei5e2~EHz`L-FAt9BPjsG|aH4WitGy4Y zefr3gyO5J3TbMHa=@_r|^CYEp15{K|Nrsku1@584%}Hcj0ltb27-~jRhx?KB7>Di< zv9QR2-$|6x0fD=oz)AVDoJTBvuBVX#PGE+US~pJamsED2UTbm^h@I3^@&zAK`<6IG zD&t@=GVzoihOlvb0?=2_R13PgL5u#?t-wu{4TwrjfqKm?_FU;C>CG1?_MkL>3fJ;X z4(>Ef*SpCYpObSZAScs+_ct0jr9cH(qX~>hKA@Gk7hqy|egkeqqbq_(AE<6J_uW>s zpn5k%{g=x)18)*x+CacXAa5`~is+~vQgl}k;yq!on4niOV426&yJ^8a3&v+TqJNGT zT=s=2sGruVJRt@JuZEu1GRgaD3-y=WDV1sg#7bidGc`Shh17|=mVMs?$8m{+p&8>W4|Bn4`y~*)(>VR7IG-ZvlclQePrAih2~<;SwdJW zt~0!cy=ANnl8a_ypr>GLxl*}<>y2Y9)d*>3BPGTv<`*G!=b=~#-Jm?=8OY=?A{~5h zr2d(~vDhiVqygm57eJT$Z~61L3Z9|^aF+mRTK3fs{#G@LZDfP|UcY(9?h~Z|7c&=g%1v|5&Y5X$< zV{Gjmt^v~Ou?cU&4R3LP2>ulyf^!Q71H-W9rgIZ!tTec{6Qdm&t;J&#ahjl^+mAJ) z+hO*lKP#zd#@axthD5C`z%X`*1s!=LB%;YYpp}Q98x#$KEKR$K49Hokc*bdmtj>31 z6*mG%9Hs9e?g|AZ3dJ|aHZoXS-{T*cZ|yC=F+Xx#yU1a(0?z%&?+UU`jDNXHxZWaI z>+L;N+owM0unsh$abZ0CF({9Hqy*nJezt|TU7^BG89H{TchWbcKaG4T2zhJGiY78U zjQO_hBKBM2jsvFfk2j-O%~ef*k15k642MB_a-TRa^D%{P-b`a+IaQt>IOnaJk(_Py@W#Y7Edi9>2tu=DtJN*rYO-$VaGUn#>qbZu|z2*{h~4e;Hq2je^0T$mF(|2 zc54inA%7c9*64a&p^73BmA#>=F_KGcHoF{f>oNw@ZSocuKDw93{8MU>D}{ska-DQv zNKXF<>Evg#sGgDySc@|z#>|9RE@5@Q)Z=O!7~|Q&=$?w2J}PK>XZyXzUpBS1;85a$ z2pTbWI@HKO)f*C9*@m?z!%uu)Ti6g-u8OdUIS^?nuMy`z4PMY@Z6zl;LJp;qB0Ug{ zvZ2LU7K*NF1^sX>)bz?*+(Xu$oP2A>gVJg7S1*@r8$pOvpiRtlDTLQkk$(V%ZR7s} z;S2n&Fi4vHU9w!Y-@HI2O6z&8W{&)qYs+R zlib=d_-UVMOcf35ohN3WL6dF|xR{s?Y9I~4bpOzqe?S9s)`X!agFe?j2OY+CMJ*(n zhWVSxn0K^9j_cD?`N0;i6*2xu^3sFv9)vLkVpUbqbss7l0 zPUPH{FLx#wJGBsK4F~JvKJzd1iq-50TPcj+51kTF<6teo!H|Q)`o@j|xpPWIuaLCq zKsQrf)Ivz#`QO`^QMb-C zwT-XaPLz2$0frsC#$AZ{Awlwi&hLYc$Ki(H;X4&1Dt3CCSMeGcp~QXTu;YZ*TCe1o zNDP|v5W<+MymngLFBtF~jC|}L!%Z*|m<4@56Or1F4&>)WHIM|Tt9t#~%&I%f7LCKT zV}=Iu@sM-@1f~g^Qk>|5i)G@*6*k@VCxQ76hH^}^gVBqk%P{;NsLV{%dQglV#MHps z1Lqfe1eGLvYVsOn{0fbHH|h*htJt@$eOsEXYL5oHO@Z!W=-DCcs4sH#t}D%cL!(VA zI%|m(NA^CBGa0DQ7J0n;D%5(jBxUzDGC3b85bB~Fn`d%F_iD`Pq>z*G{4{nV!HdJ) zj@y#OcM{^&>z+qoAre6c2RX2vP-CuQaycFr`EJ5u02NrKWM^7c+2_FcIuf*HtQ&4p`4+f6^ynQ?&R)^& zm>?!04lzC`I)g2b&ad4*Wo%ay_Bzwd;7`H8k>=<&MSqd9>Y4i>Jdom3}x^jn(zVxto>i%;|wgJ75q}G-XI7);RzdpTk(UMwh0Dn2?yEclge78mV66S z?%)|(ZOuXvJq+UXFMI-Rc-Bc1VgJY&h}iV_-6qNLf|=Q-9%x7GRhwx>gAu=gXewYd z4p+G=F*q@#8SOxu#0Ey8c&zQ=y+sejvd)#8TWI3EA~ipBF-D`=xeScRi)jJ)dHNqb z8&0TeD>y=#-?J)z3NyE7GJpIdKR?SfgL(uAZj}FppZ{BaPWkV_4d@Gy5edic^7bLo8!8Q=S#eGXo*#s#W7f zh?o5rA-i)f#a*ru(%REOpZvM5pS-@}Zra~|vKEg6hiJ-fG%3pLc_da@gqY;AH-@GM zM!`_GqEXAS1@3KhDktmiydIG{?+5dptNiQZ)B*(Tgz@HF`L#-JA* zWzTR9zgNEvtFZGh+~>U3(UTjtKkLk^JyGJfK{JVUUKcx#)R@+)^nF5p$5X=+`GmZX z+k?&3nU{{!ZwV!?_eMZ)E)h8!VC?Im&7N<_YIOpmeES*Rj|kSKdgJY_?8kuhD#F1@ zdtIWe_jHM3QrQ&fh$X1a#hCbN0-zqF!R+}kn{Dap`ZcH?rvf$?Hz3Y51tN5}*taJX z3v#nR33|dvo1@Y#bZz3Ww$&$G%j0ioW5DTswznbEiE%^ojy}0?n4S*UfMD(rEBNk{uC6GpUFsi?R_n)Bmk0K5Wq<-E6 zpvJlEMnVz8f~Kf6Ucd#tVF{bTP+g&xeDl8oNP2eE+{>@)a8C~Ga5Id|c4~O-)q@F( zf(mZj{KtOZGb3>_N@fKWS~}yHv(>G+8?&YUR<3ONAHE-h_?`vYes%eKh0BFwTXtfma(3D0v@X^O@rFk$9Es-i0~^`Olo7+C^I!39_tT zXZ)(S_5h_WR%T_juUHapiJUL!D6a`W<{&IDH@BAyU*v()NC~_lA8Tf{lm4R6Spacg z%U-ZZt~q(xx2W7@y^fUR0vn!O7R>1?A8m=wSBq1AQW4nxrA7{mi{jD4{#zEy=4(tj zy0iqX6f*?V>4UeHuP~9|Dt~+R2VL|T%8*+>+jaEqRtqURrur7v{k5z*NALN*;*BaQ z<$LmrN29jzmibrOjf9>wX|X3`tk~NpM>Z|G+j4wa-+dZNFy|H35L9}ltd1L+K@zF< z*H=XETKeJ9VF%K~C>?i*7*McD>M3gm#E>4m+}{4{tec2dwY+AtU>&N?&shGY`JCm8U+Vm1)Qo|itkk%j9#2S zyv$MBLok zHGG{u{r-;tIma?{_#P0B?*D#PGyS8M${b!dZlI>4l3bBnR$L$Oh}G+(nJ>~Yte$-CMZ!L*^V-WWV!!r=-Q z`l&0$3EgR%68+Bb)&Ve6fyVqh&W!%@ZRg#9DX#D(0z>4|xLZ9Gg-_dKx8Di$`i=ER zW0`)Ki7Eu~;Y3!Uae(&xxS|Sw50&Fi?NVsf2y3z2+zr%c2U;#c_t}901{@TZ|FZ*C z56oMn?$!kiI4FO1paPPem4FWPQMh7KmA~ULK9wfA$Xx>|M@R(3{nw*U8a0i53X>;; zz8h)FK!ch*5&l)?$HbiWe|DfR6SCDj!72DYQOmpwFEqV(pXQ)L3Q6x2MM9d!C%BI< zKw6$Wy(&P{u#gevFHn6QAv=_Um>!^k&2a!8r)IiOEtnz_63hml5Ud3eM1;TQ0uFJF zF%Zg5AQ&47{1PZ1j~L1WLR+UbK@iNAg~0qpylog@Gt#MfwRcw8|X zbqzAO!sD@P0UXvNvk80fEuhY*e!-4PZp51-qtJ9mqqEF{ZRJA-Y?a|gek%v$)BXje zHDBYim~M3R1@5Xoq7$d(mwpWqdDLj!Z0*xDswdmQV)ipBNodS9mn|gZApprJn)Ol! z(_CDK0=h}1rj0U*a#OD0fxDTO(mM3Uq$J*8=!O!(nIq?>5O!RU-|IR3^VENJlPBBh z4SxTaEIX~m`{saTN%;4(o9S;w72u0r`y^}tzG&fY$YYcY3W>$u8BfOYjOI<85#T72 zDeK<~GA~!$u~H}I33@eGHZzo z1twUYrZAhwxqQW5gzT1+X|DYFDp;CUo1~c3?WXVwMzi(kM4!g!x@77qt}*ddzJ-Mq zw@v6zW3-C+0V{Sv1&4`~KnuK86IwzQ8TM4|Qm2wwQ>ZTSGGg1RD=}3D0!d2e(Q_LH zz!{x1qC!ogu@wK%2Mg_jfXvJ59YkEx^B(%QGx}=~Q?r?Grf;;7^hw?w+ef8wC!$pI zen|j1<%f~jZGpf~z6fx9)J!{g8vhEZ3R}z4tWUO^|W%!YNv#2@HC>)=1BcjMVonD|X4ixuh z&T*7wo>;1Qj%Qx8>pB=6nVR;i`^7j%(dh~l;J1NkSUI$fbhBr9MyA#s=_CvVX0GG^ z@J!iO>fE9G2D;h{{echS>B&P>2gS#m-7@{7E&%o~!wgc5n=TzrtG_?GZm!6kVi^T5 z^>=t}era0)X_|i6K;}WIoi|rGI{|4gVejKyr1L*cLaV2BqL-tQKE#egT89f&zcvxf zEk^qA1~j9lCVEkSwWDfA9kpr=ROSZ!*kr^kMHa+oHw6jfOM1os$M9T2TIiJojGqqx zW;OqXPh|RA?@ZIN`^)yJw)WxQD%ZQhAD$SUp|MqP4=difEi#b(?bgfD5DF5oF8PR0%>(aZPpKms;ckS8l<_W9W z+oq3k?vI~G$GNK0g1oL`Q(j+)8aLPY?%yo1z;qlAWVR-UB3km!L#%JVc8?3qWRpz) zW&9L2NCT76ZQ>PGAJ;Mrf9s}t?4roQ-nz#WzU8{wed{oC`88}V;~>>amKrBlszI26 z66{{~tHKX2@L5-hrUy@x@OK#YtuG-BeJ2LAACmV;IM(>5^|RCtkmb zm+hh7^qpL|UUgD%9_0b`G<0 zSt0LomB$2jMiBLzOdH(Hy-Cn&{Q~(}CbRsks7iSLgKST!!2$}5jw!G)CI|)pm66%9+aN@uspkd<<%F_?x z(8$aSTPGFe?5vcFmS(D{ESGN%x?}f z9=r=jw@&Ba%+4$R;mp)t9i?nhpAMU3p>b&hgzeWV_>L9%!Tdu;xBs_#eX zDcl{PKDzubVDfJj`~Tng%Mw+wt%`0&RsV%1{~N2-L8zrzRQEZNaqIW>NPn(FNk;>+ zAKYZJUsP$iSv=`SAlrJ#+uOP)@+v?O1gO~94Rw0qbyp1!S98Ss(}rT7f*=yC7r99$ zN9?Fu(XipT=A3`2apy2V5L`l{C2yVatDpua@KgYp$e2nRu^HglQU<7+PaG|>xV&Gz&CEV0 zGAuKk$kZwSV|YZZ@mGIMWB>#~8!f@#vOhb*C$}ijoeh6E+!)J6g}hmz zwf(sEJ(PWQZ_ar9c``r}yLm`rzif^Lk<+7H>$k3Y-j&0jX$F^zo$W(Jv&J2pFv+?4w`%CK!j%|CFYVA0I2f?8De#DlJRMEa-4}~hs_h=E29c8H@ zC*mJEgjNE$=Jgd@lWRXjLLL%cdm{0m*3XISMzMF~0%DM9-~{(%V!mX$-B_i;sq9eh zpPKMFeKPZuWpZ&ZygyP3np+-lt-$GkWU=X49AT^KUn{MjR)W~GK$0WDo*Qd9C9isM z2a;(3dcNqHRUif!-f6>H_Mrj*pYD|obklzeq8%MT)cbPO$`#oBeXQ5@ld9*h15GgH zud_jl{_=$YTi`F!9vxtrFXIbKl4U;BhGJoaXST{Noxci_k?vYpH-M=JIZ=<$UKBV; zaMSyH(`A4T6k~BqM4%@-%gO*-AX+vfLIQ4ZT9Np(V1Au8aekNIYU<*mwumKftc$5u zmX^9xj4}k{Mw;wtPoU;jT*$7(C)MSX7nt7=^UInSfsZxIW)7eLOtp}>ec_||`@ zm0ZK~k7G63-QK$Z!1p)%-+h1d|L8ln2}e|7J1wE8mz$q$2a)=V!#Z5?m+ze4DF?t| z74!j^3inu)vD1SF>Ou@aSS`i- z;x}`<8`M){m_}hqia$xLU5En!5-TcNJ$)m!Kbn0n}JjUNFRaz zzQUuep^|`EGG;xq=Eqy!o94GccgWuUw;3FgYP4_;2u~qiL5%qq43)w8VTvu@rvAClkTY~3GOF_8y{>~!B7R=E7CwHRL`ms zKK|C4>T44IA!BG|CCxEhi*KhL1*y6R*(Z%v5I|$?rUn`lM;T!BRz-^813Y=1f{oKI zs_ZxnEDwMB&oL<~vy0U>KHeEJ43C$=IHC1`jcg^>Q|$e73=h_>9buW+AZTH}-C7&F zrtXl$p$_&{-m-u$&8|WrNhUYhhUx5ZfqFxBv-sniAV{MF5YdIY#CR;Cij{qAoVx)AOmd}ktk zeV!xAB+*+wa13k=QV6Y8oC85TgXqESh>AoCNDlb8LqF&mHhM4E+=9xamoPO6Q>L@CFIUKGA2v1?|ss^ zd~J`A+p|eMvuE8%h(b2%FG)W(5@%O_{vxkqPtE z=J(eY<9-1F^&COg@{nKe4@D&>r1gbO!W9Is?>XwoWkb+8rp=|WKk(N4jSkkfMSJaBz7DdMrnR4W=>qj7jZECy*`@Vu z=i}hdNsTW?VxAo-V}+8kR9@VE!Z1+T^xww-vZcMhyT(YJVE z52U7pqeVkK)Sm1CA?d*sX6o$P{GuaP2>}Z7B_Kvv2B0)I5rBjMj?|0DUV#Bk?l>8Q zhw<-%WArs+f!D+0FN0*Ag)CX;6|sN}Aq0I!S7`OYcm7p6%ZvjVl4YX*`FkUQA!LGS zW3_sK1pWR~g5JNIUi2Q;3@&fQ_oo~WV1mmS*yJK5tFQ(eekyEO?0Y_5wtb|DSPE{1<77iQ56HqwwN(unqr_l%$IScN6x z^b8&IIdM*u@K#|~!E5L_IH@+jW;T050~GFFKS!2WGux?9Xf1y!MGgX17UW$%3qF@+ z>HU8Hg3@bDq8KEtZAUEyEbqH;S{-_!9~%eK>9HoLsNzx>6Zt!ENFjjqkKEX(#fgT? zuyTBaf3DuTFnYp|4bTfiBU8-k8@eHnGbfPiWveXXQmp2&&MfYHt~}vJ-Af_9J#q+n zNkWx{!%4%{W_^EdllW}lNv4TRtRzdVFj!cYB%}n_ZJPq8M^BqsUlfy&)5_gn%n!ZXlxRv0%sfP>dJpt4e*l{A{nxHE*JwBGQw1 z6KYvpfDG_@n?8S)Q42>m+!y2#EN`fjaUVLmb&-L6(tua*e;k_6{Erj&04VlTR{Y-{ zqyOd%{2wS*0208P#}fJnd5P2#l_&tk%7jC_TMuMn#CfsLCph8*LD)r@Un6Z+Qt9fR$r9k)l(8?N_7k@o(}HxWD8jya0KLnCpc-R6s`J!;eok z=FDI6l1x;Fmq~+;@ISi95s9NuX2_3W^Cst1(D5(|iD*zO`q>GZ!FUnSX zK&Fa6=~SaYIz=NExih{b_XHT2RWTO2Z29=3L-&3#P(ph{Tnm<%8SxN^9Bry02Y#Yh z>p`@;go&-nf1%ic$gEEk8!rxNTihoSnnZ%Y2Dm2-YArQ4_aPdS8~+4ot8CTF%)m&@ zT&+6*AlA(Z7VeYR2Ah(`4q-#Zvx;hM`MVaND^|(=U03MVjWYnoHUQlfVGa=p*ofVgPO6;C z1}d_#%fC{DRA%ykgid=-8GQVsX=rx!nSRn~V*f7_p#P#RNJg#D z!t-7vJmV2=c8fv|e;2FqHI#jj`Q#}_?EVr$ENXa?oB!Cbh4$&G=&Sgm%P{PYJIR_K z_0nS3An}7b71~t*jjb#vcWazpfX90b0&Yk)l@Y91u$SIJ=PTDA!2Bl%!J=9JXJClm z(B*YjNZ}}&)v3R8OjJQ)UYZ7r_J2pD!$vbn?fkeQQ@Pu?L1HM#mLX@87@PLqN41zKLGP*wEH*0 zWlf9DzIo}FuqE(^$iex9pQT#QM%ji#oryL+Z3bKcQ!Xc_0cXm-4<_zKxF>oCMsP!Z zb5CBTPO)%_$>FITp8K}NbopnpmJgnL(2vzFuiJt1VYleO22*0alT7*>EDEzKTWkVG zs>?7VKdW@>`&0k2lx8^2Y~(kBh3}WZm}ropis7jPHjo~c%Sfdq&|I!l)14gOp@D+k zclI9zvz%dGCE39!h6`sl`_I4ajwS@o(g)T_XcPDA4j=~vf?iGGJ&dL!NM0+1W`OiF zZ6qe=?T{EbYqv8<7dJZr1H4y!sHw0D~SY^pY!d>W7}Q zM*%Ci7LD^Qt`OjYN9>?C$t~^bax{~O-zN-_SjWp(*O)uoh`Zyi5ro&9j1vUw=%ewQ z%Vrr-xZE?CSUN*y$bZd|MzRNe@&0c!pVKojcRK(~m-v6dbbm7rR5Y!3Sdl&POg{wT zokdPP0Cbu;xstP9k<#@HPiG_$**MmdCIF~=f6?&f<$&dDk}CzrvyZI2;BvA;)7DN~ z;gH!-F4KHA!F9q+;`}ciAlTAj`5*?3M*r2+PUK@EPW|Xx*@llXvYhaoU}|d5Fo5hmC1&VM0e!1Y@SHHl94h?OjUG?} zs+{Kcw)bSKLJ)pd4vZTR{<|p!8zZ5Q8IOJ_I5e(3#+Dv8|1CKDH!EN>%TE*dQK2j% z(!5@a`WIPlR%9ACP273dWtNIaV?Pz@XB;*RT%%Hz*fDN}$RQD}bk3-{M&n}7ki)A7 z%h$7aUa7*MW%^i;?3}?t#&nIS@Kyl}h+H28gi{0e@=e!LM^9Dswc;JIGdB?BBn0K7iHrMiMSWE+J`*Ba= zKz1z{O>e%Cm~fn=;B1hu5agiIXEq&!^CtXQVdh?0s6Kzi>tnZ$7$ENgz;d2b(AbYd z{yO7Vv$)URU)LpB1N4nXlUco@F^fLP%DnzDkda~@yB0dYCBlmM-?7}^Y>Q-d>tj|x zj2LD1O@a{)Vkaw5pr5>oXE76ErS0j?EOhWpA*zD~&K^Du6LdX_>P#+Uuk@Ku zt0|Nn9S)W@xgI7eozT;aupleSWmeB`^sg_KFT<43;C#=ib!A1PmkF@ji}Oj^sFUG5 zun=NGUvQswF>w7^C-O{w!`2b?#^ad6CF1PjAY8^=o6&-C_Q9 zwZk}_vkv~@o0up{o6TeYWl}nwnTOzUYG|#`Ssyaz&*#j+?Ic-@nByH&><>vR8BAL@ zGXvmFjqS;G#1ZO_%e30PxQXj9hGq?q_qn;z%gt8M{xo`R=@HgVsTp)@(i3Rw?+>Ox zJXju`)Qukjr9$hxfrbh|MXiQS!Z(t!0n=tVUk`r@WCb}d`jibq4B!@QW7+80&`l*O z)zAY2e@HoquR38^A;jPEjF4;i_8#tBz1=Opw3lpcy2{MrxSI9jojxhAoWcR`#qw#? z(EhnQ!NK|Q8xV2qYSnTBfluk%L?*~k#U5_R+}G66{kJ0)pqbatjHfyZ_-@s0`OEDG(2HJ42o#NJz_%^M2 zxw!1oyn6$y-jy61y&ZMv%mz~BSIzS|++~*7%mShj#cCp&dcYk+uXb#sb^>)U)Ri0; z!!(JkR{6B#Fed3(w;{9ud(cktaY+1$R$a~}b|uH8cQy0oit;v=djWWmfrDaT%h!b* z&)kzVBm-IBhVM1fk?O*rZdKpXhOf;bs{TA~Eisg?316#bP;Jf7^g`#eelafYsshZQ zi{LaWTEF<+(r<35)3|;W4P=^m{k$`WTTTN?>d>U)>S?D`l>4~6h9)wtlEFV3(#Cmh z8VQ~|B!F8|P1b&%v4W*-U#!a!uF;7+eZ4;2XJe1UPknfRBYq0mWN2r*GR_kN=fPV| zgj==UA@NKummZ#;4XbWa8WVq+QZ*B^!lN3{lXsZ>z1r$ydsT$*dn|Rwk?I`;o!p2? zLsiMM8i9sjT_OO(l`oOjXQ8UiQj(|mR?1h5d+&i%+8=XzWbJ>E<^`$NBF{yBimSm= zeuZ2C#xWvQ|4YbChrjCl_2`SW3E6Gd6|$M`U^1(BboeMo*8D%?-xTW5$xrgukN=K; z8UAL=0O;fZ^49-~TL?|;0f>yoU9TmPT4)Ifx)Gw-HRkkJ+``B!{uYOX88N=Op_XmJW~Zj;S? zye5v34+9S51gU4P0(UA-ZGh3QBoH&X1ZO&9r|uLGa0<~yOAzyi+9_mlO8`Ns7;Q)F z>D1){Yw!*eQsRu3-c2bFhEk8xH{{2h!_CuEw`hO@8LWop?Cq7TVN<{*5Y2QRleUW zuBB8MyG~E!j`-r)-kHL7Tu>|GrrD*w=b6Tq{k&;z#Gop=a!U~$m8?>E8xT_ZdRXNc zfLv+E`7kTwFB)_A^hEF|%7aCOHCP@G=d_J$z=?07WpCu?L-vaE6uamcd10CBeJ_Cy z91Y!fu*={%3jttnkyIY$Fl+B0A)&Rl`^+NxQl$a(q-wU~_|f>BusynI6lNwdKM8D~&Ikq+#L9?gusuU5rhvs9M62RZREJmRBC*cngq2&}vpI2DXsYK(_gg5 zhi_z~EV_aS%3EVm*;uo@mr{ryR-gMj`nFu|>ETv~`tayGSty~ir7Q$jL?#25C&m=# z%l_bw?QOYc`N3$>O*LfC)o;&Ks*69;+7pA`ueEH$gL!vG&kih}8r<~bo-ZU?vY-R8W{8XD~ENf9|Rj(ncrQhN1 zVDTVs+3pJZ2lpi2L0VSE%#{fphv&n-X>+QVm%r-={FMXqbG7dW$!o}|C42h1DP2~1 z;>rHo_b=l}mJC^5bmZS>Q)c@PI+HLFq?OJZo7K9s5;(_*V^}q7lu>bhQ#y_yYnIMd z-n8Cad5`9YU$c)(?L3#Tg^bp)k(cJPi&9sXs3|D#8=`zzd)PX$1feL^VwSJG+*}o~ zzEP16#D&#P_`EY&cUDfnOdCBvJ=|AkSgJLJphv}fdudUBDEMA{`O3H7f+X{!sCN8S z-F=>$J2Q$0%I5jbyQTH_gH2dSD}@qPp>2(xt?9@#ny(HPNhZ0*3q9W{BytWO4%(+{nBJ^LB zRu_brUA@62O5Bhys-5E4A!4e#xEEe?DW5|7|L{W|SEO3w>&3}BQM5e+ywt(-e zk4R`w+t61Q6*W-8@mgRpq#HtHZ9kif`8nmbusKPwleemTi=jtPIA zKO8kcjJ3^bvwa(J34=a5MhU|{68etRAt&~#nAitLL8YhM4Daxvj>6t0$d@Y8qv0n+ zh~aOFd$0iWwT5>QpR=v*F_(CCJHt7K^`zW6#%0WX99C1!8j|h?u!E`RQr%X2Egn{n z>j4-_s?!!_O3O7WD%C`a0>3g!)kLwdrUc31SM$=`)lR~%`IL5-^JnTc-7~K6KZ_yP zG12;3%xNm7-oj{v4b0naglFDPB8X>QD_sd~&p~i|?kk;R&b7-cMZPt7axs7}sGuaV z3is-DS1cOlQd_i2bTTw2i48xY|KM)a*E@#LAkO8`2;=QvG$&{+YEVth_-=6NAB zSogJ&mha5tMAYHa;^QwgXOK%J$MFYE^{x*lA^3LmUjM_v0F_Tn-`S5O7hg=C#nMG! zZr#m_d29YSUhiXsXp`N(z;7&FFc@$NMu-Z}%@hxZNJ8<$Or?4VWl{50Bfm@cqHJLK zqT8QXre`uv5@jQ~y;v!WX)T>;5EF)!t`PD&N1;pyV6g^DJj+PwyZROEk_E@n9@TP0 zOsSzSvRr*JTsQ4XBQhx32b*aa5@b}y#5k+29-}|DlM?-zy2Do}dTc_($=J~Z2${@E zfgfifUBM!}wj0scw`xi6d4IbmdpBqOFeo)DzIKe;ABN+=Vm;e?Sns9*ZkK2BkjL)D z&i1=SD@l!pgX&o3cUUGde*7OZXV?XjK8m31Ti(XZ7@q(+u^hu4t^C&PTqITmIo{(~ z1eZY9=?ToRpQ6!zqoPTzCSRQ8`M<+ja<6FeZn6Cm(0sHmuMp3n(fdl}drI_DNT28S zm4u+#$xZTdk|6IV*sAxv*1DJhU#8#K)O{-xyX_e_dV|T87rK2*Dzm45=Wzjh1aNsW zTiERwNxn_R7}+59oWL#dpxHDvo`EWL2prS-#)==o2wxI6^1f9B;~y%F>n19&DE62jjv7#JZY|rx>3z1*f2QzZlv0G(h$^(H zc@k%1U$Uk6afmwIrv$!h3XsejGRb=zkS#6=3&42#^0Cg9?r zo2HW>sg+yC9mPdVmMIUG1|dO!@o5^sf%17GwB`#%i`Q`G8b0HTyyU5=P-TdJMcAX4 zTyCaBWgqsH5SF`d4#de?3BezA!^mQ*gkw!+)69djF!DrTFh(%Iqu8yJ=u9EGkuDX2 z=%yvhB|aj;mh4ht_Z4HK0aYzm*Dab}O@N&@)XK7bH*CZZD!%6 z;aiIxq+awN10uf_*!z6&2Lv2H;CJd@D0jI`*{#NtIx2l25Jroul=-5|L#O>Uiz(P+ z^yd4oc^Yg`=$HGb7ZH>x#^hso4C$}sgCmXdRUiPV(HD^HP%o~@8UPAnCqYerSJqc#$ zJs`%pyK*E9O`mv{|Ddyc5(;ai>MR7(t)kuM_)93-vko{x%?NE&DNMilm*11i7Ua<3 z?67n|2-%p4veTKrQ;hjR3qj|>FAZ(*}eU{vV_xjn@YOJvA zXd&Uy`T?X+!)PcIdCgj>eCstqw?Fi5_YFcuRsLLJH^jC#eZZjRnc=MQ`{zffh6VKW ztwVRIq(W9e2}@H)1+7JF;&POO70D#f8%J{ET~8hzAb>gD0{ zt)B<0RSI^F@tx3q5>}-?u%MpCZ*&z+6qv<|zg4B-ZGSX|kX?*p!PM6HD*y7wxT0XK zz!b5Gtc8JwWXzvBGAFeb5ul%nY#wCAJRXGmsidC3oTD;53^>C(-CIj`t4^DyPCYAgPvJ|A znpqZVW#_O*n6+@HXM}j(8w+0%s$Ek^6p%-9SwToM-ndI#%L&8won8>lF)@u?@&2-kM z;CX$rn5~d3PIaElXmqV@)uSe(y25u<5L9XAMapL%*qKCVIg}df1G!*Ur^KA+UvJ2q zGH{9`t=IkC5^sEVFAmWq)t61LTC@Wdpo=kPbowS+ewupccDyxrKE6dodAG(FCCOet z)DC+p+w7H1Y`;lMVegHQo#Eu`iHt{s6TM4BO^0^zFyu~_V#v|u8;STKY>w&AT^sgg zhSUD5PG-s#UFder>`pU_z>mN=Xj9sqG}rLlnsCehKanN>_A_Kd!!fD3f8W4jI2M`z zZyV;o0UMnEZNuIYy%8R$u1J4$DglhJ2SZfske*Z5P;@8(lK^J;qY*AqOak2tG|2z# zIGz%@ma^~vt#Gd@lG)M=&_d?&7>NcGpa_@+GNNCVNjwufG$mvp(m>Gt>nu7FJYn7Z z5-7n)kc-jf81lP=tqrq$H*`owd7*^v``i!+?bLs;58lDj{eJ&tQ+=j~ zhvypzB=^JU{=hr1WZ=w;d+XCPr&`6IOHa6U<(TxStfbO$Gxp6c9I5#St+I`EN9|5p zTkUkatAF-2dtOGk=>i-Vod6mb;6d&)W0<{ztA(NcXRMzwC3WjnW@InCst?{v&1sTY zW31Rv_Q+qrnsoRWRmx(y2DxpJ$Qi>p_nYn_!woY4F)C&6E#Yx45kC+ATbpUo|= z<7E7pjSGs7pkaa8_f_Z*FKrj`a5n)1$);GwUWk=lmZwRcf_63=x5m6V{9nwYV49bIBwKJlW55cWy8w0)CHF@DtrZj@(`n!I z1BweCHWvQHRgJuYkshA?GCfX&@UUq&&_>D3sF6vK)(gEq2BpbF`UMnZQ$5GpHQeI5 zuC7%}Gf95gPio+47-Vrl1%8h_KQu=Tm6mVz@qNmt7_r7J|MdQ?_gpDX0G%WW?-0ef z-f((@72>2}%x1d-zlwIhuFF6YLe1C(f#ViK_eA>V#9P;Z+!3bLDcuBfejb@LnuN{u;puW>0xOCy(7)!Q}HaI>1S$R@+G`*;jUy zm)qX{cZs!1U)eEJi)^9>$ydn7xqUz^fU4Mb?W{~XaN_ZtP7e3b5FvNPXU@WOJeI;@ zk9*oVn8`lA#ueSX*Oa+PDtlyg&sJ0^UMAq!tA>7T+U*rY+6uvqtd%8lm*f|v2A}Sx zZo@JEWaFHbR~6XLwC&wPQbeXb+15x}U)8n9+Wm1a`t7m35N6rl-dk<#()E?1d|8Wk zMxxbAA8v#-7&>e4;_L>2+Cnzl&vmm`9oD;Uk+Ro&-O5YV(mHHN9Xzc7O?$Raog}S1 zsgEV?tU(1#*5>A+Y}Jjgaz9nzx2SI0Ih%ul8@&^uw{xPQ3p2)1Yb7%Ql&_bNoz1mqiD=n6Y1pXFfb4F;Q2(X^g>usT-aGWWo{ zd}ff@Bu)U)Vr@bk)&WQ8^-&tF*M7 z>G|XVGok#c)KtaWLer&>7k*l4_=iSBT$Rn&92oM=b>8w2h#Pp#etE@u7e9>N6i893s@J^yM zt)+C!$vNeADO(tYgxcw)ZkX+&Bv=W&;6dbE=eG@oqh&X1N`sdy1A-KKA#itdp+@8l z%=^rEqm-uGQy=G%n=nP4^7k)vMZeO&Tq78QtTR)W_zfQek363q4R`fvSxYk}zTRr-5v-7XKKo#`@bCpaMrIDQ%f3TSqAB6T~|z z*-gaTd6J<+!#elSYmn|tYCZ|B0N^|1<0<)}sNuo(vT^k_J9+Fda_~%DPlhtiGe=04GRgFgzZj_EWaR$ z-q2r-4ZGU~#Z8n1s>8Ivipbhd{WAN_eO|7$GrU=M{(Kn&6VTt`D z!75r8M&@}wr&akvaTIl9N?WtG8K)#FU@=?4yDAV5x@Ak~TO}Vkw?=PJhEb96$znFL zwtDZP_?ebW@7A76Vc`J`+#OzEkdyo3rN%f4Fp zIX(B6U%+z2qC3O=(9%^iy?~CO{ICT1bJ~{-frH+5x<5+dpvx==U0M^FYX};Wo zchyWBnNlfS4YsBq?u72lzEzSsdU7!KTX{!rIikw& z4@@XxNFi(YjC^OcKsZimt3dGnA{YIRL{-S`IeevG@GOadoeqf{b)A4-@Mw=AzW>Vg z_=aU=?{C1((!+pA7jPW3Uctrt1EVI?vZr!vf^zjy$kz-tJ%jKD{gl<(;SA*5X0rP6d}WDzakMk)aUgbmOv=R*-sSB zBWjsLkV^ntriN~<5vrl*&4{oGY|kt;o;3K`Z~~{gEj*aR&t98cpq;sY?gcx?2tCLwNvyY0#emD z$qn_~L(_)B%er<@M|*?otOFFo!wduezVUt>Ue?@~Q#TOuD>T}=Z!pTchG0gin#Fm1 z+EN-b90;9*>927>tWQLz42 zerHe6w&`#P+TW|PEu_t6Kof+IsZ7a~Yw<)>ySCqXNa*ohKQlMl_mA^>cxI{(FN*OnowWJn*1B-ofA=iiyND?bNRO7nXD4#p=I#h60O#&xd zo<-M{Fv5~`M3>cus_SafYQJHp7nU*>Io%Z}kV0uI4kh>*0&=lgg0sXh*?r+PEU#veqC=1)k6=)H?B z;LSvH>S($0O->l1nO2X^x``NQH9>;$>>6=WBj9u~$?oxeRN7SD2{4S)*twPz%D>>b z)pk>PDe%&4;T<@JT{Z;Gs(| zr*`L@P;(}ifZVrBue0FIkJy8o{xL4>|8YF$5O);Bu?JInEihN}qrmD-ips9SoVpnn zao$y|ZF|l$45XWuDr<~hQngL0H?+1^cD0Uy5)xW^j``8jQJ9tMs)CefC}T{`k(csB zEaUNcWUX!92*TNi)6K@4wMgzzhTl4gi0pX=Ybc&sCu}WFH3D+8jg6G*!;9PkVqI*B zDjrj}6JEhjE(f8ZG{6a6Y4oj1B+?Gy^tOo4t$up3K?v#*|Y31M|_4)2T)p!6x zSeS(N7+U@I^G=7xvWM*j0)ECz{YbW|rIT5JQ9TzKXuDM2)ae3yfL6Ks1&rHz)igHe zWjhfJ?8>~A%n8fadb>t-NHY>cuRPV?5D8)&zZhJq-{){IJHhxe?U`}pM|-36N^%by@wXNLDf@u9)yRzZ0p}rxk$0imz<-8bJ<|0BUeqYe5Rv6Wd$%Q_u-3z zT|_)Cnxo|8b6LkD0GWU*6FHVL5#&gdJ6%7O4!HPHaqoOaRQ5C+FAR1X2)O;Khza-k+Zmjw$vF)$Pe3 zHARb@usnBiQF|aWtnZ~dGF!H8KMaAjvoBu~{d<7Eb^fB-fI@}Qv1@(2&Y@g5zxZ;t zvs#Wf#*YkMi+?$*iuu#z&joXu1J*h*>(Z-jt)eVHfHVSI^ito-H;RSbs?{I|c3Ybt zwO(3HbaEA0?QZ%A%*oB`P?y_W1|8Hj8DeFsSiVjL;FA^b>O%h7`1R=KA>65m@*2Sb zwjLKG_Bx2mGka}=jGqL*6B|%Xndw|NnnUR064|Sp!a*p~uyZ=?b1JrxC{mtXu(sj- z&Y-?O;|wzKWq}X5XiVFcR7GuL)ko1YoE^44H9%Uj6fN> zFM?lYmQM7+$GlLQNgyqg-e*ZMj6exG|0bmp7Y_kAXk%)?_1?7Y2tRgO&1@h!B8MxH z5F)7&AAx1^5`{s5`DJ2E-w|1C*ov^y4!E^wEND!#CfZ#@87S;VC^3{|Y#3q^M4ix1 zee$fVEzsDi{^Pi8aG3$@1|kK_*w=Fy`H)6A_L*3zyy7xZimHWeOgp%A#w%;ZetCYpV zQQ1w>kBoK}RHkXK7deH8eSjgI`4R63kNed9K{jnxk!cwq$R@HR*d5( zI-AU?cnA-<@w0dgN?JUn`A3Y+QKMdq2?!2okNIDX{BOl-%CHq6cYELk$QTD?%PJxu zKEs(XqBD^vx(@BCW{jzNFltmjD-`(6xhAqHDM6Yq1+VYWbINo7K9TtTeo|7)wN&oO zXoKpL0q%3ANvM-L^Gm|VgZ8FT@x`6MhQ&>ZW#5Q5O8bZ5+X>C+L4*4#96vO!pviNB zH+tYMA>{K8{&8DYwVLJYt0Gk#wKWp?t!558lUQ&&JKAFKm7VoG&)2>hJ!ifnC>e4drmsGARxtNU;$ zw=V&gZI@c?k2#m46U@7wqs7!=6=$pKv_V5YZbq#ys?lJswjl-&A0@Q@5E-lqcEFqb z)013?A=K4}>a_R6I#(pg*cDb+3RcSR-WUas-xP=Z*NJ5RZ#G^fx7~;E> z8?P6YNvnuPD)%ENeOCLM(fyXlFWqhcEwncv7*A*G{hphL$?8vX4~Q&y{@Yx{01XT+ zSZ}EvDTVowPNJ&(4;;T95>RMrgiY zt3B6)JAR=+4cKF9;@Zc-J-IE{PvVYM+;aViMX8DIeVP5xp!v3Z4~{8Nh3jUk7BspA z8l_}%cHb^ct@ec(jV2htjKR@ViN)YP?&t;jbL$3Ch%INv`uhbIBGPs%4}`SPujRt# z*Hdc;T#Qq21UH}{2z?ixB8ZG0d(JaRz}HqpIEYLF8p3gN8$aq->7r!`HYCGeMS-?M zb$)DcfOdVlx&wbnpW_xe3Xa+O(#qMSY(bKa5PO9&=X#6BZ_)GRNFw*jj*N2|AX@q6 zVyTVFh6tGFrS7F=e+gR1gOVK2lpv&jFzM@~NY)1g%z-yD+mTI1>bK`F+fD_|$QB7& zxb{J^l6)mT0R`iz!<9q?c%hwrcW~6i;}{tmk*S)bc#*FZd@>O2FXnwmL4`OKb&BTb zQ;0KnVC})2#KzwcdL$@yLkV%!qU?LhG9?hDW%~q9rimLQzJ~UU1NY zKKSt1_RL?WtK2sj)BMf+uRT)i>@E>&eWOM~zS1zh3%L{H66G9hZ=l#gI+6U=<3Z`^ zu@t}->SDt69dQm&uVR}YVG?DjxW4@F1J0UsF_-!tazM6|bLTR^VD2c1I0?8|=7xHi z;c7O}%Ko1hkxjz{=UUCSIXgPa;T~7cUVl0i0I5ClXCI5WwX>>~&U-tbF7K$U~icg_4sz z6T0?bU<=1q@y@?jaNLkZwMWXQj2c80pS52T!|ZHXOEswXsPep^r2q8t3V*Usw;8s1 zZKciJt{k$iG7$(DBr3BWQpIH)X_-QUr_FOD*Lf>$*I1dMtb6LTIF?4h+I$li?T)QaOaA! z4GEoH|I*_-alX$q_k;y4v>Y3~xd#Zu{__fqH4@2W0?xb*@CL{cKBx5cbuIJ-Omt1H zK4IXq; z75SQ40`6n5b7~@M)2ik46F!}3eB~z~NSOh8&{-kNO4_j5&s_9il%@2=xOfXn@Nq?r z7%}@O@s75IvCo?8#*|APKwg}AM13~dZt#V3gcpHGU!|k z)n|u=u*ho;viTIYhtP4w>xwD)PGU3u#0*WgbPjTm;lt5_f(5>hnA{>s)SCA|Elvde z5H@)Sg$zrHIpJHvkLUZXo0D8@EDzBh%!D3%p`aLN6n1UCqn!L2eQc#AdRric5i{xc zx1?)mD`|*xZ5kp!K%Nhlek2_=j$kT(BUrYpI8sP_K@rz)x;9L`X2DLw(f)`VKJ+-J z-o>u0pFe&%>&^SfxXxcnr)k37LJ8PG_(A(rVdQ#e@9V+wm|qq47%4D!1s%Z{nR zBI6g*Xi}q;hoQ1thA?ZeZlGXX!C*brn8GyuqsH3cR${Y?(qWejh5@DdO*Z*?nh$am z8hF+(PFOen;f5?^n_X+m(gD~-Hxb%73{${3KNoyum{#=60RBDly<^=Bn|Yw2}Dwek~tdC|4d^7XT6gsyFxt^zd%cawggR{1F00s%6oMRYTg+F6xza{MOD6KT&ALv4X~BXWdA*s5n1Or(VVZ4vW*)a6rW&e$8V#T^CMuV--Y_z4H zjoSP~;yHJ`l^d*?rDX+bONhBBbnHcrDPoedlfJZrXsoPuXlxKWeMbu$?5i;>Gq;6+>DNwumdAX zhQWe#UwN;TL==q|R_Oze01{9t1d^xh05T~VjhC%H_g|0%r|oJB90-5R$XIy5 z3U1}iR4*l6*EO|MFq28|5W|XM4~QaY&z6#qlqPWxMm=#qyG*CgyaqLqiSWmvkPL@E zf(^-g+-qJ-1Fq=by$}eP3gD{*{{l$y_J!aJO4%;g8K55m0fy^OhtdE3QWvlWjNDcZ z+6t~VhW47D{ZdB!e{Y~(k(TKHY3qJoA&R0nfU~erHcCoJt`_ncoF zHD!TpI}##SpB7O^~p|)oF98O`^6E^>1Eahi~QNVEKE~ zlzO|BxKgr1WJ2*`A*}4=kCNN=E(X2F;z~=aRJ@`9E8O86cl2ban2R62W`(;!L-}Zz ziXW9_h5OAydF+;opQ~eqdv`*4=#fg;$&(rGZ3yPGS2O;+!3=kZ1M}6d8PE7K!`-{U zoFz2lIVEPepAwkVfM#R>b6XiOhl84t5zMVKz*L4bBSV-w9e^o~Xhy~`*OUh{o6?L7 zVy?aorZ}n@8O2;R8BBFdGGPs6{)2NpSulx=W@Hp|-A^#@9C%+>qAWG6KvqnIn3 zf!UkZjErI~(*))xrx_W=T+9Vbb6zttin;IwnB=@>bQDva0x++Onvqe=r<%c3mNX-y zm`^i;Nv=vJJln`o%%{-6Jg-Sc1~Ko1gmSd&3id_v1bE{XhBoepLwOq)3%t_?!p(sT zyzhnq{;Uu{+lhP+=M`j literal 0 HcmV?d00001 diff --git a/training_script/LandslideDetection_Model1.ipynb b/training_script/LandslideDetection_Model1.ipynb new file mode 100644 index 0000000..b968bac --- /dev/null +++ b/training_script/LandslideDetection_Model1.ipynb @@ -0,0 +1,885 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Developed by Faraz S. Tehrani\n", + "#Deltares, 2020" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 4945, + "status": "ok", + "timestamp": 1602843121620, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -120 + }, + "id": "PUWTXacf5PIp", + "outputId": "0661c6e8-ce40-48dc-e3dc-f4d9cde48a10" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: joblib in /usr/local/lib/python3.6/dist-packages (0.16.0)\n" + ] + } + ], + "source": [ + "# pip install joblib" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "executionInfo": { + "elapsed": 1290, + "status": "ok", + "timestamp": 1603882885652, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "i7Z9oH4ipUx5" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import random\n", + "import datetime\n", + "\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.model_selection import GridSearchCV\n", + "\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.metrics import confusion_matrix\n", + "from sklearn.metrics import precision_recall_fscore_support\n", + "import seaborn as sns\n", + "\n", + "# from sklearn.externals import joblib\n", + "import joblib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "OwE8qwH1QDot" + }, + "outputs": [], + "source": [ + "def evaluateTrainedModel(model, X_eval, y_eval):\n", + " predictions = model.predict(X_eval)\n", + " accuracy = accuracy_score(y_eval, predictions)\n", + " other_metrics = precision_recall_fscore_support(y_eval, predictions)\n", + " precision = other_metrics[0][0]\n", + " recall = other_metrics[1][0]\n", + " f1_score= other_metrics[2][0]\n", + " confusion = pd.DataFrame(confusion_matrix(y_eval, predictions))\n", + " print('Confusion matrix = \\n', confusion)\n", + " return accuracy, precision, recall, f1_score\n", + "\n", + "\n", + "def saveMLModel(model, path, fileName): \n", + " joblib.dump(model, path+fileName) #.sav extension\n", + "\n", + "def loadMLModel(path, modelName):\n", + " return joblib.load(path+modelName)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 32334, + "status": "ok", + "timestamp": 1603872604501, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "Iy96LmRMpk3p", + "outputId": "25ca9c86-11f7-4856-8eb8-3016fb53f7f6" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mounted at /content/drive\n" + ] + } + ], + "source": [ + "#read files from google drive\n", + "from google.colab import drive\n", + "drive.mount(\"/content/drive\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 178 + }, + "executionInfo": { + "elapsed": 517, + "status": "error", + "timestamp": 1603882880445, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "6STYZzKqpo9L", + "outputId": "37e7509a-f865-4974-c7c6-718d9c0200c6" + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "ignored", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mpathToFolder\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"/content/drive/My Drive/LandslideDetection/\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpathToFolder\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;34m'df4ML.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined" + ] + } + ], + "source": [ + "pathToFolder = \"/content/drive/My Drive/LandslideDetection/\"\n", + "df = pd.read_csv(pathToFolder+'df4ML.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 162 + }, + "executionInfo": { + "elapsed": 568, + "status": "error", + "timestamp": 1603882877078, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "YE8xDhPFp46F", + "outputId": "f04b85b5-6b15-4a75-c474-5a27b4ec3ac5" + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "ignored", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'df' is not defined" + ] + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ecDzt5btfBQp" + }, + "outputs": [], + "source": [ + "df['Landslide_Region']=df['segment_id'].apply(lambda x: x.split('_')[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 101 + }, + "executionInfo": { + "elapsed": 1324, + "status": "ok", + "timestamp": 1603805238432, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "gIMMcT-Ap93U", + "outputId": "ef172578-e57f-418d-a317-a2965b45ee7d" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['segment_id', 'area_m2', 'east', 'north', 'b4', 'b3', 'b2', 'b8',\n", + " 'ndvi', 'ndvi_change', 'ratio_rg_change', 'brightness',\n", + " 'brightness_change', 'gndvi', 'slope_max', 'slope_mean', 'nd_std',\n", + " 'height_mean', 'height_min', 'height_max', 'Type', 'Landslide_Region'],\n", + " dtype='object')" + ] + }, + "execution_count": 121, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NOkhWQ2_JGKt" + }, + "outputs": [], + "source": [ + "#rename columns\n", + "df = df.rename(columns={'ndvi':'NDVI', 'ndvi_change':'VDI', 'ratio_rg_change':'RGD', 'brightness':'BR',\n", + " 'brightness_change':'BRD', 'gndvi':'GNDVI', 'nd_std':'NDVI_std','b4':'B4', 'b3':'B3', 'b2':'B2', 'b8':'B8'})\n", + "df = df[['segment_id', 'Landslide_Region','area_m2', 'east', 'north',\n", + " 'B2','B3','B4','B8','NDVI','NDVI_std','GNDVI','VDI','BR', 'BRD',\n", + " 'height_mean', 'height_min', 'height_max','slope_max', 'slope_mean',\n", + " 'Type']]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 101 + }, + "executionInfo": { + "elapsed": 765, + "status": "ok", + "timestamp": 1603872705905, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "8FMf0JZpJqVl", + "outputId": "e6dbbed8-07bb-439d-efcb-301ed69fe595" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['segment_id', 'Landslide_Region', 'area_m2', 'east', 'north', 'B2',\n", + " 'B3', 'B4', 'B8', 'NDVI', 'NDVI_std', 'GNDVI', 'VDI', 'BR', 'BRD',\n", + " 'height_mean', 'height_min', 'height_max', 'slope_max', 'slope_mean',\n", + " 'Type'],\n", + " dtype='object')" + ] + }, + "execution_count": 8, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GHX3t35rn5ST" + }, + "source": [ + "**Feature Analysis**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "oVnygjNhoOpr" + }, + "outputs": [], + "source": [ + "feat=['B2',\n", + " 'B3', 'B4', 'B8', 'NDVI', 'NDVI_std', 'GNDVI', 'VDI', 'BR', 'BRD',\n", + " 'height_mean', 'height_min', 'height_max', 'slope_max', 'slope_mean']\n", + "df_fa=df[feat]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 677 + }, + "executionInfo": { + "elapsed": 8719, + "status": "ok", + "timestamp": 1603805503259, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "W_MZdu6In8C8", + "outputId": "1df3e60e-25a1-4039-b9b1-3fe06d370d49" + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "

" + ] + }, + "metadata": { + "needs_background": "light", + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(12, 10))\n", + "heatmap = sns.heatmap(df_fa.corr(), vmin=-1, vmax=1, fmt='.2f', annot=True,annot_kws={\"size\": 12})\n", + "ax = plt.gca()\n", + "ax.tick_params(axis = 'both', which = 'major', labelsize = 14)\n", + "plt.savefig(pathToFolder+'heatmap_model1.png', dpi=600, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "_ySnEdJjqGkN" + }, + "outputs": [], + "source": [ + "df = df[df['Landslide_Region']!='L2']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "4cbFMNOWyjk7" + }, + "outputs": [], + "source": [ + "feat2=['B8', 'NDVI', 'NDVI_std', 'VDI', 'BR', 'BRD', 'height_mean', 'slope_max']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "vrmiILLk0IKh" + }, + "source": [ + "## **Model based on feat2**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Sx_ujMc3qNK9" + }, + "outputs": [], + "source": [ + "X = df[feat2]\n", + "y = df['Type']\n", + "\n", + "random_state = 110" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "FtcqTGZXqUL-" + }, + "outputs": [], + "source": [ + "# Split and Scale the data\n", + "\n", + "# Split and Scale the data\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=random_state)\n", + "\n", + "scaler2 = StandardScaler()\n", + "scaler2.fit(X_train)\n", + "X_train = scaler2.transform(X_train)\n", + "X_test = scaler2.transform(X_test)\n", + "y_train = y_train\n", + "y_test = y_test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 741, + "status": "ok", + "timestamp": 1603873042359, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "Yqw4_NLSEQNv", + "outputId": "0e951844-bb59-4f41-d1c9-2e37ba475f74" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "450" + ] + }, + "execution_count": 21, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "len(df)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "mTcD8nUdtl5b" + }, + "outputs": [], + "source": [ + "#Random forest classifier\n", + "# define the baseline model\n", + "baselineModel = RandomForestClassifier(random_state=random_state) " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "satHWwgnuRVC" + }, + "source": [ + "**Hyper-parameters tunning**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 202 + }, + "executionInfo": { + "elapsed": 949884, + "status": "ok", + "timestamp": 1603808747767, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "0GOSUOhRtwc5", + "outputId": "67886266-0433-41ce-fee0-b25dbaa78db8" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting 5 folds for each of 450 candidates, totalling 2250 fits\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", + "[Parallel(n_jobs=4)]: Done 42 tasks | elapsed: 15.8s\n", + "[Parallel(n_jobs=4)]: Done 192 tasks | elapsed: 1.3min\n", + "[Parallel(n_jobs=4)]: Done 442 tasks | elapsed: 3.1min\n", + "[Parallel(n_jobs=4)]: Done 792 tasks | elapsed: 5.5min\n", + "[Parallel(n_jobs=4)]: Done 1242 tasks | elapsed: 8.7min\n", + "[Parallel(n_jobs=4)]: Done 1792 tasks | elapsed: 12.5min\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "best model parameters: \n", + " {'bootstrap': True, 'max_depth': 10, 'max_features': 2, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 50}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=4)]: Done 2250 out of 2250 | elapsed: 15.8min finished\n" + ] + } + ], + "source": [ + "# Hyper-parameters\n", + "#RF\n", + "model_parameters_RF = {\n", + " 'bootstrap': [True],\n", + " 'max_depth': [10, 20, 50, 100, 500],\n", + " 'max_features': [2],\n", + " 'min_samples_leaf': [1, 2, 3, 4, 5],\n", + " 'min_samples_split': [2, 5, 10],\n", + " 'n_estimators': [10, 50, 100, 200, 500, 1000]\n", + "}\n", + "#Cross-Validation\n", + "# Instantiate the grid search model\n", + "model_parameters=model_parameters_RF\n", + "grid_search = GridSearchCV(estimator=baselineModel, param_grid=model_parameters,\n", + " cv=5, n_jobs=4, verbose=1)\n", + "\n", + "# Fit the grid search to the data\n", + "grid_search.fit(X_train, y_train)\n", + "print ('best model parameters: \\n', grid_search.best_params_)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UfbVpwD2wVAC" + }, + "source": [ + "**Evaulate the model**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 386 + }, + "executionInfo": { + "elapsed": 823, + "status": "ok", + "timestamp": 1603810612420, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "BxB91dxAtH8K", + "outputId": "0903544b-f789-40ed-aa4a-1e51b94429db" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "**Train set**\n", + "Confusion matrix = \n", + " 0 1\n", + "0 213 0\n", + "1 2 145\n", + "best model on train set: \n", + " accuracy = 0.99,\n", + " precision = 0.99,\n", + " recall = 1.00,\n", + " f1_score = 1.00 \n", + "\n", + "**Test set**\n", + "Confusion matrix = \n", + " 0 1\n", + "0 53 2\n", + "1 2 33\n", + "best model on test set: \n", + " accuracy = 0.96,\n", + " precision = 0.96,\n", + " recall = 0.96,\n", + " f1_score = 0.96 \n" + ] + } + ], + "source": [ + "#Evaluate the best model\n", + "best_model2 = grid_search.best_estimator_\n", + "print ('\\n**Train set**')\n", + "accuracy, precision, recall, f1_score = evaluateTrainedModel(best_model2, X_train, y_train)\n", + "print('best model on train set: \\n accuracy = {:6.2f},\\n precision = {:6.2f},\\n recall = {:6.2f},\\n f1_score = {:6.2f} '.format(accuracy, precision, recall, f1_score ))\n", + "\n", + "print ('\\n**Test set**')\n", + "accuracy, precision, recall, f1_score = evaluateTrainedModel(best_model2, X_test, y_test)\n", + "print('best model on test set: \\n accuracy = {:6.2f},\\n precision = {:6.2f},\\n recall = {:6.2f},\\n f1_score = {:6.2f} '.format(accuracy, precision, recall, f1_score )) " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kGxSdBH-1ntF" + }, + "source": [ + "**feature importance**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 2475, + "status": "ok", + "timestamp": 1603810681287, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "Q0dxpRZUwZ92", + "outputId": "9928dd0d-bb0b-480d-cd47-583c3b8cd53e" + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light", + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "feats = {} # a dict to hold feature_name: feature_importance\n", + "\n", + "for feature, importance in zip(X.columns, best_model2.feature_importances_ ):\n", + " feats[feature] = importance #add the name/value pair \n", + " \n", + "importances = pd.DataFrame.from_dict(feats, orient='index').rename(columns={0: 'feature importance'})\n", + "\n", + "importances.sort_values(by='feature importance').plot(kind='bar',rot=90, color='black', legend= False, fontsize= 12,align=\"center\")\n", + "\n", + "plt.xlabel('Feature',size=14)\n", + "plt.ylabel('Feature Importance (-)',size=14)\n", + "plt.ylim((0,0.4))\n", + "plt.gca().yaxis.grid(True, which='major') \n", + "plt.tight_layout()\n", + "plt.savefig(pathToFolder+'featImportance_model1-2.png',dpi=600)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WjnsUXI46ghX" + }, + "source": [ + "**save model**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "W5gsG5OK1fib" + }, + "outputs": [], + "source": [ + "model_name = 'RF_model1-2_noL2.sav'\n", + "saveMLModel(best_model2,pathToFolder,model_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CPfUSvDaKkEj" + }, + "source": [ + "**load model**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "v7XlEltcw6j5" + }, + "outputs": [], + "source": [ + "model_name = 'RF_model1-2_noL2.sav'\n", + "model = loadMLModel(pathToFolder,model_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 168 + }, + "executionInfo": { + "elapsed": 776, + "status": "ok", + "timestamp": 1603873236714, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "aRnDhryR6Wk9", + "outputId": "f7fb4fba-5ac2-4f35-ea44-df27f7aaacdb" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Confusion matrix = \n", + " 0 1\n", + "0 53 2\n", + "1 2 33\n", + "model 1-2 on test set: \n", + " accuracy = 0.96,\n", + " precision = 0.96,\n", + " recall = 0.96,\n", + " f1_score = 0.96 \n" + ] + } + ], + "source": [ + "#check\n", + "accuracy, precision, recall, f1_score = evaluateTrainedModel(model, X_test, y_test)\n", + "print('model 1-2 on test set: \\n accuracy = {:6.2f},\\n precision = {:6.2f},\\n recall = {:6.2f},\\n f1_score = {:6.2f} '.format(accuracy, precision, recall, f1_score )) " + ] + } + ], + "metadata": { + "colab": { + "authorship_tag": "ABX9TyNLCPITSiIyFk7DK1r2Nn2V", + "collapsed_sections": [], + "name": "LandslideDetection_Model1.ipynb", + "provenance": [ + { + "file_id": "1LHylKCXYVSXvECDc1VFMdRirWX1AcdRJ", + "timestamp": 1603381947484 + }, + { + "file_id": "1xpDL8H5UPmsCpMi1HYIuQXo6-6gxEcTl", + "timestamp": 1603104503917 + } + ] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/training_script/LandslideDetection_Model2.ipynb b/training_script/LandslideDetection_Model2.ipynb new file mode 100644 index 0000000..8785d3d --- /dev/null +++ b/training_script/LandslideDetection_Model2.ipynb @@ -0,0 +1,1107 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "#Developed by Faraz S. Tehrani\n", + "#Deltares, 2020" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 4945, + "status": "ok", + "timestamp": 1602843121620, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -120 + }, + "id": "PUWTXacf5PIp", + "outputId": "0661c6e8-ce40-48dc-e3dc-f4d9cde48a10" + }, + "outputs": [], + "source": [ + "# pip install joblib" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "executionInfo": { + "elapsed": 755, + "status": "ok", + "timestamp": 1603883054307, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "i7Z9oH4ipUx5" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import random\n", + "import datetime\n", + "\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.model_selection import GridSearchCV\n", + "\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.metrics import confusion_matrix\n", + "from sklearn.metrics import precision_recall_fscore_support\n", + "import seaborn as sns\n", + "\n", + "# from sklearn.externals import joblib\n", + "import joblib" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "executionInfo": { + "elapsed": 851, + "status": "ok", + "timestamp": 1603883059339, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "OwE8qwH1QDot" + }, + "outputs": [], + "source": [ + "def evaluateTrainedModel(model, X_eval, y_eval):\n", + " predictions = model.predict(X_eval)\n", + " accuracy = accuracy_score(y_eval, predictions)\n", + " other_metrics = precision_recall_fscore_support(y_eval, predictions)\n", + " precision = other_metrics[0][0]\n", + " recall = other_metrics[1][0]\n", + " f1_score= other_metrics[2][0]\n", + " confusion = pd.DataFrame(confusion_matrix(y_eval, predictions))\n", + " print('Confusion matrix = \\n', confusion)\n", + " return accuracy, precision, recall, f1_score\n", + "\n", + "\n", + "def saveMLModel(model, path, fileName): \n", + " joblib.dump(model, path+fileName) #.sav extension\n", + "\n", + "def loadMLModel(path, modelName):\n", + " return joblib.load(path+modelName)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 722, + "status": "ok", + "timestamp": 1603883064255, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "Iy96LmRMpk3p", + "outputId": "bdfea7c8-dd1e-4620-bb22-299e97495b89" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n" + ] + } + ], + "source": [ + "#read files from google drive\n", + "from google.colab import drive\n", + "drive.mount(\"/content/drive\")" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "executionInfo": { + "elapsed": 780, + "status": "ok", + "timestamp": 1603883067355, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "6STYZzKqpo9L" + }, + "outputs": [], + "source": [ + "pathToFolder = \"/content/drive/My Drive/LandslideDetection/\"\n", + "df = pd.read_csv(pathToFolder+'df4ML.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 215 + }, + "executionInfo": { + "elapsed": 864, + "status": "ok", + "timestamp": 1603883069865, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "YE8xDhPFp46F", + "outputId": "8f09bfc5-c507-431d-953a-416e1cef46b0" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
segment_idarea_m2eastnorthb4b3b2b8ndvindvi_changeratio_rg_changebrightnessbrightness_changegndvislope_maxslope_meannd_stdheight_meanheight_minheight_maxType
0L0_S117900.0312661.201117131768.016760546.782123897.173184944.2011173058.5530730.6934840.0753030.5341680.796052-0.1437950.54255643.19801327.5881780.0517131266.1620111191.01329.00.0
1L0_S1254800.0314277.390511131602.755474590.445255930.883212959.5857663077.0036500.677110-0.1280130.2707990.826971-0.0054160.53458226.35165613.3959440.0262071038.9854011004.01078.00.0
2L0_S21016400.0315188.597561131301.219512806.6463411082.5792681086.6280492972.0487800.5696810.0302500.5109160.991951-0.2055000.46115036.18342214.6549940.118956807.823171791.0873.00.0
3L0_S2238200.0315548.414634131315.7317071116.8048781219.8170731228.7560982597.5000000.399993-0.0567520.4142581.188459-0.0969330.35763010.7290846.3698480.116028748.000000739.0754.00.0
4L0_S308400.0314450.000000131170.000000846.7500001122.0000001082.0000003610.0000000.6200220.1372400.6387811.016917-0.2923880.52546831.46582231.4658220.0440131017.0000001017.01017.00.0
\n", + "
" + ], + "text/plain": [ + " segment_id area_m2 east ... height_min height_max Type\n", + "0 L0_S1 17900.0 312661.201117 ... 1191.0 1329.0 0.0\n", + "1 L0_S12 54800.0 314277.390511 ... 1004.0 1078.0 0.0\n", + "2 L0_S210 16400.0 315188.597561 ... 791.0 873.0 0.0\n", + "3 L0_S223 8200.0 315548.414634 ... 739.0 754.0 0.0\n", + "4 L0_S308 400.0 314450.000000 ... 1017.0 1017.0 0.0\n", + "\n", + "[5 rows x 21 columns]" + ] + }, + "execution_count": 69, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "executionInfo": { + "elapsed": 877, + "status": "ok", + "timestamp": 1603883074284, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "ecDzt5btfBQp" + }, + "outputs": [], + "source": [ + "df['Landslide_Region']=df['segment_id'].apply(lambda x: x.split('_')[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 101 + }, + "executionInfo": { + "elapsed": 602, + "status": "ok", + "timestamp": 1603883075549, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "gIMMcT-Ap93U", + "outputId": "a01e2b40-820b-4a9f-90b7-b52f2a4badf4" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['segment_id', 'area_m2', 'east', 'north', 'b4', 'b3', 'b2', 'b8',\n", + " 'ndvi', 'ndvi_change', 'ratio_rg_change', 'brightness',\n", + " 'brightness_change', 'gndvi', 'slope_max', 'slope_mean', 'nd_std',\n", + " 'height_mean', 'height_min', 'height_max', 'Type', 'Landslide_Region'],\n", + " dtype='object')" + ] + }, + "execution_count": 71, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "executionInfo": { + "elapsed": 740, + "status": "ok", + "timestamp": 1603883082348, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "NOkhWQ2_JGKt" + }, + "outputs": [], + "source": [ + "#rename columns\n", + "df = df.rename(columns={'ndvi':'NDVI', 'ndvi_change':'VDI', 'ratio_rg_change':'RGD', 'brightness':'BR',\n", + " 'brightness_change':'BRD', 'gndvi':'GNDVI', 'nd_std':'NDVI_std','b4':'B4', 'b3':'B3', 'b2':'B2', 'b8':'B8'})\n", + "df = df[['segment_id', 'Landslide_Region','area_m2', 'east', 'north',\n", + " 'B2','B3','B4','B8','NDVI','NDVI_std','GNDVI','VDI','BR', 'BRD',\n", + " 'height_mean', 'height_min', 'height_max','slope_max', 'slope_mean',\n", + " 'Type']]" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "executionInfo": { + "elapsed": 791, + "status": "ok", + "timestamp": 1603883084728, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "8FMf0JZpJqVl" + }, + "outputs": [], + "source": [ + "df_train = df[(df['Landslide_Region']!='L0') & (df['Landslide_Region']!='L1') & (df['Landslide_Region']!='L2') & (df['Landslide_Region']!='L15')]\n", + "df_test = df[(df['Landslide_Region']=='L0') | (df['Landslide_Region']=='L1') | (df['Landslide_Region']=='L2') | (df['Landslide_Region']=='L15')]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 450, + "status": "ok", + "timestamp": 1603878897724, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "UzyHKxz5cbbs", + "outputId": "2224189d-46e5-4a81-f2f1-57b8868c41ef" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "343" + ] + }, + "execution_count": 35, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "len(df_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 852, + "status": "ok", + "timestamp": 1603878899140, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "eKSTX10scd3d", + "outputId": "24d15643-9034-490d-bc20-e9091a4906e1" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "122" + ] + }, + "execution_count": 36, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "len(df_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "executionInfo": { + "elapsed": 766, + "status": "ok", + "timestamp": 1603883088638, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "4cbFMNOWyjk7" + }, + "outputs": [], + "source": [ + "feat2=['B8', 'NDVI', 'NDVI_std', 'VDI', 'BR', 'BRD', 'height_mean', 'slope_max']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "vrmiILLk0IKh" + }, + "source": [ + "## **Model based on feat2**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "YUAQO_SDpVvo" + }, + "source": [ + "**Split**" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "executionInfo": { + "elapsed": 1038, + "status": "ok", + "timestamp": 1603879496492, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "FtcqTGZXqUL-" + }, + "outputs": [], + "source": [ + "# Split and Scale the data\n", + "\n", + "X_train = df_train[feat2]\n", + "y_train = df_train['Type']\n", + "\n", + "X_test = df_test[feat2]\n", + "y_test = df_test['Type']\n", + "\n", + "scaler2 = StandardScaler()\n", + "scaler2.fit(X_train)\n", + "X_train = scaler2.transform(X_train)\n", + "X_test = scaler2.transform(X_test)\n", + "y_train = y_train\n", + "y_test = y_test\n", + "\n", + "random_state = 110" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "executionInfo": { + "elapsed": 766, + "status": "ok", + "timestamp": 1603879502401, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "Yqw4_NLSEQNv", + "outputId": "9371080d-dc12-42c0-ecba-0aca9f789beb" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "343" + ] + }, + "execution_count": 54, + "metadata": { + "tags": [] + }, + "output_type": "execute_result" + } + ], + "source": [ + "len(df_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "executionInfo": { + "elapsed": 737, + "status": "ok", + "timestamp": 1603879504513, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "mTcD8nUdtl5b" + }, + "outputs": [], + "source": [ + "#Random forest classifier\n", + "# define the baseline model\n", + "baselineModel = RandomForestClassifier(random_state=random_state) " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "satHWwgnuRVC" + }, + "source": [ + "**Hyper-parameters tunning**" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 202 + }, + "executionInfo": { + "elapsed": 932613, + "status": "ok", + "timestamp": 1603880440759, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "0GOSUOhRtwc5", + "outputId": "751a098b-6cf9-403d-95c7-0bd6082b6dae" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting 5 folds for each of 450 candidates, totalling 2250 fits\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", + "[Parallel(n_jobs=4)]: Done 42 tasks | elapsed: 15.3s\n", + "[Parallel(n_jobs=4)]: Done 192 tasks | elapsed: 1.3min\n", + "[Parallel(n_jobs=4)]: Done 442 tasks | elapsed: 3.0min\n", + "[Parallel(n_jobs=4)]: Done 792 tasks | elapsed: 5.4min\n", + "[Parallel(n_jobs=4)]: Done 1242 tasks | elapsed: 8.5min\n", + "[Parallel(n_jobs=4)]: Done 1792 tasks | elapsed: 12.3min\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "best model parameters: \n", + " {'bootstrap': True, 'max_depth': 10, 'max_features': 2, 'min_samples_leaf': 2, 'min_samples_split': 10, 'n_estimators': 10}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=4)]: Done 2250 out of 2250 | elapsed: 15.5min finished\n" + ] + } + ], + "source": [ + "# Hyper-parameters\n", + "#RF\n", + "model_parameters_RF = {\n", + " 'bootstrap': [True],\n", + " 'max_depth': [10, 20, 50, 100, 500],\n", + " 'max_features': [2],\n", + " 'min_samples_leaf': [1, 2, 3, 4, 5],\n", + " 'min_samples_split': [2, 5, 10],\n", + " 'n_estimators': [10, 50, 100, 200, 500, 1000]\n", + "}\n", + "#Cross-Validation\n", + "# Instantiate the grid search model\n", + "model_parameters=model_parameters_RF\n", + "grid_search = GridSearchCV(estimator=baselineModel, param_grid=model_parameters,\n", + " cv=5, n_jobs=4, verbose=1)\n", + "\n", + "# Fit the grid search to the data\n", + "grid_search.fit(X_train, y_train)\n", + "print ('best model parameters: \\n', grid_search.best_params_)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UfbVpwD2wVAC" + }, + "source": [ + "**Evaulate the model**" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 386 + }, + "executionInfo": { + "elapsed": 771, + "status": "ok", + "timestamp": 1603880740159, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "BxB91dxAtH8K", + "outputId": "b8452fb1-484c-4cda-c298-154cd250be45" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "**Train set**\n", + "Confusion matrix = \n", + " 0 1\n", + "0 204 0\n", + "1 4 135\n", + "best model on train set: \n", + " accuracy = 0.99,\n", + " precision = 0.98,\n", + " recall = 1.00,\n", + " f1_score = 0.99 \n", + "\n", + "**Test set**\n", + "Confusion matrix = \n", + " 0 1\n", + "0 66 10\n", + "1 7 39\n", + "best model on test set: \n", + " accuracy = 0.86,\n", + " precision = 0.90,\n", + " recall = 0.87,\n", + " f1_score = 0.89 \n" + ] + } + ], + "source": [ + "#Evaluate the best model\n", + "best_model2 = grid_search.best_estimator_\n", + "print ('\\n**Train set**')\n", + "accuracy, precision, recall, f1_score = evaluateTrainedModel(best_model2, X_train, y_train)\n", + "print('best model on train set: \\n accuracy = {:6.2f},\\n precision = {:6.2f},\\n recall = {:6.2f},\\n f1_score = {:6.2f} '.format(accuracy, precision, recall, f1_score ))\n", + "\n", + "print ('\\n**Test set**')\n", + "accuracy, precision, recall, f1_score = evaluateTrainedModel(best_model2, X_test, y_test)\n", + "print('best model on test set: \\n accuracy = {:6.2f},\\n precision = {:6.2f},\\n recall = {:6.2f},\\n f1_score = {:6.2f} '.format(accuracy, precision, recall, f1_score )) " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kGxSdBH-1ntF" + }, + "source": [ + "**feature importance**" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 297 + }, + "executionInfo": { + "elapsed": 2244, + "status": "ok", + "timestamp": 1603880810214, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "Q0dxpRZUwZ92", + "outputId": "94321b71-8d8d-450a-d810-8db2af95d3d0" + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light", + "tags": [] + }, + "output_type": "display_data" + } + ], + "source": [ + "feats = {} # a dict to hold feature_name: feature_importance\n", + "\n", + "for feature, importance in zip(df_train[feat2].columns, best_model2.feature_importances_ ):\n", + " feats[feature] = importance #add the name/value pair \n", + " \n", + "importances = pd.DataFrame.from_dict(feats, orient='index').rename(columns={0: 'feature importance'})\n", + "\n", + "importances.sort_values(by='feature importance').plot(kind='bar',rot=90, color='black', legend= False, fontsize= 12,align=\"center\")\n", + "\n", + "plt.xlabel('Feature',size=14)\n", + "plt.ylabel('Feature Importance (-)',size=14)\n", + "plt.ylim((0,0.4))\n", + "plt.gca().yaxis.grid(True, which='major') \n", + "plt.tight_layout()\n", + "plt.savefig(pathToFolder+'featImportance_model2-2.png',dpi=600)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WjnsUXI46ghX" + }, + "source": [ + "**save model**" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "executionInfo": { + "elapsed": 750, + "status": "ok", + "timestamp": 1603880836820, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "W5gsG5OK1fib" + }, + "outputs": [], + "source": [ + "model_name = 'RF_model2-2.sav'\n", + "saveMLModel(best_model2,pathToFolder,model_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CPfUSvDaKkEj" + }, + "source": [ + "**load model**" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "executionInfo": { + "elapsed": 734, + "status": "ok", + "timestamp": 1603880849631, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "v7XlEltcw6j5" + }, + "outputs": [], + "source": [ + "model_name = 'RF_model2-2.sav'\n", + "model = loadMLModel(pathToFolder,model_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 168 + }, + "executionInfo": { + "elapsed": 899, + "status": "ok", + "timestamp": 1603880866950, + "user": { + "displayName": "F Deep", + "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhE7pxtLrc_Z9EpnTN8V5sDDHOROTHopeBjIsd1=s64", + "userId": "15619417569019825141" + }, + "user_tz": -60 + }, + "id": "aRnDhryR6Wk9", + "outputId": "557b0139-3b36-4a68-a24e-aa765758b145" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Confusion matrix = \n", + " 0 1\n", + "0 66 10\n", + "1 7 39\n", + "model 1-2 on test set: \n", + " accuracy = 0.86,\n", + " precision = 0.90,\n", + " recall = 0.87,\n", + " f1_score = 0.89 \n" + ] + } + ], + "source": [ + "#check\n", + "accuracy, precision, recall, f1_score = evaluateTrainedModel(model, X_test, y_test)\n", + "print('model 1-2 on test set: \\n accuracy = {:6.2f},\\n precision = {:6.2f},\\n recall = {:6.2f},\\n f1_score = {:6.2f} '.format(accuracy, precision, recall, f1_score )) " + ] + } + ], + "metadata": { + "colab": { + "authorship_tag": "ABX9TyOnK3tsk6dGd9Xhi1/21E4R", + "collapsed_sections": [], + "name": "LandslideDetection_Model2.ipynb", + "provenance": [ + { + "file_id": "1LpgFRSztt1d-lFlW1MOcfskTYrzJaNif", + "timestamp": 1603873717998 + }, + { + "file_id": "1LHylKCXYVSXvECDc1VFMdRirWX1AcdRJ", + "timestamp": 1603381947484 + }, + { + "file_id": "1xpDL8H5UPmsCpMi1HYIuQXo6-6gxEcTl", + "timestamp": 1603104503917 + } + ] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/training_script/df4ML.csv b/training_script/df4ML.csv new file mode 100644 index 0000000..94a70c0 --- /dev/null +++ b/training_script/df4ML.csv @@ -0,0 +1,466 @@ +segment_id,area_m2,east,north,b4,b3,b2,b8,ndvi,ndvi_change,ratio_rg_change,brightness,brightness_change,gndvi,slope_max,slope_mean,nd_std,height_mean,height_min,height_max,Type +L0_S1,17900.0,312661.2011173184,131768.01675977654,546.7821229050278,897.1731843575418,944.2011173184359,3058.5530726256984,0.6934842667100151,0.0753029918443807,0.5341682285902887,0.7960521402305731,-0.14379476048260428,0.5425561857956082,43.19801330566406,27.588178155142497,0.051713050317081656,1266.1620111731845,1191.0,1329.0,0.0 +L0_S12,54800.0,314277.3905109489,131602.75547445257,590.4452554744526,930.8832116788319,959.5857664233577,3077.003649635037,0.6771098866949986,-0.12801274959759334,0.2707991080399412,0.8269714107261087,-0.005415642081751797,0.5345819119880669,26.35165596008301,13.395944277517989,0.02620694325917339,1038.985401459854,1004.0,1078.0,0.0 +L0_S210,16400.0,315188.5975609756,131301.21951219512,806.6463414634146,1082.5792682926829,1086.628048780488,2972.0487804878053,0.5696806089907158,0.03025005429893698,0.5109160564294676,0.9919512195558082,-0.2054997711419696,0.4611501223066958,36.18342208862305,14.654994063261077,0.1189556243806714,807.8231707317073,791.0,873.0,0.0 +L0_S223,8200.0,315548.41463414626,131315.73170731706,1116.8048780487804,1219.8170731707314,1228.7560975609756,2597.5,0.3999925635573341,-0.0567520539341608,0.4142576281617327,1.1884593563835797,-0.09693342308718256,0.35763035605593424,10.729084014892578,6.3698482687880364,0.11602756117538708,748.0,739.0,754.0,0.0 +L0_S308,400.0,314450.0,131170.0,846.75,1122.0,1082.0,3610.0,0.6200220733880997,0.13724013976752758,0.6387811154127121,1.0169166624546049,-0.29238811880350113,0.5254677832126617,31.465822219848636,31.465822219848636,0.04401295818388462,1017.0,1017.0,1017.0,0.0 +L0_S408,20500.0,314758.60975609755,130815.78048780488,548.1170731707317,908.4,955.8926829268293,3325.5219512195117,0.7154847575397026,0.04177438480802244,0.5102473828850723,0.8041365835724807,-0.14115751596485696,0.5692723239340434,17.448585510253903,12.536484451410248,0.04737279335173165,908.8585365853661,889.0,930.0,0.0 +L0_S459,17000.0,317047.8823529412,130730.9411764706,583.5235294117648,931.9117647058824,977.5588235294116,3385.558823529412,0.7039337813854217,0.03123131511794568,0.5582750898950241,0.8309980388949899,-0.2143902847872061,0.5660329471616184,6.65853214263916,4.671657295788036,0.03806892448269269,648.6411764705882,643.0,654.0,0.0 +L0_S501,117600.0,313306.7602040817,130347.38945578232,1442.7857142857142,1506.7474489795916,1461.0102040816328,2794.6284013605436,0.3232095247121895,0.4471104573205012,0.8541772209462666,1.4701811225235868,-0.8139682674058237,0.2959204700642398,38.53942489624024,11.357191773701686,0.19240849063459306,1043.094387755102,946.0,1208.0,1.0 +L0_S527,300000.0,314894.0533333333,129416.72,1985.4323333333332,1887.064333333333,1783.4416666666666,2878.058,0.19587997098080812,0.4869454604987756,0.8547814856966337,1.8853127774794896,-1.1322875792092333,0.21299168768028415,20.27982521057129,6.312886173228423,0.17867552723021554,792.2139999999999,691.0,950.0,1.0 +L0_S783,21900.0,313867.14611872146,129876.09589041096,577.1278538812785,892.4794520547945,959.6940639269408,3023.785388127854,0.6785159671687644,0.040152903638788616,0.4893028804156334,0.8097671237710404,-0.13117952842146294,0.5430882190732651,18.047025680541992,11.096560926742203,0.033726029259633264,1082.662100456621,1061.0,1099.0,0.0 +L0_S797,12200.0,316195.2459016393,129953.19672131148,629.0491803278687,995.1065573770493,1003.2540983606557,3225.606557377049,0.6726617612799661,0.002414119075869256,0.4197478243073479,0.8758032786064459,-0.08124305628484389,0.5275376996055978,13.910819053649902,8.10821665896744,0.03949730499784966,760.0327868852459,745.0,767.0,0.0 +L0_S846,13700.0,317186.9708029197,129822.29927007301,578.2116788321168,948.7153284671533,980.102189781022,3669.7664233576643,0.7225173609535189,0.057073512236948,0.5423599986264306,0.8356763977203926,-0.1526643934584882,0.5841834658253802,10.459335327148438,4.0037102037972785,0.060242579855623035,634.2554744525548,629.0,647.0,0.0 +L0_S885,23100.0,315244.2640692641,129674.04761904762,1273.2857142857142,1225.0865800865802,1199.2294372294373,2924.506493506493,0.3925039997864595,0.028581896136663263,0.4892498315412761,1.232533912896078,-0.4125672764592356,0.39879597233229386,9.374117851257324,6.286587986595187,0.19579775741089991,784.7229437229437,768.0,803.0,0.0 +L0_S901,14000.0,313953.5714285714,129651.42857142855,534.7642857142856,881.3428571428572,943.5071428571428,3176.6,0.7103812238999776,0.058182923003499004,0.5160974355680602,0.7865380955593927,-0.13173054898423808,0.5639787857021604,32.81203842163086,16.378382151467463,0.04971287650987506,1087.65,1040.0,1103.0,0.0 +L0_S941,18600.0,314313.17204301077,129475.96774193547,557.6720430107526,945.962365591398,966.6129032258065,3689.784946236559,0.7367139019632852,0.012500029935269,0.4731425856069852,0.8234157741710704,-0.12397426217594132,0.5912135801007671,22.28996086120605,16.524717038677586,0.0321570930111232,931.0913978494624,900.0,969.0,0.0 +L0_S960,11400.0,316220.96491228073,129535.26315789473,522.1842105263158,893.6228070175439,952.0263157894735,3786.385964912281,0.7536134866246006,-0.02385388158278115,0.365496555964152,0.7892777783828869,-0.07566423862437277,0.6130101787939406,33.09044647216797,25.518367909548573,0.04548449623970348,711.5350877192983,659.0,751.0,0.0 +L0_S984,22800.0,316105.35087719304,129440.48245614035,522.7587719298245,868.1184210526317,953.0263157894735,3556.236842105264,0.7406475230267173,-0.04645774954840083,0.3878922849370722,0.781301169803268,-0.008120412195319403,0.6038595764783391,30.27495574951172,18.171603116027093,0.02579020832567231,733.9078947368422,697.0,753.0,0.0 +L0_S1038,15900.0,314827.2012578616,129306.25786163525,628.4465408805031,1017.8993710691824,1012.4025157232704,3486.201257861636,0.694062812898144,0.00975217711743855,0.4708939249035698,0.8862494755091157,-0.20022792847089046,0.5474227674352298,21.36855697631836,10.654597079978801,0.051626572549436825,783.0188679245282,774.0,811.0,0.0 +L0_S1071,8900.0,314331.1797752809,129273.65168539324,642.876404494382,990.9550561797753,1002.6966292134832,3274.0224719101125,0.669768774777316,0.0009099286722589619,0.4378638669346156,0.8788426953755067,-0.0904172913621316,0.5332232244898764,17.815134048461914,11.898398185044194,0.04243266207867124,907.0449438202247,894.0,925.0,0.0 +L0_S1080,1500.0,317027.0,129259.0,669.9333333333333,1030.1333333333334,1037.8666666666666,3457.866666666667,0.6732229828834534,-0.08385125529021024,0.3628668824831645,0.9126444419225056,-0.001775444174806277,0.5388625522454579,8.339415550231934,6.677874914805094,0.1051974967122078,607.1333333333333,604.0,611.0,0.0 +L0_S1121,23600.0,315893.7288135593,129074.32203389832,590.2627118644067,911.6779661016948,989.1525423728813,3053.817796610169,0.6739181743587478,-0.039835542286016136,0.37970892377829146,0.8303644096447249,-0.03495975673557318,0.5371436739371995,17.9431209564209,11.42155435176219,0.1196061562967755,716.2966101694914,698.0,736.0,0.0 +L0_S1129,17400.0,314481.7816091954,129054.42528735632,579.7873563218392,925.0172413793103,978.603448275862,3363.959770114943,0.7024240404710003,0.029810011618572958,0.4789115120282119,0.8278026817173794,-0.0930902725483703,0.5653087541289713,30.76630401611328,17.916505386089455,0.03886224650617304,831.9425287356323,799.0,859.0,0.0 +L0_S1225,24200.0,315674.1322314049,128734.58677685949,826.3595041322315,1117.7190082644631,1114.2355371900826,3366.504132231405,0.6038866643447521,-0.04628982291314443,0.4234974083821635,1.019438016020562,-0.14238209175528027,0.4982570274925429,7.875936508178711,5.096593110029363,0.12812850341847368,701.5619834710744,690.0,714.0,0.0 +L0_S1621,13000.0,313622.23076923075,127792.38461538461,526.5153846153846,875.8076923076923,960.3,3336.1769230769232,0.7254028201103211,-0.007088929425495176,0.4153912661167292,0.7875410249600043,-0.0019057521710027891,0.5817454622342036,31.50442886352539,20.47636770101694,0.027355112507939337,880.6,849.0,904.0,0.0 +L0_S1704,17200.0,316158.5465116279,127575.0,1316.6918604651162,1392.406976744186,1456.3488372093025,2306.7267441860463,0.26888657123023685,0.07126386921858242,0.457093715840994,1.3884825595589572,-0.09839712881427637,0.2400290645593994,5.3924665451049805,3.883729005968848,0.1357971268251192,621.3837209302326,614.0,631.0,0.0 +L0_S1709,15100.0,313000.6953642384,127598.77483443708,570.4437086092714,958.2781456953644,995.5960264900664,3114.4105960264897,0.6834021163302542,-0.0899524702644284,0.2793132838429205,0.841439293315079,0.02847814969394652,0.5209393157864248,18.14838409423828,8.70480694676077,0.04360262881841091,921.41059602649,906.0,930.0,0.0 +L15_S104,24600.0,642236.6260162601,3972413.699186992,536.8577235772358,812.5813008130083,848.9918699186992,2864.0691056910573,0.6829687209148717,0.019272402343453798,0.5255164203605032,0.7328102976326051,-0.18475090273148645,0.5563865477234368,30.08966445922852,18.506113381889772,0.04131549126582175,690.9024390243902,655.0,729.0,0.0 +L15_S114,23700.0,641254.7046413502,3972388.9662447255,486.64135021097053,767.3248945147681,837.8185654008438,2805.873417721519,0.7037414282183104,0.017568064930422414,0.5650690827943101,0.6972616050816789,-0.1383246082796829,0.5697390990418221,32.195571899414055,21.47102871424035,0.02589254379901202,503.28270042194094,459.0,571.0,0.0 +L15_S122,109300.0,640456.912168344,3972265.8142726435,1474.668801463861,1232.310155535224,1213.7493138151876,2367.089661482159,0.2401616721050192,0.31637533338530005,0.8319688969430635,1.306909422316032,-0.4496225149107437,0.3161515307639132,39.895118713378906,19.04637467675763,0.12539318847416306,403.4318389752974,331.0,455.0,0.0 +L15_S202,37000.0,643679.2432432432,3972113.513513514,515.3675675675676,786.2378378378377,830.1837837837837,2866.502702702703,0.6943139280016358,0.010060020014635802,0.493691648744248,0.7105963967941903,-0.15433534046484007,0.5681697462861602,27.49749755859375,16.42862655600986,0.04207517115550267,778.0297297297298,748.0,815.0,0.0 +L15_S207,20300.0,640336.5763546798,3972161.8965517236,1212.0098522167489,1160.0295566502464,1175.960591133005,2191.817733990148,0.2915930908008162,0.15932227811991728,0.6216338774547201,1.182666661704115,-0.2617819590741778,0.30815095054398617,39.74285888671875,34.51905562490078,0.09272038852199543,336.42857142857144,290.0,384.0,0.0 +L15_S244,13500.0,640014.3333333335,3972048.777777778,879.9629629629628,1069.3925925925926,1075.7851851851854,2456.3925925925932,0.4678434084962915,0.16624518596670693,0.6145911404380092,1.0083802457208986,-0.17981453869077896,0.3888348086564629,29.11571502685547,21.472363139964923,0.0942277058131165,179.7037037037037,147.0,217.0,0.0 +L15_S259,672700.0,641134.622417125,3971500.1048015463,1589.404638025866,1303.9980674892226,1268.5079530251226,2457.773301620336,0.22018133635090406,0.3278781326659731,0.8558731040602651,1.3873035539325391,-0.5288862770811494,0.3066459497473154,42.23184585571289,21.60068062491415,0.11167511044872278,409.4428422773896,165.0,699.0,0.0 +L15_S304,19100.0,643518.1413612566,3971890.9162303675,485.2460732984293,775.2303664921466,819.3036649214661,2886.0890052356017,0.7101659372214871,-0.0016030101913925875,0.4851655192400148,0.6932600349655951,-0.14827327492661502,0.5747713988051989,28.65462875366211,21.267502769749825,0.048412984120050025,799.1884816753927,763.0,840.0,0.0 +L15_S325,20700.0,642983.8888888889,3971791.570048309,522.3429951690821,791.4009661835747,840.4106280193238,2782.666666666666,0.6822702772375466,0.01336780919160262,0.5014943054332826,0.7180515300248556,-0.14141367360553592,0.5553090327603806,35.60741806030273,18.059200761398827,0.05223363895275167,725.5893719806762,686.0,768.0,0.0 +L15_S329,29300.0,642389.3344709898,3971695.0341296927,505.7201365187713,817.2627986348123,837.9351535836178,3090.976109215017,0.7174895407803636,-0.002443246025579027,0.480802871159726,0.7203060299056382,-0.16248713646071355,0.5802735586622062,33.76552200317383,20.539857027880572,0.058346890319939775,633.7098976109215,594.0,673.0,0.0 +L15_S330,31300.0,642517.1086261981,3971749.664536741,532.0607028753993,795.0511182108626,845.0926517571886,2802.2939297124603,0.6789030625987739,0.010076454693279785,0.5199106349922217,0.7240681570178022,-0.17105919496415142,0.5555287172047856,35.142635345458984,23.086805876832422,0.05236952903028875,662.7539936102238,614.0,699.0,0.0 +L15_S485,10000.0,643513.9,3971372.8,1564.43,1322.97,1268.89,2548.26,0.2410485164821148,0.25449948871508243,0.7273264354467393,1.3854299950599671,-0.3823541892599314,0.3159407815337181,32.974761962890625,29.689585285186766,0.1111231977492571,830.14,799.0,872.0,0.0 +L15_S498,19600.0,640605.2551020408,3971311.1224489794,1074.2704081632653,1159.7653061224491,1148.8010204081634,2243.734693877551,0.35290719188597736,0.17330427941086948,0.6174531022504884,1.1276122456302449,-0.20484386909068847,0.3184394457814645,42.354087829589844,34.3242966009646,0.06913193125201733,213.59183673469386,161.0,274.0,0.0 +L15_S858,13700.0,641726.7518248175,3970394.197080292,1718.7007299270074,1549.9343065693429,1522.8759124087592,2046.5620437956204,0.09561386462861847,0.3767250812184201,0.7138531199336922,1.597170318130159,-0.676815153799788,0.14304375490785515,39.30852127075195,31.788921119522875,0.07277850883530222,291.84671532846716,247.0,338.0,1.0 +L15_S892,18700.0,641541.8983957219,3970276.6577540105,1474.4224598930484,1365.7967914438502,1408.6417112299466,1739.0267379679144,0.0864692694771497,0.4154383540153504,0.7767532279784667,1.4162869918792642,-0.5274100744309911,0.12315292243053888,40.50297546386719,34.338108939920524,0.07977918331277244,161.54545454545453,73.0,268.0,1.0 +L15_S897,11600.0,641751.1206896552,3970301.5517241373,1739.2758620689654,1603.6810344827584,1585.7931034482758,1969.698275862069,0.06893440588489817,0.2423390564348163,0.590437705917605,1.6429166629396637,-0.5868141508564867,0.10627058710389096,44.03478240966797,35.34405075270554,0.05312856581415338,236.93965517241375,185.0,307.0,1.0 +L15_S920,30500.0,641599.655737705,3970127.2622950817,1666.6131147540984,1506.2524590163935,1497.7311475409836,1777.8524590163934,0.03382821837659605,0.2441698487390016,0.6453257466925949,1.5568655756653331,-0.4343995452110396,0.0844371266682159,44.38460922241211,35.43034050738225,0.024379216555933482,90.48852459016392,0.0,252.0,1.0 +L15_S921,15100.0,641819.3708609272,3970223.476821192,1903.4039735099334,1725.2582781456954,1679.708609271523,2038.8278145695365,0.03881686745338305,0.27161876968299314,0.6879600570691342,1.7694569502445243,-0.7767389231170251,0.08594289069242825,45.07796478271485,36.502206284478795,0.04314037034941825,225.76821192052984,141.0,285.0,1.0 +L15_S937,10100.0,641726.2871287129,3970184.702970297,1865.5841584158413,1716.5148514851487,1708.4653465346537,1906.80198019802,0.01098271999663747,0.172383151948452,0.5559207363293903,1.7635214517612268,-0.43928624123408655,0.052240140934354896,45.07796478271485,36.831497286806005,0.020582225081501617,164.27722772277227,115.0,209.0,1.0 +L15_S942,12100.0,641635.9917355372,3970184.8347107437,1757.9256198347107,1583.01652892562,1573.6776859504132,1878.2561983471076,0.03671727706110567,0.3692561063515253,0.7358624895742117,1.63820661000969,-0.67433542396473,0.08991742134094237,41.63002014160156,35.59776403884257,0.022676888630102,144.87603305785126,87.0,201.0,1.0 +L15_S951,12300.0,641485.243902439,3970139.471544716,1669.6910569105692,1549.7723577235772,1554.9268292682927,1740.081300813008,0.020676736164804,0.20186996338813284,0.6049551629438633,1.5914634165725088,-0.4330922675989114,0.057560071188244764,44.38460922241211,33.38766137565055,0.03380245754752702,56.081300813008134,1.0,130.0,1.0 +L15_S964,11500.0,641836.8260869565,3970114.478260869,1844.0608695652172,1696.0434782608695,1673.6260869565217,1956.9130434782608,0.03417998987437307,0.4153572069562,0.7409904241561891,1.7379101442254108,-0.7996333282926809,0.07476315436803778,39.926605224609375,34.808996349832285,0.04875282692196577,167.66956521739132,85.0,229.0,1.0 +L15_S981,14100.0,641682.2340425532,3970035.6382978717,1793.886524822695,1669.2836879432625,1647.6382978723404,1811.8297872340424,0.005394712478130501,0.16579700452903062,0.6010437890992942,1.7036028373325969,-0.4791381722910607,0.041574119174099984,40.59044647216797,30.416066641503196,0.027897936503356653,63.418439716312065,0.0,157.0,1.0 +L15_S994,12600.0,641451.3492063492,3970033.2539682537,1531.5793650793648,1476.642857142857,1538.2380952380954,1474.3174603174602,-0.034851838990266164,0.03192392748268691,0.5889828224030752,1.515486767367711,0.3752314892102269,-0.017129235503648126,43.146484375,6.9773548240699474,0.05642753264438065,1.9761904761904765,0.0,22.0,1.0 +L15_S1009,12100.0,641792.2727272727,3969943.8429752076,1692.8264462809918,1597.5371900826447,1626.388429752066,1808.0991735537189,0.034755476854341334,0.2275416551294392,0.6199765451683485,1.6389173554980063,-0.4417716074794577,0.06279636073370719,39.02790832519531,31.819340059579893,0.08969854363355755,52.752066115702476,2.0,132.0,1.0 +L15_S1017,23800.0,641696.9747899161,3969932.8151260493,1718.4915966386554,1651.4873949579835,1695.5378151260504,1697.6638655462186,-0.011156503373425369,0.07437758738793307,0.5571898030383247,1.6885056034857486,-0.017284462112980355,0.005741232664088577,39.10060119628906,17.910319825180434,0.048095928923766906,24.336134453781508,0.0,107.0,1.0 +L16_S469,27400.0,414086.9343065693,5305394.635036496,1263.0,1100.0255474452554,1133.912408759124,1804.5328467153288,0.17787838836003395,0.02910288516825055,0.4950841774035544,1.1656459848376086,0.04011769127901327,0.24140988450742115,34.954708099365234,22.397667451496538,0.05212257458508885,556.5656934306569,509.0,598.0,0.0 +L16_S991,25300.0,412998.87351778656,5304075.039525691,1023.3083003952568,1020.5849802371539,1088.189723320158,1605.695652173913,0.2417445183895425,0.2401372537255221,0.7511994932951193,1.0440276696276758,-0.38776038379294303,0.2288874091926535,40.125709533691406,27.259708683481325,0.16418492314019226,442.7667984189723,385.0,489.0,1.0 +L16_S1032,29900.0,413081.6889632107,5303929.013377926,670.6354515050168,787.1070234113713,883.0702341137123,1736.8528428093646,0.4484584737141978,0.03552779308200992,0.5258075427450862,0.7802709010133775,-0.05341582353443708,0.3728749547963557,39.82567596435547,21.268933449301826,0.1627438956479165,449.494983277592,387.0,494.0,0.0 +L16_S1039,16200.0,412188.8271604938,5303940.864197532,1046.3271604938273,960.1296296296297,1012.0493827160493,1979.4567901234568,0.3099530210465561,0.0071108553826361234,0.5011342890836574,1.006168723842244,-0.03807307870010845,0.3464231934444404,14.974874496459961,7.500605128429553,0.06507363073803761,745.5,725.0,757.0,0.0 +L16_S1068,9300.0,411210.6989247312,5303884.784946237,1004.7956989247313,933.7956989247313,1005.3225806451613,1792.548387096774,0.283809868078078,0.030373086556053714,0.5345233720476911,0.9813046583565332,-0.04718670560677926,0.3151417050951271,27.807239532470703,11.565711621315248,0.09210307503579764,708.3333333333335,685.0,714.0,0.0 +L16_S1104,15700.0,412685.127388535,5303772.133757962,663.7898089171973,760.4522292993629,857.1910828025477,1703.2547770700635,0.4396909537968362,0.003198761541350407,0.5574574178191507,0.7604777068848823,-0.08878583182390945,0.3800010876670765,40.38692092895508,34.37992370508279,0.08430956152214368,622.796178343949,547.0,692.0,0.0 +L16_S1115,11800.0,411023.8135593221,5303705.423728813,803.2203389830509,839.0762711864406,914.8644067796613,1874.127118644068,0.4030455036436097,0.017004710966444937,0.4967818964841002,0.8523870085255575,-0.0458076748981188,0.3816865427514254,14.930075645446776,9.578923673953039,0.08340082990037183,731.6271186440677,716.0,746.0,0.0 +L16_S1250,18600.0,411895.9139784947,5303358.333333333,1099.47311827957,988.8870967741935,1044.9032258064515,1923.7043010752689,0.2756263874871757,0.015540650103424904,0.5179527866583998,1.044421147915625,-0.02414989642983851,0.32120745989584154,24.55607414245605,14.904746542694747,0.06742392953044625,755.494623655914,727.0,784.0,0.0 +L16_S1390,26300.0,412000.96958174906,5303040.7794676805,1341.9771863117874,1122.5209125475283,1154.4334600760455,2062.657794676806,0.21211898349537145,0.03451729184344142,0.5398058172867779,1.206310520380622,-0.004920574725578325,0.2946906708492525,24.936283111572266,14.473033402809172,0.041910179766751966,703.8250950570343,678.0,719.0,0.0 +L17_S349,30400.0,398562.92763157893,4699053.782894737,393.4276315789474,646.0657894736843,734.0822368421052,3617.0986842105267,0.8027641841847646,-0.2661046159796809,0.3100547139091711,0.5911918851105791,-0.1276084224227816,0.6957380259899717,32.07305908203125,21.6412708257374,0.011920591574284788,1367.608552631579,1323.0,1441.0,0.0 +L17_S384,22500.0,400773.9777777777,4699010.466666667,429.64888888888885,772.1777777777777,785.7777777777777,3867.524444444444,0.7997024154663086,-0.2612263762950897,0.25418183624744417,0.662534814675649,-0.2412325944668717,0.6667644341786703,26.400188446044922,20.72086294386122,0.01906672692133321,854.1911111111111,804.0,903.0,0.0 +L17_S406,36200.0,401147.81767955795,4698899.1160221,501.2292817679558,848.0359116022099,826.7348066298343,3780.383977900553,0.7654399503001851,-0.2033416657034534,0.22866472675984734,0.7253333336740567,-0.2948700439246649,0.6329499565435378,23.088308334350586,18.09428135466181,0.0502088762387551,803.6187845303868,755.0,872.0,0.0 +L17_S452,70500.0,397709.17021276604,4698752.120567376,854.7659574468087,1010.1659574468083,951.8,3355.1815602836878,0.5932997668043096,-0.3118860276402734,0.6218740945589458,0.9389106381869484,-0.2172111729242928,0.5356766322403089,36.17751693725586,28.877072309940424,0.06910231674605227,1759.2283687943266,1641.0,1888.0,0.0 +L17_S493,34900.0,398745.4584527221,4698665.028653295,1129.1260744985673,1081.5616045845272,1087.272206303725,2902.67335243553,0.44961602025182335,0.0717994134562433,0.6712366190544172,1.0993199621708825,-0.5664175711999138,0.4579117843790519,32.38570022583008,23.86841147130403,0.17762867896083775,1390.3295128939828,1293.0,1541.0,1.0 +L17_S602,38900.0,401463.1233933162,4698406.491002571,445.5475578406169,754.1619537275064,796.6992287917736,3778.41645244216,0.7868214641867689,-0.13602656936739838,0.3255774572606565,0.665469581026651,-0.31087492027135616,0.6647763960159223,34.972347259521484,18.570374572185134,0.029063655255041575,800.4138817480721,735.0,860.0,0.0 +L17_S668,51100.0,399162.94520547945,4698200.068493151,478.6164383561644,755.7651663405087,782.7553816046968,4445.062622309198,0.8051820463280388,-0.22735860031790694,-0.0032226500842796545,0.6723789952972398,0.4046334815913276,0.7088693715704864,53.47894668579102,35.537086639852205,0.0743533235258348,1377.6262230919767,1263.0,1480.0,0.0 +L17_S669,69100.0,399181.64254703326,4698112.438494935,1120.4370477568739,1107.2966714905933,1116.4052098408104,2932.034732272069,0.4505227833296214,-0.011337241042990307,0.7415289430516501,1.1147129756496887,-0.6804158814122035,0.4491372007105699,45.43539428710938,26.4571597117246,0.1736946126874725,1321.9565846599132,1165.0,1510.0,1.0 +L17_S719,24600.0,397641.0162601626,4698018.048780488,1143.3536585365853,1212.9105691056911,1124.4756097560976,3160.1016260162605,0.468960867785826,0.001783843389166873,0.28349096555171943,1.1602466106414795,2.251547260497644,0.44515479810354186,41.648658752441406,35.547027479342326,0.05794935714362597,1871.5975609756094,1782.0,1949.0,0.0 +L17_S988,125300.0,400470.8180367119,4697182.0311253,420.7166799680766,701.2817238627295,762.7326416600158,4356.5826017557865,0.8237768901127009,-0.2406464216053099,-0.002263583477773673,0.6282436823426297,0.3306424318538148,0.7225133579726801,49.35647964477539,25.0590843612065,0.0289846548750396,1195.5490822027134,906.0,1341.0,0.0 +L17_S1379,43000.0,400269.6511627907,4695998.651162791,407.18604651162786,672.4186046511627,738.2046511627907,3907.116279069768,0.8104384795177815,-0.26533180388600325,0.15163198465286473,0.6059364345184592,0.04188490650984784,0.7052825002476226,48.06913757324219,26.970976140887238,0.027352375148384032,1499.6697674418604,1429.0,1581.0,0.0 +L17_S1433,23000.0,400562.73913043475,4695903.956521738,401.7173913043478,693.6260869565217,740.5782608695653,4316.5,0.8290552660174991,-0.28654433579548544,0.027558167072081984,0.6119739102280658,0.3240805999547972,0.7221900522708893,44.9666748046875,25.29594318763069,0.015996438276994488,1427.6260869565217,1349.0,1474.0,0.0 +L18_S676,26400.0,734989.9242424242,5048311.515151517,309.5719696969697,556.3825757575759,689.9507575757576,2341.6704545454545,0.7391105497425253,-0.0349353371039163,0.491224630086711,0.5186351002617315,0.005053375571426868,0.5788204630441738,72.75984191894531,26.631293554197654,0.07750073782958541,91.2310606060606,44.0,298.0,0.0 +L18_S755,296400.0,736526.2112010797,5047939.510796221,582.4267881241567,685.7081646423752,809.8201754385965,1313.780701754386,0.36236866556614505,-0.18517138787469692,0.716609888804345,0.6926517091822206,-0.2093154191322617,0.2777901188200673,66.9805908203125,43.952148298502934,0.11054821993637826,1089.1457489878544,602.0,1596.0,0.0 +L18_S905,89700.0,735131.4548494982,5047646.059085841,542.7670011148272,657.5685618729098,773.7012263099218,1620.4448160535114,0.4875912844237675,-0.0036005734637589376,0.6667110767119971,0.6580122620897283,-0.11559380478925955,0.4057052287054035,52.30277633666992,32.16890530814827,0.11238487632561024,221.07023411371242,59.0,422.0,1.0 +L18_S937,28100.0,733479.5907473309,5047624.964412811,324.9466192170818,574.6370106761566,678.9466192170819,2269.1387900355867,0.7454368209075249,0.011772131635698443,0.4874101380860678,0.5261767503417684,0.021166635469400515,0.5900463433240232,61.32064819335938,36.459553402938035,0.031591760574631214,419.932384341637,224.0,534.0,0.0 +L18_S1067,19100.0,735101.3350785341,5047423.272251309,335.90052356020936,552.869109947644,690.2303664921466,1636.7068062827225,0.6576476334277248,-0.08894643493448336,0.5382132890648866,0.5263333340901979,-0.04258367233747843,0.4911026197890336,38.2962532043457,30.232336433770147,0.09779964586359044,120.4869109947644,72.0,179.0,0.0 +L18_S1093,34500.0,735190.8840579711,5047322.507246377,514.8579710144927,646.9652173913042,783.1391304347826,1586.7623188405796,0.487849493259969,-0.15497446767057876,0.7082188866276672,0.6483207736326301,-0.16941870460759145,0.3946750811530628,53.86736297607422,32.84363470768583,0.13658482333024344,119.61739130434782,60.0,199.0,1.0 +L18_S1291,22800.0,736675.0438596491,5046865.52631579,954.1140350877192,948.9561403508773,993.6315789473683,2262.7236842105262,0.4056592416345027,0.015362806794208856,0.5285289854856959,0.9655672531378896,-0.036249030864079636,0.4071222423461446,52.218711853027344,37.58886660191051,0.06355748271667644,958.1929824561405,891.0,1035.0,0.0 +L18_S1392,30100.0,735510.4817275747,5046555.332225913,202.04983388704318,375.6644518272426,614.7408637873754,438.8405315614618,0.34522279186106203,-0.09497653887927396,0.5066883233298495,0.3974850500540876,0.013827080442531474,0.05272033750087307,65.68158721923828,57.3998420436517,0.11695276127750692,274.5448504983389,134.0,430.0,0.0 +L18_S1500,14600.0,736769.9315068494,5046405.410958904,440.58219178082186,690.431506849315,729.8698630136986,2659.376712328767,0.714590359224032,0.011001178036865098,0.5234215645349191,0.6202945211162306,-0.0034930409248324253,0.5866207511049427,49.44601440429688,41.044021632573376,0.06334390265433347,707.4041095890411,634.0,780.0,0.0 +L1_S311,19700.0,374621.040609137,3550319.2131979694,675.9238578680203,781.3045685279187,809.7817258883249,1569.6852791878173,0.3886221470264009,0.04022324263581505,0.4146031440060756,0.7556700500740012,0.19871255801636065,0.32461977708460715,43.10836410522461,29.44769267745429,0.16514503129469565,3640.5126903553296,3584.0,3716.0,0.0 +L1_S367,23600.0,371944.0254237288,3550172.881355932,385.72033898305085,651.3474576271186,652.7669491525422,3760.2203389830506,0.8115719986163964,-0.1754879768922041,0.13654739423102494,0.5632782485020362,0.28865526610259284,0.7023039538476427,63.56109619140625,27.927077968241807,0.07838112776467608,2376.8898305084745,2328.0,2446.0,0.0 +L1_S379,32900.0,373779.86322188453,3550179.3161094226,1098.3465045592702,1117.437689969605,1135.7781155015198,1328.917933130699,0.1039876353402026,0.5384294999435001,0.6513607020979594,1.1171874364096344,-0.3737927295641244,0.09261956323466496,53.93549728393555,37.397655069646866,0.1867448594194687,3358.0486322188453,3227.0,3445.0,1.0 +L1_S382,31100.0,373947.1221864952,3550115.5466237944,1084.5787781350482,1116.112540192926,1169.3279742765276,1102.405144694534,0.009194579114313942,0.460992711557261,0.4420539585340445,1.1233397653248531,0.3068887486371101,-0.005955430717765986,54.33275985717773,44.11947934497208,0.08308276297806065,3326.704180064309,3192.0,3445.0,1.0 +L1_S386,6300.0,374185.47619047615,3550184.523809524,818.9047619047618,892.7301587301587,920.3650793650794,1660.015873015873,0.3233760607147973,0.11560418009610167,0.4032218380579873,0.8773333364062839,0.3863862127302185,0.2849320175628813,37.95469665527344,33.89202257186648,0.2282051626178953,3445.285714285714,3416.0,3476.0,0.0 +L1_S412,10700.0,374028.83177570096,3550069.2056074766,1032.785046728972,1062.6261682242994,1100.7570093457944,1257.252336448598,0.09726323891065528,0.4037627836114892,0.4658640695509509,1.0653894098005563,0.037812444651238265,0.08120406816265259,52.72316360473633,40.7694898587521,0.2551150708763956,3307.6822429906542,3218.0,3401.0,1.0 +L1_S416,34500.0,373763.43478260865,3550041.5507246377,1192.6898550724636,1220.817391304348,1292.4,1170.1681159420289,-0.0097742950895538,0.4958451997542727,0.3939157266547714,1.2353024152741916,0.31174003878891793,-0.02179807682767969,57.50873565673828,49.44034903705984,0.015615161044010218,3208.1536231884056,3096.0,3338.0,1.0 +L1_S422,18300.0,372330.5191256831,3550030.6284153005,424.7868852459017,658.8306010928961,676.9453551912567,2669.3879781420765,0.7211844033556558,-0.10230394016221024,0.22330226805162887,0.5868542795298529,0.25878465827045544,0.5974345308183973,48.69874572753906,23.55422393350653,0.13044506677838622,2341.2513661202192,2318.0,2441.0,0.0 +L1_S440,24700.0,371481.1943319838,3549905.8097165986,352.07287449392715,612.251012145749,617.3724696356276,2652.753036437247,0.7646377911934485,0.06735424476068633,0.3443371178167552,0.5272321187050236,0.2100410526580656,0.6239855953073694,44.16247177124024,38.83686059496181,0.027512994560937167,2664.6234817813765,2565.0,2796.0,0.0 +L1_S441,26400.0,372956.4772727273,3549955.1136363638,250.6590909090909,454.2878787878788,542.1174242424241,1725.166666666667,0.7103063395303307,-0.27764014120277186,0.4049997664423603,0.4156881310045719,0.06711611267052253,0.5362624080117905,61.96109008789063,49.15074430812489,0.09012841970913787,2824.0,2672.0,2960.0,0.0 +L1_S452,40600.0,372630.7389162562,3549835.4679802954,260.5197044334975,460.94334975369463,557.1995073891626,1605.9753694581284,0.6319898982059781,-0.24568102034781586,0.4015333293547184,0.4262208542947111,0.08252486738254743,0.44044590496866426,71.86148071289062,50.29674421037946,0.10818212895007262,2577.6034482758623,2417.0,2787.0,0.0 +L1_S455,27600.0,373880.72463768115,3549904.420289855,1070.858695652174,1105.7644927536232,1173.9891304347825,1096.7427536231883,0.014425698862844687,0.4743326067742285,0.4933550104066946,1.1168707697719769,-0.11420575433573728,-0.0028147531196262444,40.00183868408203,33.6888776862103,0.13812561581026006,3144.8405797101454,3054.0,3248.0,1.0 +L1_S500,62600.0,372471.3258785943,3549698.2268370613,306.7012779552716,516.9472843450479,592.6102236421725,1959.4568690095846,0.6652017825137312,-0.2679363523643573,0.41741696514260657,0.4720862623030385,0.052252941579970236,0.5009700090002519,69.27158355712889,47.45390770762873,0.10001261787453353,2457.916932907349,2305.0,2656.0,0.0 +L1_S507,14800.0,373544.3243243243,3549737.8378378376,1293.222972972973,1258.9527027027027,1275.304054054054,1307.7094594594596,0.00462300599040621,0.6176213326083647,0.5635597009111095,1.2758265822320372,-0.4246770147536252,0.01743903184900331,38.146881103515625,30.877106950089736,0.04584405829853101,2955.0743243243237,2912.0,3011.0,1.0 +L1_S513,8800.0,373653.1818181818,3549780.5681818184,1173.8295454545455,1187.159090909091,1236.2727272727273,1152.6931818181818,-0.009402414452779341,0.5770269598473202,0.4751612632112069,1.1990871199152686,-0.2794151024956425,-0.015850160956853706,35.54823684692383,30.983980850739908,0.011157521671107545,2999.556818181818,2929.0,3054.0,1.0 +L1_S516,32600.0,373364.57055214717,3549667.63803681,1227.6042944785274,1183.2208588957055,1187.9049079754602,1523.5337423312885,0.1109739918228913,0.5209557355775789,0.5358459090162639,1.1995766886904196,-0.3235890306546667,0.1277637043664306,38.81301879882813,34.19965474298395,0.15578067509251778,2883.69018404908,2792.0,3000.0,1.0 +L1_S517,11800.0,373686.9491525424,3549739.322033898,1023.6525423728813,1054.0169491525423,1125.2118644067796,994.8813559322034,-0.0144932746124588,0.5865178638595646,0.5165994788630534,1.067627121331328,-0.23135501021022076,-0.029812841126655814,36.30654525756836,30.685517876835192,0.013256287312734935,2988.389830508475,2931.0,3065.0,1.0 +L1_S542,20400.0,371894.9019607843,3549644.019607844,529.7843137254902,732.4411764705882,725.0098039215686,2428.18137254902,0.6444438692985797,0.04066406601458427,0.2674261109501708,0.6624117658710947,0.309589641844379,0.5367287581457811,69.87583160400389,49.093409594367536,0.0981238178507078,2554.803921568628,2399.0,2656.0,0.0 +L1_S561,15700.0,373387.8025477707,3549547.4840764333,1275.095541401274,1248.6433121019106,1272.9872611464966,1262.8089171974525,-0.004917226821683929,0.6105342617460118,0.5497992095673919,1.2655753717300997,-0.4059751382109466,0.005598430179399112,36.77777099609375,30.69234000041986,0.01995757108874572,2811.267515923567,2726.0,2905.0,1.0 +L1_S584,14500.0,373542.2413793103,3549520.034482758,1063.393103448276,1099.6827586206898,1179.8827586206896,1033.5793103448275,-0.01445338125159996,0.6314102633246059,0.5486465785010107,1.1143195374258634,-0.33535122671004,-0.0313432734539925,37.71508026123047,30.06146619073276,0.04307909728638057,2855.7034482758622,2774.0,2905.0,1.0 +L1_S600,12500.0,373421.8,3549484.92,1138.488,1164.552,1219.032,1098.152,-0.018174959589727226,0.6152821159362794,0.4650971040725708,1.1740239963531494,-0.2874881336688995,-0.029893784556072205,38.3413314819336,33.1675212097168,0.009339865449815991,2790.032,2731.0,2859.0,1.0 +L1_S612,10800.0,374217.77777777775,3549433.0555555555,337.0833333333333,599.925925925926,595.7870370370372,2903.4351851851848,0.791638657450676,-0.14935099254135922,0.1885063904165118,0.5109320983842567,0.2077623780954767,0.6567727967544839,46.47076034545898,39.319179464269574,0.08892785599110302,3203.740740740741,3100.0,3308.0,0.0 +L1_S628,200.0,373375.0,3549480.0,1225.0,1217.5,1212.0,1173.5,-0.02138509415090084,0.5856015682220459,0.6117769479751587,1.2181666493415833,-0.2488643899559975,-0.018310464918613437,27.68048667907715,27.68048667907715,0.008650068193674088,2776.0,2776.0,2776.0,1.0 +L1_S630,26100.0,374596.8390804598,3549345.0,353.93103448275866,633.3065134099618,601.6053639846742,2929.5134099616857,0.7825869038643964,-0.1590039128583938,0.1230550257299966,0.5296143047882679,0.2343195533643965,0.6424870865555102,50.133216857910156,37.64903488743808,0.03424836250942672,3314.383141762452,3195.0,3432.0,0.0 +L1_S639,13500.0,373342.6296296296,3549408.5555555555,1209.4814814814815,1220.4814814814815,1273.6666666666667,1176.474074074074,-0.014602315694490378,0.6160437862078348,0.5120450337727864,1.2345432135793897,-0.37264285693290056,-0.019915527784636386,39.69902420043945,33.77558369106717,0.015928207089503606,2727.4074074074074,2670.0,2809.0,1.0 +L1_S659,14700.0,371582.75510204077,3549306.2244897964,461.5442176870748,730.5306122448981,700.1224489795917,3074.4081632653056,0.7351120734701351,-0.11994523401052387,0.0703670865694555,0.6307324235942088,0.3570502478451956,0.6121381464458647,43.444114685058594,23.406059899297706,0.06308603271537898,2354.0,2333.0,2402.0,0.0 +L1_S666,25700.0,373899.82490272366,3549272.743190661,311.66926070038915,559.4824902723735,582.7859922178989,3116.622568093385,0.8174403472169364,0.03577601574479099,0.33787819493837395,0.4846459134311528,0.20847540432840933,0.6947100153229115,42.10441589355469,38.19267547548049,0.014057197024618141,2979.7509727626452,2872.0,3067.0,0.0 +L1_S672,28200.0,371790.1063829787,3549241.063829787,562.936170212766,788.3226950354609,759.0673758865248,2661.1560283687945,0.6469522767455865,-0.042264002736548255,0.16593898320240333,0.7034420802238139,0.36636248014286055,0.5393277323203729,56.21973419189453,29.16677679575927,0.06968602231631042,2352.31914893617,2313.0,2437.0,0.0 +L1_S710,28300.0,373340.371024735,3549075.1413427563,1212.434628975265,1226.1978798586572,1285.583038869258,1256.0070671378094,0.021159066143815897,0.6006228949861476,0.5315927997915989,1.2414051818763407,-0.4058178123942323,0.014316207457781362,40.093650817871094,29.10581604920512,0.17978425101827922,2582.2402826855123,2489.0,2673.0,1.0 +L1_S717,8700.0,374350.2873563218,3549177.528735632,285.5402298850575,534.6206896551723,559.6321839080459,2497.459770114943,0.7909854102408749,-0.17479381685167947,0.33348297387704084,0.4599310334386497,0.06855629130812554,0.6413606898537998,43.45064926147461,39.004284979283135,0.02513448883319038,3123.850574712644,3060.0,3182.0,0.0 +L1_S744,49900.0,373061.25250501,3548999.809619238,1274.7294589178355,1281.1643286573144,1328.8557114228454,1218.4749498997994,-0.022538233735040582,0.6282607149743364,0.4435467878897826,1.2949165023400453,-0.3624724392781038,-0.025124210417774583,38.550384521484375,29.97870778177448,0.008694572206250651,2511.8957915831666,2436.0,2604.0,1.0 +L1_S774,8500.0,372880.5294117647,3548988.529411765,1315.8823529411764,1321.835294117647,1375.2235294117647,1267.0823529411764,-0.019207167366574355,0.6123297754456015,0.4627584229497349,1.337647057982052,-0.3647583225194146,-0.02165663965690114,40.88800430297852,32.31909298616297,0.01025510312003248,2468.9529411764706,2416.0,2510.0,1.0 +L1_S803,20500.0,373010.85365853657,3548823.43902439,1330.3853658536584,1335.6536585365855,1388.4634146341464,1261.6195121951218,-0.026845496311988227,0.6360639970477034,0.4839908608576146,1.3515008118094467,-0.37054703947974416,-0.02922093332745135,41.8455810546875,32.69834978057117,0.01011105082792843,2395.448780487805,2344.0,2476.0,1.0 +L1_S815,10400.0,372683.75,3548869.1346153845,1414.1538461538462,1373.3461538461538,1394.1153846153845,1386.5096153846155,-0.009885403755246304,0.601294630422042,0.5326210624323442,1.3938717979651232,-0.3279429178398389,0.004581085450459236,39.01167678833008,21.28446164039465,0.012115325062320782,2348.067307692308,2331.0,2381.0,1.0 +L1_S821,35100.0,374096.8803418803,3548778.8461538465,319.3789173789174,566.4074074074074,590.4017094017094,2618.435897435897,0.7755274930570879,0.048802766096987985,0.3201241405770989,0.4920626783642674,0.2336323653530871,0.6347349069142274,61.684532165527344,45.286641427934,0.044586402849636525,2850.5982905982905,2691.0,2997.0,0.0 +L1_S825,32600.0,372374.0797546012,3548780.061349693,1359.0,1333.8220858895704,1366.8220858895704,1361.579754601227,0.0005099947871947434,0.6267858236296776,0.6159063248546577,1.3532147246635764,-0.4522357303649187,0.00864235000826627,28.514347076416016,13.991569874476802,0.044978482051655375,2304.09509202454,2286.0,2338.0,1.0 +L1_S826,21800.0,372248.57798165135,3548764.3119266056,1364.6834862385322,1347.5779816513761,1363.9311926605506,1471.596330275229,0.03702996747857686,0.5112440009182746,0.5247796031586621,1.3587308862340561,-0.2527562698302364,0.03940341311721601,16.723865509033207,8.577662776369566,0.1076325709641048,2295.045871559633,2287.0,2305.0,1.0 +L1_S835,22500.0,372646.46666666673,3548768.777777778,1311.8311111111109,1291.9377777777775,1335.7066666666667,1270.1955555555555,-0.016584582232171668,0.6365819239616394,0.5857607499758403,1.3131585216522217,-0.4282617142796517,-0.00924875907134265,23.08433723449707,11.767640173170301,0.011645320873293612,2334.4088888888887,2315.0,2359.0,1.0 +L1_S841,10800.0,374471.85185185185,3548750.0,316.9537037037037,600.3888888888888,589.4537037037038,3370.166666666666,0.8276536972434433,-0.07042797603881573,0.19688715985803693,0.5022654298830915,0.2672458778100985,0.6970858822266259,41.738380432128906,34.08130806463736,0.01461278372961614,3030.824074074074,2968.0,3111.0,0.0 +L1_S865,18100.0,372444.83425414364,3548689.8066298338,1426.646408839779,1389.9834254143645,1412.292817679558,1410.4972375690606,-0.006133475457478922,0.5703627439164325,0.4859978168873497,1.4096408818966777,-0.18030491187134293,0.006283624083876548,16.568662643432614,12.159993748638511,0.012531033624478138,2312.740331491713,2287.0,2328.0,1.0 +L1_S890,10900.0,372751.6055045872,3548610.0458715595,1322.9908256880733,1321.5045871559632,1372.1284403669724,1261.8165137614678,-0.02372048651252728,0.5989880531752875,0.5181705842324353,1.3388746156605011,-0.28940486098819096,-0.023571577703328205,20.239749908447266,10.061560687668829,0.0104899411217882,2307.3027522935777,2296.0,2318.0,1.0 +L1_S902,16700.0,371615.5389221557,3548569.251497006,303.0,535.1437125748503,583.2934131736528,2106.8922155688624,0.7468016265395159,-0.3478004869943607,0.414691387357826,0.4738123748830693,0.007211384862942989,0.5917876352093177,56.87152099609375,50.79494848651086,0.04493488795207646,2616.676646706587,2527.0,2743.0,0.0 +L1_S903,14700.0,372524.1156462585,3548544.1836734693,1484.095238095238,1440.333333333333,1453.5374149659867,1455.4489795918366,-0.01079191485373145,0.6706736740611848,0.5969489616196172,1.4593219992254869,-0.3835666273454471,0.0025829070556170762,16.008310317993164,10.947680135973457,0.01617827544584364,2295.517006802721,2284.0,2309.0,1.0 +L1_S909,18400.0,372625.3804347826,3548497.173913044,1364.3641304347825,1355.2228260869565,1396.9619565217392,1305.3641304347825,-0.024097656310756145,0.5983387701537298,0.4967234401923159,1.3721829652786257,-0.15644539268839214,-0.022843952214474404,18.17129135131836,8.88594040663346,0.01944831098207151,2293.668478260869,2277.0,2309.0,1.0 +L1_S924,12400.0,372236.53225806454,3548504.677419355,1416.1854838709678,1380.645161290323,1389.798387096774,1579.338709677419,0.05530104327701866,0.5991525447837287,0.6316408589482307,1.3955430143302487,-0.5330958768177116,0.06639716836141288,16.008243560791016,6.9908350148508624,0.1741058798957496,2298.201612903226,2288.0,2308.0,1.0 +L1_S936,14200.0,373740.7746478873,3548445.0704225358,403.79577464788736,685.4929577464789,660.9295774647887,2630.8732394366198,0.7325054331564568,-0.11783059201085233,-0.03630904518567931,0.5834061045881728,0.33015075462384963,0.584822845710835,40.27967071533203,36.856854479077846,0.02774988092534559,2422.521126760563,2387.0,2463.0,0.0 +L1_S937,47700.0,374083.9517819706,3548416.593291405,296.3186582809224,540.7316561844864,581.329140461216,2455.517819706499,0.7832542257988728,0.05317854471599871,0.3725157293258723,0.472793151497591,0.17879310429908446,0.6372997494613599,46.59254837036133,39.765323207063496,0.020082940985946537,2638.524109014675,2462.0,2810.0,0.0 +L1_S955,8800.0,373119.09090909094,3548390.6818181816,1288.4886363636365,1299.7272727272727,1370.0568181818182,1251.6704545454545,-0.015103036479228069,0.6426048461686481,0.538706726309928,1.3194242417812347,-0.3790053225715052,-0.01970830479992649,15.11167049407959,7.340777706016194,0.07618053918916055,2314.7727272727275,2305.0,2322.0,1.0 +L1_S1011,21000.0,371426.4285714286,3548205.476190476,413.88095238095235,701.7666666666668,648.4666666666667,3093.776190476191,0.7624700106325604,-0.07491050577037164,0.1783667689727043,0.5880380934193021,0.2623172256829483,0.6277753986063458,57.14770889282226,46.9713537579491,0.15308268108360826,2984.447619047619,2870.0,3194.0,0.0 +L1_S1020,18600.0,371879.7311827957,3548137.419354839,282.26881720430106,505.86021505376345,566.5483870967741,1712.8763440860214,0.7074131629159374,-0.26627009021498826,0.4051757821793197,0.4515591403169016,0.030166835919075194,0.5310018668251653,63.88627243041992,54.04995762404575,0.06825288423206857,2726.360215053764,2579.0,2831.0,0.0 +L1_S1038,10600.0,374568.39622641506,3548099.9056603773,332.8490566037736,586.6037735849056,610.3962264150944,2897.0,0.7931804015951337,-0.14984095265280525,0.12299549678024255,0.5099496844242204,0.3125760043567082,0.6621912953988561,42.911170959472656,35.944656012193214,0.0159544807700616,2690.820754716981,2633.0,2742.0,0.0 +L1_S1083,19200.0,374616.77083333326,3547942.760416666,395.22916666666674,675.25,659.1770833333334,3263.369791666666,0.7788062769298753,-0.16217541340544508,0.09729583589432876,0.5765520830949148,0.3407778679393232,0.6521956482902169,42.5477294921875,33.277804493904114,0.08002679959948485,2598.234375,2536.0,2672.0,0.0 +L1_S1084,10200.0,371971.66666666674,3547970.196078432,383.0686274509804,696.1176470588235,645.4607843137255,3706.7745098039222,0.8107911944389343,-0.4551537314466402,0.3730519323372373,0.5748823553908105,-0.04568757340494616,0.6819320467172885,55.36602401733398,38.78752055822634,0.0496356515761684,2671.6470588235293,2605.0,2729.0,0.0 +L1_S1113,22300.0,371631.2331838565,3547788.0493273544,300.1076233183857,565.609865470852,569.5784753363229,2378.7668161434976,0.7698786173166181,-0.3475044611549097,0.4010227839775684,0.4784319877891797,-0.017672871103230445,0.6069712356868879,65.69992828369139,46.21545487134446,0.0338698433202612,2999.179372197309,2859.0,3151.0,0.0 +L1_S1130,12200.0,374420.16393442615,3547832.7868852457,413.91803278688525,693.7540983606558,671.516393442623,3197.016393442623,0.7690772460620912,-0.1435696485835952,0.12657295252944606,0.5930628434556429,0.3103169045243107,0.6418126809303878,40.142913818359375,33.31543171992068,0.040618970868040304,2489.401639344262,2432.0,2535.0,0.0 +L20_S11,317700.0,589980.1589549889,9148172.551148882,1293.9238275102298,1044.0525653131886,1052.8545797922568,1881.1060749134406,0.18312175669711755,0.2653370713223123,1.039262383285093,1.1302769903420726,-0.16140905018769958,0.28302931577333085,26.4869384765625,14.42945914220465,0.07489312931058033,344.6449480642115,282.0,413.0,0.0 +L20_S240,31700.0,591361.8138801262,9147926.072555203,880.365930599369,913.8485804416404,944.7917981072555,2140.328075709779,0.4109138385260519,-0.1273069068732927,0.6138389463116318,0.9130021027210008,0.1647314719036104,0.3942061241022796,25.36103630065918,6.72293534639882,0.12848916184450926,369.5268138801262,345.0,383.0,0.0 +L20_S305,8300.0,591259.6987951808,9147883.554216867,1186.0843373493974,1042.6385542168678,1034.9156626506024,2095.385542168675,0.2770069605973829,0.05599722613479538,0.8313679221164749,1.087879513401583,-0.0012550586596108886,0.33368800544595145,9.801694869995117,5.754748534007246,0.1014020723032664,371.50602409638566,363.0,379.0,0.0 +L20_S610,98100.0,589606.896024465,9146927.660550458,674.0519877675841,837.5942915392458,889.4301732925586,2365.822629969419,0.5533037201770098,-0.5797863120363149,0.3503290001648525,0.8003588172395416,1.5742277410887675,0.4730981124164375,31.35179901123047,14.486917138950295,0.0896665005167143,385.04485219164116,358.0,421.0,0.0 +L20_S949,75300.0,591375.0664010624,9146199.674634794,1411.2231075697214,1169.0876494023905,1121.0239043824702,2099.21646746348,0.20251173668035155,0.2511490128840385,1.0160255588066691,1.2337782185074502,-0.3340736551727699,0.2840022309367875,39.128334045410156,24.358489756881795,0.17403867324272476,374.78751660026563,320.0,482.0,1.0 +L20_S1003,19500.0,592989.9743589744,9146143.153846154,924.6358974358974,919.3948717948718,965.5333333333333,2223.097435897436,0.4138716012239456,0.0568956855397958,0.8016999171330379,0.9365213666206752,-0.022495264916953882,0.4142537249968602,16.645288467407227,9.475121463873448,0.0911297445686964,417.91794871794866,401.0,428.0,0.0 +L20_S1134,27700.0,593032.6895306859,9145847.057761732,823.9025270758123,877.5992779783394,935.086642599278,2211.7653429602888,0.451291495497046,-0.009757778312277976,0.70098738205562,0.8788628156434758,0.05210160091267193,0.4244875858944676,17.44069480895996,7.921102441390069,0.08554413391525995,436.3032490974728,412.0,450.0,0.0 +L21_S184,488100.0,682321.7117393976,3697245.7109198924,412.2069248104897,704.0229461175987,862.6523253431674,2346.4665027658266,0.6934023642547305,-0.1825684306042853,0.1297384724302963,0.6596273992716644,0.3856882878252481,0.5263030181252133,46.96441268920898,19.227908997329575,0.051453034321174006,589.7652120467118,499.0,829.0,0.0 +L21_S390,27000.0,679108.1481481482,3697480.9259259263,375.9407407407408,674.4185185185186,853.6370370370372,1995.9777777777774,0.6636805242962307,0.13130663350500446,0.5346174868168654,0.6346654326827438,-0.14853120857366808,0.4719087281712779,48.84643173217773,27.66722482310401,0.0684159934727682,509.45555555555563,465.0,534.0,0.0 +L21_S409,25700.0,681763.3268482491,3697437.6070038914,408.54474708171205,680.2412451361868,862.0311284046692,1905.84046692607,0.6333813909658662,-0.10980721480681484,0.266666949853475,0.6502723744871087,0.1828796923059086,0.4551857272416701,49.55774307250977,26.445140354364295,0.06828798221764862,605.0778210116731,549.0,642.0,0.0 +L21_S757,67700.0,677946.3146233383,3696199.785819793,398.93353028064985,726.1536189069425,877.0221565731167,2438.9483013293943,0.7131723937202944,0.07423868099333474,0.5205583086834348,0.6673697683096285,-0.16044032711266062,0.5349076890346747,42.00667572021485,27.86943859258114,0.05299062524238488,396.2186115214181,295.0,526.0,0.0 +L21_S833,11500.0,679988.4782608695,3696111.260869565,1437.0,1294.017391304348,1311.9478260869564,2324.3565217391306,0.248643470911876,0.29684359602447924,0.8858672012453493,1.347655072937841,-0.6912823181113471,0.28770264011362323,34.009952545166016,21.859743711222773,0.20843190129684366,370.20869565217384,343.0,393.0,1.0 +L21_S884,18700.0,680150.5080213904,3695935.64171123,1433.3262032085559,1343.27807486631,1402.2406417112302,1933.3957219251333,0.15937602711233864,0.4742201644389387,0.8312410447686751,1.3929483017181967,-0.8207248415309876,0.17851434723489026,40.93738555908203,27.41296869165757,0.1147750254700528,250.55080213903744,197.0,310.0,1.0 +L21_S973,160900.0,680143.7321317588,3695499.611559975,496.94033561218146,779.2405220633934,937.9160969546302,2487.8931013051583,0.6563985610995476,-0.2327666601748018,0.12441001056599055,0.7380323178135437,0.8532908078012256,0.50913915663351,48.45711135864258,28.05021829142787,0.0669756016165546,265.85954008701054,175.0,404.0,0.0 +L21_S980,16600.0,680381.5060240964,3695570.3012048188,1298.4759036144576,1292.2710843373493,1383.0180722891564,1770.8072289156626,0.14211458679224107,0.1880352095860696,0.43314814226454995,1.3245883533753544,1.0491948659161487,0.14174370251926285,11.119806289672852,4.835885603025735,0.19094904646816024,178.86144578313252,174.0,184.0,0.0 +L22_S63,24200.0,675990.1239669422,3697876.7768595037,448.1528925619835,692.9421487603306,938.1074380165288,2355.3429752066118,0.6702891851752257,-0.18698397846430664,0.6344813719268673,0.6930674925323361,0.2434682042822857,0.5336104616645939,29.22012138366699,18.59566928532498,0.06572910344366692,385.2892561983471,360.0,411.0,0.0 +L22_S170,14500.0,677869.4137931034,3697628.379310345,732.7034482758621,820.8689655172412,1057.9379310344827,1629.2758620689654,0.3435269818223756,-0.26595107562326153,0.4486173681144057,0.8705034449182708,0.5018805814200434,0.2670313613232353,39.58039093017578,18.991183004708127,0.14992338295640614,404.42068965517234,352.0,484.0,0.0 +L22_S174,29100.0,677167.6116838488,3697356.75257732,998.8316151202748,995.2989690721647,1169.3058419243987,2079.8797250859106,0.3513602938029365,0.1493898582235907,0.9389335232501996,1.054478811029716,-0.0978496496040721,0.3446361398215556,36.22320938110352,21.106352622566355,0.17221996234249826,302.8109965635739,225.0,443.0,1.0 +L22_S275,20400.0,677313.1372549019,3697335.833333334,482.5049019607843,740.8088235294118,961.563725490196,2487.8529411764707,0.663529811974834,-0.13444661016817952,0.6469481301073935,0.7282924847859963,0.18697481953045905,0.528414641671321,31.59713935852051,19.07828553050172,0.06637480458719472,295.0049019607843,268.0,324.0,0.0 +L22_S279,15100.0,675885.6622516556,3697384.7350993375,580.9602649006622,767.4900662251656,994.3774834437087,1990.3973509933774,0.5570310861464368,-0.19296144291955905,0.6153488048654518,0.7809426054259799,0.25774791540689024,0.44094924954389103,38.824928283691406,20.083954782675434,0.10260311272365367,307.0529801324504,281.0,331.0,0.0 +L22_S314,31200.0,676793.0769230769,3697246.634615385,520.275641025641,702.0032051282051,962.6891025641023,1728.75,0.4788081928466757,0.11775432210281275,0.7326767209630746,0.7283226507596481,0.16893457802824485,0.3537602341862228,41.84316635131836,29.074449633940677,0.1200655567077681,337.84935897435895,267.0,377.0,0.0 +L22_S315,20400.0,677559.3137254902,3697234.558823529,641.6764705882352,836.8235294117646,1058.936274509804,2665.4950980392155,0.6021538581333908,-0.1257321183568588,0.6761769900719324,0.8458120895951402,0.15290770262714326,0.5111291101750206,39.46809387207031,26.399167191748525,0.12023132332765005,302.22549019607845,262.0,355.0,0.0 +L22_S443,15200.0,678535.7236842107,3696898.421052632,892.9407894736843,917.3684210526317,1075.657894736842,2316.388157894737,0.4442295529144375,0.16731773015405788,0.9523558067648036,0.9619890282812872,-0.05085932955874963,0.4272295608136215,30.93045997619629,22.00601991226799,0.15014865744466846,519.7763157894736,475.0,579.0,1.0 +L22_S494,52000.0,676905.2692307692,3696662.8653846164,457.39230769230767,707.1115384615384,943.4692307692308,2210.2153846153847,0.6387775493642458,-0.14681248281715226,0.6315479155916434,0.7026576915612588,0.21704774498939516,0.4949091098204148,37.40916442871094,17.169077874146975,0.0737031649153393,291.2173076923077,241.0,333.0,0.0 +L22_S703,2500.0,678314.6,3696275.4,963.08,986.2,1106.92,2827.12,0.4936347544193268,-0.06303191406652331,0.8347116112709045,1.0187333345413208,0.07708751910366117,0.4785448658466339,33.933773040771484,27.596781158447264,0.10518273681402207,482.92,449.0,501.0,1.0 +L22_S787,8700.0,676200.7471264368,3696052.816091954,1082.8850574712644,1023.1724137931036,1156.9770114942528,2285.1034482758623,0.34838412667828045,0.2445054933175862,1.0112394423320377,1.0876781639011426,-0.11691496745434365,0.3587224190605098,32.277355194091804,20.277855281172126,0.1791205844659915,279.0919540229885,263.0,307.0,1.0 +L22_S824,30900.0,677081.5372168284,3695904.255663431,535.8640776699028,731.7864077669902,970.2491909385112,2404.0809061488667,0.6273649746738977,-0.016623022235194553,0.7349678783355021,0.7459665590891175,0.1852062262570588,0.5242733419134393,38.23328399658203,28.403199961270328,0.06495491096984993,315.3333333333333,258.0,374.0,0.0 +L22_S969,11600.0,677084.1379310343,3695615.6034482764,1008.6896551724138,992.3275862068964,1152.3879310344828,1885.344827586207,0.3023690014820674,0.20993596694411126,0.9531408522663444,1.0511350580330552,-0.08025392920485344,0.30145017687102843,34.84939956665039,25.021899601508828,0.1861927019881791,198.14655172413796,151.0,241.0,1.0 +L22_S1006,15400.0,676794.2207792208,3695457.6623376617,1235.7467532467533,1127.9155844155846,1247.8961038961038,2155.584415584416,0.2715562036285153,0.17412707346505027,0.9970903048267612,1.2038528129651949,-0.15597727578496198,0.3080873697415575,30.97923851013184,19.90096114362989,0.15743859163062138,183.17532467532467,143.0,256.0,1.0 +L23_S449,22500.0,664110.7333333333,3697661.266666666,620.6533333333333,790.3155555555555,1012.3288888888887,2363.92,0.5807406208250258,0.08369173449774582,0.7714135238859389,0.807765928639306,-0.07861770904726452,0.4955293627580007,35.31191635131836,25.044595141940647,0.058645132349597076,393.23555555555566,337.0,441.0,0.0 +L23_S504,20400.0,663591.8137254902,3697501.764705882,457.6225490196079,720.686274509804,952.436274509804,2061.6323529411766,0.6048038062073436,-0.04646913829492405,0.6127172395879147,0.7102483659982681,-0.003303405348560773,0.4456197176694724,37.46841049194336,16.210589448610946,0.09782196336663236,337.46568627450984,295.0,362.0,0.0 +L23_S528,9300.0,663714.1397849462,3697478.11827957,850.752688172043,908.1290322580644,1082.548387096774,1935.3225806451608,0.3820071340568604,0.17532999062740434,0.8865244087352547,0.9471433720281048,-0.20491110838909626,0.34495365908069,33.427135467529304,21.347499652575426,0.14822640758688732,305.02150537634407,284.0,353.0,1.0 +L23_S655,10700.0,664567.3364485982,3697212.38317757,1259.766355140187,1205.7196261682245,1303.2990654205607,2324.1028037383176,0.3064451402871408,0.2971199854324946,0.9964070208718844,1.2562616818419128,-0.5222012825379861,0.3154235808788059,35.92851257324219,27.277022548925096,0.19197626648662247,310.13084112149534,256.0,351.0,1.0 +L23_S727,9700.0,665747.8865979381,3697033.8659793804,1240.6701030927836,1175.1546391752577,1330.340206185567,1709.5154639175257,0.15821838538287228,-0.2903000580377339,0.5162481134085312,1.2487216524242126,0.30556567956347824,0.1831647284405748,4.757704257965088,3.095947928035382,0.05487191281521443,229.03092783505159,227.0,232.0,0.0 +L23_S737,5900.0,664349.406779661,3697007.7118644076,1037.9830508474577,1057.2033898305085,1194.2372881355932,2308.2203389830506,0.3765246666083902,0.21645976230502129,0.9399465797311168,1.0964745778148457,-0.35864684692883897,0.36269701562695583,32.54221343994141,27.82836988416769,0.1595524727540501,268.1525423728813,227.0,307.0,1.0 +L23_S795,19800.0,665933.1313131313,3696816.464646465,978.9949494949497,997.919191919192,1195.0555555555557,1341.2777777777776,0.15297957872877818,-0.2227818647615913,0.4701798987207991,1.057323230938478,0.4075893313703927,0.13509243712149033,23.963069915771484,6.4636768379596745,0.09469898440169566,239.71717171717168,231.0,254.0,0.0 +L23_S867,10000.0,664269.3,3696738.8,935.39,988.58,1166.13,2056.02,0.3657419243454933,0.2373069212632254,0.8971656686067582,1.030033329129219,-0.2995074629038572,0.3347473419085145,44.47240829467773,26.223888559341432,0.18074100956320766,185.94,159.0,227.0,1.0 +L23_S1011,48300.0,666019.3064182196,3696329.265010352,474.5217391304348,712.2546583850932,961.6501035196687,1804.546583850932,0.5644618686805354,-0.01302435809501623,0.6472395167957922,0.7161421654880911,-0.0009664331716199707,0.4134214187183612,31.04492950439453,12.090784853289586,0.08964729244294374,298.20703933747416,266.0,319.0,0.0 +L23_S1015,16300.0,665576.1656441718,3696408.5582822086,791.5705521472393,871.6441717791411,1075.1104294478528,1850.8404907975462,0.3974768607162991,-0.335907560571074,0.31487758379955233,0.9127750517400496,0.2644125333847193,0.34367819745207856,27.8111515045166,15.39104569470224,0.14844257279407758,295.0552147239264,276.0,317.0,0.0 +L23_S1044,2400.0,663773.3333333335,3696387.5,969.2083333333335,989.875,1135.875,2094.375,0.3678843261053165,0.1875986283024152,0.9377320061127344,1.0316527659694354,-0.29310521980126697,0.35184328195949394,28.16876220703125,25.16586470603943,0.13398843817412853,204.79166666666663,180.0,221.0,1.0 +L23_S1109,2700.0,663626.4814814815,3696257.962962963,1040.5555555555557,1040.4444444444443,1188.6296296296296,2213.037037037037,0.3606595198313395,0.2133175230205611,0.955698468067028,1.0898765413849445,-0.3564702686336305,0.3548740523832816,35.42413711547852,28.853428169533053,0.14237611492474875,211.33333333333331,193.0,243.0,1.0 +L23_S1143,800.0,663712.5,3696180.0,927.375,971.75,1139.5,1970.125,0.3569451794028282,0.17911757249385118,0.9044862389564514,1.012874998152256,-0.2810371741652489,0.33409108221530914,25.132612228393555,23.36813545227051,0.1107585784047842,167.5,158.0,176.0,1.0 +L23_S1149,19700.0,664562.461928934,3696128.0964467004,847.0710659898477,870.5736040609137,1082.751269035533,1753.3908629441626,0.34288905750071336,0.2429611903761849,0.9002951344257684,0.9334653128827284,-0.13248807901095808,0.3253213386169545,23.959815979003906,17.734349851075766,0.11546588333578885,241.51776649746196,191.0,297.0,0.0 +L23_S1184,13500.0,665275.4444444445,3696016.777777778,522.2518518518518,750.6222222222223,982.0444444444445,2219.866666666667,0.5938199715481864,0.00029614471724791517,0.6708869099617004,0.7516395065519544,-0.0050711387294103145,0.4665429692301485,44.41550064086914,24.702724182164232,0.13467699322435592,284.2888888888889,233.0,301.0,0.0 +L23_S1216,8700.0,665346.724137931,3695956.264367816,995.4827586206897,1017.2873563218393,1166.632183908046,2555.9885057471265,0.4385316625408743,0.20828107605426005,0.9353244797936802,1.0598007632398057,-0.28920716612503444,0.4219896721428839,44.41550064086914,31.925455016651373,0.1828352027925952,245.41379310344828,219.0,286.0,1.0 +L25_S217,18600.0,669136.5053763441,3699388.7096774187,413.4301075268817,637.2204301075269,900.3387096774194,1841.3118279569887,0.5767254184490891,-0.09369414799968133,0.6122568791271538,0.6503297478281042,0.10767649550751973,0.4198487795819278,38.610931396484375,24.645754937202703,0.1530676441647673,469.30645161290323,440.0,497.0,0.0 +L25_S509,20300.0,667183.5221674878,3698673.0788177336,487.67487684729065,735.3103448275862,955.2857142857144,2794.827586206897,0.6924861453730484,-0.16905088410047547,0.654420310346951,0.7260903134721841,0.06086079639269685,0.5717850354651512,38.64517593383789,26.440956388201037,0.07475515820196109,431.20197044334975,369.0,485.0,0.0 +L25_S979,50000.0,669300.58,3697348.34,1205.394,1183.3519999999999,1333.306,2224.1279999999997,0.2942105866223574,0.2232510777845746,0.9574876158237458,1.240684000134468,-0.4405556050478481,0.2950145825515501,44.55145263671875,26.844852201461787,0.13283646764606238,388.52,315.0,474.0,1.0 +L25_S1262,63200.0,668596.0126582278,3696806.946202532,689.9319620253165,778.2452531645571,1027.5411392405065,1217.2104430379748,0.25735646887104724,-0.2401770311125456,0.278837563947154,0.8319061192907865,0.3048475314538832,0.176763478168279,37.48737335205078,18.91221608617638,0.15238674712379144,529.9794303797469,495.0,591.0,0.0 +L26_S603,19800.0,668462.5757575758,3697409.141414141,1003.3030303030304,949.9494949494948,993.9090909090908,2388.343434343434,0.4121357789545348,0.22269069161995156,0.7045507394906246,0.9823872052659892,-0.16814772354561194,0.4301514934108715,38.06257247924805,18.40150824279496,0.15895655822723806,517.5959595959596,468.0,542.0,1.0 +L26_S746,68000.0,668582.4852941176,3696806.588235294,1012.1382352941176,940.1411764705882,988.1632352941176,2280.725,0.3915849480120575,0.2682800509785439,0.7527287162402096,0.9801475477569244,-0.2127938033673084,0.4151310824296054,37.48737335205078,18.772153754795298,0.17057756739942467,527.5455882352941,485.0,591.0,1.0 +L26_S751,8800.0,666863.6363636364,3696857.5,403.57954545454544,779.4431818181819,826.1590909090909,2884.659090909091,0.7494716427542947,-0.2773058013143865,0.07708970993355085,0.6697272739627145,1.4093229133974423,0.5678066888993437,27.644044876098636,15.225717040625485,0.032035338269038635,402.9431818181818,387.0,416.0,0.0 +L26_S922,16700.0,668997.5748502994,3696360.568862275,704.6646706586827,1083.3952095808384,968.9820359281437,3814.9640718562873,0.6864712488151596,-0.13894150555579962,0.14273748118681331,0.9190139720539848,0.057872899768603575,0.5558934365203995,38.64226150512695,28.643851834142996,0.07062591677029689,477.239520958084,425.0,528.0,0.0 +L26_S929,11200.0,666957.0535714285,3696380.8035714286,1149.5625,1285.8482142857142,1214.9642857142858,3120.089285714286,0.4602752200194768,0.09314966743321358,0.4655824504526598,1.2167916691729002,-0.01571611785922349,0.414111768294658,24.59153175354004,9.595623716711998,0.1419776436606688,281.05357142857144,275.0,301.0,0.0 +L26_S961,21200.0,668884.2924528302,3696262.3113207542,470.00471698113205,861.5141509433963,853.933962264151,3278.3915094339623,0.7503557556642676,-0.02906058989171195,0.3215795630975714,0.72848427661185,0.015512452704913231,0.5827567761517921,47.24129104614258,31.92623257749485,0.051242471549589684,518.1084905660376,444.0,556.0,0.0 +L26_S979,15900.0,668596.320754717,3696222.547169811,657.6792452830189,1003.3584905660376,934.1320754716983,3813.1761006289307,0.7058510206780344,-0.10214558706484124,0.11616134312320148,0.8650566013354175,0.1624049684208519,0.582905280140211,37.82844161987305,27.380384235262124,0.04017710724388653,557.3647798742138,515.0,598.0,0.0 +L27_S546,133700.0,694765.6955871354,3703086.8623784594,452.83395661929694,856.4053851907256,877.7950635751683,4789.938668661182,0.8265536367759476,-0.052396690051662385,0.4678333869779297,0.7290114680599079,0.011017886758414908,0.6959076999904686,43.40275955200195,18.543524505758608,0.019003863150369525,363.1824981301421,302.0,436.0,0.0 +L27_S549,25100.0,696919.342629482,3703244.641434263,425.91235059760965,810.2589641434262,855.8685258964142,2997.677290836653,0.7474784195660595,-0.003920110050020742,0.511014158744736,0.6973466137015962,0.047141375164390056,0.5693541386450429,40.04515075683594,22.585851885882978,0.029906801463835744,208.72509960159363,160.0,248.0,0.0 +L27_S641,21300.0,696098.661971831,3702969.2253521127,442.80281690140845,832.3615023474179,865.732394366197,3348.558685446009,0.7596279539412736,-0.012223774151628708,0.5036664114031993,0.7136322391424941,0.024647005792147538,0.5927421804604955,46.05866622924805,27.472576212994927,0.037062268494300436,283.8779342723005,226.0,316.0,0.0 +L27_S647,17200.0,696498.3720930233,3702970.058139535,750.5930232558139,977.4127906976744,1036.8720930232555,2784.779069767442,0.5448665275823238,-0.0024020442929319212,0.515476550300454,0.9216259669425876,0.06542122503446461,0.4526794819637786,38.309173583984375,14.406723339890325,0.16986703547800694,144.4593023255814,116.0,164.0,0.0 +L27_S681,13900.0,696405.7194244604,3702889.244604317,742.6330935251799,985.6258992805756,1013.0143884892087,3189.2374100719426,0.5994823789425033,-0.05509866487775869,0.4483979069929329,0.9137577959101836,0.12506036299983084,0.506570720200916,26.858745574951172,11.787378551291047,0.16380120202791776,160.45323741007198,143.0,197.0,0.0 +L27_S821,22100.0,696914.5022624434,3702485.904977376,404.09502262443436,785.89592760181,829.4389140271492,3635.0633484162895,0.7948929176611059,-0.05711379085932921,0.4729205607289103,0.6731432867805343,0.037218756531622016,0.6373939202651718,51.78402328491211,25.95514773459456,0.03586771934213142,285.158371040724,201.0,313.0,0.0 +L27_S914,14400.0,696388.0555555555,3702268.0555555564,927.4097222222223,910.9097222222223,1010.9444444444445,2315.3611111111113,0.4282873713721832,0.29252033210488865,0.9666550716178284,0.9497546259727744,-0.23753385827593676,0.4290241040289402,37.98603439331055,23.892300844192505,0.17823848744026488,212.48611111111111,172.0,277.0,1.0 +L27_S943,46300.0,696796.8142548596,3702093.4449244062,422.3434125269978,791.4946004319653,849.0345572354213,2993.695464362851,0.745211088631632,-0.013953194242940321,0.5010436964472735,0.6876241890452078,0.02998194564001878,0.5719210924520348,46.45720672607422,25.61696070419789,0.04772359122709245,308.3866090712743,216.0,395.0,0.0 +L27_S1093,20900.0,695166.3875598086,3701802.1770334933,970.6985645933014,985.7129186602873,1068.7751196172246,2585.401913875598,0.4567328075472818,0.26586191344150656,0.9500254834667916,1.0083955352386218,-0.27220844112907017,0.44537823137484106,21.927417755126953,11.61208569547206,0.15403556381686453,192.44497607655504,166.0,210.0,1.0 +L27_S1161,26900.0,696528.7918215613,3701497.49070632,1235.8513011152415,1216.8289962825281,1214.7063197026025,2754.6951672862456,0.379576247420896,0.3054093361261377,0.8438770746652965,1.222462204309201,-0.210139148150221,0.38142653900894535,22.24483871459961,8.061894020183379,0.2169007771963524,335.87360594795535,324.0,349.0,1.0 +L27_S1166,9200.0,697073.4782608695,3701567.173913044,1301.5978260869565,1273.9673913043478,1223.2826086956522,2950.467391304348,0.4017326734636141,0.32400077352118073,0.8744868704158327,1.2662826096234114,-0.4584188421266963,0.3953423700902773,31.463340759277344,14.992193170215774,0.24687657035563304,269.58695652173907,256.0,290.0,1.0 +L28_S485,24000.0,693612.4166666665,3708224.083333334,717.5791666666668,969.6041666666665,946.4,3393.229166666666,0.6503579715887705,0.12404813394726565,0.7053249833484491,0.8778611113627751,-0.0043691092731781575,0.554753999163707,25.92072105407715,17.60936010082563,0.055823614820837975,428.5375,410.0,462.0,0.0 +L28_S755,19800.0,693791.5656565657,3707449.494949495,409.88383838383834,806.5,832.969696969697,3061.651515151515,0.7618744701448114,0.01630659815712745,0.5303407276820655,0.6831178436375628,0.05571711388877546,0.580412818626924,39.20980072021485,31.98771998858211,0.024313879980131837,493.8030303030303,433.0,541.0,0.0 +L28_S911,25900.0,694162.2586872587,3707000.945945946,1118.5289575289576,1029.3513513513512,1088.7297297297298,2635.2123552123558,0.4020346982483698,0.37592768161395795,1.0679159208154123,1.0788700129534747,-0.3144404044874645,0.4309179388188027,39.94824600219727,25.491418455558392,0.20627475268131976,380.4903474903475,314.0,452.0,1.0 +L28_S955,16000.0,694710.625,3706924.0625,404.7375,794.6625,815.175,3750.6125,0.8031006239354609,-0.034104879893129686,0.4696662748232484,0.6715249996632338,0.04787807920947671,0.6477055963128805,46.16312026977539,30.3152473539114,0.03335253887344152,535.5625,475.0,568.0,0.0 +L28_S1052,8300.0,694674.2771084338,3706725.8433734938,847.0120481927712,954.156626506024,1018.1927710843373,2321.289156626506,0.462632331682975,-0.08231323016021984,0.3990144891193114,0.9397871479930648,0.12982772069657786,0.4111711131521018,44.99185180664063,34.678595784198805,0.18326787471053116,445.36144578313247,371.0,502.0,0.0 +L2_S123,500.0,694963.0,935299.0,1550.8,1331.8,1398.6,1985.2,0.1287081867456436,0.028928110748529436,0.5197041034698486,1.4270666837692259,-0.06937017533928155,0.19971823990345,22.95656013488769,22.228991317749024,0.057688801735639575,309.0,308.0,313.0,0.0 +L2_S126,31100.0,692793.7459807072,935140.2411575564,1105.9485530546624,1099.353697749196,1193.4630225080384,1760.3633440514473,0.23194161318601905,0.018822149779406896,0.5018926438219677,1.1329217539722896,-0.04932220981320085,0.228784472780404,27.411067962646484,9.697761503638178,0.0887232037362945,259.33440514469453,223.0,270.0,0.0 +L2_S158,19400.0,692918.0927835051,935146.030927835,1134.860824742268,1101.0257731958764,1206.340206185567,1487.479381443299,0.13432118226534007,0.02072430471454617,0.4789839688035631,1.1474089345981164,-0.03690793547379069,0.14624971593010058,9.601229667663574,5.29575317913724,0.0812166529064326,268.3556701030928,259.0,279.0,0.0 +L2_S258,20100.0,693896.6915422885,934959.776119403,1066.9701492537313,1071.7313432835824,1182.1940298507463,1617.0945273631842,0.20520607875057714,0.001962776774244003,0.4519279664428673,1.1069651738328128,0.02475820917646871,0.20136320450116152,19.713748931884766,13.164776047663903,0.06485143463261685,275.1442786069652,254.0,304.0,0.0 +L2_S946,54000.0,696426.7222222221,933498.0,1128.5648148148148,1080.4296296296297,1169.9314814814816,1701.8444444444447,0.20254257110257945,-0.0261954719425485,0.4273195228642888,1.1263086403961535,0.02152863631919091,0.22121545504088755,20.937440872192386,12.137378928396435,0.07148556407816985,362.91111111111115,309.0,426.0,0.0 +L2_S961,44900.0,693147.6057906459,933597.7394209355,1258.4632516703787,1145.9888641425391,1210.187082405345,1649.4342984409802,0.1352309248096959,0.17405144236764075,0.6191223975943032,1.204879732068238,-0.15478188193353662,0.17918155650983675,23.56650733947754,6.536661187896218,0.06813553470977166,41.3184855233853,31.0,70.0,1.0 +L2_S1089,148100.0,694636.0195813639,933084.2099932478,1245.6252532072924,1099.5084402430791,1166.6610398379473,1577.9547602970965,0.1187142722414282,0.18295624128503224,0.6737846133074673,1.1705982444819207,-0.18214289540287226,0.17695515722559566,50.30542755126953,18.77085922087953,0.06616798977089,239.968264686023,90.0,465.0,1.0 +L2_S1295,20900.0,693457.7272727273,932929.2583732058,827.9521531100479,930.1674641148326,1087.866028708134,1459.2535885167465,0.27197625363272343,0.05652221239675461,0.4961339152600777,0.9486618820560035,-0.04262060946428427,0.2173058936399136,33.32755661010742,23.93160212211061,0.06676732190844545,209.25358851674642,170.0,250.0,0.0 +L2_S1300,56000.0,692641.6071428572,932759.3928571428,957.7321428571428,989.3464285714284,1130.1571428571428,1526.35,0.2254646486469677,0.02692995107022398,0.478178496658802,1.0257452379379954,-0.02787403957305027,0.20964555258729628,23.63929557800293,9.210496707047737,0.05274079047875213,196.375,164.0,212.0,0.0 +L2_S1343,12700.0,694342.5590551181,932839.8031496065,978.1574803149606,964.0393700787399,1111.0629921259842,1452.5354330708665,0.19434889681695952,0.06591227789699122,0.5721881234739709,1.017753276299304,-0.08505472716853374,0.20124519270236102,21.508739471435547,15.099321782119631,0.039697102835680564,242.29921259842519,222.0,260.0,0.0 +L2_S1608,10100.0,692767.0792079208,932227.1782178219,840.7722772277227,917.4455445544554,1086.2475247524753,1245.2871287128712,0.19063399909156384,0.04143538156358322,0.473953909803145,0.948155115146448,-0.03660241673967921,0.14828777977145546,32.09954833984375,25.879273103015255,0.046417713571007886,317.25742574257424,262.0,354.0,0.0 +L2_S1727,37600.0,693996.835106383,931934.0691489362,1123.651595744681,1078.8005319148936,1145.8829787234042,1648.5744680851064,0.1917763756627732,0.20016936037241745,0.6903156595344239,1.1161117009977075,-0.24762148865835465,0.208385862806376,44.08063507080078,20.780210210921915,0.11234544979487644,353.4308510638298,290.0,470.0,1.0 +L2_S1978,14100.0,695423.4397163121,931201.09929078,647.5886524822695,849.4893617021277,1016.8156028368794,1676.3049645390072,0.4386914440080629,0.1145255538430197,0.528041310132818,0.8379645389868012,-0.062114474172076425,0.3232535098461395,35.961463928222656,26.20707840953313,0.049023257449586334,458.30496453900713,418.0,515.0,0.0 +L2_S1999,14500.0,695877.9655172414,931244.448275862,671.1034482758621,871.1379310344827,1024.2275862068966,1834.7379310344827,0.4571401382314748,0.0821879752759083,0.5491116770382585,0.855489656020855,-0.06593598601376187,0.3489658684566103,46.37834548950195,25.701432681905807,0.0674237196815425,559.0965517241381,519.0,589.0,0.0 +L2_S2016,25500.0,692867.6666666665,931156.6470588236,945.9215686274507,970.1607843137256,1120.41568627451,1465.3803921568629,0.2107443723316286,0.1920777297487446,0.6047104220764311,1.012166009463516,-0.1011334055048578,0.19853398352861404,29.520694732666016,20.053441608653348,0.07269158151512052,315.70980392156866,277.0,360.0,0.0 +L40_S91,136800.0,674007.5877192982,3713584.349415205,617.812134502924,946.2441520467836,927.7426900584796,3372.511695906433,0.6889400830525055,-0.12119882019177892,0.07309982005089515,0.8305996589754757,0.14730428624315134,0.5595479828920978,40.62457656860352,23.577181114439377,0.041289573287515084,352.36184210526324,250.0,447.0,0.0 +L40_S447,18100.0,672528.3701657457,3712919.3646408836,481.01104972375686,842.546961325967,866.2651933701657,3712.176795580111,0.7674970916621593,-0.03961603187001439,0.2748098929942642,0.7299410700798035,0.04715054178351887,0.6268949498787769,25.90274429321289,17.50457486790188,0.11021385425238647,150.7569060773481,127.0,173.0,0.0 +L40_S638,13000.0,675372.9230769231,3712608.307692308,1512.084615384615,1315.2846153846153,1222.376923076923,2711.0307692307692,0.3173429200282464,0.27675743119012064,0.5684785596453227,1.3499153843292824,-0.3275149247537439,0.3578744318622809,31.686176300048828,12.560948686416333,0.20779272312155134,298.17692307692306,283.0,308.0,1.0 +L40_S784,20000.0,674607.6,3712181.35,390.655,772.635,806.58,3117.945,0.7749574613571167,0.03535219028781285,0.3577707182615996,0.6566233319044114,-0.03380129850425874,0.5997990018129349,27.1027774810791,13.059695454835891,0.02969101332128048,468.74,431.0,485.0,0.0 +L40_S889,22700.0,674235.4845814978,3711883.149779736,531.3259911894273,872.4493392070483,872.8546255506607,3508.3788546255505,0.7352314746327338,-0.08263572890915095,0.11622852858567265,0.7588766516567852,0.13074439550885347,0.5988801403980423,38.55025100708008,17.256389580109047,0.06597005870472229,324.15418502202635,300.0,358.0,0.0 +L40_S959,23100.0,673243.7012987013,3711661.3203463205,997.017316017316,959.5281385281386,998.5670995670996,2483.1341991341988,0.4392482189389018,0.32175262227202905,0.8091999055632265,0.985037516205858,-0.3010514777247467,0.44222346115938,39.74459838867188,16.31440906504016,0.16225172717978945,173.12121212121212,121.0,192.0,1.0 +L40_S1036,37800.0,674463.0423280422,3711483.1481481483,1114.4444444444443,986.8677248677247,1031.6058201058204,2346.624338624338,0.3582462493389372,0.4247735030049823,0.9514744616059401,1.044305995027855,-0.4161460473024774,0.4044714778977097,33.89288711547852,25.468898619293537,0.19672155713356992,357.7010582010582,272.0,430.0,1.0 +L40_S1043,27800.0,675969.9640287771,3711432.410071943,813.3956834532373,874.384892086331,923.5251798561153,2377.6906474820144,0.4942059044679292,0.28289528687571663,0.7427517093128437,0.8704352533216957,-0.23106192173972295,0.4588382145483717,36.48247528076172,27.558084479338827,0.14309025933738234,294.5071942446043,223.0,352.0,1.0 +L40_S1260,18300.0,676346.0382513661,3710895.0546448086,1094.5628415300546,1008.0218579234974,1060.311475409836,2325.054644808743,0.35963549184017496,0.2503631835131616,0.5821681052772074,1.0542987249588054,-0.182687673444193,0.3930668298338279,47.90155410766602,29.43121507780148,0.18228321477689374,307.6120218579235,243.0,348.0,1.0 +L40_S1302,10100.0,675123.514851485,3710812.8217821773,829.2871287128712,1062.4257425742574,1028.0099009900991,3306.980198019802,0.6044544140891274,-0.026393115279578258,0.1264879183571712,0.9732409225832118,0.1710791808442388,0.5146371586488026,29.53467559814453,19.993475529226924,0.08953202582231842,421.17821782178214,390.0,444.0,0.0 +L40_S1863,103800.0,676731.2524084778,3709333.988439306,597.8959537572255,973.4354527938344,908.8275529865125,3741.075144508671,0.7233417064296028,-0.13431552666071378,0.04268135215293001,0.8267196523660869,0.12925527398860326,0.5850737526122775,31.76950263977051,18.71842975928834,0.0480960433394693,387.2928709055877,328.0,444.0,0.0 +L40_S1957,10500.0,676541.2857142857,3709264.8095238092,1142.4952380952382,994.695238095238,1039.3428571428572,2767.209523809524,0.4206768464474451,0.26985859594174794,0.6280640088376545,1.0588444437299456,-0.197985054996042,0.4687289257844289,23.051597595214844,14.570390746707007,0.21145258446534476,415.03809523809525,397.0,431.0,1.0 +L41_S982,5600.0,675625.7142857143,3700972.3214285714,831.2142857142858,886.9107142857142,976.1785714285713,2077.053571428572,0.415800966322422,0.1899341257937652,0.5418714114597866,0.8981011882424355,-0.10177143979983937,0.3869367710181645,41.11748123168945,28.69662632261004,0.1839096232184342,447.71428571428567,419.0,474.0,1.0 +L41_S1010,17000.0,675568.4705882353,3700881.2352941176,398.14705882352933,744.9176470588235,794.6,3116.3529411764707,0.7683918691733305,-0.02124373805537984,0.3609160273390658,0.6458882380934322,0.0026355688945520397,0.6074665069580079,45.75915145874024,23.99709897882798,0.07364945342654691,410.35294117647067,372.0,452.0,0.0 +L41_S1133,23500.0,676276.2765957447,3700565.2127659568,880.5148936170211,852.2808510638298,917.6553191489363,2388.8170212765963,0.4659183944793458,0.3181629818973151,0.8768558653111154,0.8834836886284201,-0.2602089055496184,0.469126599900266,28.30387878417969,13.099538092917586,0.17056099128849966,508.14468085106387,467.0,536.0,1.0 +L41_S1291,19900.0,677615.8542713568,3700213.7939698487,442.7487437185929,786.0552763819095,818.8442211055276,2874.8391959799,0.7284743537255867,0.04364889595900656,0.40627673051165575,0.6825494143232029,-0.027814960937909597,0.5646117833541267,38.75411987304688,20.68404768699377,0.06683743280831292,501.8844221105528,451.0,534.0,0.0 +L41_S1359,18000.0,677326.0,3700115.166666666,397.8944444444445,757.4666666666667,810.6833333333333,2626.811111111111,0.7356961571507984,0.07385876760430013,0.4168473371201091,0.6553481482797199,-0.03649403967089408,0.5507956610785589,42.04383850097656,25.158451965120104,0.02705689562070701,495.08333333333326,453.0,530.0,0.0 +L41_S1384,33500.0,676963.4477611941,3699978.253731344,450.46268656716416,836.7044776119403,823.2776119402985,4379.686567164179,0.810305005934701,-0.17826363530371395,0.05974435008374712,0.7034815923491521,0.17815438040389694,0.6754857757198277,40.649314880371094,26.799098592729713,0.04387918579489437,401.0149253731343,351.0,452.0,0.0 +L43_S112,51600.0,576750.0775193798,4731898.372093023,1362.8992248062016,1137.6182170542634,1195.4457364341085,2212.2441860465115,0.2357214864617748,0.256795728129295,0.7374650305209234,1.2319877249325892,-0.3783181925620541,0.30858980333829633,36.28356170654297,17.35663776111233,0.15326283623774847,100.1937984496124,64.0,141.0,1.0 +L43_S122,9300.0,576471.4516129033,4731922.526881721,1629.9247311827958,1297.5698924731182,1299.2043010752686,2435.1182795698924,0.19769944154447125,0.2632235840503727,0.7667009984293292,1.40889964436972,-0.5498273006530219,0.2976933379647552,31.335065841674805,18.039067678554087,0.13448687514630694,105.32258064516131,77.0,126.0,1.0 +L43_S310,23400.0,577267.3504273504,4731469.487179487,1729.059829059829,1327.7008547008547,1312.5982905982905,2342.884615384615,0.15137066130335322,0.2688598456657213,0.7648329341258758,1.4564529940103874,-0.6056779987212573,0.26750834917044664,29.53467559814453,20.669515672911945,0.0935089280271632,93.65811965811966,70.0,129.0,1.0 +L43_S327,2000.0,578372.0,4731505.5,1515.5,1195.7,1207.25,2636.4,0.2677049331367016,0.09298266561236232,0.7075563758611679,1.306149998307228,-0.4898615159094334,0.3686660468578339,33.64908218383789,28.822944116592414,0.1552848719060421,187.35,166.0,209.0,1.0 +L43_S336,2900.0,578239.8275862068,4731473.620689655,1610.9655172413793,1262.4827586206898,1241.4482758620688,2567.344827586207,0.2323216888411292,0.15237374441569734,0.7336730330154814,1.3716321813649144,-0.5549790684519142,0.3341090381145477,32.17755508422852,25.47605639490588,0.15631694423741307,160.3793103448276,144.0,177.0,1.0 +L43_S341,5000.0,578145.0,4731446.6,1595.78,1232.82,1236.1,2397.3,0.20227163463830947,0.1653704642597586,0.7720873904228209,1.3549000000953677,-0.5570816334336997,0.3175727578997612,32.249210357666016,27.164866123199463,0.14713262423872947,150.82,126.0,180.0,1.0 +L43_S365,93100.0,576253.141783029,4731290.273899034,1563.2320085929111,1247.2728249194415,1283.7862513426426,2218.646616541353,0.17894234065322565,0.2683035815219049,0.7451749038747507,1.3647636949183732,-0.5035192902950434,0.27870328963667185,33.80337142944336,21.234169856049963,0.1113170104063287,79.44790547798067,42.0,118.0,1.0 +L43_S369,19100.0,573865.0,4731335.785340314,1183.7015706806285,1071.5130890052355,1200.8167539267015,1487.9633507853405,0.11343498652830175,0.12318622936245972,0.5126210480772387,1.1520104739054335,-0.13775556819776744,0.16201595532956548,4.210250377655028,1.739968887486383,0.07479804275430622,21.89005235602094,20.0,25.0,0.0 +L43_S379,13200.0,575871.3636363636,4731334.696969697,1537.909090909091,1229.4015151515152,1272.719696969697,2044.9772727272727,0.14160243687078808,0.2354633005787477,0.6614807119423692,1.3466767659693053,-0.4291696382481887,0.2466585866429589,33.26593017578125,22.267673160090588,0.0902676119215109,61.47727272727273,41.0,96.0,1.0 +L43_S384,12900.0,578288.1007751938,4731316.162790698,1498.4728682170542,1196.953488372093,1207.077519379845,2460.038759689923,0.24533052626968355,0.1971081022548583,0.7765231252640716,1.3008346271145252,-0.5226199936208337,0.33670236742080645,32.00233840942383,23.231920863306797,0.14479622805072356,166.89147286821702,133.0,216.0,1.0 +L43_S409,24500.0,573977.2857142857,4731226.755102041,1246.395918367347,1122.861224489796,1240.6612244897956,1621.2897959183676,0.1304049657315624,0.11088731576574548,0.5087675028917741,1.2033061236751323,-0.1658561584596731,0.1810792461949952,7.587770938873291,2.437749318443999,0.0703414588862536,21.26122448979592,19.0,25.0,0.0 +L43_S441,15800.0,573960.1265822785,4731093.354430378,1271.012658227848,1121.139240506329,1247.9050632911392,1639.6012658227846,0.12617176709861694,0.12127771614343401,0.5318482248466226,1.2133523172970058,-0.19394771617990506,0.1869866928156418,5.36470890045166,2.1014379617534105,0.06787442347577101,21.4746835443038,20.0,25.0,0.0 +L43_S449,16600.0,574941.9277108434,4731125.662650603,764.4939759036145,740.2289156626506,939.4277108433736,1624.3614457831327,0.35723335753722363,0.0162224689988597,0.5616642443171467,0.8147168680127844,0.001859523205006641,0.3695003875946424,19.861692428588867,8.979635102203094,0.04573261457304639,69.79518072289157,57.0,82.0,0.0 +L43_S451,5300.0,575600.283018868,4731153.679245283,1038.0566037735848,923.6603773584906,1074.2264150943397,1729.5849056603774,0.23544491686910954,0.17490701807030248,0.6610762752451986,1.0119811318955332,-0.18571491418230648,0.2844647945405669,21.89603042602539,16.401294024485463,0.13049935240228222,78.56603773584905,64.0,95.0,1.0 +L43_S479,8900.0,575882.1910112359,4731055.898876403,1148.9213483146068,993.0,1126.426966292135,1731.370786516854,0.18989832000283716,0.22563480206482694,0.6759885402207964,1.089449435807346,-0.27319563948026115,0.2548826433132204,28.945003509521484,19.48925171541364,0.1341570055719172,79.5505617977528,60.0,107.0,1.0 +L43_S484,23700.0,573852.9746835442,4731046.181434599,1204.181434599156,1092.2320675105486,1219.2025316455695,1622.1054852320676,0.14440700612993684,0.10376202411564532,0.4925300455671826,1.1718720112168841,-0.12485794787479855,0.19158281077815512,5.121293067932129,1.9660674582553812,0.09019367898252442,21.822784810126578,20.0,25.0,0.0 +L43_S519,24200.0,575185.7024793389,4730963.181818182,934.4958677685953,831.8305785123966,1004.1322314049588,2161.867768595041,0.3973208013152288,0.030735968389796826,0.6067130029940409,0.9234862261074632,-0.06666639835365015,0.4413316843430858,23.967830657958984,12.124720737461214,0.053947460060277265,72.93801652892563,55.0,89.0,0.0 +L43_S536,23900.0,574896.4644351464,4730923.744769874,871.6443514644351,782.489539748954,967.2928870292887,2221.7405857740587,0.4350827724115619,-0.003549951652576245,0.619996400931889,0.8738089271170325,-0.03405158262150401,0.4763343392805076,22.723695755004886,12.83739546851633,0.03812720450459664,62.76569037656904,43.0,81.0,0.0 +L43_S554,30600.0,573757.4836601308,4730842.843137255,1190.7058823529412,1070.4019607843138,1208.5196078431372,1611.173202614379,0.146925427896135,0.09786092573959454,0.5224690985640669,1.1565424854459323,-0.16708963951308986,0.197817474445389,5.74678373336792,3.039418889027016,0.10773390616758977,20.00980392156863,16.0,24.0,0.0 +L43_S659,18400.0,575179.5108695652,4730631.25,740.3478260869565,759.8532608695652,930.2989130434784,1635.3369565217392,0.3747987087977969,0.020358694125918744,0.5194096082578534,0.8101666692806326,0.007900617149615478,0.3618523531147968,22.87860107421875,10.38816706771436,0.04940843744122464,86.46195652173913,70.0,101.0,0.0 +L43_S829,6200.0,576564.3548387097,4730292.096774193,1517.5,1219.225806451613,1239.6290322580646,2386.032258064516,0.22237359660287054,0.23089804591971536,0.7671043771889902,1.3254516105498038,-0.4995782834988448,0.3163792489757461,33.399658203125,22.28607809159064,0.1550548379459689,100.90322580645163,87.0,135.0,1.0 +L43_S832,51900.0,577395.4238921002,4730158.5067437375,1443.4547206165705,1168.3776493256262,1224.8863198458573,2137.140655105973,0.1925410012246212,0.2366239022000254,0.7221891061763543,1.2789062320152458,-0.4379861535767348,0.2842897618106909,33.314876556396484,21.197715121197557,0.12402777771442153,135.8824662813102,82.0,195.0,1.0 +L43_S868,9100.0,576384.6703296703,4730133.241758241,1082.8901098901101,984.4505494505496,1121.1538461538462,1397.5054945054944,0.11209917416448123,0.2340752482004873,0.5329451243301014,1.0628315059693303,-0.1506486501350262,0.1512512078119831,29.913183212280273,18.687784677023412,0.10738567991571113,79.15384615384616,68.0,109.0,1.0 +L43_S915,9600.0,576500.7291666665,4730045.729166667,1510.625,1258.125,1319.125,1962.625,0.12866340893864012,0.19916230312264813,0.5771768670529127,1.3626250009983778,-0.3797768351990574,0.20837259983333448,29.970703125,19.570033902923264,0.12590063945390284,94.30208333333331,75.0,132.0,1.0 +L43_S971,22000.0,576076.8181818182,4729895.454545454,1337.8227272727272,1166.1454545454546,1238.8,1998.6681818181821,0.19161776932464405,0.3273247384466231,0.704437388886105,1.2475893960757691,-0.4023606832763603,0.2426072294019501,38.47359848022461,21.22240759676153,0.17860308231955224,108.60909090909092,72.0,140.0,1.0 +L43_S997,34600.0,577918.0057803468,4729782.25433526,1054.3034682080925,932.2687861271677,1077.294797687861,2090.9942196531792,0.3190578913499165,0.10731080867578853,0.6235455124708958,1.0212890171591258,-0.1904282239931932,0.3651682869934967,36.26978302001953,18.703166233321834,0.12026786802045873,89.66473988439306,65.0,125.0,1.0 +L43_S1019,11100.0,575298.4234234234,4729767.972972973,1425.7747747747749,1185.8648648648648,1246.4954954954956,2434.711711711712,0.26291921875766805,0.24612566478852485,0.7380819860342387,1.2860450443920788,-0.415201604504218,0.34019859781203504,31.19057655334473,23.20785448572657,0.1307700320004343,76.24324324324324,39.0,108.0,1.0 +L43_S1069,3800.0,575233.947368421,4729678.684210527,1220.5263157894738,1052.6842105263158,1126.657894736842,2810.921052631579,0.3906829902216008,0.10489598730284916,0.6870849132537842,1.1332894720529254,-0.2413888702071027,0.4495728235495718,38.24440002441406,28.114943604720267,0.1349619960314349,50.31578947368421,32.0,84.0,1.0 +L43_S1107,14800.0,575647.5675675676,4729554.4594594585,1690.9864864864865,1353.8986486486488,1358.7972972972973,2668.331081081081,0.22275031146568225,0.1952394752958286,0.7257861293650962,1.4678941417384792,-0.5936813118703965,0.3216944671160466,34.55724334716797,20.51835881697165,0.13120022637618556,61.5,34.0,94.0,1.0 +L43_S1117,19900.0,576718.6180904523,4729484.396984925,1344.9497487437186,1103.0301507537688,1179.0753768844222,2512.3366834170856,0.2991595000178371,0.15149494438097535,0.7138416537986928,1.2090184233296457,-0.3500541013819938,0.38107818237800695,31.978273391723636,20.290193505023588,0.11404821740922018,107.38693467336685,76.0,154.0,1.0 +L43_S1203,12000.0,576520.8333333335,4729299.916666667,1456.125,1201.4583333333333,1263.1916666666666,2273.3166666666666,0.2172961584602793,0.21314248162937774,0.6977267660200596,1.3069250012437503,-0.4239881877942632,0.3032199711849292,25.1037654876709,20.650702945391334,0.10983631902684768,82.65,54.0,114.0,1.0 +L43_S1230,16200.0,576389.6913580247,4729203.8271604935,1355.7160493827162,1108.6975308641977,1180.611111111111,2526.518518518519,0.30361134094404585,0.09008698658744607,0.6516900452566735,1.2150082264417483,-0.3212136673930757,0.3872001094766605,31.67349052429199,23.559715159145398,0.11724509726519937,72.03703703703705,43.0,113.0,1.0 +L43_S1382,8600.0,578151.6279069767,4728839.186046512,546.5116279069767,639.7441860465116,897.3837209302327,1038.6511627906978,0.29781850721946984,0.06363515647907936,0.4072024063315503,0.6945465103138325,0.12152809065463413,0.21910730012974075,38.74665832519531,22.609826331914853,0.09199834207809247,182.31395348837208,133.0,215.0,0.0 +L43_S1447,20900.0,577945.3827751196,4728699.545454546,728.334928229665,781.6698564593303,927.8516746411484,2055.311004784689,0.4630987865217565,-0.04142778509921165,0.4738607339596634,0.8126188200056268,-0.013528057207322359,0.4346653785574379,32.97642135620117,20.85076706033004,0.07036254350006865,168.25358851674642,118.0,212.0,0.0 +L43_S1460,8900.0,577008.2584269664,4728706.011235955,477.78651685393265,614.2808988764045,884.7303370786517,725.629213483146,0.18832741208960505,0.17301627729294738,0.30653514487020084,0.6589325807067785,0.17288262204507762,0.059143153443053535,35.2120361328125,19.864169313666526,0.13669572804081306,128.5056179775281,94.0,152.0,0.0 +L43_S1467,19000.0,577446.6315789474,4728649.947368422,700.5,747.5,954.8421052631579,1778.1894736842105,0.4229932265846353,0.019800427027267257,0.4982005004820071,0.8009473668901543,-0.0020198903503018967,0.3928555179583399,36.63222885131836,23.29111438801414,0.07955061493343428,168.3578947368421,132.0,193.0,0.0 +L43_S1474,9000.0,578092.4444444445,4728634.777777778,864.1888888888889,863.0777777777777,973.3222222222223,2587.0777777777776,0.4978185988134808,-0.059354743867111724,0.5087655335664749,0.9001962946520912,-0.07159501315198011,0.4978923254542881,27.40569305419922,22.4239431169298,0.04816393163055181,171.1,143.0,202.0,0.0 +L43_S1518,9900.0,577641.3636363636,4728541.565656566,594.4747474747475,759.7979797979798,949.1111111111113,1886.3838383838386,0.4881640028471898,-0.05508397250951296,0.2934177760222946,0.7677946126822269,0.07898940545309223,0.38581774417649617,33.09743118286133,19.59641683944548,0.09783393829458893,174.3030303030303,151.0,198.0,0.0 +L47_S47,26800.0,580023.4701492537,4731227.201492538,935.4029850746268,851.7014925373136,995.0410447761194,1944.820895522388,0.3498354206111894,-0.03306125557319048,0.5457224107500332,0.9273818373235304,0.048576331162892984,0.3887053873779169,32.015586853027344,21.27407895451161,0.0419969392815299,184.09328358208958,139.0,226.0,0.0 +L47_S181,20700.0,579262.536231884,4730657.608695652,883.2995169082126,1119.12077294686,1018.5507246376812,3356.357487922705,0.5778652204983477,-0.07870969781933289,0.4252986930994596,1.0069903400209217,0.03572231921036098,0.4954836125247145,35.16200637817383,26.072657838535772,0.0605350521163664,192.51690821256042,160.0,232.0,0.0 +L47_S281,21300.0,581734.6713615024,4730441.525821596,1168.586854460094,1009.5070422535213,1094.8075117370893,1900.0516431924882,0.2431076515308568,0.11720080113579096,0.6959152572871374,1.0909671330116164,-0.15933009405252022,0.2954287341153118,40.69389724731445,27.14262391032188,0.1360837202256834,166.95774647887325,127.0,209.0,1.0 +L47_S379,6700.0,581721.8656716418,4730246.343283583,1409.2388059701493,1143.1044776119404,1178.955223880597,2266.8805970149256,0.2517835075285897,0.10620129676778982,0.7253579363894107,1.2437661699394682,-0.3117147007706895,0.33444022064778345,45.56396102905274,25.452255362895002,0.11029269190421744,189.17910447761196,158.0,216.0,1.0 +L47_S446,16400.0,579208.7804878049,4730030.487804879,1351.1524390243906,1144.6036585365853,1191.280487804878,2334.109756097561,0.2712760101549509,-0.006541864310814318,0.5534753786717973,1.2290121927493955,-0.10177144288261444,0.3419331430298526,42.40539169311523,26.334642513859567,0.06710863808487974,170.99390243902442,140.0,208.0,0.0 +L47_S478,27800.0,582283.9208633094,4729964.0647482015,1183.2985611510792,988.63309352518,1079.9208633093526,2029.2158273381292,0.27537015783969016,0.08596033762374948,0.6778390237110125,1.0839508373102695,-0.15284244412058595,0.3480217410452503,36.52492141723633,22.208860152059327,0.07334952966289983,215.7913669064748,170.0,251.0,1.0 +L47_S575,12800.0,580917.5,4729724.140625,671.0234375,717.28125,908.765625,1365.4140625,0.33386662835255265,-0.07190691566211171,0.4889050379861146,0.7656901045702398,0.21868174843257293,0.302873530308716,29.674997329711914,22.236303247511387,0.0505234818556346,138.53125,107.0,181.0,0.0 +L47_S655,17700.0,581369.5197740113,4729500.254237288,996.4915254237288,877.0169491525422,1021.2655367231638,1793.4237288135596,0.28593131689365303,0.0272268034283619,0.5940859092157439,0.9649246685248984,0.035346800368756065,0.34212334479315804,38.02216720581055,27.162601442660318,0.04099170378498775,151.9322033898305,119.0,201.0,0.0 +L47_S672,10800.0,580770.3703703703,4729465.555555556,884.7037037037038,815.7592592592592,973.3425925925926,1788.9259259259259,0.3364349708512977,-0.053871557296521065,0.5486550918883748,0.8912685171321586,0.15115920454263687,0.37091309742795103,36.29003143310547,23.577086272063077,0.03781006488673113,128.0462962962963,102.0,168.0,0.0 +L47_S765,8100.0,583078.0864197529,4729203.148148148,1100.6913580246917,966.9506172839507,1073.3703703703704,2064.271604938272,0.3170040926815551,0.0462143301797088,0.6195235175115091,1.0470041154343406,0.04155864400277489,0.3648719964204011,33.64859390258789,22.916270032341092,0.11268261792483153,220.82716049382717,191.0,251.0,1.0 +L47_S988,11400.0,583094.5614035089,4728662.894736842,964.9473684210526,883.1666666666665,1013.780701754386,1901.377192982456,0.3278316485515812,0.0022710401916124843,0.5945940069984972,0.953964915191918,0.09365919914929882,0.36342887397398027,44.07424545288086,28.342930170527676,0.08378310570199239,152.66666666666666,126.0,186.0,1.0 +L47_S1061,1700.0,583052.6470588235,4728556.176470588,1035.4705882352941,964.1764705882354,1053.8235294117646,2118.705882352941,0.34903237223625183,0.16896849125623706,0.7540303047965554,1.0178235173225405,-0.22996518613003636,0.37475193423383374,32.556835174560554,23.469044292674347,0.15231884402387286,142.52941176470586,132.0,156.0,1.0 +L48_S293,12100.0,585311.6115702479,4729053.347107438,655.0743801652892,672.0413223140496,883.4545454545455,1065.809917355372,0.2352142480532985,-0.02524667110463435,0.4920877402971599,0.7368567482499052,0.12769972765625814,0.219833711516266,42.703895568847656,28.435594881861665,0.039535954579218366,171.8925619834711,130.0,208.0,0.0 +L48_S308,21800.0,584890.1376146789,4728955.04587156,751.8119266055046,762.2844036697247,942.0,1511.2247706422015,0.3390414034691426,-0.10013231260855812,0.46813698017269106,0.8186987753308147,0.30047244076251794,0.3270959676405705,36.83955001831055,22.5453333832802,0.05273572054751422,185.3394495412844,154.0,209.0,0.0 +L48_S355,9600.0,584795.1041666665,4728878.75,783.2395833333335,753.625,935.5625,1456.197916666667,0.2993296083683769,-0.01872391106265544,0.5412051662181815,0.8241423591971397,0.036737492310445916,0.31484902060280245,41.55315399169922,31.400379359722137,0.0629998497121657,162.13541666666666,129.0,185.0,0.0 +L48_S468,16300.0,586414.509202454,4728637.515337423,1258.877300613497,1060.760736196319,1134.9018404907974,2187.1411042944787,0.2728070823327164,0.08823474150526328,0.6513094311477217,1.1515132945739421,-0.2185661923711651,0.3469207607712482,39.35508346557617,24.59917860674712,0.05797775950214248,169.30674846625766,127.0,200.0,1.0 +L48_S487,12000.0,586191.4166666665,4728595.333333333,1369.5166666666667,1148.925,1191.0583333333334,2369.758333333333,0.26663593283543985,0.11948687069428465,0.6818312923113505,1.2364999994635582,-0.2627694261493161,0.34423426277935504,38.829994201660156,26.45089921951294,0.07583925854414701,149.69166666666666,122.0,178.0,1.0 +L48_S495,14000.0,586576.2857142857,4728585.5,1335.8357142857142,1107.5214285714285,1164.4285714285713,2317.157142857143,0.27152172571846417,0.09332142153289168,0.659731491122927,1.2025952343429838,-0.2488784286326596,0.3527661432112966,40.73652648925781,23.270193271977558,0.062104479915329386,181.2642857142857,146.0,216.0,1.0 +L48_S521,11000.0,586108.2727272727,4728540.090909091,1053.3727272727272,942.2454545454544,1066.7363636363636,1633.209090909091,0.20505007058382035,0.08010537032969296,0.6117697352712804,1.020784842967987,-0.13806106921825134,0.2507274776697159,37.78402328491211,26.19921876733953,0.07491630163382401,143.9181818181818,112.0,178.0,1.0 +L48_S556,28600.0,587846.6083916082,4728429.720279722,976.041958041958,851.9895104895105,1003.4055944055943,1840.3216783216785,0.3065536842271165,0.003195604036753432,0.5950962562452663,0.9438123534192572,-0.034674374129313006,0.3650237400527601,38.63137817382813,20.29643913915941,0.018554527055263732,164.84615384615384,128.0,196.0,0.0 +L48_S561,11200.0,586641.6964285715,4728443.660714285,1287.8660714285713,1081.2232142857142,1165.1607142857142,1992.5357142857144,0.22332157407488146,0.09555483608814287,0.651382348367146,1.1780833373112338,-0.2864680026603829,0.30105308815836906,40.87079620361328,29.976238591330393,0.07257856794499926,164.36607142857142,139.0,202.0,1.0 +L48_S577,9100.0,586475.6593406594,4728446.538461538,1563.901098901099,1285.4835164835165,1285.7142857142858,2395.2417582417584,0.21450582146644592,0.1476252414107036,0.6878105814640338,1.378366302002917,-0.4087543424300768,0.30073714632909376,40.73652648925781,26.453356664259356,0.0628485965368512,144.5934065934066,129.0,175.0,1.0 +L48_S611,68600.0,587184.0233236152,4728117.055393586,417.8571428571428,602.2696793002915,783.33527696793,1851.3250728862972,0.6260619914218913,-0.12442395826603107,0.37131597540468936,0.6011540322366331,0.10205353970120801,0.5019531645988584,37.58972549438477,21.25769613922164,0.14434734901342725,196.28279883381924,145.0,230.0,0.0 +L48_S673,19800.0,588178.1313131313,4728168.585858586,1039.010101010101,893.4242424242424,1031.8131313131314,1907.9040404040404,0.2970911858960836,-0.00550469796125797,0.5975281681978342,0.9880824919902916,-0.013102471885492442,0.3623710621637528,39.35426712036133,21.459050270644106,0.03020651742458494,146.83333333333334,121.0,183.0,0.0 +L48_S709,9100.0,588281.2637362636,4728153.461538462,677.2527472527472,685.7692307692307,890.9560439560438,1190.5604395604394,0.2712494432926178,-0.05375221775266455,0.4888108814810658,0.7513260081574157,0.14871420912798955,0.2610198152916772,35.20932388305664,24.040409523052173,0.025470002421310967,154.98901098901095,119.0,182.0,0.0 +L48_S730,18500.0,586764.2972972973,4728028.405405405,1153.0864864864866,962.4594594594597,1077.6756756756756,1903.5621621621624,0.2508640635255221,0.06779880417334673,0.6410730587469565,1.0644072084813505,-0.18917332975244197,0.3312711298465729,46.32114028930664,25.32700741999858,0.044416471872780784,193.77297297297298,163.0,218.0,1.0 +L48_S758,5000.0,586893.2,4728052.8,1444.64,1190.62,1241.88,2108.8,0.20375408604741094,0.13110476098954674,0.6602124619483948,1.292380006313324,-0.4325056629627943,0.2891168612241745,35.16016387939453,26.35951322555542,0.06546906366944312,187.66,162.0,211.0,1.0 +L48_S769,11600.0,588226.8965517242,4727993.362068965,907.7068965517243,829.3879310344827,986.7931034482757,1769.5431034482758,0.3200995660033719,-0.01874964807591133,0.5638513526525991,0.9079626423531564,0.01853454109644597,0.3578914748183612,33.58279037475586,19.36977771849468,0.03146330641325692,133.18965517241378,119.0,168.0,0.0 +L48_S816,9400.0,586934.5744680851,4727906.808510638,1100.3085106382978,940.2234042553192,1065.3085106382978,1824.585106382979,0.2595967400739801,0.058041744784977124,0.6197187726167922,1.035280145229177,-0.17403493444014226,0.3247486914091922,31.40661430358887,19.621606867364108,0.05719627792689395,202.70212765957447,165.0,237.0,1.0 +L48_S835,14800.0,586418.6486486486,4727816.081081081,673.722972972973,696.1013513513514,889.3648648648648,1370.4594594594596,0.3286420672729209,-0.03303303062991315,0.5012554624998892,0.7530630641692394,0.04220445951245524,0.3101393505930901,45.9334831237793,25.405154988572413,0.0722963123682987,172.77027027027023,149.0,194.0,0.0 +L4_S45,2173200.0,438505.9676974047,793236.5810785937,556.2716270936867,813.6411282900792,879.3409718387633,2746.132017301675,0.6590414313013555,0.013880797135930502,0.024842505249816925,0.7497512424615301,-0.07087237874418634,0.5377209393025411,45.9795036315918,13.573683579771005,0.07328387891148441,259.67536351923434,220.0,434.0,0.0 +L4_S300,53700.0,435528.57541899435,792645.819366853,458.7132216014897,777.9143389199255,843.6108007448788,2623.9366852886405,0.7009137674083923,0.23145593258810665,0.4912919550301642,0.6934127860895082,-0.5904800639916177,0.5411100587365347,28.0552921295166,14.286511311095964,0.0370789007344448,275.8584729981378,233.0,310.0,0.0 +L4_S314,81100.0,439217.934648582,792534.7533908754,457.24044389642415,732.6066584463624,825.6473489519113,2552.298397040691,0.6947859133583403,0.10450710997782972,0.16216648712440745,0.6718314840526087,-0.4065233916044235,0.5523809117394811,34.282020568847656,13.334075115170933,0.052433893904457414,308.7496917385943,273.0,343.0,0.0 +L4_S315,18600.0,435035.376344086,792682.4193548388,470.6290322580645,825.5645161290323,857.258064516129,2635.112903225807,0.6960317476462292,0.2383284712190269,0.4886629933952004,0.7178172065365699,-0.6119251879312659,0.5218306835941089,37.08892440795898,20.921638868188342,0.02035877528169783,274.26344086021504,232.0,293.0,0.0 +L4_S342,36200.0,434878.5082872928,792573.5635359116,433.93646408839777,715.7265193370166,827.9281767955803,2208.3093922651933,0.66771383575313,0.2574578193505166,0.4915356645926586,0.659197053033344,-0.5613248206633891,0.5065329580346524,28.881126403808594,13.615062844687404,0.024241933166898412,283.4171270718232,245.0,297.0,0.0 +L4_S406,109300.0,435249.34583714546,792294.7895699908,468.9917657822507,802.932296431839,849.6322049405308,2597.790484903934,0.6924380347582578,0.2447436692539095,0.521840504899771,0.7071854232214835,-0.6075539176658219,0.5264107667025577,27.1218376159668,10.30102915798756,0.024997854739945632,303.44556267154616,276.0,336.0,0.0 +L4_S523,39400.0,438551.6497461929,792004.8984771573,440.0355329949239,722.494923857868,818.0203045685279,2532.700507614213,0.7019823288857029,0.22145663364435814,0.4594426003809508,0.6601835865962323,-0.5539722935046036,0.5543255293127244,35.5533561706543,18.25190570027695,0.034438824196000986,324.8705583756345,289.0,360.0,0.0 +L4_S538,153200.0,437196.74281984335,791483.5639686685,1059.7643603133158,1056.2943864229765,992.7780678851176,2396.814621409921,0.3890840758669236,0.5100786398716913,0.7730209027312444,1.0362789387335665,-0.9307986576470008,0.3861591129444598,44.07377243041992,24.171055164411854,0.13807391561567786,571.4249347258485,301.0,770.0,1.0 +L4_S562,44700.0,438397.63982102904,791964.5749440716,471.29082774049215,734.3378076062639,830.3803131991051,2620.7248322147652,0.6932475823550683,0.21800520579420213,0.4359019610372432,0.6786696505493233,-0.5658164164363938,0.559456124201717,36.02614212036133,17.99178941404526,0.05000066218826862,282.97539149888144,263.0,335.0,0.0 +L4_S598,40600.0,439125.1477832513,791861.3300492611,650.0369458128079,783.1305418719212,904.4753694581281,1748.817733990148,0.4548005093935088,0.35156153406709284,0.5888122980083738,0.7792142865986659,-0.6850389510833571,0.3783931664645378,40.77083969116211,32.88854632354135,0.0982163203650801,426.85467980295573,351.0,527.0,0.0 +L4_S631,14900.0,436376.81208053685,791801.0402684562,498.14093959731537,758.48322147651,832.4161073825502,2386.268456375839,0.649139569709765,0.2511286041480583,0.4166345209283317,0.6963467553957997,-0.5948320459199432,0.5127330368397219,45.2519416809082,30.138597168378386,0.05211872236190626,548.489932885906,487.0,584.0,0.0 +L4_S673,40700.0,438434.9017199017,791656.8181818181,435.3243243243243,706.0147420147422,813.7272727272727,2544.474201474201,0.7055487588084594,0.22216587189667347,0.4593529877703664,0.6516887804799936,-0.5464174515345759,0.5630815945181272,42.87297439575195,25.417221516883345,0.03998075695182094,351.7051597051597,289.0,425.0,0.0 +L4_S677,10600.0,437253.7735849057,791681.2264150943,1047.5471698113208,1132.132075471698,1039.5,3046.1415094339623,0.4922621750606681,0.420586737399956,0.6706902637796582,1.0730597517400418,-0.9678941892003112,0.4584756465453022,45.342369079589844,35.40740865131594,0.13035190274130626,463.7169811320755,412.0,513.0,1.0 +L4_S680,16900.0,437254.4082840237,791624.3491124259,569.8402366863905,844.1242603550296,859.7100591715978,3017.094674556213,0.6793316421071454,0.2382565238595714,0.4616225733912202,0.7578915167137009,-0.6541521034297153,0.5599129182347179,46.46145629882813,31.724274674816247,0.13274791854373094,493.6923076923077,441.0,536.0,0.0 +L4_S699,43200.0,437429.49074074073,791495.1157407408,887.4398148148148,996.2476851851852,948.2268518518518,2550.9606481481487,0.4832110378753256,0.4338949824234954,0.6807698272858504,0.943971450544066,-0.8416231550552227,0.4356994179801809,42.66043090820313,29.888605349593693,0.11477490880147175,513.0717592592592,420.0,600.0,1.0 +L4_S714,20500.0,438037.5853658537,791510.6097560975,453.83902439024394,717.1951219512197,813.0634146341464,2747.580487804878,0.7139936525647234,0.2146655254247712,0.4604392832372247,0.6613658535771254,-0.5556961931833406,0.5836309632150138,36.485599517822266,22.90531770194449,0.04199336783551588,381.9512195121951,331.0,455.0,0.0 +L4_S734,8300.0,437248.73493975896,791533.5542168673,526.5060240963855,832.1325301204819,843.0602409638554,3096.253012048193,0.7061985422329731,0.19510466964489007,0.3514562364084175,0.7338995998164257,-0.624576850827918,0.5737479192664824,40.44378280639648,23.289794715054068,0.1355523958084095,539.0,518.0,571.0,0.0 +L4_S775,23400.0,439399.6153846154,791345.3418803419,477.79487179487177,758.7222222222223,837.2179487179487,2901.393162393162,0.7121572500874853,0.21161139998425785,0.4539617627349674,0.6912450135773064,-0.5883733609802703,0.5810947596517384,33.20836639404297,23.657934327410835,0.050540314509700514,372.55128205128204,327.0,427.0,0.0 +L4_S814,82400.0,435113.1189320389,791095.6067961166,922.3592233009707,948.4029126213593,985.3737864077667,2061.6699029126207,0.3869513076847618,0.4704110177902921,0.8229357111222536,0.952045306925056,-0.8683765912518918,0.3694572941336817,27.70539474487305,10.760860377434387,0.1482058581127559,320.3118932038835,280.0,346.0,1.0 +L4_S833,10700.0,437370.42056074773,791238.1775700934,943.0186915887849,966.1308411214952,918.3831775700937,2331.1308411214955,0.42075259412560506,0.42101009343272056,0.5917182536882775,0.9425109039957278,-0.7665139099704885,0.4105742348131732,42.21775817871094,24.041425464309267,0.11490749303147058,664.5607476635514,600.0,694.0,1.0 +L4_S941,21500.0,438567.0465116279,790741.9767441859,484.1488372093023,732.2372093023256,812.2651162790698,2419.8418604651165,0.662442495656568,0.2306530820075856,0.3873131319533947,0.6762170564296633,-0.5668693018514056,0.5305388604485711,50.3404312133789,29.424796144352406,0.06154275812035384,759.7069767441859,667.0,787.0,0.0 +L55_S52,13500.0,734146.5555555555,5326381.296296297,359.5703703703704,617.5777777777778,713.4814814814815,2625.229629629629,0.7531350219691241,0.061489336344378975,0.4268508074460206,0.5635432095439346,-0.2100350652579908,0.6117897071220256,48.16318130493164,36.426772322478115,0.05290487765989922,832.2962962962962,784.0,908.0,0.0 +L55_S63,5100.0,731217.7450980393,5326366.37254902,1950.5294117647054,1761.7450980392155,1589.0588235294117,3453.4901960784314,0.3012293417956315,0.4432126409282871,0.5448319397720636,1.767111112089718,-1.1034318360627866,0.3409350707250483,34.69308090209961,32.32462127535951,0.1922825151214413,466.86274509803917,437.0,489.0,1.0 +L55_S145,20500.0,733748.0243902439,5326185.780487805,677.7073170731708,830.4341463414634,857.8536585365854,2331.6341463414637,0.5507229274365961,0.21410430427186367,0.5443710751649811,0.7886650390741302,-0.3771365284919739,0.4741385308707632,45.15420150756836,37.12428384176115,0.06571997562196198,1036.0634146341465,930.0,1161.0,0.0 +L55_S207,12100.0,733929.2975206611,5326051.611570248,1298.297520661157,1215.1818181818182,1205.0247933884298,2210.5619834710737,0.2728263821360494,0.5158572465427651,0.7597941076459963,1.239501376782567,-0.7926088285840247,0.29426640752425864,55.06412887573242,38.87499429371732,0.16745538812530927,929.6446280991736,861.0,1032.0,1.0 +L55_S256,18100.0,732735.7182320444,5325925.4419889515,342.24309392265195,572.2265193370166,709.4585635359116,1671.9558011049726,0.6580985214828786,0.09432197898981362,0.4144206160669169,0.5413093943951538,-0.1850444192056498,0.4871991092328867,41.01187515258789,33.17567673572519,0.049122126886199186,675.7734806629834,618.0,712.0,0.0 +L55_S265,52600.0,731303.422053232,5325890.551330798,2013.642585551331,1841.4315589353607,1754.0589353612168,3070.69391634981,0.2568578318526309,0.4536122240528054,0.7652893100401295,1.8697110260394136,-1.413493362811355,0.27890732135099605,40.43650817871094,30.509822765683946,0.20375675100394075,487.98479087452466,387.0,634.0,1.0 +L55_S268,22900.0,730100.807860262,5325786.9650655035,972.227074235808,1034.943231441048,1093.9868995633187,1935.532751091703,0.4037964916320347,0.2592747726977913,0.4891611306427868,1.0337190687916684,-0.5702386514718876,0.33321717420519703,51.68782424926758,40.67337799905169,0.15642488949553934,674.1397379912664,512.0,813.0,1.0 +L55_S303,14500.0,734899.6896551723,5325865.896551725,392.21379310344827,654.5931034482759,737.5310344827586,1969.4275862068966,0.6652112463424946,0.1247424123102221,0.3996345587845506,0.5947793089110276,-0.2058107853449624,0.4975895692562235,50.48363876342773,33.07492445584001,0.09145571368521656,861.4068965517241,780.0,906.0,0.0 +L55_S329,17300.0,732546.7341040462,5325764.1907514455,306.38150289017335,491.17919075144516,680.4219653179191,1026.9537572254337,0.5295049505943508,-0.11127927089298437,0.5241845825504017,0.4926608871517843,-0.1961726523031389,0.3362643942613736,40.75494003295898,33.29458667777177,0.07924792108077534,703.2947976878612,656.0,772.0,0.0 +L55_S333,22300.0,734558.0493273544,5325767.735426009,407.94618834080717,583.7847533632288,723.6322869955156,1347.2645739910313,0.5175442510522534,-0.0037794680989268045,0.5905488744177626,0.5717877411521604,-0.2704336327154005,0.3711620281062051,42.14555740356445,30.49407544585087,0.09134136247260688,913.7982062780268,866.0,980.0,0.0 +L55_S578,92800.0,730866.875,5325111.918103448,1620.957974137931,1522.634698275862,1465.2866379310346,2987.6109913793102,0.3355931915174206,0.3392489505903509,0.7443160608667752,1.5362931031990668,-1.1045433155036175,0.3432341599917232,60.29315948486328,42.23517705243209,0.1590244009978427,721.0140086206897,477.0,1096.0,1.0 +L55_S707,18200.0,734135.0,5324952.2527472535,323.10989010989016,539.5989010989011,682.9065934065934,1179.9120879120876,0.5546206882694266,-0.24474914368385306,0.5341757252648637,0.5152051280160527,-0.2319166402404125,0.3523984580085828,42.17379760742188,30.836733975253267,0.06638603810998765,916.0989010989013,819.0,986.0,0.0 +L55_S745,73900.0,731046.5020297698,5324785.947225981,2009.0487144790256,1845.200270635995,1725.916102841678,3341.646820027064,0.29021182721820993,0.4968201178094531,0.7607221680419854,1.8600550270532241,-1.3941931930220661,0.3141050381996796,54.1230697631836,38.58591167336388,0.17990080323649998,627.723951285521,430.0,845.0,1.0 +L55_S776,33500.0,732034.6716417909,5324708.850746268,505.2507462686567,673.0179104477612,786.0029850746267,1952.689552238806,0.5915579645491358,0.06448881047753506,0.5286293733475813,0.6547572132366807,-0.2824531843413168,0.4754549098548605,41.07145309448242,27.54690698936804,0.06523363541311293,604.3194029850746,532.0,656.0,0.0 +L55_S801,10300.0,732086.5533980583,5324789.563106797,544.0097087378641,712.5145631067961,810.0776699029126,2290.9320388349515,0.6112458271887696,0.15499075996752792,0.4185314020774897,0.6888673160840006,-0.2327002295591299,0.5131972426349677,40.72566604614258,29.11109114156186,0.07799291426261652,601.1456310679613,552.0,624.0,0.0 +L55_S882,23400.0,730289.3162393162,5324503.11965812,613.6196581196581,822.042735042735,820.0384615384614,3514.6324786324785,0.6957993856352619,0.05514170902373984,0.3870189359300157,0.7519002839540824,-0.2800052583408661,0.6141961712358345,28.685306549072266,13.360361242905643,0.07101815719252977,1045.1666666666667,1020.0,1069.0,0.0 +L55_S889,10000.0,730122.9,5324560.8,722.25,892.21,854.35,3635.89,0.6684307277202606,0.0461586075482046,0.3612110309302807,0.8229366677999497,-0.32596435517072675,0.605636373758316,33.599334716796875,26.42643684387207,0.057883765958249574,1064.36,1039.0,1093.0,0.0 +L55_S898,8000.0,730418.125,5324562.75,553.2875,705.9625,776.85,2398.475,0.6205858275294304,-0.10333299574558624,0.6276150293648243,0.6787000015377999,-0.3582867909222841,0.540431497246027,34.59434127807617,21.46924062371254,0.06843140316195788,1067.0875,1044.0,1096.0,0.0 +L55_S931,23000.0,730548.5217391305,5324426.608695652,886.2521739130435,1066.9521739130437,956.4521739130437,4067.395652173913,0.6410623713679936,0.09636945297243074,0.3654401887370192,0.9698855063189632,-0.3972831839128681,0.5809198908183886,57.41780090332031,43.09494364779928,0.06105244755744934,970.5695652173912,846.0,1074.0,0.0 +L55_S967,9500.0,730252.6842105263,5324401.52631579,642.0315789473684,760.9052631578948,830.6315789473683,2149.6526315789474,0.5474675043633109,-0.06936260419836464,0.6703132488225636,0.7445228049629613,-0.4260588765144348,0.4786413092362253,30.34528923034668,22.360630507218215,0.06848468780517578,1029.7052631578947,1001.0,1067.0,0.0 +L55_S1044,46300.0,734428.261339093,5324074.58963283,987.511879049676,1024.6004319654428,1067.4773218142548,1973.8855291576676,0.3501156674693972,0.11422088219330105,0.8505341028935451,1.0265298758675676,-0.7266974876238512,0.3195248461020688,55.74667358398438,42.13618698284899,0.20297369245061608,655.7019438444925,489.0,807.0,1.0 +L55_S1095,12800.0,731788.828125,5324079.296875,466.2421875,695.984375,764.84375,2531.578125,0.6839357945136726,0.09605514239410697,0.4301843743305653,0.6423567705787718,-0.2477843227097765,0.5600927218329161,24.649858474731445,14.069130629301071,0.04043644094781485,545.65625,518.0,569.0,0.0 +L55_S1117,54800.0,730526.1313868612,5323940.711678832,1673.3923357664237,1576.7372262773722,1475.6332116788321,2867.470802919708,0.2734009098112039,0.30932706033230595,0.7858860370886587,1.5752542574692816,-1.174445924423907,0.28984161770144606,62.49545288085938,43.358518603944425,0.18199862848396284,863.3576642335768,638.0,1055.0,1.0 +L55_S1142,25500.0,733772.0980392157,5323930.725490197,1061.3764705882354,1054.41568627451,1080.713725490196,2237.733333333333,0.3749453165659717,0.41329981883366895,0.7028734902540843,1.0655019610535863,-0.6339682265823963,0.3654179342237173,47.98314666748047,35.280879824769265,0.13130904900677065,847.6117647058824,715.0,1024.0,1.0 +L55_S1337,13100.0,730459.1984732824,5323536.4503816785,1692.0381679389313,1646.1221374045801,1488.8396946564887,4164.610687022901,0.4340441585269593,0.2338392697843432,0.4553829110760725,1.6090000016998698,-0.8514626093265665,0.4403220872387632,57.99810028076172,41.78660038955339,0.13656682475605084,759.175572519084,677.0,879.0,1.0 +L55_S1582,9500.0,735017.8421052631,5323007.842105263,1070.0736842105264,1068.0736842105264,1077.2736842105264,1950.8736842105263,0.3116412937641144,0.30555327384683645,0.8721647588830245,1.0718070180792558,-0.7506094634532928,0.2945966943314201,49.25284957885742,41.22056499280428,0.22764965405589654,268.5684210526316,206.0,341.0,1.0 +L55_S1651,26500.0,734641.8301886794,5322807.7169811325,1170.2566037735849,1183.5245283018871,1148.245283018868,2758.0075471698115,0.4299405479206229,0.3970104666040191,0.8097091483619978,1.1673421398648676,-0.7839352220859168,0.4090076444846279,45.37129592895508,37.186196589919746,0.1987909600700972,367.44905660377367,295.0,448.0,1.0 +L55_S1770,18800.0,733951.1170212766,5322599.095744682,1267.8297872340424,1233.2180851063831,1191.1702127659576,3001.622340425532,0.4185218850269597,0.2471477042591358,0.8184183258959588,1.2307393645986595,-0.853039949339755,0.4214130712950484,49.76831436157226,40.08005610932696,0.18740444796833586,554.781914893617,476.0,653.0,1.0 +L55_S1877,7700.0,733927.5974025973,5322350.324675323,910.3636363636364,1002.8051948051947,1013.6623376623377,2445.87012987013,0.4708269788073255,0.1936239641078131,0.7891438673068951,0.9756103870156524,-0.6617000691302409,0.4217265120574406,45.61235046386719,41.443869603144655,0.15844436280139082,524.1818181818181,479.0,603.0,1.0 +L55_S1886,19300.0,733571.7357512953,5322298.626943005,774.2072538860103,924.5544041450777,931.8963730569948,3214.2849740932647,0.6162891617247478,0.12980906629616426,0.6172794316716762,0.8768860107876476,-0.4852241760245259,0.5524448886745335,56.37112808227539,38.03454551301472,0.08072613459563008,677.979274611399,550.0,833.0,1.0 +L56_S153,37000.0,732404.4594594594,5331043.783783784,308.55945945945945,506.2162162162162,692.4972972972972,1231.4432432432432,0.5844854239072349,-0.024446425819105812,0.4791522928991833,0.502424323719901,-0.16086406015061044,0.3988140600154529,47.6036605834961,29.44911230061505,0.07049161792808288,451.04594594594596,353.0,524.0,0.0 +L56_S309,53500.0,731374.8691588785,5330649.897196262,891.207476635514,911.0448598130839,1014.5588785046727,1285.4803738317758,0.19474970207889086,0.16198531546299216,0.84751601976769,0.9389370721634304,-0.6139980549845739,0.17076299680292467,50.09656524658203,37.55943844518929,0.18245554406230693,474.1570093457944,375.0,641.0,1.0 +L56_S312,24300.0,732781.9547325103,5330643.189300411,951.2304526748973,934.238683127572,1028.9958847736625,1601.9835390946505,0.2735660815987077,0.3848330111783228,0.7342292151333373,0.9714883394202088,-0.5584876629305474,0.2689397067076875,49.99376678466797,40.158156893380884,0.1410459583862819,668.9794238683128,549.0,833.0,1.0 +L56_S382,35000.0,730952.4857142858,5330471.714285715,982.8485714285713,1005.76,1108.1228571428571,1297.1314285714286,0.15627850548164654,0.2834030376934347,0.7718940113271986,1.0322438100406102,-0.6640114586268152,0.13117345839955047,54.87285232543945,38.22729486737933,0.17999666218246732,587.2228571428573,473.0,710.0,1.0 +L56_S737,28700.0,731002.3867595819,5329618.867595819,340.5958188153311,552.8815331010453,710.6515679442508,1733.7770034843204,0.6501199223023258,0.08780657993921627,0.4369248412419695,0.5347096403924431,-0.15457741422935645,0.4931914682795362,41.485198974609375,28.18940191235692,0.055350120266970865,545.5017421602787,496.0,612.0,0.0 +L56_S965,21500.0,731402.1627906977,5329056.953488372,323.99069767441864,547.7023255813954,694.586046511628,1520.0186046511628,0.6473527611688126,0.0291019553962965,0.4368974041107089,0.5220930231171985,-0.16392961653859114,0.4685566365718842,22.612232208251953,12.471301668743756,0.021506129023294115,646.8093023255814,614.0,671.0,0.0 +L56_S1006,20800.0,732137.9807692308,5328938.701923077,476.1586538461538,691.2019230769231,771.8894230769231,2212.1009615384614,0.6464396124848952,0.04338355697473162,0.4105623993449487,0.6464166664160215,-0.2221794000182014,0.5179372514383151,27.67624855041504,15.379420367571026,0.030933533732492764,642.8557692307693,616.0,660.0,0.0 +L56_S1036,13900.0,731840.3237410071,5328883.7050359715,376.1870503597122,578.884892086331,722.6690647482014,1406.8201438848919,0.5685981372706324,0.011781653493187196,0.4311579184995281,0.5592470021127797,-0.18110694559358007,0.3954279093916039,41.67428970336914,20.341368428237146,0.055722180753946304,610.7625899280574,560.0,628.0,0.0 +L56_S1285,5800.0,732414.1379310343,5328305.0,974.0,985.8793103448276,1051.4137931034484,1645.8103448275863,0.2898539362539505,0.33455840143342985,0.7897939193865349,1.0037643703921089,-0.6413330736345259,0.2649715195955901,43.76370620727539,39.39765469781285,0.19961116026187764,348.67241379310343,303.0,390.0,1.0 +L56_S1347,2800.0,733572.1428571428,5328149.285714285,986.0714285714287,951.8928571428572,1023.0357142857144,1646.5357142857142,0.2627802251705101,0.3960151635110378,0.7781263632433755,0.9869999928133828,-0.5833818816712925,0.2724934795073101,38.879066467285156,36.8583778653826,0.14415025684450353,489.32142857142856,466.0,515.0,1.0 +L56_S1494,23500.0,732922.0212765958,5327648.021276596,906.4595744680852,921.2553191489363,1021.2425531914894,1480.2851063829787,0.24421609345268694,0.3677934606024559,0.7196042391848056,0.9496524834886512,-0.5417509604641731,0.2229054454040337,56.05262756347656,40.853549665085815,0.14271179187171,531.1617021276596,368.0,733.0,1.0 +L57_S1023,17000.0,729582.7647058823,5334115.352941177,541.8,713.1117647058824,789.2882352941176,1911.1294117647062,0.5621398740831544,-0.04785707082863904,0.4216287555063472,0.6814000010490417,0.1609425591715776,0.4521911326576682,44.63500595092773,30.366470106910253,0.12662782833418426,1155.4941176470588,1068.0,1209.0,0.0 +L57_S1038,18900.0,728959.126984127,5334068.544973545,894.6984126984128,955.3915343915344,1102.116402116402,923.1534391534392,0.009067543929198844,0.15856594579028233,0.4519895278902912,0.984068784764204,0.20749805079989886,-0.02611377399424633,43.86930847167969,36.444454788530955,0.04986319419430204,1281.037037037037,1189.0,1369.0,0.0 +L57_S1064,36800.0,729715.6793478259,5334019.755434782,307.0434782608696,522.1739130434784,669.8885869565217,1849.0326086956518,0.7045997530221939,-0.4560040384632252,0.4913806592964608,0.4997019935399294,0.02650560888476953,0.5440597332528104,43.87958908081055,33.49735322724218,0.05720920487226028,1086.375,1003.0,1155.0,0.0 +L57_S1192,12400.0,726509.193548387,5333733.225806451,686.8870967741935,767.8225806451613,894.5,1110.1774193548388,0.21506962839574106,-0.09067627475879787,0.6840879760922924,0.7830698917950353,-0.15484688134353247,0.15439017814013264,50.60831069946289,39.32453063226515,0.12388495896612445,1229.1209677419354,1126.0,1351.0,0.0 +L57_S1705,3100.0,729590.806451613,5332493.70967742,974.0,990.7741935483873,1051.1290322580646,1846.483870967742,0.3195508543041445,0.3455025478596649,0.807525880875126,1.0053010871333459,-0.3791905214349108,0.3038923153954168,46.72051620483398,42.721326520366055,0.17936907131825724,936.7741935483873,910.0,981.0,1.0 +L57_S1905,34600.0,728986.936416185,5331823.294797688,617.9248554913295,743.6849710982658,883.121387283237,1568.5,0.37594123679950747,-0.06961397182568503,0.6767890448170589,0.748243736307745,-0.1514476870867623,0.28452014762570416,54.09498977661133,38.683173262314995,0.2126916363576933,875.4971098265896,794.0,1019.0,1.0 +L58_S9,36900.0,735676.2466124663,5326210.799457993,1515.2140921409216,1363.420054200542,1330.4254742547425,2177.5230352303524,0.20337947854787355,0.7046250394043237,0.7326742082753479,1.4030198771456068,-0.6211111094090166,0.2407109860966845,51.61463928222656,41.36700917065628,0.1571221950900587,557.0677506775068,441.0,721.0,1.0 +L58_S76,15900.0,739776.6352201258,5326194.0566037735,295.4213836477988,503.6918238993711,720.62893081761,1598.0880503144656,0.6867430982349804,0.25935502340958555,0.472211369366016,0.5065807132226117,0.012343869388887641,0.5188880019217917,21.277246475219727,5.243062302751361,0.029413714805770225,20.446540880503143,16.0,32.0,0.0 +L58_S96,11500.0,735345.2608695652,5326165.0869565215,425.8782608695652,642.2347826086958,759.3913043478261,1861.2782608695647,0.6136634665986765,0.3280193985804268,0.4753970674846483,0.6091681153877921,-0.004903057864145882,0.4730989430261695,47.29499435424805,41.91179003508196,0.10332738682627678,600.2695652173912,545.0,657.0,0.0 +L58_S102,51700.0,736639.235976789,5326033.1431334615,579.5551257253385,903.9187620889747,847.0019342359767,4184.7427466150875,0.7537001981264848,0.17475186899390854,0.22374541672735654,0.7768252752505141,0.21550804854907016,0.6410828479484617,22.48956680297852,12.559561207400534,0.038037892450836115,356.68471953578336,327.0,403.0,0.0 +L58_S135,18300.0,735371.830601093,5326030.464480874,356.89071038251365,593.6612021857924,719.8524590163935,1677.8469945355191,0.6472765492285536,0.2936424617070318,0.4160927112310962,0.5568014562455683,0.02591323968191005,0.4741952442080597,47.04242324829102,39.46456237959732,0.10256553080971123,702.7431693989072,609.0,793.0,0.0 +L58_S144,22100.0,735223.0090497738,5325919.0271493215,295.39366515837105,525.0904977375566,680.5746606334843,1574.5203619909507,0.6696410462327672,0.2673248071476345,0.43399656843815454,0.5003529398689442,-0.0020922136703601982,0.4811334542559283,43.77909851074219,34.69040312270773,0.053329009663869886,748.3303167420813,634.0,840.0,0.0 +L58_S151,5000.0,735102.8,5326038.0,852.38,945.3,984.1,2720.44,0.5278803113102913,0.4387064394354821,0.7235879009962082,0.927259999513626,-0.3348392823059112,0.4833433431386948,49.128334045410156,41.54612373352051,0.130154277831316,676.66,644.0,717.0,1.0 +L58_S157,13300.0,736125.4511278195,5325993.721804512,373.07518796992485,627.4285714285714,737.9172932330828,2177.1428571428573,0.7060939499310085,0.22146428701348767,0.3889064046001076,0.5794736832604372,-0.006306485126494812,0.5488080971671226,37.86746597290039,28.177732725788776,0.02924612810120995,530.375939849624,482.0,589.0,0.0 +L58_S169,14700.0,739815.0,5325939.013605442,648.1360544217687,845.7278911564625,922.2585034013606,2489.095238095238,0.5850113480269503,0.33355510843043423,0.4193512189144991,0.8053741495625503,0.01003069008000078,0.4911508992010234,5.9456119537353525,2.3002221345090543,0.06931438872299228,10.63265306122449,9.0,13.0,0.0 +L58_S187,16000.0,735654.75,5325905.75,542.63125,728.69375,812.6,2120.86875,0.5968471499159932,0.3369827598333359,0.4666552288457752,0.6946416668593883,-0.044697694399292234,0.4873303852975369,38.94725799560547,33.212630081176755,0.047749126132112,757.9125,667.0,796.0,0.0 +L58_S188,18900.0,736210.5026455027,5325901.455026455,347.0740740740741,608.7936507936507,727.6878306878308,2314.798941798942,0.7340134010113105,0.19551765556057926,0.4330621672370447,0.5611851839792161,-0.03763533529835364,0.5772771363851255,34.88887405395508,25.768995572650248,0.03768414334842452,488.984126984127,437.0,530.0,0.0 +L58_S192,16500.0,739188.2727272727,5325897.0,284.89090909090913,496.85454545454553,716.2727272727273,1649.6121212121209,0.7052969531579452,0.24334831951242505,0.4761563431132924,0.4993393926909476,0.006607960504168824,0.5361927045114112,14.643954277038574,7.33087735898567,0.039978510259904634,29.56969696969697,15.0,37.0,0.0 +L58_S209,10400.0,735530.6730769231,5325888.557692308,439.5096153846154,659.5384615384615,758.8076923076923,1929.75,0.6301617628106704,0.3091643779323651,0.3786579340409774,0.6192852556705475,0.030792512197737012,0.4847086733923509,44.41380310058594,39.16997109926664,0.04381183135466507,813.4134615384614,773.0,856.0,0.0 +L58_S262,12200.0,735147.7049180326,5325752.295081968,350.5327868852459,597.6475409836065,712.9426229508197,2112.27868852459,0.7114873582222423,0.2427497507363069,0.4366196008002172,0.5537076511832534,-0.002944650224264001,0.5544400559585603,47.36589431762695,31.88762375565826,0.04823157102724568,803.6967213114754,753.0,890.0,0.0 +L58_S302,21700.0,736402.9262672811,5325660.5299539175,367.5115207373272,652.8986175115208,741.2304147465437,2951.6589861751154,0.7713119362905827,0.17341081564602215,0.4098769125575844,0.5872135165100274,-0.03280642248918399,0.6286089774650363,33.83859634399414,23.34412855157105,0.04463167873979439,441.26728110599083,386.0,485.0,0.0 +L58_S358,9500.0,735938.5789473684,5325558.789473685,824.0315789473683,961.7263157894736,949.9894736842107,3098.778947368421,0.581109396564333,0.3391240446191085,0.3460323868613494,0.9119157916621158,0.11479248949939287,0.5254799096207871,42.30669784545898,36.287533047324736,0.1423632086891877,667.8631578947368,602.0,740.0,0.0 +L58_S573,12400.0,736276.3709677418,5325051.612903226,348.4193548387097,605.266129032258,725.5483870967741,2298.2741935483873,0.7362764852662241,0.2075176449312318,0.4366557562062817,0.5597446229188673,-0.02544017593332213,0.5824431007908236,33.44220352172852,25.86084264324557,0.02313533504193108,529.733870967742,487.0,583.0,0.0 +L58_S607,99200.0,737139.9193548388,5324744.092741936,2368.547379032258,2164.2903225806454,1996.7016129032254,3460.3840725806454,0.22715968197594666,0.6940951062396409,0.8315121694918601,2.176513102927035,-1.5117994955752134,0.2546973845380689,49.36095428466797,40.05724593708592,0.1639308423900436,312.9909274193548,140.0,472.0,1.0 +L58_S795,405000.0,737647.5111111111,5323492.259259258,1444.2706172839505,1651.0543209876544,1776.3204938271606,1325.7116049382714,-0.0744708909575517,0.6708747432408511,0.8171663958422931,1.6238818109918525,-0.807904080294682,-0.14517299215971166,13.249879837036133,0.7892168406203941,0.1441457123718696,0.234320987654321,0.0,9.0,1.0 +L58_S1151,15400.0,736419.935064935,5323215.64935065,909.8116883116884,972.2077922077922,1038.1168831168832,1823.3701298701294,0.3437156976236925,0.4854587892481646,0.8119944126962068,0.9733787867930028,-0.5069473231961201,0.29474346140133484,49.65387344360352,31.908300684644033,0.2138227224349976,152.64285714285714,117.0,192.0,1.0 +L58_S1164,15100.0,737265.331125828,5323193.145695364,1341.3708609271525,1307.4635761589404,1266.1854304635765,2536.980132450331,0.32267821052062345,0.5718341965154307,0.7558599978882745,1.305006625636524,-0.604794475663182,0.3223922516879262,43.91482162475586,21.722789158884268,0.2205771424912459,39.01986754966889,6.0,131.0,1.0 +L58_S1197,7500.0,735154.2,5323145.133333334,1133.7066666666667,1121.3733333333332,1106.8933333333334,2243.5333333333333,0.3534800516565641,0.4625314209858576,0.8575601553916932,1.120657779375712,-0.6446295077105363,0.33773196955521895,44.981224060058594,35.699548486073816,0.20121364533901212,217.8533333333333,182.0,265.0,1.0 +L58_S1211,29800.0,736457.9530201342,5323022.818791946,1044.0536912751677,1103.8489932885907,1205.5436241610741,1632.731543624161,0.21872955882584288,0.5888964322914413,0.8352156613497126,1.1178154331325685,-0.6446892079840971,0.1815381434663268,52.107826232910156,36.84042231348536,0.20425796625048126,139.23489932885906,90.0,245.0,1.0 +L58_S1224,12500.0,735205.32,5323002.28,835.576,922.064,979.552,1997.496,0.4077033662796021,0.499573202431202,0.7684388096332551,0.9123973364830016,-0.40388120649755,0.3546707236766815,39.08493041992188,25.519229850769047,0.19415100383758546,192.104,163.0,230.0,1.0 +L58_S1259,52600.0,737166.6539923955,5322664.239543727,1807.9220532319393,1788.8041825095056,1803.4543726235738,2196.1692015209123,0.10570244564966497,0.557508675516105,0.7671343383906912,1.800060204340025,-0.6943332043904882,0.10487865294996444,7.692414283752441,2.920574214068656,0.12580936408456514,1.779467680608365,0.0,6.0,1.0 +L58_S1264,17000.0,735368.8823529412,5322849.705882353,1214.1176470588236,1179.7647058823532,1142.4352941176473,2447.3705882352947,0.3552690240390161,0.5409566154922633,0.8743585050106049,1.1787725490682266,-0.6645548486753422,0.354738705210826,42.66020965576172,33.45885659947115,0.22331308740026806,184.28235294117644,147.0,239.0,1.0 +L58_S1319,21000.0,735938.3333333335,5322659.904761905,976.047619047619,1019.2714285714287,1041.9809523809522,2215.2714285714287,0.3967546410858631,0.5314385629126004,0.7967645401046389,1.012433332772482,-0.4505531572515056,0.365302825861034,49.61255645751953,33.359184655689056,0.17367411937032426,128.8,90.0,197.0,1.0 +L58_S1390,15200.0,736119.4736842107,5322496.644736842,1526.296052631579,1399.1118421052633,1299.6513157894738,2294.0394736842104,0.2441814723424613,0.6790648108642352,0.8454900019262966,1.4083530687187846,-0.7718904223047981,0.2619208233725083,48.26126098632813,26.932464775286228,0.2509083844917385,82.10526315789474,56.0,127.0,1.0 +L58_S1479,25800.0,735772.4418604651,5322148.527131783,916.1434108527134,972.7364341085272,1039.8449612403099,1786.1744186046512,0.3274899512067322,0.5860991949258849,0.8069730729095695,0.9762416045333064,-0.463117599465646,0.28387830921181645,42.59153366088867,33.35997114255447,0.2264926152289376,92.75581395348836,24.0,176.0,1.0 +L58_S1585,4300.0,735514.0697674418,5321954.76744186,724.0232558139536,899.6279069767443,948.813953488372,2606.674418604651,0.5710341500681501,0.3021041425161584,0.6746766685053359,0.8574883702189423,-0.36914275998119706,0.4870968176875004,39.06776809692383,28.34601247033407,0.08498653613550719,135.1627906976744,103.0,169.0,1.0 +L59_S234,11600.0,739004.3103448277,5330759.482758622,700.2327586206897,949.8879310344827,932.7413793103447,3041.0,0.6229920662168799,0.1974866241296946,0.4907071762557688,0.8609540231268982,-0.25582108068568954,0.5210875318995838,28.372522354125977,17.540864590940803,0.08245192824638095,114.42241379310344,88.0,159.0,0.0 +L59_S288,36900.0,738850.4200542006,5330587.16802168,637.6341463414634,926.3089430894307,909.1788617886177,3304.869918699187,0.6743040298866386,0.2093991680237336,0.22153933184741312,0.8243739844014651,0.07173286247077247,0.5596704630024711,15.84392547607422,5.010607266975289,0.06810274563204789,84.1869918699187,75.0,95.0,0.0 +L59_S335,11300.0,738903.7610619469,5330466.6814159285,584.141592920354,781.8141592920354,864.141592920354,2156.9734513274343,0.5750003367398693,0.3206755371220344,0.4384434154603334,0.7433657788597376,-0.0489984000043993,0.4621236730465847,11.262070655822756,6.0013290949627365,0.05134828833747754,78.01769911504425,70.0,88.0,0.0 +L59_S362,14600.0,739175.3424657534,5330488.150684931,807.1506849315068,924.1232876712328,973.8835616438356,2522.849315068493,0.5168006350732829,0.3804174161528888,0.5084873578728062,0.9017191786472112,-0.15014743251241233,0.4603985647020274,13.5330810546875,4.973354876857915,0.07335945183079537,80.78767123287672,75.0,86.0,0.0 +L59_S369,22200.0,739030.3603603605,5330470.360360362,690.6981981981983,928.1351351351352,930.5225225225224,3002.117117117117,0.6252240278162398,0.29236592976628123,0.38534025975444297,0.8497852844160956,-0.02539405933171807,0.526781881848971,11.152749061584473,4.077243035978025,0.05364520427443691,83.27027027027026,77.0,87.0,0.0 +L59_S536,26500.0,736543.2641509435,5329970.018867925,890.5735849056604,1066.2188679245282,1076.6377358490563,3027.4566037735854,0.5695818617658795,0.3650729376190114,0.5320948934779977,1.0111433944612178,-0.2314287181800881,0.4886292545581764,38.87653350830078,9.50177767276764,0.14799122298663514,85.90943396226416,78.0,121.0,1.0 +L59_S538,6000.0,736732.6666666665,5330048.166666667,1912.083333333333,1755.5666666666666,1669.3166666666666,2840.55,0.21763303043941656,0.651658122241497,0.4274984548489253,1.778988886872927,-0.44244574087982375,0.2506275882323583,35.94283676147461,21.978922398885093,0.1824151635169983,95.28333333333332,75.0,116.0,1.0 +L59_S608,9900.0,736635.404040404,5329838.03030303,1757.7676767676767,1680.5555555555554,1603.6767676767677,3188.5151515151515,0.3205726460525484,0.5584145137155899,0.4603276731389941,1.6806666676444235,-0.5481447226631295,0.3270935070033025,41.4375114440918,24.514124195985122,0.14537790372516168,94.11111111111113,73.0,133.0,1.0 +L59_S712,10500.0,736620.2380952381,5329556.6190476185,1667.666666666667,1532.247619047619,1507.0761904761905,2707.1714285714284,0.2432840073392505,0.6174879579317002,0.4303748935461044,1.5689968182927083,-0.22202465100923466,0.2773607279573168,41.38629150390625,31.408867954072495,0.09438150315767242,100.8095238095238,77.0,127.0,1.0 +L59_S756,14500.0,736662.448275862,5329381.482758622,1915.2965517241378,1741.248275862069,1675.0344827586207,3082.6,0.26231320690492105,0.5936247708468602,0.371866845467995,1.7771931019322629,-0.2353371947618394,0.2968406098669973,49.81134414672852,36.17955253864157,0.1025767891828356,124.4,80.0,151.0,1.0 +L59_S762,20700.0,736776.4975845411,5329393.502415459,1584.1497584541062,1555.2318840579708,1488.3864734299514,3386.115942028985,0.4193898184215965,0.4734253241244146,0.4626176853254798,1.5425893733466882,-0.4368901985507922,0.4062310222554322,49.81134414672852,17.124265684021847,0.12370047038016113,65.09661835748793,49.0,122.0,1.0 +L59_S990,43300.0,736735.092378753,5328704.422632795,1624.704387990762,1549.1039260969974,1578.5750577367205,2021.3533487297918,0.12031175633870908,0.7502017220090773,0.7550437582557802,1.584127786528431,-0.9140260847453155,0.1349142214313459,49.4407958984375,37.8546323528466,0.11304038609905,137.35565819861432,71.0,244.0,1.0 +L59_S993,41100.0,738603.5888077859,5328782.201946472,957.4282238442822,1031.7737226277372,1017.3917274939172,2904.440389294404,0.5040860467583593,0.44929862486475,0.7881626523759243,1.0021978919813523,-0.2787170816131317,0.4754616408597524,9.905726432800293,2.6628424940028044,0.059563254905805676,39.374695863746965,34.0,46.0,0.0 +L59_S1013,21200.0,736968.3962264152,5328743.113207547,3091.3113207547167,2718.334905660377,2499.933962264151,4052.575471698113,0.14631240923871408,0.7303576129225066,0.4956322632870584,2.7698600663329063,-1.0209044627515809,0.20589527066023844,41.43645858764648,36.61854074586113,0.09504951432979894,133.00471698113208,60.0,219.0,1.0 +L59_S1023,51500.0,737815.6407766991,5328657.504854369,514.757281553398,902.5708737864078,869.5514563106797,4017.231067961165,0.7697550760889517,0.18799428387174327,0.4679861731899595,0.7622932047519869,-0.12458447964581687,0.63041599676447,11.155782699584961,3.3426473646488004,0.04903429990218392,46.40582524271845,40.0,57.0,0.0 +L59_S1032,24300.0,737631.8724279836,5328720.555555556,838.0905349794239,984.9794238683127,962.4526748971193,3178.6995884773664,0.5826139381392993,0.3752888146128674,0.7774193876810035,0.9285075433950856,-0.2814211532810833,0.5262406082065018,9.075836181640623,2.6524073925528513,0.07020397330998393,48.008230452674894,44.0,52.0,0.0 +L59_S1152,32800.0,737433.7195121952,5328372.286585365,1830.4725609756094,1665.0152439024394,1540.158536585366,2745.076219512195,0.22145930159746147,0.6797653714240324,0.7030068319290876,1.6785487756133082,-0.8507309340039217,0.256314163823135,26.4542179107666,7.7109544086383615,0.17524285707622764,57.484756097560975,49.0,82.0,1.0 +L59_S1253,12200.0,736793.1147540985,5328119.590163934,901.0983606557376,990.1065573770493,1154.5655737704915,1151.2377049180327,0.13524340680937785,0.63653493977961,0.7967486547642066,1.0152568289490995,-0.5559291359586794,0.0808239173369299,42.73450088500977,36.84957438609639,0.1818263612565447,198.3360655737705,108.0,283.0,1.0 +L59_S1408,11100.0,739779.2342342342,5327802.297297297,1053.2972972972973,1044.045045045045,1068.162162162162,2561.891891891892,0.42410404443203853,0.4512806473014591,0.4271397614801252,1.055168166353896,0.057167680548118036,0.4232830048144401,26.70834541320801,17.576965289072948,0.07827818249394228,122.86486486486488,97.0,160.0,0.0 +L59_S1457,9300.0,739966.7204301077,5327719.40860215,1223.0,1171.7956989247314,1145.1505376344087,3132.989247311828,0.4382199955883847,0.4436194752493212,0.4123756891937666,1.1799820815363238,0.06142966640203745,0.4548410289390113,26.476903915405273,20.601162777152116,0.07774511480363466,115.91397849462365,93.0,147.0,0.0 +L59_S1483,8800.0,739817.5,5327620.909090909,791.5,982.9659090909092,973.0909090909092,3297.909090909091,0.6135654696686701,0.2721698216416619,0.2338835864581845,0.9158522750843656,0.1806562916873108,0.5403881394727663,17.257606506347653,10.560770305720242,0.09895597233183004,164.61363636363637,155.0,171.0,0.0 +L59_S1568,59600.0,738487.9865771813,5327310.167785235,881.1124161073825,848.6711409395973,949.8607382550335,1810.506711409396,0.33575324494166664,0.5972483303122873,0.8552310023231794,0.8932147647110408,-0.20310985581205546,0.3521592020738445,22.38102531433105,9.166547711863613,0.129398847187888,194.4714765100671,180.0,208.0,0.0 +L59_S1733,241200.0,737916.7205638475,5326506.658374793,1686.8217247097846,1531.8785240464347,1407.2537313432833,2771.842039800995,0.2624584436586519,0.6355122242549166,0.8391336789771692,1.5419846614745518,-0.8545724918539165,0.2970439795540587,38.92791366577149,21.268047851709586,0.13131128847413692,174.99046434494198,65.0,277.0,1.0 +L59_S1743,25900.0,738761.2162162162,5326834.536679537,590.9613899613901,963.3590733590734,899.3861003861003,3726.7799227799233,0.7255857483300463,0.19623146370110825,0.2581256577407071,0.8179021880433366,0.10703386354501067,0.5886402397082119,9.911721229553224,4.251209671893174,0.037936533952282886,171.9189189189189,167.0,178.0,0.0 +L59_S1768,23600.0,738613.4745762711,5326744.194915255,328.75847457627117,569.5805084745763,735.2457627118644,1639.3516949152545,0.6420783499034785,0.20328606990209416,0.4413197702270443,0.5445282492092101,-0.021093114710002758,0.4519845389650535,39.5014877319336,19.733479656405372,0.08358385573314914,158.19491525423732,103.0,183.0,0.0 +L59_S1776,12700.0,737438.1496062992,5326821.535433072,4785.417322834644,4121.125984251969,3573.551181102362,5411.6299212598415,0.0720303427926668,0.8379951318887275,0.5878594048379913,4.160031489499911,-3.0544519620932875,0.14480320551967996,36.60652160644531,29.108715507927844,0.1591536288156988,378.32283464566933,319.0,412.0,1.0 +L59_S1779,20000.0,737551.05,5326791.65,3187.715,2870.025,2521.395,4296.845,0.19745096689090133,0.7122437508404255,0.5221064858883621,2.8597116562724114,-1.7110038037132471,0.2339032968878746,35.95547103881836,28.65908395767212,0.13574011891148985,308.53,264.0,350.0,1.0 +L59_S1832,21800.0,738931.5596330275,5326618.348623853,340.71100917431187,606.3394495412844,748.6651376146788,2281.52752293578,0.7267971725092022,0.19418964324809546,0.4225871859613908,0.5652385319865078,0.0005066477997472013,0.5628345145954998,38.94306564331055,23.59449411914983,0.05879598995243464,129.3302752293578,99.0,168.0,0.0 +L59_S1833,9200.0,739063.8043478259,5326689.565217392,364.7065217391304,631.7608695652174,762.1739130434783,2366.7391304347825,0.7244930422824362,0.15382125125388088,0.4730628521546074,0.5862137675285339,-0.07948144368508467,0.5678737160304318,34.89410400390625,17.709809520970218,0.06779947079232206,116.47826086956522,108.0,136.0,0.0 +L59_S1849,12300.0,737398.7398373984,5326559.552845528,4075.2601626016253,3610.4634146341455,3148.1138211382117,4728.0650406504055,0.09345657083894908,0.8187994562028872,0.5520286312917384,3.6112791357970817,-2.476012624588197,0.15048055090313034,38.27464294433594,29.601547954528307,0.2268401335137404,403.5772357723577,361.0,433.0,1.0 +L59_S1858,16500.0,737496.8181818181,5326530.575757576,4338.666666666667,3834.4545454545455,3345.4727272727278,4837.266666666666,0.06397581479766153,0.8458647941098069,0.5224074441375155,3.8395313205141006,-2.6266653037884016,0.12414901197859735,39.7806396484375,29.274159726229577,0.09083747075249753,348.76969696969695,286.0,391.0,1.0 +L59_S1864,18100.0,739105.773480663,5326553.508287293,862.5193370165746,912.0,945.0276243093924,2685.022099447514,0.5184019265583207,0.3957326531574871,0.6091437287093526,0.9065156516449228,-0.11953180410995055,0.4877300865083769,38.94306564331055,11.041937883058306,0.08545268899169416,147.47513812154696,111.0,156.0,0.0 +L59_S1915,12600.0,737479.6825396825,5326428.1746031735,4469.896825396825,3955.214285714286,3384.873015873016,4802.603174603175,0.0399342170872149,0.877782481530356,0.6676266945543743,3.9366613702168536,-2.9455420280259754,0.09992530374299913,32.429183959960945,25.187636526804123,0.07964448299672869,356.49206349206355,308.0,404.0,1.0 +L59_S1958,8700.0,737482.2413793105,5326344.655172414,4315.850574712644,3794.563218390805,3269.7011494252874,4553.862068965517,0.027408400357797232,0.8877753793508157,0.6479802186461701,3.7933716390324737,-2.7626809375039456,0.09167599737986752,33.74307632446289,27.191003470585265,0.054554458225852455,347.0919540229885,305.0,402.0,1.0 +L75_S581,20300.0,391836.37931034475,3088460.8128078817,461.3743842364532,733.9901477832512,760.7389162561577,2934.093596059113,0.7269108139822635,-0.31270184312841576,0.06882863838725672,0.6520344841069189,0.5744427341252125,0.5980516818943871,36.55705642700195,30.58140104509927,0.036349873393407006,2276.3251231527092,2215.0,2345.0,0.0 +L75_S703,26600.0,390846.24060150376,3088100.526315789,292.0075187969925,486.03759398496237,636.3421052631579,1392.62030075188,0.6314865283499983,-0.13385414338191004,0.32649041661866623,0.4714624060499937,0.3289197557850888,0.4552002593426776,45.19775772094727,33.524050411425144,0.06850166742066692,2579.875939849624,2484.0,2721.0,0.0 +L75_S710,23000.0,391044.3043478261,3088112.086956522,278.9826086956522,469.7217391304348,627.0304347826087,1323.1217391304351,0.6337943814370943,-0.07926254156754231,0.3789156799731047,0.4585782606964526,0.2891451371752697,0.4530943653505781,44.18525695800781,33.61388988494873,0.06329164177827214,2612.4217391304346,2522.0,2693.0,0.0 +L75_S732,36000.0,391485.16666666674,3088062.666666666,334.5,558.675,669.4972222222223,2115.9944444444445,0.7198453178008397,-0.07439784022911529,0.3758242270184888,0.5208907404707538,0.3126527605785264,0.5727170449164178,39.12724685668945,29.137447113460965,0.03319819681346416,2542.733333333333,2464.0,2615.0,0.0 +L75_S957,16700.0,390732.4251497006,3087393.802395209,898.6706586826348,936.365269461078,931.5329341317364,2217.48502994012,0.4104263435402316,0.1995913138763678,0.5917592801733645,0.9221896190129354,0.10275427555082599,0.39096462441061786,51.688392639160156,40.24866931024426,0.2036118886606422,2533.263473053892,2368.0,2711.0,1.0 +L7_S320,278900.0,792236.2585155971,373741.02366439597,389.53065614915744,672.731444962352,784.7307278594478,2338.258157045536,0.712207483426244,0.19421818702023874,0.4926850186342319,0.6156642762466586,-0.3992466338649365,0.5493011577041501,36.19390869140625,12.815732341656425,0.041568286281497134,101.78666188598065,59.0,148.0,0.0 +L7_S334,133400.0,788776.5817091455,373793.5232383808,409.8133433283358,703.0352323838081,809.7218890554723,2521.624437781109,0.7177774356580389,0.19387963205307854,0.4935744658358272,0.6408568218104664,-0.41860553756289215,0.5603805920039339,23.03618049621582,12.968782006130404,0.03152162950301635,70.76461769115444,45.0,107.0,0.0 +L7_S343,203500.0,791245.2014742015,373709.74201474205,403.65995085995087,629.4452088452089,819.9921375921376,350.6683046683046,-0.11403299511772985,0.643381808057464,0.5592969153232012,0.617699099202121,-0.4195329817126365,-0.3213449302882286,12.915779113769533,0.7904938254368101,0.116256822982954,47.002457002457,43.0,53.0,0.0 +L7_S355,103600.0,790161.8725868725,373541.0714285714,425.2953667953668,711.6862934362935,810.8571428571429,2474.6129343629345,0.7046903975912042,0.2059515760096804,0.5128678161089945,0.6492796015555334,-0.4286492306695942,0.5506214809003483,17.323083877563473,7.856840107892012,0.03466548354627428,53.40637065637066,36.0,77.0,0.0 +L7_S818,125700.0,789578.9697692919,372201.07000795536,456.88385043754965,777.9626093874302,882.0668257756563,773.5656324582338,0.05916077299480672,0.5720531211287234,0.4235203014249567,0.7056377620192492,-0.4950377127672816,-0.18703096862035887,8.496716499328612,1.5468055705940713,0.2141073653867132,35.68337311058074,33.0,43.0,0.0 +L7_S819,15100.0,790253.1456953642,372461.49006622523,1360.3576158940398,1374.2384105960264,1342.1523178807947,2256.3509933774835,0.2613300435578093,0.6118681483118741,0.8228686499279856,1.3589161188397187,-1.0950416486389591,0.2467675967117315,7.932170391082764,3.8601274790353335,0.2378200184035775,43.75496688741722,38.0,49.0,1.0 +L7_S1377,159900.0,790640.5347091933,370636.0256410256,368.1976235146967,660.0281425891181,768.202626641651,2432.5572232645404,0.7339417295876408,0.037628063862594915,0.4647818450781612,0.5988094635573382,-0.4173085574890511,0.5692007808554089,34.399581909179695,16.838977254204927,0.044572541119764934,164.51094434021263,92.0,203.0,0.0 +L9_S340,24300.0,784394.8353909466,4176916.152263375,903.0329218106996,961.8683127572017,972.5925925925926,2691.6666666666665,0.4945129387908512,0.05404199083975742,0.5721329045884403,0.9458312755258976,-0.040220741827401166,0.4707194745785906,38.48260116577149,31.21471948191953,0.07672769082671821,1145.201646090535,1056.0,1201.0,0.0 +L9_S556,15800.0,787461.2658227849,4176462.7848101277,512.4177215189874,742.2088607594935,798.5443037974684,2399.462025316456,0.6476136510130726,-0.031466332964946914,0.4789972007274628,0.6843902947781961,0.01043734118055782,0.5269948464782932,16.011066436767578,12.09049188034444,0.03570461407586743,1410.6455696202534,1399.0,1424.0,0.0 +L9_S780,26600.0,784859.3609022556,4175968.270676692,1034.1466165413533,1057.8533834586467,1025.6804511278197,2913.913533834587,0.4753389039209911,0.04491308198355951,0.5772913018787714,1.039226817681377,-0.064216132174225,0.4661929331775895,23.80012512207031,14.053645268418734,0.060722040250561285,1122.8947368421052,1081.0,1146.0,0.0 +L9_S899,29500.0,784417.1016949152,4175717.2711864407,888.4271186440677,941.1389830508476,986.9152542372881,2282.4576271186443,0.43680987873319854,0.024925706320554727,0.5409381954346673,0.9388271176208884,-0.01763639535076159,0.4126330754514468,42.9820442199707,32.73582358279471,0.06581840830839286,867.5491525423729,766.0,961.0,0.0 +L9_S923,43300.0,788823.5681293303,4175602.2517321017,515.473441108545,748.7228637413394,802.4665127020786,2345.889145496536,0.638376274987126,-0.027678766679151826,0.5010630944033968,0.6888876054909158,0.014651163140516572,0.5145578963927253,43.876564025878906,33.18404967680264,0.03849189640098094,1274.9653579676676,1178.0,1369.0,0.0 +L9_S977,18100.0,785300.6906077348,4175530.359116022,946.6961325966852,1009.3756906077347,1052.1381215469614,2258.375690607735,0.4092010850735132,0.0038148498335823147,0.527194505403055,1.002736650777785,0.0006611143028683889,0.3802473611759217,51.69123458862305,38.232658049019655,0.09397897879639383,895.2375690607735,780.0,952.0,0.0 +L9_S1066,19800.0,786111.7171717172,4175289.797979798,656.2929292929292,842.3686868686867,894.8434343434343,2474.717171717172,0.5807342087530126,0.022208859859227856,0.5455125806608585,0.7978350170935044,-0.021557003046377712,0.4910103570331227,34.701358795166016,21.683672139138885,0.06753320053144536,743.7121212121212,687.0,799.0,0.0 +L9_S1089,13900.0,786023.4892086331,4175278.09352518,582.6402877697842,834.9496402877697,872.7697841726617,2785.165467625899,0.6508265111943801,0.0078445051053121,0.5233886319098713,0.763453236586756,-0.010995650680349349,0.5357315021453144,25.478801727294922,17.81703783625321,0.05288169846581898,726.8489208633093,704.0,757.0,0.0 +L9_S1158,16800.0,786665.9523809523,4175088.5714285714,1444.291666666667,1360.1607142857142,1368.2916666666667,2218.2619047619046,0.22155204240144008,0.17377439903655267,0.6415118062425227,1.3909146838954516,-0.26393362791055724,0.24835185709941604,44.96478271484375,30.317132030214587,0.1620039258240944,746.9880952380953,697.0,816.0,1.0 +L9_S1323,33900.0,786631.1651917405,4174672.256637168,532.2654867256637,777.6253687315634,834.4277286135692,2530.539823008849,0.6511016655988047,-0.008889284074046098,0.5070365061626322,0.7147728637256453,-0.008613866874294381,0.5284832271151135,40.08510208129883,32.69185640115653,0.03643506875805623,944.6342182890857,824.0,1018.0,0.0 +L9_S1374,21500.0,786304.7209302327,4174606.255813954,523.246511627907,779.0139534883722,830.7255813953489,2556.218604651163,0.6589780832445898,-0.010448945635458628,0.5021555084128713,0.7109953472780627,-0.010106850121248795,0.531545058516569,38.8668212890625,33.83663928009743,0.022619376331567763,983.6511627906976,914.0,1043.0,0.0 From 376e705ed930682a7bb397fe996aae30d3031343 Mon Sep 17 00:00:00 2001 From: giosans Date: Thu, 19 Nov 2020 15:28:05 +0100 Subject: [PATCH 2/3] Update README.md changes to readme --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 3410418..58f5e9b 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ The landslide_detector is a tool developed to detect landslides from optical remotely sensed images using Object-Based Image Analysis (OBIA) and Machine Learning (Random Forest classifier). -I developed this tool to test the methodology proposed in [my master thesis](https://repository.tudelft.nl/islandora/object/uuid%3A52fe6b3b-ec0b-4cad-b51d-7798830688a4?collection=education) in Geomatics at Delft University of Technology. This implementation can be used to assist landslides experts/non-experts in detecting new landslides events and improve existing inventories. +This tool was developed to test the methodology proposed in [my master thesis](https://repository.tudelft.nl/islandora/object/uuid%3A52fe6b3b-ec0b-4cad-b51d-7798830688a4?collection=education) in Geomatics at Delft University of Technology. This implementation can be used to assist landslides experts/non-experts in detecting new landslides events and improve existing inventories. This project was made in join collaboration [Delft University of Technology](https://www.tudelft.nl/en/) and [Deltares Research Institute](https://www.deltares.nl/en/). @@ -14,7 +14,7 @@ The tool is built using open source software: [Google Earth Engine(GEE)](https:/ - [Pre-processing script](https://github.com/mhscience/landslides_detection/blob/master/pre_processingGEE/pre_processing_thesis_mh.js) developed for Google Earth Engine. The script obtains cloud-free images from optical satellite imagery (Sentinel-2), extracts spectral and topographic features from Sentinel-2 and global Digital Elevation Model (DEM), and computes new landslides diagnostic features at pixel level -- [Image segmentation program](https://github.com/mhscience/landslides_detection/tree/master/segmentation) developed in Python. Image segmentation is the first step towards the application of OBIA. It consists on the subdivision of an image into spatially continuous, disjoint, and relative homogeneous regions that refer to segments. This stage is implemented as a two-step approach: (a) an initial segmentation using a [k-means script](https://github.com/mhscience/landslides_detection/tree/master/segmentation/k_means_segmentation) (developed using [RSGISLib](https://www.rsgislib.org/)); (b) [merging algorithm script](https://github.com/mhscience/landslides_detection/tree/master/segmentation/merging_algorithm) using a region-growing implementation +- [Image segmentation program](https://github.com/mhscience/landslides_detection/tree/master/segmentation) developed in Python. Image segmentation is the first step towards the application of OBIA. It consists on the subdivision of an image into spatially continuous, disjoint, and relative homogeneous regions that refer to segments. This stage is implemented with an initial segmentation using a [k-means script](https://github.com/mhscience/landslides_detection/tree/master/segmentation/k_means_segmentation) (developed using [RSGISLib](https://www.rsgislib.org/)). - [Image classification script](https://github.com/mhscience/landslides_detection/tree/master/model) to detect the landslide segments. Once segments with features statistics are obtained from the Image segmentation step, the image is classified by assigning each segment to a class. The classification is conducted using supervised Machine Learning, specifically the Random Forest algorithm @@ -29,8 +29,6 @@ Master in Geomatics @ Delft University of Technology Contact: mhscience@gmail.com #### Contributors -Dr.ir. Mathias Lemmens @ Delft University of Technology -Dr.ir. Amin Askarinejad @ Delft University of Technology Dr.ir. Faraz Tehrani @ Deltares Research Institute Ir. Giorgio Santinelli @ Deltares Research Institute From 07a43bacc7f554bad1acc413e9081ff2b817b98c Mon Sep 17 00:00:00 2001 From: MH0202 Date: Mon, 21 Dec 2020 15:35:52 +0100 Subject: [PATCH 3/3] Added a blank space --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3410418..53811d9 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,7 @@ # landslide_detector + The landslide_detector is a tool developed to detect landslides from optical remotely sensed images using Object-Based Image Analysis (OBIA) and Machine Learning (Random Forest classifier). I developed this tool to test the methodology proposed in [my master thesis](https://repository.tudelft.nl/islandora/object/uuid%3A52fe6b3b-ec0b-4cad-b51d-7798830688a4?collection=education) in Geomatics at Delft University of Technology. This implementation can be used to assist landslides experts/non-experts in detecting new landslides events and improve existing inventories.