From 5daa3e1220f3544d9c61e4220c0b67b825b51fd0 Mon Sep 17 00:00:00 2001
From: AnikeevAnA <anikeevana@mpei.ru>
Date: Sat, 29 Nov 2025 10:14:12 +0000
Subject: [PATCH] =?UTF-8?q?=D0=97=D0=B0=D0=B3=D1=80=D1=83=D0=B7=D0=B8?=
 =?UTF-8?q?=D0=BB(=D0=B0)=20=D1=84=D0=B0=D0=B9=D0=BB=D1=8B=20=D0=B2=20'lab?=
 =?UTF-8?q?works/LW4'?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 labworks/LW4/1.png        | Bin 0 -> 21171 bytes
 labworks/LW4/IS_LR4.ipynb | 412 ++++++++++++++++++++++++++++++++++++++
 2 files changed, 412 insertions(+)
 create mode 100644 labworks/LW4/1.png
 create mode 100644 labworks/LW4/IS_LR4.ipynb

diff --git a/labworks/LW4/1.png b/labworks/LW4/1.png
new file mode 100644
index 0000000000000000000000000000000000000000..7149ef577b47c917e5feb4034c1b3d80887d66c7
GIT binary patch
literal 21171
zcmbTebzD_lw>G>K1q%>SKvEHD1f`KOknU~;q}g<*N+<}(rldnUr5h9!M7kS9KuWs%
z8=Lz%&vVZEp6~nP`~AFc-FvT?bFMkYxW+ZEvEIqah~i!%y@VhLuDIA!1q3<EjUZ>5
zE?~nqPZXRP;jfEUV(PXCa?K9&-<fekDklWFg@`|Wq~sL)cg)r9`qt6O+Q71*W9Z$B
z7tdY0@b%VP;YV`x*Kbr?%QJ`fGu~hdD=k(o=zptR?WGp3!t^`8TZ7e&LF4k4M)vi0
z^z{D8TFmr`qtnsC7YuC277vdH4em>SVg9>J6EizSE@Mc?UbIsE?r%#}M{AQFiSKO$
z@jCZ{vkFG$WlTK^|Mz}eeg=l=V}%7Hyfg_zr@3B_iy&h3-ed^!LGA)f=~mKJ6oLpp
zzWrY(bmlOteHJDPxO+&)z#v{xQL*1F>yhk!u+2F*&UQuM;BOJBpj-Ka2M?xgDthyE
zg~l8w+_Q3W_?Hi=*MBlq{w-_?3lG2R*O1g6_i%9`JHLO#vW}vK3SXF9?W5);VcWvz
zU(ZU%^Q-TSIVM!vFQ!FDle+It`e}TA{%U<=qr{|#_AVWrB>L<tFIuUOiJr$B38Y-+
zA3avzQ2m&(nXlOy@7d@O$`^FspUW*9S8#A}*xmJgF_$iMlu5*_mRQsws3~+fi60&s
z`UwjMZ!TO_r)#*xZ0q=7WpUKDgERX)A`^ZFY5Q?<G;wkh{XSUexO{vchB)@YfLW)S
zr+WD-4iyK@&7L%AGppDE9oM$c8o7<BkvbZdM-BKw=3);#Hex17zCQo_)#EbpJr2SB
zxli;*97yYzmkbC?{pS}AG~y#=mXS2ds;Y~VepD(Q@dBK#+kde~f+-%VgwjfPcc)5j
z!4JMWQ39@|E?Wz!LdR>tg=);W+f~bziyTg?zetX05WPSvtVEH)60=Ae26lEubg^k4
zBL%O`Q$kuPIRyoUPX|)5Jo4zx{l$F09R?PbKJSZ!21P@9x*Uii$1&?!<YP`wj?~?|
zce64xyF{tnQ`CzLo9FEoswR%|Xy#!7BWbo)CQizmG7iT7w8bpCFAe1DGE3q-e^8I>
zWoYv4Ey0$~?Ck7f#caG{<UMT~@tK(!bV_k?@f78!Wmi;L)%XD65?12Ool(R%0xpmq
zFW?HBKx$*QW1woKmMOjG=COyiaOP#+z`Y41EI$4?@BlI1BeBIwR43(k`uyxYNfJ|j
zwL*T)cJ%)CQuakc+KlAn$LQWFM@#W;&y$0R(;K<(Z-&rpE%ZsEi>;>`)gth|7{JbL
zi*GaR`8!lp;(6jBaJ)N(PJs#O-n@C!<#=!Q#)WgFW0sTkKIrR|>9+6%6D;4!Zj(?@
z6~0$QFlJTDSL-ixI;}o$i+iZb$;oL`p%u+#5nYNJ%YrA6{dL>2dd(NJm%2WQE<T*t
z3!-U;jki5wIRF#2KUgYjF`mAe)*-MH+n=LOxRHP({Fm(yws3&;h(+0aR(4+Z>+_d4
zvvrRo97nDF`tx=3G5b-Y#-${$dR-zlCB?WeOW9?)Viq&kqa{mEGpqL<f(KH;{OfPW
zooC}#3H<~7{WrmKOxvP4_kX>?m)gI0<|$SWD`Kp&kfyu4I~B}n+?nVyaT)u~!cb8<
zjmctvZsCymCG0mE<yJ}Y9{VO1qvi5C`Kn`8jstzFy1AN`HOdyl#U`8XIxh2f1@@*x
z_oqW;ryZ*LlAhq;QVD7e=z7-NEC2QS<4G){=l74h(Ep!q;eYodxy!dbzCM>b*jZ84
z(1>Ox3K*IJzeCG*<q2$<h0%(loPNTD7!&(R!;|BqpDiuyRaX$i>e}|-p-=a;D`Tx<
zRESaC-Q6@k(V_A2lzsXKZh|bDrBa`s1)|4L!3zb}SKNc}_sOX?c|GRr-M(dYpvp9z
zot-B;)(GLEY0C;qE-o%o^?@xj3N9{uCzIc<{*U7;JEU(a)O+duzdF1BeOCY7JANcZ
zjl1t?2ZHs+J#>utuGf{FU%MZ8kfT=ccsABHC{`xjWpgg+{AHqVwQ>m3sRt)8GBNel
zd3v_RaOaDUtc+GDM(TQ0+^d|Uwix{UsBW*#a&sf$M9Z>v&+t9dc?4nc$s{z=aTt1u
zah}oDM})HcNvN^P`4CY`*!|06n%OG3-JgO5vtUCuWl153#*GHH>laAZah~W3948*W
zN_@Y%bNADBxO`RNva4W%EXs0JGA~`E?NY7FmT4f#{p9gV%wFb(TU+m}Iq|PM@lOuG
zN-AXR2_~>+ZS_&G4mXLoZ}JMx*}8Sk?!HsW$8Gq)`uqp+g`Z>>vbqW70$CFoErnB+
zb%t_?&YM1Y#74jO=FxfFK3{LIpJs>qc9v0v3UQbEecyJfGCU`_)W3YN_sV9bL^7mL
zfsED^OQiF|>m=e!q)BfHI3C;I-0Jr!-CGeXbFnif^axIT;kM-dB;Wm2;?Jxj8yfY7
zk_7)lrI@_;T}I}L#TizLN=hkz|NeDZEG#OTai~((*3JzJ3&TEWjTg`?GHf&b>@igM
z5{&qMX3^)*Y_$JvBK!QWIuj)7uCt{G%dL|sRCG|sq;5B8WgS^Xye?_+Gh;T@=dK^Y
zxe^fMa(!4-q4TrpWMoUj!BT!9eIMn%$Jl|=erf|{z%VcF`S<!O1Z*kMUU&1{2jvxR
zhEJJ4>@A*hI{HfJF+u$#qVsj__T6f&9lmDMr$>&JSy@@lBc&Nuwhz)|6Y^fae!Xf|
zHj-Oi%^yh0DKS4kFYnHp(2-tW|2UAGSHYo5AgihI{y(eFF(7z=^(ee=cV_LplFE{5
zpirWOtT0ZC+4N_h<CSq@j^Y)u60~{JWK6BF+_6{Er#>AD#+@wptUGQ*w+@@wimQq>
zxUzd2LufoZKL}k7gNF!DFlRU&?Z2zj!=u!*yRRT?@Q9XfEYl`fmq<NqV*GBlvP7ZA
z%MvlJ?7N#ydh#RJtF-W9{KqKWvu!KQRhmsNy4Nk68LKm9u4b84T~}u&QolajZW^L=
zP=bp4POV<QxKPTwEfCC_(aPm81ivnhH|d3xEZ3No*$(I0&<+_CX@n_hijJvP<(f3u
z>2E#McAQCN&`>IGZf=&hwzjUZ|Ni~EgsiOPW=<dtZ=4KoTs!vSl7nmO@$Gjr|8@a%
zBeTyt<tm!;yCp2=9=sFEs1eOl)|pa-t=T3rBT+C?yyvA!(H*<qhy8BMFMIkjc6fw&
zWCv9k>($;!9H!p9z$Y`Df_rDv9n`6ZZP*p2r3x9F4ZDcH-yn6;NHf>PKU+douM!|K
zf)`=-%VcR<tdPE$beN8WBdo76kF{<vt9D}Hj_49jd7G)SdWmctJNijenZ`@mOYU#e
z2Q6%P&2a^PQHZOg@|fEU<`j<P6sk|Ta;2xf-L9huA<q`^iAj3mXWERuyVZY#h{$xV
zGl^FD9FpERg}-1GxH;recD68Mkb?Bi+!hYZs^?W9X^Ay$v-VU^<o6qV3NztjrphI(
ziGc?{lXYZGULF<E;>9Sp(`5e?@YrgV2^V^v(Y>hJ@wa#w-z|HaGE*TzW?n*C=8_Lq
zjL7(K5l<Yuf<ci4S2pK$LDM&nQ=9UyL_W!Er@5=nB2nn``iX`O`hhlHYWiUKA1O4a
z|JSdx8z$m2M1j0J9A{l$vvZCrDJdC`lv+#<Jak;{^~ELY&C`Bpzcj4elP)_@>wZvd
zHThV)JKtlA2@{X^A*f|19B-z(K(O5E@H|$;L{xR5vtBCS*d99u_U@j|+QgpD+s>??
z8c4DU?q3n4j=UqzdF&-PW~)?j^PcnJnHyDRN(z(82V8i2uYKK)6S;^hW(xh<FO-`d
zqR}Z^RL@cyV>b=J8&S|__s?0*&<~*$#eGDNY(}ygiIqGeBpo#Ajd#!bb}OR8U>l4X
zhOjp?#`I-5-19>(sg%gt+o+snL1#|>36&M>5+T;U?xD@iW!Rk}j=`aL<UENGJN@b=
zay7YY)*8twXCgE=2laz9B_r>-?9ZoH;F1et`M&U8G05CLKMj_uF|QoXohTss7>lrs
zD4gle_j|IpGCFpu8XWU?&6+%OCfuK*MU=-owP{4NsVfdX6_01fov^bNcavRU)nxH~
z?JJ@^QW2(CW^#~p33s_)hQT4`u*7jNHY$#`s*N#NC}XtsdR%{d>fh34(}~8U*wSXO
zE16Pd;rjcWqgqarJ`dhc=?+-@oo^u4aY_QvLDi6jaEN|QOhR7@#*1(*-VrOoix|kL
zZp>HKjmQY>NdxOCnUYJbew7$2o^<u9w6gByJLoWjk{?tYVR6e!O~nQ;Q~B(Qhtpqa
zv(FT3Dl052=gXLYdwxlRzSEqwZ9!f*5Y+P_C1_rz0-X}9a&KTJGI&zq;?=t>rmeVM
z->zLC<<pw)n!J?1O_AB3?iy^`5dUe|zFa{)Q^witQQs~WBg0OwPOV9F<7;Wye>p?}
zKeOBy#u&6Ib%kplre_z|XV+HD!wu~-MnA<5B?&8VJA5N%>n(|s9D;ksic8qjW(GD8
z)jpY1+H(_BFJH%cdSen>Sm~zkZO0Pb8#;BRR5@}!P5BMsIutw_xfVD~o9+E?7J9iv
zsw8C(Tm1!6`vUW1C1n(x19b)X(ik6(WfpBbxWRTMuIs)sJb(uyJYg{*$p%%@GF9+d
zGt~0M`41$JGeze#5_f`uI-4dq7cOVt*`Ll<SbC_Dn_Nh`ch>i3R-Lof&lBtzsYq=L
z#lJtzW);wV$&?g|;R$`uv>#}LcK~Ox5F3(Q%HY6@zQBmcya!bJN+MV{VOcQwZdLC7
z?pE7=N17f*-uu5_P3`p+Xy!+km%>BibJ}k*@ZEW+43=x(Y{$^>QnhN>njX2z;!T!#
z1KjhRT!pBn|ER`6AAzznmd3Vvfw@Y{Nvv~$#KAVlpb%5vZ6h?xVM?E1Tu=B!ZJ><V
zO1H_<NQUjRLM^;w=QGdoj<?QSdp|(c+m4o4V$M{OS1*yscH1{l%@iD2Q3+)2oUVHN
zK-<B-*tPeQnGx<%eCpp#gSfubT)s5kmoLsSdl|w^isf*AW|e?1e%U9OJLm#YMI=9G
zBAt+5JBd;htvvQHCCkXc_}20-)KYJr0~@Mo(;#*5%F(RQN!Q2wM%DojyoexS<#=Kr
z`5uovx2yJ3AIvP{Cz%|W_lmnZb!0>TuL`D<7QKtoQclktveq9wDSNQ9h)$}7S;fWY
zaJ3Vj%&u&RtbgG{j0G=nd%YXw6s*}1dFMaIxqs-TnHsL+UR|U#6Hh4AGqd=$F~p$n
z18NCklpShko3G3@qPCAWPEr)nV5!HwD%v;hrDDO<RXHYF>@Yx(JEZJVzoZx^zOOQC
z7dOVK7<I3z8@=>X#*wk%<v<kgyu^`j5i8P3y2g6v>K(Y#(Lv9VM%lqz{@TRxgLS!@
zJ@17<izIgD$gQOmJQEq*`F<IJqMopXKHBlSSi+BQjUw_2Q<vx3I{Y_}ORrflFb;U`
zL{K=6#1CbXo-F0@<%_z;Ma4DVr9s|O!|-nF-pUY2RUTGQ%45M99kxx;fTeaEU9#;C
z<t%n}b>GR6S?FWXuDHoyokN6ZP}SqE;%-yr_8*K$6r*<JkM!G6>dbu0OZ~7>Nqh1`
zvEw5$E$wAg^U2$PBEr=KD6c6VIh9<|2=^r7f#uw?+Ixes<4J)4`4*z$vZ(NRrNM9(
zHt{kG)i1Im&uQWMoVpZwy+zq|-96b3T)X36dLGz|uLP0y(P^d|rT&z7d&bM~oz)wa
zHmVB?TPKvAx)WnbZ8)QWDE39yiEjG|-as}igyq~Mc5cuM5{;rFr2wI!Pmu$h<QGP{
zzUNK6=Xui5K9>mAB%N^;v0}WyZOn;RX~yBW7wNJS@MPFErE+}7WhP~Q|8mvhZyk#8
zh*o|Hq!Uem`ml-@ro70?RBAT4kiU>Clr5==%g>@XpgX8d(Sw%G!b7fFc$3l4G_Y-c
z-EP<)@O9sxrE6Mt_$gsOCpxj5m4LsPb|tdm+odx|!Q=8r^{e}DG`5{XR8RsbsWJYf
zQi6Mf!Ps-IM-MkfZz5t=-ekqbl%B#=EBwhfH1WC0-5(C2l+#+0bn%3=g~-F2XhM-r
ziPd}ojTHCr?!c45#4;`_rByT8%cUAA?6%!oivh02P91orPZG~~srY&Bb?IFX@0%MR
z5bWvh@V~y_CqOTbag8rJ@G#Hq-crmbgQ~V(zB9-l>d{2?jr}(+8%5MLpB?hYkABP5
ztk{d$&y`BL&S$;SCK1I#F5H2GE@9&y87YRK_M0kQBI9UG>VMr^pcqW03M9K*6=&3q
zAPbnI7_zrb_WtMztTq}_<Zb#6>~yqrYU{h0S(Q1g@40Cd8bmsaoJFEJ>v5xfjzqKV
zXLJR@H%7ZGdRockp(=N;*teMKE4)O!B7Ci|6vLJGI8Kh@T+H_(xB5?PcIPV%tyE_S
zO%a5Edi2ZngJ6}#{n`G7o|>1F_9~Lb*vnL&vmDqLun-y2No;H7CEU3()+5!EV>{29
zE!8V?IaQ6DDou8OoX#S#r1iMJ4P{NjQM(6x7Nf*`nxTKBx;y;h@?u0|U)aC^p2B03
zQg%Lad3hu#a5OFh9xe=nfGSt~YopmxvYY$PAlC>cvF{hT9K4W@u6s5v%vOD`Eh=R%
zv@X|jwv4^t0U}I&XY|$r|FPHc%8~Z|k!Pv*z!A)1p@%n4z2XdVU$p!Ypqocy8w<2G
z+w&gah0!TWM(BtMmsf>1>8~Jf3F~o__1fAMw2ub*w))5HtnsxyUpQ8fA4Z=+e*4K%
z#1>Xqx+hgwQn+522zxPR*YvXHWs%L^MdYfdH(6}4yJ$A2X}g4Szs_qLTJ^2zZ;vVy
zjc`Jlu#jRy_&sdNkI}CA4pT#Zm80>e0ZY=f>wazDvVi3q{Y7(V0!EUu8nC)3q%|Zv
zRoBLDh9GTNli1SR;A^xGHbuAkYup#l^VK}b62EZ<>AX6LJpqUzy(_pj`{*U-q&>u)
z8fB|jHp4an+(@GH?a^OkxSn$q6q)Njx)VZq`5uRHJyJOr5U;5_qrbc<ou)RdK1aFf
z)EWjIMKr?|t@KoiE(>pLefzoOvQQHTgwixk+b)VKl<6$;E5`Z{HtsIgqoZRX&CSg$
zxzEjQV)8G(TK(}pixgk*ChMKTKgap2_OY_l;iUbFRFzy1jm-KPL<74Xw?3=dV=HRS
zaChsY2k(AExDkOlWYs`;qEqgK>jdt3uK4JltYsbVPky;at8xzc(tLYVIGnQXnc#k&
z1S3B>1*dKz_&FA0TyTLqSIaq2miWl}CC^~%N%Jl3QKpe;SU?_U?--T5iJF%BmUCpV
z4W6eMGi`6WKCEv!S&1&X$OUApaJfk;V63@UcVq5~#|_gif-{KGB0!L?7cS*d+?Me`
zZ-&Rl=G=bbYYfZ|-KfX%Xa(O!D|<K^oea6*m`w`{&~?0%g2r<P8-gERh?%t0u+%u0
zV>p$ooN2x>-vfxV6BC8mjoN#GIqe0CA&^o)0|%ed-0omD!BYoAI2pFbW&-iB7-baS
z_4|8({cN0LW5s&Jk}lb{$wZf_csDC6kG6%j17^){xk%x1+x}_o3S&^@a9%gqn(q;n
z<zMsGx)=GUBVl50o62qVRr|vge(8^FkM{QVNI6Zz@+$sBTk?;*(T~@zk>q9_z9o(c
z1)0PNFHnyV<Y|<Nqoi|<POf&93gia(`9&JJr1$l_Rq}Pl<^*TsUGw5ymw9v5i=Mr~
z!S4^Ecvx)Ed`;VN%)ZH;D!A!Ra1)`&l0(&9aUd~(nUD|)tZzEpANXSk*s*d}H$fa-
z*c0cnM*Jk&BA2dv^dOf0AHpJOV2vPKP}GLMr(RlI{2g$|g++@KNuhCZxj-jzRCWM8
zs-&QhjNu7=U;J3vSyZjt@4Lt<+4g^M2<h8T$VFegcp(+!%J|xs!z@l3EwU8ni(1jn
zbR2itAlor(kJe8hBsgW6gf{sElgDNu*{8J}NshNI())f%VE5OXePDM^pE6`jm3x0;
zwt#h&*%`H!1=cn}Q2YG(^QY_!@K~4y?e6LMq><1utN7wY(z76PhN>FpK>euI)+W9M
z0cvp#yQ96ImJ^NB{xUkY%eK@>9czygru=l8M057FFln^ZWo~tKb)f$k@7>EQt1T~A
z<K^WIT($*%a;|bQuLsgETXBUtk0T{@^-SHv-^B1`l|cy?`QvFjz8O0{vYfJ!rTYgn
zK{ExijrDz1n`?P;r$*cUqnWKNk=_L5E~9kHO&oSE?!I+MxWgM^g5^(v=ZB3)o-xxB
z={Iox%_A1wTCFF3coudEuo~EB8V!rY(N`MYY8S8!Mo^b6yR&e#{~5lm&1w6$Oezl?
z#NdOiLZwHKUeQWNr#yOtZL<37YxG0MJRr_EVIPWje|tw59ut#2RAeNHZVaNx=C%DZ
z_qV76PdB0xHW7!z-$AP%kKA|aYSkY-`DwY*?XJ4XSw)T@dhNYd>>h_s6nu7K?1rs!
z^70|rS4a|5B_n-tZmx{iRE<YP13#@v6d(d+i?Z#dk#sx?KI6ZG1unl{;k51(M3+pQ
z7zF_2yU3#J9AT~!fbm;bUDNRC<N55f(q!U>=XO+b)Z|y}6%^1ITZ>{hYD_AOSX!ZS
zPo+~qMbfxG6jGevt*JRZkt$8L&TEeS$`i+$LWaZrNvdt`0#XF|9bgsebv&_dF*%c3
zcQfrUC&G0EYB3?yqckL*w=zU0_8+6e%*(P=W$Y4Wun=Ke(Q<LN{F5DFC+EFf;%L<i
z2ts>%l;(qQXXlZnc?1nEAB!S@JX+Ori0~l+>e`RolhH)9e<w{+a1hmV8%_lI_{J*q
zmf*0pT0Ux!RUD#j{QB^BLj_<gqaW5wzy4VLOJ5xQojOeoL5fYiW6pifPEk-E_oA8a
zAZ(W}jLW1)kX+(P+B3|@2C`0j-L-)o8F+}W*`soC#8aIh+HkTgGM*v8XYUgnM>d(}
zGh&@VUG1i`!%WC@213QH(PFEzy3L7Io0IA*|NiQ^C}YjO(*OZH@1*o7EvQUEI7&P3
z3g}>Rrt02`h2C8R;h^%4Az~!qDE{?E8=WHWUN|H5d)pF9S@qHZTbo%FlQR#StopGL
zFFrVK;beT`E(RGvveh^Wysz=I3*0Q7I3tpFi8;^EcKG@h2$JDv)pJ(*U^abnhRV~g
zDg{Ay`Rb)FD=y(0doHQRJZ#$h{q7rr9OA>5?2dcHlQYe;_Ur}MV6EujtBry1q^cBD
z`RA&?T*v!xvaTCn=`9^kwrc);&DLXFL|7m0`NNjV<A%<1<VgQF2^dB#<}3Gn&wJve
zT~(iQRIsmMA)O>}wKWlIXQw^i0GE$y7h(RGwcGV92{jnDAd2hZ?3o5=bb7Kd@LU5Y
zuEOZefXVcj)3t(Q&#N8ug{-a@%Ns?Xo=yc{?amaL-4!>oH)$b!cLv$T_Kq=J7FI7|
z<o6Ko#>a8EUjZ91TBu%{-EpE$2%lBAi6#m`+&(E@;)Y^KR~A-N!DbP)c(*cEm6iA<
zAoJhyjGlY*=xEuoP7#I5Q&3ba(HAw&`{cS@A=<&eA=P`?ylp#7rJ3z<%T!&Q5$Znd
zpsNIaF$XJkx|fNVJD=bS(D*eF=uDJZ>Ixif_Q<p3l^pEbU4FAZ5``Hvi|DsWL#Wrd
ztT)ryFO>}ZG%WHN*jbs-)hsoCXKI}r^@7C3zClpDJ5>sO5fKg*AxB}%mQsLJ@K}iC
z%Fo#ikyLuI>@q5qf{{Dom6OTKw5nh-Ed<u(^F8Uo<E|?;*o(SuYa(&(+e7jUm%1Nn
z;!B`qI!r$mRT_N6EF_DlLdwI|kN2No%5%VGUB808wcf&N24xjYK}E;&XiKekkdbAG
zq*9VmC_At@9C-f1r*41#_%r2o)}0(#)@=1_n)ajx8n%8+!UW%mljAb*<u?OJH7SCH
z5&^Z{6_4CmG{9J5F*89zMM%nv2H#AetA|Sx`v+#x`(Jr0XjRU_unE_qVtQnSwEgg@
zP@j+Ix<2t8*%{^p`L^NwY-r&x$49(=JS9gtEDfg$-|Bo`(=^ouBTiOOGAqm5Zf#@r
zB_uk7yj2Qim8{twHk+K`o^VsN7%9cA!#j6Yqt>kgFvuqjEi(fW-|;~wVFhC%E5H^}
zw0<#AUlYHiO&i5wqENFkwB#@Y)judeyhGXNcK&3=^NH+O33-XJ$6_gIJZ`A@pnHKF
zb3a^b`uX$s8*U;U9pcJjqY|;3_nNrPVNs7&zd1@SjaIM|*(a)u#VO1>(D9!|tRBcL
zsI30{DUqvHp-|<x5;3rtyHlfkvOgftki)rt{xzQxLA1@}KqNqR%vwpoM%r2&FoUN9
zfkolv%Ty@lrlZl<Dzxs|{~Zjmvc2RGsnWcNuYF8rr;*m&2T$gKh#S)`OWA00fqv7%
zkB~bO;^JL?R2~^nwvm96a4!{91L1j^n(qy7Smdb0TVeqqgiUS^#hJ2km+TysY;&#{
ze#+qW_4Q5IzVm>9-irk0Hil$%-mSeoHXNme*|w_RCL2*@EvC3j{RR4>OXD?~=-yHb
z&849tx=Jqkp6&nA0`!$UxLY!10gSU$-Z@Bvn10{qHcD_W6+GV6kF##PS^4YrWe)wu
zE8$^bb3;Z6$`iHj`tthO1tz*tG@1G?g{QmCMg(>nRHl{EWs;(@sGNSCd1+|40M*|C
zV3juq>W(=V&X>|II#Pwx#6^Xg+F+iO7VNW|9L91^75Ys<8kKe?N|#M@83jBj@~#9{
z%tyxjv%;98c;oFC`{x0rpuQcz_LT*wCm|!#|KawNV#Bs*LX_v`ocx&6RNz8yW+<lK
zwf#5qu4F{4`A}P9ozNJS&N6TU?@o<E<T`5HZ9`f*hD+LU+&LZM^lkCs!j}P!fn@2H
zo(Ch745ZPfYrnrU($jagMzNQm#`vHPt@}wdxc}=L9I~<T#Vyn6A0hCNBXz)JEygO9
zWd*jvY;0}sxJ>*p-U@0!r`T2+{?MD`f{iPq0{dJ55Onl|m;RWIaYr<0ZazJsKbF_l
zu1A{N<ZyQl%ATPvJIfSZF&$CtqKau!UDM5>cf~O<cid?Tw=F?P7htpKo2A)~g#7Mq
z1^3mjIE5oi=rA_+kQIhpG|g7W6#6=Xq$f8|{wZjp?4ded#Tj!Lv2dABjkN1iR-Ffg
zRm6oF&47aD)5At6yP6H;^=;1gG%UhS!W6puvQ@b&JIwNH(%@k&G?H2N)*WxL+Rt@9
zf@*%}QrX14n6~~oLCRoJ%3!*~;Ux!2w3}dpo1pGD`vkGEHJLx<IAfgXlvobY-bD$H
z^ll>#ihtuzy}ntopn++tBKHFaZTmiDbPCnsFB}O8iEdCUxG8*nhK7G%zi=)rE>7Fh
z-NB)>)O@IWPVk|_-%b!c<iem-BqNx+N-ak08gRLP0Pp{&H7anK-F4d>a+K_^`!8D}
zp!^-Dv^0?d?&`NYUZn+^nQ@{<UGk@3u!sD`IfMQ8Ke}dj6Fb(P<WJohcF)VoGF>kP
zAJNy>H_7(AKn-waLz#DzBpZoRQxL@#RGz`boBaCnYPifYfzo4la>_RbJT+uCw=k1u
zVr7+u`Y+UTU6d9#_S_hmnR~&C8zS4H^;SYmomK1T#P{cSMCn;7<_}7r(Tx~A^%ZQw
zaSx($p`a>QupJAJOnW=0vYMXYp^=%HWb}FW$b$tGEr61@N=+8NMg4DZxhGSRZfI%S
zB{C8AN^Wv8HRLe7<U!a6JpZj6<xz1*U^@-Vk4Bs*p!XgNmr>|7dFB(mf7Ph}l?{jm
z^-Wv#l$fasZ1pNm4geT;*&Z@lw9qe5izY{r{~I=&jh0)Z9~&7)u<GVzDyDN)c0lbv
z9h1d<ea^;z{u{BbTarv1A1A4~hCk;+$-Ck;Hp#BE7ZI=ijOIzhfjn(_&yClw&q_yg
zh`+(c?f&)k4X5L>ma>Y9?@D|$k99Jb4CqeG#k;o#bn~02JhdPa6rn2TY2Ei`B3)pU
z$B<`4X9t$_+>4F>z5%F+N0~q<i6^=-m?|HTyh-Exn~aQ%-Ck#~itXmRS8q*W3L+hy
zVhTDs@fZ`wWUG9OIYnUr(_<`a)ypP4s?>!ZE13@xMmtQtj;Hv?+jaC>-4Rzzml0Tg
znQ?<jg+q<oZcYxP_qm_P=yCW;A77Baim3x+O23puEcVaG#@<nGS{_*$e|3@l3=GMe
zEVK`ow%u;%Wyyo3vtWh(R{Dh}=6ture_EA{R@DGFl96E?HJ_-}#^8BOa=J<rd9v5x
zxe2~hq@=w6`I4$A4FunS6)b`?h?o)tlyD~1EZsT}Q0@e8LY&XW2v0V_ZBXtoeC4Ud
zdYQzV>T8=0HZKntqGBrOq20;RPWI=|pU2;9+^gOF?OhqbKpCXs+|VMx_uwN5sI4&3
z10)v^_IJo~Rt5_`fze@N^4d<YgJ0xG$%|Hqh+S8$%bS1v=zN8RLz)BkuYpJO2@aCy
z9;fXy*`M+SVHODtkLqYnwDM?sL|I9RCg6MWbGD3~2~S-RB=ta61fiim>oPZ?U%Vm4
z$<qYAZD@OgFPNcI<H7)jbK}O11pqz1_*8k20jk29I5L|`slDt=!r8?T^_XDtfrq-5
z^0yVwX0M{`Jf!1YY0@!D^72U->6B5d^)u!LNi}61Pp7?+y(Os}2wC5*S(mGqn1;6t
zow#9&e%e(Ifg;km^~az3CSPI`Vj))r2p}=r{T<K;kYEh<@&4gPhrYaG_UEc%33OO|
zEKPuq2{D4ajeyY}A05~)=9Zbx{0v_hDa*&CXAqs$Tz8fOMcglD*AsrA;a%big|y*T
z0U({i!a@%F1*Mvk<AdQ^_o}?g1xAc$M$yBg7V|9BdOv=sWxfY;CL=aLp7Qn*ghmdF
z{n8jJ!~<kR*|5+W6*e!67bKi0J>}5Tmq}<<0cYv)&RcC@L}9*UD7kc*IF1+f=eCwc
zRH0J&jKfUQn9PAH{F}uuU^FxV$4Eok9zev>4P)oDnHCe+9@MY=?au@XI6ZmY`t{u>
z`l#2~Mj)7Zn+7w41T%XCRVA&e>s|uG*Mo(SQy_@uDAFV%G(3x3m4=55k5q`rzL@X8
zG{H7BZkeM3vWshyq4jN;Fwt_aO3I;18^lq=7t4;ucWQ~l>#s$vl}O5Ck~|Dd{B5F8
zev=y&>+kR13+N+|jC;9!1S<3A&%VmI5t$*uR5Ll#j*+n>XNgbJl3d}cd>^_2y!Pab
z0p)KTL|6%fk?MUe&#XC-=IprC0M31(<S$`oX~|0ug|%n=(*SYY-oRuaT7pyQf9~$=
zTtO=vPad9pO?z_oJ7}(4t;%k~t|qcBzklUZ*E`Cc<+1Ei3+G$fib_t0@ViSf_vx%;
zL-PY-0egeS4gOS4qb0+_?92y*ZzY1DW}#b>HBda{-8U*8F2niX<3p#@(=)Xx&#aO(
zZSch<6>uq5Pz)AuYoD~D7ZTD{)p35g$t1=0eWt0A$zE#eCgjaeHA5TP08ZQ$$B<M)
z9@Xg3P<<68>W5m^%%g)A=^T~};3%GcD_fL`=3szjCp`%67ehmx;1tTe%M_nXgH65v
zJAf6mi>a-xt<P|-4}h#LP{aD&TtdR%5U95qB+CQ8kR(3&2LyG>8X6i-drv2^=~NV4
z)w3F#LSq4T`_THt<m>ul1e4dYH8jpUmdK(xs_8K9?G_O=WmhG@9gt?-Kimhz8;QY0
z4_B%cb@F%4xjsfaP~@R$+_Tv`&H*t;M2*K?cR0hk^_^H(3=J?UX>F>h1!QPG#5$cA
zAeBM<QH;@yYMf3SDlqZSB|%kH2<Jea;{z6TOWbABhuH4xdE&Xf*@OX%APv@8q~^=h
z^_j2!t2PdNW!+%5m+3f<9*?#Dg8U@{{QVtqP-rQNi;LT3OR|9hgwUk25%M6&eM0MU
z0Fob;>p*V@`cJT@)O&S@HsakN@eGe^vpY*yxEor7PPu=?_s@bd{kCF<Xq2m2CIh~|
z4+y?gN&y!!GzQbfLE<RS$`;Z)hTZN2J5-PEH{JCF`+oJU<%q0})du_)!zr7VcTT1W
z7Edq>=K#~P@6XfD24pIU-rt=6WZTY5XDV`+(NTI1m5Ea4j{_I1_Ks(ioZm@qswsHj
zXE;-MNXTt*K9|i5jOvO-qgV_Gp|>s}@4ie4Z9n}j1$7)q%EinHf-5TK(@wn~MuL}`
zn#u@TO7MrEjoVt(J>etbr1kz?s9*Go5M$hNZ#zbrwJVh{>xIFTIs@slR2aYvc*Wn;
z`kjFp<nlwNFH!ekT6cf5W6~sts+zAZRb!MM$GD_fu6zY!&pyMXB4APw;R{fp0b7DJ
zycz|tAEPp`YrY%#w50s0P5A?kmHzKFe9@R>;~mRys}0cowE#Q<8-P%(3f6}4wiRQj
zqj_0Rf04k8lXA|+t++jK@2i?HvF4VR9$<-!-S*a3bAQ#i?)1MUxRb1-Ma^(nErt&J
z`W)C1J;r3KBBwPyOs=@@QiHKg3~v6OmFGQmnFLMK2rR`_O~7)Vdo8+lQ-RzI@7des
zBqaQGJoa8%K+we(I<#V5lq9K=%%%|s@x?!*&2834QF<O)x5e@*YL=n;KrpgdR(B+g
z5%cP+Yd$uax*#pxm1*IB8jc157h!g|cqpxpt}HOk9(B4nc;s)zU%dOqc15|bovBYS
z{63iZH-*rKz@{nr7%q#TCF7ExlU5m(m3*{5chRJ}a?gx^1frLu?p;EJnMF7fcOkHa
zwAh<>i{=kx<4`&YTZ~YWi9RrDkDXJFyal#)g*BZnVN)v=K@u-UABsP8+qHshqh!1i
z6E^`KU#KfpE5DI(KeYsZHFOSG{DOW!*?QmoNg_f9YjfgM7h>~no`#a&0lOE!7qD55
z^Fz+e#LKJx#P>>9G^bf~@kFvnfI)#82WqsOMAgZ3p>gQ1K>aQatb5z$>AK&ze%%=G
zwniB$ZhvPbA0yHOAV)W93HT19Nri<YN|%t;0lg8Lqg?ahX;fT`qC~+-pBNO=jMt}|
zG4Vd$>Gws*h#{FdDL*)O_KddcQVEP8LPqFllSjqXrj#NFqAFU-5?1kIN3X0VEJ}&l
zKz~f+Pty`pQ2T;Bb<27O0@nd1oE-f%5(*HFO3ztFWj^m@JN4oTnLBqQ!@}sVUZ8*Y
zuxfn&?_YC^p~BQIca>a?RHJz3XJlOF#@((?{FKi8@ff)qi#XH=;SZg<^VCAnPF+)*
zSb-$EP=P|;v!j2`$^Dt#f3gM@_n>Jfx*I4UYXpwA@;&>2;n@Oj%*f5H3Wk}3(TM|h
ze`0_)L<7RoN)Sq8&<g_-Q?~g3)B$eA4-rcH`1ow;SdLqS8pzvsIk2b~ve2#!ksetl
z5Rm<MCObPTE4td^+vFdRcX!(lXs2Vcp~ZoG{Dd2D<sJ;If;5+7PwoHC7;sC$UaK%H
z43G@Iz<_`4#7BpvfWylIAhWd{CFovx>C&b8{4rD+&<Gr+z4WQ+>D(3lX{-OvXkM0$
zG%Tj)GK3izuksq1N!9rZ5mVb%3*M>x??sIPZD$jIh{H!a6Zv%UPLB!cWO`v+)h~8H
zU1rSl<cNTxWzxzR(kY;KoOd0T0WSh8Zw9$KZs|&2b|j>xYL;W5($8IAx4|G6aPnrK
zgL~$~dgjePkE6<({ze`wHf^7OUHF5#xzmKAdl#S4UvJOxt^R+;u>{4H92iA^t|q73
z?ke^ols2*<Yk%g#gW1ENn<9k(fsId@Q(-%sRamGHN+%mZBMlmLXds9Np*uw6zB0=R
zmjfdMZ_4*Ob&D|ppOgiiv66};jb=)Zd~?qrUo!o9MyIEzF+#JS9Ub{)9w3yav)A0-
zU7Lbr`F0yHbRr@mq-@W<BJOFEQW{jd?x56jS$2pPKzKE9VT8xLP$SCa3<QG!o>8f&
z2O^l12MSrNfTE8McFaIXjxj2bUdM+r>cIj9>iD8-ornEEyc^r=+SqdZDJlJ$steYs
zSuX-y$AEue1MR^nXJlnbH2C31_RRMdoAjJ|$>c_&CGfdl?DJzeFqWBU4|#wZGtn6A
zrOKt!kz$JxE&%ZvvI&9`($au#S;pJZomhwKBW3q7Hl^Vg>hU(AVNxzZ&^=jQ^09<0
zUf^=xnyospu1;_%ExRs}LbV_vwr$`D1XEvMlU80*i(xOSU_Ors^8+@9NH4ci(lOfu
zegXys#S{((Q=hy3TdqN3=vb*}pi8yjFiQ8$u4e-iK!j#xWbn+qzSh>2)u}}iKWsDx
zV(mfy;dyTiCl)Q_=~0Xq$+m!f{d5SsZ#Bx*LADN$?vs7Fw=HeiYlsHK0QL93;(Nf2
zUy$%w{qhn7IXTQjH#uu_x1lB7nh6ktH6%_ZBc;cOVk+6n;2hGHt5yU-`^pHTdo8h2
zVAa$3;*?O=2!2~Hed}r`pv*q#B>_^aF)Ph`5<m<Ah$`u--6;Xx$v)Lb0VDS;kknqG
z$g}JjWHS#_$w#rF05SUXFcaD>be9GT?huvGkOvFd{YkqwjhPngfl)9I%o7I&*PepM
zN*L3(Kt(>48D}&3KB%<{R<WAHxwXxGXDl5fk=Jj0A4224;yRJd9R!i*6i&A$DWz9B
zESyh|Yf*p*Bndz>N4@A&-oH}4A;Y{VPJbHvi0)$&K_?R%0K-qv807UW=i}3&8Q}_=
zW-5-;T)6*E^5WgmcJiCLY#fO^bu}&1n8JVnwM)A+G>O#R{}mPy5wGy*T?(qZ)wZha
z6g*?r2XjMG{v?v7oxaJ=lqd^rywlCL^_G70a86W60Z0{nWyyM8rR5Nsp<JzYEaa9>
zH2)vpHLeib0q;K%3m^YUFEoOI=B=zs?c{isKXyAj<|{@Q|2wrgGWB(d<8h)1o~l!Q
z%aY<vTVT(tSLa4ac;!?85<>1>)@2As`pAxvFyyXFpo5g|o6sW2+SBrPA=0ibn806Q
zPYJW99{u*?c(_G@Q;_!BdE{371@8O5r7o3}nmt?&15kVV`Lg%&y~RF;w$sUL!x8Jv
zd3QhwU{G~RbXHzP>CqHP)AuSlAO2&8kIUZ?=-%4&{yiSoEsbGN`+ckk@0itH(vGm<
zy%QY+d3r2$z4ZHO!xS;}$E)Os*Dj3XZP_*|bKBx00er@c>+Jy5CGH>^jVoX|Yt3YL
zU=Q)8lK*2O@EPlPSW*EU_BZi6JY>Rz>icp_4~bCS&Tpw;GmDhJdj*=~ukJ)G1-xm{
zEakQeXDkn|arxd>XCA!_`;eairI)xo|II?NoCdS4;NurXS28Ex0BEK-{rF2*J&>lk
z9g|Xiqe!T|FE@2r42>7=`p?$zvm(T@H$vUxFM4yj4EwMQ&)f1k-~WmmPWy;~fVudS
zwAjNX)?(-^vjj(I==zO02bLkOVt$Na>~uNZVL3m{!#8Ul7D15mT!qpZ$>)*BvUitT
zKLXVL9fY}!EPW|^KCGH`Q@Z7qbFY)ELJeN(z|p@0;n(Bm#yPmqDdx3%XY|{bAT*=6
z0vcM8U=ExCR_y;5#tEugQj`@)g<=M#ODQTU3X1*TE|zh>@sYwpyiBC<xdVt<RiMy|
zDU|}roauRTjLGQmDESBHwwY9NIynclJ^@uMnys3z0@M;1c`EdpeXm%blC-52M?WyN
zyodvPO&=r_>_$OpQc=mxp>)~cQeA$(qk{yT!}Iv?Ss7&dCwXM3@<&+MSLE__YBo1}
zWSK~=nC`95Smzz?9+qJFFRAp5Tt<Ym^%v6f2NwH)F6Pwx_I8yoyDy92&NE{O4$^$j
zl$FDQdWGMJvme~~lkM)55O|6_wb4<QIv^l`r1i8Fp{S^+1ej4;iYe#|Qk`v&TRfkV
zzww{W3iR~G9{iChTyN~7=+HfgB|DEL?}<;o$X*l3^56SeLdbz3v(3U#6=q$@A{qsH
zKHzW3#tflF1`wReo2`}zme7_Ne;4UTPqG5JG}g9lQines6J;o?sTn(5%su;WD)_&o
z2xg|`%|Cyl+YA*k+WIZf*8gm7=AEqdJe;E1f_2itq%ZBj-A$pm-S_PvetYXyjV-U<
zn%>-;lQEy)*xOt{>w8A2zQ4(mK1S5HBb?Czh>DcgCgra~w|)*Zi2RG}RdLU&TJOG|
z=1T_cen4wsmYWn<2^t?99N9R&t?~l_D4<{}>zjXKEKNHTAJMttr}r?V_Y6I+f&QLm
z)*bnkf*B>%DWlM<6b1VapZ?Q>@*kzad}J!XC=Qcu8eCEiF^pzpw8B;ylnk&5B+;}o
zu^FSIS{M-rdecwn@DY^!I{_!=A0D~^6DE#^Vr6)AwCQk%e0q1sEpT_O1}^0{fgpgQ
zf67gE!;Fj!G1xJk(398j=Dp*}ILqPyD)YES_m~<GGBEvqTS4r$f277BcCInk$d3!p
znVsCTXk!64r1Ep~e^8sft~EgX4-(s5!t3*{9sa0#2|*NB!z$=)`-7<NIk?JHLxbkq
zi}liBeFDG#FyE6rgFL^4`P5#G=^aF*z|j>}vU7`LXd9_V|N6kCaT)QtxqB|C@JKm{
zohueZW?#s?W9ZE^50LMm;r?eR{#Jx9F^(5&{Xy&L*f3wrl&}{*L>sdph~Y0no}WQZ
zkM%9CG)zB+pp$xmTRy@NKb7=J3f!z!7;g4_X+XvzR5};TwjXnLQ@os%*%^clE8&ZL
zBcVV13(EgLp@S1aYza`w%+I|aWBdeSdli*zZsbhgs|G6Me_bm!tWxt!#SPG7u*0vd
zx~{BFejMo)K2V&KfOB(3srDB>5B+<jA|S~jybxGYKzIKSToH3lMm^yL)>*@p)1o*=
zc;FANl1BWVpEPLDLbEYgi+c2FNV)@ubr!og5$Ze+^5r@#OV+0EGeVd&6HIzik;fkr
zy$4n20BQ-;OJ85g!{x>!vpA1@VRpMDDqlFJau8m67I{u2=<^A>WN_&PAF?)_I?@_g
zpXqE|?kn`z$QOP%xGU`lC5|3z#JKN|5Pw8K-zABL9+`haF^ol?&G<iz(&>oZUdfdg
zsAIsImpWYUdWL{)=u==czHq=m*Kv3u&Uy{O4@x_+WbM#>`<xQSXfbH3gvLZIgb-FL
zL)1@6yr~^-it)!!<;Mv9ZM)<CiHi`Gk}Ea8F123515dkqJ&4-#!x;!)AHj`_=u+l@
zw())$xcRi(a3WcH+h0JO##@+)Wl)%f&fEMGRWM5%giHUY5RNp2BSTmZz4e9xfU0Az
z7%X%h#e*5AGo1JPU|8{;b2~8Ee_&}P7TSl!6#V0=ARw|`o}`s{?Mt9jx_(s%Ht&=2
zch{!OY+s_GtiT3wOJX6eqTmBCD5nQ5_>mD_h9?*fGZIha8dWp+Q6Gib^Kcrvl92lw
z=o4CDcIe6$h1g<PFReD}(boT^EO}CYnKeT-Uk7THDj;wIDH)na*~RVaFgtf!auQTP
z_0l|vSaqt^Kyek#YnukiOFA&PW}9<ee9->+X~YxCAeDcj%{Ge?j-(**8z{G)f@GZs
zdL<d!!v~13*uZ}D`txPe3M6;r(vVR=TB8DJee)ZkEOaBA93SolqE4VOWFF|XK8v!k
zwDB6(MaQ~>xOU!Ia!fCbbzXJt>PrU2Yy?5X4Qng@6?ves^}k1+z~v(7)B{i4tI6%M
zX<W0vkR6CxS#z3Rb2?2SX_{v@;7{B_@YT}4MOaWbLM1zEaVQPw?vrc&C#6*eaaMfh
zWLiqf(^ta6LqkJb{YFMcW)MLFm!XTUcWxW<r$Cg@|5@BKn8Cg4dN<pAVWM3Q#BaSp
z0aKq&b!Kk_oA7Ibf{k}7PCMG7Nm0LF00XzxzF9tof<)Y;H$xs8w}Ka3<Aib^pB&9;
z|F?!V(C|Un*yL^ePa2smh)HKJDK<!}s6+sy_YVkI%w@fIPen#X=F<V>eou>Q{*#!B
z9z|A39w;4gKWlpS<e&C9h&>psA0{1TR>ZmfkQ@(}oJX!Dk`+H6x?wQ_2VXpj;W<I5
zVC9z8T<6=euU<NX2rugGzs&q!t7WFZprBLU5z=9(h9aYm2%0gsjW$e8e)Gqj;5jG{
z4M4WN*-V!(2mf(wG{JLh^PZnHgwisf-P{L^;seTsxFl@C&>Mt{PYN5LET><e?qj>a
zj+Vg5;l{PHDn;P-r7`aXs61G%!YDE^G+HP0k!FE*BYNu&n784#e?^nN-b_WZqjCQm
zOr$wg3t8Ei67%<RMsS_iqK+}v_5Y){--Jk(K8UV?jYfpa-bE3bWt5ebo0lBer_8VX
z!@>MVQn*v0y~FE4oqKOIEHY9O4cr9=pdwGRs;jj?M<OuEMf8b*fc_OIf`GTwH8C*(
zPG4T2bYuyG-Y|W=o12>%lw?i+poD*4*qp={c!xe<2V4kExzqZ<A!y_-K-`s@xFaAC
zcVhM1>$Hdq&AymIs$SQuC7-^cAI72m*Bc57Fj06XTKg$=!H{_+^l*oV^)BS?e!p>w
zfd17Y{Bdkng*%Z1Dq~!j2>ZXk0zujv)3OdA0p2uV_T$5C4QM01Smp_od2hBVD|~rc
zH7Ya^k7cwNqMqOQzacL7am_87?ul7Gs0yK>Cm0-up4JP!x5XWz!IXW0+~XNgyM>1P
zETfM2!;!9YA=}RXtJwFQVhKwRrd|XzQkLy(J1nNlR-bB}bpjMi=VEQ!Lwe?wf++=x
zpMQNlNNk$eOvIvLz(bCw51ywHR3wH#bA12t;|Cj964}@>kVM>IR%@VIxtZX3Twx6_
zSs-($8XGLP){kYfRHt6r043~u=Z!x%!QF9lS&o|@PSXk9A1<{p`#V;}-5y@X9I{=}
z4!nLK04x2$&o3HpsA>_Un`-8X9sFH$dJkgFn~*2p2iEW9-_eR5H2|yy0RMSZ#|xhh
z&w?0g#kXgk<M?=|jtqJQIWVQ-Pf!DB1VPTV*`Jybz^IXc-Zyd$Op6Tt9?Cg0-Xl;l
zZLq4)dIpKY8Wb$ZJokGNuEew%0@==yW`7Mu%?AE@3X~I9Fgm7ZfVTrd8p>UH1l{cx
zS{{2dTm85<AAH-LVfDP(!>3s(c5qmCcziN3Uem<kUgL>)Di%lfsnnBnOT@i?b2I&c
z9Pt;QOdc!6C~m83Peq2Fert8QJ${MrgT>F}Ml!xf6a>9<98X>(qmjx?u@?l)Ha#q_
z8%>0-GZ%NP1p6GToWYU$CF!oyJR2O}!JFPOORzMx7rSmk9VPY5507FY>uTF$qxI3=
z-lvq5ly<+qoVkRD_vd#S1z+^6fa~^$H*c`!?JAcqburs<bb!-Hg_j?EEY4Lcc+D>$
zP{ko*+a3Sg5YiD2prk`fy}Xe1wYB-5oo_8AOG0JRpXlgNR@c-7TAY1_jE|3(+ssI0
z>*r}z=yg*eZf<VFe>?ahXNloHR{{eAKbMv+XR*1~wEuC2`tj$I5)m;mF-PyAMSI!~
zpu%5ORXqeM&HoG*_Ahv`#uIaM=1muON1w4pJK7Ey`wwW?AFpI&Wo?4hUIYJUC)t`G
z5Wi18t=lyygHI*st&`sb3IVBMoGT<=!1R~!rBzl|_8o)tLz~FRav+Mo4kLA!V+?0G
zeq3+@pJ%71e?hs|>)EIIpwng2($NWm9Fdxh?JC%ch=~b9eSLlB;NXQ4jWLQBJA84?
z8vyy&RwtjlC*#I@>YbKG>jnx2wJHY-NAJU7<3(GTB+=H^)(0^f?e*Gfn}${iEiH0*
zM~2lxFT>mKzvJ<m%=w+y&pmqdXt2&x$lToAg^#?*kd5TInOT6h_qp<lircqtAt3f^
z0N?G($5Dh15BC`yRQo$#L&l97{Q{{*NJNA$)OmL7jQ`&F6&~YISWxgPHTCZDM4e@~
z$H}q#;LuPBUt@cF-jgHs+4WI#xY*l(fG38Aw4eeU3V*TfLeXZcu6`5r&G(_0tsnFC
zIf8&h2uCBAC@3gMo6L^2H!8u%=kY5D2=(wngh4LzK{h2-)hFpakLa&En6%c&8?9Hr
zXuv*q{`?Eb6A>@SS$~0Q<^nG6cVNeFU0ppn()B47#F?>ij?5iKs%?5ukKxrWC{(%C
z<m-aA=WM^A+-v3NXlehxs;Wxd6XEeZc8kFb_X;xMalit;;Qi*N-Fr%b%7>4a`e3hu
zc!0R><oF>6Y2eyNE(=mnhTsQ2!wQ$^i<{gbjoWkH-rRg@Vv<?lbj}MDdGyyW-7_EV
zjN%7)kt1@ZM@#OSkj+~7d_l+8dt-U#hVVqhXs*dCC|rZoOy1a-9$0mGdwWg-0)S`o
z1_mhwo+#8kXhHCUH*rWn)|#S{y_fxKsk4i}>HGH(Ir<c!zU3f6UvpZY7MIn2oDaX$
zy{%*E6QpR{fRdOvZK%AH6OT!W#y<Fv=KlVO+T;Dj_)2e`q)*N&*?lyj&2ylqRMOFr
zsXJW1%*)4zuB-FJTxfN=nGhIfOhh;<ytcL$mXILpxIB8BI{C*BF~~n3Y+D{P?q(@x
zXOx$J1k(Sz?)eklV%u36Aib|%^m$DB(1G~~#CVOiIyySn$;r*TPX-J0F>vN_(g)CD
z$UvAJBe!1Z4dJf?VaK_|?@21zRYI#eX`h5TPQHDYKCtKLh-B4G!x!B3dP+^e%flll
zC3OYlxc0WaHL{}Xql1HD^78W2b8}*P1s|0dZve3Bf>NjJt@ZIK2%@>it|PG{zkWT3
zcx`&W@%wil@5i?>SJBhci)=D^^lj1d{ryG~cB<-GU-(<!&?kTl{(2vE;~onBx^Jjb
zUj71(_^3Yl`~TyBC@~3%*WuyHvVL7AL_|cppqbGbHiA&J3)=ij2I@vN$0<0U9XJ^`
zH8r(j9tlZFFesY4cW+J+TsZf+tgH!2(V+Ezqx!&8S@{O&39cX+IXT`wKIdVVi6<<L
zl-*%qm=CYk)l5!Kem?-~b}?MSr?XRzA8NTzHmq(psx_@Ce!a=ASX)~wCMCsT;tE<4
z7kW}fn+kF;ChRw7U^l6Ketu?otjh2G`}ZgOJ9PpAln9j9P7)^41>k7}wYEylZMj@0
zCe{bpaYkn5BU4k;vT7myd?uZW7p+q7o>GH7N0CQFM7#|SZi1@mt#FAXh0Lo&M84qN
zxMmsX>Ayft;&y2Bt;m+iKYx57mXdW~JR4~4yq{9Pl1P30^y#^Hct=t9ATu-bb0Z_1
zRE2loNA6Hlp9PXEBR}8o>+>&AXMS#Ji60_%j+mG@B|V+2X~B-q+t2SwlAJIz(G-yW
zjS(!GQh!jjESv^Et|DJRQjLH4@@2QpE>T2E^~tqs*AkT&rQ_k1P97c}Y9Li!1M^9r
zTv)hNpmqfZ2j{7%=%>ug`P6|Ss8hq7UO<&-b$h!J-koE8eCRv{BDdfVAFf`x`QY5O
zcjwyM+XtbjwdSUzbRGB+Z|L74Q+)*j76kD;T*Em$I(qT)<#{tRv)#SDq{71W)HSy4
z%3r^I3kKc`-}(Z*JXRZjq{;d0E)cWod|T+t9{Ec}LUO^?)m5v?0T-HG-oAhT6sl%t
zke4rCu5N982f>ECn%djmUL~-UTm1ahPwtD;TqC)H&B4j};$VAeu+)MKT!BBlCS!MZ
z_c;hT%iRySkmta6^Vt5m0yo6YRSB4$Hn>8`U*6{otluT%M{Da-*jO_0{6ondFwHf1
zv&|$JNMkABvfBaz6t7;rLcE}M3Hc;Gqz$6-@&r(8^h-&h`S$Hw@c}6l6H`b?$eAQL
zV{>+rE0`S%!V7sNC2x?}=q(MG@HqS>L7szlX?17EFF&6Z@*?m_=kf9JIk>p$o0@PQ
zL|uWz>qlFg2&AOH78fta$qX!iBw^RoJ~ozVR4coThes<ZDT$UyZPbVN2jy-HcpUQ7
zK$lSCz`J+vFg;yUW`H9=g^?SCd+}lt?ETPE81S_V=ah7HCl)>u&$2Qw+@_<W10I!w
zfPf)f!vEd7`#@&3l3coc`3`k5@RD7C@_syLE9MhI`0N+16A(Zd>M8;*j(dLNH(}e+
z;h`~X{l)=U<vXbg;x0AuZ{Gr$CRR{TKx<3RYvX<Wl1TRbs|1;Srf^@Ha0zi{BC>>d
zaw@8cKP1%2&`#40PjBRX$zDxdT%5Gc>fxR(T8t(vBxJ37@1`roYCKtEYcJSHfl&wL
zlv$?IrC%$`@1Ygz7v$g>xw#^WiiD)3q^p02*sJ073M_xr3-rzdwDkr7FNtL?4<Fyz
z-Gd0_7cXuD85(%>?gH5L|5M7j|Fl(xal8^W6e+jhxHEQ8pedA#r63UKxD5~-Y=p}K
zWdjC<jR+kZm!ee((w1A18ApLY=QcADuz@m|1Lr!*Fm!Xmn3~3MSy-TRo{Woy;p+GJ
zFZfG;IO)lG&wJkYc|OnceBTFN!;yPBt6%kCe!dT?t^h|%fk1E*<XsNLnqOF0hWjQr
zH#uv6t*uEB?9s%Jjwm=KcHKQaO9n#|%H@kIX!mt^+``iGHjc)rP(GBz5^s5X7u@ZB
z*T(!+tzlND3(mfJ->~JcbD@QXhp*r*sfXY;^OpE}%xvf8Z%7U!eJz1{{o>@LdsvSZ
zo6Yubxz^W5gMLIlQ|R?4gTe4&u?)!;j_<H?^Z`XzE*)VaE-n2fBRgA)aU4e*5Q$X!
ziCP^j6bfzZ?98x8)*CCa@mBBlG>wdKy2GoiO4ZIxCi6n%hhgjM>m-Cg9t3f5Y77Lf
zcIry@(qKh;*qHaF`gpV_&}eG4+Ekl6I5>!$=1qiI^3G1WSS+p<iB=#RG=+`&fx=(2
zJ>ciZ0KXqRcaA%0dMR4jfr0{N0+*cpw6dvX?vpny8njXMV`HIpXmlZIZPg-HdWD9O
zWQ_~ohEDkPs;a6xg+X-)EsQWxeCH2xbKUfMeX{JQA``1i>tsm8J8wHfe^L)4hdY}4
z?Q}1~`P!KoI^ujII$M!&(4K*TwlFb`{rxPc*pAt!nc_WcM#AFR=uDDMgoHT2muj~W
zg*3Z`FI>vw@n~jdW&x)be2u%i%TP)H`?#G$HR2}zkhmlwU*(7$z!M6C;B%IqKDEru
z%v`C#k3jvqRo;^(w8UrwXHzq;HEfb3FDvVU>RuDeKU(=++#aSaAtj|@V8HLOa7QeY
z2A;X?B6AY8Sh|JT1EYT(KjV$)wc_y|TSQ6MbT5IM=GNASGBWlds;kEsVd8Yv-<N=O
z$Le;1ZfP{i`-1Wp+hyI*0cc!grV^C0jmUw^6$%R&EntO!<LsL^>53Z7{x%fSm$5N?
zn9LtxZB7&yKV0{BA5p6tVu^!jYX!_~Qz#VNM<IY@xWv$EvaiCkVi*fxnOxFP-w1G;
zmXp(b{=7YurIRraSD!s=ZTCDxaJl<vB+f4^?rs?nCh`&!=^)FGk*Mx$c8aJDfW=Tg
zD5dBc=8Ix*E|*JgY{X!BK>aHR2umd9d-z&zn3Uo9xvq~K3x@cox>CEQrl&iil^)XA
z=*Y;(N+Wr~jMuh5%8Qs|{BW-~>T4X>lP6s!l&J|xmp{jRq;TKJo2dN)CF<CJcDFpQ
zrYB*mpH>|(_VV?qd&C6)F!+X3zQ}_n)E|{%8A8zFh+eszhuuXPAoiD({B;eYIqimV
z`m=n3D(QFN5y*65rIf8g=tB*NmJYQdF$k1>PLkB{gyY>fLHHh>PA}s(9virl_Eo%E
z5LLVB13!OV^fx=0!})n{XM?It6`nj92Q|DBpQoe3+C3s*)q$3Ky;3TXz|0H&xKUGB
zP!L13OI%%D1vtcze)Q;EQF8MH+gBo~9leoHA(rT@anv3}rJc2K2>Fk>C<_4An*FxC
lLPN3E@U1Dv|NO&qF@NN&>KnbN1=%QCV%+<&gVD!7{TJPurZNBk

literal 0
HcmV?d00001

diff --git a/labworks/LW4/IS_LR4.ipynb b/labworks/LW4/IS_LR4.ipynb
new file mode 100644
index 0000000..e1c131f
--- /dev/null
+++ b/labworks/LW4/IS_LR4.ipynb
@@ -0,0 +1,412 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "gpuType": "T4"
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "accelerator": "GPU"
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "1 пункт"
+      ],
+      "metadata": {
+        "id": "6tuecB2YaGZd"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "EexxrLenVcsK"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "os.chdir('/content/drive/MyDrive/Colab Notebooks/IS_LR4')"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import tensorflow as tf\n",
+        "device_name = tf.test.gpu_device_name()\n",
+        "if device_name != '/device:GPU:0':\n",
+        "  raise SystemError('GPU device not found')\n",
+        "print('Found GPU at: {}'.format(device_name))"
+      ],
+      "metadata": {
+        "id": "JZQBWhlnZ3Kz"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "2 пункт"
+      ],
+      "metadata": {
+        "id": "BMVDcB8saN1d"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# загрузка датасета\n",
+        "from keras.datasets import imdb\n",
+        "vocabulary_size = 5000\n",
+        "index_from = 3\n",
+        "(X_train, y_train), (X_test, y_test) = imdb.load_data(path=\"imdb.npz\",\n",
+        "num_words=vocabulary_size,\n",
+        "skip_top=0,\n",
+        "maxlen=None,\n",
+        "seed=19,\n",
+        "start_char=1,\n",
+        "oov_char=2,\n",
+        "index_from=index_from\n",
+        ")"
+      ],
+      "metadata": {
+        "id": "dVZOh4OjaNfT"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(\"Размер обучающего множества X_train:\", X_train.shape)\n",
+        "print(\"Размер обучающих меток y_train:\", y_train.shape)\n",
+        "print(\"Размер тестового множества X_test:\", X_test.shape)\n",
+        "print(\"Размер тестовых меток y_test:\", y_test.shape)"
+      ],
+      "metadata": {
+        "id": "ONS-UYoqb7VM"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "3 пункт"
+      ],
+      "metadata": {
+        "id": "vrPoEAUFcZ6P"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# создание словаря для перевода индексов в слова\n",
+        "# заргузка словаря \"слово:индекс\"\n",
+        "word_to_id = imdb.get_word_index()\n",
+        "# уточнение словаря\n",
+        "word_to_id = {key:(value + index_from) for key,value in word_to_id.items()}\n",
+        "word_to_id[\"<PAD>\"] = 0\n",
+        "word_to_id[\"<START>\"] = 1\n",
+        "word_to_id[\"<UNK>\"] = 2\n",
+        "word_to_id[\"<UNUSED>\"] = 3\n",
+        "# создание обратного словаря \"индекс:слово\"\n",
+        "id_to_word = {value:key for key,value in word_to_id.items()}"
+      ],
+      "metadata": {
+        "id": "ldO9EDteccDO"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "idx = 19\n",
+        "review_indices = X_train[idx]\n",
+        "print(\"Отзыв в виде индексов:\\n\", review_indices)\n",
+        "\n",
+        "review_text = \" \".join(id_to_word.get(i, \"?\") for i in review_indices)\n",
+        "print(\"\\nОтзыв в виде текста:\\n\", review_text)\n",
+        "\n",
+        "print(\"\\nДлина отзыва (количество индексов):\", len(review_indices))\n",
+        "\n",
+        "label = y_train[idx]\n",
+        "class_name = \"Positive\" if label == 1 else \"Negative\"\n",
+        "print(\"Метка класса:\", label, \"| Класс:\", class_name)\n"
+      ],
+      "metadata": {
+        "id": "dgLjpdWVcaT1"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "4 пункт"
+      ],
+      "metadata": {
+        "id": "sJRCzgSXdyaX"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(\"Максимальная длина отзыва:\", len(max(X_train, key=len)))\n",
+        "print(\"Минимальная длина отзыва:\", len(min(X_train, key=len)))"
+      ],
+      "metadata": {
+        "id": "NKuA8LSfd4nq"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "5 пункт"
+      ],
+      "metadata": {
+        "id": "xRZqJEnkensA"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# предобработка данных\n",
+        "from tensorflow.keras.utils import pad_sequences\n",
+        "max_words = 500\n",
+        "X_train = pad_sequences(X_train, maxlen=max_words, value=0, padding='pre', truncating='post')\n",
+        "X_test = pad_sequences(X_test, maxlen=max_words, value=0, padding='pre', truncating='post')\n",
+        "\n"
+      ],
+      "metadata": {
+        "id": "FcSsuqWGeqDE"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "6 пункт"
+      ],
+      "metadata": {
+        "id": "Mrh00gk2gHaS"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(\"Максимальная длина отзыва после предобработки:\", len(max(X_train, key=len)))\n",
+        "print(\"Минимальная длина отзыва после предобработки:\", len(min(X_train, key=len)))"
+      ],
+      "metadata": {
+        "id": "woU0e9UMeqQi"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "7 пункт\n"
+      ],
+      "metadata": {
+        "id": "jvOmAItEgJsq"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "idx = 19\n",
+        "review_indices = X_train[idx]\n",
+        "print(\"Отзыв в виде индексов:\\n\", review_indices)\n",
+        "\n",
+        "review_text = \" \".join(id_to_word.get(i, \"?\") for i in review_indices)\n",
+        "print(\"\\nОтзыв в виде текста:\\n\", review_text)\n",
+        "\n",
+        "print(\"\\nДлина отзыва (количество индексов):\", len(review_indices))\n",
+        "\n",
+        "label = y_train[idx]\n",
+        "class_name = \"Positive\" if label == 1 else \"Negative\"\n",
+        "print(\"Метка класса:\", label, \"| Класс:\", class_name)"
+      ],
+      "metadata": {
+        "id": "LGoRw4AHgJ9s"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "8 пункт"
+      ],
+      "metadata": {
+        "id": "5CAdHfC_hVfo"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "\n",
+        "print(\"Предобработанное обучающее множество X_train (первые 5 примеров):\")\n",
+        "print(X_train[:5])\n",
+        "\n",
+        "print(\"\\nПредобработанное тестовое множество X_test (первые 5 примеров):\")\n",
+        "print(X_test[:5])\n",
+        "\n",
+        "\n",
+        "print(\"Размер обучающего множества X_train:\", X_train.shape)\n",
+        "print(\"Размер обучающих меток y_train:\", y_train.shape)\n",
+        "print(\"Размер тестового множества X_test:\", X_test.shape)\n",
+        "print(\"Размер тестовых меток y_test:\", y_test.shape)"
+      ],
+      "metadata": {
+        "id": "OAsrX4WdhYAx"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "9 пункт"
+      ],
+      "metadata": {
+        "id": "GTQnxs9AjEaz"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from tensorflow.keras.models import Sequential\n",
+        "from tensorflow.keras.layers import Embedding, LSTM, Dropout, Dense\n",
+        "\n",
+        "\n",
+        "model = Sequential()\n",
+        "model.add(Embedding(input_dim=vocabulary_size, output_dim=32, input_length=max_words))\n",
+        "model.add(LSTM(64))\n",
+        "model.add(Dropout(0.5))\n",
+        "model.add(Dense(1, activation='sigmoid'))\n",
+        "\n",
+        "\n",
+        "model.compile(\n",
+        "    optimizer='adam',\n",
+        "    loss='binary_crossentropy',\n",
+        "    metrics=['accuracy']\n",
+        ")\n",
+        "\n",
+        "model.build(input_shape=(None, max_words))\n",
+        "model.summary()"
+      ],
+      "metadata": {
+        "id": "R_-5hCfGjibD"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Обучение модели\n",
+        "history = model.fit(\n",
+        "    X_train,\n",
+        "    y_train,\n",
+        "    epochs=5,\n",
+        "    batch_size=64,\n",
+        "    validation_split=0.2,\n",
+        "    verbose=1\n",
+        ")"
+      ],
+      "metadata": {
+        "id": "JyegJgdBlU4P"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(\"\\nКачество обучения по эпохам\")\n",
+        "for i in range(5):\n",
+        "    train_acc = history.history['accuracy'][i]\n",
+        "    val_acc = history.history['val_accuracy'][i]\n",
+        "    print(f\"Эпоха {i+1}: accuracy = {train_acc:.4f}, val_accuracy = {val_acc:.4f}\")"
+      ],
+      "metadata": {
+        "id": "9etKZpeVmeNj"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "10 пункт"
+      ],
+      "metadata": {
+        "id": "sulUG0iDmukX"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "test_loss, test_accuracy = model.evaluate(X_test, y_test, verbose=0)\n",
+        "\n",
+        "print(\"Качество классификации на тестовой выборке\")\n",
+        "print(f\"Test accuracy: {test_accuracy:.4f}\")"
+      ],
+      "metadata": {
+        "id": "hVdh7SIAnWrx"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "y_score = model.predict(X_test)\n",
+        "y_pred = [1 if y_score[i,0]>=0.5 else 0 for i in range(len(y_score))]\n",
+        "from sklearn.metrics import classification_report\n",
+        "print(classification_report(y_test, y_pred, labels = [0, 1], target_names=['Negative', 'Positive']))"
+      ],
+      "metadata": {
+        "id": "-p7pfGE7mwZi"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.metrics import roc_curve, auc\n",
+        "import matplotlib.pyplot as plt\n",
+        "fpr, tpr, thresholds = roc_curve(y_test, y_score)\n",
+        "plt.plot(fpr, tpr)\n",
+        "plt.grid()\n",
+        "plt.xlabel('False Positive Rate')\n",
+        "plt.ylabel('True Positive Rate')\n",
+        "plt.title('ROC')\n",
+        "plt.show()\n",
+        "print('Area under ROC is', auc(fpr, tpr))"
+      ],
+      "metadata": {
+        "id": "A_ZMEN_YpmAq"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file