From 068ee153a0510b8c5cd11bb0a7ca56e79c0bc359 Mon Sep 17 00:00:00 2001
From: s481904 <karmar19@st.amu.edu.pl>
Date: Fri, 7 Jun 2024 13:03:50 +0200
Subject: [PATCH] gen alg 2

---
 __pycache__/board.cpython-311.pyc    | Bin 0 -> 7171 bytes
 __pycache__/constant.cpython-311.pyc | Bin 0 -> 400 bytes
 __pycache__/kolejka.cpython-311.pyc  | Bin 0 -> 6782 bytes
 __pycache__/tractor.cpython-311.pyc  | Bin 0 -> 1554 bytes
 gen_algorythm.py                     | 126 ---------------------------
 5 files changed, 126 deletions(-)
 create mode 100644 __pycache__/board.cpython-311.pyc
 create mode 100644 __pycache__/constant.cpython-311.pyc
 create mode 100644 __pycache__/kolejka.cpython-311.pyc
 create mode 100644 __pycache__/tractor.cpython-311.pyc
 delete mode 100644 gen_algorythm.py

diff --git a/__pycache__/board.cpython-311.pyc b/__pycache__/board.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ee87ce86abc078b35553b5877cebe0cea4fdddec
GIT binary patch
literal 7171
zcmbVRZ)h7w7N6bKN-M>-oM`3$Y2(;VqNbN7apJ^@DMyp*pQPs|b=qEJ=Tt>2yK-d9
zomCQ|%00uCVv3+@@SV-kg1HYln{d#B<LE&Ta&UqB5?GlnHVcM><31P;P9^u@=%;&c
zR=ZkBmPs<Z`gvyd&6_uG=Dm3{{#|3Ek3h=(@%s3m8wvR*7OdndWgcIG%py^U!X-%<
z|ME$0iVyQsLRgq`g<YKaO$>|hO-Q<@JYf$<c=8%iT%Qm{yvGxAAAV*EOA0qaLhdar
z4u=H8r6w|Q!$niKRl^laCDjmTc&^ZBES;jUQX}?<D-|AJhs+|0lQ5@{Ft2c*kg%Ze
zfG$M<6tUZ|TM+?0iW^W;Jb+$B0`w_fz+H+DutC`c*r+rBHYtsOex(VpS@DC2&4&0&
zDoT}@)iL&u;}GEYI0vvuCP<b<AZMm5S$5J|)#M)J?%O2}+AQ1pu&W`n4ITDXld9<y
zGD23l;gHJ^ucO4qu4F2zL=scciMVPsO~j|;G@6b_%#S|yF_u!(>M957k0-}f6nozf
zr_P-jdq<5^b?iozMyJN!nvS2RiCgipOE;4<iS*bEO-;scq{m=(Zouq}F@8s8?if-e
zl9*1UBauuKQ`r%#>;}H-Ie<B`5p11z<$N1b!@AVACbbo$4qfWdqz+coxh8cMq`kVd
zSCjTa&FB8l`~|69m)bS!eT;gjm<&`7n~Xn!{EH-w1f?`-PsH}BR=9gWao?tbX|z@S
zRDAdvK9=D;ojgJfAJH1iQ_171;e&I)(o^vfYxsDciI2O6k7V(|WgGGgXZ&m(y);3i
zs(NH*dLq+gRwxOYc9v->c7v5m4Q|KdirJu4k-3wZjxvg7lS3>@X^Qa(c@6i>or&mF
z+z^>v7%nseLu9=gF6;}PQ0#^wGQMCKsYKFnn=Ggwgf^{&?uIOF0Lbh%7rVpQz=;y|
z*8p>5GuXK>wjMmN7CfLGJY5J5>cK%YfK9n$;mviqZ%yvg4h$6JQ@VT#>b;wR_JyJK
zK<`?hSL-`j2n^_f0aoAAwUAtIIk?txP&+hOXgQ;|oT=e+svw`%<<m9vX9_K6^_H_x
zziS>I8UWEMOb8b%God#j1704SY1%dlLedUDRXLI8tGpE$kWI@bmLIO@2v;HY{`dmx
z2p#9OeY4=fpS8m;_*^%vA8z|z&Xjv;o8_ECDtm?r*tmXM<p+RkJ8}*AC=O=}b+N^A
zsHH7b*A^P)7LI2NO=1hz^OhGN#2aoJomNs)uxvg^C1UYa-r$cMHMoe1EcWeVYv%{w
zP%@#WW2vc`moxq55~_63M~0HASTw1=3>k~kk!=B9Y6xJCXf2n`_W}2-TMM&V-x>2Q
zw4T*l&)Q$vyn}cmh&K_ZI12hAa&d@7UxJFvp(mAx330>}A~>O$@4N4rT|Rv0(TTr~
z{%sUWg_g@Y2x*a+k_hxDihzowyAZ0)3+*T)ZzoF-zNmcwxT9dd-;KWiT{K=89oI+4
zp;!n`=)nmzka>8_1&^b&63!M|@EOno>={qE*z^3g-dVna8nswT)usW|yJm&7?J)_N
zw5hXvngv~E(+ub!D^%Aw%g+2g;Bw#QH0#QeN!z<;`F2Yj;8@Pjidl$}ZZI9t{aL}z
zcV)R{hlF-xu*^x@M`vA?;TuPCsjR5*C4RBA-9L;Gjew<P#|W)D7$=#;$!5tpDrbJ2
zuk3Huy@QnKgjuSUvTiGPEp2WCMkJI*q&($_aHX>39ECGqGa^r2*>==>-BzC35#_nu
zD=;S4EkgI!ZMS1@z##@4#FAEa;?iVkU|Tsp1upJq)Gc}imYn)@=4*5-?J!!KTdkaR
zTS>LFpqXM_dNR4gn#}XLM)(~l#XYna#>RFT+6}poi|)sY9t8FYz1$XB(iWOcsM&Oy
zX#S?>L|16I-j2u86g?XAq=xHyGLfcj_{p0Fcdw48=#(L<u%E<f2a=&{pq&U^2zvoS
zUfK+Q4B>WS+7RF<W(aT+GrX~z*W(ci9l*&9vW5=>qzL0>_%KW=<r~Z>$t<bp2KHHr
zZFz=Iq0!qB<e_GoO}AdIL1ESZfFqtG{|dByC4X^t;cSt#dry3iFn?~dwd<=ZUwpLi
zQIWJYLM1?6*zDT><;4}@_sXj8>vMnU{lkTau7^sY>!RLuG4I_7wl9R2g@wrSh#m~(
zUH=HQEOB=S@&ik;<zv4YUmD+#TNhuy`})$AFT*SC1-W0B`!)7L%caYAuja3Ab|2Kc
zkF9r~TI)Xbjq6+Q!}E`N9}E?`FX`Qv@)yeOuda9t@^M{0uF1!(+VD!KAfM3X6B>K#
z@$@~s0z5C)@^s2n=2?~#1V)~3Xu&>sEeae<xnB?fY2LmY&WFnsPH91Gn_{ykr1$i%
z_YAJ}41Ux5?cqnRM^_$vROlJedq(namfMdyda!E8Rt5|5NnJjv$tNLGbdz9PNx4@Y
z$_1gnKL%4*6kt->^wvhB=uFw>jDZD4qYAGGrN^b154aP>^JRnc+|3M18s1W%m1#t1
zP!3Bv4#iMI+19qRG<pEr97H&TfB_c8hO{35E+s^EWUdKS(EV9!x_q)8fLir5z#M_a
zx3MR%5s<fk<=}?gQfzPRXettb`SZC8^YEC;L1kD84WB9J=a5;%-PHO*vRrw;cg6v;
z0#Mlz&h{r^j0h_CT)0f&hfSX(nBmzu=*bW!;%RVF=qTtQ0>;?jWD?1EBz<QluA+cw
z_NK{8KpsJrS$6_f`BflOQN<9!$!!Z4mehr}me1+(p?U9yKak6O{_$rYFC|uX7yO5H
z|6xr!yn`w}1~!#JT$amLhY%G?sHZ9`EK0Qi2Vv3<8O^OL<;(I=Yfpz++kgjHP!$q`
zW-t^o^<}H4R$m@)%6PR^r7cfFji7VQG@9PARJ;Hz)$;&wp4`*E)U%`(_Vnm`dgeV$
zRZBg&Uo5G*zi0WwHUA;aKlXLcH?7}xt{p$G9UuLBK)dvwera^=jZy7KW12Kpt49=^
zEh!AgpKM84dKw}0C(vk>V<TP_s@8>yZ0)sxqr>gOF*+;`1C5H_A65d+eARHIL$wkk
zTP87DD|(3fW-tU4rIV;>?>~hK%KEGj&a1*gW!C^1zo~q?;xe?b1l;=^9xC$vIscMS
zkh(PX)(U8=6wg;rs?uBLLW0$@ofE1fH!2mcEgVY4;uVL?l}f#%`HyPS(H&%dmSupx
zg1N~Z#Kfx<hnQG=udbMM%^%XFP_3BHF!%Hw=!VvjOu~6)qLpqft#TL|Jua=w=ewV1
z+Mhu-^c=Xg)DzE#;+TPzwZD{Wu3^Kg2sKwa=!TeyJb(;dQCHr7>~y7b?bRng<6e6S
zcb8@CsV1SbtlU#*E5yvM8bYW*+KH-LR5)cG&Apa|e-u!Re?ww*=sN<nhC4bl6Q5Q}
zKGtZ$)gPHjsflzVHLaHSs47>x2REWh+Dw~u)lmKAedtJ?0st4)-Z|g2Sq@MI??90N
zR0ODeBUA$9g^fV#;?UipWnp=w5D4jkP?2!E2R7vW>vCvK4z2WmEv&p?2TuPhirCam
znxBIUa5kyKq1||~J`H!4k%-}oM5a>8P1tKAMnfd>;mv5${6hDDbnHHoHe&9_2pE*m
z*AXrvyoG?yjH2S`y9hr+7)8K;V62)8$-Lae(?3Ok%L$_X8(_|Uio8qgC=wf*+~QD?
z*wD<0A8;_zGP*lO2={ClY7!yPv0)!Cz6c7lK;p$~(A<F%C!*#oaC74GSS$e)k72O{
zP<#Q4C4l07ES8|U=oX(t$*X}WpA8?5MeK|v#b7<9qtm5x7A|A+1oi^vaE~_kex|n=
z7SSlp%RXtyoVJ%~9O^I@Q-29i6gZCCAdPeE*&uyd{ntU(sga7e$VWL22CzMT&+7kM
I=PMKP|J{0k9RL6T

literal 0
HcmV?d00001

diff --git a/__pycache__/constant.cpython-311.pyc b/__pycache__/constant.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..b4c9662083f7740ef80b2c79982480a3a6d9d1d4
GIT binary patch
literal 400
zcmYj~u};G<5Qgo<aoUOqL_y*ex-g@vVqyj)V2L~s#cmp!CXti2YFXS3i3i{j5G$|2
z3s_#6vLSWr0_Q>{?&Q1gexLq(4T27W7=GLjpP_%+VHeIHtj_>m5JwzmC`8<0@Dt+D
z;qI2)kO(Zu(yAUOA?04^a~ifdzCk^|u{M`Ir%|vVT^NAvRY@$njfU2|TftrgA+b#V
z3Ew;Z-Dn$HE|O>>j5kktJu-A8(qvQ{B8z!tNL*x4t8^(0U5G3z=Eh5;5V>)s;BROR
zc4*U&`|Pd~vSQ;%MiX|Giwl{~1iPMQWm>aR77t=vvs)RB>q4@)$g4Wa>(g?vX$>X?
zpJw7*9)lHzR}G+ixfo-O0<}$jaIy-Nr)E0nt~!b+uKm3yzIs$dw~rLn{-N?T-B+$n
H*#(0if=6lT

literal 0
HcmV?d00001

diff --git a/__pycache__/kolejka.cpython-311.pyc b/__pycache__/kolejka.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..aea34857dc0f166f4d0d4b6d2a330e9b8afa226e
GIT binary patch
literal 6782
zcmcIoYitwQ6`rT<Bu<<cIIKhC!lq!F!ln!4MR^877f4`}EhtLmx*kKEhaK)rAXouK
zD}DqNX(NP0R!h}X%F;xD6jWA9B`T#Vl`6GA#?eTPM&ei1AN$WJ{HXR<&$;vP*m)4d
z?zQL4z4zQX_nhyZ`#ATH#l?jTq|5*O&E?-0Gt7UmU?suKtPDWr0V6RIJHQOG-RvOO
z%?<M1{GiY+unfnvF%oy1k@!a(!#sw^NZlgk2*45ZI4;U@0mq%kaZ8>~CRFe(iU<k1
zcs(vDy}GM67QfP~=mJSzmvteU9FU`CFZ9Klg_WN`<^dC9x><?o<|Otu)6Ju9-Game
z6(!K7+a-z6hf5bal}I9LS&1T0cOIUVvp^m&SC~;I3^^l7ER?LCm{Ba*wvKX8!Y^qW
z<)LKDl^E!aYuA~OsIx;l8_{_%L+8N?y+DeSSX7B86JV?$#|ADF7zKuu0MU71$|xoX
z>AR+AbI)gTjL1Fx5fT~f=}5#{N&H%@=lt-%P+aL5BFVm3ztYo1BK=B|^z<hOVtxIQ
zy+b#2PdFS;#FcP3Rg5O@wTdWP4gncsmdh%}g$bASs@Mu8&$9X2Rt=?+armu3V<u{Y
z00kF36taVm0Ve@i`XFbdufQ>&Y`2FpK+|W#_7(Fx7l0$Qr$m6HIhb<S1pyYw6xRi9
zXqtl|J_`%+f$TY!l)_6!$w5*MRCkBNvO>T{uW2JKp?AyZ6=0&TV^X<4qWU`EKPx=(
z7`X-I#VsSJdOAoYG>zH=2?fkk`$i%2fKhB)7;uiPWsji#vCWg%erhAx>1;D?+YO@Z
zG|J|F%QCsngzkgS9M?`z05}Ri5KE9E$m_1i&`>NP5ic@$iV3(8j4^PiTgj+9xQ~g^
zP=t_JLNPHiOZc&T2*?=os;FdKnYebRWuj&3$4f;4wJ5OcEuA>^#ksrZranx2Ycy|-
z>aAJc5*TltI5iHxjL3Maq1kHWJRp%G*XTy%Mp+A$Nse>@F2FXD#F=P)KFUqo7+PF>
zD`K_;U!qi+Bt8WLED5=b2(&=YrYV;r*DDB{nVjw3xd%%K^9ZzgY-`lXtk;86Z^*Cv
zy_07lM%G2fDK*aq8-uk`+6b9<ljPLFsr?U%jA;7Iy>)#C7g94hH3T%ER>2k4Oa?x=
zc)%Anez_dEX}u9v-nU0fp&!<#TyI0piB_IXHYO&DxConREfhCG?)@Y?b%ea7#P^RJ
zYp+gI&VKCLz<S=`)KGHe&xIUW)^4#mS=@%Qta-6HS?q?gEKk{-EOC`AR<g8tAM7^P
z@!hant)s(tY;8AZ@5W<lVYhu#{;_IItzAFlZr8ctAzc`VT~@xu&5<4gbdeYbVkvn&
z5h|c(BHbOA!z3B)*ZIN72t7g?rzYHpp)Q^vcvvI2mzrk<vK?9CZ<7%s<(?D-c{mzP
z70{y;X6b1w1lt^(ql(HVyY3#ob9mWTF>z~p>ymGm>f5#KuYPdz-p#K&XDgpn%^#bq
zp1+!|ZPIF+7WThrO#53ke`|(e%RXga1!|@%XR4l_m=~UV7V4jQ7b5Apqgvh3#SdTZ
zO$RP$feUKog;)N-RO`dj)6z^Yv@1#bk7)iQYUvT9&&nlVt?H{a`<(8Yx%5<?-~YUE
zA@c0dVp)3M32onrY@g?`&#(FE)|u0@SO0K!zAPR5SPOnUFFo&F6ke93107nRL#^!C
zxKIC*Z@22(y~@sS6zFv%U3*lkMH6<X{bw})8MO5hwN;q$Jl#1fJ?UL2n;ZB`>tg+%
zPp9{s)b^bGhwv}x`=S=Os8(LwxbIwybM5`Ruz2;ap7g#?w0)oC^_{i(o5}_DSyejN
zq6J$Pq!+!L>l+68SLPwmIn<V}%FM|8*0jG-^EaxcjX5J@HNoL?rTq<>zd<c+Fq)V^
zI-3Y-{{hW^KrKCx<5SKi{<ObI^EaubP3V6Ymx|!fS-o!Se1WFJI0d@%G+#rle9g^a
za7dZGmi8ai{0G(2gPAhMyB&1OlrW{>D7)x^xIN^?=qnK!jD^E`VK_XPl!gZ|?+u5q
z4o3zI4ynM2=|}P-Bp8#;F;oIQxD%Yhl;A;A?gTPs|1z8?ZqG0_@v`E17W^+u1zxPq
zFgEe*6dN+kYGU+<T}9!slXW6rse`J`1lJH^yCsb4+`9XW5ryW2j2OkB9V;JEfi$j$
zoRM;)Y#M>vVG}NjWE->#@j4fm$On+sMGSXtkgbq+go6~(RH@m$9r0q2DhGhTGFFZe
zuY0+ol7_ll{O~Fqho2G2*quUSRF*2-4H<}J9DByv@yZ%89W%ma<6enP!C5iNWiJrW
zG`J)nJD>+xoPQ24f_hRL=QtYKk!q-rQ86o?E0mH_qz~fWNFr5k*_y3u!S+7|0@ixG
z6NUfwY+LedgE-Dpqj_pnPYu+LdnP=S$L<v4dmMg-_12ifw^{4&K>@9w#@bcs5!5`k
zYvtNewAhwoTWr?=iZ;fOx9g!L#B?~yMuLb6;zuh<TyC`dIUC{))P~U;ObmjE$lv~S
zJ=hnMmEh1Y6d`Obh^B6YX@S&3TMDvX_{)S88#zfxlH~i4UN9^VCk%AUEOhOv!yrOF
z2?TEzD!#aN_g30hqxotwj8M=5LGyUqMBC)mJ7@8|T;adpJS9E6GRuD1uT|_(y?g#!
zUaf9#N|!fl<;|+Mc{S_^4s|+oiCm|1!qrcKgX;mdJ;YIOF^tQf4-FtCWm{n*fd<HB
zK&TZHBUAeyHZ1vesGc1gOoQ80BZ<9<mphO*QY-W812_3m$Doh$*<rOWL>$uq__hm}
z{0jIUt)>b1cHZRkEL<sdG7|?So?aZ$(@@u`Il-7RcsG<i`Gkb*ywP2880dakXXEyr
znsF&2Mtft?{#3Cw!nAlA1j(NQ0bI(;$KhgZ%l!{B3|9aPDUk7F#@16d6Ik-qslK}T
z%I8%J7hZg}RDWEpKfb8E98o*Fw9ZRQZI{%xOUwSiq%x`eZ`oHlK1_ja4|&KQR2HWv
z!Ijn60}f!W2?-7uIf~?GNbq9H*bDYy4hgoE@qTj5{$)5`tiq+<B!!%~6%@9JOB7ph
zr!YwgEAGUN!X&`mg4}#!^o>16;jxo7V^@Muweh|HLnZ2k9n$r9OiCpav9-4YG;!6X
zD=zuCj)hobg!BCxcg|ErR<ym;p9hAF5jl+DrWW@xXq!9Fs7G@-9?iYQqq(<uG`FTl
zv(%%(uVFFkIz@f~nph`vT=U5hAUWrA>KLg~huPF?(P8CtK+tQyUx$s_GZn<+ti)%f
z8AvW>o81uUUQP#=bL@8eL7sDmBk1F)Ee<=gyW2%<i^nA}cFo-lHaPg3)6KQ!bUO;4
z(?0Si*>Pkb>3~N*24u|sWjGe+mrVo#r;JSsSuu#*d}2%^lnIkx_e7Hk+@%zPKoS87
zMrKBgM$db6qEkh3SAg$4hm2$7VbTU);5?L{0Lkzy%Puo})wlgK!bdEe09TXOSobE&
gkk~2~Oj}J}W8Ir9V}Ah)=B_5MvF^<p3<}2o0sU4J5&!@I

literal 0
HcmV?d00001

diff --git a/__pycache__/tractor.cpython-311.pyc b/__pycache__/tractor.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..525ee12428f7ceff84e6af13385ff5323998b539
GIT binary patch
literal 1554
zcmbtU&1(}u6rb6TblW7gP1o8MD}lB`K&oJiwo2=v;6-9Vy@bHJW;b!$&2F6CSQ;br
z&_fYX4~1TOh)^n01O>1D1zwU8Ff4cy58fj6)RS)}*=;Ko!M@qNc^~t8Z)V<`yopA;
z5K#8>{p>u4&^N01B(#OS2@p1rhBR!V6rDK}=eZPz5r=LfjbBBYunp)P__Zj-YxoXI
zh(D;BOkhuNjFO&dd)b8B%H9wN8%Reftf3UA;Z+1^4!EH45JT`f?h-ZQ+9bmt!iPYn
z`rai7w1LXFjFiA#=0NikAlE+#_!oj0l|$A52uIuo+|K`Dxf5Xd6JUj-SWVm%;QXS0
zDlG&Wy)Q-@f=lg4mb%^6tzIk^#tT-i)Z^=#y<{D=n0nS_mR^4iF>()?3ChD23!Xqh
zo<J9RB6AW6vL!k^p4dwspRr9ZR9McbdEFC@yqeQtv8`%eh$)WOsToAixQ1;dcxV>g
z%#tt!AQ4~=tyw%C-=E4%r|&sBang$_QS<5BmOe*}$9j6cXci1NT_E;?zUZc*UlyTX
z((T=j7nVIqQ4Gs)6{XYzUfNCLzJ>OI^90xmYV`H53D2eW^gTAPe&I`OWH&Za9i6Df
zChM`uukz6PtuOM}t~^#ff3+r0)#a&w+NNsqbX}fqc8X`Zng|#q2{$8XC=NpR8jL+i
zk21mY0VU|~7ob3YqXoKz5y(M*4*Ev)lq=)P;Ru0;zJ`OocWGhTRDvD>U(hLk`m)^7
zXN}?UL-*ihB1C#12I&Rn2@g!eWtAedQmk+Zp2Vn+UotE&+Af6BDt5b^q>q6$qAryp
zeo?4)3hd4`U{H{Ovzy_{+*YzaaCt4-kisveXVR<Tio7-OZuIr=d*P$>N&XP6#%F5M
zY+ahI`X4zB_+&z)g}0#V6vgXOl)SAKO)5te<xx>JTOK0AT0;MZ-Xex$J0tW~7^C}j
zt^ivJMw9Cl<4qK>eonlBo9KAnib=yI1QLbGlQOpDxT@v0E{tV52abd6`_lE+W@kto
n9JJm}8d#IZ7&lOKg^dOptRDTETsNjWIiCMy_FsSTvh2SBrPe-u

literal 0
HcmV?d00001

diff --git a/gen_algorythm.py b/gen_algorythm.py
deleted file mode 100644
index 97123d022..000000000
--- a/gen_algorythm.py
+++ /dev/null
@@ -1,126 +0,0 @@
-import numpy as np
-import random
-import pygame
-from constant import width, height, size, rows, cols
-from board import Board
-from tractor import Tractor
-
-
-routes_num = 20  # Ilość ścieżek, które będziemy generować
-board = Board()
-dirt_positions = board.get_dirt_positions()
-dirt_count = len(dirt_positions)
-
-def manhattan(a, b):
-    return abs(a[0] - b[0]) + abs(a[1] - b[1])
-
-def find_routes(routes_num):
-    population_set = []  # zapisujemy trasy - losowe ułóżenia
-    for i in range(routes_num):
-        # losowo wygenerowane kolejności na trasie
-        single_route = np.random.choice(list(range(dirt_count)), dirt_count, replace=False)
-        population_set.append(single_route)
-    return np.array(population_set)
-
-
-def sum_up_for_route(route_indices):
-    sum = 0
-    for i in range(len(route_indices) - 1):
-        current_dirt = dirt_positions[route_indices[i]]
-        next_dirt = dirt_positions[route_indices[i + 1]]
-        sum += manhattan(current_dirt, next_dirt)
-    return sum
-
-
-def routes_sum(population_set):  # zapisujemy na liście finalne sumy odległości dla każdej z opcji tras
-    list_of_sums = np.zeros(routes_num)
-
-    for i in range(routes_num):
-        list_of_sums[i] = sum_up_for_route(population_set[i])  # wywołujemy dla każdej trasy na liście
-
-    return list_of_sums
-
-
-def calculate_fitness(distances):
-    # Odwrotność odległości jako fitness
-    # Dodajemy małą wartość (np. 1) aby uniknąć dzielenia przez zero
-    return 1 / (distances + 1)
-
-
-def selection(population_set, list_of_sums):
-    # Oblicz wartości fitness dla każdej trasy
-    fitness_values = calculate_fitness(list_of_sums)
-    # Normalizuj wartości fitness, aby sumowały się do 1 (wymagane dla np.random.choice)
-    probabilities = fitness_values / fitness_values.sum()
-    # Wybierz rodziców na podstawie prawdopodobieństw (wartości fitness)
-    progenitor_indices_a = np.random.choice(range(len(population_set)), len(population_set), p=probabilities,  replace=True)
-    progenitor_indices_b = np.random.choice(range(len(population_set)), len(population_set), p=probabilities, replace=True)
-    # Wybierz rzeczywiste trasy
-    progenitor_a = population_set[progenitor_indices_a]
-    progenitor_b = population_set[progenitor_indices_b]
-
-    return np.array([progenitor_a, progenitor_b])
-
-def one_point_crossover(parent_a, parent_b): #krzyzowanie jednopunktowe
-    crossover_point = np.random.randint(1, len(parent_a))
-    child = np.concatenate((parent_a[:crossover_point], [x for x in parent_b if x not in parent_a[:crossover_point]]))
-    return child
-
-def population_mating(progenitor_list):
-    new_population_set = []
-    for i in range(len(progenitor_list[0])):
-        progenitor_a, progenitor_b = progenitor_list[0][i], progenitor_list[1][i]
-        child = one_point_crossover(progenitor_a, progenitor_b)
-        new_population_set.append(child)
-    return new_population_set
-
-def mutation_of_child(child):
-    for i in range(dirt_count):  # dla każdego elementu dajemy losową szansę zamiany int *rate
-        x = np.random.randint(0, dirt_count)
-        y = np.random.randint(0, dirt_count)
-
-        child[x], child[y] = child[y], child[x]  # zamiana miejscami
-
-    return child
-
-'''def mutation_of_child(child, mutation_rate=0.1):#procent moze pomoc w niezaklucaniu trasy gdy jesy duza trasa ale idk
-    num_mutations = int(len(child) * mutation_rate)
-    for _ in range(num_mutations):
-        x = np.random.randint(0, len(child))
-        y = np.random.randint(0, len(child))
-        child[x], child[y] = child[y], child[x]
-    return child'''
-
-
-def mutate_population(new_population_set):
-    final_mutated_population = []
-    for child in new_population_set:
-        final_mutated_population.append(mutation_of_child(child))  # dodajemy zmutowane dziecko do finalnej listy
-    return final_mutated_population
-
-
-if __name__ == '__main__':
-
-    population_set = find_routes(routes_num)
-    list_of_sums = routes_sum(population_set)
-    progenitor_list = selection(population_set, list_of_sums)
-    new_population_set = population_mating(progenitor_list)
-    final_mutated_population = mutate_population(new_population_set)
-    final_route = [-1, np.inf, np.array([])]  # format listy
-    for i in range(20):
-        list_of_sums = routes_sum(final_mutated_population)
-        # zapisujemy najlepsze rozwiązanie
-        if list_of_sums.min() < final_route[1]:
-            final_route[0] = i
-            final_route[1] = list_of_sums.min()
-            final_route[2] = np.array(final_mutated_population)[list_of_sums.min() == list_of_sums]
-
-
-        progenitor_list = selection(population_set, list_of_sums)
-        new_population_set = population_mating(progenitor_list)
-        final_mutated_population = mutate_population(new_population_set)
-
-    print(f"Najlepsza trasa znaleziona w iteracji: {final_route[0]}")
-    print(f"Minimalna suma odległości: {final_route[1]}")
-    print(f"Kolejne pola: {final_route[2]}")
-