From b0768146408b606f1f3e8d15591fe3d4199481c9 Mon Sep 17 00:00:00 2001 From: "Ryan C. Cooper" Date: Thu, 10 Sep 2020 15:22:33 -0400 Subject: [PATCH 1/2] added RCC changes --- ME3263_Lab-01.ipynb | 81 ++-- figures/android.png | Bin 0 -> 52605 bytes figures/iphone.png | Bin 0 -> 38153 bytes figures/sensor_statistics_QRcode.png | Bin 0 -> 6582 bytes notebook.tex | 681 --------------------------- output_10_1.png | Bin 5498 -> 0 bytes pretty_plots.py | 12 - 7 files changed, 47 insertions(+), 727 deletions(-) create mode 100644 figures/android.png create mode 100644 figures/iphone.png create mode 100644 figures/sensor_statistics_QRcode.png delete mode 100644 notebook.tex delete mode 100644 output_10_1.png delete mode 100644 pretty_plots.py diff --git a/ME3263_Lab-01.ipynb b/ME3263_Lab-01.ipynb index 711669b..f220bae 100644 --- a/ME3263_Lab-01.ipynb +++ b/ME3263_Lab-01.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -10,11 +10,20 @@ "from scipy.stats import norm, t\n", "\n", "import matplotlib.pyplot as plt\n", - "#import pretty_plots # script to set up LaTex and increase line-width and font size\n", "\n", "import check_lab01 as p" ] }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "plt.rcParams.update({'font.size': 18})\n", + "plt.rcParams['lines.linewidth'] = 3\n" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -94,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -122,7 +131,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -150,22 +159,22 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 4, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -197,29 +206,29 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Nice work\n" + "Whoops, try again\n" ] }, { "data": { "text/plain": [ - "2" + "0" ] }, - "execution_count": 5, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Answer = 'no' # replace 1 with 'yes' or 0 'no'\n", + "Answer = 'maybe' # replace 1 with 'yes' or 0 'no'\n", "p.check_p01(Answer)" ] }, @@ -241,7 +250,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -268,23 +277,23 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Nice work\n" + "Whoops, try again\n" ] }, { "data": { "text/plain": [ - "2" + "0" ] }, - "execution_count": 7, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -293,7 +302,7 @@ "# Leave this alone, execute to check the answer\n", "degrees_of_freedom = len(A)+len(B)-2\n", "tvar=t.interval(0.95,degrees_of_freedom)[1]\n", - "Answer ='yes' # = 'yes' or 'no'\n", + "Answer = 'maybe' # = 'yes' or 'no'\n", "p.check_p02(tstat,Answer)" ] }, @@ -303,32 +312,36 @@ "source": [ "### Lab 01 Procedure - Measuring gravitational acceleration, g, with smartphones \n", "\n", - "Smartphone accelerometers use [**Micro Electronics Mechanical Systems (MEMS)**](https://www.youtube.com/watch?v=T_iXLNkkjFo&list=LLaKRw5uXV1fO_c_jxFua8MA&index=2&t=184s) to measure the acceleration of the phone. In the current experiment, you will use smartphone to measure acceleration due to gravity. Real-time recording of data gives you multiple measurements of g which are different from exact values of 9.8 m/s$^{2}$. The difference can be attributed to random uncertainties introduced by factors such as flatness of the surface while taking measurements and data acquisition frequencies of the phone. In this lab exercise you will collect data for two different smartphones (preferably from different manufacturers) and perform simple statistical analysis to compare performance of two phones.\n", + "Smartphone accelerometers use [**Micro Electronics Mechanical Systems (MEMS)**](https://www.youtube.com/watch?v=T_iXLNkkjFo&list=LLaKRw5uXV1fO_c_jxFua8MA&index=2&t=184s) to measure the acceleration of the phone. In the current experiment, you will use smartphone to measure acceleration due to gravity. Real-time recording of data gives you multiple measurements of g which are different from exact values of 9.8 m/s$^{2}$. The difference can be attributed to _systematic_ and _random_ uncertainties. These uncertainties are introduced by factors such as flatness of the surface, environmental vibrations, and other factors. In this lab exercise, you will collect data for two different smartphones (preferably from different manufacturers) and perform statistical analysis to compare performance of two phones.\n", "\n", "- [Download the phyphox app from appstore : Android/ Appple](https://phyphox.org/download/)\n", "\n", "- Scan the QR code for Sensor Statistics experiment\n", - "\"Drawing\"\n", - "- Run the timed experimet and export data for Phone 1, say Sample A\n", - "- Run the timed experimet and export data for Phone 2, say Sample B\n", - "\n", - "\"Drawing\"\n", + "\"Drawing\"\n", + "- Run the timed experiment and export data for Phone 1, say Sample A\n", + "- Run the timed experiment and export data for Phone 2, say Sample B" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\"Drawing\"\n", "
Figure 1: Measurements of g from phone 1, (Sample A)
\n", - "\"Drawing\"\n", + "\"Drawing\"\n", "
Figure 2: Measurements of g from phone 2, (Sample B)
\n", "\n", - "1. Assume accurate value of g at the surface of the earth is 9.8 m/s$^{2}$. Which phone yeilds more accurate measurements? Which phone is more precise?\n", + "1. Assume accurate value of [g at the surface of the Earth](https://physics.nist.gov/cgi-bin/cuu/Value?gn|search_for=gravitation) is $g=9.80665~ m/s^{2}$. Which phone yeilds more accurate measurements? Which phone is more precise?\n", "\n", - "2. Choose 30 measurements at random from each set for analysis. Explain if the sample of 30 measurements is statistically equivalnet to complete dataset, for both the cases.\n", + "2. Choose 30 measurements from each data set for analysis. Explain if the sample of 30 measurements is statistically equivalent to the complete dataset, for both cases.\n", "\n", - " You need to perform two indivisual one-sample t-tests [ [**3**](http://sites.utexas.edu/sos/guided/inferential/numeric/claim/one-sample-t) ] for A & B. For example, to compare sample mean to population of set A, t statistics variable\n", + " You need to perform two individual one-sample t-tests [ [**3**](http://sites.utexas.edu/sos/guided/inferential/numeric/claim/one-sample-t) ] for A & B. Assume that the average for all of the measurements is the true mean of the data set. For example, to compare sample mean to population of set A, the t-statistics variable\n", "\n", " $t=\\frac{|M_A-\\mu_A|*\\sqrt{N_A}}{{S_A}}$\n", "\n", - " is a function of the group mean, $M_A$ , group standard deviation, $S_A$ , group population mean $\\mu_A$ and number of samples per $N_A$. \n", + " is a function of the mean of the data set, $M_A$ , group standard deviation, $S_A$ , group population mean $\\mu_A$ and number of samples in the group, $N_A$=30. \n", "\n", - " As we have several hundreed measurements in complete dataset, for analsysis we can assume population mean is equivalnet to the mean of complete dataset\n", - "3. Perform t-test using smaller samples from Part 2, to determine if the 2 phones provide stastistically equivalent measurements of g?\n" + "3. Perform t-test using equal-sized groups from the two data sets. Are the 2 phones stastistically equivalent measurements of g? _If there are differences are these __systematic__ or __random__?_ What is the resulting error?" ] }, { @@ -383,9 +396,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.8.3" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/figures/android.png b/figures/android.png new file mode 100644 index 0000000000000000000000000000000000000000..ec023295a34c0741693527040732b3c835555655 GIT binary patch literal 52605 zcmce-Wmp{B5-yAk7Tg^M4-P?s1((5Hf;+*J!QI^*5}d)E;2HwKgS!(T1b4S@IQ#5< z_Wkbv%k#|BO?TIls@1is-nTkJMM(zz70D|Y7#MU}kfa(644e!M3@iW{5qgE%D!v2; z=GB(9goKK$gal9p>}Y9iX8{8PibzRA(okO@2p#L#rOHDP4;%ji%z{x9$IJziOVZI& zq0j~6eI_R+3&56=0t|=8hQH<$fO|vG8)%Pp;3Fz2Nsff7qvAp64zRN9xSn0I&B|mK zyg&GQZLnkhNC*SQk*6K(fOEJ<>N0)$~1hp~a_F_o8$4iD$>pTBs} zChb7Tjks<7DOu(B^kk%%(vwmH>z|0Fv;msWKyIShWY(iih4U9DBHEFY!hHak@NlXD zzf;nuza9KA2`EcMcqze!p@uX zL#&x}<9$ZPd)xFJix%p7Fn5dlXPk@@-AoBMg` z4VU?pS2|TtFCmhQ5~nl6J7$g1@5vq;Q!MKW{St0Bb?fQYmhulc#Th+km?_mi(+PQh zmIjIz3B@H7zx$~#D>}^`^_6fh7bI9hm~CCuJ*U&>XfsBpzV&YmU}y|h`IRbPR|zk^q>7R z(uq9UL3_+=^2yj#aXXfP!N46**5@uS{&tlx`@Wfbf80&DHAlUan zcn~c54Loc-4E9+JLi{G}_HS8+&*#H9+ffKYoymQo4#2cNygGZU39Oj(~W7+Q=Obr2%O7v)0sH@nC&YsZ5lc{kOGY~d zQqcybikIi9mB5vSx{6(nkBxKw;daK}3pf(@8OORnyaN;%<5VE-cUzv=rDJfdtMHK+ zBA>6@HN&t4&UI^kWc7w|2vzP$+xYU4{Q-_b3^o}qGV+b&Lhhf}A{u;5*eQ`X1*rvc zDk&wp8Z>3-GZC$^dr}>eK9Xh=c--jrL06(k1!m)R&b*%dt!M@@t6>h(IZ{S4*Lh(R zMx5r+Y<(n~u_mU!IE570iip%B7NYng`NLWwh`&Xf*6J|LlI=&L_t6_q)yUUa%pcCv z+X*%zEya;{Z+z6{v(02+BkTVz`{_q>Wix!Udb4da>@re2+$zkmKV~n(uaFyYZ#rL* zC)y_xUn~)675a3XWt0s7233xV(!9h68htu6tiEt2NvC`U&d=%6`cf6tyf|anlvry_ zuU``}HZzWBW4*4>C{g2sd=$%5-k_09F_$`{p-V7_xIhHd1b5kXSu+%PY3}232i495 z!0&F+Zn1BJsHG;f5=sYD_49NJ<}2J4Pg8Kj1~nq`>OrNVrE0t3lbVHTLjVgd3lWRd zGw?Raw%Jfqij2l82K^Ii_B%Dw4MU^x6u65> zi%A^c9C1+aa&lzY)=fjYx3U?#lO2ZMu9z-b->r@;vy9rsypLMoa#D0E@(AzOiw{7>MsjRlu23@aB2eqO}?|S6>2>1(Krl#P2Bl=*d zNs`%=@syQ(1Nv9idiz=*o+WeFUkB)41+DxVoEnE~mdxDN3}=LUJI6bJKE(v3z%S+X zZG_S+aE^ZpF)QD+Ww2$an!+d+9L3vd8MVz6%0; zae?YU^wy{e-=Tj+xV5cWeg(7bdDmn!;iz_PbAjxff0^Iw_k|aUN1c$H$Cc+qdt!(0 z#oi_Fg{8-wr^prO)yB=iC9%2An@J)hqH6C$?;o8qK5O?a_pIl(*D|+Aw`n(S2qlQU z01YIeSKP0*5O@I?Nc>2wC^ndVfG|WyrIf%}eWQ|>< z7$k=n8Gf{`+}!Oc`rOFQbk?$*4Oo+?q(Qe5hXBqR#M;8?$>H>0s<^5 zFFO$kti+_$+A!{IvidzLs-Dn-MW9y4n$z|)!CV2XfA+LBR`F4b)s{9SqmI=g{jh)a zyKndDhTSi;Pw!grm%BB_rX#1Vgp^mMSFzT<7!CR{p5SVr8WtlIA1Zj|P-GjX31?%c zO(aK*DU1ryYv325j#=(nZChN1S4jQHU$whF__@&YOXbuMh4%ex>y$F8@4JyB;#XM} z?ETEe^g9v`c1H<9DMBWzDc8T9*ART>R4Q~>*g8A<%zlm@PpqMK z9_#KmyY4Sm(`6>g7rGXv6y^-iTcr8cJm>9&ow}6nw+3*)4)|E@8|?32?;o){`jeWYOCTj;I8$DT%rAbJYA%mh)bK!d6`a zivYiG+4?l7t>kgrdUf|H_6Pa(SZ_|tC)cNiDyO_1woFVRzoMiGkG;U1kWIoBc8WI1 zu4(YXHuxNWhgrtY>FMx8n!NV8=3IH@io=TiJ10*i!}CtpyVmE+^S9}5+14`MzV2v^ zR0=jFIb5%9EPJ@V-8|a&;=k@Ys`mExP&re%HQA~|pY+Nf>pC9VEa|_# zUwCBC24#Cwy!Mpy)#d-dq4PYlv2dFAE$?UtH5;=XtAohv{X^Ig<&xq1_PcH69Fc0Y zeoV}Ef-VX_^((D?`xU`rH*y+mnmB1Lnf}!@@A12uW12^^o#JNYAhVX7PdVkCI=E3l$DB{6z2< zpoB5ig2M{^kW4+9TUaY6&`qHZ^Olq2sKhs32hGXwPP1?r3Vk=5GJ- zMFd93T>yG&Z{chLbho#2a1wBTNBy5C1fb_Hm)WU-|9QmO_8qm3q6$#L5o`hEVdG}w zpcZ}w1OkP?=9U6#lG6VbhyM4D`h&CcM*((rH#avnH!e0uuoXKeKR-V^#~b!HZ&;yE zusV4-IGeb$Iylk%)yUuNNLo0VfvrC}TRS=cU)nV>b#!rlM@{|G(LaBGjnl&2`hPt+ zIQ@58&_KT_qMb+!%snqjzufPG2u_UNP#g|=HR-e5sxxTcqA6J^c{nFHCmDqH> z+TtYB>2#cR{BCC?V|>2WjK;JZivxfLEAj2W2P!NFCX754(9QdQU(RI(*34|Z#)$x_ zsU>P?YVw1p7m?K@WDP1@e?;1%z71;lS2L20kz``gYHDhb++5N5wdPL+OO5oC<5=LW zDZmmwMwlKeRXyqI|GM3i0k%BRHmHk+s;R4!bCy+9BzqlqXcMsN(jt*N$CLTqY^bTK zZVX5qmg5|MSZQ^M9pC=_yH5jEJUlWgYK5JFK_)RN$v`07Sl8w=UNRoY(y}NDDX9-| z7HFQ5mewY~{aaVw7MTbx)St>2dRQU|kd}=F!dhF)p=p=`I6ZGR!YtOm1>{Swob8oY z57}0C{HB#ddx#(bzAG#&JUjM#)}wG=huxj4&Y=rW69$mWn+C1 zfJ3+BG&Bv~0+?Q`2VoAacL%Kq@5Gac#ou@gf~Lyn+WFn71D$PmvfNTldO~Hjv}Ort z5%RemSA`Zn^^+I+JwHu$c)7jr^lp)#t2L9^9nTAL-kto>z@;N`wxhck_b!z^j{8Yp zRyIQ4ZN=rRkJORx0r(jbgCR`GUK=S)DMashhWzVj7`2E-*@z)W*ge~6PEnw^;e(2M{evzGY)L{%ph%Ox)p(a>T8UN1EGoKqvq7K`_RR! zSi#K9>;&KO_I2D0c1Z_vycmdz7DX0EjTR!};o+ea0-^wY`3B=+U}BOd7%FLDZXV7o zk4i5BQEWSG{6b@(|GeV1HW-dgqtCB@j4~REP8v*klZeUG{(*;VS6yALFuzV*t4e=& zG>M^1Tq6)7Gl`^{7mLNEkw5J+Q>IyEkR{*(4vuZk&!>Lh;!vm_V`*j824;kRBTE4| z+agjMY?&$7Zu3@s=P3l#36ToHK%Ly$*_oSOvoQ7h`&9@4Nau=eg~NUkqudpZC*m{~ zhT;p8ZElXlJT}Rs{v806K*f$e!F4tY|F6Y7i=k)=U5R=~{8ArO|n7t^b zwU$3g-go(SL~G)kRU3AYiG3DuDf2%4L0C7XB-r8{AAE7)EWo99G=5^^nDBkGC#z14=&I*FD+5)~#kkT?NQqc<=iMH2 zaWz#S!LDt-hS@N+DI|!-Sx8i)taAQ7%q`Qj_^vUF_ksJKMIkQ&NT!Bs7yaf zk(^fhJr0)!60L{({ob`Qe~8#zfr)#>#=#!tH10ebVg_%75Vpc*@8fd5eh2OaB>D#< zz=`@hi_-EY6~rg`0`0q>{yaZ+J?|h-R<#}N#U@Z6*7j4JMHxMO$EI4-8kn3?7GZt6 z;+#aoKhJMcu#NJaXHI_;!shpMof8Ko3cVF@YN^ukKt-z}-VgxO=)k z-tNU!cIJ~9K(5~y;Tm&>gx)2`<$nD4XRU=MoVq+5ufQo|6z+B`~M?0M^?YiD;q&qVzca-$Yiqk3E!6 z}LOsL>S$>Xl)&ZIxNuGG20dX07&G$AuCv3&Ue*ppy{ zH&VvA$IC5W^*y#z>UuB)`OX3$5WOY`@IZH1^OXd~nBcKc*k;B1ubCPMb*H0($9$Ir zR|;EElD|Vq9X>WHf&77QN~SRQ)?vbU5_7pm`FgM!G`xBxe1TP-R@ z(1&}*;>=$ff$_8uSy1Lpg7#SUyY2Ha5x1S%r9i%?wdcniV6Ep~Y4NfL4d@~g;V&-| zASs#Kh;JWFLcRUXop=y|R|bm)kuMxO5z*18$N#2)@)1;|_~rMc@%Y2t3g`JfE=essN{L*hv<+NRl3>J><3H!&NIkkv zND&UoGGx(qJwG02={k0f&Ic_6StaBU_|GA~doV?uJva)EYkDw}NFCcJQeZ8YDM3ZA z!&rk+4}eZ3o8MLf|Fbzk_o(<1XrawcN*78;~fdZ^~leWp6@QkC6sJ}UfGPKbHvql4(XtHb>v z3Gimbt6l{0fD81*0MAHbo040VHf+p1@x5U4h+yl1MWIBC&(;aEOe7Dw0Th-Ipc( z-}7pEh{XfyLq!)r+d##2R9HIWoZf~M{FLt_Z^F@dH2@&xWr6)@Z;cOtvyk4$9g*ix zykc8n!QmMZ(-H4&f^|HwcTUf&o3p>oCY9>UwMt&~{~e=&Q~)HBu_c1=6hRI?0o_;; zVzww)RMX zZSBeewoSr!HzyOX8LosdJotNnlKkd6qgh^w6#m5?hz=wQ+ zALmV&3foriiIknay+`bM*qw@_v3^JnP^149vFf70>5)v;Cq};2<{=)S@+k=l6hW4i zfSbC^FpUd1Q}#W>l~G794f%=LC=?$HjVe}3cj74!PzWs~qJbagPjc&mA!4BPg^;pW zb-gUyXF$>3c#;hv9PyA|>#oNur!uj#fD2=^W7+gI=_Z7Hsf>8OJ<%*GX`;pFbtI9G zg9$9RSnQO3tBwB{SWhf>C6R_|)58kk6Ac`Y_HTV=41Hs2C!eGK`5Oj>Z1^K?-R{*xEh+FIvJErVYE0j2T2x7b2=K+;26_?sqG1GE0QG z(z^i%1OKtArwLDbe%E^U4R{)~(}bKOK99tyj$S$n4KHX)PCpJI^NTO`MmLBBAWwDsF zdlDIZ3BB_qU+4x1wjzAmZ6uuM88Cg5<;hP5Vk&XjVAH$9ykL;Y&ExqT{UqOkFg7Z0hiSicGa2GNFgpaqs# z==iM4zs4!7?e=uH#y*TB1TxoSnr_O%^!GX)AdeMA4aQL>5`7GG7L^Q#XP|73bpn8J z?$>|Adq^}kBT|3=pQnKQYB#>VcPQ))P-Y%s!w#2}F1k6Q2NSdt2|en3sqNO_6m@9Y++QoV(Y0%t=W9iZBV^}Bq6 zlex?6JTMN3Xk;n7fs9Q`L`#kqUNP!>*f1y1v*sRDIb4JA47~M+slQrB!Reb;=(4hZ z`|ISaO{cHCG&(9K;!%L^M0ky+q!d3)b2YqP(H+Ehc&>H`=DNq?2Vqn8NcvlM9r+ zzhMmh6Z#kC}WEuMOs z>t?9ssCD0lpd?1q{m^FCXRA7_Vg~4<<=U0fricO> zs(j=ZQ?(IROieivm(b7}OA|MJx7Wi_MBRyc6k|^i(Pgp#@r*W%)qEK939{*3UlwkA zo7Z^`2=GzH0!oYwm~t-2vv*8y_uEyg@HK*1m3VLk1XK-Em)Sd?aY#7I_0i#Gt$0-G zKa=l&)tb`e!EX>Q4=`;z{Dy*cw4NIJer{f>M=)QaBaw#9ICt|Gr&%9gMAWhI0FuZk z7xU0UyB!IU>{xZDSYkVn&B*&S!mmBFpEMd1t=G^07-Y&obK);Fy07N5e-t=@f$e7@Y`wBkGE)Iioq z2iN{OJu93_WGwgXz*?$>?y91M|4y_Ufs%gL^OG0D;5E)x(YBqoBQt<#hbXFM;s-m$ zCh;c%T>{uopduIs>~)z#bWzVSH8L(0h`n9ava;hjqMD7&Nu8{nVfZo^DR5sdR)eBfG_656zN;=pKfRr2P5$LhBkhU9!tU?a8+|;=N;c<}8D-oZqb`p*hOdxX@0f z)7DYjv1{-vtFVztfyaxfl_+w@@#lvf5rft+3Qv%d;32n6tWLVia`Pv))#p5+&gR!s zi12Z8Q;nUT&)S+=BB)P%pKR@U&bPul&+bFzeo>2x-0ln=pJ&&P z*CD&3*hUC>Wv8WjK1uR6+Ge#!!xR$C)gN?N20U}tso7B>_FqklpN?F z-ngF_FF39}nm>kKI^;AA0i|yqx}U-uy8GfN*?U6Kojkx2h)6b92^?ahB;Tp^8d3GE ztc_o#`tB37@i-*cWXX!0CYJ1eg&aP!a0kmbU2}#!o#E(qjm?VxqF!H%@Rj%DG51$m zCTQsV>~XMgR?com2o5I7x$I?YKM@zByPA||Z@KIO$}Dq$oK>n#9D}9!8)cRiR;y6X zf;=m=j|~$Wc!whx-^)i6BHrnr^=BjVka?{80vDe`%w|b?M!(y|?zJhBxMq`L=y&7l z7jQc2u%(vKVdutSolaT(`4yB1Nv%M#5c4Dv_ja%5Szno*oN=r@b0;LQWBKUQCm8Dn z(T-`;Pq`^%bwS8vM zSTI(09qs{MBVQP-hAs4fqLj54m}8`4uxfhG(RNX1d&6I;AjMRGvQDt>xyLj1cc;Gl zm}{D`FVOeI-zxGnnpjQ9>cDYqhviekVk6Hc|3-_6w71WudQ>8f10oUEUVRv)@4V&< zjM^sALt1{iZYHBKmloeu`k};+@uLC94R`N7cV@q7mcO}KCtDDlXgn*bq6|!h#|c#? z=q%cqmwd`TBj}jj(&%=~fBJEE7q!=YLIL^mX>3Y&F`Fyvf>l0w69T%!9m8QrW~8G? zF=X~RzVL2+J^+r1OsZCCR=HT9XuE&HyfNklbWILc`(83@Gl;~bR|CD>z8&nLcBeHn zNKDLOQ7Sa;zS|#|fI2O9v;J5Y_RoLz51LPrKYpd!?FqFz{q=(fr?YRzT)Q3scR@&r z_ySETP5l1(Wrskp>ax9FRBCcc;_L~+bbHD;k~*xVWcv^e>&sG}dQUjE zw>S06>qVs{JA+~u;WbKa(aAw&#xmL0c8hf-U`>3)XY0uZ((H523Okf!oN}~mMnt{4 z=$&Zc0!mg|HmF8?wsW|$TihuxB9#HTHWF#HvyDw_vQWv7<*TP??N4MHQ)*wOId3YmOpT?;{*eoLg#^qmQ2EuVPD|Yf_+{| z?pAyq1*@M>`dp~K^@?d2PmdfMYI%tPCBV}qs-xvRh;z-b{prpd-$O=ycV93ds~n%% z!nWU^ZOKZ-T@WJzYnOhe&%Z608T}_P1^{%U$tH9<-Q&-^A1~*4Ttz`{!Vf1BO%F)c z;rV3(Uj+2pepC1>GxVyx{Uo~PSG^);)Kq^an-3GUr-S8jn+!kNpo+568 z*Vi5KDkUD7a|%turbxup4?t`>OU$(h6cWbj8fI&2=A)GwSvLO6>=9p_rgnSL$n!7$ z3rGP6eP@6?Vg=U94kbd6a5IRKnCTX&G}%r@wlalb+1A+7?B6zmGGqavz<8Cd*P!Tp zW=f48QaR`S(vd5FH8@jQ3%2fT#Nera%9ajT6BsN_-no zojUni{$F$h3ccsXP#JHP#JH63`~${t06vHMClnNISZR~~)1oNpi!ABBif!!w6wZwf zOCzJ$Ggig>&kO^2Uu1b_^JdBZ=5oGaeIS98j{O{(V_^R`GC%}pj|P>suaKzZ{~OwX z4w@SfO~!*R(zf_N4J;BtWfyhAbe;Yt3ZR3wMkeC7A@Ox>_}^ISIia!*wHOV*|H;@x zMWZYuWNmfZNHFD?`BRl(AzFfDntgNh>p%z<;W=g|kNRNrE zqGHO>keo@5ik23A0tlidAozbUtZaZrRDSVR_(6~R!zS{8Q~YJ?;w*@EwIL56!Wk<| z+sJ2z;nPyb)uMde*RQsdg%AixRW+gga#pWllHB{GTbv@E9rb_uF-GPF1Q2MKi)qCl zvAnO7bZFTo$l$gAJo1@Go?bbdMdYR%b8E@5%cVEM86O|N&h=2Y<+$_S9LimtUCtQ| zLrGA2cto`L?cp?eFt|=M`h{=<%?z`59Zbewbt6$G2L{5)bhgu$Qu*tU{L6l8$n_;# z$lrr{KTPCHfuTgg5R{cU4o9c8Y+7;s55ok-V43F(y(-bj1*WkJypCFAq+>|vhSONn z@_$kDL*Zx(C=?BbLi5AZrRoO9FVqlt#br*mSSic=>ESkz02S5ew~pBl8<>9arTM&1Pa}gj*q@m;D+)hI=G93 z>{_cPJ}hn{70I-}m5eEL3I!$a`dy|nBjX)bl$9Yx>e@$5I{b}?e0QiQ-Y5JtqvEDC zD(9K@p18I=8#cWB+Ee{uVmw}A+#`sC;5=j6n? z9i9z>P}1mY68$H%1V%>2Pp9*wd9D(2^-vmgaAd?eIGhkMbYTniRu{^N(wIWwm~yUF z3^;Lv8qGy$nLu)C>TF0tmMsu&9kps5rRo5Q)6tkWwE_VeHPguG2lT189&X^)T{3_ERzv1Bzk}W*amW!y+saGAk zV~~9>D>=lC?WFxKZE}T|oXGsqD=JQ6)oI>H7n;hr7d^CLqoZtQBow3`vx}T(UF-Xp zsYi*ZE@Q<&eL6gfcwxeBQw)~Ak(yvbG`JZF7UKrucSGM%V#Lc-{7V&jePQt~li`e^jI-i8A z1)4lb&qq#J@*}0yhR=W9Rl*)tmuJ@wp)*p6cXm&GZC88Vvp1}|mMK z``sQ-n|4YTx#iQU#N?D{vB}1dQ>Fri<#tQ)6KNhTE*LW=d79LQxN}CCz-nTNiL_~j ztB(2|x5Q_c7kcmBGXpjkuDjPT$&jXQ&QE^@S^M~Qx93;y@U7nJSOh2Yovm*2Z{Ge| z>A&Z=$wU|~aqQ~6>$8zKAu*C^>?EIn2BP_!1#vzCU6(tLsWdVT-50vS`=rP$K8-sRUUF(+waTZm6km1A+Fya&H|M^jLWCX1Q#I&_ zYewD8tye*F{cW>pn%crHSy7$BI`nftnA4nuE05=Nts5xam7t6|6|`1?C)0o5Gz6Mu zX~5+Naeshv0!dv@m(@ohBQfVtMrmk}A?E-h@BO3C%r$#G9AFqu-=q5Wq)yuZ)8j#10guE_@gILB={W=?Y$Nuc+GBMs2i)vbuzV(>l zd(A-I^R?XExt}QoPZLz!DMej=`Qy<@@f!`fdzh8Nl1^434s0n)lDeS9;9#5fKs!42 zt+9RG$ZL$jr9vv=&twTg9jRwPIeVTHiXgJvosp!1#>Lgfakgwm+WHGUS?dT|ZTh$O zPO}6b7iaDLQSk@}TI0Uo4K1=kop#^~cHi`v(0MeZuxQXf0N%Ve9Q$l5NqGnwrTsCS zZ_qJ{PUYUBqwrq%dW?dzg;rp1Ig+8virB1&jnLR$qZ&7w{ch>dtG$U@unmHMmD{Ca zBoSYvoWs`A(sJpm$^+5;n1uJ3hpkt-Mq$JhK%8Sl=e4CZ7k{TuOD8$oG+?(gqvsYWq--g0lM zPi+!13Hv|k&vhz~&4w9!{tE0r=zkRs>m!iU7ljzK8?@u?If}IT_{qRSx;T!l$7p}E zVE+tJa zshuA!?$(bk-P{Mb`PEdTJ3oa3xP>Ki&UXs-x2I%wj;rHRij_(C7j6b4o4-K z_nqNI{L%Z<-k-QtCsMpyF{8l9rgce5W{pd=$iYF%A!US=m`spZ$ZkF~^j6ONV^=uZ z2wR%)EwxXp)?j+J?ktlFzFIQv+n>tV_$;!NDfB7(jryAQuT=(KhbwdYPV{$XP0YC~ zczgOOc;?LJoO|4GKea0lL(i;zNOELOglu?_aeSoLPDf6k&d1)LkmSUTz4atj7;agw z?cyaO%<9`ARKQ)n-g%teA!etfJYL#ArxqsKx%TmF6b6jlHXFC}-g?WDF2}iy7N6cq z7hliaoa>S8cMNm=_@Z`|Y7 z);;VI=Go3Mk@Tjx^IiU(&A?qg%4n;uS&u`c6Na0eALPBaQ~6ur0XWzk!r|$$aa)#9 zB(3T@h@?m%B?WRl` zNlNX0t>?>~2VVElW0{;N;UadjqE?rniYtDqbhc*7EXN8b7lY#|8AqSa?n-6c5q2&8 z6K{#@f~g+@^rKf ziU#r7qxLne$Y@ovEn>=W=gKf`fm#{@6K3f*1{U?y!l581bqg&q(CV`xuG>tMmNu!; z{!+zfeSovXW#G4Z->=O!2=uAL5XUGW^$5B``S!`J88^fOo^PD zRQx4giOa%*>Qy?Kw1UM_kfub4%@@d?>+PLQBM+58Rn=zeXoAVb?Vsj9=M()dg_z91 zi!bs$_wv`a!f0j}dKK*}KLSK1tRHIETI=9E`UPTRQ4L97+o0N+7M8QK&3YI~w>#DT z3i{OjXsqYmzShUgaCG};$4)(G<}&lP{ef4@$Mgrn)V=3y)5>StK#Tq%Kil&Qj~N%A z6a9~CMx+&bmFJ6?#z&)$i-^?`tB$H*fUVgemSx#t$MxzPt5LF+%~(P6HJ|I0>dw0% zY!W8qU8<2s%PKT7?s3J<{;r9Wjh>Y>)=%+;&=QLg?D9hSG`W`qxpESU!Dl@eK=alS zY>r6|QVjTGAPN{^o)Q{ze;@$3ZN)EzACZWK}l4u`rTl zFoX;WELCu`?38?R#Q}iWM^s!EhpSUTs#G?PKS7(kik40;PWNAIWchDBCmaO-T*_q# zkGDr9^BA--sXvXksD=L47)A0W+OEOhFybFo>@UDepRxG9qQ$p_MpVqeSh&c zr&u3errjfgE$=TH3lzFxGqn-Uu80$Pa(|0J88JDKK(oDDoI~(HVE`?G8>NTCabC18 z=4Zt6O?Y5woHOz>pjSu-Vv0P}=-B`Y91c>k-iknr?na3r#0LFs2rR2Fi7FO)_{6o1 z9t4gwg&<|nPoo}Na4=T3wvoq7p;-)1?;xbx_fI%YY&>)$TG$RV-)&rSz@63W8H6Mhkfhu9 zzgTpga92*jIkls`?CTHTxl%PYN-f$JVkTj=nOO<0sqLUFjfNRP32~_}5z6uD>&LbF zmj*U>8mv4v#y{7UljG>9&1F+u>ykd>qN(GP-iu^sQES_y4P)LX53!LCZ;#}KfK}q~ zZZ9v;ZdGD>!b*F*t9Td_1C3wmcN;}>r3SGJ&3545w`_!xE-N(nTrX&Y&%rC6wpbY$ z9^?=xt;{pT;wnr9<=xnzrD)pA^?nC2Kov5xkr>)nK7v>BJAc$@pm=YydZj8N>Oy{F zkmx77;V`?2YXTEwJ03W!Bs7cH=gHF}Rmg+=ZD|APRfRZmRf!(9YTIL9xwf9FlR3~e zH5cfYsMxU=%|m|=g>HQ$i(XokgV_J9M8GRZaQfN__vF}8mP7AxP zN=_pv8b&cH8d}Z39@JDNFpshQ%V_J^A3lMDAxMm)Q0ndgc|1w^-R^+At81g4b82LY zwuYCM^dunRdpIc%$()IM%p=zQYICIRM|c?GKs=L(*ew)%3J-TPsmYgm=ztt)-lEHjarGH{b-P_7E-P1=$eva_OtV%z)WDo*Zs#d^w|h|2vRYH} z=?C}g1|{>Eowhr|V>o=9-LS+vAvKAETN^^($qMckut8$xVwXlNnF_6!i(;yg($7Tg zSKr@A@3$LX+R=+eh86uFg*!wIIFyd{U%<`313G?al_RiN3}xTC+q2$54`_^p>3yx4 z0Y9~2q-8y<*uk_lY4C~;f|G77KV{K7jkcS&6Q`<)ua<6q=w16o>3Qtu4|Q&yC`!2+ z)VVunmBjiSoJOPa+N(BOm(S1035I2sZ64-%55LY?S{&_lVuxaz>s@w;x>y8X&@_9b zfJ3?1MU3cK9EsdRYMA%Nyo-o*#D$(Gm+92Ri>l-`sbSl9y9?mwvYKek-RLUH{Z!=B z$uxVhH|ZITVjY5pE*7n1?xL-Dr9Gf&+giA?rmp7#QF=cO#w@{7LD)yv!1l`V!;KvC zAxAIm0RYeR(|x%3f_8`P8l*QO!_G6q$Lt5(^e?mk*I+2v<~qGFt09qFi|lUN`}xBS z`)9r~9Yh!A1peX4?a2({v%<1+#C;Y{%jkyil~^3Ane_cLRI1B3NK_?LOaO-z(jNIN zZpjSRYg|y@odf@nFGsKN{ujJTx75r6z;31q!W+J~5*X2xvX%qu0q4M&LP^VsrAz`ABg;38gGb z#+M~0h@?QoF8;4dS>2-_(#7+tfRC$*Wo=zdtMRrK|HhHqC%AT;(_b80oVK ztdZ+!0KYo47O?@)nSR3x4}lr>uTVd$#W0276u@T5Z`;#J-}`2>9Xp^69tjMi$|^)5 z>cn6k>^n{s&Cb%H6kX2QEq<>pxle!^)>Eu5+DAmsvRW?b@eXgetu1xHb`Ldz+r=C^ zrGOk-=OC&l4#hh4_7rWSsKynLYwD3qEuw33f{0ugQ<{ET4Rv!(W^RDlQ;2p)d}Os6 z@XN~oP@WD}in7JT6^NA)D9pN2+`bPTd7nU!^vC)6IvGfXt^P9$8)Dg7%t9)W%R@E( z%Fw71MX9`;YCIBqTxujfRTR&ivps+KlXt6Q0@{HtwWCiOUD$|15{<^BTK*(trktme zeip(hQHK-jaek@M4&ba_6i%?2Iy{I^9vg(su^bBXk~Dv&C_IZOoBP=0ldg0wgO9}f zg23nc0BaEVzguCgLOwyl&wu>+=J9}W+7s3A0&jmHMb_Abs{%#NmIVPVixpK(xyx)b z6x1RT7^L~yF!uG#)_fAD*WWLZ2XSJh_av7V`v4 z*0PAyh+0<3CP;KCH~~-!&QoWp>4iPDBqVa}sa2xL#Jm$V3521a72HCrHT#-hNx2IdqDOVsktnZ2a}XjOV}YL02Fs*vG0mvS4FL{&q5Nb z^It(2yGE~%nb?r_SQ=@Z2}tFW?R;tIjU_7Npt#;R3-Yw5eXT3;Wd7Gt0r{h@XWyO5 z&wS5j5pmE8|Nr25P*Pc`6<|{LLNZhm!e$$HCeCVxW}aT2+n8}N;A%G3XD63ba6O`9LxEiGRF==E~*b&8a_=TIl%B-PYlA(y-PrTcaY5*|z6&>*x z4&yp5qruOxJ+;$`P_QOL9c{#`{!FSXVMc6z{g`?q%ECsF4dk(^k48*DfeysIObd#b z9@Zk1$o0Smh2ov+K~c43-}}QiAI5<)u0SEDoe|9h_d{*U#C+e!yTMkMee>J1?Yl`? zH=Ls1m8sj7(5bNo_}lbNpSytGNiYm=`Mi~TPUiO5SaIgRD#RO1knA4(OY9==p7?d`$hu`2)yxJ|Lua22r;98)9jb112gK|tIVe|21Xmgo2)g-mn`K+5emafY7+}WgXcU?{oVvvv)G0lkHddnM~;X zuJLgObMlKEJ*H|JV!!3CX~R&P!q3z{ZhQO*`!_WhqyB8e@2_FJy<|Dpk*3ud(c$PR#zJa~dsyM%JTjJ5A`^BhMrW9kE zKx0?>X2!o=a%?P1o#|a`*hTB!)x?pr%O@N&eQv0n-9peIB-0?G8(VUY~frb<8z@&g~HkSxvk=E8144W(R}M&VC*(&>9p` zwu}tcYGN_D-l`@6VmL+VTmt^Un`nx6x-USoOgywURDTy*@2*~pApfd72-mVfFpsM}%j9uiNN=T31EtSSKWa;%PcTDGu>hxHO{>^L^ z3Etcdsq3~w%&*Si7b4!|RXDsly$gb|v7`OsS>{wvC7)7k?P?Hr zAXR-W@+>5uy-1YW@&D0u7Hm;5>NNZUmH) zMq1ME@Lt#V17_yTKIiQH>}TC;ZAg`4qHksmB5hR}@FWiYcclkFYg(bl|9KaH`|D2H zzvtm;XNT&-x-|WJc~o?Ass$&S!&-g{mk6eY>FXQ$io za%+t;D8~H+umAT>_#@aQ(UM81WOB>Cimt1GNzMw;LoOF}Oct}^!rf3UP617Z&s?d> zz4m6njQt(L8UtMHs+~5iNjdvX^G4EJ0);RV!himD@mKadF7Wn(8cS8h-P%f;+N9I3z< zN9V~lM(uY1$zlMTuvD)xP492Fh)32$~;xlFB&0xA9DM&W#C@rteHyOm0+^j zESH;5ZCzca`7+fE%I5=lE*t3AYLxDz|7I9-+CUweC7Eo^(iAqJ#xcF|7xlC4$a#_N zAj_$l?x;+5dDDrCsw48w&qosEU!?JLzFMQ^|E^vwZ?5f)4Xfl_i8dO+xo&b7VrN&GRICf5mqT4ojvM&)Fxi}2-A4Vn$Ug07^1R>H%zcWNhl6udkHK^x^H5|1+TK6T>x+ z;3`JO67$G0sN^s;T2H#P$b(Xf;5A;Td=nk`l~ZO+)mz-E+5*Uwz# zVH*2Bdy*`U&vB=uaE_?33xb~+AC*ev5@MOsCaTfyKS-7uUK%yz%uv(VyVo>VjOIBQ_fWh1?WgOzk#BuB>bMbNqT4C z{B7@~5DDY$&k^kVB>&AWuQSiVU-FGb1Ru0$20kf1Ke7xwdta$B7m*yB~CZh`C?mGmTF8Q|r7eLf&$baDxzw_j*E zBvG+U#R&j+&dZPIk;BN=6=JqUZoZXbd zy`8ly!Z0T$=R?XDe+0K2UEmfCt~qdgkT3TIm7$i7bc6^iL3uhk88r(mOs|gUL~7~q5$XsEntSpqtNu__6_N$OKYM>{@{c7~#FLOt zPB3?{xwj<4_(;=vMGkig@Rr?AI{WX8EC7^2b&S0AICTUW&9aeaZjR@sSA*Ljr0|Ro zBS=P8f>NZ_QuckBbZptfmkRu*hwt6kITri)^WP&%qJHpos0mlOe*ZT)l}xHbH##d9 z`(AUhBMfKp$v5C{4R--wv2fd^$BSEBmlz8jk&2>ci)rbB^O95j1V)f!FfjGWpn_tA z-43V#NWe7|d0RU0sXl$JKMXw=4I?>NGeXZXF)2Ke7AlvRQv?K(@wr62v)-Iz7?=om+8A{GV^e$)5r244^Nlts;C#*ADEoa$)bI z81oLGI-mqWc?p)AtNee4Q-V7f|7~i17=MrR`F|F`e-N%Z&qsL#+kEF@ahvrTX&5r< zUjO5`omP(4TUUaF6(SSu(T2SV|2dm?;g&%+`RD@CmC@16*s$_Hz5+;b6Q~<_cYo!+bjNFPSXgnQhhzTEHs(nl@Np zRUiC!s<(dY*^h__dc+fU*5Lj*mmRzCBV3qpIKE{6XZNEo?`Ny~uLfZE`-K>cB|~o< zh;R00P}pGwn~(RSa=w@!osJGngypxt+c8ru%;Mr(NeocPD>OhWvn%AV@=o5{*!z%P z=ua-J* ze5#9due1r7pN>FPH>~XJ3r#HPRjh4nmB(u86?fJ41{?R<+UXy1M>9}qF6P4tp5%#S zccGUwLJc|%PhO76KRW7_JXC5mMe0}nN+z~*Zb#H_S59Ya3btvQ;eOm)C&VLyjl{9Q znI?T6S{iWx2oE?4DPGD*trYzUq|qth#b*3GEOt3UyFo=H+E$n+#U9Q+y*rv>_4m)O z+F}bU3i1duUVcT8yXjmas}s%$YA8~&bgyxwgx*`rl=$rNl(%!Gr6mf0bd}2+<6WoU zJhnILz<1R3VU|YTm&*M4@y=6jbr2vU0A5x_Dop+(&x*%KfpN+Q)CyW?Q{`N&;SqeA zWW7xLJt`wUQ&gRcU8C*}%^WoLI?`X)E!FEvqeS&QQp}Tv4YNT?XsCD;eHZz8Y0R6L zO~C1ZsS_&>qz!*!a8Q?%!$xngu~`1upHDJc%a$G493QLf@QPOkbr4CJARk`>$f$6+ zkuHm2pmnU)){>W}ArMAyu3C~Vp)7KkV$OGaL!0Ov@znkBL+7B;5X#*3bviw2Q7H1H zet_yZP=lM^Nt)Psq9&3a=14h*v-A$E*6y>`4 zXVmSs4xm|nno`rFR8ZG18ETtHerPGJ;o0?=#ITP(T{HC#uk_@)BfXS3l zj}?j4=pxlyAukN3jKM36(|F$fZcyJND9#qEc}28l*_|{sNBp0Hao|!GADOo2Wc~k;${YbkT;N znOSQKd2HV#t^22O4)cg~vcCI`G61^muA?@NA zlfgOm&iY5GZ7$$&{I{ruyea(5%@tjj%wY%bQ8Y!>_2IkaeGSP6Pf(>lBcgqs+Q?o; z$D-wf|g8PI`_CUEcRtrv7iVPW;!46v_qN8f&}ki zT`z>HmXncb^CR_m)WD70yrfVm-)VKu>JrE<5FBvfOxpHU{&W7GCisyL74Bm8cgXjX zH{0Jjef4{4RE(Zm^Xx@&={|iFxAx=XG~VrgZk|IJ$2#kby-BF^xfYs|M~r0H{cyBU z5x?;85~ZN+dT^u+n~IwoV3A<&68H5@E)f`zGC48xZ1Qoi(epj#TeJf-O^6%c@BI_@ z;i1WR>WbJLAAOMKz@hyhjC3AH+LOUZVZs?fmP03tI2Lhz{JZ-b8XcdI^rqeqz1kcu zRV0N9C3U>wEDL%KeXD#kO>$<$3;$LpqXi_KX6>(~S_E&WK0onwvv{))mN!)DGFti8 z&fLuK%trAuhQCcqt4T*h-?wcz%PJf1WnAf6{HrD?tA&YfHMxeivAk%w!va?|U#lym z=zSZCzq^#w($T%;FQUA@qCQVkrrzJuzB}o&AW1KTh!~@}Xk3d$p|z%^L(Y3zspYCU zmr-eZbp%qxHPdUbEPekh7gp<>L2I(7HCq1!zU+*~5PF$cTGd)^3;FpV#-ioCp7A1O z(_UeeDW!<8r;omnH z3mbQ-s%_mr%*mQi`kmBaJNc3HVCGqf%lX!{3@cLZbR0m>1X+ySHe<7^nff080F{A< z1*2^XiWtj-+|B*tDIt-ajL~lp<*{#do357t4M)dmTpO=7xu3uP@n!L5=!cw2i=7uM zhX=r+xvSIjpcQwo(lyvTlB9}Y`%A!ajkoMf`0vk<+_z|`*gUJRl*)I1YGuBVnw~aT zgKq87{2;g02CHCYT$Tpbx-N*=zbDtSWXTTAXRQ{i@NOliwk*<#5Q4OvD`*TB^TX;S zet@PYjCJ85$_!^7SrF@EcU@MV&-w(c%b@cWNLxpwik?td)o^U_vrhw7R|+;un&bxU z@*?Ut# zpDC1<9djKj98B7qiI!gq-xb||RLQn_aG#2gL~Ly2u9JQz@9iDGRGimT%M7ZkJjOZy z*4R$4hFy!5P3M@cI=E8Yy~!2n! z<`}rOf!0jPy6pakW#OP(p8zCMb>VR?lJ-X{Ri2KARvGz+gVu$*XQNOwtbf1EtaB{S z)0aQHh}ftaeI5{8UNAyl2FV#t*{MMyEfUWNdS1gtpx+>_ydWvjCdlN;(e*byK|5TfO%s{Fc zi(h_6LYQjJyF%ZzUwxWuu}ghfkpHAp)&A zqx=M^n%g&5ki8RXSr@}P8X;$`bl(CM5uYR08l~xWAIZ~HUfY|xa2O{iXOQTpn9>SJ z1@+&#h}#@TSRW}_2mdMl9#T>lY(`DmH3_Tt`~C(xDL|Kl;vLG+_E1ci?JX$s3+7kT zJ~(;q#3q~w+*<&U^|48fGvl!=EezsL?gw8!kk*ZhoOkVX>HfRx`RCpp^XeRv*QJui zA;PHR`VxM?X42gy*Dsx!Q{jbsf1Ih^BydT#~z%iDdJOvH?+)bgwSRmj7EFelL zAOC79l!Lq`c68mY*{irCk4n}=q#lIss3rmw@s{%9cN<)OaQP141sNdeQ3O!o)JBG! zJzpmE^Wp@twWMObMjN5a1stxd?|m)d5=Arx`^*qEC`+2BHrP@-s(Q7qIF*?z*_^Le zdsh0sl=2L=QZqC(07~*px`@A$d;#6eGx~+4SsY7)Z^dssZNUkY_VfeoCP0%T#VzS4 z?*kg4)qkvj2wXFr`~uQkUo{t$^ED9XijUXrK#kEoXyrAuWJ;R8ziA>WPx0$x`*7~J6dHItfx8?Q3DTg#H)WYO9=Ij^&7#rEGdNL zBiA^%Pz+_qY1}cK@svvIejY^+1~7x>HLDDxeW)g_T2tEUS>>-Rw|b34YsM*;jsKj8sz}J0 zG=L>O0gk8e{UiCBaYZYAwFn~V=eC}BE3oK)d$Jl2;#){Z=9V#j4QA3PS*!&AgeeMf zd?SOpNS<5`BqoUz+r_paW0LGf;C@~BOYe+y1=?_iS!(c{`>kY;2MT;lh6$Skuuk+j$|`S*~KGFYFAG8i6ao~b;1N&O1H zHmdexRTQ$Yju08AB*~eLrS9%dm_Q})gP0qAxen6_f8D&klF{D=rt6u^lVxka-ay}4*#V&yiC0u z4h^*A-Ost1r98bmb_)ffiN#5@8kW0}yt(d`)6PmXY1LlPvG4iihNGbb>-!#`pp9#@ zw9qt@ccF_u9({pqqpMsR-t4SNTE_}je#WJA7K(&v{GW4y?rC^$i}b7h6Id`OB^7Ff zZC}PE5_>aK58uCO17vgcFZfu;;+lg4T4dds%c!mR2H*J_EKFbWB4m-nMkY<2PyI6w z*%hs8oR2@DdSg?fD6k*;oldyfz96AN0pdPNNiUa38*h&&@PXA9;-2lgu5k<{Z^DOD z;maaRrjKw>dWy&Z|0dD_Ew(v9%8h#mR-%a|?J8>PT`+=35Xgjr-KaiEx?BToMzl(9 zi~?%up663%0D*eTM?2J4Hxq&l89G&%eRqzi{$}P*ejh0~_O4Tm&^{MGQ zEk_>!y>IvqaZ0;H60x^Xvjm>mrKemnUG|qf^sV}DlGGl0J3@qm2z)=}x*0H2eywr_ zWocao)_Gl0e~Pz)%p*rZn0@*s+ZzA^D5r$IV;`M(7yBiN#7yyeJBD-YFJ-J}a&d?| zi>L=k{C-pwA>`yWi$b~ZRk5c9VJ7V_m|!ZJ0WUZo3R6WCG?ZS?k7$qEQJjbESbpzN zqN2F`fy?||^Gpj)?+BFv{b$cQrKBNRVTGeC?!(I$J6bu%s_YuR8kC@S$&_?b)%dgE42-@VgX|sDlCxSMbRvMcsqs$&aLBT zV)RIf^K%#F;@cb&T(|x#@MZ}$JuZdn@PVf4cA@zS$x7jNyefCMUWz`FI*sl>`5|4J zYQoJ6D*5W4%%(}$jU={x?YUk_Y8q;ulnw*{CYdRX+ev|~lh~GkS2xBZEmY+{k|Gml zhN~Vh(ArFMCO1tlbdwq@T9wI~~?ZQ}>7MoTA zNh&?pJAOns<*m{-kfA!k{Bl8i4fJEj{$A|lLL=Qrf5dV>tI=a3tya5w9F}BsAX-FV zk}|xSeKmeho|Ut2k}Q=H$_Ijx?Y?A3i0z+pGaqwpGT-B_qAUXo!Q}GrPz^%s zjZwHaCfLl@KblRXA|e!>wPfDM9;y(<)8`bnv|OgWvlJomHoH*Bbzd+*7Kn1KMNFjW z2}QQ!@rSwsjDb(6h1~OS%~v7r;*+K23+`)k7%_ z3b}Gm5fokI<_mf<^~IKC8C6Y-^KnmH@EV#symE(F@!PP^qiQR3%J(J}W0LZZyhhZ; z%>vd5j%o3KT?Q!_v<|VgdfcIW3wb_gLS~XW3$`&toaq2-KjKwB%D;ZcKFz=q8>-KjUziCs223R7KD z6(DTIxA2ag0&8+62CR5^L6+|o8tAjbgQ00-8t_WZsH4zH``2?l02RPSGF8vh9_NOe z|9gwa=F$F+GYJK|=<&At`WfZD9w2kj>d()`cL%um=P2W7pvDKkn;fBJwiujG2&c)pG@N$s*@b(f-uS2o)pptX(_Jcu2 zqmdOb7r0aX%)vKHolK^FHLwAmL1dR#09RZtks-F`D|0Y@p|{V&VcACX9UJBLGEWt4 zfXM5|)B%NMp{`ho9dlIq8|&_Gcyzj=@MXn>V}?DUQ74wx3Z)_m`{@XU#AHR5k^;|C zD8&!;OA}rCTq69DEX`&_EkmWwr95XW`^Ofk-XvO03mj;ks87eKmX47Yk1KnJX*wZ* z(HL!Wz>wx{#=njgKiqq_6+KR^=8?bM9SEvW$kJ +okPWGF*i0Vo+=htG7c$hl` z1lyeg2k_Q6P49qa1&%2rMr4QTWa(?NHzWeKKi7mHOTGXagY$7WvYHA63QolT^_;b8 z`&R#IhwS1c1&QXrLUxyvm4o)J*i7;Nl^Qi49y_V`bTXkV(M7mlEu;&a5Ht@ec|>V1uVNsJRldmz2DB`GHT-!s zBPfawbKI-$l2LMW;KKyr5l-ZTEL-8U0G_Z)kpPi(f80Rfvg30RcRXRo=Z`}C|9tM} z>!tMmc(qKh5*-%bQQ*;aW~`lynzK7oARN)lPin;OnWHpOB0#Pyvc!yb%#5u56krIk)#yemx=YX|0m38&Lcy#pgyUcIb=pk- z4R`IM`TcZxz2SR4>2#gYFM|yH<2@8Or%lvq*l@SPwa8Q=j<0h<_t}6#qJo0vq&j|* z`7=R9x3pIh)W5;l(xtFku(k^S4wMlctRNp-FUuXLZ;|Abf7sqb1riA#+tay9u{s>q zJj^p;usNFe4z?Rlx3XVonI;|3->80dAZrV<^GFwv1hG83Eem0sMJTW*C(-5htWXJ2 zR;LvWT$Qxh>)*^#u_)8z0+-K)B9S<=c=m-XNqkc6dm(9xm0=G}yQfg#&zrQZbBq@xnSSLRw!gM`Oabfv1-ZY

q5Vip3p%~1t>+gYdUb81gU7$)pwJZ9@hvGi`qiiGe^i*@GlaO65t$&e@=tmwvJppa(xzHQKJdb8ljDEHnOp@O)+g>CKia@TYM z4D4IE;BaV5_3K7Z!7_0*ojom5b3H7nX^id}b6xlbB$lK*TW1YhbcFpo-l}|qVy5~X zO8S77*pWU~b!3Upc|v-fqpaxU=^4(~7KPG8;u6ZEa1PiU`2~25jJ#Haq)qK{J`RF< z=E{hob2?N(9sxEbBg?`(r~kaihPyMJVAVBB95EX_l;0y%UYE{?p+g}7f|Q~FPzSJU z`!*v599Eafcu?MNUse-Ang0PM12`*Zl=y6l{Sf-ZtT~ALEgpeje&z8yO-;?VJ;k}X zxgTQR`y?oy{+yg%S?1HL0v}=zl8BBM^DRl3j2_vN#|QgE!m8gcOQSs;UQ+q4tsgAl zZOrVCo8HpaHLK)Gxg2sflr$uhDh|mx1^29j^z3T!yL%ME9agB8F;tVE#g$UtT+%jZ z(}O)oTkZ`8NmejW90Xialaq^%Rp>__ZjKkt^1LVJ>wy;kVj}T-SJ%AeAFrXmqobqh z&I6*BfEvc_`}gDFlCsXbWmkkt{dSj z?@M3()%;FB4(JpvsOx!vKmpv5ImW~L{>1kk8kuC($42b>=`tfA}Q;~Ml-B45&_MwU$WP3JVP z8ncX?7;YA&scjdAF5yZA z!{x0WHA{OGc%Dif*3iNv8}Gv+{ol=%Ut9~ z+Y*_M(y^wbT&oe+@m=iV#kWoh=}(_B6%ySlduq>gP9ajQiS(DjhMDxi!DfXUv@=D! zD13U7l0mPeg8xN~iJ(CdvqtGiz1e^r3a)7ILgZfq=L!Znz`fI!1BB1kHols3fYgx$ zS{*=*FLOJXk$jDa%2<{qGNNnU^6yl<>xIW20j!eLK-@@e4v_cD?es&Ci1JC=Zz516 z5;T9;m-6$|&3EN#p$ivNiBZi6S)5{dYPq98=Vp$*kH03^GCLS(4i&OALuR{RKMR-{ zIuBzi>p08JqE$ z&AL@}K+RsG;^{F_4)JbXlXhL#LO+#^8aFsGH8pia^k299X7+WSQjXwk#YiHBnS?SG z=23l8v0UXy8{{=O%|?6yU|ZV(7?Auc3Abfr%z!njNO8OCZ((z{?I^~h=!2?VK{rc4DA`A9B`exTby)=qVMMz@!k;mY6sn*h{vTb3x0m~9^-5Rd=nUR0 zZSdE-`w@yO0(0?7161lvr7BsP`*Igr#CMtfD=fLAN|=s)8PTB`Q%fIT8LX~)wl&GB z!R+USDOt(rBeEfZ@bq^;B;Y} zG7eH6>)31~xpC3r{lf3*C>1juH^(_+ajri!L;nkN_r5uz*VEH;3IGV_culj`&|Op! zXn(NO==gXFF0Gv4jwAAL>D}Aq)5dABsgZS3kIsqHX>D4V?rZWdcPFcjlE5(u91bET zUkaZr<-ByyCO4?cPTD}x<5#;4vZ5tTiZZuq^72AH5!e2jG#dFQAmsMlT{b_YHm+j| z%TZR*Z^dGyUAk!#e{uPc2z7<`_C4l>CA^OkO>C2{4V;|vLi=$l1l>(x76S^^8Wf1U z?PeEKsLkSi~7a`tc>{Sz~RVw32@Y7X^n9iCCwYBG-zrNz?ee-c@-eUho(vY8o zo3v~)ou=2A0#(hA^yeL(UYg>?f*lqc=G~0@=5yy^kxE%knvqiCga-E!p25FQ`e>jB z@QuY4NrA$@d>R&OobdgVW)*n4)zi}%^nQMygp!J*sTlNuYkaXSUf*(9k zQ$~V7F5T*-&DEf&sqRAol&te@nUokuX;lJk`jXK&qClnA9B zsFTl;fFr1o4=d+*4;A7&?6bnMY^wRyy;kJH#CnAEk#Eo_^a|A7TUkYGQj+s5l{SXgHD)vTA3w>BFi|@Smm?uVKd8(uVs5`hK%K6Iaac!amh4`WjEw_73@KhRdp_# z<||ADo85riGAW=$Zq+iYq3j^Og9p!(68iTeM!d}@Tzm6Ot}Dm*_t~@wU()QuN4$^r zjo|yp-)}|g*u|vKn&6IL5X2F+C2fnwb*memUj^bIhNwz+sSbGMV~x%MVV+FDzSSAC z56#&5F-{)FLG;s*^~AY=SlM7#@bCEM%Jjns(WB_)TRp~HTJYsjKl$#+A!0+ohh*R4 zqdbf>F{La`Y8&N)(mT?ZhIVf4z>%_p>IwQvZ}8%?rZT=b`&_VAm9?$@nGgBfB$UPO zQ+qVjuw={4u4${?NW(pPJ(8Z1>ydBrKS{lvUb>vErbSaFLN9rxO2}sK?aax=+vgs)#B$5Cwt{WqDS|hk8mvKvbdlke0ie6gebIhDTM=n^ckC#wf=baG+S-S^xb^8{s}s%bdVl!7**-Jo-N6+hOA8 zw)bxpCNmyqKfefdCxv5Eo@sxVtjFn4f$hbOqx5b#N_54R>&$x$pA6#s3MyW6xv{y= zvJ!97h>N3q-}}N}wu1GUXA7%ZB2Ue%H@jboxEZT=*s-~Z$MrPjXJF8KT8_)88}{FO z1hz|H!$qbIrsEw*LU2QMNOjCu40Ar*1=~JUWObeFhK(ID)eX{ig#3q0L5EIyu{L2k zm&mH~(sDxyj+6zK%#wiP2JRre57}v0GyK06cr%X=@+Ax|s42yma?zssz~((wFv(Iw z8=&rqbO!-7StDZ||$Nr^v-6e8~<+ZBj2a12!!2xj^E@1Jxk*9^p&UktK3g~D)c~tmJ`uAkdfp%SNz&sEp}$)&>^Nq zK!ZYHz^cMm0^Nk+(Ixs0vN*=xU`Xk3{9}AIG_jbQ z92GNGuSA9&hs9$YC{G8{XBuG=`BgT<^l#V@`2_`~l*4J|VUh%5k?4L!L@HYc{0X64 z0d^E-ujfP*BTP{{cU{PJ0((eIad}X7?YCQfBFeG^fWqy7S1O5AL^T&x&XX1?G2)Zw3U6J;38}HstljyXp(3fcO>+{Rq^=LcfPmDAk!myOY z1T(ABho($sx$Foqgh~V%OTzk1M?DZ4)LK1HvSvH}zSCKA6|tlJlM(G;axVt=yYVAC z%(HRdq}r%cQ7;lA5E4cw#hCBg;6t8c;Wc32i+B6q?&-?o8!)&c1SCGyg>upx;eGsO zfTt2mhFWONI@>X)apd*DkSP?O*Q7`>)Z#N7IK(1+9FEou6UXL%FUH;EK1vmfW9R6B z^8Q!V?GjZDgiHEE$5qvT_VkIX;+q0MG`!6ns}(CS+P26sEswVOvgp{qfyWycvEFh< z!L?J-iLxc%$eE|5uKBlSkC8E3gYxc2*UFA*?`BNjwBX14mqY)Ml76|tLA5lelGi`- zqFm%3`6Nmw1w+^Srf0R$M&#XKB~J@Nl+!&d$Q<5ay9Xc>oH927CNx*Gf|H%`t_k(~ zSuqS%_*7m#Itg7C+77>|Q#0l_jd(&UpRdrkgP=rD|O-;_0L*E-EvKTbI8SVo{fTblMV2(Lu_$toBZ210p{)Nk)r z&?^TUFTB9y0xNNuOt;`*Nb494M@yOO^WKJ@)I$jfXv~kWD3H)c`|Jjd;5zKjig}}r z^{&G&i7%eDX^fo3VQ;~OHDgV3M-rF<{4(I|&~K9Sj9tLpd*q@sEGGI+>jwgkS4bka zv1Uu}Al>C_Ym!0QmYd!NanFZm45Z@m{vGGZ^j&)YpuKXK@kMMG!)voX6~AHeOCWTH zo^r6~cVVj^HPri&;9{MgSB_elnpLq#IG7>*+m{p$_qg__Q{0%-@QB{jh`g6rUG?zR<$|Vnuj9dnmWE-qHzRj7KEYEmvEh$WNLoB>0idw!onX> z2%6ckp;!I9lEECvQWN|w_DwQ~8)bsROc(>sSc~r!CccLCg`}nP-PxYcJ>SQRE?`T^pmpBtD7teNx6EK_XZw;!u)}&$vUZ!qP5KR07jn04wP)WE@onqR1)OH9ZY+N`;&cRw)hu(Fl0TIt;w0Nx>6 zf@K5~yxg**U6W)Ncgx=X;U^7-yS`g{L&%;bs!7`TSSGMSLA&Z%Hp`j$qnE z{r1h+4?*SvkL_T1P>nWc;Pr)iarKjlmiEP8$fKQo6#GW)NM0rHx)Mr-3dx6@s=t7I@!s_7QYFh_aC;AH;_11A(rH{iZsXn}pXcpZQ!WO@BQ$jvwc)E}%cD;5 zrOvxK7BFoexDj>Ra58lMGSuuFw#-WyeBDx8H#g1Qcvn2vEzmtmVaO~(hZ{H=K_q-* zn%-sRu zCX-shI#U6^lnC2G{&5D8{&R{o(V3RbqZ7o@0F$HsjR{-xqrJIDo5aQXX7&Uf-x8IBJ!=HBCRs^6vA2G9r)Ln!`iK&tith&9G*EN65qr zhwUsQoP6DhuKjv^bz|v6=<}~hmrgIUyg-dAWlCnPpt&#{CLE?jQba>n_3Q;FT93nV z)GA72^WQ3QtGddd@ z6*tJKhacbbGCplJ?xD&tB1Ma6BTWW|#SwHA(Xbp1H=%pHI8Y?!np~W^u!1oZny3vP z<8ALh;U+dZXSG!?Dql5zC|~KmQYoxa%aKN=mwl;$lP_s7K|{i04#mg_f)j%L)KG>D zmy1$RG0*-wCs>(OZa5}2a$b+EZ9dQ7Tg5_;J}JV!%=vn&-GE!I{a8#Mfx}e)RRb80 zxLoN%e{!b4X!hFtt=r<~Lhm1hLAm?EZJ3qSjqA5{UndvAIyGaBzqdGB{PH;6kcx|M zhNh8Zn5n}z^4aV#vFg{O-m1VMx|G3CAv3ezdSeQU>%tuV6}tCWVf4BUVaMb5`xxS9 ztDmM^!_=}h&01fTKICXJq|U=9^aBe5{Q)L7cY;Af_}By+NfCV_hc+W!9FENl1>dG!=)a#$bq>hOb=Fa-X`GBcaxCL&zEuM^Zu~PV%;gf97SqUTdbE%= z&|OT=occ8yUMK-0Pa1w!xZnSs(30 zKER>gL@$O99fA5%6*I8dnq5QDrZbg9zz`V?0nH5xQ+Z0jYH-^5n_zuPgg{@}F~$Mb zUBi+4Uj9@AQ&Yjd%9+@-=Vb_Oec;GpZ3Ri>ThS;#xvpjF#CU7A_ORn49B{UfbAud- zK;@@Zj0Rx>0`J%2JNos3W*UodaV>@MgVra4U9D>_&Et&JU!vuzK6lQIQR?keEI1pR zv$m3&-Wa6nZDil@uXuIDSGbn?81uBn3v7h&6^Dxi!3DwDG6n9U1Xu_fO=eK@uP_lm zp~8Tt@y~yah30;8{kq}#8AuK*-Ml4+SmhHNn=-Pc$~5aAue0+zJ$}I? z`*N*82$Ni9D_HCN`gnCSQ;Zp~qNSqX)TE}`e7!bT9ZUb^!Y)ht;L)7cRX?_^NK)f} z%w6@vJ5Vcuy@i3gd~VG;ri#Zyg?zaZiX)^(rDp2L1cLxaW%m8M!YtvnEi>$4?TbOw zd#TL;)vpBDoUQk$Ud79`%^?(q<~~@?P2|YCt3nnEi}B-ZT)fkHennIMKC<7GH@U6T z+SX8jtpL0l@B(5=T&r1n07r_wA?KvAWf+e4GnKBK`L}Exo6$kE9HLy#YR4 zZ}JOGtDb}5dH@{>?^P-`ov?*Jun|E(yMB-Op^8`6GZz2%8r7XUq$+M%E^e|Bbq7zI zUA}s}MBW~UNs8WBtaGj9>2nE8dQQ_+bv<^(;Asu^q}UH$YY|qiFX)tD;Jd0-Uq?!; zf_!WY1iN7ER!f#&ld#G%DRal-(A-(dzmiu>;_&gSjJ#LYr={;TcISO9F5c~nww=LU z-mAj(0+DlHyTl8MV(GB3;Sl-XBB~|ueYk|Mg4G)1=i&_}%W0~J^(=>C#%iA86j=R> z$1b-FERiudn;2E5TD=xgMb1Nf4cJVZ>K@<>VaiKH5^l+)QScAIz(p;jEMR)sl)&f? zui_o60;$K%%WmpKxm?8tEqy`49f~ExpsU|3g1MU8NXY z#8+Car-+FSj|f~90%ARQ`}gVdwxi;Lojj3VjRa(rAHMqOMoXK!Y}i_PkVVAWN3s8U zMjr8Y2m8t)-fd4h&Ht)vmqlPTuoEX#fiyVVuV(@%e#8<4It17t$jD5U>c4OE22Uv$ zhE7ro+4=RxeX$qq(rwp{1{Ppx5cTzQZ4x-y>Z^Y5uWPK4?B>q-vM%EB`o2L_YnuJa zugRoF<%w2~O*KdlE@IbFG+%K0`O)VvNQ-~FU5npNvnq~s!L$tHLzDFI{(3|*ooM~L zt?6@YS>-sH<%VMs#o4h_qf;*%+;!y-zRm z-=T~_JK3tjyKPLsyY0sN@GJX&RGn2+RB!*cXBc2;5Jb8p1*N-YXpnB{P!wsTdj^nF zy1PqKKoCSi8l<~hy1W0I-@BfJcg-mr>{)xyzQ6Igt`lDqrr`Kg-R>fTYW@j(L2!+H z^6uwre&x2=G77W_3c)aIwljb%;lZHd8(}y(Ik|!ADlbQCo6#7-XGx#={)2PXb-vI2 z+y-S-oZ@|n6UK*WmMq_%{_QswD>9SX=IhKUWoA;RIS92+&|aOJkJdlZd4Ep7$Fr@p z4YIPvL#9T{#1Jfh(^vUI&P;5eEs-Hs&%2o6^<$jYxJEm zT|WS8V4K^{zpX0Fei7)af~1DZ$$Nr$LGfKQevOd&i>bHxKDU@q=f-wsa-`So{drxp z3~+`b<0)-yoFk{mw^r{?{4%k%Y$|W0nwr2K z-^;0VZCtn;Z6a|#XJthVN|}T6c7G>=6Q0Y#t0jld%Zc zBWoYMwoyNTFvzd1g4EqdtVzUn8!^MiqklftYnbhTYPy-`pjTRZIL=Wf6ZZpOIKE^XVEnWQoeCg~o~MK33xeOH1S z#ZQIkk80FXOw^ew3jWkC-!+obUH87Mx(oogZS%HS#}AZQeJcL(`u#wLrQ?f-D{%Yq z`0(ANwhaF#)LRu->EiKs|K5~E91Q&WZC`tR~1VebbRAFiMM=9;y=<`5hgTgT6kpg>+jC%&*~Eim2l2VcFr@~KdWQp!@Nnc zq5Q%LRhv^CWU1CEqbyF;KNz9d-VJZw>rWLJRQM7hxPme3xl^`RGpgbgL*Eir$1JJeE;N$0 zQ~qn9cG1`C2B0sM6%=#=4IPeIfM&4gkIh~QK=XS#QiYrf0MH7o3eYr80}#?5v!2C( z``D4+=h|6hD=#)p*#4~rk!>Vi3z8%v&>6Q6rr0TeuPr)aeyaq+0e?++Y4t;uq-Zp1 zPLL@eJwA3tNAFoRD(wqKnkDpVda>GkPhV$`FZ28oD^|;t8%4@VA2`Th5iB;(Fv9dg z4IfB;Y%*PKHfY1YRb~%w7hquYJg7M~4)1%sg;Lb4-qiN9U+EMt$P|ErpgT!e<`Wwu zwd1)OD>;L^`j$kUidA{Z8M&XU?C=|7LF2vg{jOc?oMLRvSfDccnht^#Zl1%LBYlP3Uo@{HzEu1Nk z3Yt^XejiUT=-ACyJsDg4h{Ak$`sXH?c_8-vBN5FP^C*?q6_U$bVxq`dpNk$IlS8D`#A^ ze((1wxx*SYf$5n+e>>rql6V1}F;`HBhmPTpIW`H2o_LuFm3D?PyR6yufj?~9|3ZdU zi|qxVaQDGQQ7K*u5hT^0*!BP_h{un$8bVy=4kPBH%6CU4!8N)x$aD2V4YBO@h&bfh zxIw~nO{>PFg0yi~e~IGaH?3wC3hn$Co+UHp+h5GNzs;Fx{c$Co{#^Q6m^nq`L4P8pP}yBuLD{g-I=1n_`mk&U;-Vc*CzYb~%y^a>O|Gbpf6?1%7HIbFKI&gvHix9} ze*nIa|MWlZ)2_3&Wu>L1^ZVViEP#%ECT2cSm)#nypMu3Tj8Bl@=qSQnm+Q!bc# z)TQSs8raq6_b2mofpY<`^qfMn@5QghX+TiFI_9Vr@15hSoJK;dfLbz~Y@!?BzR4gM zDX%e#QX9hmRVf*Jic)*noSwH2ZkVb_m`UuYS0yat3JVUm{gE}~COpkXD)?(}_cf<-%HS)%E za9&1Hfj;U?3KlHTWjFpD)R;rnV7${e&*4ax>&y2pcM&Pr*e}Gc`f?m%DZNHL7&9Wn z@KvEFr;nEG1(~J=bLNx9uGMJ5Le!>Uor#Nv*93`~wah&PbsZgyz6OS`@UnPRaC^tc zk&N7H3Jo?_Onu`wMRV`wd$^RF_Rf?irt_^Uq$s#%S!2Bg)|Wrh{`k-!ESSJzvLdni z&M0J-3sz-2s96(XcpM?{-z}&m0z0 zn4Y+!2ke6H%Bq&eKs$K+*0w}7!5(>ieO!H9w`Y)rcgU+rbt?dw7xrD%incf7gXxSu zyT29sH_zu>*qIHiOf85=Cay#vUDUNh+B!{Ap&7h?Vic4EA zogAwR{(-6*EKK{5P;FNV*A@m;NLdHj8=}fHjoj?93~3fMm1naoZm+8q+sQ|l&E$z* z84ka$`xdVotz(ccUUS@}&0qdqV#H?n4Hr6b-Bh3?l953X)uoWWH^pXhZ){r1a|lZ! zGL?5r)ZE*b;zvx~Jbl?vKSze`#@<9JvD2CBiJ?NDb_MTz_qO!Mfw=Z?K6?c#Kfin| z!`QQr8fSkDp5JOIP%yntpEf!-_VqsMveDY&a*(F)!tfeZ7I5hteE_!SZKf*C?DENC zvVoxMY#1?HX->``FlnCb6!VkY*EIkQ=BHq$?{zWpvuCx62_Ss~o9~~MQ+RvaA4hti zCsv|b_J(g$YpljunbjqIg6}lqXu~zoUg=e}7vB|akRzWBPvAZG(d@DmkBCrG%TR0k zWv1VxOjhKU$lJ|)ki_C46F@tF_X#0bQ>3@VWU$NUM9bg7JjS|uWFc&=I9L^NG3IS- zZ|(Ai{~J*y(wwiX7dl>--!T0RMj!cn1{9-$iWt>mUp+s{-%lH;leu^eU7v<6R@7Wq z>C9S5ej#SBs1g*evs8OlmeR9kU2LnV7;s%`)i=r7=AA7*dFkWKsyxJ3XJxJ1!>+W2 zbv#an5;!+{4wK&S$T-(7Dc8@pXHa$I6O}ZfNt72Z4A{^!HV(*Bi`U8exkrWX=rb*x zKloB@?oFxexm|b|n?mX?7Nv?^pX#uo+QaTjZLJQg_<9NDZb3JXKGY~CPMDX!JSI%D zdeooEXV8|HR)EH&klh41>28?*$=_QBa_6M}{HQzb`rk>kf_e{JYM!D9QpXYpCr|(K zwH!~m9FH-qPL*u%c0hJKr(d!P5lwT!`1NLuz#ro=miLW$7oER3llV#QD=O3^-6=Z z>*T4fiej<7Ra2NMp{3U1(D|!1l7{oKY&_eeH{m^Q8u|93_%qM@;a+=-#d}F>QihG+ zbn4G~O;~dT70FJkP=RmZo=uuLcYYTa04YK7YTtjyaxGJ!d~McxKhQuYI)KMs-`f&aXCwmXozi4Oy4oZLTf}Z&KGMM-osAxnHvw0;#TfbCMhLQj~jxk_}jNy!b(ck>!XyX zg(2>8NiaFt;e1RA?w5ATcqt{>+Ylwo`VxF+$&S9aItyc#g4sr#B8ygx(N;83-qKXb zWTOi4@!_MOnU{z#ki9z7JbL3|aZD#9zx6b|N3XCKEr8BQFr^XzQmu$=C1 zMSbi)qDyzU1SD!D)64O9tFY3MTjpnM#_Q{5+GoG79^dv!WGC9=YXA`3VTy9;^1R#W zTES=@D&s#pvvzlAg>fhrvM?nj9eE}t>OvRTR1bcb z%Y0#C3a@p@=D$ND*zvVmqF%C%*CJ_K4@MVvJ~vkGS4KfwY4h&itR8yi8J|$4Mz0WH z<9KD)+2^rT*mu$%yj!zwU^$fIFDZooR|op=>M5}`oxdoL+xaVa_4l{r(si}=bhv)m zB;I*!spa;!v8r!;N|3_BU`u*##}l-*ME0^o+zr&5P5QE1n{tw74bpFUZD9wUy~a#s-AnVCSNW!hbtHIZc|J`>EBH;5X2TV zl&7l)KLd{iqCX65s}%{y;ajSi5V`Hq8Bnp<$LN&5ilusTs(2&zO?An~<3P$a&60?z zFG%C$wR?m`E8F&BjMg(}%^(@>L*sIlvv`se+f1VqG;bNF{K3%+k)=$R{W+%&WzVEB zobt+s-t~bHZ}U}(=aGaz*0(>#?>JV~>ZOP>P+|1(1&0e#2P(<;>oxt@6EROZA0^@> z#%~~RdGZoZie;5cqCnIO2aqU&pHq(=>gDTnLdaI!ha_c$pe*^;hxbBqBS(rP-g@$t z-f5P;2-Y#LpQxL74r2_Kgw_gElvhUzVrxng zp$(NPNf@x6aL&vll6hT5{_`|$W`V^;J4<*^#^0%@5X#8& z+ie`=mTkAAiQrLW?2_&`Kqqn7x5-^TH=Pj%@6{c!lszle_%QWyHuu!gM@B9(Vw$63 zf_qN?NOLc{YzohV8HyVET{~FO_s#0|!o7cVQX|g+BR=-^WOjnY3vzB$ z_=oeuTu+W+TB9rR{qAV4#DDm8@3WD|GH(QA4_sE2V@|Y2(5u!;uJOo=kb19R6u910 zvR|{PdipN+(kIPoZhv<>59*Y^ez04cW})SMlfHXCi(mOr@BP`m<*yar(8Oo#_IyLc zmfGI^)!i4Xk=Nls_T!Qhu2{I-A+(|MVXe%M<2X>|VlngX_nR59*WT_|7S)UMareKA zAjkuBazihwFCyH2CQW!!TF|D+VCwBWylXpIR+EoLyZ;tHMC@$SrW}PooO|X;p6YEi zqlq{E%s8@x0h9;0vU8sK3#37flMh#I7xmeBfTE7Rg?8Do(TSAX0i!4G*oAgZ{Y>59 z6B_QggO8kswqFkmVIO=s%v%=Kb6R)E7j;X!2cX9R__}x8b@tvtZMF)d@IjK%3BxmUWwTs2D8!W+pc&veMJN?7~;Ma-O?9Q4who=ztD1)~O4eNY8#6 zK1b4&KorG4ML6u#{9#m3a5LafFVo54vhC^*nr^G`F>hn=m?>=1Iu>8Fk9D+@cv%x4 zqqE1Dsj@4jSJ9)<&|}40S8Mg_zJIcB@k?jldSkV7y4XP}&Ir#i`$V3tL_Dv!3!e_X zHWC0|&ulqWg2)*=ZzCx6d5XmY&WI*eFSw+67PBkFK2d!GzmC0fTcl zP*@1yZhjoIO6LCiiDs++h>&OS3$WvjGS%}}DdX^orFoqS>s#LCGb{bJwOgCmggQgL z?=dN?k)<869U3 zGBLi|TDkT*ctO4tI1rVrTR__yufW6hQMF1udF2S}n9_`pvf-zlc>*2x!H>;Vh9tU0 zr30ByE53&k$MQba9gO$Q5B)eM>4lqpz0FEU?_#!tMKatFHrtvK#SboOT3!!#wZb9I zTRYfO0di7|Wh|B2Y>Q8`$g<93lAnx|FC{8`VLPDEgRB$T59ct@RK43;kYftM`}^*u ziG_gtZ+a>!*^t1US6Ml^cN9|>(!cX>#rpBx8yET4K~)=yRR4)KF`OB_$a+m*Ah$(Yv_t4)f=D)Oa@3>$8HG*r?{7~!etoUe_RX+d zy&txida$KQo3TA=N~HmN-gP~^`9;cv&vTi)7VbqPKB1@HG@)O-C^tIsh$VXbRMxa) zoJ_}gby8l9#>bnNA_beb+a!I2RUKyBqZj_|j5<_o-(RI9zLDvZJMR?MET*>|Vh{r= z{(-$n1D3HP$6z+tOV^*%R3xA$YUI9Qw?f;mXaozR1D2vz9QGj_m$EAXlK$<3vvg0o z6#YSb)Kd5RXM`9w-Ag?f00 zMXbH{1AkbVrev_aV|!%;F-)B-czcG#dufDN_*BQ_+e4jKIW{bA)VTS(oB7G_^mD_R z$u$4Ge|Sl2g!Qx|b?-bmGF91m4;^z4;*o~pR>2WJ?%oH*x|B<$ycYDu{M)&zZ?rk1 zS3mGES8piI(jeunlOBaQC+W=)8BI=0Y4uO*w&3t=yn64|Q>UV!B|TB&()-Hkv(Qto zElKC4{jbK>Cq89tG$Z3&p7uV6bo#~(Cx(~shCuj}=CPp}^lvi#ALGtvsMm7w(r>fk$!;Y$Rf~(K=H@}oi^vFS|8USHybz~j!*W+v&~~icY1Zn zURNuPjy~JsI&@qcsuzd14E=OmJ$?18p^65FIVc!@I!{4)6{a1ECqI;q= z+8tgvyATozjc&mEDmp)VBiv%eoZZ#>B%>58PsFTJ1Mo+uVGmcT&^IdLSMSKmBAh2H zexIipxIRoa-;XOeIULJh)~yYbzOVlJ(0sqsOqum3Dva2H)S($b(%`B2yo5%_GON0( zFzOLsWW4*ic(?DC&LtS}T(3Sz1guJWT);!ektgf@lg>FEWhjnj=~;s?pFxYP5wi{c z`qC9zMa&3>?E=}16u$beo2s+M9Gn>rZ`0blGQmt0v&xcasC3B%W0N7W11>1E&w+5#wG_r#5Mua zkoSLNhS&Mc%)2ex0>sg}be9ReJz9*x$)Yxg=RH__c`$s~aiz~$iOCP3U(#Xw%0CW^ zIl5@9`|U5=I&0mdOZ*sT1pgd1Z8lc+&QrwV5b@!4G!9g7aGieFvxhF&B^%Tz5%wiO zXJ+iz!S9_JDXq`H*{_0l#T3E9?tk$P>FVTVjR2u|yixoZpOKE}sm<>jr~R7Z- zBCa+!?09AxO}@<-*CM>CFWdcT(!-U-up&q)1!iq{Zh)(!-+6fQ9}|cb0_ZQ){4V7O0jViJWQ9D7NIu*e)Pe-0#%7{Rg zf-3J{z(uBkj9!{fakYY}(zo(~czYvnC~LbbZRXYA4{4rXz)$0+b}E|pTZrQGkdO$$ zfnh>a0&1F}Mvs#;6O>x4WooPHM;Uza)F#8_reG65Kvn4tth0IF_Q*TxgSt@g%R65e zZ8aT*+fUU2*bVk3b$M!Fu=u~vkiiQCk>xEV;DETt94@&wC0#S(0723hg6;GmBb zjeyuu_m3#y?LKgP*a$eu{YjoIsc|m ze*Siyr$=+&%UPN*MQ!bCuluA|KIMZN$HyQ}K95u1xM$+Vr}e)QV}O9iv}3rpx4*pa zupq$y!wV8Edw!I*wz#M(KI|+$n;~BCibs)ZGGF{--4KxboJz1j)YHHG!w1M($H-mHs?bBfp;fuAa}h`F>0&+V7CJ>U!T=LMq0sJC=g%k8p=#v0}N0bCLfs99JQ=htVfk@Wr}Ycimo&)NQxe zK66)wbFuJ(Vxn9ZX}t*`FN=;FKACgsr8B}i?a?u|`aM(8lNfbv%XHAtyyr-Np`jWI zk%d!*>#)U2b)TU}6w%Ure&8g9U&%m-3s#CRL=-npHeXWXg0s$m#2Vc`5 z2RXAR2hdL&ksg&fIXP2u8{F84+*)zqxE4K2+Zg7)b&9x8Ztij^a3ZPSi;P^29R85z z1pASG^^+2FtY^_lVB}W8hx+&V1|{Y_)!iNMbiKiJhFqr1V6I30g6i*x&a;j7qt?k$ z6Q{q7k%89QsDk#pvYO9sj9bsow-uL(NlzthWYkCa?;ayI>hZiFqCX-%9Jv;_8 zn>+)U#m-?9LgX;dOx~||t6h<9Rw|jgym%Ws#FY8Zn&`^uzFxRg()Hq7paTmV|NGbo zVj&<&EnfW^4JoHZ60Qv>0;ghX&pW^Vx7P8$zXEp6bK%Vpxvda_{rp1ECOH?U9NeOC z;x0^X&W7$AH{*dbvWh!Yc(eomLPwLfm&cMS|6=>i*5DEpW~tiXEV}vneoGP8E&By4 zH;U~`s`*j%7rkGUMCtLGoy}~U!kxEnPJSECycWJ*>$T2=d6f1GM3?_{u%BlkXc=x8 zE>kVc$<43sEV>?D&lHw&{kp~#bdm1B3bs7mbo{>6J4P1!jNXG>9Q>fMFwn6fNBQ+I zV0%=Pp^n};;Qdf+2e!N%7jHYGtn-m%!`u?|_PvCZg++cYjC!Xh(tD|JFcTavLu`W` zc!T>)&Vd7`W{YL^O3YFz^@v?5%gdQgp@DJ5XIYfsO`qmktmQ@cf<3m0*RL&^JY`bfcGq)lIpFzKi84R!o14G~Oe$UCXJ%~%<` zmUVLcEu3Cz+AEdRh+yPQ{?-oaLC{5jopU2jrSr%m`x_$b9`+$tChZepNFsR_7YIXu z1mK`&o>0jaJ^IJCc{a}V|s!dhscQ%kMIP(4wC8dDEhN|KR2Se;LbTyrY6@lQr1ZtmCbpbU<$Vbh? z0H+y-$>A0rot->3dUB4miUP#J=z_-vRh^lTZ$T1+=-HSi-cr>|Q7SQ?o4=nYYvkq@ zD%ntf2}jZVdOb98sWP(O+z_-}D)NGWL2h25Up$J0ik}@H#QrGAcJf&=*#Y1#wb<-G zTf{!Nu0o~W^V!@T-z+{XJkBuc0;n=0a-r~tyTu3FN0IIxz_WB65Q!GOgfmNS98SHB zoZf&vcx;fcO$B>wzZ3t1-NLr?&tUO7;RIXOh5_Snz42tgDU06)aoQ5npXk^r?DX%i zEBv+Z;X|a~ZSGE7{esJ+kL2({(!!#~)r!!jg#>#PcCHOU1JOx%R?cn#iFw`4 z{_jCNp;Lk`l9fw-S)m$>79Kn8OC8B>C9q`|ASl+m4{tMbmjET*uQ9_MiO{b5we&~C zMOOI+Vm@Xn$xkb+IAz|X#nQ&WV&fkTfMPR;hralQqiG8HEDtI;%P@pI05stPM@$>T;21DzrORKguAc*eKBtEgXe{Qk zK+NEv;rF5FR8E^21z8?daezm~^M9V-UY=T<_g0Nzb2JVq94t|Z-mZ`|TLx2p3W@!b z?(hdw1#8no_6+n#J|qfbCF|_r{@@|)!h^Cf!+j<6JpI7COGrZ|1{t>h2b;Y{Jy&iz zTwr1IeI4L!FQftjCFg+Cd@;WI?tIp5>CW@HLhgMSEmypmoX=Y+X88i23i8-)dq`NzCU*+7u3qP-r%6lAx z&jN-YyII@1bR*x6bvqG~JnUT;xwo#YBuF}8BXrgF=H{FEgS37u9xWSoR?cp-=!NK6C zq32ezv7Fov>_1{ayTMGwz7GFXJ=LLT=aBS^$1I zdPGEBrHv1NMhvo8`c0h?+{!PqNXnVb6{BO>!8DylG{uK-Vj_}9c7{_-W{_<~!D-Xc zNWt#`aMqj2jHM3P{Sp2wz}TUrnf44te4`*Zjj!l25S5J0Ok;8E}BVeK(kqcDyrr9(l zBc1;Dxiy9+D-6VmvN^PM@V$$=yjs>%Itk|2BoafCI&Lln-o$F@j?N#2`I^qYJ7!Xe z>BH;xj9}PwSlTN|H%f>K{oz43A0)y#z$}`; zz?nhK;At6g1Hj3l3|l0jZ-(7!Lj8Ih;rB*-WF(85GJ zY?>*C{uwCn2KRW3OrRt$ZhPdxn}1D7RT&bOybd9Qq`Y^CP+Y8lyaTOe;*lnR_&ovE z686l)exx)IZSmYNHeUYuvX60SYiH%kDvYi@=2Yaxna13r`o6x&+l}W|K@n_upc~fO z?0>uVzB#Rp2#!xE0U{)%R@HP5tMNw?9YWmAS3UvHijeVW0%?2l*w8?wpV<-W*1_)! zISN@KGZ)_pjqb= zO<^e>8#0qJT2xFmACZK;hWkrx@%V)S%dgaQ)(3y%(7!Z%iGLDU zRy)%h`mhzU6}1)O6purI{{q4)JOGxJXJiQoQt47Q4Ssi=4y+6D{E_vMl55S1veskI z^}U9Yx6&ZkAnZJ9I)k)ka1<`r-8XV%E5qtHOCpw+i0dHm6~I@HuP#A66ltqRFFdr| zm5+WvbVT?|{Bircw#?}5d?+t1*{uS$>}&}xBT@XZJorA<{vS@RdL}I${7gpPh#2bu z^rwhJJ=46pD=(lnw4GomZ02(-xi2^b{6qfhV_$BvHd@wH@lhWqRGdk3SUuU`2V19r z)}XLlbr#wQj~BBf<5ao_hJyLy4r@yr|59bY(Kl8^`SQe@wPG0pn|bC9Wa%Bkf1&R) z9uu;w)KLAB|Np)t6;RYM@M@ju!iKpvI5{teJm{G{#sKR{asx~&&jQ|U&yH~M2v)D4 z@XZ3RqAg*k_CLIy=nn5IOY{CDkrY2g&nHD6jm`up9_7{eBe`0=T3IzY z&VXVu7$l0OqArI!m&gV~X>bq0#VEJ3lG3SQ)F=4j&zB)@z%`fXm2x70(Sd678i*xs zl41qFqm_jOZ3X`gyu z3~tQ-+rE0k$M(eXHyLgOc2F< ziT+%Y#B!ZB2HWN`O8mQjSnCxOc8RoYZacU8grbImGaR(c;}|8#Rp}H?j<;n8l1ukX z9*PO2juEnn*!=Zo#P3LkdzO8-b8E_C+uarvW zwg{`{F(1m4l4}5oEt65PZ}Tu<6`8z|anDWITs6U(c{mJ)IiGgX#x3QO7P)vs!<|u# zpHzPM^Q<2qYybUaY%~f&VRNAB?qm?QSey>*tJ*1sDW;7D=dT`yp09g!Zo}OZn2E7X zNvW&CFtu?f4+D@Cm~ziE99l3BJAB-`-Ta>jBKhSoM4jGsUk8hSIiMnF&x^#wh;919 z-qc;M3jcHp(1vO@z>A_qJ-`uIl_}^D#dvtYvLx=yFVL~S-)Y&vTvjgU_uq34BR)?t z6t8|oCipyOCTGYBjG)N!f55YM{-WGF!l;;j#EagD)BExj6MK39RLt*YcF|BSocbPM zSUYTOEqSOwJ`kXBa!GZPF|7FH5s~ucFwvR_JAjBGju`2hAYrqX8$e$&1)OO&2(yHz zEjroHkJ&gx4%@<5yo-lItFOQE9)`mU6|+{?sj2uD!L$hoWg_qkG`2C)cU(U&_?6c} zJ)cqs4+)_)27+jNr2|_N96E?~r@GbYsao>;Tky3^Y9wYLU`$$YhJ@2f6h0^(@if6< zE-}KXBt44BEH9i(z?Day1oJQncy~wOq~B-%2I((RX*|+x8hB6L5F`<$Z|JGnm6otI zj9Q*F{_V6zkPs=j`%}@%%}|RnQTY^`bOcrF&b-GEQ$*4VZR=g1_s(s-{5a%{Lh6tK zR5mJxU*k3+L=GIP^~pu3{`4?s?xO4G5jmrSDDqzOn&My{?S^3?@d9o)eCLAiD)qL54Pd#6mdtvBOAfhbZYhNw$U(1oMx%tfD-8vs!h^oVylOb#LI<*1V ztE4PKV~8dBX5WMjTywf6!uLsr1P2IvfJR+?WKu$r!3{)VZy#C@+Bkh%f0z=A>up{Y z+8gg1-9daQnzJZvC7*S`*i7J=fbtz^R#tN-tLERWHTquGYe!!qoEx@#_zfqq4X zhNG%_K)g?Zkrd;P>Fm{p)CYxN+{~#?(;S@}ux}K<>05syIR+o+HH4a$h4Y%ty8pLu z`h}F}IXXK3edqhb4vNF)bnWcuzld81&e>Ja@_xdA<-$2023<4RS)t~TRs^PB3hKn$@NdR@bS9b|g zG;tkjJVS(q;(E~b<7PWyaUNw+4KX>iD|ktTLH*vKB2R;T@etA`p$zzZe2qXt-1;R^ zMe-ZYWa%75il9Wmo7J?+w?}q}-TnE3I?u&;l^~bxseH&Gi3?*uRPBK}qEn8(3-)BA z^ko}_gU4X(1y1|ILSO{w1|41FeT(R<(?o`jrorm_X6N={#3|C}V+0{`W2j3BpZQyb>Y^5o zqyf!^55fq-x^Hm;;fn@DqS}Oo$Q^piX-9~WTZw|4K-CeVLU-9d!yGvoff@3j%A4;! z1r*k16dOLml-NNHH9YXA&IPy@D}3IcBZ~^b2B)ds6g2`&X{DBHUZ5?N52Y zgUF3}V~ox#E^JI*Yaiksj5apZT`wnxFs6hDv?IWzoKnK*?}VRdu^Zlqist_;h>oSs z9kn!7fTd$nfg$o3)^bQ7>^{Pn^|m9Goi-sN5j1#M;jfSGf(7AB=Mc@&lpP_!B^^Kc zd*bh;#lP^K!SO{K#W>Vgrg-v7=rkvtla!FN5e>s*sXdy84G&yggKH1zgzwEJbA+CU zUU<6qMhYILg<@>^AWVE?Ru4YE-FTX{n1g$Gmpj0)gdKs2?n48!9C(6BV>VH$x1WSv z;d5Wqe0R>l{{4RF*)pR?tS*L_DiAvM%;@}Gg-Xr}VWSOdeWE5EOo8i++P+K%Be&(H z>I^jefK^&x#_UEeio7N5*6izv6Q47QMFA;pZhAb+hix3j(p1l~q}OjC3AUCQ9dou` zgtsPd9Dcn#Os|rBBY*`5+_OVu!pD8mCtAKk=kluL?qHZ0LBvGoNolqFFz>Rc7}^qU zO+orFy6B+B+cpXm(GxlnW1_@!v_bEiHR1RR@j-`Op~oDKQw^@rhCEmpS8_Wm>g_Q> z8O4hzHjWUI%kl8Q14*6wj%`rL53(mx(Uc(=76lo zv=}Mgn!*cwr|JTM3{U2ZO2^uv`@hkL`$&{|X<+x=n0HZGuiS}$VB&>+|L^$;p*D5~ z)Fd0026(WCet3_0;6A$iPVWJW7)XY6qxw3$0ewq`M7$=dM)xr?YTVzXb_GYCJ~hoc z?fgxFg&}Pnl$kK?^xjQ`HY6e1bHIydN^UXJ34vJ?x}d5&OEihV)wx+7!+(&x{IO++ z2$XOwM+8+x6D|ip15CbtJqiwdpx5dA{_RQIis8u)X3A$#2pa!W;FLF`7Kgu%j&(|a zMtZ6z6U6a+;O<)@H7onu+9sO_0jouR@8{o%Wm!#ok|aoIKnT*yJ1hBZFhr0?IaDl%w>&SYBbDxnD~B zT=g54FeaF{9!z3Nr}~iR z&i0;2?Vu&nx&@i|EgI$`n=+=hxODs)O=b96O|=(oE-K=~7Rm($IRz#BZF7T1m4Gmy zC9?&pOjnB|-*&o47Akj=j31K<79Qksec20B(C^A?6~x6{0-FqDp|CU@ z6#vJrM&shD5ry^)CUe?SE&J8uIh&vO{ir^Iv8-LGaESQRdwDyI>d>cqP{Y7MWXtXB?B`VDU z@9@Zx}k4ASpJQIb`3@&4Vgwk4bZRUZRy;o&b%v)W#Mcwdy8Vq zsT>NT#woxTJB^x+40l3r0T3=@<$zJPjuB(~Df-(yEE^gK2Hkx1pr|#h>9)&`7D`*G zunkNtSMx~ZOF)$J9BO?a(VT#95b~oWJ^}t;tv4KgS6}viu11uzgP!uUy|3W!{ja}= z?t|_KgowfbYvdez{TiV_mLI^gbgt#DOu%)THoe$3F}Cf>bZCT-?uy95$^B1vcdG|o zYiRvI9akHf2j#HqP5Q#)0Amo-cAqQ7BiwRUatuV zUbl4C;4I*b*}!{w7>MP~ql&zN0l3RZ(qr=%x9Cx(IXfAOOh(2b&x>*+tH8vNxvXAL zKYAUA?A#Xel+GhdRLgSA;^FSXz7XcJ1_fQV(cCXFkUnk@Km>SPGnV1cmcnq~bcIuF zpj)AP=(wtX$kT`mu7PlNEO>)NT8L81QDQ*gwMZ>Y#99TIVVAjUU_(AR%!uPL*0 z3)W2(uhjE_IwlE^Hb z9gZ}-gXzK-EpRA?X##$?S*6s9e+teS7C(ED6)7qBX^{tMAdUBu1j$2I0Ny7;EcDs8 z5kj4~F;ktD%ZwV&;7=R{QLsptE`UT;A~XwuOb3$_Q_BwFl*VCB zit`w>2Ov{xr0~Sr!9)y_sBkP~xTXg)1D~#uOZ;B_Mn-o zrrIuXECC;vHi`~%cZo|xWT~KVf>J=b@-tD#Sq1(XkJ-drw5!W&I1EI)z7O!I*r^py zzJHYb{VxED9LkmcCamN8q;ZA-j`nj++#9l#y)T&qNe8Kch!@b{(D`WdY;H6bl!&OA zR+8tpk!Bn|gqyn>|#ju|5H8hMRvK!mQNB_;o!)KC@hpfVqs za=t@Y&_1m0`8jU{Q@JL^nr0<<+#UgGG}oJ5yZw-F*bb7EI%)GP3Ro?W9$eGFDlmgQ zDXAeCYYfc+Q3J_hV53hYvCwEXa+@DlkbS)9o4F0~jXZXF0gwwYUabSjwlyV%QU7Q$ zbG#8KRzD;HphA3vva}EepE+E+s}AO8o9| zQUZ}}q-lOkFmQ+NNZ@{x*LsVPV-N>nAjn`0ufEs1<>T!B><$1;J$FaQ8Xm9BXOUzP z5cvB%1xHDNN(t2-o`BdvVl7ywpP7e9$7z;GOxOERlE7-AQ1?Gwgx`4b;3E4`TCwU- z%aChF;Pv(qIy|L&R7U&RpBYilf@@^)ClihofBkrS=6=Pk824joL3F_TXuqzt-Bh%m zqk>M3`#3~6{k1l(cPiYz@u5#`f3qq~0GDzm<@kF7vyZfStN`I}Oz5V03R6D`f{`SZ zD5mBXPaz!3iYC`FQ~-xUA*XLiI66_Q6{Hjcmlhx8%x2j7Dl!XZIz?Q;Hq zM4pfyV&aUUYMHyuyCiz)f)sp>o4SnmKK|oKTJ((oYIYu=oth|q4UKBM$t7d}f!sF~ zh?wgyR;gLbEVGp0)K(k=K9;&7NJwnO&au><9POgz(r=Fs_zh7{Jp!y(u5NF=yx?8Y z!Vre&7K!S|5h0!$N(vK}DOd+A4N}$0MF`r&M2&s-$5)ua=eWy`HB=XO2~Zg#r)?K% z^rvp5U#CN!x`a2$3F1H9{POsF$?=J=QL{M*6u<&PF9ty_{IH4pZP2{mRr62yUXXvglL~O!`Iq2qPix0YSFZid})mkjx zT#YAhb_mYl$-jY}D3UEO83Ob*4D2ay5VgV?LjUp4dC+kWjJzngLibdBWAC6yaCm5L zWGu3;c+k~^7@(RudLZ>6DJiLge5saI_lRv;=&e^ffFt>_I1$;; z{_F>VNsI9`sP}oY=oF4sNF#w5Xx(dUh=Gj;C%5cg=Mx2j0On>u1URBV0n#F3QmOP4 zy}%bJsw$=Cdn)ebz#S^>kHFe|9JOw<*;s;JqV^`SC2T4&l7OMBfInqtL!H zLZQWKkhDf&g`q4l8ik;=*9@LfqmI1A4;-`GF3{ZD_u98h6jWzgA_*PdD$KNdq@&GW zAbJVO!6_a=?RZ0N7t0<}3u&=1Z@4-7t1Nu)&VrZZiI>0<#HltGD!_v3ojx?a^G7j$ zjc`UUCeT0y5oqLTs)~&_ounW9lpr*Cj>69$_#wli6Zb1l5~*l)6|Mov7;jORTE6=% zy^b6>tr8z4gf?4f|L1C&GLe-a`UsJQbs#S^3Z2tDS#(>V3D_Ub>sYNhgi~*WsA$pIGDhfk`o;+orgl!kMC3HU6#d-tMooY z3Cz(*EFkP$I_DZ>T3V{6XJFQ$@gF<_Bs{$qy}5 zeYfiMSAu!i0MUr!u^emqJAY{BlYxQ=XUS*>%yyj=>Y19AkGT8xCT=7dkOuT9J`-DPbhyoR#)JU z2#tMQgUCxXXlNK#p*t+i7cS9@FnAH655L_*EF?_pUqujydp(i6>ID~wwr8C7AqDItJgn{#2<*>O0rHdl@n8D1? za>-@YEI3Ub+!@tKtzzYT{YQ<0xaZOJ%Az)RE4?!kTU?=1#yi zAlXHf)pB6;xJM%i96O%CWl3lwF4%{V*PKiogx4aS4wfxF&B1GA{s;;~FoB-43M}Af z=^5+Tsfu0&vIPsnKeW(~kinr>a*)X}{KKGzm|eGgW@dV*NlRf5pB}Zf~70B^43zd-kZi66|+QM zwf>Nlyn1etVglMTO#T#G;F<-^9Jm#>S$^&1a*!LdJtpQ6tzpQ_ctv@)C?-yXXDIH$ z?y6~FfG6hG=R{sw7dlSF^YPZmCt1)eltc4MbZJl;=>Gx^1M&PB010eQSR(ERR{#Ri z8YC3t%XT0H{PrMiAs*m^fU1hR0Sw6BtL~8MppFBe05%9*17f)5KKb}Mp_W7S!=O#w z03XzofPW?8QU>-^7>c8EqCS+3#Ef^u&WU(l5`?OefP{;cW0VWH@an30lCWXxgW)s4 zh`gYWe+Q&+so;S+ke+}yaA=G~24F)Oo-X)SA|Cl6jY3KXfB_7`3up{r184zWknZ7L z0f`~k(ct+FAO=_x;2GZspbH-J-su9gfPcgR1XDkJBw^IunelnL{KCCJf!<1i0FHVq z=R&;$1==XUUzfVuAnbDslo{2)&pBvB05(ZGEM zb`MI3PaLnd0dPIc9fa7-=V=j{i0)H)3E>&jvo>X|P5x^W zH~J2podeu(%!x`6=@|y=sM1gcdeGKc9?|CjC@=Af-cNU)>pKCyFh0jPAJ5}#A%iLs zRbwh(PFGI27bwt|C=hIp`Vu$8y95dZ3T%`VKyrf`47-{Gf-!Uk>aG-!FkQb;BC=e(RC=e*H{wRP!^~M^IZh8A6Z>zMi)-}{CP@pF%5S&2v sBy~gHfdYX7fdYX7fdYX7y^aF^55$|E5mZv1ZU6uP07*qoM6N<$f<)99J^%m! literal 0 HcmV?d00001 diff --git a/figures/iphone.png b/figures/iphone.png new file mode 100644 index 0000000000000000000000000000000000000000..99219ac37163b757f5a14ea8980c945c8fe7d61e GIT binary patch literal 38153 zcmZU(1ymeCw=ImjyK8WFcMlE;uEE{i9YV0+?iO5vyZhkoE`vLRJo4T9-o5MpXRV&D z?y6I#tGc?+>AiQ9ijoX60s#UT7#OmgtfU$k7`W?axgHMY^Ixr)Qwa{=T z8}k+481ah%6xa%svG*7cpI5+WE(HMa<9c6kVX0{64H`oghT-GGm-Azdox^m_CyhL0 z02fw9iOrQph~e8*Uy|3(9OJgau!P4`{dSs_x%?|eX?p(+YI4nF8ZP%_d9Y}SU|bTu z(4?N6=sah11I2+)@y|EBxd{vakU>5!0rad_A{YQJ!f&790#$cgqWzl$n;&zJ<}unV z;pU~ak8CU55AvYX;%nE5W=~R0@=amLL1%;c=@9}x2Orh-%_^_nM__syo>zzLDZ`e0 z5;}R@kvY`p+wUyeXB|3cUW-NPkz8W}hA%%d#5lJh@zEeqwjtPL!L`XCWxT=$L_-U9B@Kz%lcf$})!SLj5CMsRU}-G?b(wu8x0@XCd3la5 zpgY+5S2P-jp<#BI?PYZ^+CmQDJsx$B14$lT>Z$abd>UcaK)9s%4|t|L)L%i+wcsc{ z(4JtVXkg-^yt8r;T2RZfBI&X;twwZO&_BiKv{1Q2tZOlWFrXeWN4&LUcsfyeQi4-xFe z8vod36I5U>!BdY~iRSys7ttDp-}CE7ofiEf(b-SrA!?(!TKQVD<@04~TY)CnwK(G5 z9Y-Brn=Be;qTxO{r@@x07RVO$7Mm9Eb=VGwO|Z*A)B&2^uqSa}Du0ppFYg5YXd==o z)M*&&@H~`V)@EDlyb?YQa6-T38qDEMf_?4C(I{I=?dJGpm@wtwHtnCp=YFL^yd%? zsTqxg@)1?Ne67OeN>9b>WDK#NOvaj% zWxmnUKhW>cr_-C!gT6EW5mX;6&nSl}bN&|n&7&em^}IBXb_h!ZA+tWCKEgScJumz_ zho;G&;_~D_#NW=;2sJdnd#J^I2dLMmisWy~OQ}wlDOkh&&GJt3j((AoP!7rOUC^qS zDRWZX>nw>aiKEtRkZh26}QPGS6&O`AB(4DjTxMDi<|>zx=f+@As!G&OhUw`YrKA0tO3`1v03Y zIz$}?V0Fp~!xW++B_L18J4+U(~ywL)V*RKgP51W7X2cCh(RU7IzsZo3v@WwY+%MBjvSCRNsVfwLy$(QxBLlR2X~3;Dmu z4NQ%8b$(oHrtZ5y{qIiix$n%qmb^tC z*dBJCfcN;OTI{oUuy{4T=e~noGJad2RuI#z&7;gS>~rdq2Xq%JdR2xw2KcK$k|}nTl#Ae;P@lw4WQal< zXAZprD-%nX6eK()QcY3K|uc6W0i0U8{Un*~qSS&3e$?eDa& z@n&CibR(`ABY&Ni6`RdvK~dOed_+WGKipMUT5j_odzlTa)6 zdha*D{Lgs{LFG;9O|-2{!_fe`E6i_*2BpxY=L$Z#Bsm7D!a3-vGf7bZg(*SmZ`dV> z0P_=z1GD?cN~ytuP1{G{ zp1j8n5;+9kW^omUQ=Z?TUUWCC2? z&n;8sHE+K!Ra9-*Z`cXBcqq?dRLASzDK!Ij0?!^m4sH>zP#-QGk2hX<2sAf`b>K@%(Udp6&1ng zKg)1n;1O0}P@g66&yC=70|SHn9S#QjxySh2B=aEtZ!NfM9_0TmgVq0QD5fqUC-=Em zH*q#Ivv;v{aQ$mpEcn^gqSZGoS1m;aeiH{fW@A%_A7;#+c8>o{zyv+{KZ|x|uEu1Z zcDD8|{GLJ-|7pShS^jsLg@WuqO9YlsiVG`hyZraCJ_pG1uZD$< znU&@L_5Eoo`0p&gij}9Ct(K&f-RJat`Vi*eVHf;Q`~P3f|9Jc_%kM5`&JqrGpN6i& z|1-b;ZT!D0|G$R+ajE@3F4=f^|F_HkRrBALf-L_={=a78zoz*=XFumz7(tNb|J^fT zgp6g?&s#1ECMPNO%@Z7$4I8*GmHe?aad)@h$XAv^=8qXx7nAC zbIKwc!k`tvYAmrpWqtkZXY!e&Qla(Bw*ag|x5@K*H(5|={fTpH|-ah%AEQRdHzNpBi+%5;+hz-RDAwc9Aw`gE!=m2*f8;cSxNue|X zIWFK|OjWF*uDb^%{Dcv;Ys9TEzI(f$4<<;EF1SK>SR@-XQ`n{pACor)L+t>k#yFBxDyo{N{7j#v0}ZF7;vCmni1!nVR?WzjHeTJP;M!Q3 zF`NRLT@_6CPDQ6GP9|;7pvCP>!=igCl;x>w862uywSz^?NE5-7X&QZhV`Iaf0zNMA z2dx?zG4yt#f=)B;NYD0>-?DMUipXof2ydzwHCq%Z{dT%Ijggc^V*bdtUkpYFrc~2b zft*FHE=Q|Duq2jiO?EE!2G9!4KV~4YMA3XEKi5q6hsCA;V>@vi*>Y4!K$F9keU0}* z1#niLBQ{0DTg9X67I;7`jPvE0U8K#Q#eJ$YQtx8bm!tl|M z!*2;Sj}Wy#xo2SuWD$T|dfAQK{dh$Z2N1aQyShxu2>9NCL&r*ug{P4>hv#&e!RJ!) zcGmq~;dkMZ+kmMoIAh@dYi_><>D(P!_uX*6oE7)MVTb z)9ihF)sN}{kp=O-_3@UgAMkeHPOjUo-)ax$umHrhutO2N z!Ob8j^c}j}g%s-pi;ndt7T&CT@c80Xwt(IB?x0eGxB!jsJ|(GB%qdUzbIe?ZZz0~G zFSe?pD#G2}9d9qM$dEFkiZWTyH6LsKLGmh3&R5bWKtPH~|bV)pMb8_Ax8XB2TW|)nqvUnhd z1%lTYe*gNi-BW_PRijnccMvfZ?jRRX)A`{1YynMA43~`tk?D%I3wKd0pW4QY+OGj# zBzLr}S&gGlUP|kt9As;Ob?l$kVLFNdnlBYTP+)@dz)Q`)l)}~D$HUE6lDH)p!=iOz zi#Cx3=Tr$@ABrK&4wUkwWPIDFxxQMAX6dp_)pt+F{0*$A_rA9l*a^i1PH+HRGX%v^ z=Qb62HcY!g8<$z)y*UhU+seMXm=7bAamyavAblQh-?_|9Q;RI8@R_JUQgYw^d!A)| zkF5iKj8G8YQI?5=*SK!hba>ol7sx)7%OypMp@5n67d^S#q9w!h%OSO5EyKs*^KrqN-Wi%$P@t-i)oKSZq0xj6%;YO9m|N+`&_gR z$MPNG{e#l7OO(6^Rf>8n)yb;DQ80h-$g~?lAewi*oK_GgCI;2`o!huy58?`(pRT(A z{=$;_PJ1zt%}47DTWZeC_rL;vbrpWLm6^3utx|Oj(s^qUx)Kf~4+oG+W@6SisU{av2 z!wj3OdZ*`u)HSQp?8C+*RNrk#r8A4W!1(vY=B@*2)a_sgeC<4`?&}x_&Iw^x$uxuM zKOc_)A4_gdQsEp`@{?U%x(ToTBhFjct7Pw^5cD`uRqm$hb0x*I?Ed%NEE6P5YjCE`Dubt&yd z(5$f9yxg6jkOu!&+781ta1?xgS?b<|H=p3?2=O>E4Fu0QZ*&}r5m=S)NiEHaH z;_hXX9PVje?mgl4^xuu5$?}T)j1@O(IMUU?5m|q@q|5{`Za+sJZtgY|*d1jeY9fAg z=}x!+C?Vp=x!GvNp_$qzi_ci2n%D2z{eEAwF^v;$L4i;O0TWh7>U%7vd%sLys?U~m zDAfIfRsrGZMMjo<{rx2Oee@b>l?St+qu&f&k!S}W$u}f?d;~Ry5Iok0Lg$LuV|}O5 z#B;isJO;-&G6hgX4S^%}GhPO)ztD2}oj8L#=+aAB@Ps_RGlggZ)yY-3C`i;iG!S`1 zIgLFcw1?W$|55WsoaD&~0Pw(qbNN8N8u*uz6e3AeOQ->sSuti)7KzU9S444F?`YO`r~8J)<+jd2w7SB`s|8+!++`&-aR~tB=pu7|?eC9hm#NPm{fJ_!*%cv9CVY?24kP|B=9!6LYxbd8(ds zRHiMJVGA)#2!JLVtx)+ULZ4&@00-ef#7|b^hFWarBX;400!=s}aor^wl%PUZ7=Dr9 zC4C3zJyUTKYuWYNQ2`?#K@}rGg5wUw{|a^ug&Iv48Yb}+wZ|WMMp~O@F}+$h%)u9z zNrsu?sk8AJZZEL%ZE89fS30zv#){~I62R?a7iS3EEsIQp#cqo8UT4S$ ze>Mg$+M)ku&sS&5AUF%Tk+w?c5^NtjCQJ!_hsrh^H9xxNHkf}M@Yv;O!Yzk` z1Q#>e)3ELZqxaGaODwJ#8~nq4f_)z{bzm<}WHVOqMz$aJt-1THDx}vA9Z*%8>%TfB za4C3HA{!yrHJYi6`nr#4mlF%EObo>fE6Y)k*Do4R`C13KCEh|)Ho8`0%$c9^k`dhU zdPOOFDwPdV%>%QeEfkH|nYNt{w~XwKQWXZCTsTz#19$N4Do2V6RT$KXpv99!El5$| z_@AJ9W9T5XHodei-UPa!VZtazG_MF)I{R3QC&`eO2N6Rr;joi6vSa2K^%*0Zsuz zFq{>s|K)NHUZZO-)79x+pjsH&NL6zBh3$;>IqDIafEV!8!cqQ{ZXf`_vxBC9$(z&q zvc2_eQBAVtco}>>2>QH)2ngCQRy0ypwn!{1H5sF{zSGzAMjr^fX^lVfp*JCx5z<}7 zqh*#$ZP3~iM-zPIN%ZsVVh1*s0*-2gF?)};JL4Xg^!Dn*08qm|5N61m?WyG+IVj*n z^U0;(Km5ox11=m4d3~YYL4DtF^;ZFw`)s5-moYnQXIog zQ<0cKaZJRC$N)G)PB#a>*b*ckLZ}?V3t{lgPKyGUOuHb~qlIs@8GW4)moK(a%SpKo!4_mNv zJ3{2@Spk>EEhU&L!kb4zaF_$&daO`;Ei_LKAx_?k+HBEzX61wvlkxoaPQ!|VgI@k(`0&rkqVxB6xE^TWZb>GbJNcwCSb`;-0R3& zD(;(~lGzs24Zpc~L2~nodau}upTQBQD(kD%N_Y9K%)wCEQ;iKasY=DeOt00M>P>tV zj3SiR03O&jvX2oIMyf!);l5@!MGfzw;A+$t<(nPw{#?C#MSB(F-qMj@o?kbkEjA!- z?Ai#%FLD|;YDeHr4n=@u|5MM3HSC+c^lT&Is#|^%q3|$J+G|Z`Eo*7s^w4D={Z($w z^bL|B#R*hQBmsTORW&*oASnTREzi=m?;dT!!>8A`TpW9@u(IgN4(DAk)vho zdD;2MA1oT055?(()V>lAzh#Lhv=-YlXZ6RRT!7z(pH13i6Vc>P3eB4DoKeRang4Fs zw~Ldxl6J~h6@QiG8=>hgw%*;?uR?p%Z0T#w02X32B|0sM4qaPrH?AU4*q}3})8Enj zS8HLc&FjwNMHq)&d91X3>4GlGae_&#M*_QkAuu^(%nS?r)f|>y6VD#S>s`Y~o5{Ln zGB!*}@s&R7WWzPt>_SD$fR6InAvvpix0~C%3}b2nGb)`d=X1Gb^ni z6wJV+L9EIvO7un}Th&A+6-xv_Ts$KAE6*tEeY5DkPP{=i(CdA8$t9l02=@p-F&_w- z4N_5Q_n+|a-Kh?e=2I2VCVIKyP}M5yT^coI38=MuSXyIEpZb~?0+~Pchu1$*H7!xb z&~hvDnZZc{dONtb7nI*Mp2}-z5HOkQT+9%`La7Pm<>4VtU25xdX}c3l2Xgp*GKzIN zi!Anc)?YsZ7s$FaAJhrzK+tU~ z>hlKuhT!o*T9GJ7;Ml6{tvbwUJKvGn)tQj=86z3C6uXG6#j6rjfFjYf-)dHpgc+in z%z}F1J+RVC%rB_RZve-nj2pEzBvkBEu?HS1K+UP*er?S+)=uvrUe#&b`f25)7ltwy zFM6qJLrTd31)*>5%|p=g@lN7}wWBjmG-SDWeAQBBg7a->QfdP?*zxgmq2u=+3FP8- zh?e53%qWz2Cr(}|Qi_n#Ixt7q-W1M{s@q3nKGea%xmJz36oQ4e zD9vQn2A;UmKmCZK4%&7Zi*W=zavNYB(@l*&{+yZ@MQC0hjU~dr@PA2^%i&N{#!Yo3 zg`ti9jp|5`^fE=cO%QlpyXVEU&i|Oqnln$b)%X)aNa|AjxO1*9h14Bahf>BS_Lhb* zX%3B!76xOs8gupuZJo+bXAg}qekw|~e2`L3ISs>(O(j^4>dA><9rOARnV0^;erF7I z@ZnyvxoTeYEGuvO4I3jvQIz3WOt(Tn>rTTEWXytyJ*(% zx$^I!$+xc1;~fmv#7iw7xLo;8v3oydV$VDavguqw5SxdWm+yX7i zu*^)DTAfVyF{)DE%GHE^xSVTzXjLRT0P7^p%H1l zLqI9`hv9<$CF@~}Er|vKxV8j>TRIopKY zZ)bB_zIV-K10Y+SkHYkT{QK+KN>P0cG zak<^ZtjRvkT6ayy+|Al=>KCcBiZ8R8Q7Beg4;2dK#5JD322pG*xf2c5Y0?g*Ta?xB zhSLM)Os6%R=%tjElthcKWSZ?^q6+SZ)-+;eCjLf&Ck`jfF@4191{I zyI%b;=R$bY>b#ty-E$K0oEtP0gHy54CCp$ka>1v$@}zsunw2W}8T7lJw9x zb^6vV#2Jxrd6KArGK6F2Ae%q7ai^hvULPpBS_>BE8RW^36D^_Qm6zf>xA5r4aLS=v z!<}{G#2i)lOh-_h30bNh#f zFBlc;()M$Sr+d`8MQtR)LYqLk&GkN|)2;gv)_It=v^>tz4YX~AbK0#lb2;3p z8z!-VC2|ZD`owysh{TDyr>d27yZt+>J|QC%!7EXpPh3GS44vn%2?E@N>tM>3Q1I;8N8!x8z_zcD*MRu9M!wAhUKte)#AkSH$ zd;A2;$6t%)jbh)t;<#VYA#_FErLn59ukNTP`8St#wd>ECZM{?kn$1#B+4Zp_?4MW3Al&iPPk9P+eOJ4GmUmR1lEPf~QvFLRnlbJjK zU%}v~%7!WD2rX1*9d~6{h{58Iu!cL*pcQ79vEO_P59Mar-0dX*ZeoEYZ*vXaxFoj3 z5;6C0TPuY}A>)`2yPOqW%5l>^wr`HGi&c>%Q8f)sGtO^xqdcCU5}U z{)*6MUG4Bg)!AQUhQ=3{IQsM6;9E~TZ(t5SYMr!Ibrads_9?yY zl7{(5qeW_`zfMi(d}h`c;%GMY{2RVtzaq+~y1n3;VZmww{?+GRSW=(@ZTH99<+<+G zOA5ox&B6Hj1jm#sp=tIfw9Fmw?%RIRb_Vjd~O5y64e^w*Ycl{`O9#olf@Y8}~n2-H6o8Ykpr7 z#PHDp=H%}6&r%y-aYubVcsLl-uKzeSF8)=1)yjV}wf<53P-Vezew#t&_fc=JyGG|R zd%>Q_w>3Z65?`$+X)3?Pnl&C0x^B6rc*yM{^z^jNrBBlLe1FxBh?wKrGPg4c%}uP- zr5wS7tL3okXijRtifjoBHVfk7ob2S1pPxPEl|WN zWQO38e8Hl>IB`l1Vh2tGa7Lm@aU5`2O%G&I&?A+PT-pMuvV68w+Sl1Eax8w z>TYW=?en$Jn;$V+Hk|7(JSe6MFtau#C@z*Qx}Q>Ki%KIEuAzoz8HeGl4*hUW1qN+x zi=>kcip=dlJ8v{O>$WxZF&oU-lWJo$?~zp3VgAicom%PLo4H=TxYCXXd*pEB2GZu=gbtCT&SCk3Q zjY(`-`R?QBNIEp`)0AztNuk%|TAO}@7EVmx-E$}&!OHkt_01pj1)HHb>f_A+e6j3p ztVWAxF2`Q|NWXv>i!SXwCB^!?r5qoWtHV0!40*oxoMeZ39NlOxCSzZV4(3IMZ%S21 z3AMG$(ZkB!$?D%aiRkEW!$N&NvYf`69hLC2>B&vbR(<|trDM4rdS)D7fO}(*XI}!5 z7gbBzz*1Z!`~tgr3d%fn*?mQYJ{cj;pnF|l_!(~&EGl8sVB)ZAZR5DD(deUPj~cgs zujtC`Uz6=T?f9(MU&FNPV@&vtOZndY&#~r?8n>+U` zYMM9Ok-C&>2t|3-pGg8%L-#O6jbfaFv68wY6 zKb!7j(*D=Knc)>03@a=CZe5hsh9z7iv6c>`iO-j(uUmW!I4?WX4R( zh+9MDc^1~LJD!Kc{>3-dpJHidnSQLty!9CQAj`r)n1?^SGKogq)!w!GkUnSQppVf& zv-;Im(PF@wGZB%vj~tWOJzqPp%Xja2eaQ>$($Nh)d~(3T9||q>(aMK}GWM>oHpfHo zL+xnViFVmPN1^vOOAbDKXKiKrSbPI;mT=yzN1H_1z|^O1TW$`6+sZO&m^@GexbR$L_n` zu4mLMH;j$44Sz(AyR6`KOmPEhj#7kV@hIjO$fi3TQLke2emHHf z-Vu7De(9rmialyE3OW*vSzP4yIT;j=wsNynpe9pxnV?5Ll_%Mnwb%UUTod*ZZO<0* zYtMc%syYW?#Gr{B$LtX%6*|H#WkwWFSrHC^UZ$Wj88&xrMESSx&e`BdrzEOtuN>R9 zultVt2NYWytQ@w-xw{MDqZ#F73SAH6AMHgkild1KJ#t#mKI|NPGWC702OmD^T7h2B zXIQ_C9d)GZ^GhH>t0LZ+gr{8Ji;i`8`A2VQl5an)ZM~awlmKcmm3VsxeNw;77GRLa zeq1vXdCCaZ8bI!P(Q3u9cut1$!0lZ&giTVRQidG}SjLE=&PBh*V%4xvZh@R(YxcrY z2`(2NqUIPdAKni-+gKV%1r6=YiV0%Ayi`^QaH<{S4n-QXq`h^re80)?jZPtXm2p{3 z2K>H^3@O=dmi^7s?`pJ`7N(jg)Y+rTeJ0G8{ib;#0QsgRr@849x7ro9D6ciUX8ecSe-zqE z6%MejC*9C9P6jctC9&O7GhAUdN~$WmuwYMR=hdyAkh)zrH@MM!^er7AFfSJSe?fcAidCkO?%0G}+$ zp=Afg=Vp}V{FBpiYC8PK0{l||w7?T8urDw2*smY!5#dv8e3F*clszf2=dTZI4jvWq zs3Nb9G}}=YcwrlUMM1HFqJy|c zw*|p<85O+mtMWREW|htXF9!MK7dlCqKtKl9IJ|GD;4c}PK-R}Ti5)XM_U1=f%1nTrYTP+T6~O*?`GJpa zp?hPaOQ@N+f%p|}ViG(daFJVkEN;{{!~f&nHkrvGa%IiTyVXH=Am@U%L8tCWw$XJJ z|2$SHE9SE0hB-In$i);s8{ftGdA*B9!MRr!&fZ_l_&l8fFE{oiJo?eIzBM@dD~Vi0 zJo5V}l0@rmR4)}|l~hhq>Eh#xh-`(QoJ{ANB&d*xRyiT>_=mGIdunEEsjAM)OAb5e z`Zif3KVcB|@svGV;it(#q(s+(M^h+mlCyG}D4>aA2oWVer+N>s=8lFw+n0f-&pu{; z>5=8EKI5k44H#Cov88H#j}aRZ2bukPAG0*>3x88%AGxY7Fb0gr_j7-*G|(-ck%1Ok zf)gjdd4e0^G!vmixD#E#E(j-~eNXC^8WAdwnpOs!)%8=ozIXjy?|O0$JEv*q=yUo5 zT|eOvbO`pYiPa#zaEy!jt{i8LO^=o%_%wgtJi3`^8HX6IBvK+uXuaw|nb9tAb5O^T( zr~KfZS@wzz-A0R=c$9fUt{XmE=RF{ibmGCNy_za~cy%WL0<>@pZezRLqrUvkn`(_YJQKFPFRC#xTF zoSP(J1-(zsdn^4Uyop}HjxFY)Dr-f>ccou_gltrsh1S%}w~{QzDavb4Liya*OPIjj zxf@&qZg{{2bxt|?u2d|_^($0mvJYW|3*cwn;a~J#zKl&`c%BmFut4oxJg=t;Y^^=+ zA06)K+|mxHkHT@Sq3a4#PR6k+I zuf?}vfRspe{8(q@g?yf9hZjzC{tEF34a*(H(oDFjS{=KQLH9-pt13q3j9>B}5xZ3U zWqcWAZ>NW48-MtMJO3_?!{RT>X$s)8`f8L-&qryfr*$Y_?)=H!2vxqVOS{Q9~788;t%qpXpKYP2H$baOB?~G0?Sg@1&M({+qh2+Ta7sUiJJnmqx3^uP2P$ z#w%SARx8e_B{k1;5DvH%+7Ez_C>IO=v5dWf8jjrc^K%5`%U_}%WX7^fvGYqAkDDfS z1YL`%#Wj&ACq{*leG5|GDJS?`D>@}AlH79TBggJ;N~_gCV%lMTz-i`o(WCgB=T!Dd zc*{AazsHWGg9DDOa2mRq(>teJ)f^0s#UEMop(=pK;*U?1$x5~hHg~LPUk^$g&Hc~H zZ@*1+we#P4M@%P8>8mJ@y2=`>A*)BGq~}Y)mk*A;*-Axnb5U@X6U6-F7onJAwlm@n zyUNyQt@{UpE0YZL1^k2yz{qMP(CW$eCO7Hguow zVrGfIx_Qs1rF=)ezEYVk#E!^2fNP5(#B>MR6uLhdCoeMXwP5zVsqrRf1fWpoSi2LA z;V>-e^{!$>zjyR+wsD&4Dph{Xi5y0)Z7cRwc6u zitRbfJA8q5o{NC}@yR63inG=VnG&CirIr2<B}x2pKnhHG5B>B{Fsx=KP{VO&q)}6-}pP{!y^_wDy*g;)%h#Nc~MINn|Z*jIzR@H?L> zowXeQ7b}liXivV^=YObEoFCAHxytY}_o>F**6sU;tMRAA1-$Ml)qcDliFlM^BQGSh zpmMxkXZK#X!r`kZzbvVjPo(KA*O&#Nlz4WgbbDC29dq4`3V%iK47pp{8NH}v!ZdQm z7q(~>OOhqLtccNCd;hz57jdp}tJi*>6etr|ikN1Ez@7VFFDbUdSq}Y9eZFu?R{_MQAAEf~jRd8DP;~8MXUfS0Q8lVw2{wMP~|EEeCUMBXv z>V0Sh_}NPm@FxQ;x)H64%UF2Edro|1R`Fw#uKTvkFhs?8p>Q2)HUc z#$OL;R>ifECm>AwCZmhke-jhv0l(6BZOpH=Nprq>@s(7vCXuZuT0X)9tooZoQY`es z;$O{}g-YwcO$S_yt+lIP+t!z<(toc?eNj6cBhjNGtV9IkSipB$=?mWp?-L-YO`=P6 zj?wV9)C+3t(mZqP#+1w>*Y(fZ%qSV1}ACvycQ{`JDev<@j*y1_*;%JZ}&T zsGUv{ybdF_5xj@M6tn}23qpuz9BY}$-$r3BE&B@0pl;zW6ud@oaD3l!%{_DaImdBW zydY~zSpcC%{$ZQ&Hy#~Af8gB?t*Y6tjt~{wbOjp%?@3L-} zODs$?hLI%Be%>|+qIw^TnpN~pk=3lt3|KL0RhPT~uF(&AT)U64 zOT!Zl%m0Yja#g?w(8=H~65u=y*_f-CtB~f&o8eqT-5qJ6iHHHagV7t!Ic1h_EgCO9 zJ_>TK!t03+xy-e{WPKfL?}Mup`(7TCsF*6R>M_`4BNS?5Vq%z4PmD%cw$Mi;)YTIO z_EUXG1vkkUTk6A#*Y~mcVXwtyj!6dO1u=Iv8xL>67<0Z(Go~4i4doAnTz%c%eOaBQ zXb6-vOx1fp;Uz1WS>-%CTgY&?+Jh7mr`eZKYjdf1)WH z2QNsMv^VAtm&Dm3c;ddWuM>YWozo!f4%u%MFZ>u6o$yWgfP;)uRLbDs-Mbf4Vx z@TA`$ZZ0k^`ty5gU4>iWFca3E+{ly6?m!Et#wUxyl8d{H{-#n28Dcniy#;ufV^H&< zAHofXpzx2NGi$Z(OvF1u=-huIU~ZX07EQ(>kC!K3I(QJV;eygE@B303>FF7=Gyptq zI#lS@WJY8tTfcF)Umts4<8iE1xH~+JY(w#M%y{qa5HvulunfN(deM=J1_kKZWh3%$ zdLE6nZU%UIdjtr+@-LHR0U$4Ddocj0zO1<5-l`<1mwT-+kd4qo{phJEDIU{7HfiQX zXVB{9A@Y$Izsid8VKF7rhI}fO^>jXxsQ-_#IeY!{?wpkjECN40GV9ja)lQLF5&{YHD=ACft0GgKP} zMEHA2_0~d@=0l{)qSe1Mi;Kk7*;Ho~=@bEeondFZm^J;Vjj606Pi>EBy@-_#iM@~e zL7t?7wmKcw5n@_hqiGRXjCQ2Yp;SQ+5^y(Pp7i`dHj_au9_crkp?FW@k0(Z6q$ue( zge4MB?Y21$7{}jm2J&Y1435*u$`a~YvB7tt74Qek&pd@-sV@A?ZGT?V?0+SA<*<$u(J|R5hC2njuhLyQm`^F zD_dj&d*CeJ_K_C#=so9Vh*ees@#}~wcywjT3V(kC&`0v;RZ;Az;M*mtKWj$)IS{Y5 zBZS{>3;k&*a;}gY*;ByeOcxpcO5Z;RuB5?g>J{3=RvBv=yemdDRJ$yBUd7EiNmUS_&g$U#*+ISJ-36p;n_)R(6jawE~V%@-Fp?rz}fl!t6O84qvshh z72`MoX&}-j?W+IH)A$zgF)75L!@<}0>Q(m91X{+c0a0sEn*8}q`C&Va%BBlYHk?U6 z1-D#;Ck2mAz$!~Xs_pqZ)WOrXG`V-)WK}-Xif@)(W<{FGlm@v3b%;q5{=f`7q=8qi4BCjzA2d7HunKPqlS6Q4%g{zgpR~tt9&C5jdC{rp5 zo#)-zNg9qv&GW+Q#b%3SH`;_H@q^=Z+6rrp81ASzarn?C*jd6hT(UcGR{MG-x%6f{ zO$U}-+twEfZM)ZP93d0aO}ZCoG^!1G>HqRqM{kTWhL1f*1yQr#U>f1I+1V@W9{L}< z3Q3-3Q+xI<`VTivw2hYIhQC69Xl4SJ#2i`wogL0b zKfWR9W<^0=VYj@>x+=$=Qaa{I+EzP=$TmC5CBITcaI;EfsC1~zEBlaCP!n6u2KRiH zEoVw)Z&9;>hsE#H-jzD*_H1(t^!rpr$Dzg}CjXw0N?;IqoZ7)>bu}w0ueGo+o+R1| zuXV$_5*=W919##G2IFbFFjQ#w3g$1MGbxHcfPIT_iL!%~t9ZjV1sCw(EhHjwO2My} zLGbCgwEphT`S#}tk5Z5?bxiJhg}pK%e8t@}#O+KedCk>2DU_>y1>b)(pA{YQ*VZDO z#bN$Ufp`6!b@PqFw9Ca9<3<~bvskWqZ>=`McfSJ3z7m%t7ira;V%L-hl#wkTnQ{(m?&JPY6d zy|Gw1aFFUA4GHKx+yhRW;@I>#4KJ)L$v$mQvYW*|3KD@5FiY{SUydE+!#t9b^$1)dquX zHHXuB6=QsNrKqm)CXsztI!F#a)4}WZ% zd$}IF$A{-h)6BE#Dtv<5Bze+wkSBvAdz~H^r!ABtQzqH^T5ik;#QiL01Tra-X*EX% zyp&nJcj`UWi=ZfR>6B_Le{EKC7nG~jYmjK|E~t($TcJ*4EdTF6OQwz?k_a(FuLfZi zQT8gdPvKJM(IkBHc z1}4{N8yr#xx&e)?3wZMxVOms*^k+eYzR9^+jLR!h6|A8etYwUk(G61GMDs-@+nV1M~(O zcBk4jXH9?f9=5T&TS{P!az9la@2k0|9)Gh*h@jvIbY8Bz&dFUoUU>Abp8pxx#>!#= z$lIzkKaM@-Kbo4Ee(NA5RjOe3&^dqSsdnkbv6&MZHZkJZ41+ll{X(XwEX#n~95JD= zq+v;z8JgYOwn{y=Q^F=0#+a;#qL!UJ3N4+Ny$MREJS6764Z&aH*7Wu-^0xk!3vOur zau}fRxgGYN@uJGojUj5MP$0~$C#6iTRM?4hUe>NoBix);_Kbq>NeeEJK_g6|R8PT5 zld#%S^uvh5Aqv<7ta!RJ^LyxrUVr%0tk#nHkka3whMf2BO?G@{4=(r(bXaZ{-d65Dn3dTI^*0!eJZTVG>AG)4#QX;VAkyHR&cQ2c z72*+86L1{6MHqah8uhi>{=N-@lf!;82BbohEUij+^XqJqAtp z`L2^=zC%2Vax5kT|BCFn&>t%USsq~4_hvs+=4U_O^r>+6%mC}N1%rGAdMyPN^YlJs z#u5`p^(KdRz~P6Z`r46}o;Xy*eOOP?h<)Uy|=BF|ME zaH@lp`t&a)6$$}?`a`~0Fz0%i7~_}Vqgk>3dv_;xgn;Ft0`-bas{1POJztB7SD_pI z^nuPU8&ByS*OJPHZN+8(D}0Q|H3cJl`&Ic`5~v7@q!RJ6U_oPN33Un>3hjyZtQq1_tOSzbFl0YUmm{c+X}2mxlJ}KGl=2bK$pqdK-b?Tgyr; zDY)%!m_s$|8mmrzZ;`6R(2)Mwz=$KBFDTk3hmE(ABg6=rgj)+zHxmY(^}Rd z+bY3B;=cYhS)F0xO~l77{lNkT>;GK<4?_4$-jc(KCfAdxKD3SsV?XkU7;@)W+w86!-tjpS$RIYqOz1@X|TBv6- z=H|ESWM>}dmKJD5idTzl4{fSZ#^%2(>0@Um!Df$_H|N|{f)ZuM2K=|*0#pGrmbR=Fn{iL!fe<>ozcs2ZW?RbTb+blHyS0z8>jeBk!p$jpxSCtW(|eV zum7QStGIlru7h5;R^dF!jJiF1ug)So3ajbP;B67?hpln81=KZG8gIP4Rukx715eBm zh4~b?c}~6)Ak&1m&)8cFB2!Jzgc3tR-1A*}#rl~Sr=mu#un#T-YgCd4g|H?m4$8<@m6Vu|kLeL_*J;-{eX_R> zZ#2{m6Rdu#kE<=O8*~+C{+QXtPLTOL9rAILcJERloJv5F|JuKpM~Ah7-OSMJfvnGf zscm{^tWf^$X$LI>e%76_Y8idBh4TlIiU_7KH%TF9YTF5reR=LP@*-?v7UvS1A~O8} zT9_L}kolT=cThsp^a*^ggggvceF`iJi$hZVR5;&{KtbLv^hpVPx1{bo5$0uzaL9rw zu0uSEuG5o~wUI4Qs@1(xmCHF6TDD3##zrCbCEOb};2$}6vQQ~u3L7yqik@s>8N?iS zKLYi6z<$2OE`ZZ|Yi8XazmIEU+PXh&ytYqHqO5$d?rhbH zpdHC9P$)f&Hh?QGZiq7=IuE*oz4*%jOaG1l->9(Sv=85T^5=_>rOVI;WA73_Q|GY$ zV%eA4BI7h14AA3~jAK`T;%PCs)lcn*IW86v1=X7movUXc*+%`pgtI+`_yrcNCga{i z`qzKgb9B#%4%;mv;(uiuo=Y&70?;x)ge zb#{wMyjC*s!f;*aCM-*#ZFaT_hesD|jGY{$&N#M6a3}0!#-|WoVS$#qRr#zX8xIG{ z)~KdDv-(hp8-(<0jEd2wzbt>iwG*so?ayn_6X3~kBsnxUzvmPrz;ru3mkMYVqpJM_ z49#2$ndG!>m=ea`1+9L0Bqla6x=4mji}#s$gU51?bE>H=$VW*8HhvFx=*Ogs z)3(v6?A!zyCiEmwF_Z`6`9|hf`VNA9IDPqZc%z~9;{pn5WGku{_kb1$cgyWQ?!a9T zD8Qniu_C=<2zpNg9n*jE#wHz@`gkO(8{Ac0gB=OrkQf_z8%g{f-UmGOPN}cJK3KIf zoXr_wRaG=g|1t7UAHk0BwWBE1$`<+JiYA=bn0l4%v2pysCjbIr*K_EX^@tf;u0R*d zRr~#;*R-ANb?tKD(?0lKwY%Q)c`^~s^gnG~ z!x&lpeBvt|gUmLwv$GS>kBg8xbR@vDm8&jPP%Hq8YX9YnI#QT>cK0-rI>q40M|+tM zZUgs|0s;E;8Uj7kOu_eP>l#2Y`om4mJ^CAhUYkP{b!q>{W3hH7U+LP9_45|DSEOPI z|L5&6#mbk;SrxQek(yG^g1H?gzfA+fLmVt z1ExZ*J`EX>wN9(02qRV?R&Ej-T&=lPh^N?`r>`Tyh)KGkOhaIpKtFDzDt8AvyQ>uj z?%c;~+o^Ss!jCpWAL?GRG-gOwN3SCkeC>PxJX^B@5vlL$*Vm$O>idzRC)M@kiw6^x z@xkgft}+WLMF`C;oQWm1t@bm=KUd@)XewLyba>7Q)tgoW7SwlgszOK$|qoH0X@lOvu1)1+eg z9yAXzg<%+nQHKBO!ENY5KsyWZp1>C3*+m$N-wuS5On1J(mM@r?3I5Bb{F9RM|_old?|sf8_=WN*Y~3>=w4PtmAtFHF9CLz0Eyuk z5n4vy_sVQ6G}Uu9#NEjJ>rUXeUu{c6+?cg3 zIp+(io7dU966zk1o|20{i}tQzpsVz0B+aHb`@McrA(LHi8;v4A7u))2!>?{^5N||B z=9+FCsR7A^OknCxcxl}nTV?p3DNG2I>qgN`1JxEyxQRNtt7S+wv(fO(Vh?|CtA=_< z8DpIy@7&k0+fbi3)$%3Q{fTGiDKGy+FmvyND`RKS-hcO_P;cLn)GQM~hVvMZ+ZFle zg|$Hbi_6BH6%+PNa7%owM=%6(4(=EBk;JW%?m70^Z88FWij9EO*nmW7lix@wOvvqh z!kdOG;bXN^B#tETpu-eOB2yE~B(m6?sHZSxmrUCM^>|3SSfDrY3#cAC>eYtlxfK-7 zLlT5p4(HvZ$cqng)>p zU1r(il#^5hDWxPyNgYhWI#NF($3>*6eh+VqD)(!oZUy8_$vbW%NWvs*h;RI-$Hy4G zL)pLK>E9pgAdivP5HBc`!Z0?#f9~lqmu|mNBVX%VO#%zl2Ws^Wi!YWVxzIsRMa0=f zl>wz+I?R)XB$Ut1+1nJNpZf4{jwfnzG9puS+;CvBBNw^uY8&x> zJK(;$p=4v=RWN`=t(015yPF49O(o%Hk^1_OkKY5s@gEFrK>mj-BwpTbJTE`wS5tVzkkB zPI%jodypHZ4YTYFS%kv*svmY0l=EUt8{>m~piXf3i zL;@~=K^#)YpDnvo4wWgRPj%^d^_01}p=NBbM0#}m_4RCHA{lsB4wV0mNld;GKi2rQ z+#Tuf-dCu0_Bd%ivdyp@WrlT*5a@4AA-#8Xkd8wXxsDpDZk6$;YJxooeJ`~v1};Hv zUWLBW(TEMwVxi7nPl985kZE(>o0!a6Ie3Q2?#@if4^CW7qUPctBPU_>`Hm^3t0XWgw-XB40a)ce6NtM@n29lIRbUWk$SQXjId$ zr^n~DLU_j)jeo{kO`tRB4Me)fr1C;WzVZd&e|c7P`tXsZK<2#)WGO!De%!EEz7zPo z6*w0meEF@T2!#~e`Fb4}aCWxl3U=1(KO=^<0;&`rJ{_j$*gL^G{3{V#8E*KpsJ?7- zUYYC6Y&(?Ru-tD!Ndm>Qbw<}n%bGgInmmuXecXWPJksYZH)&<+kSVn3P!Xuel4yW) zs4>bU9v(>Zdx?yG)lo}H^Nr$?r-R4k}JBdPp{!^=RZ!0a@4Uvyo*g2X#&d(Z$( z?x9N>V-Nu;bq*QSW*ZUzMbz>{`*16M{;rW{tLL?`$pYo0=hBlWY|;3kiQq4?%sm8fFKb&B#;7&WOYMgTUv<|;0Ho!;k z`$$O<1Ia6FQMuvOY>8Ba4_mVn@)Z}k5wH4|!@>4VyPv|BpbO~sTDzQQFRW6>+6?*} z>4F<^v_1*5xVzW*A}+0-Ap4yD{2ZX3Jb30al9d;tcHm99A5XP9#M@wH#d%~bvrfe= zO{a3KEEh38tl^0_rOF_usnJ^^N-o7IE(tFCTM-^X%R&*DG+Eo~LrwfUulbz)sx>^~ z*uNy++9g@`1LDVg+`s`qr%)=7C^wFLV>H}G8SYM2RA?FrGdzm$WYsZikj>S3Tj6FW z-T8L#7CbIO*Ro>W;T+SealGu;O7G>|v7_(vvGsYqp1sckDVxg!mjV_mWyaNS87&Il z#=?Xk)AtT@HsSqS2-j6T;BW$EqAn*LgDgLDY|Kium~3+ z=BkQ>uMOqkrxIkD9J|$|)rcHP`8cGk%D(MTH!pvcd5qM@dn*1==wwVBZ0Os?_?fi` zW;*g!!sJF~X*QWpnkx8MvZ@-J$PLPJ;hnlteCf56i}z?;PBX|ro)7NQ!eqZyPv>Jh zZWob&BX3HYhreGR5>T2Sjc|>E;3Kql;s6A;gg3YYt@dv)V>M-C+%#IbLhUP(JCK_w z#lOm$+osqUdsI&3>RBt$*EGsJ(zbfHcaW842Ui2Xp6_+0v9`Zn#%ameP+zZ)eA@fr zjPKYJXK)k7smG)4=y5N1?vIFPK6F;AQ?CNq<&wx*^OX~3Fr81Pttt+hD5p!UCt{3y zw6>f9qnNd{4tWV%20qp9{2+yeq=lm5sY+k<-Z~7;NcDO$~ z3;S_gV+l-ULx7;d#E0FVtJGi)SOP+6JXEENSfkFVRW_w^IFbAtMe7z z@%t(7q1w&oLOwi0r48;X4W};T8kxw`{iw-65vdICboQQ2|8dr9@po>v<-&l^1vHo=fdqq{t3BW)L6KF$PKY^tm&AC0a$F1l}~H2plTzXcW8M%tQc z8fwzm_{#Ly2`yVdnduh0;!v+@^*zADg?c^mk|!pzWY$o42;#o0Dk0gFcT=uxt-CWE z{X5|TD>)gn?$b+^%-E%jw6nlEja|HI++?v6Lp$p)r;Lxf1@mUxmh)k`)>yCP(d7Qw zJqqUO8l^?J=Z(L&o7>zn@&HiCUK9p!?jO7Q=ZdlWv%J1xfTbTIDZ86}cWSljqZaMp zbyle(JDL>umIAWm$fyby$A7%~oQ4%3nr>BwWO9 z0jN;A;4V?1$3zE`&C47+&FS>eQaMYtoz+BA?wfJa766~pK>+dQDg4Eqq=<=<1icvF zM^)=G(|on5_pHvUchg*L)!TNp$8C|AMMsw8hdPGB5Fh{`H}aoQpu&{86D9Sdkb&$m z^{_2cRd8A=S$bpxXJPRtB690L2y&67cc7(qp3&Q=*?mRjFk;2D0>-Sni`Poz0nxAG z8(FDu<%Z@#NeR|F)rLys`XUCPZH$??VOz8IoB%L8dg4JvSl5=$HgxeTgE|Q>AcWVNtSWERg=3 zN`VQb@A4KQXMFZM&KW~YzI=|4SAN+8)mdafBmW{w)TDFOk6mv)xwXpZC zIvnhRXMywJh_6w)OntC}zA^8_>jBm=Q1+TVx#k#CCT?(_~BJZaCy+Vuj zAD8S!j_$RVZ00#&s;bR_jLg29phyoC$Vo!~KJ1^fMN#cG9t_1s!l`_Oap}sQwEAFR z*ZS`2Ih<;M+1P3yxx8>%@SuZ_!LRUj#k`2Oavm8W8bgB1W%Ok-;Jul0S|u7XB#tUE zjydE4iQBi=jG&d>&hkA0X}El`-gZv^qAq=kRcB8so3hZ)aTTe$H3jmdx|M&Y=|-yV z5#*)fI&TeA-h>Q$l=&RC>XC%#kX7!GzaOJt~4GTeR7%O&osmzO|WDzxTUNb71lv1+%886gyaB(1rtyh%}22@fQvsLZ(dr`Vs7A>a2voCXjXjEU0Ioxz3Ktc?|D&KX^N(J zb$vlREb#ne+|Nhs>tRkLMfy;+UhEFfLR|$badTD06#Yu!5|Z6n6W6WVqOnHpxouVR zhDb)0i}*ZRLm|)Ym#DBC&OMpzLuIiXfxqJ|@$@Xx81lecWdfCJ=GWGHvxk6HvgJdM z)ftx8v(WZ#_orxm9}SnGi&cX9TzlHq7+`R_Xtz)`lut4(nel26SkFf=LYKTp>MY@$ z*#3T}6DSq0-9@!nqgT1V@6#cYo$I*+?*S1nVA!vcDjxp(a9nv3bH8c|OW!m9Gw|z9 z`j9Rtk_ zoPEga;ODW{&c!d;yy<9Dv(%GnRlnhDp|j@bMX6uvZUv^$&T}~d6AP0t{fPj#jF_iB ztrenn5vVx5k!1!Ce-uW{{R5k#BlIboK`F+DUF#i?(Vl?EMX46Q?EUVs{Gyp-@~owl zXY4EpU&*JWdOXLTrr9oGs~GKK-`OwP^6RTIG0i@$UA?ui^7y+lxiiI?N@zk4MHs{L z79iU@w>I_P=Wu?Q8?b>-<8hQ9(XoI3Pe`igwV!+;XrT*(x&vo}gDw0bWAKuIzSHFc zy7!z{RMt4>P{O$wa+So2Fv4XCy$lk5DAH@SV@2FO*`F>}+wU>P%Y+#5V|qB|T~oC! zmHT{VVQg?0>mgC|+}orO-2M9Tm`Zn(2W-pMB5dqFbvx6r8-J)ujtH^c&%U9zyr6G3 z=vB5C2q*^VFFKF9--A&ktCLR9pwBN;&3T4_mK^o!Z^d=cO?L+43kAiW_}VYE-Slb? zU?MS)*ZWN6)v)8S0{q5U1d8_S*}xGw*|o&728klqyM}sOb9vS}5k!Oh@aZNto{*S=|@<$P$Yay{hI;%|V&et3?oyHP1^`M~cPd?2a zJ(tu#E@d#IcM#&b`UlIv_8*h`&kOJX!hcsfH{b2=+ln8yqXf=k<3t=GeO}L7SO4iW zJ-XIF%F#WfNdD8R#+T3YrUe<6rtp3L)?&mn$s0V_$Qbvfd^JHs{4jXyK&WTs3YS+Klvssf$ zOi|VY5(q?ssHBdjFY}qD!*9sSviQ*O&i0ipWjnU0Z74F@4L<8 zAqI%wB0sQ&^bqbxFkv3SS)J{}Z6_-5uc+7R+a2ck)X)fviG}^+r4=3gy7=zrRc_$z zU2%`HoB>qwnw#FI)!~8UYoPn4`>Yg2dq@G7$K6q3T+6@IAbtBD8kPdABhadp%X4;5 zV(S;oMeW5teL$IEI(ZR+jM0%mvi}keLSr9TLE7xJBx4^bWZjie#D`>wwB?Q5Y&MP8 zuuS@I)m6-jNS3Cs^E)eNVp%y+;}^&m2ypsQOkZ>R8YYTLF z`|+%O-W z?jUI^&-vTO>!rs529nRmhy-Y-zLp^Ln}@gO4*iGN(|c}0v->>Q@|=_vW=S3VQ-_idG9@1(2sGLaf*n#wXAp_N!5 zvyPQWX><{b#0g>lQo1Z_>C?)f>{YS!)MMI7THj zc^2z&8g+%cx^${2MB!Xc6=i;t+p{SD+!kb_v-a##7tutN@L(jZMi(h;SG93g!Cscg z#rp~7!Zoe-Y!*`T`T;bam`(TrkP$_!)P0t94;;7@u5c+LGF8_QB6ZO9y+Xz}`Q=`| zBn5=LG=P(n{>km@jW|)4lw9euGkw6gBDL%>{cia*vOm~+y`<q9qGa2hRbz$yOs=!UI+c>t4aDi~ zYOd?2T%K*$7>v51t7=X34%xn_)o_tvzr*N@cw5IhLx1|0!GnIt6K)LJ^m%631wx6< z8S>rorriQBX1^x_&JRQ=3B&fOUx1zS9xYTG16?Eh*%lH?))z7DA}5(B28ZLhM(y)( z_eQtT%QZ!v5i}rpgXsCLpY(1F&BA1IgnG8$Ds^ORDHg^`K6>j5X>(@r+4PSES<_(E z*CP{U_4{IjO1v+e()9un^A0CLI&2y$y}RW0{n!Xegk2L`GGc;_r0c=Ir>WG2Lkte@ zSW6(Xv+}a1(wGL#+=pZFf+sFHcpNtr@ z-|2EVc`h)Ht-~$QWzWh$c(oJXBaXruhePExr<(+?d<#%{bLeocPq?JsJ+C|Uf_KaT++l?apH*>678CGVa2|t;vi~4OX=1*af{{X38IWJbVIdB z_3Sg;L4U)6g}hhOrq(PfhX|NK>0FQkm*z*c=Gpge^vlFikG>W`TlC8-ZBws9itu2h zbvu*Z`ba6c5rj1M+{}Ns1OTYb6p|f}Qas{jHyX$;0Qi%ahFu6te&t56$<;$rg{0pD z=4Qc-Qi`17LOpr)^Vv~m9@CbklihPqf*leq6Fgy$PB%*aWCBD2dyWl>`B*O&;p8r4 zwCS|+TS8&AM9mmlA7b^@rl#*x#ZQ6)fA)k7#7(lu^!vrd_$V*gLD9UpcVjd!C$Y+yG;zfES=o^hw9CVts& z?3uSut;S z;CeMyi&UG+AaBAE{6&SnBX9mNR>bG(;i^?B&%$7Ytn*#qUVWxeol~!t^!W#lhnt(GOk*1pncY#|$!TU)1zHFB@zxc@ zDwXCo;=tkp8(`2-V_Cl6ewj!Cw^_>a;Wo45Y~z)>y1^Js{U-(mw_Ed9hfHTMC#swq zqOP_Ea%IHdkMjYkfWwp5-!#oe zq>hM5;tiu9OWuk|)>}(c(}~Zf;ja2-UWemz7{ut7<>E?>(v+b8sFPpFmAX1LGW=>o zvvA^jU+OY`?`569+Dg^q=xlLeZ3u=R4-atuIQ*)Do;u&*H&XC9ifyGi;V479h)7MP zjWTwI?eVNN{F8I146JgMchwqj2(o$$Uz8=8PLySbXB$?7T_GaWl3nheGNbs3Jl%j> z{-j!sm!b#jsm0DIlS84a@a^OL(!4UaxVxeeeFJHx3bU)6S1>~SN?gPZT)?$SyYity zq2j}u9gPZcu0)IL4NT!gfWEaUss_K>`Y#V%1^l8Hizp2hy@Th$6Z zL0Ct%hvt=s*c5;CIDW+!w^+g__V3G$-Nj;_9wgE2g2VH{5;D4o;qS`REvVCQx;3jP zqCXHc&UX6>xc-F%^}Y5nOS=n`cYBsAwP?vz)1kyHL&msyBRzluXjZf3cpsyy8^+VJc%!Z-b<#fc1e5EB8(%;?#5OUZxbHx*!zmz#Z>sQm9 zR|0497n7^>eMfaw3q%XCuEncm6L2(1$0jA31e#4C?#gD~)XdrqJys-?0cDIWkBi*H zkWgSrtL^9?WZ-;(44A)_C@UySNDxh^r$-G%L_+=zO>jj|TW*K%eV%YQ1G%s253(oz zQ?qP$gL*8PB{>g&aUGg&rvx_jUx7=&e@-<}kmD8ki8oUwBES%7qbt!OkbmkW|L7t~T3h9O-fpehTqDX?rkiEPLELSIi zI>7ZClGIbbgG&MA&|2}v)mi^uVwOPJZ$zF7!uvXz?nrhk&=MNVgAyK!PnpTUVOGde zYBE>-)oLt-Odo~xy6E?@*2K@&Hz$%%?Umuu$VFM0Uj0cZGUioJ%btA#JDmN@Km}n~ zMA=|mbi)V?W>e3AQ6?^K?V_#v#io$3%`GC4-%UO-HN}F@V2CfLo?Fd|%2-lSP+jRo zQJ>VEr)ghYbC3U}uWC9kxL>zm1&+u$>yrsViCynBZ*ualISpKchw|}7r(C`ia zLn!tfdW4zj1BTu=XAar^?klX`r?76&m+!vG;+tN}bmq}>i?3lkJJdB`dPX!rwRlJ& zi30~ana;vpRn#cw7yRum!>!aUvq7HIH#K}kd7hzMPX9dxBJSX)OT zdN@Vk6}XUbU(E^S7Z}+uP}FMY&(+sBEyymlmrqPC2QT)olii1B!z(uD&7Yt@!ia%G z2%**2ONTPBcb7+ftV(^=3e=~h zU*=7{I@s|la?}_`ZI5;U=*RHOP;Lh0*LEvyk8rnstXHP6KI+f9k=c}9H5_{W95}z( z)+RS^zFNKIqz3o$mYp7H@I6c#b;gg0e~KtK9Xa|< zk1ske2@)%l`Yls@Ire2+Sh?GjPz^ciy9%e}!YP^Y!=`S&k~EAi{?=Q>TG!3f&0rBo zYag7Jo5c19J`Y;UmmNDJ#f@LeIuL4I zQt(clpH(ld+}o7Y(i>4I!N0sLV?cJe@0FM7rnmgIXSKAEF3xS0fzy(7G2_Xa((pHg z@Pty+U#~@?)MBvf!tPm~%ne&3*x3rc($}lHtxJ9YAd&R%QM9tE?1r%QpW7Uq7b#8y zrP4LD3t<6)V2w|Rqbm7jQJ8F23vCQBQ+0iiLj~c$f-d?3>dapJb5)E-ruwM(JxrmkgYWc4`6SpA9iAI+ad8!-dfLZ z@!ZXYwd?Qk5bPf#uFvQ0ACs3Si<({nHQ!#um0Mm@|F)d`8LEWWN)&KU>3IO!fDcgh zQ5S@qEUPb!XK}IM+%0Gr*mXZ2WX=S&gG$b87P)@ndhouOKx8o(noRdEZ!U3@pDooYs#DlHMBtO?`e;oyB1;i-r7YUI@}JVw#+^F);s~ zOtg72Jqi%ws@jzLz{CIWk_3nZRqM3YH2Xf^Ts7jH><}6>PLg&z2tI*! z#i7v72M1wAWB|o})>@*}psQ=DVIa~gohL5p_91gcGjBa$EPc=k;f)3~;s#;ZJ((%9>G~J?kfFk-a{dBZGKlx zd`&<5w(W2*E5kEQIQ->MEuZ{+F47R_1F)je|^{-(ozO;T=)7x8GQUaHle!Os) z!E8kff(X;SMbHc>^g_gQTDsy%LE^)w-)8ZMK3d=5VhN=Pw`p&{>ydVG&g|remAuszFtwURo6G3@t{$8ZX>w06@rY!*y;u9 zV!IRly#YrVCJgXBZQG5t`KM$cmaN){yjTnTBFK}W*_~|}iBzfzGm`s(Y?KYj@7g$D zv=Ef*do#)j3EOu11U9h3Wm$l?*xSkvNO(9d&5cFclg014U5i9IsWO3J%U%t#6W94? zU9AchPJPP4&{4^*j$<%*KGD!F&GEJl{6_G-oYUlIvpx1Xd_aKkX_fS-jmz89Zf8KW zNd`JCd4j#&h+kg@`5gOdeMNJ*5>!VM>T~iUfX?tTkQeaX@ECm!VfcOBDSvMSd4>4W zGoRu6y5Hr|B{WKc%e&1FNH55~XiQe-wI*zBN}cyv$qcbrdjKvWCHa@hpR|uvcs^(K zO5gSaUXDwLe|!}u;-?;S;2j(!AMtAS&0YR>(vqTALgL6yXoXSvy~=`P-WhH8ymga+ z#z<4=vL=8d6uocXnY^bBArxo2@x{_|Q+?qGMI_nXqMH?ZdY%jHeK&3=k7bG7Scz9K z-A$~_&A1Se_earD!qjgaMqOyMi?7_^Mgbsk@lLBB#N%c_K$b|Y%PFIrqN$}|YK#?o z`O2yw)k@OCs#Jiu(G@PxTu3pyE@04(L82bWd^q?=YY_cCluy^3Y^o|35(|HAQs`b1x@eE%tI3V&fHYLTqp8))hmA`KyOjC&WG zT|=l-Hpcpf?95D?VAsUR3Cy6hMd|60hQ5~>9NT%#oV3jEAdYG7gESNEI1rx>SIc&c z0}4MKIQYKfg744<;AcZ$O^YChE#&qrp3AKs03@Q2;4IxPUhXZ-&Jcj zQ`7Q(qqP~Q3=I^x86k;Brrbh>9_jswTqSfZPUA*+esI#tw}YDg;s z5WitZY%ZZ*>`&XP=Z@zDGi4NcAYDk9f+{6fv4!%X*G<30wTWx(S%U9*ruJe7&T=ou z5pKY$JI)=WdukrXOQCyznP!XrJIf_!>sXAU96Z7Sz!xD3%*kUxL1=u&F&GAm=9c{u zHhDFgD*!J9_6DU#!7;>fR=ALyxW$Z07iS+l4q%UWTQN%w`^2S7$^Z!!MLVi!_@BxI zPQM|utHNS$hk&)gPzR9Mgx?sK>w*N9+a8CDeH^?Qk{t`^PtKL~>|q)FZwqe z6j*IqmT&CdSA&s3o442vb^CZ&#i{i;*Q7_{}6_?;wl9aIBS~SP=YP z)~o2M^{K6cpWteOMGeliXTw}-#8PpTLi(09${`MNvl}|ZMq$6?F~{e1ChC~(d(V5d zLj-M^#bo+ZjKAwh1V=RM+uVlbZov-Cp+o>Ev0qS&pkBixNKe>9Y0?myhMHfK02?D^oMtC1po>v|8gui{ zUi%3}m_n#q3o&Wmum?ofqz}dOh(djl!OabL$XRg*<$ra5AJY;1*d9q zAx>Y0Z&h-;tCb?o&J2iep3r6jwt>bNYKur9{PCj+oSvYF6qv0y2Zs{0*p`297_4&t zLcktmZx@SXSbR=pS?L>19+>rT>+H<>-G3Jq`V%yRQ!L`pekaFxLHU5YJ}y!%r8m-$ z*H*byo@27eVV*-vvD1A%b=Ulq7RS{hx{?p zten9^E?VhehICD8`_1*aW~kiF)p88+8qY+ZC2XusE*D^D$(BY3-0lNA0?Us|C|GHH zZ2(LIvuc1CE1o8|gm1U6?-rnO$|hB2_?nVWH}!t2L#EFb~k!KFC~eG`U6GJ zvTXtn$U5b$&r;mx1IRs#TVK_uO=O$g{KZqhi1{8$-b?4X)&fFesFOdYs^BC&aypa;SIVUSo}a(KZdGJpj#cd3s{gw7XV#bvDWy$ zeY7FVOM3xoBM&rdPyThocKpC6zgh4`Iy$tCR80hQat_=8vNi&^=myG*7cY*9Lvrpu zIS1+{HcL78!e}d^8#a8{da&vT`V%Z^f}D55_mGK7J53%3Q8!do zX%P1DM<2)X#EQNEUA| z{IX4IY;_~pIvzk`Wue<}S{&=cJ$#@5SmS^jVB-fX4tU`Op;rzokRqTE%pXvGcqYDS z0U+s=+yy$Tc4fJvL+3;TkkX#g8e(f_X&C@UV&c$`SAJ6#O{5j?wW*PlHs?Abiz%Dh z2o2)28Ck^-G7a$lr#e#hm(Tw)fLdD0fozZiWl3)xx;X^0j)&4TA*3v;D>(&T-v?V!)17rcu-~mI=oDvx^*-S37A2fmHZtB3eoHEpdfR1>?2|BVy zBh*3)CgDslCJ=yJTEdcP)0N_$k9Y!6kB@>I@(11O$h|-~bGaE>vqL7`K%MaG^n_Ph z2U`7a^?pzx=@u_ft{zCfG=$`+2HMaAl(%O$|CtdZjn%uuTwS)HSSwKg)#?x4WMo+-S1J+LcqLY0B?tqc#)sbs9HESEsU? zLT}ciQ(fzHcS@_g&Bf<4oBrL?fZlZG_v_c^z}9krWyz%=a3R!zY-`K!=bv0081_d@ zt~&Q?I{_Rhhosy4@rI6E1LF~Z;r4pg*78ifx~ZELA8V>f-2`)aJi8xuJPwRcui5eV z+EWw*2a|^;9LFP=;4`tgJwT~mruD`qN9*^umQJ9GXUg7^pgvZqw5ywV?h}*R_C?tI zmKM4d9-h6eY1$Gx`gz8e13kA6eSF!sV>}H|SetDv@@N19ymEy^T8YUSpc1q1)%R#| zEM#di&YZ_dC!G{Kc5MW+`b1EMPo{HEzO-QT`FY=U#^pWVw*FiFBMul|b=6g|RMTDq zt75XgW!}s$u8c41B25O*wxYsjG@E%?&v=-1%x~#E$H%G~hffKfp`P;F{AF3Cx{ai* z;sv1XASr9jt*f`j+z}Qw*;tB5S;^O~o>55uPtR~5UlD=qX5rhr|&U6%0eG{fF4DXU@fnYyzbSXWu%gIj>zJV^k@L6 z_AOZFZ_Ru1MSbO$&OOidEUSprT@a^y>%l2e@py+G*0*$Mx4aH$+vH{wlw&KDPhr^! ztNzj@4MjEkKYNq|eV0p*Hte<_3vk$!;oJ-xHh_vVZ2+r~@xaFpLxAHrQUD^(wWCh$ zG6kHgf46!VfTva)zba6(dzV#d{X6hZ;3E3+Q05S4)j;K^j@28Gm2PyfWvlrJ7s~xcMte( z>tFtL_y8xqZZB2f!Wx)bXX@R2SW`W$&rAy<4 zMn|YRvjy-jTC^zAWM0p*o!q%6>cHhRV{k@m*J-=P0bgGF@wKm3=Y9O&=NpiWVDgL~ zE)XE>Ocl>oKi76`dNGAM0eIy;_~3(aR0Ck=s-Y+y-Qb8@t|5ws)qUofXU5ibrv_>p zXA?Pu>*kwpj_0CB+c?$%;8Seq@$7!+Z4UG;^xkgYEv60t02F7PuvUSwEz>}WrOdi? z%&LQsfR3|5yz0#>!Nda|2cjv*0co~VbEAC!`0ocW10mL=BX21IzG7~IwD47&Rq7xm zE*K~40cHwDxj>6$FQ1*Q;`y2nKkV?Z#+}viP<4(wu;f#A9tq3UNPv67ZvZz?S=+X@ zQxN>o&V5mq!>(A!4y!_!ZQ{0uQ!2~;d08C#Z;SxAhk(8jj02;7c-9Ytch2Ldgwz|4 z@z1+3)qzD1&?!V`@F)XaEOmA2haH0heG7fZXy-9g35bD$lj^ujfE++~njc_t02IGE zYn1iK$_Cm%50J4i0h<#Z9mxtPxdfyKgj^)RYR^6Q4CUZ?^4@yut)T>53#?*Rxw-&V zWjor|n{~J*T*pCbtKVwP*n39n=a2t9tZ(ObDC3ilKWXi;`yOHG^JOasKm&hn7j6qm zf~7oAfv%%f0i(c*w|az<5?IyF6ZZkk+(oSB6)RT6@d4aAz>_NnkaCT13#kVXUQMTnKdPy%{8Oj5q zK8`j9W-LqKCCJM<=jR4I2|m&RCjMZc1T49K#4FP%!e`FhIpK$PY%0J5YVJ?}%jvE6 z-hVIB$}116nRO5JfUSDY+??r~{kMb!J;7ut+8VeFP zru7ZnGkCuA8SkiDa|Y;Pp|jZ46FsbO^A%p+!Kcq%lXC^iQ-{MleQ08&^c; zWBcDd%7H$h_h`dz4OxJLOM&|XcsVDWTOk80+*)xj=(RM@3yR$XxF$PYQvzP?#|I6} zS-D&-%a<>2{cP#aVq$XPxeHr+Oy46wA2>UcoPU``4wMAGZWFI2D=7*-bM^C5VBdfX zkO6hpGq9u>JnPIe&W!V|xmbWJCBovjYKJ8bxaBwE@N9DdEPNoVEH4V7IMf*}>Lny_ z%FCtVnSfNF94HhYG_%54*XWU7T4m?8XBi2(_8A-;43Jh=U<}N?Xu|taQ?YWDCGF)0 z0E<8OJAeJ1*0kNG#aZ$I5Wre_VWkBZ1uM~O@Ju!WA(p=T+#3Ux@7iaA)bN4_`Ak51?jU`>@DO> zWvEBbL+{;Y+y0cL#R~)yyz;3D8h{I6a)(G~B@FNdC^qg)`O+}BaK`{>*5bPVTG!g^ zTYClQ<;xcUr!x490Xv~gi#Ndv_;cq_B9`iTE=wDL0%q5K%gfqTAAo97(sO{K`l1W4 z=j7vOpH?rz{_N9GBI1<+`~k6RE*mZ*^$@3C6ix=bah*!geZSpjS+lAEx`|J|^Gq*Y z&K+cV%Ev#i(c|hdG3%aZqrvFJC`P>~9&;8HLus9(pEB_Z#i7a-cH3>Y#e}P8D61cO zn*(H{59qz!##==lumBPzXejVY)%obwUAqr(d;@ZpW&(1gtMa-ANYZgB0L3g9_=y8J zWn8_|@&Z5~;4P%Zsf@CIggWa3@LYRl24%ShaOzg(_gi|jD8sWnC(AF>DzAQ>&rpWZ zzz<6%198b*CU@v>)Kc&2<5T&7iK##g_p`=9e5pO@d6 z4){~BWf_^K|J|D$AZMRD;ChqBK2=-6fp%cvei>H>>hh7&wX+c0#g%1eS))Bex^B~E zIrTjCYw1R-?`Y2%?OypDR<(Mkm7Q_E>v^*tzKvMg#g}D__FF#BtGi=HOFQ28N}4F1 ze%SUL=mYw;=V`yhNyLG)pwqJTy$SFXrywG0lT#5p#6{YTpq1s7d9y6vLZzDGJAtmu z6A?uk*UA#)`$D*t%)8~`w^SblOAF&~_*Sx26jhK!Y1Oi=CQI@|Cz&4<@65<2@On0X& z5QzA@jhvjOikuv?CdTQBjlCrZq#T}@OrWDZb?f<1(>gQ<5A|X=ojDV9A9X#OnL(bN z4NAlwLY2lqOCLm`paA(C78AxLh6KZJbv$z*-+C$|FV8?gqOa*q?FF%V(sVTb)h;sw zCVsY6b!5D1aX}5jP@>uT0uyn1s8l=SWSgsxL*(gx5HW-94ufn#?Ph5CsIV~pz{&k{ zz1vNA+2JP*1M=komzR&!6WbFjaROhF-&;_gOeL&kUE(ohO9BU?XlPbd6>gkEOoavR zGq*8uq=@!fk3b651RUTT$dT)&oS>g}M@nz!8!UZ0s7Cz6_m7mbn zSGb_XsBa21xPzKN>7IZarzDTgU|WLs!sy+3wQf1jQLPg?kUhr~L)su}?Vp>52`>)+;F{7)% z)D#-;M&%8jIdlRAGcSJT5Icm~0*_pp5g7 z8CMzS+A%K9OAy6wG~UZ4w&fKS&a}PHl*^HL63q!+GLFp2T~zNKtg!T3^jn~mx*=_) z@4W82uTf)Y!R9Rw&^J|bPN%MJIR5;kHi#=vP-;n3+jCi7)R1E^bvK7oia(Gr;pG(( zZ}#=5AiPQ(vQKzkASQAUN=9r%1*{L5RF+Ov=B$5wM;|Xj_KyB_kzm`(8(a8ipJbhB zssoqig~YD&1v@(5_(st57}N-Ae@qo6OCA#3LykA{jFefshYl0C_L79)Z|E^{6@3@A%kXV-kX%OW;J3bCGQI3mUqqN6i7=^G*T#K5uqHSU?QL6 z=HjBcQ+KCdkDRMir|7=e8)w-ZjRjVfL<@yoR`xiHH|}qc_r=%w)_GIaL|D&W-sru* zi^NEtke*PS1hXh$b>rUlXc^_`=S`M+ssBo(l zWzsHYnQqyh1pzPRMN!h z@6+DDz{J3_pFa@PGcV46n^?@Cvw8ovuHFOB`>_v(v@5ivb7s*BS_4IDw)iy}J}Ewt zrz&z9!8xs8^h>ZsF6v871u+G&9C}sqRVsT0E1bM(x`Db42zI)@nip zw+rc<;6L~oMFjX$?cR^QY5o5CPHTc=pXiL)w9V;k|F^q?_R$X`rvzQqT?@Q}yn|10 zN#2LnDtu5V>%4|8WuJl1U_M&b-n3t~@2o9;*I;|i@S{FSX|3T=e_KB$ojv1$_~wUe zz0XbK%|{=PTA^#MRq<9kyn8DA)xu+O>spn#RX~mFhtHK?%{}K#zDRX64>u27Mh7S2 ze$DAxc+NT{Fzga)Ub1AzX~$VUN>(U7NVQr&XqO?L(Nb5}5N1qg{M<<0DBifXezu?l z%erQ{PvS@;`l$A%WA}_y!^b-G%=M2~>!wR_Ki9_I>HR-%EIUANpV$ zUp4vfZybp1Kk=UMkvPKsAP9JgY_E4gUf??sHV=%MzfV2rUm%}&X$iHGQ_0cF`H~ac zUfR}S>fpLi4|NqCe9AxM_S)G5EkXMkz|D(y0uY&ZGvV%UQ}r{XNd#AAcsACVCb!E^lOJzc||w zhlfKV0;5sJ+~dC2P&4djI@=Z*Sxs$u7x_-#M!@b@oP`?3X!r8_P^q&nuN_-x>U&HviUN3-*hoE|T>(zqRTNjYW)ENodR}&XUiiKk5y*^YexdiAf<|;kKG@7UOG^ zWU1E_$=HPOA+ zqYg7mVck519IJAU_CMkz5+zJ$6a7lgYfggkg7BnyWnreUb$#19w=W~jmQj`;ljJ^Y zCwZ3gn`l*=J+>U~ds-4!GNN~(YptiRb?oT=ZQ}z=Q*NTd#T?$#3C&XdyL`<}UFHLW zJJ>mr<{g90I*-li3igaw=zNd-#Qdz!la|T;l~*|%FMhed-E8PH?(;0|E~hSUscH3X zZzfKRcouOP?J6qbl#rvzGo`Ts#d9T1 zwQf7fNK@mT=ANfko5q`)N1H!jPJy>AuE`O+B6DNfm!6!q9<3`0pVsjqq<_WWbLqM} zR7>`P@rM{ndgM5A9riWmeoT^(+`!2|JMVeY?0CrdYjbEfa#~_K=F;}eZpNj3Ntkm? zBO#0J^<5;wzj%I3`D4+=vd!%JWlSf-(NITLy^F`?RJm);DqqHRiGYH5toO#V)zBsC z85rY7`Ia%v)G}u8<|>a;fa~S9buwCS@4-Y#*^J|igQTm^J(Im=kJE;$gFVp{QNFnh z&#G13{xb2}c*mpJg>T*-qDwzEeGx}pKPvnJy)}0=PfV9tXOwDM3@>NLHb;DOhgx>} zmWsNM&ZaJ4ua#f>F>?8+`Wqmu`Sq{*7p8vYe9HN;O7i-8BY6{z@5A#KeN10X9yXpX zYh+1Rkal0c-gv8pF+lrJchg};ywH<@m4Y=^QBbLSHra3Zv~q{_!hE%`P9xa7KFcMm zq*>qJ=8W$2pw(;TxGs$SiMlEd6?}e72Q)hd^+DiZ$-)(H$f{0b={{WsuurU^d9#O(fZihqMdsx7lXZEx(E`kj|Cg6c#- z&0*c$-5+9O1Ezwhe5nHux9((0o9chxE^IR*8L!=LzSM}8Iw1S09vhI=Dvx(>erK-* z^u&pUP+g-S+Hxu?0Ms_eSXw%|T06O!h$$!lq{eM@^xgE;)sW^+4t%B-PG**TUJlN` zQ9u%2NTBOr>1N98MLEu`vI!#m!EVMPFT$SZPP6X4^A{Y@J{mH0i2)U@%kwAYunaRAf<@Q@Nf2ub|0|NpK0!|_kd2d~EV%5fe)% z3xPnSDk}1_I$k*2nd*)=Rc%ZN}o%y7&p87`1rVZc!n|wttEJ^ST^C0D{Kief1J}1LQdwYBLkAE$B z_jnS~O9Y8l%=uMdcL)jQY)PWXH3=zH2N7Oi;)Qub`ydK1F%;E{AkdJ3()&g7@}p#+ z@?413c_OZmV5fI@iiBJtgzT&I5;&pGKY2fVA`H3YjEGxrGBK5B^5mu=~_fK zUD4GzBJq~&8F?9R!v{A8>_zSY-)0YG8%D5#ou3;gl;3u>|05Sps3uimdbFwxG-?{L z$ETWINB&yE8*Xf5RC;=_HC06(LJzzq!`a@=>!xhP`NF%-fdi0mqh`wVa4M(N`p7=W87GzpvBJN(iB<)~NQt`-Fo=hVie zXxso3@P^Q>+~veiMbVuB3LR8=I<_CLQdr}5q~(x*O{mjBz+)I?jWd>FPN_*~emGD{ zLRoiS{+65=>|P>3l#!Li6Cz+}HO@}d7;tr287jlsXhCJyADO1xw|seV=6hu%mTDLw zYot1B-}EEV|M6p=v%_suk{rF`l`q$WhO(qJYMthE2`{QU)C|av_t!`F*RZUi!{BCt zGw9FlueIw7?JtOPvXW9%NWjt;+lA{tWzpwHss^3$Px zvHDuytQqppD9ZBOjLaJ7_vlSkIyTh-$4fvr|-vs>nd?-*4Y)V$(Dt)N)mP z&WpSyoch@eR?%CD?RD74T1Ci`s_sx*${f6U8#7K3jV8^#h#rhwLDlefN06A(ezGHq zk^w9{%d zQT1$wc=T=w)-^)*NcPQ#yHI(sm=c&3Fbb<%FTEaTHo2~neINzkk`xUVF`GBUBqf`? zPIi|&horAE8oLKfdQ*(vkm_BiD%x|t9dXGM$lVJgDx0};_nM{ywx*gXT8p#~fmA%v zilW;qn!OS|JWZaUhM6?h{S-%Sd;rc5*})-V0~5D?l>vUfGT;`9p3|6@{X>IS`3Tzh z%y$+Us74!UByIi;orv2EkzHYfd37DktNUr=icF6<{1ccCf^8!);eX8UCwy`joeO9_ zpNLhQklh`+p7lvO;G`BMb}nLQ8X_~Ul&1_@RelTs95{q8b!h|gK7?G@-eNGfAhQ2@ zXTEp-dYpF@ok(A5-LSvKGaKI2elFbN=)*i@*i$#gWhJ|bCokC{+-(9xQOba_Cxu=4 z?#V!@ls2BT0`_F}7|4jEJno*`(a;_=pX~kl15nD{{bLWfi*Gkq(@RXjxwXm0x7h>5 zBc4pO&?=yh50n=N0$aHOg>_SFkaKGxAA*4vLLguvdFfFA<)~TNJ(yf}^}`stj|mqs zfM~fHG*ro5T*-7UdG+6EI!D~USLW6rYG&NZo*-sin%Veo{LI6uwH>M70Q}3brE>^E z)%M45O_gx}m{)Q!opgL~NP#oHS};k?w5YzCsVv_cTUVWArrFjJ%7~7MQD9n#Sy4OD zA~jQp&D0*cgZ~9>7ru@u<$>Of-!lN$0FGerCVEsDCv@1|SFQXOAZ=u|O9RKS8X-b4 zN{uo)&a}i-^N!;f)yNF0w8!hdLv<1+CnN6+D*>-PqkCwEK`7Q}@#&RaEqMt-&jpCC z48dhU6pS#Z_gtCk|1 zH|Jr3%cxRJoxJN{INI)r;WK4hv#c>^&@3R~EYeI$9e^B@*QRd+k{T-Y7ZL$kDlDy> zD=6clM^iDHp|i{-mqEC;17-mGqKkAKtJ5AtTye=7C7C}6sU+Q~f%vdyllyFjod`j* z$aTUj^GS+ zi%=`9#*V7@A!ti8kz9P4%_EH&=eeb8<PKwdv79Q*yX&9>E^C7 zFgY~{AY80T4bbM*OgLfVvUaXrsvQRw2>01!$P=)?P@2kdvkef}quaH|sez~zVCVqO zAHc-4s%CQ8I@(D0RfMcJ4DM@1S^H0H8}AL}xhIrIFW!ea^`WXVkjww&(171aHKdbj z718#xZA*w`s@=DaVoWdS4zrnUjy*QHb#nmG#|+_CXF1$Y5sO|PL!W5zQ3bDP#j3t9 zW`R6gOo8~Y0Isz0yj}=!sk9tXXAQuWG-mjdpFoNUgQCpFq7)}yP2~x|t+Y-p7P%DH z-&qePFr})UzQBXOu6`tx%%z>CBw2WFz1{rVIh`=&@iM%?b$QEX$xU4b>Ndj|U!oub z9b<9GXeRnD@%-til8N1r20qWez9-yD{4I7m!&@9@L`Fz){dY!Q{ti5P-kKLGX$@j) z5h z+Of580a}dei{H1^iV}yIt%Z%rJtH$2f!uTJmgN+bKIJc;cpxose09X40c!uNP|%@3 zjcvu@u-&M=yT~zN(arvDf$(#-2|D|q zqKY_&$Rqer5wPqy#hwicr~-S|ULrozMyBzxsCG%(Zehk(oWsY_C(9{@8x+f^8mz=`2^XYB#r|JTbXSZuR0x&=^1IH);trceLjDf^vT+?o0 z0Kl@I+qFD^&zE?lsQrdFy_Y-ypLhF07H^|4?+KOg`kDQJtSeDQ5G;Lp(7p36AVpA2 zS~^S0@0h>I=fIY6*BDHo{#OBiYO=I5M?uzL78(CZ7;;Hqqt3S_DuLMg{Ww%nxF=tZ Idi?Bv0D+q2y#N3J literal 0 HcmV?d00001 diff --git a/notebook.tex b/notebook.tex deleted file mode 100644 index 7855b0b..0000000 --- a/notebook.tex +++ /dev/null @@ -1,681 +0,0 @@ - -% Default to the notebook output style - - - - -% Inherit from the specified cell style. - - - - - -\documentclass[11pt]{article} - - - - \usepackage[T1]{fontenc} - % Nicer default font (+ math font) than Computer Modern for most use cases - \usepackage{mathpazo} - - % Basic figure setup, for now with no caption control since it's done - % automatically by Pandoc (which extracts ![](path) syntax from Markdown). - \usepackage{graphicx} - % We will generate all images so they have a width \maxwidth. This means - % that they will get their normal width if they fit onto the page, but - % are scaled down if they would overflow the margins. - \makeatletter - \def\maxwidth{\ifdim\Gin@nat@width>\linewidth\linewidth - \else\Gin@nat@width\fi} - \makeatother - \let\Oldincludegraphics\includegraphics - % Set max figure width to be 80% of text width, for now hardcoded. - \renewcommand{\includegraphics}[1]{\Oldincludegraphics[width=.8\maxwidth]{#1}} - % Ensure that by default, figures have no caption (until we provide a - % proper Figure object with a Caption API and a way to capture that - % in the conversion process - todo). - \usepackage{caption} - \DeclareCaptionLabelFormat{nolabel}{} - \captionsetup{labelformat=nolabel} - - \usepackage{adjustbox} % Used to constrain images to a maximum size - \usepackage{xcolor} % Allow colors to be defined - \usepackage{enumerate} % Needed for markdown enumerations to work - \usepackage{geometry} % Used to adjust the document margins - \usepackage{amsmath} % Equations - \usepackage{amssymb} % Equations - \usepackage{textcomp} % defines textquotesingle - % Hack from http://tex.stackexchange.com/a/47451/13684: - \AtBeginDocument{% - \def\PYZsq{\textquotesingle}% Upright quotes in Pygmentized code - } - \usepackage{upquote} % Upright quotes for verbatim code - \usepackage{eurosym} % defines \euro - \usepackage[mathletters]{ucs} % Extended unicode (utf-8) support - \usepackage[utf8x]{inputenc} % Allow utf-8 characters in the tex document - \usepackage{fancyvrb} % verbatim replacement that allows latex - \usepackage{grffile} % extends the file name processing of package graphics - % to support a larger range - % The hyperref package gives us a pdf with properly built - % internal navigation ('pdf bookmarks' for the table of contents, - % internal cross-reference links, web links for URLs, etc.) - \usepackage{hyperref} - \usepackage{longtable} % longtable support required by pandoc >1.10 - \usepackage{booktabs} % table support for pandoc > 1.12.2 - \usepackage[inline]{enumitem} % IRkernel/repr support (it uses the enumerate* environment) - \usepackage[normalem]{ulem} % ulem is needed to support strikethroughs (\sout) - % normalem makes italics be italics, not underlines - - - - - % Colors for the hyperref package - \definecolor{urlcolor}{rgb}{0,.145,.698} - \definecolor{linkcolor}{rgb}{.71,0.21,0.01} - \definecolor{citecolor}{rgb}{.12,.54,.11} - - % ANSI colors - \definecolor{ansi-black}{HTML}{3E424D} - \definecolor{ansi-black-intense}{HTML}{282C36} - \definecolor{ansi-red}{HTML}{E75C58} - \definecolor{ansi-red-intense}{HTML}{B22B31} - \definecolor{ansi-green}{HTML}{00A250} - \definecolor{ansi-green-intense}{HTML}{007427} - \definecolor{ansi-yellow}{HTML}{DDB62B} - \definecolor{ansi-yellow-intense}{HTML}{B27D12} - \definecolor{ansi-blue}{HTML}{208FFB} - \definecolor{ansi-blue-intense}{HTML}{0065CA} - \definecolor{ansi-magenta}{HTML}{D160C4} - \definecolor{ansi-magenta-intense}{HTML}{A03196} - \definecolor{ansi-cyan}{HTML}{60C6C8} - \definecolor{ansi-cyan-intense}{HTML}{258F8F} - \definecolor{ansi-white}{HTML}{C5C1B4} - \definecolor{ansi-white-intense}{HTML}{A1A6B2} - - % commands and environments needed by pandoc snippets - % extracted from the output of `pandoc -s` - \providecommand{\tightlist}{% - \setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}} - \DefineVerbatimEnvironment{Highlighting}{Verbatim}{commandchars=\\\{\}} - % Add ',fontsize=\small' for more characters per line - \newenvironment{Shaded}{}{} - \newcommand{\KeywordTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{\textbf{{#1}}}} - \newcommand{\DataTypeTok}[1]{\textcolor[rgb]{0.56,0.13,0.00}{{#1}}} - \newcommand{\DecValTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}} - \newcommand{\BaseNTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}} - \newcommand{\FloatTok}[1]{\textcolor[rgb]{0.25,0.63,0.44}{{#1}}} - \newcommand{\CharTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}} - \newcommand{\StringTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}} - \newcommand{\CommentTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textit{{#1}}}} - \newcommand{\OtherTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{{#1}}} - \newcommand{\AlertTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}} - \newcommand{\FunctionTok}[1]{\textcolor[rgb]{0.02,0.16,0.49}{{#1}}} - \newcommand{\RegionMarkerTok}[1]{{#1}} - \newcommand{\ErrorTok}[1]{\textcolor[rgb]{1.00,0.00,0.00}{\textbf{{#1}}}} - \newcommand{\NormalTok}[1]{{#1}} - - % Additional commands for more recent versions of Pandoc - \newcommand{\ConstantTok}[1]{\textcolor[rgb]{0.53,0.00,0.00}{{#1}}} - \newcommand{\SpecialCharTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}} - \newcommand{\VerbatimStringTok}[1]{\textcolor[rgb]{0.25,0.44,0.63}{{#1}}} - \newcommand{\SpecialStringTok}[1]{\textcolor[rgb]{0.73,0.40,0.53}{{#1}}} - \newcommand{\ImportTok}[1]{{#1}} - \newcommand{\DocumentationTok}[1]{\textcolor[rgb]{0.73,0.13,0.13}{\textit{{#1}}}} - \newcommand{\AnnotationTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}} - \newcommand{\CommentVarTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}} - \newcommand{\VariableTok}[1]{\textcolor[rgb]{0.10,0.09,0.49}{{#1}}} - \newcommand{\ControlFlowTok}[1]{\textcolor[rgb]{0.00,0.44,0.13}{\textbf{{#1}}}} - \newcommand{\OperatorTok}[1]{\textcolor[rgb]{0.40,0.40,0.40}{{#1}}} - \newcommand{\BuiltInTok}[1]{{#1}} - \newcommand{\ExtensionTok}[1]{{#1}} - \newcommand{\PreprocessorTok}[1]{\textcolor[rgb]{0.74,0.48,0.00}{{#1}}} - \newcommand{\AttributeTok}[1]{\textcolor[rgb]{0.49,0.56,0.16}{{#1}}} - \newcommand{\InformationTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}} - \newcommand{\WarningTok}[1]{\textcolor[rgb]{0.38,0.63,0.69}{\textbf{\textit{{#1}}}}} - - - % Define a nice break command that doesn't care if a line doesn't already - % exist. - \def\br{\hspace*{\fill} \\* } - % Math Jax compatability definitions - \def\gt{>} - \def\lt{<} - % Document parameters - \title{Lab\_01\_preciosn\_accuracy} - - - - - % Pygments definitions - -\makeatletter -\def\PY@reset{\let\PY@it=\relax \let\PY@bf=\relax% - \let\PY@ul=\relax \let\PY@tc=\relax% - \let\PY@bc=\relax \let\PY@ff=\relax} -\def\PY@tok#1{\csname PY@tok@#1\endcsname} -\def\PY@toks#1+{\ifx\relax#1\empty\else% - \PY@tok{#1}\expandafter\PY@toks\fi} -\def\PY@do#1{\PY@bc{\PY@tc{\PY@ul{% - \PY@it{\PY@bf{\PY@ff{#1}}}}}}} -\def\PY#1#2{\PY@reset\PY@toks#1+\relax+\PY@do{#2}} - -\expandafter\def\csname PY@tok@w\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.73,0.73}{##1}}} -\expandafter\def\csname PY@tok@c\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}} -\expandafter\def\csname PY@tok@cp\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.74,0.48,0.00}{##1}}} -\expandafter\def\csname PY@tok@k\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@kp\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@kt\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.69,0.00,0.25}{##1}}} -\expandafter\def\csname PY@tok@o\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@ow\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.67,0.13,1.00}{##1}}} -\expandafter\def\csname PY@tok@nb\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@nf\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}} -\expandafter\def\csname PY@tok@nc\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}} -\expandafter\def\csname PY@tok@nn\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}} -\expandafter\def\csname PY@tok@ne\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.82,0.25,0.23}{##1}}} -\expandafter\def\csname PY@tok@nv\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}} -\expandafter\def\csname PY@tok@no\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.53,0.00,0.00}{##1}}} -\expandafter\def\csname PY@tok@nl\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.63,0.63,0.00}{##1}}} -\expandafter\def\csname PY@tok@ni\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.60,0.60,0.60}{##1}}} -\expandafter\def\csname PY@tok@na\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.49,0.56,0.16}{##1}}} -\expandafter\def\csname PY@tok@nt\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@nd\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.67,0.13,1.00}{##1}}} -\expandafter\def\csname PY@tok@s\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@sd\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@si\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.73,0.40,0.53}{##1}}} -\expandafter\def\csname PY@tok@se\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.73,0.40,0.13}{##1}}} -\expandafter\def\csname PY@tok@sr\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.40,0.53}{##1}}} -\expandafter\def\csname PY@tok@ss\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}} -\expandafter\def\csname PY@tok@sx\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@m\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@gh\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.00,0.50}{##1}}} -\expandafter\def\csname PY@tok@gu\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.50,0.00,0.50}{##1}}} -\expandafter\def\csname PY@tok@gd\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.63,0.00,0.00}{##1}}} -\expandafter\def\csname PY@tok@gi\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.63,0.00}{##1}}} -\expandafter\def\csname PY@tok@gr\endcsname{\def\PY@tc##1{\textcolor[rgb]{1.00,0.00,0.00}{##1}}} -\expandafter\def\csname PY@tok@ge\endcsname{\let\PY@it=\textit} -\expandafter\def\csname PY@tok@gs\endcsname{\let\PY@bf=\textbf} -\expandafter\def\csname PY@tok@gp\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.00,0.50}{##1}}} -\expandafter\def\csname PY@tok@go\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.53,0.53,0.53}{##1}}} -\expandafter\def\csname PY@tok@gt\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.27,0.87}{##1}}} -\expandafter\def\csname PY@tok@err\endcsname{\def\PY@bc##1{\setlength{\fboxsep}{0pt}\fcolorbox[rgb]{1.00,0.00,0.00}{1,1,1}{\strut ##1}}} -\expandafter\def\csname PY@tok@kc\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@kd\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@kn\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@kr\endcsname{\let\PY@bf=\textbf\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@bp\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.50,0.00}{##1}}} -\expandafter\def\csname PY@tok@fm\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.00,0.00,1.00}{##1}}} -\expandafter\def\csname PY@tok@vc\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}} -\expandafter\def\csname PY@tok@vg\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}} -\expandafter\def\csname PY@tok@vi\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}} -\expandafter\def\csname PY@tok@vm\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.10,0.09,0.49}{##1}}} -\expandafter\def\csname PY@tok@sa\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@sb\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@sc\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@dl\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@s2\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@sh\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@s1\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.73,0.13,0.13}{##1}}} -\expandafter\def\csname PY@tok@mb\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@mf\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@mh\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@mi\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@il\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@mo\endcsname{\def\PY@tc##1{\textcolor[rgb]{0.40,0.40,0.40}{##1}}} -\expandafter\def\csname PY@tok@ch\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}} -\expandafter\def\csname PY@tok@cm\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}} -\expandafter\def\csname PY@tok@cpf\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}} -\expandafter\def\csname PY@tok@c1\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}} -\expandafter\def\csname PY@tok@cs\endcsname{\let\PY@it=\textit\def\PY@tc##1{\textcolor[rgb]{0.25,0.50,0.50}{##1}}} - -\def\PYZbs{\char`\\} -\def\PYZus{\char`\_} -\def\PYZob{\char`\{} -\def\PYZcb{\char`\}} -\def\PYZca{\char`\^} -\def\PYZam{\char`\&} -\def\PYZlt{\char`\<} -\def\PYZgt{\char`\>} -\def\PYZsh{\char`\#} -\def\PYZpc{\char`\%} -\def\PYZdl{\char`\$} -\def\PYZhy{\char`\-} -\def\PYZsq{\char`\'} -\def\PYZdq{\char`\"} -\def\PYZti{\char`\~} -% for compatibility with earlier versions -\def\PYZat{@} -\def\PYZlb{[} -\def\PYZrb{]} -\makeatother - - - % Exact colors from NB - \definecolor{incolor}{rgb}{0.0, 0.0, 0.5} - \definecolor{outcolor}{rgb}{0.545, 0.0, 0.0} - - - - - % Prevent overflowing lines due to hard-to-break entities - \sloppy - % Setup hyperref package - \hypersetup{ - breaklinks=true, % so long urls are correctly broken across lines - colorlinks=true, - urlcolor=urlcolor, - linkcolor=linkcolor, - citecolor=citecolor, - } - % Slightly bigger margins than the latex defaults - - \geometry{verbose,tmargin=1in,bmargin=1in,lmargin=1in,rmargin=1in} - - - - \begin{document} - - - \maketitle - - - - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}10}]:} \PY{k+kn}{import} \PY{n+nn}{numpy} \PY{k}{as} \PY{n+nn}{np} - \PY{k+kn}{from} \PY{n+nn}{scipy}\PY{n+nn}{.}\PY{n+nn}{stats} \PY{k}{import} \PY{n}{norm}\PY{p}{,} \PY{n}{t} - - \PY{k+kn}{import} \PY{n+nn}{matplotlib}\PY{n+nn}{.}\PY{n+nn}{pyplot} \PY{k}{as} \PY{n+nn}{plt} - \PY{k+kn}{import} \PY{n+nn}{pretty\PYZus{}plots} \PY{c+c1}{\PYZsh{} script to set up LaTex and increase line\PYZhy{}width and font size} - - \PY{k+kn}{import} \PY{n+nn}{check\PYZus{}lab01} \PY{k}{as} \PY{n+nn}{p} -\end{Verbatim} - - - \hypertarget{me-3263}{% -\section{ME 3263}\label{me-3263}} - -\hypertarget{lab-1---measurements-of-machining-precision-and-accuracy}{% -\subsection{Lab \#1 - Measurements of machining precision and -accuracy}\label{lab-1---measurements-of-machining-precision-and-accuracy}} - -\hypertarget{how-can-you-measure-something}{% -\subsubsection{How can you measure -something?}\label{how-can-you-measure-something}} - -All measurements have traceable standards. There are seven base units in -SI - meter (length), second (time), Mole (amount of substance), Ampere -(electric current), Kelvin (temperature), Candela (Luminous intensity), -and kilogram (mass) -\href{https://www.nist.gov/pml/weights-and-measures/metric-si/si-units}{\textbf{1}}. -Any measurement you make should have some method to check against a -reference. In this lab, we will use calipers that measure dimensions -i.e.~meter*10\(^{-3}\) (length) \href{./museum-length.pdf}{\textbf{2}}. -Calipers can always be verified to work with gage blocks. - - \hypertarget{sources-of-measurement-variations}{% -\subsubsection{Sources of measurement -variations}\label{sources-of-measurement-variations}} - -No measurement is exact. No surface is compeletely flat. Every -measurement you make has two types of uncertainties, \emph{systematic} -and \emph{random}. \emph{Systematic} uncertainties come from faults in -your assumptions or equipment. Here are some examples for caliper -measurements: - -\begin{itemize} -\item - Your calipers were dropped on the floor and bent, now all of your - measurements will be too long or too short. -\item - The bar stock was not machined with square edges so each measurement - along the sides increases or decreases -\item - You align the calipers with the bar stock, instead of measuring - point-to-point. Now your measurements are only the maximum length from - edge-to-edge -\end{itemize} - -\emph{Random} uncertainties are associated with unpredictable (or -unforeseen at the time) experimental conditions. These can also be due -to simplifications of your model. Here are some examples for caliper -measurements: - -\begin{itemize} -\item - You assume the surface is flat, but it is in fact rough -\item - The temperature in the room changes the dimensions through thermal - expansion -\item - Your calipers are not aligned parallel to the edges of the bar stock -\end{itemize} - -In theory, all uncertainies could be accounted for by factoring in all -physics in a problem e.g.~Temperature-dependence, Coriolis effect, -electrical disturbances in your readings. In practice, the diminishing -return on investment prevents this practice. For something like -measuring bar stock, it is more than sufficient to report the average -and standard deviation with good calipers. - - Next, you will determine the probability that two groups of -samples--e.g.~group A and group B--have the same average length. This -process is called the Student t-test {[}2{]}. The variable, - -\(t=\frac{|M_A-M_B|}{\sqrt{ab}}\) - -\(a=\frac{N_A+N_B}{N_A N_B}\) - -\(b=\frac{(N_A-1)S_A^2+(N_B-1)S_B^2}{N_A+N_B-2}\) - -The t-test is based upon the means \(\mu_1\) and \(\mu_2\), standard -deviations, \(\sigma_1\) and \(\sigma_2\), and number of data points, -\(N_1\) and \(N_2\). The t variable for sets of independent variables -based upon the difference in means between sample sets as such - -\(t=\frac{|\mu_1-\mu_2|}{\sqrt{AB}}\) - -\(A=\frac{N_1+N_2}{N_1 N_2}\) - -\(B=\frac{(N_1-1)\sigma_1^2+(N_2-1)\sigma_2^2}{N_1+N_2-2}\) - -is a function of the two group means, \(M_A\) and \(M_B\), two group -deviations, \(S_A\) and \(S_B\), and number of samples per group, -\(N_1\) and \(N_2\). Calculate \(t\) for groups A and B by filling in -Table 2. - -\textbf{Table 2: Determining t for groups A and B} - -\begin{longtable}[]{@{}lllll@{}} -\toprule -Sample & A Length & \((L-M_A)^2\) & B Length & -\((L-M_A)^2\)\tabularnewline -\midrule -\endhead -1 & & & &\tabularnewline -2 & & & &\tabularnewline -3 & & & &\tabularnewline -4 & & & &\tabularnewline -5 & & & &\tabularnewline -\textbf{sum} & & & &\tabularnewline -\(M\) and \(S^2\) & \(sum/N_A\) & \(sum/(N_A-1)\) & \(sum/N_B\) & -\(sum/(N_B-1)\)\tabularnewline -\bottomrule -\end{longtable} - - \hypertarget{example-calculations-in-python}{% -\subsection{Example calculations in -Python}\label{example-calculations-in-python}} - -Compare two groups of samples: - -\begin{longtable}[]{@{}llllll@{}} -\toprule -group & sample 1 & sample 2 & sample 3 & sample 4 & sample -5\tabularnewline -\midrule -\endhead -A & 104.14 mm & 101.61 mm & 99.06 mm & 102.87 mm & 106.68 -mm\tabularnewline -B & 104.12 mm & 101.63 mm & 97.79 mm & 101.58 mm & 104.17 -mm\tabularnewline -\bottomrule -\end{longtable} - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}11}]:} \PY{n}{A}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{array}\PY{p}{(}\PY{p}{[}\PY{l+m+mf}{104.14}\PY{p}{,} \PY{l+m+mf}{101.61} \PY{p}{,} \PY{l+m+mf}{99.06}\PY{p}{,} \PY{l+m+mf}{102.87}\PY{p}{,} \PY{l+m+mf}{106.68}\PY{p}{]}\PY{p}{)} - \PY{n}{B}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{array}\PY{p}{(}\PY{p}{[}\PY{l+m+mf}{104.12}\PY{p}{,} \PY{l+m+mf}{101.63} \PY{p}{,} \PY{l+m+mf}{97.79}\PY{p}{,} \PY{l+m+mf}{101.58} \PY{p}{,} \PY{l+m+mf}{104.17}\PY{p}{]}\PY{p}{)} - \PY{n}{meanA}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{/}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)} - \PY{n}{meanB}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{/}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)} - \PY{n}{s2A}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{p}{(}\PY{n}{A}\PY{o}{\PYZhy{}}\PY{n}{meanA}\PY{p}{)}\PY{o}{*}\PY{o}{*}\PY{l+m+mi}{2}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)} - \PY{n}{s2B}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{p}{(}\PY{n}{B}\PY{o}{\PYZhy{}}\PY{n}{meanB}\PY{p}{)}\PY{o}{*}\PY{o}{*}\PY{l+m+mi}{2}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)} - \PY{n}{a}\PY{o}{=}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{+}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{*}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{*}\PY{l+m+mf}{1.0}\PY{p}{)} - \PY{n}{b}\PY{o}{=}\PY{p}{(}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)}\PY{o}{*}\PY{n}{s2A}\PY{o}{+}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)}\PY{o}{*}\PY{n}{s2B}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{+}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{2}\PY{p}{)} - \PY{c+c1}{\PYZsh{}tstat=(meanA\PYZhy{}meanB)/np.sqrt(s2A/len(A)+s2B/len(B))} - \PY{n}{tstat}\PY{o}{=}\PY{p}{(}\PY{n}{meanA}\PY{o}{\PYZhy{}}\PY{n}{meanB}\PY{p}{)}\PY{o}{/}\PY{n}{np}\PY{o}{.}\PY{n}{sqrt}\PY{p}{(}\PY{n}{a}\PY{o}{*}\PY{n}{b}\PY{p}{)} - - \PY{n+nb}{print}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{example groups A and B have t=}\PY{l+s+si}{\PYZpc{}1.2f}\PY{l+s+s1}{\PYZsq{}}\PY{o}{\PYZpc{}}\PY{k}{tstat}) -\end{Verbatim} - - - \begin{Verbatim}[commandchars=\\\{\}] -example groups A and B have t=0.59 - - \end{Verbatim} - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}12}]:} \PY{n}{df}\PY{o}{=}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{+}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{2} - \PY{c+c1}{\PYZsh{} Print out the table for df degrees of freedom (N1+N2\PYZhy{}2)} - \PY{n+nb}{print}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{df=}\PY{l+s+si}{\PYZpc{}i}\PY{l+s+s1}{\PYZsq{}}\PY{o}{\PYZpc{}}\PY{k}{df} ) - \PY{n+nb}{print}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{| p=0.05 | p=0.025 | p=0.01 | p=0.005 |}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} - \PY{n+nb}{print}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{| \PYZhy{}\PYZhy{}\PYZhy{} | \PYZhy{}\PYZhy{}\PYZhy{} | \PYZhy{}\PYZhy{}\PYZhy{} | \PYZhy{}\PYZhy{}\PYZhy{} |}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} - \PY{n+nb}{print}\PY{p}{(}\PY{l+s+s2}{\PYZdq{}}\PY{l+s+s2}{| }\PY{l+s+si}{\PYZpc{}1.2f}\PY{l+s+s2}{ | }\PY{l+s+si}{\PYZpc{}1.2f}\PY{l+s+s2}{ | }\PY{l+s+si}{\PYZpc{}1.2f}\PY{l+s+s2}{ | }\PY{l+s+si}{\PYZpc{}1.2f}\PY{l+s+s2}{ |}\PY{l+s+s2}{\PYZdq{}}\PY{o}{\PYZpc{}}\PY{p}{(}\PY{n}{t}\PY{o}{.}\PY{n}{interval}\PY{p}{(}\PY{l+m+mf}{0.95}\PY{p}{,} \PY{n}{df}\PY{p}{)}\PY{p}{[}\PY{l+m+mi}{1}\PY{p}{]}\PY{p}{,}\PYZbs{} - \PY{n}{t}\PY{o}{.}\PY{n}{interval}\PY{p}{(}\PY{l+m+mf}{0.975}\PY{p}{,} \PY{n}{df}\PY{p}{)}\PY{p}{[}\PY{l+m+mi}{1}\PY{p}{]}\PY{p}{,}\PYZbs{} - \PY{n}{t}\PY{o}{.}\PY{n}{interval}\PY{p}{(}\PY{l+m+mf}{0.99}\PY{p}{,} \PY{n}{df}\PY{p}{)}\PY{p}{[}\PY{l+m+mi}{1}\PY{p}{]}\PY{p}{,}\PYZbs{} - \PY{n}{t}\PY{o}{.}\PY{n}{interval}\PY{p}{(}\PY{l+m+mf}{0.995}\PY{p}{,} \PY{n}{df}\PY{p}{)}\PY{p}{[}\PY{l+m+mi}{1}\PY{p}{]}\PY{p}{)}\PY{p}{)} -\end{Verbatim} - - - \begin{Verbatim}[commandchars=\\\{\}] -df=8 -| p=0.05 | p=0.025 | p=0.01 | p=0.005 | -| --- | --- | --- | --- | -| 2.31 | 2.75 | 3.36 | 3.83 | - - \end{Verbatim} - - \hypertarget{problem-1}{% -\section{Problem 1}\label{problem-1}} - -Groups A and B have different measurements of the mean length. Is it -statistically significant? - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}15}]:} \PY{n}{Answer} \PY{o}{=} \PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{no}\PY{l+s+s1}{\PYZsq{}} \PY{c+c1}{\PYZsh{} replace 1 with \PYZsq{}yes\PYZsq{} or 0 \PYZsq{}no\PYZsq{}} -\end{Verbatim} - - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}16}]:} \PY{n}{p}\PY{o}{.}\PY{n}{check\PYZus{}p01}\PY{p}{(}\PY{n}{Answer}\PY{p}{)} -\end{Verbatim} - - - \begin{Verbatim}[commandchars=\\\{\}] -Nice work - - \end{Verbatim} - -\begin{Verbatim}[commandchars=\\\{\}] -{\color{outcolor}Out[{\color{outcolor}16}]:} 2 -\end{Verbatim} - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}17}]:} \PY{n}{plt}\PY{o}{.}\PY{n}{hist}\PY{p}{(}\PY{n}{A}\PY{p}{,}\PY{n}{np}\PY{o}{.}\PY{n}{linspace}\PY{p}{(}\PY{l+m+mi}{97}\PY{p}{,}\PY{l+m+mi}{105}\PY{p}{,}\PY{l+m+mi}{5}\PY{p}{)}\PY{p}{,}\PY{n}{histtype}\PY{o}{=}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{step}\PY{l+s+s1}{\PYZsq{}}\PY{p}{,}\PY{n}{label}\PY{o}{=}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{A}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} - \PY{n}{plt}\PY{o}{.}\PY{n}{hist}\PY{p}{(}\PY{n}{B}\PY{p}{,}\PY{n}{np}\PY{o}{.}\PY{n}{linspace}\PY{p}{(}\PY{l+m+mi}{97}\PY{p}{,}\PY{l+m+mi}{105}\PY{p}{,}\PY{l+m+mi}{5}\PY{p}{)}\PY{p}{,}\PY{n}{histtype}\PY{o}{=}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{step}\PY{l+s+s1}{\PYZsq{}}\PY{p}{,}\PY{n}{label}\PY{o}{=}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{B}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} - \PY{n}{plt}\PY{o}{.}\PY{n}{xlabel}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{length (mm)}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} - \PY{n}{plt}\PY{o}{.}\PY{n}{ylabel}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{counts}\PY{l+s+s1}{\PYZsq{}}\PY{p}{)} - \PY{n}{plt}\PY{o}{.}\PY{n}{legend}\PY{p}{(}\PY{p}{)} -\end{Verbatim} - - -\begin{Verbatim}[commandchars=\\\{\}] -{\color{outcolor}Out[{\color{outcolor}17}]:} -\end{Verbatim} - - \begin{center} - \adjustimage{max size={0.9\linewidth}{0.9\paperheight}}{output_10_1.png} - \end{center} - { \hspace*{\fill} \\} - - \hypertarget{problem-2}{% -\section{Problem 2}\label{problem-2}} - -Compare two groups of samples: - -\begin{longtable}[]{@{}llllll@{}} -\toprule -group & sample 1 & sample 2 & sample 3 & sample 4 & sample -5\tabularnewline -\midrule -\endhead -A & 103.5 & 99.0 & 104.5 & 110.7 & 98.4\tabularnewline -B & 108.8 & 117.9 & 113.8 & 107.7 & 112.7\tabularnewline -\bottomrule -\end{longtable} - -Calculate the t-statistic and the t-value comparing the average of group -A and group B. Is there a statisitically significant difference between -the two sets of measurements? - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}29}]:} \PY{n}{A}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{array}\PY{p}{(}\PY{p}{[}\PY{l+m+mf}{103.5}\PY{p}{,} \PY{l+m+mf}{99.0}\PY{p}{,} \PY{l+m+mf}{104.5}\PY{p}{,} \PY{l+m+mf}{110.7}\PY{p}{,} \PY{l+m+mf}{98.4}\PY{p}{]}\PY{p}{)} - \PY{n}{B}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{array}\PY{p}{(}\PY{p}{[}\PY{l+m+mf}{108.8}\PY{p}{,} \PY{l+m+mf}{117.9}\PY{p}{,} \PY{l+m+mf}{113.8}\PY{p}{,} \PY{l+m+mf}{107.7}\PY{p}{,} \PY{l+m+mf}{112.7}\PY{p}{]}\PY{p}{)} - \PY{n}{meanA}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{/}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)} - \PY{n}{meanB}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{/}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)} - \PY{n}{s2A}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{p}{(}\PY{n}{A}\PY{o}{\PYZhy{}}\PY{n}{meanA}\PY{p}{)}\PY{o}{*}\PY{o}{*}\PY{l+m+mi}{2}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)} - \PY{n}{s2B}\PY{o}{=}\PY{n}{np}\PY{o}{.}\PY{n}{sum}\PY{p}{(}\PY{p}{(}\PY{n}{B}\PY{o}{\PYZhy{}}\PY{n}{meanB}\PY{p}{)}\PY{o}{*}\PY{o}{*}\PY{l+m+mi}{2}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)} - \PY{n}{a}\PY{o}{=}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{+}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{*}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{*}\PY{l+m+mf}{1.0}\PY{p}{)} - \PY{n}{b}\PY{o}{=}\PY{p}{(}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)}\PY{o}{*}\PY{n}{s2A}\PY{o}{+}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{1}\PY{p}{)}\PY{o}{*}\PY{n}{s2B}\PY{p}{)}\PY{o}{/}\PY{p}{(}\PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{+}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{2}\PY{p}{)} - - \PY{n}{tstat}\PY{o}{=}\PY{p}{(}\PY{n}{meanB}\PY{o}{\PYZhy{}}\PY{n}{meanA}\PY{p}{)}\PY{o}{/}\PY{n}{np}\PY{o}{.}\PY{n}{sqrt}\PY{p}{(}\PY{n}{a}\PY{o}{*}\PY{n}{b}\PY{p}{)} \PY{c+c1}{\PYZsh{} your work here} - \PY{n+nb}{print}\PY{p}{(}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{tstat=}\PY{l+s+si}{\PYZpc{}i}\PY{l+s+s1}{\PYZsq{}}\PY{o}{\PYZpc{}}\PY{k}{tstat} ) -\end{Verbatim} - - - \begin{Verbatim}[commandchars=\\\{\}] -tstat=3 - - \end{Verbatim} - - \begin{Verbatim}[commandchars=\\\{\}] -{\color{incolor}In [{\color{incolor}30}]:} \PY{c+c1}{\PYZsh{} Leave this alone, execute to check the answer} - \PY{n}{degrees\PYZus{}of\PYZus{}freedom} \PY{o}{=} \PY{n+nb}{len}\PY{p}{(}\PY{n}{A}\PY{p}{)}\PY{o}{+}\PY{n+nb}{len}\PY{p}{(}\PY{n}{B}\PY{p}{)}\PY{o}{\PYZhy{}}\PY{l+m+mi}{2} - \PY{n}{tvar}\PY{o}{=}\PY{n}{t}\PY{o}{.}\PY{n}{interval}\PY{p}{(}\PY{l+m+mf}{0.95}\PY{p}{,}\PY{n}{degrees\PYZus{}of\PYZus{}freedom}\PY{p}{)}\PY{p}{[}\PY{l+m+mi}{1}\PY{p}{]} - \PY{n}{Answer} \PY{o}{=}\PY{l+s+s1}{\PYZsq{}}\PY{l+s+s1}{yes}\PY{l+s+s1}{\PYZsq{}} \PY{c+c1}{\PYZsh{} = \PYZsq{}yes\PYZsq{} or \PYZsq{}no\PYZsq{}} - \PY{n}{p}\PY{o}{.}\PY{n}{check\PYZus{}p02}\PY{p}{(}\PY{n}{tstat}\PY{p}{,}\PY{n}{Answer}\PY{p}{)} -\end{Verbatim} - - - \begin{Verbatim}[commandchars=\\\{\}] -Nice work - - \end{Verbatim} - -\begin{Verbatim}[commandchars=\\\{\}] -{\color{outcolor}Out[{\color{outcolor}30}]:} 2 -\end{Verbatim} - - \hypertarget{lab-procedure---measuring-tolerances-and-comparing-groups-and-samples}{% -\subsubsection{Lab Procedure - Measuring tolerances and comparing groups -and -samples}\label{lab-procedure---measuring-tolerances-and-comparing-groups-and-samples}} - -You are given four groups, A-D, of 5 samples, 1-5. You will use 4-inch -calipers to measure the lengths of the four groups of samples. Make sure -each lab member takes measurements. Measure the length of each sample -four times, fill in Table 1. - -\textbf{Table 1. Lengths of machined bar stock. Sets A-D, samples 1-5, -length measurements 1-4. Calculate the average and standard deviation -and note the lab member.} - -\begin{longtable}[]{@{}lllllllll@{}} -\toprule -Set & Sample & Length 1 & Length 2 & Length 3 & Length 4 & Average & -Stand. Dev. & User\tabularnewline -\midrule -\endhead -A & 1 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -A & 2 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -A & 3 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -A & 4 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -A & 5 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -B & 1 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -B & 2 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -B & 3 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -B & 4 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -B & 5 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -C & 1 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -C & 2 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -C & 3 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -C & 4 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -C & 5 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -D & 1 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -D & 2 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -D & 3 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -D & 4 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -D & 5 & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_ & \_\_\_\_\_\_ & \_\_\_\_\_\_ -& \_\_\_\_\_\_\tabularnewline -\bottomrule -\end{longtable} - -Sample groups A-D were machined with two different methods, a saw and a -computer numerical control (CNC) mill. There is a roughness associated -with the process and a randomness associated with the mounting and -cutting of the four groups of samples. The roughness affects the -variation of the multiple measurements on one sample i.e.~Length 1, 2, -3, and 4. The mounting and cutting process introduces variations between -A1, A2, etc. - - \hypertarget{your-report}{% -\subsubsection{Your Report}\label{your-report}} - -\textbf{Goal:}~Describe the measurements in sets A, B, C, and D. -Determine which sets are statistically equivalent/different (do they -satisfy the null hypothesis?). Describe the difference in measurement -errors between band saw and CNC sample sets. - -\begin{enumerate} -\def\labelenumi{\arabic{enumi}.} -\item - Introduction -\item - Methods -\item - Results and Discussion -\item - Conclusion -\end{enumerate} - -\hypertarget{references}{% -\subsubsection{References}\label{references}} - -\begin{enumerate} -\def\labelenumi{\arabic{enumi}.} -\item - \url{https://www.nist.gov/pml/weights-and-measures/metric-si/si-units} -\item - \href{./museum-length.pdf}{Layer, H. P. Length---Evolution from - Measurement Standard to a Fundamental Constant} -\item - \href{https://courses.washington.edu/phys431/uncertainty_notes.pdf}{Uncertainty - Notes} -\item - \href{https://www.ruf.rice.edu/~bioslabs/tools/stats/ttest.html}{Student - t-test} -\end{enumerate} - - - % Add a bibliography block to the postdoc - - - - \end{document} diff --git a/output_10_1.png b/output_10_1.png deleted file mode 100644 index 02f7fcaa76314694fb7eca86dfb280d5e0fb2634..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 5498 zcmcJTc~lc=*2Z5D0a>(zptcA|2qLQrA_B5Bge5E@JBk4XQNtEm!cGX-q7h{=fFQ~u zhFwClBw%7#+)zQ$gv~_25o`dS)MQD?emV}N>ey!<&ek7u8P+ro|Ct3Og5!zoD<#;$609l3A zO^h{?@(ns@inH^>d16oE;*OsQ0TIV>QQ=rzI3{R&Y{;2t3^sDRp@E@+k>2*xI9!z3 zu3i5bV1PYyYL|v0axDOgLn!1=Uhy~hBYjx^R|$`1Cox9p&5jqE9CnhnWcBhYrJINk zfIeOM5+BYOEcq&{7vf!Jt&_<(rz($8ZDyhtElX?U!-@H~~`tsd_fzAV-kiB)h+%bu>}e$H(WX!5Uz2 zIhG-sCi<0-XVN!Z%+FV%9;t8Y0jaY07k2I7_uw}EX@=Xf9XrH8$QM4AP^aZq^8V}G zWJm!i=G{{zbVmvrdw2HHwbEa5K&nyv=ZTB$^A)==At83O9)n3G*vk4S)1pT2#KMl)g~)YsUM!lyaZut`;(;wA-}GVMA|joV(#Yt9w6MEG`7*L1=U z_ou$UZii1lca9%}${^Co#wfM*yk;GYvEYtw&7N8nu$y34kHTs49X*iSxRzU4r_dfo z0^Tqs6C;(HE~rxbc0DEG+x2S}W4^k9{cfX#Qz!f4eA3S$kvL6lS0%po+DF<$2>f2V zrFC3o(mn+5QKs@_tssB4JIVAMT(=4z4h&2M1p!>LKxC0s6FA2oxbE5nM_(d#wkm#m&rONm4@ zib3+K8+d!8LOlIT(|Yn!-&2F}dwvNk4#N3gum$Kx6PC+i+^&e>6%bJLJHiy4NV&z?V0an2YrhVI@HzG z8R0X_2N5*Qhz*z-rz2(qyW$RjW9LRj&;y~yd_JG|<%?gYeeiD@GSAy2Q)N%DSS@=} zkGMWNiDkWm{(@E+fdI!~ci(*e^#I zaRZU9-P?>+1`*(m@e6+Ju0gvC06Yw(9;qFgHZwExsA6lM@Lvz*jzRTtMyDlSh^uVq zg3{uyq)vVYIl!-1K?Az~bQA1l5t7y4XJTJBz~XR<$N~FbGva0tdMDGNj5u64XDVMe z_T|S9a; z^-i3N#7H_*4HlPCEem!R+t@3>+zVPvX~Ax`tPvbTrzSM1FSgl=4pQwDVIc*(S$b2t z0=6p+>l|v2B$zHcvVPf18os)B-nIinuMJ_uL`Chc3Ke^kuIo#A|LIfI@n7I@Tzq^r zw0mPZ;b}lyyB5!9j-{s~ksnIvWBDz6qgI~lN(nd@Qs6QW zGjF&^{jF8}pMv)ngVNK_{jP58a3m)sd}+aY$&<^UZ*cd5Zgp1X&Lb+nk{pAwZSajq zLX+U-kqkI*BPu)GSCcdEnWW_< zG*|aw{#r=<>|{F67KN=_L?NahYLNhFsKMBjE5NL-dSw!4P_>F)8^N)kTsA7uMAj^~ z2!bcmeJ#YJeXfq*>d4)&*>-XfnV?gN0G;JqmUuh3gql$lwiUtWQtDcF%(|iof#C@t z)zI}bY#1+ies*-Q=hA?~ea0FPusPTk4lh9^?%M+UIxZ|BQ};Fja8!KtPB)4}v@57th-?yFNtAsBMWoGSE&~!_a8b^iL^gk>a2Ap$s;9 zhGUPte~4rIPw~ejKzydF5$U~?5FuLH311HPI>l9{wb~zO4`yH(#T0@?)2g$xZ==3N zvD#_ZNrU-!vZ#D-R2|IStyP&cb!Pz;xEbvBXS z5=ZFdlT+MAv@$z|epMc&Ou~&n%0#Vf4iJd2j(wKqOS1*N4K25=5|%fF6#RTVIkDn{ zjKS3gpZ4nfMS@rCkDDLeO=+(*y%yK_}jL?Sh3ALP_a?rEy&VnDNS2O=xN>Q_+~e*;3LbUbD;e{d^{V;kmT4$36hdPh61TS_ib$fZ?b zXg58)M~w>18Nk7p z=^3an_$9pkpkP1d3aZwlFkA^)C$fYRcgxpC?rTS1hV%N%Stm^(Ib>EXLMy`xZd zn0nDc0X9oXTrw6#%tYSx_wxp+>AMHsIcvO4vQrWVeg{r*bhd#g(;xm_Vg3aX{+qdf z4Dvayemto=mK|%39uv-wEAtwcJKirgi*RL3cQ1&pFDp4Z$sROc&3b#J#Ykjz+|BZh zysg8G8iF?qGAK4*L~Qd!Mu5~OO2#C=g8n=*5yEaJZ!8CAGD2~x<%~LOTzS2d{JZJ( z(8a)-44I2zBzi8c1@G@+1Q!gxe_<_!3#XrSWp68kG zMP(M)%MYNksm$Yy?_oXkcm;s6ww$&dHRhFlSIANrL}R_8T<$hy*dGkOb7?J*^L>oV zCEE(@We#KVUi>SNq+l^H=l(sAD(dyREeGR%Wrif_LTd-v+&C(0E$DSn*SNUX@cr;d zH}wc7t>Z7Uh!qf`2Q@e~eZ}tG;^4Q2YTgdJ2Makg3b`U}DemCn6BSudXmzl1&7V4- zKP30R+N1w9ND1mq;=)ZLTG=7a7X%oxWp>1v>S;nzRv0%@(OUx?Yq2p13{CQ8g(Cae z{PSdCjpZ~cPw0if!+Gv9d7{@9uF#`;LXV2}@PvF%qh=r3ZPnnS|738FUbstxvUt1n z2gU-M?YeL}>?IXV9r2No6Wn|I(^gctZu+zB5F`D6uPG=hAV*P20jd$C?VFgI7&q1k zaX3FwBbylC-=WV7Ey^;3{bvzA)JXwH9RtKd{@`|25po)Lp=F1AHj%0*DO#vkRCV%n zb-be|!8$_WRc6)gnzBfk0@( zX%|{zpepUavQz2&mM+LAQgeBK*?s=6@cz-F{>`AeUvqwC{%#8q7C)D+Dnqd$2Rim$ zxTKFxp)Qf3sr{&7W7i3H@G4>wMg@;Kyuz zmOp7zvq5_R`^~hm%2d(wgp~I7eVFcYo41EpZPar|p%d*NP{3IZDex*dIJo7A=lr$R%-N=BNFoxm_)w=6%E=?oqbi`z>z!~F_jA5~ z%KB={TO8S_kJ@!-4-Mg}!_4}Pi=EL08bPWJYd~A-{_(9K=X*#DTp_C^*IO2e>Mg^u zVkZ8lsVPEUhe3^}m+PtOI-MG`-NK?*(!!>5NPkum zX>a)cVonjSfILrUnFP|HQ`fxQmN&=a* z==95>XR%vQ{=1~?F)^C*g3-IOvi-0#F)FCUA7F8ah_LfBKc*LJH9EqBh8DOy2__{# zR5tonSUcGgzy;B#3T`sW6>^icJ1WnxTV6M*yr5 zljOiOVYW{Ccvn*98LwQr%(~AUl&japkC}qLjAL$HMfaTz$_1oeZ`8`9J({Yl?%yKK7W2dou;^ zuNch>vk=|%%AFrC-`t=Dt*;Lu&0JKX`fSRA4=o0rcOlZB*^weOq`KO2ogENZvr71j zERp%8LqmlP<3}H!{rw7;tLqGEu2vQa@k5)+D9ba}E6aBYQfI6JwZ{79hl>-I(@e`L z7cds(EBG6)hAtUV#K7T#Ao@BGweN4e{-_QOTV)h~N|2ntyh)Qb)NQe-7hukpGg~Z9 z``Hwx(E0VKH>WT32G0J&9k_L!PBfoa@>8v|yiZi;|M*(^t*$;-=>$3@Vn}tueA0{-gy- zRZ8W^UaU4hqp0$trPGoRpZCz`qd93oqr5|Ge4u}FVi=cfSG5nhZMdnz3!+_*cAV8ix$t8`AxEY7qf{M98-qxe{}wS7GKS(?Qk%`h&i6dMKh&K zf6k7h7BZf_HICNa_hrrb)6QmD#0cIA=CM3V;^t%?x!AL6U?4osus(E8gMZqPoW{DN zPMF!&qThr|L)}~6r3Hk;&}yfxJg_Q36Ly8H$3a*9of>N1=-v`jV04OaKAd6UY4H>wR1+9AgBpEcw{TWS71*bI?~N9nnN1 qqzmL$-wy`4LT>~A2DQ^GVoR1u*G36zjzI580m|+ml45i0>^}jJS^VGt diff --git a/pretty_plots.py b/pretty_plots.py deleted file mode 100644 index eb78b6f..0000000 --- a/pretty_plots.py +++ /dev/null @@ -1,12 +0,0 @@ -import matplotlib.pyplot as plt -plt.rcParams.update({'font.size': 22}) -plt.rcParams['lines.linewidth'] = 3 -plt.rcParams['text.usetex'] = True -plt.rcParams['text.latex.unicode'] = True -plt.rcParams['text.latex.preamble'] = [ - r'\usepackage{siunitx}', # I need upright \micro symbols, but you need... - r'\sisetup{detect-all}', # ...this to force siunitx to actually use your fonts - r'\usepackage{helvet}', # set the normal font here - r'\usepackage{sansmath}', # load up the sansmath so that math -> helvet - r'\sansmath' # <- tricky! -- gotta actually tell tex to use! -] \ No newline at end of file From 83cd43acc1c13e5d7ce2506b41bc70ef801b3a60 Mon Sep 17 00:00:00 2001 From: "Ryan C. Cooper" Date: Thu, 10 Sep 2020 16:05:43 -0400 Subject: [PATCH 2/2] added google.csv --- ME3263_Lab-01.ipynb | 55 +- google.csv | 2041 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 2094 insertions(+), 2 deletions(-) create mode 100644 google.csv diff --git a/ME3263_Lab-01.ipynb b/ME3263_Lab-01.ipynb index f220bae..02345bc 100644 --- a/ME3263_Lab-01.ipynb +++ b/ME3263_Lab-01.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -344,6 +344,57 @@ "3. Perform t-test using equal-sized groups from the two data sets. Are the 2 phones stastistically equivalent measurements of g? _If there are differences are these __systematic__ or __random__?_ What is the resulting error?" ] }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importing your data to Jupyter\n", + "\n", + "1. While you're in the Lab_01 folder, click the \"Upload\" button in the top right.\n", + "2. Choose your csv file from your cell phone data collection of your accelerometer\n", + "3. Click the blue \"Upload\" button next to the file. \n", + "4. In this folder, there is an example file called `google.csv`\n", + "5. In the next code cell, I load the `google.csv` file into a variable called `data`.\n", + "6. The `google.csv` file has a column for each x-, y-, and z-directions, so I'll load just the z-direction to measure $$g$$\n", + "7. Finally, I create a histogram of the accelerometer values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "

" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "data = pd.read_csv('google.csv')\n", + "zacc = data['Acceleration z (m/s^2)'].values\n", + "\n", + "plt.hist(zacc,30)\n", + "plt.ylabel('number of measurements')\n", + "plt.xlabel('acceleration (m/s/s)');" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/google.csv b/google.csv new file mode 100644 index 0000000..a2ad531 --- /dev/null +++ b/google.csv @@ -0,0 +1,2041 @@ +"Time (s)","Acceleration x (m/s^2)","Acceleration y (m/s^2)","Acceleration z (m/s^2)","Absolute acceleration (m/s^2)" +0.000000000E0,-1.588592529E-1,-1.800842285E-1,9.806793213E0,9.809732907E0 +2.349853000E-3,-1.684112549E-1,-1.515197754E-1,9.802047729E0,9.804665231E0 +4.730224000E-3,-1.540679932E-1,-1.562805176E-1,9.802047729E0,9.804504079E0 +7.110595000E-3,-1.875457764E-1,-1.610412598E-1,9.744964600E0,9.748099443E0 +9.490967000E-3,-1.540679932E-1,-1.848449707E-1,9.768737793E0,9.771701115E0 +1.187133800E-2,-1.588592529E-1,-1.705627441E-1,9.783004761E0,9.785781014E0 +1.425170900E-2,-1.684112549E-1,-2.086334229E-1,9.787780762E0,9.791452522E0 +1.660156200E-2,-2.066650391E-1,-1.991119385E-1,9.787780762E0,9.791986940E0 +1.898193300E-2,-2.066650391E-1,-2.038879395E-1,9.835327148E0,9.839610808E0 +2.136230400E-2,-1.684112549E-1,-2.038879395E-1,9.840087891E0,9.843640705E0 +2.374267500E-2,-1.923217773E-1,-1.896057129E-1,9.797286987E0,9.801008637E0 +2.612304700E-2,-1.875457764E-1,-2.133941650E-1,9.806793213E0,9.810907379E0 +2.850341800E-2,-1.827697754E-1,-1.943664551E-1,9.806793213E0,9.810421817E0 +3.088378900E-2,-1.827697754E-1,-1.991119385E-1,9.787780762E0,9.791511762E0 +3.323364200E-2,-1.779785156E-1,-1.943664551E-1,9.778244019E0,9.781794864E0 +3.561401300E-2,-1.971130371E-1,-1.800842285E-1,9.825820923E0,9.829447629E0 +3.799438400E-2,-1.923217773E-1,-1.848449707E-1,9.792526245E0,9.796158716E0 +4.037475600E-2,-1.971130371E-1,-2.133941650E-1,9.778244019E0,9.782558290E0 +4.275512700E-2,-2.066650391E-1,-1.991119385E-1,9.773498535E0,9.777710858E0 +4.513549800E-2,-2.019042969E-1,-2.038879395E-1,9.830566406E0,9.834753251E0 +4.751586900E-2,-2.066650391E-1,-1.943664551E-1,9.806793213E0,9.810896079E0 +4.989624000E-2,-1.732025146E-1,-2.038879395E-1,9.787780762E0,9.791436138E0 +5.227661100E-2,-2.019042969E-1,-1.705627441E-1,9.830566406E0,9.834118815E0 +5.462646500E-2,-2.019042969E-1,-2.086334229E-1,9.806793213E0,9.811089969E0 +5.700683600E-2,-2.019042969E-1,-1.705627441E-1,9.806793213E0,9.810354230E0 +5.938720700E-2,-1.923217773E-1,-1.753234863E-1,9.787780762E0,9.791239872E0 +6.176757800E-2,-2.066650391E-1,-1.515197754E-1,9.773498535E0,9.776857486E0 +6.414794900E-2,-2.019042969E-1,-2.038879395E-1,9.783004761E0,9.787211952E0 +6.652832000E-2,-1.923217773E-1,-2.038879395E-1,9.768737793E0,9.772757852E0 +6.890869100E-2,-1.875457764E-1,-2.038879395E-1,9.797286987E0,9.801202784E0 +7.128906200E-2,-2.019042969E-1,-1.800842285E-1,9.792526245E0,9.796262856E0 +7.366943300E-2,-1.971130371E-1,-1.991119385E-1,9.754470825E0,9.758493746E0 +7.601928700E-2,-1.875457764E-1,-1.848449707E-1,9.830566406E0,9.834092584E0 +7.839965800E-2,-1.732025146E-1,-1.705627441E-1,9.830566406E0,9.833571408E0 +8.078002900E-2,-2.114562988E-1,-1.991119385E-1,9.797286987E0,9.801591281E0 +8.316040000E-2,-1.779785156E-1,-1.848449707E-1,9.773498535E0,9.776866453E0 +8.554077100E-2,-1.875457764E-1,-1.610412598E-1,9.811553955E0,9.814667530E0 +8.792114200E-2,-1.445159912E-1,-1.705627441E-1,9.797286987E0,9.799837184E0 +9.030151300E-2,-1.827697754E-1,-1.800842285E-1,9.768737793E0,9.772106896E0 +9.268188400E-2,-1.540679932E-1,-1.848449707E-1,9.792526245E0,9.795482371E0 +9.503173800E-2,-1.588592529E-1,-1.848449707E-1,9.806793213E0,9.809821458E0 +9.741210900E-2,-1.779785156E-1,-1.800842285E-1,9.787780762E0,9.791055046E0 +9.979248000E-2,-2.019042969E-1,-2.038879395E-1,9.802047729E0,9.806246750E0 +1.021728510E-1,-1.732025146E-1,-1.515197754E-1,9.806793213E0,9.809492875E0 +1.045532220E-1,-1.684112549E-1,-1.658020020E-1,9.802047729E0,9.804896345E0 +1.069335930E-1,-1.445159912E-1,-1.658020020E-1,9.792526245E0,9.794995939E0 +1.093139650E-1,-1.684112549E-1,-1.800842285E-1,9.773498535E0,9.776608118E0 +1.116943360E-1,-1.588592529E-1,-1.753234863E-1,9.787780762E0,9.790639756E0 +1.140441890E-1,-1.684112549E-1,-1.562805176E-1,9.778244019E0,9.780942799E0 +1.164245600E-1,-1.636505127E-1,-1.896057129E-1,9.783004761E0,9.786210399E0 +1.188049310E-1,-1.445159912E-1,-1.753234863E-1,9.806793213E0,9.809424872E0 +1.211853020E-1,-1.875457764E-1,-1.896057129E-1,9.787780762E0,9.791413380E0 +1.235656740E-1,-1.732025146E-1,-1.800842285E-1,9.783004761E0,9.786194949E0 +1.259460450E-1,-1.732025146E-1,-1.800842285E-1,9.792526245E0,9.795713333E0 +1.283264160E-1,-1.492919922E-1,-1.610412598E-1,9.811553955E0,9.814011076E0 +1.307067870E-1,-1.827697754E-1,-1.943664551E-1,9.792526245E0,9.796160134E0 +1.330871580E-1,-1.779785156E-1,-2.038879395E-1,9.835327148E0,9.839050094E0 +1.354370110E-1,-1.492919922E-1,-1.848449707E-1,9.835327148E0,9.838196780E0 +1.378173830E-1,-1.684112549E-1,-1.658020020E-1,9.802047729E0,9.804896345E0 +1.401977540E-1,-1.779785156E-1,-1.705627441E-1,9.773498535E0,9.776606856E0 +1.425781250E-1,-1.827697754E-1,-1.705627441E-1,9.806793213E0,9.809979081E0 +1.449584960E-1,-1.923217773E-1,-1.896057129E-1,9.802047729E0,9.805767572E0 +1.473388670E-1,-1.779785156E-1,-1.848449707E-1,9.759231567E0,9.762604407E0 +1.497192380E-1,-1.827697754E-1,-1.610412598E-1,9.763992310E0,9.767030506E0 +1.520690920E-1,-1.827697754E-1,-1.800842285E-1,9.802047729E0,9.805405387E0 +1.544494630E-1,-1.636505127E-1,-1.610412598E-1,9.787780762E0,9.790473330E0 +1.568298340E-1,-1.588592529E-1,-2.038879395E-1,9.783004761E0,9.786418584E0 +1.592102050E-1,-2.353668213E-1,-1.705627441E-1,9.778244019E0,9.782563329E0 +1.615905760E-1,-1.827697754E-1,-1.848449707E-1,9.797286987E0,9.800734909E0 +1.639709470E-1,-2.162475586E-1,-2.133941650E-1,9.797286987E0,9.801996347E0 +1.663513180E-1,-1.875457764E-1,-1.943664551E-1,9.787780762E0,9.791506727E0 +1.687316890E-1,-1.923217773E-1,-1.991119385E-1,9.802047729E0,9.805955992E0 +1.711120600E-1,-2.019042969E-1,-1.800842285E-1,9.816314697E0,9.820042256E0 +1.734619140E-1,-2.114562988E-1,-1.943664551E-1,9.792526245E0,9.796737332E0 +1.758422850E-1,-1.971130371E-1,-1.943664551E-1,9.797286987E0,9.801197079E0 +1.782226560E-1,-1.827697754E-1,-2.038879395E-1,9.787780762E0,9.791610047E0 +1.806030270E-1,-1.875457764E-1,-1.705627441E-1,9.768737793E0,9.772026562E0 +1.829833980E-1,-1.971130371E-1,-1.896057129E-1,9.735458374E0,9.739299442E0 +1.853637690E-1,-1.875457764E-1,-1.848449707E-1,9.744964600E0,9.748521741E0 +1.877441400E-1,-1.779785156E-1,-1.658020020E-1,9.778244019E0,9.781268974E0 +1.901245110E-1,-1.923217773E-1,-1.848449707E-1,9.773498535E0,9.777138075E0 +1.925048830E-1,-2.210235596E-1,-1.610412598E-1,9.787780762E0,9.791600377E0 +1.948547360E-1,-1.875457764E-1,-1.943664551E-1,9.787780762E0,9.791506727E0 +1.972351070E-1,-1.875457764E-1,-1.753234863E-1,9.783004761E0,9.786372867E0 +1.996154780E-1,-2.019042969E-1,-1.800842285E-1,9.778244019E0,9.781986085E0 +2.019958490E-1,-1.636505127E-1,-1.705627441E-1,9.825820923E0,9.828663691E0 +2.043762200E-1,-2.019042969E-1,-1.800842285E-1,9.830566406E0,9.834288563E0 +2.067565920E-1,-1.923217773E-1,-1.467590332E-1,9.792526245E0,9.795514083E0 +2.091369630E-1,-1.588592529E-1,-1.943664551E-1,9.825820923E0,9.829026981E0 +2.115173340E-1,-1.636505127E-1,-1.753234863E-1,9.854370117E0,9.857288178E0 +2.138977050E-1,-1.827697754E-1,-1.610412598E-1,9.806793213E0,9.809818153E0 +2.162780760E-1,-1.684112549E-1,-1.705627441E-1,9.773498535E0,9.776437368E0 +2.186584470E-1,-1.779785156E-1,-1.848449707E-1,9.816314697E0,9.819667930E0 +2.210388180E-1,-1.779785156E-1,-1.705627441E-1,9.778244019E0,9.781350831E0 +2.234191890E-1,-1.779785156E-1,-1.848449707E-1,9.778244019E0,9.781610302E0 +2.257995600E-1,-1.492919922E-1,-1.991119385E-1,9.773498535E0,9.776666471E0 +2.281799310E-1,-1.636505127E-1,-1.800842285E-1,9.825820923E0,9.828833533E0 +2.305603020E-1,-1.732025146E-1,-1.705627441E-1,9.759231567E0,9.762258527E0 +2.329101560E-1,-1.445159912E-1,-1.991119385E-1,9.768737793E0,9.771835473E0 +2.352905270E-1,-1.732025146E-1,-1.848449707E-1,9.763992310E0,9.767277645E0 +2.376708980E-1,-1.540679932E-1,-1.705627441E-1,9.768737793E0,9.771441381E0 +2.400512690E-1,-1.492919922E-1,-1.658020020E-1,9.806793213E0,9.809330840E0 +2.424316400E-1,-1.636505127E-1,-1.896057129E-1,9.787780762E0,9.790984836E0 +2.448120110E-1,-1.684112549E-1,-1.705627441E-1,9.821060181E0,9.823984786E0 +2.471923830E-1,-1.349487305E-1,-1.848449707E-1,9.825820923E0,9.828485928E0 +2.495727540E-1,-1.684112549E-1,-1.800842285E-1,9.821060181E0,9.824154709E0 +2.519531250E-1,-1.492919922E-1,-1.705627441E-1,9.806793213E0,9.809412463E0 +2.543029780E-1,-1.540679932E-1,-1.848449707E-1,9.821060181E0,9.824007720E0 +2.566833490E-1,-1.445159912E-1,-2.086334229E-1,9.763992310E0,9.767290238E0 +2.590637200E-1,-1.732025146E-1,-1.800842285E-1,9.783004761E0,9.786194949E0 +2.614440920E-1,-1.684112549E-1,-2.038879395E-1,9.811553955E0,9.815117098E0 +2.638244630E-1,-1.875457764E-1,-1.896057129E-1,9.816314697E0,9.819936761E0 +2.662048340E-1,-1.492919922E-1,-1.896057129E-1,9.783004761E0,9.785980818E0 +2.685852050E-1,-1.636505127E-1,-1.658020020E-1,9.797286987E0,9.800056332E0 +2.709655760E-1,-1.636505127E-1,-1.896057129E-1,9.773498535E0,9.776707290E0 +2.733154290E-1,-1.588592529E-1,-1.991119385E-1,9.787780762E0,9.791094631E0 +2.756958000E-1,-1.779785156E-1,-1.943664551E-1,9.778244019E0,9.781794864E0 +2.780761720E-1,-1.684112549E-1,-1.848449707E-1,9.787780762E0,9.790974530E0 +2.804565430E-1,-1.779785156E-1,-1.896057129E-1,9.806793213E0,9.810240558E0 +2.828369140E-1,-2.019042969E-1,-1.848449707E-1,9.763992310E0,9.767828767E0 +2.852172850E-1,-2.114562988E-1,-2.086334229E-1,9.783004761E0,9.787513669E0 +2.875976560E-1,-1.779785156E-1,-1.705627441E-1,9.792526245E0,9.795628528E0 +2.899780270E-1,-1.923217773E-1,-2.038879395E-1,9.797286987E0,9.801295336E0 +2.923278810E-1,-2.066650391E-1,-1.800842285E-1,9.759231567E0,9.763080536E0 +2.947082520E-1,-1.923217773E-1,-1.848449707E-1,9.821060181E0,9.824682102E0 +2.970886230E-1,-1.732025146E-1,-1.991119385E-1,9.816314697E0,9.819861451E0 +2.994689940E-1,-1.827697754E-1,-1.753234863E-1,9.787780762E0,9.791056907E0 +3.018493650E-1,-2.210235596E-1,-2.181701660E-1,9.844833374E0,9.849730646E0 +3.042297360E-1,-1.875457764E-1,-1.753234863E-1,9.854370117E0,9.857713840E0 +3.066101070E-1,-2.019042969E-1,-2.038879395E-1,9.802047729E0,9.806246750E0 +3.089904780E-1,-2.114562988E-1,-2.276763916E-1,9.825820923E0,9.830732786E0 +3.113708490E-1,-2.162475586E-1,-2.038879395E-1,9.849609375E0,9.854092456E0 +3.137207030E-1,-1.684112549E-1,-1.896057129E-1,9.797286987E0,9.800568605E0 +3.161010740E-1,-1.923217773E-1,-1.896057129E-1,9.783004761E0,9.786731842E0 +3.184814450E-1,-2.066650391E-1,-2.181701660E-1,9.792526245E0,9.797136261E0 +3.208618160E-1,-1.923217773E-1,-1.896057129E-1,9.825820923E0,9.829531769E0 +3.232421870E-1,-1.875457764E-1,-2.038879395E-1,9.773498535E0,9.777423859E0 +3.256225580E-1,-1.971130371E-1,-1.896057129E-1,9.792526245E0,9.796344938E0 +3.280029290E-1,-1.636505127E-1,-1.705627441E-1,9.792526245E0,9.795378676E0 +3.303833000E-1,-1.588592529E-1,-2.086334229E-1,9.778244019E0,9.781759568E0 +3.327331540E-1,-1.827697754E-1,-1.848449707E-1,9.773498535E0,9.776954847E0 +3.351135250E-1,-1.684112549E-1,-1.848449707E-1,9.802047729E0,9.805236851E0 +3.374938960E-1,-1.684112549E-1,-1.610412598E-1,9.792526245E0,9.795298204E0 +3.398742670E-1,-1.875457764E-1,-1.991119385E-1,9.740203857E0,9.744043830E0 +3.422546380E-1,-1.732025146E-1,-1.848449707E-1,9.821060181E0,9.824326432E0 +3.446350090E-1,-1.588592529E-1,-1.658020020E-1,9.821060181E0,9.823744176E0 +3.470153810E-1,-1.684112549E-1,-1.896057129E-1,9.806793213E0,9.810071651E0 +3.493957520E-1,-1.349487305E-1,-1.848449707E-1,9.749725342E0,9.752411141E0 +3.517456050E-1,-1.492919922E-1,-1.705627441E-1,9.749725342E0,9.752359919E0 +3.541259760E-1,-1.588592529E-1,-1.848449707E-1,9.749725342E0,9.752771307E0 +3.565063470E-1,-1.827697754E-1,-1.896057129E-1,9.744964600E0,9.748522461E0 +3.588867180E-1,-1.588592529E-1,-1.848449707E-1,9.754470825E0,9.757515309E0 +3.612670900E-1,-1.684112549E-1,-1.705627441E-1,9.763992310E0,9.766934003E0 +3.636474610E-1,-1.492919922E-1,-1.848449707E-1,9.773498535E0,9.776386315E0 +3.660278320E-1,-1.588592529E-1,-1.800842285E-1,9.735458374E0,9.738419602E0 +3.684082030E-1,-1.827697754E-1,-1.800842285E-1,9.759231567E0,9.762603951E0 +3.707885740E-1,-1.875457764E-1,-1.896057129E-1,9.802047729E0,9.805675063E0 +3.731384270E-1,-1.732025146E-1,-1.658020020E-1,9.749725342E0,9.752673154E0 +3.755187990E-1,-1.779785156E-1,-1.991119385E-1,9.792526245E0,9.796167219E0 +3.778991700E-1,-1.971130371E-1,-1.705627441E-1,9.811553955E0,9.815015854E0 +3.802795410E-1,-1.923217773E-1,-1.800842285E-1,9.830566406E0,9.834096494E0 +3.826599120E-1,-2.019042969E-1,-1.515197754E-1,9.849609375E0,9.852843672E0 +3.850402830E-1,-1.875457764E-1,-1.800842285E-1,9.821060181E0,9.824501352E0 +3.874206540E-1,-2.114562988E-1,-1.705627441E-1,9.835327148E0,9.839078490E0 +3.898010250E-1,-1.732025146E-1,-1.896057129E-1,9.816314697E0,9.819673298E0 +3.921508790E-1,-2.162475586E-1,-1.848449707E-1,9.811553955E0,9.815677342E0 +3.945312500E-1,-2.162475586E-1,-1.562805176E-1,9.844833374E0,9.848448140E0 +3.969116210E-1,-2.114562988E-1,-1.848449707E-1,9.797286987E0,9.801311838E0 +3.992919920E-1,-2.258148193E-1,-1.800842285E-1,9.787780762E0,9.792041406E0 +4.016723630E-1,-2.114562988E-1,-1.991119385E-1,9.806793213E0,9.811093336E0 +4.040527340E-1,-1.971130371E-1,-1.896057129E-1,9.787780762E0,9.791601305E0 +4.064331050E-1,-2.258148193E-1,-1.562805176E-1,9.759231567E0,9.763094628E0 +4.088134760E-1,-2.162475586E-1,-1.848449707E-1,9.759231567E0,9.763377052E0 +4.111633300E-1,-2.019042969E-1,-1.705627441E-1,9.825820923E0,9.829375046E0 +4.135437010E-1,-2.066650391E-1,-1.753234863E-1,9.792526245E0,9.796275773E0 +4.159240720E-1,-2.066650391E-1,-1.705627441E-1,9.797286987E0,9.800950689E0 +4.183044430E-1,-2.019042969E-1,-1.277313232E-1,9.835327148E0,9.838228537E0 +4.206848140E-1,-1.923217773E-1,-1.610412598E-1,9.830566406E0,9.833766207E0 +4.230651850E-1,-2.066650391E-1,-2.086334229E-1,9.773498535E0,9.777909386E0 +4.254455560E-1,-2.066650391E-1,-2.133941650E-1,9.825820923E0,9.830310489E0 +4.278259270E-1,-1.684112549E-1,-1.848449707E-1,9.806793213E0,9.809980792E0 +4.302062990E-1,-1.588592529E-1,-1.991119385E-1,9.802047729E0,9.805356777E0 +4.325561520E-1,-1.971130371E-1,-2.181701660E-1,9.773498535E0,9.777920300E0 +4.349365230E-1,-1.732025146E-1,-2.133941650E-1,9.778244019E0,9.782105717E0 +4.373168940E-1,-1.827697754E-1,-2.133941650E-1,9.773498535E0,9.777536268E0 +4.396972650E-1,-1.301574707E-1,-2.133941650E-1,9.735458374E0,9.738666633E0 +4.420776360E-1,-1.875457764E-1,-1.943664551E-1,9.773498535E0,9.777229943E0 +4.444580080E-1,-1.445159912E-1,-1.943664551E-1,9.830566406E0,9.833549667E0 +4.468383790E-1,-1.492919922E-1,-1.610412598E-1,9.792526245E0,9.794988139E0 +4.492187500E-1,-1.732025146E-1,-1.610412598E-1,9.768737793E0,9.771600251E0 +4.515686030E-1,-1.445159912E-1,-1.848449707E-1,9.792526245E0,9.795336788E0 +4.539489740E-1,-1.636505127E-1,-2.086334229E-1,9.806793213E0,9.810377287E0 +4.563293450E-1,-1.397247314E-1,-1.943664551E-1,9.802047729E0,9.804970220E0 +4.587097170E-1,-1.779785156E-1,-2.371978760E-1,9.773498535E0,9.777996359E0 +4.610900880E-1,-1.732025146E-1,-2.229156494E-1,9.754470825E0,9.758554789E0 +4.634704590E-1,-1.445159912E-1,-2.419586182E-1,9.773498535E0,9.777561171E0 +4.658508300E-1,-1.540679932E-1,-2.133941650E-1,9.763992310E0,9.767539088E0 +4.682312010E-1,-1.397247314E-1,-1.800842285E-1,9.835327148E0,9.837967953E0 +4.705810540E-1,-1.540679932E-1,-1.943664551E-1,9.840087891E0,9.843213142E0 +4.729614250E-1,-1.445159912E-1,-2.133941650E-1,9.816314697E0,9.819697357E0 +4.753417970E-1,-1.684112549E-1,-1.800842285E-1,9.811553955E0,9.814651481E0 +4.777221680E-1,-1.492919922E-1,-1.848449707E-1,9.840087891E0,9.842956134E0 +4.801025390E-1,-1.492919922E-1,-1.610412598E-1,9.835327148E0,9.837778332E0 +4.824829100E-1,-1.540679932E-1,-1.943664551E-1,9.773498535E0,9.776645073E0 +4.848632810E-1,-1.540679932E-1,-1.753234863E-1,9.768737793E0,9.771525640E0 +4.872436520E-1,-1.636505127E-1,-1.896057129E-1,9.825820923E0,9.829012597E0 +4.896240230E-1,-1.445159912E-1,-2.038879395E-1,9.802047729E0,9.805233034E0 +4.920043940E-1,-1.540679932E-1,-2.133941650E-1,9.806793213E0,9.810324517E0 +4.943847650E-1,-1.492919922E-1,-1.848449707E-1,9.802047729E0,9.804927101E0 +4.967651360E-1,-1.732025146E-1,-1.610412598E-1,9.783004761E0,9.785863046E0 +4.991455080E-1,-1.827697754E-1,-1.991119385E-1,9.787780762E0,9.791511762E0 +5.015258790E-1,-1.827697754E-1,-1.896057129E-1,9.811553955E0,9.815087678E0 +5.039062500E-1,-1.636505127E-1,-1.753234863E-1,9.844833374E0,9.847754261E0 +5.062866210E-1,-1.923217773E-1,-1.896057129E-1,9.792526245E0,9.796249704E0 +5.086669920E-1,-1.875457764E-1,-1.467590332E-1,9.768737793E0,9.771640072E0 +5.110168450E-1,-2.019042969E-1,-1.610412598E-1,9.806793213E0,9.810193309E0 +5.133972170E-1,-1.827697754E-1,-1.658020020E-1,9.787780762E0,9.790891039E0 +5.157775880E-1,-2.019042969E-1,-1.896057129E-1,9.797286987E0,9.801201354E0 +5.181579590E-1,-1.827697754E-1,-1.705627441E-1,9.802047729E0,9.805235139E0 +5.205383300E-1,-1.875457764E-1,-1.610412598E-1,9.844833374E0,9.847936427E0 +5.229187010E-1,-1.684112549E-1,-2.038879395E-1,9.754470825E0,9.758054812E0 +5.252990720E-1,-1.875457764E-1,-1.848449707E-1,9.783004761E0,9.786548075E0 +5.276794430E-1,-1.875457764E-1,-1.800842285E-1,9.768737793E0,9.772197389E0 +5.300292970E-1,-1.923217773E-1,-1.848449707E-1,9.787780762E0,9.791414993E0 +5.324096680E-1,-1.779785156E-1,-1.943664551E-1,9.797286987E0,9.800830933E0 +5.347900390E-1,-1.684112549E-1,-1.658020020E-1,9.825820923E0,9.828662649E0 +5.371704100E-1,-2.162475586E-1,-1.753234863E-1,9.802047729E0,9.806000256E0 +5.395507810E-1,-1.827697754E-1,-1.562805176E-1,9.768737793E0,9.771697215E0 +5.419311520E-1,-1.923217773E-1,-1.943664551E-1,9.754470825E0,9.758302468E0 +5.443115230E-1,-2.066650391E-1,-1.800842285E-1,9.783004761E0,9.786844380E0 +5.466918940E-1,-2.066650391E-1,-2.038879395E-1,9.773498535E0,9.777809282E0 +5.490722650E-1,-1.684112549E-1,-1.991119385E-1,9.754470825E0,9.757956189E0 +5.514221190E-1,-1.732025146E-1,-2.038879395E-1,9.806793213E0,9.810441505E0 +5.538024900E-1,-2.019042969E-1,-1.800842285E-1,9.773498535E0,9.777242418E0 +5.561828610E-1,-1.971130371E-1,-2.086334229E-1,9.778244019E0,9.782455599E0 +5.585632320E-1,-1.971130371E-1,-1.991119385E-1,9.778244019E0,9.782257163E0 +5.609436030E-1,-1.827697754E-1,-2.038879395E-1,9.787780762E0,9.791610047E0 +5.633239740E-1,-1.732025146E-1,-1.896057129E-1,9.797286987E0,9.800652108E0 +5.657043450E-1,-1.636505127E-1,-2.133941650E-1,9.773498535E0,9.777197563E0 +5.680847170E-1,-1.875457764E-1,-2.038879395E-1,9.783004761E0,9.786926272E0 +5.704345700E-1,-1.588592529E-1,-1.753234863E-1,9.787780762E0,9.790639756E0 +5.728149410E-1,-2.019042969E-1,-2.371978760E-1,9.778244019E0,9.783204192E0 +5.751953120E-1,-1.923217773E-1,-2.133941650E-1,9.792526245E0,9.796738998E0 +5.775756830E-1,-1.779785156E-1,-1.800842285E-1,9.783004761E0,9.786280643E0 +5.799560540E-1,-1.827697754E-1,-1.705627441E-1,9.797286987E0,9.800475945E0 +5.823364250E-1,-2.019042969E-1,-2.038879395E-1,9.797286987E0,9.801488048E0 +5.847167970E-1,-1.827697754E-1,-1.896057129E-1,9.825820923E0,9.829349517E0 +5.870971680E-1,-1.588592529E-1,-1.800842285E-1,9.811553955E0,9.814492223E0 +5.894470210E-1,-1.827697754E-1,-1.896057129E-1,9.797286987E0,9.800825854E0 +5.918273920E-1,-1.540679932E-1,-1.848449707E-1,9.816314697E0,9.819263661E0 +5.942077630E-1,-1.492919922E-1,-1.610412598E-1,9.811553955E0,9.814011076E0 +5.965881340E-1,-1.732025146E-1,-1.753234863E-1,9.811553955E0,9.814648667E0 +5.989685060E-1,-1.827697754E-1,-1.610412598E-1,9.792526245E0,9.795555591E0 +6.013488770E-1,-1.732025146E-1,-1.610412598E-1,9.792526245E0,9.795381752E0 +6.037292480E-1,-1.588592529E-1,-1.705627441E-1,9.792526245E0,9.795299800E0 +6.061096190E-1,-1.492919922E-1,-1.515197754E-1,9.783004761E0,9.785316985E0 +6.084899900E-1,-1.540679932E-1,-1.610412598E-1,9.787780762E0,9.790317843E0 +6.108398430E-1,-1.588592529E-1,-1.658020020E-1,9.783004761E0,9.785699194E0 +6.132202150E-1,-1.492919922E-1,-1.562805176E-1,9.783004761E0,9.785391860E0 +6.156005860E-1,-1.636505127E-1,-1.610412598E-1,9.806793213E0,9.809480562E0 +6.179809570E-1,-1.779785156E-1,-1.372375488E-1,9.802047729E0,9.804623919E0 +6.203613280E-1,-1.923217773E-1,-1.562805176E-1,9.835327148E0,9.838448627E0 +6.227416990E-1,-2.019042969E-1,-1.658020020E-1,9.797286987E0,9.800769764E0 +6.251220700E-1,-1.875457764E-1,-1.658020020E-1,9.783004761E0,9.786206919E0 +6.275024410E-1,-1.588592529E-1,-1.562805176E-1,9.797286987E0,9.799821028E0 +6.298522950E-1,-1.397247314E-1,-1.896057129E-1,9.783004761E0,9.785839539E0 +6.322326660E-1,-1.875457764E-1,-2.038879395E-1,9.802047729E0,9.805961626E0 +6.346130370E-1,-1.732025146E-1,-1.991119385E-1,9.797286987E0,9.800840627E0 +6.369934080E-1,-1.875457764E-1,-1.610412598E-1,9.763992310E0,9.767121046E0 +6.393737790E-1,-1.732025146E-1,-1.800842285E-1,9.787780762E0,9.790969394E0 +6.417541500E-1,-1.540679932E-1,-1.800842285E-1,9.778244019E0,9.781115650E0 +6.441345210E-1,-1.540679932E-1,-2.038879395E-1,9.787780762E0,9.791116355E0 +6.465148920E-1,-1.684112549E-1,-1.943664551E-1,9.783004761E0,9.786384563E0 +6.488647460E-1,-1.875457764E-1,-1.753234863E-1,9.816314697E0,9.819671378E0 +6.512451170E-1,-1.732025146E-1,-1.991119385E-1,9.787780762E0,9.791337851E0 +6.536254880E-1,-1.684112549E-1,-1.610412598E-1,9.792526245E0,9.795298204E0 +6.560058590E-1,-1.875457764E-1,-1.943664551E-1,9.763992310E0,9.767727349E0 +6.583862300E-1,-1.779785156E-1,-2.086334229E-1,9.792526245E0,9.796365373E0 +6.607666010E-1,-1.540679932E-1,-1.658020020E-1,9.821060181E0,9.823667865E0 +6.631469720E-1,-1.923217773E-1,-1.800842285E-1,9.787780762E0,9.791326276E0 +6.655273430E-1,-1.875457764E-1,-1.991119385E-1,9.759231567E0,9.763064056E0 +6.679077150E-1,-1.923217773E-1,-2.133941650E-1,9.783004761E0,9.787221612E0 +6.702575680E-1,-1.732025146E-1,-2.086334229E-1,9.792526245E0,9.796279767E0 +6.726379390E-1,-1.779785156E-1,-2.086334229E-1,9.787780762E0,9.791621750E0 +6.750183100E-1,-1.827697754E-1,-1.800842285E-1,9.811553955E0,9.814908361E0 +6.773986810E-1,-1.875457764E-1,-1.943664551E-1,9.835327148E0,9.839035108E0 +6.797790520E-1,-1.588592529E-1,-1.991119385E-1,9.783004761E0,9.786320247E0 +6.821594240E-1,-1.684112549E-1,-1.800842285E-1,9.797286987E0,9.800389022E0 +6.845397950E-1,-1.923217773E-1,-1.896057129E-1,9.811553955E0,9.815270195E0 +6.869201660E-1,-1.779785156E-1,-1.896057129E-1,9.816314697E0,9.819758699E0 +6.892700190E-1,-1.827697754E-1,-1.991119385E-1,9.787780762E0,9.791511762E0 +6.916503900E-1,-2.066650391E-1,-1.991119385E-1,9.816314697E0,9.820508655E0 +6.940307610E-1,-1.636505127E-1,-1.848449707E-1,9.797286987E0,9.800397005E0 +6.964111330E-1,-1.827697754E-1,-2.038879395E-1,9.806793213E0,9.810615078E0 +6.987915040E-1,-1.971130371E-1,-2.038879395E-1,9.773498535E0,9.777612053E0 +7.011718750E-1,-1.588592529E-1,-1.943664551E-1,9.806793213E0,9.810005489E0 +7.035522460E-1,-1.827697754E-1,-1.610412598E-1,9.806793213E0,9.809818153E0 +7.059326170E-1,-1.684112549E-1,-1.896057129E-1,9.759231567E0,9.762525978E0 +7.082824700E-1,-1.779785156E-1,-1.943664551E-1,9.773498535E0,9.777051104E0 +7.106628420E-1,-1.923217773E-1,-1.800842285E-1,9.773498535E0,9.777049228E0 +7.130432130E-1,-1.588592529E-1,-1.705627441E-1,9.778244019E0,9.781021623E0 +7.154235840E-1,-1.636505127E-1,-1.896057129E-1,9.783004761E0,9.786210399E0 +7.178039550E-1,-1.636505127E-1,-1.896057129E-1,9.783004761E0,9.786210399E0 +7.201843260E-1,-1.779785156E-1,-1.705627441E-1,9.802047729E0,9.805147000E0 +7.225646970E-1,-1.875457764E-1,-1.610412598E-1,9.768737793E0,9.771865010E0 +7.249450680E-1,-1.732025146E-1,-1.848449707E-1,9.783004761E0,9.786283714E0 +7.272949220E-1,-1.684112549E-1,-1.515197754E-1,9.821060181E0,9.823672616E0 +7.296752930E-1,-2.019042969E-1,-1.800842285E-1,9.792526245E0,9.796262856E0 +7.320556640E-1,-1.971130371E-1,-1.705627441E-1,9.787780762E0,9.791251066E0 +7.344360350E-1,-1.971130371E-1,-1.943664551E-1,9.825820923E0,9.829719664E0 +7.368164060E-1,-1.588592529E-1,-1.610412598E-1,9.797286987E0,9.799898105E0 +7.391967770E-1,-1.492919922E-1,-1.848449707E-1,9.811553955E0,9.814430538E0 +7.415771480E-1,-1.827697754E-1,-1.896057129E-1,9.816314697E0,9.819846707E0 +7.439575190E-1,-1.827697754E-1,-2.133941650E-1,9.811553955E0,9.815576034E0 +7.463378900E-1,-1.540679932E-1,-1.848449707E-1,9.811553955E0,9.814504349E0 +7.486877440E-1,-1.588592529E-1,-2.038879395E-1,9.768737793E0,9.772156600E0 +7.510681150E-1,-1.779785156E-1,-1.943664551E-1,9.778244019E0,9.781794864E0 +7.534484860E-1,-1.540679932E-1,-1.753234863E-1,9.787780762E0,9.790563187E0 +7.558288570E-1,-1.827697754E-1,-1.753234863E-1,9.778244019E0,9.781523358E0 +7.582092280E-1,-1.397247314E-1,-1.848449707E-1,9.778244019E0,9.780989048E0 +7.605895990E-1,-1.732025146E-1,-1.800842285E-1,9.825820923E0,9.828997215E0 +7.629699700E-1,-1.732025146E-1,-1.753234863E-1,9.802047729E0,9.805145441E0 +7.653503420E-1,-1.445159912E-1,-2.086334229E-1,9.778244019E0,9.781537142E0 +7.677001950E-1,-1.492919922E-1,-1.991119385E-1,9.825820923E0,9.828971995E0 +7.700805660E-1,-1.684112549E-1,-1.800842285E-1,9.806793213E0,9.809892242E0 +7.724609370E-1,-1.540679932E-1,-1.753234863E-1,9.773498535E0,9.776285025E0 +7.748413080E-1,-1.636505127E-1,-2.038879395E-1,9.778244019E0,9.781738489E0 +7.772216790E-1,-1.732025146E-1,-2.086334229E-1,9.825820923E0,9.829561731E0 +7.796020500E-1,-1.636505127E-1,-1.800842285E-1,9.816314697E0,9.819330224E0 +7.819824220E-1,-1.684112549E-1,-1.610412598E-1,9.759231567E0,9.762012980E0 +7.843627930E-1,-1.971130371E-1,-1.658020020E-1,9.792526245E0,9.795913133E0 +7.867431640E-1,-1.684112549E-1,-1.658020020E-1,9.768737793E0,9.771596119E0 +7.891235350E-1,-1.732025146E-1,-1.896057129E-1,9.806793213E0,9.810155073E0 +7.915039060E-1,-1.779785156E-1,-2.133941650E-1,9.792526245E0,9.796467919E0 +7.938842770E-1,-1.684112549E-1,-1.658020020E-1,9.816314697E0,9.819159174E0 +7.962646480E-1,-2.019042969E-1,-2.038879395E-1,9.787780762E0,9.791985901E0 +7.986450190E-1,-1.540679932E-1,-1.991119385E-1,9.792526245E0,9.795761980E0 +8.010253900E-1,-1.971130371E-1,-1.896057129E-1,9.797286987E0,9.801103825E0 +8.034057610E-1,-1.875457764E-1,-1.658020020E-1,9.797286987E0,9.800484480E0 +8.057861330E-1,-1.732025146E-1,-1.896057129E-1,9.806793213E0,9.810155073E0 +8.081359860E-1,-1.636505127E-1,-1.753234863E-1,9.787780762E0,9.790718669E0 +8.105163570E-1,-1.636505127E-1,-1.896057129E-1,9.816314697E0,9.819509461E0 +8.128967280E-1,-2.066650391E-1,-1.800842285E-1,9.773498535E0,9.777341887E0 +8.152770990E-1,-1.779785156E-1,-1.848449707E-1,9.768737793E0,9.772107351E0 +8.176574700E-1,-1.732025146E-1,-1.896057129E-1,9.792526245E0,9.795893002E0 +8.200378420E-1,-1.732025146E-1,-1.896057129E-1,9.797286987E0,9.800652108E0 +8.224182130E-1,-1.779785156E-1,-1.991119385E-1,9.759231567E0,9.762884958E0 +8.247985840E-1,-1.875457764E-1,-2.133941650E-1,9.792526245E0,9.796646403E0 +8.271484370E-1,-1.732025146E-1,-2.086334229E-1,9.768737793E0,9.772500452E0 +8.295288080E-1,-1.779785156E-1,-1.943664551E-1,9.778244019E0,9.781794864E0 +8.319091790E-1,-1.779785156E-1,-1.896057129E-1,9.759231567E0,9.762695707E0 +8.342895500E-1,-1.779785156E-1,-1.896057129E-1,9.802047729E0,9.805496743E0 +8.366699220E-1,-1.588592529E-1,-1.991119385E-1,9.806793213E0,9.810100659E0 +8.390502930E-1,-2.019042969E-1,-1.943664551E-1,9.763992310E0,9.768013590E0 +8.414306640E-1,-1.827697754E-1,-1.658020020E-1,9.792526245E0,9.795635015E0 +8.438110350E-1,-1.779785156E-1,-1.515197754E-1,9.787780762E0,9.790571323E0 +8.461914060E-1,-1.732025146E-1,-1.753234863E-1,9.811553955E0,9.814648667E0 +8.485412590E-1,-1.540679932E-1,-1.896057129E-1,9.773498535E0,9.776551585E0 +8.509216310E-1,-1.445159912E-1,-1.705627441E-1,9.773498535E0,9.776054937E0 +8.533020020E-1,-1.684112549E-1,-1.800842285E-1,9.797286987E0,9.800389022E0 +8.556823730E-1,-1.540679932E-1,-1.800842285E-1,9.778244019E0,9.781115650E0 +8.580627440E-1,-1.684112549E-1,-1.705627441E-1,9.797286987E0,9.800218687E0 +8.604431150E-1,-1.684112549E-1,-2.086334229E-1,9.811553955E0,9.815216822E0 +8.628234860E-1,-1.349487305E-1,-1.467590332E-1,9.802047729E0,9.804075125E0 +8.652038570E-1,-1.636505127E-1,-1.991119385E-1,9.778244019E0,9.781640105E0 +8.675537110E-1,-1.492919922E-1,-1.991119385E-1,9.797286987E0,9.800447233E0 +8.699340820E-1,-1.588592529E-1,-1.753234863E-1,9.773498535E0,9.776361706E0 +8.723144530E-1,-1.779785156E-1,-2.038879395E-1,9.768737793E0,9.772486107E0 +8.746948240E-1,-1.588592529E-1,-1.800842285E-1,9.797286987E0,9.800229533E0 +8.770751950E-1,-1.875457764E-1,-1.896057129E-1,9.792526245E0,9.796157104E0 +8.794555660E-1,-1.349487305E-1,-1.562805176E-1,9.797286987E0,9.799462591E0 +8.818359370E-1,-1.684112549E-1,-1.991119385E-1,9.768737793E0,9.772218069E0 +8.842163080E-1,-1.732025146E-1,-1.610412598E-1,9.802047729E0,9.804900463E0 +8.865661620E-1,-1.971130371E-1,-1.848449707E-1,9.806793213E0,9.810515498E0 +8.889465330E-1,-1.684112549E-1,-1.848449707E-1,9.768737793E0,9.771937785E0 +8.913269040E-1,-2.019042969E-1,-1.943664551E-1,9.787780762E0,9.791792272E0 +8.937072750E-1,-1.492919922E-1,-1.515197754E-1,9.821060181E0,9.823363447E0 +8.960876460E-1,-1.827697754E-1,-1.515197754E-1,9.821060181E0,9.823929260E0 +8.984680170E-1,-2.019042969E-1,-1.848449707E-1,9.768737793E0,9.772572388E0 +9.008483880E-1,-1.636505127E-1,-2.133941650E-1,9.821060181E0,9.824741301E0 +9.032287590E-1,-1.684112549E-1,-2.038879395E-1,9.825820923E0,9.829378894E0 +9.056091310E-1,-1.684112549E-1,-1.753234863E-1,9.802047729E0,9.805061977E0 +9.079589840E-1,-1.875457764E-1,-1.943664551E-1,9.840087891E0,9.843794057E0 +9.103393550E-1,-1.875457764E-1,-1.658020020E-1,9.783004761E0,9.786206919E0 +9.127197260E-1,-1.636505127E-1,-2.086334229E-1,9.811553955E0,9.815136291E0 +9.151000970E-1,-1.923217773E-1,-1.800842285E-1,9.768737793E0,9.772290216E0 +9.174804680E-1,-2.114562988E-1,-1.705627441E-1,9.744964600E0,9.748750713E0 +9.198608400E-1,-2.066650391E-1,-1.896057129E-1,9.816314697E0,9.820320514E0 +9.222412110E-1,-1.875457764E-1,-2.038879395E-1,9.783004761E0,9.786926272E0 +9.246215820E-1,-1.827697754E-1,-1.896057129E-1,9.797286987E0,9.800825854E0 +9.269714350E-1,-2.114562988E-1,-1.753234863E-1,9.778244019E0,9.782101419E0 +9.293518060E-1,-1.779785156E-1,-1.991119385E-1,9.773498535E0,9.777146595E0 +9.317321770E-1,-1.684112549E-1,-1.991119385E-1,9.792526245E0,9.795998069E0 +9.341125490E-1,-1.827697754E-1,-1.896057129E-1,9.830566406E0,9.834093298E0 +9.364929200E-1,-1.588592529E-1,-1.753234863E-1,9.811553955E0,9.814406024E0 +9.388732910E-1,-1.684112549E-1,-1.991119385E-1,9.821060181E0,9.824521922E0 +9.412536620E-1,-1.923217773E-1,-1.991119385E-1,9.797286987E0,9.801197148E0 +9.436340330E-1,-1.971130371E-1,-2.133941650E-1,9.806793213E0,9.811094931E0 +9.459838860E-1,-1.540679932E-1,-1.943664551E-1,9.811553955E0,9.814688292E0 +9.483642580E-1,-1.540679932E-1,-1.991119385E-1,9.749725342E0,9.752975277E0 +9.507446290E-1,-2.066650391E-1,-1.705627441E-1,9.783004761E0,9.786673809E0 +9.531250000E-1,-1.684112549E-1,-1.610412598E-1,9.797286987E0,9.800057599E0 +9.555053710E-1,-1.588592529E-1,-1.753234863E-1,9.763992310E0,9.766858267E0 +9.578857420E-1,-1.732025146E-1,-1.848449707E-1,9.768737793E0,9.772021533E0 +9.602661130E-1,-2.019042969E-1,-1.610412598E-1,9.783004761E0,9.786413121E0 +9.626464840E-1,-1.827697754E-1,-1.753234863E-1,9.778244019E0,9.781523358E0 +9.649963380E-1,-1.827697754E-1,-1.753234863E-1,9.768737793E0,9.772020323E0 +9.673767090E-1,-2.019042969E-1,-1.991119385E-1,9.792526245E0,9.796631113E0 +9.697570800E-1,-1.875457764E-1,-1.705627441E-1,9.797286987E0,9.800566176E0 +9.721374510E-1,-1.923217773E-1,-1.896057129E-1,9.792526245E0,9.796249704E0 +9.745178220E-1,-1.875457764E-1,-1.943664551E-1,9.811553955E0,9.815270895E0 +9.768981930E-1,-1.923217773E-1,-1.515197754E-1,9.816314697E0,9.819367604E0 +9.792785640E-1,-1.588592529E-1,-1.848449707E-1,9.802047729E0,9.805077441E0 +9.816589350E-1,-1.492919922E-1,-2.086334229E-1,9.802047729E0,9.805404413E0 +9.840393060E-1,-1.588592529E-1,-1.943664551E-1,9.802047729E0,9.805261561E0 +9.863891600E-1,-1.827697754E-1,-1.800842285E-1,9.816314697E0,9.819667477E0 +9.887695310E-1,-1.732025146E-1,-1.896057129E-1,9.792526245E0,9.795893002E0 +9.911499020E-1,-1.875457764E-1,-1.800842285E-1,9.787780762E0,9.791233629E0 +9.935302730E-1,-2.066650391E-1,-1.896057129E-1,9.754470825E0,9.758502029E0 +9.959106440E-1,-1.732025146E-1,-1.753234863E-1,9.787780762E0,9.790882988E0 +9.982910150E-1,-1.636505127E-1,-1.610412598E-1,9.744964600E0,9.747668994E0 +1.000671386E0,-1.827697754E-1,-2.086334229E-1,9.778244019E0,9.782177098E0 +1.003051758E0,-1.875457764E-1,-1.800842285E-1,9.830566406E0,9.834004251E0 +1.005401611E0,-1.684112549E-1,-1.800842285E-1,9.787780762E0,9.790885809E0 +1.007781982E0,-1.732025146E-1,-1.896057129E-1,9.778244019E0,9.781615691E0 +1.010162353E0,-1.923217773E-1,-1.896057129E-1,9.797286987E0,9.801008637E0 +1.012542724E0,-1.492919922E-1,-1.467590332E-1,9.835327148E0,9.837554901E0 +1.014923095E0,-1.397247314E-1,-1.943664551E-1,9.797286987E0,9.800210897E0 +1.017303467E0,-1.684112549E-1,-2.038879395E-1,9.778244019E0,9.781819295E0 +1.019683838E0,-1.636505127E-1,-1.658020020E-1,9.806793213E0,9.809559874E0 +1.022064209E0,-1.779785156E-1,-1.991119385E-1,9.783004761E0,9.786649277E0 +1.024414062E0,-1.540679932E-1,-2.038879395E-1,9.811553955E0,9.814881469E0 +1.026794433E0,-1.540679932E-1,-2.229156494E-1,9.811553955E0,9.815295174E0 +1.029174804E0,-1.971130371E-1,-1.848449707E-1,9.778244019E0,9.781977167E0 +1.031555175E0,-1.732025146E-1,-1.991119385E-1,9.773498535E0,9.777060821E0 +1.033935547E0,-1.827697754E-1,-2.133941650E-1,9.768737793E0,9.772777493E0 +1.036315918E0,-1.732025146E-1,-1.848449707E-1,9.792526245E0,9.795802011E0 +1.038696289E0,-1.540679932E-1,-1.705627441E-1,9.787780762E0,9.790479091E0 +1.041076660E0,-2.066650391E-1,-1.943664551E-1,9.744964600E0,9.749093486E0 +1.043457031E0,-1.492919922E-1,-1.753234863E-1,9.783004761E0,9.785714515E0 +1.045806884E0,-1.875457764E-1,-1.943664551E-1,9.835327148E0,9.839035108E0 +1.048187256E0,-1.875457764E-1,-2.038879395E-1,9.778244019E0,9.782167439E0 +1.050567627E0,-1.875457764E-1,-2.324523926E-1,9.821060181E0,9.825600776E0 +1.052947998E0,-1.875457764E-1,-1.943664551E-1,9.844833374E0,9.848537754E0 +1.055328369E0,-1.875457764E-1,-1.991119385E-1,9.816314697E0,9.820124908E0 +1.057708740E0,-1.827697754E-1,-1.943664551E-1,9.768737793E0,9.772380528E0 +1.060089111E0,-1.732025146E-1,-1.753234863E-1,9.806793213E0,9.809889426E0 +1.062469482E0,-1.827697754E-1,-1.896057129E-1,9.806793213E0,9.810328651E0 +1.064849853E0,-2.019042969E-1,-1.896057129E-1,9.768737793E0,9.772663595E0 +1.067230224E0,-1.779785156E-1,-1.610412598E-1,9.816314697E0,9.819248692E0 +1.069610595E0,-1.732025146E-1,-1.896057129E-1,9.806793213E0,9.810155073E0 +1.071990967E0,-1.923217773E-1,-1.705627441E-1,9.787780762E0,9.791155782E0 +1.074371338E0,-2.019042969E-1,-2.086334229E-1,9.759231567E0,9.763549254E0 +1.076751709E0,-1.923217773E-1,-1.658020020E-1,9.749725342E0,9.753031437E0 +1.079132080E0,-1.492919922E-1,-1.753234863E-1,9.830566406E0,9.833263054E0 +1.081512451E0,-1.923217773E-1,-1.848449707E-1,9.787780762E0,9.791414993E0 +1.083862304E0,-1.588592529E-1,-1.753234863E-1,9.749725342E0,9.752595492E0 +1.086242675E0,-1.684112549E-1,-1.658020020E-1,9.816314697E0,9.819159174E0 +1.088623047E0,-1.732025146E-1,-1.705627441E-1,9.802047729E0,9.805061471E0 +1.091003418E0,-1.875457764E-1,-1.848449707E-1,9.773498535E0,9.777045295E0 +1.093383789E0,-1.827697754E-1,-1.658020020E-1,9.792526245E0,9.795635015E0 +1.095764160E0,-1.732025146E-1,-1.848449707E-1,9.806793213E0,9.810064215E0 +1.098144531E0,-1.875457764E-1,-1.848449707E-1,9.797286987E0,9.800825138E0 +1.100524902E0,-1.684112549E-1,-1.753234863E-1,9.802047729E0,9.805061977E0 +1.102905273E0,-1.445159912E-1,-2.038879395E-1,9.806793213E0,9.809976977E0 +1.105255127E0,-1.684112549E-1,-1.610412598E-1,9.802047729E0,9.804816996E0 +1.107635498E0,-1.636505127E-1,-1.991119385E-1,9.802047729E0,9.805435571E0 +1.110015869E0,-1.779785156E-1,-1.896057129E-1,9.797286987E0,9.800737676E0 +1.112396240E0,-1.492919922E-1,-2.133941650E-1,9.835327148E0,9.838774583E0 +1.114776611E0,-1.684112549E-1,-1.991119385E-1,9.821060181E0,9.824521922E0 +1.117156982E0,-2.019042969E-1,-1.753234863E-1,9.778244019E0,9.781899599E0 +1.119537353E0,-1.779785156E-1,-1.800842285E-1,9.802047729E0,9.805317250E0 +1.121917724E0,-1.540679932E-1,-2.038879395E-1,9.792526245E0,9.795860223E0 +1.124267578E0,-1.636505127E-1,-1.705627441E-1,9.792526245E0,9.795378676E0 +1.126647949E0,-1.827697754E-1,-1.705627441E-1,9.740203857E0,9.743411498E0 +1.129028320E0,-1.971130371E-1,-1.991119385E-1,9.792526245E0,9.796533539E0 +1.131408691E0,-1.445159912E-1,-1.658020020E-1,9.783004761E0,9.785476857E0 +1.133789062E0,-1.779785156E-1,-1.896057129E-1,9.802047729E0,9.805496743E0 +1.136169433E0,-1.492919922E-1,-1.610412598E-1,9.835327148E0,9.837778332E0 +1.138549804E0,-1.684112549E-1,-1.896057129E-1,9.783004761E0,9.786291168E0 +1.140899658E0,-1.636505127E-1,-1.848449707E-1,9.797286987E0,9.800397005E0 +1.143280029E0,-1.636505127E-1,-1.562805176E-1,9.825820923E0,9.828426217E0 +1.145660400E0,-1.492919922E-1,-1.848449707E-1,9.806793213E0,9.809671191E0 +1.148040771E0,-1.301574707E-1,-1.991119385E-1,9.802047729E0,9.804933769E0 +1.150421142E0,-2.066650391E-1,-1.943664551E-1,9.821060181E0,9.825157089E0 +1.152801513E0,-1.732025146E-1,-1.800842285E-1,9.811553955E0,9.814734864E0 +1.155181884E0,-1.588592529E-1,-1.896057129E-1,9.797286987E0,9.800409119E0 +1.157562256E0,-1.971130371E-1,-2.038879395E-1,9.773498535E0,9.777612053E0 +1.159942627E0,-1.971130371E-1,-1.943664551E-1,9.806793213E0,9.810699516E0 +1.162322998E0,-1.827697754E-1,-1.848449707E-1,9.773498535E0,9.776954847E0 +1.164672851E0,-1.684112549E-1,-2.038879395E-1,9.763992310E0,9.767572803E0 +1.167053222E0,-1.779785156E-1,-2.133941650E-1,9.778244019E0,9.782191447E0 +1.169433593E0,-1.684112549E-1,-1.991119385E-1,9.821060181E0,9.824521922E0 +1.171813965E0,-1.684112549E-1,-1.896057129E-1,9.778244019E0,9.781532025E0 +1.174194336E0,-1.732025146E-1,-1.800842285E-1,9.773498535E0,9.776691826E0 +1.176574707E0,-1.827697754E-1,-2.038879395E-1,9.821060181E0,9.824876496E0 +1.178955078E0,-1.684112549E-1,-1.800842285E-1,9.792526245E0,9.795629788E0 +1.181335449E0,-1.971130371E-1,-2.038879395E-1,9.773498535E0,9.777612053E0 +1.183685302E0,-2.019042969E-1,-1.753234863E-1,9.787780762E0,9.791432781E0 +1.186065674E0,-1.827697754E-1,-1.896057129E-1,9.816314697E0,9.819846707E0 +1.188446045E0,-1.875457764E-1,-1.991119385E-1,9.773498535E0,9.777325432E0 +1.190826416E0,-1.732025146E-1,-2.181701660E-1,9.773498535E0,9.777467512E0 +1.193206787E0,-2.019042969E-1,-2.181701660E-1,9.773498535E0,9.778018060E0 +1.195587158E0,-1.684112549E-1,-1.610412598E-1,9.797286987E0,9.800057599E0 +1.197967529E0,-1.732025146E-1,-2.181701660E-1,9.768737793E0,9.772708703E0 +1.200347900E0,-1.636505127E-1,-1.705627441E-1,9.806793213E0,9.809641495E0 +1.202697754E0,-1.779785156E-1,-1.991119385E-1,9.802047729E0,9.805685168E0 +1.205078125E0,-2.019042969E-1,-1.991119385E-1,9.797286987E0,9.801389862E0 +1.207458496E0,-2.162475586E-1,-2.038879395E-1,9.783004761E0,9.787518350E0 +1.209838867E0,-1.684112549E-1,-1.943664551E-1,9.792526245E0,9.795902762E0 +1.212219238E0,-1.684112549E-1,-1.896057129E-1,9.783004761E0,9.786291168E0 +1.214599609E0,-1.875457764E-1,-2.133941650E-1,9.778244019E0,9.782370192E0 +1.216979980E0,-1.923217773E-1,-2.038879395E-1,9.778244019E0,9.782260171E0 +1.219360351E0,-1.827697754E-1,-1.943664551E-1,9.806793213E0,9.810421817E0 +1.221740722E0,-1.684112549E-1,-2.038879395E-1,9.825820923E0,9.829378894E0 +1.224090576E0,-1.636505127E-1,-1.800842285E-1,9.759231567E0,9.762264727E0 +1.226470947E0,-1.779785156E-1,-1.848449707E-1,9.802047729E0,9.805405841E0 +1.228851318E0,-1.684112549E-1,-1.420135498E-1,9.806793213E0,9.809267216E0 +1.231231689E0,-1.684112549E-1,-2.181701660E-1,9.763992310E0,9.767881367E0 +1.233612060E0,-1.636505127E-1,-1.943664551E-1,9.787780762E0,9.791078186E0 +1.235992431E0,-1.588592529E-1,-1.800842285E-1,9.783004761E0,9.785951601E0 +1.238372802E0,-1.540679932E-1,-1.943664551E-1,9.773498535E0,9.776645073E0 +1.240753174E0,-1.588592529E-1,-1.848449707E-1,9.806793213E0,9.809821458E0 +1.243130492E0,-1.588592529E-1,-1.610412598E-1,9.802047729E0,9.804657579E0 +1.245510863E0,-1.684112549E-1,-1.658020020E-1,9.830566406E0,9.833406761E0 +1.247891234E0,-1.636505127E-1,-2.086334229E-1,9.806793213E0,9.810377287E0 +1.250271605E0,-1.732025146E-1,-1.658020020E-1,9.797286987E0,9.800220494E0 +1.252651976E0,-1.588592529E-1,-1.562805176E-1,9.797286987E0,9.799821028E0 +1.255032348E0,-1.684112549E-1,-1.943664551E-1,9.783004761E0,9.786384563E0 +1.257412719E0,-1.779785156E-1,-2.038879395E-1,9.787780762E0,9.791521786E0 +1.259793090E0,-1.445159912E-1,-1.943664551E-1,9.816314697E0,9.819302288E0 +1.262173461E0,-1.540679932E-1,-1.705627441E-1,9.783004761E0,9.785704407E0 +1.264523314E0,-1.636505127E-1,-1.848449707E-1,9.768737793E0,9.771856897E0 +1.266903685E0,-1.732025146E-1,-1.562805176E-1,9.754470825E0,9.757260056E0 +1.269284057E0,-1.732025146E-1,-1.610412598E-1,9.797286987E0,9.800141107E0 +1.271664428E0,-1.492919922E-1,-1.848449707E-1,9.787780762E0,9.790664329E0 +1.274044799E0,-1.636505127E-1,-1.991119385E-1,9.811553955E0,9.814938516E0 +1.276425170E0,-1.684112549E-1,-1.610412598E-1,9.816314697E0,9.819079940E0 +1.278805541E0,-1.732025146E-1,-2.038879395E-1,9.821060181E0,9.824703175E0 +1.281185912E0,-1.540679932E-1,-2.086334229E-1,9.778244019E0,9.781682930E0 +1.283535765E0,-1.492919922E-1,-1.848449707E-1,9.759231567E0,9.762123568E0 +1.285916137E0,-1.875457764E-1,-1.943664551E-1,9.802047729E0,9.805768273E0 +1.288296508E0,-1.540679932E-1,-2.086334229E-1,9.783004761E0,9.786441999E0 +1.290676879E0,-1.779785156E-1,-2.038879395E-1,9.778244019E0,9.781988690E0 +1.293057250E0,-1.540679932E-1,-1.896057129E-1,9.811553955E0,9.814595167E0 +1.295437621E0,-1.779785156E-1,-1.991119385E-1,9.797286987E0,9.800926192E0 +1.297817992E0,-1.588592529E-1,-2.038879395E-1,9.792526245E0,9.795936750E0 +1.300198363E0,-1.636505127E-1,-1.991119385E-1,9.797286987E0,9.800676475E0 +1.302548217E0,-1.827697754E-1,-1.800842285E-1,9.806793213E0,9.810149247E0 +1.304928588E0,-1.875457764E-1,-2.229156494E-1,9.811553955E0,9.815877741E0 +1.307308959E0,-1.875457764E-1,-1.991119385E-1,9.783004761E0,9.786827940E0 +1.309689330E0,-1.732025146E-1,-1.705627441E-1,9.783004761E0,9.786024367E0 +1.312069701E0,-1.827697754E-1,-2.133941650E-1,9.811553955E0,9.815576034E0 +1.314450072E0,-1.732025146E-1,-1.800842285E-1,9.773498535E0,9.776691826E0 +1.316830443E0,-1.636505127E-1,-1.943664551E-1,9.763992310E0,9.767297765E0 +1.319210814E0,-1.445159912E-1,-1.943664551E-1,9.787780762E0,9.790777060E0 +1.321591185E0,-1.588592529E-1,-1.848449707E-1,9.806793213E0,9.809821458E0 +1.323941039E0,-2.114562988E-1,-2.229156494E-1,9.759231567E0,9.764067080E0 +1.326321410E0,-1.636505127E-1,-1.991119385E-1,9.778244019E0,9.781640105E0 +1.328701781E0,-1.779785156E-1,-1.896057129E-1,9.759231567E0,9.762695707E0 +1.331082152E0,-1.875457764E-1,-1.800842285E-1,9.759231567E0,9.762694532E0 +1.333462523E0,-1.732025146E-1,-1.943664551E-1,9.763992310E0,9.767462478E0 +1.335842894E0,-2.019042969E-1,-1.848449707E-1,9.849609375E0,9.853412498E0 +1.338223265E0,-2.066650391E-1,-1.896057129E-1,9.802047729E0,9.806059374E0 +1.340603637E0,-2.019042969E-1,-1.848449707E-1,9.787780762E0,9.791607899E0 +1.342953490E0,-1.732025146E-1,-1.848449707E-1,9.802047729E0,9.805320314E0 +1.345333861E0,-1.732025146E-1,-1.848449707E-1,9.825820923E0,9.829085592E0 +1.347714232E0,-1.636505127E-1,-1.848449707E-1,9.806793213E0,9.809900217E0 +1.350094603E0,-1.971130371E-1,-1.943664551E-1,9.797286987E0,9.801197079E0 +1.352474974E0,-1.827697754E-1,-1.705627441E-1,9.840087891E0,9.843262982E0 +1.354855346E0,-1.779785156E-1,-1.753234863E-1,9.802047729E0,9.805230970E0 +1.357235717E0,-1.684112549E-1,-2.133941650E-1,9.797286987E0,9.801057684E0 +1.359616088E0,-1.588592529E-1,-1.943664551E-1,9.806793213E0,9.810005489E0 +1.361996459E0,-1.636505127E-1,-1.991119385E-1,9.792526245E0,9.795917380E0 +1.364376830E0,-1.492919922E-1,-1.753234863E-1,9.783004761E0,9.785714515E0 +1.366757201E0,-2.066650391E-1,-1.800842285E-1,9.759231567E0,9.763080536E0 +1.369137572E0,-1.875457764E-1,-1.753234863E-1,9.792526245E0,9.795891078E0 +1.371517943E0,-1.779785156E-1,-1.467590332E-1,9.811553955E0,9.814265412E0 +1.373898314E0,-1.492919922E-1,-1.896057129E-1,9.792526245E0,9.795499410E0 +1.376278685E0,-1.684112549E-1,-2.086334229E-1,9.821060181E0,9.824719504E0 +1.378659057E0,-1.636505127E-1,-1.658020020E-1,9.816314697E0,9.819078675E0 +1.381039428E0,-1.684112549E-1,-1.943664551E-1,9.787780762E0,9.791158916E0 +1.383389281E0,-1.779785156E-1,-1.991119385E-1,9.797286987E0,9.800926192E0 +1.385769652E0,-1.827697754E-1,-1.800842285E-1,9.802047729E0,9.805405387E0 +1.388150023E0,-1.875457764E-1,-2.086334229E-1,9.849609375E0,9.853603715E0 +1.390530394E0,-1.827697754E-1,-2.133941650E-1,9.797286987E0,9.801314921E0 +1.392910765E0,-1.971130371E-1,-1.991119385E-1,9.821060181E0,9.825055836E0 +1.395291137E0,-1.732025146E-1,-1.943664551E-1,9.792526245E0,9.795986305E0 +1.397671508E0,-1.827697754E-1,-1.800842285E-1,9.792526245E0,9.795887167E0 +1.400051879E0,-1.875457764E-1,-1.991119385E-1,9.816314697E0,9.820124908E0 +1.402401732E0,-1.827697754E-1,-1.562805176E-1,9.768737793E0,9.771697215E0 +1.404782103E0,-1.636505127E-1,-1.753234863E-1,9.802047729E0,9.804981362E0 +1.407162474E0,-1.397247314E-1,-2.086334229E-1,9.811553955E0,9.814766524E0 +1.409542846E0,-1.923217773E-1,-2.038879395E-1,9.806793213E0,9.810797678E0 +1.411923217E0,-1.588592529E-1,-1.705627441E-1,9.811553955E0,9.814322133E0 +1.414303588E0,-1.492919922E-1,-2.086334229E-1,9.783004761E0,9.786367976E0 +1.416683959E0,-1.827697754E-1,-1.896057129E-1,9.802047729E0,9.805584878E0 +1.419064330E0,-1.923217773E-1,-1.705627441E-1,9.802047729E0,9.805417839E0 +1.421414183E0,-1.540679932E-1,-1.943664551E-1,9.773498535E0,9.776645073E0 +1.423794555E0,-1.636505127E-1,-1.896057129E-1,9.759231567E0,9.762445011E0 +1.426174926E0,-1.779785156E-1,-2.038879395E-1,9.773498535E0,9.777245024E0 +1.428555297E0,-1.732025146E-1,-1.800842285E-1,9.787780762E0,9.790969394E0 +1.430935668E0,-1.779785156E-1,-1.753234863E-1,9.749725342E0,9.752925659E0 +1.433316039E0,-1.827697754E-1,-1.658020020E-1,9.759231567E0,9.762350940E0 +1.435696410E0,-1.971130371E-1,-2.038879395E-1,9.797286987E0,9.801390521E0 +1.438076781E0,-1.636505127E-1,-1.943664551E-1,9.778244019E0,9.781544658E0 +1.440457152E0,-1.636505127E-1,-2.086334229E-1,9.773498535E0,9.777094815E0 +1.442807006E0,-1.875457764E-1,-1.800842285E-1,9.811553955E0,9.814998460E0 +1.445187377E0,-1.636505127E-1,-1.800842285E-1,9.816314697E0,9.819330224E0 +1.447567748E0,-1.779785156E-1,-1.943664551E-1,9.811553955E0,9.815092750E0 +1.449948119E0,-1.684112549E-1,-1.848449707E-1,9.811553955E0,9.814739988E0 +1.452328490E0,-1.923217773E-1,-1.848449707E-1,9.816314697E0,9.819938369E0 +1.454708861E0,-1.636505127E-1,-1.753234863E-1,9.802047729E0,9.804981362E0 +1.457089232E0,-1.684112549E-1,-1.800842285E-1,9.802047729E0,9.805148259E0 +1.459469603E0,-1.732025146E-1,-1.943664551E-1,9.797286987E0,9.800745367E0 +1.461819457E0,-1.636505127E-1,-1.943664551E-1,9.806793213E0,9.810084247E0 +1.464199828E0,-1.779785156E-1,-1.800842285E-1,9.744964600E0,9.748253266E0 +1.466580199E0,-1.732025146E-1,-1.896057129E-1,9.816314697E0,9.819673298E0 +1.468960570E0,-1.875457764E-1,-1.753234863E-1,9.797286987E0,9.800650185E0 +1.471340941E0,-1.732025146E-1,-1.896057129E-1,9.773498535E0,9.776871844E0 +1.473721312E0,-1.588592529E-1,-2.324523926E-1,9.768737793E0,9.772794301E0 +1.476101683E0,-1.923217773E-1,-1.943664551E-1,9.783004761E0,9.786825233E0 +1.478482055E0,-1.636505127E-1,-1.800842285E-1,9.806793213E0,9.809811667E0 +1.480831908E0,-1.779785156E-1,-2.181701660E-1,9.778244019E0,9.782296799E0 +1.483212279E0,-1.827697754E-1,-1.705627441E-1,9.783004761E0,9.786198373E0 +1.485592650E0,-1.492919922E-1,-1.800842285E-1,9.802047729E0,9.804838506E0 +1.487973021E0,-1.684112549E-1,-2.133941650E-1,9.797286987E0,9.801057684E0 +1.490353392E0,-1.732025146E-1,-2.086334229E-1,9.773498535E0,9.777259362E0 +1.492733764E0,-1.732025146E-1,-1.658020020E-1,9.802047729E0,9.804979812E0 +1.495114135E0,-1.540679932E-1,-1.943664551E-1,9.830566406E0,9.833694684E0 +1.497494506E0,-1.445159912E-1,-1.943664551E-1,9.792526245E0,9.795521091E0 +1.499874877E0,-1.540679932E-1,-1.943664551E-1,9.792526245E0,9.795666671E0 +1.502224730E0,-1.684112549E-1,-1.658020020E-1,9.840087891E0,9.842925498E0 +1.504605101E0,-1.779785156E-1,-1.800842285E-1,9.830566406E0,9.833826445E0 +1.506985473E0,-1.540679932E-1,-2.038879395E-1,9.806793213E0,9.810122342E0 +1.509365844E0,-1.732025146E-1,-1.896057129E-1,9.802047729E0,9.805411217E0 +1.511746215E0,-1.684112549E-1,-1.658020020E-1,9.763992310E0,9.766852025E0 +1.514126586E0,-1.492919922E-1,-1.658020020E-1,9.773498535E0,9.776044804E0 +1.516506957E0,-1.636505127E-1,-1.896057129E-1,9.792526245E0,9.795728767E0 +1.518887328E0,-1.732025146E-1,-1.800842285E-1,9.778244019E0,9.781435760E0 +1.521237182E0,-1.732025146E-1,-1.991119385E-1,9.759231567E0,9.762799059E0 +1.523617553E0,-1.827697754E-1,-1.943664551E-1,9.754470825E0,9.758118886E0 +1.525997924E0,-1.827697754E-1,-1.896057129E-1,9.811553955E0,9.815087678E0 +1.528378295E0,-1.540679932E-1,-1.991119385E-1,9.840087891E0,9.843307991E0 +1.530758666E0,-1.588592529E-1,-1.896057129E-1,9.778244019E0,9.781372229E0 +1.533139037E0,-1.779785156E-1,-2.229156494E-1,9.768737793E0,9.772901606E0 +1.535519408E0,-1.779785156E-1,-1.991119385E-1,9.825820923E0,9.829449564E0 +1.537899779E0,-1.732025146E-1,-1.896057129E-1,9.825820923E0,9.829176275E0 +1.540249633E0,-1.588592529E-1,-1.991119385E-1,9.802047729E0,9.805356777E0 +1.542630004E0,-1.684112549E-1,-1.800842285E-1,9.811553955E0,9.814651481E0 +1.545010375E0,-1.684112549E-1,-2.038879395E-1,9.802047729E0,9.805614327E0 +1.547390746E0,-1.779785156E-1,-1.800842285E-1,9.768737793E0,9.772018458E0 +1.549771117E0,-1.779785156E-1,-1.658020020E-1,9.797286987E0,9.800306065E0 +1.552151488E0,-1.875457764E-1,-1.896057129E-1,9.811553955E0,9.815177775E0 +1.554531859E0,-1.636505127E-1,-1.800842285E-1,9.806793213E0,9.809811667E0 +1.556912230E0,-1.827697754E-1,-1.705627441E-1,9.773498535E0,9.776695252E0 +1.559262084E0,-1.827697754E-1,-1.991119385E-1,9.835327148E0,9.839040119E0 +1.561642455E0,-1.875457764E-1,-1.896057129E-1,9.802047729E0,9.805675063E0 +1.564022826E0,-1.349487305E-1,-2.086334229E-1,9.802047729E0,9.805196518E0 +1.566403197E0,-1.684112549E-1,-2.038879395E-1,9.773498535E0,9.777075547E0 +1.568783568E0,-1.827697754E-1,-1.705627441E-1,9.806793213E0,9.809979081E0 +1.571163939E0,-2.019042969E-1,-1.991119385E-1,9.806793213E0,9.810892112E0 +1.573544310E0,-1.636505127E-1,-1.896057129E-1,9.763992310E0,9.767204187E0 +1.575924682E0,-1.827697754E-1,-2.038879395E-1,9.783004761E0,9.786835915E0 +1.578305053E0,-1.636505127E-1,-1.943664551E-1,9.787780762E0,9.791078186E0 +1.580654906E0,-1.779785156E-1,-1.991119385E-1,9.787780762E0,9.791423500E0 +1.583035277E0,-1.588592529E-1,-1.848449707E-1,9.763992310E0,9.767033825E0 +1.585415648E0,-1.779785156E-1,-1.753234863E-1,9.773498535E0,9.776691071E0 +1.587796019E0,-1.779785156E-1,-1.848449707E-1,9.821060181E0,9.824411793E0 +1.590176390E0,-1.875457764E-1,-1.896057129E-1,9.773498535E0,9.777136460E0 +1.592556762E0,-1.827697754E-1,-1.943664551E-1,9.802047729E0,9.805678090E0 +1.594937133E0,-1.684112549E-1,-1.896057129E-1,9.849609375E0,9.852873566E0 +1.597317504E0,-1.875457764E-1,-2.086334229E-1,9.811553955E0,9.815563781E0 +1.599667357E0,-1.779785156E-1,-2.038879395E-1,9.792526245E0,9.796265457E0 +1.602047728E0,-1.971130371E-1,-1.848449707E-1,9.787780762E0,9.791510274E0 +1.604428099E0,-1.732025146E-1,-1.943664551E-1,9.811553955E0,9.815007307E0 +1.606808471E0,-1.492919922E-1,-1.943664551E-1,9.787780762E0,9.790848720E0 +1.609188842E0,-1.875457764E-1,-1.991119385E-1,9.825820923E0,9.829627449E0 +1.611569213E0,-1.684112549E-1,-1.610412598E-1,9.797286987E0,9.800057599E0 +1.613949584E0,-1.540679932E-1,-1.896057129E-1,9.773498535E0,9.776551585E0 +1.616329955E0,-1.779785156E-1,-1.800842285E-1,9.792526245E0,9.795798944E0 +1.618679808E0,-1.827697754E-1,-2.181701660E-1,9.811553955E0,9.815681027E0 +1.621060180E0,-1.588592529E-1,-1.991119385E-1,9.806793213E0,9.810100659E0 +1.623440551E0,-1.540679932E-1,-1.943664551E-1,9.763992310E0,9.767141910E0 +1.625820922E0,-1.923217773E-1,-1.848449707E-1,9.783004761E0,9.786640766E0 +1.628201293E0,-1.732025146E-1,-1.991119385E-1,9.821060181E0,9.824605221E0 +1.630581664E0,-1.875457764E-1,-1.753234863E-1,9.792526245E0,9.795891078E0 +1.632962035E0,-1.492919922E-1,-2.038879395E-1,9.773498535E0,9.776764905E0 +1.635342406E0,-1.732025146E-1,-1.658020020E-1,9.806793213E0,9.809723877E0 +1.637722777E0,-1.636505127E-1,-1.705627441E-1,9.816314697E0,9.819160217E0 +1.640103148E0,-1.588592529E-1,-1.705627441E-1,9.773498535E0,9.776277488E0 +1.642483519E0,-1.684112549E-1,-1.515197754E-1,9.778244019E0,9.780867890E0 +1.644863890E0,-1.540679932E-1,-1.753234863E-1,9.802047729E0,9.804826106E0 +1.647244262E0,-1.445159912E-1,-1.896057129E-1,9.787780762E0,9.790683706E0 +1.649624633E0,-1.827697754E-1,-2.038879395E-1,9.806793213E0,9.810615078E0 +1.652005004E0,-1.923217773E-1,-1.896057129E-1,9.778244019E0,9.781972913E0 +1.654385375E0,-1.445159912E-1,-1.753234863E-1,9.802047729E0,9.804680662E0 +1.656765746E0,-1.492919922E-1,-1.943664551E-1,9.802047729E0,9.805111224E0 +1.659115599E0,-1.684112549E-1,-2.133941650E-1,9.759231567E0,9.763016962E0 +1.661495971E0,-1.732025146E-1,-1.610412598E-1,9.778244019E0,9.781103695E0 +1.663876342E0,-1.492919922E-1,-1.848449707E-1,9.783004761E0,9.785889735E0 +1.666256713E0,-1.684112549E-1,-1.705627441E-1,9.749725342E0,9.752671339E0 +1.668637084E0,-1.684112549E-1,-1.800842285E-1,9.763992310E0,9.767104919E0 +1.671017455E0,-1.732025146E-1,-1.753234863E-1,9.787780762E0,9.790882988E0 +1.673397826E0,-1.492919922E-1,-1.753234863E-1,9.754470825E0,9.757188504E0 +1.675778197E0,-1.540679932E-1,-1.991119385E-1,9.763992310E0,9.767237497E0 +1.678128051E0,-1.636505127E-1,-1.848449707E-1,9.759231567E0,9.762353709E0 +1.680508422E0,-1.827697754E-1,-1.943664551E-1,9.773498535E0,9.777139496E0 +1.682888793E0,-1.779785156E-1,-1.705627441E-1,9.763992310E0,9.767103656E0 +1.685269164E0,-1.684112549E-1,-1.943664551E-1,9.778244019E0,9.781625466E0 +1.687649535E0,-1.779785156E-1,-1.848449707E-1,9.816314697E0,9.819667930E0 +1.690029906E0,-1.588592529E-1,-2.038879395E-1,9.797286987E0,9.800695836E0 +1.692410277E0,-1.923217773E-1,-1.705627441E-1,9.778244019E0,9.781622330E0 +1.694790648E0,-1.875457764E-1,-1.800842285E-1,9.802047729E0,9.805495573E0 +1.697171019E0,-1.684112549E-1,-2.038879395E-1,9.783004761E0,9.786578298E0 +1.699520873E0,-1.636505127E-1,-1.991119385E-1,9.783004761E0,9.786399195E0 +1.701901244E0,-1.923217773E-1,-1.610412598E-1,9.802047729E0,9.805256837E0 +1.704281615E0,-1.732025146E-1,-1.848449707E-1,9.768737793E0,9.772021533E0 +1.706661986E0,-1.636505127E-1,-2.133941650E-1,9.783004761E0,9.786700195E0 +1.709042357E0,-2.066650391E-1,-1.753234863E-1,9.768737793E0,9.772496448E0 +1.711422728E0,-1.636505127E-1,-1.800842285E-1,9.821060181E0,9.824074251E0 +1.713803099E0,-1.827697754E-1,-1.658020020E-1,9.778244019E0,9.781357328E0 +1.716183471E0,-1.875457764E-1,-1.896057129E-1,9.773498535E0,9.777136460E0 +1.718533324E0,-1.875457764E-1,-1.658020020E-1,9.802047729E0,9.805243669E0 +1.720913695E0,-2.114562988E-1,-1.562805176E-1,9.825820923E0,9.829338440E0 +1.723294066E0,-1.827697754E-1,-1.896057129E-1,9.802047729E0,9.805584878E0 +1.725674437E0,-2.114562988E-1,-2.086334229E-1,9.797286987E0,9.801789326E0 +1.728054808E0,-2.019042969E-1,-1.943664551E-1,9.783004761E0,9.787018229E0 +1.730435180E0,-1.636505127E-1,-1.943664551E-1,9.816314697E0,9.819602540E0 +1.732815551E0,-1.732025146E-1,-2.086334229E-1,9.806793213E0,9.810541276E0 +1.735195922E0,-1.923217773E-1,-2.086334229E-1,9.778244019E0,9.782360229E0 +1.737576293E0,-1.732025146E-1,-1.658020020E-1,9.802047729E0,9.804979812E0 +1.739926146E0,-2.019042969E-1,-1.848449707E-1,9.783004761E0,9.786833766E0 +1.742306517E0,-1.732025146E-1,-1.562805176E-1,9.754470825E0,9.757260056E0 +1.744686889E0,-1.540679932E-1,-1.896057129E-1,9.806793213E0,9.809835900E0 +1.747067260E0,-1.732025146E-1,-1.753234863E-1,9.802047729E0,9.805145441E0 +1.749447631E0,-1.971130371E-1,-1.896057129E-1,9.816314697E0,9.820124139E0 +1.751828002E0,-1.827697754E-1,-1.562805176E-1,9.792526245E0,9.795478480E0 +1.754208373E0,-1.540679932E-1,-2.038879395E-1,9.773498535E0,9.776839001E0 +1.756588744E0,-1.540679932E-1,-1.896057129E-1,9.806793213E0,9.809835900E0 +1.758938598E0,-1.875457764E-1,-1.562805176E-1,9.802047729E0,9.805087287E0 +1.761318969E0,-1.875457764E-1,-1.324768066E-1,9.830566406E0,9.833247652E0 +1.763699340E0,-1.636505127E-1,-1.848449707E-1,9.806793213E0,9.809900217E0 +1.766079711E0,-1.540679932E-1,-1.848449707E-1,9.792526245E0,9.795482371E0 +1.768460082E0,-1.779785156E-1,-2.038879395E-1,9.806793213E0,9.810526987E0 +1.770840453E0,-1.492919922E-1,-1.467590332E-1,9.792526245E0,9.794763732E0 +1.773220824E0,-1.684112549E-1,-2.038879395E-1,9.778244019E0,9.781819295E0 +1.775601195E0,-1.779785156E-1,-1.943664551E-1,9.778244019E0,9.781794864E0 +1.777951049E0,-1.684112549E-1,-1.848449707E-1,9.830566406E0,9.833746279E0 +1.780331420E0,-1.540679932E-1,-1.705627441E-1,9.816314697E0,9.819005185E0 +1.782711791E0,-1.636505127E-1,-1.848449707E-1,9.792526245E0,9.795637775E0 +1.785092162E0,-1.779785156E-1,-2.038879395E-1,9.802047729E0,9.805783311E0 +1.787472533E0,-1.779785156E-1,-2.038879395E-1,9.797286987E0,9.801024383E0 +1.789852904E0,-1.827697754E-1,-1.705627441E-1,9.773498535E0,9.776695252E0 +1.792233275E0,-1.732025146E-1,-2.086334229E-1,9.806793213E0,9.810541276E0 +1.794613646E0,-1.445159912E-1,-1.943664551E-1,9.787780762E0,9.790777060E0 +1.796994017E0,-1.540679932E-1,-2.038879395E-1,9.821060181E0,9.824384475E0 +1.799343871E0,-1.779785156E-1,-1.848449707E-1,9.768737793E0,9.772107351E0 +1.801724242E0,-1.492919922E-1,-1.753234863E-1,9.806793213E0,9.809496396E0 +1.804104613E0,-1.732025146E-1,-2.276763916E-1,9.802047729E0,9.806221257E0 +1.806484984E0,-1.445159912E-1,-1.991119385E-1,9.806793213E0,9.809878876E0 +1.808865355E0,-1.492919922E-1,-1.800842285E-1,9.797286987E0,9.800079119E0 +1.811245726E0,-1.636505127E-1,-2.038879395E-1,9.797286987E0,9.800774668E0 +1.813626098E0,-1.636505127E-1,-1.800842285E-1,9.768737793E0,9.771768002E0 +1.816006469E0,-1.636505127E-1,-1.943664551E-1,9.783004761E0,9.786303794E0 +1.818356322E0,-1.588592529E-1,-1.848449707E-1,9.763992310E0,9.767033825E0 +1.820736693E0,-1.732025146E-1,-1.848449707E-1,9.811553955E0,9.814823370E0 +1.823117064E0,-1.779785156E-1,-1.848449707E-1,9.773498535E0,9.776866453E0 +1.825497435E0,-1.875457764E-1,-1.943664551E-1,9.783004761E0,9.786732544E0 +1.827877807E0,-1.827697754E-1,-1.991119385E-1,9.783004761E0,9.786737582E0 +1.830258178E0,-1.588592529E-1,-2.133941650E-1,9.787780762E0,9.791395486E0 +1.832638549E0,-2.019042969E-1,-1.896057129E-1,9.806793213E0,9.810703787E0 +1.835018920E0,-1.636505127E-1,-2.229156494E-1,9.802047729E0,9.805947816E0 +1.837368773E0,-1.971130371E-1,-1.991119385E-1,9.802047729E0,9.806051132E0 +1.839749144E0,-2.019042969E-1,-1.943664551E-1,9.783004761E0,9.787018229E0 +1.842129515E0,-2.019042969E-1,-2.086334229E-1,9.802047729E0,9.806346564E0 +1.844509887E0,-1.971130371E-1,-2.038879395E-1,9.792526245E0,9.796631773E0 +1.846890258E0,-1.827697754E-1,-1.896057129E-1,9.797286987E0,9.800825854E0 +1.849270629E0,-1.875457764E-1,-2.038879395E-1,9.802047729E0,9.805961626E0 +1.851651000E0,-1.732025146E-1,-1.896057129E-1,9.811553955E0,9.814914185E0 +1.854031371E0,-1.923217773E-1,-1.943664551E-1,9.797286987E0,9.801101892E0 +1.856381224E0,-1.875457764E-1,-2.038879395E-1,9.768737793E0,9.772665029E0 +1.858761596E0,-2.019042969E-1,-2.038879395E-1,9.768737793E0,9.772951126E0 +1.861141967E0,-1.971130371E-1,-1.991119385E-1,9.816314697E0,9.820312284E0 +1.863522338E0,-1.923217773E-1,-1.753234863E-1,9.787780762E0,9.791239872E0 +1.865902709E0,-1.684112549E-1,-1.991119385E-1,9.759231567E0,9.762715232E0 +1.868283080E0,-1.827697754E-1,-1.705627441E-1,9.816314697E0,9.819497476E0 +1.870663451E0,-1.636505127E-1,-1.753234863E-1,9.811553955E0,9.814484746E0 +1.873043822E0,-1.779785156E-1,-1.896057129E-1,9.802047729E0,9.805496743E0 +1.875424193E0,-2.114562988E-1,-1.562805176E-1,9.768737793E0,9.772275857E0 +1.877774047E0,-1.827697754E-1,-1.562805176E-1,9.773498535E0,9.776456516E0 +1.880154418E0,-1.923217773E-1,-1.896057129E-1,9.811553955E0,9.815270195E0 +1.882534789E0,-1.588592529E-1,-2.038879395E-1,9.816314697E0,9.819716940E0 +1.884915160E0,-1.779785156E-1,-1.800842285E-1,9.825820923E0,9.829082535E0 +1.887295531E0,-1.349487305E-1,-2.038879395E-1,9.816314697E0,9.819359230E0 +1.889675902E0,-1.684112549E-1,-2.086334229E-1,9.778244019E0,9.781919359E0 +1.892056273E0,-1.397247314E-1,-2.086334229E-1,9.783004761E0,9.786226702E0 +1.894436644E0,-1.636505127E-1,-1.943664551E-1,9.792526245E0,9.795822072E0 +1.896786498E0,-1.636505127E-1,-1.658020020E-1,9.787780762E0,9.790552795E0 +1.899166869E0,-1.732025146E-1,-1.896057129E-1,9.792526245E0,9.795893002E0 +1.901547240E0,-1.588592529E-1,-1.753234863E-1,9.778244019E0,9.781105800E0 +1.903927611E0,-1.779785156E-1,-1.896057129E-1,9.783004761E0,9.786460485E0 +1.906307982E0,-1.588592529E-1,-1.753234863E-1,9.806793213E0,9.809646666E0 +1.908688353E0,-1.540679932E-1,-1.800842285E-1,9.787780762E0,9.790649596E0 +1.911068724E0,-1.492919922E-1,-1.753234863E-1,9.787780762E0,9.790489194E0 +1.913449096E0,-1.779785156E-1,-1.705627441E-1,9.783004761E0,9.786110062E0 +1.915798949E0,-1.875457764E-1,-1.896057129E-1,9.749725342E0,9.753372134E0 +1.918179320E0,-1.779785156E-1,-2.086334229E-1,9.792526245E0,9.796365373E0 +1.920559691E0,-1.540679932E-1,-1.896057129E-1,9.773498535E0,9.776551585E0 +1.922940062E0,-1.397247314E-1,-1.800842285E-1,9.763992310E0,9.766652403E0 +1.925320433E0,-1.779785156E-1,-2.038879395E-1,9.802047729E0,9.805783311E0 +1.927700805E0,-1.875457764E-1,-1.800842285E-1,9.816314697E0,9.819757532E0 +1.930081176E0,-1.684112549E-1,-1.896057129E-1,9.797286987E0,9.800568605E0 +1.932461547E0,-1.636505127E-1,-1.896057129E-1,9.787780762E0,9.790984836E0 +1.934841918E0,-1.684112549E-1,-1.896057129E-1,9.821060181E0,9.824333858E0 +1.937222289E0,-1.827697754E-1,-1.991119385E-1,9.787780762E0,9.791511762E0 +1.939602660E0,-1.827697754E-1,-2.133941650E-1,9.778244019E0,9.782279793E0 +1.941983031E0,-1.588592529E-1,-2.133941650E-1,9.792526245E0,9.796139219E0 +1.944363402E0,-1.636505127E-1,-1.800842285E-1,9.821060181E0,9.824074251E0 +1.946743773E0,-1.636505127E-1,-1.753234863E-1,9.802047729E0,9.804981362E0 +1.949124144E0,-1.971130371E-1,-1.800842285E-1,9.773498535E0,9.777144649E0 +1.951504515E0,-1.827697754E-1,-1.705627441E-1,9.797286987E0,9.800475945E0 +1.953884887E0,-1.636505127E-1,-1.610412598E-1,9.830566406E0,9.833247258E0 +1.956234740E0,-2.019042969E-1,-1.800842285E-1,9.792526245E0,9.796262856E0 +1.958615111E0,-2.019042969E-1,-1.753234863E-1,9.816314697E0,9.819956105E0 +1.960995482E0,-1.971130371E-1,-1.848449707E-1,9.811553955E0,9.815274435E0 +1.963375853E0,-1.540679932E-1,-1.943664551E-1,9.787780762E0,9.790922710E0 +1.965756224E0,-1.827697754E-1,-1.705627441E-1,9.783004761E0,9.786198373E0 +1.968136596E0,-1.971130371E-1,-1.753234863E-1,9.797286987E0,9.800837933E0 +1.970516967E0,-1.875457764E-1,-1.848449707E-1,9.787780762E0,9.791322348E0 +1.972897338E0,-1.875457764E-1,-1.800842285E-1,9.763992310E0,9.767453587E0 +1.975247191E0,-1.827697754E-1,-1.991119385E-1,9.768737793E0,9.772476064E0 +1.977627562E0,-2.066650391E-1,-1.753234863E-1,9.778244019E0,9.781999021E0 +1.980007933E0,-2.019042969E-1,-2.133941650E-1,9.783004761E0,9.787414601E0 +1.982388305E0,-1.684112549E-1,-1.943664551E-1,9.816314697E0,9.819683035E0 +1.984768676E0,-1.971130371E-1,-1.848449707E-1,9.806793213E0,9.810515498E0 +1.987149047E0,-1.779785156E-1,-1.658020020E-1,9.806793213E0,9.809809365E0 +1.989529418E0,-1.923217773E-1,-2.038879395E-1,9.797286987E0,9.801295336E0 +1.991909789E0,-2.114562988E-1,-1.800842285E-1,9.783004761E0,9.786946727E0 +1.994290160E0,-1.732025146E-1,-1.943664551E-1,9.835327148E0,9.838772156E0 +1.996640014E0,-1.779785156E-1,-1.800842285E-1,9.787780762E0,9.791055046E0 +1.999020385E0,-1.971130371E-1,-2.038879395E-1,9.787780762E0,9.791888280E0 +2.001400756E0,-1.732025146E-1,-1.658020020E-1,9.830566406E0,9.833489985E0 +2.003781127E0,-1.684112549E-1,-1.848449707E-1,9.797286987E0,9.800477658E0 +2.006161498E0,-1.875457764E-1,-1.896057129E-1,9.811553955E0,9.815177775E0 +2.008541869E0,-1.779785156E-1,-1.896057129E-1,9.773498535E0,9.776957620E0 +2.010922240E0,-1.732025146E-1,-1.943664551E-1,9.825820923E0,9.829269263E0 +2.013302611E0,-1.684112549E-1,-2.133941650E-1,9.802047729E0,9.805816596E0 +2.015652465E0,-1.540679932E-1,-1.896057129E-1,9.783004761E0,9.786054845E0 +2.018032836E0,-1.827697754E-1,-1.848449707E-1,9.773498535E0,9.776954847E0 +2.020413207E0,-1.445159912E-1,-1.848449707E-1,9.792526245E0,9.795336788E0 +2.022793578E0,-1.636505127E-1,-1.991119385E-1,9.763992310E0,9.767393351E0 +2.025173949E0,-1.492919922E-1,-1.896057129E-1,9.802047729E0,9.805018007E0 +2.027554320E0,-1.588592529E-1,-1.705627441E-1,9.773498535E0,9.776277488E0 +2.029934691E0,-1.397247314E-1,-1.896057129E-1,9.797286987E0,9.800117634E0 +2.032315062E0,-1.779785156E-1,-1.991119385E-1,9.763992310E0,9.767643919E0 +2.034664916E0,-1.684112549E-1,-1.848449707E-1,9.806793213E0,9.809980792E0 +2.037045287E0,-1.827697754E-1,-1.943664551E-1,9.802047729E0,9.805678090E0 +2.039425658E0,-1.684112549E-1,-1.658020020E-1,9.768737793E0,9.771596119E0 +2.041806029E0,-1.732025146E-1,-1.753234863E-1,9.802047729E0,9.805145441E0 +2.044186400E0,-1.636505127E-1,-1.610412598E-1,9.811553955E0,9.814240001E0 +2.046566771E0,-1.540679932E-1,-1.991119385E-1,9.768737793E0,9.771981405E0 +2.048947142E0,-1.588592529E-1,-1.800842285E-1,9.754470825E0,9.757426283E0 +2.051327514E0,-1.971130371E-1,-1.848449707E-1,9.797286987E0,9.801012883E0 +2.053707885E0,-1.732025146E-1,-1.705627441E-1,9.816314697E0,9.819324060E0 +2.056057738E0,-1.684112549E-1,-1.943664551E-1,9.802047729E0,9.805420968E0 +2.058438109E0,-1.636505127E-1,-1.991119385E-1,9.811553955E0,9.814938516E0 +2.060818480E0,-1.588592529E-1,-1.800842285E-1,9.797286987E0,9.800229533E0 +2.063198851E0,-1.636505127E-1,-2.038879395E-1,9.797286987E0,9.800774668E0 +2.065579223E0,-1.827697754E-1,-1.991119385E-1,9.787780762E0,9.791511762E0 +2.067959594E0,-1.540679932E-1,-1.800842285E-1,9.792526245E0,9.795393690E0 +2.070339965E0,-1.445159912E-1,-1.753234863E-1,9.787780762E0,9.790417531E0 +2.072720336E0,-1.875457764E-1,-1.753234863E-1,9.792526245E0,9.795891078E0 +2.075070189E0,-1.923217773E-1,-2.038879395E-1,9.773498535E0,9.777516636E0 +2.077450560E0,-2.019042969E-1,-1.896057129E-1,9.787780762E0,9.791698929E0 +2.079830932E0,-1.827697754E-1,-1.848449707E-1,9.759231567E0,9.762692930E0 +2.082211303E0,-2.066650391E-1,-1.800842285E-1,9.763992310E0,9.767839402E0 +2.084591674E0,-1.827697754E-1,-1.943664551E-1,9.759231567E0,9.762877849E0 +2.086972045E0,-1.349487305E-1,-1.753234863E-1,9.797286987E0,9.799784783E0 +2.089352416E0,-1.875457764E-1,-2.133941650E-1,9.792526245E0,9.796646403E0 +2.091732787E0,-1.684112549E-1,-1.943664551E-1,9.787780762E0,9.791158916E0 +2.094113158E0,-1.971130371E-1,-1.943664551E-1,9.797286987E0,9.801197079E0 +2.096463012E0,-1.971130371E-1,-1.896057129E-1,9.806793213E0,9.810606352E0 +2.098843383E0,-1.923217773E-1,-1.800842285E-1,9.778244019E0,9.781792989E0 +2.101223754E0,-1.971130371E-1,-1.896057129E-1,9.811553955E0,9.815365245E0 +2.103604125E0,-1.923217773E-1,-2.038879395E-1,9.816314697E0,9.820315280E0 +2.105984496E0,-1.875457764E-1,-1.896057129E-1,9.759231567E0,9.762874809E0 +2.108364867E0,-1.827697754E-1,-1.896057129E-1,9.768737793E0,9.772286999E0 +2.110745238E0,-1.827697754E-1,-1.753234863E-1,9.792526245E0,9.795800803E0 +2.113125609E0,-1.779785156E-1,-1.658020020E-1,9.787780762E0,9.790802771E0 +2.115475463E0,-2.019042969E-1,-2.086334229E-1,9.811553955E0,9.815848627E0 +2.117855834E0,-1.971130371E-1,-1.943664551E-1,9.763992310E0,9.767915729E0 +2.120236205E0,-2.066650391E-1,-1.753234863E-1,9.792526245E0,9.796275773E0 +2.122616576E0,-1.588592529E-1,-1.800842285E-1,9.763992310E0,9.766944886E0 +2.124996947E0,-1.779785156E-1,-1.991119385E-1,9.778244019E0,9.781890308E0 +2.127377318E0,-1.875457764E-1,-1.658020020E-1,9.811553955E0,9.814746799E0 +2.129757689E0,-1.684112549E-1,-1.991119385E-1,9.778244019E0,9.781720912E0 +2.132138060E0,-1.875457764E-1,-1.848449707E-1,9.787780762E0,9.791322348E0 +2.134487914E0,-1.445159912E-1,-1.896057129E-1,9.797286987E0,9.800187116E0 +2.136868285E0,-1.779785156E-1,-1.848449707E-1,9.811553955E0,9.814908814E0 +2.139248656E0,-1.684112549E-1,-2.038879395E-1,9.806793213E0,9.810358085E0 +2.141629027E0,-1.779785156E-1,-2.086334229E-1,9.783004761E0,9.786847624E0 +2.144009398E0,-1.779785156E-1,-1.848449707E-1,9.802047729E0,9.805405841E0 +2.146389769E0,-1.588592529E-1,-1.848449707E-1,9.816314697E0,9.819340006E0 +2.148770140E0,-1.445159912E-1,-2.038879395E-1,9.797286987E0,9.800473839E0 +2.151150512E0,-1.588592529E-1,-1.848449707E-1,9.778244019E0,9.781281103E0 +2.153500365E0,-1.732025146E-1,-1.705627441E-1,9.830566406E0,9.833571408E0 +2.155880736E0,-1.875457764E-1,-1.991119385E-1,9.797286987E0,9.801104596E0 +2.158261107E0,-1.827697754E-1,-1.753234863E-1,9.787780762E0,9.791056907E0 +2.160641478E0,-1.732025146E-1,-1.610412598E-1,9.816314697E0,9.819163286E0 +2.163021849E0,-1.445159912E-1,-1.943664551E-1,9.787780762E0,9.790777060E0 +2.165402221E0,-1.779785156E-1,-1.896057129E-1,9.759231567E0,9.762695707E0 +2.167782592E0,-1.732025146E-1,-1.896057129E-1,9.806793213E0,9.810155073E0 +2.170162963E0,-1.827697754E-1,-1.896057129E-1,9.792526245E0,9.796066832E0 +2.172543334E0,-1.827697754E-1,-1.610412598E-1,9.787780762E0,9.790811576E0 +2.174893187E0,-1.779785156E-1,-1.753234863E-1,9.797286987E0,9.800471774E0 +2.177273558E0,-1.875457764E-1,-1.800842285E-1,9.792526245E0,9.795977440E0 +2.179653930E0,-1.732025146E-1,-1.705627441E-1,9.797286987E0,9.800302193E0 +2.182034301E0,-1.636505127E-1,-1.800842285E-1,9.787780762E0,9.790805077E0 +2.184414672E0,-1.875457764E-1,-1.705627441E-1,9.811553955E0,9.814828378E0 +2.186795043E0,-1.636505127E-1,-1.896057129E-1,9.821060181E0,9.824253401E0 +2.189175414E0,-1.779785156E-1,-1.943664551E-1,9.806793213E0,9.810333725E0 +2.191555785E0,-1.779785156E-1,-1.991119385E-1,9.797286987E0,9.800926192E0 +2.193905639E0,-1.636505127E-1,-1.705627441E-1,9.802047729E0,9.804897390E0 +2.196286010E0,-1.492919922E-1,-1.800842285E-1,9.830566406E0,9.833349088E0 +2.198666381E0,-1.636505127E-1,-1.943664551E-1,9.787780762E0,9.791078186E0 +2.201046752E0,-1.971130371E-1,-2.086334229E-1,9.792526245E0,9.796731685E0 +2.203427123E0,-1.684112549E-1,-1.562805176E-1,9.816314697E0,9.819003014E0 +2.205807494E0,-1.588592529E-1,-1.800842285E-1,9.811553955E0,9.814492223E0 +2.208187865E0,-1.684112549E-1,-1.991119385E-1,9.783004761E0,9.786479963E0 +2.210568236E0,-1.588592529E-1,-1.610412598E-1,9.830566406E0,9.833168687E0 +2.212948607E0,-1.923217773E-1,-1.896057129E-1,9.797286987E0,9.801008637E0 +2.215328978E0,-1.684112549E-1,-2.133941650E-1,9.792526245E0,9.796298775E0 +2.217709349E0,-1.779785156E-1,-1.800842285E-1,9.783004761E0,9.786280643E0 +2.220089721E0,-1.684112549E-1,-2.038879395E-1,9.821060181E0,9.824619876E0 +2.222470092E0,-2.114562988E-1,-1.991119385E-1,9.797286987E0,9.801591281E0 +2.224850463E0,-1.684112549E-1,-1.800842285E-1,9.783004761E0,9.786111323E0 +2.227230834E0,-1.732025146E-1,-1.562805176E-1,9.806793213E0,9.809567566E0 +2.229611205E0,-1.732025146E-1,-1.991119385E-1,9.802047729E0,9.805599643E0 +2.231991576E0,-1.684112549E-1,-1.896057129E-1,9.783004761E0,9.786291168E0 +2.234341430E0,-1.875457764E-1,-1.658020020E-1,9.797286987E0,9.800484480E0 +2.236721801E0,-1.875457764E-1,-2.038879395E-1,9.811553955E0,9.815464061E0 +2.239102172E0,-1.923217773E-1,-2.038879395E-1,9.821060181E0,9.825058831E0 +2.241482543E0,-1.779785156E-1,-1.896057129E-1,9.787780762E0,9.791234800E0 +2.243862914E0,-1.923217773E-1,-1.800842285E-1,9.802047729E0,9.805588085E0 +2.246243285E0,-1.636505127E-1,-1.658020020E-1,9.773498535E0,9.776274618E0 +2.248623656E0,-1.636505127E-1,-1.848449707E-1,9.792526245E0,9.795637775E0 +2.251004027E0,-1.684112549E-1,-1.896057129E-1,9.792526245E0,9.795809458E0 +2.253353881E0,-1.875457764E-1,-1.848449707E-1,9.830566406E0,9.834092584E0 +2.255734252E0,-1.684112549E-1,-2.038879395E-1,9.797286987E0,9.800855317E0 +2.258114623E0,-1.732025146E-1,-1.943664551E-1,9.763992310E0,9.767462478E0 +2.260494994E0,-2.019042969E-1,-2.086334229E-1,9.744964600E0,9.749288605E0 +2.262875365E0,-1.684112549E-1,-1.800842285E-1,9.821060181E0,9.824154709E0 +2.265255736E0,-1.971130371E-1,-1.896057129E-1,9.806793213E0,9.810606352E0 +2.267636107E0,-1.540679932E-1,-1.753234863E-1,9.806793213E0,9.809570245E0 +2.270016478E0,-1.588592529E-1,-1.800842285E-1,9.787780762E0,9.790726165E0 +2.272366332E0,-1.732025146E-1,-2.133941650E-1,9.773498535E0,9.777362108E0 +2.274746703E0,-1.588592529E-1,-1.943664551E-1,9.792526245E0,9.795743200E0 +2.277127074E0,-1.779785156E-1,-1.610412598E-1,9.816314697E0,9.819248692E0 +2.279507445E0,-1.636505127E-1,-1.943664551E-1,9.811553955E0,9.814843393E0 +2.281887816E0,-1.684112549E-1,-2.038879395E-1,9.768737793E0,9.772316548E0 +2.284268187E0,-1.636505127E-1,-1.658020020E-1,9.773498535E0,9.776274618E0 +2.286648558E0,-1.779785156E-1,-1.658020020E-1,9.835327148E0,9.838334553E0 +2.289028930E0,-1.588592529E-1,-2.038879395E-1,9.816314697E0,9.819716940E0 +2.291409301E0,-1.540679932E-1,-1.991119385E-1,9.840087891E0,9.843307991E0 +2.293759154E0,-1.779785156E-1,-1.848449707E-1,9.816314697E0,9.819667930E0 +2.296139525E0,-1.636505127E-1,-1.515197754E-1,9.825820923E0,9.828351670E0 +2.298519896E0,-1.636505127E-1,-1.753234863E-1,9.797286987E0,9.800222045E0 +2.300900267E0,-1.684112549E-1,-1.896057129E-1,9.787780762E0,9.791065566E0 +2.303280639E0,-1.827697754E-1,-1.753234863E-1,9.811553955E0,9.814822165E0 +2.305661010E0,-1.827697754E-1,-1.705627441E-1,9.787780762E0,9.790972816E0 +2.308041381E0,-1.636505127E-1,-1.610412598E-1,9.778244019E0,9.780939212E0 +2.310421752E0,-1.445159912E-1,-1.991119385E-1,9.797286987E0,9.800375643E0 +2.312771605E0,-1.684112549E-1,-1.896057129E-1,9.773498535E0,9.776788138E0 +2.315151976E0,-1.827697754E-1,-1.943664551E-1,9.744964600E0,9.748616218E0 +2.317532348E0,-1.684112549E-1,-1.848449707E-1,9.792526245E0,9.795718467E0 +2.319912719E0,-1.588592529E-1,-1.896057129E-1,9.787780762E0,9.790905925E0 +2.322293090E0,-1.588592529E-1,-1.896057129E-1,9.763992310E0,9.767125084E0 +2.324673461E0,-1.875457764E-1,-1.848449707E-1,9.806793213E0,9.810327935E0 +2.327053832E0,-1.684112549E-1,-1.896057129E-1,9.773498535E0,9.776788138E0 +2.329434203E0,-1.588592529E-1,-1.896057129E-1,9.802047729E0,9.805168345E0 +2.331784057E0,-1.875457764E-1,-1.991119385E-1,9.792526245E0,9.796345709E0 +2.334164428E0,-1.779785156E-1,-1.800842285E-1,9.811553955E0,9.814820309E0 +2.336544799E0,-1.779785156E-1,-1.800842285E-1,9.821060181E0,9.824323374E0 +2.338925170E0,-1.492919922E-1,-1.705627441E-1,9.787780762E0,9.790405098E0 +2.341305541E0,-1.684112549E-1,-1.848449707E-1,9.802047729E0,9.805236851E0 +2.343685912E0,-2.019042969E-1,-1.943664551E-1,9.825820923E0,9.829816909E0 +2.346066283E0,-1.779785156E-1,-1.800842285E-1,9.797286987E0,9.800558096E0 +2.348446654E0,-1.971130371E-1,-2.181701660E-1,9.763992310E0,9.768418377E0 +2.350827025E0,-1.875457764E-1,-1.943664551E-1,9.806793213E0,9.810511957E0 +2.353176879E0,-1.684112549E-1,-1.753234863E-1,9.830566406E0,9.833571912E0 +2.355557250E0,-2.114562988E-1,-1.896057129E-1,9.821060181E0,9.825166012E0 +2.357937621E0,-1.684112549E-1,-1.848449707E-1,9.783004761E0,9.786200088E0 +2.360317992E0,-1.588592529E-1,-1.753234863E-1,9.811553955E0,9.814406024E0 +2.362698363E0,-1.588592529E-1,-1.705627441E-1,9.816314697E0,9.819081533E0 +2.365078734E0,-1.923217773E-1,-1.896057129E-1,9.792526245E0,9.796249704E0 +2.367459105E0,-1.923217773E-1,-1.753234863E-1,9.811553955E0,9.815004687E0 +2.369839476E0,-1.779785156E-1,-1.943664551E-1,9.797286987E0,9.800830933E0 +2.372189330E0,-1.923217773E-1,-2.324523926E-1,9.783004761E0,9.787655691E0 +2.374569701E0,-1.971130371E-1,-2.086334229E-1,9.811553955E0,9.815751243E0 +2.376950072E0,-1.827697754E-1,-1.896057129E-1,9.825820923E0,9.829349517E0 +2.379330443E0,-1.779785156E-1,-2.086334229E-1,9.806793213E0,9.810626758E0 +2.381710814E0,-1.827697754E-1,-1.991119385E-1,9.792526245E0,9.796255438E0 +2.384091185E0,-1.636505127E-1,-1.896057129E-1,9.787780762E0,9.790984836E0 +2.386471557E0,-1.636505127E-1,-1.610412598E-1,9.783004761E0,9.785698643E0 +2.388851928E0,-1.732025146E-1,-1.943664551E-1,9.787780762E0,9.791242499E0 +2.391201781E0,-1.875457764E-1,-1.896057129E-1,9.797286987E0,9.800916082E0 +2.393582152E0,-1.732025146E-1,-1.896057129E-1,9.778244019E0,9.781615691E0 +2.395962523E0,-1.684112549E-1,-1.610412598E-1,9.759231567E0,9.762012980E0 +2.398342894E0,-1.588592529E-1,-1.848449707E-1,9.778244019E0,9.781281103E0 +2.400723265E0,-1.779785156E-1,-1.705627441E-1,9.806793213E0,9.809890984E0 +2.403103637E0,-1.732025146E-1,-1.848449707E-1,9.802047729E0,9.805320314E0 +2.405484008E0,-1.732025146E-1,-1.658020020E-1,9.768737793E0,9.771679870E0 +2.407864379E0,-1.636505127E-1,-2.038879395E-1,9.773498535E0,9.776994702E0 +2.410244750E0,-1.923217773E-1,-2.133941650E-1,9.821060181E0,9.825260699E0 +2.412594603E0,-1.779785156E-1,-1.610412598E-1,9.773498535E0,9.776445379E0 +2.414974974E0,-1.827697754E-1,-2.038879395E-1,9.792526245E0,9.796353676E0 +2.417355346E0,-1.875457764E-1,-1.991119385E-1,9.787780762E0,9.791602076E0 +2.419735717E0,-1.779785156E-1,-1.848449707E-1,9.792526245E0,9.795887621E0 +2.422116088E0,-1.923217773E-1,-1.848449707E-1,9.811553955E0,9.815179384E0 +2.424496459E0,-1.971130371E-1,-1.705627441E-1,9.778244019E0,9.781717706E0 +2.426876830E0,-1.636505127E-1,-1.848449707E-1,9.806793213E0,9.809900217E0 +2.429257201E0,-1.875457764E-1,-1.991119385E-1,9.773498535E0,9.777325432E0 +2.431607055E0,-1.636505127E-1,-1.705627441E-1,9.763992310E0,9.766853074E0 +2.433987426E0,-1.636505127E-1,-2.038879395E-1,9.816314697E0,9.819795620E0 +2.436367797E0,-1.732025146E-1,-1.943664551E-1,9.811553955E0,9.815007307E0 +2.438748168E0,-1.875457764E-1,-1.991119385E-1,9.802047729E0,9.805863484E0 +2.441128539E0,-1.684112549E-1,-1.943664551E-1,9.773498535E0,9.776881624E0 +2.443508910E0,-1.732025146E-1,-1.610412598E-1,9.825820923E0,9.828666756E0 +2.445889281E0,-1.684112549E-1,-2.038879395E-1,9.811553955E0,9.815117098E0 +2.448269652E0,-1.923217773E-1,-1.658020020E-1,9.768737793E0,9.772037456E0 +2.450619506E0,-1.827697754E-1,-1.943664551E-1,9.787780762E0,9.791416412E0 +2.452999877E0,-1.684112549E-1,-1.896057129E-1,9.797286987E0,9.800568605E0 +2.455380248E0,-1.875457764E-1,-1.848449707E-1,9.773498535E0,9.777045295E0 +2.457760619E0,-1.684112549E-1,-1.753234863E-1,9.773498535E0,9.776521585E0 +2.460140990E0,-1.636505127E-1,-1.896057129E-1,9.821060181E0,9.824253401E0 +2.462521361E0,-1.827697754E-1,-1.800842285E-1,9.797286987E0,9.800646276E0 +2.464901732E0,-1.636505127E-1,-2.038879395E-1,9.783004761E0,9.786497531E0 +2.467282103E0,-1.684112549E-1,-1.705627441E-1,9.792526245E0,9.795459370E0 +2.469662474E0,-1.732025146E-1,-1.943664551E-1,9.773498535E0,9.776965329E0 +2.472012328E0,-1.779785156E-1,-1.705627441E-1,9.802047729E0,9.805147000E0 +2.474392699E0,-1.540679932E-1,-1.610412598E-1,9.792526245E0,9.795062098E0 +2.476773070E0,-1.540679932E-1,-1.943664551E-1,9.811553955E0,9.814688292E0 +2.479153441E0,-1.684112549E-1,-2.229156494E-1,9.787780762E0,9.791767255E0 +2.481533812E0,-1.875457764E-1,-2.038879395E-1,9.763992310E0,9.767921454E0 +2.483914183E0,-1.971130371E-1,-2.038879395E-1,9.806793213E0,9.810892771E0 +2.486294555E0,-1.779785156E-1,-1.753234863E-1,9.806793213E0,9.809974913E0 +2.488674926E0,-1.445159912E-1,-1.800842285E-1,9.806793213E0,9.809511115E0 +2.491055297E0,-1.684112549E-1,-1.800842285E-1,9.797286987E0,9.800389022E0 +2.493435668E0,-1.732025146E-1,-1.848449707E-1,9.802047729E0,9.805320314E0 +2.495816039E0,-1.684112549E-1,-1.896057129E-1,9.792526245E0,9.795809458E0 +2.498196410E0,-1.492919922E-1,-1.562805176E-1,9.768737793E0,9.771128377E0 +2.500576781E0,-1.779785156E-1,-1.800842285E-1,9.825820923E0,9.829082535E0 +2.502957152E0,-1.779785156E-1,-1.943664551E-1,9.806793213E0,9.810333725E0 +2.505337523E0,-1.827697754E-1,-1.943664551E-1,9.802047729E0,9.805678090E0 +2.507717894E0,-1.732025146E-1,-2.038879395E-1,9.773498535E0,9.777159251E0 +2.510067748E0,-2.066650391E-1,-1.848449707E-1,9.787780762E0,9.791707223E0 +2.512448119E0,-1.827697754E-1,-1.943664551E-1,9.821060181E0,9.824683516E0 +2.514828490E0,-1.779785156E-1,-1.705627441E-1,9.773498535E0,9.776606856E0 +2.517208861E0,-1.684112549E-1,-1.896057129E-1,9.792526245E0,9.795809458E0 +2.519589232E0,-1.923217773E-1,-1.800842285E-1,9.811553955E0,9.815090881E0 +2.521969603E0,-1.875457764E-1,-1.943664551E-1,9.797286987E0,9.801009338E0 +2.524349974E0,-2.066650391E-1,-1.943664551E-1,9.749725342E0,9.753852213E0 +2.526730346E0,-1.732025146E-1,-1.610412598E-1,9.773498535E0,9.776359599E0 +2.529110717E0,-1.540679932E-1,-2.038879395E-1,9.840087891E0,9.843405759E0 +2.531460570E0,-1.445159912E-1,-2.133941650E-1,9.778244019E0,9.781639843E0 +2.533840941E0,-1.636505127E-1,-2.181701660E-1,9.763992310E0,9.767800445E0 +2.536221312E0,-1.779785156E-1,-2.038879395E-1,9.797286987E0,9.801024383E0 +2.538601683E0,-1.684112549E-1,-1.896057129E-1,9.783004761E0,9.786291168E0 +2.540982055E0,-1.875457764E-1,-1.991119385E-1,9.759231567E0,9.763064056E0 +2.543362426E0,-1.923217773E-1,-1.943664551E-1,9.811553955E0,9.815363315E0 +2.545742797E0,-1.540679932E-1,-1.848449707E-1,9.821060181E0,9.824007720E0 +2.548123168E0,-1.636505127E-1,-2.086334229E-1,9.792526245E0,9.796115539E0 +2.550473021E0,-1.779785156E-1,-1.896057129E-1,9.773498535E0,9.776957620E0 +2.552853392E0,-2.114562988E-1,-1.753234863E-1,9.792526245E0,9.796378022E0 +2.555233764E0,-1.875457764E-1,-1.658020020E-1,9.778244019E0,9.781447736E0 +2.557614135E0,-1.779785156E-1,-1.848449707E-1,9.802047729E0,9.805405841E0 +2.559994506E0,-1.971130371E-1,-1.896057129E-1,9.830566406E0,9.834370328E0 +2.562374877E0,-1.732025146E-1,-1.800842285E-1,9.840087891E0,9.843259579E0 +2.564755248E0,-1.588592529E-1,-1.753234863E-1,9.763992310E0,9.766858267E0 +2.567135619E0,-1.923217773E-1,-1.562805176E-1,9.792526245E0,9.795661362E0 +2.569485473E0,-1.636505127E-1,-1.705627441E-1,9.802047729E0,9.804897390E0 +2.571865844E0,-1.588592529E-1,-1.848449707E-1,9.778244019E0,9.781281103E0 +2.574246215E0,-1.779785156E-1,-1.896057129E-1,9.816314697E0,9.819758699E0 +2.576626586E0,-1.779785156E-1,-1.753234863E-1,9.778244019E0,9.781435005E0 +2.579006957E0,-1.492919922E-1,-1.753234863E-1,9.811553955E0,9.814255827E0 +2.581387328E0,-2.066650391E-1,-1.658020020E-1,9.787780762E0,9.791366247E0 +2.583767699E0,-1.971130371E-1,-1.753234863E-1,9.802047729E0,9.805596951E0 +2.586148070E0,-1.875457764E-1,-1.753234863E-1,9.773498535E0,9.776869916E0 +2.588528441E0,-1.875457764E-1,-1.943664551E-1,9.797286987E0,9.801009338E0 +2.590878295E0,-1.827697754E-1,-1.705627441E-1,9.806793213E0,9.809979081E0 +2.593258666E0,-1.732025146E-1,-1.753234863E-1,9.811553955E0,9.814648667E0 +2.595639037E0,-1.588592529E-1,-1.991119385E-1,9.792526245E0,9.795838509E0 +2.598019408E0,-1.923217773E-1,-2.038879395E-1,9.778244019E0,9.782260171E0 +2.600399779E0,-2.019042969E-1,-1.658020020E-1,9.787780762E0,9.791266919E0 +2.602780150E0,-1.588592529E-1,-1.896057129E-1,9.816314697E0,9.819430779E0 +2.605160521E0,-1.684112549E-1,-1.658020020E-1,9.811553955E0,9.814399812E0 +2.607540892E0,-1.732025146E-1,-1.515197754E-1,9.797286987E0,9.799989269E0 +2.609890746E0,-1.827697754E-1,-1.562805176E-1,9.802047729E0,9.804997098E0 +2.612271117E0,-1.540679932E-1,-1.705627441E-1,9.816314697E0,9.819005185E0 +2.614651488E0,-1.779785156E-1,-1.705627441E-1,9.768737793E0,9.771847628E0 +2.617031859E0,-1.445159912E-1,-1.753234863E-1,9.759231567E0,9.761876048E0 +2.619412230E0,-1.684112549E-1,-2.086334229E-1,9.797286987E0,9.800955186E0 +2.621792601E0,-1.636505127E-1,-1.943664551E-1,9.797286987E0,9.800581213E0 +2.624172973E0,-1.779785156E-1,-1.753234863E-1,9.754470825E0,9.757669586E0 +2.626553344E0,-1.636505127E-1,-1.658020020E-1,9.763992310E0,9.766771095E0 +2.628903197E0,-1.636505127E-1,-1.800842285E-1,9.802047729E0,9.805067644E0 +2.631283568E0,-1.732025146E-1,-1.800842285E-1,9.768737793E0,9.771932639E0 +2.633663939E0,-1.540679932E-1,-2.086334229E-1,9.806793213E0,9.810222116E0 +2.636044310E0,-1.732025146E-1,-1.515197754E-1,9.811553955E0,9.814252308E0 +2.638424682E0,-1.636505127E-1,-1.610412598E-1,9.783004761E0,9.785698643E0 +2.640805053E0,-1.827697754E-1,-1.943664551E-1,9.763992310E0,9.767636814E0 +2.643185424E0,-1.779785156E-1,-1.896057129E-1,9.825820923E0,9.829261594E0 +2.645565795E0,-1.540679932E-1,-1.800842285E-1,9.821060181E0,9.823919297E0 +2.647946166E0,-1.875457764E-1,-1.753234863E-1,9.797286987E0,9.800650185E0 +2.650296019E0,-1.732025146E-1,-1.705627441E-1,9.816314697E0,9.819324060E0 +2.652676390E0,-1.588592529E-1,-1.753234863E-1,9.797286987E0,9.800143208E0 +2.655056762E0,-1.732025146E-1,-1.991119385E-1,9.806793213E0,9.810343409E0 +2.657437133E0,-1.684112549E-1,-1.753234863E-1,9.806793213E0,9.809806002E0 +2.659817504E0,-1.779785156E-1,-2.086334229E-1,9.816314697E0,9.820144525E0 +2.662197875E0,-1.588592529E-1,-1.991119385E-1,9.749725342E0,9.753052141E0 +2.664578246E0,-2.019042969E-1,-1.848449707E-1,9.783004761E0,9.786833766E0 +2.666958617E0,-1.971130371E-1,-1.943664551E-1,9.749725342E0,9.753654500E0 +2.669308471E0,-2.114562988E-1,-1.658020020E-1,9.792526245E0,9.796212244E0 +2.671688842E0,-1.684112549E-1,-1.800842285E-1,9.802047729E0,9.805148259E0 +2.674069213E0,-1.684112549E-1,-1.991119385E-1,9.778244019E0,9.781720912E0 +2.676449584E0,-1.588592529E-1,-2.133941650E-1,9.787780762E0,9.791395486E0 +2.678829955E0,-1.588592529E-1,-1.848449707E-1,9.787780762E0,9.790814888E0 +2.681210326E0,-1.445159912E-1,-1.896057129E-1,9.787780762E0,9.790683706E0 +2.683590697E0,-1.779785156E-1,-1.943664551E-1,9.811553955E0,9.815092750E0 +2.685971068E0,-1.875457764E-1,-1.943664551E-1,9.802047729E0,9.805768273E0 +2.688320922E0,-1.684112549E-1,-1.753234863E-1,9.821060181E0,9.824068594E0 +2.690701293E0,-1.732025146E-1,-2.133941650E-1,9.816314697E0,9.820161425E0 +2.693081664E0,-1.875457764E-1,-2.038879395E-1,9.797286987E0,9.801202784E0 +2.695462035E0,-1.779785156E-1,-2.038879395E-1,9.825820923E0,9.829547469E0 +2.697842406E0,-1.875457764E-1,-2.086334229E-1,9.759231567E0,9.763262882E0 +2.700222777E0,-1.827697754E-1,-2.086334229E-1,9.792526245E0,9.796453591E0 +2.702603148E0,-1.779785156E-1,-1.753234863E-1,9.840087891E0,9.843258829E0 +2.704983519E0,-1.684112549E-1,-1.896057129E-1,9.806793213E0,9.810071651E0 +2.707363890E0,-1.636505127E-1,-1.943664551E-1,9.778244019E0,9.781544658E0 +2.709713744E0,-1.684112549E-1,-2.038879395E-1,9.783004761E0,9.786578298E0 +2.712094115E0,-1.971130371E-1,-1.848449707E-1,9.821060181E0,9.824777060E0 +2.714474486E0,-1.684112549E-1,-1.658020020E-1,9.778244019E0,9.781099567E0 +2.716854857E0,-1.827697754E-1,-1.753234863E-1,9.759231567E0,9.762517293E0 +2.719235228E0,-1.732025146E-1,-1.896057129E-1,9.821060181E0,9.824417159E0 +2.721615599E0,-1.636505127E-1,-1.991119385E-1,9.773498535E0,9.776896270E0 +2.723995971E0,-1.636505127E-1,-1.610412598E-1,9.773498535E0,9.776195037E0 +2.726376342E0,-2.019042969E-1,-1.943664551E-1,9.816314697E0,9.820314552E0 +2.728726195E0,-1.684112549E-1,-1.753234863E-1,9.806793213E0,9.809806002E0 +2.731106566E0,-1.684112549E-1,-1.705627441E-1,9.787780762E0,9.790715308E0 +2.733486937E0,-1.588592529E-1,-1.896057129E-1,9.783004761E0,9.786131449E0 +2.735867308E0,-1.684112549E-1,-1.848449707E-1,9.825820923E0,9.829002331E0 +2.738247680E0,-1.971130371E-1,-1.800842285E-1,9.797286987E0,9.800924252E0 +2.740628051E0,-1.827697754E-1,-1.753234863E-1,9.759231567E0,9.762517293E0 +2.743008422E0,-1.636505127E-1,-1.896057129E-1,9.783004761E0,9.786210399E0 +2.745388793E0,-1.732025146E-1,-1.753234863E-1,9.811553955E0,9.814648667E0 +2.747738646E0,-1.588592529E-1,-1.705627441E-1,9.778244019E0,9.781021623E0 +2.750119017E0,-1.875457764E-1,-1.562805176E-1,9.835327148E0,9.838356424E0 +2.752499389E0,-1.732025146E-1,-1.705627441E-1,9.797286987E0,9.800302193E0 +2.754879760E0,-1.492919922E-1,-1.896057129E-1,9.816314697E0,9.819280659E0 +2.757260131E0,-1.684112549E-1,-2.133941650E-1,9.792526245E0,9.796298775E0 +2.759640502E0,-1.588592529E-1,-1.848449707E-1,9.811553955E0,9.814580732E0 +2.762020873E0,-1.588592529E-1,-1.800842285E-1,9.840087891E0,9.843017641E0 +2.764401244E0,-1.875457764E-1,-1.943664551E-1,9.806793213E0,9.810511957E0 +2.766781615E0,-1.923217773E-1,-1.991119385E-1,9.787780762E0,9.791694719E0 +2.769131469E0,-1.779785156E-1,-1.896057129E-1,9.802047729E0,9.805496743E0 +2.771511840E0,-1.923217773E-1,-1.705627441E-1,9.792526245E0,9.795899631E0 +2.773892211E0,-1.732025146E-1,-1.800842285E-1,9.773498535E0,9.776691826E0 +2.776272582E0,-1.875457764E-1,-1.705627441E-1,9.797286987E0,9.800566176E0 +2.778652953E0,-1.732025146E-1,-2.133941650E-1,9.797286987E0,9.801141183E0 +2.781033324E0,-1.923217773E-1,-1.943664551E-1,9.773498535E0,9.777322722E0 +2.783413695E0,-1.779785156E-1,-1.658020020E-1,9.768737793E0,9.771765691E0 +2.785794066E0,-1.732025146E-1,-1.848449707E-1,9.811553955E0,9.814823370E0 +2.788174437E0,-1.827697754E-1,-1.848449707E-1,9.787780762E0,9.791232031E0 +2.790554808E0,-1.827697754E-1,-2.133941650E-1,9.787780762E0,9.791812605E0 +2.792935180E0,-1.684112549E-1,-1.800842285E-1,9.821060181E0,9.824154709E0 +2.795315551E0,-1.779785156E-1,-1.562805176E-1,9.811553955E0,9.814412411E0 +2.797695922E0,-1.827697754E-1,-1.943664551E-1,9.806793213E0,9.810421817E0 +2.800076293E0,-2.019042969E-1,-1.943664551E-1,9.802047729E0,9.806053404E0 +2.802456664E0,-1.636505127E-1,-1.848449707E-1,9.792526245E0,9.795637775E0 +2.804837035E0,-1.445159912E-1,-1.800842285E-1,9.802047729E0,9.804766947E0 +2.807186889E0,-1.779785156E-1,-2.038879395E-1,9.802047729E0,9.805783311E0 +2.809567260E0,-1.923217773E-1,-1.705627441E-1,9.792526245E0,9.795899631E0 +2.811947631E0,-1.732025146E-1,-2.086334229E-1,9.816314697E0,9.820059127E0 +2.814328002E0,-1.779785156E-1,-1.991119385E-1,9.792526245E0,9.796167219E0 +2.816708373E0,-1.779785156E-1,-2.086334229E-1,9.806793213E0,9.810626758E0 +2.819088744E0,-1.684112549E-1,-1.753234863E-1,9.797286987E0,9.800302699E0 +2.821469115E0,-1.684112549E-1,-1.848449707E-1,9.792526245E0,9.795718467E0 +2.823849486E0,-1.636505127E-1,-1.991119385E-1,9.773498535E0,9.776896270E0 +2.826229857E0,-1.636505127E-1,-1.753234863E-1,9.811553955E0,9.814484746E0 +2.828579711E0,-1.540679932E-1,-1.753234863E-1,9.802047729E0,9.804826106E0 +2.830960082E0,-1.732025146E-1,-1.800842285E-1,9.749725342E0,9.752926416E0 +2.833340453E0,-1.636505127E-1,-1.705627441E-1,9.783004761E0,9.785859967E0 +2.835720824E0,-1.827697754E-1,-1.943664551E-1,9.816314697E0,9.819939783E0 +2.838101195E0,-1.588592529E-1,-2.181701660E-1,9.830566406E0,9.834270199E0 +2.840481566E0,-1.540679932E-1,-1.991119385E-1,9.787780762E0,9.791018065E0 +2.842861937E0,-1.779785156E-1,-1.610412598E-1,9.835327148E0,9.838255473E0 +2.845242308E0,-1.397247314E-1,-1.800842285E-1,9.821060181E0,9.823704821E0 +2.847592162E0,-1.540679932E-1,-1.753234863E-1,9.811553955E0,9.814329640E0 +2.849972533E0,-1.923217773E-1,-2.038879395E-1,9.816314697E0,9.820315280E0 +2.852352904E0,-1.540679932E-1,-1.753234863E-1,9.797286987E0,9.800066713E0 +2.854733275E0,-1.492919922E-1,-1.943664551E-1,9.773498535E0,9.776570975E0 +2.857113646E0,-1.397247314E-1,-1.800842285E-1,9.787780762E0,9.790434391E0 +2.859494017E0,-1.445159912E-1,-1.848449707E-1,9.835327148E0,9.838125464E0 +2.861874389E0,-1.445159912E-1,-1.658020020E-1,9.825820923E0,9.828282250E0 +2.864254760E0,-1.588592529E-1,-1.705627441E-1,9.806793213E0,9.809562734E0 +2.866604613E0,-1.875457764E-1,-1.515197754E-1,9.778244019E0,9.781216067E0 +2.868984984E0,-1.827697754E-1,-1.991119385E-1,9.787780762E0,9.791511762E0 +2.871365355E0,-1.779785156E-1,-1.991119385E-1,9.778244019E0,9.781890308E0 +2.873745726E0,-1.636505127E-1,-1.753234863E-1,9.754470825E0,9.757418762E0 +2.876126098E0,-1.349487305E-1,-1.658020020E-1,9.763992310E0,9.766332335E0 +2.878506469E0,-1.492919922E-1,-1.705627441E-1,9.773498535E0,9.776126706E0 +2.880886840E0,-1.588592529E-1,-1.896057129E-1,9.792526245E0,9.795649894E0 +2.883267211E0,-1.875457764E-1,-1.848449707E-1,9.787780762E0,9.791322348E0 +2.885647582E0,-1.971130371E-1,-1.991119385E-1,9.773498535E0,9.777513627E0 +2.887997435E0,-1.827697754E-1,-1.800842285E-1,9.778244019E0,9.781609847E0 +2.890377807E0,-1.779785156E-1,-1.896057129E-1,9.778244019E0,9.781701425E0 +2.892758178E0,-1.684112549E-1,-1.753234863E-1,9.821060181E0,9.824068594E0 +2.895138549E0,-1.923217773E-1,-1.991119385E-1,9.830566406E0,9.834463336E0 +2.897518920E0,-1.827697754E-1,-1.943664551E-1,9.811553955E0,9.815180799E0 +2.899899291E0,-1.732025146E-1,-1.896057129E-1,9.797286987E0,9.800652108E0 +2.902279662E0,-1.971130371E-1,-1.610412598E-1,9.778244019E0,9.781556314E0 +2.904660033E0,-1.971130371E-1,-1.658020020E-1,9.797286987E0,9.800672230E0 +2.907009887E0,-1.923217773E-1,-1.753234863E-1,9.792526245E0,9.795983680E0 +2.909390258E0,-1.684112549E-1,-1.943664551E-1,9.802047729E0,9.805420968E0 +2.911770629E0,-1.588592529E-1,-1.800842285E-1,9.783004761E0,9.785951601E0 +2.914151000E0,-1.732025146E-1,-1.991119385E-1,9.763992310E0,9.767558062E0 +2.916531371E0,-1.827697754E-1,-1.658020020E-1,9.806793213E0,9.809897462E0 +2.918911742E0,-1.875457764E-1,-1.753234863E-1,9.797286987E0,9.800650185E0 +2.921292113E0,-1.684112549E-1,-1.658020020E-1,9.806793213E0,9.809640451E0 +2.923672484E0,-1.827697754E-1,-1.943664551E-1,9.759231567E0,9.762877849E0 +2.926022338E0,-1.636505127E-1,-1.800842285E-1,9.787780762E0,9.790805077E0 +2.928402709E0,-1.732025146E-1,-1.800842285E-1,9.811553955E0,9.814734864E0 +2.930783080E0,-1.779785156E-1,-2.181701660E-1,9.787780762E0,9.791829595E0 +2.933163451E0,-1.827697754E-1,-1.943664551E-1,9.773498535E0,9.777139496E0 +2.935543822E0,-1.827697754E-1,-1.658020020E-1,9.806793213E0,9.809897462E0 +2.937924193E0,-1.875457764E-1,-1.705627441E-1,9.797286987E0,9.800566176E0 +2.940304564E0,-1.492919922E-1,-2.133941650E-1,9.749725342E0,9.753203033E0 +2.942684935E0,-1.588592529E-1,-1.896057129E-1,9.830566406E0,9.833677972E0 +2.945065307E0,-1.636505127E-1,-1.848449707E-1,9.821060181E0,9.824162673E0 +2.947415160E0,-1.588592529E-1,-1.800842285E-1,9.792526245E0,9.795470221E0 +2.949795531E0,-1.875457764E-1,-1.896057129E-1,9.792526245E0,9.796157104E0 +2.952175902E0,-1.971130371E-1,-1.562805176E-1,9.763992310E0,9.767232104E0 +2.954556273E0,-1.636505127E-1,-1.896057129E-1,9.783004761E0,9.786210399E0 +2.956936644E0,-1.875457764E-1,-1.848449707E-1,9.763992310E0,9.767542521E0 +2.959317015E0,-1.540679932E-1,-1.800842285E-1,9.792526245E0,9.795393690E0 +2.961697387E0,-1.588592529E-1,-1.896057129E-1,9.802047729E0,9.805168345E0 +2.964077758E0,-1.684112549E-1,-1.991119385E-1,9.802047729E0,9.805516183E0 +2.966427611E0,-1.588592529E-1,-1.943664551E-1,9.778244019E0,9.781465671E0 +2.968807982E0,-1.779785156E-1,-1.848449707E-1,9.830566406E0,9.833914779E0 +2.971188353E0,-1.492919922E-1,-2.229156494E-1,9.806793213E0,9.810462405E0 +2.973568724E0,-1.779785156E-1,-1.753234863E-1,9.787780762E0,9.790968640E0 +2.975949096E0,-1.923217773E-1,-2.229156494E-1,9.797286987E0,9.801709614E0 +2.978329467E0,-1.779785156E-1,-1.943664551E-1,9.806793213E0,9.810333725E0 +2.980709838E0,-1.732025146E-1,-1.753234863E-1,9.797286987E0,9.800386204E0 +2.983090209E0,-1.827697754E-1,-1.610412598E-1,9.792526245E0,9.795555591E0 +2.985440062E0,-1.588592529E-1,-1.800842285E-1,9.802047729E0,9.804988847E0 +2.987820433E0,-1.779785156E-1,-1.991119385E-1,9.778244019E0,9.781890308E0 +2.990200805E0,-1.636505127E-1,-1.705627441E-1,9.787780762E0,9.790634575E0 +2.992581176E0,-1.779785156E-1,-1.991119385E-1,9.783004761E0,9.786649277E0 +2.994961547E0,-1.732025146E-1,-1.896057129E-1,9.773498535E0,9.776871844E0 +2.997341918E0,-1.779785156E-1,-2.181701660E-1,9.773498535E0,9.777553282E0 +2.999722289E0,-1.827697754E-1,-1.848449707E-1,9.783004761E0,9.786457715E0 +3.002102660E0,-1.732025146E-1,-1.848449707E-1,9.806793213E0,9.810064215E0 +3.004483031E0,-1.971130371E-1,-1.705627441E-1,9.825820923E0,9.829277797E0 +3.006832885E0,-1.732025146E-1,-1.848449707E-1,9.749725342E0,9.753015483E0 +3.009213256E0,-1.732025146E-1,-1.800842285E-1,9.821060181E0,9.824238012E0 +3.011593627E0,-2.066650391E-1,-1.610412598E-1,9.806793213E0,9.810292444E0 +3.013973998E0,-1.875457764E-1,-1.848449707E-1,9.787780762E0,9.791322348E0 +3.016354369E0,-1.445159912E-1,-1.991119385E-1,9.792526245E0,9.795616402E0 +3.018734740E0,-1.397247314E-1,-1.848449707E-1,9.816314697E0,9.819049083E0 +3.021115111E0,-1.684112549E-1,-1.800842285E-1,9.773498535E0,9.776608118E0 +3.023495482E0,-1.588592529E-1,-1.753234863E-1,9.787780762E0,9.790639756E0 +3.025845336E0,-1.492919922E-1,-1.991119385E-1,9.792526245E0,9.795688027E0 +3.028225707E0,-1.684112549E-1,-1.800842285E-1,9.787780762E0,9.790885809E0 +3.030606078E0,-1.875457764E-1,-1.896057129E-1,9.778244019E0,9.781880179E0 +3.032986449E0,-1.732025146E-1,-1.896057129E-1,9.787780762E0,9.791149150E0 +3.035366820E0,-1.684112549E-1,-1.753234863E-1,9.821060181E0,9.824068594E0 +3.037747191E0,-1.445159912E-1,-1.943664551E-1,9.806793213E0,9.809783704E0 +3.040127562E0,-1.540679932E-1,-1.943664551E-1,9.811553955E0,9.814688292E0 +3.042507933E0,-1.779785156E-1,-1.705627441E-1,9.797286987E0,9.800387763E0 +3.044857787E0,-1.875457764E-1,-1.800842285E-1,9.806793213E0,9.810239389E0 +3.047238158E0,-1.540679932E-1,-1.610412598E-1,9.811553955E0,9.814084891E0 +3.049618529E0,-1.588592529E-1,-1.991119385E-1,9.778244019E0,9.781561118E0 +3.051998900E0,-1.588592529E-1,-1.753234863E-1,9.821060181E0,9.823909490E0 +3.054379271E0,-1.540679932E-1,-1.800842285E-1,9.802047729E0,9.804912390E0 +3.056759642E0,-1.445159912E-1,-1.896057129E-1,9.783004761E0,9.785909122E0 +3.059140014E0,-1.875457764E-1,-1.800842285E-1,9.806793213E0,9.810239389E0 +3.061520385E0,-1.827697754E-1,-1.658020020E-1,9.821060181E0,9.824159922E0 +3.063900756E0,-1.779785156E-1,-2.181701660E-1,9.792526245E0,9.796573117E0 +3.066281127E0,-1.732025146E-1,-2.038879395E-1,9.768737793E0,9.772400292E0 +3.068661498E0,-1.732025146E-1,-2.086334229E-1,9.787780762E0,9.791536103E0 +3.071041869E0,-1.779785156E-1,-1.848449707E-1,9.806793213E0,9.810149700E0 +3.073422240E0,-1.875457764E-1,-1.896057129E-1,9.768737793E0,9.772377490E0 +3.075802611E0,-1.492919922E-1,-1.658020020E-1,9.787780762E0,9.790323317E0 +3.078182982E0,-1.875457764E-1,-1.753234863E-1,9.759231567E0,9.762607875E0 +3.080563353E0,-1.540679932E-1,-1.991119385E-1,9.783004761E0,9.786243644E0 +3.082943724E0,-1.827697754E-1,-1.705627441E-1,9.787780762E0,9.790972816E0 +3.085293578E0,-1.827697754E-1,-1.658020020E-1,9.835327148E0,9.838422394E0 +3.087673949E0,-1.971130371E-1,-1.800842285E-1,9.773498535E0,9.777144649E0 +3.090054320E0,-1.492919922E-1,-1.848449707E-1,9.754470825E0,9.757364236E0 +3.092434691E0,-1.971130371E-1,-1.753234863E-1,9.787780762E0,9.791335155E0 +3.094815062E0,-1.732025146E-1,-1.705627441E-1,9.797286987E0,9.800302193E0 +3.097195433E0,-1.732025146E-1,-1.658020020E-1,9.830566406E0,9.833489985E0 +3.099575805E0,-1.827697754E-1,-1.753234863E-1,9.797286987E0,9.800559955E0 +3.101956176E0,-1.540679932E-1,-1.800842285E-1,9.821060181E0,9.823919297E0 +3.104306029E0,-1.779785156E-1,-1.705627441E-1,9.806793213E0,9.809890984E0 +3.106686400E0,-1.684112549E-1,-1.991119385E-1,9.778244019E0,9.781720912E0 +3.109066771E0,-1.827697754E-1,-1.896057129E-1,9.792526245E0,9.796066832E0 +3.111447142E0,-1.732025146E-1,-1.848449707E-1,9.802047729E0,9.805320314E0 +3.113827514E0,-1.636505127E-1,-1.943664551E-1,9.802047729E0,9.805340356E0 +3.116207885E0,-1.971130371E-1,-1.753234863E-1,9.797286987E0,9.800837933E0 +3.118588256E0,-1.779785156E-1,-1.800842285E-1,9.811553955E0,9.814820309E0 +3.120968627E0,-1.636505127E-1,-1.705627441E-1,9.802047729E0,9.804897390E0 +3.123348998E0,-1.779785156E-1,-1.943664551E-1,9.763992310E0,9.767548336E0 +3.125698851E0,-1.588592529E-1,-1.753234863E-1,9.792526245E0,9.795383854E0 +3.128079223E0,-1.588592529E-1,-1.943664551E-1,9.821060181E0,9.824267792E0 +3.130459594E0,-1.779785156E-1,-1.658020020E-1,9.806793213E0,9.809809365E0 +3.132839965E0,-1.875457764E-1,-1.943664551E-1,9.811553955E0,9.815270895E0 +3.135220336E0,-1.779785156E-1,-1.943664551E-1,9.802047729E0,9.805589955E0 +3.137600707E0,-1.540679932E-1,-1.848449707E-1,9.811553955E0,9.814504349E0 +3.139981078E0,-1.732025146E-1,-1.991119385E-1,9.816314697E0,9.819861451E0 +3.142361449E0,-1.588592529E-1,-1.658020020E-1,9.797286987E0,9.799977494E0 +3.144711303E0,-1.779785156E-1,-1.848449707E-1,9.806793213E0,9.810149700E0 +3.147091674E0,-1.875457764E-1,-1.991119385E-1,9.792526245E0,9.796345709E0 +3.149472045E0,-1.684112549E-1,-1.991119385E-1,9.773498535E0,9.776977116E0 +3.151852416E0,-1.779785156E-1,-1.610412598E-1,9.797286987E0,9.800226679E0 +3.154232787E0,-1.540679932E-1,-1.800842285E-1,9.821060181E0,9.823919297E0 +3.156613158E0,-1.492919922E-1,-1.848449707E-1,9.802047729E0,9.804927101E0 +3.158993529E0,-1.875457764E-1,-1.991119385E-1,9.792526245E0,9.796345709E0 +3.161373900E0,-1.875457764E-1,-1.896057129E-1,9.830566406E0,9.834183220E0 +3.163723754E0,-1.732025146E-1,-1.753234863E-1,9.797286987E0,9.800386204E0 +3.166104125E0,-1.684112549E-1,-2.181701660E-1,9.754470825E0,9.758363677E0 +3.168484496E0,-2.019042969E-1,-1.705627441E-1,9.802047729E0,9.805610470E0 +3.170864867E0,-1.684112549E-1,-1.800842285E-1,9.811553955E0,9.814651481E0 +3.173245238E0,-1.684112549E-1,-1.705627441E-1,9.778244019E0,9.781181426E0 +3.175625609E0,-1.349487305E-1,-1.705627441E-1,9.773498535E0,9.775918188E0 +3.178005980E0,-1.971130371E-1,-1.943664551E-1,9.754470825E0,9.758398073E0 +3.180386351E0,-1.684112549E-1,-1.800842285E-1,9.773498535E0,9.776608118E0 +3.182736205E0,-1.636505127E-1,-1.848449707E-1,9.778244019E0,9.781360092E0 +3.185116576E0,-1.732025146E-1,-1.848449707E-1,9.802047729E0,9.805320314E0 +3.187496947E0,-1.684112549E-1,-1.991119385E-1,9.797286987E0,9.800757125E0 +3.189877318E0,-1.971130371E-1,-1.896057129E-1,9.802047729E0,9.805862714E0 +3.192257689E0,-1.779785156E-1,-1.943664551E-1,9.806793213E0,9.810333725E0 +3.194638060E0,-1.875457764E-1,-1.896057129E-1,9.787780762E0,9.791413380E0 +3.197018432E0,-1.779785156E-1,-1.848449707E-1,9.816314697E0,9.819667930E0 +3.199398803E0,-1.492919922E-1,-2.133941650E-1,9.802047729E0,9.805506864E0 +3.201779174E0,-1.779785156E-1,-1.943664551E-1,9.768737793E0,9.772292092E0 +3.204129027E0,-1.684112549E-1,-1.896057129E-1,9.816314697E0,9.819589956E0 +3.206509398E0,-1.875457764E-1,-2.038879395E-1,9.797286987E0,9.801202784E0 +3.208889769E0,-1.684112549E-1,-1.991119385E-1,9.773498535E0,9.776977116E0 +3.211270140E0,-1.779785156E-1,-1.896057129E-1,9.802047729E0,9.805496743E0 +3.213650512E0,-1.636505127E-1,-1.800842285E-1,9.816314697E0,9.819330224E0 +3.216030883E0,-1.923217773E-1,-1.991119385E-1,9.787780762E0,9.791694719E0 +3.218411254E0,-1.971130371E-1,-1.658020020E-1,9.821060181E0,9.824437232E0 +3.220791625E0,-1.636505127E-1,-1.991119385E-1,9.749725342E0,9.753131358E0 +3.223171996E0,-1.636505127E-1,-1.800842285E-1,9.783004761E0,9.786030552E0 +3.225521849E0,-1.779785156E-1,-1.991119385E-1,9.802047729E0,9.805685168E0 +3.227902221E0,-1.732025146E-1,-1.896057129E-1,9.773498535E0,9.776871844E0 +3.230282592E0,-1.923217773E-1,-1.753234863E-1,9.768737793E0,9.772203644E0 +3.232662963E0,-1.636505127E-1,-1.753234863E-1,9.768737793E0,9.771681426E0 +3.235043334E0,-1.827697754E-1,-1.991119385E-1,9.806793213E0,9.810516983E0 +3.237423705E0,-1.971130371E-1,-1.896057129E-1,9.783004761E0,9.786827168E0 +3.239804076E0,-1.588592529E-1,-1.991119385E-1,9.806793213E0,9.810100659E0 +3.242184447E0,-1.827697754E-1,-1.705627441E-1,9.816314697E0,9.819497476E0 +3.244534301E0,-1.492919922E-1,-1.753234863E-1,9.844833374E0,9.847526115E0 +3.246914672E0,-1.732025146E-1,-1.896057129E-1,9.821060181E0,9.824417159E0 +3.249295043E0,-1.732025146E-1,-1.800842285E-1,9.792526245E0,9.795713333E0 +3.251675414E0,-1.636505127E-1,-1.753234863E-1,9.806793213E0,9.809725426E0 +3.254055785E0,-1.540679932E-1,-1.705627441E-1,9.811553955E0,9.814245748E0 +3.256436156E0,-1.779785156E-1,-1.896057129E-1,9.806793213E0,9.810240558E0 +3.258816527E0,-1.732025146E-1,-1.800842285E-1,9.783004761E0,9.786194949E0 +3.261196898E0,-1.827697754E-1,-1.848449707E-1,9.768737793E0,9.772195788E0 +3.263546752E0,-1.732025146E-1,-1.943664551E-1,9.778244019E0,9.781709131E0 +3.265927123E0,-1.684112549E-1,-2.133941650E-1,9.778244019E0,9.782022056E0 +3.268307494E0,-1.732025146E-1,-1.848449707E-1,9.816314697E0,9.819582527E0 +3.270687865E0,-1.779785156E-1,-2.086334229E-1,9.773498535E0,9.777345134E0 +3.273068236E0,-1.971130371E-1,-1.896057129E-1,9.763992310E0,9.767822157E0 +3.275448607E0,-1.588592529E-1,-2.086334229E-1,9.802047729E0,9.805554745E0 +3.277828978E0,-1.397247314E-1,-1.753234863E-1,9.821060181E0,9.823618702E0 +3.280209349E0,-1.540679932E-1,-1.896057129E-1,9.802047729E0,9.805091890E0 +3.282559203E0,-1.588592529E-1,-1.848449707E-1,9.787780762E0,9.790814888E0 +3.284939574E0,-1.588592529E-1,-1.991119385E-1,9.835327148E0,9.838625003E0 +3.287319945E0,-1.779785156E-1,-1.848449707E-1,9.797286987E0,9.800646730E0 +3.289700316E0,-1.684112549E-1,-2.181701660E-1,9.811553955E0,9.815424167E0 +3.292080687E0,-1.732025146E-1,-2.038879395E-1,9.802047729E0,9.805697787E0 +3.294461058E0,-1.971130371E-1,-1.848449707E-1,9.797286987E0,9.801012883E0 +3.296841430E0,-2.019042969E-1,-1.848449707E-1,9.783004761E0,9.786833766E0 +3.299221801E0,-1.492919922E-1,-1.705627441E-1,9.787780762E0,9.790405098E0 +3.301602172E0,-1.827697754E-1,-1.705627441E-1,9.787780762E0,9.790972816E0 +3.303952025E0,-1.875457764E-1,-1.800842285E-1,9.787780762E0,9.791233629E0 +3.306332396E0,-2.066650391E-1,-2.229156494E-1,9.773498535E0,9.778224555E0 +3.308712767E0,-1.636505127E-1,-1.896057129E-1,9.830566406E0,9.833756540E0 +3.311093139E0,-1.684112549E-1,-2.038879395E-1,9.821060181E0,9.824619876E0 +3.313473510E0,-1.636505127E-1,-1.896057129E-1,9.802047729E0,9.805247142E0 +3.315853881E0,-1.349487305E-1,-1.848449707E-1,9.778244019E0,9.780921987E0 +3.318234252E0,-1.732025146E-1,-1.943664551E-1,9.806793213E0,9.810248241E0 +3.320614623E0,-1.445159912E-1,-2.038879395E-1,9.816314697E0,9.819495374E0 +3.322964476E0,-2.162475586E-1,-1.753234863E-1,9.802047729E0,9.806000256E0 +3.325344848E0,-1.732025146E-1,-1.705627441E-1,9.806793213E0,9.809805497E0 +3.327725219E0,-1.636505127E-1,-1.705627441E-1,9.816314697E0,9.819160217E0 +3.330105590E0,-1.732025146E-1,-1.705627441E-1,9.811553955E0,9.814564778E0 +3.332485961E0,-1.875457764E-1,-1.848449707E-1,9.802047729E0,9.805584163E0 +3.334866332E0,-1.779785156E-1,-1.848449707E-1,9.787780762E0,9.791143766E0 +3.337246703E0,-1.827697754E-1,-2.086334229E-1,9.811553955E0,9.815473687E0 +3.339627074E0,-1.875457764E-1,-1.705627441E-1,9.778244019E0,9.781529592E0 +3.341976928E0,-1.636505127E-1,-2.086334229E-1,9.778244019E0,9.781838553E0 +3.344357299E0,-2.210235596E-1,-1.848449707E-1,9.792526245E0,9.796764228E0 +3.346737670E0,-1.827697754E-1,-1.848449707E-1,9.802047729E0,9.805493978E0 +3.349118041E0,-1.540679932E-1,-1.991119385E-1,9.797286987E0,9.800521151E0 +3.351498412E0,-1.827697754E-1,-1.705627441E-1,9.802047729E0,9.805235139E0 +3.353878783E0,-1.875457764E-1,-1.753234863E-1,9.806793213E0,9.810153152E0 +3.356259154E0,-1.779785156E-1,-1.753234863E-1,9.778244019E0,9.781435005E0 +3.358639525E0,-1.827697754E-1,-1.943664551E-1,9.797286987E0,9.800919111E0 +3.361019896E0,-1.684112549E-1,-2.038879395E-1,9.811553955E0,9.815117098E0 +3.363400267E0,-1.732025146E-1,-1.991119385E-1,9.811553955E0,9.815102429E0 +3.365780639E0,-2.019042969E-1,-1.896057129E-1,9.763992310E0,9.767920019E0 +3.368161010E0,-1.684112549E-1,-1.991119385E-1,9.806793213E0,9.810259988E0 +3.370541381E0,-1.732025146E-1,-2.181701660E-1,9.797286987E0,9.801246331E0 +3.372921752E0,-1.875457764E-1,-1.848449707E-1,9.778244019E0,9.781789058E0 +3.375302123E0,-1.684112549E-1,-1.705627441E-1,9.778244019E0,9.781181426E0 +3.377682494E0,-2.114562988E-1,-1.991119385E-1,9.792526245E0,9.796832631E0 +3.380062865E0,-1.779785156E-1,-1.896057129E-1,9.787780762E0,9.791234800E0 +3.382412719E0,-1.923217773E-1,-1.943664551E-1,9.787780762E0,9.791599370E0 +3.384793090E0,-1.684112549E-1,-1.943664551E-1,9.778244019E0,9.781625466E0 +3.387173461E0,-1.875457764E-1,-1.848449707E-1,9.792526245E0,9.796066116E0 +3.389553832E0,-1.492919922E-1,-1.753234863E-1,9.749725342E0,9.752444343E0 +3.391934203E0,-1.732025146E-1,-1.896057129E-1,9.778244019E0,9.781615691E0 +3.394314574E0,-1.684112549E-1,-1.753234863E-1,9.825820923E0,9.828827879E0 +3.396694945E0,-1.492919922E-1,-1.943664551E-1,9.787780762E0,9.790848720E0 +3.399075316E0,-1.588592529E-1,-1.991119385E-1,9.783004761E0,9.786320247E0 +3.401455687E0,-1.445159912E-1,-1.896057129E-1,9.840087891E0,9.842975409E0 +3.403805541E0,-1.540679932E-1,-2.086334229E-1,9.825820923E0,9.829243189E0 +3.406185912E0,-1.684112549E-1,-1.800842285E-1,9.811553955E0,9.814651481E0 +3.408566283E0,-1.540679932E-1,-1.800842285E-1,9.783004761E0,9.785874995E0 +3.410946654E0,-1.732025146E-1,-1.658020020E-1,9.787780762E0,9.790717116E0 +3.413327025E0,-1.779785156E-1,-2.038879395E-1,9.763992310E0,9.767742445E0 +3.415707396E0,-1.923217773E-1,-1.943664551E-1,9.768737793E0,9.772563842E0 +3.418087767E0,-1.397247314E-1,-1.658020020E-1,9.792526245E0,9.794926420E0 +3.420468139E0,-1.779785156E-1,-1.562805176E-1,9.773498535E0,9.776368118E0 +3.422817992E0,-1.827697754E-1,-1.800842285E-1,9.778244019E0,9.781609847E0 +3.425198363E0,-1.684112549E-1,-2.276763916E-1,9.802047729E0,9.806137801E0 +3.427578734E0,-1.732025146E-1,-1.800842285E-1,9.792526245E0,9.795713333E0 +3.429959105E0,-1.875457764E-1,-1.991119385E-1,9.792526245E0,9.796345709E0 +3.432339476E0,-1.684112549E-1,-2.133941650E-1,9.802047729E0,9.805816596E0 +3.434719848E0,-2.019042969E-1,-1.896057129E-1,9.797286987E0,9.801201354E0 +3.437100219E0,-1.923217773E-1,-1.848449707E-1,9.802047729E0,9.805676673E0 +3.439480590E0,-1.923217773E-1,-1.753234863E-1,9.778244019E0,9.781706501E0 +3.441830443E0,-1.923217773E-1,-2.038879395E-1,9.821060181E0,9.825058831E0 +3.444210814E0,-1.827697754E-1,-2.276763916E-1,9.797286987E0,9.801636274E0 +3.446591185E0,-1.827697754E-1,-1.943664551E-1,9.821060181E0,9.824683516E0 +3.448971557E0,-1.588592529E-1,-2.086334229E-1,9.811553955E0,9.815057574E0 +3.451351928E0,-1.875457764E-1,-1.800842285E-1,9.821060181E0,9.824501352E0 +3.453732299E0,-2.066650391E-1,-1.705627441E-1,9.806793213E0,9.810453364E0 +3.456112670E0,-1.875457764E-1,-1.610412598E-1,9.816314697E0,9.819426762E0 +3.458493041E0,-1.349487305E-1,-1.610412598E-1,9.787780762E0,9.790035633E0 +3.460873412E0,-1.923217773E-1,-1.991119385E-1,9.802047729E0,9.805955992E0 +3.463223265E0,-1.923217773E-1,-2.086334229E-1,9.811553955E0,9.815656197E0 +3.465603637E0,-1.732025146E-1,-2.038879395E-1,9.806793213E0,9.810441505E0 +3.467984008E0,-1.923217773E-1,-1.658020020E-1,9.811553955E0,9.814839224E0 +3.470364379E0,-1.779785156E-1,-1.753234863E-1,9.816314697E0,9.819493312E0 +3.472744750E0,-1.779785156E-1,-1.848449707E-1,9.768737793E0,9.772107351E0 +3.475125121E0,-1.636505127E-1,-1.800842285E-1,9.797286987E0,9.800308369E0 +3.477505492E0,-1.779785156E-1,-1.705627441E-1,9.802047729E0,9.805147000E0 +3.479885863E0,-1.732025146E-1,-2.038879395E-1,9.792526245E0,9.796179851E0 +3.482235717E0,-1.588592529E-1,-1.800842285E-1,9.783004761E0,9.785951601E0 +3.484616088E0,-1.732025146E-1,-1.991119385E-1,9.802047729E0,9.805599643E0 +3.486996459E0,-1.636505127E-1,-2.038879395E-1,9.783004761E0,9.786497531E0 +3.489376830E0,-1.540679932E-1,-2.038879395E-1,9.768737793E0,9.772079886E0 +3.491757201E0,-1.827697754E-1,-1.848449707E-1,9.763992310E0,9.767451985E0 +3.494137572E0,-1.779785156E-1,-1.753234863E-1,9.797286987E0,9.800471774E0 +3.496517943E0,-1.827697754E-1,-1.800842285E-1,9.768737793E0,9.772106896E0 +3.498898314E0,-1.684112549E-1,-1.800842285E-1,9.778244019E0,9.781352093E0 +3.501248168E0,-1.732025146E-1,-1.991119385E-1,9.816314697E0,9.819861451E0 +3.503628539E0,-1.971130371E-1,-1.562805176E-1,9.797286987E0,9.800515775E0 +3.506008910E0,-1.492919922E-1,-1.800842285E-1,9.783004761E0,9.785800968E0 +3.508389281E0,-1.684112549E-1,-1.943664551E-1,9.783004761E0,9.786384563E0 +3.510769652E0,-2.066650391E-1,-1.705627441E-1,9.816314697E0,9.819971300E0 +3.513150023E0,-1.636505127E-1,-1.991119385E-1,9.792526245E0,9.795917380E0 +3.515530394E0,-1.827697754E-1,-1.896057129E-1,9.778244019E0,9.781789775E0 +3.517910765E0,-1.875457764E-1,-1.848449707E-1,9.787780762E0,9.791322348E0 +3.520291137E0,-1.588592529E-1,-1.610412598E-1,9.773498535E0,9.776116006E0 +3.522640990E0,-1.540679932E-1,-1.943664551E-1,9.816314697E0,9.819447515E0 +3.525021361E0,-1.684112549E-1,-2.038879395E-1,9.792526245E0,9.796096309E0 +3.527401732E0,-1.684112549E-1,-1.800842285E-1,9.797286987E0,9.800389022E0 +3.529782103E0,-1.875457764E-1,-1.753234863E-1,9.802047729E0,9.805409295E0 +3.532162474E0,-1.684112549E-1,-1.991119385E-1,9.759231567E0,9.762715232E0 +3.534542846E0,-1.492919922E-1,-1.753234863E-1,9.792526245E0,9.795233366E0 +3.536923217E0,-1.636505127E-1,-2.038879395E-1,9.821060181E0,9.824539422E0 +3.539303588E0,-1.540679932E-1,-1.800842285E-1,9.783004761E0,9.785874995E0 +3.541653441E0,-1.636505127E-1,-1.753234863E-1,9.783004761E0,9.785944102E0 +3.544033812E0,-1.684112549E-1,-1.943664551E-1,9.806793213E0,9.810164820E0 +3.546414183E0,-1.492919922E-1,-1.848449707E-1,9.821060181E0,9.823933980E0 +3.548794555E0,-1.827697754E-1,-2.038879395E-1,9.816314697E0,9.820132856E0 +3.551174926E0,-1.827697754E-1,-1.800842285E-1,9.816314697E0,9.819667477E0 +3.553555297E0,-1.779785156E-1,-1.848449707E-1,9.797286987E0,9.800646730E0 +3.555935668E0,-1.636505127E-1,-1.515197754E-1,9.773498535E0,9.776042827E0 +3.558316039E0,-1.827697754E-1,-1.991119385E-1,9.802047729E0,9.805773302E0 +3.560665892E0,-1.875457764E-1,-1.705627441E-1,9.825820923E0,9.829090593E0 +3.563046264E0,-1.779785156E-1,-1.705627441E-1,9.825820923E0,9.828912697E0 +3.565426635E0,-1.779785156E-1,-1.896057129E-1,9.744964600E0,9.748433809E0 +3.567807006E0,-1.684112549E-1,-1.705627441E-1,9.787780762E0,9.790715308E0 +3.570187377E0,-1.732025146E-1,-1.658020020E-1,9.763992310E0,9.766935816E0 +3.572567748E0,-1.779785156E-1,-1.991119385E-1,9.792526245E0,9.796167219E0 +3.574948119E0,-1.923217773E-1,-1.943664551E-1,9.816314697E0,9.820122210E0 +3.577328490E0,-1.875457764E-1,-1.800842285E-1,9.811553955E0,9.814998460E0 +3.579708861E0,-2.066650391E-1,-1.753234863E-1,9.806793213E0,9.810537288E0 +3.582058715E0,-2.162475586E-1,-1.800842285E-1,9.759231567E0,9.763288079E0 +3.584439086E0,-1.636505127E-1,-1.943664551E-1,9.792526245E0,9.795822072E0 +3.586819457E0,-1.779785156E-1,-1.467590332E-1,9.816314697E0,9.819024840E0 +3.589199828E0,-1.588592529E-1,-1.991119385E-1,9.811553955E0,9.814859797E0 +3.591580199E0,-1.827697754E-1,-2.038879395E-1,9.754470825E0,9.758313182E0 +3.593960570E0,-1.684112549E-1,-1.991119385E-1,9.792526245E0,9.795998069E0 +3.596340941E0,-1.588592529E-1,-1.943664551E-1,9.816314697E0,9.819523859E0 +3.598721312E0,-1.875457764E-1,-1.705627441E-1,9.825820923E0,9.829090593E0 +3.601071166E0,-1.684112549E-1,-1.800842285E-1,9.811553955E0,9.814651481E0 +3.603451537E0,-1.779785156E-1,-1.848449707E-1,9.802047729E0,9.805405841E0 +3.605831908E0,-1.779785156E-1,-1.943664551E-1,9.763992310E0,9.767548336E0 +3.608212279E0,-1.875457764E-1,-2.038879395E-1,9.787780762E0,9.791700360E0 +3.610592650E0,-1.636505127E-1,-1.800842285E-1,9.797286987E0,9.800308369E0 +3.612973021E0,-1.875457764E-1,-1.848449707E-1,9.787780762E0,9.791322348E0 +3.615353392E0,-1.588592529E-1,-1.896057129E-1,9.754470825E0,9.757606657E0 +3.617733764E0,-1.397247314E-1,-2.133941650E-1,9.759231567E0,9.762564256E0 +3.620083617E0,-1.732025146E-1,-1.943664551E-1,9.806793213E0,9.810248241E0 +3.622463988E0,-1.732025146E-1,-1.896057129E-1,9.768737793E0,9.772112745E0 +3.624844359E0,-2.019042969E-1,-1.896057129E-1,9.773498535E0,9.777422426E0 +3.627224730E0,-1.684112549E-1,-1.800842285E-1,9.778244019E0,9.781352093E0 +3.629605101E0,-1.588592529E-1,-2.229156494E-1,9.768737793E0,9.772572114E0 +3.631985473E0,-1.684112549E-1,-1.753234863E-1,9.802047729E0,9.805061977E0 +3.634365844E0,-1.636505127E-1,-1.848449707E-1,9.806793213E0,9.809900217E0 +3.636746215E0,-1.827697754E-1,-1.991119385E-1,9.835327148E0,9.839040119E0 +3.639126586E0,-1.540679932E-1,-1.848449707E-1,9.792526245E0,9.795482371E0 +3.641506957E0,-1.779785156E-1,-1.705627441E-1,9.773498535E0,9.776606856E0 +3.643887328E0,-1.875457764E-1,-1.800842285E-1,9.778244019E0,9.781700253E0 +3.646267699E0,-1.540679932E-1,-1.943664551E-1,9.811553955E0,9.814688292E0 +3.648648070E0,-1.588592529E-1,-1.848449707E-1,9.802047729E0,9.805077441E0 +3.651028441E0,-1.492919922E-1,-1.991119385E-1,9.792526245E0,9.795688027E0 +3.653408812E0,-1.636505127E-1,-1.800842285E-1,9.763992310E0,9.767023991E0 +3.655789183E0,-1.684112549E-1,-1.848449707E-1,9.792526245E0,9.795718467E0 +3.658169555E0,-1.875457764E-1,-1.705627441E-1,9.811553955E0,9.814828378E0 +3.660519408E0,-1.923217773E-1,-1.800842285E-1,9.821060181E0,9.824593685E0 +3.662899779E0,-1.540679932E-1,-2.086334229E-1,9.792526245E0,9.795960142E0 +3.665280150E0,-1.779785156E-1,-1.991119385E-1,9.783004761E0,9.786649277E0 +3.667660521E0,-1.923217773E-1,-1.800842285E-1,9.787780762E0,9.791326276E0 +3.670040892E0,-1.875457764E-1,-2.038879395E-1,9.811553955E0,9.815464061E0 +3.672421264E0,-1.779785156E-1,-1.943664551E-1,9.797286987E0,9.800830933E0 +3.674801635E0,-1.923217773E-1,-2.038879395E-1,9.811553955E0,9.815556478E0 +3.677182006E0,-1.971130371E-1,-1.753234863E-1,9.792526245E0,9.796078916E0 +3.679531859E0,-1.923217773E-1,-1.610412598E-1,9.783004761E0,9.786220113E0 +3.681912230E0,-1.732025146E-1,-2.038879395E-1,9.792526245E0,9.796179851E0 +3.684292601E0,-1.827697754E-1,-2.181701660E-1,9.783004761E0,9.787143871E0 +3.686672973E0,-1.684112549E-1,-1.610412598E-1,9.811553955E0,9.814320539E0 +3.689053344E0,-1.827697754E-1,-1.848449707E-1,9.797286987E0,9.800734909E0 +3.691433715E0,-1.732025146E-1,-2.276763916E-1,9.816314697E0,9.820482162E0 +3.693814086E0,-1.540679932E-1,-2.038879395E-1,9.821060181E0,9.824384475E0 +3.696194457E0,-1.779785156E-1,-2.181701660E-1,9.802047729E0,9.806090672E0 +3.698544310E0,-1.923217773E-1,-2.038879395E-1,9.773498535E0,9.777516636E0 +3.700924682E0,-1.875457764E-1,-1.753234863E-1,9.806793213E0,9.810153152E0 +3.703305053E0,-1.588592529E-1,-1.705627441E-1,9.811553955E0,9.814322133E0 +3.705685424E0,-1.588592529E-1,-1.800842285E-1,9.792526245E0,9.795470221E0 +3.708065795E0,-1.923217773E-1,-1.800842285E-1,9.783004761E0,9.786552005E0 +3.710446166E0,-1.588592529E-1,-1.705627441E-1,9.825820923E0,9.828585082E0 +3.712826537E0,-1.636505127E-1,-1.705627441E-1,9.816314697E0,9.819160217E0 +3.715206908E0,-1.588592529E-1,-2.038879395E-1,9.802047729E0,9.805454923E0 +3.717587279E0,-1.875457764E-1,-1.800842285E-1,9.821060181E0,9.824501352E0 +3.719937133E0,-1.732025146E-1,-1.943664551E-1,9.811553955E0,9.815007307E0 +3.722317504E0,-1.445159912E-1,-1.848449707E-1,9.802047729E0,9.804855543E0 +3.724697875E0,-1.875457764E-1,-1.848449707E-1,9.778244019E0,9.781789058E0 +3.727078246E0,-1.636505127E-1,-1.753234863E-1,9.811553955E0,9.814484746E0 +3.729458617E0,-1.684112549E-1,-1.753234863E-1,9.797286987E0,9.800302699E0 +3.731838988E0,-1.588592529E-1,-2.086334229E-1,9.783004761E0,9.786518600E0 +3.734219359E0,-1.875457764E-1,-1.991119385E-1,9.821060181E0,9.824868552E0 +3.736599730E0,-1.684112549E-1,-1.896057129E-1,9.806793213E0,9.810071651E0 +3.738949584E0,-1.875457764E-1,-1.943664551E-1,9.763992310E0,9.767727349E0 +3.741329955E0,-1.875457764E-1,-1.991119385E-1,9.792526245E0,9.796345709E0 +3.743710326E0,-1.588592529E-1,-1.562805176E-1,9.816314697E0,9.818843827E0 +3.746090697E0,-1.540679932E-1,-1.848449707E-1,9.763992310E0,9.766957071E0 +3.748471068E0,-1.923217773E-1,-2.181701660E-1,9.768737793E0,9.773066251E0 +3.750851439E0,-1.588592529E-1,-1.943664551E-1,9.797286987E0,9.800502380E0 +3.753231810E0,-1.684112549E-1,-1.467590332E-1,9.806793213E0,9.809337067E0 +3.755612182E0,-1.540679932E-1,-1.848449707E-1,9.787780762E0,9.790738320E0 +3.757992553E0,-1.875457764E-1,-1.991119385E-1,9.806793213E0,9.810607122E0 +3.760342406E0,-1.636505127E-1,-2.086334229E-1,9.811553955E0,9.815136291E0 +3.762722777E0,-1.779785156E-1,-1.896057129E-1,9.792526245E0,9.795978611E0 +3.765103148E0,-1.684112549E-1,-1.658020020E-1,9.802047729E0,9.804896345E0 +3.767483519E0,-1.732025146E-1,-1.658020020E-1,9.802047729E0,9.804979812E0 +3.769863890E0,-1.779785156E-1,-1.705627441E-1,9.802047729E0,9.805147000E0 +3.772244262E0,-1.779785156E-1,-2.038879395E-1,9.778244019E0,9.781988690E0 +3.774624633E0,-1.875457764E-1,-1.896057129E-1,9.787780762E0,9.791413380E0 +3.777005004E0,-1.732025146E-1,-1.991119385E-1,9.840087891E0,9.843626078E0 +3.779354857E0,-1.636505127E-1,-1.658020020E-1,9.825820923E0,9.828582227E0 +3.781735228E0,-1.684112549E-1,-1.943664551E-1,9.811553955E0,9.814923927E0 +3.784115599E0,-1.827697754E-1,-2.086334229E-1,9.797286987E0,9.801212425E0 +3.786495971E0,-1.875457764E-1,-1.800842285E-1,9.792526245E0,9.795977440E0 +3.788876342E0,-1.732025146E-1,-1.658020020E-1,9.797286987E0,9.800220494E0 +3.791256713E0,-1.779785156E-1,-2.086334229E-1,9.783004761E0,9.786847624E0 +3.793637084E0,-1.779785156E-1,-1.991119385E-1,9.806793213E0,9.810428892E0 +3.796017455E0,-1.779785156E-1,-1.943664551E-1,9.783004761E0,9.786553879E0 +3.798367308E0,-1.779785156E-1,-2.038879395E-1,9.787780762E0,9.791521786E0 +3.800747680E0,-1.923217773E-1,-2.038879395E-1,9.802047729E0,9.806054132E0 +3.803128051E0,-1.875457764E-1,-2.038879395E-1,9.783004761E0,9.786926272E0 +3.805508422E0,-1.827697754E-1,-1.800842285E-1,9.811553955E0,9.814908361E0 +3.807888793E0,-2.162475586E-1,-1.943664551E-1,9.787780762E0,9.792098527E0 +3.810269164E0,-1.636505127E-1,-1.896057129E-1,9.797286987E0,9.800487954E0 +3.812649535E0,-1.779785156E-1,-1.848449707E-1,9.787780762E0,9.791143766E0 +3.815029906E0,-1.923217773E-1,-2.038879395E-1,9.792526245E0,9.796536542E0 +3.817410277E0,-1.875457764E-1,-1.943664551E-1,9.811553955E0,9.815270895E0 +3.819760131E0,-1.971130371E-1,-2.133941650E-1,9.811553955E0,9.815853587E0 +3.822140502E0,-1.971130371E-1,-1.753234863E-1,9.792526245E0,9.796078916E0 +3.824520873E0,-1.779785156E-1,-2.038879395E-1,9.783004761E0,9.786747611E0 +3.826901244E0,-1.540679932E-1,-1.991119385E-1,9.816314697E0,9.819542594E0 +3.829281615E0,-1.732025146E-1,-1.800842285E-1,9.773498535E0,9.776691826E0 +3.831661986E0,-1.588592529E-1,-1.610412598E-1,9.759231567E0,9.761852864E0 +3.834042357E0,-1.779785156E-1,-1.896057129E-1,9.768737793E0,9.772198563E0 +3.836422728E0,-1.684112549E-1,-1.848449707E-1,9.797286987E0,9.800477658E0 +3.838772582E0,-1.779785156E-1,-1.753234863E-1,9.773498535E0,9.776691071E0 +3.841152953E0,-1.636505127E-1,-1.991119385E-1,9.783004761E0,9.786399195E0 +3.843533324E0,-1.636505127E-1,-1.800842285E-1,9.797286987E0,9.800308369E0 +3.845913695E0,-1.397247314E-1,-1.943664551E-1,9.797286987E0,9.800210897E0 +3.848294066E0,-1.540679932E-1,-1.943664551E-1,9.787780762E0,9.790922710E0 +3.850674437E0,-1.636505127E-1,-2.038879395E-1,9.792526245E0,9.796015621E0 +3.853054808E0,-1.540679932E-1,-1.610412598E-1,9.830566406E0,9.833092449E0 +3.855435180E0,-1.588592529E-1,-1.848449707E-1,9.792526245E0,9.795558901E0 +3.857785033E0,-1.588592529E-1,-2.133941650E-1,9.773498535E0,9.777118540E0 +3.860165404E0,-1.492919922E-1,-1.800842285E-1,9.792526245E0,9.795319734E0 +3.862545775E0,-1.445159912E-1,-1.896057129E-1,9.787780762E0,9.790683706E0 +3.864926146E0,-1.301574707E-1,-1.753234863E-1,9.797286987E0,9.799719976E0 +3.867306517E0,-1.397247314E-1,-1.753234863E-1,9.792526245E0,9.795092219E0 +3.869686889E0,-1.779785156E-1,-1.610412598E-1,9.783004761E0,9.785948742E0 +3.872067260E0,-1.397247314E-1,-1.705627441E-1,9.773498535E0,9.775985284E0 +3.874447631E0,-1.636505127E-1,-2.086334229E-1,9.778244019E0,9.781838553E0 +3.876828002E0,-1.540679932E-1,-1.800842285E-1,9.787780762E0,9.790649596E0 +3.879177855E0,-1.397247314E-1,-2.086334229E-1,9.797286987E0,9.800504233E0 +3.881558226E0,-1.588592529E-1,-1.848449707E-1,9.797286987E0,9.800318170E0 +3.883938598E0,-1.732025146E-1,-1.991119385E-1,9.811553955E0,9.815102429E0 +3.886318969E0,-1.588592529E-1,-1.753234863E-1,9.816314697E0,9.819165383E0 +3.888699340E0,-1.636505127E-1,-1.848449707E-1,9.802047729E0,9.805156238E0 +3.891079711E0,-1.732025146E-1,-1.658020020E-1,9.792526245E0,9.795461177E0 +3.893460082E0,-1.779785156E-1,-1.515197754E-1,9.816314697E0,9.819097149E0 +3.895840453E0,-1.588592529E-1,-1.515197754E-1,9.802047729E0,9.804505811E0 +3.898190307E0,-1.684112549E-1,-1.705627441E-1,9.811553955E0,9.814481393E0 +3.900570678E0,-1.732025146E-1,-1.800842285E-1,9.825820923E0,9.828997215E0 +3.902951049E0,-1.588592529E-1,-1.753234863E-1,9.811553955E0,9.814406024E0 +3.905331420E0,-1.588592529E-1,-1.705627441E-1,9.806793213E0,9.809562734E0 +3.907711791E0,-1.875457764E-1,-2.038879395E-1,9.754470825E0,9.758403803E0 +3.910092162E0,-1.636505127E-1,-1.753234863E-1,9.811553955E0,9.814484746E0 +3.912472533E0,-1.923217773E-1,-2.229156494E-1,9.783004761E0,9.787433841E0 +3.914852904E0,-1.827697754E-1,-1.848449707E-1,9.778244019E0,9.781698653E0 +3.917202758E0,-1.827697754E-1,-1.848449707E-1,9.792526245E0,9.795975843E0 +3.919583129E0,-1.923217773E-1,-1.848449707E-1,9.821060181E0,9.824682102E0 +3.921963500E0,-1.923217773E-1,-1.991119385E-1,9.816314697E0,9.820217282E0 +3.924343871E0,-1.875457764E-1,-2.371978760E-1,9.768737793E0,9.773416717E0 +3.926724242E0,-1.732025146E-1,-1.753234863E-1,9.797286987E0,9.800386204E0 +3.929104613E0,-1.827697754E-1,-2.086334229E-1,9.787780762E0,9.791710011E0 +3.931484984E0,-2.019042969E-1,-1.658020020E-1,9.773498535E0,9.776989785E0 +3.933865355E0,-1.923217773E-1,-2.086334229E-1,9.773498535E0,9.777616744E0 +3.936245726E0,-1.923217773E-1,-1.705627441E-1,9.811553955E0,9.814920801E0 +3.938626098E0,-1.779785156E-1,-1.753234863E-1,9.806793213E0,9.809974913E0 +3.941006469E0,-1.684112549E-1,-2.229156494E-1,9.778244019E0,9.782234398E0 +3.943386840E0,-2.114562988E-1,-1.991119385E-1,9.797286987E0,9.801591281E0 +3.945767211E0,-1.732025146E-1,-1.943664551E-1,9.773498535E0,9.776965329E0 +3.948147582E0,-1.923217773E-1,-2.324523926E-1,9.759231567E0,9.763893822E0 +3.950527953E0,-1.684112549E-1,-1.753234863E-1,9.792526245E0,9.795543422E0 +3.952908324E0,-1.779785156E-1,-2.181701660E-1,9.811553955E0,9.815592982E0 +3.955258178E0,-1.684112549E-1,-2.038879395E-1,9.787780762E0,9.791352556E0 +3.957638549E0,-1.875457764E-1,-1.896057129E-1,9.792526245E0,9.796157104E0 +3.960018920E0,-1.971130371E-1,-1.705627441E-1,9.787780762E0,9.791251066E0 +3.962399291E0,-1.923217773E-1,-1.848449707E-1,9.778244019E0,9.781881793E0 +3.964779662E0,-1.827697754E-1,-2.086334229E-1,9.783004761E0,9.786935927E0 +3.967160033E0,-1.875457764E-1,-1.896057129E-1,9.768737793E0,9.772377490E0 +3.969540404E0,-1.445159912E-1,-1.943664551E-1,9.811553955E0,9.814542995E0 +3.971920775E0,-1.492919922E-1,-1.991119385E-1,9.802047729E0,9.805206441E0 +3.974301146E0,-1.779785156E-1,-1.753234863E-1,9.816314697E0,9.819493312E0 +3.976651000E0,-1.588592529E-1,-1.943664551E-1,9.787780762E0,9.790999276E0 +3.979031371E0,-1.971130371E-1,-2.038879395E-1,9.797286987E0,9.801390521E0 +3.981411742E0,-1.779785156E-1,-1.800842285E-1,9.787780762E0,9.791055046E0 +3.983792113E0,-1.779785156E-1,-1.800842285E-1,9.830566406E0,9.833826445E0 +3.986172484E0,-1.492919922E-1,-1.991119385E-1,9.802047729E0,9.805206441E0 +3.988552855E0,-1.684112549E-1,-1.705627441E-1,9.797286987E0,9.800218687E0 +3.990933226E0,-1.779785156E-1,-1.658020020E-1,9.778244019E0,9.781268974E0 +3.993313598E0,-1.349487305E-1,-1.800842285E-1,9.792526245E0,9.795111625E0 +3.995693969E0,-1.492919922E-1,-1.848449707E-1,9.792526245E0,9.795408415E0 +3.998043822E0,-1.397247314E-1,-1.467590332E-1,9.797286987E0,9.799382303E0 +4.000424193E0,-1.636505127E-1,-1.753234863E-1,9.787780762E0,9.790718669E0 +4.002804564E0,-1.779785156E-1,-1.753234863E-1,9.816314697E0,9.819493312E0 +4.005184935E0,-1.923217773E-1,-1.896057129E-1,9.787780762E0,9.791506025E0 +4.007565307E0,-1.540679932E-1,-1.943664551E-1,9.806793213E0,9.809929071E0 +4.009945678E0,-1.732025146E-1,-1.896057129E-1,9.787780762E0,9.791149150E0 +4.012326049E0,-1.732025146E-1,-1.753234863E-1,9.768737793E0,9.771846064E0 +4.014706420E0,-1.684112549E-1,-1.896057129E-1,9.787780762E0,9.791065566E0 +4.017056273E0,-2.114562988E-1,-1.848449707E-1,9.773498535E0,9.777533178E0 +4.019436644E0,-1.875457764E-1,-1.848449707E-1,9.792526245E0,9.796066116E0 +4.021817015E0,-1.636505127E-1,-2.086334229E-1,9.778244019E0,9.781838553E0 +4.024197387E0,-1.732025146E-1,-1.991119385E-1,9.797286987E0,9.800840627E0 +4.026577758E0,-1.779785156E-1,-1.943664551E-1,9.783004761E0,9.786553879E0 +4.028958129E0,-1.732025146E-1,-1.658020020E-1,9.806793213E0,9.809723877E0 +4.031338500E0,-1.684112549E-1,-2.086334229E-1,9.787780762E0,9.791452522E0 +4.033718871E0,-1.732025146E-1,-1.896057129E-1,9.759231567E0,9.762609806E0 +4.036068724E0,-1.827697754E-1,-2.038879395E-1,9.802047729E0,9.805871444E0 +4.038449096E0,-1.684112549E-1,-1.896057129E-1,9.802047729E0,9.805327754E0 +4.040829467E0,-2.019042969E-1,-1.943664551E-1,9.792526245E0,9.796535812E0 +4.043209838E0,-1.875457764E-1,-1.753234863E-1,9.792526245E0,9.795891078E0 +4.045590209E0,-1.923217773E-1,-1.800842285E-1,9.783004761E0,9.786552005E0 +4.047970580E0,-1.827697754E-1,-1.753234863E-1,9.802047729E0,9.805319108E0 +4.050350951E0,-2.019042969E-1,-1.753234863E-1,9.763992310E0,9.767653223E0 +4.052731322E0,-1.923217773E-1,-1.753234863E-1,9.802047729E0,9.805501807E0 +4.055111693E0,-1.971130371E-1,-1.800842285E-1,9.802047729E0,9.805683228E0 +4.057461547E0,-1.779785156E-1,-1.896057129E-1,9.783004761E0,9.786460485E0 +4.059841918E0,-1.875457764E-1,-1.943664551E-1,9.816314697E0,9.820029836E0 +4.062222289E0,-1.923217773E-1,-1.943664551E-1,9.802047729E0,9.805860782E0 +4.064602660E0,-2.162475586E-1,-2.038879395E-1,9.768737793E0,9.773257971E0 +4.066983031E0,-1.684112549E-1,-2.086334229E-1,9.763992310E0,9.767673012E0 +4.069363402E0,-1.684112549E-1,-1.991119385E-1,9.821060181E0,9.824521922E0 +4.071743773E0,-1.492919922E-1,-1.943664551E-1,9.792526245E0,9.795592717E0 +4.074124144E0,-1.779785156E-1,-1.896057129E-1,9.768737793E0,9.772198563E0 +4.076473998E0,-1.923217773E-1,-1.800842285E-1,9.797286987E0,9.800829062E0 +4.078854369E0,-1.732025146E-1,-2.133941650E-1,9.797286987E0,9.801141183E0 +4.081234740E0,-1.779785156E-1,-1.943664551E-1,9.754470825E0,9.758030321E0 +4.083615111E0,-1.827697754E-1,-1.991119385E-1,9.802047729E0,9.805773302E0 +4.085995482E0,-1.588592529E-1,-1.800842285E-1,9.787780762E0,9.790726165E0 +4.088375853E0,-1.732025146E-1,-1.896057129E-1,9.783004761E0,9.786374793E0 +4.090756224E0,-1.779785156E-1,-1.848449707E-1,9.768737793E0,9.772107351E0 +4.093136596E0,-1.923217773E-1,-2.086334229E-1,9.778244019E0,9.782360229E0 +4.095486449E0,-1.492919922E-1,-1.467590332E-1,9.787780762E0,9.790019334E0 +4.097866820E0,-1.445159912E-1,-1.800842285E-1,9.792526245E0,9.795248106E0 +4.100247191E0,-1.492919922E-1,-1.848449707E-1,9.797286987E0,9.800167757E0 +4.102627562E0,-1.779785156E-1,-1.848449707E-1,9.802047729E0,9.805405841E0 +4.105007933E0,-1.588592529E-1,-1.753234863E-1,9.825820923E0,9.828668852E0 +4.107388305E0,-1.684112549E-1,-1.943664551E-1,9.825820923E0,9.829186003E0 +4.109768676E0,-1.588592529E-1,-1.705627441E-1,9.797286987E0,9.800059195E0 +4.112149047E0,-1.684112549E-1,-1.705627441E-1,9.811553955E0,9.814481393E0 +4.114529418E0,-1.732025146E-1,-1.705627441E-1,9.806793213E0,9.809805497E0 +4.116879271E0,-1.540679932E-1,-1.753234863E-1,9.787780762E0,9.790563187E0 +4.119259642E0,-1.779785156E-1,-1.610412598E-1,9.792526245E0,9.795467365E0 +4.121640014E0,-1.445159912E-1,-1.705627441E-1,9.773498535E0,9.776054937E0 +4.124020385E0,-1.923217773E-1,-1.753234863E-1,9.763992310E0,9.767459844E0 +4.126400756E0,-1.636505127E-1,-1.658020020E-1,9.783004761E0,9.785778147E0 +4.128781127E0,-1.732025146E-1,-1.467590332E-1,9.806793213E0,9.809420495E0 +4.131161498E0,-1.636505127E-1,-1.848449707E-1,9.802047729E0,9.805156238E0 +4.133541869E0,-1.779785156E-1,-1.800842285E-1,9.816314697E0,9.819579467E0 +4.135891723E0,-1.588592529E-1,-1.467590332E-1,9.792526245E0,9.794914228E0 +4.138272094E0,-1.827697754E-1,-1.658020020E-1,9.787780762E0,9.790891039E0 +4.140652465E0,-1.875457764E-1,-1.848449707E-1,9.773498535E0,9.777045295E0 +4.143032836E0,-1.684112549E-1,-1.800842285E-1,9.792526245E0,9.795629788E0 +4.145413207E0,-1.540679932E-1,-1.800842285E-1,9.811553955E0,9.814415840E0 +4.147793578E0,-1.492919922E-1,-1.848449707E-1,9.816314697E0,9.819189885E0 +4.150173949E0,-1.827697754E-1,-1.753234863E-1,9.811553955E0,9.814822165E0 +4.152523803E0,-1.540679932E-1,-1.753234863E-1,9.825820923E0,9.828592579E0 +4.154904174E0,-1.732025146E-1,-1.848449707E-1,9.811553955E0,9.814823370E0 +4.157284545E0,-1.492919922E-1,-2.038879395E-1,9.768737793E0,9.772005754E0 +4.159664916E0,-1.779785156E-1,-1.896057129E-1,9.797286987E0,9.800737676E0 +4.162045287E0,-2.066650391E-1,-1.800842285E-1,9.797286987E0,9.801121011E0 +4.164425658E0,-1.923217773E-1,-1.943664551E-1,9.797286987E0,9.801101892E0 +4.166806029E0,-1.875457764E-1,-1.562805176E-1,9.778244019E0,9.781290973E0 +4.169186400E0,-1.732025146E-1,-1.848449707E-1,9.787780762E0,9.791058115E0 +4.171566771E0,-1.779785156E-1,-1.896057129E-1,9.783004761E0,9.786460485E0 +4.173947142E0,-1.827697754E-1,-1.991119385E-1,9.763992310E0,9.767732397E0 +4.176296996E0,-1.684112549E-1,-1.896057129E-1,9.797286987E0,9.800568605E0 +4.178677367E0,-2.019042969E-1,-1.991119385E-1,9.806793213E0,9.810892112E0 +4.181057738E0,-1.684112549E-1,-2.229156494E-1,9.811553955E0,9.815530793E0 +4.183438109E0,-1.971130371E-1,-1.943664551E-1,9.773498535E0,9.777418140E0 +4.185818480E0,-2.066650391E-1,-1.610412598E-1,9.811553955E0,9.815051489E0 +4.188198851E0,-1.684112549E-1,-1.848449707E-1,9.768737793E0,9.771937785E0 +4.190579223E0,-1.971130371E-1,-1.991119385E-1,9.825820923E0,9.829814643E0 +4.192959594E0,-1.588592529E-1,-2.038879395E-1,9.821060181E0,9.824460780E0 +4.195309447E0,-1.779785156E-1,-1.610412598E-1,9.802047729E0,9.804985993E0 +4.197689818E0,-2.019042969E-1,-1.943664551E-1,9.787780762E0,9.791792272E0 +4.200070189E0,-1.923217773E-1,-2.276763916E-1,9.797286987E0,9.801819041E0 +4.202450560E0,-1.684112549E-1,-1.800842285E-1,9.825820923E0,9.828913953E0 +4.204830932E0,-1.732025146E-1,-1.610412598E-1,9.806793213E0,9.809644566E0 +4.207211303E0,-1.684112549E-1,-1.991119385E-1,9.759231567E0,9.762715232E0 +4.209591674E0,-1.636505127E-1,-1.800842285E-1,9.792526245E0,9.795549095E0 +4.211972045E0,-1.732025146E-1,-2.133941650E-1,9.787780762E0,9.791638699E0 +4.214352416E0,-2.019042969E-1,-1.896057129E-1,9.773498535E0,9.777422426E0 +4.216732787E0,-1.971130371E-1,-1.991119385E-1,9.806793213E0,9.810794679E0 +4.219113158E0,-1.827697754E-1,-1.753234863E-1,9.811553955E0,9.814822165E0 +4.221493529E0,-2.019042969E-1,-1.943664551E-1,9.802047729E0,9.806053404E0 +4.223873900E0,-1.779785156E-1,-1.896057129E-1,9.825820923E0,9.829261594E0 +4.226254271E0,-1.875457764E-1,-1.753234863E-1,9.783004761E0,9.786372867E0 +4.228634642E0,-1.684112549E-1,-1.800842285E-1,9.806793213E0,9.809892242E0 +4.231015014E0,-1.540679932E-1,-1.753234863E-1,9.787780762E0,9.790563187E0 +4.233395385E0,-1.588592529E-1,-1.943664551E-1,9.797286987E0,9.800502380E0 +4.235745238E0,-1.588592529E-1,-1.800842285E-1,9.811553955E0,9.814492223E0 +4.238125609E0,-1.684112549E-1,-1.943664551E-1,9.816314697E0,9.819683035E0 +4.240505980E0,-1.301574707E-1,-2.086334229E-1,9.768737793E0,9.771832323E0 +4.242886351E0,-1.636505127E-1,-1.896057129E-1,9.735458374E0,9.738679663E0 +4.245266723E0,-1.588592529E-1,-1.800842285E-1,9.816314697E0,9.819251541E0 +4.247647094E0,-1.492919922E-1,-1.800842285E-1,9.787780762E0,9.790575605E0 +4.250027465E0,-1.492919922E-1,-1.562805176E-1,9.787780762E0,9.790166696E0 +4.252407836E0,-1.684112549E-1,-1.753234863E-1,9.811553955E0,9.814565283E0 +4.254757689E0,-1.445159912E-1,-1.705627441E-1,9.830566406E0,9.833107972E0 +4.257138060E0,-1.540679932E-1,-1.943664551E-1,9.783004761E0,9.786148242E0 +4.259518432E0,-1.636505127E-1,-1.610412598E-1,9.797286987E0,9.799976943E0 +4.261898803E0,-1.636505127E-1,-1.943664551E-1,9.811553955E0,9.814843393E0 +4.264279174E0,-1.636505127E-1,-1.800842285E-1,9.787780762E0,9.790805077E0 +4.266659545E0,-1.827697754E-1,-1.800842285E-1,9.802047729E0,9.805405387E0 +4.269039916E0,-1.588592529E-1,-1.848449707E-1,9.802047729E0,9.805077441E0 +4.271420287E0,-1.636505127E-1,-1.705627441E-1,9.792526245E0,9.795378676E0 +4.273770140E0,-1.636505127E-1,-1.800842285E-1,9.749725342E0,9.752761458E0 +4.276150512E0,-1.397247314E-1,-1.610412598E-1,9.783004761E0,9.785327763E0 +4.278530883E0,-1.636505127E-1,-2.133941650E-1,9.821060181E0,9.824741301E0 +4.280911254E0,-1.540679932E-1,-1.943664551E-1,9.806793213E0,9.809929071E0 +4.283291625E0,-1.732025146E-1,-1.896057129E-1,9.773498535E0,9.776871844E0 +4.285671996E0,-1.779785156E-1,-1.610412598E-1,9.797286987E0,9.800226679E0 +4.288052367E0,-1.732025146E-1,-1.800842285E-1,9.792526245E0,9.795713333E0 +4.290432738E0,-1.875457764E-1,-2.133941650E-1,9.792526245E0,9.796646403E0 +4.292813109E0,-1.732025146E-1,-2.133941650E-1,9.844833374E0,9.848668963E0 +4.295162963E0,-1.684112549E-1,-1.753234863E-1,9.787780762E0,9.790799401E0 +4.297543334E0,-1.732025146E-1,-1.991119385E-1,9.806793213E0,9.810343409E0 +4.299923705E0,-1.971130371E-1,-1.943664551E-1,9.802047729E0,9.805955923E0 +4.302304076E0,-1.827697754E-1,-1.610412598E-1,9.821060181E0,9.824080728E0 +4.304684447E0,-1.923217773E-1,-2.133941650E-1,9.821060181E0,9.825260699E0 +4.307064818E0,-1.636505127E-1,-2.181701660E-1,9.783004761E0,9.786805498E0 +4.309445189E0,-1.971130371E-1,-1.705627441E-1,9.816314697E0,9.819774918E0 +4.311825560E0,-1.923217773E-1,-1.848449707E-1,9.783004761E0,9.786640766E0 +4.314175414E0,-1.636505127E-1,-1.896057129E-1,9.787780762E0,9.790984836E0 +4.316555785E0,-1.971130371E-1,-2.086334229E-1,9.768737793E0,9.772953470E0 +4.318936156E0,-1.732025146E-1,-1.800842285E-1,9.811553955E0,9.814734864E0 +4.321316527E0,-1.779785156E-1,-1.848449707E-1,9.797286987E0,9.800646730E0 +4.323696898E0,-1.875457764E-1,-1.896057129E-1,9.830566406E0,9.834183220E0 +4.326077269E0,-1.875457764E-1,-1.848449707E-1,9.792526245E0,9.796066116E0 +4.328457640E0,-1.732025146E-1,-2.038879395E-1,9.802047729E0,9.805697787E0 +4.330838012E0,-1.732025146E-1,-1.848449707E-1,9.749725342E0,9.753015483E0 +4.333187865E0,-2.019042969E-1,-1.800842285E-1,9.797286987E0,9.801021783E0 +4.335568236E0,-1.923217773E-1,-1.658020020E-1,9.816314697E0,9.819598373E0 +4.337948607E0,-2.019042969E-1,-1.705627441E-1,9.816314697E0,9.819872261E0 +4.340328978E0,-1.684112549E-1,-2.229156494E-1,9.773498535E0,9.777490852E0 +4.342709349E0,-2.019042969E-1,-1.943664551E-1,9.806793213E0,9.810796950E0 +4.345089721E0,-1.971130371E-1,-1.610412598E-1,9.811553955E0,9.814855009E0 +4.347470092E0,-1.971130371E-1,-1.943664551E-1,9.802047729E0,9.805955923E0 +4.349850463E0,-2.066650391E-1,-1.991119385E-1,9.792526245E0,9.796730386E0 +4.352200316E0,-1.684112549E-1,-1.658020020E-1,9.811553955E0,9.814399812E0 +4.354580687E0,-1.971130371E-1,-1.705627441E-1,9.806793213E0,9.810256792E0 +4.356961058E0,-1.875457764E-1,-1.753234863E-1,9.768737793E0,9.772110817E0 +4.359341430E0,-1.732025146E-1,-1.943664551E-1,9.797286987E0,9.800745367E0 +4.361721801E0,-2.114562988E-1,-1.658020020E-1,9.792526245E0,9.796212244E0 +4.364102172E0,-1.827697754E-1,-2.038879395E-1,9.792526245E0,9.796353676E0 +4.366482543E0,-1.827697754E-1,-1.943664551E-1,9.778244019E0,9.781883213E0 +4.368862914E0,-1.971130371E-1,-2.133941650E-1,9.806793213E0,9.811094931E0 +4.371212767E0,-1.827697754E-1,-1.705627441E-1,9.797286987E0,9.800475945E0 +4.373593139E0,-1.445159912E-1,-1.562805176E-1,9.783004761E0,9.785320159E0 +4.375973510E0,-1.588592529E-1,-1.991119385E-1,9.844833374E0,9.848128045E0 +4.378353881E0,-1.588592529E-1,-1.800842285E-1,9.821060181E0,9.823995606E0 +4.380734252E0,-1.684112549E-1,-1.705627441E-1,9.725952148E0,9.728905344E0 +4.383114623E0,-1.540679932E-1,-1.753234863E-1,9.716415405E0,9.719218261E0 +4.385494994E0,-1.588592529E-1,-1.753234863E-1,9.783004761E0,9.785865150E0 +4.387875365E0,-1.732025146E-1,-1.753234863E-1,9.844833374E0,9.847917628E0 +4.390255736E0,-1.540679932E-1,-1.943664551E-1,9.816314697E0,9.819447515E0 +4.392605590E0,-1.684112549E-1,-1.800842285E-1,9.802047729E0,9.805148259E0 +4.394985961E0,-1.636505127E-1,-1.991119385E-1,9.787780762E0,9.791173540E0 +4.397366332E0,-1.349487305E-1,-1.943664551E-1,9.854370117E0,9.857210553E0 +4.399746703E0,-1.540679932E-1,-2.038879395E-1,9.773498535E0,9.776839001E0 +4.402127074E0,-1.779785156E-1,-1.896057129E-1,9.811553955E0,9.814999628E0 +4.404507445E0,-1.397247314E-1,-1.753234863E-1,9.783004761E0,9.785573232E0 +4.406887816E0,-1.492919922E-1,-1.705627441E-1,9.806793213E0,9.809412463E0 +4.409268187E0,-1.875457764E-1,-2.181701660E-1,9.811553955E0,9.815771119E0 +4.411618041E0,-1.827697754E-1,-2.038879395E-1,9.792526245E0,9.796353676E0 +4.413998412E0,-1.732025146E-1,-1.848449707E-1,9.802047729E0,9.805320314E0 +4.416378783E0,-1.827697754E-1,-1.848449707E-1,9.735458374E0,9.738928186E0 +4.418759154E0,-1.875457764E-1,-2.133941650E-1,9.787780762E0,9.791902917E0 +4.421139525E0,-1.636505127E-1,-1.896057129E-1,9.802047729E0,9.805247142E0 +4.423519896E0,-1.875457764E-1,-2.133941650E-1,9.806793213E0,9.810907379E0 +4.425900267E0,-1.732025146E-1,-1.848449707E-1,9.840087891E0,9.843347828E0 +4.428280639E0,-1.827697754E-1,-1.848449707E-1,9.849609375E0,9.853038988E0 +4.430630492E0,-1.732025146E-1,-1.705627441E-1,9.797286987E0,9.800302193E0 +4.433010863E0,-1.636505127E-1,-1.705627441E-1,9.768737793E0,9.771597168E0 +4.435391234E0,-1.684112549E-1,-1.658020020E-1,9.816314697E0,9.819159174E0 +4.437771605E0,-1.779785156E-1,-1.658020020E-1,9.816314697E0,9.819327925E0 +4.440151976E0,-1.779785156E-1,-1.896057129E-1,9.783004761E0,9.786460485E0 +4.442532348E0,-1.779785156E-1,-1.896057129E-1,9.797286987E0,9.800737676E0 +4.444912719E0,-1.732025146E-1,-1.705627441E-1,9.792526245E0,9.795542916E0 +4.447293090E0,-1.827697754E-1,-1.800842285E-1,9.787780762E0,9.791143312E0 +4.449673461E0,-1.827697754E-1,-1.991119385E-1,9.797286987E0,9.801014369E0 +4.452023314E0,-1.779785156E-1,-1.848449707E-1,9.792526245E0,9.795887621E0 +4.454403685E0,-2.066650391E-1,-1.753234863E-1,9.811553955E0,9.815296214E0 +4.456784057E0,-2.019042969E-1,-1.896057129E-1,9.802047729E0,9.805960196E0 +4.459164428E0,-1.971130371E-1,-1.800842285E-1,9.792526245E0,9.796165277E0 +4.461544799E0,-1.923217773E-1,-2.038879395E-1,9.816314697E0,9.820315280E0 +4.463925170E0,-1.875457764E-1,-1.896057129E-1,9.806793213E0,9.810418792E0 +4.466305541E0,-1.971130371E-1,-1.848449707E-1,9.768737793E0,9.772474573E0 +4.468685912E0,-1.875457764E-1,-2.038879395E-1,9.783004761E0,9.786926272E0 +4.471066283E0,-1.971130371E-1,-1.943664551E-1,9.763992310E0,9.767915729E0 +4.473416137E0,-1.923217773E-1,-1.943664551E-1,9.778244019E0,9.782066350E0 +4.475796508E0,-1.492919922E-1,-1.658020020E-1,9.821060181E0,9.823594122E0 +4.478176879E0,-1.827697754E-1,-1.943664551E-1,9.816314697E0,9.819939783E0 +4.480557250E0,-2.305755615E-1,-1.943664551E-1,9.744964600E0,9.749629657E0 +4.482937621E0,-1.875457764E-1,-2.038879395E-1,9.706909180E0,9.710861421E0 +4.485317992E0,-1.875457764E-1,-1.943664551E-1,9.816314697E0,9.820029836E0 +4.487698363E0,-1.875457764E-1,-1.800842285E-1,9.787780762E0,9.791233629E0 +4.490078734E0,-1.732025146E-1,-1.848449707E-1,9.735458374E0,9.738753335E0 +4.492428588E0,-1.875457764E-1,-1.991119385E-1,9.768737793E0,9.772566554E0 +4.494808959E0,-2.066650391E-1,-1.848449707E-1,9.811553955E0,9.815470906E0 +4.497189330E0,-1.779785156E-1,-1.658020020E-1,9.835327148E0,9.838334553E0 +4.499569701E0,-1.636505127E-1,-1.753234863E-1,9.830566406E0,9.833491531E0 +4.501950072E0,-1.875457764E-1,-2.229156494E-1,9.783004761E0,9.787341159E0 +4.504330443E0,-1.923217773E-1,-1.896057129E-1,9.797286987E0,9.801008637E0 +4.506710814E0,-1.636505127E-1,-2.038879395E-1,9.806793213E0,9.810277514E0 +4.509091185E0,-1.827697754E-1,-1.705627441E-1,9.840087891E0,9.843262982E0 +4.511471557E0,-1.875457764E-1,-1.848449707E-1,9.821060181E0,9.824589770E0 +4.513851928E0,-1.636505127E-1,-1.705627441E-1,9.825820923E0,9.828663691E0 +4.516232299E0,-1.827697754E-1,-1.848449707E-1,9.792526245E0,9.795975843E0 +4.518612670E0,-1.923217773E-1,-1.372375488E-1,9.759231567E0,9.762091098E0 +4.520993041E0,-1.684112549E-1,-1.800842285E-1,9.806793213E0,9.809892242E0 +4.523373412E0,-1.779785156E-1,-1.896057129E-1,9.783004761E0,9.786460485E0 +4.525753783E0,-1.684112549E-1,-1.610412598E-1,9.759231567E0,9.762012980E0 +4.528134154E0,-1.875457764E-1,-1.896057129E-1,9.806793213E0,9.810418792E0 +4.530514525E0,-1.827697754E-1,-1.705627441E-1,9.778244019E0,9.781439185E0 +4.532864379E0,-2.066650391E-1,-1.943664551E-1,9.759231567E0,9.763354421E0 +4.535244750E0,-1.875457764E-1,-1.658020020E-1,9.787780762E0,9.790981358E0 +4.537625121E0,-1.540679932E-1,-1.848449707E-1,9.830566406E0,9.833511096E0 +4.540005492E0,-2.162475586E-1,-2.038879395E-1,9.797286987E0,9.801794000E0 +4.542385863E0,-1.875457764E-1,-1.800842285E-1,9.778244019E0,9.781700253E0 +4.544766234E0,-1.684112549E-1,-1.800842285E-1,9.806793213E0,9.809892242E0 +4.547146605E0,-1.779785156E-1,-1.848449707E-1,9.778244019E0,9.781610302E0 +4.549526976E0,-1.636505127E-1,-1.800842285E-1,9.802047729E0,9.805067644E0 +4.551876830E0,-1.923217773E-1,-1.800842285E-1,9.806793213E0,9.810331856E0 +4.554257201E0,-1.971130371E-1,-1.753234863E-1,9.773498535E0,9.777058120E0 +4.556637572E0,-1.827697754E-1,-1.610412598E-1,9.825820923E0,9.828840007E0 +4.559017943E0,-1.923217773E-1,-1.896057129E-1,9.797286987E0,9.801008637E0 +4.561398314E0,-1.971130371E-1,-1.800842285E-1,9.787780762E0,9.791421558E0 +4.563778685E0,-1.923217773E-1,-1.943664551E-1,9.811553955E0,9.815363315E0 +4.566159057E0,-1.875457764E-1,-1.848449707E-1,9.825820923E0,9.829348803E0 +4.568539428E0,-1.684112549E-1,-1.991119385E-1,9.797286987E0,9.800757125E0 +4.570889281E0,-1.875457764E-1,-1.943664551E-1,9.768737793E0,9.772471018E0 +4.573269652E0,-2.114562988E-1,-1.753234863E-1,9.759231567E0,9.763096480E0 +4.575650023E0,-2.066650391E-1,-1.848449707E-1,9.740203857E0,9.744149490E0 +4.578030394E0,-1.684112549E-1,-1.800842285E-1,9.802047729E0,9.805148259E0 +4.580410765E0,-1.971130371E-1,-1.800842285E-1,9.792526245E0,9.796165277E0 +4.582791137E0,-1.875457764E-1,-1.991119385E-1,9.763992310E0,9.767822931E0 +4.585171508E0,-1.684112549E-1,-1.753234863E-1,9.783004761E0,9.786024873E0 +4.587551879E0,-1.875457764E-1,-1.753234863E-1,9.787780762E0,9.791147225E0 +4.589932250E0,-1.684112549E-1,-1.800842285E-1,9.797286987E0,9.800389022E0 +4.592282103E0,-2.019042969E-1,-1.848449707E-1,9.768737793E0,9.772572388E0 +4.594662474E0,-1.875457764E-1,-1.610412598E-1,9.816314697E0,9.819426762E0 +4.597042846E0,-1.827697754E-1,-1.991119385E-1,9.797286987E0,9.801014369E0 +4.599423217E0,-1.827697754E-1,-1.753234863E-1,9.806793213E0,9.810063009E0 +4.601803588E0,-1.923217773E-1,-1.896057129E-1,9.849609375E0,9.853311262E0 +4.604183959E0,-1.923217773E-1,-1.896057129E-1,9.821060181E0,9.824772825E0 +4.606564330E0,-1.636505127E-1,-1.991119385E-1,9.792526245E0,9.795917380E0 +4.608944701E0,-1.875457764E-1,-1.753234863E-1,9.759231567E0,9.762607875E0 +4.611294555E0,-1.827697754E-1,-1.943664551E-1,9.802047729E0,9.805678090E0 +4.613674926E0,-1.684112549E-1,-1.800842285E-1,9.821060181E0,9.824154709E0 +4.616055297E0,-1.636505127E-1,-2.229156494E-1,9.830566406E0,9.834455183E0 +4.618435668E0,-1.923217773E-1,-1.848449707E-1,9.802047729E0,9.805676673E0 +4.620816039E0,-1.923217773E-1,-1.800842285E-1,9.783004761E0,9.786552005E0 +4.623196410E0,-1.540679932E-1,-1.848449707E-1,9.778244019E0,9.781204460E0 +4.625576781E0,-1.923217773E-1,-1.800842285E-1,9.783004761E0,9.786552005E0 +4.627957152E0,-1.732025146E-1,-1.943664551E-1,9.802047729E0,9.805504430E0 +4.630307006E0,-1.923217773E-1,-1.705627441E-1,9.759231567E0,9.762616458E0 +4.632687377E0,-1.827697754E-1,-1.848449707E-1,9.759231567E0,9.762692930E0 +4.635067748E0,-1.779785156E-1,-1.991119385E-1,9.773498535E0,9.777146595E0 +4.637448119E0,-1.923217773E-1,-1.943664551E-1,9.816314697E0,9.820122210E0 +4.639828490E0,-2.258148193E-1,-1.991119385E-1,9.797286987E0,9.801911559E0 +4.642208861E0,-1.923217773E-1,-1.705627441E-1,9.816314697E0,9.819679911E0 +4.644589232E0,-1.636505127E-1,-1.896057129E-1,9.802047729E0,9.805247142E0 +4.646969603E0,-1.923217773E-1,-2.038879395E-1,9.768737793E0,9.772757852E0 +4.649349974E0,-1.875457764E-1,-1.896057129E-1,9.802047729E0,9.805675063E0 +4.651699828E0,-1.732025146E-1,-1.753234863E-1,9.830566406E0,9.833655134E0 +4.654080199E0,-1.971130371E-1,-1.991119385E-1,9.797286987E0,9.801292334E0 +4.656460570E0,-2.019042969E-1,-1.753234863E-1,9.792526245E0,9.796176496E0 +4.658840941E0,-1.732025146E-1,-1.705627441E-1,9.773498535E0,9.776521077E0 +4.661221312E0,-1.875457764E-1,-1.705627441E-1,9.783004761E0,9.786288736E0 +4.663601683E0,-1.684112549E-1,-1.562805176E-1,9.797286987E0,9.799980524E0 +4.665982055E0,-1.684112549E-1,-1.943664551E-1,9.830566406E0,9.833929862E0 +4.668362426E0,-1.779785156E-1,-2.086334229E-1,9.797286987E0,9.801124250E0 +4.670712279E0,-1.827697754E-1,-1.467590332E-1,9.816314697E0,9.819112854E0 +4.673092650E0,-1.779785156E-1,-1.800842285E-1,9.806793213E0,9.810061152E0 +4.675473021E0,-1.732025146E-1,-2.038879395E-1,9.821060181E0,9.824703175E0 +4.677853392E0,-1.779785156E-1,-1.800842285E-1,9.849609375E0,9.852863113E0 +4.680233764E0,-1.779785156E-1,-1.943664551E-1,9.797286987E0,9.800830933E0 +4.682614135E0,-1.732025146E-1,-1.896057129E-1,9.830566406E0,9.833920139E0 +4.684994506E0,-1.923217773E-1,-1.753234863E-1,9.830566406E0,9.834010467E0 +4.687344359E0,-1.971130371E-1,-1.753234863E-1,9.844833374E0,9.848367176E0 +4.689724730E0,-1.636505127E-1,-2.038879395E-1,9.792526245E0,9.796015621E0 +4.692105101E0,-1.875457764E-1,-2.086334229E-1,9.806793213E0,9.810804984E0 +4.694485473E0,-1.732025146E-1,-1.800842285E-1,9.830566406E0,9.833741165E0 +4.696865844E0,-1.875457764E-1,-2.038879395E-1,9.802047729E0,9.805961626E0 +4.699246215E0,-1.923217773E-1,-1.800842285E-1,9.763992310E0,9.767546458E0 +4.701626586E0,-1.732025146E-1,-1.562805176E-1,9.792526245E0,9.795304639E0 +4.704006957E0,-1.684112549E-1,-1.848449707E-1,9.811553955E0,9.814739988E0 +4.706387328E0,-1.684112549E-1,-1.753234863E-1,9.787780762E0,9.790799401E0 +4.708767699E0,-1.779785156E-1,-1.896057129E-1,9.783004761E0,9.786460485E0 +4.711117553E0,-1.827697754E-1,-2.133941650E-1,9.792526245E0,9.796556136E0 +4.713497924E0,-1.923217773E-1,-1.848449707E-1,9.797286987E0,9.800917694E0 +4.715878295E0,-1.923217773E-1,-1.991119385E-1,9.740203857E0,9.744136925E0 +4.718258666E0,-2.114562988E-1,-2.038879395E-1,9.749725342E0,9.754149286E0 +4.720639037E0,-1.684112549E-1,-1.943664551E-1,9.783004761E0,9.786384563E0 +4.723019408E0,-1.540679932E-1,-1.610412598E-1,9.825820923E0,9.828348185E0 +4.725399779E0,-1.971130371E-1,-1.896057129E-1,9.802047729E0,9.805862714E0 +4.727780150E0,-1.971130371E-1,-1.896057129E-1,9.792526245E0,9.796344938E0 +4.730130004E0,-1.827697754E-1,-1.753234863E-1,9.740203857E0,9.743496000E0 +4.732510375E0,-1.827697754E-1,-2.133941650E-1,9.806793213E0,9.810817243E0 +4.734890746E0,-1.827697754E-1,-1.991119385E-1,9.840087891E0,9.843799066E0 +4.737271117E0,-1.923217773E-1,-1.705627441E-1,9.811553955E0,9.814920801E0 +4.739651488E0,-1.445159912E-1,-1.562805176E-1,1.002557373E1,1.002783312E1 +4.742031859E0,-2.066650391E-1,-1.610412598E-1,9.978027344E0,9.981466545E0 +4.744412230E0,-1.779785156E-1,-1.753234863E-1,9.868621826E0,9.871783599E0 +4.746792601E0,-1.684112549E-1,-2.133941650E-1,9.802047729E0,9.805816596E0 +4.749142455E0,-1.875457764E-1,-1.705627441E-1,9.792526245E0,9.795807028E0 +4.751522826E0,-1.875457764E-1,-1.848449707E-1,9.816314697E0,9.819845993E0 +4.753903197E0,-2.114562988E-1,-2.181701660E-1,9.768737793E0,9.773461519E0 +4.756283568E0,-1.923217773E-1,-1.896057129E-1,9.740203857E0,9.743947310E0 +4.758663939E0,-1.971130371E-1,-2.086334229E-1,9.787780762E0,9.791988240E0 +4.761044310E0,-1.827697754E-1,-2.038879395E-1,9.854370117E0,9.858173537E0 +4.763424682E0,-2.066650391E-1,-1.800842285E-1,9.821060181E0,9.824884928E0 +4.765805053E0,-2.305755615E-1,-1.943664551E-1,9.692642212E0,9.697332440E0 +4.768185424E0,-2.305755615E-1,-2.086334229E-1,9.668869019E0,9.673867949E0 +4.770535277E0,-2.066650391E-1,-1.896057129E-1,9.730697632E0,9.734738680E0 +4.772915648E0,-2.066650391E-1,-2.133941650E-1,9.711669922E0,9.716212234E0 +4.775296019E0,-2.019042969E-1,-2.086334229E-1,9.697402954E0,9.701748157E0 +4.777676390E0,-1.636505127E-1,-1.943664551E-1,9.744964600E0,9.748276507E0 +4.780056762E0,-1.923217773E-1,-2.229156494E-1,9.773498535E0,9.777931922E0 +4.782437133E0,-2.258148193E-1,-1.800842285E-1,9.763992310E0,9.768263330E0 +4.784817504E0,-1.732025146E-1,-1.800842285E-1,9.759231567E0,9.762429525E0 +4.787197875E0,-2.066650391E-1,-1.943664551E-1,9.763992310E0,9.768113153E0 +4.789578246E0,-1.875457764E-1,-2.133941650E-1,9.740203857E0,9.744346139E0 +4.791958617E0,-1.875457764E-1,-2.229156494E-1,9.749725342E0,9.754076535E0 +4.794338988E0,-2.066650391E-1,-1.943664551E-1,9.730697632E0,9.734832570E0 +4.796719359E0,-2.019042969E-1,-2.038879395E-1,9.749725342E0,9.753946887E0 +4.799099730E0,-2.162475586E-1,-2.086334229E-1,9.740203857E0,9.744837715E0 +4.801480101E0,-1.827697754E-1,-2.181701660E-1,9.735458374E0,9.739617691E0 +4.803860473E0,-2.066650391E-1,-1.991119385E-1,9.754470825E0,9.758691361E0 +4.806240844E0,-2.114562988E-1,-2.133941650E-1,9.730697632E0,9.735333956E0 +4.808590697E0,-2.210235596E-1,-1.991119385E-1,9.783004761E0,9.787526711E0 +4.810971068E0,-1.971130371E-1,-1.943664551E-1,9.773498535E0,9.777418140E0 +4.813351439E0,-2.066650391E-1,-1.800842285E-1,9.778244019E0,9.782085506E0 +4.815731810E0,-1.732025146E-1,-2.086334229E-1,9.763992310E0,9.767756797E0 +4.818112182E0,-2.162475586E-1,-1.991119385E-1,9.754470825E0,9.758898998E0 +4.820492553E0,-1.971130371E-1,-1.848449707E-1,9.787780762E0,9.791510274E0 +4.822872924E0,-1.923217773E-1,-1.943664551E-1,9.740203857E0,9.744041111E0 +4.825253295E0,-2.019042969E-1,-2.133941650E-1,9.749725342E0,9.754150227E0 +4.827633666E0,-2.114562988E-1,-1.562805176E-1,9.768737793E0,9.772275857E0 +4.829983519E0,-1.732025146E-1,-1.753234863E-1,9.806793213E0,9.809889426E0 +4.832363890E0,-1.684112549E-1,-1.705627441E-1,9.821060181E0,9.823984786E0 +4.834744262E0,-1.492919922E-1,-1.800842285E-1,9.844833374E0,9.847612025E0 +4.837124633E0,-2.019042969E-1,-1.610412598E-1,9.849609375E0,9.852994696E0 +4.839505004E0,-2.019042969E-1,-2.038879395E-1,9.849609375E0,9.853788128E0 +4.841885375E0,-1.732025146E-1,-1.991119385E-1,9.811553955E0,9.815102429E0 +4.844265746E0,-1.923217773E-1,-1.991119385E-1,9.844833374E0,9.848724658E0 +4.846646117E0,-1.827697754E-1,-2.038879395E-1,9.792526245E0,9.796353676E0