From 02b36494e013253a2e1fce740a13f97fccf84650 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Tue, 9 Apr 2024 07:54:34 +0000
Subject: [PATCH] Update docs build

---
 .buildinfo                                    |   2 +-
 .../auto_examples_python.zip                  | Bin 2326 -> 2326 bytes
 .../auto_examples_jupyter.zip                 | Bin 6213 -> 6213 bytes
 _images/sphx_glr_simple_arctan_fit_001.png    | Bin 25702 -> 25895 bytes
 _images/sphx_glr_simple_arctan_fit_thumb.png  | Bin 27084 -> 27317 bytes
 .../model_fitting/EELS_curve_fitting.rst.txt  |   4 +-
 .../model_fitting/plot_residual.rst.txt       |   6 +-
 .../model_fitting/sg_execution_times.rst.txt  |   8 +-
 .../model_fitting/simple_arctan_fit.rst.txt   |   8 +-
 _sources/sg_execution_times.rst.txt           |   8 +-
 .../model_fitting/EELS_curve_fitting.html     | 172 +++---------------
 .../model_fitting/plot_residual.html          |   6 +-
 .../model_fitting/sg_execution_times.html     |   8 +-
 .../model_fitting/simple_arctan_fit.html      |   8 +-
 changes.html                                  |  13 +-
 searchindex.js                                |   2 +-
 sg_execution_times.html                       |   8 +-
 17 files changed, 63 insertions(+), 190 deletions(-)

diff --git a/.buildinfo b/.buildinfo
index b509496c1..5ad852eb6 100644
--- a/.buildinfo
+++ b/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: f0d32603edd0d3c82c439b0a15b33533
+config: 5dc3cbe299fe605faf02ff19d5bc1c37
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
index 688d5623d962f2b74983df13ec7516db8838d733..2248c8e3f0f4f164cfe735b2911a2c18045134d7 100644
GIT binary patch
delta 58
zcmbOxG);&nz?+#xgaHKF?KbilFfn!8ZMI|bWoBx(+uX}Ki3vzgR^;#p3QsQL@B{G<
HafAQ>gjNpa

delta 58
zcmbOxG);&nz?+#xgaHIjTW{nsU}Cysz1fb*mzn9b_2ypINlZX`vLc5+P<V0?haZS{
Hh$935tM?Fv

diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
index d9201571df34f8746ee870621bde84955eb16109..8ef2e8200fb57973812e22a866aef2843f94cc5a 100644
GIT binary patch
delta 58
zcmX?VaMXY&z?+#xgaHJ)?KbjwurhVqZ4P72V`FN!+kA|>o*T%Y>@FSzqGpQ+0!1gk
H6AuRfzWxx$

delta 58
zcmX?VaMXY&z?+#xgaHKZSa0O<U}d^vy*Z3EkB#ZH_2y&T_1r-IWOwl(5H(vo5GXqN
Hop?9^>CzH`

diff --git a/_images/sphx_glr_simple_arctan_fit_001.png b/_images/sphx_glr_simple_arctan_fit_001.png
index ab779d8b3a60727817fd5d86a77847e0eb2f7cca..864f8ce8504f83050e81efa1cd3d85d324fb9553 100644
GIT binary patch
literal 25895
zcmbTe1yogC*EYNX0i{7o8bm~p5T#Q*gd)OGx&)-VOXARn7DPaiHfTY*Q9ux+OS+}I
z`&%3D`+c7GALAe68{a(!w<q>qYwfjWTyxHAo)G0Ha)fv^cn|~;K9om1g&<561Yt~G
z#sQ!3caP43e}tW6G@PE<nmD-{I2c2U22OTXwoX>&hD<KT4vyxwHg~y&xbNL&GIMgW
za}?p>vHqV6xNRLwc^Ge8cLsx8v6I(ygdk!A_zxpf^0PSv8O1(C+*fgXzdGjbdDZv~
zccYVaQAUZKytNzi%`r(+Ynp=_$|1y$VkwkeuPyZE*UT!+oP|(aw-Yt7&3f*5wElhM
zeZ)8IXv;ZnIbr;og)y-@Nki$FCovECe)ir=*<YsUdGg22gw06eRO0Scnaj*l2=Jdl
z15*_S{DNGE0Cn*}5XLJs8qNNT7a}7iB@MiWBgMkPlFr)z$-`HfP(vZ$>+b|uOyFB&
zf&s(|zQ()ze|@w3>r(3x!|BG5r*Yzre;%`kvKSAg+3c^4QS%vHCcAnyjU7)dSHstJ
z+#NSGeX`yc3*))B*NCe>4&nFI`~F6P{_-L?Qt7;9&dX}y^rDoDi;L*UNZA~<JiC5X
z^{Kh|=W%1jui{_7_IKa@^U%71t8COSPrJ-;Z)M2s{B+;GTZSqtazEw#1b4l9JMzzA
zTwI*tkML^?<29m&FJ45ye;=+_<1tlxy!OD`yY@-m&2%Yb0Ex8Ab+mk>VxoY-#^g77
z1%-=IDY>*JyV4#UtW~WSxUTE13>7sC*ccn%Ai%)_JK{Iq@%FB%;XtnD<&vlz((AJN
zBc;~&vx>8B@$krH$VP1Zei1eG^JYph;g`HT8E0qy^z?MA{))A+stohqPX|jmU&K1f
zDl2Kcj&{DCpY2PII<#>u^yg4LQcx)LI(Es`D#25T=PpqlvaqmFe)i0NVPQckH+?X7
zwdZRxg7ED_7c8`V@=%fK^*eV+CC?77$Hc_Y>51A;2Q;iBk;wa2ny1ctE1Hczeze*I
zvE5WkzJwAv9x%K2-R$0x*aQWq+T`GKpC(*JPt?kaRq!AO2Zyq%s`2rd5#KkX>9nBC
zS_3LxB=ty@D^Ddjh?`81)T2kC4eK5AkXGmQ<3EYEcI!3!>6%3*@{b;U*L58W%+BT@
zr=&Fe9&p8MwEPZ@piMY<OktG`B03>R2Dvfn*lDmfS|P8bB=`6+0S*xz+Ipna+~WLu
zAbxk1t8HUrW9q}#Y}A4_bVT$bv-XwM)nbp6#jYiZI7@@;V_v_uZy*%x%j(k{v~LI^
zOb~PDd;0WgSEaM%$g<@??l&Mtq>PMF0RfkcOiWmA-o!<H?1@cG3<JZkhhoYgyGpIK
zAt_Z=3I?AO`<=Bh+K`YCbVNjxalCHO?((4M?Fnz%nzN(jmX;PN6%}&6yLUHdq9iMI
zo52~gh>O!h8ygM8;HpEqdRV%T_f~%w82IPqt#!PH_XwJdQQ*$n)^c*XM@B|QH$3G@
zr0?!7yjHWXch7p5d~<V?n%{yvl1>;bh1c=VFOlB0p(5O?H=iJ$J|zP>VZWSLmY$pY
z%ODw_@^(Ft@yOU%a)gXbn&n`=+it)5n9cQcyC0Hm=<gaH9wGv^<KbZU(q8VbNwmLc
zjlE^oosMnN{w{F6_L%5P-I)lGg#z<lwhtdaPGx;g{=U?ov$;~#nGUW`;5G1T*a1h!
z@aWN_jk3B^LJA5Bx6LLh`@^~T7s~^AX5-ZrZF3#T;<V={^ODhT-UN==*3kp`X>8-E
z3&+61f#pV(utW`(IRWe80Q;FAY0k?7LUxmop4YA_0nNS3qAn{^Km+K0q<~|3$8Q<b
z%;-aB+L?^4e+5}K=0Xc3DoBpO{nEpS4-a++pKmUHPGJ!hrHvBbqYe!XwL91__?09|
z1(8ru;X>@(+&>a+YeP0?nr9+K*Q6dkyfW^w%tb&iLN0l-f#tEgG*@u){ykl6Z0uxy
z)tX;Ad%|5)qWroukCl<KPUH9!FhSIZ53FJv^;p!B-eN(7v?kiMMZk6#fQ>_kg*Cj0
z632mT%4+yEYWK%q9yCjyP3_7sfU{|gxuIaU-7c76J5dWx8!L#Ian0c*H}`h2<sgxg
z<mo-{!#S$z!#|1g4<CNJ+bQ;fcD`TzxlEbO7_UVid%|NjSchNVR0<lh`Y~~~C-`Mp
zj-2umX<%N7<se>0H+#5j#=_v2lmr3mcL(5j5UQ%GN%p<Hy-mQR86JCm^TWnOQHwZb
z@+P*IPMsd@UJXr0SFP8M2;_eHBwK7VrbR#})Fohbes+q9LWhKq1`{)u5}uzOuVX`-
z^;pEegW41BJoxRSLoZ|}MI9k~=jEPNuz<~2rE0?CPa+LTZ{ED=zgFtLZGs_H4IbQi
zV6#Vohk~D<zjP`vFpxz;LT_iWS1vX_Ui4S9w>ANzgwBW0p9eM76cr;fb90@jUH<&K
z)?MxHXg^|IHWZ{;hIDZFD&%!kY<&QZ`!<AD%~7k+Ra)NZlsL|9uv_+6ov51-$ki^h
zAv$hO`udfxJL}m^3@I>XSjg3zp=IM93Urd*)g9#>$7}N`K9o@7>Hfqz?|5U#Rcz?a
ziyz@4y~DOwnFGq#Dwh!s4h~5I!n9y>%qD7U8VY=|a4qzd(u2Zv>k$Sk**W>&|FkFG
z0jFR!^c5TE+c#jxyR%g}b9E}7_KLA7zMECXSnB;u96*wA&pgIDq1&uchDtZU>v*sK
zt@qACw^@Joo7Md=o?2?yJOlmF<#s&Wngb`%(%Skx>)B_kDBvAZ9|RLQS3XT@YHa-N
zou8jCd;dO0hv>Q(>x~;z@z1@p?w--Rj!xNijDqKhjENz8oFY-v(L|_~Z6KRL8XX-C
zK}AF1y`PmbK7GQW(shbn+On<Ql)Yy&`g`vf7$zJjd*m*)p`qah*om2`U`8DMte_|F
z?p?{s%1Yof#^d1R)O~Ucln1jwMRis2Enm~zJ=Y1ZvWE3|U6*TkczDV>IxAglIqB&v
z??s&PuyBbQYrT$@Ra8EB&7r?v!eT-uwEg<kxHZ>i503H#7&y1tXgTGlPyGsCG#fTY
z(ldNkQc!R_5C<Lx>iVRZDALgRUig{m5wOsG*9Hn-$d##gtc};uN?&$b=)!1!$M5L2
zGFnm8fqlE9wXJRQU?wU9xKwm#sC4fq#qM0qyTCzY2L-yU4hx^yh~st)+BiaP`(v)%
zMW#v!Il1e?!q>nc4{U7mm$s713i%1LtvmG}K7QQzUf9uYvL1s@$PTit*`*Y5UJ6jx
zbH`Q^+YD%1+}hgG=cQh<>fP=T?VP)(HE<3rR?{1Gy^!C(HNa7%0Vn0Q(=CUA!gwW*
z-HE}<0!bMeu>unx{q}80B)#bLfVOQ@&qoCyWCUfs6_xK)tjoI=1-MO$u7#%SgB4}B
z**oVa_Q&3OR-pe4bJXYj6xQ2Swx2UUBK(J}^6%DqIX@)Er{Zn|!g|MJ$4m@tCNK)V
zK&*O|B(3q|_jIgZ)Rca%>*?)<)n%%3IsXChA)DWD8HGk&emqYe@L3<PDW4AI?5c1y
zt={;KZ`S*XkmdUILXTYwU<}orQ^*2E0Z_|s@F<$hkc-0c)U0w{&%bLmn6F#Psn%~~
zWF&Rj7wl}>i{?l@9><}t#^rNy+8Za^og+c2Dk`Z31<JiU*REZIP{4Ck<mpr_5$Tm$
zT^la5jhbtV7Y(1eWrZ8VFfq_wZvO%dR$db-3fvypg5&*l*UYow3CA97fWf2z{!z=<
zSyblQapHiGLN8#Hpk3!(V?puL<4pJSlO)XXAQ)Y=L|-qR@Hv>m^#q`-{Lec}ohOc`
zyMqm8_p-<7v@ZMl`C*o|-J^+c{`3-f9;CK*PFDMaAcFgzo?^+~N9HOjDt(%@s#aFH
z7W)|`>Bf?4`x8D<?TLbxTHZ_m)L0PJYnNJm1Dd!*(An130FH6A);5TU9<P3@{rcX?
z;h$?ItC}h*0oeGI2V%f7L{b1uDPY`69{c9a#rDs4Bq3E*17Xa!Io)J7Qp#mhvpaw)
zo2uUKX!sbf7g~3=`vn-f#%lNNR{%8vG*j`O?fP{rC5b~;2KQM~SQ^1e$buE`txrTn
zNgQ1UnD*wUCrL{VM*t5_0<D!ZG-RoCSq%jXp8?iH3Yf@G0ykM%^#K$rKiwOFB@o~*
zpz_q<aqeqsUK{t?*M+2jFci9N8j2lE`nUZ0h0xKVlZ~Vcfk7s)La+to^*pd!nW$sj
zp6`?cB7oG=S{lRYdkF5^1juq4;Lb+(`J`ZgB6NV4%AWB)JDg9r^8!aUf+i3c0Tym<
zA|QVaKvN=GTOS3#Jj~)U{grShLC}@~7!Ip4-=PvqDrkZu8a@-CE%5YJYnAvPKYnzZ
zi4c4RtXV9F0FvDhV#RyWDZWn^$E_RMpQAnl+^rmdSv@^HyzW~@Co_!ab}xCvYaS=?
zV&M2=Z2xI*0M_0P0FD`;q4zB;vPTv_DWyb$^D_i{lE80C3AF{@1han2L}rXWIi3#V
z0g!dtpIAalMh2U^VwTJk++4a8OZl2jQTov%ytC7FpP7)G$spLdB;vXjj?3UyFVHdj
z^YtcpI0N8BOA~dY=!D5&hYsx8#<1m=siIDa2VmC<?WUw}>sG1^tH+9;9n7=<IRcgj
zHh{pNR1%<o)431u#z4Mq7(h5vz#YQSmb>=AP;95`0kxQ0!H97UaGfyxIy;^?pU#Mq
z_zoMMrZB3EXP=))cp2*ejVQ1h;)6G$zAx)pce)Jz$?g{)nIe;RJ75Xi#U<12>en&Z
zSZ)EJi~<TgHDsFNteuy!u>saU<%iE*4<NFAucF{j8zQ8Cvm=Pk*fW87T_#8bhXrC0
z90F>lG#SKHFz|f{auwLybxNLxfAhy}Fyb=+=1Zf<gm4W=wa9)HYkIvti09H%mnP~Y
zCC*PA#WowSvU73CXlc=ybi6k|W-w&I6HCVW8wt7*{S5)HEJ8v~3(7$4q><#*1UMf)
zeKG{&GJJly@eP-hf&yCxNkUI=T@`o<ju?e5FLF-;Z(#`hD7CNyD{xcxKtd+L_O*0&
z%7HLq>E4%`J({)JV;cfm0Ro@X<>#Bf?siTBm{&L!tBMbt;>n3;V{`NJ*6u?%VjU-u
zPW|xV5|?&qz_&>+ah?xYsYOYmuIVs1Ui=u(3$(i59!Q+Bre?@YbJR#sQ&ST&7Z)MG
zp<TuA8-j_qAMt~TEoKd%0JE{mlEGg7%pBDA_BKZSY7kgcGcZ>4LAxL-0FcuE&m5Q<
ztH5dp1QU!}kHGx1Rnyak#pb;~;vQD_>tpIGDiVGzDgyDwdMRgFX=&*bsmF?nGRDRq
z+ss45!jL*TR>w79y{NfkscUdBEl>GeNyd^F1GdI;03!hWo_ky^2UL-eR$xKmIanLZ
zH5vp2BFvjW4v7IsB6|DwtxYpOO@xr=K|w<Surn+i9IbQrIMwrWpJA*Fm*n_Fu))v7
z3N~ZNO7@FhO#z4+J&zVYzpH)l)wnJ0cd_~FhJxqbhuEvbC62-oj_O~$s4qf!er7Mm
z`egB!h5+unO$AbQ0T6crVB-NWSoTLd<|9JDPh5Do{bq)j1UH|&uLm0hdm<Rz0}GHK
z{<1V&l?hCbSNW=zFg)if<4whP0fG~rSD{z2u>tVmcP5LM4l;Uf+^^nh<;(=w2t-w|
z)dWW7!L~zKSXgvI0vaF_y-U(yhwsnZQUWPs$G=EA{G5f~aqGkTvc>TKnukEMmwzq7
zc>QzhG2$tl>Ii(NOsuRB2bGk>nX<(Afg}ifUw{XywG}g5wyj7tGgu3c&@*LdqYCA9
zp^#Z$i@2tEIPqJ4Mvu{WB|MH(w!DYQ&;M2X0ii0EN6KauDg^yq@k!*|WWVxvMyAgk
zEf&fL$d@UBx6~l7dORl5K=FAFBc|*a-~53~IW&DFoTaSvoFD~5?%6TVj5A%`D5Y-c
zr%D*(-0|r%-sie6&*WdgxfbU&Oq8P=9wGtHN!_)evd7q2)B`X1to8|W1Xy#XL^g3h
zl`BTQuoyPq<NjdlDPqletBVU5Ixr8D33`r`=Ak3hJVb`9?+?zQ&`qkMTyY#;YACe}
zo<CU3sI8tTzC8Q#=}fgdP;caeS<79S&L!WRR@H(koV<~ARnGH4E|UH?Qr5&JrCPxs
zKM&U7#nz1s^t;3kQLI`dVQSJ__qT2eD_?TY%gmIANMvMWz9vc|oH`CRrJ;F-nPyxY
zVc8dxf7V00%`|y3x=-EKhUYC9&T?Ppn4gY4v9K;7Dv}Vh#;=K^ZCT9S`5oy|Cz!YV
zf&JUdPRr5AGZRuADMoN!$Qp9AoxXVLr;pfdvj;ttCB{Q_f7YNSG2-R*&~)3>uf#K2
z!&4Rv9W&vKKKXf}WC^QlZ4xD=oXXZctrH|mx0Tn4x!QIL=&wOHfXz$y`1wp@JMgn|
zmP<XM3VWZ{(6-5;Z}!G-TR~fn=<#2o)CP@LuVFk?c<FaI{yG3d855u_ivk_hmg+1B
zha=VP*-&q*>YMg>yo6yFNB$@&C*fo1FE&g1F3~Y0ei+JlFgV-y6fan|XNb?qm-1<l
zEy(7rwemkwd9y8>+A*^2?3wpP`<%(%JI+2ib@-&G=k^Fcmtu->ralx4pecHZP#yO!
z7p_Z9_H(WHoD#+4jvM$+Bs+gROQoEuUgp%QTrK%EqS~Zvss45Q)|C!ouKNRn_`W)U
zA|;1IWw)fL|9Q-YlpL+GB*A&x_-rkvtxt+;9rL{z!+)~4wBo1CtMyg5j8zy{2ip=Q
zrFF2y^K^f%aiGS7Tx`$H94MA{vLTN{J%fMO<C9-oEIBE}cydBWQTt@QT4GPVI=f_~
z|L9;uV&26~>yy`{bD1s{Gc|Ls`?bC0xy2|FE+2x0LZaH@hA|NlV%t9Ug0aec%%ZUK
z2?7+^#i1HL=XZ3qbEG2Qm0((?c$ABw+~!4ClNIEl&Frkswd<mj=jYs!LD?~)rhwhm
zUp&5HGU1-RBJ6s#DyL_WV!CE1cx_yrqs{d18b8>%PCgTr&!lfG4#+wp7t_g0%(3t1
z5I<A7UZS>JeFdS_+)uXR-!w>KeI6XlGygCfTS;l%S>4)IueNG?$Mec&GUofZ{h(nn
zO^jSgkolCyv(4e{z`b*9@ve$@)_TKkkcbP{L<v_`X{>Oq@}_vn{WcL{;_ZDuV%M?H
zdu?5nbt{X`yIFD8p9aL&#cEC~ylXGns~-;>)-1MFm#9G{4!gm=B{deu&z8@LDgN06
z<t%Jst~Yl|mV5`YBY4zRhZ$#cdn@p-togkXobkANaH8qsQ;E46Z|%eVwhHya2N^Id
zLu7GZL*b2jn?ToB#iY9E#xak~yqq}eIl6-})o-hu5n3G+JI*6+qIr(gr4xc{91#rT
zw*NC7{pDh{#oU>S%E}&9{`P(uLW}n~bbB+E_^3S!YM)BQ8eucbEB5)7tDbo$S=f-e
zwOz^W`B$qtx{eIZV->IVdfoB3*1n@ph4L{o;%qN(s?-e7R3{BiBrcAX3{FV0=gtTR
zKP`b)W#-=fRUAAHr8i<+xa{h<hD!bSjty#6-i(&Cr-Z&67U&j9io;8#dP5zx?L;&+
zj`MK7K>xf*E3m!)r2mY%i%g{0%JTVM-J4Sn_R!1-b5;usB$kZIL;_d#R~s_bAa<mE
z!*hgth0uQalnK%tO*tnxdb=Z;VtVCwqD&yOY;4II69>tyR?-`femo|*@q!KQ@ZdU9
z%p_gNQT8_jHugNj#~>kl$~)<oA`l_WdhaXN)a*~nNt&bZkyi2~AI(@p2|}h9kOnX5
zgjo=2X@%^v@7eF&qYNgx5-g`TUeRp+;H!{70*PWp>YH)kb!ohpjS-4qwa1HSdidaO
z^u!jX{r6WaM3Lp%D?`^C^K~Pm&QCixH+z+uyp2iWl)T<8Zf;o+6@Wz7t5>g>s)P}J
zT}Gx@z%OZPN<E1*PWXALZva#Fy7IFbq1tUri{2c<BBJNTEnC~=_Hm|Fn-&(Rp4<^8
z39U#PMCvb+;0LsOGb@@*4tq0ZJMCI@H3wR=N^X}ZD5Q*UDC^m{=VwCM*|!z5vkLEZ
zA7y4?Jgq&ZHkT8~pp;!Px4%W?T=iqmBP?mTYpHMj_r$C;osD3<z^GNJ*#6msG$NJ8
zgj(5`nl5}bJkHd0#x5gL=-nt5>IU)y`3l0~P>(KBg1Gs$2v)(bhNH?|gY&BGPQ?xe
z>E3r4LIxHgehULcGmw<*&^m8Ar7F6ycELtIQzYcaA53!UcWJ+4!w=r|%HK=5pVo5;
zdc}l?%w<jc{hNBTBv78*6oLXDU5%x=YF+h1<eai3*Z_5{gm=2Ukb>r|0tx3MWT+5p
z>Tf=7ayr4{+-<e59oMyD(@0w($dokf(G47k<VGuL;3E|#8r4Vlre#RUHP|@h2(n26
zg<^ll*;Cp($4&i0(@-Pv?-D38DdS)N#fu4%C!|S9N%^9_%~ZEsZJNLR9a_KwCLNEx
zq+p(-KC8xrFD+Mq442Tla7t2C`MA}Gq~_Gr%K9$dh^TJVcWI_QA4%r4*~@#f&N5Hu
z?EAi>Sy&B~5bAvcA~;Me*(qy&e!>K(Z*YwT!<f)1PYWZMNHZvccAn(qmx=zVhkgT`
zSoIZuiJEElEi%PWQBB7~Vwk_X(vOznw=f7GHDOJ?O!4S?>{~K@-ufwnds@kf@oO?U
z*<L~nZz7*5iim{wZuL=qNE!<{DSsl=y@Wa9lt*kWJCe>N)boKh(pU#4gEX6X*;DJZ
z63_f_f|*PejiBHljbLn+@Q<6|ksE24n6yhg6LMM9ppHPLYcLF$Q(%`)Wj(Ks5_may
zy{-XzU+%#YE}Po4RMu@V7%w#7PVz+eB`&v{37ui1rphhk@1q00;KO2#BR(ygpMj(%
zbTyMS@852qtk0k>uU4i6Wvsj8ee9&{N){mpcX17*xGoV0MGMoJuD!RhWVBn;MCzR9
z3*_pmv9ZWtXTM>8UtvW3&NDIWyFze=(NZ1VpBXXh>AO+sn?X_f2*TU`mpXJLerye^
zb0Wpe$XiXtX1;RS-(`@Vo>$OEp&(_k9h_K6VJaLflI?|4^zq5{Si)-&t)_a2jKybN
z3q=&{bw^q%zuZ4QNla&a7oNc1h7?{AQE7kKFCcbSO-|k3U!T(d2pe?`C-zTLX^r~z
z^&0%{oVYZH+1*U<Il>V;e++bjCoYS+7dkuog|g`RsO7-mi>Fr&cn9mPc+*bIqOB{`
zNL|P9dbgUCA(iJo*BiC*Cx3a<G+380O=o<}tnt463xC|vZH$}|t4RmTfcKkc>FBPQ
zAqyBmN($rbWS{BMyMuQ!o=Zaca(W(%H=<)=SO{?ZAtn$mueqF5IL_l~jNc)O0#T8f
z9vet&rKc8%?&lBalXI$FzGH+YX@7TxG~%nse3huAp`BWBGeh_Np&K}poc0F4T)GQ0
zNNQf<+dFP|HqwdRX0T4V{^>F4bhlif+xAI(V|=Ur=EJ(12%CJ8I=#bJLKgBAH}h+B
zV`DEP@p)_&rajNncE$MS9e<uwZ1wc>)d)9tCRaH!^>@7P^{7qVK6KCLp4`|Kd%)Fu
z;7}Mo+(e$tEw*K%S(}Wz<k?ho8Yr90?NXRBFt+F7I-XJG^0MknadPL9Q@2W9H~Sji
ze3%p{X54^d{X5pf_r73Geopb`D76|ge5s<YZmGuxA_DBDgUxAjny}BCuH6V>-FY{v
zK!<KZZJ9&?X&sL&lJj30>}s5Y=r6bu9Fcl2KWFZ;<zAUO^dqsYebeCXIiI6HhJBlO
zr13M8kq>J3&*Z8#$%Yffmz*%JVm<lvO*~|j`hdsul7*e^#51k<8HI!W;=I-KN#!cW
zw9{jaHr0y!xW)G4HVP#lq2HbRoi5uP`l92P>OqS2pqdUg8^v1=%s;}jUe3RYC2!k!
z<CQ{A5k$R@>-L<3bWJ*>EUn>?lGg%PbAEA$NP4d~Q`KLLYvP%P69thMp;dnV<Zd7L
zaj6EUO#b&U9*X<w+Z%xcq4AR2u0)D^>JmBDxFuwj!?kwm%r3iUJw0kl>NeWXi?oTb
zQt53mQ@hQ`as2P!Gw(rw0?xU;s3H;>4Z`<Vt04P91lHCwk%H?l-f+ei6SKnMg_M4r
zpkJ{Y5Vz>OoV*=Z*3WB+ExU?ZU6RVaaXCwIhTHCU@KamAM7=ST1xDku-4@mUpNDBT
zsB;44ZO0#s*QTtDEG?bIdUTU{=vs^B9rp`+zSLq=Uw19p934Fi!RU&NgUUhZ7@d^F
zHSTlnb;sw-vpekpE{4=?o${`^dtl4RE#?XNAhPKEa9Mk@pXt}nOhs`bXic+l@R)b-
zZO+v2bnW>WOXjkYwEuWUrpD#p%cBr=U0ztD<?_^gZkvToGN1oYNmW*zxlxxEtbuE)
z*?TBi8o;}~iN2{d*=`S2TJajm>b&qHtvjVXl{I3;Z!VUV$#&-s64Y`!=9Y6oyuqtt
zJjQxt_!<f@^Ytt=sDBZ8-AuULY)XNmy}wv1ZYnFr^mIs=;9x{%QSqb97jDt#LY=+d
z<7?7y<6K69ExF#@a-~`nns6H)S<SuSSwS-~xa7ig_S>GyyTsG9q-sA>OI|HUjb;dY
zrG5}{17+%v@^Yc}nQb~CE&<4l+bOGs?4+XIKg+OcZzg|FAQ>i_9(Un68W!;RU8cI4
zy4<$)KF2wEpflcX(Q`Lja=xtsZ*aW0R{|mOrEJ@2Pd&R*D@dzrw~sAv{j=013D;GJ
zLD_jn{gMECrF9-PsQ-`#O1x*z^7Pp={-{pihde}`7Di3aI1^URF(&$p^NBtrbGYoy
zm|u|`cgi@FZrkawcGi>2V}4>?p~Z<Bzhq#W?L5BK*Pc}(y<{%JwY+SNR<rz4H{-6b
zeBAC$R}z-G(ojC^y*GVIv4^p-(4Aojl3nm0CaQdI*s>{ICae);20*cWXLUrq*mh!E
z;0#>VbUjLprS@PNztHp0p*u&N2Se)D+q-hxd?0lqZ+l%<Bl60;LHwNe%i17F30GhJ
ze*Lq+mVPl$@yVm7%sa*&$9q}2E8uVzZM>89wo5%eH@o!rn3QZRFK>xqE4cO^Y$dgf
zKmI%~uv2<GJhrTL)@g3`@;9!Ox}Zx(OACqgWl)G=1|?YQndgq}{NIiEu0SBm6&)MP
zn(TAt{w3}wyj9ux60V+a$8DnbeSamF=|&DPk!02{Du{Yzm72Nht{M{CK0wE<+1q9t
zjB_`q*jUcHxYK$YZ<jh`&cA$Solxh~XtwC$dbO)T0&1;?2lUu(cbq??h<a;wjXE>`
z_DhdTzEZ`#@k_~Z?hE!L`=yu*%cb`Gc|2(i6RjTxN*Bc=a@-G|V(ge4dQ_jE%;o2t
zb`G}wh%|->1Yni!{TQz$F;Y~}a*S0KhgFe-Wy&l4iDxIXe!;#YA=$TM#CTaag654>
zngWGNr}@sTqD=pUH68j~eQ*23QP%>aFa?9R91ee!LPFwR^tQE%k2{A9t8a|bYt*cY
z<V5MH?u?GPG|*~cei~<%?L2g^TI2AQ-ZqE6a-uxcxRQAKx-tlTFIRE&{~DGY>42ya
zfG+YOJ|@Po!fMxo>Uzae_HG#_^<&@c?B9%5yAt#H5^9j{rs-JT>c(#MGxhD>V=qdy
z{+u<`*Av8)M2Qq|xy_0C_5<E3&Ds;4(wsc!J3R-RM{4Uvm#%TCviWc-oT;Hl0~e*7
zD3%_&1h(s?R=&g<E8)l?)cTXNCBlOl4ad|w4xQq0FN`Y}UmbJkdSy`_ib!&)eme3<
zPRJQFDl4naRx;>&{!NRDaa;i;9<V^F?%i|mLNVgpL$b^~Y$AqYF&<4rcV<yq-nX|U
z2m2sl;WM6locO#nT%8_We0A^X6pouC9L4j;SGVG-=5lJ-s%o?}CM1W3zG;7Qetx{I
zr~9>W^W1m5*oI1cIL(-WZ(Kp5=?8B!$PO*eP0MOyGc`7J^JJ?-Nt{?(oyYjaM^DqP
z+~6yHJA5oBt6s{Zo9FA9VwqRI*eyesy1Hyj3AidOZuUh6pe+8sqX_cvd~X;xu5$l4
zZhgK%wf(*Fx{;|i2d<`OTxjS|qbxQkF7&>lq8+W3v32k-fdHCoBft8On`;TbnZ@(8
zT{fzEUlyk4R~~iR&awiM(J^L{!&uN$nkpd;A=l5w#u%Z7?w2yET2$3F*`0g_1o=ue
zL9F7g5T~)1mYZ+&JdU)*WwBc^k1gQrc>(4EmKqQxVq;?|Pb;opywe5Dgn1Uktu{|}
z)3g@xRRV942QEplmT7=e93E1;6f&VE_2sx%H^n#9j--;NAjI{pMN375<8v2Z?)Q?%
zXu?Y+hOZU(+`!m~uY+(JDteFPZ}M@Va*L59g_!aP@^m8luVQkD7VBV}rDxc;mFL|m
z8XnPNE4T<uzq|KM*ZY?rg%o1}xYDD1U1IWMJgO0qTA=J==~RzLjkG&C^jU>aY`_VS
z2FA@ab9F}0`~)LuU|h$G%)OluA$u|sr3t4HA37|>&Q*MKVr^M)xq&AqEX*$MMf2tG
z4nEL9mWNMLO2uxnwOZqn1~OiJ5E^>B^XE^8k^3My4}?)Z<||*D;~>2P*G*?oNl(c!
z3(33>r~G0*WVddO9!_et^%vn1<DCC#LXgM7G%VJv{8BM0m!%gK9s*nu>fK~W<pd)^
z6q;Q})Ao(JeeY_$q)q$?H47dmy!MBNr$>T%*pCqxdc%4Jz@(qwfd;XL3|YB9c@#5D
zz=HPxrg6n+)P>YMyjro!l)eE+B&@!>m?V(dsD_>>nqBM;Je0DA+nTBO)yt&Vv|yO%
zOCWIeHlgDE_w8pT?d0o7-<FV*B|#QEZun`hbi6MVYfcY;ekzN&-+VDDKO~zL^Pl(k
z?F;9G@!mMlN+S$H;QjE+=4f*yXdMDe{(Hy$k6u$zpo~Fo1TT|JgA?U`M;G;;t|Edt
zz2NE=#s*-<$buS@!95zlB7@V(QN6zs1&JeQ_yO?)u-58V%O)5C;>bvoUJ#;!UY(P(
zr7M$fF^ZdZyuTkzM9=HIq@p<E1L}}&lfJlJC6?+iMFS+)e`wp*1OhS@Zuv(9VqT*P
zMImDY@5L=?jk-v&om-)Pi@l#`K&jnD_(_U{SAlUGC8$vT4g$&WwA@?*P~_<;eh-QS
ztZZ!QnVFZbT)E<1mWck|=}(O5IFEVdiWD+>Wq<^kxhWWyfZ6rQW7X&Un6c7nahi9f
zmGeuZA2z<ulV>_Q;fBlNv=E@OT*~!AkTYcGaCORNjJl8@-SDa)4Lv=W6%=d$7;z8^
zrVWI&#ydpP@Z-@6SY3W}43-NP4kvYglDJ@WQT?Y>&`3#&%zT0U3T*_2p}u<6AJoEx
z2-@1(u%P}WMu?S_RcPnSNbr3YmggHB`YbWGRwO*&QW~hSh!6n620fr(-6#Q^KvIyt
zW_{LzTMvrNaMe_!+U*Xc4=Snf3sBV{fI!)Rk&lnhYDV&Sr3kK`Hc>qf2X(<0qviH+
zeGQ9PjOpVkf;`#6;&vxEWYz~Q6F4U0)$Z9-T%fl4a&P4uT(<<pv$TSOE`xV+j9%n(
zb920JA77NS0q@L0kIfeA0pg724rWU`_HYT--s<Zy8WueMGn437#3(+Xr_pu!wKNAS
zcT*qW>JM@c<uRu#&wz@;A*d*%D>s7w$6SaXCR}^qyAXH%Jm}r`H4`0#3Y>Z-eF)ye
zh?L+$4EqMOl3^KzhX!A*Vn(80jS#WmDP4TK0r1;D<5^Pi!W)Ejp)mtc3$XG(VQ<fh
z0cr*EY!_OROHtn<f1!De7vI2qgtr&E&YQ^93ESRl7w`0evi<yf39QE#uY61J6M)_r
z!6m$ydK$=`^zy$G@L)3kGYrZ1tzTf|zl$}x*J^`78hHJmsinZbF}|?s!P)J<tM+Sb
zy$YfJC_IlFC1b&pyLhI10x6hK@#xXp**FrU5UBC8#H7~0!i0p}&)&pnOCzSx7wRkh
z>{;73*M6JzWzxVK@Dw5BGA{UNcDjo_t<U-Qp+jI~fpf72*pB~wTzJ&Kk6NGxDYE@%
zOD=@$?;eWbf~UQh9-h$1j0A(1lM|oq^_9?cCQ!i!Tsb@8HK6iDGRP${G}<qO0zB2N
zS*%H~{juPW3h^)-@c__Jx<4t>J_f{@kuqCX(Xlu#ZL26i8O6yeK_DXC;7ud}HUegr
zc<e0rmH{dt#B24N7x3?<(t;VjgXnX~p%N6#aB@Nr2yWQn@C7(w7Zewh15#Vl##DoK
z!(+Cq!==_?AQ&%C8h|;Je9Zj(6pVmun40(q@gWpm{^doy$$Z@^2!ac8)X9KT0E(44
zPaHu#yFs6KGL$pF9xhP#JyS9OrPBjI_<8mAZI+0lz5N|fR<y2*kBwa@#zBzhyD`F#
z36vC6b)Sp^eJPz-FP|X-#%CH3N*aGe(5imE2Ka^oR=-Jd*~pO82C(j5UW9%F&JI+6
zc6v-7L`6={1Snp;Vl?~~0e~zuGx^P*yIHfs!8i#|AJoRZ%<hmzUx)p8&?^aCUa;GR
zg@rBc?InacSy|seecTQ(3M}8jwf-l`Vj%$7SJK^NX2t;fS}LwpVln4B5`u={`y*cw
zp&(xK9#*TdN($Fedt8ab*{k3Iv7|4H?T<P_sPJ%to#nw!fisx*2sWGMxz{d*#K9yM
z%qjw;IKW#7%2j1b=luaI6ns=XwFfL)+uMbJjRW)VU?L~2ZM84p)?yVn;f_o!R1_4D
z!2CtPE5Y~whMJu<nw_21@5@AfRr5uEr-rrkK?|-Fq*3XV)i#KSk5BJ?4ra$3rD0)N
zC19Q)et<|rGl~NrREVGOSK;vZiVjErqo97jB%rUbB)~=iTT`*UA_WduU@1>$f}Q#h
ztj6$FTd;wEm5#jymj1t=hr<E^UxvpAYa(3PV{fsr>^%J+-Nn8JuM+mY$X7t0qOD-f
zyl=t?5uT8<v0ORmegNF$-uz!Xb+W(=MmmOh1piF60+%N*ECu)+E~Q>`!bgF+t{Y(6
z?7pKXMfx|vyZK2Qy3NVi09XuREiLi{*Z3|;p6<NXD`I1@P`+3#xJxdIp$YIa?ArMU
z^#S7vCZquN!baBvV&MB8e`z8i4HSb9T0plGW2NUKzQozV3qTuuG4(xAUQw|LpQjoH
zB3&I&YCZr3@Le4`Qlz{gERpyvGE8-+d$g3?I%q&A#e%x>bwy!X4NU(4p&?eGJWKj3
zgFJ{M6n26KJ-c-E!HnM2fKAhkO{IeZR970n(fF43AQ&cSznAc$0YtNg);FBHTCD$0
z(z~k7J~KTHL1UH94GKIp0YFj;JA?o)^9NX2>L5!9TAB<tv0y6zNkVjU-RGPZFjKjk
z9|EqjvvY}F7&xVe)t3X%M!k9XZeW;f_2XnAdrW#!mp;oo2n2Jd7RIbFIIJ)m3_HMc
z7XqyJq$vP7z5#*U)gmB8wg8$G>CZo|RKQjQ8=P$?wns5aMm9DgMlAdL``v&h8Srk<
z&ZE(}7khp}gt8tkE<E*YqEOF_bewymepE%xl8)mKo459LNXT|v>@qVTv=ZwN7n_?6
zef_vvl8`{H<J2uv4ya?Nx?oEGZ^y9Ec;nU|uT>F4z><V`pB@!f#iLs;(78Yz<|LpA
z@B+3PV5-uIdyu!q^SBDH0TXemNe=F34w!oj&)4(?as$+BnBBfGkVk7%K7~^@gSUK>
z0rUo3V2W){$Q!U^7kWO1t(t;@{Vy7*H^&ug=q?Q02wBn#X4IkT*%$>CA3#_b%*Eg(
zQ>~A=0i>DSsZzJlzM0-t|Ie?tr4vA@4cSBe4i4Nrk5|h)xPs8^vzl0`*Kn9P6>MIh
z*>5jWLKA=;1+z0CJ)cwO6JXiP7e6JE(9$k%o=Eu^8yf?=dml;O*wh3Qe{7n4{+pi?
z0eFDe#a;-+UM|LlloOTOIa(fX3{xLa^N;q|i6J+@!S1T{dI|DUBrrb(i2SEP!=-XS
zsxEL^d<rv|fIYthcHAE@)eQiBDto35BsLO6UAgnCw;sVz60kNBgdN!=jutXdCDG^>
z2G}nT0Ui3==>VaCd7K9HR7?mw1?~>sB%r<Gi+k+U!$d4(hO7agWGItk6N~S>S~@5)
z?UV%sCkIEzJBE#ytwzg9feCh7DQw0ZkY!<cdBP#Y5~ElKCB(%Afd!=j%*4*aQ-)o@
zQ+GlJS^zw_e%v=VzXhn=VL<9eg5Ex6E4Ch?1Uxfj5}Tytgj!bd(pZ%s;I1*g5+EZL
zzA#!RXKW-nfR&;@+Y&A0zQvmCHhl#)!>GAEUcf4Ss~2WpU^&PQNmaS5(goeTd2{Aq
zb0)jDZ(txDP^5?&Kz0eKsk!JN3@A7tMlC(nd-`<R@^uIrh5#a9w*h_K8!!Sz8U(F=
z1LgYw{FI8n1~E%EBg{5}mGBY@koJMOo&+8#v*bA7E;T`dq)%;f7$)Sj@|zS|a+;td
zC;y!<?_zR~#vYKxgAIU%avo8vahPirp{NHg_Gs9O1<%o>=&uCJltBlbK4(_}aqq*b
zYt!OuE`THc$DuU=h9)7D`PZpgQKbo44t>1=i0!kyD=>$*H^PbsxHW+2OD9$vKqyr9
z8$iLYi!P)sfb#7R_mTjv8Hsegm4K)irg6`QhrcVGIoE(Y_T2h;6Bsev01~&gig^h7
zhg4&I^8ZV!aj74cM;JxHuAw&%Q$trb0%ZBq0rAkI{po9}=bog8hld&k`WWM$+lqjU
zH60;1E(PojhDN3TYEHE4m@^g39)bxs2eYr0NGK=*LHEKm;F{uFRE4m6UbwPeF6h&z
zPt%~e;Roop*?ITT1az4=A8HvG7$h0+RBvGF0Xq$qqR}n<7dCwibMh7QgN>~=o*6*=
zmoYJ61FTefJyR-9(rD}pvw1nG_EW=QI<cwmiNGs;&i_eF&~Xznv-B8l8BO-9`?4vb
z{4g(&IN<hl=VAVSg$WD@(<ba270Yr^t652|atH+F0Jr`FDGA>Yv{>)z%;)TEJarv=
z>~PuZa6ieH+9N#3Zpb*^05li<wGaQ?55YYWGs|D<et=GtIo^}+_&klkQDhDpqS4X}
zF!&Y#&jE1JCIDAclIMp}4I98|OasEz-*GM+Y$bO6yLU7@>l4qNg?LDqSwvt)9c!Wu
z1}_^M4q*4@-t`25O0_B;X*9hh_A4r1lIYu&UMDag7zn6De#IXesNS(tJh&rC^abGS
z!))rE3-ezDwi0dBy()oH65l1)Dzyr^cGpA-Nk04M58&A|z#oFDPX6EJ!fqc-N&*3?
zVE}D2;vO9_=*(|ZGEDI2K0dMtgg!WR=b-tyIc63X>AwybMiGjGIjEfM>?H!8Tem>6
zCqgd_paS<3HWJuta8Clc`?a?Xw{ZYGG_nqu{xCBTOowp!*X@9n#IDW{>b=bCSO#1^
z*y*(pUDz<-lLit&iUo1u2>P;KPeib=So}paPE~m2m6cjwG)YPM%|Iq1+NyFK=MUg9
zHi7Uhz|YT5<oS6iuo~i2G6?doxr|ZpHMhZb1CHWM&X-zgE34bnGc#!$uOra%6#qQ`
z#y`gyc(^^k%&!349~`t90kM#~><gMOYE0x1efpa$;Nf5+2>cs}-<SDC!G&S4-%>2&
zo&?lZ*hzpEC21`!t)xWBa{xd*xI)qFAO1aYU~2$w#)JT;{llPD2$}{i-@qff0Zx34
zi43AI^+L#i+x`93SRrZ#xTx!Lkq1@mU?Sgt95OX6ZH}BM2#|wzWxIf9V-1_QKms1c
z{%Ce9IPdgzb0!!dybBu#XEn)<;81VqU=v1h|Me2SnO4#p#4>Oz!@n=#X(AXU0sgyy
zz?40VlAxDI2DoI91|gTZ54igFE5GlQ^#Z#4(2p_+Ksl!QKzWrEen`(sFRB6p(AgjZ
zoB?b(RMga_0ozY*qSnhEkm}2No!3UMg;DX8o{oQb_!=sUMK92~U|fy1Vy1;80aS;3
z2Y?UcW_z3fL7>6o-q~TN&or=&-vX)h7955b7R+{5hVE)8-e7S6aWhTCMZ$~I===<B
zDM(`v<vPKDsjnFIX_cQ%+Tyr)sR`hYzB=zyyQRKcWiwP%R5Jh=l{QCTmpgfm!GfoK
zAw$gC7-9~ymmjk=|B;iEdw?XT6LagDbGj}YE)~zM3-jbX0hV=JEg9?r{R6Y}^HuLn
z0K$j+vTUqxrf>WJR9X2_4=M<F>ag{?^YK-oii!$}P9K0vOH-P|ula+(<8hJ*1@O5I
z0Q~2Rv;*Y$FMBh9Dv~6+6ZTs05LCA{P^ZWHRrIFyC}3`#Zh@vex*&BG6+pT#F22{^
zRt3V4J0QDcHC{br3_X^Ymy(wDTXj9=l}F5SfxG}5=4&qLLNGpt^FH>~pxa<F$#wi2
zVE1mu*PUQPysm3HP(85eneOh4-UrN3Doi0RjzhP+yx5OjZpeZk00Fq63?`aq=i~q{
z?+YvmleqYp3-$(RNeWQluDAp^;mvtv<DtMI8-T9J^4$ULZqWXgt678t$iepw4OxCf
z(sQ~;fHWeUEP>A%V-hqLHBhMQ_>S0A5ki0`i|YxpWTk_g7kz<&fT#&c0WAeIa?{-B
zbqvy%0cmp*CMSdLk&neG=<iqIq|DbqC+Js8i`~oKd4ROZzaKrsPgP2hV84Bvz_S63
z9-Xw-N6QO%pOBFLcXR_lUV00hHRbsmJi(#C-_Qt7X8xl&{}np@f3)GRI$bEvMX+??
z=4P6SLEHp~>R*8pfazdY1z-7}v?#gJMS9_%E8#Hjf5&6;WUwU&yok*HYj)TO!578^
zz^~x$SUkQ9PkFKU8809)7f<-`I~-rZ`B!qI0X%)D;)@UlPG<af$Oj7;T)|0aD#EGH
zWWUIQG{MV!_&9upk_1_Pk^KmOZ2`=UMUuR22Z>mChc0GL4-Ivc6trOdLXRLHzX&)p
zb5}+?FYGJW5yX8XMrdZOLPqZanmzYoBap^(6)72#M_;OgNRS#APn^Ex&{l+b_pxB)
z8#tG&{r5&f6ebSSO*t5OTV324%?~#6CwULX1^}?qpzDEL#y6e)-KRT=?bN*b5OC7K
z5&=^F#^HR*MIM#1lw04LQ4@i{Anm~@_{W!f?62jyzXO2u1qdY%0BJrF<Y@r684q-I
zJ^&zOlI9U&=jJg8UPynE^<db6k2MMnu|c2TM{`fW3<te)h6fu{ZcAC8d0kdC;O-I_
zy8%4I@cRcD>68v+1n&;tPa7#-FCfC8Wvd+Mrga10hra@pV-PbA&pG`UIwk9JAwxF6
zd%k;L1H1lj912>~f~P>&CNOu!ZHsWz1i-|Ximl<KZ1&&8<+GY)%(aoSFRST9>QNxW
ziCdxwGOmpPR#-)W$ncW$A)?O?WUzxg_7@cpQy<1v|F;#9Xdlr!JO=Bg>!7_2{53G<
zx=-R?y+Q%n`N;a-*f+p?F8~>MSa4O=G4)}a2eu0J>m@Kjz=Ud)+cDdKb}^_PY$j4g
zW!5p1m1PSDCW0I>eK^M%t9HLj$)gtzEI$SWzW_}MGa$MvwFiyJ8~b(V^bly9;x%d^
z0Vrg;u$iF&ASU#$UyngJc(VNbJmxDAf?N*>e)>@=SbL2<i1A*4{*uy(<_KC`2#$Kz
z>dw8PxR=;49RKmNy}bz_$_+St25mzTw1Piwrg-{&`0znrAPN0Fc9(@D0|_V9tAUXi
zEi#R2whtg7s-q>qDJ$~?IE57`QKrPC90?F|RdwxTIGe)e4LS<2qf0Pb{!QAlqhS}?
zkNa0fLDp9KhyY-H=Zp6$S{Ck+k#TTt7H}Vd^gHe4&Iz;0Ud;Me`ZeGFjR{~Z!Hx#O
zsDRpkzKsTJgmwP!mmD0o0dw!dnO&r3&}2_EYwJ#0WnQCJtbT%|vK=fm<cKS(pCRZW
z`=z+s(f?5&r<UK85Q(qFKe4OTrrr)%kBYt(Q6Hu|Pu`_ZEjEOtft)Zd^vf(A*cvS_
zyvXxkC?reK(AMaOkpFx@R&))dbsdXL97aI$^<p*hM2r&qj<P}3E+nv<C&m7mEFL#6
zD-_1Izrg@N1o4F}oSoB5PMjuR#{j=|@b{{3{&DjN@=f>>ii=C=gbm$0l-91y&bC++
zkOuOD4R{)#M40gSq*jZbUed-rGVC?jQ5MjXZ#S)&sr|LlVbCx+=M$|Z^!TEt1irz$
zll$nfIZ-+O4K{Uzn7X2zT$EPwNOAPv`|!B_`SvwdU*Coff8M<ldxxXqIS|}1m4u*M
zu)zTECBbRjcDX+9PxkA$ALxUFs*sCfDh)%+gD@kI5+|YS*+k{)sd-eD`RX}4GD|r=
zyrzFoyx!}`t<H>vMf?tQ#BA8Z>W*7_<f6PQ>t$6XXq_Fk`lWM8yR1fX)n3s02@$Wi
zSSouQ&uM#y#J=7`rRHQ}A8d$qia^9^!;v11K52v&GESj%i4)~<-@ICSl^P`D$Xb@-
zUYgSSp5Ttu+c$I6p+?*D_b`=u|I9)-SWE$Prv_eM=)}-@3s<0p$UNSS*YRl9ndVnf
z!<ccz?n<~ZQuLz_4t0cvtkp+uCJ!4i9_`rpFk#xel-@v76XZ|4{Dzm@k=8=%YnCDT
znY8@fKyA|AI`ML+x%mO<TL^XV;WE9NAG$@!uUbt-g>?@r-D*Xn^Ez#WG!!?lPc1qA
zHFtByzer4}Ew-CM$#dvtZEo;@Ic8x*?(%|-_-dJdnf2wJ0}Jci&U?jo1qS$9$6Rp>
zbpdV$UEfzAP^xPAym$@r0zILuYnX^U9^8E?oGZ+Jj`dD9QB}qR%~);)(pkfmxRygR
z&G>2TaltvpLuE}Pr+{O+BkOg5C9Oa!7VfyvRUvjZ=89o)lQfV5N9sy0g;a`P1dne^
z?Yo&p{p7em6By6hzIC|M`{@D(Lo#2^Ym05ylGT$jTVJ!Bfz4CG!(Hatii`%vJNu(A
z-pU{XB3D7$=m*5^+lH4q@W{8SHC&5{T2ik@RH@Uy;EkiPTwY%Cz}>F2w#21pUO7)H
zvy(;EpFb~q%|Kyldq~rgC&~HfG>2@Y*ML^Q)<(1G?9|zciZrmKfCvTJMn8h4@2gP2
zK<~A?aG^?@@#oK<dR&7B8OLPbiv!5Ge3?kb>@1dNESq`~yXGv>8^!I*$A=;L9H`o$
zXY-5IZ<SJ&l<aJxc1>lX>lk-tixq26wnlw2Ms<E#Ur)!mo{Ke!!oX@Q8Pwwh&Tdr|
zvKlVV0<lBbYN73f#Fx0`f^M%X25Z@<ai=RdN28pU#y`f~jmAsc`Yp98EBZg}f1I9E
zay4c8G3dx}rUIP`i{D?qXF(zLw*RM8@i+6tVhiKL67y%Ll=l(j0~lQvAmyNkT@Tuk
z4@$)1DWqPWIVpOyB~C8dQg<z%h?dx|a;D^C`h8ygv{#v9qn<aSXZfa^X4t>`<Km(U
zX33sAUf{P(2**E%qjZ>2wf0Q1Z%gip);o>dQ8Vq6t+}&2O44X?9H}WU=n@mT3<wHI
z;l3+FP$JOdQtFl6|7_VaviZKMM@N;oCQHpDyU+Y>Fi$`8F}Ep~LC3SIr1>n$_a}K|
z!mcCQ^Xt_FdA^GHww3cqWf@+^f?YbQC)HQdl7Bcm*XHu?44vDI5e-a5&>T|g^H-PE
zA-O5+*(p&ZuQwl^;{8OBZ&5>mt{8TpZyzuf87V+0aTSz7sQ`h8ML<9e#5I-gKY^AM
zIuWOqJ>cnrk7W1DUMg67aP_m!+v{Rum9(NI-w@YG=MUdAHy_94=kL&Mv#{QC)z-j5
zdnG3ACkpy1E`RmPgK+pDk-A`AY!CI3(Ztgky6V;WWjf3VS%u%v@B{a(2h*~(v@I)^
z1Tj@HNerQZFpdOFZBn-Mg5F6?eNY}=()loT(&8-gdN>hUumYI?OceN0g2*;|@Us`0
z!$iRmYn}y;&HcWztI%Tml`RVjQl*(Atv3ad=q1(uub*#RHq*rA8cV6Q!FRQG8n^XO
zhrB+zit0Fj(Ju4#Iw-9*?dieP#wh->F|>|<tZXwu$@yHma*Xl0iIis+0c8YjN}{5}
zR}#S3tT}UjeHGbaX@_A4LPQop!NJvx4<8y0XnZhJNu<Fqvw$`>-P-&t%mp3urx|Kl
zMZ|aaaR2BhY0oV?ywADqq5itqssBi;V!K$!7OO1$)%>dW_NR0!$%wM!`U-qCq^GFh
z)8(Uzkv|>FD~nOLj@^gUoyP(?X{Z}{7H*hKF{a~}isl}r-j{wazU;0Vg7)m5#7yNm
zxq^cG>>wrvuN`E2Z>EhC7w+xjrB~bc+s>qxvhk+d#1F-~$#nXKTr)sypk>???~<*m
zQlhf0)2^`mbu93a(wj{E@y;iCNqfhQ{np0C0ZjAU-X$FGc2B35YO)8oa`tLnOFY#_
zdUTt*RTJM=eeCykDLIj3EWye6UHAZ9Hc{%dJ|0HZ^hSe|CZpb9Gn$>sf7*wPR?uSN
z4FXYnc^N7PKc7)(*3ELqZ9^YW6}5`x;XjZj?-O`pWb^_4%?1)_G++*dhH+QQS8x8H
zH3WFpu;aZj3mY5A&>-AOFve`0@^Beldn=Z;`j$`lkLN@fXG@&gDm)ZdM>)7wom}<z
zRW`TDH>$5Vul<=@)G5Arrm+rH&0|USVl}p;bCN>I6y$2!4f)EKwxUt<i#3@7HIB!l
z*qf3$E~c-Twz{-d5H~j?9J1Wb+?hWqUY(Yi)7xZapm@C*TF%ghux;o}zw3f#kF6TL
zgk-0BP$*mN_jCGQjNdjcL>gEF%%O##GY-?AjwDN3Ton9E2;iAOV>bAaoZCRvp#VT7
z1sniMKmpjbsIU>N+{SohDfMjGyQc^<^G0LE62~^1(UBI06BU6@`vc24MTN{>vT-q0
zsN|AS-WPLsU2F08{#_~CyjbZtI7n+W3EZpk=urSW2U&Wm6#DheKq2o@hy3Adtms~O
zvS8WK8+$9HhJ)P9E-NI{?C-)}$dd+lKV32JeoiN?U{8|Qr1v1`;14bHz!xgRRjsy&
z$ao$q!%ahGN^bJ$B-a49Ret8P_49xPK_zrqXUa`Aj_XZ6m31s<o5akNw`Lmoba=**
zHl((<%0l)xs5U9tLd~tILRPE*j7FlDzfesNTLw}~=%BB(OHvTOh@?)czQ40{12LE{
z?X<vzNRh1zTP}PYUjN8mxR&H}BTxP=J!RI97l5yNGbZ+~G%|qq)ZHM6hZwsg9eYbg
z+K*(c^2#RTD3|vS>~u`hZ|7Jj^!MaC3}sU3%dgZyK{q;~oXp%@Q#n>Xc<^1yXsDWT
zmHh{#9G&GbeY=wN@%BEEP~0dzYR=Bk`1J7mbxzU{4oC_+ebcgy)cJ>V@{fKyW>jqY
zn0(%7)JdibgxYD<g;0+WQ~M_BB9D7>-FUQA=F<9Jp@baokY7$v_UAxM@3Z-L=Q=TJ
zsn9oew>Z5IwVby<{As%VN-GH$5~As*{7myvGbo-O@o1NnF3K#zFG0YENHoBN|4=BW
zF)dms?DeNOcC`7bi!N>ae1_&Kl3G6q!=&%~WejY{?)z`D&lyjbAHP;{C-_-%Q(6D<
zx3?{npo3uUm?VlN!2pGU*^jOVO(5KZ?G($)SNO5z`BG%l(yoLm{xo}5g3Hzi+Apr*
zyhp|$tt<>RU3M|34T4a9y^r`HCbigfz|T#?!Mk*c9JE&OHL~DQu!D|{*aeZ*J83ks
zed#o$yy*j_Vt2#WXc>MGWCkjSqvh^sg*}j$x<jTMeo7yd{_yJL$%CA(<As}2Q49;?
zLX1>4o}}G^dib-mC&E|_74)|EFf}#j^&D@A(rSD~jFck~HX2{$|7p~j+}$BSNfcN)
ztqTeuAEee3T(?lg`jp=1<+965eY>-rgD6e0T@R6p1KLy&DzwF4Mz378P{z7iT6`@e
z4qH1~uk>p3%w6SI<FwJyQbw#K6vpldIV@`*-AJO~!5O1tiI(4Glp*Ptar#)EX35yE
zf8%|e5@gbj`qR!86>v#`R-X?8^sVAVG5T;PRM6NE+Jg=fxyW)N$2|k$f)gtNZRw2e
z%YA(dWzW#;E4<Jn@Y5gR!XbC<`F8o}>JI)-YiAx0_5SbiuZTjH5Jj@2v{)(;l`XB>
zvqf2ovV>%pHQP|?bWY`za1Iq2YuPf^rjF!SonmZb%hFgHsiY9@>(jaSaqj)y^WVMy
zRN`x9zVrFMKcDaC{d_$~Z*2OTxJkO46s<<Id253HvVA*+pCj2595%hdd4jpq**`#;
z>NZTOKU?_9x0rYND932vz)OLHMX4GuABnC@6PDT|9QwW9G^_Vs=(Js-?&t!Mq6$g=
zxy}_~$|5BU;aY(!c^h6eep&Y0m&!b^(rIKxKCQS?Us62rc$Tr?b(-AuJz7Y02#X<Z
zvp_=9s?#F+qsuPUtrxyuj^v?o{BpL1*4BHS>vJFY@_ip|krc(Z|7l5WWtDzL*}hwO
z!AsTrbD6KzBfU<H9p82I<C3<KZ+!d|erM=x?O`n&{bf0R!6K2F+xfB%-8XR<zSLi=
ztz$D8=KN^dTW&a1YX7O}7sc`~Zj@hW%yIL|t~FPcF__!2Y-yb8p@`Kgg6!Gp-O0ZD
zZ8wSLgxSnj=F7U~EH}K7?|xMXe`KZ+ekZTQzvAbw)R4Jw&CX!kolHZuwQJHTRhQc_
zB*tR0fSP+Zfvr$Eswt>0FBmyTYdUn}>ZC%$_k+w$4W3BLNA!7G{;u>$Wl6IBJcsxl
zKIV$gkF@ppygYqS(sX}8%&N$mPmJkTP0iT`vciV{;`L8|oi+P-lyg%ez9ziQtyZC@
z_patmIu$8iq~avfATyJ8<jeC%g74%CZ>+s9Tb|upDztyR*U`zv)6Gvi-}!1k$E){c
zLTZYL+!p7F*3d`RZ6^#;(r(iwt^I|uwcfWfjMsiwDzB<3Vgdcn4Rb6r%F4o-&y&3C
z$I6$qu<5SJiS7oK(^8q^4UEmT`?-7UHo9^YCeP`oEJ}IV>Rm}aZkW^+_13pMFl?UN
z^s(?*_*-sSTk5t!kLhGj1@3V1xKCw9#%F_&34`wXXk%AtrND=B94@_9Us-ALh?O0m
z5_#knQQCuolSTWw2j_@R@zNP<Rz#l-866v6wA}S=eZy1vlndGP{!*dEDa8rXTP_5S
zj!AYF#+)jeC=>D;uRl1YEjjfYcjUt2uqGBOddo|mKa=c7JOVo}bLyx5>^N^@`di`U
zle4pCISG{>5=u%M>!>~5Ug<UlqeY<;<)2w4P0cKkC%Gb<I&C8c<g~Is`}s4(4&*U<
z)m!u|pT2KaIVf<zZnd#1YpGgSS(;Plc>USR?~S?xkIHIOn>734tgjz&x67Q)-5LFc
zwQS>fR~Mc0RoAUGG<S7LO4d#6cRi+5jgk{aR$seszN*m2^AVkDJ0j$0&De2#X?Dnb
ziAuAY#tTtxIy(lIdSn-#vGG@IJYt!<+4^yONXhRZPFCFMI~F%T#V`ba(_wcdy7zdn
z^=1|A4LmLD$NNLlid^sC#lEKGa>P3uTL*HpsBt^}4?=cXW}QCbbYI@7bA}B;qbzHq
zG0DoY?yRJSzzO405!+4+M)^_cBF(%0V!kP{^!PhX+H`Z(t>$}*{BE}8olf5|GD{QG
z%89sI^Al|j4KdCuQif~PI=0QosWz^5apg$pS^nJqf+=lHzdY{#(WhFJFNbB$5xl0s
zSy3jmuG8#~Exzlf8l<?nIYC^B13c!YQ^~Vu57Nb4k85lVXmHB*@4rPG05Z4GxoyCe
zrLHEmIjl5m$wb4xLAU&~=Eu$G)KI~K!YG-k{s2MG@#FbH=Bz?~r;2ZfD?a<#xFqLg
ze7$<ZF!yd&j&I70J+}CUcyOnw<?fTiQ+?d>&JuqCGfwmE)QZ8wUrO9whXx&xT3@v1
zUWtH}+S|5fb*nJCYsw9}%9)9Us)c+CmJWN|iW(b&i;A1su30ynG^4~1@sj(^cR1xn
zro%O?B>Q*jl7WKSxsUJ23;0;NH+;H9_iD_#=&HDPIA~z8{Fa<6H}a)2#qQnRyz$`M
zhx(%{G9|=W%6NHJIzg>11vASugYRE+t{7@CFUiy}-^w{(JyFk&zj9;s?~M3V`p8Fn
zxzXvt_%BZK5w1xopM8Dx4D(y7P9KYQ;NPZ{6^k%;zQ<Uby}53okAKjHWjWG|T9#2<
zjpbKsl1BFWa|&AX7zR@slG}_F*zdXJT;4}Fo;&~6cHe@>XGBD_<m-I#Xg-{t@?2{2
zyx1t`n0C?XUo-O5ylqpeILrxVQhY{RVJH9boQ@|W#zrAq2i$a<4<_8mx>KUK+jOp`
zSQs=ju~7z78_dcc$Eo&VKIzVXU7`Exd2?jAt$>21l!#?7D^^|8bM^L_cEP8CM>}Kq
ziY6LMA}jME_SFZ*)nqoYngg3M`o#~mAl+W=kS;K^JgCB1H+8?CY{$oYhx=ZkA5s5C
zc~?`jyGx#aYT|&Y4ccdy{>Sp@haX~jdx%cH<9vH<o1R!Q!#(pj5m5KC_<f{BPPp>U
z@a(nqqbjCr4LE%PI?JY98e>>1zf^<-ZMYfUW<6t|oR-h|Y5T&3<td$F;o8xOx8>?1
zoZC0m8`Uk*Uy}CzOg+!0%{G3fa!0=!*{1aCuB=@c@9L)Z${M++`rxrs9V3H-z9m%|
z<E-Y8cl7MFwX>%exKE=u2R(pBlUSO+)II&B-9y`C-Y9Kmzu8}XSgP^4?y;5wA6^6(
zzA5v}VNZA0l(7xg2%*x?wRYF9X+K>Pkf%3mAawmJ_@u2&b^B%CZ2Z3L2^sn%cztBY
zur}}aE{}-z8EZ~X(^L1V>5dmGf1TR<$N7zBoxhlv=$({4yDh`w`p-|BSD((O|Js!G
zYudM}j%;?7`I_lwqv1;P;hrYFR73N7tY-mv{N8w`OT^%!5Ni~)-`1VAUUCmh*5X7Q
zEmIym;4!)eN3<+UIQq?mO+>Co;KMv)7Y6Jt6;D9h8{eB_m6~PYYE`FKn-ubtyTe3s
z96Q0yLk$y=t^qSmx}ERWc$8GrHCWzCX_Uj<KLr$zpuyGE_;pAZ+6%I)Ic9;XXkrq2
zg1Q#hvDf5_1fw-BGvXw^vh;>_^eUfl`1*n*Vj5kJ5rQ9SJUHsZ58R7%OlEoqg~3&k
z-plvehQ(;&3x41o;OztsN~1aUpvQv0pRFN#ybzqOaOCZVdn6LT4um0dz=q;a<jPE3
zT<)_60r$O5-zkcT7@b>-9BT(`v>Ul@#6HH=V06B!CWqF5rOFGN78-8OtA*ty->Y{A
zL?_R<K8eT9&G#E=k2{?jvIq@CeJt8vSB1@XYu&=bXUaPtl#YNFPY&B5@Ou^w4GW0M
zBiW-T59`SmbegGf0zQ*w1&m2&!8Ey9|LCPFDcuYZrzNAOX0l^PS#ZeUo4Zu_`41J%
z;5G9dG?ye0dSgzfK3+`PWc6|ePtXMLi;v)3d%!>Y>Ar-(iK0M(i!jsE)4j$94kb27
zNlT}fmbQ$a-@Q97HAe-9{+xkbd$c}<wjXNOx5%^QYQ7*1LbThLpgr*fkC$;iiF7u=
zy0pk2XZW!~7L(IibNIvRaAKhZCfad%gMBr{epU7TlMooGD`<6|>8kAD`f%AL0#sjr
zzpfb%I)p#nx&=V?`Wnlo`_y_qyt{`ov;2AT0hSOb?4DQH<lstR70ckQYkB0oa_@?-
zbZ>%`4K>~m0NgeT`QaQ2BGt&YHtS0=>mK*}0JjlYY1KxMbRgRj4=j0Xn0ByWLB%wD
z_Tx^-W!!s@ovTwJ+y%5<7L*~Zi=*%k+T#wK=osy0CoQSY<mOsH$Vm092z$7zf{y+v
z(uc^9_99^hjL|3H#Vwb=JDhB{uFxqpb;kSkq$_MZ51OMM0tdN*WW}%(Y!&=%FFI=&
zID5-Qi5W>eP{olE?(|^MzQA?!@MWF-3x!I*zV*~(bx_T&ByIQQB~du?@li;mkT9!A
zxePN4Kp|xVgJozg9Rw}y?c>|`Ox%atCPk!~5Ue@s#A<cx3+-$7{5^JRt=7iI=@n5#
zdI@M`KA64@lU6)q5jFOPXj(hzC@W;E^aGf)?Ov!<`pQ`1tIfb$9J?T}YU1$3!yXVL
z<ofvA_xp1snoF=o=GR=WlU+aZ@XsgHi-LX}n56fYh)41iX?6ai?>FWV0uJ!Bf?HW@
zTi)`v2$CU1r~%{Cs^OW!$o0MVzj-_QpaTb9CqgLT1o1!=B`zKTdN{4Hu+d@5NXewe
zzX9Dpb==9{_z$uvkzU9H(*Sy*^#wvM$GYe-M67auw4%)g6YQDKb-+@gqS3TeIdeSZ
z3kyFZee7(6yUf>{{1+a#p(m*U6X^<yw*BIw)|h2_KD$s6NL#$%#8bg_Fi7zjw)-^f
zEB1Q#DpiA`IWS}5Ah3)>8{3Q$0~(oFuzEqK#DOh}MDR#3qBv+{FM@9|!!{cBdEI4W
zr*dW(uz}5`h|M+riouMP&q(`Gd>c=61;fQ*m9FklQ0Tj}tqP2B2CcN*n)brW>Gl1a
z7kd*fK&c(+hX@hf0}qq5mzNjNpw96iXr*9KT)6L+miWa*Y70T$E`$dZEN7k7-TY5@
zHuHX|Tb`Dlz8wmvGt5WOkW#`Y$xmThv<L0QTnP#dyOr3_QBhGTc7V@P9N#JKVi&q7
z<HX6mTP!QP21vrfZ+`$|BQJdZFLjPn$#^vv6B48VC+1Jv9zU*z>^YH<KC!sULZRiO
zh%I!!ViZCh64Vpu*_>rp>gZTfVo+GdpjmZP&=9;gOB+_8-nmrl?8Q5IWVeh)n@3z<
zv?otYY^Xl{hM42k4z8%kMEuqn(7OP!<vTBjiP`m*j^|}y!|Z&pK4#|T4$z!Z;qZc?
zkaRhebyl2b+h$bb;x)#09M>NsDd(Sg{9R`jAMNLGc*D8F`skqwQl)s0+<S?63>MDR
z;7{|ZZldOcy0^^#gNG~!x@Ue0Fz0GjuE<U@1>nCg6PK|t2hW#BQ~2hKQ^N9FWFiGb
z|A?9|VOG0p?OJGje`e-`9u}pDhKn+EcXv<zV6y)&E!a%LJw5aYObOR2v*FYw3`(16
z0!00dQDR%xWXCVhaKL}6#jXtJGDN6+bPOoNprA5l>Fd|8HwBHUQr*A}0lfPLRAAnr
z!aErL0%ffZgPrF;JOw|K55KEko>!_1lWGY^&Q>};tu!Rtwql7+`&nL?*oeieb>9l-
zF3<5$ROMs1QU+QIlyUUd-D)dctzH_;21`mxc7qbT)**SWcj`k`?V7yu3(-Q-O%suc
zg&XQTsKL{KYvmaqA)X5-;3-sR08vEp(DD_51yOZ;q~jutySQHU$}3O5lK)YhDGFyB
zhFU)v4xmWiccvpQ9iA5dZDO%8e-%HK6FQ7%Lp8Q`&7C`!cI8Uq>*bS2Q0+gG(hl+(
zMZ0hTbi7+B1r3c?zo(f2fN5+rqYN?Ni6Jz0g4<F6jvQThs$|P|TxoNR=e3_@E)Zdc
zO>uRw0?_q-M|JCe-Zj3PCK-$py%5)S$<~yhp;bJFDEsDwSu&=1OH16|dcH~fI3T4h
zwtHbBuDv*a&H$c;B+8hQni`>~ngYp1(z{*Zi>bSN4qjC(YSRgXJA7?RY!8yG89N^<
z0J`l#`!JQS`*b>%Q!t*TRp*)fs(Y@F#$0y>GRHJfziGJmPvGC}r<bgwer|z*GZ}ii
zPoJV{?8PwCO0TiVhDXVm>!$?xNemFv324*HlXp=^nReK9eu`3~`a_Rk<yFNBYYI7s
zadr{atJQ<|WY|Wfxd$*g@=@zRjmOR&!HF&Q$}W)%1a<CSA{lq_;=>A$io3g@rbLRX
zAOO@VbL587gI2q_Yx%z3TqGQRX9*Q8b^@yuB}GLeN(^!VGHiTde~J*m{1Qbe;8i`r
zlp4u;pT7Y?4<5rW4p(q$WH<X|V>tsmF$#%i<;1=BE27mbXEWg6b(H1c0Ai#@*cuk#
zd-wFdzg3A6>k9syz)i_&n)1Gpm?&`G_wfyHl!?!K#f@pzzM2v^`G-Q7Kj!rRgQ1?x
z$wY5|)e%|3$TU^du+M?=(1=6WY7!c%Pj$neX#(vyD6cWs72+Ee2y3lWN7U@NAkjNm
z${*<&mRNG8bs<R=K=11zyGT~{B4)b9ps$+g_e~lNNiZb36j_Dzu-Tb!7{NqM-x_n;
z$w^U1M;ghY>n(apSyu>7JeGlNc4#h7Jo`zp*nz<3lG|$_sT@96rXMn?uzo#CK3UWf
zukZ8c@Z12fz=U9gw1b0o5)Xyb7!B7f+KyBsch1Z>+mncy|61|_&->S{jrIMX@Q4Xm
z@99PvP$d0$(83}HgxEx}5#Uln8BHERc^m~U+57pGK`qvYv8c9$KP8!hkGL!tx77iw
zf-YaL?a@v{Ao3(0UuLu4TB_P!(;nlV&@%2VfI!5MF$AcS_432yaNbVTG-3zEe0h?@
z72e#5tM4ZuCY-D8$wX`&iS^9>{g<U}kj;r8Vtd-qFTmRDiNqF?)YsrHiA~$Cs*|f_
z7yL1r`-3j4nwg|Cwct$_CmaefhT~T;0mBsdajl^froYT9EtLWO@)Q9g%4$yfW@xPk
zU``xzL%C{U_~)?)<5a&BI<wCan30$<Y6`LVngHEnfBeAsppRr^wX+sRC=i*n^73|v
z+tRiHJXm>?&jip6{T^`4mu0TbNrWYxz{yy(%4|BTfPC3IzloxvB6a4SI>!gTJ0--A
z68J*56=))Nd=(-uNo+4WBpAxa-k1(RL%j%iA<kD1mie)tzxX0f`k*7t2`yF+&IBH*
zhroF>apnB;Up+`MD;_zykxU2P?=B6wLF4V*lzo$pd+l$8343tF+BzOiSx9{CF`VFP
z)Gqeyg18(70r7~p<juvj_2a`7KwbL&A&aMs;f9rNLTcE|Vz@)g*?y393h3(U5@9De
z(W^;G!{^$G_#U&cZ;UinV!*j@i{-;ut0ZVZ?!)}}MddF6pAH6zjhNVW@L}pz-_IrX
zetq960o0hxx&<B`dY2Y&;D@=`Pv$g2A867FbcRm3LyWzYym?)-GybeU`6;a2curxs
zl7J5!l03y89Ye+O{y;r@u$;)u$~q@AgOv|Ok+pw<+W`}YZDQhAv3em^9I9s)U7#~e
z3{q8!20i_w+v*!O9Kkw_qTybLhPy$b;o4y=Vn}^O)TkgK44;(nI`fb+$qB~x%fpvG
zPtoLx{MM*C$Awf>nra$G5$SlVC)(NCs$(TYs^robe=P5O2H!lLT3}?dK;DyYpGhO-
z=;Y*pny|@tNRsMCVJ58VD75gcBRXLFpOOeFe>dV*Oe|0B8GrVX2^L~$nVG-H=O62J
u0FJor`G5OBj{homsGa}*X&&!pd4{;O#xr`WnE22VYWMd2Cb`D;7ybii^@-{L

literal 25702
zcma%j1yogC*X}+bAq`T}p@>K;A>Ek7E8QU7-6?e>#Xve$knZkATDrSKkPhLljqmsW
z_x@wtJFa6OhjaE`YwfjWJaf)xp0^5evbb0jSP%r^K7Atf4+Nq3LJ(pO6CJ$6GcdIT
zem!=SR&#u1W9;anZ*K&>)OWPCv~jdFGoW)evUf1Ev3|(T&;E#&&eYM-)<J-S!|J~-
zV7IY1;h??C=mZA2Y5PRo0fO-L;U7e%XoeXCy&iljC9dR}us!YOdCTciba(X5y0knq
z@s9y}TC_diA76<%6dvDb#M+WaBb*+VmX1Q3CON^%bZrQ!PD^v8>$+=?S&>4QLN^yk
z$4)1U7BW@47Q3>4&d7AfEaEA5=RGr>zIMh)-VcvO9)2*^@$xZd3L%j2MS_0}L2}Nh
z@C)V&a_BAm1`aA6At9k+fIf7Gfq@}}6USEy{38rPyo0Z5;)IC6$I|5JV&Ky>%x35b
z_>@@x|NG`BmY#UN_Dsd}FRUILL*EsMrGFGPPp3)-_m|t~-nn;AQjs`EtCHwf?J*6p
zbYtP`c9gmcg-I8$vjg#D5idhN|0e?IVriJ=F28heD0y*WV`Guw;nE+NUfOoCmFw+H
zRTjmQ9+9$X1Uz<Fd1BS<bvzwh>v3$*7Iyn&w;6w+)Iv35@z43}Rh!4J+6?!)yLa!#
za2sI>IBf)+oVb4Z_H7|6JFn?=q;Sy1g=e^iyp&%WCVjw`3_%ptWVuZ{F5i@ISQyTf
z%dD5_P$ppnt!RWz-6?u7K5bim{iQi|d0HBZKq8)^qN2FX>d^OBTvij00w&vseG#Yy
zHnVjpN)rk9A3Tsu6mZ(@e%PmXcCbD&KRi5~nUy8+;zd}g!07i^_lELyX?49%zqX&M
zC@ZIGmRq09UR?&C?^NTfYCDlUd-iO1zfbgaPaKb0nPqJ0593D^`j03GDJdzD$_H^@
zwarI9Wb!`ju!aabAHHtG0bBa|cxU>_)2D?V+ugAbo%>!J7`z!P>UUcIdAFs#y~{d?
z#iTC@&6na_C4W>hfAm~v_R|B^g<x9m23cCKfG9@UiCPsMoroVlo^3k#H$wh?!4zo<
z&Fp$<n9e7=`i@&;g)(B0Z%N6c>eYx<NTZkWd?P!5cP%|KP23+H%-bl5FB|~wCMG7H
zoALN1JzeFbSZ=NTB7uJ(?~TjW7#DNMo6ox5w~I~sWQ>iO78VxXefZ$-b$;~S{HiGs
zd*JJHvX<7?RGnIPauH8{u;n{;RW&t2LKnNurlWb(@bz(VA=Nuo*)m^yiy}13EE}8g
zMZ>^?9$8Hcot>Q>ZbpFtTUw;<+`UULC`cJf%7&ts_b6Apn$*qBO@SCKBrU~le+BXd
zixfKFDqj2f75n{%4}`R|k(>GTH1T{kWtw%{yzZO1<^5U84_aDU=)fq|F29_sBVJ|5
zNrOd0bKf(PiZtsMAN#`M-6wh##->@OHo37QRM{Mij|#aTZYVF7j*Y2-HH?=w?@=`r
z6>$rlt)*w`){79`y2WMMPnRI%Mii2!2eg9c+n>WxT`uz><}Y8q&^>;9J6$$X#?0*d
zv=AAqnlGhI4WXHt8S?F0aTOKP8P`SJ@<}A~`@LE2G|cGO*tgVz&U&+TUTZ_&KgjQs
z^I20-@R$df4St)Cx2bE?w5bjJ_>tIhwvPJt?b|Vr9hgRPHG@CvxZeaq*;IQxW5M?a
zgVxh`VZlJ?cLyUg2S>Z;)v5fH>tgs=wF?IYujQJ3<wN7{2GPqs{H2wZ1wRa$hVfz(
zE|(pxgPmzg(TiRGK?RFKk7H|i4)E}@gWq1-fn%=OYolBn%)meTH5&=^Z7lo>C}cX2
z5!a(}6FVS{&<cUm)t}?^*X<E8LT=pu{PPdEKy<FSPo%jcig6DpOiDok!9BTzhOO~p
z1a$M}O~^MbjiEbPl$KE@tYNJ1wW5|*n9GbC#-Fpp<~;3c+hJwZaW<cUG-+mb_BJ4f
zH>4FgEk;<U+*T9$?U#^U?5BdiYHr=Xf1g~`TSz91+;7sRe!9w2)?uZ)vBGZg-Me?b
zCP{AS(3G{u^MZ>xfBfC!`m5>9P$8LciombWKQAPC?1%&HDm3aMJ@_>{yL?hvS!p_u
zhL+@W>E;QZB}UXo<mb<yy9=Ql8trb2;e7ptuVry49$}*UBP>R8U_r(C&>0|0<JOXW
zL@0ejT#C@5IS5xGe-yh`hr|6~jh;y^f%y{HtB@Z*eo!nL8yklJOVD@b+4u$x#dmEq
zKbbT3#mKy{`vE~n8WNmT--y0Ux+0K#rKP1MwP0#tcO{6x&dzS3<?XGJc|n&QVyNY0
zZ!x#|+lyEROVPXtYC)z0_u3e)*FoBp;87mnpi73&M?8D}+yZB^@O3amCvr09PqFDb
z?KFBbeZZ7jM?rxO2&{Cu^|X|_dhE2PWx4d#<sYC0#^FY{!)1W&)92e-Xbnx%Zw^|x
zJpWaWS8SO+G^AuV--NcgtDLQJ6EXnS%X)N>`_FTZT0_36A|2UCno_*YvBLD}OS_Dc
z5~UK0Q8|bJ7<YrAOvQynml?tg`Q$vVyu~{3^uKOEdnb#Lli_?oK@eguV!6Mzm6T0N
zVbTZT+-CUa)hmmVPQ`lfKT=)MY}-N0OG}wL@@W%c+6_{KThW@<jo^_vfw}=9!YDTG
zkpNfre|dT<N2gX}SP1xu*Q$t(kzC3E0`iB(VNNkR`Ld&V+ICAFQ51vtG(zMr;~o`?
z)E`Y)4CHF^<!F}oE_18qs3E{9PEBbg2)gv1!Jc8F#Ozi2gJB?$35Um7Su6>nJ~X+S
z<ucEnVbxt-o>MGFQVWjkBvgh|@}*T&kOTjfWoPFfXAV#2==ca~Fyx*G#*dRCd~KpM
zdvJLcII>L5^1Q=SU>NWrxpEUuU=;ONdlOwZzGpx&*{QGF!o=O(1=_+XgF`~FJ`Z{W
zt%AChl{FXJ!W|y>Bwt;aRIiTe`Uv+Xi$(&qspeHDCM8{%s&we+>}&*PUO`PQ(|Z}o
za08W2F`%orw=IO^f$iRc^wvZv_J@1&GIn-cLAaDbf6k9R5=0mon|Ivo?YW^8^<rb5
zAl(|*!nOmeiIVSJIaZTp*7*s-j%x$~1g3-Ea48;{>K&gff7UhEYFNn3$-(IpIcJUI
zu?UKZA%}e(xIj!?+;6a;KTR6DdNtZ%&U2d=!}oaBhc;2rMaI&S6&&e6ia2VHcJ;{m
zZ|d^GyEp=qNsaFl62idb^FZ(Uowvwm+*YZ9*x&&_ECAH<@#n$i<z?}V!QruQVB?)1
zhsPaWoo(jZ?f398iipqvr8n(QK_q#fnL&Ec9s4({0N6lu0s<7{<KrE@y)u(!R$T4}
zrmUJ}IIq6FuoFzo&VHJROGYu>)@sNt4p542{mi<(R^p~Hm-Q4st6BjRDSF8dR93(C
z>F?e7W_|8h^DrAt?VnBH9AQ(A1B6Fj_>dUbgOt(Dy^H-m&E~Ics*`Hj+w1w=-7ltm
zuKtj78)9mdS-y=FIqTRddwBV~<PydfFZreej<zQkhgEf@fyfe2Q-?ckj_4n4jmsV1
zSN!rCx|2r1%7-oDw4v1S*=emmm7*DsM#!|*U^rGKS3?}r4*;SRa4tF=4yV7DD}L3T
z@BVm@uNM62^XK%G6tUrhT#Zr`Xlt^(&uaOHvdix8<*tDuqvttlg-zB}^7?}BN>0im
zs+=~{fc9GFFZ6bI2Xq=X4W!F%XVsS-Cmf7`<5W;o^c&7rom9paPQ(%;?i@pVLEOk|
zGqY6^V)*z9SYu~|P4kaW5A1#~J>A>~f5O6Bv0XN)CFii3=mJchVC~})0+iLhWS8m}
zwK}@5t12B<)2ga8l;h8jwnKsc7P`9F2M#H}&@&W(wT$V==#c2`3SiS(fJ!T|i4rU<
zE-GWp340vP0kP%@T3ue&2d2q-mJc`tRK3d;Ld{Fh{jlO~bu~348aC;P5U>joBmhqG
zf+PGG9c|F@j^1>(PMGDvgF>%!XIAy18?ZZH8%Rf;2?Bm{v1&7~S@-fcnUa!{UT?zV
zCof;N0=ud$HwbXSi)0aMpeJnrvvRub>fK>tS^zhmEPasQ1)js8Dc~l11}&!^ByzDU
z2~Zj1g9q4x&RY$u$vzRlIx1VqJ$u#!Y|>r>Dn5)a7-b`*08}b8>7xNFTljN4ivc;V
z|3rHp&DwZNUdV52%ks{hJ9={se&k?Kl^iucddZ*^pDS1fnOAz^gL86NKYsk^T8`lP
z2_O{gePcwt1T@O6!vQpc{kdHGbcG!w@B?pv6HfIw-g)xmNdqthyTHVzrKL6P=y>-=
zKXhDE0I(4Q9838O`pR6RKjfJ$1%#1oU|@ip-<FQXeT^Q>Gq+tnE2E*Ip^!BuHIGER
zV}4V6@w*E^)Y~w=D4%i1{`BcnM@L5kjLqt={`|83^)=%Y0O4c+FT?&e_MwUGcIoH>
zuy3;N?p2fPOfTaC%B&_0fRxAZT2Vmzf%gC?Y)ujOpOQQ8^SQj`UQ0vkbwK!|t7{-z
zmBaJ$baiCoBL!>+H8d!6T<6h*j;9=uAt4e#e7L+XTsQggMK3tLFZN`Cwl=sIZ~CEP
z!2aa~?Csu4yv+hw7DrK0QGxBe1W@}I6RIDD0UYe;>T1qWFIE89A|Zk5Gr|_=7mO!>
zF)T0}WYVgzMF3@NEgjVfy_f7s#5ZN@KWXH(+lT@Cfy@2mtGN&IB8@$Kvtf6iN2dV6
z7x6OEs&?Kk@I1A@`18xBJ>cf8{!B&2i)9WUa1gk*05^CDi>5tk_=Up6a36?v5K!N_
zub*}7HFMKDb{8W>7XZR;17>9}L-fy6X9uLYa1ttr!^D+UR8(G%B|LUW8C>tLcCoq1
z#t<U31x86r0UAmQoTuQFZ8I(>IgVPrx9~{5ZX|$u1#N#A-!gN;5gc=-`_a~0;FA_A
zSCb^4KE27!&CLmn%H}b_EycM#s()iXhyOEDoPX>q0#HatU!SajK^l{8G8`~2;nLp-
z2@M^nuzS7cI5WCW4tc#xPVRd!45G*<Rg3MB=>U=H$hSjlFfxZ$!jnFJyi>^o2a{$Y
zAtC)a>JKfL_Egj`8od9U&1dJ=Ntl`4Czcim=x7hfXVo7fH^_D2?Y-T6pFgl@0W{pW
z)cJwS=m+s|SE=JU)7`sVaHtyfs4gjlbcD>$^LW~YoXg;bN}kr+)=;waswxUp47?T~
zc3N`#;PhcRt2kYWFEs9<Ff=iF4PZE|yKlzqL7>avW<Kl%`J67385$YQgQIQ+@Gv3b
zLsXO>aJC5|UK0YW^z;aTsK@Gk>a&)KNl54cY!3_!%z+o7*nb)?-Bg7=rs(Z00#yj#
z<`xyD1+$k>jsVpJ4z_Fgk+iflGYd<R2nRd+QSn!J3x5yAL8gx=xa^mn0Am8%CieF1
zyu3U@g2BN-0JG-p<AA*A1C$e2`U&3FZyL9t{F>j-V6Xv9OTXt#wrYN!BBJ}pkDs28
z;UOCp9-!y}yK6VsfUuk>xe0uob^Gw<A-~;1z;po!X6Tui+Lj+hsGd&*iNgWD?X3}2
zMEnaT$DOI$qE{CWVVRk!_3%jeX1CZjR_9ecUGS^^iiS<21XJlDoIj9w29B&ZQSkMz
znOfJwVby^GeaVZ1LHU#QjAUCF0rCT1BN0g>oYR-=wsITDDmr`&z`68i$kPHtq6Z)t
zw~8N}Y*=eL<K@h=_U1S4CWlcz^zQxpHz1r_1Tdzw?y}{U{2Xj8l$Afp^SxQI(u4Pa
z$*1^<8ittqbwc9rUoMDSAY~DC{Qt^P_;K6c(c_HqIeUl~)#gf4fbUAeNl5tJfD;-X
z_SL~B53h@qT=G?gM+(fE(sC&1>N&KbVhArpSwmHU)!_*f{HsGa>9vd$9z2tI_1EV;
zt1)ca8}3v=Qdp{<zs>?c4kfefl|w{q+`A`+gwIkR5Y1F0#%ACYOX+l)^h)+~GB$f*
zJPs*LQEthY=+v&+L(CQrzK<yE1n=H;!Ks!F35Gz@*iRg6lAr5036aNnR`Dn#=(Vvn
zkOVuNxKZSPuU<OL?TF?s?0M6+%nD1X|H!xwfmsR9k;*<)mCitY99%XOM5$X|&4K7G
zd-*ahCio_T8S7o_`t)z@D9;JBU#M%SGZ^oXZ$f5?2{qmnipoSh!ib*I8f|3$IYU;L
zmmg>K-MF$$f=*yh1YUWf%BMF9Sz47A&zVaHWA&7*hm>;7y8;ExkIVBnH*Jo;8&x`O
z#3Y*-p77F!D!BPz|JKmgPlf2Pu(6H!0+COIYjrRiE?!wM%3!84ue2ixKL@WLeooG|
zdQLa_J=$tg`_E2~(1p6Um65uv^nkHX@C2{JQC(*TXMQ$17@t(1tN<UN4JrN3**s1c
z%j!;6ZO5Iet*O$x@3tLV?PANUFuLm>{8-KtZFjOCS$VRVb{K7R&Wx2Zcv@dCY2_j4
zfj>^c)s%l|L<XPvtq#rFrIk4Rr4akd&|dA&iPdEt6?c0UT31jHz<;Y{R^=DgU3Q5H
zPU9od>>9dm8yh8-$@9&n<Flz{wTZRC+}z!we{g)_cC#<ZQ?D1sMxbq!I`n5Hk1emt
zfo=L-$ikIpty_;~YDuE7-N+|e^X=m@VL$77vi)PeP)_K~7YK?(T!#M>y57Q9f_-{7
zpwd;ciA$OeXS2#$wtbYTavt*3!9nhXS{kfXmkIk(n%mpQ2A4R#L?At<_{2d7$xqYq
zMjKJ$)$?lYXPVUxO6YbVOCx4_FMGtEi?=yD1E$oPW5Q>SF3e9@DcjPw%S43(g-v{(
zYy8qxfh5U*Bt2cWT9$SmZdG1$7|9bW8y>Fls{JvVY~<d>Ys!!Pplq=c>rrpp{;K(k
z!cB)d+bNDZXVpm+!|B@m8ly@Le#Yiy=D*8{Qc7a+jHnUzweZqAHh%1<RhI2GnRK;k
zq1>fxq}cN-Z^EKWyWf^4DQ=F4MZ2(W$0c{>JdefAeC1ab%32?9*_LG2fgFl3YRU~D
z!*@QZkcf0SM$g?^3(-%(`@Q3;K{m;*{M@PMA2-Ent#;dQ-@1k-t(7Ow+ugD*zTXT<
zYAP?EoSL1>D??e`_R#HV72cVcv%cJs%iS%v7;_e#5V5>exeeU~F+ke8h0RK<=shZ%
zmd%ZZ&0m#rGgL2z<yPN*osRa;$lgf4t5%6+wlk4oe4afmo5bRqSLPR2=I*YWc{8(j
zEXY(|*~}&=`=()1RZZ<pU-Jh)^DeDDr@hT54An*Bk1f^<^l^L}+kh6+w<r5Y@_i!p
z!85N55|aN!Dz87PJxPuF#!8_Wm*kSBf7rPvOWlNLvD(7F+B~xwD>~bVKgiUj>$j7r
zhlafB{$V-ydRX=kH%^vJUj1r~d=m(V7bIk{C~UIbG^jljlr>l}+$L`gmI^euKcuzE
zcI=f%jLQ~f+uX=&`ceikcOMtOtA?y@d10~G@=KD@LR@pnl47Gt_SrHD3&EuP%`JJS
ziO*J)$m1G5#8ISv4)m-6tQ+xlrD3j5NL%^X^7A}9@dP@#P1P7H>nh*y_r=FrmGLus
zLc%<gKX|7qvpU9usBPG53IYgJ#aom|Q@1U8v!0qCM^-x>D#beRicW5C<-PgNOYnH|
zsBE%nT)=}eTHEgM(&Z>JqWsGC^x4Zfr($a%3<VVUv6$JiL`fr3o6D+uNBxtE-72ws
zdsnu%mYn4=JW7X&<Ui4M9VD?w7f{Q;bn0`icD*ITIu$5XdYtJ{MkRkfq0H=*qh@ZG
zFE}~(i#$&|@R^DJ__%u&Rv)Q(cAGhB5$RRT_gt!K^7dI)knEM>tas1j-95&Rd5fH)
zc>MDsv8b~0XqL?U_RN=?w!fE_e+iX(`fTsc^VI7O{SG_`L0NP3?KBkGLfNQ`94cgE
zl-1FpnRC;LUfw)h`Q?G;+x=p$eAZXM$u}gVYxA{P{B}j}%7^$(&+`h6qzNYnJ#M$-
z{wp`uG!?c$Up(cP-1_`ZL|@DCrCSr+M(om(PaYVEYQBB`Cn)70uySOcOFmNeqD`5(
z&J6R}w_21BH%-T?sd2txkvnm9%z8HDY47#@!F{TmC!?P%&g`}#U9GKu8v`OTk&{^%
z;bE@vCJ4FLSAtg_HfyP8A{EP`h=%$?Ko~2Z68Yv{2BX97Fp`LbQ(T<qfHQ^S(=*lx
zuZu*d%T9-HX)~kA3!Z%lW>3$oY5T;|jOFAiMh&GDiMN4rO3e^s7D1pS?T+JPs~?mP
z-&Jka^Sf+YRh;x2mhWTuy6@{so$V+qKuXM9C$sgusL(&NUN^tb{vk7|K0t+ruB=ge
zwWjgOWaJBa?;X~vzPtQG!A!s@9(<9FApx15ETXRk5T1#aHTH4j%huwrrpzbd@_QNS
zVy33d%TwA`Ip`)(pT-OxM?LKQ`MKJTlJyT6#r7m}R&W{xGOe&-6uFhn+11Y41g)W7
zOOtA23z4<u{U6JWZ|^RR%dOsNP-av28!V4(iZ$C;P`a_1UO~=$A7L<?99(r?-;~dG
zPJh^8y(Y!;>>bkTkFMBg>0nAQ;oT=K^FtO<-rgJ$L$&Db@keh4OnbG4hgX6JFo#61
zM8ABx3i`msX2(=m%Cq>`<IBfo#?mvK-VMrm14l+o#2w`%$)a@>uy4#tshCgsZA=Zd
zjoOn3(x|vH#YoapWO-N!{8^+%$6DND@YiI>_1@?-C(05F$)={zpz7_yc3!M9%V1mu
z@;S$a^ibYKw(*CJ@CV9N_$n=>K2|ADMm9;L)KF#S+{nu6F1A<Jr&GTHp+PB<JO`OF
zJO^=sKTVbB&`A{NQpCi>#0%eBdcXY0NV?1{%gXXeEn~1fgu5k`*eKKA{%-G1DZgUK
z4Pwm)#;Z<dPaY-~)p^T&-YN77S(rX^r4TKwf}W;9($BEow@Q=i1rVYqgqhFVc|UF2
z&$JN0pzbbQtI0z^DM{;8>>K|m5-ZQH3%$?oWf*oOCCgb%Zbj4fB9_TOKtH=884%LU
z;zV+-ag$O1xS=1uFi{NRZ%M@=bHr63|FGhCdH+*Jl!g~NSQY=rg_;>59rMH62NEVK
zkpElYF;RX<qj7TJpY-|oa@0Y+UWcMepH$~DHBxb$Jav?)wIry15QINV2sOt^#52_s
z3S=5~V@AqJicd$I{!>C5YjoB8YcJO}Z|_t8X3y<mJx-IM&H8x%8^q}p=$;;3hEme0
zZIbyIahB=<BeEir#9^6A1_i5yX#MN#eeJ)&|MDM>k{_GatUmmh@kpvRv|a-L){Fl6
z-E-aa?MxaZiBYCX+U{g~H6e*nl1e_td)=6@rQB?VDHFP9SNb~)!|UDn(g>mqk+&@`
zAK0z02r7syDsNhpE%M_HuInX6W{(Ps7~m+p7%o`Bo6Oo?X#M;=HagF`J<kk(dW2_8
zC7h)7@)1J*%2cgt!m4_PZThMwF1C8xN?um2WX=9qBxQ#fRdyyXInM2InPRA0Rov%d
zEAx16w)0VSo>@B&_2^|+^A_6Xt{@!o#N{rpJ_eD*$K(<^9@{)o(a}tf0*MeEh{%_m
zFF>*%JLYP+$O9xRWDmLB2r&uKrfBc^&~9H9R4n4rYe+BO6wXS}74$RL=fsSPVQx__
ztVb%ks)m^sC<;w%z2?%r&8V|^66CtgLr=;<YOrrik4HnCR-uO6FrPn_a&!S6z%+X!
zly6Au>BiO@ymn3GiT%EX%TQi0>Aqb}Vg5GSod`176Zbv8ZRLp_cFTg=jutzg>It76
z_Nl#9l$$QU2-}^jJ@8N6r3)vH-1f`owmiIswZfLhtb>okZW7>2|5k1QRf$`*?uSIT
z?#UgnKybFypf5>y1db*)jJSb%r6i8<5aTa85&CmiFIu5Tgmk~4->Hy9t`7#DTsY9P
zYZt}#4-ZGo*gG3#bEx`F(DZ9-D{i_@lC&4hZ(*slPxhVI>p2gr*hqvI_s_3`yxJhY
z^*#CW`*x)43AvHQHj;KDI`Z_>d)^^C)@F;_+g_}L?q|Wx!`{Cgzvjo;)F=*$$g5I$
zG&_4yAE##T+U)Cm4_SgtyW$~NP)<qy4A)-$9+|x-uwyQzAzN4oaQ(7=Z^1V&@l3PS
z&@i+9Zb<PcHGYw~b^E;eZFBs!h)?%Qb?3h^S!UK+g=8o!^81*iHoyAXsjivOquXO;
zMde>yd}w!}quvD!{HS({V|h=4vi|VQKdpnFRI}K<O&P@@1;sYph14rM!l}GtZu^nJ
z#cl$1$J$o6?(G+8$+tqxHQ2uHwK{8#0*d)M!h64bt|qgWVOy0V6kDmpoJs0Sz{Mp|
z^ZN&_cBy&ArnQr^uOn%<7TOb=2h<T5B0PLgjt+9EdhsFvI4C|;p7eHEbmwQz)(Dy~
z8@fR}>9O$`TcT{=P8p$8Tq|sM<ZWN7JFK*tV1?11vb6QbTClcQKSKQHtHYsJ1^X+s
z_^OSw%6zrKydUu>nIgEMxbHW8H%D@Bfz%o?t@lZ444+LB$WVtvbfoNBYxZ$XO%iq&
zCw7~!LDCRl%`cVUsQVk4A$plb>hnBpdLay)cGT=`@zx`{jhyU0ZI_gCWzqIBevh4(
zYWAw)2THN~rGN5HieJ_wCQsO|v7C5R=dvxHRo7b0%J=r#Ie_ElL%0aZ{+!H83(R(4
zOJwWQULKx4A0Pe&K#+3jh}~r6xXlF<0i`)g%EQji&NS&zQg+?G&Q8K!b}G0apPL|X
zH$curgg2~3LeZ=IGYLJtkZQ)1a?6l2#@Rp1_D55rJK{W+sQ&e{I`ft@Gb$HDz4D>!
zLjh#+`+Hwm*3GXbL=s9nXMYrxPxkW8Rbjn0m#C{gF3w&bzI>JTI~l+&$~ts_BC10I
z0&aZHFGc|(7X9J%Wj7yrK<3^+T3L0cvlbgl;Dj}g?!?^p_e=7DFE?2di#fB8EM^m4
z<_}j~+UA^OZU0uj#c9=U=TeBQuQ|Qf6z{alqgHih@_gHVn03}T@it_2LIG_KXW#od
zIH(-i2Qo@eo@dBui=fw!?NB?3ca!)uMP_6rZgaZm55@Cls(&lD8WoVL+~`%IOt={L
z>6P%WSN>;`C5BI2W&4cZV>;dkYe=hM$vR2n3Uv-!cOqrQCX}S1OD<91E-8l&EBpf?
z1%djq>eQ%#!lX6;dZ5}R4U#9hi=eEd_99709Zn${w1$wt8~`Gy1tk5HI6eT!QgYCM
zy7F3D=_A3gKs;(Nhj#2`0IiSzH@;8Lc)AXZwJjxM>!-t#CQ_yOva?60oxTd7E0}yz
zw?X+{ynpDqK67mBHB{Ecn{xIl{6p(!UjDrL;QD4HzHgrO))Yt_(+3cMoCpy(?~y&5
z>TO<qPVyU2Dsu>^ofCp|PKaukAvk)ruNm>8zs?T`k1+5`S8>c*XY-!<WYK6S5oudJ
zP$!`;74OtO&g3Hz^Qr!VTA0YXuXJlEK^dyuPQxS4y?SfQ7x9CRW)Go&4lvNqXXDz(
zNLONPF(l7)@_yb=VysVini}Qplc$vwx+Bj2Oe$x!@+n~wCV-GgsI)H9u;BRnge_Hz
zZ4bnZ0MVh@GUeBJDBy{NALj<nL{jMTivqla8RrjY)j0}SO%j=!KI49mV=m0%Rfdgy
zCNj$Y<V}$HdNu!hvysFK5dw37{jA{JAw$dQ{M0=uN)$uRrOPSj<VN}?kAim1jN>F)
zy5R6FpKPUhsV=A8Z|7Q}&Spc-=wdfPa^=YbYJr$YL1B0PnmJd_(X65rCN=j3cGEFu
ziy#lQ{#PmXWK@O$tbcFb-t0kpq|tAB{_t-Uqw!sH)RUE5aAY1$RlH|<)EopZB<<^e
za`lFSHr@wjINfx%?SEFW#ptr?Xs)h}cXXtO#_0)?iBT%7w+&{5IPUEdk9lt6;VkcC
z{jqv}C(%KbvcjF?jHsqrU)OD1#-|v`5I{he|KB;lC(oX}pQd8KdWD82HeIzcd%TS*
z;H<<o&=J+}^Q)LOdx2@x)uI_!Vk4xais~+`_b5wOg^s_h)!8eW9XHYWy-D6o==>#(
zQ)?IRS-iAkT}c!Yc~S0hygVx?#7ES>-W?gms4ZV&8g)81x89K9EX4M$tA~fS#NMID
zijRCMUy^RT46TCdjMYyZ;Fm{xx#2~lFPUy{?rhYq{qlIEa4{{@Xqt|z0(muHfwP^T
zy+Q{CY0vIVBA<(6`~c@qO-;%qOhYVey%Xyel#*7{Z|=Vz)y}1}VT5yDO-k!ir;u+O
zzZo8Lh=KQw?<jL*lRx5e#Z<X0vsukq*n6|2>&mz~NaEfRb#Cs2ES~qxVmZ9~H*@v`
z+re>>OQ*ZdN-fxlk@U>DH;J__>Gc}NBnx&!7V$Xt%K1;_R*om1#IENWN;TbArVWq6
zXVuxNNh8hj6mIX=E&If*^0gx>`-dZ4h5J=t=lM^%YJ`+jR90Hk#Y5_hZoX2?&pW!Y
zq-;g_iSr6<U*`(7wyDGF8QYK3GUn-nNI+Wq>Cw<S0?LdmUO@;Xo}tQG)iIRv=2N0Y
z=lpOaHvsDQeo2kmfo!)jdb;)(H<q!gYQgY|6C)NOoL76Vq!Q;7J^PsZ(Ju?8=T<s=
zX#|aMj{MH|Ebglpa!2|LoR9lD?v=VtBPDJ;fNxOSAyCXunsO#kT!PK|`<CCWwBNtm
zPl`)L1p|Zggy=)(#Rsr1EI6!ZxXC(?4^cdNH;Ts)@&cZah?rRGvew(ntcNZQvlYOA
zJB{mupMB(?fB5f95`;ZYkJn7yw&~J3TCOiS-Cs!#VJN4TB94U<ly?elh*66MzI}q?
zeLz6?R6)h~vJ+g#y_+74eDdbE{k}Yy`@J8nFqltCDaHq2q9~k;HF}2k4MY%(`a0p9
zz#Va;uc!CGL)}3Ybw^$gTB~C%h-Bu5)9+6kV9U;QJpn9Ro!2XYEy(|TC9eGG^d9^^
z!4bk1(6~&;3g{2qg#iZ)Wc7vR9-8!00X`K*NE#gr3l_f6t{8#FGbzX0@WijiFd9P1
zIMQCm^Tu%MzscGI)P#_|#df&D29qp6&1$b#@E4p|Mp)k`959N;N@=9K-Unj(fOpfF
zxqyN6^aIoU>1wjeV>xhl0bF#`tV7-slaWCOR0zABsmID)_gPpZK*<}VEu%huTym*?
z%lv!F@m7J^t^PXU-7bzIO-ZTwwpmspyDN`NfP5r_@u;_grakw2)C%<cy5OpYf|8P<
zmyVVeRlyOVqM;tzJEUPqMPw470)6@VbsV>=yZZ(N*OLx6hO@bPK&7j|s4F_9BofJh
zdc9?lG$bndI@;+dF`qu&EtHlb-U*Z0m)E%=A;m4F1%-u%HiL4;RuCwBBYX!pXd#$v
zbeKO0r}A~xQ1p~O!V+hQb)M~8J6z}Gaj{_AcKGdOJm62Ud<Ubwg-z?X0({^4t4qOX
zR`oZaU<E<mpy~lvLP13Vf)3UOP=T{5in#juoFf&m-9~jh*x(A^d~+}(2M0bV?0o*|
z{Z~xE!OWr?gEFaHvu3tR?k*rxrGZKrzsn9478cglH@CC(3`G?cbpJ+QnBBI&+NWCk
zVg@}3c`^JA7hEk?@7-XM+-Z$V7)S}S`ePVkx4{BCblEhZ_6P(jI%F}@@n0XpN&dj}
z4fB0@XT+^2oNFxskL*}-{m9oE3};mh|F5qA<KimpZPes{>6jV{T|OwC!E*w!p7I+e
zu$%3WlS+k$dGh9CktZaUKD>XYJOIf+2u>&J#`j?p2zq(s!(Ms!?_MJB@MqZEfcU5P
zWIEaC)1LfQ!$4C9sK)lV`MsuuR1~O`BA=jiNz=L4{`W$kC>oag{%2HBK#KaS^so#1
z`(OnCmi^T)y_>!Q-dMMyZd@xS5}1tle%C|7yYN46Q)BV1!3QdKt+!E)bk%78S*HQW
zeE)qL!GS{0@Yg;pcmZ)hzt-IrSa+{)Lsa_$g@&!twY0!!g5j+z9{h164S1=BxbvSa
zOF-?Q6#vgz6v9h}$)itOV3Y9gu<Uva?^9K7Gyv)hISx8dLx4Kr;_Pw-P;rP@`uiRo
zcp$*sxg!abyq(4a2LQHaz)}kZOoUXx{s0^u9Pi6hlk&ms@#6L~KvA=Kr}13MFcRJg
z`Ylm+m=>aC*Gl3F%6|x`eAZjgz`$S^6!sPXugu}GHYkSq4@)sHd>%uHOK}G{p%r}j
za^o|*wgiX)a+`6`QRDb*A^@YHB5_2Ivq6uOPFR>42(!JQwW1=STmrwo7ohF^^Wo?g
z;q?;+9Ln}J`ePs<P!TJjOajEj!3=r9#FYt){6M*kW|+t^>vKg7%vlRCONADr?4Z^t
zm}uOeB0g4R6j~O3j{yZ%bwWE@VSJGjIvUSi@y&feDPREQM0ugT8=xY-;ur^r7U`Lp
z9cMLwJEX3zj<9(^I4s8mXhPR^nP3D_0N5UoFQ5%h;EMWO3IW2Fa!)!y!?0QPKHuj1
zya<ya@89n{o8rYGB6REGg?@u#&K*fLp94TEpaTpUi_yGNyoVIwFu5iVR27x?0ePnd
zME@|iN{r_NvLj-^_0;8B-Snv;gkE<H7fcasi=Ymb7yU!5s%3{3K;U}1{22lLr{=df
z3wQ^v0A}w2KF~sXq=-a3ua$zj`rG@jzIAAz{iPe<(H!$RxB!K7DNrpX1%$`b{Z*K<
zV^jZ!7Z3-5v`|}mq_4htgL1J*dnM-N#N#MH4LCxDrUMLsTlZvyg+MW&5Z6}-)UXUO
z&ml|*2#v$31|S(t?}KWkNJB0?gMB0*{6ty8YJ<fMKZ7M~GQ{EZd=c!q&~C%W0RKsB
zD4}(k2w#2e{jj(J5P1Uo<up1#ykQuJ?ZcaHUZ@B=25C4ai%+Qd4z85H4~IRcxUnWs
zh-;l>?tsnf-y5^@qNh<9LL9H>G(HCc{#QBBt{oaBnEKyAUKT@RAVla+6jaR~CnOx!
zfUEiAkFb5ee*NltFd$0^s6cgI=L>+iIBY%wig8%5e)9I9%zb~AQQ&jsJ>@)UHCARt
zSyWsMbEt$)mp(AFu??GZNlEGV{Y1-Qz6Kr72OS_m$2DJAs{lg_n~YrwaLIJM4wZp0
z%*9#cH3D8)sTLKXqM8BhwXi#+=|nG27(v{O1m#-@(kL<Y1H8>tKyoG*a<!!+eJVxF
zdu<lJtv~jKX-|MTiUehR3P5OX?N61218pi1PjWJLtp-4$DRe(H&xLP_h7HI#jz$kN
zsHa0PU9tvn?J9tSun5}+d{CGJHEbRQR^JIw2yA!K)FDs6w%BXJ=AgTKw{@8x&;|ja
z`sejUZ(%#|vY34ifP=@i6UTtcVmeuts}c&1-Q!w723a8*0Y^+S4xJpX3qV`scU*h-
z_v7oWzSuz#v0J$D!skNJ<Ltl;5O*|nv$L|A9^}`cBu32g%SstG!d9&37c>Sq3!A_A
zrX4>F+F93~8vBq*N-0_F%JfU!iJwK-0!K(7p?7hz7sGGIK*48i>BYv*jtBT4tvsVz
zi@ywzNON5JYr~&7i`Xq}r$L2)Z2&4vv$b=V;kPer1><!Qwt&F}wwM!`CZNxOBo9<7
zs9eSh^e<UMkeMTM(sb8X?dDbQGy%bYH*m^nRNK0pWNV*}0R^_<zfVb^`m>D(j%)pm
zXM%);Zf)nVDtMzc0FL$JKZ!`B)@%5X2e(4Pf#op(Oo)+H*v|v{g@FM>-Q}4@E~%sx
z@sTSG0>6Rn2aJ`dm>5jR6;PxL0Q2`^UEW8+)3c_1AN4Jg;U)~y;*AjnSy@=XlHP!7
z_Im|Q$BXX5(!)3Fc?-ae>c3lF!xRDLWrbKm-T-MrKu0^%p_<l}XwW-A7TkT{>)_x3
zqT>{1EFvPJ0=-6*@<q|TmRo@P;g`k?`T$x>%mz^=L>L$}VXtW!ht>ed`eC;pqHj->
zN~){hPV)Ty6lx&T_4EV7<&wT?hKc?FV$B0ydTW+)Hq1JKF9%GA;=#RH&;6I(Ny3z1
zi4R9|)cpbD>P4aeNirCuVd9CDVJM6zUIoZ3R{}aZ4i!HE;L*1-Mhd-w=}nL?APY&!
z%Dx8lOAXd<LBO$<SdJ5k{yDe>HJCnPU}8cqpR&gm0R$t8MH55A6o91w$F(e87C=rw
zk<K@d1&oj<a&j{I`t<MLzb{cIWC$Ve6TucbrXrxl|M>A5`Y?iEb5<A4Bq}!63|GIb
z%yK+!n8BR+{{2S4PVTSw@!8}A=nAmGUW44GTt;VKUweZe>UIzy|Dyp45|*0aTcqW+
zwE~6)GbY;?aO0bRoeeUNKc@m&yzY2D`7UV$1lWX_5Fj=OPVWM)S~XU3?#6~WOs}_A
z19pOig++@!BQp~dtaxO#wY9a5Hx`M6<u%b5u}gb(g7Hm0+1e|Q-?Ipf0YdKrz!pWL
z^G;ev6KrkGNFiO%J!vhcVdXKvN81?9&mXp&HlHkGgXRE%&bhfSS=6TXUMgd)P9#Xy
zj^PSAZG4=>R{k#}ylheYmbpp2%J(*~ucR-3q4IkiZKVW?HhAvIczOzr<Y`+_gDwe}
zgRbSa{7EjuY^s8*%x2b_Z|nS5ef~hW<%9e8Zvq2RDiZg|EUgENKv8Oe&yV0*fDR5E
zb2LhyWsiU71uT@U>1r|{n5`Mf-XRb2Do`XaYXHj)@&zo*RG_FMd;fP%i@1#-p)}LK
zaou}qV3L4(8h}XWWImYoU1DPR+L~$gC@M+8<!PS}1K<Z?ld?8kobJPI2mrQF0(w4*
z-VR=wFzsGyFijKSuI&Ok>*AoisPu~$IN#(FLjeEp#uqOssffRJciao2<~Xw@Ub8{H
z$prH`F1W0zz&#CzV<EYWD~M3iPHQ5<z}rBCjI|piFw5~77`Tg-pw|irR&ADYE-B(D
z;AhGJR7c^`WJuF!w8u*!M5p6ZwSJ9cW&o%5;K2jC!IymE`J?I9(^V(GyEqUKOfUxI
z_^-pjoHZqVMXAWY#NE2Q%WxkI1xSDo%0OrqOyk~ReFBW0KVZzNWw#O#1`5OLgB9O;
zvJ4jnM?i&as^?)IKM>>+4IDznu|;Lr02(9uO&_HJO_K}WXCPom>vE;Nw(t-+8Ch^3
zHrWWd2nZEtSOSq9=>OWC-Mx0&_8PZ++exc(1f=7AYE)t~3%7N&fzYz_@7Ry8P1NiS
zZikf@kF2N20p%B%6t!w+Hn=$hy!j&T(bK<6y#@<$XkyUGrtVcp{pDf4M(=xIdi7xp
z{Y{<BR!NB%k6J+KwJRtD10Lny)q{<7LR6B75=NQC>7Z!=(DvFDFsj33(*HMKv|o*V
z5^IuFcqsz9DL^xlMlxl%3?LdO0WZctdF`(D1tH)_2G7nxGl%-(VP+;X9R3;l!?p-~
zreXb?ii9K(5G7NAXYu9(K7qGb>qZldxk-ESQ1W2Mr~+^TMIY>EAJyV^0}g(GyvXSd
z!0^o9JG8;Trx~(W1pYPj+Tj2N4x+Sf01Y~C0p}L*&?M&XQ4&VI0>}kE3|o*-cU?;j
z=Cqj+$~Ar}rSt&i1c6UzMI|sndx$xYAP}9<Ypey#F)*P3B})G9P-YV)FEg`YXSzBH
zkh{Xd!YKHBE&;)>M1vTBjn{wo6zcBkl7!jjbD(uWqbC~dcA+EUA+YhRU{DbIoAW#X
z(}Z8IcotCrxM?))io|I5<dY6uz_XNIW9k(bC@eB^G>saxv-w}I$Qz>pMCoP&cnoPs
zIAimK*ZYD1K)-7Y^*<0E+&^%KQq&uXd=mz5_G0@r(qjR>Kb%$+hK|<*{Jjfac3ULv
ze<0$?9&ne2*XM`58JP^4V$wmw(cjJ^0Muau>a^U4_wNm;XMcD6_<{9L=vySa>R))X
zaID(cIaKT60(0XoFHSSTZUG8t1lX}fKz+B)umFT*5Ud+`>E!FwLggQkYu5<1tN_<H
z+57B1;Nk_tT>9e~4-RM!kVa41MKAqe(%z_+LwJ|j>({Rb0MS~H=M%C6?^-CDjuuzJ
z3_)qkBfA*TEv6R`RK1b(5ExZIxeQ6b#|I>LKZn)cO6q!G^FcpOfrwm^(E1gyn=Np7
zJ>FD?;tE*a<Tyt?k>TNiY0M{p9IPeBr`G@h%z@aREN_Q>FzotahQGIWU6&a;E=2%n
znKB)5W(cvoj#5eO5dcf<j8!^hOxgh>zPWz^z@q6NFTlSw9nK<QdJ*FbjP`sRrH!LN
z56GA({+nIt#+F5Pm|P<OdNK&^m;xZGiaNvP*9^=@1}Znb`}?;&CjGmps8n}1KoZ7>
z#{z9r6*#_6pFRcY+9Hv1Tz@I4nW7tFf3sQkfm+a3e=4eg<Jz2E4QN+f06}OoOu@an
zoV`MYV4MKif*3PfXQrLj2L}SJX^Hr`0JqV=R!Fl0O{^3hhujxtFE(P(N+~Oo0Nygp
zRy8y>*2sr0k0xzk7Bg_T_+YhdAS=TOy7$6pgehPKI=GDsG%mr-d;sdb9|e7yXn)U&
z7eZ+O8|fc!U3C*2vnZ4T_GGNeDf{pcJfo6|N*d^yf(U>U0jz&KVDy3rPylzd;%p<k
z(4ZCT{`NhP9)zQNQV=x4^nRN&PtfWkt|nrJaNHchMMFdLvmqyp`fGg_uK>AMybZqo
zuXrzlyvu(=Cm05Y1Jz*efJtvfdyB!~<#o*SSF5fAs{g4JHJAZNLpYB5H?I1BTzaiP
ze=h}E_U}|D*J=rdj=BS%IO}yprBc3i2TB>(;JXWFXGpHYsjn3Bs8HNxk)r)`B=bMl
zA>R0HF9B%oI4Ax(iSzd|?JzEkhW$#Ps3{_b5T(B{;ba5A0)JoHfb7UPtj>3?Q7!iM
z(1md12QTbB%<wdXGrCyZ-Xv82i65^6iR&~H{E_-~z!(MxCh%@OA-eW`^VjA?oyE7X
z@H!%c!6kFY3#PwW*g*Kg_X1AW;lba9{`aJJ*yWtD|9z&X*N`f}394C+)&!s#Q(7@4
z^Fr<}XioyPUC`bM`fG=>Rq-kLtZ{6gzeRS3wRP2B8&VL$|Lf3GpMPf0%2=PR7X`_N
zp!z@CHn7@&w2AHcb~)%5p|i!k%Wx)Xw!S<IBd+KIJYTr!67KB)4R_xuW(~PP>lf}C
z7yxAd-h$U~s|RRhf*bu%C)F4jKq^lM77?({gAtHD1ido0eZt3T!A6FLaJwUj5kHM_
zGlUQu8GZIKf%gojh?3w11|AgzfgYb;YgZ75uxnM!*;j#1CQxWmPbMQH!}#VWrL+kc
zF>aLP4DatQvG`6`yOiq;&2JO}e3DXT29hkMBRR2$QJ+4M3@zVM+}77bEWrZIO0SC0
zD$qkj&<JlhCxDGQe`ND~`4@o7&a1ejWMr_lX3x;9b$1HKqLZW}JWZ?70$Yxh;Dnrk
zL8AuoV@D0JRk(?AFa}uw{tF#S;I~5o1aNCfqksM(0th~*&#D=SDW4@U2=Jq0z+Ec^
zhMh!IkL_<j@C!K03dcfD2_QVV*tYROg#ZRW0KFC<7t{K%PY4D~<bbmc2>d7YSLdSl
zH^ro)T8SX#nW~RSW;%&Hl(le=ok|SQGgKx*3%X??J-}*rz1V9<#QY+0y}WSS<Of4Z
zgHGyQ5H5q1XDW=`06iNxU!v}Bw-f__0Z&r^38Y<s<PP~G3OqN@XhC|#=2SxJr&=!p
zu0+NHCVLE$c?z!UGXvfv0~W(`Xo*b^aG<?!5E7y(N(cT;<+nuA0S^f076U<H8GZ@E
zN(qGM8{k7Ti+*0b%Kr?fTmPySY=i<)t_L6lJ4B3ittK7+{GIap4>-Mvg?6oohNtX$
zAXi0rk1$a1dT17Q-mC7%m-L+WU#8mrbwpTc?}_&N(D||d#j}OiqpbbByDyKL<u|2O
z8BU*uY%NxRms2uy;V^3@j|g2V3q&%I!Dl26CYk$krxLE9TqlC0z|`04lIZM+S~>UM
z-RRfovZrnMNc<fx#I!?Ch@VBXqh)2gIhnGlC>vd>m*-t)b%AZLDtxn?Jf*d-Ds_FA
z>7%P0Re88hQgmMelfIg8{u}V6pajg!$|^-9zf@?#8S_BR{m(KZHKF?Yp>O96R$V+C
zYL;pqDdN0~9)=t!=*@%@5B4#Ziq!-e@q1t>`p|Kg%KVWGl&E^lnJ-tp*fb3DF4(XJ
zDHDdjc@eUZXXQ@LH6^~z@z*Gi9;0ChamDdXrJKq&F1>jic!WZd)qG#=vJkg7_iRD{
zbfdi827A*Ekz+O0nybXy>Y8#WqzWWtmHJrv*J{fkIBoE#MZMlWVer0zCdseNf=t+3
z6{gBmpq3k+08Bj>K6w<VrR|wDKB2S_dV?Nj#xrTF7HFql!4p4Nzx1f(=6>IaE7(~E
z0|+O`HcKgh!3R}~Iq0+PE%RUVwpfR}Ry}=u_zUH}*Os?2<=a1m9jF@o)U1hnd<}sb
zt~X^<RjfWxZ`7W~7nyC^)W>4*m=TSwfMf=s`K1R#cZRYvv@@}m5N!PzU1At7bWsz&
zYKxf$l7-shuV{33-ym+ic*QoJIul=iKfWwU#ENF9@U>pNtklv?)RagjM8DbXEEG2}
z?1M(`e#GGD#)mlP&YT(n3*CwU3ARbI`=RRIS?cU_lO7V;&K~=GMs8Oq$om4QP)F~P
z&7PE$_pPN;z$V!vpvyXRr<VzPH%)ac6GqUaE+`vDAfece?=#vs%x(B;ko}tbKKOZk
z+K$ggb-(-tYQW4<$+B6s+y2at4$i&@jElby^2(|+tTyDUQMYRH>YPSbmeIWSq?Ecq
z`z96y+<Sk<`fbQdZ+z`*b5Nl1ZsGEVuL<R&J5)H5K~`h7I5d|*Xu1+dNW%F--JyU-
zx+9H)XVsIsGbMtI&HE)Y-LvBrc+D%ik7Xf=FU)8glh37=PypFFI$UR)g)ZP9X;yL)
zvC=Lar-<`cp@+M7rGhq(ig#CQmtUeO^^`f0bPwH7vN=jDwxbT3wh#461$kjw!2EUv
z61pj_o6XCw>65!c-LXxKbPI0s#%1D}@0;e`E8SQz7jS9pe&1GO7Mg8TMWL$L-K9u8
zz;uR$u6ayRhe>p4zIxC{(DSW8ReD3rWJ-A&#mV{uX^FXiu{Ce5L~6crvcjrOyt1P>
zdV-Zv&$I|u3m}4+*KBjzOd1H*#qG;pVfvyyAyUjF@Ffu4ELytCy`?x7x(2y|9?(#b
zkU@xL)+T)gpl4){EfVB4@}o7?)R+UlVvkY!)y#=uYm_%SdrfQarZ{~a`W(uE@-&p!
zBP|V^d(QHKMIES?e_cstXOk$ZK7EWG?V}`l6<CichD5I_PTeb)lhWr%L)8OKFs;-s
zQ}k7i>kG;dh~(<VicKO9K{qjBe)J|Nfrs$jOPP$I&BMTw-^L$0s}$tKPPO9v$uiZM
z2bmXo`t;t%9r9>YZ<SL-sb`Hp{GLgWhKmPgS$EZ#G$K-L30Z?oxj<qfA4M-+Cj3Gp
zsh(2X3A!oM+CT0|Wz#ipePN6Fz3kI>LdL25WWnBV4pXu_Z(=6qI3(#<-jxZVNtsM4
zhK7E$JPtOxa`Ol*nmDcq-D4GA?5tpxo8C)_d;nt0NQ8nbErbA2LP|;LBZyCkK#b@p
z_!2a6@OxiW92SB!GvM&1^Ac2Sj{Mx9TiI%`@_6UCME>oK_RD>zy0XcxQC>l7G86jN
z>B@+*>2&jnEi=uN+b@J7UaN~vvTLh0b`Nq}j?RwXN91LdXe2SrS)eIwpSN}vfwt%0
z<~X<0ym^pFA$^E=2CV_ac5gxYMT1qhP74moL5>aX2L0O)m5`7?v5G5DiyKysXd9(l
zAaA-*kLDl|bHT7z-FM`hdPP|}x30y>LscGHU0@<;Gx=wk9MUdr<#PRw`>WS<Ps9PI
zukOaf$vM+%@0~UmoaCfSJ1nVTt!+oVuB3;nzgfO~y*a<a7=-MwC}oG7H%EHR#)`b)
z#$;;>8<doEfYq@f1CT6aZ&%bt92|*lZn|mC&~#Wz#*6aNJGek)Rv)sr=k9Zw4b<i+
zla*!^=u?^wso1kEjz|1r!5qgsW~%Y1_LLv|o(s8my@E;#v|UX6hK8%oZXI|Xw*SWC
z+n{e-c$u1_0ZFv9W7}Q0+QtD0kUoOe0Q#~+OD#sLyokxjCSNYfL&Or`#9F{NCn!hi
zzD_@P_jQs9C0I94+R1XhEbBSqv0?EwUtKpB$*aO+8#Gn_V?WHRo0T2CmxxB+{_d;t
zJH=Zm7t0pRhr~(R%Fr}!v8ARwiH6U}B7TNE_TJE|6=SLNsj9b{WyA{?Zpy`U48Nb{
zV*A$Z-h*}~N}odn@}jwy8#NS^+S&c|0cWV`Mq2X21YP3&g@OZ<?1qzNkK<)F&A(MY
z`%t~RERWW&JhtoD8_%a*QikXrF1f7nnaV9L4oMO%F|FpCAD{l6;PgsRa8%yvT&pHO
zYlr5(^EQz|qjGVp<+9xX-znvQn$NQ}MWfL$%Pr#2S8eF!C{Lvb@1~*7flk#{kkxMm
z-`qk6AwlC`DEtFD-PGIPMnsT;gd*4{yN#jy@K?j^fha5#1mtf)W$|rA1wSDP$?`C|
zqdMY%SfJ)6W73=OZT>RxUUk)+ViqKyGM%o!zo>YdHkp1()u~pgYL9y+E~|N7!O_v=
z{h^%T>Z}-!t^)0d;{Ai69eh<E!Ln_oR|Cbk8!TnIhtrHLr}W36vyQh7G<yyAF3%-u
zE{X^~Fx}*G&LLQg%O&{0^=c}i<dqi5dFWb1zV!18mId2R_O)>lZrc}*+bk^}zaCrC
zPS($hdHrD^l&11QO#!SU%vYe-y$#gjEpU>BJ$Pw+F6_W}WH7^3(v`mCNKn^-+rTSq
z=TQO(`Zo{Z_WWoz%^*-n_^tyNG{M)ND1zSTFJJDgGKN##WYxx6T0sdVjZMB<75%JB
z%he<_HSG8@4r-5#55}dnrcu$xT|4w0aCMt%4dsX|HYL>K)S}_wD__~nn^=u7N+ONs
zb&U(&u1XO4Zmmu#ka${=#q8U;<ViKTjLK79K5<ywZLzn|)nz$?!|z7)P2Z>6WBi|(
zohnMT6GG^mDfWf0hzMy&C+02Um>mklpa<;`dAmfV&m){<R)4z=?M!zIKPOj5|2u0h
zWMUlAKPIuf8Nghlr3qc*Nlsy?y^V7(ve}a&2Za%bb3IMrrwisY;~Ml2ol}nKgh&r(
z6e3Yw1cI7<il4Yuz8-l{N1e)dTR#9HlZYU5pZ0sRcV&{8S2Z!!_N8(#s_gY$2u&IJ
zM)7S^Y+m`|MNEC8A$R1x0Jo`+$0q5W_!cQ*em4a^KCnAkuN)pZRd37A<1Ozp1>}44
z%bYyks~6|SBpL}9SWIgQLHtS#=)sg)q2Ek=z-)kZPl9Y5Sjx6dd+M@T!#3z5P=^O8
z1l+m!=$d%Q^Wi4)Au0Vcr8M%lnNne^$NrS=<WV`qixhio2AgfEsuT26UZw&XQ`0?{
zwW}L8V@-gCKp2IURfMDjA)OJI&A|s`h&i_O04hWjPWH~S3MuiGJp|{lzhnawhm+P;
zUaC~;LsmLx1116u(hES`!|k!?t}f)l7l={7-S>3jY`j4YfewMF_hHYgx&*8A51($H
zm>h%?s%nQx5hD~7{K%zJvF<(*i)BaHeIpuby!(*>VN~T>y)58C))Mj$;P1;w(PMq$
zj7&=*248^Xq<{rw2GK}A3z;st?so7cL<a+)VBH{Aq9Yy16uWDn@YYl+m1rPS3cL(t
z-aJ58qQ_ERAuxD2C1Df6J+f_}jnABU_PXwK`Qh?9Nlc2^P)wW93snb3h1_qFJZTDn
z<X?%_8EB1yq_mz{zZp}b<02$KssG$hB^wnqh|JZ*$i=Rg+)vde1nnoI4@>{t!^u3w
zk6n)J0sMUi1`aOhncmFWjEyBjt~yFC3SyeJ9u<XYjWCdfoY06Y=Yt|7oJHNn_pr&A
z{G%lPheICf7ZsU9l5a)Oe$d8_ADP$>KOTCR*eb2ff|Wj)lV5s&(tk}<qQdvheozoI
z(k4VMP&XCt84xtljA_ioUahU+O}~SEkAa#4vZZ?^jpIzJ>7C!FO?3`#$$d4PckH48
z{RoS<aWeNjEOSm3Gw=w=OfJ<k@ZP=CyBt68zinFOfW~5fCgC>kcIOU+O935j#(%a^
zT`tS*KK-ZFSvA(#GZ6$%zX<`TTL~BWUzMGCG*x}u$M-RWipY?X$}yxtRQGL4l8&Jf
znM%fp!Z8y{4pGXThMP1XV`RuY50T_9cTwgkQz%1el8So2zj~kddDgq0wVw6#M{Bj}
zWbfbJ`?`Mnx<1$E@XJ?~@VUFcdo|S|7bY;wPt6}M(ufT{`6~2F)1icG<u?y&sjQ6@
zU4GJbbJtwTqQeYM{Au=UTXfqOGrl-x{m3fq$b|jpIH?C=o4BdeGG6V0+QtL*?VUoI
zLY%r^+P#ub<%`@-6MbMJlBlM-)WG<Na$nN6`6~lNysd7Y@!!%msCn_b?6Pfjs?5jR
zQh&}BX=c-8PaPf`9>~9?)tjweS2sQ{{)MR%zw}!Dln4DYV=FHymTg=7RJ<l-o}Als
zrMJ%{7wb%ti`MLQ$+WP2!8HfYB)&MUKl|~6uK%gUSBf&V4W6zt|N3o#?zMMHQURs&
zqCPbXcy3s!6)<mmDz}u2<%L19c?r&A>&v~JTgv4yJasKoSdCM<xaZvSQA_u-y~~S@
z&7yBNB`w3l>M^b$<vha?{gqGqOL+Fd`a8#uY!=-koYtl_bYE}vrLNMAA8)Varc&lS
z4c<Mz$N%A_WLo}r+sIy@)oUGobgMEy4h3$H)r+p~G0xagS6#0E`|-GjX-ea7t9rV9
z>tR_cWZ%W-e{xbRRf~LUWj~>#H)zfBT-GH&EJf8V7uFfg>1cRr8cdXb6R!<pDjhdp
zu5UKxydnCC-L=yfZI9pX;<tNkYjUECCD*;nEPmaQqST|xP8s=z3d>U+(j*gCy;q{n
ze9~H#*AeUc+V^mA{yP53%1y04ao%I*RY$9vjY}dNQofy#zCASC+v`$y(@*u#qQcLW
zo<&)`7P3k9opBG}O(!nZ8-MF)UZ0U?Vez-k@!_EGjL6t0wXLmVSD9}n6tyEvJN-`>
zTpS9Od(lJR86JM8<!Sf3^M1Rxh|4qHc@6u-S2<h@`)fPHigSH<ul8r@khFx6X_32p
zEpJ>bGh1n`H@lOS)sKrf#{_%`9jfSMI(1tok7Tq}46iwP!m}{D%Wq4$V@qpPuj9z%
zOnLsga*IhNz3t6{4sRV?ef@vTbgigYaQ>$6DMqhnWsIzKqSJX5s9pL=Y_INa>UVnO
z;j^2+zT2i_#h!r5tzpaFjASWZQeN>Jv-WI;+kmob;UqVM@~ZFjX{9GC-@K?)yx5?;
zGKN#as%vtM)VB{=^t<WqaaS{nvaXI^Jzrk_xu9Gjy>%OE11s=D`aP0Pq&t@`Yd_fG
z`7*t0xP$pBLWyg2q41JIE_YLlzn=0HRT;%r@CcfD6q(C)4?4w9wJ;~gwvOtt+^5yu
zKdXCG>@2+z7}gVd&@`d-reo%f;Zm`SsPqMg(Dd1&#d<r>-m|5=eEN->w~G9+>-3~r
ztoI{-!Ks$@4V``wn!Z+{SNxj1MPBYm5Npb%kLeZa%Q<{-GcEO8$O=kRn{V@@c=+wC
zb6@e(?>5cp@9|nkLj<s7dYMMaI~Xqxyhpp=ce*4$J!aA`^v%_Q#-PSNw+yY%@!72g
z4#FE8S~IQB8oAb{-IyC~DEcIHJBF!~<#&kYRV>$Id^eP^i@|4bn5kkG;qe2FHMNG(
zw{9pN<clnlc$n)yIM)BliREElmEDUJy0kZRNB6PHI~rf|c-6d<xYqtwG8Qo{^LJ^N
zc7oaD`=SLex|s<h>qf)E*#4mD2a_=jA%48fTC8~WdUo~i1!;+Xs;is2T~zDG&WYI6
zwfdKtamn3J$#*+izNfJGZ4PhOix|U^yYq(|PnqU3d$Nj^g4(CYJgut4RGXHcPQMrQ
z!Y3{vFM`1c{NMLUZVjUo^G`VP<rURb_sx&LajcL#{d-YutMb$IYu}9&d*#|KS`GF}
zH+D~RthJkY?me#jck_FT*oXZM9)<RYF6Z;6ya@5KT2~A*mLv;P+Q-7(?M3wACp=?M
zkGg-qVKU3B`sV%_CFAXS+1*duH*)x!aarA+@;15NGPujewM^dPo#M+hX1U40PUfoO
ztii8&&U)LghslPJyJ}jy$x-FZHrFyiizf{?*-MH?EAOOu|6bQRtM;V9FuH_!<k`X2
zjZNFD+jk{)eR0gaP?<2S==n*Hr4*zly8T+1E*+4(`3vqYv6?qNg~OA6u4d2j!Vm4`
zY*Mr?T_EeYZ=_vy`B7t<*UN^jZ=Jh^!tNfm>bv!Z&2LpsmktAINuMoHsjU6v>%mXc
zS2w)~kqDgezw}Akx`XdCN-w*WryRD<T{mfX>{{aNBym3@i(!<3!;be)a`JYY8llEI
z3MY;&tAAtdS|&ZGlG@mPX~4BQERwzOs&SkCQNvZEDRr|Q%sq@Nzdpn@B;{*5l%Dlc
z#fR&JA<d}Sc*!4c)T~C9t_jL1dZy~8wd=^WFh_BmQm`d$;Y+o`Oi`6B*UpU5u0-9O
z6591P5X|8$FN^prEA|^1g}i)ehq?$IdZ&^FN}{YWM~!T*KOXjP=>GGvWKha(RQ;@<
z(L1x;<zu?iO_=7Z!@DY67!36(rSMm5O)~S7;dYp5coNln<%WpdrnApA#N%~fKj^<K
zId?0%tH`l*Phi@y`sXPlfqY=|Ez5&bK#7C>T*w-bX_8nM`G}jAuvo37Kr-@&%2c%c
zxX9Xp*f3d+jnw{`O9F11(nfcV=`g>K!qT)LYHA-tC|HzQbMk;D#b5DwUs_1I{xKb8
zo?n0AD-gCQ8NJ<v0Evb0I`B`?`Om8*?C%^<u`gu*EGeM1>KCt1vzE>)>OUowsDKLU
z<@HF-Qa{|bEjHjd%-O_+mI%xjdon5QWpUX=0CEcTHl>Q<r4V9#IY(3InK~&A&BuGe
zM%qUjX(-X@*9kp<Uw)+L@Gr*CYv?Ch1$+|jDq@DC>kL*Czr!&XpPc+)(hF^(lEL%q
z;GF@S1BxOT9ca!wt>j0(4`ot-B;+MRs(;M&{jm8k@`Mmjq_?0R@U<lNu4%R<(SuEa
zC?0?vh=KPIXlRzkXhXIk5Xv(17Ip)SnQK!!&&b$VC14IT#14CVnK<7;9!!$0qga57
z6CghFMSFtSlhVxi2)Ij5ML6dIq6ta_<tGC=^Nvs~C@ou5C-9ng)-t;uWrSr@)8u4B
z*-lT)J31ULUsa8|H>si54=d|LET>Uu&vo&li&+Pr&U~LK?l5#5#y>!hxb4txoSl^3
zU&a(%kbGJOJ?dy>I4C{A@r6UPD2z9)I{0<s{ce)xru~x}2Unu)e?$H>S=Iw6)|Y@_
zTE5l4Wl|Z6(xUI*(FRTe*+48wFi1}Ll;Pcsje7t7{X{woOt-F{-f@*)G&-G(sHJRh
zj>ww-vnv_z*aL1y1bh`C_Xx8sy6}zZD8azs7y5~cz#zm%YEUa+9ECHA)$kf!iHUtV
z1*Fx<U<}AOXR{TB+(Ti^xg)3M&EQ3}jt|wpZp~OibW*T=u~Vu(6NLA(MukIn_wJu6
zEb2vUdwmA$rve3(Hddn*$n1*r^mHPR1Hsl^Y5%AIhYxy`fs)auLKxbX5l#e6S4x5d
z17Pnu9d2<JPLhMz6w2h(|EW@e&L%92dTjUTZ?z@lMzqVZ<F^_|(ONwxMxLN{K&m0A
z(KUgW2@idCsx34idt?OPfA~OHG%W)=B^^Tm01Oio5u%*L@akVKe0Qn?MB+;N?l1a$
z&^JBn+g|P<TuB0asK$OS_O{0(105AQs8PLtuyP_J1qB8DPT5}TS6`sl<2rEm+j_Ou
zk-3rG!;SQpRXia$sxUUvsQdMpT#3bdGoFZ+vQ2)>hyVOJgQq+rmIU$RHq#O%LoEMR
zvMT@zf*YPjKmjm(<(^;y^8@{bCOn!wC3Dl=PJ4bpc(V%J7-k?86-6+=y1=Aa@~Np+
zKq#IiI>sV?4M(V`r~m-V6}$LN?&I*t$bD-C4Fe&f3WG8-@1{^LddX)|Fq1vchHe$X
zn;^1ti2+SZFzKe(UN{0c4r@RsO+4((wdI1ZF7v}981W!WRWOx4+zSyZ{tbR^p||Mg
z>+^%@T~Vf%YoPi2RbV-EcICEH=4f0!tMK#8^%&ko{CG4C!UX0;Yz8Mn)93+$OdODd
z@Tmz>4<H(}%iNWPMttKrJVN0ZVmOaVS~w~5$)2a9czRg;EY4;te5q_K(XIXk2MQgd
zAZn|GJ{Z<IJ)dU!en-c2B5XWR>XC9F&+Z)LenF^k41Rpw+~y9cSBPcy68U?xdBg&&
zrKuULyJt^9m8F4!1p1l`%mF_jMIzvXA&IhyAh|Y~tVyf@GJ(|#gSC}3HV>Zlyyf?h
z60JdRUM4Xqi2#F+9MvecEI?({-96X)0C8e^c@=!}gQSmPW_F`jZD?pn3v(cBeZGrP
zW<r2kaJt4i;OU&mSGelxgiXzD0xXS<r7>PjT%He1F4ujZ`^HJV124`a5d!rXmIt;s
z8*v99jBG3t;zIdH8uwF&QCe<uhqF|I>X?(eQiKwYG+?6#2w}3Q;$+b-ecL1ML(@q^
zAhv;xl6(>~xs}VZ-@@m}E2hZ6B6uHgaoGUbo%_dE29yS9YsB4SN*2K1GqVl*g^@>9
zRlB~%e3L7Pg5eDsIrMbzd0(rs)<6&^X1a57lHm{~Q#q%4NAr#}P!z<4Y2GoQk;P$W
zBlro`4_mPgpb?PUcH*P(wr!@Yap|`oJ1&J#wuG3M&k3&X;vH2tJWEqxyS_(;D9TC(
z&WO1|0<9{Z8Xr#~oBPzlT*phzU`B@qCsXV1Re~x&@r8wjyOeG?&Oop_1s9Yp*pN1x
z9@m6PBC2D-o7Tarw|B1=uFfAamwA((g~4w}-?&j=$C-sR>SyEi63|J&xX$abf}9l4
z!S%Q@la`H-AG1-*RlQ`Jo<!*4tYm?>oI_w}^}T?FomXv^jDD}aP~D_0Bz-00cgu<Y
z5Q*rK%ckvfr}966co}Rv<f;XY<U0T#x{fLalODrSrh`EG$kEy<h4uh#S#23O=e^#%
zB<JC_isZQMKJ2<%!2L~iTxiE613^(iQvz>AJeZjp@WsH4JDkhO$;t8Y@zrlWSq07s
z|74^o7Sb7(apIv0bZr;DTsh(R`DPt>kc)9!PtYYLYt35o`%f)kA|(;i^EVs>9)QSa
zQeStVHUBR*u(km}I2_c=;o(l>NDwNQ<Kp-zBFaRs+Ft1%ip=a3?k2(ht2%MeL~C*f
zLA>1HGK0o6LN1Z(QauhU9;x$O4t9lhk4)3H)dRZbq&C{z=OFVA5)X#Mc{W&-*~Q+)
zbGAZW2G+s;Iu2R^xM9>=rJ<Z-fFr%oUfQR*Ql5=R4i_6ci@W@)vHOsh5+06UT`(W1
z!&)3Hp=#<9p$^MObHsy3@uS-wWOa_)6YNpBZ3m(X1JEP`NGpjjC5=YtZRcVImYLFE
zhUAIew;HO=HSob5tMm@d?>@IsR6zr!d=rH5DIYq`jwcY;Qy95j1n5()`udVS&09xq
zsZCY0li1bPUEN`MLARzEgf&eAr&#~Sbqwp;=DxmI2$-p9X0gytUEQ22m(mnn1Sb-d
zAYk-=(7T_Z*qy-&?N>JhwHGr_Lm~ux#dT0ei%|_o6$B>fbm3V2#g+1So;fH1K|x8-
zoy#)qbz(N!KIEqMtt`Tk^yS#pl9)y@z*$2xTs0x1wca$)5c<R12v20*XHbb_h?rW1
z1Uvct-D1tK?5eMi{q>9+=2RLUKMt-`6=>K<dED~5jZx@+RoHHj#agDovmvYg_g?p(
z*$tiee|%V~6KXf?1+jZM8Ate~g!b{vw{9(>h=dZ(ZtLHc6*|fYw9;qSD%0tYpfz_x
zQ_O3ug-12k^+&W4QZj(72N*lZs>K884m`yAMTMUkFf~UW((zX)wyo#;IMFGH3#1K0
zZ&oef@LZosGxIX9orlN6WQ7PJ^J>w(+4l=DNceSn(n)+8o<B_kp^A^scW+1qxhRG(
zo*+9P>+A;Mc2Yrs5M{mTx<1qeL`*C5ClBR@$L-Z8e`2=Qc(S3NY+VpLahXp4A8>BI
zArO;=X@;p07BlQD%pH>d2V*VonWy;;vdDDiM`Qrier$5;a5^L!tODK}I5%$P{^a*|
zVh;CEu>jCA@-&t-A8ei{?}S-z3;dGvDCA=RU+iFAti{_P$RpBUur>QekHeXI|LAXr
zv8(N<@Y@VcbQm1trRLwEraz1QTD$0rB%MXb!t2cn{tC}Rlc@UVP;7$T<H$7!s!pn`
z@a?COjSo!Jpu&8%Jb{SRWp0ibPNB)PR@#d-C7NYh5G25`xiIS#gj2`XqwV!9F*E{6
zTqv$8#8OcxGt}2-K{uM3UH9NYKis!2si4Yg0d!nGjc}sD9RxrgL5?4AolAY-L~i}1
z$ViS#%SBoSIk;evQBj>2K0s+n-@I86&^<3PafAA=8=m#>^dyr)c%9?Hwg!h?+C6M)
zYFfVVPfQJViSNbm1=jbaH3odzx>ILyxGwbp7($pr{v_&rOkUCyojZOi(<9p3K^s2x
z55IbvYf)M3DA@0dMBdLnZ(%inKDTy@;|I$x#-77oA1$KTDiZ{BY}`vMRtRXVAa}MH
zzAQjg#Y4)h&@q&-+qmi^9a%)&gEA81YtB6-0)(=3DIFF8{FC_57srg9687?HM7>E~
zR$RJ?HX7H2`^%RvuU=GcAz-6N4=&gc7WwxxON4~t^YRwsgD%lpzlMSTdWhZ?h17-Z
z%VI+B;8t;|c&8mbbR1Gf?IZz`ofMf}A%sfAWR1@dnNs-n`E7mq+p2KPwGuLYrn~R^
z$ZrL-YK+fZSi0HX8h8H;9Q`@?9))7#3YZbtF@2zY<VZ^I6wYB0r2zMFl#?DqU<bdz
zWq!>tVtt_ot$uus_Qp6-HwU%x<cwQ%^AQIJ?0z_?XV{Q$g!R_ui*GLsn7C~dF$&c7
zPTrzS3iBh9(2v>|_W+&8u7<oQhSXT|Q)I7&>5D<+>J8CWCMLu(gYZz+JB6-YIG!2b
zdlEo>hc3iJrx=78L87cgzGA1AE4xvkt_YTVtg;XH87Gik{2PqSQDkHKN%K!!>%%=I
z?h6AMFNFxrL%zcTW$=H*r~m3pEB=3Q`_CU9`N5vITe&H;CbR?J`9bZ}+Q+!7X&wAO
Dki=b_

diff --git a/_images/sphx_glr_simple_arctan_fit_thumb.png b/_images/sphx_glr_simple_arctan_fit_thumb.png
index 81ad101cfa8d55702eb55eb4b6364f2a66e2e87a..0815aef36b3c4ec84923aff078c16ab0b3ab9096 100644
GIT binary patch
literal 27317
zcmagGbySq!7ymnS2@GA*9ZE_!L$@H^(nurS-64W>ilB6fAl)U1h=kH9-5vLgpYQLk
zd+$Hjg=;axGf$ke&))m&{d!M~hMGJ!COIYq0>M^PfIWvm5R$=vQgl@Cj+;?|4+LWG
zuLzUU_RiVM_40n(M=;Q#`vZ$LSsFcjAtlixg^7+uR@V0bU4bZ>iKY<!hm`CmB_gT2
z31qzF1&n9m_)6q|_vS=8BqEh*3nLz5n2V3QtM4z=iG1~%_3^Uy)RBb^BI>s&LXo8g
z)5_}HQiZ>kfZw4Dk6<C_p)~0F(uC18=%LAs|GzJrvyzjcMs2=lB_oO|D!o@HoApvf
zy6R?TG@b_w2}?_6ITArsOsTBO>wnt(NT#bz$8~0%7FuKcF7~Y)GP`%eSfI4J$#36=
z_r;MEn|1_}3cAqzsy4-i2zqQmb*hZ6eylIH`Viy?-CrrcI}tT%c0-B6p&b5P=X<st
zkt^c0a=bp0A?C*)FGpWx(stb|j88yNYdb-Ay7!v|2@R*WKY>CDHuKfXS*gRCB#wl$
z|AT6FU8BnKnN;>9B03`E^5$lBuF+v@s+`2a!U9S}gaWzTDo*<T=><C^xQIogeCqqo
z*?0R!@QVf^id-??uV23)5V}yM5=1<y>gk^TepE<-PPx`XwxXI^q)vH+PWDwt$dF~I
zNp)0iuJJH;{Ug*c1i51Fb))Cc@hd7S3a0F9y$(!r!~@7*l<Pz!Bw+KAV?RPgQeh%^
z<><)!wq$yzaKg4=!uH2hH4A1Ul~`<d1Xj=DBDFy!F*Z40aAV`M^WE9hLL6RRo3Y+X
z!=~?z4!SUTd3sh>45m~J;}#D^0YC0c6)y6Gn%Y{$6vj#w`$l2oMbZR0(npaVcjiv@
zht_n9t;y_yt}Dp!Q3OL&D$@RP04GPp3n!IXz5jcmjJbnDoQT(crx};oOpW<Wdw@tH
zrAXxd{MTaLY7;@<Qx@xQSt!)h)J82H7^+!(U0+;Rf25I7Q{x5&1?332qr$?+B_1As
z%N9`g`UYl}+kHc&x3{-*VS#GV{{%ahh&@s^j(GV`v-|hI9%au<FvYLd2;wP4h&44e
z56{p050`t6Iv(zD5fBiz{xtLUCsM|Rha+<sG@vUgDjuGk^o(ZmF7NKf<I&4?TJq4+
z(IMjD;blB?AZF98%Au3d(15l--246M2%?7D0C=9Gd9TIgZ0Gi_&yK&Lq@>Yfxgsww
z50}eKJH#P6n5AmD-N6V*-`^{ydN>+1IZ^KaX%2H;?O)!SD9+%s!#6TA()i+HPWlLS
zG+%<6fJsFX%w<tgk;~>7rAj6b%Gu8JK%q=jjrWm7Z-0MxPY)8W^=NQYlNbLzV)!&3
zw>d_0sOR3C`S4rTt@*D4{LTyUGc$S+Nh71j;9vwuS63H07FJkChXj0Nq{2{_C)Fh)
zz{_+_)5MGnQZRS7cNdGczdt`oe_|ME{MFO^V4;nbmk^@Y?k|Lok6+`quH=8U{_gPN
zV&LxPVsdD8c{zkt>x0>R%j>ci<;2$GdDxKX#KitgUK=j+Ze)*x1<IZ%T=}cx^&@cN
zmp{ui56{kIPd2_y)R@cM9`@jt88osfy=4jUIoUA(mi3H_^pReh?=y%F)ZE-WgZm}w
zg5QA{d_L^lCyAaI5K@YG!g?aHx&6*x&CJX!0Yh<l{aSYCSEbf=nSQ<Xuo!s)Ds{jq
zUVjpGl6b)NQqy9f40w9T`_Wyna+%cg;?>2kkn63#NxQhXDBZ}&$l!rlQcPtkd^wPq
zArTZ9%K?V86RcFt0!ai8lU6~Ij=<$-veq=xRRuQVc`U{)eD_zI)T6l~Bo4nSx;DOL
z7f#u0jq>W~=v-c|CM|DnMr}`(uYwyZ(=0}P^X84&%a>tb5?EqG4I1s2fq9@nepZ`O
z%O^gT`uM!0;Q2>0p3It{hrpS+xfNhIArrQ}ZGIO}a`M<v6s!+}t4mA4z`R$%;_*IQ
zLZA}&M-NuDtTbqp&g8LjIoVK!!C+=fogpr+u8PgmV`Dhy=jSf&?nn^ZMuQ52MoeI@
zUwlriW64Iqnt+eY?d|R1{msEkFtK2;S%=k%Cpw3QFyJ3^b?pL^Rj5-AewMekGO7|A
zPXA7#Sq;DK3PD0U{3fsnpJ%<Vo=+MKo>Wv;x*jZuF)%O`7&bWp&jnvVzbXyixdq*v
z?`byJYVz5BhjiSXQvi>%ySG<s-V;eE-<q0A0Ff*ievTtfn?!>N8+`V&(val!&ab`#
zsj%-2c3Qw+3FihFmpm^yd7Xh~Q9P01wrhu!b(J$@DGerGv))=YLxt&df1ZL-IbFqT
zFP@Co<>5X6ZfF9|3o2x0G3YorIFK3n6tdW&_dl)p$dCF+Obfv3v0ZEz<0Drcj+d;|
zDRoFHV(}Ig@w6Tob@Vnc+?lRUx<1=^x%Iu!d#AF=Wwjq$PhVf`=(-^zKo*AFXn<Wj
z5sg8>)Ct_M<L}RX9S`?$z{!j2>Ps)kspv^pnN3$2e{oqx1k22I`zPy`hwzu?<}OQ~
z62U-KCavKDN6)-$;4EqAz_jFu`rv~h>S=VCK0N4nSlMe@jO;QC20wDeQedK8S9&qL
z{rrmcYArI^LeX%k3jD8*S+qVpsxoRu%vF2$yjnkxPByml+c#|GbdD}yEiPx<FM9j>
z!16}Gr4p6Y(<24Z2@jZ1%j=yYjY8=!{#QJwz5$WvP|Xj^&2~GyrZTXa`g$1!1$1!3
zTEj@m7TsUrci-LZ0xn)QWiKcqQi_and3o6h&RMQo-M{y{sW$NL+GF^cW57mWATUMy
zsZS9WeX+~H+!a(*R8kHUW3>lw1|Pu&iT;2{I+Feb36EAth>Tu75e6(B3WWyWUY#I8
zM8(9k=z<?pQZ6qqBLwHKVG(nnSL$G;4uxY9v6+F7!S6QfnL{L#YSt1k`@`d7M93pj
zE(m<pF1822Lk0-OHZBdgj|HLdIC8W)0AF{{OOy~GM#jck*5V+Bfup;1O#>np+Wd;m
zx<WH}tS}84Y(pgOFOfhN(S3Qe%5DFX1%zezUk{It6uHxUyuIO(17harh|S4a{iq(3
znYr}sxuL#(*T@JKh{*{Q0w6?)d<S7Zp8Of++4dAtr*(B_XD4BhlA9Y(`~9^8A?tHw
zPft&<mO^yO`+%e8@;SELovlaP-``hIP=G)PSu`MtiHWQ{KEA%)zkU(RMB%8qE|7qC
z!4a%?All?S=|EUMlVPM#!e~Y*o<MIi!F6!hA)F+_E6I31`hnIxqv}eqQ+*7$I*{G;
z0at!F!rAdYyew-(laSH)OSxL9vJIx+<J2MKur7$9;cpM~D#-KgXQ}-0(?<ET0xxk^
zQS>n0KVf(Dqk4C6bYALcGbjAxTz9UW??!8Mx-@P6HprPLlgn|A4+I32Z2rBE0k8PT
z&3Q6;!tbnqQFlAYr|0PNAmO=TXI2hz;aW>xOR?>_LRiDzgGKuM`SZxv)NE;NJxjNj
zEy)9lU-^5CE>cm48yx6I&oXUDAV03CdDz)`uSN%W9c-*$zh|s(S20`!uA?^K#uNBS
zkj!xaH>;KT<5%wIQJb@<Lu(pdD6Kjk5mCg=#X&Jx4MI<ps+fd@$v4OIqfDyd;l)Zd
zD!GJAp-PwLca!r#mGM{LS-;m=DK~%|ZT@QH9p}s0Ix9#ph<PP5pHQTr;hRj(Y{{lU
zch4BtdqL&{+!N~M)fK{$HX*hDA;R`_HLk3t%k8D>?fGx#%((_HkY&1Wj<vDXf)Bf)
zR8>`NEwtU#KOb9DrB(o$BIGc3ZGGfjX}A`mC^jwzMpun_4+Qee;TO!((y|4`+}d+@
zCWP(9rvmSz6?{(?bm=_#lIK#Ig#H)vURyJ@#j<Yc>%J(65Z^YcfSYq!;Ab^kJpR62
z1x_p+$`*@=h8E>9y!`W{mR_AD2FT>pa)l!%isgHzr!Ue*I6(@n_3F=;2@9)DUz9f>
z%k2t7`)Bn+?o7cyzss?+vxi4TmG;&Q^!C0V@zE}nMgjARZQn?)RjQ`itOiA1R_%OD
z<;3b1@Mr-T?cvQqN6*w0(aGkxysa(E{pBjI$NnEOV4=3Nb&S5}yD{(-4de%`aa9nU
z$<y=m$kI~goSYmURSa5?*jpwTNg(}QXcGZTE@kDWrmjvJge;93Gb!L(Ml-mP<ddi(
zluEjPJ9pgme(}(x0(*g3WiWZ`!)Y?jZtFac1xjmcnwr#yTG_zqT7})(FqGk&h}>vI
zJg|SL3ul2!L6K>d!OQSJ-Q|x?XPOE0S_l>D-$m23vJ^=o(+Y4|Khmfqhf?0zZySDo
zL@NGRK@C+c9~Fnv_t{zdN797O_5evqNj2p+mH$o>Tui^Tf!g}%bn9dTK|T>OHr81n
zCHd7;bPxp%$?Krq+sA9)a<5$=B7?L*kzlF3+Rfn2E5_-lBg}4!E?rZr#U;0Ez8Z6+
z?~UvamBtj_9C6QLiB$t6UZO&&acvv@bJK`iHbzgT<&pUu`jrmXhDhFd-T5y4dSZ5J
zTP4B{b*0$dLpaG}MMWx@M8Lrb_AyO;&k*<!uG-5HS<f3p;=_^lW>gY+`Ss>7k=dRB
z4S%|X=@*Fq%@g(z{rcdJd*AE31agE*gQJ_kJCI|VR0O8Q9{io!>9ax$HVv}!nPgB3
zFdxf7h$TVOsa6v^|0W>$_lKwmA|w^Vb_VMGw%{zy!V1OzmizGhcXhiH79A!G>K2Me
zAB-z8O2vH6*>U)4bwf1}pVNR4SVMuM;nIq%+40&Yr^6tWM)a}m>~WtZsqpC)p}Gg3
z%P9+#<el%Ub)}_Vj67CLB4*|SIc%D}e!ajz|It>%_i{)-KcTdaTED#5udR@y?@-Gb
z44j--mq2*EgV^LO@gPP^+xhhXaWN>rtxgn4lO{Boptlb}Q!`WEgcXxL;{Gn=<|5x%
zr`n|R{;t!|`AEzEWaE~>$r<-83&NML9T~4uQjAQRoFr{+uicN1KtSByJlpa4g-<=6
zFC!gX%J}4N6_@|x-3@0@VyuPx^ID6K)*l9DKVxsrXW#5@=7*?Dtn-&reo;<GzQ5&d
z`&i|m+dkbB7684wK6>SFeLA|6$%T+1axqkg<nR0~>kp^7`EB4_L;Q4K|MAskOog%v
zGAiyyXJi@6{bRBr-Vd9MY_T2n6&X-dRCnv&B>rul@l;}2PmNpNPFkQ#v&Fu-IvRNw
z!$(dRT;{&H$?mW!S5)1>bbaqv#HbvtQ_YkmmOXfzEs$xV@|lb`dUsckn64;}BxYlr
z+5TsAnFejqjGnl-Ei@&YVj`0lmdZ>ZB!rhh{jlbSgcQ?$lgPpmztxRW^t>c`AwVEN
z1WbR>_~j7{2M2~r1;r-ozAKu5=8E6l?lpTQv6zY%b%pUt1RXP^7^wcNn4KIE@=m^?
zr43=>PFZ}oaqiy{_F`hw2xej1o~;w}S6Ex^*|VQXPHNk_czwd8d4CHdVE!Od!Gd}A
zcQOiW8S-98r+b8e<vQpHgF(;sRe#pfPqe&NZ-2@Zxiu~k<1|mlX7KhQ7mH-WT|V(}
zGmSk)Etif>H*xErBi}S~wm!zlxcL<w)#*1($2EnbHA`_S5_v*$r3QEA{A%Outte`}
zs*H@$k#@I;txMOUX7{VS>UJeD-9|Re6uQ4?-!Hv&sA9V@2j{Z3>c{iuQBz}V7sZQC
zHm??vq3IW{?YD0Rf2CUqd2BVeY-U#I_YAXfAI(m)VY2@mN^M@O4;|_aAf$fKn<$d3
zL(!z^cIc`!6oo?ZC`IIce!$k0l-%}d%R^hb^bWM=XOHQW48(7D38_|AFk{5Wllu9I
zD5Xto96vfb5{HpoTr{8!4^Q;F9PDtj(IMv3i<f=L8G{2!lzzt*LmbX-JQEw=IHp&5
zF=Us|(^z{jIXU8gC#SRPKL4Fe#ze44@Obo&knq$p)51cJyTSHo?KnDmW0dxKi+-Q8
zE$_GQ9(jJYKvLS&)yW@RlBYEm`Mk_$_XNz*Spv-VKf-Oe4%(IZUfcKkp6@f-&%XJs
z&|4n~c5tTdd*qsy3?0-Gd1cO~PVS{@Ffm`zHp)yhI}|!`Fl$dp6L!&`$z!0P93e`$
zdk{g4I&j`T89Bdu<`Aq|JabM-i2Sn}SG%lpdiJ+_Z&DnVNT0DW*e=X41>K8w{NS;}
z*Z7DpvcRlj#=QUYW2fH%g5O0Qb%|WUXzu+$(uwroN*@9R#kngX$DpQ0Ow7l7Ji2sN
z)|de7u`#3lGR@sxG(r2}Karyv<vv|jh0>DadAo$_O2fAXXlQ2h!e+OZrvu+;JLKqV
z{Dp4FKk2N$)Y0jjHmxrfV~M7m?YQl}FLC@GJe)R*>%J;y?}JP27G(0JGr;wfW$6Gn
zM{H#CweWctc%&TRKJllJGOegP73<Hh5R}qZ4v3ayqin|OS~tgB8;q_0v<?M$-;2JZ
zBsf_UA9AWI^Dz;zM5Svb_P-ZOQIc&iLy*8`W;|NV587b9{@oPAq_V{PyfMr6H$NQ-
zN&A6fhRUsnQ3Femn$n7{!TB!j_F{gSp+KIP{}GA=Z4&i(Jq2B0ozv`_#l^4k4faHu
z-hvY=eg5M?4<+dWHaOJfnqh<ENq0OQcXE90OeswQnrUn>Mx`1%)ylw@kNd|~MQ1xP
z9xbN>(-r2X-{Rcvgj3#;Of)Ulsh3J3oL`(CjBh?%MJ17N4A$p{q0NpGK|6ykcFpw@
zADibV4D~X7ZFKPYb#k#Nx@uS(I&yQWb-%kgz|_d7JW~p;myH^96>&4$AGvjRq4mvn
z;~+2ECg-asp5uI0t=P?lyQ%Yxq{k8@rJh%_%@@X$no(1Sr3tpoeWEV%a>oTZoYc5=
zs7Mo?A+M-vYnOv`>j`GeXj**JZ2t%ry<z0d3XRr7$Pxdx@lGbnJ6OV%ZmI){-<{8C
zv{V;8!=T;3g6qw!eq2CCF|yv^JRatFbG}=F=B>e-Im40a8T_zGUG$?we<7A=wt0Vh
zc=LmbIm%4C7<*Qyq|^9v5A2||XCPa^hIeYB_?FD9FOy6@@xAa(zML(~I}*a)u<L`4
z`W$g_7#2xgj8e6Y)*q1rm)yR%dNNL4VNc6}vpg|TTN1Y3jfSz@Su!X7%5PbH)(uaM
z_5LD!WU4W2x^!>z<(QoR`gbQoAZbKNg~9%JdiCDVm?TOuC699s_TJx3%@6OMte!t2
zhrMSZ)}^V#H-@^!u37R|znUMm&Kws<y1$D0_EcQFmFITf*lhagnBnVN!Kgtdh8nvv
zZB~<aE_cE;7ARa+m`i^%$#Fz{`Lc}_5DXeoZ(|{gPs~o@@~LY)Fsh}SnrsNB&m>J`
z>W<|LCcd^3GaS>_SU;&g+B#(Aa)H$N34Cv0J?!WRcF+x3Y^qfpp3B-1^F!VG6Z6eR
ztF*@MNj`6OAjE8?ci@^9<I<5mYA{a(SDR)0LuC*yBv<(4nNw9Krv#F2b<ON%F9y!|
z6QhjZ8(PUXRWQYLpDDJbE~I?{dHGHu>cbOXvrCfBMZb{Hh2T_rvyyf3KldU~Z%Xfn
zfPyPOqf%46&IO$4gynH=&EN^-FPmuAS4eov!A&GJ%Ovfdw}SgO87xb^-1|sqXq_Vj
zWx8mj0tnIZkk3xmylWCS!HmkmLiNGtdm;W$gO$arMhcL+>4T$|B|R8|s04_=Jnk%<
zyvhmYEe&>Eomtau=Hb-7^~Ka^6RxqvgGi$IT6lPTPL}<4GDizG6}sj;N2zV4%$l=x
zu+6cOEYJ4)ELB*nw8t%rW*`Zj$didLoR<qR#WAf$G5nQ`ZcX&tmv|HL7_ckK=np}%
zFibo~g1gTlgX|I$eyTC&yL99tS%bxpiFvc9HoK&BMA1y~tIRJ`QwGbJfoWJR(>>Rz
zrnNuC(Hy{mAzc&P9RykO;AO_&T2?|+?7nYWy1CJ69R~1_$Cy&^r%ZHZ#+$~|mAK&X
zq&-pZfAV`!0rp`>>iuY*%!l7zLza9g6J^P@TDm+4mZ4ekiDQ<3>XTGZ>B*c?Qe7h@
z$Vye{S2-z$)(perA!IMec@Qm+j~G|w_Xce@2dmp2k|!iBD_%rZpKvJ1aZ>Y~Z>jbp
zMGek0Ns!%bzL^NZAw%F%$ySVvX5sPw8vJP9_f1!SUi=O28`m*W9$ykVnQ1D^pV@=9
zYZz~qi#;t_Oky8teMnuHO*oB+OMMz7r9>qf`sR#DN!%m!4M|nOdx?h+mhxUos4PSL
z)QrAFCB4s`HT~b_t>DM3M6;N0ASylA*F=29>UqE&YuK2HZ+xsZy2#9;Bu`j>kE=Ae
zsWy>)p<x*>jY}UxhaY3XG*;-Xr)Bi<6XB*w_==f2_d*FPxf)^nk`3maCsD+GO|G<z
zPw3TBh_rFbMM*DgWK>ccrmsYMH|NMDZaqp0uNPU3q<^#13>U}^dRUKe-I)fajX3`m
z5_Ew2NgMV24%`2htmYccY|5S?y)rC%uCjod8;6z}8`9`a-Jc(X5~v^6JNE<{#7Igi
zNb1WhK-!-uQx}Ft*Z(clcOYMZUw^sqz)<1y>yWWI)E0EHN8B+Qe~ir-I@y+ZFp=-W
zqLmKlyT77WP{X<zS5T=4%h213pQy-n@-Ct8t{~xMcd!wb`bXDrA{Qfm=|h&O{wx(g
zLG}GFf|o#Y3K}Y+<T7sI@aCh<n|B57$C9B*0t&b@eXyRZWg*yRHD+ZS(J3m?;gWa*
zSMX0AF8fzfS7K(>YOtb4f>ZKyT0{B%9`S8r{G~@v@Cy;8uqfXwVIoyP%A^)dzC&t!
zpvXvkT-`W2(V>X)WiRY)Suk3D^c7$vMzV2J`CfzuCy>`5LSI6P=nIYyLx*Kikj27_
zY7vccu0*sD2=P$TxN*XfA)diZ)Mh*(ul9odaU@^SB@<#19<FqvKnofX8gzm!5Ss-N
z41%?Tw@nzdqtUv^*Z!jP{w+{@6k@T1;8q*PHi7(NH-P2WesH~50qP)nS#eQe5ezyS
z_ox!07bZ#LXOmn{WafLyXnW~wb<i~vWKaB){HFAdt)5Ta=Lz8;=-5E<@DSA1)j<vG
zJ*HGRC@O?UMs{2Bbp8HKAsb6L)bI!%pq6L2O%xq@Ab|@C+eau)?`-40y5b1d&||y{
z6ifPkyKW}vg~P3bl484x$#_rOy{p_wdxTSA9zHQkG8axt>PT6rgXHOI{+;kR<lKp-
zAv&VJn&anZel9(IsY+BnUwS^TPz@SdbkrG|u0qJq66IpaACxRjPW1bg!Y<!QlO>p-
zxL9uyW@n{#(90S{>t^H!I&W5}X6A)L4nI-%%*mnj^<me_#!9<i5o;&nX!wx?8)#}Q
zO`~x6-q5xCh!E<Dp$##zceApQo;M-6bi4>kZeq?+yT`hi?4bY9<HGQ+9P+Ki;c)H?
zgpCmgb?3I`^K>U+c6b@Ws-*aW243)YjWQLcG9}{hVN?yq`d4i1o!4UlU%p)<wmhGb
z6sE*C3`G2-fyqWxKqr~@K5FuZehr2wj%+HfaQ@2oeo@$QFlVrZ?Cj`Eq?!ABk=-Va
z&_WMNhJ+mS^5O?+zZ=weqEDTkv;JFAiHK8W$Z6!?_y1t+ecRzWC5N0<(#*tDLWq89
z(2})q+Q=NSKz6Q9Bo|D$UT;BcD+-J+DYXr-RTcx0W{|eo3v2d&WAuNZmL}syu0i~n
zeIM#MtHKf>7u*tn{zn~g|4-y6ZOt;Zyol@k01Z^^kl{(ZPo|%x+WcwXVrUiEYva;L
zu0zWD1CXZf#exm6b}S~!0`?^IKIU!L4rUdy$7#LOjWnq)rIm@)0Cn}UftRk|<%(0p
zZx3a*CyLQj^Tl&PU*)XVtv{ZOo{59@;&6#SLWHQKZ%eI_jWPLG<RI0>#{&Mh!|D8*
zBxl0phUWqX6;v>X-0R8yb=<$3*svhy_=40O&dKFs*mT^pV!t#)jhT$u_f4*ADE^R?
zBs9&kSuzJ2r9}D`@5sTftihqkK}`So{?{<HbEuF3!Ch^dLcS+nR*LPuN>RQpUP_(<
z*aZ>DHP}&V4pJ6%LW-7=VwjTX-99sJ&qqXiz+CZQ>#+o9yRg$~{;JIp&S*6%CWE$|
z!RfHF5oXwAJ6)YFLBeAY=V(&G(#!0Simb6?3<T&6n%@rgC5}(fmj<<w!(NQI>k|w>
z`yvU*R-)g$jNVXT{$vuewP97{))&1{IpQerUSIIby*wSRO;I-$?98F=Rhw|hgUOrX
zm|u629(%XNNKACbk0ugTVT_n~cd5S$omK+rRvfN9t$2&_NhZz{j7TKc3TWMG8GXwM
zQ&3^lZSo!~G!r%Vu>1>Jwzv6%n#zO}N~fFFMceB!O2l+oqUpA$n=m9_sE|HhuDHr8
zLB0>MF6$gA#gS!!*!TXM<P+1YG27aV&%?@;{j%mZWRw&FIYOV%`%K1EP1!FW93;sl
zkeh>k5!o1fETWB#&E@rV5vZm89V1JSV_;&EuGFCiHEXsw-&Evfp)a09g06%Tat%F#
z$TVF;I0r9~g+1sSFlTYby_95D4beTFFA#(iA+5?Mb8+oXlA}mw7mJc38<OIXmlBA4
z21}L0!PZ<FrTkoWbcZHbovRZn0SnTeE}TZ_dLob)pK6dUE*3*#CWB4H5URU7b5J@D
zxjScSB~$2jFZ0Cm-NlSCR*-{4yb$e0BptDg+90Eb-9i<S@k?i<VI7eBdx~gPL_&76
z&BdHGmn9dICf8#`=wnpv>Jc>`c6k$tAD013ahyIK@pFwrl4ct!l4u1l{HngnVim{-
zsZ9hfv2aaMe=nbTL`u}>Ah`V#;dU5;)Uo7SdQ+czUESd=7STuvbqUMeCdcLq5=W!C
zJ*TLiVlhmg_VZ9meIZDPU#3YJ9fyXBgRJ!4xcH4VS#Be5%_+0lFT|&YC5Vv;>vu1H
zRUnY_n+s(VqO|8Awmx*x^OETOGJlCcL1H$Ay5vcUChUKVanW4LtkJ~1WQZxM`Mrkh
zbVC&<^pFMd^zoq8llzqEg3~=L<OLKVpQZFDN;4kBnz8#ucj9N`>^1|5ls~U(TP2xN
zV?ZfL6_jU7K-=~CyQjtq&WYJfMXLizT1`&#WuVxo-Rx%70y?eb#D>rxybhRm(dvWb
z7(YKcA{w_S!R~zV&i3B;CTOaA+!^#YPz2resW(X6E1WJz<zO<1=Ja@cgUQv&ER23o
zg;D!=7Jew#5%b;N?{gs3X7l`GsDE_Sw6MZ8A4_z#kS)-BOC7WZoy4ZNY_XdZT>ESy
z7MN)_`)0h!am3*<9i3n=AAh<`G}<E?-<!RkQ~R#2AKBX{@$tKNcpx~Yc>+ngYtx_l
zn%lrG-^tWe{C-U2_96^7dciNL$1uj*afmtp{dsl*_U4C{*Ksm2hK(z3$Lp&`hD2<K
z2JgbquI}SVgvtsnWYs1RU4rmk^QS9@mPeV@KYZ}ycHbdxx;yCb$sKd<z-#{M{>9UR
zuG-(UAzCIC4O^-0;MPZN{dkDERn2-!gRU~YOa@I&k$`N-4b&nKNU4KV8vKQ-Z5P|J
z2Paa>q>%RAB_y6l;*^NXL=6ikOFZ1Bws`Jc_nzQVi!*?Ry|0-Xl2mKFY3XDN@T;JI
z9*v<q=;~SBqKp$=IJ-SQ+bh$%^VpzKDX36w;G_7c1HTH>SklycjMBq0{nRoWb*h=l
zN+DWmJlr2_MAc{t%3-Lj-cFlpCcg_=L_7EAM`BAXWbggAwYMQEy+|oSr7t}A78lD&
z*eRKrsr0}-Wbwsl1>T;h_sbp3_Qav^8jj#S9%U6yq*fREFn!W#*vPiHx!N;a?6Ryq
zdw;{ZI`@uMOR$!{bI<!S`L~eMWA@NCzbp58Yk%xc%*vpkqT#fd{`f)<R=u&D<!9WD
z4g`%(-!3AePMWn!qle#ZzDrQuwovAEoI9KYgR%CO%kRQ%(Wo_}HfU7Te-N|I_q9&s
z>+PE7leXRn#Y%lc6v}VSgtGZnRqd~qqu#!;bh~iUdH&2kna3RQ?CSPJz%b-bdqB4J
zXoge*`LiO>znF}`BC!SK@%NK|Z6`mddVntD@x?_c=)!4MG|N!S_|r(MrM`vztU=MF
ze?>3W083?h&lWv!B9uVhhtwdHS!go8+)f=d8h0&z_cos&)MKp7O?sPxBqTBg9QxJw
zHx_SyRp#)HjPCsw{mo@F_AHZUoOP;#47c4*$TbwL7N1d%6<C6d;%a}U!0iloRk?$%
z4rF<`HF^J!&={42iR_)=+4d2{q?u<NGroWHW?037j(zI0W3#%bX!Px!kEX?Z%g1TQ
z#WD3gcAc6Pa^bfmkDO*Y>mwF})Z6$u;;qoW986m9xSDEz>TT`=ManeCO|?984#WQX
zq*C+tQiEqY<V*xN^`9MImeju@V@I*Esd{<mtHT2sx9{%pk=jI~KHOcuzkAC=M7KTJ
zbdX&xNhn(gdNNwTA(VkO8=uo3!MSF4<^)iCJ@pk!cr5hB_hMgF%=ff_cf-;(lV(RU
zJZIz7j?Olrq51q(5ncPOr6ZSR;8A~q=qlGZN3>vWUncKIB!iptTjU49<z-QH#2kKl
zUMlgmV*#hNac=J0UI}~c>m4Rli^=rnyksa97qi-$6s1}Hgx|r@QugepJ+ReC+p|6y
zuYKvC-y!kt?w29i<XdP7lS{*ACUUW?qy&nA>C!zC-i!UCQQI{Iegp*3OD1NUya)lN
zNE>;t{hFfhf4vW%jkuk%jC)ASTxD%-#apppjxUU6CQ~~{y(7Ur|LR#H{^)%Pn4MNR
zdYjd=i_O*j{TwyMC$zL5Kh(|W>G0fLmyAJ6)vP8#)9sHuug#k}8{F3iGb#8~>c*)l
ztsf=-6>rpdEgoqqKK?LMxEkZMXki5<&9En){hW~BLj8L(r2XdUv%Z0#2Uqeq6s$ZG
z{pa|&!Q=JRD0u9pOsX>-ctm~t*ROY;PnIT;c8RADFzfZNk6bBUZD~?<R++4~>S7Te
zO8T8J-M~C|%?LE_u0PggSYhGXxMv9^VB$?r*D+2|2OZiJr=&#-Ie;d=XpNj~$p?3C
zo9btzdhLKNLq>IJ+xvY&aJ%{|hKT(#i@Btk(=gpef81gKr^qzuTZXKj=H*O(g3<VU
zMSuT&BQ>w0>63e=y}6RHs-og%+_4;UYD~O|hx>tmV-D*5yPH4vTBS2hS}lBdlBJ-J
z_ul4!lMZvu4)liHviiS8&rP+d4o}G^uD)mBuh*^|Rv#ZpuN7+xxH%QTp&C^)!A&}C
z58YfoVjfRr_DOd=v-eHam}5Q_@$&ZM^Wj-EZF*WN>*Z>0+MD_%Abb6>NIIGXE-wG-
z&yPL)zNxGynUV&;uiT8rpyz{u+9e?sc)Hr$3*%Q*&C6+-9w?IiTiyIRPF30(MXmR~
zAd|P**>i8D>&9-&1J)NSCT8UiT=}WM=FTVGq;*BZ>deoMv)XCreum9&Y;sH0#F}p#
zrt`(WIa2Y*zh%{8DYAd@L(J|&b}UPBDJ_676uY~lZ(|8m@0Lg>K2gtrqKGSUV%iIP
zrr*H4@Wg~EsTW%_RVe@)=bv_dF#h?jfkNbosTwPuA}Fv9AR-DD4TzR=vlF_*R>yL8
z9WuqmirvMZOib*)^>kS(-I~#>8Xt;Dz5kXw!jxMorpS)Dc(IF+q-ykXK-{mmLd0uE
z>RxoXNs%D^=;&a{)pLJM9~&<__s8|Sygug+*A{YjN?$Sduf_6LBALR^idi{WV>(jL
zb|&R#K{M$6#e%Zf`4WNzLyn*nCLZ?wl=2%^%<i4hc@ZX<7+1lcgqTk1ufhEZKF$ZL
z13s#9Zagj<kE$oVA3Hb%5<MB-d6L&S;A6?)vPXU}1dttOE56BE`sx$CFUhHRh&hMV
za@cB1=!fK}@&iBpvII7#>j&Q@U6kn6M-uP}3n8?(cZwW9u1-#FvYsJ`e2u>l_wICH
zV$<EY$wTw<T5#_jjVEi}98#BX)wddPt9W6{QqAr|^{Zm}87)75=lY0$P_r9ZH3fI*
zjSx+6s*X74e2eQMhjErK2UFxlu-$LsnO32@GbVzA6U_ohb;#eJF&FBlUy{emwg1@I
z-TWNE%6JyHNI<La*yWi2e`?Ze4DuKKng~XPtHvGlbDz^z?>0x5(MuNtSM@`3jW?_l
zHfcpgrv_>)F|20t>6>`n7)D+#RC2P%ll5pCZrmw;c3ch64*ogY9jDPQdN7+uX8kbq
zql8n(dgs@x4@z-eo#ySC5toq>uC`85IR5ivxgXn8HYI;FV@Xrd^jqShVEVH+BT#={
z4kKbmH1+Rde`7Pcbh<fybDB#W7NToT!ijTx5CnXsAOE;sUG}B-QWUi}(~;gr6p6H^
zx0e*}-rQ0A&~K3)D;x?`{|B+sj)!x@Kpp||X3pVvK}W|-Dhl&rhpuy<*K_G8_`GX*
znjB>!Z?_Gej4SZ=%#vO1i>S?4Pl+$891_8sm?j9*&SmC~JCTTuv857)&udx#j&RnS
ze33(Hu<K#vgz(SnvDw+`ksj0@U2W>?(g2qWNuqeyQnK^g`DDk+#brs1d%=hKwV@e=
zREWo6z2wQN>!11A__Lx`TVX~D3bXG8B-PBS0diPbH2`DnW?$OCmfTs!cr7-*%V|`(
zaVwu$>%;r|jD*vgx_4w{XCyG2Prufbw367xedG_xF^`}S!brN6b7r;Br>?MxwKc`E
ziYLivSfGi$oCd{5oSC(LW^=9#eVo&hYVK)f)rWKOuF%77X)t9sMc$hS*4gZS7?Th&
zEL{)9YS~1Q;v&F95Zo9EiH&-MfQaPtop^ymo9%m*@ny4#7|YNQ@keQEn$Sbc=vV~I
z?=nk=R)MkAr^IFs4p*^_bEmY;-PsXsVubAMaYUTFP$_Q|hRk4m=4phpZKTEpYxz1F
zJ#xCTK{txQ;YaYHjf8b-Z&EIW*##$1E^WS>q{HY|rvEqSOq6DK=Z2l{oYxyzLX#aq
z`Ueh|BUs9ccorI(oQ;P<hh7blMKCgUH^7t{G=T%a5sGRXujrjn+zjyl&pR<OD36#r
zT~F*GEjh&U&^m0;3pO)fS%JtphpP65<q*q4>xllnho1@|Rjv8ahg4&v(oWNA|L=s{
z<d9-bloF+9kgR_nPcW*M1UMRCb0Yy*Y7X#Avax*O*O-9mf<uJ0U<>g$Sp%AvI00eE
ztSGoC!-kBMq(Q@Vzd6(<*Er3$07zFb;M${Q74V^?+!n~fp1bHIBqVSe2%rr70N~_#
zTR1V8nxD)|nvg^K!g1725t-I+=nNB9JW-%oEC)DLIFHxj?&|9LCFntXuE7ooY(q!0
z1#khA%8I!*oW?#=XNC3C{#oK<q0l@rzYR&OZ~@A&kcajy6Y0?8-{4%m@e{V;+qDmp
zbfG%sC}K*))(#F>#oTAy<AB+iD%XuNsO+Duw<#30^HY+lp<(4sHge`74kuY{d`<({
zT}XD-%Id254GZNt95tk-P68Yet!evDRT2PaP25gUbpy^uz1b9M!iWk7r=8#I5TWCl
z1I*^~YBL{>{lOVp=e9FqK<z|<+@FA6E?%-D@XpN2Dgppf-ShKelWs5{bfE~J=Nurw
zIIQ`C{`1H0Ew3H;9OnoDxdaObFjz4d5J)h1#v;4P4*(=)dHz0Ha3sPg>S|V&Fgkg9
z@C*|ff=SGgv7C`gP|E+}qc)4tm&0;mMQ9#HW(c|u(Ul@rXaskrAfhtUfV7DWfXVep
z0R{WNKctXFC+orujkv!;67=fUo~<!IK_`|2FsBJPKR8x)c{U0>Uo{AVP>%SaUQF1H
z0rEGj?i08TbHtBIhPTFo)^!aR43uP#nZT0l>V^|;<!}rIO9r`&FW3Ow=m4}S51b8K
zrA9S2^u;5{+PIx7GA(G^!mmM*hJzCmQuCGi?PL+U^k+J-s%p4mm_&NNwnwbJ5qc6s
zW6AmN#4H+8wV#o8-TzsCZ#W}ZAC0l5p~>%{{~n<g2L=M05B9%jrnOjy2X2Q}esO57
z8X5o;+1blI22_~{JcKC;WkUeH4FFAd1!*a79yX#5WLnM?_!KS!u4e$itx~WIL038e
z*`WrfDQ%ABnp;_+Ff%hZ*iE7yv|X6sD086y<sO%`WNi622@Gs(n1I>sQJ1(2FDqkF
z$>2f&@M0ujISFM!KfH;{Wl2)I(twDFP21Z-$i9{uT_`%ECcIUl>Om0=4Xqd;h-D^i
z!uCJQLIwvF0I7%o0SFUdtdamWT>y*^ju%I>tS?+%dIQFv2;lqjFjzPX9<4l-8qDF)
z8E^9FchNc&JwwA)zzm^4j9R_%;54hS#}-6DKmgJS(CDKcTnWH-uEJ^W;mAkQIJBC2
z(k2YkNoDQr?O*&Zp2C?aaD6y|7ZVc$$2GxXiz+Cf@%Hhd<>G>V{`~pxTUZ*~3pij6
z0fm^Ch0{CkpUAo?65*Brhsyx>Maut*6cmwAWHpySIVm_8QeoJHBXM_1AeZ<U!_d$W
zPJ`Fmj7QejyMI`J|I87iyBr1(Q4_{#c4(SX1b`?D;lQjdAE2T_i&$(Yicr8{@H@`I
zX*~)G3T{n|W@5Mzr%YS-Ha0e@`sDv2d+Hz&{wL7~l@9DtS|ddXFyLlyNg16i@SlC#
zTCUTAx@0x2gdMOhx#EoK@Ya}rmJ6D(|M&0K1nD$u&;I8b`yOc5RM%|a3qsS)08y&u
z(LXE9P+5VI95WFcD_l;S1|dKe0xsq~un<s|Rl6;R?J$tLc=S9_rD1w49;{h>cA)^e
zr)Oaqd^3e1UDazl`riTCAq}r)@kKm$I{}_sV>yHmxNjuKxrVM70%i{VN}4q`_-cH?
zVc#7a9o_k(MA>y?l#CGI-JoJ4ucGoO5|=s=;N><mi$>66I{4CKBYr^xMokvLXmatS
zA;Pb>CC|1x%79^|SLi_9hyacF?-&4S0!mmW2A>fE0jMYaLg0;KgZ<R-n<-4`DiHXj
zP5LY_8E9xA0NIn4mPY*aqC9eK&9cI%8Gq{2i+b&}&}4Q^LeLpl=(WJK1dQ|-kH7eI
z^z^Rxw>|(}^Vs^1P@<Gp_wTrW?xi*wQBgqwPzhoafL;dNub`lyWXbccxjBQ!o81&q
zL&*Ad>}!e~MUse!h)_z(gfCwN;a7tI<wXGtCNZZ;JYaeCiVUO%UqcZv5p-%bB}0i_
zT!!sZfCs6GMg-_ACWMBY8?VuRDzvzm-f6KN8!T1Ar$#gQFTg{EqiZw-?_}<E;^`JB
z?&JX9Sce_Q0<F*7-pmh*EH7toZEKro^Yem(so4U~a`(4are&=Fczy{OL!jJ{$`=pN
zD3A<!>+ZGxrwfb+1R~~l{uXLZJ8k|0p#|R=X?@SlfKX~shr>Rz&3zN+&-{EXkO8RV
z2;!9}zv~Cf-=r-5{d)$u5(dzVP0ow`VC9(mzon2aoismO>WYqym4?BPBXKA(+f1B8
z($S@V(IBe$($p&0bsAbPN-uO5?MMPFoy(#Z9lkc<{3W0z5h~C7KKTRC7(hf^c0U+^
z;-Lr>;iKc@0m_I5R1t7}1pq98gbDbS=xB684m~azAvTOKJU8@I3=L%^FIrp+O_U#{
z>eOGpeuX=s!FQb0fT|1y*m9c&89?J%Gz#FJC>otSfyoNBhy@ei!-da3f{6hvW5N4b
z|79Qmxm=E-2GSeX-5G9x!!sNHW=0<mRrm$s4@n$bGLR)9BO{xE%8Y`NQfOu66EK9R
zHa44^PkTV8>0*Cg29Uu(dq60wsEA!XWsgTig##8koit#kTgcRg-Y|l+Ghe1s=jE>o
zeb!ic5Oa&*VMmr|FiGM*nnJ+I?E3UC>wu`Js7cu)(9n9zp^pz1hrEXeAE>y+0^I_<
zo~`%!6&X37ZSeiwjf^HCpYwufZrJ?91bm86K|IQrnBN8Y8Vc-Hx3APlB~2@_-l>fv
zh}MAKE(T&JR;DtNvk>53;h5}9y$$ZGSFhmsY<PHh=iD4Q2-qMs>I2Xx7@hB}KJK=B
zSt=uV>$Gcxv2=b#SUv=CY*3KK#8XR9fjbTd!vG=!@UDQ%zK~vr4?iftu;yctJk6=g
zV=!&^hl?fZwO&aL@{htPqc}b75IAAFH`l0qWD4%1XJlmL4cxwE{w>-f2?qd(SGQkd
z0v8bl0#D%eUuKw`oI#zE)ZmMZ02;W{q61C>@Z(_ym2&?6q970g3^)=r{*-lC(VKDp
zB@A)*6{{;Nhx=a-x(5c(*wQdTAkY{IdUJ>>)yoM#0x#}b5)PjOQOgog1PJ;ZGXN|-
ze5EhW5PqrG@G@pOxY?f-`ULJ9qf$Tuq|HY3Nv9Ii&(H7Qg)rR-(^Xm{TBBuyek}&x
zzz1T0Iw<~p@Apd}a1r!7uV5@E3^$5`2gukyYnsJ?3(8+r#&H1qEd(e!Ji`R!6!37C
zAK6f7r)itPaq)eG3Sp?&E+F%I%dU&VsPq=n`4={N0KBpkJhlL*_FgHC4X$wd{AxB7
zbUzW7Uef|k7*<+ZTJnhqTn?V*SZFd|7s<vQo{UQr12xKjS~HmC5V(#mt$C}oNq-UM
z+Hy}6DUT((_{}b_vJO3ZGx>i5#|8yn2cGAC^*V?IYBG2lt(J@F?Ch+p!;apJ34A8}
zHei~B@Js;s7G?c_Dwbh_$x19~6BvB8kj1ekr_jq=0AC3fqG{|RFjOGq`2GB!8&d#z
zlt66;;@|0N>bcL3*|ZmFFf$Bid~4<waO<2F+$hiCK=hs^cxJfd!bCRk7uX6g#OwYq
z8-w@dsx2nC7Ix_bK|{WcDljncZ_yVp{9v`DWMrU&fW5wsLPGK`hd>)j)$=%lu`3Fm
zAFwBbWM&1V6%oL_!hH!mlV3Nov}6E_BZ~Nm0S&NMxF*W}S4F0s5L+!Rx==VgAyBH)
zp~1kw&}+0OBIeKw23`fOr|L^%*VXu-LI#20NtI3(zM8EAxsNaEx)coPZ8Sb=gFIJg
z0x--dbZh!<5r{w)f{u<3gkH~ERzdUv|KO?8?(QzQ*$9wFd|-isq{8Fx4-}w?+FI<8
zkV~RU0J5^uKS9SJu9&ov0*c#aET^k81j*FyE3#C#cSNg7l_pKl-5E(}SeTZIDll`P
zuu)YEL97|?85?`LE)J%0H0v1_M59!VvO=#GF+bp3KQ<q3LV7i32w?BQq>=$?GkJ(L
zWI~6B->1#e|D40_Of6X=MS|R`xdsg7cTZ*i{wTqF{5T${`<8*A0^~FxKj#90P6I%x
z;K5PE#l`;;KecZ(0D2OnrP)|ZL}E8gxILv96-wrX|4$)dHB9(e)EjCVc*O`0E?|2E
zR5D*$S}cHbtoi&o5+t+j*W2aH!XvU^OM#LCAA3bG_7IJa&l$mG80X>Al#<p(pbq?R
zbD;QvWz7nn+f+l~b_x4uDj=m^d+{&%N#Qb~t)`Q30IAZy!~vf8gl3T7$0Fh#(}5Su
zL^QydIR8IKbc3Y-nC-tmgWNmr-yVP-Kt$E>G6P4n5K1=OQvbb(=U^Z_W;?DY4%ZEC
ze66Mo@b;wtHWI;=j%v!Z|Go4^nVDH@Kn_j51Lq3YmCVY`K%pH6vM6x2uFjyn9CsZY
zsT$;ex5vPU5UUx|b0j15B$mcf<iGcrk+?F=ZWb5+-|xlBVNKPT|My<ANeB=I-~qqd
z1H=QoIrMa(_VOSDa{dVr7m?A>HiN@M4=vxkfzT0YJ6-*Y^qy{Qh)1WVun<HPmn{uB
z3O8+SLXh0XTr37r1L5sJI0k_km){d=ner(E18u3nV6_XD+?Y3$Z_uUBQ+MR2BC-F4
z{)r-4vawts(gaE^80gi(Ed}U#=$}5tadL8k1cStT_fIncFkhgHlun`&Gikg8skYj?
zNqqFs^+6&`7|0)v*M@+gD-y_HJ2yT8MPC7sk*Vjr5cR)=j*X46PG_qyWvG03djjOL
zKnWNjR~!Oj&tT518q@^O8s&Hk*nm$gFgCCo;<g-wf)?)wEgBOOlT4FpAb@4TT=3m_
z0%ANGH#avrHg-gIHpT9biWxTTGAP^uLOQ`V+MJL4$s(zg0(>XTnaWNWtyCi26^g<u
z)&#Vy9C|en&|l~#G4&4t0x`G_Ofc|PaAPzx4CJ-&sE3Y))dR#JOF&R(CuC>C6ngmS
z`;I$2;eHHOm1siKf-e@3*oK2!2XfxrTuQj)5w3~@L6=>p0%#N<Kt87l#9ukYy3ikm
z(<i(CVj|pe0pSX0V0HgZoSmKRnwomH9so2+?$Ufx-b~ggbT{yLcBPLMio(qfkFoy@
z_Du%5ZDU<Y<^OgL473O}bry_t=sy2SD^kD^*bOD=;U9&<>nc+5il}STi;;Jk1pf~s
z)BC%s$#M<NNx$BNS9kWJt#qIq3h#$dF!~lkj>?B?hV9IeY5x^@h+)neQig+QS)auJ
zJAp+vJ~CF(G=kF=f`dL5-I~<DCCNn|@|~q~v)hSg*HbNy9(^_uzFeRH-iHY;5x=HX
zP#gZYrv}@dHMPXY2%ldq4_r>a4M(P-L;miyk9C<o_P@WsA^GBpB<Qt2vGB1Pudq-u
z47Ia6f^7U-27<@#VA4@FtD>UhD~{yq;53F_{9^{^bi|?Zhu*szBy0+|m6B<URE+5O
zHTkoFs|^aXO|{OUzf&V=M2XaBzNe6}e08C>wq}egx(sOR;3<y#!;i=z$wijx=CEoV
zGS=bAlaQc$A$ZYlPCO`6-Jz#`d*mr5@fw0aeGAwdxARbmBkNQmF8JXB&fae=HX5Q+
zjhe-e!uDeLHp_i8xXmxbX&%VrLJDZoSBHuCJ6M^vaEycHw62=7LA{K^dGyiyoC)+z
ze#c<(0F(9_TnXg4rl2dgyr@QpkUFc7IFfvS)pDIbRhz0;pI9X8ttH<*{W!3)5-jEy
zT-~v8U1j9cUYAITlt>lO?!dchMKrbdyK^w5^G|bd*P)wLX0vP9$e+fYq3PYZzG*-_
z=Zkni<dQbpZ5JN17(Z^3$j8Qw@+Q1Uo#%>Z9ik|dB!n2B`Cj(+BPQ_|DVdKwzTXsZ
zHn|gB8yVn)D5!08@&9EkdS&r4q+D0)LPAwxi6=D`K}4kUTY^?gJ4dnH(JR@?jX<s@
zgeB%}>u<pl_mI{$-VaIGSgRptNBTzNd6F0V<D5OiX_9x>onDJ2R3e^_07Odl*7=Xw
z<gZm23^HA9BWhChc=4<6vylw4ha2keb&OEbOMf1nPrdcgrH$pzrtKd<qc{)DUQw~n
zua#}gFU`x*pAlMf2+Uumsq&fvT>?~7$E2DF6OWQwFxi5fpCL9@DX2~z4i(2FQZa(I
z919D}iL_1?Ll$q;pqYYJjdX)GHlAd|%Yn&==p^+ZPP~a&B3K+T-naa5tH&b!0|Kv>
z#znluZIFnHz6jpm2o4RwFfeZ0ecX$(p6RC##Kbcgv}JAmsvO<9+~uY7^DD|AbvhZ%
zg!zh1^e1psPh9%fsb%-C$CIb|?gEJfCNTq>NzUL{;?`Jh{KeUhyros&;zXU*-|<|r
z5x4h@jzPDFNSYytFwp7Ak5^w^5KF)7jrsZV=m=&t3_aUQaT|oeh{~a7yJ=U`z>E-O
zHOtiV#owAyA?2y0dr0LShGb9_gKf`nZ&fuSBn@*L5aQN>7f(Tj<ogF~z|BU*?$4o&
zX7#DxrZS%-$R{1YR#OA}_RbgrAe$Q3yT6Xhmwd;GChUbe{MM%~7?&FHnLXre8zF%L
z31IvepI-Rym*&shE^lL2n2z&?r_hIVM}%Ng1h4dklsf(fr5TB-rdJq0D@WA3P%sah
z^TcMyT~?3}H}gf2K58HczK*rww>B~ksWQ$tl8?fX{P;XL3@Llc=?|o}HMsVrk517v
z(*FLRpo7*_AF_wrp1@d{s4w?}3hB#j7v89!gCtz8`ECfQHp6fs>gqr>Aih{_y4~Eg
zfG8>&Y#NAQWCT}8x&P^SKm<g6{z|I)<ySxb{RI^3aqEYKD-l<hrStchjCsNcM(ybF
z<au5%1(0c{$0dPAUJg`SOF{BsB}hU+p$vrDAe0GfR-3fhg4%&P$7Z?f>elv5E$nO?
zFO7Xb{j#v|BMAc&{)<YbwQVJji>K5#TlDQXOU!@H_pa=&7K5(z%5`AIEr*l)lhFx`
z+dpH<l!)5L`yyCaV{BwD_Df8>?u7I61ydxVB9Au{DZk}P{j8y#xH|beBH^8EqY1uY
zVJs5JXIcWXZLd9w5Rfig9HyhMFPN`SwVa#{o|-aYq7NF~m+Qtj{ZY7kOx#}|9&i(#
z#YbyD_jaqgBii3T+I~9FP2y*js`h(@?f9LoiPO#0)EI*%rYzxSCpTUP8^S!<nNRdO
ztv1HTgCs6#?k;XbAB)HlQsrG=Ez1<q%m27YQ<L{t#~kma0!p=_rbVW?D-rC6H-q!^
zXQd42LLntKG$1JfU+546%J6dVa$}@B92x;TiMduEUKCW+H^+pAU0X2(tY%kkRJK94
zDQJ-x1V3<f3_rWP^S^r*go8<Uz4#FAxu@hj7ZYp2tCr0V%jT~IGMgoL-D>>TdrGGl
zi!fT+zp5fcY)~H`JW4@Hk6S^_@jO_m`blsFONI7lXXfienW6}+Sy+P&?nH^Q|3j+}
zhiL?6g=OTU<>TLt^lU~MEP@&9*yuDrY@>ZIm|_z*c0M~Xe$q)OvyiRY=?Xiodr_gF
zT?G5o#>k)k%`ZQoe<PpA$~!nInx-X4!u{)L$HNB!g84697a%0yc9*K*QHqb=fiFpz
z_~KeY=zF%(CH^!qZFevwGbpCxR$9B=-&dA|py$qO<550nx8B4@|8}}Jp`)8ok?&Pn
z+BZ(8XN$ERCfo;F&Z-VWf%Mlu81@f%ZFt^o{$RYX`sUc~n^xvwj#+kzF)Pe4*_)D?
zfr+wAbS%dLmDOb7=1u`6|H-yTN&cwd`!?R|R2o=);bdZp1lvGakQ^3+)ZZ#2gn^lP
z66}^(85qJ*aULsxT^bWl=B47v&4CXfPWOINtgOaZe_N3f6V0(bvM2%_MTD7O={D5X
zfVTc@kyof)H97!fCWAvUK)FEY<&}q$q5m}<O^{AUG%?XXx7vAovaSdUx~{{2UE_hs
z4Pc11%fbQv(NB$Nd@qcPxL-a;J6p31qyyHx1(xAloz>NWz+%l}-`LYT$=jW3*v_w`
z8=$TMdaCCiqZ{Ua@;^1~7bgtfx>(FVs>Elv^YhbjO1jBg@QJc<G4)SbcsSvR3hC;M
zweCXHAwAo64I*Oi59|2qXHPBQlylvt{jqyG>t^BqYV0hdqI$!AJv7qYB_T)%(nw2-
zARsLzAfSRY(p>@)N+`{sgh5CnEukO+f4WoY7HK&5KI^RW;r;ZkWi1!8XJ+pw_P(F%
zcRj!2zmLC7DX$CA)-K-e4Uq8>KI~cgarRZcXQom4*erUa6d@xW4!1p4f=G*Hv~}*E
z-FDrs3GiaQ5{l!);m-z-o0Qzz?VFRUl)s1}s}9gk=nvcOp_=)nrEskbamD-rE4T%I
z19@C{sKkRZFRBGfr{z!^br5C9yyZi|(R4;p>mHTw1+(>Q?hy6_Lmy^2B7WnRF8_dW
zXCVi&x#h0I$|or^ee?6Jfx+VyQn!j6O;~)_MsP~ZZKN;PhFfNXumJG+clayo{`Tbx
zN6Sq1ISp!5)`@}fX96o8OVw3oAo)Cbb-s$9>X=qxZcW=*YHiPKSQhJFc_YtCCmg;l
z<(GO+0(qIH)DrWM2Q}U)&vnSuB!){#{ZAf0k+tu0OCFl2a-7VO&pGG)6J6LAQD>R0
zQmluBAU879dnT%wcExOP53`Q_go66g1hLX?U{pPU+$Pg+ufrQV!$wR`WUQ5+j6Iug
zYxpqTf#Wbr!ebbhQ1guV?2r`#Dp4cp`M>U@{qftHn&1BT%>1GW6Z5E{N-Rha!~w6b
zVQfyK9#mu4YolcAv1Tk3dVLiR2wINjbqac0-u8?bFZZ(&&P8^MO_!l3EF@Elb~ofG
z!bji0-9J>bgy1QYjwN>Sxr+<<cEDH=4#9CK&4CPuoSyy#6oHZ2BRmEmLJ_@d4=bS_
z{0%B__$WFNJ5iz&+m=oSp8GL)VuGYCwx}C;DApRAC@+|aVuD!>QODCLH9xBrE2}mm
z8E@lB)YDN^PpbRM`n`{XMjwX1xYq^vwR93VoRgP5mmods(8Sa+ZuRy>b({sq{0=5e
z3(i%r+EZpJd%iK(`eo3*CHO)imb7+bMLl((RLIJn*l`+L)QLz^8nb$2DtkqJ?w3Gr
z8SCs|9fyzun@+h59~oKhJ=|2mM_gV<LQpZavccm&i^rQ%Aq;^w@uzQ5Aq4jz7_tpT
z#^W-A7_^d8p2K(8__5!}y`;`B<lfQduxdf&D(hPP#h1fHU2fSw@;%^n*%j8Q6e459
zdP8N1xpf>&@IHiV79$L=eDT)C4e7o7Z^73WQH>b2&ncr5u(ermtDUi}(NdCm=9;+=
zXmj;kOE``gbSimtYJ~esMas6F=Pm+TG>G54vNFElSirj%d6KiQesa!95hx#qJ=<L?
zdU((5M1bUZ;BGtpCspi*xn!~!=g1kQ91S@aPv+CJb58uy>+ryY3T|u+DCmOfh7ni-
zsE`8d<;6Kd_Cf&-sY1|6d+{U7vZSP>*todXGYvl1D-z-y$Y~!d`;Sw!q{{X;7_d+|
zVc#Xtmkx|teHx@wzMzor8;oguUeC;1e`T@iRA+(~cZ(Y(ov`=m>J%!o7I#CQU@8HN
zi8+r8i>fHkq>;kb3CpJNS+1T~Zt*nsT8;!(&{ot3BSE@ZXJXHFQb1Nof3KH@gwcld
zW|+8YWfN`YT?Y4K(>Zr3G@kP4ADFi2)9SpwvR1kr(sYSYfD?<M6`1=#P+^gT(^QGl
zDfEN(eXG{n{dmk)Cx`Nhro`APiszH^I@HDZzs*rsul5gp!b=vw`e1ye;5Z<dlaY<S
zWp}-0i!ykIoW}%9k{o~7FGo?<n=Lt!vnY)p`-4H)-mkB0VOP>0#VU4a2G2NOp^ml}
zUmp#-<%JnTgLABp5-=uC_GA12y`Ik=RfM8-?r*AKOW{kl%X;`^fU-bHL1Rcs_LR1t
zRV_*8345|#aPRX9g=_XaPXx;LZ&}xDhROXPj;!hawo@laq)JV6MMG!00cSGEi`}==
zv$o^`cGmsCqOB?AcL6rx!_SBxm1Er{A8;98i-~IGRhD`gR^@3fd47P>C{s=L!{PZi
zon-97|JP6A>Z&)-E32>-ErXr@Z2<?Ci#X%jtBRYUM^@6t0dBO05t_Lri%uSKm(*ge
z*atG04~KmS=hE%=iy-uyK3*QLM&?G(i{|H=^Lu1+y0Ea2n3+lRQWXoF8n9-_6N3r=
zkd~HKR#9oS5<)~L@%M-ZIf+=ju+~SYBO4pV^a<v?wuxSC$||aII1;-?^Xsz2u*f8S
z!00RbSf)YJs^m%D?t27D4<23;UPi{20S2l<yl91A;yT=K=Thm2vL;x5T^Y@bl5N{F
z!WhT+l{8<bi66oc%y2Wh>^dQyIX=ZE0sD_(YF<i|H0qiH_4}}={$z7=aq4)iW9>5G
z0v^#{1o8b0gg0!ItVFMIbT;u&HDY{U#!q2Tu;n-VMDZ|-2_ux8;1k)RA&svdmTIV$
znWUqbYWsvA)-_5qic+Om+m)*9=zl!;?XqjvROZvB^Os|=Wkvsul!<h3n3RXuoM{#1
zs#-U-^%sAhr}88u80sIV4j#Ef%*llr3Go(LMFxSt;)cP*!IBEhtQh<C1~?<AxP&Hp
zOh<FnQ)+b#{oN~UMT+rWY<vpLDcD6rI!WZ%#COH3b?&0@*&bXFQlqePueQ9y+&H-D
zqR2^Aq`)9uq!3-;?_$WF_k1tBRhO`ep$un^J`l(7jxbXkX|5u>M_|=Mqt9$pOc;I-
zT6PPmclu{T%TG~~*P`+_s^9V$cTjdbNDeJf)|I?_hPhU&lWXs6bwt<F%RE+}qEuCC
zj%D|2sekpR&6i_&C9-T{@;tD;f!XPTlJ!5<r1w_)W+GTV6x!O_F5R4Y*-%<UwFqpQ
zMsh2lOxN#y>pmcudcCd4NE!d;d3wuYu>6+9HsNw}P0QNJ6PXn$@|X$^{f9}p8M_L-
zkvh^CA2?{?c~)n2!R6c?OQvL_bDCu^>0MRW$)1!$ce3)ugVEdy_mIyw$jKjl2xY>^
ztPA$f8_m_FWS`blG^m=%7rVZtlhusRX%VT`uOT^ei;y}_N0IdYdtaez^tsr$ipz#%
z=>(5*`E*&b<+X34m9B<sWf7;)pvGIaW`pJ%+_BKU@xiC_n`Lz#1bJ9Zkv&y5WtV;g
z6dxL5qqWcH$>?ypGHA(74zXG$a7&^}t`@t{OKzDHX5dMX?;QvyVisXJw*~Z?jj6~h
zhkg{?@T|!jxvm~qLp`J@VU^`geJATgD2p`MQy>3s8Ajv&jX0K>veT!0MNfQqG<?U*
zWbs}`af?cnvgh@w>#W=9OfE&4;yLICtM-m?R^dXD%tVsWaMB3F1=HU@_oY9|^o&E)
zpyzhL4wI0bsD8znPh&)dNXErROZTBJCPoUu#;mJ*M76i>SimK7a_Z;YnPYBI)=GuF
zQ>TZM&3Hrss#w&#3X98xT7gDmqt6JOUZBeaRtXJGt98suT0baL40Xir3wG6#8rNa0
z4C2>5XFc+y%+<$gGR038?6K?SkQlS1pu^9U?YiJ{XE^!tXk7UkRHFHPXD#{eDtpuf
zIqMa~aS=4Ad;Gy4m{vfu(o!-{Dg8BkjK<VfcADiTXwt59yOJap?d!?OAok|_WXekZ
zVRYQCvbLe}%Qdpkmq|scD(sA85mP^nSGP7HBKo2}@V2NO&n&I~d6L2v<p^2H?q%s9
zbkOttr<1toqo}i)8dT2ZJ2Bnu8xWqMc&zx>gb__m7`?!8WFaqz&Pc11{Tj%Pwq+Nl
z*gOtfIqB#M7p72|;bvzJk_ifR7(<~$WRIujX3XrHx0D5DxIP%iI4p1bZ>{;D11=X&
zasMu@pEbN#Xsf%c#)rOT@IuBs+Ek1qUE+0VvE}QP9XYgOWAp;M@MWkqM|7a6_Fpdp
zw8>yJZ_2f`(J&s~WQXzm17^);j_z&cp>vTN_Ue}C&&@I?UaSMvT)H)V(JXRo6U`Yb
z5Ag^7!%=3fxq1?Kb0E@FnR&v^hqa3HP8^qMbL2{QzJq93{C5G?0l!|oo{iZYB{V!C
zj5flf!czla`0(pl1KAiP6IT-CB}K<a)AB1AB(9wt*^orhgflI?#9s`cj-y9p8DBdI
zXT+aznpVYpbI8g(+7H2E8mV(;Eydg2TNq-%VIf}fTz8|}M5{32npX2eLO$v!@PNAX
zqYf2B<E7#}I^%|RX11G`4+Bnskl-Md0ZRC(N{RVm;(X<GRWw>sze<fX)pg%4wQC~1
zXYb&*(866BW4WXXdmr+}80zA#rjr=j+1`w<Jpof?{bGtJfi%G!A1MqBrW@<qeL0jA
z-pmnF*wsdY=-Uy|cT$&{oW@@z2%7BKj#E%bhM!DHq1T4%oPZQ%JDYyq@ZD`(7=3=~
zlZD%IwbQ7?B`Ez{kd3uBac>G=14&0mMCtj4h{azAr`}bai}N(4l*R_{*4($$e0qcb
z@el+BX=M~-OT0aj#*2pZhmf<qy~Vx1lg>;Z1n}#^CD`K*4HQsn>X1|~i1b{SWb*1`
ziLZy#q)!KamD7K&capkOq*S^Zd=&C-GpR~Dka1sr^`$oc60SuZhUd-|MY`YUxrV|c
zDI@kD=GCU$>!8j2g+1rydvJ&P*|{%?CM@uIpE}LWDQc@g<z=#_;&FlJQ|&J+%UuUi
z5xdLvo;jsh@TtGK=jThkBAmPXWqri;``X5MW{hnI0g1hAP_~l8OVt_srT(k&W`smb
zE=xZ9dLk5)lkS!qlU;eOU%gyA7jAh5U(?d7xOg_*on-XZbrE;xciNOhhWPHY@F-IE
zS8X%`N9hz?N81PMOe5>7KdxH=Kz%V$lQ1b^i$4oYt6F-MbKk?(d{x&EDd(qkIhv`q
zQlCH7HYO#lR)~Gn&-^0m)M-_fu9Tn_H@9tj?t78V%sk#M4$nvL33~Rt7qk_>Keg4}
zZ}5r}?^D3UI=-G3ec#_fw1MYWS5z;_?ruZ$#^5~>8f)R*`<ny#GMYX+!L&c#=BPF{
z9G!>aG|=5EUGDJsqt9*A>B9SJrg1QhktI7_cyT%B#n2OrmrYg}h352PF)PiNwHr5W
zyj46Wk{OlHr~=M!6>>fvj-e$_pS?VnNXlUqOn*8OXY`fQ^%jMt<&7Gz%^~V-4UN_N
z-f!;L9G$u^wDTGmv#_J*zr6tGOg$;n+*9~%u&X?U2hN1u7KN?Zd-7Z-|0e(L;o<C}
zyRK;+Y0PBu{s9?ECMl<AGQ@nI87+2B30|Wd$WxM$2GZhS;uV(^VJliCvzC0$V8<?9
z{I^PiptT!BPQ<k0-mVV5U=ZuBb<rbpL*0D%h%#R-p+FPf3uRNFK`CBJM(#A(iDjvb
z{eDT$H}lAwJwdH0_WA5@8)zp|YnwI4M~AcfynAQIQaE=^O{=V5$HWpAt_u~8sQ1Lt
zX9}*BHtQuott@Owu(|BGNSm33j5-4Ec*)jK*wD~%?Mu}odMGziKbUQ5F#YP~gwBvS
z_7$1+|Ms!=aMRCiS=Rr1L7hcoZG0u)7)T!m(^IHHHR-<*E9i~t<F9b`5FH(D4mw%X
z%5b|(;r~(B6nLIO{W^`d5Z{NXG5h=AYs7GoaGfBd?5}Si4@hDUrnaU(slPDZEw$+V
zqa=byx~HT#@%M&WJXydoSH{TMxrx{77p(Z%5~pQsOKf0?c`@)UYS2?qusSD0<IWxV
zH|YslZ(pU8eEZoHaArGIFZO&g{K{(I_S6rroi}t%s_z%ZL*Hgdj5h_YQjq%I>n?vc
zYJd0F(Pqu+ISoV%`a+}chgLrA3R@g2pUQ@U-gUoo-+x@mJgp)EjEsh=?==g9ZfoDU
zV>$b8vpCGj^x`z(9PjaKs%u=k%iupqy4xP}bgK3zB?(1&vr^&Wp19M3&C?N=`m?Ud
zi=#tI>W+(#j1tDjpDnU{xB9RCqc!;SCjFLW;iAcFpOIskjqz_%9Zlz{r@fOI&86%r
zl7(;5XytiiUVJpFlN}i7vn*sYh85QF_LU@#)h7pQ$^xc4xz^YC<B9?UyoTgnnpTaO
zRoRpBMQ2D1=G?op;MhpaSa9pLeV?6(?zc!~u_rs_Vo%4C9@GiTU$IYl$C-_T!GvS`
zXF@FS)y$WO*JqHi!a9AgDN}ZQT4Ca_ZIS&0rVZh@H|dUkG}-kI*~t32jm&TS`9^AT
z5lQ@_GojD>qA*7?$iPLYuhO)V?MZ*|w#G-DUbBYp0smD!{h&v5Wqw^mL__XHcgp?!
z=jM&wv-52cOg^3~WPO~2e^mT3R|o5UEq3KJYb%za7L@yLFfjprbKmQo__Lo<Dd}Q1
z+^)8q((iIQUvX{REip=9{+94M^C!vDL{&(hl9c7^&jQ;ehjSRx2=U&?cX1TP{P&Nn
z^q1TIGCk%6MA9q09$P=_D$UHs#+zJiP8v+})%IrtPREWnHhvzLvB+5YRGM1QJKLxE
z-n)Buq$bvY%Iip4s{FN-05ovzgU5s3_YS)>)UC$jI)~go7+`fKEC>2$?){cJG&Th!
zoqTJv_t8t{9z|g7WK8~0^GOD`c5sPBjn1_ew^B^j$T#+y*OzfLn$;Cra^sgu)dh0-
zdfl{}lJsyM!hdwQy{sGp?xqqF!{oHt48}R1C@FfY31JbwpkZE?Dbp(7x)Um{bBh%y
z!?uHJ$~o1blE<0zKvMd-+w^30x!cM>7+xp$@A^BF)rHKlF$>jPoGw&`b#4tI2Bj9k
z&GMG+$HF~B74|1upM^P`W*-^O#*$IB$Jiga#CylS3^=)F8oHCNWILX+;@qCSg7Urw
z6|aimmX;yMs+NkBu54MRz2iRld(AgC=l*%G*qc&N`j9;+oAcoe@(p;Lg4Z(cz<qaa
zy#03%6FQT=sY#(wJF^aQW#24&{l3T-msGZQxEgQo%&#WQHui`>?Qvo0<?+6Iv!G>m
zJ@@g&xeR54_wKmU-O1;6^pPaL$rg`}>}PXm<mE{)Sfo>f@F=g@PA!^)IPg#J&4(Dp
zt6U9@mK$=6jDdQA*62>!_FwTS1B2DZ%+jejiD~=~_s2jKwIcrv*Ovie5Zg@|$8~$Z
zeF{)6caFY1@|g~Ame2T?9bwuVu;-orPw)MhM}c3m4b)wG?FeZLc)yY`d*kX9|F>Vm
zC7`X{(7B*u|MH1g=^=(>Rzqu|tjIk@ZzZ1!Ds{uh{lR!0h2=JQmLgso6^Ap1#lki7
zg})a%hH!%LNOqd$p<w!H-skAZCQz1CD}6_9p*KU`r*lt|grvc0rxhz(%VVYG;tC^U
z_FL51xYeABZ;t;f-_i_5!KEJF!GcHU79#I8oBioScOp3mIKP7WO?;e)ZpRU4PsVZP
zr+83suRVvF+=JByB5J<9n6<)54H3A<{`nS*O7Ir}hk&fFZH~Xx%OBWh7t+q0kkZxG
z1f&QPhK!ECt1{m+v^WK0KRd0RT6aheM|0^GkBR<84}JR4M8ldBxBOFA(<h`|Ilkn>
zgS6+8RM?7C>bNjmXEj`0&~KjJ;|K~2Y<xU6_HK4fqI6-dCCR3*JRq2@;d(UQu4_EA
z4c8u;T(0dS2RD1+(32S>xsUNdir>ScF?}*io9!$WT0?=oPNWA1Rh<1~b!MtE*^GC4
z_<>}6{P-d^Eq_=Fbw<*EC($4sB!?C1Qd)x#D7Az?l~kc@Y-xN@Q!n#7d}j95ix|wm
z2pk0D{Ghq}?{4ainMOw78$czCRXJfc%?Yka8KshcAz;e20`v(WAOtD{rZ23r?kix7
zh*vv2JbbP&C$J6REH@ofc!fl)*?H|2)Q;=imoZV=IdU(7y$g%Z^-ZQ+1<(gkQzPcv
ze;X!$w`W<Q^3^N)_|2c)OkEHuwrM5-q+n6n1-wSW&d!cU7m%|r0ZU{Db@yQ5Jy=0w
z&eeYXl?RY#Afr(z0QUf;W0#VWQVB7ub-{Q#S`q;X0&qwU@NLR1{r^LPo)#hiKqw^%
ze`RC$_Vz}wR3NyO0k;);HdX6!n8Krr$*rA<LLqu;@Y7a5M!O^U9B`Y8KxPA+D3t#C
zIsqI}Pzw;H?S_5rNQ8RIy5-phq{U5}PNI#8DneLCLq0s|XTw;iz(W1?XA2beT>q}<
z`k$;8uKqLv3>(o+qgnvsi+Q(20~bjgSSlZiTUjKa)RhBh*<8kZ2c@0hCT38igQ1MA
zrl$7EqyiV<HQ=XYcUB8?<jVO~boJ~c;KMj$rn2n2RbjfixF|qiT$rg8)Rx_+!jHOh
zf4VPO3)2xH^<wS9o}{<Ypk7DwI4|+5gTC|Qa9iTAlj}YT+JLj;X)gvp80e$8e$WF!
zHT1+Y{!Kr%O31GUi3FVQ!vvhtyI>rL)Wbu2`zZcriy4pLr$R$R=l=YO1f^-?-ibQ}
z@ZmtxA_jY4X8iLfo^?8iE`Vd2M;G1BC_yNG$|}Y{3@vT87LTXO^ySWu3#{0H15`q7
zqSWxC08PY6=f(?dWhrs*;^8N8bT=_s1COo(7P_N)PFbwaI|XC}G=MGuGco2~>ahbD
zmXwr)(0&L`3Djk??xxYlVdGkttH8hZLpVfYt%lU)RN~nb%;3(}VD6OqFEHiKfeh&l
z6W=dBHg;@%<1c7F&oYI63j9{BJM193dUC1dPheE6Pk%D6)#})GvpHz+d(UQ&4VAj~
zAP~}kA#)aXd?yFcb^w}WCJjdyVj|8EciNkp+igHVadB~RDFM}ZAYP<EgS=cxM>GEt
zczC!@_c%2N7bNzRR;XVkCI-KI_b$0_cXt;mz4z=1wSdBgCYc@c-@y6-{8wM1Inq1<
znp>Sn&&-U2a}}!^yTtitTS8FK)_@8J;x<71sJOYg)q}-+K03%TtQsg{P~10LUl#yB
zbo7fC8pkDoi;}UhWdGWJbiw+auo>^>Lz6^M%;tkk0KBanz(A(ID(wN%7Oq%3TwT}o
z5rMz!qohFZ0R4v8TA3{O&(#5!M4aS6(Sj8^4_4bip|0lQA_Pn$CXl0Gi$>x#fDj`f
zRPN|H__w23gU-l7xhgds?zjj5Dzaq(i2di**JB~oysY8=D^Dp(2$2|{oUjWEQy|?I
zEUd6_7Y%4tdsi32@)nuZ2?NX*4B1UQSfsjNa91&wM!?PV%+Ur&@Hb%FzPLDb2J0>;
z``SQ$3{s>HcrS7)s&MdAw!rs-z6K_0oXo5&che1i;N1uz6>$@+#`>R(Z~lJa_}@DX
zWLE=mXd{;wr=-wUfVUw851c0go*_6mps()6dueL02G*ae2%di|#4a!JpqfowoCeS*
zh^lMttd}+~z!-;&jYwle@IP>21EP98$<!wTPHrxQF2-tIIksjRV_|?;u2iSV1LgBr
z<zq_N$RXhsm!|b(wG+b5!Uqorm=Fgb)Ndewj|F7d2G$6WSQRc2T`(Zge_n9Aq9px~
zgh*IqkXkS&7uQ2z8ILw9`pR4vRgv8WV32HsB*|_o9;+3Aw1|A2gjFtc(7Krltzd!4
z-Udc&S6DgqD1}CYP+)N8R6y%}AN>qEH9{uBHO+&84@nR}?O6v-2*N?@7wh3)x$<M)
zu#pa&!o8K}fT_ZgQwM+q^MI#9JsR12f|}1T9N2vZu_xh>{pWzIi^RHsPUAKF6b(x7
zC6Cu%h}mxgqdMcW%#0itFfe=qg6_xV{GqY2gaouV;@aDlk<lDp*aZ=-Fn~1k6hbf^
z#>%eVuxyG0@o($+IDK|@w!?J27%UEhFFbv4p;`2Bd$tR<RuF=%6o9BF8yFaX<KBjE
zmIQiyP$bWT{9Fm3G@xOxK=jRjrxmZX5tE#9L=!RD+x0TQs!IXS6&Rl29UlS&h@4fI
zqn(H05fR91!>X!0yBmEQ<sNATkF#0}zqR;E)(4GY4&eILS5|?5+avQSob0$Cuep&n
zTm~VS<-?mbtP0(f4i;v`pY)3LCepn4LL1b9OaxLooK*gd4Du0eL6_%gC7S^APe(e#
zJ8(4|d)mXr1A?#<$U{W+4{wB0h$&5ohW#-HRTfq~>OE}Q)}wh6(-b}qFMKR*>Mj%F
z2LlZB-ROh_HBhMoNAB<Mk6chh;|+ylNw+0@I2s-R3mem4;l4m$5l)BP$x43a<GVEU
zw>%u`|51{|;7-CMi3q130t^UA6-?N_<Fn~ljWcU^nqb28*XK6y>;ZAWF;Eh~DtrWh
z{CP0#NDU`Df*Kk@!IAAS?xfv#2^~8R5{gm+sVc~b1xsGKP5wSaU_Xbc6P)C#FlV{!
zE~q$;m0`fDr4snfcNP=m7l3O-4h};tjBiQEwS}-oWKND{j2=M0?7$e8IgSe>XfZ7G
zcOnF16e+7UTxr;&p#zeAH=So1GHK4=Ckj~*?gJlvm4^o(f_^P<lpV+{e6tb)X+JKV
z*b^#tc6K4hF(KG`BNv1eZ(#i#1}ZnxjkGq{*aP}J(g)yMld`u#e<W<QNWj3tWs{R*
zfxuV`1k$ZU8E(SMk>nKU%)h~ThB-2AQ0u!mj0jPJO-GpJ<>f_&pBa$RmU}d8W44(U
zE~^qmwQ~QT<{Of07Z(@EW-gHDpt)g&FE20858h{(wjxtfs0;4p#KUy+r}Ak04y?o9
z3_SCeymia^d*W5#?Hz`S$U*EB22%v$ng8+Q2ajcwOu^l^ubvUcFmY<$w*eAT<z~j`
zy@lNCw(Xh1D_Ul*m+44G5N<puzCdCWThZGS!7KlVn%bxx&~lfxp<;WB=coUikZc>E
zF6|(!w+yijO%#J0%Qn8-`2#ZU15D%(&yIGH69r!Y`7~hNZ(_fKGvARI0fa6SvRMXb
z>J?$E6nZ+sk0g-*Ai!%OR69RE2Q@mfO9~OI920D10?`V2A^3*K_^XT!Cj!i8XxIVa
zjf67`DE<)*HxY}B<fF|VxaT6Lp^1dyxD8SsNDqP&j)=!I9h=x}k?5m0iGM)A?!l;~
z4GgXzu!o9agx)W>mq><NJr)+0qm%X0`L(t5SDkh+up?aq$udBKXbwhwHg+T%hk)Wp
z*d^r*Kv@W^YH7F*<SJqztG7y#L_WWrXu|CwyasQTF5w&xcm$G6f=yNo>ytNNdYAOx
zVS^2NUcmk&Q(vEx!tM@;%fIP#OB%Tu<T3a_g|g5w`JjItra@~+^s=EnjuYclZR%5g
zz#I&-d}&Eu=nf`ASTE1P9Vp~?MUm}KAS6*B4L#=;vPuk>2*RiMFiS_{Gm1MZfUVqR
z={q^>!~&@=_>)S|f{D+l1PHsV{!&YMxRK&`&kwr;cw`8wsHnW>VFip3c?bL4!BwbJ
zTB2b#K)P@04f7ZXy}ZkWJ4$ib_(#Zf;r|ZGFpP{f2gxIeMCjR&7Gr=}8A%TT>gx()
zCE_Q%Je|Enh8-lm^ZpYOd3&!n4_^Qk3>~m(;PeM!9izr0cKkjCT`G8hfD9KVB3g$b
z3vh=-LCdD(rz|qw!H}s0`u-ct?GXKiUvNi(+-AVY3A-qyS)=O#zk~0M#B3kpbr;_+
zM8kCNFw-D~G(y;x<^4xZGXCJDHj40uVC_OBi03geF+uDpk^8?a!a5e{8f^HtQxk1t
p;P1ANNCx+RwV@OIw8_HdC>PUC!2PS|upJdjLq%J;<hE7l{{geT-%J1i

literal 27084
zcmYJb1yq#J`~SU^ba!{Rbk~v!h|(>RlF}d@Qc{uv5{n4Z-Q9=?2$Iqu-QCaZ=lA`e
z$D>EsxbNASYp$Btd!t@xC}U$#U_c-cY*iKLO9%uZ0sJFFdjcMDHO}>cK<tuKp>o>Z
zS^HnSyoq#3BLZt$X5C++hb@-;E)gt<$wkv=<9G>`ZC25VR(XZ|H8hA;F<KCzKuxRo
zY*9WU?98-&<oZF>0YlZ+I;k@2(&vOpVq;N2AXDtJ_B}B}x7(31D|!eWS`)#BkH&Ay
zIwJ6M_i!*9o*W+XN)sLm16l~3Bq>Z5Sq?93Q=TZ24lU%!I1&*b{GN@eMF)Si8$AYe
z@Q<YT5k#-t_<D4oiHT`>Z??vOPV0gY4=?D8gxBi9LW}783ob5_VYfQB!$m3M7EkVH
zRxLiKEC)*+IR%awyf`q~Fk?9j3x<C`KZlyO`Q~ZnNb5JbGDDU-gOT*BEr$Y~9{-JG
zZY^~@20CrpHTqpY#i0^SuyXV`T%?|Fa2_almUeW1xzytzy!Io7^YcYwLPF4Njm=uk
zsI)?kw11`Nz9AmI=i%ZPKeL)>F}Huq4NC#TzlFm|QB5>3>Chm2RzHZ0+kA-^TD+9q
z-31vK84)0k^Yx0E!j2F~aj|^<c&DwPeBp##{<y4;PWp)T*10bPf-k2<gopo8iIIw$
z8UaEP%X00^sj8|vw(UN){q#YkQlE>DBG$#zQ)AIOrOWbZmxD0t;j`z@!$L!m+{LNE
zaAK2KHDQKzZ(ZEo!*ol+hb%+-EP|7gUNzT)i`E))*BUxzJm~23B{C|%_^N{c{PR;3
z@h>>ol)_=A6$9laEx*rSTb-;AHG1rlNIzV?fhsD}^Yi1A#GugnpJ`F-_E}VQItcfS
zkMkR(PCm60%n-cn2ftfBEoh>hvL`XsSRcY{3VAaSm-qhi!1ni7)r@_kdWWvh0ycb}
zd-_;pd=L!{jYhXkoaZcrPjILrM>0j$w#M_f=IS_`y$<6TmE+8JCcm@kSJLsAwnlza
z&$L({OthQ(7!%Wz%>K${XObNc|K{>Ao`l=*tJuH0>(g{epQo_={FT+!5Y;4>JZKa_
zy3~8&Us+;Ep<O}6Iwh-M4F`@^dhp4~(E|emu_y%5=Ib4M!ZAt53Z9W-(MnStA0NZt
zLO@8URjSYbJX@07=VZMrfnLG9N*|Ae<U?g8-}5ix#5%>=s;Mjev6T9?w)luhNaKZ?
zwD8X(VDqc@t7=lE-2@9VGIH*-G#)ZRTRaLuTS!n!cN8J(Sc{jlpyQn2h)|h+6{6R{
z->$(##&_$3_#epyo@8fdv%UO^1}4M$XL|5>zA_`2?8L-G_zZztMLfZ#fZJ=jfDMj?
zg~jsbW(2rm_tKIKW(PudOk`svu<_fAeSW9EqGwy<NV`*I3eTToLFj~qN%HdYAVDo&
zhYU<i$gjRVmy04`9&2zm^E>K7O@C^ILBgdUw6$dm?C$P-+RS#kociBrPCT`Qr}^c<
z!Vn1tgiF5?0;UFR6?CPKWWnsOzR~gV@x@981O$+YI8o`A>Icu&*{|ImcA!Flm8?vD
ze?=zcE7<J0A1xR9B+sHR8a`1UaHylZ!!h#}V@PZ#i|_*;u5GkSbg>K6Qo7H!C#oD~
zpQb-&xjPJeMC!zVkCc#A13H|_&Hw(w;cIqgx%ctv*5r3W3Zb`QhaHbJadB~tUWYWT
zt*u8F^Ukc7S|z$=>u$iR=jt6}wDOhmY(}$Z8s9Nmym^B_H(M=`IYK7k$+Z~x=nr2(
zufs+4_J`$VbFfb4Khyc)R|eCb$Ti#>MOfu`?YcgaN$U3R=g^M<-qzem6oz$-W{=$u
z)mFn6OYQ#Y!j2TF+(sWfcBkYDCzxAosHmup7T+J{=~r14Y2`lwE-4~I$esZ#AQ)z3
zR8(+ragj-jFolQ{7Q}We7XgP>`r}ipAF^6R`dlP?3oWEzC!`D75&X0k08T3&jEjiv
z1)Twno}ON*Q3K9&g_-h;7kJ%0JqVRCrRtf&Y<lHXPK&Kkz#hTWp#swx+7y?N=;`Z2
zSzKI%K)z^1m<3#;yng+<(dX2<nsOLC0e3i67JXyII-GlpZImoY>;|)Tb%u>CE%3L2
zOQ7N6MkwV6gTI-XMj6sCCu(dolR5QpZZ8i9;8tzXhrwmmP6b?qZyU|!;gYhSpQQBl
zI^mYPxcl~R6i(ez73mIz2pl%kR#6IJhsan;k#683z{TySN>y=sTUuI>AVeEY|CR~&
zkhSRK%kzLQF4C)@xw+Vnu^!1-SszNWyW5S1eU0+aH|w>o5%ZZ}Gqs)a2OcMuLP);M
zunug)v3zCRWF8aokt(=-n48nVtt?Z-nWe)#3az}n93rZeh+kaHa%m-;$?tt+4*vwy
z;_gAZCF=EPf)wf*yIMNL@xS7}j0^7yNgfzd3fcyNt!3UBgivJM^t9Zp0|yl~;(5Gg
ztdK4gI%X@#2P_8|GjPJ=<t7q$z=wziKHR;kW1bON?Iv(Vk?`E>Y;xPgqo9ZeBkDBg
z>ztpbB#B`bJF>6R|712dwcJD;(}&0qqEXm$yf#o}GfD%G1%Z$EBEY>NB@H2izh$~H
zEb1A{GgWVnE-#hA{(P#9EGH*dq+i7VB2L6`8gGv|AJe6MN}=sI?C9d6|8JAqyT=EA
z<0e;>s;Vj%4-Z9PAoB9^2_Q59^O-Es!wttE?go*|T##bI1Q*{bJv*~mW|tp|Y-3{s
z52(N?4DBPRc&>mTibGFNFY38RCP;w|9DY(3(ThrRxyI(^)xgJFTBoJ<*c48^Z(8Nw
zZ)+Aeb93n?%S|Ym)sj2Gqu_oCTxQnM+LeL5i1@B3BF>Awz!l3uRn*kF)64>*fSE6Y
zU4L|bjsjT+pF<33aAX7<cn*j+lUc4T0<a#i2U<^laO!siNb#67hk;O>Z#VI+G2mYO
zWOEc3vbE46@=fDQ^r-YL7T70XPAr;b--Ead4<mQL>9FaRlKn_#M}i!koT%0Nf#3&!
zc}2$qg_Q4^Y%n4UAMlB-*Z(qSnmzstEx<jz-Wtn;`#uaJwxAFcOqP}(cXxNotE-5R
zvEB2*9GO7zlJ12Csp}hRDyjsTzyRPJ1?_$#g8(KMPb0<WzV%|V!i*Nu(uRnL_-TzD
z#N{jChO}yJwM4-_oR}a4+vH9E$1bp<Rrb?7S65eb($X}L1QBP`#-=9b;bdMjX;Cq;
z*TC$Cx^7#2PP+#NSg!-X<g-3&N9vA=V8B#EZ$hb=#mXN?YctK+Yi591>P7z%vQ(d_
zb3*lAFa7hj>iwk?mvJK=@O)|-T6OjL#cwm*^+LN6`iU>tz@}kILI?9@_uCi&SPruX
zMMa&Ay+eOSKV~I?%7X6Bu8(%Ra)r#f$F~E<^LsUa-m+t&-Q(|84G&93TqMua`4FsY
z$O&1Vd+$jJXO4h$WBYf2Kr?MO=71YY4Scb&$^TgDn_0`wrD^Z%Lq3^(0{4uHirU_h
zCQ?+rbPcHGS=V|wZLNR%YftfWvvBuZ&YxyT0?R{!mJ#`o%|iCLhxMfL+o#QG-*4wD
zUn2=SFJkHFyt_Ow`I#xgtMK{d<(K9W)&<;^4OuR{uJXu_AK}}bL$@@20=E7Z27|d=
z>=}^7DruMMYrPc@+pLy_27`<eZMEB%3T#U6*Q^tS$a3DMAViGS+3RIK7faeD9t76z
zvi+MGBAddYlfY}%E_h2wK;QymFk5tpxW~@dQ$?d$U?#=7WznCQpQ+8|(V=<9!`NQv
z5QFFrE!6m8s)14s0)%m^H$GTnnTIRJfZP3s^;)@@z7UW}t^O`}241XFqT2@+QvhqP
zsks>j435p9+S1bu3{O6;3gnBKbzi_>Kr)i|=WSjwM~1LtwEc8>p6~e%Bq%Zx?e2Jh
zcBUgx22$RBe=^LQw2OrG1c`xxA$QyskCHMoON|}m%1_PJaT|!6OoR0&NH%|c!DMA+
z)h^a%_sJQulwWN1S=rga(9v00SxNlHaS2b4B)oV)eALJi4W?K4VA*m926LfSu15!{
zbl-mIFjI*Dcj0N8&R^<u^2dR>O2^(7g8}Kcdh<h;ODfvcvg73Okmarp*L_hy)=cn`
zMv4MHDc;_qetv%N)u58}#%p_jsq}Dn&F}W_c~NmR0kfK=s02G*%?FGSI!hs5D7hU-
zQr_KNy(<O2&1WIx>sKaGadC^OQUefwlr1fptbb*F-mZn$3i4B*cDWOr7Mcs@bz8mP
zO_mxELSD4{`TWch6KLrp0BgJLL(c`TCg?9goq!jXwYDg=e0vxi6qM{371g;n+qu{#
z#+r7d4KFI_H$}a0u68(=$MTXLwX|d(A3A>*h_R#|xv$@lMbfpNg@r+?s$`E>gWA+{
z7IP6?uJ~S*8~><p^$C76aMh4dQdQ%ePd7u4^aPT^fsmNUKCkfw@dFOZ!QUaVrfNhH
zkz5Vx&ItjlObt}+3LGMKi`$2!Pcv4jI$4rKqZ<bcrS_)=^s5NU#mqU5;h+W@+^=;W
z<z?2JPIhF~fXLiI{<eO0bKPJvYCsIUKVO>nxpmC78ZMOZd<<B=T)Ia2LOu{DHSZP`
zg^<dtNr`k*ktKne%z?sXiZ#>tpl+-mk}$tL799BUbR|Oe{$_8=clL#j`LZmXnRKpd
z(&N-rNd=;&g!1CncxPXXtT|o6?Az2Y5=gNW1^ztK<y8fzJ0;ukxM&dR2eKjq!oeg|
z{o1YVoNZj0N(Pe-8t+CWDM;tSmwC<?%iD9;xF91!6H|Oi&{9ak<$d9{@K@C7D9p;o
z4g2)p@iUn}#vYpC#fZ2x5Oj3*c_I`xZ8SFhqmE%AM~b5fO---85R}e1>LAk`-S*c#
zL9~JEqvTR)nldOELc>>c!>K5q2gq-ytz(MaY|N+23zG&cUN`*9PhuwF{S{rHo;hIj
z%peFpf$SfZ%=Zn=m)cor-=8pb>@hH8m*MKD`*eK`81L;v5U@c+#W}JGMM#&p+%_}S
z3}M?qT~1qT_SiOqY5I08G<F@Nv%mVCO-MN`GmC;hkXdf3&RNrk=<qlFp}nAeTHymE
zi3Q<1_(1)CQc|9k83rX0vVuA;qYCSL&e{iT*@rtS%;6zRBnIE?9MZUo_M2!>sH9I=
zpvhwts}T{%6H(u<zZr<%oIbuj)m#dAfv1(i0VU?ZyT4|AG_4G}1S8l#-|op#P>6CD
zhg~kdzu2v`5GLH8k#j#~(V8xY*1g65QzSRpDyB6KgT|1az8i?cr<NR?e*BjS{UTwr
zXsv>#b$I~I6fRhxAyFd2KfbG$=5%f!x-5A?5BvJH_EugYih=Q!G_8z=cC+Akvj-T(
zOM>x*7U<<6AvxCeC9Ra2cDtljjWv|{Sv4248lC}HyrZs;&dzKNYu~_tjB3c{ZxjL~
z{ID!}t?YoanHG`4){N(Szuvv`IT3@(zQ9{v>B={9cJ{1-?EMq<h+ad3+>XUlKg+~U
z!SCvl^^?r0V3YM0ZPB8ln#oy$p^R0~nx!>}#E*F$AZL9ECSY!i9hF9sR|uYOK;Y%A
z|KRjj#ZExT=M+)qG3!K3Fd1pI-k8j3`=$A*^?{zw^$mCrjnvFW`dl~)q`lovMnd$c
z&PJHmOa;xX<~#thcfz3^dANChD_dn@cNku$?(AGIzdMQ0{vgg=Hox<4c#CH4)8?ck
zFO@|w8ZXfkBqQn)JwozWN%@8PSmkU@iRw20%)!~uwnxj!j;g9qy$S;VYv%FK0(S;F
zO}P2TLyq;1&(>GuhzNT&&-YZ<4>Z>IM|Ar+EAZ4aQ!la{=OZ6(I5$oY7NABA-~0kD
zO<;c4k*llOe*<%*|1RZUnvXNU$OW?fr18feACy79|LA{6Gd`B*Kx}Y*V-E{Knf<Z-
zJAANjW4pAske)xWV!9{vmW5%iI^1@WEr5ht9B*T&XG%w#NK3wZqVD!$9vTp^%|&2j
zL<e7^zn$axRJc|8S2bOo2Es=5ke&#)C-G^ddX9SEPuv}SeGx;SAgE`aY!<QQ8Vdc|
zGOP>|Xi`i2w+(H-PgU-flZ$sg4aE)O?O1=FV?P~aH7p9b+enjL>%VI;@2XAN;5Isu
z=2XvsIJfl$(u();gG6oO8@o;KVp|psCFQVgY|2PxuvY$zMP)zh>S_=%XAmao?}pRe
ziq4PZ4kmw_dR~3c5>2dr+^q;6PMhU;ze%l;7cjZwZ8}$r@NgY*=+WluFup&B@;v8P
z>cZ{e>8Z3I8JnRXbDyYq#)Q8>$?f$rQUFek&1s!cRh`gDR>o$y0v8^=-b5Z!Vm{;e
zVF%%#3QhMbz5za1zK`Yo!>vO~*are3TUo((47WcA;#uF$o@^@}zIz9y4H(Sd;Wmm)
z<)VMPkWm(;QxZ8>$B2Quc{Mnc<nY>3sl^leMf}~J#k{ceMXbn-{O`9>JAW8&E|<>U
zMN7S(QS;g5zS#8IQ#tEGh5FwT)Y*2OxNmn4JlygQXkF~Djs7WqcdHO_;?GAGd2wLH
z`AjQP*jZznl`bfrS~^SlLOGtmq;)X0zs%@Pq1Vy4{pZwNA|v?#ZRy|Eq3JqT<_4cD
zJ~J~1uAKLWGz0HhG@grXb|Oe`j?q8-?T|4NHL9=lyT8Flc|t(UE-z^P{D+Us<Im$%
zuf>)0A23C~yHOb%o~6!UzvtgyLUl?A)H9WK?r$e+G-;zieq<ux$#v96>JUsN-fJMi
ztX8?fZw`5c>^<V5BPhiomz!-q&vM(Gd2DlMw{bt;>H91dzq*4_YKWp;j+G@d%AcSq
zvoY>$$uvy}X?2|DiPO^O+RG9743Uvpbmlv1FVXX<U94t4x?K9}HCw$GFXQ&%jWBRY
zo3T_wjBjf`kH$y6eg-p@GVevBky>gSu9h<Hr?3{lBk7+uXy7qIFg4Bkv%Wj5+fC{0
zlA0QUYV-<nx$&=GSMBrD&g}^*fx)!+c?rLC&IMY@<y*a4Hd1@1rC-|>nZoaaSB#vG
ziymkAHO@WUE$#OYOb%}Arh}NDH7@9uT{*{~qzgoBknx9<)rO+JDyKjHO~`F{<bQr{
zC5H8+ofSBHPQ7ZZaEy2A5t)=mo{n>01IzL89qi7wx(2w6`m12{3c02F2<mzA#tY7v
z*{@DpUEpm24la^k&<yD>%9Y<i^evJ_V4$Ui#Y?X`>e|cdTwihMcr($E^z#SfGkP=O
z;(<v>?ZuVBGigq4KTP4g9<W^f`Td)E6o-!5Y=<M|_{m1rb+QPr*5{{p?|%@%uqm(7
zmjYRT@6MXZ*b$7g=HN9o6O@?@9}@>{T%Izzx~fI-BO@OjH#iqw?N*p=x|x_5c-lL3
zTD;!voJbO=G7bD<Re2B-&2V$9T(3<dxx6do6<5(W5Wy|V09!VfcG^%&y^IyPYWMYZ
zHEVFLY4zBx&f?+WdIO5Yas&s2pPzg9>3Dfza-oqR9$z0UGG~aVlw~|ii~RdHa%Xa-
z{cwTt=HY$4Y3Zo*yfDn?bY`w<5oz}n8*6=YwwB$dmReL+(4J(xI~=+@UFaWodx1Za
zH8fiIT4B-il4pE<$S(&Khso8eaMXS>*SqGL-%N?YR|69YTEUhgk9R#hA6z$P&Mo|3
z8}gIQco0+kxScAcFE;&RBB{ecSoRoOBpU$xMIH5A6>4_Ia`Q%DJiG>~fdiG!h6<IO
zbX=aXv+qAKW|+H1eUz%i)mrg`7DVG+-{QsIePTP({ZSQhK^RLt<k<R%GrrsoRXo8b
zK4OkWV_;y^Ix>N2N@%(EDc2}LEg3KxWwpPtB_cBLlEN@qqqbHs_Zo=(987Ux)5U~+
z%6N(4w!6MC5z{sQh)aA&Lj~<7s_~9M!nXP7qFmlY!blBT=DEt~t(4zTk(c)}Ig&p&
zr%It`!-x#Zc=z>LTgx=CdS?QU-RDF!D%vyggDZKh&cZBe9~r8939<LoYd2n-OEV;>
zs4u%AwBwBQxJf?**$$FItzz(-wj(p9Sf3WS((-&6@OPe9slCO8wIDzf<+!Ge)Fa>O
zuyB~9Z_HH3ZT)!)Ri<g)ihEFZU&R~uTEa`=)F8STyj<1t4g7KWRZ|2;p5!xslft#R
z=m`BvposkPl4hYdoEgnCbf}jn)^0+yNa|jBc~aF=MszFay;o3xe=x~N(6i|vTp398
zEkc?G<d@S6|9kVfS|k=5ujK$q+aquDIb1#;l+L?jJr{jZ%nwH`e7n!+#`7??IC2Sc
zDci8-JW3M0myx%s1ze_4$0QJoNvT*Kp14`^7q#8WdTl;QZjgzX?cn>_t{ybC7TlbY
z+t`XT5>_E6fD<I{4za^PIP}NWKE$?KG=9;_>Y|Hk%K=Hc=ybi59_+(@>!+h1hxiqd
zq+u$zi!v`$2x%veX>4A={Hj!j>w2!M>s0z@g-|#>3`elVvuDLswKs<gsm-2LbRk~;
zj5X$UlP>uj^=p?_W1Qm-u@E)L3xq%V<Z&K_^6#&yR`ciN_g|r8NQAG9`{O02lQC%*
z;q3TBoV+;Y6?KZ@oFZ-8AwNbj{yrE-UG={)R~tk%d?LGs%OD%rPnm6tlaiI2#}wAE
zgY#zJ3!<r<P%e`tQXbxuXcYN?PDk1<4Q<8U(Z=R^j0xG?A&>OAm+BRE!mJSZ^V;P!
zL|Pn6%h@BCxkE;h<qm1ujTv9$=xKroRe6g@XL^Mwj8iCR_na<WS`^~#%TR2J83a*8
z(Z)8bkPj+;#Ic>HRh#92Kr#^N>aiy;AHsJLF|z_^uxj!tIsW2?YE;w>=^4=5Pj%P4
zp1<*?<a3zebKjpM-WX0BwbKeq`{Fns<hdWbBmx;RLfoJ4thA#2`3=g{h3=(=N6!{C
zT=rqjcjXCR`6AY<vT1Ya_xM$6G`*9)*ikHW(uiYO9f-XVh+~~a$Iy@@(ky}yJXGf*
zLn({Dcdu0twO=lyF`iKfta59Nv2i^A8mfqCO9j!3Ay;ML)<#7+K*!Au#z6X;xV4Al
zXo0A$i0i$Z8^db*DdhDB32jt8SyWrDpeZu+nng?(2oWlT1VSNO_0NYT*v!um;(LTS
zjxLJ`5y-_uP}PD^A*4fM83kX+72|(>hj^EDRYv%FRW!7P&|K+9rV6I*a~4siKKWpD
zrFcKt=aTNp$VoZ4v?Lj5vAV&FRG9g{s7Y#2DAHFxin5J$7m4;nF(iKV?pgm7L6}~u
z;IOe0k1p#Vx%>}9RH{{DO`%GNJx~JC1tLdEf-GQwcW8)r^cyl26^QO4)Ze9QFaOB^
zwa?;%!68Pd!EhC=m$E2pznr}=q~A7u`AJfVh~%0xoz}7ZrzF<Dgh+YeAy85JA#Prx
zSVXm_oqYsItk1Z9@?`TdGnt!TJM-P$QL#~M4)}BCaGG#V8__|-Oj<lwK>HBh*8~mO
zbf=|1C3>LQ0Pk&pmgjnIZO9Q(GCQ_5C+b?>s~P-xvWRDny}uZa(OPIes(90*JGm$l
zoZOM4C~wdhOTCpNG(ujii|!o2W%E6t${MBmkf&hNsLhR`=PyU*d7!Y!*}-@*qWRjV
zfWloockEE6XKn5svi~Wgpc9XaXdr$@=Jc|cHLjn0JR@ur+AH$*NrZo(0zZqKUX$dR
zy>6!jKN?Ol^8NSw$ciQW?Ari^m%DL%M7#(lp-L_iwS?dFiaU*KI0Pv=S5}2YssCd4
zNYFy^<i@h3kw)I{=e_d?BXFV4=!wW}U7(0=AQg-YQUZ&KY;`Ygt40+1O+($5fFQSZ
zk?2R;`yhUrqo1hE(l~s*LD724ovz<sc4i1s?a90&7~CAGkYWrfVq>G8QxJPcRb)zi
zHjvX<Oa9{9BihcX5GxZFEsm(TeAGwC^;Jl@SvYJf*A`NsggsWf{bH^md}kY*N({r6
zNcTmYx#DYt1WQQqG{TP*6cQffJK7(WyR;g0{tZHSG)PvvBy2Q3xj(Z}#N9~Vwj)Z~
zOuauuh@+525hSs(C9)~<<>pj~!KfRs$x3j!Arho<l2su{=D?P7Tms#2Y{%=27q=Hk
z=T}%6b3%FP>My9j<Q@D)N#?{Aw8a_;7Z_U~#r3_%9?O~M`%}jENgGvk9%j2H=5IFp
zVcZsU^I1UAH&S%U_=*N}HhoV=MC|Uaj%&dg!9c$#(-VeulAqAC_xZF%!k$S;u<ryo
zFEXbY?XGNLBY}8d+GX7fZi$*JIG?W=%0!o)Kj|aXa(%g99t%bFl)S^!JafWiz@@%z
zpBJQOAUwoqdFFnPh%bdTi9_4@aK~^R*-inqjAIplm#{{3;0v4Hb)^&n;oMZ?Y_SFU
z&<<_ShSK^E-abgByV8fY)9qXhPO|2IIDVJHNnj$bEa*%U*zWS-(#t!o$lnO&>p{~`
zRQfo<F+PeJ*?NNKaUWS^NW8dIgrGIie|PzQKazx(Y3GK2yqp@EVn%<nL?C_tmpty3
zZI|OmDvh(A$>gh#@vMm&^chk~TQ@o|l+#Fx4vn*^Oz8D}<jD;lwS?MagNRmQ2y`R^
zuTSQ=ljt$8)?iQ2UGP0rhtn;y#f#vJwA|UKH0&*IL)&bYZGZfoSAYzIGAc}j0-u<@
z_ny}PdZwfR`!Y`xK>qQsvn^lX!)p$$(SyI%ZOzbuIJ|{c4I*+4BA1k{z-LkQkE-tX
z6ys5EpeXlE6|uN$B0|OZ9=mF10jP`R(^~GIe<z=Xv1<-4hHim_=|Y~VyQ2vB0v@(q
z7J<b(yWY&1DERnPgXXD4FB&*wiF@-j-OhIN_UklZ+d{VO<u}o%rTPl)k8gj-;mbj}
zGx3OjJRUI{<`il2!VVT1<7BlW`{On~=3nezlkxJF<ARgSwYWmf&9@uXR#DNUo6CN-
zY&M1|>^%tg1~rWz5LCYRZ7pQ(azTFm^gRkH8Ex^}%!nZ2{;eys)H+1|yx^Hz>TD?L
zU$5H><Cx=L63|!*e4Wz4&u`Lr3$t3@plWUWFcw>?VzhC`$M-+QzI+_$K@RGP5JSRP
z#<*H+Yg!o37Zdn7p4c#wt$sFVFNv#v`cHCtx>$$(zOUc){62*f+VkOE{S3(b+fYPH
z_Q&X@D@@yxxf<I24W?>rn*O0I|14oqZ~QPYoyIwfOKo8=SG%&u75jm64B=Nc!zveN
zkZpGuQPaasOp&!Z?Cv@$;5K#x3-isau}M?xH}$6CHdCnw>B-{0(aF*H!@gKbXar7T
zv#-!Xxj_<^X0}ylJMkbmub5!R)6v-m-Q3#1#{h83NA;(|ENAs4vGy0K_o?9AQ?2I%
zcK)>K`&e*VP;KNOr_z(v1U2j(`|TzC&B0;uW0BHG@@N{*@iUl>W`G<K?=Ot*KPis^
z=Q_Gf8X8%yhK+n3gTJy?(k^~}&dScrupSXjvR{#Rvj4*oa2-c8a{G7_Goc+CdcC3D
z=<?%?`u37=<jZhig+WgRHfdTd@1wG6nKlmfD(PMj0+*4y`;983%&wFKQ>()Cj-Xy6
z&Gm|}u+7k*GU#yhtEw@UL91v7^m30rLq?|HXv}tf^!D=f{QCOXpV5LGgIG;9DO)P@
zRiN_6WzvQ}uH?cW4`;{nO0j$|*1wyVRzI8(YBe}<9Y*4phLLisX$5rLb+eBi9~*Po
zI(lvVh!|}b<4j!}cvXHl?|e;OW;)U_oc#JT=s;|^yR8X(?k(Te_zEpeBckXZJ1qPd
zeca4ZU1*4xu6a$rf|)N{?>MiN<9DL^?Us>&p$MGq5Rs9kThD{O`_@w6V?n(1O(c)Z
z0VXe+FbiAc;B<VE(VsQwt=DP4$l@~Te8bW=DqG>x;d*zw@@yRJjYL0l^B-Kb%JJ2I
zj!s97yGqAh4jyym?ws4a-$f&edMDiKx1@3wg@)*BxgTnr^^r<`dbo3w=9SF4#l_Ju
zilQM`t#xBHqN1TOZaHRRU}!Y8I<w9GGJSL6clKBr7+Bs_`RmqF{f)G5a!GN6^X8AM
zkxU=Y#WEuURei2fDvhjV1BX|fBOQ<beDQ*a4-2089hM4-L`4~Q9WHm)(W0aKnMvO#
zk8V%JnqB=VDXjH*ls3Dh4LmY7X4UxW-?-3R#ej+VW<#%v!N?5i$9s9Of$?zI{_OMk
zWdyA^P3dIs!0BnbTSSpEZn?3h)T<MbrAi^o^CBkZDvQhG*WpUNqni2jb#Ih+_-)6A
z%VaP1=aq8;ZrIyyc1miU7R2Y8+*r?dr{e(*VF%EQTHA4kotY}eI{WE3@Q{GRo2#Q0
z_z`IGwhTVIIIP5{7(a#MM>%$o8D9KTXByIo@G#3o^SZZ^+$y$g9S*Td0Ylhio%=N6
zy|1j3IR|uyJ08C|Gnz?zvM+Ru^8Q|I^QpaOtD)(CYFKCSY;zF*;dXuK=SIv&OB69j
z3M0&l)^6UPlM~^8+eZ$nK}lcW#E17qdL*@rHK)?ZX-z4W&^)H6E4VCK!pqyJ%&_$8
z<wPy};q4aVLBmVt>|TDM_ZO8hyOZCO9nAuUCceAx_Pg%SBwl1m`@ba0%V!+6<<|fB
zalO72qfsuDNbk>t%O(yfqBZnzvGh3u!&T$t-b^Ax()sM?5$HgClJ6<Y`QD%14IR4T
z;@>%e52_%X!T|a+#@lfx572`GFiW3i9ln7h(%(Nn3)qdr6p4=0&k>j+dDhu3oyU!c
z5x1~A+${YHFvgRI_I%lOIQm{*ZPLOj+E>#wm6({mn#5S#dX~QpNIr7$)KXMF#Vm!Q
z)0_|Vx|}x=>uiuk{@GCI{j)fdQQ&-f=cB9d+%b|P;%wb8lFz$g(`9S9VO<7ev0%3G
zCkJjMI*U@cvd-g@$LJ-iMrHT*c<6%Ul$tZAa@^O}yU}bb(y>p>nyh*j44l+KZ@9mU
z`DbkCHzp8ccM>m+k2|PRN!_^n>)Q~iIBw_^b)tOxuBu`lvjz?&PPfMY+PuZ&6HGR-
ziXnMt%;g~h75)+{GR>J#3V^PJB<O*J>c+cIEbld#PF&Z#dv^ZZx!x{4&Nv?T;O-R<
z+K#j3CoZt>&q=j2<|mrf+t64`kz@VUT<e##sBad1%19q<mirwY*G6$VU-^f0&1d45
z*0WMtT7U~F=*28`nCm@YW(dGXvSY<>4a`v<zrB=MI6HYWaB{{(&Ys{nuP?1*WsoEJ
zMH%Dx`0k_i$d5a+{6wpzs?dc99GtyuUjlUWy|-NYd}R`cg*lC*lVKlRONTRpn{99h
ztfop|@1CH~_=<Z06fFUpO3ISui^aD`^}zJF>p6R>BH#ocv2A`XYgrYj?Pb%il3uR#
zNXC@U{^UJ6UK7h*$VIT3qms&)@+YMEg>de*s5+}#Nr!4mDX8*!c*h_zYGpRaW;Ec&
ztuz(7^VzOU;D@mDubc)as~8r6hLMR%2l9%F<7K(I{fdrX(Hld&zcv}Avk%*J@@Pam
zo$6WHZDGlO=s2}iWMW71fiuaXsZ+C`Vmi4DguNs}`J@O=yj(w-v_w*!L6vzV|GNCc
zYAFo~dHK>N@Ft4;W4z42HzYjk``=05Fs!bXXulRAPVk(3D}2g!e&-|I;cP~8Y@>)c
zG?K|RztU4$^ebm`x$zH7Mcsj`aP-^7^k{k)#tAU`7B0<Iu%BdGxMv!8_uCpYta8TP
zcP|g!To!kno~v10uI1}a)VS=CadI;R)YAt3)SYIGL>yuO=d@x&zc--L<>*8r$E?{}
z!sl46T3UPUzLOpv*H1^+GdODa$aOZfE+@aU&x*#Mj4M+WrVFsH=?~RZJJYtjBH^(_
z(XC}0r84RW@MTWRuo|A(khg3hy{W+?9}2$z_z5FBHJ2_xc<Oz}JI3+f1>_ZZt_M`p
zzx8bh0!TndR%C8%%6hgYV%Mznd)Ifo|IHUpic$c+oT7(UV*sK`CSt~)y9>%f$l?4Y
zpVv&<g5GFIadm;qGUWEkdC58_(44Mivi<H8cQmJ-Xn5nBfuHm2rdh-qPAhjlYS|ak
z5`3B0?Na+EwZ%X9b8Bp(q;Ef3-EWY3GFyiU-ST*ZD7wC?*P&|);Ng<<KGsTXJQR)I
zK7m}{1$~GO!XS2-{*pwvy#J;8#kg4@!ms!*D!fupka+zmX-A)ZjiVinQNF%CeK_pU
z6uX$=H+>LdBnnU4_%mlMJhKVYW;c~@RKcG==Xa!Vxf8AQ=3id@<hqpoBs7>bsaQ9b
zH1+p(P`OF)C+6Ur^9kC+We5>lf)z{#6Ofo)|Jcy-TG_JPsTzGSw@&ao)?X>~mSF6h
z-^pL`);f*I=yK@zHlGp@Tv-)NpN_&5Tcw0k^^S%=zWqb9<kT0fIUVS^vV}HTY&9=k
zZfe!{R#@h?$ye%Vn78!?)*+*bXwXvch)O*g1<vm(#W0-2Q~No8(9>0jj1_v_D1?Mw
z7fgL8<nwX8h#?~%QiEANGe0nv%^&i<)?V387m7)Vh#9WQDH#X!<TpPaW3sEOH7-JK
z&Z<7-ju5)9a&lkCiB+Aw0A7W3vY{CmX*z0emd2KNzlz{+K3O_sABp)$-S%*uJb?K@
zAHJv4lOXXHK0yRNPo+EOGpCyd+5i6aF2k1degg1@Fo#YU;$pTKcQ~CTH+*XP@s2r4
zKQnWncgIA-htL1+o$N~jn?D#KQt;Dfhv$||oOsFuS*cLGY7*cx%-^i8LXx8FcaXcX
z@xXbhaKA0GcFM#pN>_G5MJ?S7SyB{nBp65AfA9V{)caW<+~&Ok=zh)sH$@DPKJZ)n
zZ*ZZX*1B{}cJhXDgBYf0D4zi10~i4&78dJ9nWs+)z!Co}R|=gZ^%S~6A0qx<tnp)t
z@aN}b!VY9Re@Y@&dLjzvALpGr@~nnaZ5Nt_zG>#*=;*k~s>uyfB}E0s{Pz}_&oBTe
zffQD&%uom*wyY!VGc)>r0BwMC1Co-GW9|O$;hdMx=|A;p9DJ*^!H|R}Rbar()0}vU
zT5w_r&i5>|hlL>nkT03rhy=is!5tkk0M+<JJP2q-KCc5~+d9K6(RYZzd-!<9@S+W2
zKrO%&B<>QcyiLYBp)2FzRMavT&dgI4`uTn%MUU@wH?plD#Yb8h8l`;xc}rqsP7=(*
zqi7U{8A{$TM1Y&f0Vo9A0S_NP7~J`9<2xjwx069>X`~ki3z)pTyih0<5Lpt}lFG`;
zS2D&iGYbnQfA!_#%ysC%Dd2??03e`Ya9S?#;hGiDg8Tt@-h#Gc5K0jzP+Va1d+cb#
zS(xHt3s4~g!stgWwcH^3PiwHk{-1V<BVlY?(-pJ;M8ypv4u-MWF11TRa$om+m}zpe
z(THY4i|?~|eVM|B*R|+P-&+0s4J~<}95TJg8;{r9uJ<nLc-gU}^1*1`F&{lxOu;q(
zXAOObwza?-ZvW337-aJ+3Gk8M!y)MzGFG)9<)0{x;M{Ejh9;lNpi~DQOc4xHLRI8k
z6Y6UJ&)8TJv+xcLNIqDIaYq3Ie#%4;<{+yDQG9EFA_2dsCDK#URP*>jJwrT)j~-I)
z|J~ZmPHymtAO-mOo*w*M$*+qEwO+yB!v>F-zXAQ=8P1aw5^y1a8%Qz0U(Eu4kn;bw
zM-*5T*8h8+DDwX<U5$Va!@P*}D?sV$SD~mduV}?fVyD1*k|h&J11Lgb4(*_emDS(S
zFhKAzaB*Q37sFH%8Q5Or%HllZMBB!P4-wEN7Q&gw8);^%03=gUQIQ3(%W)s68NesW
zu%5te67;nqfT004H2FJXV%=nTmVC%oNE=ul6@7iOi@n)UfL=3-i&Gr7-|{rOZzBS`
zz{A(p36F?CjV9%d18@8)HtitHNKcPI5&HztTrg-Dl>+=ze%c*?0t{9GBycOcyKsX7
zxEk1ch!DV;N#CEn0%(`{^~naAxI5cVYqygofC$MyKHP&7fWW<_4qD$f=|Ua_@1b#9
zNEw$M=L~t%BH}wQFJ%V@u1GY)G7>-v8sLkHistH7m_mZ$s3l;!WrkP(GM$&f-5_w9
zl!V6^O;L*v6!c_RAE;VzRyGuM41&So(+nkGe~7sB@!)K3y#sl7clV1XSF6A6{*-X8
z8I{&A2oy!saKIMO(=VzmRRPk+l2gK_R$V;~jIRL0GrEs~AFoS#=-gRHL_`FDut=Ds
zJaB>>yx{}DwpRen1PSVRe4vy7NA{4PIWn}re*Ge^S6~|MLKh32<-&kgYPz-|A_RTF
zri1~jAIgaV^9j0(5C}jzQ(jr1cfWdF2fXKELIvDROMoN1_~2It>_I<tE5zJ+a2jra
za5u<cW)Cc`n1j7F#Ge7~P(Sv8|0*@%R99@3zN;akTqX8@mIjiWJ>tx%;5*RnfCK?J
zx@Tx;DAfdAzFZL)Ud7BLB0U3O$Z!EE+m|Kg=Can0ZRE)cbO<^lcIe1m!ZX^zt>;rl
zGu2j@EE-vnfZl|G!FpdVc)i=3;WzT+L~Fu;+ikSEi9TRx(?y(VG`@(3ulB{fnJm(Z
zjEn2fl?$!(Iy43AHdFmxZjczh8l1v9bd<slvMw%sAF#+nK)KKDBUdONjxk$pBsZw@
z|6T&1IwVva==YZe5D1tnr7z+hW8c)lkt6)BaDUoojj;|4T@<7mt7~goZN45%%*?Nc
zJ~0=Wwl$YE6NMQ^!KceY0HqoLfN%~C{DDg#0KF-FcccK|_<mgz4Eb_!js_+J8r(ZD
zkZ;uBWII(#4k$8X6O$x8)a1^lqo;CAJX~D?RZ)mdE-Q#|A4*9X!~8520s)wqwhnyi
zUI3uc$Q_J~;PZ2>N<9adENC8MK;WBjf39xj-@gx_4b`)-K&==}RHc{}lE7JINC(#F
zeJ=|}@6NXyz>}|RY@h(z9)6Gj$nQRYQ3K1ik8whwpO#|+#urd!$9w~*yydmEP;m3*
zOy_pF*=nnI0AROqVwIGnD$%Rx2Wy;|o}O-P2ILa}w-bR=(SUn3U}~bXqz3TAf962M
zsf(rX0ZR_BZ-8~NcbKh45nrhBuoI*>28Pnp)rBxVJ`TrRS)PL<041cF*^dB(qXQ8X
zIQP+PsdOQGl3K&E*m4!TZ0i43;v2?SP|F=1AIs&*hcB<J1cL?x8X#Z2zX^wghQ8aM
z6S_Mcl>vaaT)t8)AE1q|Zf*djhX{vz0d<VbAP-g-P6h+~uFzgNIXZz*1q)hf<4`P1
zBk2wJ2p)5=t|~yZk(5MOtXB~y>2o6KK?%rTxa=V-D+|!I@R0%rG>CKI^xp_3Dk^GG
zF$OL!Zu-c-bvM8-egqY|LjL$Nh}>IKWk#uH`E-)#aA$7u3Z>fn*uuCYfO^UQ(&R)~
zMyA8&ZO`;HDIk9V&G~`|1(+h>(;?svp@V}ec=$w$a=<MKW+Yd}f%y4$vIqe@Gf}9i
zKx|W+Frv?m#~+09zV{nOFPKUYWMu(iocrgk9CVZl>G<+8qNIegKb|)J=*R`M3J^C(
za|YV|Z{dC`nL`I-Z6H3P&q5A3qu-X^;6w?R+prb_fwS)<2D8e82-?JB;{O2lmvBBK
zh{>s$ElDO|jg=v27Xm<g7%-eh|Jw_Jx|O}Xk3g@{4F&)=CeX<K^eXh+SIT-c8(ULT
z6HLDa5cvRvm%N_whr%Gc3WB6lHd4sJdM#T>LIH3L+rJAi=Ng>j0d@%brd#JXSV(_0
zVIYP8A%pRW4Y&qCDA6HsJ&YgdiW{)h&{;A=A$ABAobQ7$nIVDfUy1inGY#ng>uMHw
zFQgPpf#T)m#bwe=1a@Kl-b*}JVrY;UKHB$r^rBl|jTlBWgJ^Z)L0|xRfZZe|MFm<E
zV9{{d(tod}E=J+=-9#~7a5E&58+-{Y1LPp%jql#T9eXs4sc;3OdpN8Zk>ZCPJ2L%l
zl^xbskb%Kv7eJx&0nBRti#&M%mwx4L0iFQ`|51e+#9rXxCX012W$uoUoc=Z<fb<Mx
zb&ZXUGu6-J20iq-g2)y_q%0;X&f{es&~$W;;o=2=?!%*qMvk=OFb~+B^dxZi@e}d0
zm>WwfuUVYb`-@!AaRZ_wxU&)WI&diY?`6P;WLJGgw414<hl>|5h&gh#zrTcd8xrg;
zg&bAWf#*%Z^WP2Y{yTXB_WA}OppZr$OQ2^NOykWdYbFje4hKF>>dge*4ahx@cPlzz
zfIJ2CJwR!ppGMhQ;kq!e$vF~$b)D@_;{tU`t(8bfLW!2nyVvL!QR>8zEiDpoi3xBe
z-Q(kMnG)ROIyySITfpT*J^riXrGVFjffF#Dk`J2F*Gx?}#yUC%<S)Fp@j#|gG4njw
z?|LI`rp}%eB)p&2Xh1rm98Xif16Gw83eOg!Mu=2Ehj|Rly}O&4>XX!?r}Y2({Om^c
zTt8B|?Mwcltc1%=K}q+B$w|@Wh3P;HQ-;Sd?5gHUCa?ef5}U{cpB6i672VfQKLcIE
z^7?wRQ_ifzhc0snei!%vI5;?Bba`}^ahBlosg*w(9s<>dbL;Vw3=!uzAfoy<OA1n6
zfGp<%F$>vKOSCu|sSJge81nz%Q<Y-u7!0x$i@936tJN6Z7vG+f`#oH5!o@upq&!$b
ztTwHIkJ9ZoJDgyxP^^9=57lxj`k~3=(Al+yNF{N$PeH?gx&#>&weT7p4NVrP3l@Dg
zso{bh;Oe_T!}Zgsn~RGq$dIc%c6Dp*r*T?5_thp2zP~DjYm4A(^!{Qm*tBBw;29w@
z@TM)ydir!q`S}0Y<U(_b13MtDf#^ZDaM&0M_Fbt#%@fFfA``<}G@u>P$mS^k`x2<~
zWI$j8L_bE&tix>#ewZ>IJlHnL2gAAH?l5%V%k1hiN37v70i=;ipPyQ}0EirjkWd?(
z7D9lY1voR18^Ht2?sP@Z?5vpjMhnomxbo*$RPbu+j7;qkAn*GA7q^)7*zh1gVz*t2
z4eA9f@~6l^z!t8QF9*`P7mY5j;o>2XxN;lSLqU=UDz9MRIe%sdaZcz*u;J1dCJ35#
znGOkIFbTksZr~jXRM+4HH(bE?1gHms!3xL3#326&H%3n+BEYy%g#*~A!>^{jzIwhA
z6Bh@z%g@?N5LPG;vd{nJMDT#B*gh3vt^nGHGXf`d@D%*N6#KvA33(jlJxF{&b_L%G
z(f=h^|79ESWa$GQ0<x?RJpr)FSuk;E!cYa0MzZ{sch~wFF$`!1aqv=>9s|wr586Qb
zSQd#QUNsdw+gIR<#^Jwdjr>0Uv``U0j7#~y8!*VO(LKHe)xpwRP${^70?9u;xC=dH
zf;e6mO(HzS!~2Z+tkP!Po*PYA37&w!6TIqR?crIpkOi<8@Eox4m-n(JUIM(E5&T*m
z98toL8Df&SYqJHf=AckyV`F0=Z%cFPn04sipKn;%+KL2O)J9NP$dNaZBG3YWe3fJn
z1ck98Ek^g<DeeX7q@l22Bvcs4SiM2TS_R}Id!#S$XhMhn%W%NURX}`SIXsL9l|tb>
zIF53Jqw4?DcJjHds|eapVFC5fcHEyIesl6T3F(6vy?xAu%=lrYtiU7y+Yf>@9X~(+
z$OT9Pdqzibfnth0+w11c4z67RZj2U)DnU{Jw4n*5vheHxJOwIO5PwaQBNO(SSP+Xj
z{>!z6FxE$99(zGWlE;PtX#XR?`ok{>oV~MVEU?S!-&#Z{z+5u4(Jz4jP&D996zl*X
z?)kk(7`8{puDSyXLuN3lHq&@e+}kwra&Tb4HDaLF0s5slz}zpNYz(8Jqssx!6g(|)
zn6JkMMUw*1JS-m^WcxWaxo+^ion(W^f_VR&<yF0LJe__O2e1TX*ZW4>fjH`!8XMfd
zfB*9NoLB-Mum;Y!;Q454TN}UiPcnEJ0AADMwd9Wqv?;G8KoOJ4Od19nkHHAsXuOh5
z-H1L^w0=hj(pSr&g7ZLw8V;%&t7bDiS4>saJ0rO5uKQv_@k}kTo;+~>{~q$cA^hho
z0r7Q%hxz|pCqIQE@V+ts*{TvF1m%ULxK|erKHQ#}h9II^i0+q%oA4OF0h}K)B>^=q
zkzh{vz!|?7cQl=)*nb;=sUJa=C)|AdO6xzv*C^*@A_^n@{1v%#-309|p+SjKr3~o%
zJV>mp$hLTPj>>G-GBx3ZBDlCAJk2&&#xr$*2CuW|mLs>{#_7@fCi0O5y%`9i6md2D
zWE?S$*4Ts)7x!PWEw$SHBQjGYIPd|%u;EE-TTKN3FM<^!f)J1(5e|d5cel=T42Zx`
zABC41J7iq8KeaLofM%1=$zU1&9$}U2Q;S{Q<s{9Z)6JTOCB+zTrkt+mXyKJiXVA8L
zy!E4u?(W&!d*K^TfCrf@!z?vCKih;VA}GfJ{emzdrgA(Y_72@cMd+X&+1Stv^-2Y3
za1qDRG6EiHT6LKM>T<kH5Qk2+Uh3U7Ah4?|9DMq*%uoOQZ8J92C+j#8=y9;-+)4by
zMLV1mSpEC@_VAI*^jrEzz9$1Kaz!Mcxr*4q3P0s(4x}y8$G_SWSO$kpnH@5Zt!PC%
zYYUp=<DH+FW!rpZ%M9%<tr|l7bU%FxnyU-OAP(X-dMf?RSj;m=Dh9J$m)m?tJNIQl
zX`%q*j)?5~LrtTRQK(_{r)u-URzZ?Ta)_1SZ%;QQ={vsr;qyU!PX$TL;9$w-x&nJ9
zAs|b8(Jtw-BL8mys)QJdibN@F8UNfMN@HNwL_Jgbq0vT*rWoUFZ%Ef>rTbC6eNZJ}
zF)wfX*1H5{b@A{+5i;CAa`VO_`f#(Ox0|$7_a##B@|v&6FW+BII6ZDLE>CFYlqHoJ
z1ve}r{>t*HKYh4MLb^ae81>Aq5kS2baI4G_M>*R<0I+hf52R8*$bNc8=!`2Y%q2C&
z!+$CaIrkN-`JCXQ=RSpz1Q-{p-=owpAVK{lM}B-d-9!Qfve&`a1t;N}Y9R_*+KQ$?
znfoU4cSm$Ghtv|kou+Le&b&-Yl!<tSFz67g2s0Wl0~qa4MX`&x>-x4?R*m($kIQzd
z&)0vJc`d$9n`!r#JzUJnxMe~_67$X$$2k>jeUyevSn3`6Zy6bbYiwrKs+!knBq63g
zC}h%Ex6jlNS)MOrRSxib^Sx*j=OhR+>mP_in65aLDl`6E7Ot$kX3)1a?q?Pna&`J}
z?-!_7suH*dsIMr(&W+*DBCV|1Cy)jw1f7y<S8|C|?(mP^hf=vdr)Q%*06+chYg%UL
zfC9jKPHp?A@_v$)enP9m+M$aM^05?;$8#w3X(zwg5@K<1&^+CdSv1zMMVt|bQ{Ukm
zE7dv-@g^2BOViBMq92{UDX|`<p+T2X_k1y3?%<!y(TA~lvQc<=`A*R3r>??V(u4?9
zJ_}?U-xO}lQZwA2+1RB9r&skE!W-uGI^X{d^`uVy{JfWMw~!I~dy3RgccNM7=#L(k
z41`Lw^HPMdPsEdJnBSg6#<>LX_;|%WK6b-09Pq)vqT)B-2Ocv3g>+}z`%=1>Mmm|o
z$3Ad9iHywhTD*anUIotC{&4hHLm~5S+dY>+N*)?tBKFrYlniK1kpEMJd`3e3z0aW&
z*&n-xU1LLt0DXUXvMFE_iHP`8<Lc@SOjE}H28WA8T1GToMp=pAi_|kBBIw!uC7hB7
zkC17P<<!&vhAT}sR})d>=?Gg2U{q6~6ZcD>{~4L55M|iFqNb)cOF|&;zK)jIm2fP!
zIZD`e%`)B<3KelCkn%qAp0#)rCGNpsSjDh^5r%xQ`HLDhoEG)5|KljYvbW}h7<8D$
z--X=znf}UQEq)1v2jN>=<H`G9BnZ#95>KvoE24bQ8KUDf-am9a613e5YYoIf)iVkD
zdhtv;G`>#Y$I@yNkqtUZh!f~k{2C39+&b*I&NgXPsdb{(3Vi}~oF}Mz+vhm)xo0|E
zgg3E-QRq@a$yt1#-Yrxl67f*x@f@Su4P@izd$UQP(~;x8<+dGS>>ONb(n12_{=n7o
z+QfcLeEh&>PGB7TdmEgW+JPu8@PlI!<feBZ|HT(^<6B5&%SOD6cde};;z$O9NwbR@
zTW7xG?$)X5_pgxKwr8p9TI`+qCwgWZlYhgIY0kwZz{D~rg3cJKu+w^?qcK&>vpAZK
z+KG`&0cl>A4;%IUtdL)=#jhgP=x}L{gaRI=_?)N?EA$iJ@K&@vA>w=jy4>|6TU)gU
zY(Vp+$4ld{tn|%6#`ELt^%`!y?bB%P^ydy;02{xAX;7PQjhzkj^&xb1eQrsGcz(gA
ze3B(Saw*|aZ*0M^gc+1G8;S2w0EB||u^B?w(rMhoJYqT<Hm@q_T+TU$g<YBWtg(hI
zzmVt3A+_6V4A<=PGK6sJC!v!GM%HwRdp(g?z~3=OBvp_cFTY~9eG}RQdx5tX3nVVH
z{h;;+;%ZZ%nyYcY1=4YLpjxg4JP*)IQ!q0zS<d~MqE}#Z`NKhjAQRmue>Thu)FjY~
z_6*O->}04m3_1R&tkhVw_N`7ob%B!%U6AdLcD;NY4KsyAs`Ad1zsy}{$L0v*T${v3
zt62d3Ts8B?Y1{k1aURHzUjw2dHF8+s)Hz>kYh<%0GsnxYBA1n)^ZE^OTP=rIH}egw
z9A??`*DI*?w%;^uFt=lPBb^pj-GFlAF&y)AgMAeqx9Rg*JHo`-pN!|gBhrev&}n5$
z`n5r!EQC4s_nDDpkf0)?hUCrKK$)faj)&DXLW0O>V#b}Z;EKRKeQDmBTkEPyl+{B`
z?IOH}iV1vf{e<5gDG7M(i#0YA2e;>X45+BEamFZJE?6Q!+~|0;#%_?HJB*HK^1`p}
zF`2-r1_KO~nJ>V%bo_RVkB)|c?>Kk`w6<HZB8$1Fo1=xZf%i8a8Q}XEMlxk`G6Wsf
zriW7)cjnU;SS7r^1+D;QNxPB`AWrP%Yz&_GBk5gmBB!BDDfVNy<5IQ>`}g>TmNa5W
z0*q~{Vso^jRsQSv*GAKNXB$!s{FX4!{nfPclxB~pn=_wPsb?%KABx_+3844&tq%FQ
zrwGJU!)LdLd)?cAVr;ixE?yjVfJ5=)CCK<(9aKw;t3sz;w`^tvz#Y*c<dW$NvhmIJ
zi|^x2JiZ&$MQ_!N0$I{k_U7=wWuX@1!)@RrWAnSvl$9no_RaIHuBRzH>e^)#oJ;tO
zkt94!I}4eYZO2c>^A!9XB|N_l)>va}^+oS}i;lA{$eX|yvQJ%Id_Ge3=I>&yon1r4
zW9;BW%GREiVcQop3fM|0HuOVpp|?tiIi*9Htg9k@UYB_%kVV6VzHGQ9l~HJ*u>b}A
zGxHyou5zH4Qfk%#KN|ou-3`7D1TK~pm2}SsUy0)F<0Dt{r+Z;2YJpExbuU}L4&!Q<
zm#4BuLwmA;w*{tK@#M@`Lrcn^Lcd+I;1w&Yr`6fvD8kNa-z$!R$Lok)Znc!v<cVgF
zrtI}Udb1`kOGy5|y3RWq>;M1%my65H%FNCts}Qn9B(k!FC@a}S=4E9hi88WPGP23u
znMEa0)@3Uzd&c+idY{iZzrTLxbm}-Km&@z*d_AAf>-o6dZx4GsQz4crpNES!H9R*$
zdK0k#z8xoU`RRXjZJBR%@s%F*@;{cw&7kK#lO1o8H5de)q~gy=xs);UUQ8HU9ZNRQ
z;^I0u++AN>y>k1P=AKoswqu@^B88GpdQZvQ+3uec5J+mM^;tzbeaF#`I1Yu>dCH7A
z@41NVA1$)4osL*xOIrxL;_demK1kW~zwvRcYw&cp?tdw?S8Qq#4_VH}sn2nPTbnae
z3JNRqLY6Eh^+}~toS}Ph=Q`H9w-&LY%{bhC%EjYim8%DPpHk&IAlvz&#b2s{0jkt{
zGb2`>Awe^$Yei0m6e)aHTR$_0luEg6`qqDvihadbQb1R}8^)YMWkI&8NYJJAtzQBT
z-?!4!_-^PKzJSvlosp8;c_ASvQext4$S3Q;#|3KY2T((d!`O&1@?X4|AVg1AK&d_i
zpS<3{iOsz~T}&4}xNkT5KYq7kuIl2V3Ov&5hZ-d9yxgzZd4e}E36<hsvz1v|gZL>S
zz%=~6<A<gyf$LOb>ie^Ck?L&&H|017HMSl{o~09hZc{+DL0qTD<r5#cfBx$qL)FEB
zvp|fMJdao8E!4$MoS&Xnz1K%IKR9Tlq=ZVagtI$ZtFgnKMyPiFoGH}jX&QE4rvKVQ
zt(p~}aw{7ZU#R{R7f8-rF^pRuRKCZVJCG4IJ`weVaFUX0*gx)_uY2xncNDMA%mYPH
z&R<mtOMUlpQ`AF8a@wF0c$QVBGfQ!`Z?U$43S)6yMnoX9XVXD!QdQ!P(ARoN)e#XI
znfuYrOi8=XI{9;d8${7k1<EJ&(CSqAvFeT7RQ0r{@?KNARYCQ&%PN}bJFa=Fo`!CR
z>l^l6kRfLURke%OtvXsgEipZPmIBqgF;93BgYRfMkEG5#Jl6h76O=n-zW%K~=*Yo0
z%faben#MW|dah7j*|?m}sZ;KXl>LLdb{iz2aee|qNHrEt>dx#vfD>@Vf7>*OKc_8>
z$QHaX@Zb?aktq^NHHel6Q77!KPsJm$gn?9oLSZ|6ueYk%v;Im&3+WBPv!reZEV$*i
zyrJWRpTGY04)O(#vemk!k!_5#V6BYNQ%|O^#N?@mJn|0t*MQBjLO)W+%}8b+b+<nG
z-O6_xyE=w#9aAdU6bL1lv?JqP62ZO33}npVmS2*~ogG=i>RI7+Q<UF>T~@&4w+QDt
zekR;EQ;OZEtRM62;xLStQ}D+{C<3&ZM?4BEN=U^5oemGGjf60~H_-}f!~sX-Vq1LH
z-C52DE58OvCiA*cii7w}lBh{nN&uz5IfX0;XIr#Tcpqx%zVY}HAV~`8II$ge^gdnq
zSsHvH3v}^qvK#T1Aag)_POD_c=D4LpP4rcQnD@i*p_eVz%50q<PSMu_&wXK4qS;23
zTvfoQ#as_;Rt=bcq$|m!YjVbduO!k|pZke7Ggodeu}LFS=uNjX<2HC&g+$*;@$VF{
zlJnHl%T1*c+&jvO8unH4pXQaYze+u8L7DLOX_+*$vftBo@onB2S{+rR`{+mcG*w%)
zDQn*00%EiqbW+pG*g|4KW157$@$A4d+MHKgTtTrHa<$c{@!99Fc$2kZX@^@W-#@Tj
z`8~pQn&jT96L-LNdcbGg9K6SB9v^D0&YyI}bMd!dNn++>sNZo&NYMUQal}B~RY_m}
zESxm!fr0}m#uA3%fjNf%cD>iz844E05bYL*P)`N>TIy$a@zPx_iFkP0<`Ni0loyr0
zaF+OLGw#SSmyBiH_`-V)FNWfaLyp<=XG^AMcwH51C#6Z=hjGmW#<t5W3HAt33SB1=
zd&CeqIYrjhL+}o(tn{;jgGlKjDn{iC^KABb{TU2}m`ttmt8O~YeR)RBTVaJmDtUNb
z*uCt|@DLoT`nX7!4kef^jj}^0Nt0E5C{g-6i$5&NjyuCY5VG4Y-#orA_AcmSPB=km
zc9>bcL^d9+ypkP?fIqnuYmHJKjFa^*E4q*+)l+!CWGc)i235B}^kNHN3-uALi<<8;
zeD;d+T`gtO{qwrd+wTY%v(++_bWY)AV{oLQ=j^6tI4D`4p&Y_oP+wY?^iYRO91c0H
zbEypUQub7Mnp&Lcw(D217{XePfl@IIJbpa4r-3Mja4tMHjlaSK43(s6k{#Jg%64=&
zlcJ<6#kEA3q&pdLMV64OP$?P?6%y1k<4f5t(comImCyc)Ub~Byk!~%<-?rn>SrTwa
z55UGmOhcB0h_FK(hx(-OG5diLt0Cok)pFS*+_IzcSLzJh&w2$piSoa_G(_PMD8oM}
zKe<uiA0@1R*IQOL8+_t!zY2X8M@0>DbHq7uyVm&){FKGCHc2>(jn6|$?fS1Z(jGuf
z7sv)Q>Xu(037%vc>U;4^qWOoSp$ZEkPu#F<8ywOqiBymGH9zN&k%e}=mnU8pCwx89
ze!h>r`9^Y>2LAhxA^T@vP#d?fB(+~@t)ov8qjR~i2*IEb?$%p%^k)khLXW;qQB7@n
zr^LR9Sbom)CHx~t^9ah}>ecC*Q_5^>mhHV#&XSMaZWD(zXU)9B%ggCC2-1V6h?7$?
z%4kcY!XGxY{*G4@^Ph{DnZ<Mm%4R#UDBZlNtLe|>s3gjP=XP}GEQ?BsN(5o#h*{gV
zk2(LH1f`QrXJ7u1pmjEB*Hm(Yg2<3pvQHF!9`g#(iqIUjjqV37mE4ZpU6bUl{)3rV
zUFI-0HtDK~SV*UTN){CE!Aaaz5~%EbU%4FhB^j#{;_^#k={ZHm@dm2(pTxE&Z`ffl
zW;L4Y3(GG`@&es<o9u8r&9;i{b5_cA!IUpCiP=e8k2~f)zbrN8jFX|Q@sxCF)g2^A
zg|4VGa#iU@g_NpaH7MX@F%;!?WX(x2tR2iie{Pl+do&mEZTdm&1Iy@9cDpwHDn^!D
z<l|aF8XDhQn>_EQSh-Ske0R->y{t@gfHDhKbl729+NN;xvYz<8r1ZDeCOpjeOw}8k
z>328oF8__&L+J$LD%Dy)uVY7x0u06|F{Ejz{KnQOb{UtgWx=Nzs%q|kHvb)2q?>5G
ztfE_qw<uMrAjD9t5pCRV^5n0)!}!;c50{0ngcqFc|B!>1>D??QJS~LC4rj2uUEmk;
z%(j)ifjvlsV1>1B(bpGWY7mvvk5WgyxPV90Je|Gs?Y`1uL8a@#xFx}oj{Oovlp-n%
zrA~?JKBH7Ejl<crdeMKWMn?t^N~hzm9g`N15~u%T*FBXUi4c+{_(XzlCyYKO!@DN_
zjH<8g_cM}Kb=F$mjy(l8A39^JEE)W{-u~PcbCiP#-O~2uk(>Oe=PV(OFG9K^LK53r
zvkjH{>me}^fG!Il{Cg)b+t47}Qarn>sMS7R>q^}t{A?0}=KjH<v`^;vz6|&ZqIfJ8
z7++~OOkE<4@wopHe$fd*dJx7dNJ)l_=uhwgKEKtIu<fxATk<D6#uT9!P?o0z4!5WS
zDi2a~J2<TU{j66Qt%nGecyQH3O7kix7StTRH7ZwuKu$g+Q5>6h>LLHRAW>=hxrXey
zFf{G^&%wJVETgs26Uih57L){LRr7&)*UB3z4b6Sd2koC{w-@`nf+<++613QF(fP$s
zT=!z}OlG57fTR=cZIDpB8?jfteT9ZjP{Zp~fhd|;Y9Xv$MFyo1#PT&O*zL+v44o>g
z;#{lG#1)p>nzt3ey?hP9Q%x3ulLdF?2A_@QkFf`ycU3icwp&g;gjGK?sctQ9)p#yS
zr%<|8`>3FeBiI!_!O1PB$HT=xb`WYdt2Qb5Gwc_f@hkoC(XJ5D$le;yH>U$AQQJ3M
z$6{Hy`DVO~@7MpS_decBm-#(NLb<4l=Dex$&OG_P*zVeV(gMgf*n+3gdc%dP6Ahj=
z?Gp_wQAAOHhG%cxY04}bgZ#od3{k%Jy|t;V^{dD`2tJX?vZ@g>4rdVT9Gw4@n&i2=
zGHv^-W_~WJ$-iy@h#>u^GLUGN<c&0lY}pST@=-jDTKcya-Pj~E{1cQ=>H6<SJjweX
zvwPfY;Fvr6nu0r)@o?DKYvYgMN!eWzy{(1x^E)8Zh*7D6^!5ExcVXqGM*^BQKQAdP
zZr%&JNXb6nO_UYTt`>Rze7fO19+9V3L3(-uV=skg>xtOe2cGw3WmzdCi_-A$ZhmJo
zETr05PWHG77<Iy^$pHF-Ug-Qesi*gLcjl9Ec?QqUuxQ*WIBV~UA=)}&mijjJZ0v&p
z>8?Hv^9`>ZC(XBpvt7kcNa<|UV9(m}U7U-9V>R|juUPb`J;ESH5aQj=0H)VYDV}J&
zYNDrV-2<wn`K?~wzM9LW^7hTYIEKBIpQ^4+FE&^78M3;%JXkd>Sc02<;@;h4%@pkF
zv(MV_%h$<I_Mf<7^hEvX-$jTaM84HN2vYQIoyr37%(7;WWFxJq$xkd7wZxC%Wi;AX
zlahfU^Ina;PUasjju1YE;#<*tjOmw!?=hW$bc5nMb15E1up(GA0H##-fZ5g4dp<4d
zHTOxQm%yNp|16=s3blJnW@aPfx0(kQWYepkY4%OsJ#0n>HfF~c{tR0zm$`F&m?~wr
zf6l|}@#=?A5wnzUJ@~akTqbJQ?(Df_*42Qi;xe<;(`6A$zlddN{jDLL^otVrNcS$<
zozZPk_&c90<oVuAZl|~8cEEAEOgiCkDSNQULC^TSs+=BB{Ug|b6PZ(aPhK%sw!NLB
z^>I5adc_h>ch<j71#fL%F#oVw4!n4hc)_wq&~d^<B)AH)iVSBR_vs>*?-ke9ZB$n3
z7t)S=U_28bDsp?~2&&is#q_xk<!^bL+n?XvnD%F5?Aer&cFTw_6`eB9yLe=jL>r#I
zAR{?Q77-EE4o7GmQPgsOh8=1z9e+AkGH=q7d0*JZ*6-1i`F=l5N-3$5&VeWJaq~)o
z-_|#m^&fHSZ&X#a)7&yXj#yP5IZevd*gR#Ob-KSy@Dy<M6SEeD_YHPGgxKiVWxI^D
zPmWhE$poZKxME0OvtH!mDOZztB=O;cJ6HUuyxeG-Nm<BPk$LijLw|Cmd34lm&4bO2
zlSDp0^MHUDIYNA$Sp8}z&EVl8&uU-0@rLd_-|z3L#x58ycxv<3xHt{leE7OCE6^RV
zMQ$Dlx&(>yDE7qqRl}lhX8t<;neuWCN(K4?^f#Oy(o+ZX!Kdr%G|~G<8w;<T9U0@s
zUA-g}WtDp(qR1|g=|(So!nM&3*9bQV(~B+yAKyrp?y}CXockdxLRfV;TWWD#fGr>?
zn<EpQ7ks*X#H+<2X!?BOZicMl<a}b<OJP6KgcQaTFnqR{#Isx%@EEU&vwsfSmY&{d
zD>&Mhd!XL*$T8pgVBc1Rn|o%J`SRat$Lf_!V|9s&@r-RTi-U^MphH;vS5cp=Z(CkQ
z=G0DLq%hy_Da4g$`yROe@#$nM6Zhs*g%6&4E`5F<T*_|{<NV$ht6r;+U7eH<y1Cwx
zb(TFQ#zu;@HRcl6SsDWyf!p;|J1eObr9P`kwY{?If2Yoo)4NP9*pJpr_RBkuR%-Kb
z5z7F^TY<u~in_QgeXZb;d#gj#mvm?3R;HX>Y%yIJc5Cl3`K($*U()rT40In$&RbcX
zIG6ve;=_<t$X+%4*)+ZKN&Ghu-(xVp<*U^_j2HJApAcv8>ZA23H;uopf!iWwxS2}$
z`reHbJwu;=LYALm1qDbOJm93i$}AH-Hz{wK%q^WVag|Gb^H0z#sjV{=3JR?Q837r5
zI_URi8-Je2``Za+UF#^}4jG}1kFu8fI$QB1An@lZVOi1oq4%1sx7q!#x#`1jsH^jJ
z=6A2DNoJ<Na+_J!kX5kzqm}18jlLtHn3YgYn>{0^fh_xnqpz>8=xfRIfOxgB_4{&Z
zr9a>t&!+oy)MEZhg5hK;zBh3QbUr?=^SxXVq3!+Mo=%zn&!6N&Xt->~nk@3h+23o|
z@WSU;TMm+v^kfZDRc35$U|VyIkDgAwZ~T6S8hE4i)0N8Y)wQ2jw}*7(%xXMVnc_Qj
z(yfyr*_LW$GF&J}9%GnENIok6x=_v|OC}M2-^E3Mh9&Lu@6xR{{APxDEsX<{V(~cz
zVaU(W8`#~C<mN6TTTRrt<T`s2_;PFW-buhb>6F!Sla96t<CJ<)tmu`rtp1#<I(+M?
z;sHSp4hz_gBICN#i?*31+R8oGI?=sO5(S$lqE-vl?BnCo+5eVKzDu|c<Q+{k$YfiV
zbF!N^N{`@~2(f5kMnf5;pW$yByhX(^LFU@BX?yi#lT2sDBpWrt0Pc;Koyk_4;jxgL
zz)pV}ZIZorNh2;YtT#H^Ie}KFCs842_nf&doKbr}VI}igNvX*QIH(=8KVMlrDsH=K
zR#SM%Jbt`4IvMBf(bpJ<#(e8Dt>8BHGZ%jGeSaTyHS%@9)3|wWSweD6X5GOjtg^L{
zZy@;8zojQ9?^mDNEzhM~X8fP$gxj2>AUf7I_%P9kR4cGC*DbJPh>Gsxs{Q2|UK{qK
z-o%xnQp4C;D2@kYO3rV)Gsel02Bq1GTHc*HjU;#c(A`x*_wpC%p=fwSxmH0U9vrtz
zhe}FkO{B~B3w!`Xb^Bt$GpZnpv)l}px|WA@BoAVWE*$kVHD#^&Hf0VuikoSRa>>cn
z{`+)o9Cb8WWHe9vEl(ZGt34W8VDNa}|7^oU&odoqMn}?p$&0_|rvjx`cc+481AkO^
zoL;c)M$-wt*1kbOx!4>QR{1vGp6Al@3tRm!?_F5XGb))&n)&YjywUGKM$VDvy0Y(e
zzXJ=CQw$Li6aqcXVycn^I;!cQqWb1W<^5ID0;9MI6~`Yf`;=8qAC>1HZ@s`nnN{JK
zUgYb=)MN(*QsC_Amn@so=$1n8;*Ix1Ik>q<=hX7=ULPod6Y$E;=F^j(WA7|dgNr-6
z&<rAFhBMO}E2~WhcA9sx=;9VO&N<X9T>mF(*13_YPB(tARjkWqs-#Ip&^RX|<lhDv
z)?fa618KXk3*y+?T{Rt=j0FjqGxkjhr?H{saJfN#dg2W#kBc@~xeEpP<h{buvYrn#
zjP$AnNBq7Qr+PnVj&hJ_EH3K=Vgri8a%51e1<%g;vF`;k!f~to`g6Z&Fe@4HiUWYj
zo*&^9DYjSEleWFU7kB_VzB-_IG9%>tq#qc81rTcU@VBpmM>YDorsjXdbIk+uD(9bP
z0o=S%X=P}r_3AP?!pXqbKuT7#Jii6n?|Cj`BrSl13AC~lSSRYeJD|*yQ|PpL0_Tf&
z0Q^h=FV>$Q?_)`5cw24C@BVrTTJUGyb1{s>)aL~R1mZkUC?InroW2vI+-5pSeEt3N
z^$6f7OYPs`j$XBsp|7uRHh{lTv9V#@9WzpZ+d)<WK#b0=t{7nGm3ve?BG4C^;t<B#
z4L~%Bv7_zZVIx+-tdA+#y8xaQ16{3zCSv5?bGv4urk7nPSo(bD8Jzgru8r4yajKSf
zpCO2RotbKg$PjhrNHH@&sJPE|wIw~`ltsC?xa>p0O3dL4N5JX7y>|xr6etd9X~vjb
zBo$y%?L-$E8VY`-;5?AGx@k+&sqOq3E(cN*)oN@Nhyi_PAOjC^sP!VeFd8LtPRoM<
zuv}`cYavl(cRC1HepQo!XSNe46aWelMF$|s_;7B6pqt=MBzdgG+ipOs2J{d|<E_!d
zjO6>Y8rJ~*gR=ig$WP~+vn5P&zG6|tF}b+>tRNL&Mu0QLour@@0iuBf1wiIr<u6y1
zKu2yk%<@|{A7GR#86p`G2bZRCxWC^lTa1b@AzCyRE381K{)f?~uLc$sIvEV!C^6zN
zdw*GmBa<or)`cGeF`*zfRVWt*{1-vX;grE~hWjTNhTDMe!mX~7Q&Pq|uPgGwPXP1>
z(K%}-i~Q5S-9QIuE}&ewz@~|2&=mtX$;e0yj@*EQ%_c8=exOpne9;9eI>&9gUB=@d
zxY13c?Irs>Pp-DOx#BI8n#mwP1iamU2V~cg%Pu;sn2^hlC}o?E)?|fDD+o}Qf;_qW
zq(JL_DYa5W_{~R6CvWP5;I&OF?b-lo275+eLGuyH>J$n;?vQ#p!+cptz2sD2VsB8g
zqIZ~H!|3_YMHtN4ezlYJyp`S~tF-TpUM-xoJjruY)B85@I2lt!)_u6wA1QBjdLvKC
z1A^OWIUw+r5x({mH$NY7`N6NbDn^;e%1ZG`Ky(}Y{p5rt@BawT%d@>1n_zqEoi5(V
z$%%|`q_(dkazBYx-pVDL9(zzkS0wE3`vTv`8~ijj_Ns$}1Cx~l=$KWmUR@Qu(d{6?
z2}gZ^`8w9{adUHkH2-roFAvXo35oA6%U;EUQhXI|6=a5nAVQDE;jH08zWK=plroGG
ziSEY{5$6R31z)|Xk}oXeymIBrfoXSF7rdZ^_IUrHqBZ3dk^7yW@Y%&R4>S^pI2(a}
zffAkt6#DV2SIlq^<KU<X2Q>21a1jHr<X{*_Ap7>upM~?)PIVwa@q|f|)P5ix3q<g6
zq2WdF<BvD_Gk{l~8iBu7SK}~b^gvrtBXMNls(?f)gC_){7IWJ?ch3P@tPcKP91a%(
zpuBBcD8}dafDG_S|5J=ZHXIF6B=zQigD;?FM>0X~?(Qjy!3u@93PM4xZVM7`;8+og
zb`mh(bb7`9l#8~6$k;#>=m4Dt9&Te}W6AoGMdJ~nKk(=KOL_6Qg#|)LfFROc$Tsyl
zmS-`SD>;XMb?Ah1^^HG8rM&SyT~E%10o-c~Q=YWf5)}eu!GOvE6wm}Z6Cg5W5Zy19
z&7HEsfQBNi&F3^p<gNWEwTe$kVML_!NNxd=Tkg=!fJHHg1w8T*fH3|jxlI;#Eit{|
zp6I6xSq2y=oyfohEYwR}bBqkwu6Ea!f02+lMtJ5?D4q^v%Ev;)zy>by{#>HY-`RM@
z8CY&VPB!_M2mO1ry*9xNOnGH&f;0-j;ZBdYD1q<-&^`(f;~W4Vk#~#~4<N7rW+z7^
zJO-lHFi=3l{};>uc%l=9KA@zcMt&=Rn%^FfkdbxhDE<ov{45W6;$BlJDVK32fWDD?
z3h4g~Oj}WLacbc6MsQ3-4h@9~nE=DVF7U=)YCHi~d|Q7%8FYJ428k?!d&7;K9X7T?
zuE3=4EV)I!7YUHoNH7N8D{{>_`T6<tMFsjfI3enVgWLBwKAtj$Rv;7-Tys?>m)pR`
z49u#siVAulL-sLbeLxu+_|B?DVRPYgEZi3)<burUa7V*nhM8XdFm=tsf&~~pPqX7w
zEy$Mz?N1XSHwHsWt90uYEg;oc!24T)rT-X1*8$`-%tIIixCST?F47KJsZwXe4m*&k
z2vLnFqF;mqLkcStVzc*J8KowoWK-49AVxw0K+px0e09(&At~#+3T-UNl4t7R?xe$K
z9a9(1cG>mDFrU?5({P~>gFUGEDf#&FCEVGUckngXu)l2IROIsaj@W0&w^>GmBN+)t
zA+sKQ4~#$EwEH7Y)xDM1QOB%hZ>3t65X=^U;g2wMsG)-f(AfA&9>wud*+aj--JLmi
zCQ@QOoPk=8;}j1h@=zAKa{G=6lnRhXxVBar76>q$XIr<0zJsF-_z?*F&H|!F=++Pp
z2`r@R1kz~%9!m$vAPrc2^1K9Ub%_xjM5T@xjS<;9NUmpJ7+d0@5Ro`g!pd+J%RLuw
z0!K>*g$S5h)S>9^w!NfR<vIoNDV}~<A>i7#0*0tp<7{dH{&aY}`W?%iRUmDH7~o^*
zF62U650JG(rwI~7OOI4FU?o?E)m5)0C{W0<kr5c)c90w(i4+J!q|=`&Zh^Er4}{{q
znj6R%gNYbveSoAql0|N}!zHI?V|xnEYaZO-QE*g4bTV@&_mq!2Zlue3yp|e9cPlJ2
zZUCWfuTQaqaU0rabbiUXN)6p2fJlY;lL?-_4wxRqGpIJzpic)vvDEr*aDvF1n6n+>
z@AJM!!4t_PB0^ExxJe3A4G}DV$Ty3LQ6ZXj*eg)l+b^a!hYQV~{5xWVM-Mtc=t3|E
zVv&;~%gT^+j79KQr{O|Kb+|U|&?CzU($9m4f(6X?AK|9!LPHCL+l1X%805Q<sSaRn
z;rx$-`oNHfgQ2<&yzDSS!(cW8&KwJ?CM+1Vh|U@AKfGIHi}NNmO@PQxWXJ>vPJ?2X
z3;qF)q`%8=p4+};G~R+k*h{2$ivTw*{98c@9P$5pxFB0a5#TyiF1zpiF@yl<Omz1I
z<kXPo9Q4sAVAXeirbU&Be9JR!hw5K^^q;Az;n|FU`3ou~HgNH4J?1qpU*{(tj0A4F
z-2jXoig_>)9ez~_Aij4>#bYYS4-vFR<RLvS?%w4_#w_%on1;cKnBS3C11m#l6mls5
zYDM;6DGGsC0IY>_DP90X3VW+X^L4VW!Gk&ZXjvGL17v_g<xCa!rJkFc7-ZK>+-`t?
z;7BqSnPZWN);rytxj@+8!FJ{E)>a2}e}SA}>71i8($=KoF{Lf!1CdYxOq1lC?J!iu
zTqosJ)z$M0=2~DRcwM=@Ny~r?9M~?wZluMz#ZKAxET}cY^Rpr5g3NVDj}1WU-=;p7
zhjD_;)GvihL!oQOcuO!lfXm2I2D`s#N`-wC(ENC<m>2MmGW_lrq2UOXUfRJkNGGQC
z-GxP`r>AG7K^Ica|NSzswTeO-#X!3hpa}ib0>J{V1m$#ORR_izS~$SQ)9y19aw%Yk
z90_e?0I3JXI3$<K!2<5JHh!+@(M~(eB#C1l4<G7O?(5&Zd$(c}jI@ye?E0eNk><Mg
zq}ANDDFPlPTZm^#LlAiL1l9xO`Iv&!C776rU?xH0KzujTTOoazJ+h3<mEg#4gANkN
zbO|Uz`Gc{`NIs{zxw-d2)9$bPFx;_NEGh&pUgP&==r_Zh+NVmD8B$p23&1PP??_+@
znY18K!N$hc+f9JMoQDgDB$Huz2Y3PgfV}(}ta$+P!)FKXhIg=f69Mpzh7&b&tOuli
z`So()eBJ?hB<>t;|8_h)OTf(Gd50ua-dc>2ij|cd`gB0ZZtSDiqDlz@$|H@8dhW&`
vJGNaU-TlAO4_^-=>TmcQ^#5yrbj+?~6m+MLec~;2X+m9ByQx~DVjcQ_Ndk#h

diff --git a/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt b/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt
index 997dafa9d..6646c360f 100644
--- a/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt
+++ b/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt
@@ -38,7 +38,7 @@ png file.
 
  .. code-block:: none
 
-
      0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
      0%|                                      | 14.3k/42.3M [00:00<05:58, 118kB/s]
      0%|                                       | 110k/42.3M [00:00<01:51, 380kB/s]
      1%|▎                                      | 290k/42.3M [00:00<01:03, 656kB/s]
      1%|▍                                      | 495k/42.3M [00:00<00:50, 824kB/s]
      2%|▌                                      | 675k/42.3M [00:00<00:48, 865kB/s]
      3%|▉                                    | 1.09M/42.3M [00:00<00:26, 1.57MB/s]
      4%|█▍                                   | 1.61M/42.3M [00:01<00:16, 2.43MB/s]
      5%|█▋                                   | 1.91M/42.3M [00:01<00:19, 2.11MB/s]
      5%|█▉                                   | 2.18M/42.3M [00:01<00:21, 1.85MB/s]
      6%|██▏                                  | 2.44M/42.3M [00:01<00:23, 1.68MB/s]
      7%|██▍                                  | 2.83M/42.3M [00:01<00:18, 2.13MB/s]
      7%|██▋                                  | 3.09M/42.3M [00:02<00:25, 1.56MB/s]
      8%|██▉                                  | 3.29M/42.3M [00:02<00:27, 1.41MB/s]
      8%|███                                  | 3.52M/42.3M [00:02<00:28, 1.34MB/s]
      9%|███▎                                 | 3.75M/42.3M [00:02<00:29, 1.29MB/s]
      9%|███▌                                 | 4.01M/42.3M [00:02<00:29, 1.31MB/s]
     10%|███▊                                 | 4.34M/42.3M [00:03<00:26, 1.42MB/s]
     11%|███▉                                 | 4.55M/42.3M [00:03<00:28, 1.33MB/s]
     12%|████▎                                | 4.94M/42.3M [00:03<00:24, 1.54MB/s]
     12%|████▌                                | 5.27M/42.3M [00:03<00:23, 1.58MB/s]
     13%|████▊                                | 5.53M/42.3M [00:03<00:24, 1.51MB/s]
     14%|█████▏                               | 5.99M/42.3M [00:03<00:20, 1.77MB/s]
     15%|█████▍                               | 6.25M/42.3M [00:04<00:21, 1.64MB/s]
     15%|█████▋                               | 6.48M/42.3M [00:04<00:23, 1.51MB/s]
     16%|█████▊                               | 6.71M/42.3M [00:04<00:25, 1.41MB/s]
     17%|██████                               | 6.99M/42.3M [00:04<00:24, 1.42MB/s]
     17%|██████▎                              | 7.25M/42.3M [00:04<00:25, 1.40MB/s]
     18%|██████▋                              | 7.59M/42.3M [00:05<00:22, 1.51MB/s]
     19%|███████                              | 8.06M/42.3M [00:05<00:16, 2.09MB/s]
     20%|███████▎                             | 8.31M/42.3M [00:05<00:18, 1.83MB/s]
     20%|███████▍                             | 8.52M/42.3M [00:05<00:21, 1.59MB/s]
     21%|███████▌                             | 8.71M/42.3M [00:05<00:27, 1.20MB/s]
     21%|███████▋                             | 8.85M/42.3M [00:06<00:31, 1.08MB/s]
     21%|████████                              | 8.98M/42.3M [00:06<00:34, 956kB/s]
     22%|████████▏                            | 9.32M/42.3M [00:06<00:27, 1.20MB/s]
     23%|████████▍                            | 9.65M/42.3M [00:06<00:24, 1.34MB/s]
     23%|████████▋                            | 9.88M/42.3M [00:06<00:25, 1.30MB/s]
     24%|████████▊                            | 10.1M/42.3M [00:07<00:25, 1.26MB/s]
     25%|█████████                            | 10.4M/42.3M [00:07<00:24, 1.29MB/s]
     25%|█████████▎                           | 10.6M/42.3M [00:07<00:24, 1.31MB/s]
     26%|█████████▋                           | 11.0M/42.3M [00:07<00:17, 1.74MB/s]
     27%|█████████▊                           | 11.3M/42.3M [00:07<00:19, 1.63MB/s]
     27%|██████████                           | 11.5M/42.3M [00:07<00:20, 1.49MB/s]
     28%|██████████▎                          | 11.8M/42.3M [00:08<00:19, 1.55MB/s]
     29%|██████████▌                          | 12.1M/42.3M [00:08<00:20, 1.48MB/s]
     29%|██████████▊                          | 12.3M/42.3M [00:08<00:22, 1.35MB/s]
     30%|███████████                          | 12.6M/42.3M [00:08<00:17, 1.73MB/s]
     31%|███████████▎                         | 13.0M/42.3M [00:08<00:16, 1.73MB/s]
     32%|███████████▊                         | 13.4M/42.3M [00:09<00:14, 1.99MB/s]
     32%|███████████▉                         | 13.7M/42.3M [00:09<00:15, 1.79MB/s]
     33%|████████████▏                        | 13.9M/42.3M [00:09<00:17, 1.60MB/s]
     34%|████████████▍                        | 14.3M/42.3M [00:09<00:17, 1.63MB/s]
     34%|████████████▋                        | 14.5M/42.3M [00:09<00:19, 1.44MB/s]
     35%|████████████▊                        | 14.7M/42.3M [00:09<00:20, 1.36MB/s]
     35%|█████████████                        | 14.9M/42.3M [00:10<00:17, 1.55MB/s]
     36%|█████████████▎                       | 15.2M/42.3M [00:10<00:17, 1.53MB/s]
     37%|█████████████▌                       | 15.5M/42.3M [00:10<00:18, 1.47MB/s]
     37%|█████████████▊                       | 15.7M/42.3M [00:10<00:18, 1.43MB/s]
     38%|██████████████                       | 16.1M/42.3M [00:10<00:16, 1.54MB/s]
     39%|██████████████▎                      | 16.3M/42.3M [00:11<00:18, 1.43MB/s]
     40%|██████████████▋                      | 16.7M/42.3M [00:11<00:15, 1.67MB/s]
     40%|██████████████▊                      | 17.0M/42.3M [00:11<00:16, 1.57MB/s]
     41%|███████████████                      | 17.2M/42.3M [00:11<00:17, 1.45MB/s]
     41%|███████████████▏                     | 17.4M/42.3M [00:11<00:18, 1.32MB/s]
     42%|███████████████▌                     | 17.8M/42.3M [00:12<00:15, 1.56MB/s]
     43%|███████████████▊                     | 18.1M/42.3M [00:12<00:16, 1.47MB/s]
     43%|███████████████▉                     | 18.2M/42.3M [00:12<00:18, 1.29MB/s]
     44%|████████████████                     | 18.4M/42.3M [00:12<00:20, 1.15MB/s]
     44%|████████████████▎                    | 18.6M/42.3M [00:12<00:20, 1.16MB/s]
     44%|████████████████▍                    | 18.8M/42.3M [00:12<00:23, 1.02MB/s]
     45%|█████████████████                     | 18.9M/42.3M [00:13<00:24, 967kB/s]
     45%|████████████████▊                    | 19.2M/42.3M [00:13<00:20, 1.11MB/s]
     46%|█████████████████                    | 19.4M/42.3M [00:13<00:17, 1.32MB/s]
     47%|█████████████████▏                   | 19.7M/42.3M [00:13<00:17, 1.31MB/s]
     47%|█████████████████▍                   | 20.0M/42.3M [00:13<00:16, 1.35MB/s]
     48%|█████████████████▋                   | 20.3M/42.3M [00:14<00:15, 1.46MB/s]
     49%|██████████████████                   | 20.6M/42.3M [00:14<00:14, 1.50MB/s]
     49%|██████████████████▎                  | 20.9M/42.3M [00:14<00:14, 1.50MB/s]
     50%|██████████████████▋                  | 21.3M/42.3M [00:14<00:12, 1.69MB/s]
     51%|██████████████████▉                  | 21.6M/42.3M [00:14<00:12, 1.66MB/s]
     52%|███████████████████▏                 | 21.9M/42.3M [00:15<00:13, 1.57MB/s]
     52%|███████████████████▎                 | 22.1M/42.3M [00:15<00:13, 1.45MB/s]
     53%|███████████████████▋                 | 22.5M/42.3M [00:15<00:12, 1.57MB/s]
     54%|███████████████████▉                 | 22.8M/42.3M [00:15<00:12, 1.56MB/s]
     54%|████████████████████                 | 23.0M/42.3M [00:15<00:13, 1.42MB/s]
     55%|████████████████████▎                | 23.2M/42.3M [00:15<00:14, 1.35MB/s]
     56%|████████████████████▌                | 23.5M/42.3M [00:16<00:13, 1.38MB/s]
     56%|████████████████████▋                | 23.7M/42.3M [00:16<00:14, 1.32MB/s]
     57%|████████████████████▉                | 24.0M/42.3M [00:16<00:13, 1.35MB/s]
     58%|█████████████████████▎               | 24.4M/42.3M [00:16<00:09, 1.85MB/s]
     58%|█████████████████████▌               | 24.6M/42.3M [00:16<00:10, 1.61MB/s]
     59%|█████████████████████▊               | 24.9M/42.3M [00:17<00:10, 1.63MB/s]
     59%|█████████████████████▉               | 25.1M/42.3M [00:17<00:10, 1.67MB/s]
     60%|██████████████████████▏              | 25.4M/42.3M [00:17<00:10, 1.62MB/s]
     61%|██████████████████████▍              | 25.6M/42.3M [00:17<00:11, 1.50MB/s]
     61%|██████████████████████▋              | 26.0M/42.3M [00:17<00:10, 1.56MB/s]
     62%|██████████████████████▉              | 26.2M/42.3M [00:17<00:10, 1.49MB/s]
     63%|███████████████████████▏             | 26.5M/42.3M [00:18<00:11, 1.42MB/s]
     63%|███████████████████████▎             | 26.7M/42.3M [00:18<00:11, 1.35MB/s]
     64%|███████████████████████▋             | 27.0M/42.3M [00:18<00:09, 1.67MB/s]
     64%|███████████████████████▊             | 27.2M/42.3M [00:18<00:09, 1.51MB/s]
     65%|████████████████████████             | 27.5M/42.3M [00:18<00:10, 1.46MB/s]
     66%|████████████████████████▌            | 28.0M/42.3M [00:18<00:06, 2.22MB/s]
     67%|████████████████████████▊            | 28.3M/42.3M [00:19<00:07, 1.95MB/s]
     68%|████████████████████████▉            | 28.6M/42.3M [00:19<00:08, 1.71MB/s]
     68%|█████████████████████████▏           | 28.8M/42.3M [00:19<00:08, 1.54MB/s]
     69%|█████████████████████████▍           | 29.1M/42.3M [00:19<00:08, 1.53MB/s]
     69%|█████████████████████████▋           | 29.4M/42.3M [00:19<00:08, 1.53MB/s]
     70%|█████████████████████████▊           | 29.5M/42.3M [00:20<00:09, 1.32MB/s]
     70%|██████████████████████████           | 29.8M/42.3M [00:20<00:09, 1.31MB/s]
     71%|██████████████████████████▏          | 30.0M/42.3M [00:20<00:10, 1.22MB/s]
     71%|██████████████████████████▍          | 30.2M/42.3M [00:20<00:10, 1.21MB/s]
     72%|██████████████████████████▋          | 30.5M/42.3M [00:20<00:09, 1.25MB/s]
     73%|███████████████████████████▏         | 31.0M/42.3M [00:20<00:05, 2.03MB/s]
     74%|███████████████████████████▎         | 31.3M/42.3M [00:21<00:07, 1.54MB/s]
     75%|███████████████████████████▌         | 31.5M/42.3M [00:21<00:07, 1.48MB/s]
     75%|███████████████████████████▉         | 31.9M/42.3M [00:21<00:06, 1.54MB/s]
     76%|████████████████████████████         | 32.0M/42.3M [00:21<00:08, 1.20MB/s]
     77%|████████████████████████████▎        | 32.4M/42.3M [00:22<00:07, 1.39MB/s]
     77%|████████████████████████████▌        | 32.7M/42.3M [00:22<00:06, 1.40MB/s]
     78%|████████████████████████████▊        | 32.9M/42.3M [00:22<00:06, 1.39MB/s]
     79%|█████████████████████████████▏       | 33.3M/42.3M [00:22<00:05, 1.52MB/s]
     80%|█████████████████████████████▍       | 33.7M/42.3M [00:22<00:05, 1.65MB/s]
     80%|█████████████████████████████▋       | 33.9M/42.3M [00:23<00:05, 1.51MB/s]
     81%|█████████████████████████████▉       | 34.2M/42.3M [00:23<00:05, 1.46MB/s]
     82%|██████████████████████████████▏      | 34.5M/42.3M [00:23<00:05, 1.48MB/s]
     83%|██████████████████████████████▋      | 35.1M/42.3M [00:23<00:03, 1.97MB/s]
     83%|██████████████████████████████▉      | 35.3M/42.3M [00:23<00:04, 1.73MB/s]
     84%|███████████████████████████████      | 35.5M/42.3M [00:24<00:04, 1.60MB/s]
     85%|███████████████████████████████▍     | 36.0M/42.3M [00:24<00:03, 1.80MB/s]
     86%|███████████████████████████████▊     | 36.4M/42.3M [00:24<00:03, 1.84MB/s]
     87%|████████████████████████████████     | 36.7M/42.3M [00:24<00:03, 1.80MB/s]
     88%|████████████████████████████████▌    | 37.2M/42.3M [00:24<00:02, 2.39MB/s]
     89%|████████████████████████████████▊    | 37.5M/42.3M [00:24<00:02, 2.08MB/s]
     89%|█████████████████████████████████    | 37.8M/42.3M [00:25<00:02, 1.98MB/s]
     90%|█████████████████████████████████▎   | 38.1M/42.3M [00:25<00:02, 1.78MB/s]
     91%|█████████████████████████████████▌   | 38.4M/42.3M [00:25<00:02, 1.78MB/s]
     91%|█████████████████████████████████▊   | 38.6M/42.3M [00:25<00:02, 1.79MB/s]
     92%|██████████████████████████████████   | 38.9M/42.3M [00:25<00:02, 1.69MB/s]
     93%|██████████████████████████████████▎  | 39.2M/42.3M [00:25<00:01, 1.58MB/s]
     93%|██████████████████████████████████▍  | 39.4M/42.3M [00:26<00:02, 1.40MB/s]
     94%|██████████████████████████████████▌  | 39.6M/42.3M [00:26<00:02, 1.31MB/s]
     95%|██████████████████████████████████▉  | 40.0M/42.3M [00:26<00:01, 1.56MB/s]
     96%|███████████████████████████████████▍ | 40.6M/42.3M [00:26<00:00, 2.36MB/s]
     97%|███████████████████████████████████▋ | 40.8M/42.3M [00:26<00:00, 2.07MB/s]
     97%|███████████████████████████████████▉ | 41.1M/42.3M [00:27<00:00, 1.81MB/s]
     98%|████████████████████████████████████▎| 41.5M/42.3M [00:27<00:00, 2.17MB/s]
     99%|████████████████████████████████████▌| 41.8M/42.3M [00:27<00:00, 2.10MB/s]
      0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
    100%|██████████████████████████████████████| 42.3M/42.3M [00:00<00:00, 193GB/s]
+
      0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
      0%|                                      | 18.4k/42.3M [00:00<04:23, 161kB/s]
      0%|                                      | 57.3k/42.3M [00:00<02:38, 267kB/s]
      0%|▏                                      | 137k/42.3M [00:00<01:30, 467kB/s]
      1%|▎                                      | 296k/42.3M [00:00<00:50, 836kB/s]
      1%|▌                                     | 614k/42.3M [00:00<00:26, 1.55MB/s]
      3%|█                                    | 1.25M/42.3M [00:00<00:13, 2.94MB/s]
      6%|██▏                                  | 2.53M/42.3M [00:00<00:07, 5.66MB/s]
     12%|████▍                                | 5.05M/42.3M [00:00<00:03, 10.9MB/s]
     19%|███████                              | 8.13M/42.3M [00:01<00:02, 16.0MB/s]
     26%|█████████▋                           | 11.1M/42.3M [00:01<00:01, 19.2MB/s]
     33%|████████████▏                        | 13.9M/42.3M [00:01<00:01, 20.9MB/s]
     39%|██████████████▌                      | 16.7M/42.3M [00:01<00:01, 22.0MB/s]
     46%|█████████████████                    | 19.6M/42.3M [00:01<00:00, 23.0MB/s]
     53%|███████████████████▋                 | 22.6M/42.3M [00:01<00:00, 24.1MB/s]
     60%|██████████████████████▎              | 25.5M/42.3M [00:01<00:00, 24.7MB/s]
     67%|████████████████████████▉            | 28.5M/42.3M [00:01<00:00, 25.0MB/s]
     74%|███████████████████████████▍         | 31.3M/42.3M [00:01<00:00, 25.0MB/s]
     81%|██████████████████████████████▏      | 34.4M/42.3M [00:02<00:00, 25.7MB/s]
     88%|████████████████████████████████▋    | 37.3M/42.3M [00:02<00:00, 25.7MB/s]
     95%|███████████████████████████████████  | 40.1M/42.3M [00:02<00:00, 25.4MB/s]
      0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
    100%|██████████████████████████████████████| 42.3M/42.3M [00:00<00:00, 195GB/s]
 
 
 
@@ -68,7 +68,7 @@ png file.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 33.528 seconds)
+   **Total running time of the script:** (0 minutes 8.262 seconds)
 
 
 .. _sphx_glr_download_auto_examples_model_fitting_EELS_curve_fitting.py:
diff --git a/_sources/auto_examples/model_fitting/plot_residual.rst.txt b/_sources/auto_examples/model_fitting/plot_residual.rst.txt
index 7f7247ae1..ccfbf0ff9 100644
--- a/_sources/auto_examples/model_fitting/plot_residual.rst.txt
+++ b/_sources/auto_examples/model_fitting/plot_residual.rst.txt
@@ -110,7 +110,7 @@ Fit for all navigation positions:
 
  .. code-block:: none
 
-    Exception ignored in: <function tqdm.__del__ at 0x7f5eca0059e0>
+    Exception ignored in: <function tqdm.__del__ at 0x7f338d3b99e0>
     Traceback (most recent call last):
       File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/tqdm/std.py", line 1148, in __del__
         self.close()
@@ -118,7 +118,7 @@ Fit for all navigation positions:
         self.disp(bar_style='danger', check_delay=False)
         ^^^^^^^^^
     AttributeError: 'tqdm_notebook' object has no attribute 'disp'
-
      0%|          | 0/10 [00:00<?, ?it/s]
    100%|██████████| 10/10 [00:00<00:00, 1478.59it/s]
+
      0%|          | 0/10 [00:00<?, ?it/s]
    100%|██████████| 10/10 [00:00<00:00, 1454.54it/s]
 
 
 
@@ -164,7 +164,7 @@ sphinx_gallery_thumbnail_number = 2
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.553 seconds)
+   **Total running time of the script:** (0 minutes 0.562 seconds)
 
 
 .. _sphx_glr_download_auto_examples_model_fitting_plot_residual.py:
diff --git a/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt b/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt
index 2a4567764..7027b9b9f 100644
--- a/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt
+++ b/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:34.450** total execution time for 3 files **from auto_examples/model_fitting**:
+**00:09.148** total execution time for 3 files **from auto_examples/model_fitting**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_model_fitting_EELS_curve_fitting.py` (``EELS_curve_fitting.py``)
-     - 00:33.528
+     - 00:08.262
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_plot_residual.py` (``plot_residual.py``)
-     - 00:00.553
+     - 00:00.562
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_simple_arctan_fit.py` (``simple_arctan_fit.py``)
-     - 00:00.369
+     - 00:00.323
      - 0.0
diff --git a/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt b/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt
index 6fe083218..d66bd9915 100644
--- a/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt
+++ b/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt
@@ -42,9 +42,9 @@ Fit an arctan function.
     Active: True
     Parameter Name |    Free |      Value |        Std |        Min |        Max | Linear
     ============== | ======= | ========== | ========== | ========== | ========== | ======
-                 A |    True | 1.00230153 | 0.00213288 |       None |       None |   True
-                 k |    True | 1.16860784 | 0.10809514 |       None |       None |  False
-                x0 |    True | 0.02252986 | 0.07242428 |       None |       None |  False
+                 A |    True | 1.00025977 | 0.00213855 |       None |       None |   True
+                 k |    True | 0.97361073 | 0.08147353 |       None |       None |  False
+                x0 |    True | 0.05768355 | 0.08070912 |       None |       None |  False
 
 
 
@@ -91,7 +91,7 @@ Fit an arctan function.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.369 seconds)
+   **Total running time of the script:** (0 minutes 0.323 seconds)
 
 
 .. _sphx_glr_download_auto_examples_model_fitting_simple_arctan_fit.py:
diff --git a/_sources/sg_execution_times.rst.txt b/_sources/sg_execution_times.rst.txt
index 789208c4d..ecd24cfc1 100644
--- a/_sources/sg_execution_times.rst.txt
+++ b/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:34.450** total execution time for 3 files **from all galleries**:
+**00:09.148** total execution time for 3 files **from all galleries**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_model_fitting_EELS_curve_fitting.py` (``../examples/model_fitting/EELS_curve_fitting.py``)
-     - 00:33.528
+     - 00:08.262
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_plot_residual.py` (``../examples/model_fitting/plot_residual.py``)
-     - 00:00.553
+     - 00:00.562
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_simple_arctan_fit.py` (``../examples/model_fitting/simple_arctan_fit.py``)
-     - 00:00.369
+     - 00:00.323
      - 0.0
diff --git a/auto_examples/model_fitting/EELS_curve_fitting.html b/auto_examples/model_fitting/EELS_curve_fitting.html
index cab25e954..bb89a9f2c 100644
--- a/auto_examples/model_fitting/EELS_curve_fitting.html
+++ b/auto_examples/model_fitting/EELS_curve_fitting.html
@@ -457,156 +457,28 @@
 <p>Performs curve fitting to an EELS spectrum, plots the result and saves it as
 png file.</p>
 <img src="../../_images/sphx_glr_EELS_curve_fitting_001.png" srcset="../../_images/sphx_glr_EELS_curve_fitting_001.png" alt="coreloss_spectrum Signal" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|                                              | 0.00/42.3M [00:00&lt;?, ?B/s]
-  0%|                                      | 14.3k/42.3M [00:00&lt;05:58, 118kB/s]
-  0%|                                       | 110k/42.3M [00:00&lt;01:51, 380kB/s]
-  1%|▎                                      | 290k/42.3M [00:00&lt;01:03, 656kB/s]
-  1%|▍                                      | 495k/42.3M [00:00&lt;00:50, 824kB/s]
-  2%|▌                                      | 675k/42.3M [00:00&lt;00:48, 865kB/s]
-  3%|▉                                    | 1.09M/42.3M [00:00&lt;00:26, 1.57MB/s]
-  4%|█▍                                   | 1.61M/42.3M [00:01&lt;00:16, 2.43MB/s]
-  5%|█▋                                   | 1.91M/42.3M [00:01&lt;00:19, 2.11MB/s]
-  5%|█▉                                   | 2.18M/42.3M [00:01&lt;00:21, 1.85MB/s]
-  6%|██▏                                  | 2.44M/42.3M [00:01&lt;00:23, 1.68MB/s]
-  7%|██▍                                  | 2.83M/42.3M [00:01&lt;00:18, 2.13MB/s]
-  7%|██▋                                  | 3.09M/42.3M [00:02&lt;00:25, 1.56MB/s]
-  8%|██▉                                  | 3.29M/42.3M [00:02&lt;00:27, 1.41MB/s]
-  8%|███                                  | 3.52M/42.3M [00:02&lt;00:28, 1.34MB/s]
-  9%|███▎                                 | 3.75M/42.3M [00:02&lt;00:29, 1.29MB/s]
-  9%|███▌                                 | 4.01M/42.3M [00:02&lt;00:29, 1.31MB/s]
- 10%|███▊                                 | 4.34M/42.3M [00:03&lt;00:26, 1.42MB/s]
- 11%|███▉                                 | 4.55M/42.3M [00:03&lt;00:28, 1.33MB/s]
- 12%|████▎                                | 4.94M/42.3M [00:03&lt;00:24, 1.54MB/s]
- 12%|████▌                                | 5.27M/42.3M [00:03&lt;00:23, 1.58MB/s]
- 13%|████▊                                | 5.53M/42.3M [00:03&lt;00:24, 1.51MB/s]
- 14%|█████▏                               | 5.99M/42.3M [00:03&lt;00:20, 1.77MB/s]
- 15%|█████▍                               | 6.25M/42.3M [00:04&lt;00:21, 1.64MB/s]
- 15%|█████▋                               | 6.48M/42.3M [00:04&lt;00:23, 1.51MB/s]
- 16%|█████▊                               | 6.71M/42.3M [00:04&lt;00:25, 1.41MB/s]
- 17%|██████                               | 6.99M/42.3M [00:04&lt;00:24, 1.42MB/s]
- 17%|██████▎                              | 7.25M/42.3M [00:04&lt;00:25, 1.40MB/s]
- 18%|██████▋                              | 7.59M/42.3M [00:05&lt;00:22, 1.51MB/s]
- 19%|███████                              | 8.06M/42.3M [00:05&lt;00:16, 2.09MB/s]
- 20%|███████▎                             | 8.31M/42.3M [00:05&lt;00:18, 1.83MB/s]
- 20%|███████▍                             | 8.52M/42.3M [00:05&lt;00:21, 1.59MB/s]
- 21%|███████▌                             | 8.71M/42.3M [00:05&lt;00:27, 1.20MB/s]
- 21%|███████▋                             | 8.85M/42.3M [00:06&lt;00:31, 1.08MB/s]
- 21%|████████                              | 8.98M/42.3M [00:06&lt;00:34, 956kB/s]
- 22%|████████▏                            | 9.32M/42.3M [00:06&lt;00:27, 1.20MB/s]
- 23%|████████▍                            | 9.65M/42.3M [00:06&lt;00:24, 1.34MB/s]
- 23%|████████▋                            | 9.88M/42.3M [00:06&lt;00:25, 1.30MB/s]
- 24%|████████▊                            | 10.1M/42.3M [00:07&lt;00:25, 1.26MB/s]
- 25%|█████████                            | 10.4M/42.3M [00:07&lt;00:24, 1.29MB/s]
- 25%|█████████▎                           | 10.6M/42.3M [00:07&lt;00:24, 1.31MB/s]
- 26%|█████████▋                           | 11.0M/42.3M [00:07&lt;00:17, 1.74MB/s]
- 27%|█████████▊                           | 11.3M/42.3M [00:07&lt;00:19, 1.63MB/s]
- 27%|██████████                           | 11.5M/42.3M [00:07&lt;00:20, 1.49MB/s]
- 28%|██████████▎                          | 11.8M/42.3M [00:08&lt;00:19, 1.55MB/s]
- 29%|██████████▌                          | 12.1M/42.3M [00:08&lt;00:20, 1.48MB/s]
- 29%|██████████▊                          | 12.3M/42.3M [00:08&lt;00:22, 1.35MB/s]
- 30%|███████████                          | 12.6M/42.3M [00:08&lt;00:17, 1.73MB/s]
- 31%|███████████▎                         | 13.0M/42.3M [00:08&lt;00:16, 1.73MB/s]
- 32%|███████████▊                         | 13.4M/42.3M [00:09&lt;00:14, 1.99MB/s]
- 32%|███████████▉                         | 13.7M/42.3M [00:09&lt;00:15, 1.79MB/s]
- 33%|████████████▏                        | 13.9M/42.3M [00:09&lt;00:17, 1.60MB/s]
- 34%|████████████▍                        | 14.3M/42.3M [00:09&lt;00:17, 1.63MB/s]
- 34%|████████████▋                        | 14.5M/42.3M [00:09&lt;00:19, 1.44MB/s]
- 35%|████████████▊                        | 14.7M/42.3M [00:09&lt;00:20, 1.36MB/s]
- 35%|█████████████                        | 14.9M/42.3M [00:10&lt;00:17, 1.55MB/s]
- 36%|█████████████▎                       | 15.2M/42.3M [00:10&lt;00:17, 1.53MB/s]
- 37%|█████████████▌                       | 15.5M/42.3M [00:10&lt;00:18, 1.47MB/s]
- 37%|█████████████▊                       | 15.7M/42.3M [00:10&lt;00:18, 1.43MB/s]
- 38%|██████████████                       | 16.1M/42.3M [00:10&lt;00:16, 1.54MB/s]
- 39%|██████████████▎                      | 16.3M/42.3M [00:11&lt;00:18, 1.43MB/s]
- 40%|██████████████▋                      | 16.7M/42.3M [00:11&lt;00:15, 1.67MB/s]
- 40%|██████████████▊                      | 17.0M/42.3M [00:11&lt;00:16, 1.57MB/s]
- 41%|███████████████                      | 17.2M/42.3M [00:11&lt;00:17, 1.45MB/s]
- 41%|███████████████▏                     | 17.4M/42.3M [00:11&lt;00:18, 1.32MB/s]
- 42%|███████████████▌                     | 17.8M/42.3M [00:12&lt;00:15, 1.56MB/s]
- 43%|███████████████▊                     | 18.1M/42.3M [00:12&lt;00:16, 1.47MB/s]
- 43%|███████████████▉                     | 18.2M/42.3M [00:12&lt;00:18, 1.29MB/s]
- 44%|████████████████                     | 18.4M/42.3M [00:12&lt;00:20, 1.15MB/s]
- 44%|████████████████▎                    | 18.6M/42.3M [00:12&lt;00:20, 1.16MB/s]
- 44%|████████████████▍                    | 18.8M/42.3M [00:12&lt;00:23, 1.02MB/s]
- 45%|█████████████████                     | 18.9M/42.3M [00:13&lt;00:24, 967kB/s]
- 45%|████████████████▊                    | 19.2M/42.3M [00:13&lt;00:20, 1.11MB/s]
- 46%|█████████████████                    | 19.4M/42.3M [00:13&lt;00:17, 1.32MB/s]
- 47%|█████████████████▏                   | 19.7M/42.3M [00:13&lt;00:17, 1.31MB/s]
- 47%|█████████████████▍                   | 20.0M/42.3M [00:13&lt;00:16, 1.35MB/s]
- 48%|█████████████████▋                   | 20.3M/42.3M [00:14&lt;00:15, 1.46MB/s]
- 49%|██████████████████                   | 20.6M/42.3M [00:14&lt;00:14, 1.50MB/s]
- 49%|██████████████████▎                  | 20.9M/42.3M [00:14&lt;00:14, 1.50MB/s]
- 50%|██████████████████▋                  | 21.3M/42.3M [00:14&lt;00:12, 1.69MB/s]
- 51%|██████████████████▉                  | 21.6M/42.3M [00:14&lt;00:12, 1.66MB/s]
- 52%|███████████████████▏                 | 21.9M/42.3M [00:15&lt;00:13, 1.57MB/s]
- 52%|███████████████████▎                 | 22.1M/42.3M [00:15&lt;00:13, 1.45MB/s]
- 53%|███████████████████▋                 | 22.5M/42.3M [00:15&lt;00:12, 1.57MB/s]
- 54%|███████████████████▉                 | 22.8M/42.3M [00:15&lt;00:12, 1.56MB/s]
- 54%|████████████████████                 | 23.0M/42.3M [00:15&lt;00:13, 1.42MB/s]
- 55%|████████████████████▎                | 23.2M/42.3M [00:15&lt;00:14, 1.35MB/s]
- 56%|████████████████████▌                | 23.5M/42.3M [00:16&lt;00:13, 1.38MB/s]
- 56%|████████████████████▋                | 23.7M/42.3M [00:16&lt;00:14, 1.32MB/s]
- 57%|████████████████████▉                | 24.0M/42.3M [00:16&lt;00:13, 1.35MB/s]
- 58%|█████████████████████▎               | 24.4M/42.3M [00:16&lt;00:09, 1.85MB/s]
- 58%|█████████████████████▌               | 24.6M/42.3M [00:16&lt;00:10, 1.61MB/s]
- 59%|█████████████████████▊               | 24.9M/42.3M [00:17&lt;00:10, 1.63MB/s]
- 59%|█████████████████████▉               | 25.1M/42.3M [00:17&lt;00:10, 1.67MB/s]
- 60%|██████████████████████▏              | 25.4M/42.3M [00:17&lt;00:10, 1.62MB/s]
- 61%|██████████████████████▍              | 25.6M/42.3M [00:17&lt;00:11, 1.50MB/s]
- 61%|██████████████████████▋              | 26.0M/42.3M [00:17&lt;00:10, 1.56MB/s]
- 62%|██████████████████████▉              | 26.2M/42.3M [00:17&lt;00:10, 1.49MB/s]
- 63%|███████████████████████▏             | 26.5M/42.3M [00:18&lt;00:11, 1.42MB/s]
- 63%|███████████████████████▎             | 26.7M/42.3M [00:18&lt;00:11, 1.35MB/s]
- 64%|███████████████████████▋             | 27.0M/42.3M [00:18&lt;00:09, 1.67MB/s]
- 64%|███████████████████████▊             | 27.2M/42.3M [00:18&lt;00:09, 1.51MB/s]
- 65%|████████████████████████             | 27.5M/42.3M [00:18&lt;00:10, 1.46MB/s]
- 66%|████████████████████████▌            | 28.0M/42.3M [00:18&lt;00:06, 2.22MB/s]
- 67%|████████████████████████▊            | 28.3M/42.3M [00:19&lt;00:07, 1.95MB/s]
- 68%|████████████████████████▉            | 28.6M/42.3M [00:19&lt;00:08, 1.71MB/s]
- 68%|█████████████████████████▏           | 28.8M/42.3M [00:19&lt;00:08, 1.54MB/s]
- 69%|█████████████████████████▍           | 29.1M/42.3M [00:19&lt;00:08, 1.53MB/s]
- 69%|█████████████████████████▋           | 29.4M/42.3M [00:19&lt;00:08, 1.53MB/s]
- 70%|█████████████████████████▊           | 29.5M/42.3M [00:20&lt;00:09, 1.32MB/s]
- 70%|██████████████████████████           | 29.8M/42.3M [00:20&lt;00:09, 1.31MB/s]
- 71%|██████████████████████████▏          | 30.0M/42.3M [00:20&lt;00:10, 1.22MB/s]
- 71%|██████████████████████████▍          | 30.2M/42.3M [00:20&lt;00:10, 1.21MB/s]
- 72%|██████████████████████████▋          | 30.5M/42.3M [00:20&lt;00:09, 1.25MB/s]
- 73%|███████████████████████████▏         | 31.0M/42.3M [00:20&lt;00:05, 2.03MB/s]
- 74%|███████████████████████████▎         | 31.3M/42.3M [00:21&lt;00:07, 1.54MB/s]
- 75%|███████████████████████████▌         | 31.5M/42.3M [00:21&lt;00:07, 1.48MB/s]
- 75%|███████████████████████████▉         | 31.9M/42.3M [00:21&lt;00:06, 1.54MB/s]
- 76%|████████████████████████████         | 32.0M/42.3M [00:21&lt;00:08, 1.20MB/s]
- 77%|████████████████████████████▎        | 32.4M/42.3M [00:22&lt;00:07, 1.39MB/s]
- 77%|████████████████████████████▌        | 32.7M/42.3M [00:22&lt;00:06, 1.40MB/s]
- 78%|████████████████████████████▊        | 32.9M/42.3M [00:22&lt;00:06, 1.39MB/s]
- 79%|█████████████████████████████▏       | 33.3M/42.3M [00:22&lt;00:05, 1.52MB/s]
- 80%|█████████████████████████████▍       | 33.7M/42.3M [00:22&lt;00:05, 1.65MB/s]
- 80%|█████████████████████████████▋       | 33.9M/42.3M [00:23&lt;00:05, 1.51MB/s]
- 81%|█████████████████████████████▉       | 34.2M/42.3M [00:23&lt;00:05, 1.46MB/s]
- 82%|██████████████████████████████▏      | 34.5M/42.3M [00:23&lt;00:05, 1.48MB/s]
- 83%|██████████████████████████████▋      | 35.1M/42.3M [00:23&lt;00:03, 1.97MB/s]
- 83%|██████████████████████████████▉      | 35.3M/42.3M [00:23&lt;00:04, 1.73MB/s]
- 84%|███████████████████████████████      | 35.5M/42.3M [00:24&lt;00:04, 1.60MB/s]
- 85%|███████████████████████████████▍     | 36.0M/42.3M [00:24&lt;00:03, 1.80MB/s]
- 86%|███████████████████████████████▊     | 36.4M/42.3M [00:24&lt;00:03, 1.84MB/s]
- 87%|████████████████████████████████     | 36.7M/42.3M [00:24&lt;00:03, 1.80MB/s]
- 88%|████████████████████████████████▌    | 37.2M/42.3M [00:24&lt;00:02, 2.39MB/s]
- 89%|████████████████████████████████▊    | 37.5M/42.3M [00:24&lt;00:02, 2.08MB/s]
- 89%|█████████████████████████████████    | 37.8M/42.3M [00:25&lt;00:02, 1.98MB/s]
- 90%|█████████████████████████████████▎   | 38.1M/42.3M [00:25&lt;00:02, 1.78MB/s]
- 91%|█████████████████████████████████▌   | 38.4M/42.3M [00:25&lt;00:02, 1.78MB/s]
- 91%|█████████████████████████████████▊   | 38.6M/42.3M [00:25&lt;00:02, 1.79MB/s]
- 92%|██████████████████████████████████   | 38.9M/42.3M [00:25&lt;00:02, 1.69MB/s]
- 93%|██████████████████████████████████▎  | 39.2M/42.3M [00:25&lt;00:01, 1.58MB/s]
- 93%|██████████████████████████████████▍  | 39.4M/42.3M [00:26&lt;00:02, 1.40MB/s]
- 94%|██████████████████████████████████▌  | 39.6M/42.3M [00:26&lt;00:02, 1.31MB/s]
- 95%|██████████████████████████████████▉  | 40.0M/42.3M [00:26&lt;00:01, 1.56MB/s]
- 96%|███████████████████████████████████▍ | 40.6M/42.3M [00:26&lt;00:00, 2.36MB/s]
- 97%|███████████████████████████████████▋ | 40.8M/42.3M [00:26&lt;00:00, 2.07MB/s]
- 97%|███████████████████████████████████▉ | 41.1M/42.3M [00:27&lt;00:00, 1.81MB/s]
- 98%|████████████████████████████████████▎| 41.5M/42.3M [00:27&lt;00:00, 2.17MB/s]
- 99%|████████████████████████████████████▌| 41.8M/42.3M [00:27&lt;00:00, 2.10MB/s]
+  0%|                                      | 18.4k/42.3M [00:00&lt;04:23, 161kB/s]
+  0%|                                      | 57.3k/42.3M [00:00&lt;02:38, 267kB/s]
+  0%|▏                                      | 137k/42.3M [00:00&lt;01:30, 467kB/s]
+  1%|▎                                      | 296k/42.3M [00:00&lt;00:50, 836kB/s]
+  1%|▌                                     | 614k/42.3M [00:00&lt;00:26, 1.55MB/s]
+  3%|█                                    | 1.25M/42.3M [00:00&lt;00:13, 2.94MB/s]
+  6%|██▏                                  | 2.53M/42.3M [00:00&lt;00:07, 5.66MB/s]
+ 12%|████▍                                | 5.05M/42.3M [00:00&lt;00:03, 10.9MB/s]
+ 19%|███████                              | 8.13M/42.3M [00:01&lt;00:02, 16.0MB/s]
+ 26%|█████████▋                           | 11.1M/42.3M [00:01&lt;00:01, 19.2MB/s]
+ 33%|████████████▏                        | 13.9M/42.3M [00:01&lt;00:01, 20.9MB/s]
+ 39%|██████████████▌                      | 16.7M/42.3M [00:01&lt;00:01, 22.0MB/s]
+ 46%|█████████████████                    | 19.6M/42.3M [00:01&lt;00:00, 23.0MB/s]
+ 53%|███████████████████▋                 | 22.6M/42.3M [00:01&lt;00:00, 24.1MB/s]
+ 60%|██████████████████████▎              | 25.5M/42.3M [00:01&lt;00:00, 24.7MB/s]
+ 67%|████████████████████████▉            | 28.5M/42.3M [00:01&lt;00:00, 25.0MB/s]
+ 74%|███████████████████████████▍         | 31.3M/42.3M [00:01&lt;00:00, 25.0MB/s]
+ 81%|██████████████████████████████▏      | 34.4M/42.3M [00:02&lt;00:00, 25.7MB/s]
+ 88%|████████████████████████████████▋    | 37.3M/42.3M [00:02&lt;00:00, 25.7MB/s]
+ 95%|███████████████████████████████████  | 40.1M/42.3M [00:02&lt;00:00, 25.4MB/s]
   0%|                                              | 0.00/42.3M [00:00&lt;?, ?B/s]
-100%|██████████████████████████████████████| 42.3M/42.3M [00:00&lt;00:00, 193GB/s]
+100%|██████████████████████████████████████| 42.3M/42.3M [00:00&lt;00:00, 195GB/s]
 </pre></div>
 </div>
 <div class="line-block">
@@ -628,7 +500,7 @@
 <a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D.plot" title="hyperspy.models.model1d.Model1D.plot" class="sphx-glr-backref-module-hyperspy-models-model1d sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">plot</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 33.528 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.262 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-model-fitting-eels-curve-fitting-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/037b5aa4752b41748abf69bba9d1cbe4/EELS_curve_fitting.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">EELS_curve_fitting.ipynb</span></code></a></p>
diff --git a/auto_examples/model_fitting/plot_residual.html b/auto_examples/model_fitting/plot_residual.html
index ba48b12b2..1b9c1bcd3 100644
--- a/auto_examples/model_fitting/plot_residual.html
+++ b/auto_examples/model_fitting/plot_residual.html
@@ -478,7 +478,7 @@
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.multifit" title="hyperspy.model.BaseModel.multifit" class="sphx-glr-backref-module-hyperspy-model sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">multifit</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Exception ignored in: &lt;function tqdm.__del__ at 0x7f5eca0059e0&gt;
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Exception ignored in: &lt;function tqdm.__del__ at 0x7f338d3b99e0&gt;
 Traceback (most recent call last):
   File &quot;/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/tqdm/std.py&quot;, line 1148, in __del__
     self.close()
@@ -488,7 +488,7 @@
 AttributeError: &#39;tqdm_notebook&#39; object has no attribute &#39;disp&#39;
 
   0%|          | 0/10 [00:00&lt;?, ?it/s]
-100%|██████████| 10/10 [00:00&lt;00:00, 1478.59it/s]
+100%|██████████| 10/10 [00:00&lt;00:00, 1454.54it/s]
 </pre></div>
 </div>
 <p>Plot the fitted model with residual:</p>
@@ -500,7 +500,7 @@
 <li><img src="../../_images/sphx_glr_plot_residual_002.png" srcset="../../_images/sphx_glr_plot_residual_002.png" alt="Signal" class = "sphx-glr-multi-img"/></li>
 </ul>
 <p>sphinx_gallery_thumbnail_number = 2</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.553 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.562 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-model-fitting-plot-residual-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/971c2906ad663020c2e6701928a24c9a/plot_residual.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_residual.ipynb</span></code></a></p>
diff --git a/auto_examples/model_fitting/sg_execution_times.html b/auto_examples/model_fitting/sg_execution_times.html
index 1ea6b11d2..8600564f5 100644
--- a/auto_examples/model_fitting/sg_execution_times.html
+++ b/auto_examples/model_fitting/sg_execution_times.html
@@ -426,7 +426,7 @@
                   
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-model-fitting-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>00:34.450</strong> total execution time for 3 files <strong>from auto_examples/model_fitting</strong>:</p>
+<p><strong>00:09.148</strong> total execution time for 3 files <strong>from auto_examples/model_fitting</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -448,15 +448,15 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="EELS_curve_fitting.html#sphx-glr-auto-examples-model-fitting-eels-curve-fitting-py"><span class="std std-ref">EELS curve fitting</span></a> (<code class="docutils literal notranslate"><span class="pre">EELS_curve_fitting.py</span></code>)</p></td>
-<td><p>00:33.528</p></td>
+<td><p>00:08.262</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_residual.html#sphx-glr-auto-examples-model-fitting-plot-residual-py"><span class="std std-ref">Plot Residual</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_residual.py</span></code>)</p></td>
-<td><p>00:00.553</p></td>
+<td><p>00:00.562</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="simple_arctan_fit.html#sphx-glr-auto-examples-model-fitting-simple-arctan-fit-py"><span class="std std-ref">Simple arctan fit</span></a> (<code class="docutils literal notranslate"><span class="pre">simple_arctan_fit.py</span></code>)</p></td>
-<td><p>00:00.369</p></td>
+<td><p>00:00.323</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/auto_examples/model_fitting/simple_arctan_fit.html b/auto_examples/model_fitting/simple_arctan_fit.html
index 33ba4d4f4..ddaf1ad39 100644
--- a/auto_examples/model_fitting/simple_arctan_fit.html
+++ b/auto_examples/model_fitting/simple_arctan_fit.html
@@ -460,9 +460,9 @@
 Active: True
 Parameter Name |    Free |      Value |        Std |        Min |        Max | Linear
 ============== | ======= | ========== | ========== | ========== | ========== | ======
-             A |    True | 1.00230153 | 0.00213288 |       None |       None |   True
-             k |    True | 1.16860784 | 0.10809514 |       None |       None |  False
-            x0 |    True | 0.02252986 | 0.07242428 |       None |       None |  False
+             A |    True | 1.00025977 | 0.00213855 |       None |       None |   True
+             k |    True | 0.97361073 | 0.08147353 |       None |       None |  False
+            x0 |    True | 0.05768355 | 0.08070912 |       None |       None |  False
 </pre></div>
 </div>
 <div class="line-block">
@@ -499,7 +499,7 @@
 <a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D.plot" title="hyperspy.models.model1d.Model1D.plot" class="sphx-glr-backref-module-hyperspy-models-model1d sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">plot</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.369 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.323 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-model-fitting-simple-arctan-fit-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/9fccdf8a75923677d25708442159bb9b/simple_arctan_fit.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">simple_arctan_fit.ipynb</span></code></a></p>
diff --git a/changes.html b/changes.html
index 4be1a46a2..d45705aa5 100644
--- a/changes.html
+++ b/changes.html
@@ -449,6 +449,7 @@ <h3>Bug Fixes<a class="headerlink" href="#bug-fixes" title="Link to this heading
 <h3>Improved Documentation<a class="headerlink" href="#improved-documentation" title="Link to this heading">#</a></h3>
 <ul class="simple">
 <li><p>Add eXSpy logo and adapt spelling to capital X (<a class="reference external" href="https://github.com/hyperspy/exspy/issues/22">#22</a>)</p></li>
+<li><p>Fix DOI and add more badges to readme file. (<a class="reference external" href="https://github.com/hyperspy/exspy/issues/38">#38</a>)</p></li>
 </ul>
 </section>
 <section id="maintenance">
@@ -459,8 +460,8 @@ <h3>Maintenance<a class="headerlink" href="#maintenance" title="Link to this hea
 </ul>
 </section>
 </section>
-<section id="id5">
-<h2>0.1 (2023-12-03)<a class="headerlink" href="#id5" title="Link to this heading">#</a></h2>
+<section id="id6">
+<h2>0.1 (2023-12-03)<a class="headerlink" href="#id6" title="Link to this heading">#</a></h2>
 <section id="new-features">
 <h3>New features<a class="headerlink" href="#new-features" title="Link to this heading">#</a></h3>
 <ul class="simple">
@@ -477,8 +478,8 @@ <h3>Enhancements<a class="headerlink" href="#enhancements" title="Link to this h
 <li><p>Enable <code class="docutils literal notranslate"><span class="pre">signal_range</span></code> arguments when using <code class="docutils literal notranslate"><span class="pre">subpixel=True</span></code> in <a class="reference internal" href="reference/signals.html#exspy.signals.EELSSpectrum.align_zero_loss_peak" title="exspy.signals.EELSSpectrum.align_zero_loss_peak"><code class="xref py py-meth docutils literal notranslate"><span class="pre">align_zero_loss_peak()</span></code></a> (<a class="reference external" href="https://github.com/hyperspy/exspy/pull/7">#7</a>)</p></li>
 </ul>
 </section>
-<section id="id7">
-<h3>Maintenance<a class="headerlink" href="#id7" title="Link to this heading">#</a></h3>
+<section id="id8">
+<h3>Maintenance<a class="headerlink" href="#id8" title="Link to this heading">#</a></h3>
 <ul class="simple">
 <li><p>Use towncrier to manage release notes and improve setting dev version (<a class="reference external" href="https://github.com/hyperspy/exspy/issues/14">#14</a>)</p></li>
 <li><p>Use reusable workflow from the hyperspy organisation for the doc workflow (<a class="reference external" href="https://github.com/hyperspy/exspy/pull/13">#13</a>)</p></li>
@@ -553,10 +554,10 @@ <h2>Initiation (2023-10-28)<a class="headerlink" href="#initiation-2023-10-28" t
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#maintenance">Maintenance</a></li>
 </ul>
 </li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#id5">0.1 (2023-12-03)</a><ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#id6">0.1 (2023-12-03)</a><ul class="visible nav section-nav flex-column">
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#new-features">New features</a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#enhancements">Enhancements</a></li>
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id7">Maintenance</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#id8">Maintenance</a></li>
 </ul>
 </li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#initiation-2023-10-28">Initiation (2023-10-28)</a></li>
diff --git a/searchindex.js b/searchindex.js
index 0ccc3108c..4dd788b4d 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["auto_examples/index", "auto_examples/model_fitting/EELS_curve_fitting", "auto_examples/model_fitting/index", "auto_examples/model_fitting/plot_residual", "auto_examples/model_fitting/sg_execution_times", "auto_examples/model_fitting/simple_arctan_fit", "auto_examples/sg_execution_times", "changes", "contributing", "index", "intro", "reference/components", "reference/data", "reference/index", "reference/material", "reference/models", "reference/signals", "sg_execution_times", "user_guide/bibliography", "user_guide/dielectric_function", "user_guide/eds", "user_guide/eels", "user_guide/index", "user_guide/install", "user_guide/metadata_structure"], "filenames": ["auto_examples/index.rst", "auto_examples/model_fitting/EELS_curve_fitting.rst", "auto_examples/model_fitting/index.rst", "auto_examples/model_fitting/plot_residual.rst", "auto_examples/model_fitting/sg_execution_times.rst", "auto_examples/model_fitting/simple_arctan_fit.rst", "auto_examples/sg_execution_times.rst", "changes.rst", "contributing.rst", "index.rst", "intro.rst", "reference/components.rst", "reference/data.rst", "reference/index.rst", "reference/material.rst", "reference/models.rst", "reference/signals.rst", "sg_execution_times.rst", "user_guide/bibliography.rst", "user_guide/dielectric_function.rst", "user_guide/eds.rst", "user_guide/eels.rst", "user_guide/index.rst", "user_guide/install.rst", "user_guide/metadata_structure.rst"], "titles": ["Gallery of Examples", "EELS curve fitting", "Model fitting", "Plot Residual", "Computation times", "Simple arctan fit", "Computation times", "Changelog", "Contributing", "Welcome to the documentation of eXSpy!", "Welcome to the documentation of eXSpy!", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.components</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.data</span></code>", "Reference", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.material</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.models</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.signals</span></code>", "Computation times", "Bibliography", "Dielectric function tools", "Energy-Dispersive X-ray Spectrometry (EDS)", "Electron Energy Loss Spectroscopy", "User Guide", "Installation", "eXSpy Metadata Structure"], "terms": {"below": [0, 2, 9, 10, 11, 16, 21, 23], "i": [0, 2, 7, 8, 9, 10, 11, 12, 14, 15, 16, 19, 20, 21, 23, 24], "plot": [0, 1, 2, 4, 5, 12, 15, 16, 17, 21, 22], "residu": [0, 2, 4, 17], "eel": [0, 2, 4, 7, 9, 10, 11, 12, 15, 16, 17, 22], "curv": [0, 2, 4, 17, 22], "simpl": [0, 2, 4, 9, 10, 17], "arctan": [0, 2, 4, 11, 17], "download": [0, 1, 3, 5, 7, 12, 20, 21], "all": [0, 3, 8, 11, 12, 15, 16, 17, 20, 21, 23, 24], "python": [0, 1, 3, 5, 7, 8, 9, 10, 23], "sourc": [0, 1, 3, 5, 8, 9, 10, 20], "code": [0, 1, 3, 5, 7, 16, 20], "auto_examples_python": 0, "zip": [0, 20], "jupyt": [0, 1, 3, 5, 8, 9, 10, 16, 23], "notebook": [0, 1, 3, 5, 8, 9, 10, 16, 23], "auto_examples_jupyt": 0, "gener": [0, 1, 3, 5, 8, 9, 10, 12, 15, 16, 21, 22], "sphinx": [0, 1, 3, 5, 8], "go": [1, 3, 5, 7, 11, 15, 16, 21], "end": [1, 3, 5, 11, 16], "full": [1, 3, 5, 11, 16, 24], "exampl": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15, 16, 17, 20, 21], "perform": [1, 9, 10, 15, 16, 21], "an": [1, 3, 5, 9, 10, 11, 12, 14, 15, 16, 21, 22, 23, 24], "spectrum": [1, 5, 11, 12, 15, 16, 19, 21, 22, 24], "result": [1, 5, 8, 12, 15, 16, 20, 21], "save": [1, 11, 15, 21], "png": 1, "file": [1, 3, 4, 6, 7, 15, 16, 17, 20, 21], "0": [1, 3, 4, 5, 6, 11, 15, 16, 17, 18, 19, 20, 21], "00": [1, 3, 4, 6, 16, 17], "42": [1, 20], "3m": 1, "b": [1, 3, 11, 16, 18, 20, 21, 24], "": [1, 3, 5, 11, 12, 14, 15, 16, 18, 19, 20, 21, 24], "14": [1, 7], "3k": 1, "05": [1, 11], "58": 1, "118kb": 1, "110k": 1, "01": [1, 11, 15, 16, 18, 20], "51": 1, "380kb": 1, "1": [1, 5, 11, 12, 14, 15, 16, 18, 19, 20, 21], "290k": 1, "03": 1, "656kb": 1, "495k": 1, "50": [1, 14, 20], "824kb": 1, "2": [1, 3, 11, 14, 15, 16, 19, 20, 21, 24], "675k": 1, "48": 1, "865kb": 1, "3": [1, 3, 4, 7, 9, 10, 11, 12, 15, 16, 17, 18, 20, 21], "09m": 1, "26": [1, 20], "57mb": 1, "4": [1, 7, 11, 12, 15, 16, 18, 20, 21], "61m": 1, "16": 1, "43mb": 1, "5": [1, 11, 12, 16, 20, 21], "91m": 1, "19": [1, 11], "11mb": 1, "18m": 1, "21": 1, "85mb": 1, "6": [1, 12, 14, 15, 16, 20, 21], "44m": 1, "23": 1, "68mb": 1, "7": [1, 7, 20, 21], "83m": 1, "18": 1, "13mb": 1, "02": 1, "25": 1, "56mb": 1, "8": [1, 14, 16, 18, 20], "29m": 1, "27": [1, 7], "41mb": 1, "52m": 1, "28": 1, "34mb": 1, "9": [1, 3, 16, 20, 21], "75m": 1, "29": 1, "29mb": 1, "01m": 1, "31mb": 1, "10": [1, 3, 11, 12, 14, 15, 16, 18, 20, 21], "34m": 1, "42mb": 1, "11": [1, 3, 14], "55m": 1, "33mb": 1, "12": [1, 14], "94m": 1, "24": 1, "54mb": 1, "27m": 1, "58mb": 1, "13": [1, 7, 20], "53m": 1, "51mb": 1, "99m": 1, "20": [1, 11, 16, 21], "77mb": 1, "15": [1, 11, 16, 18, 20], "25m": 1, "04": [1, 20], "64mb": 1, "48m": 1, "71m": 1, "17": 1, "40mb": 1, "59m": 1, "22": [1, 7, 18], "06m": 1, "09mb": 1, "31m": 1, "83mb": 1, "59mb": 1, "20mb": 1, "85m": 1, "06": 1, "31": 1, "08mb": 1, "98m": 1, "34": [1, 4, 17], "956kb": 1, "32m": 1, "65m": 1, "88m": 1, "30mb": 1, "1m": 1, "07": 1, "26mb": 1, "4m": 1, "6m": 1, "0m": 1, "74mb": 1, "63mb": 1, "5m": 1, "49mb": 1, "8m": 1, "08": 1, "55mb": 1, "48mb": 1, "35mb": 1, "30": [1, 16, 20, 21], "73mb": 1, "32": [1, 7, 11, 16], "09": 1, "99mb": 1, "7m": 1, "79mb": 1, "33": [1, 4, 7, 17], "9m": 1, "60mb": 1, "44mb": 1, "35": [1, 20], "36mb": 1, "36": [1, 16], "2m": 1, "53mb": 1, "37": [1, 16, 20], "47mb": 1, "38": [1, 20], "39": 1, "40": [1, 21], "67mb": 1, "41": [1, 16, 20], "45mb": 1, "32mb": 1, "43": 1, "44": 1, "15mb": 1, "16mb": 1, "02mb": 1, "45": [1, 21], "967kb": 1, "46": 1, "47": 1, "46mb": 1, "49": 1, "50mb": 1, "69mb": 1, "66mb": 1, "52": 1, "53": 1, "54": 1, "55": [1, 20, 21], "56": [1, 20], "38mb": 1, "57": [1, 16, 20], "61mb": 1, "59": [1, 16, 20], "60": [1, 16], "62mb": 1, "61": [1, 18], "62": 1, "63": [1, 11, 20], "64": [1, 11, 16], "65": [1, 18], "66": 1, "22mb": 1, "67": 1, "95mb": 1, "68": 1, "71mb": 1, "69": 1, "70": [1, 20], "71": [1, 18], "21mb": 1, "72": 1, "25mb": 1, "73": 1, "03mb": 1, "74": 1, "75": [1, 20], "76": 1, "77": 1, "39mb": 1, "78": 1, "79": 1, "52mb": 1, "80": [1, 12, 16, 20], "65mb": 1, "81": [1, 18], "82": 1, "83": 1, "97mb": 1, "84": [1, 16, 20], "85": 1, "80mb": 1, "86": 1, "84mb": 1, "87": 1, "88": [1, 14, 20], "89": [1, 18], "98mb": 1, "90": [1, 24], "78mb": 1, "91": 1, "92": [1, 18], "93": [1, 14], "94": 1, "95": [1, 20], "96": [1, 16, 18, 20], "97": 1, "07mb": 1, "81mb": 1, "98": 1, "17mb": 1, "99": 1, "10mb": 1, "100": [1, 3, 14, 15, 16, 20], "193gb": 1, "import": [1, 3, 5, 8, 12, 16, 20, 21], "hyperspi": [1, 3, 5, 7, 8, 9, 10, 11, 16, 19, 20, 21, 23, 24], "api": [1, 3, 5, 7, 8, 9, 10, 16, 19, 20, 21], "h": [1, 3, 5, 11, 14, 15, 16, 20, 21], "load": [1, 12, 21, 22, 23], "coreloss_spectrum": 1, "msa": [1, 20], "signal_typ": [1, 20, 24], "ll": [1, 8, 15, 16, 20, 21], "lowloss_spectrum": 1, "add_el": [1, 15, 16, 20, 21], "mn": [1, 12, 16, 20, 24], "o": [1, 8, 16, 21], "set_microscope_paramet": [1, 11, 16, 20, 21], "beam_energi": [1, 16, 20, 21, 24], "300": [1, 21], "convergence_angl": [1, 16, 21, 24], "collection_angl": [1, 16, 21, 24], "m": [1, 3, 5, 15, 16, 18, 20, 21], "create_model": [1, 3, 5, 15, 16, 20, 21], "low_loss": [1, 12, 15, 16], "enable_fine_structur": [1, 15, 21], "multifit": [1, 3, 15, 21], "kind": [1, 15, 21], "smart": [1, 15, 21], "total": [1, 3, 4, 5, 6, 14, 16, 17], "run": [1, 3, 5, 16, 20, 23], "time": [1, 3, 5, 7, 15, 16, 20, 24], "script": [1, 3, 5], "minut": [1, 3, 5], "528": [1, 4, 17], "second": [1, 3, 5, 11, 16, 18, 20, 24], "eels_curve_fit": [1, 4, 17], "ipynb": [1, 3, 5], "py": [1, 3, 4, 5, 17], "galleri": [1, 2, 3, 5, 9, 10, 17], "fit": [3, 4, 7, 9, 10, 11, 15, 16, 17, 22], "affin": 3, "function": [3, 5, 7, 8, 9, 10, 11, 15, 16, 20, 21, 22], "numpi": [3, 5, 7, 8, 11, 16, 20], "np": [3, 5, 11, 15, 16], "creat": [3, 5, 15, 16, 20], "signal": [3, 5, 11, 12, 13, 14, 15, 18, 20, 21, 22], "data": [3, 5, 9, 10, 11, 13, 15, 16, 18, 22, 24], "arang": [3, 5, 11, 16], "1000": [3, 16], "dtype": [3, 16], "int64": 3, "reshap": [3, 11], "signal1d": [3, 5, 11, 15, 16, 20, 21], "add": [3, 5, 7, 12, 15, 16, 20, 21, 24], "nois": [3, 12, 16, 21], "add_poissonian_nois": [3, 16], "random_st": [3, 12], "model": [3, 5, 7, 11, 13, 16, 20, 24], "line": [3, 8, 11, 14, 15, 16, 21, 22, 24], "components1d": [3, 5, 7, 11, 15, 21], "express": [3, 11], "x": [3, 5, 7, 9, 10, 11, 12, 14, 15, 16, 18, 22, 24], "name": [3, 5, 9, 10, 11, 14, 15, 16, 20, 21], "append": [3, 5, 15], "navig": [3, 11, 12, 16, 20], "posit": [3, 11, 15, 16, 20, 21, 24], "except": [3, 15, 16, 20, 21], "ignor": [3, 15, 16], "tqdm": 3, "__del__": 3, "0x7f5eca0059e0": 3, "traceback": [3, 8], "most": [3, 16, 20, 21], "recent": 3, "call": [3, 8, 15, 16, 20, 21], "last": [3, 16], "opt": 3, "hostedtoolcach": 3, "x64": 3, "lib": 3, "python3": 3, "site": 3, "packag": [3, 7, 8, 9, 10, 22], "std": [3, 5, 15, 16], "1148": 3, "self": [3, 15, 16], "close": [3, 11, 16], "279": 3, "disp": 3, "bar_styl": 3, "danger": 3, "check_delai": 3, "fals": [3, 5, 11, 12, 15, 16], "attributeerror": [3, 16], "tqdm_notebook": 3, "object": [3, 11, 15, 16, 20, 24], "ha": [3, 9, 10, 15, 16, 21, 24], "attribut": [3, 11, 15, 16, 20, 21, 24], "1478": 3, "59it": 3, "plot_residu": [3, 4, 17], "true": [3, 5, 7, 11, 12, 15, 16, 20, 21], "sphinx_gallery_thumbnail_numb": 3, "553": [3, 4, 17], "450": [4, 17], "execut": [4, 6, 15, 17, 21], "from": [4, 6, 7, 11, 12, 14, 15, 16, 17, 18, 19, 21, 23, 24], "auto_exampl": [4, 6], "model_fit": [4, 17], "mem": [4, 6, 17], "mb": [4, 6, 17], "simple_arctan_fit": [4, 5, 17], "369": [4, 5, 17], "model1d": [5, 15], "currentcomponentvalu": 5, "activ": [5, 15, 21, 23], "paramet": [5, 9, 10, 11, 12, 14, 15, 16, 21, 22, 24], "free": [5, 9, 10, 11, 15, 16, 21], "valu": [5, 8, 11, 12, 15, 16, 20, 21, 24], "min": [5, 12, 16], "max": [5, 12, 16], "linear": [5, 11, 16], "A": [5, 6, 11, 12, 14, 15, 16, 18, 20, 21, 24], "00230153": 5, "00213288": 5, "none": [5, 11, 12, 15, 16], "k": [5, 11, 12, 14, 18, 20, 21, 24], "16860784": 5, "10809514": 5, "x0": [5, 11], "02252986": 5, "07242428": 5, "make": [5, 8, 19, 21], "500": 5, "axes_manag": [5, 11, 16, 20], "offset": [5, 11, 12, 15, 16, 20], "unit": [5, 16, 19, 20, 24], "metadata": [5, 7, 9, 10, 14, 15, 16, 20, 21, 22], "titl": [5, 12, 16, 20, 21], "set_signal_origin": 5, "simul": [5, 12, 15, 16, 21], "add_gaussian_nois": 5, "compon": [5, 7, 13, 14, 15, 16, 20, 21], "us": [5, 7, 8, 9, 10, 11, 12, 14, 15, 16, 18, 19, 20, 21, 22, 24], "arctan_compon": 5, "print": [5, 15, 16, 21], "print_current_valu": [5, 20], "000": 6, "n": [6, 16, 21, 23, 24], "entri": 7, "develop": [7, 8, 23], "version": [7, 9, 10, 14, 21, 23], "ar": [7, 8, 9, 10, 11, 12, 15, 16, 19, 20, 21, 23, 24], "avail": [7, 11, 15, 16, 20, 21], "http": [7, 11, 14, 18, 20], "exspi": [7, 8, 13, 20, 21, 22, 23], "readthedoc": [7, 11], "io": [7, 11], "en": [7, 14], "latest": 7, "chang": [7, 8, 15, 16, 18, 20, 21], "html": [7, 11, 16], "restor": [7, 16], "gosh": [7, 11, 15, 16, 21], "hartre": [7, 15, 16, 21], "slater": [7, 15, 16, 18, 21], "store": [7, 11, 15, 16, 20, 21, 24], "logo": 7, "adapt": [7, 11], "spell": 7, "capit": [7, 24], "ruff": 7, "lint": 7, "format": [7, 16, 20, 21], "remov": [7, 15, 16, 21], "redund": 7, "github": [7, 8, 23], "workflow": [7, 8], "favour": 7, "pre": [7, 16], "commit": 7, "deprec": 7, "scipi": [7, 11, 15, 16], "warn": [7, 16, 20], "support": [7, 11, 15, 16, 21], "tabul": [7, 18, 21], "generalis": 7, "oscil": 7, "strength": 7, "open": [7, 9, 10, 16, 23], "By": [7, 16, 20, 21, 24], "default": [7, 11, 12, 15, 16, 20, 21, 24], "freeli": [7, 21], "usabl": [7, 21], "dataset": [7, 11, 16, 20, 21], "doi": [7, 9, 10, 11, 14, 15, 16, 18, 21], "5281": [7, 15, 16, 21], "zenodo": [7, 15, 16, 21], "7645765": [7, 15, 16, 21], "3082": 7, "fine": [7, 11, 15, 20], "structur": [7, 8, 11, 15, 16, 20, 22], "e": [7, 9, 10, 11, 14, 16, 18, 19, 20, 21, 24], "g": [7, 9, 10, 11, 14, 16, 20, 21, 24], "gaussian": [7, 11, 15, 16, 20, 21], "3206": 7, "enabl": [7, 15, 16, 20, 21], "signal_rang": [7, 16, 21], "argument": [7, 11, 15, 16, 20, 21], "when": [7, 8, 16, 20, 21, 24], "subpixel": [7, 16, 21], "align_zero_loss_peak": [7, 16, 21], "towncrier": 7, "manag": 7, "releas": [7, 23], "note": [7, 11, 12, 15, 16, 19, 20, 21, 24], "set": [7, 11, 12, 15, 16, 19, 20, 21], "dev": 7, "reusabl": 7, "organis": 7, "doc": [7, 8], "consolid": 7, "pyproject": 7, "toml": 7, "setuptools_scm": 7, "holospi": 7, "build": [7, 15], "test": [7, 11, 16, 20], "wa": [7, 11, 20], "split": [7, 11], "out": [7, 8, 9, 10, 16, 20, 21], "repositori": [7, 8, 23], "oct": 7, "The": [7, 8, 9, 10, 11, 12, 14, 15, 16, 18, 19, 20, 21, 24], "rai": [7, 9, 10, 14, 15, 16, 18, 22, 24], "energi": [7, 9, 10, 11, 12, 14, 15, 16, 18, 22, 24], "dispers": [7, 9, 10, 16, 18, 22, 24], "spectroscopi": [7, 9, 10, 11, 16, 18, 22, 24], "ed": [7, 9, 10, 12, 15, 16, 18, 22], "electron": [7, 9, 10, 11, 12, 16, 18, 22, 24], "loss": [7, 9, 10, 11, 12, 15, 16, 18, 22, 24], "so": [7, 16, 20, 21], "far": [7, 21], "were": 7, "move": 7, "meant": 8, "commun": [8, 9, 10], "maintain": [8, 9, 10], "project": [8, 9, 10, 16], "we": [8, 9, 10, 20, 21, 23], "welcom": 8, "form": [8, 9, 10, 14, 15, 16, 18], "bug": 8, "report": 8, "featur": [8, 16, 21], "more": [8, 9, 10, 11, 12, 15, 16, 20, 21, 23], "In": [8, 16, 20, 21, 23], "follow": [8, 11, 15, 16, 20, 21, 23, 24], "refer": [8, 9, 10, 11, 15, 16, 18, 20, 23, 24], "some": [8, 12, 16, 21], "resourc": 8, "help": [8, 9, 10, 16, 21], "you": [8, 9, 10, 15, 16, 20, 21, 23], "tracker": 8, "can": [8, 9, 10, 15, 16, 19, 20, 21, 23, 24], "propos": 8, "give": [8, 16, 19, 21], "minim": [8, 15], "demonstr": 8, "copi": [8, 11, 15, 16], "past": 8, "error": [8, 12, 20], "If": [8, 9, 10, 11, 12, 14, 15, 16, 20, 21, 23, 24], "want": [8, 21, 23], "send": 8, "u": 8, "small": [8, 16], "fix": [8, 11, 15, 20], "correct": [8, 11, 15, 16, 18, 21], "user": [8, 9, 10, 11, 15, 16, 20, 23], "guid": [8, 9, 10, 15, 16, 23], "typic": [8, 16, 20], "good": [8, 16, 21], "start": [8, 9, 10, 16], "point": [8, 15, 16, 21], "But": 8, "don": [8, 16], "t": [8, 14, 16, 18, 19], "hesit": 8, "also": [8, 12, 15, 16, 20, 21, 23, 24], "signific": [8, 9, 10], "need": [8, 15, 16, 20, 21, 23], "get": [8, 9, 10, 12, 21, 22], "readi": 8, "common": 8, "standard": [8, 12, 15, 16, 18, 20, 21], "pleas": [8, 9, 10, 16, 20, 23], "order": [8, 12, 15, 16, 20, 21], "detail": [8, 9, 10, 11, 15, 16, 18, 20, 21, 23, 24], "guidelin": [8, 9, 10], "kikuchipi": 8, "contributor": 8, "anoth": [8, 16, 20, 21, 24], "extens": [8, 9, 10], "valuabl": 8, "provid": [8, 9, 10, 12, 15, 16, 20, 21], "As": [8, 21], "qualiti": 8, "assur": 8, "improv": [8, 16, 20, 21], "ensur": 8, "thoroughli": 8, "least": [8, 11, 15], "one": [8, 11, 12, 15, 16, 20, 21, 23], "other": [8, 15, 16, 21, 23], "member": 8, "team": 8, "befor": [8, 9, 10, 16, 20, 21], "being": [8, 16, 20], "merg": 8, "consist": [8, 12, 16, 20, 21], "three": [8, 16, 18, 20, 21], "element": [8, 11, 12, 14, 15, 16, 24], "docstr": [8, 15, 16], "individu": [8, 15], "method": [8, 11, 15, 16, 18, 19, 20, 21, 24], "written": 8, "host": 8, "read": [8, 9, 10, 15, 16, 24], "part": [8, 15, 18, 21], "demo": 8, "tutori": [8, 9, 10, 20], "alwai": [8, 16], "wai": [8, 9, 10, 20], "learn": [8, 16, 18], "through": [8, 16, 20], "respect": [8, 12, 24], "black": [8, 16], "For": [8, 9, 10, 11, 15, 16, 20, 21], "numpydoc": 8, "should": [8, 15, 16, 20, 21, 24], "block": 8, "blank": 8, "between": [8, 11, 14, 15, 16, 20, 21], "them": [8, 15, 16, 20, 21], "librari": [8, 9, 10, 23], "like": [8, 15, 16], "type": [8, 11, 12, 14, 15, 16, 19, 20, 21, 24], "third": 8, "parti": 8, "final": [8, 16, 20], "via": [8, 16, 18], "pytest": 8, "framework": 8, "resid": 8, "directori": 8, "short": [8, 9, 10], "compar": 8, "output": [8, 16, 20, 21], "known": [8, 15, 16, 21], "answer": 8, "further": [8, 9, 10, 15, 20], "inform": [8, 9, 10, 11, 15, 16, 20, 21, 24], "semant": 8, "number": [8, 9, 10, 11, 12, 16, 20, 21, 22, 24], "therefor": [8, 16, 19, 20, 21], "major": [8, 16, 21], "minor": [8, 16, 21], "patch": 8, "each": [8, 12, 14, 15, 16, 20], "depend": [8, 15, 16, 21, 23], "accord": [8, 11, 16], "increas": [8, 9, 10, 16, 20], "incompat": 8, "ad": [8, 12, 15, 16, 20, 21], "backward": 8, "compat": 8, "manner": [8, 15, 16, 21], "process": [8, 9, 10, 15, 24], "push": 8, "pypi": [8, 23], "conda": [8, 22], "forg": [8, 23], "extend": [9, 10, 15, 20, 24], "multi": [9, 10, 15, 20], "dimension": [9, 10, 18, 20], "analysi": [9, 10, 11, 16, 18, 20, 22], "It": [9, 10, 11, 15, 16, 20, 21], "aim": [9, 10], "check": [9, 10, 23], "instal": [9, 10, 22], "section": [9, 10, 16, 18, 20, 21, 23, 24], "includ": [9, 10, 11, 15, 16, 20, 21, 23], "how": [9, 10], "thi": [9, 10, 11, 12, 15, 16, 20, 21, 24], "everyon": [9, 10], "contribut": [9, 10, 16], "our": [9, 10], "see": [9, 10, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 24], "new": [9, 10, 15, 16, 18, 21], "ecosystem": [9, 10], "introduct": [9, 10], "basic": [9, 10, 21], "usag": [9, 10, 16], "depth": [9, 10], "kei": [9, 10, 11, 12, 15, 16], "concept": [9, 10], "along": [9, 10, 15, 16, 20, 21, 24], "background": [9, 10, 11, 12, 15, 16, 21], "explan": [9, 10], "specif": [9, 10, 12, 16, 20, 21, 24], "applic": [9, 10, 20], "progam": [9, 10], "interfac": [9, 10, 11, 16], "which": [9, 10, 15, 16, 20, 21, 24], "describ": [9, 10, 16, 21, 22, 24], "work": [9, 10, 16, 23, 24], "illustr": [9, 10], "task": [9, 10, 21], "whole": [9, 10, 16, 21], "its": [9, 10, 14, 15, 16, 19, 21, 24], "There": [9, 10, 21], "mani": [9, 10, 16, 21], "been": [9, 10, 11, 16], "lead": [9, 10, 16], "academ": [9, 10], "public": [9, 10], "acknowledg": [9, 10], "fact": [9, 10], "badg": [9, 10], "without": [9, 10, 11, 20, 21], "becaus": [9, 10, 16, 21], "have": [9, 10, 11, 16, 20, 21, 23], "emploi": [9, 10], "find": [9, 10, 16, 23], "click": [9, 10, 21], "given": [9, 10, 12, 14, 15, 16, 19, 20, 21, 24], "articl": [9, 10], "do": [9, 10, 16, 23], "list": [9, 10, 11, 12, 14, 15, 16, 20, 21, 24], "up": [9, 10, 15, 16, 20, 21], "date": [9, 10], "search": [9, 10, 12, 16, 20, 21, 24], "databas": [9, 10, 12, 14, 21], "googl": [9, 10], "scholar": [9, 10], "publish": [9, 10], "2012": [9, 10], "mai": [9, 10, 16, 20], "mention": [9, 10], "under": [9, 10, 15, 20], "old": [9, 10, 16], "eelslab": [9, 10], "softwar": [9, 10, 16, 20], "redistribut": [9, 10], "modifi": [9, 10, 16], "term": [9, 10], "gnu": [9, 10], "gpl": [9, 10], "foundat": [9, 10], "either": [9, 10, 16, 20, 24], "your": [9, 10, 15], "option": [9, 10, 11, 12, 15, 16, 20, 21, 23], "ani": [9, 10, 11, 12, 15, 16, 20, 21, 24], "later": [9, 10], "distribut": [9, 10, 11, 15, 16, 23], "hope": [9, 10], "warranti": [9, 10], "even": [9, 10], "impli": [9, 10], "merchant": [9, 10], "particular": [9, 10, 20], "purpos": [9, 10, 16, 21], "class": [11, 12, 15, 16, 19, 20, 21, 24], "doublepowerlaw": [11, 13], "1e": 11, "r": [11, 14, 16, 18], "origin": [11, 15, 16], "shift": [11, 15, 16], "ratio": [11, 15, 16, 21], "left_cutoff": 11, "modul": [11, 16], "numexpr": 11, "compute_gradi": 11, "kwarg": [11, 15, 16], "base": [11, 12, 15, 16, 21, 23], "doubl": 11, "power": [11, 15, 16], "law": [11, 15, 16], "spectra": [11, 12, 16, 20, 21, 24], "f": [11, 16, 18, 19], "cdot": 11, "s_r": 11, "x_0": 11, "x_": 11, "variabl": 11, "float": [11, 12, 14, 15, 16, 20, 21, 24], "height": [11, 15, 20, 21], "coeffici": [11, 14, 16, 18], "locat": [11, 15, 16, 21], "two": [11, 15, 16, 19, 20, 21], "extra": [11, 15, 16, 24], "keyword": [11, 15, 16, 21], "pass": [11, 15, 16], "return": [11, 12, 14, 15, 16, 20, 21], "parameter_name_list": 11, "linear_parameter_list": 11, "function_nd": 11, "axi": [11, 15, 16, 21, 24], "arrai": [11, 14, 16, 20], "contain": [11, 12, 15, 16, 20, 21, 24], "indic": [11, 16], "enough": 11, "memori": [11, 16], "quickli": 11, "obtain": [11, 15, 16, 20, 21], "iter": [11, 15, 16, 20, 21], "over": [11, 16, 21], "ax": [11, 16, 20], "eelsarctan": [11, 13], "minimum": [11, 12, 15, 16, 21], "zero": [11, 12, 16, 19, 24], "left": [11, 15, 16, 19, 20], "frac": [11, 19], "pi": [11, 19], "right": [11, 15, 16, 19, 20], "amplitud": 11, "lim_": 11, "infti": 11, "2a": 11, "slope": 11, "steep": 11, "step": [11, 16, 20, 23], "larger": [11, 16, 20], "sharper": 11, "center": [11, 16, 20], "eelscledg": [11, 13, 15, 21], "element_subshel": 11, "gos_file_path": [11, 15, 16, 21], "as_dictionari": [11, 15, 16], "fullcopi": [11, 15], "dictionari": [11, 15, 16], "convent": [11, 24], "export_to_dictionari": [11, 15], "bool": [11, 12, 15, 16], "found": [11, 15, 16, 20, 24], "pickl": [11, 15], "convert": [11, 14, 15, 16, 19], "dic": 11, "field": [11, 15, 24], "per": [11, 15, 16, 19, 20], "_whitelist": [11, 15], "dict": [11, 15, 16], "properti": [11, 15, 19, 20, 21], "fine_structure_smooth": [11, 21], "control": [11, 15, 21], "level": 11, "smooth": [11, 16, 21], "must": [11, 12, 16, 20, 21], "real": [11, 16, 21], "higher": [11, 20], "fix_fine_structur": [11, 15, 21], "spline": [11, 21], "free_fine_structur": [11, 15, 21], "onli": [11, 14, 15, 16, 20, 21, 23, 24], "previous": [11, 16, 20], "fine_structure_spline_act": [11, 21], "count": [11, 16], "barn": [11, 20], "get_fine_structure_as_signal1d": 11, "multipl": [11, 15, 16, 20, 21], "scatter": [11, 14, 15, 16, 18, 19], "convolv": [11, 15, 16, 21], "low": [11, 12, 15, 16, 21], "gui": [11, 20], "displai": [11, 12, 16, 20, 21], "toolkit": [11, 16], "interact": [11, 14, 16, 21], "widget": [11, 16], "usual": [11, 15, 16, 20, 21], "customis": [11, 16], "str": [11, 14, 15, 16, 24], "string": [11, 12, 15, 16, 24], "select": [11, 15, 16, 20, 21], "inter": [11, 16], "e0": 11, "alpha": [11, 15, 20, 24], "beta": [11, 19, 24], "energy_scal": 11, "microscop": [11, 12, 16, 18, 24], "beam": [11, 15, 16, 18, 20, 21, 24], "kev": [11, 14, 15, 16, 20, 21, 24], "converg": [11, 12, 16, 20, 21, 24], "semi": [11, 16, 19, 21, 24], "angl": [11, 16, 19, 21, 24], "mrad": [11, 16, 21, 24], "collect": [11, 12, 16, 19, 21, 24], "ev": [11, 12, 15, 16, 18, 20, 21, 24], "pesvoigt": [11, 13], "voigt": 11, "photoemiss": 11, "profil": [11, 16], "shirlei": 11, "non_isochromat": 11, "transmission_funct": 11, "spin": 11, "orbit": 11, "special": [11, 21], "suit": 11, "l": [11, 15, 21, 24], "where": [11, 16, 19, 20], "lorentzian": [11, 15], "approxim": [11, 12, 16, 21, 24], "formula": [11, 12], "david": 11, "area": [11, 15, 16, 20, 21, 24], "intens": [11, 15, 16, 22], "peak": [11, 12, 15, 16, 19, 20, 24], "centr": [11, 15, 16], "maximum": [11, 12, 15, 16, 20, 21, 24], "fwhm": [11, 16, 20, 21, 24], "sigma": [11, 15], "sqrt": 11, "log": [11, 15, 16, 21], "gamma": 11, "resolut": [11, 12, 15, 16, 20, 24], "shirley_background": 11, "spin_orbit_split": 11, "spin_orbit_branching_ratio": 11, "spin_orbit_splitting_energi": 11, "w": 11, "j": [11, 18], "appl": 11, "cryst": 11, "1986": 11, "1107": 11, "s0021889886089999": 11, "estimate_paramet": 11, "e1": [11, 15], "e2": [11, 15], "only_curr": [11, 15], "estim": [11, 14, 15, 16, 20], "calcul": [11, 14, 15, 16, 20, 21], "momenta": 11, "instanc": [11, 12, 15, 16], "x1": 11, "defin": [11, 15, 16, 20, 21], "limit": [11, 15, 16, 20], "spectral": [11, 15, 16, 21], "rang": [11, 15, 16, 21], "x2": 11, "exit": 11, "statu": 11, "requir": [11, 15, 16, 21, 23], "remove_background": 11, "cookbook": 11, "item": [11, 16, 24], "fittingdata": 11, "2000": 11, "scale": [11, 15, 16, 20], "phi": 11, "secondari": 11, "emiss": 11, "begin": 11, "case": [11, 16, 20, 21], "leq": 11, "tail": [11, 16], "asymmetri": 11, "vignet": [11, 13], "len": 11, "co": 11, "multipli": [11, 20], "edg": [11, 12, 15, 16, 21], "volumeplasmondrud": [11, 13], "plasmon_energi": 11, "drude": 11, "volum": [11, 16, 19], "plasmon": [11, 16, 21], "i_0": [11, 19], "delta": [11, 15, 16], "e_p": 11, "_compon": 11, "egerton": [11, 16, 18], "2nd": [11, 21], "edit": 11, "plenum": 11, "press": 11, "1996": [11, 18], "pp": 11, "154": 11, "158": 11, "equat": 11, "eds_sem_tm002": [12, 13, 16], "sem": [12, 15, 16, 20], "tm002": 12, "suppli": [12, 16, 20], "bundesanstalt": 12, "f\u00fcr": 12, "materialforschung": 12, "und": 12, "pr\u00fcfung": 12, "bam": [12, 20], "sampl": [12, 14, 15, 16, 19, 22], "\u00b5m": 12, "thick": [12, 16, 18, 19, 20], "layer": [12, 21], "c": [12, 14, 15, 16, 18, 20, 23], "al": [12, 14, 16, 20], "cu": [12, 14, 16, 20], "zr": [12, 16, 20], "silicon": 12, "substrat": 12, "www": [12, 20], "webshop": 12, "de": [12, 18, 19], "nvision40": 12, "carl": 12, "zeiss": 12, "detector": [12, 15, 16], "oxford": [12, 20], "instrument": [12, 16, 20, 24], "eds_tem_fept_nanoparticl": [12, 13, 16, 20], "tem": [12, 15, 16, 20], "fept": [12, 20], "bimetal": [12, 20], "nanoparticl": [12, 18, 20], "tecnai": 12, "osiri": 12, "200": 12, "kv": [12, 20], "d658": 12, "analyticaltwin": 12, "super": [12, 20], "brucker": 12, "eels_mnf": [12, 13], "add_powerlaw": 12, "add_nois": [12, 16], "navigation_shap": [12, 16], "artifici": 12, "core": [12, 15, 16, 21], "similar": 12, "l32": 12, "perovskit": 12, "oxid": 12, "random": [12, 15, 16], "experiment": [12, 15, 20, 21], "powerlaw": [12, 15, 16, 21], "seed": 12, "reproduc": [12, 21], "int": [12, 15, 16, 24], "randomst": 12, "tupl": [12, 15, 16, 21], "shape": [12, 16, 21], "space": [12, 16], "length": [12, 16, 21, 24], "eelsspectrum": [12, 13, 15, 16, 21], "eels_mn": 12, "With": [12, 20], "eels_low_loss": [12, 13], "eelsdb": [12, 13, 21], "spectrum_typ": [12, 21], "author": 12, "min_energi": 12, "max_energi": 12, "min_energy_compar": 12, "gt": 12, "max_energy_compar": 12, "lt": 12, "resolution_compar": 12, "max_n": 12, "monochrom": [12, 16], "order_direct": 12, "asc": 12, "verify_certif": 12, "show_progressbar": [12, 16], "coreloss": [12, 21], "lowloss": [12, 16, 21], "zeroloss": 12, "xrayab": 12, "text": 12, "filter": [12, 16], "presenc": 12, "correspond": [12, 14, 15, 16, 20, 21], "valid": [12, 14, 15, 16], "symbol": [12, 14, 15, 16, 21, 24], "chemic": [12, 16, 18, 20, 21], "l1": [12, 15], "l2": [12, 15], "m2": [12, 15], "m4": 12, "n2": 12, "n4": 12, "o2": 12, "o4": 12, "eq": 12, "less": [12, 16, 20], "than": [12, 16, 20, 21], "equal": [12, 14, 16], "greater": 12, "deafault": 12, "sort": [12, 16], "spectrumtyp": 12, "spectrummin": 12, "spectrummax": 12, "stepsiz": 12, "spectrumformula": 12, "spectrumel": 12, "spectrumupload": 12, "source_pur": 12, "spectrumedg": 12, "guntyp": 12, "beamenergi": 12, "acquisition_mod": [12, 24], "probes": 12, "beamcurr": 12, "integratetim": 12, "readout": 12, "darkcurr": 12, "gainvari": 12, "calibr": [12, 15, 16], "zeroloss_deconv": 12, "deconv_fourier_log": 12, "deconv_fourier_ratio": 12, "deconv_stephens_deconvolut": 12, "deconv_richardson_luci": 12, "deconv_maximum_entropi": 12, "deconv_oth": 12, "assoc_spectra": 12, "ref_freetext": 12, "ref_doi": 12, "ref_url": 12, "ref_author": 12, "ref_journ": 12, "ref_volum": 12, "ref_issu": 12, "ref_pag": 12, "ref_year": 12, "ref_titl": 12, "otherurl": 12, "desc": 12, "direct": 12, "verifi": 12, "websit": 12, "certif": 12, "rais": [12, 15, 16, 20], "invalid": 12, "continu": [12, 15, 21], "queri": 12, "potenti": 12, "secur": 12, "risk": 12, "progress": [12, 15, 16, 18], "bar": [12, 16], "prefer": [12, 16, 20], "match": [12, 16, 21], "criteria": 12, "materi": [13, 16, 18, 20, 21], "atomic_to_weight": [13, 14, 20], "density_of_mixtur": [13, 14], "mass_absorption_coeffici": [13, 14, 20], "mass_absorption_mixtur": [13, 14, 20], "weight_to_atom": [13, 14, 20], "edsmodel": [13, 15, 16], "edssemmodel": [13, 15, 16], "edstemmodel": [13, 15, 16], "eelsmodel": [13, 15, 16, 21], "dielectricfunct": [13, 16, 19], "edssemspectrum": [13, 15, 16, 20], "edsspectrum": [13, 15, 16], "edstemspectrum": [13, 15, 16, 20], "lazydielectricfunct": [13, 16], "lazyedssemspectrum": [13, 16], "lazyedsspectrum": [13, 16], "lazyedstemspectrum": [13, 16], "lazyeelsspectrum": [13, 16], "atomic_perc": [14, 20], "auto": [14, 16, 20], "atom": [14, 16, 18, 19, 20, 21], "percent": [14, 16, 20], "weight": [14, 15, 16, 20], "fraction": [14, 15, 16], "composit": [14, 16, 20], "abbrevi": [14, 20], "zn": [14, 15, 20], "take": [14, 16, 21], "weight_perc": [14, 16, 20], "modern": 14, "bronz": 14, "sn": 14, "00501989": 14, "99498011": 14, "mean": [14, 15, 16, 21], "harmon": 14, "densiti": [14, 16, 20, 21], "mixtur": 14, "retriev": [14, 20, 21], "intern": [14, 16], "differ": [14, 15, 16, 20, 21], "divid": [14, 16], "sum": [14, 16, 19], "normal": [14, 16], "cm3": 14, "6903187973131466": 14, "mass": [14, 16, 18, 19], "absorpt": [14, 16, 18], "mu": 14, "rho": 14, "absorb": 14, "pure": [14, 20], "chantler2005": [14, 18, 20], "al_ka": [14, 15, 16, 20, 24], "cm": [14, 16, 20], "c_ka": [14, 15, 16, 20], "26330": [14, 20], "38933818": [14, 20], "372": [14, 20], "02616732": [14, 20], "dx": 14, "org": [14, 18], "18434": 14, "t4hs32": 14, "chantler": [14, 18], "olsen": [14, 18], "dragoset": [14, 18], "kishor": [14, 18], "kotochigova": [14, 18], "zucker": [14, 18], "d": [14, 15, 18], "2005": 14, "factor": [14, 16, 18, 20], "attenu": [14, 18], "tabl": [14, 16, 21], "first": [14, 15, 16, 20, 21, 23, 24], "dimens": [14, 16, 19, 20], "matrix": 14, "2587": [14, 20], "41616439": 14, "wt": 14, "th": 14, "19698614": 14, "80301386": 14, "auto_background": [15, 16], "auto_add_lin": [15, 16], "arg": [15, 16], "subclass": [15, 16, 19, 21], "automat": [15, 16, 20, 21, 23], "add_family_lin": [15, 16], "polynomi": [15, 16, 20], "add_polynomial_background": [15, 16], "creator": 15, "fit_background": [15, 20], "calibrate_energy_axi": [15, 20], "calibrate_xray_lin": [15, 20], "au_ma": 15, "sub_weight": [15, 20], "mn_la": [15, 16, 20], "bound": [15, 20], "xray_lin": [15, 16, 20, 24], "from_el": [15, 16], "xrai": [15, 16], "configur": [15, 21], "appropi": 15, "familii": 15, "ka": [15, 16, 20, 24], "kb": [15, 16, 20], "too": 15, "main": [15, 16, 20], "those": [15, 16, 21], "altern": [15, 16, 20, 23], "eg": [15, 16], "zn_ka": 15, "notimplementederror": [15, 16], "non": [15, 16, 21], "uniform": [15, 16], "background_compon": 15, "degre": [15, 16, 24], "freedom": 15, "dof": 15, "chi": 15, "squar": [15, 20], "chisq": 15, "all_alpha": 15, "width": [15, 16, 20, 21, 24], "place": [15, 16], "extrapol": [15, 16], "energy_resolution_mnka": [15, 16, 20, 24], "updat": [15, 21, 22], "word": 15, "singl": [15, 16, 19, 20, 21], "sub": [15, 20], "famili": [15, 16], "current": [15, 16, 21, 24], "disable_xray_lin": [15, 20], "disabl": [15, 20, 21], "enable_xray_lin": [15, 20], "start_energi": [15, 16], "end_energi": 15, "windows_sigma": 15, "after": [15, 16, 20, 21], "lower": [15, 16], "upper": [15, 16], "around": [15, 16, 21], "free_background": [15, 20], "fix_background": [15, 20], "fix_sub_xray_lines_weight": [15, 20], "establish": 15, "twin": 15, "fix_xray_lines_energi": [15, 20], "actual": [15, 21], "fix_xray_lines_width": [15, 20], "yscale": 15, "free_sub_xray_lines_weight": [15, 20], "free_xray_lines_energi": [15, 20], "001": 15, "free_xray_lines_width": [15, 20], "get_lines_intens": [15, 16, 20], "plot_result": [15, 16, 20], "only_on": [15, 16], "only_lin": [15, 16, 20], "corresp": 15, "undefin": [15, 16], "empti": [15, 16], "same": [15, 16, 20, 21, 24], "syntax": [15, 16], "add_lin": [15, 16, 20], "subset": [15, 16, 20], "oper": [15, 16, 23], "instead": [15, 16, 21], "highest": [15, 16, 20], "abov": [15, 16, 20, 21, 23], "overvoltag": [15, 16, 20], "util": [15, 16, 21, 22, 24], "plot_sign": [15, 16], "ta_ma": 15, "thing": [15, 16], "g1": [15, 21], "g2": [15, 21], "could": [15, 20], "Or": 15, "acquir": [15, 16, 21, 24], "constructor": 15, "auto_add_edg": [15, 16], "assum": [15, 16, 20, 21], "effect": [15, 16, 21, 22], "ioniz": [15, 16, 20, 21], "ionis": [15, 16, 21], "hydrogen": [15, 16, 21], "specifi": [15, 16, 20, 21], "path": [15, 16, 21], "recreat": [15, 16], "disable_background": [15, 21], "disable_edg": 15, "edges_list": 15, "onset": [15, 16, 21], "region": [15, 16, 21], "otherwis": [15, 16, 21, 24], "enable_edg": [15, 21], "enable_background": [15, 21], "disable_fine_structur": [15, 21], "set_all_edges_intensities_posit": [15, 21], "unset_all_edges_intensities_posit": [15, 21], "enable_free_onset_energi": [15, 21], "disable_free_onset_energi": [15, 21], "fix_edg": [15, 21], "free_edg": [15, 21], "onset_energi": [15, 21], "dure": [15, 16, 24], "freed": 15, "smart_fit": [15, 21], "optim": [15, 21], "algorithm": [15, 16, 21], "lm": 15, "levenberg": 15, "marquardt": 15, "trf": 15, "trust": 15, "reflect": [15, 16], "dogbox": 15, "dogleg": 15, "rectangular": 15, "odr": 15, "orthogon": 15, "distanc": [15, 20, 24], "regress": 15, "doe": [15, 16, 20, 21], "here": [15, 20], "document": [15, 16, 20, 21, 23, 24], "differenti": 15, "evolut": 15, "global": [15, 21], "differential_evolut": 15, "dual": [15, 18], "anneal": 15, "dual_ann": 15, "shgo": 15, "simplici": 15, "homologi": 15, "loss_funct": 15, "ml": 15, "poisson": [15, 16], "huber": 15, "callabl": 15, "neg": [15, 16], "likelihood": [15, 16], "mle": 15, "huber_delta": 15, "own": [15, 16], "grad": 15, "fd": 15, "analyt": [15, 21], "whether": [15, 16], "about": [15, 16, 21, 23, 24], "gradient": 15, "deriv": [15, 16, 21], "finit": 15, "scheme": 15, "numer": [15, 16], "fd_scheme": 15, "speed": 15, "sinc": [15, 16], "vector": [15, 16], "Not": [15, 16], "update_plot": 15, "slow": [15, 16], "down": [15, 21], "visual": [15, 20, 21], "print_info": [15, 16], "fit_output": 15, "optimizeresult": 15, "return_info": [15, 16], "chosen": [15, 16], "choic": [15, 16], "coordin": [15, 16], "quantifi": [15, 16, 21], "independ": [15, 23], "remove_fine_structure_data": [15, 21], "routin": [15, 21], "fine_structure_width": [15, 21], "resolve_fine_structur": [15, 21], "preedge_safe_window_width": 15, "i1": 15, "adjust": [15, 20, 21], "avoid": [15, 16, 21], "overlap": [15, 21], "everi": [15, 21, 24], "resume_auto_fine_structure_width": 15, "suspend_auto_fine_structure_width": [15, 21], "ext_force_posit": 15, "ext_bound": 15, "set_convolution_axi": 15, "precis": [15, 16], "convolut": 15, "cascad": 15, "style": 15, "procedur": [15, 21], "act": [15, 21], "deactiv": [15, 21], "Then": [15, 21], "repeat": [15, 21], "until": [15, 16, 20, 21], "simultan": [15, 21], "never": [15, 21], "two_area_background_estim": 15, "try": [15, 16, 20, 21], "guess": 15, "unset": 15, "lazi": 16, "counterpart": 16, "signal_dimens": 16, "bin": [16, 20], "transmiss": [16, 18, 24], "microscopi": [16, 18], "scan": [16, 20, 24], "dielectr": [16, 21, 22], "unbin": 16, "complexsignal1d": [16, 19], "ndarrai": 16, "axesmanag": [16, 20], "whose": 16, "might": 16, "mandatori": 16, "original_metadata": 16, "rag": 16, "overwrit": [16, 20], "noth": 16, "get_electron_energy_loss_spectrum": [16, 19], "zlp": [16, 21], "comput": [16, 20, 21, 22], "basesign": [16, 20, 21], "intengr": 16, "ii": [16, 21], "navigation_dimens": 16, "integr": [16, 19, 20, 21, 24], "nm": [16, 20, 24], "get_number_of_effective_electron": [16, 19], "nat": 16, "cumul": 16, "beth": [16, 19], "rule": [16, 19], "rise": [16, 19], "definit": [16, 19], "neff1": 16, "neff2": 16, "n_": [16, 19], "mathrm": [16, 19], "eff_": 16, "eff": 16, "im": [16, 19], "epsilon": [16, 19], "epsilon_": [16, 19], "both": [16, 19, 20, 21], "molecul": [16, 19], "springer": [16, 18], "verlag": [16, 18], "2011": [16, 18], "kward": 16, "measur": [16, 21, 24], "boolean": 16, "get_calibration_from": [16, 20], "ref": 16, "nb_pix": 16, "primari": 16, "To": [16, 19, 20, 21, 23], "rippl": 16, "inca": [16, 20], "live": 16, "dead": [16, 24], "pixel": [16, 20], "averag": [16, 20], "live_tim": [16, 20, 24], "tilt_stag": [16, 20], "azimuth_angl": [16, 20, 24], "elevation_angl": [16, 20, 24], "mode": 16, "fill": 16, "acquisition_instru": [16, 20, 22], "135": 16, "now": [16, 20, 23], "130": [16, 20], "set_el": [16, 20], "set_lin": [16, 20], "although": [16, 20], "thei": [16, 20, 21], "ocassion": 16, "custom": [16, 21], "fe_kb": 16, "addition": [16, 20], "cu_la": [16, 20], "zr_la": [16, 20], "cu_ka": [16, 20], "mn_ka": [16, 20], "add_xray_lines_mark": 16, "render_figur": 16, "marker": [16, 20], "spec": 16, "estimate_background_window": [16, 20], "line_width": [16, 20], "windows_width": 16, "window": [16, 20, 21], "els": [16, 23], "windows_posit": 16, "2d": 16, "bw": [16, 20], "background_window": [16, 20], "fe_ka": [16, 20], "4039": 16, "2754": 16, "pt_la": [16, 20], "4421": 16, "15090": 16, "estimate_integration_window": 16, "integration_window": [16, 20], "row": 16, "iw": 16, "3710": 16, "15872": 16, "map": [16, 20], "sume": 16, "subtract": 16, "while": [16, 20, 21], "ambigu": 16, "allow": [16, 21], "integration_windows_width": 16, "63316": [16, 20], "96700": 16, "8987": [16, 20], "53597": 16, "46716": 16, "get_take_off_angl": 16, "off": [16, 20], "toa": 16, "leav": [16, 24], "surfac": [16, 21, 24], "toward": 16, "stage": [16, 20], "tilt_alpha": [16, 24], "tilt_beta": [16, 24], "take_off_angl": 16, "plot_mark": 16, "autoscal": 16, "v": [16, 19], "norm": 16, "navigator_kwd": 16, "associ": 16, "link": [16, 20], "explor": 16, "imag": [16, 20, 21], "stack": [16, 20], "horizont": 16, "slider": 16, "y": [16, 20, 23, 24], "z": [16, 18, 20, 24], "index": [16, 20, 21, 23], "notic": [16, 21], "compute_navig": 16, "signal_shap": 16, "navigator_shap": 16, "dynam": 16, "rgb": 16, "rgba": 16, "add_mark": 16, "perman": 16, "larg": 16, "veri": [16, 21], "addit": [16, 20, 21], "matplotlib": 16, "pyplot": 16, "imshow": 16, "prior": 16, "power_spectrum": 16, "complex": [16, 19, 21], "combin": 16, "charact": [16, 20], "vertic": 16, "maxima": 16, "reset": [16, 21], "rebin": 16, "new_shap": 16, "crop": 16, "smaller": 16, "interpol": 16, "twice": 16, "size": [16, 20, 21, 24], "underli": 16, "integ": 16, "fewer": 16, "quota": 16, "produc": [16, 20], "determin": [16, 18, 20], "appear": 16, "preserv": 16, "behaviour": 16, "kept": 16, "receiv": 16, "ones": [16, 24], "164": 16, "uint8": 16, "unit16": 16, "s2": 16, "uint16": 16, "keep": 16, "s3": 16, "unsign": 16, "platform": 16, "s4": 16, "uint32": 16, "remove_xray_lines_mark": 16, "render": 16, "figur": 16, "eras": 16, "rechunk": 16, "dataaxi": 16, "directli": [16, 20, 24], "duplic": 16, "chunk": 16, "retain": 16, "intend": 16, "integrate1d": 16, "erron": 16, "misus": 16, "var": 16, "indexmax": 16, "indexmin": 16, "valuemax": 16, "valuemin": 16, "1024": [16, 20], "signal2d": 16, "static": [16, 21], "cl_get_mass_thick": 16, "mass_thick": [16, 20], "calcult": 16, "cliff": [16, 18, 20], "lorim": [16, 18, 20], "initi": 16, "k_factor": 16, "quantif": [16, 21, 22], "edx": [16, 24], "kg": [16, 20], "m\u00b2": [16, 20], "decomposit": 16, "normalize_poissonian_nois": 16, "navigation_mask": 16, "appli": [16, 20, 21, 24], "learning_result": 16, "poissonian": 16, "approach": [16, 18, 20, 21], "mark": 16, "vacuum_mask": 16, "mask": 16, "threshold": [16, 21], "morpholog": 16, "svd": 16, "mlpca": 16, "sklearn_pca": 16, "nmf": 16, "sparse_pca": 16, "mini_batch_sparse_pca": 16, "rpca": 16, "orpca": 16, "ornmf": 16, "implement": [16, 21], "fit_transform": 16, "transform": [16, 20, 21], "scikit": 16, "output_dimens": 16, "auto_transpos": 16, "transpos": 16, "boost": 16, "signal_mask": 16, "var_arrai": 16, "varianc": 16, "pca": 16, "var_func": 16, "reproject": 16, "howev": [16, 20, 21], "sklearn": 16, "svd_solver": 16, "arpack": 16, "solver": 16, "polici": 16, "input": [16, 21], "500x500": 16, "extract": [16, 20], "smallest": 16, "effici": 16, "exact": 16, "truncat": 16, "afterward": 16, "lapack": 16, "linalg": 16, "postprocess": 16, "spars": 16, "strictli": [16, 21], "extmath": 16, "randomized_svd": 16, "treatment": 16, "_data_before_treat": 16, "undo_treat": 16, "made": [16, 20], "benefici": 16, "care": 16, "taken": 16, "overwritten": 16, "si": [16, 20], "change_dtyp": 16, "keenan": 16, "p": [16, 18, 20], "kotula": 16, "account": [16, 21, 23], "multivari": 16, "tof": 16, "sim": 16, "surf": 16, "anal": 16, "2004": 16, "203": 16, "212": 16, "020028": 16, "get_probe_area": 16, "navigation_ax": 16, "probe": [16, 20], "nm\u00b2": [16, 20, 24], "\u03bcm": 16, "composition_unit": [16, 20], "absorption_correct": [16, 20], "convergence_criterion": 16, "probe_area": [16, 20, 24], "max_iter": [16, 20], "zeta": [16, 18, 20], "cross": [16, 18, 20], "success": 16, "percentag": 16, "critera": 16, "intensitii": 16, "cl": [16, 20], "cross_sect": [16, 20], "kfactor": [16, 20], "alphabet": [16, 20], "982": 16, "cr_ka": 16, "ni_ka": 16, "unless": 16, "specfi": 16, "travel": 16, "reach": [16, 20], "nb": 16, "criterium": 16, "threhsold": 16, "correciton": 16, "450226": [16, 20], "075602": [16, 20], "fe": [16, 20], "pt": [16, 20], "la": [16, 18, 20], "re": 16, "beam_curr": [16, 20, 24], "real_tim": [16, 20, 24], "na": [16, 20, 24], "133": 16, "312296": 16, "vacuum": [16, 19], "consid": 16, "opnen": 16, "s_vac": 16, "ones_lik": 16, "005": 16, "include_pre_edg": 16, "declar": [16, 21], "present": [16, 20], "NOT": 16, "valueerror": 16, "also_align": [16, 21], "print_stat": 16, "align": 16, "estimate_zero_loss_peak_centr": [16, 21], "proce": 16, "accuraci": [16, 21], "align1d": [16, 21], "ident": 16, "summari": 16, "statist": 16, "correl": 16, "nan": 16, "Will": 16, "within": [16, 21], "roi": 16, "s_ll": 16, "narrow": [16, 20, 21], "estimate_shift1d": 16, "edges_at_energi": [16, 21], "only_major": 16, "closest": [16, 21], "show": 16, "shown": [16, 20, 21], "nearbi": [16, 21], "ascend": 16, "similarli": [16, 20], "descend": 16, "ascii": 16, "environ": [16, 21], "estimate_elastic_scattering_intens": [16, 21], "rough": 16, "elast": 16, "constant": 16, "i0": 16, "estimate_elastic_scattering_threshold": [16, 21], "tol": [16, 21], "window_length": 16, "polynomial_ord": 16, "inflexion": [16, 21], "look": 16, "local": [16, 21], "often": [16, 21], "bulk": [16, 20], "smoother": [16, 21], "what": [16, 21], "restrict": 16, "toler": [16, 20, 21], "guarante": 16, "savitzki": 16, "golai": 16, "fall": 16, "minima": 16, "caus": [16, 21], "odd": 16, "couldn": 16, "find_peaks1d_ohav": [16, 20, 21], "fourier_ratio_deconvolut": [16, 21], "inde": [16, 21], "achiev": [16, 20], "awar": 16, "estimate_thick": [16, 21], "mean_free_path": 16, "rel": [16, 21], "absolut": [16, 21], "hyperspectrum": 16, "well": [16, 21], "roughli": 16, "across": [16, 21], "nanomet": 16, "angular": [16, 21], "mfp": 16, "just": 16, "coars": 16, "zlpc": 16, "meet": 16, "criterion": 16, "fourier_log_deconvolut": [16, 21], "add_zlp": 16, "fourier": 16, "deconvolut": 16, "deconvolv": 16, "channel": 16, "decai": 16, "smoothli": 16, "side": [16, 20], "extrapolate_lowloss": 16, "extrapolate_coreloss": 16, "reduc": [16, 21], "amplif": 16, "half": [16, 24], "snr": 16, "generate_subshel": 16, "subshel": 16, "get_zero_loss_peak_mask": 16, "zero_loss_peak_mask_width": 16, "kramers_kronig_analysi": [16, 21], "full_output": 16, "ssd": 16, "kramer": 16, "kronig": 16, "relat": [16, 21], "fft": [16, 21], "loop": 16, "devis": 16, "suppos": 16, "unoxid": 16, "planar": 16, "neglect": 16, "coupl": 16, "retard": 16, "broaden": 16, "excit": [16, 20, 21], "particl": 16, "refract": [16, 21], "medium": 16, "stabil": 16, "ep": 16, "epsilon_1": 16, "epsilon_2": 16, "matlab": 16, "wrap": 16, "problem": 16, "workaround": 16, "pad": 16, "plot_edg": 16, "only_edg": 16, "draw": 16, "zr_l": 16, "zr_l3": 16, "power_law_extrapol": 16, "window_s": 16, "extrapolation_s": 16, "fix_neg_r": 16, "flag": 16, "done": 16, "print_edges_near_energi": [16, 21], "sequenc": 16, "overrid": 16, "prettytext": 16, "represent": 16, "termin": 16, "richardson_lucy_deconvolut": [16, 21], "psf": 16, "num_work": 16, "1d": 16, "richardson": 16, "luci": 16, "kernel": 16, "spatial": [16, 20], "worker": 16, "dask": 16, "gloter": 16, "douiri": 16, "tenc": 16, "colliex": 16, "solut": 16, "ultramicroscopi": [16, 18], "septemb": 16, "2003": 16, "385": 16, "400": 16, "necessari": [16, 20, 21], "ui": 16, "spikes_diagnosi": 16, "histogram": 16, "choos": 16, "spike": 16, "get_histogram": 16, "spikes_removal_tool": 16, "graphic": 16, "luminesc": 16, "detect": 16, "introduc": 16, "artefact": 16, "mitig": 16, "interest": 16, "spikesremov": 16, "quarter": 16, "lazycomplexsignal1d": 16, "delai": [16, 21], "explicitli": 16, "request": [16, 20], "expect": 16, "instanti": 16, "da": 16, "as_lazi": 16, "lazysignal1d": 16, "burdet2013": [18, 20], "burdet": 18, "vannod": 18, "hessler": 18, "wyser": 18, "rappaz": 18, "cantoni": 18, "laser": 18, "weld": 18, "niti": 18, "stainless": 18, "steel": 18, "wire": 18, "fib": 18, "acta": 18, "materialia": 18, "2013": 18, "3090": 18, "3098": 18, "1016": 18, "actamat": 18, "069": 18, "photoelectr": 18, "mev": 18, "nist": 18, "physic": 18, "gov": 18, "ffast": 18, "egerton2011": [18, 19, 21], "1007": 18, "978": 18, "4419": 18, "9583": 18, "macarthur2016": [18, 20], "macarthur": 18, "haigh": 18, "ozkaya": 18, "nellist": 18, "lozano": 18, "perez": 18, "quantit": [18, 20], "catalyst": 18, "partial": 18, "microsc": 18, "microan": 18, "2016": 18, "1017": 18, "s1431927615015494": 18, "rossouw2015": [18, 20], "rossouw": 18, "pe\u00f1a": 18, "ducati": 18, "knappett": 18, "wheatlei": 18, "midglei": 18, "multicompon": 18, "unmix": 18, "nanoheterostructur": 18, "overcom": 18, "tradit": 18, "challeng": 18, "nanoscal": 18, "machin": 18, "nano": 18, "lett": 18, "2015": 18, "2716": 18, "2720": 18, "1021": 18, "ac": 18, "nanolett": 18, "5b00449": 18, "watanabe1996": [18, 20], "watanab": 18, "horita": 18, "nemoto": 18, "microanalysi": 18, "187": 18, "198": 18, "s0304": 18, "3991": 18, "00070": 18, "watanabe2006": [18, 20], "william": 18, "thin": [18, 20], "specimen": [18, 20], "review": 18, "221": 18, "2006": 18, "109": 18, "onlinelibrari": 18, "wilei": 18, "com": [18, 20], "1111": 18, "1365": 18, "2818": 18, "01549": 18, "williams2009": 18, "carter": 18, "textbook": 18, "scienc": 18, "york": 18, "2009": 18, "387": 18, "76501": 18, "inherit": [19, 21], "complexsign": 19, "thu": 19, "access": [19, 24], "sure": [19, 21], "properli": 19, "set_signal_typ": [19, 20, 21], "eff1": 19, "m_": 19, "hbar": 19, "int_": 19, "eff2": 19, "n_a": 19, "epsilon_0": 19, "permitt": [19, 21], "m_0": 19, "charg": 19, "naiv": 19, "2i_": 19, "a_": 19, "ln": [19, 20], "theta": 19, "characterist": 19, "chapter": [20, 21, 24], "130mb": 20, "urllib": 20, "urlretriev": 20, "urlopen": 20, "zipfil": 20, "dropbox": 20, "s7cx92mfh2zvt3x": 20, "hyperspy_demos_edx_sem_fil": 20, "raw": 20, "extractal": 20, "abl": 20, "among": 20, "rpl": 20, "bruker": 20, "export": 20, "ni_superalloy_1pix": 20, "record": [20, 24], "as_signal1d": 20, "back": 20, "ni_superalloy_010": 20, "256": 20, "224": 20, "wildcard": 20, "si4d": 20, "ni_superalloy_0": 20, "eds_tem": [20, 24], "eds_sem": [20, 24], "assign": [20, 21], "exist": 20, "These": [20, 23], "006855": 20, "eds_detector_elev": 20, "manual": [20, 21], "info": 20, "s1pixel": 20, "descript": [20, 21], "accept": 20, "sever": [20, 21], "onc": 20, "fe_la": 20, "example_sign": 20, "eds_sem_spectrum": 20, "general_properti": 20, "atomic_weight": 20, "845": 20, "iron": 20, "physical_properti": 20, "874": 20, "atomic_properti": 20, "404": [20, 21], "0568": 20, "1272": 20, "705": 20, "lb3": 20, "792": 20, "02448": 20, "615": 20, "3086": 20, "62799": 20, "12525": 20, "nearest": 20, "get_xray_lines_near_energi": 20, "maxpeakn": 20, "ca_la": 20, "b_ka": 20, "visualis": 20, "3d": 20, "label": [20, 21, 24], "1mb": 20, "ecdlgwxjq04m5mx": 20, "hyperspy_demos_eds_tem_fil": 20, "hyperspy_demos_edx_tem_fil": 20, "core_shel": 20, "hdf5": [20, 21], "plot_imag": 20, "eds_map": 20, "axes_decor": 20, "scalebar": 20, "isig": 20, "tm001": 20, "next": [20, 21, 23], "One": 20, "65241": 20, "al_kb": 20, "ar_ka": 20, "3136": 20, "ar_kb": 20, "79258": 20, "1640": 20, "cu_kb": 20, "74032": 20, "cu_lb1": 20, "cu_ln": 20, "cu_ll": 20, "cu_lb3": 20, "47796": 20, "mn_kb": 20, "73665": 20, "mn_ln": 20, "mn_ll": 20, "mn_lb3": 20, "68703": 20, "zr_lb1": 20, "zr_lb2": 20, "zr_ln": 20, "zr_lg3": 20, "zr_ll": 20, "zr_lg1": 20, "zr_lb3": 20, "background_order_6": 20, "000000": 20, "131": 20, "927922": 20, "tune": 20, "4865": 20, "9577": 20, "2774": 20, "0478": 20, "9295": 20, "0423": 20, "manufactur": 20, "convers": 20, "possibl": [20, 21], "edx_cross_section_to_zeta": 20, "zeta_to_edx_cross_sect": 20, "carri": 20, "revers": 20, "acquisit": [20, 24], "dwell": [20, 24], "accur": [20, 21], "diamet": 20, "00125": 20, "high": 20, "subsequ": 20, "much": [20, 21], "illumin": [20, 24], "becom": 20, "put": [20, 21], "still": [20, 21], "messag": 20, "remind": 20, "rather": 20, "experi": 20, "additt": 20, "At": 20, "parallel": 20, "film": 20, "basi": 20, "particularli": 20, "inhomogen": 20, "system": [20, 23], "thermo": 20, "fisher": 20, "separ": [20, 21], "4161643905127": 20, "electron_rang": 20, "xray_rang": 20, "copper": 20, "micron": 20, "9361716759499248": 20, "carbon": 20, "30kv": 20, "density_gcm3": 20, "6418811280855454": 20, "8766744984001607": 20, "discuss": 21, "parent": 21, "previou": 21, "archiv": 21, "hspy": 21, "get_edges_near_energi": 21, "identifi": 21, "arrang": 21, "849": 21, "846": 21, "852": 21, "misc": [21, 24], "532": 21, "o_k": 21, "pd_m3": 21, "sb_m5": 21, "sb_m4": 21, "la_m4": 21, "fe_l1": 21, "artificial_data": 21, "get_core_loss_eels_sign": 21, "401": 21, "relev": [21, 23, 24], "n_k": 21, "abrupt": 21, "sc_l3": 21, "402": 21, "sharp": 21, "cd_m5": 21, "sc_l2": 21, "407": 21, "mo_m2": 21, "410": 21, "mo_m3": 21, "392": 21, "cd_m4": 21, "411": 21, "inspect": 21, "identif": 21, "drag": 21, "mous": 21, "button": 21, "toggl": 21, "complementari": 21, "box": 21, "tick": 21, "outsid": 21, "aid": 21, "iakoubovskii2008": 21, "inelast": 21, "imfp": 21, "unknown": 21, "robust": 21, "easi": 21, "quasi": 21, "rudimentari": 21, "wise": 21, "certain": 21, "impact": 21, "npoint": 21, "realli": 21, "boron": [21, 24], "nitrid": 21, "onlin": 21, "hexagon": 21, "worth": 21, "life": 21, "hand": 21, "plural": 21, "b_k": 21, "conveni": 21, "6599071": 21, "pooch": 21, "gosh10": 21, "url": 21, "segger_guzzinati_kohl_1": 21, "known_hash": 21, "md5": 21, "d65d5c23142532fde0a80e160ab51574": 21, "entir": 21, "elem": 21, "045648": 21, "048061": 21, "permit": 21, "easili": 21, "manifest": 21, "distinct": 21, "few": 21, "ten": 21, "due": 21, "variat": 21, "probabl": 21, "offer": 21, "insight": 21, "bond": 21, "cannot": 21, "principl": 21, "mimic": 21, "fine_structure_act": 21, "decreas": 21, "expens": 21, "fine_structure_coeff": 21, "Its": 21, "zoom": 21, "bn": 21, "let": 21, "nitrogen": [21, 24], "set_signal_rang": 21, "160": 21, "194": 21, "command": [21, 23], "better": 21, "closer": 21, "essenti": 21, "desir": 21, "sometim": 21, "suspend": 21, "resum": 21, "replac": [21, 23], "gaussianhf": 21, "b_k_l1": 21, "201": 21, "b_k_l2": 21, "know": 21, "would": 21, "simpli": 21, "fine_structure_compon": 21, "3rd": 21, "205": 21, "fine_structure_spline_onset": 21, "plot_compon": 21, "white": 21, "rest": 21, "pip": 22, "spectrometri": 22, "tool": 22, "bibliographi": 22, "instruct": 23, "pend": 23, "meantim": 23, "bundl": 23, "standalon": 23, "program": 23, "recommend": 23, "anyth": 23, "appropri": 23, "suggest": 23, "miniforg": 23, "alreadi": 23, "prompt": 23, "complet": 23, "troubl": 23, "especi": 23, "unfamiliar": 23, "enter": 23, "anaconda": 23, "scratch": 23, "jupyterlab": 23, "lab": 23, "upgrad": 23, "notifi": 23, "watch": 23, "tree": 24, "node": 24, "leaf": 24, "quantiti": 24, "dimensionless": 24, "_unit": 24, "suffix": 24, "besid": 24, "dictionarytreebrows": 24, "set_item": 24, "has_item": 24, "get_item": 24, "repres": 24, "diagram": 24, "parenthes": 24, "detector_typ": 24, "\u00ba": 24, "magnif": 24, "rotat": 24, "mm": 24, "working_dist": 24, "apertur": 24, "dwell_tim": 24, "exposur": 24, "frame_numb": 24, "spectromet": 24, "camera_length": 24, "compos": 24, "ni_lb": 24, "aluminum": 24, "nickel": 24, "vg": 24, "501": 24, "stem": 24, "camera": 24, "tilt": 24, "se": 24, "aperture_s": 24, "entranc": 24, "frame": 24, "gatan": 24, "enfinium": 24, "er": 24, "977": 24, "azimuth": 24, "perpendicular": 24, "elev": 24, "manganes": 24, "spent": 24, "compens": 24}, "objects": {"exspy": [[11, 0, 0, "-", "components"], [12, 0, 0, "-", "data"], [14, 0, 0, "-", "material"], [15, 0, 0, "-", "models"], [16, 0, 0, "-", "signals"]], "exspy.components": [[11, 1, 1, "", "DoublePowerLaw"], [11, 1, 1, "", "EELSArctan"], [11, 1, 1, "", "EELSCLEdge"], [11, 1, 1, "", "PESVoigt"], [11, 1, 1, "", "SEE"], [11, 1, 1, "", "Vignetting"], [11, 1, 1, "", "VolumePlasmonDrude"]], "exspy.components.DoublePowerLaw": [[11, 2, 1, "", "function_nd"], [11, 3, 1, "", "left_cutoff"]], "exspy.components.EELSCLEdge": [[11, 2, 1, "", "as_dictionary"], [11, 4, 1, "", "fine_structure_smoothing"], [11, 2, 1, "", "fix_fine_structure"], [11, 2, 1, "", "free_fine_structure"], [11, 2, 1, "", "function"], [11, 2, 1, "", "get_fine_structure_as_signal1D"], [11, 2, 1, "", "gui"], [11, 2, 1, "", "set_microscope_parameters"]], "exspy.components.PESVoigt": [[11, 2, 1, "", "estimate_parameters"]], "exspy.data": [[12, 5, 1, "", "EDS_SEM_TM002"], [12, 5, 1, "", "EDS_TEM_FePt_nanoparticles"], [12, 5, 1, "", "EELS_MnFe"], [12, 5, 1, "", "EELS_low_loss"], [12, 5, 1, "", "eelsdb"]], "exspy.material": [[14, 5, 1, "", "atomic_to_weight"], [14, 5, 1, "", "density_of_mixture"], [14, 5, 1, "", "mass_absorption_coefficient"], [14, 5, 1, "", "mass_absorption_mixture"], [14, 5, 1, "", "weight_to_atomic"]], "exspy.models": [[15, 1, 1, "", "EDSModel"], [15, 1, 1, "", "EDSSEMModel"], [15, 1, 1, "", "EDSTEMModel"], [15, 1, 1, "", "EELSModel"]], "exspy.models.EDSModel": [[15, 2, 1, "", "add_family_lines"], [15, 2, 1, "", "add_polynomial_background"], [15, 2, 1, "", "as_dictionary"], [15, 2, 1, "", "calibrate_energy_axis"], [15, 2, 1, "", "calibrate_xray_lines"], [15, 2, 1, "", "disable_xray_lines"], [15, 2, 1, "", "enable_xray_lines"], [15, 2, 1, "", "fit_background"], [15, 2, 1, "", "fix_background"], [15, 2, 1, "", "fix_sub_xray_lines_weight"], [15, 2, 1, "", "fix_xray_lines_energy"], [15, 2, 1, "", "fix_xray_lines_width"], [15, 2, 1, "", "free_background"], [15, 2, 1, "", "free_sub_xray_lines_weight"], [15, 2, 1, "", "free_xray_lines_energy"], [15, 2, 1, "", "free_xray_lines_width"], [15, 2, 1, "", "get_lines_intensity"], [15, 2, 1, "", "remove"]], "exspy.models.EELSModel": [[15, 2, 1, "", "append"], [15, 2, 1, "", "disable_background"], [15, 2, 1, "", "disable_edges"], [15, 2, 1, "", "disable_fine_structure"], [15, 2, 1, "", "disable_free_onset_energy"], [15, 2, 1, "", "enable_background"], [15, 2, 1, "", "enable_edges"], [15, 2, 1, "", "enable_fine_structure"], [15, 2, 1, "", "enable_free_onset_energy"], [15, 2, 1, "", "fit"], [15, 2, 1, "", "fit_background"], [15, 2, 1, "", "fix_edges"], [15, 2, 1, "", "fix_fine_structure"], [15, 2, 1, "", "free_edges"], [15, 2, 1, "", "free_fine_structure"], [15, 2, 1, "", "quantify"], [15, 2, 1, "", "remove"], [15, 2, 1, "", "remove_fine_structure_data"], [15, 2, 1, "", "resolve_fine_structure"], [15, 2, 1, "", "resume_auto_fine_structure_width"], [15, 2, 1, "", "set_all_edges_intensities_positive"], [15, 2, 1, "", "set_convolution_axis"], [15, 4, 1, "", "signal"], [15, 2, 1, "", "smart_fit"], [15, 2, 1, "", "suspend_auto_fine_structure_width"], [15, 2, 1, "", "two_area_background_estimation"], [15, 2, 1, "", "unset_all_edges_intensities_positive"]], "exspy.signals": [[16, 1, 1, "", "DielectricFunction"], [16, 1, 1, "", "EDSSEMSpectrum"], [16, 1, 1, "", "EDSSpectrum"], [16, 1, 1, "", "EDSTEMSpectrum"], [16, 1, 1, "", "EELSSpectrum"], [16, 1, 1, "", "LazyDielectricFunction"], [16, 1, 1, "", "LazyEDSSEMSpectrum"], [16, 1, 1, "", "LazyEDSSpectrum"], [16, 1, 1, "", "LazyEDSTEMSpectrum"], [16, 1, 1, "", "LazyEELSSpectrum"]], "exspy.signals.DielectricFunction": [[16, 2, 1, "", "get_electron_energy_loss_spectrum"], [16, 2, 1, "", "get_number_of_effective_electrons"]], "exspy.signals.EDSSEMSpectrum": [[16, 2, 1, "", "create_model"], [16, 2, 1, "", "get_calibration_from"], [16, 2, 1, "", "set_microscope_parameters"]], "exspy.signals.EDSSpectrum": [[16, 2, 1, "", "add_elements"], [16, 2, 1, "", "add_lines"], [16, 2, 1, "", "add_xray_lines_markers"], [16, 2, 1, "", "estimate_background_windows"], [16, 2, 1, "", "estimate_integration_windows"], [16, 2, 1, "", "get_lines_intensity"], [16, 2, 1, "", "get_take_off_angle"], [16, 2, 1, "", "plot"], [16, 2, 1, "", "rebin"], [16, 2, 1, "", "remove_xray_lines_markers"], [16, 2, 1, "", "set_elements"], [16, 2, 1, "", "set_lines"], [16, 2, 1, "", "sum"]], "exspy.signals.EDSTEMSpectrum": [[16, 2, 1, "", "CL_get_mass_thickness"], [16, 2, 1, "", "create_model"], [16, 2, 1, "", "decomposition"], [16, 2, 1, "", "get_calibration_from"], [16, 2, 1, "", "get_probe_area"], [16, 2, 1, "", "quantification"], [16, 2, 1, "", "set_microscope_parameters"], [16, 2, 1, "", "vacuum_mask"]], "exspy.signals.EELSSpectrum": [[16, 2, 1, "", "add_elements"], [16, 2, 1, "", "align_zero_loss_peak"], [16, 2, 1, "", "create_model"], [16, 2, 1, "", "edges_at_energy"], [16, 2, 1, "", "estimate_elastic_scattering_intensity"], [16, 2, 1, "", "estimate_elastic_scattering_threshold"], [16, 2, 1, "", "estimate_thickness"], [16, 2, 1, "", "estimate_zero_loss_peak_centre"], [16, 2, 1, "", "fourier_log_deconvolution"], [16, 2, 1, "", "fourier_ratio_deconvolution"], [16, 2, 1, "", "generate_subshells"], [16, 2, 1, "", "get_zero_loss_peak_mask"], [16, 2, 1, "", "kramers_kronig_analysis"], [16, 2, 1, "", "plot"], [16, 2, 1, "", "power_law_extrapolation"], [16, 2, 1, "", "print_edges_near_energy"], [16, 2, 1, "", "rebin"], [16, 2, 1, "", "richardson_lucy_deconvolution"], [16, 2, 1, "", "set_microscope_parameters"], [16, 2, 1, "", "spikes_diagnosis"], [16, 2, 1, "", "spikes_removal_tool"], [16, 2, 1, "", "vacuum_mask"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:attribute", "4": "py:property", "5": "py:function"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "attribute", "Python attribute"], "4": ["py", "property", "Python property"], "5": ["py", "function", "Python function"]}, "titleterms": {"galleri": 0, "exampl": 0, "model": [0, 2, 15, 21], "fit": [0, 1, 2, 5, 20, 21], "eel": [1, 21, 24], "curv": [1, 20, 21], "plot": [3, 20], "residu": 3, "comput": [4, 6, 17, 19], "time": [4, 6, 17], "simpl": 5, "arctan": 5, "changelog": 7, "unreleas": 7, "2024": 7, "04": 7, "09": 7, "bug": 7, "fix": 7, "improv": 7, "document": [7, 8, 9, 10], "mainten": 7, "0": 7, "1": [7, 23], "2023": 7, "12": 7, "03": 7, "new": [7, 8, 23], "featur": 7, "enhanc": 7, "initi": 7, "10": 7, "28": 7, "contribut": 8, "issu": 8, "pull": 8, "request": 8, "review": 8, "code": 8, "style": 8, "write": 8, "test": 8, "releas": 8, "version": 8, "welcom": [9, 10], "exspi": [9, 10, 11, 12, 14, 15, 16, 24], "learn": [9, 10], "resourc": [9, 10], "cite": [9, 10], "citat": [9, 10], "scientif": [9, 10], "literatur": [9, 10], "licens": [9, 10], "compon": 11, "data": [12, 20, 21], "refer": 13, "materi": 14, "signal": [16, 19, 24], "bibliographi": 18, "dielectr": 19, "function": 19, "tool": [19, 21], "number": 19, "effect": 19, "electron": [19, 20, 21], "energi": [19, 20, 21], "loss": [19, 21], "dispers": 20, "x": 20, "rai": 20, "spectrometri": 20, "ed": [20, 24], "spectrum": 20, "load": 20, "paramet": 20, "microscop": 20, "detector": [20, 24], "axi": 20, "copi": 20, "calibr": 20, "describ": 20, "sampl": [20, 21, 24], "element": [20, 21], "line": 20, "databas": 20, "find": 20, "from": 20, "get": [20, 23], "intens": [20, 21], "an": 20, "background": 20, "subtract": 20, "quantif": 20, "absorpt": 20, "correct": 20, "util": 20, "mass": 20, "coeffici": 20, "rang": 20, "spectroscopi": 21, "analysi": 21, "composit": 21, "thick": 21, "estim": 21, "zero": 21, "peak": 21, "centr": 21, "align": 21, "deconvolut": 21, "elast": 21, "scatter": 21, "kramer": 21, "kronig": 21, "creat": [21, 23], "generalis": 21, "oscil": 21, "strength": 21, "fine": 21, "structur": [21, 24], "user": 22, "guid": 22, "instal": 23, "us": 23, "conda": 23, "environ": 23, "2": 23, "packag": 23, "3": 23, "start": 23, "pip": 23, "updat": 23, "metadata": 24, "gener": 24, "acquisition_instru": 24, "tem": 24, "sem": 24, "stage": 24}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx": 60}, "alltitles": {"Gallery of Examples": [[0, "gallery-of-examples"]], "Model fitting": [[0, "model-fitting"], [2, "model-fitting"]], "EELS curve fitting": [[1, "eels-curve-fitting"], [21, "eels-curve-fitting"]], "Plot Residual": [[3, "plot-residual"]], "Computation times": [[4, "computation-times"], [6, "computation-times"], [17, "computation-times"]], "Simple arctan fit": [[5, "simple-arctan-fit"]], "Changelog": [[7, "changelog"]], " [UNRELEASED] (2024-04-09)": [[7, "release-unreleased-2024-04-09"]], "Bug Fixes": [[7, "bug-fixes"]], "Improved Documentation": [[7, "improved-documentation"]], "Maintenance": [[7, "maintenance"], [7, "id7"]], "0.1 (2023-12-03)": [[7, "id5"]], "New features": [[7, "new-features"]], "Enhancements": [[7, "enhancements"]], "Initiation (2023-10-28)": [[7, "initiation-2023-10-28"]], "Contributing": [[8, "contributing"]], "Issues": [[8, "issues"]], "Pull Requests": [[8, "pull-requests"]], "Reviewing": [[8, "reviewing"]], "Documentation": [[8, "documentation"]], "Code style": [[8, "code-style"]], "Writing tests": [[8, "writing-tests"]], "Releasing a new version": [[8, "releasing-a-new-version"]], "Welcome to the documentation of eXSpy!": [[9, "welcome-to-the-documentation-of-exspy"], [10, "welcome-to-the-documentation-of-exspy"]], "Learning resources": [[9, "learning-resources"], [10, "learning-resources"]], "Citing eXSpy": [[9, "citing-exspy"], [10, "citing-exspy"]], "Citation in the scientific literature": [[9, "citation-in-the-scientific-literature"], [10, "citation-in-the-scientific-literature"]], "License": [[9, "license"], [10, "license"]], "exspy.components": [[11, "exspy-components"]], "exspy.data": [[12, "exspy-data"]], "Reference": [[13, "reference"], [13, null]], "exspy.material": [[14, "exspy-material"]], "exspy.models": [[15, "exspy-models"]], "exspy.signals": [[16, "exspy-signals"]], "Bibliography": [[18, "bibliography"]], "Dielectric function tools": [[19, "dielectric-function-tools"]], "Number of effective electrons": [[19, "number-of-effective-electrons"]], "Compute the electron energy-loss signal": [[19, "compute-the-electron-energy-loss-signal"]], "Energy-Dispersive X-ray Spectrometry (EDS)": [[20, "energy-dispersive-x-ray-spectrometry-eds"]], "Spectrum loading and parameters": [[20, "spectrum-loading-and-parameters"]], "Loading data": [[20, "loading-data"]], "Microscope and detector parameters": [[20, "microscope-and-detector-parameters"]], "Energy axis": [[20, "energy-axis"]], "Copying spectrum calibration": [[20, "copying-spectrum-calibration"]], "Describing the sample": [[20, "describing-the-sample"]], "Elements": [[20, "elements"]], "X-ray lines": [[20, "x-ray-lines"]], "Elemental database": [[20, "elemental-database"]], "Finding elements from energy": [[20, "finding-elements-from-energy"]], "Plotting": [[20, "plotting"]], "Plotting X-ray lines": [[20, "plotting-x-ray-lines"]], "Getting the intensity of an X-ray line": [[20, "getting-the-intensity-of-an-x-ray-line"]], "Background subtraction": [[20, "background-subtraction"]], "EDS curve fitting": [[20, "eds-curve-fitting"]], "EDS Quantification": [[20, "eds-quantification"]], "Absorption Correction": [[20, "absorption-correction"]], "Utils": [[20, "utils"]], "Mass absorption coefficient database": [[20, "mass-absorption-coefficient-database"]], "Electron and X-ray range": [[20, "electron-and-x-ray-range"]], "Electron Energy Loss Spectroscopy": [[21, "electron-energy-loss-spectroscopy"]], "Tools for EELS data analysis": [[21, "tools-for-eels-data-analysis"]], "Elemental composition of the sample": [[21, "elemental-composition-of-the-sample"]], "Thickness estimation": [[21, "thickness-estimation"]], "Zero-loss peak centre and alignment": [[21, "zero-loss-peak-centre-and-alignment"]], "Deconvolutions": [[21, "deconvolutions"]], "Estimate elastic scattering intensity": [[21, "estimate-elastic-scattering-intensity"]], "Kramers-Kronig Analysis": [[21, "kramers-kronig-analysis"]], "Creating model": [[21, "creating-model"]], "Generalised Oscillator Strengths": [[21, "generalised-oscillator-strengths"]], "Fitting model": [[21, "fitting-model"]], "Fine structure analysis": [[21, "fine-structure-analysis"], [21, "id1"]], "User Guide": [[22, "user-guide"]], "Installation": [[23, "installation"]], "Installation using conda": [[23, "installation-using-conda"]], "1. Creating a conda environment": [[23, "creating-a-conda-environment"]], "2. Installing the package in the new environment": [[23, "installing-the-package-in-the-new-environment"]], "3. Getting Started": [[23, "getting-started"]], "Installation using pip": [[23, "installation-using-pip"]], "Updating the package": [[23, "updating-the-package"]], "eXSpy Metadata Structure": [[24, "exspy-metadata-structure"]], "General": [[24, "general"]], "Sample": [[24, "sample"]], "Signal": [[24, "signal"]], "Acquisition_instrument": [[24, "acquisition-instrument"]], "TEM": [[24, "tem"]], "SEM": [[24, "sem"]], "Stage": [[24, "stage"]], "Detector": [[24, "detector"]], "EELS": [[24, "eels"]], "EDS": [[24, "eds"]]}, "indexentries": {"doublepowerlaw (class in exspy.components)": [[11, "exspy.components.DoublePowerLaw"]], "eelsarctan (class in exspy.components)": [[11, "exspy.components.EELSArctan"]], "eelscledge (class in exspy.components)": [[11, "exspy.components.EELSCLEdge"]], "pesvoigt (class in exspy.components)": [[11, "exspy.components.PESVoigt"]], "see (class in exspy.components)": [[11, "exspy.components.SEE"]], "vignetting (class in exspy.components)": [[11, "exspy.components.Vignetting"]], "volumeplasmondrude (class in exspy.components)": [[11, "exspy.components.VolumePlasmonDrude"]], "as_dictionary() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.as_dictionary"]], "estimate_parameters() (exspy.components.pesvoigt method)": [[11, "exspy.components.PESVoigt.estimate_parameters"]], "exspy.components": [[11, "module-exspy.components"]], "fine_structure_smoothing (exspy.components.eelscledge property)": [[11, "exspy.components.EELSCLEdge.fine_structure_smoothing"]], "fix_fine_structure() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.fix_fine_structure"]], "free_fine_structure() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.free_fine_structure"]], "function() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.function"]], "function_nd() (exspy.components.doublepowerlaw method)": [[11, "exspy.components.DoublePowerLaw.function_nd"]], "get_fine_structure_as_signal1d() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.get_fine_structure_as_signal1D"]], "gui() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.gui"]], "left_cutoff (exspy.components.doublepowerlaw attribute)": [[11, "exspy.components.DoublePowerLaw.left_cutoff"]], "module": [[11, "module-exspy.components"], [12, "module-exspy.data"], [14, "module-exspy.material"], [15, "module-exspy.models"], [16, "module-exspy.signals"]], "set_microscope_parameters() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.set_microscope_parameters"]], "eds_sem_tm002() (in module exspy.data)": [[12, "exspy.data.EDS_SEM_TM002"]], "eds_tem_fept_nanoparticles() (in module exspy.data)": [[12, "exspy.data.EDS_TEM_FePt_nanoparticles"]], "eels_mnfe() (in module exspy.data)": [[12, "exspy.data.EELS_MnFe"]], "eels_low_loss() (in module exspy.data)": [[12, "exspy.data.EELS_low_loss"]], "eelsdb() (in module exspy.data)": [[12, "exspy.data.eelsdb"]], "exspy.data": [[12, "module-exspy.data"]], "atomic_to_weight() (in module exspy.material)": [[14, "exspy.material.atomic_to_weight"]], "density_of_mixture() (in module exspy.material)": [[14, "exspy.material.density_of_mixture"]], "exspy.material": [[14, "module-exspy.material"]], "mass_absorption_coefficient() (in module exspy.material)": [[14, "exspy.material.mass_absorption_coefficient"]], "mass_absorption_mixture() (in module exspy.material)": [[14, "exspy.material.mass_absorption_mixture"]], "weight_to_atomic() (in module exspy.material)": [[14, "exspy.material.weight_to_atomic"]], "edsmodel (class in exspy.models)": [[15, "exspy.models.EDSModel"]], "edssemmodel (class in exspy.models)": [[15, "exspy.models.EDSSEMModel"]], "edstemmodel (class in exspy.models)": [[15, "exspy.models.EDSTEMModel"]], "eelsmodel (class in exspy.models)": [[15, "exspy.models.EELSModel"]], "add_family_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.add_family_lines"]], "add_polynomial_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.add_polynomial_background"]], "append() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.append"]], "as_dictionary() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.as_dictionary"]], "calibrate_energy_axis() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.calibrate_energy_axis"]], "calibrate_xray_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.calibrate_xray_lines"]], "disable_background() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_background"]], "disable_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_edges"]], "disable_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_fine_structure"]], "disable_free_onset_energy() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_free_onset_energy"]], "disable_xray_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.disable_xray_lines"]], "enable_background() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_background"]], "enable_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_edges"]], "enable_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_fine_structure"]], "enable_free_onset_energy() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_free_onset_energy"]], "enable_xray_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.enable_xray_lines"]], "exspy.models": [[15, "module-exspy.models"]], "fit() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fit"]], "fit_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fit_background"]], "fit_background() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fit_background"]], "fix_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_background"]], "fix_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fix_edges"]], "fix_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fix_fine_structure"]], "fix_sub_xray_lines_weight() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_sub_xray_lines_weight"]], "fix_xray_lines_energy() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_xray_lines_energy"]], "fix_xray_lines_width() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_xray_lines_width"]], "free_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_background"]], "free_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.free_edges"]], "free_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.free_fine_structure"]], "free_sub_xray_lines_weight() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_sub_xray_lines_weight"]], "free_xray_lines_energy() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_xray_lines_energy"]], "free_xray_lines_width() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_xray_lines_width"]], "get_lines_intensity() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.get_lines_intensity"]], "quantify() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.quantify"]], "remove() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.remove"]], "remove() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.remove"]], "remove_fine_structure_data() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.remove_fine_structure_data"]], "resolve_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.resolve_fine_structure"]], "resume_auto_fine_structure_width() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.resume_auto_fine_structure_width"]], "set_all_edges_intensities_positive() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.set_all_edges_intensities_positive"]], "set_convolution_axis() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.set_convolution_axis"]], "signal (exspy.models.eelsmodel property)": [[15, "exspy.models.EELSModel.signal"]], "smart_fit() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.smart_fit"]], "suspend_auto_fine_structure_width() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.suspend_auto_fine_structure_width"]], "two_area_background_estimation() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.two_area_background_estimation"]], "unset_all_edges_intensities_positive() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.unset_all_edges_intensities_positive"]], "cl_get_mass_thickness() (exspy.signals.edstemspectrum static method)": [[16, "exspy.signals.EDSTEMSpectrum.CL_get_mass_thickness"]], "dielectricfunction (class in exspy.signals)": [[16, "exspy.signals.DielectricFunction"]], "edssemspectrum (class in exspy.signals)": [[16, "exspy.signals.EDSSEMSpectrum"]], "edsspectrum (class in exspy.signals)": [[16, "exspy.signals.EDSSpectrum"]], "edstemspectrum (class in exspy.signals)": [[16, "exspy.signals.EDSTEMSpectrum"]], "eelsspectrum (class in exspy.signals)": [[16, "exspy.signals.EELSSpectrum"]], "lazydielectricfunction (class in exspy.signals)": [[16, "exspy.signals.LazyDielectricFunction"]], "lazyedssemspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEDSSEMSpectrum"]], "lazyedsspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEDSSpectrum"]], "lazyedstemspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEDSTEMSpectrum"]], "lazyeelsspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEELSSpectrum"]], "add_elements() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.add_elements"]], "add_elements() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.add_elements"]], "add_lines() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.add_lines"]], "add_xray_lines_markers() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.add_xray_lines_markers"]], "align_zero_loss_peak() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.align_zero_loss_peak"]], "create_model() (exspy.signals.edssemspectrum method)": [[16, "exspy.signals.EDSSEMSpectrum.create_model"]], "create_model() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.create_model"]], "create_model() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.create_model"]], "decomposition() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.decomposition"]], "edges_at_energy() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.edges_at_energy"]], "estimate_background_windows() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.estimate_background_windows"]], "estimate_elastic_scattering_intensity() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_elastic_scattering_intensity"]], "estimate_elastic_scattering_threshold() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_elastic_scattering_threshold"]], "estimate_integration_windows() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.estimate_integration_windows"]], "estimate_thickness() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_thickness"]], "estimate_zero_loss_peak_centre() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_zero_loss_peak_centre"]], "exspy.signals": [[16, "module-exspy.signals"]], "fourier_log_deconvolution() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.fourier_log_deconvolution"]], "fourier_ratio_deconvolution() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.fourier_ratio_deconvolution"]], "generate_subshells() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.generate_subshells"]], "get_calibration_from() (exspy.signals.edssemspectrum method)": [[16, "exspy.signals.EDSSEMSpectrum.get_calibration_from"]], "get_calibration_from() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.get_calibration_from"]], "get_electron_energy_loss_spectrum() (exspy.signals.dielectricfunction method)": [[16, "exspy.signals.DielectricFunction.get_electron_energy_loss_spectrum"]], "get_lines_intensity() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.get_lines_intensity"]], "get_number_of_effective_electrons() (exspy.signals.dielectricfunction method)": [[16, "exspy.signals.DielectricFunction.get_number_of_effective_electrons"]], "get_probe_area() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.get_probe_area"]], "get_take_off_angle() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.get_take_off_angle"]], "get_zero_loss_peak_mask() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.get_zero_loss_peak_mask"]], "kramers_kronig_analysis() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.kramers_kronig_analysis"]], "plot() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.plot"]], "plot() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.plot"]], "power_law_extrapolation() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.power_law_extrapolation"]], "print_edges_near_energy() (exspy.signals.eelsspectrum static method)": [[16, "exspy.signals.EELSSpectrum.print_edges_near_energy"]], "quantification() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.quantification"]], "rebin() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.rebin"]], "rebin() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.rebin"]], "remove_xray_lines_markers() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.remove_xray_lines_markers"]], "richardson_lucy_deconvolution() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.richardson_lucy_deconvolution"]], "set_elements() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.set_elements"]], "set_lines() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.set_lines"]], "set_microscope_parameters() (exspy.signals.edssemspectrum method)": [[16, "exspy.signals.EDSSEMSpectrum.set_microscope_parameters"]], "set_microscope_parameters() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.set_microscope_parameters"]], "set_microscope_parameters() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.set_microscope_parameters"]], "spikes_diagnosis() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.spikes_diagnosis"]], "spikes_removal_tool() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.spikes_removal_tool"]], "sum() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.sum"]], "vacuum_mask() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.vacuum_mask"]], "vacuum_mask() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.vacuum_mask"]]}})
\ No newline at end of file
+Search.setIndex({"docnames": ["auto_examples/index", "auto_examples/model_fitting/EELS_curve_fitting", "auto_examples/model_fitting/index", "auto_examples/model_fitting/plot_residual", "auto_examples/model_fitting/sg_execution_times", "auto_examples/model_fitting/simple_arctan_fit", "auto_examples/sg_execution_times", "changes", "contributing", "index", "intro", "reference/components", "reference/data", "reference/index", "reference/material", "reference/models", "reference/signals", "sg_execution_times", "user_guide/bibliography", "user_guide/dielectric_function", "user_guide/eds", "user_guide/eels", "user_guide/index", "user_guide/install", "user_guide/metadata_structure"], "filenames": ["auto_examples/index.rst", "auto_examples/model_fitting/EELS_curve_fitting.rst", "auto_examples/model_fitting/index.rst", "auto_examples/model_fitting/plot_residual.rst", "auto_examples/model_fitting/sg_execution_times.rst", "auto_examples/model_fitting/simple_arctan_fit.rst", "auto_examples/sg_execution_times.rst", "changes.rst", "contributing.rst", "index.rst", "intro.rst", "reference/components.rst", "reference/data.rst", "reference/index.rst", "reference/material.rst", "reference/models.rst", "reference/signals.rst", "sg_execution_times.rst", "user_guide/bibliography.rst", "user_guide/dielectric_function.rst", "user_guide/eds.rst", "user_guide/eels.rst", "user_guide/index.rst", "user_guide/install.rst", "user_guide/metadata_structure.rst"], "titles": ["Gallery of Examples", "EELS curve fitting", "Model fitting", "Plot Residual", "Computation times", "Simple arctan fit", "Computation times", "Changelog", "Contributing", "Welcome to the documentation of eXSpy!", "Welcome to the documentation of eXSpy!", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.components</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.data</span></code>", "Reference", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.material</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.models</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">exspy.signals</span></code>", "Computation times", "Bibliography", "Dielectric function tools", "Energy-Dispersive X-ray Spectrometry (EDS)", "Electron Energy Loss Spectroscopy", "User Guide", "Installation", "eXSpy Metadata Structure"], "terms": {"below": [0, 2, 9, 10, 11, 16, 21, 23], "i": [0, 2, 7, 8, 9, 10, 11, 12, 14, 15, 16, 19, 20, 21, 23, 24], "plot": [0, 1, 2, 4, 5, 12, 15, 16, 17, 21, 22], "residu": [0, 2, 4, 17], "eel": [0, 2, 4, 7, 9, 10, 11, 12, 15, 16, 17, 22], "curv": [0, 2, 4, 17, 22], "simpl": [0, 2, 4, 9, 10, 17], "arctan": [0, 2, 4, 11, 17], "download": [0, 1, 3, 5, 7, 12, 20, 21], "all": [0, 3, 8, 11, 12, 15, 16, 17, 20, 21, 23, 24], "python": [0, 1, 3, 5, 7, 8, 9, 10, 23], "sourc": [0, 1, 3, 5, 8, 9, 10, 20], "code": [0, 1, 3, 5, 7, 16, 20], "auto_examples_python": 0, "zip": [0, 20], "jupyt": [0, 1, 3, 5, 8, 9, 10, 16, 23], "notebook": [0, 1, 3, 5, 8, 9, 10, 16, 23], "auto_examples_jupyt": 0, "gener": [0, 1, 3, 5, 8, 9, 10, 12, 15, 16, 21, 22], "sphinx": [0, 1, 3, 5, 8], "go": [1, 3, 5, 7, 11, 15, 16, 21], "end": [1, 3, 5, 11, 16], "full": [1, 3, 5, 11, 16, 24], "exampl": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15, 16, 17, 20, 21], "perform": [1, 9, 10, 15, 16, 21], "an": [1, 3, 5, 9, 10, 11, 12, 14, 15, 16, 21, 22, 23, 24], "spectrum": [1, 5, 11, 12, 15, 16, 19, 21, 22, 24], "result": [1, 5, 8, 12, 15, 16, 20, 21], "save": [1, 11, 15, 21], "png": 1, "file": [1, 3, 4, 6, 7, 15, 16, 17, 20, 21], "0": [1, 3, 4, 5, 6, 11, 15, 16, 17, 18, 19, 20, 21], "00": [1, 3, 4, 6, 16, 17], "42": [1, 20], "3m": 1, "b": [1, 3, 11, 16, 18, 20, 21, 24], "": [1, 3, 5, 11, 12, 14, 15, 16, 18, 19, 20, 21, 24], "18": 1, "4k": 1, "04": [1, 20], "23": 1, "161kb": 1, "57": [1, 16, 20], "3k": 1, "02": 1, "38": [1, 7, 20], "267kb": 1, "137k": 1, "01": [1, 11, 15, 16, 18, 20], "30": [1, 16, 20, 21], "467kb": 1, "1": [1, 5, 11, 12, 14, 15, 16, 18, 19, 20, 21], "296k": 1, "50": [1, 14, 20], "836kb": 1, "614k": 1, "26": [1, 20], "55mb": 1, "3": [1, 3, 4, 7, 9, 10, 11, 12, 15, 16, 17, 18, 20, 21], "25m": 1, "13": [1, 7, 20], "2": [1, 3, 11, 14, 15, 16, 19, 20, 21, 24], "94mb": 1, "6": [1, 12, 14, 15, 16, 20, 21], "53m": 1, "07": 1, "5": [1, 11, 12, 16, 20, 21], "66mb": 1, "12": [1, 14], "05m": 1, "03": 1, "10": [1, 3, 11, 12, 14, 15, 16, 18, 20, 21], "9mb": 1, "19": [1, 11], "8": [1, 14, 16, 18, 20], "13m": 1, "16": 1, "0mb": 1, "11": [1, 3, 14], "1m": 1, "2mb": 1, "33": [1, 7], "9m": 1, "20": [1, 11, 16, 21], "39": 1, "7m": 1, "22": [1, 7, 18], "46": 1, "6m": 1, "53": 1, "24": 1, "1mb": [1, 20], "60": [1, 16], "25": 1, "5m": 1, "7mb": 1, "67": 1, "28": 1, "74": 1, "31": 1, "81": [1, 18], "34": 1, "4m": 1, "88": [1, 14, 20], "37": [1, 16, 20], "95": [1, 20], "40": [1, 21], "4mb": 1, "100": [1, 3, 14, 15, 16, 20], "195gb": 1, "import": [1, 3, 5, 8, 12, 16, 20, 21], "hyperspi": [1, 3, 5, 7, 8, 9, 10, 11, 16, 19, 20, 21, 23, 24], "api": [1, 3, 5, 7, 8, 9, 10, 16, 19, 20, 21], "h": [1, 3, 5, 11, 14, 15, 16, 20, 21], "load": [1, 12, 21, 22, 23], "coreloss_spectrum": 1, "msa": [1, 20], "signal_typ": [1, 20, 24], "ll": [1, 8, 15, 16, 20, 21], "lowloss_spectrum": 1, "add_el": [1, 15, 16, 20, 21], "mn": [1, 12, 16, 20, 24], "o": [1, 8, 16, 21], "set_microscope_paramet": [1, 11, 16, 20, 21], "beam_energi": [1, 16, 20, 21, 24], "300": [1, 21], "convergence_angl": [1, 16, 21, 24], "collection_angl": [1, 16, 21, 24], "m": [1, 3, 5, 15, 16, 18, 20, 21], "create_model": [1, 3, 5, 15, 16, 20, 21], "low_loss": [1, 12, 15, 16], "enable_fine_structur": [1, 15, 21], "multifit": [1, 3, 15, 21], "kind": [1, 15, 21], "smart": [1, 15, 21], "total": [1, 3, 4, 5, 6, 14, 16, 17], "run": [1, 3, 5, 16, 20, 23], "time": [1, 3, 5, 7, 15, 16, 20, 24], "script": [1, 3, 5], "minut": [1, 3, 5], "262": [1, 4, 17], "second": [1, 3, 5, 11, 16, 18, 20, 24], "eels_curve_fit": [1, 4, 17], "ipynb": [1, 3, 5], "py": [1, 3, 4, 5, 17], "galleri": [1, 2, 3, 5, 9, 10, 17], "fit": [3, 4, 7, 9, 10, 11, 15, 16, 17, 22], "affin": 3, "function": [3, 5, 7, 8, 9, 10, 11, 15, 16, 20, 21, 22], "numpi": [3, 5, 7, 8, 11, 16, 20], "np": [3, 5, 11, 15, 16], "creat": [3, 5, 15, 16, 20], "signal": [3, 5, 11, 12, 13, 14, 15, 18, 20, 21, 22], "data": [3, 5, 9, 10, 11, 13, 15, 16, 18, 22, 24], "arang": [3, 5, 11, 16], "1000": [3, 16], "dtype": [3, 16], "int64": 3, "reshap": [3, 11], "signal1d": [3, 5, 11, 15, 16, 20, 21], "add": [3, 5, 7, 12, 15, 16, 20, 21, 24], "nois": [3, 12, 16, 21], "add_poissonian_nois": [3, 16], "random_st": [3, 12], "model": [3, 5, 7, 11, 13, 16, 20, 24], "line": [3, 8, 11, 14, 15, 16, 21, 22, 24], "components1d": [3, 5, 7, 11, 15, 21], "express": [3, 11], "x": [3, 5, 7, 9, 10, 11, 12, 14, 15, 16, 18, 22, 24], "name": [3, 5, 9, 10, 11, 14, 15, 16, 20, 21], "append": [3, 5, 15], "navig": [3, 11, 12, 16, 20], "posit": [3, 11, 15, 16, 20, 21, 24], "except": [3, 15, 16, 20, 21], "ignor": [3, 15, 16], "tqdm": 3, "__del__": 3, "0x7f338d3b99e0": 3, "traceback": [3, 8], "most": [3, 16, 20, 21], "recent": 3, "call": [3, 8, 15, 16, 20, 21], "last": [3, 16], "opt": 3, "hostedtoolcach": 3, "9": [3, 16, 20, 21], "x64": 3, "lib": 3, "python3": 3, "site": 3, "packag": [3, 7, 8, 9, 10, 22], "std": [3, 5, 15, 16], "1148": 3, "self": [3, 15, 16], "close": [3, 11, 16], "279": 3, "disp": 3, "bar_styl": 3, "danger": 3, "check_delai": 3, "fals": [3, 5, 11, 12, 15, 16], "attributeerror": [3, 16], "tqdm_notebook": 3, "object": [3, 11, 15, 16, 20, 24], "ha": [3, 9, 10, 15, 16, 21, 24], "attribut": [3, 11, 15, 16, 20, 21, 24], "1454": 3, "54it": 3, "plot_residu": [3, 4, 17], "true": [3, 5, 7, 11, 12, 15, 16, 20, 21], "sphinx_gallery_thumbnail_numb": 3, "562": [3, 4, 17], "09": [4, 17], "148": [4, 17], "execut": [4, 6, 15, 17, 21], "from": [4, 6, 7, 11, 12, 14, 15, 16, 17, 18, 19, 21, 23, 24], "auto_exampl": [4, 6], "model_fit": [4, 17], "mem": [4, 6, 17], "mb": [4, 6, 17], "08": [4, 17], "simple_arctan_fit": [4, 5, 17], "323": [4, 5, 17], "model1d": [5, 15], "currentcomponentvalu": 5, "activ": [5, 15, 21, 23], "paramet": [5, 9, 10, 11, 12, 14, 15, 16, 21, 22, 24], "free": [5, 9, 10, 11, 15, 16, 21], "valu": [5, 8, 11, 12, 15, 16, 20, 21, 24], "min": [5, 12, 16], "max": [5, 12, 16], "linear": [5, 11, 16], "A": [5, 6, 11, 12, 14, 15, 16, 18, 20, 21, 24], "00025977": 5, "00213855": 5, "none": [5, 11, 12, 15, 16], "k": [5, 11, 12, 14, 18, 20, 21, 24], "97361073": 5, "08147353": 5, "x0": [5, 11], "05768355": 5, "08070912": 5, "make": [5, 8, 19, 21], "500": 5, "axes_manag": [5, 11, 16, 20], "offset": [5, 11, 12, 15, 16, 20], "unit": [5, 16, 19, 20, 24], "metadata": [5, 7, 9, 10, 14, 15, 16, 20, 21, 22], "titl": [5, 12, 16, 20, 21], "set_signal_origin": 5, "simul": [5, 12, 15, 16, 21], "add_gaussian_nois": 5, "compon": [5, 7, 13, 14, 15, 16, 20, 21], "us": [5, 7, 8, 9, 10, 11, 12, 14, 15, 16, 18, 19, 20, 21, 22, 24], "arctan_compon": 5, "print": [5, 15, 16, 21], "print_current_valu": [5, 20], "000": 6, "n": [6, 16, 21, 23, 24], "entri": 7, "develop": [7, 8, 23], "version": [7, 9, 10, 14, 21, 23], "ar": [7, 8, 9, 10, 11, 12, 15, 16, 19, 20, 21, 23, 24], "avail": [7, 11, 15, 16, 20, 21], "http": [7, 11, 14, 18, 20], "exspi": [7, 8, 13, 20, 21, 22, 23], "readthedoc": [7, 11], "io": [7, 11], "en": [7, 14], "latest": 7, "chang": [7, 8, 15, 16, 18, 20, 21], "html": [7, 11, 16], "restor": [7, 16], "gosh": [7, 11, 15, 16, 21], "hartre": [7, 15, 16, 21], "slater": [7, 15, 16, 18, 21], "store": [7, 11, 15, 16, 20, 21, 24], "32": [7, 11, 16], "logo": 7, "adapt": [7, 11], "spell": 7, "capit": [7, 24], "doi": [7, 9, 10, 11, 14, 15, 16, 18, 21], "more": [7, 8, 9, 10, 11, 12, 15, 16, 20, 21, 23], "badg": [7, 9, 10], "readm": 7, "ruff": 7, "lint": 7, "format": [7, 16, 20, 21], "remov": [7, 15, 16, 21], "redund": 7, "github": [7, 8, 23], "workflow": [7, 8], "favour": 7, "pre": [7, 16], "commit": 7, "27": 7, "deprec": 7, "scipi": [7, 11, 15, 16], "warn": [7, 16, 20], "support": [7, 11, 15, 16, 21], "tabul": [7, 18, 21], "generalis": 7, "oscil": 7, "strength": 7, "open": [7, 9, 10, 16, 23], "By": [7, 16, 20, 21, 24], "default": [7, 11, 12, 15, 16, 20, 21, 24], "freeli": [7, 21], "usabl": [7, 21], "dataset": [7, 11, 16, 20, 21], "5281": [7, 15, 16, 21], "zenodo": [7, 15, 16, 21], "7645765": [7, 15, 16, 21], "3082": 7, "fine": [7, 11, 15, 20], "structur": [7, 8, 11, 15, 16, 20, 22], "e": [7, 9, 10, 11, 14, 16, 18, 19, 20, 21, 24], "g": [7, 9, 10, 11, 14, 16, 20, 21, 24], "gaussian": [7, 11, 15, 16, 20, 21], "3206": 7, "enabl": [7, 15, 16, 20, 21], "signal_rang": [7, 16, 21], "argument": [7, 11, 15, 16, 20, 21], "when": [7, 8, 16, 20, 21, 24], "subpixel": [7, 16, 21], "align_zero_loss_peak": [7, 16, 21], "7": [7, 20, 21], "towncrier": 7, "manag": 7, "releas": [7, 23], "note": [7, 11, 12, 15, 16, 19, 20, 21, 24], "set": [7, 11, 12, 15, 16, 19, 20, 21], "dev": 7, "14": 7, "reusabl": 7, "organis": 7, "doc": [7, 8], "consolid": 7, "pyproject": 7, "toml": 7, "4": [7, 11, 12, 15, 16, 18, 20, 21], "setuptools_scm": 7, "holospi": 7, "build": [7, 15], "test": [7, 11, 16, 20], "wa": [7, 11, 20], "split": [7, 11], "out": [7, 8, 9, 10, 16, 20, 21], "repositori": [7, 8, 23], "oct": 7, "The": [7, 8, 9, 10, 11, 12, 14, 15, 16, 18, 19, 20, 21, 24], "rai": [7, 9, 10, 14, 15, 16, 18, 22, 24], "energi": [7, 9, 10, 11, 12, 14, 15, 16, 18, 22, 24], "dispers": [7, 9, 10, 16, 18, 22, 24], "spectroscopi": [7, 9, 10, 11, 16, 18, 22, 24], "ed": [7, 9, 10, 12, 15, 16, 18, 22], "electron": [7, 9, 10, 11, 12, 16, 18, 22, 24], "loss": [7, 9, 10, 11, 12, 15, 16, 18, 22, 24], "so": [7, 16, 20, 21], "far": [7, 21], "were": 7, "move": 7, "meant": 8, "commun": [8, 9, 10], "maintain": [8, 9, 10], "project": [8, 9, 10, 16], "we": [8, 9, 10, 20, 21, 23], "welcom": 8, "form": [8, 9, 10, 14, 15, 16, 18], "bug": 8, "report": 8, "featur": [8, 16, 21], "In": [8, 16, 20, 21, 23], "follow": [8, 11, 15, 16, 20, 21, 23, 24], "refer": [8, 9, 10, 11, 15, 16, 18, 20, 23, 24], "some": [8, 12, 16, 21], "resourc": 8, "help": [8, 9, 10, 16, 21], "you": [8, 9, 10, 15, 16, 20, 21, 23], "tracker": 8, "can": [8, 9, 10, 15, 16, 19, 20, 21, 23, 24], "propos": 8, "give": [8, 16, 19, 21], "minim": [8, 15], "demonstr": 8, "copi": [8, 11, 15, 16], "past": 8, "error": [8, 12, 20], "If": [8, 9, 10, 11, 12, 14, 15, 16, 20, 21, 23, 24], "want": [8, 21, 23], "send": 8, "u": 8, "small": [8, 16], "fix": [8, 11, 15, 20], "correct": [8, 11, 15, 16, 18, 21], "user": [8, 9, 10, 11, 15, 16, 20, 23], "guid": [8, 9, 10, 15, 16, 23], "typic": [8, 16, 20], "good": [8, 16, 21], "start": [8, 9, 10, 16], "point": [8, 15, 16, 21], "But": 8, "don": [8, 16], "t": [8, 14, 16, 18, 19], "hesit": 8, "also": [8, 12, 15, 16, 20, 21, 23, 24], "signific": [8, 9, 10], "need": [8, 15, 16, 20, 21, 23], "get": [8, 9, 10, 12, 21, 22], "readi": 8, "common": 8, "standard": [8, 12, 15, 16, 18, 20, 21], "pleas": [8, 9, 10, 16, 20, 23], "order": [8, 12, 15, 16, 20, 21], "detail": [8, 9, 10, 11, 15, 16, 18, 20, 21, 23, 24], "guidelin": [8, 9, 10], "kikuchipi": 8, "contributor": 8, "anoth": [8, 16, 20, 21, 24], "extens": [8, 9, 10], "valuabl": 8, "provid": [8, 9, 10, 12, 15, 16, 20, 21], "As": [8, 21], "qualiti": 8, "assur": 8, "improv": [8, 16, 20, 21], "ensur": 8, "thoroughli": 8, "least": [8, 11, 15], "one": [8, 11, 12, 15, 16, 20, 21, 23], "other": [8, 15, 16, 21, 23], "member": 8, "team": 8, "befor": [8, 9, 10, 16, 20, 21], "being": [8, 16, 20], "merg": 8, "consist": [8, 12, 16, 20, 21], "three": [8, 16, 18, 20, 21], "element": [8, 11, 12, 14, 15, 16, 24], "docstr": [8, 15, 16], "individu": [8, 15], "method": [8, 11, 15, 16, 18, 19, 20, 21, 24], "written": 8, "host": 8, "read": [8, 9, 10, 15, 16, 24], "part": [8, 15, 18, 21], "demo": 8, "tutori": [8, 9, 10, 20], "alwai": [8, 16], "wai": [8, 9, 10, 20], "learn": [8, 16, 18], "through": [8, 16, 20], "respect": [8, 12, 24], "black": [8, 16], "For": [8, 9, 10, 11, 15, 16, 20, 21], "numpydoc": 8, "should": [8, 15, 16, 20, 21, 24], "block": 8, "blank": 8, "between": [8, 11, 14, 15, 16, 20, 21], "them": [8, 15, 16, 20, 21], "librari": [8, 9, 10, 23], "like": [8, 15, 16], "type": [8, 11, 12, 14, 15, 16, 19, 20, 21, 24], "third": 8, "parti": 8, "final": [8, 16, 20], "via": [8, 16, 18], "pytest": 8, "framework": 8, "resid": 8, "directori": 8, "short": [8, 9, 10], "compar": 8, "output": [8, 16, 20, 21], "known": [8, 15, 16, 21], "answer": 8, "further": [8, 9, 10, 15, 20], "inform": [8, 9, 10, 11, 15, 16, 20, 21, 24], "semant": 8, "number": [8, 9, 10, 11, 12, 16, 20, 21, 22, 24], "therefor": [8, 16, 19, 20, 21], "major": [8, 16, 21], "minor": [8, 16, 21], "patch": 8, "each": [8, 12, 14, 15, 16, 20], "depend": [8, 15, 16, 21, 23], "accord": [8, 11, 16], "increas": [8, 9, 10, 16, 20], "incompat": 8, "ad": [8, 12, 15, 16, 20, 21], "backward": 8, "compat": 8, "manner": [8, 15, 16, 21], "process": [8, 9, 10, 15, 24], "push": 8, "pypi": [8, 23], "conda": [8, 22], "forg": [8, 23], "extend": [9, 10, 15, 20, 24], "multi": [9, 10, 15, 20], "dimension": [9, 10, 18, 20], "analysi": [9, 10, 11, 16, 18, 20, 22], "It": [9, 10, 11, 15, 16, 20, 21], "aim": [9, 10], "check": [9, 10, 23], "instal": [9, 10, 22], "section": [9, 10, 16, 18, 20, 21, 23, 24], "includ": [9, 10, 11, 15, 16, 20, 21, 23], "how": [9, 10], "thi": [9, 10, 11, 12, 15, 16, 20, 21, 24], "everyon": [9, 10], "contribut": [9, 10, 16], "our": [9, 10], "see": [9, 10, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 24], "new": [9, 10, 15, 16, 18, 21], "ecosystem": [9, 10], "introduct": [9, 10], "basic": [9, 10, 21], "usag": [9, 10, 16], "depth": [9, 10], "kei": [9, 10, 11, 12, 15, 16], "concept": [9, 10], "along": [9, 10, 15, 16, 20, 21, 24], "background": [9, 10, 11, 12, 15, 16, 21], "explan": [9, 10], "specif": [9, 10, 12, 16, 20, 21, 24], "applic": [9, 10, 20], "progam": [9, 10], "interfac": [9, 10, 11, 16], "which": [9, 10, 15, 16, 20, 21, 24], "describ": [9, 10, 16, 21, 22, 24], "work": [9, 10, 16, 23, 24], "illustr": [9, 10], "task": [9, 10, 21], "whole": [9, 10, 16, 21], "its": [9, 10, 14, 15, 16, 19, 21, 24], "There": [9, 10, 21], "mani": [9, 10, 16, 21], "been": [9, 10, 11, 16], "lead": [9, 10, 16], "academ": [9, 10], "public": [9, 10], "acknowledg": [9, 10], "fact": [9, 10], "without": [9, 10, 11, 20, 21], "becaus": [9, 10, 16, 21], "have": [9, 10, 11, 16, 20, 21, 23], "emploi": [9, 10], "find": [9, 10, 16, 23], "click": [9, 10, 21], "given": [9, 10, 12, 14, 15, 16, 19, 20, 21, 24], "articl": [9, 10], "do": [9, 10, 16, 23], "list": [9, 10, 11, 12, 14, 15, 16, 20, 21, 24], "up": [9, 10, 15, 16, 20, 21], "date": [9, 10], "search": [9, 10, 12, 16, 20, 21, 24], "databas": [9, 10, 12, 14, 21], "googl": [9, 10], "scholar": [9, 10], "publish": [9, 10], "2012": [9, 10], "mai": [9, 10, 16, 20], "mention": [9, 10], "under": [9, 10, 15, 20], "old": [9, 10, 16], "eelslab": [9, 10], "softwar": [9, 10, 16, 20], "redistribut": [9, 10], "modifi": [9, 10, 16], "term": [9, 10], "gnu": [9, 10], "gpl": [9, 10], "foundat": [9, 10], "either": [9, 10, 16, 20, 24], "your": [9, 10, 15], "option": [9, 10, 11, 12, 15, 16, 20, 21, 23], "ani": [9, 10, 11, 12, 15, 16, 20, 21, 24], "later": [9, 10], "distribut": [9, 10, 11, 15, 16, 23], "hope": [9, 10], "warranti": [9, 10], "even": [9, 10], "impli": [9, 10], "merchant": [9, 10], "particular": [9, 10, 20], "purpos": [9, 10, 16, 21], "class": [11, 12, 15, 16, 19, 20, 21, 24], "doublepowerlaw": [11, 13], "1e": 11, "05": 11, "r": [11, 14, 16, 18], "origin": [11, 15, 16], "shift": [11, 15, 16], "ratio": [11, 15, 16, 21], "left_cutoff": 11, "modul": [11, 16], "numexpr": 11, "compute_gradi": 11, "kwarg": [11, 15, 16], "base": [11, 12, 15, 16, 21, 23], "doubl": 11, "power": [11, 15, 16], "law": [11, 15, 16], "spectra": [11, 12, 16, 20, 21, 24], "f": [11, 16, 18, 19], "cdot": 11, "s_r": 11, "x_0": 11, "x_": 11, "variabl": 11, "float": [11, 12, 14, 15, 16, 20, 21, 24], "height": [11, 15, 20, 21], "coeffici": [11, 14, 16, 18], "locat": [11, 15, 16, 21], "two": [11, 15, 16, 19, 20, 21], "extra": [11, 15, 16, 24], "keyword": [11, 15, 16, 21], "pass": [11, 15, 16], "return": [11, 12, 14, 15, 16, 20, 21], "parameter_name_list": 11, "linear_parameter_list": 11, "function_nd": 11, "axi": [11, 15, 16, 21, 24], "arrai": [11, 14, 16, 20], "contain": [11, 12, 15, 16, 20, 21, 24], "indic": [11, 16], "enough": 11, "memori": [11, 16], "quickli": 11, "obtain": [11, 15, 16, 20, 21], "iter": [11, 15, 16, 20, 21], "over": [11, 16, 21], "ax": [11, 16, 20], "eelsarctan": [11, 13], "minimum": [11, 12, 15, 16, 21], "zero": [11, 12, 16, 19, 24], "left": [11, 15, 16, 19, 20], "frac": [11, 19], "pi": [11, 19], "right": [11, 15, 16, 19, 20], "amplitud": 11, "lim_": 11, "infti": 11, "2a": 11, "slope": 11, "steep": 11, "step": [11, 16, 20, 23], "larger": [11, 16, 20], "sharper": 11, "center": [11, 16, 20], "eelscledg": [11, 13, 15, 21], "element_subshel": 11, "gos_file_path": [11, 15, 16, 21], "as_dictionari": [11, 15, 16], "fullcopi": [11, 15], "dictionari": [11, 15, 16], "convent": [11, 24], "export_to_dictionari": [11, 15], "bool": [11, 12, 15, 16], "found": [11, 15, 16, 20, 24], "pickl": [11, 15], "convert": [11, 14, 15, 16, 19], "dic": 11, "field": [11, 15, 24], "per": [11, 15, 16, 19, 20], "_whitelist": [11, 15], "dict": [11, 15, 16], "properti": [11, 15, 19, 20, 21], "fine_structure_smooth": [11, 21], "control": [11, 15, 21], "level": 11, "smooth": [11, 16, 21], "must": [11, 12, 16, 20, 21], "real": [11, 16, 21], "higher": [11, 20], "fix_fine_structur": [11, 15, 21], "spline": [11, 21], "free_fine_structur": [11, 15, 21], "onli": [11, 14, 15, 16, 20, 21, 23, 24], "previous": [11, 16, 20], "fine_structure_spline_act": [11, 21], "count": [11, 16], "barn": [11, 20], "get_fine_structure_as_signal1d": 11, "multipl": [11, 15, 16, 20, 21], "scatter": [11, 14, 15, 16, 18, 19], "convolv": [11, 15, 16, 21], "low": [11, 12, 15, 16, 21], "gui": [11, 20], "displai": [11, 12, 16, 20, 21], "toolkit": [11, 16], "interact": [11, 14, 16, 21], "widget": [11, 16], "usual": [11, 15, 16, 20, 21], "customis": [11, 16], "str": [11, 14, 15, 16, 24], "string": [11, 12, 15, 16, 24], "select": [11, 15, 16, 20, 21], "inter": [11, 16], "e0": 11, "alpha": [11, 15, 20, 24], "beta": [11, 19, 24], "energy_scal": 11, "microscop": [11, 12, 16, 18, 24], "beam": [11, 15, 16, 18, 20, 21, 24], "kev": [11, 14, 15, 16, 20, 21, 24], "converg": [11, 12, 16, 20, 21, 24], "semi": [11, 16, 19, 21, 24], "angl": [11, 16, 19, 21, 24], "mrad": [11, 16, 21, 24], "collect": [11, 12, 16, 19, 21, 24], "ev": [11, 12, 15, 16, 18, 20, 21, 24], "pesvoigt": [11, 13], "voigt": 11, "photoemiss": 11, "profil": [11, 16], "shirlei": 11, "non_isochromat": 11, "transmission_funct": 11, "spin": 11, "orbit": 11, "special": [11, 21], "suit": 11, "l": [11, 15, 21, 24], "where": [11, 16, 19, 20], "lorentzian": [11, 15], "approxim": [11, 12, 16, 21, 24], "formula": [11, 12], "david": 11, "area": [11, 15, 16, 20, 21, 24], "intens": [11, 15, 16, 22], "peak": [11, 12, 15, 16, 19, 20, 24], "centr": [11, 15, 16], "maximum": [11, 12, 15, 16, 20, 21, 24], "fwhm": [11, 16, 20, 21, 24], "sigma": [11, 15], "sqrt": 11, "log": [11, 15, 16, 21], "gamma": 11, "resolut": [11, 12, 15, 16, 20, 24], "shirley_background": 11, "spin_orbit_split": 11, "spin_orbit_branching_ratio": 11, "spin_orbit_splitting_energi": 11, "w": 11, "j": [11, 18], "appl": 11, "cryst": 11, "1986": 11, "63": [11, 20], "64": [11, 16], "1107": 11, "s0021889886089999": 11, "estimate_paramet": 11, "e1": [11, 15], "e2": [11, 15], "only_curr": [11, 15], "estim": [11, 14, 15, 16, 20], "calcul": [11, 14, 15, 16, 20, 21], "momenta": 11, "instanc": [11, 12, 15, 16], "x1": 11, "defin": [11, 15, 16, 20, 21], "limit": [11, 15, 16, 20], "spectral": [11, 15, 16, 21], "rang": [11, 15, 16, 21], "x2": 11, "exit": 11, "statu": 11, "requir": [11, 15, 16, 21, 23], "remove_background": 11, "cookbook": 11, "item": [11, 16, 24], "fittingdata": 11, "2000": 11, "scale": [11, 15, 16, 20], "phi": 11, "secondari": 11, "emiss": 11, "begin": 11, "case": [11, 16, 20, 21], "leq": 11, "tail": [11, 16], "asymmetri": 11, "vignet": [11, 13], "len": 11, "co": 11, "multipli": [11, 20], "edg": [11, 12, 15, 16, 21], "volumeplasmondrud": [11, 13], "plasmon_energi": 11, "15": [11, 16, 18, 20], "drude": 11, "volum": [11, 16, 19], "plasmon": [11, 16, 21], "i_0": [11, 19], "delta": [11, 15, 16], "e_p": 11, "_compon": 11, "egerton": [11, 16, 18], "2nd": [11, 21], "edit": 11, "plenum": 11, "press": 11, "1996": [11, 18], "pp": 11, "154": 11, "158": 11, "equat": 11, "eds_sem_tm002": [12, 13, 16], "sem": [12, 15, 16, 20], "tm002": 12, "suppli": [12, 16, 20], "bundesanstalt": 12, "f\u00fcr": 12, "materialforschung": 12, "und": 12, "pr\u00fcfung": 12, "bam": [12, 20], "sampl": [12, 14, 15, 16, 19, 22], "\u00b5m": 12, "thick": [12, 16, 18, 19, 20], "layer": [12, 21], "c": [12, 14, 15, 16, 18, 20, 23], "al": [12, 14, 16, 20], "cu": [12, 14, 16, 20], "zr": [12, 16, 20], "silicon": 12, "substrat": 12, "www": [12, 20], "webshop": 12, "de": [12, 18, 19], "nvision40": 12, "carl": 12, "zeiss": 12, "detector": [12, 15, 16], "80": [12, 16, 20], "oxford": [12, 20], "instrument": [12, 16, 20, 24], "eds_tem_fept_nanoparticl": [12, 13, 16, 20], "tem": [12, 15, 16, 20], "fept": [12, 20], "bimetal": [12, 20], "nanoparticl": [12, 18, 20], "tecnai": 12, "osiri": 12, "200": 12, "kv": [12, 20], "d658": 12, "analyticaltwin": 12, "super": [12, 20], "brucker": 12, "eels_mnf": [12, 13], "add_powerlaw": 12, "add_nois": [12, 16], "navigation_shap": [12, 16], "artifici": 12, "core": [12, 15, 16, 21], "similar": 12, "l32": 12, "perovskit": 12, "oxid": 12, "random": [12, 15, 16], "experiment": [12, 15, 20, 21], "powerlaw": [12, 15, 16, 21], "seed": 12, "reproduc": [12, 21], "int": [12, 15, 16, 24], "randomst": 12, "tupl": [12, 15, 16, 21], "shape": [12, 16, 21], "space": [12, 16], "length": [12, 16, 21, 24], "eelsspectrum": [12, 13, 15, 16, 21], "eels_mn": 12, "With": [12, 20], "eels_low_loss": [12, 13], "eelsdb": [12, 13, 21], "spectrum_typ": [12, 21], "author": 12, "min_energi": 12, "max_energi": 12, "min_energy_compar": 12, "gt": 12, "max_energy_compar": 12, "lt": 12, "resolution_compar": 12, "max_n": 12, "monochrom": [12, 16], "order_direct": 12, "asc": 12, "verify_certif": 12, "show_progressbar": [12, 16], "coreloss": [12, 21], "lowloss": [12, 16, 21], "zeroloss": 12, "xrayab": 12, "text": 12, "filter": [12, 16], "presenc": 12, "correspond": [12, 14, 15, 16, 20, 21], "valid": [12, 14, 15, 16], "symbol": [12, 14, 15, 16, 21, 24], "chemic": [12, 16, 18, 20, 21], "l1": [12, 15], "l2": [12, 15], "m2": [12, 15], "m4": 12, "n2": 12, "n4": 12, "o2": 12, "o4": 12, "eq": 12, "less": [12, 16, 20], "than": [12, 16, 20, 21], "equal": [12, 14, 16], "greater": 12, "deafault": 12, "sort": [12, 16], "spectrumtyp": 12, "spectrummin": 12, "spectrummax": 12, "stepsiz": 12, "spectrumformula": 12, "spectrumel": 12, "spectrumupload": 12, "source_pur": 12, "spectrumedg": 12, "guntyp": 12, "beamenergi": 12, "acquisition_mod": [12, 24], "probes": 12, "beamcurr": 12, "integratetim": 12, "readout": 12, "darkcurr": 12, "gainvari": 12, "calibr": [12, 15, 16], "zeroloss_deconv": 12, "deconv_fourier_log": 12, "deconv_fourier_ratio": 12, "deconv_stephens_deconvolut": 12, "deconv_richardson_luci": 12, "deconv_maximum_entropi": 12, "deconv_oth": 12, "assoc_spectra": 12, "ref_freetext": 12, "ref_doi": 12, "ref_url": 12, "ref_author": 12, "ref_journ": 12, "ref_volum": 12, "ref_issu": 12, "ref_pag": 12, "ref_year": 12, "ref_titl": 12, "otherurl": 12, "desc": 12, "direct": 12, "verifi": 12, "websit": 12, "certif": 12, "rais": [12, 15, 16, 20], "invalid": 12, "continu": [12, 15, 21], "queri": 12, "potenti": 12, "secur": 12, "risk": 12, "progress": [12, 15, 16, 18], "bar": [12, 16], "prefer": [12, 16, 20], "match": [12, 16, 21], "criteria": 12, "materi": [13, 16, 18, 20, 21], "atomic_to_weight": [13, 14, 20], "density_of_mixtur": [13, 14], "mass_absorption_coeffici": [13, 14, 20], "mass_absorption_mixtur": [13, 14, 20], "weight_to_atom": [13, 14, 20], "edsmodel": [13, 15, 16], "edssemmodel": [13, 15, 16], "edstemmodel": [13, 15, 16], "eelsmodel": [13, 15, 16, 21], "dielectricfunct": [13, 16, 19], "edssemspectrum": [13, 15, 16, 20], "edsspectrum": [13, 15, 16], "edstemspectrum": [13, 15, 16, 20], "lazydielectricfunct": [13, 16], "lazyedssemspectrum": [13, 16], "lazyedsspectrum": [13, 16], "lazyedstemspectrum": [13, 16], "lazyeelsspectrum": [13, 16], "atomic_perc": [14, 20], "auto": [14, 16, 20], "atom": [14, 16, 18, 19, 20, 21], "percent": [14, 16, 20], "weight": [14, 15, 16, 20], "fraction": [14, 15, 16], "composit": [14, 16, 20], "abbrevi": [14, 20], "zn": [14, 15, 20], "take": [14, 16, 21], "weight_perc": [14, 16, 20], "modern": 14, "bronz": 14, "93": 14, "sn": 14, "00501989": 14, "99498011": 14, "mean": [14, 15, 16, 21], "harmon": 14, "densiti": [14, 16, 20, 21], "mixtur": 14, "retriev": [14, 20, 21], "intern": [14, 16], "differ": [14, 15, 16, 20, 21], "divid": [14, 16], "sum": [14, 16, 19], "normal": [14, 16], "cm3": 14, "6903187973131466": 14, "mass": [14, 16, 18, 19], "absorpt": [14, 16, 18], "mu": 14, "rho": 14, "absorb": 14, "pure": [14, 20], "chantler2005": [14, 18, 20], "al_ka": [14, 15, 16, 20, 24], "cm": [14, 16, 20], "c_ka": [14, 15, 16, 20], "26330": [14, 20], "38933818": [14, 20], "372": [14, 20], "02616732": [14, 20], "dx": 14, "org": [14, 18], "18434": 14, "t4hs32": 14, "chantler": [14, 18], "olsen": [14, 18], "dragoset": [14, 18], "kishor": [14, 18], "kotochigova": [14, 18], "zucker": [14, 18], "d": [14, 15, 18], "2005": 14, "factor": [14, 16, 18, 20], "attenu": [14, 18], "tabl": [14, 16, 21], "first": [14, 15, 16, 20, 21, 23, 24], "dimens": [14, 16, 19, 20], "matrix": 14, "2587": [14, 20], "41616439": 14, "wt": 14, "th": 14, "19698614": 14, "80301386": 14, "auto_background": [15, 16], "auto_add_lin": [15, 16], "arg": [15, 16], "subclass": [15, 16, 19, 21], "automat": [15, 16, 20, 21, 23], "add_family_lin": [15, 16], "polynomi": [15, 16, 20], "add_polynomial_background": [15, 16], "creator": 15, "fit_background": [15, 20], "calibrate_energy_axi": [15, 20], "calibrate_xray_lin": [15, 20], "au_ma": 15, "sub_weight": [15, 20], "mn_la": [15, 16, 20], "bound": [15, 20], "xray_lin": [15, 16, 20, 24], "from_el": [15, 16], "xrai": [15, 16], "configur": [15, 21], "appropi": 15, "familii": 15, "ka": [15, 16, 20, 24], "kb": [15, 16, 20], "too": 15, "main": [15, 16, 20], "those": [15, 16, 21], "altern": [15, 16, 20, 23], "eg": [15, 16], "zn_ka": 15, "notimplementederror": [15, 16], "non": [15, 16, 21], "uniform": [15, 16], "background_compon": 15, "degre": [15, 16, 24], "freedom": 15, "dof": 15, "chi": 15, "squar": [15, 20], "chisq": 15, "all_alpha": 15, "width": [15, 16, 20, 21, 24], "place": [15, 16], "extrapol": [15, 16], "energy_resolution_mnka": [15, 16, 20, 24], "updat": [15, 21, 22], "word": 15, "singl": [15, 16, 19, 20, 21], "sub": [15, 20], "famili": [15, 16], "current": [15, 16, 21, 24], "disable_xray_lin": [15, 20], "disabl": [15, 20, 21], "enable_xray_lin": [15, 20], "start_energi": [15, 16], "end_energi": 15, "windows_sigma": 15, "after": [15, 16, 20, 21], "lower": [15, 16], "upper": [15, 16], "around": [15, 16, 21], "free_background": [15, 20], "fix_background": [15, 20], "fix_sub_xray_lines_weight": [15, 20], "establish": 15, "twin": 15, "fix_xray_lines_energi": [15, 20], "actual": [15, 21], "fix_xray_lines_width": [15, 20], "yscale": 15, "free_sub_xray_lines_weight": [15, 20], "free_xray_lines_energi": [15, 20], "001": 15, "free_xray_lines_width": [15, 20], "get_lines_intens": [15, 16, 20], "plot_result": [15, 16, 20], "only_on": [15, 16], "only_lin": [15, 16, 20], "corresp": 15, "undefin": [15, 16], "empti": [15, 16], "same": [15, 16, 20, 21, 24], "syntax": [15, 16], "add_lin": [15, 16, 20], "subset": [15, 16, 20], "oper": [15, 16, 23], "instead": [15, 16, 21], "highest": [15, 16, 20], "abov": [15, 16, 20, 21, 23], "overvoltag": [15, 16, 20], "util": [15, 16, 21, 22, 24], "plot_sign": [15, 16], "ta_ma": 15, "thing": [15, 16], "g1": [15, 21], "g2": [15, 21], "could": [15, 20], "Or": 15, "acquir": [15, 16, 21, 24], "constructor": 15, "auto_add_edg": [15, 16], "assum": [15, 16, 20, 21], "effect": [15, 16, 21, 22], "ioniz": [15, 16, 20, 21], "ionis": [15, 16, 21], "hydrogen": [15, 16, 21], "specifi": [15, 16, 20, 21], "path": [15, 16, 21], "recreat": [15, 16], "disable_background": [15, 21], "disable_edg": 15, "edges_list": 15, "onset": [15, 16, 21], "region": [15, 16, 21], "otherwis": [15, 16, 21, 24], "enable_edg": [15, 21], "enable_background": [15, 21], "disable_fine_structur": [15, 21], "set_all_edges_intensities_posit": [15, 21], "unset_all_edges_intensities_posit": [15, 21], "enable_free_onset_energi": [15, 21], "disable_free_onset_energi": [15, 21], "fix_edg": [15, 21], "free_edg": [15, 21], "onset_energi": [15, 21], "dure": [15, 16, 24], "freed": 15, "smart_fit": [15, 21], "optim": [15, 21], "algorithm": [15, 16, 21], "lm": 15, "levenberg": 15, "marquardt": 15, "trf": 15, "trust": 15, "reflect": [15, 16], "dogbox": 15, "dogleg": 15, "rectangular": 15, "odr": 15, "orthogon": 15, "distanc": [15, 20, 24], "regress": 15, "doe": [15, 16, 20, 21], "here": [15, 20], "document": [15, 16, 20, 21, 23, 24], "differenti": 15, "evolut": 15, "global": [15, 21], "differential_evolut": 15, "dual": [15, 18], "anneal": 15, "dual_ann": 15, "shgo": 15, "simplici": 15, "homologi": 15, "loss_funct": 15, "ml": 15, "poisson": [15, 16], "huber": 15, "callabl": 15, "neg": [15, 16], "likelihood": [15, 16], "mle": 15, "huber_delta": 15, "own": [15, 16], "grad": 15, "fd": 15, "analyt": [15, 21], "whether": [15, 16], "about": [15, 16, 21, 23, 24], "gradient": 15, "deriv": [15, 16, 21], "finit": 15, "scheme": 15, "numer": [15, 16], "fd_scheme": 15, "speed": 15, "sinc": [15, 16], "vector": [15, 16], "Not": [15, 16], "update_plot": 15, "slow": [15, 16], "down": [15, 21], "visual": [15, 20, 21], "print_info": [15, 16], "fit_output": 15, "optimizeresult": 15, "return_info": [15, 16], "chosen": [15, 16], "choic": [15, 16], "coordin": [15, 16], "quantifi": [15, 16, 21], "independ": [15, 23], "remove_fine_structure_data": [15, 21], "routin": [15, 21], "fine_structure_width": [15, 21], "resolve_fine_structur": [15, 21], "preedge_safe_window_width": 15, "i1": 15, "adjust": [15, 20, 21], "avoid": [15, 16, 21], "overlap": [15, 21], "everi": [15, 21, 24], "resume_auto_fine_structure_width": 15, "suspend_auto_fine_structure_width": [15, 21], "ext_force_posit": 15, "ext_bound": 15, "set_convolution_axi": 15, "precis": [15, 16], "convolut": 15, "cascad": 15, "style": 15, "procedur": [15, 21], "act": [15, 21], "deactiv": [15, 21], "Then": [15, 21], "repeat": [15, 21], "until": [15, 16, 20, 21], "simultan": [15, 21], "never": [15, 21], "two_area_background_estim": 15, "try": [15, 16, 20, 21], "guess": 15, "unset": 15, "lazi": 16, "counterpart": 16, "signal_dimens": 16, "bin": [16, 20], "transmiss": [16, 18, 24], "microscopi": [16, 18], "scan": [16, 20, 24], "dielectr": [16, 21, 22], "unbin": 16, "complexsignal1d": [16, 19], "ndarrai": 16, "axesmanag": [16, 20], "whose": 16, "might": 16, "mandatori": 16, "original_metadata": 16, "rag": 16, "overwrit": [16, 20], "noth": 16, "get_electron_energy_loss_spectrum": [16, 19], "zlp": [16, 21], "comput": [16, 20, 21, 22], "basesign": [16, 20, 21], "intengr": 16, "ii": [16, 21], "navigation_dimens": 16, "integr": [16, 19, 20, 21, 24], "nm": [16, 20, 24], "get_number_of_effective_electron": [16, 19], "nat": 16, "cumul": 16, "beth": [16, 19], "rule": [16, 19], "rise": [16, 19], "definit": [16, 19], "neff1": 16, "neff2": 16, "n_": [16, 19], "mathrm": [16, 19], "eff_": 16, "eff": 16, "im": [16, 19], "epsilon": [16, 19], "epsilon_": [16, 19], "both": [16, 19, 20, 21], "molecul": [16, 19], "springer": [16, 18], "verlag": [16, 18], "2011": [16, 18], "kward": 16, "measur": [16, 21, 24], "boolean": 16, "get_calibration_from": [16, 20], "ref": 16, "nb_pix": 16, "primari": 16, "To": [16, 19, 20, 21, 23], "rippl": 16, "inca": [16, 20], "live": 16, "dead": [16, 24], "pixel": [16, 20], "averag": [16, 20], "live_tim": [16, 20, 24], "tilt_stag": [16, 20], "azimuth_angl": [16, 20, 24], "elevation_angl": [16, 20, 24], "mode": 16, "fill": 16, "acquisition_instru": [16, 20, 22], "135": 16, "now": [16, 20, 23], "130": [16, 20], "set_el": [16, 20], "set_lin": [16, 20], "although": [16, 20], "thei": [16, 20, 21], "ocassion": 16, "custom": [16, 21], "fe_kb": 16, "addition": [16, 20], "cu_la": [16, 20], "zr_la": [16, 20], "cu_ka": [16, 20], "mn_ka": [16, 20], "add_xray_lines_mark": 16, "render_figur": 16, "marker": [16, 20], "spec": 16, "estimate_background_window": [16, 20], "line_width": [16, 20], "windows_width": 16, "window": [16, 20, 21], "els": [16, 23], "windows_posit": 16, "2d": 16, "bw": [16, 20], "background_window": [16, 20], "fe_ka": [16, 20], "4039": 16, "2754": 16, "pt_la": [16, 20], "4421": 16, "15090": 16, "estimate_integration_window": 16, "integration_window": [16, 20], "row": 16, "iw": 16, "3710": 16, "15872": 16, "map": [16, 20], "sume": 16, "subtract": 16, "while": [16, 20, 21], "ambigu": 16, "allow": [16, 21], "integration_windows_width": 16, "63316": [16, 20], "96700": 16, "8987": [16, 20], "53597": 16, "46716": 16, "get_take_off_angl": 16, "off": [16, 20], "toa": 16, "leav": [16, 24], "surfac": [16, 21, 24], "toward": 16, "stage": [16, 20], "tilt_alpha": [16, 24], "tilt_beta": [16, 24], "take_off_angl": 16, "plot_mark": 16, "autoscal": 16, "v": [16, 19], "norm": 16, "navigator_kwd": 16, "associ": 16, "link": [16, 20], "explor": 16, "imag": [16, 20, 21], "stack": [16, 20], "horizont": 16, "slider": 16, "y": [16, 20, 23, 24], "z": [16, 18, 20, 24], "index": [16, 20, 21, 23], "notic": [16, 21], "compute_navig": 16, "signal_shap": 16, "navigator_shap": 16, "dynam": 16, "rgb": 16, "rgba": 16, "add_mark": 16, "perman": 16, "larg": 16, "veri": [16, 21], "addit": [16, 20, 21], "matplotlib": 16, "pyplot": 16, "imshow": 16, "prior": 16, "power_spectrum": 16, "complex": [16, 19, 21], "combin": 16, "charact": [16, 20], "vertic": 16, "maxima": 16, "reset": [16, 21], "rebin": 16, "new_shap": 16, "crop": 16, "smaller": 16, "interpol": 16, "twice": 16, "size": [16, 20, 21, 24], "underli": 16, "integ": 16, "fewer": 16, "quota": 16, "produc": [16, 20], "determin": [16, 18, 20], "appear": 16, "preserv": 16, "behaviour": 16, "kept": 16, "receiv": 16, "ones": [16, 24], "164": 16, "uint8": 16, "unit16": 16, "s2": 16, "uint16": 16, "keep": 16, "s3": 16, "unsign": 16, "platform": 16, "s4": 16, "uint32": 16, "remove_xray_lines_mark": 16, "render": 16, "figur": 16, "eras": 16, "rechunk": 16, "dataaxi": 16, "directli": [16, 20, 24], "duplic": 16, "chunk": 16, "retain": 16, "intend": 16, "integrate1d": 16, "erron": 16, "misus": 16, "var": 16, "indexmax": 16, "indexmin": 16, "valuemax": 16, "valuemin": 16, "1024": [16, 20], "signal2d": 16, "static": [16, 21], "cl_get_mass_thick": 16, "mass_thick": [16, 20], "calcult": 16, "cliff": [16, 18, 20], "lorim": [16, 18, 20], "initi": 16, "k_factor": 16, "quantif": [16, 21, 22], "edx": [16, 24], "kg": [16, 20], "m\u00b2": [16, 20], "decomposit": 16, "normalize_poissonian_nois": 16, "navigation_mask": 16, "appli": [16, 20, 21, 24], "learning_result": 16, "poissonian": 16, "approach": [16, 18, 20, 21], "mark": 16, "vacuum_mask": 16, "mask": 16, "threshold": [16, 21], "morpholog": 16, "svd": 16, "mlpca": 16, "sklearn_pca": 16, "nmf": 16, "sparse_pca": 16, "mini_batch_sparse_pca": 16, "rpca": 16, "orpca": 16, "ornmf": 16, "implement": [16, 21], "fit_transform": 16, "transform": [16, 20, 21], "scikit": 16, "output_dimens": 16, "auto_transpos": 16, "transpos": 16, "boost": 16, "signal_mask": 16, "var_arrai": 16, "varianc": 16, "pca": 16, "var_func": 16, "reproject": 16, "howev": [16, 20, 21], "sklearn": 16, "svd_solver": 16, "arpack": 16, "solver": 16, "polici": 16, "input": [16, 21], "500x500": 16, "extract": [16, 20], "smallest": 16, "effici": 16, "exact": 16, "truncat": 16, "afterward": 16, "lapack": 16, "linalg": 16, "postprocess": 16, "spars": 16, "strictli": [16, 21], "extmath": 16, "randomized_svd": 16, "treatment": 16, "_data_before_treat": 16, "undo_treat": 16, "made": [16, 20], "benefici": 16, "care": 16, "taken": 16, "overwritten": 16, "si": [16, 20], "change_dtyp": 16, "keenan": 16, "p": [16, 18, 20], "kotula": 16, "account": [16, 21, 23], "multivari": 16, "tof": 16, "sim": 16, "surf": 16, "anal": 16, "36": 16, "2004": 16, "203": 16, "212": 16, "020028": 16, "get_probe_area": 16, "navigation_ax": 16, "probe": [16, 20], "nm\u00b2": [16, 20, 24], "\u03bcm": 16, "composition_unit": [16, 20], "absorption_correct": [16, 20], "convergence_criterion": 16, "probe_area": [16, 20, 24], "max_iter": [16, 20], "zeta": [16, 18, 20], "cross": [16, 18, 20], "success": 16, "percentag": 16, "critera": 16, "intensitii": 16, "cl": [16, 20], "cross_sect": [16, 20], "kfactor": [16, 20], "alphabet": [16, 20], "982": 16, "cr_ka": 16, "ni_ka": 16, "unless": 16, "specfi": 16, "travel": 16, "reach": [16, 20], "nb": 16, "criterium": 16, "threhsold": 16, "correciton": 16, "450226": [16, 20], "075602": [16, 20], "fe": [16, 20], "pt": [16, 20], "la": [16, 18, 20], "re": 16, "41": [16, 20], "84": [16, 20], "59": [16, 20], "beam_curr": [16, 20, 24], "real_tim": [16, 20, 24], "na": [16, 20, 24], "133": 16, "312296": 16, "vacuum": [16, 19], "consid": 16, "opnen": 16, "s_vac": 16, "ones_lik": 16, "005": 16, "include_pre_edg": 16, "declar": [16, 21], "present": [16, 20], "NOT": 16, "valueerror": 16, "also_align": [16, 21], "print_stat": 16, "align": 16, "estimate_zero_loss_peak_centr": [16, 21], "proce": 16, "accuraci": [16, 21], "align1d": [16, 21], "ident": 16, "summari": 16, "statist": 16, "correl": 16, "nan": 16, "Will": 16, "within": [16, 21], "roi": 16, "s_ll": 16, "narrow": [16, 20, 21], "estimate_shift1d": 16, "edges_at_energi": [16, 21], "only_major": 16, "closest": [16, 21], "show": 16, "shown": [16, 20, 21], "nearbi": [16, 21], "ascend": 16, "similarli": [16, 20], "descend": 16, "ascii": 16, "environ": [16, 21], "estimate_elastic_scattering_intens": [16, 21], "rough": 16, "elast": 16, "constant": 16, "i0": 16, "estimate_elastic_scattering_threshold": [16, 21], "tol": [16, 21], "window_length": 16, "polynomial_ord": 16, "inflexion": [16, 21], "look": 16, "local": [16, 21], "often": [16, 21], "bulk": [16, 20], "smoother": [16, 21], "what": [16, 21], "restrict": 16, "toler": [16, 20, 21], "guarante": 16, "savitzki": 16, "golai": 16, "fall": 16, "minima": 16, "caus": [16, 21], "odd": 16, "couldn": 16, "find_peaks1d_ohav": [16, 20, 21], "fourier_ratio_deconvolut": [16, 21], "inde": [16, 21], "achiev": [16, 20], "awar": 16, "estimate_thick": [16, 21], "mean_free_path": 16, "rel": [16, 21], "absolut": [16, 21], "hyperspectrum": 16, "well": [16, 21], "roughli": 16, "across": [16, 21], "nanomet": 16, "angular": [16, 21], "mfp": 16, "just": 16, "coars": 16, "zlpc": 16, "meet": 16, "criterion": 16, "fourier_log_deconvolut": [16, 21], "add_zlp": 16, "fourier": 16, "deconvolut": 16, "deconvolv": 16, "channel": 16, "decai": 16, "smoothli": 16, "side": [16, 20], "extrapolate_lowloss": 16, "extrapolate_coreloss": 16, "reduc": [16, 21], "amplif": 16, "half": [16, 24], "snr": 16, "generate_subshel": 16, "subshel": 16, "get_zero_loss_peak_mask": 16, "zero_loss_peak_mask_width": 16, "kramers_kronig_analysi": [16, 21], "full_output": 16, "ssd": 16, "kramer": 16, "kronig": 16, "relat": [16, 21], "fft": [16, 21], "loop": 16, "devis": 16, "suppos": 16, "unoxid": 16, "planar": 16, "neglect": 16, "coupl": 16, "retard": 16, "broaden": 16, "excit": [16, 20, 21], "particl": 16, "refract": [16, 21], "medium": 16, "stabil": 16, "ep": 16, "epsilon_1": 16, "epsilon_2": 16, "matlab": 16, "wrap": 16, "problem": 16, "workaround": 16, "pad": 16, "plot_edg": 16, "only_edg": 16, "draw": 16, "zr_l": 16, "zr_l3": 16, "power_law_extrapol": 16, "window_s": 16, "extrapolation_s": 16, "fix_neg_r": 16, "flag": 16, "done": 16, "print_edges_near_energi": [16, 21], "sequenc": 16, "overrid": 16, "prettytext": 16, "represent": 16, "termin": 16, "richardson_lucy_deconvolut": [16, 21], "psf": 16, "num_work": 16, "1d": 16, "richardson": 16, "luci": 16, "kernel": 16, "spatial": [16, 20], "worker": 16, "dask": 16, "gloter": 16, "douiri": 16, "tenc": 16, "colliex": 16, "solut": 16, "ultramicroscopi": [16, 18], "96": [16, 18, 20], "septemb": 16, "2003": 16, "385": 16, "400": 16, "necessari": [16, 20, 21], "ui": 16, "spikes_diagnosi": 16, "histogram": 16, "choos": 16, "spike": 16, "get_histogram": 16, "spikes_removal_tool": 16, "graphic": 16, "luminesc": 16, "detect": 16, "introduc": 16, "artefact": 16, "mitig": 16, "interest": 16, "spikesremov": 16, "quarter": 16, "lazycomplexsignal1d": 16, "delai": [16, 21], "explicitli": 16, "request": [16, 20], "expect": 16, "instanti": 16, "da": 16, "as_lazi": 16, "lazysignal1d": 16, "burdet2013": [18, 20], "burdet": 18, "vannod": 18, "hessler": 18, "wyser": 18, "rappaz": 18, "cantoni": 18, "laser": 18, "weld": 18, "niti": 18, "stainless": 18, "steel": 18, "wire": 18, "fib": 18, "acta": 18, "materialia": 18, "61": 18, "2013": 18, "3090": 18, "3098": 18, "1016": 18, "actamat": 18, "069": 18, "photoelectr": 18, "92": 18, "mev": 18, "nist": 18, "physic": 18, "gov": 18, "ffast": 18, "egerton2011": [18, 19, 21], "1007": 18, "978": 18, "4419": 18, "9583": 18, "macarthur2016": [18, 20], "macarthur": 18, "haigh": 18, "ozkaya": 18, "nellist": 18, "lozano": 18, "perez": 18, "quantit": [18, 20], "catalyst": 18, "partial": 18, "microsc": 18, "microan": 18, "2016": 18, "71": 18, "1017": 18, "s1431927615015494": 18, "rossouw2015": [18, 20], "rossouw": 18, "pe\u00f1a": 18, "ducati": 18, "knappett": 18, "wheatlei": 18, "midglei": 18, "multicompon": 18, "unmix": 18, "nanoheterostructur": 18, "overcom": 18, "tradit": 18, "challeng": 18, "nanoscal": 18, "machin": 18, "nano": 18, "lett": 18, "2015": 18, "2716": 18, "2720": 18, "1021": 18, "ac": 18, "nanolett": 18, "5b00449": 18, "watanabe1996": [18, 20], "watanab": 18, "horita": 18, "nemoto": 18, "microanalysi": 18, "65": 18, "187": 18, "198": 18, "s0304": 18, "3991": 18, "00070": 18, "watanabe2006": [18, 20], "william": 18, "thin": [18, 20], "specimen": [18, 20], "review": 18, "221": 18, "2006": 18, "89": 18, "109": 18, "onlinelibrari": 18, "wilei": 18, "com": [18, 20], "1111": 18, "1365": 18, "2818": 18, "01549": 18, "williams2009": 18, "carter": 18, "textbook": 18, "scienc": 18, "york": 18, "2009": 18, "387": 18, "76501": 18, "inherit": [19, 21], "complexsign": 19, "thu": 19, "access": [19, 24], "sure": [19, 21], "properli": 19, "set_signal_typ": [19, 20, 21], "eff1": 19, "m_": 19, "hbar": 19, "int_": 19, "eff2": 19, "n_a": 19, "epsilon_0": 19, "permitt": [19, 21], "m_0": 19, "charg": 19, "naiv": 19, "2i_": 19, "a_": 19, "ln": [19, 20], "theta": 19, "characterist": 19, "chapter": [20, 21, 24], "130mb": 20, "urllib": 20, "urlretriev": 20, "urlopen": 20, "zipfil": 20, "dropbox": 20, "s7cx92mfh2zvt3x": 20, "hyperspy_demos_edx_sem_fil": 20, "raw": 20, "extractal": 20, "abl": 20, "among": 20, "rpl": 20, "bruker": 20, "export": 20, "ni_superalloy_1pix": 20, "record": [20, 24], "as_signal1d": 20, "back": 20, "ni_superalloy_010": 20, "256": 20, "224": 20, "wildcard": 20, "si4d": 20, "ni_superalloy_0": 20, "eds_tem": [20, 24], "eds_sem": [20, 24], "assign": [20, 21], "exist": 20, "These": [20, 23], "35": 20, "006855": 20, "eds_detector_elev": 20, "manual": [20, 21], "info": 20, "s1pixel": 20, "descript": [20, 21], "accept": 20, "sever": [20, 21], "onc": 20, "fe_la": 20, "example_sign": 20, "eds_sem_spectrum": 20, "general_properti": 20, "atomic_weight": 20, "55": [20, 21], "845": 20, "iron": 20, "physical_properti": 20, "874": 20, "atomic_properti": 20, "404": [20, 21], "0568": 20, "1272": 20, "705": 20, "lb3": 20, "792": 20, "02448": 20, "615": 20, "3086": 20, "62799": 20, "12525": 20, "nearest": 20, "get_xray_lines_near_energi": 20, "maxpeakn": 20, "ca_la": 20, "b_ka": 20, "visualis": 20, "3d": 20, "label": [20, 21, 24], "ecdlgwxjq04m5mx": 20, "hyperspy_demos_eds_tem_fil": 20, "hyperspy_demos_edx_tem_fil": 20, "core_shel": 20, "hdf5": [20, 21], "plot_imag": 20, "eds_map": 20, "axes_decor": 20, "scalebar": 20, "isig": 20, "tm001": 20, "next": [20, 21, 23], "One": 20, "65241": 20, "al_kb": 20, "ar_ka": 20, "3136": 20, "ar_kb": 20, "79258": 20, "1640": 20, "cu_kb": 20, "74032": 20, "cu_lb1": 20, "cu_ln": 20, "cu_ll": 20, "cu_lb3": 20, "47796": 20, "mn_kb": 20, "73665": 20, "mn_ln": 20, "mn_ll": 20, "mn_lb3": 20, "68703": 20, "zr_lb1": 20, "zr_lb2": 20, "zr_ln": 20, "zr_lg3": 20, "zr_ll": 20, "zr_lg1": 20, "zr_lb3": 20, "background_order_6": 20, "000000": 20, "131": 20, "927922": 20, "tune": 20, "4865": 20, "9577": 20, "2774": 20, "0478": 20, "9295": 20, "56": 20, "70": 20, "0423": 20, "75": 20, "manufactur": 20, "convers": 20, "possibl": [20, 21], "edx_cross_section_to_zeta": 20, "zeta_to_edx_cross_sect": 20, "carri": 20, "revers": 20, "acquisit": [20, 24], "dwell": [20, 24], "accur": [20, 21], "diamet": 20, "00125": 20, "high": 20, "subsequ": 20, "much": [20, 21], "illumin": [20, 24], "becom": 20, "put": [20, 21], "still": [20, 21], "messag": 20, "remind": 20, "rather": 20, "experi": 20, "additt": 20, "At": 20, "parallel": 20, "film": 20, "basi": 20, "particularli": 20, "inhomogen": 20, "system": [20, 23], "thermo": 20, "fisher": 20, "separ": [20, 21], "4161643905127": 20, "electron_rang": 20, "xray_rang": 20, "copper": 20, "micron": 20, "9361716759499248": 20, "carbon": 20, "30kv": 20, "density_gcm3": 20, "6418811280855454": 20, "8766744984001607": 20, "discuss": 21, "parent": 21, "previou": 21, "archiv": 21, "hspy": 21, "get_edges_near_energi": 21, "identifi": 21, "arrang": 21, "849": 21, "846": 21, "852": 21, "misc": [21, 24], "532": 21, "o_k": 21, "pd_m3": 21, "sb_m5": 21, "sb_m4": 21, "la_m4": 21, "fe_l1": 21, "artificial_data": 21, "get_core_loss_eels_sign": 21, "401": 21, "relev": [21, 23, 24], "n_k": 21, "abrupt": 21, "sc_l3": 21, "402": 21, "sharp": 21, "cd_m5": 21, "sc_l2": 21, "407": 21, "mo_m2": 21, "410": 21, "mo_m3": 21, "392": 21, "cd_m4": 21, "411": 21, "inspect": 21, "identif": 21, "drag": 21, "mous": 21, "button": 21, "toggl": 21, "complementari": 21, "box": 21, "tick": 21, "outsid": 21, "aid": 21, "iakoubovskii2008": 21, "inelast": 21, "imfp": 21, "unknown": 21, "robust": 21, "easi": 21, "quasi": 21, "rudimentari": 21, "wise": 21, "certain": 21, "impact": 21, "npoint": 21, "realli": 21, "boron": [21, 24], "nitrid": 21, "onlin": 21, "hexagon": 21, "worth": 21, "life": 21, "hand": 21, "plural": 21, "b_k": 21, "conveni": 21, "6599071": 21, "pooch": 21, "gosh10": 21, "url": 21, "segger_guzzinati_kohl_1": 21, "known_hash": 21, "md5": 21, "d65d5c23142532fde0a80e160ab51574": 21, "entir": 21, "elem": 21, "045648": 21, "048061": 21, "permit": 21, "easili": 21, "manifest": 21, "distinct": 21, "few": 21, "ten": 21, "due": 21, "variat": 21, "probabl": 21, "offer": 21, "insight": 21, "bond": 21, "cannot": 21, "principl": 21, "mimic": 21, "fine_structure_act": 21, "decreas": 21, "expens": 21, "fine_structure_coeff": 21, "Its": 21, "zoom": 21, "bn": 21, "let": 21, "nitrogen": [21, 24], "set_signal_rang": 21, "160": 21, "194": 21, "45": 21, "command": [21, 23], "better": 21, "closer": 21, "essenti": 21, "desir": 21, "sometim": 21, "suspend": 21, "resum": 21, "replac": [21, 23], "gaussianhf": 21, "b_k_l1": 21, "201": 21, "b_k_l2": 21, "know": 21, "would": 21, "simpli": 21, "fine_structure_compon": 21, "3rd": 21, "205": 21, "fine_structure_spline_onset": 21, "plot_compon": 21, "white": 21, "rest": 21, "pip": 22, "spectrometri": 22, "tool": 22, "bibliographi": 22, "instruct": 23, "pend": 23, "meantim": 23, "bundl": 23, "standalon": 23, "program": 23, "recommend": 23, "anyth": 23, "appropri": 23, "suggest": 23, "miniforg": 23, "alreadi": 23, "prompt": 23, "complet": 23, "troubl": 23, "especi": 23, "unfamiliar": 23, "enter": 23, "anaconda": 23, "scratch": 23, "jupyterlab": 23, "lab": 23, "upgrad": 23, "notifi": 23, "watch": 23, "tree": 24, "node": 24, "leaf": 24, "quantiti": 24, "dimensionless": 24, "_unit": 24, "suffix": 24, "besid": 24, "dictionarytreebrows": 24, "set_item": 24, "has_item": 24, "get_item": 24, "repres": 24, "diagram": 24, "parenthes": 24, "detector_typ": 24, "\u00ba": 24, "magnif": 24, "rotat": 24, "mm": 24, "working_dist": 24, "apertur": 24, "dwell_tim": 24, "exposur": 24, "frame_numb": 24, "spectromet": 24, "camera_length": 24, "compos": 24, "ni_lb": 24, "aluminum": 24, "nickel": 24, "vg": 24, "501": 24, "stem": 24, "camera": 24, "tilt": 24, "se": 24, "aperture_s": 24, "entranc": 24, "frame": 24, "gatan": 24, "enfinium": 24, "er": 24, "977": 24, "azimuth": 24, "perpendicular": 24, "elev": 24, "90": 24, "manganes": 24, "spent": 24, "compens": 24}, "objects": {"exspy": [[11, 0, 0, "-", "components"], [12, 0, 0, "-", "data"], [14, 0, 0, "-", "material"], [15, 0, 0, "-", "models"], [16, 0, 0, "-", "signals"]], "exspy.components": [[11, 1, 1, "", "DoublePowerLaw"], [11, 1, 1, "", "EELSArctan"], [11, 1, 1, "", "EELSCLEdge"], [11, 1, 1, "", "PESVoigt"], [11, 1, 1, "", "SEE"], [11, 1, 1, "", "Vignetting"], [11, 1, 1, "", "VolumePlasmonDrude"]], "exspy.components.DoublePowerLaw": [[11, 2, 1, "", "function_nd"], [11, 3, 1, "", "left_cutoff"]], "exspy.components.EELSCLEdge": [[11, 2, 1, "", "as_dictionary"], [11, 4, 1, "", "fine_structure_smoothing"], [11, 2, 1, "", "fix_fine_structure"], [11, 2, 1, "", "free_fine_structure"], [11, 2, 1, "", "function"], [11, 2, 1, "", "get_fine_structure_as_signal1D"], [11, 2, 1, "", "gui"], [11, 2, 1, "", "set_microscope_parameters"]], "exspy.components.PESVoigt": [[11, 2, 1, "", "estimate_parameters"]], "exspy.data": [[12, 5, 1, "", "EDS_SEM_TM002"], [12, 5, 1, "", "EDS_TEM_FePt_nanoparticles"], [12, 5, 1, "", "EELS_MnFe"], [12, 5, 1, "", "EELS_low_loss"], [12, 5, 1, "", "eelsdb"]], "exspy.material": [[14, 5, 1, "", "atomic_to_weight"], [14, 5, 1, "", "density_of_mixture"], [14, 5, 1, "", "mass_absorption_coefficient"], [14, 5, 1, "", "mass_absorption_mixture"], [14, 5, 1, "", "weight_to_atomic"]], "exspy.models": [[15, 1, 1, "", "EDSModel"], [15, 1, 1, "", "EDSSEMModel"], [15, 1, 1, "", "EDSTEMModel"], [15, 1, 1, "", "EELSModel"]], "exspy.models.EDSModel": [[15, 2, 1, "", "add_family_lines"], [15, 2, 1, "", "add_polynomial_background"], [15, 2, 1, "", "as_dictionary"], [15, 2, 1, "", "calibrate_energy_axis"], [15, 2, 1, "", "calibrate_xray_lines"], [15, 2, 1, "", "disable_xray_lines"], [15, 2, 1, "", "enable_xray_lines"], [15, 2, 1, "", "fit_background"], [15, 2, 1, "", "fix_background"], [15, 2, 1, "", "fix_sub_xray_lines_weight"], [15, 2, 1, "", "fix_xray_lines_energy"], [15, 2, 1, "", "fix_xray_lines_width"], [15, 2, 1, "", "free_background"], [15, 2, 1, "", "free_sub_xray_lines_weight"], [15, 2, 1, "", "free_xray_lines_energy"], [15, 2, 1, "", "free_xray_lines_width"], [15, 2, 1, "", "get_lines_intensity"], [15, 2, 1, "", "remove"]], "exspy.models.EELSModel": [[15, 2, 1, "", "append"], [15, 2, 1, "", "disable_background"], [15, 2, 1, "", "disable_edges"], [15, 2, 1, "", "disable_fine_structure"], [15, 2, 1, "", "disable_free_onset_energy"], [15, 2, 1, "", "enable_background"], [15, 2, 1, "", "enable_edges"], [15, 2, 1, "", "enable_fine_structure"], [15, 2, 1, "", "enable_free_onset_energy"], [15, 2, 1, "", "fit"], [15, 2, 1, "", "fit_background"], [15, 2, 1, "", "fix_edges"], [15, 2, 1, "", "fix_fine_structure"], [15, 2, 1, "", "free_edges"], [15, 2, 1, "", "free_fine_structure"], [15, 2, 1, "", "quantify"], [15, 2, 1, "", "remove"], [15, 2, 1, "", "remove_fine_structure_data"], [15, 2, 1, "", "resolve_fine_structure"], [15, 2, 1, "", "resume_auto_fine_structure_width"], [15, 2, 1, "", "set_all_edges_intensities_positive"], [15, 2, 1, "", "set_convolution_axis"], [15, 4, 1, "", "signal"], [15, 2, 1, "", "smart_fit"], [15, 2, 1, "", "suspend_auto_fine_structure_width"], [15, 2, 1, "", "two_area_background_estimation"], [15, 2, 1, "", "unset_all_edges_intensities_positive"]], "exspy.signals": [[16, 1, 1, "", "DielectricFunction"], [16, 1, 1, "", "EDSSEMSpectrum"], [16, 1, 1, "", "EDSSpectrum"], [16, 1, 1, "", "EDSTEMSpectrum"], [16, 1, 1, "", "EELSSpectrum"], [16, 1, 1, "", "LazyDielectricFunction"], [16, 1, 1, "", "LazyEDSSEMSpectrum"], [16, 1, 1, "", "LazyEDSSpectrum"], [16, 1, 1, "", "LazyEDSTEMSpectrum"], [16, 1, 1, "", "LazyEELSSpectrum"]], "exspy.signals.DielectricFunction": [[16, 2, 1, "", "get_electron_energy_loss_spectrum"], [16, 2, 1, "", "get_number_of_effective_electrons"]], "exspy.signals.EDSSEMSpectrum": [[16, 2, 1, "", "create_model"], [16, 2, 1, "", "get_calibration_from"], [16, 2, 1, "", "set_microscope_parameters"]], "exspy.signals.EDSSpectrum": [[16, 2, 1, "", "add_elements"], [16, 2, 1, "", "add_lines"], [16, 2, 1, "", "add_xray_lines_markers"], [16, 2, 1, "", "estimate_background_windows"], [16, 2, 1, "", "estimate_integration_windows"], [16, 2, 1, "", "get_lines_intensity"], [16, 2, 1, "", "get_take_off_angle"], [16, 2, 1, "", "plot"], [16, 2, 1, "", "rebin"], [16, 2, 1, "", "remove_xray_lines_markers"], [16, 2, 1, "", "set_elements"], [16, 2, 1, "", "set_lines"], [16, 2, 1, "", "sum"]], "exspy.signals.EDSTEMSpectrum": [[16, 2, 1, "", "CL_get_mass_thickness"], [16, 2, 1, "", "create_model"], [16, 2, 1, "", "decomposition"], [16, 2, 1, "", "get_calibration_from"], [16, 2, 1, "", "get_probe_area"], [16, 2, 1, "", "quantification"], [16, 2, 1, "", "set_microscope_parameters"], [16, 2, 1, "", "vacuum_mask"]], "exspy.signals.EELSSpectrum": [[16, 2, 1, "", "add_elements"], [16, 2, 1, "", "align_zero_loss_peak"], [16, 2, 1, "", "create_model"], [16, 2, 1, "", "edges_at_energy"], [16, 2, 1, "", "estimate_elastic_scattering_intensity"], [16, 2, 1, "", "estimate_elastic_scattering_threshold"], [16, 2, 1, "", "estimate_thickness"], [16, 2, 1, "", "estimate_zero_loss_peak_centre"], [16, 2, 1, "", "fourier_log_deconvolution"], [16, 2, 1, "", "fourier_ratio_deconvolution"], [16, 2, 1, "", "generate_subshells"], [16, 2, 1, "", "get_zero_loss_peak_mask"], [16, 2, 1, "", "kramers_kronig_analysis"], [16, 2, 1, "", "plot"], [16, 2, 1, "", "power_law_extrapolation"], [16, 2, 1, "", "print_edges_near_energy"], [16, 2, 1, "", "rebin"], [16, 2, 1, "", "richardson_lucy_deconvolution"], [16, 2, 1, "", "set_microscope_parameters"], [16, 2, 1, "", "spikes_diagnosis"], [16, 2, 1, "", "spikes_removal_tool"], [16, 2, 1, "", "vacuum_mask"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:attribute", "4": "py:property", "5": "py:function"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "attribute", "Python attribute"], "4": ["py", "property", "Python property"], "5": ["py", "function", "Python function"]}, "titleterms": {"galleri": 0, "exampl": 0, "model": [0, 2, 15, 21], "fit": [0, 1, 2, 5, 20, 21], "eel": [1, 21, 24], "curv": [1, 20, 21], "plot": [3, 20], "residu": 3, "comput": [4, 6, 17, 19], "time": [4, 6, 17], "simpl": 5, "arctan": 5, "changelog": 7, "unreleas": 7, "2024": 7, "04": 7, "09": 7, "bug": 7, "fix": 7, "improv": 7, "document": [7, 8, 9, 10], "mainten": 7, "0": 7, "1": [7, 23], "2023": 7, "12": 7, "03": 7, "new": [7, 8, 23], "featur": 7, "enhanc": 7, "initi": 7, "10": 7, "28": 7, "contribut": 8, "issu": 8, "pull": 8, "request": 8, "review": 8, "code": 8, "style": 8, "write": 8, "test": 8, "releas": 8, "version": 8, "welcom": [9, 10], "exspi": [9, 10, 11, 12, 14, 15, 16, 24], "learn": [9, 10], "resourc": [9, 10], "cite": [9, 10], "citat": [9, 10], "scientif": [9, 10], "literatur": [9, 10], "licens": [9, 10], "compon": 11, "data": [12, 20, 21], "refer": 13, "materi": 14, "signal": [16, 19, 24], "bibliographi": 18, "dielectr": 19, "function": 19, "tool": [19, 21], "number": 19, "effect": 19, "electron": [19, 20, 21], "energi": [19, 20, 21], "loss": [19, 21], "dispers": 20, "x": 20, "rai": 20, "spectrometri": 20, "ed": [20, 24], "spectrum": 20, "load": 20, "paramet": 20, "microscop": 20, "detector": [20, 24], "axi": 20, "copi": 20, "calibr": 20, "describ": 20, "sampl": [20, 21, 24], "element": [20, 21], "line": 20, "databas": 20, "find": 20, "from": 20, "get": [20, 23], "intens": [20, 21], "an": 20, "background": 20, "subtract": 20, "quantif": 20, "absorpt": 20, "correct": 20, "util": 20, "mass": 20, "coeffici": 20, "rang": 20, "spectroscopi": 21, "analysi": 21, "composit": 21, "thick": 21, "estim": 21, "zero": 21, "peak": 21, "centr": 21, "align": 21, "deconvolut": 21, "elast": 21, "scatter": 21, "kramer": 21, "kronig": 21, "creat": [21, 23], "generalis": 21, "oscil": 21, "strength": 21, "fine": 21, "structur": [21, 24], "user": 22, "guid": 22, "instal": 23, "us": 23, "conda": 23, "environ": 23, "2": 23, "packag": 23, "3": 23, "start": 23, "pip": 23, "updat": 23, "metadata": 24, "gener": 24, "acquisition_instru": 24, "tem": 24, "sem": 24, "stage": 24}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx": 60}, "alltitles": {"Gallery of Examples": [[0, "gallery-of-examples"]], "Model fitting": [[0, "model-fitting"], [2, "model-fitting"]], "EELS curve fitting": [[1, "eels-curve-fitting"], [21, "eels-curve-fitting"]], "Plot Residual": [[3, "plot-residual"]], "Computation times": [[4, "computation-times"], [6, "computation-times"], [17, "computation-times"]], "Simple arctan fit": [[5, "simple-arctan-fit"]], "Changelog": [[7, "changelog"]], " [UNRELEASED] (2024-04-09)": [[7, "release-unreleased-2024-04-09"]], "Bug Fixes": [[7, "bug-fixes"]], "Improved Documentation": [[7, "improved-documentation"]], "Maintenance": [[7, "maintenance"], [7, "id8"]], "0.1 (2023-12-03)": [[7, "id6"]], "New features": [[7, "new-features"]], "Enhancements": [[7, "enhancements"]], "Initiation (2023-10-28)": [[7, "initiation-2023-10-28"]], "Contributing": [[8, "contributing"]], "Issues": [[8, "issues"]], "Pull Requests": [[8, "pull-requests"]], "Reviewing": [[8, "reviewing"]], "Documentation": [[8, "documentation"]], "Code style": [[8, "code-style"]], "Writing tests": [[8, "writing-tests"]], "Releasing a new version": [[8, "releasing-a-new-version"]], "Welcome to the documentation of eXSpy!": [[9, "welcome-to-the-documentation-of-exspy"], [10, "welcome-to-the-documentation-of-exspy"]], "Learning resources": [[9, "learning-resources"], [10, "learning-resources"]], "Citing eXSpy": [[9, "citing-exspy"], [10, "citing-exspy"]], "Citation in the scientific literature": [[9, "citation-in-the-scientific-literature"], [10, "citation-in-the-scientific-literature"]], "License": [[9, "license"], [10, "license"]], "exspy.components": [[11, "exspy-components"]], "exspy.data": [[12, "exspy-data"]], "Reference": [[13, "reference"], [13, null]], "exspy.material": [[14, "exspy-material"]], "exspy.models": [[15, "exspy-models"]], "exspy.signals": [[16, "exspy-signals"]], "Bibliography": [[18, "bibliography"]], "Dielectric function tools": [[19, "dielectric-function-tools"]], "Number of effective electrons": [[19, "number-of-effective-electrons"]], "Compute the electron energy-loss signal": [[19, "compute-the-electron-energy-loss-signal"]], "Energy-Dispersive X-ray Spectrometry (EDS)": [[20, "energy-dispersive-x-ray-spectrometry-eds"]], "Spectrum loading and parameters": [[20, "spectrum-loading-and-parameters"]], "Loading data": [[20, "loading-data"]], "Microscope and detector parameters": [[20, "microscope-and-detector-parameters"]], "Energy axis": [[20, "energy-axis"]], "Copying spectrum calibration": [[20, "copying-spectrum-calibration"]], "Describing the sample": [[20, "describing-the-sample"]], "Elements": [[20, "elements"]], "X-ray lines": [[20, "x-ray-lines"]], "Elemental database": [[20, "elemental-database"]], "Finding elements from energy": [[20, "finding-elements-from-energy"]], "Plotting": [[20, "plotting"]], "Plotting X-ray lines": [[20, "plotting-x-ray-lines"]], "Getting the intensity of an X-ray line": [[20, "getting-the-intensity-of-an-x-ray-line"]], "Background subtraction": [[20, "background-subtraction"]], "EDS curve fitting": [[20, "eds-curve-fitting"]], "EDS Quantification": [[20, "eds-quantification"]], "Absorption Correction": [[20, "absorption-correction"]], "Utils": [[20, "utils"]], "Mass absorption coefficient database": [[20, "mass-absorption-coefficient-database"]], "Electron and X-ray range": [[20, "electron-and-x-ray-range"]], "Electron Energy Loss Spectroscopy": [[21, "electron-energy-loss-spectroscopy"]], "Tools for EELS data analysis": [[21, "tools-for-eels-data-analysis"]], "Elemental composition of the sample": [[21, "elemental-composition-of-the-sample"]], "Thickness estimation": [[21, "thickness-estimation"]], "Zero-loss peak centre and alignment": [[21, "zero-loss-peak-centre-and-alignment"]], "Deconvolutions": [[21, "deconvolutions"]], "Estimate elastic scattering intensity": [[21, "estimate-elastic-scattering-intensity"]], "Kramers-Kronig Analysis": [[21, "kramers-kronig-analysis"]], "Creating model": [[21, "creating-model"]], "Generalised Oscillator Strengths": [[21, "generalised-oscillator-strengths"]], "Fitting model": [[21, "fitting-model"]], "Fine structure analysis": [[21, "fine-structure-analysis"], [21, "id1"]], "User Guide": [[22, "user-guide"]], "Installation": [[23, "installation"]], "Installation using conda": [[23, "installation-using-conda"]], "1. Creating a conda environment": [[23, "creating-a-conda-environment"]], "2. Installing the package in the new environment": [[23, "installing-the-package-in-the-new-environment"]], "3. Getting Started": [[23, "getting-started"]], "Installation using pip": [[23, "installation-using-pip"]], "Updating the package": [[23, "updating-the-package"]], "eXSpy Metadata Structure": [[24, "exspy-metadata-structure"]], "General": [[24, "general"]], "Sample": [[24, "sample"]], "Signal": [[24, "signal"]], "Acquisition_instrument": [[24, "acquisition-instrument"]], "TEM": [[24, "tem"]], "SEM": [[24, "sem"]], "Stage": [[24, "stage"]], "Detector": [[24, "detector"]], "EELS": [[24, "eels"]], "EDS": [[24, "eds"]]}, "indexentries": {"doublepowerlaw (class in exspy.components)": [[11, "exspy.components.DoublePowerLaw"]], "eelsarctan (class in exspy.components)": [[11, "exspy.components.EELSArctan"]], "eelscledge (class in exspy.components)": [[11, "exspy.components.EELSCLEdge"]], "pesvoigt (class in exspy.components)": [[11, "exspy.components.PESVoigt"]], "see (class in exspy.components)": [[11, "exspy.components.SEE"]], "vignetting (class in exspy.components)": [[11, "exspy.components.Vignetting"]], "volumeplasmondrude (class in exspy.components)": [[11, "exspy.components.VolumePlasmonDrude"]], "as_dictionary() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.as_dictionary"]], "estimate_parameters() (exspy.components.pesvoigt method)": [[11, "exspy.components.PESVoigt.estimate_parameters"]], "exspy.components": [[11, "module-exspy.components"]], "fine_structure_smoothing (exspy.components.eelscledge property)": [[11, "exspy.components.EELSCLEdge.fine_structure_smoothing"]], "fix_fine_structure() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.fix_fine_structure"]], "free_fine_structure() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.free_fine_structure"]], "function() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.function"]], "function_nd() (exspy.components.doublepowerlaw method)": [[11, "exspy.components.DoublePowerLaw.function_nd"]], "get_fine_structure_as_signal1d() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.get_fine_structure_as_signal1D"]], "gui() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.gui"]], "left_cutoff (exspy.components.doublepowerlaw attribute)": [[11, "exspy.components.DoublePowerLaw.left_cutoff"]], "module": [[11, "module-exspy.components"], [12, "module-exspy.data"], [14, "module-exspy.material"], [15, "module-exspy.models"], [16, "module-exspy.signals"]], "set_microscope_parameters() (exspy.components.eelscledge method)": [[11, "exspy.components.EELSCLEdge.set_microscope_parameters"]], "eds_sem_tm002() (in module exspy.data)": [[12, "exspy.data.EDS_SEM_TM002"]], "eds_tem_fept_nanoparticles() (in module exspy.data)": [[12, "exspy.data.EDS_TEM_FePt_nanoparticles"]], "eels_mnfe() (in module exspy.data)": [[12, "exspy.data.EELS_MnFe"]], "eels_low_loss() (in module exspy.data)": [[12, "exspy.data.EELS_low_loss"]], "eelsdb() (in module exspy.data)": [[12, "exspy.data.eelsdb"]], "exspy.data": [[12, "module-exspy.data"]], "atomic_to_weight() (in module exspy.material)": [[14, "exspy.material.atomic_to_weight"]], "density_of_mixture() (in module exspy.material)": [[14, "exspy.material.density_of_mixture"]], "exspy.material": [[14, "module-exspy.material"]], "mass_absorption_coefficient() (in module exspy.material)": [[14, "exspy.material.mass_absorption_coefficient"]], "mass_absorption_mixture() (in module exspy.material)": [[14, "exspy.material.mass_absorption_mixture"]], "weight_to_atomic() (in module exspy.material)": [[14, "exspy.material.weight_to_atomic"]], "edsmodel (class in exspy.models)": [[15, "exspy.models.EDSModel"]], "edssemmodel (class in exspy.models)": [[15, "exspy.models.EDSSEMModel"]], "edstemmodel (class in exspy.models)": [[15, "exspy.models.EDSTEMModel"]], "eelsmodel (class in exspy.models)": [[15, "exspy.models.EELSModel"]], "add_family_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.add_family_lines"]], "add_polynomial_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.add_polynomial_background"]], "append() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.append"]], "as_dictionary() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.as_dictionary"]], "calibrate_energy_axis() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.calibrate_energy_axis"]], "calibrate_xray_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.calibrate_xray_lines"]], "disable_background() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_background"]], "disable_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_edges"]], "disable_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_fine_structure"]], "disable_free_onset_energy() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.disable_free_onset_energy"]], "disable_xray_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.disable_xray_lines"]], "enable_background() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_background"]], "enable_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_edges"]], "enable_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_fine_structure"]], "enable_free_onset_energy() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.enable_free_onset_energy"]], "enable_xray_lines() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.enable_xray_lines"]], "exspy.models": [[15, "module-exspy.models"]], "fit() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fit"]], "fit_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fit_background"]], "fit_background() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fit_background"]], "fix_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_background"]], "fix_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fix_edges"]], "fix_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.fix_fine_structure"]], "fix_sub_xray_lines_weight() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_sub_xray_lines_weight"]], "fix_xray_lines_energy() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_xray_lines_energy"]], "fix_xray_lines_width() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.fix_xray_lines_width"]], "free_background() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_background"]], "free_edges() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.free_edges"]], "free_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.free_fine_structure"]], "free_sub_xray_lines_weight() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_sub_xray_lines_weight"]], "free_xray_lines_energy() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_xray_lines_energy"]], "free_xray_lines_width() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.free_xray_lines_width"]], "get_lines_intensity() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.get_lines_intensity"]], "quantify() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.quantify"]], "remove() (exspy.models.edsmodel method)": [[15, "exspy.models.EDSModel.remove"]], "remove() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.remove"]], "remove_fine_structure_data() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.remove_fine_structure_data"]], "resolve_fine_structure() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.resolve_fine_structure"]], "resume_auto_fine_structure_width() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.resume_auto_fine_structure_width"]], "set_all_edges_intensities_positive() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.set_all_edges_intensities_positive"]], "set_convolution_axis() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.set_convolution_axis"]], "signal (exspy.models.eelsmodel property)": [[15, "exspy.models.EELSModel.signal"]], "smart_fit() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.smart_fit"]], "suspend_auto_fine_structure_width() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.suspend_auto_fine_structure_width"]], "two_area_background_estimation() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.two_area_background_estimation"]], "unset_all_edges_intensities_positive() (exspy.models.eelsmodel method)": [[15, "exspy.models.EELSModel.unset_all_edges_intensities_positive"]], "cl_get_mass_thickness() (exspy.signals.edstemspectrum static method)": [[16, "exspy.signals.EDSTEMSpectrum.CL_get_mass_thickness"]], "dielectricfunction (class in exspy.signals)": [[16, "exspy.signals.DielectricFunction"]], "edssemspectrum (class in exspy.signals)": [[16, "exspy.signals.EDSSEMSpectrum"]], "edsspectrum (class in exspy.signals)": [[16, "exspy.signals.EDSSpectrum"]], "edstemspectrum (class in exspy.signals)": [[16, "exspy.signals.EDSTEMSpectrum"]], "eelsspectrum (class in exspy.signals)": [[16, "exspy.signals.EELSSpectrum"]], "lazydielectricfunction (class in exspy.signals)": [[16, "exspy.signals.LazyDielectricFunction"]], "lazyedssemspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEDSSEMSpectrum"]], "lazyedsspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEDSSpectrum"]], "lazyedstemspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEDSTEMSpectrum"]], "lazyeelsspectrum (class in exspy.signals)": [[16, "exspy.signals.LazyEELSSpectrum"]], "add_elements() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.add_elements"]], "add_elements() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.add_elements"]], "add_lines() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.add_lines"]], "add_xray_lines_markers() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.add_xray_lines_markers"]], "align_zero_loss_peak() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.align_zero_loss_peak"]], "create_model() (exspy.signals.edssemspectrum method)": [[16, "exspy.signals.EDSSEMSpectrum.create_model"]], "create_model() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.create_model"]], "create_model() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.create_model"]], "decomposition() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.decomposition"]], "edges_at_energy() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.edges_at_energy"]], "estimate_background_windows() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.estimate_background_windows"]], "estimate_elastic_scattering_intensity() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_elastic_scattering_intensity"]], "estimate_elastic_scattering_threshold() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_elastic_scattering_threshold"]], "estimate_integration_windows() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.estimate_integration_windows"]], "estimate_thickness() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_thickness"]], "estimate_zero_loss_peak_centre() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.estimate_zero_loss_peak_centre"]], "exspy.signals": [[16, "module-exspy.signals"]], "fourier_log_deconvolution() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.fourier_log_deconvolution"]], "fourier_ratio_deconvolution() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.fourier_ratio_deconvolution"]], "generate_subshells() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.generate_subshells"]], "get_calibration_from() (exspy.signals.edssemspectrum method)": [[16, "exspy.signals.EDSSEMSpectrum.get_calibration_from"]], "get_calibration_from() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.get_calibration_from"]], "get_electron_energy_loss_spectrum() (exspy.signals.dielectricfunction method)": [[16, "exspy.signals.DielectricFunction.get_electron_energy_loss_spectrum"]], "get_lines_intensity() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.get_lines_intensity"]], "get_number_of_effective_electrons() (exspy.signals.dielectricfunction method)": [[16, "exspy.signals.DielectricFunction.get_number_of_effective_electrons"]], "get_probe_area() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.get_probe_area"]], "get_take_off_angle() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.get_take_off_angle"]], "get_zero_loss_peak_mask() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.get_zero_loss_peak_mask"]], "kramers_kronig_analysis() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.kramers_kronig_analysis"]], "plot() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.plot"]], "plot() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.plot"]], "power_law_extrapolation() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.power_law_extrapolation"]], "print_edges_near_energy() (exspy.signals.eelsspectrum static method)": [[16, "exspy.signals.EELSSpectrum.print_edges_near_energy"]], "quantification() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.quantification"]], "rebin() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.rebin"]], "rebin() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.rebin"]], "remove_xray_lines_markers() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.remove_xray_lines_markers"]], "richardson_lucy_deconvolution() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.richardson_lucy_deconvolution"]], "set_elements() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.set_elements"]], "set_lines() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.set_lines"]], "set_microscope_parameters() (exspy.signals.edssemspectrum method)": [[16, "exspy.signals.EDSSEMSpectrum.set_microscope_parameters"]], "set_microscope_parameters() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.set_microscope_parameters"]], "set_microscope_parameters() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.set_microscope_parameters"]], "spikes_diagnosis() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.spikes_diagnosis"]], "spikes_removal_tool() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.spikes_removal_tool"]], "sum() (exspy.signals.edsspectrum method)": [[16, "exspy.signals.EDSSpectrum.sum"]], "vacuum_mask() (exspy.signals.edstemspectrum method)": [[16, "exspy.signals.EDSTEMSpectrum.vacuum_mask"]], "vacuum_mask() (exspy.signals.eelsspectrum method)": [[16, "exspy.signals.EELSSpectrum.vacuum_mask"]]}})
\ No newline at end of file
diff --git a/sg_execution_times.html b/sg_execution_times.html
index 524decfff..f0133eaba 100644
--- a/sg_execution_times.html
+++ b/sg_execution_times.html
@@ -426,7 +426,7 @@
                   
   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>00:34.450</strong> total execution time for 3 files <strong>from all galleries</strong>:</p>
+<p><strong>00:09.148</strong> total execution time for 3 files <strong>from all galleries</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -448,15 +448,15 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/model_fitting/EELS_curve_fitting.html#sphx-glr-auto-examples-model-fitting-eels-curve-fitting-py"><span class="std std-ref">EELS curve fitting</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/model_fitting/EELS_curve_fitting.py</span></code>)</p></td>
-<td><p>00:33.528</p></td>
+<td><p>00:08.262</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/model_fitting/plot_residual.html#sphx-glr-auto-examples-model-fitting-plot-residual-py"><span class="std std-ref">Plot Residual</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/model_fitting/plot_residual.py</span></code>)</p></td>
-<td><p>00:00.553</p></td>
+<td><p>00:00.562</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/model_fitting/simple_arctan_fit.html#sphx-glr-auto-examples-model-fitting-simple-arctan-fit-py"><span class="std std-ref">Simple arctan fit</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/model_fitting/simple_arctan_fit.py</span></code>)</p></td>
-<td><p>00:00.369</p></td>
+<td><p>00:00.323</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>