From e0428f507d06b05b7819b6056f59b641ad26b7ba Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Tue, 9 Apr 2024 09:07:45 +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 25895 -> 26040 bytes
 _images/sphx_glr_simple_arctan_fit_thumb.png  | Bin 27317 -> 27068 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     | 194 ++++++++++++++++--
 .../model_fitting/plot_residual.html          |   6 +-
 .../model_fitting/sg_execution_times.html     |   8 +-
 .../model_fitting/simple_arctan_fit.html      |   8 +-
 searchindex.js                                |   2 +-
 sg_execution_times.html                       |   8 +-
 16 files changed, 206 insertions(+), 56 deletions(-)

diff --git a/.buildinfo b/.buildinfo
index 5ad852eb6..0f3685693 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: 5dc3cbe299fe605faf02ff19d5bc1c37
+config: 0dd634e1191296fb7f8b3426a69f3585
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
index 2248c8e3f0f4f164cfe735b2911a2c18045134d7..c908887ad736ff28dcfed2f47f2967679a961610 100644
GIT binary patch
delta 58
zcmbOxG);&nz?+#xgaHIDcx>b`U}AdevDuEvmzn8;$L3zvNlZX`vLc5+P<V0?haZS{
Hh$935wy_ZT

delta 58
zcmbOxG);&nz?+#xgaHKF?KbilFfn!8ZMI|bWoBx(+uX}Ki3vzgR^;#p3QsQL@B{G<
HafAQ>gjNpa

diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
index 8ef2e8200fb57973812e22a866aef2843f94cc5a..60532ae8d5c21ffba8a2d757afd499520b376b1f 100644
GIT binary patch
delta 58
zcmX?VaMXY&z?+#xgaHJedTiwJU}bvdu{n%2kB#Yq$L3?)_1sKPJtn)02LXjA&lV2^
KicWqf9u5HYxf1^X

delta 58
zcmX?VaMXY&z?+#xgaHJ)?KbjwurhVqZ4P72V`FN!+kA|>o*T%Y>@FSzqGpQ+0!1gk
H6AuRfzWxx$

diff --git a/_images/sphx_glr_simple_arctan_fit_001.png b/_images/sphx_glr_simple_arctan_fit_001.png
index 864f8ce8504f83050e81efa1cd3d85d324fb9553..97bba3b121b0cc1f3776a7915bde8ed4966630b4 100644
GIT binary patch
literal 26040
zcma&OWk4106E?hnG!hDeG$@K7q0%5A9>OA&?k?#Tqy!W}KvY6XLZw5xJ5(eT=@bN{
zL0amaJ^udnet4eegL>Svd+!|+*UVgVo+>NKA19$FK@jBl4F$|y1i|$~5S$4j0=Odh
zb>t`fBkCfn>2lBB+{N9<$qcz;<l<ms?_y(R%<5+5<ZNYccZFAkSKuP6rHhM$vlt(r
z?Z0o}wRf`MW8paC3WE?kC}=q&2!#>)2PZ=+-3md>IBsCBsd^+VjXrpI((I6Mwd?F0
z&earMd@Fya=<C$nPj0Ru)UWU(dB1N;SG%hyo2qE|(>S!?Nx0$5s$imTVV+MBe$Gs0
z=X&IdBg&;reqkfkB5rnDUP0j-<4e;Q=~j{}{oMJ*FGZ7H-?;L|=gsS<?17Z5?Ck8R
z1t~8_5%|DP!b>2HUf^#+6fhVJwK*N~G&nf8kqnQOii%1l)(AO^-gSk{55C11J;r$s
z-*SH8M^3=kL8t$pAAWl?TRqodrDpr4*4C>F_mVk7UYR|q3?QU1uJ^-HP*Cto<<zWj
z;*i{#z~c;glqMfR@Nl=pc6@W8pW@)p=F3qs_BohY<H%Tzmtz}~JFB1|&DXDAEx)GX
z|Jh!N5FUSc&#gyhELAp?-)qYz)3$sz$*aJ9MgR62NhTKW4XV7#d9L)SgITGg211sH
z$)2?w92~I{4=z`_%sq;Yr8~>Pk>a(z?6JSr78w(huCnlyQ<<7A@cAea`wNq{aHjIZ
zKMRpBUOe(zt|07)6Kwim(ze<mJU-E#a(!p1Y&>U5T~$>&y@w69>eo`jWiyiZiisi0
zd*zjzeL5fP$7_>ShY~Jub6<z0tSuIG84nd(_5JAW?aj!_l2KKCRU+2^?iQ_p^>-qj
zQkylA@vJPajm5!}M|<N(4qaEblVNI{7cMmL)$Kp(&DJm(EHvxmivMaE_|+2Q;^M-p
z{`G#eTc(y$YULN!Djdw&u8p~#$mh@f^s3z0E?xS%Tyn*tbKroPhK8m&x>ui;S6BM>
z?PrVT8Nb_Dd=cp|@9h4Cl>P<pq?ON6+-p-2Qj_pU&dsfK^#1hpbVg22@u3|*ogx3K
z@^#hW0@7H{XG~%)M2X_=c~q20@{O10-0H-W@GM0m7PIqf8%-jvK5h+TICJR|6~)yJ
zN-l106=h|=s+C%X<Maa30R+eS9VanWBx7IG<Wo3F^dC&qe2Ehz&CJZq(8y=LeB}yk
zm!#T~LAe8)=f*F8&&~N1qo&7nqE2VSnZ#!tD@R6jCI0+M`_-L-H{YB6<n7zD&*(0t
z%Dw9>4A&{MYe|cc3^{ivZlbWAx2U$(ZdA<F+?<`4mwat)?c>Lf^&lTeEcc!JeL2_c
z?0BhV{ZlzDd$VYe<if%eT~bF9=qm#Qk2N<pPgE}CHO+LyFGbr|g^fL!WqSMW9UB)H
z$?4Ol2TJb847;MIeD~fx97O5r=Bv@)OkFrOFp|&iG_B2OW$%!>`|Kxln-GT%!T#?a
zJYr(>FbB6K2MNN0oE)-<t6OyRg4TiM<sxLKFCROvm;ee8d)e$}n3eC|lJJPvN{zzp
z+ZY)cT)7D5uy5b)Rz2u^BgG;-;(!+?VD%^?gY#{A`V@$sTUA(a<LM)wGbARkhXWPP
z=eL%IpYZBc?g&JHl%{GGna7H`a@Fq6FjTL1io>AIu#wL}mQP<XH(VMj@z|Y?`3llE
z;=MiU*2AY+fV8x<>?{}@h5Y{QR1I=p{^KzNs!9U3L*J*J(v{wXgKm*)X=#-o9qz4x
z2u*+{V8&~`QPB}QUUI6+ZK)C7!SD1_LDy~2OvH18bIfPYb^}ydR8%y>pssdwCqnWM
zC%v%Uv)MPk%pj16A-T%-s5^_8`|`8&H$L=FpFZ7zp+EQ>c$!*RObuGRku@@63uloE
zhxOnf#wI2>h^(w^tgt<^To`>2A+rZMYY#9l{0<Y+4`HZZV>MNyziD~211BeqB{sUR
zD^ufx8Z^U}g*QE+s9Jnccd#`a85<kCHq~bGJwt^~!1B54Zn$|@QW)$TyO7YSF3G)%
zNcreiv|)u|1MdD5%hBo|_6Rr`+FLQaEqd;wLHaeGMhktpbP^r~?Q2Dah252|_p5g%
zLw9~WVd1wQlMt}_c8srP<ArNN*|-k_XiV#Kw(ExcbOoN9)~FQozrKy`^t{?$aN{G^
z)PfSDCIZmJApLyW8n5kBC(kQVA8q>{od+el|13T(j%&GMmU&@ieYT4hX|DIj3;JYQ
zNWL;!Ri;cWE3v=Y)Mq4@rh@J{`;{v_Vv8Rm&*1ujS|y42?3cUlz#O;{bh$cD?j%WQ
z4fyCXUG-G`wdr}u`;SYN(DG=N1|8XB`X;8R=;%JWQs-Gk9O;Xi1<9>q`d&*Vjg|u1
zPiU#BgF$4!7Fj5%sH>X`vkco_@>n&DjEmDY(SmoYs;Ukg7xz7^wj3(XEMKYJ%W1ke
z45sTwg1CF9*nUx$<VmC%^ma5a-Rw_{fzO~_xmis(qo^@cUxl+p)xngal~pF_b^yW(
zy46y%J;puewQ|+*&&C}6l-P3BXq7uDVmwmr=r%P92Z8GcHry%9%C_t&r3@K^&~32e
zy_PT2{P74wglvZfj<<jLqFR%LaXnq-_q0*-=<whJtO`{)udT&~FR!m$0%<9>{E7>{
z>8@bJC6m?xH9ya-MPjyNt<O%IFum_zaO_pn__6w<N$@?3m<y+Nv8B<$!F+bUTvyW7
z4{l4^G3~k^jPY-uJ6Tv*=&-e@wU7n^YT2Ks7nY|gzd7Gqbf~MQ7PP<ru-JC^6e`sq
z8P?B^>hUNB60ejwPRUWz(wcmGdqa@dPWj&Po`uceXU~oyvA55`hLOvqQEBM8M)gb|
z?RNRff$7YtGjJbuMJ8Ol2(H(7ZmxnbPiCek;Tq;W4nKW`;M1p1bmDFoxwyD=6{|pX
zkeRHkToC5Ugc*2k>D~d@wCg@Tk|7}>i$kU=nwr5y7F{4JC!bKT$Qc=>{E0e4auOW9
z5$~BZc--na^}Fk{YoqStKjzZk$T>P*S}va=|M~N$M}i~=N6Ydy7)nICJ(}k}nUwG0
z!?3yGlKUDantNMIqxzy=s}t9V*t+xd#0Bg|2A0<r^6UD_{aRGCv`#1a9zH0x89bq)
zqGI_yg9^0*j~?Ns8>P4|^tsjPbo#HC3^O8<`>WSo7W$5ZlUKNTQ)a3)?1Om+eR{k5
zNNY6zFB>m{TVNZ_I}@G)RG9qrH4W8$@WzDI;Bh^E1kvg$#>B^yCMs%}#FyF*_e~2}
z_Z`6`TJH#t2BHrC+__Z8saB7f*A|E$&hwANNq7nv#P8!r1yfT~R#^Vha9JA+`@v@L
z^6eyv!6lcxymPKXx|S{sv@bs$lT|4I-;&<$=$aSbGVsCV5^TUT24Qm0+S0MJ4}N}(
z1l1O7Ez9M#GWyXNRK7jtb;;$Ivc%^1dzRnc5^s23)ql7qd%wJR+M3~h$<>3XxVVtL
z<tmD%$H%Y73)!xM?He9-Yc)vfJAy@(ueCCK{a_+ry)|^-a<Gtt{mdCu_P}qp&q;ES
zxWkdD227hboL5RB+bJYxme4dA02Rp5$Ps%P9ZkS?OuNi34BUcO&6nx+n5iVM<p%K7
z)=cX9`r)wkYCY-i-r*o{!)&S3be6cs?(b>Kp7+Pqb2N>F!_y0x6to}e$b<MjkB*+%
z;#&UxT@?hBQPin9@6Ua&t{e8b`Ze?bE;LK5qx4F;domHsk7s)I7$ckYnGVHlh3NGa
zF_&MIt3o-t6(_*c6&xO-LN#n(*TPdaGU*ftpO`#r#^yRwf+#<Bb-7pFuF*FzsRU4W
z5-?KMkc449(%jPWqlMN0^WedQuxTA|&>~Ad#j3?NZD7UiQLR>Mr$7(37smrsQv^U@
z*pG^eijSW@Iqub-7I9!j)`cSme$U2RB-nN}Hp+Z?BQ-wz;6$%$4ss&s1L`S@i>cA=
z2eb!L`jkoB&G6F;4ip`L2WDCoLKV1Q-;0O&!A~kMbB0@sgCLlV%}-D2DZ(y4w(5D0
z>Pai$8uX~q`GWo3+2~PPn+TvVZVV*mO|JvtT>C1|!p6piGdDMfdh6PqNm8&{nbyt^
zA4-^a#0BlG)Ug1__}JNrYJ7o37xSy==*cDusbk2-udjHwqAxa_RFd$2_Kd8#wRN&|
z*sdwJY%GL^TitM=zz94MKbX@;qRum{SFbVw$Q`ql4nv=_uR9QWe<%JiC_^ehHq@yn
zgjaz90_i?|{W00KeEk|q28K}ZjZ+8P<MOhyL8CSM2|N}%t3P6|dI|krU(YS`7j>9G
zka4a^JOVOlQ`56{RZBvsZ$-f=AiPjOUdP^r+@TIZq51%Ke)S`>_Glv%WXvYIE5ok7
zdPR-;y`46x!yjAvp4t^4^eH`aC}vL(btcd-@D?2NT;Mr-{(M!U9hgPS@!G5Crexkr
z$K^NhxD0{-*1LJBIKS>t475n{aL43TOw3f={k#TRgNH`BikX+pztEw6_vlZ5-D)E#
zAA~!&aG1?IYg4&X*q6g8@q@lDbmZB?{86YS;yO<~)0r50v{!d@-P2R-6t8YD%>2e)
zNFfSPK#pQXozI1YhDN@AJ$D%)XOUzCxB>f(2VN%7dA2j<S^z=$pZV;ypD&dr|19LY
zSLNW7o=OH^u(RTO6sjb3KrKA#ax(g&)+2Hzv7L=5N5F>lzo*;RB7FDpPM*6hU1Z*|
z`teLeG8iS)Z&oL<sEACs<D877mXBbT1(31!yPdBpw@<}m2j=h4LZe}b8Ww<bX2MT0
zI;TV-KBHDOGcyx>+>vyZK`fEndv7bMn>}^4iPsPUxUAP#ER468N6|>e2oMOEuN<8+
zatg^E!>~R16Do#iM5m&>IoCtTAZ*u6%2)08;>C%#Z{Hezes!U5h3#BwJ@y@F3^@D$
z3;vuDZ^O&4pU1>J0c>!mRuT;$KQhP=fp1HDus+j0SDin53Higy#}}cI1z}^P3n*EW
zS&ZJyrVE*$WN>IGp5fRpfX6R%u0xRd<9$X35syx3vH1!6AQyxYl(+WJJU6I;j0!cN
zQ0kSsquOD<NJ78!NglXIhud|i!U80gIN0a`Ku|b8tzGFoH8ph_4P_PR4U}X_=R&33
zR>s0q(&UV$KSya+dtA!O&UPHOE&Bl|fH(cMxH~T@XYqEG#Mv78a&mG6?{B|;1m`9Y
z%yS;1x)<q+qlByd2EMW&9%CL;$Dc8Y_sxl1xNspOBcpz<Cq1_bKq(p`CL}PbwO`=k
zk^%ojLQ1NI1Mzce^15(npbLJtioQNGQhxRHWj;O%?>`$K82ZxWDZrARO}0G)Z^`13
z`NJr!1Ac#Sa1geoslcd7H(WzcPwx!tx%21KQd1kJ1pxPQa&Z+N>g(z*`UaqTeKzw7
z&MJt9Jot9E<&n(Y>L+BUALZ(lSxXwgsO+cbG00+HF2mN!c*LD}A+|GTnwH8vYna<2
zSjrgOe*e6Ik(I4TFz?M$6Xfy(yL2cR2cs&ycuwwj?j<o`t~NCCgit&ULRsc?tFdZP
zx5WV?;l(E`KGGnXdWusXRkXwW*aU*L%pdmWcB7R>D`PbtOC|l?#a8$B_t(32c4yx>
zE{}*Vh*()!{Q}Ioxoz>r`;<jzLW6DD=;M<6{iz0ZKBy&u=+!I-7tKC&2W{9I>W=O^
ze2Kk;Vts@aqRKFO!A7uV=H3TS&nMOE*w+L>xctWMSjTWZCCJw8L-R<Ocp)}J5qZ0s
z0?lJkJqY?gBra6@%`ET;0(M^$VY3{r<KNy%yO!)$lo~4>=Rz|asg=Ckq}>Z0T_tLq
zf#1af(Xle}bc%`i>Hp_i@K0x&yMuy^l-P03##B9T%lqMHh)tnXj09CXEYg$9^uEMS
z<);(vZ<!zavbkEgYm+TFq>r%AEUz*a*ORtApAF}r#KT!QG)JFxdNP|FdBuOft^P!?
zd^nlrwlJEUi4_0gK~DeR)H7c)T+P#F=#934+8UWdTZLYQZkaqQML8FxRgjmT%1RaV
zDbQtndt65oX~;qu&|9LTgL})?>WOyVkd98}Pg)*a7cps~@uA5jPs{2fGzIkWiXb72
zZ`I8JZ$k?8emh&@izV-vtShYTZRcNXr}HGecioTg@i@95LzMC<p;19ah3dqK6UqQ7
zcXm7mJJ{GsBmx>9u6|wU7)|kio@gssZf4e-yR80t!K})LwYbz?&s!>EdPjJ+;Oc${
zJNRI#URP}wCj6{<<6$AK*&+PO`vT7wrZbmH)z0t?QGK!dS?RX?F3#3MJbY?Ap>;Tb
zMw+DnR{_JuLDws8fS+YMrW#Rf9q=q9D!tTe_?*&I|IGFa@!DmEb{8IP<h<fenLW=e
zsWva8V{7PAI|*!GMS7{{Y?chw$1J5}uF$arzISR2HZiAjZoY;QbOe7Fk6QQax{s}H
z?u)j&)EzDF?Yc*AKZ^5=FPp{xbNzWg=r%qA7@D){0){$IF6@L%zOdANL8*1N&k_bY
zo;B+~N?!L3w+)*;o)kJM)9FT9tdbU}OugO|zgd{b%h9sEWc+}SGi29-XXai1UZSif
z7zz?uZC{NHTeGGQe++e^h_-Su5A~ALKgYybr<b*t>X~P#e||V<H)eDGbXlra<@ewD
zVfH<9F4A^+E3@NTW29%~<7OQv16O)6?bX`F(l$+xJwEP<>Q3IXA#;W;j&zB>8J22!
z&+4wu?uUy?D*HM~+NDtfJlXg1xLitm={0Cnd_9WD4|D93xgK<u#%J5k<s84vmA0HU
zob;ZwS!hGRKrr7x_stm}Qz`;!7EmyiT&l%@S5i3LdKwAY)1nLNB`)uFi#n5{Ef|oR
zIkAmmscK^B!@zga_&gR1v(|};LGJcdQoYr6HK*G~f7fW0N&hZh;jOj9ZN5(C*U$nP
zNE|hW&Zgh*v!<3LyhXdZg(NDoJ+p{kSigO%Yn>g(I-SG5V4u8dp*Ip{vZu{De!n*1
z<lF$WV2^0{lwIOTM_2s3IcsJPW%QWi69cV4oNhwUDr#ka$zPUgYHMz~23&rptg9Yf
zbzRCDeLtqokQlbo?xT8=Ua#cNl25_$NoysxRbfugVIe`I&fe-#TlbQNfnhhoxR-7_
z@v?M?cRf1A>1FAkT{MBG!g1>Rog*1%(@W>4+x`3EpU>Gy+>+(vXgSy@T~~3Q&Zs(=
zycOT8nxd=5P?M=Xq%PcR6Jw~>SWKjwbf_*7ByFEh*H_q~pCDF`aN>YU;|Iolj$UdS
z{v5I7^xeh&&o|rjbM+#m$=1>DWVef|c+J}$?0q}<b!#{g-*R|$l8b+sfM(b>>s+81
zY2@<zuZ1Vx&#>U~hztuSJt|ys+bGqx(IOl^NZn!)W;uMC)wl3~+_2yhoSL-9e5Dha
zU%3D0;XFADLN0f<>q`%NRS~BC>vxD&&)e)O8-0jxz4!cg`u!fg9T&Bfd*V_`dResu
z2EHPXd!>20dfZ&qH#fGguF$bEZKqZFN;7sjx{|Gz@^;2(;1Hh1E+svnDBJo`-DsLj
z#)A2Vg<e9<vVFPBW>vOO)%}<0yvDxQL#7H7ZS5`mM}#CY^l06C&l+&$juBW3?u`wv
zu7t-WFIx|4ub1F*Hox;un>mHaK|VLY_Fpsdl3txg<~kb2d&`qLPpV$2>C^K%6}~WK
z<yE2MtJI*dV0W`Ec_M4!>!sK%t0zMa@7*LUhFeDuH_w@75zAR;msxY!TF;yh6~3mv
z^F|iZysNWv-+p`?=QBLVez)bf?8dp5y9MtjNhg;?d_Fw1&e|2fv(Qh-#g*Xup~mbr
zk9KSuKJOj-2OWbh;q9M02@dxR_U1~W6KxOAQP=PDkQ(^f+Bx40*^OsN2wTZISk`wI
zd~=HD%lQ0+NZ8PWK|3(Zd#;YXwe!~ND<Q@{1|oKN@pHG&ZFg11dMe+Ri*=#O;JR2s
zuCdH;yy^TAezG*eUut=L^wU(veh(4dY&GFaVt$Fs1d-e^GC0b)p_m(XwXU8`<IHj!
zaZ1XsAD$*Vuas=l?V#G}!|=F`MfO0joi#bxWtHev&Az?BuWyWEFR6Mf6@IRW+V$6F
z)JcW^VNjR3q;{R~WL8SR4O;&fhu7Hx9}V!Sr|z^GA$~hy?a8{j_Ba#!ceKj+r)d^S
z9d3(7n`In~y8RiLdr4X5Dj4#I{1TtnFc<YE)1$^4d|63P%G!&onU99nEq6BQ6ROPl
z6|YKA`R?9I==!%xI+U{EIxure;2*y=QFM&`)<l8BsV`&%sv4xa-7P;N;*W51#{H@n
z<R&)8->1p;2`Xa*Z@v=Q-}xq|sv7HT`atw~`8=M0XgS^!9leMV{WN7QVu3&Af-jU7
zTYtQ-alGiwdiz}R9AA9*<RUZUjd}m6+`UHA%fg?w22F9}ejWtRa1gF}-Io8!;d*^a
z%BeeNkw09%tR*uryl<`Yr@cROZ-zAW?QS+)HTc&jY{iU+Q1GIZzg+7*ku>{oXO&L~
zFOx3Qo2$q1{NA@tbvGQt!N(=ZqVzASeBZZ5AN-J$GUG9G(9HmPLZ^lIax`T8jYN3Q
zf(yLvJh5K5f9{u&bku`GT9a@;+>;yKDMRLTb)$m&oL~Z*QTsBh$>elu!$r(_vOqP!
zu+#YoInLe|j>;Lk>;4M$7tT)2zCZXnv60V-k#O3y;#VVO>?><yd2CuW@$S0d?e1IJ
zR_yhRW*sXQ__*hOu_gy}>f!~?8FvfTTQb$1_$oMKEKS4COEAlY83<bR<gC#gKX#KU
zfJl`MH%i&?5w3H6t)J$?&IiuNxHvd1VtV+g2%?f9Ex5s7AMAulJE5XXz3?`edOBFH
zVpnkbuK3C32MeBY$=6f9)i0?(J!KYrjTo80HCE2UTqpA0A*e@#_@4K7ng)w3j4r?C
zxB7M#O_1`oy@8mrHG;*!WGCsWS9h+Cuv)t*ayHekD0f+_^3aCM4VFw;Mc%~rmW^<3
z;FRN;&sk(5LFRFUBC?sgmdXc&aj}Xi(r*G&V<Eoy(ox0kduCFZ?4-*;k2NP5!Ma2H
zLPvymKwpql%Gp#LdiBKCwYTkG#g4q1CvaW(uSHm^vYj~p!Yg^{(^7Xs;5gp`UX8KL
z!qjkN%r{bt%S8@@8b`A8kvt+%ZajzOyS$ts4-TWZw0vr<XNWNR5(Tqv%+F4VGEnh+
zR(^*u9w+6_UAjx{%)ry5?NeHvv@v$evh=<nyD~A;v8-2|jQXoI8=lDxI!Bl(rZ?C8
z>v!+l%YF*<jVt?lzl+^!AzhhOdBC3Y<{K|6vBU>Se!CS~=7gBo&qm*6e|*s(%xPMX
z+CDp3yHCv_d|Y;Sqrbb{;yxyp%kaDG<j8Vb-`YhNF;>q>&E{MkTztP97WKQ{54z|4
znm0`8Zb#9Ygg(lexezSk$~YZhC%>uVoU>Q1|E8Vl!6Z?ZcClRZCzI~iS%#USB#F#s
z=Si1_n0rOYJ@3&R^PB(S`*`kvVo9ISFSy*2^V}H(CsL5)a~o+#zWnLr*sR>qQny~q
zb}6CoCZ<6*-!dDmBJr_Ou$e4vdFw5qOEGg<L(B6nWNr6Yzu%sEzgOETQmV2v`Eb9J
zT{2NrGxT<%n3}G0hoJFf^Ha#<3Rt}uUbE<k<3NHT&<MTiwWZ0Trlyt^^C?t1nA1>K
z*YUxr<IPXXZ*Alp74<leF|mZOV^m*J9;YYzni@p8J>h)`=SmB;1fPEEu}h-1{vI=@
z*~~ksjf-Af@M)elev?<UGsD29xDXdYnsNS_Sipjtm{8;3l4*6#-QKlFh&!!oM$O0O
zt&q>JUd3rJi&std4vK^`4D{a5<9)U2;`lUuC8Okk+}xfo)}i`$Z?7zU_`+<tFOO}p
z_g1k_DeVW5T4CMXmvO_%nj%#lAxlE8?(Zs!vhA*Vx0PfsE!c>5j@6Cnt1K->987vt
zQxzY#$DM#ok+(iM>MWl%HS9J~1S#C1VaKHr498PZkum)~&YjfUJ{dJI+icEpZ-3;7
zSVecyv^HELPMh2%4>ux?`--04gUp#zm&bHF=I6~@I&oi56^D<{EzDV~TcmWT4Y)q+
zxP+8fas;R2)nv2&xcD=p=7riFes|ZF54O_3OPNYnECe+O#fR;z``U%1tE!HN7fqLY
zv1I<Ru1Vk-7TWNP8~YGOJ{*A4{a6@BIlmvWspsj1Y&Z|s-yC_AFhWE@5*tbwb|4%<
zlbN~I_I_*U4PA7xZ1wLD%JYi4j0Q{BdK=e}pGzCzwytgtPPDN$eP5>=`n1$K2Y14w
zc!nLB>dtkjMRhnbC*gjW+WKv-H=-sms&-;Dh|xWzCI0!Z3!HPCGT-y<_4N<_jCJ+j
z6YTtOe9X?GWZluUim7HdPPQb<PQDX2IgYE~rI|*t%_oLyIvK=%_xtl`Aby^NTHp!i
znJ-k3e}bw*V-TsH;yu9YP?|FLhBP+d*GM-;nYNJ%nO`n3;kR;iNFg_8_kQ#JtxsCQ
z38%&h7e&HMN<Ip0c!+U|iz`%GM@%*JxM`Ox%q;jD9JlD@wD_UAbXZW_ux8%SIW&Ez
zd|M!|s9-72HZLo7Im>Ce)sZ%7bd4i9dr&{`Q9_xoQf=T^=#-vB(Q_PSB3GR5*N{N}
z3KgT6d<%1P5=4+0u<Bdlc&=vkclmm>`SC}0u6A|Zqm7Nr<2K+9%zN}Y&hEN9PPdv@
z0{$_jh1r3UMceXwS8CJ!mUF_AX0qM%O0tk4-kuMWzciUPR9jSw3`P#7jQ7S?w^&Xp
z?dSd+v^%4;w7${hx3sTob6y>>-JwVFp)O9vz_9S!RULWCnarzB-kBU3Ec*fZLTjHO
zxwKbp{je#p2$@wXIY(*qskhv^ayY>|Dn5I4dY*O3c3_i(u}Vj{WPP)AJ{w<S$<5U#
zxhT(<XK3E0!kTMT+lE1Dz4*ZE_XbUfHCG(-P=_=2r3@fMFJ8V>i|BHOmr`Dw-ItXk
ziIiHDJgU;~W!!(5$(XrBzVUuEdRmm!Y0OP2E7Mbql)Uz_wteOE-oRGrC!##jKj;h@
zyC^m`#ozY+-e4{s?W|R0Omy5HbNo41^-gf0&4>k2N|Ly6ickL{`UeS?I+#;3hDh5O
za!)cuY*1L{fGWHRlP{E;CLyJE%HZKzkmd*DAhdFbutI4e)AKcYA|<`qd`vo$`^r1&
zdWBb|GZXt_J|`?)wrPsUClnlZElDgJ5)xyMy{dNgAXic}FI#x;rrc)dX@fC?((kHG
z#q&OHj9qJP0-e#>Gv0H&-J+xp)^=VdRsm&4th=ksM0<#3MOOb>WOVeoKuUHVo;zpH
zp4Dutn~v5AY%rum0#iBJFI`fphUB6?51KhBj*d2$)YlY0^N<+7R`soJN7KE{FQtE`
z?!Rl%^3od(X&$Z2m{ae4l<m4{Veo)~wIp>~$f+-Ju4BJ9uP)Bl;d^KMH@$`Vhq4w&
z!5O)T=e-LXrK3WPlE`N?xY7RHQR7nWapX;N(t{zSSd7jqE6*dVSfuk_$F;5)UTgau
z?abe0^V9Zz8*&9R_QOjH_G;gIJ;KvPL~8T44*ff2vZwA_cV5`E@P24jcAP+(7?KGJ
zw<08*=0>E{2q^^Fc)AHq?8~!m|G7JQQYJp+b<xsKJ|!Aup33$To0u#9zu5a<#F3QL
zEu3DIUY^=}jiZbUhUVLs3>9|LP<&QQzJB8#Nx~W5swv!0!+445c_zMnZF=}0`**8`
zq^v7>OD1#TsDqaWhByaSoDE`T%fq}ADDaYxp(hz-ov8nIA_EEZSd;zX8+2W6nnQVA
z`Q&47+X(fjvlhBc69=NgJ;P>IBxRk)(wsDCceNeATQXchZeq7)(05&P{R4gP<j)%v
zX9x?~XP)M#C}i`><_=A*I0dX#O4)GxSyz=^ub4mo^5<u+f4$VI$ENeBXmx9(+>o)p
zWPbU@C^OHF&eP-S6L+h^Bu0xA-&fv^B&+x2|K~NQ1wKApv>m+b;coQEHrT<<A(Mx&
zbLbm6kCkhRqV3?hk_uc+hM}1i(G;Aau0wMwCP>xA1rT<0d2<Wl9v$#0>)A3V_v2}4
z<(>cXxl*7rRo3sTrBA75<#&nvcen8RJ#+>K{Td8?N~d#dQxrSI2A5e3-cy`&w>^GJ
zV}*rhc*gp4($1eU>czTie30H@tD;Il6SBm_#GDr|Vje!MUYwy+A-d1vN=?YE^W*Bs
zlRf@%35V~TM@`q<N_Xo`h=aAm7D5^fB?sm<XB@5{_88X%h8R}+KGb`hzsFX;*EN2z
z5fU(wn5d|kS#=R>Nq*7CQubM=N~b*UnSD#WtHO|_;Cd&STcK9H8JCT2g~cEyWy}7P
zqgP+)&3rs{2*TlMs|L$ssq9%skC>&#1aL-$YwtRrP3(Mlk3tp)La8fcZb1RK+}(RY
zYC5jpm!GiOD}i|nmigW#g?H{34#K1%PV75I;t~|_=wCOf8(+8ax(s=!8^#p~CLJ#|
zP4Ah2)7#zT%T8}+Phb8RDZJyOB5zwj`eEr4uOSQ2V1kSJ>-HAP?YpKdQ^iAjdc#bG
zp9ISgL8UoZ=GF2n3l3s?n~<X{Fu3tJ`1r`PQYDPINJd5sXBiuY+6~RIogIAXCXOUu
zEP44eno^}4rCPoCIU>6596;bSd=2yC38=fmi$<As=esXP+$dFcuy?#I{=Pp_kn&#_
zvOe#Bsk%X>f(G|6|6OK7)He&kU+g!svOBtniT^X)iT3T5^XG2b5>N%PVQ;v7Zv6_1
zK^U-;j7C20L5AS(NQT6|$O_a&8`{7!oV|AA)4Mm2Qs*4N&i!Lo-G=j2>+d0$=u>o}
zkBTh#4s`2kt6`=d#^_omMnngBSW_KZ(Z~Hckolbpw=pMH)1JW1sqEO-eyWdPW@jh<
z+}_az8hRE_$`jJr85#Ui+#%=!|BjPf_-+3S9Qr>uU!;+SnZIEBDdjo#aQzNi5rAZN
zNa_Sw@hy>##la$#Iv;Ofkp%}6jrblNT(i7D^_2r1{@zF5jRYxQW<Uf@fy5_O!|H5@
zg`TlUF+<W@v&K{KF*#ERlxit@(v>J2Zaod=&CI$ibp>z&SqP=fN4r3EYT1UjH(stz
zhVoT1rdxC+4HQ{WeCCOnz)`qy<C>M#h0dX|xbd*mRCX}p$pr<JP}A@!iw|z>N{hg?
zuRAVaSsyQRGIASIo<`esvrxK_a+&}B$!-9xN<SRtn}HM{f4eN}XqP>1VbQeE<KV{d
zYi@Xta)B{)Cr;o4Lv&mm2_oXY%m_G4(<BaFM6I<vM3M}3mx8dfsbXE<@EJo-7|z`_
z{K{T&9B6(g+;F;Sp}g17m#bqY91uKDc?-XQ-jkL4mYqp3=VG89k^{7>&IC~t;fun;
zv`B*b5n}l7LV*AMvsAqgqDdykq67S81F#cP9Kf#!2xSaaR<|a!`~?)On4adgw&6rW
zD+Yq6!4Hjy{XA>1r$@3IDy^6(7Q}HY8ZD+Geg?h=G-w60Gf^A|fnvFwwsxHBJ`h1p
zL;V;nprLi`XN;mJpyWm;<x~A?>!gZDp$iW74A^`bVj+waKW+~d1eA8yU23b7aMkM+
zK0dx%kHq?yE1cZi0S$)rSGPw3pzf5Zf6gB7I_7YGoCS)k$=3-de2-p^(zBBYq9p<f
zzso2BtoyTxS89hZ=1#D+^!H1&VxU4a2?e#YCsCa^CYQD=$}VFk9?U6$RWL(hzsCht
zw0Km#1RzwH6X-Cvv7b<@V2Txe;1vAxDY<fJ{|l7hUihO*f_n>}|MK1c8Y>eiL?1$H
z1TX&cQ2hyH5dSs?ogvi?sI8%Tr$B(}EAaq&{qH<75jojUwuDqc=ds_M;A132iZze&
zP-`NBoknux8a2W??Q5W5M@$uT278<0LOdR#_|AZ@f&)Vxj@4xmS~GILSviS||G7lj
zxS!MC{_nw`qHg@}1kgnFYwTm_r2l?GUv?UMtw0r_k^Rs5nz3q&>OW4`|LwWs1QkoH
zsjFxX<SZ38Y7Ma4FG2XPtqevt6}waa`Q%6IPx;U8e}H<x-yM59mCjFfL;1X<C(v?$
zZ<WkR0@XQ`q!BYU1{Oh?`dw>4umS-%1%<~T2@z6<BGEiLk5QK58}F^t+NCy6febVO
zg6Swe3JHpw2oP3+%n}U796KG7-H0UAPyoZS1q${Q2(ZT}Q&Uq{q5f+OBv0OSD2wS7
z#3^8Yo<LV}T|oo6b@Qgfk4AhlW{Cl@FNXZdYT4>wJ|c##juYUK5#RwJUIU&Req|;G
zqljHf;D&q`&^QnTDtV<0Nv~c7f?X0%oB{gLW5x8QFyXP_d+CZsz*M3GYEtdqvN&*8
zL=sVF4K>2P@zBsvL2W#C5_dHBPsYZCc%w{&Ng%)$A07e&i4|A~N)l_wO6|v&UE<iT
zKQ@F(H(0Y%1yTLon8ROIP=7}zfXCq0w7$MhMN6A*%?#nWJY;m%VBJ-W7XP*tlEtyX
zADRCy_6;5#PzivIk)u`AD)z-v0A=Wu@BeOB>qrBprSJY4A&?(`Iwe4{2&Jp_$%mfe
z*|!s?qC$Q9C#r8aln5*<05*NnpOCp8ityoidQ~z+{u=rZ@DbplJO&=HPFo$Y7*Jzu
z3@oIbovDbgz&BD=S2zCs^HZU^e{drmb~+!AR(7E#e+Fu<z?^HVey~n?@??PfxHqj{
zr3;SXGI?puSLbWjaDW#hs;Z%J9eBJKE)c_v8iB26nu`lG=a+Ney0E+GI+<nx^jls7
zZcfgEy#pwK5;@!t4j#Ee&v)=8|Ir!t(>q_UW2j9_ah}tFk3w~x^P^3b-ve^geSu_C
zo1){`pyuKl>K6-9RmMkC=AY32Qk$ZF3iZV*&($;x{=EK|$dg<~&jj`9sjMcTZG)(`
zJ$g2NOa@c91|AjOf-2a*-UtiFT(&%g^nClaIumbiEhx^ODi(@P=}r-%sjVH-#_UBF
z85v2(Z-~?$9eU-O-@&M+5BSjXQ$>=+;n%-Buf%@-JYm_06Df#CIIvBC$3>?kxqJ5J
zty?A9WK=32P2k>7@8?AQ62)8_p_Kc$u<-Il-EvA`p`mqOluQB)kQ2Zr`0nJ0!LU6A
zO3+yyX<po2@Y4kjKV%li>sSz!GRb(=lNuN$^+0vP`=G#{`n&;^0(5BL)>6j_*@kfE
zmE#VV+BN|Z&v9|!5+e|6XFC&{fPC}8x|b{W)C~;v3)C(R3RDq#+t^%0l7W=rF%>4f
z3XJcHRuPnL3M59szjp$Fkc}KBXD2a$l>!}{66K0KkB$B1lmOf&RW&uM5_A?=+x1?H
zb`^Lt3HnQ3Gha>@+mGvKw@^|ANx(s%Tj>EjH$W7%t*anfQxgpV+B}bgIe&gYZTfl@
z=?<_?`1Pu@=YSyqjBG>i+^j5;{MtWUF8ig<?CjjwGp)lj1o_RC8ixrhwpGl%kKfmW
z4NgR>9fiA02;hw4KuC;WiFkVQd@4A$zJ8SYoSj!m0_yOtE|iTu>&is~{5I6fw5%Yg
zCg35LFJJDia<_NeK0);Wt5q`^h;HpeQNTDP0S$g|z{V{hG`wv!Q{m$KTGa49@Y|?t
zUi87Qr#d5N2#nreBNbQVp3(hq(`5^k3I%?`73?POllU2UZ_<dl&YK>*4i1(u!3Vp%
z&W-3pI#1E}96NjeKWAY)g=#O*{eigXz1a&CTt`R89ni&pBnW-3=OW?*tVomuf}jj#
zU{}*FSFbAq#mhrN3e+b7^{+N?QYb4P=qbo5P(o9H$Dj!uag?<KM$oE+4h{^v0dOc8
zoFw7QS4oh8DtA8U4xm6_@F|*l3`Xehyh#0kw?TKsoD67bejv3HyFXtde!y`+If;J{
z5VR8ePB6Wxw!@`BxBx0qwV&J45Dx!1^9&Fvd#o>kP)DFb9dC}q5B&&INBdV4lO&${
z0#&&02g*hV9(;-RvwOgm=BFcr)qnW#Ar^#Xc<qhHBr%XKuBlLC<mFA~zh~muvQS0x
zpz8N&X4@TS_;W``3y{@U!N{f!%^2t=Dn0>Dmt_TKHW02EL0p=^qM|&r{eu<Xw%AK1
z4x7CiX(051t#AI}vH&INN2EM+!!5p=zzg@@C&Ps305wVvDPT-PQL}O{P)@^AVtd3n
z7GT`F)8Y>cUtfIVK_40xCW~?q*CAL!p2?j7x7J<f>zf0-?be<D5MGvM{>^p)#_2z7
z7b+H({EiSxl>v`sQNtmDiJOb9%PRS}p{G9CouCS$^DPQC*Q*Cc^odIMm2j!U9XuH#
zpb}Qev%Y%uY63EJD3jVXw!u&u2)QWrExqUG^t6_}h6&_Ku{;@8+q3LWrgN-MW$+7J
zGDlh|RW!flkd}j10f9;;O)jiB?wvd#IU|A;+l>y{dECAGLNBOG-PKi)w`%cnl@S;x
zAnZ6)B%silhDOVmkC%6=<P!$dhgb&UeEj@kn2w#~76{wVpQaDD1}%Q|=f6=e$`O40
zmr(QBj)1C{Dq1n}U`?ZFFDCeH_eF%9jvukF-96{Czb228M=xLgwhT0?^!p{8*}$p9
zlMY)R1_JOx|2NTZ3!5kvd$a(wud+ttN0wT)wJOrn)8lO`L=_}Dh9aGwMRv-zP)SDo
z`C;kea-y@)yZ~INpR%kNYU&6n^6E8$=dnZyQhZf{80rw~4p~+iqOu5SAoG)LEsutx
zO!zmxhoY5kOC)T^(C!LET3egmb9>pA=?LIO3(&wEfcAuv@?dQ&H*em=y_*7i`nb%W
z4a{c^MY1fo!V@P?;$2#x*Y`beg#$1;+}}m%H^#=stIJg@sX%{6zKk}M_I`T8>`An@
zz0!uVaG-yJ5%dR|7)VxdpiYbO&cH<SPJI4+bHu5gXQ0rG6o}G7_G8a{4*vW=xyUdx
zwBd*6)IDw#I`6NoHr0<*NZ&o-u$8meN2$V@C8&p1kgfo0@iDyXquoxFhW=A<Lzur-
z7;8T}a3^4&0k4tmgSG#_APJ;y-ExO(e{Z=}M~XVvR4qh+K1{IIsOhrAbHI#LLG=GT
zYzRzha7T^wO<-s{)_(>E+i2$D_E~Ka-^To8>X7sSEk>1ZB3j1|2dV!3nfuqkhcoCh
zpi@Enzvp3xcLgRPU_ZtP=ld8Mnu^SiPfkwq!^PWi0yqBN`uC7GB>jB%hR0XS>JIL-
zYXSR36!rV@pdCO~5&=p*mc0rrtZuBCfw=Aq<VqDz-O0zz%gM>PR9#+92YmbgdV5`!
zA3#^Fg)USUU%YscQ^yb{2Nb_>aQf^F*wM#v8~|1Iy#d#$GqnlPu|A*&(*W$r@00sQ
z$4kg#Fj%_}4E*shu=njA40PxrX8UDlWfjNKfR|{+9&68VeKp`Yl-?To=8eJB!Z<mj
zNb+=QaIj4D^i(8j6+_K&R>9P_0kB5#7KEsr`~A_uA20mt(BM#4yRTCiLG-EJ@gg`w
zaT0_a_JBo7hRD>+%<6wIOKfDMKdMy!eUWz}B!pyfsDu=V^$>t(I<C(GSq=0Kd;u0)
zS)D?hot?q)B8Z6FVyt=*2YZ$?8bB4oH(hU}@_TcFgXabQ<%NN+d^J3clSDB=<i`pu
zW&RlI<vUgox|1i<WW}K?jsUVd3PN>w;OGfUED5Pp2GDS1Z~*5TAh&%k5%w2hEK>hM
zc5728Ec2iu0%#Y(@-N)BvxefsMci}jgMU9_@!<XrP^K=Uulr{JbeI46h=QSi20$I=
zR2v0=Lo`At{QCxgGg!xQ;v3E?Kq!>5OpWbq0`Lye_q1DFb2DaPCtBXq)APCZZH&tW
zWPTHy5o(8avBO`z*|cB=(0&z^*9^@S=oN6F^KO-Bpbvq2-#Db~=_aC2Q0X<I6XP+(
zn?Nx+v=5-n<Yu6AAIGL8PzViuC=}(OC3=bsOiW?G1jNsVkj4$W52p%Qq~1LIO-wEO
z;jt7F%Ws5>45)1<KvYlRBF2=Omi84O3xxE2OFIz4ptf?;ak82CNW(9<@f51YrwVE6
zp)ID~u)yBO#YF(}F+c`gcB%veL<2Zf29o=0(=i6d%Oe%PfbsbI_itUrE2bYQp(jhN
zs1%Y3MJ_n&jIhn``ta+aeFtTsyNY+l3EqF0bOa74SBe72y^vo(=Z0oC80^X$<^;eU
z$*8DAZf-*}k-mrwMiL8ovR!c;z%+_D{R|#<{Ij(b3Y_5vOM#)|e0+RQC~?78X2rPo
z>$w{N`5U<2>Fo#|3rhsVJPRwOM$dyk>Y!SwlS_&sXqj}yM2T?WhdT}rR~raXXmj{G
zrVc@Xm5Pt-K*cS`^8vbZNb>b3<dVgpM_$#($*4Z5FW@F?myLOHqupdEmW84zCm&zi
z&rdI*E62J9cLyLun_$0g0GKdCV1f@6Tb+ClO<dqn(;x)ZEVE-m+bEzGH3E&5FZw~s
z@zJzNVUP`S%nytSf$*5e88G{jh%|I|6+p&pVc~CIAO?D}5Y}_&2&&vyTA^2tEl?VR
zIhI#GNs^=aLFVS(Q%(u2m;#CS_N`maUOlt-^J`8u{=Pw)45pTolauIS6U0sv8VyvD
zHj93&paED_#0EK2YG6Ycq<n%Q%0c6nFl;D=1#thRH?V{M6Gvh7(`TO&LMk-&`x{7M
z!5n($3lvIT{QC@QPKEy7i4DH68j4b!u@6O_Mb8HH9RH{qHsjKWB62h*^M4!NJQLx<
zCNOu<%m~TlTgbDJ7ubjc`*L$)zpr1h8i)ch&W{kwVM9Ci8|-Jy%0Sj>urJo)^4pxp
zCV2R;Thh}+gjk9k-1x-9mg<1A<)}?@XZGp@28wl^ZUuAdVnfNuuSBtiwRkR@JY_fS
zj#CA3V;|+>tJ^60z2e(`pNJ|*@b4v_nvE-bxNPiN*ibSfXYpIt=0f{@$R`P7Zzx>C
zoe4_@r}OuJxd=TOHrtCmiC`O;;y-(-s=`)<kHKJ<X7;a@dyvi{1ArT$5dvT?CzsTn
zJLgV<l91NuQ^=}x7Z_c)87aS1&%?ofxu}LHFjyfPSi4bCQP^e|KzqGCkSU=XF0*eN
zKRR^3s8dP?-~vsvkdTnz_A9fehH`OtV1x48klHA-8x4u#)<}g;*{oLK*SAq_J^=;u
zGr&a?;o{5n(ECQ3_B9xcmSjN~2Ycf?5?1uosnvzq21;!i0GBLRF7PfCK!XCLZVe&U
z<W1)WSo@FCPx_U<44y|@rL&GVav{su$Q8Pcs(wH~1Nqp5_PKu$B0;e&hMM`JUVY{B
zWnZ>bWsL>NM^I}ttI25UH386d&9(<np92K33un%sKcCTlKD83atT3*%9{&GWlZBpY
zo~XKmz3t&dVNG4#XX?4y6$!kOlFX1)?i;tQ0_t})8YuS?l<*>M^WTZVijaJ)hW;xk
z)ISL#rJd~ZJ-mWUKnMzjn+;J_2n3s)&io=blfoV3!vjoi3n=K_^FtOF00f$aro_<K
zK!%_n&^`r-s<hgkhJ-Yt+mHA`!pRQ@uK;?mB=#1Ib|BC7JTejo0!d$>1KjO{WJ@Rq
z(kFl6A5=b&<w_%MKjPZ2C*tz!`Q~=y8F^gPmIXn714K~V{8CcmVyM~e&Nq<ShaSjB
zpG;+--(?k8;?O#LDfZ6!RDLxzGoMq+emNH_!q`#^Xu!R}F|Lb*Q#LNUCo0ZvMe|`W
z{-&A8Vg5B1Llu^P?gH$ANojSW3fAW<W5Q66VWs;c04PuxY~mE33bk(~I8sm`c$AUz
zWuNi%h5y`{@wR!Nk%{NOE<nBIKhH+OD)aw)U?*~{B%xVLYRvTX%<O<BHjRnR=3t`j
zagD$Ny#6~0Czkqhk^lYnX+#Wa7woahV=54b&Ger8t8vHb36B3P4G3<;nlVaQH5xob
z+k0OLtN(w;7mG!Z3*#4Gj+|g8vA~XDd>N;O-{3HN#W(FIKxh#(SwsR&?1<x<Nm<Lc
zK_`am7$d9-EBNd!ee0?w`6p*h@*+*Xqsz1AyE!ElYB6I9i{O0sZ|jS?{cDR*75|y|
z?v_7r7oGJebEM-F!=mrCA;{fq3PLw642BssuwLOf7r5I;p1h9YDAUs>R!`Qeqz+O*
zkhdC#bOUC<#ji&+V+!tv<2GDk<<T}h6bqFN{aJd8yMd%wOH0K66yo<SaK>Nn6jda!
zcU^DjEyQJq%3ONeUlQ^r%@BV`Hnc!u`Uc|nqjK!uH$9CeoL45}N@1nG?x~l(bHimh
zVYkBD3$~iw7$GY*B)Gss@jZo3757@l;kr3X|E9He#_IOU-K7oksi^2ULIa-)`%n({
zZz1se2!#w(*3cpO92)4MPpsLiGCsS(ko>M^jc7tp$fAw&PWxw)mCq4z2eesxBFZB*
z?$+&lpU1u5yLra1g>;^dG^`~!CMqhOu2?IW7)-Q!IaH*9#4s7Za&k(EqiM9bR{f-z
z8xx`Npq7?jYHVF|Z|_5`-lEw&Pn*5CFWVt?d$*T1gr;&0?3v$kN<Sg5<%tef;Lbt*
z)Q^A9z2M7rT3ap8CR;2Tulkv_W-^y!&gujCJNN~%q!ZiY9Zij<Rf=|1lt&U9w8c+%
zn4WOm!xkkOx&3~0>Txvc1#yTE>-OHI?ouODilQIR3P07$Z@_)sKdbpe<1EvyO}dN<
z7M}b>5l1Uc{<7@mER(|&T%<lsZ6To6hCP-3*n`}H0%e3UC@5$KCryqxr9b`+lc-n6
z=#KWcg&^ch*I4z;Qn_}1gs|<IijgHR_r0%|^&stic<Oucr^u<w-CarhOer>mE$Nod
zubvGIrqtS$iVs?Yl3V4rg)B2g`K=wLH-ut6<07O8?;AwVT8|jwTmJsCRbx|SfKu#L
zzEHUDT^KNu;%KR^ens6iC05!IQ>s65&f?Ie4*BxZcQeZV&UyC27KGEkjU;)>zdN49
z&^FI!w?~Mlzx^_w>>4jo7IApVC0&B-JGB?v+~|kBbKF?)7g(4>r8N+ywu<s<im0k%
ztQbt-pI$cTya4_|1jFc?f|JhzYVzAxsclB@q`#+sTbdaCBV=;aO})tA;<_sJ<`S8J
z0bYK7yJOCbmdCx<o31PsscPjtsV9~?q#S75YN#0SS(|Gj7Y{kuZK2RV;h1)Ra5NL2
zR_!T0;Z6IY$&LnfTO#FQMT4OQk=krOlezSlrx881r0+KJzGF&xSr1M{8$~Zo-J#rg
zuQPBuw<$5sN|&cc_M>x2_;49%N`ML?vncDilymu{%17b_#G~hq@Y8_-O&sZrnj{V$
zo({3v>Bv{Fe)c*YjQ(=lpL=n)>C*Rd@tCfA_#cN$%d>PV;`&DY)jB*qujHA<my?KS
zGbhxH+K&;qC^g&(71DVWX0}&8td#WVCEpUMs-;s|&3E7r^|yc8nxiR_M`T6<kE%Ax
zG<1~KSyP`=_2CpiqtK+1@1K{DrFx=)QviKeXu+_r?MKs-8tuIHusm1%#>gVPC+Txc
z*+SOb*4m73zY|<7S(pqLUUH?`csRH9z0%e?+q82l%1q3F%f@<Kz7se<8+r!;MiofY
zJ^ZgRZk6}z^79|`oU_1DR%vc$8W%hYwqA>J%5`f$n_58Ihtq8gZA1F__271POC(|#
z^cHw;DfNh}7hcRCX7;=4>XoGzop1ZyX)Gx^TWH^Mv^V#?tu|kmP_y<{nbhp??)sSP
zVyc_kHP@V1yLac*hIz8L1arso6}jGuci(DG)<k5UHC-f-WdBBum%J*8;8KP_%ot1*
znUur}!SIAz9GDL@Ta7yUwlb3Bz9_!7o6%D^LX@)~b}PfJ)3+^l^C}Y#te#|NB^MQB
zstMk(ts23<U_YGd%JD@jYUqS26Y#z&4->=kOK~l$B1T4Q6*|V>#zbuck)`^{*HmU+
zBI#haNO_FohnV3P!5{Gmq<`okjN)!NXk&9T^cS{3xf)|?`ZoCKQz|I2@}__K@+HS{
zEZH^9tEc9tZA=DtX)nPr<s=<04~}wsNPHbmS4>FUP@YxW%~w@sJNE{QMq5jloOJV~
z*zR@g91_G!I|%vOk6#Ht`ncmXmOLftq?=@0(y7%uP}*VLXZ4-aC{XcXxDMw0w8lb?
zeXF)gPUyXHJ9hS{d0hkw^XWYWW_yqp2^$p{J0>k3FKmAbX@(9wz3{10+>FwNPjA+r
zGjb~~liPL9q{|AwpQ`q*xKJ!ST3jk&D_?SLc-(D3(SGo7b77c}SYz*#-sb1gL-;KK
zV?mk=8p0ClCtHiF%_7qKM>^WoTDs$TwcLMn#@DgY*3llX)A*9a(>%WV*fL;z(cH`6
zH@(WcP{V#cDtt^LsUQ3<g)#iDiycb~`N4(5W72HUsUr)&Jdw>jZkMJ*Uc9+bMR9J-
zMM=y_-Ldd$c_y($lFUo)+Q3t}T#44h^Lazl7mw}Sb#zt3DfAXm=VYqF)Yzs|Zmnzd
zFt=Ctsw1On;}W(kB~e<ryT8Yr8G*1g`l*<sQZq6jeDdV9o8#V+jLRY?1}F&QxQ?9E
zWoMTur4BO+c`z8sEN7_TA0DfRrcgzMvP)w9*}T=FP-T(zqoRPEX=G(-_dy=Hdg(*a
zovcK;JC=^FiZLA2gNjp1)2*Wd%ed(#I^Rp1^vWI8h+Ri`tph5veJLfpU0+x6PtAFo
zFeuyRPq>ccAC3qqEJ>XoQ++jha2?3Hb*VDJBf4zx%3#6!fsmqO(|;fv3?#Y9Ncq6n
zch64ttUmLgbjI8aK?%52Ogw>#v(@rLZapP-Jk8~fGC&<P-lL?l`ZA7W5V0MT`3?nt
zv|wlgarr>?gDXJEBSSuZ`GSG0E%3_$*bCb+>U+*{Bmjmj8+Bt~_WZ@>vN%8`?!Md%
zp{$Vry(9d(0<a9Swe9|^*X#)k!6`l=7E)?_I?)rFmDCw|LJ>KfGyNB(@M2m8UrX@a
zPR|zgaVvdrT1yLl{6)~$y~RzUzRF6w7zt;(Lct*VO(Lwp!RjiGbUxuTxpje~gZu-2
zizT;Kx1`dZN^J@y+p<Ll_jTuf@|v;ggwPe9g~}@Jv2X8Y4ovqf-kD!TfNBw&)v;Hu
zP5U%!(kb@#%#El^X(<M~#91%yC5yj)@_YDk+Ww|HRnL23mvd*1QLE0SK0k714&+zr
zDUj#>bw`c=+7m84YDK%f<GsBzGq0f$_%P9kU#;O7zFM#!^Ep+nuOh{ZghV*SpDXD-
zjeMAtmGi#0`EQptnO?S!BUtIgK(blHwT1QPxHwL4ue2G5vYMH`j~PezW{V9ShU2p`
zMbu4dr(xX)lm5}C0NX?~4!190l26F}QaO(InJUay`0%7$+Jn>4YZu##zm#Roe{*^!
zm)ta%4^1P~n=0X!2`X_Z%Ki1cSyn0fSCg;dv2x&-AMAV4)%wzFv(Z+nD2~xukEes6
z7PPZ-t%v496bA*9mXzyHtjXR8-aiG|Q$hr4A11BO8ld#*04<<UMPr7LBY+YYcsnQ;
zr_iju8-9YOw_VVF<7#l|!tr{)@Ro756Hyt`XSdq)!XBHoMcV8$ks#2KkVr+4&{rni
zGk=m&*+F}paW*Yp$H2Yx{7}^4v8!MFf4x1tjG*7vw*+jZSZ*(sez}q|Paz<bSXw$|
zsVa|1>#9l8#~u3NvKsW$$v!@t-cyz%W@`I{ihwb~GC*YN!P($-WmeYYiRy2Z9Dgu~
zw2dp<q%00e6h^oEJc7iXjzGHyu1BzQ;5eodwcM28{l#13xDX#gbv}d@QDvp4%4o!I
zjx%V&*OewScEAyf4Y*4+sgf6(`Qac{_QHG`^}7rT>1#EiQW~6_i+y}IU$K$UaLNmC
zMOh-!Z#m_uxsZAZMwQ^}kq=HQD?buRAFgD+nNmMObQ1a&2$^nY$Q;Wu%DCinjLYZ|
zIWEcVZt=wPR!UE-iDW4fI}_HA6R>i9-VYANd-1~W+#SD}4*zH#fAw6y>^$6W-;hxQ
z8=1r<;7#p2U&FlhFMvMTSmDZThWHGjyVU(n^YJ$+Lycc?UFu7=6R(}NXfIN<IIJ+5
zz9Ep?dA&B}!bS)&Pgb~egmpsrZCM{<dT2bTSk)-LDDHP}vnN?2>+7G!u~64~YfKuW
zT5$a`H?yCjMW;ro5zpll!Qnzuc{&^XConi08IScd<&4U1>y{rmHa8<YGk0V|nQl>q
zU2aYza^$@Bwv!0@@idE6LvUtkpxH5{>+b1N)yjK!{YG@9wvYXPot=3!RqOx9_c=m|
zq6}r|M&oTjg=36L;|&qYT*ws1Ovq3qDXROsQW?`Nb>tvpj(O-*GL+2IMH()LB$@fX
zclZ9LweIha@2|CLwW6~hXYc)ap8b4Y@7EE!>CYds;x=vCLH&E{!H7tPtFM-G-n50n
zLeIwc-bIvP{y-vRj&eMeOFUSWx7M?y>g6|yQ8s6J+~w`T5-(M({xJL~Q9Cv@urz-7
z{JQy7qbC$B=3R3-S>me1flsFm_?4S-HNPI5Pk%luAr~Z78wAXvYr4NP;ksGuog6o%
zyTffEySir9Ey(rD30Qp*zq?StL%4m7ELYZ?UgG6{o{-tEvL$Bo>_}8p!)Mvr(l@iQ
zZyY96<2mk2>v|T1#p~j(JZH7+m1CR^5i&Zmepykrh(Pz0*xmD`%j|d250qExb);(&
z>q|7GqDsv!zYVVy@*H0DHK6<A#nSmox`p`c$0Uaw8$~a{f*Zd@PJfK<KR>c(^SSdo
zS6C%Q{+^I@|H*03cbdM`kIZKxm--(j*G8;~5EPNGAU3PUmwq=E)|k@E5%=Mi(dK4&
z2`PVXTSI77Y^_h}ZH^%bjca0ObE#8zeAk|y*<z^Vbm37pTmPN!V&VPCy&nb|_9Tn@
z-}d4$R626tU7Nb_xWvV$FXh_Ot+HP)i;$10d~~(qu?ylV-m1y-o_aFhYhpHYG#82N
zvNPGLA4wgoSCx8F&i<M`kn6A0pG-5_b76^f)ghRbSdN`fId3)HQ|u;wPow|hs<$iC
zD|ArKSZVvcmw89*I%??(meXBNrOmh3xJ#v^guH$GOGbw*dsKm&Sf%(XsH9F;%}s3D
zIX|>t75jcyN-3GT=8IN1>*^I5y00iS%iDBKjTNz%BXX%b{v2IR?}VmWbn5p%4T9x%
zj(#ib|Nh-8O~hVIqP4E0kz?#UaV2e}$~#}9$i!Z+$mAe<RHKVpZPZcJm6RuzT~O$-
zueN$)U3YABM^D?OZFyojttG>styk4F&E^HOhh@+8#gu5TUy?z+1^Vxp`l1LY`wQ&Y
zj-ti-V_K=-jU}TS13VQUutNI(6kV4{U)SdxsGgq2N(<7k=sg<{G9i3KBmHWskLvtT
zO|f8CZHpDNBB5WkgTAYyY>;mC$R$;7;ZXtWRr`*zXMFxl=H3%CwD-zU{XJQ7V|d74
z3)&i~<Z2-{*9B2t58oJ`4tMpgU-#8cMrX8z>z?4Xv3GIzF7sk%r4Lg>U_NN`P&c~Y
zS!-77rf7cYK*zCuM}NJ1w*GO7aK-M|tvsiLOMYqXaOrnkP+2-z*KNaOTqPd}8Yd;D
zuS6(3$0JrFU$Wr*Wi2*WHp^Xdd3ZO^KC?VtT8H4HyhxjX<U9f4=!tSq^F&r&8pp$n
z-EykmsjVdM<qq?Xy2`AJpPkem`?;QLTw~vJvQH<%S7b{r<64`~%d{z8?X&?#y4y;j
z!{k9~qJ~HIG{kMW-v7)sIwQc7@N5zpa?~(4a+hS)oLAASvpB<!3(dOg!pO65`Z&Ps
z`@m5BI1~^j6?#w8%IagybYcIbWsB<O$5UocyO^eOEj#tnL$?dvJg|z`;P&iIvC3k`
z=izaM;%v78S4H*?he`3mP9s99!%0Fim&sQc_dJ%ap;*ptQXan5U$ES{GCR$cG8)r9
z{#_}VHzg|ZVjk_@NshY90<$x4<<hiJuxlW{=jmS3VPjiY7Z-<AnQ+&69P@4BeCF)g
zdP79e-e_NqNBs7d*w8H2xc3u7hRH!iizFr^wyuuV$goIkZn3!3+%zLAD58|^H#Tpm
z#$-)AC>>iT^L8;_n4wgdx;&7*b%%vFmy^jI52eIS<;v$&(%vhl892Jj`<OFr9@Mrt
zrKZaIx)zECK0c}{%idwDD#84a#GPKBH5QXk>4`nQxG3QOr-z4i^U7udZ^N<NHyVMT
z(o|X>74Lo5G#g)R8OOBtQeUVw+3?DOmX+=2XDa7=LFX!0ZkpdCfyjA}yxq6lT&CLM
zwmg=LG1B9FwYPX@>=?L&d4bOf?JRwQe8lzSZs_2;K%+Dqm&j2saP-#l6g?L2om!~6
z=}nxEa=4Cf3@y01CN`N<@6i-SQ=~D!-{O=sKIQxH*y*#5VrK{QERUiLpEPRy$ziUO
z{%omkok!o#?@-L}W2py!6p4^`lo&R*Xc{V5!wm9ivFz}h^uJG69PD%UbIQA!-?ZH|
zc4fq$8E1N?JgN)SqGOI&F&^@JXbbb;=f!@gFjcTAulI<6J?}%U#GigQnn)0A4?k=_
z<}LQx+-R;dx6+-(qbhtZTb-@-VK}W})<idX%GA-5ZPBE5Y-Ep2ieMEk%?H$zE&(DB
zGHfMZoL`b)n!BsvV}+v;hwr@#J+J&_V@&;gUX7U3g8O1^vv<Z-TvOLqf-L<)Bev{a
zO!<1`?{#eY=7uGd&3vbJzNFvsZ)+=qe8N~X(?Q=Y7CQw^O(B-cS4HLe&R=j&Ju{Q<
zK#9lZjOL3@xjggqfaHk;ab}(rG@V(tH_6Q^HakG0Se9_%lMt!A9Jf4t-9abKu_5O%
z3Qf&y#!t@Fc6Z3xz&{KdKRnqsrd0Fltxub2z2*&0j`KpN`OMrO^+9jG&h<HUaTSle
zLta2~uU`D(*8#U9HXqHTe&Px~p1&pcaeGSMD+7sk$)mXsta-!g^IELqS{}|F(0;$p
zm>6WV8@iYj8g@+%w@bc=e7LQfo}|SP7>PaAkm7F<_gw-QJcKW*)V0>HS8?n<t-3*N
z(is$R-FJzl)KVQvcj2>e>X!4~5jK;e#G!#+Z{;2e1*uWBX?@x6E&Ec9e9bIIDs1xO
ze5qN*e@+LyUR^R0@hI9_EOY%qiXp$m!!G_aMjI{~i7*62YLBHDRloCD2)7wXlQm96
z#VX@VUVhO-=ul>ujnQUd2cu_v6LX{rqDlV=@oR8J))ryD9LDYNnfWsVcYd^~1COO{
z!G@=lvB;H2qNliTIMFQqj(7{yZv|-$R+oB}_ZP<5iej^bADv>pZELnYX7>7B(l+G%
zBB}Kge#5=;>y^K3IX6#`Tfk_p{d;27l}{;O;Og3oU44K7l>PcpoLqSQ`Y3prf&^xA
zG64ehl5T1!JeE+Q0)r6y-FPLw^QG8RiW@K?!M%SZEzE8rX$8Pz)_56`XzBROeD*<n
z7TtN${zw|B?g1KwkY<VQeR7aa7gWcM+#qLt9xfnp%*bfq+jvj#f)oUk=lZT}`T_uz
zN;ESquA&RxkKS)Jgi#qzDrEng{DG~w?eBwq2VE#@WtHc=n)oA&y(W8^1bR25vT0$~
zGqw?X5xr<kG_x_PoU;lTvHp$KwluA+RzXu6O6I4}lC1+-w#xZQc>=E2Ci*#adjVH{
z_9*-tRBc!I4I@4D)bs>p2>oi|{q8d-Sw87q3K*#dy=2Oce9BlVx~-u|2i@BW7`~od
zhnuH1b`Pn!-ImLwDuV|mEoK~LsFHH$XVJ+{)=SzAl7KX=_W2Z||4R@ao}L^=2pXP;
zbaj1HERcV(SnwwspPnu9<ghbMc1G04dPE53oo$iDKS&!G7y#|M#2y8Dz)kEpU9o5|
z6LuRuq7QGCQE?}HvP%fE$@|lfKMa0C&wA|VeV2xe%E+NZbr_1BJLlHS^5MSgXrG&~
zpMAJ{R^Gl&^4b~=aiRgDM3S6@%u@S5HtLYlD1v~R%1ExmcBeELS9GMXc~P1B>j?13
zLwb4#b#<4)TPV#^`JFmp;?NhgRHM`W-ecx4O?naj-<u*o&re?6NpDUJ7KSw4-DSUw
z!C;^f<p-9jwb<@u&fgALpEhb4{6|rPOx7|8t3m{+V5v@)1{I&EY5we0F!Z!$*6NDs
z3j>2_z;@f|dl&tWW66%>qraS#D$qtK12cFXN2}*3L#E~uRWe#tr9ITeqTSH>AwX(!
z>O$X_JVPh>Lu@yp+jZy89dG7Q%UJiMOB;vt8!7`u?-umLFKt6C7{6Z7FyG)^{|6Is
zr8x>LKuKQ6`fOjWV71(mvx>$rHb+v?wgMg3bbB5KAuU5gVd4FIaCyPmEB@r+<pl7V
ze9-@ag;|6z;7?d-^$iTHX=^6TII%G?+@a+JZba~{@FUjH4O+!vr~(@W${Y{_IPNUS
zwOH=xQ#Qbe_{mEZQ54bbrX*P7(?8VtY$X}xsM`d|Al}+?^O#KUv0B<bePMI=YLVvC
zo%UNMzs*S-+MB~AOF9avA<$K2c~9aB4%1CtnQof9V(ST}FfJnzqAJ0++ffP*B^7E2
zDKJHdCAR>UKyD(-x|(lwn!(3nIM7If(Hi8BH2{~sJNAh}*r;5i;eV3d8<aM;CSYg>
zMGKdfDapH~;ALUiA|<?SI!k{!eE2ZAiE0gJ7RiB-!`YkBaupo98T+uFo|u2JB?(0R
zh}r^fglV^K+8-BxL}cU&0SP7Ht73AZXe5f@fB?2@PCm%|itB!HX!%;O9{ZsqORs!Z
zuWm!|+mPRdiqQu}XqpglFk13w;r&98tTmrT6kHfzY3_j=`De&)t!ecj%ill=S4K+=
zgZEQh;m|66p23k$*IX-zjX$;Lrj1Vk7KK=jl%#IRi`?en;jxH-MbUM!v~1wzSqSt_
zOCfBoNG<p#^_4s{QHAlP_g@oNJVIp7n5}n7Q1>&yWf&1_>3^6^WOA*YxT88mU3MHL
zwDR5K<D(=92Q#sv<pTajO0J;eGrbG}+dUBO7(ayoId>2B#HVrm)0@g^Rc=ctHoGQH
zd6qWOA?7P^>!qSY?JQ*{zp8;@v=zIf2d!&f$lwkpo>)yhgLslCgG|{@%Dy3aPs8B&
zBqUlC0x4B)l9R!9$)NIb%~^Tk6f~oI9DS7wQ6<P-l%w&=Z|KSxEq}=A7q&ZlNd{}Y
z#p*i34IQ7Ak(Gf1I7gxx*%_h?bq<*{CX+du08=7~MmChZF|0)H;R+0U;*bI6FY6CV
z>%x9EK{#|3=5~ES+y`E_8iy5a^5RjXrO@1560-ykq5NO9y7SW~hj?|r6~q_7s^CMO
z508KQ=0%iYy5Q;>%KX-9bG;X}2_(w#sFs5Icc+Ob`_LnY)4X#xIjw*`PEJXoBF7!m
zWqWaY&Tf!oSYR2xh6&E5{37?Srn-jt<oy9#BpZYMnf3Gg=jaVz1qicrshI4O(dBZF
z?Qe7uZ|i2K#x#8T$1yQt18NT>rodT;EG3{^OZ5A&ngq!Kj{!x=44A_Ua1ma^ovVpt
zcwc8H-C6FKaZGGV-Y2%t*^U19^pIsdzOA6gDgQ6Jb1oq%={o4P)jBCx3%v)!(XqEd
zJ_5Sw%w?|7XcB8_v=(NHA!M6?N(n8fOx?eI(q~N#yoX%A9k}x!w=O3EUO>D7KY6Rb
z0{D2;5>PoyLS|mCYuhAk@P*TwwGU8D#WYaga4<JVZ?7c-AJSD1t}c-^FF2LJ^d0G5
zBeyXkDr%s55hdq;%|-j8TAuYdX<9BaU?Jad6-f#{MERARTaWd7*Kl*AnrALE!`#`p
zl+QWieF-4!A7-mnlQD~Tk-ko~@O1Dz?=q~c0M(je7#C-bZs5^c0XQSWUBrz}XEuEH
zN&%5g)`@1b6UwZF7m!kJX?|j|4z<%y?I!UwtdvJUJOZngD?ii@qPSU;&LolXJZoIP
z%^hW}mQjbw8!@?2v|cA_bPT(0ArXP-fm<@D$Bgk?GN>=jE!*>j4<9+Q0vR%Fsp>3c
znMJ;^3lPZ^?6h~1Cw^@tHirpf)w2?a1T_SM>O=N{xr2k1#(s44h_yKRRlw0NHVtL&
zf+vzv_PJ6NMco%h`NhSSazq3w%MQ#?Z905r%=w3?nKn`%aS4&gE6O583uelWx&94d
zg5cR>#uFL0W;}0UMhNh(xMf4U-#vCzXm3QBw>-H7(|4&%3;BO6`Tjw~f72GE9e~mo
zwYB4ZYmm|jwahq3ssv9V!cKbAuN}B=T#Hp{m=*Uy?e!*y50fm%HCVv4QpY$8U%_UP
zY<O#d`+e_|N00K8tP8p>2h$#|(3c`(2Eu*t242}6IDHE0;(|XJX-_JlvnFW|5~Q^r
zjCiDE4L1GF{?hsBtyskI@UJ>0rQ|zoj;RgzU)z8e&MNv$>;IZCnXF+|=o+a6xEdrC
zBjD&Rx7|r0;J#c`Y<ayTaEAJ*je8bV={~fnI8WFghUgcfaz@PnN~RPtM)^yF3HhMe
zb9fzVoaz!6K^aCixrUYnF29nL2!kII!U9hVZ^Zof{L<c6TQjPT>uC&l6yk0yn)(pe
zS`w%RC21J+pCklC5SWXxuA*S?IeXb4=w~uUfoV!Pp$BQgW#EHIT`4BX+sf`T822ZS
zDUfXkuzYmlhh>|F*&Xxv`)XrkT2G<6$fUH}B5HIJsfyv!g&-3A<q4&rspX?qOWH{1
zrrOVDR3lvGK&v%6VL`Glr*Tg}en=x#<~Z_NRn_*-v!D$c(oV?ngFFmTkuN+BUq0$(
zY6cL<UI3l+)J?E>;z8wRDB=jH5^&&?K^t7;bT+b7Y*6>he^6EA3HvQ3rY&j=2bM-8
zq38UV04YeHpPOODTNxXR<~g@r1b}F3XJ-w|FFn@E!h*B&s5n2*SziUAo7^PRMIOY|
zHR)@kp5`;D2`n(mC0vUxAOvR(){*3@=motz%9d8Xr0#mV>5o=t;!i=7(xhX)(|<4>
z`0`q$Mox2f`)q{v{$qWT@3iUu{oF7;5Bd0M3kQ*B(HT!LYt_^wfLf9nB$7zP(!Y9O
z68g<>WH`|_aEHeIe(=IPFwk>RqbMZg=LJBUJk(t*LDqy0AM!&Ikki_WD**GyCB?JN
z1(NxI8bM?pit5EwhYv5%wzGTKaYpE`@bpvnx$%}t2L&=P_BWmFRw+O$kSs+y0`u9q
zp)7W$W8+5hRPZielOtgd`zdC|a!f$iq0POADm#f!Wf)e-p_GZ7Fei~@8^B^@<R%M_
z{CuM#(lenPIIRF@J10CC%X}gPsAZaYfDE4mfFmqe;BEee5G1{&>6Hjq$r2HuqYC38
z-QKr3Qig~CFdd2Z311EStgdb}?hb2wL`L(doO!|8KU*^75KeT=?}YZ6PdbcT>mXV}
z4Z(^($FcDMT&ZOPUu#~yB3FvIYqBM};f=;xY10U85u&_BLJC6qQa55^E}>fYV#$G>
z@|lVISOI~~zd9Zis;w<bqR9*{(QPL~kh-eyzxR@ySh4urIV*JY_<ydp!D(Xk{ck?Z
q{zGL$nY>K`QvdfyjNDn^9nALTU0?lbF+N3wIJ{q1o4NPY#eV@_mhVXb

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

diff --git a/_images/sphx_glr_simple_arctan_fit_thumb.png b/_images/sphx_glr_simple_arctan_fit_thumb.png
index 0815aef36b3c4ec84923aff078c16ab0b3ab9096..56eeb1368f5cdfdc72dc84ec0748419656763a88 100644
GIT binary patch
literal 27068
zcmYhDbyQT{_wZ?u?hvUFq*J=3ky5%rQo1`8X^;>_8k8Oy=@Lmnx}>|iVW{_v&-b_1
z`v+_3%;ny5&)K~{o5)wH@;I1}F%b|Da1<3})DaL6<G~L(1{(Op)iB!!0l_9jQRaoF
zclv&YPkQVG<<B;+lzD9P#ZN|G;@S18lK7eTyEq9fqcI<mu;dU<TNb^gds+BFijZ09
zBEZC&`^GnU^Rj1k&@3$8u3K<%Xfx32;3o6Z{&L|o{WN{k=cBAlJyO{gT}Znr*V;=q
zos;-;+o@lsT;$jSXmY{i*k~ckQCvu!@DFr85YVE5>*^sf2;AVC4w5%05#ZOz%P^iw
zf(zT7WyulEdMDDw15(BOE^asd35kfN8$EWl3P)<JAMWqi3~FP{dp=fr>}nfwOp&a+
z-Cns|?9X~>?Rstv)2XHlx@ev98cM)#LPF2L!0oakW9+?*>U*};PG;hd`17#sVen7N
z^9Q&4a9paDykuk8(6u3Elh@(K<zi5qt&hj{XlR~Na+Tc_$3oCUK)NcU-^E^oDMe&t
zr1Dp;caHOoBj4rmHU`qdBPz_gqJ9Ln=qslSCOEZTZxnCX)CX2<x}##F1;73-SLt<V
z+~~e7rL2to`t@rB(X(Oc9}csm2z9fu6SfR|d?ZctA17?P_B~hKg^$nAQ6*(6blD;>
zii(P^uCEbIYxKwNFXPkGW9A)u9Ea|$ms}eZR8$yfX=(RU3vhA6kqgFBJUN+}AJNdz
z?0Jf?YL}Rf<*SUB8jwjyNZ9jJf-92yL)+SdzBH?AXjD$y|Fy4GUT>OroGdp{o365?
z;Ik$6Y|5}2NL}9D?LS%XuTENiv(}sNMBM-D!`)$!jJ*7(q@)l1>)*h3r)YC>Bx4nf
zMP_B0=o|4&{<f{L+Mxvh?^x~~r^)1}bX5Ms=+sMcdp>324t7wxRNu0()%)1&{(6%p
z443L<mUzI?<>ltq$aldfxUh@;{%^9;SEoY~+v7z<Mvd-o?qKIJ)MBaXc`qy7HdXcO
z90#&rgz&6W(9jGOzW)BV+2=Xrml9`-Od7ufPu_HEfXGw%kMz%;h5h^~x!`vw)|bpV
z^x+ZF)n-<Zf}&!MYKE}r{naY=6T$exLZ+8VOzr)gZGY4x?m9nGiEIt$AS0vW($mqs
zdqngsJ}F72!F8Qn$Q67**9_Z%)*Es_AdrZN2-CBzk?}Gkky2cAJnFSiYU0alzdwP`
zLc{}LT#j>s@CTD}81~-Z-E4z<a<<*_sHE|uYBJf+)h8UxH;n<YRdz^yZjCD+M{PNr
z{i4LAEwgUHHyQ~Q^Hr_A-V<DOu(g)G@pM2?2}nq~fMikd+mnNvtOH@RUg?bN?Cw_o
z@%FV`4Ec*lLWZ&xfuGJ|W}3QThV4(|M1NJh>F@>{oFWk<URha*(Am{RKuwMNv(mf=
z0}IQ1yzq4rr%7g}nBPe!ks6onI8(lA#!DcLss*1+0<S}X);zcDBM!X3w$?7uO{kSZ
z{3`6h^61f{Kj}iBrc8n|fDF5wto>F#XV(A0)DebbKA0}VYyUSMtc@mkYwIn))54#4
zI_WKNgz$Htfa+|5P09&+xKCo%2;+B{8E*D*%U8=%op1Cg(yfHh1e_6M1>FnbhKCG^
z-(bH&Bp@a2jv#niznSUxmFo=>h56XL|LK6}-Pstg(?UA@F+h|*(nzSjeanO=er2jp
zf%BMG!LQq@`gm9xkK6mmw9#|F&ucM2-q7%g<V@e-wmXme)+_3uTNk-F>H)A1qccGp
ze<&^v7l#a-TDr#6BnJLgnvd=9m~~=U4P~k%KxDrPx~xpxUg1nJTcHAz;eIfe!lG4N
zVLQPhetRS>{&4HIF_aZI@2I9Rbai!g^w&J@b(x{i&IGjQc(td<q)l8=Q4#1X0VQSh
z?0){6j<6s0(}cnKDrr@Y^TI4TWief5?dz_UuIn#v@9umKTP~f2Gk}qL|J-`;Rh7l>
zA21YDRPLaAf7~a6KZ`U9B4T1tG-W4i9Sn-KOZ#%9!+{)T1MwkddPTcG9UP2+gpACr
zTS1EeR2Rr|QbYs>E|qXnem5pI_F7Ij^*6%?*Ez5wCAyVJ;T;Lj_JAd5Z*NCILsQR|
zM1(wjTB%>ETdEDzJ-H|*#(jV0bFmh*%J<wBF3cN$Qabjgt1D;suV66OmCi?mgoNG~
z)7Ibv_pRY~LT($mVh>y2<6KV%1jb7Ap10l{h!}E^y?giWPlkwq!&7lVL2`uX^(eC=
ziW3ZA_+4?l=3LO>Kfsi)l{Foh0SlFKwo4k#FlHQXP3tL~VKc?SpY3zdV91dw;G`OY
zhU45|DEe@Fs#&bbtT99IRL=QiO;OlmrxR?&D4H$-9TOAAuvpZdbJM(yrBH^dvCldQ
ze5bz0iAN1sDH#yxmQE_~yEM(G(@=>t*=6z@mXrd0%Ci~EKieJ)2U74E=>F2`s$2UR
z#ql0VB!)JWq+skfkmIA%)9(Q{7q=I)PWFqfcZnxFYYs7({qd|<*PB_>wGNca%gb=h
zPD&!iBxQ@}Uw=7!<<Veh6H;q^Iv3KvE+tbjyMKFkxp)iPE#I4ON?r`SiIt0eyzDIK
zEcoQFJ->d9ZI?;Voh;B~CX-hG+V@N2MH-sr#u@M<@Vj(WS63hHJ0IW7Pjmcc+WuZS
zl{b=zQMJN)h<asZ1p^av1zi3iG&JGs*WQ%p*7d6&MVO2ld7C`<A$)v%N`5l*2B&i|
z>pr6q7>J07a0hyHboApkn3rUs)?pS{gw^u4`(L&-;7}8-h+lyXe*gac)n4_Gpz9ij
ziT|<ev*pxEQ8kGyVUMUV97^?8f1iuJX=yVvGyOXbdIcOGnrbBOHB2CGoj||w2@*ej
z+MX(>`OK<g)$@^xn8T1f7&yc{Jp>?IalpJI34h|$tD^U8qDt<UjeX3gTVaX_7Q1rL
zbeQk4JNZP=Ie4Wj8hN<I&kJa)N}c08@DK&Q=R11*Gk(Bb59dfvSG+-9@B94Sb-fSa
zLs(dTsXy>^-{s>rVg(kKz^N2i{7%HC<d5+?Y)NKN`ZAoSM23b(tqj5hxOW4e<Z2eF
z+Z0!U)ew@CV+5C%b9P0O4OJCm;Nq&<wZ+BZf&cbwyN?!Yv66Bc{{aq34g9jrXzrtI
z+w!}c%Yyv^dPc@mAQEn4Dgp%f_>%9CP{A=bpHCWK1HA*Us!{lg4s0m`lX@=3^~t&t
zRHM?Y3;rf*S>iTnm$FgBIj?f0Z0-mM30<{Xk;8WJqJ>`d#Tx)Skei>svb&p>-$<Ci
zs}&{Bx5hnoZit>CG;7ZfEOPq~o3X1MX!)qJrr34;{DJaD88b6;isqZmRo4a}QCBxN
z);w;gKxE=aVx}}Qt)05fyRleMcs4#)ifv9E-d<SSTX*yDT<CPSp6wNQk6M>BZF(KL
zHh6Dlc!8%kpAL$U?VAH9-oM^wc9CWjL|!IR_V#&yi6nMI*q%R+Xb6P`buN!F`Y4(r
zI6@$vq-}W7U5S>?;)|SX{yZ=%@4nVy$&?X+U*PE;h!!(Jy&UCxJDUxeMk3X$PoGYo
zTXvtc-dz}wvg?1C-QNJVS2<HuXja&gO~gF&VUi|{5*aR2%-_C!6ZAQu2OeZ-yLip^
z+xPDv<YNVq5YUeKD|hm;x2R_Sg^4kkyJokyr$bW?Tw?GrQe8?~8pIHvbfgB?d=XvG
zwqASg&!9@~&(tu3EzG|GVH@ze)X`m1-{oSfw!Vq6=~aCI_5>UWs=4P|F7gvm(rDDW
z*@1eORd3jKfs-;KkKcv8=fPa$yrcD>uiU^P3D{VLa3n{+2tlg^QQ@4UfXB`_JW`r=
z+(Sh}8wE~|MYGVkGz}i#3UxR8oHl>)DkGx>cBa#+dfBtdX1<Z{=3;-fcGeMj3E0=$
zqYk_h<Ce#-4rc@JV0qW*7M+fD)~@wD<k(@&AA3aS48W_ba2ura+7RB~-;V>~+|TS-
z&Q?f(0A~Si_&ZA?=oy{M(b9`A97a(Sww9~iv7(oAZd1+oAcBt9`F)OrVmeu(=YO+b
z2Vz~uXt5SXTPO%RL4@-O);BekJUsjgI0kU@>26~1ShSAM3A?Dh;93eE3k-0#r#w7~
zQlXgeD0{NZNa^xmp4qrr5PZ?G@2S!1f2};CsFchxprIy)`tu9B0Z*6ezq<sjHab5I
zSWA$<x;bnEHcEA-0rmIq-@rd|2i|%E?-LmnWj0suLWZOC25eRsRKCpQ9dNlq{WWP$
zttqhcUF27#`h4B7lwPG!OL+buI@N{wFL7wVgXag*3vc>Kua2Yzz24{QaDD8x0dYP!
zLtLd~skT7pt$44KphK}jEiBcH6V>}E3V8An)-0XOQ4uIMUbvib8%-K&*7eg0IT`C>
z|Mb9?G1(k0R=py`%t$ztzfeoKABdKhosVdnPd{QN5-~1)F<2_CD+|=qdEbF}d_46-
z;a`%ntS;z=CKnUD-hUqO4vEVYVb06sqc&?Sw|VwUlB=z!7+6iuWH)@D8-sKvgOCbm
ze^z>T(s?1}bc#W%_~*fV@h>EdNAJ8ATVU%EKPOA^pJ1=|o50-G`(E7N9`&)lDk2m;
z`Z-ZP>+_W)qCGxYQF$E4#7SgSPEJZwbHfheyZ;!f)f^TVhnawcTD1`UF)Shis-gN4
z^M?&`hH#Poj#OvQZgDTsx9vzq_lM1Jnx#RJ^VIdI!N^7nc-D17xY^@(b7fwr``UVt
zY-LZ6FJS)1c3;24{NtJ00e^O0&C@5`D=S0yN65-)XgaLp!`4~t?@@Ia%duQwy#7as
z=_1gGf~>Gvr?#u$prR|-ukUfcQu&VhImuK7oM|;ni#?9<3BR$_#8SSw_0Ev=KA!Xa
z{)>nF1T#YfdcAY9z9b~NHEG~sl}aaPNUEBpJvO!6k>fbe%G%^$K-E0Bsc!X?=-JPi
z8exphelN@Q5ZsNPkL`BlMZ%j2@@1msLFPl$TZ=SE$T|9a^}8H}dK#tG_pI8iXInX}
zF{62$=?53HT3cwSc_wx<#5)rqx%4D``?HilQs##J&k~BCS^cTMLNNG-(%EI%>Ur1#
z>%%P|GWLGK9yM7Wp5}Ca*;sGryo5l^k*>#tLxa28{URKfD*)D2nys!eky>Q0M-|Md
zrcLt7bg3=*5Xj@a4uvTBLA`W24ken~=C3G{SNX~tXK&uj2nZ~eAls@Fiav;rmzBO>
zaxF5UnJgV^K?_bcX?4~w(6|9%+TMf-#QBPgo_?#iRFk>p0CqOEce*>Hbtz{YM3w0y
zS04KqHRz%A?%=T8VP{PK^u!Eb55AkO$PnRRi_P_BCz{)H9jo(*epDjHojoddxjj!P
z!(bk@(T*oHYI~TDFJNGUwwCRQSaHa#$e~3`od*=xjN+qV@0Xza5k0>GRW6H&!EC#!
z*5(vf&7=#(?tpL|<JX9z#Uz?#=|Xp`<%LeY)77wr?GO92<#WqiT=<Xq-b;nvi|tRA
zHWH=_^WEIMdDEC$sCT*o&HqYX14|XB+878~TRZb>^0M;_yn2yAg+&&2*c!s1<ZQI`
z^$_|_?;SaI!@K9!?)Xl_2)>tLRs*Alu~blG<8BI=z@lWi@vDN5_w#jX);WQJuUZ<5
zlkNw|eog6U$y1EU%52dBi+Hi~={>3kzTJZ8-OM}W)S(ChTcNWKyyCvd*ohYxx1UwE
zN4eY!#V-$<j+R1p+FXQqoywqJV**CA-?dhK5AXv{+i0E$Kijsc%Cg3(?OINtcSvXX
z?ye3qC7c@O)$UCv7c(4tte#iZCgE8UcyH8bSbv`#hH2it6}3A|cNa5R^15BbqqrDL
z%p>MwSi)1_Px`b=ygfASrs*I$CyfW>T&BT$a}Cc6pl`S=hNi0_apEjyl@Yv-w};z0
zCHOu|hzW~9WYZNdEDntm#QbDt>c|ii0&X~N_XaZ{P;HwONUG<q_Fd4mYry@Wi0nb5
zlEnxl;qTw*Da$|P0ao+E0VY2RYmsG)eHA;Gdtu7%KYE?oBA*CmAAU-dIcPIktC_0G
z&k)wiRU}FnE8sK?FEf(O4Ak%3Z}m13>+Fg|L5mW-tx%BpFnQjvdA4wM3{gq5^-JX=
zs+{H>xPBtaRORwLqW^OsJCAynlCp9ezjOA+VqSFba)<B0J}F4+_iu_cWLY$ahYrmI
zpQJwHP_@{4l|W{!;B;7|p}(p4X>=^>#;{hqkXG?wfm4Sb3vPPK_(VJ-ZV!WmuhNHR
zYNk!d2ox0wgj^t}HAIZ=!G7mj0TQ-J3K_z}*`1vcAPwcqnspq@x=$B^waQ{8q&ZC@
zvIy(1LCa-cCQtIxp4?rgIu22n*2%x}zsl)dYKQcEj09O*W42zkT&}BS0KcH1T}Dsr
z*vaj!Orsas^%63BlZ$ykP~eT+N8%#g*Ql17N%_}nMC_alva_(Q?<~QhF*KZ`b>)~9
zHe)=S+wM_MBsi)pB718cV1d&-3G+?o_q_=aKHCUl7JBvE2uy<ljY9^8$g>@WlWA*+
zni#{%>UXJ*j$Fl=gTq#$?Gb5<WvLc%uQKDH3%!7>^pf`%?dazLt^SZWiOlorM$KOx
zvc)=6t?t6Is+r@$lf?|>0uC&Xii#e-gb>h@bztC2mo10WxF6l#`z74n$S(M)S#)9~
z7&UR+&m}Sl4~t%=_kLmbW#@j4ejZN!lIEw_^OcWOvY2F(?*d04RJzYpiMJ<JtfA%2
z-=>5;$5U!I8^#Jeoc&fFQSHS&8QFzu7fD`iPzD6;mZk=EQ`B!h)H-;0Z;w2^%j}@z
zamyFiC`#=8@Ca5Xi<P11XZ72$t~ZGpQr^a~a>!ZbT{$VitGU+CDckpDqB%`qs+No;
z7dd}ZkH9F_8)a$U%euABuTJ4reDBr>*@0cM66*GpiFIq>MahLqfhwf!zW6RBF)=V`
zQ#Iq-=`XE%cCf-gs(uhbf_T6Wjsi8id#7eP_43S%-ya^abn;Z0zUwW~OPw4mSGC@_
zCnZP`Gms#Pi=S=Qqo<X$m=knqGCY|(9a55#`V~4`OpfTv4diVN)9TOg^kv^?*nKqT
zD0-u?hkLhvk@{r2jLd`>3Cr6V$9b7A93+Yg3R&mAXr6du1<_}F%!v|hy)BnJKUX&k
zb}|p<&r^0LJS0KVZ#1z+G1vFGzwy0ZrPNwMmOGc@jApKW&6!_MoE_ye6~gONHG(E1
zEp>^965HfX87j>*eifZ8S-E1a5^WWWJ>9#9StpNRrxB@8g9Hc*Td|H#O+rBno;cIW
zE~|Q8l=xV6L0K6t)u>jFG+rbzTOst*UtJRKr}DO0=UWNl6(%uTZvz~MX%hxBWc6#u
zJ-a(^Z>rzCVPP})@rrIN``zSCvdP(fA_MF`KdmaL)y13yrN(a8>zfwqU5R6Z?9B@q
ziE!HqO)8zbGEj4xxmV3NtM=WZ)6*|arT6*JAKC!XGvyz_3A0m_40g=-P49Zl`>H<;
z8Qr~Fi0hR=aX<jy-SKLpP@~IJ|9c_-^Uta6_a|6$ZgF9pCe6BIs%gbOzFVWHA8A5*
zXhOELeqzm=ZpZEDevL=)^MZb#u8+&M`0c*S4h8voSen!OmZqgHN85uY#|+2G{M^FB
z-io?$V$a`~N0K565upQVZ*H^$HikSZOj~`moM2cx;~_Y^?L#^PS}$gIltX`^(gksy
zZKK}cNnVnfjz9{vsB9OI+RDPv4?-cKwET}#1>XH8^7wuq&d{hBX#Jc?2W_$pRBugT
znpY<1g#oM)ME(xWdl)g4$ez(*F!H}9H)i8Z7}#N6VeOUQxje!qho;b4wdXN74Ib}I
zhN&~WbGv81@szIohVMF<>of3jo|seniMqzpCc`FM&66ds!M;D2bJgr=zi6PGd*4q7
zbevBFoB4>%?y_~6I>V$|O)&&7_4L@d3MJh4uxAC@CDN7}aJlThEIjPEB?bh<?<rjk
z!Gl>trA*(KCL&(N9gFW#kLKKjkKW^M?M@XG1g+5>U50A2^Ew2hia)`b$PBsVzp`Mv
zZPX0<eYuG2gdN;;*fXCi<a)(aYhbtJzfEHJMRIRUqFrxYJJ&_Y{-b8P#C_E4`;VbW
zUjzlT>yVQt(04=BmILdN%N&|2*o{N^CLc9j(oW*1n=gjbOW42Ya*-8GaA3@4jweJ3
z?UQ!ai>PjAKmVys9<})1W1izHH%$~t&-}hDhFTYo3(|OD<jp~o>Gt6gno{o1;QNX*
zH47)fB=JbgWtOk!LM3-p`r_a6JF!TAqCZba>yt_=Xg9|8IeL++z~st?og#?dj|W|<
z`&=KW7jm`Mq2EC9MF`8Kpxz~!DfE<taZ>B1@}YrPzNlMJ*z0HQ3I60~)_AE;3J#|T
zt&2e+P2C}aSo0qji$m!bA9y}?kO~q+E~an)wHlHto}xWpE~x12SrK+dS#+v1Wk?v8
zB2nDarX;+JH!`K*!t=VDh}Wm&57Cv*mVDlcXpd4E%)lKPOtZ0y$s8=kk=pqMZ|QLZ
zb~;QbQl9V$s*vkJKu&m0G7T|Dj7(-|NZ!)dknB7x1)JgUY3AoPs|tv-mRHk;5YhzJ
zM3n`?w>mMi``u=hrVYWHyLRO*as{dxh1#Vvd}S%^@i-a6?Nyfe`UnRNl;TgYvXq0p
z7PRE+Urt2EeE2YHK$Jn)J8f`CZ+XmPcD!ug^DdXS4SCw_$>q%<p-DZ<BSrpilyfRe
zeM5o<_tX$deg-~u483cy*IiHoog*tudlTS)SaMOw@`sD|Wr)jPBxXshpd<&Y*(1?0
zzmY+imr?k|yh0ywm5oFkAs7~9i{e-!hynQ~BfE!-;hE0BKaE!q6p!oZNz3x+JrceN
zEy)q`aY(jC!e7HT^^a)ja-W#J3;x<6Sc<BMgNsP!Jc!zz=}nr<htQ5mS^?8dFr{Iu
zEQ%)#H<d35ToT9nn<M%92$}HJ5I<#vg!3dSbLEl=f<N14IvacH&mo#eKO}i{6AAHY
zf;xM`7^V>qEPlpbp_sdLBDE?w(|)N(>0Al9x-oMJ;bTB*N5{gQ)2&?Ul;Se0M0!8l
zLldo{<Sz8W-t-dHaLF|Ury`er^~V*2l-1LV2PF7VR#Gzll6nHaz;sd(M>gF(Q?hmj
z(mBrxMv;nWWF1M`BL0f{A0qT5dmKkfV$y`~G#f2xXX{$xCVXEby2`$&cD=*w+;%_N
zNOP(JrQCy-OXCGl8TjGnSeFLM|89GKxlcBS)OIIJeO4kFT`OwQIv6S(C~1eQ9^IZi
zUk;+O?6DPSYGWT*_}=o@-3h~b&k^#yM6hE6L8^Cz-2MlHP$3g@|H-GI3yHra*GG?h
zaULQxbSW1;vZKB|<_JW`{qz9!5oA`jsO*~~t|d@fas2f%xj?x=@)lFF^1Z6RKunhd
zUUu*)if5ui$pYpB@~nd5NtXb9aBkBqL4_|zD`J97%P_jZGA*0uk&AT7GUp1Z^9_tB
zp16OTEF4mxW?uRlc{hPd*Zf<>cv0koQ`@Vn&FQ~vMV-xDC_1AQn1KsK^3yEz%H-0$
z2IYj#&XmXHEzv&;<GOHOd@oq7vn6l|Sa>Ig^XPVmNS$^5{X;s1F42m@*9+9i#CuwX
z%7=T#cTP1OdTkU%$cvDp<C{uBGlE;^Wax*}v7rjb*)WqsNBkr_J1OF&pXW!X^=Wfq
z4mW{&8sd^t{Sdd-PIV>}C3l|MTD-!bKR@5;@;h{%oHGXF^nXZkK0#@|;U6yy_2)y6
z#xbH}GYYf(*^klM>u_Gte1-HS`NlLdy5nv{_w5Mb?p6Yq7sr8AXk}PN=V<+-14QHm
zR{`@3KJ<Pv6UmpD2NQM`CB~8K>&ecS`*Cv%<e5H?)1E)RY>A`Wr)l>+A)oYdOL+O&
z1;<xfD}+_&#iF>bV*3uwhtnR*=F1dYs+JWs@6a^HDeUBahM<SLx|qj&FEayS+sc>e
zss-?>JP+tbPB*v}<XZd)6O5ZO_8YMOM(K)9(ii!oQ6q4g_C)iymU@cEigXk)2i<6A
zt#;${7Yj~Tv48I6*3xKX1HY1S8tix^v?L{q#b$j*UL{p}f|$tbTv)&0t+e)WR)#(#
zWdrY2)_>69PcjGn$wC@LAQ}HrZ8Ua}(b$t&M)k&u-k+@yC9){CTm7{x3E7!N#+5jQ
z$X6;;P0)?8dvOA<Z@nWezNMz7u#E>L&WPK)CWUyFwMb7$9_IErr*;0rVR-Ma28dQ)
z<Q3%PtpR~cl&E{TLcCG#Y&9gnn0UHPdTog#q3mIdU(`RV_2FRm>?G5++$Qc|O1SJ!
zYb^^0@}@^742Q7Dz$n*4Bf(EUD#BoGD(go~9mqybf+MnIJHuKfbB$FJL@1+kyKMpo
zQ4&l|5^nDybb*k=R)(rIgM`r2A2E6w=MCY9Q$G?m*?y)+Lf8-Si*)63ZKM+<(-abJ
zA+lI+sbpnpod}unvxmabBKKwzubV2}qI>ZcBh$qgMoSVD-exP9CG}>OLikuB{kfzp
z#+@BHQb{1EZN$fQQMYF;5xEg12JGsk%?c@I`iHCNxgbtWj341-@H?p`nT(UTXQC2z
z?{yzocl`}5Z)L%gxCM%%A^%MIEA0U`?sHJ}as{0Wp#azq&@q(uyh}^TZC_Feyp~-n
zt)oAPR2^*^g|t6YFUs#Nq#LR7wfRQh)g<Fs%HSGANuUU#TP=%oHOLB~VkA+KN3=qJ
zKBP1)nwXu<^|mmgUN(L6k9pf2e@h9264=eLU1~d;IFs()1Y1@8X79#rC$nz~DLl40
zHNG|a(JE>AR@HG5W%sy4qTjU*vq|-xTJi!Jn>>psird=szs6F0xB7i^QN-{!&8e8-
zFPTa1RL`l1QL7<)Y_XO`G>e2pLfs<i_M*utlEYNOQ`-a3AhAtAft>F`Q;t7UL1ydh
zuE+B8(i(jG-p=XfYL}k1UY{uKqrZ~)a^zeiDdH+~nk8;DV2wpO&fDS}d3#qUE@B#7
zyPlsWbI_!=c6T{}WcxGNo$*DoQt4p6DhY+S;mx$U55qUBzg<z0x}}i)8OyuO7%J!&
z>+f<!HGhwmVa)|bi$Ud+_R(a}PiB#XJN4Jsn>#nh^IkKVHe;PQiJ)YVo9+Zl``pYf
z`GrjnLM7t)$5o7hLG}r5xczjMEa(<<f@Y4*<^BDQ)An3LHRywB?M#-kqKg`rqe-hC
z#lW7OVPrD2%F1>ttFw+M%Y2CLl!@M(%RyGoduiJ$?3C#%{cw?nyRkpJOUrE<410Wa
z11*9^<o64jMn-@dQ|~9W{Io>Rt?a>YYV_)Q!Gw7H^Si%oCIc~8#P~Mz`YNx&@g(X9
zZOS()TU%`hefPemuD|c4@_GwWl<^OIPv5-J4-dn6F5r9Vc)qS%Er)8n+O6NSWJ)zW
zTccs}D9)4ancSgP5#(egdRuB~oY`a4poYb+t?i}^Qv~nk5}Iv0ufJB_#+$`sIf^Rx
zDjxRP|L9$+(yTp9M<!Hnsw`DrGbxp+?rqKx3G=u2V;WPv3M~>|Ww01;l+=!#tdU?u
z76dUFd8m!&R2giVMuKCsJZoeBuspv3lKN2ImVeXn!@lU*ACSX|vy>XxHEKaS@2*y>
zV1ptI*K(fp?t)KvoEAiVZjXBa=%58!NNY>&AuFy8Yd}X5Q&U-hqx=M#I+ldA6x)k!
zZLi-@xPCF0U;DH<88Ls5BvjYTI@<Ipf;EliqDW)s5sol9uS4oV^^)`3E1Wcy0A6vJ
z!dj-^cu2seDvqM-kQi*wI%^vti@PLpmc7bGqj3zh>sauqePqywsYJ#vA+(aA6YU{8
z0?QQiG=9qH=UUJo92p|J=Q<`66j#<+MYKY`ye)se%hyncpzlh0_fY9O%Bic5zdqV7
z@G!lH*-=@b<4wl1|Ngzb|FFxs|CHcd;8>8rYOV8;ht=&4wB$1J(|JR0uY0+FP>_+<
zIJDrNRXRMs09;%85J{xhvLpK=Xwgp%wW90WJ`SEv4sxRzvyr|IK05B(pob%A*r`FC
zEsTVfH(<VT<`P%FvB$sC459_imvB4E?%l83#e6&8=-!sfZlGE3BkoAxbJ0cSWGF9H
zH_J{FbX&>mFaz49MG(-0ukycMPaXx`W5t&*6G4N&A2j5daVYtdK>ssx7fFe4RpD)~
z&9_xq$FgUm2YLkCu##e^D6;v>C<XuK`!=s~h3gaHH2(u3DsRzk8TX^R6D1sW9%obE
zCs3oNQ7x@ZofIBnTF1pQ<k6$$9So*##i02*K3(eXqg8WzUErICNAb-jG11)_YN)q+
za<$4bC;EJ*?SV8!LPBgGG_g{}c{O!#C!o8gu)9k=bBnvPPhXBV(uB$V%ruN}kB?`P
zZ!T>7<YF7WVV3=xMr2P)kWYFOSQL1=lTL=K@)Uk2rbt955gXxL!-^3ypUanvUFTjr
zFlH5!wOAt^&Di<2yrSFZRC`jHBke(gw!`$*MZ&8ay9G2rFC6O6wT-4NLuU8Clo>TG
z)Fa8r(6g|-{MFIHz{8{d>(?)OAtAk$755HSVPSpMEOB-K?T`(?OE9X{TXWi-PROK@
zx3}L1_r%Wjp~4Tn3RLb7SJGNMp;%Bx*NNioYGu4kMC%ia02->&;#BbfO}>+E%0?*)
zUIpvZkr81o9cVsF@p6ZjR@Ix3Nd|uH(3g_I#kRm907I(1{d3QKCp+lg)O{!Ei$QKg
z@yy`nYMe)yxOWBa-=O;<8|%UG8@s8Ug|5rRUCeAvW|iH@ryfNz^1BPlZGki4E-u?Q
zXhC;*#kqT$LPbS0I$%}9xQ|9!;!jiflu*^>${mxHbWFs>ixUY)F7((Mi$$^;J+vfa
z$#brMIF`P5oaWi@xxe!W{hEM7$?K%1KtZ6T!){a@fT90j&xN$c0w^sy`RN8l<CbkD
zX1`BLW~ZO=ZBpr09P1n#7l$j&VSBYsCW_Ik<E3eirdescc?szyP~0K8tNXi@ak6Pw
z*pIT8pwfltb$Rdyd1W<jS6oKwJ?;k*mI!~?cGv0c)>FmV@%vRgtv24bv{iut7u$GL
zqY7=ISi2idjPHTo?0nrDmm!02zqa1+*tInTVmFFf98uiCZ$FIV1my$!Aor14i*IhB
z1vZzr;=HxFM4$??=oyEB)DoMxC%@-fS9_jgp%IV-;)xel_6=^1Gn0hz+3kEVKQ_~1
z&die6*Ipo@ZCJqTH0{NzCo;PADG_uqu1Y*SM#ZPdp;Pn^IFJ7>ayX9st=4{|&0%&2
zYT1uvy|Y<hZRY2FAS9-{b#;99iisjcge>qz1&<!{(YxF0^Un!M#P!?HaEd_PIWw8t
zA|lh@D<`Cw+E00C^zFpUexpXs*`#BH62(uZhsNY$`f+J@_kLo&9{r?ZiWSo6Vu_x&
z-T^^H5nC^m(D9^(G9TOK8PuKKECxauuYlv;4DyyLwCK4mAit-qtn@9^82Oe0uknm_
z^rr*HD`nBzOD>`#2i>Zx+p0yt<s0?J`Sqr6tKw?+<3xsnda2)T^KZ0i!_qAl0~3&B
zW#lC4jMi$5i``5rXvNx(SB0OJzk2cX;Qs2n@y$}mo<L;vYSW>nN#^lhc#PkB&bE@B
zl<0w9LlOeNhzKs!ho*bW3<+@F>K1EmXpQ&K>~7RBRvrBcwWX>7R_XJ)=WgFl2ws)r
zpjvt%G%YKrwON!?rrXo!8&y`heshxbkaZ94JpN_6k85C1mSE1M_0Z&2-^0O_3kT)*
zUyUqqqEGQ&cQ;XTk^Z{<BKUp}gb(OAc--8@#h_<$hEZQ_rI^1}N}aAc@h(e3H*@Is
zr{dzr+)|4@U3uYzZId$c)+C0&W91i7pDVdm;U;Y!YJhS%?0%1b`ysZ}U_#ygaDf%-
zC3mquhT|3&wf9MF-2Xxy?X+%D+Z-wG{O`3l%KTxQb<m=D&iS-;vX-S27QWlF#&%~M
z=VwhA%3`vgA<IV>uf#6Svx0bi9lh&|lk!zVt+OVo`+(Oz?``z(9e0p3GhaSvdULcC
zO=eqdldChtU3Pu)qS7qc>*8tx5_DhEGg<pK=e4<*EtP~sET;ecNabpe-P-bZdCu}b
zLlQb3e|u=8^Iqy0d*OLDT@)}r>pdOXO*u;@d`i!xkkv9gQgu0xo)uWUIbdzEqZvDC
zm=_gDHdA}2rcyuiRSZ95`LQ$GFZ4$oa+Q2oIc6>`R~>kdwLGtm{)E`sv)TX6zJbI(
zwj5v+)a__A*@|(%la1cV>^WE69Bed6oTu0)TRnP1<^B{h8oCvfV<>dB8prB)v7UVH
zK^J&W;d`n5VyfN+b{>MhT;AsH#N2c!g$wVnE_r;AhN==08>ahHFC#Y2FzIkWX$v(U
zft@xDoPJYhEq?j5T%$U_l_Pn|1azMognxC+&UsRv?WcKsy4$Z?9uRPIpoBLNnm?v}
zm<ZDNqfV1c{<xI{wEqG!;(&E{))Cav!w3~-s{<wD*1?`B0l(-*!}oC5bgHrn>Wwu=
zDpB#(L0)>H9Rok4eODJl=@FetLXesbm!aC%?RapA3K3Hs=s01`a6+|%kCuS}I#$>2
z+yY-eIN=6(Iav(8gfc|XRz88id&^S@b(EMSecSo~Y$b!YhB-ea<@(XWzkdw>-uT%w
zIn>^~56V2`WsLupuWXo3eV0JQjg5omWY#*07Lu%}I;r9w%}`(mYJW!mu8HZ$N!x<c
zXm)F`SI;270IW4#ZH))WLDqp(zJ7NJz&$p&ZGt%JCBO=p^{OmzC&o>Csl%n!jQLpc
zrH!9XVc`R&2|#F9fXBQBRLk>6_{sfUyX9@F?(V#R2ZJLNaI)dbgbBO0Jsw%`$r9;L
z&i~fn+JbO=eEeqV=Q|Lrg#+lzqLGY>YG6p>;m=Hs9pD3V00|)@BlAi)EyUWMO!(0s
z(<7cDTnu+c{3>VexjUw*_Mt)3dit_7Cs$ir+b?#2Hw<>GP0)sZ2E5Ow`1p9wpxIi7
zKbc~b(22fOKD({ayna4tdHYiPG760s4`SLR(!N`xFj|M!Y9j%yxVX5UHUYrha&ze=
zC-eYT^NgwEw-I1;HxlHj+ih#$c~-jWCSPfFJHnEuR0&_w-*<<I4VTWeA<M1}94Ng2
z)=Lp^q6X-w8E9jF`0%0P?Fgj%Bb5^P#C!d-4hDE7|LYS#FbVEA05ak+zdeRzk$N6r
z%!DRTI&fk-5FJbK%~UCP*Vw`45D)+)xyYc7<9ui0sknG%-)B}h3<r1$K=&D^l1u`W
z!KWR^{i!InP-uT%kV7|s$a;Fukvh#Poxvqm4aU`0DhTj;5n!ImJZiARl)9IP+q&^O
z<EOYxY(m=m>*sfn&9D)1d~p5=)vEhrVEoeH<za6MwI^)g!~gq+fY$2&`!z!r(Y=NR
zi!Rf8(f=fgk+2-Z*8da6?sYUM&YrlC5mCtU4xFc1vb;5nT#H+jZXH8+ZDau(-u2cJ
z2<FrGIE?&tYwjw5(1?PoP_iO@L_N}kVyn>q#1ymNv>r{j)ReEX0^0}szeNfSPF}qO
zg1^D)0G1htz-|4F^1mlfA;2jg**`inKvLvFEqkF~%YT5U%M3bvOEXEMi+ck!p@Z)y
zh_#G6{qsNvB6wOxU`_VFcaRUYe9!#&<ndH2qpyq%3XlZA&ssE6)6l3%Ng;s(Tzot}
zAlY2=-=lTNa>3=F9>_mHdctV}dqL49ykmI@s6hc>`w-wT7qD3x6{ar$IAk+h%MLE^
z!kzkS+8b5*i)T$1oUf4I1sk9<*T6B-2@9t#wD<v#*G@`G3ZDRQ!SxUKpzm3L3xKvp
zQ*rInUA{GZ_yNPAn>7G9C9xZP0X!ce35hI#Qh_1?c{8n^hBK~zff8p0Tu|)K)>;1y
zMzr|_VPT1C@w+su(HC-A`9J^(djbzP|1BRt-2gp@yzer5AybhhLOBkgo#l>jWap)y
zh=7h(nJP14)-1$F=!v7T20{&xP5_X`U!=D?vvb3@fMF`G5UwIXg#l`m+S{w}GMPgK
zD8Jw3K^_2mf&NP*aTuj820g&Hb7^xk`NAGp7YZ?7UIc()!jZy))Hn6*+(@1AWZ>QC
zgYIvekGm;jo(K^}cm4XxZ7%42MC-OWm}lJL3kqGB(219tn#8L;ag2a%oZbM8TA9lL
z4q6wW$$UN=a!Rt1VyTIp6N4Yk{9OPm;US!E3@B+hQD8R^B=>{&UZ7X=&x<|cTC+-5
zHSf0TP5Vzs3^`Uq9sf`G3&u*sv3-b6Yxv2VV*o{P!t&3|cEcY+^53VGv;u2d&9>b)
zt8o%Y!&R0_fV*wcOKOj|JJx+e0TidaOj72<?@x^IQ+=kI-rF96-lCV@9?$C1<kpCW
z7UFeOjL-m1S+Cif`>9-v>1eLvc)3XykfyI~_ptu7uE*F7n1H|lPbvNt1u${INZT(o
zr@#p&a4#Yvq7FE14$J~L{bQ?RH0iQ`lHCPGS_8<;I-soJm^m*X$Op`u0WH74Hfh?c
zRc{E_WP#&i1Q+3qv;EoRC=ymAF7s~e$9%Rjz+SfKm9)o0|H*fk9g+n=E^qH|4(aLX
zoo5~D64KNEfcrM=*UmO;<$`zlCj{{8x}rz`h487`dZ-G(TqWA9YU0=QfZ4pzP5=w*
zgv(nOD-s-rAIuPOn=<lBNKBM^^$H&p%}q>9s$CrGm$|H(!<wUXP<jD8AMx?yGY*cA
zfbBv8QVlF5eE1>FvGF%0d|L?Ndal(Bk=z+CLY6c$gMieN9*DyeA=eK}OQwBa*mq+g
zIAMm75oMA<xz}XDrJ}aQAaP9ub{BB^FF<poemg(yD?r*qvB)muD&dO+=XSzkd@dv5
zd&U%sNn!>#<>u>+G{AO-c7)^kRV#$h>CnNk_~vLGR0Tlud!J9}2nF5>;)xz1fI`pT
z{f2vT&yeNf<=1agoDag9BXs0XK@zAAC=j?>+}~br|E+uqV9vHZe>l}1L-G9R{5;QT
zu{Gra4it6);1ywOy1Iayh<{DkkOSW>JBbc&Wx{7<d#qr((i|NuqX1yW%4z(uTU%TG
zeNVZ$6R5>};gr9>zdt}h5CF^ww?1P{UQU1>Rsb03)>r`^C=(jLjcj*bk3fB|O7%Ws
zOvs1?taD|8q!+9~5Ku^mtv8M{H2`2W)~04u%LG1TxIm4@%-q~&ypRB-sKl(=F@VJf
z39HItYXIWg;cP_fq0Br0#_F9ABs`3hhAh9tN30{kJkZ5VQ~G7J@7nkh82Sz<QfE(3
zIG}A^`q}HiQQ{}`FCYUv55mh!44sGqEi1q-3R_REcs2o-uXrN?z-uqG^3qsJ0Un!C
zdf@FS1svD9$V{4jW1o|AAQCt;bW98HXTKBD9Eh(2Dg=HDM7iyM(gg5=f`R}w32bUE
zpwpAn<$-S%1V`!O;sORA5SMm$0Xp9eR&#XZ3@2$LA|u<UrUdq<f#e?ziX4Jb7z%NJ
z@6;XObiUN5$E*LKUmMy^g~wdwnDKx|KI(lM2cMJ~+wKHr5(F70+SGu%T?WAAcZ~v7
zFhl|BWSnpyzZDd70Qf%uC~dXP!3@BOi=Om8P4QR0y}f06{S5^H#71(lmh~ICdT&z7
zGr<{aA%e1%_iC(wg0iv&;6asBctXjHz25=U*~pa|1Sc^x0Oi=7THW1M`t(c%j_ZTH
z2lg1uY_tQQu~L_f*LECZ7j=&TZrh0AUS0<%c?ypuCWwfxuDk(P`?tx96DV{O8zNGp
zZ~bmr)93;jt2P^Z92jrWueJBl+I8SEWRIbVpyOPfDE9!4h25YQ&Nl0^k%C}^vt9~7
zkSq{*%$Vlwf$DlW@AcgNFBd2P^#B78Sg5?BS2^zmqIt<(NuDJ|g1cxTj%L3=7Qb3T
z#-$dG=rRNNT_YG0@P+Hr)El@eMd`Fnns>*v?|Yttp@(CD{ht8hy4tdz)QQxFYfTuA
z#_Jr<U|Im46U1_9fNcMq$e;wG(!R-31D}l)>wlJLmunN4X&z%DTHsw)J0pqaT>IHI
zOLPf>e}!Td+&OX0G1VKwV}dkqm0)<l3E<oc({?04wqh2VC;*w}oQ;_>tv4nZNhY9$
ztFFKZqw?3E$tHon9qQ)4koNZpo>4gR{-KVbD+i}VNI{`^xX|LWQ&iBb7XvINxAwo6
zK~->e<^n{wH5h#YJSvC`$$?Di`?G}5m79x>;P_CKKLSC63Yb;#0V5A%%|l|#e{sSn
zA6289^+Lhg&UUBbfQ9%Z5p@3}01t#0z=Ix^!mU|2_bT6-W%Dyh_@LQLol_RW#plYO
zJaccqzIq1saSBD@GmBOs06gld1jx%+V>Tw^$+%PXLfWIfZzca=0{;q}EQpN$g%R8)
zcK-sve_Qfj#P`qF{ELMmtnoVGu8yGG_nQejp!(%rzQp9S9sjwwD6!wzzitLVUEmRx
zJe!zJT191}Ne9|fA7ktNFCxH-SN!yh+igP`lbA^oSjn&A0lqUWz%z^jPnhYmK>;6Y
z$jVwoMUCjXeUBp)+><a2e_DcJ>945hX!C=)2DpLqIo+sqS`-IQ|H5Dd>{y{u6F(rL
zf4k3byAx7UD*5}10<$I;LGFre4$d`tEs6vTORRvF2`%7{$2@>r0lasiehmv493f^_
z2Uua920S80LPFY_ZxRR$41`<vClZ0_Kq&LX+I&u}fS-;4oHK|Rn$Jd+rhXWqA(KBh
zmR?}c!GK44K;S?GB{Rd)ZdUoK+*l0U2>|ZFn5iJy_^}D{ryej(hES*lB?a+G0U(!c
z5Gi-T2oE6a!OUIrJ#05OH`j3W3k9|n(R{quZ<2q;5ll{5HE=+H1&ad_)9VITOE6ye
z0x0>_da?-^0suwVNQsBrPgR!vJPtFwVAv;}d8Qo9`%F!dAvB5U@J=`*gD{(}JP|6d
z1!AV7<qr4&kf8q+7l<opK|qx*>O<HxuL{mW7X%ypX|eEIc^@rdZCI*G@vfn4C>Tf^
zKhwd&4+g;i570(sfN|}8y?6k=zTD$8c3A(fe-7Ng6bFqHB&u}fX04O(NO}+G+`kOf
zxEpjB{}&~7!vD#$VFzpp^8Y7xaH|0V@){73|5GA(X5fqi<~9G5%X&0;<t6%`C=$3q
za_Ha>f?xZr@&6vTWcccB2%Q>yl5@!t<p}T3zl50PUs_;J&@REp0f!(BJ^qX5yVkRR
zzNdJ|95$^VginPYK~xzdx<2lIoOSz`gY>`?^k{m<kXf^?0@;rAvZ!|FiGLab`Tg6r
zn{w;Z7$3;O#s5WqolhlWo`N;~OJ`(7!R>&+`62=uFKYzEez42Kto6(YF0TVakh}Jn
z$BA{f2Hd!2hoN<ZDypK@QL=qWF9ZJf97MRez!|~=y;6fZs|GRx0{8%m&v6%7kxn`F
z|03d9e|x!b(_Tc5BM)Bk6O@bevS9RvpTcb*1Wp(8`(o7OY1vR`Gxn@lr+l#GazP20
zycF>OVc_V9Su`<%=bOB$foTIl80dd|2eGrU10cl3nVDfz|LGZ>Bya}g0Ko?nUtO*T
z$<H9oS1Zv!-j2X$x%S<_eNa$Pa`U{J=D|G3kDHvFoN=fQ9>}8M4F3Fc@-oz-qQ`wG
zaJ36r!$btbCH+9~6;xFR=_NtFg9wzu<`+nr6XWB9!9W2}uNZP}_$V4YtpFk>XKLy@
zoC93jNWKasf_9l97!7H>h<!dcOkW@=E)>1^ZE<NL-1T2>4p%)e4DyU^&>F-~@Yz@}
z@Bkm?S@7AU`od{42%H~<fa4PoFl_v0%z_VV3M~46%FfQVKjr?_5l@sWNGrKg;k1At
znlv^64wR)qD%davOx6OIO$Fi$P&NRW9sJnly%uA;%--z%tptH23YZB5L0iVy1Rpui
zvT`VsfsHy0=l6CohzBx2o)JaNECuHJc#KX@Pn8U8{_cB%>5O<Ht>@(TB=Rf~6KL1U
zqF&MqPp8t3A7f8FXJ$67`AU;Y2dXhsXdz^Z$|z0qPi+2WA3!5y35nW!<U;|4KlPue
zDk?5*S_4IM`cL50)qgIU=+L1_8-vUZNNsMulqvq-SP<I2_|IUEJ-RMYywc0~FRuHi
zIkIfpIa_6UDCy$yV_M+7h5rdMJ;#Vt>tn4-V&<g(@6%t)?=^bp)-G)E^#u!{=Ktx?
zTA*si`_0S{%l@)}>4XG)5)aw9XPGgpd%rDiV;+^$#hIb>26a90-WR)vVRgrb1l%m8
zIhoGZ+8MNB%=s{i-X4*NIr`LazC+i3-RHZrGudz2%kZ^fB#4dy^`H@}SUc2a%(an!
z>f=Bf9S3eI|M|gdzr`TD!&WSV+MoA#@e*y9eSNsmsMNj~C+kh$ddzog*8beOqO1w<
zgG3>cfYy3Y(qA-*Gw3=bX8<iH2mgt`&9>k9`=65JVz86lZIzYP<tvwcWD}E?4d<Wj
zA+JiviJ9Vs?vyy&2Q!>cavSyhqK#X!9SjP!*;|aKqK=#+BHz_5wmPS-SqS=*_a(iH
z*&Ocd{FySA-m*#Y5$C<xM2oRO2%S6^3&?e|Jss{wOmK^eV6c0?tD}y+G5TluG*RqG
zV3gB^57gF%Zgtc(=;)S5$A+@-`0RcaYi&<m987$kkf*U!c^DMoa?8I&KVRv}dDF4i
zuh&3`hC42X`O0G|7}0racw)N)5jk59C&Sb*;xnsOJ-dF=HSC9tvyv9!q+>fZ0-xRO
z<qm+`37$%3`eLHtg}GTnO?bq7B{PJJ`+kF&>{Nkp4x_V{u5W2SvB<1cnt~+!uNg#P
zOuTQMeL{jf&koB&vaFr&1RR@GLilhfzXX=*a(nOdfr^zKY-1qDNaV1%{66+G>v9O*
zs6hS0Ezv>{%|Qb?;6W$agO*3+wIU4dJ$(Avhs$Zki$7n(sJuX_!G6x3q4P_hisgWK
z3Z0Xy`6GO&7W!_f!C3ixV3T7a?0Va3KhJSoy9nugCr|$O&5`uH^EviRRsb59JlMg(
zLqrr_;&Z^Pw#qXxsmBLH2|A#uc<;B?LS`IXkkxvG7T6W_s_i}x-LzPb$T(0BH8T8H
z=$kbK2MtF$9>U3T^kk*b`#&i&PC<95L*iIj{@+*&A~3YdjhI{fI=mL!kCuyF&+w^A
z*X89q@>O6$Ef3<F5^C}j_1rP!U1jsm(dHtElMhUPu*2q}A`E};HkyN%sybbIksxwN
z%xr8(|4eReoH+rV8vpo|NKu*C25`B$+zI2F0dIFS6O3DA5)<!Rf^(#0Z6}EzVU1lr
zw~81CUAtTF4R=6{YnF4U*Ov6I{r25Ivq_){#0Mk2YF@A(3Y&uvkeSw$FlG^hIn}$n
zl;^1z{hT#Mo2#C7ErV@jRP2P*_lFKmPtsKrJ~7HZ`Pd&cxj$Lk*<&5_uo@>TnQJbe
zpkqSfvqlim=A5&jrc9i|uTp-#?`N}~A<j-nnRX3a4ou9sfyX3E%%Ibe?D|aOZm{`C
zYU9RwXveP0)kR`a)|O0ySxltMVxY&gUao%LaeJl)3SzulgHhH*RDnr=rG01(cr(uQ
zRRE7gOPvqic)?uzth3Z|>F)N#^xRfubGoOV955fOX}>}}@E{zjmv}EfkKSZXNNtZ+
zyb0MkZ@X0=(0mG6YP}itxP$mQZ7Bb(W^@yR98Ks5D`j%gwUjitd1#Hc_)Ru;_3VnP
zT^=lX7ML8)=~?$bXw9#-?@z+COEBU@kyy1YRNT0$Hw&4x&}*E^?_8IHVZi`AaMZ4|
zfAopbE-2t4<>G1K&cOC~Mct4Xn126d9%ngt)A`7VeQ!27kX_X9k_&d;pI)oUY$T-5
zmU06%eZi!O(f4_5h@V0BGEQ{gcjb}Mz`<>}(U^|QnLA7Af%|4j@sR1!GaV+MG71sT
zz4-E0*vmjL_{Me#{_Mee4^2=KXX}*|C>cBjf8?RnR2&%%J3d3iE8pbm#wh_bXGmUv
zR=>>7IKlRmn)ROb;FhwMjK!s6LROHfNlyCE-%3c0Z6r2Dq7Uiqq=E0<&7tf)OsPCH
zJetj<Y+Ek&<xs~qvCW87xlSodm33TioWxFvD6`_)#cYk^kOZe$%?|d=`lx5~ZPmv4
zYFuOENqjonNgr$DOyjwB0xH%IYHjG?kLP9n9Nh^|w>^ZihQ!DC?=R96k~tux(Y@wz
z+byd-vR~MVwufJU32KgJVMP@ZpF58P>&%ghAXriFS8f;xBpZ?bR!Xm3F3N(r24=07
zxqe=7ir%DHbL777W1bRUR(WgR94BWR8_3~O#^mIqWn?12j;MbR`@;NfebycV)!Dtl
zBypdB9rr*yc6T-{Yoh$clwhJ{&$O-#R*EMHiURB=4^u#3cyxgY>Z|df2Ko|AS>{>x
zf6+UTm6LmUywYU}P^S|R8yjl|gFn5%WfZKORTg3(H!+?g4PjI*6#lM4nSdwWoBG>r
z$R?RetQh(4^Pz~n8HTEWCd}MyS}I9N^lKu<vxdt>GMh<ddO_V>&;36>j(_9JE`&W^
zT5PH&)H=xep5ae7=~#@?4;&6jXw}boW%Xvi5T<pQ`^qsVYCl)F9gh85|Dij!=3{?y
zwEaTKAsIU%7za6>uibxt#|VLRgxf8o@msc1ljPZEL1blcX(sK`1a`CUw!TBW=5mJK
z_1;~Y2tKHZkBE!8$yv+`@3)QS)eQ34ZY_Z^iJ3SO*5baSJ-z*qV1$8(F0vYNzY7a3
zD$py>3XwNePR-rnibKedFj;Fyukk0)k|t%Mt@41js;QFdwHZt7ekH#vQOy{2&%Ah7
zQZ%V`8=!7s8yhFPKmi%ejVwOL4zr7?LscldMBbh(r38Cx3965J2YPIzpo%$N=R^a_
z-Qm=}Ok;PTZ~(HAcVMU!0zraC6#HEqhI{O4l7Qib;&L!7q(#)949)7EGU=!^PZ4N0
z@xwW2(a~Z=MlUX2-OS?4iXwTlqp2mGmn#X?e)a8x_*8jTYaom{AjH21SF5A>BDGi+
zq0w`~H$yPtz=YfWYq2bgj`qY1o<#0cfxAu3U;PTnJ3-i`&S&LM&l-zp$k5B%%1E`c
zznFiQhaLjSsPHT`&Js`)_(nuj;{Y57C7J(iW$LN;8U9>Q+he@(k`&``;LiQDcSouj
z=iEOTmm3+(@&vUyZnVLQCtLLS9LB)pS*V78bL~Wr{GIA#nU;BoTr6+a@v0X4-`vPn
zPDAp1<q>{7>XI-5&X(LAsQ<Nlh~J*>`Qp_&*_|j6A+OQf!V3r8uNyT%ZC~mvqXQTE
zzigi#AM1zrD%9k=32O2xf6caPS?w-jDRnR)e~y;9kKiT|N&?kA{q1;Pw@aeG===U5
z)(J&rw__<fs0Sx(_X}&1sLto{am^GlzuFi|0gf>{(1C+Ms=!}50nG%5FPmT}-g2SY
zr^<O*%4V^(1r!a`3@NNKK&L4Y)C2!tTW0}O)fe__1f&}g1*8N4DT7WaX;8XL1p(=f
zL$?BgDAI^Xr!>-_AfiZzGy>AyaqheS-^`smcRpvFaU{+@d$0BGeb)Q@o~2M~(wOZx
zkn`Dp=jmjFNxha8d?lY?DOyk##1_+o2R-mfK#}*wPntOW3fU=?uAqjDw5z3vUqit?
z`$lbTx@SLDdiJJ|Ryeso`W)`*pX!=E)3GYn`(W+8-z^c#p((5MPD@)YU!y+jWPw_H
zdBQ8VAnxLrP5gXsIe9t+Uw>CgZMga4L+j)jGbBxgrsdbD()yWP5Op&5a&Ks8(qlF1
z=j`w6=q$N$Ql3PG)#2pc_jj46QMu<+`EM4z7GIS#D7~fd+Wooby*BpoJR@y8Ai_Q&
zmNs{#%+#-M&krEYhL43o30LB(Z1>N*-;U#^4@nK=6x65iE3@#Zt^RYh5&7LD=A-lU
zk4{`xs2o?sV9{-70hNv<E{*Cug$f*IJHwYm%WR*|aLF0|{*BPzk$HKTEz{&>aZ{1L
z#-Ae&HGNX!5C9Ej`v@vnwqg<zdJla;t|b9FIqYVa3P<Rh6b%=hp2H%7n7e&NB?x6)
zR|X^h{(Xwsn`AN!>r3ENz`V1yZeFX-5dKkqHk3!ihZsMwzNSsrW$%QGdaw|f{FX`X
z%!!`{kEDrQHwpfDv>S8JT=--@#lN-{brM&EHnz$a^>{F8@F)+%m*3E;+ti<!^<I(1
z6kT@8`m`UR)O1_$dTUZqVXSD%zi-v5uHPg!mGO3hCB*wPVq<kE`<dltax@+_$5ekZ
z5>5*}^w-yYfPN9^u-JZI{lS9L9XA@4jI3VQ3sY~u+}PD3-|nYndTuVB{X#;{6uw-)
z4@``O(}XXD$4KQ`&A<b(C^fww-R*=>j)B=X-&aJp7gx)C1YQ4OM6a~kRb{%l>_<PJ
zR3fIvxX>f^;0qI7k@?;>{;f-a-2hu68IP*F#VRAXlytB(_Zw!cI7uY_)+)`>BH^Ug
zblvr))XSt*ShkEa0lpHB>V)jC8DiEnDon|Zm!oNM9b!Yi(8$DR(6IC*VM+RZv>byc
zeOlFi?tMifWybCNrE>o*{(QqjN1G#u?7y6{{d>GZJHG_{jz5x%Vv#tloTn%#UbPu^
zyjO_278^?&kTFe(UYCbu0$ljyYEkpY8d_Y{hsff4|0m@!SRkE79o~S2O$OWHB6C<4
zL<B!7X(EWf1Xf0fK(2wvj;fDqHP3}CIpzG&pB?$Gclwyl`Rw5FHDa|D)oK!&k2zu-
zZiYL(dx71mJzE(gTFqKm?hxBC<VD8UO!>!j)oEgc<naED4;I)H#&ldQ+|SAywW<H4
zP&%gL$y`K!Z4xA}0bRnt&>zY&p7EgdxJ1XAdRmWx+%nW>?4&x(kx_iT;f!zfFDObx
zMJ$MmqpS9$CSo+Y?h4u$={22G8BQ<7MOD4lE;KvABD)^DUtF$Gu~>_v9<GI(deFI|
ziSK@^?Z8c8S-2~JW5(4&oc2|%6vpar_1C>tH|3%%qKV|k8RVzXI>i|T)Zae)Uaxg;
zxl4PbBO9iUnMkWN9HiTcNyV6btAF0kX!X||-4XuIPYSMBk~Zy1>=@C_w%m&W1tkuO
zmBx_5r}~&Lnp@i)$OJDqHB8VX84M#7N84A7M#*BxjtA*5(RzUnZ*(31?2vEI(rN5c
zGd=afP!t@w+0;%(=VQ<6CUWIu#&FF_opKk2ucm8H(C2i8L6DfvsYA>5dz}0iCK5-{
zmIaK?U-m)-(~3&X1lV@d0ln^~6#rEBe2N_th~((VGJNls=SxyJ1cs=$qJJx<#;~aI
zmSPCtu@8o4#=rJAyrz0q?PPVdI>A?V)8kbwsbP>L7dt`Vh>(3E5DR*LEiB(sFDBOw
z^O!cJRxP>i!<0vSHlPP_1{2tLrFA<v9l(<Tef{@5#`R>ci{<OK`jyRJF_=bJ$Xe`I
zk;~&9YxbHkk#8}DK6t@0-;$v>J*U?jeaJksq{PaykNy3UTsh0v`F8!RV!`>cBlB{@
zGJ_UwMteNx5XuMGP6=OU8DuXK95vRZSPZbr>nCeFqM9eA9ynhk!Bi~ArTi-vN^3gD
zeYt#`>qwYVp)7P}Q>{Z@!x7VBpKXkd%(ei_UlAiUf*Y^q2eDAun^!3q@w*H1FU%r6
z=I51U9nHT+5sJqA#wfDiQdRiIDqv*M+Ia)(Xm$_3Z6q#$lC~rhqs-c8ZF^g<3?qnE
zwB&(*SupG6B986a^5CC>lN0<IH|QQXi(O5{YtkzVDrKN}dWlev;u2vk_k*Z_ACX@z
zhp5PA4yw%Dqyp~K=Z-2?9R+?3`ii3`_3Ld0FFz(H59V+8bm9U9M`xBmirAs)MBhlZ
zax(cMQ`Wht#I~4pRr?wlM-^<rG=u0H3I#e0-HD&NVok|da=YaDn%2|XbSgw7T$W~B
zR@hrnqMDUDPEm&K`DMqPQSxi8JL|qhp@c0Zjla>X*Ti|wm7l115Z7Ul&q8m-4Ayz9
zlamM?<xEG7$}#J%c}%)d!(ZJTTWAU9z@ilf5xp;mXu{PZ3CZp8t?C2<4s1!@+^%jf
zmPvQo?MZKQr`1ua&nT>eY$1yks@#?@SY_X2&D~hu=oMZ%D4^mvT6kHzBFKEQ!KPU7
zFZL_7@5PkLKY0i8$tBg)=#@Bh>^h##9F11{;h*CxCr|DwURGv$)~#Xo)3@!kN!><;
zOCmg$Y-eDkqxoKH%U^|{rli1+p2BmSgSVc~Qg`?r;csZLwz5UcNb1a?zq6$J1$IQI
zgkoQ5@o)E*p7O)@h$P5%^}b}Kf_Z$aIabJ5v0;;gfGe5!t<syL7Y;?D)#O4}Vtu5|
zF})jh*yrVBoHIP`_kUHBJ~{Qh8WZ$&I~u<|-Sw(&5NS|a_Uz`o{UlLFG@5MU6rbX>
zN!2F2vus^bvBgDwZf%Up<1l74zBP=hkm`j_*-^kxUWTT1`Zo7PmYwA#J!Pt|2b~P{
z-gU)1srZ^zvtKs<-8#b}ZApkVzp(H`G5VgfB0<8Yipv`L1n-tJ7*lBz+uJ_4+4^e4
zN`KJMd-BU-SrS7&cd5L_pKi4;SZ||=_B5!pe9DLPSFXrh*+z>2qvSh>Me}oe33nrG
zX97a|3D)rz8FdTvvTz!WHaGEnM&P{`_05(haWela5|S8JAI;kzvK!Ft;I_{Qe$Zqq
zdv@eRGizQe1@O#Yo4&zg>f#Z9wF_O-&=L9o4c6K31i!hT6yPkQOC(ElWXsFTo{{*T
z2=4jG6nohuVEdbG3vT@&%X<>8rpE4zF+N2gb-DE|Ua*f;09D%@V;g~SdI<Hd)TeqH
z^U`PRe4+#|ugcicHaL=|N)Uf1`A36ssU?bGW;E9^k#NzEWa2WZ82%^jvYyN8(>T17
z_`#>aMZ;t0VXUoFY8yMg-5YKiL?yVI=>a-FGwnG34d4<`h51T3KEHZJB@{JFQ{TRh
z<J4yS;AW=Ov*&kYWZXL#g1h`Pd+sXeU)to-dRZF3(0|Hv_hD#zc4DU9<2((jCQ}S?
zhN06<;_yxCd>6C0ATmF^HgrhH<Q;#OBl_@yrboj#ZiLdIWH)*)O>j7R;%b$(VKvTd
zcMf$INM9a3VOu+*!aO%?<$EtlJvTQS99ZUtdvyAITA)@{+x1fDOjV#>XLM*uueE7U
zTCP(^cf!z)i6>RPTX4Ci+jPE%1G}cw4M97BswTr4HSRg0FxqI&2~_jOQKK$zB*&u%
z=ad(Rl5w33x-ZiS%e^WL7LSgeE4&H8Mp1F)Ns!*RD)5(&q_A;&n~;4~9)c&mUyN3S
zMw=Q%S_2Ji(j<y6aF)1wvJGooIX{e7$%PSX<~BE>hNho>BZ|wC<5y9Hn8k-mm)sL^
zm82}Mj&C-o<_m-3OurMwQpjE8ROrdpyK8sWzETUoCHdDl+rE!l`nB?doII|MSL~|6
z>Tv$hm59Mo-g_1y7yg@#2Dy-($05C1w?yA~(Tx7I<g}A*AgP*Ba={Is5zkHvn|QUA
zP;$P$gRwcL%|#iVb6;tAEN7*Eg8H$@x~*+c`o(g;Yq(Ubro}?{3KnPw3@*59A|~8Z
za`dZJB<H`rtXT9qC^Cqn;weH&`cxaltELrPuq09}elzQ0vd7~rvTdCUz#!l;Ra00W
zU!lHh9u(%-TWdu@of}B}<_&+(SC`)WX_*?A9|_qk#3Dl0@dnB$v^acvCb!M-Rzk6g
zHL>e(iXAbkq~<9dVqV@Oiso(leZ7PYWBUBCuo)uu?~XUV*f?RYxa_P|JgUqqPz0Sx
zaR>zkUo!>kAakLyC^5@Xhu1qvkBLhj)5ZI~JBn2X<CXXV_JeP~rFj%czU=JG(!Wof
zanJHqLBg-pz5}s?_a#cn`~yio3V4;)AJ_ks%Wx+Z=nOpwUL9^lU*PgK<u%=*S4#LT
z;JKyugo-m~_E~&<Whwela$icnM(u~qw8;Rse%1vC0Jlx|ucID|UE#=@HM&PZSG0eA
zY*nR&Wh}lnkss$Hg$fX(gLKl(!>Ph^dYS^SrgH(J8wDuSELrb6Jyo`DpGHd3{1$QA
zqdTaS(pO_HuyDH6VspJ^Lw-qvC33A|`*1o*ENWrckpIQkm>VKr4z`vum`Npz?jI<<
zl`YU7*kkZ7It(Ws(D#%MI#H$*%j?}7XYGe9ftlHX6scUL2?Usu(#O_gZmbBKmZU0x
zoWW&j<wc`EdT%DM!qR$N+-K0?Nh>A_z44{~WDA-?-lvwodgydmBusQID=hQ<<v&QT
zl=fvuo)mU;Jg=oF)Ru{_w7yAkJ>PD1gjd{D-LZXlc|bn+f&BzKxFi$`b&?tf3w4Hu
zk|J`j_AAKyK8rW8CCX?eNF>H*nf!&7za@?0WIuPF#3`71Ki-QQ{xJT`A|5;WMb7(R
za0uvvmCKvkf;M9sl5bvdiq;sOmdnTfC@pPuq`J%bx-ewGqIDfVUN7%;6TExk-Zasn
zl!^7>B)f1DkyAQhjmEwVKLhpE({({qlN8qe{QG-yR+EI(HrI~sJ>$bZ>WEwsCIK_y
zViZKKPH!_Y)nht~42btJp)AwMO-)g0!XLd4gK_ys=P1?lmOSd5SH9o4np0X~<@S*D
z&hyvRwqy7973<J`Le8>{#iAa=RHJXyZN@Vh)6%deybDjNxeRgq&pw!JT)I@STB<4k
zr^>T@V=RHYurT75YNcN^tyKwnd0>T=o}u)VUNvRq_K)Sk`}|F(YO80hxF^(u!QkK6
zt9bm5XK2iCb839*71JgxUt*cY(5D@b{sBLN--M8{KFA3US}E24Dc!mISeN+xw6ODh
zZLEIhXcpJ_ve&->d0o5N+4>-5MMYD)SJyu-JT>|r_1vsWnK;+sj!~)6hre|tjxW2~
znotXWC+d<Me78eax-~V2QqBT#T^~x=C6|a9@eHA%-7D<t{ZQ<F-z6+p|7=gEw6`W)
zA&2j{S5%E_O1wSLhP9hRh4)Kefpw)6;(;Zyu#VaIzAaQP-IG~dVi=By4Fbg{sYA&d
z#{PSGpvj<N+?GDuPwZ0WU4B8sr=$IC)Q}{+gpo#|=LD=U^&YTX>%HE*6J?^VHhdmT
z!!PTL;>XBhyE=4y{(AfT2e0i7OiWkSI9Ty^%~(G3)Py<38TR{8w3FL3iUvpG$sLs%
zL&<O`xFBF{Vz|mXEMlq_akBd);X09U3o(Prw#^Jh+@MLLmfIk#_F}8$76gBb9w4^<
zVjPU&9TC}wS4=(slGjz{Y|C6*O1rcqWo-=7Z|<mEHJbcG>0nix0(*hY(GR!FGZ~}X
zRwLKyEu#x^aY(fGA3<~>=IiY5=-HN*z3BN8W9?A)3r5eaOnVU@f$sbL6}b;HjKAo}
zBzZD3GYDm-{9fp`u7$=r{}q*oRjF)rJvGw>w>v*->_U@3nv09e_H?9JnVMpD)?250
z@uy8TB>r%kdK8ROY1mRT)Em8TKTu136dcKxp(UkRV{f^yA=}aH--Ofd7D3La8yS1L
z7dQXf-phpvvI2cRIQe<(L))gmK0HWA1xHd=G&5YyIc2}DsMLQ+;v>&_&vnHLOA%io
z7o)<LPG_|eBL#0a@{L}ZH1gSf6Q?K5Ra+)#Tki2a-!eD$8q8zb>61UPnH1S=Rf&tc
zjVJcbo=wf@g#KYDLA^Xv*1Ko)QkBnsEQHEUSFlZvtIDowRu`2-;E*)z`4WY#Ub*?8
zgrX6b==BW-RD#6ICao!N<u4rb4_rS%-AehHzRP-VXSX;0yV%gWn&cac_OKtEY{L55
zE{4@-KI33>8q)m6J37^9(Cberk*K5;mAq2@+{t>`|3vXrMmF?UZic1A^j{@mKO<e0
z>sUILo!{ToGaJ`zG$#Vk!)Qr)e!H)0mNDDgZL+2D3QV!+e$h>>3KMmOJ#<?jR{dk6
ziX3}-t85E7;$y$n;uF7B9sbty87%SXGv}>c<>_l^L5QB{K6Kw4cBbX)^3y~+m;d4a
z>mA3OREj>%rQs0Ud$g$P6zj$P&+@#Y_u^2*b7#DsUtH@VRLIXrotMi*OuVQ8bZl+J
zOb;enD4m@2nva+(V3qaXq+#)M_YEy3XIAL@l^Cz=lG7FGC_%ej;z@@LMAn{r;gRUH
zlGAuUdxoYqs2TQt$L+J+TWhpJWl~>hApWewCiD_k|8$0UVVi3gS=9?s)X8||fW>3m
zvNa(m>Ea3zcP(@V7<+qNKuSI4EaNGmAE?j7M7REXwx1zcTy#=@P3d@Bo*&n^N@@D^
zw6NXy(eGwS!=?t2Uh%CK|HAgSWMrB94W3(7J)SDMPoAK~*GEiOR~Bc(hg5`E{&uf=
zS2@;cm9gF``0o1lcHKu492uU)Fug#GwY}{R+Y3E;rC}>sP>of$@;>q4)|{T~yr}*&
z6nv_Ii4SRz^PRtM9+hPtuDWw1a1;KiF*N~=ZXLmxJj1?8BT<-9j~k!#xuCCXS*_7X
z^=|^ILB(}vZ0djApOoJ2-LxvD=HVx>tFjsAt&{WgtfiZsbuT2aA7tMg>NM+Gn7G6F
zdX+#@@`e!#<x+nujL^KQAX9K^F^u-w%?Hjmiw*Ka<C#1(KR#3&X))`1Y=4dF-G91n
z9;9pi|BAh3L3zk54a_G<DydZvb@Zx%q26_H3lgi9TxA3iBl78-E!{H+%)r34zEU|f
z=Am|I*v3I9&0>Qp3xFbowKNf{<9653e*_M26?b862PlqSc?J|HB-Oq&gMtwv^=#lW
z?nWHQ;133>VQlePofgAo_}M!~6m@N{bY(%L+mjVW0BAofAz_4shigJaQYFZ2s6ZRY
z+xGxF?6hE!-tpRbIyXPh@hB4mBSp}`@?>ur(7lVZUG;jeUjl+)52VF#P)~IU#ZXjL
zT?i(Xm;s2#n)oVty~m~+&`1zG&PW1HBOnwFMI`xJ`4qg3dlbO+fw`89l2S%VNhwFW
zr>f1qX5RgaOZHkSA_A%T<0M2UZ2Xq4y|Z&E%&vKT;&H#=io_?7f!kD>JQAH#ov=TI
zZWo#phzMZSwt<0sdK`3oast9&iZG(<ZQ!BKH)#~X0EIaSUHbuakvQMeL^Q{+R+bN#
z)A2o7!=H(~4B7=+momXY>$}${59r80DfSUEz(oL4MkK<=yGzZB3rj3lUxvaWDk55j
z5o4cM?E`0&PQ*0=PSTWPffoD#;L>0a2i9~gEaicIu@0mr71h*o0EQIq_bVJqzSU7G
z@Q(9L%Jj`+Mgf6$2rCUst~SF(iok{-E>>8T`36T?YAQM9IZq6{7DD9%p}javh|RM{
z7Z6Vg=iLOguMND1e1+vt`#grYuNJc{fmjV-l>s9)<xCg_bi_gtTn!jn(3XdmmTnRc
z!K-&4ZO`MAkmLY2A~@*5P<aj)W*(l?8V<&7;qYF5b>^T<<V+p|5Unc|%&(TfLqa1J
z^xMNOts8);B)(f*ubI9DE_GAW>6c1l%4@Qv=H+_*D-Mn6S!*VjUkDiHTr`tg&4RdC
zS#pBiQ%fiv?ZCI=eCkq#0f6UGDxuC&;_Q{WUCEGufB;*AQqEbh9nXQtw|m*<FCK6@
zV15_KEsT2t7hwzZpG$SE^BQ1}_RE>xjQ+-5Ga(%*<}IXOq636FOsZr@xgT@1E=sQ8
z^H*Sm3AK&_st!ozB-anX)xv0A;^0h!J_K9`d{WY0S8?Et%gV}B>{Qj%Zi$Ia6b>^B
zM=tID#OF-44gIrz3xWnPM1he_UH10$6ap?isb5}Jmh8q2RJ83f3h3OsckfzfAY>`>
zDhG{X&4CSDsIH;gMXPC`TK^3WQZQLqhmkV;0@lbAu&D1aynt)8K&Tv0#sd?3Ddp!w
zKzrZwS!>)<{=5oQ|5r$T!wm5UsWXChB0_O6r2xVP58sTJ39mi{P8<;6?FpCOI7l;r
zSQK&vIH5?S>Xs3IwZpVpEWP;F_Vx!DXt37HuU_Edhd%d!dY}&ctPlh>U^wLHm0LjL
zF*q2Plmc||fNCQ|qD&Z(Im~rX?A`+s7KANRsU;WMPvB^g0d=<XgBOMX><S<SM*`pX
z1Z3-UVxF%7agXOUl>k^ONx+VVX=J<ayXECMR%j((7jb3hw;fhViE9M;FCw`I5ON#(
z%LqI5EtUbEI`-c~%t$_l&b%*6PS|J{9rM%jBf!`o$4=zX%t5GD;I^-WX&w->MF?Xp
z!oWp@(LKrhFM)qYHWe7MQLPy4=0x1jFfi{!h#scpue0M_mwF|W51`dYQd_=o`VsgL
zmctOJA7r)Pbxl!UD|#h<!1)^mX)>p7$y11hxNc6R!PH%fOcDZ}rmcR3B{7_J77mU`
z_}|?@P4&C*0?3aeyCNWQ87xw<mWetSVYihlwxu<i^1bbNuh9V!j(@wz4>l%KmZ<=X
zgSV_wWi#XnC1s$<9`IoWDBkQ)PHLw8L`6L|SRfw&T*G64>j8=E0YcuTRyz^VrB~Sb
z1L}xJO#G}jUHl5KNh<iv-8ZLH0h7ZgCjJDx>e_hKOSq&Oz;GgzJbVETMN3U^xqyio
zA?!pq8{UAI_Azkv@WSs0hIR-p6I{szsRQt3pJ9$6Vs_{VJO_g_VqS(zg#1ci&;Tr#
z1~IeeRx55~Z0r&Ml)}d6=pHx^$1}mCi2fgR(JYYnfnl@*u(L+3qd7!4;LV=3!k|F7
zdU&OoKwSFTjmr^_&ChYce2&=cPhl`pA|?NpYVsZPHtclo6%NFitEYF(|7;t#>3U3_
zD*V~S-&zZ=H7Z&C)!_nH=EZm=hbDF)+?)EEP(JYeKcHYCOgK1slMYZ~>$v@vnO=RG
zV;1GvRqC=OUwRLnBch__lC07{0A`42_$4onZfgFq6QFhXIeGmiIXT&K%D3@8kdAP;
zh=q8x*<X_IDi?;rpH)ioHFuv|$_)t#2`W$8_TeEIed){OFItC&xUYA)goTr!O-9bZ
zpbp0j#U|mlb`-Qz%6*TWgMx$gYwT|T{+J~jNddOfAOz2T(n&(^{qIAnbq`fP<ndJ2
zsmXz9EYvN{fzb{Dp?I357(ctwGA78&aDvnsVXhHO9?a>0bt^%m6v-rdfhX9xfJ65N
z$eF*#v+7qqCx_dWIl$YMfEVW$E>OXK12Tv$3vPAd-g_<o<LORE9q2=4_yxlhiMt?I
z`o3k48Pt3(<N5@cMp0L}lLv;-y<$f*!3mtYJgV%VLVg274Q^M`K-rH~*;1D_>=4Ao
z#c>%_M%;VWy#>`D9@`lfT!+w<-(HRU@P$4TQVn2My@hDUZoe`wSlpiv7hMN}92kNi
zfJlM6mjPHD%EI&H%^&+wz*EAzN3u3B25&M$d?O4BH1eDPr5hM+Gnkh`X==#c7cl4$
zJ{u<8h1=|iOFpt6fUb#G=;)}P{g-tCD6;8n=Td-QDng$N37f%v4}{A9MUbF|Zo|Ky
zRE%Ad^b-R)`jhSij-CujXnZnEp$?5fW0Ep3)LbA2yC@LB6oFu4AKWjYfLZrtT`p}r
zpn(F9)CIUdBbX}eApx@T-sRivRLR>AGu*mOU!`qA$49Kc9YR!3F1}Iff{={=?bJet
zPmJu)vi`sB<x)Zp(K5tDjZWU^in|G(>u^Y&3A`9}B(|}<WAvYkc?2)z=Rv8O3v(OX
z7(j%?2FNp5kfLFG0HcpIG(?HvPAq)acmknjz~dSRvJD9A7~-|_oelB}n3*vjLE?>s
z=3uyPLj|vZfe3yV<d-1<PiASTE<!GgMB0Tq3$P&oGZ)t@NF?;bz~q}wgv10H>^A}B
zHWoDS5KMXsqtaUbJ}prlK9I^`%9(JJX*fUl!(~+aIwS-eVNBh7fhRAwkb@!B4bd&t
z=g*%TTuXtAk7P-Z90{Q1!eGy5Zc7z*c`xR55ALE#V#gl;*~8Tdo%$dbdP_ZB1;%u#
zR|;{Me|ugT@=6dD0&q7LvbA^M7No*7Ha|a)6lb_cBb+Q)|H-ag>3~af4FFnov2AP!
zY~c)k0QDGLY|Su`4Uv(5ze4(b+0}AKrF!gztel+jmoPYgfk<|l71=WZ9<pUYN3UP+
zYMtZbve;t|UV9=2iB!mH;lsW#{~^&3bcIm*D)h+U;R_yzsBUYS0VpN5+jGBRtBnv0
z{fykDGcz+P;k<Hka-Z-Sf|+U%$a{+yaQQ9R<-i4fepmr$BD}{Q$OH6mz?KK=9UUE8
zh$juIF;YJ2oLM0$^mMi@6gHK(2L%#H7JMS2rvMKjo%syElSn8wk82%gD;sD8?P0$R
zWSbQX#9c19=d}|y5sm-M;?5Z%kS_zd>YCXK<dCR>-3;1$dt>3gnEMI2S^ZDWlI+?w
zNE);)I3xF-`1p7zn2@MHv%Xyb*gpgk*&!<Zj*>l`ltB$n4Jc8Fk@*1Il044&4B2fn
z3nU*H2vrJ%HL%|TGsG3tLqrAtdjH=U06|pb`E2}u+q4J~nsWk=|KEoY^8f$iQ3v|c
Zeu1<DUMj{**p&%GQBF;^MA|Iq{{Z#``qKaa

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

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 6646c360f..ddc3450a2 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%|                                      | 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]
+
      0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
      0%|                                      | 42.0k/42.3M [00:00<01:56, 363kB/s]
      0%|                                       | 106k/42.3M [00:00<01:49, 385kB/s]
      1%|▏                                      | 270k/42.3M [00:00<01:05, 646kB/s]
      1%|▍                                      | 435k/42.3M [00:00<00:55, 750kB/s]
      1%|▌                                      | 632k/42.3M [00:00<00:48, 867kB/s]
      2%|▋                                      | 796k/42.3M [00:01<00:47, 872kB/s]
      2%|▉                                      | 991k/42.3M [00:01<00:44, 930kB/s]
      3%|█                                    | 1.22M/42.3M [00:01<00:39, 1.03MB/s]
      3%|█▎                                   | 1.45M/42.3M [00:01<00:37, 1.09MB/s]
      4%|█▍                                   | 1.66M/42.3M [00:01<00:36, 1.11MB/s]
      4%|█▋                                   | 1.89M/42.3M [00:01<00:35, 1.14MB/s]
      5%|█▊                                   | 2.05M/42.3M [00:02<00:37, 1.07MB/s]
      5%|█▉                                   | 2.23M/42.3M [00:02<00:38, 1.04MB/s]
      6%|██                                   | 2.41M/42.3M [00:02<00:39, 1.02MB/s]
      6%|██▎                                  | 2.64M/42.3M [00:02<00:36, 1.08MB/s]
      7%|██▍                                  | 2.82M/42.3M [00:02<00:37, 1.05MB/s]
      7%|██▋                                  | 3.07M/42.3M [00:03<00:34, 1.13MB/s]
      8%|██▊                                  | 3.28M/42.3M [00:03<00:34, 1.13MB/s]
      8%|███                                  | 3.48M/42.3M [00:03<00:34, 1.11MB/s]
      9%|███▏                                 | 3.71M/42.3M [00:03<00:33, 1.15MB/s]
      9%|███▍                                 | 3.87M/42.3M [00:03<00:35, 1.07MB/s]
     10%|███▌                                 | 4.11M/42.3M [00:03<00:33, 1.14MB/s]
     10%|███▋                                 | 4.28M/42.3M [00:04<00:35, 1.06MB/s]
     11%|███▉                                 | 4.49M/42.3M [00:04<00:34, 1.08MB/s]
     11%|████                                 | 4.70M/42.3M [00:04<00:34, 1.10MB/s]
     12%|████▎                                | 4.88M/42.3M [00:04<00:35, 1.06MB/s]
     12%|████▍                                | 5.08M/42.3M [00:04<00:35, 1.06MB/s]
     13%|████▋                                | 5.32M/42.3M [00:05<00:32, 1.14MB/s]
     13%|████▊                                | 5.49M/42.3M [00:05<00:34, 1.06MB/s]
     13%|████▉                                | 5.68M/42.3M [00:05<00:34, 1.06MB/s]
     14%|█████▏                               | 5.93M/42.3M [00:05<00:31, 1.14MB/s]
     15%|█████▍                               | 6.16M/42.3M [00:05<00:31, 1.16MB/s]
     15%|█████▌                               | 6.35M/42.3M [00:06<00:31, 1.13MB/s]
     15%|█████▋                               | 6.55M/42.3M [00:06<00:32, 1.11MB/s]
     16%|█████▉                               | 6.80M/42.3M [00:06<00:30, 1.17MB/s]
     17%|██████                               | 6.98M/42.3M [00:06<00:31, 1.11MB/s]
     17%|██████▎                              | 7.16M/42.3M [00:06<00:32, 1.07MB/s]
     17%|██████▍                              | 7.32M/42.3M [00:06<00:34, 1.01MB/s]
     18%|██████▋                               | 7.50M/42.3M [00:07<00:34, 998kB/s]
     18%|██████▋                              | 7.71M/42.3M [00:07<00:33, 1.04MB/s]
     19%|██████▉                              | 7.91M/42.3M [00:07<00:32, 1.05MB/s]
     19%|███████                              | 8.10M/42.3M [00:07<00:32, 1.05MB/s]
     20%|███████▎                             | 8.30M/42.3M [00:07<00:32, 1.05MB/s]
     20%|███████▍                             | 8.51M/42.3M [00:08<00:31, 1.08MB/s]
     21%|███████▌                             | 8.68M/42.3M [00:08<00:32, 1.02MB/s]
     21%|███████▊                             | 8.86M/42.3M [00:08<00:33, 1.00MB/s]
     21%|███████▉                             | 9.05M/42.3M [00:08<00:32, 1.02MB/s]
     22%|████████▏                            | 9.31M/42.3M [00:08<00:29, 1.14MB/s]
     22%|████████▎                            | 9.49M/42.3M [00:09<00:30, 1.09MB/s]
     23%|████████▍                            | 9.67M/42.3M [00:09<00:31, 1.05MB/s]
     23%|████████▊                             | 9.84M/42.3M [00:09<00:32, 997kB/s]
     24%|█████████                             | 10.0M/42.3M [00:09<00:32, 989kB/s]
     24%|█████████▏                            | 10.2M/42.3M [00:09<00:32, 983kB/s]
     25%|█████████                            | 10.4M/42.3M [00:09<00:30, 1.03MB/s]
     25%|█████████▎                           | 10.6M/42.3M [00:10<00:29, 1.06MB/s]
     26%|█████████▍                           | 10.8M/42.3M [00:10<00:28, 1.09MB/s]
     26%|█████████▋                           | 11.1M/42.3M [00:10<00:25, 1.24MB/s]
     27%|█████████▉                           | 11.4M/42.3M [00:10<00:25, 1.24MB/s]
     28%|██████████▏                          | 11.6M/42.3M [00:10<00:23, 1.31MB/s]
     28%|██████████▍                          | 11.9M/42.3M [00:11<00:23, 1.31MB/s]
     29%|██████████▌                          | 12.1M/42.3M [00:11<00:23, 1.26MB/s]
     29%|██████████▊                          | 12.3M/42.3M [00:11<00:24, 1.23MB/s]
     30%|██████████▉                          | 12.5M/42.3M [00:11<00:24, 1.23MB/s]
     30%|███████████▏                         | 12.7M/42.3M [00:11<00:25, 1.15MB/s]
     31%|███████████▎                         | 12.9M/42.3M [00:11<00:26, 1.12MB/s]
     31%|███████████▍                         | 13.1M/42.3M [00:12<00:25, 1.13MB/s]
     32%|███████████▋                         | 13.4M/42.3M [00:12<00:24, 1.19MB/s]
     32%|███████████▉                         | 13.6M/42.3M [00:12<00:23, 1.20MB/s]
     33%|████████████                         | 13.8M/42.3M [00:12<00:24, 1.18MB/s]
     33%|████████████▏                        | 14.0M/42.3M [00:12<00:25, 1.12MB/s]
     34%|████████████▍                        | 14.2M/42.3M [00:13<00:25, 1.10MB/s]
     34%|████████████▌                        | 14.4M/42.3M [00:13<00:24, 1.14MB/s]
     35%|████████████▊                        | 14.6M/42.3M [00:13<00:23, 1.16MB/s]
     35%|████████████▉                        | 14.8M/42.3M [00:13<00:24, 1.13MB/s]
     36%|█████████████▏                       | 15.1M/42.3M [00:13<00:21, 1.24MB/s]
     36%|█████████████▎                       | 15.3M/42.3M [00:14<00:23, 1.13MB/s]
     37%|█████████████▌                       | 15.5M/42.3M [00:14<00:24, 1.11MB/s]
     37%|█████████████▋                       | 15.7M/42.3M [00:14<00:23, 1.12MB/s]
     38%|█████████████▉                       | 15.9M/42.3M [00:14<00:23, 1.13MB/s]
     38%|██████████████▏                      | 16.1M/42.3M [00:14<00:22, 1.18MB/s]
     39%|██████████████▎                      | 16.4M/42.3M [00:14<00:22, 1.17MB/s]
     39%|██████████████▌                      | 16.6M/42.3M [00:15<00:21, 1.19MB/s]
     40%|██████████████▋                      | 16.8M/42.3M [00:15<00:20, 1.23MB/s]
     40%|██████████████▉                      | 17.0M/42.3M [00:15<00:21, 1.18MB/s]
     41%|███████████████                      | 17.3M/42.3M [00:15<00:20, 1.19MB/s]
     41%|███████████████▎                     | 17.4M/42.3M [00:15<00:22, 1.13MB/s]
     42%|███████████████▍                     | 17.6M/42.3M [00:16<00:22, 1.11MB/s]
     42%|███████████████▌                     | 17.9M/42.3M [00:16<00:21, 1.12MB/s]
     43%|███████████████▊                     | 18.1M/42.3M [00:16<00:21, 1.13MB/s]
     43%|███████████████▉                     | 18.2M/42.3M [00:16<00:22, 1.08MB/s]
     44%|████████████████▏                    | 18.4M/42.3M [00:16<00:22, 1.07MB/s]
     44%|████████████████▎                    | 18.7M/42.3M [00:17<00:21, 1.09MB/s]
     45%|████████████████▌                    | 18.9M/42.3M [00:17<00:19, 1.21MB/s]
     45%|████████████████▋                    | 19.1M/42.3M [00:17<00:19, 1.17MB/s]
     46%|█████████████████                    | 19.6M/42.3M [00:17<00:15, 1.50MB/s]
     47%|█████████████████▍                   | 19.9M/42.3M [00:17<00:14, 1.55MB/s]
     48%|█████████████████▌                   | 20.1M/42.3M [00:17<00:15, 1.46MB/s]
     49%|██████████████████                   | 20.6M/42.3M [00:18<00:12, 1.81MB/s]
     50%|██████████████████▎                  | 20.9M/42.3M [00:18<00:11, 1.84MB/s]
     51%|██████████████████▋                  | 21.4M/42.3M [00:18<00:10, 2.03MB/s]
     51%|███████████████████                  | 21.7M/42.3M [00:18<00:10, 1.95MB/s]
     52%|███████████████████▎                 | 22.0M/42.3M [00:18<00:11, 1.84MB/s]
     53%|███████████████████▌                 | 22.3M/42.3M [00:19<00:11, 1.74MB/s]
     53%|███████████████████▊                 | 22.6M/42.3M [00:19<00:11, 1.72MB/s]
     54%|████████████████████                 | 22.9M/42.3M [00:19<00:11, 1.68MB/s]
     55%|████████████████████▎                | 23.2M/42.3M [00:19<00:11, 1.67MB/s]
     55%|████████████████████▌                | 23.4M/42.3M [00:19<00:12, 1.54MB/s]
     56%|████████████████████▊                | 23.7M/42.3M [00:19<00:11, 1.55MB/s]
     57%|█████████████████████                | 24.1M/42.3M [00:20<00:10, 1.69MB/s]
     58%|█████████████████████▎               | 24.3M/42.3M [00:20<00:11, 1.56MB/s]
     58%|█████████████████████▌               | 24.7M/42.3M [00:20<00:10, 1.62MB/s]
     59%|█████████████████████▊               | 24.9M/42.3M [00:20<00:10, 1.58MB/s]
     60%|██████████████████████               | 25.2M/42.3M [00:20<00:11, 1.50MB/s]
     60%|██████████████████████▎              | 25.5M/42.3M [00:21<00:11, 1.47MB/s]
     61%|██████████████████████▌              | 25.7M/42.3M [00:21<00:11, 1.48MB/s]
     62%|███████████████████████              | 26.4M/42.3M [00:21<00:07, 2.14MB/s]
     63%|███████████████████████▎             | 26.7M/42.3M [00:21<00:08, 1.95MB/s]
     64%|███████████████████████▋             | 27.0M/42.3M [00:21<00:08, 1.86MB/s]
     65%|███████████████████████▉             | 27.4M/42.3M [00:22<00:08, 1.86MB/s]
     65%|████████████████████████▏            | 27.6M/42.3M [00:22<00:08, 1.75MB/s]
     66%|████████████████████████▍            | 27.9M/42.3M [00:22<00:08, 1.72MB/s]
     67%|████████████████████████▋            | 28.2M/42.3M [00:22<00:08, 1.66MB/s]
     67%|████████████████████████▊            | 28.4M/42.3M [00:22<00:09, 1.42MB/s]
     68%|█████████████████████████▏           | 28.7M/42.3M [00:22<00:08, 1.54MB/s]
     69%|█████████████████████████▎           | 29.0M/42.3M [00:23<00:08, 1.50MB/s]
     70%|█████████████████████████▊           | 29.5M/42.3M [00:23<00:07, 1.81MB/s]
     70%|█████████████████████████▉           | 29.7M/42.3M [00:23<00:07, 1.67MB/s]
     71%|██████████████████████████▏          | 29.9M/42.3M [00:23<00:08, 1.43MB/s]
     71%|██████████████████████████▎          | 30.1M/42.3M [00:23<00:08, 1.40MB/s]
     72%|██████████████████████████▋          | 30.5M/42.3M [00:24<00:07, 1.63MB/s]
     73%|██████████████████████████▉          | 30.9M/42.3M [00:24<00:06, 1.67MB/s]
     74%|███████████████████████████▏         | 31.1M/42.3M [00:24<00:07, 1.56MB/s]
     74%|███████████████████████████▌         | 31.5M/42.3M [00:24<00:06, 1.70MB/s]
     75%|███████████████████████████▊         | 31.8M/42.3M [00:24<00:06, 1.64MB/s]
     76%|████████████████████████████         | 32.0M/42.3M [00:25<00:06, 1.62MB/s]
     76%|████████████████████████████▎        | 32.3M/42.3M [00:25<00:06, 1.61MB/s]
     77%|████████████████████████████▌        | 32.7M/42.3M [00:25<00:05, 1.65MB/s]
     78%|████████████████████████████▊        | 33.0M/42.3M [00:25<00:05, 1.69MB/s]
     79%|█████████████████████████████▏       | 33.3M/42.3M [00:25<00:05, 1.72MB/s]
     80%|█████████████████████████████▍       | 33.6M/42.3M [00:25<00:05, 1.71MB/s]
     80%|█████████████████████████████▌       | 33.8M/42.3M [00:26<00:05, 1.51MB/s]
     81%|█████████████████████████████▊       | 34.1M/42.3M [00:26<00:05, 1.48MB/s]
     81%|█████████████████████████████▉       | 34.3M/42.3M [00:26<00:06, 1.28MB/s]
     81%|██████████████████████████████▏      | 34.4M/42.3M [00:26<00:06, 1.18MB/s]
     82%|██████████████████████████████▎      | 34.6M/42.3M [00:26<00:06, 1.17MB/s]
     82%|██████████████████████████████▌      | 34.9M/42.3M [00:27<00:06, 1.19MB/s]
     83%|██████████████████████████████▊      | 35.2M/42.3M [00:27<00:05, 1.36MB/s]
     84%|███████████████████████████████▏     | 35.6M/42.3M [00:27<00:04, 1.61MB/s]
     85%|███████████████████████████████▍     | 36.0M/42.3M [00:27<00:03, 1.68MB/s]
     86%|███████████████████████████████▋     | 36.2M/42.3M [00:27<00:03, 1.57MB/s]
     86%|███████████████████████████████▊     | 36.4M/42.3M [00:27<00:04, 1.37MB/s]
     87%|████████████████████████████████     | 36.6M/42.3M [00:28<00:04, 1.30MB/s]
     87%|████████████████████████████████▎    | 36.9M/42.3M [00:28<00:03, 1.38MB/s]
     88%|████████████████████████████████▍    | 37.1M/42.3M [00:28<00:03, 1.36MB/s]
     89%|████████████████████████████████▊    | 37.5M/42.3M [00:28<00:03, 1.53MB/s]
     89%|█████████████████████████████████    | 37.8M/42.3M [00:28<00:02, 1.60MB/s]
     90%|█████████████████████████████████▎   | 38.0M/42.3M [00:29<00:02, 1.46MB/s]
     91%|█████████████████████████████████▌   | 38.4M/42.3M [00:29<00:02, 1.63MB/s]
     92%|█████████████████████████████████▉   | 38.8M/42.3M [00:29<00:02, 1.75MB/s]
     92%|██████████████████████████████████▏  | 39.1M/42.3M [00:29<00:01, 1.74MB/s]
     93%|██████████████████████████████████▌  | 39.5M/42.3M [00:29<00:01, 1.88MB/s]
     94%|██████████████████████████████████▉  | 39.9M/42.3M [00:30<00:01, 1.92MB/s]
     95%|███████████████████████████████████▏ | 40.2M/42.3M [00:30<00:01, 1.82MB/s]
     96%|███████████████████████████████████▍ | 40.5M/42.3M [00:30<00:00, 1.85MB/s]
     97%|███████████████████████████████████▋ | 40.8M/42.3M [00:30<00:00, 1.75MB/s]
     97%|███████████████████████████████████▉ | 41.1M/42.3M [00:30<00:00, 1.67MB/s]
     98%|████████████████████████████████████▏| 41.4M/42.3M [00:30<00:00, 1.62MB/s]
     99%|████████████████████████████████████▍| 41.7M/42.3M [00:31<00:00, 1.66MB/s]
     99%|████████████████████████████████████▊| 42.0M/42.3M [00:31<00:00, 1.69MB/s]
    100%|████████████████████████████████████▉| 42.3M/42.3M [00:31<00:00, 1.05MB/s]
      0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
    100%|██████████████████████████████████████| 42.3M/42.3M [00:00<00:00, 226GB/s]
 
 
 
@@ -68,7 +68,7 @@ png file.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.262 seconds)
+   **Total running time of the script:** (0 minutes 37.675 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 ccfbf0ff9..02eb23841 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 0x7f338d3b99e0>
+    Exception ignored in: <function tqdm.__del__ at 0x7f91379b1b20>
     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, 1454.54it/s]
+
      0%|          | 0/10 [00:00<?, ?it/s]
    100%|██████████| 10/10 [00:00<00:00, 1480.36it/s]
 
 
 
@@ -164,7 +164,7 @@ sphinx_gallery_thumbnail_number = 2
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.562 seconds)
+   **Total running time of the script:** (0 minutes 0.496 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 7027b9b9f..4bb0019f3 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
 =================
-**00:09.148** total execution time for 3 files **from auto_examples/model_fitting**:
+**00:38.491** 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``)
-     - 00:08.262
+     - 00:37.675
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_plot_residual.py` (``plot_residual.py``)
-     - 00:00.562
+     - 00:00.496
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_simple_arctan_fit.py` (``simple_arctan_fit.py``)
-     - 00:00.323
+     - 00:00.320
      - 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 d66bd9915..7a8f01a40 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 | 1.00025977 | 0.00213855 |       None |       None |   True
-                 k |    True | 0.97361073 | 0.08147353 |       None |       None |  False
-                x0 |    True | 0.05768355 | 0.08070912 |       None |       None |  False
+                 A |    True | 0.99693198 | 0.00202875 |       None |       None |   True
+                 k |    True | 0.99283774 | 0.07998579 |       None |       None |  False
+                x0 |    True | 0.00316172 | 0.07595852 |       None |       None |  False
 
 
 
@@ -91,7 +91,7 @@ Fit an arctan function.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.323 seconds)
+   **Total running time of the script:** (0 minutes 0.320 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 ecd24cfc1..7fc10ae38 100644
--- a/_sources/sg_execution_times.rst.txt
+++ b/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:09.148** total execution time for 3 files **from all galleries**:
+**00:38.491** 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``)
-     - 00:08.262
+     - 00:37.675
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_plot_residual.py` (``../examples/model_fitting/plot_residual.py``)
-     - 00:00.562
+     - 00:00.496
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_simple_arctan_fit.py` (``../examples/model_fitting/simple_arctan_fit.py``)
-     - 00:00.323
+     - 00:00.320
      - 0.0
diff --git a/auto_examples/model_fitting/EELS_curve_fitting.html b/auto_examples/model_fitting/EELS_curve_fitting.html
index bb89a9f2c..bf76226d6 100644
--- a/auto_examples/model_fitting/EELS_curve_fitting.html
+++ b/auto_examples/model_fitting/EELS_curve_fitting.html
@@ -457,28 +457,178 @@
 <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%|                                      | 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%|                                      | 42.0k/42.3M [00:00&lt;01:56, 363kB/s]
+  0%|                                       | 106k/42.3M [00:00&lt;01:49, 385kB/s]
+  1%|▏                                      | 270k/42.3M [00:00&lt;01:05, 646kB/s]
+  1%|▍                                      | 435k/42.3M [00:00&lt;00:55, 750kB/s]
+  1%|▌                                      | 632k/42.3M [00:00&lt;00:48, 867kB/s]
+  2%|▋                                      | 796k/42.3M [00:01&lt;00:47, 872kB/s]
+  2%|▉                                      | 991k/42.3M [00:01&lt;00:44, 930kB/s]
+  3%|█                                    | 1.22M/42.3M [00:01&lt;00:39, 1.03MB/s]
+  3%|█▎                                   | 1.45M/42.3M [00:01&lt;00:37, 1.09MB/s]
+  4%|█▍                                   | 1.66M/42.3M [00:01&lt;00:36, 1.11MB/s]
+  4%|█▋                                   | 1.89M/42.3M [00:01&lt;00:35, 1.14MB/s]
+  5%|█▊                                   | 2.05M/42.3M [00:02&lt;00:37, 1.07MB/s]
+  5%|█▉                                   | 2.23M/42.3M [00:02&lt;00:38, 1.04MB/s]
+  6%|██                                   | 2.41M/42.3M [00:02&lt;00:39, 1.02MB/s]
+  6%|██▎                                  | 2.64M/42.3M [00:02&lt;00:36, 1.08MB/s]
+  7%|██▍                                  | 2.82M/42.3M [00:02&lt;00:37, 1.05MB/s]
+  7%|██▋                                  | 3.07M/42.3M [00:03&lt;00:34, 1.13MB/s]
+  8%|██▊                                  | 3.28M/42.3M [00:03&lt;00:34, 1.13MB/s]
+  8%|███                                  | 3.48M/42.3M [00:03&lt;00:34, 1.11MB/s]
+  9%|███▏                                 | 3.71M/42.3M [00:03&lt;00:33, 1.15MB/s]
+  9%|███▍                                 | 3.87M/42.3M [00:03&lt;00:35, 1.07MB/s]
+ 10%|███▌                                 | 4.11M/42.3M [00:03&lt;00:33, 1.14MB/s]
+ 10%|███▋                                 | 4.28M/42.3M [00:04&lt;00:35, 1.06MB/s]
+ 11%|███▉                                 | 4.49M/42.3M [00:04&lt;00:34, 1.08MB/s]
+ 11%|████                                 | 4.70M/42.3M [00:04&lt;00:34, 1.10MB/s]
+ 12%|████▎                                | 4.88M/42.3M [00:04&lt;00:35, 1.06MB/s]
+ 12%|████▍                                | 5.08M/42.3M [00:04&lt;00:35, 1.06MB/s]
+ 13%|████▋                                | 5.32M/42.3M [00:05&lt;00:32, 1.14MB/s]
+ 13%|████▊                                | 5.49M/42.3M [00:05&lt;00:34, 1.06MB/s]
+ 13%|████▉                                | 5.68M/42.3M [00:05&lt;00:34, 1.06MB/s]
+ 14%|█████▏                               | 5.93M/42.3M [00:05&lt;00:31, 1.14MB/s]
+ 15%|█████▍                               | 6.16M/42.3M [00:05&lt;00:31, 1.16MB/s]
+ 15%|█████▌                               | 6.35M/42.3M [00:06&lt;00:31, 1.13MB/s]
+ 15%|█████▋                               | 6.55M/42.3M [00:06&lt;00:32, 1.11MB/s]
+ 16%|█████▉                               | 6.80M/42.3M [00:06&lt;00:30, 1.17MB/s]
+ 17%|██████                               | 6.98M/42.3M [00:06&lt;00:31, 1.11MB/s]
+ 17%|██████▎                              | 7.16M/42.3M [00:06&lt;00:32, 1.07MB/s]
+ 17%|██████▍                              | 7.32M/42.3M [00:06&lt;00:34, 1.01MB/s]
+ 18%|██████▋                               | 7.50M/42.3M [00:07&lt;00:34, 998kB/s]
+ 18%|██████▋                              | 7.71M/42.3M [00:07&lt;00:33, 1.04MB/s]
+ 19%|██████▉                              | 7.91M/42.3M [00:07&lt;00:32, 1.05MB/s]
+ 19%|███████                              | 8.10M/42.3M [00:07&lt;00:32, 1.05MB/s]
+ 20%|███████▎                             | 8.30M/42.3M [00:07&lt;00:32, 1.05MB/s]
+ 20%|███████▍                             | 8.51M/42.3M [00:08&lt;00:31, 1.08MB/s]
+ 21%|███████▌                             | 8.68M/42.3M [00:08&lt;00:32, 1.02MB/s]
+ 21%|███████▊                             | 8.86M/42.3M [00:08&lt;00:33, 1.00MB/s]
+ 21%|███████▉                             | 9.05M/42.3M [00:08&lt;00:32, 1.02MB/s]
+ 22%|████████▏                            | 9.31M/42.3M [00:08&lt;00:29, 1.14MB/s]
+ 22%|████████▎                            | 9.49M/42.3M [00:09&lt;00:30, 1.09MB/s]
+ 23%|████████▍                            | 9.67M/42.3M [00:09&lt;00:31, 1.05MB/s]
+ 23%|████████▊                             | 9.84M/42.3M [00:09&lt;00:32, 997kB/s]
+ 24%|█████████                             | 10.0M/42.3M [00:09&lt;00:32, 989kB/s]
+ 24%|█████████▏                            | 10.2M/42.3M [00:09&lt;00:32, 983kB/s]
+ 25%|█████████                            | 10.4M/42.3M [00:09&lt;00:30, 1.03MB/s]
+ 25%|█████████▎                           | 10.6M/42.3M [00:10&lt;00:29, 1.06MB/s]
+ 26%|█████████▍                           | 10.8M/42.3M [00:10&lt;00:28, 1.09MB/s]
+ 26%|█████████▋                           | 11.1M/42.3M [00:10&lt;00:25, 1.24MB/s]
+ 27%|█████████▉                           | 11.4M/42.3M [00:10&lt;00:25, 1.24MB/s]
+ 28%|██████████▏                          | 11.6M/42.3M [00:10&lt;00:23, 1.31MB/s]
+ 28%|██████████▍                          | 11.9M/42.3M [00:11&lt;00:23, 1.31MB/s]
+ 29%|██████████▌                          | 12.1M/42.3M [00:11&lt;00:23, 1.26MB/s]
+ 29%|██████████▊                          | 12.3M/42.3M [00:11&lt;00:24, 1.23MB/s]
+ 30%|██████████▉                          | 12.5M/42.3M [00:11&lt;00:24, 1.23MB/s]
+ 30%|███████████▏                         | 12.7M/42.3M [00:11&lt;00:25, 1.15MB/s]
+ 31%|███████████▎                         | 12.9M/42.3M [00:11&lt;00:26, 1.12MB/s]
+ 31%|███████████▍                         | 13.1M/42.3M [00:12&lt;00:25, 1.13MB/s]
+ 32%|███████████▋                         | 13.4M/42.3M [00:12&lt;00:24, 1.19MB/s]
+ 32%|███████████▉                         | 13.6M/42.3M [00:12&lt;00:23, 1.20MB/s]
+ 33%|████████████                         | 13.8M/42.3M [00:12&lt;00:24, 1.18MB/s]
+ 33%|████████████▏                        | 14.0M/42.3M [00:12&lt;00:25, 1.12MB/s]
+ 34%|████████████▍                        | 14.2M/42.3M [00:13&lt;00:25, 1.10MB/s]
+ 34%|████████████▌                        | 14.4M/42.3M [00:13&lt;00:24, 1.14MB/s]
+ 35%|████████████▊                        | 14.6M/42.3M [00:13&lt;00:23, 1.16MB/s]
+ 35%|████████████▉                        | 14.8M/42.3M [00:13&lt;00:24, 1.13MB/s]
+ 36%|█████████████▏                       | 15.1M/42.3M [00:13&lt;00:21, 1.24MB/s]
+ 36%|█████████████▎                       | 15.3M/42.3M [00:14&lt;00:23, 1.13MB/s]
+ 37%|█████████████▌                       | 15.5M/42.3M [00:14&lt;00:24, 1.11MB/s]
+ 37%|█████████████▋                       | 15.7M/42.3M [00:14&lt;00:23, 1.12MB/s]
+ 38%|█████████████▉                       | 15.9M/42.3M [00:14&lt;00:23, 1.13MB/s]
+ 38%|██████████████▏                      | 16.1M/42.3M [00:14&lt;00:22, 1.18MB/s]
+ 39%|██████████████▎                      | 16.4M/42.3M [00:14&lt;00:22, 1.17MB/s]
+ 39%|██████████████▌                      | 16.6M/42.3M [00:15&lt;00:21, 1.19MB/s]
+ 40%|██████████████▋                      | 16.8M/42.3M [00:15&lt;00:20, 1.23MB/s]
+ 40%|██████████████▉                      | 17.0M/42.3M [00:15&lt;00:21, 1.18MB/s]
+ 41%|███████████████                      | 17.3M/42.3M [00:15&lt;00:20, 1.19MB/s]
+ 41%|███████████████▎                     | 17.4M/42.3M [00:15&lt;00:22, 1.13MB/s]
+ 42%|███████████████▍                     | 17.6M/42.3M [00:16&lt;00:22, 1.11MB/s]
+ 42%|███████████████▌                     | 17.9M/42.3M [00:16&lt;00:21, 1.12MB/s]
+ 43%|███████████████▊                     | 18.1M/42.3M [00:16&lt;00:21, 1.13MB/s]
+ 43%|███████████████▉                     | 18.2M/42.3M [00:16&lt;00:22, 1.08MB/s]
+ 44%|████████████████▏                    | 18.4M/42.3M [00:16&lt;00:22, 1.07MB/s]
+ 44%|████████████████▎                    | 18.7M/42.3M [00:17&lt;00:21, 1.09MB/s]
+ 45%|████████████████▌                    | 18.9M/42.3M [00:17&lt;00:19, 1.21MB/s]
+ 45%|████████████████▋                    | 19.1M/42.3M [00:17&lt;00:19, 1.17MB/s]
+ 46%|█████████████████                    | 19.6M/42.3M [00:17&lt;00:15, 1.50MB/s]
+ 47%|█████████████████▍                   | 19.9M/42.3M [00:17&lt;00:14, 1.55MB/s]
+ 48%|█████████████████▌                   | 20.1M/42.3M [00:17&lt;00:15, 1.46MB/s]
+ 49%|██████████████████                   | 20.6M/42.3M [00:18&lt;00:12, 1.81MB/s]
+ 50%|██████████████████▎                  | 20.9M/42.3M [00:18&lt;00:11, 1.84MB/s]
+ 51%|██████████████████▋                  | 21.4M/42.3M [00:18&lt;00:10, 2.03MB/s]
+ 51%|███████████████████                  | 21.7M/42.3M [00:18&lt;00:10, 1.95MB/s]
+ 52%|███████████████████▎                 | 22.0M/42.3M [00:18&lt;00:11, 1.84MB/s]
+ 53%|███████████████████▌                 | 22.3M/42.3M [00:19&lt;00:11, 1.74MB/s]
+ 53%|███████████████████▊                 | 22.6M/42.3M [00:19&lt;00:11, 1.72MB/s]
+ 54%|████████████████████                 | 22.9M/42.3M [00:19&lt;00:11, 1.68MB/s]
+ 55%|████████████████████▎                | 23.2M/42.3M [00:19&lt;00:11, 1.67MB/s]
+ 55%|████████████████████▌                | 23.4M/42.3M [00:19&lt;00:12, 1.54MB/s]
+ 56%|████████████████████▊                | 23.7M/42.3M [00:19&lt;00:11, 1.55MB/s]
+ 57%|█████████████████████                | 24.1M/42.3M [00:20&lt;00:10, 1.69MB/s]
+ 58%|█████████████████████▎               | 24.3M/42.3M [00:20&lt;00:11, 1.56MB/s]
+ 58%|█████████████████████▌               | 24.7M/42.3M [00:20&lt;00:10, 1.62MB/s]
+ 59%|█████████████████████▊               | 24.9M/42.3M [00:20&lt;00:10, 1.58MB/s]
+ 60%|██████████████████████               | 25.2M/42.3M [00:20&lt;00:11, 1.50MB/s]
+ 60%|██████████████████████▎              | 25.5M/42.3M [00:21&lt;00:11, 1.47MB/s]
+ 61%|██████████████████████▌              | 25.7M/42.3M [00:21&lt;00:11, 1.48MB/s]
+ 62%|███████████████████████              | 26.4M/42.3M [00:21&lt;00:07, 2.14MB/s]
+ 63%|███████████████████████▎             | 26.7M/42.3M [00:21&lt;00:08, 1.95MB/s]
+ 64%|███████████████████████▋             | 27.0M/42.3M [00:21&lt;00:08, 1.86MB/s]
+ 65%|███████████████████████▉             | 27.4M/42.3M [00:22&lt;00:08, 1.86MB/s]
+ 65%|████████████████████████▏            | 27.6M/42.3M [00:22&lt;00:08, 1.75MB/s]
+ 66%|████████████████████████▍            | 27.9M/42.3M [00:22&lt;00:08, 1.72MB/s]
+ 67%|████████████████████████▋            | 28.2M/42.3M [00:22&lt;00:08, 1.66MB/s]
+ 67%|████████████████████████▊            | 28.4M/42.3M [00:22&lt;00:09, 1.42MB/s]
+ 68%|█████████████████████████▏           | 28.7M/42.3M [00:22&lt;00:08, 1.54MB/s]
+ 69%|█████████████████████████▎           | 29.0M/42.3M [00:23&lt;00:08, 1.50MB/s]
+ 70%|█████████████████████████▊           | 29.5M/42.3M [00:23&lt;00:07, 1.81MB/s]
+ 70%|█████████████████████████▉           | 29.7M/42.3M [00:23&lt;00:07, 1.67MB/s]
+ 71%|██████████████████████████▏          | 29.9M/42.3M [00:23&lt;00:08, 1.43MB/s]
+ 71%|██████████████████████████▎          | 30.1M/42.3M [00:23&lt;00:08, 1.40MB/s]
+ 72%|██████████████████████████▋          | 30.5M/42.3M [00:24&lt;00:07, 1.63MB/s]
+ 73%|██████████████████████████▉          | 30.9M/42.3M [00:24&lt;00:06, 1.67MB/s]
+ 74%|███████████████████████████▏         | 31.1M/42.3M [00:24&lt;00:07, 1.56MB/s]
+ 74%|███████████████████████████▌         | 31.5M/42.3M [00:24&lt;00:06, 1.70MB/s]
+ 75%|███████████████████████████▊         | 31.8M/42.3M [00:24&lt;00:06, 1.64MB/s]
+ 76%|████████████████████████████         | 32.0M/42.3M [00:25&lt;00:06, 1.62MB/s]
+ 76%|████████████████████████████▎        | 32.3M/42.3M [00:25&lt;00:06, 1.61MB/s]
+ 77%|████████████████████████████▌        | 32.7M/42.3M [00:25&lt;00:05, 1.65MB/s]
+ 78%|████████████████████████████▊        | 33.0M/42.3M [00:25&lt;00:05, 1.69MB/s]
+ 79%|█████████████████████████████▏       | 33.3M/42.3M [00:25&lt;00:05, 1.72MB/s]
+ 80%|█████████████████████████████▍       | 33.6M/42.3M [00:25&lt;00:05, 1.71MB/s]
+ 80%|█████████████████████████████▌       | 33.8M/42.3M [00:26&lt;00:05, 1.51MB/s]
+ 81%|█████████████████████████████▊       | 34.1M/42.3M [00:26&lt;00:05, 1.48MB/s]
+ 81%|█████████████████████████████▉       | 34.3M/42.3M [00:26&lt;00:06, 1.28MB/s]
+ 81%|██████████████████████████████▏      | 34.4M/42.3M [00:26&lt;00:06, 1.18MB/s]
+ 82%|██████████████████████████████▎      | 34.6M/42.3M [00:26&lt;00:06, 1.17MB/s]
+ 82%|██████████████████████████████▌      | 34.9M/42.3M [00:27&lt;00:06, 1.19MB/s]
+ 83%|██████████████████████████████▊      | 35.2M/42.3M [00:27&lt;00:05, 1.36MB/s]
+ 84%|███████████████████████████████▏     | 35.6M/42.3M [00:27&lt;00:04, 1.61MB/s]
+ 85%|███████████████████████████████▍     | 36.0M/42.3M [00:27&lt;00:03, 1.68MB/s]
+ 86%|███████████████████████████████▋     | 36.2M/42.3M [00:27&lt;00:03, 1.57MB/s]
+ 86%|███████████████████████████████▊     | 36.4M/42.3M [00:27&lt;00:04, 1.37MB/s]
+ 87%|████████████████████████████████     | 36.6M/42.3M [00:28&lt;00:04, 1.30MB/s]
+ 87%|████████████████████████████████▎    | 36.9M/42.3M [00:28&lt;00:03, 1.38MB/s]
+ 88%|████████████████████████████████▍    | 37.1M/42.3M [00:28&lt;00:03, 1.36MB/s]
+ 89%|████████████████████████████████▊    | 37.5M/42.3M [00:28&lt;00:03, 1.53MB/s]
+ 89%|█████████████████████████████████    | 37.8M/42.3M [00:28&lt;00:02, 1.60MB/s]
+ 90%|█████████████████████████████████▎   | 38.0M/42.3M [00:29&lt;00:02, 1.46MB/s]
+ 91%|█████████████████████████████████▌   | 38.4M/42.3M [00:29&lt;00:02, 1.63MB/s]
+ 92%|█████████████████████████████████▉   | 38.8M/42.3M [00:29&lt;00:02, 1.75MB/s]
+ 92%|██████████████████████████████████▏  | 39.1M/42.3M [00:29&lt;00:01, 1.74MB/s]
+ 93%|██████████████████████████████████▌  | 39.5M/42.3M [00:29&lt;00:01, 1.88MB/s]
+ 94%|██████████████████████████████████▉  | 39.9M/42.3M [00:30&lt;00:01, 1.92MB/s]
+ 95%|███████████████████████████████████▏ | 40.2M/42.3M [00:30&lt;00:01, 1.82MB/s]
+ 96%|███████████████████████████████████▍ | 40.5M/42.3M [00:30&lt;00:00, 1.85MB/s]
+ 97%|███████████████████████████████████▋ | 40.8M/42.3M [00:30&lt;00:00, 1.75MB/s]
+ 97%|███████████████████████████████████▉ | 41.1M/42.3M [00:30&lt;00:00, 1.67MB/s]
+ 98%|████████████████████████████████████▏| 41.4M/42.3M [00:30&lt;00:00, 1.62MB/s]
+ 99%|████████████████████████████████████▍| 41.7M/42.3M [00:31&lt;00:00, 1.66MB/s]
+ 99%|████████████████████████████████████▊| 42.0M/42.3M [00:31&lt;00:00, 1.69MB/s]
+100%|████████████████████████████████████▉| 42.3M/42.3M [00:31&lt;00:00, 1.05MB/s]
   0%|                                              | 0.00/42.3M [00:00&lt;?, ?B/s]
-100%|██████████████████████████████████████| 42.3M/42.3M [00:00&lt;00:00, 195GB/s]
+100%|██████████████████████████████████████| 42.3M/42.3M [00:00&lt;00:00, 226GB/s]
 </pre></div>
 </div>
 <div class="line-block">
@@ -500,7 +650,7 @@
 <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 8.262 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 37.675 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 1b9c1bcd3..8cba7f0ca 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 0x7f338d3b99e0&gt;
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Exception ignored in: &lt;function tqdm.__del__ at 0x7f91379b1b20&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, 1454.54it/s]
+100%|██████████| 10/10 [00:00&lt;00:00, 1480.36it/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 0.562 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.496 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 8600564f5..13f5c4967 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>00:09.148</strong> total execution time for 3 files <strong>from auto_examples/model_fitting</strong>:</p>
+<p><strong>00:38.491</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>00:08.262</p></td>
+<td><p>00:37.675</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>00:00.562</p></td>
+<td><p>00:00.496</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>00:00.323</p></td>
+<td><p>00:00.320</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 ddaf1ad39..b42f7dcb6 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 | 1.00025977 | 0.00213855 |       None |       None |   True
-             k |    True | 0.97361073 | 0.08147353 |       None |       None |  False
-            x0 |    True | 0.05768355 | 0.08070912 |       None |       None |  False
+             A |    True | 0.99693198 | 0.00202875 |       None |       None |   True
+             k |    True | 0.99283774 | 0.07998579 |       None |       None |  False
+            x0 |    True | 0.00316172 | 0.07595852 |       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 0.323 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.320 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/searchindex.js b/searchindex.js
index 4dd788b4d..035e003fe 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], "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
+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], "0k": 1, "01": [1, 11, 15, 16, 18, 20], "56": [1, 20], "363kb": 1, "106k": 1, "49": 1, "385kb": 1, "1": [1, 5, 11, 12, 14, 15, 16, 18, 19, 20, 21], "270k": 1, "05": [1, 11], "646kb": 1, "435k": 1, "55": [1, 20, 21], "750kb": 1, "632k": 1, "48": 1, "867kb": 1, "2": [1, 3, 11, 14, 15, 16, 19, 20, 21, 24], "796k": 1, "47": 1, "872kb": 1, "991k": 1, "44": 1, "930kb": 1, "3": [1, 3, 4, 7, 9, 10, 11, 12, 15, 16, 17, 18, 20, 21], "22m": 1, "39": 1, "03mb": 1, "45m": 1, "37": [1, 4, 16, 17, 20], "09mb": 1, "4": [1, 7, 11, 12, 15, 16, 18, 20, 21], "66m": 1, "36": [1, 16], "11mb": 1, "89m": 1, "35": [1, 20], "14mb": 1, "5": [1, 11, 12, 16, 20, 21], "05m": 1, "02": 1, "07mb": 1, "23m": 1, "38": [1, 4, 7, 17, 20], "04mb": 1, "6": [1, 12, 14, 15, 16, 20, 21], "41m": 1, "02mb": 1, "64m": 1, "08mb": 1, "7": [1, 7, 20, 21], "82m": 1, "05mb": 1, "07m": 1, "03": 1, "34": 1, "13mb": 1, "8": [1, 14, 16, 18, 20], "28m": 1, "48m": 1, "9": [1, 3, 16, 20, 21], "71m": 1, "33": [1, 7], "15mb": 1, "87m": 1, "10": [1, 3, 11, 12, 14, 15, 16, 18, 20, 21], "11m": 1, "04": [1, 20], "06mb": 1, "11": [1, 3, 14], "49m": 1, "70m": 1, "10mb": 1, "12": [1, 14], "88m": 1, "08m": 1, "13": [1, 7, 20], "32m": 1, "32": [1, 7, 11, 16], "68m": 1, "14": [1, 7], "93m": 1, "31": 1, "15": [1, 11, 16, 18, 20], "16m": 1, "16mb": 1, "35m": 1, "06": 1, "55m": 1, "16": 1, "80m": 1, "30": [1, 16, 20, 21], "17mb": 1, "17": 1, "98m": 1, "01mb": 1, "18": 1, "50m": 1, "07": 1, "998kb": 1, "19": [1, 11], "91m": 1, "10m": 1, "20": [1, 11, 16, 21], "30m": 1, "51m": 1, "08": 1, "21": 1, "86m": 1, "00mb": 1, "22": [1, 7, 18], "31m": 1, "29": 1, "09": 1, "23": 1, "67m": 1, "84m": 1, "997kb": 1, "24": 1, "0m": 1, "989kb": 1, "2m": 1, "983kb": 1, "25": 1, "4m": 1, "6m": 1, "26": [1, 20], "8m": 1, "28": 1, "1m": 1, "24mb": 1, "27": [1, 7], "31mb": 1, "9m": 1, "26mb": 1, "23mb": 1, "5m": 1, "7m": 1, "12mb": 1, "19mb": 1, "20mb": 1, "18mb": 1, "40": [1, 21], "41": [1, 16, 20], "43": 1, "45": [1, 21], "21mb": 1, "46": 1, "50mb": 1, "55mb": 1, "46mb": 1, "81mb": 1, "50": [1, 14, 20], "84mb": 1, "51": 1, "95mb": 1, "52": 1, "53": 1, "74mb": 1, "72mb": 1, "54": 1, "68mb": 1, "67mb": 1, "54mb": 1, "57": [1, 16, 20], "69mb": 1, "58": 1, "56mb": 1, "62mb": 1, "59": [1, 16, 20], "58mb": 1, "60": [1, 16], "47mb": 1, "61": [1, 18], "48mb": 1, "62": 1, "63": [1, 11, 20], "64": [1, 11, 16], "86mb": 1, "65": [1, 18], "75mb": 1, "66": 1, "67": 1, "66mb": 1, "42mb": 1, "68": 1, "69": 1, "70": [1, 20], "71": [1, 18], "43mb": 1, "40mb": 1, "72": 1, "63mb": 1, "73": 1, "74": 1, "70mb": 1, "75": [1, 20], "64mb": 1, "76": 1, "61mb": 1, "77": 1, "65mb": 1, "78": 1, "79": 1, "80": [1, 12, 16, 20], "71mb": 1, "51mb": 1, "81": [1, 18], "28mb": 1, "82": 1, "83": 1, "36mb": 1, "84": [1, 16, 20], "85": 1, "86": 1, "57mb": 1, "37mb": 1, "87": 1, "30mb": 1, "38mb": 1, "88": [1, 14, 20], "89": [1, 18], "53mb": 1, "60mb": 1, "90": [1, 24], "91": 1, "92": [1, 18], "93": [1, 14], "88mb": 1, "94": 1, "92mb": 1, "95": [1, 20], "82mb": 1, "96": [1, 16, 18, 20], "85mb": 1, "97": 1, "98": 1, "99": 1, "100": [1, 3, 14, 15, 16, 20], "226gb": 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], "675": [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, "0x7f91379b1b20": 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], "1480": 3, "36it": 3, "plot_residu": [3, 4, 17], "true": [3, 5, 7, 11, 12, 15, 16, 20, 21], "sphinx_gallery_thumbnail_numb": 3, "496": [3, 4, 17], "491": [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], "320": [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], "99693198": 5, "00202875": 5, "none": [5, 11, 12, 15, 16], "k": [5, 11, 12, 14, 18, 20, 21, 24], "99283774": 5, "07998579": 5, "x0": [5, 11], "00316172": 5, "07595852": 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], "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, "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], "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], "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, "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, "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 f0133eaba..bb04ac99b 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>00:09.148</strong> total execution time for 3 files <strong>from all galleries</strong>:</p>
+<p><strong>00:38.491</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>00:08.262</p></td>
+<td><p>00:37.675</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>00:00.562</p></td>
+<td><p>00:00.496</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>00:00.323</p></td>
+<td><p>00:00.320</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>