From 0ad849356e37002cd866b2600aa54ee51d9f3374 Mon Sep 17 00:00:00 2001 From: vals Date: Mon, 13 May 2024 13:17:53 +0000 Subject: [PATCH] deploy: 25d14072466590c58e4d3defd0ee85842dbc55a5 --- 201109_Make_records_figure.html | 46 +++--- ...a99461a058c8b79977c9a4bbfedf54411c9ee.png} | Bin 382902 -> 382901 bytes _static/pygments.css | 138 +++++++++--------- example_analysis.html | 2 +- searchindex.js | 2 +- 5 files changed, 94 insertions(+), 94 deletions(-) rename _images/{6090a282b0dc1c21e4d37e69f9464374b0024730f33bc303b725458b102063dd.png => c6f41a3b76cfb166665a74aa8c4a99461a058c8b79977c9a4bbfedf54411c9ee.png} (91%) diff --git a/201109_Make_records_figure.html b/201109_Make_records_figure.html index 341e1f8..c5a3cc1 100644 --- a/201109_Make_records_figure.html +++ b/201109_Make_records_figure.html @@ -972,7 +972,7 @@

Make plot highlighting record datasets over time -
(1797, 29)
+
(1798, 29)
 
@@ -1082,10 +1082,10 @@

Make plot highlighting record datasets over time -
@@ -1123,7 +1123,7 @@

Make plot highlighting record datasets over time -
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:364: PlotnineWarning: geom_point : Removed 399 rows containing missing values.
+
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:364: PlotnineWarning: geom_point : Removed 400 rows containing missing values.
 
---------------------------------------------------------------------------
@@ -1199,10 +1199,10 @@ 

Make plot highlighting record datasets over time 443 # Draw the geoms --> 444 self.layers.draw(self.layout, self.coordinates) -File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:459, in Layers.draw(self, layout, coord) - 457 for i, l in enumerate(self, start=1): - 458 l.zorder = i ---> 459 l.draw(layout, coord) +File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:453, in Layers.draw(self, layout, coord) + 451 for i, l in enumerate(self, start=1): + 452 l.zorder = i +--> 453 l.draw(layout, coord) File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:367, in layer.draw(self, layout, coord) 364 self.data = self.geom.handle_na(self.data) @@ -1229,10 +1229,10 @@

Make plot highlighting record datasets over time 330 gdata.reset_index(inplace=True, drop=True) --> 331 self.draw_group(gdata, panel_params, coord, ax, **params) -File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/geoms/geom_text.py:280, in geom_text.draw_group(data, panel_params, coord, ax, **params) - 277 if "mutation_scale" not in arrowprops: - 278 arrowprops["mutation_scale"] = data["size"].mean() ---> 280 adjust_text(texts, ax=ax, arrowprops=arrowprops, **_adjust) +File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/geoms/geom_text.py:271, in geom_text.draw_group(data, panel_params, coord, ax, **params) + 268 if "mutation_scale" not in arrowprops: + 269 arrowprops["mutation_scale"] = data["size"].mean() +--> 271 adjust_text(texts, ax=ax, arrowprops=arrowprops, **_adjust) File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/adjustText/__init__.py:635, in adjust_text(texts, x, y, objects, target_x, target_y, avoid_self, force_text, force_static, force_pull, force_explode, pull_threshold, expand, explode_radius, ensure_inside_axes, expand_axes, only_move, ax, min_arrow_len, time_lim, iter_lim, *args, **kwargs) 632 text.set_position(text_mid) @@ -1278,7 +1278,7 @@

Make plot highlighting record datasets over time
/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/IPython/lib/pretty.py:779: FutureWarning: Using repr(plot) to draw and show the plot figure is deprecated and will be removed in a future version. Use plot.show().
-/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:364: PlotnineWarning: geom_point : Removed 399 rows containing missing values.
+/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:364: PlotnineWarning: geom_point : Removed 400 rows containing missing values.
 

---------------------------------------------------------------------------
@@ -1385,10 +1385,10 @@ 

Make plot highlighting record datasets over time 443 # Draw the geoms --> 444 self.layers.draw(self.layout, self.coordinates) -File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:459, in Layers.draw(self, layout, coord) - 457 for i, l in enumerate(self, start=1): - 458 l.zorder = i ---> 459 l.draw(layout, coord) +File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:453, in Layers.draw(self, layout, coord) + 451 for i, l in enumerate(self, start=1): + 452 l.zorder = i +--> 453 l.draw(layout, coord) File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/layer.py:367, in layer.draw(self, layout, coord) 364 self.data = self.geom.handle_na(self.data) @@ -1415,10 +1415,10 @@

Make plot highlighting record datasets over time 330 gdata.reset_index(inplace=True, drop=True) --> 331 self.draw_group(gdata, panel_params, coord, ax, **params) -File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/geoms/geom_text.py:280, in geom_text.draw_group(data, panel_params, coord, ax, **params) - 277 if "mutation_scale" not in arrowprops: - 278 arrowprops["mutation_scale"] = data["size"].mean() ---> 280 adjust_text(texts, ax=ax, arrowprops=arrowprops, **_adjust) +File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/plotnine/geoms/geom_text.py:271, in geom_text.draw_group(data, panel_params, coord, ax, **params) + 268 if "mutation_scale" not in arrowprops: + 269 arrowprops["mutation_scale"] = data["size"].mean() +--> 271 adjust_text(texts, ax=ax, arrowprops=arrowprops, **_adjust) File /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/adjustText/__init__.py:635, in adjust_text(texts, x, y, objects, target_x, target_y, avoid_self, force_text, force_static, force_pull, force_explode, pull_threshold, expand, explode_radius, ensure_inside_axes, expand_axes, only_move, ax, min_arrow_len, time_lim, iter_lim, *args, **kwargs) 632 text.set_position(text_mid) diff --git a/_images/6090a282b0dc1c21e4d37e69f9464374b0024730f33bc303b725458b102063dd.png b/_images/c6f41a3b76cfb166665a74aa8c4a99461a058c8b79977c9a4bbfedf54411c9ee.png similarity index 91% rename from _images/6090a282b0dc1c21e4d37e69f9464374b0024730f33bc303b725458b102063dd.png rename to _images/c6f41a3b76cfb166665a74aa8c4a99461a058c8b79977c9a4bbfedf54411c9ee.png index 8104700acb3e7235b4d911e91432d4e934df5aff..4b8132b33c99730caec838d80ef22a74eae616c1 100644 GIT binary patch delta 32819 zcmZ_0bwHDC`#wGxAyR_U^++qy(xs22lu4HiK^P^Y>mFE03W(GQ6BR~C$6y#k1crii z4M9c^Bu4YQc;ELM&-?lQ?!Oq^yW_gf>%5NRIFFN>GM?%(p7KJ1_NZI^q?3Z&6DFa* z+tz(G>HJ~6TKAtkq5GTpIraW{>xEetyV)#$FZ6`?;2_#(H20is&AGf++xrzVPkyJ5 z5qO}CvBr>snlIe;+G{;m|l|16z^U5UTH<=6_Y>xO9 z1byZ(64XNWmyCV;_H9Rs^YO>|-N3P+0oMABe)|;r4{q%b#~(9kd#gBpTz zD_R)@nzsAx{mhfsY|L`bzw35B+!=UD?k;HYv9+~@5N00mnGM33!^_}t4niiPsKS*V-Qx{aRe{Dz*^7A@88`c@kpp}J z-sP>P;L0ueOFgd>%8H|YlI{r)|EHa;EWGF^%trRuyZ;rS{`E+!2(0uc1`>df0 zL$oCeDFn^mAb|T9x;vkgG~-qA>=FO7w$@lZK;Z^2W0t46A>X*%fc*W!AR)L+Movqs z(Je)1vu?VcoWI+Q6J}0L)+bx&Yt|?t2(TOX^>FF!ZjYojpW)LaAX7tLMCsZ%ds#J7 zgyg5}-dT5hu>97ccg)Y6FFmhKAJK%+L|t1HrgO;7%fp3$DGmeUX2*)#KEE^iSaIeC zWnoX#ZlpAUTXwjpu+SyCQsXgF{`|Rw1GJMSHrG6tXG;rp}P1682|$^2|;Y zojRv9og{7FVY`}eorp9{I7d6|kK&o(1KO=v7sI!0F(^sP{3e&Zt=0XQ++*%{#QrrVW~OM0m!=1Rr`mQnDh>7Lc8HpuUoHjDSMPFS=e_{|?XA1#_g zct3qJL$osZT-KH%QebrDN;LgNnw`7pQkKmHcKlkwO4&a}>f`=#80TpJ`6_0HQBPf5 z^mYoLlL#IUBY*X=)ZKPlZaIu5B=UVKzxC;BcQ?6B1e#8_)P4T`eSBrNE|iNb!v!a) zvg@p$kiz)WwrqF#)ltVI2If&So!N=PIytvKJyeX^S${ebGI)#eDEL2&1&{n_4DoB; znU{HESzu9Qkr%qwr8X4MAv-X;c8^`x1w`QO-`_GyKumZyZ_k`_YD4RzPeO9p#HRK(t6(~LWF{mpl*y_)J+;PsvLxqGN&zn1-HAkx?VbjVk> zOXlwVbpQ7B%wo-muXp|LXE$!%TW87;M)gw7NWkdbHWl?5E^CKYiA;x& zaU5d2imr5Ely0@g((mm~9KLC4!obtc$zhe;_=0f%Ru`ViW(UWgn3uT@N z9UM@>LM_O6?}KRTUwkhr`i_g6yZP^x@TRvQ6O=t88tLonYc^Hj#qd}0cInv1V8xtQ z%hLkmlxp?nW}epe-Wt@s7Cdn zxNV$DqD)Fe`hTfByUlve4Q1`O*(e>!B3|Ie&Z>R$pJgCf_jo zqW56skzOZ*^x3oDhC`>4Zw3C?@J`VaTWdepvAwV?T*7GTdDW1xbS0L^PItLPkTP2r?0FkAWt z1_lSu?0v)fK-$<0-1s(C*7WD{fnu8=YU9uEj#?XNe}l3$UtG3a>RUVcP#|9$Tr3^L zYQ(^RGZf|Vw8Bf1j6tb_L?qw1-ecMV71u|B{WFTFK9$%~W>@XCzT8NOK1h&nt~1OC z-k4tiYctn?&!Z?WnE$YqQN+PJ(S(?*<~K4dlc6R))>brgoSMKRuY1Nq&d2fU)vH!u zr+n|lJ)dB_`y3@DDk{{Q$fxXEQc^N{`tLgihX?!AuI_GU%<8M09~cc30Sh_Q|JjL~ zl=$?Jb>t-&ielxQr#Fy4>(k3&`zNDIJ?>lqpFX z@6Rt4bh}&@?TI<()D-Flz=-+yZp^z)^7OQ}viD$lF)AS7Y>t*%>M%cQSzo5GR`=`$ z3MuCb`hdS&VCCm@dpbMzB}Ad~mu$_<`Y}1<7h{6g^D2GoWVD+UqX*NXjY3P{weTt+ z?H|04sY&9G0BZ|kIAG|cH?%lfDL-#awWa7iDLfH*J(l*52$Pjvix*f~8~M__deM=3 zq!fHK{)CG}YdobEoWEVaGpriq&B3uf)D*Th1G|T=hcmK4f}=g#U|kruaa#y)YLsVN z6oO@9j4V7FJkg$Jhk)?t_Q1ZqJFyW&B#l^LC>uk5AczNEVIiv%ZDQ=qIJ!`j9lC{Hu;x`G`=j5 z&?F8j;PZ7B+437C+fer7Pt`ZmEwV0>aggGuDqE-)%TQ~?p_9&%>c+Uy+4E%yiZf?P zktC7vUFGYGBKrQL&)^GNE5FVnIwkO5@UO>rO>@#N#Vdv|I??B^kBe9#3m8|%jqJ9+ z@S=46xytbodW9VIuQs-RhDH{JQrfs(b2Ba-=4=X{ZTq<-6Rfl9sFNcf!;s z_RnBs{<3lNHT~<+UlWWa)t=d%T^iJL{udG@jck!3=52%5THau^?h>PpdkZTz3G&{- zIu5(IY5m6Ra`SS%Z0G17ewrX3ANP3@BR~^r_9@*(+Xb69$a3cKPgAnR@FUDKiwk!B z5D0^p(KH7pHlsM!)^F39eZ3)^b*J|{&3v6{jZ{B?)F#X`?sU_7HEi&(5?`6r>BHgg zyVaYunIvov(%b)irHR!Wq!Up&3@hK}dZhh>ya&^vLcEyCHU607(|pq!_i zsrCL|{bcF9>!hNm1yoDBWgWj;j_198>=X(2bET?Iu|2?4^ zfT`w1Xwo#o?N5~K^*knJ1+ic1*&kFhOb`+|+Nx5meAQm?Km~BYMNDItU8BNvrkf}t zAE_Hpf58bmM%E(d!zJyInQC|6KIco$e0G=7-}3XIlvcoM*sSaeo>&xmI6C%m?tfz^ z=-)pX%aC!0_Y2ke5s9az&mQWmAYH6U-lXCAP()`mU2!(Gv}i=w(*hMO^k5qHg^qqU z59wX(^mzJF^{3Vd=R1jKX#XIW?9`fc#(7bZaE;duR|4F1RtIQDI0Snk8WTjPH6730 z!`_HPPx#d9Z)-TxX{17T)hQbR2vH*{JzrV|6BA0=|Fu$+sVF%T;mlVVl_2=)!U%X^Wj#Nt|7LwuGRaFGeNH!_2otdvR_H~v^uof!SL%cT1KhB0xAv>@DKPr=z*=3p4!!W{K;%;;x(c(oqZLOwsv^^`S~AH?oh>G>hk+Na;h=G_B{ z;%Rz%`mw|8@5t9+B&%o<#eV7S4W;zlM_@!(GXx|NQLI_6ddM}WgWjO60X9K(e*pVU zgBQnfyI0%Ypg-nlK(@-u6la(yQDnf8D6MdI?UjtE%^{C*0>D4-O*7>V-o8v8o^O{b zXj0MBYl-OUb{PTaupHpjlo&YU=H-o{#fF7afk1$HQ*(23?NNv3YGda~7!>ienwnZs zX?Gylkn6!#G8))x-eN47j)R47%=aONK0vp3K2d4WBeeHuwZTEY0A(7Wq= zTEUCxx`Na^R36wdB&~1USQkEj=lk?Nb>grc;9E)?0J@R4qobqyR0bTB*FQ4LN2;o+ z)n0duG7?&AS|i$r0e(p{oezfWkyLv7ySoAA)YW&ZTfw~{%p9JUfy?^(ucq2NIu@?k z*-?z9Z?Kfhmv@70v6NTU8yZxeBO)h1K4>XC__gMh`+H_){E3+)<<6qbV|`acrR>qO zhUpb52Rdw93rAlOQuQ9JOzJuj3g;mw(Kr9Mm%B@+Hp1g-A|XK z8=~ai$r~RZAKl_V`LQK}vS2sV_{u0nn9RnjP>3=*Tm)2)xA_n{*fmOTpH5}HFGm@v zrF;_F4}EML4!~&8=(h}+ldMJuZXvh>W7B`|w(;F(#Ebe$(%EM7DGvX41_Uq4Hx|9S zgaJd5$gdKActCA|jRp-kV(t?77F!Mvv;nvZsu{ZVNC;pqwdmmkXb_Qdw^OmrA5X)$ z^7*7?N#8PnNVlkCAs&E+nic5o7cBuu>;@DAq)(aW&$m}Qb5s(JsLAA~M{xf??NX@2 zeJX0Xo*dA3(;D07zWwL-`oaLaOHwd^h+I65fgDBo;b*}FqN?EZX4y&)0DJPm?v6c) zk3XId9YA5pTFdH}O-;j=st0)0d>!sBsSdip-8-{djYOh8yXX3Fhc*2dJ&+F2LR&jW zWq{a7F;^YBe}wU{`v8k7F$(%$_||q-O^wF}5qmE@i~?fooZj9F+yir$L2cCkQi(%v zR3!iIR(zbXyF|LlGkM6F2*&x{`}d++TDi+(jp+pimchZnrbSYsJ!fxPS^XIcnfUQ^ zC!zHoV=vGU&b!mEk-LlP>eR1!2M4Q)86|(_?R{JEt)pWbfJ*+pnl}ggyWkoV)6x70 zFcjw;>dMEn0E_D_vMg}__IBg#`}Z&E>au=!WL~%8E+J<^>FJlEqjhy6HpQik7M!it z#w$ZtU5_&}UthKq=VakO9|y?13d&uy$BB!FM;SWU`??A=kwpHR0~nB5tVL7rj56MA z=jAF)s6ypb80w2xfBg8-8Xb*)5gQwev(r4vqH`+*+7y@(O@);>C-~S-_kTD5qy-p_ zIOm4EY9&x%Fe(T_A|iZqaeEF(85T5yAYG)OhDr z?ZF1Q06K_3=PVKR4)+v~xWP+sapvZ|KOOJ^dq12pS8tn8$f$d|qTXBqMWKp_Dx8i%8vjc z4KBD*s~fe`q~kZyw~r3 zJ5wYW0`!2x+S0+-rkU=}k*i+>_NGJ*xAgAptq%ErVztcI44O9qx)N?-0V->0t_+XZ zn99w}q+SB#^q{P%sVTz3g7_YUT;mbTc%s+r zo)k!9@n?KOXj$t-C_@(9dk$A1;@iz2M}??%8pZQNwS50gI_F{KJHu6 zFv81VMSY_@%ar4Su%=0zGq0}zW0T`<^nh0g|H>O`v>kS7KgKeq72i6(>v65Rtj}Fx z1-cLdAUtJ!_m7>T7}^KIQPaJ=wfI9%gc2hlmrGMW=lxESm|f`0GpGlU%4QzjC=Ks5 zZ7TvVI|-Lk{RdD06Vi!7UUlZIXf(EBc#9@2>`+?PCT{#`Og>RIBz+JDLB+G_q&$D((d#mzJ|T zrSj}X0Eyr*DO=g6Mz|P%mV|2how8e>>hu4!>dyO`!;h&q`R6_bK1HX&k{KXf1;RNc zLX%fw*k|4~&Q=4o<;hb8mbA;*AItQy39XFq34Vmrd4e`uq|uexh@khaP1M(P4{$Jc zK7=m#wP)g8{1hGiXU~(#A*afZZ#iZyAP89l$Ku~kz~|3C%R1J?v`BBJOo((%3>)QL zyRSHN(uJ?}?wPpkeiQr+L?=WgWVI8rObA)lOvzN2*cV&v9Fz$`7pU+=9oyCq-Zl3@ zGBY8I?^a8-wM1k_q00^o(YZ^=+D%fV@*?=pIjxKzGKS_CzTMTEM9nB7I@RdDkgfIG zb>4`@K=%>4uyf}LO`N*c&U7=J+E%%=6a8PSE809*Z>?^_e>z68LEpL58AEk2m<#&) zN?$bwa_>+yhVT=4s0v9vuoRA!R2$&cNmpZ;wD=LYDv47z&nCB2Y>+Y~)lzVK8g>q| z4>f`|oR!6nIcY`?#Cp1w1zz)D6mg^bhAu#!cfpxxd(nrP1AK@G+xVPoFF8Ok!)5pkG1pYe&NiONOy;JEdPQ-{l(2L~c9NRo39 z>nyH?N&R6VEb^pFh|8_e2H3kM9X*F?bvKW8C2pFsgo+&RI%SPXr|C5|hicOt!+` z!mCaWTEiA1D1OC#s++4OlddE+j@~i0Iz87CAb*WlTp-6)y!4#;c!49e=A#|dIBFMh zN`YldmV^kt+UIY4uA2~-2akM~d=XnMVvkIz=x3|w=RRSk%578|IL&d%GM4iCE=%VH zVKBT&L1L}j!#hvmEj9geUJoPnU%|h6&e8pkNFRh)F1 z{w2EN4#>cZ46=+fbgOeEd{cu&(hMFLD2*>Xc381PDCIb0VQvWc1r%Y^YF{=`gt5&Uxn zk;qyAhzK87>EhUfLYMNNb^^8j<=A*l&&yrVmYPy35IiCPH)kH5#^l1hxhrhxpDcGb z)zV7oC*pJ*E~=d5c2jSDcRBZ+`DJ3gF#a^Yf$mF80j$g(DbuU+5YQgK{^85y(MdY; zvu@bV&*R%Cw(eDL-gCFK&>xls$mG9b4&1I`k70H=F1UymDk{?8;Yck|C-2Y{oj5he z%B0rqPaI<%^})(|S4`&^jox&gA|x0ysFNGuC()N;n(@a;H)98|VY1n|d(#%A(zpss zdn8X0${)FuNvv;yK|X)2JCYs-COdYV#AlpWXtiNYm6SE*LHayKEi=3H#+lF1^yX@o zqU31ySkK3Ve5=LvnZrAO48=&RMr!mGe*T|!NcqhC)b5kM}4p8|5xb>Xt8 zD1e6ka1unh&~4Y)4=-hi)&k(JcXxeGS@|;LvpQ;W#Fh*U)(!l$g63Z>up8J70^O>H zp%fPWbGTZ?e{y}U*H2hCa_ePRLH5t{kz4+1py~$1{RPz%4Glo{?sofC9n_hnDBqo< zQam!>S8NGy7#McUPETL^1H|pp`O*3{1}J;SNe3_y0Jv8zZr}cG!TNu%gb@{y5~e?PiLDcp=Qk9 zzkffU)Y0C4YiniF&BH_Ox_cKAlwknSlM2}Tnkv@b{zKDRRQ7h?`ZTSdVU%p02-RZivQjlUHMPv=mmaBZE4O~Q-C@(D zJ{(IGGfeyo@K=*5laXuC)vK)lYTJN2*zGn1FI{el-e1R@m_s*FpFVwh#lgYMz<{2> z+YmVSHz2^3xPpYLSD@Trr^#rWeiV-yT`ppxX?6gp$z0HLxe7pylWblJSa5-%h!`XE zOY}Qg%)izj2t}~&kS~F*>0?}=8?`JaCzl+BgDwN8`3DpUm(m_%^j{%%f#Bb5Dw%Gi z|G2BG3m5b`j)SUlYJk5x@9DE=!M07ItG+;t{}l5L6cK%ZoIGJ6&S`>v|Ng8pU=D3f z)R+A8GFn=@zmJ3r`D~)C{;Kwz!iDSn043Z9vN~4w^rF2(WfZ$~FThAB=&~ zMTS$Cb&8W`_-X@we_LLg>1wQb|K2O%2H2Z>f!+{e(VefuqjDPq3ehE$=G|ot%6_5r zD!9Q9z=)|kk}U5~Qjm}F-Me?o=$W}kDL4@a%fSx-?+Z>ehERsOo@K>Vy_GP1R?-NH z=K@XCOV<`lJHentfcOd#c)8=?De%9P?VOw|ukw1C%i@f^!0_~4_mtX|3 zu^ki=qUjguFtpxuZXBn4CYEr}JHLtM409n5KsxL>wHd_#$<&hIeEgDME1#HGB?~w- z#PPOlORx|c0AiRNAZYE9tWm05sWsgiYMga>q$uT#MNnC~epHW_=(jWHmh|}>3DRm( z(Z4vtKhgpKo|%nkWq}{d#6Y0h(4aeiZdk`uFmmGYd9DNsOW+o5AlX5LW>~u!g3TLAAI#Dh9R8Kne$fqVn$^(UR)57%e-^lp7yi$7??pn9XHQhI+olpk6-K zz1U-jXQMmm8E3p3EE~jAFc1j7c^bL2ZYCuzN_+MK4+r#LZ^Ds!esx?6(P>Zj;L6qg zW7-AJpMq7{;j1n#>tpwgZeC8eY)+n74`xQh2I)cbNQ2Bk(|F?4tUSZPZEW9rvMBb_ z085)1GkNqGp5_8gxnLH{p4Lg3ZB24G4TW}LfJ5n6=&%M=0J$VKC){Es2R))mN!!_f zrRUFD4xUXN>or>XC9l&Uy(LiaQCp%O=aI00B-Xd$4>&%t`X66u?7S^5`bYWyxvOiM z)9KPO7{)KD)gF{|G;p{q>UF14|}Jr&&J5gX+ZFqS!7pOIw2RNTu=C^`iu@lD94 z6Xu1X5WFG&Ier9PR?O^W&Wz{N*T+WleRWy`wCaSU$_(El7?Eg#5<6}W4jX>VIJ_qyF}a!CSgajR_fxd zup5kRaY+krc`F290v^)roh4A&kqKuN4>lSZg_<4JY_pm>M|eo|Kh?DP+0n$AP=0vIPh?a$x5;BcvVbzcK$2u^u8Tnym@|3CLWiNeF0jWrfQN?xr9iAME~1 z>jvUA|9qtiMr&@YkxBvz3&Hc(QMLA}32r66is>FBdov1H9&#fnMtvu(eu901d3STE z@hWnwm)PAs0hEzD>2Z?+FzcU{kQ$=X2vl_2f`I2~ybl7!>82k5D2b6h6ZxLB4lF}7 zcVioa7HXn^Qbv0RRj3l?>v5N|(Y4#BSo^;-Y!ZR!9j-%IEXj zt1r2`!O6+gX#e{wX~06VZ+U1f)zb{l^gaOc&E>ed4`IMKGCr^nTScFw5t3#s-u%_& za?deB#DxFTxGFHN*MLt&@*6v#?V>%;u}-+0+a1pUOo%V2;X}-hcD@JnwQrFFz7&d$-J`L*AoDuq}4dQ3VI)1aOUh;;3acSd=3iA>x)CcaP-5U zv1hr&p*{_`+0OF<`3VC4soc|I9G;$6^^CwnRxCFxq~+y}vDiL7-=Z)2T>cj}(dq(^ z=b}!3uJD$moGy}Amspx*2x;&=041mn1jD#-lFY#QNw7YLAyTQY9fhtKv zFtCUaC5TCiIJ9+~jld+Xg}JWsOxVpEH>Nv56`umWC^C1X;{iU(<)c;M*l-oOv@}d1N4|V)zfad3;1} zqKNh9To8rwS6Cu%VP%m&Ug^L3bXHor5F92^RnJgTU}`5|EwnXWf344D$XJhO8H>Nq zIgM5Qq!A+NZ!Xk0U<<-{dm?(*hgQAYP9Vwzk$Rrlxz=u^kaCdh-9zZP2**R$?|23tTds zBJx&hS;)nRbd9nv(Uoc+;hxB6RDO2;6lK58aI-?-;*YkP3s5Zcb|wv5C?AmXoG}j_ zCQgSghWr_CxsKQcHT_wQA6}3;IRLF3ql^whF4|3F8U^YIcJ`y9?T_QC;QhmZsOICv zua#*o#zdf%ORCT6mbGfsp7BTB|Bi~G#&{^_UhTL`41zPjx$xddpD^Yk@h-eZCUfFn zZ>6#jSlP>$YUOD>UOz7w4%d&{`T9lkK?hpje0qpOCWDshYyh6Wr+A0#(VC!OFf zXkqoXGy1xT-zC;NVyh36fB5MtoREgQ+ahIhG2V>7Fs3Ik%k^0R z3Lyzl&R3mm?nqQ@45#S%KGuF6_Q1frn>M0oaE!eUHrTCEn@}BWQVD2!Px5_(m%AEd zRoY}m0_-N8%=DNKw(E2JXT7^bEF*@_`=Y<&pAh^$z7gAW;nz95exlB!U>mfst_P8x zjZEf3XFe>h70CMb5`mAt*Q3P&n8 z0_$j~keU@|obW$|JfLmGD@qo)-2ASHzd;hG>_=3)YSOg9GHKyCIwqcH2GSa~n%=O+ z7{!b!7bF8f>WAT&ue_*M)yq9qePY(tMbTS|;_|xXfWXXxI{dxG|DPAs6Hl z#_adcQ4H!4O*&d1>xhe)fE#I%H;)xq3#Fk-PqumygtL%X^BVul<};XG`V~ziB-wpB zD~@!6Ji6LH%qY;?QeE>+LyaT!TMzU9N3rLqd4sW7CE0e?Vh76t|Gtj{6>6a0I{&ej_8fYp|7-j{^O zn4+18^Yca>BZcqjo3X(B?#&@78dvlVyr z<41_~So_KOvh52_ovLtj@Ky9OW`r~J{!W>gGh^r%4UbP;yjm>eQRCRY&=i`6N4d<% z5|#&dDP3EWG=^Lv41*m042wzBLrcA@f;9c(5XT&8xmW(4h0+NObja54%y+FII^rk z4(Du=>;shH42?FB_B^rsZ*4h`1|n5OKTpH#zm}fBG{)h>Ma5j z6eIS@x!e3^q*FRI`Z*|`#7Bz?iFjUz*oqEr$|G~L-ht;87YlxURHsLv^=_+Y5^Vb7 zROf6o>Z`ZJesC)azyu2>9qhQsqjLC6Jl~!}B-<6(9^2O0b0oinWcr8taUCxnL$&?G zRHoy8>@Z-@dg)8%vv{^J#b0 zs}922Icf|9)0dxIaVDW+W8bCXoAJ$rEL0O!t*u@pXfV?y z0KA)KY@TU>zG)FN^4(6Wj4xpL*dYH`h~Ay1?6WOv)3cL^&&zWd0WWOc*w>2kek)k_ zBfWQ<6N?xbQE3H=H8Mn^^?h%VJ8jQ6v%_P-)<^+%M9tMNa-|D{a1j!hH(dOc{ zkIFTZv_Jo^@&0~PZQ}5>1-0KJSBrPc{^qBT-J)l@^QOt<5Sg=QT^9!{;9k-0VZfZw z=n%Eh*Mi%g$<-4CEW==96R17Yplw1<$`be+>VVobR$wOCU8><51mQ($fq}FI2izRp zHz-;&SqP{mbg`n%myuYvP}+E)a`)F~gR9FOsYb%}D*gz-d47N&!^U-}qiY58QP6gW zbAKb~tnfP{FW<60`!Xdz1W2;cR{`hoHwEC$2Uuh@K@UOb4iKbvo7@Yo>J|tA=W2J7 zh~7btSc-OlN!LfceYmzRR3Ooj~^B#B_ zIK!eYbPx%27>y`EO9Z~?)N)a`ZcvJ&OC-&*6wYRwaa;R|99eAMT`wx#z&x4BG!_qU z3)2M(X-FSJQZ)OTgTrV9a0BfFUCoNRIJDLVhCcqGeV--SVo=!-@-71=AZK8#DN}xC zE(YquxEpqM{O@2oYHHL69AbvvgTedy0pr%{Da*2NYx3-qn!a;osBK4p)FH z$ayuadK?IEW$kW%`pteT0j1mg^5x4!hG@X_KL9t$W(5#Qb)NtW5?8ezMF+ogHvmwa zU0rZKG^OtIiytV=1MO}BEnw;vF=mp`9L^HFK(~yvbf|`&9>k>Zrh0!YXrX^;DJ?C{ zxY$+zF_R*w5n#(0Rd6Q*=vOL!K!H!40?jjrne(d)J+C{K0o0FIUf%%(aa@}?;UiX+ zyX)U0w3^=fkC$CKU~gselWn;R4Y29H0b-k;&jgSk!+^s^gM@~M{(3Cc?^O!`@G5W( z2Y}82#akcm8zX#b$ATk)y9PM43l66X@Aa2n4V`~iqz;-KG*GkMg-P_+z0k4f3@OLu;qePN%)J>7}Pi$I=Abh?M zCC1vwUhO?FXxKMj9t`s@ zU>{HHa|iAUUWC%qs|%ni@CBHu;=&!H{%xY^{CXGAv|E6-Zx8}0<9Q&e^@Uq-dt)^W z<4^?9*t-BL7f5vU$P1bss`QviPqR4^-aS1%Uk#>;8KtFHZsw$X`SJyj1HJybdkm~E z>}#b_4pmT6m^r_a+cC$6!1gPKV5)lT#5o^t?*Fc2?Kut@&xE^d9vZ0PH*9RSj(=yj zxpC!6xwR=-44f%6ZbRZANxOJK%;cjve(`TZ@Qa!5fBjxO|hFa&|vSgObW%LqRqWtO#a;SzP~3y<^S z_K_d(R^piv(0CF;*KenylxnA=g~sov3-6~u>sML6yPIs0}?!IoR6QtyS&9R%wQx_0rB8?M6xY4mPGjYycSb}nHMqHpc@Lhds z2iX~kD*#5S4}o*nK$nVYBj_P30-^xw7Gj6;m2B}bc0esA|LO=32mZvBIyMrD&vz&w zSU|~OPAO!0ROT!sBU4)@M%Y*$+YK2S8Zyn%YB2+Tt$C)V%b$^7lN6Pc6d66vzq4`y z3;Yv~YH5^IR#M^yUaN6q_J`QcwQn3CEm5E?&^~a3!5dFMSzpx#)(^re2h)3W~<{V3F^d4ct3P4)I@Fk z+^M+KCbf(Z&;E_cJvPd7dR-H_L{SEXra(br{mU3evHQ`i-tJgOBklb7le4AU#G)baTI{ zdK1n2u2$nniZFGNzQPdciuLg~StuWSL{}!js`0}v!ZMvRBhjDe!>Y~7VqDQk3oHmV z%~UzE1IKqULbM}m+N@+a!mXj(6IoJC)gp&OGy~VD zYfEymE!R0xtBx_luQ=&5Aqvs@?EUmD77zE38h8m~bfe5Wak6aW{mruX1LyXzifo*eGmWT-r5U)o|pQrfyGS zN%eph*-6Ysf_kNp=i;rl4m`Gh_{@>mQ)N1Gl7a(5*gM#mMhNf4iknVJU6)|YdqfQ= zgvLJzDc4^L2(zR^{dzyc-vy#sTZVQVz;JM@^-p@qc4UdCYI#w0&D(7yq(=YnO=7(f zI$cz?Uh0y;7x)xGiyRHtzG2xJjc>#U@tRo)6IU%ry47n;!{IHh)cJySO|G7{-i65hTvc}DXaGQWWUVqOJiJvrGp)5Wf5LQEif~!;9wK2|o2Yj;J@& zxI?zkb9)=%2(z-CUrCDliHeAiHRc++tV7><*DMj83;%LeweTb68wwqjI_-9${^9E- z)wmd-L8&2^Zk^TTNoC@*1zF^z@Qv=avI$`PkhB zxV0U!g;5nw^yq3C<0Rc8X^}WdYWQTlFKClFM;@KPpnPzfB=KvYBKH%XwTS5`LmUof zAqYv`poM_xU%D4tYe+XD#ySrLIp!#rsV?dimOei2)%fzI*(}GS>R`?CGybRbEUz)P zB72tbg#O`n+0>*V``lF@F4|Iw~ z;OG{}(yUU_vp!!{=_Yy)FhA}OLo`S%P;pqA;EC_0)+I=mU1>K2PDRgb=c1M`$5LN_ zMDya$j{RliB+#q~kM!v2C>h-}@<5WbQ&33_{-lv<>fhWbQ+^`L9qYqYps4?9|No($ zRY_&iTGBu&1VM(qOp@r#5|fp5u95%MC;}8laaJH;SRL5SR0*AbNjJ-hN_!1TcP@Dq zy2otv;`K@Vh|W^HXza%ayG>LPRfWZU{19Fe&rZmq9*g&^k+KQenDK|~LMcG*7~w2= zrN$NtG!uC1{7f-A=ve&MMvjt)nq`I~1mOae`(Mbl0K28XKP_!GG00naj~WeG=u`mU z8XU!?e9&Pgezjv6-@t*;g15oc+~xAtk0)dtavc~8xM9sXOCrZ_-T(3xf)T}}KbCq5 zuW+=Ao9cY@=|JzIbFtOgdxBvCKbXHCGA(kwq-e)>ccfgpqRo7c1{kg`jeQ}j2o( zDMh=j65K5w$~IOaI{NTIffRRDpfG0&%2#mZgu<)-Qbdd`zzJXrI3MC9y7T~5D%DD- zDRlxPhTY6SExVIwxLza}zX5Ga|48-V!!RpE*;giH3B@EZ9nUi2EcqP9wO36dI z0H{)a93`ikPnI*cdKELH4^Nal+ziC3%JU&C=q%`i85-_4jx)~7UZ9T4s}Z~{uEe!4 zUcCD4TI_DrnR3VQ|^1E zlT8!R?pUn%J3#}bE{$5Tm9woA7tVe{t6@-$Hb{XSv#YNz0s#{ZKPJg;$JPYfYs7K8 zXpwi|el!b3gE)@XY2zsj>f|RAZD2zE`@b~Of7KtoLMe}o5(TWgo2h8Wg~7ZJj#2v$ zcI8h?yQXwSP>xw)5_)HZN%@A!wf769wKDkd@H4|rm&z}Pz6_%XRPT6>PF-KCP$GyQ zi@*14kav(VRM#D}A$$HVsUFt|;ZVqaI599TSy!mntJ#*=jhshM&JzdVE{!ejF%&d_m*lUF6vbI1t-Cw8+oe1Ybyh zsacAnHdIDnX!1})bPwvaPMY0U6bT)*(~`B&^SlBEn2H{V853Q{CQ3<&3Rzj1O8s?2BmZ&q7*8=-y-i%G zIZVu5GUfFxenESi~uzL)z>!QbNH)b)BO7BnLw=UKF8FeA#Wh{shb9&K?tG6>tB zt#f<5w(=V8lAy)l{S37R5M z4!E9&l7A!vicu)va+I$Wd6eyz@Li`hz01{#krV2twhHrWgw=r(?UuNzB-=L)hvpI~ z(m=4hP*yw}%ubReJEY7Q6Ep_C02c{)^yUO~xX%Zu_tT7wAg|<#*PliNc!d>%&zGCd zTua?NcTV>Z4W7T)=XettGg7tv!HatejTIy0FJO>=#N9u0Mz1Haq&bi8c;u%$q1xFn7R!><@D(R!J3 z?HU* zBsSvMY#%UkkT}Sr084L}|K0ygkVmYBr+e^!82F^prSbyXom^ z@sE(?`oD~5Sp4Aph?~;Tiz5IShyJ%4uo$=juN5^%?Iznah2BNvxZ^C6tvve zpC9$f{ZlVWtWO8MI|{(tVGZinRNuGGz#IS4FzKx4x9zOa(a~ODw5$|;ST+Hip;Mp( zjweZ|OzhA2bsHOX(APF|bhY*QK4gs|^k(wmk^_)>2DoIbSZK`vyPgRKevLl!WZ)6B zY>eFgqi(Lr&Zp#d^nUZp%yeb)mF`^)(LmB95Ab*-W*>FCn7nhc?*}fCU!Wl=nvazy zgyu49-n9NM;r^e!E3pX5Fj$DbgnX>lWKpmBmB4+??s)F5KWdE8nmbk zDv7eSh>Edf--l|nSc(jxF(_lF#E|Xxp3Zls zmje4#ycc_*rxt@h*@1ElH)HqWB<#%)gnOw=;_YxuI)Q_ zo`MZ&J^lpn7a;}1Tlx9V=E6%A?Uh(&Dvcm8==>R8Y5?6l+a-e&DFDuV1fHmr#ld}{ zgCw&x^y9;Qr1KLeh|?;!b52$Ud0if`_2cjj5Mtf8Jk_LC7E z;(|Z)8RbQU#*8yc)o++R4k0a#NBwHuo4wkX|5TELS3tkd1Nj>n2SoIO-#>}ZD|t(8 z?iG9L=Z$SJ?=a&qqL2fXeX1f!KJVnzCs9G}{h`n|<9IEWiiEP^06hWB>mTYP=h_hD zOPtczSx}jrH8|j+=-y9IhkYm?d>w9(S&}Y7l~r`q1s7%>8oDq6@mdwuz#uHxfp8LH zu1M-Z`{B5_xS4Tasxqtj9%54qpU_g0lQVcDK&@aVXVINeDhm9kFN;II|I;KtW^aF6X#M`@ zf12c_f4}_wL;%p?Kl#VMvcuUX9+2^hQpfhXr-wd$`qW@-X|qbezQc##CEMd13tX#g zRc=?BBrP3!_y?>Luc|yKwAu6YwXq1(pop0xgngU zAJ8jIb%DD8`1Ao7s1kHi$}IF8Tu3`%axYPN5B{p`JlMdhE&|k>=7i7HbMOlhbevw} zo9)*40soU@MRG$TFf(xc%O4-jI@N@bot?id(_%j=(A2kcC9$B6JIJ^J)IqC_diXk|1u?PLmMiq>I;_5Lw)Ua8A$MmqZc2_b+zZd@-ZiGi6qCz*HfV12aR9;vy`XD^ zX%(j3pD>feUn^Z=N4(H72<&CJ1-hMw(f7*>`QXz zaeduG%rE<(lWIu}mTKJAXpd%A3XODZ18gZ8=dF96nf~F!F%xK_Sw^`D+#DJIsS)I4 zv16o|4xSN)FQty^LcCwL5Pwi1HpTn(MP_p9YVOfbRsq?=)yd2yxi`8bPb=PYPM@yp z!`mkp(bxETloo9jH)SFFobgXCX-Yqzvi9_Q-GilmgWoD)!<9+#Y2brk%!FaJbo~(D z)Bg`I?hA^RE_1U&D9WIEKuU2Cm|uX9X;MPZ-#)v%VS~9SVnko;H*e4-nxr2|nMNbG zn|<=acV>Cck3OsBy1eVIrT?JdM`L6kQdBJe=c>tU7&C?53pWc-ccyryg((*qc~8dC zd++rcUjSzT9t}|71#e=-qPARkOG^~Fs2a8Z- z8nO@Jhzz?{0nnV#dZ3vc>5a>TfLf^EsE#?0_9sxisog84-$TZVMN|-lp9zIYbB7`2 zVOxIM^#ulYcRD)+{(H;)^XH+jWXuf0nC3fNXRx(*=35;}J)`RIZ!|7}XPQq5G%@l| z+**@U%6~CPE*AYlo}1@)i;^)1qLKt|8d`Aei6$je*;FDmyZW~b(3*_p@3hpqC`wdk z)M`{jjC6Yg*EB+Dj#21WwZq(O2)61UA&hwOyA)~+pyB~n%NC4T{e@83qm<3xH(UKG1xDYc41!9#Fqw&8ZQb=TlP#`Qxb|9imy z*Vi_&pyhe`O636({|TwIq)+}vQ2ey=L~Az@O-oLd-1xpNX2VGw@GlU*-P&*$p)Bdj z&rn?460|Ys9%jS^MoL|oW@ZnP*_YzuGUG8{_8zZvGs~t_Cwqo4Gy*%Xjvj4wF_uXk zO*c;TOlAe5vVP>A|J6ibrEhY&Pf(5#z~AG7UYnbuHL0GAeO;JN*aN4w`1Y4wX|}Tw z<1&~_vLC+@{SQA}2rt7Mpb>~jmf;+2! zGt(}nE3-!T8&&v(Pr_=UR3RK0 zPIpNo`8WQ0U>?41yJ?X`WwcePFt@}I5FQn0&Z%@v|9fJSEj`EZ=&~bYMs_gK4}}ah zh7TXcmkRcLL6_vR*F1vd27I$+rMlW43Cy^xXgSlHh#BY=57|m{!V`kZU z7g2^nJ@EFsZ@53xBq?4m3*FlI;sTc;OCLFn)Tfk9NU-|*r~>rf8FR^z_5{YdukVOj~L)@KR3-7VzXRS064aFk!S&@_eY4y{=E2JW_Oy^q8|l>Pq4R zt`erjm?F$kqb4ODn@Rrd4P~bQph4yR+=w)NvG?H;K#zP3H78+{81T895? zRe~D1HZ5PDW@SKg^&^k@lP{=G5?!wx=zO;9Nyh58L^@TD#f~pa`uIayOG|B#$JOTt z=d;i_C5Q&a4c4zubDc)Wb6e2Pgn5Mcl}N_Sk%5#$`;f8qCk7Jf;WiPc$k^J1OFq|DMGR<@(k4DP$(XCO zRGD~8L%ujM8#AJcYZ1h?{G46F?CKEz!!n%)mKQ&Tp=vPYVv^lF)HJ;1aFjjoU1~@# zwh-=qPA9;(tC~(w<{}6P{^f)8FlN~Vw{3CJf0Y0UH>5uo+#s8xBacQ_to=1|>oSg3 z0h1^mm^Q^+Y}&|81PWEx_JoQj#m$dW*Xv?@lbP24k5yy`Srhyk$jWLn2f00 z=u0S>rmU}fllDXrqJemeMxyeZJ@|x>ZHF#?mftaDxVyZqhj+S~EFJml^(?{fpxsqzJqTx!TatRGO@#&s>Mj}&@yZIF)5>|B^ z--~yR*F3AwG3HMgBMB&_3C1jw&_TB_Bi)SUTzLX%+#U(EnaD~PdM=w?Ut7;hOUJ#&pSHubm{1+|`gqFC3N;eWS$O&Yc+XfKo;YJ7wWy$>9`5@4+ETyd$O4iyE7v$T z7!Y#;#O@O@f}W>mS7ht@Ec3)isn{yo@28_F)P$g>Wq)jAbkcDGu3H?%_75Sz>d}$4;5?v|ytgd(A703|QQ3>;ml&b-}$g^BHxk?iL z22r_|J;OZ{yFDX}r)`eWPBzvIQqq1Jx~T*+f{2OBnE_?OWSwo;zNRGVOf;!gKoAk= z``0ChOPZ7Gy3?Mt)Q~6(e$BvYvC1am%&W*WNvT9-IB`_4*QTZ1tTt=VO*@Gm;^lp! zsaCVQoq1i|@&-zx)1p2I+?;Y)+F6vwUTZC~)}KWOY0N4#e%k;|p$0*A*rwFGUh+&` z=GoxHtDH0LA;FZ}9Auj07G0zAx@?1&{aPj}i7?N70#V47sCPhotug+3p>x!l2@@$< zym~iv_^Fgq2}R(f3|bQ9=Jb(q8Z#8f=JM z$%yVLnLq+6$$Iz08)|ZZPU|&Zh*@!|5#c)xGvffjb(eG`Nr%Tyc{Zf}fL+NxAY(9G z{PrO^y#v5_{_Cq0EUV9{KTz8(lqbP<^5~0>UR*oK8_tTmPG$*D9(%IBgL!AR+oO9& zzer!*h85|zAbK!Lj`Q1?69%0%)MxcwKntE&k3o=zF z%RN5ngh+v#Kh~Rix9ZW!$=#wR ztf?>Hae~aod!#JyTE$m=FqKSsdWJ1gRGSbyekWo1)kdL)-01zJORX zM@taR*&0nv6JSL7FtKgLCI#$xk2@A$;R#wv(QF6zJaV_f2783%W z&=SNq#fn2+8K`w5mQie<(5zvR7k8^Dw`S|HKni@X2T05d4^Qs#l1CI8vVJ~L&npM! zMYyu0k;)92Z=0>sc*)D^w?VPO3Q#nO-5!Ebk^E|67q&(eJmvIH8o!b2qd%%JKc9~W z%2<(>pZY^b=k}HBho0D=ZXD{n{hzq;f6&Iz&;{K1HhuDwh4NI=q0LIrWxlcRGVdPt zD^b&kj*kPr5K~n=eyoyUICS0Sxi{#-`#}2ooD6yvoSf0I1P|F z=o%hx_>iJClVPPseEK#QP{8Y8)?3+i-|8N>5aigyAltpoiH=`PteuDa>C~qe$MY`Q zq-uK|+jZZ6HfBAiKNb@7eo!5AoVXs@)uO^*&OC_+o?Kz3u5fPsTek;k6{FYO4}pDb z9asV(`Ydw9xf5q<=WKv#T}G}fR5U~~0aNbZ37+uUW+md}*8?Khzn!6zXaw;R z+Ea|<11Wkk3;^!t`WXZ+qA3mY)B?V9DY@X>D_1dh_i=lVU7_C4`wL zD1(Gi5IQ9Cw%HWp@tzZ4yX|z$cluG&mSLRx;Lr;jSg*3dRyBWJ>|$7O@Q-vbY#k5& zoyaM|t)DF0cCi8?vc-Z097ox=QPVY?29fjGhY8YMK=);mWI_4&)%wD2*mCF3J3D^? zSKmDE+VP`D&)LDZ^(IjY&K&Es{yHK%5#C0z!|UlbkS$!= zBAIv!pOldi83Nzd-KKM3{0h6Y>wY@OczaXfttyuSr(Au)q%fcp!g3|pJJz+H96n4+ zdl~*?$ezl*mvymep#`M+j_@YFz-JPcj<=>G{r+uxD!>l+DZW$%?!O z^66`!lM8Ou>(&nJH{=yjIOOiGL_=%V&h9U$8j%w*S!5)$0E~iqkf#rW`Ldk|pTfiR+pPoW-Qgr{fU>{JHP3*fZV3J|7xGJ}3_Nv_ zu62iD7!FcL1>$6}L6&aXxA*JO|`Vns=F)_&e+?FpE@<)jd6q&w+ximqP)U#QdI+x zwmKX?F0EI~5y1?6_+YuN@(DQUA<%n+I^tzx4*=W0!R%-IB61?XM1*5b2TdW>n2k zZPTWK@Y&*@xPERQbzgjIC(#zBJD+FQVBob@1TExv#lUzD{n`SJZ3l3IS*ax!JbQL% zDY8z)4T_pNKb^|epwM|c)1j-Dy|sZAdLE1YaYPQFa^<&HYCE;S>JhPY?nHqrnB}%W zXwRX*p?1*I{G6ofJGz?Z0&#UYd<9t{;As!Qi7M?*1$-G`-p2pZH>#`0!dR>m<~M`T zS;`40I`hZ-sR*WR9}vDs$ru%jN~SS+`uv9HH#@v5*P|k8-zgcfXtBVm* z{5JhrQPHe)jOfe%9nFxS(kgE`n-yh&{FkD!?^BR^FXzIU`o}G(OPqpd2Q=A3McPH` z=~vj3LS%}*z>@&NJHT#PNheL4&VP1L=T-+zxzXF2*8s6Tf{vNFORfYwuaw@+L8$>>JCM2~&@kR*6ONdt_7&Xjc8 znnu2l=2Hp}Okb`Bt7%{KPLOW?#IwKnWR*>Wa;vU803d7!1XxGcr>fwYCOfWuZm)X4 zh?r}&j9OI!uG})gUXFow}fxRLFA{A&-?PHs?T?Fr7%Rj+{}LqoirGN9=jVYldmN2>HA z{_c{ju7<0EIz$mCJv_k5ne9Vr&m6N!g6mhnNoVH^mY)}4<`?-OD~oi*p*aKoi)c6m z>Wk{pGs8R4wQ#^KL$m#Cz)^2XKg`R@5l3wnQ{KZdx4o9#uwH!Y&_KS!?Pa% zO(X&3PQdXx_=!WudH2iw{7D7B{PQmM_WPi&Y|NZkvNSi~4kzC>OCJ%q8bI?2PC!|0fx~}<-k~`UAO2Mcjc_`2TH?oVVrVUs zUrJavs4q`jS#Oqb3+pgRtyJgcj2e3{!>4OS@*)X*peL?;ItQ!n+X*}GTLm5o5?>*m zhT=}#KNd#LRMJHm*Ah&v+sjiF$6ou24j4d&qC%muoaDW}1(kQ!?H~IfVgy+i?QwBt zqITBAoTNl0X8nBJeryTaekca=1maaK`)XP5B+s$Jj~PENWutSqvIkFkN@>3*nyUKM z6iwj))kHFuS@@|55?{oIZw|xZvCIDxSmSEP*MBJw)nz&02X;cqP7-C_t@=D<1?s`b z!mABRka3r177G`L(HsB9ie-IjbIcFSMgif@M0%;MM%0osPA-6D=-&*P&83Bm}EQw1uv-+K> zt>XI!xI;_n7g??bo|+$3_t$Lmyiyh#D%s%=YvWAncFco*UrPM3U*Px_G&DUpFyn#` zBa17?5duwPX1XICCNp^yyeO+04#Nhov0>YSPLkCIPU0=}gIoMPjkF(cUCky1-7hP5 zD_nr8tYWy{!K5R9c~QD}R`h_K=SjH!>69)uhW&2e2!N`xDX zj2HUQ1VuZ+2%htNYk}lZ{WGDhZF67R9X%&-95%-%)ArJ}tJh&=o2YKv=4td;5qZ(y1pdX@U5Zda(3zx_xX6Vu~bhiGxe}1>GZW>ATnIi%gTkqpFCfMrmRGMj!6P@J$?k4#NXzd zALzFZ&i#L{1K*|x1cmn{KeWTXw@v4|VRT_;9pP_TB*v0MMf1D3>16PAAVeMj)|G#j+&27dlgACy*A}dxt20y;=k9frQv1fa*%Q3 zw%8JWL7N0o60aG0hR-u8sP>4bN6h}^=B6oA`d1^>0=|vekz{Je zG%f9qY4);YIzlKn7rk1?u0vSbQQh30HQe!h9K%<~ZvJ#r7AK+}zA~}nqv(`iZ6Nu^ z#eJ2W`~Ol0xJ8dzM;3CkBqB0bBxhk1u{!G=_#DRX6@+P5RzI$-DmR_b4I`Q}W3}Vj zYNuCv#z|N56tc{yh2){a!^C+=b6AH$<3Up0Z(z^$wfe`0I+FLU|gGg0G)iBF0>kCRUvedv> zSD_<&abbGkHBq_7)Zx!*`2^H}SpCVUb!9NoZird$`=S`mzu1PYFyD})p+dR)AEEV| zT6VDGgby}(}SXJgyrlAWN5f0zxUSdci2bhvET%!>)t44aKN@ISK$lNap~yL~z2JPDOUvSZ_|%MJr=+o{bUdD9F^kIv6f%0%@xW$A;n5J&|f zrt;_2)pJ{mpwQzycZy!_ga_Hi6rz8ho!Id{OX@p%Z&hoWbIF-AM{9Fv6?nP}3~D!4 zs_$Ri&m0uW-3<4qa&E|UkM^}_s{G&*d0pSZMx}%IzYeH>F{Jt0!}xh6V(>#7TnS#V zWpUS#9uh0-3-VsUhO|@)83VKFqqr7Y*|ILp{|wpr6#1|muAEZ5>VzX3(01G5`naj0 zgN3h}R!vu5S835wKhaW+<1quWxD)a?7}3ng;nY6glvi4aw5l9ia~XD*2(A?-kufQ9 zIM5Wg2q(USe_fuI`fBJKgKGFSy5yCIRvzdT;@I`Ci47;j4}2c(w6Z}NHTx4>!*_7_ zt;?JwKd~cd->4DQ?SA_+>*|e_#m;iG2Sc36pBj97QPy;mOIjW6Qft7rRT5g z;eDO?I$tC!*3@26c+%QVEM2IAf|%yfFQ&VvG;im$qHmK(8kqcKOVvdg+*mnMn zoO)2UumL}Hk6IWN7d^qR_BZ+z7!XZ{toC%Dz_b?-pc?heUot#a2_9XZ?nU{7+d6ZW{C?A#S*P^IRQxM!uGPC=< zTRL3!t$Jn9Z!cU+8%$}MW+j;WVx-?#a48p!j8A(UR9J9jE(X=Et5&9lYBXM*sX^n) ze=@TAQkNY**q~&TFT^aPPqqvv+0#;YFtZQpPKhW8^xtOy>u8oOY#51Sa(A07U_ri zj*{Lcu)3g{&v1R*((gK!o+jj~xDh%B)>M9G%SG>cl!$<1XyTR~3SU294R{TuMlEOS zMvpV=jzt==4vJe@*&%jttHJ58P#PCCC6F)`h-wbq)L2|s7aDPr!W!IRE;CSI z&pD!v1cag{{({0d`hzh`6XE`7TDmrGH7-lJ(6MQFKtRLN(Ig{B{;z;v<@Sy0Sq9ra?~y$w^M_E<*`mU=P+b!KAG%C0Q zQSX1FJ7zXylB596L>98)S+Viqpn@3*{8UA222`C6Z5Nv-@KQ5@7=S_iu6yy zIKEIavzl;8lsCA5Yta(WB%v4n_|yF+<#}rnRxleHt|PrAHlPgkT_Ynm2PLxCqAQ25 z;oL#M{^VH`T8B5Bdy#?}$zm+$xL4L)2w#R0jc-3KIMG&;5dYX`yjgau z;WP0cB)s;EVZ%KKCl7-@_*&k%iqf4o+#}X}Uq~lp5U?LCpI3_G!5FUl6C zukk|sZ>@dX0cv+I1=J3sXVQ(^T;!K^LY!*D^tE{m(;hyn>Gg+E{fza_94M-BYZhwJ zum)U}!aXJQ0{L`;7I!W*6}k!jP`3Olb1L2VlgqNF!@0n%^xij|t4U7t#V%~vj>c^x zA#Nm(HT|IQ)}fBsfjpfIkCWb%4AGXeW4p7hm-rV`J!9&xp<~{;_`T<%an~5LL|)SC zj}meTn)`y3vW1*76S#s|t{yS(yc0I178Ug#WA(RE-RQk9auOsh!W)!8X~gfpKPaJC zXc0O+&#(m8dcLPZZ_1jAaDW&@V~X&#~m4Ebi_% z5njYEPHgf;zc?G-*Rvt?e*bIo}juQI19h9LsLrc&uXc_r)6=)YO}aSrT64M z%!3s;i@$bRc0hu8X!9pWQUlmQ{r7CAWm=Wq5Pk{IVI%RGDHv=4t)yq5!|&@Kus%^1 zQ6X~tiu}6|+x;~l#_b9a;U>krwQ_SW@lggUuQyCh<6LBmi*asfep%=?4$5d1^RD83 zewlRZ{j;uB za-*(jm_L(xeBAsB4|bvBUiDpyKhx*koU6%LmcX^tP(|X;tR1cX6Pf4_ znm=Snzi@c{q5a;^Io7JigHyYn^M0F~`(|TLdG%m>Pv#*zgyNe+@Mx_vqlGLnRS<6w zCSLE{VYOw)>j9-vTRYTJbXjQdDn%|}yJy_>V*8uzdGRFPP%g&J410N2y74W~r;Cru zLfyvFi3*1B%rN>DS+C-?_bom>hHX`^qWGd}<s&vr)!{O$VF7V<`p4QM>Lu!CA zcPzc^49D z^^nDo2g`Y5j-{8me$57d*?`^<&fLzl2Dk6c9s%ls>@|{2s&&!+A5aW7#0N~V0`tD7 z_iYF#|Bl12o6Uax*`Z7BzUujg<>oNS*t1gg1{;=e^Wzo~mMbZyU8bzvn#^~HnoL!s zmSbwBWif#pJUy6I=tyN~?ids)&;Cu;hhy{3r9?!E4Jq7-Nvwl-gD7UqTDhF#?JT#-$}!*zbtVcWnCfueOH2#zja2L zmW*6MAO>IoQ%<*eA#N&G8GB8AbDz-S_Srt&oHPvF#Q|kFUnk;7s`-cwODPMzBpF+m z_?gpEHP^mCE3;OxG~#EuYB3c(trRy2FjXFIzrT}dazC7Bbb>Z%8pr`8vLQKxR870_ z{fOJRKx8a)F82Cc+s6@0oTsz>%j+E)XJuk4quVfDw+`|JResHTZik9o7+$EnbT<-& zUAqs;eIE>%ywP9BPNq%_7RJ8uXN(3%yAMveoe&o>fRi4t|z7 zOCE#lY_osg-Qmt#J8&(TwA5iTrdbXbs!cPi-q=L+uqo>378P&)4Jm3?eA_WFO>n0Z z+|mgwZk?#-Ae4Z+*oF*(#WfO7+#Ohe$V9I`CmtU=8>L7oD}WlEJO>t*G2_qRa?Kh% zKUBH%;G`nGxA*GMK(m6@cOM6Q0Cu(ky_&BUZha;{?l7k_X+-^2+mg+9dlN;pQv*v|R@DB(BAUXDclgSiop1i<+Pps<*KC`DwM`kX_7i<7u90bq%NA z^gm*|%OsgK;tUB@&a0F=eSC`#mj!V~D>0R`04@n?lNQUj36a*WrB8bx6A|nyd2fz9 zxMDtfAX+twFWN`IBx!o%WVuHf9499XWt#?~OQKJ0-M>x1qv8z-~t4c^Y2~hg9ht^jI&YYbJ`XOTu|XhWYFI-~@75UdKk!9gZSBY3_C-mJQdM zXb?4x+DuJ^Wh<8TQ%5&63Cp5MMzjaK)q~6DE0VGT?z)n0ZBrP&*zMXd-gwhNf27#F zG3C7H;1y9xoGw-*-0;BI>x}%-B%x+Y!L};1@F5lmA;l_E==0Ax_ z5Uc<9U|8^NeW-?3m4#YRB_deMdm7DX+?28ghaXkfvpZ5{KmVyNahBHqyoQV#(K?zd zVd@V>i?*5;4y}p=rL!+lx@sK+;^MMU)kru84dgRebq#t76Jksg6;}j2DHZO*V*~18 zp)Z;*$ky`+Zv>=h1Fi+djGkqk!?mpQ3-%F_4JckoDI-&dCu0Ou-iFLmIvmjS2AHBFe=J<~S-nO$E>}R!XhzR!Z->ehmRs%&?ELLi+BF!B6 zt6JDTnUFUA-=>zbbguPv;ms=Iqv8Maqi5XkBi~sqssH^^DGGjM?NpI>3xS}Ia1<|P dRGuNalzaFy2f?JH=?HioHn%Y=*zXzh{{Wa!1TtWZW)A(Tz_Y7jC@$d)7Gn4RqLLQ7Uj897EJ8df;=I4VchA>-H_ zlw%+J*nZFR{(P?Q_xfJf=a1j(cI(!`886TAc-+?$s)W0;gu65s1N{;1U?Ii$M;p(b zR2SQHQ>XEx=+h8AcaHHf*Ht28!=vb)=87J9rGAPg!_se*qtz-lWnMPwh8z1Z>$87S zDkR50M^2WcIl3=vD{hQU%(sW;WE5Izg>I%dws6^LZhdExt+%b}!fFufiQpgNckY!( z*_ldkoL&HF@J5q(U8j)RR3;Cgt-qnI0zt_7@ZI&UuV22b*9I=D2X&^)cQW z<7f!>V%%%}Pg~HbQ>ViBW;1=WLw2T~2`PqcFFAB{bkK`(Jb(Xo|6!NXAald+Y~~Ax z+K2PAr%#_gOpt%0rl!_1UKf;8(@e)#e}v)lHGaNv$2eQFhUj#>H~4`|>Q1S5NXRY) z%s3!2@~F@sn!#w1#t_|F!v$tJLdDi?U0sJ2R((u~^4z$CTaz=l2ED7smGNNw#v-st zHM_JoZ&*ykQXTG#LSpgc?kk&Uc_L=^3%8A>>a7ne5_-Xnflp2v)wp3vGNV>stg7=&-I z-H$6U&UjTgu%eB>@4Wr`g2nZ`Inp^iLoURSPSbxNK1qXj%smj+SY_`I^_V0|GV$2jiXVc%+@DBxpXY}=IZp+_gM*q5Ck>B~H{Fo+2wo`CN(QgL4 zZ@ZXrdg-~=u!~+X7JFP&9P3k>gc09=JK*_e{2NCx%zit>>c=wPA?9)=u zfr~hYAP42ia73!K9cI+GsSE7hAMQC3n5E(JU9ix2>eY69Mi;Eiy7<34k&2Tpmjai&Y(pXV#+?i%-JXkkU9`m~f zDUaO$Ahb6UIO?soJp|(u*Z^yO=6$@3%b#D#3H)lW8YA}0{HCrRfx2OF^JeqWKC%15 z3+*`hS@Gouh)1*o->*6 znQasS8e%X8P}a7A`c6+HLdy58!AgoOOrX?{fC*APZxb`urOG6@J!`uGw0`1(I@&vn0F5DLC z&`F3$6tA2)I-)FH1dH2hAZ3sp9dS7(7hlUWcY39mA_?rE8|@iWZxsV!v~zbmyU?Gf zO5UJ7W2Pgb^k`Zaps%41_IaBNCnKl9=WE~kBpX7PsdGx zIh!v61HOoS(0)OGJa{JYxM+BA>~s(11JIhDwdNW$dfn!4{dQ0j)(=dlgL`@44-b8nDt2-yU{vS{y+wB8g4M zN4amc;Z~RFe|2}~`0p=QiC?Wt1j|Q#>az9^HoA}VZq&JLZGlbM^**7z&s4(%3MMv?WG-Pu3EeqO z-s5lD`BGM9EW)1bpEpWH@`$Hx7gtxSO6uq|)ds$6jD5&Yp6FgRa!=U>(zOq>tGp-;~RutdqSqBSc@Oe z*qRi?#S6+lA~-*P1x=@dDs=P%)uw4NFYR0jMIDuyF{tJ*L-$N6+)su-=jHS{I+M

P=gk#3oy;fU&2sXRu#tX!@k4 zmdAro!QaFC6A#}7Y==;QSH5vdkS9=CQ!q7Gk$wW4R)e@I4M!HwKYydG$dttpBAE&rC^r^uvc=Y6aJKei?r{p^x9BPIej zVkrIcmBFKjD|xVA9?LX&0VWv==NGu~LXTU_Il)7BvEgN$+A?+6U_=ywHOeJM@Nx858m+6fj{kwH`0C;koQd9{z-O%u3 zRNrEGbD~=j(@CLxwmSDZtCG}@wO(}}YG@^nXFu3o zMw_kS$|lw34g50mtgvua$Hz;K;jDfMh!s}&GJS@rfv&pt>0BcVFVoWXZ41yKcAIdf zVh#Xoy}Y(6gxrYMuu~HNo#4M;9y9eMA@)=HumpJ;y}wQLk+e%xNLqUbPTz##G-ss^ zZI*|licpt_%%_5v{JD>FDH`BK-b#|m;Z=dE!Nm9k`IgI9vK$tlR<-iNlHj5Rx4Ca% zJwIIPo(MsJ+uv~%9fHz$sX zZDovW81bu1rSF@64-)I;7i$q5%=V@EdagoyZm zMBmFWE9k1DRlVS{)Q20{%`m>Mt4>d_hwv|XOiXESN683x)zhhr?dc&693#YcqU&Y&?g$r3-dbl)q9{n`^`%6?tt|@RRozd$MxA z15)Gjr=2PFgRk@~XD<28_kPsap8GxX%T-}l9eqfeob2Y=NGCNehAtKb9aGZtul52M zsRhj>syJrl-HD?wvsg9uqcJeTg96L05q71zwZZ6+WQ ztTo_5ktRW}B-2GN(1;NW`^JF2W!eEu#-cK|TJEYa%$FNPoX|>>b;5GldC6Ba1`dPE z($Z4LL*?OI&(S1wtTkR6km+b{-s6089Z(~#{!K{BfBNU|6mhfs+}yKujceawVJpM# zIStKrz743Z?@yRiF3QMElz#c*iNIHZ1^{`@c4k;BUvf(6g+;2)vNwL70FFhB} zt~NC>oxvpXsd|rG0{^MVt+=}q><5uZ>2s{uMxSWZ8w965fPGMY1^QgR#DTlE{zQ9>?a6lr22wia>`X9L|5dU zBmk=Bl<4%1ynV1D3MCtar#8RNV@x15q7WyOnQw@t z?1^yy_k9fT-Ic0|P)RTpTp#pb%r+e#%2EW4`O_EVM5+VmBlJS&D7e8J03dqDuw|4` zrOx^<5&nqH-%9`{X#!9WM};jGRSf|m%>(F?qFd+A-TgwFavt!=78-@~X@y=YckiBE zENOE48Ou(AeAsI^7DjA1*sf~&8z)(O=WAEoY00_CCLOfdh=YI2X)*>RgTpa^4S%zq zlKU5f8APoF!2qZW0WghBB`!!x&b+a9ynC>-mRLFJ{D>u84Iw5JzDk+tU1{@YO{V4# zhfKpJbPKC<94=FhkNLGs;TXAlZ+kq*NqN|nQ~O}`2Wqwk0Z_oJ8? zD!?G^G_=6B{ru%ioNwdq)7gF}W?qHIkk5GSM|sIRrOuS+&!10rDK9VQRq{NANf%4B z1Y0X;GGZ{V62-zJ7X=`e8>#P~DDdjSJKti~*PXSR zkVt-j1?L97a;vG?9+y2OWdk&4e*5<82as^G^D4giAt)A46giWVzCd|-k7=2>bd$Q< z+g_GVA9d(?3}*X`5(bOZB=!XfWbUxJdb@MnO;8fZ4@xwyHwR)$A*K_N0IP+<*b zQ00h42`7`k6q_4+POeY#-V0-f3K^ow_k+J>uqY4V0dsN}90xe`1-GnYxB@yq(p^H+SZzNZQJ?O+{1&aaTq?nj0zx59PR>y8?7?t_d~lNJ9L36 z3V`l_lFt?eM@lLxK~vy{NPKe6m+vhr+d;k!TP50HA}6W)eS%hM2uTe`dy7KkH{aPM zWL+SD7 z%@2Y*fJX~kw-0JY0={1}supB~hz*pAHdQ1F~M_ zUCLkIC!K?Yds8b05#keJZr#}tw}CXqd)X@PWf@qOhxY(&^R0a7BP_h!Os+&gDf%02 z;+^y6%~tc=?+<2X?xuYOW)SBbuTo=fE`ErTnlAiz{~93TnL4+vtORlW+wTT`JY^Zx zl9lxhP~3lhZ*97TtOy7SZ-wE_9)gKVfB+?KnxyjhXk^=+b=%VNo~5<5`+1J%?U)Z5 zC4W28*lfPJv|IsABr}+ZC@(AH3RoW5+6A9v+|}0h`x|F+g-xk*vm03bLAr@5m~c>2 z(yu9Iq!_?Jb<>s1tP!*Qlc%;_RdDc!x+CXWj}Vm z$f2&=#KRrih*?S|#uF!!)+coCz$eeqaHoq$4NvT|qqY+%8o$;xm^PM2O`#2lhlRE? zU1xVRgQZvLiBLp9bvKnS#o>3E$ot$Y5S1!JFrzAJyU`C)afa|p#KZS~qrv#DT2h^9 zokjFu1F3J(ONb(znVFIme9)UO5n0ODqK>IUDF{>$X~MeyIWMEvVndESeDo&z5Un_| zPkn~3z!b`)$f1;sE~+OTe?<{>@yh6z)87;@!4wcNqL7T`Ur^IipGRk)U5OEvMTc}l zjMY@ZlVMO`b;IXYf-wFn-i3ImH&rQx=fdZO_S(~qF&?yqHHl#lIoUnDm$$~ABUV(< z0f~<-DZ^~wP9D*(0d6@>u&0zeJ@kopJfReaHMO{*O8COqXr_y*LT$IWC8SZ0G5>_J zFBc~D6{5b0kvwGxV_N9E*r^g*cu=o2DXA=gBdcgs=R>wp~ge%cOQ z(T)7_J0lZJ+y8t0p=ZQP;I&|#F0jrHO!~6~dD)ZpG&`bK)^=U-E4ItoBGo+M467*l z*$`Og2eb-A^Q6%_|4e6?({=M9rqw9<*$7zY42FkZ^M?6lr1Dg-KGoOg$tN}1E(sw| za%1-davNQq8=@D{+31I`PJK+eexm#fUYIsjDkp#1_jHde24h7`I6NW4B_YErAtVDI z%yv#9E{9|7sEc-+IxY$xMNE`0c^0AVo{+)2Z5ISteotdOkxx>=)WZ{M26+%^^7+4~ zX^DqWlsjWw?J=jeyP!NKT+ci_(&qITOr2^+Uv)MDEez{4nnG-aI14tzP#0DMitIB( z!y|>Iw3}Y+#dlNIQo2)@JWb&QqerJk*gLtbCC;}~hmgVj5eMKt8db@|!=`C0cURv6 zDom?}d!Y%7cs7Qyj7o)CzBa`eVQk zo{7(oo%(pNSzi%rkn)+r;s2ckU0u=II!3FtBaP-0Gkg@!P8Nze&}vdG%{LqebhS@W zOzhu?x%#AoAr11;_lho(i}WvQ^^oqb5NdPYvlYv1VX3un|eHACFWj4E68o7_)#C1Yk9C|A!l`wxp~ zHYNuXC+Q;T4&LP6afvVOPGn44Y(X;yj7SMf6hhMc`x1Cn$hkH4halB~U^=Upz8`Xy zqK-O9uS@G9F`_pNqH~VsV_YFvq2HmEr-srf7sH6YpZk=z*9@nw;s@FL##yUXTnb}j zFOADz9*q44yFc~)GJEp&ciXz}wqc@j{5vdoSm4d^U;`<$*4Qkj@K;G!icmtf@E4Uh zRuqnl!&sRM(kDIq!+uRRhWOE+x&5*rAaN!ETFtv7Pj6E+mEmN3qQiCbILW;Be-5$k zNPOw9z2Q}HpV3<}E(;qAjGu!(-XtDU(|qmF^CUFn446ZAJ7ej#)$qBYfhzsQZ*v)r zlb>RWPakt75_YLpuf9HdzYa~vib;HGI(t1cD9RyI)$x_H-Wq&?(J+L$p44R_}5Ru5?FG87{q(Jcqz-wT<(rrQKFsdkfUDKrH_FJ z@C*Y`P({GDr}pu~n$Rf64;6A4klZISqh~}g6K9HZ-!d{O@=w}B_oVy9&J*m-@XpQ- zG1KT5QPxE$%lR|cbamC0;off$D{?W2jsoh4#mDt*2hFzoj`8B+!UCx$di4I+fQULo zvOI)et+R;g>qW-L{$fKS4x>{T<2Ii@&2(2MtkA4f;J8q>52Qs_zLfaS=!sGz5s+5Y zbM(2(I?m@;6`B`u2e?j?NTA2){~Qu8LK*d{Rim~MgfXY6CS{I2Wj_b?*5Vm?{DU(Y z&V{K4DXAahQI-8_B;HbwpJE%)yj=o=YH1WlbjbFR$&^L}HVa-9QC~9ywhZB|E6S+Hj0PR2P^v9;{;1y9I zpB0uV?7go7rrGbUXTngC7if%j)M=Dji%TPCR3S_PuSyb+{Pa|6x3MRmyvyTEt+4H? ziTwaRMu)z-AYy^S+K77K(h#?MclLNh*IT6mDy@a3V!&8K`~kAGez-gm@W?o#L{KA8 zO3@t~4(vhC0*p(dd^rwKy7SV9+9_#iq^m&k%##N+(kn+u?ZKa?U22Y?$CLTuAOHc& z=4QVP@ZSJ#Jn{xsiJ4MJZWK1F!UA;pi1@g;z)!`+GQZl}FD?(46T+T6dGgj-SNF`N zz@*E}eS07UNt@Ki%hV;^3f z2)kiq1gx8PWn~;NX5dhsf=->P7}~EffZq`1$VVYw=G>yJHJ~rx_0s*9($6@@CM6>! zHCB$=0BbJU)R%wtq@So<(HjJL4gUTYLV`bB(ajT>AFU#0fjRkBVhxt9&9~64g)GJ7 zl-P$plfXezYja&+mG}mf1C5=K0lrpHS>;SNlC0iRCHL6eGCY;!Kze6h>N!umozq+hCvO3?OX-Ft8h}!R4Fm*(C24dVF-)y)y81aC$bu!qW21 z7I42cXBvd~&ub?eXx0Pn=Qx^hE?^~30F3c`gWuHmum;k#GYobURlbumdz z$jeT-G{GUjJx`yg9lipLuXK%|71^k)sFdi$D5;qD%Nh+N+0Dhlk}owg#$bkwVhGNn z;EfA(h5cPETKj5Jw(m8^&~{U^oX(-%bOiRa9&oH5G>5EXt;X5fjbE*)I00X#!dK$3B5z95 zNr|iC7JKfhjw2TcV?6K8URJP|Qa9_K5$^rwU~F;V)=Sy|W844-#DUPu}Z!}_SCeWkky{*U0blDHFhaw0CH62%sEh25ni>RLUit&{8q_4DUa{YvCewZV8wo*E&tr{rdtI({?(Fimy?>5G@KKPc>~OiOxN`>O&<+r` z#<~!6c1>*xY|Ru+Nl~JS+XLoRZ9jLh^_R+1u$brEp?V3>d02*loub^2HL#ctIDW;k zH^K8c*x5fzV&hZ5F8m*t!J~Q-B1#~t9w~gse*r#@)T`*P+zq)+-x8a+_>1Qo9|gqcF2Ux(CqwI| z8(YU0EdB$mwYAXB9TkOFPhu<1$HOqP?cnx>FZ`(pq!NB*)8?vxWi9}$<+`bLnZC5P zSX{R5`bcNS`txo;$?Z#p!@-m=S^`KtU1VOFPHh>KXp~Ppp46*{+;XB8h zP=K(&D0n7!XSP<|>sZOmp!wdv4h=E}VLksH3qkdyME&Omb#IKtw)Fo)4a^#Os|3H( z7_KI1U3_piQ~oLVte(0cUr=CsOrt8Fak=YC?|N&2L42pol@TC>{)X8myDFbefRi8~aapzdc!O9|{-;k8MG;(F zT)j=uF&!)}KHjF<@9rP%x`*@MfjjUvWB3I?O`nU4#WXZBL3*HY>yDD^T+h2d1VVu{ zw@0SuggbZ*$UX7E=0;GGpw|m08(f-*eyIA@s>o$!tR@ljZ{d{dmw~RWU4QpY8ym=m zoLT`9ma5BE!qT$I26OSjd>>Bt=&3h$*=kU-Cs%&@^l9#Vu1;xnX{lc~4yzA(fqH{K z`WiYJU15d&hjsu24!UyDztK=-u|u80{hqS`YB2!}p+vJv&foP7wby>Gcme`dJfN2+ zQDNhFAl6kk$gSKH0=ThmV`1Q{+1A91Pv!8NgT)R+J`g{EUDQp(y~@h!ilU^R0|>u) z{clHANpbOtcY@6T(B9d=Vi^zq>%wGL^Wbj_T6=z}{L`oV_kd<92=M&ppyvpfu`m9- zFz$LVkx1d=Yw8G`548~sRg&Szy0y!$Fx_WEi>ytV3Y(> zbAAO-347JSqgpO*?#WvY4h=V{@4f+ev#AY>jcfuS$m40H--_;AGw2__Bb>Zb2d3_h9 zr1DBjOKl=5-XO&P{{8Dj*+fz4DZ1Ha`PIrH$3XOp-PxkRA8J8#ewJEwgEr-ET{TV+ z2vt$3w%YPV7{Zb-F*#L@9MEupL7H^S9Tf!6Xs^QI?CuW~m=bgFT9f9l-&dL+;-o2ZcypECQazzj^3yKDiTq|B#7TR z9YD6@IroR&e*NT1FHMccFh?8GXhd|%kMBZ0KBGk~l z=y`N4Do{EQJI)A{1L&Vpyg~EBz4asuM5WPcX-o;CpTyJQMbf6%s$?nL^WQ-^wV~Hz)#!&< zd2j|}zJ;i+3)(8^4}}ilf`gj)S8m(qOips;G%o8Xplgd1Fq^c3l!1&YUBcD5(CI7Z_LQd@jS}SRf{8j_iJBkp zJ<&5UqYnExG%lpdHZ-VKRgMbuh!+zV?u~w|_hDb1piGrSjiDN#k^D36QPlM_?x&6) zwum0d;C02%VO<5?fFAX(zdUV>)=kjLWW5sw32M7XGVxpM}~0#T)6MASPQZ2oZ;!Kml`aq|3(2IB4KQsX40tAko^|b0oFFm zS`jhKHS{4P!kB&=g_F7Orqg?A@D>Dcgb&&RTN6-(f}c6@5bJHUYFjJxQotvhD1)q{ zu5JUxaO|;0*{agKSIl5umSvQ^3y;S}V-0W+p- z{*nue_CP-< zAA9+tEf$tWlJF77)P%7s-rvx@YH8H`XFjyCVr$OfMrtzJKYvssu+oZAKUc5YqiCW} zdVpOP)Gkp6nhy}21%GgF8nseFXs-YA3* z$Etb{D!Rw>tfWg-d=yC}NvBnE`bUdo8@yL|k$7Pw(gbv7EoLPuE$QJJ2Vp_@RhqVEN zMHvwIm*ap%Xcnmf;I9E$jsn+zLg9JyN2ccC+Dt>ZuqNEXE>l~* zJ4601KUaaOnrQ>q>2fs{7Jj7-vKnL8%=xWyilSAr5O!6~15Qj)^-#Ju9hJa)z$U8B zubyOa(r;v4eTBe2m6QuSgRQwq^L0&-Ws^aLd%%{r(Lo!iURu#<_k*u~^1=%e#)5Do zRhbG&sO<>CSTT)W-4Bb$owQgHiJwWg9!F-PDuppSf;$oiZI2UOFil=Xhx*qQlJkdz z<~T%-{1z@;4#F;9gH|J|&n;5QsuGk@xYSmjsvijKmT<7i7rSsrJE~x`no5W5{*`!9 zG4ep@um{Y_{U40^?+3}s-8?CB7~@MAP1l4Bw}cDwnAg0pd_I_u0*3iZ!MGiU$2Wl& z?!NOL3oic?`A2)65BG z#Ft$)vFTvDGcXWY3U^Jgxu5V^4kM+2(R5E3{&<1(F54eRo5TPedV_=wkW}L9NqrWZ zobx*dbq{!0NT~x=D~G3emZir!4#?tcLr_u zDON`r92)5DhmrOQXMGNzEGUhnK8?$o!5p7=5#pnu$M9Dvs&esgoRfKmk1!$^C);Q% zvSsyuFEV6LPI48%U&-a!IkCerN9Vv&-@n-fkPPh~|VdWJ;mg=C+NdiJLw9MUK?D358i z&r77Ap^f&emRmnDx5mdBEUGJAU-HM+FcqTU z3aKW>xDf@y*fX@OuyO`lcvkak+XRGMi5|dQtV<^(8@U&0XAxnh8G>-242h*G`J(aU!mlAQB z{TwBAVlVv~yyVofxDGbLMJ@Ai!##K1KYxqkg;^-}#SqgN!U zqM}mu{(a1H)nsHav|}UswI8jKonsa8To4s4sll1?d2i zJ3uECDqD+#-2i!&D1tPNII)J1Z3ZXt{@oY`A@H3}kRC2ppNhKGeiNz*~dRb(($YM;eD96q;joGAV)J2F#A%*+Hhk#{F!`ClS%l;hJwO-E;Umk! z0#nCpq1(_>jUl*@r!xj6B_&4{1Rxb}2M`Di0k{pQKZA2A2BJrAjm3Piw`IT`59L)< zY)at?0fExTAQ3Ob3xIV5P?iU7?r%&`7Yd0#1C(Yd%UDb&p--$Bki*CfV=(azLBB%E)AZih0 zof+1Kj52zN$D}NDd#T0@{LZ2l zY5?XM>?!>nGbF>|H3<(xv4g7@gavLZWb_Nw{9lP7MXsF&s^A0o-wlL)l4rXAE3vXB zay`L$>iZKZo3h8?cRDDINOK6B0&CU{oJSyhYZbKnIu6bqbacozb%IkaKYl*v6iGyl z2ac}&))!jqhK^FG+3f4CPl50hK2{_NA4ScI2S0I;OtW^1cq0%rCchpLKMiujgfGz7 z;%N}vnEsPuc64_ioGTaxss7=+&jf;(QG>!;mIz~3txa<=vuu8iw1+}DMlv;zL5TU% zHsWfp@89+}ojF1g{dp$rH{U`o@)5GI}o}OO6%*hTcHs89$@e~&qU_Rq19<^%&+9AHN8JPT&rJRt{3>p`Pj!9-v%u)=YL z9+v_^%Ih7thYYhDF63{Lm!XS(;u$?t>I+K0(WzU4U6%OFw!vK*oRza(`_uyTV1d4@m|svFoW zM-g}L-fadWUQ0gRu^kBA1Ujb4*mO&L6%hNEHhyxNjrljza*sJy<&ZPxADlq+N*b6W zbk$#m{!m-1PVWq+{YO+HP)=&~O|^Ibz&)qQx%sXr4R9OrX3?A< z64t=!m}7wa7VKZl=71SltJ4t0TDl#Voex(p={a0&IxdBk8!l(phYjR{TJnI`9`k*k(UOD^w@>m)uwkfu9O3yz5X$aQd z-o8S)ekN|Q_hUyQILOA9H)0J=FmMD5W2+&MiK_Vk=zqpR_6R5^j7}+nTN5SR-wZ85 zDo60LtrG$$6Qbqn8#O6OAol{Iq6P(*preBtw6pUB5VoFH1Zsn3*jocmWtc>pMR$=; zZ2c>z9!ri{#2UaA{turV2wM5cv+-Y)(ss0t5@MsGzogI~Og!vAb-29L0Ey^10y`Kd zP!hfWjdt}W%>UgD;vriL6Y9ZmTiCJHPi@Z^5mbI!Jw30UkV1%%M64VpfqsG}Ka|+2 z&rhJl52E=d_OoEK>Dx1$B>7jJ53nXwE6-1cCZe`U89;PVXCsV(1PlAsCK}~(Trs4? zcmt-sPmYG`MD+;VRphQnL_rJG6crrSdQJUT!#`;kc0nT!#$cvM;EfU1vT9 zZ}*frzfVk+fTKU+E*}O=Hbv~){j)EaqT)rKLQDz8AxY{44m3?ncUuVB9)B0UoZxqC zi1udRkHp#5K?(h%0t9=mQs}%Kvjn|%8BV!2FJNdTB4#iVgLE!x_-ga~#&uOfC0#ZR zUH*^*Ba+^JyeBLTQOq;P3mfVvL=jqUTza}4I1U0b%;eC7nJt_R>q?%ASCLtVV}|lBm} z6o$H2Zf|qlO&Dgb7WhPkJ%6Vwg0*xc48%;tpYAW#9s7shFpp~dEH5@1=5+dl_g8)) z4>jCKSQero`s?T8-9Y;0$R0~2S``DUCj3?9Izc1uChrXCPl>L;v zmcR#ZxPXucIHmy4LX?~=d=RynDK7GKv3)2)e8yUdXJd5HKQLd4^rq}Xl8lypoWYO%o+}Q|BnLxB4`YTP#;^)_#r$V!*kbKw8 zcXqY?3Q&QLons@&(wzelsiAOv>V2ZY{l#m&H&)u?vPH_Q8SekZ+$N7qW4 zJ5C`pnUQykq`h}LZL?8Z-Fk(2d!RiZ_JiYCQ~Cu$9KA2!Yicx;S}!Oa1F?UrTpgE(G%iPQp6(B@bI<4z0f#M^ zoh|U;k;pt&AT`)UCl;YBY(-Sq*#QS+yifaoZ5%Mz1! zO&Gu@sqU}^g8&)`IgXD|V$$uMg;%X(-jo(Rt9u(74&gX3KBtdDFK3PKQxSM!*_5Vh z6S8qZ+~**qUN=Bu&cA+w8{3RrlO5Et6F0FgrNGUE-rk zG;~b_lS<7;cD;^)Ay$kEr1b;gAkSR3muK%B?rS;U(ef^5Ofs^@2eG%pExr#!<8Syj4t3JW|%$fV)JgH)W^<;HDC z#k66u2CYCYvfKD7Md&P;NR~hY)t65lZiQ3I*11vnuj|W zoA;OAOdox7d6{ZaJlYU#iAi^eYN2_;L;}$@U)Q0q=<+C&C?JCnPoC=YGAmtJNSr#V zSe@Vo2a?X;G4$13O_HD0h#Bazrd~XGDmh5}4od(OSyXAFrLDuxl`~1RG;#UM(_Fa- z7_5_ZV!wvvXI!ko{+3?nPPbyRu0S2-;`M~(6Z|apIW-S^C8ey6tan6~U!s%^OV>jR z*ttZGDOI24GSpS>qUmW;q_&u=r0G{EeJXHn>xe(npdK8Hm%1l3ZZK%e>YTW;CRKV0 ztri4vldaZmJHnVNd>L{{7`5`EPKaZNm_IZ1G*NgZL^dX{XBvvLHw6BnA&i~JjVNUp ze!+ubWezmIm7+FY1|tzO(ezR80s;l7I|H!-9z_u) zA2&GWC6I^)2C*KsY&^e5qAU`jLPdf;pLEbwF!>J!{%$ZaM**|MU~gcK){JvLkByIl z-_L!ic5QdeH6i4Y^T*Y!s4PY+I|qh?XU<9$;)@j_%{&MyzZ0uQXLZK5WO|$_Ye|t$ z66LG%`fFeZlnOry6t z&LD;gIaRIrNK!Sv!hn9=A>2&M~hEx3=2qJN;-6Msrm$x!5DmYRab zAr@@ScZQjPz>9uYJN-vvraa=Bs8tnQg!&l7uE3dCj@C~2znl!4!u{Du2w3T*L zH8ceNK=Jgscl6Es%i_3^FSz!bqJ2n&29+%50ZX0&e{dIB`L6udc1rKeU*stBP>%C@ z?rAgv-K613S&8tWSfwkCj2q`;H%@{sO{l3{K>oa@D=P9IViw*{Ns+ogtJheT!sv%S zW{+PORqA)DJ{FD<-X5waB{{d$sCutZt$0oc8!^U}S!6JdrM>U6qxt$+C4 z3(RteV9@S9_^lRHf!h8yn{>XHRlt-Srf^`b2OUiG$L_(|aF$G(+b2&|<*!SZmY@QY z5I%aH=i)59Mw5a|H0oM-d(_fQ%+vRcVxG%!QM|B)7qrfcv$Xe}I%ZwHSPFlvEpz{x zoWZvhCGNmPw=N2zOM+pFF4KZHSb-`=Nc zKJmss>+K5J;mGqY#Q`Ol;nM9t>y&=xOsDCvU4G#g)4qX-fwx1nJ`xd@cULNTd$y40 zo4cD-eCQpxWFaaA)SA&~Sw^egBkom6=Lq=n@%L4N%R>j#h0{f0KaJ%d)FXU?oat7n zRyFXhco*llh?N$G2iTdH^zqIoebS>mch8h;>*4%0;&0ty@>gCxKIW?9>|?qS)DC ztrQyWGNv=fNg_4+?431FjW;A32-)ck|o&p=haGyFA@0)zeB7E90F_|5zmge{Q3Z&a@a zXZn7-t%KA@JUB$ByVL#nUuiTJ9&1FVv6!9GKM>^Khb9mp61Xq`OyguSRrR>hR|x*T zLS&t*g3YTHq^@pnS6Dar6BREg#VE%Ymm24RkQwO=vYjN?d-p#7`jiS}II6K*mX-lw zAQ}1seB3%P)l;9;c_Xx~f2sv3fN&=`*1!9}(sIBtaSNWX>j@%fAG_3qK;j_G69`FG zKUcQ^Ef29*fHDpWKhFeQp9lj&DILgj#DKT!1#Wt`Jm%6w=_8;aE>;2--y8-0HpYHE zu(y>})UE?{atRzWo4z!!4h}1N193C6PWEJdBS=&1kAMs&a?~6t?{)-?d9i{}ZyTVT z8a0CRl7BBbj?rEQ+Fw7$@dF_6wUlho@137~A3%JOXeO3I(BsvJ184k%=uJ32c03nzbiTp4s22$aQ1`^NB)JgQA_ z|7q6~&!Dm!q2t>?_;k7`Dbno}xDF25XLogVne4l&OoV~sJx6zJY(fkmt#h>Kf#_7g$w$3~p>UaPDh9SG`V@qj4 z3KQ9vlqE%4k#(3pim}yLD$CnQS+Z1Gl&wz@#h@7bGAg4*qm+Fc#H27(jI#Y+(>dq& zJ?DJC^G98m%QZ9Reb4>A@8|NkTjwFT_YxYTN37HRHo-@)aKg!^G{61byTMI&?dY#? z2UP4kZhiy2OB~&y0!xd?4w9ODb>ns3>Z||SwC3%*r|T;r1|lGm-Uo`=dkUdj_w*K( z8y-UupdQ=ddDB7cC@!ZP74laGK+s@xiPcm9`GKJfsH9r?^)wQ(JfIx6#|CXZ_!aLk+Z-Oee+X&JQ zkgC<|k==9Ti1<}m8_!RXe*(X{h&u!v_%5A z1v_@8+1Thn+Y7mg;OFIxLexMC_HD=iQ9sSik4`a~FTsGD8L(1$S9RvY1M8;TPma#c z`ypbgbLU#f{(lBy&P7^SK)p%$70!C+X&?^Wymf2$224k|(d2#*82eYhcM42qlJ>V& zog}DkROyfb8SKA`c?dM~QgM8Xn@PT8h{40-ANr2#L!#=@($dD?UxOK0)zeU2ZJY#} z#ou!KZ7sKuCxHJDaKB6 z+?tB(O2JoYxhh)@fugi{QKgGvkbdc|uudg=LH4%E8ImobR0p5=xuIilE3mbFeGjzv zH804PvnWTC%&&uaBVw|ySaPcwe2tcI>kHvqw5nomzV;NxP4uTORmC$;K+rCOnS`T7s&W(Fh24N( zzkonml@9H+lYN4dlnan1S4Q<783SpSPH%5VR0l8YaI4n-KHMG4D>MY%*PnMM=@xmA zk{4oB7S6%1w{m-)(%d|m0CmUD;-# z|Kpe1^i+#~57i+5NY$i|n5SPPOTnhR>$Y82q^{ThkssFm4D6dFQ3H`zS3j13tjuSc zYnf-NwsU8LiQg2=E(>QGT62}a61NXJKN&lQ!FtR`W2 zzrd%UJZbtAISZ}8CQ;|2#rjH+pm%bLh4&~6uVfAso#5nhosJbO)~A+0hREp7OzO$Q~na2G_V&<+nE0*8YC8@SP1YWGEThqzkS{CZgeEG3M&#YJIwZH{w~GuKiZB z6nS$M(qZ_W5lv9KJn_zyPOoXCrXCq9LW+uPxV||P9%}gxqQHim&|wa=P_b0KJ+e5_ zU{CP9Y+%gJlka*eRKXH``;Cr{jmjs1j>PDY zL{#F|3aYCY8~@%H|8?HV8&vpZy+e_3Kbl(jUPFe=^Y^08N4Mh&XG97i>68e&rHYEg(m z22IuPe9obtY%j7qPu5IU9hU(b!*`R1#S`>$$0rYQ;^Jt=+~Z`fXWlQ_ycZ?RyTjUD z>Tcqmp%R(4jGGBhiKMh$*Y*u(%<+BMr#+Igzt5S_KnzsTmj3c#&lf?48iAbDp0Dn~ zMNbu9^S<)^%-OEKH6!K*uGFOU(H^If%)>U2Y0A<%`QJhi5Q5&ZNDiB6+enb?om4v~ zF8;d0%>ImImA0)>&K;C2c0m*96v7i7M-*+#4g^c_8R%WAsSu#oxG}z9?6(;)zwf%` z0QIw@IN8_-HNQ=S75n6_UMQx#B~z+g3GL-w9^T|Age=fHavAeGrQ;SbugrQ0LvZeb?8| z&-Z>S zYbXo*2>~a+{naxw$Wxq%S*oXmIm*+rEb2!GCPz-8RjxY|)`XTfc`wpqi1dbuEQNbC zT^X)5+0CoR2-D9H-Bhjb(B{*Mc^3mo^O*h@{hnN|R}g&_dvEeQTGDv;!rccF8K=n8 zhb7-S6W)?82{iUMa38;1cOb?%CIvp1Gucy?c{;EESLrM-nwC)&qcm1AHtT!sbvwhAp@cgZ zwQ@C~LXWi~h;PdQY4|a`N95O#+MI}?myZVy4UX?06@dKd8#nW4^R_3cC8kcO`4Xdr-Aoo5b};8hEIZz~ERl$TPK-@B=cH@A)FWMeqK3Vv3~GAHspXJP zjAexqo;MkbUq@vA{YKC8Z zVmmK9thSPUa8LwN*|;0T8O7KWIdzC+BrUhESExOkcm?+ty+L4G@ku@tUvlWY?k|&x z^-aO_`HHUFx~6aSf>6yr9wRRo$M=+9)yiK1b#yH2Ah*7_U9eL(llpg8AFIP)>IBtm zPp-Qh%>Z{8prjz#ZJ4Voh@?NixP4rx_JtoMOFli6>+cNVP?%X|u1`L7S zU44*af5`7)BepSP%9nRmakhe@*PAp+Ntj*DwVPdwiOM3jP=(M;u15dP&z5;Fj-hJ* z$MWX*Q3?|cO%I-8@NIXgANCjq<7nwOD$nemJqRMp&=S((dnUPt+u#oF7K0cA6sx!2 zUi$Mci(t|pA(2*=yXXizWmZS^em0p`HqQ z$<-`k5O=F9p^041%B6;)B}1&Pi!I;7aVLtxer`OgPH2(%avM8jAyLd|GhzA?y`~_> zQ`|12I|cVWHl7sTVd|Si2?GU0EH<|I_coghQDh3H-MjRs`NXGPw~d)5DWHb+yfxH^ z@nbJfD+#7gA3U58z2DR;ZGC<23B7O=c$XU^O(V7~Pae-A7H}c!o)H3OP+91#&slZC z2A=6368As)w*=##ZEc>C4sD9dO=0!o6ZYy@SDTH?yA*0}%-a;K7GmQ*-Hj>Nv6wTY zdJQcV9BaA2S_??-y^I^T@>y4j zigQ4{m7`)+7ZMH1JC}jk@=38->K!yIU+juuqHebZ)?1|cNkexYo-u0}SxB5Yjc)%T z0z03Jfcf;#&d!c{51Xr;1FZ(&Qr2b>ZMds+B^FNKm#Q}TAqQoOo1J|E|1m%k_J73S zuW+SF+L=Wcu~&1fNA>k+CVwR(C;gJu^=Zq1zcI!q``&*?_sZm@Wx!+uo$!ye4Dz=` zHVvb^y0j7BR!7T_z_)G3w?)u0E;-Tk>_z_g zN49K`1MM=FW`jS5?`EsgdqAxPF9NUw9^ahXchgM#l6zGGkyY_QR2y24FE!!A%<^p5 zfv6Vd?np*7HAOFVE+@vDd3ZmvF!@@Xb+7Aeta8Du(xO#(j!0c$MZIG zLQF`<^J2d=(K*K#>#xC+lcbu<&!A( zi4xJ4GB9qzbaOTFJRv#6gvWSMqp6TvmxLsASNbs0LiLPc3nbxbsD3W^oJ60vPWdPI za%CI{o|}jSuin*QRm*o2{SC`{VaJGOFoLI41sqcgKfJe^rwm#L+pQg(?Kv(nu(prH zlY(sm%0lnWrH?TO7$%G(j8a-gYXe(aWVbf$CwCY>($J)SNglrddVekVM^XWQPP#F| z-K0yKnrSdE$(eW&<3JLOZO!-0Xm|GtWT8sen(Iv7{|WWye5(*JS9BkFzb$q6_A}l z2bOnf`rSgiCKBoEvyK&3bd>-Rqfde979N{8zkt3dVdp(-pxxq1;1;{rnuzL7&qa_Tf=$)3K5H7{}) zWDI~Z7wXg>eeM3@axN7+wDi5~9gY!-^WV%4+Ig0BiM{I17!1z;5lA%z^4-~1UWAT% z)V1>z3@^7KVoJKDcU&Zux!sJWJz6*b?_K{v6e}B#m!BBV>Ykg4HdaMs06G zh0PB&ZK!;2^@qvGD^kKp19Xsgdp^Cr!76WObGj~AVZVC8O7lVI&5k7d)&nl@YV za4{9|7j--GJjsZDe#{6u_Ud!<`JpxPqx~jrf1UR|(8YH(TOt#HAi6a}V&gh0>L7r=FF6Uu8H4 z$y9WWO(>ylE*jjx@hs!3xV@Bc{%xHXuP~fVJ6zi3;7MY=mz&BKl8|JD^>&yrh2{%a z4!tm}(y&0S*2J|iHyxZcUBEL3u64a4H}HG%Z192)O#VeocNQ_T%FVH3D30ZdgwUhL zvtZTXI+GPKWLQ;2)EuPfh@rNMShjvf8}Td?WlUy}y!xLj&^odw zI(czy*Pq&>rvY<=O2$Ti?BTCj5yOW19}Mq&d}+3`nO*u}K2C~zP1wntezVXjb~m^% zOZb=3GtauZ*rpXnysm$~gl-ww{B`OOR};4xR2)8i!m51M?l7!EvWbDm0Q?r5iQ2%c z=b!iMZ)(fkH)QfzdH}zPP)N{5e;x+33q0PQ>TEP%*78*8%VX+GhBlbVTEWGwl5GB! z{g!kV-F{~;E+|&O(t|&j;0r4{TW!OKL0c*?23y_7z(g&;8v864b0)-&JV^_cj_56r zt8z772kZYzHC0tr@l~C_yAQyG=*vUv9N3or+R>h~a6@yN^E)E|8MU-cA~F8P>r>vK zY_&(S2g8+jFNC`Q8?T|dI^%_ydHumBJrJ%9&D0B!=V0wlmLtH3?*9dmV-)7EWZzkp zH$WK|w(VqrZ2cQveMtTLV@=RW5eVm+gY+!T1^v9iMUYufgNRx5tZSHqeH=0y4Um#tAyeN1w;Xr6FS{&7r#)gL1#d{r^$v#$oDH~+B9MbDa5K_@V%Q^qWwesA|THAb;iT_s;7{mmPr z08nr_++V_z#JsN%{QL=+D3ih%5iHA8b7} z)$?=*FaUo_YdE^um})$MM7POq$Oal`{x}~7)yzWB@HWc}eB)Uzg1j;nuH{Yr&|(hs zAyYqy3G3p`q`sDEjYkf-X8Ev!QU*BMxq^hj>=V%VKe}zh+e&CfF1-OEUG4I?o|YDC z;M6X|tz)(n9Ry;Nroqtnn^LXU6anw6P zvYN%*&mO)69^7i(&d36($7J>HY-q`~??N(e=#n`8QRBAu2kI&v*QI4-x|Yk${~<S{ptwXo{*5K%YHb9ZT z;T%Dr60AZ!Vx!ceQCj~Tb_^W6xWZIZ&~W2E+c}r(xw*)i?Y>_e{$Thg|9&8@RsWzH z_d@7Cl{@u7XCT-{kw8B;_wBwmF%S<@?yiUhe>k`=jSPJi$C=a(A3AkQ~y>D;YoL{9B`4O5~s#ZMaE4t%RQxo@bZ zdMg*u^PaLx)Q7I?u2a7npMRfEkY_H5e>N)Fj zCXNmi>{H7C`f}iae0JL1`g#-KzL?kWc1R@VCw6CNw4K^)pC7bIMF|=9A!o-x&jgNf z_$kr6uD1oc1i+I26Th8I*}UjL{SRxV;s{LdOCJIChXjMU_Z*pb>Xb5*Oc znx|*#UwLb{Z|3aW^P`FBF_N7Bj5*xOeiR@I$s(kPt5>f!)hx}_Az~?a{oY~J*K)U? zFax^x&>U4A0ISjSz|vgAKMAAP=#z5h2h(cr5&x82O|)lQWIYF%pN=`WuP>Os3ov%W zvVJ(+pcDZ9W8JmXpU@$wljzA`nB%KnTU}!FYF=EK@6P4XOu~LH;NlocIZ$5tJ!1G2 zjvNt=M&LV}QxBv59hA65?*Z219rapYYiU{8H7F?z9D#y-uWv!N-aOO|76Y=DYQYS1 zCGFH|_}Nj!21G4o<{O+p@-YfPH^)$`?54G8&hzddeQK}igEJB4uf{}ig5+0Ip#sDF zI#bFrR2n&3#IE@@dR0plo#TlB@`xLkOJg-uX#aEMkNs(_FS+l!>qfBp`sU4n+nVlg zpxXaPOwnNW6TGWpE`Y}ji&by@ih%_Avj-3| z|M>7{1JnU*sgp;DCoBDX`{DXFCCV$GaCDS`=mOGz=k{%nb*FZ(uiXZAktMzjQTPh@ zOOKylJ2eJE$p0pw>UfdYUsWS(=a%YJBL`Baul(L^MNv&|;<8Q8-9UI3d z_llnvauyI~56O1=ma85v-y8mB>AH8;1Tqj0uyE=b)=FF9^z%v%7=8(M8|3m*^V!{p z_mIbwW{ml&Wvc;iXqPPN9m(ZbESz(xu-p#&w;omSTC`9@jiQXl8?5F zS_!S!7sKuARs|y`8a#^%`!PQh7)CgVGTD)*WsfiooeBn{s2`|XSSwM8`a+Xc60-v9 zBcrW|nQX|t^}xNM-5%e@&oIX6Y0G@!zIl82cwN zaTG_{S?F;`U<^#G)6Gv3N?#o}BR3m{Z-3ttC$hl+!m<9F&t^lT8poK!*vmK*6taW! z8#vs9>#45|@2mr|cw%mJygF)To#wNyCyQ=;3rQH7%>ne6Z>TUV_+^?W9 zsa*YAY%>8jyRvidL64h0`uSEs@~?cXPtld%&_UQmTfCg3%Y;Z4P=40NWq;U&s3B#9sZ{E`Y4@mTjFx$zjJ%KUp-%uVzN&wC$H6zXa$&_4d7ms6av0lxxac zy=hE64kxff56qil3WB;KVHdru0c5!{%7UGAE^>AMqj3&Ap5mmsomim4?!fVMiCN#znZ6!KJ8b;-E zX~2mebF>V0Oe9V<_SP`Lvaz}`XX)_A=3+Z-7eEhGlgu8?W`40W+_ywJsvz~nHc=- z__N*IkZ?6a%kT`6L`dRZi?9*x(@2*Vm+Cw%Y2x9^WBlpsst0Q&+qd?hoL9189PS*~ z;$)~)4Z3A19^opL!;8)hm7W>-3G2)}k#qFFP)%E^ztpK(kfz7LtE}+zz9A4H9=VqI z6@A~QqwFn-M4c3QX)ch}Tk)x5`%K)yv!l727E`4u_EQ3{MnT+0Z4gHK?p5>7vhuy! zKKOolSW-h3lKWC+54&<;F1y&jg@e>?F*8LP%%0&4e zI(%kT*P?l0mHL~SGSbL;5%$#a#lf@6dK=XyJUgjT)wgiBUi6}QRa-Bc^K4FLE0x(A zcu1FtS^T}Sd1Qh0Eht+Yu=Dal--m#Y8WL>SjIR&~R0*iEx+*yskA!$^%e5Jp{#aUu;% zMCL3@&H@%=aMnA}H-=b}Mx3dl*FZSY!GKwEjvny7??NZuzisjC?lpcVL$h?;gIHNo zU(tpp9z{MyKeBzRVAs3O9!ppIR7mCT`?>csFFL&}6mjY5E9Gx2vJNH4Um+jZryQDn znoRaLDc)C|mAe|%eOkOZFXX7rqMPAOM&#ao6YK4Me)ur;{`~&(QR7-fk`*;I^rsQt z;rK@>zazPf46sN$`B#HZ>oZUc1?GSZIpaY>#gRX0L->>a^~e+XG1Tgwh?E2_&818= zCE&)t{a$Dit5?R?^Zl^D-hLInJESyz!TUn>>~Eh$p%8`U<7q(`6}C!@n*mqTuf>VS zDbD=q1=eYlFbJnFk z>yjaNR?l0iZzt=U?by2}JFCTX)4#u74V89 zlRV4Y-Fi#Qmo{tP`t3>Zv#acizISDARZ^$%>8&S75IO3;+^-6au0Bx03V7D;ud?pE zjcI`HfU9QtLW|4Nbz|0mq;c>*JkWE$%gJ6Q4Ol)|s&qZ|$dIh)=N- zrueq{*^C`Jw0fUpL)}9&Dajvs3^bPKZ-7wx`#kGl1Dha?wKO%``5Aqm(5BaVrFAb1 zF(Z%|HD|R`WaCPB2Cn}~?#nMC9V}eK%c3oC@ybrZVNSXQVQl zn4a{E&ascPs!txqH1G??rjJzKq7G8GLCLA(rc<34xq-JQk&*GqEbZ`tvI8pnBk)>#84L&yc3Z z=@|$lgV$?q$fUgw25d0SX!i<=iM zd&v9@tU1`LJ=*nB)ww{uJwlCG4hdzqZx&s0WmE^(uWhc*2*WgAW*IBsE58q|RjRWK zQnUFr&Ay}A*vgDn)rZO0lhj1}GkrV;+|{NHz_Ux(Zye0kj3nWXOig9E4nu=&o1~uu zNby|JvYSGV#R`qB-RMnLiBM8gajr2*x|u8aqH{PLeTX+~^Wy4L%z3Hm7J&Ns?FDd) zKXJvA`$;oKxw}?>pGm`nd&DM#EI)$Ze-Jv-6(NJH;0R6>gw&BZPjO^o4 zMoeo-JG;XO|BiK!AjLqI#K%kvq)wNhTf@YgpEgheBO|=XQN4!xNsOf-O913pYoj1T z(Qki2@vGchV_MldW665?LeCarF6&6 zhEDm%{g(1gNN7uT} z97mXEU6OkM9D|5BjRyv}N;E7kj~&-gG-jUTZ+vL?q@1uZSTFbraYl+Tot+{AQG|Oq zl>(2@u)iejZfL{eyO^T4aQbW6dDafx_Fx%{BjG8A;MEUjy4n%Q*`jWJhk>xMC0MA; zCfmK+km-RwMCqdYGI~U}s_ij(3;ml|%EIcz=K&YM9L8uo&$UaN2RI)l_C(vay2fRD zMp<7={zy~zDWj%^mo9Z&&TyCAU-z8@%|=J1VA1K6Pq%sPxWb5Zr8DHH#|wv;Zm|rL z{f1>KO1z_-zDRnDqP@14SBfvaMuB8pOzC{5q?$S#J;=>5k^CyItHlYacFXxv-(?PT4a+DdmhPw)1O4xA|qB zE={xe`?KeQ7yviok3G?^U{oo9VBkvSPKIny7vR!yTBZ`j9Bp$XD&~ zx_tR#{D;|JrE0a@X~xVeC;;n(&s3EhngvS+XF;=tF#W*bf)Vps%xTi~l(-G3NM1Mj0D>fIhw ze}$G_dJUnNayRGHVOZ11FKB;Q)5^n~SHDyPH_wOvm75dy4c%6Fprj^YY0bM5YKlh* zAGJDeIayM)zBHKcjl5vQx0@!s&H0E)8e{Zxe9Xx`(3S7QAms|pUxSVadB}hFJ#XBB z`Pdqvd|GbPhV=L+@JPBU!x7FDACb!1z5i2!px6DCeYGSYH?$v3r|R# zIF=N2@Y{0ZUu_GnH#qFAJL`l~J~+r&SVW`?z0U?z9>DU@8mZld!F1C@hX;)79jlJ}m1zYgh#4$1@G`B9`HZjnF zAug|3vLe|W{`TreZ4a~Nr1rYJo(9)NVmfigU;6KZaMm3PovZaVCo_X<3+XMXKPCVl zHmKn}AVW2y>R^AH=~??L<2*s234o7u%L=lATXSpQuVk2-1Hx2*l62vJ4_KVmeeLD& zD2>%lCLa!u+pdi^c#k1IVy`}`_^Z1te~+BSrbUQT;RCFI)ojyf4>P)ZsNvUZ}3y4?btfTRG@=hY% zUPW!Mf8m#>7=x#OJ@a!4+;$Q5n~ZhBze||KBCEPh_wsJmGP2pJL(c}l=^)Fj)rx>+`N#iyZw28 zk7Ny;Nf+bv!c#1zxBm4QH=OoIaa0m^x@rDEAnMWQ1}&7I;BPJ1Bl@ciVLlFG%58fp z4OZ?&EZ=<2Jz zJUUEM)EYm1j1a&(+k{yu-gMsn%o8C_x4qwpdJ`lu_gys|Lp%5dYqE*vMEVMt@A*Vc zWM&JBJnqL(2BxE^1&Ilf$>Hw4Fq8LNy@y+kn6!V9qYlRg~OxoMMS`)i}~UDH&@+{4x|yg`xFE903BOB&Q5eTy*# zzM+dQR^0c;zh&%^e_RambMyk*OvRZTf%@QN^%A2aQ+)~dSJUPOHk?_REAEz+DFiCs zr1aCet>_j8PcpVaLFmxPXxR#E^&TFRwot$qV<)IananFy=7i@NyEQ~M_$SLb6SDjn z61dE5KYOnojA4^Js1PBf2p&zw_R=zVAnm0@K&Jh^&OLUpKl^eMx+rWwWZ>Z8vY&9^ zOgJsWT5Fj-goyczm>gIsIzZ=!vw}S3u~6^7E;Ev)vBf$2t02xYd$5UX1NV%e)74wL z0$1P1qvCnkJPwkP+Xi>{1T>v#`Po+-yeqB=Aj@x$#T^%q%;|sY;yQGrX7?zT(ZYW= z7m*lfs+~!}b{&X4(fW-Tk=(fIOLiCEytl(_O*WNezGQ0T8Lqxdspdh{G1HI;LHqpV537~LyMwUWH--X1G zZ4i`(r4p20N5aou4{LQR4L&a}6#s(EPu9*f0dHkce z05dpVN2pkoz58Nw4SQ7w-)6~ZoMj%xx2^FD_DArTue-8d%Ern8pHkUq z-uYwo>|^qB3x=_K@4VwrDk+dC#w-fOo|r2^(*t&}3+vg^vgGP&2*M4X>w6#wf-TPUD)tckppjIR3Ek9;ZRX!z0E oQuH7fR~M55cCn{4@s4&$o!MFFNJ9%IalymZ>X2p0UR><|1HsScv;Y7A diff --git a/_static/pygments.css b/_static/pygments.css index 997797f..012e6a0 100644 --- a/_static/pygments.css +++ b/_static/pygments.css @@ -3,77 +3,77 @@ html[data-theme="light"] .highlight td.linenos .normal { color: inherit; backgro html[data-theme="light"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } html[data-theme="light"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } html[data-theme="light"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } -html[data-theme="light"] .highlight .hll { background-color: #7971292e } -html[data-theme="light"] .highlight { background: #fefefe; color: #545454 } -html[data-theme="light"] .highlight .c { color: #797129 } /* Comment */ -html[data-theme="light"] .highlight .err { color: #d91e18 } /* Error */ -html[data-theme="light"] .highlight .k { color: #7928a1 } /* Keyword */ -html[data-theme="light"] .highlight .l { color: #797129 } /* Literal */ -html[data-theme="light"] .highlight .n { color: #545454 } /* Name */ -html[data-theme="light"] .highlight .o { color: #008000 } /* Operator */ -html[data-theme="light"] .highlight .p { color: #545454 } /* Punctuation */ -html[data-theme="light"] .highlight .ch { color: #797129 } /* Comment.Hashbang */ -html[data-theme="light"] .highlight .cm { color: #797129 } /* Comment.Multiline */ -html[data-theme="light"] .highlight .cp { color: #797129 } /* Comment.Preproc */ -html[data-theme="light"] .highlight .cpf { color: #797129 } /* Comment.PreprocFile */ -html[data-theme="light"] .highlight .c1 { color: #797129 } /* Comment.Single */ -html[data-theme="light"] .highlight .cs { color: #797129 } /* Comment.Special */ -html[data-theme="light"] .highlight .gd { color: #007faa } /* Generic.Deleted */ +html[data-theme="light"] .highlight .hll { background-color: #fae4c2 } +html[data-theme="light"] .highlight { background: #fefefe; color: #080808 } +html[data-theme="light"] .highlight .c { color: #515151 } /* Comment */ +html[data-theme="light"] .highlight .err { color: #a12236 } /* Error */ +html[data-theme="light"] .highlight .k { color: #6730c5 } /* Keyword */ +html[data-theme="light"] .highlight .l { color: #7f4707 } /* Literal */ +html[data-theme="light"] .highlight .n { color: #080808 } /* Name */ +html[data-theme="light"] .highlight .o { color: #00622f } /* Operator */ +html[data-theme="light"] .highlight .p { color: #080808 } /* Punctuation */ +html[data-theme="light"] .highlight .ch { color: #515151 } /* Comment.Hashbang */ +html[data-theme="light"] .highlight .cm { color: #515151 } /* Comment.Multiline */ +html[data-theme="light"] .highlight .cp { color: #515151 } /* Comment.Preproc */ +html[data-theme="light"] .highlight .cpf { color: #515151 } /* Comment.PreprocFile */ +html[data-theme="light"] .highlight .c1 { color: #515151 } /* Comment.Single */ +html[data-theme="light"] .highlight .cs { color: #515151 } /* Comment.Special */ +html[data-theme="light"] .highlight .gd { color: #005b82 } /* Generic.Deleted */ html[data-theme="light"] .highlight .ge { font-style: italic } /* Generic.Emph */ -html[data-theme="light"] .highlight .gh { color: #007faa } /* Generic.Heading */ +html[data-theme="light"] .highlight .gh { color: #005b82 } /* Generic.Heading */ html[data-theme="light"] .highlight .gs { font-weight: bold } /* Generic.Strong */ -html[data-theme="light"] .highlight .gu { color: #007faa } /* Generic.Subheading */ -html[data-theme="light"] .highlight .kc { color: #7928a1 } /* Keyword.Constant */ -html[data-theme="light"] .highlight .kd { color: #7928a1 } /* Keyword.Declaration */ -html[data-theme="light"] .highlight .kn { color: #7928a1 } /* Keyword.Namespace */ -html[data-theme="light"] .highlight .kp { color: #7928a1 } /* Keyword.Pseudo */ -html[data-theme="light"] .highlight .kr { color: #7928a1 } /* Keyword.Reserved */ -html[data-theme="light"] .highlight .kt { color: #797129 } /* Keyword.Type */ -html[data-theme="light"] .highlight .ld { color: #797129 } /* Literal.Date */ -html[data-theme="light"] .highlight .m { color: #797129 } /* Literal.Number */ -html[data-theme="light"] .highlight .s { color: #008000 } /* Literal.String */ -html[data-theme="light"] .highlight .na { color: #797129 } /* Name.Attribute */ -html[data-theme="light"] .highlight .nb { color: #797129 } /* Name.Builtin */ -html[data-theme="light"] .highlight .nc { color: #007faa } /* Name.Class */ -html[data-theme="light"] .highlight .no { color: #007faa } /* Name.Constant */ -html[data-theme="light"] .highlight .nd { color: #797129 } /* Name.Decorator */ -html[data-theme="light"] .highlight .ni { color: #008000 } /* Name.Entity */ -html[data-theme="light"] .highlight .ne { color: #7928a1 } /* Name.Exception */ -html[data-theme="light"] .highlight .nf { color: #007faa } /* Name.Function */ -html[data-theme="light"] .highlight .nl { color: #797129 } /* Name.Label */ -html[data-theme="light"] .highlight .nn { color: #545454 } /* Name.Namespace */ -html[data-theme="light"] .highlight .nx { color: #545454 } /* Name.Other */ -html[data-theme="light"] .highlight .py { color: #007faa } /* Name.Property */ -html[data-theme="light"] .highlight .nt { color: #007faa } /* Name.Tag */ -html[data-theme="light"] .highlight .nv { color: #d91e18 } /* Name.Variable */ -html[data-theme="light"] .highlight .ow { color: #7928a1 } /* Operator.Word */ -html[data-theme="light"] .highlight .pm { color: #545454 } /* Punctuation.Marker */ -html[data-theme="light"] .highlight .w { color: #545454 } /* Text.Whitespace */ -html[data-theme="light"] .highlight .mb { color: #797129 } /* Literal.Number.Bin */ -html[data-theme="light"] .highlight .mf { color: #797129 } /* Literal.Number.Float */ -html[data-theme="light"] .highlight .mh { color: #797129 } /* Literal.Number.Hex */ -html[data-theme="light"] .highlight .mi { color: #797129 } /* Literal.Number.Integer */ -html[data-theme="light"] .highlight .mo { color: #797129 } /* Literal.Number.Oct */ -html[data-theme="light"] .highlight .sa { color: #008000 } /* Literal.String.Affix */ -html[data-theme="light"] .highlight .sb { color: #008000 } /* Literal.String.Backtick */ -html[data-theme="light"] .highlight .sc { color: #008000 } /* Literal.String.Char */ -html[data-theme="light"] .highlight .dl { color: #008000 } /* Literal.String.Delimiter */ -html[data-theme="light"] .highlight .sd { color: #008000 } /* Literal.String.Doc */ -html[data-theme="light"] .highlight .s2 { color: #008000 } /* Literal.String.Double */ -html[data-theme="light"] .highlight .se { color: #008000 } /* Literal.String.Escape */ -html[data-theme="light"] .highlight .sh { color: #008000 } /* Literal.String.Heredoc */ -html[data-theme="light"] .highlight .si { color: #008000 } /* Literal.String.Interpol */ -html[data-theme="light"] .highlight .sx { color: #008000 } /* Literal.String.Other */ -html[data-theme="light"] .highlight .sr { color: #d91e18 } /* Literal.String.Regex */ -html[data-theme="light"] .highlight .s1 { color: #008000 } /* Literal.String.Single */ -html[data-theme="light"] .highlight .ss { color: #007faa } /* Literal.String.Symbol */ -html[data-theme="light"] .highlight .bp { color: #797129 } /* Name.Builtin.Pseudo */ -html[data-theme="light"] .highlight .fm { color: #007faa } /* Name.Function.Magic */ -html[data-theme="light"] .highlight .vc { color: #d91e18 } /* Name.Variable.Class */ -html[data-theme="light"] .highlight .vg { color: #d91e18 } /* Name.Variable.Global */ -html[data-theme="light"] .highlight .vi { color: #d91e18 } /* Name.Variable.Instance */ -html[data-theme="light"] .highlight .vm { color: #797129 } /* Name.Variable.Magic */ -html[data-theme="light"] .highlight .il { color: #797129 } /* Literal.Number.Integer.Long */ +html[data-theme="light"] .highlight .gu { color: #005b82 } /* Generic.Subheading */ +html[data-theme="light"] .highlight .kc { color: #6730c5 } /* Keyword.Constant */ +html[data-theme="light"] .highlight .kd { color: #6730c5 } /* Keyword.Declaration */ +html[data-theme="light"] .highlight .kn { color: #6730c5 } /* Keyword.Namespace */ +html[data-theme="light"] .highlight .kp { color: #6730c5 } /* Keyword.Pseudo */ +html[data-theme="light"] .highlight .kr { color: #6730c5 } /* Keyword.Reserved */ +html[data-theme="light"] .highlight .kt { color: #7f4707 } /* Keyword.Type */ +html[data-theme="light"] .highlight .ld { color: #7f4707 } /* Literal.Date */ +html[data-theme="light"] .highlight .m { color: #7f4707 } /* Literal.Number */ +html[data-theme="light"] .highlight .s { color: #00622f } /* Literal.String */ +html[data-theme="light"] .highlight .na { color: #912583 } /* Name.Attribute */ +html[data-theme="light"] .highlight .nb { color: #7f4707 } /* Name.Builtin */ +html[data-theme="light"] .highlight .nc { color: #005b82 } /* Name.Class */ +html[data-theme="light"] .highlight .no { color: #005b82 } /* Name.Constant */ +html[data-theme="light"] .highlight .nd { color: #7f4707 } /* Name.Decorator */ +html[data-theme="light"] .highlight .ni { color: #00622f } /* Name.Entity */ +html[data-theme="light"] .highlight .ne { color: #6730c5 } /* Name.Exception */ +html[data-theme="light"] .highlight .nf { color: #005b82 } /* Name.Function */ +html[data-theme="light"] .highlight .nl { color: #7f4707 } /* Name.Label */ +html[data-theme="light"] .highlight .nn { color: #080808 } /* Name.Namespace */ +html[data-theme="light"] .highlight .nx { color: #080808 } /* Name.Other */ +html[data-theme="light"] .highlight .py { color: #005b82 } /* Name.Property */ +html[data-theme="light"] .highlight .nt { color: #005b82 } /* Name.Tag */ +html[data-theme="light"] .highlight .nv { color: #a12236 } /* Name.Variable */ +html[data-theme="light"] .highlight .ow { color: #6730c5 } /* Operator.Word */ +html[data-theme="light"] .highlight .pm { color: #080808 } /* Punctuation.Marker */ +html[data-theme="light"] .highlight .w { color: #080808 } /* Text.Whitespace */ +html[data-theme="light"] .highlight .mb { color: #7f4707 } /* Literal.Number.Bin */ +html[data-theme="light"] .highlight .mf { color: #7f4707 } /* Literal.Number.Float */ +html[data-theme="light"] .highlight .mh { color: #7f4707 } /* Literal.Number.Hex */ +html[data-theme="light"] .highlight .mi { color: #7f4707 } /* Literal.Number.Integer */ +html[data-theme="light"] .highlight .mo { color: #7f4707 } /* Literal.Number.Oct */ +html[data-theme="light"] .highlight .sa { color: #00622f } /* Literal.String.Affix */ +html[data-theme="light"] .highlight .sb { color: #00622f } /* Literal.String.Backtick */ +html[data-theme="light"] .highlight .sc { color: #00622f } /* Literal.String.Char */ +html[data-theme="light"] .highlight .dl { color: #00622f } /* Literal.String.Delimiter */ +html[data-theme="light"] .highlight .sd { color: #00622f } /* Literal.String.Doc */ +html[data-theme="light"] .highlight .s2 { color: #00622f } /* Literal.String.Double */ +html[data-theme="light"] .highlight .se { color: #00622f } /* Literal.String.Escape */ +html[data-theme="light"] .highlight .sh { color: #00622f } /* Literal.String.Heredoc */ +html[data-theme="light"] .highlight .si { color: #00622f } /* Literal.String.Interpol */ +html[data-theme="light"] .highlight .sx { color: #00622f } /* Literal.String.Other */ +html[data-theme="light"] .highlight .sr { color: #a12236 } /* Literal.String.Regex */ +html[data-theme="light"] .highlight .s1 { color: #00622f } /* Literal.String.Single */ +html[data-theme="light"] .highlight .ss { color: #005b82 } /* Literal.String.Symbol */ +html[data-theme="light"] .highlight .bp { color: #7f4707 } /* Name.Builtin.Pseudo */ +html[data-theme="light"] .highlight .fm { color: #005b82 } /* Name.Function.Magic */ +html[data-theme="light"] .highlight .vc { color: #a12236 } /* Name.Variable.Class */ +html[data-theme="light"] .highlight .vg { color: #a12236 } /* Name.Variable.Global */ +html[data-theme="light"] .highlight .vi { color: #a12236 } /* Name.Variable.Instance */ +html[data-theme="light"] .highlight .vm { color: #7f4707 } /* Name.Variable.Magic */ +html[data-theme="light"] .highlight .il { color: #7f4707 } /* Literal.Number.Integer.Long */ html[data-theme="dark"] .highlight pre { line-height: 125%; } html[data-theme="dark"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } html[data-theme="dark"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } diff --git a/example_analysis.html b/example_analysis.html index deaa773..46834f1 100644 --- a/example_analysis.html +++ b/example_analysis.html @@ -435,7 +435,7 @@

Example analysis notebook - single cell studies database -
(1964, 28)
+
(1965, 28)
 
diff --git a/searchindex.js b/searchindex.js index 4cdfcdf..c8536f5 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"Accessing snapshots with gsutil": [[1, "accessing-snapshots-with-gsutil"]], "Example analysis notebook - single cell studies database": [[2, "example-analysis-notebook-single-cell-studies-database"]], "Make plot highlighting record datasets over time": [[0, "make-plot-highlighting-record-datasets-over-time"]], "With Python": [[1, "with-python"]], "With R": [[1, "with-r"]], "single-cell-studies": [[1, "single-cell-studies"]]}, "docnames": ["201109_Make_records_figure", "README", "example_analysis"], "envversion": {"sphinx": 61, "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}, "filenames": ["201109_Make_records_figure.ipynb", "README.md", "example_analysis.ipynb"], "indexentries": {}, "objects": {}, "objnames": {}, "objtypes": {}, "terms": {"": [0, 2], "0": [0, 1, 2], "00": [1, 2], "001": 0, "002": 0, "00229": 1, "003": 0, "003236": 0, "00e7": 1, "01": [0, 1, 2], "010": 2, "011": 1, "015": 0, "019": 0, "01e7": 1, "02": [0, 2], "020": 2, "022": 0, "024": 0, "028": 0, "02x": 2, "03": [0, 1, 2], "038": 0, "04": [0, 1, 2], "048": 0, "05": [0, 2], "051003": 2, "06": [0, 1, 2], "063": 2, "065912": 0, "06t08": 1, "07": 0, "07069": 0, "07t08": 1, "08": [0, 1], "082149": 2, "09": [0, 2], "0969": 0, "1": [0, 1, 2], "10": [0, 1, 2], "1000000": 0, "1016": [0, 1, 2], "102639": 2, "1030": 2, "1031": 2, "1032": 2, "1033": 2, "1034": 2, "1035": 2, "1038": [0, 1, 2], "105700": 2, "107": 2, "1093": 1, "10t08": 1, "11": [0, 2], "110": 0, "1101": [0, 2], "110882": 0, "1126": 0, "118": 2, "1186": 1, "1191": 0, "119113": 2, "1192": 0, "1193": 0, "1194": 0, "1195": 0, "1196": 0, "119715": 2, "11t08": 1, "12": [0, 1, 2], "121": 0, "1212": 0, "1213": 0, "1214": 0, "1215": 0, "1216": 0, "1217": 0, "1218": 0, "1219": 0, "1220": 0, "1221": 0, "1222": 0, "124": 0, "12400000": 0, "1245316": 0, "1247651": 0, "125": 0, "1258367": 0, "126": 0, "127": 0, "128": 0, "12832": 0, "129": 0, "12t08": 1, "13": [0, 2], "130": 0, "131": 0, "1315": [0, 1], "132": 0, "134": 0, "135": 0, "1355585": 2, "136": [0, 2], "137": 0, "138": 0, "13892": 2, "139": 0, "13t08": 1, "14": [0, 2], "140": 0, "141": 0, "143": 0, "144": 0, "145": 0, "146": 0, "147": 0, "1471": 1, "148": 0, "149": 0, "14t08": 1, "15": [0, 1, 2], "150": 0, "15000": 0, "150599": 2, "153": 2, "15601": 2, "158": 0, "15t08": 1, "16": [0, 2], "160": 0, "168": 0, "16893": 2, "16t08": 1, "17": [0, 2], "170681": 2, "171": 2, "172": 0, "174": 0, "1742": 0, "175": 0, "176": 0, "177": 0, "178": 0, "17800": 2, "1786": 0, "1787": 0, "1797": 0, "17t08": 1, "18": [0, 2], "182": 0, "183": 0, "184": 0, "19": [0, 2], "192": 0, "1964": 2, "1e1": 0, "1e2": 0, "1e3": 0, "1e4": 0, "1e5": 0, "1e6": 0, "1e7": 0, "1e8": 0, "1m": 2, "2": [0, 1, 2], "20": [0, 1, 2], "200000": 0, "2002": 2, "2003": 2, "2004": 2, "2005": 2, "2006": 2, "2007": [1, 2], "2008": 2, "2009": [0, 2], "2010": [0, 2], "2011": [0, 2], "2012": [0, 2], "2013": [0, 2], "20130101t010101": 2, "2014": [0, 2], "2015": [0, 2], "2016": [0, 2], "2017": [0, 2], "2018": [0, 2], "2019": [0, 2], "20190101": 2, "20190101t010101": 2, "2020": [0, 2], "20200101t010101": 2, "2023": 0, "2024": 0, "2058652": 0, "21": 0, "210": 2, "2164": 1, "21786931": 0, "22": [0, 2], "22000": 2, "23": 0, "24541062801932367": 2, "24564796905222436": 2, "249": 1, "25": [1, 2], "250000": 0, "2522640": 0, "254": 2, "255": 2, "2660": 0, "268": 1, "268957": 2, "269": 0, "271610": 2, "277": 0, "2772": 0, "278": 0, "279": 0, "28": [0, 2], "280": 0, "281": 0, "282": 0, "287": 0, "288": 0, "289": 0, "29": [0, 2], "291": 0, "298134": 2, "299081": 0, "3": [0, 1, 2], "30": [0, 2], "300000": 2, "30396": 2, "31": 2, "31514": 2, "32": 2, "320871": 2, "329": 0, "33": 2, "330": 0, "331": 0, "3333": 2, "339182": 2, "34": 0, "35": 2, "35173": 2, "36044": 2, "364": 0, "365": [0, 2], "366": [0, 2], "367": 0, "37": 1, "377": 0, "38": [0, 2], "39": 2, "39895": 2, "399": 0, "4": [1, 2], "400000": 0, "402": 2, "4062980": 0, "408": 0, "409": 0, "410": 0, "411": 0, "413": 0, "414": 0, "4145": 0, "4146": 0, "4148": 0, "415": 2, "4150": 0, "4151": 0, "4388420": 0, "440": 0, "441": [0, 2], "442": 0, "443": 0, "444": 0, "445": 0, "4468": 0, "44808": 0, "457": 0, "458": 0, "459": 0, "46": 2, "48": [0, 1, 2], "5": [0, 1, 2], "50": 2, "525": 0, "531307": 0, "531507": 2, "535726": 0, "539674": 2, "55": 2, "555": 0, "563395": 0, "568": 2, "57": 2, "583001": 0, "583825": 2, "6": [0, 1, 2], "606": 2, "609": 0, "610": 0, "612": 0, "613": 0, "615": 0, "616": 0, "617": 0, "624041": 2, "626": 0, "627": 0, "6273": 1, "628": 0, "629": 0, "630": 0, "632": 0, "634": 0, "635": 0, "636": 0, "637": 0, "638": [0, 2], "66": 2, "661": 0, "662": 0, "663": 0, "664": 0, "665": 0, "666": 0, "666657": 2, "667": 0, "668": 0, "669": 0, "670": 0, "671": 0, "672": 0, "673": 0, "674": 0, "676": 0, "677": 0, "68": 2, "690000": 0, "7": [0, 2], "704": 0, "705": 0, "706": 0, "707": 0, "708": 0, "709": 0, "71": 2, "710": 0, "711": 0, "712": 0, "713": 0, "73": 2, "730522": 2, "756797": 2, "759696": 2, "7739200": 2, "777": 0, "778": 0, "779": 0, "780": 0, "781": 0, "8": [0, 1, 2], "805004": 2, "8100": 2, "82": 2, "85": 0, "86000": 0, "8747051959609": 2, "8747054344354": 2, "8747054437054": 2, "8747054448823": 2, "8747054773105": 2, "8747055002716": 2, "8747055166244": 2, "8747055176077": 2, "8811": 2, "897361": 2, "9": [1, 2], "91": 0, "9223363289799617820": 2, "9223363289799731403": 2, "9223363289799740556": 2, "9223363289799778209": 2, "9223363289799888903": 2, "9223363289800382776": 2, "9223363289800396572": 2, "923": 0, "924": 0, "925": 0, "926": 0, "95": [0, 2], "96": 0, "963570": 2, "97": 0, "98": 0, "985924": 2, "A": [0, 1, 2], "At": 0, "In": [1, 2], "No": [0, 1, 2], "The": [0, 2], "To": 1, "_": 0, "__call__": 0, "__dict__": 0, "__init__": [0, 2], "__name__": 0, "__repr__": 0, "_adjust": 0, "_default_pprint": 0, "_displai": 0, "_draw_breaks_and_label": 0, "_draw_lay": 0, "_draw_panel_bord": 0, "_internal_upd": 0, "_ipython_display_": 0, "_or_": [0, 2], "_posa_posb": 0, "_repr_pprint": 0, "_update_prop": 0, "aaw1219": 0, "aba7721": 0, "adamson": 0, "add_patch": 0, "addit": 0, "adhes": 2, "adjust_text": 0, "adjusttext": 0, "adren": 0, "adrienn": 2, "adult": 0, "ae": [0, 2], "al": [0, 1, 2], "alec": 0, "alek": 0, "alia": 2, "all": 1, "all_studi": 2, "alpha": 2, "alphabet": 2, "alwai": 0, "amit": 0, "among": 0, "amp": [1, 2], "an": [0, 1], "analysi": [0, 1], "ani": 0, "anindita": 0, "anni": 2, "antialias": 0, "ap": 0, "api": 2, "append": [0, 2], "appli": 2, "april": 2, "ar": 2, "arg": 0, "argument": [0, 2], "arial": 2, "ariel": 0, "arna": 1, "arpiar": 0, "arrowpatch": 0, "arrowprop": 0, "arrowstyl": 0, "artist": 0, "ascend": 2, "assign": 2, "astyp": 2, "atla": 0, "atrai": 0, "attributeerror": 0, "author": [0, 1, 2], "authors_pct_chang": 2, "autoalign": 0, "avail": 2, "avoid_self": 0, "ax": 0, "b": [0, 2], "back": 2, "backcompat": 0, "backend": 0, "balderrama": 0, "bao": 0, "barbacioru": [0, 1], "base_famili": 2, "basu": 0, "bc": [0, 2], "below": 1, "benjamin": 0, "beth": 0, "biol": 0, "biorxiv": [0, 1, 2], "biorxiv_over_tim": 2, "biyu": 0, "black": [0, 2], "bladder": 0, "blood": [0, 2], "bmc": 1, "bmcgenom": 1, "bone": [0, 2], "bool": 2, "bottom": 0, "brain": [0, 2], "brainimagelibrari": 2, "break": [0, 2], "break_": 0, "breakdown": 2, "breaker": 0, "brian": 2, "britt": 0, "buf": 0, "build": 0, "bx_frac": 2, "bytesio": 0, "c": [0, 2], "c0": 2, "c1": 2, "c2": 2, "c3": 2, "c4": 2, "ca": 0, "cacchiarelli": 0, "calci": 2, "call": [0, 2], "callabl": 0, "can": 2, "cao": [0, 1], "capstyl": 0, "captur": 0, "cat": 2, "catalin": [0, 1], "categor": 2, "categori": [0, 2], "cel": 0, "cell": 0, "cells_per_month": 2, "cells_per_studi": 2, "celrep": 0, "chang": 2, "character": 0, "check": 2, "chen": 0, "chengxiang": 0, "chloe": 0, "chr": 1, "christina": 0, "chromium": 2, "circuit": 0, "cl": 0, "clr": 2, "cluster": [0, 1, 2], "clustering_over_tim": 2, "clusters_per_cel": 2, "clusters_per_cells_by_tissu": 2, "code": 1, "col": 1, "col_charact": 1, "col_doubl": 1, "col_numb": 1, "color": [0, 2], "colorconvert": 2, "colorsi": 2, "column": [0, 1, 2], "com": 0, "combinatori": 0, "comma_format": 0, "common": 2, "commun": [0, 2], "complet": 1, "composit": 0, "concat": 2, "config": [0, 2], "connectionstyl": 0, "contain": 0, "contrast": [0, 1, 2], "convert": 2, "coord": 0, "coordin": 0, "copi": [1, 2], "core": 0, "count": 2, "cp": 1, "cr": 0, "creat": 0, "crispr": 0, "csc": 0, "cts_": 2, "cultur": [0, 2], "curat": [1, 2], "current": 2, "cycl": 0, "d": [0, 2], "dai": 0, "data": [0, 1, 2], "data_scal": 2, "data_snapshot_2019": 1, "databas": 1, "datafram": [0, 2], "dataset": 2, "date": [0, 1, 2], "date_break": 2, "date_format": 2, "datetim": 0, "david": 0, "dbl": 1, "dcell": 2, "decemb": 2, "def": [0, 2], "default": [1, 2], "deferred_pprint": 0, "deferred_print": 0, "dejavu": 2, "delim": 1, "deng": 0, "deposit": [0, 2], "deprec": 0, "deriv": 0, "dev": 0, "devcel": 2, "development": [0, 1, 2], "df": [0, 2], "df_": 2, "dian": 2, "diana": 0, "dictionari": 2, "did_biorxiv": 2, "differ": [1, 2], "differenti": 0, "digit": 0, "dilut": 0, "direct": 0, "diseas": [0, 2], "displai": [0, 2], "display_dist": 0, "display_func": 0, "dissect": 0, "divers": [0, 2], "divya": 0, "dixit": 0, "do": 2, "doi": [0, 1, 2], "doubing_tim": 2, "doubling_tim": 2, "download": 2, "dpi": 0, "draw": 0, "draw_group": 0, "draw_lay": 0, "draw_panel": 0, "drop": [0, 2], "dropna": 2, "dt": 2, "dtype": [0, 2], "dynam": 0, "e": 0, "each": [0, 2], "edgecolor": 0, "eichhorn": 2, "elegan": 0, "els": 0, "embryo": [0, 2], "embryon": 0, "end": 2, "ensure_inside_ax": 0, "entri": 2, "enumer": 0, "errfmt": 0, "error": 0, "esumi": 1, "et": [0, 1, 2], "eun": 2, "evan": 0, "exampl": 1, "exclude_tissu": 2, "expand": 0, "expand_ax": 0, "expand_point": 0, "expand_text": 0, "explod": 2, "explode_radiu": 0, "express": 0, "ey": [0, 2], "f": 0, "fac": 0, "facecolor": 0, "facet_wrap": 2, "fall": 2, "fals": [0, 2], "famili": 2, "fan": 0, "fancyarrowpatch": 0, "februari": 2, "fetal": 0, "fig": [0, 2], "fig_kwarg": 0, "figur": [0, 1, 2], "figure_format": [0, 2], "figure_s": [0, 2], "file": [0, 1], "filenam": 0, "fill": [0, 2], "fillna": 2, "filterwarn": 2, "final": 0, "find": 0, "findfont": 2, "fischer": 2, "fit": 2, "float": [0, 2], "float64": 2, "florian": 0, "flush": 0, "folder": 2, "follow": 2, "font": 2, "font_manag": 2, "force_explod": 0, "force_pul": 0, "force_stat": 0, "force_text": 0, "format": [0, 2], "formatt": [0, 2], "formula": 2, "found": 2, "fr": 1, "fraction": 2, "from": [0, 2], "ftp": 2, "fu": 0, "fuchou": [0, 1], "full": 1, "func": 0, "function": 0, "futur": 0, "futurewarn": 0, "g": [0, 1], "gdata": 0, "ge": 1, "gen": 0, "gene": 0, "gener": [0, 1], "genet": 0, "genom": 0, "geo": 1, "geom": 0, "geom_bar": 2, "geom_lin": 2, "geom_point": [0, 2], "geom_text": 0, "georgi": 2, "get": [0, 2], "get_coeff_pv": 2, "get_display_funct": 0, "get_real_method": 0, "get_regression_coeff": 2, "getattr": 0, "getvalu": 0, "ggplot": [0, 2], "gilchrist": 1, "gioel": 0, "github": 1, "gkl050": 1, "gland": 0, "glenn": 0, "googleapi": 0, "got": [0, 2], "gr": 0, "grace": 0, "grei": 2, "group": [0, 2], "groupbi": [0, 2], "gse14605": 1, "gse4309": 1, "gt": [0, 2], "guo": 0, "h": [0, 2], "h5ad": [0, 1, 2], "ha": [0, 2], "han": 0, "handle_na": 0, "hannah": 0, "hashimshoni": 0, "hatch": 0, "have": 0, "he": 2, "head": [1, 2], "heart": [0, 2], "height": 0, "hex_color": 2, "highli": 0, "hls_to_rgb": 2, "hongshan": 0, "hostedtoolcach": 0, "http": [0, 1, 2], "human": [0, 2], "i": [0, 1, 2], "ian": [0, 1], "id": [0, 2], "ident": 2, "idx": 2, "ifc": 0, "ignor": 2, "iloc": 2, "imag": 0, "immun": [0, 2], "immuni": 2, "impact": 0, "import": [0, 1, 2], "index": [0, 2], "individu": 0, "indrop": 2, "inf": 2, "inlin": [0, 2], "inlinebackend": [0, 2], "inplac": 0, "instead": 0, "instruct": 1, "int": 2, "int64": 2, "interact": 0, "intestin": 0, "io": [1, 2], "ipython": 0, "ipythondisplayformatt": 0, "is_inline_backend": 0, "islam": 0, "isol": [0, 1, 2], "iter_lim": 0, "iterrow": 0, "j": [0, 1, 2], "jaitin": 0, "januari": 2, "jason": 1, "jenni": 0, "jeong": 2, "jessica": 0, "jiang": 0, "joinstyl": 0, "jonah": 0, "joost": 0, "jost": 0, "journal": [0, 1, 2], "junyu": 0, "just": 0, "justin": 2, "k": [0, 1, 2], "karol": 0, "kenigsberg": 0, "keren": 0, "keyword": 0, "kib": 1, "kidnei": [0, 2], "kind": 2, "kjallquist": 0, "kur": 1, "kurimoto": 1, "kwarg": 0, "l": [0, 1, 2], "lab": [0, 2], "label": [0, 2], "lack": 0, "lambda": 2, "landscap": 0, "langlieb": 0, "laps": 0, "last": [0, 2], "layer": 0, "layout": 0, "lcm": 1, "le": 2, "len": 0, "li": 0, "lib": 0, "librari": [0, 1], "light": 2, "lighten": 2, "lightgrei": 0, "lii": 0, "liji": 0, "limit": 0, "limits": 0, "line": [0, 2], "linestyl": 0, "linewidth": 0, "list": 2, "liver": 0, "lm": 2, "loc": 0, "locat": [0, 1, 2], "log": 2, "log10": 2, "look": 2, "lot": 2, "lu": 0, "luan": 2, "lung": [0, 2], "lw": 0, "m": [0, 1, 2], "m_idx": 2, "macaqu": 2, "macosko": 0, "madr": 0, "magali": 0, "mai": 2, "main": 0, "maintain": 0, "make": 2, "malt": 0, "manual": [0, 1], "manuscript": [1, 2], "map": [0, 2], "mar": 0, "march": 2, "marco": 0, "marrow": [0, 2], "martin": 0, "massiv": 0, "matplotlib": [0, 2], "matplotlibdeprecationwarn": 2, "max_seq_length": 0, "max_width": 0, "me": 1, "mean": [0, 2], "measur": [0, 1, 2], "median": 2, "median_rna_df": 2, "meng": 2, "merfish": 2, "merg": 2, "meth": [0, 1], "method": [0, 2], "michael": 1, "microwel": 0, "min_arrow_len": 0, "mingyu": 0, "miss": 0, "mizani": [0, 2], "mo": 0, "mode": 1, "modul": 2, "mol": 0, "molecular": [0, 2], "molin": 0, "month": 2, "monthli": 2, "monthly_stat": 2, "more": 1, "most": [0, 2], "mous": [0, 2], "mpl_save_view": 0, "mplcol": 2, "mrna": [0, 1], "msg": 0, "multipl": 2, "multiplex": 0, "muscl": 0, "must": 0, "mutation_aspect": 0, "mutation_scal": 0, "n": 0, "na": 1, "name": 2, "namespac": 0, "nan": [0, 1, 2], "nanodroplet": 0, "nar": 1, "nat": [0, 1, 2], "natur": [0, 2], "ncol": 2, "ncomm": 0, "ncomms14049": 0, "neur": 1, "neuro": 1, "neuron": 1, "new_color": 2, "newest": 2, "newlin": 0, "niederrit": 2, "nina": 0, "nmeth": [0, 1], "noa": 0, "none": [0, 2], "normal": [0, 2], "norman": 0, "notebook": 1, "novemb": 2, "np": 2, "nper": 2, "nresearch": 1, "nsmb": 0, "nuclei": 1, "number": [0, 1, 2], "numpi": [0, 2], "nuniqu": 2, "nxn": [0, 1, 2], "o": 0, "obj": 0, "object": [0, 1], "obtain": 1, "ol": 2, "onc": 2, "onli": 2, "only_mov": 0, "onto": 0, "oocyt": 0, "oper": 1, "opt": 0, "option": [0, 2], "order": 2, "oren": 0, "org": 2, "organ": [0, 1, 2], "organoid": 2, "other": 2, "out": 1, "output": 0, "over": [1, 2], "p": [0, 2], "p_": 2, "packag": 0, "palett": 2, "pancrea": 2, "panda": [0, 1, 2], "panel": [0, 1, 2], "panel_param": 0, "panoram": 0, "parallel": 0, "param": [0, 2], "park": 2, "parna": 0, "pars": 1, "pass": 0, "patch": 0, "patcha": 0, "patchb": 0, "path": 0, "pca": [0, 1, 2], "pcr": 1, "pct_chang": 2, "pd": [0, 1, 2], "pdata": 0, "pdf": 2, "peng": 2, "per": [0, 2], "per_month": 2, "perfom": 2, "perform": 2, "perturb": 0, "phillip": 0, "pick": [0, 1], "picowel": 0, "pipe": [0, 2], "pipet": [0, 1], "pivot": 2, "pla": 0, "plaintextformatt": 0, "platform": 1, "pliner": 0, "ploc": 0, "plot": 2, "plot_context": 0, "plotnin": [0, 2], "plotninewarn": 0, "png": 0, "point": 0, "polymorph": 0, "popul": 0, "posa": 0, "posb": 0, "post": 2, "pprint": 0, "pre": 2, "predict": 2, "predict_number_celltyp": 2, "prefer": 0, "preimpl": 0, "prenat": 0, "prenorm": 0, "preprint": 2, "pretti": 0, "print": [0, 2], "print_method": 0, "printer": 0, "pro": 0, "proce": 1, "process": 0, "produc": 2, "profil": 0, "profili": 0, "programat": 1, "project": 2, "prop": 0, "prop_nam": 0, "properti": 0, "proportion": 2, "pseudoanalysi": 2, "pseudotim": [0, 1, 2], "pseudotime_over_tim": 2, "public": 0, "publish": 2, "pull_threshold": 0, "pvalu": 2, "py": 0, "pylab": [0, 2], "python": 0, "python3": 0, "q": [0, 2], "qcut": 2, "qiu": 0, "quantit": 0, "queri": [0, 2], "r": [0, 2], "rahul": 0, "rais": 0, "ramskold": 0, "random": 0, "rc_context": 0, "read_csv": [0, 1, 2], "read_delim": 1, "readr": 1, "recent": [0, 2], "reciproc": 2, "red": 2, "redirect": 0, "reiniu": 0, "remain": 2, "remov": 0, "renam": 2, "reni": 0, "replac": [0, 2], "report": [0, 1, 2], "repositori": 2, "repr": 0, "representationprint": 0, "request": 2, "requir": 0, "resampl": 2, "research": 0, "reset_index": [0, 2], "ret": 0, "retina": [0, 2], "return": [0, 2], "reveal": [0, 1, 2], "rgb": 2, "rgb_to_hl": 2, "right": 0, "rihel": 1, "rna": [0, 1, 2], "rna_df": 2, "ro": 0, "robert": 0, "rodriqu": 0, "round": 0, "row": [0, 1], "run": 2, "s0896": 1, "s41467": 2, "s41586": 0, "sachdev": 0, "saiful": 0, "samuel": 0, "san": 2, "sandberg": 0, "sar": 2, "satija": 0, "saunder": 0, "save": [0, 2], "save_format": 0, "save_help": 0, "savefig": 0, "sc": 0, "scalabl": 0, "scale_color_manu": 2, "scale_fill_brew": 2, "scale_fill_manu": 2, "scale_x_datetim": [0, 2], "scale_x_log10": 2, "scale_y_log10": [0, 2], "schaefer": 0, "schmeidel": 0, "schmiedel": 0, "scienc": [0, 2], "scp301": 0, "screen": 0, "scrnaseq_studi": 2, "se": [0, 1, 2], "see": 1, "self": 0, "sep": [0, 1, 2], "seq": [0, 2], "seq2": 2, "sequenc": 2, "set": 0, "set_": 0, "set_joinstyl": 0, "set_posit": 0, "setdefault": 0, "setup": 0, "shami": 2, "shape": [0, 2], "shaul": 0, "sheng": 1, "sher": 0, "shigei": 1, "shigeyuki": 1, "shorthand": [0, 1, 2], "should": 0, "show": 0, "shrinka": 0, "shrinkb": 0, "simon": 0, "sin": 0, "sing": 1, "singh": 0, "singl": 0, "singleton_pprint": 0, "singleton_print": 0, "siqin": 0, "site": 0, "situ": 2, "size": [0, 1, 2], "skin": 2, "slide": 0, "sm": [1, 2], "smart": 2, "smarter": 2, "smf": 2, "sort": 0, "sort_index": 2, "sort_valu": [0, 2], "soumillon": 0, "sourc": [0, 1, 2], "space": 2, "spatial": [0, 2], "spec": 1, "special": 0, "specif": 1, "spielmann": 0, "spleen": [0, 2], "split": 2, "splitlin": 0, "stacklevel": 0, "stage": [0, 1, 2], "start": 0, "stat": 2, "stat_smooth": 2, "statist": 2, "statsmodel": 2, "stefan": 0, "stem": [0, 2], "stephen": [0, 2], "stickel": 0, "sto": 0, "storag": 0, "str": [0, 2], "stream": 0, "strftime": 2, "string": 2, "stringio": 0, "struct": 0, "studi": 0, "studies_over_tim": 2, "studies_per_month": 2, "subkhank": 1, "subkhankulova": 1, "subset": 2, "sul": 1, "sum": 2, "summary_t": 2, "super": [0, 1], "support": 2, "surgic": 2, "sv": 0, "t": [0, 1, 2], "t_": 2, "t_dict": 2, "tabl": 2, "tail": [1, 2], "take": 2, "tamar": 0, "tang": [0, 1], "target": 0, "target_i": 0, "target_x": 0, "tatian": 1, "tatiana": 1, "tdf": 2, "tech": 2, "techniqu": [0, 1, 2], "techniques_over_tim": 2, "technologi": [0, 2], "terri": 0, "test": 2, "testi": 2, "text": 0, "text_mid": 0, "them": 0, "theme": 0, "theme_minim": [0, 2], "thi": [0, 2], "thoma": 0, "thymopoi": 2, "ti": 1, "tibbl": 1, "tidyvers": 1, "tietjen": 1, "time": 2, "time_lim": 0, "timestamp": 2, "tissu": [0, 1, 2], "tissue_": 2, "titl": [0, 1, 2], "to_datetim": [0, 2], "to_excel": 2, "to_fram": 2, "to_rgb": 2, "top": 2, "top_journ": 2, "top_tissu": 2, "total": [0, 1, 2], "trace": 0, "traceback": [0, 2], "tran": 1, "transcript": 0, "transcriptom": [0, 1, 2], "trend": [1, 2], "trigger": 2, "trout": 2, "true": [0, 2], "tsne": [0, 1, 2], "tsne_over_tim": 2, "tsv": [0, 1, 2], "tumor": 2, "type": [0, 1, 2], "type_pprint": 0, "type_print": 0, "typeerror": 2, "u": 0, "unexpect": 0, "uniqu": [0, 2], "unique_author": 2, "unit": 0, "unknown": 2, "updat": 0, "url": 2, "us": [0, 2], "user": 0, "v": [0, 2], "v0": 2, "va": 0, "val": [1, 2], "valu": [0, 2], "value_count": 2, "variabl": 1, "veloc": [0, 1, 2], "verbos": 0, "version": 0, "vi": 2, "view": 0, "w": [0, 2], "wagner": 0, "wang": [0, 1], "warn": [0, 2], "weirong": 0, "welsh": 0, "when": 0, "who": 2, "whole": [0, 2], "wide": 0, "width": 0, "william": 2, "wit": 0, "without": 0, "wu": 1, "www": [1, 2], "wysok": 0, "x": [0, 1, 2], "x64": 0, "xi": 1, "xian": 2, "xiaoji": 0, "xiaop": 0, "xing": 0, "xlsx": 2, "y": [0, 1, 2], "yan": 0, "yanagawa": 1, "yang": 0, "yangzhou": [0, 1], "yanxiang": 1, "ye": [0, 2], "year": 2, "yincong": 0, "yuchio": 1, "z": 0, "zajac": 0, "zehao": 0, "zeisel": 0, "zhang": [0, 2], "zheng": [0, 2], "zhou": 0, "zi": 0, "zingg": 2, "zorder": 0}, "titles": ["Make plot highlighting record datasets over time", "single-cell-studies", "Example analysis notebook - single cell studies database"], "titleterms": {"With": 1, "access": 1, "analysi": 2, "cell": [1, 2], "databas": 2, "dataset": 0, "exampl": 2, "gsutil": 1, "highlight": 0, "make": 0, "notebook": 2, "over": 0, "plot": 0, "python": 1, "r": 1, "record": 0, "singl": [1, 2], "snapshot": 1, "studi": [1, 2], "time": 0}}) \ No newline at end of file +Search.setIndex({"alltitles": {"Accessing snapshots with gsutil": [[1, "accessing-snapshots-with-gsutil"]], "Example analysis notebook - single cell studies database": [[2, "example-analysis-notebook-single-cell-studies-database"]], "Make plot highlighting record datasets over time": [[0, "make-plot-highlighting-record-datasets-over-time"]], "With Python": [[1, "with-python"]], "With R": [[1, "with-r"]], "single-cell-studies": [[1, "single-cell-studies"]]}, "docnames": ["201109_Make_records_figure", "README", "example_analysis"], "envversion": {"sphinx": 61, "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}, "filenames": ["201109_Make_records_figure.ipynb", "README.md", "example_analysis.ipynb"], "indexentries": {}, "objects": {}, "objnames": {}, "objtypes": {}, "terms": {"": [0, 2], "0": [0, 1, 2], "00": [1, 2], "001": 0, "002": 0, "00229": 1, "003": 0, "003236": 0, "00e7": 1, "01": [0, 1, 2], "010": 2, "011": 1, "015": 0, "019": 0, "01e7": 1, "02": [0, 2], "020": 2, "022": 0, "024": 0, "028": 0, "02x": 2, "03": [0, 1, 2], "038": 0, "04": [0, 1, 2], "048": 0, "05": [0, 2], "051003": 2, "06": [0, 1, 2], "063": 2, "065912": 0, "06t08": 1, "07": 0, "07069": 0, "07t08": 1, "08": [0, 1], "082149": 2, "09": [0, 2], "0969": 0, "1": [0, 1, 2], "10": [0, 1, 2], "1000000": 0, "1016": [0, 1, 2], "102639": 2, "1030": 2, "1031": 2, "1032": 2, "1033": 2, "1034": 2, "1035": 2, "1038": [0, 1, 2], "105700": 2, "107": 2, "1093": 1, "10t08": 1, "11": [0, 2], "110": 0, "1101": [0, 2], "110882": 0, "1126": 0, "118": 2, "1186": 1, "1191": 0, "119113": 2, "1192": 0, "1193": 0, "1194": 0, "1195": 0, "1196": 0, "119715": 2, "11t08": 1, "12": [0, 1, 2], "121": 0, "1212": 0, "1213": 0, "1214": 0, "1215": 0, "1216": 0, "1217": 0, "1218": 0, "1219": 0, "1220": 0, "1221": 0, "1222": 0, "124": 0, "12400000": 0, "1245316": 0, "1247651": 0, "125": 0, "1258367": 0, "126": 0, "127": 0, "128": 0, "12832": 0, "129": 0, "12t08": 1, "13": [0, 2], "130": 0, "131": 0, "1315": [0, 1], "132": 0, "134": 0, "135": 0, "1355585": 2, "136": [0, 2], "137": 0, "138": 0, "13892": 2, "139": 0, "13t08": 1, "14": [0, 2], "140": 0, "141": 0, "143": 0, "144": 0, "145": 0, "146": 0, "147": 0, "1471": 1, "148": 0, "149": 0, "14t08": 1, "15": [0, 1, 2], "150": 0, "15000": 0, "150599": 2, "153": 2, "15601": 2, "158": 0, "15t08": 1, "16": [0, 2], "160": 0, "168": 0, "16893": 2, "16t08": 1, "17": [0, 2], "170681": 2, "171": 2, "172": 0, "174": 0, "1742": 0, "175": 0, "176": 0, "177": 0, "178": 0, "17800": 2, "1787": 0, "1788": 0, "1798": 0, "17t08": 1, "18": [0, 2], "182": 0, "183": 0, "184": 0, "19": [0, 2], "192": 0, "1965": 2, "1e1": 0, "1e2": 0, "1e3": 0, "1e4": 0, "1e5": 0, "1e6": 0, "1e7": 0, "1e8": 0, "1m": 2, "2": [0, 1, 2], "20": [0, 1, 2], "200000": 0, "2002": 2, "2003": 2, "2004": 2, "2005": 2, "2006": 2, "2007": [1, 2], "2008": 2, "2009": [0, 2], "2010": [0, 2], "2011": [0, 2], "2012": [0, 2], "2013": [0, 2], "20130101t010101": 2, "2014": [0, 2], "2015": [0, 2], "2016": [0, 2], "2017": [0, 2], "2018": [0, 2], "2019": [0, 2], "20190101": 2, "20190101t010101": 2, "2020": [0, 2], "20200101t010101": 2, "2023": 0, "2024": 0, "2058652": 0, "21": 0, "210": 2, "2164": 1, "21786931": 0, "22": [0, 2], "22000": 2, "23": 0, "24541062801932367": 2, "24564796905222436": 2, "249": 1, "25": [1, 2], "250000": 0, "2522640": 0, "254": 2, "255": 2, "2660": 0, "268": [0, 1], "268957": 2, "269": 0, "271": 0, "271610": 2, "277": 0, "2772": 0, "279": 0, "28": [0, 2], "280": 0, "281": 0, "282": 0, "287": 0, "288": 0, "289": 0, "29": [0, 2], "291": 0, "298134": 2, "299081": 0, "3": [0, 1, 2], "30": [0, 2], "300000": 2, "30396": 2, "31": 2, "31514": 2, "32": 2, "320871": 2, "329": 0, "33": 2, "330": 0, "331": 0, "3333": 2, "339182": 2, "34": 0, "35": 2, "35173": 2, "36044": 2, "364": 0, "365": [0, 2], "366": [0, 2], "367": 0, "37": 1, "377": 0, "38": [0, 2], "39": 2, "39895": 2, "4": [1, 2], "400": 0, "400000": 0, "402": 2, "4062980": 0, "408": 0, "409": 0, "410": 0, "411": 0, "413": 0, "414": 0, "4145": 0, "4146": 0, "4148": 0, "415": 2, "4150": 0, "4151": 0, "4388420": 0, "440": 0, "441": [0, 2], "442": 0, "443": 0, "444": 0, "445": 0, "4468": 0, "44808": 0, "451": 0, "452": 0, "453": 0, "46": 2, "48": [0, 1, 2], "5": [0, 1, 2], "50": 2, "525": 0, "531307": 0, "531507": 2, "535726": 0, "539674": 2, "55": 2, "555": 0, "563395": 0, "568": 2, "57": 2, "583001": 0, "583825": 2, "6": [0, 1, 2], "606": 2, "609": 0, "610": 0, "612": 0, "613": 0, "615": 0, "616": 0, "617": 0, "624041": 2, "626": 0, "627": 0, "6273": 1, "628": 0, "629": 0, "630": 0, "632": 0, "634": 0, "635": 0, "636": 0, "637": 0, "638": [0, 2], "66": 2, "661": 0, "662": 0, "663": 0, "664": 0, "665": 0, "666": 0, "666657": 2, "667": 0, "668": 0, "669": 0, "670": 0, "671": 0, "672": 0, "673": 0, "674": 0, "676": 0, "677": 0, "68": 2, "690000": 0, "7": [0, 2], "704": 0, "705": 0, "706": 0, "707": 0, "708": 0, "709": 0, "71": 2, "710": 0, "711": 0, "712": 0, "713": 0, "73": 2, "730522": 2, "756797": 2, "759696": 2, "7739200": 2, "777": 0, "778": 0, "779": 0, "780": 0, "781": 0, "8": [0, 1, 2], "805004": 2, "8100": 2, "82": 2, "85": 0, "86000": 0, "8747051959609": 2, "8747054344354": 2, "8747054437054": 2, "8747054448823": 2, "8747054773105": 2, "8747055002716": 2, "8747055166244": 2, "8747055176077": 2, "8811": 2, "897361": 2, "9": [1, 2], "91": 0, "9223363289799617820": 2, "9223363289799731403": 2, "9223363289799740556": 2, "9223363289799778209": 2, "9223363289799888903": 2, "9223363289800382776": 2, "9223363289800396572": 2, "923": 0, "924": 0, "925": 0, "926": 0, "95": [0, 2], "96": 0, "963570": 2, "97": 0, "98": 0, "985924": 2, "A": [0, 1, 2], "At": 0, "In": [1, 2], "No": [0, 1, 2], "The": [0, 2], "To": 1, "_": 0, "__call__": 0, "__dict__": 0, "__init__": [0, 2], "__name__": 0, "__repr__": 0, "_adjust": 0, "_default_pprint": 0, "_displai": 0, "_draw_breaks_and_label": 0, "_draw_lay": 0, "_draw_panel_bord": 0, "_internal_upd": 0, "_ipython_display_": 0, "_or_": [0, 2], "_posa_posb": 0, "_repr_pprint": 0, "_update_prop": 0, "aaw1219": 0, "aba7721": 0, "adamson": 0, "add_patch": 0, "addit": 0, "adhes": 2, "adjust_text": 0, "adjusttext": 0, "adren": 0, "adrienn": 2, "adult": 0, "ae": [0, 2], "al": [0, 1, 2], "alec": 0, "alek": 0, "alia": 2, "all": 1, "all_studi": 2, "alpha": 2, "alphabet": 2, "alwai": 0, "amit": 0, "among": 0, "amp": [1, 2], "an": [0, 1], "analysi": [0, 1], "ani": 0, "anindita": 0, "anni": 2, "antialias": 0, "ap": 0, "api": 2, "append": [0, 2], "appli": 2, "april": 2, "ar": 2, "arg": 0, "argument": [0, 2], "arial": 2, "ariel": 0, "arna": 1, "arpiar": 0, "arrowpatch": 0, "arrowprop": 0, "arrowstyl": 0, "artist": 0, "ascend": 2, "assign": 2, "astyp": 2, "atla": 0, "atrai": 0, "attributeerror": 0, "author": [0, 1, 2], "authors_pct_chang": 2, "autoalign": 0, "avail": 2, "avoid_self": 0, "ax": 0, "b": [0, 2], "back": 2, "backcompat": 0, "backend": 0, "balderrama": 0, "bao": 0, "barbacioru": [0, 1], "base_famili": 2, "basu": 0, "bc": [0, 2], "below": 1, "benjamin": 0, "beth": 0, "biol": 0, "biorxiv": [0, 1, 2], "biorxiv_over_tim": 2, "biyu": 0, "black": [0, 2], "bladder": 0, "blood": [0, 2], "bmc": 1, "bmcgenom": 1, "bone": [0, 2], "bool": 2, "bottom": 0, "brain": [0, 2], "brainimagelibrari": 2, "break": [0, 2], "break_": 0, "breakdown": 2, "breaker": 0, "brian": 2, "britt": 0, "buf": 0, "build": 0, "bx_frac": 2, "bytesio": 0, "c": [0, 2], "c0": 2, "c1": 2, "c2": 2, "c3": 2, "c4": 2, "ca": 0, "cacchiarelli": 0, "calci": 2, "call": [0, 2], "callabl": 0, "can": 2, "cao": [0, 1], "capstyl": 0, "captur": 0, "cat": 2, "catalin": [0, 1], "categor": 2, "categori": [0, 2], "cel": 0, "cell": 0, "cells_per_month": 2, "cells_per_studi": 2, "celrep": 0, "chang": 2, "character": 0, "check": 2, "chen": 0, "chengxiang": 0, "chloe": 0, "chr": 1, "christina": 0, "chromium": 2, "circuit": 0, "cl": 0, "clr": 2, "cluster": [0, 1, 2], "clustering_over_tim": 2, "clusters_per_cel": 2, "clusters_per_cells_by_tissu": 2, "code": 1, "col": 1, "col_charact": 1, "col_doubl": 1, "col_numb": 1, "color": [0, 2], "colorconvert": 2, "colorsi": 2, "column": [0, 1, 2], "com": 0, "combinatori": 0, "comma_format": 0, "common": 2, "commun": [0, 2], "complet": 1, "composit": 0, "concat": 2, "config": [0, 2], "connectionstyl": 0, "contain": 0, "contrast": [0, 1, 2], "convert": 2, "coord": 0, "coordin": 0, "copi": [1, 2], "core": 0, "count": 2, "cp": 1, "cr": 0, "creat": 0, "crispr": 0, "csc": 0, "cts_": 2, "cultur": [0, 2], "curat": [1, 2], "current": 2, "cycl": 0, "d": [0, 2], "dai": 0, "data": [0, 1, 2], "data_scal": 2, "data_snapshot_2019": 1, "databas": 1, "datafram": [0, 2], "dataset": 2, "date": [0, 1, 2], "date_break": 2, "date_format": 2, "datetim": 0, "david": 0, "dbl": 1, "dcell": 2, "decemb": 2, "def": [0, 2], "default": [1, 2], "deferred_pprint": 0, "deferred_print": 0, "dejavu": 2, "delim": 1, "deng": 0, "deposit": [0, 2], "deprec": 0, "deriv": 0, "dev": 0, "devcel": 2, "development": [0, 1, 2], "df": [0, 2], "df_": 2, "dian": 2, "diana": 0, "dictionari": 2, "did_biorxiv": 2, "differ": [1, 2], "differenti": 0, "digit": 0, "dilut": 0, "direct": 0, "diseas": [0, 2], "displai": [0, 2], "display_dist": 0, "display_func": 0, "dissect": 0, "divers": [0, 2], "divya": 0, "dixit": 0, "do": 2, "doi": [0, 1, 2], "doubing_tim": 2, "doubling_tim": 2, "download": 2, "dpi": 0, "draw": 0, "draw_group": 0, "draw_lay": 0, "draw_panel": 0, "drop": [0, 2], "dropna": 2, "dt": 2, "dtype": [0, 2], "dynam": 0, "e": 0, "each": [0, 2], "edgecolor": 0, "eichhorn": 2, "elegan": 0, "els": 0, "embryo": [0, 2], "embryon": 0, "end": 2, "ensure_inside_ax": 0, "entri": 2, "enumer": 0, "errfmt": 0, "error": 0, "esumi": 1, "et": [0, 1, 2], "eun": 2, "evan": 0, "exampl": 1, "exclude_tissu": 2, "expand": 0, "expand_ax": 0, "expand_point": 0, "expand_text": 0, "explod": 2, "explode_radiu": 0, "express": 0, "ey": [0, 2], "f": 0, "fac": 0, "facecolor": 0, "facet_wrap": 2, "fall": 2, "fals": [0, 2], "famili": 2, "fan": 0, "fancyarrowpatch": 0, "februari": 2, "fetal": 0, "fig": [0, 2], "fig_kwarg": 0, "figur": [0, 1, 2], "figure_format": [0, 2], "figure_s": [0, 2], "file": [0, 1], "filenam": 0, "fill": [0, 2], "fillna": 2, "filterwarn": 2, "final": 0, "find": 0, "findfont": 2, "fischer": 2, "fit": 2, "float": [0, 2], "float64": 2, "florian": 0, "flush": 0, "folder": 2, "follow": 2, "font": 2, "font_manag": 2, "force_explod": 0, "force_pul": 0, "force_stat": 0, "force_text": 0, "format": [0, 2], "formatt": [0, 2], "formula": 2, "found": 2, "fr": 1, "fraction": 2, "from": [0, 2], "ftp": 2, "fu": 0, "fuchou": [0, 1], "full": 1, "func": 0, "function": 0, "futur": 0, "futurewarn": 0, "g": [0, 1], "gdata": 0, "ge": 1, "gen": 0, "gene": 0, "gener": [0, 1], "genet": 0, "genom": 0, "geo": 1, "geom": 0, "geom_bar": 2, "geom_lin": 2, "geom_point": [0, 2], "geom_text": 0, "georgi": 2, "get": [0, 2], "get_coeff_pv": 2, "get_display_funct": 0, "get_real_method": 0, "get_regression_coeff": 2, "getattr": 0, "getvalu": 0, "ggplot": [0, 2], "gilchrist": 1, "gioel": 0, "github": 1, "gkl050": 1, "gland": 0, "glenn": 0, "googleapi": 0, "got": [0, 2], "gr": 0, "grace": 0, "grei": 2, "group": [0, 2], "groupbi": [0, 2], "gse14605": 1, "gse4309": 1, "gt": [0, 2], "guo": 0, "h": [0, 2], "h5ad": [0, 1, 2], "ha": [0, 2], "han": 0, "handle_na": 0, "hannah": 0, "hashimshoni": 0, "hatch": 0, "have": 0, "he": 2, "head": [1, 2], "heart": [0, 2], "height": 0, "hex_color": 2, "highli": 0, "hls_to_rgb": 2, "hongshan": 0, "hostedtoolcach": 0, "http": [0, 1, 2], "human": [0, 2], "i": [0, 1, 2], "ian": [0, 1], "id": [0, 2], "ident": 2, "idx": 2, "ifc": 0, "ignor": 2, "iloc": 2, "imag": 0, "immun": [0, 2], "immuni": 2, "impact": 0, "import": [0, 1, 2], "index": [0, 2], "individu": 0, "indrop": 2, "inf": 2, "inlin": [0, 2], "inlinebackend": [0, 2], "inplac": 0, "instead": 0, "instruct": 1, "int": 2, "int64": 2, "interact": 0, "intestin": 0, "io": [1, 2], "ipython": 0, "ipythondisplayformatt": 0, "is_inline_backend": 0, "islam": 0, "isol": [0, 1, 2], "iter_lim": 0, "iterrow": 0, "j": [0, 1, 2], "jaitin": 0, "januari": 2, "jason": 1, "jenni": 0, "jeong": 2, "jessica": 0, "jiang": 0, "joinstyl": 0, "jonah": 0, "joost": 0, "jost": 0, "journal": [0, 1, 2], "junyu": 0, "just": 0, "justin": 2, "k": [0, 1, 2], "karol": 0, "kenigsberg": 0, "keren": 0, "keyword": 0, "kib": 1, "kidnei": [0, 2], "kind": 2, "kjallquist": 0, "kur": 1, "kurimoto": 1, "kwarg": 0, "l": [0, 1, 2], "lab": [0, 2], "label": [0, 2], "lack": 0, "lambda": 2, "landscap": 0, "langlieb": 0, "laps": 0, "last": [0, 2], "layer": 0, "layout": 0, "lcm": 1, "le": 2, "len": 0, "li": 0, "lib": 0, "librari": [0, 1], "light": 2, "lighten": 2, "lightgrei": 0, "lii": 0, "liji": 0, "limit": 0, "limits": 0, "line": [0, 2], "linestyl": 0, "linewidth": 0, "list": 2, "liver": 0, "lm": 2, "loc": 0, "locat": [0, 1, 2], "log": 2, "log10": 2, "look": 2, "lot": 2, "lu": 0, "luan": 2, "lung": [0, 2], "lw": 0, "m": [0, 1, 2], "m_idx": 2, "macaqu": 2, "macosko": 0, "madr": 0, "magali": 0, "mai": 2, "main": 0, "maintain": 0, "make": 2, "malt": 0, "manual": [0, 1], "manuscript": [1, 2], "map": [0, 2], "mar": 0, "march": 2, "marco": 0, "marrow": [0, 2], "martin": 0, "massiv": 0, "matplotlib": [0, 2], "matplotlibdeprecationwarn": 2, "max_seq_length": 0, "max_width": 0, "me": 1, "mean": [0, 2], "measur": [0, 1, 2], "median": 2, "median_rna_df": 2, "meng": 2, "merfish": 2, "merg": 2, "meth": [0, 1], "method": [0, 2], "michael": 1, "microwel": 0, "min_arrow_len": 0, "mingyu": 0, "miss": 0, "mizani": [0, 2], "mo": 0, "mode": 1, "modul": 2, "mol": 0, "molecular": [0, 2], "molin": 0, "month": 2, "monthli": 2, "monthly_stat": 2, "more": 1, "most": [0, 2], "mous": [0, 2], "mpl_save_view": 0, "mplcol": 2, "mrna": [0, 1], "msg": 0, "multipl": 2, "multiplex": 0, "muscl": 0, "must": 0, "mutation_aspect": 0, "mutation_scal": 0, "n": 0, "na": 1, "name": 2, "namespac": 0, "nan": [0, 1, 2], "nanodroplet": 0, "nar": 1, "nat": [0, 1, 2], "natur": [0, 2], "ncol": 2, "ncomm": 0, "ncomms14049": 0, "neur": 1, "neuro": 1, "neuron": 1, "new_color": 2, "newest": 2, "newlin": 0, "niederrit": 2, "nina": 0, "nmeth": [0, 1], "noa": 0, "none": [0, 2], "normal": [0, 2], "norman": 0, "notebook": 1, "novemb": 2, "np": 2, "nper": 2, "nresearch": 1, "nsmb": 0, "nuclei": 1, "number": [0, 1, 2], "numpi": [0, 2], "nuniqu": 2, "nxn": [0, 1, 2], "o": 0, "obj": 0, "object": [0, 1], "obtain": 1, "ol": 2, "onc": 2, "onli": 2, "only_mov": 0, "onto": 0, "oocyt": 0, "oper": 1, "opt": 0, "option": [0, 2], "order": 2, "oren": 0, "org": 2, "organ": [0, 1, 2], "organoid": 2, "other": 2, "out": 1, "output": 0, "over": [1, 2], "p": [0, 2], "p_": 2, "packag": 0, "palett": 2, "pancrea": 2, "panda": [0, 1, 2], "panel": [0, 1, 2], "panel_param": 0, "panoram": 0, "parallel": 0, "param": [0, 2], "park": 2, "parna": 0, "pars": 1, "pass": 0, "patch": 0, "patcha": 0, "patchb": 0, "path": 0, "pca": [0, 1, 2], "pcr": 1, "pct_chang": 2, "pd": [0, 1, 2], "pdata": 0, "pdf": 2, "peng": 2, "per": [0, 2], "per_month": 2, "perfom": 2, "perform": 2, "perturb": 0, "phillip": 0, "pick": [0, 1], "picowel": 0, "pipe": [0, 2], "pipet": [0, 1], "pivot": 2, "pla": 0, "plaintextformatt": 0, "platform": 1, "pliner": 0, "ploc": 0, "plot": 2, "plot_context": 0, "plotnin": [0, 2], "plotninewarn": 0, "png": 0, "point": 0, "polymorph": 0, "popul": 0, "posa": 0, "posb": 0, "post": 2, "pprint": 0, "pre": 2, "predict": 2, "predict_number_celltyp": 2, "prefer": 0, "preimpl": 0, "prenat": 0, "prenorm": 0, "preprint": 2, "pretti": 0, "print": [0, 2], "print_method": 0, "printer": 0, "pro": 0, "proce": 1, "process": 0, "produc": 2, "profil": 0, "profili": 0, "programat": 1, "project": 2, "prop": 0, "prop_nam": 0, "properti": 0, "proportion": 2, "pseudoanalysi": 2, "pseudotim": [0, 1, 2], "pseudotime_over_tim": 2, "public": 0, "publish": 2, "pull_threshold": 0, "pvalu": 2, "py": 0, "pylab": [0, 2], "python": 0, "python3": 0, "q": [0, 2], "qcut": 2, "qiu": 0, "quantit": 0, "queri": [0, 2], "r": [0, 2], "rahul": 0, "rais": 0, "ramskold": 0, "random": 0, "rc_context": 0, "read_csv": [0, 1, 2], "read_delim": 1, "readr": 1, "recent": [0, 2], "reciproc": 2, "red": 2, "redirect": 0, "reiniu": 0, "remain": 2, "remov": 0, "renam": 2, "reni": 0, "replac": [0, 2], "report": [0, 1, 2], "repositori": 2, "repr": 0, "representationprint": 0, "request": 2, "requir": 0, "resampl": 2, "research": 0, "reset_index": [0, 2], "ret": 0, "retina": [0, 2], "return": [0, 2], "reveal": [0, 1, 2], "rgb": 2, "rgb_to_hl": 2, "right": 0, "rihel": 1, "rna": [0, 1, 2], "rna_df": 2, "ro": 0, "robert": 0, "rodriqu": 0, "round": 0, "row": [0, 1], "run": 2, "s0896": 1, "s41467": 2, "s41586": 0, "sachdev": 0, "saiful": 0, "samuel": 0, "san": 2, "sandberg": 0, "sar": 2, "satija": 0, "saunder": 0, "save": [0, 2], "save_format": 0, "save_help": 0, "savefig": 0, "sc": 0, "scalabl": 0, "scale_color_manu": 2, "scale_fill_brew": 2, "scale_fill_manu": 2, "scale_x_datetim": [0, 2], "scale_x_log10": 2, "scale_y_log10": [0, 2], "schaefer": 0, "schmeidel": 0, "schmiedel": 0, "scienc": [0, 2], "scp301": 0, "screen": 0, "scrnaseq_studi": 2, "se": [0, 1, 2], "see": 1, "self": 0, "sep": [0, 1, 2], "seq": [0, 2], "seq2": 2, "sequenc": 2, "set": 0, "set_": 0, "set_joinstyl": 0, "set_posit": 0, "setdefault": 0, "setup": 0, "shami": 2, "shape": [0, 2], "shaul": 0, "sheng": 1, "sher": 0, "shigei": 1, "shigeyuki": 1, "shorthand": [0, 1, 2], "should": 0, "show": 0, "shrinka": 0, "shrinkb": 0, "simon": 0, "sin": 0, "sing": 1, "singh": 0, "singl": 0, "singleton_pprint": 0, "singleton_print": 0, "siqin": 0, "site": 0, "situ": 2, "size": [0, 1, 2], "skin": 2, "slide": 0, "sm": [1, 2], "smart": 2, "smarter": 2, "smf": 2, "sort": 0, "sort_index": 2, "sort_valu": [0, 2], "soumillon": 0, "sourc": [0, 1, 2], "space": 2, "spatial": [0, 2], "spec": 1, "special": 0, "specif": 1, "spielmann": 0, "spleen": [0, 2], "split": 2, "splitlin": 0, "stacklevel": 0, "stage": [0, 1, 2], "start": 0, "stat": 2, "stat_smooth": 2, "statist": 2, "statsmodel": 2, "stefan": 0, "stem": [0, 2], "stephen": [0, 2], "stickel": 0, "sto": 0, "storag": 0, "str": [0, 2], "stream": 0, "strftime": 2, "string": 2, "stringio": 0, "struct": 0, "studi": 0, "studies_over_tim": 2, "studies_per_month": 2, "subkhank": 1, "subkhankulova": 1, "subset": 2, "sul": 1, "sum": 2, "summary_t": 2, "super": [0, 1], "support": 2, "surgic": 2, "sv": 0, "t": [0, 1, 2], "t_": 2, "t_dict": 2, "tabl": 2, "tail": [1, 2], "take": 2, "tamar": 0, "tang": [0, 1], "target": 0, "target_i": 0, "target_x": 0, "tatian": 1, "tatiana": 1, "tdf": 2, "tech": 2, "techniqu": [0, 1, 2], "techniques_over_tim": 2, "technologi": [0, 2], "terri": 0, "test": 2, "testi": 2, "text": 0, "text_mid": 0, "them": 0, "theme": 0, "theme_minim": [0, 2], "thi": [0, 2], "thoma": 0, "thymopoi": 2, "ti": 1, "tibbl": 1, "tidyvers": 1, "tietjen": 1, "time": 2, "time_lim": 0, "timestamp": 2, "tissu": [0, 1, 2], "tissue_": 2, "titl": [0, 1, 2], "to_datetim": [0, 2], "to_excel": 2, "to_fram": 2, "to_rgb": 2, "top": 2, "top_journ": 2, "top_tissu": 2, "total": [0, 1, 2], "trace": 0, "traceback": [0, 2], "tran": 1, "transcript": 0, "transcriptom": [0, 1, 2], "trend": [1, 2], "trigger": 2, "trout": 2, "true": [0, 2], "tsne": [0, 1, 2], "tsne_over_tim": 2, "tsv": [0, 1, 2], "tumor": 2, "type": [0, 1, 2], "type_pprint": 0, "type_print": 0, "typeerror": 2, "u": 0, "unexpect": 0, "uniqu": [0, 2], "unique_author": 2, "unit": 0, "unknown": 2, "updat": 0, "url": 2, "us": [0, 2], "user": 0, "v": [0, 2], "v0": 2, "va": 0, "val": [1, 2], "valu": [0, 2], "value_count": 2, "variabl": 1, "veloc": [0, 1, 2], "verbos": 0, "version": 0, "vi": 2, "view": 0, "w": [0, 2], "wagner": 0, "wang": [0, 1], "warn": [0, 2], "weirong": 0, "welsh": 0, "when": 0, "who": 2, "whole": [0, 2], "wide": 0, "width": 0, "william": 2, "wit": 0, "without": 0, "wu": 1, "www": [1, 2], "wysok": 0, "x": [0, 1, 2], "x64": 0, "xi": 1, "xian": 2, "xiaoji": 0, "xiaop": 0, "xing": 0, "xlsx": 2, "y": [0, 1, 2], "yan": 0, "yanagawa": 1, "yang": 0, "yangzhou": [0, 1], "yanxiang": 1, "ye": [0, 2], "year": 2, "yincong": 0, "yuchio": 1, "z": 0, "zajac": 0, "zehao": 0, "zeisel": 0, "zhang": [0, 2], "zheng": [0, 2], "zhou": 0, "zi": 0, "zingg": 2, "zorder": 0}, "titles": ["Make plot highlighting record datasets over time", "single-cell-studies", "Example analysis notebook - single cell studies database"], "titleterms": {"With": 1, "access": 1, "analysi": 2, "cell": [1, 2], "databas": 2, "dataset": 0, "exampl": 2, "gsutil": 1, "highlight": 0, "make": 0, "notebook": 2, "over": 0, "plot": 0, "python": 1, "r": 1, "record": 0, "singl": [1, 2], "snapshot": 1, "studi": [1, 2], "time": 0}}) \ No newline at end of file