PNG  IHDRX cHRMz&u0`:pQ<bKGD pHYsodtIME MeqIDATxw]Wug^Qd˶ 6`!N:!@xI~)%7%@Bh&`lnjVF29gΨ4E$|>cɚ{gk= %,a KX%,a KX%,a KX%,a KX%,a KX%,a KX%, b` ǟzeאfp]<!SJmɤY޲ڿ,%c ~ع9VH.!Ͳz&QynֺTkRR.BLHi٪:l;@(!MԴ=žI,:o&N'Kù\vRmJ雵֫AWic H@" !: Cé||]k-Ha oݜ:y F())u]aG7*JV@J415p=sZH!=!DRʯvɱh~V\}v/GKY$n]"X"}t@ xS76^[bw4dsce)2dU0 CkMa-U5tvLƀ~mlMwfGE/-]7XAƟ`׮g ewxwC4\[~7@O-Q( a*XGƒ{ ՟}$_y3tĐƤatgvێi|K=uVyrŲlLӪuܿzwk$m87k( `múcE)"@rK( z4$D; 2kW=Xb$V[Ru819קR~qloѱDyįݎ*mxw]y5e4K@ЃI0A D@"BDk_)N\8͜9dz"fK0zɿvM /.:2O{ Nb=M=7>??Zuo32 DLD@D| &+֎C #B8ַ`bOb $D#ͮҪtx]%`ES`Ru[=¾!@Od37LJ0!OIR4m]GZRJu$‡c=%~s@6SKy?CeIh:[vR@Lh | (BhAMy=݃  G"'wzn޺~8ԽSh ~T*A:xR[ܹ?X[uKL_=fDȊ؂p0}7=D$Ekq!/t.*2ʼnDbŞ}DijYaȲ(""6HA;:LzxQ‘(SQQ}*PL*fc\s `/d'QXW, e`#kPGZuŞuO{{wm[&NBTiiI0bukcA9<4@SӊH*؎4U/'2U5.(9JuDfrޱtycU%j(:RUbArLֺN)udA':uGQN"-"Is.*+k@ `Ojs@yU/ H:l;@yyTn}_yw!VkRJ4P)~y#)r,D =ě"Q]ci'%HI4ZL0"MJy 8A{ aN<8D"1#IJi >XjX֔#@>-{vN!8tRݻ^)N_╗FJEk]CT՟ YP:_|H1@ CBk]yKYp|og?*dGvzنzӴzjֺNkC~AbZƷ`.H)=!QͷVTT(| u78y֮}|[8-Vjp%2JPk[}ԉaH8Wpqhwr:vWª<}l77_~{s۴V+RCģ%WRZ\AqHifɤL36: #F:p]Bq/z{0CU6ݳEv_^k7'>sq*+kH%a`0ԣisqにtү04gVgW΂iJiS'3w.w}l6MC2uԯ|>JF5`fV5m`Y**Db1FKNttu]4ccsQNnex/87+}xaUW9y>ͯ骵G{䩓Գ3+vU}~jJ.NFRD7<aJDB1#ҳgSb,+CS?/ VG J?|?,2#M9}B)MiE+G`-wo߫V`fio(}S^4e~V4bHOYb"b#E)dda:'?}׮4繏`{7Z"uny-?ǹ;0MKx{:_pÚmFמ:F " .LFQLG)Q8qN q¯¯3wOvxDb\. BKD9_NN &L:4D{mm o^tֽ:q!ƥ}K+<"m78N< ywsard5+Š²z~mnG)=}lYݧNj'QJS{S :UYS-952?&O-:W}(!6Mk4+>A>j+i|<<|;ر^߉=HE|V#F)Emm#}/"y GII웻Jі94+v뾧xu~5C95~ūH>c@덉pʃ1/4-A2G%7>m;–Y,cyyaln" ?ƻ!ʪ<{~h~i y.zZB̃/,雋SiC/JFMmBH&&FAbϓO^tubbb_hZ{_QZ-sύodFgO(6]TJA˯#`۶ɟ( %$&+V'~hiYy>922 Wp74Zkq+Ovn錄c>8~GqܲcWꂎz@"1A.}T)uiW4="jJ2W7mU/N0gcqܗOO}?9/wìXžΏ0 >֩(V^Rh32!Hj5`;O28؇2#ݕf3 ?sJd8NJ@7O0 b־?lldщ̡&|9C.8RTWwxWy46ah嘦mh٤&l zCy!PY?: CJyв]dm4ǜҐR޻RլhX{FƯanшQI@x' ao(kUUuxW_Ñ줮[w8 FRJ(8˼)_mQ _!RJhm=!cVmm ?sFOnll6Qk}alY}; "baӌ~M0w,Ggw2W:G/k2%R,_=u`WU R.9T"v,<\Ik޽/2110Ӿxc0gyC&Ny޽JҢrV6N ``یeA16"J³+Rj*;BϜkZPJaÍ<Jyw:NP8/D$ 011z֊Ⱳ3ι֘k1V_"h!JPIΣ'ɜ* aEAd:ݺ>y<}Lp&PlRfTb1]o .2EW\ͮ]38؋rTJsǏP@芎sF\> P^+dYJLbJ C-xϐn> ι$nj,;Ǖa FU *择|h ~izť3ᤓ`K'-f tL7JK+vf2)V'-sFuB4i+m+@My=O҈0"|Yxoj,3]:cо3 $#uŘ%Y"y죯LebqtҢVzq¼X)~>4L׶m~[1_k?kxֺQ`\ |ٛY4Ѯr!)N9{56(iNq}O()Em]=F&u?$HypWUeB\k]JɩSع9 Zqg4ZĊo oMcjZBU]B\TUd34ݝ~:7ڶSUsB0Z3srx 7`:5xcx !qZA!;%͚7&P H<WL!džOb5kF)xor^aujƍ7 Ǡ8/p^(L>ὴ-B,{ۇWzֺ^k]3\EE@7>lYBȝR.oHnXO/}sB|.i@ɥDB4tcm,@ӣgdtJ!lH$_vN166L__'Z)y&kH;:,Y7=J 9cG) V\hjiE;gya~%ks_nC~Er er)muuMg2;֫R)Md) ,¶ 2-wr#F7<-BBn~_(o=KO㭇[Xv eN_SMgSҐ BS헃D%g_N:/pe -wkG*9yYSZS.9cREL !k}<4_Xs#FmҶ:7R$i,fi!~' # !6/S6y@kZkZcX)%5V4P]VGYq%H1!;e1MV<!ϐHO021Dp= HMs~~a)ަu7G^];git!Frl]H/L$=AeUvZE4P\.,xi {-~p?2b#amXAHq)MWǾI_r`S Hz&|{ +ʖ_= (YS(_g0a03M`I&'9vl?MM+m~}*xT۲(fY*V4x@29s{DaY"toGNTO+xCAO~4Ϳ;p`Ѫ:>Ҵ7K 3}+0 387x\)a"/E>qpWB=1 ¨"MP(\xp߫́A3+J] n[ʼnӼaTbZUWb={~2ooKױӰp(CS\S筐R*JغV&&"FA}J>G֐p1ٸbk7 ŘH$JoN <8s^yk_[;gy-;߉DV{c B yce% aJhDȶ 2IdйIB/^n0tNtџdcKj4϶v~- CBcgqx9= PJ) dMsjpYB] GD4RDWX +h{y`,3ꊕ$`zj*N^TP4L:Iz9~6s) Ga:?y*J~?OrMwP\](21sZUD ?ܟQ5Q%ggW6QdO+\@ ̪X'GxN @'4=ˋ+*VwN ne_|(/BDfj5(Dq<*tNt1х!MV.C0 32b#?n0pzj#!38}޴o1KovCJ`8ŗ_"]] rDUy޲@ Ȗ-;xџ'^Y`zEd?0„ DAL18IS]VGq\4o !swV7ˣι%4FѮ~}6)OgS[~Q vcYbL!wG3 7띸*E Pql8=jT\꘿I(z<[6OrR8ºC~ډ]=rNl[g|v TMTղb-o}OrP^Q]<98S¤!k)G(Vkwyqyr޽Nv`N/e p/~NAOk \I:G6]4+K;j$R:Mi #*[AȚT,ʰ,;N{HZTGMoּy) ]%dHء9Պ䠬|<45,\=[bƟ8QXeB3- &dҩ^{>/86bXmZ]]yޚN[(WAHL$YAgDKp=5GHjU&99v簪C0vygln*P)9^͞}lMuiH!̍#DoRBn9l@ xA/_v=ȺT{7Yt2N"4!YN`ae >Q<XMydEB`VU}u]嫇.%e^ánE87Mu\t`cP=AD/G)sI"@MP;)]%fH9'FNsj1pVhY&9=0pfuJ&gޤx+k:!r˭wkl03׼Ku C &ѓYt{.O.zҏ z}/tf_wEp2gvX)GN#I ݭ߽v/ .& и(ZF{e"=V!{zW`, ]+LGz"(UJp|j( #V4, 8B 0 9OkRrlɱl94)'VH9=9W|>PS['G(*I1==C<5"Pg+x'K5EMd؞Af8lG ?D FtoB[je?{k3zQ vZ;%Ɠ,]E>KZ+T/ EJxOZ1i #T<@ I}q9/t'zi(EMqw`mYkU6;[t4DPeckeM;H}_g pMww}k6#H㶏+b8雡Sxp)&C $@'b,fPߑt$RbJ'vznuS ~8='72_`{q纶|Q)Xk}cPz9p7O:'|G~8wx(a 0QCko|0ASD>Ip=4Q, d|F8RcU"/KM opKle M3#i0c%<7׿p&pZq[TR"BpqauIp$ 8~Ĩ!8Սx\ւdT>>Z40ks7 z2IQ}ItԀ<-%S⍤};zIb$I 5K}Q͙D8UguWE$Jh )cu4N tZl+[]M4k8֦Zeq֮M7uIqG 1==tLtR,ƜSrHYt&QP윯Lg' I,3@P'}'R˪e/%-Auv·ñ\> vDJzlӾNv5:|K/Jb6KI9)Zh*ZAi`?S {aiVDԲuy5W7pWeQJk֤#5&V<̺@/GH?^τZL|IJNvI:'P=Ϛt"¨=cud S Q.Ki0 !cJy;LJR;G{BJy޺[^8fK6)=yʊ+(k|&xQ2`L?Ȓ2@Mf 0C`6-%pKpm')c$׻K5[J*U[/#hH!6acB JA _|uMvDyk y)6OPYjœ50VT K}cǻP[ $:]4MEA.y)|B)cf-A?(e|lɉ#P9V)[9t.EiQPDѠ3ϴ;E:+Օ t ȥ~|_N2,ZJLt4! %ա]u {+=p.GhNcŞQI?Nd'yeh n7zi1DB)1S | S#ًZs2|Ɛy$F SxeX{7Vl.Src3E℃Q>b6G ўYCmtկ~=K0f(=LrAS GN'ɹ9<\!a`)֕y[uՍ[09` 9 +57ts6}b4{oqd+J5fa/,97J#6yν99mRWxJyѡyu_TJc`~W>l^q#Ts#2"nD1%fS)FU w{ܯ R{ ˎ󅃏џDsZSQS;LV;7 Od1&1n$ N /.q3~eNɪ]E#oM~}v֯FڦwyZ=<<>Xo稯lfMFV6p02|*=tV!c~]fa5Y^Q_WN|Vs 0ҘދU97OI'N2'8N֭fgg-}V%y]U4 峧p*91#9U kCac_AFңĪy뚇Y_AiuYyTTYЗ-(!JFLt›17uTozc. S;7A&&<ԋ5y;Ro+:' *eYJkWR[@F %SHWP 72k4 qLd'J "zB6{AC0ƁA6U.'F3:Ȅ(9ΜL;D]m8ڥ9}dU "v!;*13Rg^fJyShyy5auA?ɩGHRjo^]׽S)Fm\toy 4WQS@mE#%5ʈfFYDX ~D5Ϡ9tE9So_aU4?Ѽm%&c{n>.KW1Tlb}:j uGi(JgcYj0qn+>) %\!4{LaJso d||u//P_y7iRJ߬nHOy) l+@$($VFIQ9%EeKʈU. ia&FY̒mZ=)+qqoQn >L!qCiDB;Y<%} OgBxB!ØuG)WG9y(Ą{_yesuZmZZey'Wg#C~1Cev@0D $a@˲(.._GimA:uyw֬%;@!JkQVM_Ow:P.s\)ot- ˹"`B,e CRtaEUP<0'}r3[>?G8xU~Nqu;Wm8\RIkբ^5@k+5(By'L&'gBJ3ݶ!/㮻w҅ yqPWUg<e"Qy*167΃sJ\oz]T*UQ<\FԎ`HaNmڜ6DysCask8wP8y9``GJ9lF\G g's Nn͵MLN֪u$| /|7=]O)6s !ĴAKh]q_ap $HH'\1jB^s\|- W1:=6lJBqjY^LsPk""`]w)󭃈,(HC ?䔨Y$Sʣ{4Z+0NvQkhol6C.婧/u]FwiVjZka&%6\F*Ny#8O,22+|Db~d ~Çwc N:FuuCe&oZ(l;@ee-+Wn`44AMK➝2BRՈt7g*1gph9N) *"TF*R(#'88pm=}X]u[i7bEc|\~EMn}P瘊J)K.0i1M6=7'_\kaZ(Th{K*GJyytw"IO-PWJk)..axӝ47"89Cc7ĐBiZx 7m!fy|ϿF9CbȩV 9V-՛^pV̌ɄS#Bv4-@]Vxt-Z, &ֺ*diؠ2^VXbs֔Ìl.jQ]Y[47gj=幽ex)A0ip׳ W2[ᎇhuE^~q흙L} #-b۸oFJ_QP3r6jr+"nfzRJTUqoaۍ /$d8Mx'ݓ= OՃ| )$2mcM*cЙj}f };n YG w0Ia!1Q.oYfr]DyISaP}"dIӗթO67jqR ҊƐƈaɤGG|h;t]䗖oSv|iZqX)oalv;۩meEJ\!8=$4QU4Xo&VEĊ YS^E#d,yX_> ۘ-e\ "Wa6uLĜZi`aD9.% w~mB(02G[6y.773a7 /=o7D)$Z 66 $bY^\CuP. (x'"J60׿Y:Oi;F{w佩b+\Yi`TDWa~|VH)8q/=9!g߆2Y)?ND)%?Ǐ`k/sn:;O299yB=a[Ng 3˲N}vLNy;*?x?~L&=xyӴ~}q{qE*IQ^^ͧvü{Huu=R|>JyUlZV, B~/YF!Y\u_ݼF{_C)LD]m {H 0ihhadd nUkf3oٺCvE\)QJi+֥@tDJkB$1!Đr0XQ|q?d2) Ӣ_}qv-< FŊ߫%roppVBwü~JidY4:}L6M7f٬F "?71<2#?Jyy4뷢<_a7_=Q E=S1И/9{+93֮E{ǂw{))?maÆm(uLE#lïZ  ~d];+]h j?!|$F}*"4(v'8s<ŏUkm7^7no1w2ؗ}TrͿEk>p'8OB7d7R(A 9.*Mi^ͳ; eeUwS+C)uO@ =Sy]` }l8^ZzRXj[^iUɺ$tj))<sbDJfg=Pk_{xaKo1:-uyG0M ԃ\0Lvuy'ȱc2Ji AdyVgVh!{]/&}}ċJ#%d !+87<;qN޼Nفl|1N:8ya  8}k¾+-$4FiZYÔXk*I&'@iI99)HSh4+2G:tGhS^繿 Kتm0 вDk}֚+QT4;sC}rՅE,8CX-e~>G&'9xpW,%Fh,Ry56Y–hW-(v_,? ; qrBk4-V7HQ;ˇ^Gv1JVV%,ik;D_W!))+BoS4QsTM;gt+ndS-~:11Sgv!0qRVh!"Ȋ(̦Yl.]PQWgٳE'`%W1{ndΗBk|Ž7ʒR~,lnoa&:ü$ 3<a[CBݮwt"o\ePJ=Hz"_c^Z.#ˆ*x z̝grY]tdkP*:97YľXyBkD4N.C_[;F9`8& !AMO c `@BA& Ost\-\NX+Xp < !bj3C&QL+*&kAQ=04}cC!9~820G'PC9xa!w&bo_1 Sw"ܱ V )Yl3+ס2KoXOx]"`^WOy :3GO0g;%Yv㐫(R/r (s } u B &FeYZh0y> =2<Ϟc/ -u= c&׭,.0"g"7 6T!vl#sc>{u/Oh Bᾈ)۴74]x7 gMӒ"d]U)}" v4co[ ɡs 5Gg=XR14?5A}D "b{0$L .\4y{_fe:kVS\\O]c^W52LSBDM! C3Dhr̦RtArx4&agaN3Cf<Ԉp4~ B'"1@.b_/xQ} _߃҉/gٓ2Qkqp0շpZ2fԫYz< 4L.Cyυι1t@鎫Fe sYfsF}^ V}N<_`p)alٶ "(XEAVZ<)2},:Ir*#m_YӼ R%a||EƼIJ,,+f"96r/}0jE/)s)cjW#w'Sʯ5<66lj$a~3Kʛy 2:cZ:Yh))+a߭K::N,Q F'qB]={.]h85C9cr=}*rk?vwV렵ٸW Rs%}rNAkDv|uFLBkWY YkX מ|)1!$#3%y?pF<@<Rr0}: }\J [5FRxY<9"SQdE(Q*Qʻ)q1E0B_O24[U'],lOb ]~WjHޏTQ5Syu wq)xnw8~)c 쫬gٲߠ H% k5dƝk> kEj,0% b"vi2Wس_CuK)K{n|>t{P1򨾜j>'kEkƗBg*H%'_aY6Bn!TL&ɌOb{c`'d^{t\i^[uɐ[}q0lM˕G:‚4kb祔c^:?bpg… +37stH:0}en6x˟%/<]BL&* 5&fK9Mq)/iyqtA%kUe[ڛKN]Ě^,"`/ s[EQQm?|XJ߅92m]G.E΃ח U*Cn.j_)Tѧj̿30ڇ!A0=͜ar I3$C^-9#|pk!)?7.x9 @OO;WƝZBFU keZ75F6Tc6"ZȚs2y/1 ʵ:u4xa`C>6Rb/Yм)^=+~uRd`/|_8xbB0?Ft||Z\##|K 0>>zxv8۴吅q 8ĥ)"6>~\8:qM}#͚'ĉ#p\׶ l#bA?)|g g9|8jP(cr,BwV (WliVxxᡁ@0Okn;ɥh$_ckCgriv}>=wGzβ KkBɛ[˪ !J)h&k2%07δt}!d<9;I&0wV/ v 0<H}L&8ob%Hi|޶o&h1L|u֦y~󛱢8fٲUsւ)0oiFx2}X[zVYr_;N(w]_4B@OanC?gĦx>мgx>ΛToZoOMp>40>V Oy V9iq!4 LN,ˢu{jsz]|"R޻&'ƚ{53ўFu(<٪9:΋]B;)B>1::8;~)Yt|0(pw2N%&X,URBK)3\zz&}ax4;ǟ(tLNg{N|Ǽ\G#C9g$^\}p?556]/RP.90 k,U8/u776s ʪ_01چ|\N 0VV*3H鴃J7iI!wG_^ypl}r*jɤSR 5QN@ iZ#1ٰy;_\3\BQQ x:WJv츟ٯ$"@6 S#qe딇(/P( Dy~TOϻ<4:-+F`0||;Xl-"uw$Цi󼕝mKʩorz"mϺ$F:~E'ҐvD\y?Rr8_He@ e~O,T.(ފR*cY^m|cVR[8 JҡSm!ΆԨb)RHG{?MpqrmN>߶Y)\p,d#xۆWY*,l6]v0h15M˙MS8+EdI='LBJIH7_9{Caз*Lq,dt >+~ّeʏ?xԕ4bBAŚjﵫ!'\Ը$WNvKO}ӽmSşذqsOy?\[,d@'73'j%kOe`1.g2"e =YIzS2|zŐƄa\U,dP;jhhhaxǶ?КZ՚.q SE+XrbOu%\GتX(H,N^~]JyEZQKceTQ]VGYqnah;y$cQahT&QPZ*iZ8UQQM.qo/T\7X"u?Mttl2Xq(IoW{R^ ux*SYJ! 4S.Jy~ BROS[V|žKNɛP(L6V^|cR7i7nZW1Fd@ Ara{詑|(T*dN]Ko?s=@ |_EvF]׍kR)eBJc" MUUbY6`~V޴dJKß&~'d3i WWWWWW

F1l3 Manager

Current Directory: /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass
/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/
Viewing File: /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/random.py
from __future__ import annotations from typing import Any import numpy as np SEED_NONE = None SEED_INT = 4579435749574957634658964293569 SEED_ARR: np.ndarray[Any, np.dtype[np.int64]] = np.array([1, 2, 3, 4], dtype=np.int64) SEED_ARRLIKE: list[int] = [1, 2, 3, 4] SEED_SEED_SEQ: np.random.SeedSequence = np.random.SeedSequence(0) SEED_MT19937: np.random.MT19937 = np.random.MT19937(0) SEED_PCG64: np.random.PCG64 = np.random.PCG64(0) SEED_PHILOX: np.random.Philox = np.random.Philox(0) SEED_SFC64: np.random.SFC64 = np.random.SFC64(0) # default rng np.random.default_rng() np.random.default_rng(SEED_NONE) np.random.default_rng(SEED_INT) np.random.default_rng(SEED_ARR) np.random.default_rng(SEED_ARRLIKE) np.random.default_rng(SEED_SEED_SEQ) np.random.default_rng(SEED_MT19937) np.random.default_rng(SEED_PCG64) np.random.default_rng(SEED_PHILOX) np.random.default_rng(SEED_SFC64) # Seed Sequence np.random.SeedSequence(SEED_NONE) np.random.SeedSequence(SEED_INT) np.random.SeedSequence(SEED_ARR) np.random.SeedSequence(SEED_ARRLIKE) # Bit Generators np.random.MT19937(SEED_NONE) np.random.MT19937(SEED_INT) np.random.MT19937(SEED_ARR) np.random.MT19937(SEED_ARRLIKE) np.random.MT19937(SEED_SEED_SEQ) np.random.PCG64(SEED_NONE) np.random.PCG64(SEED_INT) np.random.PCG64(SEED_ARR) np.random.PCG64(SEED_ARRLIKE) np.random.PCG64(SEED_SEED_SEQ) np.random.Philox(SEED_NONE) np.random.Philox(SEED_INT) np.random.Philox(SEED_ARR) np.random.Philox(SEED_ARRLIKE) np.random.Philox(SEED_SEED_SEQ) np.random.SFC64(SEED_NONE) np.random.SFC64(SEED_INT) np.random.SFC64(SEED_ARR) np.random.SFC64(SEED_ARRLIKE) np.random.SFC64(SEED_SEED_SEQ) seed_seq: np.random.bit_generator.SeedSequence = np.random.SeedSequence(SEED_NONE) seed_seq.spawn(10) seed_seq.generate_state(3) seed_seq.generate_state(3, "u4") seed_seq.generate_state(3, "uint32") seed_seq.generate_state(3, "u8") seed_seq.generate_state(3, "uint64") seed_seq.generate_state(3, np.uint32) seed_seq.generate_state(3, np.uint64) def_gen: np.random.Generator = np.random.default_rng() D_arr_0p1: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.1]) D_arr_0p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.5]) D_arr_0p9: np.ndarray[Any, np.dtype[np.float64]] = np.array([0.9]) D_arr_1p5: np.ndarray[Any, np.dtype[np.float64]] = np.array([1.5]) I_arr_10: np.ndarray[Any, np.dtype[np.int_]] = np.array([10], dtype=np.int_) I_arr_20: np.ndarray[Any, np.dtype[np.int_]] = np.array([20], dtype=np.int_) D_arr_like_0p1: list[float] = [0.1] D_arr_like_0p5: list[float] = [0.5] D_arr_like_0p9: list[float] = [0.9] D_arr_like_1p5: list[float] = [1.5] I_arr_like_10: list[int] = [10] I_arr_like_20: list[int] = [20] D_2D_like: list[list[float]] = [[1, 2], [2, 3], [3, 4], [4, 5.1]] D_2D: np.ndarray[Any, np.dtype[np.float64]] = np.array(D_2D_like) S_out: np.ndarray[Any, np.dtype[np.float32]] = np.empty(1, dtype=np.float32) D_out: np.ndarray[Any, np.dtype[np.float64]] = np.empty(1) def_gen.standard_normal() def_gen.standard_normal(dtype=np.float32) def_gen.standard_normal(dtype="float32") def_gen.standard_normal(dtype="double") def_gen.standard_normal(dtype=np.float64) def_gen.standard_normal(size=None) def_gen.standard_normal(size=1) def_gen.standard_normal(size=1, dtype=np.float32) def_gen.standard_normal(size=1, dtype="f4") def_gen.standard_normal(size=1, dtype="float32", out=S_out) def_gen.standard_normal(dtype=np.float32, out=S_out) def_gen.standard_normal(size=1, dtype=np.float64) def_gen.standard_normal(size=1, dtype="float64") def_gen.standard_normal(size=1, dtype="f8") def_gen.standard_normal(out=D_out) def_gen.standard_normal(size=1, dtype="float64") def_gen.standard_normal(size=1, dtype="float64", out=D_out) def_gen.random() def_gen.random(dtype=np.float32) def_gen.random(dtype="float32") def_gen.random(dtype="double") def_gen.random(dtype=np.float64) def_gen.random(size=None) def_gen.random(size=1) def_gen.random(size=1, dtype=np.float32) def_gen.random(size=1, dtype="f4") def_gen.random(size=1, dtype="float32", out=S_out) def_gen.random(dtype=np.float32, out=S_out) def_gen.random(size=1, dtype=np.float64) def_gen.random(size=1, dtype="float64") def_gen.random(size=1, dtype="f8") def_gen.random(out=D_out) def_gen.random(size=1, dtype="float64") def_gen.random(size=1, dtype="float64", out=D_out) def_gen.standard_cauchy() def_gen.standard_cauchy(size=None) def_gen.standard_cauchy(size=1) def_gen.standard_exponential() def_gen.standard_exponential(method="inv") def_gen.standard_exponential(dtype=np.float32) def_gen.standard_exponential(dtype="float32") def_gen.standard_exponential(dtype="double") def_gen.standard_exponential(dtype=np.float64) def_gen.standard_exponential(size=None) def_gen.standard_exponential(size=None, method="inv") def_gen.standard_exponential(size=1, method="inv") def_gen.standard_exponential(size=1, dtype=np.float32) def_gen.standard_exponential(size=1, dtype="f4", method="inv") def_gen.standard_exponential(size=1, dtype="float32", out=S_out) def_gen.standard_exponential(dtype=np.float32, out=S_out) def_gen.standard_exponential(size=1, dtype=np.float64, method="inv") def_gen.standard_exponential(size=1, dtype="float64") def_gen.standard_exponential(size=1, dtype="f8") def_gen.standard_exponential(out=D_out) def_gen.standard_exponential(size=1, dtype="float64") def_gen.standard_exponential(size=1, dtype="float64", out=D_out) def_gen.zipf(1.5) def_gen.zipf(1.5, size=None) def_gen.zipf(1.5, size=1) def_gen.zipf(D_arr_1p5) def_gen.zipf(D_arr_1p5, size=1) def_gen.zipf(D_arr_like_1p5) def_gen.zipf(D_arr_like_1p5, size=1) def_gen.weibull(0.5) def_gen.weibull(0.5, size=None) def_gen.weibull(0.5, size=1) def_gen.weibull(D_arr_0p5) def_gen.weibull(D_arr_0p5, size=1) def_gen.weibull(D_arr_like_0p5) def_gen.weibull(D_arr_like_0p5, size=1) def_gen.standard_t(0.5) def_gen.standard_t(0.5, size=None) def_gen.standard_t(0.5, size=1) def_gen.standard_t(D_arr_0p5) def_gen.standard_t(D_arr_0p5, size=1) def_gen.standard_t(D_arr_like_0p5) def_gen.standard_t(D_arr_like_0p5, size=1) def_gen.poisson(0.5) def_gen.poisson(0.5, size=None) def_gen.poisson(0.5, size=1) def_gen.poisson(D_arr_0p5) def_gen.poisson(D_arr_0p5, size=1) def_gen.poisson(D_arr_like_0p5) def_gen.poisson(D_arr_like_0p5, size=1) def_gen.power(0.5) def_gen.power(0.5, size=None) def_gen.power(0.5, size=1) def_gen.power(D_arr_0p5) def_gen.power(D_arr_0p5, size=1) def_gen.power(D_arr_like_0p5) def_gen.power(D_arr_like_0p5, size=1) def_gen.pareto(0.5) def_gen.pareto(0.5, size=None) def_gen.pareto(0.5, size=1) def_gen.pareto(D_arr_0p5) def_gen.pareto(D_arr_0p5, size=1) def_gen.pareto(D_arr_like_0p5) def_gen.pareto(D_arr_like_0p5, size=1) def_gen.chisquare(0.5) def_gen.chisquare(0.5, size=None) def_gen.chisquare(0.5, size=1) def_gen.chisquare(D_arr_0p5) def_gen.chisquare(D_arr_0p5, size=1) def_gen.chisquare(D_arr_like_0p5) def_gen.chisquare(D_arr_like_0p5, size=1) def_gen.exponential(0.5) def_gen.exponential(0.5, size=None) def_gen.exponential(0.5, size=1) def_gen.exponential(D_arr_0p5) def_gen.exponential(D_arr_0p5, size=1) def_gen.exponential(D_arr_like_0p5) def_gen.exponential(D_arr_like_0p5, size=1) def_gen.geometric(0.5) def_gen.geometric(0.5, size=None) def_gen.geometric(0.5, size=1) def_gen.geometric(D_arr_0p5) def_gen.geometric(D_arr_0p5, size=1) def_gen.geometric(D_arr_like_0p5) def_gen.geometric(D_arr_like_0p5, size=1) def_gen.logseries(0.5) def_gen.logseries(0.5, size=None) def_gen.logseries(0.5, size=1) def_gen.logseries(D_arr_0p5) def_gen.logseries(D_arr_0p5, size=1) def_gen.logseries(D_arr_like_0p5) def_gen.logseries(D_arr_like_0p5, size=1) def_gen.rayleigh(0.5) def_gen.rayleigh(0.5, size=None) def_gen.rayleigh(0.5, size=1) def_gen.rayleigh(D_arr_0p5) def_gen.rayleigh(D_arr_0p5, size=1) def_gen.rayleigh(D_arr_like_0p5) def_gen.rayleigh(D_arr_like_0p5, size=1) def_gen.standard_gamma(0.5) def_gen.standard_gamma(0.5, size=None) def_gen.standard_gamma(0.5, dtype="float32") def_gen.standard_gamma(0.5, size=None, dtype="float32") def_gen.standard_gamma(0.5, size=1) def_gen.standard_gamma(D_arr_0p5) def_gen.standard_gamma(D_arr_0p5, dtype="f4") def_gen.standard_gamma(0.5, size=1, dtype="float32", out=S_out) def_gen.standard_gamma(D_arr_0p5, dtype=np.float32, out=S_out) def_gen.standard_gamma(D_arr_0p5, size=1) def_gen.standard_gamma(D_arr_like_0p5) def_gen.standard_gamma(D_arr_like_0p5, size=1) def_gen.standard_gamma(0.5, out=D_out) def_gen.standard_gamma(D_arr_like_0p5, out=D_out) def_gen.standard_gamma(D_arr_like_0p5, size=1) def_gen.standard_gamma(D_arr_like_0p5, size=1, out=D_out, dtype=np.float64) def_gen.vonmises(0.5, 0.5) def_gen.vonmises(0.5, 0.5, size=None) def_gen.vonmises(0.5, 0.5, size=1) def_gen.vonmises(D_arr_0p5, 0.5) def_gen.vonmises(0.5, D_arr_0p5) def_gen.vonmises(D_arr_0p5, 0.5, size=1) def_gen.vonmises(0.5, D_arr_0p5, size=1) def_gen.vonmises(D_arr_like_0p5, 0.5) def_gen.vonmises(0.5, D_arr_like_0p5) def_gen.vonmises(D_arr_0p5, D_arr_0p5) def_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5) def_gen.vonmises(D_arr_0p5, D_arr_0p5, size=1) def_gen.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.wald(0.5, 0.5) def_gen.wald(0.5, 0.5, size=None) def_gen.wald(0.5, 0.5, size=1) def_gen.wald(D_arr_0p5, 0.5) def_gen.wald(0.5, D_arr_0p5) def_gen.wald(D_arr_0p5, 0.5, size=1) def_gen.wald(0.5, D_arr_0p5, size=1) def_gen.wald(D_arr_like_0p5, 0.5) def_gen.wald(0.5, D_arr_like_0p5) def_gen.wald(D_arr_0p5, D_arr_0p5) def_gen.wald(D_arr_like_0p5, D_arr_like_0p5) def_gen.wald(D_arr_0p5, D_arr_0p5, size=1) def_gen.wald(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.uniform(0.5, 0.5) def_gen.uniform(0.5, 0.5, size=None) def_gen.uniform(0.5, 0.5, size=1) def_gen.uniform(D_arr_0p5, 0.5) def_gen.uniform(0.5, D_arr_0p5) def_gen.uniform(D_arr_0p5, 0.5, size=1) def_gen.uniform(0.5, D_arr_0p5, size=1) def_gen.uniform(D_arr_like_0p5, 0.5) def_gen.uniform(0.5, D_arr_like_0p5) def_gen.uniform(D_arr_0p5, D_arr_0p5) def_gen.uniform(D_arr_like_0p5, D_arr_like_0p5) def_gen.uniform(D_arr_0p5, D_arr_0p5, size=1) def_gen.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.beta(0.5, 0.5) def_gen.beta(0.5, 0.5, size=None) def_gen.beta(0.5, 0.5, size=1) def_gen.beta(D_arr_0p5, 0.5) def_gen.beta(0.5, D_arr_0p5) def_gen.beta(D_arr_0p5, 0.5, size=1) def_gen.beta(0.5, D_arr_0p5, size=1) def_gen.beta(D_arr_like_0p5, 0.5) def_gen.beta(0.5, D_arr_like_0p5) def_gen.beta(D_arr_0p5, D_arr_0p5) def_gen.beta(D_arr_like_0p5, D_arr_like_0p5) def_gen.beta(D_arr_0p5, D_arr_0p5, size=1) def_gen.beta(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.f(0.5, 0.5) def_gen.f(0.5, 0.5, size=None) def_gen.f(0.5, 0.5, size=1) def_gen.f(D_arr_0p5, 0.5) def_gen.f(0.5, D_arr_0p5) def_gen.f(D_arr_0p5, 0.5, size=1) def_gen.f(0.5, D_arr_0p5, size=1) def_gen.f(D_arr_like_0p5, 0.5) def_gen.f(0.5, D_arr_like_0p5) def_gen.f(D_arr_0p5, D_arr_0p5) def_gen.f(D_arr_like_0p5, D_arr_like_0p5) def_gen.f(D_arr_0p5, D_arr_0p5, size=1) def_gen.f(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.gamma(0.5, 0.5) def_gen.gamma(0.5, 0.5, size=None) def_gen.gamma(0.5, 0.5, size=1) def_gen.gamma(D_arr_0p5, 0.5) def_gen.gamma(0.5, D_arr_0p5) def_gen.gamma(D_arr_0p5, 0.5, size=1) def_gen.gamma(0.5, D_arr_0p5, size=1) def_gen.gamma(D_arr_like_0p5, 0.5) def_gen.gamma(0.5, D_arr_like_0p5) def_gen.gamma(D_arr_0p5, D_arr_0p5) def_gen.gamma(D_arr_like_0p5, D_arr_like_0p5) def_gen.gamma(D_arr_0p5, D_arr_0p5, size=1) def_gen.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.gumbel(0.5, 0.5) def_gen.gumbel(0.5, 0.5, size=None) def_gen.gumbel(0.5, 0.5, size=1) def_gen.gumbel(D_arr_0p5, 0.5) def_gen.gumbel(0.5, D_arr_0p5) def_gen.gumbel(D_arr_0p5, 0.5, size=1) def_gen.gumbel(0.5, D_arr_0p5, size=1) def_gen.gumbel(D_arr_like_0p5, 0.5) def_gen.gumbel(0.5, D_arr_like_0p5) def_gen.gumbel(D_arr_0p5, D_arr_0p5) def_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5) def_gen.gumbel(D_arr_0p5, D_arr_0p5, size=1) def_gen.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.laplace(0.5, 0.5) def_gen.laplace(0.5, 0.5, size=None) def_gen.laplace(0.5, 0.5, size=1) def_gen.laplace(D_arr_0p5, 0.5) def_gen.laplace(0.5, D_arr_0p5) def_gen.laplace(D_arr_0p5, 0.5, size=1) def_gen.laplace(0.5, D_arr_0p5, size=1) def_gen.laplace(D_arr_like_0p5, 0.5) def_gen.laplace(0.5, D_arr_like_0p5) def_gen.laplace(D_arr_0p5, D_arr_0p5) def_gen.laplace(D_arr_like_0p5, D_arr_like_0p5) def_gen.laplace(D_arr_0p5, D_arr_0p5, size=1) def_gen.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.logistic(0.5, 0.5) def_gen.logistic(0.5, 0.5, size=None) def_gen.logistic(0.5, 0.5, size=1) def_gen.logistic(D_arr_0p5, 0.5) def_gen.logistic(0.5, D_arr_0p5) def_gen.logistic(D_arr_0p5, 0.5, size=1) def_gen.logistic(0.5, D_arr_0p5, size=1) def_gen.logistic(D_arr_like_0p5, 0.5) def_gen.logistic(0.5, D_arr_like_0p5) def_gen.logistic(D_arr_0p5, D_arr_0p5) def_gen.logistic(D_arr_like_0p5, D_arr_like_0p5) def_gen.logistic(D_arr_0p5, D_arr_0p5, size=1) def_gen.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.lognormal(0.5, 0.5) def_gen.lognormal(0.5, 0.5, size=None) def_gen.lognormal(0.5, 0.5, size=1) def_gen.lognormal(D_arr_0p5, 0.5) def_gen.lognormal(0.5, D_arr_0p5) def_gen.lognormal(D_arr_0p5, 0.5, size=1) def_gen.lognormal(0.5, D_arr_0p5, size=1) def_gen.lognormal(D_arr_like_0p5, 0.5) def_gen.lognormal(0.5, D_arr_like_0p5) def_gen.lognormal(D_arr_0p5, D_arr_0p5) def_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5) def_gen.lognormal(D_arr_0p5, D_arr_0p5, size=1) def_gen.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.noncentral_chisquare(0.5, 0.5) def_gen.noncentral_chisquare(0.5, 0.5, size=None) def_gen.noncentral_chisquare(0.5, 0.5, size=1) def_gen.noncentral_chisquare(D_arr_0p5, 0.5) def_gen.noncentral_chisquare(0.5, D_arr_0p5) def_gen.noncentral_chisquare(D_arr_0p5, 0.5, size=1) def_gen.noncentral_chisquare(0.5, D_arr_0p5, size=1) def_gen.noncentral_chisquare(D_arr_like_0p5, 0.5) def_gen.noncentral_chisquare(0.5, D_arr_like_0p5) def_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5) def_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5) def_gen.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1) def_gen.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.normal(0.5, 0.5) def_gen.normal(0.5, 0.5, size=None) def_gen.normal(0.5, 0.5, size=1) def_gen.normal(D_arr_0p5, 0.5) def_gen.normal(0.5, D_arr_0p5) def_gen.normal(D_arr_0p5, 0.5, size=1) def_gen.normal(0.5, D_arr_0p5, size=1) def_gen.normal(D_arr_like_0p5, 0.5) def_gen.normal(0.5, D_arr_like_0p5) def_gen.normal(D_arr_0p5, D_arr_0p5) def_gen.normal(D_arr_like_0p5, D_arr_like_0p5) def_gen.normal(D_arr_0p5, D_arr_0p5, size=1) def_gen.normal(D_arr_like_0p5, D_arr_like_0p5, size=1) def_gen.triangular(0.1, 0.5, 0.9) def_gen.triangular(0.1, 0.5, 0.9, size=None) def_gen.triangular(0.1, 0.5, 0.9, size=1) def_gen.triangular(D_arr_0p1, 0.5, 0.9) def_gen.triangular(0.1, D_arr_0p5, 0.9) def_gen.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1) def_gen.triangular(0.1, D_arr_0p5, 0.9, size=1) def_gen.triangular(D_arr_like_0p1, 0.5, D_arr_0p9) def_gen.triangular(0.5, D_arr_like_0p5, 0.9) def_gen.triangular(D_arr_0p1, D_arr_0p5, 0.9) def_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9) def_gen.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1) def_gen.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1) def_gen.noncentral_f(0.1, 0.5, 0.9) def_gen.noncentral_f(0.1, 0.5, 0.9, size=None) def_gen.noncentral_f(0.1, 0.5, 0.9, size=1) def_gen.noncentral_f(D_arr_0p1, 0.5, 0.9) def_gen.noncentral_f(0.1, D_arr_0p5, 0.9) def_gen.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1) def_gen.noncentral_f(0.1, D_arr_0p5, 0.9, size=1) def_gen.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9) def_gen.noncentral_f(0.5, D_arr_like_0p5, 0.9) def_gen.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9) def_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9) def_gen.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1) def_gen.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1) def_gen.binomial(10, 0.5) def_gen.binomial(10, 0.5, size=None) def_gen.binomial(10, 0.5, size=1) def_gen.binomial(I_arr_10, 0.5) def_gen.binomial(10, D_arr_0p5) def_gen.binomial(I_arr_10, 0.5, size=1) def_gen.binomial(10, D_arr_0p5, size=1) def_gen.binomial(I_arr_like_10, 0.5) def_gen.binomial(10, D_arr_like_0p5) def_gen.binomial(I_arr_10, D_arr_0p5) def_gen.binomial(I_arr_like_10, D_arr_like_0p5) def_gen.binomial(I_arr_10, D_arr_0p5, size=1) def_gen.binomial(I_arr_like_10, D_arr_like_0p5, size=1) def_gen.negative_binomial(10, 0.5) def_gen.negative_binomial(10, 0.5, size=None) def_gen.negative_binomial(10, 0.5, size=1) def_gen.negative_binomial(I_arr_10, 0.5) def_gen.negative_binomial(10, D_arr_0p5) def_gen.negative_binomial(I_arr_10, 0.5, size=1) def_gen.negative_binomial(10, D_arr_0p5, size=1) def_gen.negative_binomial(I_arr_like_10, 0.5) def_gen.negative_binomial(10, D_arr_like_0p5) def_gen.negative_binomial(I_arr_10, D_arr_0p5) def_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5) def_gen.negative_binomial(I_arr_10, D_arr_0p5, size=1) def_gen.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1) def_gen.hypergeometric(20, 20, 10) def_gen.hypergeometric(20, 20, 10, size=None) def_gen.hypergeometric(20, 20, 10, size=1) def_gen.hypergeometric(I_arr_20, 20, 10) def_gen.hypergeometric(20, I_arr_20, 10) def_gen.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1) def_gen.hypergeometric(20, I_arr_20, 10, size=1) def_gen.hypergeometric(I_arr_like_20, 20, I_arr_10) def_gen.hypergeometric(20, I_arr_like_20, 10) def_gen.hypergeometric(I_arr_20, I_arr_20, 10) def_gen.hypergeometric(I_arr_like_20, I_arr_like_20, 10) def_gen.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1) def_gen.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1) I_int64_100: np.ndarray[Any, np.dtype[np.int64]] = np.array([100], dtype=np.int64) def_gen.integers(0, 100) def_gen.integers(100) def_gen.integers([100]) def_gen.integers(0, [100]) I_bool_low: np.ndarray[Any, np.dtype[np.bool_]] = np.array([0], dtype=np.bool_) I_bool_low_like: list[int] = [0] I_bool_high_open: np.ndarray[Any, np.dtype[np.bool_]] = np.array([1], dtype=np.bool_) I_bool_high_closed: np.ndarray[Any, np.dtype[np.bool_]] = np.array([1], dtype=np.bool_) def_gen.integers(2, dtype=bool) def_gen.integers(0, 2, dtype=bool) def_gen.integers(1, dtype=bool, endpoint=True) def_gen.integers(0, 1, dtype=bool, endpoint=True) def_gen.integers(I_bool_low_like, 1, dtype=bool, endpoint=True) def_gen.integers(I_bool_high_open, dtype=bool) def_gen.integers(I_bool_low, I_bool_high_open, dtype=bool) def_gen.integers(0, I_bool_high_open, dtype=bool) def_gen.integers(I_bool_high_closed, dtype=bool, endpoint=True) def_gen.integers(I_bool_low, I_bool_high_closed, dtype=bool, endpoint=True) def_gen.integers(0, I_bool_high_closed, dtype=bool, endpoint=True) def_gen.integers(2, dtype=np.bool_) def_gen.integers(0, 2, dtype=np.bool_) def_gen.integers(1, dtype=np.bool_, endpoint=True) def_gen.integers(0, 1, dtype=np.bool_, endpoint=True) def_gen.integers(I_bool_low_like, 1, dtype=np.bool_, endpoint=True) def_gen.integers(I_bool_high_open, dtype=np.bool_) def_gen.integers(I_bool_low, I_bool_high_open, dtype=np.bool_) def_gen.integers(0, I_bool_high_open, dtype=np.bool_) def_gen.integers(I_bool_high_closed, dtype=np.bool_, endpoint=True) def_gen.integers(I_bool_low, I_bool_high_closed, dtype=np.bool_, endpoint=True) def_gen.integers(0, I_bool_high_closed, dtype=np.bool_, endpoint=True) I_u1_low: np.ndarray[Any, np.dtype[np.uint8]] = np.array([0], dtype=np.uint8) I_u1_low_like: list[int] = [0] I_u1_high_open: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8) I_u1_high_closed: np.ndarray[Any, np.dtype[np.uint8]] = np.array([255], dtype=np.uint8) def_gen.integers(256, dtype="u1") def_gen.integers(0, 256, dtype="u1") def_gen.integers(255, dtype="u1", endpoint=True) def_gen.integers(0, 255, dtype="u1", endpoint=True) def_gen.integers(I_u1_low_like, 255, dtype="u1", endpoint=True) def_gen.integers(I_u1_high_open, dtype="u1") def_gen.integers(I_u1_low, I_u1_high_open, dtype="u1") def_gen.integers(0, I_u1_high_open, dtype="u1") def_gen.integers(I_u1_high_closed, dtype="u1", endpoint=True) def_gen.integers(I_u1_low, I_u1_high_closed, dtype="u1", endpoint=True) def_gen.integers(0, I_u1_high_closed, dtype="u1", endpoint=True) def_gen.integers(256, dtype="uint8") def_gen.integers(0, 256, dtype="uint8") def_gen.integers(255, dtype="uint8", endpoint=True) def_gen.integers(0, 255, dtype="uint8", endpoint=True) def_gen.integers(I_u1_low_like, 255, dtype="uint8", endpoint=True) def_gen.integers(I_u1_high_open, dtype="uint8") def_gen.integers(I_u1_low, I_u1_high_open, dtype="uint8") def_gen.integers(0, I_u1_high_open, dtype="uint8") def_gen.integers(I_u1_high_closed, dtype="uint8", endpoint=True) def_gen.integers(I_u1_low, I_u1_high_closed, dtype="uint8", endpoint=True) def_gen.integers(0, I_u1_high_closed, dtype="uint8", endpoint=True) def_gen.integers(256, dtype=np.uint8) def_gen.integers(0, 256, dtype=np.uint8) def_gen.integers(255, dtype=np.uint8, endpoint=True) def_gen.integers(0, 255, dtype=np.uint8, endpoint=True) def_gen.integers(I_u1_low_like, 255, dtype=np.uint8, endpoint=True) def_gen.integers(I_u1_high_open, dtype=np.uint8) def_gen.integers(I_u1_low, I_u1_high_open, dtype=np.uint8) def_gen.integers(0, I_u1_high_open, dtype=np.uint8) def_gen.integers(I_u1_high_closed, dtype=np.uint8, endpoint=True) def_gen.integers(I_u1_low, I_u1_high_closed, dtype=np.uint8, endpoint=True) def_gen.integers(0, I_u1_high_closed, dtype=np.uint8, endpoint=True) I_u2_low: np.ndarray[Any, np.dtype[np.uint16]] = np.array([0], dtype=np.uint16) I_u2_low_like: list[int] = [0] I_u2_high_open: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16) I_u2_high_closed: np.ndarray[Any, np.dtype[np.uint16]] = np.array([65535], dtype=np.uint16) def_gen.integers(65536, dtype="u2") def_gen.integers(0, 65536, dtype="u2") def_gen.integers(65535, dtype="u2", endpoint=True) def_gen.integers(0, 65535, dtype="u2", endpoint=True) def_gen.integers(I_u2_low_like, 65535, dtype="u2", endpoint=True) def_gen.integers(I_u2_high_open, dtype="u2") def_gen.integers(I_u2_low, I_u2_high_open, dtype="u2") def_gen.integers(0, I_u2_high_open, dtype="u2") def_gen.integers(I_u2_high_closed, dtype="u2", endpoint=True) def_gen.integers(I_u2_low, I_u2_high_closed, dtype="u2", endpoint=True) def_gen.integers(0, I_u2_high_closed, dtype="u2", endpoint=True) def_gen.integers(65536, dtype="uint16") def_gen.integers(0, 65536, dtype="uint16") def_gen.integers(65535, dtype="uint16", endpoint=True) def_gen.integers(0, 65535, dtype="uint16", endpoint=True) def_gen.integers(I_u2_low_like, 65535, dtype="uint16", endpoint=True) def_gen.integers(I_u2_high_open, dtype="uint16") def_gen.integers(I_u2_low, I_u2_high_open, dtype="uint16") def_gen.integers(0, I_u2_high_open, dtype="uint16") def_gen.integers(I_u2_high_closed, dtype="uint16", endpoint=True) def_gen.integers(I_u2_low, I_u2_high_closed, dtype="uint16", endpoint=True) def_gen.integers(0, I_u2_high_closed, dtype="uint16", endpoint=True) def_gen.integers(65536, dtype=np.uint16) def_gen.integers(0, 65536, dtype=np.uint16) def_gen.integers(65535, dtype=np.uint16, endpoint=True) def_gen.integers(0, 65535, dtype=np.uint16, endpoint=True) def_gen.integers(I_u2_low_like, 65535, dtype=np.uint16, endpoint=True) def_gen.integers(I_u2_high_open, dtype=np.uint16) def_gen.integers(I_u2_low, I_u2_high_open, dtype=np.uint16) def_gen.integers(0, I_u2_high_open, dtype=np.uint16) def_gen.integers(I_u2_high_closed, dtype=np.uint16, endpoint=True) def_gen.integers(I_u2_low, I_u2_high_closed, dtype=np.uint16, endpoint=True) def_gen.integers(0, I_u2_high_closed, dtype=np.uint16, endpoint=True) I_u4_low: np.ndarray[Any, np.dtype[np.uint32]] = np.array([0], dtype=np.uint32) I_u4_low_like: list[int] = [0] I_u4_high_open: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32) I_u4_high_closed: np.ndarray[Any, np.dtype[np.uint32]] = np.array([4294967295], dtype=np.uint32) def_gen.integers(4294967296, dtype="u4") def_gen.integers(0, 4294967296, dtype="u4") def_gen.integers(4294967295, dtype="u4", endpoint=True) def_gen.integers(0, 4294967295, dtype="u4", endpoint=True) def_gen.integers(I_u4_low_like, 4294967295, dtype="u4", endpoint=True) def_gen.integers(I_u4_high_open, dtype="u4") def_gen.integers(I_u4_low, I_u4_high_open, dtype="u4") def_gen.integers(0, I_u4_high_open, dtype="u4") def_gen.integers(I_u4_high_closed, dtype="u4", endpoint=True) def_gen.integers(I_u4_low, I_u4_high_closed, dtype="u4", endpoint=True) def_gen.integers(0, I_u4_high_closed, dtype="u4", endpoint=True) def_gen.integers(4294967296, dtype="uint32") def_gen.integers(0, 4294967296, dtype="uint32") def_gen.integers(4294967295, dtype="uint32", endpoint=True) def_gen.integers(0, 4294967295, dtype="uint32", endpoint=True) def_gen.integers(I_u4_low_like, 4294967295, dtype="uint32", endpoint=True) def_gen.integers(I_u4_high_open, dtype="uint32") def_gen.integers(I_u4_low, I_u4_high_open, dtype="uint32") def_gen.integers(0, I_u4_high_open, dtype="uint32") def_gen.integers(I_u4_high_closed, dtype="uint32", endpoint=True) def_gen.integers(I_u4_low, I_u4_high_closed, dtype="uint32", endpoint=True) def_gen.integers(0, I_u4_high_closed, dtype="uint32", endpoint=True) def_gen.integers(4294967296, dtype=np.uint32) def_gen.integers(0, 4294967296, dtype=np.uint32) def_gen.integers(4294967295, dtype=np.uint32, endpoint=True) def_gen.integers(0, 4294967295, dtype=np.uint32, endpoint=True) def_gen.integers(I_u4_low_like, 4294967295, dtype=np.uint32, endpoint=True) def_gen.integers(I_u4_high_open, dtype=np.uint32) def_gen.integers(I_u4_low, I_u4_high_open, dtype=np.uint32) def_gen.integers(0, I_u4_high_open, dtype=np.uint32) def_gen.integers(I_u4_high_closed, dtype=np.uint32, endpoint=True) def_gen.integers(I_u4_low, I_u4_high_closed, dtype=np.uint32, endpoint=True) def_gen.integers(0, I_u4_high_closed, dtype=np.uint32, endpoint=True) I_u8_low: np.ndarray[Any, np.dtype[np.uint64]] = np.array([0], dtype=np.uint64) I_u8_low_like: list[int] = [0] I_u8_high_open: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64) I_u8_high_closed: np.ndarray[Any, np.dtype[np.uint64]] = np.array([18446744073709551615], dtype=np.uint64) def_gen.integers(18446744073709551616, dtype="u8") def_gen.integers(0, 18446744073709551616, dtype="u8") def_gen.integers(18446744073709551615, dtype="u8", endpoint=True) def_gen.integers(0, 18446744073709551615, dtype="u8", endpoint=True) def_gen.integers(I_u8_low_like, 18446744073709551615, dtype="u8", endpoint=True) def_gen.integers(I_u8_high_open, dtype="u8") def_gen.integers(I_u8_low, I_u8_high_open, dtype="u8") def_gen.integers(0, I_u8_high_open, dtype="u8") def_gen.integers(I_u8_high_closed, dtype="u8", endpoint=True) def_gen.integers(I_u8_low, I_u8_high_closed, dtype="u8", endpoint=True) def_gen.integers(0, I_u8_high_closed, dtype="u8", endpoint=True) def_gen.integers(18446744073709551616, dtype="uint64") def_gen.integers(0, 18446744073709551616, dtype="uint64") def_gen.integers(18446744073709551615, dtype="uint64", endpoint=True) def_gen.integers(0, 18446744073709551615, dtype="uint64", endpoint=True) def_gen.integers(I_u8_low_like, 18446744073709551615, dtype="uint64", endpoint=True) def_gen.integers(I_u8_high_open, dtype="uint64") def_gen.integers(I_u8_low, I_u8_high_open, dtype="uint64") def_gen.integers(0, I_u8_high_open, dtype="uint64") def_gen.integers(I_u8_high_closed, dtype="uint64", endpoint=True) def_gen.integers(I_u8_low, I_u8_high_closed, dtype="uint64", endpoint=True) def_gen.integers(0, I_u8_high_closed, dtype="uint64", endpoint=True) def_gen.integers(18446744073709551616, dtype=np.uint64) def_gen.integers(0, 18446744073709551616, dtype=np.uint64) def_gen.integers(18446744073709551615, dtype=np.uint64, endpoint=True) def_gen.integers(0, 18446744073709551615, dtype=np.uint64, endpoint=True) def_gen.integers(I_u8_low_like, 18446744073709551615, dtype=np.uint64, endpoint=True) def_gen.integers(I_u8_high_open, dtype=np.uint64) def_gen.integers(I_u8_low, I_u8_high_open, dtype=np.uint64) def_gen.integers(0, I_u8_high_open, dtype=np.uint64) def_gen.integers(I_u8_high_closed, dtype=np.uint64, endpoint=True) def_gen.integers(I_u8_low, I_u8_high_closed, dtype=np.uint64, endpoint=True) def_gen.integers(0, I_u8_high_closed, dtype=np.uint64, endpoint=True) I_i1_low: np.ndarray[Any, np.dtype[np.int8]] = np.array([-128], dtype=np.int8) I_i1_low_like: list[int] = [-128] I_i1_high_open: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8) I_i1_high_closed: np.ndarray[Any, np.dtype[np.int8]] = np.array([127], dtype=np.int8) def_gen.integers(128, dtype="i1") def_gen.integers(-128, 128, dtype="i1") def_gen.integers(127, dtype="i1", endpoint=True) def_gen.integers(-128, 127, dtype="i1", endpoint=True) def_gen.integers(I_i1_low_like, 127, dtype="i1", endpoint=True) def_gen.integers(I_i1_high_open, dtype="i1") def_gen.integers(I_i1_low, I_i1_high_open, dtype="i1") def_gen.integers(-128, I_i1_high_open, dtype="i1") def_gen.integers(I_i1_high_closed, dtype="i1", endpoint=True) def_gen.integers(I_i1_low, I_i1_high_closed, dtype="i1", endpoint=True) def_gen.integers(-128, I_i1_high_closed, dtype="i1", endpoint=True) def_gen.integers(128, dtype="int8") def_gen.integers(-128, 128, dtype="int8") def_gen.integers(127, dtype="int8", endpoint=True) def_gen.integers(-128, 127, dtype="int8", endpoint=True) def_gen.integers(I_i1_low_like, 127, dtype="int8", endpoint=True) def_gen.integers(I_i1_high_open, dtype="int8") def_gen.integers(I_i1_low, I_i1_high_open, dtype="int8") def_gen.integers(-128, I_i1_high_open, dtype="int8") def_gen.integers(I_i1_high_closed, dtype="int8", endpoint=True) def_gen.integers(I_i1_low, I_i1_high_closed, dtype="int8", endpoint=True) def_gen.integers(-128, I_i1_high_closed, dtype="int8", endpoint=True) def_gen.integers(128, dtype=np.int8) def_gen.integers(-128, 128, dtype=np.int8) def_gen.integers(127, dtype=np.int8, endpoint=True) def_gen.integers(-128, 127, dtype=np.int8, endpoint=True) def_gen.integers(I_i1_low_like, 127, dtype=np.int8, endpoint=True) def_gen.integers(I_i1_high_open, dtype=np.int8) def_gen.integers(I_i1_low, I_i1_high_open, dtype=np.int8) def_gen.integers(-128, I_i1_high_open, dtype=np.int8) def_gen.integers(I_i1_high_closed, dtype=np.int8, endpoint=True) def_gen.integers(I_i1_low, I_i1_high_closed, dtype=np.int8, endpoint=True) def_gen.integers(-128, I_i1_high_closed, dtype=np.int8, endpoint=True) I_i2_low: np.ndarray[Any, np.dtype[np.int16]] = np.array([-32768], dtype=np.int16) I_i2_low_like: list[int] = [-32768] I_i2_high_open: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16) I_i2_high_closed: np.ndarray[Any, np.dtype[np.int16]] = np.array([32767], dtype=np.int16) def_gen.integers(32768, dtype="i2") def_gen.integers(-32768, 32768, dtype="i2") def_gen.integers(32767, dtype="i2", endpoint=True) def_gen.integers(-32768, 32767, dtype="i2", endpoint=True) def_gen.integers(I_i2_low_like, 32767, dtype="i2", endpoint=True) def_gen.integers(I_i2_high_open, dtype="i2") def_gen.integers(I_i2_low, I_i2_high_open, dtype="i2") def_gen.integers(-32768, I_i2_high_open, dtype="i2") def_gen.integers(I_i2_high_closed, dtype="i2", endpoint=True) def_gen.integers(I_i2_low, I_i2_high_closed, dtype="i2", endpoint=True) def_gen.integers(-32768, I_i2_high_closed, dtype="i2", endpoint=True) def_gen.integers(32768, dtype="int16") def_gen.integers(-32768, 32768, dtype="int16") def_gen.integers(32767, dtype="int16", endpoint=True) def_gen.integers(-32768, 32767, dtype="int16", endpoint=True) def_gen.integers(I_i2_low_like, 32767, dtype="int16", endpoint=True) def_gen.integers(I_i2_high_open, dtype="int16") def_gen.integers(I_i2_low, I_i2_high_open, dtype="int16") def_gen.integers(-32768, I_i2_high_open, dtype="int16") def_gen.integers(I_i2_high_closed, dtype="int16", endpoint=True) def_gen.integers(I_i2_low, I_i2_high_closed, dtype="int16", endpoint=True) def_gen.integers(-32768, I_i2_high_closed, dtype="int16", endpoint=True) def_gen.integers(32768, dtype=np.int16) def_gen.integers(-32768, 32768, dtype=np.int16) def_gen.integers(32767, dtype=np.int16, endpoint=True) def_gen.integers(-32768, 32767, dtype=np.int16, endpoint=True) def_gen.integers(I_i2_low_like, 32767, dtype=np.int16, endpoint=True) def_gen.integers(I_i2_high_open, dtype=np.int16) def_gen.integers(I_i2_low, I_i2_high_open, dtype=np.int16) def_gen.integers(-32768, I_i2_high_open, dtype=np.int16) def_gen.integers(I_i2_high_closed, dtype=np.int16, endpoint=True) def_gen.integers(I_i2_low, I_i2_high_closed, dtype=np.int16, endpoint=True) def_gen.integers(-32768, I_i2_high_closed, dtype=np.int16, endpoint=True) I_i4_low: np.ndarray[Any, np.dtype[np.int32]] = np.array([-2147483648], dtype=np.int32) I_i4_low_like: list[int] = [-2147483648] I_i4_high_open: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32) I_i4_high_closed: np.ndarray[Any, np.dtype[np.int32]] = np.array([2147483647], dtype=np.int32) def_gen.integers(2147483648, dtype="i4") def_gen.integers(-2147483648, 2147483648, dtype="i4") def_gen.integers(2147483647, dtype="i4", endpoint=True) def_gen.integers(-2147483648, 2147483647, dtype="i4", endpoint=True) def_gen.integers(I_i4_low_like, 2147483647, dtype="i4", endpoint=True) def_gen.integers(I_i4_high_open, dtype="i4") def_gen.integers(I_i4_low, I_i4_high_open, dtype="i4") def_gen.integers(-2147483648, I_i4_high_open, dtype="i4") def_gen.integers(I_i4_high_closed, dtype="i4", endpoint=True) def_gen.integers(I_i4_low, I_i4_high_closed, dtype="i4", endpoint=True) def_gen.integers(-2147483648, I_i4_high_closed, dtype="i4", endpoint=True) def_gen.integers(2147483648, dtype="int32") def_gen.integers(-2147483648, 2147483648, dtype="int32") def_gen.integers(2147483647, dtype="int32", endpoint=True) def_gen.integers(-2147483648, 2147483647, dtype="int32", endpoint=True) def_gen.integers(I_i4_low_like, 2147483647, dtype="int32", endpoint=True) def_gen.integers(I_i4_high_open, dtype="int32") def_gen.integers(I_i4_low, I_i4_high_open, dtype="int32") def_gen.integers(-2147483648, I_i4_high_open, dtype="int32") def_gen.integers(I_i4_high_closed, dtype="int32", endpoint=True) def_gen.integers(I_i4_low, I_i4_high_closed, dtype="int32", endpoint=True) def_gen.integers(-2147483648, I_i4_high_closed, dtype="int32", endpoint=True) def_gen.integers(2147483648, dtype=np.int32) def_gen.integers(-2147483648, 2147483648, dtype=np.int32) def_gen.integers(2147483647, dtype=np.int32, endpoint=True) def_gen.integers(-2147483648, 2147483647, dtype=np.int32, endpoint=True) def_gen.integers(I_i4_low_like, 2147483647, dtype=np.int32, endpoint=True) def_gen.integers(I_i4_high_open, dtype=np.int32) def_gen.integers(I_i4_low, I_i4_high_open, dtype=np.int32) def_gen.integers(-2147483648, I_i4_high_open, dtype=np.int32) def_gen.integers(I_i4_high_closed, dtype=np.int32, endpoint=True) def_gen.integers(I_i4_low, I_i4_high_closed, dtype=np.int32, endpoint=True) def_gen.integers(-2147483648, I_i4_high_closed, dtype=np.int32, endpoint=True) I_i8_low: np.ndarray[Any, np.dtype[np.int64]] = np.array([-9223372036854775808], dtype=np.int64) I_i8_low_like: list[int] = [-9223372036854775808] I_i8_high_open: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64) I_i8_high_closed: np.ndarray[Any, np.dtype[np.int64]] = np.array([9223372036854775807], dtype=np.int64) def_gen.integers(9223372036854775808, dtype="i8") def_gen.integers(-9223372036854775808, 9223372036854775808, dtype="i8") def_gen.integers(9223372036854775807, dtype="i8", endpoint=True) def_gen.integers(-9223372036854775808, 9223372036854775807, dtype="i8", endpoint=True) def_gen.integers(I_i8_low_like, 9223372036854775807, dtype="i8", endpoint=True) def_gen.integers(I_i8_high_open, dtype="i8") def_gen.integers(I_i8_low, I_i8_high_open, dtype="i8") def_gen.integers(-9223372036854775808, I_i8_high_open, dtype="i8") def_gen.integers(I_i8_high_closed, dtype="i8", endpoint=True) def_gen.integers(I_i8_low, I_i8_high_closed, dtype="i8", endpoint=True) def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="i8", endpoint=True) def_gen.integers(9223372036854775808, dtype="int64") def_gen.integers(-9223372036854775808, 9223372036854775808, dtype="int64") def_gen.integers(9223372036854775807, dtype="int64", endpoint=True) def_gen.integers(-9223372036854775808, 9223372036854775807, dtype="int64", endpoint=True) def_gen.integers(I_i8_low_like, 9223372036854775807, dtype="int64", endpoint=True) def_gen.integers(I_i8_high_open, dtype="int64") def_gen.integers(I_i8_low, I_i8_high_open, dtype="int64") def_gen.integers(-9223372036854775808, I_i8_high_open, dtype="int64") def_gen.integers(I_i8_high_closed, dtype="int64", endpoint=True) def_gen.integers(I_i8_low, I_i8_high_closed, dtype="int64", endpoint=True) def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype="int64", endpoint=True) def_gen.integers(9223372036854775808, dtype=np.int64) def_gen.integers(-9223372036854775808, 9223372036854775808, dtype=np.int64) def_gen.integers(9223372036854775807, dtype=np.int64, endpoint=True) def_gen.integers(-9223372036854775808, 9223372036854775807, dtype=np.int64, endpoint=True) def_gen.integers(I_i8_low_like, 9223372036854775807, dtype=np.int64, endpoint=True) def_gen.integers(I_i8_high_open, dtype=np.int64) def_gen.integers(I_i8_low, I_i8_high_open, dtype=np.int64) def_gen.integers(-9223372036854775808, I_i8_high_open, dtype=np.int64) def_gen.integers(I_i8_high_closed, dtype=np.int64, endpoint=True) def_gen.integers(I_i8_low, I_i8_high_closed, dtype=np.int64, endpoint=True) def_gen.integers(-9223372036854775808, I_i8_high_closed, dtype=np.int64, endpoint=True) def_gen.bit_generator def_gen.bytes(2) def_gen.choice(5) def_gen.choice(5, 3) def_gen.choice(5, 3, replace=True) def_gen.choice(5, 3, p=[1 / 5] * 5) def_gen.choice(5, 3, p=[1 / 5] * 5, replace=False) def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"]) def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3) def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4) def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True) def_gen.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4])) def_gen.dirichlet([0.5, 0.5]) def_gen.dirichlet(np.array([0.5, 0.5])) def_gen.dirichlet(np.array([0.5, 0.5]), size=3) def_gen.multinomial(20, [1 / 6.0] * 6) def_gen.multinomial(20, np.array([0.5, 0.5])) def_gen.multinomial(20, [1 / 6.0] * 6, size=2) def_gen.multinomial([[10], [20]], [1 / 6.0] * 6, size=(2, 2)) def_gen.multinomial(np.array([[10], [20]]), np.array([0.5, 0.5]), size=(2, 2)) def_gen.multivariate_hypergeometric([3, 5, 7], 2) def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2) def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=4) def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, size=(4, 7)) def_gen.multivariate_hypergeometric([3, 5, 7], 2, method="count") def_gen.multivariate_hypergeometric(np.array([3, 5, 7]), 2, method="marginals") def_gen.multivariate_normal([0.0], [[1.0]]) def_gen.multivariate_normal([0.0], np.array([[1.0]])) def_gen.multivariate_normal(np.array([0.0]), [[1.0]]) def_gen.multivariate_normal([0.0], np.array([[1.0]])) def_gen.permutation(10) def_gen.permutation([1, 2, 3, 4]) def_gen.permutation(np.array([1, 2, 3, 4])) def_gen.permutation(D_2D, axis=1) def_gen.permuted(D_2D) def_gen.permuted(D_2D_like) def_gen.permuted(D_2D, axis=1) def_gen.permuted(D_2D, out=D_2D) def_gen.permuted(D_2D_like, out=D_2D) def_gen.permuted(D_2D_like, out=D_2D) def_gen.permuted(D_2D, axis=1, out=D_2D) def_gen.shuffle(np.arange(10)) def_gen.shuffle([1, 2, 3, 4, 5]) def_gen.shuffle(D_2D, axis=1) def_gen.__str__() def_gen.__repr__() def_gen_state: dict[str, Any] def_gen_state = def_gen.__getstate__() def_gen.__setstate__(def_gen_state) # RandomState random_st: np.random.RandomState = np.random.RandomState() random_st.standard_normal() random_st.standard_normal(size=None) random_st.standard_normal(size=1) random_st.random() random_st.random(size=None) random_st.random(size=1) random_st.standard_cauchy() random_st.standard_cauchy(size=None) random_st.standard_cauchy(size=1) random_st.standard_exponential() random_st.standard_exponential(size=None) random_st.standard_exponential(size=1) random_st.zipf(1.5) random_st.zipf(1.5, size=None) random_st.zipf(1.5, size=1) random_st.zipf(D_arr_1p5) random_st.zipf(D_arr_1p5, size=1) random_st.zipf(D_arr_like_1p5) random_st.zipf(D_arr_like_1p5, size=1) random_st.weibull(0.5) random_st.weibull(0.5, size=None) random_st.weibull(0.5, size=1) random_st.weibull(D_arr_0p5) random_st.weibull(D_arr_0p5, size=1) random_st.weibull(D_arr_like_0p5) random_st.weibull(D_arr_like_0p5, size=1) random_st.standard_t(0.5) random_st.standard_t(0.5, size=None) random_st.standard_t(0.5, size=1) random_st.standard_t(D_arr_0p5) random_st.standard_t(D_arr_0p5, size=1) random_st.standard_t(D_arr_like_0p5) random_st.standard_t(D_arr_like_0p5, size=1) random_st.poisson(0.5) random_st.poisson(0.5, size=None) random_st.poisson(0.5, size=1) random_st.poisson(D_arr_0p5) random_st.poisson(D_arr_0p5, size=1) random_st.poisson(D_arr_like_0p5) random_st.poisson(D_arr_like_0p5, size=1) random_st.power(0.5) random_st.power(0.5, size=None) random_st.power(0.5, size=1) random_st.power(D_arr_0p5) random_st.power(D_arr_0p5, size=1) random_st.power(D_arr_like_0p5) random_st.power(D_arr_like_0p5, size=1) random_st.pareto(0.5) random_st.pareto(0.5, size=None) random_st.pareto(0.5, size=1) random_st.pareto(D_arr_0p5) random_st.pareto(D_arr_0p5, size=1) random_st.pareto(D_arr_like_0p5) random_st.pareto(D_arr_like_0p5, size=1) random_st.chisquare(0.5) random_st.chisquare(0.5, size=None) random_st.chisquare(0.5, size=1) random_st.chisquare(D_arr_0p5) random_st.chisquare(D_arr_0p5, size=1) random_st.chisquare(D_arr_like_0p5) random_st.chisquare(D_arr_like_0p5, size=1) random_st.exponential(0.5) random_st.exponential(0.5, size=None) random_st.exponential(0.5, size=1) random_st.exponential(D_arr_0p5) random_st.exponential(D_arr_0p5, size=1) random_st.exponential(D_arr_like_0p5) random_st.exponential(D_arr_like_0p5, size=1) random_st.geometric(0.5) random_st.geometric(0.5, size=None) random_st.geometric(0.5, size=1) random_st.geometric(D_arr_0p5) random_st.geometric(D_arr_0p5, size=1) random_st.geometric(D_arr_like_0p5) random_st.geometric(D_arr_like_0p5, size=1) random_st.logseries(0.5) random_st.logseries(0.5, size=None) random_st.logseries(0.5, size=1) random_st.logseries(D_arr_0p5) random_st.logseries(D_arr_0p5, size=1) random_st.logseries(D_arr_like_0p5) random_st.logseries(D_arr_like_0p5, size=1) random_st.rayleigh(0.5) random_st.rayleigh(0.5, size=None) random_st.rayleigh(0.5, size=1) random_st.rayleigh(D_arr_0p5) random_st.rayleigh(D_arr_0p5, size=1) random_st.rayleigh(D_arr_like_0p5) random_st.rayleigh(D_arr_like_0p5, size=1) random_st.standard_gamma(0.5) random_st.standard_gamma(0.5, size=None) random_st.standard_gamma(0.5, size=1) random_st.standard_gamma(D_arr_0p5) random_st.standard_gamma(D_arr_0p5, size=1) random_st.standard_gamma(D_arr_like_0p5) random_st.standard_gamma(D_arr_like_0p5, size=1) random_st.standard_gamma(D_arr_like_0p5, size=1) random_st.vonmises(0.5, 0.5) random_st.vonmises(0.5, 0.5, size=None) random_st.vonmises(0.5, 0.5, size=1) random_st.vonmises(D_arr_0p5, 0.5) random_st.vonmises(0.5, D_arr_0p5) random_st.vonmises(D_arr_0p5, 0.5, size=1) random_st.vonmises(0.5, D_arr_0p5, size=1) random_st.vonmises(D_arr_like_0p5, 0.5) random_st.vonmises(0.5, D_arr_like_0p5) random_st.vonmises(D_arr_0p5, D_arr_0p5) random_st.vonmises(D_arr_like_0p5, D_arr_like_0p5) random_st.vonmises(D_arr_0p5, D_arr_0p5, size=1) random_st.vonmises(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.wald(0.5, 0.5) random_st.wald(0.5, 0.5, size=None) random_st.wald(0.5, 0.5, size=1) random_st.wald(D_arr_0p5, 0.5) random_st.wald(0.5, D_arr_0p5) random_st.wald(D_arr_0p5, 0.5, size=1) random_st.wald(0.5, D_arr_0p5, size=1) random_st.wald(D_arr_like_0p5, 0.5) random_st.wald(0.5, D_arr_like_0p5) random_st.wald(D_arr_0p5, D_arr_0p5) random_st.wald(D_arr_like_0p5, D_arr_like_0p5) random_st.wald(D_arr_0p5, D_arr_0p5, size=1) random_st.wald(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.uniform(0.5, 0.5) random_st.uniform(0.5, 0.5, size=None) random_st.uniform(0.5, 0.5, size=1) random_st.uniform(D_arr_0p5, 0.5) random_st.uniform(0.5, D_arr_0p5) random_st.uniform(D_arr_0p5, 0.5, size=1) random_st.uniform(0.5, D_arr_0p5, size=1) random_st.uniform(D_arr_like_0p5, 0.5) random_st.uniform(0.5, D_arr_like_0p5) random_st.uniform(D_arr_0p5, D_arr_0p5) random_st.uniform(D_arr_like_0p5, D_arr_like_0p5) random_st.uniform(D_arr_0p5, D_arr_0p5, size=1) random_st.uniform(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.beta(0.5, 0.5) random_st.beta(0.5, 0.5, size=None) random_st.beta(0.5, 0.5, size=1) random_st.beta(D_arr_0p5, 0.5) random_st.beta(0.5, D_arr_0p5) random_st.beta(D_arr_0p5, 0.5, size=1) random_st.beta(0.5, D_arr_0p5, size=1) random_st.beta(D_arr_like_0p5, 0.5) random_st.beta(0.5, D_arr_like_0p5) random_st.beta(D_arr_0p5, D_arr_0p5) random_st.beta(D_arr_like_0p5, D_arr_like_0p5) random_st.beta(D_arr_0p5, D_arr_0p5, size=1) random_st.beta(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.f(0.5, 0.5) random_st.f(0.5, 0.5, size=None) random_st.f(0.5, 0.5, size=1) random_st.f(D_arr_0p5, 0.5) random_st.f(0.5, D_arr_0p5) random_st.f(D_arr_0p5, 0.5, size=1) random_st.f(0.5, D_arr_0p5, size=1) random_st.f(D_arr_like_0p5, 0.5) random_st.f(0.5, D_arr_like_0p5) random_st.f(D_arr_0p5, D_arr_0p5) random_st.f(D_arr_like_0p5, D_arr_like_0p5) random_st.f(D_arr_0p5, D_arr_0p5, size=1) random_st.f(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.gamma(0.5, 0.5) random_st.gamma(0.5, 0.5, size=None) random_st.gamma(0.5, 0.5, size=1) random_st.gamma(D_arr_0p5, 0.5) random_st.gamma(0.5, D_arr_0p5) random_st.gamma(D_arr_0p5, 0.5, size=1) random_st.gamma(0.5, D_arr_0p5, size=1) random_st.gamma(D_arr_like_0p5, 0.5) random_st.gamma(0.5, D_arr_like_0p5) random_st.gamma(D_arr_0p5, D_arr_0p5) random_st.gamma(D_arr_like_0p5, D_arr_like_0p5) random_st.gamma(D_arr_0p5, D_arr_0p5, size=1) random_st.gamma(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.gumbel(0.5, 0.5) random_st.gumbel(0.5, 0.5, size=None) random_st.gumbel(0.5, 0.5, size=1) random_st.gumbel(D_arr_0p5, 0.5) random_st.gumbel(0.5, D_arr_0p5) random_st.gumbel(D_arr_0p5, 0.5, size=1) random_st.gumbel(0.5, D_arr_0p5, size=1) random_st.gumbel(D_arr_like_0p5, 0.5) random_st.gumbel(0.5, D_arr_like_0p5) random_st.gumbel(D_arr_0p5, D_arr_0p5) random_st.gumbel(D_arr_like_0p5, D_arr_like_0p5) random_st.gumbel(D_arr_0p5, D_arr_0p5, size=1) random_st.gumbel(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.laplace(0.5, 0.5) random_st.laplace(0.5, 0.5, size=None) random_st.laplace(0.5, 0.5, size=1) random_st.laplace(D_arr_0p5, 0.5) random_st.laplace(0.5, D_arr_0p5) random_st.laplace(D_arr_0p5, 0.5, size=1) random_st.laplace(0.5, D_arr_0p5, size=1) random_st.laplace(D_arr_like_0p5, 0.5) random_st.laplace(0.5, D_arr_like_0p5) random_st.laplace(D_arr_0p5, D_arr_0p5) random_st.laplace(D_arr_like_0p5, D_arr_like_0p5) random_st.laplace(D_arr_0p5, D_arr_0p5, size=1) random_st.laplace(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.logistic(0.5, 0.5) random_st.logistic(0.5, 0.5, size=None) random_st.logistic(0.5, 0.5, size=1) random_st.logistic(D_arr_0p5, 0.5) random_st.logistic(0.5, D_arr_0p5) random_st.logistic(D_arr_0p5, 0.5, size=1) random_st.logistic(0.5, D_arr_0p5, size=1) random_st.logistic(D_arr_like_0p5, 0.5) random_st.logistic(0.5, D_arr_like_0p5) random_st.logistic(D_arr_0p5, D_arr_0p5) random_st.logistic(D_arr_like_0p5, D_arr_like_0p5) random_st.logistic(D_arr_0p5, D_arr_0p5, size=1) random_st.logistic(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.lognormal(0.5, 0.5) random_st.lognormal(0.5, 0.5, size=None) random_st.lognormal(0.5, 0.5, size=1) random_st.lognormal(D_arr_0p5, 0.5) random_st.lognormal(0.5, D_arr_0p5) random_st.lognormal(D_arr_0p5, 0.5, size=1) random_st.lognormal(0.5, D_arr_0p5, size=1) random_st.lognormal(D_arr_like_0p5, 0.5) random_st.lognormal(0.5, D_arr_like_0p5) random_st.lognormal(D_arr_0p5, D_arr_0p5) random_st.lognormal(D_arr_like_0p5, D_arr_like_0p5) random_st.lognormal(D_arr_0p5, D_arr_0p5, size=1) random_st.lognormal(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.noncentral_chisquare(0.5, 0.5) random_st.noncentral_chisquare(0.5, 0.5, size=None) random_st.noncentral_chisquare(0.5, 0.5, size=1) random_st.noncentral_chisquare(D_arr_0p5, 0.5) random_st.noncentral_chisquare(0.5, D_arr_0p5) random_st.noncentral_chisquare(D_arr_0p5, 0.5, size=1) random_st.noncentral_chisquare(0.5, D_arr_0p5, size=1) random_st.noncentral_chisquare(D_arr_like_0p5, 0.5) random_st.noncentral_chisquare(0.5, D_arr_like_0p5) random_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5) random_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5) random_st.noncentral_chisquare(D_arr_0p5, D_arr_0p5, size=1) random_st.noncentral_chisquare(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.normal(0.5, 0.5) random_st.normal(0.5, 0.5, size=None) random_st.normal(0.5, 0.5, size=1) random_st.normal(D_arr_0p5, 0.5) random_st.normal(0.5, D_arr_0p5) random_st.normal(D_arr_0p5, 0.5, size=1) random_st.normal(0.5, D_arr_0p5, size=1) random_st.normal(D_arr_like_0p5, 0.5) random_st.normal(0.5, D_arr_like_0p5) random_st.normal(D_arr_0p5, D_arr_0p5) random_st.normal(D_arr_like_0p5, D_arr_like_0p5) random_st.normal(D_arr_0p5, D_arr_0p5, size=1) random_st.normal(D_arr_like_0p5, D_arr_like_0p5, size=1) random_st.triangular(0.1, 0.5, 0.9) random_st.triangular(0.1, 0.5, 0.9, size=None) random_st.triangular(0.1, 0.5, 0.9, size=1) random_st.triangular(D_arr_0p1, 0.5, 0.9) random_st.triangular(0.1, D_arr_0p5, 0.9) random_st.triangular(D_arr_0p1, 0.5, D_arr_like_0p9, size=1) random_st.triangular(0.1, D_arr_0p5, 0.9, size=1) random_st.triangular(D_arr_like_0p1, 0.5, D_arr_0p9) random_st.triangular(0.5, D_arr_like_0p5, 0.9) random_st.triangular(D_arr_0p1, D_arr_0p5, 0.9) random_st.triangular(D_arr_like_0p1, D_arr_like_0p5, 0.9) random_st.triangular(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1) random_st.triangular(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1) random_st.noncentral_f(0.1, 0.5, 0.9) random_st.noncentral_f(0.1, 0.5, 0.9, size=None) random_st.noncentral_f(0.1, 0.5, 0.9, size=1) random_st.noncentral_f(D_arr_0p1, 0.5, 0.9) random_st.noncentral_f(0.1, D_arr_0p5, 0.9) random_st.noncentral_f(D_arr_0p1, 0.5, D_arr_like_0p9, size=1) random_st.noncentral_f(0.1, D_arr_0p5, 0.9, size=1) random_st.noncentral_f(D_arr_like_0p1, 0.5, D_arr_0p9) random_st.noncentral_f(0.5, D_arr_like_0p5, 0.9) random_st.noncentral_f(D_arr_0p1, D_arr_0p5, 0.9) random_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, 0.9) random_st.noncentral_f(D_arr_0p1, D_arr_0p5, D_arr_0p9, size=1) random_st.noncentral_f(D_arr_like_0p1, D_arr_like_0p5, D_arr_like_0p9, size=1) random_st.binomial(10, 0.5) random_st.binomial(10, 0.5, size=None) random_st.binomial(10, 0.5, size=1) random_st.binomial(I_arr_10, 0.5) random_st.binomial(10, D_arr_0p5) random_st.binomial(I_arr_10, 0.5, size=1) random_st.binomial(10, D_arr_0p5, size=1) random_st.binomial(I_arr_like_10, 0.5) random_st.binomial(10, D_arr_like_0p5) random_st.binomial(I_arr_10, D_arr_0p5) random_st.binomial(I_arr_like_10, D_arr_like_0p5) random_st.binomial(I_arr_10, D_arr_0p5, size=1) random_st.binomial(I_arr_like_10, D_arr_like_0p5, size=1) random_st.negative_binomial(10, 0.5) random_st.negative_binomial(10, 0.5, size=None) random_st.negative_binomial(10, 0.5, size=1) random_st.negative_binomial(I_arr_10, 0.5) random_st.negative_binomial(10, D_arr_0p5) random_st.negative_binomial(I_arr_10, 0.5, size=1) random_st.negative_binomial(10, D_arr_0p5, size=1) random_st.negative_binomial(I_arr_like_10, 0.5) random_st.negative_binomial(10, D_arr_like_0p5) random_st.negative_binomial(I_arr_10, D_arr_0p5) random_st.negative_binomial(I_arr_like_10, D_arr_like_0p5) random_st.negative_binomial(I_arr_10, D_arr_0p5, size=1) random_st.negative_binomial(I_arr_like_10, D_arr_like_0p5, size=1) random_st.hypergeometric(20, 20, 10) random_st.hypergeometric(20, 20, 10, size=None) random_st.hypergeometric(20, 20, 10, size=1) random_st.hypergeometric(I_arr_20, 20, 10) random_st.hypergeometric(20, I_arr_20, 10) random_st.hypergeometric(I_arr_20, 20, I_arr_like_10, size=1) random_st.hypergeometric(20, I_arr_20, 10, size=1) random_st.hypergeometric(I_arr_like_20, 20, I_arr_10) random_st.hypergeometric(20, I_arr_like_20, 10) random_st.hypergeometric(I_arr_20, I_arr_20, 10) random_st.hypergeometric(I_arr_like_20, I_arr_like_20, 10) random_st.hypergeometric(I_arr_20, I_arr_20, I_arr_10, size=1) random_st.hypergeometric(I_arr_like_20, I_arr_like_20, I_arr_like_10, size=1) random_st.randint(0, 100) random_st.randint(100) random_st.randint([100]) random_st.randint(0, [100]) random_st.randint(2, dtype=bool) random_st.randint(0, 2, dtype=bool) random_st.randint(I_bool_high_open, dtype=bool) random_st.randint(I_bool_low, I_bool_high_open, dtype=bool) random_st.randint(0, I_bool_high_open, dtype=bool) random_st.randint(2, dtype=np.bool_) random_st.randint(0, 2, dtype=np.bool_) random_st.randint(I_bool_high_open, dtype=np.bool_) random_st.randint(I_bool_low, I_bool_high_open, dtype=np.bool_) random_st.randint(0, I_bool_high_open, dtype=np.bool_) random_st.randint(256, dtype="u1") random_st.randint(0, 256, dtype="u1") random_st.randint(I_u1_high_open, dtype="u1") random_st.randint(I_u1_low, I_u1_high_open, dtype="u1") random_st.randint(0, I_u1_high_open, dtype="u1") random_st.randint(256, dtype="uint8") random_st.randint(0, 256, dtype="uint8") random_st.randint(I_u1_high_open, dtype="uint8") random_st.randint(I_u1_low, I_u1_high_open, dtype="uint8") random_st.randint(0, I_u1_high_open, dtype="uint8") random_st.randint(256, dtype=np.uint8) random_st.randint(0, 256, dtype=np.uint8) random_st.randint(I_u1_high_open, dtype=np.uint8) random_st.randint(I_u1_low, I_u1_high_open, dtype=np.uint8) random_st.randint(0, I_u1_high_open, dtype=np.uint8) random_st.randint(65536, dtype="u2") random_st.randint(0, 65536, dtype="u2") random_st.randint(I_u2_high_open, dtype="u2") random_st.randint(I_u2_low, I_u2_high_open, dtype="u2") random_st.randint(0, I_u2_high_open, dtype="u2") random_st.randint(65536, dtype="uint16") random_st.randint(0, 65536, dtype="uint16") random_st.randint(I_u2_high_open, dtype="uint16") random_st.randint(I_u2_low, I_u2_high_open, dtype="uint16") random_st.randint(0, I_u2_high_open, dtype="uint16") random_st.randint(65536, dtype=np.uint16) random_st.randint(0, 65536, dtype=np.uint16) random_st.randint(I_u2_high_open, dtype=np.uint16) random_st.randint(I_u2_low, I_u2_high_open, dtype=np.uint16) random_st.randint(0, I_u2_high_open, dtype=np.uint16) random_st.randint(4294967296, dtype="u4") random_st.randint(0, 4294967296, dtype="u4") random_st.randint(I_u4_high_open, dtype="u4") random_st.randint(I_u4_low, I_u4_high_open, dtype="u4") random_st.randint(0, I_u4_high_open, dtype="u4") random_st.randint(4294967296, dtype="uint32") random_st.randint(0, 4294967296, dtype="uint32") random_st.randint(I_u4_high_open, dtype="uint32") random_st.randint(I_u4_low, I_u4_high_open, dtype="uint32") random_st.randint(0, I_u4_high_open, dtype="uint32") random_st.randint(4294967296, dtype=np.uint32) random_st.randint(0, 4294967296, dtype=np.uint32) random_st.randint(I_u4_high_open, dtype=np.uint32) random_st.randint(I_u4_low, I_u4_high_open, dtype=np.uint32) random_st.randint(0, I_u4_high_open, dtype=np.uint32) random_st.randint(18446744073709551616, dtype="u8") random_st.randint(0, 18446744073709551616, dtype="u8") random_st.randint(I_u8_high_open, dtype="u8") random_st.randint(I_u8_low, I_u8_high_open, dtype="u8") random_st.randint(0, I_u8_high_open, dtype="u8") random_st.randint(18446744073709551616, dtype="uint64") random_st.randint(0, 18446744073709551616, dtype="uint64") random_st.randint(I_u8_high_open, dtype="uint64") random_st.randint(I_u8_low, I_u8_high_open, dtype="uint64") random_st.randint(0, I_u8_high_open, dtype="uint64") random_st.randint(18446744073709551616, dtype=np.uint64) random_st.randint(0, 18446744073709551616, dtype=np.uint64) random_st.randint(I_u8_high_open, dtype=np.uint64) random_st.randint(I_u8_low, I_u8_high_open, dtype=np.uint64) random_st.randint(0, I_u8_high_open, dtype=np.uint64) random_st.randint(128, dtype="i1") random_st.randint(-128, 128, dtype="i1") random_st.randint(I_i1_high_open, dtype="i1") random_st.randint(I_i1_low, I_i1_high_open, dtype="i1") random_st.randint(-128, I_i1_high_open, dtype="i1") random_st.randint(128, dtype="int8") random_st.randint(-128, 128, dtype="int8") random_st.randint(I_i1_high_open, dtype="int8") random_st.randint(I_i1_low, I_i1_high_open, dtype="int8") random_st.randint(-128, I_i1_high_open, dtype="int8") random_st.randint(128, dtype=np.int8) random_st.randint(-128, 128, dtype=np.int8) random_st.randint(I_i1_high_open, dtype=np.int8) random_st.randint(I_i1_low, I_i1_high_open, dtype=np.int8) random_st.randint(-128, I_i1_high_open, dtype=np.int8) random_st.randint(32768, dtype="i2") random_st.randint(-32768, 32768, dtype="i2") random_st.randint(I_i2_high_open, dtype="i2") random_st.randint(I_i2_low, I_i2_high_open, dtype="i2") random_st.randint(-32768, I_i2_high_open, dtype="i2") random_st.randint(32768, dtype="int16") random_st.randint(-32768, 32768, dtype="int16") random_st.randint(I_i2_high_open, dtype="int16") random_st.randint(I_i2_low, I_i2_high_open, dtype="int16") random_st.randint(-32768, I_i2_high_open, dtype="int16") random_st.randint(32768, dtype=np.int16) random_st.randint(-32768, 32768, dtype=np.int16) random_st.randint(I_i2_high_open, dtype=np.int16) random_st.randint(I_i2_low, I_i2_high_open, dtype=np.int16) random_st.randint(-32768, I_i2_high_open, dtype=np.int16) random_st.randint(2147483648, dtype="i4") random_st.randint(-2147483648, 2147483648, dtype="i4") random_st.randint(I_i4_high_open, dtype="i4") random_st.randint(I_i4_low, I_i4_high_open, dtype="i4") random_st.randint(-2147483648, I_i4_high_open, dtype="i4") random_st.randint(2147483648, dtype="int32") random_st.randint(-2147483648, 2147483648, dtype="int32") random_st.randint(I_i4_high_open, dtype="int32") random_st.randint(I_i4_low, I_i4_high_open, dtype="int32") random_st.randint(-2147483648, I_i4_high_open, dtype="int32") random_st.randint(2147483648, dtype=np.int32) random_st.randint(-2147483648, 2147483648, dtype=np.int32) random_st.randint(I_i4_high_open, dtype=np.int32) random_st.randint(I_i4_low, I_i4_high_open, dtype=np.int32) random_st.randint(-2147483648, I_i4_high_open, dtype=np.int32) random_st.randint(9223372036854775808, dtype="i8") random_st.randint(-9223372036854775808, 9223372036854775808, dtype="i8") random_st.randint(I_i8_high_open, dtype="i8") random_st.randint(I_i8_low, I_i8_high_open, dtype="i8") random_st.randint(-9223372036854775808, I_i8_high_open, dtype="i8") random_st.randint(9223372036854775808, dtype="int64") random_st.randint(-9223372036854775808, 9223372036854775808, dtype="int64") random_st.randint(I_i8_high_open, dtype="int64") random_st.randint(I_i8_low, I_i8_high_open, dtype="int64") random_st.randint(-9223372036854775808, I_i8_high_open, dtype="int64") random_st.randint(9223372036854775808, dtype=np.int64) random_st.randint(-9223372036854775808, 9223372036854775808, dtype=np.int64) random_st.randint(I_i8_high_open, dtype=np.int64) random_st.randint(I_i8_low, I_i8_high_open, dtype=np.int64) random_st.randint(-9223372036854775808, I_i8_high_open, dtype=np.int64) bg: np.random.BitGenerator = random_st._bit_generator random_st.bytes(2) random_st.choice(5) random_st.choice(5, 3) random_st.choice(5, 3, replace=True) random_st.choice(5, 3, p=[1 / 5] * 5) random_st.choice(5, 3, p=[1 / 5] * 5, replace=False) random_st.choice(["pooh", "rabbit", "piglet", "Christopher"]) random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3) random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, p=[1 / 4] * 4) random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=True) random_st.choice(["pooh", "rabbit", "piglet", "Christopher"], 3, replace=False, p=np.array([1 / 8, 1 / 8, 1 / 2, 1 / 4])) random_st.dirichlet([0.5, 0.5]) random_st.dirichlet(np.array([0.5, 0.5])) random_st.dirichlet(np.array([0.5, 0.5]), size=3) random_st.multinomial(20, [1 / 6.0] * 6) random_st.multinomial(20, np.array([0.5, 0.5])) random_st.multinomial(20, [1 / 6.0] * 6, size=2) random_st.multivariate_normal([0.0], [[1.0]]) random_st.multivariate_normal([0.0], np.array([[1.0]])) random_st.multivariate_normal(np.array([0.0]), [[1.0]]) random_st.multivariate_normal([0.0], np.array([[1.0]])) random_st.permutation(10) random_st.permutation([1, 2, 3, 4]) random_st.permutation(np.array([1, 2, 3, 4])) random_st.permutation(D_2D) random_st.shuffle(np.arange(10)) random_st.shuffle([1, 2, 3, 4, 5]) random_st.shuffle(D_2D) np.random.RandomState(SEED_PCG64) np.random.RandomState(0) np.random.RandomState([0, 1, 2]) random_st.__str__() random_st.__repr__() random_st_state = random_st.__getstate__() random_st.__setstate__(random_st_state) random_st.seed() random_st.seed(1) random_st.seed([0, 1]) random_st_get_state = random_st.get_state() random_st_get_state_legacy = random_st.get_state(legacy=True) random_st.set_state(random_st_get_state) random_st.rand() random_st.rand(1) random_st.rand(1, 2) random_st.randn() random_st.randn(1) random_st.randn(1, 2) random_st.random_sample() random_st.random_sample(1) random_st.random_sample(size=(1, 2)) random_st.tomaxint() random_st.tomaxint(1) random_st.tomaxint((1,)) np.random.set_bit_generator(SEED_PCG64) np.random.get_bit_generator()
webs 1.0 - Enhanced UI