PNG  IHDRQgAMA a cHRMz&u0`:pQ<bKGDgmIDATxwUﹻ& ^CX(J I@ "% (** BX +*i"]j(IH{~R)[~>h{}gy)I$Ij .I$I$ʊy@}x.: $I$Ii}VZPC)I$IF ^0ʐJ$I$Q^}{"r=OzI$gRZeC.IOvH eKX $IMpxsk.쒷/&r[޳<v| .I~)@$updYRa$I |M.e JaֶpSYR6j>h%IRز if&uJ)M$I vLi=H;7UJ,],X$I1AҒJ$ XY XzI@GNҥRT)E@;]K*Mw;#5_wOn~\ DC&$(A5 RRFkvIR}l!RytRl;~^ǷJj اy뷦BZJr&ӥ8Pjw~vnv X^(I;4R=P[3]J,]ȏ~:3?[ a&e)`e*P[4]T=Cq6R[ ~ޤrXR Հg(t_HZ-Hg M$ãmL5R uk*`%C-E6/%[t X.{8P9Z.vkXŐKjgKZHg(aK9ڦmKjѺm_ \#$5,)-  61eJ,5m| r'= &ڡd%-]J on Xm|{ RҞe $eڧY XYrԮ-a7RK6h>n$5AVڴi*ֆK)mѦtmr1p| q:흺,)Oi*ֺK)ܬ֦K-5r3>0ԔHjJئEZj,%re~/z%jVMڸmrt)3]J,T K֦OvԒgii*bKiNO~%PW0=dii2tJ9Jݕ{7"I P9JKTbu,%r"6RKU}Ij2HKZXJ,妝 XYrP ެ24c%i^IK|.H,%rb:XRl1X4Pe/`x&P8Pj28Mzsx2r\zRPz4J}yP[g=L) .Q[6RjWgp FIH*-`IMRaK9TXcq*I y[jE>cw%gLRԕiFCj-ďa`#e~I j,%r,)?[gp FI˨mnWX#>mʔ XA DZf9,nKҲzIZXJ,L#kiPz4JZF,I,`61%2s $,VOϚ2/UFJfy7K> X+6 STXIeJILzMfKm LRaK9%|4p9LwJI!`NsiazĔ)%- XMq>pk$-$Q2x#N ؎-QR}ᶦHZډ)J,l#i@yn3LN`;nڔ XuX5pF)m|^0(>BHF9(cզEerJI rg7 4I@z0\JIi䵙RR0s;$s6eJ,`n 䂦0a)S)A 1eJ,堌#635RIgpNHuTH_SԕqVe ` &S)>p;S$魁eKIuX`I4춒o}`m$1":PI<[v9^\pTJjriRŭ P{#{R2,`)e-`mgj~1ϣLKam7&U\j/3mJ,`F;M'䱀 .KR#)yhTq;pcK9(q!w?uRR,n.yw*UXj#\]ɱ(qv2=RqfB#iJmmL<]Y͙#$5 uTU7ӦXR+q,`I}qL'`6Kͷ6r,]0S$- [RKR3oiRE|nӦXR.(i:LDLTJjY%o:)6rxzҒqTJjh㞦I.$YR.ʼnGZ\ֿf:%55 I˼!6dKxm4E"mG_ s? .e*?LRfK9%q#uh$)i3ULRfK9yxm܌bj84$i1U^@Wbm4uJ,ҪA>_Ij?1v32[gLRD96oTaR׿N7%L2 NT,`)7&ƝL*꽙yp_$M2#AS,`)7$rkTA29_Iye"|/0t)$n XT2`YJ;6Jx".e<`$) PI$5V4]29SRI>~=@j]lp2`K9Jaai^" Ԋ29ORI%:XV5]JmN9]H;1UC39NI%Xe78t)a;Oi Ҙ>Xt"~G>_mn:%|~ޅ_+]$o)@ǀ{hgN;IK6G&rp)T2i୦KJuv*T=TOSV>(~D>dm,I*Ɛ:R#ۙNI%D>G.n$o;+#RR!.eU˽TRI28t)1LWϚ>IJa3oFbu&:tJ*(F7y0ZR ^p'Ii L24x| XRI%ۄ>S1]Jy[zL$adB7.eh4%%누>WETf+3IR:I3Xה)3אOۦSRO'ٺ)S}"qOr[B7ϙ.edG)^ETR"RtRݜh0}LFVӦDB^k_JDj\=LS(Iv─aTeZ%eUAM-0;~˃@i|l @S4y72>sX-vA}ϛBI!ݎߨWl*)3{'Y|iSlEڻ(5KtSI$Uv02,~ԩ~x;P4ցCrO%tyn425:KMlD ^4JRxSهF_}شJTS6uj+ﷸk$eZO%G*^V2u3EMj3k%)okI]dT)URKDS 7~m@TJR~荪fT"֛L \sM -0T KfJz+nإKr L&j()[E&I ߴ>e FW_kJR|!O:5/2跌3T-'|zX ryp0JS ~^F>-2< `*%ZFP)bSn"L :)+pʷf(pO3TMW$~>@~ū:TAIsV1}S2<%ޟM?@iT ,Eūoz%i~g|`wS(]oȤ8)$ ntu`өe`6yPl IzMI{ʣzʨ )IZ2= ld:5+請M$-ї;U>_gsY$ÁN5WzWfIZ)-yuXIfp~S*IZdt;t>KūKR|$#LcԀ+2\;kJ`]YǔM1B)UbG"IRߊ<xܾӔJ0Z='Y嵤 Leveg)$znV-º^3Ւof#0Tfk^Zs[*I꯳3{)ˬW4Ւ4 OdpbZRS|*I 55#"&-IvT&/윚Ye:i$ 9{LkuRe[I~_\ؠ%>GL$iY8 9ܕ"S`kS.IlC;Ҏ4x&>u_0JLr<J2(^$5L s=MgV ~,Iju> 7r2)^=G$1:3G< `J3~&IR% 6Tx/rIj3O< ʔ&#f_yXJiގNSz; Tx(i8%#4 ~AS+IjerIUrIj362v885+IjAhK__5X%nV%Iͳ-y|7XV2v4fzo_68"S/I-qbf; LkF)KSM$ Ms>K WNV}^`-큧32ŒVؙGdu,^^m%6~Nn&͓3ŒVZMsRpfEW%IwdǀLm[7W&bIRL@Q|)* i ImsIMmKmyV`i$G+R 0tV'!V)֏28vU7͒vHꦼtxꗞT ;S}7Mf+fIRHNZUkUx5SAJㄌ9MqμAIRi|j5)o*^'<$TwI1hEU^c_j?Е$%d`z cyf,XO IJnTgA UXRD }{H}^S,P5V2\Xx`pZ|Yk:$e ~ @nWL.j+ϝYb퇪bZ BVu)u/IJ_ 1[p.p60bC >|X91P:N\!5qUB}5a5ja `ubcVxYt1N0Zzl4]7­gKj]?4ϻ *[bg$)+À*x쳀ogO$~,5 زUS9 lq3+5mgw@np1sso Ӻ=|N6 /g(Wv7U;zωM=wk,0uTg_`_P`uz?2yI!b`kĸSo+Qx%!\οe|އԁKS-s6pu_(ֿ$i++T8=eY; צP+phxWQv*|p1. ά. XRkIQYP,drZ | B%wP|S5`~́@i޾ E;Չaw{o'Q?%iL{u D?N1BD!owPHReFZ* k_-~{E9b-~P`fE{AܶBJAFO wx6Rox5 K5=WwehS8 (JClJ~ p+Fi;ŗo+:bD#g(C"wA^ r.F8L;dzdIHUX݆ϞXg )IFqem%I4dj&ppT{'{HOx( Rk6^C٫O.)3:s(۳(Z?~ٻ89zmT"PLtw䥈5&b<8GZ-Y&K?e8,`I6e(֍xb83 `rzXj)F=l($Ij 2*(F?h(/9ik:I`m#p3MgLaKjc/U#n5S# m(^)=y=đx8ŬI[U]~SцA4p$-F i(R,7Cx;X=cI>{Km\ o(Tv2vx2qiiDJN,Ҏ!1f 5quBj1!8 rDFd(!WQl,gSkL1Bxg''՞^ǘ;pQ P(c_ IRujg(Wz bs#P­rz> k c&nB=q+ؔXn#r5)co*Ũ+G?7< |PQӣ'G`uOd>%Mctz# Ԫڞ&7CaQ~N'-P.W`Oedp03C!IZcIAMPUۀ5J<\u~+{9(FbbyAeBhOSܳ1 bÈT#ŠyDžs,`5}DC-`̞%r&ڙa87QWWp6e7 Rϫ/oY ꇅ Nܶըtc!LA T7V4Jsū I-0Pxz7QNF_iZgúWkG83 0eWr9 X]㾮݁#Jˢ C}0=3ݱtBi]_ &{{[/o[~ \q鯜00٩|cD3=4B_b RYb$óBRsf&lLX#M*C_L܄:gx)WΘsGSbuL rF$9';\4Ɍq'n[%p.Q`u hNb`eCQyQ|l_C>Lb꟟3hSb #xNxSs^ 88|Mz)}:](vbۢamŖ࿥ 0)Q7@0=?^k(*J}3ibkFn HjB׻NO z x}7p 0tfDX.lwgȔhԾŲ }6g E |LkLZteu+=q\Iv0쮑)QٵpH8/2?Σo>Jvppho~f>%bMM}\//":PTc(v9v!gոQ )UfVG+! 35{=x\2+ki,y$~A1iC6#)vC5^>+gǵ@1Hy٪7u;p psϰu/S <aʸGu'tD1ԝI<pg|6j'p:tպhX{o(7v],*}6a_ wXRk,O]Lܳ~Vo45rp"N5k;m{rZbΦ${#)`(Ŵg,;j%6j.pyYT?}-kBDc3qA`NWQū20/^AZW%NQ MI.X#P#,^Ebc&?XR tAV|Y.1!؅⨉ccww>ivl(JT~ u`ٵDm q)+Ri x/x8cyFO!/*!/&,7<.N,YDŽ&ܑQF1Bz)FPʛ?5d 6`kQձ λc؎%582Y&nD_$Je4>a?! ͨ|ȎWZSsv8 j(I&yj Jb5m?HWp=g}G3#|I,5v珿] H~R3@B[☉9Ox~oMy=J;xUVoj bUsl_35t-(ՃɼRB7U!qc+x4H_Qo֮$[GO<4`&č\GOc[.[*Af%mG/ ňM/r W/Nw~B1U3J?P&Y )`ѓZ1p]^l“W#)lWZilUQu`-m|xĐ,_ƪ|9i:_{*(3Gѧ}UoD+>m_?VPۅ15&}2|/pIOʵ> GZ9cmíتmnz)yߐbD >e}:) r|@R5qVSA10C%E_'^8cR7O;6[eKePGϦX7jb}OTGO^jn*媓7nGMC t,k31Rb (vyܴʭ!iTh8~ZYZp(qsRL ?b}cŨʊGO^!rPJO15MJ[c&~Z`"ѓޔH1C&^|Ш|rʼ,AwĴ?b5)tLU)F| &g٣O]oqSUjy(x<Ϳ3 .FSkoYg2 \_#wj{u'rQ>o;%n|F*O_L"e9umDds?.fuuQbIWz |4\0 sb;OvxOSs; G%T4gFRurj(֍ڑb uԖKDu1MK{1^ q; C=6\8FR艇!%\YÔU| 88m)֓NcLve C6z;o&X x59:q61Z(T7>C?gcļxѐ Z oo-08jہ x,`' ҔOcRlf~`jj".Nv+sM_]Zk g( UOPyεx%pUh2(@il0ݽQXxppx-NS( WO+轾 nFߢ3M<;z)FBZjciu/QoF 7R¥ ZFLF~#ȣߨ^<쩡ݛкvџ))ME>ώx4m#!-m!L;vv#~Y[đKmx9.[,UFS CVkZ +ߟrY٧IZd/ioi$%͝ب_ֶX3ܫhNU ZZgk=]=bbJS[wjU()*I =ώ:}-蹞lUj:1}MWm=̛ _ ¾,8{__m{_PVK^n3esw5ӫh#$-q=A̟> ,^I}P^J$qY~Q[ Xq9{#&T.^GVj__RKpn,b=`żY@^՝;z{paVKkQXj/)y TIc&F;FBG7wg ZZDG!x r_tƢ!}i/V=M/#nB8 XxЫ ^@CR<{䤭YCN)eKOSƟa $&g[i3.C6xrOc8TI;o hH6P&L{@q6[ Gzp^71j(l`J}]e6X☉#͕ ׈$AB1Vjh㭦IRsqFBjwQ_7Xk>y"N=MB0 ,C #o6MRc0|$)ف"1!ixY<B9mx `,tA>)5ػQ?jQ?cn>YZe Tisvh# GMމȇp:ԴVuږ8ɼH]C.5C!UV;F`mbBk LTMvPʍϤj?ԯ/Qr1NB`9s"s TYsz &9S%U԰> {<ؿSMxB|H\3@!U| k']$U+> |HHMLޢ?V9iD!-@x TIî%6Z*9X@HMW#?nN ,oe6?tQwڱ.]-y':mW0#!J82qFjH -`ѓ&M0u Uγmxϵ^-_\])@0Rt.8/?ٰCY]x}=sD3ojަЫNuS%U}ԤwHH>ڗjܷ_3gN q7[q2la*ArǓԖ+p8/RGM ]jacd(JhWko6ڎbj]i5Bj3+3!\j1UZLsLTv8HHmup<>gKMJj0@H%,W΃7R) ">c, xixј^ aܖ>H[i.UIHc U1=yW\=S*GR~)AF=`&2h`DzT󑓶J+?W+}C%P:|0H܆}-<;OC[~o.$~i}~HQ TvXΈr=b}$vizL4:ȰT|4~*!oXQR6Lk+#t/g lԁߖ[Jڶ_N$k*". xsxX7jRVbAAʯKҎU3)zSNN _'s?f)6X!%ssAkʱ>qƷb hg %n ~p1REGMHH=BJiy[<5 ǁJҖgKR*倳e~HUy)Ag,K)`Vw6bRR:qL#\rclK/$sh*$ 6덤 KԖc 3Z9=Ɣ=o>X Ώ"1 )a`SJJ6k(<c e{%kϊP+SL'TcMJWRm ŏ"w)qc ef꒵i?b7b('"2r%~HUS1\<(`1Wx9=8HY9m:X18bgD1u ~|H;K-Uep,, C1 RV.MR5άh,tWO8WC$ XRVsQS]3GJ|12 [vM :k#~tH30Rf-HYݺ-`I9%lIDTm\ S{]9gOڒMNCV\G*2JRŨ;Rҏ^ڽ̱mq1Eu?To3I)y^#jJw^Ńj^vvlB_⋌P4x>0$c>K†Aļ9s_VjTt0l#m>E-,,x,-W)سo&96RE XR.6bXw+)GAEvL)͞K4$p=Ũi_ѱOjb HY/+@θH9޼]Nԥ%n{ &zjT? Ty) s^ULlb,PiTf^<À] 62R^V7)S!nllS6~͝V}-=%* ʻ>G DnK<y&>LPy7'r=Hj 9V`[c"*^8HpcO8bnU`4JȪAƋ#1_\ XϘHPRgik(~G~0DAA_2p|J묭a2\NCr]M_0 ^T%e#vD^%xy-n}-E\3aS%yN!r_{ )sAw ڼp1pEAk~v<:`'ӭ^5 ArXOI驻T (dk)_\ PuA*BY]yB"l\ey hH*tbK)3 IKZ򹞋XjN n *n>k]X_d!ryBH ]*R 0(#'7 %es9??ښFC,ՁQPjARJ\Ρw K#jahgw;2$l*) %Xq5!U᢯6Re] |0[__64ch&_}iL8KEgҎ7 M/\`|.p,~`a=BR?xܐrQ8K XR2M8f ?`sgWS%" Ԉ 7R%$ N}?QL1|-эټwIZ%pvL3Hk>,ImgW7{E xPHx73RA @RS CC !\ȟ5IXR^ZxHл$Q[ŝ40 (>+ _C >BRt<,TrT {O/H+˟Pl6 I B)/VC<6a2~(XwV4gnXR ϱ5ǀHٻ?tw똤Eyxp{#WK qG%5],(0ӈH HZ])ג=K1j&G(FbM@)%I` XRg ʔ KZG(vP,<`[ Kn^ SJRsAʠ5xՅF`0&RbV tx:EaUE/{fi2;.IAwW8/tTxAGOoN?G}l L(n`Zv?pB8K_gI+ܗ #i?ޙ.) p$utc ~DžfՈEo3l/)I-U?aԅ^jxArA ΧX}DmZ@QLےbTXGd.^|xKHR{|ΕW_h] IJ`[G9{).y) 0X YA1]qp?p_k+J*Y@HI>^?gt.06Rn ,` ?);p pSF9ZXLBJPWjgQ|&)7! HjQt<| ؅W5 x W HIzYoVMGP Hjn`+\(dNW)F+IrS[|/a`K|ͻ0Hj{R,Q=\ (F}\WR)AgSG`IsnAR=|8$}G(vC$)s FBJ?]_u XRvύ6z ŨG[36-T9HzpW̞ú Xg큽=7CufzI$)ki^qk-) 0H*N` QZkk]/tnnsI^Gu't=7$ Z;{8^jB% IItRQS7[ϭ3 $_OQJ`7!]W"W,)Iy W AJA;KWG`IY{8k$I$^%9.^(`N|LJ%@$I}ֽp=FB*xN=gI?Q{٥4B)mw $Igc~dZ@G9K X?7)aK%݅K$IZ-`IpC U6$I\0>!9k} Xa IIS0H$I H ?1R.Чj:4~Rw@p$IrA*u}WjWFPJ$I➓/6#! LӾ+ X36x8J |+L;v$Io4301R20M I$-E}@,pS^ޟR[/s¹'0H$IKyfŸfVOπFT*a$I>He~VY/3R/)>d$I>28`Cjw,n@FU*9ttf$I~<;=/4RD~@ X-ѕzἱI$: ԍR a@b X{+Qxuq$IЛzo /~3\8ڒ4BN7$IҀj V]n18H$IYFBj3̵̚ja pp $Is/3R Ӻ-Yj+L;.0ŔI$Av? #!5"aʄj}UKmɽH$IjCYs?h$IDl843.v}m7UiI=&=0Lg0$I4: embe` eQbm0u? $IT!Sƍ'-sv)s#C0:XB2a w I$zbww{."pPzO =Ɔ\[ o($Iaw]`E).Kvi:L*#gР7[$IyGPI=@R 4yR~̮´cg I$I/<tPͽ hDgo 94Z^k盇΄8I56^W$I^0̜N?4*H`237}g+hxoq)SJ@p|` $I%>-hO0eO>\ԣNߌZD6R=K ~n($I$y3D>o4b#px2$yڪtzW~a $I~?x'BwwpH$IZݑnC㧄Pc_9sO gwJ=l1:mKB>Ab<4Lp$Ib o1ZQ@85b̍ S'F,Fe,^I$IjEdù{l4 8Ys_s Z8.x m"+{~?q,Z D!I$ϻ'|XhB)=…']M>5 rgotԎ 獽PH$IjIPhh)n#cÔqA'ug5qwU&rF|1E%I$%]!'3AFD/;Ck_`9 v!ٴtPV;x`'*bQa w I$Ix5 FC3D_~A_#O݆DvV?<qw+I$I{=Z8".#RIYyjǪ=fDl9%M,a8$I$Ywi[7ݍFe$s1ՋBVA?`]#!oz4zjLJo8$I$%@3jAa4(o ;p,,dya=F9ً[LSPH$IJYЉ+3> 5"39aZ<ñh!{TpBGkj}Sp $IlvF.F$I z< '\K*qq.f<2Y!S"-\I$IYwčjF$ w9 \ߪB.1v!Ʊ?+r:^!I$BϹB H"B;L'G[ 4U#5>੐)|#o0aڱ$I>}k&1`U#V?YsV x>{t1[I~D&(I$I/{H0fw"q"y%4 IXyE~M3 8XψL}qE$I[> nD?~sf ]o΁ cT6"?'_Ἣ $I>~.f|'!N?⟩0G KkXZE]ޡ;/&?k OۘH$IRۀwXӨ<7@PnS04aӶp.:@\IWQJ6sS%I$e5ڑv`3:x';wq_vpgHyXZ 3gЂ7{{EuԹn±}$I$8t;b|591nءQ"P6O5i }iR̈́%Q̄p!I䮢]O{H$IRϻ9s֧ a=`- aB\X0"+5"C1Hb?߮3x3&gşggl_hZ^,`5?ߎvĸ%̀M!OZC2#0x LJ0 Gw$I$I}<{Eb+y;iI,`ܚF:5ܛA8-O-|8K7s|#Z8a&><a&/VtbtLʌI$I$I$I$I$I$IRjDD%tEXtdate:create2022-05-31T04:40:26+00:00!Î%tEXtdate:modify2022-05-31T04:40:26+00:00|{2IENDB`Mini Shell

HOME


Mini Shell 1.0
DIR:/proc/self/root/usr/share/emacs/26.1/lisp/mh-e/
Upload File :
Current File : //proc/self/root/usr/share/emacs/26.1/lisp/mh-e/mh-junk.elc
;ELC
;;; Compiled
;;; in Emacs version 26.1
;;; with all optimizations.

;;; This file uses dynamic docstrings, first added in Emacs 19.29.

;;; This file does not contain utf-8 non-ASCII characters,
;;; and so can be loaded in Emacs versions earlier than 23.

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;


(byte-code "\300\301!\210\300\302!\207" [require mh-e mh-scan] 2)
#@480 Blacklist RANGE as spam.

This command trains the spam program in use (see the option
`mh-junk-program') with the content of RANGE and then handles the
message(s) as specified by the option `mh-junk-disposition'.

Check the documentation of `mh-interactive-range' to see how RANGE is
read in interactive use.

For more information about using your particular spam fighting
program, see:

  - `mh-spamassassin-blacklist'
  - `mh-bogofilter-blacklist'
  - `mh-spamprobe-blacklist'
(defalias 'mh-junk-blacklist #[(range) "\247\203\306\307\211#\203\302\310\311!\210\202\302:\203L@\247\203LA\247\203L\212@b\210\312 \210`AX\203Hm\204H\313	!\203B\310\311!\210\314y\210\202-)\202\302\203[9\203[\315!\202h;\203g\316\n\"\202h\317 \211\311\211\203\221@\211\320\307#\210*A\211\204u*\212eb\210\312 \210`dX\203\301m\204\301\313	!\203\273\321\307!\322\"\203\272\310\311!\210)\314y\210\202\231+\313!\205\313\323 \207" [range mh-scan-valid-regexp mh-current-folder #1=#:seq-hash-table #2=#:msgs msg mh-goto-msg t mh-blacklist-a-msg nil beginning-of-line looking-at 1 mh-seq-to-msgs mh-translate-range make-hash-table puthash mh-get-msg-num gethash mh-next-msg --dolist-tail-- #3=#:v #4=#:v v mh-scan-blacklisted-msg-regexp] 5 (#$ . 475) (list (mh-interactive-range "Blacklist"))])
#@168 Blacklist MESSAGE.
If MESSAGE is nil then the message at point is blacklisted.
The hook `mh-blacklisted-msg-hook' is called after you mark a message
for blacklisting.
(defalias 'mh-blacklist-a-msg #[(message) "\212\247\203\306\307\310#\210\202\311 \210\312\310!\313	!\203#\314\315\"\202g\313\n!\2030\314\316\"\202g\313!\203=\314\317\"\202g\313\f!\203G\307\202g\320\310!\210
B>\204\\B\321\307#\210\322\323!)\207" [message mh-scan-refiled-msg-regexp mh-scan-deleted-msg-regexp mh-scan-whitelisted-msg-regexp mh-scan-blacklisted-msg-regexp mh-blacklist mh-goto-msg nil t beginning-of-line mh-get-msg-num looking-at error "Message %d is refiled; undo refile before blacklisting" "Message %d is deleted; undo delete before blacklisting" "Message %d is whitelisted; undo before blacklisting" mh-set-folder-modified-p mh-notate run-hooks mh-blacklist-msg-hook mh-seen-list mh-note-blacklisted mh-cmd-note] 4 (#$ . 1812)])
#@43 Determines the fate of the selected spam.
(defalias 'mh-junk-blacklist-disposition #[nil "\204\302\207\303\232\203\304\207\305H\306=\203\207\305H\307=\203(	\310\311\302OQ\207\304P\207" [mh-junk-disposition mh-current-folder nil "" "+" 0 43 64 "/" 1] 5 (#$ . 2767)])
#@213 Blacklist RANGE as spam.
This command trains the spam program in use (see the option
`mh-junk-program') with the content of RANGE and then handles the
message(s) as specified by the option `mh-junk-disposition'.
(defalias 'mh-junk-process-blacklist #[(range) "\306	\"A@\211\204\307\310!\210\247\2031\311\312\211#\203\313\314\f\"\210\nK\f!\210\313\315\f\"\210)\202:\203y@\247\203yA\247\203y\212@b\210\316 \210`AX\203um\204u\317
!\203o\320\312!\313\314\f\"\210\nK\f!\210\313\315\f\"\210)\321y\210\202J)\202\203\2109\203\210\322!\202\226;\203\225\323\"\202\226\324 \211\325\211\203\302@\211\326\312#\210*A\211\204\245*\212eb\210\316 \210`dX\203m\204\317
!\203\374\320\312!\327\"\203\373\313\314\f\"\210\nK\f!\210\313\315\f\"\210))\321y\210\202\312+\330 )\207" [mh-junk-choice mh-junk-function-alist blacklist-func range msg mh-scan-valid-regexp assoc error "Customize `mh-junk-program' appropriately" mh-goto-msg t message "Blacklisting message %d..." "Blacklisting message %d...done" beginning-of-line looking-at mh-get-msg-num 1 mh-seq-to-msgs mh-translate-range make-hash-table nil puthash gethash mh-next-msg mh-current-folder #1=#:seq-hash-table #2=#:msgs --dolist-tail-- #3=#:v #4=#:v v] 5 (#$ . 3054)])
#@297 Whitelist RANGE as ham.

This command reclassifies the RANGE as ham if it were incorrectly
classified as spam (see the option `mh-junk-program'). It then
refiles the message into the "+inbox" folder.

Check the documentation of `mh-interactive-range' to see how
RANGE is read in interactive use.
(defalias 'mh-junk-whitelist #[(range) "\247\203\306\307\211#\203\302\310\311!\210\202\302:\203L@\247\203LA\247\203L\212@b\210\312 \210`AX\203Hm\204H\313	!\203B\310\311!\210\314y\210\202-)\202\302\203[9\203[\315!\202h;\203g\316\n\"\202h\317 \211\311\211\203\221@\211\320\307#\210*A\211\204u*\212eb\210\312 \210`dX\203\301m\204\301\313	!\203\273\321\307!\322\"\203\272\310\311!\210)\314y\210\202\231+\313!\205\313\323 \207" [range mh-scan-valid-regexp mh-current-folder #1=#:seq-hash-table #2=#:msgs msg mh-goto-msg t mh-junk-whitelist-a-msg nil beginning-of-line looking-at 1 mh-seq-to-msgs mh-translate-range make-hash-table puthash mh-get-msg-num gethash mh-next-msg --dolist-tail-- #3=#:v #4=#:v v mh-scan-whitelisted-msg-regexp] 5 (#$ . 4351) (list (mh-interactive-range "Whitelist"))])
#@166 Whitelist MESSAGE.
If MESSAGE is nil then the message at point is whitelisted. The
hook `mh-whitelist-msg-hook' is called after you mark a message
for whitelisting.
(defalias 'mh-junk-whitelist-a-msg #[(message) "\212\247\203\306\307\310#\210\202\311 \210\312\310!\313	!\203#\314\315\"\202Z\313\n!\2030\314\316\"\202Z\313!\203=\314\317\"\202Z\313\f!\203G\307\202Z\320\310!\210
B\321\307#\210\322\323!)\207" [message mh-scan-refiled-msg-regexp mh-scan-deleted-msg-regexp mh-scan-blacklisted-msg-regexp mh-scan-whitelisted-msg-regexp mh-whitelist mh-goto-msg nil t beginning-of-line mh-get-msg-num looking-at error "Message %d is refiled; undo refile before whitelisting" "Message %d is deleted; undo delete before whitelisting" "Message %d is blacklisted; undo before whitelisting" mh-set-folder-modified-p mh-notate run-hooks mh-whitelist-msg-hook mh-note-whitelisted mh-cmd-note] 4 (#$ . 5511)])
#@147 Whitelist RANGE as ham.

This command reclassifies the RANGE as ham if it were incorrectly
classified as spam (see the option `mh-junk-program').
(defalias 'mh-junk-process-whitelist #[(range) "\306\307	\"8\211\204\310\311!\210\247\2031\312\313\211#\203\314\315\f\"\210\nK\f!\210\314\316\f\"\210)\202:\203y@\247\203yA\247\203y\212@b\210\317 \210`AX\203um\204u\320
!\203o\321\313!\314\315\f\"\210\nK\f!\210\314\316\f\"\210)\322y\210\202J)\202\203\2109\203\210\323!\202\226;\203\225\324\"\202\226\325 \211\326\211\203\302@\211\327\313#\210*A\211\204\245*\212eb\210\317 \210`dX\203m\204\320
!\203\374\321\313! \330 \"\203\373 \314\315\f\"\210\nK\f!\210\314\316\f\"\210))\322y\210\202\312+\331 )\207" [mh-junk-choice mh-junk-function-alist whitelist-func range msg mh-scan-valid-regexp 2 assoc error "Customize `mh-junk-program' appropriately" mh-goto-msg t message "Whitelisting message %d..." "Whitelisting message %d...done" beginning-of-line looking-at mh-get-msg-num 1 mh-seq-to-msgs mh-translate-range make-hash-table nil puthash gethash mh-next-msg mh-current-folder #1=#:seq-hash-table #2=#:msgs --dolist-tail-- #3=#:v #4=#:v v] 5 (#$ . 6440)])
(defvar mh-spamassassin-executable (executable-find "spamassassin"))
(defvar mh-sa-learn-executable (executable-find "sa-learn"))
#@3169 Blacklist MSG with SpamAssassin.

SpamAssassin is one of the more popular spam filtering programs.
Get it from your local distribution or from the SpamAssassin web
site at URL `http://spamassassin.org/'.

To use SpamAssassin, add the following recipes to
".procmailrc":

    PATH=$PATH:/usr/bin/mh
    MAILDIR=$HOME/`mhparam Path`

    # Fight spam with SpamAssassin.
    :0fw
    | spamc

    # Anything with a spam level of 10 or more is junked immediately.
    :0:
    * ^X-Spam-Level: ..........
    /dev/null

    :0:
    * ^X-Spam-Status: Yes
    spam/.

If you don't use "spamc", use "spamassassin -P -a".

Note that one of the recipes above throws away messages with a
score greater than or equal to 10. Here's how you can determine a
value that works best for you.

First, run "spamassassin -t" on every mail message in your
archive and use Gnumeric to verify that the average plus the
standard deviation of good mail is under 5, the SpamAssassin
default for "spam".

Using Gnumeric, sort the messages by score and view the messages
with the highest score. Determine the score which encompasses all
of your interesting messages and add a couple of points to be
conservative. Add that many dots to the "X-Spam-Level:" header
field above to send messages with that score down the drain.

In the example above, messages with a score of 5-9 are set aside
in the "+spam" folder for later review. The major weakness of
rules-based filters is a plethora of false positives so it is
worthwhile to check.

If SpamAssassin classifies a message incorrectly, or is unsure,
you can use the MH-E commands \[mh-junk-blacklist] and
\[mh-junk-whitelist].

The command \[mh-junk-blacklist] adds a "blacklist_from" entry
to "~/spamassassin/user_prefs", deletes the message, and sends
the message to the Razor, so that others might not see this spam.
If the "sa-learn" command is available, the message is also
recategorized as spam.

The command \[mh-junk-whitelist] adds a "whitelist_from" rule
to the "~/.spamassassin/user_prefs" file. If the "sa-learn"
command is available, the message is also recategorized as ham.

Over time, you'll observe that the same host or domain occurs
repeatedly in the "blacklist_from" entries, so you might think
that you could avoid future spam by blacklisting all mail from a
particular domain. The utility function
`mh-spamassassin-identify-spammers' helps you do precisely that.
This function displays a frequency count of the hosts and domains
in the "blacklist_from" entries from the last blank line in
"~/.spamassassin/user_prefs" to the end of the file. This
information can be used so that you can replace multiple
"blacklist_from" entries with a single wildcard entry such as:

    blacklist_from *@*amazingoffersdirect2u.com

In versions of SpamAssassin (2.50 and on) that support a Bayesian
classifier, \[mh-junk-blacklist] uses the program "sa-learn"
to recategorize the message as spam. Neither MH-E, nor
SpamAssassin, rebuilds the database after adding words, so you
will need to run "sa-learn --rebuild" periodically. This can be
done by adding the following to your crontab:

    0 * * * *   sa-learn --rebuild > /dev/null 2>&1
(defalias 'mh-spamassassin-blacklist #[(msg) "\204\306\307!\210	\310\n	\"\311\312\313\n\"\210\314 \210r&q\210\315\f'\311\316\317&\210(\203D\312\320\n\"\210\314 \210\315(\f'\311\321\322\323\324&\210)\312\325\n\"\210r\326)!q\210\327 \210\315\330*+\"\311\331\311\332\333\n\"
\334\335&\210eb\210\336\337\311\331#\203\203\340\341!\342\343\"\210\312\344\n\"\202\207\312\345\n\",\207" [mh-spamassassin-executable mh-current-folder msg sender msg-file current-folder error "Unable to find the spamassassin executable" mh-msg-filename nil message "Reporting message %d..." mh-truncate-log-buffer call-process "-r" "-R" "Recategorizing message %d as spam..." "--single" "--spam" "--local" "--no-rebuild" "Blacklisting sender of message %d..." get-buffer-create erase-buffer expand-file-name t format "%d" "-format" "%<(mymbox{from})%|%(addr{from})%>" search-forward-regexp "^\\(.+\\)$" match-string 0 mh-spamassassin-add-rule "blacklist_from" "Blacklisting sender of message %d...done" "Blacklisting sender of message %d...not done (from my address)" mh-log-buffer mh-junk-background mh-sa-learn-executable mh-temp-buffer mh-scan-prog mh-progs] 9 (#$ . 7807)])
#@276 Whitelist MSG with SpamAssassin.

The \[mh-junk-whitelist] command adds a "whitelist_from" rule to
the "~/.spamassassin/user_prefs" file. If the "sa-learn" command
is available, the message is also recategorized as ham.

See `mh-spamassassin-blacklist' for more information.
(defalias 'mh-spamassassin-whitelist #[(msg) "\204\306\307!\210\310	\n\"\311!\312r\313 !q\210\314 \210\315\316	\"\210\317\320\312\321%\210
\2034\322
!\210\323!\210!\203[\315\324	\"\210\325 \210r\"q\210\317!#\312\326\327\330\331&\210)\315\332	\"\210\312\322\312!\210\f\203u\f\333\232\204u\334\335\f\"\210\315\336	\",\207" [mh-spamassassin-executable msg mh-current-folder mh-show-buffer from show-buffer error "Unable to find the spamassassin executable" mh-msg-filename get-buffer nil get-buffer-create erase-buffer message "Removing spamassassin markup from message %d..." call-process t "-d" kill-buffer write-file "Recategorizing message %d as ham..." mh-truncate-log-buffer "--single" "--ham" "--local" "--no-rebuild" "Whitelisting sender of message %d..." "" mh-spamassassin-add-rule "whitelist_from" "Whitelisting sender of message %d...done" msg-file mh-temp-buffer mh-sa-learn-executable mh-log-buffer mh-junk-background] 9 (#$ . 12156)])
#@100 Add a new rule to "~/.spamassassin/user_prefs".
The name of the rule is RULE and its body is BODY.
(defalias 'mh-spamassassin-add-rule #[(rule body) "\306 \307\216\310\311	\n#\312\313\314!\315
!\316
!\210\317\310\320\"\321\312#\2048db\210n\2030\322\2021\323\261\210\324 \210?\205A\325\321!.\207" [#1=#:wconfig rule body line case-fold-search file current-window-configuration #[nil "\301!\207" [#1# set-window-configuration] 2] format "%s	%s\n" t expand-file-name "~/.spamassassin/user_prefs" find-buffer-visiting find-file search-forward "\n%s" nil "" "\n" save-buffer kill-buffer buffer-exists] 4 (#$ . 13411)])
#@399 Identify spammers who are repeat offenders.

This function displays a frequency count of the hosts and domains
in the "blacklist_from" entries from the last blank line in
"~/.spamassassin/user_prefs" to the end of the file. This
information can be used so that you can replace multiple
"blacklist_from" entries with a single wildcard entry such as:

    blacklist_from *@*amazingoffersdirect2u.com
(defalias 'mh-spamassassin-identify-spammers #[nil "\306\307!\310\311\312\"\313!\210dSb\210\314\315!\210\212\316\317\320\321#\203V\322\323!\320\324\325\326\"!A\211\203R\327@	\"@	\330\f\n\204E\331\202F\nT
#\210*A\211\2040*\202)\332 \210\333\334\335!!\210\336 \210\337\340	\"\210\341\323ed#\210\342ed\"\210eb*\207" [file domains value host #1=#:v #2=#:v expand-file-name "~/.spamassassin/user_prefs" make-hash-table :test equal find-file search-backward-regexp "^$" search-forward-regexp "^blacklist_from\\s-*\\(.*\\)@\\(.*\\)$" nil t match-string 2 reverse split-string "\\." gethash puthash 0 delete-other-windows pop-to-buffer get-buffer-create "*MH-E Spammer Frequencies*" erase-buffer maphash #[(key value) "\302V\205\f\303\304	#c\207" [value key 2 format "%s %s\n"] 4 ""] sort-numeric-fields reverse-region] 5 (#$ . 14049) nil])
(defvar mh-bogofilter-executable (executable-find "bogofilter"))
#@1371 Blacklist MSG with bogofilter.

Bogofilter is a Bayesian spam filtering program. Get it from your
local distribution or from the bogofilter web site at URL
`http://bogofilter.sourceforge.net/'.

Bogofilter is taught by running:

    bogofilter -n < good-message

on every good message, and

    bogofilter -s < spam-message

on every spam message. This is called a full training; three other
training methods are described in the FAQ that is distributed with
bogofilter. Note that most Bayesian filters need 1000 to 5000 of each
type of message to start doing a good job.

To use bogofilter, add the following recipes to ".procmailrc":

    PATH=$PATH:/usr/bin/mh
    MAILDIR=$HOME/`mhparam Path`

    # Fight spam with bogofilter.
    :0fw
    | bogofilter -3 -e -p

    :0:
    * ^X-Bogosity: Yes, tests=bogofilter
    spam/.

    :0:
    * ^X-Bogosity: Unsure, tests=bogofilter
    spam/unsure/.

If bogofilter classifies a message incorrectly, or is unsure, you can
use the MH-E commands \[mh-junk-blacklist] and \[mh-junk-whitelist]
to update bogofilter's training.

The "Bogofilter FAQ" suggests that you run the following
occasionally to shrink the database:

    bogoutil -d wordlist.db | bogoutil -l wordlist.db.new
    mv wordlist.db wordlist.db.prv
    mv wordlist.db.new wordlist.db

The "Bogofilter tuning HOWTO" describes how you can fine-tune Bogofilter.
(defalias 'mh-bogofilter-blacklist #[(msg) "\204\306\307!\210\310	\n\"\311 \210r\fq\210\312
\313\314%*\207" [mh-bogofilter-executable msg mh-current-folder msg-file mh-log-buffer mh-junk-background error "Unable to find the bogofilter executable" mh-msg-filename mh-truncate-log-buffer call-process nil "-s"] 6 (#$ . 15377)])
#@85 Whitelist MSG with bogofilter.

See `mh-bogofilter-blacklist' for more information.
(defalias 'mh-bogofilter-whitelist #[(msg) "\204\306\307!\210\310	\n\"\311 \210r\fq\210\312
\313\314%*\207" [mh-bogofilter-executable msg mh-current-folder msg-file mh-log-buffer mh-junk-background error "Unable to find the bogofilter executable" mh-msg-filename mh-truncate-log-buffer call-process nil "-n"] 6 (#$ . 17085)])
(defvar mh-spamprobe-executable (executable-find "spamprobe"))
#@635 Blacklist MSG with SpamProbe.

SpamProbe is a Bayesian spam filtering program. Get it from your
local distribution or from the SpamProbe web site at URL
`http://spamprobe.sourceforge.net'.

To use SpamProbe, add the following recipes to ".procmailrc":

    PATH=$PATH:/usr/bin/mh
    MAILDIR=$HOME/`mhparam Path`

    # Fight spam with SpamProbe.
    :0
    SCORE=| spamprobe receive

    :0 wf
    | formail -I "X-SpamProbe: $SCORE"

    :0:
    *^X-SpamProbe: SPAM
    spam/.

If SpamProbe classifies a message incorrectly, you can use the
MH-E commands \[mh-junk-blacklist] and \[mh-junk-whitelist] to
update SpamProbe's training.
(defalias 'mh-spamprobe-blacklist #[(msg) "\204\306\307!\210\310	\n\"\311 \210r\fq\210\312
\313\314%*\207" [mh-spamprobe-executable msg mh-current-folder msg-file mh-log-buffer mh-junk-background error "Unable to find the spamprobe executable" mh-msg-filename mh-truncate-log-buffer call-process nil "spam"] 6 (#$ . 17571)])
#@83 Whitelist MSG with SpamProbe.

See `mh-spamprobe-blacklist' for more information.
(defalias 'mh-spamprobe-whitelist #[(msg) "\204\306\307!\210\310	\n\"\311 \210r\fq\210\312
\313\314%*\207" [mh-spamprobe-executable msg mh-current-folder msg-file mh-log-buffer mh-junk-background error "Unable to find the spamprobe executable" mh-msg-filename mh-truncate-log-buffer call-process nil "good"] 6 (#$ . 18542)])
(provide 'mh-junk)