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$ ( F9~‹9~9\$p AAA A0Atx; pAtxtA4DxA|AAۅ|H.@Euap$۽UA$۽3ۭۭ#p $dxA݅htݝhpAɋAtAH9x;5PADžxDžhDžlDždx;=PAqx5`A@97AAUvxA9~DžtxAH9tMvd tAC5pAʉ1tC91w9u A9uD?vDA9uD?DpACtA 9~ы19g0A1ۋtx;EvAApAtxAAC|ۅ|5@.@ʹ]5dA9\AAAvAxM\9~ЃpAPUR`APQ`AP A 5 AtApADž9@9z DG9>  F9~‹9~9\ p AAA A0Atx; pAtxtAxDp$:dA݅hݝhpAɋAtAH9-x;PApA9 UA9~ۅdh[^_ܵh]Powell v #Number of iterations = %d, -2 Log likelihood = %.12f & #Number of iterations = %d, -2 Log likelihood = %.12f &#Number of iterations = %d, -2 Log likelihood = %.12f U,WVS}E]PÃuAh0@LB@Ph@h<@LB@P̔ j诔vP臔CuAh0@LB@P臔h@h<@LB@Pl jOvCUMUM9Lщ @9~9?q9,9uD?DB9~ԉ9~ƒh%C@虓h%C@APƓE$ PURMQuuWSE PN U RM$у$EPh0C@C E PU$҃$EPhpC@APW0M QE$Ѓ$EPhC@EP-e[^_]Ív Calculation of the hessian matrix. Wait... .%d%d' Inverting the hessian to get the covariance matrix. Wait... #Hessian matrix# %.3e Uh0@LB@Ph@h<@LB@Pő j訑M]AuЉ];EUM\Ӊ@;E~hE@4hE@APa ;uqVh@ LB P Vh@AP"APĐ EPVuuU RM F;u~;u~;]zv9~mSVhF@uLB PT SVhF@AP菐AP1 SVEPU RM؋C;]~;unh@h@AP& h0F@֏h0F@APEЃ PяEu?h0@LB@Pяh@h<@LB@P趏 j虏]؃PuUBu@h0@LB@Prh@h<@LB@PW j:MA;EU]Lщ @;E~EЃPEuAh0@LB@Ph@h<@LB@PԎ j跎v]؃P葎UBu@h0@LB@P莎h@h<@LB@Ps jVMA;EU]Lщ @;E~EЃP EuAh0@LB@P h@@h<@LB@P jӍvEЃP豍E܃u?h0@LB@P豍h]@h<@LB@P薍 jy;u1~;]vEMC;]~;u~ы]SEܻPURMQ;]{v{;uvEDF;u~UD?RMQEPUR軈;uvMUF;u~;]~hnF@^hnF@k~;]GvM$hF@(U$ChF@APH ;]~h@h@AP ;u~;u/~;]vMMC;]~;u~ы]SEPURMQ]CP膋S}U BPkMQ_ ]SPE܃PAUBP/MQ#e[^_]Ð$@-C6??UlWVSE EݝP۽CݝlAۭ~v]@9~Džۅ$M@$۽ۭɃݝݝ}؍v݅ۅ݅ʋEɋUS۽qEUۭܥS۽۽< ۭܥۭM@5M@M@Et Euپ vM@EtEuJM@ M@ٽff f٭۝٭)EtEu ݕF "݅EU[^_]Í??U|WVSE} PEݝUؐ lAS9 U‹@9~쉝EۅU‹U0EЋ2V۽ܥEۭɃUݝ‹U0E,Ћ2V۽ܥEۭɃ Uݝ,‹U0EЋ2V۽rEۭU,ʋUܥʋ0E,Ћ2V۽۽݅ܥܥۭE ۭU PP@44 XP@*x[^_]ÐSingular matrix in routine ludcmp#B ;U,WVSU PEu>h0@LB@Ph@@h<@LB@Pم j輅]C?;] {};u  E EuF;u ~D@u@؃h0@LB@PThR@h<@LB@P9 jUڋ];] j;u lR@~}9}AU{}9}Uv}} A9|]9|;u ^vU{}9}Uv}} A9|E uى]؋];] ~;utB;M #}]ʋA;M ~݋EU]ڋ}EULWVSE8]E@]EH]EP]EX]E`ݝxEhݝpuEpFݝhDž@DžDDž8Dž<P/0u>h0@LB@P,h@@h<@LB@P j]+E xPƀ, u?h0@LB@P轀h@h<@LB@P袀 j腀EǍP^,Bu>h0@LB@PXh@h<@LB@P= j U ,)Ѝ]A;M,|ljUʉvL0GdЋ0;~Љ;]~;](vɋ,0dC;]~ۻ;]"08W@PuB 0W@$S$ShV@۽۽9uۭ ۭ 0W@$S$ShV@AP۽۽4u ۭۭxvPu2S$ShV@۽۽tۭ ۭS$ShV@AP۽۽tۭ ۭɋU9d8W@u}Ƀ$,d$ȃ$QhV@4W۽۽?tۭ0@Ad\ۭTɃ$,d$RhV@4Q۽۽sۭ ۭɃC;]؋tAEEЍs9vLdE@tZPu$WShV@r ؋Ld$WShV@APs ءtAGU9jʋE9A]9dh@4VrPuhW@]rh@APrd 9`U,;`T9D݅@ܵ8A4PwqLQBPqLCPq Vq0Wq,@Piq,RZq[^_]ÐError on individual =%d agev[m][i]=%f m=%d t&(@h㈵>U|WVSE}fEf fEm]mE}fUf fUm]mEh0@LB@Pph@h<@LB@P}p j`pE ÍP:puȃFuAh0@LB@P7ph@h<@LB@Pp jovUЃ})йGU;M vUȋ\ÉA;M ~E5hAuԃ=`AE}0GEE9EUBMU]0;ũu@EE} E9}AUvE@}ЉE9 M]ȋDG;}~uu} 9~EE$9EbUEBU=`A~shA9Ed AMċA]=A}EEċU}܋ U},EEEE@tEF;u~}}L;}P]4uM85g@Uz]È@iMD@u E@EEM]D@uẼEEڋM]}fuf fum]Em;E|$}fMf fMm]Em;E~W]$Shg@/m uU ;E ]uu}f]f f]m]muu}fUf fUm]Mmu䡀AEËUMȋ]̋AD\G;}PQuu}$9EЉEU9g@]C];M uȋ}A;M ~;M DE9E0È@s"U@A]ȋu}܋A;M ~؋EEU9y؋EM]0;uu}9LEȃ@EEPkUȃRkx[^_] Warning, no any valid information for:%d line=%d and may be others, see log file &'Warning, no any valid information for:%d line=%d &'Delay (in months) between two waves Min=%d Max=%d Mean=%f v@p@(@?ULWVSEEE1A0AAA;},EU$GEBM;E0&~EuM;U(|ًuM09 ~EuMuE4uEuW@APhpm@iuW@APhm@APi};},J;},^EWU܋M]; 6u Xn@uؐ}4U؋M]uDM09 ]Pn@EUɋM] `n@$}-h}fuf fum]mm}uEEE;0A|0AU;AA}M ]uɋ`n@$}g}fEf fEm]mEmU;0A|0AM; A AEE]؋E}4MËUsE4)‰E4)=pA-uU؋M]avU؋4H9u؋]uU؋4]u U؋<u]u EEEU;؋};},E}A$0APAPhn@f A$0APAPhn@APfe[^_]ÍvUWEVSEhAEEIyv0AA~0AVU;]IM M=AMU}fEf fEm]Um;U~UC;]~1;]U<t0AC;]~0A;>MM1CvA#}<t}}  B0A;~;~ʡ0Au`A9EHvIy`A9UuC9~M<t;A ABC~JhA[^_]# Health expectancies # Age %1d-%1d (SE)Problem %d lower than %d %d|%3.0f %9.4f (%.4f)@`@(@?UWVSE PUR]SjSj茞EЃ lA@P0dEu>h0@LB@P0dh@@h<@LB@Pd jc5lAPcEu@h0@LB@Pch@h<@LB@Pc jc؃ƍPscMAu>h0@LB@Ppch@h<@LB@PUc j8c}GUtL9Mt։4@9~tPbEu?h0@LB@Pbh@h<@LB@Pb jbtPwbUBu>h0@LB@Ptbh@h<@LB@PYb ja]0]EE}]EEE ]$ tUht@eE pt@xt@$j`}fMf fMm]Em}EPjEtAPjPj0Eԃ]SjlAPjuVjCܚuẼ P|`Eu>h0@LB@P|`h@h<@LB@Pa` jD`؃EtP`}u?h0@LB@P`h@h<@LB@P_ j_U4M}IẼuuxpH;Ut}DȉB;U~4P`_Eu>h0@LB@P`_h@h<@LB@PE_ j(_tEP^UuAh0@LB@P^h@h<@LB@P^ j^vMl;Etv]|׉<@;E~E,PU(RM$Q]S}WEPURuuMQ]S訯u0EE5pt@]UĿB@94lAM;}u]4u vUG9~؃M,Q](Su$V}WEPURMQuu]SuVE0;uxt@^;}x8UEEMDG8X9U7MEMԋMDEA‰Mx9~؋X;}~؉;u\ؿlA9/M;}u]4u$ vUG9~؃M,Q](Su$V}WEPURMQuu]SuVۭE0;uxt@^;}x8UEEMDG8X9U7MEMԋMDEA‰Mx9~؋X;}~؉;u\ؾ;txt@xtM

Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)


%s
# Variance and covariance of health expectancies e.j # (weighted average of eij where weights are the stable prevalence in health states i Cov(e%1d, e%1d)%3d %d %11.3e %11.3e %11.3e %11.3e %.0f %.4f&' set noparametric;set nolabel; set ter png small;set size 0.65, 0.65 set log y; set nolog x;set xlabel "Age"; set ylabel "Force of mortality (year-1)";t&' plot "%s" u 1:($3) not w l 1 replot "%s" u 1:(($3+1.96*$4)) t "95%% interval" w l 2 t& replot "%s" u 1:(($3-1.96*$4)) not w l 2
File (multiple files are possible if covariates are present): %s &
Probability is computed over estepm=%d months.

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Computing and drawing one step probabilities with their confidence intervals

  • Computing matrix of variance-covariance of step probabilities

  • ' We have drawn ellipsoids of confidence around the pij, pkl to understand the covariance between two incidences. They are expressed in year-1 in order to be less dependent of stepm.
    t&
    We have drawn x'cov-1x = 4 where x is the column vector (pij,pkl). It means that if pij and pkl where uncorrelated the (2X2) matrix would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis.
    When both incidences are correlated we diagonalised the inverse of the covariance matrix and made the appropriate rotation.
    ********** # V%d=%d
    ********** Variable **********
    %d %11.3e (%11.3e) %11.3e %d %d-%d %11.3e&%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f Others in log... '%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f set parametric;unset labelv set log y;set log x; set xlabel "p%1d%1d (year-1)";set ylabel "p%1d%1d (year-1)"&' set ter png small set size 0.65,0.65
    Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year-1 :varpijgr%s%d%1d%1d-%1d%1d.png,

    Correlation at age %d (%.3f), set out "varpijgr%s%d%1d%1d-%1d%1d.png" set label "%d" at %11.3e,%11.3e center # Age %d, p%1d%1d - p%1d%1d plot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not %d (%.3f),&' replot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not set out "varpijgr%s%d%1d%1d-%1d%1d.png";replot;&@?(@@UWVpSEDžE$Ƀݝݝ'@p+@thAWThU@WA u%Wh@ Wh@AP8 ,@ 0@$hAVhU@Vm@A u%Vh@Vh@AP 4@8@hAShU@S@A u%Sh@:Sh@APf WhP@WhP@AP< Vh@Vh@AP Sh@Sh@AP hp@APh"t@AP h@@APh"t@@AP h@@APh"t@@APw E9DžEtAw9dRWh @AP,QWh/@@AP SWCh/@@APEtA9~;}slA@PLu@h0@LB@Ph@@h<@LB@P jj]tA]5lAP5Hu@h0@LB@P2h@h<@LB@P j؃ƍPHGu?h0@LB@Ph@h<@LB@P jHB9vHt։4@9~]tA]P7Du>h0@LB@P4h@h<@LB@P j ؃P DGu?h0@LB@P h@h<@LB@P  j DB9vDt։4@9~]tA݅ٽff f٭۝٭݅ٽff f٭۝٭)]xP @u?h0@LB@P h@h<@LB@P  j ؃ǍPg @Bu?h0@LB@Pa h@h<@LB@PF  j) P@)‰Q9v@|ljh0@LB@P@h@h<@LB@P% jÍP,Gu?h0@LB@Ph@h<@LB@P j,B9v,\Ӊ@9~]tA]5lAPA(u@h0@LB@P>h@h<@LB@P# j؃ƍP(Gu?h0@LB@Ph@h<@LB@P j(B9v(t։4@9~EtAEPC$u>h0@LB@P@h@@h<@LB@P% jEtAEP u>h0@LB@Ph@@h<@LB@P jDžTlA9TvTB9ك$@G$h>@APE tAE9~EtAE9݅Xٽff f٭۝٭@$hO@@APF@G$hO@@AP#E tAE9~1Dž]9EtAF9݅Xٽff f٭۝ ٭GSP RhW@@AP} SCQ VhW@@APWDž 9݅Xٽff f٭۝٭P$ha@@APP4E@t؃$ًPE@t#؃$۽ۭɃ$ha@@AP/ 9EtA9cM9܅XݕXܝÈ@DžUDž9 Dž tAFEȉ9b G9$ DžEJU9 EG؉9 vF; EJЍ<;j ݅ ݅Xٽff f٭۝٭gfff)9 PAڋPۅ؋@؋ 8@ 8@ 8@ 8@ݝˋ< 8@ 8@ 8@ 8@ݝE@tO؃$۽۽p۽`۽PۭPۭ`ۭpۭݕ`ܽ`ݝ` @@E@t]Ƀ$۽۽۽p۽`۽PۭPۭ`ۭpۭۭ0@E@tu˃$۽۽۽p۽`۽P۽@ۭ@ۭPۭ`ۭpۭۭݝx܍xݝxE@tc؃$۽۽p۽`۽P۽@ۭ@ۭPۭ`ۭpۭݝhܽhݕhݝp󃽐Dž$Ƀ$˃$|x$̃$d`$̓$PRVQShp@۽۽۽p۽`۽P۽@0ۭ@pۭPۭ`ۭpۭۭʃ$Ƀ$lh|x$˃$d`$ʃ$PRVQSh@AP۽۽@ۭۭ@gDžhQ@APZPRVQhp@AP10h@APPRVQPURQPVRQEPRQVPh@AP`RQVPRMQh@AP| d`Sh@APY PRVQPURh0@AP% Shp@AP QPVRSh@AP݅x ۭۭ@E@t;ك|x۽ۭ@ۭۭ˃$lhE@tQ˃$۽۽۽۽@Nۭ@ۭۭۭɃ$Ƀ$5,@5(@E@t5؃|x۽۽@ۭ@ۭʃ$tpE@t؃$ك$lh5,@5(@h@DvDžd`ShV@AP۽۽@ RQVPSh@AP Shp@AP݅x ۭۭ@E@t;ك|x۽vۭ@ۭۭ˃$lhE@tQ˃$۽۽۽۽@ۭ@ۭۭۭɃ$Ƀ$5,@5(@E@t5؃|x۽۽@ۭ@ۭʃ$tpE@t؃$Iك$lh5,@5(@hp@APp܅XݕXܝÈ@RQVSV}Wh@APpDž tAEˋ9HU9 E9u9WU8;'9P݅ٽff f٭۝٭PBPEPBP3 PQ!@^S V LWAPm@AP_ @APNAP@ AP/[^_]Problem with %s
    • Result files (first order: no variance)

      - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): p%s
      - Estimated transition probabilities over %d (stepm) months: pij%s
      - Stable prevalence in each health state: pl%s
      - Life expectancies by age and initial health status (estepm=%2d months): e%s
    • &
      • Graphs

      • ************ Results for covariates ************

        - Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png

        - Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png

        - Stable prevalence in each health state : p%s%d%d.png
        '
        - Health life expectancies by age and initial health state (%d): exp%s%d%d.png
        '
        - Total life expectancy by age and health expectancies in states (1) and (2): e%s%d.png
      v
    • Result files (second order: variances)

      - Parameter file with estimated parameters and covariance matrix: %s
      - Variance of one-step probabilities: prob%s
      - Variance-covariance of one-step probabilities: probcov%s
      - Correlation matrix of one-step probabilities: probcor%s
      - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): v%s
      - Health expectancies with their variances (no covariance): t%s
      - Standard deviation of stable prevalences: vpl%s
      v - Prevalences forecasting: f%s
      - Population forecasting (if popforecast=1): pop%s

      No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)

      • Graphs

      • - Observed and stationary prevalence (with confident interval) in state (%d): v%s%d%d.png
        ULWVSEH]EP]EX]E`]Eh]Ep]h<@hAAuhAhN@j URRMDQRRRRURMQQuuuuuuuuuuuuhp@P`hP@APhAA=`AA0A@EEE;ANMȺA0AMBẺU=`A~jhp@/U̡A5A APPGh@AP;=hA~h@APM̃Qhf@hAPEPhf@hAPURh@AP M̃Qhf@hAPEPhf@hAPURh@=MQWhf@hAYPEPWGhf@hA=Ph@AP ;=pA|;=pAWŨRWhf@hAPMQWhf@hAPWh@GAP0;=pA~ẼPhf@hAPURhf@hAPh@APS U0AM;EĉE;Ah@APURRRRRRMDQRRRRRRE@?U,WVSEEE ]]]E4Eh0@LB@P舳h]@h<@LB@Pm jPVHh *u?h0@LB@P-h@@h<@LB@P j4A@4AB4Ac %s&' Enter the parameter file name: %spathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s .logProblem with logfile %s Log filename:%s .txtProblem with optionfile %s oProblem with Output resultfile: %s title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s %1d%1d %lf%le %le %.5leProblem writing new parameter file: %s #%s Problem with datafile: %s ageage*ageError. Non available option model=%s Warning negative age at death: %d line:%d Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d model=%s # Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ... %d%d %1d%1d %f # Scales (for hessian or gradient estimation) %.5et&'# Covariance matrix # 121 Var(a12) # 122 Cov(b12,a12) Var(b12) # ... # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23) %3dt&agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d '# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood). t&agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d 'begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d pop_based=%d prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d vprevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf .gp # %s # %s set missing 'NaNq' .htm %s


        Title=%s
        Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
        Total number of observations=%d
        Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf

        • Parameter files

          - Copy of the parameter file: o%s
          - Log file of the run: %s
          - Gnuplot file name: %s
        plProblem with stable prevalence resultfile: %s Computing stable prevalence: result on file '%s' #Stable prevalence #Age %d-%d %.5fpijProblem with Pij resultfile: %s Computing pij: result on file '%s' #****** h Pij x Probability to be in state j at age x+h being in i at x #****** '# Cov Agex agex+h hpijx with i,j=%d %3.f %3.ft Problem with total LE resultfile: %s Computing Total LEs with variances: file '%s' Problem with Health Exp. resultfile: %s Computing Health Expectancies: result on file '%s' v'Problem with variance resultfile: %s Computing Variance-covariance of DFLEs: file '%s' #Total LEs with variances: e.. 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int:t(0,8)=r(0,8);-32768;32767;short unsigned int:t(0,9)=r(0,9);0;65535;signed char:t(0,10)=r(0,10);-128;127;unsigned char:t(0,11)=r(0,11);0;255;float:t(0,12)=r(0,1);4;0;double:t(0,13)=r(0,1);8;0;long double:t(0,14)=r(0,1);12;0;complex int:t(0,15)=s8real:(0,1),0,32;imag:(0,1),32,32;;complex float:t(0,16)=r(0,16);4;0;complex double:t(0,17)=r(0,17);8;0;complex long double:t(0,18)=r(0,18);12;0;void:t(0,19)=(0,19)tconfig.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/gansidecl.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/../include/ansidecl.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/xm-i386.htm.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/cygwin.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/gas.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/i386.hprocessor_costs:T(8,1)=s28add:(0,1),0,32;lea:(0,1),32,32;shift_var:(0,1),64,32;shift_const:(0,1),96,32;mult_init:(0,1),128,32;mult_bit:(0,1),160,32;divide:(0,1),192,32;;processor_type:T(8,2)=ePROCESSOR_I386:0,PROCESSOR_I486:1,PROCESSOR_PENTIUM:2,PROCESSOR_PENTIUMPRO:3,PROCESSOR_K6:4,;reg_class:T(8,3)=eNO_REGS:0,AREG:1,DREG:2,CREG:3,BREG:4,AD_REGS:5,Q_REGS:6,SIREG:7,DIREG:8,INDEX_REGS:9,GENERAL_REGS:10,FP_TOP_REG:11,FP_SECOND_REG:12,FLOAT_REGS:13,ALL_REGS:14,LIM_REG_CLASSES:15,;i386_args:T(8,4)=s12words:(0,1),0,32;nregs:(0,1),32,32;regno:(0,1),64,32;;CUMULATIVE_ARGS:t(8,5)=(8,4)/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/bsd.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/unix.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/dbxcoff.h/cygnus/netrel/src/gcc-2.95.3-5/gcc/config/i386/xm-cygwin.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/stdlib.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/_ansi.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/config.h__int32_t:t(15,1)=(0,1)__uint32_t:t(15,2)=(0,4)include/stddef.hsize_t:t(16,1)=(0,4)wchar_t:t(16,2)=(0,9)/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/reent.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/time.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/machine/time.h/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/types.hptrdiff_t:t(22,1)=(0,1)wint_t:t(22,2)=(0,4)/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/machine/types.hu_char:t(21,1)=(0,11)u_short:t(21,2)=(0,9)u_int:t(21,3)=(0,4)u_long:t(21,4)=(0,5)ushort:t(21,5)=(0,9)uint:t(21,6)=(0,4)clock_t:t(21,7)=(0,5)time_t:t(21,8)=(0,3)timespec:T(21,9)=s8tv_sec:(21,8),0,32;tv_nsec:(0,3),32,32;;itimerspec:T(21,10)=s16it_interval:(21,9),0,64;it_value:(21,9),64,64;;daddr_t:t(21,11)=(0,3)caddr_t:t(21,12)=(21,13)=*(0,2)ino_t:t(21,14)=(0,5)vm_offset_t:t(21,15)=(0,5)vm_size_t:t(21,16)=(0,5)int8_t:t(21,17)=(0,2)u_int8_t:t(21,18)=(0,11)int16_t:t(21,19)=(0,8)u_int16_t:t(21,20)=(0,9)int32_t:t(21,21)=(0,1)u_int32_t:t(21,22)=(0,4)int64_t:t(21,23)=(0,6)u_int64_t:t(21,24)=(0,7)register_t:t(21,25)=(21,21)dev_t:t(21,26)=(0,8)off_t:t(21,27)=(0,3)uid_t:t(21,28)=(0,9)gid_t:t(21,29)=(0,9)pid_t:t(21,30)=(0,1)key_t:t(21,31)=(0,3)ssize_t:t(21,32)=(0,3)addr_t:t(21,33)=(21,13)mode_t:t(21,34)=(0,1)nlink_t:t(21,35)=(0,9)fd_mask:t(21,36)=(0,3)_types_fd_set:T(21,37)=s8fds_bits:(21,38)=ar(0,1);0;1;(21,36),0,64;;_types_fd_set:t(21,39)=(21,37)tm:T(18,1)=s36tm_sec:(0,1),0,32;tm_min:(0,1),32,32;tm_hour:(0,1),64,32;tm_mday:(0,1),96,32;tm_mon:(0,1),128,32;tm_year:(0,1),160,32;tm_wday:(0,1),192,32;tm_yday:(0,1),224,32;tm_isdst:(0,1),256,32;;/cygwin/lib/gcc-lib/i686-pc-cygwin/2.95.3-5/../../../../i686-pc-cygwin/include/sys/features.h__ULong:t(17,1)=(15,2)_glue:T(17,2)=s12_next:(17,3)=*(17,2),0,32;_niobs:(0,1),32,32;_iobs:(17,4)=*(17,5)=xs__sFILE:,64,32;;_Bigint:T(17,6)=s24_next:(17,7)=*(17,6),0,32;_k:(0,1),32,32;_maxwds:(0,1),64,32;_sign:(0,1),96,32;_wds:(0,1),128,32;_x:(17,8)=ar(0,1);0;0;(17,1),160,32;;_atexit:T(17,9)=s136_next:(17,10)=*(17,9),0,32;_ind:(0,1),32,32;_fns:(17,11)=ar(0,1);0;31;(17,12)=*(17,13)=f(0,19),64,1024;;__sbuf:T(17,14)=s8_base:(17,15)=*(0,11),0,32;_size:(0,1),32,32;;_fpos_t:t(17,16)=(0,3)__sFILE:T(17,5)=s88_p:(17,15),0,32;_r:(0,1),32,32;_w:(0,1),64,32;_flags:(0,8),96,16;_file:(0,8),112,16;_bf:(17,14),128,64;_lbfsize:(0,1),192,32;_cookie:(17,17)=*(0,19),224,32;_read:(17,18)=*(17,19)=f(0,1),256,32;_write:(17,20)=*(17,21)=f(0,1),288,32;_seek:(17,22)=*(17,23)=f(17,16),320,32;_close:(17,24)=*(17,25)=f(0,1),352,32;_ub:(17,14),384,64;_up:(17,15),448,32;_ur:(0,1),480,32;_ubuf:(17,26)=ar(0,1);0;2;(0,11),512,24;_nbuf:(17,27)=ar(0,1);0;0;(0,11),536,8;_lb:(17,14),544,64;_blksize:(0,1),608,32;_offset:(0,1),640,32;_data:(17,28)=*(17,29)=xs_reent:,672,32;;_reent:T(17,29)=s752_errno:(0,1),0,32;_stdin:(17,4),32,32;_stdout:(17,4),64,32;_stderr:(17,4),96,32;_inc:(0,1),128,32;_emergency:(17,30)=ar(0,1);0;24;(0,2),160,200;_current_category:(0,1),384,32;_current_locale:(17,31)=*(0,2),416,32;__sdidinit:(0,1),448,32;__cleanup:(17,32)=*(17,33)=f(0,19),480,32;_result:(17,7),512,32;_result_k:(0,1),544,32;_p5s:(17,7),576,32;_freelist:(17,34)=*(17,7),608,32;_cvtlen:(0,1),640,32;_cvtbuf:(21,13),672,32;_new:(17,35)=u240_reent:(17,36)=s88_unused_rand:(0,4),0,32;_strtok_last:(21,13),32,32;_asctime_buf:(17,37)=ar(0,1);0;25;(0,2),64,208;_localtime_buf:(18,1),288,288;_gamma_signgam:(0,1),576,32;_rand_next:(0,7),640,64;;,0,70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