File:  [Local Repository] / imach / src / Attic / imach.exe
Revision 1.11: download - view: text, annotated - select for diffs
Thu Mar 16 16:16:34 2006 UTC (18 years, 7 months ago) by lievre
Branches: MAIN
CVS tags: HEAD
Version 0.98f

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@$Revision: 1.11 $ $Date: 2006/03/16 16:16:34 $Imach version 0.98f, March 2006, INED-EUROREVES-Institut de longevite @,A DIRC2 = %s 
 DIRC3 = %s 
 DIRC = %s 
ERREUR ...
%s
allocation failure in vectorallocation failure in ivectorallocation failure 1 in matrix()allocation failure 2 in matrix()allocation failure 3 in matrix()Too many iterations in brent?|=ŋ!r??w?#B;B#B;#B׻-C6*?%d day(s) %d hour(s) %d minute(s) %d second(s)
Powell iter=%d -2*LL=%.12f %ld sec. %ld sec. %d %.12lf %d %.12f %.12lf%d
Considering the time needed for this last iteration #%d: %ld seconds,
   - if your program needs %d iterations to converge, convergence will be 
   reached in %s i.e.
   on %s (current time is %s);
powell exceeding maximum iterations.HB@A@A@A:0yE>?%9d %6d %2d %2d %1d %1d %3d %11.6f %8.4f %11.6f %11.6f %11.6f  %10.6f %10.6f
@A:0yE>?
<br>File of contributions to the likelihood: <a href="%s">%s</a><br>
w#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total
#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav  -2*gipw/gsw*weight*ll[%d]++ -2*gipw/gsw*weight*ll(total)
Problem with resultfile: %s
PowellPowell
# Powell
# iter -2*LL p%1d%1d
#Number of iterations = %d, -2 Log likelihood = %.12f
#Number of iterations = %d, -2 Log likelihood = %.12f 

#Number of iterations = %d, -2 Log likelihood = %.12f 
-C6??h㈵>h㈵>>?Singular matrix in routine ludcmp#B;
Calculation of the hessian matrix. Wait...
Calculation of the hessian matrix. Wait...

Inverting the hessian to get the covariance matrix. Wait...
Inverting the hessian to get the covariance matrix. Wait...

#Hessian matrix#
#Hessian matrix#
%.3e .%d%d# %s.%s
#%s
#%s
# %s
#********** Variable V%d=%d **********
# Age Prev(%d) N(%d) NAge %d %d.=%.0f loss[%d]=NaNQ%% %d.=%.0f loss[%d]=%.1f%% %d.=%.0f prev[%d]=%.1f%% %d %.5f %.0f %.0f %d%d=%.0fProblem with prevalence resultfile: %s
 %d.=%.0f prev[%d]=NaNQ%% %d NaNq %.0f %.0fOthers in log...TotalSee log file for details...|=Bh㈵>Error on individual =%d agev[m][i]=%f m=%d
@AWarning! No valid information for individual %ld line=%d (skipped) and may be others, see log file
Warning! No valid information for individual %ld line=%d (skipped)
Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f

 Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d
 Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d
    We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.
C?(@# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age
# Age e%1d%1d  e%1d. %d|%3.0f%9.4fProblem %d lower than %d
C@A??# Health expectancies with standard errors
 e%1d%1d (SE)# Subdiagonal matrix of covariances of health expectancies by age: cov(eij,ekl)
  %1d%1d,%1d%1d %9.4f (%.4f) %.4fC@A??%-dComputing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' 
# Age cov=%-d# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()
 p.%-d SE w%1d p%-d%-d
# Routine varevsij
<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>

<br>%s  <br>
# Variance and covariance of health expectancies e.j 
#  (weighted average of eij where weights are the age specific period (stable) prevalences in each health state 
 Cov(e.%1d, e.%1d)%3d %d  %11.3e %11.3e %11.3e %11.3e %.0f 
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)";
 plot "%s"  u 1:($3) not w l 1 
 replot "%s"  u 1:(($3+1.96*$4)) t "95%% interval" w l 2 
 replot "%s"  u 1:(($3-1.96*$4)) not w l 2 
<br> File (multiple files are possible if covariates are present): <A href="%s">%s</a>
varmuptjgr
<br> Probability is computed over estepm=%d months. <br> <img src="%s%s.png"> <br>

set out "%s%s.png";replot;
the age specific prevalence observed in the population i.e cross-sectionally
 in each health state (popbased=1) Error in movingaverage mobilav=%d
@A??@`@# Standard deviation of period (stable) prevalences 
 %1d-%1d %.5f (%.5f)?Computing standard deviation of one-step probabilities: result on file '%s' 
Computing matrix of variance covariance of one-step probabilities: result on file '%s' 
and correlation matrix of one-step probabilities: result on file '%s' 
#One-step probabilities and stand. devi in ()
#One-step probabilities and covariance matrix
#One-step probabilities and correlation matrix
 p%1d-%1d (SE) p%1d-%1d 
<li><h4> <a href="%s">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>

# Routine varprob
<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>

<h4>Matrix of variance-covariance of pairs of step probabilities</h4>
  file %s<br>

Ellipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimatedand drawn. It helps understanding how is the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>

<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix and made the appropriate rotation to look at the uncorrelated principal directions.<br>To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> 
**********
#
 V%d=%d 
<hr  size="2" color="#EC5E5E">********** Variable **********
<hr size="2" color="#EC5E5E">
%d %11.3e (%11.3e) %d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f
 %d (%.3f),
# Age %d, p%1d%1d - p%1d%1d
set label "%d" at %11.3e,%11.3e center
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)) notvarpijgr
set out "%s%d%1d%1d-%1d%1d.png";replot;
set parametric;unset label
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
<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href="%s%d%1d%1d-%1d%1d.png">%s%d%1d%1d-%1d%1d.png</A>, 
<br><img src="%s%d%1d%1d-%1d%1d.png"> 
<br> Correlation at age %d (%.3f),
set out "%s%d%1d%1d-%1d%1d.png"
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 %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...
%11.3e 
%d %d-%d %11.3e?(@@?<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>
    <li><a href='#secondorder'>Result files (second order (variance)</a>
 </ul>p<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>
  - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href="%s">%s</a> <br>
 pij - Estimated transition probabilities over %d (stepm) months: <a href="%s">%s</a><br>
 pl - Period (stable) prevalence in each health state: <a href="%s">%s</a> <br>
e - (a) Life expectancies by health status at initial age, (b) health expectancies by health status at initial age:  ei., eij (estepm=%2d months):    <a href="%s">%s</a> <br>
</li> 
<ul><li><b>Graphs</b></li><p><hr  size="2" color="#EC5E5E">************ Results for covariates ************
<hr size="2" color="#EC5E5E">pe<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href="%s%d1.png">%s%d1.png</a><br> <img src="%s%d1.png"><br>- 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: <a href="%s%d2.png">%s%d2.png</a><br> <img src="%s%d2.png"><br>- Period (stable) prevalence in each health state : <a href="%s%d%d.png">%s%d%d.png</a><br> <img src="%s%d%d.png">exp
<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href="%s%d%d.png">%s%d%d.png</a> <br> <img src="%s%d%d.png"></ul>
<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>
 - Parameter file with estimated parameters and covariance matrix: <a href="%s">%s</a> <br>
prob - Variance of one-step probabilities: <a href="%s">%s</a> <br>
probcov - Variance-covariance of one-step probabilities: <a href="%s">%s</a> <br>
probcor - Correlation matrix of one-step probabilities: <a href="%s">%s</a> <br>
cve - Variances and covariances of health expectancies by age and <b>initial health status</b> (cov(e<sup>ij</sup>,e<sup>kl</sup>)(estepm=%2d months):    <a href="%s">%s</a> <br>
</li>stde - (a) Health expectancies by health status at initial age (e<sup>ij</sup>) and standard errors (in parentheses) (b) life expectancies and standard errors (e<sup>i.</sup>=e<sup>i1</sup>+e<sup>i2</sup>+...)(estepm=%2d months):    <a href="%s">%s</a> <br>
</li>v - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), eij are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences (i.e population based) (estepm=%d months): <a href="%s">%s</a><br>
t - Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors: <a href="%s">%s</a> <br>
vpl - Standard deviation of period (stable) prevalences: <a href="%s">%s</a> <br>
 <ul><li><b>Graphs</b></li><p><br>- Observed (cross-sectional) and period (incidence based) prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br><img src="%s%d%d.png">
<br>- Total life expectancy by age and health expectancies in states (1) and (2): %s%d.png<br><img src="%s%d.png">cd "%s" 
p%d=%f " t"Period (stable) prevalence" w l 0,"%s" every :::%d::%d u 1:($2+1.96*$3) "%%lf %%lf (%%lf) %%*lf (%%*lf)" t"95%% CI" w l 1,"%s" every :::%d::%d u 1:($2-1.96*$3) "%%lf" t"" w l 1,"%s" every :::%d::%d u 1:($%d) t"Observed prevalence " w l 2
set out "%s%d%d.png" 

#set out "v%s%d%d.png" 
set xlabel "Age" 
set ylabel "Probability" 
set ter png small
set size 0.65,0.65
plot [%.f:%.f] "%s" every :::%d::%d u 1:2 "%%lf
set out "%s%d.png" 
set ylabel "Years" 
set ter png small
set size 0.65,0.65
plot [%.f:%.f] "%s" every :::%d::%d u 1:2 "%%lf" t"LE in state (%d)" w l ,"%s" every :::%d::%d u 1:($2-$3*2) "%%lf" t"" w l 0,"%s" every :::%d::%d u 1:($2+$3*2) "%%lfset ter png small
set size 0.65,0.65
plot [%.f:%.f] "%s" every :::%d::%d u 1:%d t "e%d1" w l ,"%s" every :::%d::%d u 1:%d t "e%d%d" w l ,"%s" every :::%d::%d u 1:%d t "e%d." w lset xlabel "Age" 
set ylabel "Probability" 
set ter png small
set size 0.65,0.65
unset log y
plot [%.f:%.f] "%s" u ($1==%d ? ($3):1/0):($%d/($%d+$%d)) t"prev(%d,%d)" w l,"%s" u ($1==%d ? ($3):1/0):($%d/($%d)) t"prev(%d,%d)" w l

set title "Probability"

set ter png small
set size 0.65,0.65
set log y
plot  [%.f:%.f]  exp(p%d+p%d*x+p%d*%d+p%d*%d*x)/(1+exp(p%d+p%d*x) t "p%d%d"  %f*exp(p%d+p%d*x
set ylabel "Quasi-incidence per year"
" t"" w l 0" t"TLE" w l ,@AProblem with forecast resultfile: %s
Computing forecasting: result on file '%s' 
# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f 
#****** Routine prevforecast **

#****** V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ******
# Covariate valuofcovar yearproj age p%d%d p.%d
# Forecasting at date %.lf/%.lf/%.lf  %.3f%d %d %.f %.f @AA??@`@ P.%d

# Forecasting at date %.lf/%.lf/%.lf r%d %lf
 %15.2f
 %3.f  [Population]Problem with population file : %s
@AC??@`@(@aProblem with file: %s
# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...
%1d%1d 0.# Scales (for hessian or gradient estimation)# Scales (for hessian or gradient estimation)
# Covariance matrix# Covariance matrix
%1d%1d%d Var(%s%1d%1d) Cov(%s%1d%1d,%s%1d%1d)#%1d%1d%d(@<ul><li><h4>Result files </h4>
 Force of mortality. Parameters of the Gompertz fit (with confidence interval in brackets):<br>  mu(age) =%lf*exp(%lf*(age-%d)) per year<br><br> p[%d] = %lf [%f ; %f]<br>
<br><br><img src="graphmort.png"><ul><li><h4>Life table</h4>
 <br>
Age   l<inf>x</inf>     q<inf>x</inf> d(x,x+1)    L<inf>x</inf>     T<inf>x</inf>     e<infx</inf><br>%d %.0lf %lf %.0lf %.0lf %.0lf %lf<br>
@set out "graphmort.png"
 set xlabel "Age"
 set ylabel "Force of mortality (per year)" 
 set ter png small
 set log y
set size 0.65,0.65
plot [%d:100] %lf*exp(%lf*(x-%d))                         bcdc
%s
%s
argv[0]=%s argv[1]=%s, 

argv[0]=%s pathimach=%s, 
optionfile=%s 
optionfilext=%s 
optionfilefiname=%s

pathtot=%s,
path=%s,
optionfile=%s 
optionfilext=%s 
optionfilefiname=%s
Log filename:%s

Enter the parameter file name: 
pathimach=%s
pathtot=%s
 path=%s 
 optionfile=%s
 optionfilext=%s
 optionfilefiname=%s
Local time (at start):%sLocal time (at start): %stitle=%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
 %lf
Problem with optionfile %s

Type  q for exiting: %sProblem with logfile %s
Problem creating directory or it already exists %s%s, err=%d
Current directory %s!

Enter the parameter file name: Pathr |%s|
"val= |%s| pathr=%s
%le %le %.5le#%s
%d/%d%s.Problem with Output resultfile: %s
 You choose mle=-3, look at file %s for a template of covariance matrix 
Problem writing new parameter file: %s
Problem while opening datafile: %s
Comment line
%s
Error in line parameters number %d, %1d%1d instead of %1d%1d 
Error reading data around '%d' at line number %d %s for individual %d, '%s'
Should be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.
Error reading data around '%d' at line number %ld %s for individual %d, '%s'
Should be a covar (meaning 0 for the reference or 1).  Exiting.
Error reading data around '%d' at line number %ld %s for individual %d, '%s'
Should be a value of the %d covar (meaning 0 for the reference or 1. IMaCh does not build design variables, do it your self).  Exiting.
ageage*ageError. Non available option model=%s Error reading data around '%d' at line number %ld %s for individual %d
Should be a weight.  Exiting.
Error reading data around '%s' at line number %ld %s for individual %d, '%s'
Should be a date of interview (mm/yyyy or .) at wave %d.  Exiting.
 You choose mle=-1, look at file %s for a template of covariance matrix 
Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.
Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.
Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d
Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased
Warning negative age at death: %ld line:%d
Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f

Problem with file %s<body>
<title>IMaCh Cov %s</title>
 <font size="2">%s <br> %s</font> <hr size="2" color="#EC5E5E"> 
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>
<body>
<title>IMaCh %s</title>
 <font size="2">%s <br> %s</font> <hr size="2" color="#EC5E5E"> 
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>

<hr  size="2" color="#EC5E5E"> <ul><li><h4>Parameter files</h4>
 - Parameter file: <a href="%s.%s">%s.%s</a><br>
 - Copy of the parameter file: <a href="o%s">o%s</a><br>
 - Log file of the run: <a href="%s">%s</a><br>
 - Gnuplot file name: <a href="%s">%s</a><br>
 - Date and time at start: %s</ul>
<br>Total number of observations=%d <br>
Youngest age at first (selected) pass %.2f, oldest age %.2f<br>
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>
First Likeli=%12.6f ipmx=%ld sw=%12.6f %d %8.5fSecond Likeli=%12.6f ipmx=%ld sw=%12.6ftitle=%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
%d%d %1d%1d %f 
# %s
# %s
set missing 'NaNq'
 %.5e# Covariance matrix 
# 121 Var(a12)
# 122 Cov(b12,a12) Var(b12)
#   ...
# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
# Covariance matrix 
# 121 Var(a12)
# 122 Cov(b12,a12) Var(b12)
#   ...
# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)
Covariance matrix
 
 iter=%d MLE=%f Eq=%lf*exp(%lf*(age-%d))
%f [%f ; %f]
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).
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
prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d
Computing period (stable) prevalence: result on file '%s' 
# Period (stable) prevalence 
#Age %d-%d ****** %.5fComputing 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.fComputing Total Life expectancies with their standard errors: file '%s' 
Computing Health Expectancies: result on file '%s' 
Computing Health Expectancies and standard errors: result on file '%s' 
Computing Covar. of Health Expectancies: result on file '%s' 
Computing Variance-covariance of DFLEs: file '%s' 
# Total life expectancy with std error and decomposition into time to be expected in each health state
# Age ( e.. (std) e.%d (std)  %4.0f %7.3f (%7.3f)Computing Variance-covariance of period (stable) prevalence: file '%s' 
End of Imach with %d errors and/or %d warnings
End of Imach with %d errors and/or warnings %d
See log file on %s
Local time at start %s
Local time at end   %s
Local time at start %s
Local time at end   %sTotal time used %s
Total time was %d Sec.
<br>Local time at start %s<br>Local time at end   %s<br>Before Current directory %s!
Can't move to directory %s!
"%sgnuplot.exe"Error gnuplot program not found: %s
GNUPLOTBINError gnuplot program not found: %s Environment GNUPLOTBIN not set.
%s %sStarting graphs with: %s

 Problem with gnuplot Wait...
Type e to edit output files, g to graph again and q for exiting: Starting browser with: %sProblem with variance resultfile: %s
Problem with Covar. Health Exp. resultfile: %s
Problem with Health Exp. and std errors resultfile: %s
Problem with Health Exp. resultfile: %s
End of ImachEnd of Imach
Problem with variance of period (stable) prevalence  resultfile: %s
Problem with total LE resultfile: %s
Problem with Pij resultfile: %s
Problem with period (stable) prevalence resultfile: %s

Age   lx     qx    dx    Lx     Tx     e(x)%d %.0lf %lf %.0lf %.0lf %.0lf %lf
Error reading data around '%s' at line number %ld %s for individual %d, '%s'
Should be a date of birth (mm/yyyy or .).  Exiting.
Problem with %s 
Error reading data around '%s' at line number %ld %s for individual %d, '%s'
Should be a date of death (mm/yyyy or .).  Exiting.
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