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doctorondemand / Pygments python

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2.5.0  ▾
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Pygments / examplefiles / output / example.bug
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hubhhXHashbangq#†q$…q%q&}q'(hh	]q(…q)Rq*h
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h¹ubhh‰h¶XStartqÇqąqŁqÆ}qÇ(hh	]qȅqÉRqÊh
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jbubhj‘j_XRadixru‡rv…rwrx}ry(hh	]rz…r{Rr|h
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j»ubhj¸XInsertedrî†rï…rðrñ}rò(hh	]ró…rôRrõh
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jsubhjpXBeerr•†r–…r—r˜}r™(hh	]rš…r›Rrœh
jsubhjpXPunctuationr†rž…rŸr }r¡(hh	]r¢…r£Rr¤h
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hfjjjj€jj jvjyj•j˜j…jˆubhhj…r§…r¨r©}rª(hh	]r«hjX	Indicatorr¬†r­…r®r¯}r°(hh	]r±…r²Rr³h
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hfj¬j¯ube…r¶Rr·jpjshihlj¾jjajkjjh‰hŒj‘j”jj©hqhthhj¸j»XTokenr¸hfj¾jÁj_jbubh#h&hChFhhhShVhhh[h^h;h>h+h.h3h6hhhKhNububX0# Alligators: multinomial - logistic regression r¹†rºjsX
r»†r¼hX3#  http://www.openbugs.info/Examples/Aligators.htmlr½†r¾jsj»†r¿jKXmodelrÀ†rÁjsX r†rÃj©X{rĆrÅjsX
   rƆrÇhX# PRIORS    rȆrÉjsX
   rʆrËhŒXalphar̆rÍj©X[rΆrÏjbX1rІrÑj©X]rÒ†rÓjsj†rÔhtX<-rÕ†rÖjsj†r×jbX0r؆rÙj©X;rÚ†rÛjsj†rÜhX!# zero contrast for baseline foodr݆rÞjsX
   r߆ràjbXforrá†râjsj†rãj©X(rä†råhŒXkræ†rçjsj†rèjbXinré†rêjsj†rëjbX2rì†ríjsj†rîj©X:rï†rðjsj†rñhŒXKrò†rój©X)rô†rõjsj†röj©jĆr÷jsX 
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†rj©jô†rjsj†r
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   r†rj©X}r†rjsX 
   r†rhX# Loop around lakes:r†rjsX
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   r9†r:j©j†r;jsj†r<hX(# corner-point contrast with first lake r=†r>jsX
   r?†r@jbXforrA†rBjsj†rCj©jä†rDhŒXirE†rFjsj†rGjbXinrH†rIjsj†rJjbjì†rKjsj†rLj©jï†rMjsj†rNhŒXIrO†rPj©jô†rQjsj†rRj©jĆrSjsX 
     rT†rUhŒXbetarV†rWj©jΆrXhŒjE†rYj©j†rZjsj†r[jbjІr\j©jÒ†r]jsj†r^htX<-r_†r`jsj†rajbj؆rbjsj†rcj©jÚ†rdjsj†rehX!# zero contrast for baseline foodrf†rgjsX
     rh†rijbXforrj†rkjsj†rlj©jä†rmhŒjæ†rnjsj†rojbXinrp†rqjsj†rrjbjì†rsjsj†rtj©jï†rujsj†rvhŒjò†rwj©jô†rxj©jĆryjsX	 
       rz†r{hŒXbetar|†r}j©jΆr~hŒjE†rj©j†r€jsj†rhŒjæ†r‚j©jÒ†rƒjsj†r„htj†r…jsj†r†jEXdnormr‡†rˆj©jä†r‰jbj؆rŠj©j†r‹jsj†rŒjbX0.00001r†rŽj©jô†rjsj†rhX# vague priorsr‘†r’jsX
     r“†r”j©j†r•jsX 
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   r™†ršhX# Loop around sizes:r›†rœjsX
   r†ržjbXforrŸ†r jsj†r¡j©jä†r¢hŒjæ†r£jsj†r¤jbXinr¥†r¦jsj†r§jbjІr¨jsj†r©j©jï†rªjsj†r«hŒjò†r¬j©jô†r­j©jĆr®jsX 
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   rÁ†rÂj©j†rÃjsX 
   rĆrÅjbXforrƆrÇjsj†rÈj©jä†rÉhŒXjrʆrËjsj†rÌjbXinr͆rÎjsj†rÏjbjì†rÐjsj†rÑj©jï†rÒjsj†rÓhŒXJrÔ†rÕj©jô†rÖjsj†r×j©jĆrØjsX 
     rÙ†rÚhŒXgammarÛ†rÜj©jΆrÝhŒjʆrÞj©j†rßjsj†ràjbjІráj©jÒ†râjsj†rãhtX<-rä†råjsj†ræjbj؆rçjsj†rèj©jÚ†réjsj†rêhX!# zero contrast for baseline foodrë†rìjsX
     rí†rîjbXforrï†rðjsj†rñj©jä†ròjsj†róhŒjæ†rôjsj†rõjbXinrö†r÷jsj†røjbjì†rùjsj†rúj©jï†rûjsj†rühŒjò†rýj©jô†rþj©jĆrÿjsX	 
       r†rhŒXgammar†rj©jΆrhŒjʆrj©j†rjsj†rhŒjæ†rj©jÒ†r	jsj†r
htj†rjsj†rjEXdnormr
†rj©jä†rjbj؆rj©j†rjsj†rjbX0.00001r†rj©jô†rjsj†rhX# vague priorsr†rjsX
     r†rj©j†rjsX 
   r†rj©j†rjsX

   r†r hX# LIKELIHOOD   r!†r"jsX
   r#†r$jbXforr%†r&jsj†r'j©jä†r(hŒjE†r)jsj†r*jbXinr+†r,jsj†r-jbjІr.jsj†r/j©jï†r0jsj†r1hŒjO†r2j©jô†r3jsj†r4j©jĆr5jsj†r6hX# loop around lakesr7†r8jsX
     r9†r:jbXforr;†r<jsj†r=j©jä†r>hŒjʆr?jsj†r@jbXinrA†rBjsj†rCjbjІrDjsj†rEj©jï†rFjsj†rGhŒjÔ†rHj©jô†rIjsj†rJj©jĆrKjsj†rLhX# loop around sizesrM†rNjsX	

       rO†rPhX7# Fit standard Poisson regressions relative to baselinerQ†rRjsX
       rS†rThŒXlambdarU†rVj©jΆrWhŒjE†rXj©j†rYjsj†rZhŒjʆr[j©jÒ†r\jsj†r]htj†r^jsj†r_jEXdflatr`†raj©jä†rbj©jô†rcjsX   rd†rehX# vague priors rf†rgjsX
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