bobular

#!/usr/bin/env perl
#  -*- mode: cperl -*-

use strict;
use warnings;
use Text::CSV_XS;
use JSON;

my ($file) = @ARGV;
my $json = JSON->new->pretty;

bobular

config :
  item one : blah
  item two : asdasd

bobular

#!/usr/bin/env perl
#  -*- mode: cperl -*-
#
# The purpose of this little model is to figure out what kind of
# investment returns the pension fund needs to make in order to meet
# its defined benefits promises.
#
# It assumes a single employee with their own "pot" and a fixed payout
# period. I'm not suggesting euthanasia...  Obviously in reality the
# longevity risk is shared by the many thousands of scheme

bobular

#!/usr/bin/env perl
#  -*- mode: cperl -*-
#
# The purpose of this little model is to figure out what kind of
# investment returns the pension fund needs to make in order to meet
# its defined benefits promises.
#
# It assumes a single employee with their own "pot" and a fixed payout
# period. I'm not suggesting euthanasia...  Obviously in reality the
# longevity risk is shared by the many thousands of scheme

bobular

#!/usr/bin/env perl
#  -*- mode: cperl -*-
#
# The purpose of this little model is to figure out what kind of
# investment returns the pension fund needs to make in order to meet
# its defined benefits promises.
#
# It assumes a single employee with their own "pot" and a fixed payout
# period. I'm not suggesting euthanasia...  Obviously in reality the
# longevity risk is shared by the many thousands of scheme

bobular

#!/usr/bin/env perl
#  -*- mode: cperl -*-
#
# ./model.pl 0.26 0.02 40 3 0.5 25
#
# 0.26 = fraction of salary contribution total (employer+employee)
# 0.02 = fractional expected annual asset growth
# 40   = number of years working
# 3    = salary multiple for lump sum payment
# 0.5  = fraction of salary paid out in retirement

bobular

#!/usr/bin/env perl
# -*- mode: cperl -*-
#
# usage: bin/post-huge-json <opts> huge-file.json
#
# <opts> might be "-c ninjadata"
#
# splits a large file containing a single json array of json objects
# into smaller chunks of 100000, and posts them to Solr using bin/post <opts>
#