03-22-2015
Other than the fact that you have eliminated spaces in your
|T and
.T "records" and now have variable length records in the lines between the
?T "records", this is extremely similar to your last thread:
Extract batch based on condition.
Why can't you modify one of the
perl or shell scripts you were given in that thread to process your modified input file format? If you tried to do that and failed, show us what you tried and explain what you were unable to get it to do.
If you just changed your input file format and decided that wanted to use the UNIX & Linux Forums as your unpaid programming staff instead of learning how to use the tools yourself; that isn't what we volunteers are here for.
Show some appreciation for the help volunteers here have provided. Show us that you are learning from the suggestions we have made. Show us that you are making an effort to learn from the suggestions we have provided. If you see suggestions that work for you, but you don't understand how they work; ask for an explanation of how the code works. We are happy to help you learn; we are not happy doing your work for you.
This User Gave Thanks to Don Cragun For This Post:
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LEARN ABOUT SUSE
mail::spamassassin::plugin::autolearnthreshold
Mail::SpamAssassin::Plugin::AutoLearnThreshold(3) User Contributed Perl Documentation Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)
NAME
Mail::SpamAssassin::Plugin::AutoLearnThreshold - threshold-based discriminator for Bayes auto-learning
SYNOPSIS
loadplugin Mail::SpamAssassin::Plugin::AutoLearnThreshold
DESCRIPTION
This plugin implements the threshold-based auto-learning discriminator for SpamAssassin's Bayes subsystem. Auto-learning is a mechanism
whereby high-scoring mails (or low-scoring mails, for non-spam) are fed into its learning systems without user intervention, during
scanning.
Note that certain tests are ignored when determining whether a message should be trained upon:
o rules with tflags set to 'learn' (the Bayesian rules)
o rules with tflags set to 'userconf' (user configuration)
o rules with tflags set to 'noautolearn'
Also note that auto-learning occurs using scores from either scoreset 0 or 1, depending on what scoreset is used during message check. It
is likely that the message check and auto-learn scores will be different.
USER OPTIONS
The following configuration settings are used to control auto-learning:
bayes_auto_learn_threshold_nonspam n.nn (default: 0.1)
The score threshold below which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a non-spam
message.
bayes_auto_learn_threshold_spam n.nn (default: 12.0)
The score threshold above which a mail has to score, to be fed into SpamAssassin's learning systems automatically as a spam message.
Note: SpamAssassin requires at least 3 points from the header, and 3 points from the body to auto-learn as spam. Therefore, the
minimum working value for this option is 6.
perl v5.12.1 2010-03-16 Mail::SpamAssassin::Plugin::AutoLearnThreshold(3)