Games-Bingo
| Author/Maintainer | JONASBN |
|---|---|
| Version | |
| Release Date | 2007-08-12 |
| Kwalitee | 120.00 |
| Core Kwalitee | 96.67 |
| External Links |
Kwalitee Fails
Core metrics
Fails
These fails do affect your Kwalitee scores. This distribution may not be installed cleanly, or may have some issues in license or documentation. Please consider fixing them, or report us if they are false.
| metric | remedy |
|---|---|
| consistent version |
This distribution has .pm files with inconsistent versions. Split the distribution, or fix the version numbers to make them consistent (use the highest version number to avoid version downgrade). |
Extra metrics
Fails
These fails affect your total Kwalitee score, but don't affect the one for the Game. Some of them should be fixed by all means. Others are just matters of taste.
| metric | remedy |
|---|---|
| metayml declares perl version |
This distribution does not declare the minimum perl version in META.yml. If you are using Build.PL define the {requires}{perl} = VERSION field. If you are using MakeMaker (Makefile.PL) you should upgrade ExtUtils::MakeMaker to 6.48 and use MIN_PERL_VERSION parameter. Perl::MinimumVersion can help you determine which version of Perl your module needs. |
| use warnings |
This distribution does not 'use warnings;' in all of its modules. Note that this is not about that your modules actually warn when something bad happens. It's bad if nobody can tell if a module warns or not, without reading the source code of your favorite module that actually enforces warnings. In other words, it's bad if someone feels the need to add 'use warnings' to your modules. Add 'use warnings' to all modules (this will require perl > 5.6), or convince us that your favorite module is well-known enough and people can easily see the modules warn when something bad happens. |
| is prereq |
This distribution is not required by another distribution by another author. Convince / force / bribe another CPAN author to use this distribution. |
Experimental metrics
Excellent. Your distribution passes all the experimental metrics.