NAME

       Data::Password::zxcvbn::Match::Spatial - match class for sequences of nearby keys

VERSION

       version 1.0.6

DESCRIPTION

       This class represents the guess that a certain substring of a password can be obtained by
       moving a finger in a continuous line on a keyboard.

ATTRIBUTES

   "graph_name"
       The name of the keyboard / adjacency graph used for this match

   "graph_meta"
       Hashref, spatial information about the graph:

       •   "starting_positions"

           the number of keys in the keyboard, or starting nodes in the graph

       •   "average_degree"

           the average number of neighbouring keys, or average out-degree of the graph

   "shifted_count"
       How many of the keys need to be "shifted" to produce the token

   "turns"
       How many times the finger must have changed direction to produce the token

METHODS

   "estimate_guesses"
       The number of guesses grows super-linearly with the length of the pattern, the number of
       "turns", and the amount of shifted keys.

   "make"
         my @matches = @{ Data::Password::zxcvbn::Match::Spatial->make(
           $password,
           { # this is the default
             graphs => \%Data::Password::zxcvbn::AdjacencyGraph::graphs,
           },
         ) };

       Scans the $password for substrings that can be produced by typing on the keyboards
       described by the "graphs".

       The data structure needed for "graphs" is a bit complicated; look at the
       "build-keyboard-adjacency-graphs" script in the distribution's repository
       <https://bitbucket.org/broadbean/p5-data-password-zxcvbn/src/master/maint/build-keyboard-
       adjacency-graphs>.

   "feedback_warning"
   "feedback_suggestions"
       This class suggests that short keyboard patterns are easy to guess, and to use longer and
       less straight ones.

   "fields_for_json"
       The JSON serialisation for matches of this class will contain "token i j guesses
       guesses_log10 graph_name shifted_count turns".

AUTHOR

       Gianni Ceccarelli <gianni.ceccarelli@broadbean.com>

COPYRIGHT AND LICENSE

       This software is copyright (c) 2022 by BroadBean UK, a CareerBuilder Company.

       This is free software; you can redistribute it and/or modify it under the same terms as
       the Perl 5 programming language system itself.