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Functional.pm

Hits: 5
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CGI::Minimal

Hits: 11
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Class:NamedParms

Hits: 8
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Class::ParmList

Hits: 11
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0.0
Functional.pm is a Perl
CGI::Minimal provides a
Class:NamedParms provides key
Class::ParmList is a general
module which adds features
lightweight alternative to
name checking for named
named parameter list parser.
which make Perl slightly
the CGI.pm module shipped
accessor parameters. This
It handles default values,
more functional-like by
with Perl. It is
allows the use of a generic
required vs allowed
adding more functional-like
approximately 1/6th the size
'get/set' type parameterized
distinctions, optional name
functions to Perl, such as
of CGI.pm but provides
accessor while automatically
lexical checking, multiple
foldl and foldr, as well as
largely compatible access to
catching accidental
retrieval, and error
the use of infinite lists.
form decoding and a small
mis-spellings and usage of
reporting. It also works
 
number of other tasks
uninitialized parameters.
well as a complement to
 
essential to writing CGI
This catches a large class
Class::NamedParms.
 
scripts in Perl. Designed
of programming errors
 
 
for people who are
without requiring a new
 
 
comfortable working closely
accessor for every object
 
 
with the HTTP protocal and
parameter.
 
 
writing HTML directly.
 
 
 
Supports file uploading as
 
 
 
just another transparently
 
 
 
decoded form field.
 
 


Date: Sep, 20 1999


Date: Sep, 16 1999


Date: Sep, 16 1999


Date: Sep, 16 1999
Search::InvertedIndex is A
Tie::DB_File::SplitHash is
Tie::FileLRUCache provides a
This is an experimental Perl
general purpose inverted
designed for support of file
persistent filesystem based
module that allows you to
indexing system suitable for
size limitted OSes. It
LRU cache. It uses the 'last
use lists as the keys for
medium scale searching. By
transparently splits a
accessed' timestamp
multi-level hashes.
mapping 'keys' to 'indexes'
DB_File database into as
generated by the file system
Excellent for parse tree
it provides ultra-fast look
many distinct files as
to determine the 'oldest'
generation and other similar
ups of all 'indexes'
desired. It also distributes
cache entry and discards the
tasks where you need to
containing specific 'keys'.
hash entries between the
oldest cache entries when
create very deep trees or
This produces highly
files using a randomization
needed to stay under the
the tree depth is not known
scalable behavior where
algorithm. It has the effect
-keep_last limit. If you
in advance. A real
thousands, or even millions
of allowing DB_File hashes
store thing very fast (such
performance win on very deep
of records can be searched
to grow to the full size of
that many entries receive
trees over 'walking the
extremely quickly.
the partition. Requires
the _same_ time stamp), it
tree' starting from the root
 
'Digest::SHA1' and 'DB_File'
is essentially a coin toss
node.
 
to be installed.
which entry within a single
 
 
 
timestamped second gets
 
 
 
purged from the cache to
 
 
 
make room for new ones.
 


Date: Sep, 16 1999


Date: Sep, 16 1999


Date: Sep, 16 1999


Date: Sep, 16 1999
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