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Revision: 1.3
Committed: Wed Jun 28 01:09:04 2017 UTC (6 years, 10 months ago) by root
Branch: MAIN
CVS Tags: HEAD
Changes since 1.2: +1 -1 lines
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File Contents

# Content
1 =head1 NAME
2
3 Digest::FNV::XS - Fowler/Noll/Vo (FNV) hashes
4
5 =head1 SYNOPSIS
6
7 use Digest::FNV::XS; # nothing exported by default
8
9 =head1 DESCRIPTION
10
11 This module is more or less a faster version of L<Digest::FNV>,
12 that additionally supports binary data, incremental hashing,
13 more FNV variants and more. The API isn't compatible (and
14 neither are the generated hash values. The hash values computed by
15 this module match the official FNV hash values as documented on
16 L<http://www.isthe.com/chongo/tech/comp/fnv/>).
17
18 =over 4
19
20 =cut
21
22 package Digest::FNV::XS;
23
24 BEGIN {
25 $VERSION = 0.02;
26 @ISA = qw(Exporter);
27 @EXPORT_OK = qw(fnv0_32 fnv0_64 fnv1_32 fnv1a_32 fnv1_64 fnv1a_64 xorfold_32 xorfold_64 reduce_32 reduce_64);
28
29 require Exporter;
30 Exporter::export_ok_tags(keys %EXPORT_TAGS);
31
32 require XSLoader;
33 XSLoader::load Digest::FNV::XS, $VERSION;
34 }
35
36 =item $hash = Digest::FNV::XS::fnv1a_32 $data[, $init]
37
38 =item $hash = Digest::FNV::XS::fnv1a_64 $data[, $init]
39
40 Compute the 32 or 64 bit FNV-1a hash of the given string.
41
42 C<$init> is the optional initialisation value, allowing incremental
43 hashing. If missing or C<undef> then the appropriate FNV constant is used.
44
45 The 64 bit variant is only available when perl was compiled with 64 bit support.
46
47 The FNV-1a algorithm is the preferred variant, as it has slightly higher
48 quality and speed then FNV-1.
49
50 =item $hash = Digest::FNV::XS::fnv1_32 $data[, $init]
51
52 =item $hash = Digest::FNV::XS::fnv1_64 $data[, $init]
53
54 Compute the 32 or 64 bit FNV-1 hash of the given string.
55
56 C<$init> is the optional initialisation value, allowing incremental
57 hashing. If missing or C<undef> then the appropriate FNV constant is used.
58
59 The 64 bit variant is only available when perl was compiled with 64 bit support.
60
61 The FNV-1a variant is preferable if you can choose.
62
63 =item $hash = Digest::FNV::XS::fnv0_32 $data[, $init]
64
65 =item $hash = Digest::FNV::XS::fnv0_64 $data[, $init]
66
67 The obsolete FNV-0 algorithm. Same as calling the FNV1 variant with C<$init = 0>.
68
69 C<$init> is the optional initialisation value, allowing incremental
70 hashing. If missing or C<undef> then the appropriate FNV constant is used.
71
72 The 64 bit variant is only available when perl was compiled with 64 bit support.
73
74 =item $hash = Digest::FNV::XS::xorfold_32 $hash, $bits
75
76 =item $hash = Digest::FNV::XS::xorfold_64 $hash, $bits
77
78 XOR-folds the 32 (64) bit FNV hash to C<$bits> bits, which can be any
79 value between 1 and 32 (64) inclusive.
80
81 XOR-folding is a good method to reduce the FNV hash to a power of two range.
82
83 =item $hash = Digest::FNV::XS::reduce_32 $hash, $range
84
85 =item $hash = Digest::FNV::XS::reduce_64 $hash, $range
86
87 These two functions can be used to reduce a 32 (64) bit FNV hash to
88 an integer in the range 0 .. C<$range>, using the retry method, which
89 distributes any bias more evenly.
90
91 =back
92
93 =head2 INCREMENTAL HASHING
94
95 You can hash data incrementally by feeding the previous hahs value as
96 C<$init> argument for the next call, for example:
97
98 $hash = fnv1a_32 $data1;
99 $hash = fnv1a_32 $data2, $hash; # and so on
100
101 Or in a loop (relying on the fact that C<$hash> is C<undef> initially):
102
103 my $hash;
104 $hash = fnv1a_32 $_, $hash
105 for ...;
106
107 =head2 REDUCIDNG THE HASH VALUE
108
109 A common problem is to reduce the 32 (64) bit FNV hash value to a smaller range,
110 0 .. C<$range>.
111
112 The easiest method to do that, is to mask (For power of two) or modulo
113 (for other values) the hash value, i.e.:
114
115 $inrage = $hash & ($range - 1) # for $range values that are power of two
116 $inrage = $hash % $range # for any range
117
118 This is called the lazy mod mapping method, which creates small biases that rarely
119 cause any problems in practise.
120
121 Nevertheless, you can improve the distribution of the bias by using
122 I<XOR folding>, for power of two ranges (and 32 bit hashews, there is also
123 C<forfold_64>)
124
125 $inrage = Digest::FNV::XS::xorfold_32 $hash, $log2_of_range
126
127 And, using the retry method, for generic ranges (and 32 bit hashes, there
128 is also C<reduce_64>):
129
130 $inrange = Digest::FNX::XS::reduce_32 $hash, $range
131
132 =head1 AUTHOR
133
134 Marc Lehmann <schmorp@schmorp.de>
135 http://software.schmorp.de/pkg/Digest-FNV-XS.html
136
137 =cut
138
139 1
140