forked from boostorg/container_hash
Merge unordered+hash documentation updates.
[SVN r75015]
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@@ -14,11 +14,16 @@
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]
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]
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[def __issues__
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2005/n1837.pdf
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Library Extension Technical Report Issues List]]
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[include:hash intro.qbk]
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[include:hash tutorial.qbk]
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[include:hash portability.qbk]
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[include:hash disable.qbk]
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[include:hash changes.qbk]
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[include:hash rationale.qbk]
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[xinclude ref.xml]
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[include:hash links.qbk]
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[include:hash thanks.qbk]
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@@ -18,9 +18,6 @@
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[def __multi-index-short__ [@boost:/libs/multi_index/doc/index.html
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Boost.MultiIndex]]
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[def __bimap__ [@boost:/libs/bimap/index.html Boost.Bimap]]
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[def __issues__
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2005/n1837.pdf
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Library Extension Technical Report Issues List]]
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[def __hash-function__ [@http://en.wikipedia.org/wiki/Hash_function hash function]]
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[def __hash-table__ [@http://en.wikipedia.org/wiki/Hash_table hash table]]
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@@ -44,5 +41,12 @@ __issues__ (page 63), this adds support for:
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* the standard containers.
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* extending [classref boost::hash] for custom types.
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[note
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This hash function is designed to be used in containers based on
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the STL and is not suitable as a general purpose hash function.
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For more details see the [link hash.rationale rationale].
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]
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[endsect]
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@@ -90,16 +90,4 @@ boost namespace:
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Full code for this example is at
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[@boost:/libs/functional/hash/examples/portable.cpp /libs/functional/hash/examples/portable.cpp].
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[h2 Other Issues]
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On Visual C++ versions 6.5 and 7.0, `hash_value` isn't overloaded for built in
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arrays. __boost_hash__, [funcref boost::hash_combine] and [funcref boost::hash_range] all use a workaround to
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support built in arrays so this shouldn't be a problem in most cases.
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On Visual C++ versions 6.5 and 7.0, function pointers aren't currently supported.
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When using GCC on Solaris, `boost::hash_value(long double)` treats
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`long double`s as `double`s - so the hash function doesn't take into account the
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full range of values.
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[endsect]
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50
doc/rationale.qbk
Normal file
50
doc/rationale.qbk
Normal file
@@ -0,0 +1,50 @@
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[/ Copyright 2011 Daniel James.
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/ Distributed under the Boost Software License, Version 1.0. (See accompanying
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/ file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt) ]
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[section:rationale Rationale]
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The rationale for the design can be found in the original design
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[footnote issue 6.18 of the __issues__ (page 63)], but an issue that
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occasionally comes up is the quality of the hash function, so that
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demands some more attention.
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Many hash functions strive to have little correlation between the input
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and output values. They attempt to uniformally distribute the output
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values for very similar inputs. This hash function makes no such
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attempt. In fact, for integers, the result of the hash function is often
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just the input value. So similar but different input values will often
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result in similar but different output values.
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This means that it is not appropriate as a general hash function. For
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example, a hash table may discard bits from the hash function resulting
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in likely collisions, or might have poor collision resolution when hash
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values are clustered together. In such cases this hash function will
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preform poorly.
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So why not implement a higher quality hash function? Well, the standard
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makes no such guarantee, it just requires that the hashes of two
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different values are unlikely to collide. Containers or algorithms
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designed to work with the standard hash function will have to be
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implemented to work well when the hash function's output is correlated
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to its input. Since they are paying that cost a higher quality hash function
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would be wasteful.
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For other use cases, if you do need a higher quality hash function,
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there are several options
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available. One is to use a second hash on the output of this hash
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function, such as [@http://www.concentric.net/~ttwang/tech/inthash.htm
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Thomas Wang's hash function]. This this may not work as
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well as a hash algorithm tailored for the input.
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For strings that are several fast, high quality hash functions
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available (for example [@http://code.google.com/p/smhasher/ MurmurHash3]
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and [@http://code.google.com/p/cityhash/ Google's CityHash]),
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although they tend to be more machine specific.
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These may also be appropriate for hashing a binary representation of
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your data - providing that all equal values have an equal
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representation, which is not always the case (e.g. for floating point
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values).
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[endsect]
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