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			204 lines
		
	
	
		
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[/ Copyright 2006-2008 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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[def __wang__
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    [@http://www.concentric.net/~Ttwang/tech/inthash.htm
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    Thomas Wang's article on integer hash functions]]
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[def __n2345__
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    [@http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2007/n2345.pdf
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    N2345, 'Placement Insert for Containers']]
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[def __n2369__
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    [@http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2007/n2369.pdf
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    the August 2007 version of the working draft standard]]
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[section:rationale Implementation Rationale]
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The intent of this library is to implement the unordered
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containers in the draft standard, so the interface was fixed. But there are
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still some implementation decisions to make. The priorities are
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conformance to the standard and portability.
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The [@http://en.wikipedia.org/wiki/Hash_table wikipedia article on hash tables]
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has a good summary of the implementation issues for hash tables in general.
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[h2 Data Structure]
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By specifying an interface for accessing the buckets of the container the
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standard pretty much requires that the hash table uses chained addressing.
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It would be conceivable to write a hash table that uses another method.  For
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example, it could use open addressing, and use the lookup chain to act as a
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bucket but there are a some serious problems with this: 
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* The draft standard requires that pointers to elements aren't invalidated, so
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  the elements can't be stored in one array, but will need a layer of
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  indirection instead - losing the efficiency and most of the memory gain,
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  the main advantages of open addressing.
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* Local iterators would be very inefficient and may not be able to
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  meet the complexity requirements.
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* There are also the restrictions on when iterators can be invalidated. Since
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  open addressing degrades badly when there are a high number of collisions the
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  restrictions could prevent a rehash when it's really needed. The maximum load
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  factor could be set to a fairly low value to work around this - but the
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  standard requires that it is initially set to 1.0.
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* And since the standard is written with a eye towards chained
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  addressing, users will be surprised if the performance doesn't reflect that.
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So chained addressing is used.
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For containers with unique keys I store the buckets in a single-linked list.
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There are other possible data structures (such as a double-linked list)
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that allow for some operations to be faster (such as erasing and iteration)
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but the possible gain seems small compared to the extra memory needed.
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The most commonly used operations (insertion and lookup) would not be improved
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at all.
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But for containers with equivalent keys a single-linked list can degrade badly
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when a large number of elements with equivalent keys are inserted. I think it's
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reasonable to assume that users who choose to use `unordered_multiset` or
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`unordered_multimap` do so because they are likely to insert elements with
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equivalent keys. So I have used an alternative data structure that doesn't
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degrade, at the expense of an extra pointer per node.
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This works by adding storing a circular linked list for each group of equivalent
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nodes in reverse order. This allows quick navigation to the end of a group (since
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the first element points to the last) and can be quickly updated when elements
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are inserted or erased. The main disadvantage of this approach is some hairy code
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for erasing elements.
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[h2 Number of Buckets]
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There are two popular methods for choosing the number of buckets in a hash
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table. One is to have a prime number of buckets, another is to use a power
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of 2.
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Using a prime number of buckets, and choosing a bucket by using the modulus
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of the hash function's result will usually give a good result. The downside
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is that the required modulus operation is fairly expensive.
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Using a power of 2 allows for much quicker selection of the bucket
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to use, but at the expense of loosing the upper bits of the hash value.
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For some specially designed hash functions it is possible to do this and
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still get a good result but as the containers can take arbitrary hash
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functions this can't be relied on.
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To avoid this a transformation could be applied to the hash function, for an
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example see __wang__.  Unfortunately, a transformation like Wang's requires
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knowledge of the number of bits in the hash value, so it isn't portable enough.
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This leaves more expensive methods, such as Knuth's Multiplicative Method
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(mentioned in Wang's article). These don't tend to work as well as taking the
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modulus of a prime, and the extra computation required might negate
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efficiency advantage of power of 2 hash tables.
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So, this implementation uses a prime number for the hash table size.
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[h2 Equality operators]
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`operator==` and `operator!=` are not included in the standard, but I've
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added them as I think they could be useful and can be efficiently
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implemented. They are specified
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differently to the standard associative containers, comparing keys
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using the equality predicate rather than `operator==`. This is inconsistent
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with the other containers but it is probably closer to user's expectations.
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[h2 Active Issues and Proposals]
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[h3 Removing unused allocator functions]
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In
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2257.html
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N2257, removing unused allocator functions],
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Matt Austern suggests removing the `construct`, `destroy` and `address` member
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functions - all of which Boost.Unordered calls. Changing this will simplify the
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implementation, as well as make supporting `emplace` easier, but means that the
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containers won't support allocators which require these methods to be called.
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Detlef Vollmann opposed this change in
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[@http://www.open-std.org/JTC1/SC22/WG21/docs/papers/2007/n2339.htm N2339].
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[h3 Swapping containers with unequal allocators]
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It isn't clear how to swap containers when their allocators aren't equal.
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This is 
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/lwg-active.html#431
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Issue 431: Swapping containers with unequal allocators].
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Howard Hinnant wrote about this in
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2004/n1599.html N1599]
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and suggested swapping both the allocators and the containers' contents.
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But the committee have now decided that `swap` should do a fast swap if the
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allocator is Swappable and a slow swap using copy construction otherwise. To
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make this distinction requires concepts.
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In
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2007/n2387.pdf
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N2387, Omnibus Allocator Fix-up Proposals],
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Pablo Halpern suggests that there are actually two distinct allocator models,
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"Moves with Value" and "Scoped" which behave differently:
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[:
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When allocators are allowed to have state, it is necessary to have a model for
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determining from where an object obtains its allocator. We’ve identified two such
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models: the “Moves with Value” allocator model and the “Scoped” allocator model.
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In the “Moves with Value” allocator model, the copy constructor of an allocator-aware
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class will copy both the value and the allocator from its argument. This is the model
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specified in the C++03 standard. With this model, inserting an object into a container
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usually causes the new container item to copy the allocator from the object that was
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inserted. This model can be useful in special circumstances, e.g., if the items within a
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container use an allocator that is specially tuned to the item’s type.
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In the “Scoped” allocator model, the allocator used to construct an object is determined
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by the context of that object, much like a storage class. With this model, inserting an
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object into a container causes the new container item to use the same allocator as the
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container. To avoid allocators being used in the wrong context, the allocator is never
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copied during copy or move construction. Thus, it is possible using this model to use
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allocators based on short-lived resources without fear that an object will transfer its
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allocator to a copy that might outlive the (shared) allocator resource. This model is
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reasonably safe and generally useful on a large scale. There was strong support in the
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2005 Tremblant meeting for pursuing an allocator model that propagates allocators
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from container to contained objects.
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]
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With these models the choice becomes clearer:
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[:
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I introduced the “Moves with Value” allocator model and the
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“Scoped” allocator model. In the former case, the allocator is copied when the container
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is copy-constructed. In the latter case it is not. Swapping the allocators is the right thing
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to do if the containers conform to the “Moves with Value” allocator model and
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absolutely the wrong thing to do if the containers conform to the “Scoped” allocator
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model. With the two allocator models well-defined, the desired behavior becomes clear.
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]
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The proposal is that allocators are swapped if the allocator follows the
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"Moves with Value" model and the allocator is swappable. Otherwise a slow swap
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is used. Since containers currently only support the "Moves with Value" model
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this is consistent with the committee's current recommendation (although it
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suggests using a trait to detect if the allocator is swappable rather than a
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concept).
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Since there is currently neither have a swappable trait or concept for
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allocators this implementation always performs a slow swap.
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[h3 Are insert and erase stable for unordered_multiset and unordered_multimap?]
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It is not specified if `unordered_multiset` and `unordered_multimap` preserve the order
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of elements with equivalent keys (i.e. if they're stable under `insert` and `erase`).
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This is [@http://www.open-std.org/jtc1/sc22/wg21/docs/lwg-active.html#518 issue 581].
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The current proposal is that insert, erase and rehash are stable - so they are here.
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(Update: during the release of this version, this requirement was added to
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2691.pdf
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the lastest working draft]).
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[h3 const_local_iterator cbegin, cend missing from TR1]
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[@http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2008/n2684.html#691
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Issue 691] is that `cbegin` and `cend` are missing for local iterators.
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The current resolution is that they'll be added, so I've added them.
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[endsect]
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