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9 :45

	English ^.^h\|Concurrent ^\| `boost::concurrent_node_set` + `boost::concurrent_node_map` ^\| `boost::concurrent_flat_set` + `boost::concurrent_flat_map` 143/10000 · 143
10 :53

	English Closed-addressing containers are fully compliant with the C++ specification 79/10000 · 79
11 :54

	English for unordered associative containers and feature one of the fastest implementations in the market within the technical constraints imposed by the required standard interface. 174/10000 · 174
12 :56

	English Open-addressing containers rely on much faster data structures and algorithms 81/10000 · 81
13 :57

	English (more than 2 times faster in typical scenarios) while slightly diverging from the standard interface to accommodate the implementation. There are two variants: flat (the fastest) and node-based, which provide pointer stability under rehashing at the expense of being slower. 282/10000 · 282
14 :61

	English Finally, concurrent containers are designed and implemented to be used in high-performance 94/10000 · 94
15 :62

	English multithreaded scenarios. Their interface is radically different from that of regular C++ containers. Flat and node-based variants are provided. 143/10000 · 143
16 :65

	English All sets and maps in Boost.Unordered are instantiatied similarly as `std::unordered_set` and `std::unordered_map`, respectively: 128/10000 · 128
17 :91

	English Storing an object in an unordered associative container requires both a key equality function and a hash function. The default function objects in the standard containers support a few basic types including integer types, floating point types, pointer types, and the standard strings. Since Boost.Unordered uses link:../../../../container_hash/index.html[boost::hash^] it also supports some other types, including standard containers. To use any types not supported by these methods you have to extend Boost.Hash to support the type or use your own custom equality predicates and hash functions. See the xref:hash_equality.adoc#hash_equality[Equality Predicates and Hash Functions], section for more details. 708/10000 · 708
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