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  2. Foreach loop - Wikipedia

    en.wikipedia.org/wiki/Foreach_loop

    The C language does not have collections or a foreach construct. However, it has several standard data structures that can be used as collections, and foreach can be made easily with a macro. However, two obvious problems occur: The macro is unhygienic: it declares a new variable in the existing scope which remains after the loop.

  3. Iterator - Wikipedia

    en.wikipedia.org/wiki/Iterator

    In Python, a collection object can be iterated directly: ... (The previous statement applies to Python 3.x. In Python 2 ... has Int $!count = 1; multi method new ...

  4. Collection (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Collection_(abstract_data...

    In computer programming, a collection is an abstract data type that is a grouping of items that can be used in a polymorphic way. Often, the items are of the same data type such as int or string . Sometimes the items derive from a common type; even deriving from the most general type of a programming language such as object or variant .

  5. Bloom filter - Wikipedia

    en.wikipedia.org/wiki/Bloom_filter

    The size of counters is usually 3 or 4 bits. Hence counting Bloom filters use 3 to 4 times more space than static Bloom filters. In contrast, the data structures of Pagh, Pagh & Rao (2005) and Fan et al. (2014) also allow deletions but use less space than a static Bloom filter. Another issue with counting filters is limited scalability.

  6. Reference counting - Wikipedia

    en.wikipedia.org/wiki/Reference_counting

    As a collection algorithm, reference counting tracks, for each object, a count of the number of references to it held by other objects. If an object's reference count reaches zero, the object has become inaccessible, and can be destroyed. When an object is destroyed, any objects referenced by that object also have their reference counts decreased.

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})

  8. Counting sort - Wikipedia

    en.wikipedia.org/wiki/Counting_sort

    In the most general case, the input to counting sort consists of a collection of n items, each of which has a non-negative integer key whose maximum value is at most k. [3] In some descriptions of counting sort, the input to be sorted is assumed to be more simply a sequence of integers itself, [ 1 ] but this simplification does not accommodate ...

  9. Weak reference - Wikipedia

    en.wikipedia.org/wiki/Weak_reference

    In computer programming, a weak reference is a reference that does not protect the referenced object from collection by a garbage collector, unlike a strong reference.An object referenced only by weak references – meaning "every chain of references that reaches the object includes at least one weak reference as a link" – is considered weakly reachable, and can be treated as unreachable and ...