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The term closure is often used as a synonym for anonymous function, though strictly, an anonymous function is a function literal without a name, while a closure is an instance of a function, a value, whose non-local variables have been bound either to values or to storage locations (depending on the language; see the lexical environment section below).
allow pack expansions in lambda init-capture; string literals as template parameters; atomic smart pointers (such as std::atomic<shared_ptr<T>> and std::atomic<weak_ptr<T>>) std::to_address to convert a pointer to a raw pointer; Changes applied to the C++20 working draft in March 2018 (Jacksonville) include: [88]
C++11 allowed lambda functions to deduce the return type based on the type of the expression given to the return statement. C++14 provides this ability to all functions. It also extends these facilities to lambda functions, allowing return type deduction for functions that are not of the form return expression;.
string.length() C++ (STL) string.length: Cobra, D, JavaScript: string.length() Number of UTF-16 code units: Java (string-length string) Scheme (length string) Common Lisp, ISLISP (count string) Clojure: String.length string: OCaml: size string: Standard ML: length string: Number of Unicode code points Haskell: string.length: Number of UTF-16 ...
An example is the compareTo method: a. compareTo (b) checks whether a comes before or after b in some ordering, but the way to compare, say, two rational numbers will be different from the way to compare two strings. Other common examples of binary methods include equality tests, arithmetic operations, and set operations like subset and union.
Lambda lifting is a meta-process that restructures a computer program so that functions are defined independently of each other in a global scope.An individual "lift" transforms a local function into a global function.
String interning speeds up string comparisons, which are sometimes a performance bottleneck in applications (such as compilers and dynamic programming language runtimes) that rely heavily on associative arrays with string keys to look up the attributes and methods of an object. Without interning, comparing two distinct strings may involve ...
Mutable (non-const) operations can then be implemented in such a way that they create new objects instead of modifying the existing ones. This approach is characteristic of functional programming and is also used by the string implementations in Java, C#, and Python. (See Immutable object.)