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In OCaml, the library function Oo.copy performs shallow copying of an object. In Python, the library's copy module provides shallow copy and deep copy of objects through the copy() and deepcopy() functions, respectively. [13] Programmers may define special methods __copy__() and __deepcopy__() in an object to provide custom copying implementation.
One example is mutability: whether the objects storing extrinsic flyweight state can change. Immutable objects are easily shared, but require creating new extrinsic objects whenever a change in state occurs. In contrast, mutable objects can share state. Mutability allows better object reuse via the caching and re-initialization of old, unused ...
A technique that blends the advantages of mutable and immutable objects, and is supported directly in almost all modern hardware, is copy-on-write (COW). Using this technique, when a user asks the system to copy an object, it instead merely creates a new reference that still points to the same object.
Perhaps the simplest persistent data structure is the singly linked list or cons-based list, a simple list of objects formed by each carrying a reference to the next in the list. This is persistent because the tail of the list can be taken, meaning the last k items for some k, and new nodes can be added in front of it. The tail will not be ...
The use of call by sharing with mutable objects is an alternative to input/output parameters: the parameter is not assigned to (the argument is not overwritten and object identity is not changed), but the object (argument) is mutated. [45] For example, in Python, lists are mutable and passed with call by sharing, so:
The algorithm has O(1) amortized performance when appending a series of objects to the end of a hashed array tree. In a 1999 paper, [ 18 ] Brodnik et al. describe a tiered dynamic array data structure, which wastes only n 1/2 space for n elements at any point in time, and they prove a lower bound showing that any dynamic array must waste this ...
Class variables – belong to the class as a whole; there is only one copy of each variable, shared across all instances of the class; Instance variables or attributes – data that belongs to individual objects; every object has its own copy of each one. All 4 variables mentioned above (first_name, position etc) are instance variables.
Mojo def functions use value semantics by default (functions receive a copy of all arguments and any modifications are not visible outside the function), while Python functions use reference semantics (functions receive a reference on their arguments and any modification of a mutable argument inside the function is visible outside). [35]