In object-oriented programming, inheritance is the mechanism of basing an object or class upon another object (prototype-based inheritance) or class (class-based inheritance), retaining similar implementation. Also defined as deriving new classes (sub classes) from existing ones such as super class or base class and then forming them into a hierarchy of classes. In most class-based object-oriented languages, an object created through inheritance, a "child object", acquires all the properties and behaviors of the "parent object" , with the exception of: constructors, destructor, overloaded operators and friend functions of the base class. Inheritance allows programmers to create classes that are built upon existing classes,[1] to specify a new implementation while maintaining the same behaviors (realizing an interface), to reuse code and to independently extend original software via public classes and interfaces. The relationships of objects or classes through inheritance give rise to a directed graph.
Inheritance was invented in 1969 for Simula[2] and is now used throughout many object-oriented programming languages such as Java, C++ or Python.
An inherited class is called a subclass of its parent class or super class. The term "inheritance" is loosely used for both class-based and prototype-based programming, but in narrow use the term is reserved for class-based programming (one class inherits from another), with the corresponding technique in prototype-based programming being instead called delegation (one object delegates to another).
Inheritance should not be confused with subtyping.[3][4] In some languages inheritance and subtyping agree,[a] whereas in others they differ; in general, subtyping establishes an is-a relationship, whereas inheritance only reuses implementation and establishes a syntactic relationship, not necessarily a semantic relationship (inheritance does not ensure behavioral subtyping). To distinguish these concepts, subtyping is also known as interface inheritance, whereas inheritance as defined here is known as implementation inheritance or code inheritance.[5] Still, inheritance is a commonly used mechanism for establishing subtype relationships.[6]
Inheritance is contrasted with object composition, where one object contains another object (or objects of one class contain objects of another class); see composition over inheritance. Composition implements a has-a relationship, in contrast to the is-a relationship of subtyping.
There are various types of inheritance, based on paradigm and specific language.[7]
where subclasses inherit the features of one superclass. A class acquires the properties of another class.
where one class can have more than one superclass and inherit features from all parent classes.
"Multiple inheritance ... was widely supposed to be very difficult to implement efficiently. For example, in a summary of C++ in his book on Objective C, Brad Cox actually claimed that adding multiple inheritance to C++ was impossible. Thus, multiple inheritance seemed more of a challenge. Since I had considered multiple inheritance as early as 1982 and found a simple and efficient implementation technique in 1984, I couldn't resist the challenge. I suspect this to be the only case in which fashion affected the sequence of events."[8]
where a subclass is inherited from another subclass. It is not uncommon that a class is derived from another derived class as shown in the figure "Multilevel inheritance".
The class A serves as a base class for the derived class B, which in turn serves as a base class for the derived class C. The class B is known as intermediate base class because it provides a link for the inheritance between A and C. The chain ABC is known as inheritance path.
A derived class with multilevel inheritance is declared as follows:
Class A(...); // Base class
Class B : public A(...); // B derived from A
Class C : public B(...); // C derived from B
This process can be extended to any number of levels.
This is where one class serves as a superclass (base class) for more than one sub class. For example, a parent class, A, can have two subclasses B and C. Both B and C's parent class is A, but B and C are two separate subclasses.
Hybrid inheritance is when a mix of two or more of the above types of inheritance occurs. An example of this is when class A has a subclass B which has two subclasses, C and D. This is a mixture of both multilevel inheritance and hierarchal inheritance.
Subclasses, derived classes, heir classes, or child classes are modular derivative classes that inherits one or more language entities from one or more other classes (called superclass, base classes, or parent classes). The semantics of class inheritance vary from language to language, but commonly the subclass automatically inherits the instance variables and member functions of its superclasses.
The general form of defining a derived class is:[9]
class SubClass: visibility SuperClass
{
// subclass members
};
Some languages support also the inheritance of other constructs. For example, in Eiffel, contracts that define the specification of a class are also inherited by heirs. The superclass establishes a common interface and foundational functionality, which specialized subclasses can inherit, modify, and supplement. The software inherited by a subclass is considered reused in the subclass. A reference to an instance of a class may actually be referring to one of its subclasses. The actual class of the object being referenced is impossible to predict at compile-time. A uniform interface is used to invoke the member functions of objects of a number of different classes. Subclasses may replace superclass functions with entirely new functions that must share the same method signature.
In some languages a class may be declared as non-subclassable by adding certain class modifiers to the class declaration. Examples include the final
keyword in Java and C++11 onwards or the sealed
keyword in C#. Such modifiers are added to the class declaration before the class
keyword and the class identifier declaration. Such non-subclassable classes restrict reusability, particularly when developers only have access to precompiled binaries and not source code.
A non-subclassable class has no subclasses, so it can be easily deduced at compile time that references or pointers to objects of that class are actually referencing instances of that class and not instances of subclasses (they don't exist) or instances of superclasses (upcasting a reference type violates the type system). Because the exact type of the object being referenced is known before execution, early binding (also called static dispatch) can be used instead of late binding (also called dynamic dispatch), which requires one or more virtual method table lookups depending on whether multiple inheritance or only single inheritance are supported in the programming language that is being used.
Just as classes may be non-subclassable, method declarations may contain method modifiers that prevent the method from being overridden (i.e. replaced with a new function with the same name and type signature in a subclass). A private method is un-overridable simply because it is not accessible by classes other than the class it is a member function of (this is not true for C++, though). A final
method in Java, a sealed
method in C# or a frozen
feature in Eiffel cannot be overridden.
If the superclass method is a virtual method, then invocations of the superclass method will be dynamically dispatched. Some languages require that methods be specifically declared as virtual (e.g. C++), and in others, all methods are virtual (e.g. Java). An invocation of a non-virtual method will always be statically dispatched (i.e. the address of the function call is determined at compile-time). Static dispatch is faster than dynamic dispatch and allows optimizations such as inline expansion.
The following table shows which variables and functions get inherited dependent on the visibility given when deriving the class.[10]
Base class visibility | Derived class visibility | ||
---|---|---|---|
Public derivation | Private derivation | Protected derivation | |
|
|
|
|
Inheritance is used to co-relate two or more classes to each other.
Many object-oriented programming languages permit a class or object to replace the implementation of an aspect—typically a behavior—that it has inherited. This process is called overriding. Overriding introduces a complication: which version of the behavior does an instance of the inherited class use—the one that is part of its own class, or the one from the parent (base) class? The answer varies between programming languages, and some languages provide the ability to indicate that a particular behavior is not to be overridden and should behave as defined by the base class. For instance, in C#, the base method or property can only be overridden in a subclass if it is marked with the virtual, abstract, or override modifier, while in programming languages such as Java, different methods can be called to override other methods.[11] An alternative to overriding is hiding the inherited code.
Implementation inheritance is the mechanism whereby a subclass re-uses code in a base class. By default the subclass retains all of the operations of the base class, but the subclass may override some or all operations, replacing the base-class implementation with its own.
In the following Python example, subclasses SquareSumComputer and CubeSumComputer override the transform() method of the base class SumComputer. The base class comprises operations to compute the sum of the squares between two integers. The subclass re-uses all of the functionality of the base class with the exception of the operation that transforms a number into its square, replacing it with an operation that transforms a number into its square and cube respectively. The subclasses therefore compute the sum of the squares/cubes between two integers.
Below is an example of Python.
class SumComputer:
def __init__(self, a, b):
self.a = a
self.b = b
def transform(self, x):
raise NotImplementedError
def inputs(self):
return range(self.a, self.b)
def compute(self):
return sum(self.transform(value) for value in self.inputs())
class SquareSumComputer(SumComputer):
def transform(self, x):
return x * x
class CubeSumComputer(SumComputer):
def transform(self, x):
return x * x * x
In most quarters, class inheritance for the sole purpose of code reuse has fallen out of favor.[citation needed] The primary concern is that implementation inheritance does not provide any assurance of polymorphic substitutability—an instance of the reusing class cannot necessarily be substituted for an instance of the inherited class. An alternative technique, explicit delegation, requires more programming effort, but avoids the substitutability issue.[citation needed] In C++ private inheritance can be used as a form of implementation inheritance without substitutability. Whereas public inheritance represents an "is-a" relationship and delegation represents a "has-a" relationship, private (and protected) inheritance can be thought of as an "is implemented in terms of" relationship.[12]
Another frequent use of inheritance is to guarantee that classes maintain a certain common interface; that is, they implement the same methods. The parent class can be a combination of implemented operations and operations that are to be implemented in the child classes. Often, there is no interface change between the supertype and subtype- the child implements the behavior described instead of its parent class.[13]
Inheritance is similar to but distinct from subtyping.[14] Subtyping enables a given type to be substituted for another type or abstraction, and is said to establish an is-a relationship between the subtype and some existing abstraction, either implicitly or explicitly, depending on language support. The relationship can be expressed explicitly via inheritance in languages that support inheritance as a subtyping mechanism. For example, the following C++ code establishes an explicit inheritance relationship between classes B and A, where B is both a subclass and a subtype of A, and can be used as an A wherever a B is specified (via a reference, a pointer or the object itself).
class A {
public:
void DoSomethingALike() const {}
};
class B : public A {
public:
void DoSomethingBLike() const {}
};
void UseAnA(const A& a) {
a.DoSomethingALike();
}
void SomeFunc() {
B b;
UseAnA(b); // b can be substituted for an A.
}
In programming languages that do not support inheritance as a subtyping mechanism, the relationship between a base class and a derived class is only a relationship between implementations (a mechanism for code reuse), as compared to a relationship between types. Inheritance, even in programming languages that support inheritance as a subtyping mechanism, does not necessarily entail behavioral subtyping. It is entirely possible to derive a class whose object will behave incorrectly when used in a context where the parent class is expected; see the Liskov substitution principle. [15] (Compare connotation/denotation.) In some OOP languages, the notions of code reuse and subtyping coincide because the only way to declare a subtype is to define a new class that inherits the implementation of another.
Using inheritance extensively in designing a program imposes certain constraints.
For example, consider a class Person that contains a person's name, date of birth, address and phone number. We can define a subclass of Person called Student that contains the person's grade point average and classes taken, and another subclass of Person called Employee that contains the person's job-title, employer, and salary.
In defining this inheritance hierarchy we have already defined certain restrictions, not all of which are desirable:
The composite reuse principle is an alternative to inheritance. This technique supports polymorphism and code reuse by separating behaviors from the primary class hierarchy and including specific behavior classes as required in any business domain class. This approach avoids the static nature of a class hierarchy by allowing behavior modifications at run time and allows one class to implement behaviors buffet-style, instead of being restricted to the behaviors of its ancestor classes.
Implementation inheritance is controversial among programmers and theoreticians of object-oriented programming since at least the 1990s. Among them are the authors of Design Patterns, who advocate interface inheritance instead, and favor composition over inheritance. For example, the decorator pattern (as mentioned above) has been proposed to overcome the static nature of inheritance between classes. As a more fundamental solution to the same problem, role-oriented programming introduces a distinct relationship, played-by, combining properties of inheritance and composition into a new concept.[citation needed]
According to Allen Holub, the main problem with implementation inheritance is that it introduces unnecessary coupling in the form of the "fragile base class problem":[5] modifications to the base class implementation can cause inadvertent behavioral changes in subclasses. Using interfaces avoids this problem because no implementation is shared, only the API.[16] Another way of stating this is that "inheritance breaks encapsulation".[17] The problem surfaces clearly in open object-oriented systems such as frameworks, where client code is expected to inherit from system-supplied classes and then substituted for the system's classes in its algorithms.[5]
Reportedly, Java inventor James Gosling has spoken against implementation inheritance, stating that he would not include it if he were to redesign Java.[16] Language designs that decouple inheritance from subtyping (interface inheritance) appeared as early as 1990;[18] a modern example of this is the Go programming language.
Complex inheritance, or inheritance used within an insufficiently mature design, may lead to the yo-yo problem. When inheritance was used as a primary approach to structure code in a system in the late 1990s, developers naturally started to break code into multiple layers of inheritance as the system functionality grew. If a development team combined multiple layers of inheritance with the single responsibility principle it created many super thin layers of code, many which would only have 1 or 2 lines of code in each layer. Before teams learned the hard way that 2 or 3 layers was optimum number of layers balancing the benefit of code reuse against the complexity increase with each layer, it was not uncommon to work on inheritance frameworks with 10 and up to 30 layers. For instance 30 layers made debugging a significant challenge simply to know which layer needed debugged. PowerBuilder built one of the best code library that primarily used inheritance, it was built with 3 to 4 layers. The number of layers in an inheritance library is critical and must be kept at or below 4 layers otherwise the library becomes too complex and time consuming to use.
Another issue with inheritance is that subclasses must be defined in code, which means that program users cannot add new subclasses. Other design patterns (such as Entity–component–system) allow program users to define variations of an entity at runtime.
By: Wikipedia.org
Edited: 2021-06-18 19:25:18
Source: Wikipedia.org