Chapter 18 Vectors and Arrays

Slides:



Advertisements
Similar presentations
Chapter 17 vector and Free Store Bjarne Stroustrup
Advertisements

Chapter 19 Vectors, templates, and exceptions Bjarne Stroustrup
Chapter 18 Vectors and Arrays
Chapter 18 Vectors and Arrays John Keyser’s Modification of Slides by Bjarne Stroustrup
Chapter 17 vector and Free Store John Keyser’s Modifications of Slides By Bjarne Stroustrup
Pointers and Dynamic Variables. Objectives on completion of this topic, students should be able to: Correctly allocate data dynamically * Use the new.
1 Pointers, Dynamic Data, and Reference Types Review on Pointers Reference Variables Dynamic Memory Allocation –The new operator –The delete operator –Dynamic.
Pointer Data Type and Pointer Variables
Lecture 11 vector and Free Store Bjarne Stroustrup
Slides adapted from: Bjarne Stroustrup, Programming – Principles and Practice using C++ Chapter 17 vector and Free Store Hartmut Kaiser
Computer Science and Software Engineering University of Wisconsin - Platteville 2. Pointer Yan Shi CS/SE2630 Lecture Notes.
CSCE 121: Introduction to Program Design and Concepts, Honors Dr. J. Michael Moore Spring 2015 Set 16: Vector and Free Store CSCE : Set 16:
Defining and Converting Data Copyright Kip Irvine, 2003 Last Update: 11/4/2003.
Chapter 19 Vectors, templates, and exceptions John Keyser’s Modifications of Slides By Bjarne Stroustrup
Chapter 19 Vectors, templates, and exceptions Bjarne Stroustrup
Pointers and Dynamic Memory Allocation Copyright Kip Irvine 2003, all rights reserved. Revised 10/28/2003.
Object-Oriented Programming in C++
Chapter 12: Pointers, Classes, Virtual Functions, and Abstract Classes.
Slides adapted from: Bjarne Stroustrup, Programming – Principles and Practice using C++ Chapter 19 Vectors, templates, and exceptions Hartmut Kaiser
CPSC 252 The Big Three Page 1 The “Big Three” Every class that has data members pointing to dynamically allocated memory must implement these three methods:
CSCE Introduction to Program Design and Concepts J. Michael Moore Spring 2015 Set 17: Vectors and Arrays 1 Based on slides created by Bjarne Stroustrup.
CS-1030 Dr. Mark L. Hornick 1 Basic C++ State the difference between a function/class declaration and a function/class definition. Explain the purpose.
1 Becoming More Effective with C++ … Day Two Stanley B. Lippman
Engineering Classes. Objectives At the conclusion of this lesson, students should be able to: Explain why it is important to correctly manage dynamically.
Chapter 1 C++ Basics Review (Section 1.4). Classes Defines the organization of a data user-defined type. Members can be  Data  Functions/Methods Information.
1 Chapter 15-1 Pointers, Dynamic Data, and Reference Types Dale/Weems.
CSCE Introduction to Program Design and Concepts Dr. J. Michael Moore Spring 2015 Set 18: Vectors, Templates and Exceptions 1.
Chapter 18 Vectors and Arrays Bjarne Stroustrup
1 Ugly Realities The Dark Side of C++ Chapter 12.
Memory Management.
Dynamic Allocation in C
Object Lifetime and Pointers
Dynamic Storage Allocation
Computer Organization and Design Pointers, Arrays and Strings in C
Chapter 18 Vectors and Arrays
Overview 4 major memory segments Key differences from Java stack
CSE 374 Programming Concepts & Tools
CSE 374 Programming Concepts & Tools
Chapter 13: Pointers, Classes, Virtual Functions, and Abstract Classes
Lesson One – Creating a thread
Motivation and Overview
Andy Wang Object Oriented Programming in C++ COP 3330
Pointers Revisited What is variable address, name, value?
Dynamic Memory CSCE 121 J. Michael Moore.
Chapter 10: Pointers Starting Out with C++ Early Objects Ninth Edition
Pointers and References
This pointer, Dynamic memory allocation, Constructors and Destructor
Dynamically Allocated Memory
Chapter 12: Pointers, Classes, Virtual Functions, and Abstract Classes
Classes with Dynamically Allocated Data
Overview 4 major memory segments Key differences from Java stack
Chapter 15 Pointers, Dynamic Data, and Reference Types
Pointers, Dynamic Data, and Reference Types
Chapter 19 Vectors, templates, and exceptions
Array & Pointers CSCE 121 J. Michael Moore.
Chapter 17 vector and Free Store
Chapter 15 Pointers, Dynamic Data, and Reference Types
Chapter 19 Vectors, templates, and exceptions
Jordi Cortadella and Jordi Petit Department of Computer Science
CISC/CMPE320 - Prof. McLeod
9-10 Classes: A Deeper Look.
CS410 – Software Engineering Lecture #5: C++ Basics III
COP 3330 Object-oriented Programming in C++
Data Structures and Algorithms Memory allocation and Dynamic Array
Pointers and References
ENERGY 211 / CME 211 Lecture 17 October 29, 2008.
Pointers, Dynamic Data, and Reference Types
9-10 Classes: A Deeper Look.
SPL – PS3 C++ Classes.
SPL – PS2 C++ Memory Handling.
Presentation transcript:

Chapter 18 Vectors and Arrays Bjarne Stroustrup www.stroustrup.com/Programming

Overview Vector revisited Pointers and free store Destructors How are they implemented? Pointers and free store Destructors Initialization Copy and move Arrays Array and pointer problems Changing size Templates Range checking and exceptions Stroustrup/Programming

Reminder Why look at the vector implementation? To see how the standard library vector really works To introduce basic concepts and language features Free store (heap) Copy and move Dynamically growing data structures To see how to directly deal with memory To see the techniques and concepts you need to understand C Including the dangerous ones To demonstrate class design techniques To see examples of “neat” code and good design Stroustrup/Programming

vector // a very simplified vector of doubles (as far as we got in chapter 17): class vector { int sz; // the size double* elem; // pointer to elements public: vector(int s) :sz{s}, elem{new double[s]} { } // constructor // new allocates memory ~vector() { delete[ ] elem; } // destructor // delete[] deallocates memory double get(int n) { return elem[n]; } // access: read void set(int n, double v) { elem[n]=v; } // access: write int size() const { return sz; } // the number of elements }; Stroustrup/Programming

Initialization: initializer lists We would like simple, general, and flexible initialization So we provide suitable constructors, including class vector { // … public: vector(int s); // constructor (s is the element count) vector(std::initializer_list<double> lst); // initializer-list constructor }; vector v1(20); // 20 elements, each initialized to 0 vector v2 {1,2,3,4,5}; // 5 elements: 1,2,3,4,5 Stroustrup/Programming

Initialization: initializer lists We would like simple, general, and flexible initialization So we provide suitable constructors vector::vector(int s) // constructor (s is the element count) :sz{s}, elem{new double[s]} { } { for (int i=0; i<sz; ++i) elem[i]=0; } vector::vector(std::initializer_list<double> lst) // initializer-list constructor :sz{lst.size()}, elem{new double[sz]} { } std::copy(lst.begin(),lst.end(),elem); // copy lst to elem vector v1(20); // 20 elements, each initialized to 0 vector v2 {1,2,3,4,5}; // 5 elements: 1,2,3,4,5 Stroustrup/Programming

Initialization: lists and sizes If we initialize a vector by 17 is it 17 elements (with value 0)? 1 element with value 17? By convention use () for number of elements {} for elements For example vector v1(17); // 17 elements, each with the value 0 vector v2 {17}; // 1 element with value 17 Stroustrup/Programming

Initialization: explicit constructors A problem A constructor taking a single argument defines a conversion from the argument type to the constructor’s type Our vector had vector::vector(int), so vector v1 = 7; // v1 has 7 elements, each with the value 0 void do_something(vector v) do_something(7); // call do_something() with a vector of 7 elements This is very error-prone. Unless, of course, that’s what we wanted For example complex<double> d = 2.3; // convert from double to complex<double> Stroustrup/Programming

Initialization: explicit constructors A solution Declare constructors taking a single argument explicit unless you want a conversion from the argument type to the constructor’s type class vector { // … public: explicit vector(int s); // constructor (s is the element count) }; vector v1 = 7; // error: no implicit conversion from int void do_something(vector v); do_something(7); // error: no implicit conversion from int Stroustrup/Programming

A problem Copy doesn’t work as we would have hoped (expected?) void f(int n) { vector v(n); // define a vector vector v2 = v; // what happens here? // what would we like to happen? vector v3; v3 = v; // what happens here? // … } Ideally: v2 and v3 become copies of v (that is, = makes copies) And all memory is returned to the free store upon exit from f() That’s what the standard vector does, but it’s not what happens for our still-too-simple vector Stroustrup/Programming

Naïve copy initialization (the default) By default “copy” means “copy the data members” void f(int n) { vector v1(n); vector v2 = v1; // initialization: // by default, a copy of a class copies its members // so sz and elem are copied } 3 v1: v2: 3 Disaster when we leave f()! v1’s elements are deleted twice (by the destructor) Stroustrup/Programming

Naïve copy assignment (the default) void f(int n) { vector v1(n); vector v2(4); v2 = v1; // assignment: // by default, a copy of a class copies its members // so sz and elem are copied } 3 v1: 2nd 1st v2: 4 3 Disaster when we leave f()! v1’s elements are deleted twice (by the destructor) memory leak: v2’s elements are not deleted Stroustrup/Programming

Copy constructor (initialization) class vector { int sz; double* elem; public: vector(const vector&) ; // copy constructor: define copy (below) // … }; vector::vector(const vector& a) :sz{a.sz}, elem{new double[a.sz]} // allocate space for elements, then initialize them (by copying) { for (int i = 0; i<sz; ++i) elem[i] = a.elem[i]; } Stroustrup/Programming

Copy with copy constructor void f(int n) { vector v1(n); vector v2 = v1; // copy using the copy constructor // the for loop copies each value from v1 into v2 } 3 v1: v2: 3 The destructor correctly deletes all elements (once only for each vector) Stroustrup/Programming

Copy assignment Operator = must copy a’s elements class vector { int sz; double* elem; public: vector& operator=(const vector& a); // copy assignment: define copy (below) // … }; x=a; a: 3 8 4 2 1st x: 4 3 1 2 3 4 Memory leak? (no) 2nd 8 4 2 Operator = must copy a’s elements Stroustrup/Programming

Copy assignment vector& vector::operator=(const vector& a) // like copy constructor, but we must deal with old elements // make a copy of a then replace the current sz and elem with a’s { double* p = new double[a.sz]; // allocate new space for (int i = 0; i<a.sz; ++i) p[i] = a.elem[i]; // copy elements delete[ ] elem; // deallocate old space sz = a.sz; // set new size elem = p; // set new elements return *this; // return a self-reference // The this pointer is explained in Lecture 19 // and in 17.10 } Stroustrup/Programming

Copy with copy assignment void f(int n) { vector v1 {6,24,42}; vector v2(4); v2 = v1; // assignment } 3 6 24 42 delete[ ]d by = v1: No memory Leak 1st v2: 4 3 2nd 6 24 42 Stroustrup/Programming

Copy terminology Shallow copy: copy only a pointer so that the two pointers now refer to the same object What pointers and references do Deep copy: copy what the pointer points to so that the two pointers now each refer to a distinct object What vector, string, etc. do Requires copy constructors and copy assignments for container classes Must copy “all the way down” if there are more levels in the object Copy of x: Copy of x: x: x: y: y: Copy of y: Shallow copy Deep copy Stroustrup/Programming

Deep and shallow copy 2 2 v2: v1: 2 4 2 3 4 vector<int> v1 {2,4}; vector<int> v2 = v1; // deep copy (v2 gets its own copy of v1’s elements) v2[0] = 3; // v1[0] is still 2 9 7 r2: r1: b: int b = 9; int& r1 = b; int& r2 = r1; // shallow copy (r2 refers to the same variable as r1) r2 = 7; // b becomes 7 Stroustrup/Programming

Move Consider vector fill(istream& is) { vector res; for (double x; is>>x; ) res.push_back(x); return res; // returning a copy of res could be expensive // returning a copy of res would be silly! }   void use() vector vec = fill(cin); // … use vec … Stroustrup/Programming

What we want: Move Before return res; in fill() After return res; (after vector vec = fill(cin); ) uninitialized vec: res: 3 3 vec: res: nullptr Stroustrup/Programming

Move Constructor and assignment Define move operations to “steal” representation class vector { int sz; double* elem; public: vector(vector&&); // move constructor: “steal” the elements vector& operator=(vector&&); // move assignment: // destroy target and “steal” the elements // . . .  }; && indicates “move” Stroustrup/Programming

Move implementation vector::vector(vector&& a) // move constructor :sz{a.sz}, elem{a.elem} // copy a’s elem and sz { a.sz = 0; // make a the empty vector a.elem = nullptr; } Stroustrup/Programming

Move implementation   vector& vector::operator=(vector&& a) // move assignment { delete[] elem; // deallocate old space elem = a.elem; // copy a’s elem and sz sz = a.sz; a.elem = nullptr; // make a the empty vector a.sz = 0; return *this; // return a self-reference (see §17.10) } Stroustrup/Programming

Essential operations Constructors from one or more arguments Default constructor Copy constructor (copy object of same type) Copy assignment (copy object of same type) Move constructor (move object of same type) Move assignment (move object of same type) Destructor If you define one of the last 5, define them all Stroustrup/Programming

Arrays Arrays don’t have to be on the free store char ac[7]; // global array – “lives” forever – in static storage int max = 100; int ai[max]; int f(int n) { char lc[20]; // local array – ”lives” until the end of scope – on stack int li[60]; double lx[n]; // error: a local array size must be known at compile time // vector<double> lx(n); would work // … } Stroustrup/Programming

Address of: & You can get a pointer to any object not just to objects on the free store int a; char ac[20]; void f(int n) { int b; int* p = &b; // pointer to individual variable p = &a; // now point to a different variable char* pc = ac; // the name of an array names a pointer to its first element pc = &ac[0]; // equivalent to pc = ac pc = &ac[n]; // pointer to ac’s nth element (starting at 0th) // warning: range is not checked // … } pc: p: a: ac: Stroustrup/Programming

Arrays (often) convert to pointers void f(int pi[ ]) // equivalent to void f(int* pi) { int a[ ] = { 1, 2, 3, 4 }; int b[ ] = a; // error: copy isn’t defined for arrays b = pi; // error: copy isn’t defined for arrays. Think of a // (non-argument) array name as an immutable pointer pi = a; // ok: but it doesn’t copy: pi now points to a’s first element // Is this a memory leak? (maybe) int* p = a; // p points to the first element of a int* q = pi; // q points to the first element of a } 1st pi: 2nd a: 1 2 3 4 p: q: Stroustrup/Programming

Arrays don’t know their own size void f(int pi[ ], int n, char pc[ ]) // equivalent to void f(int* pi, int n, char* pc) // warning: very dangerous code, for illustration only, // never “hope” that sizes will always be correct { char buf1[200]; strcpy(buf1,pc); // copy characters from pc into buf1 // strcpy terminates when a '\0' character is found // hope that pc holds less than 200 characters strncpy(buf1,pc,200); // copy 200 characters from pc to buf1 // padded if necessary, but final '\0' not guaranteed int buf2[300]; // you can’t say int buf2[n]; n is a variable if (300 < n) error("not enough space"); for (int i=0; i<n; ++i) buf2[i] = pi[i]; // hope that pi really has space for // n ints; it might have less } Stroustrup/Programming

Be careful with arrays and pointers char* f() { char ch[20]; char* p = &ch[90]; // … *p = 'a'; // we don’t know what this will overwrite char* q; // forgot to initialize *q = 'b'; // we don’t know what this will overwrite return &ch[10]; // oops: ch disappears upon return from f() // (an infamous “dangling pointer”) } void g() char* pp = f(); *pp = 'c'; // we don’t know what this will overwrite // (f’s ch is gone for good after the return from f) Stroustrup/Programming

Why bother with arrays? It’s all that C has In particular, C does not have vector There is a lot of C code “out there” Here “a lot” means N*1B lines There is a lot of C++ code in C style “out there” Here “a lot” means N*100M lines You’ll eventually encounter code full of arrays and pointers They represent primitive memory in C++ programs We need them (mostly on free store allocated by new) to implement better container types Avoid arrays whenever you can They are the largest single source of bugs in C and (unnecessarily) in C++ programs They are among the largest sources of security violations, usually (avoidable) buffer overflows Stroustrup/Programming

Types of memory vector glob(10); // global vector – “lives” forever vector* some_fct(int n) { vector v(n); // local vector – “lives” until the end of scope vector* p = new vector(n); // free-store vector – “lives” until we delete it // … return p; } void f() vector* pp = some_fct(17); delete pp; // deallocate the free-store vector allocated in some_fct() it’s easy to forget to delete free-store allocated objects so avoid new/delete when you can (and that’s most of the time) Stroustrup/Programming

Vector (primitive access) // a very simplified vector of doubles: vector v(10); for (int i=0; i<v.size(); ++i) { // pretty ugly: v.set(i,i); cout << v.get(i); } for (int i=0; i<v.size(); ++i) { // we’re used to this: v[i]=i; cout << v[i]; 10 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 Stroustrup/Programming

Vector (we could use pointers for access) // a very simplified vector of doubles: class vector { int sz; // the size double* elem; // pointer to elements public: explicit vector(int s) :sz{s}, elem{new double[s]} { } // constructor // … double* operator[ ](int n) { return &elem[n]; } // access: return pointer }; vector v(10); for (int i=0; i<v.size(); ++i) { // works, but still too ugly: *v[i] = i; // means *(v[i]), that is, return a pointer to // the ith element, and dereference it cout << *v[i]; } 10 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 Stroustrup/Programming

Vector (we use references for access) // a very simplified vector of doubles: class vector { int sz; // the size double* elem; // pointer to elements public: explicit vector(int s) :sz{s}, elem{new double[s]} { } // constructor // … double& operator[ ](int n) { return elem[n]; } // access: return reference }; vector v(10); for (int i=0; i<v.size(); ++i) { // works and looks right! v[i] = i; // v[i] returns a reference to the ith element cout << v[i]; } 10 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 Stroustrup/Programming

Pointer and reference You can think of a reference as an automatically dereferenced immutable pointer, or as an alternative name for an object Assignment to a pointer changes the pointer’s value Assignment to a reference changes the object referred to You cannot make a reference refer to a different object int a = 10; int* p = &a; // you need & to get a pointer *p = 7; // assign to a through p // you need * (or [ ]) to get to what a pointer points to int x1 = *p; // read a through p int& r = a; // r is a synonym for a r = 9; // assign to a through r int x2 = r; // read a through r p = &x1; // you can make a pointer point to a different object r = &x1; // error: you can’t change the value of a reference Stroustrup/Programming

Next lecture We’ll see how we can change vector’s implementation to better allow for changes in the number of elements. Then we’ll modify vector to take elements of an arbitrary type and add range checking. That’ll imply looking at templates and revisiting exceptions. Stroustrup/Programming