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Intro to the C++ Standard Template Library (STL)

Intro to the C++ Standard Template Library (STL). The STL is a collection of related software elements Containers Data structures: store values according to a specific organization Iterators Variables used to give flexible access to the values in a container Algorithms

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Intro to the C++ Standard Template Library (STL)

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  1. Intro to the C++ Standard Template Library (STL) • The STL is a collection of related software elements • Containers • Data structures: store values according to a specific organization • Iterators • Variables used to give flexible access to the values in a container • Algorithms • Functions that use iterators to access values in containers • Perform computations that modify values, or creates new ones • Function objects • Encapsulate a function as an object, use to modify an algorithm • The STL makes use of most of what we’ve covered • Extensive use of function and class templates, concepts • The STL makes use of several new ideas too • typedefs, traits, and associated types

  2. Intro to C++ STL Containers • Goals • See how STL containers are implemented • See how differences in implementation affect use • We’ll cover several kinds • Focus on template concepts • And how each container’s concept relates to its implementation • Example to the left prints v[0] is 1 v[1] is 2 v[2] is 4 #include <iostream> #include <vector> using namespace std; int main (int, char *[]) { vector<int> v; // This would be asking for trouble.... // v[0] = 1; v[1] = 2; v[2] = 4; // ... but this works fine... v.push_back (1); v.push_back (2); v.push_back (4); // ... and now this is ok ... for (size_t s = 0; s < v.size(); ++s) { cout << "v[" << s << "] is " << v[s] << endl; } return 0; }

  3. Example: C++ Array, type traits template <class T, size_t N> struct block{ // every iterator must have value, difference, reference and pointer types. typedef T value_type; typedef value_type* pointer; typedef const value_type* const_pointer; typedef value_type& reference; typedef const value_type& const_reference; typedef ptrdiff_t different_type;// should always be signed typedef size_t size_type; // should always be unsigned typedef pointer iterator; // iterator types typedef const_pointer const_iterator; }; From Matthew H. Austern, “Generic Programming and the STL”

  4. Containers Must Work with Iterators • Declare appropriate iterator types (traits) typedef pointer iterator; typedef const_pointer const_iterator; • Provide iterator accessor/factory methods iterator begin() {return data;} iterator end() {return data+N;} const_iterator begin() const {return data;} const_iterator end() const {return data+N;} iterator rbegin() {return data+N-1;} iterator rend() {return data-1;} const_iterator rbegin() const {return data+N-1;} const_iterator rend() const {return data-1;}

  5. Example: Array-based STL Container template <class T, size_t N> struct block{ // typedef’s defining required types // define both mutable and const versions iterator begin() {return data;} const_iterator begin() const {return data;} iterator end() {return data+N;} const_iterator end() const {return data+N;} // accessor methods reference operator[](size_type n) {return data[n];} const_reference operator[](size_type n) const {return data[n];} size_type size() const {return N;} T data [N]; };

  6. Basic Requirements for an STL Container • Contains elements: value semantics • Containers may not overlap • An element belongs to at most one container. • may copy by value into other containers • object ownership can not be shared • Object’s lifetime may not extend beyond that of the container. • object created no earlier than when container is constructed • contained object are destroyed when container is destroyed • Container may be fixed or variable size. • Provide interfaces to contained values • Iterators with all elements contained in the range [A.begin(),A.end()) • must define ancillary types: value_type, pointer, const_pointer, reference, const_reference, difference_type and size_type. • Should obey the “principle of least surprise” • For example a linked list would not provide [] • Provide operations for a regular type • Assignable, Default Constructible, Equality Comparable

  7. Classifying containers • Containers may be classified by the type of iterator: • Forward: supports forward iterators • Reversible: is a Forward Container whose iterators bidirectional iterators. A reversible container must define reverse_iterator, const_reverse_iterator and the methods rbegin() and rend(). • Reverse iterator range [A.rbegin(),A,rend()) • Random Access: A reversible container whose iterators are random access iterators. It defines the operator operator[]().

  8. Hierarchy of STL Container Concepts From: Matthew H. Austern, “Generic Programming and the STL” Container Forward Container Associative (variable size) Reversible Container Simple Associative Container Pair Associative container Sequence (variable size) Random Access Container Unique Associative Container Multiple Associative Container Front Insertion Sequence Back Insertion Sequence Sorted Associative Container Hashed Associative Container

  9. General Container Concepts Container • Notice containers can have multiple classifications • Useful to look at differences between data structures! • Back vs. front insertion • Forward vs. reversible vs. random access • More general concepts higher in the hierarchy • More specific concepts appear farther down Forward Container slist Sequence list Reversible Container Front Insertion Sequence Back Insertion Sequence Random Access Container deque vector refined by models

  10. Container: Top of its Concept Hierarchy • Valid Expressions Complexity • Copy constructor X(a) linear • Copy constructor X b(a) linear • Assignment operator b = a linear • Destructor a.~X() linear • Beginning of range a.begin() constant • End of range a.end() constant • Size a.size() linear -- O(N) • Maximum size a.max_size() amortized, constant • Empty a.empty() amoritized, constant • Swap a.swap(b) linear – O(N) Container • Invariants (for Container a): • valid range: [a.begin(), a.end()), but order is not guaranteed • Range size: a.size() == distance(a.begin(), a.end()) • Completeness: Iterating through the range [a.begin(), a.end()) will access all elements.

  11. Container • Container concept: • Owns elements that it stores. • Provides methods to access elements • Defines an associated iterator type • Requires iterator to model the input_iterator concept • Elements are unordered. • Only one active iterator permitted. • Refinement of Assignable • Associated types: • value_type: must model Assignable • reference: usually value_type& • const_reference: usually const value_type& • pointer: usually value_type* • const_pointer: usually const value_type* • iterator: must model input iterator. Expected its value, reference and pointer types are the same as the containers. Its not required to be mutable. • const_iterator: value type is expected to be the containers value type (not const value_type). Reference and pointer types expected to be const versions of containers. • different_type: signed integral type, represents distance between iterarors. • size_type: unsigned integral represents >0 value of difference type.

  12. Forward Container • Additional Expressions Complexity • Equality a == b linear • Inequality a != b linear • Less than a < b linear • Greater than a > b linear • Less than or equal a <= b linear • Greater than or equal a >= b linear Container deque vector Forward Container slist list • Refinement of Container, Equality Comparable, LessThan Comparable • equality semantics: sizes are equal and each element is equal • Invariants (for Forward Container a): • Ordering: ordering is consistent across accesses, providing no mutations of occurred.

  13. Reversible Container • Additional Expressions Complexity • Beginning of reverse range a.rbegin() amortized constant • End of reverse range a.rend() amortized constant Container list Forward Container vector Reversible Container deque • Refinement of Forward Container whose iterators are bidirectional. • Introduces types: reverse_iterator and const_reverse_iterator • Invariants: • Valid range: [a.rbegin(), a.rend()) • Equavalence of ranges: forward and reverse distance is the same.

  14. Random Access Container • Additional Expressions Complexity • Element access a[n] Amortized constant Container vector Forward Container deque Reversible Container Refinement of Reversible Container whose iterator is Random Access. Random Access Container

  15. Sequence • Additional Expressions Complexity • Fill constructor X(n,t) linear • Fill constructor X(n) (same as X(n,T()) linear • Default constructor X()(same as X(0,T()) linear • Range constructor X(i,j) linear • Insert a.insert(p,t) sequence-dependent • Fill insert a.insert(p,n,t) linear • Range insert a.insert(p,i,j) linear • Erase a.erase(p) sequence-dependent • Range erase a.erase(p,q) linear • Front a.front() amortized constant Container vector deque Forward Container list slist Refinement of Forward Container, Default Constructable Elements arranged in a strict order. After an insert operation iterators are not guaranteed to remain valid Sequence

  16. Front Insertion Sequence • Additional Expressions Complexity • a.front() • Push front a.push_front(t) constant • Pop front a.pop_front(t) constant Container slist Forward Container list Sequence deque Front Insertion Sequence

  17. Back Insertion Sequence • Additional Expressions Complexity • Back a.back() constant • Push back a.push_back(t) constant • Pop back a.pop_back(t) constant Container list Forward Container vector Sequence deque Back Insertion Sequence

  18. Sequential Containers • Sequential Containers • vector: fast random access • list: fast insertion/deletion • deque: double-ended queue • Sequential Containers Adaptors • stack: last in/first out stack • queue: First in/First out queue • priority queue: priority management • Element types must support assignment and copy. • Only vector and deque support subscripting

  19. Sequence s • vector can be used as a stack: • push_back(), pop_back() • pop_back() does not return a value, must use back(). • List operations • insert(), erase() and clear(). • not as efficient on vectors. • a list container is optimized for inserting and removing from arbitrary locations within the sequence. • adding/removing elements may invalidate iterator

  20. size and capacity • the size() method returns the number of elements in the container • the capacity() method indicates the maximum number of elements that can be stored in the current memory allocation – vector only. • capacity() – size() is the number of elments that can be added before memory must be reallocated. • max_size() is the largest possible container of this type. • calling resize() on a vector may move elements to another location invalidating any iterators. • instantiating a container may result in a bad_alloc() exception vector<int> v(10000);

  21. Associative Container Concepts Container refined by models Forward Container Associative Container multiset Simple Associative Container Pair Associative container set multimap map Unique Associative Container Multiple Associative Container hash_multiset hash_set hash_multimap Sorted Associative Container Hashed Associative Container hash_map

  22. Associative Container hash_set hash_multiset • Additional Expressions Complexity • Default constructor X () constant • Default constructor X a; constant • Find a.find(k) logarithmic • Count a.count(k) O(log(size())+count(k)) • Equal range a.equal_range(k)) logarithmic • Erase key a.erase(k) O(log(size())+count(k)) • Erase element a.erase(p) constant • Erase range a.erase(p,q) O(log(size())+count(k)) multiset multimap set map hash_map hash_multimap

  23. Unique Associative Container • Additional Expressions Complexity • Range constructor X a(i,j) linear • Insert element a.insert(t) logarithmic • Insert range a.insert(i,j) O(Nlog(size()+N)) hash_set set map hash_map

  24. Multiple Associative Container • Additional Expressions Complexity • Range constructor X a(i,j) linear • Insert element a.insert(t) logarithmic • Insert range a.insert(i,j) O(Nlog(size()+N)) hash_multiset multiset multimap hash_multimap

  25. Sorted Associative Container • Additional Expressions Complexity • Default constructors X (); X a; constant • Default constructor with comparator X a(c) constant • Range constructor X(i,j) O(NlogN) • Range constructor w/ comparator X a(i,j,c) O(NlogN) • Key comparison a.key_comp() constant • Value comparison a.value_comp() constant • Lower bound a.lower_bound(k) logarithmic • Upper bound a.upper_bound(k) logarithmic • Equal range a.equal_range(k) logarithmic • Insert with hint a.insert(p,t) logarithmic multimap map multiset set

  26. Hashed Associative Container • Additional Expressions Complexity • Default constructors X (); X a; constant • Default constructor with bucket count X a(n) constant • Default constructor with hash function X a(n,h) constant • Default constructor with key equality X a(n,h,k) constant • Range constructor X a(i,j) linear • Range constructor with bucket count X a(i,j,n) linear • Range constructor w/ hash fxn X a(i,j,n,h) linear • Range constructor w/ key eq X a(i,j,n,h,k) linear • Hash function a.hash_funct() constant • Key equality a.key_eq() constant • Bucket count a.bucket_count() constant • Resize a.resize() linear hash_set hash_multiset hash_map hash_multimap

  27. Example Using map • write a program that maps c-style strings for numbers specifying your own comparison operator (<) // define a functor for comparing c-style strings class CStringLess { public: bool operator()(const char *s1, const char *s2) { return strcmp(s1, s2) < 0; } }; // define convenience typedefs typedef map<const char *, const char *, CStringLess> mapType; typedef mapType::value_type pairType; mapType tbl; // the table tbl["00"] = "Zero"; tbl["01"] = "One"; tbl["02"] = "Two"; tbl["03"] = "Three"; tbl["04"] = "Four"; tbl["05"] = "Five"; tbl["06"] = "Six"; tbl["07"] = "Seven";tbl["08"] = "Eight"; tbl["09"] = "Nine";

  28. continued • Looking for a value mapType::const_iterator cit = tbl.find(“05”) if (cit == tbl.end()) … found it … else … not found … • Erase a value mapType::iterator iter = tbl.find(eraseVal); if (iter != tbl.end()) tbl.erase(iter); • Inserting values using insert() pair<mapType::iterator, bool> ret = tbl.insert(make_pair(eraseVal, "XXXXX")); if (ret.second) std::cout << "Inserted entry: “ << ret.first->first << "\n";

  29. Student Records Num LastName FirstName MName Email StdtId DropCd Score Grade 1) Alhaddad Lorinda Hang al@cecX.wustl.edu 000007 EN 87 B 2) Asnicar Reynalda Phebe ar@cecX.wustl.edu 000000 EN 97 A 3) Baudino Ernesto Rex be@cecX.wustl.edu 000016 WD -1 NG 4) Bock Ester Jimmy be@cecX.wustl.edu 000010 EN 88 B 5) Bonavita Elias Johnathan be@cecX.wustl.edu 000012 EN 71 C 6) Botti Maybell Shawnta bm@cecX.wustl.edu 000014 EN 27 F 7) Dailey Kyle Quinn dk@cecX.wustl.edu 000018 DP -1 NG 8) Debellis Rusty Gale dr@cecX.wustl.edu 000009 EN 85 B 9) Duldulao Sherman Orlando ds@cecX.wustl.edu 000003 EN 95 A 10) Hertweck Carmelo Garret hc@cecX.wustl.edu 000011 EN 80 B 11) Laughead Troy Kirby lt@cecX.wustl.edu 000015 EN 39 F 12) Lieuallen Cristen Erma lc@cecX.wustl.edu 000001 EN 93 A 13) Malsom Anton Darrell ma@cecX.wustl.edu 000013 EN 72 C 14) Mcbrayer Jerald Wendell mj@cecX.wustl.edu 000019 DP -1 NG 15) Myer Brandie Aleen mb@cecX.wustl.edu 000002 EN 92 A 16) Schmid Tarsha Louis st@cecX.wustl.edu 000008 EN 83 B 17) Siroka Odis Tom so@cecX.wustl.edu 000017 WD -1 NG 18) Tutaj Keva Venessa tk@cecX.wustl.edu 000004 EN 88 B 19) Ventrella Jene Reita vj@cecX.wustl.edu 000005 EN 83 B 20) Waz Nereida Sherill wn@cecX.wustl.edu 000006 EN 85 B

  30. Example using multimap typedef vector<string> record_t; typedef vector<record_t> roster_t; roster_t roster; map<string, record_t> nameMap; multimap<string, record_t> gradeMap; // Now get roster records while (getline(fin, line)) { vector<string> fields; // skip blank lines if (string2flds(fields, line, "\t", " \n\r") == 0) continue; // create student record, ignoring first field record_t rec(fields.begin()+1, fields.end()); roster.push_back(rec);

  31. continued { // … loop reading records // Add to name to roster mapping nameMap[fullName] = roster.back(); // Add to grade to roster mapping gradeMap.insert(make_pair(rec[Grade], rec)); } // print the number of students receiving an A cout << "Students getting an A (" << gradeMap.count("A") << ")\n"; // print names of students receivign an A multimap<string, record_t>::const_iterator iter = gradeMap.lower_bound("A"); for (; iter != gradeMap.upper_bound("A"); ++iter) cout << "\t" << iter->second[LastName] << ", " << iter->second[FirstName] << endl; // All students map<string, record_t>::const_iterator iterx = nameMap.begin(); for (; iterx != nameMap.end(); ++iterx) cout << iterx->second[LastName] << endl;

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