Transcript PowerPoint
STL: C++ Standard Library
.
Main Ideas
General
purpose: generic data structures &
algorithms, templates
Flexibility: Allows for many combinations of
algorithm-container
Simple & uniform interface:
interface through templates (not inheritence)
Efficiency
Components
Containers:
data structures
vector, list, map, set, deque
Adaptors: high-level data structure
stack, queue, priority_queue
Iterators: allow access into containers
Algorithms: base algorithms
sort, copy, search, min, max, …
Streams: input/output
String
Example
Using
STL objects to implement a simplified
version of ex2
Data structures:
string – represent words
map<string,vector<string> >
Associate a word with the array of words
that appear after it
Quick Facts
Vector<T>
Implements an array of objects of type T
Allows random-access to array
Can grow on as needed basis
Map<KeyT,ValueT>
“Associative Array”: maps keys to values
Implemented as balanced binary tree
Markov-1.cpp
Extension
Same
but using k-order Markov chain
Represents the probability of a word after a
prefix of k words
Data structures:
list<string> - represent a list of objects
See Markov-k.cpp
Containers
Holds
copies of elements
Assumes Copy Ctor & operator =
The standard defines the interface, not the
implementation
Two main classes
Sequential containers:
list, vector,....
Associative containers:
map, multimap, set ...
Sequential Containers
Maintain
a linear sequence of objects
Types of operations
Access/insertion/deletion of
elements at the front/end of sequence
Random access to elements
Sequential Containers
list - a linked list of objects
Efficient insertion/deletion in
front/end/middle
vector - an extendable sequence of objects
Efficient insertion/deletion at end
Random access
deque – double-ended queue
Efficient insertion/deletion at front/end
Random access
Sequential Container Interface
size(),
empty()
push_front(x), push_back(x)
front(), back()
pop_front(), pop_back()
vector & deque
operator[](int index)
Associative Containers
Maintain
a collection of keys
Requires order on keys (less-than operator)
Keys can be accessed based on their order
(Typical) Implementation:
red-black binary trees
O(log n) time for access/insert/delete
Associative Containers
Set
A set of unique keys
Map
Associate a value to key (associative array)
Unique value of each key
Multiset
Multimap
Same, but allow multiple values
Associative Containers & Order
Associative
containers use operator< as
default order
We can control order by using our own
comparison function
To understand this issue, we need to use
function object
Function Objects
A class that implements operator()
Advantages:
Use the template mechanism (class versus
function)
Enable accumulating information in the
function object
Example
template<class T>
class less {
public:
bool operator()(T& lhs, T& rhs)
{ return lhs < rhs; }
};
less<int> cmp; // declare
if( cmp(1,2) )
…
if( less<int>()(1,2) )
…
an object
Creates temporary
objects, and then
call operator()
Function Object Bases
Base
classes for the functions objects are
defined in STL.
These provide standard names for the
arguments and return types.
template<class T>
class less :
public binary_function<T, T, bool>
{
…
}
Function Object Bases
template< class Arg, class Res>
struct unary_function {
typedef Arg argument_type;
typedef Res return_type;
};
template< class Arg, class Arg2, class Res>
struct binary_function {
typedef Arg first_argument_type;
typedef Arg2 second_argument_type;
typedef Res return_type;
};
Using Comparators
template<class T, class Cmp = less<T> >
class set {
…
}
…
set<int> s1;
a new
set<int,less<int> > s2;// Creates
same type
MyComp object.
set<int,MyComp > s3;
Use given
MyComp object.
MyComp cmp;
set<int,MyComp > s4(cmp);
STL Iterators
Iterators
are allow to traverse sequences
Methods
operator*
operator++, and operator—
Different types of iterators - to support read,
write and random access
Containers define their own iterator types
Changing the container can invalidate the
iterator
Iterator Types
Output Input
Read
Write
Iteration
x = *i
x = *i
x = *i
x = *i
*i = x
*i = x
*i = x
++
++
++, --
==, !=
==, !=
==, !=
++,
+=,
==,
<=,
*i = x
++
Comparison
Output:
Forward Bi-directional Random
--, +, -,
-=
!=, <, >,
>=
write only and can write only once
Input: read many times each item
Forward supports both read and write
Bi-directional support also decrement
Random supports random access (just like C
pointer)
Iterators & Containers
Bidirectional iterators:
list, map, set
Random access iterators:
vector, deque
Input/output/forward iterators:
iostreams
Iterators and Containers
T::iterator – iterator type for type T
begin() – front of the container
end() – element after last
Container C
…
Container::iterator i
for( i = C.begin(); i != C.end(); i++)
// do something with *i
Iterators & Streams
Can access iostreams through iterators:
istream_iterator<string> in(cin);
istream_iterator<string> endOfInput;
ostream_iterator<string> out(cout);
while( in != endOfInput )
{
string s = *in++;
*out++ = s;
*out++ = “ “;
}
see useStreamIterators.cpp
Sequence Adapters
Adapters
of basic containers
Very easy, but limited interface
stack<T,Seq>
provides push, pop, top, size and empty
queue<T,Seq>
also provides back
priority_queue<T,Seq,Cmp>
provides same interface as stack
uses a compare function object
Algorithms Overview
Sequence
operations
Non modifying: for_each, find, count,
search, mismatch, equal
Modifying: transform, copy, swap, replace,
fill, generate, remove, unique, reverse,
rotate, random_shuffle
Sorted
sequences operations
sort, lower_bound, upper_bound,
equal_range, binary_search, merge,
includes, set_union, intersection,
difference, symmetric_difference
Algorithms
Most
STL algorithms works on sequences
Sequences are passed as two iterators:
beginning element
element one after last
p
q
sequence [p,q)
Algorithms
depend on iterator type
not on container type
Copy
template< class In, class Out>
Out copy(In first, In last, Out res)
{
while (first != last)
*res++ = *first++;
return res;
}
See useCopy.cpp
Non-modifying Sequence
Algorithms
In find(In first, In last, const T& val)
find the first occurence of val in the sequence
In find_if(In first, In last, Pred p)
find the first element satisfying p
I1 find_first_of(I1 f1, I1 l1, I2 f2, I2 l2)
find the first match between two sequences.
I1 search( I1 f1, I1 l1, I2 f1, I2 l2 )
search for the sequence f2...l2 inside f1..l1
Sorted Sequence Algorithms
sort(In first, In last[, class cmp])
find the first occurence of val in the sequence
In lower_bound(In first, In last,
T const & val[, class cmp])
find the first element not less than val
bool binary_search(In first, In last,
T const & val[, class cmp])
check if val appears in the sequence
Out merge( I1 f1, I1 l1, I2 f1, I2 l2,
Out out )
merge two sorted sequences and write the merged
sequence onto the output iterator out