Iterator
Various examples of the iterator pattern.
Here is an example in Java:
import java.util.BitSet; import java.util.Iterator; public class BitSetIterator implements Iterator<Boolean> { private final BitSet bitset; private int index = 0; public BitSetIterator(BitSet bitset) { this.bitset = bitset; } public boolean hasNext() { return index < bitset.length(); } public Boolean next() { if (index >= bitset.length()) { throw new NoSuchElementException(); } return bitset.get(index++); } public void remove() { throw new UnsupportedOperationException(); } }
Two different usage examples:
import java.util.BitSet; public class TestClientBitSet { public static void main(String[] args) { // create BitSet and set some bits BitSet bitset = new BitSet(); bitset.set(1); bitset.set(3400); bitset.set(20); bitset.set(47); for (BitSetIterator iter = new BitSetIterator(bitset); iter.hasNext(); ) { Boolean b = iter.next(); String tf = (b.booleanValue() ? "T" : "F"); System.out.print(tf); } System.out.println(); } }
import java.util.ArrayList; import java.util.Collection; public class TestClientIterator { public static void main(String[] args) { Collection<Object> al = new ArrayList<Object>(); al.add(new Integer(42)); al.add("test"); al.add(new Double("-12.34")); for (Iterator<Object> iter = al.iterator(); iter.hasNext(); ) { System.out.println(iter.next()); } for (Object o : al) { System.out.println(o); } } }
Here is an example in C#:
using System; using System.Collections; class MainApp { static void Main() { ConcreteAggregate a = new ConcreteAggregate(); a[0] = "Item A"; a[1] = "Item B"; a[2] = "Item C"; a[3] = "Item D"; // Create Iterator and provide aggregate ConcreteIterator i = new ConcreteIterator(a); Console.WriteLine("Iterating over collection:"); object item = i.First(); while (item != null) { Console.WriteLine(item); item = i.Next(); } // Wait for user Console.Read(); } } // "Aggregate" abstract class Aggregate { public abstract Iterator CreateIterator(); } // "ConcreteAggregate" class ConcreteAggregate : Aggregate { private ArrayList items = new ArrayList(); public override Iterator CreateIterator() { return new ConcreteIterator(this); } // Property public int Count { get{ return items.Count; } } // Indexer public object this[int index] { get{ return items[index]; } set{ items.Insert(index, value); } } } // "Iterator" abstract class Iterator { public abstract object First(); public abstract object Next(); public abstract bool IsDone(); public abstract object CurrentItem(); } // "ConcreteIterator" class ConcreteIterator : Iterator { private ConcreteAggregate aggregate; private int current = 0; // Constructor public ConcreteIterator(ConcreteAggregate aggregate) { this.aggregate = aggregate; } public override object First() { return aggregate[0]; } public override object Next() { object ret = null; if (current < aggregate.Count - 1) { ret = aggregate[++current]; } return ret; } public override object CurrentItem() { return aggregate[current]; } public override bool IsDone() { return current >= aggregate.Count ? true : false ; } }
As a default behavior in PHP 5, using an object in a foreach structure will traverse all public values. Multiple Iterator classes are available with PHP to allow you to iterate through common lists, such as directories, XML structures and recursive arrays.
It's possible to define your own Iterator classes by implementing the Iterator interface, which will override the default behavior.
The Iterator interface definition:
interface Iterator { // Returns the current value function current(); // Returns the current key function key(); // Moves the internal pointer to the next element function next(); // Moves the internal pointer to the first element function rewind(); // If the current element is valid (boolean) function valid(); }
These methods are all being used in a complete foreach( $object as $key=>$value ) sequence. The methods are executed in the following order:
rewind() while valid() { current() in $value key() in $key next() } End of Loop
According to Zend, the current() method is called before and after the valid() method.
In Perl, objects providing an iterator interface either overload the <> (iterator operator)[1], or provide a hash or tied hash interface that can be iterated over with each[2]. Both <> and each return undef when iteration is complete.
Overloaded <> operator:
# fibonacci sequence package FibIter; use overload '<>' => 'next_fib'; sub new { my $class = shift; bless { index => 0, values => [0, 1] }, $class } sub next_fib { my $self = shift; my $i = $self->{index}++; $self->{values}[$i] ||= $i > 1 ? $self->{values}[-2]+$self->{values}[-1] : ($self->{values}[$i]); } # reset iterator index sub reset { my $self = shift; $self->{index} = 0 } package main; my $iter = FibIter->new; while (my $fib = <$iter>) { print "$fib","\n"; }
Iterating over a hash (or tied hash):
# read from a file like a hash package HashIter; use base 'Tie::Hash'; sub new { my ($class, $fname) = @_; my $obj = bless {}, $class; tie %$obj, $class, $fname; bless $obj, $class; } sub TIEHASH { # tie hash to a file my $class = shift; my $fname = shift or die 'Need filename'; die "File $fname must exist" unless [-f $fname]; open my $fh, '<', $fname or die "open $!"; bless { fname => $fname, fh => $fh }, $class; } sub FIRSTKEY { # (re)start iterator my $self = shift; my $fh = $self->{fh}; if (not fileno $self->{fh}) { open $fh, '<', $self->{fname} or die "open $!"; } # reset file pointer seek( $fh, 0, 0 ); chomp(my $line = <$fh>); $line } sub NEXTKEY { # next item from iterator my $self = shift; my $fh = $self->{fh}; return if eof($fh); chomp(my $line = <$fh>); $line } sub FETCH { # get value for key, in this case we don't # care about the values, just return my ($self, $key) = @_; return } sub main; # iterator over a word file my $word_iter = HashIter->new('/usr/share/dict/words'); # iterate until we get to abacus while (my $word = each( %$word_iter )) { print "$word\n"; last if $word eq 'abacus' } # call keys %tiedhash in void context to reset iterator keys %$word_iter;
In Python, iterators are objects that adhere to the iterator protocol. You can get an iterator from any sequence (e.g. lists, tuples, dictionaries, sets, etc.) with the iter() method. Another way to get an iterator is to create a generator, which is a kind of iterator. To get the next element from an iterator, you use the next() method (Python 2) / next() function (Python 3). When there are no more elements, it raises the StopIteration exception. To implement your own iterator, you just need an object that implements the next() method (Python 2) / __next__() method (Python 3).
Here are two use cases:
# from a sequence x = [42, "test", -12.34] it = iter(x) try: while True: x = next(it) # in Python 2, you would use it.next() print x except StopIteration: pass # a generator def foo(n): for i in range(n): yield i it = foo(5) try: while True: x = next(it) # in Python 2, you would use it.next() print x except StopIteration: pass
MATLAB supports both external and internal implicit iteration using either "native" arrays or cell arrays. In the case of external iteration where the onus is on the user to advance the traversal and request next elements, one can define a set of elements within an array storage structure and traverse the elements using the for-loop construct. For example,
% Define an array of integers myArray = [1,3,5,7,11,13]; for n = myArray % ... do something with n disp(n) % Echo integer to Command Window end
traverses an array of integers using the for keyword.
In the case of internal iteration where the user can supply an operation to the iterator to perform over every element of a collection, many built-in operators and MATLAB functions are overloaded to execute over every element of an array and return a corresponding output array implicitly. Furthermore, the arrayfun and cellfun functions can be leveraged for performing custom or user defined operations over "native" arrays and cell arrays respectively. For example,
function simpleFun % Define an array of integers myArray = [1,3,5,7,11,13]; % Perform a custom operation over each element myNewArray = arrayfun(@(a)myCustomFun(a),myArray); % Echo resulting array to Command Window myNewArray function outScalar = myCustomFun(inScalar) % Simply multiply by 2 outScalar = 2*inScalar;
defines a primary function simpleFun which implicitly applies custom subfunction myCustomFun to each element of an array using built-in function arrayfun.
Alternatively, it may be desirable to abstract the mechanisms of the array storage container from the user by defining a custom object-oriented MATLAB implementation of the Iterator Pattern. Such an implementation supporting external iteration is demonstrated in MATLAB Central File Exchange item Design Pattern: Iterator (Behavioural). This is written in the new class-definition syntax introduced with MATLAB software version 7.6 (R2008a) [3] and features a one-dimensional cell array realisation of the List Abstract Data Type (ADT) as the mechanism for storing a heterogeneous (in data type) set of elements. It provides the functionality for explicit forward List traversal with the hasNext(), next() and reset() methods for use in a while-loop.
References
- ↑ File handle objects implement this to provide line by line reading of their contents
- ↑ In Perl 5.12, arrays and tied arrays can be iterated over like hashes, with
each - ↑ "New Class-Definition Syntax Introduced with MATLAB Software Version 7.6". The MathWorks, Inc. March 2009. http://www.mathworks.com/access/helpdesk/help/techdoc/matlab_oop/brqzfth-1.html#brqzfth-3. Retrieved September 22, 2009.