Simplifying the Journey, One Step at a Time
In essence, the Iterator Design Pattern transforms your exploration of data structures into a guided journey, revealing one element at a time, empowering you to navigate efficiently and focus on what matters most.
- Define an iterator interface. This specifies the methods like
hasNext()
to check for remaining elements and next() to retrieve the next element. - Each collection implements the iterator interface. They create and return an iterator object specific to the collection's internal structure.
- Clients use the iterator to access elements. They call
hasNext()
to check if there are more elements and next() to retrieve and process each element one at a time. - The iterator manages the traversal logic. It keeps track of the current position and advances it appropriately for each
next()
call.
- Simplified access Clients focus on iterating elements, not worrying about the collection's internal structure.
- Lazy evaluation Elements are retrieved only when needed, not all at once, improving memory efficiency.
- Decoupling Changes in the collection's implementation don't affect the iterating client code.
- Composable operations Iterators can be used with other Design Patterns like chain of responsibility or observer for efficient processing.
class NumberCollection:
def __init__(self):
self._numbers = [1, 2, 3, 4, 5]
def __iter__(self):
return NumberIterator(self._numbers)
class NumberIterator:
def __init__(self, numbers):
self._numbers = numbers
self._index = 0
def __iter__(self):
return self
def __next__(self):
if self._index < len(self._numbers):
number = self._numbers[self._index]
self._index += 1
return number
else:
raise StopIteration
# Client code using the iterator
collection = NumberCollection()
for number in collection:
print(number) # Outputs: 1, 2, 3, 4, 5
- Use the Iterator pattern when you need to sequentially access elements in a collection without exposing its internal details.
- Overuse can lead to complex iterator implementations for simple structures and unnecessary abstractions.
- Choose clear and consistent naming conventions for iterator interfaces and methods.