In some cases it might be preferable to use a stack instead of recursion for generators. It should be possible to rewrite a recursive method using a stack and a while loop.
Here's an example of a recursive method which uses a callback and can be rewritten using stack logic:
def traverse_tree(callback):
# Get the root node from somewhere.
root = get_root_node()
def recurse(node):
callback(node)
for child in node.get('children', []):
recurse(child)
recurse(root)
The above method traverses a node tree where each node has a children
array which may contain child nodes. As each node is encountered, the callback is issued and the current node is passed to it.
The method could be used this way, printing out some property on each node.
def callback(node):
print(node['id'])
traverse_tree(callback)
Use a stack instead and write the traversal method as a generator
# A stack-based alternative to the traverse_tree method above.
def iternodes():
stack = [get_root_node()]
while stack:
node = stack.pop()
yield node
for child in reversed(node.get('children', [])):
stack.append(child)
(Note that if you want the same traversal order as originally, you need to reverse the order of children because the first child appended to the stack will be the last one popped.)
Now you can get the same behavior as traverse_tree
above, but with a generator:
for node in iternodes():
print(node['id'])
This isn't a one-size-fits-all solution but for some generators you might get a nice result substituting stack processing for recursion.
itertools.count
rather than roll your own solution, loop-based or othersise. – Skardol