Here are a few title options, keeping in mind the question format and focusing on the core functionality: * **How to Iterate Over a Circular List in Python Using itertools.cycle?** * **How Do I Creat

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Here are a few title options, keeping in mind the question format and focusing on the core functionality:

* **How to Iterate Over a Circular List in Python Using itertools.cycle?**
* **How Do I Create a Reusable Circular Iterator in Python?**
* **Efficie

Circular List Iteration in Python

Implementing an iterator that traverses a circular list repeatedly, always starting from the last visited item, is a common requirement in scenarios such as connection pooling. Python provides an elegant solution for this task with its itertools.cycle function.

itertools.cycle takes an iterable (such as a list) as its input and returns an infinite iterator that repeatedly cycles through its elements. The iterator does not advance automatically, so to manually retrieve values, you can call the next() function on the iterator object.

For instance, let's consider a circular list lst containing the elements 'a', 'b', 'c'. Using itertools.cycle, we can create a circular iterator as follows:

from itertools import cycle

lst = ['a', 'b', 'c']

pool = cycle(lst)
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Now, we can iterate over the circular list repeatedly by calling next on the pool iterator:

for item in pool:
    print(item)
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This will print the elements of lst in an infinite loop:

a b c a b c ...
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To advance the iterator manually and retrieve values one by one, you can use the next function directly:

print(next(pool))
# Output: a
print(next(pool))
# Output: b
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In summary, itertools.cycle provides a concise and efficient way to create a circular list iterator in Python. By using next on the iterator object, you can manually advance the iterator and retrieve values one by one as needed.

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