It allows you to merge multiple iterables into a single sequence of tuples. This can be useful when you have several related iterables and want to process them together.
The function assigns an index value to each tuple, representing the position of the elements in the original iterables. This indexing provides a convenient way to access and reference elements based on their relative positions.
As a generator function, enummi generates and yields results one at a time, as they are needed. This lazy evaluation strategy can save memory and computational resources, especially when dealing with large or infinite sequences.
The function accepts a variable number of iterables as arguments (*args), allowing you to provide any number of iterables to be combined. It can handle different lengths of input iterables and adapt accordingly.
The function can work with various types of iterables, such as lists, tuples, strings, or any other iterable object. It is not limited to a specific data structure, providing flexibility in terms of input.
The implementation of enummi is relatively straightforward and concise, utilizing built-in Python functions (zip and enumerate) to achieve the desired functionality. This simplicity makes the function easy to understand and maintain.
from enummi import enummi
for i, a, b, c in enummi([1, 2, 3], [4, 5, 6], [7, 8, 9]):
print(i, a, b, c)
Output:
0 1 4 7
1 2 5 8
2 3 6 9
for i, a in enummi([1, 2, 3]):
print(i, a)
Output:
0 1
1 2
2 3
for i, a in enummi([]):
print(i, a)
Output:
(no output)