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rapid and economical (it is possible to flatten the nested iterable partially, without having squandering time to the remaining part you don't need)
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This is the intelligence that may be present guiding slices. Considering the fact that Python has an designed-in operate named slice, you can pass some parameters and Examine how well it calculates missing parameters.
This takes advantage of parsel.utils.flatten which is great In relation to flattening numerous levels of list nesting. I found it useful to stop overhead of NumPy.
156 This can be a good looking reply with the votes to prove it, but it surely misses one thing: you may substitute None for just about any of your vacant Areas. One example is [None:None] will make an entire duplicate. This is useful when you'll want to specify the end of your assortment using a variable and want to include the final product.
The value of item will not need for use in almost any on the conditional clauses. A conditional3 may be used being a switch to either increase or not insert a value for the output list.
This is an approach I didn't see in another answers. It supports any volume of nesting, operates iteratively and without having libraries:
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This does also get the job done for just about any depth of nesting and It's really a lazy iterator which yields the products as requested:
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Take note this in fact makes use of a different language construct, a conditional expression, which alone is not really part of the comprehension syntax, when the if following the for…in is a component of list comprehensions and utilized to filter