CODEWITHSUNDEEP
pythontuples
darkpirate
darkpirate

Reputation: 722

Unpacking and re-packing a tuple (Python 2.x)

I've written a function that accepts, works and return simple, non-nested tuples.

eg.:

myfun((1,2,3,4)):
... -> logic
return (1,2,3,4) -> the numbers can change, but the shape will be the same

Since the logic works only with mono-dimensional tuples but is conceptually the same for each level of nesting. I was wondering if there's a way to convert a nested tuple like ((1,2,(3,)),(4,)) into the plain (1,2,3,4) and then convert it back to ((1,2,(3,)),(4,)).

Basically what I want is to unpack a generic input tuple, work with it, and then pack the results in the same shape of the given one.

Is there a Pythonic way to accomplish such a task?

Probably the unpacking could be solved with recursion, however I'm not sure about the "re-packing" part.

Upvotes: 4

Views: 1259

Answers (3)

EsotericVoid
EsotericVoid

Reputation: 2576

I submit my version. It uses the same function to flat and reconstruct the list. If flat is None it flattens, otherwise it reconstructs by yielding a tuple.

import collections


def restructure(original, flat=None):
    for el in original:
        if isinstance(el, collections.Iterable) and not isinstance(el, (str, bytes)):
            if flat:
                yield tuple(restructure(el, flat))
            else:
                yield from restructure(el)
        else:
            yield next(flat) if flat else el


def gen():
    i = 0
    while True:
        yield i
        i += 1


def myfun(iterable):
    flat = tuple(restructure(iterable))
    # your transformation ..
    flat = gen()  # assigning infinite number generator for testing
    return restructure(iterable, flat=iter(flat))


x = (1, (2, 3), (4, (5, 6)))
print(tuple(y for y in myfun(x)))  # (0, (1, 2), (3, (4, 5)))

Upvotes: 1

Julien
Julien

Reputation: 15249

This should work for the repacking:

x = (1,(2,3),(4,(5,6)))
y = (9,8,7,6,5,4)

def map_shape(x, y, start=0):
    if type(x) == tuple:
        l = []
        for item in x:
            mapped, n_item = map_shape(item, y[start:])
            start += n_item
            l.append(mapped)
        return tuple(l), start
    else:
        return y[start], start+1

map_shape(x,y)[0]

Output:

(9, (8, 7), (6, (5, 4)))

Upvotes: 2

Bart Van Loon
Bart Van Loon

Reputation: 1510

The unpacking is not that hard:

def unpack(parent):
    for child in parent:
        if type(child) == tuple:
            yield from unpack(child)
        else:
            yield child

for example, can do the trick.

Repacking is a bit trickier. I came up with the following, which works but is not very pythonic, I'm afraid:

def repack(structured, flat):
    output = []
    global flatlist
    flatlist = list(flat)
    for child in structured:
        if type(child) == tuple:
            output.append(repack(child, flatlist))
        else:
            output.append(flatlist.pop(0))

    return tuple(output)

Example usage is:

nested = ((1, 2, (3,)), (4,))
plain = tuple(unpack(nested))
renested = repack(nested, plain)

Hope this helps!

Upvotes: 3

Related Questions