ph0t3k - 9 months ago 54

Python Question

My goal is to find any permutation of a diagonal in a nxn matrix (2 <= n <= 15). The matrix consists of zeros and ones.

Currently I do it like this:

`indices = [[j for j, x in enumerate(row) if x == 1]`

for row in self.matrix]

cart = list(itertools.product(*indices))

cart = [list(tup) for tup in cart]

cart = filter(lambda dia: len(list(set(dia))) == len(dia), cart)

return cart

This works fine if the matrix is not too large, but otherwise it fails with:

MemoryError

So is there a way to avoid the whole computation of cart? so that it for example one permutation is found, the computation stops?

Answer Source

Simply make all the evaluations lazy by not calling `list`

on the result of `itertools.product`

and using `itertools.ifilter`

in place of `filter`

:

```
from itertools import ifilter, product
indices = [[j for j, x in enumerate(row) if x == 1] for row in self.matrix]
cart = product(*indices)
found_cart = next(ifilter(lambda dia: len(set(dia)) == len(dia), cart), None)
```

`next`

returns the first case where the predicate in `ifilter`

is `True`

or returns `None`

in case there is no matching item.

The *computation* stops once a matching item is found.