Fastai module name "all" replaces Python function. What's best way to handle?

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Hi, inside a Jupyter notebook, I made a little utility to send tuples to a model.
class SequenceDataset(Dataset):
r"""Dataset wrapping Sequences (indexable and iterable).

    Each sample will be retrieved by indexing along the first dimension,
    tupled together.

    Arguments:
        *seqs: sequences that have the same length.
    """
    def __init__(self, seqs):
        assert all([len(seqs[0]) == len(s) for s in seqs])
        self.seqs = seqs
    def __getitem__(self, index):
        return tuple(s[index] for s in self.seqs)
    def __len__(self):
        return len(self.seqs[0])

The problem is that after from fastai2.vision.all import *, Python’s built-in all function is interpreted as a reference to fastai2’s all.py module. Then assert all(...) fails.

I worked around it by del all. But what is the best practice to deal with this particular situation and in general?

Thanks!