Guido said he has mooted this discussion, so it's probably not reaching
him. It took one thousand fewer messages for him to stop following this
than with PEP 572, for some reason :-).
But before putting it on auto-archive, the BDFL said (1) NO GO on getting a
new builtin; (2) NO OBJECTION to putting it in itertools.
My problem with the second idea is that *I* find it very wrong to have
something in itertools that does not return an iterator. It wrecks the
combinatorial algebra of the module.
That said, it's easy to fix... and I believe independently useful. Just
make grouping() a generator function rather than a plain function. This
lets us get an incremental grouping of an iterable. This can be useful if
the iterable is slow or infinite, but the partial groupings are useful in
themselves.
Python 3.7.0 (default, Jun 28 2018, 07:39:16)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from grouping import grouping
>>> grouped = grouping('AbBa', key=str.casefold)
>>> for dct in grouped: print(dct)
...
{'a': ['A']}
{'a': ['A'], 'b': ['b']}
{'a': ['A'], 'b': ['b', 'B']}
{'a': ['A', 'a'], 'b': ['b', 'B']}
This isn't so useful for the concrete sequence, but for this it would be
great:
for grouped in grouping(data_over_wire()):
process_partial_groups(grouped)
The implementation need not and should not rely on "pre-grouping" with
itertools.groupby:
def grouping(iterable, key=None):
groups = {}
key = key or (lambda x: x)
for item in iterable:
groups.setdefault(key(item), []).append(item)
yield groups
--
Keeping medicines from the bloodstreams of the sick; food
from the bellies of the hungry; books from the hands of the
uneducated; technology from the underdeveloped; and putting
advocates of freedom in prisons. Intellectual property is
to the 21st century what the slave trade was to the 16th.
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