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import itertools
from functools import reduce
def separate(predicate, iterable):
evaluated = ((predicate(el), el) for el in iterable)
key = lambda x: x[0]
grouped = itertools.groupby(sorted(evaluated, key=key), key=key)
groups = {label: [el for _, el in group] for label, group in grouped}
return groups[False], groups[True]
def unique(iterable):
return list(dict.fromkeys(iterable))
def zip_mappings(*mappings):
def common_keys(a, b):
all_keys = unique(itertools.chain(a.keys(), b.keys()))
intersection = set(a.keys()).intersection(b.keys())
return [key for key in all_keys if key in intersection]
keys = list(reduce(common_keys, mappings))
for key in keys:
yield key, tuple(m[key] for m in mappings)
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