def median(collection, iteratee=None):
"""Calculate median of each element in `collection`. If iteratee is passed,
each element of `collection` is passed through a iteratee before the
median is computed.
Args:
collection (list|dict): Collection to process.
iteratee (mixed, optional): Iteratee applied per iteration.
Returns:
float: Result of median.
Example:
>>> median([1, 2, 3, 4, 5])
3
>>> median([1, 2, 3, 4])
2.5
.. versionadded:: 2.1.0
"""
length = len(collection)
middle = (length + 1) / 2
collection = sorted(ret[0] for ret in iteriteratee(collection, iteratee))
if pyd.is_odd(length):
result = collection[int(middle - 1)]
else:
left = int(middle - 1.5)
right = int(middle - 0.5)
result = (collection[left] + collection[right]) / 2
return result
class ManuscriptFactory(factory.Factory):
class Meta:
model = Manuscript
id = factory.Sequence(lambda n: n + 1)
siglum_disambiguator = factory.Faker("word")
museum_number = factory.Sequence(
lambda n: MuseumNumber("M", str(n)) if pydash.is_odd(n) else None
)
accession = factory.Sequence(lambda n: f"A.{n}" if pydash.is_even(n) else "")
period_modifier = factory.fuzzy.FuzzyChoice(PeriodModifier)
period = factory.fuzzy.FuzzyChoice(set(Period) - {Period.NONE})
provenance = factory.fuzzy.FuzzyChoice(set(Provenance) - {Provenance.STANDARD_TEXT})
type = factory.fuzzy.FuzzyChoice(set(ManuscriptType) - {ManuscriptType.NONE})
notes = factory.Faker("sentence")
colophon = Transliteration.of_iterable(
[TextLine.of_iterable(LineNumber(1, True), (Word.of([Reading.of_name("ku")]),))]
)
unplaced_lines = Transliteration.of_iterable(
[TextLine.of_iterable(LineNumber(1, True), (Word.of([Reading.of_name("nu")]),))]
)
references = factory.List(
[factory.SubFactory(ReferenceFactory, with_document=True)], TupleFactory
)
def test_is_odd(case, expected):
assert _.is_odd(case) == expected
